././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7557669 mypy-1.19.0/0000755000175100017510000000000015112310012012230 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/CHANGELOG.md0000644000175100017510000074571715112307767014115 0ustar00runnerrunner# Mypy Release Notes ## Next Release ## Mypy 1.19 We’ve just uploaded mypy 1.19.0 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Performance Improvements - Switch to a more dynamic SCC processing logic (Ivan Levkivskyi, PR [20053](https://github.com/python/mypy/pull/20053)) - Speed up type aliases (Ivan Levkivskyi, PR [19810](https://github.com/python/mypy/pull/19810)) ### Fixed‑Format Cache Improvements Mypy uses a cache by default to speed up incremental runs by reusing partial results from earlier runs. Mypy 1.18 added a new binary fixed-format cache representation as an experimental feature. The feature is no longer experimental, and we are planning to enable it by default in a future mypy release (possibly 1.20), since it's faster and uses less space than the original, JSON-based cache format. Use `--fixed-format-cache` to enable the fixed-format cache. Mypy now has an extra dependency on the `librt` PyPI package, as it's needed for cache serialization and deserialization. Mypy ships with a tool to convert fixed-format cache files to the old JSON format. Example of how to use this: ``` $ python -m mypy.exportjson .mypy_cache/.../my_module.data.ff ``` This way existing use cases that parse JSON cache files can be supported when using the new format, though an extra conversion step is needed. This release includes these improvements: - Force-discard cache if cache format changed (Ivan Levkivskyi, PR [20152](https://github.com/python/mypy/pull/20152)) - Add tool to convert binary cache files to JSON (Jukka Lehtosalo, PR [20071](https://github.com/python/mypy/pull/20071)) - Use more efficient serialization format for long integers in cache files (Jukka Lehtosalo, PR [20151](https://github.com/python/mypy/pull/20151)) - More robust packing of floats in fixed-format cache (Ivan Levkivskyi, PR [20150](https://github.com/python/mypy/pull/20150)) - Use self-descriptive cache with type tags (Ivan Levkivskyi, PR [20137](https://github.com/python/mypy/pull/20137)) - Use fixed format for cache metas (Ivan Levkivskyi, PR [20088](https://github.com/python/mypy/pull/20088)) - Make metas more compact; fix indirect suppression (Ivan Levkivskyi, PR [20075](https://github.com/python/mypy/pull/20075)) - Use dedicated tags for most common cached instances (Ivan Levkivskyi, PR [19762](https://github.com/python/mypy/pull/19762)) ### PEP 747: Annotating Type Forms Mypy now recognizes `TypeForm[T]` as a type and implements [PEP 747](https://peps.python.org/pep-0747/). The feature is still experimental, and it's disabled by default. Use `--enable-incomplete-feature=TypeForm` to enable type forms. A type form object captures the type information provided by a runtime type expression. Example: ```python from typing_extensions import TypeForm def trycast[T](typx: TypeForm[T], value: object) -> T | None: ... def example(o: object) -> None: # 'int | str' below is an expression that represents a type. # Unlike type[T], TypeForm[T] can be used with all kinds of types, # including union types. x = trycast(int | str, o) if x is not None: # Type of 'x' is 'int | str' here ... ``` This feature was contributed by David Foster (PR [19596](https://github.com/python/mypy/pull/19596)). ### Fixes to Crashes - Do not push partial types to the binder (Stanislav Terliakov, PR [20202](https://github.com/python/mypy/pull/20202)) - Fix crash on recursive tuple with Hashable (Ivan Levkivskyi, PR [20232](https://github.com/python/mypy/pull/20232)) - Fix crash related to decorated functions (Stanislav Terliakov, PR [20203](https://github.com/python/mypy/pull/20203)) - Do not abort constructing TypeAlias if only type parameters hold us back (Stanislav Terliakov, PR [20162](https://github.com/python/mypy/pull/20162)) - Use the fallback for `ModuleSpec` early if it can never be resolved (Stanislav Terliakov, PR [20167](https://github.com/python/mypy/pull/20167)) - Do not store deferred NamedTuple fields as redefinitions (Stanislav Terliakov, PR [20147](https://github.com/python/mypy/pull/20147)) - Discard partial types remaining after inference failure (Stanislav Terliakov, PR [20126](https://github.com/python/mypy/pull/20126)) - Fix an infinite recursion bug (Stanislav Terliakov, PR [20127](https://github.com/python/mypy/pull/20127)) - Fix IsADirectoryError for namespace packages when using --linecoverage-report (wyattscarpenter, PR [20109](https://github.com/python/mypy/pull/20109)) - Fix an internal error when creating cobertura output for namespace package (wyattscarpenter, PR [20112](https://github.com/python/mypy/pull/20112)) - Allow type parameters reusing the name missing from current module (Stanislav Terliakov, PR [20081](https://github.com/python/mypy/pull/20081)) - Prevent TypeGuardedType leak from narrowing declared type as part of type variable bound (Stanislav Terliakov, PR [20046](https://github.com/python/mypy/pull/20046)) - Fix crash on invalid unpack in base class (Ivan Levkivskyi, PR [19962](https://github.com/python/mypy/pull/19962)) - Traverse ParamSpec prefix where we should (Ivan Levkivskyi, PR [19800](https://github.com/python/mypy/pull/19800)) - Fix daemon crash related to imports (Ivan Levkivskyi, PR [20271](https://github.com/python/mypy/pull/20271)) ### Mypyc: Support for `__getattr__`, `__setattr__`, and `__delattr__` Mypyc now has partial support for `__getattr__`, `__setattr__` and `__delattr__` methods in native classes. Note that native attributes are not stored using `__dict__`. Setting attributes directly while bypassing `__setattr__` is possible by using `super().__setattr__(...)` or `object.__setattr__(...)`, but not via `__dict__`. Example: ```python class Demo: _data: dict[str, str] def __init__(self) -> None: # Initialize data dict without calling our __setattr__ super().__setattr__("_data", {}) def __setattr__(self, name: str, value: str) -> None: print(f"Setting {name} = {value!r}") if name == "_data": raise AttributeError("'_data' cannot be set") self._data[name] = value def __getattr__(self, name: str) -> str: print(f"Getting {name}") try: return self._data[name] except KeyError: raise AttributeError(name) d = Demo() d.x = "hello" d.y = "world" print(d.x) print(d.y) ``` Related PRs: - Generate `__setattr__` wrapper (Piotr Sawicki, PR [19937](https://github.com/python/mypy/pull/19937)) - Generate `__getattr__` wrapper (Piotr Sawicki, PR [19909](https://github.com/python/mypy/pull/19909)) - Support deleting attributes in `__setattr__` wrapper (Piotr Sawicki, PR [19997](https://github.com/python/mypy/pull/19997)) ### Miscellaneous Mypyc Improvements - Fix `__new__` in native classes with inheritance (Piotr Sawicki, PR [20302](https://github.com/python/mypy/pull/20302)) - Fix crash on `super` in generator (Ivan Levkivskyi, PR [20291](https://github.com/python/mypy/pull/20291)) - Fix calling base class async method using `super()` (Jukka Lehtosalo, PR [20254](https://github.com/python/mypy/pull/20254)) - Fix async or generator methods in traits (Jukka Lehtosalo, PR [20246](https://github.com/python/mypy/pull/20246)) - Optimize equality check with string literals (BobTheBuidler, PR [19883](https://github.com/python/mypy/pull/19883)) - Fix inheritance of async defs (Jukka Lehtosalo, PR [20044](https://github.com/python/mypy/pull/20044)) - Reject invalid `mypyc_attr` args (BobTheBuidler, PR [19963](https://github.com/python/mypy/pull/19963)) - Optimize `isinstance` with tuple of primitive types (BobTheBuidler, PR [19949](https://github.com/python/mypy/pull/19949)) - Optimize away first index check in for loops if length > 1 (BobTheBuidler, PR [19933](https://github.com/python/mypy/pull/19933)) - Fix broken exception/cancellation handling in async def (Jukka Lehtosalo, PR [19951](https://github.com/python/mypy/pull/19951)) - Transform `object.__new__` inside `__new__` (Piotr Sawicki, PR [19866](https://github.com/python/mypy/pull/19866)) - Fix crash with NewType and other non-class types in incremental builds (Jukka Lehtosalo, PR [19837](https://github.com/python/mypy/pull/19837)) - Optimize container creation from expressions with length known at compile time (BobTheBuidler, PR [19503](https://github.com/python/mypy/pull/19503)) - Allow per-class free list to be used with inheritance (Jukka Lehtosalo, PR [19790](https://github.com/python/mypy/pull/19790)) - Fix object finalization (Marc Mueller, PR [19749](https://github.com/python/mypy/pull/19749)) - Allow defining a single-item free "list" for a native class (Jukka Lehtosalo, PR [19785](https://github.com/python/mypy/pull/19785)) - Speed up unary "not" (Jukka Lehtosalo, PR [19774](https://github.com/python/mypy/pull/19774)) ### Stubtest Improvements - Check `_value_` for ellipsis-valued stub enum members (Stanislav Terliakov, PR [19760](https://github.com/python/mypy/pull/19760)) - Include function name in overload assertion messages (Joren Hammudoglu, PR [20063](https://github.com/python/mypy/pull/20063)) - Fix special case in analyzing function signature (iap, PR [19822](https://github.com/python/mypy/pull/19822)) - Improve `allowlist` docs with better example (sobolevn, PR [20007](https://github.com/python/mypy/pull/20007)) ### Documentation Updates - Update duck type compatibility: mention strict-bytes and mypy 2.0 (wyattscarpenter, PR [20121](https://github.com/python/mypy/pull/20121)) - Document `--enable-incomplete-feature TypeForm` (wyattscarpenter, PR [20173](https://github.com/python/mypy/pull/20173)) - Change the inline TypedDict example (wyattscarpenter, PR [20172](https://github.com/python/mypy/pull/20172)) - Replace `List` with built‑in `list` (PEP 585) (Thiago J. Barbalho, PR [20000](https://github.com/python/mypy/pull/20000)) - Improve junit documentation (wyattscarpenter, PR [19867](https://github.com/python/mypy/pull/19867)) ### Other Notable Fixes and Improvements - Fix annotated with function as type keyword list parameter (KarelKenens, PR [20094](https://github.com/python/mypy/pull/20094)) - Fix errors for raise NotImplemented (Shantanu, PR [20168](https://github.com/python/mypy/pull/20168)) - Don't let help formatter line-wrap URLs (Frank Dana, PR [19825](https://github.com/python/mypy/pull/19825)) - Do not cache fast container types inside lambdas (Stanislav Terliakov, PR [20166](https://github.com/python/mypy/pull/20166)) - Respect force-union-syntax flag in error hint (Marc Mueller, PR [20165](https://github.com/python/mypy/pull/20165)) - Fix type checking of dict type aliases (Shantanu, PR [20170](https://github.com/python/mypy/pull/20170)) - Use pretty callable formatting more often for callable expressions (Theodore Ando, PR [20128](https://github.com/python/mypy/pull/20128)) - Use dummy concrete type instead of `Any` when checking protocol variance (bzoracler, PR [20110](https://github.com/python/mypy/pull/20110)) - PEP 696: Fix swapping TypeVars with defaults (Randolf Scholz, PR [19449](https://github.com/python/mypy/pull/19449)) - Fix narrowing of class pattern with union type (Randolf Scholz, PR [19517](https://github.com/python/mypy/pull/19517)) - Do not emit unreachable warnings for lines that return `NotImplemented` (Christoph Tyralla, PR [20083](https://github.com/python/mypy/pull/20083)) - Fix matching against `typing.Callable` and `Protocol` types (Randolf Scholz, PR [19471](https://github.com/python/mypy/pull/19471)) - Make `--pretty` work better on multi-line issues (A5rocks, PR [20056](https://github.com/python/mypy/pull/20056)) - More precise return types for `TypedDict.get` (Randolf Scholz, PR [19897](https://github.com/python/mypy/pull/19897)) - Prevent false unreachable warnings for `@final` instances that occur when strict optional checking is disabled (Christoph Tyralla, PR [20045](https://github.com/python/mypy/pull/20045)) - Check class references to catch non-existent classes in match cases (A5rocks, PR [20042](https://github.com/python/mypy/pull/20042)) - Do not sort unused error codes in unused error codes warning (wyattscarpenter, PR [20036](https://github.com/python/mypy/pull/20036)) - Fix `[name-defined]` false positive in `class A[X, Y=X]:` case (sobolevn, PR [20021](https://github.com/python/mypy/pull/20021)) - Filter SyntaxWarnings during AST parsing (Marc Mueller, PR [20023](https://github.com/python/mypy/pull/20023)) - Make untyped decorator its own error code (wyattscarpenter, PR [19911](https://github.com/python/mypy/pull/19911)) - Support error codes from plugins in options (Sigve Sebastian Farstad, PR [19719](https://github.com/python/mypy/pull/19719)) - Allow returning Literals in `__new__` (James Hilton-Balfe, PR [15687](https://github.com/python/mypy/pull/15687)) - Inverse interface freshness logic (Ivan Levkivskyi, PR [19809](https://github.com/python/mypy/pull/19809)) - Do not report exhaustive-match after deferral (Stanislav Terliakov, PR [19804](https://github.com/python/mypy/pull/19804)) - Make `untyped_calls_exclude` invalidate cache (Ivan Levkivskyi, PR [19801](https://github.com/python/mypy/pull/19801)) - Add await to empty context hack (Stanislav Terliakov, PR [19777](https://github.com/python/mypy/pull/19777)) - Consider non-empty enums assignable to Self (Stanislav Terliakov, PR [19779](https://github.com/python/mypy/pull/19779)) ### Typeshed updates Please see [git log](https://github.com/python/typeshed/commits/main?after=ebce8d766b41fbf4d83cf47c1297563a9508ff60+0&branch=main&path=stdlib) for full list of standard library typeshed stub changes. ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - A5rocks - BobTheBuidler - bzoracler - Chainfire - Christoph Tyralla - David Foster - Frank Dana - Guo Ci - iap - Ivan Levkivskyi - James Hilton-Balfe - jhance - Joren Hammudoglu - Jukka Lehtosalo - KarelKenens - Kevin Kannammalil - Marc Mueller - Michael Carlstrom - Michael J. Sullivan - Piotr Sawicki - Randolf Scholz - Shantanu - Sigve Sebastian Farstad - sobolevn - Stanislav Terliakov - Stephen Morton - Theodore Ando - Thiago J. Barbalho - wyattscarpenter I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.18.1 We’ve just uploaded mypy 1.18.1 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Mypy Performance Improvements Mypy 1.18.1 includes numerous performance improvements, resulting in about 40% speedup compared to 1.17 when type checking mypy itself. In extreme cases, the improvement can be 10x or higher. The list below is an overview of the various mypy optimizations. Many mypyc improvements (discussed in a separate section below) also improve performance. Type caching optimizations have a small risk of causing regressions. When reporting issues with unexpected inferred types, please also check if `--disable-expression-cache` will work around the issue, as it turns off some of these optimizations. - Improve self check performance by 1.8% (Jukka Lehtosalo, PR [19768](https://github.com/python/mypy/pull/19768), [19769](https://github.com/python/mypy/pull/19769), [19770](https://github.com/python/mypy/pull/19770)) - Optimize fixed-format deserialization (Ivan Levkivskyi, PR [19765](https://github.com/python/mypy/pull/19765)) - Use macros to optimize fixed-format deserialization (Ivan Levkivskyi, PR [19757](https://github.com/python/mypy/pull/19757)) - Two additional micro‑optimizations (Ivan Levkivskyi, PR [19627](https://github.com/python/mypy/pull/19627)) - Another set of micro‑optimizations (Ivan Levkivskyi, PR [19633](https://github.com/python/mypy/pull/19633)) - Cache common types (Ivan Levkivskyi, PR [19621](https://github.com/python/mypy/pull/19621)) - Skip more method bodies in third‑party libraries for speed (Ivan Levkivskyi, PR [19586](https://github.com/python/mypy/pull/19586)) - Simplify the representation of callable types (Ivan Levkivskyi, PR [19580](https://github.com/python/mypy/pull/19580)) - Add cache for types of some expressions (Ivan Levkivskyi, PR [19505](https://github.com/python/mypy/pull/19505)) - Use cache for dictionary expressions (Ivan Levkivskyi, PR [19536](https://github.com/python/mypy/pull/19536)) - Use cache for binary operations (Ivan Levkivskyi, PR [19523](https://github.com/python/mypy/pull/19523)) - Cache types of type objects (Ivan Levkivskyi, PR [19514](https://github.com/python/mypy/pull/19514)) - Avoid duplicate work when checking boolean operations (Ivan Levkivskyi, PR [19515](https://github.com/python/mypy/pull/19515)) - Optimize generic inference passes (Ivan Levkivskyi, PR [19501](https://github.com/python/mypy/pull/19501)) - Speed up the default plugin (Jukka Lehtosalo, PRs [19385](https://github.com/python/mypy/pull/19385) and [19462](https://github.com/python/mypy/pull/19462)) - Remove nested imports from the default plugin (Ivan Levkivskyi, PR [19388](https://github.com/python/mypy/pull/19388)) - Micro‑optimize type expansion (Jukka Lehtosalo, PR [19461](https://github.com/python/mypy/pull/19461)) - Micro‑optimize type indirection (Jukka Lehtosalo, PR [19460](https://github.com/python/mypy/pull/19460)) - Micro‑optimize the plugin framework (Jukka Lehtosalo, PR [19464](https://github.com/python/mypy/pull/19464)) - Avoid temporary set creation in subtype checking (Jukka Lehtosalo, PR [19463](https://github.com/python/mypy/pull/19463)) - Subtype checking micro‑optimization (Jukka Lehtosalo, PR [19384](https://github.com/python/mypy/pull/19384)) - Return early where possible in subtype check (Stanislav Terliakov, PR [19400](https://github.com/python/mypy/pull/19400)) - Deduplicate some types before joining (Stanislav Terliakov, PR [19409](https://github.com/python/mypy/pull/19409)) - Speed up type checking by caching argument inference context (Jukka Lehtosalo, PR [19323](https://github.com/python/mypy/pull/19323)) - Optimize binding method self argument type and deprecation checks (Ivan Levkivskyi, PR [19556](https://github.com/python/mypy/pull/19556)) - Keep trivial instance types/aliases during expansion (Ivan Levkivskyi, PR [19543](https://github.com/python/mypy/pull/19543)) ### Fixed‑Format Cache (Experimental) Mypy now supports a new cache format used for faster incremental builds. It makes incremental builds up to twice as fast. The feature is experimental and currently only supported when using a compiled version of mypy. Use `--fixed-format-cache` to enable the new format, or `fixed_format_cache = True` in a configuration file. We plan to enable this by default in a future mypy release, and we'll eventually deprecate and remove support for the original JSON-based format. Unlike the JSON-based cache format, the new binary format is currently not easy to parse and inspect by mypy users. We are planning to provide a tool to convert fixed-format cache files to JSON, but details of the output JSON may be different from the current JSON format. If you rely on being able to inspect mypy cache files, we recommend creating a GitHub issue and explaining your use case, so that we can more likely provide support for it. (Using `MypyFile.read(binary_data)` to inspect cache data may be sufficient to support some use cases.) This feature was contributed by Ivan Levkivskyi (PR [19668](https://github.com/python/mypy/pull/19668), [19735](https://github.com/python/mypy/pull/19735), [19750](https://github.com/python/mypy/pull/19750), [19681](https://github.com/python/mypy/pull/19681), [19752](https://github.com/python/mypy/pull/19752), [19815](https://github.com/python/mypy/pull/19815)). ### Flexible Variable Definitions: Update Mypy 1.16.0 introduced `--allow-redefinition-new`, which allows redefining variables with different types, and inferring union types for variables from multiple assignments. The feature is now documented in the `--help` output, but the feature is still experimental. We are planning to enable this by default in mypy 2.0, and we will also deprecate the older `--allow-redefinition` flag. Since the new behavior differs significantly from the older flag, we encourage users of `--allow-redefinition` to experiment with `--allow-redefinition-new` and create a GitHub issue if the new functionality doesn't support some important use cases. This feature was contributed by Jukka Lehtosalo. ### Inferred Type for Bare ClassVar A ClassVar without an explicit type annotation now causes the type of the variable to be inferred from the initializer: ```python from typing import ClassVar class Item: # Type of 'next_id' is now 'int' (it was 'Any') next_id: ClassVar = 1 ... ``` This feature was contributed by Ivan Levkivskyi (PR [19573](https://github.com/python/mypy/pull/19573)). ### Disjoint Base Classes (@disjoint_base, PEP 800) Mypy now understands disjoint bases (PEP 800): it recognizes the `@disjoint_base` decorator, and rejects class definitions that combine mutually incompatible base classes, and takes advantage of the fact that such classes cannot exist in reachability and narrowing logic. This class definition will now generate an error: ```python # Error: Class "Bad" has incompatible disjoint bases class Bad(str, Exception): ... ``` This feature was contributed by Jelle Zijlstra (PR [19678](https://github.com/python/mypy/pull/19678)). ### Miscellaneous New Mypy Features - Add `--strict-equality-for-none` to flag non-overlapping comparisons involving None (Christoph Tyralla, PR [19718](https://github.com/python/mypy/pull/19718)) - Don’t show import‑related errors after a module‑level assert such as `assert sys.platform == "linux"` that is always false (Stanislav Terliakov, PR [19347](https://github.com/python/mypy/pull/19347)) ### Improvements to Match Statements - Add temporary named expressions for match subjects (Stanislav Terliakov, PR [18446](https://github.com/python/mypy/pull/18446)) - Fix unwrapping of assignment expressions in match subject (Marc Mueller, PR [19742](https://github.com/python/mypy/pull/19742)) - Omit errors for class patterns against object (Marc Mueller, PR [19709](https://github.com/python/mypy/pull/19709)) - Remove unnecessary error for certain match class patterns (Marc Mueller, PR [19708](https://github.com/python/mypy/pull/19708)) - Use union type for captured vars in or pattern (Marc Mueller, PR [19710](https://github.com/python/mypy/pull/19710)) - Prevent final reassignment inside match case (Omer Hadari, PR [19496](https://github.com/python/mypy/pull/19496)) ### Fixes to Crashes - Fix crash with variadic tuple arguments to a generic type (Randolf Scholz, PR [19705](https://github.com/python/mypy/pull/19705)) - Fix crash when enable_error_code in pyproject.toml has wrong type (wyattscarpenter, PR [19494](https://github.com/python/mypy/pull/19494)) - Prevent crash for dataclass with PEP 695 TypeVarTuple on Python 3.13+ (Stanislav Terliakov, PR [19565](https://github.com/python/mypy/pull/19565)) - Fix crash on settable property alias (Ivan Levkivskyi, PR [19615](https://github.com/python/mypy/pull/19615)) ### Experimental Free-threading Support for Mypyc All mypyc tests now pass on free-threading Python 3.14 release candidate builds. The performance of various micro-benchmarks scale well across multiple threads. Free-threading support is still experimental. Note that native attribute access (get and set), list item access and certain other operations are still unsafe when there are race conditions. This will likely change in the future. You can follow the [area-free-threading label](https://github.com/mypyc/mypyc/issues?q=is%3Aissue%20state%3Aopen%20label%3Aarea-free-threading) in the mypyc issues tracker to follow progress. Related PRs: - Enable free‑threading when compiling multiple modules (Jukka Lehtosalo, PR [19541](https://github.com/python/mypy/pull/19541)) - Fix `list.pop` on free‑threaded builds (Jukka Lehtosalo, PR [19522](https://github.com/python/mypy/pull/19522)) - Make type objects immortal under free‑threading (Jukka Lehtosalo, PR [19538](https://github.com/python/mypy/pull/19538)) ### Mypyc: Support `__new__` Mypyc now has rudimentary support for user-defined `__new__` methods. This feature was contributed by Piotr Sawicki (PR [19739](https://github.com/python/mypy/pull/19739)). ### Mypyc: Faster Generators and Async Functions Generators and calls of async functions are now faster, sometimes by 2x or more. Related PRs: - Speed up for loops over native generators (Jukka Lehtosalo, PR [19415](https://github.com/python/mypy/pull/19415)) - Speed up native‑to‑native calls using await (Jukka Lehtosalo, PR [19398](https://github.com/python/mypy/pull/19398)) - Call generator helper directly in await expressions (Jukka Lehtosalo, PR [19376](https://github.com/python/mypy/pull/19376)) - Speed up generator allocation with per‑type freelists (Jukka Lehtosalo, PR [19316](https://github.com/python/mypy/pull/19316)) ### Miscellaneous Mypyc Improvements - Special‑case certain Enum method calls for speed (Ivan Levkivskyi, PR [19634](https://github.com/python/mypy/pull/19634)) - Fix issues related to subclassing and undefined attribute tracking (Chainfire, PR [19787](https://github.com/python/mypy/pull/19787)) - Fix invalid C function signature (Jukka Lehtosalo, PR [19773](https://github.com/python/mypy/pull/19773)) - Speed up implicit `__ne__` (Jukka Lehtosalo, PR [19759](https://github.com/python/mypy/pull/19759)) - Speed up equality with optional str/bytes types (Jukka Lehtosalo, PR [19758](https://github.com/python/mypy/pull/19758)) - Speed up access to empty tuples (BobTheBuidler, PR [19654](https://github.com/python/mypy/pull/19654)) - Speed up calls with `*args` (BobTheBuidler, PRs [19623](https://github.com/python/mypy/pull/19623) and [19631](https://github.com/python/mypy/pull/19631)) - Speed up calls with `**kwargs` (BobTheBuidler, PR [19630](https://github.com/python/mypy/pull/19630)) - Optimize `type(x)`, `x.__class__`, and `.__name__` (Jukka Lehtosalo, PR [19691](https://github.com/python/mypy/pull/19691), [19683](https://github.com/python/mypy/pull/19683)) - Specialize `bytes.decode` for common encodings (Jukka Lehtosalo, PR [19688](https://github.com/python/mypy/pull/19688)) - Speed up `in` operations using final fixed‑length tuples (Jukka Lehtosalo, PR [19682](https://github.com/python/mypy/pull/19682)) - Optimize f‑string building from final values (BobTheBuidler, PR [19611](https://github.com/python/mypy/pull/19611)) - Add dictionary set item for exact dict instances (BobTheBuidler, PR [19657](https://github.com/python/mypy/pull/19657)) - Cache length when iterating over immutable types (BobTheBuidler, PR [19656](https://github.com/python/mypy/pull/19656)) - Fix name conflict related to attributes of generator classes (Piotr Sawicki, PR [19535](https://github.com/python/mypy/pull/19535)) - Fix segfault from heap type objects with a static docstring (Brian Schubert, PR [19636](https://github.com/python/mypy/pull/19636)) - Unwrap NewType to its base type for additional optimizations (BobTheBuidler, PR [19497](https://github.com/python/mypy/pull/19497)) - Generate an export table only for separate compilation (Jukka Lehtosalo, PR [19521](https://github.com/python/mypy/pull/19521)) - Speed up `isinstance` with built‑in types (Piotr Sawicki, PR [19435](https://github.com/python/mypy/pull/19435)) - Use native integers for some sequence indexing (Jukka Lehtosalo, PR [19426](https://github.com/python/mypy/pull/19426)) - Speed up `isinstance(obj, list)` (Piotr Sawicki, PR [19416](https://github.com/python/mypy/pull/19416)) - Report error on reserved method names (Piotr Sawicki, PR [19407](https://github.com/python/mypy/pull/19407)) - Speed up string equality (Jukka Lehtosalo, PR [19402](https://github.com/python/mypy/pull/19402)) - Raise `NameError` on undefined names (Piotr Sawicki, PR [19395](https://github.com/python/mypy/pull/19395)) - Use per‑type freelists for nested functions (Jukka Lehtosalo, PR [19390](https://github.com/python/mypy/pull/19390)) - Simplify comparison of tuple elements (Piotr Sawicki, PR [19396](https://github.com/python/mypy/pull/19396)) - Generate introspection signatures for compiled functions (Brian Schubert, PR [19307](https://github.com/python/mypy/pull/19307)) - Fix undefined attribute checking special case (Jukka Lehtosalo, PR [19378](https://github.com/python/mypy/pull/19378)) - Fix comparison of tuples with different lengths (Piotr Sawicki, PR [19372](https://github.com/python/mypy/pull/19372)) - Speed up `list.clear` (Jahongir Qurbonov, PR [19344](https://github.com/python/mypy/pull/19344)) - Speed up `weakref.proxy` (BobTheBuidler, PR [19217](https://github.com/python/mypy/pull/19217)) - Speed up `weakref.ref` (BobTheBuidler, PR [19099](https://github.com/python/mypy/pull/19099)) - Speed up `str.count` (BobTheBuidler, PR [19264](https://github.com/python/mypy/pull/19264)) ### Stubtest Improvements - Add temporary `--ignore-disjoint-bases` flag to ease PEP 800 migration (Joren Hammudoglu, PR [19740](https://github.com/python/mypy/pull/19740)) - Flag redundant uses of `@disjoint_base` (Jelle Zijlstra, PR [19715](https://github.com/python/mypy/pull/19715)) - Improve signatures for `__init__` of C extension classes (Stephen Morton, PR [18259](https://github.com/python/mypy/pull/18259)) - Handle overloads with mixed positional‑only parameters (Stephen Morton, PR [18287](https://github.com/python/mypy/pull/18287)) - Use “parameter” (not “argument”) in error messages (PrinceNaroliya, PR [19707](https://github.com/python/mypy/pull/19707)) - Don’t require `@disjoint_base` when `__slots__` imply finality (Jelle Zijlstra, PR [19701](https://github.com/python/mypy/pull/19701)) - Allow runtime‑existing aliases of `@type_check_only` types (Brian Schubert, PR [19568](https://github.com/python/mypy/pull/19568)) - More detailed checking of type objects in stubtest (Stephen Morton, PR [18251](https://github.com/python/mypy/pull/18251)) - Support running stubtest in non-UTF8 terminals (Stanislav Terliakov, PR [19085](https://github.com/python/mypy/pull/19085)) ### Documentation Updates - Add idlemypyextension to IDE integrations (CoolCat467, PR [18615](https://github.com/python/mypy/pull/18615)) - Document that `object` is often preferable to `Any` in APIs (wyattscarpenter, PR [19103](https://github.com/python/mypy/pull/19103)) - Include a detailed listing of flags enabled by `--strict` (wyattscarpenter, PR [19062](https://github.com/python/mypy/pull/19062)) - Update “common issues” (reveal_type/reveal_locals; note on orjson) (wyattscarpenter, PR [19059](https://github.com/python/mypy/pull/19059), [19058](https://github.com/python/mypy/pull/19058)) ### Other Notable Fixes and Improvements - Remove deprecated `--new-type-inference` flag (the new algorithm has long been default) (Ivan Levkivskyi, PR [19570](https://github.com/python/mypy/pull/19570)) - Use empty context as a fallback for return expressions when outer context misleads inference (Ivan Levkivskyi, PR [19767](https://github.com/python/mypy/pull/19767)) - Fix forward references in type parameters of over‑parameterized PEP 695 aliases (Brian Schubert, PR [19725](https://github.com/python/mypy/pull/19725)) - Don’t expand PEP 695 aliases when checking node fullnames (Brian Schubert, PR [19699](https://github.com/python/mypy/pull/19699)) - Don’t use outer context for 'or' expression inference when LHS is Any (Stanislav Terliakov, PR [19748](https://github.com/python/mypy/pull/19748)) - Recognize buffer protocol special methods (Brian Schubert, PR [19581](https://github.com/python/mypy/pull/19581)) - Support attribute access on enum members correctly (Stanislav Terliakov, PR [19422](https://github.com/python/mypy/pull/19422)) - Check `__slots__` assignments on self types (Stanislav Terliakov, PR [19332](https://github.com/python/mypy/pull/19332)) - Move self‑argument checks after decorator application (Stanislav Terliakov, PR [19490](https://github.com/python/mypy/pull/19490)) - Infer empty list for `__slots__` and module `__all__` (Stanislav Terliakov, PR [19348](https://github.com/python/mypy/pull/19348)) - Use normalized tuples for fallback calculation (Stanislav Terliakov, PR [19111](https://github.com/python/mypy/pull/19111)) - Preserve literals when joining similar types (Stanislav Terliakov, PR [19279](https://github.com/python/mypy/pull/19279)) - Allow adjacent conditionally‑defined overloads (Stanislav Terliakov, PR [19042](https://github.com/python/mypy/pull/19042)) - Check property decorators more strictly (Stanislav Terliakov, PR [19313](https://github.com/python/mypy/pull/19313)) - Support properties with generic setters (Ivan Levkivskyi, PR [19298](https://github.com/python/mypy/pull/19298)) - Generalize class/static method and property alias support (Ivan Levkivskyi, PR [19297](https://github.com/python/mypy/pull/19297)) - Re‑widen custom properties after narrowing (Ivan Levkivskyi, PR [19296](https://github.com/python/mypy/pull/19296)) - Avoid erasing type objects when checking runtime cover (Shantanu, PR [19320](https://github.com/python/mypy/pull/19320)) - Include tuple fallback in constraints built from tuple types (Stanislav Terliakov, PR [19100](https://github.com/python/mypy/pull/19100)) - Somewhat better isinstance support on old‑style unions (Shantanu, PR [19714](https://github.com/python/mypy/pull/19714)) - Improve promotions inside unions (Christoph Tyralla, PR [19245](https://github.com/python/mypy/pull/19245)) - Treat uninhabited types as having all attributes (Ivan Levkivskyi, PR [19300](https://github.com/python/mypy/pull/19300)) - Improve metaclass conflict checks (Robsdedude, PR [17682](https://github.com/python/mypy/pull/17682)) - Fixes to metaclass resolution algorithm (Robsdedude, PR [17713](https://github.com/python/mypy/pull/17713)) - PEP 702 @deprecated: handle “combined” overloads (Christoph Tyralla, PR [19626](https://github.com/python/mypy/pull/19626)) - PEP 702 @deprecated: include overloads in snapshot descriptions (Christoph Tyralla, PR [19613](https://github.com/python/mypy/pull/19613)) - Ignore overload implementation when checking `__OP__` / `__rOP__` compatibility (Stanislav Terliakov, PR [18502](https://github.com/python/mypy/pull/18502)) - Support `_value_` as a fallback for ellipsis Enum members (Stanislav Terliakov, PR [19352](https://github.com/python/mypy/pull/19352)) - Sort arguments in TypedDict overlap messages (Marc Mueller, PR [19666](https://github.com/python/mypy/pull/19666)) - Fix handling of implicit return in lambda (Stanislav Terliakov, PR [19642](https://github.com/python/mypy/pull/19642)) - Improve behavior of uninhabited types (Stanislav Terliakov, PR [19648](https://github.com/python/mypy/pull/19648)) - Fix overload diagnostics when `*args` and `**kwargs` both match (Shantanu, PR [19614](https://github.com/python/mypy/pull/19614)) - Further fix overload diagnostics for `*args`/`**kwargs` (Shantanu, PR [19619](https://github.com/python/mypy/pull/19619)) - Show type variable name in "Cannot infer type argument" (Brian Schubert, PR [19290](https://github.com/python/mypy/pull/19290)) - Fail gracefully on unsupported template strings (PEP 750) (Brian Schubert, PR [19700](https://github.com/python/mypy/pull/19700)) - Revert colored argparse help for Python 3.14 (Marc Mueller, PR [19721](https://github.com/python/mypy/pull/19721)) - Update stubinfo for latest typeshed (Shantanu, PR [19771](https://github.com/python/mypy/pull/19771)) - Fix dict assignment when an incompatible same‑shape TypedDict exists (Stanislav Terliakov, PR [19592](https://github.com/python/mypy/pull/19592)) - Fix constructor type for subclasses of Any (Ivan Levkivskyi, PR [19295](https://github.com/python/mypy/pull/19295)) - Fix TypeGuard/TypeIs being forgotten in some cases (Brian Schubert, PR [19325](https://github.com/python/mypy/pull/19325)) - Fix TypeIs negative narrowing for unions of generics (Brian Schubert, PR [18193](https://github.com/python/mypy/pull/18193)) - dmypy suggest: Fix incorrect signature suggestion when a type matches a module name (Brian Schubert, PR [18937](https://github.com/python/mypy/pull/18937)) - dmypy suggest: Fix interaction with `__new__` (Stanislav Terliakov, PR [18966](https://github.com/python/mypy/pull/18966)) - dmypy suggest: Support Callable / callable Protocols in decorator unwrapping (Anthony Sottile, PR [19072](https://github.com/python/mypy/pull/19072)) - Fix missing error when redeclaring a type variable in a nested generic class (Brian Schubert, PR [18883](https://github.com/python/mypy/pull/18883)) - Fix for overloaded type object erasure (Shantanu, PR [19338](https://github.com/python/mypy/pull/19338)) - Fix TypeGuard with call on temporary object (Saul Shanabrook, PR [19577](https://github.com/python/mypy/pull/19577)) ### Typeshed Updates Please see [git log](https://github.com/python/typeshed/commits/main?after=2480d7e7c74493a024eaf254c5d2c6f452c80ee2+0&branch=main&path=stdlib) for full list of standard library typeshed stub changes. ### Mypy 1.18.2 - Fix crash on recursive alias (Ivan Levkivskyi, PR [19845](https://github.com/python/mypy/pull/19845)) - Add additional guidance for stubtest errors when runtime is `object.__init__` (Stephen Morton, PR [19733](https://github.com/python/mypy/pull/19733)) - Fix handling of None values in f-string expressions in mypyc (BobTheBuidler, PR [19846](https://github.com/python/mypy/pull/19846)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - Ali Hamdan - Anthony Sottile - BobTheBuidler - Brian Schubert - Chainfire - Charlie Denton - Christoph Tyralla - CoolCat467 - Daniel Hnyk - Emily - Emma Smith - Ethan Sarp - Ivan Levkivskyi - Jahongir Qurbonov - Jelle Zijlstra - Joren Hammudoglu - Jukka Lehtosalo - Marc Mueller - Omer Hadari - Piotr Sawicki - PrinceNaroliya - Randolf Scholz - Robsdedude - Saul Shanabrook - Shantanu - Stanislav Terliakov - Stephen Morton - wyattscarpenter I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.17 We’ve just uploaded mypy 1.17 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Optionally Check That Match Is Exhaustive Mypy can now optionally generate an error if a match statement does not match exhaustively, without having to use `assert_never(...)`. Enable this by using `--enable-error-code exhaustive-match`. Example: ```python # mypy: enable-error-code=exhaustive-match import enum class Color(enum.Enum): RED = 1 BLUE = 2 def show_color(val: Color) -> None: # error: Unhandled case for values of type "Literal[Color.BLUE]" match val: case Color.RED: print("red") ``` This feature was contributed by Donal Burns (PR [19144](https://github.com/python/mypy/pull/19144)). ### Further Improvements to Attribute Resolution This release includes additional improvements to how attribute types and kinds are resolved. These fix many bugs and overall improve consistency. * Handle corner case: protocol/class variable/descriptor (Ivan Levkivskyi, PR [19277](https://github.com/python/mypy/pull/19277)) * Fix a few inconsistencies in protocol/type object interactions (Ivan Levkivskyi, PR [19267](https://github.com/python/mypy/pull/19267)) * Refactor/unify access to static attributes (Ivan Levkivskyi, PR [19254](https://github.com/python/mypy/pull/19254)) * Remove inconsistencies in operator handling (Ivan Levkivskyi, PR [19250](https://github.com/python/mypy/pull/19250)) * Make protocol subtyping more consistent (Ivan Levkivskyi, PR [18943](https://github.com/python/mypy/pull/18943)) ### Fixes to Nondeterministic Type Checking Previous mypy versions could infer different types for certain expressions across different runs (typically depending on which order certain types were processed, and this order was nondeterministic). This release includes fixes to several such issues. * Fix nondeterministic type checking by making join with explicit Protocol and type promotion commute (Shantanu, PR [18402](https://github.com/python/mypy/pull/18402)) * Fix nondeterministic type checking caused by nonassociative of None joins (Shantanu, PR [19158](https://github.com/python/mypy/pull/19158)) * Fix nondeterministic type checking caused by nonassociativity of joins (Shantanu, PR [19147](https://github.com/python/mypy/pull/19147)) * Fix nondeterministic type checking by making join between `type` and TypeVar commute (Shantanu, PR [19149](https://github.com/python/mypy/pull/19149)) ### Remove Support for Targeting Python 3.8 Mypy now requires `--python-version 3.9` or greater. Support for targeting Python 3.8 is fully removed now. Since 3.8 is an unsupported version, mypy will default to the oldest supported version (currently 3.9) if you still try to target 3.8. This change is necessary because typeshed stopped supporting Python 3.8 after it reached its End of Life in October 2024. Contributed by Marc Mueller (PR [19157](https://github.com/python/mypy/pull/19157), PR [19162](https://github.com/python/mypy/pull/19162)). ### Initial Support for Python 3.14 Mypy is now tested on 3.14 and mypyc works with 3.14.0b3 and later. Binary wheels compiled with mypyc for mypy itself will be available for 3.14 some time after 3.14.0rc1 has been released. Note that not all features are supported just yet. Contributed by Marc Mueller (PR [19164](https://github.com/python/mypy/pull/19164)) ### Deprecated Flag: `--force-uppercase-builtins` Mypy only supports Python 3.9+. The `--force-uppercase-builtins` flag is now deprecated as unnecessary, and a no-op. It will be removed in a future version. Contributed by Marc Mueller (PR [19176](https://github.com/python/mypy/pull/19176)) ### Mypyc: Improvements to Generators and Async Functions This release includes both performance improvements and bug fixes related to generators and async functions (these share many implementation details). * Fix exception swallowing in async try/finally blocks with await (Chainfire, PR [19353](https://github.com/python/mypy/pull/19353)) * Fix AttributeError in async try/finally with mixed return paths (Chainfire, PR [19361](https://github.com/python/mypy/pull/19361)) * Make generated generator helper method internal (Jukka Lehtosalo, PR [19268](https://github.com/python/mypy/pull/19268)) * Free coroutine after await encounters StopIteration (Jukka Lehtosalo, PR [19231](https://github.com/python/mypy/pull/19231)) * Use non-tagged integer for generator label (Jukka Lehtosalo, PR [19218](https://github.com/python/mypy/pull/19218)) * Merge generator and environment classes in simple cases (Jukka Lehtosalo, PR [19207](https://github.com/python/mypy/pull/19207)) ### Mypyc: Partial, Unsafe Support for Free Threading Mypyc has minimal, quite memory-unsafe support for the free threaded builds of 3.14. It is also only lightly tested. Bug reports and experience reports are welcome! Here are some of the major limitations: * Free threading only works when compiling a single module at a time. * If there is concurrent access to an object while another thread is mutating the same object, it's possible to encounter segfaults and memory corruption. * There are no efficient native primitives for thread synthronization, though the regular `threading` module can be used. * Some workloads don't scale well to multiple threads for no clear reason. Related PRs: * Enable partial, unsafe support for free-threading (Jukka Lehtosalo, PR [19167](https://github.com/python/mypy/pull/19167)) * Fix incref/decref on free-threaded builds (Jukka Lehtosalo, PR [19127](https://github.com/python/mypy/pull/19127)) ### Other Mypyc Fixes and Improvements * Derive .c file name from full module name if using multi_file (Jukka Lehtosalo, PR [19278](https://github.com/python/mypy/pull/19278)) * Support overriding the group name used in output files (Jukka Lehtosalo, PR [19272](https://github.com/python/mypy/pull/19272)) * Add note about using non-native class to subclass built-in types (Jukka Lehtosalo, PR [19236](https://github.com/python/mypy/pull/19236)) * Make some generated classes implicitly final (Jukka Lehtosalo, PR [19235](https://github.com/python/mypy/pull/19235)) * Don't simplify module prefixes if using separate compilation (Jukka Lehtosalo, PR [19206](https://github.com/python/mypy/pull/19206)) ### Stubgen Improvements * Add import for `types` in `__exit__` method signature (Alexey Makridenko, PR [19120](https://github.com/python/mypy/pull/19120)) * Add support for including class and property docstrings (Chad Dombrova, PR [17964](https://github.com/python/mypy/pull/17964)) * Don't generate `Incomplete | None = None` argument annotation (Sebastian Rittau, PR [19097](https://github.com/python/mypy/pull/19097)) * Support several more constructs in stubgen's alias printer (Stanislav Terliakov, PR [18888](https://github.com/python/mypy/pull/18888)) ### Miscellaneous Fixes and Improvements * Combine the revealed types of multiple iteration steps in a more robust manner (Christoph Tyralla, PR [19324](https://github.com/python/mypy/pull/19324)) * Improve the handling of "iteration dependent" errors and notes in finally clauses (Christoph Tyralla, PR [19270](https://github.com/python/mypy/pull/19270)) * Lessen dmypy suggest path limitations for Windows machines (CoolCat467, PR [19337](https://github.com/python/mypy/pull/19337)) * Fix type ignore comments erroneously marked as unused by dmypy (Charlie Denton, PR [15043](https://github.com/python/mypy/pull/15043)) * Fix misspelled `exhaustive-match` error code (johnthagen, PR [19276](https://github.com/python/mypy/pull/19276)) * Fix missing error context for unpacking assignment involving star expression (Brian Schubert, PR [19258](https://github.com/python/mypy/pull/19258)) * Fix and simplify error de-duplication (Ivan Levkivskyi, PR [19247](https://github.com/python/mypy/pull/19247)) * Disallow `ClassVar` in type aliases (Brian Schubert, PR [19263](https://github.com/python/mypy/pull/19263)) * Add script that prints list of compiled files when compiling mypy (Jukka Lehtosalo, PR [19260](https://github.com/python/mypy/pull/19260)) * Fix help message url for "None and Optional handling" section (Guy Wilson, PR [19252](https://github.com/python/mypy/pull/19252)) * Display fully qualified name of imported base classes in errors about incompatible overrides (Mikhail Golubev, PR [19115](https://github.com/python/mypy/pull/19115)) * Avoid false `unreachable`, `redundant-expr`, and `redundant-casts` warnings in loops more robustly and efficiently, and avoid multiple `revealed type` notes for the same line (Christoph Tyralla, PR [19118](https://github.com/python/mypy/pull/19118)) * Fix type extraction from `isinstance` checks (Stanislav Terliakov, PR [19223](https://github.com/python/mypy/pull/19223)) * Erase stray type variables in `functools.partial` (Stanislav Terliakov, PR [18954](https://github.com/python/mypy/pull/18954)) * Make inferring condition value recognize the whole truth table (Stanislav Terliakov, PR [18944](https://github.com/python/mypy/pull/18944)) * Support type aliases, `NamedTuple` and `TypedDict` in constrained TypeVar defaults (Stanislav Terliakov, PR [18884](https://github.com/python/mypy/pull/18884)) * Move dataclass `kw_only` fields to the end of the signature (Stanislav Terliakov, PR [19018](https://github.com/python/mypy/pull/19018)) * Provide a better fallback value for the `python_version` option (Marc Mueller, PR [19162](https://github.com/python/mypy/pull/19162)) * Avoid spurious non-overlapping equality error with metaclass with `__eq__` (Michael J. Sullivan, PR [19220](https://github.com/python/mypy/pull/19220)) * Narrow type variable bounds (Ivan Levkivskyi, PR [19183](https://github.com/python/mypy/pull/19183)) * Add classifier for Python 3.14 (Marc Mueller, PR [19199](https://github.com/python/mypy/pull/19199)) * Capitalize syntax error messages (Charulata, PR [19114](https://github.com/python/mypy/pull/19114)) * Infer constraints eagerly if actual is Any (Ivan Levkivskyi, PR [19190](https://github.com/python/mypy/pull/19190)) * Include walrus assignments in conditional inference (Stanislav Terliakov, PR [19038](https://github.com/python/mypy/pull/19038)) * Use PEP 604 syntax when converting types to strings (Marc Mueller, PR [19179](https://github.com/python/mypy/pull/19179)) * Use more lower-case builtin types in error messages (Marc Mueller, PR [19177](https://github.com/python/mypy/pull/19177)) * Fix example to use correct method of Stack (Łukasz Kwieciński, PR [19123](https://github.com/python/mypy/pull/19123)) * Forbid `.pop` of `Readonly` `NotRequired` TypedDict items (Stanislav Terliakov, PR [19133](https://github.com/python/mypy/pull/19133)) * Emit a friendlier warning on invalid exclude regex, instead of a stacktrace (wyattscarpenter, PR [19102](https://github.com/python/mypy/pull/19102)) * Enable ANSI color codes for dmypy client in Windows (wyattscarpenter, PR [19088](https://github.com/python/mypy/pull/19088)) * Extend special case for context-based type variable inference to unions in return position (Stanislav Terliakov, PR [18976](https://github.com/python/mypy/pull/18976)) ### Mypy 1.17.1 * Retain `None` as constraints bottom if no bottoms were provided (Stanislav Terliakov, PR [19485](https://github.com/python/mypy/pull/19485)) * Fix "ignored exception in `hasattr`" in dmypy (Stanislav Terliakov, PR [19428](https://github.com/python/mypy/pull/19428)) * Prevent a crash when InitVar is redefined with a method in a subclass (Stanislav Terliakov, PR [19453](https://github.com/python/mypy/pull/19453)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: * Alexey Makridenko * Brian Schubert * Chad Dombrova * Chainfire * Charlie Denton * Charulata * Christoph Tyralla * CoolCat467 * Donal Burns * Guy Wilson * Ivan Levkivskyi * johnthagen * Jukka Lehtosalo * Łukasz Kwieciński * Marc Mueller * Michael J. Sullivan * Mikhail Golubev * Sebastian Rittau * Shantanu * Stanislav Terliakov * wyattscarpenter I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.16 We’ve just uploaded mypy 1.16 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Different Property Getter and Setter Types Mypy now supports using different types for a property getter and setter: ```python class A: _value: int @property def foo(self) -> int: return self._value @foo.setter def foo(self, x: str | int) -> None: try: self._value = int(x) except ValueError: raise Exception(f"'{x}' is not a valid value for 'foo'") ``` This was contributed by Ivan Levkivskyi (PR [18510](https://github.com/python/mypy/pull/18510)). ### Flexible Variable Redefinitions (Experimental) Mypy now allows unannotated variables to be freely redefined with different types when using the experimental `--allow-redefinition-new` flag. You will also need to enable `--local-partial-types`. Mypy will now infer a union type when different types are assigned to a variable: ```py # mypy: allow-redefinition-new, local-partial-types def f(n: int, b: bool) -> int | str: if b: x = n else: x = str(n) # Type of 'x' is int | str here. return x ``` Without the new flag, mypy only supports inferring optional types (`X | None`) from multiple assignments, but now mypy can infer arbitrary union types. An unannotated variable can now also have different types in different code locations: ```py # mypy: allow-redefinition-new, local-partial-types ... if cond(): for x in range(n): # Type of 'x' is 'int' here ... else: for x in ['a', 'b']: # Type of 'x' is 'str' here ... ``` We are planning to turn this flag on by default in mypy 2.0, along with `--local-partial-types`. The feature is still experimental and has known issues, and the semantics may still change in the future. You may need to update or add type annotations when switching to the new behavior, but if you encounter anything unexpected, please create a GitHub issue. This was contributed by Jukka Lehtosalo (PR [18727](https://github.com/python/mypy/pull/18727), PR [19153](https://github.com/python/mypy/pull/19153)). ### Stricter Type Checking with Imprecise Types Mypy can now detect additional errors in code that uses `Any` types or has missing function annotations. When calling `dict.get(x, None)` on an object of type `dict[str, Any]`, this now results in an optional type (in the past it was `Any`): ```python def f(d: dict[str, Any]) -> int: # Error: Return value has type "Any | None" but expected "int" return d.get("x", None) ``` Type narrowing using assignments can result in more precise types in the presence of `Any` types: ```python def foo(): ... def bar(n: int) -> None: x = foo() # Type of 'x' is 'Any' here if n > 5: x = str(n) # Type of 'x' is 'str' here ``` When using `--check-untyped-defs`, unannotated overrides are now checked more strictly against superclass definitions. Related PRs: * Use union types instead of join in binder (Ivan Levkivskyi, PR [18538](https://github.com/python/mypy/pull/18538)) * Check superclass compatibility of untyped methods if `--check-untyped-defs` is set (Stanislav Terliakov, PR [18970](https://github.com/python/mypy/pull/18970)) ### Improvements to Attribute Resolution This release includes several fixes to inconsistent resolution of attribute, method and descriptor types. * Consolidate descriptor handling (Ivan Levkivskyi, PR [18831](https://github.com/python/mypy/pull/18831)) * Make multiple inheritance checking use common semantics (Ivan Levkivskyi, PR [18876](https://github.com/python/mypy/pull/18876)) * Make method override checking use common semantics (Ivan Levkivskyi, PR [18870](https://github.com/python/mypy/pull/18870)) * Fix descriptor overload selection (Ivan Levkivskyi, PR [18868](https://github.com/python/mypy/pull/18868)) * Handle union types when binding `self` (Ivan Levkivskyi, PR [18867](https://github.com/python/mypy/pull/18867)) * Make variable override checking use common semantics (Ivan Levkivskyi, PR [18847](https://github.com/python/mypy/pull/18847)) * Make descriptor handling behave consistently (Ivan Levkivskyi, PR [18831](https://github.com/python/mypy/pull/18831)) ### Make Implementation for Abstract Overloads Optional The implementation can now be omitted for abstract overloaded methods, even outside stubs: ```py from abc import abstractmethod from typing import overload class C: @abstractmethod @overload def foo(self, x: int) -> int: ... @abstractmethod @overload def foo(self, x: str) -> str: ... # No implementation required for "foo" ``` This was contributed by Ivan Levkivskyi (PR [18882](https://github.com/python/mypy/pull/18882)). ### Option to Exclude Everything in .gitignore You can now use `--exclude-gitignore` to exclude everything in a `.gitignore` file from the mypy build. This behaves similar to excluding the paths using `--exclude`. We might enable this by default in a future mypy release. This was contributed by Ivan Levkivskyi (PR [18696](https://github.com/python/mypy/pull/18696)). ### Selectively Disable Deprecated Warnings It's now possible to selectively disable warnings generated from [`warnings.deprecated`](https://docs.python.org/3/library/warnings.html#warnings.deprecated) using the [`--deprecated-calls-exclude`](https://mypy.readthedocs.io/en/stable/command_line.html#cmdoption-mypy-deprecated-calls-exclude) option: ```python # mypy --enable-error-code deprecated # --deprecated-calls-exclude=foo.A import foo foo.A().func() # OK, the deprecated warning is ignored ``` ```python # file foo.py from typing_extensions import deprecated class A: @deprecated("Use A.func2 instead") def func(self): pass ... ``` Contributed by Marc Mueller (PR [18641](https://github.com/python/mypy/pull/18641)) ### Annotating Native/Non-Native Classes in Mypyc You can now declare a class as a non-native class when compiling with mypyc. Unlike native classes, which are extension classes and have an immutable structure, non-native classes are normal Python classes at runtime and are fully dynamic. Example: ```python from mypy_extensions import mypyc_attr @mypyc_attr(native_class=False) class NonNativeClass: ... o = NonNativeClass() # Ok, even if attribute "foo" not declared in class body setattr(o, "foo", 1) ``` Classes are native by default in compiled modules, but classes that use certain features (such as most metaclasses) are implicitly non-native. You can also explicitly declare a class as native. In this case mypyc will generate an error if it can't compile the class as a native class, instead of falling back to a non-native class: ```python from mypy_extensions import mypyc_attr from foo import MyMeta # Error: Unsupported metaclass for a native class @mypyc_attr(native_class=True) class C(metaclass=MyMeta): ... ``` Since native classes are significantly more efficient that non-native classes, you may want to ensure that certain classes always compiled as native classes. This feature was contributed by Valentin Stanciu (PR [18802](https://github.com/python/mypy/pull/18802)). ### Mypyc Fixes and Improvements * Improve documentation of native and non-native classes (Jukka Lehtosalo, PR [19154](https://github.com/python/mypy/pull/19154)) * Fix compilation when using Python 3.13 debug build (Valentin Stanciu, PR [19045](https://github.com/python/mypy/pull/19045)) * Show the reason why a class can't be a native class (Valentin Stanciu, PR [19016](https://github.com/python/mypy/pull/19016)) * Support await/yield while temporary values are live (Michael J. Sullivan, PR [16305](https://github.com/python/mypy/pull/16305)) * Fix spilling values with overlapping error values (Jukka Lehtosalo, PR [18961](https://github.com/python/mypy/pull/18961)) * Fix reference count of spilled register in async def (Jukka Lehtosalo, PR [18957](https://github.com/python/mypy/pull/18957)) * Add basic optimization for `sorted` (Marc Mueller, PR [18902](https://github.com/python/mypy/pull/18902)) * Fix access of class object in a type annotation (Advait Dixit, PR [18874](https://github.com/python/mypy/pull/18874)) * Optimize `list.__imul__` and `tuple.__mul__ `(Marc Mueller, PR [18887](https://github.com/python/mypy/pull/18887)) * Optimize `list.__add__`, `list.__iadd__` and `tuple.__add__` (Marc Mueller, PR [18845](https://github.com/python/mypy/pull/18845)) * Add and implement primitive `list.copy()` (exertustfm, PR [18771](https://github.com/python/mypy/pull/18771)) * Optimize `builtins.repr` (Marc Mueller, PR [18844](https://github.com/python/mypy/pull/18844)) * Support iterating over keys/values/items of dict-bound TypeVar and ParamSpec.kwargs (Stanislav Terliakov, PR [18789](https://github.com/python/mypy/pull/18789)) * Add efficient primitives for `str.strip()` etc. (Advait Dixit, PR [18742](https://github.com/python/mypy/pull/18742)) * Document that `strip()` etc. are optimized (Jukka Lehtosalo, PR [18793](https://github.com/python/mypy/pull/18793)) * Fix mypyc crash with enum type aliases (Valentin Stanciu, PR [18725](https://github.com/python/mypy/pull/18725)) * Optimize `str.find` and `str.rfind` (Marc Mueller, PR [18709](https://github.com/python/mypy/pull/18709)) * Optimize `str.__contains__` (Marc Mueller, PR [18705](https://github.com/python/mypy/pull/18705)) * Fix order of steal/unborrow in tuple unpacking (Ivan Levkivskyi, PR [18732](https://github.com/python/mypy/pull/18732)) * Optimize `str.partition` and `str.rpartition` (Marc Mueller, PR [18702](https://github.com/python/mypy/pull/18702)) * Optimize `str.startswith` and `str.endswith` with tuple argument (Marc Mueller, PR [18678](https://github.com/python/mypy/pull/18678)) * Improve `str.startswith` and `str.endswith` with tuple argument (Marc Mueller, PR [18703](https://github.com/python/mypy/pull/18703)) * `pythoncapi_compat`: don't define Py_NULL if it is already defined (Michael R. Crusoe, PR [18699](https://github.com/python/mypy/pull/18699)) * Optimize `str.splitlines` (Marc Mueller, PR [18677](https://github.com/python/mypy/pull/18677)) * Mark `dict.setdefault` as optimized (Marc Mueller, PR [18685](https://github.com/python/mypy/pull/18685)) * Support `__del__` methods (Advait Dixit, PR [18519](https://github.com/python/mypy/pull/18519)) * Optimize `str.rsplit` (Marc Mueller, PR [18673](https://github.com/python/mypy/pull/18673)) * Optimize `str.removeprefix` and `str.removesuffix` (Marc Mueller, PR [18672](https://github.com/python/mypy/pull/18672)) * Recognize literal types in `__match_args__` (Stanislav Terliakov, PR [18636](https://github.com/python/mypy/pull/18636)) * Fix non extension classes with attribute annotations using forward references (Valentin Stanciu, PR [18577](https://github.com/python/mypy/pull/18577)) * Use lower-case generic types such as `list[t]` in documentation (Jukka Lehtosalo, PR [18576](https://github.com/python/mypy/pull/18576)) * Improve support for `frozenset` (Marc Mueller, PR [18571](https://github.com/python/mypy/pull/18571)) * Fix wheel build for cp313-win (Marc Mueller, PR [18560](https://github.com/python/mypy/pull/18560)) * Reduce impact of immortality (introduced in Python 3.12) on reference counting performance (Jukka Lehtosalo, PR [18459](https://github.com/python/mypy/pull/18459)) * Update math error messages for 3.14 (Marc Mueller, PR [18534](https://github.com/python/mypy/pull/18534)) * Update math error messages for 3.14 (2) (Marc Mueller, PR [18949](https://github.com/python/mypy/pull/18949)) * Replace deprecated `_PyLong_new` with `PyLongWriter` API (Marc Mueller, PR [18532](https://github.com/python/mypy/pull/18532)) ### Fixes to Crashes * Traverse module ancestors when traversing reachable graph nodes during dmypy update (Stanislav Terliakov, PR [18906](https://github.com/python/mypy/pull/18906)) * Fix crash on multiple unpacks in a bare type application (Stanislav Terliakov, PR [18857](https://github.com/python/mypy/pull/18857)) * Prevent crash when enum/TypedDict call is stored as a class attribute (Stanislav Terliakov, PR [18861](https://github.com/python/mypy/pull/18861)) * Fix crash on multiple unpacks in a bare type application (Stanislav Terliakov, PR [18857](https://github.com/python/mypy/pull/18857)) * Fix crash on type inference against non-normal callables (Ivan Levkivskyi, PR [18858](https://github.com/python/mypy/pull/18858)) * Fix crash on decorated getter in settable property (Ivan Levkivskyi, PR [18787](https://github.com/python/mypy/pull/18787)) * Fix crash on callable with `*args` and suffix against Any (Ivan Levkivskyi, PR [18781](https://github.com/python/mypy/pull/18781)) * Fix crash on deferred supertype and setter override (Ivan Levkivskyi, PR [18649](https://github.com/python/mypy/pull/18649)) * Fix crashes on incorrectly detected recursive aliases (Ivan Levkivskyi, PR [18625](https://github.com/python/mypy/pull/18625)) * Report that `NamedTuple` and `dataclass` are incompatile instead of crashing (Christoph Tyralla, PR [18633](https://github.com/python/mypy/pull/18633)) * Fix mypy daemon crash (Valentin Stanciu, PR [19087](https://github.com/python/mypy/pull/19087)) ### Performance Improvements These are specific to mypy. Mypyc-related performance improvements are discussed elsewhere. * Speed up binding `self` in trivial cases (Ivan Levkivskyi, PR [19024](https://github.com/python/mypy/pull/19024)) * Small constraint solver optimization (Aaron Gokaslan, PR [18688](https://github.com/python/mypy/pull/18688)) ### Documentation Updates * Improve documentation of `--strict` (lenayoung8, PR [18903](https://github.com/python/mypy/pull/18903)) * Remove a note about `from __future__ import annotations` (Ageev Maxim, PR [18915](https://github.com/python/mypy/pull/18915)) * Improve documentation on type narrowing (Tim Hoffmann, PR [18767](https://github.com/python/mypy/pull/18767)) * Fix metaclass usage example (Georg, PR [18686](https://github.com/python/mypy/pull/18686)) * Update documentation on `extra_checks` flag (Ivan Levkivskyi, PR [18537](https://github.com/python/mypy/pull/18537)) ### Stubgen Improvements * Fix `TypeAlias` handling (Alexey Makridenko, PR [18960](https://github.com/python/mypy/pull/18960)) * Handle `arg=None` in C extension modules (Anthony Sottile, PR [18768](https://github.com/python/mypy/pull/18768)) * Fix valid type detection to allow pipe unions (Chad Dombrova, PR [18726](https://github.com/python/mypy/pull/18726)) * Include simple decorators in stub files (Marc Mueller, PR [18489](https://github.com/python/mypy/pull/18489)) * Support positional and keyword-only arguments in stubdoc (Paul Ganssle, PR [18762](https://github.com/python/mypy/pull/18762)) * Fall back to `Incomplete` if we are unable to determine the module name (Stanislav Terliakov, PR [19084](https://github.com/python/mypy/pull/19084)) ### Stubtest Improvements * Make stubtest ignore `__slotnames__` (Nick Pope, PR [19077](https://github.com/python/mypy/pull/19077)) * Fix stubtest tests on 3.14 (Jelle Zijlstra, PR [19074](https://github.com/python/mypy/pull/19074)) * Support for `strict_bytes` in stubtest (Joren Hammudoglu, PR [19002](https://github.com/python/mypy/pull/19002)) * Understand override (Shantanu, PR [18815](https://github.com/python/mypy/pull/18815)) * Better checking of runtime arguments with dunder names (Shantanu, PR [18756](https://github.com/python/mypy/pull/18756)) * Ignore setattr and delattr inherited from object (Stephen Morton, PR [18325](https://github.com/python/mypy/pull/18325)) ### Miscellaneous Fixes and Improvements * Add `--strict-bytes` to `--strict` (wyattscarpenter, PR [19049](https://github.com/python/mypy/pull/19049)) * Admit that Final variables are never redefined (Stanislav Terliakov, PR [19083](https://github.com/python/mypy/pull/19083)) * Add special support for `@django.cached_property` needed in `django-stubs` (sobolevn, PR [18959](https://github.com/python/mypy/pull/18959)) * Do not narrow types to `Never` with binder (Ivan Levkivskyi, PR [18972](https://github.com/python/mypy/pull/18972)) * Local forward references should precede global forward references (Ivan Levkivskyi, PR [19000](https://github.com/python/mypy/pull/19000)) * Do not cache module lookup results in incremental mode that may become invalid (Stanislav Terliakov, PR [19044](https://github.com/python/mypy/pull/19044)) * Only consider meta variables in ambiguous "any of" constraints (Stanislav Terliakov, PR [18986](https://github.com/python/mypy/pull/18986)) * Allow accessing `__init__` on final classes and when `__init__` is final (Stanislav Terliakov, PR [19035](https://github.com/python/mypy/pull/19035)) * Treat varargs as positional-only (A5rocks, PR [19022](https://github.com/python/mypy/pull/19022)) * Enable colored output for argparse help in Python 3.14 (Marc Mueller, PR [19021](https://github.com/python/mypy/pull/19021)) * Fix argparse for Python 3.14 (Marc Mueller, PR [19020](https://github.com/python/mypy/pull/19020)) * `dmypy suggest` can now suggest through contextmanager-based decorators (Anthony Sottile, PR [18948](https://github.com/python/mypy/pull/18948)) * Fix `__r__` being used under the same `____` hook (Arnav Jain, PR [18995](https://github.com/python/mypy/pull/18995)) * Prioritize `.pyi` from `-stubs` packages over bundled `.pyi` (Joren Hammudoglu, PR [19001](https://github.com/python/mypy/pull/19001)) * Fix missing subtype check case for `type[T]` (Stanislav Terliakov, PR [18975](https://github.com/python/mypy/pull/18975)) * Fixes to the detection of redundant casts (Anthony Sottile, PR [18588](https://github.com/python/mypy/pull/18588)) * Make some parse errors non-blocking (Shantanu, PR [18941](https://github.com/python/mypy/pull/18941)) * Fix PEP 695 type alias with a mix of type arguments (PEP 696) (Marc Mueller, PR [18919](https://github.com/python/mypy/pull/18919)) * Allow deeper recursion in mypy daemon, better error reporting (Carter Dodd, PR [17707](https://github.com/python/mypy/pull/17707)) * Fix swapped errors for frozen/non-frozen dataclass inheritance (Nazrawi Demeke, PR [18918](https://github.com/python/mypy/pull/18918)) * Fix incremental issue with namespace packages (Shantanu, PR [18907](https://github.com/python/mypy/pull/18907)) * Exclude irrelevant members when narrowing union overlapping with enum (Stanislav Terliakov, PR [18897](https://github.com/python/mypy/pull/18897)) * Flatten union before contracting literals when checking subtyping (Stanislav Terliakov, PR [18898](https://github.com/python/mypy/pull/18898)) * Do not add `kw_only` dataclass fields to `__match_args__` (sobolevn, PR [18892](https://github.com/python/mypy/pull/18892)) * Fix error message when returning long tuple with type mismatch (Thomas Mattone, PR [18881](https://github.com/python/mypy/pull/18881)) * Treat `TypedDict` (old-style) aliases as regular `TypedDict`s (Stanislav Terliakov, PR [18852](https://github.com/python/mypy/pull/18852)) * Warn about unused `type: ignore` comments when error code is disabled (Brian Schubert, PR [18849](https://github.com/python/mypy/pull/18849)) * Reject duplicate `ParamSpec.{args,kwargs}` at call site (Stanislav Terliakov, PR [18854](https://github.com/python/mypy/pull/18854)) * Make detection of enum members more consistent (sobolevn, PR [18675](https://github.com/python/mypy/pull/18675)) * Admit that `**kwargs` mapping subtypes may have no direct type parameters (Stanislav Terliakov, PR [18850](https://github.com/python/mypy/pull/18850)) * Don't suggest `types-setuptools` for `pkg_resources` (Shantanu, PR [18840](https://github.com/python/mypy/pull/18840)) * Suggest `scipy-stubs` for `scipy` as non-typeshed stub package (Joren Hammudoglu, PR [18832](https://github.com/python/mypy/pull/18832)) * Narrow tagged unions in match statements (Gene Parmesan Thomas, PR [18791](https://github.com/python/mypy/pull/18791)) * Consistently store settable property type (Ivan Levkivskyi, PR [18774](https://github.com/python/mypy/pull/18774)) * Do not blindly undefer on leaving function (Ivan Levkivskyi, PR [18674](https://github.com/python/mypy/pull/18674)) * Process superclass methods before subclass methods in semanal (Ivan Levkivskyi, PR [18723](https://github.com/python/mypy/pull/18723)) * Only defer top-level functions (Ivan Levkivskyi, PR [18718](https://github.com/python/mypy/pull/18718)) * Add one more type-checking pass (Ivan Levkivskyi, PR [18717](https://github.com/python/mypy/pull/18717)) * Properly account for `member` and `nonmember` in enums (sobolevn, PR [18559](https://github.com/python/mypy/pull/18559)) * Fix instance vs tuple subtyping edge case (Ivan Levkivskyi, PR [18664](https://github.com/python/mypy/pull/18664)) * Improve handling of Any/object in variadic generics (Ivan Levkivskyi, PR [18643](https://github.com/python/mypy/pull/18643)) * Fix handling of named tuples in class match pattern (Ivan Levkivskyi, PR [18663](https://github.com/python/mypy/pull/18663)) * Fix regression for user config files (Shantanu, PR [18656](https://github.com/python/mypy/pull/18656)) * Fix dmypy socket issue on GNU/Hurd (Mattias Ellert, PR [18630](https://github.com/python/mypy/pull/18630)) * Don't assume that for loop body index variable is always set (Jukka Lehtosalo, PR [18631](https://github.com/python/mypy/pull/18631)) * Fix overlap check for variadic generics (Ivan Levkivskyi, PR [18638](https://github.com/python/mypy/pull/18638)) * Improve support for `functools.partial` of overloaded callable protocol (Shantanu, PR [18639](https://github.com/python/mypy/pull/18639)) * Allow lambdas in `except*` clauses (Stanislav Terliakov, PR [18620](https://github.com/python/mypy/pull/18620)) * Fix trailing commas in many multiline string options in `pyproject.toml` (sobolevn, PR [18624](https://github.com/python/mypy/pull/18624)) * Allow trailing commas for `files` setting in `mypy.ini` and `setup.ini` (sobolevn, PR [18621](https://github.com/python/mypy/pull/18621)) * Fix "not callable" issue for `@dataclass(frozen=True)` with `Final` attr (sobolevn, PR [18572](https://github.com/python/mypy/pull/18572)) * Add missing TypedDict special case when checking member access (Stanislav Terliakov, PR [18604](https://github.com/python/mypy/pull/18604)) * Use lower case `list` and `dict` in invariance notes (Jukka Lehtosalo, PR [18594](https://github.com/python/mypy/pull/18594)) * Fix inference when class and instance match protocol (Ivan Levkivskyi, PR [18587](https://github.com/python/mypy/pull/18587)) * Remove support for `builtins.Any` (Marc Mueller, PR [18578](https://github.com/python/mypy/pull/18578)) * Update the overlapping check for tuples to account for NamedTuples (A5rocks, PR [18564](https://github.com/python/mypy/pull/18564)) * Fix `@deprecated` (PEP 702) with normal overloaded methods (Christoph Tyralla, PR [18477](https://github.com/python/mypy/pull/18477)) * Start propagating end columns/lines for `type-arg` errors (A5rocks, PR [18533](https://github.com/python/mypy/pull/18533)) * Improve handling of `type(x) is Foo` checks (Stanislav Terliakov, PR [18486](https://github.com/python/mypy/pull/18486)) * Suggest `typing.Literal` for exit-return error messages (Marc Mueller, PR [18541](https://github.com/python/mypy/pull/18541)) * Allow redefinitions in except/else/finally (Stanislav Terliakov, PR [18515](https://github.com/python/mypy/pull/18515)) * Disallow setting Python version using inline config (Shantanu, PR [18497](https://github.com/python/mypy/pull/18497)) * Improve type inference in tuple multiplication plugin (Shantanu, PR [18521](https://github.com/python/mypy/pull/18521)) * Add missing line number to `yield from` with wrong type (Stanislav Terliakov, PR [18518](https://github.com/python/mypy/pull/18518)) * Hint at argument names when formatting callables with compatible return types in error messages (Stanislav Terliakov, PR [18495](https://github.com/python/mypy/pull/18495)) * Add better naming and improve compatibility for ad hoc intersections of instances (Christoph Tyralla, PR [18506](https://github.com/python/mypy/pull/18506)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - A5rocks - Aaron Gokaslan - Advait Dixit - Ageev Maxim - Alexey Makridenko - Ali Hamdan - Anthony Sottile - Arnav Jain - Brian Schubert - bzoracler - Carter Dodd - Chad Dombrova - Christoph Tyralla - Dimitri Papadopoulos Orfanos - Emma Smith - exertustfm - Gene Parmesan Thomas - Georg - Ivan Levkivskyi - Jared Hance - Jelle Zijlstra - Joren Hammudoglu - lenayoung8 - Marc Mueller - Mattias Ellert - Michael J. Sullivan - Michael R. Crusoe - Nazrawi Demeke - Nick Pope - Paul Ganssle - Shantanu - sobolevn - Stanislav Terliakov - Stephen Morton - Thomas Mattone - Tim Hoffmann - Tim Ruffing - Valentin Stanciu - Wesley Collin Wright - wyattscarpenter I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.15 We’ve just uploaded mypy 1.15 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Performance Improvements Mypy is up to 40% faster in some use cases. This improvement comes largely from tuning the performance of the garbage collector. Additionally, the release includes several micro-optimizations that may be impactful for large projects. Contributed by Jukka Lehtosalo - PR [18306](https://github.com/python/mypy/pull/18306) - PR [18302](https://github.com/python/mypy/pull/18302) - PR [18298](https://github.com/python/mypy/pull/18298) - PR [18299](https://github.com/python/mypy/pull/18299) ### Mypyc Accelerated Mypy Wheels for ARM Linux For best performance, mypy can be compiled to C extension modules using mypyc. This makes mypy 3-5x faster than when interpreted with pure Python. We now build and upload mypyc accelerated mypy wheels for `manylinux_aarch64` to PyPI, making it easy for Linux users on ARM platforms to realise this speedup -- just `pip install` the latest mypy. Contributed by Christian Bundy and Marc Mueller (PR [mypy_mypyc-wheels#76](https://github.com/mypyc/mypy_mypyc-wheels/pull/76), PR [mypy_mypyc-wheels#89](https://github.com/mypyc/mypy_mypyc-wheels/pull/89)). ### `--strict-bytes` By default, mypy treats `bytearray` and `memoryview` values as assignable to the `bytes` type, for historical reasons. Use the `--strict-bytes` flag to disable this behavior. [PEP 688](https://peps.python.org/pep-0688) specified the removal of this special case. The flag will be enabled by default in **mypy 2.0**. Contributed by Ali Hamdan (PR [18263](https://github.com/python/mypy/pull/18263)) and Shantanu Jain (PR [13952](https://github.com/python/mypy/pull/13952)). ### Improvements to Reachability Analysis and Partial Type Handling in Loops This change results in mypy better modelling control flow within loops and hence detecting several previously ignored issues. In some cases, this change may require additional explicit variable annotations. Contributed by Christoph Tyralla (PR [18180](https://github.com/python/mypy/pull/18180), PR [18433](https://github.com/python/mypy/pull/18433)). (Speaking of partial types, remember that we plan to enable `--local-partial-types` by default in **mypy 2.0**.) ### Better Discovery of Configuration Files Mypy will now walk up the filesystem (up until a repository or file system root) to discover configuration files. See the [mypy configuration file documentation](https://mypy.readthedocs.io/en/stable/config_file.html) for more details. Contributed by Mikhail Shiryaev and Shantanu Jain (PR [16965](https://github.com/python/mypy/pull/16965), PR [18482](https://github.com/python/mypy/pull/18482)) ### Better Line Numbers for Decorators and Slice Expressions Mypy now uses more correct line numbers for decorators and slice expressions. In some cases, you may have to change the location of a `# type: ignore` comment. Contributed by Shantanu Jain (PR [18392](https://github.com/python/mypy/pull/18392), PR [18397](https://github.com/python/mypy/pull/18397)). ### Drop Support for Python 3.8 Mypy no longer supports running with Python 3.8, which has reached end-of-life. When running mypy with Python 3.9+, it is still possible to type check code that needs to support Python 3.8 with the `--python-version 3.8` argument. Support for this will be dropped in the first half of 2025! Contributed by Marc Mueller (PR [17492](https://github.com/python/mypy/pull/17492)). ### Mypyc Improvements * Fix `__init__` for classes with `@attr.s(slots=True)` (Advait Dixit, PR [18447](https://github.com/python/mypy/pull/18447)) * Report error for nested class instead of crashing (Valentin Stanciu, PR [18460](https://github.com/python/mypy/pull/18460)) * Fix `InitVar` for dataclasses (Advait Dixit, PR [18319](https://github.com/python/mypy/pull/18319)) * Remove unnecessary mypyc files from wheels (Marc Mueller, PR [18416](https://github.com/python/mypy/pull/18416)) * Fix issues with relative imports (Advait Dixit, PR [18286](https://github.com/python/mypy/pull/18286)) * Add faster primitive for some list get item operations (Jukka Lehtosalo, PR [18136](https://github.com/python/mypy/pull/18136)) * Fix iteration over `NamedTuple` objects (Advait Dixit, PR [18254](https://github.com/python/mypy/pull/18254)) * Mark mypyc package with `py.typed` (bzoracler, PR [18253](https://github.com/python/mypy/pull/18253)) * Fix list index while checking for `Enum` class (Advait Dixit, PR [18426](https://github.com/python/mypy/pull/18426)) ### Stubgen Improvements * Improve dataclass init signatures (Marc Mueller, PR [18430](https://github.com/python/mypy/pull/18430)) * Preserve `dataclass_transform` decorator (Marc Mueller, PR [18418](https://github.com/python/mypy/pull/18418)) * Fix `UnpackType` for 3.11+ (Marc Mueller, PR [18421](https://github.com/python/mypy/pull/18421)) * Improve `self` annotations (Marc Mueller, PR [18420](https://github.com/python/mypy/pull/18420)) * Print `InspectError` traceback in stubgen `walk_packages` when verbose is specified (Gareth, PR [18224](https://github.com/python/mypy/pull/18224)) ### Stubtest Improvements * Fix crash with numpy array default values (Ali Hamdan, PR [18353](https://github.com/python/mypy/pull/18353)) * Distinguish metaclass attributes from class attributes (Stephen Morton, PR [18314](https://github.com/python/mypy/pull/18314)) ### Fixes to Crashes * Prevent crash with `Unpack` of a fixed tuple in PEP695 type alias (Stanislav Terliakov, PR [18451](https://github.com/python/mypy/pull/18451)) * Fix crash with `--cache-fine-grained --cache-dir=/dev/null` (Shantanu, PR [18457](https://github.com/python/mypy/pull/18457)) * Prevent crashing when `match` arms use name of existing callable (Stanislav Terliakov, PR [18449](https://github.com/python/mypy/pull/18449)) * Gracefully handle encoding errors when writing to stdout (Brian Schubert, PR [18292](https://github.com/python/mypy/pull/18292)) * Prevent crash on generic NamedTuple with unresolved typevar bound (Stanislav Terliakov, PR [18585](https://github.com/python/mypy/pull/18585)) ### Documentation Updates * Add inline tabs to documentation (Marc Mueller, PR [18262](https://github.com/python/mypy/pull/18262)) * Document any `TYPE_CHECKING` name works (Shantanu, PR [18443](https://github.com/python/mypy/pull/18443)) * Update documentation to not mention 3.8 where possible (sobolevn, PR [18455](https://github.com/python/mypy/pull/18455)) * Mention `ignore_errors` in exclude documentation (Shantanu, PR [18412](https://github.com/python/mypy/pull/18412)) * Add `Self` misuse to common issues (Shantanu, PR [18261](https://github.com/python/mypy/pull/18261)) ### Other Notable Fixes and Improvements * Fix literal context for ternary expressions (Ivan Levkivskyi, PR [18545](https://github.com/python/mypy/pull/18545)) * Ignore `dataclass.__replace__` LSP violations (Marc Mueller, PR [18464](https://github.com/python/mypy/pull/18464)) * Bind `self` to the class being defined when checking multiple inheritance (Stanislav Terliakov, PR [18465](https://github.com/python/mypy/pull/18465)) * Fix attribute type resolution with multiple inheritance (Stanislav Terliakov, PR [18415](https://github.com/python/mypy/pull/18415)) * Improve security of our GitHub Actions (sobolevn, PR [18413](https://github.com/python/mypy/pull/18413)) * Unwrap `type[Union[...]]` when solving type variable constraints (Stanislav Terliakov, PR [18266](https://github.com/python/mypy/pull/18266)) * Allow `Any` to match sequence patterns in match/case (Stanislav Terliakov, PR [18448](https://github.com/python/mypy/pull/18448)) * Fix parent generics mapping when overriding generic attribute with property (Stanislav Terliakov, PR [18441](https://github.com/python/mypy/pull/18441)) * Add dedicated error code for explicit `Any` (Shantanu, PR [18398](https://github.com/python/mypy/pull/18398)) * Reject invalid `ParamSpec` locations (Stanislav Terliakov, PR [18278](https://github.com/python/mypy/pull/18278)) * Stop suggesting stubs that have been removed from typeshed (Shantanu, PR [18373](https://github.com/python/mypy/pull/18373)) * Allow inverting `--local-partial-types` (Shantanu, PR [18377](https://github.com/python/mypy/pull/18377)) * Allow to use `Final` and `ClassVar` after Python 3.13 (정승원, PR [18358](https://github.com/python/mypy/pull/18358)) * Update suggestions to include latest stubs in typeshed (Shantanu, PR [18366](https://github.com/python/mypy/pull/18366)) * Fix `--install-types` masking failure details (wyattscarpenter, PR [17485](https://github.com/python/mypy/pull/17485)) * Reject promotions when checking against protocols (Christoph Tyralla, PR [18360](https://github.com/python/mypy/pull/18360)) * Don't erase type object arguments in diagnostics (Shantanu, PR [18352](https://github.com/python/mypy/pull/18352)) * Clarify status in `dmypy status` output (Kcornw, PR [18331](https://github.com/python/mypy/pull/18331)) * Disallow no-argument generic aliases when using PEP 613 explicit aliases (Brian Schubert, PR [18173](https://github.com/python/mypy/pull/18173)) * Suppress errors for unreachable branches in conditional expressions (Brian Schubert, PR [18295](https://github.com/python/mypy/pull/18295)) * Do not allow `ClassVar` and `Final` in `TypedDict` and `NamedTuple` (sobolevn, PR [18281](https://github.com/python/mypy/pull/18281)) * Report error if not enough or too many types provided to `TypeAliasType` (bzoracler, PR [18308](https://github.com/python/mypy/pull/18308)) * Use more precise context for `TypedDict` plugin errors (Brian Schubert, PR [18293](https://github.com/python/mypy/pull/18293)) * Use more precise context for invalid type argument errors (Brian Schubert, PR [18290](https://github.com/python/mypy/pull/18290)) * Do not allow `type[]` to contain `Literal` types (sobolevn, PR [18276](https://github.com/python/mypy/pull/18276)) * Allow bytearray/bytes comparisons with `--strict-bytes` (Jukka Lehtosalo, PR [18255](https://github.com/python/mypy/pull/18255)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - Advait Dixit - Ali Hamdan - Brian Schubert - bzoracler - Cameron Matsui - Christoph Tyralla - Gareth - Ivan Levkivskyi - Jukka Lehtosalo - Kcornw - Marc Mueller - Mikhail f. Shiryaev - Shantanu - sobolevn - Stanislav Terliakov - Stephen Morton - Valentin Stanciu - Viktor Szépe - wyattscarpenter - 정승원 I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.14 We’ve just uploaded mypy 1.14 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Change to Enum Membership Semantics As per the updated [typing specification for enums](https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members), enum members must be left unannotated. ```python class Pet(Enum): CAT = 1 # Member attribute DOG = 2 # Member attribute # New error: Enum members must be left unannotated WOLF: int = 3 species: str # Considered a non-member attribute ``` In particular, the specification change can result in issues in type stubs (`.pyi` files), since historically it was common to leave the value absent: ```python # In a type stub (.pyi file) class Pet(Enum): # Change in semantics: previously considered members, # now non-member attributes CAT: int DOG: int # Mypy will now issue a warning if it detects this # situation in type stubs: # > Detected enum "Pet" in a type stub with zero # > members. There is a chance this is due to a recent # > change in the semantics of enum membership. If so, # > use `member = value` to mark an enum member, # > instead of `member: type` class Pet(Enum): # As per the specification, you should now do one of # the following: DOG = 1 # Member attribute with value 1 and known type WOLF = cast(int, ...) # Member attribute with unknown # value but known type LION = ... # Member attribute with unknown value and # # unknown type ``` Contributed by Terence Honles (PR [17207](https://github.com/python/mypy/pull/17207)) and Shantanu Jain (PR [18068](https://github.com/python/mypy/pull/18068)). ### Support for @deprecated Decorator (PEP 702) Mypy can now issue errors or notes when code imports a deprecated feature explicitly with a `from mod import depr` statement, or uses a deprecated feature imported otherwise or defined locally. Features are considered deprecated when decorated with `warnings.deprecated`, as specified in [PEP 702](https://peps.python.org/pep-0702). You can enable the error code via `--enable-error-code=deprecated` on the mypy command line or `enable_error_code = deprecated` in the mypy config file. Use the command line flag `--report-deprecated-as-note` or config file option `report_deprecated_as_note=True` to turn all such errors into notes. Deprecation errors will be enabled by default in a future mypy version. This feature was contributed by Christoph Tyralla. List of changes: * Add basic support for PEP 702 (`@deprecated`) (Christoph Tyralla, PR [17476](https://github.com/python/mypy/pull/17476)) * Support descriptors with `@deprecated` (Christoph Tyralla, PR [18090](https://github.com/python/mypy/pull/18090)) * Make "deprecated" note an error, disabled by default (Valentin Stanciu, PR [18192](https://github.com/python/mypy/pull/18192)) * Consider all possible type positions with `@deprecated` (Christoph Tyralla, PR [17926](https://github.com/python/mypy/pull/17926)) * Improve the handling of explicit type annotations in assignment statements with `@deprecated` (Christoph Tyralla, PR [17899](https://github.com/python/mypy/pull/17899)) ### Optionally Analyzing Untyped Modules Mypy normally doesn't analyze imports from third-party modules (installed using pip, for example) if there are no stubs or a py.typed marker file. To force mypy to analyze these imports, you can now use the `--follow-untyped-imports` flag or set the `follow_untyped_imports` config file option to True. This can be set either in the global section of your mypy config file, or individually on a per-module basis. This feature was contributed by Jannick Kremer. List of changes: * Implement flag to allow type checking of untyped modules (Jannick Kremer, PR [17712](https://github.com/python/mypy/pull/17712)) * Warn about `--follow-untyped-imports` (Shantanu, PR [18249](https://github.com/python/mypy/pull/18249)) ### Support New Style Type Variable Defaults (PEP 696) Mypy now supports type variable defaults using the new syntax described in PEP 696, which was introduced in Python 3.13. Example: ```python @dataclass class Box[T = int]: # Set default for "T" value: T | None = None reveal_type(Box()) # type is Box[int], since it's the default reveal_type(Box(value="Hello World!")) # type is Box[str] ``` This feature was contributed by Marc Mueller (PR [17985](https://github.com/python/mypy/pull/17985)). ### Improved For Loop Index Variable Type Narrowing Mypy now preserves the literal type of for loop index variables, to support `TypedDict` lookups. Example: ```python from typing import TypedDict class X(TypedDict): hourly: int daily: int def func(x: X) -> int: s = 0 for var in ("hourly", "daily"): # "Union[Literal['hourly']?, Literal['daily']?]" reveal_type(var) # x[var] no longer triggers a literal-required error s += x[var] return s ``` This was contributed by Marc Mueller (PR [18014](https://github.com/python/mypy/pull/18014)). ### Mypyc Improvements * Document optimized bytes operations and additional str operations (Jukka Lehtosalo, PR [18242](https://github.com/python/mypy/pull/18242)) * Add primitives and specialization for `ord()` (Jukka Lehtosalo, PR [18240](https://github.com/python/mypy/pull/18240)) * Optimize `str.encode` with specializations for common used encodings (Valentin Stanciu, PR [18232](https://github.com/python/mypy/pull/18232)) * Fix fall back to generic operation for staticmethod and classmethod (Advait Dixit, PR [18228](https://github.com/python/mypy/pull/18228)) * Support unicode surrogates in string literals (Jukka Lehtosalo, PR [18209](https://github.com/python/mypy/pull/18209)) * Fix index variable in for loop with `builtins.enumerate` (Advait Dixit, PR [18202](https://github.com/python/mypy/pull/18202)) * Fix check for enum classes (Advait Dixit, PR [18178](https://github.com/python/mypy/pull/18178)) * Fix loading type from imported modules (Advait Dixit, PR [18158](https://github.com/python/mypy/pull/18158)) * Fix initializers of final attributes in class body (Jared Hance, PR [18031](https://github.com/python/mypy/pull/18031)) * Fix name generation for modules with similar full names (aatle, PR [18001](https://github.com/python/mypy/pull/18001)) * Fix relative imports in `__init__.py` (Shantanu, PR [17979](https://github.com/python/mypy/pull/17979)) * Optimize dunder methods (jairov4, PR [17934](https://github.com/python/mypy/pull/17934)) * Replace deprecated `_PyDict_GetItemStringWithError` (Marc Mueller, PR [17930](https://github.com/python/mypy/pull/17930)) * Fix wheel build for cp313-win (Marc Mueller, PR [17941](https://github.com/python/mypy/pull/17941)) * Use public PyGen_GetCode instead of vendored implementation (Marc Mueller, PR [17931](https://github.com/python/mypy/pull/17931)) * Optimize calls to final classes (jairov4, PR [17886](https://github.com/python/mypy/pull/17886)) * Support ellipsis (`...`) expressions in class bodies (Newbyte, PR [17923](https://github.com/python/mypy/pull/17923)) * Sync `pythoncapi_compat.h` (Marc Mueller, PR [17929](https://github.com/python/mypy/pull/17929)) * Add `runtests.py mypyc-fast` for running fast mypyc tests (Jukka Lehtosalo, PR [17906](https://github.com/python/mypy/pull/17906)) ### Stubgen Improvements * Do not include mypy generated symbols (Ali Hamdan, PR [18137](https://github.com/python/mypy/pull/18137)) * Fix `FunctionContext.fullname` for nested classes (Chad Dombrova, PR [17963](https://github.com/python/mypy/pull/17963)) * Add flagfile support (Ruslan Sayfutdinov, PR [18061](https://github.com/python/mypy/pull/18061)) * Add support for PEP 695 and PEP 696 syntax (Ali Hamdan, PR [18054](https://github.com/python/mypy/pull/18054)) ### Stubtest Improvements * Allow the use of `--show-traceback` and `--pdb` with stubtest (Stephen Morton, PR [18037](https://github.com/python/mypy/pull/18037)) * Verify `__all__` exists in stub (Sebastian Rittau, PR [18005](https://github.com/python/mypy/pull/18005)) * Stop telling people to use double underscores (Jelle Zijlstra, PR [17897](https://github.com/python/mypy/pull/17897)) ### Documentation Updates * Update config file documentation (sobolevn, PR [18103](https://github.com/python/mypy/pull/18103)) * Improve contributor documentation for Windows (ag-tafe, PR [18097](https://github.com/python/mypy/pull/18097)) * Correct note about `--disallow-any-generics` flag in documentation (Abel Sen, PR [18055](https://github.com/python/mypy/pull/18055)) * Further caution against `--follow-imports=skip` (Shantanu, PR [18048](https://github.com/python/mypy/pull/18048)) * Fix the edit page button link in documentation (Kanishk Pachauri, PR [17933](https://github.com/python/mypy/pull/17933)) ### Other Notables Fixes and Improvements * Allow enum members to have type objects as values (Jukka Lehtosalo, PR [19160](https://github.com/python/mypy/pull/19160)) * Show `Protocol` `__call__` for arguments with incompatible types (MechanicalConstruct, PR [18214](https://github.com/python/mypy/pull/18214)) * Make join and meet symmetric with `strict_optional` (MechanicalConstruct, PR [18227](https://github.com/python/mypy/pull/18227)) * Preserve block unreachablility when checking function definitions with constrained TypeVars (Brian Schubert, PR [18217](https://github.com/python/mypy/pull/18217)) * Do not include non-init fields in the synthesized `__replace__` method for dataclasses (Victorien, PR [18221](https://github.com/python/mypy/pull/18221)) * Disallow `TypeVar` constraints parameterized by type variables (Brian Schubert, PR [18186](https://github.com/python/mypy/pull/18186)) * Always complain about invalid varargs and varkwargs (Shantanu, PR [18207](https://github.com/python/mypy/pull/18207)) * Set default strict_optional state to True (Shantanu, PR [18198](https://github.com/python/mypy/pull/18198)) * Preserve type variable default None in type alias (Sukhorosov Aleksey, PR [18197](https://github.com/python/mypy/pull/18197)) * Add checks for invalid usage of continue/break/return in `except*` block (coldwolverine, PR [18132](https://github.com/python/mypy/pull/18132)) * Do not consider bare TypeVar not overlapping with None for reachability analysis (Stanislav Terliakov, PR [18138](https://github.com/python/mypy/pull/18138)) * Special case `types.DynamicClassAttribute` as property-like (Stephen Morton, PR [18150](https://github.com/python/mypy/pull/18150)) * Disallow bare `ParamSpec` in type aliases (Brian Schubert, PR [18174](https://github.com/python/mypy/pull/18174)) * Move long_description metadata to pyproject.toml (Marc Mueller, PR [18172](https://github.com/python/mypy/pull/18172)) * Support `==`-based narrowing of Optional (Christoph Tyralla, PR [18163](https://github.com/python/mypy/pull/18163)) * Allow TypedDict assignment of Required item to NotRequired ReadOnly item (Brian Schubert, PR [18164](https://github.com/python/mypy/pull/18164)) * Allow nesting of Annotated with TypedDict special forms inside TypedDicts (Brian Schubert, PR [18165](https://github.com/python/mypy/pull/18165)) * Infer generic type arguments for slice expressions (Brian Schubert, PR [18160](https://github.com/python/mypy/pull/18160)) * Fix checking of match sequence pattern against bounded type variables (Brian Schubert, PR [18091](https://github.com/python/mypy/pull/18091)) * Fix incorrect truthyness for Enum types and literals (David Salvisberg, PR [17337](https://github.com/python/mypy/pull/17337)) * Move static project metadata to pyproject.toml (Marc Mueller, PR [18146](https://github.com/python/mypy/pull/18146)) * Fallback to stdlib json if integer exceeds 64-bit range (q0w, PR [18148](https://github.com/python/mypy/pull/18148)) * Fix 'or' pattern structural matching exhaustiveness (yihong, PR [18119](https://github.com/python/mypy/pull/18119)) * Fix type inference of positional parameter in class pattern involving builtin subtype (Brian Schubert, PR [18141](https://github.com/python/mypy/pull/18141)) * Fix `[override]` error with no line number when argument node has no line number (Brian Schubert, PR [18122](https://github.com/python/mypy/pull/18122)) * Fix some dmypy crashes (Ivan Levkivskyi, PR [18098](https://github.com/python/mypy/pull/18098)) * Fix subtyping between instance type and overloaded (Shantanu, PR [18102](https://github.com/python/mypy/pull/18102)) * Clean up new_semantic_analyzer config (Shantanu, PR [18071](https://github.com/python/mypy/pull/18071)) * Issue warning for enum with no members in stub (Shantanu, PR [18068](https://github.com/python/mypy/pull/18068)) * Fix enum attributes are not members (Terence Honles, PR [17207](https://github.com/python/mypy/pull/17207)) * Fix crash when checking slice expression with step 0 in tuple index (Brian Schubert, PR [18063](https://github.com/python/mypy/pull/18063)) * Allow union-with-callable attributes to be overridden by methods (Brian Schubert, PR [18018](https://github.com/python/mypy/pull/18018)) * Emit `[mutable-override]` for covariant override of attribute with method (Brian Schubert, PR [18058](https://github.com/python/mypy/pull/18058)) * Support ParamSpec mapping with `functools.partial` (Stanislav Terliakov, PR [17355](https://github.com/python/mypy/pull/17355)) * Fix approved stub ignore, remove normpath (Shantanu, PR [18045](https://github.com/python/mypy/pull/18045)) * Make `disallow-any-unimported` flag invertible (Séamus Ó Ceanainn, PR [18030](https://github.com/python/mypy/pull/18030)) * Filter to possible package paths before trying to resolve a module (falsedrow, PR [18038](https://github.com/python/mypy/pull/18038)) * Fix overlap check for ParamSpec types (Jukka Lehtosalo, PR [18040](https://github.com/python/mypy/pull/18040)) * Do not prioritize ParamSpec signatures during overload resolution (Stanislav Terliakov, PR [18033](https://github.com/python/mypy/pull/18033)) * Fix ternary union for literals (Ivan Levkivskyi, PR [18023](https://github.com/python/mypy/pull/18023)) * Fix compatibility checks for conditional function definitions using decorators (Brian Schubert, PR [18020](https://github.com/python/mypy/pull/18020)) * TypeGuard should be bool not Any when matching TypeVar (Evgeniy Slobodkin, PR [17145](https://github.com/python/mypy/pull/17145)) * Fix convert-cache tool (Shantanu, PR [17974](https://github.com/python/mypy/pull/17974)) * Fix generator comprehension with mypyc (Shantanu, PR [17969](https://github.com/python/mypy/pull/17969)) * Fix crash issue when using shadowfile with pretty (Max Chang, PR [17894](https://github.com/python/mypy/pull/17894)) * Fix multiple nested classes with new generics syntax (Max Chang, PR [17820](https://github.com/python/mypy/pull/17820)) * Better error for `mypy -p package` without py.typed (Joe Gordon, PR [17908](https://github.com/python/mypy/pull/17908)) * Emit error for `raise NotImplemented` (Brian Schubert, PR [17890](https://github.com/python/mypy/pull/17890)) * Add `is_lvalue` attribute to AttributeContext (Brian Schubert, PR [17881](https://github.com/python/mypy/pull/17881)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - aatle - Abel Sen - Advait Dixit - ag-tafe - Alex Waygood - Ali Hamdan - Brian Schubert - Carlton Gibson - Chad Dombrova - Chelsea Durazo - chiri - Christoph Tyralla - coldwolverine - David Salvisberg - Ekin Dursun - Evgeniy Slobodkin - falsedrow - Gaurav Giri - Ihor - Ivan Levkivskyi - jairov4 - Jannick Kremer - Jared Hance - Jelle Zijlstra - jianghuyiyuan - Joe Gordon - John Doknjas - Jukka Lehtosalo - Kanishk Pachauri - Marc Mueller - Max Chang - MechanicalConstruct - Newbyte - q0w - Ruslan Sayfutdinov - Sebastian Rittau - Shantanu - sobolevn - Stanislav Terliakov - Stephen Morton - Sukhorosov Aleksey - Séamus Ó Ceanainn - Terence Honles - Valentin Stanciu - vasiliy - Victorien - yihong I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.13 We’ve just uploaded mypy 1.13 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). Note that unlike typical releases, Mypy 1.13 does not have any changes to type checking semantics from 1.12.1. ### Improved Performance Mypy 1.13 contains several performance improvements. Users can expect mypy to be 5-20% faster. In environments with long search paths (such as environments using many editable installs), mypy can be significantly faster, e.g. 2.2x faster in the use case targeted by these improvements. Mypy 1.13 allows use of the `orjson` library for handling the cache instead of the stdlib `json`, for improved performance. You can ensure the presence of `orjson` using the `faster-cache` extra: python3 -m pip install -U mypy[faster-cache] Mypy may depend on `orjson` by default in the future. These improvements were contributed by Shantanu. List of changes: * Significantly speed up file handling error paths (Shantanu, PR [17920](https://github.com/python/mypy/pull/17920)) * Use fast path in modulefinder more often (Shantanu, PR [17950](https://github.com/python/mypy/pull/17950)) * Let mypyc optimise os.path.join (Shantanu, PR [17949](https://github.com/python/mypy/pull/17949)) * Make is_sub_path faster (Shantanu, PR [17962](https://github.com/python/mypy/pull/17962)) * Speed up stubs suggestions (Shantanu, PR [17965](https://github.com/python/mypy/pull/17965)) * Use sha1 for hashing (Shantanu, PR [17953](https://github.com/python/mypy/pull/17953)) * Use orjson instead of json, when available (Shantanu, PR [17955](https://github.com/python/mypy/pull/17955)) * Add faster-cache extra, test in CI (Shantanu, PR [17978](https://github.com/python/mypy/pull/17978)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - Shantanu Jain - Jukka Lehtosalo ## Mypy 1.12 We’ve just uploaded mypy 1.12 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Support Python 3.12 Syntax for Generics (PEP 695) Support for the new type parameter syntax introduced in Python 3.12 is now enabled by default, documented, and no longer experimental. It was available through a feature flag in mypy 1.11 as an experimental feature. This example demonstrates the new syntax: ```python # Generic function def f[T](x: T) -> T: ... reveal_type(f(1)) # Revealed type is 'int' # Generic class class C[T]: def __init__(self, x: T) -> None: self.x = x c = C('a') reveal_type(c.x) # Revealed type is 'str' # Type alias type A[T] = C[list[T]] ``` For more information, refer to the [documentation](https://mypy.readthedocs.io/en/latest/generics.html). These improvements are included: * Document Python 3.12 type parameter syntax (Jukka Lehtosalo, PR [17816](https://github.com/python/mypy/pull/17816)) * Further documentation updates (Jukka Lehtosalo, PR [17826](https://github.com/python/mypy/pull/17826)) * Allow Self return types with contravariance (Jukka Lehtosalo, PR [17786](https://github.com/python/mypy/pull/17786)) * Enable new type parameter syntax by default (Jukka Lehtosalo, PR [17798](https://github.com/python/mypy/pull/17798)) * Generate error if new-style type alias used as base class (Jukka Lehtosalo, PR [17789](https://github.com/python/mypy/pull/17789)) * Inherit variance if base class has explicit variance (Jukka Lehtosalo, PR [17787](https://github.com/python/mypy/pull/17787)) * Fix crash on invalid type var reference (Jukka Lehtosalo, PR [17788](https://github.com/python/mypy/pull/17788)) * Fix covariance of frozen dataclasses (Jukka Lehtosalo, PR [17783](https://github.com/python/mypy/pull/17783)) * Allow covariance with attribute that has "`_`" name prefix (Jukka Lehtosalo, PR [17782](https://github.com/python/mypy/pull/17782)) * Support `Annotated[...]` in new-style type aliases (Jukka Lehtosalo, PR [17777](https://github.com/python/mypy/pull/17777)) * Fix nested generic classes (Jukka Lehtosalo, PR [17776](https://github.com/python/mypy/pull/17776)) * Add detection and error reporting for the use of incorrect expressions within the scope of a type parameter and a type alias (Kirill Podoprigora, PR [17560](https://github.com/python/mypy/pull/17560)) ### Basic Support for Python 3.13 This release adds partial support for Python 3.13 features and compiled binaries for Python 3.13. Mypyc now also supports Python 3.13. In particular, these features are supported: * Various new stdlib features and changes (through typeshed stub improvements) * `typing.ReadOnly` (see below for more) * `typing.TypeIs` (added in mypy 1.10, [PEP 742](https://peps.python.org/pep-0742/)) * Type parameter defaults when using the legacy syntax ([PEP 696](https://peps.python.org/pep-0696/)) These features are not supported yet: * `warnings.deprecated` ([PEP 702](https://peps.python.org/pep-0702/)) * Type parameter defaults when using Python 3.12 type parameter syntax ### Mypyc Support for Python 3.13 Mypyc now supports Python 3.13. This was contributed by Marc Mueller, with additional fixes by Jukka Lehtosalo. Free threaded Python 3.13 builds are not supported yet. List of changes: * Add additional includes for Python 3.13 (Marc Mueller, PR [17506](https://github.com/python/mypy/pull/17506)) * Add another include for Python 3.13 (Marc Mueller, PR [17509](https://github.com/python/mypy/pull/17509)) * Fix ManagedDict functions for Python 3.13 (Marc Mueller, PR [17507](https://github.com/python/mypy/pull/17507)) * Update mypyc test output for Python 3.13 (Marc Mueller, PR [17508](https://github.com/python/mypy/pull/17508)) * Fix `PyUnicode` functions for Python 3.13 (Marc Mueller, PR [17504](https://github.com/python/mypy/pull/17504)) * Fix `_PyObject_LookupAttrId` for Python 3.13 (Marc Mueller, PR [17505](https://github.com/python/mypy/pull/17505)) * Fix `_PyList_Extend` for Python 3.13 (Marc Mueller, PR [17503](https://github.com/python/mypy/pull/17503)) * Fix `gen_is_coroutine` for Python 3.13 (Marc Mueller, PR [17501](https://github.com/python/mypy/pull/17501)) * Fix `_PyObject_FastCall` for Python 3.13 (Marc Mueller, PR [17502](https://github.com/python/mypy/pull/17502)) * Avoid uses of `_PyObject_CallMethodOneArg` on 3.13 (Jukka Lehtosalo, PR [17526](https://github.com/python/mypy/pull/17526)) * Don't rely on `_PyType_CalculateMetaclass` on 3.13 (Jukka Lehtosalo, PR [17525](https://github.com/python/mypy/pull/17525)) * Don't use `_PyUnicode_FastCopyCharacters` on 3.13 (Jukka Lehtosalo, PR [17524](https://github.com/python/mypy/pull/17524)) * Don't use `_PyUnicode_EQ` on 3.13, as it's no longer exported (Jukka Lehtosalo, PR [17523](https://github.com/python/mypy/pull/17523)) ### Inferring Unions for Conditional Expressions Mypy now always tries to infer a union type for a conditional expression if left and right operand types are different. This results in more precise inferred types and lets mypy detect more issues. Example: ```python s = "foo" if cond() else 1 # Type of "s" is now "str | int" (it used to be "object") ``` Notably, if one of the operands has type `Any`, the type of a conditional expression is now ` | Any`. Previously the inferred type was just `Any`. The new type essentially indicates that the value can be of type ``, and potentially of some (unknown) type. Most operations performed on the result must also be valid for ``. Example where this is relevant: ```python from typing import Any def func(a: Any, b: bool) -> None: x = a if b else None # Type of x is "Any | None" print(x.y) # Error: None has no attribute "y" ``` This feature was contributed by Ivan Levkivskyi (PR [17427](https://github.com/python/mypy/pull/17427)). ### ReadOnly Support for TypedDict (PEP 705) You can now use `typing.ReadOnly` to specity TypedDict items as read-only ([PEP 705](https://peps.python.org/pep-0705/)): ```python from typing import TypedDict # Or "from typing ..." on Python 3.13 from typing_extensions import ReadOnly class TD(TypedDict): a: int b: ReadOnly[int] d: TD = {"a": 1, "b": 2} d["a"] = 3 # OK d["b"] = 5 # Error: "b" is ReadOnly ``` This feature was contributed by Nikita Sobolev (PR [17644](https://github.com/python/mypy/pull/17644)). ### Python 3.8 End of Life Approaching We are planning to drop support for Python 3.8 in the next mypy feature release or the one after that. Python 3.8 reaches end of life in October 2024. ### Planned Changes to Defaults We are planning to enable `--local-partial-types` by default in mypy 2.0. This will often require at least minor code changes. This option is implicitly enabled by mypy daemon, so this makes the behavior of daemon and non-daemon modes consistent. We recommend that mypy users start using local partial types soon (or to explicitly disable them) to prepare for the change. This can also be configured in a mypy configuration file: ``` local_partial_types = True ``` For more information, refer to the [documentation](https://mypy.readthedocs.io/en/stable/command_line.html#cmdoption-mypy-local-partial-types). ### Documentation Updates Mypy documentation now uses modern syntax variants and imports in many examples. Some examples no longer work on Python 3.8, which is the earliest Python version that mypy supports. Notably, `Iterable` and other protocols/ABCs are imported from `collections.abc` instead of `typing`: ```python from collections.abc import Iterable, Callable ``` Examples also avoid the upper-case aliases to built-in types: `list[str]` is used instead of `List[str]`. The `X | Y` union type syntax introduced in Python 3.10 is also now prevalent. List of documentation updates: * Document `--output=json` CLI option (Edgar Ramírez Mondragón, PR [17611](https://github.com/python/mypy/pull/17611)) * Update various references to deprecated type aliases in docs (Jukka Lehtosalo, PR [17829](https://github.com/python/mypy/pull/17829)) * Make "X | Y" union syntax more prominent in documentation (Jukka Lehtosalo, PR [17835](https://github.com/python/mypy/pull/17835)) * Discuss upper bounds before self types in documentation (Jukka Lehtosalo, PR [17827](https://github.com/python/mypy/pull/17827)) * Make changelog visible in mypy documentation (quinn-sasha, PR [17742](https://github.com/python/mypy/pull/17742)) * List all incomplete features in `--enable-incomplete-feature` docs (sobolevn, PR [17633](https://github.com/python/mypy/pull/17633)) * Remove the explicit setting of a pygments theme (Pradyun Gedam, PR [17571](https://github.com/python/mypy/pull/17571)) * Document ReadOnly with TypedDict (Jukka Lehtosalo, PR [17905](https://github.com/python/mypy/pull/17905)) * Document TypeIs (Chelsea Durazo, PR [17821](https://github.com/python/mypy/pull/17821)) ### Experimental Inline TypedDict Syntax Mypy now supports a non-standard, experimental syntax for defining anonymous TypedDicts. Example: ```python def func(n: str, y: int) -> {"name": str, "year": int}: return {"name": n, "year": y} ``` The feature is disabled by default. Use `--enable-incomplete-feature=InlineTypedDict` to enable it. *We might remove this feature in a future release.* This feature was contributed by Ivan Levkivskyi (PR [17457](https://github.com/python/mypy/pull/17457)). ### Stubgen Improvements * Fix crash on literal class-level keywords (sobolevn, PR [17663](https://github.com/python/mypy/pull/17663)) * Stubgen add `--version` (sobolevn, PR [17662](https://github.com/python/mypy/pull/17662)) * Fix `stubgen --no-analysis/--parse-only` docs (sobolevn, PR [17632](https://github.com/python/mypy/pull/17632)) * Include keyword only args when generating signatures in stubgenc (Eric Mark Martin, PR [17448](https://github.com/python/mypy/pull/17448)) * Add support for detecting `Literal` types when extracting types from docstrings (Michael Carlstrom, PR [17441](https://github.com/python/mypy/pull/17441)) * Use `Generator` type var defaults (Sebastian Rittau, PR [17670](https://github.com/python/mypy/pull/17670)) ### Stubtest Improvements * Add support for `cached_property` (Ali Hamdan, PR [17626](https://github.com/python/mypy/pull/17626)) * Add `enable_incomplete_feature` validation to `stubtest` (sobolevn, PR [17635](https://github.com/python/mypy/pull/17635)) * Fix error code handling in `stubtest` with `--mypy-config-file` (sobolevn, PR [17629](https://github.com/python/mypy/pull/17629)) ### Other Notables Fixes and Improvements * Report error if using unsupported type parameter defaults (Jukka Lehtosalo, PR [17876](https://github.com/python/mypy/pull/17876)) * Fix re-processing cross-reference in mypy daemon when node kind changes (Ivan Levkivskyi, PR [17883](https://github.com/python/mypy/pull/17883)) * Don't use equality to narrow when value is IntEnum/StrEnum (Jukka Lehtosalo, PR [17866](https://github.com/python/mypy/pull/17866)) * Don't consider None vs IntEnum comparison ambiguous (Jukka Lehtosalo, PR [17877](https://github.com/python/mypy/pull/17877)) * Fix narrowing of IntEnum and StrEnum types (Jukka Lehtosalo, PR [17874](https://github.com/python/mypy/pull/17874)) * Filter overload items based on self type during type inference (Jukka Lehtosalo, PR [17873](https://github.com/python/mypy/pull/17873)) * Enable negative narrowing of union TypeVar upper bounds (Brian Schubert, PR [17850](https://github.com/python/mypy/pull/17850)) * Fix issue with member expression formatting (Brian Schubert, PR [17848](https://github.com/python/mypy/pull/17848)) * Avoid type size explosion when expanding types (Jukka Lehtosalo, PR [17842](https://github.com/python/mypy/pull/17842)) * Fix negative narrowing of tuples in match statement (Brian Schubert, PR [17817](https://github.com/python/mypy/pull/17817)) * Narrow falsey str/bytes/int to literal type (Brian Schubert, PR [17818](https://github.com/python/mypy/pull/17818)) * Test against latest Python 3.13, make testing 3.14 easy (Shantanu, PR [17812](https://github.com/python/mypy/pull/17812)) * Reject ParamSpec-typed callables calls with insufficient arguments (Stanislav Terliakov, PR [17323](https://github.com/python/mypy/pull/17323)) * Fix crash when passing too many type arguments to generic base class accepting single ParamSpec (Brian Schubert, PR [17770](https://github.com/python/mypy/pull/17770)) * Fix TypeVar upper bounds sometimes not being displayed in pretty callables (Brian Schubert, PR [17802](https://github.com/python/mypy/pull/17802)) * Added error code for overlapping function signatures (Katrina Connors, PR [17597](https://github.com/python/mypy/pull/17597)) * Check for `truthy-bool` in `not ...` unary expressions (sobolevn, PR [17773](https://github.com/python/mypy/pull/17773)) * Add missing lines-covered and lines-valid attributes (Soubhik Kumar Mitra, PR [17738](https://github.com/python/mypy/pull/17738)) * Fix another crash scenario with recursive tuple types (Ivan Levkivskyi, PR [17708](https://github.com/python/mypy/pull/17708)) * Resolve TypeVar upper bounds in `functools.partial` (Shantanu, PR [17660](https://github.com/python/mypy/pull/17660)) * Always reset binder when checking deferred nodes (Ivan Levkivskyi, PR [17643](https://github.com/python/mypy/pull/17643)) * Fix crash on a callable attribute with single unpack (Ivan Levkivskyi, PR [17641](https://github.com/python/mypy/pull/17641)) * Fix mismatched signature between checker plugin API and implementation (bzoracler, PR [17343](https://github.com/python/mypy/pull/17343)) * Indexing a type also produces a GenericAlias (Shantanu, PR [17546](https://github.com/python/mypy/pull/17546)) * Fix crash on self-type in callable protocol (Ivan Levkivskyi, PR [17499](https://github.com/python/mypy/pull/17499)) * Fix crash on NamedTuple with method and error in function (Ivan Levkivskyi, PR [17498](https://github.com/python/mypy/pull/17498)) * Add `__replace__` for dataclasses in 3.13 (Max Muoto, PR [17469](https://github.com/python/mypy/pull/17469)) * Fix help message for `--no-namespace-packages` (Raphael Krupinski, PR [17472](https://github.com/python/mypy/pull/17472)) * Fix typechecking for async generators (Danny Yang, PR [17452](https://github.com/python/mypy/pull/17452)) * Fix strict optional handling in attrs plugin (Ivan Levkivskyi, PR [17451](https://github.com/python/mypy/pull/17451)) * Allow mixing ParamSpec and TypeVarTuple in Generic (Ivan Levkivskyi, PR [17450](https://github.com/python/mypy/pull/17450)) * Improvements to `functools.partial` of types (Shantanu, PR [17898](https://github.com/python/mypy/pull/17898)) * Make ReadOnly TypedDict items covariant (Jukka Lehtosalo, PR [17904](https://github.com/python/mypy/pull/17904)) * Fix union callees with `functools.partial` (Jukka Lehtosalo, PR [17903](https://github.com/python/mypy/pull/17903)) * Improve handling of generic functions with `functools.partial` (Ivan Levkivskyi, PR [17925](https://github.com/python/mypy/pull/17925)) ### Typeshed Updates Please see [git log](https://github.com/python/typeshed/commits/main?after=91a58b07cdd807b1d965e04ba85af2adab8bf924+0&branch=main&path=stdlib) for full list of standard library typeshed stub changes. ### Mypy 1.12.1 * Fix crash when showing partially analyzed type in error message (Ivan Levkivskyi, PR [17961](https://github.com/python/mypy/pull/17961)) * Fix iteration over union (when self type is involved) (Shantanu, PR [17976](https://github.com/python/mypy/pull/17976)) * Fix type object with type var default in union context (Jukka Lehtosalo, PR [17991](https://github.com/python/mypy/pull/17991)) * Revert change to `os.path` stubs affecting use of `os.PathLike[Any]` (Shantanu, PR [17995](https://github.com/python/mypy/pull/17995)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - Ali Hamdan - Anders Kaseorg - Bénédikt Tran - Brian Schubert - bzoracler - Chelsea Durazo - Danny Yang - Edgar Ramírez Mondragón - Eric Mark Martin - InSync - Ivan Levkivskyi - Jordandev678 - Katrina Connors - Kirill Podoprigora - Marc Mueller - Max Muoto - Max Murin - Michael Carlstrom - Michael I Chen - Pradyun Gedam - quinn-sasha - Raphael Krupinski - Sebastian Rittau - Shantanu - sobolevn - Soubhik Kumar Mitra - Stanislav Terliakov - wyattscarpenter I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.11 We’ve just uploaded mypy 1.11 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Support Python 3.12 Syntax for Generics (PEP 695) Mypy now supports the new type parameter syntax introduced in Python 3.12 ([PEP 695](https://peps.python.org/pep-0695/)). This feature is still experimental and must be enabled with the `--enable-incomplete-feature=NewGenericSyntax` flag, or with `enable_incomplete_feature = NewGenericSyntax` in the mypy configuration file. We plan to enable this by default in the next mypy feature release. This example demonstrates the new syntax: ```python # Generic function def f[T](x: T) -> T: ... reveal_type(f(1)) # Revealed type is 'int' # Generic class class C[T]: def __init__(self, x: T) -> None: self.x = x c = C('a') reveal_type(c.x) # Revealed type is 'str' # Type alias type A[T] = C[list[T]] ``` This feature was contributed by Jukka Lehtosalo. ### Support for `functools.partial` Mypy now type checks uses of `functools.partial`. Previously mypy would accept arbitrary arguments. This example will now produce an error: ```python from functools import partial def f(a: int, b: str) -> None: ... g = partial(f, 1) # Argument has incompatible type "int"; expected "str" g(11) ``` This feature was contributed by Shantanu (PR [16939](https://github.com/python/mypy/pull/16939)). ### Stricter Checks for Untyped Overrides Past mypy versions didn't check if untyped methods were compatible with overridden methods. This would result in false negatives. Now mypy performs these checks when using `--check-untyped-defs`. For example, this now generates an error if using `--check-untyped-defs`: ```python class Base: def f(self, x: int = 0) -> None: ... class Derived(Base): # Signature incompatible with "Base" def f(self): ... ``` This feature was contributed by Steven Troxler (PR [17276](https://github.com/python/mypy/pull/17276)). ### Type Inference Improvements The new polymorphic inference algorithm introduced in mypy 1.5 is now used in more situations. This improves type inference involving generic higher-order functions, in particular. This feature was contributed by Ivan Levkivskyi (PR [17348](https://github.com/python/mypy/pull/17348)). Mypy now uses unions of tuple item types in certain contexts to enable more precise inferred types. Example: ```python for x in (1, 'x'): # Previously inferred as 'object' reveal_type(x) # Revealed type is 'int | str' ``` This was also contributed by Ivan Levkivskyi (PR [17408](https://github.com/python/mypy/pull/17408)). ### Improvements to Detection of Overlapping Overloads The details of how mypy checks if two `@overload` signatures are unsafely overlapping were overhauled. This both fixes some false positives, and allows mypy to detect additional unsafe signatures. This feature was contributed by Ivan Levkivskyi (PR [17392](https://github.com/python/mypy/pull/17392)). ### Better Support for Type Hints in Expressions Mypy now allows more expressions that evaluate to valid type annotations in all expression contexts. The inferred types of these expressions are also sometimes more precise. Previously they were often `object`. This example uses a union type that includes a callable type as an expression, and it no longer generates an error: ```python from typing import Callable print(Callable[[], int] | None) # No error ``` This feature was contributed by Jukka Lehtosalo (PR [17404](https://github.com/python/mypy/pull/17404)). ### Mypyc Improvements Mypyc now supports the new syntax for generics introduced in Python 3.12 (see above). Another notable improvement is significantly faster basic operations on `int` values. * Support Python 3.12 syntax for generic functions and classes (Jukka Lehtosalo, PR [17357](https://github.com/python/mypy/pull/17357)) * Support Python 3.12 type alias syntax (Jukka Lehtosalo, PR [17384](https://github.com/python/mypy/pull/17384)) * Fix ParamSpec (Shantanu, PR [17309](https://github.com/python/mypy/pull/17309)) * Inline fast paths of integer unboxing operations (Jukka Lehtosalo, PR [17266](https://github.com/python/mypy/pull/17266)) * Inline tagged integer arithmetic and bitwise operations (Jukka Lehtosalo, PR [17265](https://github.com/python/mypy/pull/17265)) * Allow specifying primitives as pure (Jukka Lehtosalo, PR [17263](https://github.com/python/mypy/pull/17263)) ### Changes to Stubtest * Ignore `_ios_support` (Alex Waygood, PR [17270](https://github.com/python/mypy/pull/17270)) * Improve support for Python 3.13 (Shantanu, PR [17261](https://github.com/python/mypy/pull/17261)) ### Changes to Stubgen * Gracefully handle invalid `Optional` and recognize aliases to PEP 604 unions (Ali Hamdan, PR [17386](https://github.com/python/mypy/pull/17386)) * Fix for Python 3.13 (Jelle Zijlstra, PR [17290](https://github.com/python/mypy/pull/17290)) * Preserve enum value initialisers (Shantanu, PR [17125](https://github.com/python/mypy/pull/17125)) ### Miscellaneous New Features * Add error format support and JSON output option via `--output json` (Tushar Sadhwani, PR [11396](https://github.com/python/mypy/pull/11396)) * Support `enum.member` in Python 3.11+ (Nikita Sobolev, PR [17382](https://github.com/python/mypy/pull/17382)) * Support `enum.nonmember` in Python 3.11+ (Nikita Sobolev, PR [17376](https://github.com/python/mypy/pull/17376)) * Support `namedtuple.__replace__` in Python 3.13 (Shantanu, PR [17259](https://github.com/python/mypy/pull/17259)) * Support `rename=True` in collections.namedtuple (Jelle Zijlstra, PR [17247](https://github.com/python/mypy/pull/17247)) * Add support for `__spec__` (Shantanu, PR [14739](https://github.com/python/mypy/pull/14739)) ### Changes to Error Reporting * Mention `--enable-incomplete-feature=NewGenericSyntax` in messages (Shantanu, PR [17462](https://github.com/python/mypy/pull/17462)) * Do not report plugin-generated methods with `explicit-override` (sobolevn, PR [17433](https://github.com/python/mypy/pull/17433)) * Use and display namespaces for function type variables (Ivan Levkivskyi, PR [17311](https://github.com/python/mypy/pull/17311)) * Fix false positive for Final local scope variable in Protocol (GiorgosPapoutsakis, PR [17308](https://github.com/python/mypy/pull/17308)) * Use Never in more messages, use ambiguous in join (Shantanu, PR [17304](https://github.com/python/mypy/pull/17304)) * Log full path to config file in verbose output (dexterkennedy, PR [17180](https://github.com/python/mypy/pull/17180)) * Added `[prop-decorator]` code for unsupported property decorators (#14461) (Christopher Barber, PR [16571](https://github.com/python/mypy/pull/16571)) * Suppress second error message with `:=` and `[truthy-bool]` (Nikita Sobolev, PR [15941](https://github.com/python/mypy/pull/15941)) * Generate error for assignment of functional Enum to variable of different name (Shantanu, PR [16805](https://github.com/python/mypy/pull/16805)) * Fix error reporting on cached run after uninstallation of third party library (Shantanu, PR [17420](https://github.com/python/mypy/pull/17420)) ### Fixes for Crashes * Fix daemon crash on invalid type in TypedDict (Ivan Levkivskyi, PR [17495](https://github.com/python/mypy/pull/17495)) * Fix crash and bugs related to `partial()` (Ivan Levkivskyi, PR [17423](https://github.com/python/mypy/pull/17423)) * Fix crash when overriding with unpacked TypedDict (Ivan Levkivskyi, PR [17359](https://github.com/python/mypy/pull/17359)) * Fix crash on TypedDict unpacking for ParamSpec (Ivan Levkivskyi, PR [17358](https://github.com/python/mypy/pull/17358)) * Fix crash involving recursive union of tuples (Ivan Levkivskyi, PR [17353](https://github.com/python/mypy/pull/17353)) * Fix crash on invalid callable property override (Ivan Levkivskyi, PR [17352](https://github.com/python/mypy/pull/17352)) * Fix crash on unpacking self in NamedTuple (Ivan Levkivskyi, PR [17351](https://github.com/python/mypy/pull/17351)) * Fix crash on recursive alias with an optional type (Ivan Levkivskyi, PR [17350](https://github.com/python/mypy/pull/17350)) * Fix crash on type comment inside generic definitions (Bénédikt Tran, PR [16849](https://github.com/python/mypy/pull/16849)) ### Changes to Documentation * Use inline config in documentation for optional error codes (Shantanu, PR [17374](https://github.com/python/mypy/pull/17374)) * Use lower-case generics in documentation (Seo Sanghyeon, PR [17176](https://github.com/python/mypy/pull/17176)) * Add documentation for show-error-code-links (GiorgosPapoutsakis, PR [17144](https://github.com/python/mypy/pull/17144)) * Update CONTRIBUTING.md to include commands for Windows (GiorgosPapoutsakis, PR [17142](https://github.com/python/mypy/pull/17142)) ### Other Notable Improvements and Fixes * Fix ParamSpec inference against TypeVarTuple (Ivan Levkivskyi, PR [17431](https://github.com/python/mypy/pull/17431)) * Fix explicit type for `partial` (Ivan Levkivskyi, PR [17424](https://github.com/python/mypy/pull/17424)) * Always allow lambda calls (Ivan Levkivskyi, PR [17430](https://github.com/python/mypy/pull/17430)) * Fix isinstance checks with PEP 604 unions containing None (Shantanu, PR [17415](https://github.com/python/mypy/pull/17415)) * Fix self-referential upper bound in new-style type variables (Ivan Levkivskyi, PR [17407](https://github.com/python/mypy/pull/17407)) * Consider overlap between instances and callables (Ivan Levkivskyi, PR [17389](https://github.com/python/mypy/pull/17389)) * Allow new-style self-types in classmethods (Ivan Levkivskyi, PR [17381](https://github.com/python/mypy/pull/17381)) * Fix isinstance with type aliases to PEP 604 unions (Shantanu, PR [17371](https://github.com/python/mypy/pull/17371)) * Properly handle unpacks in overlap checks (Ivan Levkivskyi, PR [17356](https://github.com/python/mypy/pull/17356)) * Fix type application for classes with generic constructors (Ivan Levkivskyi, PR [17354](https://github.com/python/mypy/pull/17354)) * Update `typing_extensions` to >=4.6.0 to fix Python 3.12 error (Ben Brown, PR [17312](https://github.com/python/mypy/pull/17312)) * Avoid "does not return" error in lambda (Shantanu, PR [17294](https://github.com/python/mypy/pull/17294)) * Fix bug with descriptors in non-strict-optional mode (Max Murin, PR [17293](https://github.com/python/mypy/pull/17293)) * Don’t leak unreachability from lambda body to surrounding scope (Anders Kaseorg, PR [17287](https://github.com/python/mypy/pull/17287)) * Fix issues with non-ASCII characters on Windows (Alexander Leopold Shon, PR [17275](https://github.com/python/mypy/pull/17275)) * Fix for type narrowing of negative integer literals (gilesgc, PR [17256](https://github.com/python/mypy/pull/17256)) * Fix confusion between .py and .pyi files in mypy daemon (Valentin Stanciu, PR [17245](https://github.com/python/mypy/pull/17245)) * Fix type of `tuple[X, Y]` expression (urnest, PR [17235](https://github.com/python/mypy/pull/17235)) * Don't forget that a `TypedDict` was wrapped in `Unpack` after a `name-defined` error occurred (Christoph Tyralla, PR [17226](https://github.com/python/mypy/pull/17226)) * Mark annotated argument as having an explicit, not inferred type (bzoracler, PR [17217](https://github.com/python/mypy/pull/17217)) * Don't consider Enum private attributes as enum members (Ali Hamdan, PR [17182](https://github.com/python/mypy/pull/17182)) * Fix Literal strings containing pipe characters (Jelle Zijlstra, PR [17148](https://github.com/python/mypy/pull/17148)) ### Typeshed Updates Please see [git log](https://github.com/python/typeshed/commits/main?after=6dda799d8ad1d89e0f8aad7ac41d2d34bd838ace+0&branch=main&path=stdlib) for full list of standard library typeshed stub changes. ### Mypy 1.11.1 * Fix `RawExpressionType.accept` crash with `--cache-fine-grained` (Anders Kaseorg, PR [17588](https://github.com/python/mypy/pull/17588)) * Fix PEP 604 isinstance caching (Shantanu, PR [17563](https://github.com/python/mypy/pull/17563)) * Fix `typing.TypeAliasType` being undefined on python < 3.12 (Nikita Sobolev, PR [17558](https://github.com/python/mypy/pull/17558)) * Fix `types.GenericAlias` lookup crash (Shantanu, PR [17543](https://github.com/python/mypy/pull/17543)) ### Mypy 1.11.2 * Alternative fix for a union-like literal string (Ivan Levkivskyi, PR [17639](https://github.com/python/mypy/pull/17639)) * Unwrap `TypedDict` item types before storing (Ivan Levkivskyi, PR [17640](https://github.com/python/mypy/pull/17640)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - Alex Waygood - Alexander Leopold Shon - Ali Hamdan - Anders Kaseorg - Ben Brown - Bénédikt Tran - bzoracler - Christoph Tyralla - Christopher Barber - dexterkennedy - gilesgc - GiorgosPapoutsakis - Ivan Levkivskyi - Jelle Zijlstra - Jukka Lehtosalo - Marc Mueller - Matthieu Devlin - Michael R. Crusoe - Nikita Sobolev - Seo Sanghyeon - Shantanu - sobolevn - Steven Troxler - Tadeu Manoel - Tamir Duberstein - Tushar Sadhwani - urnest - Valentin Stanciu I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.10 We’ve just uploaded mypy 1.10 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Support TypeIs (PEP 742) Mypy now supports `TypeIs` ([PEP 742](https://peps.python.org/pep-0742/)), which allows functions to narrow the type of a value, similar to `isinstance()`. Unlike `TypeGuard`, `TypeIs` can narrow in both the `if` and `else` branches of an if statement: ```python from typing_extensions import TypeIs def is_str(s: object) -> TypeIs[str]: return isinstance(s, str) def f(o: str | int) -> None: if is_str(o): # Type of o is 'str' ... else: # Type of o is 'int' ... ``` `TypeIs` will be added to the `typing` module in Python 3.13, but it can be used on earlier Python versions by importing it from `typing_extensions`. This feature was contributed by Jelle Zijlstra (PR [16898](https://github.com/python/mypy/pull/16898)). ### Support TypeVar Defaults (PEP 696) [PEP 696](https://peps.python.org/pep-0696/) adds support for type parameter defaults. Example: ```python from typing import Generic from typing_extensions import TypeVar T = TypeVar("T", default=int) class C(Generic[T]): ... x: C = ... y: C[str] = ... reveal_type(x) # C[int], because of the default reveal_type(y) # C[str] ``` TypeVar defaults will be added to the `typing` module in Python 3.13, but they can be used with earlier Python releases by importing `TypeVar` from `typing_extensions`. This feature was contributed by Marc Mueller (PR [16878](https://github.com/python/mypy/pull/16878) and PR [16925](https://github.com/python/mypy/pull/16925)). ### Support TypeAliasType (PEP 695) As part of the initial steps towards implementing [PEP 695](https://peps.python.org/pep-0695/), mypy now supports `TypeAliasType`. `TypeAliasType` provides a backport of the new `type` statement in Python 3.12. ```python type ListOrSet[T] = list[T] | set[T] ``` is equivalent to: ```python T = TypeVar("T") ListOrSet = TypeAliasType("ListOrSet", list[T] | set[T], type_params=(T,)) ``` Example of use in mypy: ```python from typing_extensions import TypeAliasType, TypeVar NewUnionType = TypeAliasType("NewUnionType", int | str) x: NewUnionType = 42 y: NewUnionType = 'a' z: NewUnionType = object() # error: Incompatible types in assignment (expression has type "object", variable has type "int | str") [assignment] T = TypeVar("T") ListOrSet = TypeAliasType("ListOrSet", list[T] | set[T], type_params=(T,)) a: ListOrSet[int] = [1, 2] b: ListOrSet[str] = {'a', 'b'} c: ListOrSet[str] = 'test' # error: Incompatible types in assignment (expression has type "str", variable has type "list[str] | set[str]") [assignment] ``` `TypeAliasType` was added to the `typing` module in Python 3.12, but it can be used with earlier Python releases by importing from `typing_extensions`. This feature was contributed by Ali Hamdan (PR [16926](https://github.com/python/mypy/pull/16926), PR [17038](https://github.com/python/mypy/pull/17038) and PR [17053](https://github.com/python/mypy/pull/17053)) ### Detect Additional Unsafe Uses of super() Mypy will reject unsafe uses of `super()` more consistently, when the target has a trivial (empty) body. Example: ```python class Proto(Protocol): def method(self) -> int: ... class Sub(Proto): def method(self) -> int: return super().meth() # Error (unsafe) ``` This feature was contributed by Shantanu (PR [16756](https://github.com/python/mypy/pull/16756)). ### Stubgen Improvements - Preserve empty tuple annotation (Ali Hamdan, PR [16907](https://github.com/python/mypy/pull/16907)) - Add support for PEP 570 positional-only parameters (Ali Hamdan, PR [16904](https://github.com/python/mypy/pull/16904)) - Replace obsolete typing aliases with builtin containers (Ali Hamdan, PR [16780](https://github.com/python/mypy/pull/16780)) - Fix generated dataclass `__init__` signature (Ali Hamdan, PR [16906](https://github.com/python/mypy/pull/16906)) ### Mypyc Improvements - Provide an easier way to define IR-to-IR transforms (Jukka Lehtosalo, PR [16998](https://github.com/python/mypy/pull/16998)) - Implement lowering pass and add primitives for int (in)equality (Jukka Lehtosalo, PR [17027](https://github.com/python/mypy/pull/17027)) - Implement lowering for remaining tagged integer comparisons (Jukka Lehtosalo, PR [17040](https://github.com/python/mypy/pull/17040)) - Optimize away some bool/bit registers (Jukka Lehtosalo, PR [17022](https://github.com/python/mypy/pull/17022)) - Remangle redefined names produced by async with (Richard Si, PR [16408](https://github.com/python/mypy/pull/16408)) - Optimize TYPE_CHECKING to False at Runtime (Srinivas Lade, PR [16263](https://github.com/python/mypy/pull/16263)) - Fix compilation of unreachable comprehensions (Richard Si, PR [15721](https://github.com/python/mypy/pull/15721)) - Don't crash on non-inlinable final local reads (Richard Si, PR [15719](https://github.com/python/mypy/pull/15719)) ### Documentation Improvements - Import `TypedDict` from `typing` instead of `typing_extensions` (Riccardo Di Maio, PR [16958](https://github.com/python/mypy/pull/16958)) - Add missing `mutable-override` to section title (James Braza, PR [16886](https://github.com/python/mypy/pull/16886)) ### Error Reporting Improvements - Use lower-case generics more consistently in error messages (Jukka Lehtosalo, PR [17035](https://github.com/python/mypy/pull/17035)) ### Other Notable Changes and Fixes - Fix incorrect inferred type when accessing descriptor on union type (Matthieu Devlin, PR [16604](https://github.com/python/mypy/pull/16604)) - Fix crash when expanding invalid `Unpack` in a `Callable` alias (Ali Hamdan, PR [17028](https://github.com/python/mypy/pull/17028)) - Fix false positive when string formatting with string enum (roberfi, PR [16555](https://github.com/python/mypy/pull/16555)) - Narrow individual items when matching a tuple to a sequence pattern (Loïc Simon, PR [16905](https://github.com/python/mypy/pull/16905)) - Fix false positive from type variable within TypeGuard or TypeIs (Evgeniy Slobodkin, PR [17071](https://github.com/python/mypy/pull/17071)) - Improve `yield from` inference for unions of generators (Shantanu, PR [16717](https://github.com/python/mypy/pull/16717)) - Fix emulating hash method logic in `attrs` classes (Hashem, PR [17016](https://github.com/python/mypy/pull/17016)) - Add reverted typeshed commit that uses `ParamSpec` for `functools.wraps` (Tamir Duberstein, PR [16942](https://github.com/python/mypy/pull/16942)) - Fix type narrowing for `types.EllipsisType` (Shantanu, PR [17003](https://github.com/python/mypy/pull/17003)) - Fix single item enum match type exhaustion (Oskari Lehto, PR [16966](https://github.com/python/mypy/pull/16966)) - Improve type inference with empty collections (Marc Mueller, PR [16994](https://github.com/python/mypy/pull/16994)) - Fix override checking for decorated property (Shantanu, PR [16856](https://github.com/python/mypy/pull/16856)) - Fix narrowing on match with function subject (Edward Paget, PR [16503](https://github.com/python/mypy/pull/16503)) - Allow `+N` within `Literal[...]` (Spencer Brown, PR [16910](https://github.com/python/mypy/pull/16910)) - Experimental: Support TypedDict within `type[...]` (Marc Mueller, PR [16963](https://github.com/python/mypy/pull/16963)) - Experimtental: Fix issue with TypedDict with optional keys in `type[...]` (Marc Mueller, PR [17068](https://github.com/python/mypy/pull/17068)) ### Typeshed Updates Please see [git log](https://github.com/python/typeshed/commits/main?after=6dda799d8ad1d89e0f8aad7ac41d2d34bd838ace+0&branch=main&path=stdlib) for full list of standard library typeshed stub changes. ### Mypy 1.10.1 - Fix error reporting on cached run after uninstallation of third party library (Shantanu, PR [17420](https://github.com/python/mypy/pull/17420)) ### Acknowledgements Thanks to all mypy contributors who contributed to this release: - Alex Waygood - Ali Hamdan - Edward Paget - Evgeniy Slobodkin - Hashem - hesam - Hugo van Kemenade - Ihor - James Braza - Jelle Zijlstra - jhance - Jukka Lehtosalo - Loïc Simon - Marc Mueller - Matthieu Devlin - Michael R. Crusoe - Nikita Sobolev - Oskari Lehto - Riccardo Di Maio - Richard Si - roberfi - Roman Solomatin - Sam Xifaras - Shantanu - Spencer Brown - Srinivas Lade - Tamir Duberstein - youkaichao I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.9 We’ve just uploaded mypy 1.9 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Breaking Changes Because the version of typeshed we use in mypy 1.9 doesn't support 3.7, neither does mypy 1.9. (Jared Hance, PR [16883](https://github.com/python/mypy/pull/16883)) We are planning to enable [local partial types](https://mypy.readthedocs.io/en/stable/command_line.html#cmdoption-mypy-local-partial-types) (enabled via the `--local-partial-types` flag) later this year by default. This change was announced years ago, but now it's finally happening. This is a major backward-incompatible change, so we'll probably include it as part of the upcoming mypy 2.0 release. This makes daemon and non-daemon mypy runs have the same behavior by default. Local partial types can also be enabled in the mypy config file: ``` local_partial_types = True ``` We are looking at providing a tool to make it easier to migrate projects to use `--local-partial-types`, but it's not yet clear whether this is practical. The migration usually involves adding some explicit type annotations to module-level and class-level variables. ### Basic Support for Type Parameter Defaults (PEP 696) This release contains new experimental support for type parameter defaults ([PEP 696](https://peps.python.org/pep-0696)). Please try it out! This feature was contributed by Marc Mueller. Since this feature will be officially introduced in the next Python feature release (3.13), you will need to import `TypeVar`, `ParamSpec` or `TypeVarTuple` from `typing_extensions` to use defaults for now. This example adapted from the PEP defines a default for `BotT`: ```python from typing import Generic from typing_extensions import TypeVar class Bot: ... BotT = TypeVar("BotT", bound=Bot, default=Bot) class Context(Generic[BotT]): bot: BotT class MyBot(Bot): ... # type is Bot (the default) reveal_type(Context().bot) # type is MyBot reveal_type(Context[MyBot]().bot) ``` ### Type-checking Improvements * Fix missing type store for overloads (Marc Mueller, PR [16803](https://github.com/python/mypy/pull/16803)) * Fix `'WriteToConn' object has no attribute 'flush'` (Charlie Denton, PR [16801](https://github.com/python/mypy/pull/16801)) * Improve TypeAlias error messages (Marc Mueller, PR [16831](https://github.com/python/mypy/pull/16831)) * Support narrowing unions that include `type[None]` (Christoph Tyralla, PR [16315](https://github.com/python/mypy/pull/16315)) * Support TypedDict functional syntax as class base type (anniel-stripe, PR [16703](https://github.com/python/mypy/pull/16703)) * Accept multiline quoted annotations (Shantanu, PR [16765](https://github.com/python/mypy/pull/16765)) * Allow unary + in `Literal` (Jelle Zijlstra, PR [16729](https://github.com/python/mypy/pull/16729)) * Substitute type variables in return type of static methods (Kouroche Bouchiat, PR [16670](https://github.com/python/mypy/pull/16670)) * Consider TypeVarTuple to be invariant (Marc Mueller, PR [16759](https://github.com/python/mypy/pull/16759)) * Add `alias` support to `field()` in `attrs` plugin (Nikita Sobolev, PR [16610](https://github.com/python/mypy/pull/16610)) * Improve attrs hashability detection (Tin Tvrtković, PR [16556](https://github.com/python/mypy/pull/16556)) ### Performance Improvements * Speed up finding function type variables (Jukka Lehtosalo, PR [16562](https://github.com/python/mypy/pull/16562)) ### Documentation Updates * Document supported values for `--enable-incomplete-feature` in "mypy --help" (Froger David, PR [16661](https://github.com/python/mypy/pull/16661)) * Update new type system discussion links (thomaswhaley, PR [16841](https://github.com/python/mypy/pull/16841)) * Add missing class instantiation to cheat sheet (Aleksi Tarvainen, PR [16817](https://github.com/python/mypy/pull/16817)) * Document how evil `--no-strict-optional` is (Shantanu, PR [16731](https://github.com/python/mypy/pull/16731)) * Improve mypy daemon documentation note about local partial types (Makonnen Makonnen, PR [16782](https://github.com/python/mypy/pull/16782)) * Fix numbering error (Stefanie Molin, PR [16838](https://github.com/python/mypy/pull/16838)) * Various documentation improvements (Shantanu, PR [16836](https://github.com/python/mypy/pull/16836)) ### Stubtest Improvements * Ignore private function/method parameters when they are missing from the stub (private parameter names start with a single underscore and have a default) (PR [16507](https://github.com/python/mypy/pull/16507)) * Ignore a new protocol dunder (Alex Waygood, PR [16895](https://github.com/python/mypy/pull/16895)) * Private parameters can be omitted (Sebastian Rittau, PR [16507](https://github.com/python/mypy/pull/16507)) * Add support for setting enum members to "..." (Jelle Zijlstra, PR [16807](https://github.com/python/mypy/pull/16807)) * Adjust symbol table logic (Shantanu, PR [16823](https://github.com/python/mypy/pull/16823)) * Fix posisitional-only handling in overload resolution (Shantanu, PR [16750](https://github.com/python/mypy/pull/16750)) ### Stubgen Improvements * Fix crash on star unpack of TypeVarTuple (Ali Hamdan, PR [16869](https://github.com/python/mypy/pull/16869)) * Use PEP 604 unions everywhere (Ali Hamdan, PR [16519](https://github.com/python/mypy/pull/16519)) * Do not ignore property deleter (Ali Hamdan, PR [16781](https://github.com/python/mypy/pull/16781)) * Support type stub generation for `staticmethod` (WeilerMarcel, PR [14934](https://github.com/python/mypy/pull/14934)) ### Acknowledgements ​Thanks to all mypy contributors who contributed to this release: - Aleksi Tarvainen - Alex Waygood - Ali Hamdan - anniel-stripe - Charlie Denton - Christoph Tyralla - Dheeraj - Fabian Keller - Fabian Lewis - Froger David - Ihor - Jared Hance - Jelle Zijlstra - Jukka Lehtosalo - Kouroche Bouchiat - Lukas Geiger - Maarten Huijsmans - Makonnen Makonnen - Marc Mueller - Nikita Sobolev - Sebastian Rittau - Shantanu - Stefanie Molin - Stephen Morton - thomaswhaley - Tin Tvrtković - WeilerMarcel - Wesley Collin Wright - zipperer I’d also like to thank my employer, Dropbox, for supporting mypy development. ## Mypy 1.8 We’ve just uploaded mypy 1.8 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Type-checking Improvements * Do not intersect types in isinstance checks if at least one is final (Christoph Tyralla, PR [16330](https://github.com/python/mypy/pull/16330)) * Detect that `@final` class without `__bool__` cannot have falsey instances (Ilya Priven, PR [16566](https://github.com/python/mypy/pull/16566)) * Do not allow `TypedDict` classes with extra keywords (Nikita Sobolev, PR [16438](https://github.com/python/mypy/pull/16438)) * Do not allow class-level keywords for `NamedTuple` (Nikita Sobolev, PR [16526](https://github.com/python/mypy/pull/16526)) * Make imprecise constraints handling more robust (Ivan Levkivskyi, PR [16502](https://github.com/python/mypy/pull/16502)) * Fix strict-optional in extending generic TypedDict (Ivan Levkivskyi, PR [16398](https://github.com/python/mypy/pull/16398)) * Allow type ignores of PEP 695 constructs (Shantanu, PR [16608](https://github.com/python/mypy/pull/16608)) * Enable `type_check_only` support for `TypedDict` and `NamedTuple` (Nikita Sobolev, PR [16469](https://github.com/python/mypy/pull/16469)) ### Performance Improvements * Add fast path to analyzing special form assignments (Jukka Lehtosalo, PR [16561](https://github.com/python/mypy/pull/16561)) ### Improvements to Error Reporting * Don't show documentation links for plugin error codes (Ivan Levkivskyi, PR [16383](https://github.com/python/mypy/pull/16383)) * Improve error messages for `super` checks and add more tests (Nikita Sobolev, PR [16393](https://github.com/python/mypy/pull/16393)) * Add error code for mutable covariant override (Ivan Levkivskyi, PR [16399](https://github.com/python/mypy/pull/16399)) ### Stubgen Improvements * Preserve simple defaults in function signatures (Ali Hamdan, PR [15355](https://github.com/python/mypy/pull/15355)) * Include `__all__` in output (Jelle Zijlstra, PR [16356](https://github.com/python/mypy/pull/16356)) * Fix stubgen regressions with pybind11 and mypy 1.7 (Chad Dombrova, PR [16504](https://github.com/python/mypy/pull/16504)) ### Stubtest Improvements * Improve handling of unrepresentable defaults (Jelle Zijlstra, PR [16433](https://github.com/python/mypy/pull/16433)) * Print more helpful errors if a function is missing from stub (Alex Waygood, PR [16517](https://github.com/python/mypy/pull/16517)) * Support `@type_check_only` decorator (Nikita Sobolev, PR [16422](https://github.com/python/mypy/pull/16422)) * Warn about missing `__del__` (Shantanu, PR [16456](https://github.com/python/mypy/pull/16456)) * Fix crashes with some uses of `final` and `deprecated` (Shantanu, PR [16457](https://github.com/python/mypy/pull/16457)) ### Fixes to Crashes * Fix crash with type alias to `Callable[[Unpack[Tuple[Any, ...]]], Any]` (Alex Waygood, PR [16541](https://github.com/python/mypy/pull/16541)) * Fix crash on TypeGuard in `__call__` (Ivan Levkivskyi, PR [16516](https://github.com/python/mypy/pull/16516)) * Fix crash on invalid enum in method (Ivan Levkivskyi, PR [16511](https://github.com/python/mypy/pull/16511)) * Fix crash on unimported Any in TypedDict (Ivan Levkivskyi, PR [16510](https://github.com/python/mypy/pull/16510)) ### Documentation Updates * Update soft-error-limit default value to -1 (Sveinung Gundersen, PR [16542](https://github.com/python/mypy/pull/16542)) * Support Sphinx 7.x (Michael R. Crusoe, PR [16460](https://github.com/python/mypy/pull/16460)) ### Other Notable Changes and Fixes * Allow mypy to output a junit file with per-file results (Matthew Wright, PR [16388](https://github.com/python/mypy/pull/16388)) ### Typeshed Updates Please see [git log](https://github.com/python/typeshed/commits/main?after=4a854366e03dee700109f8e758a08b2457ea2f51+0&branch=main&path=stdlib) for full list of standard library typeshed stub changes. ### Acknowledgements ​Thanks to all mypy contributors who contributed to this release: - Alex Waygood - Ali Hamdan - Chad Dombrova - Christoph Tyralla - Ilya Priven - Ivan Levkivskyi - Jelle Zijlstra - Jukka Lehtosalo - Marcel Telka - Matthew Wright - Michael R. Crusoe - Nikita Sobolev - Ole Peder Brandtzæg - robjhornby - Shantanu - Sveinung Gundersen - Valentin Stanciu I’d also like to thank my employer, Dropbox, for supporting mypy development. Posted by Wesley Collin Wright ## Mypy 1.7 We’ve just uploaded mypy 1.7 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Using TypedDict for `**kwargs` Typing Mypy now has support for using `Unpack[...]` with a TypedDict type to annotate `**kwargs` arguments enabled by default. Example: ```python # Or 'from typing_extensions import ...' from typing import TypedDict, Unpack class Person(TypedDict): name: str age: int def foo(**kwargs: Unpack[Person]) -> None: ... foo(name="x", age=1) # Ok foo(name=1) # Error ``` The definition of `foo` above is equivalent to the one below, with keyword-only arguments `name` and `age`: ```python def foo(*, name: str, age: int) -> None: ... ``` Refer to [PEP 692](https://peps.python.org/pep-0692/) for more information. Note that unlike in the current version of the PEP, mypy always treats signatures with `Unpack[SomeTypedDict]` as equivalent to their expanded forms with explicit keyword arguments, and there aren't special type checking rules for TypedDict arguments. This was contributed by Ivan Levkivskyi back in 2022 (PR [13471](https://github.com/python/mypy/pull/13471)). ### TypeVarTuple Support Enabled (Experimental) Mypy now has support for variadic generics (TypeVarTuple) enabled by default, as an experimental feature. Refer to [PEP 646](https://peps.python.org/pep-0646/) for the details. TypeVarTuple was implemented by Jared Hance and Ivan Levkivskyi over several mypy releases, with help from Jukka Lehtosalo. Changes included in this release: * Fix handling of tuple type context with unpacks (Ivan Levkivskyi, PR [16444](https://github.com/python/mypy/pull/16444)) * Handle TypeVarTuples when checking overload constraints (robjhornby, PR [16428](https://github.com/python/mypy/pull/16428)) * Enable Unpack/TypeVarTuple support (Ivan Levkivskyi, PR [16354](https://github.com/python/mypy/pull/16354)) * Fix crash on unpack call special-casing (Ivan Levkivskyi, PR [16381](https://github.com/python/mypy/pull/16381)) * Some final touches for variadic types support (Ivan Levkivskyi, PR [16334](https://github.com/python/mypy/pull/16334)) * Support PEP-646 and PEP-692 in the same callable (Ivan Levkivskyi, PR [16294](https://github.com/python/mypy/pull/16294)) * Support new `*` syntax for variadic types (Ivan Levkivskyi, PR [16242](https://github.com/python/mypy/pull/16242)) * Correctly handle variadic instances with empty arguments (Ivan Levkivskyi, PR [16238](https://github.com/python/mypy/pull/16238)) * Correctly handle runtime type applications of variadic types (Ivan Levkivskyi, PR [16240](https://github.com/python/mypy/pull/16240)) * Support variadic tuple packing/unpacking (Ivan Levkivskyi, PR [16205](https://github.com/python/mypy/pull/16205)) * Better support for variadic calls and indexing (Ivan Levkivskyi, PR [16131](https://github.com/python/mypy/pull/16131)) * Subtyping and inference of user-defined variadic types (Ivan Levkivskyi, PR [16076](https://github.com/python/mypy/pull/16076)) * Complete type analysis of variadic types (Ivan Levkivskyi, PR [15991](https://github.com/python/mypy/pull/15991)) ### New Way of Installing Mypyc Dependencies If you want to install package dependencies needed by mypyc (not just mypy), you should now install `mypy[mypyc]` instead of just `mypy`: ``` python3 -m pip install -U 'mypy[mypyc]' ``` Mypy has many more users than mypyc, so always installing mypyc dependencies would often bring unnecessary dependencies. This change was contributed by Shantanu (PR [16229](https://github.com/python/mypy/pull/16229)). ### New Rules for Re-exports Mypy no longer considers an import such as `import a.b as b` as an explicit re-export. The old behavior was arguably inconsistent and surprising. This may impact some stub packages, such as older versions of `types-six`. You can change the import to `from a import b as b`, if treating the import as a re-export was intentional. This change was contributed by Anders Kaseorg (PR [14086](https://github.com/python/mypy/pull/14086)). ### Improved Type Inference The new type inference algorithm that was recently introduced to mypy (but was not enabled by default) is now enabled by default. It improves type inference of calls to generic callables where an argument is also a generic callable, in particular. You can use `--old-type-inference` to disable the new behavior. The new algorithm can (rarely) produce different error messages, different error codes, or errors reported on different lines. This is more likely in cases where generic types were used incorrectly. The new type inference algorithm was contributed by Ivan Levkivskyi. PR [16345](https://github.com/python/mypy/pull/16345) enabled it by default. ### Narrowing Tuple Types Using len() Mypy now can narrow tuple types using `len()` checks. Example: ```python def f(t: tuple[int, int] | tuple[int, int, int]) -> None: if len(t) == 2: a, b = t # Ok ... ``` This feature was contributed by Ivan Levkivskyi (PR [16237](https://github.com/python/mypy/pull/16237)). ### More Precise Tuple Lengths (Experimental) Mypy supports experimental, more precise checking of tuple type lengths through `--enable-incomplete-feature=PreciseTupleTypes`. Refer to the [documentation](https://mypy.readthedocs.io/en/latest/command_line.html#enabling-incomplete-experimental-features) for more information. More generally, we are planning to use `--enable-incomplete-feature` to introduce experimental features that would benefit from community feedback. This feature was contributed by Ivan Levkivskyi (PR [16237](https://github.com/python/mypy/pull/16237)). ### Mypy Changelog We now maintain a [changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md) in the mypy Git repository. It mirrors the contents of [mypy release blog posts](https://mypy-lang.blogspot.com/). We will continue to also publish release blog posts. In the future, release blog posts will be created based on the changelog near a release date. This was contributed by Shantanu (PR [16280](https://github.com/python/mypy/pull/16280)). ### Mypy Daemon Improvements * Fix daemon crash caused by deleted submodule (Jukka Lehtosalo, PR [16370](https://github.com/python/mypy/pull/16370)) * Fix file reloading in dmypy with --export-types (Ivan Levkivskyi, PR [16359](https://github.com/python/mypy/pull/16359)) * Fix dmypy inspect on Windows (Ivan Levkivskyi, PR [16355](https://github.com/python/mypy/pull/16355)) * Fix dmypy inspect for namespace packages (Ivan Levkivskyi, PR [16357](https://github.com/python/mypy/pull/16357)) * Fix return type change to optional in generic function (Jukka Lehtosalo, PR [16342](https://github.com/python/mypy/pull/16342)) * Fix daemon false positives related to module-level `__getattr__` (Jukka Lehtosalo, PR [16292](https://github.com/python/mypy/pull/16292)) * Fix daemon crash related to ABCs (Jukka Lehtosalo, PR [16275](https://github.com/python/mypy/pull/16275)) * Stream dmypy output instead of dumping everything at the end (Valentin Stanciu, PR [16252](https://github.com/python/mypy/pull/16252)) * Make sure all dmypy errors are shown (Valentin Stanciu, PR [16250](https://github.com/python/mypy/pull/16250)) ### Mypyc Improvements * Generate error on duplicate function definitions (Jukka Lehtosalo, PR [16309](https://github.com/python/mypy/pull/16309)) * Don't crash on unreachable statements (Jukka Lehtosalo, PR [16311](https://github.com/python/mypy/pull/16311)) * Avoid cyclic reference in nested functions (Jukka Lehtosalo, PR [16268](https://github.com/python/mypy/pull/16268)) * Fix direct `__dict__` access on inner functions in new Python (Shantanu, PR [16084](https://github.com/python/mypy/pull/16084)) * Make tuple packing and unpacking more efficient (Jukka Lehtosalo, PR [16022](https://github.com/python/mypy/pull/16022)) ### Improvements to Error Reporting * Update starred expression error message to match CPython (Cibin Mathew, PR [16304](https://github.com/python/mypy/pull/16304)) * Fix error code of "Maybe you forgot to use await" note (Jelle Zijlstra, PR [16203](https://github.com/python/mypy/pull/16203)) * Use error code `[unsafe-overload]` for unsafe overloads, instead of `[misc]` (Randolf Scholz, PR [16061](https://github.com/python/mypy/pull/16061)) * Reword the error message related to void functions (Albert Tugushev, PR [15876](https://github.com/python/mypy/pull/15876)) * Represent bottom type as Never in messages (Shantanu, PR [15996](https://github.com/python/mypy/pull/15996)) * Add hint for AsyncIterator incompatible return type (Ilya Priven, PR [15883](https://github.com/python/mypy/pull/15883)) * Don't suggest stubs packages where the runtime package now ships with types (Alex Waygood, PR [16226](https://github.com/python/mypy/pull/16226)) ### Performance Improvements * Speed up type argument checking (Jukka Lehtosalo, PR [16353](https://github.com/python/mypy/pull/16353)) * Add fast path for checking self types (Jukka Lehtosalo, PR [16352](https://github.com/python/mypy/pull/16352)) * Cache information about whether file is typeshed file (Jukka Lehtosalo, PR [16351](https://github.com/python/mypy/pull/16351)) * Skip expensive `repr()` in logging call when not needed (Jukka Lehtosalo, PR [16350](https://github.com/python/mypy/pull/16350)) ### Attrs and Dataclass Improvements * `dataclass.replace`: Allow transformed classes (Ilya Priven, PR [15915](https://github.com/python/mypy/pull/15915)) * `dataclass.replace`: Fall through to typeshed signature (Ilya Priven, PR [15962](https://github.com/python/mypy/pull/15962)) * Document `dataclass_transform` behavior (Ilya Priven, PR [16017](https://github.com/python/mypy/pull/16017)) * `attrs`: Remove fields type check (Ilya Priven, PR [15983](https://github.com/python/mypy/pull/15983)) * `attrs`, `dataclasses`: Don't enforce slots when base class doesn't (Ilya Priven, PR [15976](https://github.com/python/mypy/pull/15976)) * Fix crash on dataclass field / property collision (Nikita Sobolev, PR [16147](https://github.com/python/mypy/pull/16147)) ### Stubgen Improvements * Write stubs with utf-8 encoding (Jørgen Lind, PR [16329](https://github.com/python/mypy/pull/16329)) * Fix missing property setter in semantic analysis mode (Ali Hamdan, PR [16303](https://github.com/python/mypy/pull/16303)) * Unify C extension and pure python stub generators with object oriented design (Chad Dombrova, PR [15770](https://github.com/python/mypy/pull/15770)) * Multiple fixes to the generated imports (Ali Hamdan, PR [15624](https://github.com/python/mypy/pull/15624)) * Generate valid dataclass stubs (Ali Hamdan, PR [15625](https://github.com/python/mypy/pull/15625)) ### Fixes to Crashes * Fix incremental mode crash on TypedDict in method (Ivan Levkivskyi, PR [16364](https://github.com/python/mypy/pull/16364)) * Fix crash on star unpack in TypedDict (Ivan Levkivskyi, PR [16116](https://github.com/python/mypy/pull/16116)) * Fix crash on malformed TypedDict in incremental mode (Ivan Levkivskyi, PR [16115](https://github.com/python/mypy/pull/16115)) * Fix crash with report generation on namespace packages (Shantanu, PR [16019](https://github.com/python/mypy/pull/16019)) * Fix crash when parsing error code config with typo (Shantanu, PR [16005](https://github.com/python/mypy/pull/16005)) * Fix `__post_init__()` internal error (Ilya Priven, PR [16080](https://github.com/python/mypy/pull/16080)) ### Documentation Updates * Make it easier to copy commands from README (Hamir Mahal, PR [16133](https://github.com/python/mypy/pull/16133)) * Document and rename `[overload-overlap]` error code (Shantanu, PR [16074](https://github.com/python/mypy/pull/16074)) * Document `--force-uppercase-builtins` and `--force-union-syntax` (Nikita Sobolev, PR [16049](https://github.com/python/mypy/pull/16049)) * Document `force_union_syntax` and `force_uppercase_builtins` (Nikita Sobolev, PR [16048](https://github.com/python/mypy/pull/16048)) * Document we're not tracking relationships between symbols (Ilya Priven, PR [16018](https://github.com/python/mypy/pull/16018)) ### Other Notable Changes and Fixes * Propagate narrowed types to lambda expressions (Ivan Levkivskyi, PR [16407](https://github.com/python/mypy/pull/16407)) * Avoid importing from `setuptools._distutils` (Shantanu, PR [16348](https://github.com/python/mypy/pull/16348)) * Delete recursive aliases flags (Ivan Levkivskyi, PR [16346](https://github.com/python/mypy/pull/16346)) * Properly use proper subtyping for callables (Ivan Levkivskyi, PR [16343](https://github.com/python/mypy/pull/16343)) * Use upper bound as inference fallback more consistently (Ivan Levkivskyi, PR [16344](https://github.com/python/mypy/pull/16344)) * Add `[unimported-reveal]` error code (Nikita Sobolev, PR [16271](https://github.com/python/mypy/pull/16271)) * Add `|=` and `|` operators support for `TypedDict` (Nikita Sobolev, PR [16249](https://github.com/python/mypy/pull/16249)) * Clarify variance convention for Parameters (Ivan Levkivskyi, PR [16302](https://github.com/python/mypy/pull/16302)) * Correctly recognize `typing_extensions.NewType` (Ganden Schaffner, PR [16298](https://github.com/python/mypy/pull/16298)) * Fix partially defined in the case of missing type maps (Shantanu, PR [15995](https://github.com/python/mypy/pull/15995)) * Use SPDX license identifier (Nikita Sobolev, PR [16230](https://github.com/python/mypy/pull/16230)) * Make `__qualname__` and `__module__` available in class bodies (Anthony Sottile, PR [16215](https://github.com/python/mypy/pull/16215)) * stubtest: Hint when args in stub need to be keyword-only (Alex Waygood, PR [16210](https://github.com/python/mypy/pull/16210)) * Tuple slice should not propagate fallback (Thomas Grainger, PR [16154](https://github.com/python/mypy/pull/16154)) * Fix cases of type object handling for overloads (Shantanu, PR [16168](https://github.com/python/mypy/pull/16168)) * Fix walrus interaction with empty collections (Ivan Levkivskyi, PR [16197](https://github.com/python/mypy/pull/16197)) * Use type variable bound when it appears as actual during inference (Ivan Levkivskyi, PR [16178](https://github.com/python/mypy/pull/16178)) * Use upper bounds as fallback solutions for inference (Ivan Levkivskyi, PR [16184](https://github.com/python/mypy/pull/16184)) * Special-case type inference of empty collections (Ivan Levkivskyi, PR [16122](https://github.com/python/mypy/pull/16122)) * Allow TypedDict unpacking in Callable types (Ivan Levkivskyi, PR [16083](https://github.com/python/mypy/pull/16083)) * Fix inference for overloaded `__call__` with generic self (Shantanu, PR [16053](https://github.com/python/mypy/pull/16053)) * Call dynamic class hook on generic classes (Petter Friberg, PR [16052](https://github.com/python/mypy/pull/16052)) * Preserve implicitly exported types via attribute access (Shantanu, PR [16129](https://github.com/python/mypy/pull/16129)) * Fix a stubtest bug (Alex Waygood) * Fix `tuple[Any, ...]` subtyping (Shantanu, PR [16108](https://github.com/python/mypy/pull/16108)) * Lenient handling of trivial Callable suffixes (Ivan Levkivskyi, PR [15913](https://github.com/python/mypy/pull/15913)) * Add `add_overloaded_method_to_class` helper for plugins (Nikita Sobolev, PR [16038](https://github.com/python/mypy/pull/16038)) * Bundle `misc/proper_plugin.py` as a part of `mypy` (Nikita Sobolev, PR [16036](https://github.com/python/mypy/pull/16036)) * Fix `case Any()` in match statement (DS/Charlie, PR [14479](https://github.com/python/mypy/pull/14479)) * Make iterable logic more consistent (Shantanu, PR [16006](https://github.com/python/mypy/pull/16006)) * Fix inference for properties with `__call__` (Shantanu, PR [15926](https://github.com/python/mypy/pull/15926)) ### Typeshed Updates Please see [git log](https://github.com/python/typeshed/commits/main?after=4a854366e03dee700109f8e758a08b2457ea2f51+0&branch=main&path=stdlib) for full list of standard library typeshed stub changes. ### Acknowledgements Thanks to all mypy contributors who contributed to this release: * Albert Tugushev * Alex Waygood * Ali Hamdan * Anders Kaseorg * Anthony Sottile * Chad Dombrova * Cibin Mathew * dinaldoap * DS/Charlie * Eli Schwartz * Ganden Schaffner * Hamir Mahal * Ihor * Ikko Eltociear Ashimine * Ilya Priven * Ivan Levkivskyi * Jelle Zijlstra * Jukka Lehtosalo * Jørgen Lind * KotlinIsland * Matt Bogosian * Nikita Sobolev * Petter Friberg * Randolf Scholz * Shantanu * Thomas Grainger * Valentin Stanciu I’d also like to thank my employer, Dropbox, for supporting mypy development. Posted by Jukka Lehtosalo ## Mypy 1.6 [Tuesday, 10 October 2023](https://mypy-lang.blogspot.com/2023/10/mypy-16-released.html) We’ve just uploaded mypy 1.6 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Introduce Error Subcodes for Import Errors Mypy now uses the error code import-untyped if an import targets an installed library that doesn’t support static type checking, and no stub files are available. Other invalid imports produce the import-not-found error code. They both are subcodes of the import error code, which was previously used for both kinds of import-related errors. Use \--disable-error-code=import-untyped to only ignore import errors about installed libraries without stubs. This way mypy will still report errors about typos in import statements, for example. If you use \--warn-unused-ignore or \--strict, mypy will complain if you use \# type: ignore\[import\] to ignore an import error. You are expected to use one of the more specific error codes instead. Otherwise, ignoring the import error code continues to silence both errors. This feature was contributed by Shantanu (PR [15840](https://github.com/python/mypy/pull/15840), PR [14740](https://github.com/python/mypy/pull/14740)). ### Remove Support for Targeting Python 3.6 and Earlier Running mypy with \--python-version 3.6, for example, is no longer supported. Python 3.6 hasn’t been properly supported by mypy for some time now, and this makes it explicit. This was contributed by Nikita Sobolev (PR [15668](https://github.com/python/mypy/pull/15668)). ### Selective Filtering of \--disallow-untyped-calls Targets Using \--disallow-untyped-calls could be annoying when using libraries with missing type information, as mypy would generate many errors about code that uses the library. Now you can use \--untyped-calls-exclude=acme, for example, to disable these errors about calls targeting functions defined in the acme package. Refer to the [documentation](https://mypy.readthedocs.io/en/latest/command_line.html#cmdoption-mypy-untyped-calls-exclude) for more information. This feature was contributed by Ivan Levkivskyi (PR [15845](https://github.com/python/mypy/pull/15845)). ### Improved Type Inference between Callable Types Mypy now does a better job inferring type variables inside arguments of callable types. For example, this code fragment now type checks correctly: ```python def f(c: Callable[[T, S], None]) -> Callable[[str, T, S], None]: ... def g(*x: int) -> None: ... reveal_type(f(g)) # Callable[[str, int, int], None] ``` This was contributed by Ivan Levkivskyi (PR [15910](https://github.com/python/mypy/pull/15910)). ### Don’t Consider None and TypeVar to Overlap in Overloads Mypy now doesn’t consider an overload item with an argument type None to overlap with a type variable: ```python @overload def f(x: None) -> None: .. @overload def f(x: T) -> Foo[T]: ... ... ``` Previously mypy would generate an error about the definition of f above. This is slightly unsafe if the upper bound of T is object, since the value of the type variable could be None. We relaxed the rules a little, since this solves a common issue. This feature was contributed by Ivan Levkivskyi (PR [15846](https://github.com/python/mypy/pull/15846)). ### Improvements to \--new-type-inference The experimental new type inference algorithm (polymorphic inference) introduced as an opt-in feature in mypy 1.5 has several improvements: * Improve transitive closure computation during constraint solving (Ivan Levkivskyi, PR [15754](https://github.com/python/mypy/pull/15754)) * Add support for upper bounds and values with \--new-type-inference (Ivan Levkivskyi, PR [15813](https://github.com/python/mypy/pull/15813)) * Basic support for variadic types with \--new-type-inference (Ivan Levkivskyi, PR [15879](https://github.com/python/mypy/pull/15879)) * Polymorphic inference: support for parameter specifications and lambdas (Ivan Levkivskyi, PR [15837](https://github.com/python/mypy/pull/15837)) * Invalidate cache when adding \--new-type-inference (Marc Mueller, PR [16059](https://github.com/python/mypy/pull/16059)) **Note:** We are planning to enable \--new-type-inference by default in mypy 1.7. Please try this out and let us know if you encounter any issues. ### ParamSpec Improvements * Support self-types containing ParamSpec (Ivan Levkivskyi, PR [15903](https://github.com/python/mypy/pull/15903)) * Allow “…” in Concatenate, and clean up ParamSpec literals (Ivan Levkivskyi, PR [15905](https://github.com/python/mypy/pull/15905)) * Fix ParamSpec inference for callback protocols (Ivan Levkivskyi, PR [15986](https://github.com/python/mypy/pull/15986)) * Infer ParamSpec constraint from arguments (Ivan Levkivskyi, PR [15896](https://github.com/python/mypy/pull/15896)) * Fix crash on invalid type variable with ParamSpec (Ivan Levkivskyi, PR [15953](https://github.com/python/mypy/pull/15953)) * Fix subtyping between ParamSpecs (Ivan Levkivskyi, PR [15892](https://github.com/python/mypy/pull/15892)) ### Stubgen Improvements * Add option to include docstrings with stubgen (chylek, PR [13284](https://github.com/python/mypy/pull/13284)) * Add required ... initializer to NamedTuple fields with default values (Nikita Sobolev, PR [15680](https://github.com/python/mypy/pull/15680)) ### Stubtest Improvements * Fix \_\_mypy-replace false positives (Alex Waygood, PR [15689](https://github.com/python/mypy/pull/15689)) * Fix edge case for bytes enum subclasses (Alex Waygood, PR [15943](https://github.com/python/mypy/pull/15943)) * Generate error if typeshed is missing modules from the stdlib (Alex Waygood, PR [15729](https://github.com/python/mypy/pull/15729)) * Fixes to new check for missing stdlib modules (Alex Waygood, PR [15960](https://github.com/python/mypy/pull/15960)) * Fix stubtest enum.Flag edge case (Alex Waygood, PR [15933](https://github.com/python/mypy/pull/15933)) ### Documentation Improvements * Do not advertise to create your own assert\_never helper (Nikita Sobolev, PR [15947](https://github.com/python/mypy/pull/15947)) * Fix all the missing references found within the docs (Albert Tugushev, PR [15875](https://github.com/python/mypy/pull/15875)) * Document await-not-async error code (Shantanu, PR [15858](https://github.com/python/mypy/pull/15858)) * Improve documentation of disabling error codes (Shantanu, PR [15841](https://github.com/python/mypy/pull/15841)) ### Other Notable Changes and Fixes * Make unsupported PEP 695 features (introduced in Python 3.12) give a reasonable error message (Shantanu, PR [16013](https://github.com/python/mypy/pull/16013)) * Remove the \--py2 command-line argument (Marc Mueller, PR [15670](https://github.com/python/mypy/pull/15670)) * Change empty tuple from tuple\[\] to tuple\[()\] in error messages (Nikita Sobolev, PR [15783](https://github.com/python/mypy/pull/15783)) * Fix assert\_type failures when some nodes are deferred (Nikita Sobolev, PR [15920](https://github.com/python/mypy/pull/15920)) * Generate error on unbound TypeVar with values (Nikita Sobolev, PR [15732](https://github.com/python/mypy/pull/15732)) * Fix over-eager types-google-cloud-ndb suggestion (Shantanu, PR [15347](https://github.com/python/mypy/pull/15347)) * Fix type narrowing of \== None and in (None,) conditions (Marti Raudsepp, PR [15760](https://github.com/python/mypy/pull/15760)) * Fix inference for attrs.fields (Shantanu, PR [15688](https://github.com/python/mypy/pull/15688)) * Make “await in non-async function” a non-blocking error and give it an error code (Gregory Santosa, PR [15384](https://github.com/python/mypy/pull/15384)) * Add basic support for decorated overloads (Ivan Levkivskyi, PR [15898](https://github.com/python/mypy/pull/15898)) * Fix TypeVar regression with self types (Ivan Levkivskyi, PR [15945](https://github.com/python/mypy/pull/15945)) * Add \_\_match\_args\_\_ to dataclasses with no fields (Ali Hamdan, PR [15749](https://github.com/python/mypy/pull/15749)) * Include stdout and stderr in dmypy verbose output (Valentin Stanciu, PR [15881](https://github.com/python/mypy/pull/15881)) * Improve match narrowing and reachability analysis (Shantanu, PR [15882](https://github.com/python/mypy/pull/15882)) * Support \_\_bool\_\_ with Literal in \--warn-unreachable (Jannic Warken, PR [15645](https://github.com/python/mypy/pull/15645)) * Fix inheriting from generic @frozen attrs class (Ilya Priven, PR [15700](https://github.com/python/mypy/pull/15700)) * Correctly narrow types for tuple\[type\[X\], ...\] (Nikita Sobolev, PR [15691](https://github.com/python/mypy/pull/15691)) * Don't flag intentionally empty generators unreachable (Ilya Priven, PR [15722](https://github.com/python/mypy/pull/15722)) * Add tox.ini to mypy sdist (Marcel Telka, PR [15853](https://github.com/python/mypy/pull/15853)) * Fix mypyc regression with pretty (Shantanu, PR [16124](https://github.com/python/mypy/pull/16124)) ### Typeshed Updates Typeshed is now modular and distributed as separate PyPI packages for everything except the standard library stubs. Please see [git log](https://github.com/python/typeshed/commits/main?after=6a8d653a671925b0a3af61729ff8cf3f90c9c662+0&branch=main&path=stdlib) for full list of typeshed changes. ### Acknowledgements Thanks to Max Murin, who did most of the release manager work for this release (I just did the final steps). Thanks to all mypy contributors who contributed to this release: * Albert Tugushev * Alex Waygood * Ali Hamdan * chylek * EXPLOSION * Gregory Santosa * Ilya Priven * Ivan Levkivskyi * Jannic Warken * KotlinIsland * Marc Mueller * Marcel Johannesmann * Marcel Telka * Mark Byrne * Marti Raudsepp * Max Murin * Nikita Sobolev * Shantanu * Valentin Stanciu Posted by Jukka Lehtosalo ## Mypy 1.5 [Thursday, 10 August 2023](https://mypy-lang.blogspot.com/2023/08/mypy-15-released.html) We’ve just uploaded mypy 1.5 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, deprecations and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Drop Support for Python 3.7 Mypy no longer supports running with Python 3.7, which has reached end-of-life. This was contributed by Shantanu (PR [15566](https://github.com/python/mypy/pull/15566)). ### Optional Check to Require Explicit @override If you enable the explicit-override error code, mypy will generate an error if a method override doesn’t use the @typing.override decorator (as discussed in [PEP 698](https://peps.python.org/pep-0698/#strict-enforcement-per-project)). This way mypy will detect accidentally introduced overrides. Example: ```python # mypy: enable-error-code="explicit-override" from typing_extensions import override class C: def foo(self) -> None: pass def bar(self) -> None: pass class D(C): # Error: Method "foo" is not using @override but is # overriding a method def foo(self) -> None: ... @override def bar(self) -> None: # OK ... ``` You can enable the error code via \--enable-error-code=explicit-override on the mypy command line or enable\_error\_code = explicit-override in the mypy config file. The override decorator will be available in typing in Python 3.12, but you can also use the backport from a recent version of `typing_extensions` on all supported Python versions. This feature was contributed by Marc Mueller(PR [15512](https://github.com/python/mypy/pull/15512)). ### More Flexible TypedDict Creation and Update Mypy was previously overly strict when type checking TypedDict creation and update operations. Though these checks were often technically correct, they sometimes triggered for apparently valid code. These checks have now been relaxed by default. You can enable stricter checking by using the new \--extra-checks flag. Construction using the `**` syntax is now more flexible: ```python from typing import TypedDict class A(TypedDict): foo: int bar: int class B(TypedDict): foo: int a: A = {"foo": 1, "bar": 2} b: B = {"foo": 3} a2: A = { **a, **b} # OK (previously an error) ``` You can also call update() with a TypedDict argument that contains a subset of the keys in the updated TypedDict: ```python a.update(b) # OK (previously an error) ``` This feature was contributed by Ivan Levkivskyi (PR [15425](https://github.com/python/mypy/pull/15425)). ### Deprecated Flag: \--strict-concatenate The behavior of \--strict-concatenate is now included in the new \--extra-checks flag, and the old flag is deprecated. ### Optionally Show Links to Error Code Documentation If you use \--show-error-code-links, mypy will add documentation links to (many) reported errors. The links are not shown for error messages that are sufficiently obvious, and they are shown once per error code only. Example output: ``` a.py:1: error: Need type annotation for "foo" (hint: "x: List[] = ...") [var-annotated] a.py:1: note: See https://mypy.rtfd.io/en/stable/_refs.html#code-var-annotated for more info ``` This was contributed by Ivan Levkivskyi (PR [15449](https://github.com/python/mypy/pull/15449)). ### Consistently Avoid Type Checking Unreachable Code If a module top level has unreachable code, mypy won’t type check the unreachable statements. This is consistent with how functions behave. The behavior of \--warn-unreachable is also more consistent now. This was contributed by Ilya Priven (PR [15386](https://github.com/python/mypy/pull/15386)). ### Experimental Improved Type Inference for Generic Functions You can use \--new-type-inference to opt into an experimental new type inference algorithm. It fixes issues when calling a generic functions with an argument that is also a generic function, in particular. This current implementation is still incomplete, but we encourage trying it out and reporting bugs if you encounter regressions. We are planning to enable the new algorithm by default in a future mypy release. This feature was contributed by Ivan Levkivskyi (PR [15287](https://github.com/python/mypy/pull/15287)). ### Partial Support for Python 3.12 Mypy and mypyc now support running on recent Python 3.12 development versions. Not all new Python 3.12 features are supported, and we don’t ship compiled wheels for Python 3.12 yet. * Fix ast warnings for Python 3.12 (Nikita Sobolev, PR [15558](https://github.com/python/mypy/pull/15558)) * mypyc: Fix multiple inheritance with a protocol on Python 3.12 (Jukka Lehtosalo, PR [15572](https://github.com/python/mypy/pull/15572)) * mypyc: Fix self-compilation on Python 3.12 (Jukka Lehtosalo, PR [15582](https://github.com/python/mypy/pull/15582)) * mypyc: Fix 3.12 issue with pickling of instances with \_\_dict\_\_ (Jukka Lehtosalo, PR [15574](https://github.com/python/mypy/pull/15574)) * mypyc: Fix i16 on Python 3.12 (Jukka Lehtosalo, PR [15510](https://github.com/python/mypy/pull/15510)) * mypyc: Fix int operations on Python 3.12 (Jukka Lehtosalo, PR [15470](https://github.com/python/mypy/pull/15470)) * mypyc: Fix generators on Python 3.12 (Jukka Lehtosalo, PR [15472](https://github.com/python/mypy/pull/15472)) * mypyc: Fix classes with \_\_dict\_\_ on 3.12 (Jukka Lehtosalo, PR [15471](https://github.com/python/mypy/pull/15471)) * mypyc: Fix coroutines on Python 3.12 (Jukka Lehtosalo, PR [15469](https://github.com/python/mypy/pull/15469)) * mypyc: Don't use \_PyErr\_ChainExceptions on 3.12, since it's deprecated (Jukka Lehtosalo, PR [15468](https://github.com/python/mypy/pull/15468)) * mypyc: Add Python 3.12 feature macro (Jukka Lehtosalo, PR [15465](https://github.com/python/mypy/pull/15465)) ### Improvements to Dataclasses * Improve signature of dataclasses.replace (Ilya Priven, PR [14849](https://github.com/python/mypy/pull/14849)) * Fix dataclass/protocol crash on joining types (Ilya Priven, PR [15629](https://github.com/python/mypy/pull/15629)) * Fix strict optional handling in dataclasses (Ivan Levkivskyi, PR [15571](https://github.com/python/mypy/pull/15571)) * Support optional types for custom dataclass descriptors (Marc Mueller, PR [15628](https://github.com/python/mypy/pull/15628)) * Add `__slots__` attribute to dataclasses (Nikita Sobolev, PR [15649](https://github.com/python/mypy/pull/15649)) * Support better \_\_post\_init\_\_ method signature for dataclasses (Nikita Sobolev, PR [15503](https://github.com/python/mypy/pull/15503)) ### Mypyc Improvements * Support unsigned 8-bit native integer type: mypy\_extensions.u8 (Jukka Lehtosalo, PR [15564](https://github.com/python/mypy/pull/15564)) * Support signed 16-bit native integer type: mypy\_extensions.i16 (Jukka Lehtosalo, PR [15464](https://github.com/python/mypy/pull/15464)) * Define mypy\_extensions.i16 in stubs (Jukka Lehtosalo, PR [15562](https://github.com/python/mypy/pull/15562)) * Document more unsupported features and update supported features (Richard Si, PR [15524](https://github.com/python/mypy/pull/15524)) * Fix final NamedTuple classes (Richard Si, PR [15513](https://github.com/python/mypy/pull/15513)) * Use C99 compound literals for undefined tuple values (Jukka Lehtosalo, PR [15453](https://github.com/python/mypy/pull/15453)) * Don't explicitly assign NULL values in setup functions (Logan Hunt, PR [15379](https://github.com/python/mypy/pull/15379)) ### Stubgen Improvements * Teach stubgen to work with complex and unary expressions (Nikita Sobolev, PR [15661](https://github.com/python/mypy/pull/15661)) * Support ParamSpec and TypeVarTuple (Ali Hamdan, PR [15626](https://github.com/python/mypy/pull/15626)) * Fix crash on non-str docstring (Ali Hamdan, PR [15623](https://github.com/python/mypy/pull/15623)) ### Documentation Updates * Add documentation for additional error codes (Ivan Levkivskyi, PR [15539](https://github.com/python/mypy/pull/15539)) * Improve documentation of type narrowing (Ilya Priven, PR [15652](https://github.com/python/mypy/pull/15652)) * Small improvements to protocol documentation (Shantanu, PR [15460](https://github.com/python/mypy/pull/15460)) * Remove confusing instance variable example in cheat sheet (Adel Atallah, PR [15441](https://github.com/python/mypy/pull/15441)) ### Other Notable Fixes and Improvements * Constant fold additional unary and binary expressions (Richard Si, PR [15202](https://github.com/python/mypy/pull/15202)) * Exclude the same special attributes from Protocol as CPython (Kyle Benesch, PR [15490](https://github.com/python/mypy/pull/15490)) * Change the default value of the slots argument of attrs.define to True, to match runtime behavior (Ilya Priven, PR [15642](https://github.com/python/mypy/pull/15642)) * Fix type of class attribute if attribute is defined in both class and metaclass (Alex Waygood, PR [14988](https://github.com/python/mypy/pull/14988)) * Handle type the same as typing.Type in the first argument of classmethods (Erik Kemperman, PR [15297](https://github.com/python/mypy/pull/15297)) * Fix \--find-occurrences flag (Shantanu, PR [15528](https://github.com/python/mypy/pull/15528)) * Fix error location for class patterns (Nikita Sobolev, PR [15506](https://github.com/python/mypy/pull/15506)) * Fix re-added file with errors in mypy daemon (Ivan Levkivskyi, PR [15440](https://github.com/python/mypy/pull/15440)) * Fix dmypy run on Windows (Ivan Levkivskyi, PR [15429](https://github.com/python/mypy/pull/15429)) * Fix abstract and non-abstract variant error for property deleter (Shantanu, PR [15395](https://github.com/python/mypy/pull/15395)) * Remove special casing for "cannot" in error messages (Ilya Priven, PR [15428](https://github.com/python/mypy/pull/15428)) * Add runtime `__slots__` attribute to attrs classes (Nikita Sobolev, PR [15651](https://github.com/python/mypy/pull/15651)) * Add get\_expression\_type to CheckerPluginInterface (Ilya Priven, PR [15369](https://github.com/python/mypy/pull/15369)) * Remove parameters that no longer exist from NamedTuple.\_make() (Alex Waygood, PR [15578](https://github.com/python/mypy/pull/15578)) * Allow using typing.Self in `__all__` with an explicit @staticmethod decorator (Erik Kemperman, PR [15353](https://github.com/python/mypy/pull/15353)) * Fix self types in subclass methods without Self annotation (Ivan Levkivskyi, PR [15541](https://github.com/python/mypy/pull/15541)) * Check for abstract class objects in tuples (Nikita Sobolev, PR [15366](https://github.com/python/mypy/pull/15366)) ### Typeshed Updates Typeshed is now modular and distributed as separate PyPI packages for everything except the standard library stubs. Please see [git log](https://github.com/python/typeshed/commits/main?after=fc7d4722eaa54803926cee5730e1f784979c0531+0&branch=main&path=stdlib) for full list of typeshed changes. ### Acknowledgements Thanks to all mypy contributors who contributed to this release: * Adel Atallah * Alex Waygood * Ali Hamdan * Erik Kemperman * Federico Padua * Ilya Priven * Ivan Levkivskyi * Jelle Zijlstra * Jared Hance * Jukka Lehtosalo * Kyle Benesch * Logan Hunt * Marc Mueller * Nikita Sobolev * Richard Si * Shantanu * Stavros Ntentos * Valentin Stanciu Posted by Valentin Stanciu ## Mypy 1.4 [Tuesday, 20 June 2023](https://mypy-lang.blogspot.com/2023/06/mypy-140-released.html) We’ve just uploaded mypy 1.4 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### The Override Decorator Mypy can now ensure that when renaming a method, overrides are also renamed. You can explicitly mark a method as overriding a base class method by using the @typing.override decorator ([PEP 698](https://peps.python.org/pep-0698/)). If the method is then renamed in the base class while the method override is not, mypy will generate an error. The decorator will be available in typing in Python 3.12, but you can also use the backport from a recent version of `typing_extensions` on all supported Python versions. This feature was contributed byThomas M Kehrenberg (PR [14609](https://github.com/python/mypy/pull/14609)). ### Propagating Type Narrowing to Nested Functions Previously, type narrowing was not propagated to nested functions because it would not be sound if the narrowed variable changed between the definition of the nested function and the call site. Mypy will now propagate the narrowed type if the variable is not assigned to after the definition of the nested function: ```python def outer(x: str | None = None) -> None: if x is None: x = calculate_default() reveal_type(x) # "str" (narrowed) def nested() -> None: reveal_type(x) # Now "str" (used to be "str | None") nested() ``` This may generate some new errors because asserts that were previously necessary may become tautological or no-ops. This was contributed by Jukka Lehtosalo (PR [15133](https://github.com/python/mypy/pull/15133)). ### Narrowing Enum Values Using “==” Mypy now allows narrowing enum types using the \== operator. Previously this was only supported when using the is operator. This makes exhaustiveness checking with enum types more usable, as the requirement to use the is operator was not very intuitive. In this example mypy can detect that the developer forgot to handle the value MyEnum.C in example ```python from enum import Enum class MyEnum(Enum): A = 0 B = 1 C = 2 def example(e: MyEnum) -> str: # Error: Missing return statement if e == MyEnum.A: return 'x' elif e == MyEnum.B: return 'y' ``` Adding an extra elif case resolves the error: ```python ... def example(e: MyEnum) -> str: # No error -- all values covered if e == MyEnum.A: return 'x' elif e == MyEnum.B: return 'y' elif e == MyEnum.C: return 'z' ``` This change can cause false positives in test cases that have assert statements like assert o.x == SomeEnum.X when using \--strict-equality. Example: ```python # mypy: strict-equality from enum import Enum class MyEnum(Enum): A = 0 B = 1 class C: x: MyEnum ... def test_something() -> None: c = C(...) assert c.x == MyEnum.A c.do_something_that_changes_x() assert c.x == MyEnum.B # Error: Non-overlapping equality check ``` These errors can be ignored using \# type: ignore\[comparison-overlap\], or you can perform the assertion using a temporary variable as a workaround: ```python ... def test_something() -> None: ... x = c.x assert x == MyEnum.A # Does not narrow c.x c.do_something_that_changes_x() x = c.x assert x == MyEnum.B # OK ``` This feature was contributed by Shantanu (PR [11521](https://github.com/python/mypy/pull/11521)). ### Performance Improvements * Speed up simplification of large union types and also fix a recursive tuple crash (Shantanu, PR [15128](https://github.com/python/mypy/pull/15128)) * Speed up union subtyping (Shantanu, PR [15104](https://github.com/python/mypy/pull/15104)) * Don't type check most function bodies when type checking third-party library code, or generally when ignoring errors (Jukka Lehtosalo, PR [14150](https://github.com/python/mypy/pull/14150)) ### Improvements to Plugins * attrs.evolve: Support generics and unions (Ilya Konstantinov, PR [15050](https://github.com/python/mypy/pull/15050)) * Fix ctypes plugin (Alex Waygood) ### Fixes to Crashes * Fix a crash when function-scope recursive alias appears as upper bound (Ivan Levkivskyi, PR [15159](https://github.com/python/mypy/pull/15159)) * Fix crash on follow\_imports\_for\_stubs (Ivan Levkivskyi, PR [15407](https://github.com/python/mypy/pull/15407)) * Fix stubtest crash in explicit init subclass (Shantanu, PR [15399](https://github.com/python/mypy/pull/15399)) * Fix crash when indexing TypedDict with empty key (Shantanu, PR [15392](https://github.com/python/mypy/pull/15392)) * Fix crash on NamedTuple as attribute (Ivan Levkivskyi, PR [15404](https://github.com/python/mypy/pull/15404)) * Correctly track loop depth for nested functions/classes (Ivan Levkivskyi, PR [15403](https://github.com/python/mypy/pull/15403)) * Fix crash on joins with recursive tuples (Ivan Levkivskyi, PR [15402](https://github.com/python/mypy/pull/15402)) * Fix crash with custom ErrorCode subclasses (Marc Mueller, PR [15327](https://github.com/python/mypy/pull/15327)) * Fix crash in dataclass protocol with self attribute assignment (Ivan Levkivskyi, PR [15157](https://github.com/python/mypy/pull/15157)) * Fix crash on lambda in generic context with generic method in body (Ivan Levkivskyi, PR [15155](https://github.com/python/mypy/pull/15155)) * Fix recursive type alias crash in make\_simplified\_union (Ivan Levkivskyi, PR [15216](https://github.com/python/mypy/pull/15216)) ### Improvements to Error Messages * Use lower-case built-in collection types such as list\[…\] instead of List\[…\] in errors when targeting Python 3.9+ (Max Murin, PR [15070](https://github.com/python/mypy/pull/15070)) * Use X | Y union syntax in error messages when targeting Python 3.10+ (Omar Silva, PR [15102](https://github.com/python/mypy/pull/15102)) * Use type instead of Type in errors when targeting Python 3.9+ (Rohit Sanjay, PR [15139](https://github.com/python/mypy/pull/15139)) * Do not show unused-ignore errors in unreachable code, and make it a real error code (Ivan Levkivskyi, PR [15164](https://github.com/python/mypy/pull/15164)) * Don’t limit the number of errors shown by default (Rohit Sanjay, PR [15138](https://github.com/python/mypy/pull/15138)) * Improver message for truthy functions (madt2709, PR [15193](https://github.com/python/mypy/pull/15193)) * Output distinct types when type names are ambiguous (teresa0605, PR [15184](https://github.com/python/mypy/pull/15184)) * Update message about invalid exception type in try (AJ Rasmussen, PR [15131](https://github.com/python/mypy/pull/15131)) * Add explanation if argument type is incompatible because of an unsupported numbers type (Jukka Lehtosalo, PR [15137](https://github.com/python/mypy/pull/15137)) * Add more detail to 'signature incompatible with supertype' messages for non-callables (Ilya Priven, PR [15263](https://github.com/python/mypy/pull/15263)) ### Documentation Updates * Add \--local-partial-types note to dmypy docs (Alan Du, PR [15259](https://github.com/python/mypy/pull/15259)) * Update getting started docs for mypyc for Windows (Valentin Stanciu, PR [15233](https://github.com/python/mypy/pull/15233)) * Clarify usage of callables regarding type object in docs (Viicos, PR [15079](https://github.com/python/mypy/pull/15079)) * Clarify difference between disallow\_untyped\_defs and disallow\_incomplete\_defs (Ilya Priven, PR [15247](https://github.com/python/mypy/pull/15247)) * Use attrs and @attrs.define in documentation and tests (Ilya Priven, PR [15152](https://github.com/python/mypy/pull/15152)) ### Mypyc Improvements * Fix unexpected TypeError for certain variables with an inferred optional type (Richard Si, PR [15206](https://github.com/python/mypy/pull/15206)) * Inline math literals (Logan Hunt, PR [15324](https://github.com/python/mypy/pull/15324)) * Support unpacking mappings in dict display (Richard Si, PR [15203](https://github.com/python/mypy/pull/15203)) ### Changes to Stubgen * Do not remove Generic from base classes (Ali Hamdan, PR [15316](https://github.com/python/mypy/pull/15316)) * Support yield from statements (Ali Hamdan, PR [15271](https://github.com/python/mypy/pull/15271)) * Fix missing total from TypedDict class (Ali Hamdan, PR [15208](https://github.com/python/mypy/pull/15208)) * Fix call-based namedtuple omitted from class bases (Ali Hamdan, PR [14680](https://github.com/python/mypy/pull/14680)) * Support TypedDict alternative syntax (Ali Hamdan, PR [14682](https://github.com/python/mypy/pull/14682)) * Make stubgen respect MYPY\_CACHE\_DIR (Henrik Bäärnhielm, PR [14722](https://github.com/python/mypy/pull/14722)) * Fixes and simplifications (Ali Hamdan, PR [15232](https://github.com/python/mypy/pull/15232)) ### Other Notable Fixes and Improvements * Fix nested async functions when using TypeVar value restriction (Jukka Lehtosalo, PR [14705](https://github.com/python/mypy/pull/14705)) * Always allow returning Any from lambda (Ivan Levkivskyi, PR [15413](https://github.com/python/mypy/pull/15413)) * Add foundation for TypeVar defaults (PEP 696) (Marc Mueller, PR [14872](https://github.com/python/mypy/pull/14872)) * Update semantic analyzer for TypeVar defaults (PEP 696) (Marc Mueller, PR [14873](https://github.com/python/mypy/pull/14873)) * Make dict expression inference more consistent (Ivan Levkivskyi, PR [15174](https://github.com/python/mypy/pull/15174)) * Do not block on duplicate base classes (Nikita Sobolev, PR [15367](https://github.com/python/mypy/pull/15367)) * Generate an error when both staticmethod and classmethod decorators are used (Juhi Chandalia, PR [15118](https://github.com/python/mypy/pull/15118)) * Fix assert\_type behaviour with literals (Carl Karsten, PR [15123](https://github.com/python/mypy/pull/15123)) * Fix match subject ignoring redefinitions (Vincent Vanlaer, PR [15306](https://github.com/python/mypy/pull/15306)) * Support `__all__`.remove (Shantanu, PR [15279](https://github.com/python/mypy/pull/15279)) ### Typeshed Updates Typeshed is now modular and distributed as separate PyPI packages for everything except the standard library stubs. Please see [git log](https://github.com/python/typeshed/commits/main?after=877e06ad1cfd9fd9967c0b0340a86d0c23ea89ce+0&branch=main&path=stdlib) for full list of typeshed changes. ### Acknowledgements Thanks to all mypy contributors who contributed to this release: * Adrian Garcia Badaracco * AJ Rasmussen * Alan Du * Alex Waygood * Ali Hamdan * Carl Karsten * dosisod * Ethan Smith * Gregory Santosa * Heather White * Henrik Bäärnhielm * Ilya Konstantinov * Ilya Priven * Ivan Levkivskyi * Juhi Chandalia * Jukka Lehtosalo * Logan Hunt * madt2709 * Marc Mueller * Max Murin * Nikita Sobolev * Omar Silva * Özgür * Richard Si * Rohit Sanjay * Shantanu * teresa0605 * Thomas M Kehrenberg * Tin Tvrtković * Tushar Sadhwani * Valentin Stanciu * Viicos * Vincent Vanlaer * Wesley Collin Wright * William Santosa * yaegassy I’d also like to thank my employer, Dropbox, for supporting mypy development. Posted by Jared Hance ## Mypy 1.3 [Wednesday, 10 May 2023](https://mypy-lang.blogspot.com/2023/05/mypy-13-released.html) We’ve just uploaded mypy 1.3 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Performance Improvements * Improve performance of union subtyping (Shantanu, PR [15104](https://github.com/python/mypy/pull/15104)) * Add negative subtype caches (Ivan Levkivskyi, PR [14884](https://github.com/python/mypy/pull/14884)) ### Stub Tooling Improvements * Stubtest: Check that the stub is abstract if the runtime is, even when the stub is an overloaded method (Alex Waygood, PR [14955](https://github.com/python/mypy/pull/14955)) * Stubtest: Verify stub methods or properties are decorated with @final if they are decorated with @final at runtime (Alex Waygood, PR [14951](https://github.com/python/mypy/pull/14951)) * Stubtest: Fix stubtest false positives with TypedDicts at runtime (Alex Waygood, PR [14984](https://github.com/python/mypy/pull/14984)) * Stubgen: Support @functools.cached\_property (Nikita Sobolev, PR [14981](https://github.com/python/mypy/pull/14981)) * Improvements to stubgenc (Chad Dombrova, PR [14564](https://github.com/python/mypy/pull/14564)) ### Improvements to attrs * Add support for converters with TypeVars on generic attrs classes (Chad Dombrova, PR [14908](https://github.com/python/mypy/pull/14908)) * Fix attrs.evolve on bound TypeVar (Ilya Konstantinov, PR [15022](https://github.com/python/mypy/pull/15022)) ### Documentation Updates * Improve async documentation (Shantanu, PR [14973](https://github.com/python/mypy/pull/14973)) * Improvements to cheat sheet (Shantanu, PR [14972](https://github.com/python/mypy/pull/14972)) * Add documentation for bytes formatting error code (Shantanu, PR [14971](https://github.com/python/mypy/pull/14971)) * Convert insecure links to use HTTPS (Marti Raudsepp, PR [14974](https://github.com/python/mypy/pull/14974)) * Also mention overloads in async iterator documentation (Shantanu, PR [14998](https://github.com/python/mypy/pull/14998)) * stubtest: Improve allowlist documentation (Shantanu, PR [15008](https://github.com/python/mypy/pull/15008)) * Clarify "Using types... but not at runtime" (Jon Shea, PR [15029](https://github.com/python/mypy/pull/15029)) * Fix alignment of cheat sheet example (Ondřej Cvacho, PR [15039](https://github.com/python/mypy/pull/15039)) * Fix error for callback protocol matching against callable type object (Shantanu, PR [15042](https://github.com/python/mypy/pull/15042)) ### Error Reporting Improvements * Improve bytes formatting error (Shantanu, PR [14959](https://github.com/python/mypy/pull/14959)) ### Mypyc Improvements * Fix unions of bools and ints (Tomer Chachamu, PR [15066](https://github.com/python/mypy/pull/15066)) ### Other Fixes and Improvements * Fix narrowing union types that include Self with isinstance (Christoph Tyralla, PR [14923](https://github.com/python/mypy/pull/14923)) * Allow objects matching SupportsKeysAndGetItem to be unpacked (Bryan Forbes, PR [14990](https://github.com/python/mypy/pull/14990)) * Check type guard validity for staticmethods (EXPLOSION, PR [14953](https://github.com/python/mypy/pull/14953)) * Fix sys.platform when cross-compiling with emscripten (Ethan Smith, PR [14888](https://github.com/python/mypy/pull/14888)) ### Typeshed Updates Typeshed is now modular and distributed as separate PyPI packages for everything except the standard library stubs. Please see [git log](https://github.com/python/typeshed/commits/main?after=b0ed50e9392a23e52445b630a808153e0e256976+0&branch=main&path=stdlib) for full list of typeshed changes. ### Acknowledgements Thanks to all mypy contributors who contributed to this release: * Alex Waygood * Amin Alaee * Bryan Forbes * Chad Dombrova * Charlie Denton * Christoph Tyralla * dosisod * Ethan Smith * EXPLOSION * Ilya Konstantinov * Ivan Levkivskyi * Jon Shea * Jukka Lehtosalo * KotlinIsland * Marti Raudsepp * Nikita Sobolev * Ondřej Cvacho * Shantanu * sobolevn * Tomer Chachamu * Yaroslav Halchenko Posted by Wesley Collin Wright. ## Mypy 1.2 [Thursday, 6 April 2023](https://mypy-lang.blogspot.com/2023/04/mypy-12-released.html) We’ve just uploaded mypy 1.2 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Improvements to Dataclass Transforms * Support implicit default for "init" parameter in field specifiers (Wesley Collin Wright and Jukka Lehtosalo, PR [15010](https://github.com/python/mypy/pull/15010)) * Support descriptors in dataclass transform (Jukka Lehtosalo, PR [15006](https://github.com/python/mypy/pull/15006)) * Fix frozen\_default in incremental mode (Wesley Collin Wright) * Fix frozen behavior for base classes with direct metaclasses (Wesley Collin Wright, PR [14878](https://github.com/python/mypy/pull/14878)) ### Mypyc: Native Floats Mypyc now uses a native, unboxed representation for values of type float. Previously these were heap-allocated Python objects. Native floats are faster and use less memory. Code that uses floating-point operations heavily can be several times faster when using native floats. Various float operations and math functions also now have optimized implementations. Refer to the [documentation](https://mypyc.readthedocs.io/en/latest/float_operations.html) for a full list. This can change the behavior of existing code that uses subclasses of float. When assigning an instance of a subclass of float to a variable with the float type, it gets implicitly converted to a float instance when compiled: ```python from lib import MyFloat # MyFloat ia a subclass of "float" def example() -> None: x = MyFloat(1.5) y: float = x # Implicit conversion from MyFloat to float print(type(y)) # float, not MyFloat ``` Previously, implicit conversions were applied to int subclasses but not float subclasses. Also, int values can no longer be assigned to a variable with type float in compiled code, since these types now have incompatible representations. An explicit conversion is required: ```python def example(n: int) -> None: a: float = 1 # Error: cannot assign "int" to "float" b: float = 1.0 # OK c: float = n # Error d: float = float(n) # OK ``` This restriction only applies to assignments, since they could otherwise narrow down the type of a variable from float to int. int values can still be implicitly converted to float when passed as arguments to functions that expect float values. Note that mypyc still doesn’t support arrays of unboxed float values. Using list\[float\] involves heap-allocated float objects, since list can only store boxed values. Support for efficient floating point arrays is one of the next major planned mypyc features. Related changes: * Use a native unboxed representation for floats (Jukka Lehtosalo, PR [14880](https://github.com/python/mypy/pull/14880)) * Document native floats and integers (Jukka Lehtosalo, PR [14927](https://github.com/python/mypy/pull/14927)) * Fixes to float to int conversion (Jukka Lehtosalo, PR [14936](https://github.com/python/mypy/pull/14936)) ### Mypyc: Native Integers Mypyc now supports signed 32-bit and 64-bit integer types in addition to the arbitrary-precision int type. You can use the types mypy\_extensions.i32 and mypy\_extensions.i64 to speed up code that uses integer operations heavily. Simple example: ```python from mypy_extensions import i64 def inc(x: i64) -> i64: return x + 1 ``` Refer to the [documentation](https://mypyc.readthedocs.io/en/latest/using_type_annotations.html#native-integer-types) for more information. This feature was contributed by Jukka Lehtosalo. ### Other Mypyc Fixes and Improvements * Support iterating over a TypedDict (Richard Si, PR [14747](https://github.com/python/mypy/pull/14747)) * Faster coercions between different tuple types (Jukka Lehtosalo, PR [14899](https://github.com/python/mypy/pull/14899)) * Faster calls via type aliases (Jukka Lehtosalo, PR [14784](https://github.com/python/mypy/pull/14784)) * Faster classmethod calls via cls (Jukka Lehtosalo, PR [14789](https://github.com/python/mypy/pull/14789)) ### Fixes to Crashes * Fix crash on class-level import in protocol definition (Ivan Levkivskyi, PR [14926](https://github.com/python/mypy/pull/14926)) * Fix crash on single item union of alias (Ivan Levkivskyi, PR [14876](https://github.com/python/mypy/pull/14876)) * Fix crash on ParamSpec in incremental mode (Ivan Levkivskyi, PR [14885](https://github.com/python/mypy/pull/14885)) ### Documentation Updates * Update adopting \--strict documentation for 1.0 (Shantanu, PR [14865](https://github.com/python/mypy/pull/14865)) * Some minor documentation tweaks (Jukka Lehtosalo, PR [14847](https://github.com/python/mypy/pull/14847)) * Improve documentation of top level mypy: disable-error-code comment (Nikita Sobolev, PR [14810](https://github.com/python/mypy/pull/14810)) ### Error Reporting Improvements * Add error code to `typing_extensions` suggestion (Shantanu, PR [14881](https://github.com/python/mypy/pull/14881)) * Add a separate error code for top-level await (Nikita Sobolev, PR [14801](https://github.com/python/mypy/pull/14801)) * Don’t suggest two obsolete stub packages (Jelle Zijlstra, PR [14842](https://github.com/python/mypy/pull/14842)) * Add suggestions for pandas-stubs and lxml-stubs (Shantanu, PR [14737](https://github.com/python/mypy/pull/14737)) ### Other Fixes and Improvements * Multiple inheritance considers callable objects as subtypes of functions (Christoph Tyralla, PR [14855](https://github.com/python/mypy/pull/14855)) * stubtest: Respect @final runtime decorator and enforce it in stubs (Nikita Sobolev, PR [14922](https://github.com/python/mypy/pull/14922)) * Fix false positives related to type\[\] (sterliakov, PR [14756](https://github.com/python/mypy/pull/14756)) * Fix duplication of ParamSpec prefixes and properly substitute ParamSpecs (EXPLOSION, PR [14677](https://github.com/python/mypy/pull/14677)) * Fix line number if `__iter__` is incorrectly reported as missing (Jukka Lehtosalo, PR [14893](https://github.com/python/mypy/pull/14893)) * Fix incompatible overrides of overloaded generics with self types (Shantanu, PR [14882](https://github.com/python/mypy/pull/14882)) * Allow SupportsIndex in slice expressions (Shantanu, PR [14738](https://github.com/python/mypy/pull/14738)) * Support if statements in bodies of dataclasses and classes that use dataclass\_transform (Jacek Chałupka, PR [14854](https://github.com/python/mypy/pull/14854)) * Allow iterable class objects to be unpacked (including enums) (Alex Waygood, PR [14827](https://github.com/python/mypy/pull/14827)) * Fix narrowing for walrus expressions used in match statements (Shantanu, PR [14844](https://github.com/python/mypy/pull/14844)) * Add signature for attr.evolve (Ilya Konstantinov, PR [14526](https://github.com/python/mypy/pull/14526)) * Fix Any inference when unpacking iterators that don't directly inherit from typing.Iterator (Alex Waygood, PR [14821](https://github.com/python/mypy/pull/14821)) * Fix unpack with overloaded `__iter__` method (Nikita Sobolev, PR [14817](https://github.com/python/mypy/pull/14817)) * Reduce size of JSON data in mypy cache (dosisod, PR [14808](https://github.com/python/mypy/pull/14808)) * Improve “used before definition” checks when a local definition has the same name as a global definition (Stas Ilinskiy, PR [14517](https://github.com/python/mypy/pull/14517)) * Honor NoReturn as \_\_setitem\_\_ return type to mark unreachable code (sterliakov, PR [12572](https://github.com/python/mypy/pull/12572)) ### Typeshed Updates Typeshed is now modular and distributed as separate PyPI packages for everything except the standard library stubs. Please see [git log](https://github.com/python/typeshed/commits/main?after=a544b75320e97424d2d927605316383c755cdac0+0&branch=main&path=stdlib) for full list of typeshed changes. ### Acknowledgements Thanks to all mypy contributors who contributed to this release: * Alex Waygood * Avasam * Christoph Tyralla * dosisod * EXPLOSION * Ilya Konstantinov * Ivan Levkivskyi * Jacek Chałupka * Jelle Zijlstra * Jukka Lehtosalo * Marc Mueller * Max Murin * Nikita Sobolev * Richard Si * Shantanu * Stas Ilinskiy * sterliakov * Wesley Collin Wright Posted by Jukka Lehtosalo ## Mypy 1.1.1 [Monday, 6 March 2023](https://mypy-lang.blogspot.com/2023/03/mypy-111-released.html) We’ve just uploaded mypy 1.1.1 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### Support for `dataclass_transform`` This release adds full support for the dataclass\_transform decorator defined in [PEP 681](https://peps.python.org/pep-0681/#decorator-function-example). This allows decorators, base classes, and metaclasses that generate a \_\_init\_\_ method or other methods based on the properties of that class (similar to dataclasses) to have those methods recognized by mypy. This was contributed by Wesley Collin Wright. ### Dedicated Error Code for Method Assignments Mypy can’t safely check all assignments to methods (a form of monkey patching), so mypy generates an error by default. To make it easier to ignore this error, mypy now uses the new error code method-assign for this. By disabling this error code in a file or globally, mypy will no longer complain about assignments to methods if the signatures are compatible. Mypy also supports the old error code assignment for these assignments to prevent a backward compatibility break. More generally, we can use this mechanism in the future if we wish to split or rename another existing error code without causing backward compatibility issues. This was contributed by Ivan Levkivskyi (PR [14570](https://github.com/python/mypy/pull/14570)). ### Fixes to Crashes * Fix a crash on walrus in comprehension at class scope (Ivan Levkivskyi, PR [14556](https://github.com/python/mypy/pull/14556)) * Fix crash related to value-constrained TypeVar (Shantanu, PR [14642](https://github.com/python/mypy/pull/14642)) ### Fixes to Cache Corruption * Fix generic TypedDict/NamedTuple caching (Ivan Levkivskyi, PR [14675](https://github.com/python/mypy/pull/14675)) ### Mypyc Fixes and Improvements * Raise "non-trait base must be first..." error less frequently (Richard Si, PR [14468](https://github.com/python/mypy/pull/14468)) * Generate faster code for bool comparisons and arithmetic (Jukka Lehtosalo, PR [14489](https://github.com/python/mypy/pull/14489)) * Optimize \_\_(a)enter\_\_/\_\_(a)exit\_\_ for native classes (Jared Hance, PR [14530](https://github.com/python/mypy/pull/14530)) * Detect if attribute definition conflicts with base class/trait (Jukka Lehtosalo, PR [14535](https://github.com/python/mypy/pull/14535)) * Support \_\_(r)divmod\_\_ dunders (Richard Si, PR [14613](https://github.com/python/mypy/pull/14613)) * Support \_\_pow\_\_, \_\_rpow\_\_, and \_\_ipow\_\_ dunders (Richard Si, PR [14616](https://github.com/python/mypy/pull/14616)) * Fix crash on star unpacking to underscore (Ivan Levkivskyi, PR [14624](https://github.com/python/mypy/pull/14624)) * Fix iterating over a union of dicts (Richard Si, PR [14713](https://github.com/python/mypy/pull/14713)) ### Fixes to Detecting Undefined Names (used-before-def) * Correctly handle walrus operator (Stas Ilinskiy, PR [14646](https://github.com/python/mypy/pull/14646)) * Handle walrus declaration in match subject correctly (Stas Ilinskiy, PR [14665](https://github.com/python/mypy/pull/14665)) ### Stubgen Improvements Stubgen is a tool for automatically generating draft stubs for libraries. * Allow aliases below the top level (Chad Dombrova, PR [14388](https://github.com/python/mypy/pull/14388)) * Fix crash with PEP 604 union in type variable bound (Shantanu, PR [14557](https://github.com/python/mypy/pull/14557)) * Preserve PEP 604 unions in generated .pyi files (hamdanal, PR [14601](https://github.com/python/mypy/pull/14601)) ### Stubtest Improvements Stubtest is a tool for testing that stubs conform to the implementations. * Update message format so that it’s easier to go to error location (Avasam, PR [14437](https://github.com/python/mypy/pull/14437)) * Handle name-mangling edge cases better (Alex Waygood, PR [14596](https://github.com/python/mypy/pull/14596)) ### Changes to Error Reporting and Messages * Add new TypedDict error code typeddict-unknown-key (JoaquimEsteves, PR [14225](https://github.com/python/mypy/pull/14225)) * Give arguments a more reasonable location in error messages (Max Murin, PR [14562](https://github.com/python/mypy/pull/14562)) * In error messages, quote just the module's name (Ilya Konstantinov, PR [14567](https://github.com/python/mypy/pull/14567)) * Improve misleading message about Enum() (Rodrigo Silva, PR [14590](https://github.com/python/mypy/pull/14590)) * Suggest importing from `typing_extensions` if definition is not in typing (Shantanu, PR [14591](https://github.com/python/mypy/pull/14591)) * Consistently use type-abstract error code (Ivan Levkivskyi, PR [14619](https://github.com/python/mypy/pull/14619)) * Consistently use literal-required error code for TypedDicts (Ivan Levkivskyi, PR [14621](https://github.com/python/mypy/pull/14621)) * Adjust inconsistent dataclasses plugin error messages (Wesley Collin Wright, PR [14637](https://github.com/python/mypy/pull/14637)) * Consolidate literal bool argument error messages (Wesley Collin Wright, PR [14693](https://github.com/python/mypy/pull/14693)) ### Other Fixes and Improvements * Check that type guards accept a positional argument (EXPLOSION, PR [14238](https://github.com/python/mypy/pull/14238)) * Fix bug with in operator used with a union of Container and Iterable (Max Murin, PR [14384](https://github.com/python/mypy/pull/14384)) * Support protocol inference for type\[T\] via metaclass (Ivan Levkivskyi, PR [14554](https://github.com/python/mypy/pull/14554)) * Allow overlapping comparisons between bytes-like types (Shantanu, PR [14658](https://github.com/python/mypy/pull/14658)) * Fix mypy daemon documentation link in README (Ivan Levkivskyi, PR [14644](https://github.com/python/mypy/pull/14644)) ### Typeshed Updates Typeshed is now modular and distributed as separate PyPI packages for everything except the standard library stubs. Please see [git log](https://github.com/python/typeshed/commits/main?after=5ebf892d0710a6e87925b8d138dfa597e7bb11cc+0&branch=main&path=stdlib) for full list of typeshed changes. ### Acknowledgements Thanks to all mypy contributors who contributed to this release: * Alex Waygood * Avasam * Chad Dombrova * dosisod * EXPLOSION * hamdanal * Ilya Konstantinov * Ivan Levkivskyi * Jared Hance * JoaquimEsteves * Jukka Lehtosalo * Marc Mueller * Max Murin * Michael Lee * Michael R. Crusoe * Richard Si * Rodrigo Silva * Shantanu * Stas Ilinskiy * Wesley Collin Wright * Yilei "Dolee" Yang * Yurii Karabas We’d also like to thank our employer, Dropbox, for funding the mypy core team. Posted by Max Murin ## Mypy 1.0 [Monday, 6 February 2023](https://mypy-lang.blogspot.com/2023/02/mypy-10-released.html) We’ve just uploaded mypy 1.0 to the Python Package Index ([PyPI](https://pypi.org/project/mypy/)). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows: python3 -m pip install -U mypy You can read the full documentation for this release on [Read the Docs](http://mypy.readthedocs.io). ### New Release Versioning Scheme Now that mypy reached 1.0, we’ll switch to a new versioning scheme. Mypy version numbers will be of form x.y.z. Rules: * The major release number (x) is incremented if a feature release includes a significant backward incompatible change that affects a significant fraction of users. * The minor release number (y) is incremented on each feature release. Minor releases include updated stdlib stubs from typeshed. * The point release number (z) is incremented when there are fixes only. Mypy doesn't use SemVer, since most minor releases have at least minor backward incompatible changes in typeshed, at the very least. Also, many type checking features find new legitimate issues in code. These are not considered backward incompatible changes, unless the number of new errors is very high. Any significant backward incompatible change must be announced in the blog post for the previous feature release, before making the change. The previous release must also provide a flag to explicitly enable or disable the new behavior (whenever practical), so that users will be able to prepare for the changes and report issues. We should keep the feature flag for at least a few releases after we've switched the default. See [”Release Process” in the mypy wiki](https://github.com/python/mypy/wiki/Release-Process) for more details and for the most up-to-date version of the versioning scheme. ### Performance Improvements Mypy 1.0 is up to 40% faster than mypy 0.991 when type checking the Dropbox internal codebase. We also set up a daily job to measure the performance of the most recent development version of mypy to make it easier to track changes in performance. Many optimizations contributed to this improvement: * Improve performance for errors on class with many attributes (Shantanu, PR [14379](https://github.com/python/mypy/pull/14379)) * Speed up make\_simplified\_union (Jukka Lehtosalo, PR [14370](https://github.com/python/mypy/pull/14370)) * Micro-optimize get\_proper\_type(s) (Jukka Lehtosalo, PR [14369](https://github.com/python/mypy/pull/14369)) * Micro-optimize flatten\_nested\_unions (Jukka Lehtosalo, PR [14368](https://github.com/python/mypy/pull/14368)) * Some semantic analyzer micro-optimizations (Jukka Lehtosalo, PR [14367](https://github.com/python/mypy/pull/14367)) * A few miscellaneous micro-optimizations (Jukka Lehtosalo, PR [14366](https://github.com/python/mypy/pull/14366)) * Optimization: Avoid a few uses of contextmanagers in semantic analyzer (Jukka Lehtosalo, PR [14360](https://github.com/python/mypy/pull/14360)) * Optimization: Enable always defined attributes in Type subclasses (Jukka Lehtosalo, PR [14356](https://github.com/python/mypy/pull/14356)) * Optimization: Remove expensive context manager in type analyzer (Jukka Lehtosalo, PR [14357](https://github.com/python/mypy/pull/14357)) * subtypes: fast path for Union/Union subtype check (Hugues, PR [14277](https://github.com/python/mypy/pull/14277)) * Micro-optimization: avoid Bogus\[int\] types that cause needless boxing (Jukka Lehtosalo, PR [14354](https://github.com/python/mypy/pull/14354)) * Avoid slow error message logic if errors not shown to user (Jukka Lehtosalo, PR [14336](https://github.com/python/mypy/pull/14336)) * Speed up the implementation of hasattr() checks (Jukka Lehtosalo, PR [14333](https://github.com/python/mypy/pull/14333)) * Avoid the use of a context manager in hot code path (Jukka Lehtosalo, PR [14331](https://github.com/python/mypy/pull/14331)) * Change various type queries into faster bool type queries (Jukka Lehtosalo, PR [14330](https://github.com/python/mypy/pull/14330)) * Speed up recursive type check (Jukka Lehtosalo, PR [14326](https://github.com/python/mypy/pull/14326)) * Optimize subtype checking by avoiding a nested function (Jukka Lehtosalo, PR [14325](https://github.com/python/mypy/pull/14325)) * Optimize type parameter checks in subtype checking (Jukka Lehtosalo, PR [14324](https://github.com/python/mypy/pull/14324)) * Speed up freshening type variables (Jukka Lehtosalo, PR [14323](https://github.com/python/mypy/pull/14323)) * Optimize implementation of TypedDict types for \*\*kwds (Jukka Lehtosalo, PR [14316](https://github.com/python/mypy/pull/14316)) ### Warn About Variables Used Before Definition Mypy will now generate an error if you use a variable before it’s defined. This feature is enabled by default. By default mypy reports an error when it infers that a variable is always undefined. ```python y = x # E: Name "x" is used before definition [used-before-def] x = 0 ``` This feature was contributed by Stas Ilinskiy. ### Detect Possibly Undefined Variables (Experimental) A new experimental possibly-undefined error code is now available that will detect variables that may be undefined: ```python if b: x = 0 print(x) # Error: Name "x" may be undefined [possibly-undefined] ``` The error code is disabled be default, since it can generate false positives. This feature was contributed by Stas Ilinskiy. ### Support the “Self” Type There is now a simpler syntax for declaring [generic self types](https://mypy.readthedocs.io/en/stable/generics.html#generic-methods-and-generic-self) introduced in [PEP 673](https://peps.python.org/pep-0673/): the Self type. You no longer have to define a type variable to use “self types”, and you can use them with attributes. Example from mypy documentation: ```python from typing import Self class Friend: other: Self | None = None @classmethod def make_pair(cls) -> tuple[Self, Self]: a, b = cls(), cls() a.other = b b.other = a return a, b class SuperFriend(Friend): pass # a and b have the inferred type "SuperFriend", not "Friend" a, b = SuperFriend.make_pair() ``` The feature was introduced in Python 3.11. In earlier Python versions a backport of Self is available in `typing_extensions`. This was contributed by Ivan Levkivskyi (PR [14041](https://github.com/python/mypy/pull/14041)). ### Support ParamSpec in Type Aliases ParamSpec and Concatenate can now be used in type aliases. Example: ```python from typing import ParamSpec, Callable P = ParamSpec("P") A = Callable[P, None] def f(c: A[int, str]) -> None: c(1, "x") ``` This feature was contributed by Ivan Levkivskyi (PR [14159](https://github.com/python/mypy/pull/14159)). ### ParamSpec and Generic Self Types No Longer Experimental Support for ParamSpec ([PEP 612](https://www.python.org/dev/peps/pep-0612/)) and generic self types are no longer considered experimental. ### Miscellaneous New Features * Minimal, partial implementation of dataclass\_transform ([PEP 681](https://peps.python.org/pep-0681/)) (Wesley Collin Wright, PR [14523](https://github.com/python/mypy/pull/14523)) * Add basic support for `typing_extensions`.TypeVar (Marc Mueller, PR [14313](https://github.com/python/mypy/pull/14313)) * Add \--debug-serialize option (Marc Mueller, PR [14155](https://github.com/python/mypy/pull/14155)) * Constant fold initializers of final variables (Jukka Lehtosalo, PR [14283](https://github.com/python/mypy/pull/14283)) * Enable Final instance attributes for attrs (Tin Tvrtković, PR [14232](https://github.com/python/mypy/pull/14232)) * Allow function arguments as base classes (Ivan Levkivskyi, PR [14135](https://github.com/python/mypy/pull/14135)) * Allow super() with mixin protocols (Ivan Levkivskyi, PR [14082](https://github.com/python/mypy/pull/14082)) * Add type inference for dict.keys membership (Matthew Hughes, PR [13372](https://github.com/python/mypy/pull/13372)) * Generate error for class attribute access if attribute is defined with `__slots__` (Harrison McCarty, PR [14125](https://github.com/python/mypy/pull/14125)) * Support additional attributes in callback protocols (Ivan Levkivskyi, PR [14084](https://github.com/python/mypy/pull/14084)) ### Fixes to Crashes * Fix crash on prefixed ParamSpec with forward reference (Ivan Levkivskyi, PR [14569](https://github.com/python/mypy/pull/14569)) * Fix internal crash when resolving the same partial type twice (Shantanu, PR [14552](https://github.com/python/mypy/pull/14552)) * Fix crash in daemon mode on new import cycle (Ivan Levkivskyi, PR [14508](https://github.com/python/mypy/pull/14508)) * Fix crash in mypy daemon (Ivan Levkivskyi, PR [14497](https://github.com/python/mypy/pull/14497)) * Fix crash on Any metaclass in incremental mode (Ivan Levkivskyi, PR [14495](https://github.com/python/mypy/pull/14495)) * Fix crash in await inside comprehension outside function (Ivan Levkivskyi, PR [14486](https://github.com/python/mypy/pull/14486)) * Fix crash in Self type on forward reference in upper bound (Ivan Levkivskyi, PR [14206](https://github.com/python/mypy/pull/14206)) * Fix a crash when incorrect super() is used outside a method (Ivan Levkivskyi, PR [14208](https://github.com/python/mypy/pull/14208)) * Fix crash on overriding with frozen attrs (Ivan Levkivskyi, PR [14186](https://github.com/python/mypy/pull/14186)) * Fix incremental mode crash on generic function appearing in nested position (Ivan Levkivskyi, PR [14148](https://github.com/python/mypy/pull/14148)) * Fix daemon crash on malformed NamedTuple (Ivan Levkivskyi, PR [14119](https://github.com/python/mypy/pull/14119)) * Fix crash during ParamSpec inference (Ivan Levkivskyi, PR [14118](https://github.com/python/mypy/pull/14118)) * Fix crash on nested generic callable (Ivan Levkivskyi, PR [14093](https://github.com/python/mypy/pull/14093)) * Fix crashes with unpacking SyntaxError (Shantanu, PR [11499](https://github.com/python/mypy/pull/11499)) * Fix crash on partial type inference within a lambda (Ivan Levkivskyi, PR [14087](https://github.com/python/mypy/pull/14087)) * Fix crash with enums (Michael Lee, PR [14021](https://github.com/python/mypy/pull/14021)) * Fix crash with malformed TypedDicts and disllow-any-expr (Michael Lee, PR [13963](https://github.com/python/mypy/pull/13963)) ### Error Reporting Improvements * More helpful error for missing self (Shantanu, PR [14386](https://github.com/python/mypy/pull/14386)) * Add error-code truthy-iterable (Marc Mueller, PR [13762](https://github.com/python/mypy/pull/13762)) * Fix pluralization in error messages (KotlinIsland, PR [14411](https://github.com/python/mypy/pull/14411)) ### Mypyc: Support Match Statement Mypyc can now compile Python 3.10 match statements. This was contributed by dosisod (PR [13953](https://github.com/python/mypy/pull/13953)). ### Other Mypyc Fixes and Improvements * Optimize int(x)/float(x)/complex(x) on instances of native classes (Richard Si, PR [14450](https://github.com/python/mypy/pull/14450)) * Always emit warnings (Richard Si, PR [14451](https://github.com/python/mypy/pull/14451)) * Faster bool and integer conversions (Jukka Lehtosalo, PR [14422](https://github.com/python/mypy/pull/14422)) * Support attributes that override properties (Jukka Lehtosalo, PR [14377](https://github.com/python/mypy/pull/14377)) * Precompute set literals for "in" operations and iteration (Richard Si, PR [14409](https://github.com/python/mypy/pull/14409)) * Don't load targets with forward references while setting up non-extension class `__all__` (Richard Si, PR [14401](https://github.com/python/mypy/pull/14401)) * Compile away NewType type calls (Richard Si, PR [14398](https://github.com/python/mypy/pull/14398)) * Improve error message for multiple inheritance (Joshua Bronson, PR [14344](https://github.com/python/mypy/pull/14344)) * Simplify union types (Jukka Lehtosalo, PR [14363](https://github.com/python/mypy/pull/14363)) * Fixes to union simplification (Jukka Lehtosalo, PR [14364](https://github.com/python/mypy/pull/14364)) * Fix for typeshed changes to Collection (Shantanu, PR [13994](https://github.com/python/mypy/pull/13994)) * Allow use of enum.Enum (Shantanu, PR [13995](https://github.com/python/mypy/pull/13995)) * Fix compiling on Arch Linux (dosisod, PR [13978](https://github.com/python/mypy/pull/13978)) ### Documentation Improvements * Various documentation and error message tweaks (Jukka Lehtosalo, PR [14574](https://github.com/python/mypy/pull/14574)) * Improve Generics documentation (Shantanu, PR [14587](https://github.com/python/mypy/pull/14587)) * Improve protocols documentation (Shantanu, PR [14577](https://github.com/python/mypy/pull/14577)) * Improve dynamic typing documentation (Shantanu, PR [14576](https://github.com/python/mypy/pull/14576)) * Improve the Common Issues page (Shantanu, PR [14581](https://github.com/python/mypy/pull/14581)) * Add a top-level TypedDict page (Shantanu, PR [14584](https://github.com/python/mypy/pull/14584)) * More improvements to getting started documentation (Shantanu, PR [14572](https://github.com/python/mypy/pull/14572)) * Move truthy-function documentation from “optional checks” to “enabled by default” (Anders Kaseorg, PR [14380](https://github.com/python/mypy/pull/14380)) * Avoid use of implicit optional in decorator factory documentation (Tom Schraitle, PR [14156](https://github.com/python/mypy/pull/14156)) * Clarify documentation surrounding install-types (Shantanu, PR [14003](https://github.com/python/mypy/pull/14003)) * Improve searchability for module level type ignore errors (Shantanu, PR [14342](https://github.com/python/mypy/pull/14342)) * Advertise mypy daemon in README (Ivan Levkivskyi, PR [14248](https://github.com/python/mypy/pull/14248)) * Add link to error codes in README (Ivan Levkivskyi, PR [14249](https://github.com/python/mypy/pull/14249)) * Document that report generation disables cache (Ilya Konstantinov, PR [14402](https://github.com/python/mypy/pull/14402)) * Stop saying mypy is beta software (Ivan Levkivskyi, PR [14251](https://github.com/python/mypy/pull/14251)) * Flycheck-mypy is deprecated, since its functionality was merged to Flycheck (Ivan Levkivskyi, PR [14247](https://github.com/python/mypy/pull/14247)) * Update code example in "Declaring decorators" (ChristianWitzler, PR [14131](https://github.com/python/mypy/pull/14131)) ### Stubtest Improvements Stubtest is a tool for testing that stubs conform to the implementations. * Improve error message for `__all__`\-related errors (Alex Waygood, PR [14362](https://github.com/python/mypy/pull/14362)) * Improve heuristics for determining whether global-namespace names are imported (Alex Waygood, PR [14270](https://github.com/python/mypy/pull/14270)) * Catch BaseException on module imports (Shantanu, PR [14284](https://github.com/python/mypy/pull/14284)) * Associate exported symbol error with `__all__` object\_path (Nikita Sobolev, PR [14217](https://github.com/python/mypy/pull/14217)) * Add \_\_warningregistry\_\_ to the list of ignored module dunders (Nikita Sobolev, PR [14218](https://github.com/python/mypy/pull/14218)) * If a default is present in the stub, check that it is correct (Jelle Zijlstra, PR [14085](https://github.com/python/mypy/pull/14085)) ### Stubgen Improvements Stubgen is a tool for automatically generating draft stubs for libraries. * Treat dlls as C modules (Shantanu, PR [14503](https://github.com/python/mypy/pull/14503)) ### Other Notable Fixes and Improvements * Update stub suggestions based on recent typeshed changes (Alex Waygood, PR [14265](https://github.com/python/mypy/pull/14265)) * Fix attrs protocol check with cache (Marc Mueller, PR [14558](https://github.com/python/mypy/pull/14558)) * Fix strict equality check if operand item type has custom \_\_eq\_\_ (Jukka Lehtosalo, PR [14513](https://github.com/python/mypy/pull/14513)) * Don't consider object always truthy (Jukka Lehtosalo, PR [14510](https://github.com/python/mypy/pull/14510)) * Properly support union of TypedDicts as dict literal context (Ivan Levkivskyi, PR [14505](https://github.com/python/mypy/pull/14505)) * Properly expand type in generic class with Self and TypeVar with values (Ivan Levkivskyi, PR [14491](https://github.com/python/mypy/pull/14491)) * Fix recursive TypedDicts/NamedTuples defined with call syntax (Ivan Levkivskyi, PR [14488](https://github.com/python/mypy/pull/14488)) * Fix type inference issue when a class inherits from Any (Shantanu, PR [14404](https://github.com/python/mypy/pull/14404)) * Fix false positive on generic base class with six (Ivan Levkivskyi, PR [14478](https://github.com/python/mypy/pull/14478)) * Don't read scripts without extensions as modules in namespace mode (Tim Geypens, PR [14335](https://github.com/python/mypy/pull/14335)) * Fix inference for constrained type variables within unions (Christoph Tyralla, PR [14396](https://github.com/python/mypy/pull/14396)) * Fix Unpack imported from typing (Marc Mueller, PR [14378](https://github.com/python/mypy/pull/14378)) * Allow trailing commas in ini configuration of multiline values (Nikita Sobolev, PR [14240](https://github.com/python/mypy/pull/14240)) * Fix false negatives involving Unions and generators or coroutines (Shantanu, PR [14224](https://github.com/python/mypy/pull/14224)) * Fix ParamSpec constraint for types as callable (Vincent Vanlaer, PR [14153](https://github.com/python/mypy/pull/14153)) * Fix type aliases with fixed-length tuples (Jukka Lehtosalo, PR [14184](https://github.com/python/mypy/pull/14184)) * Fix issues with type aliases and new style unions (Jukka Lehtosalo, PR [14181](https://github.com/python/mypy/pull/14181)) * Simplify unions less aggressively (Ivan Levkivskyi, PR [14178](https://github.com/python/mypy/pull/14178)) * Simplify callable overlap logic (Ivan Levkivskyi, PR [14174](https://github.com/python/mypy/pull/14174)) * Try empty context when assigning to union typed variables (Ivan Levkivskyi, PR [14151](https://github.com/python/mypy/pull/14151)) * Improvements to recursive types (Ivan Levkivskyi, PR [14147](https://github.com/python/mypy/pull/14147)) * Make non-numeric non-empty FORCE\_COLOR truthy (Shantanu, PR [14140](https://github.com/python/mypy/pull/14140)) * Fix to recursive type aliases (Ivan Levkivskyi, PR [14136](https://github.com/python/mypy/pull/14136)) * Correctly handle Enum name on Python 3.11 (Ivan Levkivskyi, PR [14133](https://github.com/python/mypy/pull/14133)) * Fix class objects falling back to metaclass for callback protocol (Ivan Levkivskyi, PR [14121](https://github.com/python/mypy/pull/14121)) * Correctly support self types in callable ClassVar (Ivan Levkivskyi, PR [14115](https://github.com/python/mypy/pull/14115)) * Fix type variable clash in nested positions and in attributes (Ivan Levkivskyi, PR [14095](https://github.com/python/mypy/pull/14095)) * Allow class variable as implementation for read only attribute (Ivan Levkivskyi, PR [14081](https://github.com/python/mypy/pull/14081)) * Prevent warnings from causing dmypy to fail (Andrzej Bartosiński, PR [14102](https://github.com/python/mypy/pull/14102)) * Correctly process nested definitions in mypy daemon (Ivan Levkivskyi, PR [14104](https://github.com/python/mypy/pull/14104)) * Don't consider a branch unreachable if there is a possible promotion (Ivan Levkivskyi, PR [14077](https://github.com/python/mypy/pull/14077)) * Fix incompatible overrides of overloaded methods in concrete subclasses (Shantanu, PR [14017](https://github.com/python/mypy/pull/14017)) * Fix new style union syntax in type aliases (Jukka Lehtosalo, PR [14008](https://github.com/python/mypy/pull/14008)) * Fix and optimise overload compatibility checking (Shantanu, PR [14018](https://github.com/python/mypy/pull/14018)) * Improve handling of redefinitions through imports (Shantanu, PR [13969](https://github.com/python/mypy/pull/13969)) * Preserve (some) implicitly exported types (Shantanu, PR [13967](https://github.com/python/mypy/pull/13967)) ### Typeshed Updates Typeshed is now modular and distributed as separate PyPI packages for everything except the standard library stubs. Please see [git log](https://github.com/python/typeshed/commits/main?after=ea0ae2155e8a04c9837903c3aff8dd5ad5f36ebc+0&branch=main&path=stdlib) for full list of typeshed changes. ### Acknowledgements Thanks to all mypy contributors who contributed to this release: * Alessio Izzo * Alex Waygood * Anders Kaseorg * Andrzej Bartosiński * Avasam * ChristianWitzler * Christoph Tyralla * dosisod * Harrison McCarty * Hugo van Kemenade * Hugues * Ilya Konstantinov * Ivan Levkivskyi * Jelle Zijlstra * jhance * johnthagen * Jonathan Daniel * Joshua Bronson * Jukka Lehtosalo * KotlinIsland * Lakshay Bisht * Lefteris Karapetsas * Marc Mueller * Matthew Hughes * Michael Lee * Nick Drozd * Nikita Sobolev * Richard Si * Shantanu * Stas Ilinskiy * Tim Geypens * Tin Tvrtković * Tom Schraitle * Valentin Stanciu * Vincent Vanlaer We’d also like to thank our employer, Dropbox, for funding the mypy core team. Posted by Stas Ilinskiy ## Previous releases For information about previous releases, refer to the posts at https://mypy-lang.blogspot.com/ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/LICENSE0000644000175100017510000003105215112307767013265 0ustar00runnerrunnerMypy (and mypyc) are licensed under the terms of the MIT license, reproduced below. = = = = = The MIT License Copyright (c) 2012-2023 Jukka Lehtosalo and contributors Copyright (c) 2015-2023 Dropbox, Inc. 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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: - Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/MANIFEST.in0000644000175100017510000000223715112307767014021 0ustar00runnerrunner# some of the prunes here are so that check-manifest doesn't complain about their exclusion # as such, be judicious in your use of prune # stubs prune mypy/typeshed include mypy/typeshed/LICENSE include mypy/typeshed/stdlib/VERSIONS recursive-include mypy/typeshed *.pyi # mypy and mypyc include mypy/py.typed include mypyc/py.typed recursive-include mypy *.py recursive-include mypyc *.py # random include mypy_bootstrap.ini graft mypy/xml graft scripts # docs graft docs prune docs/build prune docs/source/_build # assorted mypyc requirements graft mypyc/external graft mypyc/lib-rt graft mypyc/test graft mypyc/test-data graft mypyc/doc prune mypyc/doc/build # files necessary for testing sdist include mypy-requirements.txt include build-requirements.txt include test-requirements.in include test-requirements.txt include mypy_self_check.ini prune misc graft test-data graft mypy/test include conftest.py include runtests.py include tox.ini include LICENSE mypyc/README.md CHANGELOG.md exclude .gitmodules CONTRIBUTING.md CREDITS ROADMAP.md action.yml .editorconfig exclude .git-blame-ignore-revs .pre-commit-config.yaml global-exclude *.py[cod] global-exclude .DS_Store ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7557669 mypy-1.19.0/PKG-INFO0000644000175100017510000000422015112310012013323 0ustar00runnerrunnerMetadata-Version: 2.4 Name: mypy Version: 1.19.0 Summary: Optional static typing for Python Author-email: Jukka Lehtosalo License: MIT Project-URL: Homepage, https://www.mypy-lang.org/ Project-URL: Documentation, https://mypy.readthedocs.io/en/stable/index.html Project-URL: Repository, https://github.com/python/mypy Project-URL: Changelog, https://github.com/python/mypy/blob/master/CHANGELOG.md Project-URL: Issues, https://github.com/python/mypy/issues Classifier: Development Status :: 5 - Production/Stable Classifier: Environment :: Console Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3.14 Classifier: Topic :: Software Development Classifier: Typing :: Typed Requires-Python: >=3.9 Description-Content-Type: text/x-rst License-File: LICENSE Requires-Dist: typing_extensions>=4.6.0 Requires-Dist: mypy_extensions>=1.0.0 Requires-Dist: pathspec>=0.9.0 Requires-Dist: tomli>=1.1.0; python_version < "3.11" Requires-Dist: librt>=0.6.2 Provides-Extra: dmypy Requires-Dist: psutil>=4.0; extra == "dmypy" Provides-Extra: mypyc Requires-Dist: setuptools>=50; extra == "mypyc" Provides-Extra: python2 Provides-Extra: reports Requires-Dist: lxml; extra == "reports" Provides-Extra: install-types Requires-Dist: pip; extra == "install-types" Provides-Extra: faster-cache Requires-Dist: orjson; extra == "faster-cache" Dynamic: license-file Mypy -- Optional Static Typing for Python ========================================= Add type annotations to your Python programs, and use mypy to type check them. Mypy is essentially a Python linter on steroids, and it can catch many programming errors by analyzing your program, without actually having to run it. Mypy has a powerful type system with features such as type inference, gradual typing, generics and union types. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/README.md0000644000175100017510000001666715112307767013556 0ustar00runnerrunnermypy logo Mypy: Static Typing for Python ======================================= [![Stable Version](https://img.shields.io/pypi/v/mypy?color=blue)](https://pypi.org/project/mypy/) [![Downloads](https://img.shields.io/pypi/dm/mypy)](https://pypistats.org/packages/mypy) [![Build Status](https://github.com/python/mypy/actions/workflows/test.yml/badge.svg)](https://github.com/python/mypy/actions) [![Documentation Status](https://readthedocs.org/projects/mypy/badge/?version=latest)](https://mypy.readthedocs.io/en/latest/?badge=latest) [![Chat at https://gitter.im/python/typing](https://badges.gitter.im/python/typing.svg)](https://gitter.im/python/typing?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [![Checked with mypy](https://www.mypy-lang.org/static/mypy_badge.svg)](https://mypy-lang.org/) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Linting: Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff) Got a question? --------------- We are always happy to answer questions! Here are some good places to ask them: - for general questions about Python typing, try [typing discussions](https://github.com/python/typing/discussions) - for anything you're curious about, try [gitter chat](https://gitter.im/python/typing) If you're just getting started, [the documentation](https://mypy.readthedocs.io/en/stable/index.html) and [type hints cheat sheet](https://mypy.readthedocs.io/en/stable/cheat_sheet_py3.html) can also help answer questions. If you think you've found a bug: - check our [common issues page](https://mypy.readthedocs.io/en/stable/common_issues.html) - search our [issue tracker](https://github.com/python/mypy/issues) to see if it's already been reported To report a bug or request an enhancement: - report at [our issue tracker](https://github.com/python/mypy/issues) - if the issue is with a specific library or function, consider reporting it at [typeshed tracker](https://github.com/python/typeshed/issues) or the issue tracker for that library To discuss a new type system feature: - discuss at [discuss.python.org](https://discuss.python.org/c/typing/32) - there is also some historical discussion at the [typing-sig mailing list](https://mail.python.org/archives/list/typing-sig@python.org/) and the [python/typing repo](https://github.com/python/typing/issues) What is mypy? ------------- Mypy is a static type checker for Python. Type checkers help ensure that you're using variables and functions in your code correctly. With mypy, add type hints ([PEP 484](https://www.python.org/dev/peps/pep-0484/)) to your Python programs, and mypy will warn you when you use those types incorrectly. Python is a dynamic language, so usually you'll only see errors in your code when you attempt to run it. Mypy is a *static* checker, so it finds bugs in your programs without even running them! Here is a small example to whet your appetite: ```python number = input("What is your favourite number?") print("It is", number + 1) # error: Unsupported operand types for + ("str" and "int") ``` Adding type hints for mypy does not interfere with the way your program would otherwise run. Think of type hints as similar to comments! You can always use the Python interpreter to run your code, even if mypy reports errors. Mypy is designed with gradual typing in mind. This means you can add type hints to your code base slowly and that you can always fall back to dynamic typing when static typing is not convenient. Mypy has a powerful and easy-to-use type system, supporting features such as type inference, generics, callable types, tuple types, union types, structural subtyping and more. Using mypy will make your programs easier to understand, debug, and maintain. See [the documentation](https://mypy.readthedocs.io/en/stable/index.html) for more examples and information. In particular, see: - [type hints cheat sheet](https://mypy.readthedocs.io/en/stable/cheat_sheet_py3.html) - [getting started](https://mypy.readthedocs.io/en/stable/getting_started.html) - [list of error codes](https://mypy.readthedocs.io/en/stable/error_code_list.html) Quick start ----------- Mypy can be installed using pip: ```bash python3 -m pip install -U mypy ``` If you want to run the latest version of the code, you can install from the repo directly: ```bash python3 -m pip install -U git+https://github.com/python/mypy.git ``` Now you can type-check the [statically typed parts] of a program like this: ```bash mypy PROGRAM ``` You can always use the Python interpreter to run your statically typed programs, even if mypy reports type errors: ```bash python3 PROGRAM ``` If you are working with large code bases, you can run mypy in [daemon mode], that will give much faster (often sub-second) incremental updates: ```bash dmypy run -- PROGRAM ``` You can also try mypy in an [online playground](https://mypy-play.net/) (developed by Yusuke Miyazaki). [statically typed parts]: https://mypy.readthedocs.io/en/latest/getting_started.html#function-signatures-and-dynamic-vs-static-typing [daemon mode]: https://mypy.readthedocs.io/en/stable/mypy_daemon.html Integrations ------------ Mypy can be integrated into popular IDEs: - VS Code: provides [basic integration](https://code.visualstudio.com/docs/python/linting#_mypy) with mypy. - Vim: - Using [Syntastic](https://github.com/vim-syntastic/syntastic): in `~/.vimrc` add `let g:syntastic_python_checkers=['mypy']` - Using [ALE](https://github.com/dense-analysis/ale): should be enabled by default when `mypy` is installed, or can be explicitly enabled by adding `let b:ale_linters = ['mypy']` in `~/vim/ftplugin/python.vim` - Emacs: using [Flycheck](https://github.com/flycheck/) - Sublime Text: [SublimeLinter-contrib-mypy](https://github.com/fredcallaway/SublimeLinter-contrib-mypy) - PyCharm: [mypy plugin](https://github.com/dropbox/mypy-PyCharm-plugin) - IDLE: [idlemypyextension](https://github.com/CoolCat467/idlemypyextension) - pre-commit: use [pre-commit mirrors-mypy](https://github.com/pre-commit/mirrors-mypy), although note by default this will limit mypy's ability to analyse your third party dependencies. Web site and documentation -------------------------- Additional information is available at the web site: Jump straight to the documentation: Follow along our changelog at: Contributing ------------ Help in testing, development, documentation and other tasks is highly appreciated and useful to the project. There are tasks for contributors of all experience levels. To get started with developing mypy, see [CONTRIBUTING.md](CONTRIBUTING.md). Mypyc and compiled version of mypy ---------------------------------- [Mypyc](https://github.com/mypyc/mypyc) uses Python type hints to compile Python modules to faster C extensions. Mypy is itself compiled using mypyc: this makes mypy approximately 4 times faster than if interpreted! To install an interpreted mypy instead, use: ```bash python3 -m pip install --no-binary mypy -U mypy ``` To use a compiled version of a development version of mypy, directly install a binary from . To contribute to the mypyc project, check out the issue tracker at ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/build-requirements.txt0000644000175100017510000000021015112307767016631 0ustar00runnerrunner# NOTE: this needs to be kept in sync with the "requires" list in pyproject.toml -r mypy-requirements.txt types-psutil types-setuptools ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/conftest.py0000644000175100017510000000111115112307767014450 0ustar00runnerrunnerfrom __future__ import annotations import os.path pytest_plugins = ["mypy.test.data"] def pytest_configure(config): mypy_source_root = os.path.dirname(os.path.abspath(__file__)) if os.getcwd() != mypy_source_root: os.chdir(mypy_source_root) # This function name is special to pytest. See # https://doc.pytest.org/en/latest/how-to/writing_plugins.html#initialization-command-line-and-configuration-hooks def pytest_addoption(parser) -> None: parser.addoption( "--bench", action="store_true", default=False, help="Enable the benchmark test runs" ) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4437642 mypy-1.19.0/docs/0000755000175100017510000000000015112310011013157 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/Makefile0000644000175100017510000001516015112307767014652 0ustar00runnerrunner# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = BUILDDIR = build # User-friendly check for sphinx-build ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1) $(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from https://www.sphinx-doc.org/) endif # Internal variables. PAPEROPT_a4 = -D latex_paper_size=a4 PAPEROPT_letter = -D latex_paper_size=letter ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) source # the i18n builder cannot share the environment and doctrees with the others I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) source .PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext help: @echo "Please use \`make ' where is one of" @echo " html to make standalone HTML files" @echo " dirhtml to make HTML files named index.html in directories" @echo " singlehtml to make a single large HTML file" @echo " pickle to make pickle files" @echo " json to make JSON files" @echo " htmlhelp to make HTML files and a HTML help project" @echo " qthelp to make HTML files and a qthelp project" @echo " devhelp to make HTML files and a Devhelp project" @echo " epub to make an epub" @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" @echo " latexpdf to make LaTeX files and run them through pdflatex" @echo " latexpdfja to make LaTeX files and run them through platex/dvipdfmx" @echo " text to make text files" @echo " man to make manual pages" @echo " texinfo to make Texinfo files" @echo " info to make Texinfo files and run them through makeinfo" @echo " gettext to make PO message catalogs" @echo " changes to make an overview of all changed/added/deprecated items" @echo " xml to make Docutils-native XML files" @echo " pseudoxml to make pseudoxml-XML files for display purposes" @echo " linkcheck to check all external links for integrity" @echo " doctest to run all doctests embedded in the documentation (if enabled)" clean: rm -rf $(BUILDDIR)/* html: $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html @echo @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." dirhtml: $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml @echo @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." singlehtml: $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml @echo @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." pickle: $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle @echo @echo "Build finished; now you can process the pickle files." json: $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json @echo @echo "Build finished; now you can process the JSON files." htmlhelp: $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp @echo @echo "Build finished; now you can run HTML Help Workshop with the" \ ".hhp project file in $(BUILDDIR)/htmlhelp." qthelp: $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp @echo @echo "Build finished; now you can run "qcollectiongenerator" with the" \ ".qhcp project file in $(BUILDDIR)/qthelp, like this:" @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/Mypy.qhcp" @echo "To view the help file:" @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/Mypy.qhc" devhelp: $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp @echo @echo "Build finished." @echo "To view the help file:" @echo "# mkdir -p $$HOME/.local/share/devhelp/Mypy" @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/Mypy" @echo "# devhelp" epub: $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub @echo @echo "Build finished. The epub file is in $(BUILDDIR)/epub." latex: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." @echo "Run \`make' in that directory to run these through (pdf)latex" \ "(use \`make latexpdf' here to do that automatically)." latexpdf: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo "Running LaTeX files through pdflatex..." $(MAKE) -C $(BUILDDIR)/latex all-pdf @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." latexpdfja: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo "Running LaTeX files through platex and dvipdfmx..." $(MAKE) -C $(BUILDDIR)/latex all-pdf-ja @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." text: $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text @echo @echo "Build finished. The text files are in $(BUILDDIR)/text." man: $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man @echo @echo "Build finished. The manual pages are in $(BUILDDIR)/man." texinfo: $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo @echo @echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo." @echo "Run \`make' in that directory to run these through makeinfo" \ "(use \`make info' here to do that automatically)." info: $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo @echo "Running Texinfo files through makeinfo..." make -C $(BUILDDIR)/texinfo info @echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo." gettext: $(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale @echo @echo "Build finished. The message catalogs are in $(BUILDDIR)/locale." changes: $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes @echo @echo "The overview file is in $(BUILDDIR)/changes." linkcheck: $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck @echo @echo "Link check complete; look for any errors in the above output " \ "or in $(BUILDDIR)/linkcheck/output.txt." doctest: $(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest @echo "Testing of doctests in the sources finished, look at the " \ "results in $(BUILDDIR)/doctest/output.txt." xml: $(SPHINXBUILD) -b xml $(ALLSPHINXOPTS) $(BUILDDIR)/xml @echo @echo "Build finished. The XML files are in $(BUILDDIR)/xml." pseudoxml: $(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml @echo @echo "Build finished. The pseudo-XML files are in $(BUILDDIR)/pseudoxml." ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/README.md0000644000175100017510000000204515112307767014467 0ustar00runnerrunnerMypy Documentation ================== What's this? ------------ This directory contains the source code for Mypy documentation (under `source/`) and build scripts. The documentation uses Sphinx and reStructuredText. We use `furo` as the documentation theme. Building the documentation -------------------------- Install Sphinx and other dependencies (i.e. theme) needed for the documentation. From the `docs` directory, use `pip`: ``` pip install -r requirements-docs.txt ``` Build the documentation like this: ``` make html ``` The built documentation will be placed in the `docs/build` directory. Open `docs/build/index.html` to view the documentation. Helpful documentation build commands ------------------------------------ Clean the documentation build: ``` make clean ``` Test and check the links found in the documentation: ``` make linkcheck ``` Documentation on Read The Docs ------------------------------ The mypy documentation is hosted on Read The Docs, and the latest version can be found at https://mypy.readthedocs.io/en/latest. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/make.bat0000755000175100017510000001506715112307767014630 0ustar00runnerrunner@ECHO OFF REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set BUILDDIR=build set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% source set I18NSPHINXOPTS=%SPHINXOPTS% source if NOT "%PAPER%" == "" ( set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS% set I18NSPHINXOPTS=-D latex_paper_size=%PAPER% %I18NSPHINXOPTS% ) if "%1" == "" goto help if "%1" == "help" ( :help echo.Please use `make ^` where ^ is one of echo. html to make standalone HTML files echo. dirhtml to make HTML files named index.html in directories echo. singlehtml to make a single large HTML file echo. pickle to make pickle files echo. json to make JSON files echo. htmlhelp to make HTML files and a HTML help project echo. qthelp to make HTML files and a qthelp project echo. devhelp to make HTML files and a Devhelp project echo. epub to make an epub echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter echo. text to make text files echo. man to make manual pages echo. texinfo to make Texinfo files echo. gettext to make PO message catalogs echo. changes to make an overview over all changed/added/deprecated items echo. xml to make Docutils-native XML files echo. pseudoxml to make pseudoxml-XML files for display purposes echo. linkcheck to check all external links for integrity echo. doctest to run all doctests embedded in the documentation if enabled goto end ) if "%1" == "clean" ( for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i del /q /s %BUILDDIR%\* goto end ) %SPHINXBUILD% 2> nul if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.https://www.sphinx-doc.org/ exit /b 1 ) if "%1" == "html" ( %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html if errorlevel 1 exit /b 1 echo. echo.Build finished. The HTML pages are in %BUILDDIR%/html. goto end ) if "%1" == "dirhtml" ( %SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml if errorlevel 1 exit /b 1 echo. echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml. goto end ) if "%1" == "singlehtml" ( %SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml if errorlevel 1 exit /b 1 echo. echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml. goto end ) if "%1" == "pickle" ( %SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle if errorlevel 1 exit /b 1 echo. echo.Build finished; now you can process the pickle files. goto end ) if "%1" == "json" ( %SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json if errorlevel 1 exit /b 1 echo. echo.Build finished; now you can process the JSON files. goto end ) if "%1" == "htmlhelp" ( %SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp if errorlevel 1 exit /b 1 echo. echo.Build finished; now you can run HTML Help Workshop with the ^ .hhp project file in %BUILDDIR%/htmlhelp. goto end ) if "%1" == "qthelp" ( %SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp if errorlevel 1 exit /b 1 echo. echo.Build finished; now you can run "qcollectiongenerator" with the ^ .qhcp project file in %BUILDDIR%/qthelp, like this: echo.^> qcollectiongenerator %BUILDDIR%\qthelp\Mypy.qhcp echo.To view the help file: echo.^> assistant -collectionFile %BUILDDIR%\qthelp\Mypy.ghc goto end ) if "%1" == "devhelp" ( %SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp if errorlevel 1 exit /b 1 echo. echo.Build finished. goto end ) if "%1" == "epub" ( %SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub if errorlevel 1 exit /b 1 echo. echo.Build finished. The epub file is in %BUILDDIR%/epub. goto end ) if "%1" == "latex" ( %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex if errorlevel 1 exit /b 1 echo. echo.Build finished; the LaTeX files are in %BUILDDIR%/latex. goto end ) if "%1" == "latexpdf" ( %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex cd %BUILDDIR%/latex make all-pdf cd %BUILDDIR%/.. echo. echo.Build finished; the PDF files are in %BUILDDIR%/latex. goto end ) if "%1" == "latexpdfja" ( %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex cd %BUILDDIR%/latex make all-pdf-ja cd %BUILDDIR%/.. echo. echo.Build finished; the PDF files are in %BUILDDIR%/latex. goto end ) if "%1" == "text" ( %SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text if errorlevel 1 exit /b 1 echo. echo.Build finished. The text files are in %BUILDDIR%/text. goto end ) if "%1" == "man" ( %SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man if errorlevel 1 exit /b 1 echo. echo.Build finished. The manual pages are in %BUILDDIR%/man. goto end ) if "%1" == "texinfo" ( %SPHINXBUILD% -b texinfo %ALLSPHINXOPTS% %BUILDDIR%/texinfo if errorlevel 1 exit /b 1 echo. echo.Build finished. The Texinfo files are in %BUILDDIR%/texinfo. goto end ) if "%1" == "gettext" ( %SPHINXBUILD% -b gettext %I18NSPHINXOPTS% %BUILDDIR%/locale if errorlevel 1 exit /b 1 echo. echo.Build finished. The message catalogs are in %BUILDDIR%/locale. goto end ) if "%1" == "changes" ( %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes if errorlevel 1 exit /b 1 echo. echo.The overview file is in %BUILDDIR%/changes. goto end ) if "%1" == "linkcheck" ( %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck if errorlevel 1 exit /b 1 echo. echo.Link check complete; look for any errors in the above output ^ or in %BUILDDIR%/linkcheck/output.txt. goto end ) if "%1" == "doctest" ( %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest if errorlevel 1 exit /b 1 echo. echo.Testing of doctests in the sources finished, look at the ^ results in %BUILDDIR%/doctest/output.txt. goto end ) if "%1" == "xml" ( %SPHINXBUILD% -b xml %ALLSPHINXOPTS% %BUILDDIR%/xml if errorlevel 1 exit /b 1 echo. echo.Build finished. The XML files are in %BUILDDIR%/xml. goto end ) if "%1" == "pseudoxml" ( %SPHINXBUILD% -b pseudoxml %ALLSPHINXOPTS% %BUILDDIR%/pseudoxml if errorlevel 1 exit /b 1 echo. echo.Build finished. The pseudo-XML files are in %BUILDDIR%/pseudoxml. goto end ) :end ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/requirements-docs.txt0000644000175100017510000000015315112307767017420 0ustar00runnerrunner-r ../mypy-requirements.txt sphinx>=8.1.0 furo>=2022.3.4 myst-parser>=4.0.0 sphinx_inline_tabs>=2023.04.21 ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.451764 mypy-1.19.0/docs/source/0000755000175100017510000000000015112310011014457 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/additional_features.rst0000644000175100017510000004026415112307767021255 0ustar00runnerrunnerAdditional features ------------------- This section discusses various features that did not fit in naturally in one of the previous sections. .. _dataclasses_support: Dataclasses *********** The :py:mod:`dataclasses` module allows defining and customizing simple boilerplate-free classes. They can be defined using the :py:func:`@dataclasses.dataclass ` decorator: .. code-block:: python from dataclasses import dataclass, field @dataclass class Application: name: str plugins: list[str] = field(default_factory=list) test = Application("Testing...") # OK bad = Application("Testing...", "with plugin") # Error: list[str] expected Mypy will detect special methods (such as :py:meth:`__lt__ `) depending on the flags used to define dataclasses. For example: .. code-block:: python from dataclasses import dataclass @dataclass(order=True) class OrderedPoint: x: int y: int @dataclass(order=False) class UnorderedPoint: x: int y: int OrderedPoint(1, 2) < OrderedPoint(3, 4) # OK UnorderedPoint(1, 2) < UnorderedPoint(3, 4) # Error: Unsupported operand types Dataclasses can be generic and can be used in any other way a normal class can be used (Python 3.12 syntax): .. code-block:: python from dataclasses import dataclass @dataclass class BoxedData[T]: data: T label: str def unbox[T](bd: BoxedData[T]) -> T: ... val = unbox(BoxedData(42, "")) # OK, inferred type is int For more information see :doc:`official docs ` and :pep:`557`. Caveats/Known Issues ==================== Some functions in the :py:mod:`dataclasses` module, such as :py:func:`~dataclasses.asdict`, have imprecise (too permissive) types. This will be fixed in future releases. Mypy does not yet recognize aliases of :py:func:`dataclasses.dataclass `, and will probably never recognize dynamically computed decorators. The following example does **not** work: .. code-block:: python from dataclasses import dataclass dataclass_alias = dataclass def dataclass_wrapper(cls): return dataclass(cls) @dataclass_alias class AliasDecorated: """ Mypy doesn't recognize this as a dataclass because it is decorated by an alias of `dataclass` rather than by `dataclass` itself. """ attribute: int AliasDecorated(attribute=1) # error: Unexpected keyword argument To have Mypy recognize a wrapper of :py:func:`dataclasses.dataclass ` as a dataclass decorator, consider using the :py:func:`~typing.dataclass_transform` decorator (example uses Python 3.12 syntax): .. code-block:: python from dataclasses import dataclass, Field from typing import dataclass_transform @dataclass_transform(field_specifiers=(Field,)) def my_dataclass[T](cls: type[T]) -> type[T]: ... return dataclass(cls) Data Class Transforms ********************* Mypy supports the :py:func:`~typing.dataclass_transform` decorator as described in `PEP 681 `_. .. note:: Pragmatically, mypy will assume such classes have the internal attribute :code:`__dataclass_fields__` (even though they might lack it in runtime) and will assume functions such as :py:func:`dataclasses.is_dataclass` and :py:func:`dataclasses.fields` treat them as if they were dataclasses (even though they may fail at runtime). .. _attrs_package: The attrs package ***************** :doc:`attrs ` is a package that lets you define classes without writing boilerplate code. Mypy can detect uses of the package and will generate the necessary method definitions for decorated classes using the type annotations it finds. Type annotations can be added as follows: .. code-block:: python import attr @attrs.define class A: one: int two: int = 7 three: int = attrs.field(8) If you're using ``auto_attribs=False`` you must use ``attrs.field``: .. code-block:: python import attrs @attrs.define class A: one: int = attrs.field() # Variable annotation (Python 3.6+) two = attrs.field() # type: int # Type comment three = attrs.field(type=int) # type= argument Typeshed has a couple of "white lie" annotations to make type checking easier. :py:func:`attrs.field` and :py:class:`attrs.Factory` actually return objects, but the annotation says these return the types that they expect to be assigned to. That enables this to work: .. code-block:: python import attrs @attrs.define class A: one: int = attrs.field(8) two: dict[str, str] = attrs.Factory(dict) bad: str = attrs.field(16) # Error: can't assign int to str Caveats/Known Issues ==================== * The detection of attr classes and attributes works by function name only. This means that if you have your own helper functions that, for example, ``return attrs.field()`` mypy will not see them. * All boolean arguments that mypy cares about must be literal ``True`` or ``False``. e.g the following will not work: .. code-block:: python import attrs YES = True @attrs.define(init=YES) class A: ... * Currently, ``converter`` only supports named functions. If mypy finds something else it will complain about not understanding the argument and the type annotation in :py:meth:`__init__ ` will be replaced by ``Any``. * :ref:`Validator decorators ` and `default decorators `_ are not type-checked against the attribute they are setting/validating. * Method definitions added by mypy currently overwrite any existing method definitions. .. _remote-cache: Using a remote cache to speed up mypy runs ****************************************** Mypy performs type checking *incrementally*, reusing results from previous runs to speed up successive runs. If you are type checking a large codebase, mypy can still be sometimes slower than desirable. For example, if you create a new branch based on a much more recent commit than the target of the previous mypy run, mypy may have to process almost every file, as a large fraction of source files may have changed. This can also happen after you've rebased a local branch. Mypy supports using a *remote cache* to improve performance in cases such as the above. In a large codebase, remote caching can sometimes speed up mypy runs by a factor of 10, or more. Mypy doesn't include all components needed to set this up -- generally you will have to perform some simple integration with your Continuous Integration (CI) or build system to configure mypy to use a remote cache. This discussion assumes you have a CI system set up for the mypy build you want to speed up, and that you are using a central git repository. Generalizing to different environments should not be difficult. Here are the main components needed: * A shared repository for storing mypy cache files for all landed commits. * CI build that uploads mypy incremental cache files to the shared repository for each commit for which the CI build runs. * A wrapper script around mypy that developers use to run mypy with remote caching enabled. Below we discuss each of these components in some detail. Shared repository for cache files ================================= You need a repository that allows you to upload mypy cache files from your CI build and make the cache files available for download based on a commit id. A simple approach would be to produce an archive of the ``.mypy_cache`` directory (which contains the mypy cache data) as a downloadable *build artifact* from your CI build (depending on the capabilities of your CI system). Alternatively, you could upload the data to a web server or to S3, for example. Continuous Integration build ============================ The CI build would run a regular mypy build and create an archive containing the ``.mypy_cache`` directory produced by the build. Finally, it will produce the cache as a build artifact or upload it to a repository where it is accessible by the mypy wrapper script. Your CI script might work like this: * Run mypy normally. This will generate cache data under the ``.mypy_cache`` directory. * Create a tarball from the ``.mypy_cache`` directory. * Determine the current git master branch commit id (say, using ``git rev-parse HEAD``). * Upload the tarball to the shared repository with a name derived from the commit id. Mypy wrapper script =================== The wrapper script is used by developers to run mypy locally during development instead of invoking mypy directly. The wrapper first populates the local ``.mypy_cache`` directory from the shared repository and then runs a normal incremental build. The wrapper script needs some logic to determine the most recent central repository commit (by convention, the ``origin/master`` branch for git) the local development branch is based on. In a typical git setup you can do it like this: .. code:: git merge-base HEAD origin/master The next step is to download the cache data (contents of the ``.mypy_cache`` directory) from the shared repository based on the commit id of the merge base produced by the git command above. The script will decompress the data so that mypy will start with a fresh ``.mypy_cache``. Finally, the script runs mypy normally. And that's all! Caching with mypy daemon ======================== You can also use remote caching with the :ref:`mypy daemon `. The remote cache will significantly speed up the first ``dmypy check`` run after starting or restarting the daemon. The mypy daemon requires extra fine-grained dependency data in the cache files which aren't included by default. To use caching with the mypy daemon, use the :option:`--cache-fine-grained ` option in your CI build:: $ mypy --cache-fine-grained This flag adds extra information for the daemon to the cache. In order to use this extra information, you will also need to use the ``--use-fine-grained-cache`` option with ``dmypy start`` or ``dmypy restart``. Example:: $ dmypy start -- --use-fine-grained-cache Now your first ``dmypy check`` run should be much faster, as it can use cache information to avoid processing the whole program. Refinements =========== There are several optional refinements that may improve things further, at least if your codebase is hundreds of thousands of lines or more: * If the wrapper script determines that the merge base hasn't changed from a previous run, there's no need to download the cache data and it's better to instead reuse the existing local cache data. * If you use the mypy daemon, you may want to restart the daemon each time after the merge base or local branch has changed to avoid processing a potentially large number of changes in an incremental build, as this can be much slower than downloading cache data and restarting the daemon. * If the current local branch is based on a very recent master commit, the remote cache data may not yet be available for that commit, as there will necessarily be some latency to build the cache files. It may be a good idea to look for cache data for, say, the 5 latest master commits and use the most recent data that is available. * If the remote cache is not accessible for some reason (say, from a public network), the script can still fall back to a normal incremental build. * You can have multiple local cache directories for different local branches using the :option:`--cache-dir ` option. If the user switches to an existing branch where downloaded cache data is already available, you can continue to use the existing cache data instead of redownloading the data. * You can set up your CI build to use a remote cache to speed up the CI build. This would be particularly useful if each CI build starts from a fresh state without access to cache files from previous builds. It's still recommended to run a full, non-incremental mypy build to create the cache data, as repeatedly updating cache data incrementally could result in drift over a long time period (due to a mypy caching issue, perhaps). .. _extended_callable: Extended Callable types *********************** .. note:: This feature is deprecated. You can use :ref:`callback protocols ` as a replacement. As an experimental mypy extension, you can specify :py:class:`~collections.abc.Callable` types that support keyword arguments, optional arguments, and more. When you specify the arguments of a :py:class:`~collections.abc.Callable`, you can choose to supply just the type of a nameless positional argument, or an "argument specifier" representing a more complicated form of argument. This allows one to more closely emulate the full range of possibilities given by the ``def`` statement in Python. As an example, here's a complicated function definition and the corresponding :py:class:`~collections.abc.Callable`: .. code-block:: python from collections.abc import Callable from mypy_extensions import (Arg, DefaultArg, NamedArg, DefaultNamedArg, VarArg, KwArg) def func(__a: int, # This convention is for nameless arguments b: int, c: int = 0, *args: int, d: int, e: int = 0, **kwargs: int) -> int: ... F = Callable[[int, # Or Arg(int) Arg(int, 'b'), DefaultArg(int, 'c'), VarArg(int), NamedArg(int, 'd'), DefaultNamedArg(int, 'e'), KwArg(int)], int] f: F = func Argument specifiers are special function calls that can specify the following aspects of an argument: - its type (the only thing that the basic format supports) - its name (if it has one) - whether it may be omitted - whether it may or must be passed using a keyword - whether it is a ``*args`` argument (representing the remaining positional arguments) - whether it is a ``**kwargs`` argument (representing the remaining keyword arguments) The following functions are available in ``mypy_extensions`` for this purpose: .. code-block:: python def Arg(type=Any, name=None): # A normal, mandatory, positional argument. # If the name is specified it may be passed as a keyword. def DefaultArg(type=Any, name=None): # An optional positional argument (i.e. with a default value). # If the name is specified it may be passed as a keyword. def NamedArg(type=Any, name=None): # A mandatory keyword-only argument. def DefaultNamedArg(type=Any, name=None): # An optional keyword-only argument (i.e. with a default value). def VarArg(type=Any): # A *args-style variadic positional argument. # A single VarArg() specifier represents all remaining # positional arguments. def KwArg(type=Any): # A **kwargs-style variadic keyword argument. # A single KwArg() specifier represents all remaining # keyword arguments. In all cases, the ``type`` argument defaults to ``Any``, and if the ``name`` argument is omitted the argument has no name (the name is required for ``NamedArg`` and ``DefaultNamedArg``). A basic :py:class:`~collections.abc.Callable` such as .. code-block:: python MyFunc = Callable[[int, str, int], float] is equivalent to the following: .. code-block:: python MyFunc = Callable[[Arg(int), Arg(str), Arg(int)], float] A :py:class:`~collections.abc.Callable` with unspecified argument types, such as .. code-block:: python MyOtherFunc = Callable[..., int] is (roughly) equivalent to .. code-block:: python MyOtherFunc = Callable[[VarArg(), KwArg()], int] .. note:: Each of the functions above currently just returns its ``type`` argument at runtime, so the information contained in the argument specifiers is not available at runtime. This limitation is necessary for backwards compatibility with the existing ``typing.py`` module as present in the Python 3.5+ standard library and distributed via PyPI. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/builtin_types.rst0000644000175100017510000001004515112307767020133 0ustar00runnerrunnerBuilt-in types ============== This chapter introduces some commonly used built-in types. We will cover many other kinds of types later. Simple types ............ Here are examples of some common built-in types: ====================== =============================== Type Description ====================== =============================== ``int`` integer ``float`` floating point number ``bool`` boolean value (subclass of ``int``) ``str`` text, sequence of unicode codepoints ``bytes`` 8-bit string, sequence of byte values ``object`` an arbitrary object (``object`` is the common base class) ====================== =============================== All built-in classes can be used as types. Any type ........ If you can't find a good type for some value, you can always fall back to ``Any``: ====================== =============================== Type Description ====================== =============================== ``Any`` dynamically typed value with an arbitrary type ====================== =============================== The type ``Any`` is defined in the :py:mod:`typing` module. See :ref:`dynamic-typing` for more details. Generic types ............. In Python 3.9 and later, built-in collection type objects support indexing: ====================== =============================== Type Description ====================== =============================== ``list[str]`` list of ``str`` objects ``tuple[int, int]`` tuple of two ``int`` objects (``tuple[()]`` is the empty tuple) ``tuple[int, ...]`` tuple of an arbitrary number of ``int`` objects ``dict[str, int]`` dictionary from ``str`` keys to ``int`` values ``Iterable[int]`` iterable object containing ints ``Sequence[bool]`` sequence of booleans (read-only) ``Mapping[str, int]`` mapping from ``str`` keys to ``int`` values (read-only) ``type[C]`` type object of ``C`` (``C`` is a class/type variable/union of types) ====================== =============================== The type ``dict`` is a *generic* class, signified by type arguments within ``[...]``. For example, ``dict[int, str]`` is a dictionary from integers to strings and ``dict[Any, Any]`` is a dictionary of dynamically typed (arbitrary) values and keys. ``list`` is another generic class. ``Iterable``, ``Sequence``, and ``Mapping`` are generic types that correspond to Python protocols. For example, a ``str`` object or a ``list[str]`` object is valid when ``Iterable[str]`` or ``Sequence[str]`` is expected. You can import them from :py:mod:`collections.abc` instead of importing from :py:mod:`typing` in Python 3.9. See :ref:`generic-builtins` for more details, including how you can use these in annotations also in Python 3.7 and 3.8. These legacy types defined in :py:mod:`typing` are needed if you need to support Python 3.8 and earlier: ====================== =============================== Type Description ====================== =============================== ``List[str]`` list of ``str`` objects ``Tuple[int, int]`` tuple of two ``int`` objects (``Tuple[()]`` is the empty tuple) ``Tuple[int, ...]`` tuple of an arbitrary number of ``int`` objects ``Dict[str, int]`` dictionary from ``str`` keys to ``int`` values ``Iterable[int]`` iterable object containing ints ``Sequence[bool]`` sequence of booleans (read-only) ``Mapping[str, int]`` mapping from ``str`` keys to ``int`` values (read-only) ``Type[C]`` type object of ``C`` (``C`` is a class/type variable/union of types) ====================== =============================== ``List`` is an alias for the built-in type ``list`` that supports indexing (and similarly for ``dict``/``Dict`` and ``tuple``/``Tuple``). Note that even though ``Iterable``, ``Sequence`` and ``Mapping`` look similar to abstract base classes defined in :py:mod:`collections.abc` (formerly ``collections``), they are not identical, since the latter don't support indexing prior to Python 3.9. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/changelog.md0000644000175100017510000000015215112307767016756 0ustar00runnerrunner ```{include} ../../CHANGELOG.md ``` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/cheat_sheet_py3.rst0000644000175100017510000003201515112307767020311 0ustar00runnerrunner.. _cheat-sheet-py3: Type hints cheat sheet ====================== This document is a quick cheat sheet showing how to use type annotations for various common types in Python. Variables ********* Technically many of the type annotations shown below are redundant, since mypy can usually infer the type of a variable from its value. See :ref:`type-inference-and-annotations` for more details. .. code-block:: python # This is how you declare the type of a variable age: int = 1 # You don't need to initialize a variable to annotate it a: int # Ok (no value at runtime until assigned) # Doing so can be useful in conditional branches child: bool if age < 18: child = True else: child = False Useful built-in types ********************* .. code-block:: python # For most types, just use the name of the type in the annotation # Note that mypy can usually infer the type of a variable from its value, # so technically these annotations are redundant x: int = 1 x: float = 1.0 x: bool = True x: str = "test" x: bytes = b"test" # For collections on Python 3.9+, the type of the collection item is in brackets x: list[int] = [1] x: set[int] = {6, 7} # For mappings, we need the types of both keys and values x: dict[str, float] = {"field": 2.0} # Python 3.9+ # For tuples of fixed size, we specify the types of all the elements x: tuple[int, str, float] = (3, "yes", 7.5) # Python 3.9+ # For tuples of variable size, we use one type and ellipsis x: tuple[int, ...] = (1, 2, 3) # Python 3.9+ # On Python 3.8 and earlier, the name of the collection type is # capitalized, and the type is imported from the 'typing' module from typing import List, Set, Dict, Tuple x: List[int] = [1] x: Set[int] = {6, 7} x: Dict[str, float] = {"field": 2.0} x: Tuple[int, str, float] = (3, "yes", 7.5) x: Tuple[int, ...] = (1, 2, 3) from typing import Union, Optional # On Python 3.10+, use the | operator when something could be one of a few types x: list[int | str] = [3, 5, "test", "fun"] # Python 3.10+ # On earlier versions, use Union x: list[Union[int, str]] = [3, 5, "test", "fun"] # Use X | None for a value that could be None on Python 3.10+ # Use Optional[X] on 3.9 and earlier; Optional[X] is the same as 'X | None' x: str | None = "something" if some_condition() else None if x is not None: # Mypy understands x won't be None here because of the if-statement print(x.upper()) # If you know a value can never be None due to some logic that mypy doesn't # understand, use an assert assert x is not None print(x.upper()) Functions ********* .. code-block:: python from collections.abc import Iterator, Callable from typing import Union, Optional # This is how you annotate a function definition def stringify(num: int) -> str: return str(num) # And here's how you specify multiple arguments def plus(num1: int, num2: int) -> int: return num1 + num2 # If a function does not return a value, use None as the return type # Default value for an argument goes after the type annotation def show(value: str, excitement: int = 10) -> None: print(value + "!" * excitement) # Note that arguments without a type are dynamically typed (treated as Any) # and that functions without any annotations are not checked def untyped(x): x.anything() + 1 + "string" # no errors # This is how you annotate a callable (function) value x: Callable[[int, float], float] = f def register(callback: Callable[[str], int]) -> None: ... # A generator function that yields ints is secretly just a function that # returns an iterator of ints, so that's how we annotate it def gen(n: int) -> Iterator[int]: i = 0 while i < n: yield i i += 1 # You can of course split a function annotation over multiple lines def send_email( address: str | list[str], sender: str, cc: list[str] | None, bcc: list[str] | None, subject: str = '', body: list[str] | None = None, ) -> bool: ... # Mypy understands positional-only and keyword-only arguments # Positional-only arguments can also be marked by using a name starting with # two underscores def quux(x: int, /, *, y: int) -> None: pass quux(3, y=5) # Ok quux(3, 5) # error: Too many positional arguments for "quux" quux(x=3, y=5) # error: Unexpected keyword argument "x" for "quux" # This says each positional arg and each keyword arg is a "str" def call(self, *args: str, **kwargs: str) -> str: reveal_type(args) # Revealed type is "tuple[str, ...]" reveal_type(kwargs) # Revealed type is "dict[str, str]" request = make_request(*args, **kwargs) return self.do_api_query(request) Classes ******* .. code-block:: python from typing import ClassVar class BankAccount: # The "__init__" method doesn't return anything, so it gets return # type "None" just like any other method that doesn't return anything def __init__(self, account_name: str, initial_balance: int = 0) -> None: # mypy will infer the correct types for these instance variables # based on the types of the parameters. self.account_name = account_name self.balance = initial_balance # For instance methods, omit type for "self" def deposit(self, amount: int) -> None: self.balance += amount def withdraw(self, amount: int) -> None: self.balance -= amount # User-defined classes are valid as types in annotations account: BankAccount = BankAccount("Alice", 400) def transfer(src: BankAccount, dst: BankAccount, amount: int) -> None: src.withdraw(amount) dst.deposit(amount) # Functions that accept BankAccount also accept any subclass of BankAccount! class AuditedBankAccount(BankAccount): # You can optionally declare instance variables in the class body audit_log: list[str] def __init__(self, account_name: str, initial_balance: int = 0) -> None: super().__init__(account_name, initial_balance) self.audit_log: list[str] = [] def deposit(self, amount: int) -> None: self.audit_log.append(f"Deposited {amount}") self.balance += amount def withdraw(self, amount: int) -> None: self.audit_log.append(f"Withdrew {amount}") self.balance -= amount audited = AuditedBankAccount("Bob", 300) transfer(audited, account, 100) # type checks! # You can use the ClassVar annotation to declare a class variable class Car: seats: ClassVar[int] = 4 passengers: ClassVar[list[str]] # If you want dynamic attributes on your class, have it # override "__setattr__" or "__getattr__" class A: # This will allow assignment to any A.x, if x is the same type as "value" # (use "value: Any" to allow arbitrary types) def __setattr__(self, name: str, value: int) -> None: ... # This will allow access to any A.x, if x is compatible with the return type def __getattr__(self, name: str) -> int: ... a = A() a.foo = 42 # Works a.bar = 'Ex-parrot' # Fails type checking When you're puzzled or when things are complicated ************************************************** .. code-block:: python from typing import Union, Any, Optional, TYPE_CHECKING, cast # To find out what type mypy infers for an expression anywhere in # your program, wrap it in reveal_type(). Mypy will print an error # message with the type; remove it again before running the code. reveal_type(1) # Revealed type is "builtins.int" # If you initialize a variable with an empty container or "None" # you may have to help mypy a bit by providing an explicit type annotation x: list[str] = [] x: str | None = None # Use Any if you don't know the type of something or it's too # dynamic to write a type for x: Any = mystery_function() # Mypy will let you do anything with x! x.whatever() * x["you"] + x("want") - any(x) and all(x) is super # no errors # Use a "type: ignore" comment to suppress errors on a given line, # when your code confuses mypy or runs into an outright bug in mypy. # Good practice is to add a comment explaining the issue. x = confusing_function() # type: ignore # confusing_function won't return None here because ... # "cast" is a helper function that lets you override the inferred # type of an expression. It's only for mypy -- there's no runtime check. a = [4] b = cast(list[int], a) # Passes fine c = cast(list[str], a) # Passes fine despite being a lie (no runtime check) reveal_type(c) # Revealed type is "builtins.list[builtins.str]" print(c) # Still prints [4] ... the object is not changed or casted at runtime # Use "TYPE_CHECKING" if you want to have code that mypy can see but will not # be executed at runtime (or to have code that mypy can't see) if TYPE_CHECKING: import json else: import orjson as json # mypy is unaware of this In some cases type annotations can cause issues at runtime, see :ref:`runtime_troubles` for dealing with this. See :ref:`silencing-type-errors` for details on how to silence errors. Standard "duck types" ********************* In typical Python code, many functions that can take a list or a dict as an argument only need their argument to be somehow "list-like" or "dict-like". A specific meaning of "list-like" or "dict-like" (or something-else-like) is called a "duck type", and several duck types that are common in idiomatic Python are standardized. .. code-block:: python from collections.abc import Mapping, MutableMapping, Sequence, Iterable # or 'from typing import ...' (required in Python 3.8) # Use Iterable for generic iterables (anything usable in "for"), # and Sequence where a sequence (supporting "len" and "__getitem__") is # required def f(ints: Iterable[int]) -> list[str]: return [str(x) for x in ints] f(range(1, 3)) # Mapping describes a dict-like object (with "__getitem__") that we won't # mutate, and MutableMapping one (with "__setitem__") that we might def f(my_mapping: Mapping[int, str]) -> list[int]: my_mapping[5] = 'maybe' # mypy will complain about this line... return list(my_mapping.keys()) f({3: 'yes', 4: 'no'}) def f(my_mapping: MutableMapping[int, str]) -> set[str]: my_mapping[5] = 'maybe' # ...but mypy is OK with this. return set(my_mapping.values()) f({3: 'yes', 4: 'no'}) import sys from typing import IO # Use IO[str] or IO[bytes] for functions that should accept or return # objects that come from an open() call (note that IO does not # distinguish between reading, writing or other modes) def get_sys_IO(mode: str = 'w') -> IO[str]: if mode == 'w': return sys.stdout elif mode == 'r': return sys.stdin else: return sys.stdout You can even make your own duck types using :ref:`protocol-types`. Forward references ****************** .. code-block:: python # You may want to reference a class before it is defined. # This is known as a "forward reference". def f(foo: A) -> int: # This will fail at runtime with 'A' is not defined ... # However, if you add the following special import: from __future__ import annotations # It will work at runtime and type checking will succeed as long as there # is a class of that name later on in the file def f(foo: A) -> int: # Ok ... # Another option is to just put the type in quotes def f(foo: 'A') -> int: # Also ok ... class A: # This can also come up if you need to reference a class in a type # annotation inside the definition of that class @classmethod def create(cls) -> A: ... See :ref:`forward-references` for more details. Decorators ********** Decorator functions can be expressed via generics. See :ref:`declaring-decorators` for more details. Example using Python 3.12 syntax: .. code-block:: python from collections.abc import Callable from typing import Any def bare_decorator[F: Callable[..., Any]](func: F) -> F: ... def decorator_args[F: Callable[..., Any]](url: str) -> Callable[[F], F]: ... The same example using pre-3.12 syntax: .. code-block:: python from collections.abc import Callable from typing import Any, TypeVar F = TypeVar('F', bound=Callable[..., Any]) def bare_decorator(func: F) -> F: ... def decorator_args(url: str) -> Callable[[F], F]: ... Coroutines and asyncio ********************** See :ref:`async-and-await` for the full detail on typing coroutines and asynchronous code. .. code-block:: python import asyncio # A coroutine is typed like a normal function async def countdown(tag: str, count: int) -> str: while count > 0: print(f'T-minus {count} ({tag})') await asyncio.sleep(0.1) count -= 1 return "Blastoff!" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/class_basics.rst0000644000175100017510000003047615112307767017704 0ustar00runnerrunner.. _class-basics: Class basics ============ This section will help get you started annotating your classes. Built-in classes such as ``int`` also follow these same rules. Instance and class attributes ***************************** The mypy type checker detects if you are trying to access a missing attribute, which is a very common programming error. For this to work correctly, instance and class attributes must be defined or initialized within the class. Mypy infers the types of attributes: .. code-block:: python class A: def __init__(self, x: int) -> None: self.x = x # Aha, attribute 'x' of type 'int' a = A(1) a.x = 2 # OK! a.y = 3 # Error: "A" has no attribute "y" This is a bit like each class having an implicitly defined :py:data:`__slots__ ` attribute. This is only enforced during type checking and not when your program is running. You can declare types of variables in the class body explicitly using a type annotation: .. code-block:: python class A: x: list[int] # Declare attribute 'x' of type list[int] a = A() a.x = [1] # OK As in Python generally, a variable defined in the class body can be used as a class or an instance variable. (As discussed in the next section, you can override this with a :py:data:`~typing.ClassVar` annotation.) Similarly, you can give explicit types to instance variables defined in a method: .. code-block:: python class A: def __init__(self) -> None: self.x: list[int] = [] def f(self) -> None: self.y: Any = 0 You can only define an instance variable within a method if you assign to it explicitly using ``self``: .. code-block:: python class A: def __init__(self) -> None: self.y = 1 # Define 'y' a = self a.x = 1 # Error: 'x' not defined Annotating __init__ methods *************************** The :py:meth:`__init__ ` method is somewhat special -- it doesn't return a value. This is best expressed as ``-> None``. However, since many feel this is redundant, it is allowed to omit the return type declaration on :py:meth:`__init__ ` methods **if at least one argument is annotated**. For example, in the following classes :py:meth:`__init__ ` is considered fully annotated: .. code-block:: python class C1: def __init__(self) -> None: self.var = 42 class C2: def __init__(self, arg: int): self.var = arg However, if :py:meth:`__init__ ` has no annotated arguments and no return type annotation, it is considered an untyped method: .. code-block:: python class C3: def __init__(self): # This body is not type checked self.var = 42 + 'abc' Class attribute annotations *************************** You can use a :py:data:`ClassVar[t] ` annotation to explicitly declare that a particular attribute should not be set on instances: .. code-block:: python from typing import ClassVar class A: x: ClassVar[int] = 0 # Class variable only A.x += 1 # OK a = A() a.x = 1 # Error: Cannot assign to class variable "x" via instance print(a.x) # OK -- can be read through an instance It's not necessary to annotate all class variables using :py:data:`~typing.ClassVar`. An attribute without the :py:data:`~typing.ClassVar` annotation can still be used as a class variable. However, mypy won't prevent it from being used as an instance variable, as discussed previously: .. code-block:: python class A: x = 0 # Can be used as a class or instance variable A.x += 1 # OK a = A() a.x = 1 # Also OK Note that :py:data:`~typing.ClassVar` is not a class, and you can't use it with :py:func:`isinstance` or :py:func:`issubclass`. It does not change Python runtime behavior -- it's only for type checkers such as mypy (and also helpful for human readers). You can also omit the square brackets and the variable type in a :py:data:`~typing.ClassVar` annotation, but this might not do what you'd expect: .. code-block:: python class A: y: ClassVar = 0 # Type implicitly Any! In this case the type of the attribute will be implicitly ``Any``. This behavior will change in the future, since it's surprising. An explicit :py:data:`~typing.ClassVar` may be particularly handy to distinguish between class and instance variables with callable types. For example: .. code-block:: python from collections.abc import Callable from typing import ClassVar class A: foo: Callable[[int], None] bar: ClassVar[Callable[[A, int], None]] bad: Callable[[A], None] A().foo(42) # OK A().bar(42) # OK A().bad() # Error: Too few arguments .. note:: A :py:data:`~typing.ClassVar` type parameter cannot include type variables: ``ClassVar[T]`` and ``ClassVar[list[T]]`` are both invalid if ``T`` is a type variable (see :ref:`generic-classes` for more about type variables). Overriding statically typed methods *********************************** When overriding a statically typed method, mypy checks that the override has a compatible signature: .. code-block:: python class Base: def f(self, x: int) -> None: ... class Derived1(Base): def f(self, x: str) -> None: # Error: type of 'x' incompatible ... class Derived2(Base): def f(self, x: int, y: int) -> None: # Error: too many arguments ... class Derived3(Base): def f(self, x: int) -> None: # OK ... class Derived4(Base): def f(self, x: float) -> None: # OK: mypy treats int as a subtype of float ... class Derived5(Base): def f(self, x: int, y: int = 0) -> None: # OK: accepts more than the base ... # class method .. note:: You can also vary return types **covariantly** in overriding. For example, you could override the return type ``Iterable[int]`` with a subtype such as ``list[int]``. Similarly, you can vary argument types **contravariantly** -- subclasses can have more general argument types. In order to ensure that your code remains correct when renaming methods, it can be helpful to explicitly mark a method as overriding a base method. This can be done with the ``@override`` decorator. ``@override`` can be imported from ``typing`` starting with Python 3.12 or from ``typing_extensions`` for use with older Python versions. If the base method is then renamed while the overriding method is not, mypy will show an error: .. code-block:: python from typing import override class Base: def f(self, x: int) -> None: ... def g_renamed(self, y: str) -> None: ... class Derived1(Base): @override def f(self, x: int) -> None: # OK ... @override def g(self, y: str) -> None: # Error: no corresponding base method found ... .. note:: Use :ref:`--enable-error-code explicit-override ` to require that method overrides use the ``@override`` decorator. Emit an error if it is missing. You can also override a statically typed method with a dynamically typed one. This allows dynamically typed code to override methods defined in library classes without worrying about their type signatures. As always, relying on dynamically typed code can be unsafe. There is no runtime enforcement that the method override returns a value that is compatible with the original return type, since annotations have no effect at runtime: .. code-block:: python class Base: def inc(self, x: int) -> int: return x + 1 class Derived(Base): def inc(self, x): # Override, dynamically typed return 'hello' # Incompatible with 'Base', but no mypy error Abstract base classes and multiple inheritance ********************************************** Mypy supports Python :doc:`abstract base classes ` (ABCs). Abstract classes have at least one abstract method or property that must be implemented by any *concrete* (non-abstract) subclass. You can define abstract base classes using the :py:class:`abc.ABCMeta` metaclass and the :py:func:`@abc.abstractmethod ` function decorator. Example: .. code-block:: python from abc import ABCMeta, abstractmethod class Animal(metaclass=ABCMeta): @abstractmethod def eat(self, food: str) -> None: pass @property @abstractmethod def can_walk(self) -> bool: pass class Cat(Animal): def eat(self, food: str) -> None: ... # Body omitted @property def can_walk(self) -> bool: return True x = Animal() # Error: 'Animal' is abstract due to 'eat' and 'can_walk' y = Cat() # OK Note that mypy performs checking for unimplemented abstract methods even if you omit the :py:class:`~abc.ABCMeta` metaclass. This can be useful if the metaclass would cause runtime metaclass conflicts. Since you can't create instances of ABCs, they are most commonly used in type annotations. For example, this method accepts arbitrary iterables containing arbitrary animals (instances of concrete ``Animal`` subclasses): .. code-block:: python def feed_all(animals: Iterable[Animal], food: str) -> None: for animal in animals: animal.eat(food) There is one important peculiarity about how ABCs work in Python -- whether a particular class is abstract or not is somewhat implicit. In the example below, ``Derived`` is treated as an abstract base class since ``Derived`` inherits an abstract ``f`` method from ``Base`` and doesn't explicitly implement it. The definition of ``Derived`` generates no errors from mypy, since it's a valid ABC: .. code-block:: python from abc import ABCMeta, abstractmethod class Base(metaclass=ABCMeta): @abstractmethod def f(self, x: int) -> None: pass class Derived(Base): # No error -- Derived is implicitly abstract def g(self) -> None: ... Attempting to create an instance of ``Derived`` will be rejected, however: .. code-block:: python d = Derived() # Error: 'Derived' is abstract .. note:: It's a common error to forget to implement an abstract method. As shown above, the class definition will not generate an error in this case, but any attempt to construct an instance will be flagged as an error. Mypy allows you to omit the body for an abstract method, but if you do so, it is unsafe to call such method via ``super()``. For example: .. code-block:: python from abc import abstractmethod class Base: @abstractmethod def foo(self) -> int: pass @abstractmethod def bar(self) -> int: return 0 class Sub(Base): def foo(self) -> int: return super().foo() + 1 # error: Call to abstract method "foo" of "Base" # with trivial body via super() is unsafe @abstractmethod def bar(self) -> int: return super().bar() + 1 # This is OK however. A class can inherit any number of classes, both abstract and concrete. As with normal overrides, a dynamically typed method can override or implement a statically typed method defined in any base class, including an abstract method defined in an abstract base class. You can implement an abstract property using either a normal property or an instance variable. Slots ***** When a class has explicitly defined :std:term:`__slots__`, mypy will check that all attributes assigned to are members of ``__slots__``: .. code-block:: python class Album: __slots__ = ('name', 'year') def __init__(self, name: str, year: int) -> None: self.name = name self.year = year # Error: Trying to assign name "released" that is not in "__slots__" of type "Album" self.released = True my_album = Album('Songs about Python', 2021) Mypy will only check attribute assignments against ``__slots__`` when the following conditions hold: 1. All base classes (except builtin ones) must have explicit ``__slots__`` defined (this mirrors Python semantics). 2. ``__slots__`` does not include ``__dict__``. If ``__slots__`` includes ``__dict__``, arbitrary attributes can be set, similar to when ``__slots__`` is not defined (this mirrors Python semantics). 3. All values in ``__slots__`` must be string literals. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/command_line.rst0000644000175100017510000013236215112307767017675 0ustar00runnerrunner.. _command-line: .. program:: mypy The mypy command line ===================== This section documents mypy's command line interface. You can view a quick summary of the available flags by running :option:`mypy --help`. .. note:: Command line flags are liable to change between releases. Specifying what to type check ***************************** By default, you can specify what code you want mypy to type check by passing in the paths to what you want to have type checked:: $ mypy foo.py bar.py some_directory Note that directories are checked recursively. Mypy also lets you specify what code to type check in several other ways. A short summary of the relevant flags is included below: for full details, see :ref:`running-mypy`. .. option:: -m MODULE, --module MODULE Asks mypy to type check the provided module. This flag may be repeated multiple times. Mypy *will not* recursively type check any submodules of the provided module. .. option:: -p PACKAGE, --package PACKAGE Asks mypy to type check the provided package. This flag may be repeated multiple times. Mypy *will* recursively type check any submodules of the provided package. This flag is identical to :option:`--module` apart from this behavior. .. option:: -c PROGRAM_TEXT, --command PROGRAM_TEXT Asks mypy to type check the provided string as a program. .. option:: --exclude A regular expression that matches file names, directory names and paths which mypy should ignore while recursively discovering files to check. Use forward slashes on all platforms. For instance, to avoid discovering any files named `setup.py` you could pass ``--exclude '/setup\.py$'``. Similarly, you can ignore discovering directories with a given name by e.g. ``--exclude /build/`` or those matching a subpath with ``--exclude /project/vendor/``. To ignore multiple files / directories / paths, you can provide the --exclude flag more than once, e.g ``--exclude '/setup\.py$' --exclude '/build/'``. Note that this flag only affects recursive directory tree discovery, that is, when mypy is discovering files within a directory tree or submodules of a package to check. If you pass a file or module explicitly it will still be checked. For instance, ``mypy --exclude '/setup.py$' but_still_check/setup.py``. In particular, ``--exclude`` does not affect mypy's discovery of files via :ref:`import following `. You can use a per-module :confval:`ignore_errors` config option to silence errors from a given module, or a per-module :confval:`follow_imports` config option to additionally avoid mypy from following imports and checking code you do not wish to be checked. Note that mypy will never recursively discover files and directories named "site-packages", "node_modules" or "__pycache__", or those whose name starts with a period, exactly as ``--exclude '/(site-packages|node_modules|__pycache__|\..*)/$'`` would. Mypy will also never recursively discover files with extensions other than ``.py`` or ``.pyi``. .. option:: --exclude-gitignore This flag will add everything that matches ``.gitignore`` file(s) to :option:`--exclude`. Optional arguments ****************** .. option:: -h, --help Show help message and exit. .. option:: -v, --verbose More verbose messages. .. option:: -V, --version Show program's version number and exit. .. option:: -O FORMAT, --output FORMAT {json} Set a custom output format. .. _config-file-flag: Config file *********** .. option:: --config-file CONFIG_FILE This flag makes mypy read configuration settings from the given file. By default settings are read from ``mypy.ini``, ``.mypy.ini``, ``pyproject.toml``, or ``setup.cfg`` in the current directory. Settings override mypy's built-in defaults and command line flags can override settings. Specifying :option:`--config-file= <--config-file>` (with no filename) will ignore *all* config files. See :ref:`config-file` for the syntax of configuration files. .. option:: --warn-unused-configs This flag makes mypy warn about unused ``[mypy-]`` config file sections. (This requires turning off incremental mode using :option:`--no-incremental`.) .. _import-discovery: Import discovery **************** The following flags customize how exactly mypy discovers and follows imports. .. option:: --explicit-package-bases This flag tells mypy that top-level packages will be based in either the current directory, or a member of the ``MYPYPATH`` environment variable or :confval:`mypy_path` config option. This option is only useful in the absence of `__init__.py`. See :ref:`Mapping file paths to modules ` for details. .. option:: --ignore-missing-imports This flag makes mypy ignore all missing imports. It is equivalent to adding ``# type: ignore`` comments to all unresolved imports within your codebase. Note that this flag does *not* suppress errors about missing names in successfully resolved modules. For example, if one has the following files:: package/__init__.py package/mod.py Then mypy will generate the following errors with :option:`--ignore-missing-imports`: .. code-block:: python import package.unknown # No error, ignored x = package.unknown.func() # OK. 'func' is assumed to be of type 'Any' from package import unknown # No error, ignored from package.mod import NonExisting # Error: Module has no attribute 'NonExisting' For more details, see :ref:`ignore-missing-imports`. .. option:: --follow-untyped-imports This flag makes mypy analyze imports from installed packages even if missing a :ref:`py.typed marker or stubs `. .. warning:: Note that analyzing all unannotated modules might result in issues when analyzing code not designed to be type checked and may significantly increase how long mypy takes to run. .. option:: --follow-imports {normal,silent,skip,error} This flag adjusts how mypy follows imported modules that were not explicitly passed in via the command line. The default option is ``normal``: mypy will follow and type check all modules. For more information on what the other options do, see :ref:`Following imports `. .. option:: --python-executable EXECUTABLE This flag will have mypy collect type information from :pep:`561` compliant packages installed for the Python executable ``EXECUTABLE``. If not provided, mypy will use PEP 561 compliant packages installed for the Python executable running mypy. See :ref:`installed-packages` for more on making PEP 561 compliant packages. .. option:: --no-site-packages This flag will disable searching for :pep:`561` compliant packages. This will also disable searching for a usable Python executable. Use this flag if mypy cannot find a Python executable for the version of Python being checked, and you don't need to use PEP 561 typed packages. Otherwise, use :option:`--python-executable`. .. option:: --no-silence-site-packages By default, mypy will suppress any error messages generated within :pep:`561` compliant packages. Adding this flag will disable this behavior. .. option:: --fast-module-lookup The default logic used to scan through search paths to resolve imports has a quadratic worse-case behavior in some cases, which is for instance triggered by a large number of folders sharing a top-level namespace as in:: foo/ company/ foo/ a.py bar/ company/ bar/ b.py baz/ company/ baz/ c.py ... If you are in this situation, you can enable an experimental fast path by setting the :option:`--fast-module-lookup` option. .. option:: --no-namespace-packages This flag disables import discovery of namespace packages (see :pep:`420`). In particular, this prevents discovery of packages that don't have an ``__init__.py`` (or ``__init__.pyi``) file. This flag affects how mypy finds modules and packages explicitly passed on the command line. It also affects how mypy determines fully qualified module names for files passed on the command line. See :ref:`Mapping file paths to modules ` for details. .. _platform-configuration: Platform configuration ********************** By default, mypy will assume that you intend to run your code using the same operating system and Python version you are using to run mypy itself. The following flags let you modify this behavior. For more information on how to use these flags, see :ref:`version_and_platform_checks`. .. option:: --python-version X.Y This flag will make mypy type check your code as if it were run under Python version X.Y. Without this option, mypy will default to using whatever version of Python is running mypy. This flag will attempt to find a Python executable of the corresponding version to search for :pep:`561` compliant packages. If you'd like to disable this, use the :option:`--no-site-packages` flag (see :ref:`import-discovery` for more details). .. option:: --platform PLATFORM This flag will make mypy type check your code as if it were run under the given operating system. Without this option, mypy will default to using whatever operating system you are currently using. The ``PLATFORM`` parameter may be any string supported by :py:data:`sys.platform`. .. _always-true: .. option:: --always-true NAME This flag will treat all variables named ``NAME`` as compile-time constants that are always true. This flag may be repeated. .. option:: --always-false NAME This flag will treat all variables named ``NAME`` as compile-time constants that are always false. This flag may be repeated. .. _disallow-dynamic-typing: Disallow dynamic typing *********************** The ``Any`` type is used to represent a value that has a :ref:`dynamic type `. The ``--disallow-any`` family of flags will disallow various uses of the ``Any`` type in a module -- this lets us strategically disallow the use of dynamic typing in a controlled way. The following options are available: .. option:: --disallow-any-unimported This flag disallows usage of types that come from unfollowed imports (such types become aliases for ``Any``). Unfollowed imports occur either when the imported module does not exist or when :option:`--follow-imports=skip <--follow-imports>` is set. .. option:: --disallow-any-expr This flag disallows all expressions in the module that have type ``Any``. If an expression of type ``Any`` appears anywhere in the module mypy will output an error unless the expression is immediately used as an argument to :py:func:`~typing.cast` or assigned to a variable with an explicit type annotation. In addition, declaring a variable of type ``Any`` or casting to type ``Any`` is not allowed. Note that calling functions that take parameters of type ``Any`` is still allowed. .. option:: --disallow-any-decorated This flag disallows functions that have ``Any`` in their signature after decorator transformation. .. option:: --disallow-any-explicit This flag disallows explicit ``Any`` in type positions such as type annotations and generic type parameters. .. option:: --disallow-any-generics This flag disallows usage of generic types that do not specify explicit type parameters. For example, you can't use a bare ``x: list``. Instead, you must always write something like ``x: list[int]``. .. option:: --disallow-subclassing-any This flag reports an error whenever a class subclasses a value of type ``Any``. This may occur when the base class is imported from a module that doesn't exist (when using :option:`--ignore-missing-imports`) or is ignored due to :option:`--follow-imports=skip <--follow-imports>` or a ``# type: ignore`` comment on the ``import`` statement. Since the module is silenced, the imported class is given a type of ``Any``. By default mypy will assume that the subclass correctly inherited the base class even though that may not actually be the case. This flag makes mypy raise an error instead. .. _untyped-definitions-and-calls: Untyped definitions and calls ***************************** The following flags configure how mypy handles untyped function definitions or calls. .. option:: --disallow-untyped-calls This flag reports an error whenever a function with type annotations calls a function defined without annotations. .. option:: --untyped-calls-exclude This flag allows one to selectively disable :option:`--disallow-untyped-calls` for functions and methods defined in specific packages, modules, or classes. Note that each exclude entry acts as a prefix. For example (assuming there are no type annotations for ``third_party_lib`` available): .. code-block:: python # mypy --disallow-untyped-calls # --untyped-calls-exclude=third_party_lib.module_a # --untyped-calls-exclude=foo.A from third_party_lib.module_a import some_func from third_party_lib.module_b import other_func import foo some_func() # OK, function comes from module `third_party_lib.module_a` other_func() # E: Call to untyped function "other_func" in typed context foo.A().meth() # OK, method was defined in class `foo.A` foo.B().meth() # E: Call to untyped function "meth" in typed context # file foo.py class A: def meth(self): pass class B: def meth(self): pass .. option:: --disallow-untyped-defs This flag reports an error whenever it encounters a function definition without type annotations or with incomplete type annotations. (a superset of :option:`--disallow-incomplete-defs`). For example, it would report an error for :code:`def f(a, b)` and :code:`def f(a: int, b)`. .. option:: --disallow-incomplete-defs This flag reports an error whenever it encounters a partly annotated function definition, while still allowing entirely unannotated definitions. For example, it would report an error for :code:`def f(a: int, b)` but not :code:`def f(a, b)`. .. option:: --check-untyped-defs This flag is less severe than the previous two options -- it type checks the body of every function, regardless of whether it has type annotations. (By default the bodies of functions without annotations are not type checked.) It will assume all arguments have type ``Any`` and always infer ``Any`` as the return type. .. option:: --disallow-untyped-decorators This flag reports an error whenever a function with type annotations is decorated with a decorator without annotations. .. _none-and-optional-handling: None and Optional handling ************************** The following flags adjust how mypy handles values of type ``None``. .. _implicit-optional: .. option:: --implicit-optional This flag causes mypy to treat parameters with a ``None`` default value as having an implicit optional type (``T | None``). For example, if this flag is set, mypy would assume that the ``x`` parameter is actually of type ``int | None`` in the code snippet below, since the default parameter is ``None``: .. code-block:: python def foo(x: int = None) -> None: print(x) **Note:** This was disabled by default starting in mypy 0.980. .. _no_strict_optional: .. option:: --no-strict-optional This flag effectively disables checking of optional types and ``None`` values. With this option, mypy doesn't generally check the use of ``None`` values -- it is treated as compatible with every type. .. warning:: ``--no-strict-optional`` is evil. Avoid using it and definitely do not use it without understanding what it does. .. _configuring-warnings: Configuring warnings ******************** The following flags enable warnings for code that is sound but is potentially problematic or redundant in some way. .. option:: --warn-redundant-casts This flag will make mypy report an error whenever your code uses an unnecessary cast that can safely be removed. .. option:: --warn-unused-ignores This flag will make mypy report an error whenever your code uses a ``# type: ignore`` comment on a line that is not actually generating an error message. This flag, along with the :option:`--warn-redundant-casts` flag, are both particularly useful when you are upgrading mypy. Previously, you may have needed to add casts or ``# type: ignore`` annotations to work around bugs in mypy or missing stubs for 3rd party libraries. These two flags let you discover cases where either workarounds are no longer necessary. .. option:: --no-warn-no-return By default, mypy will generate errors when a function is missing return statements in some execution paths. The only exceptions are when: - The function has a ``None`` or ``Any`` return type - The function has an empty body and is marked as an abstract method, is in a protocol class, or is in a stub file - The execution path can never return; for example, if an exception is always raised Passing in :option:`--no-warn-no-return` will disable these error messages in all cases. .. option:: --warn-return-any This flag causes mypy to generate a warning when returning a value with type ``Any`` from a function declared with a non-``Any`` return type. .. option:: --warn-unreachable This flag will make mypy report an error whenever it encounters code determined to be unreachable or redundant after performing type analysis. This can be a helpful way of detecting certain kinds of bugs in your code. For example, enabling this flag will make mypy report that the ``x > 7`` check is redundant and that the ``else`` block below is unreachable. .. code-block:: python def process(x: int) -> None: # Error: Right operand of "or" is never evaluated if isinstance(x, int) or x > 7: # Error: Unsupported operand types for + ("int" and "str") print(x + "bad") else: # Error: 'Statement is unreachable' error print(x + "bad") To help prevent mypy from generating spurious warnings, the "Statement is unreachable" warning will be silenced in exactly two cases: 1. When the unreachable statement is a ``raise`` statement, is an ``assert False`` statement, or calls a function that has the :py:data:`~typing.NoReturn` return type hint. In other words, when the unreachable statement throws an error or terminates the program in some way. 2. When the unreachable statement was *intentionally* marked as unreachable using :ref:`version_and_platform_checks`. .. note:: Mypy currently cannot detect and report unreachable or redundant code inside any functions using :ref:`type-variable-value-restriction`. This limitation will be removed in future releases of mypy. .. option:: --report-deprecated-as-note If error code ``deprecated`` is enabled, mypy emits errors if your code imports or uses deprecated features. This flag converts such errors to notes, causing mypy to eventually finish with a zero exit code. Features are considered deprecated when decorated with ``warnings.deprecated``. .. option:: --deprecated-calls-exclude This flag allows one to selectively disable :ref:`deprecated` warnings for functions and methods defined in specific packages, modules, or classes. Note that each exclude entry acts as a prefix. For example (assuming ``foo.A.func`` is deprecated): .. code-block:: python # mypy --enable-error-code deprecated # --deprecated-calls-exclude=foo.A import foo foo.A().func() # OK, the deprecated warning is ignored # file foo.py from typing_extensions import deprecated class A: @deprecated("Use A.func2 instead") def func(self): pass .. _miscellaneous-strictness-flags: Miscellaneous strictness flags ****************************** This section documents any other flags that do not neatly fall under any of the above sections. .. option:: --allow-untyped-globals This flag causes mypy to suppress errors caused by not being able to fully infer the types of global and class variables. .. option:: --allow-redefinition-new By default, mypy won't allow a variable to be redefined with an unrelated type. This *experimental* flag enables the redefinition of unannotated variables with an arbitrary type. You will also need to enable :option:`--local-partial-types `. Example: .. code-block:: python def maybe_convert(n: int, b: bool) -> int | str: if b: x = str(n) # Assign "str" else: x = n # Assign "int" # Type of "x" is "int | str" here. return x Without the new flag, mypy only supports inferring optional types (``X | None``) from multiple assignments. With this option enabled, mypy can infer arbitrary union types. This also enables an unannotated variable to have different types in different code locations: .. code-block:: python if check(): for x in range(n): # Type of "x" is "int" here. ... else: for x in ['a', 'b']: # Type of "x" is "str" here. ... Note: We are planning to turn this flag on by default in a future mypy release, along with :option:`--local-partial-types `. The feature is still experimental, and the semantics may still change. .. option:: --allow-redefinition This is an older variant of :option:`--allow-redefinition-new `. This flag enables redefinition of a variable with an arbitrary type *in some contexts*: only redefinitions within the same block and nesting depth as the original definition are allowed. We have no plans to remove this flag, but we expect that :option:`--allow-redefinition-new ` will replace this flag for new use cases eventually. Example where this can be useful: .. code-block:: python def process(items: list[str]) -> None: # 'items' has type list[str] items = [item.split() for item in items] # 'items' now has type list[list[str]] The variable must be used before it can be redefined: .. code-block:: python def process(items: list[str]) -> None: items = "mypy" # invalid redefinition to str because the variable hasn't been used yet print(items) items = "100" # valid, items now has type str items = int(items) # valid, items now has type int .. option:: --local-partial-types In mypy, the most common cases for partial types are variables initialized using ``None``, but without explicit ``X | None`` annotations. By default, mypy won't check partial types spanning module top level or class top level. This flag changes the behavior to only allow partial types at local level, therefore it disallows inferring variable type for ``None`` from two assignments in different scopes. For example: .. code-block:: python a = None # Need type annotation here if using --local-partial-types b: int | None = None class Foo: bar = None # Need type annotation here if using --local-partial-types baz: int | None = None def __init__(self) -> None: self.bar = 1 reveal_type(Foo().bar) # 'int | None' without --local-partial-types Note: this option is always implicitly enabled in mypy daemon and will become enabled by default for mypy in a future release. .. option:: --no-implicit-reexport By default, imported values to a module are treated as exported and mypy allows other modules to import them. This flag changes the behavior to not re-export unless the item is imported using from-as or is included in ``__all__``. Note this is always treated as enabled for stub files. For example: .. code-block:: python # This won't re-export the value from foo import bar # Neither will this from foo import bar as bang # This will re-export it as bar and allow other modules to import it from foo import bar as bar # This will also re-export bar from foo import bar __all__ = ['bar'] .. option:: --strict-equality By default, mypy allows always-false comparisons like ``42 == 'no'``. Use this flag to prohibit such comparisons of non-overlapping types, and similar identity and container checks: .. code-block:: python items: list[int] if 'some string' in items: # Error: non-overlapping container check! ... text: str if text != b'other bytes': # Error: non-overlapping equality check! ... assert text is not None # OK, check against None is allowed .. option:: --strict-equality-for-none This flag extends :option:`--strict-equality ` for checks against ``None``: .. code-block:: python text: str assert text is not None # Error: non-overlapping identity check! Note that :option:`--strict-equality-for-none ` only works in combination with :option:`--strict-equality `. .. option:: --strict-bytes By default, mypy treats ``bytearray`` and ``memoryview`` as subtypes of ``bytes`` which is not true at runtime. Use this flag to disable this behavior. ``--strict-bytes`` will be enabled by default in *mypy 2.0*. .. code-block:: python def f(buf: bytes) -> None: assert isinstance(buf, bytes) # Raises runtime AssertionError with bytearray/memoryview with open("binary_file", "wb") as fp: fp.write(buf) f(bytearray(b"")) # error: Argument 1 to "f" has incompatible type "bytearray"; expected "bytes" f(memoryview(b"")) # error: Argument 1 to "f" has incompatible type "memoryview"; expected "bytes" # If `f` accepts any object that implements the buffer protocol, consider using: from collections.abc import Buffer # "from typing_extensions" in Python 3.11 and earlier def f(buf: Buffer) -> None: with open("binary_file", "wb") as fp: fp.write(buf) f(b"") # Ok f(bytearray(b"")) # Ok f(memoryview(b"")) # Ok .. option:: --extra-checks This flag enables additional checks that are technically correct but may be impractical. In particular, it prohibits partial overlap in ``TypedDict`` updates, and makes arguments prepended via ``Concatenate`` positional-only. For example: .. code-block:: python from typing import TypedDict class Foo(TypedDict): a: int class Bar(TypedDict): a: int b: int def test(foo: Foo, bar: Bar) -> None: # This is technically unsafe since foo can have a subtype of Foo at # runtime, where type of key "b" is incompatible with int, see below bar.update(foo) class Bad(Foo): b: str bad: Bad = {"a": 0, "b": "no"} test(bad, bar) In future more checks may be added to this flag if: * The corresponding use cases are rare, thus not justifying a dedicated strictness flag. * The new check cannot be supported as an opt-in error code. .. option:: --strict This flag mode enables a defined subset of optional error-checking flags. This subset primarily includes checks for inadvertent type unsoundness (i.e strict will catch type errors as long as intentional methods like type ignore or casting were not used.) Note: the :option:`--warn-unreachable` flag is not automatically enabled by the strict flag. The strict flag does not take precedence over other strict-related flags. Directly specifying a flag of alternate behavior will override the behavior of strict, regardless of the order in which they are passed. You can see the list of flags enabled by strict mode in the full :option:`mypy --help` output. Note: the exact list of flags enabled by running :option:`--strict` may change over time. .. include:: strict_list.rst .. The above file is autogenerated and included during html generation. (That's an include directive, and this is a comment.) It would be fine to generate it at some other time instead, theoretically, but we already had a convenient hook during html gen. .. option:: --disable-error-code This flag allows disabling one or multiple error codes globally. See :ref:`error-codes` for more information. .. code-block:: python # no flag x = 'a string' x.trim() # error: "str" has no attribute "trim" [attr-defined] # When using --disable-error-code attr-defined x = 'a string' x.trim() .. option:: --enable-error-code This flag allows enabling one or multiple error codes globally. See :ref:`error-codes` for more information. Note: This flag will override disabled error codes from the :option:`--disable-error-code ` flag. .. code-block:: python # When using --disable-error-code attr-defined x = 'a string' x.trim() # --disable-error-code attr-defined --enable-error-code attr-defined x = 'a string' x.trim() # error: "str" has no attribute "trim" [attr-defined] .. _configuring-error-messages: Configuring error messages ************************** The following flags let you adjust how much detail mypy displays in error messages. .. option:: --show-error-context This flag will precede all errors with "note" messages explaining the context of the error. For example, consider the following program: .. code-block:: python class Test: def foo(self, x: int) -> int: return x + "bar" Mypy normally displays an error message that looks like this:: main.py:3: error: Unsupported operand types for + ("int" and "str") If we enable this flag, the error message now looks like this:: main.py: note: In member "foo" of class "Test": main.py:3: error: Unsupported operand types for + ("int" and "str") .. option:: --show-column-numbers This flag will add column offsets to error messages. For example, the following indicates an error in line 12, column 9 (note that column offsets are 0-based):: main.py:12:9: error: Unsupported operand types for / ("int" and "str") .. option:: --show-error-code-links This flag will also display a link to error code documentation, anchored to the error code reported by mypy. The corresponding error code will be highlighted within the documentation page. If we enable this flag, the error message now looks like this:: main.py:3: error: Unsupported operand types for - ("int" and "str") [operator] main.py:3: note: See 'https://mypy.rtfd.io/en/stable/_refs.html#code-operator' for more info .. option:: --show-error-end This flag will make mypy show not just that start position where an error was detected, but also the end position of the relevant expression. This way various tools can easily highlight the whole error span. The format is ``file:line:column:end_line:end_column``. This option implies ``--show-column-numbers``. .. option:: --hide-error-codes This flag will hide the error code ``[]`` from error messages. By default, the error code is shown after each error message:: prog.py:1: error: "str" has no attribute "trim" [attr-defined] See :ref:`error-codes` for more information. .. option:: --pretty Use visually nicer output in error messages: use soft word wrap, show source code snippets, and show error location markers. .. option:: --no-color-output This flag will disable color output in error messages, enabled by default. .. option:: --no-error-summary This flag will disable error summary. By default mypy shows a summary line including total number of errors, number of files with errors, and number of files checked. .. option:: --show-absolute-path Show absolute paths to files. .. option:: --soft-error-limit N This flag will adjust the limit after which mypy will (sometimes) disable reporting most additional errors. The limit only applies if it seems likely that most of the remaining errors will not be useful or they may be overly noisy. If ``N`` is negative, there is no limit. The default limit is -1. .. option:: --force-union-syntax Always use ``Union[]`` and ``Optional[]`` for union types in error messages (instead of the ``|`` operator), even on Python 3.10+. .. _incremental: Incremental mode **************** By default, mypy will store type information into a cache. Mypy will use this information to avoid unnecessary recomputation when it type checks your code again. This can help speed up the type checking process, especially when most parts of your program have not changed since the previous mypy run. If you want to speed up how long it takes to recheck your code beyond what incremental mode can offer, try running mypy in :ref:`daemon mode `. .. option:: --no-incremental This flag disables incremental mode: mypy will no longer reference the cache when re-run. Note that mypy will still write out to the cache even when incremental mode is disabled: see the :option:`--cache-dir` flag below for more details. .. option:: --cache-dir DIR By default, mypy stores all cache data inside of a folder named ``.mypy_cache`` in the current directory. This flag lets you change this folder. This flag can also be useful for controlling cache use when using :ref:`remote caching `. This setting will override the ``MYPY_CACHE_DIR`` environment variable if it is set. Mypy will also always write to the cache even when incremental mode is disabled so it can "warm up" the cache. To disable writing to the cache, use ``--cache-dir=/dev/null`` (UNIX) or ``--cache-dir=nul`` (Windows). .. option:: --sqlite-cache Use an `SQLite`_ database to store the cache. .. option:: --cache-fine-grained Include fine-grained dependency information in the cache for the mypy daemon. .. option:: --skip-version-check By default, mypy will ignore cache data generated by a different version of mypy. This flag disables that behavior. .. option:: --skip-cache-mtime-checks Skip cache internal consistency checks based on mtime. Advanced options **************** The following flags are useful mostly for people who are interested in developing or debugging mypy internals. .. option:: --pdb This flag will invoke the Python debugger when mypy encounters a fatal error. .. option:: --show-traceback, --tb If set, this flag will display a full traceback when mypy encounters a fatal error. .. option:: --raise-exceptions Raise exception on fatal error. .. option:: --custom-typing-module MODULE This flag lets you use a custom module as a substitute for the :py:mod:`typing` module. .. option:: --custom-typeshed-dir DIR This flag specifies the directory where mypy looks for standard library typeshed stubs, instead of the typeshed that ships with mypy. This is primarily intended to make it easier to test typeshed changes before submitting them upstream, but also allows you to use a forked version of typeshed. Note that this doesn't affect third-party library stubs. To test third-party stubs, for example try ``MYPYPATH=stubs/six mypy ...``. .. _warn-incomplete-stub: .. option:: --warn-incomplete-stub This flag modifies both the :option:`--disallow-untyped-defs` and :option:`--disallow-incomplete-defs` flags so they also report errors if stubs in typeshed are missing type annotations or has incomplete annotations. If both flags are missing, :option:`--warn-incomplete-stub` also does nothing. This flag is mainly intended to be used by people who want contribute to typeshed and would like a convenient way to find gaps and omissions. If you want mypy to report an error when your codebase *uses* an untyped function, whether that function is defined in typeshed or not, use the :option:`--disallow-untyped-calls` flag. See :ref:`untyped-definitions-and-calls` for more details. .. _shadow-file: .. option:: --shadow-file SOURCE_FILE SHADOW_FILE When mypy is asked to type check ``SOURCE_FILE``, this flag makes mypy read from and type check the contents of ``SHADOW_FILE`` instead. However, diagnostics will continue to refer to ``SOURCE_FILE``. Specifying this argument multiple times (``--shadow-file X1 Y1 --shadow-file X2 Y2``) will allow mypy to perform multiple substitutions. This allows tooling to create temporary files with helpful modifications without having to change the source file in place. For example, suppose we have a pipeline that adds ``reveal_type`` for certain variables. This pipeline is run on ``original.py`` to produce ``temp.py``. Running ``mypy --shadow-file original.py temp.py original.py`` will then cause mypy to type check the contents of ``temp.py`` instead of ``original.py``, but error messages will still reference ``original.py``. Report generation ***************** If these flags are set, mypy will generate a report in the specified format into the specified directory. .. option:: --any-exprs-report DIR Causes mypy to generate a text file report documenting how many expressions of type ``Any`` are present within your codebase. .. option:: --cobertura-xml-report DIR Causes mypy to generate a Cobertura XML type checking coverage report. To generate this report, you must either manually install the `lxml`_ library or specify mypy installation with the setuptools extra ``mypy[reports]``. .. option:: --html-report / --xslt-html-report DIR Causes mypy to generate an HTML type checking coverage report. To generate this report, you must either manually install the `lxml`_ library or specify mypy installation with the setuptools extra ``mypy[reports]``. .. option:: --linecount-report DIR Causes mypy to generate a text file report documenting the functions and lines that are typed and untyped within your codebase. .. option:: --linecoverage-report DIR Causes mypy to generate a JSON file that maps each source file's absolute filename to a list of line numbers that belong to typed functions in that file. .. option:: --lineprecision-report DIR Causes mypy to generate a flat text file report with per-module statistics of how many lines are typechecked etc. .. option:: --txt-report / --xslt-txt-report DIR Causes mypy to generate a text file type checking coverage report. To generate this report, you must either manually install the `lxml`_ library or specify mypy installation with the setuptools extra ``mypy[reports]``. .. option:: --xml-report DIR Causes mypy to generate an XML type checking coverage report. To generate this report, you must either manually install the `lxml`_ library or specify mypy installation with the setuptools extra ``mypy[reports]``. Enabling incomplete/experimental features ***************************************** .. option:: --enable-incomplete-feature {PreciseTupleTypes,InlineTypedDict,TypeForm} Some features may require several mypy releases to implement, for example due to their complexity, potential for backwards incompatibility, or ambiguous semantics that would benefit from feedback from the community. You can enable such features for early preview using this flag. Note that it is not guaranteed that all features will be ultimately enabled by default. In *rare cases* we may decide to not go ahead with certain features. List of currently incomplete/experimental features: * ``PreciseTupleTypes``: this feature will infer more precise tuple types in various scenarios. Before variadic types were added to the Python type system by :pep:`646`, it was impossible to express a type like "a tuple with at least two integers". The best type available was ``tuple[int, ...]``. Therefore, mypy applied very lenient checking for variable-length tuples. Now this type can be expressed as ``tuple[int, int, *tuple[int, ...]]``. For such more precise types (when explicitly *defined* by a user) mypy, for example, warns about unsafe index access, and generally handles them in a type-safe manner. However, to avoid problems in existing code, mypy does not *infer* these precise types when it technically can. Here are notable examples where ``PreciseTupleTypes`` infers more precise types: .. code-block:: python numbers: tuple[int, ...] more_numbers = (1, *numbers, 1) reveal_type(more_numbers) # Without PreciseTupleTypes: tuple[int, ...] # With PreciseTupleTypes: tuple[int, *tuple[int, ...], int] other_numbers = (1, 1) + numbers reveal_type(other_numbers) # Without PreciseTupleTypes: tuple[int, ...] # With PreciseTupleTypes: tuple[int, int, *tuple[int, ...]] if len(numbers) > 2: reveal_type(numbers) # Without PreciseTupleTypes: tuple[int, ...] # With PreciseTupleTypes: tuple[int, int, int, *tuple[int, ...]] else: reveal_type(numbers) # Without PreciseTupleTypes: tuple[int, ...] # With PreciseTupleTypes: tuple[()] | tuple[int] | tuple[int, int] * ``InlineTypedDict``: this feature enables non-standard syntax for inline :ref:`TypedDicts `, for example: .. code-block:: python def test_values() -> {"width": int, "description": str}: return {"width": 42, "description": "test"} * ``TypeForm``: this feature enables ``TypeForm``, as described in `PEP 747 – Annotating Type Forms _`. Miscellaneous ************* .. option:: --install-types This flag causes mypy to install known missing stub packages for third-party libraries using pip. It will display the pip command that will be run, and expects a confirmation before installing anything. For security reasons, these stubs are limited to only a small subset of manually selected packages that have been verified by the typeshed team. These packages include only stub files and no executable code. If you use this option without providing any files or modules to type check, mypy will install stub packages suggested during the previous mypy run. If there are files or modules to type check, mypy first type checks those, and proposes to install missing stubs at the end of the run, but only if any missing modules were detected. .. note:: This is new in mypy 0.900. Previous mypy versions included a selection of third-party package stubs, instead of having them installed separately. .. option:: --non-interactive When used together with :option:`--install-types `, this causes mypy to install all suggested stub packages using pip without asking for confirmation, and then continues to perform type checking using the installed stubs, if some files or modules are provided to type check. This is implemented as up to two mypy runs internally. The first run is used to find missing stub packages, and output is shown from this run only if no missing stub packages were found. If missing stub packages were found, they are installed and then another run is performed. .. option:: --junit-xml JUNIT_XML_OUTPUT_FILE Causes mypy to generate a JUnit XML test result document with type checking results. This can make it easier to integrate mypy with continuous integration (CI) tools. .. option:: --junit-format {global,per_file} If --junit-xml is set, specifies format. global (default): single test with all errors; per_file: one test entry per file with failures. .. option:: --find-occurrences CLASS.MEMBER This flag will make mypy print out all usages of a class member based on static type information. This feature is experimental. .. option:: --scripts-are-modules This flag will give command line arguments that appear to be scripts (i.e. files whose name does not end in ``.py``) a module name derived from the script name rather than the fixed name :py:mod:`__main__`. This lets you check more than one script in a single mypy invocation. (The default :py:mod:`__main__` is technically more correct, but if you have many scripts that import a large package, the behavior enabled by this flag is often more convenient.) .. _lxml: https://pypi.org/project/lxml/ .. _SQLite: https://www.sqlite.org/ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/common_issues.rst0000644000175100017510000006676315112307767020146 0ustar00runnerrunner.. _common_issues: Common issues and solutions =========================== This section has examples of cases when you need to update your code to use static typing, and ideas for working around issues if mypy doesn't work as expected. Statically typed code is often identical to normal Python code (except for type annotations), but sometimes you need to do things slightly differently. .. _annotations_needed: No errors reported for obviously wrong code ------------------------------------------- There are several common reasons why obviously wrong code is not flagged as an error. **The function containing the error is not annotated.** Functions that do not have any annotations (neither for any argument nor for the return type) are not type-checked, and even the most blatant type errors (e.g. ``2 + 'a'``) pass silently. The solution is to add annotations. Where that isn't possible, functions without annotations can be checked using :option:`--check-untyped-defs `. Example: .. code-block:: python def foo(a): return '(' + a.split() + ')' # No error! This gives no error even though ``a.split()`` is "obviously" a list (the author probably meant ``a.strip()``). The error is reported once you add annotations: .. code-block:: python def foo(a: str) -> str: return '(' + a.split() + ')' # error: Unsupported operand types for + ("str" and "list[str]") If you don't know what types to add, you can use ``Any``, but beware: **One of the values involved has type 'Any'.** Extending the above example, if we were to leave out the annotation for ``a``, we'd get no error: .. code-block:: python def foo(a) -> str: return '(' + a.split() + ')' # No error! The reason is that if the type of ``a`` is unknown, the type of ``a.split()`` is also unknown, so it is inferred as having type ``Any``, and it is no error to add a string to an ``Any``. If you're having trouble debugging such situations, :ref:`reveal_type() ` might come in handy. Note that sometimes library stubs with imprecise type information can be a source of ``Any`` values. :py:meth:`__init__ ` **method has no annotated arguments and no return type annotation.** This is basically a combination of the two cases above, in that ``__init__`` without annotations can cause ``Any`` types leak into instance variables: .. code-block:: python class Bad: def __init__(self): self.value = "asdf" 1 + "asdf" # No error! bad = Bad() bad.value + 1 # No error! reveal_type(bad) # Revealed type is "__main__.Bad" reveal_type(bad.value) # Revealed type is "Any" class Good: def __init__(self) -> None: # Explicitly return None self.value = value **Some imports may be silently ignored**. A common source of unexpected ``Any`` values is the :option:`--ignore-missing-imports ` flag. When you use :option:`--ignore-missing-imports `, any imported module that cannot be found is silently replaced with ``Any``. To help debug this, simply leave out :option:`--ignore-missing-imports `. As mentioned in :ref:`fix-missing-imports`, setting ``ignore_missing_imports=True`` on a per-module basis will make bad surprises less likely and is highly encouraged. Use of the :option:`--follow-imports=skip ` flags can also cause problems. Use of these flags is strongly discouraged and only required in relatively niche situations. See :ref:`follow-imports` for more information. **mypy considers some of your code unreachable**. See :ref:`unreachable` for more information. **A function annotated as returning a non-optional type returns 'None' and mypy doesn't complain**. .. code-block:: python def foo() -> str: return None # No error! You may have disabled strict optional checking (see :ref:`--no-strict-optional ` for more). .. _silencing_checker: Spurious errors and locally silencing the checker ------------------------------------------------- You can use a ``# type: ignore`` comment to silence the type checker on a particular line. For example, let's say our code is using the C extension module ``frobnicate``, and there's no stub available. Mypy will complain about this, as it has no information about the module: .. code-block:: python import frobnicate # Error: No module "frobnicate" frobnicate.start() You can add a ``# type: ignore`` comment to tell mypy to ignore this error: .. code-block:: python import frobnicate # type: ignore frobnicate.start() # Okay! The second line is now fine, since the ignore comment causes the name ``frobnicate`` to get an implicit ``Any`` type. .. note:: You can use the form ``# type: ignore[]`` to only ignore specific errors on the line. This way you are less likely to silence unexpected errors that are not safe to ignore, and this will also document what the purpose of the comment is. See :ref:`error-codes` for more information. .. note:: The ``# type: ignore`` comment will only assign the implicit ``Any`` type if mypy cannot find information about that particular module. So, if we did have a stub available for ``frobnicate`` then mypy would ignore the ``# type: ignore`` comment and typecheck the stub as usual. Another option is to explicitly annotate values with type ``Any`` -- mypy will let you perform arbitrary operations on ``Any`` values. Sometimes there is no more precise type you can use for a particular value, especially if you use dynamic Python features such as :py:meth:`__getattr__ `: .. code-block:: python class Wrapper: ... def __getattr__(self, a: str) -> Any: return getattr(self._wrapped, a) Finally, you can create a stub file (``.pyi``) for a file that generates spurious errors. Mypy will only look at the stub file and ignore the implementation, since stub files take precedence over ``.py`` files. Ignoring a whole file --------------------- * To only ignore errors, use a top-level ``# mypy: ignore-errors`` comment instead. * To only ignore errors with a specific error code, use a top-level ``# mypy: disable-error-code="..."`` comment. Example: ``# mypy: disable-error-code="truthy-bool, ignore-without-code"`` * To replace the contents of a module with ``Any``, use a per-module ``follow_imports = skip``. See :ref:`Following imports ` for details. Note that a ``# type: ignore`` comment at the top of a module (before any statements, including imports or docstrings) has the effect of ignoring the entire contents of the module. This behaviour can be surprising and result in "Module ... has no attribute ... [attr-defined]" errors. Issues with code at runtime --------------------------- Idiomatic use of type annotations can sometimes run up against what a given version of Python considers legal code. These can result in some of the following errors when trying to run your code: * ``ImportError`` from circular imports * ``NameError: name "X" is not defined`` from forward references * ``TypeError: 'type' object is not subscriptable`` from types that are not generic at runtime * ``ImportError`` or ``ModuleNotFoundError`` from use of stub definitions not available at runtime * ``TypeError: unsupported operand type(s) for |: 'type' and 'type'`` from use of new syntax For dealing with these, see :ref:`runtime_troubles`. Mypy runs are slow ------------------ If your mypy runs feel slow, you should probably use the :ref:`mypy daemon `, which can speed up incremental mypy runtimes by a factor of 10 or more. :ref:`Remote caching ` can make cold mypy runs several times faster. Furthermore: as of `mypy 1.13 `_, mypy allows use of the orjson library for handling the cache instead of the stdlib json, for improved performance. You can ensure the presence of orjson using the faster-cache extra: python3 -m pip install -U mypy[faster-cache] Mypy may depend on orjson by default in the future. Types of empty collections -------------------------- You often need to specify the type when you assign an empty list or dict to a new variable, as mentioned earlier: .. code-block:: python a: list[int] = [] Without the annotation mypy can't always figure out the precise type of ``a``. You can use a simple empty list literal in a dynamically typed function (as the type of ``a`` would be implicitly ``Any`` and need not be inferred), if type of the variable has been declared or inferred before, or if you perform a simple modification operation in the same scope (such as ``append`` for a list): .. code-block:: python a = [] # Okay because followed by append, inferred type list[int] for i in range(n): a.append(i * i) However, in more complex cases an explicit type annotation can be required (mypy will tell you this). Often the annotation can make your code easier to understand, so it doesn't only help mypy but everybody who is reading the code! Redefinitions with incompatible types ------------------------------------- Each name within a function only has a single 'declared' type. You can reuse for loop indices etc., but if you want to use a variable with multiple types within a single function, you may need to instead use multiple variables (or maybe declare the variable with an ``Any`` type). .. code-block:: python def f() -> None: n = 1 ... n = 'x' # error: Incompatible types in assignment (expression has type "str", variable has type "int") .. note:: Using the :option:`--allow-redefinition ` flag can suppress this error in several cases. Note that you can redefine a variable with a more *precise* or a more concrete type. For example, you can redefine a sequence (which does not support ``sort()``) as a list and sort it in-place: .. code-block:: python def f(x: Sequence[int]) -> None: # Type of x is Sequence[int] here; we don't know the concrete type. x = list(x) # Type of x is list[int] here. x.sort() # Okay! See :ref:`type-narrowing` for more information. .. _variance: Invariance vs covariance ------------------------ Most mutable generic collections are invariant, and mypy considers all user-defined generic classes invariant by default (see :ref:`variance-of-generics` for motivation). This could lead to some unexpected errors when combined with type inference. For example: .. code-block:: python class A: ... class B(A): ... lst = [A(), A()] # Inferred type is list[A] new_lst = [B(), B()] # inferred type is list[B] lst = new_lst # mypy will complain about this, because List is invariant Possible strategies in such situations are: * Use an explicit type annotation: .. code-block:: python new_lst: list[A] = [B(), B()] lst = new_lst # OK * Make a copy of the right hand side: .. code-block:: python lst = list(new_lst) # Also OK * Use immutable collections as annotations whenever possible: .. code-block:: python def f_bad(x: list[A]) -> A: return x[0] f_bad(new_lst) # Fails def f_good(x: Sequence[A]) -> A: return x[0] f_good(new_lst) # OK Declaring a supertype as variable type -------------------------------------- Sometimes the inferred type is a subtype (subclass) of the desired type. The type inference uses the first assignment to infer the type of a name: .. code-block:: python class Shape: ... class Circle(Shape): ... class Triangle(Shape): ... shape = Circle() # mypy infers the type of shape to be Circle shape = Triangle() # error: Incompatible types in assignment (expression has type "Triangle", variable has type "Circle") You can just give an explicit type for the variable in cases such the above example: .. code-block:: python shape: Shape = Circle() # The variable s can be any Shape, not just Circle shape = Triangle() # OK Complex type tests ------------------ Mypy can usually infer the types correctly when using :py:func:`isinstance `, :py:func:`issubclass `, or ``type(obj) is some_class`` type tests, and even :ref:`user-defined type guards `, but for other kinds of checks you may need to add an explicit type cast: .. code-block:: python from collections.abc import Sequence from typing import cast def find_first_str(a: Sequence[object]) -> str: index = next((i for i, s in enumerate(a) if isinstance(s, str)), -1) if index < 0: raise ValueError('No str found') found = a[index] # Has type "object", despite the fact that we know it is "str" return cast(str, found) # We need an explicit cast to make mypy happy Alternatively, you can use an ``assert`` statement together with some of the supported type inference techniques: .. code-block:: python def find_first_str(a: Sequence[object]) -> str: index = next((i for i, s in enumerate(a) if isinstance(s, str)), -1) if index < 0: raise ValueError('No str found') found = a[index] # Has type "object", despite the fact that we know it is "str" assert isinstance(found, str) # Now, "found" will be narrowed to "str" return found # No need for the explicit "cast()" anymore .. note:: Note that the :py:class:`object` type used in the above example is similar to ``Object`` in Java: it only supports operations defined for *all* objects, such as equality and :py:func:`isinstance`. The type ``Any``, in contrast, supports all operations, even if they may fail at runtime. The cast above would have been unnecessary if the type of ``o`` was ``Any``. .. note:: You can read more about type narrowing techniques :ref:`here `. Type inference in Mypy is designed to work well in common cases, to be predictable and to let the type checker give useful error messages. More powerful type inference strategies often have complex and difficult-to-predict failure modes and could result in very confusing error messages. The tradeoff is that you as a programmer sometimes have to give the type checker a little help. .. _version_and_platform_checks: Python version and system platform checks ----------------------------------------- Mypy supports the ability to perform Python version checks and platform checks (e.g. Windows vs Posix), ignoring code paths that won't be run on the targeted Python version or platform. This allows you to more effectively typecheck code that supports multiple versions of Python or multiple operating systems. More specifically, mypy will understand the use of :py:data:`sys.version_info` and :py:data:`sys.platform` checks within ``if/elif/else`` statements. For example: .. code-block:: python import sys # Distinguishing between different versions of Python: if sys.version_info >= (3, 13): # Python 3.13+ specific definitions and imports else: # Other definitions and imports # Distinguishing between different operating systems: if sys.platform.startswith("linux"): # Linux-specific code elif sys.platform == "darwin": # Mac-specific code elif sys.platform == "win32": # Windows-specific code else: # Other systems As a special case, you can also use one of these checks in a top-level (unindented) ``assert``; this makes mypy skip the rest of the file. Example: .. code-block:: python import sys assert sys.platform != 'win32' # The rest of this file doesn't apply to Windows. Some other expressions exhibit similar behavior; in particular, :py:data:`~typing.TYPE_CHECKING`, variables named ``MYPY`` or ``TYPE_CHECKING``, and any variable whose name is passed to :option:`--always-true ` or :option:`--always-false `. (However, ``True`` and ``False`` are not treated specially!) .. note:: Mypy currently does not support more complex checks, and does not assign any special meaning when assigning a :py:data:`sys.version_info` or :py:data:`sys.platform` check to a variable. This may change in future versions of mypy. By default, mypy will use your current version of Python and your current operating system as default values for :py:data:`sys.version_info` and :py:data:`sys.platform`. To target a different Python version, use the :option:`--python-version X.Y ` flag. For example, to verify your code typechecks if were run using Python 3.8, pass in :option:`--python-version 3.8 ` from the command line. Note that you do not need to have Python 3.8 installed to perform this check. To target a different operating system, use the :option:`--platform PLATFORM ` flag. For example, to verify your code typechecks if it were run in Windows, pass in :option:`--platform win32 `. See the documentation for :py:data:`sys.platform` for examples of valid platform parameters. .. _reveal-type: Displaying the type of an expression ------------------------------------ You can use ``reveal_type(expr)`` to ask mypy to display the inferred static type of an expression. This can be useful when you don't quite understand how mypy handles a particular piece of code. Example: .. code-block:: python reveal_type((1, 'hello')) # Revealed type is "tuple[builtins.int, builtins.str]" You can also use ``reveal_locals()`` at any line in a file to see the types of all local variables at once. Example: .. code-block:: python a = 1 b = 'one' reveal_locals() # Revealed local types are: # a: builtins.int # b: builtins.str .. note:: ``reveal_type`` and ``reveal_locals`` are handled specially by mypy during type checking, and don't have to be defined or imported. However, if you want to run your code, you'll have to remove any ``reveal_type`` and ``reveal_locals`` calls from your program or else Python will give you an error at runtime. Alternatively, you can import ``reveal_type`` from ``typing_extensions`` or ``typing`` (on Python 3.11 and newer) .. _silencing-linters: Silencing linters ----------------- In some cases, linters will complain about unused imports or code. In these cases, you can silence them with a comment after type comments, or on the same line as the import: .. code-block:: python # to silence complaints about unused imports from typing import List # noqa a = None # type: List[int] To silence the linter on the same line as a type comment put the linter comment *after* the type comment: .. code-block:: python a = some_complex_thing() # type: ignore # noqa Covariant subtyping of mutable protocol members is rejected ----------------------------------------------------------- Mypy rejects this because this is potentially unsafe. Consider this example: .. code-block:: python from typing import Protocol class P(Protocol): x: float def fun(arg: P) -> None: arg.x = 3.14 class C: x = 42 c = C() fun(c) # This is not safe c.x << 5 # Since this will fail! To work around this problem consider whether "mutating" is actually part of a protocol. If not, then one can use a :py:class:`@property ` in the protocol definition: .. code-block:: python from typing import Protocol class P(Protocol): @property def x(self) -> float: pass def fun(arg: P) -> None: ... class C: x = 42 fun(C()) # OK Dealing with conflicting names ------------------------------ Suppose you have a class with a method whose name is the same as an imported (or built-in) type, and you want to use the type in another method signature. E.g.: .. code-block:: python class Message: def bytes(self): ... def register(self, path: bytes): # error: Invalid type "mod.Message.bytes" ... The third line elicits an error because mypy sees the argument type ``bytes`` as a reference to the method by that name. Other than renaming the method, a workaround is to use an alias: .. code-block:: python bytes_ = bytes class Message: def bytes(self): ... def register(self, path: bytes_): ... Using a development mypy build ------------------------------ You can install the latest development version of mypy from source. Clone the `mypy repository on GitHub `_, and then run ``pip install`` locally: .. code-block:: text git clone https://github.com/python/mypy.git cd mypy python3 -m pip install --upgrade . To install a development version of mypy that is mypyc-compiled, see the instructions at the `mypyc wheels repo `_. Variables vs type aliases ------------------------- Mypy has both *type aliases* and variables with types like ``type[...]``. These are subtly different, and it's important to understand how they differ to avoid pitfalls. 1. A variable with type ``type[...]`` is defined using an assignment with an explicit type annotation: .. code-block:: python class A: ... tp: type[A] = A 2. You can define a type alias using an assignment without an explicit type annotation at the top level of a module: .. code-block:: python class A: ... Alias = A You can also use ``TypeAlias`` (:pep:`613`) to define an *explicit type alias*: .. code-block:: python from typing import TypeAlias # "from typing_extensions" in Python 3.9 and earlier class A: ... Alias: TypeAlias = A You should always use ``TypeAlias`` to define a type alias in a class body or inside a function. The main difference is that the target of an alias is precisely known statically, and this means that they can be used in type annotations and other *type contexts*. Type aliases can't be defined conditionally (unless using :ref:`supported Python version and platform checks `): .. code-block:: python class A: ... class B: ... if random() > 0.5: Alias = A else: # error: Cannot assign multiple types to name "Alias" without an # explicit "Type[...]" annotation Alias = B tp: type[object] # "tp" is a variable with a type object value if random() > 0.5: tp = A else: tp = B # This is OK def fun1(x: Alias) -> None: ... # OK def fun2(x: tp) -> None: ... # Error: "tp" is not valid as a type Incompatible overrides ---------------------- It's unsafe to override a method with a more specific argument type, as it violates the `Liskov substitution principle `_. For return types, it's unsafe to override a method with a more general return type. Other incompatible signature changes in method overrides, such as adding an extra required parameter, or removing an optional parameter, will also generate errors. The signature of a method in a subclass should accept all valid calls to the base class method. Mypy treats a subclass as a subtype of the base class. An instance of a subclass is valid everywhere where an instance of the base class is valid. This example demonstrates both safe and unsafe overrides: .. code-block:: python from collections.abc import Sequence, Iterable class A: def test(self, t: Sequence[int]) -> Sequence[str]: ... class GeneralizedArgument(A): # A more general argument type is okay def test(self, t: Iterable[int]) -> Sequence[str]: # OK ... class NarrowerArgument(A): # A more specific argument type isn't accepted def test(self, t: list[int]) -> Sequence[str]: # Error ... class NarrowerReturn(A): # A more specific return type is fine def test(self, t: Sequence[int]) -> list[str]: # OK ... class GeneralizedReturn(A): # A more general return type is an error def test(self, t: Sequence[int]) -> Iterable[str]: # Error ... You can use ``# type: ignore[override]`` to silence the error. Add it to the line that generates the error, if you decide that type safety is not necessary: .. code-block:: python class NarrowerArgument(A): def test(self, t: list[int]) -> Sequence[str]: # type: ignore[override] ... .. _unreachable: Unreachable code ---------------- Mypy may consider some code as *unreachable*, even if it might not be immediately obvious why. It's important to note that mypy will *not* type check such code. Consider this example: .. code-block:: python class Foo: bar: str = '' def bar() -> None: foo: Foo = Foo() return x: int = 'abc' # Unreachable -- no error It's easy to see that any statement after ``return`` is unreachable, and hence mypy will not complain about the mistyped code below it. For a more subtle example, consider this code: .. code-block:: python class Foo: bar: str = '' def bar() -> None: foo: Foo = Foo() assert foo.bar is None x: int = 'abc' # Unreachable -- no error Again, mypy will not report any errors. The type of ``foo.bar`` is ``str``, and mypy reasons that it can never be ``None``. Hence the ``assert`` statement will always fail and the statement below will never be executed. (Note that in Python, ``None`` is not an empty reference but an object of type ``None``.) In this example mypy will go on to check the last line and report an error, since mypy thinks that the condition could be either True or False: .. code-block:: python class Foo: bar: str = '' def bar() -> None: foo: Foo = Foo() if not foo.bar: return x: int = 'abc' # Reachable -- error If you use the :option:`--warn-unreachable ` flag, mypy will generate an error about each unreachable code block. Narrowing and inner functions ----------------------------- Because closures in Python are late-binding (https://docs.python-guide.org/writing/gotchas/#late-binding-closures), mypy will not narrow the type of a captured variable in an inner function. This is best understood via an example: .. code-block:: python def foo(x: int | None) -> Callable[[], int]: if x is None: x = 5 print(x + 1) # mypy correctly deduces x must be an int here def inner() -> int: return x + 1 # but (correctly) complains about this line x = None # because x could later be assigned None return inner inner = foo(5) inner() # this will raise an error when called To get this code to type check, you could assign ``y = x`` after ``x`` has been narrowed, and use ``y`` in the inner function, or add an assert in the inner function. .. _incorrect-self: Incorrect use of ``Self`` ------------------------- ``Self`` is not the type of the current class; it's a type variable with upper bound of the current class. That is, it represents the type of the current class or of potential subclasses. .. code-block:: python from typing import Self class Foo: @classmethod def constructor(cls) -> Self: # Instead, either call cls() or change the annotation to -> Foo return Foo() # error: Incompatible return value type (got "Foo", expected "Self") class Bar(Foo): ... reveal_type(Foo.constructor()) # note: Revealed type is "Foo" # In the context of the subclass Bar, the Self return type promises # that the return value will be Bar reveal_type(Bar.constructor()) # note: Revealed type is "Bar" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/conf.py0000644000175100017510000002237715112307767016021 0ustar00runnerrunner# -*- coding: utf-8 -*- # # Mypy documentation build configuration file, created by # sphinx-quickstart on Sun Sep 14 19:50:35 2014. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. from __future__ import annotations import os import sys from sphinx.application import Sphinx from sphinx.util.docfields import Field # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. sys.path.insert(0, os.path.abspath("../..")) from mypy.version import __version__ as mypy_version # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ "sphinx.ext.intersphinx", "sphinx_inline_tabs", "docs.source.html_builder", "myst_parser", ] # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # The suffix of source filenames. source_suffix = ".rst" # The encoding of source files. # source_encoding = 'utf-8-sig' # The master toctree document. master_doc = "index" # General information about the project. project = "mypy" copyright = "2012-%Y Jukka Lehtosalo and mypy contributors" # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = mypy_version.split("-")[0] # The full version, including alpha/beta/rc tags. release = mypy_version # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: # today = '' # Else, today_fmt is used as the format for a strftime call. # today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = [] # The reST default role (used for this markup: `text`) to use for all # documents. # default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. # add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). # add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. # show_authors = False # The name of the Pygments (syntax highlighting) style to use. # pygments_style = "sphinx" # A list of ignored prefixes for module index sorting. # modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built documents. # keep_warnings = False # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = "furo" html_theme_options = { "source_repository": "https://github.com/python/mypy", "source_branch": "master", "source_directory": "docs/source", } # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. # html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". # html_title = None # A shorter title for the navigation bar. Default is the same as html_title. # html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. html_logo = "mypy_light.svg" # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. # html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". # html_static_path = ['_static'] # Add any extra paths that contain custom files (such as robots.txt or # .htaccess) here, relative to this directory. These files are copied # directly to the root of the documentation. # html_extra_path = [] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. # html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. # html_use_smartypants = True # Custom sidebar templates, maps document names to template names. # html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. # html_additional_pages = {} # If false, no module index is generated. # html_domain_indices = True # If false, no index is generated. # html_use_index = True # If true, the index is split into individual pages for each letter. # html_split_index = False # If true, links to the reST sources are added to the pages. # html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. # html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. # html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. # html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). # html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = "mypydoc" # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). #'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). #'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [("index", "Mypy.tex", "Mypy Documentation", "Jukka", "manual")] # The name of an image file (relative to this directory) to place at the top of # the title page. # latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. # latex_use_parts = False # If true, show page references after internal links. # latex_show_pagerefs = False # If true, show URL addresses after external links. # latex_show_urls = False # Documents to append as an appendix to all manuals. # latex_appendices = [] # If false, no module index is generated. # latex_domain_indices = True # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [("index", "mypy", "Mypy Documentation", ["Jukka Lehtosalo"], 1)] # If true, show URL addresses after external links. # man_show_urls = False # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ( "index", "Mypy", "Mypy Documentation", "Jukka", "Mypy", "One line description of project.", "Miscellaneous", ) ] # Documents to append as an appendix to all manuals. # texinfo_appendices = [] # If false, no module index is generated. # texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. # texinfo_show_urls = 'footnote' # If true, do not generate a @detailmenu in the "Top" node's menu. # texinfo_no_detailmenu = False rst_prolog = ".. |...| unicode:: U+2026 .. ellipsis\n" intersphinx_mapping = { "python": ("https://docs.python.org/3", None), "attrs": ("https://www.attrs.org/en/stable/", None), "cython": ("https://cython.readthedocs.io/en/stable", None), "monkeytype": ("https://monkeytype.readthedocs.io/en/latest", None), "setuptools": ("https://setuptools.pypa.io/en/latest", None), } def setup(app: Sphinx) -> None: app.add_object_type( "confval", "confval", objname="configuration value", indextemplate="pair: %s; configuration value", doc_field_types=[ Field("type", label="Type", has_arg=False, names=("type",)), Field("default", label="Default", has_arg=False, names=("default",)), ], ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/config_file.rst0000644000175100017510000011252315112307767017511 0ustar00runnerrunner.. _config-file: The mypy configuration file =========================== Mypy is very configurable. This is most useful when introducing typing to an existing codebase. See :ref:`existing-code` for concrete advice for that situation. Mypy supports reading configuration settings from a file. By default, mypy will discover configuration files by walking up the file system (up until the root of a repository or the root of the filesystem). In each directory, it will look for the following configuration files (in this order): 1. ``mypy.ini`` 2. ``.mypy.ini`` 3. ``pyproject.toml`` (containing a ``[tool.mypy]`` section) 4. ``setup.cfg`` (containing a ``[mypy]`` section) If no configuration file is found by this method, mypy will then look for configuration files in the following locations (in this order): 1. ``$XDG_CONFIG_HOME/mypy/config`` 2. ``~/.config/mypy/config`` 3. ``~/.mypy.ini`` The :option:`--config-file ` command-line flag has the highest precedence and must point towards a valid configuration file; otherwise mypy will report an error and exit. Without the command line option, mypy will look for configuration files in the precedence order above. It is important to understand that there is no merging of configuration files, as it would lead to ambiguity. Most flags correspond closely to :ref:`command-line flags ` but there are some differences in flag names and some flags may take a different value based on the module being processed. Some flags support user home directory and environment variable expansion. To refer to the user home directory, use ``~`` at the beginning of the path. To expand environment variables use ``$VARNAME`` or ``${VARNAME}``. Config file format ****************** The configuration file format is the usual :doc:`ini file ` format. It should contain section names in square brackets and flag settings of the form `NAME = VALUE`. Comments start with ``#`` characters. - A section named ``[mypy]`` must be present. This specifies the global flags. - Additional sections named ``[mypy-PATTERN1,PATTERN2,...]`` may be present, where ``PATTERN1``, ``PATTERN2``, etc., are comma-separated patterns of fully-qualified module names, with some components optionally replaced by the '*' character (e.g. ``foo.bar``, ``foo.bar.*``, ``foo.*.baz``). These sections specify additional flags that only apply to *modules* whose name matches at least one of the patterns. A pattern of the form ``qualified_module_name`` matches only the named module, while ``dotted_module_name.*`` matches ``dotted_module_name`` and any submodules (so ``foo.bar.*`` would match all of ``foo.bar``, ``foo.bar.baz``, and ``foo.bar.baz.quux``). Patterns may also be "unstructured" wildcards, in which stars may appear in the middle of a name (e.g ``site.*.migrations.*``). Stars match zero or more module components (so ``site.*.migrations.*`` can match ``site.migrations``). .. _config-precedence: When options conflict, the precedence order for configuration is: 1. :ref:`Inline configuration ` in the source file 2. Sections with concrete module names (``foo.bar``) 3. Sections with "unstructured" wildcard patterns (``foo.*.baz``), with sections later in the configuration file overriding sections earlier. 4. Sections with "well-structured" wildcard patterns (``foo.bar.*``), with more specific overriding more general. 5. Command line options. 6. Top-level configuration file options. The difference in precedence order between "structured" patterns (by specificity) and "unstructured" patterns (by order in the file) is unfortunate, and is subject to change in future versions. .. note:: The :confval:`warn_unused_configs` flag may be useful to debug misspelled section names. .. note:: Configuration flags are liable to change between releases. Per-module and global options ***************************** Some of the config options may be set either globally (in the ``[mypy]`` section) or on a per-module basis (in sections like ``[mypy-foo.bar]``). If you set an option both globally and for a specific module, the module configuration options take precedence. This lets you set global defaults and override them on a module-by-module basis. If multiple pattern sections match a module, :ref:`the options from the most specific section are used where they disagree `. Some other options, as specified in their description, may only be set in the global section (``[mypy]``). Inverting option values *********************** Options that take a boolean value may be inverted by adding ``no_`` to their name or by (when applicable) swapping their prefix from ``disallow`` to ``allow`` (and vice versa). Example ``mypy.ini`` ******************** Here is an example of a ``mypy.ini`` file. To use this config file, place it at the root of your repo and run mypy. .. code-block:: ini # Global options: [mypy] warn_return_any = True warn_unused_configs = True # Per-module options: [mypy-mycode.foo.*] disallow_untyped_defs = True [mypy-mycode.bar] warn_return_any = False [mypy-somelibrary] ignore_missing_imports = True This config file specifies two global options in the ``[mypy]`` section. These two options will: 1. Report an error whenever a function returns a value that is inferred to have type ``Any``. 2. Report any config options that are unused by mypy. (This will help us catch typos when making changes to our config file). Next, this module specifies three per-module options. The first two options change how mypy type checks code in ``mycode.foo.*`` and ``mycode.bar``, which we assume here are two modules that you wrote. The final config option changes how mypy type checks ``somelibrary``, which we assume here is some 3rd party library you've installed and are importing. These options will: 1. Selectively disallow untyped function definitions only within the ``mycode.foo`` package -- that is, only for function definitions defined in the ``mycode/foo`` directory. 2. Selectively *disable* the "function is returning any" warnings within ``mycode.bar`` only. This overrides the global default we set earlier. 3. Suppress any error messages generated when your codebase tries importing the module ``somelibrary``. This is useful if ``somelibrary`` is some 3rd party library missing type hints. .. _config-file-import-discovery: Import discovery **************** For more information, see the :ref:`Import discovery ` section of the command line docs. .. confval:: mypy_path :type: string Specifies the paths to use, after trying the paths from ``MYPYPATH`` environment variable. Useful if you'd like to keep stubs in your repo, along with the config file. Multiple paths are always separated with a ``:`` or ``,`` regardless of the platform. User home directory and environment variables will be expanded. Relative paths are treated relative to the working directory of the mypy command, not the config file. Use the ``MYPY_CONFIG_FILE_DIR`` environment variable to refer to paths relative to the config file (e.g. ``mypy_path = $MYPY_CONFIG_FILE_DIR/src``). This option may only be set in the global section (``[mypy]``). **Note:** On Windows, use UNC paths to avoid using ``:`` (e.g. ``\\127.0.0.1\X$\MyDir`` where ``X`` is the drive letter). .. confval:: files :type: comma-separated list of strings A comma-separated list of paths which should be checked by mypy if none are given on the command line. Supports recursive file globbing using :py:mod:`glob`, where ``*`` (e.g. ``*.py``) matches files in the current directory and ``**/`` (e.g. ``**/*.py``) matches files in any directories below the current one. User home directory and environment variables will be expanded. This option may only be set in the global section (``[mypy]``). .. confval:: modules :type: comma-separated list of strings A comma-separated list of packages which should be checked by mypy if none are given on the command line. Mypy *will not* recursively type check any submodules of the provided module. This option may only be set in the global section (``[mypy]``). .. confval:: packages :type: comma-separated list of strings A comma-separated list of packages which should be checked by mypy if none are given on the command line. Mypy *will* recursively type check any submodules of the provided package. This flag is identical to :confval:`modules` apart from this behavior. This option may only be set in the global section (``[mypy]``). .. confval:: exclude :type: regular expression A regular expression that matches file names, directory names and paths which mypy should ignore while recursively discovering files to check. Use forward slashes (``/``) as directory separators on all platforms. .. code-block:: ini [mypy] exclude = (?x)( ^one\.py$ # files named "one.py" | two\.pyi$ # or files ending with "two.pyi" | ^three\. # or files starting with "three." ) Crafting a single regular expression that excludes multiple files while remaining human-readable can be a challenge. The above example demonstrates one approach. ``(?x)`` enables the ``VERBOSE`` flag for the subsequent regular expression, which :py:data:`ignores most whitespace and supports comments `. The above is equivalent to: ``(^one\.py$|two\.pyi$|^three\.)``. For more details, see :option:`--exclude `. This option may only be set in the global section (``[mypy]``). .. note:: Note that the TOML equivalent differs slightly. It can be either a single string (including a multi-line string) -- which is treated as a single regular expression -- or an array of such strings. The following TOML examples are equivalent to the above INI example. Array of strings: .. code-block:: toml [tool.mypy] exclude = [ "^one\\.py$", # TOML's double-quoted strings require escaping backslashes 'two\.pyi$', # but TOML's single-quoted strings do not '^three\.', ] A single, multi-line string: .. code-block:: toml [tool.mypy] exclude = '''(?x)( ^one\.py$ # files named "one.py" | two\.pyi$ # or files ending with "two.pyi" | ^three\. # or files starting with "three." )''' # TOML's single-quoted strings do not require escaping backslashes See :ref:`using-a-pyproject-toml`. .. confval:: exclude_gitignore :type: boolean :default: False This flag will add everything that matches ``.gitignore`` file(s) to :confval:`exclude`. This option may only be set in the global section (``[mypy]``). .. confval:: namespace_packages :type: boolean :default: True Enables :pep:`420` style namespace packages. See the corresponding flag :option:`--no-namespace-packages ` for more information. This option may only be set in the global section (``[mypy]``). .. confval:: explicit_package_bases :type: boolean :default: False This flag tells mypy that top-level packages will be based in either the current directory, or a member of the ``MYPYPATH`` environment variable or :confval:`mypy_path` config option. This option is only useful in the absence of `__init__.py`. See :ref:`Mapping file paths to modules ` for details. This option may only be set in the global section (``[mypy]``). .. confval:: ignore_missing_imports :type: boolean :default: False Suppresses error messages about imports that cannot be resolved. If this option is used in a per-module section, the module name should match the name of the *imported* module, not the module containing the import statement. .. confval:: follow_untyped_imports :type: boolean :default: False Makes mypy analyze imports from installed packages even if missing a :ref:`py.typed marker or stubs `. If this option is used in a per-module section, the module name should match the name of the *imported* module, not the module containing the import statement. .. warning:: Note that analyzing all unannotated modules might result in issues when analyzing code not designed to be type checked and may significantly increase how long mypy takes to run. .. confval:: follow_imports :type: string :default: ``normal`` Directs what to do with imports when the imported module is found as a ``.py`` file and not part of the files, modules and packages provided on the command line. The four possible values are ``normal``, ``silent``, ``skip`` and ``error``. For explanations see the discussion for the :option:`--follow-imports ` command line flag. Using this option in a per-module section (potentially with a wildcard, as described at the top of this page) is a good way to prevent mypy from checking portions of your code. If this option is used in a per-module section, the module name should match the name of the *imported* module, not the module containing the import statement. .. confval:: follow_imports_for_stubs :type: boolean :default: False Determines whether to respect the :confval:`follow_imports` setting even for stub (``.pyi``) files. Used in conjunction with :confval:`follow_imports=skip `, this can be used to suppress the import of a module from ``typeshed``, replacing it with ``Any``. Used in conjunction with :confval:`follow_imports=error `, this can be used to make any use of a particular ``typeshed`` module an error. .. note:: This is not supported by the mypy daemon. .. confval:: python_executable :type: string Specifies the path to the Python executable to inspect to collect a list of available :ref:`PEP 561 packages `. User home directory and environment variables will be expanded. Defaults to the executable used to run mypy. This option may only be set in the global section (``[mypy]``). .. confval:: no_site_packages :type: boolean :default: False Disables using type information in installed packages (see :pep:`561`). This will also disable searching for a usable Python executable. This acts the same as :option:`--no-site-packages ` command line flag. .. confval:: no_silence_site_packages :type: boolean :default: False Enables reporting error messages generated within installed packages (see :pep:`561` for more details on distributing type information). Those error messages are suppressed by default, since you are usually not able to control errors in 3rd party code. This option may only be set in the global section (``[mypy]``). Platform configuration ********************** .. confval:: python_version :type: string Specifies the Python version used to parse and check the target program. The string should be in the format ``MAJOR.MINOR`` -- for example ``3.9``. The default is the version of the Python interpreter used to run mypy. This option may only be set in the global section (``[mypy]``). .. confval:: platform :type: string Specifies the OS platform for the target program, for example ``darwin`` or ``win32`` (meaning OS X or Windows, respectively). The default is the current platform as revealed by Python's :py:data:`sys.platform` variable. This option may only be set in the global section (``[mypy]``). .. confval:: always_true :type: comma-separated list of strings Specifies a list of variables that mypy will treat as compile-time constants that are always true. .. confval:: always_false :type: comma-separated list of strings Specifies a list of variables that mypy will treat as compile-time constants that are always false. Disallow dynamic typing *********************** For more information, see the :ref:`Disallow dynamic typing ` section of the command line docs. .. confval:: disallow_any_unimported :type: boolean :default: False Disallows usage of types that come from unfollowed imports (anything imported from an unfollowed import is automatically given a type of ``Any``). .. confval:: disallow_any_expr :type: boolean :default: False Disallows all expressions in the module that have type ``Any``. .. confval:: disallow_any_decorated :type: boolean :default: False Disallows functions that have ``Any`` in their signature after decorator transformation. .. confval:: disallow_any_explicit :type: boolean :default: False Disallows explicit ``Any`` in type positions such as type annotations and generic type parameters. .. confval:: disallow_any_generics :type: boolean :default: False Disallows usage of generic types that do not specify explicit type parameters. .. confval:: disallow_subclassing_any :type: boolean :default: False Disallows subclassing a value of type ``Any``. Untyped definitions and calls ***************************** For more information, see the :ref:`Untyped definitions and calls ` section of the command line docs. .. confval:: disallow_untyped_calls :type: boolean :default: False Disallows calling functions without type annotations from functions with type annotations. Note that when used in per-module options, it enables/disables this check **inside** the module(s) specified, not for functions that come from that module(s), for example config like this: .. code-block:: ini [mypy] disallow_untyped_calls = True [mypy-some.library.*] disallow_untyped_calls = False will disable this check inside ``some.library``, not for your code that imports ``some.library``. If you want to selectively disable this check for all your code that imports ``some.library`` you should instead use :confval:`untyped_calls_exclude`, for example: .. code-block:: ini [mypy] disallow_untyped_calls = True untyped_calls_exclude = some.library .. confval:: untyped_calls_exclude :type: comma-separated list of strings Selectively excludes functions and methods defined in specific packages, modules, and classes from action of :confval:`disallow_untyped_calls`. This also applies to all submodules of packages (i.e. everything inside a given prefix). Note, this option does not support per-file configuration, the exclusions list is defined globally for all your code. .. confval:: disallow_untyped_defs :type: boolean :default: False Disallows defining functions without type annotations or with incomplete type annotations (a superset of :confval:`disallow_incomplete_defs`). For example, it would report an error for :code:`def f(a, b)` and :code:`def f(a: int, b)`. .. confval:: disallow_incomplete_defs :type: boolean :default: False Disallows defining functions with incomplete type annotations, while still allowing entirely unannotated definitions. For example, it would report an error for :code:`def f(a: int, b)` but not :code:`def f(a, b)`. .. confval:: check_untyped_defs :type: boolean :default: False Type-checks the interior of functions without type annotations. .. confval:: disallow_untyped_decorators :type: boolean :default: False Reports an error whenever a function with type annotations is decorated with a decorator without annotations. .. _config-file-none-and-optional-handling: None and Optional handling ************************** For more information, see the :ref:`None and Optional handling ` section of the command line docs. .. confval:: implicit_optional :type: boolean :default: False Causes mypy to treat parameters with a ``None`` default value as having an implicit optional type (``T | None``). **Note:** This was True by default in mypy versions 0.980 and earlier. .. confval:: strict_optional :type: boolean :default: True Effectively disables checking of optional types and ``None`` values. With this option, mypy doesn't generally check the use of ``None`` values -- it is treated as compatible with every type. .. warning:: ``strict_optional = false`` is evil. Avoid using it and definitely do not use it without understanding what it does. Configuring warnings ******************** For more information, see the :ref:`Configuring warnings ` section of the command line docs. .. confval:: warn_redundant_casts :type: boolean :default: False Warns about casting an expression to its inferred type. This option may only be set in the global section (``[mypy]``). .. confval:: warn_unused_ignores :type: boolean :default: False Warns about unneeded ``# type: ignore`` comments. .. confval:: warn_no_return :type: boolean :default: True Shows errors for missing return statements on some execution paths. .. confval:: warn_return_any :type: boolean :default: False Shows a warning when returning a value with type ``Any`` from a function declared with a non- ``Any`` return type. .. confval:: warn_unreachable :type: boolean :default: False Shows a warning when encountering any code inferred to be unreachable or redundant after performing type analysis. .. confval:: deprecated_calls_exclude :type: comma-separated list of strings Selectively excludes functions and methods defined in specific packages, modules, and classes from the :ref:`deprecated` error code. This also applies to all submodules of packages (i.e. everything inside a given prefix). Note, this option does not support per-file configuration, the exclusions list is defined globally for all your code. Suppressing errors ****************** Note: these configuration options are available in the config file only. There is no analog available via the command line options. .. confval:: ignore_errors :type: boolean :default: False Ignores all non-fatal errors. Miscellaneous strictness flags ****************************** For more information, see the :ref:`Miscellaneous strictness flags ` section of the command line docs. .. confval:: allow_untyped_globals :type: boolean :default: False Causes mypy to suppress errors caused by not being able to fully infer the types of global and class variables. .. confval:: allow_redefinition_new :type: boolean :default: False By default, mypy won't allow a variable to be redefined with an unrelated type. This *experimental* flag enables the redefinition of unannotated variables with an arbitrary type. You will also need to enable :confval:`local_partial_types`. Example: .. code-block:: python def maybe_convert(n: int, b: bool) -> int | str: if b: x = str(n) # Assign "str" else: x = n # Assign "int" # Type of "x" is "int | str" here. return x This also enables an unannotated variable to have different types in different code locations: .. code-block:: python if check(): for x in range(n): # Type of "x" is "int" here. ... else: for x in ['a', 'b']: # Type of "x" is "str" here. ... Note: We are planning to turn this flag on by default in a future mypy release, along with :confval:`local_partial_types`. .. confval:: allow_redefinition :type: boolean :default: False Allows variables to be redefined with an arbitrary type, as long as the redefinition is in the same block and nesting level as the original definition. Example where this can be useful: .. code-block:: python def process(items: list[str]) -> None: # 'items' has type list[str] items = [item.split() for item in items] # 'items' now has type list[list[str]] The variable must be used before it can be redefined: .. code-block:: python def process(items: list[str]) -> None: items = "mypy" # invalid redefinition to str because the variable hasn't been used yet print(items) items = "100" # valid, items now has type str items = int(items) # valid, items now has type int .. confval:: local_partial_types :type: boolean :default: False Disallows inferring variable type for ``None`` from two assignments in different scopes. This is always implicitly enabled when using the :ref:`mypy daemon `. This will be enabled by default in a future mypy release. .. confval:: disable_error_code :type: comma-separated list of strings Allows disabling one or multiple error codes globally. .. confval:: enable_error_code :type: comma-separated list of strings Allows enabling one or multiple error codes globally. Note: This option will override disabled error codes from the disable_error_code option. .. confval:: extra_checks :type: boolean :default: False This flag enables additional checks that are technically correct but may be impractical. See :option:`mypy --extra-checks` for more info. .. confval:: implicit_reexport :type: boolean :default: True By default, imported values to a module are treated as exported and mypy allows other modules to import them. When false, mypy will not re-export unless the item is imported using from-as or is included in ``__all__``. Note that mypy treats stub files as if this is always disabled. For example: .. code-block:: python # This won't re-export the value from foo import bar # This will re-export it as bar and allow other modules to import it from foo import bar as bar # This will also re-export bar from foo import bar __all__ = ['bar'] .. confval:: strict_equality :type: boolean :default: False Prohibit equality checks, identity checks, and container checks between non-overlapping types (except ``None``). .. confval:: strict_equality_for_none :type: boolean :default: False Include ``None`` in strict equality checks (requires :confval:`strict_equality` to be activated). .. confval:: strict_bytes :type: boolean :default: False Disable treating ``bytearray`` and ``memoryview`` as subtypes of ``bytes``. This will be enabled by default in *mypy 2.0*. .. confval:: strict :type: boolean :default: False Enable all optional error checking flags. You can see the list of flags enabled by strict mode in the full :option:`mypy --help` output. Note: the exact list of flags enabled by :confval:`strict` may change over time. Configuring error messages ************************** For more information, see the :ref:`Configuring error messages ` section of the command line docs. These options may only be set in the global section (``[mypy]``). .. confval:: show_error_context :type: boolean :default: False Prefixes each error with the relevant context. .. confval:: show_column_numbers :type: boolean :default: False Shows column numbers in error messages. .. confval:: show_error_code_links :type: boolean :default: False Shows documentation link to corresponding error code. .. confval:: hide_error_codes :type: boolean :default: False Hides error codes in error messages. See :ref:`error-codes` for more information. .. confval:: pretty :type: boolean :default: False Use visually nicer output in error messages: use soft word wrap, show source code snippets, and show error location markers. .. confval:: color_output :type: boolean :default: True Shows error messages with color enabled. .. confval:: error_summary :type: boolean :default: True Shows a short summary line after error messages. .. confval:: show_absolute_path :type: boolean :default: False Show absolute paths to files. .. confval:: force_union_syntax :type: boolean :default: False Always use ``Union[]`` and ``Optional[]`` for union types in error messages (instead of the ``|`` operator), even on Python 3.10+. Incremental mode **************** These options may only be set in the global section (``[mypy]``). .. confval:: incremental :type: boolean :default: True Enables :ref:`incremental mode `. .. confval:: cache_dir :type: string :default: ``.mypy_cache`` Specifies the location where mypy stores incremental cache info. User home directory and environment variables will be expanded. This setting will be overridden by the ``MYPY_CACHE_DIR`` environment variable. Note that the cache is only read when incremental mode is enabled but is always written to, unless the value is set to ``/dev/null`` (UNIX) or ``nul`` (Windows). .. confval:: sqlite_cache :type: boolean :default: False Use an `SQLite`_ database to store the cache. .. confval:: cache_fine_grained :type: boolean :default: False Include fine-grained dependency information in the cache for the mypy daemon. .. confval:: skip_version_check :type: boolean :default: False Makes mypy use incremental cache data even if it was generated by a different version of mypy. (By default, mypy will perform a version check and regenerate the cache if it was written by older versions of mypy.) .. confval:: skip_cache_mtime_checks :type: boolean :default: False Skip cache internal consistency checks based on mtime. Advanced options **************** These options may only be set in the global section (``[mypy]``). .. confval:: plugins :type: comma-separated list of strings A comma-separated list of mypy plugins. See :ref:`extending-mypy-using-plugins`. .. confval:: pdb :type: boolean :default: False Invokes :mod:`pdb` on fatal error. .. confval:: show_traceback :type: boolean :default: False Shows traceback on fatal error. .. confval:: raise_exceptions :type: boolean :default: False Raise exception on fatal error. .. confval:: custom_typing_module :type: string Specifies a custom module to use as a substitute for the :py:mod:`typing` module. .. confval:: custom_typeshed_dir :type: string This specifies the directory where mypy looks for standard library typeshed stubs, instead of the typeshed that ships with mypy. This is primarily intended to make it easier to test typeshed changes before submitting them upstream, but also allows you to use a forked version of typeshed. User home directory and environment variables will be expanded. Note that this doesn't affect third-party library stubs. To test third-party stubs, for example try ``MYPYPATH=stubs/six mypy ...``. .. confval:: warn_incomplete_stub :type: boolean :default: False Warns about missing type annotations in typeshed. This is only relevant in combination with :confval:`disallow_untyped_defs` or :confval:`disallow_incomplete_defs`. Report generation ***************** If these options are set, mypy will generate a report in the specified format into the specified directory. .. warning:: Generating reports disables incremental mode and can significantly slow down your workflow. It is recommended to enable reporting only for specific runs (e.g. in CI). .. confval:: any_exprs_report :type: string Causes mypy to generate a text file report documenting how many expressions of type ``Any`` are present within your codebase. .. confval:: cobertura_xml_report :type: string Causes mypy to generate a Cobertura XML type checking coverage report. To generate this report, you must either manually install the `lxml`_ library or specify mypy installation with the setuptools extra ``mypy[reports]``. .. confval:: html_report / xslt_html_report :type: string Causes mypy to generate an HTML type checking coverage report. To generate this report, you must either manually install the `lxml`_ library or specify mypy installation with the setuptools extra ``mypy[reports]``. .. confval:: linecount_report :type: string Causes mypy to generate a text file report documenting the functions and lines that are typed and untyped within your codebase. .. confval:: linecoverage_report :type: string Causes mypy to generate a JSON file that maps each source file's absolute filename to a list of line numbers that belong to typed functions in that file. .. confval:: lineprecision_report :type: string Causes mypy to generate a flat text file report with per-module statistics of how many lines are typechecked etc. .. confval:: txt_report / xslt_txt_report :type: string Causes mypy to generate a text file type checking coverage report. To generate this report, you must either manually install the `lxml`_ library or specify mypy installation with the setuptools extra ``mypy[reports]``. .. confval:: xml_report :type: string Causes mypy to generate an XML type checking coverage report. To generate this report, you must either manually install the `lxml`_ library or specify mypy installation with the setuptools extra ``mypy[reports]``. Miscellaneous ************* These options may only be set in the global section (``[mypy]``). .. confval:: junit_xml :type: string Causes mypy to generate a JUnit XML test result document with type checking results. This can make it easier to integrate mypy with continuous integration (CI) tools. .. confval:: junit_format :type: string :default: ``global`` If junit_xml is set, specifies format. global (default): single test with all errors; per_file: one test entry per file with failures. .. confval:: scripts_are_modules :type: boolean :default: False Makes script ``x`` become module ``x`` instead of ``__main__``. This is useful when checking multiple scripts in a single run. .. confval:: warn_unused_configs :type: boolean :default: False Warns about per-module sections in the config file that do not match any files processed when invoking mypy. (This requires turning off incremental mode using :confval:`incremental = False `.) .. confval:: verbosity :type: integer :default: 0 Controls how much debug output will be generated. Higher numbers are more verbose. .. _using-a-pyproject-toml: Using a pyproject.toml file *************************** Instead of using a ``mypy.ini`` file, a ``pyproject.toml`` file (as specified by `PEP 518`_) may be used instead. A few notes on doing so: * The ``[mypy]`` section should have ``tool.`` prepended to its name: * I.e., ``[mypy]`` would become ``[tool.mypy]`` * The module specific sections should be moved into ``[[tool.mypy.overrides]]`` sections: * For example, ``[mypy-packagename]`` would become: .. code-block:: toml [[tool.mypy.overrides]] module = 'packagename' ... * Multi-module specific sections can be moved into a single ``[[tool.mypy.overrides]]`` section with a module property set to an array of modules: * For example, ``[mypy-packagename,packagename2]`` would become: .. code-block:: toml [[tool.mypy.overrides]] module = [ 'packagename', 'packagename2' ] ... * The following care should be given to values in the ``pyproject.toml`` files as compared to ``ini`` files: * Strings must be wrapped in double quotes, or single quotes if the string contains special characters * Boolean values should be all lower case Please see the `TOML Documentation`_ for more details and information on what is allowed in a ``toml`` file. See `PEP 518`_ for more information on the layout and structure of the ``pyproject.toml`` file. Example ``pyproject.toml`` ************************** Here is an example of a ``pyproject.toml`` file. To use this config file, place it at the root of your repo (or append it to the end of an existing ``pyproject.toml`` file) and run mypy. .. code-block:: toml # mypy global options: [tool.mypy] python_version = "3.9" warn_return_any = true warn_unused_configs = true exclude = [ '^file1\.py$', # TOML literal string (single-quotes, no escaping necessary) "^file2\\.py$", # TOML basic string (double-quotes, backslash and other characters need escaping) ] # mypy per-module options: [[tool.mypy.overrides]] module = "mycode.foo.*" disallow_untyped_defs = true [[tool.mypy.overrides]] module = "mycode.bar" warn_return_any = false [[tool.mypy.overrides]] module = [ "somelibrary", "some_other_library" ] ignore_missing_imports = true .. _lxml: https://pypi.org/project/lxml/ .. _SQLite: https://www.sqlite.org/ .. _PEP 518: https://www.python.org/dev/peps/pep-0518/ .. _TOML Documentation: https://toml.io/ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/duck_type_compatibility.rst0000644000175100017510000000256315112307767022167 0ustar00runnerrunnerDuck type compatibility ----------------------- In Python, certain types are compatible even though they aren't subclasses of each other. For example, ``int`` objects are valid whenever ``float`` objects are expected. Mypy supports this idiom via *duck type compatibility*. This is supported for a small set of built-in types: * ``int`` is duck type compatible with ``float`` and ``complex``. * ``float`` is duck type compatible with ``complex``. * ``bytearray`` and ``memoryview`` are duck type compatible with ``bytes``. (this will be disabled by default in **mypy 2.0**, and currently can be disabled with :option:`--strict-bytes `.) For example, mypy considers an ``int`` object to be valid whenever a ``float`` object is expected. Thus code like this is nice and clean and also behaves as expected: .. code-block:: python import math def degrees_to_radians(degrees: float) -> float: return math.pi * degrees / 180 n = 90 # Inferred type 'int' print(degrees_to_radians(n)) # Okay! You can also often use :ref:`protocol-types` to achieve a similar effect in a more principled and extensible fashion. Protocols don't apply to cases like ``int`` being compatible with ``float``, since ``float`` is not a protocol class but a regular, concrete class, and many standard library functions expect concrete instances of ``float`` (or ``int``). ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/dynamic_typing.rst0000644000175100017510000001076515112307767020270 0ustar00runnerrunner.. _dynamic-typing: Dynamically typed code ====================== In :ref:`getting-started-dynamic-vs-static`, we discussed how bodies of functions that don't have any explicit type annotations in their function are "dynamically typed" and that mypy will not check them. In this section, we'll talk a little bit more about what that means and how you can enable dynamic typing on a more fine grained basis. In cases where your code is too magical for mypy to understand, you can make a variable or parameter dynamically typed by explicitly giving it the type ``Any``. Mypy will let you do basically anything with a value of type ``Any``, including assigning a value of type ``Any`` to a variable of any type (or vice versa). .. code-block:: python from typing import Any num = 1 # Statically typed (inferred to be int) num = 'x' # error: Incompatible types in assignment (expression has type "str", variable has type "int") dyn: Any = 1 # Dynamically typed (type Any) dyn = 'x' # OK num = dyn # No error, mypy will let you assign a value of type Any to any variable num += 1 # Oops, mypy still thinks num is an int You can think of ``Any`` as a way to locally disable type checking. See :ref:`silencing-type-errors` for other ways you can shut up the type checker. Operations on Any values ------------------------ You can do anything using a value with type ``Any``, and the type checker will not complain: .. code-block:: python def f(x: Any) -> int: # All of these are valid! x.foobar(1, y=2) print(x[3] + 'f') if x: x.z = x(2) open(x).read() return x Values derived from an ``Any`` value also usually have the type ``Any`` implicitly, as mypy can't infer a more precise result type. For example, if you get the attribute of an ``Any`` value or call a ``Any`` value the result is ``Any``: .. code-block:: python def f(x: Any) -> None: y = x.foo() reveal_type(y) # Revealed type is "Any" z = y.bar("mypy will let you do anything to y") reveal_type(z) # Revealed type is "Any" ``Any`` types may propagate through your program, making type checking less effective, unless you are careful. Function parameters without annotations are also implicitly ``Any``: .. code-block:: python def f(x) -> None: reveal_type(x) # Revealed type is "Any" x.can.do["anything", x]("wants", 2) You can make mypy warn you about untyped function parameters using the :option:`--disallow-untyped-defs ` flag. Generic types missing type parameters will have those parameters implicitly treated as ``Any``: .. code-block:: python def f(x: list) -> None: reveal_type(x) # Revealed type is "builtins.list[Any]" reveal_type(x[0]) # Revealed type is "Any" x[0].anything_goes() # OK You can make mypy warn you about missing generic parameters using the :option:`--disallow-any-generics ` flag. Finally, another major source of ``Any`` types leaking into your program is from third party libraries that mypy does not know about. This is particularly the case when using the :option:`--ignore-missing-imports ` flag. See :ref:`fix-missing-imports` for more information about this. .. _any-vs-object: Any vs. object -------------- The type :py:class:`object` is another type that can have an instance of arbitrary type as a value. Unlike ``Any``, :py:class:`object` is an ordinary static type (it is similar to ``Object`` in Java), and only operations valid for *all* types are accepted for :py:class:`object` values. These are all valid: .. code-block:: python def f(o: object) -> None: if o: print(o) print(isinstance(o, int)) o = 2 o = 'foo' These are, however, flagged as errors, since not all objects support these operations: .. code-block:: python def f(o: object) -> None: o.foo() # Error! o + 2 # Error! open(o) # Error! n: int = 1 n = o # Error! If you're not sure whether you need to use :py:class:`object` or ``Any``, use :py:class:`object` -- only switch to using ``Any`` if you get a type checker complaint. You can use different :ref:`type narrowing ` techniques to narrow :py:class:`object` to a more specific type (subtype) such as ``int``. Type narrowing is not needed with dynamically typed values (values with type ``Any``). ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/error_code_list.rst0000644000175100017510000012110315112307767020415 0ustar00runnerrunner.. _error-code-list: Error codes enabled by default ============================== This section documents various errors codes that mypy can generate with default options. See :ref:`error-codes` for general documentation about error codes. :ref:`error-codes-optional` documents additional error codes that you can enable. .. _code-attr-defined: Check that attribute exists [attr-defined] ------------------------------------------ Mypy checks that an attribute is defined in the target class or module when using the dot operator. This applies to both getting and setting an attribute. New attributes are defined by assignments in the class body, or assignments to ``self.x`` in methods. These assignments don't generate ``attr-defined`` errors. Example: .. code-block:: python class Resource: def __init__(self, name: str) -> None: self.name = name r = Resource('x') print(r.name) # OK print(r.id) # Error: "Resource" has no attribute "id" [attr-defined] r.id = 5 # Error: "Resource" has no attribute "id" [attr-defined] This error code is also generated if an imported name is not defined in the module in a ``from ... import`` statement (as long as the target module can be found): .. code-block:: python # Error: Module "os" has no attribute "non_existent" [attr-defined] from os import non_existent A reference to a missing attribute is given the ``Any`` type. In the above example, the type of ``non_existent`` will be ``Any``, which can be important if you silence the error. .. _code-union-attr: Check that attribute exists in each union item [union-attr] ----------------------------------------------------------- If you access the attribute of a value with a union type, mypy checks that the attribute is defined for *every* type in that union. Otherwise the operation can fail at runtime. This also applies to optional types. Example: .. code-block:: python class Cat: def sleep(self) -> None: ... def miaow(self) -> None: ... class Dog: def sleep(self) -> None: ... def follow_me(self) -> None: ... def func(animal: Cat | Dog) -> None: # OK: 'sleep' is defined for both Cat and Dog animal.sleep() # Error: Item "Cat" of "Cat | Dog" has no attribute "follow_me" [union-attr] animal.follow_me() You can often work around these errors by using ``assert isinstance(obj, ClassName)`` or ``assert obj is not None`` to tell mypy that you know that the type is more specific than what mypy thinks. .. _code-name-defined: Check that name is defined [name-defined] ----------------------------------------- Mypy expects that all references to names have a corresponding definition in an active scope, such as an assignment, function definition or an import. This can catch missing definitions, missing imports, and typos. This example accidentally calls ``sort()`` instead of :py:func:`sorted`: .. code-block:: python x = sort([3, 2, 4]) # Error: Name "sort" is not defined [name-defined] .. _code-used-before-def: Check that a variable is not used before it's defined [used-before-def] ----------------------------------------------------------------------- Mypy will generate an error if a name is used before it's defined. While the name-defined check will catch issues with names that are undefined, it will not flag if a variable is used and then defined later in the scope. used-before-def check will catch such cases. Example: .. code-block:: python print(x) # Error: Name "x" is used before definition [used-before-def] x = 123 .. _code-call-arg: Check arguments in calls [call-arg] ----------------------------------- Mypy expects that the number and names of arguments match the called function. Note that argument type checks have a separate error code ``arg-type``. Example: .. code-block:: python def greet(name: str) -> None: print('hello', name) greet('jack') # OK greet('jill', 'jack') # Error: Too many arguments for "greet" [call-arg] .. _code-arg-type: Check argument types [arg-type] ------------------------------- Mypy checks that argument types in a call match the declared argument types in the signature of the called function (if one exists). Example: .. code-block:: python def first(x: list[int]) -> int: return x[0] if x else 0 t = (5, 4) # Error: Argument 1 to "first" has incompatible type "tuple[int, int]"; # expected "list[int]" [arg-type] print(first(t)) .. _code-call-overload: Check calls to overloaded functions [call-overload] --------------------------------------------------- When you call an overloaded function, mypy checks that at least one of the signatures of the overload items match the argument types in the call. Example: .. code-block:: python from typing import overload @overload def inc_maybe(x: None) -> None: ... @overload def inc_maybe(x: int) -> int: ... def inc_maybe(x: int | None) -> int | None: if x is None: return None else: return x + 1 inc_maybe(None) # OK inc_maybe(5) # OK # Error: No overload variant of "inc_maybe" matches argument type "float" [call-overload] inc_maybe(1.2) .. _code-valid-type: Check validity of types [valid-type] ------------------------------------ Mypy checks that each type annotation and any expression that represents a type is a valid type. Examples of valid types include classes, union types, callable types, type aliases, and literal types. Examples of invalid types include bare integer literals, functions, variables, and modules. This example incorrectly uses the function ``log`` as a type: .. code-block:: python def log(x: object) -> None: print('log:', repr(x)) # Error: Function "t.log" is not valid as a type [valid-type] def log_all(objs: list[object], f: log) -> None: for x in objs: f(x) You can use :py:class:`~collections.abc.Callable` as the type for callable objects: .. code-block:: python from collections.abc import Callable # OK def log_all(objs: list[object], f: Callable[[object], None]) -> None: for x in objs: f(x) .. _code-metaclass: Check the validity of a class's metaclass [metaclass] ----------------------------------------------------- Mypy checks whether the metaclass of a class is valid. The metaclass must be a subclass of ``type``. Further, the class hierarchy must yield a consistent metaclass. For more details, see the `Python documentation `_ Note that mypy's metaclass checking is limited and may produce false-positives. See also :ref:`limitations`. Example with an error: .. code-block:: python class GoodMeta(type): pass class BadMeta: pass class A1(metaclass=GoodMeta): # OK pass class A2(metaclass=BadMeta): # Error: Metaclasses not inheriting from "type" are not supported [metaclass] pass .. _code-var-annotated: Require annotation if variable type is unclear [var-annotated] -------------------------------------------------------------- In some cases mypy can't infer the type of a variable without an explicit annotation. Mypy treats this as an error. This typically happens when you initialize a variable with an empty collection or ``None``. If mypy can't infer the collection item type, mypy replaces any parts of the type it couldn't infer with ``Any`` and generates an error. Example with an error: .. code-block:: python class Bundle: def __init__(self) -> None: # Error: Need type annotation for "items" # (hint: "items: list[] = ...") [var-annotated] self.items = [] reveal_type(Bundle().items) # list[Any] To address this, we add an explicit annotation: .. code-block:: python class Bundle: def __init__(self) -> None: self.items: list[str] = [] # OK reveal_type(Bundle().items) # list[str] .. _code-override: Check validity of overrides [override] -------------------------------------- Mypy checks that an overridden method or attribute is compatible with the base class. A method in a subclass must accept all arguments that the base class method accepts, and the return type must conform to the return type in the base class (Liskov substitution principle). Argument types can be more general is a subclass (i.e., they can vary contravariantly). The return type can be narrowed in a subclass (i.e., it can vary covariantly). It's okay to define additional arguments in a subclass method, as long all extra arguments have default values or can be left out (``*args``, for example). Example: .. code-block:: python class Base: def method(self, arg: int) -> int | None: ... class Derived(Base): def method(self, arg: int | str) -> int: # OK ... class DerivedBad(Base): # Error: Argument 1 of "method" is incompatible with "Base" [override] def method(self, arg: bool) -> int: ... .. _code-return: Check that function returns a value [return] -------------------------------------------- If a function has a non-``None`` return type, mypy expects that the function always explicitly returns a value (or raises an exception). The function should not fall off the end of the function, since this is often a bug. Example: .. code-block:: python # Error: Missing return statement [return] def show(x: int) -> int: print(x) # Error: Missing return statement [return] def pred1(x: int) -> int: if x > 0: return x - 1 # OK def pred2(x: int) -> int: if x > 0: return x - 1 else: raise ValueError('not defined for zero') .. _code-empty-body: Check that functions don't have empty bodies outside stubs [empty-body] ----------------------------------------------------------------------- This error code is similar to the ``[return]`` code but is emitted specifically for functions and methods with empty bodies (if they are annotated with non-trivial return type). Such a distinction exists because in some contexts an empty body can be valid, for example for an abstract method or in a stub file. Also old versions of mypy used to unconditionally allow functions with empty bodies, so having a dedicated error code simplifies cross-version compatibility. Note that empty bodies are allowed for methods in *protocols*, and such methods are considered implicitly abstract: .. code-block:: python from abc import abstractmethod from typing import Protocol class RegularABC: @abstractmethod def foo(self) -> int: pass # OK def bar(self) -> int: pass # Error: Missing return statement [empty-body] class Proto(Protocol): def bar(self) -> int: pass # OK .. _code-return-value: Check that return value is compatible [return-value] ---------------------------------------------------- Mypy checks that the returned value is compatible with the type signature of the function. Example: .. code-block:: python def func(x: int) -> str: # Error: Incompatible return value type (got "int", expected "str") [return-value] return x + 1 .. _code-assignment: Check types in assignment statement [assignment] ------------------------------------------------ Mypy checks that the assigned expression is compatible with the assignment target (or targets). Example: .. code-block:: python class Resource: def __init__(self, name: str) -> None: self.name = name r = Resource('A') r.name = 'B' # OK # Error: Incompatible types in assignment (expression has type "int", # variable has type "str") [assignment] r.name = 5 .. _code-method-assign: Check that assignment target is not a method [method-assign] ------------------------------------------------------------ In general, assigning to a method on class object or instance (a.k.a. monkey-patching) is ambiguous in terms of types, since Python's static type system cannot express the difference between bound and unbound callable types. Consider this example: .. code-block:: python class A: def f(self) -> None: pass def g(self) -> None: pass def h(self: A) -> None: pass A.f = h # Type of h is Callable[[A], None] A().f() # This works A.f = A().g # Type of A().g is Callable[[], None] A().f() # ...but this also works at runtime To prevent the ambiguity, mypy will flag both assignments by default. If this error code is disabled, mypy will treat the assigned value in all method assignments as unbound, so only the second assignment will still generate an error. .. note:: This error code is a subcode of the more general ``[assignment]`` code. .. _code-type-var: Check type variable values [type-var] ------------------------------------- Mypy checks that value of a type variable is compatible with a value restriction or the upper bound type. Example (Python 3.12 syntax): .. code-block:: python def add[T1: (int, float)](x: T1, y: T1) -> T1: return x + y add(4, 5.5) # OK # Error: Value of type variable "T1" of "add" cannot be "str" [type-var] add('x', 'y') .. _code-operator: Check uses of various operators [operator] ------------------------------------------ Mypy checks that operands support a binary or unary operation, such as ``+`` or ``~``. Indexing operations are so common that they have their own error code ``index`` (see below). Example: .. code-block:: python # Error: Unsupported operand types for + ("int" and "str") [operator] 1 + 'x' .. _code-index: Check indexing operations [index] --------------------------------- Mypy checks that the indexed value in indexing operation such as ``x[y]`` supports indexing, and that the index expression has a valid type. Example: .. code-block:: python a = {'x': 1, 'y': 2} a['x'] # OK # Error: Invalid index type "int" for "dict[str, int]"; expected type "str" [index] print(a[1]) # Error: Invalid index type "bytes" for "dict[str, int]"; expected type "str" [index] a[b'x'] = 4 .. _code-list-item: Check list items [list-item] ---------------------------- When constructing a list using ``[item, ...]``, mypy checks that each item is compatible with the list type that is inferred from the surrounding context. Example: .. code-block:: python # Error: List item 0 has incompatible type "int"; expected "str" [list-item] a: list[str] = [0] .. _code-dict-item: Check dict items [dict-item] ---------------------------- When constructing a dictionary using ``{key: value, ...}`` or ``dict(key=value, ...)``, mypy checks that each key and value is compatible with the dictionary type that is inferred from the surrounding context. Example: .. code-block:: python # Error: Dict entry 0 has incompatible type "str": "str"; expected "str": "int" [dict-item] d: dict[str, int] = {'key': 'value'} .. _code-typeddict-item: Check TypedDict items [typeddict-item] -------------------------------------- When constructing a TypedDict object, mypy checks that each key and value is compatible with the TypedDict type that is inferred from the surrounding context. When getting a TypedDict item, mypy checks that the key exists. When assigning to a TypedDict, mypy checks that both the key and the value are valid. Example: .. code-block:: python from typing import TypedDict class Point(TypedDict): x: int y: int # Error: Incompatible types (expression has type "float", # TypedDict item "x" has type "int") [typeddict-item] p: Point = {'x': 1.2, 'y': 4} .. _code-typeddict-unknown-key: Check TypedDict Keys [typeddict-unknown-key] -------------------------------------------- When constructing a TypedDict object, mypy checks whether the definition contains unknown keys, to catch invalid keys and misspellings. On the other hand, mypy will not generate an error when a previously constructed TypedDict value with extra keys is passed to a function as an argument, since TypedDict values support structural subtyping ("static duck typing") and the keys are assumed to have been validated at the point of construction. Example: .. code-block:: python from typing import TypedDict class Point(TypedDict): x: int y: int class Point3D(Point): z: int def add_x_coordinates(a: Point, b: Point) -> int: return a["x"] + b["x"] a: Point = {"x": 1, "y": 4} b: Point3D = {"x": 2, "y": 5, "z": 6} add_x_coordinates(a, b) # OK # Error: Extra key "z" for TypedDict "Point" [typeddict-unknown-key] add_x_coordinates(a, {"x": 1, "y": 4, "z": 5}) Setting a TypedDict item using an unknown key will also generate this error, since it could be a misspelling: .. code-block:: python a: Point = {"x": 1, "y": 2} # Error: Extra key "z" for TypedDict "Point" [typeddict-unknown-key] a["z"] = 3 Reading an unknown key will generate the more general (and serious) ``typeddict-item`` error, which is likely to result in an exception at runtime: .. code-block:: python a: Point = {"x": 1, "y": 2} # Error: TypedDict "Point" has no key "z" [typeddict-item] _ = a["z"] .. note:: This error code is a subcode of the wider ``[typeddict-item]`` code. .. _code-has-type: Check that type of target is known [has-type] --------------------------------------------- Mypy sometimes generates an error when it hasn't inferred any type for a variable being referenced. This can happen for references to variables that are initialized later in the source file, and for references across modules that form an import cycle. When this happens, the reference gets an implicit ``Any`` type. In this example the definitions of ``x`` and ``y`` are circular: .. code-block:: python class Problem: def set_x(self) -> None: # Error: Cannot determine type of "y" [has-type] self.x = self.y def set_y(self) -> None: self.y = self.x To work around this error, you can add an explicit type annotation to the target variable or attribute. Sometimes you can also reorganize the code so that the definition of the variable is placed earlier than the reference to the variable in a source file. Untangling cyclic imports may also help. We add an explicit annotation to the ``y`` attribute to work around the issue: .. code-block:: python class Problem: def set_x(self) -> None: self.x = self.y # OK def set_y(self) -> None: self.y: int = self.x # Added annotation here .. _code-import: Check for an issue with imports [import] ---------------------------------------- Mypy generates an error if it can't resolve an `import` statement. This is a parent error code of `import-not-found` and `import-untyped` See :ref:`ignore-missing-imports` for how to work around these errors. .. _code-import-not-found: Check that import target can be found [import-not-found] -------------------------------------------------------- Mypy generates an error if it can't find the source code or a stub file for an imported module. Example: .. code-block:: python # Error: Cannot find implementation or library stub for module named "m0dule_with_typo" [import-not-found] import m0dule_with_typo See :ref:`ignore-missing-imports` for how to work around these errors. .. _code-import-untyped: Check that import target can be found [import-untyped] -------------------------------------------------------- Mypy generates an error if it can find the source code for an imported module, but that module does not provide type annotations (via :ref:`PEP 561 `). Example: .. code-block:: python # Error: Library stubs not installed for "bs4" [import-untyped] import bs4 # Error: Skipping analyzing "no_py_typed": module is installed, but missing library stubs or py.typed marker [import-untyped] import no_py_typed In some cases, these errors can be fixed by installing an appropriate stub package. See :ref:`ignore-missing-imports` for more details. .. _code-no-redef: Check that each name is defined once [no-redef] ----------------------------------------------- Mypy may generate an error if you have multiple definitions for a name in the same namespace. The reason is that this is often an error, as the second definition may overwrite the first one. Also, mypy often can't be able to determine whether references point to the first or the second definition, which would compromise type checking. If you silence this error, all references to the defined name refer to the *first* definition. Example: .. code-block:: python class A: def __init__(self, x: int) -> None: ... class A: # Error: Name "A" already defined on line 1 [no-redef] def __init__(self, x: str) -> None: ... # Error: Argument 1 to "A" has incompatible type "str"; expected "int" # (the first definition wins!) A('x') .. _code-func-returns-value: Check that called function returns a value [func-returns-value] --------------------------------------------------------------- Mypy reports an error if you call a function with a ``None`` return type and don't ignore the return value, as this is usually (but not always) a programming error. In this example, the ``if f()`` check is always false since ``f`` returns ``None``: .. code-block:: python def f() -> None: ... # OK: we don't do anything with the return value f() # Error: "f" does not return a value (it only ever returns None) [func-returns-value] if f(): print("not false") .. _code-abstract: Check instantiation of abstract classes [abstract] -------------------------------------------------- Mypy generates an error if you try to instantiate an abstract base class (ABC). An abstract base class is a class with at least one abstract method or attribute. (See also :py:mod:`abc` module documentation) Sometimes a class is made accidentally abstract, often due to an unimplemented abstract method. In a case like this you need to provide an implementation for the method to make the class concrete (non-abstract). Example: .. code-block:: python from abc import ABCMeta, abstractmethod class Persistent(metaclass=ABCMeta): @abstractmethod def save(self) -> None: ... class Thing(Persistent): def __init__(self) -> None: ... ... # No "save" method # Error: Cannot instantiate abstract class "Thing" with abstract attribute "save" [abstract] t = Thing() .. _code-type-abstract: Safe handling of abstract type object types [type-abstract] ----------------------------------------------------------- Mypy always allows instantiating (calling) type objects typed as ``type[t]``, even if it is not known that ``t`` is non-abstract, since it is a common pattern to create functions that act as object factories (custom constructors). Therefore, to prevent issues described in the above section, when an abstract type object is passed where ``type[t]`` is expected, mypy will give an error. Example (Python 3.12 syntax): .. code-block:: python from abc import ABCMeta, abstractmethod class Config(metaclass=ABCMeta): @abstractmethod def get_value(self, attr: str) -> str: ... def make_many[T](typ: type[T], n: int) -> list[T]: return [typ() for _ in range(n)] # This will raise if typ is abstract # Error: Only concrete class can be given where "type[Config]" is expected [type-abstract] make_many(Config, 5) .. _code-safe-super: Check that call to an abstract method via super is valid [safe-super] --------------------------------------------------------------------- Abstract methods often don't have any default implementation, i.e. their bodies are just empty. Calling such methods in subclasses via ``super()`` will cause runtime errors, so mypy prevents you from doing so: .. code-block:: python from abc import abstractmethod class Base: @abstractmethod def foo(self) -> int: ... class Sub(Base): def foo(self) -> int: return super().foo() + 1 # error: Call to abstract method "foo" of "Base" with # trivial body via super() is unsafe [safe-super] Sub().foo() # This will crash at runtime. Mypy considers the following as trivial bodies: a ``pass`` statement, a literal ellipsis ``...``, a docstring, and a ``raise NotImplementedError`` statement. .. _code-valid-newtype: Check the target of NewType [valid-newtype] ------------------------------------------- The target of a :py:class:`~typing.NewType` definition must be a class type. It can't be a union type, ``Any``, or various other special types. You can also get this error if the target has been imported from a module whose source mypy cannot find, since any such definitions are treated by mypy as values with ``Any`` types. Example: .. code-block:: python from typing import NewType # The source for "acme" is not available for mypy from acme import Entity # type: ignore # Error: Argument 2 to NewType(...) must be subclassable (got "Any") [valid-newtype] UserEntity = NewType('UserEntity', Entity) To work around the issue, you can either give mypy access to the sources for ``acme`` or create a stub file for the module. See :ref:`ignore-missing-imports` for more information. .. _code-exit-return: Check the return type of __exit__ [exit-return] ----------------------------------------------- If mypy can determine that :py:meth:`__exit__ ` always returns ``False``, mypy checks that the return type is *not* ``bool``. The boolean value of the return type affects which lines mypy thinks are reachable after a ``with`` statement, since any :py:meth:`__exit__ ` method that can return ``True`` may swallow exceptions. An imprecise return type can result in mysterious errors reported near ``with`` statements. To fix this, use either ``typing.Literal[False]`` or ``None`` as the return type. Returning ``None`` is equivalent to returning ``False`` in this context, since both are treated as false values. Example: .. code-block:: python class MyContext: ... def __exit__(self, exc, value, tb) -> bool: # Error print('exit') return False This produces the following output from mypy: .. code-block:: text example.py:3: error: "bool" is invalid as return type for "__exit__" that always returns False example.py:3: note: Use "typing_extensions.Literal[False]" as the return type or change it to "None" example.py:3: note: If return type of "__exit__" implies that it may return True, the context manager may swallow exceptions You can use ``Literal[False]`` to fix the error: .. code-block:: python from typing import Literal class MyContext: ... def __exit__(self, exc, value, tb) -> Literal[False]: # OK print('exit') return False You can also use ``None``: .. code-block:: python class MyContext: ... def __exit__(self, exc, value, tb) -> None: # Also OK print('exit') .. _code-name-match: Check that naming is consistent [name-match] -------------------------------------------- The definition of a named tuple or a TypedDict must be named consistently when using the call-based syntax. Example: .. code-block:: python from typing import NamedTuple # Error: First argument to namedtuple() should be "Point2D", not "Point" Point2D = NamedTuple("Point", [("x", int), ("y", int)]) .. _code-literal-required: Check that literal is used where expected [literal-required] ------------------------------------------------------------ There are some places where only a (string) literal value is expected for the purposes of static type checking, for example a ``TypedDict`` key, or a ``__match_args__`` item. Providing a ``str``-valued variable in such contexts will result in an error. Note that in many cases you can also use ``Final`` or ``Literal`` variables. Example: .. code-block:: python from typing import Final, Literal, TypedDict class Point(TypedDict): x: int y: int def test(p: Point) -> None: X: Final = "x" p[X] # OK Y: Literal["y"] = "y" p[Y] # OK key = "x" # Inferred type of key is `str` # Error: TypedDict key must be a string literal; # expected one of ("x", "y") [literal-required] p[key] .. _code-no-overload-impl: Check that overloaded functions have an implementation [no-overload-impl] ------------------------------------------------------------------------- Overloaded functions outside of stub files must be followed by a non overloaded implementation. .. code-block:: python from typing import overload @overload def func(value: int) -> int: ... @overload def func(value: str) -> str: ... # presence of required function below is checked def func(value): pass # actual implementation .. _code-unused-coroutine: Check that coroutine return value is used [unused-coroutine] ------------------------------------------------------------ Mypy ensures that return values of async def functions are not ignored, as this is usually a programming error, as the coroutine won't be executed at the call site. .. code-block:: python async def f() -> None: ... async def g() -> None: f() # Error: missing await await f() # OK You can work around this error by assigning the result to a temporary, otherwise unused variable: .. code-block:: python _ = f() # No error .. _code-top-level-await: Warn about top level await expressions [top-level-await] -------------------------------------------------------- This error code is separate from the general ``[syntax]`` errors, because in some environments (e.g. IPython) a top level ``await`` is allowed. In such environments a user may want to use ``--disable-error-code=top-level-await``, which allows one to still have errors for other improper uses of ``await``, for example: .. code-block:: python async def f() -> None: ... top = await f() # Error: "await" outside function [top-level-await] .. _code-await-not-async: Warn about await expressions used outside of coroutines [await-not-async] ------------------------------------------------------------------------- ``await`` must be used inside a coroutine. .. code-block:: python async def f() -> None: ... def g() -> None: await f() # Error: "await" outside coroutine ("async def") [await-not-async] .. _code-assert-type: Check types in assert_type [assert-type] ---------------------------------------- The inferred type for an expression passed to ``assert_type`` must match the provided type. .. code-block:: python from typing_extensions import assert_type assert_type([1], list[int]) # OK assert_type([1], list[str]) # Error .. _code-truthy-function: Check that function isn't used in boolean context [truthy-function] ------------------------------------------------------------------- Functions will always evaluate to true in boolean contexts. .. code-block:: python def f(): ... if f: # Error: Function "Callable[[], Any]" could always be true in boolean context [truthy-function] pass .. _code-str-format: Check that string formatting/interpolation is type-safe [str-format] -------------------------------------------------------------------- Mypy will check that f-strings, ``str.format()`` calls, and ``%`` interpolations are valid (when corresponding template is a literal string). This includes checking number and types of replacements, for example: .. code-block:: python # Error: Cannot find replacement for positional format specifier 1 [str-format] "{} and {}".format("spam") "{} and {}".format("spam", "eggs") # OK # Error: Not all arguments converted during string formatting [str-format] "{} and {}".format("spam", "eggs", "cheese") # Error: Incompatible types in string interpolation # (expression has type "float", placeholder has type "int") [str-format] "{:d}".format(3.14) .. _code-str-bytes-safe: Check for implicit bytes coercions [str-bytes-safe] ------------------------------------------------------------------- Warn about cases where a bytes object may be converted to a string in an unexpected manner. .. code-block:: python b = b"abc" # Error: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". # If this is desired behavior, use f"{x!r}" or "{!r}".format(x). # Otherwise, decode the bytes [str-bytes-safe] print(f"The alphabet starts with {b}") # Okay print(f"The alphabet starts with {b!r}") # The alphabet starts with b'abc' print(f"The alphabet starts with {b.decode('utf-8')}") # The alphabet starts with abc .. _code-overload-overlap: Check that overloaded functions don't overlap [overload-overlap] ---------------------------------------------------------------- Warn if multiple ``@overload`` variants overlap in potentially unsafe ways. This guards against the following situation: .. code-block:: python from typing import overload class A: ... class B(A): ... @overload def foo(x: B) -> int: ... # Error: Overloaded function signatures 1 and 2 overlap with incompatible return types [overload-overlap] @overload def foo(x: A) -> str: ... def foo(x): ... def takes_a(a: A) -> str: return foo(a) a: A = B() value = takes_a(a) # mypy will think that value is a str, but it could actually be an int reveal_type(value) # Revealed type is "builtins.str" Note that in cases where you ignore this error, mypy will usually still infer the types you expect. See :ref:`overloading ` for more explanation. .. _code-overload-cannot-match: Check for overload signatures that cannot match [overload-cannot-match] -------------------------------------------------------------------------- Warn if an ``@overload`` variant can never be matched, because an earlier overload has a wider signature. For example, this can happen if the two overloads accept the same parameters and each parameter on the first overload has the same type or a wider type than the corresponding parameter on the second overload. Example: .. code-block:: python from typing import overload, Union @overload def process(response1: object, response2: object) -> object: ... @overload def process(response1: int, response2: int) -> int: # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader [overload-cannot-match] ... def process(response1: object, response2: object) -> object: return response1 + response2 .. _code-annotation-unchecked: Notify about an annotation in an unchecked function [annotation-unchecked] -------------------------------------------------------------------------- Sometimes a user may accidentally omit an annotation for a function, and mypy will not check the body of this function (unless one uses :option:`--check-untyped-defs ` or :option:`--disallow-untyped-defs `). To avoid such situations go unnoticed, mypy will show a note, if there are any type annotations in an unchecked function: .. code-block:: python def test_assignment(): # "-> None" return annotation is missing # Note: By default the bodies of untyped functions are not checked, # consider using --check-untyped-defs [annotation-unchecked] x: int = "no way" Note that mypy will still exit with return code ``0``, since such behaviour is specified by :pep:`484`. .. _code-prop-decorator: Decorator preceding property not supported [prop-decorator] ----------------------------------------------------------- Mypy does not yet support analysis of decorators that precede the property decorator. If the decorator does not preserve the declared type of the property, mypy will not infer the correct type for the declaration. If the decorator cannot be moved after the ``@property`` decorator, then you must use a type ignore comment: .. code-block:: python class MyClass: @special # type: ignore[prop-decorator] @property def magic(self) -> str: return "xyzzy" .. note:: For backward compatibility, this error code is a subcode of the generic ``[misc]`` code. .. _code-syntax: Report syntax errors [syntax] ----------------------------- If the code being checked is not syntactically valid, mypy issues a syntax error. Most, but not all, syntax errors are *blocking errors*: they can't be ignored with a ``# type: ignore`` comment. .. _code-typeddict-readonly-mutated: ReadOnly key of a TypedDict is mutated [typeddict-readonly-mutated] ------------------------------------------------------------------- Consider this example: .. code-block:: python from datetime import datetime from typing import TypedDict from typing_extensions import ReadOnly class User(TypedDict): username: ReadOnly[str] last_active: datetime user: User = {'username': 'foobar', 'last_active': datetime.now()} user['last_active'] = datetime.now() # ok user['username'] = 'other' # error: ReadOnly TypedDict key "key" TypedDict is mutated [typeddict-readonly-mutated] `PEP 705 `_ specifies how ``ReadOnly`` special form works for ``TypedDict`` objects. .. _code-narrowed-type-not-subtype: Check that ``TypeIs`` narrows types [narrowed-type-not-subtype] --------------------------------------------------------------- :pep:`742` requires that when ``TypeIs`` is used, the narrowed type must be a subtype of the original type:: from typing_extensions import TypeIs def f(x: int) -> TypeIs[str]: # Error, str is not a subtype of int ... def g(x: object) -> TypeIs[str]: # OK ... .. _code-maybe-unrecognized-str-typeform: String appears in a context which expects a TypeForm [maybe-unrecognized-str-typeform] -------------------------------------------------------------------------------------- TypeForm literals may contain string annotations: .. code-block:: python typx1: TypeForm = str | None typx2: TypeForm = 'str | None' # OK typx3: TypeForm = 'str' | None # OK However TypeForm literals containing a string annotation can only be recognized by mypy in the following locations: .. code-block:: python typx_var: TypeForm = 'str | None' # assignment r-value def func(typx_param: TypeForm) -> TypeForm: return 'str | None' # returned expression func('str | None') # callable's argument If you try to use a string annotation in some other location which expects a TypeForm, the string value will always be treated as a ``str`` even if a ``TypeForm`` would be more appropriate and this error code will be generated: .. code-block:: python # Error: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. [maybe-unrecognized-str-typeform] # Error: List item 0 has incompatible type "str"; expected "TypeForm[Any]" [list-item] list_of_typx: list[TypeForm] = ['str | None', float] Fix the error by surrounding the entire type with ``TypeForm(...)``: .. code-block:: python list_of_typx: list[TypeForm] = [TypeForm('str | None'), float] # OK Similarly, if you try to use a string literal in a location which expects a TypeForm, this error code will be generated: .. code-block:: python dict_of_typx = {'str_or_none': TypeForm(str | None)} # Error: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. [maybe-unrecognized-str-typeform] list_of_typx: list[TypeForm] = [dict_of_typx['str_or_none']] Fix the error by adding ``# type: ignore[maybe-unrecognized-str-typeform]`` to the line with the string literal: .. code-block:: python dict_of_typx = {'str_or_none': TypeForm(str | None)} list_of_typx: list[TypeForm] = [dict_of_typx['str_or_none']] # type: ignore[maybe-unrecognized-str-typeform] .. _code-misc: Miscellaneous checks [misc] --------------------------- Mypy performs numerous other, less commonly failing checks that don't have specific error codes. These use the ``misc`` error code. Other than being used for multiple unrelated errors, the ``misc`` error code is not special. For example, you can ignore all errors in this category by using ``# type: ignore[misc]`` comment. Since these errors are not expected to be common, it's unlikely that you'll see two *different* errors with the ``misc`` code on a single line -- though this can certainly happen once in a while. .. note:: Future mypy versions will likely add new error codes for some errors that currently use the ``misc`` error code. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/error_code_list2.rst0000644000175100017510000005366515112307767020520 0ustar00runnerrunner.. _error-codes-optional: Error codes for optional checks =============================== This section documents various errors codes that mypy generates only if you enable certain options. See :ref:`error-codes` for general documentation about error codes and their configuration. :ref:`error-code-list` documents error codes that are enabled by default. .. note:: The examples in this section use :ref:`inline configuration ` to specify mypy options. You can also set the same options by using a :ref:`configuration file ` or :ref:`command-line options `. .. _code-type-arg: Check that type arguments exist [type-arg] ------------------------------------------ If you use :option:`--disallow-any-generics `, mypy requires that each generic type has values for each type argument. For example, the types ``list`` or ``dict`` would be rejected. You should instead use types like ``list[int]`` or ``dict[str, int]``. Any omitted generic type arguments get implicit ``Any`` values. The type ``list`` is equivalent to ``list[Any]``, and so on. Example: .. code-block:: python # mypy: disallow-any-generics # Error: Missing type parameters for generic type "list" [type-arg] def remove_dups(items: list) -> list: ... .. _code-no-untyped-def: Check that every function has an annotation [no-untyped-def] ------------------------------------------------------------ If you use :option:`--disallow-untyped-defs `, mypy requires that all functions have annotations (either a Python 3 annotation or a type comment). Example: .. code-block:: python # mypy: disallow-untyped-defs def inc(x): # Error: Function is missing a type annotation [no-untyped-def] return x + 1 def inc_ok(x: int) -> int: # OK return x + 1 class Counter: # Error: Function is missing a type annotation [no-untyped-def] def __init__(self): self.value = 0 class CounterOk: # OK: An explicit "-> None" is needed if "__init__" takes no arguments def __init__(self) -> None: self.value = 0 .. _code-redundant-cast: Check that cast is not redundant [redundant-cast] ------------------------------------------------- If you use :option:`--warn-redundant-casts `, mypy will generate an error if the source type of a cast is the same as the target type. Example: .. code-block:: python # mypy: warn-redundant-casts from typing import cast Count = int def example(x: Count) -> int: # Error: Redundant cast to "int" [redundant-cast] return cast(int, x) .. _code-redundant-self: Check that methods do not have redundant Self annotations [redundant-self] -------------------------------------------------------------------------- If a method uses the ``Self`` type in the return type or the type of a non-self argument, there is no need to annotate the ``self`` argument explicitly. Such annotations are allowed by :pep:`673` but are redundant. If you enable this error code, mypy will generate an error if there is a redundant ``Self`` type. Example: .. code-block:: python # mypy: enable-error-code="redundant-self" from typing import Self class C: # Error: Redundant "Self" annotation for the first method argument def copy(self: Self) -> Self: return type(self)() .. _code-comparison-overlap: Check that comparisons are overlapping [comparison-overlap] ----------------------------------------------------------- If you use :option:`--strict-equality `, mypy will generate an error if it thinks that a comparison operation is always true or false. These are often bugs. Sometimes mypy is too picky and the comparison can actually be useful. Instead of disabling strict equality checking everywhere, you can use ``# type: ignore[comparison-overlap]`` to ignore the issue on a particular line only. Example: .. code-block:: python # mypy: strict-equality def is_magic(x: bytes) -> bool: # Error: Non-overlapping equality check (left operand type: "bytes", # right operand type: "str") [comparison-overlap] return x == 'magic' We can fix the error by changing the string literal to a bytes literal: .. code-block:: python # mypy: strict-equality def is_magic(x: bytes) -> bool: return x == b'magic' # OK :option:`--strict-equality ` does not include comparisons with ``None``: .. code-block:: python # mypy: strict-equality def is_none(x: str) -> bool: return x is None # OK If you want such checks, you must also activate :option:`--strict-equality-for-none ` (we might merge these two options later). .. code-block:: python # mypy: strict-equality strict-equality-for-none def is_none(x: str) -> bool: # Error: Non-overlapping identity check # (left operand type: "str", right operand type: "None") return x is None .. _code-no-untyped-call: Check that no untyped functions are called [no-untyped-call] ------------------------------------------------------------ If you use :option:`--disallow-untyped-calls `, mypy generates an error when you call an unannotated function in an annotated function. Example: .. code-block:: python # mypy: disallow-untyped-calls def do_it() -> None: # Error: Call to untyped function "bad" in typed context [no-untyped-call] bad() def bad(): ... .. _code-no-any-return: Check that function does not return Any value [no-any-return] ------------------------------------------------------------- If you use :option:`--warn-return-any `, mypy generates an error if you return a value with an ``Any`` type in a function that is annotated to return a non-``Any`` value. Example: .. code-block:: python # mypy: warn-return-any def fields(s): return s.split(',') def first_field(x: str) -> str: # Error: Returning Any from function declared to return "str" [no-any-return] return fields(x)[0] .. _code-no-any-unimported: Check that types have no Any components due to missing imports [no-any-unimported] ---------------------------------------------------------------------------------- If you use :option:`--disallow-any-unimported `, mypy generates an error if a component of a type becomes ``Any`` because mypy couldn't resolve an import. These "stealth" ``Any`` types can be surprising and accidentally cause imprecise type checking. In this example, we assume that mypy can't find the module ``animals``, which means that ``Cat`` falls back to ``Any`` in a type annotation: .. code-block:: python # mypy: disallow-any-unimported from animals import Cat # type: ignore # Error: Argument 1 to "feed" becomes "Any" due to an unfollowed import [no-any-unimported] def feed(cat: Cat) -> None: ... .. _code-unreachable: Check that statement or expression is unreachable [unreachable] --------------------------------------------------------------- If you use :option:`--warn-unreachable `, mypy generates an error if it thinks that a statement or expression will never be executed. In most cases, this is due to incorrect control flow or conditional checks that are accidentally always true or false. .. code-block:: python # mypy: warn-unreachable def example(x: int) -> None: # Error: Right operand of "or" is never evaluated [unreachable] assert isinstance(x, int) or x == 'unused' return # Error: Statement is unreachable [unreachable] print('unreachable') .. _code-deprecated: Check that imported or used feature is deprecated [deprecated] -------------------------------------------------------------- If you use :option:`--enable-error-code deprecated `, mypy generates an error if your code imports a deprecated feature explicitly with a ``from mod import depr`` statement or uses a deprecated feature imported otherwise or defined locally. Features are considered deprecated when decorated with ``warnings.deprecated``, as specified in `PEP 702 `_. Use the :option:`--report-deprecated-as-note ` option to turn all such errors into notes. Use :option:`--deprecated-calls-exclude ` to hide warnings for specific functions, classes and packages. .. note:: The ``warnings`` module provides the ``@deprecated`` decorator since Python 3.13. To use it with older Python versions, import it from ``typing_extensions`` instead. Examples: .. code-block:: python # mypy: report-deprecated-as-error # Error: abc.abstractproperty is deprecated: Deprecated, use 'property' with 'abstractmethod' instead from abc import abstractproperty from typing_extensions import deprecated @deprecated("use new_function") def old_function() -> None: print("I am old") # Error: __main__.old_function is deprecated: use new_function old_function() old_function() # type: ignore[deprecated] .. _code-redundant-expr: Check that expression is redundant [redundant-expr] --------------------------------------------------- If you use :option:`--enable-error-code redundant-expr `, mypy generates an error if it thinks that an expression is redundant. .. code-block:: python # mypy: enable-error-code="redundant-expr" def example(x: int) -> None: # Error: Left operand of "and" is always true [redundant-expr] if isinstance(x, int) and x > 0: pass # Error: If condition is always true [redundant-expr] 1 if isinstance(x, int) else 0 # Error: If condition in comprehension is always true [redundant-expr] [i for i in range(x) if isinstance(i, int)] .. _code-possibly-undefined: Warn about variables that are defined only in some execution paths [possibly-undefined] --------------------------------------------------------------------------------------- If you use :option:`--enable-error-code possibly-undefined `, mypy generates an error if it cannot verify that a variable will be defined in all execution paths. This includes situations when a variable definition appears in a loop, in a conditional branch, in an except handler, etc. For example: .. code-block:: python # mypy: enable-error-code="possibly-undefined" from collections.abc import Iterable def test(values: Iterable[int], flag: bool) -> None: if flag: a = 1 z = a + 1 # Error: Name "a" may be undefined [possibly-undefined] for v in values: b = v z = b + 1 # Error: Name "b" may be undefined [possibly-undefined] .. _code-truthy-bool: Check that expression is not implicitly true in boolean context [truthy-bool] ----------------------------------------------------------------------------- Warn when the type of an expression in a boolean context does not implement ``__bool__`` or ``__len__``. Unless one of these is implemented by a subtype, the expression will always be considered true, and there may be a bug in the condition. As an exception, the ``object`` type is allowed in a boolean context. Using an iterable value in a boolean context has a separate error code (see below). .. code-block:: python # mypy: enable-error-code="truthy-bool" class Foo: pass foo = Foo() # Error: "foo" has type "Foo" which does not implement __bool__ or __len__ so it could always be true in boolean context if foo: ... .. _code-truthy-iterable: Check that iterable is not implicitly true in boolean context [truthy-iterable] ------------------------------------------------------------------------------- Generate an error if a value of type ``Iterable`` is used as a boolean condition, since ``Iterable`` does not implement ``__len__`` or ``__bool__``. Example: .. code-block:: python from collections.abc import Iterable def transform(items: Iterable[int]) -> list[int]: # Error: "items" has type "Iterable[int]" which can always be true in boolean context. Consider using "Collection[int]" instead. [truthy-iterable] if not items: return [42] return [x + 1 for x in items] If ``transform`` is called with a ``Generator`` argument, such as ``int(x) for x in []``, this function would not return ``[42]`` unlike what might be intended. Of course, it's possible that ``transform`` is only called with ``list`` or other container objects, and the ``if not items`` check is actually valid. If that is the case, it is recommended to annotate ``items`` as ``Collection[int]`` instead of ``Iterable[int]``. .. _code-ignore-without-code: Check that ``# type: ignore`` include an error code [ignore-without-code] ------------------------------------------------------------------------- Warn when a ``# type: ignore`` comment does not specify any error codes. This clarifies the intent of the ignore and ensures that only the expected errors are silenced. Example: .. code-block:: python # mypy: enable-error-code="ignore-without-code" class Foo: def __init__(self, name: str) -> None: self.name = name f = Foo('foo') # This line has a typo that mypy can't help with as both: # - the expected error 'assignment', and # - the unexpected error 'attr-defined' # are silenced. # Error: "type: ignore" comment without error code (consider "type: ignore[attr-defined]" instead) f.nme = 42 # type: ignore # This line warns correctly about the typo in the attribute name # Error: "Foo" has no attribute "nme"; maybe "name"? f.nme = 42 # type: ignore[assignment] .. _code-unused-awaitable: Check that awaitable return value is used [unused-awaitable] ------------------------------------------------------------ If you use :option:`--enable-error-code unused-awaitable `, mypy generates an error if you don't use a returned value that defines ``__await__``. Example: .. code-block:: python # mypy: enable-error-code="unused-awaitable" import asyncio async def f() -> int: ... async def g() -> None: # Error: Value of type "Task[int]" must be used # Are you missing an await? asyncio.create_task(f()) You can assign the value to a temporary, otherwise unused variable to silence the error: .. code-block:: python async def g() -> None: _ = asyncio.create_task(f()) # No error .. _code-unused-ignore: Check that ``# type: ignore`` comment is used [unused-ignore] ------------------------------------------------------------- If you use :option:`--enable-error-code unused-ignore `, or :option:`--warn-unused-ignores ` mypy generates an error if you don't use a ``# type: ignore`` comment, i.e. if there is a comment, but there would be no error generated by mypy on this line anyway. Example: .. code-block:: python # Use "mypy --warn-unused-ignores ..." def add(a: int, b: int) -> int: # Error: unused "type: ignore" comment return a + b # type: ignore Note that due to a specific nature of this comment, the only way to selectively silence it, is to include the error code explicitly. Also note that this error is not shown if the ``# type: ignore`` is not used due to code being statically unreachable (e.g. due to platform or version checks). Example: .. code-block:: python # Use "mypy --warn-unused-ignores ..." import sys try: # The "[unused-ignore]" is needed to get a clean mypy run # on both Python 3.8, and 3.9 where this module was added import graphlib # type: ignore[import,unused-ignore] except ImportError: pass if sys.version_info >= (3, 9): # The following will not generate an error on either # Python 3.8, or Python 3.9 42 + "testing..." # type: ignore .. _code-explicit-override: Check that ``@override`` is used when overriding a base class method [explicit-override] ---------------------------------------------------------------------------------------- If you use :option:`--enable-error-code explicit-override ` mypy generates an error if you override a base class method without using the ``@override`` decorator. An error will not be emitted for overrides of ``__init__`` or ``__new__``. See `PEP 698 `_. .. note:: Starting with Python 3.12, the ``@override`` decorator can be imported from ``typing``. To use it with older Python versions, import it from ``typing_extensions`` instead. Example: .. code-block:: python # mypy: enable-error-code="explicit-override" from typing import override class Parent: def f(self, x: int) -> None: pass def g(self, y: int) -> None: pass class Child(Parent): def f(self, x: int) -> None: # Error: Missing @override decorator pass @override def g(self, y: int) -> None: pass .. _code-mutable-override: Check that overrides of mutable attributes are safe [mutable-override] ---------------------------------------------------------------------- `mutable-override` will enable the check for unsafe overrides of mutable attributes. For historical reasons, and because this is a relatively common pattern in Python, this check is not enabled by default. The example below is unsafe, and will be flagged when this error code is enabled: .. code-block:: python from typing import Any class C: x: float y: float z: float class D(C): x: int # Error: Covariant override of a mutable attribute # (base class "C" defined the type as "float", # expression has type "int") [mutable-override] y: float # OK z: Any # OK def f(c: C) -> None: c.x = 1.1 d = D() f(d) d.x >> 1 # This will crash at runtime, because d.x is now float, not an int .. _code-unimported-reveal: Check that ``reveal_type`` is imported from typing or typing_extensions [unimported-reveal] ------------------------------------------------------------------------------------------- Mypy used to have ``reveal_type`` as a special builtin that only existed during type-checking. In runtime it fails with expected ``NameError``, which can cause real problem in production, hidden from mypy. But, in Python3.11 :py:func:`typing.reveal_type` was added. ``typing_extensions`` ported this helper to all supported Python versions. Now users can actually import ``reveal_type`` to make the runtime code safe. .. note:: Starting with Python 3.11, the ``reveal_type`` function can be imported from ``typing``. To use it with older Python versions, import it from ``typing_extensions`` instead. .. code-block:: python # mypy: enable-error-code="unimported-reveal" x = 1 reveal_type(x) # Note: Revealed type is "builtins.int" \ # Error: Name "reveal_type" is not defined Correct usage: .. code-block:: python # mypy: enable-error-code="unimported-reveal" from typing import reveal_type # or `typing_extensions` x = 1 # This won't raise an error: reveal_type(x) # Note: Revealed type is "builtins.int" When this code is enabled, using ``reveal_locals`` is always an error, because there's no way one can import it. .. _code-explicit-any: Check that explicit Any type annotations are not allowed [explicit-any] ----------------------------------------------------------------------- If you use :option:`--disallow-any-explicit `, mypy generates an error if you use an explicit ``Any`` type annotation. Example: .. code-block:: python # mypy: disallow-any-explicit from typing import Any x: Any = 1 # Error: Explicit "Any" type annotation [explicit-any] .. _code-exhaustive-match: Check that match statements match exhaustively [exhaustive-match] ----------------------------------------------------------------------- If enabled with :option:`--enable-error-code exhaustive-match `, mypy generates an error if a match statement does not match all possible cases/types. Example: .. code-block:: python import enum class Color(enum.Enum): RED = 1 BLUE = 2 val: Color = Color.RED # OK without --enable-error-code exhaustive-match match val: case Color.RED: print("red") # With --enable-error-code exhaustive-match # Error: Match statement has unhandled case for values of type "Literal[Color.BLUE]" match val: case Color.RED: print("red") # OK with or without --enable-error-code exhaustive-match, since all cases are handled match val: case Color.RED: print("red") case _: print("other") .. _code-untyped-decorator: Error if an untyped decorator makes a typed function effectively untyped [untyped-decorator] -------------------------------------------------------------------------------------------- If enabled with :option:`--disallow-untyped-decorators ` mypy generates an error if a typed function is wrapped by an untyped decorator (as this would effectively remove the benefits of typing the function). Example: .. code-block:: python def printing_decorator(func): def wrapper(*args, **kwds): print("Calling", func) return func(*args, **kwds) return wrapper # A decorated function. @printing_decorator # E: Untyped decorator makes function "add_forty_two" untyped [untyped-decorator] def add_forty_two(value: int) -> int: return value + 42 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/error_codes.rst0000644000175100017510000001010115112307767017540 0ustar00runnerrunner.. _error-codes: Error codes =========== Mypy can optionally display an error code such as ``[attr-defined]`` after each error message. Error codes serve two purposes: 1. It's possible to silence specific error codes on a line using ``# type: ignore[code]``. This way you won't accidentally ignore other, potentially more serious errors. 2. The error code can be used to find documentation about the error. The next two topics (:ref:`error-code-list` and :ref:`error-codes-optional`) document the various error codes mypy can report. Most error codes are shared between multiple related error messages. Error codes may change in future mypy releases. .. _silence-error-codes: Silencing errors based on error codes ------------------------------------- You can use a special comment ``# type: ignore[code, ...]`` to only ignore errors with a specific error code (or codes) on a particular line. This can be used even if you have not configured mypy to show error codes. This example shows how to ignore an error about an imported name mypy thinks is undefined: .. code-block:: python # 'foo' is defined in 'foolib', even though mypy can't see the # definition. from foolib import foo # type: ignore[attr-defined] Enabling/disabling specific error codes globally ------------------------------------------------ There are command-line flags and config file settings for enabling certain optional error codes, such as :option:`--disallow-untyped-defs `, which enables the ``no-untyped-def`` error code. You can use :option:`--enable-error-code ` and :option:`--disable-error-code ` to enable or disable specific error codes that don't have a dedicated command-line flag or config file setting. Per-module enabling/disabling error codes ----------------------------------------- You can use :ref:`configuration file ` sections to enable or disable specific error codes only in some modules. For example, this ``mypy.ini`` config will enable non-annotated empty containers in tests, while keeping other parts of code checked in strict mode: .. code-block:: ini [mypy] strict = True [mypy-tests.*] allow_untyped_defs = True allow_untyped_calls = True disable_error_code = var-annotated, has-type Note that per-module enabling/disabling acts as override over the global options. So that you don't need to repeat the error code lists for each module if you have them in global config section. For example: .. code-block:: ini [mypy] enable_error_code = truthy-bool, ignore-without-code, unused-awaitable [mypy-extensions.*] disable_error_code = unused-awaitable The above config will allow unused awaitables in extension modules, but will still keep the other two error codes enabled. The overall logic is following: * Command line and/or config main section set global error codes * Individual config sections *adjust* them per glob/module * Inline ``# mypy: disable-error-code="..."`` and ``# mypy: enable-error-code="..."`` comments can further *adjust* them for a specific file. For example: .. code-block:: python # mypy: enable-error-code="truthy-bool, ignore-without-code" So one can e.g. enable some code globally, disable it for all tests in the corresponding config section, and then re-enable it with an inline comment in some specific test. Subcodes of error codes ----------------------- In some cases, mostly for backwards compatibility reasons, an error code may be covered also by another, wider error code. For example, an error with code ``[method-assign]`` can be ignored by ``# type: ignore[assignment]``. Similar logic works for disabling error codes globally. If a given error code is a subcode of another one, it will be mentioned in the documentation for the narrower code. This hierarchy is not nested: there cannot be subcodes of other subcodes. Requiring error codes --------------------- It's possible to require error codes be specified in ``type: ignore`` comments. See :ref:`ignore-without-code` for more information. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/existing_code.rst0000644000175100017510000002326715112307767020077 0ustar00runnerrunner.. _existing-code: Using mypy with an existing codebase ==================================== This section explains how to get started using mypy with an existing, significant codebase that has little or no type annotations. If you are a beginner, you can skip this section. Start small ----------- If your codebase is large, pick a subset of your codebase (say, 5,000 to 50,000 lines) and get mypy to run successfully only on this subset at first, *before adding annotations*. This should be doable in a day or two. The sooner you get some form of mypy passing on your codebase, the sooner you benefit. You'll likely need to fix some mypy errors, either by inserting annotations requested by mypy or by adding ``# type: ignore`` comments to silence errors you don't want to fix now. We'll mention some tips for getting mypy passing on your codebase in various sections below. Run mypy consistently and prevent regressions --------------------------------------------- Make sure all developers on your codebase run mypy the same way. One way to ensure this is adding a small script with your mypy invocation to your codebase, or adding your mypy invocation to existing tools you use to run tests, like ``tox``. * Make sure everyone runs mypy with the same options. Checking a mypy :ref:`configuration file ` into your codebase is the easiest way to do this. * Make sure everyone type checks the same set of files. See :ref:`specifying-code-to-be-checked` for details. * Make sure everyone runs mypy with the same version of mypy, for instance by pinning mypy with the rest of your dev requirements. In particular, you'll want to make sure to run mypy as part of your Continuous Integration (CI) system as soon as possible. This will prevent new type errors from being introduced into your codebase. A simple CI script could look something like this: .. code-block:: text python3 -m pip install mypy==1.8 # Run your standardised mypy invocation, e.g. mypy my_project # This could also look like `scripts/run_mypy.sh`, `tox run -e mypy`, `make mypy`, etc Ignoring errors from certain modules ------------------------------------ By default mypy will follow imports in your code and try to check everything. This means even if you only pass in a few files to mypy, it may still process a large number of imported files. This could potentially result in lots of errors you don't want to deal with at the moment. One way to deal with this is to ignore errors in modules you aren't yet ready to type check. The :confval:`ignore_errors` option is useful for this, for instance, if you aren't yet ready to deal with errors from ``package_to_fix_later``: .. code-block:: text [mypy-package_to_fix_later.*] ignore_errors = True You could even invert this, by setting ``ignore_errors = True`` in your global config section and only enabling error reporting with ``ignore_errors = False`` for the set of modules you are ready to type check. The per-module configuration that mypy's configuration file allows can be extremely useful. Many configuration options can be enabled or disabled only for specific modules. In particular, you can also enable or disable various error codes on a per-module basis, see :ref:`error-codes`. Fixing errors related to imports -------------------------------- A common class of error you will encounter is errors from mypy about modules that it can't find, that don't have types, or don't have stub files: .. code-block:: text core/config.py:7: error: Cannot find implementation or library stub for module named 'frobnicate' core/model.py:9: error: Cannot find implementation or library stub for module named 'acme' ... Sometimes these can be fixed by installing the relevant packages or stub libraries in the environment you're running ``mypy`` in. See :ref:`fix-missing-imports` for a complete reference on these errors and the ways in which you can fix them. You'll likely find that you want to suppress all errors from importing a given module that doesn't have types. If you only import that module in one or two places, you can use ``# type: ignore`` comments. For example, here we ignore an error about a third-party module ``frobnicate`` that doesn't have stubs using ``# type: ignore``: .. code-block:: python import frobnicate # type: ignore ... frobnicate.initialize() # OK (but not checked) But if you import the module in many places, this becomes unwieldy. In this case, we recommend using a :ref:`configuration file `. For example, to disable errors about importing ``frobnicate`` and ``acme`` everywhere in your codebase, use a config like this: .. code-block:: text [mypy-frobnicate.*] ignore_missing_imports = True [mypy-acme.*] ignore_missing_imports = True If you get a large number of errors, you may want to ignore all errors about missing imports, for instance by setting :option:`--disable-error-code=import-untyped `. or setting :confval:`ignore_missing_imports` to true globally. This can hide errors later on, so we recommend avoiding this if possible. Finally, mypy allows fine-grained control over specific import following behaviour. It's very easy to silently shoot yourself in the foot when playing around with these, so this should be a last resort. For more details, look :ref:`here `. Prioritise annotating widely imported modules --------------------------------------------- Most projects have some widely imported modules, such as utilities or model classes. It's a good idea to annotate these pretty early on, since this allows code using these modules to be type checked more effectively. Mypy is designed to support gradual typing, i.e. letting you add annotations at your own pace, so it's okay to leave some of these modules unannotated. The more you annotate, the more useful mypy will be, but even a little annotation coverage is useful. Write annotations as you go --------------------------- Consider adding something like these in your code style conventions: 1. Developers should add annotations for any new code. 2. It's also encouraged to write annotations when you modify existing code. This way you'll gradually increase annotation coverage in your codebase without much effort. Automate annotation of legacy code ---------------------------------- There are tools for automatically adding draft annotations based on simple static analysis or on type profiles collected at runtime. Tools include :doc:`monkeytype:index`, `autotyping`_ and `PyAnnotate`_. A simple approach is to collect types from test runs. This may work well if your test coverage is good (and if your tests aren't very slow). Another approach is to enable type collection for a small, random fraction of production network requests. This clearly requires more care, as type collection could impact the reliability or the performance of your service. .. _getting-to-strict: Introduce stricter options -------------------------- Mypy is very configurable. Once you get started with static typing, you may want to explore the various strictness options mypy provides to catch more bugs. For example, you can ask mypy to require annotations for all functions in certain modules to avoid accidentally introducing code that won't be type checked using :confval:`disallow_untyped_defs`. Refer to :ref:`config-file` for the details. An excellent goal to aim for is to have your codebase pass when run against ``mypy --strict``. This basically ensures that you will never have a type related error without an explicit circumvention somewhere (such as a ``# type: ignore`` comment). The following config is equivalent to ``--strict`` (as of mypy 1.0): .. code-block:: text # Start off with these warn_unused_configs = True warn_redundant_casts = True warn_unused_ignores = True # Getting this passing should be easy strict_equality = True # Strongly recommend enabling this one as soon as you can check_untyped_defs = True # These shouldn't be too much additional work, but may be tricky to # get passing if you use a lot of untyped libraries disallow_subclassing_any = True disallow_untyped_decorators = True disallow_any_generics = True # These next few are various gradations of forcing use of type annotations disallow_untyped_calls = True disallow_incomplete_defs = True disallow_untyped_defs = True # This one isn't too hard to get passing, but return on investment is lower no_implicit_reexport = True # This one can be tricky to get passing if you use a lot of untyped libraries warn_return_any = True # This one is a catch-all flag for the rest of strict checks that are technically # correct but may not be practical extra_checks = True Note that you can also start with ``--strict`` and subtract, for instance: .. code-block:: text strict = True warn_return_any = False Remember that many of these options can be enabled on a per-module basis. For instance, you may want to enable ``disallow_untyped_defs`` for modules which you've completed annotations for, in order to prevent new code from being added without annotations. And if you want, it doesn't stop at ``--strict``. Mypy has additional checks that are not part of ``--strict`` that can be useful. See the complete :ref:`command-line` reference and :ref:`error-codes-optional`. Speed up mypy runs ------------------ You can use :ref:`mypy daemon ` to get much faster incremental mypy runs. The larger your project is, the more useful this will be. If your project has at least 100,000 lines of code or so, you may also want to set up :ref:`remote caching ` for further speedups. .. _PyAnnotate: https://github.com/dropbox/pyannotate .. _autotyping: https://github.com/JelleZijlstra/autotyping ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/extending_mypy.rst0000644000175100017510000002264015112307767020310 0ustar00runnerrunner.. _extending-mypy: Extending and integrating mypy ============================== .. _integrating-mypy: Integrating mypy into another Python application ************************************************ It is possible to integrate mypy into another Python 3 application by importing ``mypy.api`` and calling the ``run`` function with a parameter of type ``list[str]``, containing what normally would have been the command line arguments to mypy. Function ``run`` returns a ``tuple[str, str, int]``, namely ``(, , )``, in which ```` is what mypy normally writes to :py:data:`sys.stdout`, ```` is what mypy normally writes to :py:data:`sys.stderr` and ``exit_status`` is the exit status mypy normally returns to the operating system. A trivial example of using the api is the following .. code-block:: python import sys from mypy import api result = api.run(sys.argv[1:]) if result[0]: print('\nType checking report:\n') print(result[0]) # stdout if result[1]: print('\nError report:\n') print(result[1]) # stderr print('\nExit status:', result[2]) .. _extending-mypy-using-plugins: Extending mypy using plugins **************************** Python is a highly dynamic language and has extensive metaprogramming capabilities. Many popular libraries use these to create APIs that may be more flexible and/or natural for humans, but are hard to express using static types. Extending the :pep:`484` type system to accommodate all existing dynamic patterns is impractical and often just impossible. Mypy supports a plugin system that lets you customize the way mypy type checks code. This can be useful if you want to extend mypy so it can type check code that uses a library that is difficult to express using just :pep:`484` types. The plugin system is focused on improving mypy's understanding of *semantics* of third party frameworks. There is currently no way to define new first class kinds of types. .. note:: The plugin system is experimental and prone to change. If you want to write a mypy plugin, we recommend you start by contacting the mypy core developers on `gitter `_. In particular, there are no guarantees about backwards compatibility. Backwards incompatible changes may be made without a deprecation period, but we will announce them in `the plugin API changes announcement issue `_. Configuring mypy to use plugins ******************************* Plugins are Python files that can be specified in a mypy :ref:`config file ` using the :confval:`plugins` option and one of the two formats: relative or absolute path to the plugin file, or a module name (if the plugin is installed using ``pip install`` in the same virtual environment where mypy is running). The two formats can be mixed, for example: .. code-block:: ini [mypy] plugins = /one/plugin.py, other.plugin Mypy will try to import the plugins and will look for an entry point function named ``plugin``. If the plugin entry point function has a different name, it can be specified after colon: .. code-block:: ini [mypy] plugins = custom_plugin:custom_entry_point In the following sections we describe the basics of the plugin system with some examples. For more technical details, please read the docstrings in `mypy/plugin.py `_ in mypy source code. Also you can find good examples in the bundled plugins located in `mypy/plugins `_. High-level overview ******************* Every entry point function should accept a single string argument that is a full mypy version and return a subclass of ``mypy.plugin.Plugin``: .. code-block:: python from mypy.plugin import Plugin class CustomPlugin(Plugin): def get_type_analyze_hook(self, fullname: str): # see explanation below ... def plugin(version: str): # ignore version argument if the plugin works with all mypy versions. return CustomPlugin During different phases of analyzing the code (first in semantic analysis, and then in type checking) mypy calls plugin methods such as ``get_type_analyze_hook()`` on user plugins. This particular method, for example, can return a callback that mypy will use to analyze unbound types with the given full name. See the full plugin hook method list :ref:`below `. Mypy maintains a list of plugins it gets from the config file plus the default (built-in) plugin that is always enabled. Mypy calls a method once for each plugin in the list until one of the methods returns a non-``None`` value. This callback will be then used to customize the corresponding aspect of analyzing/checking the current abstract syntax tree node. The callback returned by the ``get_xxx`` method will be given a detailed current context and an API to create new nodes, new types, emit error messages, etc., and the result will be used for further processing. Plugin developers should ensure that their plugins work well in incremental and daemon modes. In particular, plugins should not hold global state due to caching of plugin hook results. .. _plugin_hooks: Current list of plugin hooks **************************** **get_type_analyze_hook()** customizes behaviour of the type analyzer. For example, :pep:`484` doesn't support defining variadic generic types: .. code-block:: python from lib import Vector a: Vector[int, int] b: Vector[int, int, int] When analyzing this code, mypy will call ``get_type_analyze_hook("lib.Vector")``, so the plugin can return some valid type for each variable. **get_function_hook()** is used to adjust the return type of a function call. This hook will be also called for instantiation of classes. This is a good choice if the return type is too complex to be expressed by regular python typing. **get_function_signature_hook()** is used to adjust the signature of a function. **get_method_hook()** is the same as ``get_function_hook()`` but for methods instead of module level functions. **get_method_signature_hook()** is used to adjust the signature of a method. This includes special Python methods except :py:meth:`~object.__init__` and :py:meth:`~object.__new__`. For example in this code: .. code-block:: python from ctypes import Array, c_int x: Array[c_int] x[0] = 42 mypy will call ``get_method_signature_hook("ctypes.Array.__setitem__")`` so that the plugin can mimic the :py:mod:`ctypes` auto-convert behavior. **get_attribute_hook()** overrides instance member field lookups and property access (not method calls). This hook is only called for fields which already exist on the class. *Exception:* if :py:meth:`__getattr__ ` or :py:meth:`__getattribute__ ` is a method on the class, the hook is called for all fields which do not refer to methods. **get_class_attribute_hook()** is similar to above, but for attributes on classes rather than instances. Unlike above, this does not have special casing for :py:meth:`__getattr__ ` or :py:meth:`__getattribute__ `. **get_class_decorator_hook()** can be used to update class definition for given class decorators. For example, you can add some attributes to the class to match runtime behaviour: .. code-block:: python from dataclasses import dataclass @dataclass # built-in plugin adds `__init__` method here class User: name: str user = User(name='example') # mypy can understand this using a plugin **get_metaclass_hook()** is similar to above, but for metaclasses. **get_base_class_hook()** is similar to above, but for base classes. **get_dynamic_class_hook()** can be used to allow dynamic class definitions in mypy. This plugin hook is called for every assignment to a simple name where right hand side is a function call: .. code-block:: python from lib import dynamic_class X = dynamic_class('X', []) For such definition, mypy will call ``get_dynamic_class_hook("lib.dynamic_class")``. The plugin should create the corresponding ``mypy.nodes.TypeInfo`` object, and place it into a relevant symbol table. (Instances of this class represent classes in mypy and hold essential information such as qualified name, method resolution order, etc.) **get_customize_class_mro_hook()** can be used to modify class MRO (for example insert some entries there) before the class body is analyzed. **get_additional_deps()** can be used to add new dependencies for a module. It is called before semantic analysis. For example, this can be used if a library has dependencies that are dynamically loaded based on configuration information. **report_config_data()** can be used if the plugin has some sort of per-module configuration that can affect typechecking. In that case, when the configuration for a module changes, we want to invalidate mypy's cache for that module so that it can be rechecked. This hook should be used to report to mypy any relevant configuration data, so that mypy knows to recheck the module if the configuration changes. The hooks should return data encodable as JSON. Useful tools ************ Mypy ships ``mypy.plugins.proper_plugin`` plugin which can be useful for plugin authors, since it finds missing ``get_proper_type()`` calls, which is a pretty common mistake. It is recommended to enable it as a part of your plugin's CI. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/faq.rst0000644000175100017510000002200615112307767016010 0ustar00runnerrunnerFrequently Asked Questions ========================== Why have both dynamic and static typing? **************************************** Dynamic typing can be flexible, powerful, convenient and easy. But it's not always the best approach; there are good reasons why many developers choose to use statically typed languages or static typing for Python. Here are some potential benefits of mypy-style static typing: - Static typing can make programs easier to understand and maintain. Type declarations can serve as machine-checked documentation. This is important as code is typically read much more often than modified, and this is especially important for large and complex programs. - Static typing can help you find bugs earlier and with less testing and debugging. Especially in large and complex projects this can be a major time-saver. - Static typing can help you find difficult-to-find bugs before your code goes into production. This can improve reliability and reduce the number of security issues. - Static typing makes it practical to build very useful development tools that can improve programming productivity or software quality, including IDEs with precise and reliable code completion, static analysis tools, etc. - You can get the benefits of both dynamic and static typing in a single language. Dynamic typing can be perfect for a small project or for writing the UI of your program, for example. As your program grows, you can adapt tricky application logic to static typing to help maintenance. See also the `front page `_ of the mypy web site. Would my project benefit from static typing? ******************************************** For many projects dynamic typing is perfectly fine (we think that Python is a great language). But sometimes your projects demand bigger guns, and that's when mypy may come in handy. If some of these ring true for your projects, mypy (and static typing) may be useful: - Your project is large or complex. - Your codebase must be maintained for a long time. - Multiple developers are working on the same code. - Running tests takes a lot of time or work (type checking helps you find errors quickly early in development, reducing the number of testing iterations). - Some project members (devs or management) don't like dynamic typing, but others prefer dynamic typing and Python syntax. Mypy could be a solution that everybody finds easy to accept. - You want to future-proof your project even if currently none of the above really apply. The earlier you start, the easier it will be to adopt static typing. Can I use mypy to type check my existing Python code? ***************************************************** Mypy supports most Python features and idioms, and many large Python projects are using mypy successfully. Code that uses complex introspection or metaprogramming may be impractical to type check, but it should still be possible to use static typing in other parts of a codebase that are less dynamic. Will static typing make my programs run faster? *********************************************** Mypy only does static type checking and it does not improve performance. It has a minimal performance impact. In the future, there could be other tools that can compile statically typed mypy code to C modules or to efficient JVM bytecode, for example, but this is outside the scope of the mypy project. Is mypy free? ************* Yes. Mypy is free software, and it can also be used for commercial and proprietary projects. Mypy is available under the MIT license. Can I use duck typing with mypy? ******************************** Mypy provides support for both `nominal subtyping `_ and `structural subtyping `_. Structural subtyping can be thought of as "static duck typing". Some argue that structural subtyping is better suited for languages with duck typing such as Python. Mypy however primarily uses nominal subtyping, leaving structural subtyping mostly opt-in (except for built-in protocols such as :py:class:`~collections.abc.Iterable` that always support structural subtyping). Here are some reasons why: 1. It is easy to generate short and informative error messages when using a nominal type system. This is especially important when using type inference. 2. Python provides built-in support for nominal :py:func:`isinstance` tests and they are widely used in programs. Only limited support for structural :py:func:`isinstance` is available, and it's less type safe than nominal type tests. 3. Many programmers are already familiar with static, nominal subtyping and it has been successfully used in languages such as Java, C++ and C#. Fewer languages use structural subtyping. However, structural subtyping can also be useful. For example, a "public API" may be more flexible if it is typed with protocols. Also, using protocol types removes the necessity to explicitly declare implementations of ABCs. As a rule of thumb, we recommend using nominal classes where possible, and protocols where necessary. For more details about protocol types and structural subtyping see :ref:`protocol-types` and :pep:`544`. I like Python and I have no need for static typing ************************************************** The aim of mypy is not to convince everybody to write statically typed Python -- static typing is entirely optional, now and in the future. The goal is to give more options for Python programmers, to make Python a more competitive alternative to other statically typed languages in large projects, to improve programmer productivity, and to improve software quality. How are mypy programs different from normal Python? *************************************************** Since you use a vanilla Python implementation to run mypy programs, mypy programs are also Python programs. The type checker may give warnings for some valid Python code, but the code is still always runnable. Also, a few Python features are still not supported by mypy, but this is gradually improving. The obvious difference is the availability of static type checking. The section :ref:`common_issues` mentions some modifications to Python code that may be required to make code type check without errors. Also, your code must make defined attributes explicit. Mypy supports modular, efficient type checking, and this seems to rule out type checking some language features, such as arbitrary monkey patching of methods. How is mypy different from Cython? ********************************** :doc:`Cython ` is a variant of Python that supports compilation to CPython C modules. It can give major speedups to certain classes of programs compared to CPython, and it provides static typing (though this is different from mypy). Mypy differs in the following aspects, among others: - Cython is much more focused on performance than mypy. Mypy is only about static type checking, and increasing performance is not a direct goal. - The mypy syntax is arguably simpler and more "Pythonic" (no cdef/cpdef, etc.) for statically typed code. - The mypy syntax is compatible with Python. Mypy programs are normal Python programs that can be run using any Python implementation. Cython has many incompatible extensions to Python syntax, and Cython programs generally cannot be run without first compiling them to CPython extension modules via C. Cython also has a pure Python mode, but it seems to support only a subset of Cython functionality, and the syntax is quite verbose. - Mypy has a different set of type system features. For example, mypy has genericity (parametric polymorphism), function types and bidirectional type inference, which are not supported by Cython. (Cython has fused types that are different but related to mypy generics. Mypy also has a similar feature as an extension of generics.) - The mypy type checker knows about the static types of many Python stdlib modules and can effectively type check code that uses them. - Cython supports accessing C functions directly and many features are defined in terms of translating them to C or C++. Mypy just uses Python semantics, and mypy does not deal with accessing C library functionality. Does it run on PyPy? ********************* Somewhat. With PyPy 3.8, mypy is at least able to type check itself. With older versions of PyPy, mypy relies on `typed-ast `_, which uses several APIs that PyPy does not support (including some internal CPython APIs). Mypy is a cool project. Can I help? *********************************** Any help is much appreciated! `Contact `_ the developers if you would like to contribute. Any help related to development, design, publicity, documentation, testing, web site maintenance, financing, etc. can be helpful. You can learn a lot by contributing, and anybody can help, even beginners! However, some knowledge of compilers and/or type systems is essential if you want to work on mypy internals. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/final_attrs.rst0000644000175100017510000001557615112307767017565 0ustar00runnerrunner.. _final_attrs: Final names, methods and classes ================================ This section introduces these related features: 1. *Final names* are variables or attributes that should not be reassigned after initialization. They are useful for declaring constants. 2. *Final methods* should not be overridden in a subclass. 3. *Final classes* should not be subclassed. All of these are only enforced by mypy, and only in annotated code. There is no runtime enforcement by the Python runtime. .. note:: The examples in this page import ``Final`` and ``final`` from the ``typing`` module. These types were added to ``typing`` in Python 3.8, but are also available for use in Python 3.4 - 3.7 via the ``typing_extensions`` package. Final names ----------- You can use the ``typing.Final`` qualifier to indicate that a name or attribute should not be reassigned, redefined, or overridden. This is often useful for module and class-level constants to prevent unintended modification. Mypy will prevent further assignments to final names in type-checked code: .. code-block:: python from typing import Final RATE: Final = 3_000 class Base: DEFAULT_ID: Final = 0 RATE = 300 # Error: can't assign to final attribute Base.DEFAULT_ID = 1 # Error: can't override a final attribute Another use case for final attributes is to protect certain attributes from being overridden in a subclass: .. code-block:: python from typing import Final class Window: BORDER_WIDTH: Final = 2.5 ... class ListView(Window): BORDER_WIDTH = 3 # Error: can't override a final attribute You can use :py:class:`@property ` to make an attribute read-only, but unlike ``Final``, it doesn't work with module attributes, and it doesn't prevent overriding in subclasses. Syntax variants *************** You can use ``Final`` in one of these forms: * You can provide an explicit type using the syntax ``Final[]``. Example: .. code-block:: python ID: Final[int] = 1 Here, mypy will infer type ``int`` for ``ID``. * You can omit the type: .. code-block:: python ID: Final = 1 Here, mypy will infer type ``Literal[1]`` for ``ID``. Note that unlike for generic classes, this is *not* the same as ``Final[Any]``. * In class bodies and stub files, you can omit the right-hand side and just write ``ID: Final[int]``. * Finally, you can write ``self.id: Final = 1`` (also optionally with a type in square brackets). This is allowed *only* in :py:meth:`__init__ ` methods so the final instance attribute is assigned only once when an instance is created. Details of using ``Final`` ************************** These are the two main rules for defining a final name: * There can be *at most one* final declaration per module or class for a given attribute. There can't be separate class-level and instance-level constants with the same name. * There must be *exactly one* assignment to a final name. A final attribute declared in a class body without an initializer must be initialized in the :py:meth:`__init__ ` method (you can skip the initializer in stub files): .. code-block:: python class ImmutablePoint: x: Final[int] y: Final[int] # Error: final attribute without an initializer def __init__(self) -> None: self.x = 1 # Good ``Final`` can only be used as the outermost type in assignments or variable annotations. Using it in any other position is an error. In particular, ``Final`` can't be used in annotations for function arguments: .. code-block:: python x: list[Final[int]] = [] # Error! def fun(x: Final[list[int]]) -> None: # Error! ... ``Final`` and :py:data:`~typing.ClassVar` should not be used together. Mypy will infer the scope of a final declaration automatically depending on whether it was initialized in the class body or in :py:meth:`__init__ `. A final attribute can't be overridden by a subclass (even with another explicit final declaration). Note, however, that a final attribute can override a read-only property: .. code-block:: python class Base: @property def ID(self) -> int: ... class Derived(Base): ID: Final = 1 # OK Declaring a name as final only guarantees that the name will not be re-bound to another value. It doesn't make the value immutable. You can use immutable ABCs and containers to prevent mutating such values: .. code-block:: python x: Final = ['a', 'b'] x.append('c') # OK y: Final[Sequence[str]] = ['a', 'b'] y.append('x') # Error: Sequence is immutable z: Final = ('a', 'b') # Also an option Final methods ------------- Like with attributes, sometimes it is useful to protect a method from overriding. You can use the ``typing.final`` decorator for this purpose: .. code-block:: python from typing import final class Base: @final def common_name(self) -> None: ... class Derived(Base): def common_name(self) -> None: # Error: cannot override a final method ... This ``@final`` decorator can be used with instance methods, class methods, static methods, and properties. For overloaded methods, you should add ``@final`` on the implementation to make it final (or on the first overload in stubs): .. code-block:: python from typing import final, overload class Base: @overload def method(self) -> None: ... @overload def method(self, arg: int) -> int: ... @final def method(self, x=None): ... Final classes ------------- You can apply the ``typing.final`` decorator to a class to indicate to mypy that it should not be subclassed: .. code-block:: python from typing import final @final class Leaf: ... class MyLeaf(Leaf): # Error: Leaf can't be subclassed ... The decorator acts as a declaration for mypy (and as documentation for humans), but it doesn't actually prevent subclassing at runtime. Here are some situations where using a final class may be useful: * A class wasn't designed to be subclassed. Perhaps subclassing would not work as expected, or subclassing would be error-prone. * Subclassing would make code harder to understand or maintain. For example, you may want to prevent unnecessarily tight coupling between base classes and subclasses. * You want to retain the freedom to arbitrarily change the class implementation in the future, and these changes might break subclasses. An abstract class that defines at least one abstract method or property and has ``@final`` decorator will generate an error from mypy since those attributes could never be implemented. .. code-block:: python from abc import ABCMeta, abstractmethod from typing import final @final class A(metaclass=ABCMeta): # error: Final class A has abstract attributes "f" @abstractmethod def f(self, x: int) -> None: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/generics.rst0000644000175100017510000013170215112307767017044 0ustar00runnerrunnerGenerics ======== This section explains how you can define your own generic classes that take one or more type arguments, similar to built-in types such as ``list[T]``. User-defined generics are a moderately advanced feature and you can get far without ever using them -- feel free to skip this section and come back later. .. _generic-classes: Defining generic classes ************************ The built-in collection classes are generic classes. Generic types accept one or more type arguments within ``[...]``, which can be arbitrary types. For example, the type ``dict[int, str]`` has the type arguments ``int`` and ``str``, and ``list[int]`` has the type argument ``int``. Programs can also define new generic classes. Here is a very simple generic class that represents a stack (using the syntax introduced in Python 3.12): .. code-block:: python class Stack[T]: def __init__(self) -> None: # Create an empty list with items of type T self.items: list[T] = [] def push(self, item: T) -> None: self.items.append(item) def pop(self) -> T: return self.items.pop() def empty(self) -> bool: return not self.items There are two syntax variants for defining generic classes in Python. Python 3.12 introduced a `new dedicated syntax `_ for defining generic classes (and also functions and type aliases, which we will discuss later). The above example used the new syntax. Most examples are given using both the new and the old (or legacy) syntax variants. Unless mentioned otherwise, they work the same -- but the new syntax is more readable and more convenient. Here is the same example using the old syntax (required for Python 3.11 and earlier, but also supported on newer Python versions): .. code-block:: python from typing import TypeVar, Generic T = TypeVar('T') # Define type variable "T" class Stack(Generic[T]): def __init__(self) -> None: # Create an empty list with items of type T self.items: list[T] = [] def push(self, item: T) -> None: self.items.append(item) def pop(self) -> T: return self.items.pop() def empty(self) -> bool: return not self.items .. note:: There are currently no plans to deprecate the legacy syntax. You can freely mix code using the new and old syntax variants, even within a single file (but *not* within a single class). The ``Stack`` class can be used to represent a stack of any type: ``Stack[int]``, ``Stack[tuple[int, str]]``, etc. You can think of ``Stack[int]`` as referring to the definition of ``Stack`` above, but with all instances of ``T`` replaced with ``int``. Using ``Stack`` is similar to built-in container types: .. code-block:: python # Construct an empty Stack[int] instance stack = Stack[int]() stack.push(2) stack.pop() # error: Argument 1 to "push" of "Stack" has incompatible type "str"; expected "int" stack.push('x') stack2: Stack[str] = Stack() stack2.push('x') Construction of instances of generic types is type checked (Python 3.12 syntax): .. code-block:: python class Box[T]: def __init__(self, content: T) -> None: self.content = content Box(1) # OK, inferred type is Box[int] Box[int](1) # Also OK # error: Argument 1 to "Box" has incompatible type "str"; expected "int" Box[int]('some string') Here is the definition of ``Box`` using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from typing import TypeVar, Generic T = TypeVar('T') class Box(Generic[T]): def __init__(self, content: T) -> None: self.content = content .. note:: Before moving on, let's clarify some terminology. The name ``T`` in ``class Stack[T]`` or ``class Stack(Generic[T])`` declares a *type parameter* ``T`` (of class ``Stack``). ``T`` is also called a *type variable*, especially in a type annotation, such as in the signature of ``push`` above. When the type ``Stack[...]`` is used in a type annotation, the type within square brackets is called a *type argument*. This is similar to the distinction between function parameters and arguments. .. _generic-subclasses: Defining subclasses of generic classes ************************************** User-defined generic classes and generic classes defined in :py:mod:`typing` can be used as a base class for another class (generic or non-generic). For example (Python 3.12 syntax): .. code-block:: python from typing import Mapping, Iterator # This is a generic subclass of Mapping class MyMap[KT, VT](Mapping[KT, VT]): def __getitem__(self, k: KT) -> VT: ... def __iter__(self) -> Iterator[KT]: ... def __len__(self) -> int: ... items: MyMap[str, int] # OK # This is a non-generic subclass of dict class StrDict(dict[str, str]): def __str__(self) -> str: return f'StrDict({super().__str__()})' data: StrDict[int, int] # Error! StrDict is not generic data2: StrDict # OK # This is a user-defined generic class class Receiver[T]: def accept(self, value: T) -> None: ... # This is a generic subclass of Receiver class AdvancedReceiver[T](Receiver[T]): ... Here is the above example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from typing import Generic, TypeVar, Mapping, Iterator KT = TypeVar('KT') VT = TypeVar('VT') # This is a generic subclass of Mapping class MyMap(Mapping[KT, VT]): def __getitem__(self, k: KT) -> VT: ... def __iter__(self) -> Iterator[KT]: ... def __len__(self) -> int: ... items: MyMap[str, int] # OK # This is a non-generic subclass of dict class StrDict(dict[str, str]): def __str__(self) -> str: return f'StrDict({super().__str__()})' data: StrDict[int, int] # Error! StrDict is not generic data2: StrDict # OK # This is a user-defined generic class class Receiver(Generic[T]): def accept(self, value: T) -> None: ... # This is a generic subclass of Receiver class AdvancedReceiver(Receiver[T]): ... .. note:: You have to add an explicit :py:class:`~collections.abc.Mapping` base class if you want mypy to consider a user-defined class as a mapping (and :py:class:`~collections.abc.Sequence` for sequences, etc.). This is because mypy doesn't use *structural subtyping* for these ABCs, unlike simpler protocols like :py:class:`~collections.abc.Iterable`, which use :ref:`structural subtyping `. When using the legacy syntax, :py:class:`Generic ` can be omitted from bases if there are other base classes that include type variables, such as ``Mapping[KT, VT]`` in the above example. If you include ``Generic[...]`` in bases, then it should list all type variables present in other bases (or more, if needed). The order of type parameters is defined by the following rules: * If ``Generic[...]`` is present, then the order of parameters is always determined by their order in ``Generic[...]``. * If there are no ``Generic[...]`` in bases, then all type parameters are collected in the lexicographic order (i.e. by first appearance). Example: .. code-block:: python from typing import Generic, TypeVar, Any T = TypeVar('T') S = TypeVar('S') U = TypeVar('U') class One(Generic[T]): ... class Another(Generic[T]): ... class First(One[T], Another[S]): ... class Second(One[T], Another[S], Generic[S, U, T]): ... x: First[int, str] # Here T is bound to int, S is bound to str y: Second[int, str, Any] # Here T is Any, S is int, and U is str When using the Python 3.12 syntax, all type parameters must always be explicitly defined immediately after the class name within ``[...]``, and the ``Generic[...]`` base class is never used. .. _generic-functions: Generic functions ***************** Functions can also be generic, i.e. they can have type parameters (Python 3.12 syntax): .. code-block:: python from collections.abc import Sequence # A generic function! def first[T](seq: Sequence[T]) -> T: return seq[0] Here is the same example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from typing import TypeVar, Sequence T = TypeVar('T') # A generic function! def first(seq: Sequence[T]) -> T: return seq[0] As with generic classes, the type parameter ``T`` can be replaced with any type. That means ``first`` can be passed an argument with any sequence type, and the return type is derived from the sequence item type. Example: .. code-block:: python reveal_type(first([1, 2, 3])) # Revealed type is "builtins.int" reveal_type(first(('a', 'b'))) # Revealed type is "builtins.str" When using the legacy syntax, a single definition of a type variable (such as ``T`` above) can be used in multiple generic functions or classes. In this example we use the same type variable in two generic functions to declare type parameters: .. code-block:: python from typing import TypeVar, Sequence T = TypeVar('T') # Define type variable def first(seq: Sequence[T]) -> T: return seq[0] def last(seq: Sequence[T]) -> T: return seq[-1] Since the Python 3.12 syntax is more concise, it doesn't need (or have) an equivalent way of sharing type parameter definitions. A variable cannot have a type variable in its type unless the type variable is bound in a containing generic class or function. When calling a generic function, you can't explicitly pass the values of type parameters as type arguments. The values of type parameters are always inferred by mypy. This is not valid: .. code-block:: python first[int]([1, 2]) # Error: can't use [...] with generic function If you really need this, you can define a generic class with a ``__call__`` method. .. _type-variable-upper-bound: Type variables with upper bounds ******************************** A type variable can also be restricted to having values that are subtypes of a specific type. This type is called the upper bound of the type variable, and it is specified using ``T: `` when using the Python 3.12 syntax. In the definition of a generic function or a generic class that uses such a type variable ``T``, the type represented by ``T`` is assumed to be a subtype of its upper bound, so you can use methods of the upper bound on values of type ``T`` (Python 3.12 syntax): .. code-block:: python from typing import SupportsAbs def max_by_abs[T: SupportsAbs[float]](*xs: T) -> T: # We can use abs(), because T is a subtype of SupportsAbs[float]. return max(xs, key=abs) An upper bound can also be specified with the ``bound=...`` keyword argument to :py:class:`~typing.TypeVar`. Here is the example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from typing import TypeVar, SupportsAbs T = TypeVar('T', bound=SupportsAbs[float]) def max_by_abs(*xs: T) -> T: return max(xs, key=abs) In a call to such a function, the type ``T`` must be replaced by a type that is a subtype of its upper bound. Continuing the example above: .. code-block:: python max_by_abs(-3.5, 2) # Okay, has type 'float' max_by_abs(5+6j, 7) # Okay, has type 'complex' max_by_abs('a', 'b') # Error: 'str' is not a subtype of SupportsAbs[float] Type parameters of generic classes may also have upper bounds, which restrict the valid values for the type parameter in the same way. .. _generic-methods-and-generic-self: Generic methods and generic self ******************************** You can also define generic methods. In particular, the ``self`` parameter may also be generic, allowing a method to return the most precise type known at the point of access. In this way, for example, you can type check a chain of setter methods (Python 3.12 syntax): .. code-block:: python class Shape: def set_scale[T: Shape](self: T, scale: float) -> T: self.scale = scale return self class Circle(Shape): def set_radius(self, r: float) -> 'Circle': self.radius = r return self class Square(Shape): def set_width(self, w: float) -> 'Square': self.width = w return self circle: Circle = Circle().set_scale(0.5).set_radius(2.7) square: Square = Square().set_scale(0.5).set_width(3.2) Without using generic ``self``, the last two lines could not be type checked properly, since the return type of ``set_scale`` would be ``Shape``, which doesn't define ``set_radius`` or ``set_width``. When using the legacy syntax, just use a type variable in the method signature that is different from class type parameters (if any are defined). Here is the above example using the legacy syntax (3.11 and earlier): .. code-block:: python from typing import TypeVar T = TypeVar('T', bound='Shape') class Shape: def set_scale(self: T, scale: float) -> T: self.scale = scale return self class Circle(Shape): def set_radius(self, r: float) -> 'Circle': self.radius = r return self class Square(Shape): def set_width(self, w: float) -> 'Square': self.width = w return self circle: Circle = Circle().set_scale(0.5).set_radius(2.7) square: Square = Square().set_scale(0.5).set_width(3.2) Other uses include factory methods, such as copy and deserialization methods. For class methods, you can also define generic ``cls``, using ``type[T]`` or :py:class:`Type[T] ` (Python 3.12 syntax): .. code-block:: python class Friend: other: "Friend | None" = None @classmethod def make_pair[T: Friend](cls: type[T]) -> tuple[T, T]: a, b = cls(), cls() a.other = b b.other = a return a, b class SuperFriend(Friend): pass a, b = SuperFriend.make_pair() Here is the same example using the legacy syntax (3.11 and earlier): .. code-block:: python from typing import TypeVar T = TypeVar('T', bound='Friend') class Friend: other: "Friend | None" = None @classmethod def make_pair(cls: type[T]) -> tuple[T, T]: a, b = cls(), cls() a.other = b b.other = a return a, b class SuperFriend(Friend): pass a, b = SuperFriend.make_pair() Note that when overriding a method with generic ``self``, you must either return a generic ``self`` too, or return an instance of the current class. In the latter case, you must implement this method in all future subclasses. Note also that mypy cannot always verify that the implementation of a copy or a deserialization method returns the actual type of self. Therefore you may need to silence mypy inside these methods (but not at the call site), possibly by making use of the ``Any`` type or a ``# type: ignore`` comment. Mypy lets you use generic self types in certain unsafe ways in order to support common idioms. For example, using a generic self type in an argument type is accepted even though it's unsafe (Python 3.12 syntax): .. code-block:: python class Base: def compare[T: Base](self: T, other: T) -> bool: return False class Sub(Base): def __init__(self, x: int) -> None: self.x = x # This is unsafe (see below) but allowed because it's # a common pattern and rarely causes issues in practice. def compare(self, other: 'Sub') -> bool: return self.x > other.x b: Base = Sub(42) b.compare(Base()) # Runtime error here: 'Base' object has no attribute 'x' For some advanced uses of self types, see :ref:`additional examples `. Automatic self types using typing.Self ************************************** Since the patterns described above are quite common, mypy supports a simpler syntax, introduced in :pep:`673`, to make them easier to use. Instead of introducing a type parameter and using an explicit annotation for ``self``, you can import the special type ``typing.Self`` that is automatically transformed into a method-level type parameter with the current class as the upper bound, and you don't need an annotation for ``self`` (or ``cls`` in class methods). The example from the previous section can be made simpler by using ``Self``: .. code-block:: python from typing import Self class Friend: other: Self | None = None @classmethod def make_pair(cls) -> tuple[Self, Self]: a, b = cls(), cls() a.other = b b.other = a return a, b class SuperFriend(Friend): pass a, b = SuperFriend.make_pair() This is more compact than using explicit type parameters. Also, you can use ``Self`` in attribute annotations in addition to methods. .. note:: To use this feature on Python versions earlier than 3.11, you will need to import ``Self`` from ``typing_extensions`` (version 4.0 or newer). .. _variance-of-generics: Variance of generic types ************************* There are three main kinds of generic types with respect to subtype relations between them: invariant, covariant, and contravariant. Assuming that we have a pair of types ``A`` and ``B``, and ``B`` is a subtype of ``A``, these are defined as follows: * A generic class ``MyCovGen[T]`` is called covariant in type variable ``T`` if ``MyCovGen[B]`` is always a subtype of ``MyCovGen[A]``. * A generic class ``MyContraGen[T]`` is called contravariant in type variable ``T`` if ``MyContraGen[A]`` is always a subtype of ``MyContraGen[B]``. * A generic class ``MyInvGen[T]`` is called invariant in ``T`` if neither of the above is true. Let us illustrate this by few simple examples: .. code-block:: python # We'll use these classes in the examples below class Shape: ... class Triangle(Shape): ... class Square(Shape): ... * Most immutable container types, such as :py:class:`~collections.abc.Sequence` and :py:class:`~frozenset` are covariant. Union types are also covariant in all union items: ``Triangle | int`` is a subtype of ``Shape | int``. .. code-block:: python def count_lines(shapes: Sequence[Shape]) -> int: return sum(shape.num_sides for shape in shapes) triangles: Sequence[Triangle] count_lines(triangles) # OK def foo(triangle: Triangle, num: int) -> None: shape_or_number: Union[Shape, int] # a Triangle is a Shape, and a Shape is a valid Union[Shape, int] shape_or_number = triangle Covariance should feel relatively intuitive, but contravariance and invariance can be harder to reason about. * :py:class:`~collections.abc.Callable` is an example of type that behaves contravariant in types of arguments. That is, ``Callable[[Shape], int]`` is a subtype of ``Callable[[Triangle], int]``, despite ``Shape`` being a supertype of ``Triangle``. To understand this, consider: .. code-block:: python def cost_of_paint_required( triangle: Triangle, area_calculator: Callable[[Triangle], float] ) -> float: return area_calculator(triangle) * DOLLAR_PER_SQ_FT # This straightforwardly works def area_of_triangle(triangle: Triangle) -> float: ... cost_of_paint_required(triangle, area_of_triangle) # OK # But this works as well! def area_of_any_shape(shape: Shape) -> float: ... cost_of_paint_required(triangle, area_of_any_shape) # OK ``cost_of_paint_required`` needs a callable that can calculate the area of a triangle. If we give it a callable that can calculate the area of an arbitrary shape (not just triangles), everything still works. * ``list`` is an invariant generic type. Naively, one would think that it is covariant, like :py:class:`~collections.abc.Sequence` above, but consider this code: .. code-block:: python class Circle(Shape): # The rotate method is only defined on Circle, not on Shape def rotate(self): ... def add_one(things: list[Shape]) -> None: things.append(Shape()) my_circles: list[Circle] = [] add_one(my_circles) # This may appear safe, but... my_circles[0].rotate() # ...this will fail, since my_circles[0] is now a Shape, not a Circle Another example of invariant type is ``dict``. Most mutable containers are invariant. When using the Python 3.12 syntax for generics, mypy will automatically infer the most flexible variance for each class type variable. Here ``Box`` will be inferred as covariant: .. code-block:: python class Box[T]: # this type is implicitly covariant def __init__(self, content: T) -> None: self._content = content def get_content(self) -> T: return self._content def look_into(box: Box[Shape]): ... my_box = Box(Square()) look_into(my_box) # OK, but mypy would complain here for an invariant type Here the underscore prefix for ``_content`` is significant. Without an underscore prefix, the class would be invariant, as the attribute would be understood as a public, mutable attribute (a single underscore prefix has no special significance for mypy in most other contexts). By declaring the attribute as ``Final``, the class could still be made covariant: .. code-block:: python from typing import Final class Box[T]: # this type is implicitly covariant def __init__(self, content: T) -> None: self.content: Final = content def get_content(self) -> T: return self.content When using the legacy syntax, mypy assumes that all user-defined generics are invariant by default. To declare a given generic class as covariant or contravariant, use type variables defined with special keyword arguments ``covariant`` or ``contravariant``. For example (Python 3.11 or earlier): .. code-block:: python from typing import Generic, TypeVar T_co = TypeVar('T_co', covariant=True) class Box(Generic[T_co]): # this type is declared covariant def __init__(self, content: T_co) -> None: self._content = content def get_content(self) -> T_co: return self._content def look_into(box: Box[Shape]): ... my_box = Box(Square()) look_into(my_box) # OK, but mypy would complain here for an invariant type .. _type-variable-value-restriction: Type variables with value restriction ************************************* By default, a type variable can be replaced with any type -- or any type that is a subtype of the upper bound, which defaults to ``object``. However, sometimes it's useful to have a type variable that can only have some specific types as its value. A typical example is a type variable that can only have values ``str`` and ``bytes``. This lets us define a function that can concatenate two strings or bytes objects, but it can't be called with other argument types (Python 3.12 syntax): .. code-block:: python def concat[S: (str, bytes)](x: S, y: S) -> S: return x + y concat('a', 'b') # Okay concat(b'a', b'b') # Okay concat(1, 2) # Error! The same thing is also possibly using the legacy syntax (Python 3.11 or earlier): .. code-block:: python from typing import TypeVar AnyStr = TypeVar('AnyStr', str, bytes) def concat(x: AnyStr, y: AnyStr) -> AnyStr: return x + y No matter which syntax you use, such a type variable is called a type variable with a value restriction. Importantly, this is different from a union type, since combinations of ``str`` and ``bytes`` are not accepted: .. code-block:: python concat('string', b'bytes') # Error! In this case, this is exactly what we want, since it's not possible to concatenate a string and a bytes object! If we tried to use a union type, the type checker would complain about this possibility: .. code-block:: python def union_concat(x: str | bytes, y: str | bytes) -> str | bytes: return x + y # Error: can't concatenate str and bytes Another interesting special case is calling ``concat()`` with a subtype of ``str``: .. code-block:: python class S(str): pass ss = concat(S('foo'), S('bar')) reveal_type(ss) # Revealed type is "builtins.str" You may expect that the type of ``ss`` is ``S``, but the type is actually ``str``: a subtype gets promoted to one of the valid values for the type variable, which in this case is ``str``. This is thus subtly different from using ``str | bytes`` as an upper bound, where the return type would be ``S`` (see :ref:`type-variable-upper-bound`). Using a value restriction is correct for ``concat``, since ``concat`` actually returns a ``str`` instance in the above example: .. code-block:: python >>> print(type(ss)) You can also use type variables with a restricted set of possible values when defining a generic class. For example, the type :py:class:`Pattern[S] ` is used for the return value of :py:func:`re.compile`, where ``S`` can be either ``str`` or ``bytes``. Regular expressions can be based on a string or a bytes pattern. A type variable may not have both a value restriction and an upper bound. Note that you may come across :py:data:`~typing.AnyStr` imported from :py:mod:`typing`. This feature is now deprecated, but it means the same as our definition of ``AnyStr`` above. .. _declaring-decorators: Declaring decorators ******************** Decorators are typically functions that take a function as an argument and return another function. Describing this behaviour in terms of types can be a little tricky; we'll show how you can use type variables and a special kind of type variable called a *parameter specification* to do so. Suppose we have the following decorator, not type annotated yet, that preserves the original function's signature and merely prints the decorated function's name: .. code-block:: python def printing_decorator(func): def wrapper(*args, **kwds): print("Calling", func) return func(*args, **kwds) return wrapper We can use it to decorate function ``add_forty_two``: .. code-block:: python # A decorated function. @printing_decorator def add_forty_two(value: int) -> int: return value + 42 a = add_forty_two(3) Since ``printing_decorator`` is not type-annotated, the following won't get type checked: .. code-block:: python reveal_type(a) # Revealed type is "Any" add_forty_two('foo') # No type checker error :( This is a sorry state of affairs! If you run with ``--strict``, mypy will even alert you to this fact: ``Untyped decorator makes function "add_forty_two" untyped`` Note that class decorators are handled differently than function decorators in mypy: decorating a class does not erase its type, even if the decorator has incomplete type annotations. Here's how one could annotate the decorator (Python 3.12 syntax): .. code-block:: python from collections.abc import Callable from typing import Any, cast # A decorator that preserves the signature. def printing_decorator[F: Callable[..., Any]](func: F) -> F: def wrapper(*args, **kwds): print("Calling", func) return func(*args, **kwds) return cast(F, wrapper) @printing_decorator def add_forty_two(value: int) -> int: return value + 42 a = add_forty_two(3) reveal_type(a) # Revealed type is "builtins.int" add_forty_two('x') # Argument 1 to "add_forty_two" has incompatible type "str"; expected "int" Here is the example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from collections.abc import Callable from typing import Any, TypeVar, cast F = TypeVar('F', bound=Callable[..., Any]) # A decorator that preserves the signature. def printing_decorator(func: F) -> F: def wrapper(*args, **kwds): print("Calling", func) return func(*args, **kwds) return cast(F, wrapper) @printing_decorator def add_forty_two(value: int) -> int: return value + 42 a = add_forty_two(3) reveal_type(a) # Revealed type is "builtins.int" add_forty_two('x') # Argument 1 to "add_forty_two" has incompatible type "str"; expected "int" This still has some shortcomings. First, we need to use the unsafe :py:func:`~typing.cast` to convince mypy that ``wrapper()`` has the same signature as ``func`` (see :ref:`casts `). Second, the ``wrapper()`` function is not tightly type checked, although wrapper functions are typically small enough that this is not a big problem. This is also the reason for the :py:func:`~typing.cast` call in the ``return`` statement in ``printing_decorator()``. However, we can use a parameter specification, introduced using ``**P``, for a more faithful type annotation (Python 3.12 syntax): .. code-block:: python from collections.abc import Callable def printing_decorator[**P, T](func: Callable[P, T]) -> Callable[P, T]: def wrapper(*args: P.args, **kwds: P.kwargs) -> T: print("Calling", func) return func(*args, **kwds) return wrapper The same is possible using the legacy syntax with :py:class:`~typing.ParamSpec` (Python 3.11 and earlier): .. code-block:: python from collections.abc import Callable from typing import TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') T = TypeVar('T') def printing_decorator(func: Callable[P, T]) -> Callable[P, T]: def wrapper(*args: P.args, **kwds: P.kwargs) -> T: print("Calling", func) return func(*args, **kwds) return wrapper Parameter specifications also allow you to describe decorators that alter the signature of the input function (Python 3.12 syntax): .. code-block:: python from collections.abc import Callable # We reuse 'P' in the return type, but replace 'T' with 'str' def stringify[**P, T](func: Callable[P, T]) -> Callable[P, str]: def wrapper(*args: P.args, **kwds: P.kwargs) -> str: return str(func(*args, **kwds)) return wrapper @stringify def add_forty_two(value: int) -> int: return value + 42 a = add_forty_two(3) reveal_type(a) # Revealed type is "builtins.str" add_forty_two('x') # error: Argument 1 to "add_forty_two" has incompatible type "str"; expected "int" Here is the above example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from collections.abc import Callable from typing import TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') T = TypeVar('T') # We reuse 'P' in the return type, but replace 'T' with 'str' def stringify(func: Callable[P, T]) -> Callable[P, str]: def wrapper(*args: P.args, **kwds: P.kwargs) -> str: return str(func(*args, **kwds)) return wrapper You can also insert an argument in a decorator (Python 3.12 syntax): .. code-block:: python from collections.abc import Callable from typing import Concatenate def printing_decorator[**P, T](func: Callable[P, T]) -> Callable[Concatenate[str, P], T]: def wrapper(msg: str, /, *args: P.args, **kwds: P.kwargs) -> T: print("Calling", func, "with", msg) return func(*args, **kwds) return wrapper @printing_decorator def add_forty_two(value: int) -> int: return value + 42 a = add_forty_two('three', 3) Here is the same function using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from collections.abc import Callable from typing import TypeVar from typing_extensions import Concatenate, ParamSpec P = ParamSpec('P') T = TypeVar('T') def printing_decorator(func: Callable[P, T]) -> Callable[Concatenate[str, P], T]: def wrapper(msg: str, /, *args: P.args, **kwds: P.kwargs) -> T: print("Calling", func, "with", msg) return func(*args, **kwds) return wrapper .. _decorator-factories: Decorator factories ------------------- Functions that take arguments and return a decorator (also called second-order decorators), are similarly supported via generics (Python 3.12 syntax): .. code-block:: python from collections.abc import Callable from typing import Any def route[F: Callable[..., Any]](url: str) -> Callable[[F], F]: ... @route(url='/') def index(request: Any) -> str: return 'Hello world' Note that mypy infers that ``F`` is used to make the ``Callable`` return value of ``route`` generic, instead of making ``route`` itself generic, since ``F`` is only used in the return type. Python has no explicit syntax to mark that ``F`` is only bound in the return value. Here is the example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from collections.abc import Callable from typing import Any, TypeVar F = TypeVar('F', bound=Callable[..., Any]) def route(url: str) -> Callable[[F], F]: ... @route(url='/') def index(request: Any) -> str: return 'Hello world' Sometimes the same decorator supports both bare calls and calls with arguments. This can be achieved by combining with :py:func:`@overload ` (Python 3.12 syntax): .. code-block:: python from collections.abc import Callable from typing import Any, overload # Bare decorator usage @overload def atomic[F: Callable[..., Any]](func: F, /) -> F: ... # Decorator with arguments @overload def atomic[F: Callable[..., Any]](*, savepoint: bool = True) -> Callable[[F], F]: ... # Implementation def atomic(func: Callable[..., Any] | None = None, /, *, savepoint: bool = True): def decorator(func: Callable[..., Any]): ... # Code goes here if __func is not None: return decorator(__func) else: return decorator # Usage @atomic def func1() -> None: ... @atomic(savepoint=False) def func2() -> None: ... Here is the decorator from the example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from collections.abc import Callable from typing import Any, Optional, TypeVar, overload F = TypeVar('F', bound=Callable[..., Any]) # Bare decorator usage @overload def atomic(func: F, /) -> F: ... # Decorator with arguments @overload def atomic(*, savepoint: bool = True) -> Callable[[F], F]: ... # Implementation def atomic(func: Optional[Callable[..., Any]] = None, /, *, savepoint: bool = True): ... # Same as above Generic protocols ***************** Mypy supports generic protocols (see also :ref:`protocol-types`). Several :ref:`predefined protocols ` are generic, such as :py:class:`Iterable[T] `, and you can define additional generic protocols. Generic protocols mostly follow the normal rules for generic classes. Example (Python 3.12 syntax): .. code-block:: python from typing import Protocol class Box[T](Protocol): content: T def do_stuff(one: Box[str], other: Box[bytes]) -> None: ... class StringWrapper: def __init__(self, content: str) -> None: self.content = content class BytesWrapper: def __init__(self, content: bytes) -> None: self.content = content do_stuff(StringWrapper('one'), BytesWrapper(b'other')) # OK x: Box[float] = ... y: Box[int] = ... x = y # Error -- Box is invariant Here is the definition of ``Box`` from the above example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from typing import Protocol, TypeVar T = TypeVar('T') class Box(Protocol[T]): content: T Note that ``class ClassName(Protocol[T])`` is allowed as a shorthand for ``class ClassName(Protocol, Generic[T])`` when using the legacy syntax, as per :pep:`PEP 544: Generic protocols <544#generic-protocols>`. This form is only valid when using the legacy syntax. When using the legacy syntax, there is an important difference between generic protocols and ordinary generic classes: mypy checks that the declared variances of generic type variables in a protocol match how they are used in the protocol definition. The protocol in this example is rejected, since the type variable ``T`` is used covariantly as a return type, but the type variable is invariant: .. code-block:: python from typing import Protocol, TypeVar T = TypeVar('T') class ReadOnlyBox(Protocol[T]): # error: Invariant type variable "T" used in protocol where covariant one is expected def content(self) -> T: ... This example correctly uses a covariant type variable: .. code-block:: python from typing import Protocol, TypeVar T_co = TypeVar('T_co', covariant=True) class ReadOnlyBox(Protocol[T_co]): # OK def content(self) -> T_co: ... ax: ReadOnlyBox[float] = ... ay: ReadOnlyBox[int] = ... ax = ay # OK -- ReadOnlyBox is covariant See :ref:`variance-of-generics` for more about variance. Generic protocols can also be recursive. Example (Python 3.12 syntax): .. code-block:: python class Linked[T](Protocol): val: T def next(self) -> 'Linked[T]': ... class L: val: int def next(self) -> 'L': ... def last(seq: Linked[T]) -> T: ... result = last(L()) reveal_type(result) # Revealed type is "builtins.int" Here is the definition of ``Linked`` using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from typing import TypeVar T = TypeVar('T') class Linked(Protocol[T]): val: T def next(self) -> 'Linked[T]': ... .. _generic-type-aliases: Generic type aliases ******************** Type aliases can be generic. In this case they can be used in two ways. First, subscripted aliases are equivalent to original types with substituted type variables. Second, unsubscripted aliases are treated as original types with type parameters replaced with ``Any``. The ``type`` statement introduced in Python 3.12 is used to define generic type aliases (it also supports non-generic type aliases): .. code-block:: python from collections.abc import Callable, Iterable type TInt[S] = tuple[int, S] type UInt[S] = S | int type CBack[S] = Callable[..., S] def response(query: str) -> UInt[str]: # Same as str | int ... def activate[S](cb: CBack[S]) -> S: # Same as Callable[..., S] ... table_entry: TInt # Same as tuple[int, Any] type Vec[T: (int, float, complex)] = Iterable[tuple[T, T]] def inproduct[T: (int, float, complex)](v: Vec[T]) -> T: return sum(x*y for x, y in v) def dilate[T: (int, float, complex)](v: Vec[T], scale: T) -> Vec[T]: return ((x * scale, y * scale) for x, y in v) v1: Vec[int] = [] # Same as Iterable[tuple[int, int]] v2: Vec = [] # Same as Iterable[tuple[Any, Any]] v3: Vec[int, int] = [] # Error: Invalid alias, too many type arguments! There is also a legacy syntax that relies on ``TypeVar``. Here the number of type arguments must match the number of free type variables in the generic type alias definition. A type variables is free if it's not a type parameter of a surrounding class or function. Example (following :pep:`PEP 484: Type aliases <484#type-aliases>`, Python 3.11 and earlier): .. code-block:: python from typing import TypeVar, Iterable, Union, Callable S = TypeVar('S') TInt = tuple[int, S] # 1 type parameter, since only S is free UInt = Union[S, int] CBack = Callable[..., S] def response(query: str) -> UInt[str]: # Same as Union[str, int] ... def activate(cb: CBack[S]) -> S: # Same as Callable[..., S] ... table_entry: TInt # Same as tuple[int, Any] T = TypeVar('T', int, float, complex) Vec = Iterable[tuple[T, T]] def inproduct(v: Vec[T]) -> T: return sum(x*y for x, y in v) def dilate(v: Vec[T], scale: T) -> Vec[T]: return ((x * scale, y * scale) for x, y in v) v1: Vec[int] = [] # Same as Iterable[tuple[int, int]] v2: Vec = [] # Same as Iterable[tuple[Any, Any]] v3: Vec[int, int] = [] # Error: Invalid alias, too many type arguments! Type aliases can be imported from modules just like other names. An alias can also target another alias, although building complex chains of aliases is not recommended -- this impedes code readability, thus defeating the purpose of using aliases. Example (Python 3.12 syntax): .. code-block:: python from example1 import AliasType from example2 import Vec # AliasType and Vec are type aliases (Vec as defined above) def fun() -> AliasType: ... type OIntVec = Vec[int] | None Type aliases defined using the ``type`` statement are not valid as base classes, and they can't be used to construct instances: .. code-block:: python from example1 import AliasType from example2 import Vec # AliasType and Vec are type aliases (Vec as defined above) class NewVec[T](Vec[T]): # Error: not valid as base class ... x = AliasType() # Error: can't be used to create instances Here are examples using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from typing import TypeVar, Generic, Optional from example1 import AliasType from example2 import Vec # AliasType and Vec are type aliases (Vec as defined above) def fun() -> AliasType: ... OIntVec = Optional[Vec[int]] T = TypeVar('T') # Old-style type aliases can be used as base classes and you can # construct instances using them class NewVec(Vec[T]): ... x = AliasType() for i, j in NewVec[int](): ... Using type variable bounds or value restriction in generic aliases has the same effect as in generic classes and functions. Differences between the new and old syntax ****************************************** There are a few notable differences between the new (Python 3.12 and later) and the old syntax for generic classes, functions and type aliases, beyond the obvious syntactic differences: * Type variables defined using the old syntax create definitions at runtime in the surrounding namespace, whereas the type variables defined using the new syntax are only defined within the class, function or type variable that uses them. * Type variable definitions can be shared when using the old syntax, but the new syntax doesn't support this. * When using the new syntax, the variance of class type variables is always inferred. * Type aliases defined using the new syntax can contain forward references and recursive references without using string literal escaping. The same is true for the bounds and constraints of type variables. * The new syntax lets you define a generic alias where the definition doesn't contain a reference to a type parameter. This is occasionally useful, at least when conditionally defining type aliases. * Type aliases defined using the new syntax can't be used as base classes and can't be used to construct instances, unlike aliases defined using the old syntax. Generic class internals *********************** You may wonder what happens at runtime when you index a generic class. Indexing returns a *generic alias* to the original class that returns instances of the original class on instantiation (Python 3.12 syntax): .. code-block:: python >>> class Stack[T]: ... >>> Stack __main__.Stack >>> Stack[int] __main__.Stack[int] >>> instance = Stack[int]() >>> instance.__class__ __main__.Stack Here is the same example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python >>> from typing import TypeVar, Generic >>> T = TypeVar('T') >>> class Stack(Generic[T]): ... >>> Stack __main__.Stack >>> Stack[int] __main__.Stack[int] >>> instance = Stack[int]() >>> instance.__class__ __main__.Stack Generic aliases can be instantiated or subclassed, similar to real classes, but the above examples illustrate that type variables are erased at runtime. Generic ``Stack`` instances are just ordinary Python objects, and they have no extra runtime overhead or magic due to being generic, other than the ``Generic`` base class that overloads the indexing operator using ``__class_getitem__``. ``typing.Generic`` is included as an implicit base class even when using the new syntax: .. code-block:: python >>> class Stack[T]: ... >>> Stack.mro() [, , ] Note that in Python 3.8 and earlier, the built-in types :py:class:`list`, :py:class:`dict` and others do not support indexing. This is why we have the aliases :py:class:`~typing.List`, :py:class:`~typing.Dict` and so on in the :py:mod:`typing` module. Indexing these aliases gives you a generic alias that resembles generic aliases constructed by directly indexing the target class in more recent versions of Python: .. code-block:: python >>> # Only relevant for Python 3.8 and below >>> # If using Python 3.9 or newer, prefer the 'list[int]' syntax >>> from typing import List >>> List[int] typing.List[int] Note that the generic aliases in ``typing`` don't support constructing instances, unlike the corresponding built-in classes: .. code-block:: python >>> list[int]() [] >>> from typing import List >>> List[int]() Traceback (most recent call last): ... TypeError: Type List cannot be instantiated; use list() instead ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/getting_started.rst0000644000175100017510000003215515112307767020436 0ustar00runnerrunner.. _getting-started: Getting started =============== This chapter introduces some core concepts of mypy, including function annotations, the :py:mod:`typing` module, stub files, and more. If you're looking for a quick intro, see the :ref:`mypy cheatsheet `. If you're unfamiliar with the concepts of static and dynamic type checking, be sure to read this chapter carefully, as the rest of the documentation may not make much sense otherwise. Installing and running mypy *************************** Mypy requires Python 3.9 or later to run. You can install mypy using pip: .. code-block:: shell $ python3 -m pip install mypy Once mypy is installed, run it by using the ``mypy`` tool: .. code-block:: shell $ mypy program.py This command makes mypy *type check* your ``program.py`` file and print out any errors it finds. Mypy will type check your code *statically*: this means that it will check for errors without ever running your code, just like a linter. This also means that you are always free to ignore the errors mypy reports, if you so wish. You can always use the Python interpreter to run your code, even if mypy reports errors. However, if you try directly running mypy on your existing Python code, it will most likely report little to no errors. This is a feature! It makes it easy to adopt mypy incrementally. In order to get useful diagnostics from mypy, you must add *type annotations* to your code. See the section below for details. .. _getting-started-dynamic-vs-static: Dynamic vs static typing ************************ A function without type annotations is considered to be *dynamically typed* by mypy: .. code-block:: python def greeting(name): return 'Hello ' + name By default, mypy will **not** type check dynamically typed functions. This means that with a few exceptions, mypy will not report any errors with regular unannotated Python. This is the case even if you misuse the function! .. code-block:: python def greeting(name): return 'Hello ' + name # These calls will fail when the program runs, but mypy does not report an error # because "greeting" does not have type annotations. greeting(123) greeting(b"Alice") We can get mypy to detect these kinds of bugs by adding *type annotations* (also known as *type hints*). For example, you can tell mypy that ``greeting`` both accepts and returns a string like so: .. code-block:: python # The "name: str" annotation says that the "name" argument should be a string # The "-> str" annotation says that "greeting" will return a string def greeting(name: str) -> str: return 'Hello ' + name This function is now *statically typed*: mypy will use the provided type hints to detect incorrect use of the ``greeting`` function and incorrect use of variables within the ``greeting`` function. For example: .. code-block:: python def greeting(name: str) -> str: return 'Hello ' + name greeting(3) # Argument 1 to "greeting" has incompatible type "int"; expected "str" greeting(b'Alice') # Argument 1 to "greeting" has incompatible type "bytes"; expected "str" greeting("World!") # No error def bad_greeting(name: str) -> str: return 'Hello ' * name # Unsupported operand types for * ("str" and "str") Being able to pick whether you want a function to be dynamically or statically typed can be very helpful. For example, if you are migrating an existing Python codebase to use static types, it's usually easier to migrate by incrementally adding type hints to your code rather than adding them all at once. Similarly, when you are prototyping a new feature, it may be convenient to initially implement the code using dynamic typing and only add type hints later once the code is more stable. Once you are finished migrating or prototyping your code, you can make mypy warn you if you add a dynamic function by mistake by using the :option:`--disallow-untyped-defs ` flag. You can also get mypy to provide some limited checking of dynamically typed functions by using the :option:`--check-untyped-defs ` flag. See :ref:`command-line` for more information on configuring mypy. Strict mode and configuration ***************************** Mypy has a *strict mode* that enables a number of additional checks, like :option:`--disallow-untyped-defs `. If you run mypy with the :option:`--strict ` flag, you will basically never get a type related error at runtime without a corresponding mypy error, unless you explicitly circumvent mypy somehow. However, this flag will probably be too aggressive if you are trying to add static types to a large, existing codebase. See :ref:`existing-code` for suggestions on how to handle that case. Mypy is very configurable, so you can start with using ``--strict`` and toggle off individual checks. For instance, if you use many third party libraries that do not have types, :option:`--ignore-missing-imports ` may be useful. See :ref:`getting-to-strict` for how to build up to ``--strict``. See :ref:`command-line` and :ref:`config-file` for a complete reference on configuration options. More complex types ****************** So far, we've added type hints that use only basic concrete types like ``str`` and ``float``. What if we want to express more complex types, such as "a list of strings" or "an iterable of ints"? For example, to indicate that some function can accept a list of strings, use the ``list[str]`` type (Python 3.9 and later): .. code-block:: python def greet_all(names: list[str]) -> None: for name in names: print('Hello ' + name) names = ["Alice", "Bob", "Charlie"] ages = [10, 20, 30] greet_all(names) # Ok! greet_all(ages) # Error due to incompatible types The :py:class:`list` type is an example of something called a *generic type*: it can accept one or more *type parameters*. In this case, we *parameterized* :py:class:`list` by writing ``list[str]``. This lets mypy know that ``greet_all`` accepts specifically lists containing strings, and not lists containing ints or any other type. In the above examples, the type signature is perhaps a little too rigid. After all, there's no reason why this function must accept *specifically* a list -- it would run just fine if you were to pass in a tuple, a set, or any other custom iterable. You can express this idea using :py:class:`collections.abc.Iterable`: .. code-block:: python from collections.abc import Iterable # or "from typing import Iterable" def greet_all(names: Iterable[str]) -> None: for name in names: print('Hello ' + name) This behavior is actually a fundamental aspect of the PEP 484 type system: when we annotate some variable with a type ``T``, we are actually telling mypy that variable can be assigned an instance of ``T``, or an instance of a *subtype* of ``T``. That is, ``list[str]`` is a subtype of ``Iterable[str]``. This also applies to inheritance, so if you have a class ``Child`` that inherits from ``Parent``, then a value of type ``Child`` can be assigned to a variable of type ``Parent``. For example, a ``RuntimeError`` instance can be passed to a function that is annotated as taking an ``Exception``. As another example, suppose you want to write a function that can accept *either* ints or strings, but no other types. You can express this using a union type. For example, ``int`` is a subtype of ``int | str``: .. code-block:: python def normalize_id(user_id: int | str) -> str: if isinstance(user_id, int): return f'user-{100_000 + user_id}' else: return user_id .. note:: If using Python 3.9 or earlier, use ``typing.Union[int, str]`` instead of ``int | str``, or use ``from __future__ import annotations`` at the top of the file (see :ref:`runtime_troubles`). The :py:mod:`typing` module contains many other useful types. For a quick overview, look through the :ref:`mypy cheatsheet `. For a detailed overview (including information on how to make your own generic types or your own type aliases), look through the :ref:`type system reference `. .. note:: When adding types, the convention is to import types using the form ``from typing import `` (as opposed to doing just ``import typing`` or ``import typing as t`` or ``from typing import *``). For brevity, we often omit imports from :py:mod:`typing` or :py:mod:`collections.abc` in code examples, but mypy will give an error if you use types such as :py:class:`~collections.abc.Iterable` without first importing them. .. note:: In some examples we use capitalized variants of types, such as ``List``, and sometimes we use plain ``list``. They are equivalent, but the prior variant is needed if you are using Python 3.8 or earlier. Local type inference ******************** Once you have added type hints to a function (i.e. made it statically typed), mypy will automatically type check that function's body. While doing so, mypy will try and *infer* as many details as possible. We saw an example of this in the ``normalize_id`` function above -- mypy understands basic :py:func:`isinstance ` checks and so can infer that the ``user_id`` variable was of type ``int`` in the if-branch and of type ``str`` in the else-branch. As another example, consider the following function. Mypy can type check this function without a problem: it will use the available context and deduce that ``output`` must be of type ``list[float]`` and that ``num`` must be of type ``float``: .. code-block:: python def nums_below(numbers: Iterable[float], limit: float) -> list[float]: output = [] for num in numbers: if num < limit: output.append(num) return output For more details, see :ref:`type-inference-and-annotations`. Types from libraries ******************** Mypy can also understand how to work with types from libraries that you use. For instance, mypy comes out of the box with an intimate knowledge of the Python standard library. For example, here is a function which uses the ``Path`` object from the :doc:`pathlib standard library module `: .. code-block:: python from pathlib import Path def load_template(template_path: Path, name: str) -> str: # Mypy knows that `template_path` has a `read_text` method that returns a str template = template_path.read_text() # ...so it understands this line type checks return template.replace('USERNAME', name) If a third party library you use :ref:`declares support for type checking `, mypy will type check your use of that library based on the type hints it contains. However, if the third party library does not have type hints, mypy will complain about missing type information. .. code-block:: text prog.py:1: error: Library stubs not installed for "yaml" prog.py:1: note: Hint: "python3 -m pip install types-PyYAML" prog.py:2: error: Library stubs not installed for "requests" prog.py:2: note: Hint: "python3 -m pip install types-requests" ... In this case, you can provide mypy a different source of type information, by installing a *stub* package. A stub package is a package that contains type hints for another library, but no actual code. .. code-block:: shell $ python3 -m pip install types-PyYAML types-requests Stubs packages for a distribution are often named ``types-``. Note that a distribution name may be different from the name of the package that you import. For example, ``types-PyYAML`` contains stubs for the ``yaml`` package. For more discussion on strategies for handling errors about libraries without type information, refer to :ref:`fix-missing-imports`. For more information about stubs, see :ref:`stub-files`. Next steps ********** If you are in a hurry and don't want to read lots of documentation before getting started, here are some pointers to quick learning resources: * Read the :ref:`mypy cheatsheet `. * Read :ref:`existing-code` if you have a significant existing codebase without many type annotations. * Read the `blog post `_ about the Zulip project's experiences with adopting mypy. * If you prefer watching talks instead of reading, here are some ideas: * Carl Meyer: `Type Checked Python in the Real World `_ (PyCon 2018) * Greg Price: `Clearer Code at Scale: Static Types at Zulip and Dropbox `_ (PyCon 2018) * Look at :ref:`solutions to common issues ` with mypy if you encounter problems. * You can ask questions about mypy in the `mypy issue tracker `_ and typing `Gitter chat `_. * For general questions about Python typing, try posting at `typing discussions `_. You can also continue reading this document and skip sections that aren't relevant for you. You don't need to read sections in order. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/html_builder.py0000644000175100017510000000534515112307767017542 0ustar00runnerrunnerfrom __future__ import annotations import json import os import textwrap from pathlib import Path from typing import Any from sphinx.addnodes import document from sphinx.application import Sphinx from sphinx.builders.html import StandaloneHTMLBuilder from sphinx.environment import BuildEnvironment from mypy.main import define_options class MypyHTMLBuilder(StandaloneHTMLBuilder): strict_file: Path def __init__(self, app: Sphinx, env: BuildEnvironment) -> None: super().__init__(app, env) self._ref_to_doc = {} self.strict_file = Path(self.srcdir) / "strict_list.rst" self._add_strict_list() def write_doc(self, docname: str, doctree: document) -> None: super().write_doc(docname, doctree) self._ref_to_doc.update({_id: docname for _id in doctree.ids}) def _add_strict_list(self) -> None: strict_flags: list[str] _, strict_flags, _ = define_options() strict_part = ", ".join(f":option:`{s} `" for s in strict_flags) if ( not strict_part or strict_part.isspace() or len(strict_part) < 20 or len(strict_part) > 2000 ): raise ValueError(f"{strict_part=}, which doesn't look right (by a simple heuristic).") self.strict_file.write_text( "For this version of mypy, the list of flags enabled by strict is: " + strict_part ) def _verify_error_codes(self) -> None: from mypy.errorcodes import error_codes missing_error_codes = {c for c in error_codes if f"code-{c}" not in self._ref_to_doc} if missing_error_codes: raise ValueError( f"Some error codes are not documented: {', '.join(sorted(missing_error_codes))}" ) def _write_ref_redirector(self) -> None: if os.getenv("VERIFY_MYPY_ERROR_CODES"): self._verify_error_codes() p = Path(self.outdir) / "_refs.html" data = f""" """ p.write_text(textwrap.dedent(data)) def finish(self) -> None: super().finish() self._write_ref_redirector() self.strict_file.unlink() def setup(app: Sphinx) -> dict[str, Any]: app.add_builder(MypyHTMLBuilder, override=True) return {"version": "0.1", "parallel_read_safe": True, "parallel_write_safe": True} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/index.rst0000644000175100017510000000573615112307767016363 0ustar00runnerrunner.. Mypy documentation master file, created by sphinx-quickstart on Sun Sep 14 19:50:35 2014. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to mypy documentation! ============================== Mypy is a static type checker for Python. Type checkers help ensure that you're using variables and functions in your code correctly. With mypy, add type hints (:pep:`484`) to your Python programs, and mypy will warn you when you use those types incorrectly. Python is a dynamic language, so usually you'll only see errors in your code when you attempt to run it. Mypy is a *static* checker, so it finds bugs in your programs without even running them! Here is a small example to whet your appetite: .. code-block:: python number = input("What is your favourite number?") print("It is", number + 1) # error: Unsupported operand types for + ("str" and "int") Adding type hints for mypy does not interfere with the way your program would otherwise run. Think of type hints as similar to comments! You can always use the Python interpreter to run your code, even if mypy reports errors. Mypy is designed with gradual typing in mind. This means you can add type hints to your code base slowly and that you can always fall back to dynamic typing when static typing is not convenient. Mypy has a powerful and easy-to-use type system, supporting features such as type inference, generics, callable types, tuple types, union types, structural subtyping and more. Using mypy will make your programs easier to understand, debug, and maintain. .. note:: Although mypy is production ready, there may be occasional changes that break backward compatibility. The mypy development team tries to minimize the impact of changes to user code. In case of a major breaking change, mypy's major version will be bumped. Contents -------- .. toctree:: :maxdepth: 2 :caption: First steps getting_started cheat_sheet_py3 existing_code .. _overview-type-system-reference: .. toctree:: :maxdepth: 2 :caption: Type system reference builtin_types type_inference_and_annotations kinds_of_types class_basics runtime_troubles protocols dynamic_typing type_narrowing duck_type_compatibility stubs generics more_types literal_types typed_dict final_attrs metaclasses .. toctree:: :maxdepth: 2 :caption: Configuring and running mypy running_mypy command_line config_file inline_config mypy_daemon installed_packages extending_mypy stubgen stubtest .. toctree:: :maxdepth: 2 :caption: Miscellaneous common_issues supported_python_features error_codes error_code_list error_code_list2 additional_features faq changelog .. toctree:: :hidden: :caption: Project Links GitHub Website Indices and tables ================== * :ref:`genindex` * :ref:`search` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/inline_config.rst0000644000175100017510000000221415112307767020043 0ustar00runnerrunner.. _inline-config: Inline configuration ==================== Mypy supports setting per-file configuration options inside files themselves using ``# mypy:`` comments. For example: .. code-block:: python # mypy: disallow-any-generics Inline configuration comments take precedence over all other configuration mechanisms. Configuration comment format **************************** Flags correspond to :ref:`config file flags ` but allow hyphens to be substituted for underscores. Values are specified using ``=``, but ``= True`` may be omitted: .. code-block:: python # mypy: disallow-any-generics # mypy: always-true=FOO Multiple flags can be separated by commas or placed on separate lines. To include a comma as part of an option's value, place the value inside quotes: .. code-block:: python # mypy: disallow-untyped-defs, always-false="FOO,BAR" Like in the configuration file, options that take a boolean value may be inverted by adding ``no-`` to their name or by (when applicable) swapping their prefix from ``disallow`` to ``allow`` (and vice versa): .. code-block:: python # mypy: allow-untyped-defs, no-strict-optional ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/installed_packages.rst0000644000175100017510000001463715112307767021071 0ustar00runnerrunner.. _installed-packages: Using installed packages ======================== Packages installed with pip can declare that they support type checking. For example, the `aiohttp `_ package has built-in support for type checking. Packages can also provide stubs for a library. For example, ``types-requests`` is a stub-only package that provides stubs for the `requests `_ package. Stub packages are usually published from `typeshed `_, a shared repository for Python library stubs, and have a name of form ``types-``. Note that many stub packages are not maintained by the original maintainers of the package. The sections below explain how mypy can use these packages, and how you can create such packages. .. note:: :pep:`561` specifies how a package can declare that it supports type checking. .. note:: New versions of stub packages often use type system features not supported by older, and even fairly recent mypy versions. If you pin to an older version of mypy (using ``requirements.txt``, for example), it is recommended that you also pin the versions of all your stub package dependencies. .. note:: Starting in mypy 0.900, most third-party package stubs must be installed explicitly. This decouples mypy and stub versioning, allowing stubs to updated without updating mypy. This also allows stubs not originally included with mypy to be installed. Earlier mypy versions included a fixed set of stubs for third-party packages. Using installed packages with mypy (PEP 561) ******************************************** Typically mypy will automatically find and use installed packages that support type checking or provide stubs. This requires that you install the packages in the Python environment that you use to run mypy. As many packages don't support type checking yet, you may also have to install a separate stub package, usually named ``types-``. (See :ref:`fix-missing-imports` for how to deal with libraries that don't support type checking and are also missing stubs.) If you have installed typed packages in another Python installation or environment, mypy won't automatically find them. One option is to install another copy of those packages in the environment in which you installed mypy. Alternatively, you can use the :option:`--python-executable ` flag to point to the Python executable for another environment, and mypy will find packages installed for that Python executable. Note that mypy does not support some more advanced import features, such as zip imports and custom import hooks. If you don't want to use installed packages that provide type information at all, use the :option:`--no-site-packages ` flag to disable searching for installed packages. Note that stub-only packages cannot be used with ``MYPYPATH``. If you want mypy to find the package, it must be installed. For a package ``foo``, the name of the stub-only package (``foo-stubs``) is not a legal package name, so mypy will not find it, unless it is installed (see :pep:`PEP 561: Stub-only Packages <561#stub-only-packages>` for more information). Creating PEP 561 compatible packages ************************************ .. note:: You can generally ignore this section unless you maintain a package on PyPI, or want to publish type information for an existing PyPI package. :pep:`561` describes three main ways to distribute type information: 1. A package has inline type annotations in the Python implementation. 2. A package ships :ref:`stub files ` with type information alongside the Python implementation. 3. A package ships type information for another package separately as stub files (also known as a "stub-only package"). If you want to create a stub-only package for an existing library, the simplest way is to contribute stubs to the `typeshed `_ repository, and a stub package will automatically be uploaded to PyPI. If you would like to publish a library package to a package repository yourself (e.g. on PyPI) for either internal or external use in type checking, packages that supply type information via type comments or annotations in the code should put a ``py.typed`` file in their package directory. For example, here is a typical directory structure: .. code-block:: text setup.py package_a/ __init__.py lib.py py.typed The ``setup.py`` file could look like this: .. code-block:: python from setuptools import setup setup( name="SuperPackageA", author="Me", version="0.1", package_data={"package_a": ["py.typed"]}, packages=["package_a"] ) Some packages have a mix of stub files and runtime files. These packages also require a ``py.typed`` file. An example can be seen below: .. code-block:: text setup.py package_b/ __init__.py lib.py lib.pyi py.typed The ``setup.py`` file might look like this: .. code-block:: python from setuptools import setup setup( name="SuperPackageB", author="Me", version="0.1", package_data={"package_b": ["py.typed", "lib.pyi"]}, packages=["package_b"] ) In this example, both ``lib.py`` and the ``lib.pyi`` stub file exist. At runtime, the Python interpreter will use ``lib.py``, but mypy will use ``lib.pyi`` instead. If the package is stub-only (not imported at runtime), the package should have a prefix of the runtime package name and a suffix of ``-stubs``. A ``py.typed`` file is not needed for stub-only packages. For example, if we had stubs for ``package_c``, we might do the following: .. code-block:: text setup.py package_c-stubs/ __init__.pyi lib.pyi The ``setup.py`` might look like this: .. code-block:: python from setuptools import setup setup( name="SuperPackageC", author="Me", version="0.1", package_data={"package_c-stubs": ["__init__.pyi", "lib.pyi"]}, packages=["package_c-stubs"] ) The instructions above are enough to ensure that the built wheels contain the appropriate files. However, to ensure inclusion inside the ``sdist`` (``.tar.gz`` archive), you may also need to modify the inclusion rules in your ``MANIFEST.in``: .. code-block:: text global-include *.pyi global-include *.typed ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/kinds_of_types.rst0000644000175100017510000005745415112307767020300 0ustar00runnerrunnerKinds of types ============== We've mostly restricted ourselves to built-in types until now. This section introduces several additional kinds of types. You are likely to need at least some of them to type check any non-trivial programs. Class types *********** Every class is also a valid type. Any instance of a subclass is also compatible with all superclasses -- it follows that every value is compatible with the :py:class:`object` type (and incidentally also the ``Any`` type, discussed below). Mypy analyzes the bodies of classes to determine which methods and attributes are available in instances. This example uses subclassing: .. code-block:: python class A: def f(self) -> int: # Type of self inferred (A) return 2 class B(A): def f(self) -> int: return 3 def g(self) -> int: return 4 def foo(a: A) -> None: print(a.f()) # 3 a.g() # Error: "A" has no attribute "g" foo(B()) # OK (B is a subclass of A) The Any type ************ A value with the ``Any`` type is dynamically typed. Mypy doesn't know anything about the possible runtime types of such value. Any operations are permitted on the value, and the operations are only checked at runtime. You can use ``Any`` as an "escape hatch" when you can't use a more precise type for some reason. This should not be confused with the :py:class:`object` type, which represents the set of all values. Unlike ``object``, ``Any`` introduces type unsafety — see :ref:`any-vs-object` for more. ``Any`` is compatible with every other type, and vice versa. You can freely assign a value of type ``Any`` to a variable with a more precise type: .. code-block:: python a: Any = None s: str = '' a = 2 # OK (assign "int" to "Any") s = a # OK (assign "Any" to "str") Declared (and inferred) types are ignored (or *erased*) at runtime. They are basically treated as comments, and thus the above code does not generate a runtime error, even though ``s`` gets an ``int`` value when the program is run, while the declared type of ``s`` is actually ``str``! You need to be careful with ``Any`` types, since they let you lie to mypy, and this could easily hide bugs. If you do not define a function return value or argument types, these default to ``Any``: .. code-block:: python def show_heading(s) -> None: print('=== ' + s + ' ===') # No static type checking, as s has type Any show_heading(1) # OK (runtime error only; mypy won't generate an error) You should give a statically typed function an explicit ``None`` return type even if it doesn't return a value, as this lets mypy catch additional type errors: .. code-block:: python def wait(t: float): # Implicit Any return value print('Waiting...') time.sleep(t) if wait(2) > 1: # Mypy doesn't catch this error! ... If we had used an explicit ``None`` return type, mypy would have caught the error: .. code-block:: python def wait(t: float) -> None: print('Waiting...') time.sleep(t) if wait(2) > 1: # Error: can't compare None and int ... The ``Any`` type is discussed in more detail in section :ref:`dynamic-typing`. .. note:: A function without any types in the signature is dynamically typed. The body of a dynamically typed function is not checked statically, and local variables have implicit ``Any`` types. This makes it easier to migrate legacy Python code to mypy, as mypy won't complain about dynamically typed functions. .. _tuple-types: Tuple types *********** The type ``tuple[T1, ..., Tn]`` represents a tuple with the item types ``T1``, ..., ``Tn``: .. code-block:: python # Use `typing.Tuple` in Python 3.8 and earlier def f(t: tuple[int, str]) -> None: t = 1, 'foo' # OK t = 'foo', 1 # Type check error A tuple type of this kind has exactly a specific number of items (2 in the above example). Tuples can also be used as immutable, varying-length sequences. You can use the type ``tuple[T, ...]`` (with a literal ``...`` -- it's part of the syntax) for this purpose. Example: .. code-block:: python def print_squared(t: tuple[int, ...]) -> None: for n in t: print(n, n ** 2) print_squared(()) # OK print_squared((1, 3, 5)) # OK print_squared([1, 2]) # Error: only a tuple is valid .. note:: Usually it's a better idea to use ``Sequence[T]`` instead of ``tuple[T, ...]``, as :py:class:`~collections.abc.Sequence` is also compatible with lists and other non-tuple sequences. .. note:: ``tuple[...]`` is valid as a base class in Python 3.6 and later, and always in stub files. In earlier Python versions you can sometimes work around this limitation by using a named tuple as a base class (see section :ref:`named-tuples`). .. _callable-types: Callable types (and lambdas) **************************** You can pass around function objects and bound methods in statically typed code. The type of a function that accepts arguments ``A1``, ..., ``An`` and returns ``Rt`` is ``Callable[[A1, ..., An], Rt]``. Example: .. code-block:: python from collections.abc import Callable def twice(i: int, next: Callable[[int], int]) -> int: return next(next(i)) def add(i: int) -> int: return i + 1 print(twice(3, add)) # 5 .. note:: Import :py:data:`Callable[...] ` from ``typing`` instead of ``collections.abc`` if you use Python 3.8 or earlier. You can only have positional arguments, and only ones without default values, in callable types. These cover the vast majority of uses of callable types, but sometimes this isn't quite enough. Mypy recognizes a special form ``Callable[..., T]`` (with a literal ``...``) which can be used in less typical cases. It is compatible with arbitrary callable objects that return a type compatible with ``T``, independent of the number, types or kinds of arguments. Mypy lets you call such callable values with arbitrary arguments, without any checking -- in this respect they are treated similar to a ``(*args: Any, **kwargs: Any)`` function signature. Example: .. code-block:: python from collections.abc import Callable def arbitrary_call(f: Callable[..., int]) -> int: return f('x') + f(y=2) # OK arbitrary_call(ord) # No static error, but fails at runtime arbitrary_call(open) # Error: does not return an int arbitrary_call(1) # Error: 'int' is not callable In situations where more precise or complex types of callbacks are necessary one can use flexible :ref:`callback protocols `. Lambdas are also supported. The lambda argument and return value types cannot be given explicitly; they are always inferred based on context using bidirectional type inference: .. code-block:: python l = map(lambda x: x + 1, [1, 2, 3]) # Infer x as int and l as list[int] If you want to give the argument or return value types explicitly, use an ordinary, perhaps nested function definition. Callables can also be used against type objects, matching their ``__init__`` or ``__new__`` signature: .. code-block:: python from collections.abc import Callable class C: def __init__(self, app: str) -> None: pass CallableType = Callable[[str], C] def class_or_callable(arg: CallableType) -> None: inst = arg("my_app") reveal_type(inst) # Revealed type is "C" This is useful if you want ``arg`` to be either a ``Callable`` returning an instance of ``C`` or the type of ``C`` itself. This also works with :ref:`callback protocols `. .. _union-types: .. _alternative_union_syntax: Union types *********** Python functions often accept values of two or more different types. You can use :ref:`overloading ` to represent this, but union types are often more convenient. Use ``T1 | ... | Tn`` to construct a union type. For example, if an argument has type ``int | str``, both integers and strings are valid argument values. You can use an :py:func:`isinstance` check to narrow down a union type to a more specific type: .. code-block:: python def f(x: int | str) -> None: x + 1 # Error: str + int is not valid if isinstance(x, int): # Here type of x is int. x + 1 # OK else: # Here type of x is str. x + 'a' # OK f(1) # OK f('x') # OK f(1.1) # Error .. note:: Operations are valid for union types only if they are valid for *every* union item. This is why it's often necessary to use an :py:func:`isinstance` check to first narrow down a union type to a non-union type. This also means that it's recommended to avoid union types as function return types, since the caller may have to use :py:func:`isinstance` before doing anything interesting with the value. Python 3.9 and older only partially support this syntax. Instead, you can use the legacy ``Union[T1, ..., Tn]`` type constructor. Example: .. code-block:: python from typing import Union def f(x: Union[int, str]) -> None: ... It is also possible to use the new syntax with versions of Python where it isn't supported by the runtime with some limitations, if you use ``from __future__ import annotations`` (see :ref:`runtime_troubles`): .. code-block:: python from __future__ import annotations def f(x: int | str) -> None: # OK on Python 3.7 and later ... .. _no-strict-optional: .. _strict_optional: Optional types and the None type ******************************** You can use ``T | None`` to define a type variant that allows ``None`` values, such as ``int | None``. This is called an *optional type*: .. code-block:: python def strlen(s: str) -> int | None: if not s: return None # OK return len(s) def strlen_invalid(s: str) -> int: if not s: return None # Error: None not compatible with int return len(s) To support Python 3.9 and earlier, you can use the :py:data:`~typing.Optional` type modifier instead, such as ``Optional[int]`` (``Optional[X]`` is the preferred shorthand for ``Union[X, None]``): .. code-block:: python from typing import Optional def strlen(s: str) -> Optional[int]: ... Most operations will not be allowed on unguarded ``None`` or *optional* values (values with an optional type): .. code-block:: python def my_inc(x: int | None) -> int: return x + 1 # Error: Cannot add None and int Instead, an explicit ``None`` check is required. Mypy has powerful type inference that lets you use regular Python idioms to guard against ``None`` values. For example, mypy recognizes ``is None`` checks: .. code-block:: python def my_inc(x: int | None) -> int: if x is None: return 0 else: # The inferred type of x is just int here. return x + 1 Mypy will infer the type of ``x`` to be ``int`` in the else block due to the check against ``None`` in the if condition. Other supported checks for guarding against a ``None`` value include ``if x is not None``, ``if x`` and ``if not x``. Additionally, mypy understands ``None`` checks within logical expressions: .. code-block:: python def concat(x: str | None, y: str | None) -> str | None: if x is not None and y is not None: # Both x and y are not None here return x + y else: return None Sometimes mypy doesn't realize that a value is never ``None``. This notably happens when a class instance can exist in a partially defined state, where some attribute is initialized to ``None`` during object construction, but a method assumes that the attribute is no longer ``None``. Mypy will complain about the possible ``None`` value. You can use ``assert x is not None`` to work around this in the method: .. code-block:: python class Resource: path: str | None = None def initialize(self, path: str) -> None: self.path = path def read(self) -> str: # We require that the object has been initialized. assert self.path is not None with open(self.path) as f: # OK return f.read() r = Resource() r.initialize('/foo/bar') r.read() When initializing a variable as ``None``, ``None`` is usually an empty place-holder value, and the actual value has a different type. This is why you need to annotate an attribute in cases like the class ``Resource`` above: .. code-block:: python class Resource: path: str | None = None ... This also works for attributes defined within methods: .. code-block:: python class Counter: def __init__(self) -> None: self.count: int | None = None Often it's easier to not use any initial value for an attribute. This way you don't need to use an optional type and can avoid ``assert ... is not None`` checks. No initial value is needed if you annotate an attribute in the class body: .. code-block:: python class Container: items: list[str] # No initial value Mypy generally uses the first assignment to a variable to infer the type of the variable. However, if you assign both a ``None`` value and a non-``None`` value in the same scope, mypy can usually do the right thing without an annotation: .. code-block:: python def f(i: int) -> None: n = None # Inferred type 'int | None' because of the assignment below if i > 0: n = i ... Sometimes you may get the error "Cannot determine type of ". In this case you should add an explicit ``... | None`` annotation. .. note:: ``None`` is a type with only one value, ``None``. ``None`` is also used as the return type for functions that don't return a value, i.e. functions that implicitly return ``None``. .. note:: The Python interpreter internally uses the name ``NoneType`` for the type of ``None``, but ``None`` is always used in type annotations. The latter is shorter and reads better. (``NoneType`` is available as :py:data:`types.NoneType` on Python 3.10+, but is not exposed at all on earlier versions of Python.) .. note:: The type ``Optional[T]`` *does not* mean a function parameter with a default value. It simply means that ``None`` is a valid argument value. This is a common confusion because ``None`` is a common default value for parameters, and parameters with default values are sometimes called *optional* parameters (or arguments). .. _type-aliases: Type aliases ************ In certain situations, type names may end up being long and painful to type, especially if they are used frequently: .. code-block:: python def f() -> list[dict[tuple[int, str], set[int]]] | tuple[str, list[str]]: ... When cases like this arise, you can define a type alias by simply assigning the type to a variable (this is an *implicit type alias*): .. code-block:: python AliasType = list[dict[tuple[int, str], set[int]]] | tuple[str, list[str]] # Now we can use AliasType in place of the full name: def f() -> AliasType: ... .. note:: A type alias does not create a new type. It's just a shorthand notation for another type -- it's equivalent to the target type except for :ref:`generic aliases `. Python 3.12 introduced the ``type`` statement for defining *explicit type aliases*. Explicit type aliases are unambiguous and can also improve readability by making the intent clear: .. code-block:: python type AliasType = list[dict[tuple[int, str], set[int]]] | tuple[str, list[str]] # Now we can use AliasType in place of the full name: def f() -> AliasType: ... There can be confusion about exactly when an assignment defines an implicit type alias -- for example, when the alias contains forward references, invalid types, or violates some other restrictions on type alias declarations. Because the distinction between an unannotated variable and a type alias is implicit, ambiguous or incorrect type alias declarations default to defining a normal variable instead of a type alias. Aliases defined using the ``type`` statement have these properties, which distinguish them from implicit type aliases: * The definition may contain forward references without having to use string literal escaping, since it is evaluated lazily. * The alias can be used in type annotations, type arguments, and casts, but it can't be used in contexts which require a class object. For example, it's not valid as a base class and it can't be used to construct instances. There is also use an older syntax for defining explicit type aliases, which was introduced in Python 3.10 (:pep:`613`): .. code-block:: python from typing import TypeAlias # "from typing_extensions" in Python 3.9 and earlier AliasType: TypeAlias = list[dict[tuple[int, str], set[int]]] | tuple[str, list[str]] .. _named-tuples: Named tuples ************ Mypy recognizes named tuples and can type check code that defines or uses them. In this example, we can detect code trying to access a missing attribute: .. code-block:: python Point = namedtuple('Point', ['x', 'y']) p = Point(x=1, y=2) print(p.z) # Error: Point has no attribute 'z' If you use :py:func:`namedtuple ` to define your named tuple, all the items are assumed to have ``Any`` types. That is, mypy doesn't know anything about item types. You can use :py:class:`~typing.NamedTuple` to also define item types: .. code-block:: python from typing import NamedTuple Point = NamedTuple('Point', [('x', int), ('y', int)]) p = Point(x=1, y='x') # Argument has incompatible type "str"; expected "int" Python 3.6 introduced an alternative, class-based syntax for named tuples with types: .. code-block:: python from typing import NamedTuple class Point(NamedTuple): x: int y: int p = Point(x=1, y='x') # Argument has incompatible type "str"; expected "int" .. note:: You can use the raw ``NamedTuple`` "pseudo-class" in type annotations if any ``NamedTuple`` object is valid. For example, it can be useful for deserialization: .. code-block:: python def deserialize_named_tuple(arg: NamedTuple) -> Dict[str, Any]: return arg._asdict() Point = namedtuple('Point', ['x', 'y']) Person = NamedTuple('Person', [('name', str), ('age', int)]) deserialize_named_tuple(Point(x=1, y=2)) # ok deserialize_named_tuple(Person(name='Nikita', age=18)) # ok # Error: Argument 1 to "deserialize_named_tuple" has incompatible type # "Tuple[int, int]"; expected "NamedTuple" deserialize_named_tuple((1, 2)) Note that this behavior is highly experimental, non-standard, and may not be supported by other type checkers and IDEs. .. _type-of-class: The type of class objects ************************* (Freely after :pep:`PEP 484: The type of class objects <484#the-type-of-class-objects>`.) Sometimes you want to talk about class objects that inherit from a given class. This can be spelled as ``type[C]`` (or, on Python 3.8 and lower, :py:class:`typing.Type[C] `) where ``C`` is a class. In other words, when ``C`` is the name of a class, using ``C`` to annotate an argument declares that the argument is an instance of ``C`` (or of a subclass of ``C``), but using ``type[C]`` as an argument annotation declares that the argument is a class object deriving from ``C`` (or ``C`` itself). For example, assume the following classes: .. code-block:: python class User: # Defines fields like name, email class BasicUser(User): def upgrade(self): """Upgrade to Pro""" class ProUser(User): def pay(self): """Pay bill""" Note that ``ProUser`` doesn't inherit from ``BasicUser``. Here's a function that creates an instance of one of these classes if you pass it the right class object: .. code-block:: python def new_user(user_class): user = user_class() # (Here we could write the user object to a database) return user How would we annotate this function? Without the ability to parameterize ``type``, the best we could do would be: .. code-block:: python def new_user(user_class: type) -> User: # Same implementation as before This seems reasonable, except that in the following example, mypy doesn't see that the ``buyer`` variable has type ``ProUser``: .. code-block:: python buyer = new_user(ProUser) buyer.pay() # Rejected, not a method on User However, using the ``type[C]`` syntax and a type variable with an upper bound (see :ref:`type-variable-upper-bound`) we can do better (Python 3.12 syntax): .. code-block:: python def new_user[U: User](user_class: type[U]) -> U: # Same implementation as before Here is the example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python U = TypeVar('U', bound=User) def new_user(user_class: type[U]) -> U: # Same implementation as before Now mypy will infer the correct type of the result when we call ``new_user()`` with a specific subclass of ``User``: .. code-block:: python beginner = new_user(BasicUser) # Inferred type is BasicUser beginner.upgrade() # OK .. note:: The value corresponding to ``type[C]`` must be an actual class object that's a subtype of ``C``. Its constructor must be compatible with the constructor of ``C``. If ``C`` is a type variable, its upper bound must be a class object. For more details about ``type[]`` and :py:class:`typing.Type[] `, see :pep:`PEP 484: The type of class objects <484#the-type-of-class-objects>`. .. _generators: Generators ********** A basic generator that only yields values can be succinctly annotated as having a return type of either :py:class:`Iterator[YieldType] ` or :py:class:`Iterable[YieldType] `. For example: .. code-block:: python def squares(n: int) -> Iterator[int]: for i in range(n): yield i * i A good rule of thumb is to annotate functions with the most specific return type possible. However, you should also take care to avoid leaking implementation details into a function's public API. In keeping with these two principles, prefer :py:class:`Iterator[YieldType] ` over :py:class:`Iterable[YieldType] ` as the return-type annotation for a generator function, as it lets mypy know that users are able to call :py:func:`next` on the object returned by the function. Nonetheless, bear in mind that ``Iterable`` may sometimes be the better option, if you consider it an implementation detail that ``next()`` can be called on the object returned by your function. If you want your generator to accept values via the :py:meth:`~generator.send` method or return a value, on the other hand, you should use the :py:class:`Generator[YieldType, SendType, ReturnType] ` generic type instead of either ``Iterator`` or ``Iterable``. For example: .. code-block:: python def echo_round() -> Generator[int, float, str]: sent = yield 0 while sent >= 0: sent = yield round(sent) return 'Done' Note that unlike many other generics in the typing module, the ``SendType`` of :py:class:`~typing.Generator` behaves contravariantly, not covariantly or invariantly. If you do not plan on receiving or returning values, then set the ``SendType`` or ``ReturnType`` to ``None``, as appropriate. For example, we could have annotated the first example as the following: .. code-block:: python def squares(n: int) -> Generator[int, None, None]: for i in range(n): yield i * i This is slightly different from using ``Iterator[int]`` or ``Iterable[int]``, since generators have :py:meth:`~generator.close`, :py:meth:`~generator.send`, and :py:meth:`~generator.throw` methods that generic iterators and iterables don't. If you plan to call these methods on the returned generator, use the :py:class:`~typing.Generator` type instead of :py:class:`~typing.Iterator` or :py:class:`~typing.Iterable`. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/literal_types.rst0000644000175100017510000004132715112307767020130 0ustar00runnerrunnerLiteral types and Enums ======================= .. _literal_types: Literal types ------------- Literal types let you indicate that an expression is equal to some specific primitive value. For example, if we annotate a variable with type ``Literal["foo"]``, mypy will understand that variable is not only of type ``str``, but is also equal to specifically the string ``"foo"``. This feature is primarily useful when annotating functions that behave differently based on the exact value the caller provides. For example, suppose we have a function ``fetch_data(...)`` that returns ``bytes`` if the first argument is ``True``, and ``str`` if it's ``False``. We can construct a precise type signature for this function using ``Literal[...]`` and overloads: .. code-block:: python from typing import overload, Union, Literal # The first two overloads use Literal[...] so we can # have precise return types: @overload def fetch_data(raw: Literal[True]) -> bytes: ... @overload def fetch_data(raw: Literal[False]) -> str: ... # The last overload is a fallback in case the caller # provides a regular bool: @overload def fetch_data(raw: bool) -> Union[bytes, str]: ... def fetch_data(raw: bool) -> Union[bytes, str]: # Implementation is omitted ... reveal_type(fetch_data(True)) # Revealed type is "bytes" reveal_type(fetch_data(False)) # Revealed type is "str" # Variables declared without annotations will continue to have an # inferred type of 'bool'. variable = True reveal_type(fetch_data(variable)) # Revealed type is "Union[bytes, str]" .. note:: The examples in this page import ``Literal`` as well as ``Final`` and ``TypedDict`` from the ``typing`` module. These types were added to ``typing`` in Python 3.8, but are also available for use in Python 3.4 - 3.7 via the ``typing_extensions`` package. Parameterizing Literals *********************** Literal types may contain one or more literal bools, ints, strs, bytes, and enum values. However, literal types **cannot** contain arbitrary expressions: types like ``Literal[my_string.trim()]``, ``Literal[x > 3]``, or ``Literal[3j + 4]`` are all illegal. Literals containing two or more values are equivalent to the union of those values. So, ``Literal[-3, b"foo", MyEnum.A]`` is equivalent to ``Union[Literal[-3], Literal[b"foo"], Literal[MyEnum.A]]``. This makes writing more complex types involving literals a little more convenient. Literal types may also contain ``None``. Mypy will treat ``Literal[None]`` as being equivalent to just ``None``. This means that ``Literal[4, None]``, ``Literal[4] | None``, and ``Optional[Literal[4]]`` are all equivalent. Literals may also contain aliases to other literal types. For example, the following program is legal: .. code-block:: python PrimaryColors = Literal["red", "blue", "yellow"] SecondaryColors = Literal["purple", "green", "orange"] AllowedColors = Literal[PrimaryColors, SecondaryColors] def paint(color: AllowedColors) -> None: ... paint("red") # Type checks! paint("turquoise") # Does not type check Literals may not contain any other kind of type or expression. This means doing ``Literal[my_instance]``, ``Literal[Any]``, ``Literal[3.14]``, or ``Literal[{"foo": 2, "bar": 5}]`` are all illegal. Declaring literal variables *************************** You must explicitly add an annotation to a variable to declare that it has a literal type: .. code-block:: python a: Literal[19] = 19 reveal_type(a) # Revealed type is "Literal[19]" In order to preserve backwards-compatibility, variables without this annotation are **not** assumed to be literals: .. code-block:: python b = 19 reveal_type(b) # Revealed type is "int" If you find repeating the value of the variable in the type hint to be tedious, you can instead change the variable to be ``Final`` (see :ref:`final_attrs`): .. code-block:: python from typing import Final, Literal def expects_literal(x: Literal[19]) -> None: pass c: Final = 19 reveal_type(c) # Revealed type is "Literal[19]?" expects_literal(c) # ...and this type checks! If you do not provide an explicit type in the ``Final``, the type of ``c`` becomes *context-sensitive*: mypy will basically try "substituting" the original assigned value whenever it's used before performing type checking. This is why the revealed type of ``c`` is ``Literal[19]?``: the question mark at the end reflects this context-sensitive nature. For example, mypy will type check the above program almost as if it were written like so: .. code-block:: python from typing import Final, Literal def expects_literal(x: Literal[19]) -> None: pass reveal_type(19) expects_literal(19) This means that while changing a variable to be ``Final`` is not quite the same thing as adding an explicit ``Literal[...]`` annotation, it often leads to the same effect in practice. The main cases where the behavior of context-sensitive vs true literal types differ are when you try using those types in places that are not explicitly expecting a ``Literal[...]``. For example, compare and contrast what happens when you try appending these types to a list: .. code-block:: python from typing import Final, Literal a: Final = 19 b: Literal[19] = 19 # Mypy will choose to infer list[int] here. list_of_ints = [] list_of_ints.append(a) reveal_type(list_of_ints) # Revealed type is "list[int]" # But if the variable you're appending is an explicit Literal, mypy # will infer list[Literal[19]]. list_of_lits = [] list_of_lits.append(b) reveal_type(list_of_lits) # Revealed type is "list[Literal[19]]" Intelligent indexing ******************** We can use Literal types to more precisely index into structured heterogeneous types such as tuples, NamedTuples, and TypedDicts. This feature is known as *intelligent indexing*. For example, when we index into a tuple using some int, the inferred type is normally the union of the tuple item types. However, if we want just the type corresponding to some particular index, we can use Literal types like so: .. code-block:: python from typing import TypedDict tup = ("foo", 3.4) # Indexing with an int literal gives us the exact type for that index reveal_type(tup[0]) # Revealed type is "str" # But what if we want the index to be a variable? Normally mypy won't # know exactly what the index is and so will return a less precise type: int_index = 0 reveal_type(tup[int_index]) # Revealed type is "Union[str, float]" # But if we use either Literal types or a Final int, we can gain back # the precision we originally had: lit_index: Literal[0] = 0 fin_index: Final = 0 reveal_type(tup[lit_index]) # Revealed type is "str" reveal_type(tup[fin_index]) # Revealed type is "str" # We can do the same thing with with TypedDict and str keys: class MyDict(TypedDict): name: str main_id: int backup_id: int d: MyDict = {"name": "Saanvi", "main_id": 111, "backup_id": 222} name_key: Final = "name" reveal_type(d[name_key]) # Revealed type is "str" # You can also index using unions of literals id_key: Literal["main_id", "backup_id"] reveal_type(d[id_key]) # Revealed type is "int" .. _tagged_unions: Tagged unions ************* When you have a union of types, you can normally discriminate between each type in the union by using ``isinstance`` checks. For example, if you had a variable ``x`` of type ``Union[int, str]``, you could write some code that runs only if ``x`` is an int by doing ``if isinstance(x, int): ...``. However, it is not always possible or convenient to do this. For example, it is not possible to use ``isinstance`` to distinguish between two different TypedDicts since at runtime, your variable will simply be just a dict. Instead, what you can do is *label* or *tag* your TypedDicts with a distinct Literal type. Then, you can discriminate between each kind of TypedDict by checking the label: .. code-block:: python from typing import Literal, TypedDict, Union class NewJobEvent(TypedDict): tag: Literal["new-job"] job_name: str config_file_path: str class CancelJobEvent(TypedDict): tag: Literal["cancel-job"] job_id: int Event = Union[NewJobEvent, CancelJobEvent] def process_event(event: Event) -> None: # Since we made sure both TypedDicts have a key named 'tag', it's # safe to do 'event["tag"]'. This expression normally has the type # Literal["new-job", "cancel-job"], but the check below will narrow # the type to either Literal["new-job"] or Literal["cancel-job"]. # # This in turns narrows the type of 'event' to either NewJobEvent # or CancelJobEvent. if event["tag"] == "new-job": print(event["job_name"]) else: print(event["job_id"]) While this feature is mostly useful when working with TypedDicts, you can also use the same technique with regular objects, tuples, or namedtuples. Similarly, tags do not need to be specifically str Literals: they can be any type you can normally narrow within ``if`` statements and the like. For example, you could have your tags be int or Enum Literals or even regular classes you narrow using ``isinstance()`` (Python 3.12 syntax): .. code-block:: python class Wrapper[T]: def __init__(self, inner: T) -> None: self.inner = inner def process(w: Wrapper[int] | Wrapper[str]) -> None: # Doing `if isinstance(w, Wrapper[int])` does not work: isinstance requires # that the second argument always be an *erased* type, with no generics. # This is because generics are a typing-only concept and do not exist at # runtime in a way `isinstance` can always check. # # However, we can side-step this by checking the type of `w.inner` to # narrow `w` itself: if isinstance(w.inner, int): reveal_type(w) # Revealed type is "Wrapper[int]" else: reveal_type(w) # Revealed type is "Wrapper[str]" This feature is sometimes called "sum types" or "discriminated union types" in other programming languages. Exhaustiveness checking *********************** You may want to check that some code covers all possible ``Literal`` or ``Enum`` cases. Example: .. code-block:: python from typing import Literal PossibleValues = Literal['one', 'two'] def validate(x: PossibleValues) -> bool: if x == 'one': return True elif x == 'two': return False raise ValueError(f'Invalid value: {x}') assert validate('one') is True assert validate('two') is False In the code above, it's easy to make a mistake. You can add a new literal value to ``PossibleValues`` but forget to handle it in the ``validate`` function: .. code-block:: python PossibleValues = Literal['one', 'two', 'three'] Mypy won't catch that ``'three'`` is not covered. If you want mypy to perform an exhaustiveness check, you need to update your code to use an ``assert_never()`` check: .. code-block:: python from typing import Literal, NoReturn from typing_extensions import assert_never PossibleValues = Literal['one', 'two'] def validate(x: PossibleValues) -> bool: if x == 'one': return True elif x == 'two': return False assert_never(x) Now if you add a new value to ``PossibleValues`` but don't update ``validate``, mypy will spot the error: .. code-block:: python PossibleValues = Literal['one', 'two', 'three'] def validate(x: PossibleValues) -> bool: if x == 'one': return True elif x == 'two': return False # Error: Argument 1 to "assert_never" has incompatible type "Literal['three']"; # expected "NoReturn" assert_never(x) If runtime checking against unexpected values is not needed, you can leave out the ``assert_never`` call in the above example, and mypy will still generate an error about function ``validate`` returning without a value: .. code-block:: python PossibleValues = Literal['one', 'two', 'three'] # Error: Missing return statement def validate(x: PossibleValues) -> bool: if x == 'one': return True elif x == 'two': return False Exhaustiveness checking is also supported for match statements (Python 3.10 and later): .. code-block:: python def validate(x: PossibleValues) -> bool: match x: case 'one': return True case 'two': return False assert_never(x) Limitations *********** Mypy will not understand expressions that use variables of type ``Literal[..]`` on a deep level. For example, if you have a variable ``a`` of type ``Literal[3]`` and another variable ``b`` of type ``Literal[5]``, mypy will infer that ``a + b`` has type ``int``, **not** type ``Literal[8]``. The basic rule is that literal types are treated as just regular subtypes of whatever type the parameter has. For example, ``Literal[3]`` is treated as a subtype of ``int`` and so will inherit all of ``int``'s methods directly. This means that ``Literal[3].__add__`` accepts the same arguments and has the same return type as ``int.__add__``. Enums ----- Mypy has special support for :py:class:`enum.Enum` and its subclasses: :py:class:`enum.IntEnum`, :py:class:`enum.Flag`, :py:class:`enum.IntFlag`, and :py:class:`enum.StrEnum`. .. code-block:: python from enum import Enum class Direction(Enum): up = 'up' down = 'down' reveal_type(Direction.up) # Revealed type is "Literal[Direction.up]?" reveal_type(Direction.down) # Revealed type is "Literal[Direction.down]?" You can use enums to annotate types as you would expect: .. code-block:: python class Movement: def __init__(self, direction: Direction, speed: float) -> None: self.direction = direction self.speed = speed Movement(Direction.up, 5.0) # ok Movement('up', 5.0) # E: Argument 1 to "Movement" has incompatible type "str"; expected "Direction" Exhaustiveness checking *********************** Similar to ``Literal`` types, ``Enum`` supports exhaustiveness checking. Let's start with a definition: .. code-block:: python from enum import Enum from typing import NoReturn from typing_extensions import assert_never class Direction(Enum): up = 'up' down = 'down' Now, let's use an exhaustiveness check: .. code-block:: python def choose_direction(direction: Direction) -> None: if direction is Direction.up: reveal_type(direction) # N: Revealed type is "Literal[Direction.up]" print('Going up!') return elif direction is Direction.down: print('Down') return # This line is never reached assert_never(direction) If we forget to handle one of the cases, mypy will generate an error: .. code-block:: python def choose_direction(direction: Direction) -> None: if direction == Direction.up: print('Going up!') return assert_never(direction) # E: Argument 1 to "assert_never" has incompatible type "Direction"; expected "NoReturn" Exhaustiveness checking is also supported for match statements (Python 3.10 and later). For match statements specifically, inexhaustive matches can be caught without needing to use ``assert_never`` by using :option:`--enable-error-code exhaustive-match `. Extra Enum checks ***************** Mypy also tries to support special features of ``Enum`` the same way Python's runtime does: - Any ``Enum`` class with values is implicitly :ref:`final `. This is what happens in CPython: .. code-block:: python >>> class AllDirection(Direction): ... left = 'left' ... right = 'right' Traceback (most recent call last): ... TypeError: AllDirection: cannot extend enumeration 'Direction' Mypy also catches this error: .. code-block:: python class AllDirection(Direction): # E: Cannot inherit from final class "Direction" left = 'left' right = 'right' - All ``Enum`` fields are implicitly ``final`` as well. .. code-block:: python Direction.up = '^' # E: Cannot assign to final attribute "up" - All field names are checked to be unique. .. code-block:: python class Some(Enum): x = 1 x = 2 # E: Attempted to reuse member name "x" in Enum definition "Some" - Base classes have no conflicts and mixin types are correct. .. code-block:: python class WrongEnum(str, int, enum.Enum): # E: Only a single data type mixin is allowed for Enum subtypes, found extra "int" ... class MixinAfterEnum(enum.Enum, Mixin): # E: No base classes are allowed after "enum.Enum" ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/metaclasses.rst0000644000175100017510000000663115112307767017553 0ustar00runnerrunner.. _metaclasses: Metaclasses =========== A :ref:`metaclass ` is a class that describes the construction and behavior of other classes, similarly to how classes describe the construction and behavior of objects. The default metaclass is :py:class:`type`, but it's possible to use other metaclasses. Metaclasses allows one to create "a different kind of class", such as :py:class:`~enum.Enum`\s, :py:class:`~typing.NamedTuple`\s and singletons. Mypy has some special understanding of :py:class:`~abc.ABCMeta` and ``EnumMeta``. .. _defining: Defining a metaclass ******************** .. code-block:: python class M(type): pass class A(metaclass=M): pass .. _examples: Metaclass usage example *********************** Mypy supports the lookup of attributes in the metaclass: .. code-block:: python from typing import ClassVar, TypeVar S = TypeVar("S") class M(type): count: ClassVar[int] = 0 def make(cls: type[S]) -> S: M.count += 1 return cls() class A(metaclass=M): pass a: A = A.make() # make() is looked up at M; the result is an object of type A print(A.count) class B(A): pass b: B = B.make() # metaclasses are inherited print(B.count + " objects were created") # Error: Unsupported operand types for + ("int" and "str") .. _limitations: Gotchas and limitations of metaclass support ******************************************** Note that metaclasses pose some requirements on the inheritance structure, so it's better not to combine metaclasses and class hierarchies: .. code-block:: python class M1(type): pass class M2(type): pass class A1(metaclass=M1): pass class A2(metaclass=M2): pass class B1(A1, metaclass=M2): pass # Mypy Error: metaclass conflict # At runtime the above definition raises an exception # TypeError: metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases class B12(A1, A2): pass # Mypy Error: metaclass conflict # This can be solved via a common metaclass subtype: class CorrectMeta(M1, M2): pass class B2(A1, A2, metaclass=CorrectMeta): pass # OK, runtime is also OK * Mypy does not understand dynamically-computed metaclasses, such as ``class A(metaclass=f()): ...`` * Mypy does not and cannot understand arbitrary metaclass code. * Mypy only recognizes subclasses of :py:class:`type` as potential metaclasses. * ``Self`` is not allowed as annotation in metaclasses as per `PEP 673`_. .. _PEP 673: https://peps.python.org/pep-0673/#valid-locations-for-self For some builtin types, mypy may think their metaclass is :py:class:`abc.ABCMeta` even if it is :py:class:`type` at runtime. In those cases, you can either: * use :py:class:`abc.ABCMeta` instead of :py:class:`type` as the superclass of your metaclass if that works in your use-case * mute the error with ``# type: ignore[metaclass]`` .. code-block:: python import abc assert type(tuple) is type # metaclass of tuple is type at runtime # The problem: class M0(type): pass class A0(tuple, metaclass=M0): pass # Mypy Error: metaclass conflict # Option 1: use ABCMeta instead of type class M1(abc.ABCMeta): pass class A1(tuple, metaclass=M1): pass # Option 2: mute the error class M2(type): pass class A2(tuple, metaclass=M2): pass # type: ignore[metaclass] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/more_types.rst0000644000175100017510000010231115112307767017425 0ustar00runnerrunnerMore types ========== This section introduces a few additional kinds of types, including :py:data:`~typing.NoReturn`, :py:class:`~typing.NewType`, and types for async code. It also discusses how to give functions more precise types using overloads. All of these are only situationally useful, so feel free to skip this section and come back when you have a need for some of them. Here's a quick summary of what's covered here: * :py:data:`~typing.NoReturn` lets you tell mypy that a function never returns normally. * :py:class:`~typing.NewType` lets you define a variant of a type that is treated as a separate type by mypy but is identical to the original type at runtime. For example, you can have ``UserId`` as a variant of ``int`` that is just an ``int`` at runtime. * :py:func:`@overload ` lets you define a function that can accept multiple distinct signatures. This is useful if you need to encode a relationship between the arguments and the return type that would be difficult to express normally. * Async types let you type check programs using ``async`` and ``await``. .. _noreturn: The NoReturn type ***************** Mypy provides support for functions that never return. For example, a function that unconditionally raises an exception: .. code-block:: python from typing import NoReturn def stop() -> NoReturn: raise Exception('no way') Mypy will ensure that functions annotated as returning :py:data:`~typing.NoReturn` truly never return, either implicitly or explicitly. Mypy will also recognize that the code after calls to such functions is unreachable and will behave accordingly: .. code-block:: python def f(x: int) -> int: if x == 0: return x stop() return 'whatever works' # No error in an unreachable block In earlier Python versions you need to install ``typing_extensions`` using pip to use :py:data:`~typing.NoReturn` in your code. Python 3 command line: .. code-block:: text python3 -m pip install --upgrade typing-extensions .. _newtypes: NewTypes ******** There are situations where you may want to avoid programming errors by creating simple derived classes that are only used to distinguish certain values from base class instances. Example: .. code-block:: python class UserId(int): pass def get_by_user_id(user_id: UserId): ... However, this approach introduces some runtime overhead. To avoid this, the typing module provides a helper object :py:class:`~typing.NewType` that creates simple unique types with almost zero runtime overhead. Mypy will treat the statement ``Derived = NewType('Derived', Base)`` as being roughly equivalent to the following definition: .. code-block:: python class Derived(Base): def __init__(self, _x: Base) -> None: ... However, at runtime, ``NewType('Derived', Base)`` will return a dummy callable that simply returns its argument: .. code-block:: python def Derived(_x): return _x Mypy will require explicit casts from ``int`` where ``UserId`` is expected, while implicitly casting from ``UserId`` where ``int`` is expected. Examples: .. code-block:: python from typing import NewType UserId = NewType('UserId', int) def name_by_id(user_id: UserId) -> str: ... UserId('user') # Fails type check name_by_id(42) # Fails type check name_by_id(UserId(42)) # OK num: int = UserId(5) + 1 :py:class:`~typing.NewType` accepts exactly two arguments. The first argument must be a string literal containing the name of the new type and must equal the name of the variable to which the new type is assigned. The second argument must be a properly subclassable class, i.e., not a type construct like a :ref:`union type `, etc. The callable returned by :py:class:`~typing.NewType` accepts only one argument; this is equivalent to supporting only one constructor accepting an instance of the base class (see above). Example: .. code-block:: python from typing import NewType class PacketId: def __init__(self, major: int, minor: int) -> None: self._major = major self._minor = minor TcpPacketId = NewType('TcpPacketId', PacketId) packet = PacketId(100, 100) tcp_packet = TcpPacketId(packet) # OK tcp_packet = TcpPacketId(127, 0) # Fails in type checker and at runtime You cannot use :py:func:`isinstance` or :py:func:`issubclass` on the object returned by :py:class:`~typing.NewType`, nor can you subclass an object returned by :py:class:`~typing.NewType`. .. note:: Unlike type aliases, :py:class:`~typing.NewType` will create an entirely new and unique type when used. The intended purpose of :py:class:`~typing.NewType` is to help you detect cases where you accidentally mixed together the old base type and the new derived type. For example, the following will successfully typecheck when using type aliases: .. code-block:: python UserId = int def name_by_id(user_id: UserId) -> str: ... name_by_id(3) # ints and UserId are synonymous But a similar example using :py:class:`~typing.NewType` will not typecheck: .. code-block:: python from typing import NewType UserId = NewType('UserId', int) def name_by_id(user_id: UserId) -> str: ... name_by_id(3) # int is not the same as UserId .. _function-overloading: Function overloading ******************** Sometimes the arguments and types in a function depend on each other in ways that can't be captured with a :ref:`union types `. For example, suppose we want to write a function that can accept x-y coordinates. If we pass in just a single x-y coordinate, we return a ``ClickEvent`` object. However, if we pass in two x-y coordinates, we return a ``DragEvent`` object. Our first attempt at writing this function might look like this: .. code-block:: python def mouse_event(x1: int, y1: int, x2: int | None = None, y2: int | None = None) -> ClickEvent | DragEvent: if x2 is None and y2 is None: return ClickEvent(x1, y1) elif x2 is not None and y2 is not None: return DragEvent(x1, y1, x2, y2) else: raise TypeError("Bad arguments") While this function signature works, it's too loose: it implies ``mouse_event`` could return either object regardless of the number of arguments we pass in. It also does not prohibit a caller from passing in the wrong number of ints: mypy would treat calls like ``mouse_event(1, 2, 20)`` as being valid, for example. We can do better by using :pep:`overloading <484#function-method-overloading>` which lets us give the same function multiple type annotations (signatures) to more accurately describe the function's behavior: .. code-block:: python from typing import overload # Overload *variants* for 'mouse_event'. # These variants give extra information to the type checker. # They are ignored at runtime. @overload def mouse_event(x1: int, y1: int) -> ClickEvent: ... @overload def mouse_event(x1: int, y1: int, x2: int, y2: int) -> DragEvent: ... # The actual *implementation* of 'mouse_event'. # The implementation contains the actual runtime logic. # # It may or may not have type hints. If it does, mypy # will check the body of the implementation against the # type hints. # # Mypy will also check and make sure the signature is # consistent with the provided variants. def mouse_event(x1: int, y1: int, x2: int | None = None, y2: int | None = None) -> ClickEvent | DragEvent: if x2 is None and y2 is None: return ClickEvent(x1, y1) elif x2 is not None and y2 is not None: return DragEvent(x1, y1, x2, y2) else: raise TypeError("Bad arguments") This allows mypy to understand calls to ``mouse_event`` much more precisely. For example, mypy will understand that ``mouse_event(5, 25)`` will always have a return type of ``ClickEvent`` and will report errors for calls like ``mouse_event(5, 25, 2)``. As another example, suppose we want to write a custom container class that implements the :py:meth:`__getitem__ ` method (``[]`` bracket indexing). If this method receives an integer we return a single item. If it receives a ``slice``, we return a :py:class:`~collections.abc.Sequence` of items. We can precisely encode this relationship between the argument and the return type by using overloads like so (Python 3.12 syntax): .. code-block:: python from collections.abc import Sequence from typing import overload class MyList[T](Sequence[T]): @overload def __getitem__(self, index: int) -> T: ... @overload def __getitem__(self, index: slice) -> Sequence[T]: ... def __getitem__(self, index: int | slice) -> T | Sequence[T]: if isinstance(index, int): # Return a T here elif isinstance(index, slice): # Return a sequence of Ts here else: raise TypeError(...) Here is the same example using the legacy syntax (Python 3.11 and earlier): .. code-block:: python from collections.abc import Sequence from typing import TypeVar, overload T = TypeVar('T') class MyList(Sequence[T]): @overload def __getitem__(self, index: int) -> T: ... @overload def __getitem__(self, index: slice) -> Sequence[T]: ... def __getitem__(self, index: int | slice) -> T | Sequence[T]: if isinstance(index, int): # Return a T here elif isinstance(index, slice): # Return a sequence of Ts here else: raise TypeError(...) .. note:: If you just need to constrain a type variable to certain types or subtypes, you can use a :ref:`value restriction `. The default values of a function's arguments don't affect its signature -- only the absence or presence of a default value does. So in order to reduce redundancy, it's possible to replace default values in overload definitions with ``...`` as a placeholder: .. code-block:: python from typing import overload class M: ... @overload def get_model(model_or_pk: M, flag: bool = ...) -> M: ... @overload def get_model(model_or_pk: int, flag: bool = ...) -> M | None: ... def get_model(model_or_pk: int | M, flag: bool = True) -> M | None: ... Runtime behavior ---------------- An overloaded function must consist of two or more overload *variants* followed by an *implementation*. The variants and the implementations must be adjacent in the code: think of them as one indivisible unit. The variant bodies must all be empty; only the implementation is allowed to contain code. This is because at runtime, the variants are completely ignored: they're overridden by the final implementation function. This means that an overloaded function is still an ordinary Python function! There is no automatic dispatch handling and you must manually handle the different types in the implementation (e.g. by using ``if`` statements and :py:func:`isinstance ` checks). If you are adding an overload within a stub file, the implementation function should be omitted: stubs do not contain runtime logic. .. note:: While we can leave the variant body empty using the ``pass`` keyword, the more common convention is to instead use the ellipsis (``...``) literal. Type checking calls to overloads -------------------------------- When you call an overloaded function, mypy will infer the correct return type by picking the best matching variant, after taking into consideration both the argument types and arity. However, a call is never type checked against the implementation. This is why mypy will report calls like ``mouse_event(5, 25, 3)`` as being invalid even though it matches the implementation signature. If there are multiple equally good matching variants, mypy will select the variant that was defined first. For example, consider the following program: .. code-block:: python # For Python 3.8 and below you must use `typing.List` instead of `list`. e.g. # from typing import List from typing import overload @overload def summarize(data: list[int]) -> float: ... @overload def summarize(data: list[str]) -> str: ... def summarize(data): if not data: return 0.0 elif isinstance(data[0], int): # Do int specific code else: # Do str-specific code # What is the type of 'output'? float or str? output = summarize([]) The ``summarize([])`` call matches both variants: an empty list could be either a ``list[int]`` or a ``list[str]``. In this case, mypy will break the tie by picking the first matching variant: ``output`` will have an inferred type of ``float``. The implementer is responsible for making sure ``summarize`` breaks ties in the same way at runtime. However, there are two exceptions to the "pick the first match" rule. First, if multiple variants match due to an argument being of type ``Any``, mypy will make the inferred type also be ``Any``: .. code-block:: python dynamic_var: Any = some_dynamic_function() # output2 is of type 'Any' output2 = summarize(dynamic_var) Second, if multiple variants match due to one or more of the arguments being a union, mypy will make the inferred type be the union of the matching variant returns: .. code-block:: python some_list: list[int] | list[str] # output3 is of type 'float | str' output3 = summarize(some_list) .. note:: Due to the "pick the first match" rule, changing the order of your overload variants can change how mypy type checks your program. To minimize potential issues, we recommend that you: 1. Make sure your overload variants are listed in the same order as the runtime checks (e.g. :py:func:`isinstance ` checks) in your implementation. 2. Order your variants and runtime checks from most to least specific. (See the following section for an example). Type checking the variants -------------------------- Mypy will perform several checks on your overload variant definitions to ensure they behave as expected. First, mypy will check and make sure that no overload variant is shadowing a subsequent one. For example, consider the following function which adds together two ``Expression`` objects, and contains a special-case to handle receiving two ``Literal`` types: .. code-block:: python from typing import overload class Expression: # ...snip... class Literal(Expression): # ...snip... # Warning -- the first overload variant shadows the second! @overload def add(left: Expression, right: Expression) -> Expression: ... @overload def add(left: Literal, right: Literal) -> Literal: ... def add(left: Expression, right: Expression) -> Expression: # ...snip... While this code snippet is technically type-safe, it does contain an anti-pattern: the second variant will never be selected! If we try calling ``add(Literal(3), Literal(4))``, mypy will always pick the first variant and evaluate the function call to be of type ``Expression``, not ``Literal``. This is because ``Literal`` is a subtype of ``Expression``, which means the "pick the first match" rule will always halt after considering the first overload. Because having an overload variant that can never be matched is almost certainly a mistake, mypy will report an error. To fix the error, we can either 1) delete the second overload or 2) swap the order of the overloads: .. code-block:: python # Everything is ok now -- the variants are correctly ordered # from most to least specific. @overload def add(left: Literal, right: Literal) -> Literal: ... @overload def add(left: Expression, right: Expression) -> Expression: ... def add(left: Expression, right: Expression) -> Expression: # ...snip... Mypy will also type check the different variants and flag any overloads that have inherently unsafely overlapping variants. For example, consider the following unsafe overload definition: .. code-block:: python from typing import overload @overload def unsafe_func(x: int) -> int: ... @overload def unsafe_func(x: object) -> str: ... def unsafe_func(x: object) -> int | str: if isinstance(x, int): return 42 else: return "some string" On the surface, this function definition appears to be fine. However, it will result in a discrepancy between the inferred type and the actual runtime type when we try using it like so: .. code-block:: python some_obj: object = 42 unsafe_func(some_obj) + " danger danger" # Type checks, yet crashes at runtime! Since ``some_obj`` is of type :py:class:`object`, mypy will decide that ``unsafe_func`` must return something of type ``str`` and concludes the above will type check. But in reality, ``unsafe_func`` will return an int, causing the code to crash at runtime! To prevent these kinds of issues, mypy will detect and prohibit inherently unsafely overlapping overloads on a best-effort basis. Two variants are considered unsafely overlapping when both of the following are true: 1. All of the arguments of the first variant are potentially compatible with the second. 2. The return type of the first variant is *not* compatible with (e.g. is not a subtype of) the second. So in this example, the ``int`` argument in the first variant is a subtype of the ``object`` argument in the second, yet the ``int`` return type is not a subtype of ``str``. Both conditions are true, so mypy will correctly flag ``unsafe_func`` as being unsafe. Note that in cases where you ignore the overlapping overload error, mypy will usually still infer the types you expect at callsites. However, mypy will not detect *all* unsafe uses of overloads. For example, suppose we modify the above snippet so it calls ``summarize`` instead of ``unsafe_func``: .. code-block:: python some_list: list[str] = [] summarize(some_list) + "danger danger" # Type safe, yet crashes at runtime! We run into a similar issue here. This program type checks if we look just at the annotations on the overloads. But since ``summarize(...)`` is designed to be biased towards returning a float when it receives an empty list, this program will actually crash during runtime. The reason mypy does not flag definitions like ``summarize`` as being potentially unsafe is because if it did, it would be extremely difficult to write a safe overload. For example, suppose we define an overload with two variants that accept types ``A`` and ``B`` respectively. Even if those two types were completely unrelated, the user could still potentially trigger a runtime error similar to the ones above by passing in a value of some third type ``C`` that inherits from both ``A`` and ``B``. Thankfully, these types of situations are relatively rare. What this does mean, however, is that you should exercise caution when designing or using an overloaded function that can potentially receive values that are an instance of two seemingly unrelated types. Type checking the implementation -------------------------------- The body of an implementation is type-checked against the type hints provided on the implementation. For example, in the ``MyList`` example up above, the code in the body is checked with argument list ``index: int | slice`` and a return type of ``T | Sequence[T]``. If there are no annotations on the implementation, then the body is not type checked. If you want to force mypy to check the body anyways, use the :option:`--check-untyped-defs ` flag (:ref:`more details here `). The variants must also also be compatible with the implementation type hints. In the ``MyList`` example, mypy will check that the parameter type ``int`` and the return type ``T`` are compatible with ``int | slice`` and ``T | Sequence`` for the first variant. For the second variant it verifies the parameter type ``slice`` and the return type ``Sequence[T]`` are compatible with ``int | slice`` and ``T | Sequence``. .. note:: The overload semantics documented above are new as of mypy 0.620. Previously, mypy used to perform type erasure on all overload variants. For example, the ``summarize`` example from the previous section used to be illegal because ``list[str]`` and ``list[int]`` both erased to just ``list[Any]``. This restriction was removed in mypy 0.620. Mypy also previously used to select the best matching variant using a different algorithm. If this algorithm failed to find a match, it would default to returning ``Any``. The new algorithm uses the "pick the first match" rule and will fall back to returning ``Any`` only if the input arguments also contain ``Any``. Conditional overloads --------------------- Sometimes it is useful to define overloads conditionally. Common use cases include types that are unavailable at runtime or that only exist in a certain Python version. All existing overload rules still apply. For example, there must be at least two overloads. .. note:: Mypy can only infer a limited number of conditions. Supported ones currently include :py:data:`~typing.TYPE_CHECKING`, ``MYPY``, :ref:`version_and_platform_checks`, :option:`--always-true `, and :option:`--always-false ` values. .. code-block:: python from typing import TYPE_CHECKING, Any, overload if TYPE_CHECKING: class A: ... class B: ... if TYPE_CHECKING: @overload def func(var: A) -> A: ... @overload def func(var: B) -> B: ... def func(var: Any) -> Any: return var reveal_type(func(A())) # Revealed type is "A" .. code-block:: python # flags: --python-version 3.10 import sys from typing import Any, overload class A: ... class B: ... class C: ... class D: ... if sys.version_info < (3, 7): @overload def func(var: A) -> A: ... elif sys.version_info >= (3, 10): @overload def func(var: B) -> B: ... else: @overload def func(var: C) -> C: ... @overload def func(var: D) -> D: ... def func(var: Any) -> Any: return var reveal_type(func(B())) # Revealed type is "B" reveal_type(func(C())) # No overload variant of "func" matches argument type "C" # Possible overload variants: # def func(var: B) -> B # def func(var: D) -> D # Revealed type is "Any" .. note:: In the last example, mypy is executed with :option:`--python-version 3.10 `. Therefore, the condition ``sys.version_info >= (3, 10)`` will match and the overload for ``B`` will be added. The overloads for ``A`` and ``C`` are ignored! The overload for ``D`` is not defined conditionally and thus is also added. When mypy cannot infer a condition to be always ``True`` or always ``False``, an error is emitted. .. code-block:: python from typing import Any, overload class A: ... class B: ... def g(bool_var: bool) -> None: if bool_var: # Condition can't be inferred, unable to merge overloads @overload def func(var: A) -> A: ... @overload def func(var: B) -> B: ... def func(var: Any) -> Any: ... reveal_type(func(A())) # Revealed type is "Any" .. _advanced_self: Advanced uses of self-types *************************** Normally, mypy doesn't require annotations for the first arguments of instance and class methods. However, they may be needed to have more precise static typing for certain programming patterns. Restricted methods in generic classes ------------------------------------- In generic classes some methods may be allowed to be called only for certain values of type arguments (Python 3.12 syntax): .. code-block:: python class Tag[T]: item: T def uppercase_item(self: Tag[str]) -> str: return self.item.upper() def label(ti: Tag[int], ts: Tag[str]) -> None: ti.uppercase_item() # E: Invalid self argument "Tag[int]" to attribute function # "uppercase_item" with type "Callable[[Tag[str]], str]" ts.uppercase_item() # This is OK This pattern also allows matching on nested types in situations where the type argument is itself generic (Python 3.12 syntax): .. code-block:: python from collections.abc import Sequence class Storage[T]: def __init__(self, content: T) -> None: self._content = content def first_chunk[S](self: Storage[Sequence[S]]) -> S: return self._content[0] page: Storage[list[str]] page.first_chunk() # OK, type is "str" Storage(0).first_chunk() # Error: Invalid self argument "Storage[int]" to attribute function # "first_chunk" with type "Callable[[Storage[Sequence[S]]], S]" Finally, one can use overloads on self-type to express precise types of some tricky methods (Python 3.12 syntax): .. code-block:: python from collections.abc import Callable from typing import overload class Tag[T]: @overload def export(self: Tag[str]) -> str: ... @overload def export(self, converter: Callable[[T], str]) -> str: ... def export(self, converter=None): if isinstance(self.item, str): return self.item return converter(self.item) In particular, an :py:meth:`~object.__init__` method overloaded on self-type may be useful to annotate generic class constructors where type arguments depend on constructor parameters in a non-trivial way, see e.g. :py:class:`~subprocess.Popen`. Mixin classes ------------- Using host class protocol as a self-type in mixin methods allows more code re-usability for static typing of mixin classes. For example, one can define a protocol that defines common functionality for host classes instead of adding required abstract methods to every mixin: .. code-block:: python class Lockable(Protocol): @property def lock(self) -> Lock: ... class AtomicCloseMixin: def atomic_close(self: Lockable) -> int: with self.lock: # perform actions class AtomicOpenMixin: def atomic_open(self: Lockable) -> int: with self.lock: # perform actions class File(AtomicCloseMixin, AtomicOpenMixin): def __init__(self) -> None: self.lock = Lock() class Bad(AtomicCloseMixin): pass f = File() b: Bad f.atomic_close() # OK b.atomic_close() # Error: Invalid self type for "atomic_close" Note that the explicit self-type is *required* to be a protocol whenever it is not a supertype of the current class. In this case mypy will check the validity of the self-type only at the call site. Precise typing of alternative constructors ------------------------------------------ Some classes may define alternative constructors. If these classes are generic, self-type allows giving them precise signatures (Python 3.12 syntax): .. code-block:: python from typing import Self class Base[T]: def __init__(self, item: T) -> None: self.item = item @classmethod def make_pair(cls, item: T) -> tuple[Self, Self]: return cls(item), cls(item) class Sub[T](Base[T]): ... pair = Sub.make_pair('yes') # Type is "tuple[Sub[str], Sub[str]]" bad = Sub[int].make_pair('no') # Error: Argument 1 to "make_pair" of "Base" # has incompatible type "str"; expected "int" .. _async-and-await: Typing async/await ****************** Mypy lets you type coroutines that use the ``async/await`` syntax. For more information regarding coroutines, see :pep:`492` and the `asyncio documentation `_. Functions defined using ``async def`` are typed similar to normal functions. The return type annotation should be the same as the type of the value you expect to get back when ``await``-ing the coroutine. .. code-block:: python import asyncio async def format_string(tag: str, count: int) -> str: return f'T-minus {count} ({tag})' async def countdown(tag: str, count: int) -> str: while count > 0: my_str = await format_string(tag, count) # type is inferred to be str print(my_str) await asyncio.sleep(0.1) count -= 1 return "Blastoff!" asyncio.run(countdown("Millennium Falcon", 5)) The result of calling an ``async def`` function *without awaiting* will automatically be inferred to be a value of type :py:class:`Coroutine[Any, Any, T] `, which is a subtype of :py:class:`Awaitable[T] `: .. code-block:: python my_coroutine = countdown("Millennium Falcon", 5) reveal_type(my_coroutine) # Revealed type is "typing.Coroutine[Any, Any, builtins.str]" .. _async-iterators: Asynchronous iterators ---------------------- If you have an asynchronous iterator, you can use the :py:class:`~collections.abc.AsyncIterator` type in your annotations: .. code-block:: python from collections.abc import AsyncIterator from typing import Optional import asyncio class arange: def __init__(self, start: int, stop: int, step: int) -> None: self.start = start self.stop = stop self.step = step self.count = start - step def __aiter__(self) -> AsyncIterator[int]: return self async def __anext__(self) -> int: self.count += self.step if self.count == self.stop: raise StopAsyncIteration else: return self.count async def run_countdown(tag: str, countdown: AsyncIterator[int]) -> str: async for i in countdown: print(f'T-minus {i} ({tag})') await asyncio.sleep(0.1) return "Blastoff!" asyncio.run(run_countdown("Serenity", arange(5, 0, -1))) Async generators (introduced in :pep:`525`) are an easy way to create async iterators: .. code-block:: python from collections.abc import AsyncGenerator from typing import Optional import asyncio # Could also type this as returning AsyncIterator[int] async def arange(start: int, stop: int, step: int) -> AsyncGenerator[int, None]: current = start while (step > 0 and current < stop) or (step < 0 and current > stop): yield current current += step asyncio.run(run_countdown("Battlestar Galactica", arange(5, 0, -1))) One common confusion is that the presence of a ``yield`` statement in an ``async def`` function has an effect on the type of the function: .. code-block:: python from collections.abc import AsyncIterator async def arange(stop: int) -> AsyncIterator[int]: # When called, arange gives you an async iterator # Equivalent to Callable[[int], AsyncIterator[int]] i = 0 while i < stop: yield i i += 1 async def coroutine(stop: int) -> AsyncIterator[int]: # When called, coroutine gives you something you can await to get an async iterator # Equivalent to Callable[[int], Coroutine[Any, Any, AsyncIterator[int]]] return arange(stop) async def main() -> None: reveal_type(arange(5)) # Revealed type is "typing.AsyncIterator[builtins.int]" reveal_type(coroutine(5)) # Revealed type is "typing.Coroutine[Any, Any, typing.AsyncIterator[builtins.int]]" await arange(5) # Error: Incompatible types in "await" (actual type "AsyncIterator[int]", expected type "Awaitable[Any]") reveal_type(await coroutine(5)) # Revealed type is "typing.AsyncIterator[builtins.int]" This can sometimes come up when trying to define base classes, Protocols or overloads: .. code-block:: python from collections.abc import AsyncIterator from typing import Protocol, overload class LauncherIncorrect(Protocol): # Because launch does not have yield, this has type # Callable[[], Coroutine[Any, Any, AsyncIterator[int]]] # instead of # Callable[[], AsyncIterator[int]] async def launch(self) -> AsyncIterator[int]: raise NotImplementedError class LauncherCorrect(Protocol): def launch(self) -> AsyncIterator[int]: raise NotImplementedError class LauncherAlsoCorrect(Protocol): async def launch(self) -> AsyncIterator[int]: raise NotImplementedError if False: yield 0 # The type of the overloads is independent of the implementation. # In particular, their type is not affected by whether or not the # implementation contains a `yield`. # Use of `def`` makes it clear the type is Callable[..., AsyncIterator[int]], # whereas with `async def` it would be Callable[..., Coroutine[Any, Any, AsyncIterator[int]]] @overload def launch(*, count: int = ...) -> AsyncIterator[int]: ... @overload def launch(*, time: float = ...) -> AsyncIterator[int]: ... async def launch(*, count: int = 0, time: float = 0) -> AsyncIterator[int]: # The implementation of launch is an async generator and contains a yield yield 0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/mypy_daemon.rst0000644000175100017510000003511315112307767017565 0ustar00runnerrunner.. _mypy_daemon: .. program:: dmypy Mypy daemon (mypy server) ========================= Instead of running mypy as a command-line tool, you can also run it as a long-running daemon (server) process and use a command-line client to send type-checking requests to the server. This way mypy can perform type checking much faster, since program state cached from previous runs is kept in memory and doesn't have to be read from the file system on each run. The server also uses finer-grained dependency tracking to reduce the amount of work that needs to be done. If you have a large codebase to check, running mypy using the mypy daemon can be *10 or more times faster* than the regular command-line ``mypy`` tool, especially if your workflow involves running mypy repeatedly after small edits -- which is often a good idea, as this way you'll find errors sooner. .. note:: The command-line interface of mypy daemon may change in future mypy releases. .. note:: Each mypy daemon process supports one user and one set of source files, and it can only process one type checking request at a time. You can run multiple mypy daemon processes to type check multiple repositories. Basic usage *********** The client utility ``dmypy`` is used to control the mypy daemon. Use ``dmypy run -- `` to type check a set of files (or directories). This will launch the daemon if it is not running. You can use almost arbitrary mypy flags after ``--``. The daemon will always run on the current host. Example:: dmypy run -- prog.py pkg/*.py ``dmypy run`` will automatically restart the daemon if the configuration or mypy version changes. The initial run will process all the code and may take a while to finish, but subsequent runs will be quick, especially if you've only changed a few files. (You can use :ref:`remote caching ` to speed up the initial run. The speedup can be significant if you have a large codebase.) .. note:: Mypy 0.780 added support for following imports in dmypy (enabled by default). This functionality is still experimental. You can use ``--follow-imports=skip`` or ``--follow-imports=error`` to fall back to the stable functionality. See :ref:`follow-imports` for details on how these work. .. note:: The mypy daemon requires ``--local-partial-types`` and automatically enables it. Daemon client commands ********************** While ``dmypy run`` is sufficient for most uses, some workflows (ones using :ref:`remote caching `, perhaps), require more precise control over the lifetime of the daemon process: * ``dmypy stop`` stops the daemon. * ``dmypy start -- `` starts the daemon but does not check any files. You can use almost arbitrary mypy flags after ``--``. * ``dmypy restart -- `` restarts the daemon. The flags are the same as with ``dmypy start``. This is equivalent to a stop command followed by a start. * Use ``dmypy run --timeout SECONDS -- `` (or ``start`` or ``restart``) to automatically shut down the daemon after inactivity. By default, the daemon runs until it's explicitly stopped. * ``dmypy check `` checks a set of files using an already running daemon. * ``dmypy recheck`` checks the same set of files as the most recent ``check`` or ``recheck`` command. (You can also use the :option:`--update` and :option:`--remove` options to alter the set of files, and to define which files should be processed.) * ``dmypy status`` checks whether a daemon is running. It prints a diagnostic and exits with ``0`` if there is a running daemon. Use ``dmypy --help`` for help on additional commands and command-line options not discussed here, and ``dmypy --help`` for help on command-specific options. Additional daemon flags *********************** .. option:: --status-file FILE Use ``FILE`` as the status file for storing daemon runtime state. This is normally a JSON file that contains information about daemon process and connection. The default path is ``.dmypy.json`` in the current working directory. .. option:: --log-file FILE Direct daemon stdout/stderr to ``FILE``. This is useful for debugging daemon crashes, since the server traceback is not always printed by the client. This is available for the ``start``, ``restart``, and ``run`` commands. .. option:: --timeout TIMEOUT Automatically shut down server after ``TIMEOUT`` seconds of inactivity. This is available for the ``start``, ``restart``, and ``run`` commands. .. option:: --update FILE Re-check ``FILE``, or add it to the set of files being checked (and check it). This option may be repeated, and it's only available for the ``recheck`` command. By default, mypy finds and checks all files changed since the previous run and files that depend on them. However, if you use this option (and/or :option:`--remove`), mypy assumes that only the explicitly specified files have changed. This is only useful to speed up mypy if you type check a very large number of files, and use an external, fast file system watcher, such as `watchman`_ or `watchdog`_, to determine which files got edited or deleted. *Note:* This option is never required and is only available for performance tuning. .. option:: --remove FILE Remove ``FILE`` from the set of files being checked. This option may be repeated. This is only available for the ``recheck`` command. See :option:`--update` above for when this may be useful. *Note:* This option is never required and is only available for performance tuning. .. option:: --fswatcher-dump-file FILE Collect information about the current internal file state. This is only available for the ``status`` command. This will dump JSON to ``FILE`` in the format ``{path: [modification_time, size, content_hash]}``. This is useful for debugging the built-in file system watcher. *Note:* This is an internal flag and the format may change. .. option:: --perf-stats-file FILE Write performance profiling information to ``FILE``. This is only available for the ``check``, ``recheck``, and ``run`` commands. .. option:: --export-types Store all expression types in memory for future use. This is useful to speed up future calls to ``dmypy inspect`` (but uses more memory). Only valid for ``check``, ``recheck``, and ``run`` command. Static inference of annotations ******************************* The mypy daemon supports (as an experimental feature) statically inferring draft function and method type annotations. Use ``dmypy suggest FUNCTION`` to generate a draft signature in the format ``(param_type_1, param_type_2, ...) -> ret_type`` (types are included for all arguments, including keyword-only arguments, ``*args`` and ``**kwargs``). This is a low-level feature intended to be used by editor integrations, IDEs, and other tools (for example, the `mypy plugin for PyCharm`_), to automatically add annotations to source files, or to propose function signatures. In this example, the function ``format_id()`` has no annotation: .. code-block:: python def format_id(user): return f"User: {user}" root = format_id(0) ``dmypy suggest`` uses call sites, return statements, and other heuristics (such as looking for signatures in base classes) to infer that ``format_id()`` accepts an ``int`` argument and returns a ``str``. Use ``dmypy suggest module.format_id`` to print the suggested signature for the function. More generally, the target function may be specified in two ways: * By its fully qualified name, i.e. ``[package.]module.[class.]function``. * By its location in a source file, i.e. ``/path/to/file.py:line``. The path can be absolute or relative, and ``line`` can refer to any line number within the function body. This command can also be used to find a more precise alternative for an existing, imprecise annotation with some ``Any`` types. The following flags customize various aspects of the ``dmypy suggest`` command. .. option:: --json Output the signature as JSON, so that `PyAnnotate`_ can read it and add the signature to the source file. Here is what the JSON looks like: .. code-block:: python [{"func_name": "example.format_id", "line": 1, "path": "/absolute/path/to/example.py", "samples": 0, "signature": {"arg_types": ["int"], "return_type": "str"}}] .. option:: --no-errors Only produce suggestions that cause no errors in the checked code. By default, mypy will try to find the most precise type, even if it causes some type errors. .. option:: --no-any Only produce suggestions that don't contain ``Any`` types. By default mypy proposes the most precise signature found, even if it contains ``Any`` types. .. option:: --flex-any FRACTION Only allow some fraction of types in the suggested signature to be ``Any`` types. The fraction ranges from ``0`` (same as ``--no-any``) to ``1``. .. option:: --callsites Only find call sites for a given function instead of suggesting a type. This will produce a list with line numbers and types of actual arguments for each call: ``/path/to/file.py:line: (arg_type_1, arg_type_2, ...)``. .. option:: --use-fixme NAME Use a dummy name instead of plain ``Any`` for types that cannot be inferred. This may be useful to emphasize to a user that a given type couldn't be inferred and needs to be entered manually. .. option:: --max-guesses NUMBER Set the maximum number of types to try for a function (default: ``64``). Statically inspect expressions ****************************** The daemon allows one to get the declared or inferred type of an expression (or other information about an expression, such as known attributes or definition location) using the ``dmypy inspect LOCATION`` command. The location of the expression should be specified in the format ``path/to/file.py:line:column[:end_line:end_column]``. Both line and column are 1-based. Both start and end position are inclusive. These rules match how mypy prints the error location in error messages. If a span is given (i.e. all 4 numbers), then only an exactly matching expression is inspected. If only a position is given (i.e. 2 numbers, line and column), mypy will inspect all expressions that include this position, starting from the innermost one. Consider this Python code snippet: .. code-block:: python def foo(x: int, longer_name: str) -> None: x longer_name Here to find the type of ``x`` one needs to call ``dmypy inspect src.py:2:5:2:5`` or ``dmypy inspect src.py:2:5``. While for ``longer_name`` one needs to call ``dmypy inspect src.py:3:5:3:15`` or, for example, ``dmypy inspect src.py:3:10``. Please note that this command is only valid after daemon had a successful type check (without parse errors), so that types are populated, e.g. using ``dmypy check``. In case where multiple expressions match the provided location, their types are returned separated by a newline. Important note: it is recommended to check files with :option:`--export-types` since otherwise most inspections will not work without :option:`--force-reload`. .. option:: --show INSPECTION What kind of inspection to run for expression(s) found. Currently the supported inspections are: * ``type`` (default): Show the best known type of a given expression. * ``attrs``: Show which attributes are valid for an expression (e.g. for auto-completion). Format is ``{"Base1": ["name_1", "name_2", ...]; "Base2": ...}``. Names are sorted by method resolution order. If expression refers to a module, then module attributes will be under key like ``""``. * ``definition`` (experimental): Show the definition location for a name expression or member expression. Format is ``path/to/file.py:line:column:Symbol``. If multiple definitions are found (e.g. for a Union attribute), they are separated by comma. .. option:: --verbose Increase verbosity of types string representation (can be repeated). For example, this will print fully qualified names of instance types (like ``"builtins.str"``), instead of just a short name (like ``"str"``). .. option:: --limit NUM If the location is given as ``line:column``, this will cause daemon to return only at most ``NUM`` inspections of innermost expressions. Value of 0 means no limit (this is the default). For example, if one calls ``dmypy inspect src.py:4:10 --limit=1`` with this code .. code-block:: python def foo(x: int) -> str: .. def bar(x: str) -> None: ... baz: int bar(foo(baz)) This will output just one type ``"int"`` (for ``baz`` name expression). While without the limit option, it would output all three types: ``"int"``, ``"str"``, and ``"None"``. .. option:: --include-span With this option on, the daemon will prepend each inspection result with the full span of corresponding expression, formatted as ``1:2:1:4 -> "int"``. This may be useful in case multiple expressions match a location. .. option:: --include-kind With this option on, the daemon will prepend each inspection result with the kind of corresponding expression, formatted as ``NameExpr -> "int"``. If both this option and :option:`--include-span` are on, the kind will appear first, for example ``NameExpr:1:2:1:4 -> "int"``. .. option:: --include-object-attrs This will make the daemon include attributes of ``object`` (excluded by default) in case of an ``atts`` inspection. .. option:: --union-attrs Include attributes valid for some of possible expression types (by default an intersection is returned). This is useful for union types of type variables with values. For example, with this code: .. code-block:: python from typing import Union class A: x: int z: int class B: y: int z: int var: Union[A, B] var The command ``dmypy inspect --show attrs src.py:10:1`` will return ``{"A": ["z"], "B": ["z"]}``, while with ``--union-attrs`` it will return ``{"A": ["x", "z"], "B": ["y", "z"]}``. .. option:: --force-reload Force re-parsing and re-type-checking file before inspection. By default this is done only when needed (for example file was not loaded from cache or daemon was initially run without ``--export-types`` mypy option), since reloading may be slow (up to few seconds for very large files). .. TODO: Add similar section about find usages when added, and then move this to a separate file. .. _watchman: https://facebook.github.io/watchman/ .. _watchdog: https://pypi.org/project/watchdog/ .. _PyAnnotate: https://github.com/dropbox/pyannotate .. _mypy plugin for PyCharm: https://github.com/dropbox/mypy-PyCharm-plugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/mypy_light.svg0000644000175100017510000002076615112307767017430 0ustar00runnerrunner image/svg+xml ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/protocols.rst0000644000175100017510000004370315112307767017274 0ustar00runnerrunner.. _protocol-types: Protocols and structural subtyping ================================== The Python type system supports two ways of deciding whether two objects are compatible as types: nominal subtyping and structural subtyping. *Nominal* subtyping is strictly based on the class hierarchy. If class ``Dog`` inherits class ``Animal``, it's a subtype of ``Animal``. Instances of ``Dog`` can be used when ``Animal`` instances are expected. This form of subtyping is what Python's type system predominantly uses: it's easy to understand and produces clear and concise error messages, and matches how the native :py:func:`isinstance ` check works -- based on class hierarchy. *Structural* subtyping is based on the operations that can be performed with an object. Class ``Dog`` is a structural subtype of class ``Animal`` if the former has all attributes and methods of the latter, and with compatible types. Structural subtyping can be seen as a static equivalent of duck typing, which is well known to Python programmers. See :pep:`544` for the detailed specification of protocols and structural subtyping in Python. .. _predefined_protocols: Predefined protocols ******************** The :py:mod:`collections.abc`, :py:mod:`typing` and other stdlib modules define various protocol classes that correspond to common Python protocols, such as :py:class:`Iterable[T] `. If a class defines a suitable :py:meth:`__iter__ ` method, mypy understands that it implements the iterable protocol and is compatible with :py:class:`Iterable[T] `. For example, ``IntList`` below is iterable, over ``int`` values: .. code-block:: python from __future__ import annotations from collections.abc import Iterator, Iterable class IntList: def __init__(self, value: int, next: IntList | None) -> None: self.value = value self.next = next def __iter__(self) -> Iterator[int]: current = self while current: yield current.value current = current.next def print_numbered(items: Iterable[int]) -> None: for n, x in enumerate(items): print(n + 1, x) x = IntList(3, IntList(5, None)) print_numbered(x) # OK print_numbered([4, 5]) # Also OK :ref:`predefined_protocols_reference` lists various protocols defined in :py:mod:`collections.abc` and :py:mod:`typing` and the signatures of the corresponding methods you need to define to implement each protocol. .. note:: ``typing`` also contains deprecated aliases to protocols and ABCs defined in :py:mod:`collections.abc`, such as :py:class:`Iterable[T] `. These are only necessary in Python 3.8 and earlier, since the protocols in ``collections.abc`` didn't yet support subscripting (``[]``) in Python 3.8, but the aliases in ``typing`` have always supported subscripting. In Python 3.9 and later, the aliases in ``typing`` don't provide any extra functionality. Simple user-defined protocols ***************************** You can define your own protocol class by inheriting the special ``Protocol`` class: .. code-block:: python from collections.abc import Iterable from typing import Protocol class SupportsClose(Protocol): # Empty method body (explicit '...') def close(self) -> None: ... class Resource: # No SupportsClose base class! def close(self) -> None: self.resource.release() # ... other methods ... def close_all(items: Iterable[SupportsClose]) -> None: for item in items: item.close() close_all([Resource(), open('some/file')]) # OK ``Resource`` is a subtype of the ``SupportsClose`` protocol since it defines a compatible ``close`` method. Regular file objects returned by :py:func:`open` are similarly compatible with the protocol, as they support ``close()``. Defining subprotocols and subclassing protocols *********************************************** You can also define subprotocols. Existing protocols can be extended and merged using multiple inheritance. Example: .. code-block:: python # ... continuing from the previous example class SupportsRead(Protocol): def read(self, amount: int) -> bytes: ... class TaggedReadableResource(SupportsClose, SupportsRead, Protocol): label: str class AdvancedResource(Resource): def __init__(self, label: str) -> None: self.label = label def read(self, amount: int) -> bytes: # some implementation ... resource: TaggedReadableResource resource = AdvancedResource('handle with care') # OK Note that inheriting from an existing protocol does not automatically turn the subclass into a protocol -- it just creates a regular (non-protocol) class or ABC that implements the given protocol (or protocols). The ``Protocol`` base class must always be explicitly present if you are defining a protocol: .. code-block:: python class NotAProtocol(SupportsClose): # This is NOT a protocol new_attr: int class Concrete: new_attr: int = 0 def close(self) -> None: ... # Error: nominal subtyping used by default x: NotAProtocol = Concrete() # Error! You can also include default implementations of methods in protocols. If you explicitly subclass these protocols you can inherit these default implementations. Explicitly including a protocol as a base class is also a way of documenting that your class implements a particular protocol, and it forces mypy to verify that your class implementation is actually compatible with the protocol. In particular, omitting a value for an attribute or a method body will make it implicitly abstract: .. code-block:: python class SomeProto(Protocol): attr: int # Note, no right hand side def method(self) -> str: ... # Literally just ... here class ExplicitSubclass(SomeProto): pass ExplicitSubclass() # error: Cannot instantiate abstract class 'ExplicitSubclass' # with abstract attributes 'attr' and 'method' Similarly, explicitly assigning to a protocol instance can be a way to ask the type checker to verify that your class implements a protocol: .. code-block:: python _proto: SomeProto = cast(ExplicitSubclass, None) Invariance of protocol attributes ********************************* A common issue with protocols is that protocol attributes are invariant. For example: .. code-block:: python class Box(Protocol): content: object class IntBox: content: int def takes_box(box: Box) -> None: ... takes_box(IntBox()) # error: Argument 1 to "takes_box" has incompatible type "IntBox"; expected "Box" # note: Following member(s) of "IntBox" have conflicts: # note: content: expected "object", got "int" This is because ``Box`` defines ``content`` as a mutable attribute. Here's why this is problematic: .. code-block:: python def takes_box_evil(box: Box) -> None: box.content = "asdf" # This is bad, since box.content is supposed to be an object my_int_box = IntBox() takes_box_evil(my_int_box) my_int_box.content + 1 # Oops, TypeError! This can be fixed by declaring ``content`` to be read-only in the ``Box`` protocol using ``@property``: .. code-block:: python class Box(Protocol): @property def content(self) -> object: ... class IntBox: content: int def takes_box(box: Box) -> None: ... takes_box(IntBox(42)) # OK Recursive protocols ******************* Protocols can be recursive (self-referential) and mutually recursive. This is useful for declaring abstract recursive collections such as trees and linked lists: .. code-block:: python from __future__ import annotations from typing import Protocol class TreeLike(Protocol): value: int @property def left(self) -> TreeLike | None: ... @property def right(self) -> TreeLike | None: ... class SimpleTree: def __init__(self, value: int) -> None: self.value = value self.left: SimpleTree | None = None self.right: SimpleTree | None = None root: TreeLike = SimpleTree(0) # OK Using isinstance() with protocols ********************************* You can use a protocol class with :py:func:`isinstance` if you decorate it with the ``@runtime_checkable`` class decorator. The decorator adds rudimentary support for runtime structural checks: .. code-block:: python from typing import Protocol, runtime_checkable @runtime_checkable class Portable(Protocol): handles: int class Mug: def __init__(self) -> None: self.handles = 1 def use(handles: int) -> None: ... mug = Mug() if isinstance(mug, Portable): # Works at runtime! use(mug.handles) :py:func:`isinstance` also works with the :ref:`predefined protocols ` in :py:mod:`typing` such as :py:class:`~typing.Iterable`. .. warning:: :py:func:`isinstance` with protocols is not completely safe at runtime. For example, signatures of methods are not checked. The runtime implementation only checks that all protocol members exist, not that they have the correct type. :py:func:`issubclass` with protocols will only check for the existence of methods. .. note:: :py:func:`isinstance` with protocols can also be surprisingly slow. In many cases, you're better served by using :py:func:`hasattr` to check for the presence of attributes. .. _callback_protocols: Callback protocols ****************** Protocols can be used to define flexible callback types that are hard (or even impossible) to express using the :py:class:`Callable[...] ` syntax, such as variadic, overloaded, and complex generic callbacks. They are defined with a special :py:meth:`__call__ ` member: .. code-block:: python from collections.abc import Iterable from typing import Optional, Protocol class Combiner(Protocol): def __call__(self, *vals: bytes, maxlen: int | None = None) -> list[bytes]: ... def batch_proc(data: Iterable[bytes], cb_results: Combiner) -> bytes: for item in data: ... def good_cb(*vals: bytes, maxlen: int | None = None) -> list[bytes]: ... def bad_cb(*vals: bytes, maxitems: int | None) -> list[bytes]: ... batch_proc([], good_cb) # OK batch_proc([], bad_cb) # Error! Argument 2 has incompatible type because of # different name and kind in the callback Callback protocols and :py:class:`~collections.abc.Callable` types can be used mostly interchangeably. Parameter names in :py:meth:`__call__ ` methods must be identical, unless the parameters are positional-only. Example (using the legacy syntax for generic functions): .. code-block:: python from collections.abc import Callable from typing import Protocol, TypeVar T = TypeVar('T') class Copy(Protocol): # '/' marks the end of positional-only parameters def __call__(self, origin: T, /) -> T: ... copy_a: Callable[[T], T] copy_b: Copy copy_a = copy_b # OK copy_b = copy_a # Also OK Binding of types in protocol attributes *************************************** All protocol attributes annotations are treated as externally visible types of those attributes. This means that for example callables are not bound, and descriptors are not invoked: .. code-block:: python from typing import Callable, Protocol, overload class Integer: @overload def __get__(self, instance: None, owner: object) -> Integer: ... @overload def __get__(self, instance: object, owner: object) -> int: ... # class Example(Protocol): foo: Callable[[object], int] bar: Integer ex: Example reveal_type(ex.foo) # Revealed type is Callable[[object], int] reveal_type(ex.bar) # Revealed type is Integer In other words, protocol attribute types are handled as they would appear in a ``self`` attribute annotation in a regular class. If you want some protocol attributes to be handled as though they were defined at class level, you should declare them explicitly using ``ClassVar[...]``. Continuing previous example: .. code-block:: python from typing import ClassVar class OtherExample(Protocol): # This style is *not recommended*, but may be needed to reuse # some complex callable types. Otherwise use regular methods. foo: ClassVar[Callable[[object], int]] # This may be needed to mimic descriptor access on Type[...] types, # otherwise use a plain "bar: int" style. bar: ClassVar[Integer] ex2: OtherExample reveal_type(ex2.foo) # Revealed type is Callable[[], int] reveal_type(ex2.bar) # Revealed type is int .. _predefined_protocols_reference: Predefined protocol reference ***************************** Iteration protocols ................... The iteration protocols are useful in many contexts. For example, they allow iteration of objects in for loops. collections.abc.Iterable[T] --------------------------- The :ref:`example above ` has a simple implementation of an :py:meth:`__iter__ ` method. .. code-block:: python def __iter__(self) -> Iterator[T] See also :py:class:`~collections.abc.Iterable`. collections.abc.Iterator[T] --------------------------- .. code-block:: python def __next__(self) -> T def __iter__(self) -> Iterator[T] See also :py:class:`~collections.abc.Iterator`. Collection protocols .................... Many of these are implemented by built-in container types such as :py:class:`list` and :py:class:`dict`, and these are also useful for user-defined collection objects. collections.abc.Sized --------------------- This is a type for objects that support :py:func:`len(x) `. .. code-block:: python def __len__(self) -> int See also :py:class:`~collections.abc.Sized`. collections.abc.Container[T] ---------------------------- This is a type for objects that support the ``in`` operator. .. code-block:: python def __contains__(self, x: object) -> bool See also :py:class:`~collections.abc.Container`. collections.abc.Collection[T] ----------------------------- .. code-block:: python def __len__(self) -> int def __iter__(self) -> Iterator[T] def __contains__(self, x: object) -> bool See also :py:class:`~collections.abc.Collection`. One-off protocols ................. These protocols are typically only useful with a single standard library function or class. collections.abc.Reversible[T] ----------------------------- This is a type for objects that support :py:func:`reversed(x) `. .. code-block:: python def __reversed__(self) -> Iterator[T] See also :py:class:`~collections.abc.Reversible`. typing.SupportsAbs[T] --------------------- This is a type for objects that support :py:func:`abs(x) `. ``T`` is the type of value returned by :py:func:`abs(x) `. .. code-block:: python def __abs__(self) -> T See also :py:class:`~typing.SupportsAbs`. typing.SupportsBytes -------------------- This is a type for objects that support :py:class:`bytes(x) `. .. code-block:: python def __bytes__(self) -> bytes See also :py:class:`~typing.SupportsBytes`. .. _supports-int-etc: typing.SupportsComplex ---------------------- This is a type for objects that support :py:class:`complex(x) `. Note that no arithmetic operations are supported. .. code-block:: python def __complex__(self) -> complex See also :py:class:`~typing.SupportsComplex`. typing.SupportsFloat -------------------- This is a type for objects that support :py:class:`float(x) `. Note that no arithmetic operations are supported. .. code-block:: python def __float__(self) -> float See also :py:class:`~typing.SupportsFloat`. typing.SupportsInt ------------------ This is a type for objects that support :py:class:`int(x) `. Note that no arithmetic operations are supported. .. code-block:: python def __int__(self) -> int See also :py:class:`~typing.SupportsInt`. typing.SupportsRound[T] ----------------------- This is a type for objects that support :py:func:`round(x) `. .. code-block:: python def __round__(self) -> T See also :py:class:`~typing.SupportsRound`. Async protocols ............... These protocols can be useful in async code. See :ref:`async-and-await` for more information. collections.abc.Awaitable[T] ---------------------------- .. code-block:: python def __await__(self) -> Generator[Any, None, T] See also :py:class:`~collections.abc.Awaitable`. collections.abc.AsyncIterable[T] -------------------------------- .. code-block:: python def __aiter__(self) -> AsyncIterator[T] See also :py:class:`~collections.abc.AsyncIterable`. collections.abc.AsyncIterator[T] -------------------------------- .. code-block:: python def __anext__(self) -> Awaitable[T] def __aiter__(self) -> AsyncIterator[T] See also :py:class:`~collections.abc.AsyncIterator`. Context manager protocols ......................... There are two protocols for context managers -- one for regular context managers and one for async ones. These allow defining objects that can be used in ``with`` and ``async with`` statements. contextlib.AbstractContextManager[T] ------------------------------------ .. code-block:: python def __enter__(self) -> T def __exit__(self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None) -> bool | None See also :py:class:`~contextlib.AbstractContextManager`. contextlib.AbstractAsyncContextManager[T] ----------------------------------------- .. code-block:: python def __aenter__(self) -> Awaitable[T] def __aexit__(self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None) -> Awaitable[bool | None] See also :py:class:`~contextlib.AbstractAsyncContextManager`. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/running_mypy.rst0000644000175100017510000006124015112307767020002 0ustar00runnerrunner.. _running-mypy: Running mypy and managing imports ================================= The :ref:`getting-started` page should have already introduced you to the basics of how to run mypy -- pass in the files and directories you want to type check via the command line:: $ mypy foo.py bar.py some_directory This page discusses in more detail how exactly to specify what files you want mypy to type check, how mypy discovers imported modules, and recommendations on how to handle any issues you may encounter along the way. If you are interested in learning about how to configure the actual way mypy type checks your code, see our :ref:`command-line` guide. .. _specifying-code-to-be-checked: Specifying code to be checked ***************************** Mypy lets you specify what files it should type check in several different ways. 1. First, you can pass in paths to Python files and directories you want to type check. For example:: $ mypy file_1.py foo/file_2.py file_3.pyi some/directory The above command tells mypy it should type check all of the provided files together. In addition, mypy will recursively type check the entire contents of any provided directories. For more details about how exactly this is done, see :ref:`Mapping file paths to modules `. 2. Second, you can use the :option:`-m ` flag (long form: :option:`--module `) to specify a module name to be type checked. The name of a module is identical to the name you would use to import that module within a Python program. For example, running:: $ mypy -m html.parser ...will type check the module ``html.parser`` (this happens to be a library stub). Mypy will use an algorithm very similar to the one Python uses to find where modules and imports are located on the file system. For more details, see :ref:`finding-imports`. 3. Third, you can use the :option:`-p ` (long form: :option:`--package `) flag to specify a package to be (recursively) type checked. This flag is almost identical to the :option:`-m ` flag except that if you give it a package name, mypy will recursively type check all submodules and subpackages of that package. For example, running:: $ mypy -p html ...will type check the entire ``html`` package (of library stubs). In contrast, if we had used the :option:`-m ` flag, mypy would have type checked just ``html``'s ``__init__.py`` file and anything imported from there. Note that we can specify multiple packages and modules on the command line. For example:: $ mypy --package p.a --package p.b --module c 4. Fourth, you can also instruct mypy to directly type check small strings as programs by using the :option:`-c ` (long form: :option:`--command `) flag. For example:: $ mypy -c 'x = [1, 2]; print(x())' ...will type check the above string as a mini-program (and in this case, will report that ``list[int]`` is not callable). You can also use the :confval:`files` option in your :file:`mypy.ini` file to specify which files to check, in which case you can simply run ``mypy`` with no arguments. Reading a list of files from a file *********************************** Finally, any command-line argument starting with ``@`` reads additional command-line arguments from the file following the ``@`` character. This is primarily useful if you have a file containing a list of files that you want to be type-checked: instead of using shell syntax like:: $ mypy $(cat file_of_files.txt) you can use this instead:: $ mypy @file_of_files.txt This file can technically also contain any command line flag, not just file paths. However, if you want to configure many different flags, the recommended approach is to use a :ref:`configuration file ` instead. .. _mapping-paths-to-modules: Mapping file paths to modules ***************************** One of the main ways you can tell mypy what to type check is by providing mypy a list of paths. For example:: $ mypy file_1.py foo/file_2.py file_3.pyi some/directory This section describes how exactly mypy maps the provided paths to modules to type check. - Mypy will check all paths provided that correspond to files. - Mypy will recursively discover and check all files ending in ``.py`` or ``.pyi`` in directory paths provided, after accounting for :option:`--exclude `. - For each file to be checked, mypy will attempt to associate the file (e.g. ``project/foo/bar/baz.py``) with a fully qualified module name (e.g. ``foo.bar.baz``). The directory the package is in (``project``) is then added to mypy's module search paths. How mypy determines fully qualified module names depends on if the options :option:`--no-namespace-packages ` and :option:`--explicit-package-bases ` are set. 1. If :option:`--no-namespace-packages ` is set, mypy will rely solely upon the presence of ``__init__.py[i]`` files to determine the fully qualified module name. That is, mypy will crawl up the directory tree for as long as it continues to find ``__init__.py`` (or ``__init__.pyi``) files. For example, if your directory tree consists of ``pkg/subpkg/mod.py``, mypy would require ``pkg/__init__.py`` and ``pkg/subpkg/__init__.py`` to exist in order correctly associate ``mod.py`` with ``pkg.subpkg.mod`` 2. The default case. If :option:`--namespace-packages ` is on, but :option:`--explicit-package-bases ` is off, mypy will allow for the possibility that directories without ``__init__.py[i]`` are packages. Specifically, mypy will look at all parent directories of the file and use the location of the highest ``__init__.py[i]`` in the directory tree to determine the top-level package. For example, say your directory tree consists solely of ``pkg/__init__.py`` and ``pkg/a/b/c/d/mod.py``. When determining ``mod.py``'s fully qualified module name, mypy will look at ``pkg/__init__.py`` and conclude that the associated module name is ``pkg.a.b.c.d.mod``. 3. You'll notice that the above case still relies on ``__init__.py``. If you can't put an ``__init__.py`` in your top-level package, but still wish to pass paths (as opposed to packages or modules using the ``-p`` or ``-m`` flags), :option:`--explicit-package-bases ` provides a solution. With :option:`--explicit-package-bases `, mypy will locate the nearest parent directory that is a member of the ``MYPYPATH`` environment variable, the :confval:`mypy_path` config or is the current working directory. Mypy will then use the relative path to determine the fully qualified module name. For example, say your directory tree consists solely of ``src/namespace_pkg/mod.py``. If you run the following command, mypy will correctly associate ``mod.py`` with ``namespace_pkg.mod``:: $ MYPYPATH=src mypy --namespace-packages --explicit-package-bases . If you pass a file not ending in ``.py[i]``, the module name assumed is ``__main__`` (matching the behavior of the Python interpreter), unless :option:`--scripts-are-modules ` is passed. Passing :option:`-v ` will show you the files and associated module names that mypy will check. How mypy handles imports ************************ When mypy encounters an ``import`` statement, it will first :ref:`attempt to locate ` that module or type stubs for that module in the file system. Mypy will then type check the imported module. There are three different outcomes of this process: 1. Mypy is unable to follow the import: the module either does not exist, or is a third party library that does not use type hints. 2. Mypy is able to follow and type check the import, but you did not want mypy to type check that module at all. 3. Mypy is able to successfully both follow and type check the module, and you want mypy to type check that module. The third outcome is what mypy will do in the ideal case. The following sections will discuss what to do in the other two cases. .. _ignore-missing-imports: .. _fix-missing-imports: Missing imports *************** When you import a module, mypy may report that it is unable to follow the import. This can cause errors that look like the following: .. code-block:: text main.py:1: error: Skipping analyzing 'django': module is installed, but missing library stubs or py.typed marker main.py:2: error: Library stubs not installed for "requests" main.py:3: error: Cannot find implementation or library stub for module named "this_module_does_not_exist" If you get any of these errors on an import, mypy will assume the type of that module is ``Any``, the dynamic type. This means attempting to access any attribute of the module will automatically succeed: .. code-block:: python # Error: Cannot find implementation or library stub for module named 'does_not_exist' import does_not_exist # But this type checks, and x will have type 'Any' x = does_not_exist.foobar() This can result in mypy failing to warn you about errors in your code. Since operations on ``Any`` result in ``Any``, these dynamic types can propagate through your code, making type checking less effective. See :ref:`dynamic-typing` for more information. The next sections describe what each of these errors means and recommended next steps; scroll to the section that matches your error. Missing library stubs or py.typed marker ---------------------------------------- If you are getting a ``Skipping analyzing X: module is installed, but missing library stubs or py.typed marker``, error, this means mypy was able to find the module you were importing, but no corresponding type hints. Mypy will not try inferring the types of any 3rd party libraries you have installed unless they either have declared themselves to be :ref:`PEP 561 compliant stub package ` (e.g. with a ``py.typed`` file) or have registered themselves on `typeshed `_, the repository of types for the standard library and some 3rd party libraries. If you are getting this error, try to obtain type hints for the library you're using: 1. Upgrading the version of the library you're using, in case a newer version has started to include type hints. 2. Searching to see if there is a :ref:`PEP 561 compliant stub package ` corresponding to your third party library. Stub packages let you install type hints independently from the library itself. For example, if you want type hints for the ``django`` library, you can install the `django-stubs `_ package. 3. :ref:`Writing your own stub files ` containing type hints for the library. You can point mypy at your type hints either by passing them in via the command line, by using the :confval:`files` or :confval:`mypy_path` config file options, or by adding the location to the ``MYPYPATH`` environment variable. These stub files do not need to be complete! A good strategy is to use :ref:`stubgen `, a program that comes bundled with mypy, to generate a first rough draft of the stubs. You can then iterate on just the parts of the library you need. If you want to share your work, you can try contributing your stubs back to the library -- see our documentation on creating :ref:`PEP 561 compliant packages `. 4. Force mypy to analyze the library as best as it can (as if the library provided a ``py.typed`` file), despite it likely missing any type annotations. In general, the quality of type checking will be poor and mypy may have issues when analyzing code not designed to be type checked. You can do this via setting the :option:`--follow-untyped-imports ` command line flag or :confval:`follow_untyped_imports` config file option to True. This option can be specified on a per-module basis as well: .. tab:: mypy.ini .. code-block:: ini [mypy-untyped_package.*] follow_untyped_imports = True .. tab:: pyproject.toml .. code-block:: toml [[tool.mypy.overrides]] module = ["untyped_package.*"] follow_untyped_imports = true If you are unable to find any existing type hints nor have time to write your own, you can instead *suppress* the errors. All this will do is make mypy stop reporting an error on the line containing the import: the imported module will continue to be of type ``Any``, and mypy may not catch errors in its use. 1. To suppress a *single* missing import error, add a ``# type: ignore`` at the end of the line containing the import. 2. To suppress *all* missing import errors from a single library, add a per-module section to your :ref:`mypy config file ` setting :confval:`ignore_missing_imports` to True for that library. For example, suppose your codebase makes heavy use of an (untyped) library named ``foobar``. You can silence all import errors associated with that library and that library alone by adding the following section to your config file: .. tab:: mypy.ini .. code-block:: ini [mypy-foobar.*] ignore_missing_imports = True .. tab:: pyproject.toml .. code-block:: toml [[tool.mypy.overrides]] module = ["foobar.*"] ignore_missing_imports = true Note: this option is equivalent to adding a ``# type: ignore`` to every import of ``foobar`` in your codebase. For more information, see the documentation about configuring :ref:`import discovery ` in config files. The ``.*`` after ``foobar`` will ignore imports of ``foobar`` modules and subpackages in addition to the ``foobar`` top-level package namespace. 3. To suppress *all* missing import errors for *all* untyped libraries in your codebase, use :option:`--disable-error-code=import-untyped `. See :ref:`code-import-untyped` for more details on this error code. You can also set :confval:`disable_error_code`, like so: .. tab:: mypy.ini .. code-block:: ini [mypy] disable_error_code = import-untyped .. tab:: pyproject.toml .. code-block:: ini [tool.mypy] disable_error_code = ["import-untyped"] You can also set the :option:`--ignore-missing-imports ` command line flag or set the :confval:`ignore_missing_imports` config file option to True in the *global* section of your mypy config file. We recommend avoiding ``--ignore-missing-imports`` if possible: it's equivalent to adding a ``# type: ignore`` to all unresolved imports in your codebase. Library stubs not installed --------------------------- If mypy can't find stubs for a third-party library, and it knows that stubs exist for the library, you will get a message like this: .. code-block:: text main.py:1: error: Library stubs not installed for "yaml" main.py:1: note: Hint: "python3 -m pip install types-PyYAML" main.py:1: note: (or run "mypy --install-types" to install all missing stub packages) You can resolve the issue by running the suggested pip commands. If you're running mypy in CI, you can ensure the presence of any stub packages you need the same as you would any other test dependency, e.g. by adding them to the appropriate ``requirements.txt`` file. Alternatively, add the :option:`--install-types ` to your mypy command to install all known missing stubs: .. code-block:: text mypy --install-types This is slower than explicitly installing stubs, since it effectively runs mypy twice -- the first time to find the missing stubs, and the second time to type check your code properly after mypy has installed the stubs. It also can make controlling stub versions harder, resulting in less reproducible type checking. By default, :option:`--install-types ` shows a confirmation prompt. Use :option:`--non-interactive ` to install all suggested stub packages without asking for confirmation *and* type check your code: If you've already installed the relevant third-party libraries in an environment other than the one mypy is running in, you can use :option:`--python-executable ` flag to point to the Python executable for that environment, and mypy will find packages installed for that Python executable. If you've installed the relevant stub packages and are still getting this error, see the :ref:`section below `. .. _missing-type-hints-for-third-party-library: Cannot find implementation or library stub ------------------------------------------ If you are getting a ``Cannot find implementation or library stub for module`` error, this means mypy was not able to find the module you are trying to import, whether it comes bundled with type hints or not. If you are getting this error, try: 1. Making sure your import does not contain a typo. 2. If the module is a third party library, making sure that mypy is able to find the interpreter containing the installed library. For example, if you are running your code in a virtualenv, make sure to install and use mypy within the virtualenv. Alternatively, if you want to use a globally installed mypy, set the :option:`--python-executable ` command line flag to point the Python interpreter containing your installed third party packages. You can confirm that you are running mypy from the environment you expect by running it like ``python -m mypy ...``. You can confirm that you are installing into the environment you expect by running pip like ``python -m pip ...``. 3. Reading the :ref:`finding-imports` section below to make sure you understand how exactly mypy searches for and finds modules and modify how you're invoking mypy accordingly. 4. Directly specifying the directory containing the module you want to type check from the command line, by using the :confval:`mypy_path` or :confval:`files` config file options, or by using the ``MYPYPATH`` environment variable. Note: if the module you are trying to import is actually a *submodule* of some package, you should specify the directory containing the *entire* package. For example, suppose you are trying to add the module ``foo.bar.baz`` which is located at ``~/foo-project/src/foo/bar/baz.py``. In this case, you must run ``mypy ~/foo-project/src`` (or set the ``MYPYPATH`` to ``~/foo-project/src``). .. _finding-imports: How imports are found ********************* When mypy encounters an ``import`` statement or receives module names from the command line via the :option:`--module ` or :option:`--package ` flags, mypy tries to find the module on the file system similar to the way Python finds it. However, there are some differences. First, mypy has its own search path. This is computed from the following items: - The ``MYPYPATH`` environment variable (a list of directories, colon-separated on UNIX systems, semicolon-separated on Windows). - The :confval:`mypy_path` config file option. - The directories containing the sources given on the command line (see :ref:`Mapping file paths to modules `). - The installed packages marked as safe for type checking (see :ref:`PEP 561 support `) - The relevant directories of the `typeshed `_ repo. .. note:: You cannot point to a stub-only package (:pep:`561`) via the ``MYPYPATH``, it must be installed (see :ref:`PEP 561 support `) Second, mypy searches for stub files in addition to regular Python files and packages. The rules for searching for a module ``foo`` are as follows: - The search looks in each of the directories in the search path (see above) until a match is found. - If a package named ``foo`` is found (i.e. a directory ``foo`` containing an ``__init__.py`` or ``__init__.pyi`` file) that's a match. - If a stub file named ``foo.pyi`` is found, that's a match. - If a Python module named ``foo.py`` is found, that's a match. These matches are tried in order, so that if multiple matches are found in the same directory on the search path (e.g. a package and a Python file, or a stub file and a Python file) the first one in the above list wins. In particular, if a Python file and a stub file are both present in the same directory on the search path, only the stub file is used. (However, if the files are in different directories, the one found in the earlier directory is used.) Setting :confval:`mypy_path`/``MYPYPATH`` is mostly useful in the case where you want to try running mypy against multiple distinct sets of files that happen to share some common dependencies. For example, if you have multiple projects that happen to be using the same set of work-in-progress stubs, it could be convenient to just have your ``MYPYPATH`` point to a single directory containing the stubs. .. _follow-imports: Following imports ***************** Mypy is designed to :ref:`doggedly follow all imports `, even if the imported module is not a file you explicitly wanted mypy to check. For example, suppose we have two modules ``mycode.foo`` and ``mycode.bar``: the former has type hints and the latter does not. We run :option:`mypy -m mycode.foo ` and mypy discovers that ``mycode.foo`` imports ``mycode.bar``. How do we want mypy to type check ``mycode.bar``? Mypy's behaviour here is configurable -- although we **strongly recommend** using the default -- by using the :option:`--follow-imports ` flag. This flag accepts one of four string values: - ``normal`` (the default, recommended) follows all imports normally and type checks all top level code (as well as the bodies of all functions and methods with at least one type annotation in the signature). - ``silent`` behaves in the same way as ``normal`` but will additionally *suppress* any error messages. - ``skip`` will *not* follow imports and instead will silently replace the module (and *anything imported from it*) with an object of type ``Any``. - ``error`` behaves in the same way as ``skip`` but is not quite as silent -- it will flag the import as an error, like this:: main.py:1: note: Import of "mycode.bar" ignored main.py:1: note: (Using --follow-imports=error, module not passed on command line) If you are starting a new codebase and plan on using type hints from the start, we **recommend** you use either :option:`--follow-imports=normal ` (the default) or :option:`--follow-imports=error `. Either option will help make sure you are not skipping checking any part of your codebase by accident. If you are planning on adding type hints to a large, existing code base, we recommend you start by trying to make your entire codebase (including files that do not use type hints) pass under :option:`--follow-imports=normal `. This is usually not too difficult to do: mypy is designed to report as few error messages as possible when it is looking at unannotated code. Only if doing this is intractable, try passing mypy just the files you want to type check and using :option:`--follow-imports=silent `. Even if mypy is unable to perfectly type check a file, it can still glean some useful information by parsing it (for example, understanding what methods a given object has). See :ref:`existing-code` for more recommendations. Adjusting import following behaviour is often most useful when restricted to specific modules. This can be accomplished by setting a per-module :confval:`follow_imports` config option. .. warning:: We do not recommend using ``follow_imports=skip`` unless you're really sure you know what you are doing. This option greatly restricts the analysis mypy can perform and you will lose a lot of the benefits of type checking. This is especially true at the global level. Setting a per-module ``follow_imports=skip`` for a specific problematic module can be useful without causing too much harm. .. note:: If you're looking to resolve import errors related to libraries, try following the advice in :ref:`fix-missing-imports` before messing with ``follow_imports``. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/runtime_troubles.rst0000644000175100017510000002756315112307767020660 0ustar00runnerrunner.. _runtime_troubles: Annotation issues at runtime ============================ Idiomatic use of type annotations can sometimes run up against what a given version of Python considers legal code. This section describes these scenarios and explains how to get your code running again. Generally speaking, we have three tools at our disposal: * Use of string literal types or type comments * Use of ``typing.TYPE_CHECKING`` * Use of ``from __future__ import annotations`` (:pep:`563`) We provide a description of these before moving onto discussion of specific problems you may encounter. .. _string-literal-types: String literal types and type comments -------------------------------------- Mypy lets you add type annotations using the (now deprecated) ``# type:`` type comment syntax. These were required with Python versions older than 3.6, since they didn't support type annotations on variables. Example: .. code-block:: python a = 1 # type: int def f(x): # type: (int) -> int return x + 1 # Alternative type comment syntax for functions with many arguments def send_email( address, # type: Union[str, List[str]] sender, # type: str cc, # type: Optional[List[str]] subject='', body=None # type: List[str] ): # type: (...) -> bool Type comments can't cause runtime errors because comments are not evaluated by Python. In a similar way, using string literal types sidesteps the problem of annotations that would cause runtime errors. Any type can be entered as a string literal, and you can combine string-literal types with non-string-literal types freely: .. code-block:: python def f(a: list['A']) -> None: ... # OK, prevents NameError since A is defined later def g(n: 'int') -> None: ... # Also OK, though not useful class A: pass String literal types are never needed in ``# type:`` comments and :ref:`stub files `. String literal types must be defined (or imported) later *in the same module*. They cannot be used to leave cross-module references unresolved. (For dealing with import cycles, see :ref:`import-cycles`.) .. _future-annotations: Future annotations import (PEP 563) ----------------------------------- Many of the issues described here are caused by Python trying to evaluate annotations. Future Python versions (potentially Python 3.14) will by default no longer attempt to evaluate function and variable annotations. This behaviour is made available in Python 3.7 and later through the use of ``from __future__ import annotations``. This can be thought of as automatic string literal-ification of all function and variable annotations. Note that function and variable annotations are still required to be valid Python syntax. For more details, see :pep:`563`. .. note:: Even with the ``__future__`` import, there are some scenarios that could still require string literals or result in errors, typically involving use of forward references or generics in: * :ref:`type aliases ` not defined using the ``type`` statement; * :ref:`type narrowing `; * type definitions (see :py:class:`~typing.TypeVar`, :py:class:`~typing.NewType`, :py:class:`~typing.NamedTuple`); * base classes. .. code-block:: python # base class example from __future__ import annotations class A(tuple['B', 'C']): ... # String literal types needed here class B: ... class C: ... .. warning:: Some libraries may have use cases for dynamic evaluation of annotations, for instance, through use of ``typing.get_type_hints`` or ``eval``. If your annotation would raise an error when evaluated (say by using :pep:`604` syntax with Python 3.9), you may need to be careful when using such libraries. .. _typing-type-checking: typing.TYPE_CHECKING -------------------- The :py:mod:`typing` module defines a :py:data:`~typing.TYPE_CHECKING` constant that is ``False`` at runtime but treated as ``True`` while type checking. Since code inside ``if TYPE_CHECKING:`` is not executed at runtime, it provides a convenient way to tell mypy something without the code being evaluated at runtime. This is most useful for resolving :ref:`import cycles `. .. _forward-references: Class name forward references ----------------------------- Python does not allow references to a class object before the class is defined (aka forward reference). Thus this code does not work as expected: .. code-block:: python def f(x: A) -> None: ... # NameError: name "A" is not defined class A: ... Starting from Python 3.7, you can add ``from __future__ import annotations`` to resolve this, as discussed earlier: .. code-block:: python from __future__ import annotations def f(x: A) -> None: ... # OK class A: ... For Python 3.6 and below, you can enter the type as a string literal or type comment: .. code-block:: python def f(x: 'A') -> None: ... # OK # Also OK def g(x): # type: (A) -> None ... class A: ... Of course, instead of using future annotations import or string literal types, you could move the function definition after the class definition. This is not always desirable or even possible, though. .. _import-cycles: Import cycles ------------- An import cycle occurs where module A imports module B and module B imports module A (perhaps indirectly, e.g. ``A -> B -> C -> A``). Sometimes in order to add type annotations you have to add extra imports to a module and those imports cause cycles that didn't exist before. This can lead to errors at runtime like: .. code-block:: text ImportError: cannot import name 'b' from partially initialized module 'A' (most likely due to a circular import) If those cycles do become a problem when running your program, there's a trick: if the import is only needed for type annotations and you're using a) the :ref:`future annotations import`, or b) string literals or type comments for the relevant annotations, you can write the imports inside ``if TYPE_CHECKING:`` so that they are not executed at runtime. Example: File ``foo.py``: .. code-block:: python from typing import TYPE_CHECKING if TYPE_CHECKING: import bar def listify(arg: 'bar.BarClass') -> 'list[bar.BarClass]': return [arg] File ``bar.py``: .. code-block:: python from foo import listify class BarClass: def listifyme(self) -> 'list[BarClass]': return listify(self) .. _not-generic-runtime: Using classes that are generic in stubs but not at runtime ---------------------------------------------------------- Some classes are declared as :ref:`generic` in stubs, but not at runtime. In Python 3.8 and earlier, there are several examples within the standard library, for instance, :py:class:`os.PathLike` and :py:class:`queue.Queue`. Subscripting such a class will result in a runtime error: .. code-block:: python from queue import Queue class Tasks(Queue[str]): # TypeError: 'type' object is not subscriptable ... results: Queue[int] = Queue() # TypeError: 'type' object is not subscriptable To avoid errors from use of these generics in annotations, just use the :ref:`future annotations import` (or string literals or type comments for Python 3.6 and below). To avoid errors when inheriting from these classes, things are a little more complicated and you need to use :ref:`typing.TYPE_CHECKING `: .. code-block:: python from typing import TYPE_CHECKING from queue import Queue if TYPE_CHECKING: BaseQueue = Queue[str] # this is only processed by mypy else: BaseQueue = Queue # this is not seen by mypy but will be executed at runtime class Tasks(BaseQueue): # OK ... task_queue: Tasks reveal_type(task_queue.get()) # Reveals str If your subclass is also generic, you can use the following (using the legacy syntax for generic classes): .. code-block:: python from typing import TYPE_CHECKING, TypeVar, Generic from queue import Queue _T = TypeVar("_T") if TYPE_CHECKING: class _MyQueueBase(Queue[_T]): pass else: class _MyQueueBase(Generic[_T], Queue): pass class MyQueue(_MyQueueBase[_T]): pass task_queue: MyQueue[str] reveal_type(task_queue.get()) # Reveals str In Python 3.9 and later, we can just inherit directly from ``Queue[str]`` or ``Queue[T]`` since its :py:class:`queue.Queue` implements :py:meth:`~object.__class_getitem__`, so the class object can be subscripted at runtime. You may still encounter issues (even if you use a recent Python version) when subclassing generic classes defined in third-party libraries if types are generic only in stubs. Using types defined in stubs but not at runtime ----------------------------------------------- Sometimes stubs that you're using may define types you wish to reuse that do not exist at runtime. Importing these types naively will cause your code to fail at runtime with ``ImportError`` or ``ModuleNotFoundError``. Similar to previous sections, these can be dealt with by using :ref:`typing.TYPE_CHECKING `: .. code-block:: python from __future__ import annotations from typing import TYPE_CHECKING if TYPE_CHECKING: from _typeshed import SupportsRichComparison def f(x: SupportsRichComparison) -> None The ``from __future__ import annotations`` is required to avoid a ``NameError`` when using the imported symbol. For more information and caveats, see the section on :ref:`future annotations `. .. _generic-builtins: Using generic builtins ---------------------- Starting with Python 3.9 (:pep:`585`), the type objects of many collections in the standard library support subscription at runtime. This means that you no longer have to import the equivalents from :py:mod:`typing`; you can simply use the built-in collections or those from :py:mod:`collections.abc`: .. code-block:: python from collections.abc import Sequence x: list[str] y: dict[int, str] z: Sequence[str] = x There is limited support for using this syntax in Python 3.7 and later as well: if you use ``from __future__ import annotations``, mypy will understand this syntax in annotations. However, since this will not be supported by the Python interpreter at runtime, make sure you're aware of the caveats mentioned in the notes at :ref:`future annotations import`. Using X | Y syntax for Unions ----------------------------- Starting with Python 3.10 (:pep:`604`), you can spell union types as ``x: int | str``, instead of ``x: typing.Union[int, str]``. There is limited support for using this syntax in Python 3.7 and later as well: if you use ``from __future__ import annotations``, mypy will understand this syntax in annotations, string literal types, type comments and stub files. However, since this will not be supported by the Python interpreter at runtime (if evaluated, ``int | str`` will raise ``TypeError: unsupported operand type(s) for |: 'type' and 'type'``), make sure you're aware of the caveats mentioned in the notes at :ref:`future annotations import`. Using new additions to the typing module ---------------------------------------- You may find yourself wanting to use features added to the :py:mod:`typing` module in earlier versions of Python than the addition. The easiest way to do this is to install and use the ``typing_extensions`` package from PyPI for the relevant imports, for example: .. code-block:: python from typing_extensions import TypeIs If you don't want to rely on ``typing_extensions`` being installed on newer Pythons, you could alternatively use: .. code-block:: python import sys if sys.version_info >= (3, 13): from typing import TypeIs else: from typing_extensions import TypeIs This plays nicely well with following :pep:`508` dependency specification: ``typing_extensions; python_version<"3.13"`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/stubgen.rst0000644000175100017510000001476015112307767016720 0ustar00runnerrunner.. _stubgen: .. program:: stubgen Automatic stub generation (stubgen) =================================== A stub file (see :pep:`484`) contains only type hints for the public interface of a module, with empty function bodies. Mypy can use a stub file instead of the real implementation to provide type information for the module. They are useful for third-party modules whose authors have not yet added type hints (and when no stubs are available in typeshed) and C extension modules (which mypy can't directly process). Mypy includes the ``stubgen`` tool that can automatically generate stub files (``.pyi`` files) for Python modules and C extension modules. For example, consider this source file: .. code-block:: python from other_module import dynamic BORDER_WIDTH = 15 class Window: parent = dynamic() def __init__(self, width, height): self.width = width self.height = height def create_empty() -> Window: return Window(0, 0) Stubgen can generate this stub file based on the above file: .. code-block:: python from typing import Any BORDER_WIDTH: int = ... class Window: parent: Any = ... width: Any = ... height: Any = ... def __init__(self, width, height) -> None: ... def create_empty() -> Window: ... Stubgen generates *draft* stubs. The auto-generated stub files often require some manual updates, and most types will default to ``Any``. The stubs will be much more useful if you add more precise type annotations, at least for the most commonly used functionality. The rest of this section documents the command line interface of stubgen. Run :option:`stubgen --help` for a quick summary of options. .. note:: The command-line flags may change between releases. Specifying what to stub *********************** You can give stubgen paths of the source files for which you want to generate stubs:: $ stubgen foo.py bar.py This generates stubs ``out/foo.pyi`` and ``out/bar.pyi``. The default output directory ``out`` can be overridden with :option:`-o DIR <-o>`. You can also pass directories, and stubgen will recursively search them for any ``.py`` files and generate stubs for all of them:: $ stubgen my_pkg_dir Alternatively, you can give module or package names using the :option:`-m` or :option:`-p` options:: $ stubgen -m foo -m bar -p my_pkg_dir Details of the options: .. option:: -m MODULE, --module MODULE Generate a stub file for the given module. This flag may be repeated multiple times. Stubgen *will not* recursively generate stubs for any submodules of the provided module. .. option:: -p PACKAGE, --package PACKAGE Generate stubs for the given package. This flag maybe repeated multiple times. Stubgen *will* recursively generate stubs for all submodules of the provided package. This flag is identical to :option:`--module` apart from this behavior. .. note:: You can't mix paths and :option:`-m`/:option:`-p` options in the same stubgen invocation. Stubgen applies heuristics to avoid generating stubs for submodules that include tests or vendored third-party packages. Specifying how to generate stubs ******************************** By default stubgen will try to import the target modules and packages. This allows stubgen to use runtime introspection to generate stubs for C extension modules and to improve the quality of the generated stubs. By default, stubgen will also use mypy to perform light-weight semantic analysis of any Python modules. Use the following flags to alter the default behavior: .. option:: --no-import Don't try to import modules. Instead only use mypy's normal search mechanism to find sources. This does not support C extension modules. This flag also disables runtime introspection functionality, which mypy uses to find the value of ``__all__``. As result the set of exported imported names in stubs may be incomplete. This flag is generally only useful when importing a module causes unwanted side effects, such as the running of tests. Stubgen tries to skip test modules even without this option, but this does not always work. .. option:: --no-analysis Don't perform semantic analysis of source files. This may generate worse stubs -- in particular, some module, class, and function aliases may be represented as variables with the ``Any`` type. This is generally only useful if semantic analysis causes a critical mypy error. Does not apply to C extension modules. Incompatible with :option:`--inspect-mode`. .. option:: --inspect-mode Import and inspect modules instead of parsing source code. This is the default behavior for C modules and pyc-only packages. The flag is useful to force inspection for pure Python modules that make use of dynamically generated members that would otherwise be omitted when using the default behavior of code parsing. Implies :option:`--no-analysis` as analysis requires source code. .. option:: --doc-dir PATH Try to infer better signatures by parsing .rst documentation in ``PATH``. This may result in better stubs, but currently it only works for C extension modules. Additional flags **************** .. option:: -h, --help Show help message and exit. .. option:: --ignore-errors If an exception was raised during stub generation, continue to process any remaining modules instead of immediately failing with an error. .. option:: --include-private Include definitions that are considered private in stubs (with names such as ``_foo`` with single leading underscore and no trailing underscores). .. option:: --export-less Don't export all names imported from other modules within the same package. Instead, only export imported names that are not referenced in the module that contains the import. .. option:: --include-docstrings Include docstrings in stubs. This will add docstrings to Python function and classes stubs and to C extension function stubs. .. option:: --search-path PATH Specify module search directories, separated by colons (only used if :option:`--no-import` is given). .. option:: -o PATH, --output PATH Change the output directory. By default the stubs are written in the ``./out`` directory. The output directory will be created if it doesn't exist. Existing stubs in the output directory will be overwritten without warning. .. option:: -v, --verbose Produce more verbose output. .. option:: -q, --quiet Produce less verbose output. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/stubs.rst0000644000175100017510000001162115112307767016402 0ustar00runnerrunner.. _stub-files: Stub files ========== A *stub file* is a file containing a skeleton of the public interface of that Python module, including classes, variables, functions -- and most importantly, their types. Mypy uses stub files stored in the `typeshed `_ repository to determine the types of standard library and third-party library functions, classes, and other definitions. You can also create your own stubs that will be used to type check your code. Creating a stub *************** Here is an overview of how to create a stub file: * Write a stub file for the library (or an arbitrary module) and store it as a ``.pyi`` file in the same directory as the library module. * Alternatively, put your stubs (``.pyi`` files) in a directory reserved for stubs (e.g., :file:`myproject/stubs`). In this case you have to set the environment variable ``MYPYPATH`` to refer to the directory. For example:: $ export MYPYPATH=~/work/myproject/stubs Use the normal Python file name conventions for modules, e.g. :file:`csv.pyi` for module ``csv``. Use a subdirectory with :file:`__init__.pyi` for packages. Note that :pep:`561` stub-only packages must be installed, and may not be pointed at through the ``MYPYPATH`` (see :ref:`PEP 561 support `). If a directory contains both a ``.py`` and a ``.pyi`` file for the same module, the ``.pyi`` file takes precedence. This way you can easily add annotations for a module even if you don't want to modify the source code. This can be useful, for example, if you use 3rd party open source libraries in your program (and there are no stubs in typeshed yet). That's it! Now you can access the module in mypy programs and type check code that uses the library. If you write a stub for a library module, consider making it available for other programmers that use mypy by contributing it back to the typeshed repo. Mypy also ships with two tools for making it easier to create and maintain stubs: :ref:`stubgen` and :ref:`stubtest`. The following sections explain the kinds of type annotations you can use in your programs and stub files. .. note:: You may be tempted to point ``MYPYPATH`` to the standard library or to the :file:`site-packages` directory where your 3rd party packages are installed. This is almost always a bad idea -- you will likely get tons of error messages about code you didn't write and that mypy can't analyze all that well yet, and in the worst case scenario mypy may crash due to some construct in a 3rd party package that it didn't expect. Stub file syntax **************** Stub files are written in normal Python syntax, but generally leaving out runtime logic like variable initializers, function bodies, and default arguments. If it is not possible to completely leave out some piece of runtime logic, the recommended convention is to replace or elide them with ellipsis expressions (``...``). Each ellipsis below is literally written in the stub file as three dots: .. code-block:: python # Variables with annotations do not need to be assigned a value. # So by convention, we omit them in the stub file. x: int # Function bodies cannot be completely removed. By convention, # we replace them with `...` instead of the `pass` statement. def func_1(code: str) -> int: ... # We can do the same with default arguments. def func_2(a: int, b: int = ...) -> int: ... .. note:: The ellipsis ``...`` is also used with a different meaning in :ref:`callable types ` and :ref:`tuple types `. Using stub file syntax at runtime ********************************* You may also occasionally need to elide actual logic in regular Python code -- for example, when writing methods in :ref:`overload variants ` or :ref:`custom protocols `. The recommended style is to use ellipses to do so, just like in stub files. It is also considered stylistically acceptable to throw a :py:exc:`NotImplementedError` in cases where the user of the code may accidentally call functions with no actual logic. You can also elide default arguments as long as the function body also contains no runtime logic: the function body only contains a single ellipsis, the pass statement, or a ``raise NotImplementedError()``. It is also acceptable for the function body to contain a docstring. For example: .. code-block:: python from typing import Protocol class Resource(Protocol): def ok_1(self, foo: list[str] = ...) -> None: ... def ok_2(self, foo: list[str] = ...) -> None: raise NotImplementedError() def ok_3(self, foo: list[str] = ...) -> None: """Some docstring""" pass # Error: Incompatible default for argument "foo" (default has # type "ellipsis", argument has type "list[str]") def not_ok(self, foo: list[str] = ...) -> None: print(foo) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/stubtest.rst0000644000175100017510000001617615112307767017131 0ustar00runnerrunner.. _stubtest: .. program:: stubtest Automatic stub testing (stubtest) ================================= Stub files are files containing type annotations. See `PEP 484 `_ for more motivation and details. A common problem with stub files is that they tend to diverge from the actual implementation. Mypy includes the ``stubtest`` tool that can automatically check for discrepancies between the stubs and the implementation at runtime. What stubtest does and does not do ********************************** Stubtest will import your code and introspect your code objects at runtime, for example, by using the capabilities of the :py:mod:`inspect` module. Stubtest will then analyse the stub files, and compare the two, pointing out things that differ between stubs and the implementation at runtime. It's important to be aware of the limitations of this comparison. Stubtest will not make any attempt to statically analyse your actual code and relies only on dynamic runtime introspection (in particular, this approach means stubtest works well with extension modules). However, this means that stubtest has limited visibility; for instance, it cannot tell if a return type of a function is accurately typed in the stubs. For clarity, here are some additional things stubtest can't do: * Type check your code -- use ``mypy`` instead * Generate stubs -- use ``stubgen`` or ``pyright --createstub`` instead * Generate stubs based on running your application or test suite -- use ``monkeytype`` instead * Apply stubs to code to produce inline types -- use ``retype`` or ``libcst`` instead In summary, stubtest works very well for ensuring basic consistency between stubs and implementation or to check for stub completeness. It's used to test Python's official collection of library stubs, `typeshed `_. .. warning:: stubtest will import and execute Python code from the packages it checks. Example ******* Here's a quick example of what stubtest can do: .. code-block:: shell $ python3 -m pip install mypy $ cat library.py x = "hello, stubtest" def foo(x=None): print(x) $ cat library.pyi x: int def foo(x: int) -> None: ... $ python3 -m mypy.stubtest library error: library.foo is inconsistent, runtime argument "x" has a default value but stub argument does not Stub: at line 3 def (x: builtins.int) Runtime: in file ~/library.py:3 def (x=None) error: library.x variable differs from runtime type Literal['hello, stubtest'] Stub: at line 1 builtins.int Runtime: 'hello, stubtest' Usage ***** Running stubtest can be as simple as ``stubtest module_to_check``. Run :option:`stubtest --help` for a quick summary of options. Stubtest must be able to import the code to be checked, so make sure that mypy is installed in the same environment as the library to be tested. In some cases, setting ``PYTHONPATH`` can help stubtest find the code to import. Similarly, stubtest must be able to find the stubs to be checked. Stubtest respects the ``MYPYPATH`` environment variable -- consider using this if you receive a complaint along the lines of "failed to find stubs". Note that stubtest requires mypy to be able to analyse stubs. If mypy is unable to analyse stubs, you may get an error on the lines of "not checking stubs due to mypy build errors". In this case, you will need to mitigate those errors before stubtest will run. Despite potential overlap in errors here, stubtest is not intended as a substitute for running mypy directly. Allowlist ********* If you wish to ignore some of stubtest's complaints, stubtest supports a pretty handy :option:`--allowlist` system. Let's say that you have this python module called ``ex``: .. code-block:: python try: import optional_expensive_dep except ImportError: optional_expensive_dep = None first = 1 if optional_expensive_dep: second = 2 Let's say that you can't install ``optional_expensive_dep`` in CI for some reason, but you still want to include ``second: int`` in the stub file: .. code-block:: python first: int second: int In this case stubtest will correctly complain: .. code-block:: shell error: ex.second is not present at runtime Stub: in file /.../ex.pyi:2 builtins.int Runtime: MISSING Found 1 error (checked 1 module) To fix this, you can add an ``allowlist`` entry: .. code-block:: ini # Allowlist entries in `allowlist.txt` file: # Does not exist if `optional_expensive_dep` is not installed: ex.second And now when running stubtest with ``--allowlist=allowlist.txt``, no errors will be generated anymore. Allowlists also support regular expressions, which can be useful to ignore many similar errors at once. They can also be useful for suppressing stubtest errors that occur sometimes, but not on every CI run. For example, if some CI workers have ``optional_expensive_dep`` installed, stubtest might complain with this message on those workers if you had the ``ex.second`` allowlist entry: .. code-block:: ini note: unused allowlist entry ex.second Found 1 error (checked 1 module) Changing ``ex.second`` to be ``(ex\.second)?`` will make this error optional, meaning that stubtest will pass whether or not a CI runner has``optional_expensive_dep`` installed. CLI *** The rest of this section documents the command line interface of stubtest. .. option:: --concise Makes stubtest's output more concise, one line per error .. option:: --ignore-missing-stub Ignore errors for stub missing things that are present at runtime .. option:: --ignore-positional-only Ignore errors for whether an argument should or shouldn't be positional-only .. option:: --allowlist FILE Use file as an allowlist. Can be passed multiple times to combine multiple allowlists. Allowlists can be created with :option:`--generate-allowlist`. Allowlists support regular expressions. The presence of an entry in the allowlist means stubtest will not generate any errors for the corresponding definition. .. option:: --generate-allowlist Print an allowlist (to stdout) to be used with :option:`--allowlist`. When introducing stubtest to an existing project, this is an easy way to silence all existing errors. .. option:: --ignore-unused-allowlist Ignore unused allowlist entries Without this option enabled, the default is for stubtest to complain if an allowlist entry is not necessary for stubtest to pass successfully. Note if an allowlist entry is a regex that matches the empty string, stubtest will never consider it unused. For example, to get ``--ignore-unused-allowlist`` behaviour for a single allowlist entry like ``foo.bar`` you could add an allowlist entry ``(foo\.bar)?``. This can be useful when an error only occurs on a specific platform. .. option:: --mypy-config-file FILE Use specified mypy config *file* to determine mypy plugins and mypy path .. option:: --custom-typeshed-dir DIR Use the custom typeshed in *DIR* .. option:: --check-typeshed Check all stdlib modules in typeshed .. option:: --help Show a help message :-) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/supported_python_features.rst0000644000175100017510000000165115112307767022570 0ustar00runnerrunnerSupported Python features ========================= A list of unsupported Python features is maintained in the mypy wiki: - `Unsupported Python features `_ Runtime definition of methods and functions ******************************************* By default, mypy will complain if you add a function to a class or module outside its definition -- but only if this is visible to the type checker. This only affects static checking, as mypy performs no additional type checking at runtime. You can easily work around this. For example, you can use dynamically typed code or values with ``Any`` types, or you can use :py:func:`setattr` or other introspection features. However, you need to be careful if you decide to do this. If used indiscriminately, you may have difficulty using static typing effectively, since the type checker cannot see functions defined at runtime. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/type_inference_and_annotations.rst0000644000175100017510000002223415112307767023502 0ustar00runnerrunner.. _type-inference-and-annotations: Type inference and type annotations =================================== Type inference ************** For most variables, if you do not explicitly specify its type, mypy will infer the correct type based on what is initially assigned to the variable. .. code-block:: python # Mypy will infer the type of these variables, despite no annotations i = 1 reveal_type(i) # Revealed type is "builtins.int" l = [1, 2] reveal_type(l) # Revealed type is "builtins.list[builtins.int]" .. note:: Note that mypy will not use type inference in dynamically typed functions (those without a function type annotation) — every local variable type defaults to ``Any`` in such functions. For more details, see :ref:`dynamic-typing`. .. code-block:: python def untyped_function(): i = 1 reveal_type(i) # Revealed type is "Any" # 'reveal_type' always outputs 'Any' in unchecked functions .. _explicit-var-types: Explicit types for variables **************************** You can override the inferred type of a variable by using a variable type annotation: .. code-block:: python x: int | str = 1 Without the type annotation, the type of ``x`` would be just ``int``. We use an annotation to give it a more general type ``int | str`` (this type means that the value can be either an ``int`` or a ``str``). The best way to think about this is that the type annotation sets the type of the variable, not the type of the expression. For instance, mypy will complain about the following code: .. code-block:: python x: int | str = 1.1 # error: Incompatible types in assignment # (expression has type "float", variable has type "int | str") .. note:: To explicitly override the type of an expression you can use :py:func:`cast(\, \) `. See :ref:`casts` for details. Note that you can explicitly declare the type of a variable without giving it an initial value: .. code-block:: python # We only unpack two values, so there's no right-hand side value # for mypy to infer the type of "cs" from: a, b, *cs = 1, 2 # error: Need type annotation for "cs" rs: list[int] # no assignment! p, q, *rs = 1, 2 # OK Explicit types for collections ****************************** The type checker cannot always infer the type of a list or a dictionary. This often arises when creating an empty list or dictionary and assigning it to a new variable that doesn't have an explicit variable type. Here is an example where mypy can't infer the type without some help: .. code-block:: python l = [] # Error: Need type annotation for "l" In these cases you can give the type explicitly using a type annotation: .. code-block:: python l: list[int] = [] # Create empty list of int d: dict[str, int] = {} # Create empty dictionary (str -> int) .. note:: Using type arguments (e.g. ``list[int]``) on builtin collections like :py:class:`list`, :py:class:`dict`, :py:class:`tuple`, and :py:class:`set` only works in Python 3.9 and later. For Python 3.8 and earlier, you must use :py:class:`~typing.List` (e.g. ``List[int]``), :py:class:`~typing.Dict`, and so on. Compatibility of container types ******************************** A quick note: container types can sometimes be unintuitive. We'll discuss this more in :ref:`variance`. For example, the following program generates a mypy error, because mypy treats ``list[int]`` as incompatible with ``list[object]``: .. code-block:: python def f(l: list[object], k: list[int]) -> None: l = k # error: Incompatible types in assignment The reason why the above assignment is disallowed is that allowing the assignment could result in non-int values stored in a list of ``int``: .. code-block:: python def f(l: list[object], k: list[int]) -> None: l = k l.append('x') print(k[-1]) # Ouch; a string in list[int] Other container types like :py:class:`dict` and :py:class:`set` behave similarly. You can still run the above program; it prints ``x``. This illustrates the fact that static types do not affect the runtime behavior of programs. You can run programs with type check failures, which is often very handy when performing a large refactoring. Thus you can always 'work around' the type system, and it doesn't really limit what you can do in your program. Context in type inference ************************* Type inference is *bidirectional* and takes context into account. Mypy will take into account the type of the variable on the left-hand side of an assignment when inferring the type of the expression on the right-hand side. For example, the following will type check: .. code-block:: python def f(l: list[object]) -> None: l = [1, 2] # Infer type list[object] for [1, 2], not list[int] The value expression ``[1, 2]`` is type checked with the additional context that it is being assigned to a variable of type ``list[object]``. This is used to infer the type of the *expression* as ``list[object]``. Declared argument types are also used for type context. In this program mypy knows that the empty list ``[]`` should have type ``list[int]`` based on the declared type of ``arg`` in ``foo``: .. code-block:: python def foo(arg: list[int]) -> None: print('Items:', ''.join(str(a) for a in arg)) foo([]) # OK However, context only works within a single statement. Here mypy requires an annotation for the empty list, since the context would only be available in the following statement: .. code-block:: python def foo(arg: list[int]) -> None: print('Items:', ', '.join(arg)) a = [] # Error: Need type annotation for "a" foo(a) Working around the issue is easy by adding a type annotation: .. code-block:: Python ... a: list[int] = [] # OK foo(a) .. _silencing-type-errors: Silencing type errors ********************* You might want to disable type checking on specific lines, or within specific files in your codebase. To do that, you can use a ``# type: ignore`` comment. For example, say in its latest update, the web framework you use can now take an integer argument to ``run()``, which starts it on localhost on that port. Like so: .. code-block:: python # Starting app on http://localhost:8000 app.run(8000) However, the devs forgot to update their type annotations for ``run``, so mypy still thinks ``run`` only expects ``str`` types. This would give you the following error: .. code-block:: text error: Argument 1 to "run" of "A" has incompatible type "int"; expected "str" If you cannot directly fix the web framework yourself, you can temporarily disable type checking on that line, by adding a ``# type: ignore``: .. code-block:: python # Starting app on http://localhost:8000 app.run(8000) # type: ignore This will suppress any mypy errors that would have raised on that specific line. You should probably add some more information on the ``# type: ignore`` comment, to explain why the ignore was added in the first place. This could be a link to an issue on the repository responsible for the type stubs, or it could be a short explanation of the bug. To do that, use this format: .. code-block:: python # Starting app on http://localhost:8000 app.run(8000) # type: ignore # `run()` in v2.0 accepts an `int`, as a port Type ignore error codes ----------------------- By default, mypy displays an error code for each error: .. code-block:: text error: "str" has no attribute "trim" [attr-defined] It is possible to add a specific error-code in your ignore comment (e.g. ``# type: ignore[attr-defined]``) to clarify what's being silenced. You can find more information about error codes :ref:`here `. Other ways to silence errors ---------------------------- You can get mypy to silence errors about a specific variable by dynamically typing it with ``Any``. See :ref:`dynamic-typing` for more information. .. code-block:: python from typing import Any def f(x: Any, y: str) -> None: x = 'hello' x += 1 # OK You can ignore all mypy errors in a file by adding a ``# mypy: ignore-errors`` at the top of the file: .. code-block:: python # mypy: ignore-errors # This is a test file, skipping type checking in it. import unittest ... You can also specify per-module configuration options in your :ref:`config-file`. For example: .. code-block:: ini # Don't report errors in the 'package_to_fix_later' package [mypy-package_to_fix_later.*] ignore_errors = True # Disable specific error codes in the 'tests' package # Also don't require type annotations [mypy-tests.*] disable_error_code = var-annotated, has-type allow_untyped_defs = True # Silence import errors from the 'library_missing_types' package [mypy-library_missing_types.*] ignore_missing_imports = True Finally, adding a ``@typing.no_type_check`` decorator to a class, method or function causes mypy to avoid type checking that class, method or function and to treat it as not having any type annotations. .. code-block:: python @typing.no_type_check def foo() -> str: return 12345 # No error! ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/type_narrowing.rst0000644000175100017510000004250515112307767020316 0ustar00runnerrunner.. _type-narrowing: Type narrowing ============== This section is dedicated to several type narrowing techniques which are supported by mypy. Type narrowing is when you convince a type checker that a broader type is actually more specific, for instance, that an object of type ``Shape`` is actually of the narrower type ``Square``. The following type narrowing techniques are available: - :ref:`type-narrowing-expressions` - :ref:`casts` - :ref:`type-guards` - :ref:`typeis` .. _type-narrowing-expressions: Type narrowing expressions -------------------------- The simplest way to narrow a type is to use one of the supported expressions: - :py:func:`isinstance` like in :code:`isinstance(obj, float)` will narrow ``obj`` to have ``float`` type - :py:func:`issubclass` like in :code:`issubclass(cls, MyClass)` will narrow ``cls`` to be ``Type[MyClass]`` - :py:class:`type` like in :code:`type(obj) is int` will narrow ``obj`` to have ``int`` type - :py:func:`callable` like in :code:`callable(obj)` will narrow object to callable type - :code:`obj is not None` will narrow object to its :ref:`non-optional form ` Type narrowing is contextual. For example, based on the condition, mypy will narrow an expression only within an ``if`` branch: .. code-block:: python def function(arg: object): if isinstance(arg, int): # Type is narrowed within the ``if`` branch only reveal_type(arg) # Revealed type: "builtins.int" elif isinstance(arg, str) or isinstance(arg, bool): # Type is narrowed differently within this ``elif`` branch: reveal_type(arg) # Revealed type: "builtins.str | builtins.bool" # Subsequent narrowing operations will narrow the type further if isinstance(arg, bool): reveal_type(arg) # Revealed type: "builtins.bool" # Back outside of the ``if`` statement, the type isn't narrowed: reveal_type(arg) # Revealed type: "builtins.object" Mypy understands the implications ``return`` or exception raising can have for what type an object could be: .. code-block:: python def function(arg: int | str): if isinstance(arg, int): return # `arg` can't be `int` at this point: reveal_type(arg) # Revealed type: "builtins.str" We can also use ``assert`` to narrow types in the same context: .. code-block:: python def function(arg: Any): assert isinstance(arg, int) reveal_type(arg) # Revealed type: "builtins.int" .. note:: With :option:`--warn-unreachable ` narrowing types to some impossible state will be treated as an error. .. code-block:: python def function(arg: int): # error: Subclass of "int" and "str" cannot exist: # would have incompatible method signatures assert isinstance(arg, str) # error: Statement is unreachable print("so mypy concludes the assert will always trigger") Without ``--warn-unreachable`` mypy will simply not check code it deems to be unreachable. See :ref:`unreachable` for more information. .. code-block:: python x: int = 1 assert isinstance(x, str) reveal_type(x) # Revealed type is "builtins.int" print(x + '!') # Typechecks with `mypy`, but fails in runtime. issubclass ~~~~~~~~~~ Mypy can also use :py:func:`issubclass` for better type inference when working with types and metaclasses: .. code-block:: python class MyCalcMeta(type): @classmethod def calc(cls) -> int: ... def f(o: object) -> None: t = type(o) # We must use a variable here reveal_type(t) # Revealed type is "builtins.type" if issubclass(t, MyCalcMeta): # `issubclass(type(o), MyCalcMeta)` won't work reveal_type(t) # Revealed type is "Type[MyCalcMeta]" t.calc() # Okay callable ~~~~~~~~ Mypy knows what types are callable and which ones are not during type checking. So, we know what ``callable()`` will return. For example: .. code-block:: python from collections.abc import Callable x: Callable[[], int] if callable(x): reveal_type(x) # N: Revealed type is "def () -> builtins.int" else: ... # Will never be executed and will raise error with `--warn-unreachable` The ``callable`` function can even split union types into callable and non-callable parts: .. code-block:: python from collections.abc import Callable x: int | Callable[[], int] if callable(x): reveal_type(x) # N: Revealed type is "def () -> builtins.int" else: reveal_type(x) # N: Revealed type is "builtins.int" .. _casts: Casts ----- Mypy supports type casts that are usually used to coerce a statically typed value to a subtype. Unlike languages such as Java or C#, however, mypy casts are only used as hints for the type checker, and they don't perform a runtime type check. Use the function :py:func:`~typing.cast` to perform a cast: .. code-block:: python from typing import cast o: object = [1] x = cast(list[int], o) # OK y = cast(list[str], o) # OK (cast performs no actual runtime check) To support runtime checking of casts such as the above, we'd have to check the types of all list items, which would be very inefficient for large lists. Casts are used to silence spurious type checker warnings and give the type checker a little help when it can't quite understand what is going on. .. note:: You can use an assertion if you want to perform an actual runtime check: .. code-block:: python def foo(o: object) -> None: print(o + 5) # Error: can't add 'object' and 'int' assert isinstance(o, int) print(o + 5) # OK: type of 'o' is 'int' here You don't need a cast for expressions with type ``Any``, or when assigning to a variable with type ``Any``, as was explained earlier. You can also use ``Any`` as the cast target type -- this lets you perform any operations on the result. For example: .. code-block:: python from typing import cast, Any x = 1 x.whatever() # Type check error y = cast(Any, x) y.whatever() # Type check OK (runtime error) .. _type-guards: User-Defined Type Guards ------------------------ Mypy supports User-Defined Type Guards (:pep:`647`). A type guard is a way for programs to influence conditional type narrowing employed by a type checker based on runtime checks. Basically, a ``TypeGuard`` is a "smart" alias for a ``bool`` type. Let's have a look at the regular ``bool`` example: .. code-block:: python def is_str_list(val: list[object]) -> bool: """Determines whether all objects in the list are strings""" return all(isinstance(x, str) for x in val) def func1(val: list[object]) -> None: if is_str_list(val): reveal_type(val) # Reveals list[object] print(" ".join(val)) # Error: incompatible type The same example with ``TypeGuard``: .. code-block:: python from typing import TypeGuard # use `typing_extensions` for Python 3.9 and below def is_str_list(val: list[object]) -> TypeGuard[list[str]]: """Determines whether all objects in the list are strings""" return all(isinstance(x, str) for x in val) def func1(val: list[object]) -> None: if is_str_list(val): reveal_type(val) # list[str] print(" ".join(val)) # ok How does it work? ``TypeGuard`` narrows the first function argument (``val``) to the type specified as the first type parameter (``list[str]``). .. note:: Narrowing is `not strict `_. For example, you can narrow ``str`` to ``int``: .. code-block:: python def f(value: str) -> TypeGuard[int]: return True Note: since strict narrowing is not enforced, it's easy to break type safety. However, there are many ways a determined or uninformed developer can subvert type safety -- most commonly by using cast or Any. If a Python developer takes the time to learn about and implement user-defined type guards within their code, it is safe to assume that they are interested in type safety and will not write their type guard functions in a way that will undermine type safety or produce nonsensical results. Generic TypeGuards ~~~~~~~~~~~~~~~~~~ ``TypeGuard`` can also work with generic types (Python 3.12 syntax): .. code-block:: python from typing import TypeGuard # use `typing_extensions` for `python<3.10` def is_two_element_tuple[T](val: tuple[T, ...]) -> TypeGuard[tuple[T, T]]: return len(val) == 2 def func(names: tuple[str, ...]): if is_two_element_tuple(names): reveal_type(names) # tuple[str, str] else: reveal_type(names) # tuple[str, ...] TypeGuards with parameters ~~~~~~~~~~~~~~~~~~~~~~~~~~ Type guard functions can accept extra arguments (Python 3.12 syntax): .. code-block:: python from typing import TypeGuard # use `typing_extensions` for `python<3.10` def is_set_of[T](val: set[Any], type: type[T]) -> TypeGuard[set[T]]: return all(isinstance(x, type) for x in val) items: set[Any] if is_set_of(items, str): reveal_type(items) # set[str] TypeGuards as methods ~~~~~~~~~~~~~~~~~~~~~ A method can also serve as a ``TypeGuard``: .. code-block:: python class StrValidator: def is_valid(self, instance: object) -> TypeGuard[str]: return isinstance(instance, str) def func(to_validate: object) -> None: if StrValidator().is_valid(to_validate): reveal_type(to_validate) # Revealed type is "builtins.str" .. note:: Note, that ``TypeGuard`` `does not narrow `_ types of ``self`` or ``cls`` implicit arguments. If narrowing of ``self`` or ``cls`` is required, the value can be passed as an explicit argument to a type guard function: .. code-block:: python class Parent: def method(self) -> None: reveal_type(self) # Revealed type is "Parent" if is_child(self): reveal_type(self) # Revealed type is "Child" class Child(Parent): ... def is_child(instance: Parent) -> TypeGuard[Child]: return isinstance(instance, Child) Assignment expressions as TypeGuards ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Sometimes you might need to create a new variable and narrow it to some specific type at the same time. This can be achieved by using ``TypeGuard`` together with `:= operator `_. .. code-block:: python from typing import TypeGuard # use `typing_extensions` for `python<3.10` def is_float(a: object) -> TypeGuard[float]: return isinstance(a, float) def main(a: object) -> None: if is_float(x := a): reveal_type(x) # N: Revealed type is 'builtins.float' reveal_type(a) # N: Revealed type is 'builtins.object' reveal_type(x) # N: Revealed type is 'builtins.object' reveal_type(a) # N: Revealed type is 'builtins.object' What happens here? 1. We create a new variable ``x`` and assign a value of ``a`` to it 2. We run ``is_float()`` type guard on ``x`` 3. It narrows ``x`` to be ``float`` in the ``if`` context and does not touch ``a`` .. note:: The same will work with ``isinstance(x := a, float)`` as well. .. _typeis: TypeIs ------ Mypy supports TypeIs (:pep:`742`). A `TypeIs narrowing function `_ allows you to define custom type checks that can narrow the type of a variable in `both the if and else `_ branches of a conditional, similar to how the built-in isinstance() function works. TypeIs is new in Python 3.13 — for use in older Python versions, use the backport from `typing_extensions `_ Consider the following example using TypeIs: .. code-block:: python from typing import TypeIs def is_str(x: object) -> TypeIs[str]: return isinstance(x, str) def process(x: int | str) -> None: if is_str(x): reveal_type(x) # Revealed type is 'str' print(x.upper()) # Valid: x is str else: reveal_type(x) # Revealed type is 'int' print(x + 1) # Valid: x is int In this example, the function is_str is a type narrowing function that returns TypeIs[str]. When used in an if statement, x is narrowed to str in the if branch and to int in the else branch. Key points: - The function must accept at least one positional argument. - The return type is annotated as ``TypeIs[T]``, where ``T`` is the type you want to narrow to. - The function must return a ``bool`` value. - In the ``if`` branch (when the function returns ``True``), the type of the argument is narrowed to the intersection of its original type and ``T``. - In the ``else`` branch (when the function returns ``False``), the type of the argument is narrowed to the intersection of its original type and the complement of ``T``. TypeIs vs TypeGuard ~~~~~~~~~~~~~~~~~~~ While both TypeIs and TypeGuard allow you to define custom type narrowing functions, they differ in important ways: - **Type narrowing behavior**: TypeIs narrows the type in both the if and else branches, whereas TypeGuard narrows only in the if branch. - **Compatibility requirement**: TypeIs requires that the narrowed type T be compatible with the input type of the function. TypeGuard does not have this restriction. - **Type inference**: With TypeIs, the type checker may infer a more precise type by combining existing type information with T. Here's an example demonstrating the behavior with TypeGuard: .. code-block:: python from typing import TypeGuard, reveal_type def is_str(x: object) -> TypeGuard[str]: return isinstance(x, str) def process(x: int | str) -> None: if is_str(x): reveal_type(x) # Revealed type is "builtins.str" print(x.upper()) # ok: x is str else: reveal_type(x) # Revealed type is "Union[builtins.int, builtins.str]" print(x + 1) # ERROR: Unsupported operand types for + ("str" and "int") [operator] Generic TypeIs ~~~~~~~~~~~~~~ ``TypeIs`` functions can also work with generic types: .. code-block:: python from typing import TypeVar, TypeIs T = TypeVar('T') def is_two_element_tuple(val: tuple[T, ...]) -> TypeIs[tuple[T, T]]: return len(val) == 2 def process(names: tuple[str, ...]) -> None: if is_two_element_tuple(names): reveal_type(names) # Revealed type is 'tuple[str, str]' else: reveal_type(names) # Revealed type is 'tuple[str, ...]' TypeIs with Additional Parameters ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ TypeIs functions can accept additional parameters beyond the first. The type narrowing applies only to the first argument. .. code-block:: python from typing import Any, TypeVar, reveal_type, TypeIs T = TypeVar('T') def is_instance_of(val: Any, typ: type[T]) -> TypeIs[T]: return isinstance(val, typ) def process(x: Any) -> None: if is_instance_of(x, int): reveal_type(x) # Revealed type is 'int' print(x + 1) # ok else: reveal_type(x) # Revealed type is 'Any' TypeIs in Methods ~~~~~~~~~~~~~~~~~ A method can also serve as a ``TypeIs`` function. Note that in instance or class methods, the type narrowing applies to the second parameter (after ``self`` or ``cls``). .. code-block:: python class Validator: def is_valid(self, instance: object) -> TypeIs[str]: return isinstance(instance, str) def process(self, to_validate: object) -> None: if Validator().is_valid(to_validate): reveal_type(to_validate) # Revealed type is 'str' print(to_validate.upper()) # ok: to_validate is str Assignment Expressions with TypeIs ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ You can use the assignment expression operator ``:=`` with ``TypeIs`` to create a new variable and narrow its type simultaneously. .. code-block:: python from typing import TypeIs, reveal_type def is_float(x: object) -> TypeIs[float]: return isinstance(x, float) def main(a: object) -> None: if is_float(x := a): reveal_type(x) # Revealed type is 'float' # x is narrowed to float in this block print(x + 1.0) Limitations ----------- Mypy's analysis is limited to individual symbols and it will not track relationships between symbols. For example, in the following code it's easy to deduce that if :code:`a` is None then :code:`b` must not be, therefore :code:`a or b` will always be an instance of :code:`C`, but Mypy will not be able to tell that: .. code-block:: python class C: pass def f(a: C | None, b: C | None) -> C: if a is not None or b is not None: return a or b # Incompatible return value type (got "C | None", expected "C") return C() Tracking these sort of cross-variable conditions in a type checker would add significant complexity and performance overhead. You can use an ``assert`` to convince the type checker, override it with a :ref:`cast ` or rewrite the function to be slightly more verbose: .. code-block:: python def f(a: C | None, b: C | None) -> C: if a is not None: return a elif b is not None: return b return C() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/docs/source/typed_dict.rst0000644000175100017510000002634315112307767017401 0ustar00runnerrunner.. _typeddict: TypedDict ********* Python programs often use dictionaries with string keys to represent objects. ``TypedDict`` lets you give precise types for dictionaries that represent objects with a fixed schema, such as ``{'id': 1, 'items': ['x']}``. Here is a typical example: .. code-block:: python movie = {'name': 'Blade Runner', 'year': 1982} Only a fixed set of string keys is expected (``'name'`` and ``'year'`` above), and each key has an independent value type (``str`` for ``'name'`` and ``int`` for ``'year'`` above). We've previously seen the ``dict[K, V]`` type, which lets you declare uniform dictionary types, where every value has the same type, and arbitrary keys are supported. This is clearly not a good fit for ``movie`` above. Instead, you can use a ``TypedDict`` to give a precise type for objects like ``movie``, where the type of each dictionary value depends on the key: .. code-block:: python from typing import TypedDict Movie = TypedDict('Movie', {'name': str, 'year': int}) movie: Movie = {'name': 'Blade Runner', 'year': 1982} ``Movie`` is a ``TypedDict`` type with two items: ``'name'`` (with type ``str``) and ``'year'`` (with type ``int``). Note that we used an explicit type annotation for the ``movie`` variable. This type annotation is important -- without it, mypy will try to infer a regular, uniform :py:class:`dict` type for ``movie``, which is not what we want here. .. note:: If you pass a ``TypedDict`` object as an argument to a function, no type annotation is usually necessary since mypy can infer the desired type based on the declared argument type. Also, if an assignment target has been previously defined, and it has a ``TypedDict`` type, mypy will treat the assigned value as a ``TypedDict``, not :py:class:`dict`. Now mypy will recognize these as valid: .. code-block:: python name = movie['name'] # Okay; type of name is str year = movie['year'] # Okay; type of year is int Mypy will detect an invalid key as an error: .. code-block:: python director = movie['director'] # Error: 'director' is not a valid key Mypy will also reject a runtime-computed expression as a key, as it can't verify that it's a valid key. You can only use string literals as ``TypedDict`` keys. The ``TypedDict`` type object can also act as a constructor. It returns a normal :py:class:`dict` object at runtime -- a ``TypedDict`` does not define a new runtime type: .. code-block:: python toy_story = Movie(name='Toy Story', year=1995) This is equivalent to just constructing a dictionary directly using ``{ ... }`` or ``dict(key=value, ...)``. The constructor form is sometimes convenient, since it can be used without a type annotation, and it also makes the type of the object explicit. Like all types, ``TypedDict``\s can be used as components to build arbitrarily complex types. For example, you can define nested ``TypedDict``\s and containers with ``TypedDict`` items. Unlike most other types, mypy uses structural compatibility checking (or structural subtyping) with ``TypedDict``\s. A ``TypedDict`` object with extra items is compatible with (a subtype of) a narrower ``TypedDict``, assuming item types are compatible (*totality* also affects subtyping, as discussed below). A ``TypedDict`` object is not a subtype of the regular ``dict[...]`` type (and vice versa), since :py:class:`dict` allows arbitrary keys to be added and removed, unlike ``TypedDict``. However, any ``TypedDict`` object is a subtype of (that is, compatible with) ``Mapping[str, object]``, since :py:class:`~collections.abc.Mapping` only provides read-only access to the dictionary items: .. code-block:: python def print_typed_dict(obj: Mapping[str, object]) -> None: for key, value in obj.items(): print(f'{key}: {value}') print_typed_dict(Movie(name='Toy Story', year=1995)) # OK .. note:: Unless you are on Python 3.8 or newer (where ``TypedDict`` is available in standard library :py:mod:`typing` module) you need to install ``typing_extensions`` using pip to use ``TypedDict``: .. code-block:: text python3 -m pip install --upgrade typing-extensions Totality -------- By default mypy ensures that a ``TypedDict`` object has all the specified keys. This will be flagged as an error: .. code-block:: python # Error: 'year' missing toy_story: Movie = {'name': 'Toy Story'} Sometimes you want to allow keys to be left out when creating a ``TypedDict`` object. You can provide the ``total=False`` argument to ``TypedDict(...)`` to achieve this: .. code-block:: python GuiOptions = TypedDict( 'GuiOptions', {'language': str, 'color': str}, total=False) options: GuiOptions = {} # Okay options['language'] = 'en' You may need to use :py:meth:`~dict.get` to access items of a partial (non-total) ``TypedDict``, since indexing using ``[]`` could fail at runtime. However, mypy still lets use ``[]`` with a partial ``TypedDict`` -- you just need to be careful with it, as it could result in a :py:exc:`KeyError`. Requiring :py:meth:`~dict.get` everywhere would be too cumbersome. (Note that you are free to use :py:meth:`~dict.get` with total ``TypedDict``\s as well.) Keys that aren't required are shown with a ``?`` in error messages: .. code-block:: python # Revealed type is "TypedDict('GuiOptions', {'language'?: builtins.str, # 'color'?: builtins.str})" reveal_type(options) Totality also affects structural compatibility. You can't use a partial ``TypedDict`` when a total one is expected. Also, a total ``TypedDict`` is not valid when a partial one is expected. Supported operations -------------------- ``TypedDict`` objects support a subset of dictionary operations and methods. You must use string literals as keys when calling most of the methods, as otherwise mypy won't be able to check that the key is valid. List of supported operations: * Anything included in :py:class:`~collections.abc.Mapping`: * ``d[key]`` * ``key in d`` * ``len(d)`` * ``for key in d`` (iteration) * :py:meth:`d.get(key[, default]) ` * :py:meth:`d.keys() ` * :py:meth:`d.values() ` * :py:meth:`d.items() ` * :py:meth:`d.copy() ` * :py:meth:`d.setdefault(key, default) ` * :py:meth:`d1.update(d2) ` * :py:meth:`d.pop(key[, default]) ` (partial ``TypedDict``\s only) * ``del d[key]`` (partial ``TypedDict``\s only) .. note:: :py:meth:`~dict.clear` and :py:meth:`~dict.popitem` are not supported since they are unsafe -- they could delete required ``TypedDict`` items that are not visible to mypy because of structural subtyping. Class-based syntax ------------------ An alternative, class-based syntax to define a ``TypedDict`` is supported in Python 3.6 and later: .. code-block:: python from typing import TypedDict # "from typing_extensions" in Python 3.7 and earlier class Movie(TypedDict): name: str year: int The above definition is equivalent to the original ``Movie`` definition. It doesn't actually define a real class. This syntax also supports a form of inheritance -- subclasses can define additional items. However, this is primarily a notational shortcut. Since mypy uses structural compatibility with ``TypedDict``\s, inheritance is not required for compatibility. Here is an example of inheritance: .. code-block:: python class Movie(TypedDict): name: str year: int class BookBasedMovie(Movie): based_on: str Now ``BookBasedMovie`` has keys ``name``, ``year`` and ``based_on``. Mixing required and non-required items -------------------------------------- In addition to allowing reuse across ``TypedDict`` types, inheritance also allows you to mix required and non-required (using ``total=False``) items in a single ``TypedDict``. Example: .. code-block:: python class MovieBase(TypedDict): name: str year: int class Movie(MovieBase, total=False): based_on: str Now ``Movie`` has required keys ``name`` and ``year``, while ``based_on`` can be left out when constructing an object. A ``TypedDict`` with a mix of required and non-required keys, such as ``Movie`` above, will only be compatible with another ``TypedDict`` if all required keys in the other ``TypedDict`` are required keys in the first ``TypedDict``, and all non-required keys of the other ``TypedDict`` are also non-required keys in the first ``TypedDict``. Read-only items --------------- You can use ``typing.ReadOnly``, introduced in Python 3.13, or ``typing_extensions.ReadOnly`` to mark TypedDict items as read-only (:pep:`705`): .. code-block:: python from typing import TypedDict # Or "from typing ..." on Python 3.13+ from typing_extensions import ReadOnly class Movie(TypedDict): name: ReadOnly[str] num_watched: int m: Movie = {"name": "Jaws", "num_watched": 1} m["name"] = "The Godfather" # Error: "name" is read-only m["num_watched"] += 1 # OK A TypedDict with a mutable item can be assigned to a TypedDict with a corresponding read-only item, and the type of the item can vary :ref:`covariantly `: .. code-block:: python class Entry(TypedDict): name: ReadOnly[str | None] year: ReadOnly[int] class Movie(TypedDict): name: str year: int def process_entry(i: Entry) -> None: ... m: Movie = {"name": "Jaws", "year": 1975} process_entry(m) # OK Unions of TypedDicts -------------------- Since TypedDicts are really just regular dicts at runtime, it is not possible to use ``isinstance`` checks to distinguish between different variants of a Union of TypedDict in the same way you can with regular objects. Instead, you can use the :ref:`tagged union pattern `. The referenced section of the docs has a full description with an example, but in short, you will need to give each TypedDict the same key where each value has a unique :ref:`Literal type `. Then, check that key to distinguish between your TypedDicts. Inline TypedDict types ---------------------- .. note:: This is an experimental (non-standard) feature. Use ``--enable-incomplete-feature=InlineTypedDict`` to enable. Sometimes you may want to define a complex nested JSON schema, or annotate a one-off function that returns a TypedDict. In such cases it may be convenient to use inline TypedDict syntax. For example: .. code-block:: python def test_values() -> {"width": int, "description": str}: return {"width": 42, "description": "test"} class Response(TypedDict): status: int msg: str # Using inline syntax here avoids defining two additional TypedDicts. content: {"items": list[{"key": str, "value": str}]} Inline TypedDicts can also by used as targets of type aliases, but due to ambiguity with a regular variables it is only allowed for (newer) explicit type alias forms: .. code-block:: python from typing import TypeAlias X = {"a": int, "b": int} # creates a variable with type dict[str, type[int]] Y: TypeAlias = {"a": int, "b": int} # creates a type alias type Z = {"a": int, "b": int} # same as above (Python 3.12+ only) Also, due to incompatibility with runtime type-checking it is strongly recommended to *not* use inline syntax in union types. ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4767644 mypy-1.19.0/mypy/0000755000175100017510000000000015112310011013225 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/__init__.py0000644000175100017510000000004515112307767015365 0ustar00runnerrunner# This page intentionally left blank ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/__main__.py0000644000175100017510000000204515112307767015350 0ustar00runnerrunner"""Mypy type checker command line tool.""" from __future__ import annotations import os import sys import traceback from mypy.main import main, process_options from mypy.util import FancyFormatter def console_entry() -> None: try: main() sys.stdout.flush() sys.stderr.flush() except BrokenPipeError: # Python flushes standard streams on exit; redirect remaining output # to devnull to avoid another BrokenPipeError at shutdown devnull = os.open(os.devnull, os.O_WRONLY) os.dup2(devnull, sys.stdout.fileno()) sys.exit(2) except KeyboardInterrupt: _, options = process_options(args=sys.argv[1:]) if options.show_traceback: sys.stdout.write(traceback.format_exc()) formatter = FancyFormatter(sys.stdout, sys.stderr, False) msg = "Interrupted\n" sys.stdout.write(formatter.style(msg, color="red", bold=True)) sys.stdout.flush() sys.stderr.flush() sys.exit(2) if __name__ == "__main__": console_entry() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/api.py0000644000175100017510000000555215112307767014407 0ustar00runnerrunner"""This module makes it possible to use mypy as part of a Python application. Since mypy still changes, the API was kept utterly simple and non-intrusive. It just mimics command line activation without starting a new interpreter. So the normal docs about the mypy command line apply. Changes in the command line version of mypy will be immediately usable. Just import this module and then call the 'run' function with a parameter of type List[str], containing what normally would have been the command line arguments to mypy. Function 'run' returns a Tuple[str, str, int], namely (, , ), in which is what mypy normally writes to sys.stdout, is what mypy normally writes to sys.stderr and exit_status is the exit status mypy normally returns to the operating system. Any pretty formatting is left to the caller. The 'run_dmypy' function is similar, but instead mimics invocation of dmypy. Note that run_dmypy is not thread-safe and modifies sys.stdout and sys.stderr during its invocation. Note that these APIs don't support incremental generation of error messages. Trivial example of code using this module: import sys from mypy import api result = api.run(sys.argv[1:]) if result[0]: print('\nType checking report:\n') print(result[0]) # stdout if result[1]: print('\nError report:\n') print(result[1]) # stderr print('\nExit status:', result[2]) """ from __future__ import annotations import sys from io import StringIO from typing import Callable, TextIO def _run(main_wrapper: Callable[[TextIO, TextIO], None]) -> tuple[str, str, int]: stdout = StringIO() stderr = StringIO() try: main_wrapper(stdout, stderr) exit_status = 0 except SystemExit as system_exit: assert isinstance(system_exit.code, int) exit_status = system_exit.code return stdout.getvalue(), stderr.getvalue(), exit_status def run(args: list[str]) -> tuple[str, str, int]: # Lazy import to avoid needing to import all of mypy to call run_dmypy from mypy.main import main return _run( lambda stdout, stderr: main(args=args, stdout=stdout, stderr=stderr, clean_exit=True) ) def run_dmypy(args: list[str]) -> tuple[str, str, int]: from mypy.dmypy.client import main # A bunch of effort has been put into threading stdout and stderr # through the main API to avoid the threadsafety problems of # modifying sys.stdout/sys.stderr, but that hasn't been done for # the dmypy client, so we just do the non-threadsafe thing. def f(stdout: TextIO, stderr: TextIO) -> None: old_stdout = sys.stdout old_stderr = sys.stderr try: sys.stdout = stdout sys.stderr = stderr main(args) finally: sys.stdout = old_stdout sys.stderr = old_stderr return _run(f) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/applytype.py0000644000175100017510000002742215112307767015665 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterable, Sequence from typing import Callable import mypy.subtypes from mypy.erasetype import erase_typevars from mypy.expandtype import expand_type from mypy.nodes import Context, TypeInfo from mypy.type_visitor import TypeTranslator from mypy.typeops import get_all_type_vars from mypy.types import ( AnyType, CallableType, Instance, Parameters, ParamSpecFlavor, ParamSpecType, PartialType, ProperType, Type, TypeAliasType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, UninhabitedType, UnpackType, get_proper_type, remove_dups, ) def get_target_type( tvar: TypeVarLikeType, type: Type, callable: CallableType, report_incompatible_typevar_value: Callable[[CallableType, Type, str, Context], None], context: Context, skip_unsatisfied: bool, ) -> Type | None: p_type = get_proper_type(type) if isinstance(p_type, UninhabitedType) and tvar.has_default(): return tvar.default if isinstance(tvar, ParamSpecType): return type if isinstance(tvar, TypeVarTupleType): return type assert isinstance(tvar, TypeVarType) values = tvar.values if values: if isinstance(p_type, AnyType): return type if isinstance(p_type, TypeVarType) and p_type.values: # Allow substituting T1 for T if every allowed value of T1 # is also a legal value of T. if all(any(mypy.subtypes.is_same_type(v, v1) for v in values) for v1 in p_type.values): return type matching = [] for value in values: if mypy.subtypes.is_subtype(type, value): matching.append(value) if matching: best = matching[0] # If there are more than one matching value, we select the narrowest for match in matching[1:]: if mypy.subtypes.is_subtype(match, best): best = match return best if skip_unsatisfied: return None report_incompatible_typevar_value(callable, type, tvar.name, context) else: upper_bound = tvar.upper_bound if tvar.name == "Self": # Internally constructed Self-types contain class type variables in upper bound, # so we need to erase them to avoid false positives. This is safe because we do # not support type variables in upper bounds of user defined types. upper_bound = erase_typevars(upper_bound) if not mypy.subtypes.is_subtype(type, upper_bound): if skip_unsatisfied: return None report_incompatible_typevar_value(callable, type, tvar.name, context) return type def apply_generic_arguments( callable: CallableType, orig_types: Sequence[Type | None], report_incompatible_typevar_value: Callable[[CallableType, Type, str, Context], None], context: Context, skip_unsatisfied: bool = False, ) -> CallableType: """Apply generic type arguments to a callable type. For example, applying [int] to 'def [T] (T) -> T' results in 'def (int) -> int'. Note that each type can be None; in this case, it will not be applied. If `skip_unsatisfied` is True, then just skip the types that don't satisfy type variable bound or constraints, instead of giving an error. """ tvars = callable.variables assert len(orig_types) <= len(tvars) # Check that inferred type variable values are compatible with allowed # values and bounds. Also, promote subtype values to allowed values. # Create a map from type variable id to target type. id_to_type: dict[TypeVarId, Type] = {} for tvar, type in zip(tvars, orig_types): assert not isinstance(type, PartialType), "Internal error: must never apply partial type" if type is None: continue target_type = get_target_type( tvar, type, callable, report_incompatible_typevar_value, context, skip_unsatisfied ) if target_type is not None: id_to_type[tvar.id] = target_type # TODO: validate arg_kinds/arg_names for ParamSpec and TypeVarTuple replacements, # not just type variable bounds above. param_spec = callable.param_spec() if param_spec is not None: nt = id_to_type.get(param_spec.id) if nt is not None: # ParamSpec expansion is special-cased, so we need to always expand callable # as a whole, not expanding arguments individually. callable = expand_type(callable, id_to_type) assert isinstance(callable, CallableType) return callable.copy_modified( variables=[tv for tv in tvars if tv.id not in id_to_type] ) # Apply arguments to argument types. var_arg = callable.var_arg() if var_arg is not None and isinstance(var_arg.typ, UnpackType): # Same as for ParamSpec, callable with variadic types needs to be expanded as a whole. callable = expand_type(callable, id_to_type) assert isinstance(callable, CallableType) return callable.copy_modified(variables=[tv for tv in tvars if tv.id not in id_to_type]) else: callable = callable.copy_modified( arg_types=[expand_type(at, id_to_type) for at in callable.arg_types] ) # Apply arguments to TypeGuard and TypeIs if any. if callable.type_guard is not None: type_guard = expand_type(callable.type_guard, id_to_type) else: type_guard = None if callable.type_is is not None: type_is = expand_type(callable.type_is, id_to_type) else: type_is = None # The callable may retain some type vars if only some were applied. # TODO: move apply_poly() logic here when new inference # becomes universally used (i.e. in all passes + in unification). # With this new logic we can actually *add* some new free variables. remaining_tvars: list[TypeVarLikeType] = [] for tv in tvars: if tv.id in id_to_type: continue if not tv.has_default(): remaining_tvars.append(tv) continue # TypeVarLike isn't in id_to_type mapping. # Only expand the TypeVar default here. typ = expand_type(tv, id_to_type) assert isinstance(typ, TypeVarLikeType) remaining_tvars.append(typ) return callable.copy_modified( ret_type=expand_type(callable.ret_type, id_to_type), variables=remaining_tvars, type_guard=type_guard, type_is=type_is, ) def apply_poly(tp: CallableType, poly_tvars: Sequence[TypeVarLikeType]) -> CallableType | None: """Make free type variables generic in the type if possible. This will translate the type `tp` while trying to create valid bindings for type variables `poly_tvars` while traversing the type. This follows the same rules as we do during semantic analysis phase, examples: * Callable[Callable[[T], T], T] -> def [T] (def (T) -> T) -> T * Callable[[], Callable[[T], T]] -> def () -> def [T] (T -> T) * List[T] -> None (not possible) """ try: return tp.copy_modified( arg_types=[t.accept(PolyTranslator(poly_tvars)) for t in tp.arg_types], ret_type=tp.ret_type.accept(PolyTranslator(poly_tvars)), variables=[], ) except PolyTranslationError: return None class PolyTranslationError(Exception): pass class PolyTranslator(TypeTranslator): """Make free type variables generic in the type if possible. See docstring for apply_poly() for details. """ def __init__( self, poly_tvars: Iterable[TypeVarLikeType], bound_tvars: frozenset[TypeVarLikeType] = frozenset(), seen_aliases: frozenset[TypeInfo] = frozenset(), ) -> None: super().__init__() self.poly_tvars = set(poly_tvars) # This is a simplified version of TypeVarScope used during semantic analysis. self.bound_tvars = bound_tvars self.seen_aliases = seen_aliases def collect_vars(self, t: CallableType | Parameters) -> list[TypeVarLikeType]: found_vars = [] for arg in t.arg_types: for tv in get_all_type_vars(arg): if isinstance(tv, ParamSpecType): normalized: TypeVarLikeType = tv.copy_modified( flavor=ParamSpecFlavor.BARE, prefix=Parameters([], [], []) ) else: normalized = tv if normalized in self.poly_tvars and normalized not in self.bound_tvars: found_vars.append(normalized) return remove_dups(found_vars) def visit_callable_type(self, t: CallableType) -> Type: found_vars = self.collect_vars(t) self.bound_tvars |= set(found_vars) result = super().visit_callable_type(t) self.bound_tvars -= set(found_vars) assert isinstance(result, ProperType) and isinstance(result, CallableType) result.variables = result.variables + tuple(found_vars) return result def visit_type_var(self, t: TypeVarType) -> Type: if t in self.poly_tvars and t not in self.bound_tvars: raise PolyTranslationError() return super().visit_type_var(t) def visit_param_spec(self, t: ParamSpecType) -> Type: if t in self.poly_tvars and t not in self.bound_tvars: raise PolyTranslationError() return super().visit_param_spec(t) def visit_type_var_tuple(self, t: TypeVarTupleType) -> Type: if t in self.poly_tvars and t not in self.bound_tvars: raise PolyTranslationError() return super().visit_type_var_tuple(t) def visit_type_alias_type(self, t: TypeAliasType) -> Type: if not t.args: return t.copy_modified() if not t.is_recursive: return get_proper_type(t).accept(self) # We can't handle polymorphic application for recursive generic aliases # without risking an infinite recursion, just give up for now. raise PolyTranslationError() def visit_instance(self, t: Instance) -> Type: if t.type.has_param_spec_type: # We need this special-casing to preserve the possibility to store a # generic function in an instance type. Things like # forall T . Foo[[x: T], T] # are not really expressible in current type system, but this looks like # a useful feature, so let's keep it. param_spec_index = next( i for (i, tv) in enumerate(t.type.defn.type_vars) if isinstance(tv, ParamSpecType) ) p = get_proper_type(t.args[param_spec_index]) if isinstance(p, Parameters): found_vars = self.collect_vars(p) self.bound_tvars |= set(found_vars) new_args = [a.accept(self) for a in t.args] self.bound_tvars -= set(found_vars) repl = new_args[param_spec_index] assert isinstance(repl, ProperType) and isinstance(repl, Parameters) repl.variables = list(repl.variables) + list(found_vars) return t.copy_modified(args=new_args) # There is the same problem with callback protocols as with aliases # (callback protocols are essentially more flexible aliases to callables). if t.args and t.type.is_protocol and t.type.protocol_members == ["__call__"]: if t.type in self.seen_aliases: raise PolyTranslationError() call = mypy.subtypes.find_member("__call__", t, t, is_operator=True) assert call is not None return call.accept( PolyTranslator(self.poly_tvars, self.bound_tvars, self.seen_aliases | {t.type}) ) return super().visit_instance(t) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/argmap.py0000644000175100017510000002623515112307767015106 0ustar00runnerrunner"""Utilities for mapping between actual and formal arguments (and their types).""" from __future__ import annotations from collections.abc import Sequence from typing import TYPE_CHECKING, Callable from mypy import nodes from mypy.maptype import map_instance_to_supertype from mypy.types import ( AnyType, Instance, ParamSpecType, TupleType, Type, TypedDictType, TypeOfAny, TypeVarTupleType, UnpackType, get_proper_type, ) if TYPE_CHECKING: from mypy.infer import ArgumentInferContext def map_actuals_to_formals( actual_kinds: list[nodes.ArgKind], actual_names: Sequence[str | None] | None, formal_kinds: list[nodes.ArgKind], formal_names: Sequence[str | None], actual_arg_type: Callable[[int], Type], ) -> list[list[int]]: """Calculate mapping between actual (caller) args and formals. The result contains a list of caller argument indexes mapping to each callee argument index, indexed by callee index. The caller_arg_type argument should evaluate to the type of the actual argument type with the given index. """ nformals = len(formal_kinds) formal_to_actual: list[list[int]] = [[] for i in range(nformals)] ambiguous_actual_kwargs: list[int] = [] fi = 0 for ai, actual_kind in enumerate(actual_kinds): if actual_kind == nodes.ARG_POS: if fi < nformals: if not formal_kinds[fi].is_star(): formal_to_actual[fi].append(ai) fi += 1 elif formal_kinds[fi] == nodes.ARG_STAR: formal_to_actual[fi].append(ai) elif actual_kind == nodes.ARG_STAR: # We need to know the actual type to map varargs. actualt = get_proper_type(actual_arg_type(ai)) if isinstance(actualt, TupleType): # A tuple actual maps to a fixed number of formals. for _ in range(len(actualt.items)): if fi < nformals: if formal_kinds[fi] != nodes.ARG_STAR2: formal_to_actual[fi].append(ai) else: break if formal_kinds[fi] != nodes.ARG_STAR: fi += 1 else: # Assume that it is an iterable (if it isn't, there will be # an error later). while fi < nformals: if formal_kinds[fi].is_named(star=True): break else: formal_to_actual[fi].append(ai) if formal_kinds[fi] == nodes.ARG_STAR: break fi += 1 elif actual_kind.is_named(): assert actual_names is not None, "Internal error: named kinds without names given" name = actual_names[ai] if name in formal_names and formal_kinds[formal_names.index(name)] != nodes.ARG_STAR: formal_to_actual[formal_names.index(name)].append(ai) elif nodes.ARG_STAR2 in formal_kinds: formal_to_actual[formal_kinds.index(nodes.ARG_STAR2)].append(ai) else: assert actual_kind == nodes.ARG_STAR2 actualt = get_proper_type(actual_arg_type(ai)) if isinstance(actualt, TypedDictType): for name in actualt.items: if name in formal_names: formal_to_actual[formal_names.index(name)].append(ai) elif nodes.ARG_STAR2 in formal_kinds: formal_to_actual[formal_kinds.index(nodes.ARG_STAR2)].append(ai) else: # We don't exactly know which **kwargs are provided by the # caller, so we'll defer until all the other unambiguous # actuals have been processed ambiguous_actual_kwargs.append(ai) if ambiguous_actual_kwargs: # Assume the ambiguous kwargs will fill the remaining arguments. # # TODO: If there are also tuple varargs, we might be missing some potential # matches if the tuple was short enough to not match everything. unmatched_formals = [ fi for fi in range(nformals) if ( formal_names[fi] and ( not formal_to_actual[fi] or actual_kinds[formal_to_actual[fi][0]] == nodes.ARG_STAR ) and formal_kinds[fi] != nodes.ARG_STAR ) or formal_kinds[fi] == nodes.ARG_STAR2 ] for ai in ambiguous_actual_kwargs: for fi in unmatched_formals: formal_to_actual[fi].append(ai) return formal_to_actual def map_formals_to_actuals( actual_kinds: list[nodes.ArgKind], actual_names: Sequence[str | None] | None, formal_kinds: list[nodes.ArgKind], formal_names: list[str | None], actual_arg_type: Callable[[int], Type], ) -> list[list[int]]: """Calculate the reverse mapping of map_actuals_to_formals.""" formal_to_actual = map_actuals_to_formals( actual_kinds, actual_names, formal_kinds, formal_names, actual_arg_type ) # Now reverse the mapping. actual_to_formal: list[list[int]] = [[] for _ in actual_kinds] for formal, actuals in enumerate(formal_to_actual): for actual in actuals: actual_to_formal[actual].append(formal) return actual_to_formal class ArgTypeExpander: """Utility class for mapping actual argument types to formal arguments. One of the main responsibilities is to expand caller tuple *args and TypedDict **kwargs, and to keep track of which tuple/TypedDict items have already been consumed. Example: def f(x: int, *args: str) -> None: ... f(*(1, 'x', 1.1)) We'd call expand_actual_type three times: 1. The first call would provide 'int' as the actual type of 'x' (from '1'). 2. The second call would provide 'str' as one of the actual types for '*args'. 2. The third call would provide 'float' as one of the actual types for '*args'. A single instance can process all the arguments for a single call. Each call needs a separate instance since instances have per-call state. """ def __init__(self, context: ArgumentInferContext) -> None: # Next tuple *args index to use. self.tuple_index = 0 # Keyword arguments in TypedDict **kwargs used. self.kwargs_used: set[str] | None = None # Type context for `*` and `**` arg kinds. self.context = context def expand_actual_type( self, actual_type: Type, actual_kind: nodes.ArgKind, formal_name: str | None, formal_kind: nodes.ArgKind, allow_unpack: bool = False, ) -> Type: """Return the actual (caller) type(s) of a formal argument with the given kinds. If the actual argument is a tuple *args, return the next individual tuple item that maps to the formal arg. If the actual argument is a TypedDict **kwargs, return the next matching typed dict value type based on formal argument name and kind. This is supposed to be called for each formal, in order. Call multiple times per formal if multiple actuals map to a formal. """ original_actual = actual_type actual_type = get_proper_type(actual_type) if actual_kind == nodes.ARG_STAR: if isinstance(actual_type, TypeVarTupleType): # This code path is hit when *Ts is passed to a callable and various # special-handling didn't catch this. The best thing we can do is to use # the upper bound. actual_type = get_proper_type(actual_type.upper_bound) if isinstance(actual_type, Instance) and actual_type.args: from mypy.subtypes import is_subtype if is_subtype(actual_type, self.context.iterable_type): return map_instance_to_supertype( actual_type, self.context.iterable_type.type ).args[0] else: # We cannot properly unpack anything other # than `Iterable` type with `*`. # Just return `Any`, other parts of code would raise # a different error for improper use. return AnyType(TypeOfAny.from_error) elif isinstance(actual_type, TupleType): # Get the next tuple item of a tuple *arg. if self.tuple_index >= len(actual_type.items): # Exhausted a tuple -- continue to the next *args. self.tuple_index = 1 else: self.tuple_index += 1 item = actual_type.items[self.tuple_index - 1] if isinstance(item, UnpackType) and not allow_unpack: # An unpack item that doesn't have special handling, use upper bound as above. unpacked = get_proper_type(item.type) if isinstance(unpacked, TypeVarTupleType): fallback = get_proper_type(unpacked.upper_bound) else: fallback = unpacked assert ( isinstance(fallback, Instance) and fallback.type.fullname == "builtins.tuple" ) item = fallback.args[0] return item elif isinstance(actual_type, ParamSpecType): # ParamSpec is valid in *args but it can't be unpacked. return actual_type else: return AnyType(TypeOfAny.from_error) elif actual_kind == nodes.ARG_STAR2: from mypy.subtypes import is_subtype if isinstance(actual_type, TypedDictType): if self.kwargs_used is None: self.kwargs_used = set() if formal_kind != nodes.ARG_STAR2 and formal_name in actual_type.items: # Lookup type based on keyword argument name. assert formal_name is not None else: # Pick an arbitrary item if no specified keyword is expected. formal_name = (set(actual_type.items.keys()) - self.kwargs_used).pop() self.kwargs_used.add(formal_name) return actual_type.items[formal_name] elif isinstance(actual_type, Instance) and is_subtype( actual_type, self.context.mapping_type ): # Only `Mapping` type can be unpacked with `**`. # Other types will produce an error somewhere else. return map_instance_to_supertype(actual_type, self.context.mapping_type.type).args[ 1 ] elif isinstance(actual_type, ParamSpecType): # ParamSpec is valid in **kwargs but it can't be unpacked. return actual_type else: return AnyType(TypeOfAny.from_error) else: # No translation for other kinds -- 1:1 mapping. return original_actual ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/binder.py0000644000175100017510000006137315112307767015104 0ustar00runnerrunnerfrom __future__ import annotations from collections import defaultdict from collections.abc import Iterator from contextlib import contextmanager from typing import NamedTuple, Optional, Union from typing_extensions import TypeAlias as _TypeAlias from mypy.erasetype import remove_instance_last_known_values from mypy.literals import Key, extract_var_from_literal_hash, literal, literal_hash, subkeys from mypy.nodes import ( LITERAL_NO, Expression, IndexExpr, MemberExpr, NameExpr, RefExpr, TypeInfo, Var, ) from mypy.options import Options from mypy.subtypes import is_same_type, is_subtype from mypy.typeops import make_simplified_union from mypy.types import ( AnyType, Instance, NoneType, PartialType, ProperType, TupleType, Type, TypeOfAny, TypeType, TypeVarType, UnionType, UnpackType, find_unpack_in_list, get_proper_type, ) from mypy.typevars import fill_typevars_with_any BindableExpression: _TypeAlias = Union[IndexExpr, MemberExpr, NameExpr] class CurrentType(NamedTuple): type: Type from_assignment: bool class Frame: """A Frame represents a specific point in the execution of a program. It carries information about the current types of expressions at that point, arising either from assignments to those expressions or the result of isinstance checks and other type narrowing operations. It also records whether it is possible to reach that point at all. We add a new frame wherenever there is a new scope or control flow branching. This information is not copied into a new Frame when it is pushed onto the stack, so a given Frame only has information about types that were assigned in that frame. Expressions are stored in dicts using 'literal hashes' as keys (type "Key"). These are hashable values derived from expression AST nodes (only those that can be narrowed). literal_hash(expr) is used to calculate the hashes. Note that this isn't directly related to literal types -- the concept predates literal types. """ def __init__(self, id: int, conditional_frame: bool = False) -> None: self.id = id self.types: dict[Key, CurrentType] = {} self.unreachable = False self.conditional_frame = conditional_frame self.suppress_unreachable_warnings = False def __repr__(self) -> str: return f"Frame({self.id}, {self.types}, {self.unreachable}, {self.conditional_frame})" Assigns = defaultdict[Expression, list[tuple[Type, Optional[Type]]]] class ConditionalTypeBinder: """Keep track of conditional types of variables. NB: Variables are tracked by literal hashes of expressions, so it is possible to confuse the binder when there is aliasing. Example: class A: a: int | str x = A() lst = [x] reveal_type(x.a) # int | str x.a = 1 reveal_type(x.a) # int reveal_type(lst[0].a) # int | str lst[0].a = 'a' reveal_type(x.a) # int reveal_type(lst[0].a) # str """ # Stored assignments for situations with tuple/list lvalue and rvalue of union type. # This maps an expression to a list of bound types for every item in the union type. type_assignments: Assigns | None = None def __init__(self, options: Options) -> None: # Each frame gets an increasing, distinct id. self.next_id = 1 # The stack of frames currently used. These map # literal_hash(expr) -- literals like 'foo.bar' -- # to types. The last element of this list is the # top-most, current frame. Each earlier element # records the state as of when that frame was last # on top of the stack. self.frames = [Frame(self._get_id())] # For frames higher in the stack, we record the set of # Frames that can escape there, either by falling off # the end of the frame or by a loop control construct # or raised exception. The last element of self.frames # has no corresponding element in this list. self.options_on_return: list[list[Frame]] = [] # Maps literal_hash(expr) to get_declaration(expr) # for every expr stored in the binder self.declarations: dict[Key, Type | None] = {} # Set of other keys to invalidate if a key is changed, e.g. x -> {x.a, x[0]} # Whenever a new key (e.g. x.a.b) is added, we update this self.dependencies: dict[Key, set[Key]] = {} # Whether the last pop changed the newly top frame on exit self.last_pop_changed = False # These are used to track control flow in try statements and loops. self.try_frames: set[int] = set() self.break_frames: list[int] = [] self.continue_frames: list[int] = [] # If True, initial assignment to a simple variable (e.g. "x", but not "x.y") # is added to the binder. This allows more precise narrowing and more # flexible inference of variable types (--allow-redefinition-new). self.bind_all = options.allow_redefinition_new # This tracks any externally visible changes in binder to invalidate # expression caches when needed. self.version = 0 def _get_id(self) -> int: self.next_id += 1 return self.next_id def _add_dependencies(self, key: Key, value: Key | None = None) -> None: if value is None: value = key else: self.dependencies.setdefault(key, set()).add(value) for elt in subkeys(key): self._add_dependencies(elt, value) def push_frame(self, conditional_frame: bool = False) -> Frame: """Push a new frame into the binder.""" f = Frame(self._get_id(), conditional_frame) self.frames.append(f) self.options_on_return.append([]) return f def _put(self, key: Key, type: Type, from_assignment: bool, index: int = -1) -> None: self.version += 1 self.frames[index].types[key] = CurrentType(type, from_assignment) def _get(self, key: Key, index: int = -1) -> CurrentType | None: if index < 0: index += len(self.frames) for i in range(index, -1, -1): if key in self.frames[i].types: return self.frames[i].types[key] return None @classmethod def can_put_directly(cls, expr: Expression) -> bool: """Will `.put()` on this expression be successful? This is inlined in `.put()` because the logic is rather hot and must be kept in sync. """ return isinstance(expr, (IndexExpr, MemberExpr, NameExpr)) and literal(expr) > LITERAL_NO def put(self, expr: Expression, typ: Type, *, from_assignment: bool = True) -> None: """Directly set the narrowed type of expression (if it supports it). This is used for isinstance() etc. Assignments should go through assign_type(). """ if not isinstance(expr, (IndexExpr, MemberExpr, NameExpr)): return if not literal(expr): return key = literal_hash(expr) assert key is not None, "Internal error: binder tried to put non-literal" if key not in self.declarations: self.declarations[key] = get_declaration(expr) self._add_dependencies(key) self._put(key, typ, from_assignment) def unreachable(self) -> None: self.version += 1 self.frames[-1].unreachable = True def suppress_unreachable_warnings(self) -> None: self.frames[-1].suppress_unreachable_warnings = True def get(self, expr: Expression) -> Type | None: key = literal_hash(expr) assert key is not None, "Internal error: binder tried to get non-literal" found = self._get(key) if found is None: return None return found.type def is_unreachable(self) -> bool: # TODO: Copy the value of unreachable into new frames to avoid # this traversal on every statement? return any(f.unreachable for f in self.frames) def is_unreachable_warning_suppressed(self) -> bool: return any(f.suppress_unreachable_warnings for f in self.frames) def cleanse(self, expr: Expression) -> None: """Remove all references to a Node from the binder.""" key = literal_hash(expr) assert key is not None, "Internal error: binder tried cleanse non-literal" self._cleanse_key(key) def _cleanse_key(self, key: Key) -> None: """Remove all references to a key from the binder.""" for frame in self.frames: if key in frame.types: del frame.types[key] def update_from_options(self, frames: list[Frame]) -> bool: """Update the frame to reflect that each key will be updated as in one of the frames. Return whether any item changes. If a key is declared as AnyType, only update it if all the options are the same. """ all_reachable = all(not f.unreachable for f in frames) if not all_reachable: frames = [f for f in frames if not f.unreachable] changed = False keys = [key for f in frames for key in f.types] if len(keys) > 1: keys = list(set(keys)) for key in keys: current_value = self._get(key) resulting_values = [f.types.get(key, current_value) for f in frames] # Keys can be narrowed using two different semantics. The new semantics # is enabled for plain variables when bind_all is true, and it allows # variable types to be widened using subsequent assignments. This is # tricky to support for instance attributes (primarily due to deferrals), # so we don't use it for them. old_semantics = not self.bind_all or extract_var_from_literal_hash(key) is None if old_semantics and any(x is None for x in resulting_values): # We didn't know anything about key before # (current_value must be None), and we still don't # know anything about key in at least one possible frame. continue resulting_values = [x for x in resulting_values if x is not None] if all_reachable and all( x is not None and not x.from_assignment for x in resulting_values ): # Do not synthesize a new type if we encountered a conditional block # (if, while or match-case) without assignments. # See check-isinstance.test::testNoneCheckDoesNotMakeTypeVarOptional # This is a safe assumption: the fact that we checked something with `is` # or `isinstance` does not change the type of the value. continue current_type = resulting_values[0] assert current_type is not None type = current_type.type declaration_type = get_proper_type(self.declarations.get(key)) if isinstance(declaration_type, AnyType): # At this point resulting values can't contain None, see continue above if not all( t is not None and is_same_type(type, t.type) for t in resulting_values[1:] ): type = AnyType(TypeOfAny.from_another_any, source_any=declaration_type) else: possible_types = [] for t in resulting_values: assert t is not None possible_types.append(t.type) if len(possible_types) == 1: # This is to avoid calling get_proper_type() unless needed, as this may # interfere with our (hacky) TypeGuard support. type = possible_types[0] else: type = make_simplified_union(possible_types) # Legacy guard for corner case when the original type is TypeVarType. if isinstance(declaration_type, TypeVarType) and not is_subtype( type, declaration_type ): type = declaration_type # Try simplifying resulting type for unions involving variadic tuples. # Technically, everything is still valid without this step, but if we do # not do this, this may create long unions after exiting an if check like: # x: tuple[int, ...] # if len(x) < 10: # ... # We want the type of x to be tuple[int, ...] after this block (if it is # still equivalent to such type). if isinstance(type, UnionType): type = collapse_variadic_union(type) if ( old_semantics and isinstance(type, ProperType) and isinstance(type, UnionType) ): # Simplify away any extra Any's that were added to the declared # type when popping a frame. simplified = UnionType.make_union( [t for t in type.items if not isinstance(get_proper_type(t), AnyType)] ) if simplified == self.declarations[key]: type = simplified if current_value is None or not is_same_type(type, current_value.type): self._put(key, type, from_assignment=True) changed = True self.frames[-1].unreachable = not frames return changed def pop_frame(self, can_skip: bool, fall_through: int) -> Frame: """Pop a frame and return it. See frame_context() for documentation of fall_through. """ if fall_through > 0: self.allow_jump(-fall_through) result = self.frames.pop() options = self.options_on_return.pop() if can_skip: options.insert(0, self.frames[-1]) self.last_pop_changed = self.update_from_options(options) return result @contextmanager def accumulate_type_assignments(self) -> Iterator[Assigns]: """Push a new map to collect assigned types in multiassign from union. If this map is not None, actual binding is deferred until all items in the union are processed (a union of collected items is later bound manually by the caller). """ old_assignments = None if self.type_assignments is not None: old_assignments = self.type_assignments self.type_assignments = defaultdict(list) yield self.type_assignments self.type_assignments = old_assignments def assign_type(self, expr: Expression, type: Type, declared_type: Type | None) -> None: """Narrow type of expression through an assignment. Do nothing if the expression doesn't support narrowing. When not narrowing though an assignment (isinstance() etc.), use put() directly. This omits some special-casing logic for assignments. """ # We should erase last known value in binder, because if we are using it, # it means that the target is not final, and therefore can't hold a literal. type = remove_instance_last_known_values(type) if self.type_assignments is not None: # We are in a multiassign from union, defer the actual binding, # just collect the types. self.type_assignments[expr].append((type, declared_type)) return if not isinstance(expr, (IndexExpr, MemberExpr, NameExpr)): return if not literal(expr): return self.invalidate_dependencies(expr) if declared_type is None: # Not sure why this happens. It seems to mainly happen in # member initialization. return if not is_subtype(type, declared_type): # Pretty sure this is only happens when there's a type error. # Ideally this function wouldn't be called if the # expression has a type error, though -- do other kinds of # errors cause this function to get called at invalid # times? return p_declared = get_proper_type(declared_type) p_type = get_proper_type(type) if isinstance(p_type, AnyType): # Any type requires some special casing, for both historical reasons, # and to optimise user experience without sacrificing correctness too much. if isinstance(expr, RefExpr) and isinstance(expr.node, Var) and expr.node.is_inferred: # First case: a local/global variable without explicit annotation, # in this case we just assign Any (essentially following the SSA logic). self.put(expr, type) elif isinstance(p_declared, UnionType) and any( isinstance(get_proper_type(item), NoneType) for item in p_declared.items ): # Second case: explicit optional type, in this case we optimize for a common # pattern when an untyped value used as a fallback replacing None. new_items = [ type if isinstance(get_proper_type(item), NoneType) else item for item in p_declared.items ] self.put(expr, UnionType(new_items)) elif isinstance(p_declared, UnionType) and any( isinstance(get_proper_type(item), AnyType) for item in p_declared.items ): # Third case: a union already containing Any (most likely from an un-imported # name), in this case we allow assigning Any as well. self.put(expr, type) else: # In all other cases we don't narrow to Any to minimize false negatives. self.put(expr, declared_type) elif isinstance(p_declared, AnyType): # Mirroring the first case above, we don't narrow to a precise type if the variable # has an explicit `Any` type annotation. if isinstance(expr, RefExpr) and isinstance(expr.node, Var) and expr.node.is_inferred: self.put(expr, type) else: self.put(expr, declared_type) else: self.put(expr, type) for i in self.try_frames: # XXX This should probably not copy the entire frame, but # just copy this variable into a single stored frame. self.allow_jump(i) def invalidate_dependencies(self, expr: BindableExpression) -> None: """Invalidate knowledge of types that include expr, but not expr itself. For example, when expr is foo.bar, invalidate foo.bar.baz. It is overly conservative: it invalidates globally, including in code paths unreachable from here. """ key = literal_hash(expr) assert key is not None for dep in self.dependencies.get(key, set()): self._cleanse_key(dep) def allow_jump(self, index: int) -> None: # self.frames and self.options_on_return have different lengths # so make sure the index is positive if index < 0: index += len(self.options_on_return) frame = Frame(self._get_id()) for f in self.frames[index + 1 :]: frame.types.update(f.types) if f.unreachable: frame.unreachable = True self.options_on_return[index].append(frame) def handle_break(self) -> None: self.allow_jump(self.break_frames[-1]) self.unreachable() def handle_continue(self) -> None: self.allow_jump(self.continue_frames[-1]) self.unreachable() @contextmanager def frame_context( self, *, can_skip: bool, fall_through: int = 1, break_frame: int = 0, continue_frame: int = 0, conditional_frame: bool = False, try_frame: bool = False, ) -> Iterator[Frame]: """Return a context manager that pushes/pops frames on enter/exit. If can_skip is True, control flow is allowed to bypass the newly-created frame. If fall_through > 0, then it will allow control flow that falls off the end of the frame to escape to its ancestor `fall_through` levels higher. Otherwise control flow ends at the end of the frame. If break_frame > 0, then 'break' statements within this frame will jump out to the frame break_frame levels higher than the frame created by this call to frame_context. Similarly for continue_frame and 'continue' statements. If try_frame is true, then execution is allowed to jump at any point within the newly created frame (or its descendants) to its parent (i.e., to the frame that was on top before this call to frame_context). After the context manager exits, self.last_pop_changed indicates whether any types changed in the newly-topmost frame as a result of popping this frame. """ assert len(self.frames) > 1 if break_frame: self.break_frames.append(len(self.frames) - break_frame) if continue_frame: self.continue_frames.append(len(self.frames) - continue_frame) if try_frame: self.try_frames.add(len(self.frames) - 1) new_frame = self.push_frame(conditional_frame) if try_frame: # An exception may occur immediately self.allow_jump(-1) yield new_frame self.pop_frame(can_skip, fall_through) if break_frame: self.break_frames.pop() if continue_frame: self.continue_frames.pop() if try_frame: self.try_frames.remove(len(self.frames) - 1) @contextmanager def top_frame_context(self) -> Iterator[Frame]: """A variant of frame_context for use at the top level of a namespace (module, function, or class). """ assert len(self.frames) == 1 yield self.push_frame() self.pop_frame(True, 0) assert len(self.frames) == 1 def get_declaration(expr: BindableExpression) -> Type | None: """Get the declared or inferred type of a RefExpr expression. Return None if there is no type or the expression is not a RefExpr. This can return None if the type hasn't been inferred yet. """ if isinstance(expr, RefExpr): if isinstance(expr.node, Var): type = expr.node.type if not isinstance(get_proper_type(type), PartialType): return type elif isinstance(expr.node, TypeInfo): return TypeType(fill_typevars_with_any(expr.node)) return None def collapse_variadic_union(typ: UnionType) -> Type: """Simplify a union involving variadic tuple if possible. This will collapse a type like e.g. tuple[X, Z] | tuple[X, Y, Z] | tuple[X, Y, Y, *tuple[Y, ...], Z] back to tuple[X, *tuple[Y, ...], Z] which is equivalent, but much simpler form of the same type. """ tuple_items = [] other_items = [] for t in typ.items: p_t = get_proper_type(t) if isinstance(p_t, TupleType): tuple_items.append(p_t) else: other_items.append(t) if len(tuple_items) <= 1: # This type cannot be simplified further. return typ tuple_items = sorted(tuple_items, key=lambda t: len(t.items)) first = tuple_items[0] last = tuple_items[-1] unpack_index = find_unpack_in_list(last.items) if unpack_index is None: return typ unpack = last.items[unpack_index] assert isinstance(unpack, UnpackType) unpacked = get_proper_type(unpack.type) if not isinstance(unpacked, Instance): return typ assert unpacked.type.fullname == "builtins.tuple" suffix = last.items[unpack_index + 1 :] # Check that first item matches the expected pattern and infer prefix. if len(first.items) < len(suffix): return typ if suffix and first.items[-len(suffix) :] != suffix: return typ if suffix: prefix = first.items[: -len(suffix)] else: prefix = first.items # Check that all middle types match the expected pattern as well. arg = unpacked.args[0] for i, it in enumerate(tuple_items[1:-1]): if it.items != prefix + [arg] * (i + 1) + suffix: return typ # Check the last item (the one with unpack), and choose an appropriate simplified type. if last.items != prefix + [arg] * (len(typ.items) - 1) + [unpack] + suffix: return typ if len(first.items) == 0: simplified: Type = unpacked.copy_modified() else: simplified = TupleType(prefix + [unpack] + suffix, fallback=last.partial_fallback) return UnionType.make_union([simplified] + other_items) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/bogus_type.py0000644000175100017510000000146015112307767016010 0ustar00runnerrunner"""A Bogus[T] type alias for marking when we subvert the type system We need this for compiling with mypyc, which inserts runtime typechecks that cause problems when we subvert the type system. So when compiling with mypyc, we turn those places into Any, while keeping the types around for normal typechecks. Since this causes the runtime types to be Any, this is best used in places where efficient access to properties is not important. For those cases some other technique should be used. """ from __future__ import annotations from typing import Any, TypeVar from mypy_extensions import FlexibleAlias T = TypeVar("T") # This won't ever be true at runtime, but we consider it true during # mypyc compilations. MYPYC = False if MYPYC: Bogus = FlexibleAlias[T, Any] else: Bogus = FlexibleAlias[T, T] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/build.py0000644000175100017510000044250215112307767014735 0ustar00runnerrunner"""Facilities to analyze entire programs, including imported modules. Parse and analyze the source files of a program in the correct order (based on file dependencies), and collect the results. This module only directs a build, which is performed in multiple passes per file. The individual passes are implemented in separate modules. The function build() is the main interface to this module. """ # TODO: More consistent terminology, e.g. path/fnam, module/id, state/file from __future__ import annotations import collections import contextlib import gc import json import os import platform import re import stat import sys import time import types from collections.abc import Iterator, Mapping, Sequence, Set as AbstractSet from typing import TYPE_CHECKING, Any, Callable, ClassVar, Final, NoReturn, TextIO, TypedDict from typing_extensions import TypeAlias as _TypeAlias from librt.internal import cache_version import mypy.semanal_main from mypy.cache import CACHE_VERSION, CacheMeta, ReadBuffer, WriteBuffer from mypy.checker import TypeChecker from mypy.error_formatter import OUTPUT_CHOICES, ErrorFormatter from mypy.errors import CompileError, ErrorInfo, Errors, report_internal_error from mypy.graph_utils import prepare_sccs, strongly_connected_components, topsort from mypy.indirection import TypeIndirectionVisitor from mypy.messages import MessageBuilder from mypy.nodes import Import, ImportAll, ImportBase, ImportFrom, MypyFile, SymbolTable from mypy.partially_defined import PossiblyUndefinedVariableVisitor from mypy.semanal import SemanticAnalyzer from mypy.semanal_pass1 import SemanticAnalyzerPreAnalysis from mypy.util import ( DecodeError, decode_python_encoding, get_mypy_comments, hash_digest, hash_digest_bytes, is_stub_package_file, is_sub_path_normabs, is_typeshed_file, module_prefix, read_py_file, time_ref, time_spent_us, ) if TYPE_CHECKING: from mypy.report import Reports # Avoid unconditional slow import from mypy import errorcodes as codes from mypy.config_parser import parse_mypy_comments from mypy.fixup import fixup_module from mypy.freetree import free_tree from mypy.fscache import FileSystemCache from mypy.metastore import FilesystemMetadataStore, MetadataStore, SqliteMetadataStore from mypy.modulefinder import ( BuildSource as BuildSource, BuildSourceSet as BuildSourceSet, FindModuleCache, ModuleNotFoundReason, ModuleSearchResult, SearchPaths, compute_search_paths, ) from mypy.nodes import Expression from mypy.options import Options from mypy.parse import parse from mypy.plugin import ChainedPlugin, Plugin, ReportConfigContext from mypy.plugins.default import DefaultPlugin from mypy.renaming import LimitedVariableRenameVisitor, VariableRenameVisitor from mypy.stats import dump_type_stats from mypy.stubinfo import is_module_from_legacy_bundled_package, stub_distribution_name from mypy.types import Type, instance_cache from mypy.typestate import reset_global_state, type_state from mypy.util import json_dumps, json_loads from mypy.version import __version__ # Switch to True to produce debug output related to fine-grained incremental # mode only that is useful during development. This produces only a subset of # output compared to --verbose output. We use a global flag to enable this so # that it's easy to enable this when running tests. DEBUG_FINE_GRAINED: Final = False # These modules are special and should always come from typeshed. CORE_BUILTIN_MODULES: Final = { "builtins", "typing", "types", "typing_extensions", "mypy_extensions", "_typeshed", "_collections_abc", "collections", "collections.abc", "sys", "abc", } # We are careful now, we can increase this in future if safe/useful. MAX_GC_FREEZE_CYCLES = 1 Graph: _TypeAlias = dict[str, "State"] class SCC: """A simple class that represents a strongly connected component (import cycle).""" id_counter: ClassVar[int] = 0 def __init__(self, ids: set[str]) -> None: self.id = SCC.id_counter SCC.id_counter += 1 # Ids of modules in this cycle. self.mod_ids = ids # Direct dependencies, should be populated by the caller. self.deps: set[int] = set() # Direct dependencies that have not been processed yet. # Should be populated by the caller. This set may change during graph # processing, while the above stays constant. self.not_ready_deps: set[int] = set() # SCCs that (directly) depend on this SCC. Note this is a list to # make processing order more predictable. Dependents will be notified # that they may be ready in the order in this list. self.direct_dependents: list[int] = [] # TODO: Get rid of BuildResult. We might as well return a BuildManager. class BuildResult: """The result of a successful build. Attributes: manager: The build manager. files: Dictionary from module name to related AST node. types: Dictionary from parse tree node to its inferred type. used_cache: Whether the build took advantage of a pre-existing cache errors: List of error messages. """ def __init__(self, manager: BuildManager, graph: Graph) -> None: self.manager = manager self.graph = graph self.files = manager.modules self.types = manager.all_types # Non-empty if export_types True in options self.used_cache = manager.cache_enabled self.errors: list[str] = [] # Filled in by build if desired def build_error(msg: str) -> NoReturn: raise CompileError([f"mypy: error: {msg}"]) def build( sources: list[BuildSource], options: Options, alt_lib_path: str | None = None, flush_errors: Callable[[str | None, list[str], bool], None] | None = None, fscache: FileSystemCache | None = None, stdout: TextIO | None = None, stderr: TextIO | None = None, extra_plugins: Sequence[Plugin] | None = None, ) -> BuildResult: """Analyze a program. A single call to build performs parsing, semantic analysis and optionally type checking for the program *and* all imported modules, recursively. Return BuildResult if successful or only non-blocking errors were found; otherwise raise CompileError. If a flush_errors callback is provided, all error messages will be passed to it and the errors and messages fields of BuildResult and CompileError (respectively) will be empty. Otherwise those fields will report any error messages. Args: sources: list of sources to build options: build options alt_lib_path: an additional directory for looking up library modules (takes precedence over other directories) flush_errors: optional function to flush errors after a file is processed fscache: optionally a file-system cacher """ # If we were not given a flush_errors, we use one that will populate those # fields for callers that want the traditional API. messages = [] # This is mostly for the benefit of tests that use builtins fixtures. instance_cache.reset() def default_flush_errors( filename: str | None, new_messages: list[str], is_serious: bool ) -> None: messages.extend(new_messages) flush_errors = flush_errors or default_flush_errors stdout = stdout or sys.stdout stderr = stderr or sys.stderr extra_plugins = extra_plugins or [] try: result = _build( sources, options, alt_lib_path, flush_errors, fscache, stdout, stderr, extra_plugins ) result.errors = messages return result except CompileError as e: # CompileErrors raised from an errors object carry all the # messages that have not been reported out by error streaming. # Patch it up to contain either none or all none of the messages, # depending on whether we are flushing errors. serious = not e.use_stdout flush_errors(None, e.messages, serious) e.messages = messages raise def _build( sources: list[BuildSource], options: Options, alt_lib_path: str | None, flush_errors: Callable[[str | None, list[str], bool], None], fscache: FileSystemCache | None, stdout: TextIO, stderr: TextIO, extra_plugins: Sequence[Plugin], ) -> BuildResult: if platform.python_implementation() == "CPython": # Run gc less frequently, as otherwise we can spent a large fraction of # cpu in gc. This seems the most reasonable place to tune garbage collection. gc.set_threshold(200 * 1000, 30, 30) data_dir = default_data_dir() fscache = fscache or FileSystemCache() search_paths = compute_search_paths(sources, options, data_dir, alt_lib_path) reports = None if options.report_dirs: # Import lazily to avoid slowing down startup. from mypy.report import Reports reports = Reports(data_dir, options.report_dirs) source_set = BuildSourceSet(sources) cached_read = fscache.read errors = Errors(options, read_source=lambda path: read_py_file(path, cached_read)) plugin, snapshot = load_plugins(options, errors, stdout, extra_plugins) # Validate error codes after plugins are loaded. options.process_error_codes(error_callback=build_error) # Add catch-all .gitignore to cache dir if we created it cache_dir_existed = os.path.isdir(options.cache_dir) # Construct a build manager object to hold state during the build. # # Ignore current directory prefix in error messages. manager = BuildManager( data_dir, search_paths, ignore_prefix=os.getcwd(), source_set=source_set, reports=reports, options=options, version_id=__version__, plugin=plugin, plugins_snapshot=snapshot, errors=errors, error_formatter=None if options.output is None else OUTPUT_CHOICES.get(options.output), flush_errors=flush_errors, fscache=fscache, stdout=stdout, stderr=stderr, ) if manager.verbosity() >= 2: manager.trace(repr(options)) reset_global_state() try: graph = dispatch(sources, manager, stdout) if not options.fine_grained_incremental: type_state.reset_all_subtype_caches() if options.timing_stats is not None: dump_timing_stats(options.timing_stats, graph) if options.line_checking_stats is not None: dump_line_checking_stats(options.line_checking_stats, graph) return BuildResult(manager, graph) finally: t0 = time.time() manager.metastore.commit() manager.add_stats(cache_commit_time=time.time() - t0) manager.log( "Build finished in %.3f seconds with %d modules, and %d errors" % ( time.time() - manager.start_time, len(manager.modules), manager.errors.num_messages(), ) ) manager.dump_stats() if reports is not None: # Finish the HTML or XML reports even if CompileError was raised. reports.finish() if not cache_dir_existed and os.path.isdir(options.cache_dir): add_catch_all_gitignore(options.cache_dir) exclude_from_backups(options.cache_dir) if os.path.isdir(options.cache_dir): record_missing_stub_packages(options.cache_dir, manager.missing_stub_packages) def default_data_dir() -> str: """Returns directory containing typeshed directory.""" return os.path.dirname(__file__) def normpath(path: str, options: Options) -> str: """Convert path to absolute; but to relative in bazel mode. (Bazel's distributed cache doesn't like filesystem metadata to end up in output files.) """ # TODO: Could we always use relpath? (A worry in non-bazel # mode would be that a moved file may change its full module # name without changing its size, mtime or hash.) if options.bazel: return os.path.relpath(path) else: return os.path.abspath(path) # NOTE: dependencies + suppressed == all reachable imports; # suppressed contains those reachable imports that were prevented by # silent mode or simply not found. # Metadata for the fine-grained dependencies file associated with a module. class FgDepMeta(TypedDict): path: str mtime: int # Priorities used for imports. (Here, top-level includes inside a class.) # These are used to determine a more predictable order in which the # nodes in an import cycle are processed. PRI_HIGH: Final = 5 # top-level "from X import blah" PRI_MED: Final = 10 # top-level "import X" PRI_LOW: Final = 20 # either form inside a function PRI_MYPY: Final = 25 # inside "if MYPY" or "if TYPE_CHECKING" PRI_INDIRECT: Final = 30 # an indirect dependency PRI_ALL: Final = 99 # include all priorities def import_priority(imp: ImportBase, toplevel_priority: int) -> int: """Compute import priority from an import node.""" if not imp.is_top_level: # Inside a function return PRI_LOW if imp.is_mypy_only: # Inside "if MYPY" or "if typing.TYPE_CHECKING" return max(PRI_MYPY, toplevel_priority) # A regular import; priority determined by argument. return toplevel_priority def load_plugins_from_config( options: Options, errors: Errors, stdout: TextIO ) -> tuple[list[Plugin], dict[str, str]]: """Load all configured plugins. Return a list of all the loaded plugins from the config file. The second return value is a snapshot of versions/hashes of loaded user plugins (for cache validation). """ import importlib snapshot: dict[str, str] = {} if not options.config_file: return [], snapshot line = find_config_file_line_number(options.config_file, "mypy", "plugins") if line == -1: line = 1 # We need to pick some line number that doesn't look too confusing def plugin_error(message: str) -> NoReturn: errors.report(line, 0, message) errors.raise_error(use_stdout=False) custom_plugins: list[Plugin] = [] errors.set_file(options.config_file, None, options) for plugin_path in options.plugins: func_name = "plugin" plugin_dir: str | None = None if ":" in os.path.basename(plugin_path): plugin_path, func_name = plugin_path.rsplit(":", 1) if plugin_path.endswith(".py"): # Plugin paths can be relative to the config file location. plugin_path = os.path.join(os.path.dirname(options.config_file), plugin_path) if not os.path.isfile(plugin_path): plugin_error(f'Can\'t find plugin "{plugin_path}"') # Use an absolute path to avoid populating the cache entry # for 'tmp' during tests, since it will be different in # different tests. plugin_dir = os.path.abspath(os.path.dirname(plugin_path)) fnam = os.path.basename(plugin_path) module_name = fnam[:-3] sys.path.insert(0, plugin_dir) elif re.search(r"[\\/]", plugin_path): fnam = os.path.basename(plugin_path) plugin_error(f'Plugin "{fnam}" does not have a .py extension') else: module_name = plugin_path try: module = importlib.import_module(module_name) except Exception as exc: plugin_error(f'Error importing plugin "{plugin_path}": {exc}') finally: if plugin_dir is not None: assert sys.path[0] == plugin_dir del sys.path[0] if not hasattr(module, func_name): plugin_error( 'Plugin "{}" does not define entry point function "{}"'.format( plugin_path, func_name ) ) try: plugin_type = getattr(module, func_name)(__version__) except Exception: print(f"Error calling the plugin(version) entry point of {plugin_path}\n", file=stdout) raise # Propagate to display traceback if not isinstance(plugin_type, type): plugin_error( 'Type object expected as the return value of "plugin"; got {!r} (in {})'.format( plugin_type, plugin_path ) ) if not issubclass(plugin_type, Plugin): plugin_error( 'Return value of "plugin" must be a subclass of "mypy.plugin.Plugin" ' "(in {})".format(plugin_path) ) try: custom_plugins.append(plugin_type(options)) snapshot[module_name] = take_module_snapshot(module) except Exception: print(f"Error constructing plugin instance of {plugin_type.__name__}\n", file=stdout) raise # Propagate to display traceback return custom_plugins, snapshot def load_plugins( options: Options, errors: Errors, stdout: TextIO, extra_plugins: Sequence[Plugin] ) -> tuple[Plugin, dict[str, str]]: """Load all configured plugins. Return a plugin that encapsulates all plugins chained together. Always at least include the default plugin (it's last in the chain). The second return value is a snapshot of versions/hashes of loaded user plugins (for cache validation). """ custom_plugins, snapshot = load_plugins_from_config(options, errors, stdout) custom_plugins += extra_plugins default_plugin: Plugin = DefaultPlugin(options) if not custom_plugins: return default_plugin, snapshot # Custom plugins take precedence over the default plugin. return ChainedPlugin(options, custom_plugins + [default_plugin]), snapshot def take_module_snapshot(module: types.ModuleType) -> str: """Take plugin module snapshot by recording its version and hash. We record _both_ hash and the version to detect more possible changes (e.g. if there is a change in modules imported by a plugin). """ if hasattr(module, "__file__"): assert module.__file__ is not None with open(module.__file__, "rb") as f: digest = hash_digest(f.read()) else: digest = "unknown" ver = getattr(module, "__version__", "none") return f"{ver}:{digest}" def find_config_file_line_number(path: str, section: str, setting_name: str) -> int: """Return the approximate location of setting_name within mypy config file. Return -1 if can't determine the line unambiguously. """ in_desired_section = False try: results = [] with open(path, encoding="UTF-8") as f: for i, line in enumerate(f): line = line.strip() if line.startswith("[") and line.endswith("]"): current_section = line[1:-1].strip() in_desired_section = current_section == section elif in_desired_section and re.match(rf"{setting_name}\s*=", line): results.append(i + 1) if len(results) == 1: return results[0] except OSError: pass return -1 class BuildManager: """This class holds shared state for building a mypy program. It is used to coordinate parsing, import processing, semantic analysis and type checking. The actual build steps are carried out by dispatch(). Attributes: data_dir: Mypy data directory (contains stubs) search_paths: SearchPaths instance indicating where to look for modules modules: Mapping of module ID to MypyFile (shared by the passes) semantic_analyzer: Semantic analyzer, pass 2 all_types: Map {Expression: Type} from all modules (enabled by export_types) options: Build options missing_modules: Set of modules that could not be imported encountered so far stale_modules: Set of modules that needed to be rechecked (only used by tests) fg_deps_meta: Metadata for fine-grained dependencies caches associated with modules fg_deps: A fine-grained dependency map version_id: The current mypy version (based on commit id when possible) plugin: Active mypy plugin(s) plugins_snapshot: Snapshot of currently active user plugins (versions and hashes) old_plugins_snapshot: Plugins snapshot from previous incremental run (or None in non-incremental mode and if cache was not found) errors: Used for reporting all errors flush_errors: A function for processing errors after each SCC cache_enabled: Whether cache is being read. This is set based on options, but is disabled if fine-grained cache loading fails and after an initial fine-grained load. This doesn't determine whether we write cache files or not. quickstart_state: A cache of filename -> mtime/size/hash info used to avoid needing to hash source files when using a cache with mismatching mtimes stats: Dict with various instrumentation numbers, it is used not only for debugging, but also required for correctness, in particular to check consistency of the fine-grained dependency cache. fscache: A file system cacher ast_cache: AST cache to speed up mypy daemon """ def __init__( self, data_dir: str, search_paths: SearchPaths, ignore_prefix: str, source_set: BuildSourceSet, reports: Reports | None, options: Options, version_id: str, plugin: Plugin, plugins_snapshot: dict[str, str], errors: Errors, flush_errors: Callable[[str | None, list[str], bool], None], fscache: FileSystemCache, stdout: TextIO, stderr: TextIO, error_formatter: ErrorFormatter | None = None, ) -> None: self.stats: dict[str, Any] = {} # Values are ints or floats self.stdout = stdout self.stderr = stderr self.start_time = time.time() self.data_dir = data_dir self.errors = errors self.errors.set_ignore_prefix(ignore_prefix) self.error_formatter = error_formatter self.search_paths = search_paths self.source_set = source_set self.reports = reports self.options = options self.version_id = version_id self.modules: dict[str, MypyFile] = {} self.import_map: dict[str, set[str]] = {} self.missing_modules: set[str] = set() self.fg_deps_meta: dict[str, FgDepMeta] = {} # fg_deps holds the dependencies of every module that has been # processed. We store this in BuildManager so that we can compute # dependencies as we go, which allows us to free ASTs and type information, # saving a ton of memory on net. self.fg_deps: dict[str, set[str]] = {} # Always convert the plugin to a ChainedPlugin so that it can be manipulated if needed if not isinstance(plugin, ChainedPlugin): plugin = ChainedPlugin(options, [plugin]) self.plugin = plugin # Set of namespaces (module or class) that are being populated during semantic # analysis and may have missing definitions. self.incomplete_namespaces: set[str] = set() self.semantic_analyzer = SemanticAnalyzer( self.modules, self.missing_modules, self.incomplete_namespaces, self.errors, self.plugin, self.import_map, ) self.all_types: dict[Expression, Type] = {} # Enabled by export_types self.indirection_detector = TypeIndirectionVisitor() self.stale_modules: set[str] = set() self.rechecked_modules: set[str] = set() self.flush_errors = flush_errors has_reporters = reports is not None and reports.reporters self.cache_enabled = ( options.incremental and (not options.fine_grained_incremental or options.use_fine_grained_cache) and not has_reporters ) self.fscache = fscache self.find_module_cache = FindModuleCache( self.search_paths, self.fscache, self.options, source_set=self.source_set ) for module in CORE_BUILTIN_MODULES: if options.use_builtins_fixtures: continue path = self.find_module_cache.find_module(module, fast_path=True) if not isinstance(path, str): raise CompileError( [f"Failed to find builtin module {module}, perhaps typeshed is broken?"] ) if is_typeshed_file(options.abs_custom_typeshed_dir, path) or is_stub_package_file( path ): continue raise CompileError( [ f'mypy: "{os.path.relpath(path)}" shadows library module "{module}"', f'note: A user-defined top-level module with name "{module}" is not supported', ] ) self.metastore = create_metastore(options) # a mapping from source files to their corresponding shadow files # for efficient lookup self.shadow_map: dict[str, str] = {} if self.options.shadow_file is not None: self.shadow_map = dict(self.options.shadow_file) # a mapping from each file being typechecked to its possible shadow file self.shadow_equivalence_map: dict[str, str | None] = {} self.plugin = plugin self.plugins_snapshot = plugins_snapshot self.old_plugins_snapshot = read_plugins_snapshot(self) self.quickstart_state = read_quickstart_file(options, self.stdout) # Fine grained targets (module top levels and top level functions) processed by # the semantic analyzer, used only for testing. Currently used only by the new # semantic analyzer. Tuple of module and target name. self.processed_targets: list[tuple[str, str]] = [] # Missing stub packages encountered. self.missing_stub_packages: set[str] = set() # Cache for mypy ASTs that have completed semantic analysis # pass 1. When multiple files are added to the build in a # single daemon increment, only one of the files gets added # per step and the others are discarded. This gets repeated # until all the files have been added. This means that a # new file can be processed O(n**2) times. This cache # avoids most of this redundant work. self.ast_cache: dict[str, tuple[MypyFile, list[ErrorInfo]]] = {} # Number of times we used GC optimization hack for fresh SCCs. self.gc_freeze_cycles = 0 # Mapping from SCC id to corresponding SCC instance. This is populated # in process_graph(). self.scc_by_id: dict[int, SCC] = {} # Global topological order for SCCs. This exists to make order of processing # SCCs more predictable. self.top_order: list[int] = [] # Stale SCCs that are queued for processing. Note that as of now we have just # one worker, that is the same process. In the future, we will support multiple # parallel worker processes. self.scc_queue: list[SCC] = [] # SCCs that have been fully processed. self.done_sccs: set[int] = set() def dump_stats(self) -> None: if self.options.dump_build_stats: print("Stats:") for key, value in sorted(self.stats_summary().items()): print(f"{key + ':':24}{value}") def use_fine_grained_cache(self) -> bool: return self.cache_enabled and self.options.use_fine_grained_cache def maybe_swap_for_shadow_path(self, path: str) -> str: if not self.shadow_map: return path path = normpath(path, self.options) previously_checked = path in self.shadow_equivalence_map if not previously_checked: for source, shadow in self.shadow_map.items(): if self.fscache.samefile(path, source): self.shadow_equivalence_map[path] = shadow break else: self.shadow_equivalence_map[path] = None shadow_file = self.shadow_equivalence_map.get(path) return shadow_file if shadow_file else path def get_stat(self, path: str) -> os.stat_result | None: return self.fscache.stat_or_none(self.maybe_swap_for_shadow_path(path)) def getmtime(self, path: str) -> int: """Return a file's mtime; but 0 in bazel mode. (Bazel's distributed cache doesn't like filesystem metadata to end up in output files.) """ if self.options.bazel: return 0 else: return int(self.metastore.getmtime(path)) def correct_rel_imp(self, file: MypyFile, imp: ImportFrom | ImportAll) -> str: """Function to correct for relative imports.""" file_id = file.fullname rel = imp.relative if rel == 0: return imp.id if os.path.basename(file.path).startswith("__init__."): rel -= 1 if rel != 0: file_id = ".".join(file_id.split(".")[:-rel]) new_id = file_id + "." + imp.id if imp.id else file_id if not new_id: self.errors.set_file(file.path, file.name, self.options) self.errors.report( imp.line, 0, "No parent module -- cannot perform relative import", blocker=True ) return new_id def all_imported_modules_in_file(self, file: MypyFile) -> list[tuple[int, str, int]]: """Find all reachable import statements in a file. Return list of tuples (priority, module id, import line number) for all modules imported in file; lower numbers == higher priority. Can generate blocking errors on bogus relative imports. """ res: list[tuple[int, str, int]] = [] for imp in file.imports: if not imp.is_unreachable: if isinstance(imp, Import): pri = import_priority(imp, PRI_MED) ancestor_pri = import_priority(imp, PRI_LOW) for id, _ in imp.ids: res.append((pri, id, imp.line)) ancestor_parts = id.split(".")[:-1] ancestors = [] for part in ancestor_parts: ancestors.append(part) res.append((ancestor_pri, ".".join(ancestors), imp.line)) elif isinstance(imp, ImportFrom): cur_id = self.correct_rel_imp(file, imp) all_are_submodules = True # Also add any imported names that are submodules. pri = import_priority(imp, PRI_MED) for name, __ in imp.names: sub_id = cur_id + "." + name if self.is_module(sub_id): res.append((pri, sub_id, imp.line)) else: all_are_submodules = False # Add cur_id as a dependency, even if all the # imports are submodules. Processing import from will try # to look through cur_id, so we should depend on it. # As a workaround for some bugs in cycle handling (#4498), # if all the imports are submodules, do the import at a lower # priority. pri = import_priority(imp, PRI_HIGH if not all_are_submodules else PRI_LOW) res.append((pri, cur_id, imp.line)) elif isinstance(imp, ImportAll): pri = import_priority(imp, PRI_HIGH) res.append((pri, self.correct_rel_imp(file, imp), imp.line)) # Sort such that module (e.g. foo.bar.baz) comes before its ancestors (e.g. foo # and foo.bar) so that, if FindModuleCache finds the target module in a # package marked with py.typed underneath a namespace package installed in # site-packages, (gasp), that cache's knowledge of the ancestors # (aka FindModuleCache.ns_ancestors) can be primed when it is asked to find # the parent. res.sort(key=lambda x: -x[1].count(".")) return res def is_module(self, id: str) -> bool: """Is there a file in the file system corresponding to module id?""" return find_module_simple(id, self) is not None def parse_file( self, id: str, path: str, source: str, ignore_errors: bool, options: Options ) -> MypyFile: """Parse the source of a file with the given name. Raise CompileError if there is a parse error. """ t0 = time.time() if ignore_errors: self.errors.ignored_files.add(path) tree = parse(source, path, id, self.errors, options=options) tree._fullname = id self.add_stats( files_parsed=1, modules_parsed=int(not tree.is_stub), stubs_parsed=int(tree.is_stub), parse_time=time.time() - t0, ) if self.errors.is_blockers(): self.log("Bailing due to parse errors") self.errors.raise_error() self.errors.set_file_ignored_lines(path, tree.ignored_lines, ignore_errors) return tree def load_fine_grained_deps(self, id: str) -> dict[str, set[str]]: t0 = time.time() if id in self.fg_deps_meta: # TODO: Assert deps file wasn't changed. deps = json_loads(self.metastore.read(self.fg_deps_meta[id]["path"])) else: deps = {} val = {k: set(v) for k, v in deps.items()} self.add_stats(load_fg_deps_time=time.time() - t0) return val def report_file( self, file: MypyFile, type_map: dict[Expression, Type], options: Options ) -> None: if self.reports is not None and self.source_set.is_source(file): self.reports.file(file, self.modules, type_map, options) def verbosity(self) -> int: return self.options.verbosity def log(self, *message: str) -> None: if self.verbosity() >= 1: if message: print("LOG: ", *message, file=self.stderr) else: print(file=self.stderr) self.stderr.flush() def log_fine_grained(self, *message: str) -> None: if self.verbosity() >= 1: self.log("fine-grained:", *message) elif mypy.build.DEBUG_FINE_GRAINED: # Output log in a simplified format that is quick to browse. if message: print(*message, file=self.stderr) else: print(file=self.stderr) self.stderr.flush() def trace(self, *message: str) -> None: if self.verbosity() >= 2: print("TRACE:", *message, file=self.stderr) self.stderr.flush() def add_stats(self, **kwds: Any) -> None: for key, value in kwds.items(): if key in self.stats: self.stats[key] += value else: self.stats[key] = value def stats_summary(self) -> Mapping[str, object]: return self.stats def submit(self, sccs: list[SCC]) -> None: """Submit a stale SCC for processing in current process.""" self.scc_queue.extend(sccs) def wait_for_done(self, graph: Graph) -> tuple[list[SCC], bool]: """Wait for a stale SCC processing (in process) to finish. Return next processed SCC and whether we have more in the queue. This emulates the API we will have for parallel processing in multiple worker processes. """ if not self.scc_queue: return [], False next_scc = self.scc_queue.pop(0) process_stale_scc(graph, next_scc, self) return [next_scc], bool(self.scc_queue) def deps_to_json(x: dict[str, set[str]]) -> bytes: return json_dumps({k: list(v) for k, v in x.items()}) # File for storing metadata about all the fine-grained dependency caches DEPS_META_FILE: Final = "@deps.meta.json" # File for storing fine-grained dependencies that didn't a parent in the build DEPS_ROOT_FILE: Final = "@root.deps.json" # The name of the fake module used to store fine-grained dependencies that # have no other place to go. FAKE_ROOT_MODULE: Final = "@root" def write_deps_cache( rdeps: dict[str, dict[str, set[str]]], manager: BuildManager, graph: Graph ) -> None: """Write cache files for fine-grained dependencies. Serialize fine-grained dependencies map for fine-grained mode. Dependencies on some module 'm' is stored in the dependency cache file m.deps.json. This entails some spooky action at a distance: if module 'n' depends on 'm', that produces entries in m.deps.json. When there is a dependency on a module that does not exist in the build, it is stored with its first existing parent module. If no such module exists, it is stored with the fake module FAKE_ROOT_MODULE. This means that the validity of the fine-grained dependency caches are a global property, so we store validity checking information for fine-grained dependencies in a global cache file: * We take a snapshot of current sources to later check consistency between the fine-grained dependency cache and module cache metadata * We store the mtime of all the dependency files to verify they haven't changed """ metastore = manager.metastore error = False fg_deps_meta = manager.fg_deps_meta.copy() for id in rdeps: if id != FAKE_ROOT_MODULE: _, _, deps_json = get_cache_names(id, graph[id].xpath, manager.options) else: deps_json = DEPS_ROOT_FILE assert deps_json manager.log("Writing deps cache", deps_json) if not manager.metastore.write(deps_json, deps_to_json(rdeps[id])): manager.log(f"Error writing fine-grained deps JSON file {deps_json}") error = True else: fg_deps_meta[id] = {"path": deps_json, "mtime": manager.getmtime(deps_json)} meta_snapshot: dict[str, str] = {} for id, st in graph.items(): # If we didn't parse a file (so it doesn't have a # source_hash), then it must be a module with a fresh cache, # so use the hash from that. if st.source_hash: hash = st.source_hash else: if st.meta: hash = st.meta.hash else: hash = "" meta_snapshot[id] = hash meta = {"snapshot": meta_snapshot, "deps_meta": fg_deps_meta} if not metastore.write(DEPS_META_FILE, json_dumps(meta)): manager.log(f"Error writing fine-grained deps meta JSON file {DEPS_META_FILE}") error = True if error: manager.errors.set_file(_cache_dir_prefix(manager.options), None, manager.options) manager.errors.report(0, 0, "Error writing fine-grained dependencies cache", blocker=True) def invert_deps(deps: dict[str, set[str]], graph: Graph) -> dict[str, dict[str, set[str]]]: """Splits fine-grained dependencies based on the module of the trigger. Returns a dictionary from module ids to all dependencies on that module. Dependencies not associated with a module in the build will be associated with the nearest parent module that is in the build, or the fake module FAKE_ROOT_MODULE if none are. """ # Lazy import to speed up startup from mypy.server.target import trigger_to_target # Prepopulate the map for all the modules that have been processed, # so that we always generate files for processed modules (even if # there aren't any dependencies to them.) rdeps: dict[str, dict[str, set[str]]] = {id: {} for id, st in graph.items() if st.tree} for trigger, targets in deps.items(): module = module_prefix(graph, trigger_to_target(trigger)) if not module or not graph[module].tree: module = FAKE_ROOT_MODULE mod_rdeps = rdeps.setdefault(module, {}) mod_rdeps.setdefault(trigger, set()).update(targets) return rdeps def generate_deps_for_cache(manager: BuildManager, graph: Graph) -> dict[str, dict[str, set[str]]]: """Generate fine-grained dependencies into a form suitable for serializing. This does a couple things: 1. Splits fine-grained deps based on the module of the trigger 2. For each module we generated fine-grained deps for, load any previous deps and merge them in. Returns a dictionary from module ids to all dependencies on that module. Dependencies not associated with a module in the build will be associated with the nearest parent module that is in the build, or the fake module FAKE_ROOT_MODULE if none are. """ from mypy.server.deps import merge_dependencies # Lazy import to speed up startup # Split the dependencies out into based on the module that is depended on. rdeps = invert_deps(manager.fg_deps, graph) # We can't just clobber existing dependency information, so we # load the deps for every module we've generated new dependencies # to and merge the new deps into them. for module, mdeps in rdeps.items(): old_deps = manager.load_fine_grained_deps(module) merge_dependencies(old_deps, mdeps) return rdeps PLUGIN_SNAPSHOT_FILE: Final = "@plugins_snapshot.json" def write_plugins_snapshot(manager: BuildManager) -> None: """Write snapshot of versions and hashes of currently active plugins.""" snapshot = json_dumps(manager.plugins_snapshot) if ( not manager.metastore.write(PLUGIN_SNAPSHOT_FILE, snapshot) and manager.options.cache_dir != os.devnull ): manager.errors.set_file(_cache_dir_prefix(manager.options), None, manager.options) manager.errors.report(0, 0, "Error writing plugins snapshot", blocker=True) def read_plugins_snapshot(manager: BuildManager) -> dict[str, str] | None: """Read cached snapshot of versions and hashes of plugins from previous run.""" snapshot = _load_json_file( PLUGIN_SNAPSHOT_FILE, manager, log_success="Plugins snapshot ", log_error="Could not load plugins snapshot: ", ) if snapshot is None: return None if not isinstance(snapshot, dict): manager.log(f"Could not load plugins snapshot: cache is not a dict: {type(snapshot)}") # type: ignore[unreachable] return None return snapshot def read_quickstart_file( options: Options, stdout: TextIO ) -> dict[str, tuple[float, int, str]] | None: quickstart: dict[str, tuple[float, int, str]] | None = None if options.quickstart_file: # This is very "best effort". If the file is missing or malformed, # just ignore it. raw_quickstart: dict[str, Any] = {} try: with open(options.quickstart_file, "rb") as f: raw_quickstart = json_loads(f.read()) quickstart = {} for file, (x, y, z) in raw_quickstart.items(): quickstart[file] = (x, y, z) except Exception as e: print(f"Warning: Failed to load quickstart file: {str(e)}\n", file=stdout) return quickstart def read_deps_cache(manager: BuildManager, graph: Graph) -> dict[str, FgDepMeta] | None: """Read and validate the fine-grained dependencies cache. See the write_deps_cache documentation for more information on the details of the cache. Returns None if the cache was invalid in some way. """ deps_meta = _load_json_file( DEPS_META_FILE, manager, log_success="Deps meta ", log_error="Could not load fine-grained dependency metadata: ", ) if deps_meta is None: return None meta_snapshot = deps_meta["snapshot"] # Take a snapshot of the source hashes from all the metas we found. # (Including the ones we rejected because they were out of date.) # We use this to verify that they match up with the proto_deps. current_meta_snapshot = { id: st.meta_source_hash for id, st in graph.items() if st.meta_source_hash is not None } common = set(meta_snapshot.keys()) & set(current_meta_snapshot.keys()) if any(meta_snapshot[id] != current_meta_snapshot[id] for id in common): # TODO: invalidate also if options changed (like --strict-optional)? manager.log("Fine-grained dependencies cache inconsistent, ignoring") return None module_deps_metas = deps_meta["deps_meta"] assert isinstance(module_deps_metas, dict) if not manager.options.skip_cache_mtime_checks: for meta in module_deps_metas.values(): try: matched = manager.getmtime(meta["path"]) == meta["mtime"] except FileNotFoundError: matched = False if not matched: manager.log(f"Invalid or missing fine-grained deps cache: {meta['path']}") return None return module_deps_metas def _load_ff_file(file: str, manager: BuildManager, log_error: str) -> bytes | None: t0 = time.time() try: data = manager.metastore.read(file) except OSError: manager.log(log_error + file) return None manager.add_stats(metastore_read_time=time.time() - t0) return data def _load_json_file( file: str, manager: BuildManager, log_success: str, log_error: str ) -> dict[str, Any] | None: """A simple helper to read a JSON file with logging.""" t0 = time.time() try: data = manager.metastore.read(file) except OSError: manager.log(log_error + file) return None manager.add_stats(metastore_read_time=time.time() - t0) # Only bother to compute the log message if we are logging it, since it could be big if manager.verbosity() >= 2: manager.trace(log_success + data.rstrip().decode()) try: t1 = time.time() result = json_loads(data) manager.add_stats(data_file_load_time=time.time() - t1) except json.JSONDecodeError: manager.errors.set_file(file, None, manager.options) manager.errors.report( -1, -1, "Error reading JSON file;" " you likely have a bad cache.\n" "Try removing the {cache_dir} directory" " and run mypy again.".format(cache_dir=manager.options.cache_dir), blocker=True, ) return None else: assert isinstance(result, dict) return result def _cache_dir_prefix(options: Options) -> str: """Get current cache directory (or file if id is given).""" if options.bazel: # This is needed so the cache map works. return os.curdir cache_dir = options.cache_dir pyversion = options.python_version base = os.path.join(cache_dir, "%d.%d" % pyversion) return base def add_catch_all_gitignore(target_dir: str) -> None: """Add catch-all .gitignore to an existing directory. No-op if the .gitignore already exists. """ gitignore = os.path.join(target_dir, ".gitignore") try: with open(gitignore, "x") as f: print("# Automatically created by mypy", file=f) print("*", file=f) except FileExistsError: pass def exclude_from_backups(target_dir: str) -> None: """Exclude the directory from various archives and backups supporting CACHEDIR.TAG. If the CACHEDIR.TAG file exists the function is a no-op. """ cachedir_tag = os.path.join(target_dir, "CACHEDIR.TAG") try: with open(cachedir_tag, "x") as f: f.write( """Signature: 8a477f597d28d172789f06886806bc55 # This file is a cache directory tag automatically created by mypy. # For information about cache directory tags see https://bford.info/cachedir/ """ ) except FileExistsError: pass def create_metastore(options: Options) -> MetadataStore: """Create the appropriate metadata store.""" if options.sqlite_cache: mds: MetadataStore = SqliteMetadataStore(_cache_dir_prefix(options)) else: mds = FilesystemMetadataStore(_cache_dir_prefix(options)) return mds def get_cache_names(id: str, path: str, options: Options) -> tuple[str, str, str | None]: """Return the file names for the cache files. Args: id: module ID path: module path options: build options Returns: A tuple with the file names to be used for the meta file, the data file, and the fine-grained deps JSON, respectively. """ if options.cache_map: pair = options.cache_map.get(normpath(path, options)) else: pair = None if pair is not None: # The cache map paths were specified relative to the base directory, # but the filesystem metastore APIs operates relative to the cache # prefix directory. # Solve this by rewriting the paths as relative to the root dir. # This only makes sense when using the filesystem backed cache. root = _cache_dir_prefix(options) return os.path.relpath(pair[0], root), os.path.relpath(pair[1], root), None prefix = os.path.join(*id.split(".")) is_package = os.path.basename(path).startswith("__init__.py") if is_package: prefix = os.path.join(prefix, "__init__") deps_json = None if options.cache_fine_grained: deps_json = prefix + ".deps.json" if options.fixed_format_cache: data_suffix = ".data.ff" meta_suffix = ".meta.ff" else: data_suffix = ".data.json" meta_suffix = ".meta.json" return prefix + meta_suffix, prefix + data_suffix, deps_json def options_snapshot(id: str, manager: BuildManager) -> dict[str, object]: """Make compact snapshot of options for a module. Separately store only the options we may compare individually, and take a hash of everything else. If --debug-cache is specified, fall back to full snapshot. """ snapshot = manager.options.clone_for_module(id).select_options_affecting_cache() if manager.options.debug_cache: return snapshot platform_opt = snapshot.pop("platform") return {"platform": platform_opt, "other_options": hash_digest(json_dumps(snapshot))} def find_cache_meta(id: str, path: str, manager: BuildManager) -> CacheMeta | None: """Find cache data for a module. Args: id: module ID path: module path manager: the build manager (for pyversion, log/trace, and build options) Returns: A CacheMeta instance if the cache data was found and appears valid; otherwise None. """ # TODO: May need to take more build options into account meta_file, data_file, _ = get_cache_names(id, path, manager.options) manager.trace(f"Looking for {id} at {meta_file}") meta: bytes | dict[str, Any] | None t0 = time.time() if manager.options.fixed_format_cache: meta = _load_ff_file(meta_file, manager, log_error=f"Could not load cache for {id}: ") if meta is None: return None else: meta = _load_json_file( meta_file, manager, log_success=f"Meta {id} ", log_error=f"Could not load cache for {id}: ", ) if meta is None: return None if not isinstance(meta, dict): manager.log( # type: ignore[unreachable] f"Could not load cache for {id}: meta cache is not a dict: {repr(meta)}" ) return None t1 = time.time() if isinstance(meta, bytes): # If either low-level buffer format or high-level cache layout changed, we # cannot use the cache files, even with --skip-version-check. # TODO: switch to something like librt.internal.read_byte() if this is slow. if meta[0] != cache_version() or meta[1] != CACHE_VERSION: manager.log(f"Metadata abandoned for {id}: incompatible cache format") return None data_io = ReadBuffer(meta[2:]) m = CacheMeta.read(data_io, data_file) else: m = CacheMeta.deserialize(meta, data_file) if m is None: manager.log(f"Metadata abandoned for {id}: cannot deserialize data") return None t2 = time.time() manager.add_stats( load_meta_time=t2 - t0, load_meta_load_time=t1 - t0, load_meta_from_dict_time=t2 - t1 ) # Ignore cache if generated by an older mypy version. if m.version_id != manager.version_id and not manager.options.skip_version_check: manager.log(f"Metadata abandoned for {id}: different mypy version") return None total_deps = len(m.dependencies) + len(m.suppressed) if len(m.dep_prios) != total_deps or len(m.dep_lines) != total_deps: manager.log(f"Metadata abandoned for {id}: broken dependencies") return None # Ignore cache if (relevant) options aren't the same. # Note that it's fine to mutilate cached_options since it's only used here. cached_options = m.options current_options = options_snapshot(id, manager) if manager.options.skip_version_check: # When we're lax about version we're also lax about platform. cached_options["platform"] = current_options["platform"] if "debug_cache" in cached_options: # Older versions included debug_cache, but it's silly to compare it. del cached_options["debug_cache"] if cached_options != current_options: manager.log(f"Metadata abandoned for {id}: options differ") if manager.options.verbosity >= 2: for key in sorted(set(cached_options) | set(current_options)): if cached_options.get(key) != current_options.get(key): manager.trace( " {}: {} != {}".format( key, cached_options.get(key), current_options.get(key) ) ) return None if manager.old_plugins_snapshot and manager.plugins_snapshot: # Check if plugins are still the same. if manager.plugins_snapshot != manager.old_plugins_snapshot: manager.log(f"Metadata abandoned for {id}: plugins differ") return None # So that plugins can return data with tuples in it without # things silently always invalidating modules, we round-trip # the config data. This isn't beautiful. plugin_data = json_loads( json_dumps(manager.plugin.report_config_data(ReportConfigContext(id, path, is_check=True))) ) if m.plugin_data != plugin_data: manager.log(f"Metadata abandoned for {id}: plugin configuration differs") return None manager.add_stats(fresh_metas=1) return m def validate_meta( meta: CacheMeta | None, id: str, path: str | None, ignore_all: bool, manager: BuildManager ) -> CacheMeta | None: """Checks whether the cached AST of this module can be used. Returns: None, if the cached AST is unusable. Original meta, if mtime/size matched. Meta with mtime updated to match source file, if hash/size matched but mtime/path didn't. """ # This requires two steps. The first one is obvious: we check that the module source file # contents is the same as it was when the cache data file was created. The second one is not # too obvious: we check that the cache data file mtime has not changed; it is needed because # we use cache data file mtime to propagate information about changes in the dependencies. if meta is None: manager.log(f"Metadata not found for {id}") return None if meta.ignore_all and not ignore_all: manager.log(f"Metadata abandoned for {id}: errors were previously ignored") return None t0 = time.time() bazel = manager.options.bazel assert path is not None, "Internal error: meta was provided without a path" if not manager.options.skip_cache_mtime_checks: # Check data_file; assume if its mtime matches it's good. try: data_mtime = manager.getmtime(meta.data_file) except OSError: manager.log(f"Metadata abandoned for {id}: failed to stat data_file") return None if data_mtime != meta.data_mtime: manager.log(f"Metadata abandoned for {id}: data cache is modified") return None if bazel: # Normalize path under bazel to make sure it isn't absolute path = normpath(path, manager.options) st = manager.get_stat(path) if st is None: return None if not stat.S_ISDIR(st.st_mode) and not stat.S_ISREG(st.st_mode): manager.log(f"Metadata abandoned for {id}: file or directory {path} does not exist") return None manager.add_stats(validate_stat_time=time.time() - t0) # When we are using a fine-grained cache, we want our initial # build() to load all of the cache information and then do a # fine-grained incremental update to catch anything that has # changed since the cache was generated. We *don't* want to do a # coarse-grained incremental rebuild, so we accept the cache # metadata even if it doesn't match the source file. # # We still *do* the mtime/hash checks, however, to enable # fine-grained mode to take advantage of the mtime-updating # optimization when mtimes differ but hashes match. There is # essentially no extra time cost to computing the hash here, since # it will be cached and will be needed for finding changed files # later anyways. fine_grained_cache = manager.use_fine_grained_cache() size = st.st_size # Bazel ensures the cache is valid. if size != meta.size and not bazel and not fine_grained_cache: manager.log(f"Metadata abandoned for {id}: file {path} has different size") return None # Bazel ensures the cache is valid. mtime = 0 if bazel else int(st.st_mtime) if not bazel and (mtime != meta.mtime or path != meta.path): if manager.quickstart_state and path in manager.quickstart_state: # If the mtime and the size of the file recorded in the quickstart dump matches # what we see on disk, we know (assume) that the hash matches the quickstart # data as well. If that hash matches the hash in the metadata, then we know # the file is up to date even though the mtime is wrong, without needing to hash it. qmtime, qsize, qhash = manager.quickstart_state[path] if int(qmtime) == mtime and qsize == size and qhash == meta.hash: manager.log(f"Metadata fresh (by quickstart) for {id}: file {path}") meta.mtime = mtime meta.path = path return meta t0 = time.time() try: # dir means it is a namespace package if stat.S_ISDIR(st.st_mode): source_hash = "" else: source_hash = manager.fscache.hash_digest(path) except (OSError, UnicodeDecodeError, DecodeError): return None manager.add_stats(validate_hash_time=time.time() - t0) if source_hash != meta.hash: if fine_grained_cache: manager.log(f"Using stale metadata for {id}: file {path}") return meta else: manager.log(f"Metadata abandoned for {id}: file {path} has different hash") return None else: t0 = time.time() # Optimization: update mtime and path (otherwise, this mismatch will reappear). meta.mtime = mtime meta.path = path meta.size = size meta.options = options_snapshot(id, manager) meta_file, _, _ = get_cache_names(id, path, manager.options) manager.log( "Updating mtime for {}: file {}, meta {}, mtime {}".format( id, path, meta_file, meta.mtime ) ) write_cache_meta(meta, manager, meta_file) t1 = time.time() manager.add_stats(validate_update_time=time.time() - t1, validate_munging_time=t1 - t0) return meta # It's a match on (id, path, size, hash, mtime). manager.log(f"Metadata fresh for {id}: file {path}") return meta def compute_hash(text: str) -> str: # We use a crypto hash instead of the builtin hash(...) function # because the output of hash(...) can differ between runs due to # hash randomization (enabled by default in Python 3.3). See the # note in # https://docs.python.org/3/reference/datamodel.html#object.__hash__. return hash_digest(text.encode("utf-8")) def write_cache( id: str, path: str, tree: MypyFile, dependencies: list[str], suppressed: list[str], dep_prios: list[int], dep_lines: list[int], old_interface_hash: bytes, source_hash: str, ignore_all: bool, manager: BuildManager, ) -> tuple[bytes, tuple[CacheMeta, str] | None]: """Write cache files for a module. Note that this mypy's behavior is still correct when any given write_cache() call is replaced with a no-op, so error handling code that bails without writing anything is okay. Args: id: module ID path: module path tree: the fully checked module data dependencies: module IDs on which this module depends suppressed: module IDs which were suppressed as dependencies dep_prios: priorities (parallel array to dependencies) dep_lines: import line locations (parallel array to dependencies) old_interface_hash: the hash from the previous version of the data cache file source_hash: the hash of the source code ignore_all: the ignore_all flag for this module manager: the build manager (for pyversion, log/trace) Returns: A tuple containing the interface hash and inner tuple with CacheMeta that should be written and path to cache file (inner tuple may be None, if the cache data could not be written). """ metastore = manager.metastore # For Bazel we use relative paths and zero mtimes. bazel = manager.options.bazel # Obtain file paths. meta_file, data_file, _ = get_cache_names(id, path, manager.options) manager.log(f"Writing {id} {path} {meta_file} {data_file}") # Update tree.path so that in bazel mode it's made relative (since # sometimes paths leak out). if bazel: tree.path = path plugin_data = manager.plugin.report_config_data(ReportConfigContext(id, path, is_check=False)) # Serialize data and analyze interface if manager.options.fixed_format_cache: data_io = WriteBuffer() tree.write(data_io) data_bytes = data_io.getvalue() else: data = tree.serialize() data_bytes = json_dumps(data, manager.options.debug_cache) interface_hash = hash_digest_bytes(data_bytes + json_dumps(plugin_data)) # Obtain and set up metadata st = manager.get_stat(path) if st is None: manager.log(f"Cannot get stat for {path}") # Remove apparently-invalid cache files. # (This is purely an optimization.) for filename in [data_file, meta_file]: try: os.remove(filename) except OSError: pass # Still return the interface hash we computed. return interface_hash, None # Write data cache file, if applicable # Note that for Bazel we don't record the data file's mtime. if old_interface_hash == interface_hash: manager.trace(f"Interface for {id} is unchanged") else: manager.trace(f"Interface for {id} has changed") if not metastore.write(data_file, data_bytes): # Most likely the error is the replace() call # (see https://github.com/python/mypy/issues/3215). manager.log(f"Error writing cache data file {data_file}") # Let's continue without writing the meta file. Analysis: # If the replace failed, we've changed nothing except left # behind an extraneous temporary file; if the replace # worked but the getmtime() call failed, the meta file # will be considered invalid on the next run because the # data_mtime field won't match the data file's mtime. # Both have the effect of slowing down the next run a # little bit due to an out-of-date cache file. return interface_hash, None try: data_mtime = manager.getmtime(data_file) except OSError: manager.log(f"Error in os.stat({data_file!r}), skipping cache write") return interface_hash, None mtime = 0 if bazel else int(st.st_mtime) size = st.st_size # Note that the options we store in the cache are the options as # specified by the command line/config file and *don't* reflect # updates made by inline config directives in the file. This is # important, or otherwise the options would never match when # verifying the cache. assert source_hash is not None meta = CacheMeta( id=id, path=path, mtime=mtime, size=size, hash=source_hash, dependencies=dependencies, data_mtime=data_mtime, data_file=data_file, suppressed=suppressed, options=options_snapshot(id, manager), dep_prios=dep_prios, dep_lines=dep_lines, interface_hash=interface_hash, version_id=manager.version_id, ignore_all=ignore_all, plugin_data=plugin_data, # These two will be filled by the caller. dep_hashes=[], error_lines=[], ) return interface_hash, (meta, meta_file) def write_cache_meta(meta: CacheMeta, manager: BuildManager, meta_file: str) -> None: # Write meta cache file metastore = manager.metastore if manager.options.fixed_format_cache: data_io = WriteBuffer() meta.write(data_io) # Prefix with both low- and high-level cache format versions for future validation. # TODO: switch to something like librt.internal.write_byte() if this is slow. meta_bytes = bytes([cache_version(), CACHE_VERSION]) + data_io.getvalue() else: meta_dict = meta.serialize() meta_bytes = json_dumps(meta_dict, manager.options.debug_cache) if not metastore.write(meta_file, meta_bytes): # Most likely the error is the replace() call # (see https://github.com/python/mypy/issues/3215). # The next run will simply find the cache entry out of date. manager.log(f"Error writing cache meta file {meta_file}") """Dependency manager. Design ====== Ideally ------- A. Collapse cycles (each SCC -- strongly connected component -- becomes one "supernode"). B. Topologically sort nodes based on dependencies. C. Process from leaves towards roots. Wrinkles -------- a. Need to parse source modules to determine dependencies. b. Processing order for modules within an SCC. c. Must order mtimes of files to decide whether to re-process; depends on clock never resetting. d. from P import M; checks filesystem whether module P.M exists in filesystem. e. Race conditions, where somebody modifies a file while we're processing. Solved by using a FileSystemCache. Steps ----- 1. For each explicitly given module find the source file location. 2. For each such module load and check the cache metadata, and decide whether it's valid. 3. Now recursively (or iteratively) find dependencies and add those to the graph: - for cached nodes use the list of dependencies from the cache metadata (this will be valid even if we later end up re-parsing the same source); - for uncached nodes parse the file and process all imports found, taking care of (a) above. Step 3 should also address (d) above. Once step 3 terminates we have the entire dependency graph, and for each module we've either loaded the cache metadata or parsed the source code. (However, we may still need to parse those modules for which we have cache metadata but that depend, directly or indirectly, on at least one module for which the cache metadata is stale.) Now we can execute steps A-C from the first section. Finding SCCs for step A shouldn't be hard; there's a recipe here: https://code.activestate.com/recipes/578507/. There's also a plethora of topsort recipes, e.g. https://code.activestate.com/recipes/577413/. For single nodes, processing is simple. If the node was cached, we deserialize the cache data and fix up cross-references. Otherwise, we do semantic analysis followed by type checking. Once we (re-)processed an SCC we check whether its interface (symbol table) is still fresh (matches previous cached value). If it is not, we consider dependent SCCs stale so that they need to be re-parsed as well. Note on indirect dependencies: normally dependencies are determined from imports, but since our interfaces are "opaque" (i.e. symbol tables can contain cross-references as well as types identified by name), these are not enough. We *must* also add "indirect" dependencies from symbols and types to their definitions. For this purpose, we record all accessed symbols during semantic analysis, and after we finished processing a module, we traverse its type map, and for each type we find (transitively) on which named types it depends. Import cycles ------------- Finally we have to decide how to handle (b), import cycles. Here we'll need a modified version of the original state machine (build.py), but we only need to do this per SCC, and we won't have to deal with changes to the list of nodes while we're processing it. If all nodes in the SCC have valid cache metadata and all dependencies outside the SCC are still valid, we can proceed as follows: 1. Load cache data for all nodes in the SCC. 2. Fix up cross-references for all nodes in the SCC. Otherwise, the simplest (but potentially slow) way to proceed is to invalidate all cache data in the SCC and re-parse all nodes in the SCC from source. We can do this as follows: 1. Parse source for all nodes in the SCC. 2. Semantic analysis for all nodes in the SCC. 3. Type check all nodes in the SCC. (If there are more passes the process is the same -- each pass should be done for all nodes before starting the next pass for any nodes in the SCC.) We could process the nodes in the SCC in any order. For sentimental reasons, I've decided to process them in the reverse order in which we encountered them when originally constructing the graph. That's how the old build.py deals with cycles, and at least this reproduces the previous implementation more accurately. Can we do better than re-parsing all nodes in the SCC when any of its dependencies are out of date? It's doubtful. The optimization mentioned at the end of the previous section would require re-parsing and type-checking a node and then comparing its symbol table to the cached data; but because the node is part of a cycle we can't technically type-check it until the semantic analysis of all other nodes in the cycle has completed. (This is an important issue because Dropbox has a very large cycle in production code. But I'd like to deal with it later.) Additional wrinkles ------------------- During implementation more wrinkles were found. - When a submodule of a package (e.g. x.y) is encountered, the parent package (e.g. x) must also be loaded, but it is not strictly a dependency. See State.add_ancestors() below. """ class ModuleNotFound(Exception): """Control flow exception to signal that a module was not found.""" class State: """The state for a module. The source is only used for the -c command line option; in that case path is None. Otherwise source is None and path isn't. """ manager: BuildManager order_counter: ClassVar[int] = 0 order: int # Order in which modules were encountered id: str # Fully qualified module name path: str | None = None # Path to module source abspath: str | None = None # Absolute path to module source xpath: str # Path or '' source: str | None = None # Module source code source_hash: str | None = None # Hash calculated based on the source code meta_source_hash: str | None = None # Hash of the source given in the meta, if any meta: CacheMeta | None = None data: str | None = None tree: MypyFile | None = None # We keep both a list and set of dependencies. A set because it makes it efficient to # prevent duplicates and the list because I am afraid of changing the order of # iteration over dependencies. # They should be managed with add_dependency and suppress_dependency. dependencies: list[str] # Modules directly imported by the module dependencies_set: set[str] # The same but as a set for deduplication purposes suppressed: list[str] # Suppressed/missing dependencies suppressed_set: set[str] # Suppressed/missing dependencies priorities: dict[str, int] # Map each dependency to the line number where it is first imported dep_line_map: dict[str, int] # Map from dependency id to its last observed interface hash dep_hashes: dict[str, bytes] = {} # List of errors reported for this file last time. error_lines: list[str] = [] # Parent package, its parent, etc. ancestors: list[str] | None = None # List of (path, line number) tuples giving context for import import_context: list[tuple[str, int]] # If caller_state is set, the line number in the caller where the import occurred caller_line = 0 # Contains a hash of the public interface in incremental mode interface_hash: bytes = b"" # Options, specialized for this file options: Options # Whether to ignore all errors ignore_all = False # Errors reported before semantic analysis, to allow fine-grained # mode to keep reporting them. early_errors: list[ErrorInfo] # Type checker used for checking this file. Use type_checker() for # access and to construct this on demand. _type_checker: TypeChecker | None = None fine_grained_deps_loaded = False # Cumulative time spent on this file, in microseconds (for profiling stats) time_spent_us: int = 0 # Per-line type-checking time (cumulative time spent type-checking expressions # on a given source code line). per_line_checking_time_ns: dict[int, int] def __init__( self, id: str | None, path: str | None, source: str | None, manager: BuildManager, caller_state: State | None = None, caller_line: int = 0, ancestor_for: State | None = None, root_source: bool = False, # If `temporary` is True, this State is being created to just # quickly parse/load the tree, without an intention to further # process it. With this flag, any changes to external state as well # as error reporting should be avoided. temporary: bool = False, ) -> None: if not temporary: assert id or path or source is not None, "Neither id, path nor source given" self.manager = manager State.order_counter += 1 self.order = State.order_counter self.caller_line = caller_line if caller_state: self.import_context = caller_state.import_context.copy() self.import_context.append((caller_state.xpath, caller_line)) else: self.import_context = [] self.id = id or "__main__" self.options = manager.options.clone_for_module(self.id) self.early_errors = [] self._type_checker = None if not path and source is None: assert id is not None try: path, follow_imports = find_module_and_diagnose( manager, id, self.options, caller_state, caller_line, ancestor_for, root_source, skip_diagnose=temporary, ) except ModuleNotFound: if not temporary: manager.missing_modules.add(id) raise if follow_imports == "silent": self.ignore_all = True elif path and is_silent_import_module(manager, path) and not root_source: self.ignore_all = True self.path = path if path: self.abspath = os.path.abspath(path) self.xpath = path or "" if path and source is None and self.manager.cache_enabled: self.meta = find_cache_meta(self.id, path, manager) # TODO: Get mtime if not cached. if self.meta is not None: self.interface_hash = self.meta.interface_hash self.meta_source_hash = self.meta.hash if path and source is None and self.manager.fscache.isdir(path): source = "" self.source = source self.add_ancestors() self.per_line_checking_time_ns = collections.defaultdict(int) t0 = time.time() self.meta = validate_meta(self.meta, self.id, self.path, self.ignore_all, manager) self.manager.add_stats(validate_meta_time=time.time() - t0) if self.meta: # Make copies, since we may modify these and want to # compare them to the originals later. self.dependencies = list(self.meta.dependencies) self.dependencies_set = set(self.dependencies) self.suppressed = list(self.meta.suppressed) self.suppressed_set = set(self.suppressed) all_deps = self.dependencies + self.suppressed assert len(all_deps) == len(self.meta.dep_prios) self.priorities = {id: pri for id, pri in zip(all_deps, self.meta.dep_prios)} assert len(all_deps) == len(self.meta.dep_lines) self.dep_line_map = {id: line for id, line in zip(all_deps, self.meta.dep_lines)} assert len(self.meta.dep_hashes) == len(self.meta.dependencies) self.dep_hashes = { k: v for (k, v) in zip(self.meta.dependencies, self.meta.dep_hashes) } self.error_lines = self.meta.error_lines if temporary: self.load_tree(temporary=True) if not manager.use_fine_grained_cache(): # Special case: if there were a previously missing package imported here # and it is not present, then we need to re-calculate dependencies. # This is to support patterns like this: # from missing_package import missing_module # type: ignore # At first mypy doesn't know that `missing_module` is a module # (it may be a variable, a class, or a function), so it is not added to # suppressed dependencies. Therefore, when the package with module is added, # we need to re-calculate dependencies. # NOTE: see comment below for why we skip this in fine grained mode. if exist_added_packages(self.suppressed, manager, self.options): self.parse_file() # This is safe because the cache is anyway stale. self.compute_dependencies() else: # When doing a fine-grained cache load, pretend we only # know about modules that have cache information and defer # handling new modules until the fine-grained update. if manager.use_fine_grained_cache(): manager.log(f"Deferring module to fine-grained update {path} ({id})") raise ModuleNotFound # Parse the file (and then some) to get the dependencies. self.parse_file(temporary=temporary) self.compute_dependencies() def add_ancestors(self) -> None: if self.path is not None: _, name = os.path.split(self.path) base, _ = os.path.splitext(name) if "." in base: # This is just a weird filename, don't add anything self.ancestors = [] return # All parent packages are new ancestors. ancestors = [] parent = self.id while "." in parent: parent, _ = parent.rsplit(".", 1) ancestors.append(parent) self.ancestors = ancestors def is_fresh(self) -> bool: """Return whether the cache data for this file is fresh.""" # NOTE: self.dependencies may differ from # self.meta.dependencies when a dependency is dropped due to # suppression by silent mode. However, when a suppressed # dependency is added back we find out later in the process. return self.meta is not None and self.dependencies == self.meta.dependencies def mark_as_rechecked(self) -> None: """Marks this module as having been fully re-analyzed by the type-checker.""" self.manager.rechecked_modules.add(self.id) def mark_interface_stale(self) -> None: """Marks this module as having a stale public interface, and discards the cache data.""" self.manager.stale_modules.add(self.id) def check_blockers(self) -> None: """Raise CompileError if a blocking error is detected.""" if self.manager.errors.is_blockers(): self.manager.log("Bailing due to blocking errors") self.manager.errors.raise_error() @contextlib.contextmanager def wrap_context(self, check_blockers: bool = True) -> Iterator[None]: """Temporarily change the error import context to match this state. Also report an internal error if an unexpected exception was raised and raise an exception on a blocking error, unless check_blockers is False. Skipping blocking error reporting is used in the semantic analyzer so that we can report all blocking errors for a file (across multiple targets) to maintain backward compatibility. """ save_import_context = self.manager.errors.import_context() self.manager.errors.set_import_context(self.import_context) try: yield except CompileError: raise except Exception as err: report_internal_error( err, self.path, 0, self.manager.errors, self.options, self.manager.stdout, self.manager.stderr, ) self.manager.errors.set_import_context(save_import_context) # TODO: Move this away once we've removed the old semantic analyzer? if check_blockers: self.check_blockers() def load_fine_grained_deps(self) -> dict[str, set[str]]: return self.manager.load_fine_grained_deps(self.id) def load_tree(self, temporary: bool = False) -> None: assert ( self.meta is not None ), "Internal error: this method must be called only for cached modules" data: bytes | dict[str, Any] | None if self.options.fixed_format_cache: data = _load_ff_file(self.meta.data_file, self.manager, "Could not load tree: ") else: data = _load_json_file( self.meta.data_file, self.manager, "Load tree ", "Could not load tree: " ) if data is None: return t0 = time.time() # TODO: Assert data file wasn't changed. if isinstance(data, bytes): data_io = ReadBuffer(data) self.tree = MypyFile.read(data_io) else: self.tree = MypyFile.deserialize(data) t1 = time.time() self.manager.add_stats(deserialize_time=t1 - t0) if not temporary: self.manager.modules[self.id] = self.tree self.manager.add_stats(fresh_trees=1) def fix_cross_refs(self) -> None: assert self.tree is not None, "Internal error: method must be called on parsed file only" # We need to set allow_missing when doing a fine grained cache # load because we need to gracefully handle missing modules. fixup_module(self.tree, self.manager.modules, self.options.use_fine_grained_cache) # Methods for processing modules from source code. def parse_file(self, *, temporary: bool = False) -> None: """Parse file and run first pass of semantic analysis. Everything done here is local to the file. Don't depend on imported modules in any way. Also record module dependencies based on imports. """ if self.tree is not None: # The file was already parsed (in __init__()). return manager = self.manager # Can we reuse a previously parsed AST? This avoids redundant work in daemon. cached = self.id in manager.ast_cache modules = manager.modules if not cached: manager.log(f"Parsing {self.xpath} ({self.id})") else: manager.log(f"Using cached AST for {self.xpath} ({self.id})") t0 = time_ref() with self.wrap_context(): source = self.source self.source = None # We won't need it again. if self.path and source is None: try: path = manager.maybe_swap_for_shadow_path(self.path) source = decode_python_encoding(manager.fscache.read(path)) self.source_hash = manager.fscache.hash_digest(path) except OSError as ioerr: # ioerr.strerror differs for os.stat failures between Windows and # other systems, but os.strerror(ioerr.errno) does not, so we use that. # (We want the error messages to be platform-independent so that the # tests have predictable output.) assert ioerr.errno is not None raise CompileError( [ "mypy: can't read file '{}': {}".format( self.path.replace(os.getcwd() + os.sep, ""), os.strerror(ioerr.errno), ) ], module_with_blocker=self.id, ) from ioerr except (UnicodeDecodeError, DecodeError) as decodeerr: if self.path.endswith(".pyd"): err = f"mypy: stubgen does not support .pyd files: '{self.path}'" else: err = f"mypy: can't decode file '{self.path}': {str(decodeerr)}" raise CompileError([err], module_with_blocker=self.id) from decodeerr elif self.path and self.manager.fscache.isdir(self.path): source = "" self.source_hash = "" else: assert source is not None self.source_hash = compute_hash(source) self.parse_inline_configuration(source) if not cached: self.tree = manager.parse_file( self.id, self.xpath, source, ignore_errors=self.ignore_all or self.options.ignore_errors, options=self.options, ) else: # Reuse a cached AST self.tree = manager.ast_cache[self.id][0] manager.errors.set_file_ignored_lines( self.xpath, self.tree.ignored_lines, self.ignore_all or self.options.ignore_errors, ) self.time_spent_us += time_spent_us(t0) if not cached: # Make a copy of any errors produced during parse time so that # fine-grained mode can repeat them when the module is # reprocessed. self.early_errors = list(manager.errors.error_info_map.get(self.xpath, [])) else: self.early_errors = manager.ast_cache[self.id][1] if not temporary: modules[self.id] = self.tree if not cached: self.semantic_analysis_pass1() if not temporary: self.check_blockers() manager.ast_cache[self.id] = (self.tree, self.early_errors) def parse_inline_configuration(self, source: str) -> None: """Check for inline mypy: options directive and parse them.""" flags = get_mypy_comments(source) if flags: changes, config_errors = parse_mypy_comments(flags, self.options) self.options = self.options.apply_changes(changes) self.manager.errors.set_file(self.xpath, self.id, self.options) for lineno, error in config_errors: self.manager.errors.report(lineno, 0, error) def semantic_analysis_pass1(self) -> None: """Perform pass 1 of semantic analysis, which happens immediately after parsing. This pass can't assume that any other modules have been processed yet. """ options = self.options assert self.tree is not None t0 = time_ref() # Do the first pass of semantic analysis: analyze the reachability # of blocks and import statements. We must do this before # processing imports, since this may mark some import statements as # unreachable. # # TODO: This should not be considered as a semantic analysis # pass -- it's an independent pass. analyzer = SemanticAnalyzerPreAnalysis() with self.wrap_context(): analyzer.visit_file(self.tree, self.xpath, self.id, options) self.manager.errors.set_skipped_lines(self.xpath, self.tree.skipped_lines) # TODO: Do this while constructing the AST? self.tree.names = SymbolTable() if not self.tree.is_stub: if not self.options.allow_redefinition_new: # Perform some low-key variable renaming when assignments can't # widen inferred types self.tree.accept(LimitedVariableRenameVisitor()) if options.allow_redefinition: # Perform more renaming across the AST to allow variable redefinitions self.tree.accept(VariableRenameVisitor()) self.time_spent_us += time_spent_us(t0) def add_dependency(self, dep: str) -> None: if dep not in self.dependencies_set: self.dependencies.append(dep) self.dependencies_set.add(dep) if dep in self.suppressed_set: self.suppressed.remove(dep) self.suppressed_set.remove(dep) def suppress_dependency(self, dep: str) -> None: if dep in self.dependencies_set: self.dependencies.remove(dep) self.dependencies_set.remove(dep) if dep not in self.suppressed_set: self.suppressed.append(dep) self.suppressed_set.add(dep) def compute_dependencies(self) -> None: """Compute a module's dependencies after parsing it. This is used when we parse a file that we didn't have up-to-date cache information for. When we have an up-to-date cache, we just use the cached info. """ manager = self.manager assert self.tree is not None # Compute (direct) dependencies. # Add all direct imports (this is why we needed the first pass). # Also keep track of each dependency's source line. # Missing dependencies will be moved from dependencies to # suppressed when they fail to be loaded in load_graph. self.dependencies = [] self.dependencies_set = set() self.suppressed = [] self.suppressed_set = set() self.priorities = {} # id -> priority self.dep_line_map = {} # id -> line self.dep_hashes = {} dep_entries = manager.all_imported_modules_in_file( self.tree ) + self.manager.plugin.get_additional_deps(self.tree) for pri, id, line in dep_entries: self.priorities[id] = min(pri, self.priorities.get(id, PRI_ALL)) if id == self.id: continue self.add_dependency(id) if id not in self.dep_line_map: self.dep_line_map[id] = line # Every module implicitly depends on builtins. if self.id != "builtins": self.add_dependency("builtins") self.check_blockers() # Can fail due to bogus relative imports def type_check_first_pass(self) -> None: if self.options.semantic_analysis_only: return t0 = time_ref() with self.wrap_context(): self.type_checker().check_first_pass() self.time_spent_us += time_spent_us(t0) def type_checker(self) -> TypeChecker: if not self._type_checker: assert self.tree is not None, "Internal error: must be called on parsed file only" manager = self.manager self._type_checker = TypeChecker( manager.errors, manager.modules, self.options, self.tree, self.xpath, manager.plugin, self.per_line_checking_time_ns, ) return self._type_checker def type_map(self) -> dict[Expression, Type]: # We can extract the master type map directly since at this # point no temporary type maps can be active. assert len(self.type_checker()._type_maps) == 1 return self.type_checker()._type_maps[0] def type_check_second_pass(self) -> bool: if self.options.semantic_analysis_only: return False t0 = time_ref() with self.wrap_context(): result = self.type_checker().check_second_pass() self.time_spent_us += time_spent_us(t0) return result def detect_possibly_undefined_vars(self) -> None: assert self.tree is not None, "Internal error: method must be called on parsed file only" if self.tree.is_stub: # We skip stub files because they aren't actually executed. return manager = self.manager manager.errors.set_file(self.xpath, self.tree.fullname, options=self.options) if manager.errors.is_error_code_enabled( codes.POSSIBLY_UNDEFINED ) or manager.errors.is_error_code_enabled(codes.USED_BEFORE_DEF): self.tree.accept( PossiblyUndefinedVariableVisitor( MessageBuilder(manager.errors, manager.modules), self.type_map(), self.options, self.tree.names, ) ) def finish_passes(self) -> None: assert self.tree is not None, "Internal error: method must be called on parsed file only" manager = self.manager if self.options.semantic_analysis_only: return t0 = time_ref() with self.wrap_context(): # Some tests (and tools) want to look at the set of all types. options = manager.options if options.export_types: manager.all_types.update(self.type_map()) # We should always patch indirect dependencies, even in full (non-incremental) builds, # because the cache still may be written, and it must be correct. self.patch_indirect_dependencies( # Two possible sources of indirect dependencies: # * Symbols not directly imported in this module but accessed via an attribute # or via a re-export (vast majority of these recorded in semantic analysis). # * For each expression type we need to record definitions of type components # since "meaning" of the type may be updated when definitions are updated. self.tree.module_refs | self.type_checker().module_refs, set(self.type_map().values()), ) if self.options.dump_inference_stats: dump_type_stats( self.tree, self.xpath, modules=self.manager.modules, inferred=True, typemap=self.type_map(), ) manager.report_file(self.tree, self.type_map(), self.options) self.update_fine_grained_deps(self.manager.fg_deps) if manager.options.export_ref_info: write_undocumented_ref_info( self, manager.metastore, manager.options, self.type_map() ) self.free_state() if not manager.options.fine_grained_incremental and not manager.options.preserve_asts: free_tree(self.tree) self.time_spent_us += time_spent_us(t0) def free_state(self) -> None: if self._type_checker: self._type_checker.reset() self._type_checker = None def patch_indirect_dependencies(self, module_refs: set[str], types: set[Type]) -> None: assert self.ancestors is not None existing_deps = set(self.dependencies + self.suppressed + self.ancestors) existing_deps.add(self.id) encountered = self.manager.indirection_detector.find_modules(types) | module_refs for dep in sorted(encountered - existing_deps): if dep not in self.manager.modules: continue self.add_dependency(dep) self.priorities[dep] = PRI_INDIRECT def compute_fine_grained_deps(self) -> dict[str, set[str]]: assert self.tree is not None if self.id in ("builtins", "typing", "types", "sys", "_typeshed"): # We don't track changes to core parts of typeshed -- the # assumption is that they are only changed as part of mypy # updates, which will invalidate everything anyway. These # will always be processed in the initial non-fine-grained # build. Other modules may be brought in as a result of an # fine-grained increment, and we may need these # dependencies then to handle cyclic imports. return {} from mypy.server.deps import get_dependencies # Lazy import to speed up startup return get_dependencies( target=self.tree, type_map=self.type_map(), python_version=self.options.python_version, options=self.manager.options, ) def update_fine_grained_deps(self, deps: dict[str, set[str]]) -> None: options = self.manager.options if options.cache_fine_grained or options.fine_grained_incremental: from mypy.server.deps import merge_dependencies # Lazy import to speed up startup merge_dependencies(self.compute_fine_grained_deps(), deps) type_state.update_protocol_deps(deps) def write_cache(self) -> tuple[CacheMeta, str] | None: assert self.tree is not None, "Internal error: method must be called on parsed file only" # We don't support writing cache files in fine-grained incremental mode. if ( not self.path or self.options.cache_dir == os.devnull or self.options.fine_grained_incremental ): if self.options.debug_serialize: try: if self.manager.options.fixed_format_cache: data = WriteBuffer() self.tree.write(data) else: self.tree.serialize() except Exception: print(f"Error serializing {self.id}", file=self.manager.stdout) raise # Propagate to display traceback return None dep_prios = self.dependency_priorities() dep_lines = self.dependency_lines() assert self.source_hash is not None assert len(set(self.dependencies)) == len( self.dependencies ), f"Duplicates in dependencies list for {self.id} ({self.dependencies})" new_interface_hash, meta_tuple = write_cache( self.id, self.path, self.tree, list(self.dependencies), list(self.suppressed), dep_prios, dep_lines, self.interface_hash, self.source_hash, self.ignore_all, self.manager, ) if new_interface_hash == self.interface_hash: self.manager.log(f"Cached module {self.id} has same interface") else: self.manager.log(f"Cached module {self.id} has changed interface") self.mark_interface_stale() self.interface_hash = new_interface_hash return meta_tuple def verify_dependencies(self, suppressed_only: bool = False) -> None: """Report errors for import targets in modules that don't exist. If suppressed_only is set, only check suppressed dependencies. """ manager = self.manager assert self.ancestors is not None # Strip out indirect dependencies. See comment in build.load_graph(). if suppressed_only: all_deps = [dep for dep in self.suppressed if self.priorities.get(dep) != PRI_INDIRECT] else: dependencies = [ dep for dep in self.dependencies + self.suppressed if self.priorities.get(dep) != PRI_INDIRECT ] all_deps = dependencies + self.ancestors for dep in all_deps: if dep in manager.modules: continue options = manager.options.clone_for_module(dep) if options.ignore_missing_imports: continue line = self.dep_line_map.get(dep, 1) try: if dep in self.ancestors: state: State | None = None ancestor: State | None = self else: state, ancestor = self, None # Called just for its side effects of producing diagnostics. find_module_and_diagnose( manager, dep, options, caller_state=state, caller_line=line, ancestor_for=ancestor, ) except (ModuleNotFound, CompileError): # Swallow up any ModuleNotFounds or CompilerErrors while generating # a diagnostic. CompileErrors may get generated in # fine-grained mode when an __init__.py is deleted, if a module # that was in that package has targets reprocessed before # it is renamed. pass def dependency_priorities(self) -> list[int]: return [self.priorities.get(dep, PRI_HIGH) for dep in self.dependencies + self.suppressed] def dependency_lines(self) -> list[int]: return [self.dep_line_map.get(dep, 1) for dep in self.dependencies + self.suppressed] def generate_unused_ignore_notes(self) -> None: if ( self.options.warn_unused_ignores or codes.UNUSED_IGNORE in self.options.enabled_error_codes ) and codes.UNUSED_IGNORE not in self.options.disabled_error_codes: # If this file was initially loaded from the cache, it may have suppressed # dependencies due to imports with ignores on them. We need to generate # those errors to avoid spuriously flagging them as unused ignores. if self.meta: self.verify_dependencies(suppressed_only=True) self.manager.errors.generate_unused_ignore_errors(self.xpath) def generate_ignore_without_code_notes(self) -> None: if self.manager.errors.is_error_code_enabled(codes.IGNORE_WITHOUT_CODE): self.manager.errors.generate_ignore_without_code_errors( self.xpath, self.options.warn_unused_ignores ) # Module import and diagnostic glue def find_module_and_diagnose( manager: BuildManager, id: str, options: Options, caller_state: State | None = None, caller_line: int = 0, ancestor_for: State | None = None, root_source: bool = False, skip_diagnose: bool = False, ) -> tuple[str, str]: """Find a module by name, respecting follow_imports and producing diagnostics. If the module is not found, then the ModuleNotFound exception is raised. Args: id: module to find options: the options for the module being loaded caller_state: the state of the importing module, if applicable caller_line: the line number of the import ancestor_for: the child module this is an ancestor of, if applicable root_source: whether this source was specified on the command line skip_diagnose: skip any error diagnosis and reporting (but ModuleNotFound is still raised if the module is missing) The specified value of follow_imports for a module can be overridden if the module is specified on the command line or if it is a stub, so we compute and return the "effective" follow_imports of the module. Returns a tuple containing (file path, target's effective follow_imports setting) """ result = find_module_with_reason(id, manager) if isinstance(result, str): # For non-stubs, look at options.follow_imports: # - normal (default) -> fully analyze # - silent -> analyze but silence errors # - skip -> don't analyze, make the type Any follow_imports = options.follow_imports if ( root_source # Honor top-level modules or ( result.endswith(".pyi") # Stubs are always normal and not options.follow_imports_for_stubs # except when they aren't ) or id in CORE_BUILTIN_MODULES # core is always normal ): follow_imports = "normal" if skip_diagnose: pass elif follow_imports == "silent": # Still import it, but silence non-blocker errors. manager.log(f"Silencing {result} ({id})") elif follow_imports == "skip" or follow_imports == "error": # In 'error' mode, produce special error messages. if id not in manager.missing_modules: manager.log(f"Skipping {result} ({id})") if follow_imports == "error": if ancestor_for: skipping_ancestor(manager, id, result, ancestor_for) else: skipping_module(manager, caller_line, caller_state, id, result) raise ModuleNotFound if is_silent_import_module(manager, result) and not root_source: follow_imports = "silent" return (result, follow_imports) else: # Could not find a module. Typically the reason is a # misspelled module name, missing stub, module not in # search path or the module has not been installed. ignore_missing_imports = options.ignore_missing_imports # Don't honor a global (not per-module) ignore_missing_imports # setting for modules that used to have bundled stubs, as # otherwise updating mypy can silently result in new false # negatives. (Unless there are stubs but they are incomplete.) global_ignore_missing_imports = manager.options.ignore_missing_imports if ( is_module_from_legacy_bundled_package(id) and global_ignore_missing_imports and not options.ignore_missing_imports_per_module and result is ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED ): ignore_missing_imports = False if skip_diagnose: raise ModuleNotFound if caller_state: if not (ignore_missing_imports or in_partial_package(id, manager)): module_not_found(manager, caller_line, caller_state, id, result) raise ModuleNotFound elif root_source: # If we can't find a root source it's always fatal. # TODO: This might hide non-fatal errors from # root sources processed earlier. raise CompileError([f"mypy: can't find module '{id}'"]) else: raise ModuleNotFound def exist_added_packages(suppressed: list[str], manager: BuildManager, options: Options) -> bool: """Find if there are any newly added packages that were previously suppressed. Exclude everything not in build for follow-imports=skip. """ for dep in suppressed: if dep in manager.source_set.source_modules: # We don't need to add any special logic for this. If a module # is added to build, importers will be invalidated by normal mechanism. continue path = find_module_simple(dep, manager) if not path: continue if options.follow_imports == "skip" and ( not path.endswith(".pyi") or options.follow_imports_for_stubs ): continue if "__init__.py" in path: # It is better to have a bit lenient test, this will only slightly reduce # performance, while having a too strict test may affect correctness. return True return False def find_module_simple(id: str, manager: BuildManager) -> str | None: """Find a filesystem path for module `id` or `None` if not found.""" t0 = time.time() x = manager.find_module_cache.find_module(id, fast_path=True) manager.add_stats(find_module_time=time.time() - t0, find_module_calls=1) if isinstance(x, ModuleNotFoundReason): return None return x def find_module_with_reason(id: str, manager: BuildManager) -> ModuleSearchResult: """Find a filesystem path for module `id` or the reason it can't be found.""" t0 = time.time() x = manager.find_module_cache.find_module(id, fast_path=False) manager.add_stats(find_module_time=time.time() - t0, find_module_calls=1) return x def in_partial_package(id: str, manager: BuildManager) -> bool: """Check if a missing module can potentially be a part of a package. This checks if there is any existing parent __init__.pyi stub that defines a module-level __getattr__ (a.k.a. partial stub package). """ while "." in id: parent, _ = id.rsplit(".", 1) if parent in manager.modules: parent_mod: MypyFile | None = manager.modules[parent] else: # Parent is not in build, try quickly if we can find it. try: parent_st = State( id=parent, path=None, source=None, manager=manager, temporary=True ) except (ModuleNotFound, CompileError): parent_mod = None else: parent_mod = parent_st.tree if parent_mod is not None: # Bail out soon, complete subpackage found return parent_mod.is_partial_stub_package id = parent return False def module_not_found( manager: BuildManager, line: int, caller_state: State, target: str, reason: ModuleNotFoundReason, ) -> None: errors = manager.errors save_import_context = errors.import_context() errors.set_import_context(caller_state.import_context) errors.set_file(caller_state.xpath, caller_state.id, caller_state.options) if target == "builtins": errors.report( line, 0, "Cannot find 'builtins' module. Typeshed appears broken!", blocker=True ) errors.raise_error() else: daemon = manager.options.fine_grained_incremental msg, notes = reason.error_message_templates(daemon) if reason == ModuleNotFoundReason.NOT_FOUND: code = codes.IMPORT_NOT_FOUND elif ( reason == ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS or reason == ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED ): code = codes.IMPORT_UNTYPED else: code = codes.IMPORT errors.report(line, 0, msg.format(module=target), code=code) dist = stub_distribution_name(target) for note in notes: if "{stub_dist}" in note: assert dist is not None note = note.format(stub_dist=dist) errors.report(line, 0, note, severity="note", only_once=True, code=code) if reason is ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED: assert dist is not None manager.missing_stub_packages.add(dist) errors.set_import_context(save_import_context) def skipping_module( manager: BuildManager, line: int, caller_state: State | None, id: str, path: str ) -> None: """Produce an error for an import ignored due to --follow_imports=error""" assert caller_state, (id, path) save_import_context = manager.errors.import_context() manager.errors.set_import_context(caller_state.import_context) manager.errors.set_file(caller_state.xpath, caller_state.id, manager.options) manager.errors.report(line, 0, f'Import of "{id}" ignored', severity="error") manager.errors.report( line, 0, "(Using --follow-imports=error, module not passed on command line)", severity="note", only_once=True, ) manager.errors.set_import_context(save_import_context) def skipping_ancestor(manager: BuildManager, id: str, path: str, ancestor_for: State) -> None: """Produce an error for an ancestor ignored due to --follow_imports=error""" # TODO: Read the path (the __init__.py file) and return # immediately if it's empty or only contains comments. # But beware, some package may be the ancestor of many modules, # so we'd need to cache the decision. manager.errors.set_import_context([]) manager.errors.set_file(ancestor_for.xpath, ancestor_for.id, manager.options) manager.errors.report( -1, -1, f'Ancestor package "{id}" ignored', severity="error", only_once=True ) manager.errors.report( -1, -1, "(Using --follow-imports=error, submodule passed on command line)", severity="note", only_once=True, ) def log_configuration(manager: BuildManager, sources: list[BuildSource]) -> None: """Output useful configuration information to LOG and TRACE""" config_file = manager.options.config_file if config_file: config_file = os.path.abspath(config_file) manager.log() configuration_vars = [ ("Mypy Version", __version__), ("Config File", (config_file or "Default")), ("Configured Executable", manager.options.python_executable or "None"), ("Current Executable", sys.executable), ("Cache Dir", manager.options.cache_dir), ("Compiled", str(not __file__.endswith(".py"))), ("Exclude", manager.options.exclude), ] for conf_name, conf_value in configuration_vars: manager.log(f"{conf_name + ':':24}{conf_value}") for source in sources: manager.log(f"{'Found source:':24}{source}") # Complete list of searched paths can get very long, put them under TRACE for path_type, paths in manager.search_paths.asdict().items(): if not paths: manager.trace(f"No {path_type}") continue manager.trace(f"{path_type}:") for pth in paths: manager.trace(f" {pth}") # The driver def dispatch(sources: list[BuildSource], manager: BuildManager, stdout: TextIO) -> Graph: log_configuration(manager, sources) t0 = time.time() graph = load_graph(sources, manager) # This is a kind of unfortunate hack to work around some of fine-grained's # fragility: if we have loaded less than 50% of the specified files from # cache in fine-grained cache mode, load the graph again honestly. # In this case, we just turn the cache off entirely, so we don't need # to worry about some files being loaded and some from cache and so # that fine-grained mode never *writes* to the cache. if manager.use_fine_grained_cache() and len(graph) < 0.50 * len(sources): manager.log("Redoing load_graph without cache because too much was missing") manager.cache_enabled = False graph = load_graph(sources, manager) for id in graph: manager.import_map[id] = set(graph[id].dependencies + graph[id].suppressed) t1 = time.time() manager.add_stats( graph_size=len(graph), stubs_found=sum(g.path is not None and g.path.endswith(".pyi") for g in graph.values()), graph_load_time=(t1 - t0), fm_cache_size=len(manager.find_module_cache.results), ) if not graph: print("Nothing to do?!", file=stdout) return graph manager.log(f"Loaded graph with {len(graph)} nodes ({t1 - t0:.3f} sec)") if manager.options.dump_graph: dump_graph(graph, stdout) return graph # Fine grained dependencies that didn't have an associated module in the build # are serialized separately, so we read them after we load the graph. # We need to read them both for running in daemon mode and if we are generating # a fine-grained cache (so that we can properly update them incrementally). # The `read_deps_cache` will also validate # the deps cache against the loaded individual cache files. if manager.options.cache_fine_grained or manager.use_fine_grained_cache(): t2 = time.time() fg_deps_meta = read_deps_cache(manager, graph) manager.add_stats(load_fg_deps_time=time.time() - t2) if fg_deps_meta is not None: manager.fg_deps_meta = fg_deps_meta elif manager.stats.get("fresh_metas", 0) > 0: # Clear the stats so we don't infinite loop because of positive fresh_metas manager.stats.clear() # There were some cache files read, but no fine-grained dependencies loaded. manager.log("Error reading fine-grained dependencies cache -- aborting cache load") manager.cache_enabled = False manager.log("Falling back to full run -- reloading graph...") return dispatch(sources, manager, stdout) # If we are loading a fine-grained incremental mode cache, we # don't want to do a real incremental reprocess of the # graph---we'll handle it all later. if not manager.use_fine_grained_cache(): process_graph(graph, manager) # Update plugins snapshot. write_plugins_snapshot(manager) manager.old_plugins_snapshot = manager.plugins_snapshot if manager.options.cache_fine_grained or manager.options.fine_grained_incremental: # If we are running a daemon or are going to write cache for further fine grained use, # then we need to collect fine grained protocol dependencies. # Since these are a global property of the program, they are calculated after we # processed the whole graph. type_state.add_all_protocol_deps(manager.fg_deps) if not manager.options.fine_grained_incremental: rdeps = generate_deps_for_cache(manager, graph) write_deps_cache(rdeps, manager, graph) if manager.options.dump_deps: # This speeds up startup a little when not using the daemon mode. from mypy.server.deps import dump_all_dependencies dump_all_dependencies( manager.modules, manager.all_types, manager.options.python_version, manager.options ) return graph class NodeInfo: """Some info about a node in the graph of SCCs.""" def __init__(self, index: int, scc: list[str]) -> None: self.node_id = "n%d" % index self.scc = scc self.sizes: dict[str, int] = {} # mod -> size in bytes self.deps: dict[str, int] = {} # node_id -> pri def dumps(self) -> str: """Convert to JSON string.""" total_size = sum(self.sizes.values()) return "[{}, {}, {},\n {},\n {}]".format( json.dumps(self.node_id), json.dumps(total_size), json.dumps(self.scc), json.dumps(self.sizes), json.dumps(self.deps), ) def dump_timing_stats(path: str, graph: Graph) -> None: """Dump timing stats for each file in the given graph.""" with open(path, "w") as f: for id in sorted(graph): f.write(f"{id} {graph[id].time_spent_us}\n") def dump_line_checking_stats(path: str, graph: Graph) -> None: """Dump per-line expression type checking stats.""" with open(path, "w") as f: for id in sorted(graph): if not graph[id].per_line_checking_time_ns: continue f.write(f"{id}:\n") for line in sorted(graph[id].per_line_checking_time_ns): line_time = graph[id].per_line_checking_time_ns[line] f.write(f"{line:>5} {line_time/1000:8.1f}\n") def dump_graph(graph: Graph, stdout: TextIO | None = None) -> None: """Dump the graph as a JSON string to stdout. This copies some of the work by process_graph() (sorted_components() and order_ascc()). """ stdout = stdout or sys.stdout nodes = [] sccs = sorted_components(graph) for i, ascc in enumerate(sccs): scc = order_ascc(graph, ascc.mod_ids) node = NodeInfo(i, scc) nodes.append(node) inv_nodes = {} # module -> node_id for node in nodes: for mod in node.scc: inv_nodes[mod] = node.node_id for node in nodes: for mod in node.scc: state = graph[mod] size = 0 if state.path: try: size = os.path.getsize(state.path) except OSError: pass node.sizes[mod] = size for dep in state.dependencies: if dep in state.priorities: pri = state.priorities[dep] if dep in inv_nodes: dep_id = inv_nodes[dep] if dep_id != node.node_id and ( dep_id not in node.deps or pri < node.deps[dep_id] ): node.deps[dep_id] = pri print("[" + ",\n ".join(node.dumps() for node in nodes) + "\n]", file=stdout) def load_graph( sources: list[BuildSource], manager: BuildManager, old_graph: Graph | None = None, new_modules: list[State] | None = None, ) -> Graph: """Given some source files, load the full dependency graph. If an old_graph is passed in, it is used as the starting point and modified during graph loading. If a new_modules is passed in, any modules that are loaded are added to the list. This is an argument and not a return value so that the caller can access it even if load_graph fails. As this may need to parse files, this can raise CompileError in case there are syntax errors. """ graph: Graph = old_graph if old_graph is not None else {} # The deque is used to implement breadth-first traversal. # TODO: Consider whether to go depth-first instead. This may # affect the order in which we process files within import cycles. new = new_modules if new_modules is not None else [] entry_points: set[str] = set() # Seed the graph with the initial root sources. for bs in sources: try: st = State( id=bs.module, path=bs.path, source=bs.text, manager=manager, root_source=not bs.followed, ) except ModuleNotFound: continue if st.id in graph: manager.errors.set_file(st.xpath, st.id, manager.options) manager.errors.report( -1, -1, f'Duplicate module named "{st.id}" (also at "{graph[st.id].xpath}")', blocker=True, ) manager.errors.report( -1, -1, "See https://mypy.readthedocs.io/en/stable/running_mypy.html#mapping-file-paths-to-modules " "for more info", severity="note", ) manager.errors.report( -1, -1, "Common resolutions include: a) using `--exclude` to avoid checking one of them, " "b) adding `__init__.py` somewhere, c) using `--explicit-package-bases` or " "adjusting MYPYPATH", severity="note", ) manager.errors.raise_error() graph[st.id] = st new.append(st) entry_points.add(bs.module) # Note: Running this each time could be slow in the daemon. If it's a problem, we # can do more work to maintain this incrementally. seen_files = {st.abspath: st for st in graph.values() if st.path} # Collect dependencies. We go breadth-first. # More nodes might get added to new as we go, but that's fine. for st in new: assert st.ancestors is not None # Strip out indirect dependencies. These will be dealt with # when they show up as direct dependencies, and there's a # scenario where they hurt: # - Suppose A imports B and B imports C. # - Suppose on the next round: # - C is deleted; # - B is updated to remove the dependency on C; # - A is unchanged. # - In this case A's cached *direct* dependencies are still valid # (since direct dependencies reflect the imports found in the source) # but A's cached *indirect* dependency on C is wrong. dependencies = [dep for dep in st.dependencies if st.priorities.get(dep) != PRI_INDIRECT] if not manager.use_fine_grained_cache(): # TODO: Ideally we could skip here modules that appeared in st.suppressed # because they are not in build with `follow-imports=skip`. # This way we could avoid overhead of cloning options in `State.__init__()` # below to get the option value. This is quite minor performance loss however. added = [dep for dep in st.suppressed if find_module_simple(dep, manager)] else: # During initial loading we don't care about newly added modules, # they will be taken care of during fine grained update. See also # comment about this in `State.__init__()`. added = [] for dep in st.ancestors + dependencies + st.suppressed: ignored = dep in st.suppressed_set and dep not in entry_points if ignored and dep not in added: manager.missing_modules.add(dep) elif dep not in graph: try: if dep in st.ancestors: # TODO: Why not 'if dep not in st.dependencies' ? # Ancestors don't have import context. newst = State( id=dep, path=None, source=None, manager=manager, ancestor_for=st ) else: newst = State( id=dep, path=None, source=None, manager=manager, caller_state=st, caller_line=st.dep_line_map.get(dep, 1), ) except ModuleNotFound: if dep in st.dependencies_set: st.suppress_dependency(dep) else: if newst.path: newst_path = os.path.abspath(newst.path) if newst_path in seen_files: manager.errors.report( -1, 0, "Source file found twice under different module names: " '"{}" and "{}"'.format(seen_files[newst_path].id, newst.id), blocker=True, ) manager.errors.report( -1, 0, "See https://mypy.readthedocs.io/en/stable/running_mypy.html#mapping-file-paths-to-modules " "for more info", severity="note", ) manager.errors.report( -1, 0, "Common resolutions include: a) adding `__init__.py` somewhere, " "b) using `--explicit-package-bases` or adjusting MYPYPATH", severity="note", ) manager.errors.raise_error() seen_files[newst_path] = newst assert newst.id not in graph, newst.id graph[newst.id] = newst new.append(newst) if dep in graph and dep in st.suppressed_set: # Previously suppressed file is now visible st.add_dependency(dep) # In the loop above we skip indirect dependencies, so to make indirect dependencies behave # more consistently with regular ones, we suppress them manually here (when needed). for st in graph.values(): indirect = [dep for dep in st.dependencies if st.priorities.get(dep) == PRI_INDIRECT] for dep in indirect: if dep not in graph: st.suppress_dependency(dep) manager.plugin.set_modules(manager.modules) return graph def order_ascc_ex(graph: Graph, ascc: SCC) -> list[str]: """Apply extra heuristics on top of order_ascc(). This should be used only for actual SCCs, not for "inner" SCCs we create recursively during ordering of the SCC. Currently, this has only some special handling for builtin SCC. """ scc = order_ascc(graph, ascc.mod_ids) # Make the order of the SCC that includes 'builtins' and 'typing', # among other things, predictable. Various things may break if # the order changes. if "builtins" in ascc.mod_ids: scc = sorted(scc, reverse=True) # If builtins is in the list, move it last. (This is a bit of # a hack, but it's necessary because the builtins module is # part of a small cycle involving at least {builtins, abc, # typing}. Of these, builtins must be processed last or else # some builtin objects will be incompletely processed.) scc.remove("builtins") scc.append("builtins") return scc def find_stale_sccs( sccs: list[SCC], graph: Graph, manager: BuildManager ) -> tuple[list[SCC], list[SCC]]: """Split a list of ready SCCs into stale and fresh. Fresh SCCs are those where: * We have valid cache files for all modules in the SCC. * There are no changes in dependencies (files removed from/added to the build). * The interface hashes of direct dependents matches those recorded in the cache. The first and second conditions are verified by is_fresh(). """ stale_sccs = [] fresh_sccs = [] for ascc in sccs: stale_scc = {id for id in ascc.mod_ids if not graph[id].is_fresh()} fresh = not stale_scc # Verify that interfaces of dependencies still present in graph are up-to-date (fresh). stale_deps = set() for id in ascc.mod_ids: for dep in graph[id].dep_hashes: if dep in graph and graph[dep].interface_hash != graph[id].dep_hashes[dep]: stale_deps.add(dep) fresh = fresh and not stale_deps if fresh: fresh_msg = "fresh" elif stale_scc: fresh_msg = "inherently stale" if stale_scc != ascc.mod_ids: fresh_msg += f" ({' '.join(sorted(stale_scc))})" if stale_deps: fresh_msg += f" with stale deps ({' '.join(sorted(stale_deps))})" else: fresh_msg = f"stale due to deps ({' '.join(sorted(stale_deps))})" scc_str = " ".join(ascc.mod_ids) if fresh: manager.trace(f"Found {fresh_msg} SCC ({scc_str})") # If there is at most one file with errors we can skip the ordering to save time. mods_with_errors = [id for id in ascc.mod_ids if graph[id].error_lines] if len(mods_with_errors) <= 1: scc = mods_with_errors else: # Use exactly the same order as for stale SCCs for stability. scc = order_ascc_ex(graph, ascc) for id in scc: if graph[id].error_lines: manager.flush_errors( manager.errors.simplify_path(graph[id].xpath), graph[id].error_lines, False ) fresh_sccs.append(ascc) else: size = len(ascc.mod_ids) if size == 1: manager.log(f"Scheduling SCC singleton ({scc_str}) as {fresh_msg}") else: manager.log("Scheduling SCC of size %d (%s) as %s" % (size, scc_str, fresh_msg)) stale_sccs.append(ascc) return stale_sccs, fresh_sccs def process_graph(graph: Graph, manager: BuildManager) -> None: """Process everything in dependency order.""" sccs = sorted_components(graph) manager.log( "Found %d SCCs; largest has %d nodes" % (len(sccs), max(len(scc.mod_ids) for scc in sccs)) ) scc_by_id = {scc.id: scc for scc in sccs} manager.scc_by_id = scc_by_id manager.top_order = [scc.id for scc in sccs] # Prime the ready list with leaf SCCs (that have no dependencies). ready = [] not_ready = [] for scc in sccs: if not scc.deps: ready.append(scc) else: not_ready.append(scc) still_working = False while ready or not_ready or still_working: stale, fresh = find_stale_sccs(ready, graph, manager) if stale: manager.submit(stale) still_working = True # We eagerly walk over fresh SCCs to reach as many stale SCCs as soon # as possible. Only when there are no fresh SCCs, we wait on scheduled stale ones. # This strategy, similar to a naive strategy in minesweeper game, will allow us # to leverage parallelism as much as possible. if fresh: done = fresh else: done, still_working = manager.wait_for_done(graph) ready = [] for done_scc in done: for dependent in done_scc.direct_dependents: scc_by_id[dependent].not_ready_deps.discard(done_scc.id) if not scc_by_id[dependent].not_ready_deps: not_ready.remove(scc_by_id[dependent]) ready.append(scc_by_id[dependent]) def order_ascc(graph: Graph, ascc: AbstractSet[str], pri_max: int = PRI_INDIRECT) -> list[str]: """Come up with the ideal processing order within an SCC. Using the priorities assigned by all_imported_modules_in_file(), try to reduce the cycle to a DAG, by omitting arcs representing dependencies of lower priority. In the simplest case, if we have A <--> B where A has a top-level "import B" (medium priority) but B only has the reverse "import A" inside a function (low priority), we turn the cycle into a DAG by dropping the B --> A arc, which leaves only A --> B. If all arcs have the same priority, we fall back to sorting by reverse global order (the order in which modules were first encountered). The algorithm is recursive, as follows: when as arcs of different priorities are present, drop all arcs of the lowest priority, identify SCCs in the resulting graph, and apply the algorithm to each SCC thus found. The recursion is bounded because at each recursion the spread in priorities is (at least) one less. In practice there are only a few priority levels (less than a dozen) and in the worst case we just carry out the same algorithm for finding SCCs N times. Thus, the complexity is no worse than the complexity of the original SCC-finding algorithm -- see strongly_connected_components() below for a reference. """ if len(ascc) == 1: return list(ascc) pri_spread = set() for id in ascc: state = graph[id] for dep in state.dependencies: if dep in ascc: pri = state.priorities.get(dep, PRI_HIGH) if pri < pri_max: pri_spread.add(pri) if len(pri_spread) == 1: # Filtered dependencies are uniform -- order by global order. return sorted(ascc, key=lambda id: -graph[id].order) pri_max = max(pri_spread) sccs = sorted_components_inner(graph, ascc, pri_max) # The recursion is bounded by the len(pri_spread) check above. return [s for ss in sccs for s in order_ascc(graph, ss, pri_max)] def process_fresh_modules(graph: Graph, modules: list[str], manager: BuildManager) -> None: """Process the modules in one group of modules from their cached data. This can be used to process an SCC of modules. This involves loading the tree (i.e. module symbol tables) from cache file and then fixing cross-references in the symbols. """ t0 = time.time() for id in modules: graph[id].load_tree() t1 = time.time() for id in modules: graph[id].fix_cross_refs() t2 = time.time() manager.add_stats(process_fresh_time=t2 - t0, load_tree_time=t1 - t0) def process_stale_scc(graph: Graph, ascc: SCC, manager: BuildManager) -> None: """Process the modules in one SCC from source code.""" # First verify if all transitive dependencies are loaded in the current process. missing_sccs = set() sccs_to_find = ascc.deps.copy() while sccs_to_find: dep_scc = sccs_to_find.pop() if dep_scc in manager.done_sccs or dep_scc in missing_sccs: continue missing_sccs.add(dep_scc) sccs_to_find.update(manager.scc_by_id[dep_scc].deps) if missing_sccs: # Load missing SCCs from cache. # TODO: speed-up ordering if this causes problems for large builds. fresh_sccs_to_load = [ manager.scc_by_id[sid] for sid in manager.top_order if sid in missing_sccs ] manager.log(f"Processing {len(fresh_sccs_to_load)} fresh SCCs") if ( not manager.options.test_env and platform.python_implementation() == "CPython" and manager.gc_freeze_cycles < MAX_GC_FREEZE_CYCLES ): # When deserializing cache we create huge amount of new objects, so even # with our generous GC thresholds, GC is still doing a lot of pointless # work searching for garbage. So, we temporarily disable it when # processing fresh SCCs, and then move all the new objects to the oldest # generation with the freeze()/unfreeze() trick below. This is arguably # a hack, but it gives huge performance wins for large third-party # libraries, like torch. gc.collect() gc.disable() for prev_scc in fresh_sccs_to_load: manager.done_sccs.add(prev_scc.id) process_fresh_modules(graph, sorted(prev_scc.mod_ids), manager) if ( not manager.options.test_env and platform.python_implementation() == "CPython" and manager.gc_freeze_cycles < MAX_GC_FREEZE_CYCLES ): manager.gc_freeze_cycles += 1 gc.freeze() gc.unfreeze() gc.enable() # Process the SCC in stable order. scc = order_ascc_ex(graph, ascc) stale = scc for id in stale: # We may already have parsed the module, or not. # If the former, parse_file() is a no-op. graph[id].parse_file() if "typing" in scc: # For historical reasons we need to manually add typing aliases # for built-in generic collections, see docstring of # SemanticAnalyzerPass2.add_builtin_aliases for details. typing_mod = graph["typing"].tree assert typing_mod, "The typing module was not parsed" mypy.semanal_main.semantic_analysis_for_scc(graph, scc, manager.errors) # Track what modules aren't yet done, so we can finish them as soon # as possible, saving memory. unfinished_modules = set(stale) for id in stale: graph[id].type_check_first_pass() if not graph[id].type_checker().deferred_nodes: unfinished_modules.discard(id) graph[id].detect_possibly_undefined_vars() graph[id].finish_passes() while unfinished_modules: for id in stale: if id not in unfinished_modules: continue if not graph[id].type_check_second_pass(): unfinished_modules.discard(id) graph[id].detect_possibly_undefined_vars() graph[id].finish_passes() for id in stale: graph[id].generate_unused_ignore_notes() graph[id].generate_ignore_without_code_notes() # Flush errors, and write cache in two phases: first data files, then meta files. meta_tuples = {} errors_by_id = {} for id in stale: if graph[id].xpath not in manager.errors.ignored_files: errors = manager.errors.file_messages( graph[id].xpath, formatter=manager.error_formatter ) manager.flush_errors(manager.errors.simplify_path(graph[id].xpath), errors, False) errors_by_id[id] = errors meta_tuples[id] = graph[id].write_cache() graph[id].mark_as_rechecked() for id in stale: meta_tuple = meta_tuples[id] if meta_tuple is None: continue meta, meta_file = meta_tuple meta.dep_hashes = [graph[dep].interface_hash for dep in graph[id].dependencies] meta.error_lines = errors_by_id.get(id, []) write_cache_meta(meta, manager, meta_file) manager.done_sccs.add(ascc.id) def prepare_sccs_full( raw_sccs: Iterator[set[str]], edges: dict[str, list[str]] ) -> dict[SCC, set[SCC]]: """Turn raw SCC sets into SCC objects and build dependency graph for SCCs.""" sccs = [SCC(raw_scc) for raw_scc in raw_sccs] scc_map = {} for scc in sccs: for id in scc.mod_ids: scc_map[id] = scc scc_deps_map: dict[SCC, set[SCC]] = {} for scc in sccs: for id in scc.mod_ids: scc_deps_map.setdefault(scc, set()).update(scc_map[dep] for dep in edges[id]) for scc in sccs: # Remove trivial dependency on itself. scc_deps_map[scc].discard(scc) for dep_scc in scc_deps_map[scc]: scc.deps.add(dep_scc.id) scc.not_ready_deps.add(dep_scc.id) return scc_deps_map def sorted_components(graph: Graph) -> list[SCC]: """Return the graph's SCCs, topologically sorted by dependencies. The sort order is from leaves (nodes without dependencies) to roots (nodes on which no other nodes depend). """ # Compute SCCs. vertices = set(graph) edges = {id: deps_filtered(graph, vertices, id, PRI_INDIRECT) for id in vertices} scc_dep_map = prepare_sccs_full(strongly_connected_components(vertices, edges), edges) # Topsort. res = [] for ready in topsort(scc_dep_map): # Sort the sets in ready by reversed smallest State.order. Examples: # # - If ready is [{x}, {y}], x.order == 1, y.order == 2, we get # [{y}, {x}]. # # - If ready is [{a, b}, {c, d}], a.order == 1, b.order == 3, # c.order == 2, d.order == 4, the sort keys become [1, 2] # and the result is [{c, d}, {a, b}]. sorted_ready = sorted(ready, key=lambda scc: -min(graph[id].order for id in scc.mod_ids)) for scc in sorted_ready: for dep in scc_dep_map[scc]: dep.direct_dependents.append(scc.id) res.extend(sorted_ready) return res def sorted_components_inner( graph: Graph, vertices: AbstractSet[str], pri_max: int ) -> list[AbstractSet[str]]: """Simplified version of sorted_components() to work with sub-graphs. This doesn't create SCC objects, and operates with raw sets. This function also allows filtering dependencies to take into account when building SCCs. This is used for heuristic ordering of modules within actual SCCs. """ edges = {id: deps_filtered(graph, vertices, id, pri_max) for id in vertices} sccs = list(strongly_connected_components(vertices, edges)) res = [] for ready in topsort(prepare_sccs(sccs, edges)): res.extend(sorted(ready, key=lambda scc: -min(graph[id].order for id in scc))) return res def deps_filtered(graph: Graph, vertices: AbstractSet[str], id: str, pri_max: int) -> list[str]: """Filter dependencies for id with pri < pri_max.""" if id not in vertices: return [] state = graph[id] return [ dep for dep in state.dependencies if dep in vertices and state.priorities.get(dep, PRI_HIGH) < pri_max ] def missing_stubs_file(cache_dir: str) -> str: return os.path.join(cache_dir, "missing_stubs") def record_missing_stub_packages(cache_dir: str, missing_stub_packages: set[str]) -> None: """Write a file containing missing stub packages. This allows a subsequent "mypy --install-types" run (without other arguments) to install missing stub packages. """ fnam = missing_stubs_file(cache_dir) if missing_stub_packages: with open(fnam, "w") as f: for pkg in sorted(missing_stub_packages): f.write(f"{pkg}\n") else: if os.path.isfile(fnam): os.remove(fnam) def is_silent_import_module(manager: BuildManager, path: str) -> bool: if manager.options.no_silence_site_packages: return False # Silence errors in site-package dirs and typeshed if any(is_sub_path_normabs(path, dir) for dir in manager.search_paths.package_path): return True return any(is_sub_path_normabs(path, dir) for dir in manager.search_paths.typeshed_path) def write_undocumented_ref_info( state: State, metastore: MetadataStore, options: Options, type_map: dict[Expression, Type] ) -> None: # This exports some dependency information in a rather ad-hoc fashion, which # can be helpful for some tools. This is all highly experimental and could be # removed at any time. from mypy.refinfo import get_undocumented_ref_info_json if not state.tree: # We need a full AST for this. return _, data_file, _ = get_cache_names(state.id, state.xpath, options) ref_info_file = ".".join(data_file.split(".")[:-2]) + ".refs.json" assert not ref_info_file.startswith(".") deps_json = get_undocumented_ref_info_json(state.tree, type_map) metastore.write(ref_info_file, json_dumps(deps_json)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/cache.py0000644000175100017510000003770415112307767014705 0ustar00runnerrunner""" This module contains high-level logic for fixed format serialization. Lower-level parts are implemented in C in mypyc/lib-rt/librt_internal.c Short summary of low-level functionality: * integers are automatically serialized as 1, 2, or 4 bytes, or arbitrary length. * str/bytes are serialized as size (1, 2, or 4 bytes) followed by bytes buffer. * floats are serialized as C doubles. At high-level we add type tags as needed so that our format is self-descriptive. More precisely: * False, True, and None are stored as just a tag: 0, 1, 2 correspondingly. * builtin primitives like int/str/bytes/float are stored as their type tag followed by bare (low-level) representation of the value. Reserved tag range for primitives is 3 ... 19. * generic (heterogeneous) list are stored as tag, followed by bare size, followed by sequence of tagged values. * homogeneous lists of primitives are stored as tag, followed by bare size, followed by sequence of bare values. * reserved tag range for sequence-like builtins is 20 ... 29 * currently we have only one mapping-like format: string-keyed dictionary with heterogeneous values. It is stored as tag, followed by bare size, followed by sequence of pairs: bare string key followed by tagged value. * reserved tag range for mapping-like builtins is 30 ... 39 * there is an additional reserved tag range 40 ... 49 for any other builtin collections. * custom classes (like types, symbols etc.) are stored as tag, followed by a sequence of tagged field values, followed by a special end tag 255. Names of class fields are *not* stored, the caller should know the field names and order for the given class tag. * reserved tag range for symbols (TypeInfo, Var, etc) is 50 ... 79. * class Instance is the only exception from the above format (since it is the most common one). It has two extra formats: few most common instances like "builtins.object" are stored as instance tag followed by a secondary tag, other plain non-generic instances are stored as instance tag followed by secondary tag followed by fullname as bare string. All generic readers must handle these. * reserved tag range for Instance type formats is 80 ... 99, for other types it is 100 ... 149. * tag 254 is reserved for if we would ever need to extend the tag range to indicated second tag page. Tags 150 ... 253 are free for everything else (e.g. AST nodes etc). General convention is that custom classes implement write() and read() methods for FF serialization. The write method should write both class tag and end tag. The read method conventionally *does not* read the start tag (to simplify logic for unions). Known exceptions are MypyFile.read() and SymbolTableNode.read(), since those two never appear in a union. If any of these details change, or if the structure of CacheMeta changes please bump CACHE_VERSION below. """ from __future__ import annotations from collections.abc import Sequence from typing import Any, Final, Union from typing_extensions import TypeAlias as _TypeAlias from librt.internal import ( ReadBuffer as ReadBuffer, WriteBuffer as WriteBuffer, read_bool as read_bool, read_bytes as read_bytes_bare, read_float as read_float_bare, read_int as read_int_bare, read_str as read_str_bare, read_tag as read_tag, write_bool as write_bool, write_bytes as write_bytes_bare, write_float as write_float_bare, write_int as write_int_bare, write_str as write_str_bare, write_tag as write_tag, ) from mypy_extensions import u8 # High-level cache layout format CACHE_VERSION: Final = 0 class CacheMeta: """Class representing cache metadata for a module.""" def __init__( self, *, id: str, path: str, mtime: int, size: int, hash: str, dependencies: list[str], data_mtime: int, data_file: str, suppressed: list[str], options: dict[str, object], dep_prios: list[int], dep_lines: list[int], dep_hashes: list[bytes], interface_hash: bytes, error_lines: list[str], version_id: str, ignore_all: bool, plugin_data: Any, ) -> None: self.id = id self.path = path self.mtime = mtime # source file mtime self.size = size # source file size self.hash = hash # source file hash (as a hex string for historical reasons) self.dependencies = dependencies # names of imported modules self.data_mtime = data_mtime # mtime of data_file self.data_file = data_file # path of .data.json or .data.ff self.suppressed = suppressed # dependencies that weren't imported self.options = options # build options snapshot # dep_prios and dep_lines are both aligned with dependencies + suppressed self.dep_prios = dep_prios self.dep_lines = dep_lines # dep_hashes list is aligned with dependencies only self.dep_hashes = dep_hashes # list of interface_hash for dependencies self.interface_hash = interface_hash # hash representing the public interface self.error_lines = error_lines self.version_id = version_id # mypy version for cache invalidation self.ignore_all = ignore_all # if errors were ignored self.plugin_data = plugin_data # config data from plugins def serialize(self) -> dict[str, Any]: return { "id": self.id, "path": self.path, "mtime": self.mtime, "size": self.size, "hash": self.hash, "data_mtime": self.data_mtime, "dependencies": self.dependencies, "suppressed": self.suppressed, "options": self.options, "dep_prios": self.dep_prios, "dep_lines": self.dep_lines, "dep_hashes": [dep.hex() for dep in self.dep_hashes], "interface_hash": self.interface_hash.hex(), "error_lines": self.error_lines, "version_id": self.version_id, "ignore_all": self.ignore_all, "plugin_data": self.plugin_data, } @classmethod def deserialize(cls, meta: dict[str, Any], data_file: str) -> CacheMeta | None: try: return CacheMeta( id=meta["id"], path=meta["path"], mtime=meta["mtime"], size=meta["size"], hash=meta["hash"], dependencies=meta["dependencies"], data_mtime=meta["data_mtime"], data_file=data_file, suppressed=meta["suppressed"], options=meta["options"], dep_prios=meta["dep_prios"], dep_lines=meta["dep_lines"], dep_hashes=[bytes.fromhex(dep) for dep in meta["dep_hashes"]], interface_hash=bytes.fromhex(meta["interface_hash"]), error_lines=meta["error_lines"], version_id=meta["version_id"], ignore_all=meta["ignore_all"], plugin_data=meta["plugin_data"], ) except (KeyError, ValueError): return None def write(self, data: WriteBuffer) -> None: write_str(data, self.id) write_str(data, self.path) write_int(data, self.mtime) write_int(data, self.size) write_str(data, self.hash) write_str_list(data, self.dependencies) write_int(data, self.data_mtime) write_str_list(data, self.suppressed) write_json(data, self.options) write_int_list(data, self.dep_prios) write_int_list(data, self.dep_lines) write_bytes_list(data, self.dep_hashes) write_bytes(data, self.interface_hash) write_str_list(data, self.error_lines) write_str(data, self.version_id) write_bool(data, self.ignore_all) # Plugin data may be not a dictionary, so we use # a more generic write_json_value() here. write_json_value(data, self.plugin_data) @classmethod def read(cls, data: ReadBuffer, data_file: str) -> CacheMeta | None: try: return CacheMeta( id=read_str(data), path=read_str(data), mtime=read_int(data), size=read_int(data), hash=read_str(data), dependencies=read_str_list(data), data_mtime=read_int(data), data_file=data_file, suppressed=read_str_list(data), options=read_json(data), dep_prios=read_int_list(data), dep_lines=read_int_list(data), dep_hashes=read_bytes_list(data), interface_hash=read_bytes(data), error_lines=read_str_list(data), version_id=read_str(data), ignore_all=read_bool(data), plugin_data=read_json_value(data), ) except ValueError: return None # Always use this type alias to refer to type tags. Tag = u8 # Primitives. LITERAL_FALSE: Final[Tag] = 0 LITERAL_TRUE: Final[Tag] = 1 LITERAL_NONE: Final[Tag] = 2 LITERAL_INT: Final[Tag] = 3 LITERAL_STR: Final[Tag] = 4 LITERAL_BYTES: Final[Tag] = 5 LITERAL_FLOAT: Final[Tag] = 6 LITERAL_COMPLEX: Final[Tag] = 7 # Collections. LIST_GEN: Final[Tag] = 20 LIST_INT: Final[Tag] = 21 LIST_STR: Final[Tag] = 22 LIST_BYTES: Final[Tag] = 23 DICT_STR_GEN: Final[Tag] = 30 # Misc classes. EXTRA_ATTRS: Final[Tag] = 150 DT_SPEC: Final[Tag] = 151 END_TAG: Final[Tag] = 255 def read_literal(data: ReadBuffer, tag: Tag) -> int | str | bool | float: if tag == LITERAL_INT: return read_int_bare(data) elif tag == LITERAL_STR: return read_str_bare(data) elif tag == LITERAL_FALSE: return False elif tag == LITERAL_TRUE: return True elif tag == LITERAL_FLOAT: return read_float_bare(data) assert False, f"Unknown literal tag {tag}" # There is an intentional asymmetry between read and write for literals because # None and/or complex values are only allowed in some contexts but not in others. def write_literal(data: WriteBuffer, value: int | str | bool | float | complex | None) -> None: if isinstance(value, bool): write_bool(data, value) elif isinstance(value, int): write_tag(data, LITERAL_INT) write_int_bare(data, value) elif isinstance(value, str): write_tag(data, LITERAL_STR) write_str_bare(data, value) elif isinstance(value, float): write_tag(data, LITERAL_FLOAT) write_float_bare(data, value) elif isinstance(value, complex): write_tag(data, LITERAL_COMPLEX) write_float_bare(data, value.real) write_float_bare(data, value.imag) else: write_tag(data, LITERAL_NONE) def read_int(data: ReadBuffer) -> int: assert read_tag(data) == LITERAL_INT return read_int_bare(data) def write_int(data: WriteBuffer, value: int) -> None: write_tag(data, LITERAL_INT) write_int_bare(data, value) def read_str(data: ReadBuffer) -> str: assert read_tag(data) == LITERAL_STR return read_str_bare(data) def write_str(data: WriteBuffer, value: str) -> None: write_tag(data, LITERAL_STR) write_str_bare(data, value) def read_bytes(data: ReadBuffer) -> bytes: assert read_tag(data) == LITERAL_BYTES return read_bytes_bare(data) def write_bytes(data: WriteBuffer, value: bytes) -> None: write_tag(data, LITERAL_BYTES) write_bytes_bare(data, value) def read_int_opt(data: ReadBuffer) -> int | None: tag = read_tag(data) if tag == LITERAL_NONE: return None assert tag == LITERAL_INT return read_int_bare(data) def write_int_opt(data: WriteBuffer, value: int | None) -> None: if value is not None: write_tag(data, LITERAL_INT) write_int_bare(data, value) else: write_tag(data, LITERAL_NONE) def read_str_opt(data: ReadBuffer) -> str | None: tag = read_tag(data) if tag == LITERAL_NONE: return None assert tag == LITERAL_STR return read_str_bare(data) def write_str_opt(data: WriteBuffer, value: str | None) -> None: if value is not None: write_tag(data, LITERAL_STR) write_str_bare(data, value) else: write_tag(data, LITERAL_NONE) def read_int_list(data: ReadBuffer) -> list[int]: assert read_tag(data) == LIST_INT size = read_int_bare(data) return [read_int_bare(data) for _ in range(size)] def write_int_list(data: WriteBuffer, value: list[int]) -> None: write_tag(data, LIST_INT) write_int_bare(data, len(value)) for item in value: write_int_bare(data, item) def read_str_list(data: ReadBuffer) -> list[str]: assert read_tag(data) == LIST_STR size = read_int_bare(data) return [read_str_bare(data) for _ in range(size)] def write_str_list(data: WriteBuffer, value: Sequence[str]) -> None: write_tag(data, LIST_STR) write_int_bare(data, len(value)) for item in value: write_str_bare(data, item) def read_bytes_list(data: ReadBuffer) -> list[bytes]: assert read_tag(data) == LIST_BYTES size = read_int_bare(data) return [read_bytes_bare(data) for _ in range(size)] def write_bytes_list(data: WriteBuffer, value: Sequence[bytes]) -> None: write_tag(data, LIST_BYTES) write_int_bare(data, len(value)) for item in value: write_bytes_bare(data, item) def read_str_opt_list(data: ReadBuffer) -> list[str | None]: assert read_tag(data) == LIST_GEN size = read_int_bare(data) return [read_str_opt(data) for _ in range(size)] def write_str_opt_list(data: WriteBuffer, value: list[str | None]) -> None: write_tag(data, LIST_GEN) write_int_bare(data, len(value)) for item in value: write_str_opt(data, item) JsonValue: _TypeAlias = Union[None, int, str, bool, list["JsonValue"], dict[str, "JsonValue"]] def read_json_value(data: ReadBuffer) -> JsonValue: tag = read_tag(data) if tag == LITERAL_NONE: return None if tag == LITERAL_FALSE: return False if tag == LITERAL_TRUE: return True if tag == LITERAL_INT: return read_int_bare(data) if tag == LITERAL_STR: return read_str_bare(data) if tag == LIST_GEN: size = read_int_bare(data) return [read_json_value(data) for _ in range(size)] if tag == DICT_STR_GEN: size = read_int_bare(data) return {read_str_bare(data): read_json_value(data) for _ in range(size)} assert False, f"Invalid JSON tag: {tag}" # Currently tuples are used by mypyc plugin. They will be normalized to # JSON lists after a roundtrip. def write_json_value(data: WriteBuffer, value: JsonValue | tuple[JsonValue, ...]) -> None: if value is None: write_tag(data, LITERAL_NONE) elif isinstance(value, bool): write_bool(data, value) elif isinstance(value, int): write_tag(data, LITERAL_INT) write_int_bare(data, value) elif isinstance(value, str): write_tag(data, LITERAL_STR) write_str_bare(data, value) elif isinstance(value, (list, tuple)): write_tag(data, LIST_GEN) write_int_bare(data, len(value)) for val in value: write_json_value(data, val) elif isinstance(value, dict): write_tag(data, DICT_STR_GEN) write_int_bare(data, len(value)) for key in sorted(value): write_str_bare(data, key) write_json_value(data, value[key]) else: assert False, f"Invalid JSON value: {value}" # These are functions for JSON *dictionaries* specifically. Unfortunately, we # must use imprecise types here, because the callers use imprecise types. def read_json(data: ReadBuffer) -> dict[str, Any]: assert read_tag(data) == DICT_STR_GEN size = read_int_bare(data) return {read_str_bare(data): read_json_value(data) for _ in range(size)} def write_json(data: WriteBuffer, value: dict[str, Any]) -> None: write_tag(data, DICT_STR_GEN) write_int_bare(data, len(value)) for key in sorted(value): write_str_bare(data, key) write_json_value(data, value[key]) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/checker.py0000644000175100017510000147311415112307767015246 0ustar00runnerrunner"""Mypy type checker.""" from __future__ import annotations import itertools from collections import defaultdict from collections.abc import Iterable, Iterator, Mapping, Sequence, Set as AbstractSet from contextlib import ExitStack, contextmanager from typing import ( Callable, Final, Generic, Literal, NamedTuple, Optional, TypeVar, Union, cast, overload, ) from typing_extensions import TypeAlias as _TypeAlias, TypeGuard import mypy.checkexpr from mypy import errorcodes as codes, join, message_registry, nodes, operators from mypy.binder import ConditionalTypeBinder, Frame, get_declaration from mypy.checker_shared import CheckerScope, TypeCheckerSharedApi, TypeRange from mypy.checker_state import checker_state from mypy.checkmember import ( MemberContext, analyze_class_attribute_access, analyze_instance_member_access, analyze_member_access, is_instance_var, ) from mypy.checkpattern import PatternChecker from mypy.constraints import SUPERTYPE_OF from mypy.erasetype import erase_type, erase_typevars, remove_instance_last_known_values from mypy.errorcodes import TYPE_VAR, UNUSED_AWAITABLE, UNUSED_COROUTINE, ErrorCode from mypy.errors import ( ErrorInfo, Errors, ErrorWatcher, IterationDependentErrors, IterationErrorWatcher, report_internal_error, ) from mypy.expandtype import expand_type from mypy.literals import Key, extract_var_from_literal_hash, literal, literal_hash from mypy.maptype import map_instance_to_supertype from mypy.meet import is_overlapping_erased_types, is_overlapping_types, meet_types from mypy.message_registry import ErrorMessage from mypy.messages import ( SUGGESTED_TEST_FIXTURES, MessageBuilder, append_invariance_notes, append_union_note, format_type, format_type_bare, format_type_distinctly, make_inferred_type_note, pretty_seq, ) from mypy.mro import MroError, calculate_mro from mypy.nodes import ( ARG_NAMED, ARG_POS, ARG_STAR, CONTRAVARIANT, COVARIANT, FUNC_NO_INFO, GDEF, IMPLICITLY_ABSTRACT, INVARIANT, IS_ABSTRACT, LDEF, LITERAL_TYPE, MDEF, NOT_ABSTRACT, SYMBOL_FUNCBASE_TYPES, AssertStmt, AssignmentExpr, AssignmentStmt, AwaitExpr, Block, BreakStmt, BytesExpr, CallExpr, ClassDef, ComparisonExpr, Context, ContinueStmt, Decorator, DelStmt, DictExpr, EllipsisExpr, Expression, ExpressionStmt, FloatExpr, ForStmt, FuncBase, FuncDef, FuncItem, GlobalDecl, IfStmt, Import, ImportAll, ImportBase, ImportFrom, IndexExpr, IntExpr, LambdaExpr, ListExpr, Lvalue, MatchStmt, MemberExpr, MypyFile, NameExpr, Node, NonlocalDecl, OperatorAssignmentStmt, OpExpr, OverloadedFuncDef, OverloadPart, PassStmt, PromoteExpr, RaiseStmt, RefExpr, ReturnStmt, SetExpr, StarExpr, Statement, StrExpr, SymbolNode, SymbolTable, SymbolTableNode, TempNode, TryStmt, TupleExpr, TypeAlias, TypeAliasStmt, TypeInfo, UnaryExpr, Var, WhileStmt, WithStmt, YieldExpr, get_func_def, is_final_node, ) from mypy.operators import flip_ops, int_op_to_method, neg_ops from mypy.options import PRECISE_TUPLE_TYPES, Options from mypy.patterns import AsPattern, StarredPattern from mypy.plugin import Plugin from mypy.plugins import dataclasses as dataclasses_plugin from mypy.scope import Scope from mypy.semanal import is_trivial_body, refers_to_fullname, set_callable_name from mypy.semanal_enum import ENUM_BASES, ENUM_SPECIAL_PROPS from mypy.semanal_shared import SemanticAnalyzerCoreInterface from mypy.sharedparse import BINARY_MAGIC_METHODS from mypy.state import state from mypy.subtypes import ( find_member, infer_class_variances, is_callable_compatible, is_equivalent, is_more_precise, is_proper_subtype, is_same_type, is_subtype, restrict_subtype_away, unify_generic_callable, ) from mypy.traverser import TraverserVisitor, all_return_statements, has_return_statement from mypy.treetransform import TransformVisitor from mypy.typeanal import check_for_explicit_any, has_any_from_unimported_type, make_optional_type from mypy.typeops import ( bind_self, can_have_shared_disjoint_base, coerce_to_literal, custom_special_method, erase_def_to_union_or_bound, erase_to_bound, erase_to_union_or_bound, false_only, fixup_partial_type, function_type, is_literal_type_like, is_singleton_type, make_simplified_union, true_only, try_expanding_sum_type_to_union, try_getting_int_literals_from_type, try_getting_str_literals, try_getting_str_literals_from_type, tuple_fallback, type_object_type, ) from mypy.types import ( ANY_STRATEGY, MYPYC_NATIVE_INT_NAMES, NOT_IMPLEMENTED_TYPE_NAMES, OVERLOAD_NAMES, AnyType, BoolTypeQuery, CallableType, DeletedType, ErasedType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeGuardedType, TypeOfAny, TypeTranslator, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, find_unpack_in_list, flatten_nested_unions, get_proper_type, get_proper_types, instance_cache, is_literal_type, is_named_instance, ) from mypy.types_utils import is_overlapping_none, remove_optional, store_argument_type, strip_type from mypy.typetraverser import TypeTraverserVisitor from mypy.typevars import fill_typevars, fill_typevars_with_any, has_no_typevars from mypy.util import is_dunder, is_sunder from mypy.visitor import NodeVisitor T = TypeVar("T") DEFAULT_LAST_PASS: Final = 2 # Pass numbers start at 0 # Maximum length of fixed tuple types inferred when narrowing from variadic tuples. MAX_PRECISE_TUPLE_SIZE: Final = 8 DeferredNodeType: _TypeAlias = Union[FuncDef, OverloadedFuncDef, Decorator] FineGrainedDeferredNodeType: _TypeAlias = Union[FuncDef, MypyFile, OverloadedFuncDef] # A node which is postponed to be processed during the next pass. # In normal mode one can defer functions and methods (also decorated and/or overloaded) # but not lambda expressions. Nested functions can't be deferred -- only top-level functions # and methods of classes not defined within a function can be deferred. class DeferredNode(NamedTuple): node: DeferredNodeType # And its TypeInfo (for semantic analysis self type handling) active_typeinfo: TypeInfo | None # Same as above, but for fine-grained mode targets. Only top-level functions/methods # and module top levels are allowed as such. class FineGrainedDeferredNode(NamedTuple): node: FineGrainedDeferredNodeType active_typeinfo: TypeInfo | None # Data structure returned by find_isinstance_check representing # information learned from the truth or falsehood of a condition. The # dict maps nodes representing expressions like 'a[0].x' to their # refined types under the assumption that the condition has a # particular truth value. A value of None means that the condition can # never have that truth value. # NB: The keys of this dict are nodes in the original source program, # which are compared by reference equality--effectively, being *the # same* expression of the program, not just two identical expressions # (such as two references to the same variable). TODO: it would # probably be better to have the dict keyed by the nodes' literal_hash # field instead. TypeMap: _TypeAlias = Optional[dict[Expression, Type]] # Keeps track of partial types in a single scope. In fine-grained incremental # mode partial types initially defined at the top level cannot be completed in # a function, and we use the 'is_function' attribute to enforce this. class PartialTypeScope(NamedTuple): map: dict[Var, Context] is_function: bool is_local: bool class LocalTypeMap: """Store inferred types into a temporary type map (returned). This can be used to perform type checking "experiments" without affecting exported types (which are used by mypyc). """ def __init__(self, chk: TypeChecker) -> None: self.chk = chk def __enter__(self) -> dict[Expression, Type]: temp_type_map: dict[Expression, Type] = {} self.chk._type_maps.append(temp_type_map) return temp_type_map def __exit__(self, exc_type: object, exc_val: object, exc_tb: object) -> Literal[False]: self.chk._type_maps.pop() return False class TypeChecker(NodeVisitor[None], TypeCheckerSharedApi): """Mypy type checker. Type check mypy source files that have been semantically analyzed. You must create a separate instance for each source file. """ # Are we type checking a stub? is_stub = False # Error message reporter errors: Errors # Utility for generating messages msg: MessageBuilder # Types of type checked nodes. The first item is the "master" type # map that will store the final, exported types. Additional items # are temporary type maps used during type inference, and these # will be eventually popped and either discarded or merged into # the master type map. # # Avoid accessing this directly, but prefer the lookup_type(), # has_type() etc. helpers instead. _type_maps: list[dict[Expression, Type]] # Helper for managing conditional types binder: ConditionalTypeBinder # Helper for type checking expressions _expr_checker: mypy.checkexpr.ExpressionChecker pattern_checker: PatternChecker tscope: Scope scope: CheckerScope # Innermost enclosing type type: TypeInfo | None # Stack of function return types return_types: list[Type] # Flags; true for dynamically typed functions dynamic_funcs: list[bool] # Stack of collections of variables with partial types partial_types: list[PartialTypeScope] # Vars for which partial type errors are already reported # (to avoid logically duplicate errors with different error context). partial_reported: set[Var] # Short names of Var nodes whose previous inferred type has been widened via assignment. # NOTE: The names might not be unique, they are only for debugging purposes. widened_vars: list[str] globals: SymbolTable modules: dict[str, MypyFile] # Nodes that couldn't be checked because some types weren't available. We'll run # another pass and try these again. deferred_nodes: list[DeferredNode] # Type checking pass number (0 = first pass) pass_num = 0 # Last pass number to take last_pass = DEFAULT_LAST_PASS # Have we deferred the current function? If yes, don't infer additional # types during this pass within the function. current_node_deferred = False # Is this file a typeshed stub? is_typeshed_stub = False options: Options # Used for collecting inferred attribute types so that they can be checked # for consistency. inferred_attribute_types: dict[Var, Type] | None = None # Don't infer partial None types if we are processing assignment from Union no_partial_types: bool = False # Extra module references not detected during semantic analysis (these are rare cases # e.g. access to class-level import via instance). module_refs: set[str] # A map from variable nodes to a snapshot of the frame ids of the # frames that were active when the variable was declared. This can # be used to determine nearest common ancestor frame of a variable's # declaration and the current frame, which lets us determine if it # was declared in a different branch of the same `if` statement # (if that frame is a conditional_frame). var_decl_frames: dict[Var, set[int]] # Plugin that provides special type checking rules for specific library # functions such as open(), etc. plugin: Plugin # A helper state to produce unique temporary names on demand. _unique_id: int # Fake concrete type used when checking variance _variance_dummy_type: Instance | None def __init__( self, errors: Errors, modules: dict[str, MypyFile], options: Options, tree: MypyFile, path: str, plugin: Plugin, per_line_checking_time_ns: dict[int, int], ) -> None: """Construct a type checker. Use errors to report type check errors. """ self.errors = errors self.modules = modules self.options = options self.tree = tree self.path = path self.msg = MessageBuilder(errors, modules) self.plugin = plugin self.tscope = Scope() self.scope = CheckerScope(tree) self.binder = ConditionalTypeBinder(options) self.globals = tree.names self.type = None self.return_types = [] self.dynamic_funcs = [] self.partial_types = [] self.partial_reported = set() self.var_decl_frames = {} self.deferred_nodes = [] self.widened_vars = [] self._type_maps = [{}] self.module_refs = set() self.pass_num = 0 self.current_node_deferred = False self.is_stub = tree.is_stub self.is_typeshed_stub = tree.is_typeshed_file(options) self.inferred_attribute_types = None self.allow_constructor_cache = True self.local_type_map = LocalTypeMap(self) # If True, process function definitions. If False, don't. This is used # for processing module top levels in fine-grained incremental mode. self.recurse_into_functions = True # This internal flag is used to track whether we a currently type-checking # a final declaration (assignment), so that some errors should be suppressed. # Should not be set manually, use get_final_context/enter_final_context instead. # NOTE: we use the context manager to avoid "threading" an additional `is_final_def` # argument through various `checker` and `checkmember` functions. self._is_final_def = False # Track when we enter an overload implementation. Some checks should not be applied # to the implementation signature when specific overloads are available. # Use `enter_overload_impl` to modify. self.overload_impl_stack: list[OverloadPart] = [] # This flag is set when we run type-check or attribute access check for the purpose # of giving a note on possibly missing "await". It is used to avoid infinite recursion. self.checking_missing_await = False # While this is True, allow passing an abstract class where Type[T] is expected. # although this is technically unsafe, this is desirable in some context, for # example when type-checking class decorators. self.allow_abstract_call = False # Child checker objects for specific AST node types self._expr_checker = mypy.checkexpr.ExpressionChecker( self, self.msg, self.plugin, per_line_checking_time_ns ) self.pattern_checker = PatternChecker(self, self.msg, self.plugin, options) self._unique_id = 0 self._variance_dummy_type = None @property def expr_checker(self) -> mypy.checkexpr.ExpressionChecker: return self._expr_checker @property def type_context(self) -> list[Type | None]: return self._expr_checker.type_context def reset(self) -> None: """Cleanup stale state that might be left over from a typechecking run. This allows us to reuse TypeChecker objects in fine-grained incremental mode. """ # TODO: verify this is still actually worth it over creating new checkers self.partial_reported.clear() self.module_refs.clear() self.binder = ConditionalTypeBinder(self.options) self._type_maps[1:] = [] self._type_maps[0].clear() self.expr_checker.reset() self.deferred_nodes = [] self.partial_types = [] self.inferred_attribute_types = None self.scope = CheckerScope(self.tree) def check_first_pass(self) -> None: """Type check the entire file, but defer functions with unresolved references. Unresolved references are forward references to variables whose types haven't been inferred yet. They may occur later in the same file or in a different file that's being processed later (usually due to an import cycle). Deferred functions will be processed by check_second_pass(). """ self.recurse_into_functions = True with state.strict_optional_set(self.options.strict_optional), checker_state.set(self): self.errors.set_file( self.path, self.tree.fullname, scope=self.tscope, options=self.options ) with self.tscope.module_scope(self.tree.fullname): with self.enter_partial_types(), self.binder.top_frame_context(): for d in self.tree.defs: if self.binder.is_unreachable(): if not self.should_report_unreachable_issues(): break if not self.is_noop_for_reachability(d): self.msg.unreachable_statement(d) break else: self.accept(d) assert not self.current_node_deferred all_ = self.globals.get("__all__") if all_ is not None and all_.type is not None: all_node = all_.node assert all_node is not None seq_str = self.named_generic_type( "typing.Sequence", [self.named_type("builtins.str")] ) if not is_subtype(all_.type, seq_str): str_seq_s, all_s = format_type_distinctly( seq_str, all_.type, options=self.options ) self.fail( message_registry.ALL_MUST_BE_SEQ_STR.format(str_seq_s, all_s), all_node ) def check_second_pass( self, todo: Sequence[DeferredNode | FineGrainedDeferredNode] | None = None, *, allow_constructor_cache: bool = True, ) -> bool: """Run second or following pass of type checking. This goes through deferred nodes, returning True if there were any. """ self.allow_constructor_cache = allow_constructor_cache self.recurse_into_functions = True with state.strict_optional_set(self.options.strict_optional), checker_state.set(self): if not todo and not self.deferred_nodes: return False self.errors.set_file( self.path, self.tree.fullname, scope=self.tscope, options=self.options ) with self.tscope.module_scope(self.tree.fullname): self.pass_num += 1 if not todo: todo = self.deferred_nodes else: assert not self.deferred_nodes self.deferred_nodes = [] done: set[DeferredNodeType | FineGrainedDeferredNodeType] = set() for node, active_typeinfo in todo: if node in done: continue # This is useful for debugging: # print("XXX in pass %d, class %s, function %s" % # (self.pass_num, type_name, node.fullname or node.name)) done.add(node) with ExitStack() as stack: if active_typeinfo: stack.enter_context(self.tscope.class_scope(active_typeinfo)) stack.enter_context(self.scope.push_class(active_typeinfo)) self.check_partial(node) return True def check_partial(self, node: DeferredNodeType | FineGrainedDeferredNodeType) -> None: self.widened_vars = [] if isinstance(node, MypyFile): self.check_top_level(node) else: self.recurse_into_functions = True with self.binder.top_frame_context(): self.accept(node) def check_top_level(self, node: MypyFile) -> None: """Check only the top-level of a module, skipping function definitions.""" self.recurse_into_functions = False with self.enter_partial_types(): with self.binder.top_frame_context(): for d in node.defs: d.accept(self) assert not self.current_node_deferred # TODO: Handle __all__ def defer_node(self, node: DeferredNodeType, enclosing_class: TypeInfo | None) -> None: """Defer a node for processing during next type-checking pass. Args: node: function/method being deferred enclosing_class: for methods, the class where the method is defined NOTE: this can't handle nested functions/methods. """ # We don't freeze the entire scope since only top-level functions and methods # can be deferred. Only module/class level scope information is needed. # Module-level scope information is preserved in the TypeChecker instance. self.deferred_nodes.append(DeferredNode(node, enclosing_class)) def handle_cannot_determine_type(self, name: str, context: Context) -> None: node = self.scope.top_level_function() if self.pass_num < self.last_pass and isinstance(node, FuncDef): # Don't report an error yet. Just defer. Note that we don't defer # lambdas because they are coupled to the surrounding function # through the binder and the inferred type of the lambda, so it # would get messy. enclosing_class = self.scope.enclosing_class(node) self.defer_node(node, enclosing_class) # Set a marker so that we won't infer additional types in this # function. Any inferred types could be bogus, because there's at # least one type that we don't know. self.current_node_deferred = True else: self.msg.cannot_determine_type(name, context) def accept(self, stmt: Statement) -> None: """Type check a node in the given type context.""" try: stmt.accept(self) except Exception as err: report_internal_error(err, self.errors.file, stmt.line, self.errors, self.options) def accept_loop( self, body: Statement, else_body: Statement | None = None, *, exit_condition: Expression | None = None, on_enter_body: Callable[[], None] | None = None, ) -> None: """Repeatedly type check a loop body until the frame doesn't change.""" # The outer frame accumulates the results of all iterations: with self.binder.frame_context(can_skip=False, conditional_frame=True): # Check for potential decreases in the number of partial types so as not to stop the # iteration too early: partials_old = sum(len(pts.map) for pts in self.partial_types) # Check if assignment widened the inferred type of a variable; in this case we # need to iterate again (we only do one extra iteration, since this could go # on without bound otherwise) widened_old = len(self.widened_vars) iter_errors = IterationDependentErrors() iter = 1 while True: with self.binder.frame_context(can_skip=True, break_frame=2, continue_frame=1): if on_enter_body is not None: on_enter_body() with IterationErrorWatcher(self.msg.errors, iter_errors): self.accept(body) partials_new = sum(len(pts.map) for pts in self.partial_types) widened_new = len(self.widened_vars) # Perform multiple iterations if something changed that might affect # inferred types. Also limit the number of iterations. The limits are # somewhat arbitrary, but they were chosen to 1) avoid slowdown from # multiple iterations in common cases and 2) support common, valid use # cases. Limits are needed since otherwise we could infer infinitely # complex types. if ( (partials_new == partials_old) and (not self.binder.last_pop_changed or iter > 3) and (widened_new == widened_old or iter > 1) ): break partials_old = partials_new widened_old = widened_new iter += 1 if iter == 20: raise RuntimeError("Too many iterations when checking a loop") self.msg.iteration_dependent_errors(iter_errors) # If exit_condition is set, assume it must be False on exit from the loop: if exit_condition: _, else_map = self.find_isinstance_check(exit_condition) self.push_type_map(else_map) # Check the else body: if else_body: self.accept(else_body) # # Definitions # def visit_overloaded_func_def(self, defn: OverloadedFuncDef) -> None: if not self.recurse_into_functions: return with self.tscope.function_scope(defn): self._visit_overloaded_func_def(defn) def _visit_overloaded_func_def(self, defn: OverloadedFuncDef) -> None: num_abstract = 0 if not defn.items: # In this case we have already complained about none of these being # valid overloads. return if len(defn.items) == 1: self.fail(message_registry.MULTIPLE_OVERLOADS_REQUIRED, defn) if defn.is_property: # HACK: Infer the type of the property. assert isinstance(defn.items[0], Decorator) self.visit_decorator(defn.items[0]) if defn.items[0].var.is_settable_property: # Perform a reduced visit just to infer the actual setter type. self.visit_decorator_inner(defn.setter, skip_first_item=True) setter_type = defn.setter.var.type # Check if the setter can accept two positional arguments. any_type = AnyType(TypeOfAny.special_form) fallback_setter_type = CallableType( arg_types=[any_type, any_type], arg_kinds=[ARG_POS, ARG_POS], arg_names=[None, None], ret_type=any_type, fallback=self.named_type("builtins.function"), ) if setter_type and not is_subtype(setter_type, fallback_setter_type): self.fail("Invalid property setter signature", defn.setter.func) setter_type = self.extract_callable_type(setter_type, defn) if not isinstance(setter_type, CallableType) or len(setter_type.arg_types) != 2: # TODO: keep precise type for callables with tricky but valid signatures. setter_type = fallback_setter_type defn.items[0].var.setter_type = setter_type if isinstance(defn.type, Overloaded): # Update legacy property type for decorated properties. getter_type = self.extract_callable_type(defn.items[0].var.type, defn) if getter_type is not None: getter_type.definition = defn.items[0] defn.type.items[0] = getter_type for i, fdef in enumerate(defn.items): assert isinstance(fdef, Decorator) if defn.is_property: assert isinstance(defn.items[0], Decorator) settable = defn.items[0].var.is_settable_property # Do not visit the second time the items we checked above. if (settable and i > 1) or (not settable and i > 0): self.check_func_item(fdef.func, name=fdef.func.name, allow_empty=True) else: # Perform full check for real overloads to infer type of all decorated # overload variants. self.visit_decorator_inner(fdef, allow_empty=True) if fdef.func.abstract_status in (IS_ABSTRACT, IMPLICITLY_ABSTRACT): num_abstract += 1 if num_abstract not in (0, len(defn.items)): self.fail(message_registry.INCONSISTENT_ABSTRACT_OVERLOAD, defn) if defn.impl: with self.enter_overload_impl(defn.impl): defn.impl.accept(self) if not defn.is_property: self.check_overlapping_overloads(defn) if defn.type is None: item_types = [] for item in defn.items: assert isinstance(item, Decorator) item_type = self.extract_callable_type(item.var.type, item) if item_type is not None: item_type.definition = item item_types.append(item_type) if item_types: defn.type = Overloaded(item_types) elif defn.type is None: # We store the getter type as an overall overload type, as some # code paths are getting property type this way. assert isinstance(defn.items[0], Decorator) var_type = self.extract_callable_type(defn.items[0].var.type, defn) if not isinstance(var_type, CallableType): # Construct a fallback type, invalid types should be already reported. any_type = AnyType(TypeOfAny.special_form) var_type = CallableType( arg_types=[any_type], arg_kinds=[ARG_POS], arg_names=[None], ret_type=any_type, fallback=self.named_type("builtins.function"), ) defn.type = Overloaded([var_type]) # Check override validity after we analyzed current definition. if defn.info: found_method_base_classes = self.check_method_override(defn) if ( defn.is_explicit_override and not found_method_base_classes and found_method_base_classes is not None # If the class has Any fallback, we can't be certain that a method # is really missing - it might come from unfollowed import. and not defn.info.fallback_to_any ): self.msg.no_overridable_method(defn.name, defn) self.check_explicit_override_decorator(defn, found_method_base_classes, defn.impl) self.check_inplace_operator_method(defn) @contextmanager def enter_overload_impl(self, impl: OverloadPart) -> Iterator[None]: self.overload_impl_stack.append(impl) try: yield finally: assert self.overload_impl_stack.pop() == impl def extract_callable_type(self, inner_type: Type | None, ctx: Context) -> CallableType | None: """Get type as seen by an overload item caller.""" inner_type = get_proper_type(inner_type) outer_type: FunctionLike | None = None if inner_type is None or isinstance(inner_type, AnyType): return None if isinstance(inner_type, TypeVarLikeType): inner_type = get_proper_type(inner_type.upper_bound) if isinstance(inner_type, TypeType): inner_type = get_proper_type( self.expr_checker.analyze_type_type_callee(inner_type.item, ctx) ) if isinstance(inner_type, FunctionLike): outer_type = inner_type elif isinstance(inner_type, Instance): inner_call = get_proper_type( analyze_member_access( name="__call__", typ=inner_type, context=ctx, is_lvalue=False, is_super=False, is_operator=True, original_type=inner_type, chk=self, ) ) if isinstance(inner_call, FunctionLike): outer_type = inner_call elif isinstance(inner_type, UnionType): union_type = make_simplified_union(inner_type.items) if isinstance(union_type, UnionType): items = [] for item in union_type.items: callable_item = self.extract_callable_type(item, ctx) if callable_item is None: break items.append(callable_item) else: joined_type = get_proper_type(join.join_type_list(items)) if isinstance(joined_type, FunctionLike): outer_type = joined_type else: return self.extract_callable_type(union_type, ctx) if outer_type is None: self.msg.not_callable(inner_type, ctx) return None if isinstance(outer_type, Overloaded): return None assert isinstance(outer_type, CallableType) return outer_type def check_overlapping_overloads(self, defn: OverloadedFuncDef) -> None: # At this point we should have set the impl already, and all remaining # items are decorators if ( self.options.ignore_errors or self.msg.errors.file in self.msg.errors.ignored_files or (self.is_typeshed_stub and self.options.test_env) ): # This is a little hacky, however, the quadratic check here is really expensive, this # method has no side effects, so we should skip it if we aren't going to report # anything. In some other places we swallow errors in stubs, but this error is very # useful for stubs! return # Compute some info about the implementation (if it exists) for use below impl_type: CallableType | None = None if defn.impl: if isinstance(defn.impl, FuncDef): inner_type: Type | None = defn.impl.type elif isinstance(defn.impl, Decorator): inner_type = defn.impl.var.type else: assert False, "Impl isn't the right type" # This can happen if we've got an overload with a different # decorator or if the implementation is untyped -- we gave up on the types. impl_type = self.extract_callable_type(inner_type, defn.impl) is_descriptor_get = defn.info and defn.name == "__get__" for i, item in enumerate(defn.items): assert isinstance(item, Decorator) sig1 = self.extract_callable_type(item.var.type, item) if sig1 is None: continue for j, item2 in enumerate(defn.items[i + 1 :]): assert isinstance(item2, Decorator) sig2 = self.extract_callable_type(item2.var.type, item2) if sig2 is None: continue if not are_argument_counts_overlapping(sig1, sig2): continue if overload_can_never_match(sig1, sig2): self.msg.overloaded_signature_will_never_match(i + 1, i + j + 2, item2.func) elif not is_descriptor_get: # Note: we force mypy to check overload signatures in strict-optional mode # so we don't incorrectly report errors when a user tries typing an overload # that happens to have a 'if the argument is None' fallback. # # For example, the following is fine in strict-optional mode but would throw # the unsafe overlap error when strict-optional is disabled: # # @overload # def foo(x: None) -> int: ... # @overload # def foo(x: str) -> str: ... # # See Python 2's map function for a concrete example of this kind of overload. current_class = self.scope.active_class() type_vars = current_class.defn.type_vars if current_class else [] with state.strict_optional_set(True): if is_unsafe_overlapping_overload_signatures(sig1, sig2, type_vars): flip_note = ( j == 0 and not is_unsafe_overlapping_overload_signatures( sig2, sig1, type_vars ) and not overload_can_never_match(sig2, sig1) ) self.msg.overloaded_signatures_overlap( i + 1, i + j + 2, flip_note, item.func ) if impl_type is not None: assert defn.impl is not None # This is what we want from implementation, it should accept all arguments # of an overload, but the return types should go the opposite way. if is_callable_compatible( impl_type, sig1, is_compat=is_subtype, is_proper_subtype=False, is_compat_return=lambda l, r: is_subtype(r, l), ): continue # If the above check didn't work, we repeat some key steps in # is_callable_compatible() to give a better error message. # We perform a unification step that's very similar to what # 'is_callable_compatible' does -- the only difference is that # we check and see if the impl_type's return value is a # *supertype* of the overload alternative, not a *subtype*. # # This is to match the direction the implementation's return # needs to be compatible in. if impl_type.variables: impl: CallableType | None = unify_generic_callable( # Normalize both before unifying impl_type.with_unpacked_kwargs(), sig1.with_unpacked_kwargs(), ignore_return=False, return_constraint_direction=SUPERTYPE_OF, ) if impl is None: self.msg.overloaded_signatures_typevar_specific(i + 1, defn.impl) continue else: impl = impl_type # Prevent extra noise from inconsistent use of @classmethod by copying # the first arg from the method being checked against. if sig1.arg_types and defn.info: impl = impl.copy_modified(arg_types=[sig1.arg_types[0]] + impl.arg_types[1:]) # Is the overload alternative's arguments subtypes of the implementation's? if not is_callable_compatible( impl, sig1, is_compat=is_subtype, is_proper_subtype=False, ignore_return=True ): self.msg.overloaded_signatures_arg_specific(i + 1, defn.impl) # Is the overload alternative's return type a subtype of the implementation's? if not ( is_subtype(sig1.ret_type, impl.ret_type) or is_subtype(impl.ret_type, sig1.ret_type) ): self.msg.overloaded_signatures_ret_specific(i + 1, defn.impl) # Here's the scoop about generators and coroutines. # # There are two kinds of generators: classic generators (functions # with `yield` or `yield from` in the body) and coroutines # (functions declared with `async def`). The latter are specified # in PEP 492 and only available in Python >= 3.5. # # Classic generators can be parameterized with three types: # - ty is the Yield type (the type of y in `yield y`) # - tc is the type reCeived by yield (the type of c in `c = yield`). # - tr is the Return type (the type of r in `return r`) # # A classic generator must define a return type that's either # `Generator[ty, tc, tr]`, Iterator[ty], or Iterable[ty] (or # object or Any). If tc/tr are not given, both are None. # # A coroutine must define a return type corresponding to tr; the # other two are unconstrained. The "external" return type (seen # by the caller) is Awaitable[tr]. # # In addition, there's the synthetic type AwaitableGenerator: it # inherits from both Awaitable and Generator and can be used both # in `yield from` and in `await`. This type is set automatically # for functions decorated with `@types.coroutine` or # `@asyncio.coroutine`. Its single parameter corresponds to tr. # # PEP 525 adds a new type, the asynchronous generator, which was # first released in Python 3.6. Async generators are `async def` # functions that can also `yield` values. They can be parameterized # with two types, ty and tc, because they cannot return a value. # # There are several useful methods, each taking a type t and a # flag c indicating whether it's for a generator or coroutine: # # - is_generator_return_type(t, c) returns whether t is a Generator, # Iterator, Iterable (if not c), or Awaitable (if c), or # AwaitableGenerator (regardless of c). # - is_async_generator_return_type(t) returns whether t is an # AsyncGenerator. # - get_generator_yield_type(t, c) returns ty. # - get_generator_receive_type(t, c) returns tc. # - get_generator_return_type(t, c) returns tr. def is_generator_return_type(self, typ: Type, is_coroutine: bool) -> bool: """Is `typ` a valid type for a generator/coroutine? True if `typ` is a *supertype* of Generator or Awaitable. Also true it it's *exactly* AwaitableGenerator (modulo type parameters). """ typ = get_proper_type(typ) if is_coroutine: # This means we're in Python 3.5 or later. at = self.named_generic_type("typing.Awaitable", [AnyType(TypeOfAny.special_form)]) if is_subtype(at, typ): return True else: any_type = AnyType(TypeOfAny.special_form) gt = self.named_generic_type("typing.Generator", [any_type, any_type, any_type]) if is_subtype(gt, typ): return True return isinstance(typ, Instance) and typ.type.fullname == "typing.AwaitableGenerator" def is_async_generator_return_type(self, typ: Type) -> bool: """Is `typ` a valid type for an async generator? True if `typ` is a supertype of AsyncGenerator. """ try: any_type = AnyType(TypeOfAny.special_form) agt = self.named_generic_type("typing.AsyncGenerator", [any_type, any_type]) except KeyError: # we're running on a version of typing that doesn't have AsyncGenerator yet return False return is_subtype(agt, typ) def get_generator_yield_type(self, return_type: Type, is_coroutine: bool) -> Type: """Given the declared return type of a generator (t), return the type it yields (ty).""" return_type = get_proper_type(return_type) if isinstance(return_type, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=return_type) elif isinstance(return_type, UnionType): return make_simplified_union( [self.get_generator_yield_type(item, is_coroutine) for item in return_type.items] ) elif not self.is_generator_return_type( return_type, is_coroutine ) and not self.is_async_generator_return_type(return_type): # If the function doesn't have a proper Generator (or # Awaitable) return type, anything is permissible. return AnyType(TypeOfAny.from_error) elif not isinstance(return_type, Instance): # Same as above, but written as a separate branch so the typechecker can understand. return AnyType(TypeOfAny.from_error) elif return_type.type.fullname == "typing.Awaitable": # Awaitable: ty is Any. return AnyType(TypeOfAny.special_form) elif return_type.args: # AwaitableGenerator, Generator, AsyncGenerator, Iterator, or Iterable; ty is args[0]. ret_type = return_type.args[0] # TODO not best fix, better have dedicated yield token return ret_type else: # If the function's declared supertype of Generator has no type # parameters (i.e. is `object`), then the yielded values can't # be accessed so any type is acceptable. IOW, ty is Any. # (However, see https://github.com/python/mypy/issues/1933) return AnyType(TypeOfAny.special_form) def get_generator_receive_type(self, return_type: Type, is_coroutine: bool) -> Type: """Given a declared generator return type (t), return the type its yield receives (tc).""" return_type = get_proper_type(return_type) if isinstance(return_type, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=return_type) elif isinstance(return_type, UnionType): return make_simplified_union( [self.get_generator_receive_type(item, is_coroutine) for item in return_type.items] ) elif not self.is_generator_return_type( return_type, is_coroutine ) and not self.is_async_generator_return_type(return_type): # If the function doesn't have a proper Generator (or # Awaitable) return type, anything is permissible. return AnyType(TypeOfAny.from_error) elif not isinstance(return_type, Instance): # Same as above, but written as a separate branch so the typechecker can understand. return AnyType(TypeOfAny.from_error) elif return_type.type.fullname == "typing.Awaitable": # Awaitable, AwaitableGenerator: tc is Any. return AnyType(TypeOfAny.special_form) elif ( return_type.type.fullname in ("typing.Generator", "typing.AwaitableGenerator") and len(return_type.args) >= 3 ): # Generator: tc is args[1]. return return_type.args[1] elif return_type.type.fullname == "typing.AsyncGenerator" and len(return_type.args) >= 2: return return_type.args[1] else: # `return_type` is a supertype of Generator, so callers won't be able to send it # values. IOW, tc is None. return NoneType() def get_coroutine_return_type(self, return_type: Type) -> Type: return_type = get_proper_type(return_type) if isinstance(return_type, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=return_type) assert isinstance(return_type, Instance), "Should only be called on coroutine functions." # Note: return type is the 3rd type parameter of Coroutine. return return_type.args[2] def get_generator_return_type(self, return_type: Type, is_coroutine: bool) -> Type: """Given the declared return type of a generator (t), return the type it returns (tr).""" return_type = get_proper_type(return_type) if isinstance(return_type, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=return_type) elif isinstance(return_type, UnionType): return make_simplified_union( [self.get_generator_return_type(item, is_coroutine) for item in return_type.items] ) elif not self.is_generator_return_type(return_type, is_coroutine): # If the function doesn't have a proper Generator (or # Awaitable) return type, anything is permissible. return AnyType(TypeOfAny.from_error) elif not isinstance(return_type, Instance): # Same as above, but written as a separate branch so the typechecker can understand. return AnyType(TypeOfAny.from_error) elif return_type.type.fullname == "typing.Awaitable" and len(return_type.args) == 1: # Awaitable: tr is args[0]. return return_type.args[0] elif ( return_type.type.fullname in ("typing.Generator", "typing.AwaitableGenerator") and len(return_type.args) >= 3 ): # AwaitableGenerator, Generator: tr is args[2]. return return_type.args[2] else: # We have a supertype of Generator (Iterator, Iterable, object) # Treat `Iterator[X]` as a shorthand for `Generator[X, Any, None]`. return NoneType() def visit_func_def(self, defn: FuncDef) -> None: if not self.recurse_into_functions: return with self.tscope.function_scope(defn): self._visit_func_def(defn) def _visit_func_def(self, defn: FuncDef) -> None: """Type check a function definition.""" self.check_func_item(defn, name=defn.name) if defn.info: if not defn.is_overload and not defn.is_decorated: # If the definition is the implementation for an # overload, the legality of the override has already # been typechecked, and decorated methods will be # checked when the decorator is. found_method_base_classes = self.check_method_override(defn) self.check_explicit_override_decorator(defn, found_method_base_classes) self.check_inplace_operator_method(defn) if defn.original_def: # Override previous definition. new_type = self.function_type(defn) self.check_func_def_override(defn, new_type) def check_func_item( self, defn: FuncItem, type_override: CallableType | None = None, name: str | None = None, allow_empty: bool = False, ) -> None: """Type check a function. If type_override is provided, use it as the function type. """ self.dynamic_funcs.append(defn.is_dynamic() and not type_override) enclosing_node_deferred = self.current_node_deferred with self.enter_partial_types(is_function=True): typ = self.function_type(defn) if type_override: typ = type_override.copy_modified(line=typ.line, column=typ.column) if isinstance(typ, CallableType): with self.enter_attribute_inference_context(): self.check_func_def(defn, typ, name, allow_empty) else: raise RuntimeError("Not supported") self.dynamic_funcs.pop() self.current_node_deferred = enclosing_node_deferred if name == "__exit__": self.check__exit__return_type(defn) # TODO: the following logic should move to the dataclasses plugin # https://github.com/python/mypy/issues/15515 if name == "__post_init__": if dataclasses_plugin.is_processed_dataclass(defn.info): dataclasses_plugin.check_post_init(self, defn, defn.info) def check_func_def_override(self, defn: FuncDef, new_type: FunctionLike) -> None: assert defn.original_def is not None if isinstance(defn.original_def, FuncDef): # Function definition overrides function definition. old_type = self.function_type(defn.original_def) if not is_same_type(new_type, old_type): self.msg.incompatible_conditional_function_def(defn, old_type, new_type) else: # Function definition overrides a variable initialized via assignment or a # decorated function. orig_type = defn.original_def.type if orig_type is None: # If other branch is unreachable, we don't type check it and so we might # not have a type for the original definition return if isinstance(orig_type, PartialType): if orig_type.type is None: # Ah this is a partial type. Give it the type of the function. orig_def = defn.original_def if isinstance(orig_def, Decorator): var = orig_def.var else: var = orig_def partial_types = self.find_partial_types(var) if partial_types is not None: var.type = new_type del partial_types[var] else: # Trying to redefine something like partial empty list as function. self.fail(message_registry.INCOMPATIBLE_REDEFINITION, defn) else: name_expr = NameExpr(defn.name) name_expr.node = defn.original_def self.binder.assign_type(name_expr, new_type, orig_type) self.check_subtype( new_type, orig_type, defn, message_registry.INCOMPATIBLE_REDEFINITION, "redefinition with type", "original type", ) @contextmanager def enter_attribute_inference_context(self) -> Iterator[None]: old_types = self.inferred_attribute_types self.inferred_attribute_types = {} yield None self.inferred_attribute_types = old_types def check_func_def( self, defn: FuncItem, typ: CallableType, name: str | None, allow_empty: bool = False ) -> None: """Type check a function definition.""" # Expand type variables with value restrictions to ordinary types. self.check_typevar_defaults(typ.variables) expanded = self.expand_typevars(defn, typ) original_typ = typ for item, typ in expanded: old_binder = self.binder self.binder = ConditionalTypeBinder(self.options) with self.binder.top_frame_context(): defn.expanded.append(item) # We may be checking a function definition or an anonymous # function. In the first case, set up another reference with the # precise type. if isinstance(item, FuncDef): fdef = item # Check if __init__ has an invalid return type. if ( fdef.info and fdef.name in ("__init__", "__init_subclass__") and not isinstance( get_proper_type(typ.ret_type), (NoneType, UninhabitedType) ) and not self.dynamic_funcs[-1] ): self.fail( message_registry.MUST_HAVE_NONE_RETURN_TYPE.format(fdef.name), item ) # Check validity of __new__ signature if fdef.info and fdef.name == "__new__": self.check___new___signature(fdef, typ) self.check_for_missing_annotations(fdef) if self.options.disallow_any_unimported: if fdef.type and isinstance(fdef.type, CallableType): ret_type = fdef.type.ret_type if has_any_from_unimported_type(ret_type): self.msg.unimported_type_becomes_any("Return type", ret_type, fdef) for idx, arg_type in enumerate(fdef.type.arg_types): if has_any_from_unimported_type(arg_type): prefix = f'Argument {idx + 1} to "{fdef.name}"' self.msg.unimported_type_becomes_any(prefix, arg_type, fdef) check_for_explicit_any( fdef.type, self.options, self.is_typeshed_stub, self.msg, context=fdef ) if name: # Special method names if ( defn.info and self.is_reverse_op_method(name) and defn not in self.overload_impl_stack ): self.check_reverse_op_method(item, typ, name, defn) elif name in ("__getattr__", "__getattribute__"): self.check_getattr_method(typ, defn, name) elif name == "__setattr__": self.check_setattr_method(typ, defn) # Refuse contravariant return type variable if isinstance(typ.ret_type, TypeVarType): if typ.ret_type.variance == CONTRAVARIANT: self.fail( message_registry.RETURN_TYPE_CANNOT_BE_CONTRAVARIANT, typ.ret_type ) self.check_unbound_return_typevar(typ) elif ( isinstance(original_typ.ret_type, TypeVarType) and original_typ.ret_type.values ): # Since type vars with values are expanded, the return type is changed # to a raw value. This is a hack to get it back. self.check_unbound_return_typevar(original_typ) # Check that Generator functions have the appropriate return type. if defn.is_generator: if defn.is_async_generator: if not self.is_async_generator_return_type(typ.ret_type): self.fail( message_registry.INVALID_RETURN_TYPE_FOR_ASYNC_GENERATOR, typ ) else: if not self.is_generator_return_type(typ.ret_type, defn.is_coroutine): self.fail(message_registry.INVALID_RETURN_TYPE_FOR_GENERATOR, typ) # Fix the type if decorated with `@types.coroutine` or `@asyncio.coroutine`. if defn.is_awaitable_coroutine: # Update the return type to AwaitableGenerator. # (This doesn't exist in typing.py, only in typing.pyi.) t = typ.ret_type c = defn.is_coroutine ty = self.get_generator_yield_type(t, c) tc = self.get_generator_receive_type(t, c) if c: tr = self.get_coroutine_return_type(t) else: tr = self.get_generator_return_type(t, c) ret_type = self.named_generic_type( "typing.AwaitableGenerator", [ty, tc, tr, t] ) typ = typ.copy_modified(ret_type=ret_type) defn.type = typ # Push return type. self.return_types.append(typ.ret_type) with self.scope.push_function(defn): # We temporary push the definition to get the self type as # visible from *inside* of this function/method. ref_type: Type | None = self.scope.active_self_type() if typ.type_is: arg_index = 0 # For methods and classmethods, we want the second parameter if ref_type is not None and defn.has_self_or_cls_argument: arg_index = 1 if arg_index < len(typ.arg_types) and not is_subtype( typ.type_is, typ.arg_types[arg_index] ): self.fail( message_registry.NARROWED_TYPE_NOT_SUBTYPE.format( format_type(typ.type_is, self.options), format_type(typ.arg_types[arg_index], self.options), ), item, ) # Store argument types. found_self = False if isinstance(defn, FuncDef) and not defn.is_decorated: found_self = self.require_correct_self_argument(typ, defn) for i in range(len(typ.arg_types)): arg_type = typ.arg_types[i] if isinstance(arg_type, TypeVarType): # Refuse covariant parameter type variables # TODO: check recursively for inner type variables if ( arg_type.variance == COVARIANT and defn.name not in ("__init__", "__new__", "__post_init__") and not is_private(defn.name) # private methods are not inherited and (i != 0 or not found_self) ): ctx: Context = arg_type if ctx.line < 0: ctx = typ self.fail(message_registry.FUNCTION_PARAMETER_CANNOT_BE_COVARIANT, ctx) # Need to store arguments again for the expanded item. store_argument_type(item, i, typ, self.named_generic_type) # Type check initialization expressions. body_is_trivial = is_trivial_body(defn.body) self.check_default_args(item, body_is_trivial) # Type check body in a new scope. with self.binder.top_frame_context(): # Copy some type narrowings from an outer function when it seems safe enough # (i.e. we can't find an assignment that might change the type of the # variable afterwards). new_frame: Frame | None = None for frame in old_binder.frames: for key, narrowed_type in frame.types.items(): key_var = extract_var_from_literal_hash(key) if key_var is not None and not self.is_var_redefined_in_outer_context( key_var, defn.line ): # It seems safe to propagate the type narrowing to a nested scope. if new_frame is None: new_frame = self.binder.push_frame() new_frame.types[key] = narrowed_type self.binder.declarations[key] = old_binder.declarations[key] if self.options.allow_redefinition_new and not self.is_stub: # Add formal argument types to the binder. for arg in defn.arguments: # TODO: Add these directly using a fast path (possibly "put") v = arg.variable if v.type is not None: n = NameExpr(v.name) n.node = v self.binder.assign_type(n, v.type, v.type) with self.scope.push_function(defn): # We suppress reachability warnings for empty generator functions # (return; yield) which have a "yield" that's unreachable by definition # since it's only there to promote the function into a generator function. # # We also suppress reachability warnings when we use TypeVars with value # restrictions: we only want to report a warning if a certain statement is # marked as being suppressed in *all* of the expansions, but we currently # have no good way of doing this. # # TODO: Find a way of working around this limitation if _is_empty_generator_function(item) or len(expanded) >= 2: self.binder.suppress_unreachable_warnings() # When checking a third-party library, we can skip function body, # if during semantic analysis we found that there are no attributes # defined via self here. if ( not ( self.options.ignore_errors or self.msg.errors.file in self.msg.errors.ignored_files ) or self.options.preserve_asts or not isinstance(defn, FuncDef) or defn.has_self_attr_def ): self.accept(item.body) unreachable = self.binder.is_unreachable() if new_frame is not None: self.binder.pop_frame(True, 0) if not unreachable: if defn.is_generator or is_named_instance( self.return_types[-1], "typing.AwaitableGenerator" ): return_type = self.get_generator_return_type( self.return_types[-1], defn.is_coroutine ) elif defn.is_coroutine: return_type = self.get_coroutine_return_type(self.return_types[-1]) else: return_type = self.return_types[-1] return_type = get_proper_type(return_type) allow_empty = allow_empty or self.options.allow_empty_bodies show_error = ( not body_is_trivial or # Allow empty bodies for abstract methods, overloads, in tests and stubs. ( not allow_empty and not ( isinstance(defn, FuncDef) and defn.abstract_status != NOT_ABSTRACT ) and not self.is_stub ) ) # Ignore plugin generated methods, these usually don't need any bodies. if defn.info is not FUNC_NO_INFO and ( defn.name not in defn.info.names or defn.info.names[defn.name].plugin_generated ): show_error = False # Ignore also definitions that appear in `if TYPE_CHECKING: ...` blocks. # These can't be called at runtime anyway (similar to plugin-generated). if isinstance(defn, FuncDef) and defn.is_mypy_only: show_error = False # We want to minimize the fallout from checking empty bodies # that was absent in many mypy versions. if body_is_trivial and is_subtype(NoneType(), return_type): show_error = False may_be_abstract = ( body_is_trivial and defn.info is not FUNC_NO_INFO and defn.info.metaclass_type is not None and defn.info.metaclass_type.type.has_base("abc.ABCMeta") ) if self.options.warn_no_return: if ( not self.current_node_deferred and not isinstance(return_type, (NoneType, AnyType)) and show_error ): # Control flow fell off the end of a function that was # declared to return a non-None type. if isinstance(return_type, UninhabitedType): # This is a NoReturn function msg = message_registry.INVALID_IMPLICIT_RETURN else: msg = message_registry.MISSING_RETURN_STATEMENT if body_is_trivial: msg = msg._replace(code=codes.EMPTY_BODY) self.fail(msg, defn) if may_be_abstract: self.note(message_registry.EMPTY_BODY_ABSTRACT, defn) elif show_error: msg = message_registry.INCOMPATIBLE_RETURN_VALUE_TYPE if body_is_trivial: msg = msg._replace(code=codes.EMPTY_BODY) # similar to code in check_return_stmt if ( not self.check_subtype( subtype_label="implicitly returns", subtype=NoneType(), supertype_label="expected", supertype=return_type, context=defn, msg=msg, ) and may_be_abstract ): self.note(message_registry.EMPTY_BODY_ABSTRACT, defn) self.return_types.pop() self.binder = old_binder def require_correct_self_argument(self, func: Type, defn: FuncDef) -> bool: func = get_proper_type(func) if not isinstance(func, CallableType): return False # Do not report errors for untyped methods in classes nested in untyped funcs. if not ( self.options.check_untyped_defs or len(self.dynamic_funcs) < 2 or not self.dynamic_funcs[-2] or not defn.is_dynamic() ): return bool(func.arg_types) with self.scope.push_function(defn): # We temporary push the definition to get the self type as # visible from *inside* of this function/method. ref_type: Type | None = self.scope.active_self_type() if ref_type is None: return False if not defn.has_self_or_cls_argument or ( func.arg_kinds and func.arg_kinds[0] in [nodes.ARG_STAR, nodes.ARG_STAR2] ): return False if not func.arg_types: self.fail( 'Method must have at least one argument. Did you forget the "self" argument?', defn ) return False arg_type = func.arg_types[0] if defn.is_class or defn.name == "__new__": ref_type = mypy.types.TypeType.make_normalized(ref_type) if is_same_type(arg_type, ref_type): return True # This level of erasure matches the one in checkmember.check_self_arg(), # better keep these two checks consistent. erased = get_proper_type(erase_typevars(erase_to_bound(arg_type))) if not is_subtype(ref_type, erased, ignore_type_params=True): if ( isinstance(erased, Instance) and erased.type.is_protocol or isinstance(erased, TypeType) and isinstance(erased.item, Instance) and erased.item.type.is_protocol ): # We allow the explicit self-type to be not a supertype of # the current class if it is a protocol. For such cases # the consistency check will be performed at call sites. msg = None elif func.arg_names[0] in {"self", "cls"}: msg = message_registry.ERASED_SELF_TYPE_NOT_SUPERTYPE.format( erased.str_with_options(self.options), ref_type.str_with_options(self.options) ) else: msg = message_registry.MISSING_OR_INVALID_SELF_TYPE if msg: self.fail(msg, defn) return True def is_var_redefined_in_outer_context(self, v: Var, after_line: int) -> bool: """Can the variable be assigned to at module top level or outer function? Note that this doesn't do a full CFG analysis but uses a line number based heuristic that isn't correct in some (rare) cases. """ if v.is_final: # Final vars are definitely never reassigned. return False outers = self.tscope.outer_functions() if not outers: # Top-level function -- outer context is top level, and we can't reason about # globals return True for outer in outers: if isinstance(outer, FuncDef): if find_last_var_assignment_line(outer.body, v) >= after_line: return True return False def check_unbound_return_typevar(self, typ: CallableType) -> None: """Fails when the return typevar is not defined in arguments.""" if isinstance(typ.ret_type, TypeVarType) and typ.ret_type in typ.variables: arg_type_visitor = CollectArgTypeVarTypes() for argtype in typ.arg_types: argtype.accept(arg_type_visitor) if typ.ret_type not in arg_type_visitor.arg_types: self.fail(message_registry.UNBOUND_TYPEVAR, typ.ret_type, code=TYPE_VAR) upper_bound = get_proper_type(typ.ret_type.upper_bound) if not ( isinstance(upper_bound, Instance) and upper_bound.type.fullname == "builtins.object" ): self.note( "Consider using the upper bound " f"{format_type(typ.ret_type.upper_bound, self.options)} instead", context=typ.ret_type, ) def check_default_args(self, item: FuncItem, body_is_trivial: bool) -> None: for arg in item.arguments: if arg.initializer is None: continue if body_is_trivial and isinstance(arg.initializer, EllipsisExpr): continue name = arg.variable.name msg = "Incompatible default for " if name.startswith("__tuple_arg_"): msg += f"tuple argument {name[12:]}" else: msg += f'argument "{name}"' if ( not self.options.implicit_optional and isinstance(arg.initializer, NameExpr) and arg.initializer.fullname == "builtins.None" ): notes = [ "PEP 484 prohibits implicit Optional. " "Accordingly, mypy has changed its default to no_implicit_optional=True", "Use https://github.com/hauntsaninja/no_implicit_optional to automatically " "upgrade your codebase", ] else: notes = None self.check_simple_assignment( arg.variable.type, arg.initializer, context=arg.initializer, msg=ErrorMessage(msg, code=codes.ASSIGNMENT), lvalue_name="argument", rvalue_name="default", notes=notes, ) def is_forward_op_method(self, method_name: str) -> bool: return method_name in operators.reverse_op_methods def is_reverse_op_method(self, method_name: str) -> bool: return method_name in operators.reverse_op_method_set def check_for_missing_annotations(self, fdef: FuncItem) -> None: # Check for functions with unspecified/not fully specified types. def is_unannotated_any(t: Type) -> bool: if not isinstance(t, ProperType): return False return isinstance(t, AnyType) and t.type_of_any == TypeOfAny.unannotated has_explicit_annotation = isinstance(fdef.type, CallableType) and any( not is_unannotated_any(t) for t in fdef.type.arg_types + [fdef.type.ret_type] ) show_untyped = not self.is_typeshed_stub or self.options.warn_incomplete_stub check_incomplete_defs = self.options.disallow_incomplete_defs and has_explicit_annotation if show_untyped and (self.options.disallow_untyped_defs or check_incomplete_defs): if fdef.type is None and self.options.disallow_untyped_defs: if not fdef.arguments or ( len(fdef.arguments) == 1 and (fdef.arg_names[0] == "self" or fdef.arg_names[0] == "cls") ): self.fail(message_registry.RETURN_TYPE_EXPECTED, fdef) if not has_return_statement(fdef) and not fdef.is_generator: self.note( 'Use "-> None" if function does not return a value', fdef, code=codes.NO_UNTYPED_DEF, ) else: self.fail(message_registry.FUNCTION_TYPE_EXPECTED, fdef) elif isinstance(fdef.type, CallableType): ret_type = get_proper_type(fdef.type.ret_type) if is_unannotated_any(ret_type): self.fail(message_registry.RETURN_TYPE_EXPECTED, fdef) elif fdef.is_generator: if is_unannotated_any( self.get_generator_return_type(ret_type, fdef.is_coroutine) ): self.fail(message_registry.RETURN_TYPE_EXPECTED, fdef) elif fdef.is_coroutine and isinstance(ret_type, Instance): if is_unannotated_any(self.get_coroutine_return_type(ret_type)): self.fail(message_registry.RETURN_TYPE_EXPECTED, fdef) if any(is_unannotated_any(t) for t in fdef.type.arg_types): self.fail(message_registry.ARGUMENT_TYPE_EXPECTED, fdef) def check___new___signature(self, fdef: FuncDef, typ: CallableType) -> None: self_type = fill_typevars_with_any(fdef.info) bound_type = bind_self(typ, self_type, is_classmethod=True) # Check that __new__ (after binding cls) returns an instance # type (or any). if fdef.info.is_metaclass(): # This is a metaclass, so it must return a new unrelated type. self.check_subtype( bound_type.ret_type, self.type_type(), fdef, message_registry.INVALID_NEW_TYPE, "returns", "but must return a subtype of", ) elif not isinstance( get_proper_type(bound_type.ret_type), (AnyType, Instance, TupleType, UninhabitedType, LiteralType), ): self.fail( message_registry.NON_INSTANCE_NEW_TYPE.format( format_type(bound_type.ret_type, self.options) ), fdef, ) else: # And that it returns a subtype of the class self.check_subtype( bound_type.ret_type, self_type, fdef, message_registry.INVALID_NEW_TYPE, "returns", "but must return a subtype of", ) def check_reverse_op_method( self, defn: FuncItem, reverse_type: CallableType, reverse_name: str, context: Context ) -> None: """Check a reverse operator method such as __radd__.""" # Decides whether it's worth calling check_overlapping_op_methods(). # This used to check for some very obscure scenario. It now # just decides whether it's worth calling # check_overlapping_op_methods(). assert defn.info # First check for a valid signature method_type = CallableType( [AnyType(TypeOfAny.special_form), AnyType(TypeOfAny.special_form)], [nodes.ARG_POS, nodes.ARG_POS], [None, None], AnyType(TypeOfAny.special_form), self.named_type("builtins.function"), ) if not is_subtype(reverse_type, method_type): self.msg.invalid_signature(reverse_type, context) return if reverse_name in ("__eq__", "__ne__"): # These are defined for all objects => can't cause trouble. return # With 'Any' or 'object' return type we are happy, since any possible # return value is valid. ret_type = get_proper_type(reverse_type.ret_type) if isinstance(ret_type, AnyType): return if isinstance(ret_type, Instance): if ret_type.type.fullname == "builtins.object": return if reverse_type.arg_kinds[0] == ARG_STAR: reverse_type = reverse_type.copy_modified( arg_types=[reverse_type.arg_types[0]] * 2, arg_kinds=[ARG_POS] * 2, arg_names=[reverse_type.arg_names[0], "_"], ) assert len(reverse_type.arg_types) >= 2 forward_name = operators.normal_from_reverse_op[reverse_name] forward_inst = get_proper_type(reverse_type.arg_types[1]) if isinstance(forward_inst, TypeVarType): forward_inst = get_proper_type(forward_inst.upper_bound) elif isinstance(forward_inst, TupleType): forward_inst = tuple_fallback(forward_inst) elif isinstance(forward_inst, (FunctionLike, TypedDictType, LiteralType)): forward_inst = forward_inst.fallback if isinstance(forward_inst, TypeType): item = forward_inst.item if isinstance(item, Instance): opt_meta = item.type.metaclass_type if opt_meta is not None: forward_inst = opt_meta def has_readable_member(typ: UnionType | Instance, name: str) -> bool: # TODO: Deal with attributes of TupleType etc. if isinstance(typ, Instance): return typ.type.has_readable_member(name) return all( (isinstance(x, UnionType) and has_readable_member(x, name)) or (isinstance(x, Instance) and x.type.has_readable_member(name)) for x in get_proper_types(typ.relevant_items()) ) if not ( isinstance(forward_inst, (Instance, UnionType)) and has_readable_member(forward_inst, forward_name) ): return forward_base = reverse_type.arg_types[1] forward_type = self.expr_checker.analyze_external_member_access( forward_name, forward_base, context=defn ) self.check_overlapping_op_methods( reverse_type, reverse_name, defn.info, forward_type, forward_name, forward_base, context=defn, ) def check_overlapping_op_methods( self, reverse_type: CallableType, reverse_name: str, reverse_class: TypeInfo, forward_type: Type, forward_name: str, forward_base: Type, context: Context, ) -> None: """Check for overlapping method and reverse method signatures. This function assumes that: - The reverse method has valid argument count and kinds. - If the reverse operator method accepts some argument of type X, the forward operator method also belong to class X. For example, if we have the reverse operator `A.__radd__(B)`, then the corresponding forward operator must have the type `B.__add__(...)`. """ # Note: Suppose we have two operator methods "A.__rOP__(B) -> R1" and # "B.__OP__(C) -> R2". We check if these two methods are unsafely overlapping # by using the following algorithm: # # 1. Rewrite "B.__OP__(C) -> R1" to "temp1(B, C) -> R1" # # 2. Rewrite "A.__rOP__(B) -> R2" to "temp2(B, A) -> R2" # # 3. Treat temp1 and temp2 as if they were both variants in the same # overloaded function. (This mirrors how the Python runtime calls # operator methods: we first try __OP__, then __rOP__.) # # If the first signature is unsafely overlapping with the second, # report an error. # # 4. However, if temp1 shadows temp2 (e.g. the __rOP__ method can never # be called), do NOT report an error. # # This behavior deviates from how we handle overloads -- many of the # modules in typeshed seem to define __OP__ methods that shadow the # corresponding __rOP__ method. # # Note: we do not attempt to handle unsafe overlaps related to multiple # inheritance. (This is consistent with how we handle overloads: we also # do not try checking unsafe overlaps due to multiple inheritance there.) for forward_item in flatten_nested_unions([forward_type]): forward_item = get_proper_type(forward_item) if isinstance(forward_item, CallableType): if self.is_unsafe_overlapping_op(forward_item, forward_base, reverse_type): self.msg.operator_method_signatures_overlap( reverse_class, reverse_name, forward_base, forward_name, context ) elif isinstance(forward_item, Overloaded): for item in forward_item.items: if self.is_unsafe_overlapping_op(item, forward_base, reverse_type): self.msg.operator_method_signatures_overlap( reverse_class, reverse_name, forward_base, forward_name, context ) elif not isinstance(forward_item, AnyType): self.msg.forward_operator_not_callable(forward_name, context) def is_unsafe_overlapping_op( self, forward_item: CallableType, forward_base: Type, reverse_type: CallableType ) -> bool: # TODO: check argument kinds? if len(forward_item.arg_types) < 1: # Not a valid operator method -- can't succeed anyway. return False # Erase the type if necessary to make sure we don't have a single # TypeVar in forward_tweaked. (Having a function signature containing # just a single TypeVar can lead to unpredictable behavior.) forward_base_erased = forward_base if isinstance(forward_base, TypeVarType): forward_base_erased = erase_to_bound(forward_base) # Construct normalized function signatures corresponding to the # operator methods. The first argument is the left operand and the # second operand is the right argument -- we switch the order of # the arguments of the reverse method. # TODO: this manipulation is dangerous if callables are generic. # Shuffling arguments between callables can create meaningless types. forward_tweaked = forward_item.copy_modified( arg_types=[forward_base_erased, forward_item.arg_types[0]], arg_kinds=[nodes.ARG_POS] * 2, arg_names=[None] * 2, ) reverse_tweaked = reverse_type.copy_modified( arg_types=[reverse_type.arg_types[1], reverse_type.arg_types[0]], arg_kinds=[nodes.ARG_POS] * 2, arg_names=[None] * 2, ) reverse_base_erased = reverse_type.arg_types[0] if isinstance(reverse_base_erased, TypeVarType): reverse_base_erased = erase_to_bound(reverse_base_erased) if is_same_type(reverse_base_erased, forward_base_erased): return False elif is_subtype(reverse_base_erased, forward_base_erased): first = reverse_tweaked second = forward_tweaked else: first = forward_tweaked second = reverse_tweaked current_class = self.scope.active_class() type_vars = current_class.defn.type_vars if current_class else [] return is_unsafe_overlapping_overload_signatures( first, second, type_vars, partial_only=False ) def check_inplace_operator_method(self, defn: FuncBase) -> None: """Check an inplace operator method such as __iadd__. They cannot arbitrarily overlap with __add__. """ method = defn.name if method not in operators.inplace_operator_methods: return typ = bind_self(self.function_type(defn)) cls = defn.info other_method = "__" + method[3:] if cls.has_readable_member(other_method): instance = fill_typevars(cls) typ2 = get_proper_type( self.expr_checker.analyze_external_member_access(other_method, instance, defn) ) fail = False if isinstance(typ2, FunctionLike): if not is_more_general_arg_prefix(typ, typ2): fail = True else: # TODO overloads fail = True if fail: self.msg.signatures_incompatible(method, other_method, defn) def check_getattr_method(self, typ: Type, context: Context, name: str) -> None: if len(self.scope.stack) == 1: # module scope if name == "__getattribute__": self.fail(message_registry.MODULE_LEVEL_GETATTRIBUTE, context) return # __getattr__ is fine at the module level as of Python 3.7 (PEP 562). We could # show an error for Python < 3.7, but that would be annoying in code that supports # both 3.7 and older versions. method_type = CallableType( [self.named_type("builtins.str")], [nodes.ARG_POS], [None], AnyType(TypeOfAny.special_form), self.named_type("builtins.function"), ) elif self.scope.active_class(): method_type = CallableType( [AnyType(TypeOfAny.special_form), self.named_type("builtins.str")], [nodes.ARG_POS, nodes.ARG_POS], [None, None], AnyType(TypeOfAny.special_form), self.named_type("builtins.function"), ) else: return if not is_subtype(typ, method_type): self.msg.invalid_signature_for_special_method(typ, context, name) def check_setattr_method(self, typ: Type, context: Context) -> None: if not self.scope.active_class(): return method_type = CallableType( [ AnyType(TypeOfAny.special_form), self.named_type("builtins.str"), AnyType(TypeOfAny.special_form), ], [nodes.ARG_POS, nodes.ARG_POS, nodes.ARG_POS], [None, None, None], NoneType(), self.named_type("builtins.function"), ) if not is_subtype(typ, method_type): self.msg.invalid_signature_for_special_method(typ, context, "__setattr__") def check_slots_definition(self, typ: Type, context: Context) -> None: """Check the type of __slots__.""" str_type = self.named_type("builtins.str") expected_type = UnionType( [str_type, self.named_generic_type("typing.Iterable", [str_type])] ) self.check_subtype( typ, expected_type, context, message_registry.INVALID_TYPE_FOR_SLOTS, "actual type", "expected type", code=codes.ASSIGNMENT, ) def check_match_args(self, var: Var, typ: Type, context: Context) -> None: """Check that __match_args__ contains literal strings""" if not self.scope.active_class(): return typ = get_proper_type(typ) if not isinstance(typ, TupleType) or not all( is_string_literal(item) for item in typ.items ): self.msg.note( "__match_args__ must be a tuple containing string literals for checking " "of match statements to work", context, code=codes.LITERAL_REQ, ) def expand_typevars( self, defn: FuncItem, typ: CallableType ) -> list[tuple[FuncItem, CallableType]]: # TODO use generator subst: list[list[tuple[TypeVarId, Type]]] = [] tvars = list(typ.variables) or [] if defn.info: # Class type variables tvars += defn.info.defn.type_vars or [] for tvar in tvars: if isinstance(tvar, TypeVarType) and tvar.values: subst.append([(tvar.id, value) for value in tvar.values]) # Make a copy of the function to check for each combination of # value restricted type variables. (Except when running mypyc, # where we need one canonical version of the function.) if subst and not (self.options.mypyc or self.options.inspections): result: list[tuple[FuncItem, CallableType]] = [] for substitutions in itertools.product(*subst): mapping = dict(substitutions) result.append((expand_func(defn, mapping), expand_type(typ, mapping))) return result else: return [(defn, typ)] def check_explicit_override_decorator( self, defn: FuncDef | OverloadedFuncDef, found_method_base_classes: list[TypeInfo] | None, context: Context | None = None, ) -> None: plugin_generated = False if defn.info and (node := defn.info.get(defn.name)) and node.plugin_generated: # Do not report issues for plugin generated nodes, # they can't realistically use `@override` for their methods. plugin_generated = True if ( not plugin_generated and found_method_base_classes and not defn.is_explicit_override and defn.name not in ("__init__", "__new__") and not is_private(defn.name) ): self.msg.explicit_override_decorator_missing( defn.name, found_method_base_classes[0].fullname, context or defn ) def check_method_override( self, defn: FuncDef | OverloadedFuncDef | Decorator ) -> list[TypeInfo] | None: """Check if function definition is compatible with base classes. This may defer the method if a signature is not available in at least one base class. Return ``None`` if that happens. Return a list of base classes which contain an attribute with the method name. """ if self.options.ignore_errors or self.msg.errors.file in self.msg.errors.ignored_files: # Method override checks may be expensive, so skip them in third-party libraries. return None # Check against definitions in base classes. check_override_compatibility = ( defn.name not in ("__init__", "__new__", "__init_subclass__", "__post_init__") and (self.options.check_untyped_defs or not defn.is_dynamic()) and ( # don't check override for synthesized __replace__ methods from dataclasses defn.name != "__replace__" or defn.info.metadata.get("dataclass_tag") is None ) ) found_method_base_classes: list[TypeInfo] = [] for base in defn.info.mro[1:]: result = self.check_method_or_accessor_override_for_base( defn, base, check_override_compatibility ) if result is None: # Node was deferred, we will have another attempt later. return None if result: found_method_base_classes.append(base) return found_method_base_classes def check_method_or_accessor_override_for_base( self, defn: FuncDef | OverloadedFuncDef | Decorator, base: TypeInfo, check_override_compatibility: bool, ) -> bool | None: """Check if method definition is compatible with a base class. Return ``None`` if the node was deferred because one of the corresponding superclass nodes is not ready. Return ``True`` if an attribute with the method name was found in the base class. """ found_base_method = False if base: name = defn.name base_attr = base.names.get(name) if base_attr: # First, check if we override a final (always an error, even with Any types). if is_final_node(base_attr.node) and not is_private(name): self.msg.cant_override_final(name, base.name, defn) # Second, final can't override anything writeable independently of types. if defn.is_final: self.check_if_final_var_override_writable(name, base_attr.node, defn) found_base_method = True if check_override_compatibility: # Check compatibility of the override signature # (__init__, __new__, __init_subclass__ are special). if self.check_method_override_for_base_with_name(defn, name, base): return None if name in operators.inplace_operator_methods: # Figure out the name of the corresponding operator method. method = "__" + name[3:] # An inplace operator method such as __iadd__ might not be # always introduced safely if a base class defined __add__. # TODO can't come up with an example where this is # necessary; now it's "just in case" if self.check_method_override_for_base_with_name(defn, method, base): return None return found_base_method def check_setter_type_override(self, defn: OverloadedFuncDef, base: TypeInfo) -> None: """Check override of a setter type of a mutable attribute. Currently, this should be only called when either base node or the current node is a custom settable property (i.e. where setter type is different from getter type). Note that this check is contravariant. """ typ, _ = self.node_type_from_base(defn.name, defn.info, defn, setter_type=True) original_type, _ = self.node_type_from_base(defn.name, base, defn, setter_type=True) # The caller should handle deferrals. assert typ is not None and original_type is not None if not is_subtype(original_type, typ): self.msg.incompatible_setter_override(defn.setter, typ, original_type, base) def check_method_override_for_base_with_name( self, defn: FuncDef | OverloadedFuncDef | Decorator, name: str, base: TypeInfo ) -> bool: """Check if overriding an attribute `name` of `base` with `defn` is valid. Return True if the supertype node was not analysed yet, and `defn` was deferred. """ base_attr = base.names.get(name) if not base_attr: return False # The name of the method is defined in the base class. # Point errors at the 'def' line (important for backward compatibility # of type ignores). if not isinstance(defn, Decorator): context = defn else: context = defn.func # Construct the type of the overriding method. if isinstance(defn, (FuncDef, OverloadedFuncDef)): override_class_or_static = defn.is_class or defn.is_static else: override_class_or_static = defn.func.is_class or defn.func.is_static typ, _ = self.node_type_from_base(defn.name, defn.info, defn) if typ is None: # This may only happen if we're checking `x-redefinition` member # and `x` itself is for some reason gone. Normally the node should # be reachable from the containing class by its name. # The redefinition is never removed, use this as a sanity check to verify # the reasoning above. assert f"{defn.name}-redefinition" in defn.info.names return False original_node = base_attr.node # `original_type` can be partial if (e.g.) it is originally an # instance variable from an `__init__` block that becomes deferred. supertype_ready = True original_type, _ = self.node_type_from_base(name, base, defn) if original_type is None: supertype_ready = False if self.pass_num < self.last_pass: # If there are passes left, defer this node until next pass, # otherwise try reconstructing the method type from available information. # For consistency, defer an enclosing top-level function (if any). top_level = self.scope.top_level_function() if isinstance(top_level, FuncDef): self.defer_node(top_level, self.scope.enclosing_class(top_level)) else: # Specify enclosing class explicitly, as we check type override before # entering e.g. decorators or overloads. self.defer_node(defn, defn.info) return True elif isinstance(original_node, (FuncDef, OverloadedFuncDef)): original_type = self.function_type(original_node) elif isinstance(original_node, Decorator): original_type = self.function_type(original_node.func) elif isinstance(original_node, Var): # Super type can define method as an attribute. # See https://github.com/python/mypy/issues/10134 # We also check that sometimes `original_node.type` is None. # This is the case when we use something like `__hash__ = None`. if original_node.type is not None: original_type = get_proper_type(original_node.type) else: original_type = NoneType() else: # Will always fail to typecheck below, since we know the node is a method original_type = NoneType() always_allow_covariant = False if is_settable_property(defn) and ( is_settable_property(original_node) or isinstance(original_node, Var) ): if is_custom_settable_property(defn) or (is_custom_settable_property(original_node)): # Unlike with getter, where we try to construct some fallback type in case of # deferral during last_pass, we can't make meaningful setter checks if the # supertype is not known precisely. if supertype_ready: always_allow_covariant = True self.check_setter_type_override(defn, base) if isinstance(original_node, (FuncDef, OverloadedFuncDef)): original_class_or_static = original_node.is_class or original_node.is_static elif isinstance(original_node, Decorator): fdef = original_node.func original_class_or_static = fdef.is_class or fdef.is_static else: original_class_or_static = False # a variable can't be class or static typ = get_proper_type(typ) original_type = get_proper_type(original_type) if ( is_property(defn) and isinstance(original_node, Var) and not original_node.is_final and (not original_node.is_property or original_node.is_settable_property) and isinstance(defn, Decorator) ): # We only give an error where no other similar errors will be given. if not isinstance(original_type, AnyType): self.msg.fail( "Cannot override writeable attribute with read-only property", # Give an error on function line to match old behaviour. defn.func, code=codes.OVERRIDE, ) if isinstance(original_type, AnyType) or isinstance(typ, AnyType): pass elif isinstance(original_type, FunctionLike) and isinstance(typ, FunctionLike): # Check that the types are compatible. ok = self.check_override( typ, original_type, defn.name, name, base.name if base.module_name == self.tree.fullname else base.fullname, original_class_or_static, override_class_or_static, context, ) # Check if this override is covariant. if ( ok and original_node and codes.MUTABLE_OVERRIDE in self.options.enabled_error_codes and self.is_writable_attribute(original_node) and not always_allow_covariant and not is_subtype(original_type, typ, ignore_pos_arg_names=True) ): base_str, override_str = format_type_distinctly( original_type, typ, options=self.options ) msg = message_registry.COVARIANT_OVERRIDE_OF_MUTABLE_ATTRIBUTE.with_additional_msg( f' (base class "{base.name}" defined the type as {base_str},' f" override has type {override_str})" ) self.fail(msg, context) elif isinstance(original_type, UnionType) and any( is_subtype(typ, orig_typ, ignore_pos_arg_names=True) for orig_typ in original_type.items ): # This method is a subtype of at least one union variant. if ( original_node and codes.MUTABLE_OVERRIDE in self.options.enabled_error_codes and self.is_writable_attribute(original_node) and not always_allow_covariant ): # Covariant override of mutable attribute. base_str, override_str = format_type_distinctly( original_type, typ, options=self.options ) msg = message_registry.COVARIANT_OVERRIDE_OF_MUTABLE_ATTRIBUTE.with_additional_msg( f' (base class "{base.name}" defined the type as {base_str},' f" override has type {override_str})" ) self.fail(msg, context) elif is_equivalent(original_type, typ): # Assume invariance for a non-callable attribute here. Note # that this doesn't affect read-only properties which can have # covariant overrides. pass elif ( original_node and (not self.is_writable_attribute(original_node) or always_allow_covariant) and is_subtype(typ, original_type) ): # If the attribute is read-only, allow covariance pass else: self.msg.signature_incompatible_with_supertype( defn.name, name, base.name, context, original=original_type, override=typ ) return False def get_op_other_domain(self, tp: FunctionLike) -> Type | None: if isinstance(tp, CallableType): if tp.arg_kinds and tp.arg_kinds[0] == ARG_POS: # For generic methods, domain comparison is tricky, as a first # approximation erase all remaining type variables. return erase_typevars(tp.arg_types[0], {v.id for v in tp.variables}) return None elif isinstance(tp, Overloaded): raw_items = [self.get_op_other_domain(it) for it in tp.items] items = [it for it in raw_items if it] if items: return make_simplified_union(items) return None else: assert False, "Need to check all FunctionLike subtypes here" def check_override( self, override: FunctionLike, original: FunctionLike, name: str, name_in_super: str, supertype: str, original_class_or_static: bool, override_class_or_static: bool, node: Context, ) -> bool: """Check a method override with given signatures. Arguments: override: The signature of the overriding method. original: The signature of the original supertype method. name: The name of the overriding method. Used primarily for generating error messages. name_in_super: The name of the overridden in the superclass. Used for generating error messages only. supertype: The name of the supertype. original_class_or_static: Indicates whether the original method (from the superclass) is either a class method or a static method. override_class_or_static: Indicates whether the overriding method (from the subclass) is either a class method or a static method. node: Context node. """ # Use boolean variable to clarify code. fail = False op_method_wider_note = False if not is_subtype(override, original, ignore_pos_arg_names=True): fail = True elif isinstance(override, Overloaded) and self.is_forward_op_method(name): # Operator method overrides cannot extend the domain, as # this could be unsafe with reverse operator methods. original_domain = self.get_op_other_domain(original) override_domain = self.get_op_other_domain(override) if ( original_domain and override_domain and not is_subtype(override_domain, original_domain) ): fail = True op_method_wider_note = True if isinstance(override, FunctionLike): if original_class_or_static and not override_class_or_static: fail = True elif isinstance(original, CallableType) and isinstance(override, CallableType): if original.type_guard is not None and override.type_guard is None: fail = True if original.type_is is not None and override.type_is is None: fail = True if is_private(name): fail = False if fail: emitted_msg = False offset_arguments = isinstance(override, CallableType) and override.unpack_kwargs # Normalize signatures, so we get better diagnostics. if isinstance(override, (CallableType, Overloaded)): override = override.with_unpacked_kwargs() if isinstance(original, (CallableType, Overloaded)): original = original.with_unpacked_kwargs() if ( isinstance(override, CallableType) and isinstance(original, CallableType) and len(override.arg_types) == len(original.arg_types) and override.min_args == original.min_args ): # Give more detailed messages for the common case of both # signatures having the same number of arguments and no # overloads. # override might have its own generic function type # variables. If an argument or return type of override # does not have the correct subtyping relationship # with the original type even after these variables # are erased, then it is definitely an incompatibility. override_ids = override.type_var_ids() type_name = None definition = get_func_def(override) if isinstance(definition, FuncDef): type_name = definition.info.name def erase_override(t: Type) -> Type: return erase_typevars(t, ids_to_erase=override_ids) for i, (sub_kind, super_kind) in enumerate( zip(override.arg_kinds, original.arg_kinds) ): if sub_kind.is_positional() and super_kind.is_positional(): override_arg_type = override.arg_types[i] original_arg_type = original.arg_types[i] elif sub_kind.is_named() and super_kind.is_named() and not offset_arguments: arg_name = override.arg_names[i] if arg_name in original.arg_names: override_arg_type = override.arg_types[i] original_i = original.arg_names.index(arg_name) original_arg_type = original.arg_types[original_i] else: continue else: continue if not is_subtype(original_arg_type, erase_override(override_arg_type)): context: Context = node if ( isinstance(node, FuncDef) and not node.is_property and ( not node.is_decorated # fast path # allow trivial decorators like @classmethod and @override or not (sym := node.info.get(node.name)) or not isinstance(sym.node, Decorator) or not sym.node.decorators ) ): # If there's any decorator, we can no longer map arguments 1:1 reliably. arg_node = node.arguments[i + override.bound()] if arg_node.line != -1: context = arg_node self.msg.argument_incompatible_with_supertype( i + 1, name, type_name, name_in_super, original_arg_type, supertype, context, secondary_context=node, ) emitted_msg = True if not is_subtype(erase_override(override.ret_type), original.ret_type): self.msg.return_type_incompatible_with_supertype( name, name_in_super, supertype, original.ret_type, override.ret_type, node ) emitted_msg = True elif isinstance(override, Overloaded) and isinstance(original, Overloaded): # Give a more detailed message in the case where the user is trying to # override an overload, and the subclass's overload is plausible, except # that the order of the variants are wrong. # # For example, if the parent defines the overload f(int) -> int and f(str) -> str # (in that order), and if the child swaps the two and does f(str) -> str and # f(int) -> int order = [] for child_variant in override.items: for i, parent_variant in enumerate(original.items): if is_subtype(child_variant, parent_variant): order.append(i) break if len(order) == len(original.items) and order != sorted(order): self.msg.overload_signature_incompatible_with_supertype( name, name_in_super, supertype, node ) emitted_msg = True if not emitted_msg: # Fall back to generic incompatibility message. self.msg.signature_incompatible_with_supertype( name, name_in_super, supertype, node, original=original, override=override ) if op_method_wider_note: self.note( "Overloaded operator methods can't have wider argument types in overrides", node, code=codes.OVERRIDE, ) return not fail def check__exit__return_type(self, defn: FuncItem) -> None: """Generate error if the return type of __exit__ is problematic. If __exit__ always returns False but the return type is declared as bool, mypy thinks that a with statement may "swallow" exceptions even though this is not the case, resulting in invalid reachability inference. """ if not defn.type or not isinstance(defn.type, CallableType): return ret_type = get_proper_type(defn.type.ret_type) if not has_bool_item(ret_type): return returns = all_return_statements(defn) if not returns: return if all( isinstance(ret.expr, NameExpr) and ret.expr.fullname == "builtins.False" for ret in returns ): self.msg.incorrect__exit__return(defn) def visit_class_def(self, defn: ClassDef) -> None: """Type check a class definition.""" typ = defn.info for base in typ.mro[1:]: if base.is_final: self.fail(message_registry.CANNOT_INHERIT_FROM_FINAL.format(base.name), defn) if not can_have_shared_disjoint_base(typ.bases): self.fail(message_registry.INCOMPATIBLE_DISJOINT_BASES.format(typ.name), defn) with ( self.tscope.class_scope(defn.info), self.enter_partial_types(is_class=True), self.enter_class(defn.info), ): old_binder = self.binder self.binder = ConditionalTypeBinder(self.options) with self.binder.top_frame_context(): with self.scope.push_class(defn.info): self.accept(defn.defs) self.binder = old_binder if not (defn.info.typeddict_type or defn.info.tuple_type or defn.info.is_enum): # If it is not a normal class (not a special form) check class keywords. self.check_init_subclass(defn) if not defn.has_incompatible_baseclass: # Otherwise we've already found errors; more errors are not useful self.check_multiple_inheritance(typ) self.check_metaclass_compatibility(typ) self.check_final_deletable(typ) if defn.decorators: sig: Type = type_object_type(defn.info, self.named_type) # Decorators are applied in reverse order. for decorator in reversed(defn.decorators): if isinstance(decorator, CallExpr) and isinstance( decorator.analyzed, PromoteExpr ): # _promote is a special type checking related construct. continue dec = self.expr_checker.accept(decorator) temp = self.temp_node(sig, context=decorator) fullname = None if isinstance(decorator, RefExpr): fullname = decorator.fullname or None # TODO: Figure out how to have clearer error messages. # (e.g. "class decorator must be a function that accepts a type." old_allow_abstract_call = self.allow_abstract_call self.allow_abstract_call = True sig, _ = self.expr_checker.check_call( dec, [temp], [nodes.ARG_POS], defn, callable_name=fullname ) self.allow_abstract_call = old_allow_abstract_call # TODO: Apply the sig to the actual TypeInfo so we can handle decorators # that completely swap out the type. (e.g. Callable[[Type[A]], Type[B]]) if typ.defn.type_vars and typ.defn.type_args is None: for base_inst in typ.bases: for base_tvar, base_decl_tvar in zip( base_inst.args, base_inst.type.defn.type_vars ): if ( isinstance(base_tvar, TypeVarType) and base_tvar.variance != INVARIANT and isinstance(base_decl_tvar, TypeVarType) and base_decl_tvar.variance != base_tvar.variance ): self.fail( f'Variance of TypeVar "{base_tvar.name}" incompatible ' "with variance in parent type", context=defn, code=codes.TYPE_VAR, ) if typ.defn.type_vars: self.check_typevar_defaults(typ.defn.type_vars) if typ.is_protocol and typ.defn.type_vars: self.check_protocol_variance(defn) if not defn.has_incompatible_baseclass and defn.info.is_enum: self.check_enum(defn) infer_class_variances(defn.info) @contextmanager def enter_class(self, type: TypeInfo) -> Iterator[None]: original_type = self.type self.type = type try: yield finally: self.type = original_type def check_final_deletable(self, typ: TypeInfo) -> None: # These checks are only for mypyc. Only perform some checks that are easier # to implement here than in mypyc. for attr in typ.deletable_attributes: node = typ.names.get(attr) if node and isinstance(node.node, Var) and node.node.is_final: self.fail(message_registry.CANNOT_MAKE_DELETABLE_FINAL, node.node) def check_init_subclass(self, defn: ClassDef) -> None: """Check that keywords in a class definition are valid arguments for __init_subclass__(). In this example: 1 class Base: 2 def __init_subclass__(cls, thing: int): 3 pass 4 class Child(Base, thing=5): 5 def __init_subclass__(cls): 6 pass 7 Child() Base.__init_subclass__(thing=5) is called at line 4. This is what we simulate here. Child.__init_subclass__ is never called. """ if defn.info.metaclass_type and defn.info.metaclass_type.type.fullname not in ( "builtins.type", "abc.ABCMeta", ): # We can't safely check situations when both __init_subclass__ and a custom # metaclass are present. return # At runtime, only Base.__init_subclass__ will be called, so # we skip the current class itself. for base in defn.info.mro[1:]: if "__init_subclass__" not in base.names: continue name_expr = NameExpr(defn.name) name_expr.node = base callee = MemberExpr(name_expr, "__init_subclass__") args = list(defn.keywords.values()) arg_names: list[str | None] = list(defn.keywords.keys()) # 'metaclass' keyword is consumed by the rest of the type machinery, # and is never passed to __init_subclass__ implementations if "metaclass" in arg_names: idx = arg_names.index("metaclass") arg_names.pop(idx) args.pop(idx) arg_kinds = [ARG_NAMED] * len(args) call_expr = CallExpr(callee, args, arg_kinds, arg_names) call_expr.line = defn.line call_expr.column = defn.column call_expr.end_line = defn.end_line self.expr_checker.accept(call_expr, allow_none_return=True, always_allow_any=True) # We are only interested in the first Base having __init_subclass__, # all other bases have already been checked. break def check_typevar_defaults(self, tvars: Sequence[TypeVarLikeType]) -> None: for tv in tvars: if not (isinstance(tv, TypeVarType) and tv.has_default()): continue if not is_subtype(tv.default, tv.upper_bound): self.fail("TypeVar default must be a subtype of the bound type", tv) if tv.values and not any(is_same_type(tv.default, value) for value in tv.values): self.fail("TypeVar default must be one of the constraint types", tv) def check_enum(self, defn: ClassDef) -> None: assert defn.info.is_enum if defn.info.fullname not in ENUM_BASES and "__members__" in defn.info.names: sym = defn.info.names["__members__"] if isinstance(sym.node, Var) and sym.node.has_explicit_value: # `__members__` will always be overwritten by `Enum` and is considered # read-only so we disallow assigning a value to it self.fail(message_registry.ENUM_MEMBERS_ATTR_WILL_BE_OVERRIDDEN, sym.node) for base in defn.info.mro[1:-1]: # we don't need self and `object` if base.is_enum and base.fullname not in ENUM_BASES: self.check_final_enum(defn, base) if self.is_stub and self.tree.fullname not in {"enum", "_typeshed"}: if not defn.info.enum_members: self.fail( f'Detected enum "{defn.info.fullname}" in a type stub with zero members. ' "There is a chance this is due to a recent change in the semantics of " "enum membership. If so, use `member = value` to mark an enum member, " "instead of `member: type`", defn, ) self.note( "See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members", defn, ) self.check_enum_bases(defn) self.check_enum_new(defn) def check_final_enum(self, defn: ClassDef, base: TypeInfo) -> None: if base.enum_members: self.fail(f'Cannot extend enum with existing members: "{base.name}"', defn) def is_final_enum_value(self, sym: SymbolTableNode) -> bool: if isinstance(sym.node, (FuncBase, Decorator)): return False # A method is fine if not isinstance(sym.node, Var): return True # Can be a class or anything else # Now, only `Var` is left, we need to check: # 1. Private name like in `__prop = 1` # 2. Dunder name like `__hash__ = some_hasher` # 3. Sunder name like `_order_ = 'a, b, c'` # 4. If it is a method / descriptor like in `method = classmethod(func)` if ( is_private(sym.node.name) or is_dunder(sym.node.name) or is_sunder(sym.node.name) # TODO: make sure that `x = @class/staticmethod(func)` # and `x = property(prop)` both work correctly. # Now they are incorrectly counted as enum members. or isinstance(get_proper_type(sym.node.type), FunctionLike) ): return False return self.is_stub or sym.node.has_explicit_value def check_enum_bases(self, defn: ClassDef) -> None: """ Non-enum mixins cannot appear after enum bases; this is disallowed at runtime: class Foo: ... class Bar(enum.Enum, Foo): ... But any number of enum mixins can appear in a class definition (even if multiple enum bases define __new__). So this is fine: class Foo(enum.Enum): def __new__(cls, val): ... class Bar(enum.Enum): def __new__(cls, val): ... class Baz(int, Foo, Bar, enum.Flag): ... """ enum_base: Instance | None = None for base in defn.info.bases: if enum_base is None and base.type.is_enum: enum_base = base continue elif enum_base is not None and not base.type.is_enum: self.fail( f'No non-enum mixin classes are allowed after "{enum_base.str_with_options(self.options)}"', defn, ) break def check_enum_new(self, defn: ClassDef) -> None: def has_new_method(info: TypeInfo) -> bool: new_method = info.get("__new__") return bool( new_method and new_method.node and new_method.node.fullname != "builtins.object.__new__" ) has_new = False for base in defn.info.bases: candidate = False if base.type.is_enum: # If we have an `Enum`, then we need to check all its bases. candidate = any(not b.is_enum and has_new_method(b) for b in base.type.mro[1:-1]) else: candidate = has_new_method(base.type) if candidate and has_new: self.fail( "Only a single data type mixin is allowed for Enum subtypes, " 'found extra "{}"'.format(base.str_with_options(self.options)), defn, ) elif candidate: has_new = True def check_protocol_variance(self, defn: ClassDef) -> None: """Check that protocol definition is compatible with declared variances of type variables. Note that we also prohibit declaring protocol classes as invariant if they are actually covariant/contravariant, since this may break transitivity of subtyping, see PEP 544. """ if defn.type_args is not None: # Using new-style syntax (PEP 695), so variance will be inferred return info = defn.info object_type = Instance(info.mro[-1], []) tvars = info.defn.type_vars if self._variance_dummy_type is None: _, dummy_info = self.make_fake_typeinfo("", "Dummy", "Dummy", []) self._variance_dummy_type = Instance(dummy_info, []) dummy = self._variance_dummy_type for i, tvar in enumerate(tvars): if not isinstance(tvar, TypeVarType): # Variance of TypeVarTuple and ParamSpec is underspecified by PEPs. continue up_args: list[Type] = [ object_type if i == j else dummy.copy_modified() for j, _ in enumerate(tvars) ] down_args: list[Type] = [ UninhabitedType() if i == j else dummy.copy_modified() for j, _ in enumerate(tvars) ] up, down = Instance(info, up_args), Instance(info, down_args) # TODO: add advanced variance checks for recursive protocols if is_subtype(down, up, ignore_declared_variance=True): expected = COVARIANT elif is_subtype(up, down, ignore_declared_variance=True): expected = CONTRAVARIANT else: expected = INVARIANT if expected != tvar.variance: self.msg.bad_proto_variance(tvar.variance, tvar.name, expected, defn) def check_multiple_inheritance(self, typ: TypeInfo) -> None: """Check for multiple inheritance related errors.""" if len(typ.bases) <= 1: # No multiple inheritance. return # Verify that inherited attributes are compatible. mro = typ.mro[1:] all_names = {name for base in mro for name in base.names} for name in sorted(all_names - typ.names.keys()): # Sort for reproducible message order. # Attributes defined in both the type and base are skipped. # Normal checks for attribute compatibility should catch any problems elsewhere. if is_private(name): continue # Compare the first base defining a name with the rest. # Remaining bases may not be pairwise compatible as the first base provides # the used definition. i, base = next((i, base) for i, base in enumerate(mro) if name in base.names) for base2 in mro[i + 1 :]: if name in base2.names and base2 not in base.mro: self.check_compatibility(name, base, base2, typ) def check_compatibility( self, name: str, base1: TypeInfo, base2: TypeInfo, ctx: TypeInfo ) -> None: """Check if attribute name in base1 is compatible with base2 in multiple inheritance. Assume base1 comes before base2 in the MRO, and that base1 and base2 don't have a direct subclass relationship (i.e., the compatibility requirement only derives from multiple inheritance). This check verifies that a definition taken from base1 (and mapped to the current class ctx), is type compatible with the definition taken from base2 (also mapped), so that unsafe subclassing like this can be detected: class A(Generic[T]): def foo(self, x: T) -> None: ... class B: def foo(self, x: str) -> None: ... class C(B, A[int]): ... # this is unsafe because... x: A[int] = C() x.foo # ...runtime type is (str) -> None, while static type is (int) -> None """ if name in ("__init__", "__new__", "__init_subclass__"): # __init__ and friends can be incompatible -- it's a special case. return first = base1.names[name] second = base2.names[name] # Specify current_class explicitly as this function is called after leaving the class. first_type, _ = self.node_type_from_base(name, base1, ctx, current_class=ctx) second_type, _ = self.node_type_from_base(name, base2, ctx, current_class=ctx) # TODO: use more principled logic to decide is_subtype() vs is_equivalent(). # We should rely on mutability of superclass node, not on types being Callable. # (in particular handle settable properties with setter type different from getter). p_first_type = get_proper_type(first_type) p_second_type = get_proper_type(second_type) if isinstance(p_first_type, FunctionLike) and isinstance(p_second_type, FunctionLike): if p_first_type.is_type_obj() and p_second_type.is_type_obj(): # For class objects only check the subtype relationship of the classes, # since we allow incompatible overrides of '__init__'/'__new__' ok = is_subtype( left=fill_typevars_with_any(p_first_type.type_object()), right=fill_typevars_with_any(p_second_type.type_object()), ) else: assert first_type and second_type ok = is_subtype(first_type, second_type, ignore_pos_arg_names=True) elif first_type and second_type: if second.node is not None and not self.is_writable_attribute(second.node): ok = is_subtype(first_type, second_type) else: ok = is_equivalent(first_type, second_type) if ok: if ( first.node and second.node and self.is_writable_attribute(second.node) and is_property(first.node) and isinstance(first.node, Decorator) and not isinstance(p_second_type, AnyType) ): self.msg.fail( f'Cannot override writeable attribute "{name}" in base "{base2.name}"' f' with read-only property in base "{base1.name}"', ctx, code=codes.OVERRIDE, ) else: if first_type is None: self.msg.cannot_determine_type_in_base(name, base1.name, ctx) if second_type is None: self.msg.cannot_determine_type_in_base(name, base2.name, ctx) ok = True # Final attributes can never be overridden, but can override # non-final read-only attributes. if is_final_node(second.node) and not is_private(name): self.msg.cant_override_final(name, base2.name, ctx) if is_final_node(first.node): self.check_if_final_var_override_writable(name, second.node, ctx) # Some attributes like __slots__ and __deletable__ are special, and the type can # vary across class hierarchy. if isinstance(second.node, Var) and second.node.allow_incompatible_override: ok = True if not ok: self.msg.base_class_definitions_incompatible(name, base1, base2, ctx) def check_metaclass_compatibility(self, typ: TypeInfo) -> None: """Ensures that metaclasses of all parent types are compatible.""" if ( typ.is_metaclass() or typ.is_protocol or typ.is_named_tuple or typ.is_enum or typ.typeddict_type is not None ): return # Reasonable exceptions from this check if typ.metaclass_type is None and any( base.type.metaclass_type is not None for base in typ.bases ): self.fail( "Metaclass conflict: the metaclass of a derived class must be " "a (non-strict) subclass of the metaclasses of all its bases", typ, code=codes.METACLASS, ) explanation = typ.explain_metaclass_conflict() if explanation: self.note(explanation, typ, code=codes.METACLASS) def visit_import_from(self, node: ImportFrom) -> None: for name, _ in node.names: if (sym := self.globals.get(name)) is not None: self.warn_deprecated(sym.node, node) self.check_import(node) def visit_import_all(self, node: ImportAll) -> None: self.check_import(node) def visit_import(self, node: Import) -> None: self.check_import(node) def check_import(self, node: ImportBase) -> None: for assign in node.assignments: lvalue = assign.lvalues[0] lvalue_type, _, __ = self.check_lvalue(lvalue) if lvalue_type is None: # TODO: This is broken. lvalue_type = AnyType(TypeOfAny.special_form) assert isinstance(assign.rvalue, NameExpr) message = message_registry.INCOMPATIBLE_IMPORT_OF.format(assign.rvalue.name) self.check_simple_assignment( lvalue_type, assign.rvalue, node, msg=message, lvalue_name="local name", rvalue_name="imported name", ) # # Statements # def visit_block(self, b: Block) -> None: if b.is_unreachable: # This block was marked as being unreachable during semantic analysis. # It turns out any blocks marked in this way are *intentionally* marked # as unreachable -- so we don't display an error. self.binder.unreachable() return for s in b.body: if self.binder.is_unreachable(): if not self.should_report_unreachable_issues(): break if not self.is_noop_for_reachability(s): self.msg.unreachable_statement(s) break else: self.accept(s) # Clear expression cache after each statement to avoid unlimited growth. self.expr_checker.expr_cache.clear() def should_report_unreachable_issues(self) -> bool: return ( self.in_checked_function() and self.options.warn_unreachable and not self.current_node_deferred and not self.binder.is_unreachable_warning_suppressed() ) def is_noop_for_reachability(self, s: Statement) -> bool: """Returns 'true' if the given statement either throws an error of some kind or is a no-op. We use this function while handling the '--warn-unreachable' flag. When that flag is present, we normally report an error on any unreachable statement. But if that statement is just something like a 'pass' or a just-in-case 'assert False', reporting an error would be annoying. """ if isinstance(s, AssertStmt) and is_false_literal(s.expr): return True elif isinstance(s, ReturnStmt) and is_literal_not_implemented(s.expr): return True elif isinstance(s, (RaiseStmt, PassStmt)): return True elif isinstance(s, ExpressionStmt): if isinstance(s.expr, EllipsisExpr): return True elif isinstance(s.expr, CallExpr): with self.expr_checker.msg.filter_errors(filter_revealed_type=True): typ = get_proper_type( self.expr_checker.accept( s.expr, allow_none_return=True, always_allow_any=True ) ) if isinstance(typ, UninhabitedType): return True return False def visit_assignment_stmt(self, s: AssignmentStmt) -> None: """Type check an assignment statement. Handle all kinds of assignment statements (simple, indexed, multiple). """ # Avoid type checking type aliases in stubs to avoid false # positives about modern type syntax available in stubs such # as X | Y. if not (s.is_alias_def and self.is_stub): with self.enter_final_context(s.is_final_def): self.check_assignment(s.lvalues[-1], s.rvalue, s.type is None, s.new_syntax) if s.is_alias_def: self.check_type_alias_rvalue(s) if ( s.type is not None and self.options.disallow_any_unimported and has_any_from_unimported_type(s.type) ): if isinstance(s.lvalues[-1], TupleExpr): # This is a multiple assignment. Instead of figuring out which type is problematic, # give a generic error message. self.msg.unimported_type_becomes_any( "A type on this line", AnyType(TypeOfAny.special_form), s ) else: self.msg.unimported_type_becomes_any("Type of variable", s.type, s) check_for_explicit_any(s.type, self.options, self.is_typeshed_stub, self.msg, context=s) if len(s.lvalues) > 1: # Chained assignment (e.g. x = y = ...). # Make sure that rvalue type will not be reinferred. if not self.has_type(s.rvalue): self.expr_checker.accept(s.rvalue) rvalue = self.temp_node(self.lookup_type(s.rvalue), s) for lv in s.lvalues[:-1]: with self.enter_final_context(s.is_final_def): self.check_assignment(lv, rvalue, s.type is None) self.check_final(s) if ( s.is_final_def and s.type and not has_no_typevars(s.type) and self.scope.active_class() is not None ): self.fail(message_registry.DEPENDENT_FINAL_IN_CLASS_BODY, s) if s.unanalyzed_type and not self.in_checked_function(): self.msg.annotation_in_unchecked_function(context=s) def check_type_alias_rvalue(self, s: AssignmentStmt) -> None: with self.msg.filter_errors(): alias_type = self.expr_checker.accept(s.rvalue) self.store_type(s.lvalues[-1], alias_type) def check_assignment( self, lvalue: Lvalue, rvalue: Expression, infer_lvalue_type: bool = True, new_syntax: bool = False, ) -> None: """Type check a single assignment: lvalue = rvalue.""" if isinstance(lvalue, (TupleExpr, ListExpr)): self.check_assignment_to_multiple_lvalues( lvalue.items, rvalue, rvalue, infer_lvalue_type ) else: self.try_infer_partial_generic_type_from_assignment(lvalue, rvalue, "=") lvalue_type, index_lvalue, inferred = self.check_lvalue(lvalue, rvalue) # If we're assigning to __getattr__ or similar methods, check that the signature is # valid. if isinstance(lvalue, NameExpr) and lvalue.node: name = lvalue.node.name if name in ("__setattr__", "__getattribute__", "__getattr__"): # If an explicit type is given, use that. if lvalue_type: signature = lvalue_type else: signature = self.expr_checker.accept(rvalue) if signature: if name == "__setattr__": self.check_setattr_method(signature, lvalue) else: self.check_getattr_method(signature, lvalue, name) if name == "__slots__" and self.scope.active_class() is not None: typ = lvalue_type or self.expr_checker.accept(rvalue) self.check_slots_definition(typ, lvalue) if name == "__match_args__" and inferred is not None: typ = self.expr_checker.accept(rvalue) self.check_match_args(inferred, typ, lvalue) if name == "__post_init__": active_class = self.scope.active_class() if active_class and dataclasses_plugin.is_processed_dataclass(active_class): self.fail(message_registry.DATACLASS_POST_INIT_MUST_BE_A_FUNCTION, rvalue) if isinstance(lvalue, MemberExpr) and lvalue.name == "__match_args__": self.fail(message_registry.CANNOT_MODIFY_MATCH_ARGS, lvalue) if lvalue_type: if isinstance(lvalue_type, PartialType) and lvalue_type.type is None: # Try to infer a proper type for a variable with a partial None type. rvalue_type = self.expr_checker.accept(rvalue) if isinstance(get_proper_type(rvalue_type), NoneType): # This doesn't actually provide any additional information -- multiple # None initializers preserve the partial None type. return var = lvalue_type.var if is_valid_inferred_type( rvalue_type, self.options, is_lvalue_final=var.is_final ): partial_types = self.find_partial_types(var) if partial_types is not None: if not self.current_node_deferred: # Partial type can't be final, so strip any literal values. rvalue_type = remove_instance_last_known_values(rvalue_type) inferred_type = make_simplified_union([rvalue_type, NoneType()]) self.set_inferred_type(var, lvalue, inferred_type) else: var.type = None del partial_types[var] lvalue_type = var.type else: # Try to infer a partial type. if not self.infer_partial_type(var, lvalue, rvalue_type): # If that also failed, give up and let the caller know that we # cannot read their mind. The definition site will be reported later. # Calling .put() directly because the newly inferred type is # not a subtype of None - we are not looking for narrowing fallback = self.inference_error_fallback_type(rvalue_type) self.binder.put(lvalue, fallback) # Same as self.set_inference_error_fallback_type but inlined # to avoid computing fallback twice. # We are replacing partial now, so the variable type # should remain optional. self.set_inferred_type(var, lvalue, make_optional_type(fallback)) elif ( is_literal_none(rvalue) and isinstance(lvalue, NameExpr) and isinstance(lvalue.node, Var) and lvalue.node.is_initialized_in_class and not new_syntax ): # Allow None's to be assigned to class variables with non-Optional types. rvalue_type = lvalue_type elif ( isinstance(lvalue, MemberExpr) and lvalue.kind is None ): # Ignore member access to modules instance_type = self.expr_checker.accept(lvalue.expr) rvalue_type, lvalue_type, infer_lvalue_type = self.check_member_assignment( lvalue, instance_type, lvalue_type, rvalue, context=rvalue ) else: # Hacky special case for assigning a literal None # to a variable defined in a previous if # branch. When we detect this, we'll go back and # make the type optional. This is somewhat # unpleasant, and a generalization of this would # be an improvement! if ( not self.options.allow_redefinition_new and is_literal_none(rvalue) and isinstance(lvalue, NameExpr) and lvalue.kind == LDEF and isinstance(lvalue.node, Var) and lvalue.node.type and lvalue.node in self.var_decl_frames and not isinstance(get_proper_type(lvalue_type), AnyType) ): decl_frame_map = self.var_decl_frames[lvalue.node] # Check if the nearest common ancestor frame for the definition site # and the current site is the enclosing frame of an if/elif/else block. has_if_ancestor = False for frame in reversed(self.binder.frames): if frame.id in decl_frame_map: has_if_ancestor = frame.conditional_frame break if has_if_ancestor: lvalue_type = make_optional_type(lvalue_type) self.set_inferred_type(lvalue.node, lvalue, lvalue_type) rvalue_type, lvalue_type = self.check_simple_assignment( lvalue_type, rvalue, context=rvalue, inferred=inferred, lvalue=lvalue ) # The above call may update inferred variable type. Prevent further # inference. inferred = None # Special case: only non-abstract non-protocol classes can be assigned to # variables with explicit type Type[A], where A is protocol or abstract. p_rvalue_type = get_proper_type(rvalue_type) p_lvalue_type = get_proper_type(lvalue_type) if ( isinstance(p_rvalue_type, FunctionLike) and p_rvalue_type.is_type_obj() and ( p_rvalue_type.type_object().is_abstract or p_rvalue_type.type_object().is_protocol ) and isinstance(p_lvalue_type, TypeType) and isinstance(p_lvalue_type.item, Instance) and ( p_lvalue_type.item.type.is_abstract or p_lvalue_type.item.type.is_protocol ) ): self.msg.concrete_only_assign(p_lvalue_type, rvalue) return if rvalue_type and infer_lvalue_type and not isinstance(lvalue_type, PartialType): # Don't use type binder for definitions of special forms, like named tuples. if not (isinstance(lvalue, NameExpr) and lvalue.is_special_form): self.binder.assign_type(lvalue, rvalue_type, lvalue_type) if ( isinstance(lvalue, NameExpr) and isinstance(lvalue.node, Var) and lvalue.node.is_inferred and lvalue.node.is_index_var and lvalue_type is not None ): lvalue.node.type = remove_instance_last_known_values(lvalue_type) elif ( self.options.allow_redefinition_new and lvalue_type is not None and not isinstance(lvalue_type, PartialType) ): # TODO: Can we use put() here? self.binder.assign_type(lvalue, lvalue_type, lvalue_type) elif index_lvalue: self.check_indexed_assignment(index_lvalue, rvalue, lvalue) if inferred: type_context = self.get_variable_type_context(inferred, rvalue) rvalue_type = self.expr_checker.accept(rvalue, type_context=type_context) if not ( inferred.is_final or inferred.is_index_var or (isinstance(lvalue, NameExpr) and lvalue.name == "__match_args__") ): rvalue_type = remove_instance_last_known_values(rvalue_type) self.infer_variable_type(inferred, lvalue, rvalue_type, rvalue) self.check_assignment_to_slots(lvalue) if isinstance(lvalue, RefExpr) and not ( isinstance(lvalue, NameExpr) and lvalue.name == "__match_args__" ): # We check override here at the end after storing the inferred type, since # override check will try to access the current attribute via symbol tables # (like a regular attribute access). self.check_compatibility_all_supers(lvalue, rvalue) # (type, operator) tuples for augmented assignments supported with partial types partial_type_augmented_ops: Final = {("builtins.list", "+"), ("builtins.set", "|")} def get_variable_type_context(self, inferred: Var, rvalue: Expression) -> Type | None: type_contexts = [] if inferred.info: for base in inferred.info.mro[1:]: if inferred.name not in base.names: continue # For inference within class body, get supertype attribute as it would look on # a class object for lambdas overriding methods, etc. base_node = base.names[inferred.name].node base_type, _ = self.node_type_from_base( inferred.name, base, inferred, is_class=is_method(base_node) or isinstance(base_node, Var) and not is_instance_var(base_node), ) if ( base_type and not (isinstance(base_node, Var) and base_node.invalid_partial_type) and not isinstance(base_type, PartialType) ): type_contexts.append(base_type) # Use most derived supertype as type context if available. if not type_contexts: if inferred.name == "__slots__" and self.scope.active_class() is not None: str_type = self.named_type("builtins.str") return self.named_generic_type("typing.Iterable", [str_type]) if inferred.name == "__all__" and self.scope.is_top_level(): str_type = self.named_type("builtins.str") return self.named_generic_type("typing.Sequence", [str_type]) return None candidate = type_contexts[0] for other in type_contexts: if is_proper_subtype(other, candidate): candidate = other elif not is_subtype(candidate, other): # Multiple incompatible candidates, cannot use any of them as context. return None return candidate def try_infer_partial_generic_type_from_assignment( self, lvalue: Lvalue, rvalue: Expression, op: str ) -> None: """Try to infer a precise type for partial generic type from assignment. 'op' is '=' for normal assignment and a binary operator ('+', ...) for augmented assignment. Example where this happens: x = [] if foo(): x = [1] # Infer List[int] as type of 'x' """ var = None if ( isinstance(lvalue, NameExpr) and isinstance(lvalue.node, Var) and isinstance(lvalue.node.type, PartialType) ): var = lvalue.node elif isinstance(lvalue, MemberExpr): var = self.expr_checker.get_partial_self_var(lvalue) if var is not None: typ = var.type assert isinstance(typ, PartialType) if typ.type is None: return # Return if this is an unsupported augmented assignment. if op != "=" and (typ.type.fullname, op) not in self.partial_type_augmented_ops: return # TODO: some logic here duplicates the None partial type counterpart # inlined in check_assignment(), see #8043. partial_types = self.find_partial_types(var) if partial_types is None: return rvalue_type = self.expr_checker.accept(rvalue) rvalue_type = get_proper_type(rvalue_type) if isinstance(rvalue_type, Instance): if rvalue_type.type == typ.type and is_valid_inferred_type( rvalue_type, self.options ): var.type = rvalue_type del partial_types[var] elif isinstance(rvalue_type, AnyType): var.type = fill_typevars_with_any(typ.type) del partial_types[var] def check_compatibility_all_supers(self, lvalue: RefExpr, rvalue: Expression) -> None: lvalue_node = lvalue.node # Check if we are a class variable with at least one base class if ( isinstance(lvalue_node, Var) # If we have explicit annotation, there is no point in checking the override # for each assignment, so we check only for the first one. # TODO: for some reason annotated attributes on self are stored as inferred vars. and ( lvalue_node.line == lvalue.line or lvalue_node.is_inferred and not lvalue_node.explicit_self_type ) and lvalue.kind in (MDEF, None) # None for Vars defined via self and len(lvalue_node.info.bases) > 0 ): for base in lvalue_node.info.mro[1:]: tnode = base.names.get(lvalue_node.name) if tnode is not None: if not self.check_compatibility_classvar_super(lvalue_node, base, tnode.node): # Show only one error per variable break if not self.check_compatibility_final_super(lvalue_node, base, tnode.node): # Show only one error per variable break direct_bases = lvalue_node.info.direct_base_classes() last_immediate_base = direct_bases[-1] if direct_bases else None # The historical behavior for inferred vars was to compare rvalue type against # the type declared in a superclass. To preserve this behavior, we temporarily # store the rvalue type on the variable. actual_lvalue_type = None if lvalue_node.is_inferred and not lvalue_node.explicit_self_type: # Don't use partial types as context, similar to regular code path. ctx = lvalue_node.type if not isinstance(lvalue_node.type, PartialType) else None rvalue_type = self.expr_checker.accept(rvalue, ctx) actual_lvalue_type = lvalue_node.type lvalue_node.type = rvalue_type lvalue_type, _ = self.node_type_from_base(lvalue_node.name, lvalue_node.info, lvalue) if lvalue_node.is_inferred and not lvalue_node.explicit_self_type: lvalue_node.type = actual_lvalue_type if not lvalue_type: return for base in lvalue_node.info.mro[1:]: # The type of "__slots__" and some other attributes usually doesn't need to # be compatible with a base class. We'll still check the type of "__slots__" # against "object" as an exception. if lvalue_node.allow_incompatible_override and not ( lvalue_node.name == "__slots__" and base.fullname == "builtins.object" ): continue if is_private(lvalue_node.name): continue base_type, base_node = self.node_type_from_base(lvalue_node.name, base, lvalue) # TODO: if the r.h.s. is a descriptor, we should check setter override as well. custom_setter = is_custom_settable_property(base_node) if isinstance(base_type, PartialType): base_type = None if base_type: assert base_node is not None if not self.check_compatibility_super( lvalue_type, rvalue, base, base_type, base_node, always_allow_covariant=custom_setter, ): # Only show one error per variable; even if other # base classes are also incompatible return if lvalue_type and custom_setter: base_type, _ = self.node_type_from_base( lvalue_node.name, base, lvalue, setter_type=True ) # Setter type for a custom property must be ready if # the getter type is ready. assert base_type is not None if not is_subtype(base_type, lvalue_type): self.msg.incompatible_setter_override( lvalue, lvalue_type, base_type, base ) return if base is last_immediate_base: # At this point, the attribute was found to be compatible with all # immediate parents. break def check_compatibility_super( self, compare_type: Type, rvalue: Expression, base: TypeInfo, base_type: Type, base_node: Node, always_allow_covariant: bool, ) -> bool: # TODO: check __set__() type override for custom descriptors. # TODO: for descriptors check also class object access override. ok = self.check_subtype( compare_type, base_type, rvalue, message_registry.INCOMPATIBLE_TYPES_IN_ASSIGNMENT, "expression has type", f'base class "{base.name}" defined the type as', ) if ( ok and codes.MUTABLE_OVERRIDE in self.options.enabled_error_codes and self.is_writable_attribute(base_node) and not always_allow_covariant ): ok = self.check_subtype( base_type, compare_type, rvalue, message_registry.COVARIANT_OVERRIDE_OF_MUTABLE_ATTRIBUTE, f'base class "{base.name}" defined the type as', "expression has type", ) return ok def node_type_from_base( self, name: str, base: TypeInfo, context: Context, *, setter_type: bool = False, is_class: bool = False, current_class: TypeInfo | None = None, ) -> tuple[Type | None, SymbolNode | None]: """Find a type for a name in base class. Return the type found and the corresponding node defining the name or None for both if the name is not defined in base or the node type is not known (yet). The type returned is already properly mapped/bound to the subclass. If setter_type is True, return setter types for settable properties (otherwise the getter type is returned). """ base_node = base.names.get(name) # TODO: defer current node if the superclass node is not ready. if ( not base_node or isinstance(base_node.node, (Var, Decorator)) and not base_node.type or isinstance(base_node.type, PartialType) and base_node.type.type is not None ): return None, None if current_class is None: self_type = self.scope.current_self_type() else: self_type = fill_typevars(current_class) assert self_type is not None, "Internal error: base lookup outside class" if isinstance(self_type, TupleType): instance = tuple_fallback(self_type) else: instance = self_type mx = MemberContext( is_lvalue=setter_type, is_super=False, is_operator=mypy.checkexpr.is_operator_method(name), original_type=self_type, context=context, chk=self, suppress_errors=True, ) # TODO: we should not filter "cannot determine type" errors here. with self.msg.filter_errors(filter_deprecated=True): if is_class: fallback = instance.type.metaclass_type or mx.named_type("builtins.type") base_type = analyze_class_attribute_access( instance, name, mx, mcs_fallback=fallback, override_info=base ) else: base_type = analyze_instance_member_access(name, instance, mx, base) return base_type, base_node.node def check_compatibility_classvar_super( self, node: Var, base: TypeInfo, base_node: Node | None ) -> bool: if not isinstance(base_node, Var): return True if node.is_classvar and not base_node.is_classvar: self.fail(message_registry.CANNOT_OVERRIDE_INSTANCE_VAR.format(base.name), node) return False elif not node.is_classvar and base_node.is_classvar: self.fail(message_registry.CANNOT_OVERRIDE_CLASS_VAR.format(base.name), node) return False return True def check_compatibility_final_super( self, node: Var, base: TypeInfo, base_node: Node | None ) -> bool: """Check if an assignment overrides a final attribute in a base class. This only checks situations where either a node in base class is not a variable but a final method, or where override is explicitly declared as final. In these cases we give a more detailed error message. In addition, we check that a final variable doesn't override writeable attribute, which is not safe. Other situations are checked in `check_final()`. """ if not isinstance(base_node, (Var, FuncBase, Decorator)): return True if is_private(node.name): return True if base_node.is_final and (node.is_final or not isinstance(base_node, Var)): # Give this error only for explicit override attempt with `Final`, or # if we are overriding a final method with variable. # Other override attempts will be flagged as assignment to constant # in `check_final()`. self.msg.cant_override_final(node.name, base.name, node) return False if node.is_final: if base.fullname in ENUM_BASES or node.name in ENUM_SPECIAL_PROPS: return True self.check_if_final_var_override_writable(node.name, base_node, node) return True def check_if_final_var_override_writable( self, name: str, base_node: Node | None, ctx: Context ) -> None: """Check that a final variable doesn't override writeable attribute. This is done to prevent situations like this: class C: attr = 1 class D(C): attr: Final = 2 x: C = D() x.attr = 3 # Oops! """ writable = True if base_node: writable = self.is_writable_attribute(base_node) if writable: self.msg.final_cant_override_writable(name, ctx) def get_final_context(self) -> bool: """Check whether we a currently checking a final declaration.""" return self._is_final_def @contextmanager def enter_final_context(self, is_final_def: bool) -> Iterator[None]: """Store whether the current checked assignment is a final declaration.""" old_ctx = self._is_final_def self._is_final_def = is_final_def try: yield finally: self._is_final_def = old_ctx def check_final(self, s: AssignmentStmt | OperatorAssignmentStmt | AssignmentExpr) -> None: """Check if this assignment does not assign to a final attribute. This function performs the check only for name assignments at module and class scope. The assignments to `obj.attr` and `Cls.attr` are checked in checkmember.py. """ if isinstance(s, AssignmentStmt): lvs = self.flatten_lvalues(s.lvalues) elif isinstance(s, AssignmentExpr): lvs = [s.target] else: lvs = [s.lvalue] is_final_decl = s.is_final_def if isinstance(s, AssignmentStmt) else False if is_final_decl and (active_class := self.scope.active_class()): lv = lvs[0] assert isinstance(lv, RefExpr) if lv.node is not None: assert isinstance(lv.node, Var) if ( lv.node.final_unset_in_class and not lv.node.final_set_in_init and not self.is_stub # It is OK to skip initializer in stub files. and # Avoid extra error messages, if there is no type in Final[...], # then we already reported the error about missing r.h.s. isinstance(s, AssignmentStmt) and s.type is not None # Avoid extra error message for NamedTuples, # they were reported during semanal and not active_class.is_named_tuple ): self.msg.final_without_value(s) for lv in lvs: if isinstance(lv, RefExpr) and isinstance(lv.node, Var): name = lv.node.name cls = self.scope.active_class() if cls is not None: # These additional checks exist to give more error messages # even if the final attribute was overridden with a new symbol # (which is itself an error)... for base in cls.mro[1:]: sym = base.names.get(name) # We only give this error if base node is variable, # overriding final method will be caught in # `check_compatibility_final_super()`. if sym and isinstance(sym.node, Var): if sym.node.is_final and not is_final_decl: self.msg.cant_assign_to_final(name, sym.node.info is None, s) # ...but only once break if lv.node.is_final and not is_final_decl: self.msg.cant_assign_to_final(name, lv.node.info is None, s) def check_assignment_to_slots(self, lvalue: Lvalue) -> None: if not isinstance(lvalue, MemberExpr): return inst = get_proper_type(self.expr_checker.accept(lvalue.expr)) if isinstance(inst, TypeVarType) and inst.id.is_self(): # Unwrap self type inst = get_proper_type(inst.upper_bound) if not isinstance(inst, Instance): return if inst.type.slots is None: return # Slots do not exist, we can allow any assignment if lvalue.name in inst.type.slots: return # We are assigning to an existing slot for base_info in inst.type.mro[:-1]: if base_info.names.get("__setattr__") is not None: # When type has `__setattr__` defined, # we can assign any dynamic value. # We exclude object, because it always has `__setattr__`. return definition = inst.type.get(lvalue.name) if definition is None: # We don't want to duplicate # `"SomeType" has no attribute "some_attr"` # error twice. return if self.is_assignable_slot(lvalue, definition.type): return self.fail( message_registry.NAME_NOT_IN_SLOTS.format(lvalue.name, inst.type.fullname), lvalue ) def is_assignable_slot(self, lvalue: Lvalue, typ: Type | None) -> bool: if getattr(lvalue, "node", None): return False # This is a definition typ = get_proper_type(typ) if typ is None or isinstance(typ, AnyType): return True # Any can be literally anything, like `@property` if isinstance(typ, Instance): # When working with instances, we need to know if they contain # `__set__` special method. Like `@property` does. # This makes assigning to properties possible, # even without extra slot spec. return typ.type.get("__set__") is not None if isinstance(typ, FunctionLike): return True # Can be a property, or some other magic if isinstance(typ, UnionType): return all(self.is_assignable_slot(lvalue, u) for u in typ.items) return False def flatten_rvalues(self, rvalues: list[Expression]) -> list[Expression]: """Flatten expression list by expanding those * items that have tuple type. For each regular type item in the tuple type use a TempNode(), for an Unpack item use a corresponding StarExpr(TempNode()). """ new_rvalues = [] for rv in rvalues: if not isinstance(rv, StarExpr): new_rvalues.append(rv) continue typ = get_proper_type(self.expr_checker.accept(rv.expr)) if not isinstance(typ, TupleType): new_rvalues.append(rv) continue for t in typ.items: if not isinstance(t, UnpackType): new_rvalues.append(TempNode(t)) else: unpacked = get_proper_type(t.type) if isinstance(unpacked, TypeVarTupleType): fallback = unpacked.upper_bound else: assert ( isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" ) fallback = unpacked new_rvalues.append(StarExpr(TempNode(fallback))) return new_rvalues def check_assignment_to_multiple_lvalues( self, lvalues: list[Lvalue], rvalue: Expression, context: Context, infer_lvalue_type: bool = True, ) -> None: if isinstance(rvalue, (TupleExpr, ListExpr)): # Recursively go into Tuple or List expression rhs instead of # using the type of rhs, because this allows more fine-grained # control in cases like: a, b = [int, str] where rhs would get # type List[object] rvalues: list[Expression] = [] iterable_type: Type | None = None last_idx: int | None = None for idx_rval, rval in enumerate(self.flatten_rvalues(rvalue.items)): if isinstance(rval, StarExpr): typs = get_proper_type(self.expr_checker.accept(rval.expr)) if self.type_is_iterable(typs) and isinstance(typs, Instance): if iterable_type is not None and iterable_type != self.iterable_item_type( typs, rvalue ): self.fail(message_registry.CONTIGUOUS_ITERABLE_EXPECTED, context) else: if last_idx is None or last_idx + 1 == idx_rval: rvalues.append(rval) last_idx = idx_rval iterable_type = self.iterable_item_type(typs, rvalue) else: self.fail(message_registry.CONTIGUOUS_ITERABLE_EXPECTED, context) else: self.fail(message_registry.ITERABLE_TYPE_EXPECTED.format(typs), context) else: rvalues.append(rval) iterable_start: int | None = None iterable_end: int | None = None for i, rval in enumerate(rvalues): if isinstance(rval, StarExpr): typs = get_proper_type(self.expr_checker.accept(rval.expr)) if self.type_is_iterable(typs) and isinstance(typs, Instance): if iterable_start is None: iterable_start = i iterable_end = i if ( iterable_start is not None and iterable_end is not None and iterable_type is not None ): iterable_num = iterable_end - iterable_start + 1 rvalue_needed = len(lvalues) - (len(rvalues) - iterable_num) if rvalue_needed > 0: rvalues = ( rvalues[0:iterable_start] + [TempNode(iterable_type, context=rval) for _ in range(rvalue_needed)] + rvalues[iterable_end + 1 :] ) if self.check_rvalue_count_in_assignment(lvalues, len(rvalues), context): star_index = next( (i for i, lv in enumerate(lvalues) if isinstance(lv, StarExpr)), len(lvalues) ) left_lvs = lvalues[:star_index] star_lv = ( cast(StarExpr, lvalues[star_index]) if star_index != len(lvalues) else None ) right_lvs = lvalues[star_index + 1 :] left_rvs, star_rvs, right_rvs = self.split_around_star( rvalues, star_index, len(lvalues) ) lr_pairs = list(zip(left_lvs, left_rvs)) if star_lv: rv_list = ListExpr(star_rvs) rv_list.set_line(rvalue) lr_pairs.append((star_lv.expr, rv_list)) lr_pairs.extend(zip(right_lvs, right_rvs)) for lv, rv in lr_pairs: self.check_assignment(lv, rv, infer_lvalue_type) else: self.check_multi_assignment(lvalues, rvalue, context, infer_lvalue_type) def check_rvalue_count_in_assignment( self, lvalues: list[Lvalue], rvalue_count: int, context: Context, rvalue_unpack: int | None = None, ) -> bool: if rvalue_unpack is not None: if not any(isinstance(e, StarExpr) for e in lvalues): self.fail("Variadic tuple unpacking requires a star target", context) return False if len(lvalues) > rvalue_count: self.fail(message_registry.TOO_MANY_TARGETS_FOR_VARIADIC_UNPACK, context) return False left_star_index = next(i for i, lv in enumerate(lvalues) if isinstance(lv, StarExpr)) left_prefix = left_star_index left_suffix = len(lvalues) - left_star_index - 1 right_prefix = rvalue_unpack right_suffix = rvalue_count - rvalue_unpack - 1 if left_suffix > right_suffix or left_prefix > right_prefix: # Case of asymmetric unpack like: # rv: tuple[int, *Ts, int, int] # x, y, *xs, z = rv # it is technically valid, but is tricky to reason about. # TODO: support this (at least if the r.h.s. unpack is a homogeneous tuple). self.fail(message_registry.TOO_MANY_TARGETS_FOR_VARIADIC_UNPACK, context) return True if any(isinstance(lvalue, StarExpr) for lvalue in lvalues): if len(lvalues) - 1 > rvalue_count: self.msg.wrong_number_values_to_unpack(rvalue_count, len(lvalues) - 1, context) return False elif rvalue_count != len(lvalues): self.msg.wrong_number_values_to_unpack(rvalue_count, len(lvalues), context) return False return True def check_multi_assignment( self, lvalues: list[Lvalue], rvalue: Expression, context: Context, infer_lvalue_type: bool = True, rv_type: Type | None = None, undefined_rvalue: bool = False, ) -> None: """Check the assignment of one rvalue to a number of lvalues.""" # Infer the type of an ordinary rvalue expression. # TODO: maybe elsewhere; redundant. rvalue_type = get_proper_type(rv_type or self.expr_checker.accept(rvalue)) if isinstance(rvalue_type, TypeVarLikeType): rvalue_type = get_proper_type(rvalue_type.upper_bound) if isinstance(rvalue_type, UnionType): # If this is an Optional type in non-strict Optional code, unwrap it. relevant_items = rvalue_type.relevant_items() if len(relevant_items) == 1: rvalue_type = get_proper_type(relevant_items[0]) if ( isinstance(rvalue_type, TupleType) and find_unpack_in_list(rvalue_type.items) is not None ): # Normalize for consistent handling with "old-style" homogeneous tuples. rvalue_type = expand_type(rvalue_type, {}) if isinstance(rvalue_type, AnyType): for lv in lvalues: if isinstance(lv, StarExpr): lv = lv.expr temp_node = self.temp_node( AnyType(TypeOfAny.from_another_any, source_any=rvalue_type), context ) self.check_assignment(lv, temp_node, infer_lvalue_type) elif isinstance(rvalue_type, TupleType): self.check_multi_assignment_from_tuple( lvalues, rvalue, rvalue_type, context, undefined_rvalue, infer_lvalue_type ) elif isinstance(rvalue_type, UnionType): self.check_multi_assignment_from_union( lvalues, rvalue, rvalue_type, context, infer_lvalue_type ) elif isinstance(rvalue_type, Instance) and rvalue_type.type.fullname == "builtins.str": self.msg.unpacking_strings_disallowed(context) else: self.check_multi_assignment_from_iterable( lvalues, rvalue_type, context, infer_lvalue_type ) def check_multi_assignment_from_union( self, lvalues: list[Expression], rvalue: Expression, rvalue_type: UnionType, context: Context, infer_lvalue_type: bool, ) -> None: """Check assignment to multiple lvalue targets when rvalue type is a Union[...]. For example: t: Union[Tuple[int, int], Tuple[str, str]] x, y = t reveal_type(x) # Union[int, str] The idea in this case is to process the assignment for every item of the union. Important note: the types are collected in two places, 'union_types' contains inferred types for first assignments, 'assignments' contains the narrowed types for binder. """ self.no_partial_types = True transposed: tuple[list[Type], ...] = tuple([] for _ in self.flatten_lvalues(lvalues)) # Notify binder that we want to defer bindings and instead collect types. with self.binder.accumulate_type_assignments() as assignments: for item in rvalue_type.items: # Type check the assignment separately for each union item and collect # the inferred lvalue types for each union item. self.check_multi_assignment( lvalues, rvalue, context, infer_lvalue_type=infer_lvalue_type, rv_type=item, undefined_rvalue=True, ) for t, lv in zip(transposed, self.flatten_lvalues(lvalues)): # We can access _type_maps directly since temporary type maps are # only created within expressions. t.append(self._type_maps[-1].pop(lv, AnyType(TypeOfAny.special_form))) union_types = tuple(make_simplified_union(col) for col in transposed) for expr, items in assignments.items(): # Bind a union of types collected in 'assignments' to every expression. if isinstance(expr, StarExpr): expr = expr.expr # TODO: See comment in binder.py, ConditionalTypeBinder.assign_type # It's unclear why the 'declared_type' param is sometimes 'None' clean_items: list[tuple[Type, Type]] = [] for type, declared_type in items: assert declared_type is not None clean_items.append((type, declared_type)) types, declared_types = zip(*clean_items) self.binder.assign_type( expr, make_simplified_union(list(types)), make_simplified_union(list(declared_types)), ) for union, lv in zip(union_types, self.flatten_lvalues(lvalues)): # Properly store the inferred types. _1, _2, inferred = self.check_lvalue(lv) if inferred: self.set_inferred_type(inferred, lv, union) else: self.store_type(lv, union) self.no_partial_types = False def flatten_lvalues(self, lvalues: list[Expression]) -> list[Expression]: res: list[Expression] = [] for lv in lvalues: if isinstance(lv, (TupleExpr, ListExpr)): res.extend(self.flatten_lvalues(lv.items)) if isinstance(lv, StarExpr): # Unwrap StarExpr, since it is unwrapped by other helpers. lv = lv.expr res.append(lv) return res def check_multi_assignment_from_tuple( self, lvalues: list[Lvalue], rvalue: Expression, rvalue_type: TupleType, context: Context, undefined_rvalue: bool, infer_lvalue_type: bool = True, ) -> None: rvalue_unpack = find_unpack_in_list(rvalue_type.items) if self.check_rvalue_count_in_assignment( lvalues, len(rvalue_type.items), context, rvalue_unpack=rvalue_unpack ): star_index = next( (i for i, lv in enumerate(lvalues) if isinstance(lv, StarExpr)), len(lvalues) ) left_lvs = lvalues[:star_index] star_lv = cast(StarExpr, lvalues[star_index]) if star_index != len(lvalues) else None right_lvs = lvalues[star_index + 1 :] if not undefined_rvalue: # Infer rvalue again, now in the correct type context. lvalue_type = self.lvalue_type_for_inference(lvalues, rvalue_type) reinferred_rvalue_type = get_proper_type( self.expr_checker.accept(rvalue, lvalue_type) ) if isinstance(reinferred_rvalue_type, TypeVarLikeType): reinferred_rvalue_type = get_proper_type(reinferred_rvalue_type.upper_bound) if isinstance(reinferred_rvalue_type, UnionType): # If this is an Optional type in non-strict Optional code, unwrap it. relevant_items = reinferred_rvalue_type.relevant_items() if len(relevant_items) == 1: reinferred_rvalue_type = get_proper_type(relevant_items[0]) if isinstance(reinferred_rvalue_type, UnionType): self.check_multi_assignment_from_union( lvalues, rvalue, reinferred_rvalue_type, context, infer_lvalue_type ) return if isinstance(reinferred_rvalue_type, AnyType): # We can get Any if the current node is # deferred. Doing more inference in deferred nodes # is hard, so give up for now. We can also get # here if reinferring types above changes the # inferred return type for an overloaded function # to be ambiguous. return assert isinstance(reinferred_rvalue_type, TupleType) rvalue_type = reinferred_rvalue_type left_rv_types, star_rv_types, right_rv_types = self.split_around_star( rvalue_type.items, star_index, len(lvalues) ) for lv, rv_type in zip(left_lvs, left_rv_types): self.check_assignment(lv, self.temp_node(rv_type, context), infer_lvalue_type) if star_lv: list_expr = ListExpr( [ ( self.temp_node(rv_type, context) if not isinstance(rv_type, UnpackType) else StarExpr(self.temp_node(rv_type.type, context)) ) for rv_type in star_rv_types ] ) list_expr.set_line(context) self.check_assignment(star_lv.expr, list_expr, infer_lvalue_type) for lv, rv_type in zip(right_lvs, right_rv_types): self.check_assignment(lv, self.temp_node(rv_type, context), infer_lvalue_type) else: # Store meaningful Any types for lvalues, errors are already given # by check_rvalue_count_in_assignment() if infer_lvalue_type: for lv in lvalues: if ( isinstance(lv, NameExpr) and isinstance(lv.node, Var) and lv.node.type is None ): lv.node.type = AnyType(TypeOfAny.from_error) elif isinstance(lv, StarExpr): if ( isinstance(lv.expr, NameExpr) and isinstance(lv.expr.node, Var) and lv.expr.node.type is None ): lv.expr.node.type = self.named_generic_type( "builtins.list", [AnyType(TypeOfAny.from_error)] ) def lvalue_type_for_inference(self, lvalues: list[Lvalue], rvalue_type: TupleType) -> Type: star_index = next( (i for i, lv in enumerate(lvalues) if isinstance(lv, StarExpr)), len(lvalues) ) left_lvs = lvalues[:star_index] star_lv = cast(StarExpr, lvalues[star_index]) if star_index != len(lvalues) else None right_lvs = lvalues[star_index + 1 :] left_rv_types, star_rv_types, right_rv_types = self.split_around_star( rvalue_type.items, star_index, len(lvalues) ) type_parameters: list[Type] = [] def append_types_for_inference(lvs: list[Expression], rv_types: list[Type]) -> None: for lv, rv_type in zip(lvs, rv_types): sub_lvalue_type, index_expr, inferred = self.check_lvalue(lv) if sub_lvalue_type and not isinstance(sub_lvalue_type, PartialType): type_parameters.append(sub_lvalue_type) else: # index lvalue # TODO Figure out more precise type context, probably # based on the type signature of the _set method. type_parameters.append(rv_type) append_types_for_inference(left_lvs, left_rv_types) if star_lv: sub_lvalue_type, index_expr, inferred = self.check_lvalue(star_lv.expr) if sub_lvalue_type and not isinstance(sub_lvalue_type, PartialType): type_parameters.extend([sub_lvalue_type] * len(star_rv_types)) else: # index lvalue # TODO Figure out more precise type context, probably # based on the type signature of the _set method. type_parameters.extend(star_rv_types) append_types_for_inference(right_lvs, right_rv_types) return TupleType(type_parameters, self.named_type("builtins.tuple")) def split_around_star( self, items: list[T], star_index: int, length: int ) -> tuple[list[T], list[T], list[T]]: """Splits a list of items in three to match another list of length 'length' that contains a starred expression at 'star_index' in the following way: star_index = 2, length = 5 (i.e., [a,b,*,c,d]), items = [1,2,3,4,5,6,7] returns in: ([1,2], [3,4,5], [6,7]) """ nr_right_of_star = length - star_index - 1 right_index = -nr_right_of_star if nr_right_of_star != 0 else len(items) left = items[:star_index] star = items[star_index:right_index] right = items[right_index:] return left, star, right def type_is_iterable(self, type: Type) -> bool: type = get_proper_type(type) if isinstance(type, FunctionLike) and type.is_type_obj(): type = type.fallback return is_subtype( type, self.named_generic_type("typing.Iterable", [AnyType(TypeOfAny.special_form)]) ) def check_multi_assignment_from_iterable( self, lvalues: list[Lvalue], rvalue_type: Type, context: Context, infer_lvalue_type: bool = True, ) -> None: rvalue_type = get_proper_type(rvalue_type) if self.type_is_iterable(rvalue_type) and isinstance( rvalue_type, (Instance, CallableType, TypeType, Overloaded) ): item_type = self.iterable_item_type(rvalue_type, context) for lv in lvalues: if isinstance(lv, StarExpr): items_type = self.named_generic_type("builtins.list", [item_type]) self.check_assignment( lv.expr, self.temp_node(items_type, context), infer_lvalue_type ) else: self.check_assignment( lv, self.temp_node(item_type, context), infer_lvalue_type ) else: self.msg.type_not_iterable(rvalue_type, context) def check_lvalue( self, lvalue: Lvalue, rvalue: Expression | None = None ) -> tuple[Type | None, IndexExpr | None, Var | None]: lvalue_type = None index_lvalue = None inferred = None if self.is_definition(lvalue) and ( not isinstance(lvalue, NameExpr) or isinstance(lvalue.node, Var) ): if isinstance(lvalue, NameExpr): assert isinstance(lvalue.node, Var) inferred = lvalue.node else: assert isinstance(lvalue, MemberExpr) self.expr_checker.accept(lvalue.expr) inferred = lvalue.def_var elif isinstance(lvalue, IndexExpr): index_lvalue = lvalue elif isinstance(lvalue, MemberExpr): lvalue_type = self.expr_checker.analyze_ordinary_member_access(lvalue, True, rvalue) self.store_type(lvalue, lvalue_type) elif isinstance(lvalue, NameExpr): lvalue_type = self.expr_checker.analyze_ref_expr(lvalue, lvalue=True) if ( self.options.allow_redefinition_new and isinstance(lvalue.node, Var) and lvalue.node.is_inferred ): inferred = lvalue.node self.store_type(lvalue, lvalue_type) elif isinstance(lvalue, (TupleExpr, ListExpr)): types = [ self.check_lvalue(sub_expr)[0] or # This type will be used as a context for further inference of rvalue, # we put Uninhabited if there is no information available from lvalue. UninhabitedType() for sub_expr in lvalue.items ] lvalue_type = TupleType(types, self.named_type("builtins.tuple")) elif isinstance(lvalue, StarExpr): lvalue_type, _, _ = self.check_lvalue(lvalue.expr) else: lvalue_type = self.expr_checker.accept(lvalue) return lvalue_type, index_lvalue, inferred def is_definition(self, s: Lvalue) -> bool: if isinstance(s, NameExpr): if s.is_inferred_def: return True # If the node type is not defined, this must the first assignment # that we process => this is a definition, even though the semantic # analyzer did not recognize this as such. This can arise in code # that uses isinstance checks, if type checking of the primary # definition is skipped due to an always False type check. node = s.node if isinstance(node, Var): return node.type is None elif isinstance(s, MemberExpr): return s.is_inferred_def return False def infer_variable_type( self, name: Var, lvalue: Lvalue, init_type: Type, context: Context ) -> None: """Infer the type of initialized variables from initializer type.""" if isinstance(init_type, DeletedType): self.msg.deleted_as_rvalue(init_type, context) elif ( not is_valid_inferred_type( init_type, self.options, is_lvalue_final=name.is_final, is_lvalue_member=isinstance(lvalue, MemberExpr), ) and not self.no_partial_types ): # We cannot use the type of the initialization expression for full type # inference (it's not specific enough), but we might be able to give # partial type which will be made more specific later. A partial type # gets generated in assignment like 'x = []' where item type is not known. if name.name != "_" and not self.infer_partial_type(name, lvalue, init_type): self.msg.need_annotation_for_var(name, context, self.options) self.set_inference_error_fallback_type(name, lvalue, init_type) elif ( isinstance(lvalue, MemberExpr) and self.inferred_attribute_types is not None and lvalue.def_var and lvalue.def_var in self.inferred_attribute_types and not is_same_type(self.inferred_attribute_types[lvalue.def_var], init_type) ): # Multiple, inconsistent types inferred for an attribute. self.msg.need_annotation_for_var(name, context, self.options) name.type = AnyType(TypeOfAny.from_error) else: # Infer type of the target. # Make the type more general (strip away function names etc.). init_type = strip_type(init_type) self.set_inferred_type(name, lvalue, init_type) if self.options.allow_redefinition_new: self.binder.assign_type(lvalue, init_type, init_type) def infer_partial_type(self, name: Var, lvalue: Lvalue, init_type: Type) -> bool: init_type = get_proper_type(init_type) if isinstance(init_type, NoneType) and ( isinstance(lvalue, MemberExpr) or not self.options.allow_redefinition_new ): # When using --allow-redefinition-new, None types aren't special # when inferring simple variable types. partial_type = PartialType(None, name) elif isinstance(init_type, Instance): fullname = init_type.type.fullname is_ref = isinstance(lvalue, RefExpr) if ( is_ref and ( fullname == "builtins.list" or fullname == "builtins.set" or fullname == "builtins.dict" or fullname == "collections.OrderedDict" ) and all( isinstance(t, (NoneType, UninhabitedType)) for t in get_proper_types(init_type.args) ) ): partial_type = PartialType(init_type.type, name) elif is_ref and fullname == "collections.defaultdict": arg0 = get_proper_type(init_type.args[0]) arg1 = get_proper_type(init_type.args[1]) if isinstance( arg0, (NoneType, UninhabitedType) ) and self.is_valid_defaultdict_partial_value_type(arg1): arg1 = erase_type(arg1) assert isinstance(arg1, Instance) partial_type = PartialType(init_type.type, name, arg1) else: return False else: return False else: return False self.set_inferred_type(name, lvalue, partial_type) self.partial_types[-1].map[name] = lvalue return True def is_valid_defaultdict_partial_value_type(self, t: ProperType) -> bool: """Check if t can be used as the basis for a partial defaultdict value type. Examples: * t is 'int' --> True * t is 'list[Never]' --> True * t is 'dict[...]' --> False (only generic types with a single type argument supported) """ if not isinstance(t, Instance): return False if len(t.args) == 0: return True if len(t.args) == 1: arg = get_proper_type(t.args[0]) if self.options.old_type_inference: # Allow leaked TypeVars for legacy inference logic. allowed = isinstance(arg, (UninhabitedType, NoneType, TypeVarType)) else: allowed = isinstance(arg, (UninhabitedType, NoneType)) if allowed: return True return False def set_inferred_type(self, var: Var, lvalue: Lvalue, type: Type) -> None: """Store inferred variable type. Store the type to both the variable node and the expression node that refers to the variable (lvalue). If var is None, do nothing. """ if var and not self.current_node_deferred: var.type = type var.is_inferred = True var.is_ready = True if var not in self.var_decl_frames: # Used for the hack to improve optional type inference in conditionals self.var_decl_frames[var] = {frame.id for frame in self.binder.frames} if isinstance(lvalue, MemberExpr) and self.inferred_attribute_types is not None: # Store inferred attribute type so that we can check consistency afterwards. if lvalue.def_var is not None: self.inferred_attribute_types[lvalue.def_var] = type self.store_type(lvalue, type) p_type = get_proper_type(type) definition = None if isinstance(p_type, CallableType): definition = p_type.definition elif isinstance(p_type, Overloaded): # Randomly select first item, if items are different, there will # be an error during semantic analysis. definition = p_type.items[0].definition if definition: if is_node_static(definition): var.is_staticmethod = True elif is_classmethod_node(definition): var.is_classmethod = True elif is_property(definition): var.is_property = True if isinstance(p_type, Overloaded): # TODO: in theory we can have a property with a deleter only. var.is_settable_property = True assert isinstance(definition, Decorator), definition var.setter_type = definition.var.setter_type def set_inference_error_fallback_type(self, var: Var, lvalue: Lvalue, type: Type) -> None: """Store best known type for variable if type inference failed. If a program ignores error on type inference error, the variable should get some inferred type so that it can used later on in the program. Example: x = [] # type: ignore x.append(1) # Should be ok! We implement this here by giving x a valid type (replacing inferred Never with Any). """ fallback = self.inference_error_fallback_type(type) self.set_inferred_type(var, lvalue, fallback) def inference_error_fallback_type(self, type: Type) -> Type: fallback = type.accept(SetNothingToAny()) # Type variables may leak from inference, see https://github.com/python/mypy/issues/5738, # we therefore need to erase them. return erase_typevars(fallback) def simple_rvalue(self, rvalue: Expression) -> bool: """Returns True for expressions for which inferred type should not depend on context. Note that this function can still return False for some expressions where inferred type does not depend on context. It only exists for performance optimizations. """ if isinstance(rvalue, (IntExpr, StrExpr, BytesExpr, FloatExpr, RefExpr)): return True if isinstance(rvalue, CallExpr): if isinstance(rvalue.callee, RefExpr) and isinstance( rvalue.callee.node, SYMBOL_FUNCBASE_TYPES ): typ = rvalue.callee.node.type if isinstance(typ, CallableType): return not typ.variables elif isinstance(typ, Overloaded): return not any(item.variables for item in typ.items) return False def check_simple_assignment( self, lvalue_type: Type | None, rvalue: Expression, context: Context, msg: ErrorMessage = message_registry.INCOMPATIBLE_TYPES_IN_ASSIGNMENT, lvalue_name: str = "variable", rvalue_name: str = "expression", *, notes: list[str] | None = None, lvalue: Expression | None = None, inferred: Var | None = None, ) -> tuple[Type, Type | None]: if self.is_stub and isinstance(rvalue, EllipsisExpr): # '...' is always a valid initializer in a stub. return AnyType(TypeOfAny.special_form), lvalue_type else: always_allow_any = lvalue_type is not None and not isinstance( get_proper_type(lvalue_type), AnyType ) if inferred is None or is_typeddict_type_context(lvalue_type): type_context = lvalue_type else: type_context = None rvalue_type = self.expr_checker.accept( rvalue, type_context=type_context, always_allow_any=always_allow_any ) if ( lvalue_type is not None and type_context is None and not is_valid_inferred_type(rvalue_type, self.options) ): # Inference in an empty type context didn't produce a valid type, so # try using lvalue type as context instead. rvalue_type = self.expr_checker.accept( rvalue, type_context=lvalue_type, always_allow_any=always_allow_any ) if not is_valid_inferred_type(rvalue_type, self.options) and inferred is not None: self.msg.need_annotation_for_var(inferred, context, self.options) rvalue_type = rvalue_type.accept(SetNothingToAny()) if ( isinstance(lvalue, NameExpr) and inferred is not None and inferred.type is not None and not inferred.is_final ): new_inferred = remove_instance_last_known_values(rvalue_type) if not is_same_type(inferred.type, new_inferred): # Should we widen the inferred type or the lvalue? Variables defined # at module level or class bodies can't be widened in functions, or # in another module. if not self.refers_to_different_scope(lvalue): lvalue_type = make_simplified_union([inferred.type, new_inferred]) if not is_same_type(lvalue_type, inferred.type) and not isinstance( inferred.type, PartialType ): # Widen the type to the union of original and new type. self.widened_vars.append(inferred.name) self.set_inferred_type(inferred, lvalue, lvalue_type) self.binder.put(lvalue, rvalue_type) # TODO: A bit hacky, maybe add a binder method that does put and # updates declaration? lit = literal_hash(lvalue) if lit is not None: self.binder.declarations[lit] = lvalue_type if ( isinstance(get_proper_type(lvalue_type), UnionType) # Skip literal types, as they have special logic (for better errors). and not is_literal_type_like(rvalue_type) and not self.simple_rvalue(rvalue) ): # Try re-inferring r.h.s. in empty context, and use that if it # results in a narrower type. We don't do this always because this # may cause some perf impact, plus we want to partially preserve # the old behavior. This helps with various practical examples, see # e.g. testOptionalTypeNarrowedByGenericCall. with self.msg.filter_errors() as local_errors, self.local_type_map as type_map: alt_rvalue_type = self.expr_checker.accept( rvalue, None, always_allow_any=always_allow_any ) if ( not local_errors.has_new_errors() # Skip Any type, since it is special cased in binder. and not isinstance(get_proper_type(alt_rvalue_type), AnyType) and is_valid_inferred_type(alt_rvalue_type, self.options) and is_proper_subtype(alt_rvalue_type, rvalue_type) ): rvalue_type = alt_rvalue_type self.store_types(type_map) if isinstance(rvalue_type, DeletedType): self.msg.deleted_as_rvalue(rvalue_type, context) if isinstance(lvalue_type, DeletedType): self.msg.deleted_as_lvalue(lvalue_type, context) elif lvalue_type: self.check_subtype( # Preserve original aliases for error messages when possible. rvalue_type, lvalue_type, context, msg, f"{rvalue_name} has type", f"{lvalue_name} has type", notes=notes, ) return rvalue_type, lvalue_type def refers_to_different_scope(self, name: NameExpr) -> bool: if name.kind == LDEF: # TODO: Consider reference to outer function as a different scope? return False elif self.scope.top_level_function() is not None: # A non-local reference from within a function must refer to a different scope return True elif name.kind == GDEF and name.fullname.rpartition(".")[0] != self.tree.fullname: # Reference to global definition from another module return True return False def check_member_assignment( self, lvalue: MemberExpr, instance_type: Type, set_lvalue_type: Type, rvalue: Expression, context: Context, ) -> tuple[Type, Type, bool]: """Type member assignment. This defers to check_simple_assignment, unless the member expression is a descriptor, in which case this checks descriptor semantics as well. Return the inferred rvalue_type, inferred lvalue_type, and whether to use the binder for this assignment. """ instance_type = get_proper_type(instance_type) # Descriptors don't participate in class-attribute access if (isinstance(instance_type, FunctionLike) and instance_type.is_type_obj()) or isinstance( instance_type, TypeType ): rvalue_type, _ = self.check_simple_assignment(set_lvalue_type, rvalue, context) return rvalue_type, set_lvalue_type, True with self.msg.filter_errors(filter_deprecated=True): get_lvalue_type = self.expr_checker.analyze_ordinary_member_access( lvalue, is_lvalue=False ) # Special case: if the rvalue_type is a subtype of '__get__' type, and # '__get__' type is narrower than '__set__', then we invoke the binder to narrow type # by this assignment. Technically, this is not safe, but in practice this is # what a user expects. rvalue_type, _ = self.check_simple_assignment(set_lvalue_type, rvalue, context) rvalue_type = rvalue_type if is_subtype(rvalue_type, get_lvalue_type) else get_lvalue_type return rvalue_type, set_lvalue_type, is_subtype(get_lvalue_type, set_lvalue_type) def check_indexed_assignment( self, lvalue: IndexExpr, rvalue: Expression, context: Context ) -> None: """Type check indexed assignment base[index] = rvalue. The lvalue argument is the base[index] expression. """ self.try_infer_partial_type_from_indexed_assignment(lvalue, rvalue) basetype = get_proper_type(self.expr_checker.accept(lvalue.base)) method_type = self.expr_checker.analyze_external_member_access( "__setitem__", basetype, lvalue ) lvalue.method_type = method_type res_type, _ = self.expr_checker.check_method_call( "__setitem__", basetype, method_type, [lvalue.index, rvalue], [nodes.ARG_POS, nodes.ARG_POS], context, ) res_type = get_proper_type(res_type) if isinstance(res_type, UninhabitedType) and not res_type.ambiguous: self.binder.unreachable() def replace_partial_type( self, var: Var, new_type: Type, partial_types: dict[Var, Context] ) -> None: """Replace the partial type of var with a non-partial type.""" var.type = new_type # Updating a partial type should invalidate expression caches. self.binder.version += 1 del partial_types[var] if self.options.allow_redefinition_new: # When using --allow-redefinition-new, binder tracks all types of # simple variables. n = NameExpr(var.name) n.node = var self.binder.assign_type(n, new_type, new_type) def try_infer_partial_type_from_indexed_assignment( self, lvalue: IndexExpr, rvalue: Expression ) -> None: # TODO: Should we share some of this with try_infer_partial_type? var = None if isinstance(lvalue.base, RefExpr) and isinstance(lvalue.base.node, Var): var = lvalue.base.node elif isinstance(lvalue.base, MemberExpr): var = self.expr_checker.get_partial_self_var(lvalue.base) if isinstance(var, Var): if isinstance(var.type, PartialType): type_type = var.type.type if type_type is None: return # The partial type is None. partial_types = self.find_partial_types(var) if partial_types is None: return typename = type_type.fullname if ( typename == "builtins.dict" or typename == "collections.OrderedDict" or typename == "collections.defaultdict" ): # TODO: Don't infer things twice. key_type = self.expr_checker.accept(lvalue.index) value_type = self.expr_checker.accept(rvalue) if ( is_valid_inferred_type(key_type, self.options) and is_valid_inferred_type(value_type, self.options) and not self.current_node_deferred and not ( typename == "collections.defaultdict" and var.type.value_type is not None and not is_equivalent(value_type, var.type.value_type) ) ): new_type = self.named_generic_type(typename, [key_type, value_type]) self.replace_partial_type(var, new_type, partial_types) def type_requires_usage(self, typ: Type) -> tuple[str, ErrorCode] | None: """Some types require usage in all cases. The classic example is an unused coroutine. In the case that it does require usage, returns a note to attach to the error message. """ proper_type = get_proper_type(typ) if isinstance(proper_type, Instance): # We use different error codes for generic awaitable vs coroutine. # Coroutines are on by default, whereas generic awaitables are not. if proper_type.type.fullname == "typing.Coroutine": return ("Are you missing an await?", UNUSED_COROUTINE) if proper_type.type.get("__await__") is not None: return ("Are you missing an await?", UNUSED_AWAITABLE) return None def visit_expression_stmt(self, s: ExpressionStmt) -> None: expr_type = self.expr_checker.accept(s.expr, allow_none_return=True, always_allow_any=True) error_note_and_code = self.type_requires_usage(expr_type) if error_note_and_code: error_note, code = error_note_and_code self.fail( message_registry.TYPE_MUST_BE_USED.format(format_type(expr_type, self.options)), s, code=code, ) self.note(error_note, s, code=code) def visit_return_stmt(self, s: ReturnStmt) -> None: """Type check a return statement.""" self.check_return_stmt(s) self.binder.unreachable() def infer_context_dependent( self, expr: Expression, type_ctx: Type, allow_none_func_call: bool ) -> ProperType: """Infer type of an expression with fallback to empty type context.""" with self.msg.filter_errors( filter_errors=True, filter_deprecated=True, save_filtered_errors=True ) as msg: with self.local_type_map as type_map: typ = get_proper_type( self.expr_checker.accept( expr, type_ctx, allow_none_return=allow_none_func_call ) ) if not msg.has_new_errors(): self.store_types(type_map) return typ # If there are errors with the original type context, try re-inferring in empty context. original_messages = msg.filtered_errors() original_type_map = type_map with self.msg.filter_errors( filter_errors=True, filter_deprecated=True, save_filtered_errors=True ) as msg: with self.local_type_map as type_map: alt_typ = get_proper_type( self.expr_checker.accept(expr, None, allow_none_return=allow_none_func_call) ) if not msg.has_new_errors() and is_subtype(alt_typ, type_ctx): self.store_types(type_map) return alt_typ # If empty fallback didn't work, use results from the original type context. self.msg.add_errors(original_messages) self.store_types(original_type_map) return typ def check_return_stmt(self, s: ReturnStmt) -> None: defn = self.scope.current_function() if defn is not None: if defn.is_generator: return_type = self.get_generator_return_type( self.return_types[-1], defn.is_coroutine ) elif defn.is_coroutine: return_type = self.get_coroutine_return_type(self.return_types[-1]) else: return_type = self.return_types[-1] return_type = get_proper_type(return_type) is_lambda = isinstance(defn, LambdaExpr) if isinstance(return_type, UninhabitedType): # Avoid extra error messages for failed inference in lambdas if not is_lambda and not return_type.ambiguous: self.fail(message_registry.NO_RETURN_EXPECTED, s) return if s.expr: declared_none_return = isinstance(return_type, NoneType) declared_any_return = isinstance(return_type, AnyType) # This controls whether or not we allow a function call that # returns None as the expression of this return statement. # E.g. `return f()` for some `f` that returns None. We allow # this only if we're in a lambda or in a function that returns # `None` or `Any`. allow_none_func_call = is_lambda or declared_none_return or declared_any_return # Return with a value. if ( isinstance(s.expr, (CallExpr, ListExpr, TupleExpr, DictExpr, SetExpr, OpExpr)) or isinstance(s.expr, AwaitExpr) and isinstance(s.expr.expr, CallExpr) ): # For expressions that (strongly) depend on type context (i.e. those that # are handled like a function call), we allow fallback to empty type context # in case of errors, this improves user experience in some cases, # see e.g. testReturnFallbackInference. typ = self.infer_context_dependent(s.expr, return_type, allow_none_func_call) else: typ = get_proper_type( self.expr_checker.accept( s.expr, return_type, allow_none_return=allow_none_func_call ) ) # Treat NotImplemented as having type Any, consistent with its # definition in typeshed prior to python/typeshed#4222. if isinstance(typ, Instance) and typ.type.fullname in NOT_IMPLEMENTED_TYPE_NAMES: typ = AnyType(TypeOfAny.special_form) if defn.is_async_generator: self.fail(message_registry.RETURN_IN_ASYNC_GENERATOR, s) return # Returning a value of type Any is always fine. if isinstance(typ, AnyType): # (Unless you asked to be warned in that case, and the # function is not declared to return Any) if ( self.options.warn_return_any and not self.current_node_deferred and not is_proper_subtype(AnyType(TypeOfAny.special_form), return_type) and not ( defn.name in BINARY_MAGIC_METHODS and is_literal_not_implemented(s.expr) ) and not ( isinstance(return_type, Instance) and return_type.type.fullname == "builtins.object" ) and not is_lambda ): self.msg.incorrectly_returning_any(return_type, s) return # Disallow return expressions in functions declared to return # None, subject to two exceptions below. if declared_none_return: # Lambdas are allowed to have None returns. # Functions returning a value of type None are allowed to have a None return. if is_lambda or isinstance(typ, NoneType): return self.fail(message_registry.NO_RETURN_VALUE_EXPECTED, s) else: self.check_subtype( subtype_label="got", subtype=typ, supertype_label="expected", supertype=return_type, context=s.expr, outer_context=s, msg=message_registry.INCOMPATIBLE_RETURN_VALUE_TYPE, ) else: # Empty returns are valid in Generators with Any typed returns, but not in # coroutines. if ( defn.is_generator and not defn.is_coroutine and isinstance(return_type, AnyType) ): return if isinstance(return_type, (NoneType, AnyType)): return if self.in_checked_function(): self.fail(message_registry.RETURN_VALUE_EXPECTED, s) def visit_if_stmt(self, s: IfStmt) -> None: """Type check an if statement.""" # This frame records the knowledge from previous if/elif clauses not being taken. # Fall-through to the original frame is handled explicitly in each block. with self.binder.frame_context(can_skip=False, conditional_frame=True, fall_through=0): for e, b in zip(s.expr, s.body): t = get_proper_type(self.expr_checker.accept(e)) if isinstance(t, DeletedType): self.msg.deleted_as_rvalue(t, s) if_map, else_map = self.find_isinstance_check(e) # XXX Issue a warning if condition is always False? with self.binder.frame_context(can_skip=True, fall_through=2): self.push_type_map(if_map, from_assignment=False) self.accept(b) # XXX Issue a warning if condition is always True? self.push_type_map(else_map, from_assignment=False) with self.binder.frame_context(can_skip=False, fall_through=2): if s.else_body: self.accept(s.else_body) def visit_while_stmt(self, s: WhileStmt) -> None: """Type check a while statement.""" if_stmt = IfStmt([s.expr], [s.body], None) if_stmt.set_line(s) self.accept_loop(if_stmt, s.else_body, exit_condition=s.expr) def visit_operator_assignment_stmt(self, s: OperatorAssignmentStmt) -> None: """Type check an operator assignment statement, e.g. x += 1.""" self.try_infer_partial_generic_type_from_assignment(s.lvalue, s.rvalue, s.op) if isinstance(s.lvalue, MemberExpr): # Special case, some additional errors may be given for # assignments to read-only or final attributes. lvalue_type = self.expr_checker.visit_member_expr(s.lvalue, True) else: lvalue_type = self.expr_checker.accept(s.lvalue) inplace, method = infer_operator_assignment_method(lvalue_type, s.op) if inplace: # There is __ifoo__, treat as x = x.__ifoo__(y) rvalue_type, _ = self.expr_checker.check_op(method, lvalue_type, s.rvalue, s) if not is_subtype(rvalue_type, lvalue_type): self.msg.incompatible_operator_assignment(s.op, s) else: # There is no __ifoo__, treat as x = x y expr = OpExpr(s.op, s.lvalue, s.rvalue) expr.set_line(s) self.check_assignment( lvalue=s.lvalue, rvalue=expr, infer_lvalue_type=True, new_syntax=False ) self.check_final(s) def visit_assert_stmt(self, s: AssertStmt) -> None: self.expr_checker.accept(s.expr) if isinstance(s.expr, TupleExpr) and len(s.expr.items) > 0: self.fail(message_registry.MALFORMED_ASSERT, s) # If this is asserting some isinstance check, bind that type in the following code true_map, else_map = self.find_isinstance_check(s.expr) if s.msg is not None: self.expr_checker.analyze_cond_branch( else_map, s.msg, None, suppress_unreachable_errors=False ) self.push_type_map(true_map) def visit_raise_stmt(self, s: RaiseStmt) -> None: """Type check a raise statement.""" if s.expr: self.type_check_raise(s.expr, s) if s.from_expr: self.type_check_raise(s.from_expr, s, optional=True) self.binder.unreachable() def type_check_raise(self, e: Expression, s: RaiseStmt, optional: bool = False) -> None: typ = get_proper_type(self.expr_checker.accept(e)) if isinstance(typ, DeletedType): self.msg.deleted_as_rvalue(typ, e) return exc_type = self.named_type("builtins.BaseException") expected_type_items = [exc_type, TypeType(exc_type)] if optional: # This is used for `x` part in a case like `raise e from x`, # where we allow `raise e from None`. expected_type_items.append(NoneType()) self.check_subtype( typ, UnionType.make_union(expected_type_items), s, message_registry.INVALID_EXCEPTION ) if isinstance(typ, FunctionLike): # https://github.com/python/mypy/issues/11089 self.expr_checker.check_call(typ, [], [], e) if (isinstance(typ, Instance) and typ.type.fullname in NOT_IMPLEMENTED_TYPE_NAMES) or ( isinstance(e, CallExpr) and isinstance(e.callee, RefExpr) and e.callee.fullname == "builtins.NotImplemented" ): self.fail( message_registry.INVALID_EXCEPTION.with_additional_msg( '; did you mean "NotImplementedError"?' ), s, ) def visit_try_stmt(self, s: TryStmt) -> None: """Type check a try statement.""" iter_errors = None # Our enclosing frame will get the result if the try/except falls through. # This one gets all possible states after the try block exited abnormally # (by exception, return, break, etc.) with self.binder.frame_context(can_skip=False, fall_through=0): # Not only might the body of the try statement exit # abnormally, but so might an exception handler or else # clause. The finally clause runs in *all* cases, so we # need an outer try frame to catch all intermediate states # in case an exception is raised during an except or else # clause. As an optimization, only create the outer try # frame when there actually is a finally clause. self.visit_try_without_finally(s, try_frame=bool(s.finally_body)) if s.finally_body: # First we check finally_body is type safe on all abnormal exit paths iter_errors = IterationDependentErrors() with IterationErrorWatcher(self.msg.errors, iter_errors): self.accept(s.finally_body) if s.finally_body: # Then we try again for the more restricted set of options # that can fall through. (Why do we need to check the # finally clause twice? Depending on whether the finally # clause was reached by the try clause falling off the end # or exiting abnormally, after completing the finally clause # either flow will continue to after the entire try statement # or the exception/return/etc. will be processed and control # flow will escape. We need to check that the finally clause # type checks in both contexts, but only the resulting types # from the latter context affect the type state in the code # that follows the try statement.) assert iter_errors is not None if not self.binder.is_unreachable(): with IterationErrorWatcher(self.msg.errors, iter_errors): self.accept(s.finally_body) self.msg.iteration_dependent_errors(iter_errors) def visit_try_without_finally(self, s: TryStmt, try_frame: bool) -> None: """Type check a try statement, ignoring the finally block. On entry, the top frame should receive all flow that exits the try block abnormally (i.e., such that the else block does not execute), and its parent should receive all flow that exits the try block normally. """ # This frame will run the else block if the try fell through. # In that case, control flow continues to the parent of what # was the top frame on entry. with self.binder.frame_context(can_skip=False, fall_through=2, try_frame=try_frame): # This frame receives exit via exception, and runs exception handlers with self.binder.frame_context(can_skip=False, conditional_frame=True, fall_through=2): # Finally, the body of the try statement with self.binder.frame_context(can_skip=False, fall_through=2, try_frame=True): self.accept(s.body) for i in range(len(s.handlers)): with self.binder.frame_context(can_skip=True, fall_through=4): typ = s.types[i] if typ: t = self.check_except_handler_test(typ, s.is_star) var = s.vars[i] if var: # To support local variables, we make this a definition line, # causing assignment to set the variable's type. var.is_inferred_def = True self.check_assignment(var, self.temp_node(t, var)) self.accept(s.handlers[i]) var = s.vars[i] if var: # Exception variables are deleted. # Unfortunately, this doesn't let us detect usage before the # try/except block. source = var.name if isinstance(var.node, Var): new_type = DeletedType(source=source) var.node.type = new_type if self.options.allow_redefinition_new: # TODO: Should we use put() here? self.binder.assign_type(var, new_type, new_type) if not self.options.allow_redefinition_new: self.binder.cleanse(var) if s.else_body: self.accept(s.else_body) def check_except_handler_test(self, n: Expression, is_star: bool) -> Type: """Type check an exception handler test clause.""" typ = self.expr_checker.accept(n) all_types: list[Type] = [] test_types = self.get_types_from_except_handler(typ, n) for ttype in get_proper_types(test_types): if isinstance(ttype, AnyType): all_types.append(ttype) continue if isinstance(ttype, FunctionLike): item = ttype.items[0] if not item.is_type_obj(): self.fail(message_registry.INVALID_EXCEPTION_TYPE, n) return self.default_exception_type(is_star) exc_type = erase_typevars(item.ret_type) elif isinstance(ttype, TypeType): exc_type = ttype.item else: self.fail(message_registry.INVALID_EXCEPTION_TYPE, n) return self.default_exception_type(is_star) if not is_subtype(exc_type, self.named_type("builtins.BaseException")): self.fail(message_registry.INVALID_EXCEPTION_TYPE, n) return self.default_exception_type(is_star) all_types.append(exc_type) if is_star: new_all_types: list[Type] = [] for typ in all_types: if is_proper_subtype(typ, self.named_type("builtins.BaseExceptionGroup")): self.fail(message_registry.INVALID_EXCEPTION_GROUP, n) new_all_types.append(AnyType(TypeOfAny.from_error)) else: new_all_types.append(typ) return self.wrap_exception_group(new_all_types) return make_simplified_union(all_types) def default_exception_type(self, is_star: bool) -> Type: """Exception type to return in case of a previous type error.""" any_type = AnyType(TypeOfAny.from_error) if is_star: return self.named_generic_type("builtins.ExceptionGroup", [any_type]) return any_type def wrap_exception_group(self, types: Sequence[Type]) -> Type: """Transform except* variable type into an appropriate exception group.""" arg = make_simplified_union(types) if is_subtype(arg, self.named_type("builtins.Exception")): base = "builtins.ExceptionGroup" else: base = "builtins.BaseExceptionGroup" return self.named_generic_type(base, [arg]) def get_types_from_except_handler(self, typ: Type, n: Expression) -> list[Type]: """Helper for check_except_handler_test to retrieve handler types.""" typ = get_proper_type(typ) if isinstance(typ, TupleType): return typ.items elif isinstance(typ, UnionType): return [ union_typ for item in typ.relevant_items() for union_typ in self.get_types_from_except_handler(item, n) ] elif is_named_instance(typ, "builtins.tuple"): # variadic tuple return [typ.args[0]] else: return [typ] def visit_for_stmt(self, s: ForStmt) -> None: """Type check a for statement.""" if s.is_async: iterator_type, item_type = self.analyze_async_iterable_item_type(s.expr) else: iterator_type, item_type = self.analyze_iterable_item_type(s.expr) s.inferred_item_type = item_type s.inferred_iterator_type = iterator_type self.accept_loop( s.body, s.else_body, on_enter_body=lambda: self.analyze_index_variables( s.index, item_type, s.index_type is None, s ), ) def analyze_async_iterable_item_type(self, expr: Expression) -> tuple[Type, Type]: """Analyse async iterable expression and return iterator and iterator item types.""" echk = self.expr_checker iterable = echk.accept(expr) iterator = echk.check_method_call_by_name("__aiter__", iterable, [], [], expr)[0] awaitable = echk.check_method_call_by_name("__anext__", iterator, [], [], expr)[0] item_type = echk.check_awaitable_expr( awaitable, expr, message_registry.INCOMPATIBLE_TYPES_IN_ASYNC_FOR ) return iterator, item_type def analyze_iterable_item_type(self, expr: Expression) -> tuple[Type, Type]: """Analyse iterable expression and return iterator and iterator item types.""" iterator, iterable = self.analyze_iterable_item_type_without_expression( self.expr_checker.accept(expr), context=expr ) int_type = self.analyze_range_native_int_type(expr) if int_type: return iterator, int_type return iterator, iterable def analyze_iterable_item_type_without_expression( self, type: Type, context: Context ) -> tuple[Type, Type]: """Analyse iterable type and return iterator and iterator item types.""" echk = self.expr_checker iterable: Type iterable = get_proper_type(type) iterator = echk.check_method_call_by_name("__iter__", iterable, [], [], context)[0] if ( isinstance(iterable, TupleType) and iterable.partial_fallback.type.fullname == "builtins.tuple" ): return iterator, tuple_fallback(iterable).args[0] else: # Non-tuple iterable. iterable = echk.check_method_call_by_name("__next__", iterator, [], [], context)[0] return iterator, iterable def analyze_range_native_int_type(self, expr: Expression) -> Type | None: """Try to infer native int item type from arguments to range(...). For example, return i64 if the expression is "range(0, i64(n))". Return None if unsuccessful. """ if ( isinstance(expr, CallExpr) and isinstance(expr.callee, RefExpr) and expr.callee.fullname == "builtins.range" and 1 <= len(expr.args) <= 3 and all(kind == ARG_POS for kind in expr.arg_kinds) ): native_int: Type | None = None ok = True for arg in expr.args: argt = get_proper_type(self.lookup_type(arg)) if isinstance(argt, Instance) and argt.type.fullname in MYPYC_NATIVE_INT_NAMES: if native_int is None: native_int = argt elif argt != native_int: ok = False if ok and native_int: return native_int return None def analyze_container_item_type(self, typ: Type) -> Type | None: """Check if a type is a nominal container of a union of such. Return the corresponding container item type. """ typ = get_proper_type(typ) if isinstance(typ, UnionType): types: list[Type] = [] for item in typ.items: c_type = self.analyze_container_item_type(item) if c_type: types.append(c_type) return UnionType.make_union(types) if isinstance(typ, Instance) and typ.type.has_base("typing.Container"): supertype = self.named_type("typing.Container").type super_instance = map_instance_to_supertype(typ, supertype) assert len(super_instance.args) == 1 return super_instance.args[0] if isinstance(typ, TupleType): return self.analyze_container_item_type(tuple_fallback(typ)) return None def analyze_index_variables( self, index: Expression, item_type: Type, infer_lvalue_type: bool, context: Context ) -> None: """Type check or infer for loop or list comprehension index vars.""" self.check_assignment(index, self.temp_node(item_type, context), infer_lvalue_type) def visit_del_stmt(self, s: DelStmt) -> None: if isinstance(s.expr, IndexExpr): e = s.expr m = MemberExpr(e.base, "__delitem__") m.line = s.line m.column = s.column c = CallExpr(m, [e.index], [nodes.ARG_POS], [None]) c.line = s.line c.column = s.column self.expr_checker.accept(c, allow_none_return=True) else: s.expr.accept(self.expr_checker) for elt in flatten(s.expr): if isinstance(elt, NameExpr): self.binder.assign_type( elt, DeletedType(source=elt.name), get_declaration(elt) ) def visit_decorator(self, e: Decorator) -> None: for d in e.decorators: if isinstance(d, RefExpr): if d.fullname == "typing.no_type_check": e.var.type = AnyType(TypeOfAny.special_form) e.var.is_ready = True return self.visit_decorator_inner(e) def visit_decorator_inner( self, e: Decorator, allow_empty: bool = False, skip_first_item: bool = False ) -> None: if self.recurse_into_functions: with self.tscope.function_scope(e.func): self.check_func_item(e.func, name=e.func.name, allow_empty=allow_empty) # Process decorators from the inside out to determine decorated signature, which # may be different from the declared signature. sig: Type = self.function_type(e.func) non_trivial_decorator = False # For settable properties skip the first decorator (that is @foo.setter). for d in reversed(e.decorators[1:] if skip_first_item else e.decorators): if refers_to_fullname(d, "abc.abstractmethod"): # This is a hack to avoid spurious errors because of incomplete type # of @abstractmethod in the test fixtures. continue if refers_to_fullname(d, OVERLOAD_NAMES): if not allow_empty: self.fail(message_registry.MULTIPLE_OVERLOADS_REQUIRED, e) continue non_trivial_decorator = True dec = self.expr_checker.accept(d) temp = self.temp_node(sig, context=d) fullname = None if isinstance(d, RefExpr): fullname = d.fullname or None # if this is an expression like @b.a where b is an object, get the type of b, # so we can pass it the method hook in the plugins object_type: Type | None = None if fullname is None and isinstance(d, MemberExpr) and self.has_type(d.expr): object_type = self.lookup_type(d.expr) fullname = self.expr_checker.method_fullname(object_type, d.name) self.check_for_untyped_decorator(e.func, dec, d) sig, t2 = self.expr_checker.check_call( dec, [temp], [nodes.ARG_POS], e, callable_name=fullname, object_type=object_type ) if non_trivial_decorator: self.check_untyped_after_decorator(sig, e.func) self.require_correct_self_argument(sig, e.func) sig = set_callable_name(sig, e.func) if isinstance(sig, CallableType): sig.definition = e e.var.type = sig e.var.is_ready = True if e.func.is_property: if isinstance(sig, CallableType): if len([k for k in sig.arg_kinds if k.is_required()]) > 1: self.msg.fail("Too many arguments for property", e) self.check_incompatible_property_override(e) # For overloaded functions/properties we already checked override for overload as a whole. if allow_empty or skip_first_item: return if e.func.info and not e.is_overload: found_method_base_classes = self.check_method_override(e) if ( e.func.is_explicit_override and not found_method_base_classes and found_method_base_classes is not None # If the class has Any fallback, we can't be certain that a method # is really missing - it might come from unfollowed import. and not e.func.info.fallback_to_any ): self.msg.no_overridable_method(e.func.name, e.func) self.check_explicit_override_decorator(e.func, found_method_base_classes) if e.func.info and e.func.name in ("__init__", "__new__"): if e.type and not isinstance(get_proper_type(e.type), (FunctionLike, AnyType)): self.fail(message_registry.BAD_CONSTRUCTOR_TYPE, e) if e.func.original_def and isinstance(sig, FunctionLike): # Function definition overrides function definition. self.check_func_def_override(e.func, sig) def check_for_untyped_decorator( self, func: FuncDef, dec_type: Type, dec_expr: Expression ) -> None: if ( self.options.disallow_untyped_decorators and is_typed_callable(func.type) and is_untyped_decorator(dec_type) and not self.current_node_deferred ): self.msg.typed_function_untyped_decorator(func.name, dec_expr) def check_incompatible_property_override(self, e: Decorator) -> None: if not e.var.is_settable_property and e.func.info: name = e.func.name for base in e.func.info.mro[1:]: base_attr = base.names.get(name) if not base_attr: continue if ( isinstance(base_attr.node, OverloadedFuncDef) and base_attr.node.is_property and cast(Decorator, base_attr.node.items[0]).var.is_settable_property ): self.fail(message_registry.READ_ONLY_PROPERTY_OVERRIDES_READ_WRITE, e) def visit_with_stmt(self, s: WithStmt) -> None: exceptions_maybe_suppressed = False for expr, target in zip(s.expr, s.target): if s.is_async: exit_ret_type = self.check_async_with_item(expr, target, s.unanalyzed_type is None) else: exit_ret_type = self.check_with_item(expr, target, s.unanalyzed_type is None) # Based on the return type, determine if this context manager 'swallows' # exceptions or not. We determine this using a heuristic based on the # return type of the __exit__ method -- see the discussion in # https://github.com/python/mypy/issues/7214 and the section about context managers # in https://github.com/python/typeshed/blob/main/CONTRIBUTING.md#conventions # for more details. exit_ret_type = get_proper_type(exit_ret_type) if is_literal_type(exit_ret_type, "builtins.bool", False): continue if is_literal_type(exit_ret_type, "builtins.bool", True) or ( isinstance(exit_ret_type, Instance) and exit_ret_type.type.fullname == "builtins.bool" and state.strict_optional ): # Note: if strict-optional is disabled, this bool instance # could actually be an Optional[bool]. exceptions_maybe_suppressed = True if exceptions_maybe_suppressed: # Treat this 'with' block in the same way we'd treat a 'try: BODY; except: pass' # block. This means control flow can continue after the 'with' even if the 'with' # block immediately returns. with self.binder.frame_context(can_skip=True, try_frame=True): self.accept(s.body) else: self.accept(s.body) def check_untyped_after_decorator(self, typ: Type, func: FuncDef) -> None: if not self.options.disallow_any_decorated or self.is_stub or self.current_node_deferred: return if mypy.checkexpr.has_any_type(typ): self.msg.untyped_decorated_function(typ, func) def check_async_with_item( self, expr: Expression, target: Expression | None, infer_lvalue_type: bool ) -> Type: echk = self.expr_checker ctx = echk.accept(expr) obj = echk.check_method_call_by_name("__aenter__", ctx, [], [], expr)[0] obj = echk.check_awaitable_expr( obj, expr, message_registry.INCOMPATIBLE_TYPES_IN_ASYNC_WITH_AENTER ) if target: self.check_assignment(target, self.temp_node(obj, expr), infer_lvalue_type) arg = self.temp_node(AnyType(TypeOfAny.special_form), expr) res, _ = echk.check_method_call_by_name( "__aexit__", ctx, [arg] * 3, [nodes.ARG_POS] * 3, expr ) return echk.check_awaitable_expr( res, expr, message_registry.INCOMPATIBLE_TYPES_IN_ASYNC_WITH_AEXIT ) def check_with_item( self, expr: Expression, target: Expression | None, infer_lvalue_type: bool ) -> Type: echk = self.expr_checker ctx = echk.accept(expr) obj = echk.check_method_call_by_name("__enter__", ctx, [], [], expr)[0] if target: self.check_assignment(target, self.temp_node(obj, expr), infer_lvalue_type) arg = self.temp_node(AnyType(TypeOfAny.special_form), expr) res, _ = echk.check_method_call_by_name( "__exit__", ctx, [arg] * 3, [nodes.ARG_POS] * 3, expr ) return res def visit_break_stmt(self, s: BreakStmt) -> None: self.binder.handle_break() def visit_continue_stmt(self, s: ContinueStmt) -> None: self.binder.handle_continue() return def visit_match_stmt(self, s: MatchStmt) -> None: # In sync with similar actions elsewhere, narrow the target if # we are matching an AssignmentExpr unwrapped_subject = collapse_walrus(s.subject) named_subject = self._make_named_statement_for_match(s, unwrapped_subject) with self.binder.frame_context(can_skip=False, fall_through=0): subject_type = get_proper_type(self.expr_checker.accept(s.subject)) if isinstance(subject_type, DeletedType): self.msg.deleted_as_rvalue(subject_type, s) # We infer types of patterns twice. The first pass is used # to infer the types of capture variables. The type of a # capture variable may depend on multiple patterns (it # will be a union of all capture types). This pass ignores # guard expressions. pattern_types = [self.pattern_checker.accept(p, subject_type) for p in s.patterns] type_maps: list[TypeMap] = [t.captures for t in pattern_types] inferred_types = self.infer_variable_types_from_type_maps(type_maps) # The second pass narrows down the types and type checks bodies. unmatched_types: TypeMap = None for p, g, b in zip(s.patterns, s.guards, s.bodies): current_subject_type = self.expr_checker.narrow_type_from_binder( named_subject, subject_type ) pattern_type = self.pattern_checker.accept(p, current_subject_type) with self.binder.frame_context(can_skip=True, fall_through=2): if b.is_unreachable or isinstance( get_proper_type(pattern_type.type), UninhabitedType ): self.push_type_map(None, from_assignment=False) else_map: TypeMap = {} else: pattern_map, else_map = conditional_types_to_typemaps( named_subject, pattern_type.type, pattern_type.rest_type ) # Maybe the subject type can be inferred from constraints on # its attribute/item? if pattern_map and named_subject in pattern_map: pattern_map[unwrapped_subject] = pattern_map[named_subject] if else_map and named_subject in else_map: else_map[unwrapped_subject] = else_map[named_subject] pattern_map = self.propagate_up_typemap_info(pattern_map) else_map = self.propagate_up_typemap_info(else_map) self.remove_capture_conflicts(pattern_type.captures, inferred_types) self.push_type_map(pattern_map, from_assignment=False) if pattern_map: for expr, typ in pattern_map.items(): self.push_type_map( self._get_recursive_sub_patterns_map(expr, typ), from_assignment=False, ) self.push_type_map(pattern_type.captures, from_assignment=False) if g is not None: with self.binder.frame_context(can_skip=False, fall_through=3): gt = get_proper_type(self.expr_checker.accept(g)) if isinstance(gt, DeletedType): self.msg.deleted_as_rvalue(gt, s) guard_map, guard_else_map = self.find_isinstance_check(g) else_map = or_conditional_maps(else_map, guard_else_map) # If the guard narrowed the subject, copy the narrowed types over if isinstance(p, AsPattern): case_target = p.pattern or p.name if isinstance(case_target, NameExpr): for type_map in (guard_map, else_map): if not type_map: continue for expr in list(type_map): if not ( isinstance(expr, NameExpr) and expr.fullname == case_target.fullname ): continue type_map[named_subject] = type_map[expr] self.push_type_map(guard_map, from_assignment=False) self.accept(b) else: self.accept(b) self.push_type_map(else_map, from_assignment=False) unmatched_types = else_map if unmatched_types is not None and not self.current_node_deferred: for typ in unmatched_types.values(): self.msg.match_statement_inexhaustive_match(typ, s) # This is needed due to a quirk in frame_context. Without it types will stay narrowed # after the match. with self.binder.frame_context(can_skip=False, fall_through=2): pass def _make_named_statement_for_match(self, s: MatchStmt, subject: Expression) -> Expression: """Construct a fake NameExpr for inference if a match clause is complex.""" if self.binder.can_put_directly(subject): # Already named - we should infer type of it as given return subject elif s.subject_dummy is not None: return s.subject_dummy else: # Create a dummy subject expression to handle cases where a match statement's subject # is not a literal value. This lets us correctly narrow types and check exhaustivity # This is hack! name = self.new_unique_dummy_name("match") v = Var(name) named_subject = NameExpr(name) named_subject.node = v s.subject_dummy = named_subject return named_subject def _get_recursive_sub_patterns_map( self, expr: Expression, typ: Type ) -> dict[Expression, Type]: sub_patterns_map: dict[Expression, Type] = {} typ_ = get_proper_type(typ) if isinstance(expr, TupleExpr) and isinstance(typ_, TupleType): # When matching a tuple expression with a sequence pattern, narrow individual tuple items assert len(expr.items) == len(typ_.items) for item_expr, item_typ in zip(expr.items, typ_.items): sub_patterns_map[item_expr] = item_typ sub_patterns_map.update(self._get_recursive_sub_patterns_map(item_expr, item_typ)) return sub_patterns_map def infer_variable_types_from_type_maps( self, type_maps: list[TypeMap] ) -> dict[SymbolNode, Type]: # Type maps may contain variables inherited from previous code which are not # necessary `Var`s (e.g. a function defined earlier with the same name). all_captures: dict[SymbolNode, list[tuple[NameExpr, Type]]] = defaultdict(list) for tm in type_maps: if tm is not None: for expr, typ in tm.items(): if isinstance(expr, NameExpr): node = expr.node assert node is not None all_captures[node].append((expr, typ)) inferred_types: dict[SymbolNode, Type] = {} for var, captures in all_captures.items(): already_exists = False types: list[Type] = [] for expr, typ in captures: types.append(typ) previous_type, _, _ = self.check_lvalue(expr) if previous_type is not None: already_exists = True if isinstance(expr.node, Var) and expr.node.is_final: self.msg.cant_assign_to_final(expr.name, False, expr) if self.check_subtype( typ, previous_type, expr, msg=message_registry.INCOMPATIBLE_TYPES_IN_CAPTURE, subtype_label="pattern captures type", supertype_label="variable has type", ): inferred_types[var] = previous_type if not already_exists: new_type = UnionType.make_union(types) # Infer the union type at the first occurrence first_occurrence, _ = captures[0] # If it didn't exist before ``match``, it's a Var. assert isinstance(var, Var) inferred_types[var] = new_type self.infer_variable_type(var, first_occurrence, new_type, first_occurrence) return inferred_types def remove_capture_conflicts( self, type_map: TypeMap, inferred_types: dict[SymbolNode, Type] ) -> None: if type_map: for expr, typ in list(type_map.items()): if isinstance(expr, NameExpr): node = expr.node if node not in inferred_types or not is_subtype(typ, inferred_types[node]): del type_map[expr] def visit_type_alias_stmt(self, o: TypeAliasStmt) -> None: if o.alias_node: self.check_typevar_defaults(o.alias_node.alias_tvars) with self.msg.filter_errors(): self.expr_checker.accept(o.value) def make_fake_typeinfo( self, curr_module_fullname: str, class_gen_name: str, class_short_name: str, bases: list[Instance], ) -> tuple[ClassDef, TypeInfo]: # Build the fake ClassDef and TypeInfo together. # The ClassDef is full of lies and doesn't actually contain a body. # Use format_bare to generate a nice name for error messages. # We skip fully filling out a handful of TypeInfo fields because they # should be irrelevant for a generated type like this: # is_protocol, protocol_members, is_abstract cdef = ClassDef(class_short_name, Block([])) cdef.fullname = curr_module_fullname + "." + class_gen_name info = TypeInfo(SymbolTable(), cdef, curr_module_fullname) cdef.info = info info.bases = bases calculate_mro(info) info.metaclass_type = info.calculate_metaclass_type() return cdef, info def intersect_instances( self, instances: tuple[Instance, Instance], errors: list[tuple[str, str]] ) -> Instance | None: """Try creating an ad-hoc intersection of the given instances. Note that this function does *not* try and create a full-fledged intersection type. Instead, it returns an instance of a new ad-hoc subclass of the given instances. This is mainly useful when you need a way of representing some theoretical subclass of the instances the user may be trying to use the generated intersection can serve as a placeholder. This function will create a fresh subclass the first time you call it. So this means calling `self.intersect_intersection([inst_1, inst_2], ctx)` twice will return the same subclass of inst_1 and inst_2. Returns None if creating the subclass is impossible (e.g. due to MRO errors or incompatible signatures). If we do successfully create a subclass, its TypeInfo will automatically be added to the global scope. """ curr_module = self.scope.stack[0] assert isinstance(curr_module, MypyFile) # First, retry narrowing while allowing promotions (they are disabled by default # for isinstance() checks, etc). This way we will still type-check branches like # x: complex = 1 # if isinstance(x, int): # ... left, right = instances if is_proper_subtype(left, right, ignore_promotions=False): return left if is_proper_subtype(right, left, ignore_promotions=False): return right def _get_base_classes(instances_: tuple[Instance, Instance]) -> list[Instance]: base_classes_ = [] for inst in instances_: if inst.type.is_intersection: expanded = inst.type.bases else: expanded = [inst] for expanded_inst in expanded: base_classes_.append(expanded_inst) return base_classes_ def _make_fake_typeinfo_and_full_name( base_classes_: list[Instance], curr_module_: MypyFile, options: Options ) -> tuple[TypeInfo, str]: names = [format_type_bare(x, options=options, verbosity=2) for x in base_classes_] name = f"" if (symbol := curr_module_.names.get(name)) is not None: assert isinstance(symbol.node, TypeInfo) return symbol.node, name cdef, info_ = self.make_fake_typeinfo(curr_module_.fullname, name, name, base_classes_) return info_, name base_classes = _get_base_classes(instances) # We use the pretty_names_list for error messages but for the real name that goes # into the symbol table because it is not specific enough. pretty_names_list = pretty_seq( format_type_distinctly(*base_classes, options=self.options, bare=True), "and" ) if not can_have_shared_disjoint_base(base_classes): errors.append((pretty_names_list, "have distinct disjoint bases")) return None new_errors = [] for base in base_classes: if base.type.is_final: new_errors.append((pretty_names_list, f'"{base.type.name}" is final')) if new_errors: errors.extend(new_errors) return None try: info, full_name = _make_fake_typeinfo_and_full_name( base_classes, curr_module, self.options ) with self.msg.filter_errors() as local_errors: self.check_multiple_inheritance(info) if local_errors.has_new_errors(): # "class A(B, C)" unsafe, now check "class A(C, B)": base_classes = _get_base_classes(instances[::-1]) info, full_name = _make_fake_typeinfo_and_full_name( base_classes, curr_module, self.options ) with self.msg.filter_errors() as local_errors: self.check_multiple_inheritance(info) info.is_intersection = True except MroError: errors.append((pretty_names_list, "would have inconsistent method resolution order")) return None if local_errors.has_new_errors(): errors.append((pretty_names_list, "would have incompatible method signatures")) return None curr_module.names[full_name] = SymbolTableNode(GDEF, info) return Instance(info, [], extra_attrs=instances[0].extra_attrs or instances[1].extra_attrs) def intersect_instance_callable(self, typ: Instance, callable_type: CallableType) -> Instance: """Creates a fake type that represents the intersection of an Instance and a CallableType. It operates by creating a bare-minimum dummy TypeInfo that subclasses type and adds a __call__ method matching callable_type. """ # In order for this to work in incremental mode, the type we generate needs to # have a valid fullname and a corresponding entry in a symbol table. We generate # a unique name inside the symbol table of the current module. cur_module = self.scope.stack[0] assert isinstance(cur_module, MypyFile) gen_name = gen_unique_name(f"", cur_module.names) # Synthesize a fake TypeInfo short_name = format_type_bare(typ, self.options) cdef, info = self.make_fake_typeinfo(cur_module.fullname, gen_name, short_name, [typ]) # Build up a fake FuncDef so we can populate the symbol table. func_def = FuncDef("__call__", [], Block([]), callable_type) func_def._fullname = cdef.fullname + ".__call__" func_def.info = info info.names["__call__"] = SymbolTableNode(MDEF, func_def) cur_module.names[gen_name] = SymbolTableNode(GDEF, info) return Instance(info, [], extra_attrs=typ.extra_attrs) def make_fake_callable(self, typ: Instance) -> Instance: """Produce a new type that makes type Callable with a generic callable type.""" fallback = self.named_type("builtins.function") callable_type = CallableType( [AnyType(TypeOfAny.explicit), AnyType(TypeOfAny.explicit)], [nodes.ARG_STAR, nodes.ARG_STAR2], [None, None], ret_type=AnyType(TypeOfAny.explicit), fallback=fallback, is_ellipsis_args=True, ) return self.intersect_instance_callable(typ, callable_type) def partition_by_callable( self, typ: Type, unsound_partition: bool ) -> tuple[list[Type], list[Type]]: """Partitions a type into callable subtypes and uncallable subtypes. Thus, given: `callables, uncallables = partition_by_callable(type)` If we assert `callable(type)` then `type` has type Union[*callables], and If we assert `not callable(type)` then `type` has type Union[*uncallables] If unsound_partition is set, assume that anything that is not clearly callable is in fact not callable. Otherwise we generate a new subtype that *is* callable. Guaranteed to not return [], []. """ typ = get_proper_type(typ) if isinstance(typ, (FunctionLike, TypeType)): return [typ], [] if isinstance(typ, AnyType): return [typ], [typ] if isinstance(typ, NoneType): return [], [typ] if isinstance(typ, UnionType): callables = [] uncallables = [] for subtype in typ.items: # Use unsound_partition when handling unions in order to # allow the expected type discrimination. subcallables, subuncallables = self.partition_by_callable( subtype, unsound_partition=True ) callables.extend(subcallables) uncallables.extend(subuncallables) return callables, uncallables if isinstance(typ, TypeVarType): # We could do better probably? # Refine the type variable's bound as our type in the case that # callable() is true. This unfortunately loses the information that # the type is a type variable in that branch. # This matches what is done for isinstance, but it may be possible to # do better. # If it is possible for the false branch to execute, return the original # type to avoid losing type information. callables, uncallables = self.partition_by_callable( erase_to_union_or_bound(typ), unsound_partition ) uncallables = [typ] if uncallables else [] return callables, uncallables # A TupleType is callable if its fallback is, but needs special handling # when we dummy up a new type. ityp = typ if isinstance(typ, TupleType): ityp = tuple_fallback(typ) if isinstance(ityp, Instance): method = ityp.type.get_method("__call__") if method and method.type: callables, uncallables = self.partition_by_callable( method.type, unsound_partition=False ) if callables and not uncallables: # Only consider the type callable if its __call__ method is # definitely callable. return [typ], [] if not unsound_partition: fake = self.make_fake_callable(ityp) if isinstance(typ, TupleType): fake.type.tuple_type = TupleType(typ.items, fake) return [fake.type.tuple_type], [typ] return [fake], [typ] if unsound_partition: return [], [typ] else: # We don't know how properly make the type callable. return [typ], [typ] def conditional_callable_type_map( self, expr: Expression, current_type: Type | None ) -> tuple[TypeMap, TypeMap]: """Takes in an expression and the current type of the expression. Returns a 2-tuple: The first element is a map from the expression to the restricted type if it were callable. The second element is a map from the expression to the type it would hold if it weren't callable. """ if not current_type: return {}, {} if isinstance(get_proper_type(current_type), AnyType): return {}, {} callables, uncallables = self.partition_by_callable(current_type, unsound_partition=False) if callables and uncallables: callable_map = {expr: UnionType.make_union(callables)} if callables else None uncallable_map = {expr: UnionType.make_union(uncallables)} if uncallables else None return callable_map, uncallable_map elif callables: return {}, None return None, {} def conditional_types_for_iterable( self, item_type: Type, iterable_type: Type ) -> tuple[Type | None, Type | None]: """ Narrows the type of `iterable_type` based on the type of `item_type`. For now, we only support narrowing unions of TypedDicts based on left operand being literal string(s). """ if_types: list[Type] = [] else_types: list[Type] = [] iterable_type = get_proper_type(iterable_type) if isinstance(iterable_type, UnionType): possible_iterable_types = get_proper_types(iterable_type.relevant_items()) else: possible_iterable_types = [iterable_type] item_str_literals = try_getting_str_literals_from_type(item_type) for possible_iterable_type in possible_iterable_types: if item_str_literals and isinstance(possible_iterable_type, TypedDictType): for key in item_str_literals: if key in possible_iterable_type.required_keys: if_types.append(possible_iterable_type) elif ( key in possible_iterable_type.items or not possible_iterable_type.is_final ): if_types.append(possible_iterable_type) else_types.append(possible_iterable_type) else: else_types.append(possible_iterable_type) else: if_types.append(possible_iterable_type) else_types.append(possible_iterable_type) return ( UnionType.make_union(if_types) if if_types else None, UnionType.make_union(else_types) if else_types else None, ) def _is_truthy_type(self, t: ProperType) -> bool: return ( ( isinstance(t, Instance) and bool(t.type) and not t.type.has_readable_member("__bool__") and not t.type.has_readable_member("__len__") and t.type.fullname != "builtins.object" ) or isinstance(t, FunctionLike) or ( isinstance(t, UnionType) and all(self._is_truthy_type(t) for t in get_proper_types(t.items)) ) ) def check_for_truthy_type(self, t: Type, expr: Expression) -> None: """ Check if a type can have a truthy value. Used in checks like:: if x: # <--- not x # <--- """ if not state.strict_optional: return # if everything can be None, all bets are off t = get_proper_type(t) if not self._is_truthy_type(t): return def format_expr_type() -> str: typ = format_type(t, self.options) if isinstance(expr, MemberExpr): return f'Member "{expr.name}" has type {typ}' elif isinstance(expr, RefExpr) and expr.fullname: return f'"{expr.fullname}" has type {typ}' elif isinstance(expr, CallExpr): if isinstance(expr.callee, MemberExpr): return f'"{expr.callee.name}" returns {typ}' elif isinstance(expr.callee, RefExpr) and expr.callee.fullname: return f'"{expr.callee.fullname}" returns {typ}' return f"Call returns {typ}" else: return f"Expression has type {typ}" def get_expr_name() -> str: if isinstance(expr, (NameExpr, MemberExpr)): return f'"{expr.name}"' else: # return type if expr has no name return format_type(t, self.options) if isinstance(t, FunctionLike): self.fail(message_registry.FUNCTION_ALWAYS_TRUE.format(get_expr_name()), expr) elif isinstance(t, UnionType): self.fail(message_registry.TYPE_ALWAYS_TRUE_UNIONTYPE.format(format_expr_type()), expr) elif isinstance(t, Instance) and t.type.fullname == "typing.Iterable": _, info = self.make_fake_typeinfo("typing", "Collection", "Collection", []) self.fail( message_registry.ITERABLE_ALWAYS_TRUE.format( format_expr_type(), format_type(Instance(info, t.args), self.options) ), expr, ) else: self.fail(message_registry.TYPE_ALWAYS_TRUE.format(format_expr_type()), expr) def find_type_equals_check( self, node: ComparisonExpr, expr_indices: list[int] ) -> tuple[TypeMap, TypeMap]: """Narrow types based on any checks of the type ``type(x) == T`` Args: node: The node that might contain the comparison expr_indices: The list of indices of expressions in ``node`` that are being compared """ def is_type_call(expr: CallExpr) -> bool: """Is expr a call to type with one argument?""" return refers_to_fullname(expr.callee, "builtins.type") and len(expr.args) == 1 # exprs that are being passed into type exprs_in_type_calls: list[Expression] = [] # type that is being compared to type(expr) type_being_compared: list[TypeRange] | None = None # whether the type being compared to is final is_final = False for index in expr_indices: expr = node.operands[index] if isinstance(expr, CallExpr) and is_type_call(expr): exprs_in_type_calls.append(expr.args[0]) else: current_type = self.get_isinstance_type(expr) if current_type is None: continue if type_being_compared is not None: # It doesn't really make sense to have several types being # compared to the output of type (like type(x) == int == str) # because whether that's true is solely dependent on what the # types being compared are, so we don't try to narrow types any # further because we can't really get any information about the # type of x from that check return {}, {} else: if isinstance(expr, RefExpr) and isinstance(expr.node, TypeInfo): is_final = expr.node.is_final type_being_compared = current_type if not exprs_in_type_calls: return {}, {} if_maps: list[TypeMap] = [] else_maps: list[TypeMap] = [] for expr in exprs_in_type_calls: current_if_type, current_else_type = self.conditional_types_with_intersection( self.lookup_type(expr), type_being_compared, expr ) current_if_map, current_else_map = conditional_types_to_typemaps( expr, current_if_type, current_else_type ) if_maps.append(current_if_map) else_maps.append(current_else_map) def combine_maps(list_maps: list[TypeMap]) -> TypeMap: """Combine all typemaps in list_maps into one typemap""" if all(m is None for m in list_maps): return None result_map = {} for d in list_maps: if d is not None: result_map.update(d) return result_map if_map = combine_maps(if_maps) # type(x) == T is only true when x has the same type as T, meaning # that it can be false if x is an instance of a subclass of T. That means # we can't do any narrowing in the else case unless T is final, in which # case T can't be subclassed if is_final: else_map = combine_maps(else_maps) else: else_map = {} return if_map, else_map def find_isinstance_check( self, node: Expression, *, in_boolean_context: bool = True ) -> tuple[TypeMap, TypeMap]: """Find any isinstance checks (within a chain of ands). Includes implicit and explicit checks for None and calls to callable. Also includes TypeGuard and TypeIs functions. Return value is a map of variables to their types if the condition is true and a map of variables to their types if the condition is false. If either of the values in the tuple is None, then that particular branch can never occur. If `in_boolean_context=True` is passed, it means that we handle a walrus expression. We treat rhs values in expressions like `(a := A())` specially: for example, some errors are suppressed. May return {}, {}. Can return None, None in situations involving NoReturn. """ if_map, else_map = self.find_isinstance_check_helper( node, in_boolean_context=in_boolean_context ) new_if_map = self.propagate_up_typemap_info(if_map) new_else_map = self.propagate_up_typemap_info(else_map) return new_if_map, new_else_map def find_isinstance_check_helper( self, node: Expression, *, in_boolean_context: bool = True ) -> tuple[TypeMap, TypeMap]: if is_true_literal(node): return {}, None if is_false_literal(node): return None, {} if isinstance(node, CallExpr) and len(node.args) != 0: expr = collapse_walrus(node.args[0]) if refers_to_fullname(node.callee, "builtins.isinstance"): if len(node.args) != 2: # the error will be reported elsewhere return {}, {} if literal(expr) == LITERAL_TYPE: return conditional_types_to_typemaps( expr, *self.conditional_types_with_intersection( self.lookup_type(expr), self.get_isinstance_type(node.args[1]), expr ), ) elif refers_to_fullname(node.callee, "builtins.issubclass"): if len(node.args) != 2: # the error will be reported elsewhere return {}, {} if literal(expr) == LITERAL_TYPE: return self.infer_issubclass_maps(node, expr) elif refers_to_fullname(node.callee, "builtins.callable"): if len(node.args) != 1: # the error will be reported elsewhere return {}, {} if literal(expr) == LITERAL_TYPE: vartype = self.lookup_type(expr) return self.conditional_callable_type_map(expr, vartype) elif refers_to_fullname(node.callee, "builtins.hasattr"): if len(node.args) != 2: # the error will be reported elsewhere return {}, {} attr = try_getting_str_literals(node.args[1], self.lookup_type(node.args[1])) if literal(expr) == LITERAL_TYPE and attr and len(attr) == 1: return self.hasattr_type_maps(expr, self.lookup_type(expr), attr[0]) else: type_is, type_guard = None, None called_type = self.lookup_type_or_none(node.callee) if called_type is not None: called_type = get_proper_type(called_type) # TODO: there are some more cases in check_call() to handle. # If the callee is an instance, try to extract TypeGuard/TypeIs from its __call__ method. if isinstance(called_type, Instance): call = find_member("__call__", called_type, called_type, is_operator=True) if call is not None: called_type = get_proper_type(call) if isinstance(called_type, CallableType): type_is, type_guard = called_type.type_is, called_type.type_guard # If the callee is a RefExpr, extract TypeGuard/TypeIs directly. if isinstance(node.callee, RefExpr): type_is, type_guard = node.callee.type_is, node.callee.type_guard if type_guard is not None or type_is is not None: # TODO: Follow *args, **kwargs if node.arg_kinds[0] != nodes.ARG_POS: # *assuming* the overloaded function is correct, there's a couple cases: # 1) The first argument has different names, but is pos-only. We don't # care about this case, the argument must be passed positionally. # 2) The first argument allows keyword reference, therefore must be the # same between overloads. if isinstance(called_type, (CallableType, Overloaded)): name = called_type.items[0].arg_names[0] if name in node.arg_names: idx = node.arg_names.index(name) # we want the idx-th variable to be narrowed expr = collapse_walrus(node.args[idx]) else: kind = "guard" if type_guard is not None else "narrower" self.fail( message_registry.TYPE_GUARD_POS_ARG_REQUIRED.format(kind), node ) return {}, {} if literal(expr) == LITERAL_TYPE: # Note: we wrap the target type, so that we can special case later. # Namely, for isinstance() we use a normal meet, while TypeGuard is # considered "always right" (i.e. even if the types are not overlapping). # Also note that a care must be taken to unwrap this back at read places # where we use this to narrow down declared type. if type_guard is not None: return {expr: TypeGuardedType(type_guard)}, {} else: assert type_is is not None return conditional_types_to_typemaps( expr, *self.conditional_types_with_intersection( self.lookup_type(expr), [TypeRange(type_is, is_upper_bound=False)], expr, consider_runtime_isinstance=False, ), ) elif isinstance(node, ComparisonExpr): return self.comparison_type_narrowing_helper(node) elif isinstance(node, AssignmentExpr): if_map: dict[Expression, Type] | None else_map: dict[Expression, Type] | None if_map = {} else_map = {} if_assignment_map, else_assignment_map = self.find_isinstance_check(node.target) if if_assignment_map is not None: if_map.update(if_assignment_map) if else_assignment_map is not None: else_map.update(else_assignment_map) if_condition_map, else_condition_map = self.find_isinstance_check( node.value, in_boolean_context=False ) if if_condition_map is not None: if_map.update(if_condition_map) if else_condition_map is not None: else_map.update(else_condition_map) return ( (None if if_assignment_map is None or if_condition_map is None else if_map), (None if else_assignment_map is None or else_condition_map is None else else_map), ) elif isinstance(node, OpExpr) and node.op == "and": left_if_vars, left_else_vars = self.find_isinstance_check(node.left) right_if_vars, right_else_vars = self.find_isinstance_check(node.right) # (e1 and e2) is true if both e1 and e2 are true, # and false if at least one of e1 and e2 is false. return ( and_conditional_maps(left_if_vars, right_if_vars), # Note that if left else type is Any, we can't add any additional # types to it, since the right maps were computed assuming # the left is True, which may be not the case in the else branch. or_conditional_maps(left_else_vars, right_else_vars, coalesce_any=True), ) elif isinstance(node, OpExpr) and node.op == "or": left_if_vars, left_else_vars = self.find_isinstance_check(node.left) right_if_vars, right_else_vars = self.find_isinstance_check(node.right) # (e1 or e2) is true if at least one of e1 or e2 is true, # and false if both e1 and e2 are false. return ( or_conditional_maps(left_if_vars, right_if_vars), and_conditional_maps(left_else_vars, right_else_vars), ) elif isinstance(node, UnaryExpr) and node.op == "not": left, right = self.find_isinstance_check(node.expr) return right, left elif ( literal(node) == LITERAL_TYPE and self.has_type(node) and self.can_be_narrowed_with_len(self.lookup_type(node)) # Only translate `if x` to `if len(x) > 0` when possible. and not custom_special_method(self.lookup_type(node), "__bool__") and self.options.strict_optional ): # Combine a `len(x) > 0` check with the default logic below. yes_type, no_type = self.narrow_with_len(self.lookup_type(node), ">", 0) if yes_type is not None: yes_type = true_only(yes_type) else: yes_type = UninhabitedType() if no_type is not None: no_type = false_only(no_type) else: no_type = UninhabitedType() if_map = {node: yes_type} if not isinstance(yes_type, UninhabitedType) else None else_map = {node: no_type} if not isinstance(no_type, UninhabitedType) else None return if_map, else_map # Restrict the type of the variable to True-ish/False-ish in the if and else branches # respectively original_vartype = self.lookup_type(node) if in_boolean_context: # We don't check `:=` values in expressions like `(a := A())`, # because they produce two error messages. self.check_for_truthy_type(original_vartype, node) vartype = try_expanding_sum_type_to_union(original_vartype, "builtins.bool") if_type = true_only(vartype) else_type = false_only(vartype) if_map = {node: if_type} if not isinstance(if_type, UninhabitedType) else None else_map = {node: else_type} if not isinstance(else_type, UninhabitedType) else None return if_map, else_map def comparison_type_narrowing_helper(self, node: ComparisonExpr) -> tuple[TypeMap, TypeMap]: """Infer type narrowing from a comparison expression.""" # Step 1: Obtain the types of each operand and whether or not we can # narrow their types. (For example, we shouldn't try narrowing the # types of literal string or enum expressions). operands = [collapse_walrus(x) for x in node.operands] operand_types = [] narrowable_operand_index_to_hash = {} for i, expr in enumerate(operands): if not self.has_type(expr): return {}, {} expr_type = self.lookup_type(expr) operand_types.append(expr_type) if ( literal(expr) == LITERAL_TYPE and not is_literal_none(expr) and not self.is_literal_enum(expr) ): h = literal_hash(expr) if h is not None: narrowable_operand_index_to_hash[i] = h # Step 2: Group operands chained by either the 'is' or '==' operands # together. For all other operands, we keep them in groups of size 2. # So the expression: # # x0 == x1 == x2 < x3 < x4 is x5 is x6 is not x7 is not x8 # # ...is converted into the simplified operator list: # # [("==", [0, 1, 2]), ("<", [2, 3]), ("<", [3, 4]), # ("is", [4, 5, 6]), ("is not", [6, 7]), ("is not", [7, 8])] # # We group identity/equality expressions so we can propagate information # we discover about one operand across the entire chain. We don't bother # handling 'is not' and '!=' chains in a special way: those are very rare # in practice. simplified_operator_list = group_comparison_operands( node.pairwise(), narrowable_operand_index_to_hash, {"==", "is"} ) # Step 3: Analyze each group and infer more precise type maps for each # assignable operand, if possible. We combine these type maps together # in the final step. partial_type_maps = [] for operator, expr_indices in simplified_operator_list: if operator in {"is", "is not", "==", "!="}: if_map, else_map = self.equality_type_narrowing_helper( node, operator, operands, operand_types, expr_indices, narrowable_operand_index_to_hash, ) elif operator in {"in", "not in"}: assert len(expr_indices) == 2 left_index, right_index = expr_indices item_type = operand_types[left_index] iterable_type = operand_types[right_index] if_map, else_map = {}, {} if left_index in narrowable_operand_index_to_hash: # We only try and narrow away 'None' for now if is_overlapping_none(item_type): collection_item_type = get_proper_type(builtin_item_type(iterable_type)) if ( collection_item_type is not None and not is_overlapping_none(collection_item_type) and not ( isinstance(collection_item_type, Instance) and collection_item_type.type.fullname == "builtins.object" ) and is_overlapping_erased_types(item_type, collection_item_type) ): if_map[operands[left_index]] = remove_optional(item_type) if right_index in narrowable_operand_index_to_hash: if_type, else_type = self.conditional_types_for_iterable( item_type, iterable_type ) expr = operands[right_index] if if_type is None: if_map = None else: if_map[expr] = if_type if else_type is None: else_map = None else: else_map[expr] = else_type else: if_map = {} else_map = {} if operator in {"is not", "!=", "not in"}: if_map, else_map = else_map, if_map partial_type_maps.append((if_map, else_map)) # If we have found non-trivial restrictions from the regular comparisons, # then return soon. Otherwise try to infer restrictions involving `len(x)`. # TODO: support regular and len() narrowing in the same chain. if any(m != ({}, {}) for m in partial_type_maps): return reduce_conditional_maps(partial_type_maps) else: # Use meet for `and` maps to get correct results for chained checks # like `if 1 < len(x) < 4: ...` return reduce_conditional_maps(self.find_tuple_len_narrowing(node), use_meet=True) def equality_type_narrowing_helper( self, node: ComparisonExpr, operator: str, operands: list[Expression], operand_types: list[Type], expr_indices: list[int], narrowable_operand_index_to_hash: dict[int, tuple[Key, ...]], ) -> tuple[TypeMap, TypeMap]: """Calculate type maps for '==', '!=', 'is' or 'is not' expression.""" # is_valid_target: # Controls which types we're allowed to narrow exprs to. Note that # we cannot use 'is_literal_type_like' in both cases since doing # 'x = 10000 + 1; x is 10001' is not always True in all Python # implementations. # # coerce_only_in_literal_context: # If true, coerce types into literal types only if one or more of # the provided exprs contains an explicit Literal type. This could # technically be set to any arbitrary value, but it seems being liberal # with narrowing when using 'is' and conservative when using '==' seems # to break the least amount of real-world code. # # should_narrow_by_identity: # Set to 'false' only if the user defines custom __eq__ or __ne__ methods # that could cause identity-based narrowing to produce invalid results. if operator in {"is", "is not"}: is_valid_target: Callable[[Type], bool] = is_singleton_type coerce_only_in_literal_context = False should_narrow_by_identity = True else: def is_exactly_literal_type(t: Type) -> bool: return isinstance(get_proper_type(t), LiteralType) def has_no_custom_eq_checks(t: Type) -> bool: return not custom_special_method( t, "__eq__", check_all=False ) and not custom_special_method(t, "__ne__", check_all=False) is_valid_target = is_exactly_literal_type coerce_only_in_literal_context = True expr_types = [operand_types[i] for i in expr_indices] should_narrow_by_identity = all( map(has_no_custom_eq_checks, expr_types) ) and not is_ambiguous_mix_of_enums(expr_types) if_map: TypeMap = {} else_map: TypeMap = {} if should_narrow_by_identity: if_map, else_map = self.refine_identity_comparison_expression( operands, operand_types, expr_indices, narrowable_operand_index_to_hash.keys(), is_valid_target, coerce_only_in_literal_context, ) if if_map == {} and else_map == {}: if_map, else_map = self.refine_away_none_in_comparison( operands, operand_types, expr_indices, narrowable_operand_index_to_hash.keys() ) # If we haven't been able to narrow types yet, we might be dealing with a # explicit type(x) == some_type check if if_map == {} and else_map == {}: if_map, else_map = self.find_type_equals_check(node, expr_indices) return if_map, else_map def propagate_up_typemap_info(self, new_types: TypeMap) -> TypeMap: """Attempts refining parent expressions of any MemberExpr or IndexExprs in new_types. Specifically, this function accepts two mappings of expression to original types: the original mapping (existing_types), and a new mapping (new_types) intended to update the original. This function iterates through new_types and attempts to use the information to try refining any parent types that happen to be unions. For example, suppose there are two types "A = Tuple[int, int]" and "B = Tuple[str, str]". Next, suppose that 'new_types' specifies the expression 'foo[0]' has a refined type of 'int' and that 'foo' was previously deduced to be of type Union[A, B]. Then, this function will observe that since A[0] is an int and B[0] is not, the type of 'foo' can be further refined from Union[A, B] into just B. We perform this kind of "parent narrowing" for member lookup expressions and indexing expressions into tuples, namedtuples, and typeddicts. We repeat this narrowing recursively if the parent is also a "lookup expression". So for example, if we have the expression "foo['bar'].baz[0]", we'd potentially end up refining types for the expressions "foo", "foo['bar']", and "foo['bar'].baz". We return the newly refined map. This map is guaranteed to be a superset of 'new_types'. """ if new_types is None: return None output_map = {} for expr, expr_type in new_types.items(): # The original inferred type should always be present in the output map, of course output_map[expr] = expr_type # Next, try using this information to refine the parent types, if applicable. new_mapping = self.refine_parent_types(expr, expr_type) for parent_expr, proposed_parent_type in new_mapping.items(): # We don't try inferring anything if we've already inferred something for # the parent expression. # TODO: Consider picking the narrower type instead of always discarding this? if parent_expr in new_types: continue output_map[parent_expr] = proposed_parent_type return output_map def refine_parent_types(self, expr: Expression, expr_type: Type) -> Mapping[Expression, Type]: """Checks if the given expr is a 'lookup operation' into a union and iteratively refines the parent types based on the 'expr_type'. For example, if 'expr' is an expression like 'a.b.c.d', we'll potentially return refined types for expressions 'a', 'a.b', and 'a.b.c'. For more details about what a 'lookup operation' is and how we use the expr_type to refine the parent types of lookup_expr, see the docstring in 'propagate_up_typemap_info'. """ output: dict[Expression, Type] = {} # Note: parent_expr and parent_type are progressively refined as we crawl up the # parent lookup chain. while True: # First, check if this expression is one that's attempting to # "lookup" some key in the parent type. If so, save the parent type # and create function that will try replaying the same lookup # operation against arbitrary types. if isinstance(expr, MemberExpr): parent_expr = self._propagate_walrus_assignments(expr.expr, output) parent_type = self.lookup_type_or_none(parent_expr) member_name = expr.name def replay_lookup(new_parent_type: ProperType) -> Type | None: with self.msg.filter_errors() as w: member_type = analyze_member_access( name=member_name, typ=new_parent_type, context=parent_expr, is_lvalue=False, is_super=False, is_operator=False, original_type=new_parent_type, chk=self, in_literal_context=False, ) if w.has_new_errors(): return None else: return member_type elif isinstance(expr, IndexExpr): parent_expr = self._propagate_walrus_assignments(expr.base, output) parent_type = self.lookup_type_or_none(parent_expr) self._propagate_walrus_assignments(expr.index, output) index_type = self.lookup_type_or_none(expr.index) if index_type is None: return output str_literals = try_getting_str_literals_from_type(index_type) if str_literals is not None: # Refactoring these two indexing replay functions is surprisingly # tricky -- see https://github.com/python/mypy/pull/7917, which # was blocked by https://github.com/mypyc/mypyc/issues/586 def replay_lookup(new_parent_type: ProperType) -> Type | None: if not isinstance(new_parent_type, TypedDictType): return None try: assert str_literals is not None member_types = [new_parent_type.items[key] for key in str_literals] except KeyError: return None return make_simplified_union(member_types) else: int_literals = try_getting_int_literals_from_type(index_type) if int_literals is not None: def replay_lookup(new_parent_type: ProperType) -> Type | None: if not isinstance(new_parent_type, TupleType): return None try: assert int_literals is not None member_types = [new_parent_type.items[key] for key in int_literals] except IndexError: return None return make_simplified_union(member_types) else: return output else: return output # If we somehow didn't previously derive the parent type, abort completely # with what we have so far: something went wrong at an earlier stage. if parent_type is None: return output # We currently only try refining the parent type if it's a Union. # If not, there's no point in trying to refine any further parents # since we have no further information we can use to refine the lookup # chain, so we end early as an optimization. parent_type = get_proper_type(parent_type) if not isinstance(parent_type, UnionType): return output # Take each element in the parent union and replay the original lookup procedure # to figure out which parents are compatible. new_parent_types = [] for item in flatten_nested_unions(parent_type.items): member_type = replay_lookup(get_proper_type(item)) if member_type is None: # We were unable to obtain the member type. So, we give up on refining this # parent type entirely and abort. return output if is_overlapping_types(member_type, expr_type): new_parent_types.append(item) # If none of the parent types overlap (if we derived an empty union), something # went wrong. We should never hit this case, but deriving the uninhabited type or # reporting an error both seem unhelpful. So we abort. if not new_parent_types: return output expr = parent_expr expr_type = output[parent_expr] = make_simplified_union(new_parent_types) def _propagate_walrus_assignments( self, expr: Expression, type_map: dict[Expression, Type] ) -> Expression: """Add assignments from walrus expressions to inferred types. Only considers nested assignment exprs, does not recurse into other types. This may be added later if necessary by implementing a dedicated visitor. """ if isinstance(expr, AssignmentExpr): if isinstance(expr.value, AssignmentExpr): self._propagate_walrus_assignments(expr.value, type_map) assigned_type = self.lookup_type_or_none(expr.value) parent_expr = collapse_walrus(expr) if assigned_type is not None: type_map[parent_expr] = assigned_type return parent_expr return expr def refine_identity_comparison_expression( self, operands: list[Expression], operand_types: list[Type], chain_indices: list[int], narrowable_operand_indices: AbstractSet[int], is_valid_target: Callable[[ProperType], bool], coerce_only_in_literal_context: bool, ) -> tuple[TypeMap, TypeMap]: """Produce conditional type maps refining expressions by an identity/equality comparison. The 'operands' and 'operand_types' lists should be the full list of operands used in the overall comparison expression. The 'chain_indices' list is the list of indices actually used within this identity comparison chain. So if we have the expression: a <= b is c is d <= e ...then 'operands' and 'operand_types' would be lists of length 5 and 'chain_indices' would be the list [1, 2, 3]. The 'narrowable_operand_indices' parameter is the set of all indices we are allowed to refine the types of: that is, all operands that will potentially be a part of the output TypeMaps. Although this function could theoretically try setting the types of the operands in the chains to the meet, doing that causes too many issues in real-world code. Instead, we use 'is_valid_target' to identify which of the given chain types we could plausibly use as the refined type for the expressions in the chain. Similarly, 'coerce_only_in_literal_context' controls whether we should try coercing expressions in the chain to a Literal type. Performing this coercion is sometimes too aggressive of a narrowing, depending on context. """ should_coerce = True if coerce_only_in_literal_context: def should_coerce_inner(typ: Type) -> bool: typ = get_proper_type(typ) return is_literal_type_like(typ) or ( isinstance(typ, Instance) and typ.type.is_enum ) should_coerce = any(should_coerce_inner(operand_types[i]) for i in chain_indices) target: Type | None = None possible_target_indices = [] for i in chain_indices: expr_type = operand_types[i] if should_coerce: expr_type = coerce_to_literal(expr_type) if not is_valid_target(get_proper_type(expr_type)): continue if target and not is_same_type(target, expr_type): # We have multiple disjoint target types. So the 'if' branch # must be unreachable. return None, {} target = expr_type possible_target_indices.append(i) # There's nothing we can currently infer if none of the operands are valid targets, # so we end early and infer nothing. if target is None: return {}, {} # If possible, use an unassignable expression as the target. # We skip refining the type of the target below, so ideally we'd # want to pick an expression we were going to skip anyways. singleton_index = -1 for i in possible_target_indices: if i not in narrowable_operand_indices: singleton_index = i # But if none of the possible singletons are unassignable ones, we give up # and arbitrarily pick the last item, mostly because other parts of the # type narrowing logic bias towards picking the rightmost item and it'd be # nice to stay consistent. # # That said, it shouldn't matter which index we pick. For example, suppose we # have this if statement, where 'x' and 'y' both have singleton types: # # if x is y: # reveal_type(x) # reveal_type(y) # else: # reveal_type(x) # reveal_type(y) # # At this point, 'x' and 'y' *must* have the same singleton type: we would have # ended early in the first for-loop in this function if they weren't. # # So, we should always get the same result in the 'if' case no matter which # index we pick. And while we do end up getting different results in the 'else' # case depending on the index (e.g. if we pick 'y', then its type stays the same # while 'x' is narrowed to ''), this distinction is also moot: mypy # currently will just mark the whole branch as unreachable if either operand is # narrowed to . if singleton_index == -1: singleton_index = possible_target_indices[-1] sum_type_name = None target = get_proper_type(target) if isinstance(target, LiteralType) and ( target.is_enum_literal() or isinstance(target.value, bool) ): sum_type_name = target.fallback.type.fullname target_type = [TypeRange(target, is_upper_bound=False)] partial_type_maps = [] for i in chain_indices: # If we try refining a type against itself, conditional_type_map # will end up assuming that the 'else' branch is unreachable. This is # typically not what we want: generally the user will intend for the # target type to be some fixed 'sentinel' value and will want to refine # the other exprs against this one instead. if i == singleton_index: continue # Naturally, we can't refine operands which are not permitted to be refined. if i not in narrowable_operand_indices: continue expr = operands[i] expr_type = coerce_to_literal(operand_types[i]) if sum_type_name is not None: expr_type = try_expanding_sum_type_to_union(expr_type, sum_type_name) # We intentionally use 'conditional_types' directly here instead of # 'self.conditional_types_with_intersection': we only compute ad-hoc # intersections when working with pure instances. types = conditional_types(expr_type, target_type) partial_type_maps.append(conditional_types_to_typemaps(expr, *types)) return reduce_conditional_maps(partial_type_maps) def refine_away_none_in_comparison( self, operands: list[Expression], operand_types: list[Type], chain_indices: list[int], narrowable_operand_indices: AbstractSet[int], ) -> tuple[TypeMap, TypeMap]: """Produces conditional type maps refining away None in an identity/equality chain. For more details about what the different arguments mean, see the docstring of 'refine_identity_comparison_expression' up above. """ non_optional_types = [] for i in chain_indices: typ = operand_types[i] if not is_overlapping_none(typ): non_optional_types.append(typ) if_map, else_map = {}, {} if not non_optional_types or (len(non_optional_types) != len(chain_indices)): # Narrow e.g. `Optional[A] == "x"` or `Optional[A] is "x"` to `A` (which may be # convenient but is strictly not type-safe): for i in narrowable_operand_indices: expr_type = operand_types[i] if not is_overlapping_none(expr_type): continue if any(is_overlapping_erased_types(expr_type, t) for t in non_optional_types): if_map[operands[i]] = remove_optional(expr_type) # Narrow e.g. `Optional[A] != None` to `A` (which is stricter than the above step and # so type-safe but less convenient, because e.g. `Optional[A] == None` still results # in `Optional[A]`): if any(isinstance(get_proper_type(ot), NoneType) for ot in operand_types): for i in narrowable_operand_indices: expr_type = operand_types[i] if is_overlapping_none(expr_type): else_map[operands[i]] = remove_optional(expr_type) return if_map, else_map def is_len_of_tuple(self, expr: Expression) -> bool: """Is this expression a `len(x)` call where x is a tuple or union of tuples?""" if not isinstance(expr, CallExpr): return False if not refers_to_fullname(expr.callee, "builtins.len"): return False if len(expr.args) != 1: return False expr = expr.args[0] if literal(expr) != LITERAL_TYPE: return False if not self.has_type(expr): return False return self.can_be_narrowed_with_len(self.lookup_type(expr)) def can_be_narrowed_with_len(self, typ: Type) -> bool: """Is this a type that can benefit from length check type restrictions? Currently supported types are TupleTypes, Instances of builtins.tuple, and unions involving such types. """ if custom_special_method(typ, "__len__"): # If user overrides builtin behavior, we can't do anything. return False p_typ = get_proper_type(typ) # Note: we are conservative about tuple subclasses, because some code may rely on # the fact that tuple_type of fallback TypeInfo matches the original TupleType. if isinstance(p_typ, TupleType): if any(isinstance(t, UnpackType) for t in p_typ.items): return p_typ.partial_fallback.type.fullname == "builtins.tuple" return True if isinstance(p_typ, Instance): return p_typ.type.has_base("builtins.tuple") if isinstance(p_typ, UnionType): return any(self.can_be_narrowed_with_len(t) for t in p_typ.items) return False def literal_int_expr(self, expr: Expression) -> int | None: """Is this expression an int literal, or a reference to an int constant? If yes, return the corresponding int value, otherwise return None. """ if not self.has_type(expr): return None expr_type = self.lookup_type(expr) expr_type = coerce_to_literal(expr_type) proper_type = get_proper_type(expr_type) if not isinstance(proper_type, LiteralType): return None if not isinstance(proper_type.value, int): return None return proper_type.value def find_tuple_len_narrowing(self, node: ComparisonExpr) -> list[tuple[TypeMap, TypeMap]]: """Top-level logic to find type restrictions from a length check on tuples. We try to detect `if` checks like the following: x: tuple[int, int] | tuple[int, int, int] y: tuple[int, int] | tuple[int, int, int] if len(x) == len(y) == 2: a, b = x # OK c, d = y # OK z: tuple[int, ...] if 1 < len(z) < 4: x = z # OK and report corresponding type restrictions to the binder. """ # First step: group consecutive `is` and `==` comparisons together. # This is essentially a simplified version of group_comparison_operands(), # tuned to the len()-like checks. Note that we don't propagate indirect # restrictions like e.g. `len(x) > foo() > 1` yet, since it is tricky. # TODO: propagate indirect len() comparison restrictions. chained = [] last_group = set() for op, left, right in node.pairwise(): if isinstance(left, AssignmentExpr): left = left.value if isinstance(right, AssignmentExpr): right = right.value if op in ("is", "=="): last_group.add(left) last_group.add(right) else: if last_group: chained.append(("==", list(last_group))) last_group = set() if op in {"is not", "!=", "<", "<=", ">", ">="}: chained.append((op, [left, right])) if last_group: chained.append(("==", list(last_group))) # Second step: infer type restrictions from each group found above. type_maps = [] for op, items in chained: # TODO: support unions of literal types as len() comparison targets. if not any(self.literal_int_expr(it) is not None for it in items): continue if not any(self.is_len_of_tuple(it) for it in items): continue # At this step we know there is at least one len(x) and one literal in the group. if op in ("is", "=="): literal_values = set() tuples = [] for it in items: lit = self.literal_int_expr(it) if lit is not None: literal_values.add(lit) continue if self.is_len_of_tuple(it): assert isinstance(it, CallExpr) tuples.append(it.args[0]) if len(literal_values) > 1: # More than one different literal value found, like 1 == len(x) == 2, # so the corresponding branch is unreachable. return [(None, {})] size = literal_values.pop() if size > MAX_PRECISE_TUPLE_SIZE: # Avoid creating huge tuples from checks like if len(x) == 300. continue for tpl in tuples: yes_type, no_type = self.narrow_with_len(self.lookup_type(tpl), op, size) yes_map = None if yes_type is None else {tpl: yes_type} no_map = None if no_type is None else {tpl: no_type} type_maps.append((yes_map, no_map)) else: left, right = items if self.is_len_of_tuple(right): # Normalize `1 < len(x)` and similar as `len(x) > 1`. left, right = right, left op = flip_ops.get(op, op) r_size = self.literal_int_expr(right) assert r_size is not None if r_size > MAX_PRECISE_TUPLE_SIZE: # Avoid creating huge unions from checks like if len(x) > 300. continue assert isinstance(left, CallExpr) yes_type, no_type = self.narrow_with_len( self.lookup_type(left.args[0]), op, r_size ) yes_map = None if yes_type is None else {left.args[0]: yes_type} no_map = None if no_type is None else {left.args[0]: no_type} type_maps.append((yes_map, no_map)) return type_maps def narrow_with_len(self, typ: Type, op: str, size: int) -> tuple[Type | None, Type | None]: """Dispatch tuple type narrowing logic depending on the kind of type we got.""" typ = get_proper_type(typ) if isinstance(typ, TupleType): return self.refine_tuple_type_with_len(typ, op, size) elif isinstance(typ, Instance): return self.refine_instance_type_with_len(typ, op, size) elif isinstance(typ, UnionType): yes_types = [] no_types = [] other_types = [] for t in typ.items: if not self.can_be_narrowed_with_len(t): other_types.append(t) continue yt, nt = self.narrow_with_len(t, op, size) if yt is not None: yes_types.append(yt) if nt is not None: no_types.append(nt) yes_types += other_types no_types += other_types if yes_types: yes_type = make_simplified_union(yes_types) else: yes_type = None if no_types: no_type = make_simplified_union(no_types) else: no_type = None return yes_type, no_type else: assert False, "Unsupported type for len narrowing" def refine_tuple_type_with_len( self, typ: TupleType, op: str, size: int ) -> tuple[Type | None, Type | None]: """Narrow a TupleType using length restrictions.""" unpack_index = find_unpack_in_list(typ.items) if unpack_index is None: # For fixed length tuple situation is trivial, it is either reachable or not, # depending on the current length, expected length, and the comparison op. method = int_op_to_method[op] if method(typ.length(), size): return typ, None return None, typ unpack = typ.items[unpack_index] assert isinstance(unpack, UnpackType) unpacked = get_proper_type(unpack.type) if isinstance(unpacked, TypeVarTupleType): # For tuples involving TypeVarTuple unpack we can't do much except # inferring reachability, and recording the restrictions on TypeVarTuple # for further "manual" use elsewhere. min_len = typ.length() - 1 + unpacked.min_len if op in ("==", "is"): if min_len <= size: return typ, typ return None, typ elif op in ("<", "<="): if op == "<=": size += 1 if min_len < size: prefix = typ.items[:unpack_index] suffix = typ.items[unpack_index + 1 :] # TODO: also record max_len to avoid false negatives? unpack = UnpackType(unpacked.copy_modified(min_len=size - typ.length() + 1)) return typ, typ.copy_modified(items=prefix + [unpack] + suffix) return None, typ else: yes_type, no_type = self.refine_tuple_type_with_len(typ, neg_ops[op], size) return no_type, yes_type # Homogeneous variadic item is the case where we are most flexible. Essentially, # we adjust the variadic item by "eating away" from it to satisfy the restriction. assert isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" min_len = typ.length() - 1 arg = unpacked.args[0] prefix = typ.items[:unpack_index] suffix = typ.items[unpack_index + 1 :] if op in ("==", "is"): if min_len <= size: # TODO: return fixed union + prefixed variadic tuple for no_type? return typ.copy_modified(items=prefix + [arg] * (size - min_len) + suffix), typ return None, typ elif op in ("<", "<="): if op == "<=": size += 1 if min_len < size: # Note: there is some ambiguity w.r.t. to where to put the additional # items: before or after the unpack. However, such types are equivalent, # so we always put them before for consistency. no_type = typ.copy_modified( items=prefix + [arg] * (size - min_len) + [unpack] + suffix ) yes_items = [] for n in range(size - min_len): yes_items.append(typ.copy_modified(items=prefix + [arg] * n + suffix)) return UnionType.make_union(yes_items, typ.line, typ.column), no_type return None, typ else: yes_type, no_type = self.refine_tuple_type_with_len(typ, neg_ops[op], size) return no_type, yes_type def refine_instance_type_with_len( self, typ: Instance, op: str, size: int ) -> tuple[Type | None, Type | None]: """Narrow a homogeneous tuple using length restrictions.""" base = map_instance_to_supertype(typ, self.lookup_typeinfo("builtins.tuple")) arg = base.args[0] # Again, we are conservative about subclasses until we gain more confidence. allow_precise = ( PRECISE_TUPLE_TYPES in self.options.enable_incomplete_feature ) and typ.type.fullname == "builtins.tuple" if op in ("==", "is"): # TODO: return fixed union + prefixed variadic tuple for no_type? return TupleType(items=[arg] * size, fallback=typ), typ elif op in ("<", "<="): if op == "<=": size += 1 if allow_precise: unpack = UnpackType(self.named_generic_type("builtins.tuple", [arg])) no_type: Type | None = TupleType(items=[arg] * size + [unpack], fallback=typ) else: no_type = typ if allow_precise: items = [] for n in range(size): items.append(TupleType([arg] * n, fallback=typ)) yes_type: Type | None = UnionType.make_union(items, typ.line, typ.column) else: yes_type = typ return yes_type, no_type else: yes_type, no_type = self.refine_instance_type_with_len(typ, neg_ops[op], size) return no_type, yes_type # # Helpers # @overload def check_subtype( self, subtype: Type, supertype: Type, context: Context, msg: str, subtype_label: str | None = None, supertype_label: str | None = None, *, notes: list[str] | None = None, code: ErrorCode | None = None, outer_context: Context | None = None, ) -> bool: ... @overload def check_subtype( self, subtype: Type, supertype: Type, context: Context, msg: ErrorMessage, subtype_label: str | None = None, supertype_label: str | None = None, *, notes: list[str] | None = None, outer_context: Context | None = None, ) -> bool: ... def check_subtype( self, subtype: Type, supertype: Type, context: Context, msg: str | ErrorMessage, subtype_label: str | None = None, supertype_label: str | None = None, *, notes: list[str] | None = None, code: ErrorCode | None = None, outer_context: Context | None = None, ) -> bool: """Generate an error if the subtype is not compatible with supertype.""" if is_subtype(subtype, supertype, options=self.options): return True if isinstance(msg, str): msg = ErrorMessage(msg, code=code) if self.msg.prefer_simple_messages(): self.fail(msg, context) # Fast path -- skip all fancy logic return False orig_subtype = subtype subtype = get_proper_type(subtype) orig_supertype = supertype supertype = get_proper_type(supertype) if self.msg.try_report_long_tuple_assignment_error( subtype, supertype, context, msg, subtype_label, supertype_label ): return False extra_info: list[str] = [] note_msg = "" notes = notes or [] if subtype_label is not None or supertype_label is not None: subtype_str, supertype_str = format_type_distinctly( orig_subtype, orig_supertype, options=self.options ) if subtype_label is not None: extra_info.append(subtype_label + " " + subtype_str) if supertype_label is not None: extra_info.append(supertype_label + " " + supertype_str) note_msg = make_inferred_type_note( outer_context or context, subtype, supertype, supertype_str ) if isinstance(subtype, Instance) and isinstance(supertype, Instance): notes = append_invariance_notes(notes, subtype, supertype) if isinstance(subtype, UnionType) and isinstance(supertype, UnionType): notes = append_union_note(notes, subtype, supertype, self.options) if extra_info: msg = msg.with_additional_msg(" (" + ", ".join(extra_info) + ")") error = self.fail(msg, context) for note in notes: self.msg.note(note, context, code=msg.code) if note_msg: self.note(note_msg, context, code=msg.code) self.msg.maybe_note_concatenate_pos_args(subtype, supertype, context, code=msg.code) if ( isinstance(supertype, Instance) and supertype.type.is_protocol and isinstance(subtype, (CallableType, Instance, TupleType, TypedDictType, TypeType)) ): self.msg.report_protocol_problems(subtype, supertype, context, parent_error=error) if isinstance(supertype, CallableType) and isinstance(subtype, Instance): call = find_member("__call__", subtype, subtype, is_operator=True) if call: self.msg.note_call(subtype, call, context, code=msg.code) if isinstance(subtype, (CallableType, Overloaded)) and isinstance(supertype, Instance): if supertype.type.is_protocol and "__call__" in supertype.type.protocol_members: call = find_member("__call__", supertype, subtype, is_operator=True) assert call is not None if not is_subtype(subtype, call, options=self.options): self.msg.note_call(supertype, call, context, code=msg.code) self.check_possible_missing_await(subtype, supertype, context, code=msg.code) return False def get_precise_awaitable_type(self, typ: Type, local_errors: ErrorWatcher) -> Type | None: """If type implements Awaitable[X] with non-Any X, return X. In all other cases return None. This method must be called in context of local_errors. """ if isinstance(get_proper_type(typ), PartialType): # Partial types are special, ignore them here. return None try: aw_type = self.expr_checker.check_awaitable_expr( typ, Context(), "", ignore_binder=True ) except KeyError: # This is a hack to speed up tests by not including Awaitable in all typing stubs. return None if local_errors.has_new_errors(): return None if isinstance(get_proper_type(aw_type), (AnyType, UnboundType)): return None return aw_type @contextmanager def checking_await_set(self) -> Iterator[None]: self.checking_missing_await = True try: yield finally: self.checking_missing_await = False def check_possible_missing_await( self, subtype: Type, supertype: Type, context: Context, code: ErrorCode | None ) -> None: """Check if the given type becomes a subtype when awaited.""" if self.checking_missing_await: # Avoid infinite recursion. return with self.checking_await_set(), self.msg.filter_errors() as local_errors: aw_type = self.get_precise_awaitable_type(subtype, local_errors) if aw_type is None: return if not self.check_subtype( aw_type, supertype, context, msg=message_registry.INCOMPATIBLE_TYPES ): return self.msg.possible_missing_await(context, code) def named_type(self, name: str) -> Instance: """Return an instance type with given name and implicit Any type args. For example, named_type('builtins.object') produces the 'object' type. """ if name == "builtins.str": if instance_cache.str_type is None: instance_cache.str_type = self._named_type(name) return instance_cache.str_type if name == "builtins.function": if instance_cache.function_type is None: instance_cache.function_type = self._named_type(name) return instance_cache.function_type if name == "builtins.int": if instance_cache.int_type is None: instance_cache.int_type = self._named_type(name) return instance_cache.int_type if name == "builtins.bool": if instance_cache.bool_type is None: instance_cache.bool_type = self._named_type(name) return instance_cache.bool_type if name == "builtins.object": if instance_cache.object_type is None: instance_cache.object_type = self._named_type(name) return instance_cache.object_type return self._named_type(name) def _named_type(self, name: str) -> Instance: # Assume that the name refers to a type. sym = self.lookup_qualified(name) node = sym.node if isinstance(node, TypeAlias): assert isinstance(node.target, Instance) # type: ignore[misc] node = node.target.type assert isinstance(node, TypeInfo), node any_type = AnyType(TypeOfAny.from_omitted_generics) return Instance(node, [any_type] * len(node.defn.type_vars)) def named_generic_type(self, name: str, args: list[Type]) -> Instance: """Return an instance with the given name and type arguments. Assume that the number of arguments is correct. Assume that the name refers to a compatible generic type. """ info = self.lookup_typeinfo(name) args = [remove_instance_last_known_values(arg) for arg in args] # TODO: assert len(args) == len(info.defn.type_vars) return Instance(info, args) def lookup_typeinfo(self, fullname: str) -> TypeInfo: # Assume that the name refers to a class. sym = self.lookup_qualified(fullname) node = sym.node assert isinstance(node, TypeInfo), node return node def type_type(self) -> Instance: """Return instance type 'type'.""" return self.named_type("builtins.type") def str_type(self) -> Instance: """Return instance type 'str'.""" return self.named_type("builtins.str") def store_type(self, node: Expression, typ: Type) -> None: """Store the type of a node in the type map.""" self._type_maps[-1][node] = typ def has_type(self, node: Expression) -> bool: return any(node in m for m in reversed(self._type_maps)) def lookup_type_or_none(self, node: Expression) -> Type | None: for m in reversed(self._type_maps): if node in m: return m[node] return None def lookup_type(self, node: Expression) -> Type: for m in reversed(self._type_maps): t = m.get(node) if t is not None: return t raise KeyError(node) def store_types(self, d: dict[Expression, Type]) -> None: self._type_maps[-1].update(d) def in_checked_function(self) -> bool: """Should we type-check the current function? - Yes if --check-untyped-defs is set. - Yes outside functions. - Yes in annotated functions. - No otherwise. """ return ( self.options.check_untyped_defs or not self.dynamic_funcs or not self.dynamic_funcs[-1] ) def lookup(self, name: str) -> SymbolTableNode: """Look up a definition from the symbol table with the given name.""" if name in self.globals: return self.globals[name] else: b = self.globals.get("__builtins__", None) if b: assert isinstance(b.node, MypyFile) table = b.node.names if name in table: return table[name] raise KeyError(f"Failed lookup: {name}") def lookup_qualified(self, name: str) -> SymbolTableNode: if "." not in name: return self.lookup(name) else: parts = name.split(".") n = self.modules[parts[0]] for i in range(1, len(parts) - 1): sym = n.names.get(parts[i]) assert sym is not None, "Internal error: attempted lookup of unknown name" assert isinstance(sym.node, MypyFile) n = sym.node last = parts[-1] if last in n.names: return n.names[last] elif len(parts) == 2 and parts[0] in ("builtins", "typing"): fullname = ".".join(parts) if fullname in SUGGESTED_TEST_FIXTURES: suggestion = ", e.g. add '[{} fixtures/{}]' to your test".format( parts[0], SUGGESTED_TEST_FIXTURES[fullname] ) else: suggestion = "" raise KeyError( "Could not find builtin symbol '{}' (If you are running a " "test case, use a fixture that " "defines this symbol{})".format(last, suggestion) ) else: msg = "Failed qualified lookup: '{}' (fullname = '{}')." raise KeyError(msg.format(last, name)) @contextmanager def enter_partial_types( self, *, is_function: bool = False, is_class: bool = False ) -> Iterator[None]: """Enter a new scope for collecting partial types. Also report errors for (some) variables which still have partial types, i.e. we couldn't infer a complete type. """ is_local = (self.partial_types and self.partial_types[-1].is_local) or is_function self.partial_types.append(PartialTypeScope({}, is_function, is_local)) yield # Don't complain about not being able to infer partials if it is # at the toplevel (with allow_untyped_globals) or if it is in an # untyped function being checked with check_untyped_defs. permissive = (self.options.allow_untyped_globals and not is_local) or ( self.options.check_untyped_defs and self.dynamic_funcs and self.dynamic_funcs[-1] ) partial_types, _, _ = self.partial_types.pop() if not self.current_node_deferred: for var, context in partial_types.items(): # If we require local partial types, there are a few exceptions where # we fall back to inferring just "None" as the type from a None initializer: # # 1. If all happens within a single function this is acceptable, since only # the topmost function is a separate target in fine-grained incremental mode. # We primarily want to avoid "splitting" partial types across targets. # # 2. A None initializer in the class body if the attribute is defined in a base # class is fine, since the attribute is already defined and it's currently okay # to vary the type of an attribute covariantly. The None type will still be # checked for compatibility with base classes elsewhere. Without this exception # mypy could require an annotation for an attribute that already has been # declared in a base class, which would be bad. allow_none = ( not self.options.local_partial_types or is_function or (is_class and self.is_defined_in_base_class(var)) ) if ( allow_none and isinstance(var.type, PartialType) and var.type.type is None and not permissive ): var.type = NoneType() else: if var not in self.partial_reported and not permissive: self.msg.need_annotation_for_var(var, context, self.options) self.partial_reported.add(var) if var.type: fixed = fixup_partial_type(var.type) var.invalid_partial_type = fixed != var.type var.type = fixed def handle_partial_var_type( self, typ: PartialType, is_lvalue: bool, node: Var, context: Context ) -> Type: """Handle a reference to a partial type through a var. (Used by checkexpr and checkmember.) """ in_scope, is_local, partial_types = self.find_partial_types_in_all_scopes(node) if typ.type is None and in_scope: # 'None' partial type. It has a well-defined type. In an lvalue context # we want to preserve the knowledge of it being a partial type. if not is_lvalue: return NoneType() else: return typ else: if partial_types is not None and not self.current_node_deferred: if in_scope: context = partial_types[node] if is_local or not self.options.allow_untyped_globals: self.msg.need_annotation_for_var(node, context, self.options) self.partial_reported.add(node) else: # Defer the node -- we might get a better type in the outer scope self.handle_cannot_determine_type(node.name, context) return fixup_partial_type(typ) def is_defined_in_base_class(self, var: Var) -> bool: if not var.info: return False return var.info.fallback_to_any or any( base.get(var.name) is not None for base in var.info.mro[1:] ) def find_partial_types(self, var: Var) -> dict[Var, Context] | None: """Look for an active partial type scope containing variable. A scope is active if assignments in the current context can refine a partial type originally defined in the scope. This is affected by the local_partial_types configuration option. """ in_scope, _, partial_types = self.find_partial_types_in_all_scopes(var) if in_scope: return partial_types return None def find_partial_types_in_all_scopes( self, var: Var ) -> tuple[bool, bool, dict[Var, Context] | None]: """Look for partial type scope containing variable. Return tuple (is the scope active, is the scope a local scope, scope). """ for scope in reversed(self.partial_types): if var in scope.map: # All scopes within the outermost function are active. Scopes out of # the outermost function are inactive to allow local reasoning (important # for fine-grained incremental mode). disallow_other_scopes = self.options.local_partial_types if isinstance(var.type, PartialType) and var.type.type is not None and var.info: # This is an ugly hack to make partial generic self attributes behave # as if --local-partial-types is always on (because it used to be like this). disallow_other_scopes = True scope_active = ( not disallow_other_scopes or scope.is_local == self.partial_types[-1].is_local ) return scope_active, scope.is_local, scope.map return False, False, None def temp_node(self, t: Type, context: Context | None = None) -> TempNode: """Create a temporary node with the given, fixed type.""" return TempNode(t, context=context) def fail( self, msg: str | ErrorMessage, context: Context, *, code: ErrorCode | None = None ) -> ErrorInfo: """Produce an error message.""" if isinstance(msg, ErrorMessage): return self.msg.fail(msg.value, context, code=msg.code) return self.msg.fail(msg, context, code=code) def note( self, msg: str | ErrorMessage, context: Context, offset: int = 0, *, code: ErrorCode | None = None, ) -> None: """Produce a note.""" if isinstance(msg, ErrorMessage): self.msg.note(msg.value, context, code=msg.code) return self.msg.note(msg, context, offset=offset, code=code) def iterable_item_type( self, it: Instance | CallableType | TypeType | Overloaded, context: Context ) -> Type: if isinstance(it, Instance): iterable = map_instance_to_supertype(it, self.lookup_typeinfo("typing.Iterable")) item_type = iterable.args[0] if not isinstance(get_proper_type(item_type), AnyType): # This relies on 'map_instance_to_supertype' returning 'Iterable[Any]' # in case there is no explicit base class. return item_type # Try also structural typing. return self.analyze_iterable_item_type_without_expression(it, context)[1] def function_type(self, func: FuncBase) -> FunctionLike: return function_type(func, self.named_type("builtins.function")) def push_type_map(self, type_map: TypeMap, *, from_assignment: bool = True) -> None: if type_map is None: self.binder.unreachable() else: for expr, type in type_map.items(): self.binder.put(expr, type, from_assignment=from_assignment) def infer_issubclass_maps(self, node: CallExpr, expr: Expression) -> tuple[TypeMap, TypeMap]: """Infer type restrictions for an expression in issubclass call.""" vartype = self.lookup_type(expr) type = self.get_isinstance_type(node.args[1]) if isinstance(vartype, TypeVarType): vartype = vartype.upper_bound vartype = get_proper_type(vartype) if isinstance(vartype, UnionType): union_list = [] for t in get_proper_types(vartype.items): if isinstance(t, TypeType): union_list.append(t.item) else: # This is an error that should be reported earlier # if we reach here, we refuse to do any type inference. return {}, {} vartype = UnionType(union_list) elif isinstance(vartype, TypeType): vartype = vartype.item elif isinstance(vartype, Instance) and vartype.type.is_metaclass(): vartype = self.named_type("builtins.object") else: # Any other object whose type we don't know precisely # for example, Any or a custom metaclass. return {}, {} # unknown type yes_type, no_type = self.conditional_types_with_intersection(vartype, type, expr) yes_map, no_map = conditional_types_to_typemaps(expr, yes_type, no_type) yes_map, no_map = map(convert_to_typetype, (yes_map, no_map)) return yes_map, no_map @overload def conditional_types_with_intersection( self, expr_type: Type, type_ranges: list[TypeRange] | None, ctx: Context, default: None = None, *, consider_runtime_isinstance: bool = True, ) -> tuple[Type | None, Type | None]: ... @overload def conditional_types_with_intersection( self, expr_type: Type, type_ranges: list[TypeRange] | None, ctx: Context, default: Type, *, consider_runtime_isinstance: bool = True, ) -> tuple[Type, Type]: ... def conditional_types_with_intersection( self, expr_type: Type, type_ranges: list[TypeRange] | None, ctx: Context, default: Type | None = None, *, consider_runtime_isinstance: bool = True, ) -> tuple[Type | None, Type | None]: initial_types = conditional_types( expr_type, type_ranges, default, consider_runtime_isinstance=consider_runtime_isinstance, ) # For some reason, doing "yes_map, no_map = conditional_types_to_typemaps(...)" # doesn't work: mypyc will decide that 'yes_map' is of type None if we try. yes_type: Type | None = initial_types[0] no_type: Type | None = initial_types[1] if not isinstance(get_proper_type(yes_type), UninhabitedType) or type_ranges is None: return yes_type, no_type # If conditional_types was unable to successfully narrow the expr_type # using the type_ranges and concluded if-branch is unreachable, we try # computing it again using a different algorithm that tries to generate # an ad-hoc intersection between the expr_type and the type_ranges. proper_type = get_proper_type(expr_type) if isinstance(proper_type, UnionType): possible_expr_types = get_proper_types(proper_type.relevant_items()) else: possible_expr_types = [proper_type] possible_target_types = [] for tr in type_ranges: item = get_proper_type(tr.item) if isinstance(item, (Instance, NoneType)): possible_target_types.append(item) if not possible_target_types: return yes_type, no_type out = [] errors: list[tuple[str, str]] = [] for v in possible_expr_types: if not isinstance(v, Instance): return yes_type, no_type for t in possible_target_types: if isinstance(t, NoneType): errors.append((f'"{v.type.name}" and "NoneType"', '"NoneType" is final')) continue intersection = self.intersect_instances((v, t), errors) if intersection is None: continue out.append(intersection) if not out: # Only report errors if no element in the union worked. if self.should_report_unreachable_issues(): for types, reason in errors: self.msg.impossible_intersection(types, reason, ctx) return UninhabitedType(), expr_type new_yes_type = make_simplified_union(out) return new_yes_type, expr_type def is_writable_attribute(self, node: Node) -> bool: """Check if an attribute is writable""" if isinstance(node, Var): if node.is_property and not node.is_settable_property: return False return True elif isinstance(node, OverloadedFuncDef) and node.is_property: first_item = node.items[0] assert isinstance(first_item, Decorator) return first_item.var.is_settable_property return False def get_isinstance_type(self, expr: Expression) -> list[TypeRange] | None: """Get the type(s) resulting from an isinstance check. Returns an empty list for isinstance(x, ()). """ if isinstance(expr, OpExpr) and expr.op == "|": left = self.get_isinstance_type(expr.left) if left is None and is_literal_none(expr.left): left = [TypeRange(NoneType(), is_upper_bound=False)] right = self.get_isinstance_type(expr.right) if right is None and is_literal_none(expr.right): right = [TypeRange(NoneType(), is_upper_bound=False)] if left is None or right is None: return None return left + right all_types = get_proper_types(flatten_types(self.lookup_type(expr))) types: list[TypeRange] = [] for typ in all_types: if isinstance(typ, FunctionLike) and typ.is_type_obj(): # If a type is generic, `isinstance` can only narrow its variables to Any. any_parameterized = fill_typevars_with_any(typ.type_object()) # Tuples may have unattended type variables among their items if isinstance(any_parameterized, TupleType): erased_type = erase_typevars(any_parameterized) else: erased_type = any_parameterized types.append(TypeRange(erased_type, is_upper_bound=False)) elif isinstance(typ, TypeType): # Type[A] means "any type that is a subtype of A" rather than "precisely type A" # we indicate this by setting is_upper_bound flag is_upper_bound = True if isinstance(typ.item, NoneType): # except for Type[None], because "'NoneType' is not an acceptable base type" is_upper_bound = False types.append(TypeRange(typ.item, is_upper_bound=is_upper_bound)) elif isinstance(typ, Instance) and typ.type.fullname == "builtins.type": object_type = Instance(typ.type.mro[-1], []) types.append(TypeRange(object_type, is_upper_bound=True)) elif isinstance(typ, Instance) and typ.type.fullname == "types.UnionType" and typ.args: types.append(TypeRange(UnionType(typ.args), is_upper_bound=False)) elif isinstance(typ, AnyType): types.append(TypeRange(typ, is_upper_bound=False)) else: # we didn't see an actual type, but rather a variable with unknown value return None return types def is_literal_enum(self, n: Expression) -> bool: """Returns true if this expression (with the given type context) is an Enum literal. For example, if we had an enum: class Foo(Enum): A = 1 B = 2 ...and if the expression 'Foo' referred to that enum within the current type context, then the expression 'Foo.A' would be a literal enum. However, if we did 'a = Foo.A', then the variable 'a' would *not* be a literal enum. We occasionally special-case expressions like 'Foo.A' and treat them as a single primitive unit for the same reasons we sometimes treat 'True', 'False', or 'None' as a single primitive unit. """ if not isinstance(n, MemberExpr) or not isinstance(n.expr, NameExpr): return False parent_type = self.lookup_type_or_none(n.expr) member_type = self.lookup_type_or_none(n) if member_type is None or parent_type is None: return False parent_type = get_proper_type(parent_type) member_type = get_proper_type(coerce_to_literal(member_type)) if not isinstance(parent_type, FunctionLike) or not isinstance(member_type, LiteralType): return False if not parent_type.is_type_obj(): return False return ( member_type.is_enum_literal() and member_type.fallback.type == parent_type.type_object() ) def add_any_attribute_to_type(self, typ: Type, name: str) -> Type: """Inject an extra attribute with Any type using fallbacks.""" orig_typ = typ typ = get_proper_type(typ) any_type = AnyType(TypeOfAny.unannotated) if isinstance(typ, Instance): result = typ.copy_with_extra_attr(name, any_type) # For instances, we erase the possible module name, so that restrictions # become anonymous types.ModuleType instances, allowing hasattr() to # have effect on modules. assert result.extra_attrs is not None result.extra_attrs.mod_name = None return result if isinstance(typ, TupleType): fallback = typ.partial_fallback.copy_with_extra_attr(name, any_type) return typ.copy_modified(fallback=fallback) if isinstance(typ, CallableType): fallback = typ.fallback.copy_with_extra_attr(name, any_type) return typ.copy_modified(fallback=fallback) if isinstance(typ, TypeType) and isinstance(typ.item, Instance): return TypeType.make_normalized( self.add_any_attribute_to_type(typ.item, name), is_type_form=typ.is_type_form ) if isinstance(typ, TypeVarType): return typ.copy_modified( upper_bound=self.add_any_attribute_to_type(typ.upper_bound, name), values=[self.add_any_attribute_to_type(v, name) for v in typ.values], ) if isinstance(typ, UnionType): with_attr, without_attr = self.partition_union_by_attr(typ, name) return make_simplified_union( with_attr + [self.add_any_attribute_to_type(typ, name) for typ in without_attr] ) return orig_typ def hasattr_type_maps( self, expr: Expression, source_type: Type, name: str ) -> tuple[TypeMap, TypeMap]: """Simple support for hasattr() checks. Essentially the logic is following: * In the if branch, keep types that already has a valid attribute as is, for other inject an attribute with `Any` type. * In the else branch, remove types that already have a valid attribute, while keeping the rest. """ if self.has_valid_attribute(source_type, name): return {expr: source_type}, {} source_type = get_proper_type(source_type) if isinstance(source_type, UnionType): _, without_attr = self.partition_union_by_attr(source_type, name) yes_map = {expr: self.add_any_attribute_to_type(source_type, name)} return yes_map, {expr: make_simplified_union(without_attr)} type_with_attr = self.add_any_attribute_to_type(source_type, name) if type_with_attr != source_type: return {expr: type_with_attr}, {} return {}, {} def partition_union_by_attr( self, source_type: UnionType, name: str ) -> tuple[list[Type], list[Type]]: with_attr = [] without_attr = [] for item in source_type.items: if self.has_valid_attribute(item, name): with_attr.append(item) else: without_attr.append(item) return with_attr, without_attr def has_valid_attribute(self, typ: Type, name: str) -> bool: p_typ = get_proper_type(typ) if isinstance(p_typ, AnyType): return False if isinstance(p_typ, Instance) and p_typ.extra_attrs and p_typ.extra_attrs.mod_name: # Presence of module_symbol_table means this check will skip ModuleType.__getattr__ module_symbol_table = p_typ.type.names else: module_symbol_table = None with self.msg.filter_errors() as watcher: analyze_member_access( name, typ, TempNode(AnyType(TypeOfAny.special_form)), is_lvalue=False, is_super=False, is_operator=False, original_type=typ, chk=self, # This is not a real attribute lookup so don't mess with deferring nodes. no_deferral=True, module_symbol_table=module_symbol_table, ) return not watcher.has_new_errors() def get_expression_type(self, node: Expression, type_context: Type | None = None) -> Type: return self.expr_checker.accept(node, type_context=type_context) def is_defined_in_stub(self, typ: Instance, /) -> bool: return self.modules[typ.type.module_name].is_stub def check_deprecated(self, node: Node | None, context: Context) -> None: """Warn if deprecated and not directly imported with a `from` statement.""" if isinstance(node, Decorator): node = node.func if isinstance(node, (FuncDef, OverloadedFuncDef, TypeInfo)) and ( node.deprecated is not None ): for imp in self.tree.imports: if isinstance(imp, ImportFrom) and any(node.name == n[0] for n in imp.names): break else: self.warn_deprecated(node, context) def warn_deprecated(self, node: Node | None, context: Context) -> None: """Warn if deprecated.""" if isinstance(node, Decorator): node = node.func if ( isinstance(node, (FuncDef, OverloadedFuncDef, TypeInfo)) and (deprecated := node.deprecated) is not None and not self.is_typeshed_stub and not any( node.fullname == p or node.fullname.startswith(f"{p}.") for p in self.options.deprecated_calls_exclude ) ): warn = self.msg.note if self.options.report_deprecated_as_note else self.msg.fail warn(deprecated, context, code=codes.DEPRECATED) def new_unique_dummy_name(self, namespace: str) -> str: """Generate a name that is guaranteed to be unique for this TypeChecker instance.""" name = f"dummy-{namespace}-{self._unique_id}" self._unique_id += 1 return name # leafs def visit_pass_stmt(self, o: PassStmt, /) -> None: return None def visit_nonlocal_decl(self, o: NonlocalDecl, /) -> None: return None def visit_global_decl(self, o: GlobalDecl, /) -> None: return None class TypeCheckerAsSemanticAnalyzer(SemanticAnalyzerCoreInterface): """ Adapts TypeChecker to the SemanticAnalyzerCoreInterface, allowing most type expressions to be parsed during the TypeChecker pass. See ExpressionChecker.try_parse_as_type_expression() to understand how this class is used. """ _chk: TypeChecker _names: dict[str, SymbolTableNode] did_fail: bool def __init__(self, chk: TypeChecker, names: dict[str, SymbolTableNode]) -> None: self._chk = chk self._names = names self.did_fail = False def lookup_qualified( self, name: str, ctx: Context, suppress_errors: bool = False ) -> SymbolTableNode | None: sym = self._names.get(name) # All names being looked up should have been previously gathered, # even if the related SymbolTableNode does not refer to a valid SymbolNode assert sym is not None, name return sym def lookup_fully_qualified(self, fullname: str, /) -> SymbolTableNode: ret = self.lookup_fully_qualified_or_none(fullname) assert ret is not None, fullname return ret def lookup_fully_qualified_or_none(self, fullname: str, /) -> SymbolTableNode | None: try: return self._chk.lookup_qualified(fullname) except KeyError: return None def fail( self, msg: str, ctx: Context, serious: bool = False, *, blocker: bool = False, code: ErrorCode | None = None, ) -> None: self.did_fail = True def note(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None: pass def incomplete_feature_enabled(self, feature: str, ctx: Context) -> bool: if feature not in self._chk.options.enable_incomplete_feature: self.fail("__ignored__", ctx) return False return True def record_incomplete_ref(self) -> None: pass def defer(self, debug_context: Context | None = None, force_progress: bool = False) -> None: pass def is_incomplete_namespace(self, fullname: str) -> bool: return False @property def final_iteration(self) -> bool: return True def is_future_flag_set(self, flag: str) -> bool: return self._chk.tree.is_future_flag_set(flag) @property def is_stub_file(self) -> bool: return self._chk.tree.is_stub def is_func_scope(self) -> bool: # Return arbitrary value. # # This method is currently only used to decide whether to pair # a fail() message with a note() message or not. Both of those # message types are ignored. return False @property def type(self) -> TypeInfo | None: return self._chk.type class CollectArgTypeVarTypes(TypeTraverserVisitor): """Collects the non-nested argument types in a set.""" def __init__(self) -> None: self.arg_types: set[TypeVarType] = set() def visit_type_var(self, t: TypeVarType) -> None: self.arg_types.add(t) @overload def conditional_types( current_type: Type, proposed_type_ranges: list[TypeRange] | None, default: None = None, *, consider_runtime_isinstance: bool = True, ) -> tuple[Type | None, Type | None]: ... @overload def conditional_types( current_type: Type, proposed_type_ranges: list[TypeRange] | None, default: Type, *, consider_runtime_isinstance: bool = True, ) -> tuple[Type, Type]: ... def conditional_types( current_type: Type, proposed_type_ranges: list[TypeRange] | None, default: Type | None = None, *, consider_runtime_isinstance: bool = True, ) -> tuple[Type | None, Type | None]: """Takes in the current type and a proposed type of an expression. Returns a 2-tuple: The first element is the proposed type, if the expression can be the proposed type. (or default, if default is set and the expression is a subtype of the proposed type). The second element is the type it would hold if it was not the proposed type, if any. (or default, if default is set and the expression is not a subtype of the proposed type). UninhabitedType means unreachable. None means no new information can be inferred. """ if proposed_type_ranges is None: # An isinstance check, but we don't understand the type return current_type, default if not proposed_type_ranges: # This is the case for `if isinstance(x, ())` which always returns False. return UninhabitedType(), default if len(proposed_type_ranges) == 1: # expand e.g. bool -> Literal[True] | Literal[False] target = proposed_type_ranges[0].item target = get_proper_type(target) if isinstance(target, LiteralType) and ( target.is_enum_literal() or isinstance(target.value, bool) ): enum_name = target.fallback.type.fullname current_type = try_expanding_sum_type_to_union(current_type, enum_name) proper_type = get_proper_type(current_type) # factorize over union types: isinstance(A|B, C) -> yes = A_yes | B_yes if isinstance(proper_type, UnionType): result: list[tuple[Type | None, Type | None]] = [ conditional_types( union_item, proposed_type_ranges, default=union_item, consider_runtime_isinstance=consider_runtime_isinstance, ) for union_item in get_proper_types(proper_type.items) ] # separate list of tuples into two lists yes_types, no_types = zip(*result) proposed_type = make_simplified_union([t for t in yes_types if t is not None]) else: proposed_items = [type_range.item for type_range in proposed_type_ranges] proposed_type = make_simplified_union(proposed_items) if isinstance(proper_type, AnyType): return proposed_type, current_type elif isinstance(proposed_type, AnyType): # We don't really know much about the proposed type, so we shouldn't # attempt to narrow anything. Instead, we broaden the expr to Any to # avoid false positives return proposed_type, default elif not any(type_range.is_upper_bound for type_range in proposed_type_ranges) and ( # concrete subtypes is_proper_subtype(current_type, proposed_type, ignore_promotions=True) # structural subtypes or ( ( isinstance(proposed_type, CallableType) or (isinstance(proposed_type, Instance) and proposed_type.type.is_protocol) ) and is_subtype(current_type, proposed_type, ignore_promotions=True) ) ): # Expression is always of one of the types in proposed_type_ranges return default, UninhabitedType() elif not is_overlapping_types(current_type, proposed_type, ignore_promotions=True): # Expression is never of any type in proposed_type_ranges return UninhabitedType(), default else: # we can only restrict when the type is precise, not bounded proposed_precise_type = UnionType.make_union( [ type_range.item for type_range in proposed_type_ranges if not type_range.is_upper_bound ] ) remaining_type = restrict_subtype_away( current_type, proposed_precise_type, consider_runtime_isinstance=consider_runtime_isinstance, ) return proposed_type, remaining_type def conditional_types_to_typemaps( expr: Expression, yes_type: Type | None, no_type: Type | None ) -> tuple[TypeMap, TypeMap]: expr = collapse_walrus(expr) maps: list[TypeMap] = [] for typ in (yes_type, no_type): proper_type = get_proper_type(typ) if isinstance(proper_type, UninhabitedType): maps.append(None) elif proper_type is None: maps.append({}) else: assert typ is not None maps.append({expr: typ}) return cast(tuple[TypeMap, TypeMap], tuple(maps)) def gen_unique_name(base: str, table: SymbolTable) -> str: """Generate a name that does not appear in table by appending numbers to base.""" if base not in table: return base i = 1 while base + str(i) in table: i += 1 return base + str(i) def is_true_literal(n: Expression) -> bool: """Returns true if this expression is the 'True' literal/keyword.""" return refers_to_fullname(n, "builtins.True") or isinstance(n, IntExpr) and n.value != 0 def is_false_literal(n: Expression) -> bool: """Returns true if this expression is the 'False' literal/keyword.""" return refers_to_fullname(n, "builtins.False") or isinstance(n, IntExpr) and n.value == 0 def is_literal_none(n: Expression) -> bool: """Returns true if this expression is the 'None' literal/keyword.""" return isinstance(n, NameExpr) and n.fullname == "builtins.None" def is_literal_not_implemented(n: Expression | None) -> bool: return isinstance(n, NameExpr) and n.fullname == "builtins.NotImplemented" def _is_empty_generator_function(func: FuncItem) -> bool: """ Checks whether a function's body is 'return; yield' (the yield being added only to promote the function into a generator function). """ body = func.body.body return ( len(body) == 2 and isinstance(ret_stmt := body[0], ReturnStmt) and (ret_stmt.expr is None or is_literal_none(ret_stmt.expr)) and isinstance(expr_stmt := body[1], ExpressionStmt) and isinstance(yield_expr := expr_stmt.expr, YieldExpr) and (yield_expr.expr is None or is_literal_none(yield_expr.expr)) ) def builtin_item_type(tp: Type) -> Type | None: """Get the item type of a builtin container. If 'tp' is not one of the built containers (these includes NamedTuple and TypedDict) or if the container is not parameterized (like List or List[Any]) return None. This function is used to narrow optional types in situations like this: x: Optional[int] if x in (1, 2, 3): x + 42 # OK Note: this is only OK for built-in containers, where we know the behavior of __contains__. """ tp = get_proper_type(tp) if isinstance(tp, Instance): if tp.type.fullname in [ "builtins.list", "builtins.tuple", "builtins.dict", "builtins.set", "builtins.frozenset", "_collections_abc.dict_keys", "typing.KeysView", ]: if not tp.args: # TODO: fix tuple in lib-stub/builtins.pyi (it should be generic). return None if not isinstance(get_proper_type(tp.args[0]), AnyType): return tp.args[0] elif isinstance(tp, TupleType): normalized_items = [] for it in tp.items: # This use case is probably rare, but not handling unpacks here can cause crashes. if isinstance(it, UnpackType): unpacked = get_proper_type(it.type) if isinstance(unpacked, TypeVarTupleType): unpacked = get_proper_type(unpacked.upper_bound) assert ( isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" ) normalized_items.append(unpacked.args[0]) else: normalized_items.append(it) if all(not isinstance(it, AnyType) for it in get_proper_types(normalized_items)): return make_simplified_union(normalized_items) # this type is not externally visible elif isinstance(tp, TypedDictType): # TypedDict always has non-optional string keys. Find the key type from the Mapping # base class. for base in tp.fallback.type.mro: if base.fullname == "typing.Mapping": return map_instance_to_supertype(tp.fallback, base).args[0] assert False, "No Mapping base class found for TypedDict fallback" return None def and_conditional_maps(m1: TypeMap, m2: TypeMap, use_meet: bool = False) -> TypeMap: """Calculate what information we can learn from the truth of (e1 and e2) in terms of the information that we can learn from the truth of e1 and the truth of e2. """ if m1 is None or m2 is None: # One of the conditions can never be true. return None # Both conditions can be true; combine the information. Anything # we learn from either conditions' truth is valid. If the same # expression's type is refined by both conditions, we somewhat # arbitrarily give precedence to m2 unless m1 value is Any. # In the future, we could use an intersection type or meet_types(). result = m2.copy() m2_keys = {literal_hash(n2) for n2 in m2} for n1 in m1: if literal_hash(n1) not in m2_keys or isinstance(get_proper_type(m1[n1]), AnyType): result[n1] = m1[n1] if use_meet: # For now, meet common keys only if specifically requested. # This is currently used for tuple types narrowing, where having # a precise result is important. for n1 in m1: for n2 in m2: if literal_hash(n1) == literal_hash(n2): result[n1] = meet_types(m1[n1], m2[n2]) return result def or_conditional_maps(m1: TypeMap, m2: TypeMap, coalesce_any: bool = False) -> TypeMap: """Calculate what information we can learn from the truth of (e1 or e2) in terms of the information that we can learn from the truth of e1 and the truth of e2. If coalesce_any is True, consider Any a supertype when joining restrictions. """ if m1 is None: return m2 if m2 is None: return m1 # Both conditions can be true. Combine information about # expressions whose type is refined by both conditions. (We do not # learn anything about expressions whose type is refined by only # one condition.) result: dict[Expression, Type] = {} for n1 in m1: for n2 in m2: if literal_hash(n1) == literal_hash(n2): if coalesce_any and isinstance(get_proper_type(m1[n1]), AnyType): result[n1] = m1[n1] else: result[n1] = make_simplified_union([m1[n1], m2[n2]]) return result def reduce_conditional_maps( type_maps: list[tuple[TypeMap, TypeMap]], use_meet: bool = False ) -> tuple[TypeMap, TypeMap]: """Reduces a list containing pairs of if/else TypeMaps into a single pair. We "and" together all of the if TypeMaps and "or" together the else TypeMaps. So for example, if we had the input: [ ({x: TypeIfX, shared: TypeIfShared1}, {x: TypeElseX, shared: TypeElseShared1}), ({y: TypeIfY, shared: TypeIfShared2}, {y: TypeElseY, shared: TypeElseShared2}), ] ...we'd return the output: ( {x: TypeIfX, y: TypeIfY, shared: PseudoIntersection[TypeIfShared1, TypeIfShared2]}, {shared: Union[TypeElseShared1, TypeElseShared2]}, ) ...where "PseudoIntersection[X, Y] == Y" because mypy actually doesn't understand intersections yet, so we settle for just arbitrarily picking the right expr's type. We only retain the shared expression in the 'else' case because we don't actually know whether x was refined or y was refined -- only just that one of the two was refined. """ if len(type_maps) == 0: return {}, {} elif len(type_maps) == 1: return type_maps[0] else: final_if_map, final_else_map = type_maps[0] for if_map, else_map in type_maps[1:]: final_if_map = and_conditional_maps(final_if_map, if_map, use_meet=use_meet) final_else_map = or_conditional_maps(final_else_map, else_map) return final_if_map, final_else_map def convert_to_typetype(type_map: TypeMap) -> TypeMap: converted_type_map: dict[Expression, Type] = {} if type_map is None: return None for expr, typ in type_map.items(): t = typ if isinstance(t, TypeVarType): t = t.upper_bound # TODO: should we only allow unions of instances as per PEP 484? if not isinstance(get_proper_type(t), (UnionType, Instance, NoneType)): # unknown type; error was likely reported earlier return {} converted_type_map[expr] = TypeType.make_normalized(typ) return converted_type_map def flatten(t: Expression) -> list[Expression]: """Flatten a nested sequence of tuples/lists into one list of nodes.""" if isinstance(t, (TupleExpr, ListExpr)): return [b for a in t.items for b in flatten(a)] elif isinstance(t, StarExpr): return flatten(t.expr) else: return [t] def flatten_types(t: Type) -> list[Type]: """Flatten a nested sequence of tuples into one list of nodes.""" t = get_proper_type(t) if isinstance(t, TupleType): return [b for a in t.items for b in flatten_types(a)] elif is_named_instance(t, "builtins.tuple"): return [t.args[0]] else: return [t] def expand_func(defn: FuncItem, map: dict[TypeVarId, Type]) -> FuncItem: visitor = TypeTransformVisitor(map) ret = visitor.node(defn) assert isinstance(ret, FuncItem) return ret class TypeTransformVisitor(TransformVisitor): def __init__(self, map: dict[TypeVarId, Type]) -> None: super().__init__() self.map = map def type(self, type: Type) -> Type: return expand_type(type, self.map) def are_argument_counts_overlapping(t: CallableType, s: CallableType) -> bool: """Can a single call match both t and s, based just on positional argument counts?""" min_args = max(t.min_args, s.min_args) max_args = min(t.max_possible_positional_args(), s.max_possible_positional_args()) return min_args <= max_args def expand_callable_variants(c: CallableType) -> list[CallableType]: """Expand a generic callable using all combinations of type variables' values/bounds.""" for tv in c.variables: # We need to expand self-type before other variables, because this is the only # type variable that can have other type variables in the upper bound. if tv.id.is_self(): c = expand_type(c, {tv.id: tv.upper_bound}).copy_modified( variables=[v for v in c.variables if not v.id.is_self()] ) break if not c.is_generic(): # Fast path. return [c] tvar_values = [] for tvar in c.variables: if isinstance(tvar, TypeVarType) and tvar.values: tvar_values.append(tvar.values) else: tvar_values.append([tvar.upper_bound]) variants = [] for combination in itertools.product(*tvar_values): tvar_map = {tv.id: subst for (tv, subst) in zip(c.variables, combination)} variants.append(expand_type(c, tvar_map).copy_modified(variables=[])) return variants def is_unsafe_overlapping_overload_signatures( signature: CallableType, other: CallableType, class_type_vars: list[TypeVarLikeType], partial_only: bool = True, ) -> bool: """Check if two overloaded signatures are unsafely overlapping or partially overlapping. We consider two functions 's' and 't' to be unsafely overlapping if three conditions hold: 1. s's parameters are partially overlapping with t's. i.e. there are calls that are valid for both signatures. 2. for these common calls, some of t's parameters types are wider that s's. 3. s's return type is NOT a subset of t's. Note that we use subset rather than subtype relationship in these checks because: * Overload selection happens at runtime, not statically. * This results in more lenient behavior. This can cause false negatives (e.g. if overloaded function returns an externally visible attribute with invariant type), but such situations are rare. In general, overloads in Python are generally unsafe, so we intentionally try to avoid giving non-actionable errors (see more details in comments below). Assumes that 'signature' appears earlier in the list of overload alternatives then 'other' and that their argument counts are overlapping. """ # Try detaching callables from the containing class so that all TypeVars # are treated as being free, i.e. the signature is as seen from inside the class, # where "self" is not yet bound to anything. signature = detach_callable(signature, class_type_vars) other = detach_callable(other, class_type_vars) # Note: We repeat this check twice in both directions compensate for slight # asymmetries in 'is_callable_compatible'. for sig_variant in expand_callable_variants(signature): for other_variant in expand_callable_variants(other): # Using only expanded callables may cause false negatives, we can add # more variants (e.g. using inference between callables) in the future. if is_subset_no_promote(sig_variant.ret_type, other_variant.ret_type): continue if not ( is_callable_compatible( sig_variant, other_variant, is_compat=is_overlapping_types_for_overload, check_args_covariantly=False, is_proper_subtype=False, is_compat_return=lambda l, r: not is_subset_no_promote(l, r), allow_partial_overlap=True, ) or is_callable_compatible( other_variant, sig_variant, is_compat=is_overlapping_types_for_overload, check_args_covariantly=True, is_proper_subtype=False, is_compat_return=lambda l, r: not is_subset_no_promote(r, l), allow_partial_overlap=True, ) ): continue # Using the same `allow_partial_overlap` flag as before, can cause false # negatives in case where star argument is used in a catch-all fallback overload. # But again, practicality beats purity here. if not partial_only or not is_callable_compatible( other_variant, sig_variant, is_compat=is_subset_no_promote, check_args_covariantly=True, is_proper_subtype=False, ignore_return=True, allow_partial_overlap=True, ): return True return False def detach_callable(typ: CallableType, class_type_vars: list[TypeVarLikeType]) -> CallableType: """Ensures that the callable's type variables are 'detached' and independent of the context. A callable normally keeps track of the type variables it uses within its 'variables' field. However, if the callable is from a method and that method is using a class type variable, the callable will not keep track of that type variable since it belongs to the class. """ if not class_type_vars: # Fast path, nothing to update. return typ return typ.copy_modified(variables=list(typ.variables) + class_type_vars) def overload_can_never_match(signature: CallableType, other: CallableType) -> bool: """Check if the 'other' method can never be matched due to 'signature'. This can happen if signature's parameters are all strictly broader then other's parameters. Assumes that both signatures have overlapping argument counts. """ # The extra erasure is needed to prevent spurious errors # in situations where an `Any` overload is used as a fallback # for an overload with type variables. The spurious error appears # because the type variables turn into `Any` during unification in # the below subtype check and (surprisingly?) `is_proper_subtype(Any, Any)` # returns `True`. # TODO: find a cleaner solution instead of this ad-hoc erasure. exp_signature = expand_type( signature, {tvar.id: erase_def_to_union_or_bound(tvar) for tvar in signature.variables} ) return is_callable_compatible( exp_signature, other, is_compat=is_more_precise, is_proper_subtype=True, ignore_return=True ) def is_more_general_arg_prefix(t: FunctionLike, s: FunctionLike) -> bool: """Does t have wider arguments than s?""" # TODO should an overload with additional items be allowed to be more # general than one with fewer items (or just one item)? if isinstance(t, CallableType): if isinstance(s, CallableType): return is_callable_compatible( t, s, is_compat=is_proper_subtype, is_proper_subtype=True, ignore_return=True ) elif isinstance(t, FunctionLike): if isinstance(s, FunctionLike): if len(t.items) == len(s.items): return all( is_same_arg_prefix(items, itemt) for items, itemt in zip(t.items, s.items) ) return False def is_same_arg_prefix(t: CallableType, s: CallableType) -> bool: return is_callable_compatible( t, s, is_compat=is_same_type, is_proper_subtype=True, ignore_return=True, check_args_covariantly=True, ignore_pos_arg_names=True, ) def infer_operator_assignment_method(typ: Type, operator: str) -> tuple[bool, str]: """Determine if operator assignment on given value type is in-place, and the method name. For example, if operator is '+', return (True, '__iadd__') or (False, '__add__') depending on which method is supported by the type. """ typ = get_proper_type(typ) method = operators.op_methods[operator] existing_method = None if isinstance(typ, Instance): existing_method = _find_inplace_method(typ, method, operator) elif isinstance(typ, TypedDictType): existing_method = _find_inplace_method(typ.fallback, method, operator) if existing_method is not None: return True, existing_method return False, method def _find_inplace_method(inst: Instance, method: str, operator: str) -> str | None: if operator in operators.ops_with_inplace_method: inplace_method = "__i" + method[2:] if inst.type.has_readable_member(inplace_method): return inplace_method return None def is_valid_inferred_type( typ: Type, options: Options, is_lvalue_final: bool = False, is_lvalue_member: bool = False ) -> bool: """Is an inferred type valid and needs no further refinement? Examples of invalid types include the None type (when we are not assigning None to a final lvalue) or List[]. When not doing strict Optional checking, all types containing None are invalid. When doing strict Optional checking, only None and types that are incompletely defined (i.e. contain UninhabitedType) are invalid. """ proper_type = get_proper_type(typ) if isinstance(proper_type, NoneType): # If the lvalue is final, we may immediately infer NoneType when the # initializer is None. # # If not, we want to defer making this decision. The final inferred # type could either be NoneType or an Optional type, depending on # the context. This resolution happens in leave_partial_types when # we pop a partial types scope. return is_lvalue_final or (not is_lvalue_member and options.allow_redefinition_new) elif isinstance(proper_type, UninhabitedType): return False return not typ.accept(InvalidInferredTypes()) class InvalidInferredTypes(BoolTypeQuery): """Find type components that are not valid for an inferred type. These include type, and any uninhabited types resulting from failed (ambiguous) type inference. """ def __init__(self) -> None: super().__init__(ANY_STRATEGY) def visit_uninhabited_type(self, t: UninhabitedType) -> bool: return t.ambiguous def visit_erased_type(self, t: ErasedType) -> bool: # This can happen inside a lambda. return True def visit_type_var(self, t: TypeVarType) -> bool: # This is needed to prevent leaking into partial types during # multi-step type inference. return t.id.is_meta_var() def visit_tuple_type(self, t: TupleType, /) -> bool: # Exclude fallback to avoid bogus "need type annotation" errors return self.query_types(t.items) class SetNothingToAny(TypeTranslator): """Replace all ambiguous Uninhabited types with Any (to avoid spurious extra errors).""" def visit_uninhabited_type(self, t: UninhabitedType) -> Type: if t.ambiguous: return AnyType(TypeOfAny.from_error) return t def visit_type_alias_type(self, t: TypeAliasType) -> Type: # Target of the alias cannot be an ambiguous UninhabitedType, so we just # replace the arguments. return t.copy_modified(args=[a.accept(self) for a in t.args]) def is_classmethod_node(node: SymbolNode | None) -> bool | None: """Find out if a node describes a classmethod.""" if isinstance(node, Decorator): node = node.func if isinstance(node, FuncDef): return node.is_class if isinstance(node, Var): return node.is_classmethod return None def is_node_static(node: SymbolNode | None) -> bool | None: """Find out if a node describes a static function method.""" if isinstance(node, Decorator): node = node.func if isinstance(node, FuncDef): return node.is_static if isinstance(node, Var): return node.is_staticmethod return None TKey = TypeVar("TKey") TValue = TypeVar("TValue") class DisjointDict(Generic[TKey, TValue]): """An variation of the union-find algorithm/data structure where instead of keeping track of just disjoint sets, we keep track of disjoint dicts -- keep track of multiple Set[Key] -> Set[Value] mappings, where each mapping's keys are guaranteed to be disjoint. This data structure is currently used exclusively by 'group_comparison_operands' below to merge chains of '==' and 'is' comparisons when two or more chains use the same expression in best-case O(n), where n is the number of operands. Specifically, the `add_mapping()` function and `items()` functions will take on average O(k + v) and O(n) respectively, where k and v are the number of keys and values we're adding for a given chain. Note that k <= n and v <= n. We hit these average/best-case scenarios for most user code: e.g. when the user has just a single chain like 'a == b == c == d == ...' or multiple disjoint chains like 'a==b < c==d < e==f < ...'. (Note that a naive iterative merging would be O(n^2) for the latter case). In comparison, this data structure will make 'group_comparison_operands' have a worst-case runtime of O(n*log(n)): 'add_mapping()' and 'items()' are worst-case O(k*log(n) + v) and O(k*log(n)) respectively. This happens only in the rare case where the user keeps repeatedly making disjoint mappings before merging them in a way that persistently dodges the path compression optimization in '_lookup_root_id', which would end up constructing a single tree of height log_2(n). This makes root lookups no longer amoritized constant time when we finally call 'items()'. """ def __init__(self) -> None: # Each key maps to a unique ID self._key_to_id: dict[TKey, int] = {} # Each id points to the parent id, forming a forest of upwards-pointing trees. If the # current id already is the root, it points to itself. We gradually flatten these trees # as we perform root lookups: eventually all nodes point directly to its root. self._id_to_parent_id: dict[int, int] = {} # Each root id in turn maps to the set of values. self._root_id_to_values: dict[int, set[TValue]] = {} def add_mapping(self, keys: set[TKey], values: set[TValue]) -> None: """Adds a 'Set[TKey] -> Set[TValue]' mapping. If there already exists a mapping containing one or more of the given keys, we merge the input mapping with the old one. Note that the given set of keys must be non-empty -- otherwise, nothing happens. """ if not keys: return subtree_roots = [self._lookup_or_make_root_id(key) for key in keys] new_root = subtree_roots[0] root_values = self._root_id_to_values[new_root] root_values.update(values) for subtree_root in subtree_roots[1:]: if subtree_root == new_root or subtree_root not in self._root_id_to_values: continue self._id_to_parent_id[subtree_root] = new_root root_values.update(self._root_id_to_values.pop(subtree_root)) def items(self) -> list[tuple[set[TKey], set[TValue]]]: """Returns all disjoint mappings in key-value pairs.""" root_id_to_keys: dict[int, set[TKey]] = {} for key in self._key_to_id: root_id = self._lookup_root_id(key) if root_id not in root_id_to_keys: root_id_to_keys[root_id] = set() root_id_to_keys[root_id].add(key) output = [] for root_id, keys in root_id_to_keys.items(): output.append((keys, self._root_id_to_values[root_id])) return output def _lookup_or_make_root_id(self, key: TKey) -> int: if key in self._key_to_id: return self._lookup_root_id(key) else: new_id = len(self._key_to_id) self._key_to_id[key] = new_id self._id_to_parent_id[new_id] = new_id self._root_id_to_values[new_id] = set() return new_id def _lookup_root_id(self, key: TKey) -> int: i = self._key_to_id[key] while i != self._id_to_parent_id[i]: # Optimization: make keys directly point to their grandparents to speed up # future traversals. This prevents degenerate trees of height n from forming. new_parent = self._id_to_parent_id[self._id_to_parent_id[i]] self._id_to_parent_id[i] = new_parent i = new_parent return i def group_comparison_operands( pairwise_comparisons: Iterable[tuple[str, Expression, Expression]], operand_to_literal_hash: Mapping[int, Key], operators_to_group: set[str], ) -> list[tuple[str, list[int]]]: """Group a series of comparison operands together chained by any operand in the 'operators_to_group' set. All other pairwise operands are kept in groups of size 2. For example, suppose we have the input comparison expression: x0 == x1 == x2 < x3 < x4 is x5 is x6 is not x7 is not x8 If we get these expressions in a pairwise way (e.g. by calling ComparisonExpr's 'pairwise()' method), we get the following as input: [('==', x0, x1), ('==', x1, x2), ('<', x2, x3), ('<', x3, x4), ('is', x4, x5), ('is', x5, x6), ('is not', x6, x7), ('is not', x7, x8)] If `operators_to_group` is the set {'==', 'is'}, this function will produce the following "simplified operator list": [("==", [0, 1, 2]), ("<", [2, 3]), ("<", [3, 4]), ("is", [4, 5, 6]), ("is not", [6, 7]), ("is not", [7, 8])] Note that (a) we yield *indices* to the operands rather then the operand expressions themselves and that (b) operands used in a consecutive chain of '==' or 'is' are grouped together. If two of these chains happen to contain operands with the same underlying literal hash (e.g. are assignable and correspond to the same expression), we combine those chains together. For example, if we had: same == x < y == same ...and if 'operand_to_literal_hash' contained the same values for the indices 0 and 3, we'd produce the following output: [("==", [0, 1, 2, 3]), ("<", [1, 2])] But if the 'operand_to_literal_hash' did *not* contain an entry, we'd instead default to returning: [("==", [0, 1]), ("<", [1, 2]), ("==", [2, 3])] This function is currently only used to assist with type-narrowing refinements and is extracted out to a helper function so we can unit test it. """ groups: dict[str, DisjointDict[Key, int]] = {op: DisjointDict() for op in operators_to_group} simplified_operator_list: list[tuple[str, list[int]]] = [] last_operator: str | None = None current_indices: set[int] = set() current_hashes: set[Key] = set() for i, (operator, left_expr, right_expr) in enumerate(pairwise_comparisons): if last_operator is None: last_operator = operator if current_indices and (operator != last_operator or operator not in operators_to_group): # If some of the operands in the chain are assignable, defer adding it: we might # end up needing to merge it with other chains that appear later. if not current_hashes: simplified_operator_list.append((last_operator, sorted(current_indices))) else: groups[last_operator].add_mapping(current_hashes, current_indices) last_operator = operator current_indices = set() current_hashes = set() # Note: 'i' corresponds to the left operand index, so 'i + 1' is the # right operand. current_indices.add(i) current_indices.add(i + 1) # We only ever want to combine operands/combine chains for these operators if operator in operators_to_group: left_hash = operand_to_literal_hash.get(i) if left_hash is not None: current_hashes.add(left_hash) right_hash = operand_to_literal_hash.get(i + 1) if right_hash is not None: current_hashes.add(right_hash) if last_operator is not None: if not current_hashes: simplified_operator_list.append((last_operator, sorted(current_indices))) else: groups[last_operator].add_mapping(current_hashes, current_indices) # Now that we know which chains happen to contain the same underlying expressions # and can be merged together, add in this info back to the output. for operator, disjoint_dict in groups.items(): for keys, indices in disjoint_dict.items(): simplified_operator_list.append((operator, sorted(indices))) # For stability, reorder list by the first operand index to appear simplified_operator_list.sort(key=lambda item: item[1][0]) return simplified_operator_list def is_typed_callable(c: Type | None) -> bool: c = get_proper_type(c) if not c or not isinstance(c, CallableType): return False return not all( isinstance(t, AnyType) and t.type_of_any == TypeOfAny.unannotated for t in get_proper_types(c.arg_types + [c.ret_type]) ) def is_untyped_decorator(typ: Type | None) -> bool: typ = get_proper_type(typ) if not typ: return True elif isinstance(typ, CallableType): return not is_typed_callable(typ) elif isinstance(typ, Instance): method = typ.type.get_method("__call__") if method: if isinstance(method, Decorator): return is_untyped_decorator(method.func.type) or is_untyped_decorator( method.var.type ) if isinstance(method.type, Overloaded): return any(is_untyped_decorator(item) for item in method.type.items) else: return not is_typed_callable(method.type) else: return False elif isinstance(typ, Overloaded): return any(is_untyped_decorator(item) for item in typ.items) return True def is_static(func: FuncBase | Decorator) -> bool: if isinstance(func, Decorator): return is_static(func.func) elif isinstance(func, FuncBase): return func.is_static assert False, f"Unexpected func type: {type(func)}" def is_property(defn: SymbolNode) -> bool: if isinstance(defn, FuncDef): return defn.is_property if isinstance(defn, Decorator): return defn.func.is_property if isinstance(defn, OverloadedFuncDef): if defn.items and isinstance(defn.items[0], Decorator): return defn.items[0].func.is_property return False def is_settable_property(defn: SymbolNode | None) -> TypeGuard[OverloadedFuncDef]: if isinstance(defn, OverloadedFuncDef): if defn.items and isinstance(defn.items[0], Decorator): return defn.items[0].func.is_property return False def is_custom_settable_property(defn: SymbolNode | None) -> bool: """Check if a node is a settable property with a non-trivial setter type. By non-trivial here we mean that it is known (i.e. definition was already type checked), it is not Any, and it is different from the property getter type. """ if defn is None: return False if not is_settable_property(defn): return False first_item = defn.items[0] assert isinstance(first_item, Decorator) if not first_item.var.is_settable_property: return False var = first_item.var if var.type is None or var.setter_type is None or isinstance(var.type, PartialType): # The caller should defer in case of partial types or not ready variables. return False setter_type = var.setter_type.arg_types[1] if isinstance(get_proper_type(setter_type), AnyType): return False return not is_same_type(get_property_type(get_proper_type(var.type)), setter_type) def get_property_type(t: ProperType) -> ProperType: if isinstance(t, CallableType): return get_proper_type(t.ret_type) if isinstance(t, Overloaded): return get_proper_type(t.items[0].ret_type) return t def is_subset_no_promote(left: Type, right: Type) -> bool: return is_subtype(left, right, ignore_promotions=True, always_covariant=True) def is_overlapping_types_for_overload(left: Type, right: Type) -> bool: # Note that among other effects 'overlap_for_overloads' flag will effectively # ignore possible overlap between type variables and None. This is technically # unsafe, but unsafety is tiny and this prevents some common use cases like: # @overload # def foo(x: None) -> None: .. # @overload # def foo(x: T) -> Foo[T]: ... return is_overlapping_types( left, right, ignore_promotions=True, prohibit_none_typevar_overlap=True, overlap_for_overloads=True, ) def is_private(node_name: str) -> bool: """Check if node is private to class definition.""" return node_name.startswith("__") and not node_name.endswith("__") def is_string_literal(typ: Type) -> bool: strs = try_getting_str_literals_from_type(typ) return strs is not None and len(strs) == 1 def has_bool_item(typ: ProperType) -> bool: """Return True if type is 'bool' or a union with a 'bool' item.""" if is_named_instance(typ, "builtins.bool"): return True if isinstance(typ, UnionType): return any(is_named_instance(item, "builtins.bool") for item in typ.items) return False def collapse_walrus(e: Expression) -> Expression: """If an expression is an AssignmentExpr, pull out the assignment target. We don't make any attempt to pull out all the targets in code like `x := (y := z)`. We could support narrowing those if that sort of code turns out to be common. """ if isinstance(e, AssignmentExpr): return e.target return e def find_last_var_assignment_line(n: Node, v: Var) -> int: """Find the highest line number of a potential assignment to variable within node. This supports local and global variables. Return -1 if no assignment was found. """ visitor = VarAssignVisitor(v) n.accept(visitor) return visitor.last_line class VarAssignVisitor(TraverserVisitor): def __init__(self, v: Var) -> None: self.last_line = -1 self.lvalue = False self.var_node = v def visit_assignment_stmt(self, s: AssignmentStmt) -> None: self.lvalue = True for lv in s.lvalues: lv.accept(self) self.lvalue = False def visit_name_expr(self, e: NameExpr) -> None: if self.lvalue and e.node is self.var_node: self.last_line = max(self.last_line, e.line) def visit_member_expr(self, e: MemberExpr) -> None: old_lvalue = self.lvalue self.lvalue = False super().visit_member_expr(e) self.lvalue = old_lvalue def visit_index_expr(self, e: IndexExpr) -> None: old_lvalue = self.lvalue self.lvalue = False super().visit_index_expr(e) self.lvalue = old_lvalue def visit_with_stmt(self, s: WithStmt) -> None: self.lvalue = True for lv in s.target: if lv is not None: lv.accept(self) self.lvalue = False s.body.accept(self) def visit_for_stmt(self, s: ForStmt) -> None: self.lvalue = True s.index.accept(self) self.lvalue = False s.body.accept(self) if s.else_body: s.else_body.accept(self) def visit_assignment_expr(self, e: AssignmentExpr) -> None: self.lvalue = True e.target.accept(self) self.lvalue = False e.value.accept(self) def visit_as_pattern(self, p: AsPattern) -> None: if p.pattern is not None: p.pattern.accept(self) if p.name is not None: self.lvalue = True p.name.accept(self) self.lvalue = False def visit_starred_pattern(self, p: StarredPattern) -> None: if p.capture is not None: self.lvalue = True p.capture.accept(self) self.lvalue = False def is_ambiguous_mix_of_enums(types: list[Type]) -> bool: """Do types have IntEnum/StrEnum types that are potentially overlapping with other types? If True, we shouldn't attempt type narrowing based on enum values, as it gets too ambiguous. For example, return True if there's an 'int' type together with an IntEnum literal. However, IntEnum together with a literal of the same IntEnum type is not ambiguous. """ # We need these things for this to be ambiguous: # (1) an IntEnum or StrEnum type # (2) either a different IntEnum/StrEnum type or a non-enum type ("") # # It would be slightly more correct to calculate this separately for IntEnum and # StrEnum related types, as an IntEnum can't be confused with a StrEnum. return len(_ambiguous_enum_variants(types)) > 1 def _ambiguous_enum_variants(types: list[Type]) -> set[str]: result = set() for t in types: t = get_proper_type(t) if isinstance(t, UnionType): result.update(_ambiguous_enum_variants(t.items)) elif isinstance(t, Instance): if t.last_known_value: result.update(_ambiguous_enum_variants([t.last_known_value])) elif t.type.is_enum and any( base.fullname in ("enum.IntEnum", "enum.StrEnum") for base in t.type.mro ): result.add(t.type.fullname) elif not t.type.is_enum: # These might compare equal to IntEnum/StrEnum types (e.g. Decimal), so # let's be conservative result.add("") elif isinstance(t, LiteralType): result.update(_ambiguous_enum_variants([t.fallback])) elif isinstance(t, NoneType): pass else: result.add("") return result def is_typeddict_type_context(lvalue_type: Type | None) -> bool: if lvalue_type is None: return False lvalue_proper = get_proper_type(lvalue_type) return isinstance(lvalue_proper, TypedDictType) def is_method(node: SymbolNode | None) -> bool: if isinstance(node, OverloadedFuncDef): return not node.is_property if isinstance(node, Decorator): return not node.var.is_property return isinstance(node, FuncDef) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/checker_shared.py0000644000175100017510000002376715112307767016600 0ustar00runnerrunner"""Shared definitions used by different parts of type checker.""" from __future__ import annotations from abc import abstractmethod from collections.abc import Iterator, Sequence from contextlib import contextmanager from typing import NamedTuple, overload from mypy_extensions import trait from mypy.errorcodes import ErrorCode from mypy.errors import ErrorWatcher from mypy.message_registry import ErrorMessage from mypy.nodes import ( ArgKind, Context, Expression, FuncItem, LambdaExpr, MypyFile, Node, RefExpr, SymbolNode, TypeInfo, Var, ) from mypy.plugin import CheckerPluginInterface, Plugin from mypy.types import ( CallableType, Instance, LiteralValue, Overloaded, PartialType, TupleType, Type, TypedDictType, TypeType, ) from mypy.typevars import fill_typevars # An object that represents either a precise type or a type with an upper bound; # it is important for correct type inference with isinstance. class TypeRange(NamedTuple): item: Type is_upper_bound: bool # False => precise type @trait class ExpressionCheckerSharedApi: @abstractmethod def accept( self, node: Expression, type_context: Type | None = None, allow_none_return: bool = False, always_allow_any: bool = False, is_callee: bool = False, ) -> Type: raise NotImplementedError @abstractmethod def analyze_ref_expr(self, e: RefExpr, lvalue: bool = False) -> Type: raise NotImplementedError @abstractmethod def check_call( self, callee: Type, args: list[Expression], arg_kinds: list[ArgKind], context: Context, arg_names: Sequence[str | None] | None = None, callable_node: Expression | None = None, callable_name: str | None = None, object_type: Type | None = None, original_type: Type | None = None, ) -> tuple[Type, Type]: raise NotImplementedError @abstractmethod def transform_callee_type( self, callable_name: str | None, callee: Type, args: list[Expression], arg_kinds: list[ArgKind], context: Context, arg_names: Sequence[str | None] | None = None, object_type: Type | None = None, ) -> Type: raise NotImplementedError @abstractmethod def method_fullname(self, object_type: Type, method_name: str) -> str | None: raise NotImplementedError @abstractmethod def check_method_call_by_name( self, method: str, base_type: Type, args: list[Expression], arg_kinds: list[ArgKind], context: Context, original_type: Type | None = None, ) -> tuple[Type, Type]: raise NotImplementedError @abstractmethod def visit_typeddict_index_expr( self, td_type: TypedDictType, index: Expression, setitem: bool = False ) -> tuple[Type, set[str]]: raise NotImplementedError @abstractmethod def infer_literal_expr_type(self, value: LiteralValue, fallback_name: str) -> Type: raise NotImplementedError @abstractmethod def analyze_static_reference( self, node: SymbolNode, ctx: Context, is_lvalue: bool, *, include_modules: bool = True, suppress_errors: bool = False, ) -> Type: raise NotImplementedError @trait class TypeCheckerSharedApi(CheckerPluginInterface): plugin: Plugin module_refs: set[str] scope: CheckerScope checking_missing_await: bool allow_constructor_cache: bool @property @abstractmethod def expr_checker(self) -> ExpressionCheckerSharedApi: raise NotImplementedError @abstractmethod def named_type(self, name: str) -> Instance: raise NotImplementedError @abstractmethod def lookup_typeinfo(self, fullname: str) -> TypeInfo: raise NotImplementedError @abstractmethod def lookup_type(self, node: Expression) -> Type: raise NotImplementedError @abstractmethod def handle_cannot_determine_type(self, name: str, context: Context) -> None: raise NotImplementedError @abstractmethod def handle_partial_var_type( self, typ: PartialType, is_lvalue: bool, node: Var, context: Context ) -> Type: raise NotImplementedError @overload @abstractmethod def check_subtype( self, subtype: Type, supertype: Type, context: Context, msg: str, subtype_label: str | None = None, supertype_label: str | None = None, *, notes: list[str] | None = None, code: ErrorCode | None = None, outer_context: Context | None = None, ) -> bool: ... @overload @abstractmethod def check_subtype( self, subtype: Type, supertype: Type, context: Context, msg: ErrorMessage, subtype_label: str | None = None, supertype_label: str | None = None, *, notes: list[str] | None = None, outer_context: Context | None = None, ) -> bool: ... # Unfortunately, mypyc doesn't support abstract overloads yet. @abstractmethod def check_subtype( self, subtype: Type, supertype: Type, context: Context, msg: str | ErrorMessage, subtype_label: str | None = None, supertype_label: str | None = None, *, notes: list[str] | None = None, code: ErrorCode | None = None, outer_context: Context | None = None, ) -> bool: raise NotImplementedError @abstractmethod def get_final_context(self) -> bool: raise NotImplementedError @overload @abstractmethod def conditional_types_with_intersection( self, expr_type: Type, type_ranges: list[TypeRange] | None, ctx: Context, default: None = None, ) -> tuple[Type | None, Type | None]: ... @overload @abstractmethod def conditional_types_with_intersection( self, expr_type: Type, type_ranges: list[TypeRange] | None, ctx: Context, default: Type ) -> tuple[Type, Type]: ... # Unfortunately, mypyc doesn't support abstract overloads yet. @abstractmethod def conditional_types_with_intersection( self, expr_type: Type, type_ranges: list[TypeRange] | None, ctx: Context, default: Type | None = None, ) -> tuple[Type | None, Type | None]: raise NotImplementedError @abstractmethod def check_deprecated(self, node: Node | None, context: Context) -> None: raise NotImplementedError @abstractmethod def warn_deprecated(self, node: Node | None, context: Context) -> None: raise NotImplementedError @abstractmethod def type_is_iterable(self, type: Type) -> bool: raise NotImplementedError @abstractmethod def iterable_item_type( self, it: Instance | CallableType | TypeType | Overloaded, context: Context ) -> Type: raise NotImplementedError @abstractmethod @contextmanager def checking_await_set(self) -> Iterator[None]: raise NotImplementedError @abstractmethod def get_precise_awaitable_type(self, typ: Type, local_errors: ErrorWatcher) -> Type | None: raise NotImplementedError @abstractmethod def add_any_attribute_to_type(self, typ: Type, name: str) -> Type: raise NotImplementedError @abstractmethod def is_defined_in_stub(self, typ: Instance, /) -> bool: raise NotImplementedError class CheckerScope: # We keep two stacks combined, to maintain the relative order stack: list[TypeInfo | FuncItem | MypyFile] def __init__(self, module: MypyFile) -> None: self.stack = [module] def current_function(self) -> FuncItem | None: for e in reversed(self.stack): if isinstance(e, FuncItem): return e return None def top_level_function(self) -> FuncItem | None: """Return top-level non-lambda function.""" for e in self.stack: if isinstance(e, FuncItem) and not isinstance(e, LambdaExpr): return e return None def active_class(self) -> TypeInfo | None: if isinstance(self.stack[-1], TypeInfo): return self.stack[-1] return None def enclosing_class(self, func: FuncItem | None = None) -> TypeInfo | None: """Is there a class *directly* enclosing this function?""" func = func or self.current_function() assert func, "This method must be called from inside a function" index = self.stack.index(func) assert index, "CheckerScope stack must always start with a module" enclosing = self.stack[index - 1] if isinstance(enclosing, TypeInfo): return enclosing return None def active_self_type(self) -> Instance | TupleType | None: """An instance or tuple type representing the current class. This returns None unless we are in class body or in a method. In particular, inside a function nested in method this returns None. """ info = self.active_class() if not info and self.current_function(): info = self.enclosing_class() if info: return fill_typevars(info) return None def current_self_type(self) -> Instance | TupleType | None: """Same as active_self_type() but handle functions nested in methods.""" for item in reversed(self.stack): if isinstance(item, TypeInfo): return fill_typevars(item) return None def is_top_level(self) -> bool: """Is current scope top-level (no classes or functions)?""" return len(self.stack) == 1 @contextmanager def push_function(self, item: FuncItem) -> Iterator[None]: self.stack.append(item) yield self.stack.pop() @contextmanager def push_class(self, info: TypeInfo) -> Iterator[None]: self.stack.append(info) yield self.stack.pop() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/checker_state.py0000644000175100017510000000153215112307767016434 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterator from contextlib import contextmanager from typing import Final from mypy.checker_shared import TypeCheckerSharedApi # This is global mutable state. Don't add anything here unless there's a very # good reason. class TypeCheckerState: # Wrap this in a class since it's faster that using a module-level attribute. def __init__(self, type_checker: TypeCheckerSharedApi | None) -> None: # Value varies by file being processed self.type_checker = type_checker @contextmanager def set(self, value: TypeCheckerSharedApi) -> Iterator[None]: saved = self.type_checker self.type_checker = value try: yield finally: self.type_checker = saved checker_state: Final = TypeCheckerState(type_checker=None) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/checkexpr.py0000644000175100017510000111773315112307767015620 0ustar00runnerrunner"""Expression type checker. This file is conceptually part of TypeChecker.""" from __future__ import annotations import enum import itertools import time from collections import defaultdict from collections.abc import Iterable, Iterator, Sequence from contextlib import contextmanager, nullcontext from typing import Callable, ClassVar, Final, Optional, cast, overload from typing_extensions import TypeAlias as _TypeAlias, assert_never import mypy.checker import mypy.errorcodes as codes from mypy import applytype, erasetype, join, message_registry, nodes, operators, types from mypy.argmap import ArgTypeExpander, map_actuals_to_formals, map_formals_to_actuals from mypy.checker_shared import ExpressionCheckerSharedApi from mypy.checkmember import analyze_member_access, has_operator from mypy.checkstrformat import StringFormatterChecker from mypy.constant_fold import constant_fold_expr from mypy.erasetype import erase_type, remove_instance_last_known_values, replace_meta_vars from mypy.errors import ErrorInfo, ErrorWatcher, report_internal_error from mypy.expandtype import ( expand_type, expand_type_by_instance, freshen_all_functions_type_vars, freshen_function_type_vars, ) from mypy.exprtotype import TypeTranslationError, expr_to_unanalyzed_type from mypy.infer import ArgumentInferContext, infer_function_type_arguments, infer_type_arguments from mypy.literals import literal from mypy.maptype import map_instance_to_supertype from mypy.meet import is_overlapping_types, narrow_declared_type from mypy.message_registry import ErrorMessage from mypy.messages import MessageBuilder, format_type from mypy.nodes import ( ARG_NAMED, ARG_POS, ARG_STAR, ARG_STAR2, IMPLICITLY_ABSTRACT, LAMBDA_NAME, LITERAL_TYPE, REVEAL_LOCALS, REVEAL_TYPE, UNBOUND_IMPORTED, ArgKind, AssertTypeExpr, AssignmentExpr, AwaitExpr, BytesExpr, CallExpr, CastExpr, ComparisonExpr, ComplexExpr, ConditionalExpr, Context, Decorator, DictExpr, DictionaryComprehension, EllipsisExpr, EnumCallExpr, Expression, FloatExpr, FuncDef, GeneratorExpr, IndexExpr, IntExpr, LambdaExpr, ListComprehension, ListExpr, MaybeTypeExpression, MemberExpr, MypyFile, NamedTupleExpr, NameExpr, NewTypeExpr, NotParsed, OpExpr, OverloadedFuncDef, ParamSpecExpr, PlaceholderNode, PromoteExpr, RefExpr, RevealExpr, SetComprehension, SetExpr, SliceExpr, StarExpr, StrExpr, SuperExpr, SymbolNode, SymbolTableNode, TempNode, TupleExpr, TypeAlias, TypeAliasExpr, TypeApplication, TypedDictExpr, TypeFormExpr, TypeInfo, TypeVarExpr, TypeVarLikeExpr, TypeVarTupleExpr, UnaryExpr, Var, YieldExpr, YieldFromExpr, get_member_expr_fullname, ) from mypy.options import PRECISE_TUPLE_TYPES from mypy.plugin import ( FunctionContext, FunctionSigContext, MethodContext, MethodSigContext, Plugin, ) from mypy.semanal_enum import ENUM_BASES from mypy.state import state from mypy.subtypes import ( find_member, is_equivalent, is_same_type, is_subtype, non_method_protocol_members, ) from mypy.traverser import ( all_name_and_member_expressions, has_await_expression, has_str_expression, ) from mypy.tvar_scope import TypeVarLikeScope from mypy.typeanal import ( TypeAnalyser, check_for_explicit_any, fix_instance, has_any_from_unimported_type, instantiate_type_alias, make_optional_type, set_any_tvars, validate_instance, ) from mypy.typeops import ( callable_type, custom_special_method, erase_to_union_or_bound, false_only, fixup_partial_type, freeze_all_type_vars, function_type, get_all_type_vars, get_type_vars, is_literal_type_like, make_simplified_union, simple_literal_type, true_only, try_expanding_sum_type_to_union, try_getting_str_literals, tuple_fallback, type_object_type, ) from mypy.types import ( LITERAL_TYPE_NAMES, TUPLE_LIKE_INSTANCE_NAMES, AnyType, CallableType, DeletedType, ErasedType, ExtraAttrs, FunctionLike, Instance, LiteralType, LiteralValue, NoneType, Overloaded, Parameters, ParamSpecFlavor, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, find_unpack_in_list, flatten_nested_tuples, flatten_nested_unions, get_proper_type, get_proper_types, has_recursive_types, has_type_vars, is_named_instance, split_with_prefix_and_suffix, ) from mypy.types_utils import ( is_generic_instance, is_overlapping_none, is_self_type_like, remove_optional, ) from mypy.typestate import type_state from mypy.typevars import fill_typevars from mypy.visitor import ExpressionVisitor # Type of callback user for checking individual function arguments. See # check_args() below for details. ArgChecker: _TypeAlias = Callable[ [Type, Type, ArgKind, Type, int, int, CallableType, Optional[Type], Context, Context], None ] # Maximum nesting level for math union in overloads, setting this to large values # may cause performance issues. The reason is that although union math algorithm we use # nicely captures most corner cases, its worst case complexity is exponential, # see https://github.com/python/mypy/pull/5255#discussion_r196896335 for discussion. MAX_UNIONS: Final = 5 # Types considered safe for comparisons with --strict-equality due to known behaviour of __eq__. # NOTE: All these types are subtypes of AbstractSet. OVERLAPPING_TYPES_ALLOWLIST: Final = [ "builtins.set", "builtins.frozenset", "typing.KeysView", "typing.ItemsView", "builtins._dict_keys", "builtins._dict_items", "_collections_abc.dict_keys", "_collections_abc.dict_items", ] OVERLAPPING_BYTES_ALLOWLIST: Final = { "builtins.bytes", "builtins.bytearray", "builtins.memoryview", } class TooManyUnions(Exception): """Indicates that we need to stop splitting unions in an attempt to match an overload in order to save performance. """ def allow_fast_container_literal(t: Type) -> bool: if isinstance(t, TypeAliasType) and t.is_recursive: return False t = get_proper_type(t) return isinstance(t, Instance) or ( isinstance(t, TupleType) and all(allow_fast_container_literal(it) for it in t.items) ) class Finished(Exception): """Raised if we can terminate overload argument check early (no match).""" @enum.unique class UseReverse(enum.Enum): """Used in `visit_op_expr` to enable or disable reverse method checks.""" DEFAULT = 0 ALWAYS = 1 NEVER = 2 USE_REVERSE_DEFAULT: Final = UseReverse.DEFAULT USE_REVERSE_ALWAYS: Final = UseReverse.ALWAYS USE_REVERSE_NEVER: Final = UseReverse.NEVER class ExpressionChecker(ExpressionVisitor[Type], ExpressionCheckerSharedApi): """Expression type checker. This class works closely together with checker.TypeChecker. """ # Some services are provided by a TypeChecker instance. chk: mypy.checker.TypeChecker # This is shared with TypeChecker, but stored also here for convenience. msg: MessageBuilder # Type context for type inference type_context: list[Type | None] # cache resolved types in some cases resolved_type: dict[Expression, ProperType] strfrm_checker: StringFormatterChecker plugin: Plugin _arg_infer_context_cache: ArgumentInferContext | None def __init__( self, chk: mypy.checker.TypeChecker, msg: MessageBuilder, plugin: Plugin, per_line_checking_time_ns: dict[int, int], ) -> None: """Construct an expression type checker.""" self.chk = chk self.msg = msg self.plugin = plugin self.per_line_checking_time_ns = per_line_checking_time_ns self.collect_line_checking_stats = chk.options.line_checking_stats is not None # Are we already visiting some expression? This is used to avoid double counting # time for nested expressions. self.in_expression = False self.type_context = [None] # Temporary overrides for expression types. This is currently # used by the union math in overloads. # TODO: refactor this to use a pattern similar to one in # multiassign_from_union, or maybe even combine the two? self.type_overrides: dict[Expression, Type] = {} self.strfrm_checker = StringFormatterChecker(self.chk, self.msg) self.resolved_type = {} # Callee in a call expression is in some sense both runtime context and # type context, because we support things like C[int](...). Store information # on whether current expression is a callee, to give better error messages # related to type context. self.is_callee = False type_state.infer_polymorphic = not self.chk.options.old_type_inference self._arg_infer_context_cache = None self.expr_cache: dict[ tuple[Expression, Type | None], tuple[int, Type, list[ErrorInfo], dict[Expression, Type]], ] = {} self.in_lambda_expr = False self._literal_true: Instance | None = None self._literal_false: Instance | None = None def reset(self) -> None: self.resolved_type = {} self.expr_cache.clear() def visit_name_expr(self, e: NameExpr) -> Type: """Type check a name expression. It can be of any kind: local, member or global. """ result = self.analyze_ref_expr(e) narrowed = self.narrow_type_from_binder(e, result) self.chk.check_deprecated(e.node, e) return narrowed def analyze_ref_expr(self, e: RefExpr, lvalue: bool = False) -> Type: result: Type | None = None node = e.node if isinstance(e, NameExpr) and e.is_special_form: # A special form definition, nothing to check here. return AnyType(TypeOfAny.special_form) if isinstance(node, Var): # Variable reference. result = self.analyze_var_ref(node, e) if isinstance(result, PartialType): result = self.chk.handle_partial_var_type(result, lvalue, node, e) elif isinstance(node, Decorator): result = self.analyze_var_ref(node.var, e) elif isinstance(node, OverloadedFuncDef): if node.type is None: if self.chk.in_checked_function() and node.items: self.chk.handle_cannot_determine_type(node.name, e) result = AnyType(TypeOfAny.from_error) else: result = node.type elif isinstance(node, (FuncDef, TypeInfo, TypeAlias, MypyFile, TypeVarLikeExpr)): result = self.analyze_static_reference(node, e, e.is_alias_rvalue or lvalue) else: if isinstance(node, PlaceholderNode): assert False, f"PlaceholderNode {node.fullname!r} leaked to checker" # Unknown reference; use any type implicitly to avoid # generating extra type errors. result = AnyType(TypeOfAny.from_error) if isinstance(node, TypeInfo): if isinstance(result, CallableType) and isinstance( # type: ignore[misc] result.ret_type, Instance ): # We need to set correct line and column # TODO: always do this in type_object_type by passing the original context result.ret_type.line = e.line result.ret_type.column = e.column if is_type_type_context(self.type_context[-1]): # This is the type in a type[] expression, so substitute type # variables with Any. result = erasetype.erase_typevars(result) assert result is not None return result def analyze_static_reference( self, node: SymbolNode, ctx: Context, is_lvalue: bool, *, include_modules: bool = True, suppress_errors: bool = False, ) -> Type: """ This is the version of analyze_ref_expr() that doesn't do any deferrals. This function can be used by member access to "static" attributes. For example, when accessing module attributes in protocol checks, or accessing attributes of special kinds (like TypeAlias, TypeInfo, etc.) on an instance or class object. # TODO: merge with analyze_ref_expr() when we are confident about performance. """ if isinstance(node, (Var, Decorator, OverloadedFuncDef)): return node.type or AnyType(TypeOfAny.special_form) elif isinstance(node, FuncDef): return function_type(node, self.named_type("builtins.function")) elif isinstance(node, TypeInfo): # Reference to a type object. if node.typeddict_type: # We special-case TypedDict, because they don't define any constructor. return self.typeddict_callable(node) elif node.fullname == "types.NoneType": # We special case NoneType, because its stub definition is not related to None. return TypeType(NoneType()) else: return type_object_type(node, self.named_type) elif isinstance(node, TypeAlias): # Something that refers to a type alias appears in runtime context. # Note that we suppress bogus errors for alias redefinitions, # they are already reported in semanal.py. with self.msg.filter_errors() if suppress_errors else nullcontext(): return self.alias_type_in_runtime_context( node, ctx=ctx, alias_definition=is_lvalue ) elif isinstance(node, TypeVarExpr): return self.named_type("typing.TypeVar") elif isinstance(node, (ParamSpecExpr, TypeVarTupleExpr)): return self.object_type() elif isinstance(node, MypyFile): # Reference to a module object. return self.module_type(node) if include_modules else AnyType(TypeOfAny.special_form) return AnyType(TypeOfAny.from_error) def analyze_var_ref(self, var: Var, context: Context) -> Type: if var.type: var_type = get_proper_type(var.type) if isinstance(var_type, Instance): if var.fullname == "typing.Any": # The typeshed type is 'object'; give a more useful type in runtime context return self.named_type("typing._SpecialForm") if self.is_literal_context() and var_type.last_known_value is not None: return var_type.last_known_value if var.name in {"True", "False"}: return self.infer_literal_expr_type(var.name == "True", "builtins.bool") return var.type else: if not var.is_ready and self.chk.in_checked_function(): self.chk.handle_cannot_determine_type(var.name, context) # Implicit 'Any' type. return AnyType(TypeOfAny.special_form) def module_type(self, node: MypyFile) -> Instance: try: result = self.named_type("types.ModuleType") except KeyError: # In test cases might 'types' may not be available. # Fall back to a dummy 'object' type instead to # avoid a crash. # Make a copy so that we don't set extra_attrs (below) on a shared instance. result = self.named_type("builtins.object").copy_modified() module_attrs: dict[str, Type] = {} immutable = set() for name, n in node.names.items(): if not n.module_public: continue if isinstance(n.node, Var) and n.node.is_final: immutable.add(name) if n.node is None: module_attrs[name] = AnyType(TypeOfAny.from_error) else: # TODO: what to do about nested module references? # They are non-trivial because there may be import cycles. module_attrs[name] = self.analyze_static_reference( n.node, n.node, False, include_modules=False, suppress_errors=True ) result.extra_attrs = ExtraAttrs(module_attrs, immutable, node.fullname) return result def visit_call_expr(self, e: CallExpr, allow_none_return: bool = False) -> Type: """Type check a call expression.""" if e.analyzed: if isinstance(e.analyzed, NamedTupleExpr) and not e.analyzed.is_typed: # Type check the arguments, but ignore the results. This relies # on the typeshed stubs to type check the arguments. self.visit_call_expr_inner(e) # It's really a special form that only looks like a call. return self.accept(e.analyzed, self.type_context[-1]) return self.visit_call_expr_inner(e, allow_none_return=allow_none_return) def refers_to_typeddict(self, base: Expression) -> bool: if not isinstance(base, RefExpr): return False if isinstance(base.node, TypeInfo) and base.node.typeddict_type is not None: # Direct reference. return True return isinstance(base.node, TypeAlias) and isinstance( get_proper_type(base.node.target), TypedDictType ) def visit_call_expr_inner(self, e: CallExpr, allow_none_return: bool = False) -> Type: if ( self.refers_to_typeddict(e.callee) or isinstance(e.callee, IndexExpr) and self.refers_to_typeddict(e.callee.base) ): typeddict_callable = get_proper_type(self.accept(e.callee, is_callee=True)) if isinstance(typeddict_callable, CallableType): typeddict_type = get_proper_type(typeddict_callable.ret_type) assert isinstance(typeddict_type, TypedDictType) return self.check_typeddict_call( typeddict_type, e.arg_kinds, e.arg_names, e.args, e, typeddict_callable ) if ( isinstance(e.callee, NameExpr) and e.callee.name in ("isinstance", "issubclass") and len(e.args) == 2 ): for typ in mypy.checker.flatten(e.args[1]): node = None if isinstance(typ, NameExpr): try: node = self.chk.lookup_qualified(typ.name) except KeyError: # Undefined names should already be reported in semantic analysis. pass if is_expr_literal_type(typ): self.msg.cannot_use_function_with_type(e.callee.name, "Literal", e) continue if node and isinstance(node.node, TypeAlias): target = get_proper_type(node.node.target) if isinstance(target, AnyType): self.msg.cannot_use_function_with_type(e.callee.name, "Any", e) continue if isinstance(target, NoneType): continue if ( isinstance(typ, IndexExpr) and isinstance(typ.analyzed, (TypeApplication, TypeAliasExpr)) ) or ( isinstance(typ, NameExpr) and node and isinstance(node.node, TypeAlias) and not node.node.no_args and not ( isinstance(union_target := get_proper_type(node.node.target), UnionType) and ( union_target.uses_pep604_syntax or self.chk.options.python_version >= (3, 10) ) ) ): self.msg.type_arguments_not_allowed(e) if isinstance(typ, RefExpr) and isinstance(typ.node, TypeInfo): if typ.node.typeddict_type: self.msg.cannot_use_function_with_type(e.callee.name, "TypedDict", e) elif typ.node.is_newtype: self.msg.cannot_use_function_with_type(e.callee.name, "NewType", e) self.try_infer_partial_type(e) type_context = None if isinstance(e.callee, LambdaExpr): formal_to_actual = map_actuals_to_formals( e.arg_kinds, e.arg_names, e.callee.arg_kinds, e.callee.arg_names, lambda i: self.accept(e.args[i]), ) arg_types = [ join.join_type_list([self.accept(e.args[j]) for j in formal_to_actual[i]]) for i in range(len(e.callee.arg_kinds)) ] type_context = CallableType( arg_types, e.callee.arg_kinds, e.callee.arg_names, ret_type=self.object_type(), fallback=self.named_type("builtins.function"), ) callee_type = get_proper_type( self.accept(e.callee, type_context, always_allow_any=True, is_callee=True) ) # Figure out the full name of the callee for plugin lookup. object_type = None member = None fullname = None if isinstance(e.callee, RefExpr): # There are two special cases where plugins might act: # * A "static" reference/alias to a class or function; # get_function_hook() will be invoked for these. fullname = e.callee.fullname or None if isinstance(e.callee.node, TypeAlias): target = get_proper_type(e.callee.node.target) if isinstance(target, Instance): fullname = target.type.fullname # * Call to a method on object that has a full name (see # method_fullname() for details on supported objects); # get_method_hook() and get_method_signature_hook() will # be invoked for these. if ( not fullname and isinstance(e.callee, MemberExpr) and self.chk.has_type(e.callee.expr) ): member = e.callee.name object_type = self.chk.lookup_type(e.callee.expr) if ( self.chk.options.disallow_untyped_calls and self.chk.in_checked_function() and isinstance(callee_type, CallableType) and callee_type.implicit and callee_type.name != LAMBDA_NAME ): if fullname is None and member is not None: assert object_type is not None fullname = self.method_fullname(object_type, member) if not fullname or not any( fullname == p or fullname.startswith(f"{p}.") for p in self.chk.options.untyped_calls_exclude ): self.msg.untyped_function_call(callee_type, e) ret_type = self.check_call_expr_with_callee_type( callee_type, e, fullname, object_type, member ) if isinstance(e.callee, RefExpr) and len(e.args) == 2: if e.callee.fullname in ("builtins.isinstance", "builtins.issubclass"): self.check_runtime_protocol_test(e) if e.callee.fullname == "builtins.issubclass": self.check_protocol_issubclass(e) if isinstance(e.callee, MemberExpr) and e.callee.name == "format": self.check_str_format_call(e) ret_type = get_proper_type(ret_type) if isinstance(ret_type, UnionType): ret_type = make_simplified_union(ret_type.items) if isinstance(ret_type, UninhabitedType) and not ret_type.ambiguous: self.chk.binder.unreachable() # Warn on calls to functions that always return None. The check # of ret_type is both a common-case optimization and prevents reporting # the error in dynamic functions (where it will be Any). if ( not allow_none_return and isinstance(ret_type, NoneType) and self.always_returns_none(e.callee) ): self.chk.msg.does_not_return_value(callee_type, e) return AnyType(TypeOfAny.from_error) return ret_type def check_str_format_call(self, e: CallExpr) -> None: """More precise type checking for str.format() calls on literals and folded constants.""" assert isinstance(e.callee, MemberExpr) format_value = None folded_callee_expr = constant_fold_expr(e.callee.expr, "") if isinstance(folded_callee_expr, str): format_value = folded_callee_expr elif self.chk.has_type(e.callee.expr): typ = get_proper_type(self.chk.lookup_type(e.callee.expr)) if ( isinstance(typ, Instance) and typ.type.is_enum and isinstance(typ.last_known_value, LiteralType) and isinstance(typ.last_known_value.value, str) ): value_type = typ.type.names[typ.last_known_value.value].type if isinstance(value_type, Type): typ = get_proper_type(value_type) base_typ = try_getting_literal(typ) if isinstance(base_typ, LiteralType) and isinstance(base_typ.value, str): format_value = base_typ.value if format_value is not None: self.strfrm_checker.check_str_format_call(e, format_value) def method_fullname(self, object_type: Type, method_name: str) -> str | None: """Convert a method name to a fully qualified name, based on the type of the object that it is invoked on. Return `None` if the name of `object_type` cannot be determined. """ object_type = get_proper_type(object_type) if isinstance(object_type, CallableType) and object_type.is_type_obj(): # For class method calls, object_type is a callable representing the class object. # We "unwrap" it to a regular type, as the class/instance method difference doesn't # affect the fully qualified name. object_type = get_proper_type(object_type.ret_type) elif isinstance(object_type, TypeType): object_type = object_type.item type_name = None if isinstance(object_type, Instance): type_name = object_type.type.fullname elif isinstance(object_type, (TypedDictType, LiteralType)): info = object_type.fallback.type.get_containing_type_info(method_name) type_name = info.fullname if info is not None else None elif isinstance(object_type, TupleType): type_name = tuple_fallback(object_type).type.fullname if type_name: return f"{type_name}.{method_name}" else: return None def always_returns_none(self, node: Expression) -> bool: """Check if `node` refers to something explicitly annotated as only returning None.""" if isinstance(node, RefExpr): if self.defn_returns_none(node.node): return True if isinstance(node, MemberExpr) and node.node is None: # instance or class attribute typ = get_proper_type(self.chk.lookup_type(node.expr)) if isinstance(typ, Instance): info = typ.type elif isinstance(typ, CallableType) and typ.is_type_obj(): ret_type = get_proper_type(typ.ret_type) if isinstance(ret_type, Instance): info = ret_type.type else: return False else: return False sym = info.get(node.name) if sym and self.defn_returns_none(sym.node): return True return False def defn_returns_none(self, defn: SymbolNode | None) -> bool: """Check if `defn` can _only_ return None.""" if isinstance(defn, FuncDef): return isinstance(defn.type, CallableType) and isinstance( get_proper_type(defn.type.ret_type), NoneType ) if isinstance(defn, OverloadedFuncDef): return all(self.defn_returns_none(item) for item in defn.items) if isinstance(defn, Var): typ = get_proper_type(defn.type) if ( not defn.is_inferred and isinstance(typ, CallableType) and isinstance(get_proper_type(typ.ret_type), NoneType) ): return True if isinstance(typ, Instance): sym = typ.type.get("__call__") if sym and self.defn_returns_none(sym.node): return True return False def check_runtime_protocol_test(self, e: CallExpr) -> None: for expr in mypy.checker.flatten(e.args[1]): tp = get_proper_type(self.chk.lookup_type(expr)) if ( isinstance(tp, FunctionLike) and tp.is_type_obj() and tp.type_object().is_protocol and not tp.type_object().runtime_protocol ): self.chk.fail(message_registry.RUNTIME_PROTOCOL_EXPECTED, e) def check_protocol_issubclass(self, e: CallExpr) -> None: for expr in mypy.checker.flatten(e.args[1]): tp = get_proper_type(self.chk.lookup_type(expr)) if isinstance(tp, FunctionLike) and tp.is_type_obj() and tp.type_object().is_protocol: attr_members = non_method_protocol_members(tp.type_object()) if attr_members: self.chk.msg.report_non_method_protocol(tp.type_object(), attr_members, e) def check_typeddict_call( self, callee: TypedDictType, arg_kinds: list[ArgKind], arg_names: Sequence[str | None], args: list[Expression], context: Context, orig_callee: Type | None, ) -> Type: if args and all(ak in (ARG_NAMED, ARG_STAR2) for ak in arg_kinds): # ex: Point(x=42, y=1337, **extras) # This is a bit ugly, but this is a price for supporting all possible syntax # variants for TypedDict constructors. kwargs = zip([StrExpr(n) if n is not None else None for n in arg_names], args) result = self.validate_typeddict_kwargs(kwargs=kwargs, callee=callee) if result is not None: validated_kwargs, always_present_keys = result return self.check_typeddict_call_with_kwargs( callee, validated_kwargs, context, orig_callee, always_present_keys ) return AnyType(TypeOfAny.from_error) if len(args) == 1 and arg_kinds[0] == ARG_POS: unique_arg = args[0] if isinstance(unique_arg, DictExpr): # ex: Point({'x': 42, 'y': 1337, **extras}) return self.check_typeddict_call_with_dict( callee, unique_arg.items, context, orig_callee ) if isinstance(unique_arg, CallExpr) and isinstance(unique_arg.analyzed, DictExpr): # ex: Point(dict(x=42, y=1337, **extras)) return self.check_typeddict_call_with_dict( callee, unique_arg.analyzed.items, context, orig_callee ) if not args: # ex: EmptyDict() return self.check_typeddict_call_with_kwargs(callee, {}, context, orig_callee, set()) self.chk.fail(message_registry.INVALID_TYPEDDICT_ARGS, context) return AnyType(TypeOfAny.from_error) def validate_typeddict_kwargs( self, kwargs: Iterable[tuple[Expression | None, Expression]], callee: TypedDictType ) -> tuple[dict[str, list[Expression]], set[str]] | None: # All (actual or mapped from ** unpacks) expressions that can match given key. result = defaultdict(list) # Keys that are guaranteed to be present no matter what (e.g. for all items of a union) always_present_keys = set() # Indicates latest encountered ** unpack among items. last_star_found = None for item_name_expr, item_arg in kwargs: if item_name_expr: key_type = self.accept(item_name_expr) values = try_getting_str_literals(item_name_expr, key_type) literal_value = None if values and len(values) == 1: literal_value = values[0] if literal_value is None: key_context = item_name_expr or item_arg self.chk.fail( message_registry.TYPEDDICT_KEY_MUST_BE_STRING_LITERAL, key_context, code=codes.LITERAL_REQ, ) return None else: # A directly present key unconditionally shadows all previously found # values from ** items. # TODO: for duplicate keys, type-check all values. result[literal_value] = [item_arg] always_present_keys.add(literal_value) else: last_star_found = item_arg if not self.validate_star_typeddict_item( item_arg, callee, result, always_present_keys ): return None if self.chk.options.extra_checks and last_star_found is not None: absent_keys = [] for key in callee.items: if key not in callee.required_keys and key not in result: absent_keys.append(key) if absent_keys: # Having an optional key not explicitly declared by a ** unpacked # TypedDict is unsafe, it may be an (incompatible) subtype at runtime. # TODO: catch the cases where a declared key is overridden by a subsequent # ** item without it (and not again overridden with complete ** item). self.msg.non_required_keys_absent_with_star(absent_keys, last_star_found) return result, always_present_keys def validate_star_typeddict_item( self, item_arg: Expression, callee: TypedDictType, result: dict[str, list[Expression]], always_present_keys: set[str], ) -> bool: """Update keys/expressions from a ** expression in TypedDict constructor. Note `result` and `always_present_keys` are updated in place. Return true if the expression `item_arg` may valid in `callee` TypedDict context. """ inferred = get_proper_type(self.accept(item_arg, type_context=callee)) possible_tds = [] if isinstance(inferred, TypedDictType): possible_tds = [inferred] elif isinstance(inferred, UnionType): for item in get_proper_types(inferred.relevant_items()): if isinstance(item, TypedDictType): possible_tds.append(item) elif not self.valid_unpack_fallback_item(item): self.msg.unsupported_target_for_star_typeddict(item, item_arg) return False elif not self.valid_unpack_fallback_item(inferred): self.msg.unsupported_target_for_star_typeddict(inferred, item_arg) return False all_keys: set[str] = set() for td in possible_tds: all_keys |= td.items.keys() for key in all_keys: arg = TempNode( UnionType.make_union([td.items[key] for td in possible_tds if key in td.items]) ) arg.set_line(item_arg) if all(key in td.required_keys for td in possible_tds): always_present_keys.add(key) # Always present keys override previously found values. This is done # to support use cases like `Config({**defaults, **overrides})`, where # some `overrides` types are narrower that types in `defaults`, and # former are too wide for `Config`. if result[key]: first = result[key][0] if not isinstance(first, TempNode): # We must always preserve any non-synthetic values, so that # we will accept them even if they are shadowed. result[key] = [first, arg] else: result[key] = [arg] else: result[key] = [arg] else: # If this key is not required at least in some item of a union # it may not shadow previous item, so we need to type check both. result[key].append(arg) return True def valid_unpack_fallback_item(self, typ: ProperType) -> bool: if isinstance(typ, AnyType): return True if not isinstance(typ, Instance) or not typ.type.has_base("typing.Mapping"): return False mapped = map_instance_to_supertype(typ, self.chk.lookup_typeinfo("typing.Mapping")) return all(isinstance(a, AnyType) for a in get_proper_types(mapped.args)) def match_typeddict_call_with_dict( self, callee: TypedDictType, kwargs: list[tuple[Expression | None, Expression]], context: Context, ) -> bool: result = self.validate_typeddict_kwargs(kwargs=kwargs, callee=callee) if result is not None: validated_kwargs, _ = result return callee.required_keys <= set(validated_kwargs.keys()) <= set(callee.items.keys()) else: return False def check_typeddict_call_with_dict( self, callee: TypedDictType, kwargs: list[tuple[Expression | None, Expression]], context: Context, orig_callee: Type | None, ) -> Type: result = self.validate_typeddict_kwargs(kwargs=kwargs, callee=callee) if result is not None: validated_kwargs, always_present_keys = result return self.check_typeddict_call_with_kwargs( callee, kwargs=validated_kwargs, context=context, orig_callee=orig_callee, always_present_keys=always_present_keys, ) else: return AnyType(TypeOfAny.from_error) def typeddict_callable(self, info: TypeInfo) -> CallableType: """Construct a reasonable type for a TypedDict type in runtime context. If it appears as a callee, it will be special-cased anyway, e.g. it is also allowed to accept a single positional argument if it is a dict literal. Note it is not safe to move this to type_object_type() since it will crash on plugin-generated TypedDicts, that may not have the special_alias. """ assert info.special_alias is not None target = info.special_alias.target assert isinstance(target, ProperType) and isinstance(target, TypedDictType) return self.typeddict_callable_from_context(target, info.defn.type_vars) def typeddict_callable_from_context( self, callee: TypedDictType, variables: Sequence[TypeVarLikeType] | None = None ) -> CallableType: return CallableType( list(callee.items.values()), [ ArgKind.ARG_NAMED if name in callee.required_keys else ArgKind.ARG_NAMED_OPT for name in callee.items ], list(callee.items.keys()), callee, self.named_type("builtins.type"), variables=variables, is_bound=True, ) def check_typeddict_call_with_kwargs( self, callee: TypedDictType, kwargs: dict[str, list[Expression]], context: Context, orig_callee: Type | None, always_present_keys: set[str], ) -> Type: actual_keys = kwargs.keys() if callee.to_be_mutated: assigned_readonly_keys = actual_keys & callee.readonly_keys if assigned_readonly_keys: self.msg.readonly_keys_mutated(assigned_readonly_keys, context=context) if not ( callee.required_keys <= always_present_keys and actual_keys <= callee.items.keys() ): if not (actual_keys <= callee.items.keys()): self.msg.unexpected_typeddict_keys( callee, expected_keys=[ key for key in callee.items.keys() if key in callee.required_keys or key in actual_keys ], actual_keys=list(actual_keys), context=context, ) if not (callee.required_keys <= always_present_keys): self.msg.unexpected_typeddict_keys( callee, expected_keys=[ key for key in callee.items.keys() if key in callee.required_keys ], actual_keys=[ key for key in always_present_keys if key in callee.required_keys ], context=context, ) if callee.required_keys > actual_keys: # found_set is a sub-set of the required_keys # This means we're missing some keys and as such, we can't # properly type the object return AnyType(TypeOfAny.from_error) orig_callee = get_proper_type(orig_callee) if isinstance(orig_callee, CallableType): infer_callee = orig_callee else: # Try reconstructing from type context. if callee.fallback.type.special_alias is not None: infer_callee = self.typeddict_callable(callee.fallback.type) else: # Likely a TypedDict type generated by a plugin. infer_callee = self.typeddict_callable_from_context(callee) # We don't show any errors, just infer types in a generic TypedDict type, # a custom error message will be given below, if there are errors. with self.msg.filter_errors(), self.chk.local_type_map: orig_ret_type, _ = self.check_callable_call( infer_callee, # We use first expression for each key to infer type variables of a generic # TypedDict. This is a bit arbitrary, but in most cases will work better than # trying to infer a union or a join. [args[0] for args in kwargs.values()], [ArgKind.ARG_NAMED] * len(kwargs), context, list(kwargs.keys()), None, None, None, ) ret_type = get_proper_type(orig_ret_type) if not isinstance(ret_type, TypedDictType): # If something went really wrong, type-check call with original type, # this may give a better error message. ret_type = callee for item_name, item_expected_type in ret_type.items.items(): if item_name in kwargs: item_values = kwargs[item_name] for item_value in item_values: self.chk.check_simple_assignment( lvalue_type=item_expected_type, rvalue=item_value, context=item_value, msg=ErrorMessage( message_registry.INCOMPATIBLE_TYPES.value, code=codes.TYPEDDICT_ITEM ), lvalue_name=f'TypedDict item "{item_name}"', rvalue_name="expression", ) return orig_ret_type def get_partial_self_var(self, expr: MemberExpr) -> Var | None: """Get variable node for a partial self attribute. If the expression is not a self attribute, or attribute is not variable, or variable is not partial, return None. """ if not ( isinstance(expr.expr, NameExpr) and isinstance(expr.expr.node, Var) and expr.expr.node.is_self ): # Not a self.attr expression. return None info = self.chk.scope.enclosing_class() if not info or expr.name not in info.names: # Don't mess with partial types in superclasses. return None sym = info.names[expr.name] if isinstance(sym.node, Var) and isinstance(sym.node.type, PartialType): return sym.node return None # Types and methods that can be used to infer partial types. item_args: ClassVar[dict[str, list[str]]] = { "builtins.list": ["append"], "builtins.set": ["add", "discard"], } container_args: ClassVar[dict[str, dict[str, list[str]]]] = { "builtins.list": {"extend": ["builtins.list"]}, "builtins.dict": {"update": ["builtins.dict"]}, "collections.OrderedDict": {"update": ["builtins.dict"]}, "builtins.set": {"update": ["builtins.set", "builtins.list"]}, } def try_infer_partial_type(self, e: CallExpr) -> None: """Try to make partial type precise from a call.""" if not isinstance(e.callee, MemberExpr): return callee = e.callee if isinstance(callee.expr, RefExpr): # Call a method with a RefExpr callee, such as 'x.method(...)'. ret = self.get_partial_var(callee.expr) if ret is None: return var, partial_types = ret typ = self.try_infer_partial_value_type_from_call(e, callee.name, var) # Var may be deleted from partial_types in try_infer_partial_value_type_from_call if typ is not None and var in partial_types: self.chk.replace_partial_type(var, typ, partial_types) elif isinstance(callee.expr, IndexExpr) and isinstance(callee.expr.base, RefExpr): # Call 'x[y].method(...)'; may infer type of 'x' if it's a partial defaultdict. if callee.expr.analyzed is not None: return # A special form base = callee.expr.base index = callee.expr.index ret = self.get_partial_var(base) if ret is None: return var, partial_types = ret partial_type = get_partial_instance_type(var.type) if partial_type is None or partial_type.value_type is None: return value_type = self.try_infer_partial_value_type_from_call(e, callee.name, var) if value_type is not None: # Infer key type. key_type = self.accept(index) if mypy.checker.is_valid_inferred_type(key_type, self.chk.options): # Store inferred partial type. assert partial_type.type is not None typename = partial_type.type.fullname new_type = self.chk.named_generic_type(typename, [key_type, value_type]) self.chk.replace_partial_type(var, new_type, partial_types) def get_partial_var(self, ref: RefExpr) -> tuple[Var, dict[Var, Context]] | None: var = ref.node if var is None and isinstance(ref, MemberExpr): var = self.get_partial_self_var(ref) if not isinstance(var, Var): return None partial_types = self.chk.find_partial_types(var) if partial_types is None: return None return var, partial_types def try_infer_partial_value_type_from_call( self, e: CallExpr, methodname: str, var: Var ) -> Instance | None: """Try to make partial type precise from a call such as 'x.append(y)'.""" if self.chk.current_node_deferred: return None partial_type = get_partial_instance_type(var.type) if partial_type is None: return None if partial_type.value_type: typename = partial_type.value_type.type.fullname else: assert partial_type.type is not None typename = partial_type.type.fullname # Sometimes we can infer a full type for a partial List, Dict or Set type. # TODO: Don't infer argument expression twice. if ( typename in self.item_args and methodname in self.item_args[typename] and e.arg_kinds == [ARG_POS] ): item_type = self.accept(e.args[0]) if mypy.checker.is_valid_inferred_type(item_type, self.chk.options): return self.chk.named_generic_type(typename, [item_type]) elif ( typename in self.container_args and methodname in self.container_args[typename] and e.arg_kinds == [ARG_POS] ): arg_type = get_proper_type(self.accept(e.args[0])) if isinstance(arg_type, Instance): arg_typename = arg_type.type.fullname if arg_typename in self.container_args[typename][methodname]: if all( mypy.checker.is_valid_inferred_type(item_type, self.chk.options) for item_type in arg_type.args ): return self.chk.named_generic_type(typename, list(arg_type.args)) elif isinstance(arg_type, AnyType): return self.chk.named_type(typename) return None def apply_function_plugin( self, callee: CallableType, arg_kinds: list[ArgKind], arg_types: list[Type], arg_names: Sequence[str | None] | None, formal_to_actual: list[list[int]], args: list[Expression], fullname: str, object_type: Type | None, context: Context, ) -> Type: """Use special case logic to infer the return type of a specific named function/method. Caller must ensure that a plugin hook exists. There are two different cases: - If object_type is None, the caller must ensure that a function hook exists for fullname. - If object_type is not None, the caller must ensure that a method hook exists for fullname. Return the inferred return type. """ num_formals = len(callee.arg_types) formal_arg_types: list[list[Type]] = [[] for _ in range(num_formals)] formal_arg_exprs: list[list[Expression]] = [[] for _ in range(num_formals)] formal_arg_names: list[list[str | None]] = [[] for _ in range(num_formals)] formal_arg_kinds: list[list[ArgKind]] = [[] for _ in range(num_formals)] for formal, actuals in enumerate(formal_to_actual): for actual in actuals: formal_arg_types[formal].append(arg_types[actual]) formal_arg_exprs[formal].append(args[actual]) if arg_names: formal_arg_names[formal].append(arg_names[actual]) else: formal_arg_names[formal].append(None) formal_arg_kinds[formal].append(arg_kinds[actual]) if object_type is None: # Apply function plugin callback = self.plugin.get_function_hook(fullname) assert callback is not None # Assume that caller ensures this return callback( FunctionContext( arg_types=formal_arg_types, arg_kinds=formal_arg_kinds, callee_arg_names=callee.arg_names, arg_names=formal_arg_names, default_return_type=callee.ret_type, args=formal_arg_exprs, context=context, api=self.chk, ) ) else: # Apply method plugin method_callback = self.plugin.get_method_hook(fullname) assert method_callback is not None # Assume that caller ensures this object_type = get_proper_type(object_type) return method_callback( MethodContext( type=object_type, arg_types=formal_arg_types, arg_kinds=formal_arg_kinds, callee_arg_names=callee.arg_names, arg_names=formal_arg_names, default_return_type=callee.ret_type, args=formal_arg_exprs, context=context, api=self.chk, ) ) def apply_signature_hook( self, callee: FunctionLike, args: list[Expression], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, hook: Callable[[list[list[Expression]], CallableType], FunctionLike], ) -> FunctionLike: """Helper to apply a signature hook for either a function or method""" if isinstance(callee, CallableType): num_formals = len(callee.arg_kinds) formal_to_actual = map_actuals_to_formals( arg_kinds, arg_names, callee.arg_kinds, callee.arg_names, lambda i: self.accept(args[i]), ) formal_arg_exprs: list[list[Expression]] = [[] for _ in range(num_formals)] for formal, actuals in enumerate(formal_to_actual): for actual in actuals: formal_arg_exprs[formal].append(args[actual]) return hook(formal_arg_exprs, callee) else: assert isinstance(callee, Overloaded) items = [] for item in callee.items: adjusted = self.apply_signature_hook(item, args, arg_kinds, arg_names, hook) assert isinstance(adjusted, CallableType) items.append(adjusted) return Overloaded(items) def apply_function_signature_hook( self, callee: FunctionLike, args: list[Expression], arg_kinds: list[ArgKind], context: Context, arg_names: Sequence[str | None] | None, signature_hook: Callable[[FunctionSigContext], FunctionLike], ) -> FunctionLike: """Apply a plugin hook that may infer a more precise signature for a function.""" return self.apply_signature_hook( callee, args, arg_kinds, arg_names, (lambda args, sig: signature_hook(FunctionSigContext(args, sig, context, self.chk))), ) def apply_method_signature_hook( self, callee: FunctionLike, args: list[Expression], arg_kinds: list[ArgKind], context: Context, arg_names: Sequence[str | None] | None, object_type: Type, signature_hook: Callable[[MethodSigContext], FunctionLike], ) -> FunctionLike: """Apply a plugin hook that may infer a more precise signature for a method.""" pobject_type = get_proper_type(object_type) return self.apply_signature_hook( callee, args, arg_kinds, arg_names, ( lambda args, sig: signature_hook( MethodSigContext(pobject_type, args, sig, context, self.chk) ) ), ) def transform_callee_type( self, callable_name: str | None, callee: Type, args: list[Expression], arg_kinds: list[ArgKind], context: Context, arg_names: Sequence[str | None] | None = None, object_type: Type | None = None, ) -> Type: """Attempt to determine a more accurate signature for a method call. This is done by looking up and applying a method signature hook (if one exists for the given method name). If no matching method signature hook is found, callee is returned unmodified. The same happens if the arguments refer to a non-method callable (this is allowed so that the code calling transform_callee_type needs to perform fewer boilerplate checks). Note: this method is *not* called automatically as part of check_call, because in some cases check_call is called multiple times while checking a single call (for example when dealing with overloads). Instead, this method needs to be called explicitly (if appropriate) before the signature is passed to check_call. """ callee = get_proper_type(callee) if callable_name is not None and isinstance(callee, FunctionLike): if object_type is not None: method_sig_hook = self.plugin.get_method_signature_hook(callable_name) if method_sig_hook: return self.apply_method_signature_hook( callee, args, arg_kinds, context, arg_names, object_type, method_sig_hook ) else: function_sig_hook = self.plugin.get_function_signature_hook(callable_name) if function_sig_hook: return self.apply_function_signature_hook( callee, args, arg_kinds, context, arg_names, function_sig_hook ) return callee def is_generic_decorator_overload_call( self, callee_type: CallableType, args: list[Expression] ) -> Overloaded | None: """Check if this looks like an application of a generic function to overload argument.""" assert callee_type.variables if len(callee_type.arg_types) != 1 or len(args) != 1: # TODO: can we handle more general cases? return None if not isinstance(get_proper_type(callee_type.arg_types[0]), CallableType): return None if not isinstance(get_proper_type(callee_type.ret_type), CallableType): return None with self.chk.local_type_map: with self.msg.filter_errors(): arg_type = get_proper_type(self.accept(args[0], type_context=None)) if isinstance(arg_type, Overloaded): return arg_type return None def handle_decorator_overload_call( self, callee_type: CallableType, overloaded: Overloaded, ctx: Context ) -> tuple[Type, Type] | None: """Type-check application of a generic callable to an overload. We check call on each individual overload item, and then combine results into a new overload. This function should be only used if callee_type takes and returns a Callable. """ result = [] inferred_args = [] for item in overloaded.items: arg = TempNode(typ=item) with self.msg.filter_errors() as err: item_result, inferred_arg = self.check_call(callee_type, [arg], [ARG_POS], ctx) if err.has_new_errors(): # This overload doesn't match. continue p_item_result = get_proper_type(item_result) if not isinstance(p_item_result, CallableType): continue p_inferred_arg = get_proper_type(inferred_arg) if not isinstance(p_inferred_arg, CallableType): continue inferred_args.append(p_inferred_arg) result.append(p_item_result) if not result or not inferred_args: # None of the overload matched (or overload was initially malformed). return None return Overloaded(result), Overloaded(inferred_args) def check_call_expr_with_callee_type( self, callee_type: Type, e: CallExpr, callable_name: str | None, object_type: Type | None, member: str | None = None, ) -> Type: """Type check call expression. The callee_type should be used as the type of callee expression. In particular, in case of a union type this can be a particular item of the union, so that we can apply plugin hooks to each item. The 'member', 'callable_name' and 'object_type' are only used to call plugin hooks. If 'callable_name' is None but 'member' is not None (member call), try constructing 'callable_name' using 'object_type' (the base type on which the method is called), for example 'typing.Mapping.get'. """ if callable_name is None and member is not None: assert object_type is not None callable_name = self.method_fullname(object_type, member) object_type = get_proper_type(object_type) if callable_name: # Try to refine the call signature using plugin hooks before checking the call. callee_type = self.transform_callee_type( callable_name, callee_type, e.args, e.arg_kinds, e, e.arg_names, object_type ) # Unions are special-cased to allow plugins to act on each item in the union. elif member is not None and isinstance(object_type, UnionType): return self.check_union_call_expr(e, object_type, member) ret_type, callee_type = self.check_call( callee_type, e.args, e.arg_kinds, e, e.arg_names, callable_node=e.callee, callable_name=callable_name, object_type=object_type, ) proper_callee = get_proper_type(callee_type) if isinstance(e.callee, RefExpr) and isinstance(proper_callee, CallableType): # Cache it for find_isinstance_check() if proper_callee.type_guard is not None: e.callee.type_guard = proper_callee.type_guard if proper_callee.type_is is not None: e.callee.type_is = proper_callee.type_is return ret_type def check_union_call_expr(self, e: CallExpr, object_type: UnionType, member: str) -> Type: """Type check calling a member expression where the base type is a union.""" res: list[Type] = [] for typ in flatten_nested_unions(object_type.relevant_items()): # Member access errors are already reported when visiting the member expression. with self.msg.filter_errors(): item = analyze_member_access( member, typ, e, is_lvalue=False, is_super=False, is_operator=False, original_type=object_type, chk=self.chk, in_literal_context=self.is_literal_context(), self_type=typ, ) narrowed = self.narrow_type_from_binder(e.callee, item, skip_non_overlapping=True) if narrowed is None: continue callable_name = self.method_fullname(typ, member) item_object_type = typ if callable_name else None res.append( self.check_call_expr_with_callee_type(narrowed, e, callable_name, item_object_type) ) return make_simplified_union(res) def check_call( self, callee: Type, args: list[Expression], arg_kinds: list[ArgKind], context: Context, arg_names: Sequence[str | None] | None = None, callable_node: Expression | None = None, callable_name: str | None = None, object_type: Type | None = None, original_type: Type | None = None, ) -> tuple[Type, Type]: """Type check a call. Also infer type arguments if the callee is a generic function. Return (result type, inferred callee type). Arguments: callee: type of the called value args: actual argument expressions arg_kinds: contains nodes.ARG_* constant for each argument in args describing whether the argument is positional, *arg, etc. context: current expression context, used for inference. arg_names: names of arguments (optional) callable_node: associate the inferred callable type to this node, if specified callable_name: Fully-qualified name of the function/method to call, or None if unavailable (examples: 'builtins.open', 'typing.Mapping.get') object_type: If callable_name refers to a method, the type of the object on which the method is being called """ callee = get_proper_type(callee) if isinstance(callee, CallableType): if callee.variables: overloaded = self.is_generic_decorator_overload_call(callee, args) if overloaded is not None: # Special casing for inline application of generic callables to overloads. # Supporting general case would be tricky, but this should cover 95% of cases. overloaded_result = self.handle_decorator_overload_call( callee, overloaded, context ) if overloaded_result is not None: return overloaded_result return self.check_callable_call( callee, args, arg_kinds, context, arg_names, callable_node, callable_name, object_type, ) elif isinstance(callee, Overloaded): return self.check_overload_call( callee, args, arg_kinds, arg_names, callable_name, object_type, context ) elif isinstance(callee, AnyType) or not self.chk.in_checked_function(): return self.check_any_type_call(args, callee) elif isinstance(callee, UnionType): return self.check_union_call(callee, args, arg_kinds, arg_names, context) elif isinstance(callee, Instance): call_function = analyze_member_access( "__call__", callee, context, is_lvalue=False, is_super=False, is_operator=True, original_type=original_type or callee, chk=self.chk, in_literal_context=self.is_literal_context(), ) callable_name = callee.type.fullname + ".__call__" # Apply method signature hook, if one exists call_function = self.transform_callee_type( callable_name, call_function, args, arg_kinds, context, arg_names, callee ) result = self.check_call( call_function, args, arg_kinds, context, arg_names, callable_node, callable_name, callee, ) if callable_node: # check_call() stored "call_function" as the type, which is incorrect. # Override the type. self.chk.store_type(callable_node, callee) return result elif isinstance(callee, TypeVarType): return self.check_call( callee.upper_bound, args, arg_kinds, context, arg_names, callable_node ) elif isinstance(callee, TypeType): item = self.analyze_type_type_callee(callee.item, context) return self.check_call(item, args, arg_kinds, context, arg_names, callable_node) elif isinstance(callee, TupleType): return self.check_call( tuple_fallback(callee), args, arg_kinds, context, arg_names, callable_node, callable_name, object_type, original_type=callee, ) elif isinstance(callee, UninhabitedType): ret = UninhabitedType() ret.ambiguous = callee.ambiguous return callee, ret else: return self.msg.not_callable(callee, context), AnyType(TypeOfAny.from_error) def check_callable_call( self, callee: CallableType, args: list[Expression], arg_kinds: list[ArgKind], context: Context, arg_names: Sequence[str | None] | None, callable_node: Expression | None, callable_name: str | None, object_type: Type | None, ) -> tuple[Type, Type]: """Type check a call that targets a callable value. See the docstring of check_call for more information. """ # Always unpack **kwargs before checking a call. callee = callee.with_unpacked_kwargs().with_normalized_var_args() if callable_name is None and callee.name: callable_name = callee.name ret_type = get_proper_type(callee.ret_type) if callee.is_type_obj() and isinstance(ret_type, Instance): callable_name = ret_type.type.fullname if isinstance(callable_node, RefExpr) and callable_node.fullname in ENUM_BASES: # An Enum() call that failed SemanticAnalyzerPass2.check_enum_call(). return callee.ret_type, callee if ( callee.is_type_obj() and callee.type_object().is_protocol # Exception for Type[...] and not callee.from_type_type ): self.chk.fail( message_registry.CANNOT_INSTANTIATE_PROTOCOL.format(callee.type_object().name), context, ) elif ( callee.is_type_obj() and callee.type_object().is_abstract # Exception for Type[...] and not callee.from_type_type and not callee.type_object().fallback_to_any ): type = callee.type_object() # Determine whether the implicitly abstract attributes are functions with # None-compatible return types. abstract_attributes: dict[str, bool] = {} for attr_name, abstract_status in type.abstract_attributes: if abstract_status == IMPLICITLY_ABSTRACT: abstract_attributes[attr_name] = self.can_return_none(type, attr_name) else: abstract_attributes[attr_name] = False self.msg.cannot_instantiate_abstract_class( callee.type_object().name, abstract_attributes, context ) var_arg = callee.var_arg() if var_arg and isinstance(var_arg.typ, UnpackType): # It is hard to support multiple variadic unpacks (except for old-style *args: int), # fail gracefully to avoid crashes later. seen_unpack = False for arg, arg_kind in zip(args, arg_kinds): if arg_kind != ARG_STAR: continue arg_type = get_proper_type(self.accept(arg)) if not isinstance(arg_type, TupleType) or any( isinstance(t, UnpackType) for t in arg_type.items ): if seen_unpack: self.msg.fail( "Passing multiple variadic unpacks in a call is not supported", context, code=codes.CALL_ARG, ) return AnyType(TypeOfAny.from_error), callee seen_unpack = True # This is tricky: return type may contain its own type variables, like in # def [S] (S) -> def [T] (T) -> tuple[S, T], so we need to update their ids # to avoid possible id clashes if this call itself appears in a generic # function body. ret_type = get_proper_type(callee.ret_type) if isinstance(ret_type, CallableType) and ret_type.variables: fresh_ret_type = freshen_all_functions_type_vars(callee.ret_type) freeze_all_type_vars(fresh_ret_type) callee = callee.copy_modified(ret_type=fresh_ret_type) if callee.is_generic(): callee = freshen_function_type_vars(callee) callee = self.infer_function_type_arguments_using_context(callee, context) formal_to_actual = map_actuals_to_formals( arg_kinds, arg_names, callee.arg_kinds, callee.arg_names, lambda i: self.accept(args[i]), ) if callee.is_generic(): need_refresh = any( isinstance(v, (ParamSpecType, TypeVarTupleType)) for v in callee.variables ) callee = self.infer_function_type_arguments( callee, args, arg_kinds, arg_names, formal_to_actual, need_refresh, context ) if need_refresh: # Argument kinds etc. may have changed due to # ParamSpec or TypeVarTuple variables being replaced with an arbitrary # number of arguments; recalculate actual-to-formal map formal_to_actual = map_actuals_to_formals( arg_kinds, arg_names, callee.arg_kinds, callee.arg_names, lambda i: self.accept(args[i]), ) param_spec = callee.param_spec() if ( param_spec is not None and arg_kinds == [ARG_STAR, ARG_STAR2] and len(formal_to_actual) == 2 ): arg1 = self.accept(args[0]) arg2 = self.accept(args[1]) if ( isinstance(arg1, ParamSpecType) and isinstance(arg2, ParamSpecType) and arg1.flavor == ParamSpecFlavor.ARGS and arg2.flavor == ParamSpecFlavor.KWARGS and arg1.id == arg2.id == param_spec.id ): return callee.ret_type, callee arg_types = self.infer_arg_types_in_context(callee, args, arg_kinds, formal_to_actual) self.check_argument_count( callee, arg_types, arg_kinds, arg_names, formal_to_actual, context, object_type, callable_name, ) self.check_argument_types( arg_types, arg_kinds, args, callee, formal_to_actual, context, object_type=object_type ) if ( callee.is_type_obj() and (len(arg_types) == 1) and is_equivalent(callee.ret_type, self.named_type("builtins.type")) ): callee = callee.copy_modified(ret_type=TypeType.make_normalized(arg_types[0])) if callable_node: # Store the inferred callable type. self.chk.store_type(callable_node, callee) if callable_name and ( (object_type is None and self.plugin.get_function_hook(callable_name)) or (object_type is not None and self.plugin.get_method_hook(callable_name)) ): new_ret_type = self.apply_function_plugin( callee, arg_kinds, arg_types, arg_names, formal_to_actual, args, callable_name, object_type, context, ) callee = callee.copy_modified(ret_type=new_ret_type) return callee.ret_type, callee def can_return_none(self, type: TypeInfo, attr_name: str) -> bool: """Is the given attribute a method with a None-compatible return type? Overloads are only checked if there is an implementation. """ if not state.strict_optional: # If strict-optional is not set, is_subtype(NoneType(), T) is always True. # So, we cannot do anything useful here in that case. return False for base in type.mro: symnode = base.names.get(attr_name) if symnode is None: continue node = symnode.node if isinstance(node, OverloadedFuncDef): node = node.impl if isinstance(node, Decorator): node = node.func if isinstance(node, FuncDef): if node.type is not None: assert isinstance(node.type, CallableType) return is_subtype(NoneType(), node.type.ret_type) return False def analyze_type_type_callee(self, item: ProperType, context: Context) -> Type: """Analyze the callee X in X(...) where X is Type[item]. Return a Y that we can pass to check_call(Y, ...). """ if isinstance(item, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=item) if isinstance(item, Instance): res = type_object_type(item.type, self.named_type) if isinstance(res, CallableType): res = res.copy_modified(from_type_type=True) expanded = expand_type_by_instance(res, item) if isinstance(expanded, CallableType): # Callee of the form Type[...] should never be generic, only # proper class objects can be. expanded = expanded.copy_modified(variables=[]) return expanded if isinstance(item, UnionType): return UnionType( [ self.analyze_type_type_callee(get_proper_type(tp), context) for tp in item.relevant_items() ], item.line, ) if isinstance(item, TypeVarType): # Pretend we're calling the typevar's upper bound, # i.e. its constructor (a poor approximation for reality, # but better than AnyType...), but replace the return type # with typevar. callee = self.analyze_type_type_callee(get_proper_type(item.upper_bound), context) callee = get_proper_type(callee) if isinstance(callee, CallableType): callee = callee.copy_modified(ret_type=item) elif isinstance(callee, Overloaded): callee = Overloaded([c.copy_modified(ret_type=item) for c in callee.items]) return callee # We support Type of namedtuples but not of tuples in general if isinstance(item, TupleType) and tuple_fallback(item).type.fullname != "builtins.tuple": return self.analyze_type_type_callee(tuple_fallback(item), context) if isinstance(item, TypedDictType): return self.typeddict_callable_from_context(item) self.msg.unsupported_type_type(item, context) return AnyType(TypeOfAny.from_error) def infer_arg_types_in_empty_context(self, args: list[Expression]) -> list[Type]: """Infer argument expression types in an empty context. In short, we basically recurse on each argument without considering in what context the argument was called. """ res: list[Type] = [] for arg in args: arg_type = self.accept(arg) if has_erased_component(arg_type): res.append(NoneType()) else: res.append(arg_type) return res def infer_more_unions_for_recursive_type(self, type_context: Type) -> bool: """Adjust type inference of unions if type context has a recursive type. Return the old state. The caller must assign it to type_state.infer_unions afterwards. This is a hack to better support inference for recursive types. Note: This is performance-sensitive and must not be a context manager until mypyc supports them better. """ old = type_state.infer_unions if has_recursive_types(type_context): type_state.infer_unions = True return old def infer_arg_types_in_context( self, callee: CallableType, args: list[Expression], arg_kinds: list[ArgKind], formal_to_actual: list[list[int]], ) -> list[Type]: """Infer argument expression types using a callable type as context. For example, if callee argument 2 has type List[int], infer the argument expression with List[int] type context. Returns the inferred types of *actual arguments*. """ res: list[Type | None] = [None] * len(args) for i, actuals in enumerate(formal_to_actual): for ai in actuals: if not arg_kinds[ai].is_star(): arg_type = callee.arg_types[i] # When the outer context for a function call is known to be recursive, # we solve type constraints inferred from arguments using unions instead # of joins. This is a bit arbitrary, but in practice it works for most # cases. A cleaner alternative would be to switch to single bin type # inference, but this is a lot of work. old = self.infer_more_unions_for_recursive_type(arg_type) res[ai] = self.accept(args[ai], arg_type) # We need to manually restore union inference state, ugh. type_state.infer_unions = old # Fill in the rest of the argument types. for i, t in enumerate(res): if not t: res[i] = self.accept(args[i]) assert all(tp is not None for tp in res) return cast(list[Type], res) def infer_function_type_arguments_using_context( self, callable: CallableType, error_context: Context ) -> CallableType: """Unify callable return type to type context to infer type vars. For example, if the return type is set[t] where 't' is a type variable of callable, and if the context is set[int], return callable modified by substituting 't' with 'int'. """ ctx = self.type_context[-1] if not ctx: return callable # The return type may have references to type metavariables that # we are inferring right now. We must consider them as indeterminate # and they are not potential results; thus we replace them with the # special ErasedType type. On the other hand, class type variables are # valid results. erased_ctx = replace_meta_vars(ctx, ErasedType()) ret_type = callable.ret_type if is_overlapping_none(ret_type) and is_overlapping_none(ctx): # If both the context and the return type are optional, unwrap the optional, # since in 99% cases this is what a user expects. In other words, we replace # Optional[T] <: Optional[int] # with # T <: int # while the former would infer T <: Optional[int]. ret_type = remove_optional(ret_type) erased_ctx = remove_optional(erased_ctx) # # TODO: Instead of this hack and the one below, we need to use outer and # inner contexts at the same time. This is however not easy because of two # reasons: # * We need to support constraints like [1 <: 2, 2 <: X], i.e. with variables # on both sides. (This is not too hard.) # * We need to update all the inference "infrastructure", so that all # variables in an expression are inferred at the same time. # (And this is hard, also we need to be careful with lambdas that require # two passes.) proper_ret = get_proper_type(ret_type) if ( isinstance(proper_ret, TypeVarType) or isinstance(proper_ret, UnionType) and all(isinstance(get_proper_type(u), TypeVarType) for u in proper_ret.items) ): # Another special case: the return type is a type variable. If it's unrestricted, # we could infer a too general type for the type variable if we use context, # and this could result in confusing and spurious type errors elsewhere. # # So we give up and just use function arguments for type inference, with just two # exceptions: # # 1. If the context is a generic instance type, actually use it as context, as # this *seems* to usually be the reasonable thing to do. # # See also github issues #462 and #360. # # 2. If the context is some literal type, we want to "propagate" that information # down so that we infer a more precise type for literal expressions. For example, # the expression `3` normally has an inferred type of `builtins.int`: but if it's # in a literal context like below, we want it to infer `Literal[3]` instead. # # def expects_literal(x: Literal[3]) -> None: pass # def identity(x: T) -> T: return x # # expects_literal(identity(3)) # Should type-check # TODO: we may want to add similar exception if all arguments are lambdas, since # in this case external context is almost everything we have. if not is_generic_instance(ctx) and not is_literal_type_like(ctx): return callable.copy_modified() args = infer_type_arguments( callable.variables, ret_type, erased_ctx, skip_unsatisfied=True ) # Only substitute non-Uninhabited and non-erased types. new_args: list[Type | None] = [] for arg in args: if has_uninhabited_component(arg) or has_erased_component(arg): new_args.append(None) else: new_args.append(arg) # Don't show errors after we have only used the outer context for inference. # We will use argument context to infer more variables. return self.apply_generic_arguments( callable, new_args, error_context, skip_unsatisfied=True ) def infer_function_type_arguments( self, callee_type: CallableType, args: list[Expression], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, formal_to_actual: list[list[int]], need_refresh: bool, context: Context, ) -> CallableType: """Infer the type arguments for a generic callee type. Infer based on the types of arguments. Return a derived callable type that has the arguments applied. """ if self.chk.in_checked_function(): # Disable type errors during type inference. There may be errors # due to partial available context information at this time, but # these errors can be safely ignored as the arguments will be # inferred again later. with self.msg.filter_errors(): arg_types = self.infer_arg_types_in_context( callee_type, args, arg_kinds, formal_to_actual ) arg_pass_nums = self.get_arg_infer_passes( callee_type, args, arg_types, formal_to_actual, len(args) ) pass1_args: list[Type | None] = [] for i, arg in enumerate(arg_types): if arg_pass_nums[i] > 1: pass1_args.append(None) else: pass1_args.append(arg) inferred_args, _ = infer_function_type_arguments( callee_type, pass1_args, arg_kinds, arg_names, formal_to_actual, context=self.argument_infer_context(), strict=self.chk.in_checked_function(), ) if 2 in arg_pass_nums: # Second pass of type inference. (callee_type, inferred_args) = self.infer_function_type_arguments_pass2( callee_type, args, arg_kinds, arg_names, formal_to_actual, inferred_args, need_refresh, context, ) if ( callee_type.special_sig == "dict" and len(inferred_args) == 2 and (ARG_NAMED in arg_kinds or ARG_STAR2 in arg_kinds) ): # HACK: Infer str key type for dict(...) with keyword args. The type system # can't represent this so we special case it, as this is a pretty common # thing. This doesn't quite work with all possible subclasses of dict # if they shuffle type variables around, as we assume that there is a 1-1 # correspondence with dict type variables. This is a marginal issue and # a little tricky to fix so it's left unfixed for now. first_arg = get_proper_type(inferred_args[0]) if isinstance(first_arg, (NoneType, UninhabitedType)): inferred_args[0] = self.named_type("builtins.str") elif not first_arg or not is_subtype(self.named_type("builtins.str"), first_arg): self.chk.fail(message_registry.KEYWORD_ARGUMENT_REQUIRES_STR_KEY_TYPE, context) if not self.chk.options.old_type_inference and any( a is None or isinstance(get_proper_type(a), UninhabitedType) or set(get_type_vars(a)) & set(callee_type.variables) for a in inferred_args ): if need_refresh: # Technically we need to refresh formal_to_actual after *each* inference pass, # since each pass can expand ParamSpec or TypeVarTuple. Although such situations # are very rare, not doing this can cause crashes. formal_to_actual = map_actuals_to_formals( arg_kinds, arg_names, callee_type.arg_kinds, callee_type.arg_names, lambda a: self.accept(args[a]), ) # If the regular two-phase inference didn't work, try inferring type # variables while allowing for polymorphic solutions, i.e. for solutions # potentially involving free variables. # TODO: support the similar inference for return type context. poly_inferred_args, free_vars = infer_function_type_arguments( callee_type, arg_types, arg_kinds, arg_names, formal_to_actual, context=self.argument_infer_context(), strict=self.chk.in_checked_function(), allow_polymorphic=True, ) poly_callee_type = self.apply_generic_arguments( callee_type, poly_inferred_args, context ) # Try applying inferred polymorphic type if possible, e.g. Callable[[T], T] can # be interpreted as def [T] (T) -> T, but dict[T, T] cannot be expressed. applied = applytype.apply_poly(poly_callee_type, free_vars) if applied is not None and all( a is not None and not isinstance(get_proper_type(a), UninhabitedType) for a in poly_inferred_args ): freeze_all_type_vars(applied) return applied # If it didn't work, erase free variables as uninhabited, to avoid confusing errors. unknown = UninhabitedType() unknown.ambiguous = True inferred_args = [ ( expand_type( a, {v.id: unknown for v in list(callee_type.variables) + free_vars} ) if a is not None else None ) for a in poly_inferred_args ] else: # In dynamically typed functions use implicit 'Any' types for # type variables. inferred_args = [AnyType(TypeOfAny.unannotated)] * len(callee_type.variables) return self.apply_inferred_arguments(callee_type, inferred_args, context) def infer_function_type_arguments_pass2( self, callee_type: CallableType, args: list[Expression], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, formal_to_actual: list[list[int]], old_inferred_args: Sequence[Type | None], need_refresh: bool, context: Context, ) -> tuple[CallableType, list[Type | None]]: """Perform second pass of generic function type argument inference. The second pass is needed for arguments with types such as Callable[[T], S], where both T and S are type variables, when the actual argument is a lambda with inferred types. The idea is to infer the type variable T in the first pass (based on the types of other arguments). This lets us infer the argument and return type of the lambda expression and thus also the type variable S in this second pass. Return (the callee with type vars applied, inferred actual arg types). """ # None or erased types in inferred types mean that there was not enough # information to infer the argument. Replace them with None values so # that they are not applied yet below. inferred_args = list(old_inferred_args) for i, arg in enumerate(get_proper_types(inferred_args)): if isinstance(arg, (NoneType, UninhabitedType)) or has_erased_component(arg): inferred_args[i] = None callee_type = self.apply_generic_arguments(callee_type, inferred_args, context) if not callee_type.is_generic(): # Fast path, second pass can't give new information. return callee_type, [] if need_refresh: formal_to_actual = map_actuals_to_formals( arg_kinds, arg_names, callee_type.arg_kinds, callee_type.arg_names, lambda a: self.accept(args[a]), ) # Same as during first pass, disable type errors (we still have partial context). with self.msg.filter_errors(): arg_types = self.infer_arg_types_in_context( callee_type, args, arg_kinds, formal_to_actual ) inferred_args, _ = infer_function_type_arguments( callee_type, arg_types, arg_kinds, arg_names, formal_to_actual, context=self.argument_infer_context(), ) return callee_type, inferred_args def argument_infer_context(self) -> ArgumentInferContext: if self._arg_infer_context_cache is None: self._arg_infer_context_cache = ArgumentInferContext( self.chk.named_type("typing.Mapping"), self.chk.named_type("typing.Iterable") ) return self._arg_infer_context_cache def get_arg_infer_passes( self, callee: CallableType, args: list[Expression], arg_types: list[Type], formal_to_actual: list[list[int]], num_actuals: int, ) -> list[int]: """Return pass numbers for args for two-pass argument type inference. For each actual, the pass number is either 1 (first pass) or 2 (second pass). Two-pass argument type inference primarily lets us infer types of lambdas more effectively. """ res = [1] * num_actuals for i, arg in enumerate(callee.arg_types): skip_param_spec = False p_formal = get_proper_type(callee.arg_types[i]) if isinstance(p_formal, CallableType) and p_formal.param_spec(): for j in formal_to_actual[i]: p_actual = get_proper_type(arg_types[j]) # This is an exception from the usual logic where we put generic Callable # arguments in the second pass. If we have a non-generic actual, it is # likely to infer good constraints, for example if we have: # def run(Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... # def test(x: int, y: int) -> int: ... # run(test, 1, 2) # we will use `test` for inference, since it will allow to infer also # argument *names* for P <: [x: int, y: int]. if isinstance(p_actual, Instance): call_method = find_member("__call__", p_actual, p_actual, is_operator=True) if call_method is not None: p_actual = get_proper_type(call_method) if ( isinstance(p_actual, CallableType) and not p_actual.variables and not isinstance(args[j], LambdaExpr) ): skip_param_spec = True break if not skip_param_spec and arg.accept(ArgInferSecondPassQuery()): for j in formal_to_actual[i]: res[j] = 2 return res def apply_inferred_arguments( self, callee_type: CallableType, inferred_args: Sequence[Type | None], context: Context ) -> CallableType: """Apply inferred values of type arguments to a generic function. Inferred_args contains the values of function type arguments. """ # Report error if some of the variables could not be solved. In that # case assume that all variables have type Any to avoid extra # bogus error messages. for inferred_type, tv in zip(inferred_args, callee_type.variables): if not inferred_type or has_erased_component(inferred_type): # Could not infer a non-trivial type for a type variable. self.msg.could_not_infer_type_arguments(callee_type, tv, context) inferred_args = [AnyType(TypeOfAny.from_error)] * len(inferred_args) # Apply the inferred types to the function type. In this case the # return type must be CallableType, since we give the right number of type # arguments. return self.apply_generic_arguments(callee_type, inferred_args, context) def check_argument_count( self, callee: CallableType, actual_types: list[Type], actual_kinds: list[ArgKind], actual_names: Sequence[str | None] | None, formal_to_actual: list[list[int]], context: Context | None, object_type: Type | None = None, callable_name: str | None = None, ) -> bool: """Check that there is a value for all required arguments to a function. Also check that there are no duplicate values for arguments. Report found errors using 'messages' if it's not None. If 'messages' is given, 'context' must also be given. Return False if there were any errors. Otherwise return True """ if context is None: # Avoid "is None" checks context = TempNode(AnyType(TypeOfAny.special_form)) # TODO(jukka): We could return as soon as we find an error if messages is None. # Collect dict of all actual arguments matched to formal arguments, with occurrence count all_actuals: dict[int, int] = {} for actuals in formal_to_actual: for a in actuals: all_actuals[a] = all_actuals.get(a, 0) + 1 ok, is_unexpected_arg_error = self.check_for_extra_actual_arguments( callee, actual_types, actual_kinds, actual_names, all_actuals, context ) # Check for too many or few values for formals. for i, kind in enumerate(callee.arg_kinds): mapped_args = formal_to_actual[i] if kind.is_required() and not mapped_args and not is_unexpected_arg_error: # No actual for a mandatory formal if kind.is_positional(): self.msg.too_few_arguments(callee, context, actual_names) if object_type and callable_name and "." in callable_name: self.missing_classvar_callable_note(object_type, callable_name, context) else: argname = callee.arg_names[i] or "?" self.msg.missing_named_argument(callee, context, argname) ok = False elif not kind.is_star() and is_duplicate_mapping( mapped_args, actual_types, actual_kinds ): if self.chk.in_checked_function() or isinstance( get_proper_type(actual_types[mapped_args[0]]), TupleType ): self.msg.duplicate_argument_value(callee, i, context) ok = False elif ( kind.is_named() and mapped_args and actual_kinds[mapped_args[0]] not in [nodes.ARG_NAMED, nodes.ARG_STAR2] ): # Positional argument when expecting a keyword argument. self.msg.too_many_positional_arguments(callee, context) ok = False elif callee.param_spec() is not None: if not mapped_args and callee.special_sig != "partial": self.msg.too_few_arguments(callee, context, actual_names) ok = False elif len(mapped_args) > 1: paramspec_entries = sum( isinstance(get_proper_type(actual_types[k]), ParamSpecType) for k in mapped_args ) if actual_kinds[mapped_args[0]] == nodes.ARG_STAR and paramspec_entries > 1: self.msg.fail("ParamSpec.args should only be passed once", context) ok = False if actual_kinds[mapped_args[0]] == nodes.ARG_STAR2 and paramspec_entries > 1: self.msg.fail("ParamSpec.kwargs should only be passed once", context) ok = False return ok def check_for_extra_actual_arguments( self, callee: CallableType, actual_types: list[Type], actual_kinds: list[ArgKind], actual_names: Sequence[str | None] | None, all_actuals: dict[int, int], context: Context, ) -> tuple[bool, bool]: """Check for extra actual arguments. Return tuple (was everything ok, was there an extra keyword argument error [used to avoid duplicate errors]). """ is_unexpected_arg_error = False # Keep track of errors to avoid duplicate errors ok = True # False if we've found any error for i, kind in enumerate(actual_kinds): if ( i not in all_actuals and # We accept the other iterables than tuple (including Any) # as star arguments because they could be empty, resulting no arguments. (kind != nodes.ARG_STAR or is_non_empty_tuple(actual_types[i])) and # Accept all types for double-starred arguments, because they could be empty # dictionaries and we can't tell it from their types kind != nodes.ARG_STAR2 ): # Extra actual: not matched by a formal argument. ok = False if kind != nodes.ARG_NAMED: self.msg.too_many_arguments(callee, context) else: assert actual_names, "Internal error: named kinds without names given" act_name = actual_names[i] assert act_name is not None act_type = actual_types[i] self.msg.unexpected_keyword_argument(callee, act_name, act_type, context) is_unexpected_arg_error = True elif ( kind == nodes.ARG_STAR and nodes.ARG_STAR not in callee.arg_kinds ) or kind == nodes.ARG_STAR2: actual_type = get_proper_type(actual_types[i]) if isinstance(actual_type, (TupleType, TypedDictType)): if all_actuals.get(i, 0) < len(actual_type.items): # Too many tuple/dict items as some did not match. if kind != nodes.ARG_STAR2 or not isinstance(actual_type, TypedDictType): self.msg.too_many_arguments(callee, context) else: self.msg.too_many_arguments_from_typed_dict( callee, actual_type, context ) is_unexpected_arg_error = True ok = False # *args/**kwargs can be applied even if the function takes a fixed # number of positional arguments. This may succeed at runtime. return ok, is_unexpected_arg_error def missing_classvar_callable_note( self, object_type: Type, callable_name: str, context: Context ) -> None: if isinstance(object_type, ProperType) and isinstance(object_type, Instance): _, var_name = callable_name.rsplit(".", maxsplit=1) node = object_type.type.get(var_name) if node is not None and isinstance(node.node, Var): if not node.node.is_inferred and not node.node.is_classvar: self.msg.note( f'"{var_name}" is considered instance variable,' " to make it class variable use ClassVar[...]", context, ) def check_argument_types( self, arg_types: list[Type], arg_kinds: list[ArgKind], args: list[Expression], callee: CallableType, formal_to_actual: list[list[int]], context: Context, check_arg: ArgChecker | None = None, object_type: Type | None = None, ) -> None: """Check argument types against a callable type. Report errors if the argument types are not compatible. The check_call docstring describes some of the arguments. """ check_arg = check_arg or self.check_arg # Keep track of consumed tuple *arg items. mapper = ArgTypeExpander(self.argument_infer_context()) for arg_type, arg_kind in zip(arg_types, arg_kinds): arg_type = get_proper_type(arg_type) if arg_kind == nodes.ARG_STAR and not self.is_valid_var_arg(arg_type): self.msg.invalid_var_arg(arg_type, context) if arg_kind == nodes.ARG_STAR2 and not self.is_valid_keyword_var_arg(arg_type): is_mapping = is_subtype( arg_type, self.chk.named_type("_typeshed.SupportsKeysAndGetItem") ) self.msg.invalid_keyword_var_arg(arg_type, is_mapping, context) for i, actuals in enumerate(formal_to_actual): orig_callee_arg_type = get_proper_type(callee.arg_types[i]) # Checking the case that we have more than one item but the first argument # is an unpack, so this would be something like: # [Tuple[Unpack[Ts]], int] # # In this case we have to check everything together, we do this by re-unifying # the suffices to the tuple, e.g. a single actual like # Tuple[Unpack[Ts], int] expanded_tuple = False actual_kinds = [arg_kinds[a] for a in actuals] if len(actuals) > 1: p_actual_type = get_proper_type(arg_types[actuals[0]]) if ( isinstance(p_actual_type, TupleType) and len(p_actual_type.items) == 1 and isinstance(p_actual_type.items[0], UnpackType) and actual_kinds == [nodes.ARG_STAR] + [nodes.ARG_POS] * (len(actuals) - 1) ): actual_types = [p_actual_type.items[0]] + [arg_types[a] for a in actuals[1:]] if isinstance(orig_callee_arg_type, UnpackType): p_callee_type = get_proper_type(orig_callee_arg_type.type) if isinstance(p_callee_type, TupleType): assert p_callee_type.items callee_arg_types = p_callee_type.items callee_arg_kinds = [nodes.ARG_STAR] + [nodes.ARG_POS] * ( len(p_callee_type.items) - 1 ) expanded_tuple = True if not expanded_tuple: actual_types = [arg_types[a] for a in actuals] if isinstance(orig_callee_arg_type, UnpackType): unpacked_type = get_proper_type(orig_callee_arg_type.type) if isinstance(unpacked_type, TupleType): inner_unpack_index = find_unpack_in_list(unpacked_type.items) if inner_unpack_index is None: callee_arg_types = unpacked_type.items callee_arg_kinds = [ARG_POS] * len(actuals) else: inner_unpack = unpacked_type.items[inner_unpack_index] assert isinstance(inner_unpack, UnpackType) inner_unpacked_type = get_proper_type(inner_unpack.type) if isinstance(inner_unpacked_type, TypeVarTupleType): # This branch mimics the expanded_tuple case above but for # the case where caller passed a single * unpacked tuple argument. callee_arg_types = unpacked_type.items callee_arg_kinds = [ ARG_POS if i != inner_unpack_index else ARG_STAR for i in range(len(unpacked_type.items)) ] else: # We assume heterogeneous tuples are desugared earlier. assert isinstance(inner_unpacked_type, Instance) assert inner_unpacked_type.type.fullname == "builtins.tuple" callee_arg_types = ( unpacked_type.items[:inner_unpack_index] + [inner_unpacked_type.args[0]] * (len(actuals) - len(unpacked_type.items) + 1) + unpacked_type.items[inner_unpack_index + 1 :] ) callee_arg_kinds = [ARG_POS] * len(actuals) elif isinstance(unpacked_type, TypeVarTupleType): callee_arg_types = [orig_callee_arg_type] callee_arg_kinds = [ARG_STAR] else: assert isinstance(unpacked_type, Instance) assert unpacked_type.type.fullname == "builtins.tuple" callee_arg_types = [unpacked_type.args[0]] * len(actuals) callee_arg_kinds = [ARG_POS] * len(actuals) else: callee_arg_types = [orig_callee_arg_type] * len(actuals) callee_arg_kinds = [callee.arg_kinds[i]] * len(actuals) assert len(actual_types) == len(actuals) == len(actual_kinds) if len(callee_arg_types) != len(actual_types): if len(actual_types) > len(callee_arg_types): self.chk.msg.too_many_arguments(callee, context) else: self.chk.msg.too_few_arguments(callee, context, None) continue assert len(callee_arg_types) == len(actual_types) assert len(callee_arg_types) == len(callee_arg_kinds) for actual, actual_type, actual_kind, callee_arg_type, callee_arg_kind in zip( actuals, actual_types, actual_kinds, callee_arg_types, callee_arg_kinds ): # Check that a *arg is valid as varargs. expanded_actual = mapper.expand_actual_type( actual_type, actual_kind, callee.arg_names[i], callee_arg_kind, allow_unpack=isinstance(callee_arg_type, UnpackType), ) check_arg( expanded_actual, actual_type, actual_kind, callee_arg_type, actual + 1, i + 1, callee, object_type, args[actual], context, ) def check_arg( self, caller_type: Type, original_caller_type: Type, caller_kind: ArgKind, callee_type: Type, n: int, m: int, callee: CallableType, object_type: Type | None, context: Context, outer_context: Context, ) -> None: """Check the type of a single argument in a call.""" caller_type = get_proper_type(caller_type) original_caller_type = get_proper_type(original_caller_type) callee_type = get_proper_type(callee_type) if isinstance(caller_type, DeletedType): self.msg.deleted_as_rvalue(caller_type, context) # Only non-abstract non-protocol class can be given where Type[...] is expected... elif self.has_abstract_type_part(caller_type, callee_type): self.msg.concrete_only_call(callee_type, context) elif not is_subtype(caller_type, callee_type, options=self.chk.options): error = self.msg.incompatible_argument( n, m, callee, original_caller_type, caller_kind, object_type=object_type, context=context, outer_context=outer_context, ) if not caller_kind.is_star(): # For *args and **kwargs this note would be incorrect - we're comparing # iterable/mapping type with union of relevant arg types. self.msg.incompatible_argument_note( original_caller_type, callee_type, context, parent_error=error ) if not self.msg.prefer_simple_messages(): self.chk.check_possible_missing_await( caller_type, callee_type, context, error.code ) def check_overload_call( self, callee: Overloaded, args: list[Expression], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, callable_name: str | None, object_type: Type | None, context: Context, ) -> tuple[Type, Type]: """Checks a call to an overloaded function.""" # Normalize unpacked kwargs before checking the call. callee = callee.with_unpacked_kwargs() arg_types = self.infer_arg_types_in_empty_context(args) # Step 1: Filter call targets to remove ones where the argument counts don't match plausible_targets = self.plausible_overload_call_targets( arg_types, arg_kinds, arg_names, callee ) # Step 2: If the arguments contain a union, we try performing union math first, # instead of picking the first matching overload. # This is because picking the first overload often ends up being too greedy: # for example, when we have a fallback alternative that accepts an unrestricted # typevar. See https://github.com/python/mypy/issues/4063 for related discussion. erased_targets: list[CallableType] | None = None inferred_types: list[Type] | None = None unioned_result: tuple[Type, Type] | None = None # Determine whether we need to encourage union math. This should be generally safe, # as union math infers better results in the vast majority of cases, but it is very # computationally intensive. none_type_var_overlap = self.possible_none_type_var_overlap(arg_types, plausible_targets) union_interrupted = False # did we try all union combinations? if any(self.real_union(arg) for arg in arg_types): try: with self.msg.filter_errors(): unioned_return = self.union_overload_result( plausible_targets, args, arg_types, arg_kinds, arg_names, callable_name, object_type, none_type_var_overlap, context, ) except TooManyUnions: union_interrupted = True else: # Record if we succeeded. Next we need to see if maybe normal procedure # gives a narrower type. if unioned_return: returns = [u[0] for u in unioned_return] inferred_types = [u[1] for u in unioned_return] # Note that we use `combine_function_signatures` instead of just returning # a union of inferred callables because for example a call # Union[int -> int, str -> str](Union[int, str]) is invalid and # we don't want to introduce internal inconsistencies. unioned_result = ( make_simplified_union(returns, context.line, context.column), self.combine_function_signatures(get_proper_types(inferred_types)), ) # Step 3: We try checking each branch one-by-one. inferred_result = self.infer_overload_return_type( plausible_targets, args, arg_types, arg_kinds, arg_names, callable_name, object_type, context, ) # If any of checks succeed, perform deprecation tests and stop early. if inferred_result is not None and unioned_result is not None: # Both unioned and direct checks succeeded, choose the more precise type. if ( is_subtype(inferred_result[0], unioned_result[0]) and not isinstance(get_proper_type(inferred_result[0]), AnyType) and not none_type_var_overlap ): unioned_result = None else: inferred_result = None if unioned_result is not None: if inferred_types is not None: for inferred_type in inferred_types: if isinstance(c := get_proper_type(inferred_type), CallableType): self.chk.warn_deprecated(c.definition, context) return unioned_result if inferred_result is not None: if isinstance(c := get_proper_type(inferred_result[1]), CallableType): self.chk.warn_deprecated(c.definition, context) return inferred_result # Step 4: Failure. At this point, we know there is no match. We fall back to trying # to find a somewhat plausible overload target using the erased types # so we can produce a nice error message. # # For example, suppose the user passes a value of type 'List[str]' into an # overload with signatures f(x: int) -> int and f(x: List[int]) -> List[int]. # # Neither alternative matches, but we can guess the user probably wants the # second one. erased_targets = self.overload_erased_call_targets( plausible_targets, arg_types, arg_kinds, arg_names, args, context ) # Step 5: We try and infer a second-best alternative if possible. If not, fall back # to using 'Any'. if len(erased_targets) > 0: # Pick the first plausible erased target as the fallback # TODO: Adjust the error message here to make it clear there was no match. # In order to do this, we need to find a clean way of associating # a note with whatever error message 'self.check_call' will generate. # In particular, the note's line and column numbers need to be the same # as the error's. target: Type = erased_targets[0] else: # There was no plausible match: give up target = AnyType(TypeOfAny.from_error) if not is_operator_method(callable_name): code = None else: code = codes.OPERATOR self.msg.no_variant_matches_arguments(callee, arg_types, context, code=code) result = self.check_call( target, args, arg_kinds, context, arg_names, callable_name=callable_name, object_type=object_type, ) # Do not show the extra error if the union math was forced. if union_interrupted and not none_type_var_overlap: self.chk.fail(message_registry.TOO_MANY_UNION_COMBINATIONS, context) return result def plausible_overload_call_targets( self, arg_types: list[Type], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, overload: Overloaded, ) -> list[CallableType]: """Returns all overload call targets that having matching argument counts. If the given args contains a star-arg (*arg or **kwarg argument, except for ParamSpec), this method will ensure all star-arg overloads appear at the start of the list, instead of their usual location. The only exception is if the starred argument is something like a Tuple or a NamedTuple, which has a definitive "shape". If so, we don't move the corresponding alternative to the front since we can infer a more precise match using the original order.""" def has_shape(typ: Type) -> bool: typ = get_proper_type(typ) return isinstance(typ, (TupleType, TypedDictType)) or ( isinstance(typ, Instance) and typ.type.is_named_tuple ) matches: list[CallableType] = [] star_matches: list[CallableType] = [] args_have_var_arg = False args_have_kw_arg = False for kind, typ in zip(arg_kinds, arg_types): if kind == ARG_STAR and not has_shape(typ): args_have_var_arg = True if kind == ARG_STAR2 and not has_shape(typ): args_have_kw_arg = True for typ in overload.items: formal_to_actual = map_actuals_to_formals( arg_kinds, arg_names, typ.arg_kinds, typ.arg_names, lambda i: arg_types[i] ) with self.msg.filter_errors(): if typ.param_spec() is not None: # ParamSpec can be expanded in a lot of different ways. We may try # to expand it here instead, but picking an impossible overload # is safe: it will be filtered out later. # Unlike other var-args signatures, ParamSpec produces essentially # a fixed signature, so there's no need to push them to the top. matches.append(typ) elif self.check_argument_count( typ, arg_types, arg_kinds, arg_names, formal_to_actual, None ): if args_have_var_arg and typ.is_var_arg: star_matches.append(typ) elif args_have_kw_arg and typ.is_kw_arg: star_matches.append(typ) else: matches.append(typ) return star_matches + matches def infer_overload_return_type( self, plausible_targets: list[CallableType], args: list[Expression], arg_types: list[Type], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, callable_name: str | None, object_type: Type | None, context: Context, ) -> tuple[Type, Type] | None: """Attempts to find the first matching callable from the given list. If a match is found, returns a tuple containing the result type and the inferred callee type. (This tuple is meant to be eventually returned by check_call.) If multiple targets match due to ambiguous Any parameters, returns (AnyType, AnyType). If no targets match, returns None. Assumes all of the given targets have argument counts compatible with the caller. """ matches: list[CallableType] = [] return_types: list[Type] = [] inferred_types: list[Type] = [] args_contain_any = any(map(has_any_type, arg_types)) type_maps: list[dict[Expression, Type]] = [] for typ in plausible_targets: assert self.msg is self.chk.msg with self.msg.filter_errors() as w: with self.chk.local_type_map as m: ret_type, infer_type = self.check_call( callee=typ, args=args, arg_kinds=arg_kinds, arg_names=arg_names, context=context, callable_name=callable_name, object_type=object_type, ) is_match = not w.has_new_errors() if is_match: # Return early if possible; otherwise record info, so we can # check for ambiguity due to 'Any' below. if not args_contain_any: self.chk.store_types(m) return ret_type, infer_type p_infer_type = get_proper_type(infer_type) if isinstance(p_infer_type, CallableType): # Prefer inferred types if possible, this will avoid false triggers for # Any-ambiguity caused by arguments with Any passed to generic overloads. matches.append(p_infer_type) else: matches.append(typ) return_types.append(ret_type) inferred_types.append(infer_type) type_maps.append(m) if not matches: return None elif any_causes_overload_ambiguity(matches, return_types, arg_types, arg_kinds, arg_names): # An argument of type or containing the type 'Any' caused ambiguity. # We try returning a precise type if we can. If not, we give up and just return 'Any'. if all_same_types(return_types): self.chk.store_types(type_maps[0]) return return_types[0], inferred_types[0] elif all_same_types([erase_type(typ) for typ in return_types]): self.chk.store_types(type_maps[0]) return erase_type(return_types[0]), erase_type(inferred_types[0]) else: return self.check_call( callee=AnyType(TypeOfAny.special_form), args=args, arg_kinds=arg_kinds, arg_names=arg_names, context=context, callable_name=callable_name, object_type=object_type, ) else: # Success! No ambiguity; return the first match. self.chk.store_types(type_maps[0]) return return_types[0], inferred_types[0] def overload_erased_call_targets( self, plausible_targets: list[CallableType], arg_types: list[Type], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, args: list[Expression], context: Context, ) -> list[CallableType]: """Returns a list of all targets that match the caller after erasing types. Assumes all of the given targets have argument counts compatible with the caller. """ matches: list[CallableType] = [] for typ in plausible_targets: if self.erased_signature_similarity( arg_types, arg_kinds, arg_names, args, typ, context ): matches.append(typ) return matches def possible_none_type_var_overlap( self, arg_types: list[Type], plausible_targets: list[CallableType] ) -> bool: """Heuristic to determine whether we need to try forcing union math. This is needed to avoid greedy type variable match in situations like this: @overload def foo(x: None) -> None: ... @overload def foo(x: T) -> list[T]: ... x: int | None foo(x) we want this call to infer list[int] | None, not list[int | None]. """ if not plausible_targets or not arg_types: return False has_optional_arg = False for arg_type in get_proper_types(arg_types): if not isinstance(arg_type, UnionType): continue for item in get_proper_types(arg_type.items): if isinstance(item, NoneType): has_optional_arg = True break if not has_optional_arg: return False min_prefix = min(len(c.arg_types) for c in plausible_targets) for i in range(min_prefix): if any( isinstance(get_proper_type(c.arg_types[i]), NoneType) for c in plausible_targets ) and any( isinstance(get_proper_type(c.arg_types[i]), TypeVarType) for c in plausible_targets ): return True return False def union_overload_result( self, plausible_targets: list[CallableType], args: list[Expression], arg_types: list[Type], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, callable_name: str | None, object_type: Type | None, none_type_var_overlap: bool, context: Context, level: int = 0, ) -> list[tuple[Type, Type]] | None: """Accepts a list of overload signatures and attempts to match calls by destructuring the first union. Return a list of (, ) if call succeeds for every item of the desctructured union. Returns None if there is no match. """ # Step 1: If we are already too deep, then stop immediately. Otherwise mypy might # hang for long time because of a weird overload call. The caller will get # the exception and generate an appropriate note message, if needed. if level >= MAX_UNIONS: raise TooManyUnions # Step 2: Find position of the first union in arguments. Return the normal inferred # type if no more unions left. for idx, typ in enumerate(arg_types): if self.real_union(typ): break else: # No unions in args, just fall back to normal inference with self.type_overrides_set(args, arg_types): res = self.infer_overload_return_type( plausible_targets, args, arg_types, arg_kinds, arg_names, callable_name, object_type, context, ) if res is not None: return [res] return None # Step 3: Try a direct match before splitting to avoid unnecessary union splits # and save performance. if not none_type_var_overlap: with self.type_overrides_set(args, arg_types): direct = self.infer_overload_return_type( plausible_targets, args, arg_types, arg_kinds, arg_names, callable_name, object_type, context, ) if direct is not None and not isinstance( get_proper_type(direct[0]), (UnionType, AnyType) ): # We only return non-unions soon, to avoid greedy match. return [direct] # Step 4: Split the first remaining union type in arguments into items and # try to match each item individually (recursive). first_union = get_proper_type(arg_types[idx]) assert isinstance(first_union, UnionType) res_items = [] for item in first_union.relevant_items(): new_arg_types = arg_types.copy() new_arg_types[idx] = item sub_result = self.union_overload_result( plausible_targets, args, new_arg_types, arg_kinds, arg_names, callable_name, object_type, none_type_var_overlap, context, level + 1, ) if sub_result is not None: res_items.extend(sub_result) else: # Some item doesn't match, return soon. return None # Step 5: If splitting succeeded, then filter out duplicate items before returning. seen: set[tuple[Type, Type]] = set() result = [] for pair in res_items: if pair not in seen: seen.add(pair) result.append(pair) return result def real_union(self, typ: Type) -> bool: typ = get_proper_type(typ) return isinstance(typ, UnionType) and len(typ.relevant_items()) > 1 @contextmanager def type_overrides_set( self, exprs: Sequence[Expression], overrides: Sequence[Type] ) -> Iterator[None]: """Set _temporary_ type overrides for given expressions.""" assert len(exprs) == len(overrides) for expr, typ in zip(exprs, overrides): self.type_overrides[expr] = typ try: yield finally: for expr in exprs: del self.type_overrides[expr] def combine_function_signatures(self, types: list[ProperType]) -> AnyType | CallableType: """Accepts a list of function signatures and attempts to combine them together into a new CallableType consisting of the union of all of the given arguments and return types. If there is at least one non-callable type, return Any (this can happen if there is an ambiguity because of Any in arguments). """ assert types, "Trying to merge no callables" if not all(isinstance(c, CallableType) for c in types): return AnyType(TypeOfAny.special_form) callables = cast("list[CallableType]", types) if len(callables) == 1: return callables[0] # Note: we are assuming here that if a user uses some TypeVar 'T' in # two different functions, they meant for that TypeVar to mean the # same thing. # # This function will make sure that all instances of that TypeVar 'T' # refer to the same underlying TypeVarType objects to simplify the union-ing # logic below. # # (If the user did *not* mean for 'T' to be consistently bound to the # same type in their overloads, well, their code is probably too # confusing and ought to be re-written anyways.) callables, variables = merge_typevars_in_callables_by_name(callables) new_args: list[list[Type]] = [[] for _ in range(len(callables[0].arg_types))] new_kinds = list(callables[0].arg_kinds) new_returns: list[Type] = [] too_complex = False for target in callables: # We fall back to Callable[..., Union[]] if the functions do not have # the exact same signature. The only exception is if one arg is optional and # the other is positional: in that case, we continue unioning (and expect a # positional arg). # TODO: Enhance the merging logic to handle a wider variety of signatures. if len(new_kinds) != len(target.arg_kinds): too_complex = True break for i, (new_kind, target_kind) in enumerate(zip(new_kinds, target.arg_kinds)): if new_kind == target_kind: continue elif new_kind.is_positional() and target_kind.is_positional(): new_kinds[i] = ARG_POS else: too_complex = True break if too_complex: break # outer loop for i, arg in enumerate(target.arg_types): new_args[i].append(arg) new_returns.append(target.ret_type) union_return = make_simplified_union(new_returns) if too_complex: any = AnyType(TypeOfAny.special_form) return callables[0].copy_modified( arg_types=[any, any], arg_kinds=[ARG_STAR, ARG_STAR2], arg_names=[None, None], ret_type=union_return, variables=variables, implicit=True, ) final_args = [] for args_list in new_args: new_type = make_simplified_union(args_list) final_args.append(new_type) return callables[0].copy_modified( arg_types=final_args, arg_kinds=new_kinds, ret_type=union_return, variables=variables, implicit=True, ) def erased_signature_similarity( self, arg_types: list[Type], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, args: list[Expression], callee: CallableType, context: Context, ) -> bool: """Determine whether arguments could match the signature at runtime, after erasing types.""" formal_to_actual = map_actuals_to_formals( arg_kinds, arg_names, callee.arg_kinds, callee.arg_names, lambda i: arg_types[i] ) with self.msg.filter_errors(): if not self.check_argument_count( callee, arg_types, arg_kinds, arg_names, formal_to_actual, None ): # Too few or many arguments -> no match. return False def check_arg( caller_type: Type, original_ccaller_type: Type, caller_kind: ArgKind, callee_type: Type, n: int, m: int, callee: CallableType, object_type: Type | None, context: Context, outer_context: Context, ) -> None: if not arg_approximate_similarity(caller_type, callee_type): # No match -- exit early since none of the remaining work can change # the result. raise Finished try: self.check_argument_types( arg_types, arg_kinds, args, callee, formal_to_actual, context=context, check_arg=check_arg, ) return True except Finished: return False def apply_generic_arguments( self, callable: CallableType, types: Sequence[Type | None], context: Context, skip_unsatisfied: bool = False, ) -> CallableType: """Simple wrapper around mypy.applytype.apply_generic_arguments.""" return applytype.apply_generic_arguments( callable, types, self.msg.incompatible_typevar_value, context, skip_unsatisfied=skip_unsatisfied, ) def check_any_type_call(self, args: list[Expression], callee: Type) -> tuple[Type, Type]: self.infer_arg_types_in_empty_context(args) callee = get_proper_type(callee) if isinstance(callee, AnyType): return ( AnyType(TypeOfAny.from_another_any, source_any=callee), AnyType(TypeOfAny.from_another_any, source_any=callee), ) else: return AnyType(TypeOfAny.special_form), AnyType(TypeOfAny.special_form) def check_union_call( self, callee: UnionType, args: list[Expression], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, context: Context, ) -> tuple[Type, Type]: with self.msg.disable_type_names(): results = [ self.check_call(subtype, args, arg_kinds, context, arg_names) for subtype in callee.relevant_items() ] return (make_simplified_union([res[0] for res in results]), callee) def visit_member_expr(self, e: MemberExpr, is_lvalue: bool = False) -> Type: """Visit member expression (of form e.id).""" result = self.analyze_ordinary_member_access(e, is_lvalue) narrowed = self.narrow_type_from_binder(e, result) self.chk.warn_deprecated(e.node, e) return narrowed def analyze_ordinary_member_access( self, e: MemberExpr, is_lvalue: bool, rvalue: Expression | None = None ) -> Type: """Analyse member expression or member lvalue. An rvalue can be provided optionally to infer better setter type when is_lvalue is True. """ if e.kind is not None: # This is a reference to a module attribute. return self.analyze_ref_expr(e) else: # This is a reference to a non-module attribute. original_type = self.accept(e.expr, is_callee=self.is_callee) base = e.expr module_symbol_table = None if isinstance(base, RefExpr) and isinstance(base.node, MypyFile): module_symbol_table = base.node.names if isinstance(base, RefExpr) and isinstance(base.node, Var): # This is needed to special case self-types, so we don't need to track # these flags separately in checkmember.py. is_self = base.node.is_self or base.node.is_cls else: is_self = False member_type = analyze_member_access( e.name, original_type, e, is_lvalue=is_lvalue, is_super=False, is_operator=False, original_type=original_type, chk=self.chk, in_literal_context=self.is_literal_context(), module_symbol_table=module_symbol_table, is_self=is_self, rvalue=rvalue, ) return member_type def analyze_external_member_access( self, member: str, base_type: Type, context: Context ) -> Type: """Analyse member access that is external, i.e. it cannot refer to private definitions. Return the result type. """ # TODO remove; no private definitions in mypy return analyze_member_access( member, base_type, context, is_lvalue=False, is_super=False, is_operator=False, original_type=base_type, chk=self.chk, in_literal_context=self.is_literal_context(), ) def is_literal_context(self) -> bool: return is_literal_type_like(self.type_context[-1]) def infer_literal_expr_type(self, value: LiteralValue, fallback_name: str) -> Type: """Analyzes the given literal expression and determines if we should be inferring an Instance type, a Literal[...] type, or an Instance that remembers the original literal. We... 1. ...Infer a normal Instance in most circumstances. 2. ...Infer a Literal[...] if we're in a literal context. For example, if we were analyzing the "3" in "foo(3)" where "foo" has a signature of "def foo(Literal[3]) -> None", we'd want to infer that the "3" has a type of Literal[3] instead of Instance. 3. ...Infer an Instance that remembers the original Literal if we're declaring a Final variable with an inferred type -- for example, "bar" in "bar: Final = 3" would be assigned an Instance that remembers it originated from a '3'. See the comments in Instance's constructor for more details. """ typ = self.named_type(fallback_name) if self.is_literal_context(): return LiteralType(value=value, fallback=typ) else: if value is True: if self._literal_true is None: self._literal_true = typ.copy_modified( last_known_value=LiteralType(value=value, fallback=typ) ) return self._literal_true if value is False: if self._literal_false is None: self._literal_false = typ.copy_modified( last_known_value=LiteralType(value=value, fallback=typ) ) return self._literal_false return typ.copy_modified(last_known_value=LiteralType(value=value, fallback=typ)) def concat_tuples(self, left: TupleType, right: TupleType) -> TupleType: """Concatenate two fixed length tuples.""" assert not (find_unpack_in_list(left.items) and find_unpack_in_list(right.items)) return TupleType( items=left.items + right.items, fallback=self.named_type("builtins.tuple") ) def visit_int_expr(self, e: IntExpr) -> Type: """Type check an integer literal (trivial).""" return self.infer_literal_expr_type(e.value, "builtins.int") def visit_str_expr(self, e: StrExpr) -> Type: """Type check a string literal (trivial).""" return self.infer_literal_expr_type(e.value, "builtins.str") def visit_bytes_expr(self, e: BytesExpr) -> Type: """Type check a bytes literal (trivial).""" return self.infer_literal_expr_type(e.value, "builtins.bytes") def visit_float_expr(self, e: FloatExpr) -> Type: """Type check a float literal (trivial).""" return self.named_type("builtins.float") def visit_complex_expr(self, e: ComplexExpr) -> Type: """Type check a complex literal.""" return self.named_type("builtins.complex") def visit_ellipsis(self, e: EllipsisExpr) -> Type: """Type check '...'.""" return self.named_type("builtins.ellipsis") def visit_op_expr(self, e: OpExpr) -> Type: """Type check a binary operator expression.""" if e.analyzed: # It's actually a type expression X | Y. return self.accept(e.analyzed) if e.op == "and" or e.op == "or": return self.check_boolean_op(e) if e.op == "*" and isinstance(e.left, ListExpr): # Expressions of form [...] * e get special type inference. return self.check_list_multiply(e) if e.op == "%": if isinstance(e.left, BytesExpr): return self.strfrm_checker.check_str_interpolation(e.left, e.right) if isinstance(e.left, StrExpr): return self.strfrm_checker.check_str_interpolation(e.left, e.right) left_type = self.accept(e.left) proper_left_type = get_proper_type(left_type) if isinstance(proper_left_type, TupleType) and e.op == "+": left_add_method = proper_left_type.partial_fallback.type.get("__add__") if left_add_method and left_add_method.fullname == "builtins.tuple.__add__": proper_right_type = get_proper_type(self.accept(e.right)) if isinstance(proper_right_type, TupleType): right_radd_method = proper_right_type.partial_fallback.type.get("__radd__") if right_radd_method is None: # One cannot have two variadic items in the same tuple. if ( find_unpack_in_list(proper_left_type.items) is None or find_unpack_in_list(proper_right_type.items) is None ): return self.concat_tuples(proper_left_type, proper_right_type) elif ( PRECISE_TUPLE_TYPES in self.chk.options.enable_incomplete_feature and isinstance(proper_right_type, Instance) and self.chk.type_is_iterable(proper_right_type) ): # Handle tuple[X, Y] + tuple[Z, ...] = tuple[X, Y, *tuple[Z, ...]]. right_radd_method = proper_right_type.type.get("__radd__") if ( right_radd_method is None and proper_left_type.partial_fallback.type.fullname == "builtins.tuple" and find_unpack_in_list(proper_left_type.items) is None ): item_type = self.chk.iterable_item_type(proper_right_type, e) mapped = self.chk.named_generic_type("builtins.tuple", [item_type]) return proper_left_type.copy_modified( items=proper_left_type.items + [UnpackType(mapped)] ) use_reverse: UseReverse = USE_REVERSE_DEFAULT if e.op == "|": if is_named_instance(proper_left_type, "builtins.dict"): # This is a special case for `dict | TypedDict`. # 1. Find `dict | TypedDict` case # 2. Switch `dict.__or__` to `TypedDict.__ror__` (the same from both runtime and typing perspective) proper_right_type = get_proper_type(self.accept(e.right)) if isinstance(proper_right_type, TypedDictType): use_reverse = USE_REVERSE_ALWAYS if isinstance(proper_left_type, TypedDictType): # This is the reverse case: `TypedDict | dict`, # simply do not allow the reverse checking: # do not call `__dict__.__ror__`. proper_right_type = get_proper_type(self.accept(e.right)) if is_named_instance(proper_right_type, "builtins.dict"): use_reverse = USE_REVERSE_NEVER if PRECISE_TUPLE_TYPES in self.chk.options.enable_incomplete_feature: # Handle tuple[X, ...] + tuple[Y, Z] = tuple[*tuple[X, ...], Y, Z]. if ( e.op == "+" and isinstance(proper_left_type, Instance) and proper_left_type.type.fullname == "builtins.tuple" ): proper_right_type = get_proper_type(self.accept(e.right)) if ( isinstance(proper_right_type, TupleType) and proper_right_type.partial_fallback.type.fullname == "builtins.tuple" and find_unpack_in_list(proper_right_type.items) is None ): return proper_right_type.copy_modified( items=[UnpackType(proper_left_type)] + proper_right_type.items ) if e.op in operators.op_methods: method = operators.op_methods[e.op] if use_reverse is UseReverse.DEFAULT or use_reverse is UseReverse.NEVER: result, method_type = self.check_op( method, base_type=left_type, arg=e.right, context=e, allow_reverse=use_reverse is UseReverse.DEFAULT, ) elif use_reverse is UseReverse.ALWAYS: result, method_type = self.check_op( # The reverse operator here gives better error messages: operators.reverse_op_methods[method], base_type=self.accept(e.right), arg=e.left, context=e, allow_reverse=False, ) else: assert_never(use_reverse) e.method_type = method_type return result else: raise RuntimeError(f"Unknown operator {e.op}") def visit_comparison_expr(self, e: ComparisonExpr) -> Type: """Type check a comparison expression. Comparison expressions are type checked consecutive-pair-wise That is, 'a < b > c == d' is check as 'a < b and b > c and c == d' """ result: Type | None = None sub_result: Type # Check each consecutive operand pair and their operator for left, right, operator in zip(e.operands, e.operands[1:], e.operators): left_type = self.accept(left) if operator == "in" or operator == "not in": # This case covers both iterables and containers, which have different meanings. # For a container, the in operator calls the __contains__ method. # For an iterable, the in operator iterates over the iterable, and compares each item one-by-one. # We allow `in` for a union of containers and iterables as long as at least one of them matches the # type of the left operand, as the operation will simply return False if the union's container/iterator # type doesn't match the left operand. # If the right operand has partial type, look it up without triggering # a "Need type annotation ..." message, as it would be noise. right_type = self.find_partial_type_ref_fast_path(right) if right_type is None: right_type = self.accept(right) # Validate the right operand right_type = get_proper_type(right_type) item_types: Sequence[Type] = [right_type] if isinstance(right_type, UnionType): item_types = list(right_type.relevant_items()) sub_result = self.bool_type() container_types: list[Type] = [] iterable_types: list[Type] = [] failed_out = False encountered_partial_type = False for item_type in item_types: # Keep track of whether we get type check errors (these won't be reported, they # are just to verify whether something is valid typing wise). with self.msg.filter_errors(save_filtered_errors=True) as container_errors: _, method_type = self.check_method_call_by_name( method="__contains__", base_type=item_type, args=[left], arg_kinds=[ARG_POS], context=e, original_type=right_type, ) # Container item type for strict type overlap checks. Note: we need to only # check for nominal type, because a usual "Unsupported operands for in" # will be reported for types incompatible with __contains__(). # See testCustomContainsCheckStrictEquality for an example. cont_type = self.chk.analyze_container_item_type(item_type) if isinstance(item_type, PartialType): # We don't really know if this is an error or not, so just shut up. encountered_partial_type = True pass elif ( container_errors.has_new_errors() and # is_valid_var_arg is True for any Iterable self.is_valid_var_arg(item_type) ): # it's not a container, but it is an iterable with self.msg.filter_errors(save_filtered_errors=True) as iterable_errors: _, itertype = self.chk.analyze_iterable_item_type_without_expression( item_type, e ) if iterable_errors.has_new_errors(): self.msg.add_errors(iterable_errors.filtered_errors()) failed_out = True else: method_type = CallableType( [left_type], [nodes.ARG_POS], [None], self.bool_type(), self.named_type("builtins.function"), ) e.method_types.append(method_type) iterable_types.append(itertype) elif not container_errors.has_new_errors() and cont_type: container_types.append(cont_type) e.method_types.append(method_type) else: self.msg.add_errors(container_errors.filtered_errors()) failed_out = True if not encountered_partial_type and not failed_out: iterable_type = UnionType.make_union(iterable_types) if not is_subtype(left_type, iterable_type): if not container_types: self.msg.unsupported_operand_types("in", left_type, right_type, e) else: container_type = UnionType.make_union(container_types) if self.dangerous_comparison( left_type, container_type, original_container=right_type, prefer_literal=False, ): self.msg.dangerous_comparison( left_type, container_type, "container", e ) elif operator in operators.op_methods: method = operators.op_methods[operator] with ErrorWatcher(self.msg.errors) as w: sub_result, method_type = self.check_op( method, left_type, right, e, allow_reverse=True ) e.method_types.append(method_type) # Only show dangerous overlap if there are no other errors. See # testCustomEqCheckStrictEquality for an example. if not w.has_new_errors() and operator in ("==", "!="): right_type = self.accept(right) if self.dangerous_comparison(left_type, right_type): # Show the most specific literal types possible left_type = try_getting_literal(left_type) right_type = try_getting_literal(right_type) self.msg.dangerous_comparison(left_type, right_type, "equality", e) elif operator == "is" or operator == "is not": right_type = self.accept(right) # validate the right operand sub_result = self.bool_type() if self.dangerous_comparison(left_type, right_type, identity_check=True): # Show the most specific literal types possible left_type = try_getting_literal(left_type) right_type = try_getting_literal(right_type) self.msg.dangerous_comparison(left_type, right_type, "identity", e) e.method_types.append(None) else: raise RuntimeError(f"Unknown comparison operator {operator}") # Determine type of boolean-and of result and sub_result if result is None: result = sub_result else: result = join.join_types(result, sub_result) assert result is not None return result def find_partial_type_ref_fast_path(self, expr: Expression) -> Type | None: """If expression has a partial generic type, return it without additional checks. In particular, this does not generate an error about a missing annotation. Otherwise, return None. """ if not isinstance(expr, RefExpr): return None if isinstance(expr.node, Var): result = self.analyze_var_ref(expr.node, expr) if isinstance(result, PartialType) and result.type is not None: self.chk.store_type(expr, fixup_partial_type(result)) return result return None def dangerous_comparison( self, left: Type, right: Type, *, original_container: Type | None = None, seen_types: set[tuple[Type, Type]] | None = None, prefer_literal: bool = True, identity_check: bool = False, ) -> bool: """Check for dangerous non-overlapping comparisons like 42 == 'no'. The original_container is the original container type for 'in' checks (and None for equality checks). Rules: * X and None are overlapping even in strict-optional mode. This is to allow 'assert x is not None' for x defined as 'x = None # type: str' in class body (otherwise mypy itself would have couple dozen errors because of this). * Optional[X] and Optional[Y] are non-overlapping if X and Y are non-overlapping, although technically None is overlap, it is most likely an error. * Any overlaps with everything, i.e. always safe. * Special case: b'abc' in b'cde' is safe. """ if not self.chk.options.strict_equality: return False if seen_types is None: seen_types = set() if (left, right) in seen_types: return False seen_types.add((left, right)) left, right = get_proper_types((left, right)) # We suppress the error for equality and container checks if there is a custom __eq__() # method on either side. User defined (or even standard library) classes can define this # to return True for comparisons between non-overlapping types. if ( custom_special_method(left, "__eq__") or custom_special_method(right, "__eq__") ) and not identity_check: return False if prefer_literal: # Also flag non-overlapping literals in situations like: # x: Literal['a', 'b'] # if x == 'c': # ... left = try_getting_literal(left) right = try_getting_literal(right) if self.chk.binder.is_unreachable_warning_suppressed(): # We are inside a function that contains type variables with value restrictions in # its signature. In this case we just suppress all strict-equality checks to avoid # false positives for code like: # # T = TypeVar('T', str, int) # def f(x: T) -> T: # if x == 0: # ... # return x # # TODO: find a way of disabling the check only for types resulted from the expansion. return False if self.chk.options.strict_equality_for_none: if isinstance(left, NoneType) and isinstance(right, NoneType): return False elif isinstance(left, NoneType) or isinstance(right, NoneType): return False if isinstance(left, UnionType) and isinstance(right, UnionType): left = remove_optional(left) right = remove_optional(right) left, right = get_proper_types((left, right)) if ( original_container and has_bytes_component(original_container) and has_bytes_component(left) ): # We need to special case bytes and bytearray, because 97 in b'abc', b'a' in b'abc', # b'a' in bytearray(b'abc') etc. all return True (and we want to show the error only # if the check can _never_ be True). return False if isinstance(left, Instance) and isinstance(right, Instance): # Special case some builtin implementations of AbstractSet. left_name = left.type.fullname right_name = right.type.fullname if ( left_name in OVERLAPPING_TYPES_ALLOWLIST and right_name in OVERLAPPING_TYPES_ALLOWLIST ): abstract_set = self.chk.lookup_typeinfo("typing.AbstractSet") left = map_instance_to_supertype(left, abstract_set) right = map_instance_to_supertype(right, abstract_set) return self.dangerous_comparison( left.args[0], right.args[0], seen_types=seen_types ) elif left.type.has_base("typing.Mapping") and right.type.has_base("typing.Mapping"): # Similar to above: Mapping ignores the classes, it just compares items. abstract_map = self.chk.lookup_typeinfo("typing.Mapping") left = map_instance_to_supertype(left, abstract_map) right = map_instance_to_supertype(right, abstract_map) return self.dangerous_comparison( left.args[0], right.args[0], seen_types=seen_types ) or self.dangerous_comparison(left.args[1], right.args[1], seen_types=seen_types) elif left_name in ("builtins.list", "builtins.tuple") and right_name == left_name: return self.dangerous_comparison( left.args[0], right.args[0], seen_types=seen_types ) elif left_name in OVERLAPPING_BYTES_ALLOWLIST and right_name in ( OVERLAPPING_BYTES_ALLOWLIST ): return False if isinstance(left, LiteralType) and isinstance(right, LiteralType): if isinstance(left.value, bool) and isinstance(right.value, bool): # Comparing different booleans is not dangerous. return False if isinstance(left, LiteralType) and isinstance(right, Instance): # bytes/bytearray comparisons are supported if left.fallback.type.fullname == "builtins.bytes" and right.type.has_base( "builtins.bytearray" ): return False if isinstance(right, LiteralType) and isinstance(left, Instance): # bytes/bytearray comparisons are supported if right.fallback.type.fullname == "builtins.bytes" and left.type.has_base( "builtins.bytearray" ): return False return not is_overlapping_types(left, right, ignore_promotions=False) def check_method_call_by_name( self, method: str, base_type: Type, args: list[Expression], arg_kinds: list[ArgKind], context: Context, original_type: Type | None = None, self_type: Type | None = None, ) -> tuple[Type, Type]: """Type check a call to a named method on an object. Return tuple (result type, inferred method type). The 'original_type' is used for error messages. The self_type is to bind self in methods (see analyze_member_access for more details). """ original_type = original_type or base_type self_type = self_type or base_type # Unions are special-cased to allow plugins to act on each element of the union. base_type = get_proper_type(base_type) if isinstance(base_type, UnionType): return self.check_union_method_call_by_name( method, base_type, args, arg_kinds, context, original_type ) method_type = analyze_member_access( method, base_type, context, is_lvalue=False, is_super=False, is_operator=True, original_type=original_type, self_type=self_type, chk=self.chk, in_literal_context=self.is_literal_context(), ) return self.check_method_call(method, base_type, method_type, args, arg_kinds, context) def check_union_method_call_by_name( self, method: str, base_type: UnionType, args: list[Expression], arg_kinds: list[ArgKind], context: Context, original_type: Type | None = None, ) -> tuple[Type, Type]: """Type check a call to a named method on an object with union type. This essentially checks the call using check_method_call_by_name() for each union item and unions the result. We do this to allow plugins to act on individual union items. """ res: list[Type] = [] meth_res: list[Type] = [] for typ in base_type.relevant_items(): # Format error messages consistently with # mypy.checkmember.analyze_union_member_access(). with self.msg.disable_type_names(): item, meth_item = self.check_method_call_by_name( method, typ, args, arg_kinds, context, original_type ) res.append(item) meth_res.append(meth_item) return make_simplified_union(res), make_simplified_union(meth_res) def check_method_call( self, method_name: str, base_type: Type, method_type: Type, args: list[Expression], arg_kinds: list[ArgKind], context: Context, ) -> tuple[Type, Type]: """Type check a call to a method with the given name and type on an object. Return tuple (result type, inferred method type). """ callable_name = self.method_fullname(base_type, method_name) object_type = base_type if callable_name is not None else None # Try to refine the method signature using plugin hooks before checking the call. method_type = self.transform_callee_type( callable_name, method_type, args, arg_kinds, context, object_type=object_type ) return self.check_call( method_type, args, arg_kinds, context, callable_name=callable_name, object_type=base_type, ) def check_op_reversible( self, op_name: str, left_type: Type, left_expr: Expression, right_type: Type, right_expr: Expression, context: Context, ) -> tuple[Type, Type]: def lookup_operator(op_name: str, base_type: Type) -> Type | None: """Looks up the given operator and returns the corresponding type, if it exists.""" # This check is an important performance optimization. if not has_operator(base_type, op_name, self.named_type): return None with self.msg.filter_errors() as w: member = analyze_member_access( name=op_name, typ=base_type, is_lvalue=False, is_super=False, is_operator=True, original_type=base_type, context=context, chk=self.chk, in_literal_context=self.is_literal_context(), ) return None if w.has_new_errors() else member def lookup_definer(typ: Instance, attr_name: str) -> str | None: """Returns the name of the class that contains the actual definition of attr_name. So if class A defines foo and class B subclasses A, running 'get_class_defined_in(B, "foo")` would return the full name of A. However, if B were to override and redefine foo, that method call would return the full name of B instead. If the attr name is not present in the given class or its MRO, returns None. """ for cls in typ.type.mro: if cls.names.get(attr_name): return cls.fullname return None left_type = get_proper_type(left_type) right_type = get_proper_type(right_type) # If either the LHS or the RHS are Any, we can't really concluding anything # about the operation since the Any type may or may not define an # __op__ or __rop__ method. So, we punt and return Any instead. if isinstance(left_type, AnyType): any_type = AnyType(TypeOfAny.from_another_any, source_any=left_type) return any_type, any_type if isinstance(right_type, AnyType): any_type = AnyType(TypeOfAny.from_another_any, source_any=right_type) return any_type, any_type # STEP 1: # We start by getting the __op__ and __rop__ methods, if they exist. rev_op_name = operators.reverse_op_methods[op_name] left_op = lookup_operator(op_name, left_type) right_op = lookup_operator(rev_op_name, right_type) # STEP 2a: # We figure out in which order Python will call the operator methods. As it # turns out, it's not as simple as just trying to call __op__ first and # __rop__ second. # # We store the determined order inside the 'variants_raw' variable, # which records tuples containing the method, base type, and the argument. if op_name in operators.op_methods_that_shortcut and is_same_type(left_type, right_type): # When we do "A() + A()", for example, Python will only call the __add__ method, # never the __radd__ method. # # This is the case even if the __add__ method is completely missing and the __radd__ # method is defined. variants_raw = [(op_name, left_op, left_type, right_expr)] elif ( is_subtype(right_type, left_type) and isinstance(left_type, Instance) and isinstance(right_type, Instance) and not ( left_type.type.alt_promote is not None and left_type.type.alt_promote.type is right_type.type ) and lookup_definer(left_type, op_name) != lookup_definer(right_type, rev_op_name) ): # When we do "A() + B()" where B is a subclass of A, we'll actually try calling # B's __radd__ method first, but ONLY if B explicitly defines or overrides the # __radd__ method. # # This mechanism lets subclasses "refine" the expected outcome of the operation, even # if they're located on the RHS. # # As a special case, the alt_promote check makes sure that we don't use the # __radd__ method of int if the LHS is a native int type. variants_raw = [ (rev_op_name, right_op, right_type, left_expr), (op_name, left_op, left_type, right_expr), ] else: # In all other cases, we do the usual thing and call __add__ first and # __radd__ second when doing "A() + B()". variants_raw = [ (op_name, left_op, left_type, right_expr), (rev_op_name, right_op, right_type, left_expr), ] # STEP 3: # We now filter out all non-existent operators. The 'variants' list contains # all operator methods that are actually present, in the order that Python # attempts to invoke them. variants = [(na, op, obj, arg) for (na, op, obj, arg) in variants_raw if op is not None] # STEP 4: # We now try invoking each one. If an operation succeeds, end early and return # the corresponding result. Otherwise, return the result and errors associated # with the first entry. errors = [] results = [] for name, method, obj, arg in variants: with self.msg.filter_errors(save_filtered_errors=True) as local_errors: result = self.check_method_call(name, obj, method, [arg], [ARG_POS], context) if local_errors.has_new_errors(): errors.append(local_errors.filtered_errors()) results.append(result) else: return result # We finish invoking above operators and no early return happens. Therefore, # we check if either the LHS or the RHS is Instance and fallbacks to Any, # if so, we also return Any if (isinstance(left_type, Instance) and left_type.type.fallback_to_any) or ( isinstance(right_type, Instance) and right_type.type.fallback_to_any ): any_type = AnyType(TypeOfAny.special_form) return any_type, any_type # STEP 4b: # Sometimes, the variants list is empty. In that case, we fall-back to attempting to # call the __op__ method (even though it's missing). if not variants: with self.msg.filter_errors(save_filtered_errors=True) as local_errors: result = self.check_method_call_by_name( op_name, left_type, [right_expr], [ARG_POS], context ) if local_errors.has_new_errors(): errors.append(local_errors.filtered_errors()) results.append(result) else: # Although we should not need this case anymore, we keep it just in case, as # otherwise we will get a crash if we introduce inconsistency in checkmember.py return result self.msg.add_errors(errors[0]) if len(results) == 1: return results[0] else: error_any = AnyType(TypeOfAny.from_error) result = error_any, error_any return result def check_op( self, method: str, base_type: Type, arg: Expression, context: Context, allow_reverse: bool = False, ) -> tuple[Type, Type]: """Type check a binary operation which maps to a method call. Return tuple (result type, inferred operator method type). """ if allow_reverse: left_variants = [base_type] base_type = get_proper_type(base_type) if isinstance(base_type, UnionType): left_variants = list(flatten_nested_unions(base_type.relevant_items())) right_type = self.accept(arg) # Step 1: We first try leaving the right arguments alone and destructure # just the left ones. (Mypy can sometimes perform some more precise inference # if we leave the right operands a union -- see testOperatorWithEmptyListAndSum.) all_results = [] all_inferred = [] with self.msg.filter_errors() as local_errors: for left_possible_type in left_variants: result, inferred = self.check_op_reversible( op_name=method, left_type=left_possible_type, left_expr=TempNode(left_possible_type, context=context), right_type=right_type, right_expr=arg, context=context, ) all_results.append(result) all_inferred.append(inferred) if not local_errors.has_new_errors(): results_final = make_simplified_union(all_results) inferred_final = make_simplified_union(all_inferred) return results_final, inferred_final # Step 2: If that fails, we try again but also destructure the right argument. # This is also necessary to make certain edge cases work -- see # testOperatorDoubleUnionInterwovenUnionAdd, for example. # Note: We want to pass in the original 'arg' for 'left_expr' and 'right_expr' # whenever possible so that plugins and similar things can introspect on the original # node if possible. # # We don't do the same for the base expression because it could lead to weird # type inference errors -- e.g. see 'testOperatorDoubleUnionSum'. # TODO: Can we use `type_overrides_set()` here? right_variants = [(right_type, arg)] right_type = get_proper_type(right_type) if isinstance(right_type, UnionType): right_variants = [ (item, TempNode(item, context=context)) for item in flatten_nested_unions(right_type.relevant_items()) ] all_results = [] all_inferred = [] with self.msg.filter_errors(save_filtered_errors=True) as local_errors: for left_possible_type in left_variants: for right_possible_type, right_expr in right_variants: result, inferred = self.check_op_reversible( op_name=method, left_type=left_possible_type, left_expr=TempNode(left_possible_type, context=context), right_type=right_possible_type, right_expr=right_expr, context=context, ) all_results.append(result) all_inferred.append(inferred) if local_errors.has_new_errors(): self.msg.add_errors(local_errors.filtered_errors()) # Point any notes to the same location as an existing message. err = local_errors.filtered_errors()[-1] recent_context = TempNode(NoneType()) recent_context.line = err.line recent_context.column = err.column if len(left_variants) >= 2 and len(right_variants) >= 2: self.msg.warn_both_operands_are_from_unions(recent_context) elif len(left_variants) >= 2: self.msg.warn_operand_was_from_union("Left", base_type, context=recent_context) elif len(right_variants) >= 2: self.msg.warn_operand_was_from_union( "Right", right_type, context=recent_context ) # See the comment in 'check_overload_call' for more details on why # we call 'combine_function_signature' instead of just unioning the inferred # callable types. results_final = make_simplified_union(all_results) inferred_final = self.combine_function_signatures(get_proper_types(all_inferred)) return results_final, inferred_final else: return self.check_method_call_by_name( method=method, base_type=base_type, args=[arg], arg_kinds=[ARG_POS], context=context, ) def check_boolean_op(self, e: OpExpr) -> Type: """Type check a boolean operation ('and' or 'or').""" # A boolean operation can evaluate to either of the operands. # We use the current type context to guide the type inference of # the left operand. We also use the left operand type to guide the type # inference of the right operand so that expressions such as # '[1] or []' are inferred correctly. ctx = self.type_context[-1] left_type = self.accept(e.left, ctx) expanded_left_type = try_expanding_sum_type_to_union(left_type, "builtins.bool") assert e.op in ("and", "or") # Checked by visit_op_expr if e.right_always: left_map: mypy.checker.TypeMap = None right_map: mypy.checker.TypeMap = {} elif e.right_unreachable: left_map, right_map = {}, None elif e.op == "and": right_map, left_map = self.chk.find_isinstance_check(e.left) elif e.op == "or": left_map, right_map = self.chk.find_isinstance_check(e.left) # If left_map is None then we know mypy considers the left expression # to be redundant. if ( codes.REDUNDANT_EXPR in self.chk.options.enabled_error_codes and left_map is None # don't report an error if it's intentional and not e.right_always ): self.msg.redundant_left_operand(e.op, e.left) if ( self.chk.should_report_unreachable_issues() and right_map is None # don't report an error if it's intentional and not e.right_unreachable ): self.msg.unreachable_right_operand(e.op, e.right) right_type = self.analyze_cond_branch( right_map, e.right, self._combined_context(expanded_left_type) ) if left_map is None and right_map is None: return UninhabitedType() if right_map is None: # The boolean expression is statically known to be the left value assert left_map is not None return left_type if left_map is None: # The boolean expression is statically known to be the right value assert right_map is not None return right_type if e.op == "and": restricted_left_type = false_only(expanded_left_type) result_is_left = not expanded_left_type.can_be_true elif e.op == "or": restricted_left_type = true_only(expanded_left_type) result_is_left = not expanded_left_type.can_be_false if isinstance(restricted_left_type, UninhabitedType): # The left operand can never be the result return right_type elif result_is_left: # The left operand is always the result return left_type else: return make_simplified_union([restricted_left_type, right_type]) def check_list_multiply(self, e: OpExpr) -> Type: """Type check an expression of form '[...] * e'. Type inference is special-cased for this common construct. """ right_type = self.accept(e.right) if is_subtype(right_type, self.named_type("builtins.int")): # Special case: [...] * . Use the type context of the # OpExpr, since the multiplication does not affect the type. left_type = self.accept(e.left, type_context=self.type_context[-1]) else: left_type = self.accept(e.left) result, method_type = self.check_op("__mul__", left_type, e.right, e) e.method_type = method_type return result def visit_assignment_expr(self, e: AssignmentExpr) -> Type: value = self.accept(e.value) self.chk.check_assignment(e.target, e.value) self.chk.check_final(e) if not has_uninhabited_component(value): # TODO: can we get rid of this extra store_type()? # Usually, check_assignment() already stores the lvalue type correctly. self.chk.store_type(e.target, value) self.find_partial_type_ref_fast_path(e.target) return value def visit_unary_expr(self, e: UnaryExpr) -> Type: """Type check an unary operation ('not', '-', '+' or '~').""" operand_type = self.accept(e.expr) op = e.op if op == "not": result: Type = self.bool_type() self.chk.check_for_truthy_type(operand_type, e.expr) else: method = operators.unary_op_methods[op] result, method_type = self.check_method_call_by_name(method, operand_type, [], [], e) e.method_type = method_type return result def visit_index_expr(self, e: IndexExpr) -> Type: """Type check an index expression (base[index]). It may also represent type application. """ result = self.visit_index_expr_helper(e) result = self.narrow_type_from_binder(e, result) p_result = get_proper_type(result) if ( self.is_literal_context() and isinstance(p_result, Instance) and p_result.last_known_value is not None ): result = p_result.last_known_value return result def visit_index_expr_helper(self, e: IndexExpr) -> Type: if e.analyzed: # It's actually a type application. return self.accept(e.analyzed) left_type = self.accept(e.base) return self.visit_index_with_type(left_type, e) def visit_index_with_type( self, left_type: Type, e: IndexExpr, original_type: ProperType | None = None, self_type: Type | None = None, ) -> Type: """Analyze type of an index expression for a given type of base expression. The 'original_type' is used for error messages (currently used for union types). The 'self_type' is to bind self in methods (see analyze_member_access for more details). """ index = e.index self_type = self_type or left_type left_type = get_proper_type(left_type) # Visit the index, just to make sure we have a type for it available self.accept(index) if isinstance(left_type, TupleType) and any( isinstance(it, UnpackType) for it in left_type.items ): # Normalize variadic tuples for consistency. left_type = expand_type(left_type, {}) if isinstance(left_type, UnionType): original_type = original_type or left_type # Don't combine literal types, since we may need them for type narrowing. return make_simplified_union( [ self.visit_index_with_type(typ, e, original_type) for typ in left_type.relevant_items() ], contract_literals=False, ) elif isinstance(left_type, TupleType) and self.chk.in_checked_function(): # Special case for tuples. They return a more specific type when # indexed by an integer literal. if isinstance(index, SliceExpr): return self.visit_tuple_slice_helper(left_type, index) ns = self.try_getting_int_literals(index) if ns is not None: out = [] for n in ns: item = self.visit_tuple_index_helper(left_type, n) if item is not None: out.append(item) else: self.chk.fail(message_registry.TUPLE_INDEX_OUT_OF_RANGE, e) if any(isinstance(t, UnpackType) for t in left_type.items): min_len = self.min_tuple_length(left_type) self.chk.note(f"Variadic tuple can have length {min_len}", e) return AnyType(TypeOfAny.from_error) return make_simplified_union(out) else: return self.nonliteral_tuple_index_helper(left_type, index) elif isinstance(left_type, TypedDictType): return self.visit_typeddict_index_expr(left_type, e.index)[0] elif isinstance(left_type, FunctionLike) and left_type.is_type_obj(): if left_type.type_object().is_enum: return self.visit_enum_index_expr(left_type.type_object(), e.index, e) elif ( left_type.type_object().type_vars or left_type.type_object().fullname == "builtins.type" ): return self.named_type("types.GenericAlias") if isinstance(left_type, TypeVarType): return self.visit_index_with_type( left_type.values_or_bound(), e, original_type, left_type ) elif isinstance(left_type, Instance) and left_type.type.fullname == "typing._SpecialForm": # Allow special forms to be indexed and used to create union types return self.named_type("typing._SpecialForm") else: result, method_type = self.check_method_call_by_name( "__getitem__", left_type, [e.index], [ARG_POS], e, original_type=original_type, self_type=self_type, ) e.method_type = method_type return result def min_tuple_length(self, left: TupleType) -> int: unpack_index = find_unpack_in_list(left.items) if unpack_index is None: return left.length() unpack = left.items[unpack_index] assert isinstance(unpack, UnpackType) if isinstance(unpack.type, TypeVarTupleType): return left.length() - 1 + unpack.type.min_len return left.length() - 1 def visit_tuple_index_helper(self, left: TupleType, n: int) -> Type | None: unpack_index = find_unpack_in_list(left.items) if unpack_index is None: if n < 0: n += len(left.items) if 0 <= n < len(left.items): return left.items[n] return None unpack = left.items[unpack_index] assert isinstance(unpack, UnpackType) unpacked = get_proper_type(unpack.type) if isinstance(unpacked, TypeVarTupleType): # Usually we say that TypeVarTuple can't be split, be in case of # indexing it seems benign to just return the upper bound item, similar # to what we do when indexing a regular TypeVar. bound = get_proper_type(unpacked.upper_bound) assert isinstance(bound, Instance) assert bound.type.fullname == "builtins.tuple" middle = bound.args[0] else: assert isinstance(unpacked, Instance) assert unpacked.type.fullname == "builtins.tuple" middle = unpacked.args[0] extra_items = self.min_tuple_length(left) - left.length() + 1 if n >= 0: if n >= self.min_tuple_length(left): # For tuple[int, *tuple[str, ...], int] we allow either index 0 or 1, # since variadic item may have zero items. return None if n < unpack_index: return left.items[n] return UnionType.make_union( [middle] + left.items[unpack_index + 1 : max(n - extra_items + 2, unpack_index + 1)], left.line, left.column, ) n += self.min_tuple_length(left) if n < 0: # Similar to above, we only allow -1, and -2 for tuple[int, *tuple[str, ...], int] return None if n >= unpack_index + extra_items: return left.items[n - extra_items + 1] return UnionType.make_union( left.items[min(n, unpack_index) : unpack_index] + [middle], left.line, left.column ) def visit_tuple_slice_helper(self, left_type: TupleType, slic: SliceExpr) -> Type: begin: Sequence[int | None] = [None] end: Sequence[int | None] = [None] stride: Sequence[int | None] = [None] if slic.begin_index: begin_raw = self.try_getting_int_literals(slic.begin_index) if begin_raw is None: return self.nonliteral_tuple_index_helper(left_type, slic) begin = begin_raw if slic.end_index: end_raw = self.try_getting_int_literals(slic.end_index) if end_raw is None: return self.nonliteral_tuple_index_helper(left_type, slic) end = end_raw if slic.stride: stride_raw = self.try_getting_int_literals(slic.stride) if stride_raw is None: return self.nonliteral_tuple_index_helper(left_type, slic) stride = stride_raw items: list[Type] = [] for b, e, s in itertools.product(begin, end, stride): item = left_type.slice(b, e, s, fallback=self.named_type("builtins.tuple")) if item is None: self.chk.fail(message_registry.AMBIGUOUS_SLICE_OF_VARIADIC_TUPLE, slic) return AnyType(TypeOfAny.from_error) items.append(item) return make_simplified_union(items) def try_getting_int_literals(self, index: Expression) -> list[int] | None: """If the given expression or type corresponds to an int literal or a union of int literals, returns a list of the underlying ints. Otherwise, returns None. Specifically, this function is guaranteed to return a list with one or more ints if one the following is true: 1. 'expr' is a IntExpr or a UnaryExpr backed by an IntExpr 2. 'typ' is a LiteralType containing an int 3. 'typ' is a UnionType containing only LiteralType of ints """ if isinstance(index, IntExpr): return [index.value] elif isinstance(index, UnaryExpr): if index.op == "-": operand = index.expr if isinstance(operand, IntExpr): return [-1 * operand.value] if index.op == "+": operand = index.expr if isinstance(operand, IntExpr): return [operand.value] typ = get_proper_type(self.accept(index)) if isinstance(typ, Instance) and typ.last_known_value is not None: typ = typ.last_known_value if isinstance(typ, LiteralType) and isinstance(typ.value, int): return [typ.value] if isinstance(typ, UnionType): out = [] for item in get_proper_types(typ.items): if isinstance(item, LiteralType) and isinstance(item.value, int): out.append(item.value) else: return None return out return None def nonliteral_tuple_index_helper(self, left_type: TupleType, index: Expression) -> Type: self.check_method_call_by_name("__getitem__", left_type, [index], [ARG_POS], context=index) # We could return the return type from above, but unions are often better than the join union = self.union_tuple_fallback_item(left_type) if isinstance(index, SliceExpr): return self.chk.named_generic_type("builtins.tuple", [union]) return union def union_tuple_fallback_item(self, left_type: TupleType) -> Type: # TODO: this duplicates logic in typeops.tuple_fallback(). items = [] for item in left_type.items: if isinstance(item, UnpackType): unpacked_type = get_proper_type(item.type) if isinstance(unpacked_type, TypeVarTupleType): unpacked_type = get_proper_type(unpacked_type.upper_bound) if ( isinstance(unpacked_type, Instance) and unpacked_type.type.fullname == "builtins.tuple" ): items.append(unpacked_type.args[0]) else: raise NotImplementedError else: items.append(item) return make_simplified_union(items) def visit_typeddict_index_expr( self, td_type: TypedDictType, index: Expression, setitem: bool = False ) -> tuple[Type, set[str]]: if isinstance(index, StrExpr): key_names = [index.value] else: typ = get_proper_type(self.accept(index)) if isinstance(typ, UnionType): key_types: list[Type] = list(typ.items) else: key_types = [typ] key_names = [] for key_type in get_proper_types(key_types): if isinstance(key_type, Instance) and key_type.last_known_value is not None: key_type = key_type.last_known_value if ( isinstance(key_type, LiteralType) and isinstance(key_type.value, str) and key_type.fallback.type.fullname != "builtins.bytes" ): key_names.append(key_type.value) else: self.msg.typeddict_key_must_be_string_literal(td_type, index) return AnyType(TypeOfAny.from_error), set() value_types = [] for key_name in key_names: value_type = td_type.items.get(key_name) if value_type is None: self.msg.typeddict_key_not_found(td_type, key_name, index, setitem) return AnyType(TypeOfAny.from_error), set() else: value_types.append(value_type) return make_simplified_union(value_types), set(key_names) def visit_enum_index_expr( self, enum_type: TypeInfo, index: Expression, context: Context ) -> Type: string_type: Type = self.named_type("builtins.str") self.chk.check_subtype( self.accept(index), string_type, context, "Enum index should be a string", "actual index type", ) return Instance(enum_type, []) def visit_cast_expr(self, expr: CastExpr) -> Type: """Type check a cast expression.""" source_type = self.accept( expr.expr, type_context=AnyType(TypeOfAny.special_form), allow_none_return=True, always_allow_any=True, ) target_type = expr.type options = self.chk.options if ( options.warn_redundant_casts and not is_same_type(target_type, AnyType(TypeOfAny.special_form)) and is_same_type(source_type, target_type) ): self.msg.redundant_cast(target_type, expr) if options.disallow_any_unimported and has_any_from_unimported_type(target_type): self.msg.unimported_type_becomes_any("Target type of cast", target_type, expr) check_for_explicit_any( target_type, self.chk.options, self.chk.is_typeshed_stub, self.msg, context=expr ) return target_type def visit_type_form_expr(self, expr: TypeFormExpr) -> Type: typ = expr.type return TypeType.make_normalized(typ, line=typ.line, column=typ.column, is_type_form=True) def visit_assert_type_expr(self, expr: AssertTypeExpr) -> Type: source_type = self.accept( expr.expr, type_context=self.type_context[-1], allow_none_return=True, always_allow_any=True, ) if self.chk.current_node_deferred: return source_type target_type = expr.type proper_source_type = get_proper_type(source_type) if ( isinstance(proper_source_type, mypy.types.Instance) and proper_source_type.last_known_value is not None ): source_type = proper_source_type.last_known_value if not is_same_type(source_type, target_type): if not self.chk.in_checked_function(): self.msg.note( '"assert_type" expects everything to be "Any" in unchecked functions', expr.expr, ) self.msg.assert_type_fail(source_type, target_type, expr) return source_type def visit_reveal_expr(self, expr: RevealExpr) -> Type: """Type check a reveal_type expression.""" if expr.kind == REVEAL_TYPE: assert expr.expr is not None revealed_type = self.accept( expr.expr, type_context=self.type_context[-1], allow_none_return=True ) if not self.chk.current_node_deferred: self.msg.reveal_type(revealed_type, expr.expr) if not self.chk.in_checked_function(): self.msg.note( "'reveal_type' always outputs 'Any' in unchecked functions", expr.expr ) self.check_reveal_imported(expr) return revealed_type else: # REVEAL_LOCALS if not self.chk.current_node_deferred: # the RevealExpr contains a local_nodes attribute, # calculated at semantic analysis time. Use it to pull out the # corresponding subset of variables in self.chk.type_map names_to_types = ( {var_node.name: var_node.type for var_node in expr.local_nodes} if expr.local_nodes is not None else {} ) self.msg.reveal_locals(names_to_types, expr) self.check_reveal_imported(expr) return NoneType() def check_reveal_imported(self, expr: RevealExpr) -> None: if codes.UNIMPORTED_REVEAL not in self.chk.options.enabled_error_codes: return name = "" if expr.kind == REVEAL_LOCALS: name = "reveal_locals" elif expr.kind == REVEAL_TYPE and not expr.is_imported: name = "reveal_type" else: return self.chk.fail(f'Name "{name}" is not defined', expr, code=codes.UNIMPORTED_REVEAL) if name == "reveal_type": module = ( "typing" if self.chk.options.python_version >= (3, 11) else "typing_extensions" ) hint = ( 'Did you forget to import it from "{module}"?' ' (Suggestion: "from {module} import {name}")' ).format(module=module, name=name) self.chk.note(hint, expr, code=codes.UNIMPORTED_REVEAL) def visit_type_application(self, tapp: TypeApplication) -> Type: """Type check a type application (expr[type, ...]). There are two different options here, depending on whether expr refers to a type alias or directly to a generic class. In the first case we need to use a dedicated function typeanal.instantiate_type_alias(). This is due to slight differences in how type arguments are applied and checked. """ if isinstance(tapp.expr, RefExpr) and isinstance(tapp.expr.node, TypeAlias): if tapp.expr.node.python_3_12_type_alias: return self.type_alias_type_type() # Subscription of a (generic) alias in runtime context, expand the alias. item = instantiate_type_alias( tapp.expr.node, tapp.types, self.chk.fail, tapp.expr.node.no_args, tapp, self.chk.options, ) item = get_proper_type(item) if isinstance(item, Instance): tp = type_object_type(item.type, self.named_type) return self.apply_type_arguments_to_callable(tp, item.args, tapp) elif isinstance(item, TupleType) and item.partial_fallback.type.is_named_tuple: tp = type_object_type(item.partial_fallback.type, self.named_type) return self.apply_type_arguments_to_callable(tp, item.partial_fallback.args, tapp) elif isinstance(item, TypedDictType): return self.typeddict_callable_from_context(item) else: self.chk.fail(message_registry.ONLY_CLASS_APPLICATION, tapp) return AnyType(TypeOfAny.from_error) # Type application of a normal generic class in runtime context. # This is typically used as `x = G[int]()`. tp = get_proper_type(self.accept(tapp.expr)) if isinstance(tp, (CallableType, Overloaded)): if not tp.is_type_obj(): self.chk.fail(message_registry.ONLY_CLASS_APPLICATION, tapp) return self.apply_type_arguments_to_callable(tp, tapp.types, tapp) if isinstance(tp, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=tp) return AnyType(TypeOfAny.special_form) def visit_type_alias_expr(self, alias: TypeAliasExpr) -> Type: """Right hand side of a type alias definition. It has the same type as if the alias itself was used in a runtime context. For example, here: A = reveal_type(List[T]) reveal_type(A) both `reveal_type` instances will reveal the same type `def (...) -> builtins.list[Any]`. Note that type variables are implicitly substituted with `Any`. """ return self.alias_type_in_runtime_context(alias.node, ctx=alias, alias_definition=True) def alias_type_in_runtime_context( self, alias: TypeAlias, *, ctx: Context, alias_definition: bool = False ) -> Type: """Get type of a type alias (could be generic) in a runtime expression. Note that this function can be called only if the alias appears _not_ as a target of type application, which is treated separately in the visit_type_application method. Some examples where this method is called are casts and instantiation: class LongName(Generic[T]): ... A = LongName[int] x = A() y = cast(A, ...) """ if alias.python_3_12_type_alias: return self.type_alias_type_type() if isinstance(alias.target, Instance) and alias.target.invalid: # type: ignore[misc] # An invalid alias, error already has been reported return AnyType(TypeOfAny.from_error) # If this is a generic alias, we set all variables to `Any`. # For example: # A = List[Tuple[T, T]] # x = A() <- same as List[Tuple[Any, Any]], see PEP 484. disallow_any = self.chk.options.disallow_any_generics and self.is_callee item = get_proper_type( set_any_tvars( alias, [], ctx.line, ctx.column, self.chk.options, disallow_any=disallow_any, fail=self.msg.fail, ) ) if isinstance(item, Instance): # Normally we get a callable type (or overloaded) with .is_type_obj() true # representing the class's constructor tp = type_object_type(item.type, self.named_type) if alias.no_args: return tp return self.apply_type_arguments_to_callable(tp, item.args, ctx) elif ( isinstance(item, TupleType) and # Tuple[str, int]() fails at runtime, only named tuples and subclasses work. tuple_fallback(item).type.fullname != "builtins.tuple" ): return type_object_type(tuple_fallback(item).type, self.named_type) elif isinstance(item, TypedDictType): return self.typeddict_callable_from_context(item) elif isinstance(item, NoneType): return TypeType(item, line=item.line, column=item.column) elif isinstance(item, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=item) elif ( isinstance(item, UnionType) and item.uses_pep604_syntax and self.chk.options.python_version >= (3, 10) ): return self.chk.named_generic_type("types.UnionType", item.items) else: if alias_definition: return AnyType(TypeOfAny.special_form) # The _SpecialForm type can be used in some runtime contexts (e.g. it may have __or__). return self.named_type("typing._SpecialForm") def split_for_callable( self, t: CallableType, args: Sequence[Type], ctx: Context ) -> list[Type]: """Handle directly applying type arguments to a variadic Callable. This is needed in situations where e.g. variadic class object appears in runtime context. For example: class C(Generic[T, Unpack[Ts]]): ... x = C[int, str]() We simply group the arguments that need to go into Ts variable into a TupleType, similar to how it is done in other places using split_with_prefix_and_suffix(). """ if t.is_type_obj(): # Type arguments must map to class type variables, ignoring constructor vars. vars = t.type_object().defn.type_vars else: vars = list(t.variables) args = flatten_nested_tuples(args) # TODO: this logic is duplicated with semanal_typeargs. for tv, arg in zip(t.variables, args): if isinstance(tv, ParamSpecType): if not isinstance( get_proper_type(arg), (Parameters, ParamSpecType, AnyType, UnboundType) ): self.chk.fail( "Can only replace ParamSpec with a parameter types list or" f" another ParamSpec, got {format_type(arg, self.chk.options)}", ctx, ) return [AnyType(TypeOfAny.from_error)] * len(vars) if not vars or not any(isinstance(v, TypeVarTupleType) for v in vars): return list(args) # TODO: in future we may want to support type application to variadic functions. assert t.is_type_obj() info = t.type_object() # We reuse the logic from semanal phase to reduce code duplication. fake = Instance(info, args, line=ctx.line, column=ctx.column) # This code can be only called either from checking a type application, or from # checking a type alias (after the caller handles no_args aliases), so we know it # was initially an IndexExpr, and we allow empty tuple type arguments. if not validate_instance(fake, self.chk.fail, empty_tuple_index=True): fix_instance( fake, self.chk.fail, self.chk.note, disallow_any=False, options=self.chk.options ) args = list(fake.args) prefix = next(i for (i, v) in enumerate(vars) if isinstance(v, TypeVarTupleType)) suffix = len(vars) - prefix - 1 tvt = vars[prefix] assert isinstance(tvt, TypeVarTupleType) start, middle, end = split_with_prefix_and_suffix(tuple(args), prefix, suffix) return list(start) + [TupleType(list(middle), tvt.tuple_fallback)] + list(end) def apply_type_arguments_to_callable( self, tp: Type, args: Sequence[Type], ctx: Context ) -> Type: """Apply type arguments to a generic callable type coming from a type object. This will first perform type arguments count checks, report the error as needed, and return the correct kind of Any. As a special case this returns Any for non-callable types, because if type object type is not callable, then an error should be already reported. """ tp = get_proper_type(tp) if isinstance(tp, CallableType): if tp.is_type_obj(): # If we have a class object in runtime context, then the available type # variables are those of the class, we don't include additional variables # of the constructor. So that with # class C(Generic[T]): # def __init__(self, f: Callable[[S], T], x: S) -> None # C[int] is valid # C[int, str] is invalid (although C as a callable has 2 type variables) # Note: various logic below and in applytype.py relies on the fact that # class type variables appear *before* constructor variables. type_vars = tp.type_object().defn.type_vars else: type_vars = list(tp.variables) min_arg_count = sum(not v.has_default() for v in type_vars) has_type_var_tuple = any(isinstance(v, TypeVarTupleType) for v in type_vars) if ( len(args) < min_arg_count or len(args) > len(type_vars) ) and not has_type_var_tuple: if tp.is_type_obj() and tp.type_object().fullname == "builtins.tuple": # e.g. expression tuple[X, Y] # - want the type of the expression i.e. a function with that as its return type # - tp is type of tuple (note it won't have params as we are only called # with generic callable type) # - tuple[X, Y]() takes a single arg that is a tuple containing an X and a Y return CallableType( [TupleType(list(args), self.chk.named_type("tuple"))], [ARG_POS], [None], TupleType(list(args), self.chk.named_type("tuple")), tp.fallback, name="tuple", definition=tp.definition, is_bound=tp.is_bound, ) self.msg.incompatible_type_application( min_arg_count, len(type_vars), len(args), ctx ) return AnyType(TypeOfAny.from_error) return self.apply_generic_arguments(tp, self.split_for_callable(tp, args, ctx), ctx) if isinstance(tp, Overloaded): for it in tp.items: if tp.is_type_obj(): # Same as above. type_vars = tp.type_object().defn.type_vars else: type_vars = list(it.variables) min_arg_count = sum(not v.has_default() for v in type_vars) has_type_var_tuple = any(isinstance(v, TypeVarTupleType) for v in type_vars) if ( len(args) < min_arg_count or len(args) > len(type_vars) ) and not has_type_var_tuple: self.msg.incompatible_type_application( min_arg_count, len(type_vars), len(args), ctx ) return AnyType(TypeOfAny.from_error) return Overloaded( [ self.apply_generic_arguments(it, self.split_for_callable(it, args, ctx), ctx) for it in tp.items ] ) return AnyType(TypeOfAny.special_form) def visit_list_expr(self, e: ListExpr) -> Type: """Type check a list expression [...].""" return self.check_lst_expr(e, "builtins.list", "") def visit_set_expr(self, e: SetExpr) -> Type: return self.check_lst_expr(e, "builtins.set", "") def fast_container_type( self, e: ListExpr | SetExpr | TupleExpr, container_fullname: str ) -> Type | None: """ Fast path to determine the type of a list or set literal, based on the list of entries. This mostly impacts large module-level constant definitions. Limitations: - no active type context - at least one item - no star expressions - not after deferral - either exactly one distinct type inside, or the joined type of all entries is an Instance or Tuple type, """ ctx = self.type_context[-1] if ctx or not e.items: return None if self.chk.current_node_deferred: # Guarantees that all items will be Any, we'll reject it anyway. return None rt = self.resolved_type.get(e, None) if rt is not None: return rt if isinstance(rt, Instance) else None values: list[Type] = [] # Preserve join order while avoiding O(n) lookups at every iteration values_set: set[Type] = set() for item in e.items: if isinstance(item, StarExpr): # fallback to slow path self.resolved_type[e] = NoneType() return None typ = self.accept(item) if typ not in values_set: values.append(typ) values_set.add(typ) vt = self._first_or_join_fast_item(values) if vt is None: self.resolved_type[e] = NoneType() return None ct = self.chk.named_generic_type(container_fullname, [vt]) if not self.in_lambda_expr: # We cannot cache results in lambdas - their bodies can be accepted in # error-suppressing watchers too early self.resolved_type[e] = ct return ct def _first_or_join_fast_item(self, items: list[Type]) -> Type | None: if len(items) == 1 and not self.chk.current_node_deferred: return items[0] typ = join.join_type_list(items) if not allow_fast_container_literal(typ): # TODO: This is overly strict, many other types can be joined safely here. # However, our join implementation isn't bug-free, and some joins may produce # undesired `Any`s or even more surprising results. return None return typ def check_lst_expr(self, e: ListExpr | SetExpr | TupleExpr, fullname: str, tag: str) -> Type: # fast path t = self.fast_container_type(e, fullname) if t: return t # Translate into type checking a generic function call. # Used for list and set expressions, as well as for tuples # containing star expressions that don't refer to a # Tuple. (Note: "lst" stands for list-set-tuple. :-) tv = TypeVarType( "T", "T", id=TypeVarId(-1, namespace=""), values=[], upper_bound=self.object_type(), default=AnyType(TypeOfAny.from_omitted_generics), ) constructor = CallableType( [tv], [nodes.ARG_STAR], [None], self.chk.named_generic_type(fullname, [tv]), self.named_type("builtins.function"), name=tag, variables=[tv], ) out = self.check_call( constructor, [(i.expr if isinstance(i, StarExpr) else i) for i in e.items], [(nodes.ARG_STAR if isinstance(i, StarExpr) else nodes.ARG_POS) for i in e.items], e, )[0] return remove_instance_last_known_values(out) def tuple_context_matches(self, expr: TupleExpr, ctx: TupleType) -> bool: ctx_unpack_index = find_unpack_in_list(ctx.items) if ctx_unpack_index is None: # For fixed tuples accept everything that can possibly match, even if this # requires all star items to be empty. return len([e for e in expr.items if not isinstance(e, StarExpr)]) <= len(ctx.items) # For variadic context, the only easy case is when structure matches exactly. # TODO: try using tuple type context in more cases. if len([e for e in expr.items if isinstance(e, StarExpr)]) != 1: return False expr_star_index = next(i for i, lv in enumerate(expr.items) if isinstance(lv, StarExpr)) return len(expr.items) == len(ctx.items) and ctx_unpack_index == expr_star_index def visit_tuple_expr(self, e: TupleExpr) -> Type: """Type check a tuple expression.""" # Try to determine type context for type inference. type_context = get_proper_type(self.type_context[-1]) type_context_items = None if isinstance(type_context, UnionType): tuples_in_context = [ t for t in get_proper_types(type_context.items) if (isinstance(t, TupleType) and self.tuple_context_matches(e, t)) or is_named_instance(t, TUPLE_LIKE_INSTANCE_NAMES) ] if len(tuples_in_context) == 1: type_context = tuples_in_context[0] else: # There are either no relevant tuples in the Union, or there is # more than one. Either way, we can't decide on a context. pass if isinstance(type_context, TupleType) and self.tuple_context_matches(e, type_context): type_context_items = type_context.items elif type_context and is_named_instance(type_context, TUPLE_LIKE_INSTANCE_NAMES): assert isinstance(type_context, Instance) if type_context.args: type_context_items = [type_context.args[0]] * len(e.items) # NOTE: it's possible for the context to have a different # number of items than e. In that case we use those context # items that match a position in e, and we'll worry about type # mismatches later. unpack_in_context = False if type_context_items is not None: unpack_in_context = find_unpack_in_list(type_context_items) is not None seen_unpack_in_items = False allow_precise_tuples = ( unpack_in_context or PRECISE_TUPLE_TYPES in self.chk.options.enable_incomplete_feature ) # Infer item types. Give up if there's a star expression # that's not a Tuple. items: list[Type] = [] j = 0 # Index into type_context_items; irrelevant if type_context_items is none for i in range(len(e.items)): item = e.items[i] if isinstance(item, StarExpr): # Special handling for star expressions. # TODO: If there's a context, and item.expr is a # TupleExpr, flatten it, so we can benefit from the # context? Counterargument: Why would anyone write # (1, *(2, 3)) instead of (1, 2, 3) except in a test? if unpack_in_context: # Note: this logic depends on full structure match in tuple_context_matches(). assert type_context_items ctx_item = type_context_items[j] assert isinstance(ctx_item, UnpackType) ctx = ctx_item.type else: ctx = None tt = self.accept(item.expr, ctx) tt = get_proper_type(tt) if isinstance(tt, TupleType): if find_unpack_in_list(tt.items) is not None: if seen_unpack_in_items: # Multiple unpack items are not allowed in tuples, # fall back to instance type. return self.check_lst_expr(e, "builtins.tuple", "") else: seen_unpack_in_items = True items.extend(tt.items) # Note: this logic depends on full structure match in tuple_context_matches(). if unpack_in_context: j += 1 else: # If there is an unpack in expressions, but not in context, this will # result in an error later, just do something predictable here. j += len(tt.items) else: if allow_precise_tuples and not seen_unpack_in_items: # Handle (x, *y, z), where y is e.g. tuple[Y, ...]. if isinstance(tt, Instance) and self.chk.type_is_iterable(tt): item_type = self.chk.iterable_item_type(tt, e) mapped = self.chk.named_generic_type("builtins.tuple", [item_type]) items.append(UnpackType(mapped)) seen_unpack_in_items = True continue # A star expression that's not a Tuple. # Treat the whole thing as a variable-length tuple. return self.check_lst_expr(e, "builtins.tuple", "") else: if not type_context_items or j >= len(type_context_items): tt = self.accept(item) else: tt = self.accept(item, type_context_items[j]) j += 1 items.append(tt) # This is a partial fallback item type. A precise type will be calculated on demand. fallback_item = AnyType(TypeOfAny.special_form) result: ProperType = TupleType( items, self.chk.named_generic_type("builtins.tuple", [fallback_item]) ) if seen_unpack_in_items: # Return already normalized tuple type just in case. result = expand_type(result, {}) return result def fast_dict_type(self, e: DictExpr) -> Type | None: """ Fast path to determine the type of a dict literal, based on the list of entries. This mostly impacts large module-level constant definitions. Limitations: - no active type context - at least one item - only supported star expressions are other dict instances - either exactly one distinct type (keys and values separately) inside, or the joined type of all entries is an Instance or Tuple type """ ctx = self.type_context[-1] if ctx or not e.items: return None if self.chk.current_node_deferred: # Guarantees that all items will be Any, we'll reject it anyway. return None rt = self.resolved_type.get(e, None) if rt is not None: return rt if isinstance(rt, Instance) else None keys: list[Type] = [] values: list[Type] = [] # Preserve join order while avoiding O(n) lookups at every iteration keys_set: set[Type] = set() values_set: set[Type] = set() stargs: tuple[Type, Type] | None = None for key, value in e.items: if key is None: st = get_proper_type(self.accept(value)) if ( isinstance(st, Instance) and st.type.fullname == "builtins.dict" and len(st.args) == 2 ): stargs = (st.args[0], st.args[1]) else: self.resolved_type[e] = NoneType() return None else: key_t = self.accept(key) if key_t not in keys_set: keys.append(key_t) keys_set.add(key_t) value_t = self.accept(value) if value_t not in values_set: values.append(value_t) values_set.add(value_t) kt = self._first_or_join_fast_item(keys) if kt is None: self.resolved_type[e] = NoneType() return None vt = self._first_or_join_fast_item(values) if vt is None: self.resolved_type[e] = NoneType() return None if stargs and (stargs[0] != kt or stargs[1] != vt): self.resolved_type[e] = NoneType() return None dt = self.chk.named_generic_type("builtins.dict", [kt, vt]) if not self.in_lambda_expr: # We cannot cache results in lambdas - their bodies can be accepted in # error-suppressing watchers too early self.resolved_type[e] = dt return dt def check_typeddict_literal_in_context( self, e: DictExpr, typeddict_context: TypedDictType ) -> Type: orig_ret_type = self.check_typeddict_call_with_dict( callee=typeddict_context, kwargs=e.items, context=e, orig_callee=None ) ret_type = get_proper_type(orig_ret_type) if isinstance(ret_type, TypedDictType): return ret_type.copy_modified() return typeddict_context.copy_modified() def visit_dict_expr(self, e: DictExpr) -> Type: """Type check a dict expression. Translate it into a call to dict(), with provisions for **expr. """ # if the dict literal doesn't match TypedDict, check_typeddict_call_with_dict reports # an error, but returns the TypedDict type that matches the literal it found # that would cause a second error when that TypedDict type is returned upstream # to avoid the second error, we always return TypedDict type that was requested typeddict_contexts, exhaustive = self.find_typeddict_context(self.type_context[-1], e) if typeddict_contexts: if len(typeddict_contexts) == 1 and exhaustive: return self.check_typeddict_literal_in_context(e, typeddict_contexts[0]) # Multiple items union, check if at least one of them matches cleanly. for typeddict_context in typeddict_contexts: with self.msg.filter_errors() as err, self.chk.local_type_map as tmap: ret_type = self.check_typeddict_literal_in_context(e, typeddict_context) if err.has_new_errors(): continue self.chk.store_types(tmap) return ret_type # No item matched without an error, so we can't unambiguously choose the item. if exhaustive: self.msg.typeddict_context_ambiguous(typeddict_contexts, e) # fast path attempt dt = self.fast_dict_type(e) if dt: return dt # Define type variables (used in constructors below). kt = TypeVarType( "KT", "KT", id=TypeVarId(-1, namespace=""), values=[], upper_bound=self.object_type(), default=AnyType(TypeOfAny.from_omitted_generics), ) vt = TypeVarType( "VT", "VT", id=TypeVarId(-2, namespace=""), values=[], upper_bound=self.object_type(), default=AnyType(TypeOfAny.from_omitted_generics), ) # Collect function arguments, watching out for **expr. args: list[Expression] = [] expected_types: list[Type] = [] for key, value in e.items: if key is None: args.append(value) expected_types.append( self.chk.named_generic_type("_typeshed.SupportsKeysAndGetItem", [kt, vt]) ) else: tup = TupleExpr([key, value]) if key.line >= 0: tup.line = key.line tup.column = key.column else: tup.line = value.line tup.column = value.column tup.end_line = value.end_line tup.end_column = value.end_column args.append(tup) expected_types.append(TupleType([kt, vt], self.named_type("builtins.tuple"))) # The callable type represents a function like this (except we adjust for **expr): # def (*v: Tuple[kt, vt]) -> Dict[kt, vt]: ... constructor = CallableType( expected_types, [nodes.ARG_POS] * len(expected_types), [None] * len(expected_types), self.chk.named_generic_type("builtins.dict", [kt, vt]), self.named_type("builtins.function"), name="", variables=[kt, vt], ) return self.check_call(constructor, args, [nodes.ARG_POS] * len(args), e)[0] def find_typeddict_context( self, context: Type | None, dict_expr: DictExpr ) -> tuple[list[TypedDictType], bool]: """Extract `TypedDict` members of the enclosing context. Returns: a 2-tuple, (found_candidates, is_exhaustive) """ context = get_proper_type(context) if isinstance(context, TypedDictType): return [context], True elif isinstance(context, UnionType): items = [] exhaustive = True for item in context.items: item_contexts, item_exhaustive = self.find_typeddict_context(item, dict_expr) for item_context in item_contexts: if self.match_typeddict_call_with_dict( item_context, dict_expr.items, dict_expr ): items.append(item_context) exhaustive = exhaustive and item_exhaustive return items, exhaustive # No TypedDict type in context. return [], False def visit_lambda_expr(self, e: LambdaExpr) -> Type: """Type check lambda expression.""" old_in_lambda = self.in_lambda_expr self.in_lambda_expr = True self.chk.check_default_args(e, body_is_trivial=False) inferred_type, type_override = self.infer_lambda_type_using_context(e) if not inferred_type: self.chk.return_types.append(AnyType(TypeOfAny.special_form)) # Type check everything in the body except for the final return # statement (it can contain tuple unpacking before return). with ( self.chk.binder.frame_context(can_skip=True, fall_through=0), self.chk.scope.push_function(e), ): # Lambdas can have more than one element in body, # when we add "fictional" AssignmentStatement nodes, like in: # `lambda (a, b): a` for stmt in e.body.body[:-1]: stmt.accept(self.chk) # Only type check the return expression, not the return statement. # There's no useful type context. ret_type = self.accept(e.expr(), allow_none_return=True) fallback = self.named_type("builtins.function") self.chk.return_types.pop() self.in_lambda_expr = old_in_lambda return callable_type(e, fallback, ret_type) else: # Type context available. self.chk.return_types.append(inferred_type.ret_type) with self.chk.tscope.function_scope(e): self.chk.check_func_item(e, type_override=type_override) if not self.chk.has_type(e.expr()): # TODO: return expression must be accepted before exiting function scope. with self.chk.binder.frame_context(can_skip=True, fall_through=0): self.accept(e.expr(), allow_none_return=True) ret_type = self.chk.lookup_type(e.expr()) self.chk.return_types.pop() self.in_lambda_expr = old_in_lambda return replace_callable_return_type(inferred_type, ret_type) def infer_lambda_type_using_context( self, e: LambdaExpr ) -> tuple[CallableType | None, CallableType | None]: """Try to infer lambda expression type using context. Return None if could not infer type. The second item in the return type is the type_override parameter for check_func_item. """ # TODO also accept 'Any' context ctx = get_proper_type(self.type_context[-1]) if isinstance(ctx, UnionType): callables = [ t for t in get_proper_types(ctx.relevant_items()) if isinstance(t, CallableType) ] if len(callables) == 1: ctx = callables[0] if not ctx or not isinstance(ctx, CallableType): return None, None # The context may have function type variables in it. We replace them # since these are the type variables we are ultimately trying to infer; # they must be considered as indeterminate. We use ErasedType since it # does not affect type inference results (it is for purposes like this # only). if not self.chk.options.old_type_inference: # With new type inference we can preserve argument types even if they # are generic, since new inference algorithm can handle constraints # like S <: T (we still erase return type since it's ultimately unknown). extra_vars = [] for arg in ctx.arg_types: meta_vars = [tv for tv in get_all_type_vars(arg) if tv.id.is_meta_var()] extra_vars.extend([tv for tv in meta_vars if tv not in extra_vars]) callable_ctx = ctx.copy_modified( ret_type=replace_meta_vars(ctx.ret_type, ErasedType()), variables=list(ctx.variables) + extra_vars, ) else: erased_ctx = replace_meta_vars(ctx, ErasedType()) assert isinstance(erased_ctx, ProperType) and isinstance(erased_ctx, CallableType) callable_ctx = erased_ctx # The callable_ctx may have a fallback of builtins.type if the context # is a constructor -- but this fallback doesn't make sense for lambdas. callable_ctx = callable_ctx.copy_modified(fallback=self.named_type("builtins.function")) if callable_ctx.type_guard is not None or callable_ctx.type_is is not None: # Lambda's return type cannot be treated as a `TypeGuard`, # because it is implicit. And `TypeGuard`s must be explicit. # See https://github.com/python/mypy/issues/9927 return None, None arg_kinds = [arg.kind for arg in e.arguments] if callable_ctx.is_ellipsis_args or ctx.param_spec() is not None: # Fill in Any arguments to match the arguments of the lambda. callable_ctx = callable_ctx.copy_modified( is_ellipsis_args=False, arg_types=[AnyType(TypeOfAny.special_form)] * len(arg_kinds), arg_kinds=arg_kinds, arg_names=e.arg_names.copy(), ) if ARG_STAR in arg_kinds or ARG_STAR2 in arg_kinds: # TODO treat this case appropriately return callable_ctx, None if callable_ctx.arg_kinds != arg_kinds: # Incompatible context; cannot use it to infer types. self.chk.fail(message_registry.CANNOT_INFER_LAMBDA_TYPE, e) return None, None # Type of lambda must have correct argument names, to prevent false # negatives when lambdas appear in `ParamSpec` context. return callable_ctx.copy_modified(arg_names=e.arg_names), callable_ctx def visit_super_expr(self, e: SuperExpr) -> Type: """Type check a super expression (non-lvalue).""" # We have an expression like super(T, var).member # First compute the types of T and var types = self._super_arg_types(e) if isinstance(types, tuple): type_type, instance_type = types else: return types # Now get the MRO type_info = type_info_from_type(type_type) if type_info is None: self.chk.fail(message_registry.UNSUPPORTED_ARG_1_FOR_SUPER, e) return AnyType(TypeOfAny.from_error) instance_info = type_info_from_type(instance_type) if instance_info is None: self.chk.fail(message_registry.UNSUPPORTED_ARG_2_FOR_SUPER, e) return AnyType(TypeOfAny.from_error) mro = instance_info.mro # The base is the first MRO entry *after* type_info that has a member # with the right name index = None if type_info in mro: index = mro.index(type_info) else: method = self.chk.scope.current_function() # Mypy explicitly allows supertype upper bounds (and no upper bound at all) # for annotating self-types. However, if such an annotation is used for # checking super() we will still get an error. So to be consistent, we also # allow such imprecise annotations for use with super(), where we fall back # to the current class MRO instead. This works only from inside a method. if method is not None and is_self_type_like( instance_type, is_classmethod=method.is_class ): if e.info and type_info in e.info.mro: mro = e.info.mro index = mro.index(type_info) if index is None: if ( instance_info.is_protocol and instance_info != type_info and not type_info.is_protocol ): # A special case for mixins, in this case super() should point # directly to the host protocol, this is not safe, since the real MRO # is not known yet for mixin, but this feature is more like an escape hatch. index = -1 else: self.chk.fail(message_registry.SUPER_ARG_2_NOT_INSTANCE_OF_ARG_1, e) return AnyType(TypeOfAny.from_error) if len(mro) == index + 1: self.chk.fail(message_registry.TARGET_CLASS_HAS_NO_BASE_CLASS, e) return AnyType(TypeOfAny.from_error) for base in mro[index + 1 :]: if e.name in base.names or base == mro[-1]: if e.info and e.info.fallback_to_any and base == mro[-1]: # There's an undefined base class, and we're at the end of the # chain. That's not an error. return AnyType(TypeOfAny.special_form) return analyze_member_access( name=e.name, typ=instance_type, is_lvalue=False, is_super=True, is_operator=False, original_type=instance_type, override_info=base, context=e, chk=self.chk, in_literal_context=self.is_literal_context(), ) assert False, "unreachable" def _super_arg_types(self, e: SuperExpr) -> Type | tuple[Type, Type]: """ Computes the types of the type and instance expressions in super(T, instance), or the implicit ones for zero-argument super() expressions. Returns a single type for the whole super expression when possible (for errors, anys), otherwise the pair of computed types. """ if not self.chk.in_checked_function(): return AnyType(TypeOfAny.unannotated) elif len(e.call.args) == 0: if not e.info: # This has already been reported by the semantic analyzer. return AnyType(TypeOfAny.from_error) elif self.chk.scope.active_class(): self.chk.fail(message_registry.SUPER_OUTSIDE_OF_METHOD_NOT_SUPPORTED, e) return AnyType(TypeOfAny.from_error) # Zero-argument super() is like super(, ) current_type = fill_typevars(e.info) type_type: ProperType = TypeType(current_type) # Use the type of the self argument, in case it was annotated method = self.chk.scope.current_function() assert method is not None if method.arguments: instance_type: Type = method.arguments[0].variable.type or current_type else: self.chk.fail(message_registry.SUPER_ENCLOSING_POSITIONAL_ARGS_REQUIRED, e) return AnyType(TypeOfAny.from_error) elif ARG_STAR in e.call.arg_kinds: self.chk.fail(message_registry.SUPER_VARARGS_NOT_SUPPORTED, e) return AnyType(TypeOfAny.from_error) elif set(e.call.arg_kinds) != {ARG_POS}: self.chk.fail(message_registry.SUPER_POSITIONAL_ARGS_REQUIRED, e) return AnyType(TypeOfAny.from_error) elif len(e.call.args) == 1: self.chk.fail(message_registry.SUPER_WITH_SINGLE_ARG_NOT_SUPPORTED, e) return AnyType(TypeOfAny.from_error) elif len(e.call.args) == 2: type_type = get_proper_type(self.accept(e.call.args[0])) instance_type = self.accept(e.call.args[1]) else: self.chk.fail(message_registry.TOO_MANY_ARGS_FOR_SUPER, e) return AnyType(TypeOfAny.from_error) # Imprecisely assume that the type is the current class if isinstance(type_type, AnyType): if e.info: type_type = TypeType(fill_typevars(e.info)) else: return AnyType(TypeOfAny.from_another_any, source_any=type_type) elif isinstance(type_type, TypeType): type_item = type_type.item if isinstance(type_item, AnyType): if e.info: type_type = TypeType(fill_typevars(e.info)) else: return AnyType(TypeOfAny.from_another_any, source_any=type_item) if not isinstance(type_type, TypeType) and not ( isinstance(type_type, FunctionLike) and type_type.is_type_obj() ): self.msg.first_argument_for_super_must_be_type(type_type, e) return AnyType(TypeOfAny.from_error) # Imprecisely assume that the instance is of the current class instance_type = get_proper_type(instance_type) if isinstance(instance_type, AnyType): if e.info: instance_type = fill_typevars(e.info) else: return AnyType(TypeOfAny.from_another_any, source_any=instance_type) elif isinstance(instance_type, TypeType): instance_item = instance_type.item if isinstance(instance_item, AnyType): if e.info: instance_type = TypeType(fill_typevars(e.info)) else: return AnyType(TypeOfAny.from_another_any, source_any=instance_item) return type_type, instance_type def visit_slice_expr(self, e: SliceExpr) -> Type: try: supports_index = self.chk.named_type("typing_extensions.SupportsIndex") except KeyError: supports_index = self.chk.named_type("builtins.int") # thanks, fixture life expected = make_optional_type(supports_index) type_args = [] for index in [e.begin_index, e.end_index, e.stride]: if index: t = self.accept(index) self.chk.check_subtype(t, expected, index, message_registry.INVALID_SLICE_INDEX) type_args.append(t) else: type_args.append(NoneType()) return self.chk.named_generic_type("builtins.slice", type_args) def visit_list_comprehension(self, e: ListComprehension) -> Type: return self.check_generator_or_comprehension( e.generator, "builtins.list", "" ) def visit_set_comprehension(self, e: SetComprehension) -> Type: return self.check_generator_or_comprehension( e.generator, "builtins.set", "" ) def visit_generator_expr(self, e: GeneratorExpr) -> Type: # If any of the comprehensions use async for, the expression will return an async generator # object, or await is used anywhere but in the leftmost sequence. if ( any(e.is_async) or has_await_expression(e.left_expr) or any(has_await_expression(sequence) for sequence in e.sequences[1:]) or any(has_await_expression(cond) for condlist in e.condlists for cond in condlist) ): typ = "typing.AsyncGenerator" # received type is always None in async generator expressions additional_args: list[Type] = [NoneType()] else: typ = "typing.Generator" # received type and returned type are None additional_args = [NoneType(), NoneType()] return self.check_generator_or_comprehension( e, typ, "", additional_args=additional_args ) def check_generator_or_comprehension( self, gen: GeneratorExpr, type_name: str, id_for_messages: str, additional_args: list[Type] | None = None, ) -> Type: """Type check a generator expression or a list comprehension.""" additional_args = additional_args or [] with self.chk.binder.frame_context(can_skip=True, fall_through=0): self.check_for_comp(gen) # Infer the type of the list comprehension by using a synthetic generic # callable type. tv = TypeVarType( "T", "T", id=TypeVarId(-1, namespace=""), values=[], upper_bound=self.object_type(), default=AnyType(TypeOfAny.from_omitted_generics), ) tv_list: list[Type] = [tv] constructor = CallableType( tv_list, [nodes.ARG_POS], [None], self.chk.named_generic_type(type_name, tv_list + additional_args), self.chk.named_type("builtins.function"), name=id_for_messages, variables=[tv], ) return self.check_call(constructor, [gen.left_expr], [nodes.ARG_POS], gen)[0] def visit_dictionary_comprehension(self, e: DictionaryComprehension) -> Type: """Type check a dictionary comprehension.""" with self.chk.binder.frame_context(can_skip=True, fall_through=0): self.check_for_comp(e) # Infer the type of the list comprehension by using a synthetic generic # callable type. ktdef = TypeVarType( "KT", "KT", id=TypeVarId(-1, namespace=""), values=[], upper_bound=self.object_type(), default=AnyType(TypeOfAny.from_omitted_generics), ) vtdef = TypeVarType( "VT", "VT", id=TypeVarId(-2, namespace=""), values=[], upper_bound=self.object_type(), default=AnyType(TypeOfAny.from_omitted_generics), ) constructor = CallableType( [ktdef, vtdef], [nodes.ARG_POS, nodes.ARG_POS], [None, None], self.chk.named_generic_type("builtins.dict", [ktdef, vtdef]), self.chk.named_type("builtins.function"), name="", variables=[ktdef, vtdef], ) return self.check_call( constructor, [e.key, e.value], [nodes.ARG_POS, nodes.ARG_POS], e )[0] def check_for_comp(self, e: GeneratorExpr | DictionaryComprehension) -> None: """Check the for_comp part of comprehensions. That is the part from 'for': ... for x in y if z Note: This adds the type information derived from the condlists to the current binder. """ for index, sequence, conditions, is_async in zip( e.indices, e.sequences, e.condlists, e.is_async ): if is_async: _, sequence_type = self.chk.analyze_async_iterable_item_type(sequence) else: _, sequence_type = self.chk.analyze_iterable_item_type(sequence) if ( isinstance(get_proper_type(sequence_type), UninhabitedType) and isinstance(index, NameExpr) and index.name == "_" ): # To preserve backward compatibility, avoid inferring Never for "_" sequence_type = AnyType(TypeOfAny.special_form) self.chk.analyze_index_variables(index, sequence_type, True, e) for condition in conditions: self.accept(condition) # values are only part of the comprehension when all conditions are true true_map, false_map = self.chk.find_isinstance_check(condition) if true_map: self.chk.push_type_map(true_map) if codes.REDUNDANT_EXPR in self.chk.options.enabled_error_codes: if true_map is None: self.msg.redundant_condition_in_comprehension(False, condition) elif false_map is None: self.msg.redundant_condition_in_comprehension(True, condition) def visit_conditional_expr(self, e: ConditionalExpr, allow_none_return: bool = False) -> Type: self.accept(e.cond) ctx = self.type_context[-1] # Gain type information from isinstance if it is there # but only for the current expression if_map, else_map = self.chk.find_isinstance_check(e.cond) if codes.REDUNDANT_EXPR in self.chk.options.enabled_error_codes: if if_map is None: self.msg.redundant_condition_in_if(False, e.cond) elif else_map is None: self.msg.redundant_condition_in_if(True, e.cond) if_type = self.analyze_cond_branch( if_map, e.if_expr, context=ctx, allow_none_return=allow_none_return ) # we want to keep the narrowest value of if_type for union'ing the branches # however, it would be silly to pass a literal as a type context. Pass the # underlying fallback type instead. if_type_fallback = simple_literal_type(get_proper_type(if_type)) or if_type # Analyze the right branch using full type context and store the type full_context_else_type = self.analyze_cond_branch( else_map, e.else_expr, context=ctx, allow_none_return=allow_none_return ) if not mypy.checker.is_valid_inferred_type(if_type, self.chk.options): # Analyze the right branch disregarding the left branch. else_type = full_context_else_type # we want to keep the narrowest value of else_type for union'ing the branches # however, it would be silly to pass a literal as a type context. Pass the # underlying fallback type instead. else_type_fallback = simple_literal_type(get_proper_type(else_type)) or else_type # If it would make a difference, re-analyze the left # branch using the right branch's type as context. if ctx is None or not is_equivalent(else_type_fallback, ctx): # TODO: If it's possible that the previous analysis of # the left branch produced errors that are avoided # using this context, suppress those errors. if_type = self.analyze_cond_branch( if_map, e.if_expr, context=else_type_fallback, allow_none_return=allow_none_return, ) elif if_type_fallback == ctx: # There is no point re-running the analysis if if_type is equal to ctx. # That would be an exact duplicate of the work we just did. # This optimization is particularly important to avoid exponential blowup with nested # if/else expressions: https://github.com/python/mypy/issues/9591 # TODO: would checking for is_proper_subtype also work and cover more cases? else_type = full_context_else_type else: # Analyze the right branch in the context of the left # branch's type. else_type = self.analyze_cond_branch( else_map, e.else_expr, context=if_type_fallback, allow_none_return=allow_none_return, ) # In most cases using if_type as a context for right branch gives better inferred types. # This is however not the case for literal types, so use the full context instead. if is_literal_type_like(full_context_else_type) and not is_literal_type_like(else_type): else_type = full_context_else_type res: Type = make_simplified_union([if_type, else_type]) if has_uninhabited_component(res) and not isinstance( get_proper_type(self.type_context[-1]), UnionType ): # In rare cases with empty collections join may give a better result. alternative = join.join_types(if_type, else_type) p_alt = get_proper_type(alternative) if not isinstance(p_alt, Instance) or p_alt.type.fullname != "builtins.object": res = alternative return res def analyze_cond_branch( self, map: dict[Expression, Type] | None, node: Expression, context: Type | None, allow_none_return: bool = False, suppress_unreachable_errors: bool = True, ) -> Type: with self.chk.binder.frame_context(can_skip=True, fall_through=0): if map is None: # We still need to type check node, in case we want to # process it for isinstance checks later. Since the branch was # determined to be unreachable, any errors should be suppressed. with self.msg.filter_errors(filter_errors=suppress_unreachable_errors): self.accept(node, type_context=context, allow_none_return=allow_none_return) return UninhabitedType() self.chk.push_type_map(map) return self.accept(node, type_context=context, allow_none_return=allow_none_return) def _combined_context(self, ty: Type | None) -> Type | None: ctx_items = [] if ty is not None: if has_any_type(ty): # HACK: Any should be contagious, `dict[str, Any] or ` should still # infer Any in x. return ty ctx_items.append(ty) if self.type_context and self.type_context[-1] is not None: ctx_items.append(self.type_context[-1]) if ctx_items: return make_simplified_union(ctx_items) return None # # Helpers # def accept( self, node: Expression, type_context: Type | None = None, allow_none_return: bool = False, always_allow_any: bool = False, is_callee: bool = False, ) -> Type: """Type check a node in the given type context. If allow_none_return is True and this expression is a call, allow it to return None. This applies only to this expression and not any subexpressions. """ if node in self.type_overrides: # This branch is very fast, there is no point timing it. return self.type_overrides[node] # We don't use context manager here to get most precise data (and avoid overhead). record_time = False if self.collect_line_checking_stats and not self.in_expression: t0 = time.perf_counter_ns() self.in_expression = True record_time = True self.type_context.append(type_context) old_is_callee = self.is_callee self.is_callee = is_callee try: p_type_context = get_proper_type(type_context) if allow_none_return and isinstance(node, CallExpr): typ = self.visit_call_expr(node, allow_none_return=True) elif allow_none_return and isinstance(node, YieldFromExpr): typ = self.visit_yield_from_expr(node, allow_none_return=True) elif allow_none_return and isinstance(node, ConditionalExpr): typ = self.visit_conditional_expr(node, allow_none_return=True) elif allow_none_return and isinstance(node, AwaitExpr): typ = self.visit_await_expr(node, allow_none_return=True) elif ( isinstance(p_type_context, TypeType) and p_type_context.is_type_form and (node_as_type := self.try_parse_as_type_expression(node)) is not None ): typ = TypeType.make_normalized( node_as_type, line=node_as_type.line, column=node_as_type.column, is_type_form=True, ) # r-value type, when interpreted as a type expression elif ( isinstance(p_type_context, UnionType) and any( isinstance(p_item := get_proper_type(item), TypeType) and p_item.is_type_form for item in p_type_context.items ) and (node_as_type := self.try_parse_as_type_expression(node)) is not None ): typ1 = TypeType.make_normalized( node_as_type, line=node_as_type.line, column=node_as_type.column, is_type_form=True, ) if is_subtype(typ1, p_type_context): typ = typ1 # r-value type, when interpreted as a type expression else: typ2 = node.accept(self) typ = typ2 # r-value type, when interpreted as a value expression # Deeply nested generic calls can deteriorate performance dramatically. # Although in most cases caching makes little difference, in worst case # it avoids exponential complexity. # We cannot use cache inside lambdas, because they skip immediate type # context, and use enclosing one, see infer_lambda_type_using_context(). # TODO: consider using cache for more expression kinds. elif ( isinstance(node, (CallExpr, ListExpr, TupleExpr, DictExpr, OpExpr)) and not (self.in_lambda_expr or self.chk.current_node_deferred) and not self.chk.options.disable_expression_cache ): if (node, type_context) in self.expr_cache: binder_version, typ, messages, type_map = self.expr_cache[(node, type_context)] if binder_version == self.chk.binder.version: self.chk.store_types(type_map) self.msg.add_errors(messages) else: typ = self.accept_maybe_cache(node, type_context=type_context) else: typ = self.accept_maybe_cache(node, type_context=type_context) else: typ = node.accept(self) # r-value type, when interpreted as a value expression except Exception as err: report_internal_error( err, self.chk.errors.file, node.line, self.chk.errors, self.chk.options ) self.is_callee = old_is_callee self.type_context.pop() assert typ is not None self.chk.store_type(node, typ) if ( self.chk.options.disallow_any_expr and not always_allow_any and not self.chk.is_stub and self.chk.in_checked_function() and has_any_type(typ) and not self.chk.current_node_deferred ): self.msg.disallowed_any_type(typ, node) if not self.chk.in_checked_function() or self.chk.current_node_deferred: result: Type = AnyType(TypeOfAny.unannotated) else: result = typ if record_time: self.per_line_checking_time_ns[node.line] += time.perf_counter_ns() - t0 self.in_expression = False return result def accept_maybe_cache(self, node: Expression, type_context: Type | None = None) -> Type: binder_version = self.chk.binder.version with self.msg.filter_errors(filter_errors=True, save_filtered_errors=True) as msg: with self.chk.local_type_map as type_map: typ = node.accept(self) messages = msg.filtered_errors() if binder_version == self.chk.binder.version and not self.chk.current_node_deferred: self.expr_cache[(node, type_context)] = (binder_version, typ, messages, type_map) self.chk.store_types(type_map) self.msg.add_errors(messages) return typ def named_type(self, name: str) -> Instance: """Return an instance type with type given by the name and no type arguments. Alias for TypeChecker.named_type. """ return self.chk.named_type(name) def type_alias_type_type(self) -> Instance: """Returns a `typing.TypeAliasType` or `typing_extensions.TypeAliasType`.""" if self.chk.options.python_version >= (3, 12): return self.named_type("typing.TypeAliasType") return self.named_type("typing_extensions.TypeAliasType") def is_valid_var_arg(self, typ: Type) -> bool: """Is a type valid as a *args argument?""" typ = get_proper_type(typ) return isinstance(typ, (TupleType, AnyType, ParamSpecType, UnpackType)) or is_subtype( typ, self.chk.named_generic_type("typing.Iterable", [AnyType(TypeOfAny.special_form)]) ) def is_valid_keyword_var_arg(self, typ: Type) -> bool: """Is a type valid as a **kwargs argument?""" return ( is_subtype( typ, self.chk.named_generic_type( "_typeshed.SupportsKeysAndGetItem", [self.named_type("builtins.str"), AnyType(TypeOfAny.special_form)], ), ) or is_subtype( typ, self.chk.named_generic_type( "_typeshed.SupportsKeysAndGetItem", [UninhabitedType(), UninhabitedType()] ), ) or isinstance(typ, ParamSpecType) ) def not_ready_callback(self, name: str, context: Context) -> None: """Called when we can't infer the type of a variable because it's not ready yet. Either defer type checking of the enclosing function to the next pass or report an error. """ self.chk.handle_cannot_determine_type(name, context) def visit_yield_expr(self, e: YieldExpr) -> Type: return_type = self.chk.return_types[-1] expected_item_type = self.chk.get_generator_yield_type(return_type, False) if e.expr is None: if ( not isinstance(get_proper_type(expected_item_type), (NoneType, AnyType)) and self.chk.in_checked_function() ): self.chk.fail(message_registry.YIELD_VALUE_EXPECTED, e) else: actual_item_type = self.accept(e.expr, expected_item_type) self.chk.check_subtype( actual_item_type, expected_item_type, e, message_registry.INCOMPATIBLE_TYPES_IN_YIELD, "actual type", "expected type", ) return self.chk.get_generator_receive_type(return_type, False) def visit_await_expr(self, e: AwaitExpr, allow_none_return: bool = False) -> Type: expected_type = self.type_context[-1] if expected_type is not None: expected_type = self.chk.named_generic_type("typing.Awaitable", [expected_type]) actual_type = get_proper_type(self.accept(e.expr, expected_type)) if isinstance(actual_type, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=actual_type) ret = self.check_awaitable_expr( actual_type, e, message_registry.INCOMPATIBLE_TYPES_IN_AWAIT ) if not allow_none_return and isinstance(get_proper_type(ret), NoneType): self.chk.msg.does_not_return_value(None, e) return ret def check_awaitable_expr( self, t: Type, ctx: Context, msg: str | ErrorMessage, ignore_binder: bool = False ) -> Type: """Check the argument to `await` and extract the type of value. Also used by `async for` and `async with`. """ if not self.chk.check_subtype( t, self.named_type("typing.Awaitable"), ctx, msg, "actual type", "expected type" ): return AnyType(TypeOfAny.special_form) else: generator = self.check_method_call_by_name("__await__", t, [], [], ctx)[0] ret_type = self.chk.get_generator_return_type(generator, False) ret_type = get_proper_type(ret_type) if ( not ignore_binder and isinstance(ret_type, UninhabitedType) and not ret_type.ambiguous ): self.chk.binder.unreachable() return ret_type def visit_yield_from_expr(self, e: YieldFromExpr, allow_none_return: bool = False) -> Type: # NOTE: Whether `yield from` accepts an `async def` decorated # with `@types.coroutine` (or `@asyncio.coroutine`) depends on # whether the generator containing the `yield from` is itself # thus decorated. But it accepts a generator regardless of # how it's decorated. return_type = self.chk.return_types[-1] # TODO: What should the context for the sub-expression be? # If the containing function has type Generator[X, Y, ...], # the context should be Generator[X, Y, T], where T is the # context of the 'yield from' itself (but it isn't known). subexpr_type = get_proper_type(self.accept(e.expr)) # Check that the expr is an instance of Iterable and get the type of the iterator produced # by __iter__. if isinstance(subexpr_type, AnyType): iter_type: Type = AnyType(TypeOfAny.from_another_any, source_any=subexpr_type) elif self.chk.type_is_iterable(subexpr_type): if is_async_def(subexpr_type) and not has_coroutine_decorator(return_type): self.chk.msg.yield_from_invalid_operand_type(subexpr_type, e) any_type = AnyType(TypeOfAny.special_form) generic_generator_type = self.chk.named_generic_type( "typing.Generator", [any_type, any_type, any_type] ) generic_generator_type.set_line(e) iter_type, _ = self.check_method_call_by_name( "__iter__", subexpr_type, [], [], context=generic_generator_type ) else: if not (is_async_def(subexpr_type) and has_coroutine_decorator(return_type)): self.chk.msg.yield_from_invalid_operand_type(subexpr_type, e) iter_type = AnyType(TypeOfAny.from_error) else: iter_type = self.check_awaitable_expr( subexpr_type, e, message_registry.INCOMPATIBLE_TYPES_IN_YIELD_FROM ) # Check that the iterator's item type matches the type yielded by the Generator function # containing this `yield from` expression. expected_item_type = self.chk.get_generator_yield_type(return_type, False) actual_item_type = self.chk.get_generator_yield_type(iter_type, False) self.chk.check_subtype( actual_item_type, expected_item_type, e, message_registry.INCOMPATIBLE_TYPES_IN_YIELD_FROM, "actual type", "expected type", ) # Determine the type of the entire yield from expression. iter_type = get_proper_type(iter_type) expr_type = self.chk.get_generator_return_type(iter_type, is_coroutine=False) if not allow_none_return and isinstance(get_proper_type(expr_type), NoneType): self.chk.msg.does_not_return_value(None, e) return expr_type def visit_temp_node(self, e: TempNode) -> Type: return e.type def visit_type_var_expr(self, e: TypeVarExpr) -> Type: p_default = get_proper_type(e.default) if not ( isinstance(p_default, AnyType) and p_default.type_of_any == TypeOfAny.from_omitted_generics ): if not is_subtype(p_default, e.upper_bound): self.chk.fail("TypeVar default must be a subtype of the bound type", e) if e.values and not any(is_same_type(p_default, value) for value in e.values): self.chk.fail("TypeVar default must be one of the constraint types", e) return AnyType(TypeOfAny.special_form) def visit_paramspec_expr(self, e: ParamSpecExpr) -> Type: return AnyType(TypeOfAny.special_form) def visit_type_var_tuple_expr(self, e: TypeVarTupleExpr) -> Type: return AnyType(TypeOfAny.special_form) def visit_newtype_expr(self, e: NewTypeExpr) -> Type: return AnyType(TypeOfAny.special_form) def visit_namedtuple_expr(self, e: NamedTupleExpr) -> Type: tuple_type = e.info.tuple_type if tuple_type: if self.chk.options.disallow_any_unimported and has_any_from_unimported_type( tuple_type ): self.msg.unimported_type_becomes_any("NamedTuple type", tuple_type, e) check_for_explicit_any( tuple_type, self.chk.options, self.chk.is_typeshed_stub, self.msg, context=e ) return AnyType(TypeOfAny.special_form) def visit_enum_call_expr(self, e: EnumCallExpr) -> Type: for name, value in zip(e.items, e.values): if value is not None: typ = self.accept(value) if not isinstance(get_proper_type(typ), AnyType): var = e.info.names[name].node if isinstance(var, Var): # Inline TypeChecker.set_inferred_type(), # without the lvalue. (This doesn't really do # much, since the value attribute is defined # to have type Any in the typeshed stub.) var.type = typ var.is_inferred = True return AnyType(TypeOfAny.special_form) def visit_typeddict_expr(self, e: TypedDictExpr) -> Type: return AnyType(TypeOfAny.special_form) def visit__promote_expr(self, e: PromoteExpr) -> Type: return e.type def visit_star_expr(self, e: StarExpr) -> Type: # TODO: should this ever be called (see e.g. mypyc visitor)? return self.accept(e.expr) def object_type(self) -> Instance: """Return instance type 'object'.""" return self.named_type("builtins.object") def bool_type(self) -> Instance: """Return instance type 'bool'.""" return self.named_type("builtins.bool") @overload def narrow_type_from_binder(self, expr: Expression, known_type: Type) -> Type: ... @overload def narrow_type_from_binder( self, expr: Expression, known_type: Type, skip_non_overlapping: bool ) -> Type | None: ... def narrow_type_from_binder( self, expr: Expression, known_type: Type, skip_non_overlapping: bool = False ) -> Type | None: """Narrow down a known type of expression using information in conditional type binder. If 'skip_non_overlapping' is True, return None if the type and restriction are non-overlapping. """ if literal(expr) >= LITERAL_TYPE: restriction = self.chk.binder.get(expr) # If the current node is deferred, some variables may get Any types that they # otherwise wouldn't have. We don't want to narrow down these since it may # produce invalid inferred Optional[Any] types, at least. if restriction and not ( isinstance(get_proper_type(known_type), AnyType) and self.chk.current_node_deferred ): # Note: this call should match the one in narrow_declared_type(). if skip_non_overlapping and not is_overlapping_types( known_type, restriction, prohibit_none_typevar_overlap=True ): return None narrowed = narrow_declared_type(known_type, restriction) if isinstance(get_proper_type(narrowed), UninhabitedType): # If we hit this case, it means that we can't reliably mark the code as # unreachable, but the resulting type can't be expressed in type system. # Falling back to restriction is more intuitive in most cases. return restriction return narrowed return known_type def has_abstract_type_part(self, caller_type: ProperType, callee_type: ProperType) -> bool: # TODO: support other possible types here if isinstance(caller_type, TupleType) and isinstance(callee_type, TupleType): return any( self.has_abstract_type(get_proper_type(caller), get_proper_type(callee)) for caller, callee in zip(caller_type.items, callee_type.items) ) return self.has_abstract_type(caller_type, callee_type) def has_abstract_type(self, caller_type: ProperType, callee_type: ProperType) -> bool: return ( isinstance(caller_type, FunctionLike) and isinstance(callee_type, TypeType) and caller_type.is_type_obj() and (caller_type.type_object().is_abstract or caller_type.type_object().is_protocol) and isinstance(callee_type.item, Instance) and (callee_type.item.type.is_abstract or callee_type.item.type.is_protocol) and not self.chk.allow_abstract_call ) def try_parse_as_type_expression(self, maybe_type_expr: Expression) -> Type | None: """Try to parse a value Expression as a type expression. If success then return the type that it spells. If fails then return None. A value expression that is parsable as a type expression may be used where a TypeForm is expected to represent the spelled type. Unlike SemanticAnalyzer.try_parse_as_type_expression() (used in the earlier SemanticAnalyzer pass), this function can only recognize type expressions which contain no string annotations.""" if not isinstance(maybe_type_expr, MaybeTypeExpression): return None # Check whether has already been parsed as a type expression # by SemanticAnalyzer.try_parse_as_type_expression(), # perhaps containing a string annotation if ( isinstance(maybe_type_expr, (StrExpr, IndexExpr, OpExpr)) and maybe_type_expr.as_type != NotParsed.VALUE ): return maybe_type_expr.as_type # If is potentially a type expression containing a string annotation, # don't try to parse it because there isn't enough information # available to the TypeChecker pass to resolve string annotations if has_str_expression(maybe_type_expr): self.chk.fail( "TypeForm containing a string annotation cannot be recognized here. " "Surround with TypeForm(...) to recognize.", maybe_type_expr, code=codes.MAYBE_UNRECOGNIZED_STR_TYPEFORM, ) return None # Collect symbols targeted by NameExprs and MemberExprs, # to be looked up by TypeAnalyser when binding the # UnboundTypes corresponding to those expressions. (name_exprs, member_exprs) = all_name_and_member_expressions(maybe_type_expr) sym_for_name = {e.name: SymbolTableNode(UNBOUND_IMPORTED, e.node) for e in name_exprs} | { e_name: SymbolTableNode(UNBOUND_IMPORTED, e.node) for e in member_exprs if (e_name := get_member_expr_fullname(e)) is not None } chk_sem = mypy.checker.TypeCheckerAsSemanticAnalyzer(self.chk, sym_for_name) tpan = TypeAnalyser( chk_sem, # NOTE: Will never need to lookup type vars in this scope because # SemanticAnalyzer.try_parse_as_type_expression() will have # already recognized any type var referenced in a NameExpr. # String annotations (which may also reference type vars) # can't be resolved in the TypeChecker pass anyway. TypeVarLikeScope(), # empty scope self.plugin, self.chk.options, self.chk.tree, self.chk.is_typeshed_stub, ) try: typ1 = expr_to_unanalyzed_type( maybe_type_expr, self.chk.options, self.chk.is_typeshed_stub ) typ2 = typ1.accept(tpan) if chk_sem.did_fail: return None return typ2 except TypeTranslationError: return None def has_any_type(t: Type, ignore_in_type_obj: bool = False) -> bool: """Whether t contains an Any type""" return t.accept(HasAnyType(ignore_in_type_obj)) class HasAnyType(types.BoolTypeQuery): def __init__(self, ignore_in_type_obj: bool) -> None: super().__init__(types.ANY_STRATEGY) self.ignore_in_type_obj = ignore_in_type_obj def visit_any(self, t: AnyType) -> bool: return t.type_of_any != TypeOfAny.special_form # special forms are not real Any types def visit_callable_type(self, t: CallableType) -> bool: if self.ignore_in_type_obj and t.is_type_obj(): return False return super().visit_callable_type(t) def visit_type_var(self, t: TypeVarType) -> bool: default = [t.default] if t.has_default() else [] return self.query_types([t.upper_bound, *default] + t.values) def visit_param_spec(self, t: ParamSpecType) -> bool: default = [t.default] if t.has_default() else [] return self.query_types([t.upper_bound, *default, t.prefix]) def visit_type_var_tuple(self, t: TypeVarTupleType) -> bool: default = [t.default] if t.has_default() else [] return self.query_types([t.upper_bound, *default]) def has_coroutine_decorator(t: Type) -> bool: """Whether t came from a function decorated with `@coroutine`.""" t = get_proper_type(t) return isinstance(t, Instance) and t.type.fullname == "typing.AwaitableGenerator" def is_async_def(t: Type) -> bool: """Whether t came from a function defined using `async def`.""" # In check_func_def(), when we see a function decorated with # `@typing.coroutine` or `@async.coroutine`, we change the # return type to typing.AwaitableGenerator[...], so that its # type is compatible with either Generator or Awaitable. # But for the check here we need to know whether the original # function (before decoration) was an `async def`. The # AwaitableGenerator type conveniently preserves the original # type as its 4th parameter (3rd when using 0-origin indexing # :-), so that we can recover that information here. # (We really need to see whether the original, undecorated # function was an `async def`, which is orthogonal to its # decorations.) t = get_proper_type(t) if ( isinstance(t, Instance) and t.type.fullname == "typing.AwaitableGenerator" and len(t.args) >= 4 ): t = get_proper_type(t.args[3]) return isinstance(t, Instance) and t.type.fullname == "typing.Coroutine" def is_non_empty_tuple(t: Type) -> bool: t = get_proper_type(t) return isinstance(t, TupleType) and bool(t.items) def is_duplicate_mapping( mapping: list[int], actual_types: list[Type], actual_kinds: list[ArgKind] ) -> bool: return ( len(mapping) > 1 # Multiple actuals can map to the same formal if they both come from # varargs (*args and **kwargs); in this case at runtime it is possible # that here are no duplicates. We need to allow this, as the convention # f(..., *args, **kwargs) is common enough. and not ( len(mapping) == 2 and actual_kinds[mapping[0]] == nodes.ARG_STAR and actual_kinds[mapping[1]] == nodes.ARG_STAR2 ) # Multiple actuals can map to the same formal if there are multiple # **kwargs which cannot be mapped with certainty (non-TypedDict # **kwargs). and not all( actual_kinds[m] == nodes.ARG_STAR2 and not isinstance(get_proper_type(actual_types[m]), TypedDictType) for m in mapping ) ) def replace_callable_return_type(c: CallableType, new_ret_type: Type) -> CallableType: """Return a copy of a callable type with a different return type.""" return c.copy_modified(ret_type=new_ret_type) class ArgInferSecondPassQuery(types.BoolTypeQuery): """Query whether an argument type should be inferred in the second pass. The result is True if the type has a type variable in a callable return type anywhere. For example, the result for Callable[[], T] is True if t is a type variable. """ def __init__(self) -> None: super().__init__(types.ANY_STRATEGY) def visit_callable_type(self, t: CallableType) -> bool: # TODO: we need to check only for type variables of original callable. return self.query_types(t.arg_types) or has_type_vars(t) def has_erased_component(t: Type | None) -> bool: return t is not None and t.accept(HasErasedComponentsQuery()) class HasErasedComponentsQuery(types.BoolTypeQuery): """Visitor for querying whether a type has an erased component.""" def __init__(self) -> None: super().__init__(types.ANY_STRATEGY) def visit_erased_type(self, t: ErasedType) -> bool: return True def has_uninhabited_component(t: Type | None) -> bool: return t is not None and t.accept(HasUninhabitedComponentsQuery()) class HasUninhabitedComponentsQuery(types.BoolTypeQuery): """Visitor for querying whether a type has an UninhabitedType component.""" def __init__(self) -> None: super().__init__(types.ANY_STRATEGY) def visit_uninhabited_type(self, t: UninhabitedType) -> bool: return True def arg_approximate_similarity(actual: Type, formal: Type) -> bool: """Return if caller argument (actual) is roughly compatible with signature arg (formal). This function is deliberately loose and will report two types are similar as long as their "shapes" are plausibly the same. This is useful when we're doing error reporting: for example, if we're trying to select an overload alternative and there's no exact match, we can use this function to help us identify which alternative the user might have *meant* to match. """ actual = get_proper_type(actual) formal = get_proper_type(formal) # Erase typevars: we'll consider them all to have the same "shape". if isinstance(actual, TypeVarType): actual = erase_to_union_or_bound(actual) if isinstance(formal, TypeVarType): formal = erase_to_union_or_bound(formal) # Callable or Type[...]-ish types def is_typetype_like(typ: ProperType) -> bool: return ( isinstance(typ, TypeType) or (isinstance(typ, FunctionLike) and typ.is_type_obj()) or (isinstance(typ, Instance) and typ.type.fullname == "builtins.type") ) if isinstance(formal, CallableType): if isinstance(actual, (CallableType, Overloaded, TypeType)): return True if is_typetype_like(actual) and is_typetype_like(formal): return True # Unions if isinstance(actual, UnionType): return any(arg_approximate_similarity(item, formal) for item in actual.relevant_items()) if isinstance(formal, UnionType): return any(arg_approximate_similarity(actual, item) for item in formal.relevant_items()) # TypedDicts if isinstance(actual, TypedDictType): if isinstance(formal, TypedDictType): return True return arg_approximate_similarity(actual.fallback, formal) # Instances # For instances, we mostly defer to the existing is_subtype check. if isinstance(formal, Instance): if isinstance(actual, CallableType): actual = actual.fallback if isinstance(actual, Overloaded): actual = actual.items[0].fallback if isinstance(actual, TupleType): actual = tuple_fallback(actual) if isinstance(actual, Instance) and formal.type in actual.type.mro: # Try performing a quick check as an optimization return True # Fall back to a standard subtype check for the remaining kinds of type. return is_subtype(erasetype.erase_type(actual), erasetype.erase_type(formal)) def any_causes_overload_ambiguity( items: list[CallableType], return_types: list[Type], arg_types: list[Type], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, ) -> bool: """May an argument containing 'Any' cause ambiguous result type on call to overloaded function? Note that this sometimes returns True even if there is no ambiguity, since a correct implementation would be complex (and the call would be imprecisely typed due to Any types anyway). Args: items: Overload items matching the actual arguments arg_types: Actual argument types arg_kinds: Actual argument kinds arg_names: Actual argument names """ if all_same_types(return_types): return False actual_to_formal = [ map_formals_to_actuals( arg_kinds, arg_names, item.arg_kinds, item.arg_names, lambda i: arg_types[i] ) for item in items ] for arg_idx, arg_type in enumerate(arg_types): # We ignore Anys in type object callables as ambiguity # creators, since that can lead to falsely claiming ambiguity # for overloads between Type and Callable. if has_any_type(arg_type, ignore_in_type_obj=True): matching_formals_unfiltered = [ (item_idx, lookup[arg_idx]) for item_idx, lookup in enumerate(actual_to_formal) if lookup[arg_idx] ] matching_returns = [] matching_formals = [] for item_idx, formals in matching_formals_unfiltered: matched_callable = items[item_idx] matching_returns.append(matched_callable.ret_type) # Note: if an actual maps to multiple formals of differing types within # a single callable, then we know at least one of those formals must be # a different type then the formal(s) in some other callable. # So it's safe to just append everything to the same list. for formal in formals: matching_formals.append(matched_callable.arg_types[formal]) if not all_same_types(matching_formals) and not all_same_types(matching_returns): # Any maps to multiple different types, and the return types of these items differ. return True return False def all_same_types(types: list[Type]) -> bool: if not types: return True return all(is_same_type(t, types[0]) for t in types[1:]) def merge_typevars_in_callables_by_name( callables: Sequence[CallableType], ) -> tuple[list[CallableType], list[TypeVarType]]: """Takes all the typevars present in the callables and 'combines' the ones with the same name. For example, suppose we have two callables with signatures "f(x: T, y: S) -> T" and "f(x: List[Tuple[T, S]]) -> Tuple[T, S]". Both callables use typevars named "T" and "S", but we treat them as distinct, unrelated typevars. (E.g. they could both have distinct ids.) If we pass in both callables into this function, it returns a list containing two new callables that are identical in signature, but use the same underlying TypeVarType for T and S. This is useful if we want to take the output lists and "merge" them into one callable in some way -- for example, when unioning together overloads. Returns both the new list of callables and a list of all distinct TypeVarType objects used. """ output: list[CallableType] = [] unique_typevars: dict[str, TypeVarType] = {} variables: list[TypeVarType] = [] for target in callables: if target.is_generic(): target = freshen_function_type_vars(target) rename = {} # Dict[TypeVarId, TypeVar] for tv in target.variables: name = tv.fullname if name not in unique_typevars: # TODO: support ParamSpecType and TypeVarTuple. if isinstance(tv, (ParamSpecType, TypeVarTupleType)): continue assert isinstance(tv, TypeVarType) unique_typevars[name] = tv variables.append(tv) rename[tv.id] = unique_typevars[name] target = expand_type(target, rename) output.append(target) return output, variables def try_getting_literal(typ: Type) -> ProperType: """If possible, get a more precise literal type for a given type.""" typ = get_proper_type(typ) if isinstance(typ, Instance) and typ.last_known_value is not None: return typ.last_known_value return typ def is_expr_literal_type(node: Expression) -> bool: """Returns 'true' if the given node is a Literal""" if isinstance(node, IndexExpr): base = node.base return isinstance(base, RefExpr) and base.fullname in LITERAL_TYPE_NAMES if isinstance(node, NameExpr): underlying = node.node return isinstance(underlying, TypeAlias) and isinstance( get_proper_type(underlying.target), LiteralType ) return False def has_bytes_component(typ: Type) -> bool: """Is this one of builtin byte types, or a union that contains it?""" typ = get_proper_type(typ) byte_types = {"builtins.bytes", "builtins.bytearray"} if isinstance(typ, UnionType): return any(has_bytes_component(t) for t in typ.items) if isinstance(typ, Instance) and typ.type.fullname in byte_types: return True return False def type_info_from_type(typ: Type) -> TypeInfo | None: """Gets the TypeInfo for a type, indirecting through things like type variables and tuples.""" typ = get_proper_type(typ) if isinstance(typ, FunctionLike) and typ.is_type_obj(): return typ.type_object() if isinstance(typ, TypeType): typ = typ.item if isinstance(typ, TypeVarType): typ = get_proper_type(typ.upper_bound) if isinstance(typ, TupleType): typ = tuple_fallback(typ) if isinstance(typ, Instance): return typ.type # A complicated type. Too tricky, give up. # TODO: Do something more clever here. return None def is_operator_method(fullname: str | None) -> bool: if not fullname: return False short_name = fullname.split(".")[-1] return ( short_name in operators.op_methods.values() or short_name in operators.reverse_op_methods.values() or short_name in operators.unary_op_methods.values() ) def get_partial_instance_type(t: Type | None) -> PartialType | None: if t is None or not isinstance(t, PartialType) or t.type is None: return None return t def is_type_type_context(context: Type | None) -> bool: context = get_proper_type(context) if isinstance(context, TypeType): return True if isinstance(context, UnionType): return any(is_type_type_context(item) for item in context.items) return False ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/checkmember.py0000644000175100017510000017466715112307767016121 0ustar00runnerrunner"""Type checking of attribute access""" from __future__ import annotations from collections.abc import Sequence from typing import Callable, TypeVar, cast from mypy import message_registry, state from mypy.checker_shared import TypeCheckerSharedApi from mypy.erasetype import erase_typevars from mypy.expandtype import ( expand_self_type, expand_type_by_instance, freshen_all_functions_type_vars, ) from mypy.maptype import map_instance_to_supertype from mypy.meet import is_overlapping_types from mypy.messages import MessageBuilder from mypy.nodes import ( ARG_POS, ARG_STAR, ARG_STAR2, EXCLUDED_ENUM_ATTRIBUTES, SYMBOL_FUNCBASE_TYPES, Context, Decorator, Expression, FuncBase, FuncDef, IndexExpr, MypyFile, NameExpr, OverloadedFuncDef, SymbolTable, TempNode, TypeAlias, TypeInfo, TypeVarLikeExpr, Var, is_final_node, ) from mypy.plugin import AttributeContext from mypy.subtypes import is_subtype from mypy.typeops import ( bind_self, erase_to_bound, freeze_all_type_vars, function_type, get_all_type_vars, make_simplified_union, supported_self_type, tuple_fallback, ) from mypy.types import ( AnyType, CallableType, DeletedType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, ParamSpecType, PartialType, ProperType, TupleType, Type, TypedDictType, TypeOfAny, TypeType, TypeVarLikeType, TypeVarTupleType, TypeVarType, UninhabitedType, UnionType, get_proper_type, ) class MemberContext: """Information and objects needed to type check attribute access. Look at the docstring of analyze_member_access for more information. """ def __init__( self, *, is_lvalue: bool, is_super: bool, is_operator: bool, original_type: Type, context: Context, chk: TypeCheckerSharedApi, self_type: Type | None = None, module_symbol_table: SymbolTable | None = None, no_deferral: bool = False, is_self: bool = False, rvalue: Expression | None = None, suppress_errors: bool = False, preserve_type_var_ids: bool = False, ) -> None: self.is_lvalue = is_lvalue self.is_super = is_super self.is_operator = is_operator self.original_type = original_type self.self_type = self_type or original_type self.context = context # Error context self.chk = chk self.msg = chk.msg self.module_symbol_table = module_symbol_table self.no_deferral = no_deferral self.is_self = is_self if rvalue is not None: assert is_lvalue self.rvalue = rvalue self.suppress_errors = suppress_errors # This attribute is only used to preserve old protocol member access logic. # It is needed to avoid infinite recursion in cases involving self-referential # generic methods, see find_member() for details. Do not use for other purposes! self.preserve_type_var_ids = preserve_type_var_ids def named_type(self, name: str) -> Instance: return self.chk.named_type(name) def not_ready_callback(self, name: str, context: Context) -> None: self.chk.handle_cannot_determine_type(name, context) def fail(self, msg: str) -> None: if not self.suppress_errors: self.msg.fail(msg, self.context) def copy_modified( self, *, self_type: Type | None = None, is_lvalue: bool | None = None, original_type: Type | None = None, ) -> MemberContext: mx = MemberContext( is_lvalue=self.is_lvalue, is_super=self.is_super, is_operator=self.is_operator, original_type=self.original_type, context=self.context, chk=self.chk, self_type=self.self_type, module_symbol_table=self.module_symbol_table, no_deferral=self.no_deferral, rvalue=self.rvalue, suppress_errors=self.suppress_errors, preserve_type_var_ids=self.preserve_type_var_ids, ) if self_type is not None: mx.self_type = self_type if is_lvalue is not None: mx.is_lvalue = is_lvalue if original_type is not None: mx.original_type = original_type return mx def analyze_member_access( name: str, typ: Type, context: Context, *, is_lvalue: bool, is_super: bool, is_operator: bool, original_type: Type, chk: TypeCheckerSharedApi, override_info: TypeInfo | None = None, in_literal_context: bool = False, self_type: Type | None = None, module_symbol_table: SymbolTable | None = None, no_deferral: bool = False, is_self: bool = False, rvalue: Expression | None = None, suppress_errors: bool = False, ) -> Type: """Return the type of attribute 'name' of 'typ'. The actual implementation is in '_analyze_member_access' and this docstring also applies to it. This is a general operation that supports various different variations: 1. lvalue or non-lvalue access (setter or getter access) 2. supertype access when using super() (is_super == True and 'override_info' should refer to the supertype) 'original_type' is the most precise inferred or declared type of the base object that we have available. When looking for an attribute of 'typ', we may perform recursive calls targeting the fallback type, and 'typ' may become some supertype of 'original_type'. 'original_type' is always preserved as the 'typ' type used in the initial, non-recursive call. The 'self_type' is a component of 'original_type' to which generic self should be bound (a narrower type that has a fallback to instance). Currently, this is used only for union types. 'module_symbol_table' is passed to this function if 'typ' is actually a module, and we want to keep track of the available attributes of the module (since they are not available via the type object directly) 'rvalue' can be provided optionally to infer better setter type when is_lvalue is True, most notably this helps for descriptors with overloaded __set__() method. 'suppress_errors' will skip any logic that is only needed to generate error messages. Note that this more of a performance optimization, one should not rely on this to not show any messages, as some may be show e.g. by callbacks called here, use msg.filter_errors(), if needed. """ mx = MemberContext( is_lvalue=is_lvalue, is_super=is_super, is_operator=is_operator, original_type=original_type, context=context, chk=chk, self_type=self_type, module_symbol_table=module_symbol_table, no_deferral=no_deferral, is_self=is_self, rvalue=rvalue, suppress_errors=suppress_errors, ) result = _analyze_member_access(name, typ, mx, override_info) possible_literal = get_proper_type(result) if ( in_literal_context and isinstance(possible_literal, Instance) and possible_literal.last_known_value is not None ): return possible_literal.last_known_value else: return result def _analyze_member_access( name: str, typ: Type, mx: MemberContext, override_info: TypeInfo | None = None ) -> Type: typ = get_proper_type(typ) if isinstance(typ, Instance): return analyze_instance_member_access(name, typ, mx, override_info) elif isinstance(typ, AnyType): # The base object has dynamic type. return AnyType(TypeOfAny.from_another_any, source_any=typ) elif isinstance(typ, UnionType): return analyze_union_member_access(name, typ, mx) elif isinstance(typ, FunctionLike) and typ.is_type_obj(): return analyze_type_callable_member_access(name, typ, mx) elif isinstance(typ, TypeType): return analyze_type_type_member_access(name, typ, mx, override_info) elif isinstance(typ, TupleType): # Actually look up from the fallback instance type. return _analyze_member_access(name, tuple_fallback(typ), mx, override_info) elif isinstance(typ, (LiteralType, FunctionLike)): # Actually look up from the fallback instance type. return _analyze_member_access(name, typ.fallback, mx, override_info) elif isinstance(typ, TypedDictType): return analyze_typeddict_access(name, typ, mx, override_info) elif isinstance(typ, NoneType): return analyze_none_member_access(name, typ, mx) elif isinstance(typ, TypeVarLikeType): if isinstance(typ, TypeVarType) and typ.values: return _analyze_member_access( name, make_simplified_union(typ.values), mx, override_info ) return _analyze_member_access(name, typ.upper_bound, mx, override_info) elif isinstance(typ, DeletedType): if not mx.suppress_errors: mx.msg.deleted_as_rvalue(typ, mx.context) return AnyType(TypeOfAny.from_error) elif isinstance(typ, UninhabitedType): attr_type = UninhabitedType() attr_type.ambiguous = typ.ambiguous return attr_type return report_missing_attribute(mx.original_type, typ, name, mx) def may_be_awaitable_attribute( name: str, typ: Type, mx: MemberContext, override_info: TypeInfo | None = None ) -> bool: """Check if the given type has the attribute when awaited.""" if mx.chk.checking_missing_await: # Avoid infinite recursion. return False with mx.chk.checking_await_set(), mx.msg.filter_errors() as local_errors: aw_type = mx.chk.get_precise_awaitable_type(typ, local_errors) if aw_type is None: return False _ = _analyze_member_access( name, aw_type, mx.copy_modified(self_type=aw_type), override_info ) return not local_errors.has_new_errors() def report_missing_attribute( original_type: Type, typ: Type, name: str, mx: MemberContext, override_info: TypeInfo | None = None, ) -> Type: if mx.suppress_errors: return AnyType(TypeOfAny.from_error) error_code = mx.msg.has_no_attr(original_type, typ, name, mx.context, mx.module_symbol_table) if not mx.msg.prefer_simple_messages(): if may_be_awaitable_attribute(name, typ, mx, override_info): mx.msg.possible_missing_await(mx.context, error_code) return AnyType(TypeOfAny.from_error) # The several functions that follow implement analyze_member_access for various # types and aren't documented individually. def analyze_instance_member_access( name: str, typ: Instance, mx: MemberContext, override_info: TypeInfo | None ) -> Type: info = typ.type if override_info: info = override_info method = info.get_method(name) if name == "__init__" and not mx.is_super and not info.is_final: if not method or not method.is_final: # Accessing __init__ in statically typed code would compromise # type safety unless used via super() or the method/class is final. mx.fail(message_registry.CANNOT_ACCESS_INIT) return AnyType(TypeOfAny.from_error) # The base object has an instance type. if ( state.find_occurrences and info.name == state.find_occurrences[0] and name == state.find_occurrences[1] and not mx.suppress_errors ): mx.msg.note("Occurrence of '{}.{}'".format(*state.find_occurrences), mx.context) # Look up the member. First look up the method dictionary. if method and not isinstance(method, Decorator): if mx.is_super and not mx.suppress_errors: validate_super_call(method, mx) if method.is_property: assert isinstance(method, OverloadedFuncDef) getter = method.items[0] assert isinstance(getter, Decorator) if mx.is_lvalue and getter.var.is_settable_property: mx.chk.warn_deprecated(method.setter, mx.context) return analyze_var(name, getter.var, typ, mx) if mx.is_lvalue and not mx.suppress_errors: mx.msg.cant_assign_to_method(mx.context) if not isinstance(method, OverloadedFuncDef): signature = function_type(method, mx.named_type("builtins.function")) else: if method.type is None: # Overloads may be not ready if they are decorated. Handle this in same # manner as we would handle a regular decorated function: defer if possible. if not mx.no_deferral and method.items: mx.not_ready_callback(method.name, mx.context) return AnyType(TypeOfAny.special_form) assert isinstance(method.type, Overloaded) signature = method.type if not mx.preserve_type_var_ids: signature = freshen_all_functions_type_vars(signature) if not method.is_static: if isinstance(method, (FuncDef, OverloadedFuncDef)) and method.is_trivial_self: signature = bind_self_fast(signature, mx.self_type) else: signature = check_self_arg( signature, mx.self_type, method.is_class, mx.context, name, mx.msg ) signature = bind_self(signature, mx.self_type, is_classmethod=method.is_class) typ = map_instance_to_supertype(typ, method.info) member_type = expand_type_by_instance(signature, typ) freeze_all_type_vars(member_type) return member_type else: # Not a method. return analyze_member_var_access(name, typ, info, mx) def validate_super_call(node: FuncBase, mx: MemberContext) -> None: unsafe_super = False if isinstance(node, FuncDef) and node.is_trivial_body: unsafe_super = True elif isinstance(node, OverloadedFuncDef): if node.impl: impl = node.impl if isinstance(node.impl, FuncDef) else node.impl.func unsafe_super = impl.is_trivial_body elif not node.is_property and node.items: assert isinstance(node.items[0], Decorator) unsafe_super = node.items[0].func.is_trivial_body if unsafe_super: mx.msg.unsafe_super(node.name, node.info.name, mx.context) def analyze_type_callable_member_access(name: str, typ: FunctionLike, mx: MemberContext) -> Type: # Class attribute. # TODO super? ret_type = typ.items[0].ret_type assert isinstance(ret_type, ProperType) if isinstance(ret_type, TupleType): ret_type = tuple_fallback(ret_type) if isinstance(ret_type, TypedDictType): ret_type = ret_type.fallback if isinstance(ret_type, LiteralType): ret_type = ret_type.fallback if isinstance(ret_type, Instance): if not mx.is_operator: # When Python sees an operator (eg `3 == 4`), it automatically translates that # into something like `int.__eq__(3, 4)` instead of `(3).__eq__(4)` as an # optimization. # # While it normally it doesn't matter which of the two versions are used, it # does cause inconsistencies when working with classes. For example, translating # `int == int` to `int.__eq__(int)` would not work since `int.__eq__` is meant to # compare two int _instances_. What we really want is `type(int).__eq__`, which # is meant to compare two types or classes. # # This check makes sure that when we encounter an operator, we skip looking up # the corresponding method in the current instance to avoid this edge case. # See https://github.com/python/mypy/pull/1787 for more info. # TODO: do not rely on same type variables being present in all constructor overloads. result = analyze_class_attribute_access( ret_type, name, mx, original_vars=typ.items[0].variables, mcs_fallback=typ.fallback ) if result: return result # Look up from the 'type' type. return _analyze_member_access(name, typ.fallback, mx) else: assert False, f"Unexpected type {ret_type!r}" def analyze_type_type_member_access( name: str, typ: TypeType, mx: MemberContext, override_info: TypeInfo | None ) -> Type: # Similar to analyze_type_callable_attribute_access. item = None fallback = mx.named_type("builtins.type") if isinstance(typ.item, Instance): item = typ.item elif isinstance(typ.item, AnyType): with mx.msg.filter_errors(): return _analyze_member_access(name, fallback, mx, override_info) elif isinstance(typ.item, TypeVarType): upper_bound = get_proper_type(typ.item.upper_bound) if isinstance(upper_bound, Instance): item = upper_bound elif isinstance(upper_bound, UnionType): return _analyze_member_access( name, TypeType.make_normalized(upper_bound, line=typ.line, column=typ.column), mx, override_info, ) elif isinstance(upper_bound, TupleType): item = tuple_fallback(upper_bound) elif isinstance(upper_bound, AnyType): with mx.msg.filter_errors(): return _analyze_member_access(name, fallback, mx, override_info) elif isinstance(typ.item, TupleType): item = tuple_fallback(typ.item) elif isinstance(typ.item, FunctionLike) and typ.item.is_type_obj(): item = typ.item.fallback elif isinstance(typ.item, TypeType): # Access member on metaclass object via Type[Type[C]] if isinstance(typ.item.item, Instance): item = typ.item.item.type.metaclass_type ignore_messages = False if item is not None: fallback = item.type.metaclass_type or fallback if item and not mx.is_operator: # See comment above for why operators are skipped result = analyze_class_attribute_access( item, name, mx, mcs_fallback=fallback, override_info=override_info ) if result: if not (isinstance(get_proper_type(result), AnyType) and item.type.fallback_to_any): return result else: # We don't want errors on metaclass lookup for classes with Any fallback ignore_messages = True with mx.msg.filter_errors(filter_errors=ignore_messages): return _analyze_member_access(name, fallback, mx, override_info) def analyze_union_member_access(name: str, typ: UnionType, mx: MemberContext) -> Type: with mx.msg.disable_type_names(): results = [] for subtype in typ.relevant_items(): # Self types should be bound to every individual item of a union. item_mx = mx.copy_modified(self_type=subtype) results.append(_analyze_member_access(name, subtype, item_mx)) return make_simplified_union(results) def analyze_none_member_access(name: str, typ: NoneType, mx: MemberContext) -> Type: if name == "__bool__": literal_false = LiteralType(False, fallback=mx.named_type("builtins.bool")) return CallableType( arg_types=[], arg_kinds=[], arg_names=[], ret_type=literal_false, fallback=mx.named_type("builtins.function"), ) else: return _analyze_member_access(name, mx.named_type("builtins.object"), mx) def analyze_member_var_access( name: str, itype: Instance, info: TypeInfo, mx: MemberContext ) -> Type: """Analyse attribute access that does not target a method. This is logically part of analyze_member_access and the arguments are similar. original_type is the type of E in the expression E.var """ # It was not a method. Try looking up a variable. node = info.get(name) v = node.node if node else None mx.chk.warn_deprecated(v, mx.context) vv = v is_trivial_self = False if isinstance(vv, Decorator): # The associated Var node of a decorator contains the type. v = vv.var is_trivial_self = vv.func.is_trivial_self and not vv.decorators if mx.is_super and not mx.suppress_errors: validate_super_call(vv.func, mx) if isinstance(v, FuncDef): assert False, "Did not expect a function" if isinstance(v, MypyFile): # Special case: accessing module on instances is allowed, but will not # be recorded by semantic analyzer. mx.chk.module_refs.add(v.fullname) if isinstance(vv, (TypeInfo, TypeAlias, MypyFile, TypeVarLikeExpr)): # If the associated variable is a TypeInfo synthesize a Var node for # the purposes of type checking. This enables us to type check things # like accessing class attributes on an inner class. Similar we allow # using qualified type aliases in runtime context. For example: # class C: # A = List[int] # x = C.A() <- this is OK typ = mx.chk.expr_checker.analyze_static_reference(vv, mx.context, mx.is_lvalue) v = Var(name, type=typ) v.info = info if isinstance(v, Var): implicit = info[name].implicit # An assignment to final attribute is always an error, # independently of types. if mx.is_lvalue and not mx.chk.get_final_context(): check_final_member(name, info, mx.msg, mx.context) return analyze_var(name, v, itype, mx, implicit=implicit, is_trivial_self=is_trivial_self) elif ( not v and name not in ["__getattr__", "__setattr__", "__getattribute__"] and not mx.is_operator and mx.module_symbol_table is None ): # Above we skip ModuleType.__getattr__ etc. if we have a # module symbol table, since the symbol table allows precise # checking. if not mx.is_lvalue: for method_name in ("__getattribute__", "__getattr__"): method = info.get_method(method_name) # __getattribute__ is defined on builtins.object and returns Any, so without # the guard this search will always find object.__getattribute__ and conclude # that the attribute exists if method and method.info.fullname != "builtins.object": bound_method = analyze_decorator_or_funcbase_access( defn=method, itype=itype, name=method_name, mx=mx ) typ = map_instance_to_supertype(itype, method.info) getattr_type = get_proper_type(expand_type_by_instance(bound_method, typ)) if isinstance(getattr_type, CallableType): result = getattr_type.ret_type else: result = getattr_type # Call the attribute hook before returning. fullname = f"{method.info.fullname}.{name}" hook = mx.chk.plugin.get_attribute_hook(fullname) if hook: result = hook( AttributeContext( get_proper_type(mx.original_type), result, mx.is_lvalue, mx.context, mx.chk, ) ) return result else: setattr_meth = info.get_method("__setattr__") if setattr_meth and setattr_meth.info.fullname != "builtins.object": bound_type = analyze_decorator_or_funcbase_access( defn=setattr_meth, itype=itype, name="__setattr__", mx=mx.copy_modified(is_lvalue=False), ) typ = map_instance_to_supertype(itype, setattr_meth.info) setattr_type = get_proper_type(expand_type_by_instance(bound_type, typ)) if isinstance(setattr_type, CallableType) and len(setattr_type.arg_types) > 0: return setattr_type.arg_types[-1] if itype.type.fallback_to_any: return AnyType(TypeOfAny.special_form) # Could not find the member. if itype.extra_attrs and name in itype.extra_attrs.attrs: # For modules use direct symbol table lookup. if not itype.extra_attrs.mod_name: return itype.extra_attrs.attrs[name] if mx.is_super and not mx.suppress_errors: mx.msg.undefined_in_superclass(name, mx.context) return AnyType(TypeOfAny.from_error) else: ret = report_missing_attribute(mx.original_type, itype, name, mx) # Avoid paying double jeopardy if we can't find the member due to --no-implicit-reexport if ( mx.module_symbol_table is not None and name in mx.module_symbol_table and not mx.module_symbol_table[name].module_public ): v = mx.module_symbol_table[name].node e = NameExpr(name) e.set_line(mx.context) e.node = v return mx.chk.expr_checker.analyze_ref_expr(e, lvalue=mx.is_lvalue) return ret def check_final_member(name: str, info: TypeInfo, msg: MessageBuilder, ctx: Context) -> None: """Give an error if the name being assigned was declared as final.""" for base in info.mro: sym = base.names.get(name) if sym and is_final_node(sym.node): msg.cant_assign_to_final(name, attr_assign=True, ctx=ctx) def analyze_descriptor_access(descriptor_type: Type, mx: MemberContext) -> Type: """Type check descriptor access. Arguments: descriptor_type: The type of the descriptor attribute being accessed (the type of ``f`` in ``a.f`` when ``f`` is a descriptor). mx: The current member access context. Return: The return type of the appropriate ``__get__/__set__`` overload for the descriptor. """ instance_type = get_proper_type(mx.self_type) orig_descriptor_type = descriptor_type descriptor_type = get_proper_type(descriptor_type) if isinstance(descriptor_type, UnionType): # Map the access over union types return make_simplified_union( [analyze_descriptor_access(typ, mx) for typ in descriptor_type.items] ) elif not isinstance(descriptor_type, Instance): return orig_descriptor_type if not mx.is_lvalue and not descriptor_type.type.has_readable_member("__get__"): return orig_descriptor_type # We do this check first to accommodate for descriptors with only __set__ method. # If there is no __set__, we type-check that the assigned value matches # the return type of __get__. This doesn't match the python semantics, # (which allow you to override the descriptor with any value), but preserves # the type of accessing the attribute (even after the override). if mx.is_lvalue and descriptor_type.type.has_readable_member("__set__"): return analyze_descriptor_assign(descriptor_type, mx) if mx.is_lvalue and not descriptor_type.type.has_readable_member("__get__"): # This turned out to be not a descriptor after all. return orig_descriptor_type dunder_get = descriptor_type.type.get_method("__get__") if dunder_get is None: mx.fail( message_registry.DESCRIPTOR_GET_NOT_CALLABLE.format( descriptor_type.str_with_options(mx.msg.options) ) ) return AnyType(TypeOfAny.from_error) bound_method = analyze_decorator_or_funcbase_access( defn=dunder_get, itype=descriptor_type, name="__get__", mx=mx.copy_modified(self_type=descriptor_type), ) typ = map_instance_to_supertype(descriptor_type, dunder_get.info) dunder_get_type = expand_type_by_instance(bound_method, typ) if isinstance(instance_type, FunctionLike) and instance_type.is_type_obj(): owner_type = instance_type.items[0].ret_type instance_type = NoneType() elif isinstance(instance_type, TypeType): owner_type = instance_type.item instance_type = NoneType() else: owner_type = instance_type callable_name = mx.chk.expr_checker.method_fullname(descriptor_type, "__get__") dunder_get_type = mx.chk.expr_checker.transform_callee_type( callable_name, dunder_get_type, [ TempNode(instance_type, context=mx.context), TempNode(TypeType.make_normalized(owner_type), context=mx.context), ], [ARG_POS, ARG_POS], mx.context, object_type=descriptor_type, ) _, inferred_dunder_get_type = mx.chk.expr_checker.check_call( dunder_get_type, [ TempNode(instance_type, context=mx.context), TempNode(TypeType.make_normalized(owner_type), context=mx.context), ], [ARG_POS, ARG_POS], mx.context, object_type=descriptor_type, callable_name=callable_name, ) # Search for possible deprecations: mx.chk.warn_deprecated(dunder_get, mx.context) inferred_dunder_get_type = get_proper_type(inferred_dunder_get_type) if isinstance(inferred_dunder_get_type, AnyType): # check_call failed, and will have reported an error return inferred_dunder_get_type if not isinstance(inferred_dunder_get_type, CallableType): mx.fail( message_registry.DESCRIPTOR_GET_NOT_CALLABLE.format( descriptor_type.str_with_options(mx.msg.options) ) ) return AnyType(TypeOfAny.from_error) return inferred_dunder_get_type.ret_type def analyze_descriptor_assign(descriptor_type: Instance, mx: MemberContext) -> Type: instance_type = get_proper_type(mx.self_type) dunder_set = descriptor_type.type.get_method("__set__") if dunder_set is None: mx.fail( message_registry.DESCRIPTOR_SET_NOT_CALLABLE.format( descriptor_type.str_with_options(mx.msg.options) ).value ) return AnyType(TypeOfAny.from_error) bound_method = analyze_decorator_or_funcbase_access( defn=dunder_set, itype=descriptor_type, name="__set__", mx=mx.copy_modified(is_lvalue=False, self_type=descriptor_type), ) typ = map_instance_to_supertype(descriptor_type, dunder_set.info) dunder_set_type = expand_type_by_instance(bound_method, typ) callable_name = mx.chk.expr_checker.method_fullname(descriptor_type, "__set__") rvalue = mx.rvalue or TempNode(AnyType(TypeOfAny.special_form), context=mx.context) dunder_set_type = mx.chk.expr_checker.transform_callee_type( callable_name, dunder_set_type, [TempNode(instance_type, context=mx.context), rvalue], [ARG_POS, ARG_POS], mx.context, object_type=descriptor_type, ) # For non-overloaded setters, the result should be type-checked like a regular assignment. # Hence, we first only try to infer the type by using the rvalue as type context. type_context = rvalue with mx.msg.filter_errors(): _, inferred_dunder_set_type = mx.chk.expr_checker.check_call( dunder_set_type, [TempNode(instance_type, context=mx.context), type_context], [ARG_POS, ARG_POS], mx.context, object_type=descriptor_type, callable_name=callable_name, ) # And now we in fact type check the call, to show errors related to wrong arguments # count, etc., replacing the type context for non-overloaded setters only. inferred_dunder_set_type = get_proper_type(inferred_dunder_set_type) if isinstance(inferred_dunder_set_type, CallableType): type_context = TempNode(AnyType(TypeOfAny.special_form), context=mx.context) mx.chk.expr_checker.check_call( dunder_set_type, [TempNode(instance_type, context=mx.context), type_context], [ARG_POS, ARG_POS], mx.context, object_type=descriptor_type, callable_name=callable_name, ) # Search for possible deprecations: mx.chk.warn_deprecated(dunder_set, mx.context) # In the following cases, a message already will have been recorded in check_call. if (not isinstance(inferred_dunder_set_type, CallableType)) or ( len(inferred_dunder_set_type.arg_types) < 2 ): return AnyType(TypeOfAny.from_error) return inferred_dunder_set_type.arg_types[1] def is_instance_var(var: Var) -> bool: """Return if var is an instance variable according to PEP 526.""" return ( # check the type_info node is the var (not a decorated function, etc.) var.name in var.info.names and var.info.names[var.name].node is var and not var.is_classvar # variables without annotations are treated as classvar and not var.is_inferred ) def analyze_var( name: str, var: Var, itype: Instance, mx: MemberContext, *, implicit: bool = False, is_trivial_self: bool = False, ) -> Type: """Analyze access to an attribute via a Var node. This is conceptually part of analyze_member_access and the arguments are similar. itype is the instance type in which attribute should be looked up original_type is the type of E in the expression E.var if implicit is True, the original Var was created as an assignment to self if is_trivial_self is True, we can use fast path for bind_self(). """ # Found a member variable. original_itype = itype itype = map_instance_to_supertype(itype, var.info) if var.is_settable_property and mx.is_lvalue: typ: Type | None = var.setter_type if typ is None and var.is_ready: # Existing synthetic properties may not set setter type. Fall back to getter. typ = var.type else: typ = var.type if typ: if isinstance(typ, PartialType): return mx.chk.handle_partial_var_type(typ, mx.is_lvalue, var, mx.context) if mx.is_lvalue and not mx.suppress_errors: if var.is_property and not var.is_settable_property: mx.msg.read_only_property(name, itype.type, mx.context) if var.is_classvar: mx.msg.cant_assign_to_classvar(name, mx.context) # This is the most common case for variables, so start with this. result = expand_without_binding(typ, var, itype, original_itype, mx) # A non-None value indicates that we should actually bind self for this variable. call_type: ProperType | None = None if var.is_initialized_in_class and (not is_instance_var(var) or mx.is_operator): typ = get_proper_type(typ) if isinstance(typ, FunctionLike) and not typ.is_type_obj(): call_type = typ elif var.is_property: deco_mx = mx.copy_modified(original_type=typ, self_type=typ, is_lvalue=False) call_type = get_proper_type(_analyze_member_access("__call__", typ, deco_mx)) else: call_type = typ # Bound variables with callable types are treated like methods # (these are usually method aliases like __rmul__ = __mul__). if isinstance(call_type, FunctionLike) and not call_type.is_type_obj(): if mx.is_lvalue and not var.is_property and not mx.suppress_errors: mx.msg.cant_assign_to_method(mx.context) # Bind the self type for each callable component (when needed). if call_type and not var.is_staticmethod: bound_items = [] for ct in call_type.items if isinstance(call_type, UnionType) else [call_type]: p_ct = get_proper_type(ct) if isinstance(p_ct, FunctionLike) and (not p_ct.bound() or var.is_property): item = expand_and_bind_callable(p_ct, var, itype, name, mx, is_trivial_self) else: item = expand_without_binding(ct, var, itype, original_itype, mx) bound_items.append(item) result = UnionType.make_union(bound_items) else: if not var.is_ready and not mx.no_deferral: mx.not_ready_callback(var.name, mx.context) # Implicit 'Any' type. result = AnyType(TypeOfAny.special_form) fullname = f"{var.info.fullname}.{name}" hook = mx.chk.plugin.get_attribute_hook(fullname) if var.info.is_enum and not mx.is_lvalue: if name in var.info.enum_members and name not in {"name", "value"}: enum_literal = LiteralType(name, fallback=itype) result = itype.copy_modified(last_known_value=enum_literal) elif ( isinstance(p_result := get_proper_type(result), Instance) and p_result.type.fullname == "enum.nonmember" and p_result.args ): # Unwrap nonmember similar to class-level access result = p_result.args[0] if result and not (implicit or var.info.is_protocol and is_instance_var(var)): result = analyze_descriptor_access(result, mx) if hook: result = hook( AttributeContext( get_proper_type(mx.original_type), result, mx.is_lvalue, mx.context, mx.chk ) ) return result def expand_without_binding( typ: Type, var: Var, itype: Instance, original_itype: Instance, mx: MemberContext ) -> Type: if not mx.preserve_type_var_ids: typ = freshen_all_functions_type_vars(typ) typ = expand_self_type_if_needed(typ, mx, var, original_itype) expanded = expand_type_by_instance(typ, itype) freeze_all_type_vars(expanded) return expanded def expand_and_bind_callable( functype: FunctionLike, var: Var, itype: Instance, name: str, mx: MemberContext, is_trivial_self: bool, ) -> Type: if not mx.preserve_type_var_ids: functype = freshen_all_functions_type_vars(functype) typ = get_proper_type(expand_self_type(var, functype, mx.self_type)) assert isinstance(typ, FunctionLike) if is_trivial_self: typ = bind_self_fast(typ, mx.self_type) else: typ = check_self_arg(typ, mx.self_type, var.is_classmethod, mx.context, name, mx.msg) typ = bind_self(typ, mx.self_type, var.is_classmethod) expanded = expand_type_by_instance(typ, itype) freeze_all_type_vars(expanded) if not var.is_property: return expanded if isinstance(expanded, Overloaded): # Legacy way to store settable properties is with overloads. Also in case it is # an actual overloaded property, selecting first item that passed check_self_arg() # is a good approximation, long-term we should use check_call() inference below. if not expanded.items: # A broken overload, error should be already reported. return AnyType(TypeOfAny.from_error) expanded = expanded.items[0] assert isinstance(expanded, CallableType), expanded if var.is_settable_property and mx.is_lvalue and var.setter_type is not None: if expanded.variables: type_ctx = mx.rvalue or TempNode(AnyType(TypeOfAny.special_form), context=mx.context) _, inferred_expanded = mx.chk.expr_checker.check_call( expanded, [type_ctx], [ARG_POS], mx.context ) expanded = get_proper_type(inferred_expanded) assert isinstance(expanded, CallableType) if not expanded.arg_types: # This can happen when accessing invalid property from its own body, # error will be reported elsewhere. return AnyType(TypeOfAny.from_error) return expanded.arg_types[0] else: return expanded.ret_type def expand_self_type_if_needed( t: Type, mx: MemberContext, var: Var, itype: Instance, is_class: bool = False ) -> Type: """Expand special Self type in a backwards compatible manner. This should ensure that mixing old-style and new-style self-types work seamlessly. Also, re-bind new style self-types in subclasses if needed. """ original = get_proper_type(mx.self_type) if not (mx.is_self or mx.is_super): repl = mx.self_type if is_class: if isinstance(original, TypeType): repl = original.item elif isinstance(original, CallableType): # Problematic access errors should have been already reported. repl = erase_typevars(original.ret_type) else: repl = itype return expand_self_type(var, t, repl) elif supported_self_type( # Support compatibility with plain old style T -> T and Type[T] -> T only. get_proper_type(mx.self_type), allow_instances=False, allow_callable=False, ): repl = mx.self_type if is_class and isinstance(original, TypeType): repl = original.item return expand_self_type(var, t, repl) elif ( mx.is_self and itype.type != var.info # If an attribute with Self-type was defined in a supertype, we need to # rebind the Self type variable to Self type variable of current class... and itype.type.self_type is not None # ...unless `self` has an explicit non-trivial annotation. and itype == mx.chk.scope.active_self_type() ): return expand_self_type(var, t, itype.type.self_type) else: return t def check_self_arg( functype: FunctionLike, dispatched_arg_type: Type, is_classmethod: bool, context: Context, name: str, msg: MessageBuilder, ) -> FunctionLike: """Check that an instance has a valid type for a method with annotated 'self'. For example if the method is defined as: class A: def f(self: S) -> T: ... then for 'x.f' we check that type(x) <: S. If the method is overloaded, we select only overloads items that satisfy this requirement. If there are no matching overloads, an error is generated. """ items = functype.items if not items: return functype new_items = [] if is_classmethod: dispatched_arg_type = TypeType.make_normalized(dispatched_arg_type) p_dispatched_arg_type = get_proper_type(dispatched_arg_type) for item in items: if not item.arg_types or item.arg_kinds[0] not in (ARG_POS, ARG_STAR): # No positional first (self) argument (*args is okay). msg.no_formal_self(name, item, context) # This is pretty bad, so just return the original signature if # there is at least one such error. return functype selfarg = get_proper_type(item.arg_types[0]) if isinstance(selfarg, Instance) and isinstance(p_dispatched_arg_type, Instance): if selfarg.type is p_dispatched_arg_type.type and selfarg.args: if not is_overlapping_types(p_dispatched_arg_type, selfarg): # This special casing is needed since `actual <: erased(template)` # logic below doesn't always work, and a more correct approach may # be tricky. continue new_items.append(item) if new_items: items = new_items new_items = [] for item in items: selfarg = get_proper_type(item.arg_types[0]) # This matches similar special-casing in bind_self(), see more details there. self_callable = name == "__call__" and isinstance(selfarg, CallableType) if self_callable or is_subtype( dispatched_arg_type, # This level of erasure matches the one in checker.check_func_def(), # better keep these two checks consistent. erase_typevars(erase_to_bound(selfarg)), # This is to work around the fact that erased ParamSpec and TypeVarTuple # callables are not always compatible with non-erased ones both ways. always_covariant=any( not isinstance(tv, TypeVarType) for tv in get_all_type_vars(selfarg) ), ignore_pos_arg_names=True, ): new_items.append(item) elif isinstance(selfarg, ParamSpecType): # TODO: This is not always right. What's the most reasonable thing to do here? new_items.append(item) elif isinstance(selfarg, TypeVarTupleType): raise NotImplementedError if not new_items: # Choose first item for the message (it may be not very helpful for overloads). msg.incompatible_self_argument( name, dispatched_arg_type, items[0], is_classmethod, context ) return functype if len(new_items) == 1: return new_items[0] return Overloaded(new_items) def analyze_class_attribute_access( itype: Instance, name: str, mx: MemberContext, *, mcs_fallback: Instance, override_info: TypeInfo | None = None, original_vars: Sequence[TypeVarLikeType] | None = None, ) -> Type | None: """Analyze access to an attribute on a class object. itype is the return type of the class object callable, original_type is the type of E in the expression E.var, original_vars are type variables of the class callable (for generic classes). """ info = itype.type if override_info: info = override_info fullname = f"{info.fullname}.{name}" hook = mx.chk.plugin.get_class_attribute_hook(fullname) node = info.get(name) if not node: if itype.extra_attrs and name in itype.extra_attrs.attrs: # For modules use direct symbol table lookup. if not itype.extra_attrs.mod_name: return itype.extra_attrs.attrs[name] if info.fallback_to_any or info.meta_fallback_to_any: return apply_class_attr_hook(mx, hook, AnyType(TypeOfAny.special_form)) return None if ( isinstance(node.node, Var) and not node.node.is_classvar and not hook and mcs_fallback.type.get(name) ): # If the same attribute is declared on the metaclass and the class but with different types, # and the attribute on the class is not a ClassVar, # the type of the attribute on the metaclass should take priority # over the type of the attribute on the class, # when the attribute is being accessed from the class object itself. # # Return `None` here to signify that the name should be looked up # on the class object itself rather than the instance. return None mx.chk.warn_deprecated(node.node, mx.context) is_decorated = isinstance(node.node, Decorator) is_method = is_decorated or isinstance(node.node, FuncBase) if mx.is_lvalue and not mx.suppress_errors: if is_method: mx.msg.cant_assign_to_method(mx.context) if isinstance(node.node, TypeInfo): mx.fail(message_registry.CANNOT_ASSIGN_TO_TYPE) # Refuse class attribute access if slot defined if info.slots and name in info.slots: mx.fail(message_registry.CLASS_VAR_CONFLICTS_SLOTS.format(name)) # If a final attribute was declared on `self` in `__init__`, then it # can't be accessed on the class object. if node.implicit and isinstance(node.node, Var) and node.node.is_final: mx.fail(message_registry.CANNOT_ACCESS_FINAL_INSTANCE_ATTR.format(node.node.name)) # An assignment to final attribute on class object is also always an error, # independently of types. if mx.is_lvalue and not mx.chk.get_final_context(): check_final_member(name, info, mx.msg, mx.context) if info.is_enum and not (mx.is_lvalue or is_decorated or is_method): enum_class_attribute_type = analyze_enum_class_attribute_access(itype, name, mx) if enum_class_attribute_type: return apply_class_attr_hook(mx, hook, enum_class_attribute_type) t = node.type if t: if isinstance(t, PartialType): symnode = node.node assert isinstance(symnode, Var) return apply_class_attr_hook( mx, hook, mx.chk.handle_partial_var_type(t, mx.is_lvalue, symnode, mx.context) ) # Find the class where method/variable was defined. if isinstance(node.node, Decorator): super_info: TypeInfo | None = node.node.var.info elif isinstance(node.node, (Var, SYMBOL_FUNCBASE_TYPES)): super_info = node.node.info else: super_info = None # Map the type to how it would look as a defining class. For example: # class C(Generic[T]): ... # class D(C[Tuple[T, S]]): ... # D[int, str].method() # Here itype is D[int, str], isuper is C[Tuple[int, str]]. if not super_info: isuper = None else: isuper = map_instance_to_supertype(itype, super_info) if isinstance(node.node, Var): assert isuper is not None object_type = get_proper_type(mx.self_type) # Check if original variable type has type variables. For example: # class C(Generic[T]): # x: T # C.x # Error, ambiguous access # C[int].x # Also an error, since C[int] is same as C at runtime # Exception is Self type wrapped in ClassVar, that is safe. prohibit_self = not node.node.is_classvar def_vars = set(node.node.info.defn.type_vars) if prohibit_self and node.node.info.self_type: def_vars.add(node.node.info.self_type) # Exception: access on Type[...], including first argument of class methods is OK. prohibit_generic = not isinstance(object_type, TypeType) or node.implicit if prohibit_generic and def_vars & set(get_all_type_vars(t)): if node.node.is_classvar: message = message_registry.GENERIC_CLASS_VAR_ACCESS else: message = message_registry.GENERIC_INSTANCE_VAR_CLASS_ACCESS mx.fail(message) t = expand_self_type_if_needed(t, mx, node.node, itype, is_class=True) t = expand_type_by_instance(t, isuper) # Erase non-mapped variables, but keep mapped ones, even if there is an error. # In the above example this means that we infer following types: # C.x -> Any # C[int].x -> int if prohibit_generic: erase_vars = set(itype.type.defn.type_vars) if prohibit_self and itype.type.self_type: erase_vars.add(itype.type.self_type) t = erase_typevars(t, {tv.id for tv in erase_vars}) is_classmethod = ( (is_decorated and cast(Decorator, node.node).func.is_class) or (isinstance(node.node, SYMBOL_FUNCBASE_TYPES) and node.node.is_class) or isinstance(node.node, Var) and node.node.is_classmethod ) t = get_proper_type(t) is_trivial_self = False if isinstance(node.node, Decorator): # Use fast path if there are trivial decorators like @classmethod or @property is_trivial_self = node.node.func.is_trivial_self and not node.node.decorators elif isinstance(node.node, (FuncDef, OverloadedFuncDef)): is_trivial_self = node.node.is_trivial_self if ( isinstance(t, FunctionLike) and is_classmethod and not is_trivial_self and not t.bound() ): t = check_self_arg(t, mx.self_type, False, mx.context, name, mx.msg) t = add_class_tvars( t, isuper, is_classmethod, mx, original_vars=original_vars, is_trivial_self=is_trivial_self, ) if is_decorated: t = expand_self_type_if_needed( t, mx, cast(Decorator, node.node).var, itype, is_class=is_classmethod ) result = t # __set__ is not called on class objects. if not mx.is_lvalue: result = analyze_descriptor_access(result, mx) return apply_class_attr_hook(mx, hook, result) elif isinstance(node.node, Var): mx.not_ready_callback(name, mx.context) return AnyType(TypeOfAny.special_form) if isinstance(node.node, (TypeInfo, TypeAlias, MypyFile, TypeVarLikeExpr)): # TODO: should we apply class plugin here (similar to instance access)? return mx.chk.expr_checker.analyze_static_reference(node.node, mx.context, mx.is_lvalue) if is_decorated: assert isinstance(node.node, Decorator) if node.node.type: return apply_class_attr_hook(mx, hook, node.node.type) else: mx.not_ready_callback(name, mx.context) return AnyType(TypeOfAny.from_error) else: assert isinstance(node.node, SYMBOL_FUNCBASE_TYPES) typ = function_type(node.node, mx.named_type("builtins.function")) # Note: if we are accessing class method on class object, the cls argument is bound. # Annotated and/or explicit class methods go through other code paths above, for # unannotated implicit class methods we do this here. if node.node.is_class: typ = bind_self_fast(typ) return apply_class_attr_hook(mx, hook, typ) def apply_class_attr_hook( mx: MemberContext, hook: Callable[[AttributeContext], Type] | None, result: Type ) -> Type | None: if hook: result = hook( AttributeContext( get_proper_type(mx.original_type), result, mx.is_lvalue, mx.context, mx.chk ) ) return result def analyze_enum_class_attribute_access( itype: Instance, name: str, mx: MemberContext ) -> Type | None: # Skip these since Enum will remove it if name in EXCLUDED_ENUM_ATTRIBUTES: return report_missing_attribute(mx.original_type, itype, name, mx) # Dunders and private names are not Enum members if name.startswith("__") and name.replace("_", "") != "": return None node = itype.type.get(name) if node and node.type: proper = get_proper_type(node.type) # Support `A = nonmember(1)` function call and decorator. if ( isinstance(proper, Instance) and proper.type.fullname == "enum.nonmember" and proper.args ): return proper.args[0] enum_literal = LiteralType(name, fallback=itype) return itype.copy_modified(last_known_value=enum_literal) def analyze_typeddict_access( name: str, typ: TypedDictType, mx: MemberContext, override_info: TypeInfo | None ) -> Type: if name == "__setitem__": if isinstance(mx.context, IndexExpr): # Since we can get this during `a['key'] = ...` # it is safe to assume that the context is `IndexExpr`. item_type, key_names = mx.chk.expr_checker.visit_typeddict_index_expr( typ, mx.context.index, setitem=True ) assigned_readonly_keys = typ.readonly_keys & key_names if assigned_readonly_keys and not mx.suppress_errors: mx.msg.readonly_keys_mutated(assigned_readonly_keys, context=mx.context) else: # It can also be `a.__setitem__(...)` direct call. # In this case `item_type` can be `Any`, # because we don't have args available yet. # TODO: check in `default` plugin that `__setitem__` is correct. item_type = AnyType(TypeOfAny.implementation_artifact) return CallableType( arg_types=[mx.chk.named_type("builtins.str"), item_type], arg_kinds=[ARG_POS, ARG_POS], arg_names=[None, None], ret_type=NoneType(), fallback=mx.chk.named_type("builtins.function"), name=name, ) elif name == "__delitem__": return CallableType( arg_types=[mx.chk.named_type("builtins.str")], arg_kinds=[ARG_POS], arg_names=[None], ret_type=NoneType(), fallback=mx.chk.named_type("builtins.function"), name=name, ) return _analyze_member_access(name, typ.fallback, mx, override_info) def add_class_tvars( t: ProperType, isuper: Instance | None, is_classmethod: bool, mx: MemberContext, original_vars: Sequence[TypeVarLikeType] | None = None, is_trivial_self: bool = False, ) -> Type: """Instantiate type variables during analyze_class_attribute_access, e.g T and Q in the following: class A(Generic[T]): @classmethod def foo(cls: Type[Q]) -> Tuple[T, Q]: ... class B(A[str]): pass B.foo() Args: t: Declared type of the method (or property) isuper: Current instance mapped to the superclass where method was defined, this is usually done by map_instance_to_supertype() is_classmethod: True if this method is decorated with @classmethod original_vars: Type variables of the class callable on which the method was accessed is_trivial_self: if True, we can use fast path for bind_self(). Returns: Expanded method type with added type variables (when needed). """ # TODO: verify consistency between Q and T # We add class type variables if the class method is accessed on class object # without applied type arguments, this matches the behavior of __init__(). # For example (continuing the example in docstring): # A # The type of callable is def [T] () -> A[T], _not_ def () -> A[Any] # A[int] # The type of callable is def () -> A[int] # and # A.foo # The type is generic def [T] () -> Tuple[T, A[T]] # A[int].foo # The type is non-generic def () -> Tuple[int, A[int]] # # This behaviour is useful for defining alternative constructors for generic classes. # To achieve such behaviour, we add the class type variables that are still free # (i.e. appear in the return type of the class object on which the method was accessed). if isinstance(t, CallableType): tvars = original_vars if original_vars is not None else [] if not mx.preserve_type_var_ids: t = freshen_all_functions_type_vars(t) if is_classmethod and not t.is_bound: if is_trivial_self: t = bind_self_fast(t, mx.self_type) else: t = bind_self(t, mx.self_type, is_classmethod=True) if isuper is not None: t = expand_type_by_instance(t, isuper) freeze_all_type_vars(t) return t.copy_modified(variables=list(tvars) + list(t.variables)) elif isinstance(t, Overloaded): return Overloaded( [ cast( CallableType, add_class_tvars(item, isuper, is_classmethod, mx, original_vars=original_vars), ) for item in t.items ] ) if isuper is not None: t = expand_type_by_instance(t, isuper) return t def analyze_decorator_or_funcbase_access( defn: Decorator | FuncBase, itype: Instance, name: str, mx: MemberContext ) -> Type: """Analyzes the type behind method access. The function itself can possibly be decorated. See: https://github.com/python/mypy/issues/10409 """ if isinstance(defn, Decorator): return analyze_var(name, defn.var, itype, mx) typ = function_type(defn, mx.chk.named_type("builtins.function")) if isinstance(defn, (FuncDef, OverloadedFuncDef)) and defn.is_trivial_self: return bind_self_fast(typ, mx.self_type) typ = check_self_arg(typ, mx.self_type, defn.is_class, mx.context, name, mx.msg) return bind_self(typ, original_type=mx.self_type, is_classmethod=defn.is_class) F = TypeVar("F", bound=FunctionLike) def bind_self_fast(method: F, original_type: Type | None = None) -> F: """Return a copy of `method`, with the type of its first parameter (usually self or cls) bound to original_type. This is a faster version of mypy.typeops.bind_self() that can be used for methods with trivial self/cls annotations. """ if isinstance(method, Overloaded): items = [bind_self_fast(c, original_type) for c in method.items] return cast(F, Overloaded(items)) assert isinstance(method, CallableType) if not method.arg_types: # Invalid method, return something. return method if method.arg_kinds[0] in (ARG_STAR, ARG_STAR2): # See typeops.py for details. return method return method.copy_modified( arg_types=method.arg_types[1:], arg_kinds=method.arg_kinds[1:], arg_names=method.arg_names[1:], is_bound=True, ) def has_operator(typ: Type, op_method: str, named_type: Callable[[str], Instance]) -> bool: """Does type have operator with the given name? Note: this follows the rules for operator access, in particular: * __getattr__ is not considered * for class objects we only look in metaclass * instance level attributes (i.e. extra_attrs) are not considered """ # This is much faster than analyze_member_access, and so using # it first as a filter is important for performance. This is mostly relevant # in situations where we can't expect that method is likely present, # e.g. for __OP__ vs __rOP__. typ = get_proper_type(typ) if isinstance(typ, TypeVarLikeType): typ = typ.values_or_bound() if isinstance(typ, AnyType): return True if isinstance(typ, UnionType): return all(has_operator(x, op_method, named_type) for x in typ.relevant_items()) if isinstance(typ, FunctionLike) and typ.is_type_obj(): return typ.fallback.type.has_readable_member(op_method) if isinstance(typ, TypeType): # Type[Union[X, ...]] is always normalized to Union[Type[X], ...], # so we don't need to care about unions here, but we need to care about # Type[T], where upper bound of T is a union. item = typ.item if isinstance(item, TypeVarType): item = item.values_or_bound() if isinstance(item, UnionType): return all(meta_has_operator(x, op_method, named_type) for x in item.relevant_items()) return meta_has_operator(item, op_method, named_type) return instance_fallback(typ, named_type).type.has_readable_member(op_method) def instance_fallback(typ: ProperType, named_type: Callable[[str], Instance]) -> Instance: if isinstance(typ, Instance): return typ if isinstance(typ, TupleType): return tuple_fallback(typ) if isinstance(typ, (LiteralType, TypedDictType)): return typ.fallback return named_type("builtins.object") def meta_has_operator(item: Type, op_method: str, named_type: Callable[[str], Instance]) -> bool: item = get_proper_type(item) if isinstance(item, AnyType): return True item = instance_fallback(item, named_type) meta = item.type.metaclass_type or named_type("builtins.type") return meta.type.has_readable_member(op_method) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/checkpattern.py0000644000175100017510000010275315112307767016312 0ustar00runnerrunner"""Pattern checker. This file is conceptually part of TypeChecker.""" from __future__ import annotations from collections import defaultdict from typing import Final, NamedTuple from mypy import message_registry from mypy.checker_shared import TypeCheckerSharedApi, TypeRange from mypy.checkmember import analyze_member_access from mypy.expandtype import expand_type_by_instance from mypy.join import join_types from mypy.literals import literal_hash from mypy.maptype import map_instance_to_supertype from mypy.meet import narrow_declared_type from mypy.messages import MessageBuilder from mypy.nodes import ARG_POS, Context, Expression, NameExpr, TypeAlias, Var from mypy.options import Options from mypy.patterns import ( AsPattern, ClassPattern, MappingPattern, OrPattern, Pattern, SequencePattern, SingletonPattern, StarredPattern, ValuePattern, ) from mypy.plugin import Plugin from mypy.subtypes import is_subtype from mypy.typeops import ( coerce_to_literal, make_simplified_union, try_getting_str_literals_from_type, tuple_fallback, ) from mypy.types import ( AnyType, FunctionLike, Instance, LiteralType, NoneType, ProperType, TupleType, Type, TypedDictType, TypeOfAny, TypeVarTupleType, TypeVarType, UninhabitedType, UnionType, UnpackType, callable_with_ellipsis, find_unpack_in_list, get_proper_type, split_with_prefix_and_suffix, ) from mypy.typevars import fill_typevars, fill_typevars_with_any from mypy.visitor import PatternVisitor self_match_type_names: Final = [ "builtins.bool", "builtins.bytearray", "builtins.bytes", "builtins.dict", "builtins.float", "builtins.frozenset", "builtins.int", "builtins.list", "builtins.set", "builtins.str", "builtins.tuple", ] non_sequence_match_type_names: Final = ["builtins.str", "builtins.bytes", "builtins.bytearray"] # For every Pattern a PatternType can be calculated. This requires recursively calculating # the PatternTypes of the sub-patterns first. # Using the data in the PatternType the match subject and captured names can be narrowed/inferred. class PatternType(NamedTuple): type: Type # The type the match subject can be narrowed to rest_type: Type # The remaining type if the pattern didn't match captures: dict[Expression, Type] # The variables captured by the pattern class PatternChecker(PatternVisitor[PatternType]): """Pattern checker. This class checks if a pattern can match a type, what the type can be narrowed to, and what type capture patterns should be inferred as. """ # Some services are provided by a TypeChecker instance. chk: TypeCheckerSharedApi # This is shared with TypeChecker, but stored also here for convenience. msg: MessageBuilder # Currently unused plugin: Plugin # The expression being matched against the pattern subject: Expression subject_type: Type # Type of the subject to check the (sub)pattern against type_context: list[Type] # Types that match against self instead of their __match_args__ if used as a class pattern # Filled in from self_match_type_names self_match_types: list[Type] # Types that are sequences, but don't match sequence patterns. Filled in from # non_sequence_match_type_names non_sequence_match_types: list[Type] options: Options def __init__( self, chk: TypeCheckerSharedApi, msg: MessageBuilder, plugin: Plugin, options: Options ) -> None: self.chk = chk self.msg = msg self.plugin = plugin self.type_context = [] self.self_match_types = self.generate_types_from_names(self_match_type_names) self.non_sequence_match_types = self.generate_types_from_names( non_sequence_match_type_names ) self.options = options def accept(self, o: Pattern, type_context: Type) -> PatternType: self.type_context.append(type_context) result = o.accept(self) self.type_context.pop() return result def visit_as_pattern(self, o: AsPattern) -> PatternType: current_type = self.type_context[-1] if o.pattern is not None: pattern_type = self.accept(o.pattern, current_type) typ, rest_type, type_map = pattern_type else: typ, rest_type, type_map = current_type, UninhabitedType(), {} if not is_uninhabited(typ) and o.name is not None: typ, _ = self.chk.conditional_types_with_intersection( current_type, [get_type_range(typ)], o, default=current_type ) if not is_uninhabited(typ): type_map[o.name] = typ return PatternType(typ, rest_type, type_map) def visit_or_pattern(self, o: OrPattern) -> PatternType: current_type = self.type_context[-1] # # Check all the subpatterns # pattern_types = [] for pattern in o.patterns: pattern_type = self.accept(pattern, current_type) pattern_types.append(pattern_type) if not is_uninhabited(pattern_type.type): current_type = pattern_type.rest_type # # Collect the final type # types = [] for pattern_type in pattern_types: if not is_uninhabited(pattern_type.type): types.append(pattern_type.type) # # Check the capture types # capture_types: dict[Var, list[tuple[Expression, Type]]] = defaultdict(list) # Collect captures from the first subpattern for expr, typ in pattern_types[0].captures.items(): node = get_var(expr) capture_types[node].append((expr, typ)) # Check if other subpatterns capture the same names for i, pattern_type in enumerate(pattern_types[1:]): vars = {get_var(expr) for expr, _ in pattern_type.captures.items()} if capture_types.keys() != vars: self.msg.fail(message_registry.OR_PATTERN_ALTERNATIVE_NAMES, o.patterns[i]) for expr, typ in pattern_type.captures.items(): node = get_var(expr) capture_types[node].append((expr, typ)) captures: dict[Expression, Type] = {} for capture_list in capture_types.values(): typ = UninhabitedType() for _, other in capture_list: typ = make_simplified_union([typ, other]) captures[capture_list[0][0]] = typ union_type = make_simplified_union(types) return PatternType(union_type, current_type, captures) def visit_value_pattern(self, o: ValuePattern) -> PatternType: current_type = self.type_context[-1] typ = self.chk.expr_checker.accept(o.expr) typ = coerce_to_literal(typ) narrowed_type, rest_type = self.chk.conditional_types_with_intersection( current_type, [get_type_range(typ)], o, default=get_proper_type(typ) ) if not isinstance(get_proper_type(narrowed_type), (LiteralType, UninhabitedType)): return PatternType(narrowed_type, UnionType.make_union([narrowed_type, rest_type]), {}) return PatternType(narrowed_type, rest_type, {}) def visit_singleton_pattern(self, o: SingletonPattern) -> PatternType: current_type = self.type_context[-1] value: bool | None = o.value if isinstance(value, bool): typ = self.chk.expr_checker.infer_literal_expr_type(value, "builtins.bool") elif value is None: typ = NoneType() else: assert False narrowed_type, rest_type = self.chk.conditional_types_with_intersection( current_type, [get_type_range(typ)], o, default=current_type ) return PatternType(narrowed_type, rest_type, {}) def visit_sequence_pattern(self, o: SequencePattern) -> PatternType: # # check for existence of a starred pattern # current_type = get_proper_type(self.type_context[-1]) if not self.can_match_sequence(current_type): return self.early_non_match() star_positions = [i for i, p in enumerate(o.patterns) if isinstance(p, StarredPattern)] star_position: int | None = None if len(star_positions) == 1: star_position = star_positions[0] elif len(star_positions) >= 2: assert False, "Parser should prevent multiple starred patterns" required_patterns = len(o.patterns) if star_position is not None: required_patterns -= 1 # # get inner types of original type # unpack_index = None if isinstance(current_type, TupleType): inner_types = current_type.items unpack_index = find_unpack_in_list(inner_types) if unpack_index is None: size_diff = len(inner_types) - required_patterns if size_diff < 0: return self.early_non_match() elif size_diff > 0 and star_position is None: return self.early_non_match() else: normalized_inner_types = [] for it in inner_types: # Unfortunately, it is not possible to "split" the TypeVarTuple # into individual items, so we just use its upper bound for the whole # analysis instead. if isinstance(it, UnpackType) and isinstance(it.type, TypeVarTupleType): it = UnpackType(it.type.upper_bound) normalized_inner_types.append(it) inner_types = normalized_inner_types current_type = current_type.copy_modified(items=normalized_inner_types) if len(inner_types) - 1 > required_patterns and star_position is None: return self.early_non_match() else: inner_type = self.get_sequence_type(current_type, o) if inner_type is None: inner_type = self.chk.named_type("builtins.object") inner_types = [inner_type] * len(o.patterns) # # match inner patterns # contracted_new_inner_types: list[Type] = [] contracted_rest_inner_types: list[Type] = [] captures: dict[Expression, Type] = {} contracted_inner_types = self.contract_starred_pattern_types( inner_types, star_position, required_patterns ) for p, t in zip(o.patterns, contracted_inner_types): pattern_type = self.accept(p, t) typ, rest, type_map = pattern_type contracted_new_inner_types.append(typ) contracted_rest_inner_types.append(rest) self.update_type_map(captures, type_map) new_inner_types = self.expand_starred_pattern_types( contracted_new_inner_types, star_position, len(inner_types), unpack_index is not None ) rest_inner_types = self.expand_starred_pattern_types( contracted_rest_inner_types, star_position, len(inner_types), unpack_index is not None ) # # Calculate new type # new_type: Type rest_type: Type = current_type if isinstance(current_type, TupleType) and unpack_index is None: narrowed_inner_types = [] inner_rest_types = [] for inner_type, new_inner_type in zip(inner_types, new_inner_types): (narrowed_inner_type, inner_rest_type) = ( self.chk.conditional_types_with_intersection( inner_type, [get_type_range(new_inner_type)], o, default=inner_type ) ) narrowed_inner_types.append(narrowed_inner_type) inner_rest_types.append(inner_rest_type) if all(not is_uninhabited(typ) for typ in narrowed_inner_types): new_type = TupleType(narrowed_inner_types, current_type.partial_fallback) else: new_type = UninhabitedType() if all(is_uninhabited(typ) for typ in inner_rest_types): # All subpatterns always match, so we can apply negative narrowing rest_type = TupleType(rest_inner_types, current_type.partial_fallback) elif sum(not is_uninhabited(typ) for typ in inner_rest_types) == 1: # Exactly one subpattern may conditionally match, the rest always match. # We can apply negative narrowing to this one position. rest_type = TupleType( [ curr if is_uninhabited(rest) else rest for curr, rest in zip(inner_types, inner_rest_types) ], current_type.partial_fallback, ) elif isinstance(current_type, TupleType): # For variadic tuples it is too tricky to match individual items like for fixed # tuples, so we instead try to narrow the entire type. # TODO: use more precise narrowing when possible (e.g. for identical shapes). new_tuple_type = TupleType(new_inner_types, current_type.partial_fallback) new_type, rest_type = self.chk.conditional_types_with_intersection( new_tuple_type, [get_type_range(current_type)], o, default=new_tuple_type ) else: new_inner_type = UninhabitedType() for typ in new_inner_types: new_inner_type = join_types(new_inner_type, typ) if isinstance(current_type, TypeVarType): new_bound = self.narrow_sequence_child(current_type.upper_bound, new_inner_type, o) new_type = current_type.copy_modified(upper_bound=new_bound) else: new_type = self.narrow_sequence_child(current_type, new_inner_type, o) return PatternType(new_type, rest_type, captures) def get_sequence_type(self, t: Type, context: Context) -> Type | None: t = get_proper_type(t) if isinstance(t, AnyType): return AnyType(TypeOfAny.from_another_any, t) if isinstance(t, UnionType): items = [self.get_sequence_type(item, context) for item in t.items] not_none_items = [item for item in items if item is not None] if not_none_items: return make_simplified_union(not_none_items) else: return None if self.chk.type_is_iterable(t) and isinstance(t, (Instance, TupleType)): if isinstance(t, TupleType): t = tuple_fallback(t) return self.chk.iterable_item_type(t, context) else: return None def contract_starred_pattern_types( self, types: list[Type], star_pos: int | None, num_patterns: int ) -> list[Type]: """ Contracts a list of types in a sequence pattern depending on the position of a starred capture pattern. For example if the sequence pattern [a, *b, c] is matched against types [bool, int, str, bytes] the contracted types are [bool, Union[int, str], bytes]. If star_pos in None the types are returned unchanged. """ unpack_index = find_unpack_in_list(types) if unpack_index is not None: # Variadic tuples require "re-shaping" to match the requested pattern. unpack = types[unpack_index] assert isinstance(unpack, UnpackType) unpacked = get_proper_type(unpack.type) # This should be guaranteed by the normalization in the caller. assert isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" if star_pos is None: missing = num_patterns - len(types) + 1 new_types = types[:unpack_index] new_types += [unpacked.args[0]] * missing new_types += types[unpack_index + 1 :] return new_types prefix, middle, suffix = split_with_prefix_and_suffix( tuple([UnpackType(unpacked) if isinstance(t, UnpackType) else t for t in types]), star_pos, num_patterns - star_pos, ) new_middle = [] for m in middle: # The existing code expects the star item type, rather than the type of # the whole tuple "slice". if isinstance(m, UnpackType): new_middle.append(unpacked.args[0]) else: new_middle.append(m) return list(prefix) + [make_simplified_union(new_middle)] + list(suffix) else: if star_pos is None: return types new_types = types[:star_pos] star_length = len(types) - num_patterns new_types.append(make_simplified_union(types[star_pos : star_pos + star_length])) new_types += types[star_pos + star_length :] return new_types def expand_starred_pattern_types( self, types: list[Type], star_pos: int | None, num_types: int, original_unpack: bool ) -> list[Type]: """Undoes the contraction done by contract_starred_pattern_types. For example if the sequence pattern is [a, *b, c] and types [bool, int, str] are extended to length 4 the result is [bool, int, int, str]. """ if star_pos is None: return types if original_unpack: # In the case where original tuple type has an unpack item, it is not practical # to coerce pattern type back to the original shape (and may not even be possible), # so we only restore the type of the star item. res = [] for i, t in enumerate(types): if i != star_pos: res.append(t) else: res.append(UnpackType(self.chk.named_generic_type("builtins.tuple", [t]))) return res new_types = types[:star_pos] star_length = num_types - len(types) + 1 new_types += [types[star_pos]] * star_length new_types += types[star_pos + 1 :] return new_types def narrow_sequence_child(self, outer_type: Type, inner_type: Type, ctx: Context) -> Type: new_type = self.construct_sequence_child(outer_type, inner_type) if is_subtype(new_type, outer_type): new_type, _ = self.chk.conditional_types_with_intersection( outer_type, [get_type_range(new_type)], ctx, default=outer_type ) else: new_type = outer_type return new_type def visit_starred_pattern(self, o: StarredPattern) -> PatternType: captures: dict[Expression, Type] = {} if o.capture is not None: list_type = self.chk.named_generic_type("builtins.list", [self.type_context[-1]]) captures[o.capture] = list_type return PatternType(self.type_context[-1], UninhabitedType(), captures) def visit_mapping_pattern(self, o: MappingPattern) -> PatternType: current_type = get_proper_type(self.type_context[-1]) can_match = True captures: dict[Expression, Type] = {} for key, value in zip(o.keys, o.values): inner_type = self.get_mapping_item_type(o, current_type, key) if inner_type is None: can_match = False inner_type = self.chk.named_type("builtins.object") pattern_type = self.accept(value, inner_type) if is_uninhabited(pattern_type.type): can_match = False else: self.update_type_map(captures, pattern_type.captures) if o.rest is not None: mapping = self.chk.named_type("typing.Mapping") if is_subtype(current_type, mapping) and isinstance(current_type, Instance): mapping_inst = map_instance_to_supertype(current_type, mapping.type) dict_typeinfo = self.chk.lookup_typeinfo("builtins.dict") rest_type = Instance(dict_typeinfo, mapping_inst.args) else: object_type = self.chk.named_type("builtins.object") rest_type = self.chk.named_generic_type( "builtins.dict", [object_type, object_type] ) captures[o.rest] = rest_type if can_match: # We can't narrow the type here, as Mapping key is invariant. new_type = self.type_context[-1] else: new_type = UninhabitedType() return PatternType(new_type, current_type, captures) def get_mapping_item_type( self, pattern: MappingPattern, mapping_type: Type, key: Expression ) -> Type | None: mapping_type = get_proper_type(mapping_type) if isinstance(mapping_type, TypedDictType): with self.msg.filter_errors() as local_errors: result: Type | None = self.chk.expr_checker.visit_typeddict_index_expr( mapping_type, key )[0] has_local_errors = local_errors.has_new_errors() # If we can't determine the type statically fall back to treating it as a normal # mapping if has_local_errors: with self.msg.filter_errors() as local_errors: result = self.get_simple_mapping_item_type(pattern, mapping_type, key) if local_errors.has_new_errors(): result = None else: with self.msg.filter_errors(): result = self.get_simple_mapping_item_type(pattern, mapping_type, key) return result def get_simple_mapping_item_type( self, pattern: MappingPattern, mapping_type: Type, key: Expression ) -> Type: result, _ = self.chk.expr_checker.check_method_call_by_name( "__getitem__", mapping_type, [key], [ARG_POS], pattern ) return result def visit_class_pattern(self, o: ClassPattern) -> PatternType: current_type = get_proper_type(self.type_context[-1]) # # Check class type # type_info = o.class_ref.node typ = self.chk.expr_checker.accept(o.class_ref) p_typ = get_proper_type(typ) if isinstance(type_info, TypeAlias) and not type_info.no_args: self.msg.fail(message_registry.CLASS_PATTERN_GENERIC_TYPE_ALIAS, o) return self.early_non_match() elif isinstance(p_typ, FunctionLike) and p_typ.is_type_obj(): typ = fill_typevars_with_any(p_typ.type_object()) elif ( isinstance(type_info, Var) and type_info.type is not None and type_info.fullname == "typing.Callable" ): # Create a `Callable[..., Any]` fallback = self.chk.named_type("builtins.function") any_type = AnyType(TypeOfAny.unannotated) typ = callable_with_ellipsis(any_type, ret_type=any_type, fallback=fallback) elif not isinstance(p_typ, AnyType): self.msg.fail( message_registry.CLASS_PATTERN_TYPE_REQUIRED.format( typ.str_with_options(self.options) ), o, ) return self.early_non_match() new_type, rest_type = self.chk.conditional_types_with_intersection( current_type, [get_type_range(typ)], o, default=current_type ) if is_uninhabited(new_type): return self.early_non_match() # TODO: Do I need this? narrowed_type = narrow_declared_type(current_type, new_type) # # Convert positional to keyword patterns # keyword_pairs: list[tuple[str | None, Pattern]] = [] match_arg_set: set[str] = set() captures: dict[Expression, Type] = {} if len(o.positionals) != 0: if self.should_self_match(typ): if len(o.positionals) > 1: self.msg.fail(message_registry.CLASS_PATTERN_TOO_MANY_POSITIONAL_ARGS, o) pattern_type = self.accept(o.positionals[0], narrowed_type) if not is_uninhabited(pattern_type.type): return PatternType( pattern_type.type, join_types(rest_type, pattern_type.rest_type), pattern_type.captures, ) captures = pattern_type.captures else: with self.msg.filter_errors() as local_errors: match_args_type = analyze_member_access( "__match_args__", typ, o, is_lvalue=False, is_super=False, is_operator=False, original_type=typ, chk=self.chk, ) has_local_errors = local_errors.has_new_errors() if has_local_errors: self.msg.fail( message_registry.MISSING_MATCH_ARGS.format( typ.str_with_options(self.options) ), o, ) return self.early_non_match() proper_match_args_type = get_proper_type(match_args_type) if isinstance(proper_match_args_type, TupleType): match_arg_names = get_match_arg_names(proper_match_args_type) if len(o.positionals) > len(match_arg_names): self.msg.fail(message_registry.CLASS_PATTERN_TOO_MANY_POSITIONAL_ARGS, o) return self.early_non_match() else: match_arg_names = [None] * len(o.positionals) for arg_name, pos in zip(match_arg_names, o.positionals): keyword_pairs.append((arg_name, pos)) if arg_name is not None: match_arg_set.add(arg_name) # # Check for duplicate patterns # keyword_arg_set = set() has_duplicates = False for key, value in zip(o.keyword_keys, o.keyword_values): keyword_pairs.append((key, value)) if key in match_arg_set: self.msg.fail( message_registry.CLASS_PATTERN_KEYWORD_MATCHES_POSITIONAL.format(key), value ) has_duplicates = True elif key in keyword_arg_set: self.msg.fail( message_registry.CLASS_PATTERN_DUPLICATE_KEYWORD_PATTERN.format(key), value ) has_duplicates = True keyword_arg_set.add(key) if has_duplicates: return self.early_non_match() # # Check keyword patterns # can_match = True for keyword, pattern in keyword_pairs: key_type: Type | None = None with self.msg.filter_errors() as local_errors: if keyword is not None: key_type = analyze_member_access( keyword, narrowed_type, pattern, is_lvalue=False, is_super=False, is_operator=False, original_type=new_type, chk=self.chk, ) else: key_type = AnyType(TypeOfAny.from_error) has_local_errors = local_errors.has_new_errors() if has_local_errors or key_type is None: key_type = AnyType(TypeOfAny.from_error) if not (type_info and type_info.fullname == "builtins.object"): self.msg.fail( message_registry.CLASS_PATTERN_UNKNOWN_KEYWORD.format( typ.str_with_options(self.options), keyword ), pattern, ) elif keyword is not None: new_type = self.chk.add_any_attribute_to_type(new_type, keyword) inner_type, inner_rest_type, inner_captures = self.accept(pattern, key_type) if is_uninhabited(inner_type): can_match = False else: self.update_type_map(captures, inner_captures) if not is_uninhabited(inner_rest_type): rest_type = current_type if not can_match: new_type = UninhabitedType() return PatternType(new_type, rest_type, captures) def should_self_match(self, typ: Type) -> bool: typ = get_proper_type(typ) if isinstance(typ, TupleType): typ = typ.partial_fallback if isinstance(typ, AnyType): return False if isinstance(typ, Instance) and typ.type.get("__match_args__") is not None: # Named tuples and other subtypes of builtins that define __match_args__ # should not self match. return False for other in self.self_match_types: if is_subtype(typ, other): return True return False def can_match_sequence(self, typ: ProperType) -> bool: if isinstance(typ, AnyType): return True if isinstance(typ, UnionType): return any(self.can_match_sequence(get_proper_type(item)) for item in typ.items) for other in self.non_sequence_match_types: # We have to ignore promotions, as memoryview should match, but bytes, # which it can be promoted to, shouldn't if is_subtype(typ, other, ignore_promotions=True): return False sequence = self.chk.named_type("typing.Sequence") # If the static type is more general than sequence the actual type could still match return is_subtype(typ, sequence) or is_subtype(sequence, typ) def generate_types_from_names(self, type_names: list[str]) -> list[Type]: types: list[Type] = [] for name in type_names: try: types.append(self.chk.named_type(name)) except KeyError as e: # Some built in types are not defined in all test cases if not name.startswith("builtins."): raise e return types def update_type_map( self, original_type_map: dict[Expression, Type], extra_type_map: dict[Expression, Type] ) -> None: # Calculating this would not be needed if TypeMap directly used literal hashes instead of # expressions, as suggested in the TODO above it's definition already_captured = {literal_hash(expr) for expr in original_type_map} for expr, typ in extra_type_map.items(): if literal_hash(expr) in already_captured: node = get_var(expr) self.msg.fail( message_registry.MULTIPLE_ASSIGNMENTS_IN_PATTERN.format(node.name), expr ) else: original_type_map[expr] = typ def construct_sequence_child(self, outer_type: Type, inner_type: Type) -> Type: """ If outer_type is a child class of typing.Sequence returns a new instance of outer_type, that is a Sequence of inner_type. If outer_type is not a child class of typing.Sequence just returns a Sequence of inner_type For example: construct_sequence_child(List[int], str) = List[str] TODO: this doesn't make sense. For example if one has class S(Sequence[int], Generic[T]) or class T(Sequence[Tuple[T, T]]), there is no way any of those can map to Sequence[str]. """ proper_type = get_proper_type(outer_type) if isinstance(proper_type, AnyType): return outer_type if isinstance(proper_type, UnionType): types = [ self.construct_sequence_child(item, inner_type) for item in proper_type.items if self.can_match_sequence(get_proper_type(item)) ] return make_simplified_union(types) sequence = self.chk.named_generic_type("typing.Sequence", [inner_type]) if is_subtype(outer_type, self.chk.named_type("typing.Sequence")): if isinstance(proper_type, TupleType): proper_type = tuple_fallback(proper_type) assert isinstance(proper_type, Instance) empty_type = fill_typevars(proper_type.type) partial_type = expand_type_by_instance(empty_type, sequence) return expand_type_by_instance(partial_type, proper_type) else: return sequence def early_non_match(self) -> PatternType: return PatternType(UninhabitedType(), self.type_context[-1], {}) def get_match_arg_names(typ: TupleType) -> list[str | None]: args: list[str | None] = [] for item in typ.items: values = try_getting_str_literals_from_type(item) if values is None or len(values) != 1: args.append(None) else: args.append(values[0]) return args def get_var(expr: Expression) -> Var: """ Warning: this in only true for expressions captured by a match statement. Don't call it from anywhere else """ assert isinstance(expr, NameExpr), expr node = expr.node assert isinstance(node, Var), node return node def get_type_range(typ: Type) -> TypeRange: typ = get_proper_type(typ) if ( isinstance(typ, Instance) and typ.last_known_value and isinstance(typ.last_known_value.value, bool) ): typ = typ.last_known_value return TypeRange(typ, is_upper_bound=False) def is_uninhabited(typ: Type) -> bool: return isinstance(get_proper_type(typ), UninhabitedType) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/checkstrformat.py0000644000175100017510000013170615112307767016656 0ustar00runnerrunner""" Format expression type checker. This file is conceptually part of ExpressionChecker and TypeChecker. Main functionality is located in StringFormatterChecker.check_str_format_call() for '{}'.format(), and in StringFormatterChecker.check_str_interpolation() for printf-style % interpolation. Note that although at runtime format strings are parsed using custom parsers, here we use a regexp-based approach. This way we 99% match runtime behaviour while keeping implementation simple. """ from __future__ import annotations import re from re import Match, Pattern from typing import Callable, Final, Union, cast from typing_extensions import TypeAlias as _TypeAlias import mypy.errorcodes as codes from mypy import message_registry from mypy.checker_shared import TypeCheckerSharedApi from mypy.errors import Errors from mypy.maptype import map_instance_to_supertype from mypy.messages import MessageBuilder from mypy.nodes import ( ARG_NAMED, ARG_POS, ARG_STAR, ARG_STAR2, BytesExpr, CallExpr, Context, DictExpr, Expression, ExpressionStmt, IndexExpr, IntExpr, MemberExpr, MypyFile, NameExpr, Node, StarExpr, StrExpr, TempNode, TupleExpr, ) from mypy.parse import parse from mypy.subtypes import is_subtype from mypy.typeops import custom_special_method from mypy.types import ( AnyType, Instance, LiteralType, TupleType, Type, TypeOfAny, TypeVarTupleType, TypeVarType, UnionType, UnpackType, find_unpack_in_list, get_proper_type, get_proper_types, ) FormatStringExpr: _TypeAlias = Union[StrExpr, BytesExpr] Checkers: _TypeAlias = tuple[Callable[[Expression], None], Callable[[Type], bool]] MatchMap: _TypeAlias = dict[tuple[int, int], Match[str]] # span -> match def compile_format_re() -> Pattern[str]: """Construct regexp to match format conversion specifiers in % interpolation. See https://docs.python.org/3/library/stdtypes.html#printf-style-string-formatting The regexp is intentionally a bit wider to report better errors. """ key_re = r"(\((?P[^)]*)\))?" # (optional) parenthesised sequence of characters. flags_re = r"(?P[#0\-+ ]*)" # (optional) sequence of flags. width_re = r"(?P[1-9][0-9]*|\*)?" # (optional) minimum field width (* or numbers). precision_re = r"(?:\.(?P\*|[0-9]+)?)?" # (optional) . followed by * of numbers. length_mod_re = r"[hlL]?" # (optional) length modifier (unused). type_re = r"(?P.)?" # conversion type. format_re = "%" + key_re + flags_re + width_re + precision_re + length_mod_re + type_re return re.compile(format_re) def compile_new_format_re(custom_spec: bool) -> Pattern[str]: """Construct regexps to match format conversion specifiers in str.format() calls. See After https://docs.python.org/3/library/string.html#formatspec for specifications. The regexps are intentionally wider, to report better errors, instead of just not matching. """ # Field (optional) is an integer/identifier possibly followed by several .attr and [index]. field = r"(?P(?P[^.[!:]*)([^:!]+)?)" # Conversion (optional) is ! followed by one of letters for forced repr(), str(), or ascii(). conversion = r"(?P![^:])?" # Format specification (optional) follows its own mini-language: if not custom_spec: # Fill and align is valid for all builtin types. fill_align = r"(?P.?[<>=^])?" # Number formatting options are only valid for int, float, complex, and Decimal, # except if only width is given (it is valid for all types). # This contains sign, flags (sign, # and/or 0), width, grouping (_ or ,) and precision. num_spec = r"(?P[+\- ]?#?0?)(?P\d+)?[_,]?(?P\.\d+)?" # The last element is type. conv_type = r"(?P.)?" # only some are supported, but we want to give a better error format_spec = r"(?P:" + fill_align + num_spec + conv_type + r")?" else: # Custom types can define their own form_spec using __format__(). format_spec = r"(?P:.*)?" return re.compile(field + conversion + format_spec) FORMAT_RE: Final = compile_format_re() FORMAT_RE_NEW: Final = compile_new_format_re(False) FORMAT_RE_NEW_CUSTOM: Final = compile_new_format_re(True) DUMMY_FIELD_NAME: Final = "__dummy_name__" # Types that require either int or float. NUMERIC_TYPES_OLD: Final = {"d", "i", "o", "u", "x", "X", "e", "E", "f", "F", "g", "G"} NUMERIC_TYPES_NEW: Final = {"b", "d", "o", "e", "E", "f", "F", "g", "G", "n", "x", "X", "%"} # These types accept _only_ int. REQUIRE_INT_OLD: Final = {"o", "x", "X"} REQUIRE_INT_NEW: Final = {"b", "d", "o", "x", "X"} # These types fall back to SupportsFloat with % (other fall back to SupportsInt) FLOAT_TYPES: Final = {"e", "E", "f", "F", "g", "G"} class ConversionSpecifier: def __init__( self, match: Match[str], start_pos: int = -1, non_standard_format_spec: bool = False ) -> None: self.whole_seq = match.group() self.start_pos = start_pos m_dict = match.groupdict() self.key = m_dict.get("key") # Replace unmatched optional groups with empty matches (for convenience). self.conv_type = m_dict.get("type", "") self.flags = m_dict.get("flags", "") self.width = m_dict.get("width", "") self.precision = m_dict.get("precision", "") # Used only for str.format() calls (it may be custom for types with __format__()). self.format_spec = m_dict.get("format_spec") self.non_standard_format_spec = non_standard_format_spec # Used only for str.format() calls. self.conversion = m_dict.get("conversion") # Full formatted expression (i.e. key plus following attributes and/or indexes). # Used only for str.format() calls. self.field = m_dict.get("field") def has_key(self) -> bool: return self.key is not None def has_star(self) -> bool: return self.width == "*" or self.precision == "*" def parse_conversion_specifiers(format_str: str) -> list[ConversionSpecifier]: """Parse c-printf-style format string into list of conversion specifiers.""" specifiers: list[ConversionSpecifier] = [] for m in re.finditer(FORMAT_RE, format_str): specifiers.append(ConversionSpecifier(m, start_pos=m.start())) return specifiers def parse_format_value( format_value: str, ctx: Context, msg: MessageBuilder, nested: bool = False ) -> list[ConversionSpecifier] | None: """Parse format string into list of conversion specifiers. The specifiers may be nested (two levels maximum), in this case they are ordered as '{0:{1}}, {2:{3}{4}}'. Return None in case of an error. """ top_targets = find_non_escaped_targets(format_value, ctx, msg) if top_targets is None: return None result: list[ConversionSpecifier] = [] for target, start_pos in top_targets: match = FORMAT_RE_NEW.fullmatch(target) if match: conv_spec = ConversionSpecifier(match, start_pos=start_pos) else: custom_match = FORMAT_RE_NEW_CUSTOM.fullmatch(target) if custom_match: conv_spec = ConversionSpecifier( custom_match, start_pos=start_pos, non_standard_format_spec=True ) else: msg.fail( "Invalid conversion specifier in format string", ctx, code=codes.STRING_FORMATTING, ) return None if conv_spec.key and ("{" in conv_spec.key or "}" in conv_spec.key): msg.fail("Conversion value must not contain { or }", ctx, code=codes.STRING_FORMATTING) return None result.append(conv_spec) # Parse nested conversions that are allowed in format specifier. if ( conv_spec.format_spec and conv_spec.non_standard_format_spec and ("{" in conv_spec.format_spec or "}" in conv_spec.format_spec) ): if nested: msg.fail( "Formatting nesting must be at most two levels deep", ctx, code=codes.STRING_FORMATTING, ) return None sub_conv_specs = parse_format_value(conv_spec.format_spec, ctx, msg, nested=True) if sub_conv_specs is None: return None result.extend(sub_conv_specs) return result def find_non_escaped_targets( format_value: str, ctx: Context, msg: MessageBuilder ) -> list[tuple[str, int]] | None: """Return list of raw (un-parsed) format specifiers in format string. Format specifiers don't include enclosing braces. We don't use regexp for this because they don't work well with nested/repeated patterns (both greedy and non-greedy), and these are heavily used internally for representation of f-strings. Return None in case of an error. """ result = [] next_spec = "" pos = 0 nesting = 0 while pos < len(format_value): c = format_value[pos] if not nesting: # Skip any paired '{{' and '}}', enter nesting on '{', report error on '}'. if c == "{": if pos < len(format_value) - 1 and format_value[pos + 1] == "{": pos += 1 else: nesting = 1 if c == "}": if pos < len(format_value) - 1 and format_value[pos + 1] == "}": pos += 1 else: msg.fail( "Invalid conversion specifier in format string: unexpected }", ctx, code=codes.STRING_FORMATTING, ) return None else: # Adjust nesting level, then either continue adding chars or move on. if c == "{": nesting += 1 if c == "}": nesting -= 1 if nesting: next_spec += c else: result.append((next_spec, pos - len(next_spec))) next_spec = "" pos += 1 if nesting: msg.fail( "Invalid conversion specifier in format string: unmatched {", ctx, code=codes.STRING_FORMATTING, ) return None return result class StringFormatterChecker: """String interpolation/formatter type checker. This class works closely together with checker.ExpressionChecker. """ # Some services are provided by a TypeChecker instance. chk: TypeCheckerSharedApi # This is shared with TypeChecker, but stored also here for convenience. msg: MessageBuilder def __init__(self, chk: TypeCheckerSharedApi, msg: MessageBuilder) -> None: """Construct an expression type checker.""" self.chk = chk self.msg = msg def check_str_format_call(self, call: CallExpr, format_value: str) -> None: """Perform more precise checks for str.format() calls when possible. Currently the checks are performed for: * Actual string literals * Literal types with string values * Final names with string values The checks that we currently perform: * Check generic validity (e.g. unmatched { or }, and {} in invalid positions) * Check consistency of specifiers' auto-numbering * Verify that replacements can be found for all conversion specifiers, and all arguments were used * Non-standard format specs are only allowed for types with custom __format__ * Type check replacements with accessors applied (if any). * Verify that specifier type is known and matches replacement type * Perform special checks for some specifier types: - 'c' requires a single character string - 's' must not accept bytes - non-empty flags are only allowed for numeric types """ conv_specs = parse_format_value(format_value, call, self.msg) if conv_specs is None: return if not self.auto_generate_keys(conv_specs, call): return self.check_specs_in_format_call(call, conv_specs, format_value) def check_specs_in_format_call( self, call: CallExpr, specs: list[ConversionSpecifier], format_value: str ) -> None: """Perform pairwise checks for conversion specifiers vs their replacements. The core logic for format checking is implemented in this method. """ assert all(s.key for s in specs), "Keys must be auto-generated first!" replacements = self.find_replacements_in_call(call, [cast(str, s.key) for s in specs]) assert len(replacements) == len(specs) for spec, repl in zip(specs, replacements): repl = self.apply_field_accessors(spec, repl, ctx=call) actual_type = repl.type if isinstance(repl, TempNode) else self.chk.lookup_type(repl) assert actual_type is not None # Special case custom formatting. if ( spec.format_spec and spec.non_standard_format_spec and # Exclude "dynamic" specifiers (i.e. containing nested formatting). not ("{" in spec.format_spec or "}" in spec.format_spec) ): if ( not custom_special_method(actual_type, "__format__", check_all=True) or spec.conversion ): # TODO: add support for some custom specs like datetime? self.msg.fail( f'Unrecognized format specification "{spec.format_spec[1:]}"', call, code=codes.STRING_FORMATTING, ) continue # Adjust expected and actual types. if not spec.conv_type: expected_type: Type | None = AnyType(TypeOfAny.special_form) else: assert isinstance(call.callee, MemberExpr) if isinstance(call.callee.expr, StrExpr): format_str = call.callee.expr else: format_str = StrExpr(format_value) expected_type = self.conversion_type( spec.conv_type, call, format_str, format_call=True ) if spec.conversion is not None: # If the explicit conversion is given, then explicit conversion is called _first_. if spec.conversion[1] not in "rsa": self.msg.fail( ( f'Invalid conversion type "{spec.conversion[1]}", ' f'must be one of "r", "s" or "a"' ), call, code=codes.STRING_FORMATTING, ) actual_type = self.named_type("builtins.str") # Perform the checks for given types. if expected_type is None: continue a_type = get_proper_type(actual_type) actual_items = ( get_proper_types(a_type.items) if isinstance(a_type, UnionType) else [a_type] ) for a_type in actual_items: if custom_special_method(a_type, "__format__"): continue self.check_placeholder_type(a_type, expected_type, call) self.perform_special_format_checks(spec, call, repl, a_type, expected_type) def perform_special_format_checks( self, spec: ConversionSpecifier, call: CallExpr, repl: Expression, actual_type: Type, expected_type: Type, ) -> None: # TODO: try refactoring to combine this logic with % formatting. if spec.conv_type == "c": if isinstance(repl, (StrExpr, BytesExpr)) and len(repl.value) != 1: self.msg.requires_int_or_char(call, format_call=True) c_typ = get_proper_type(self.chk.lookup_type(repl)) if isinstance(c_typ, Instance) and c_typ.last_known_value: c_typ = c_typ.last_known_value if isinstance(c_typ, LiteralType) and isinstance(c_typ.value, str): if len(c_typ.value) != 1: self.msg.requires_int_or_char(call, format_call=True) if (not spec.conv_type or spec.conv_type == "s") and not spec.conversion: if has_type_component(actual_type, "builtins.bytes") and not custom_special_method( actual_type, "__str__" ): self.msg.fail( 'If x = b\'abc\' then f"{x}" or "{}".format(x) produces "b\'abc\'", ' 'not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). ' "Otherwise, decode the bytes", call, code=codes.STR_BYTES_PY3, ) if spec.flags: numeric_types = UnionType( [self.named_type("builtins.int"), self.named_type("builtins.float")] ) if ( spec.conv_type and spec.conv_type not in NUMERIC_TYPES_NEW or not spec.conv_type and not is_subtype(actual_type, numeric_types) and not custom_special_method(actual_type, "__format__") ): self.msg.fail( "Numeric flags are only allowed for numeric types", call, code=codes.STRING_FORMATTING, ) def find_replacements_in_call(self, call: CallExpr, keys: list[str]) -> list[Expression]: """Find replacement expression for every specifier in str.format() call. In case of an error use TempNode(AnyType). """ result: list[Expression] = [] used: set[Expression] = set() for key in keys: if key.isdecimal(): expr = self.get_expr_by_position(int(key), call) if not expr: self.msg.fail( f"Cannot find replacement for positional format specifier {key}", call, code=codes.STRING_FORMATTING, ) expr = TempNode(AnyType(TypeOfAny.from_error)) else: expr = self.get_expr_by_name(key, call) if not expr: self.msg.fail( f'Cannot find replacement for named format specifier "{key}"', call, code=codes.STRING_FORMATTING, ) expr = TempNode(AnyType(TypeOfAny.from_error)) result.append(expr) if not isinstance(expr, TempNode): used.add(expr) # Strictly speaking not using all replacements is not a type error, but most likely # a typo in user code, so we show an error like we do for % formatting. total_explicit = len([kind for kind in call.arg_kinds if kind in (ARG_POS, ARG_NAMED)]) if len(used) < total_explicit: self.msg.too_many_string_formatting_arguments(call) return result def get_expr_by_position(self, pos: int, call: CallExpr) -> Expression | None: """Get positional replacement expression from '{0}, {1}'.format(x, y, ...) call. If the type is from *args, return TempNode(). Return None in case of an error. """ pos_args = [arg for arg, kind in zip(call.args, call.arg_kinds) if kind == ARG_POS] if pos < len(pos_args): return pos_args[pos] star_args = [arg for arg, kind in zip(call.args, call.arg_kinds) if kind == ARG_STAR] if not star_args: return None # Fall back to *args when present in call. star_arg = star_args[0] varargs_type = get_proper_type(self.chk.lookup_type(star_arg)) if not isinstance(varargs_type, Instance) or not varargs_type.type.has_base( "typing.Sequence" ): # Error should be already reported. return TempNode(AnyType(TypeOfAny.special_form)) iter_info = self.chk.named_generic_type( "typing.Sequence", [AnyType(TypeOfAny.special_form)] ).type return TempNode(map_instance_to_supertype(varargs_type, iter_info).args[0]) def get_expr_by_name(self, key: str, call: CallExpr) -> Expression | None: """Get named replacement expression from '{name}'.format(name=...) call. If the type is from **kwargs, return TempNode(). Return None in case of an error. """ named_args = [ arg for arg, kind, name in zip(call.args, call.arg_kinds, call.arg_names) if kind == ARG_NAMED and name == key ] if named_args: return named_args[0] star_args_2 = [arg for arg, kind in zip(call.args, call.arg_kinds) if kind == ARG_STAR2] if not star_args_2: return None star_arg_2 = star_args_2[0] kwargs_type = get_proper_type(self.chk.lookup_type(star_arg_2)) if not isinstance(kwargs_type, Instance) or not kwargs_type.type.has_base( "typing.Mapping" ): # Error should be already reported. return TempNode(AnyType(TypeOfAny.special_form)) any_type = AnyType(TypeOfAny.special_form) mapping_info = self.chk.named_generic_type("typing.Mapping", [any_type, any_type]).type return TempNode(map_instance_to_supertype(kwargs_type, mapping_info).args[1]) def auto_generate_keys(self, all_specs: list[ConversionSpecifier], ctx: Context) -> bool: """Translate '{} {name} {}' to '{0} {name} {1}'. Return True if generation was successful, otherwise report an error and return false. """ some_defined = any(s.key and s.key.isdecimal() for s in all_specs) all_defined = all(bool(s.key) for s in all_specs) if some_defined and not all_defined: self.msg.fail( "Cannot combine automatic field numbering and manual field specification", ctx, code=codes.STRING_FORMATTING, ) return False if all_defined: return True next_index = 0 for spec in all_specs: if not spec.key: str_index = str(next_index) spec.key = str_index # Update also the full field (i.e. turn {.x} into {0.x}). if not spec.field: spec.field = str_index else: spec.field = str_index + spec.field next_index += 1 return True def apply_field_accessors( self, spec: ConversionSpecifier, repl: Expression, ctx: Context ) -> Expression: """Transform and validate expr in '{.attr[item]}'.format(expr) into expr.attr['item']. If validation fails, return TempNode(AnyType). """ assert spec.key, "Keys must be auto-generated first!" if spec.field == spec.key: return repl assert spec.field temp_errors = Errors(self.chk.options) dummy = DUMMY_FIELD_NAME + spec.field[len(spec.key) :] temp_ast: Node = parse( dummy, fnam="", module=None, options=self.chk.options, errors=temp_errors ) if temp_errors.is_errors(): self.msg.fail( f'Syntax error in format specifier "{spec.field}"', ctx, code=codes.STRING_FORMATTING, ) return TempNode(AnyType(TypeOfAny.from_error)) # These asserts are guaranteed by the original regexp. assert isinstance(temp_ast, MypyFile) temp_ast = temp_ast.defs[0] assert isinstance(temp_ast, ExpressionStmt) temp_ast = temp_ast.expr if not self.validate_and_transform_accessors(temp_ast, repl, spec, ctx=ctx): return TempNode(AnyType(TypeOfAny.from_error)) # Check if there are any other errors (like missing members). # TODO: fix column to point to actual start of the format specifier _within_ string. temp_ast.line = ctx.line temp_ast.column = ctx.column self.chk.expr_checker.accept(temp_ast) return temp_ast def validate_and_transform_accessors( self, temp_ast: Expression, original_repl: Expression, spec: ConversionSpecifier, ctx: Context, ) -> bool: """Validate and transform (in-place) format field accessors. On error, report it and return False. The transformations include replacing the dummy variable with actual replacement expression and translating any name expressions in an index into strings, so that this will work: class User(TypedDict): name: str id: int u: User '{[id]:d} -> {[name]}'.format(u) """ if not isinstance(temp_ast, (MemberExpr, IndexExpr)): self.msg.fail( "Only index and member expressions are allowed in" ' format field accessors; got "{}"'.format(spec.field), ctx, code=codes.STRING_FORMATTING, ) return False if isinstance(temp_ast, MemberExpr): node = temp_ast.expr else: node = temp_ast.base if not isinstance(temp_ast.index, (NameExpr, IntExpr)): assert spec.key, "Call this method only after auto-generating keys!" assert spec.field self.msg.fail( 'Invalid index expression in format field accessor "{}"'.format( spec.field[len(spec.key) :] ), ctx, code=codes.STRING_FORMATTING, ) return False if isinstance(temp_ast.index, NameExpr): temp_ast.index = StrExpr(temp_ast.index.name) if isinstance(node, NameExpr) and node.name == DUMMY_FIELD_NAME: # Replace it with the actual replacement expression. assert isinstance(temp_ast, (IndexExpr, MemberExpr)) # XXX: this is redundant if isinstance(temp_ast, IndexExpr): temp_ast.base = original_repl else: temp_ast.expr = original_repl return True node.line = ctx.line node.column = ctx.column return self.validate_and_transform_accessors( node, original_repl=original_repl, spec=spec, ctx=ctx ) # TODO: In Python 3, the bytes formatting has a more restricted set of options # compared to string formatting. def check_str_interpolation(self, expr: FormatStringExpr, replacements: Expression) -> Type: """Check the types of the 'replacements' in a string interpolation expression: str % replacements. """ self.chk.expr_checker.accept(expr) specifiers = parse_conversion_specifiers(expr.value) has_mapping_keys = self.analyze_conversion_specifiers(specifiers, expr) if has_mapping_keys is None: pass # Error was reported elif has_mapping_keys: self.check_mapping_str_interpolation(specifiers, replacements, expr) else: self.check_simple_str_interpolation(specifiers, replacements, expr) if isinstance(expr, BytesExpr): return self.named_type("builtins.bytes") elif isinstance(expr, StrExpr): return self.named_type("builtins.str") else: assert False def analyze_conversion_specifiers( self, specifiers: list[ConversionSpecifier], context: Context ) -> bool | None: has_star = any(specifier.has_star() for specifier in specifiers) has_key = any(specifier.has_key() for specifier in specifiers) all_have_keys = all( specifier.has_key() or specifier.conv_type == "%" for specifier in specifiers ) if has_key and has_star: self.msg.string_interpolation_with_star_and_key(context) return None if has_key and not all_have_keys: self.msg.string_interpolation_mixing_key_and_non_keys(context) return None return has_key def check_simple_str_interpolation( self, specifiers: list[ConversionSpecifier], replacements: Expression, expr: FormatStringExpr, ) -> None: """Check % string interpolation with positional specifiers '%s, %d' % ('yes, 42').""" checkers = self.build_replacement_checkers(specifiers, replacements, expr) if checkers is None: return rhs_type = get_proper_type(self.accept(replacements)) rep_types: list[Type] = [] if isinstance(rhs_type, TupleType): rep_types = rhs_type.items unpack_index = find_unpack_in_list(rep_types) if unpack_index is not None: # TODO: we should probably warn about potentially short tuple. # However, without special-casing for tuple(f(i) for in other_tuple) # this causes false positive on mypy self-check in report.py. extras = max(0, len(checkers) - len(rep_types) + 1) unpacked = rep_types[unpack_index] assert isinstance(unpacked, UnpackType) unpacked = get_proper_type(unpacked.type) if isinstance(unpacked, TypeVarTupleType): unpacked = get_proper_type(unpacked.upper_bound) assert ( isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" ) unpack_items = [unpacked.args[0]] * extras rep_types = rep_types[:unpack_index] + unpack_items + rep_types[unpack_index + 1 :] elif isinstance(rhs_type, AnyType): return elif isinstance(rhs_type, Instance) and rhs_type.type.fullname == "builtins.tuple": # Assume that an arbitrary-length tuple has the right number of items. rep_types = [rhs_type.args[0]] * len(checkers) elif isinstance(rhs_type, UnionType): for typ in rhs_type.relevant_items(): temp_node = TempNode(typ) temp_node.line = replacements.line self.check_simple_str_interpolation(specifiers, temp_node, expr) return else: rep_types = [rhs_type] if len(checkers) > len(rep_types): # Only check the fix-length Tuple type. Other Iterable types would skip. if is_subtype(rhs_type, self.chk.named_type("typing.Iterable")) and not isinstance( rhs_type, TupleType ): return else: self.msg.too_few_string_formatting_arguments(replacements) elif len(checkers) < len(rep_types): self.msg.too_many_string_formatting_arguments(replacements) else: if len(checkers) == 1: check_node, check_type = checkers[0] if isinstance(rhs_type, TupleType) and len(rhs_type.items) == 1: check_type(rhs_type.items[0]) else: check_node(replacements) elif isinstance(replacements, TupleExpr) and not any( isinstance(item, StarExpr) for item in replacements.items ): for checks, rep_node in zip(checkers, replacements.items): check_node, check_type = checks check_node(rep_node) else: for checks, rep_type in zip(checkers, rep_types): check_node, check_type = checks check_type(rep_type) def check_mapping_str_interpolation( self, specifiers: list[ConversionSpecifier], replacements: Expression, expr: FormatStringExpr, ) -> None: """Check % string interpolation with names specifiers '%(name)s' % {'name': 'John'}.""" if isinstance(replacements, DictExpr) and all( isinstance(k, (StrExpr, BytesExpr)) for k, v in replacements.items ): mapping: dict[str, Type] = {} for k, v in replacements.items: if isinstance(expr, BytesExpr): # Special case: for bytes formatting keys must be bytes. if not isinstance(k, BytesExpr): self.msg.fail( "Dictionary keys in bytes formatting must be bytes, not strings", expr, code=codes.STRING_FORMATTING, ) key_str = cast(FormatStringExpr, k).value mapping[key_str] = self.accept(v) for specifier in specifiers: if specifier.conv_type == "%": # %% is allowed in mappings, no checking is required continue assert specifier.key is not None if specifier.key not in mapping: self.msg.key_not_in_mapping(specifier.key, replacements) return rep_type = mapping[specifier.key] assert specifier.conv_type is not None expected_type = self.conversion_type(specifier.conv_type, replacements, expr) if expected_type is None: return self.chk.check_subtype( rep_type, expected_type, replacements, message_registry.INCOMPATIBLE_TYPES_IN_STR_INTERPOLATION, "expression has type", f"placeholder with key '{specifier.key}' has type", code=codes.STRING_FORMATTING, ) if specifier.conv_type == "s": self.check_s_special_cases(expr, rep_type, expr) else: rep_type = self.accept(replacements) dict_type = self.build_dict_type(expr) self.chk.check_subtype( rep_type, dict_type, replacements, message_registry.FORMAT_REQUIRES_MAPPING, "expression has type", "expected type for mapping is", code=codes.STRING_FORMATTING, ) def build_dict_type(self, expr: FormatStringExpr) -> Type: """Build expected mapping type for right operand in % formatting.""" any_type = AnyType(TypeOfAny.special_form) if isinstance(expr, BytesExpr): bytes_type = self.chk.named_generic_type("builtins.bytes", []) return self.chk.named_generic_type( "_typeshed.SupportsKeysAndGetItem", [bytes_type, any_type] ) elif isinstance(expr, StrExpr): str_type = self.chk.named_generic_type("builtins.str", []) return self.chk.named_generic_type( "_typeshed.SupportsKeysAndGetItem", [str_type, any_type] ) else: assert False, "Unreachable" def build_replacement_checkers( self, specifiers: list[ConversionSpecifier], context: Context, expr: FormatStringExpr ) -> list[Checkers] | None: checkers: list[Checkers] = [] for specifier in specifiers: checker = self.replacement_checkers(specifier, context, expr) if checker is None: return None checkers.extend(checker) return checkers def replacement_checkers( self, specifier: ConversionSpecifier, context: Context, expr: FormatStringExpr ) -> list[Checkers] | None: """Returns a list of tuples of two functions that check whether a replacement is of the right type for the specifier. The first function takes a node and checks its type in the right type context. The second function just checks a type. """ checkers: list[Checkers] = [] if specifier.width == "*": checkers.append(self.checkers_for_star(context)) if specifier.precision == "*": checkers.append(self.checkers_for_star(context)) if specifier.conv_type == "c": c = self.checkers_for_c_type(specifier.conv_type, context, expr) if c is None: return None checkers.append(c) elif specifier.conv_type is not None and specifier.conv_type != "%": c = self.checkers_for_regular_type(specifier.conv_type, context, expr) if c is None: return None checkers.append(c) return checkers def checkers_for_star(self, context: Context) -> Checkers: """Returns a tuple of check functions that check whether, respectively, a node or a type is compatible with a star in a conversion specifier. """ expected = self.named_type("builtins.int") def check_type(type: Type) -> bool: expected = self.named_type("builtins.int") return self.chk.check_subtype( type, expected, context, "* wants int", code=codes.STRING_FORMATTING ) def check_expr(expr: Expression) -> None: type = self.accept(expr, expected) check_type(type) return check_expr, check_type def check_placeholder_type(self, typ: Type, expected_type: Type, context: Context) -> bool: return self.chk.check_subtype( typ, expected_type, context, message_registry.INCOMPATIBLE_TYPES_IN_STR_INTERPOLATION, "expression has type", "placeholder has type", code=codes.STRING_FORMATTING, ) def checkers_for_regular_type( self, conv_type: str, context: Context, expr: FormatStringExpr ) -> Checkers | None: """Returns a tuple of check functions that check whether, respectively, a node or a type is compatible with 'type'. Return None in case of an error. """ expected_type = self.conversion_type(conv_type, context, expr) if expected_type is None: return None def check_type(typ: Type) -> bool: assert expected_type is not None ret = self.check_placeholder_type(typ, expected_type, context) if ret and conv_type == "s": ret = self.check_s_special_cases(expr, typ, context) return ret def check_expr(expr: Expression) -> None: type = self.accept(expr, expected_type) check_type(type) return check_expr, check_type def check_s_special_cases(self, expr: FormatStringExpr, typ: Type, context: Context) -> bool: """Additional special cases for %s in bytes vs string context.""" if isinstance(expr, StrExpr): # Couple special cases for string formatting. if has_type_component(typ, "builtins.bytes"): self.msg.fail( 'If x = b\'abc\' then "%s" % x produces "b\'abc\'", not "abc". ' 'If this is desired behavior use "%r" % x. Otherwise, decode the bytes', context, code=codes.STR_BYTES_PY3, ) return False if isinstance(expr, BytesExpr): # A special case for bytes formatting: b'%s' actually requires bytes on Python 3. if has_type_component(typ, "builtins.str"): self.msg.fail( "On Python 3 b'%s' requires bytes, not string", context, code=codes.STRING_FORMATTING, ) return False return True def checkers_for_c_type( self, type: str, context: Context, format_expr: FormatStringExpr ) -> Checkers | None: """Returns a tuple of check functions that check whether, respectively, a node or a type is compatible with 'type' that is a character type. """ expected_type = self.conversion_type(type, context, format_expr) if expected_type is None: return None def check_type(type: Type) -> bool: assert expected_type is not None if isinstance(format_expr, BytesExpr): err_msg = '"%c" requires an integer in range(256) or a single byte' else: err_msg = '"%c" requires int or char' return self.chk.check_subtype( type, expected_type, context, err_msg, "expression has type", code=codes.STRING_FORMATTING, ) def check_expr(expr: Expression) -> None: """int, or str with length 1""" type = self.accept(expr, expected_type) # We need further check with expr to make sure that # it has exact one char or one single byte. if check_type(type): # Python 3 doesn't support b'%c' % str if ( isinstance(format_expr, BytesExpr) and isinstance(expr, BytesExpr) and len(expr.value) != 1 ): self.msg.requires_int_or_single_byte(context) elif isinstance(expr, (StrExpr, BytesExpr)) and len(expr.value) != 1: self.msg.requires_int_or_char(context) return check_expr, check_type def conversion_type( self, p: str, context: Context, expr: FormatStringExpr, format_call: bool = False ) -> Type | None: """Return the type that is accepted for a string interpolation conversion specifier type. Note that both Python's float (e.g. %f) and integer (e.g. %d) specifier types accept both float and integers. The 'format_call' argument indicates whether this type came from % interpolation or from a str.format() call, the meaning of few formatting types are different. """ NUMERIC_TYPES = NUMERIC_TYPES_NEW if format_call else NUMERIC_TYPES_OLD INT_TYPES = REQUIRE_INT_NEW if format_call else REQUIRE_INT_OLD if p == "b" and not format_call: if not isinstance(expr, BytesExpr): self.msg.fail( 'Format character "b" is only supported on bytes patterns', context, code=codes.STRING_FORMATTING, ) return None return self.named_type("builtins.bytes") elif p == "a": # TODO: return type object? return AnyType(TypeOfAny.special_form) elif p in ["s", "r"]: return AnyType(TypeOfAny.special_form) elif p in NUMERIC_TYPES: if p in INT_TYPES: numeric_types = [self.named_type("builtins.int")] else: numeric_types = [ self.named_type("builtins.int"), self.named_type("builtins.float"), ] if not format_call: if p in FLOAT_TYPES: numeric_types.append(self.named_type("typing.SupportsFloat")) else: numeric_types.append(self.named_type("typing.SupportsInt")) return UnionType.make_union(numeric_types) elif p in ["c"]: if isinstance(expr, BytesExpr): return UnionType( [self.named_type("builtins.int"), self.named_type("builtins.bytes")] ) else: return UnionType( [self.named_type("builtins.int"), self.named_type("builtins.str")] ) else: self.msg.unsupported_placeholder(p, context) return None # # Helpers # def named_type(self, name: str) -> Instance: """Return an instance type with type given by the name and no type arguments. Alias for TypeChecker.named_type. """ return self.chk.named_type(name) def accept(self, expr: Expression, context: Type | None = None) -> Type: """Type check a node. Alias for TypeChecker.accept.""" return self.chk.expr_checker.accept(expr, context) def has_type_component(typ: Type, fullname: str) -> bool: """Is this a specific instance type, or a union that contains it? We use this ad-hoc function instead of a proper visitor or subtype check because some str vs bytes errors are strictly speaking not runtime errors, but rather highly counter-intuitive behavior. This is similar to what is used for --strict-equality. """ typ = get_proper_type(typ) if isinstance(typ, Instance): return typ.type.has_base(fullname) elif isinstance(typ, TypeVarType): return has_type_component(typ.upper_bound, fullname) or any( has_type_component(v, fullname) for v in typ.values ) elif isinstance(typ, UnionType): return any(has_type_component(t, fullname) for t in typ.relevant_items()) return False ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/config_parser.py0000644000175100017510000006256515112307767016466 0ustar00runnerrunnerfrom __future__ import annotations import argparse import configparser import glob as fileglob import os import re import sys from io import StringIO if sys.version_info >= (3, 11): import tomllib else: import tomli as tomllib from collections.abc import Mapping, MutableMapping, Sequence from typing import Any, Callable, Final, TextIO, Union from typing_extensions import Never, TypeAlias from mypy import defaults from mypy.options import PER_MODULE_OPTIONS, Options _CONFIG_VALUE_TYPES: TypeAlias = Union[ str, bool, int, float, dict[str, str], list[str], tuple[int, int] ] _INI_PARSER_CALLABLE: TypeAlias = Callable[[Any], _CONFIG_VALUE_TYPES] class VersionTypeError(argparse.ArgumentTypeError): """Provide a fallback value if the Python version is unsupported.""" def __init__(self, *args: Any, fallback: tuple[int, int]) -> None: self.fallback = fallback super().__init__(*args) def parse_version(v: str | float) -> tuple[int, int]: m = re.match(r"\A(\d)\.(\d+)\Z", str(v)) if not m: raise argparse.ArgumentTypeError(f"Invalid python version '{v}' (expected format: 'x.y')") major, minor = int(m.group(1)), int(m.group(2)) if major == 2 and minor == 7: pass # Error raised elsewhere elif major == 3: if minor < defaults.PYTHON3_VERSION_MIN[1]: msg = "Python 3.{} is not supported (must be {}.{} or higher)".format( minor, *defaults.PYTHON3_VERSION_MIN ) if isinstance(v, float): msg += ". You may need to put quotes around your Python version" raise VersionTypeError(msg, fallback=defaults.PYTHON3_VERSION_MIN) else: raise argparse.ArgumentTypeError( f"Python major version '{major}' out of range (must be 3)" ) return major, minor def try_split(v: str | Sequence[str] | object, split_regex: str = ",") -> list[str]: """Split and trim a str or sequence (eg: list) of str into a list of str. If an element of the input is not str, a type error will be raised.""" def complain(x: object, additional_info: str = "") -> Never: raise argparse.ArgumentTypeError( f"Expected a list or a stringified version thereof, but got: '{x}', of type {type(x).__name__}.{additional_info}" ) if isinstance(v, str): items = [p.strip() for p in re.split(split_regex, v)] if items and items[-1] == "": items.pop(-1) return items elif isinstance(v, Sequence): return [ ( p.strip() if isinstance(p, str) else complain(p, additional_info=" (As an element of the list.)") ) for p in v ] else: complain(v) def validate_package_allow_list(allow_list: list[str]) -> list[str]: for p in allow_list: msg = f"Invalid allow list entry: {p}" if "*" in p: raise argparse.ArgumentTypeError( f"{msg} (entries are already prefixes so must not contain *)" ) if "\\" in p or "/" in p: raise argparse.ArgumentTypeError( f"{msg} (entries must be packages like foo.bar not directories or files)" ) return allow_list def expand_path(path: str) -> str: """Expand the user home directory and any environment variables contained within the provided path. """ return os.path.expandvars(os.path.expanduser(path)) def str_or_array_as_list(v: str | Sequence[str]) -> list[str]: if isinstance(v, str): return [v.strip()] if v.strip() else [] return [p.strip() for p in v if p.strip()] def split_and_match_files_list(paths: Sequence[str]) -> list[str]: """Take a list of files/directories (with support for globbing through the glob library). Where a path/glob matches no file, we still include the raw path in the resulting list. Returns a list of file paths """ expanded_paths = [] for path in paths: path = expand_path(path.strip()) globbed_files = fileglob.glob(path, recursive=True) if globbed_files: expanded_paths.extend(globbed_files) else: expanded_paths.append(path) return expanded_paths def split_and_match_files(paths: str) -> list[str]: """Take a string representing a list of files/directories (with support for globbing through the glob library). Where a path/glob matches no file, we still include the raw path in the resulting list. Returns a list of file paths """ return split_and_match_files_list(split_commas(paths)) def check_follow_imports(choice: str) -> str: choices = ["normal", "silent", "skip", "error"] if choice not in choices: raise argparse.ArgumentTypeError( "invalid choice '{}' (choose from {})".format( choice, ", ".join(f"'{x}'" for x in choices) ) ) return choice def check_junit_format(choice: str) -> str: choices = ["global", "per_file"] if choice not in choices: raise argparse.ArgumentTypeError( "invalid choice '{}' (choose from {})".format( choice, ", ".join(f"'{x}'" for x in choices) ) ) return choice def split_commas(value: str) -> list[str]: # Uses a bit smarter technique to allow last trailing comma # and to remove last `""` item from the split. items = value.split(",") if items and items[-1] == "": items.pop(-1) return items # For most options, the type of the default value set in options.py is # sufficient, and we don't have to do anything here. This table # exists to specify types for values initialized to None or container # types. ini_config_types: Final[dict[str, _INI_PARSER_CALLABLE]] = { "python_version": parse_version, "custom_typing_module": str, "custom_typeshed_dir": expand_path, "mypy_path": lambda s: [expand_path(p.strip()) for p in re.split("[,:]", s)], "files": split_and_match_files, "quickstart_file": expand_path, "junit_xml": expand_path, "junit_format": check_junit_format, "follow_imports": check_follow_imports, "no_site_packages": bool, "plugins": lambda s: [p.strip() for p in split_commas(s)], "always_true": lambda s: [p.strip() for p in split_commas(s)], "always_false": lambda s: [p.strip() for p in split_commas(s)], "untyped_calls_exclude": lambda s: validate_package_allow_list( [p.strip() for p in split_commas(s)] ), "enable_incomplete_feature": lambda s: [p.strip() for p in split_commas(s)], "disable_error_code": lambda s: [p.strip() for p in split_commas(s)], "enable_error_code": lambda s: [p.strip() for p in split_commas(s)], "package_root": lambda s: [p.strip() for p in split_commas(s)], "cache_dir": expand_path, "python_executable": expand_path, "strict": bool, "exclude": lambda s: [s.strip()], "packages": try_split, "modules": try_split, } # Reuse the ini_config_types and overwrite the diff toml_config_types: Final[dict[str, _INI_PARSER_CALLABLE]] = ini_config_types.copy() toml_config_types.update( { "python_version": parse_version, "mypy_path": lambda s: [expand_path(p) for p in try_split(s, "[,:]")], "files": lambda s: split_and_match_files_list(try_split(s)), "junit_format": lambda s: check_junit_format(str(s)), "follow_imports": lambda s: check_follow_imports(str(s)), "plugins": try_split, "always_true": try_split, "always_false": try_split, "untyped_calls_exclude": lambda s: validate_package_allow_list(try_split(s)), "enable_incomplete_feature": try_split, "disable_error_code": lambda s: try_split(s), "enable_error_code": lambda s: try_split(s), "package_root": try_split, "exclude": str_or_array_as_list, "packages": try_split, "modules": try_split, } ) def _parse_individual_file( config_file: str, stderr: TextIO | None = None ) -> tuple[MutableMapping[str, Any], dict[str, _INI_PARSER_CALLABLE], str] | None: if not os.path.exists(config_file): return None parser: MutableMapping[str, Any] try: if is_toml(config_file): with open(config_file, "rb") as f: toml_data = tomllib.load(f) # Filter down to just mypy relevant toml keys toml_data = toml_data.get("tool", {}) if "mypy" not in toml_data: return None toml_data = {"mypy": toml_data["mypy"]} parser = destructure_overrides(toml_data) config_types = toml_config_types else: parser = configparser.RawConfigParser() parser.read(config_file) config_types = ini_config_types except (tomllib.TOMLDecodeError, configparser.Error, ConfigTOMLValueError) as err: print(f"{config_file}: {err}", file=stderr) return None if os.path.basename(config_file) in defaults.SHARED_CONFIG_NAMES and "mypy" not in parser: return None return parser, config_types, config_file def _find_config_file( stderr: TextIO | None = None, ) -> tuple[MutableMapping[str, Any], dict[str, _INI_PARSER_CALLABLE], str] | None: current_dir = os.path.abspath(os.getcwd()) while True: for name in defaults.CONFIG_NAMES + defaults.SHARED_CONFIG_NAMES: config_file = os.path.relpath(os.path.join(current_dir, name)) ret = _parse_individual_file(config_file, stderr) if ret is None: continue return ret if any( os.path.exists(os.path.join(current_dir, cvs_root)) for cvs_root in (".git", ".hg") ): break parent_dir = os.path.dirname(current_dir) if parent_dir == current_dir: break current_dir = parent_dir for config_file in defaults.USER_CONFIG_FILES: ret = _parse_individual_file(config_file, stderr) if ret is None: continue return ret return None def parse_config_file( options: Options, set_strict_flags: Callable[[], None], filename: str | None, stdout: TextIO | None = None, stderr: TextIO | None = None, ) -> None: """Parse a config file into an Options object. Errors are written to stderr but are not fatal. If filename is None, fall back to default config files. """ stdout = stdout or sys.stdout stderr = stderr or sys.stderr ret = ( _parse_individual_file(filename, stderr) if filename is not None else _find_config_file(stderr) ) if ret is None: return parser, config_types, file_read = ret options.config_file = file_read os.environ["MYPY_CONFIG_FILE_DIR"] = os.path.dirname(os.path.abspath(file_read)) if "mypy" not in parser: if filename or os.path.basename(file_read) not in defaults.SHARED_CONFIG_NAMES: print(f"{file_read}: No [mypy] section in config file", file=stderr) else: section = parser["mypy"] prefix = f"{file_read}: [mypy]: " updates, report_dirs = parse_section( prefix, options, set_strict_flags, section, config_types, stderr ) for k, v in updates.items(): setattr(options, k, v) options.report_dirs.update(report_dirs) for name, section in parser.items(): if name.startswith("mypy-"): prefix = get_prefix(file_read, name) updates, report_dirs = parse_section( prefix, options, set_strict_flags, section, config_types, stderr ) if report_dirs: print( prefix, "Per-module sections should not specify reports ({})".format( ", ".join(s + "_report" for s in sorted(report_dirs)) ), file=stderr, ) if set(updates) - PER_MODULE_OPTIONS: print( prefix, "Per-module sections should only specify per-module flags ({})".format( ", ".join(sorted(set(updates) - PER_MODULE_OPTIONS)) ), file=stderr, ) updates = {k: v for k, v in updates.items() if k in PER_MODULE_OPTIONS} globs = name[5:] for glob in globs.split(","): # For backwards compatibility, replace (back)slashes with dots. glob = glob.replace(os.sep, ".") if os.altsep: glob = glob.replace(os.altsep, ".") if any(c in glob for c in "?[]!") or any( "*" in x and x != "*" for x in glob.split(".") ): print( prefix, "Patterns must be fully-qualified module names, optionally " "with '*' in some components (e.g spam.*.eggs.*)", file=stderr, ) else: options.per_module_options[glob] = updates def get_prefix(file_read: str, name: str) -> str: if is_toml(file_read): module_name_str = 'module = "%s"' % "-".join(name.split("-")[1:]) else: module_name_str = name return f"{file_read}: [{module_name_str}]:" def is_toml(filename: str) -> bool: return filename.lower().endswith(".toml") def destructure_overrides(toml_data: dict[str, Any]) -> dict[str, Any]: """Take the new [[tool.mypy.overrides]] section array in the pyproject.toml file, and convert it back to a flatter structure that the existing config_parser can handle. E.g. the following pyproject.toml file: [[tool.mypy.overrides]] module = [ "a.b", "b.*" ] disallow_untyped_defs = true [[tool.mypy.overrides]] module = 'c' disallow_untyped_defs = false Would map to the following config dict that it would have gotten from parsing an equivalent ini file: { "mypy-a.b": { disallow_untyped_defs = true, }, "mypy-b.*": { disallow_untyped_defs = true, }, "mypy-c": { disallow_untyped_defs: false, }, } """ if "overrides" not in toml_data["mypy"]: return toml_data if not isinstance(toml_data["mypy"]["overrides"], list): raise ConfigTOMLValueError( "tool.mypy.overrides sections must be an array. Please make " "sure you are using double brackets like so: [[tool.mypy.overrides]]" ) result = toml_data.copy() for override in result["mypy"]["overrides"]: if "module" not in override: raise ConfigTOMLValueError( "toml config file contains a [[tool.mypy.overrides]] " "section, but no module to override was specified." ) if isinstance(override["module"], str): modules = [override["module"]] elif isinstance(override["module"], list): modules = override["module"] else: raise ConfigTOMLValueError( "toml config file contains a [[tool.mypy.overrides]] " "section with a module value that is not a string or a list of " "strings" ) for module in modules: module_overrides = override.copy() del module_overrides["module"] old_config_name = f"mypy-{module}" if old_config_name not in result: result[old_config_name] = module_overrides else: for new_key, new_value in module_overrides.items(): if ( new_key in result[old_config_name] and result[old_config_name][new_key] != new_value ): raise ConfigTOMLValueError( "toml config file contains " "[[tool.mypy.overrides]] sections with conflicting " f"values. Module '{module}' has two different values for '{new_key}'" ) result[old_config_name][new_key] = new_value del result["mypy"]["overrides"] return result def parse_section( prefix: str, template: Options, set_strict_flags: Callable[[], None], section: Mapping[str, Any], config_types: dict[str, Any], stderr: TextIO = sys.stderr, ) -> tuple[dict[str, object], dict[str, str]]: """Parse one section of a config file. Returns a dict of option values encountered, and a dict of report directories. """ results: dict[str, object] = {} report_dirs: dict[str, str] = {} # Because these fields exist on Options, without proactive checking, we would accept them # and crash later invalid_options = { "enabled_error_codes": "enable_error_code", "disabled_error_codes": "disable_error_code", } for key in section: invert = False options_key = key if key in config_types: ct = config_types[key] elif key in invalid_options: print( f"{prefix}Unrecognized option: {key} = {section[key]}" f" (did you mean {invalid_options[key]}?)", file=stderr, ) continue else: dv = getattr(template, key, None) if dv is None: if key.endswith("_report"): report_type = key[:-7].replace("_", "-") if report_type in defaults.REPORTER_NAMES: report_dirs[report_type] = str(section[key]) else: print(f"{prefix}Unrecognized report type: {key}", file=stderr) continue if key.startswith("x_"): pass # Don't complain about `x_blah` flags elif key.startswith("no_") and hasattr(template, key[3:]): options_key = key[3:] invert = True elif key.startswith("allow") and hasattr(template, "dis" + key): options_key = "dis" + key invert = True elif key.startswith("disallow") and hasattr(template, key[3:]): options_key = key[3:] invert = True elif key.startswith("show_") and hasattr(template, "hide_" + key[5:]): options_key = "hide_" + key[5:] invert = True elif key == "strict": pass # Special handling below else: print(f"{prefix}Unrecognized option: {key} = {section[key]}", file=stderr) if invert: dv = getattr(template, options_key, None) else: continue ct = type(dv) v: Any = None try: if ct is bool: if isinstance(section, dict): v = convert_to_boolean(section.get(key)) else: v = section.getboolean(key) # type: ignore[attr-defined] # Until better stub if invert: v = not v elif callable(ct): if invert: print(f"{prefix}Can not invert non-boolean key {options_key}", file=stderr) continue try: v = ct(section.get(key)) except VersionTypeError as err_version: print(f"{prefix}{key}: {err_version}", file=stderr) v = err_version.fallback except argparse.ArgumentTypeError as err: print(f"{prefix}{key}: {err}", file=stderr) continue else: print(f"{prefix}Don't know what type {key} should have", file=stderr) continue except ValueError as err: print(f"{prefix}{key}: {err}", file=stderr) continue if key == "strict": if v: set_strict_flags() continue results[options_key] = v # These two flags act as per-module overrides, so store the empty defaults. if "disable_error_code" not in results: results["disable_error_code"] = [] if "enable_error_code" not in results: results["enable_error_code"] = [] return results, report_dirs def convert_to_boolean(value: Any | None) -> bool: """Return a boolean value translating from other types if necessary.""" if isinstance(value, bool): return value if not isinstance(value, str): value = str(value) if value.lower() not in configparser.RawConfigParser.BOOLEAN_STATES: raise ValueError(f"Not a boolean: {value}") return configparser.RawConfigParser.BOOLEAN_STATES[value.lower()] def split_directive(s: str) -> tuple[list[str], list[str]]: """Split s on commas, except during quoted sections. Returns the parts and a list of error messages.""" parts = [] cur: list[str] = [] errors = [] i = 0 while i < len(s): if s[i] == ",": parts.append("".join(cur).strip()) cur = [] elif s[i] == '"': i += 1 while i < len(s) and s[i] != '"': cur.append(s[i]) i += 1 if i == len(s): errors.append("Unterminated quote in configuration comment") cur.clear() else: cur.append(s[i]) i += 1 if cur: parts.append("".join(cur).strip()) return parts, errors def mypy_comments_to_config_map(line: str, template: Options) -> tuple[dict[str, str], list[str]]: """Rewrite the mypy comment syntax into ini file syntax.""" options = {} entries, errors = split_directive(line) for entry in entries: if "=" not in entry: name = entry value = None else: name, value = (x.strip() for x in entry.split("=", 1)) name = name.replace("-", "_") if value is None: value = "True" options[name] = value return options, errors def parse_mypy_comments( args: list[tuple[int, str]], template: Options ) -> tuple[dict[str, object], list[tuple[int, str]]]: """Parse a collection of inline mypy: configuration comments. Returns a dictionary of options to be applied and a list of error messages generated. """ errors: list[tuple[int, str]] = [] sections: dict[str, object] = {"enable_error_code": [], "disable_error_code": []} for lineno, line in args: # In order to easily match the behavior for bools, we abuse configparser. # Oddly, the only way to get the SectionProxy object with the getboolean # method is to create a config parser. parser = configparser.RawConfigParser() options, parse_errors = mypy_comments_to_config_map(line, template) if "python_version" in options: errors.append((lineno, "python_version not supported in inline configuration")) del options["python_version"] parser["dummy"] = options errors.extend((lineno, x) for x in parse_errors) stderr = StringIO() strict_found = False def set_strict_flags() -> None: nonlocal strict_found strict_found = True new_sections, reports = parse_section( "", template, set_strict_flags, parser["dummy"], ini_config_types, stderr=stderr ) errors.extend((lineno, x) for x in stderr.getvalue().strip().split("\n") if x) if reports: errors.append((lineno, "Reports not supported in inline configuration")) if strict_found: errors.append( ( lineno, 'Setting "strict" not supported in inline configuration: specify it in ' "a configuration file instead, or set individual inline flags " '(see "mypy -h" for the list of flags enabled in strict mode)', ) ) # Because this is currently special-cased # (the new_sections for an inline config *always* includes 'disable_error_code' and # 'enable_error_code' fields, usually empty, which overwrite the old ones), # we have to manipulate them specially. # This could use a refactor, but so could the whole subsystem. if ( "enable_error_code" in new_sections and isinstance(neec := new_sections["enable_error_code"], list) and isinstance(eec := sections.get("enable_error_code", []), list) ): new_sections["enable_error_code"] = sorted(set(neec + eec)) if ( "disable_error_code" in new_sections and isinstance(ndec := new_sections["disable_error_code"], list) and isinstance(dec := sections.get("disable_error_code", []), list) ): new_sections["disable_error_code"] = sorted(set(ndec + dec)) sections.update(new_sections) return sections, errors def get_config_module_names(filename: str | None, modules: list[str]) -> str: if not filename or not modules: return "" if not is_toml(filename): return ", ".join(f"[mypy-{module}]" for module in modules) return "module = ['%s']" % ("', '".join(sorted(modules))) class ConfigTOMLValueError(ValueError): pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/constant_fold.py0000644000175100017510000001366715112307767016501 0ustar00runnerrunner"""Constant folding of expressions. For example, 3 + 5 can be constant folded into 8. """ from __future__ import annotations from typing import Final, Union from mypy.nodes import ( ComplexExpr, Expression, FloatExpr, IntExpr, NameExpr, OpExpr, StrExpr, UnaryExpr, Var, ) # All possible result types of constant folding ConstantValue = Union[int, bool, float, complex, str] CONST_TYPES: Final = (int, bool, float, complex, str) def constant_fold_expr(expr: Expression, cur_mod_id: str) -> ConstantValue | None: """Return the constant value of an expression for supported operations. Among other things, support int arithmetic and string concatenation. For example, the expression 3 + 5 has the constant value 8. Also bind simple references to final constants defined in the current module (cur_mod_id). Binding to references is best effort -- we don't bind references to other modules. Mypyc trusts these to be correct in compiled modules, so that it can replace a constant expression (or a reference to one) with the statically computed value. We don't want to infer constant values based on stubs, in particular, as these might not match the implementation (due to version skew, for example). Return None if unsuccessful. """ if isinstance(expr, IntExpr): return expr.value if isinstance(expr, StrExpr): return expr.value if isinstance(expr, FloatExpr): return expr.value if isinstance(expr, ComplexExpr): return expr.value elif isinstance(expr, NameExpr): if expr.name == "True": return True elif expr.name == "False": return False node = expr.node if ( isinstance(node, Var) and node.is_final and node.fullname.rsplit(".", 1)[0] == cur_mod_id ): value = node.final_value if isinstance(value, (CONST_TYPES)): return value elif isinstance(expr, OpExpr): left = constant_fold_expr(expr.left, cur_mod_id) right = constant_fold_expr(expr.right, cur_mod_id) if left is not None and right is not None: return constant_fold_binary_op(expr.op, left, right) elif isinstance(expr, UnaryExpr): value = constant_fold_expr(expr.expr, cur_mod_id) if value is not None: return constant_fold_unary_op(expr.op, value) return None def constant_fold_binary_op( op: str, left: ConstantValue, right: ConstantValue ) -> ConstantValue | None: if isinstance(left, int) and isinstance(right, int): return constant_fold_binary_int_op(op, left, right) # Float and mixed int/float arithmetic. if isinstance(left, float) and isinstance(right, float): return constant_fold_binary_float_op(op, left, right) elif isinstance(left, float) and isinstance(right, int): return constant_fold_binary_float_op(op, left, right) elif isinstance(left, int) and isinstance(right, float): return constant_fold_binary_float_op(op, left, right) # String concatenation and multiplication. if op == "+" and isinstance(left, str) and isinstance(right, str): return left + right elif op == "*" and isinstance(left, str) and isinstance(right, int): return left * right elif op == "*" and isinstance(left, int) and isinstance(right, str): return left * right # Complex construction. if op == "+" and isinstance(left, (int, float)) and isinstance(right, complex): return left + right elif op == "+" and isinstance(left, complex) and isinstance(right, (int, float)): return left + right elif op == "-" and isinstance(left, (int, float)) and isinstance(right, complex): return left - right elif op == "-" and isinstance(left, complex) and isinstance(right, (int, float)): return left - right return None def constant_fold_binary_int_op(op: str, left: int, right: int) -> int | float | None: if op == "+": return left + right if op == "-": return left - right elif op == "*": return left * right elif op == "/": if right != 0: return left / right elif op == "//": if right != 0: return left // right elif op == "%": if right != 0: return left % right elif op == "&": return left & right elif op == "|": return left | right elif op == "^": return left ^ right elif op == "<<": if right >= 0: return left << right elif op == ">>": if right >= 0: return left >> right elif op == "**": if right >= 0: ret = left**right assert isinstance(ret, int) return ret return None def constant_fold_binary_float_op(op: str, left: int | float, right: int | float) -> float | None: assert not (isinstance(left, int) and isinstance(right, int)), (op, left, right) if op == "+": return left + right elif op == "-": return left - right elif op == "*": return left * right elif op == "/": if right != 0: return left / right elif op == "//": if right != 0: return left // right elif op == "%": if right != 0: return left % right elif op == "**": if (left < 0 and isinstance(right, int)) or left > 0: try: ret = left**right except OverflowError: return None else: assert isinstance(ret, float), ret return ret return None def constant_fold_unary_op(op: str, value: ConstantValue) -> int | float | None: if op == "-" and isinstance(value, (int, float)): return -value elif op == "~" and isinstance(value, int): return ~value elif op == "+" and isinstance(value, (int, float)): return value return None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/constraints.py0000644000175100017510000023433715112307767016212 0ustar00runnerrunner"""Type inference constraints.""" from __future__ import annotations from collections.abc import Iterable, Sequence from typing import TYPE_CHECKING, Final, cast from typing_extensions import TypeGuard import mypy.subtypes import mypy.typeops from mypy.argmap import ArgTypeExpander from mypy.erasetype import erase_typevars from mypy.maptype import map_instance_to_supertype from mypy.nodes import ( ARG_OPT, ARG_POS, ARG_STAR, ARG_STAR2, CONTRAVARIANT, COVARIANT, ArgKind, TypeInfo, ) from mypy.type_visitor import ALL_STRATEGY, BoolTypeQuery from mypy.types import ( TUPLE_LIKE_INSTANCE_NAMES, AnyType, CallableType, DeletedType, ErasedType, Instance, LiteralType, NoneType, NormalizedCallableType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, TypeVisitor, UnboundType, UninhabitedType, UnionType, UnpackType, find_unpack_in_list, flatten_nested_tuples, get_proper_type, has_recursive_types, has_type_vars, is_named_instance, split_with_prefix_and_suffix, ) from mypy.types_utils import is_union_with_any from mypy.typestate import type_state if TYPE_CHECKING: from mypy.infer import ArgumentInferContext SUBTYPE_OF: Final = 0 SUPERTYPE_OF: Final = 1 class Constraint: """A representation of a type constraint. It can be either T <: type or T :> type (T is a type variable). """ type_var: TypeVarId op = 0 # SUBTYPE_OF or SUPERTYPE_OF target: Type def __init__(self, type_var: TypeVarLikeType, op: int, target: Type) -> None: self.type_var = type_var.id self.op = op # TODO: should we add "assert not isinstance(target, UnpackType)"? # UnpackType is a synthetic type, and is never valid as a constraint target. self.target = target self.origin_type_var = type_var # These are additional type variables that should be solved for together with type_var. # TODO: A cleaner solution may be to modify the return type of infer_constraints() # to include these instead, but this is a rather big refactoring. self.extra_tvars: list[TypeVarLikeType] = [] def __repr__(self) -> str: op_str = "<:" if self.op == SUPERTYPE_OF: op_str = ":>" return f"{self.type_var} {op_str} {self.target}" def __hash__(self) -> int: return hash((self.type_var, self.op, self.target)) def __eq__(self, other: object) -> bool: if not isinstance(other, Constraint): return False return (self.type_var, self.op, self.target) == (other.type_var, other.op, other.target) def infer_constraints_for_callable( callee: CallableType, arg_types: Sequence[Type | None], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, formal_to_actual: list[list[int]], context: ArgumentInferContext, ) -> list[Constraint]: """Infer type variable constraints for a callable and actual arguments. Return a list of constraints. """ constraints: list[Constraint] = [] mapper = ArgTypeExpander(context) param_spec = callee.param_spec() param_spec_arg_types = [] param_spec_arg_names = [] param_spec_arg_kinds = [] incomplete_star_mapping = False for i, actuals in enumerate(formal_to_actual): # TODO: isn't this `enumerate(arg_types)`? for actual in actuals: if actual is None and callee.arg_kinds[i] in (ARG_STAR, ARG_STAR2): # type: ignore[unreachable] # We can't use arguments to infer ParamSpec constraint, if only some # are present in the current inference pass. incomplete_star_mapping = True # type: ignore[unreachable] break for i, actuals in enumerate(formal_to_actual): if isinstance(callee.arg_types[i], UnpackType): unpack_type = callee.arg_types[i] assert isinstance(unpack_type, UnpackType) # In this case we are binding all the actuals to *args, # and we want a constraint that the typevar tuple being unpacked # is equal to a type list of all the actuals. actual_types = [] unpacked_type = get_proper_type(unpack_type.type) if isinstance(unpacked_type, TypeVarTupleType): tuple_instance = unpacked_type.tuple_fallback elif isinstance(unpacked_type, TupleType): tuple_instance = unpacked_type.partial_fallback else: assert False, "mypy bug: unhandled constraint inference case" for actual in actuals: actual_arg_type = arg_types[actual] if actual_arg_type is None: continue expanded_actual = mapper.expand_actual_type( actual_arg_type, arg_kinds[actual], callee.arg_names[i], callee.arg_kinds[i], allow_unpack=True, ) if arg_kinds[actual] != ARG_STAR or isinstance( get_proper_type(actual_arg_type), TupleType ): actual_types.append(expanded_actual) else: # If we are expanding an iterable inside * actual, append a homogeneous item instead actual_types.append( UnpackType(tuple_instance.copy_modified(args=[expanded_actual])) ) if isinstance(unpacked_type, TypeVarTupleType): constraints.append( Constraint( unpacked_type, SUPERTYPE_OF, TupleType(actual_types, unpacked_type.tuple_fallback), ) ) elif isinstance(unpacked_type, TupleType): # Prefixes get converted to positional args, so technically the only case we # should have here is like Tuple[Unpack[Ts], Y1, Y2, Y3]. If this turns out # not to hold we can always handle the prefixes too. inner_unpack = unpacked_type.items[0] assert isinstance(inner_unpack, UnpackType) inner_unpacked_type = get_proper_type(inner_unpack.type) suffix_len = len(unpacked_type.items) - 1 if isinstance(inner_unpacked_type, TypeVarTupleType): # Variadic item can be either *Ts... constraints.append( Constraint( inner_unpacked_type, SUPERTYPE_OF, TupleType( actual_types[:-suffix_len], inner_unpacked_type.tuple_fallback ), ) ) else: # ...or it can be a homogeneous tuple. assert ( isinstance(inner_unpacked_type, Instance) and inner_unpacked_type.type.fullname == "builtins.tuple" ) for at in actual_types[:-suffix_len]: constraints.extend( infer_constraints(inner_unpacked_type.args[0], at, SUPERTYPE_OF) ) # Now handle the suffix (if any). if suffix_len: for tt, at in zip(unpacked_type.items[1:], actual_types[-suffix_len:]): constraints.extend(infer_constraints(tt, at, SUPERTYPE_OF)) else: assert False, "mypy bug: unhandled constraint inference case" else: for actual in actuals: actual_arg_type = arg_types[actual] if actual_arg_type is None: continue if param_spec and callee.arg_kinds[i] in (ARG_STAR, ARG_STAR2): # If actual arguments are mapped to ParamSpec type, we can't infer individual # constraints, instead store them and infer single constraint at the end. # It is impossible to map actual kind to formal kind, so use some heuristic. # This inference is used as a fallback, so relying on heuristic should be OK. if not incomplete_star_mapping: param_spec_arg_types.append( mapper.expand_actual_type( actual_arg_type, arg_kinds[actual], None, arg_kinds[actual] ) ) actual_kind = arg_kinds[actual] param_spec_arg_kinds.append( ARG_POS if actual_kind not in (ARG_STAR, ARG_STAR2) else actual_kind ) param_spec_arg_names.append(arg_names[actual] if arg_names else None) else: actual_type = mapper.expand_actual_type( actual_arg_type, arg_kinds[actual], callee.arg_names[i], callee.arg_kinds[i], ) c = infer_constraints(callee.arg_types[i], actual_type, SUPERTYPE_OF) constraints.extend(c) if ( param_spec and not any(c.type_var == param_spec.id for c in constraints) and not incomplete_star_mapping ): # Use ParamSpec constraint from arguments only if there are no other constraints, # since as explained above it is quite ad-hoc. constraints.append( Constraint( param_spec, SUPERTYPE_OF, Parameters( arg_types=param_spec_arg_types, arg_kinds=param_spec_arg_kinds, arg_names=param_spec_arg_names, imprecise_arg_kinds=True, ), ) ) if any(isinstance(v, ParamSpecType) for v in callee.variables): # As a perf optimization filter imprecise constraints only when we can have them. constraints = filter_imprecise_kinds(constraints) return constraints def infer_constraints( template: Type, actual: Type, direction: int, skip_neg_op: bool = False ) -> list[Constraint]: """Infer type constraints. Match a template type, which may contain type variable references, recursively against a type which does not contain (the same) type variable references. The result is a list of type constrains of form 'T is a supertype/subtype of x', where T is a type variable present in the template and x is a type without reference to type variables present in the template. Assume T and S are type variables. Now the following results can be calculated (read as '(template, actual) --> result'): (T, X) --> T :> X (X[T], X[Y]) --> T <: Y and T :> Y ((T, T), (X, Y)) --> T :> X and T :> Y ((T, S), (X, Y)) --> T :> X and S :> Y (X[T], Any) --> T <: Any and T :> Any The constraints are represented as Constraint objects. If skip_neg_op == True, then skip adding reverse (polymorphic) constraints (since this is already a call to infer such constraints). """ if any( get_proper_type(template) == get_proper_type(t) and get_proper_type(actual) == get_proper_type(a) for (t, a) in reversed(type_state.inferring) ): return [] if has_recursive_types(template) or isinstance(get_proper_type(template), Instance): # This case requires special care because it may cause infinite recursion. # Note that we include Instances because the may be recursive as str(Sequence[str]). if not has_type_vars(template): # Return early on an empty branch. return [] type_state.inferring.append((template, actual)) res = _infer_constraints(template, actual, direction, skip_neg_op) type_state.inferring.pop() return res return _infer_constraints(template, actual, direction, skip_neg_op) def _infer_constraints( template: Type, actual: Type, direction: int, skip_neg_op: bool ) -> list[Constraint]: orig_template = template template = get_proper_type(template) actual = get_proper_type(actual) # Type inference shouldn't be affected by whether union types have been simplified. # We however keep any ErasedType items, so that the caller will see it when using # checkexpr.has_erased_component(). if isinstance(template, UnionType): template = mypy.typeops.make_simplified_union(template.items, keep_erased=True) if isinstance(actual, UnionType): actual = mypy.typeops.make_simplified_union(actual.items, keep_erased=True) # Ignore Any types from the type suggestion engine to avoid them # causing us to infer Any in situations where a better job could # be done otherwise. (This can produce false positives but that # doesn't really matter because it is all heuristic anyway.) if isinstance(actual, AnyType) and actual.type_of_any == TypeOfAny.suggestion_engine: return [] # type[A | B] is always represented as type[A] | type[B] internally. # This makes our constraint solver choke on type[T] <: type[A] | type[B], # solving T as generic meet(A, B) which is often `object`. Force unwrap such unions # if both sides are type[...] or unions thereof. See `testTypeVarType` test type_type_unwrapped = False if _is_type_type(template) and _is_type_type(actual): type_type_unwrapped = True template = _unwrap_type_type(template) actual = _unwrap_type_type(actual) # If the template is simply a type variable, emit a Constraint directly. # We need to handle this case before handling Unions for two reasons: # 1. "T <: Union[U1, U2]" is not equivalent to "T <: U1 or T <: U2", # because T can itself be a union (notably, Union[U1, U2] itself). # 2. "T :> Union[U1, U2]" is logically equivalent to "T :> U1 and # T :> U2", but they are not equivalent to the constraint solver, # which never introduces new Union types (it uses join() instead). if isinstance(template, TypeVarType): return [Constraint(template, direction, actual)] if ( isinstance(actual, TypeVarType) and not actual.id.is_meta_var() and direction == SUPERTYPE_OF ): # Unless template is also a type variable (or a union that contains one), using the upper # bound for inference will usually give better result for actual that is a type variable. if not isinstance(template, UnionType) or not any( isinstance(t, TypeVarType) for t in template.items ): actual = get_proper_type(actual.upper_bound) # Now handle the case of either template or actual being a Union. # For a Union to be a subtype of another type, every item of the Union # must be a subtype of that type, so concatenate the constraints. if direction == SUBTYPE_OF and isinstance(template, UnionType): res = [] for t_item in template.items: res.extend(infer_constraints(t_item, actual, direction)) return res if direction == SUPERTYPE_OF and isinstance(actual, UnionType): res = [] for a_item in actual.items: # `orig_template` has to be preserved intact in case it's recursive. # If we unwrapped ``type[...]`` previously, wrap the item back again, # as ``type[...]`` can't be removed from `orig_template`. if type_type_unwrapped: a_item = TypeType.make_normalized(a_item) res.extend(infer_constraints(orig_template, a_item, direction)) return res # Now the potential subtype is known not to be a Union or a type # variable that we are solving for. In that case, for a Union to # be a supertype of the potential subtype, some item of the Union # must be a supertype of it. if direction == SUBTYPE_OF and isinstance(actual, UnionType): # If some of items is not a complete type, disregard that. items = simplify_away_incomplete_types(actual.items) # We infer constraints eagerly -- try to find constraints for a type # variable if possible. This seems to help with some real-world # use cases. return any_constraints( [infer_constraints_if_possible(template, a_item, direction) for a_item in items], eager=True, ) if direction == SUPERTYPE_OF and isinstance(template, UnionType): # When the template is a union, we are okay with leaving some # type variables indeterminate. This helps with some special # cases, though this isn't very principled. result = any_constraints( [ infer_constraints_if_possible(t_item, actual, direction) for t_item in template.items ], eager=isinstance(actual, AnyType), ) if result: return result elif has_recursive_types(template) and not has_recursive_types(actual): return handle_recursive_union(template, actual, direction) return [] # Remaining cases are handled by ConstraintBuilderVisitor. return template.accept(ConstraintBuilderVisitor(actual, direction, skip_neg_op)) def _is_type_type(tp: ProperType) -> TypeGuard[TypeType | UnionType]: """Is ``tp`` a ``type[...]`` or a union thereof? ``Type[A | B]`` is internally represented as ``type[A] | type[B]``, and this troubles the solver sometimes. """ return ( isinstance(tp, TypeType) or isinstance(tp, UnionType) and all(isinstance(get_proper_type(o), TypeType) for o in tp.items) ) def _unwrap_type_type(tp: TypeType | UnionType) -> ProperType: """Extract the inner type from ``type[...]`` expression or a union thereof.""" if isinstance(tp, TypeType): return tp.item return UnionType.make_union([cast(TypeType, get_proper_type(o)).item for o in tp.items]) def infer_constraints_if_possible( template: Type, actual: Type, direction: int ) -> list[Constraint] | None: """Like infer_constraints, but return None if the input relation is known to be unsatisfiable, for example if template=List[T] and actual=int. (In this case infer_constraints would return [], just like it would for an automatically satisfied relation like template=List[T] and actual=object.) """ if direction == SUBTYPE_OF and not mypy.subtypes.is_subtype(erase_typevars(template), actual): return None if direction == SUPERTYPE_OF and not mypy.subtypes.is_subtype( actual, erase_typevars(template) ): return None if ( direction == SUPERTYPE_OF and isinstance(template, TypeVarType) and not mypy.subtypes.is_subtype(actual, erase_typevars(template.upper_bound)) ): # This is not caught by the above branch because of the erase_typevars() call, # that would return 'Any' for a type variable. return None return infer_constraints(template, actual, direction) def select_trivial(options: Sequence[list[Constraint] | None]) -> list[list[Constraint]]: """Select only those lists where each item is a constraint against Any.""" res = [] for option in options: if option is None: continue if all(isinstance(get_proper_type(c.target), AnyType) for c in option): res.append(option) return res def merge_with_any(constraint: Constraint) -> Constraint: """Transform a constraint target into a union with given Any type.""" target = constraint.target if is_union_with_any(target): # Do not produce redundant unions. return constraint # TODO: if we will support multiple sources Any, use this here instead. any_type = AnyType(TypeOfAny.implementation_artifact) return Constraint( constraint.origin_type_var, constraint.op, UnionType.make_union([target, any_type], target.line, target.column), ) def handle_recursive_union(template: UnionType, actual: Type, direction: int) -> list[Constraint]: # This is a hack to special-case things like Union[T, Inst[T]] in recursive types. Although # it is quite arbitrary, it is a relatively common pattern, so we should handle it well. # This function may be called when inferring against such union resulted in different # constraints for each item. Normally we give up in such case, but here we instead split # the union in two parts, and try inferring sequentially. non_type_var_items = [t for t in template.items if not isinstance(t, TypeVarType)] type_var_items = [t for t in template.items if isinstance(t, TypeVarType)] return infer_constraints( UnionType.make_union(non_type_var_items), actual, direction ) or infer_constraints(UnionType.make_union(type_var_items), actual, direction) def any_constraints(options: list[list[Constraint] | None], *, eager: bool) -> list[Constraint]: """Deduce what we can from a collection of constraint lists. It's a given that at least one of the lists must be satisfied. A None element in the list of options represents an unsatisfiable constraint and is ignored. Ignore empty constraint lists if eager is true -- they are always trivially satisfiable. """ if eager: valid_options = [option for option in options if option] else: valid_options = [option for option in options if option is not None] if not valid_options: return [] if len(valid_options) == 1: return valid_options[0] if all(is_same_constraints(valid_options[0], c) for c in valid_options[1:]): # Multiple sets of constraints that are all the same. Just pick any one of them. return valid_options[0] if all(is_similar_constraints(valid_options[0], c) for c in valid_options[1:]): # All options have same structure. In this case we can merge-in trivial # options (i.e. those that only have Any) and try again. # TODO: More generally, if a given (variable, direction) pair appears in # every option, combine the bounds with meet/join always, not just for Any. trivial_options = select_trivial(valid_options) if trivial_options and len(trivial_options) < len(valid_options): merged_options = [] for option in valid_options: if option in trivial_options: continue merged_options.append([merge_with_any(c) for c in option]) return any_constraints(list(merged_options), eager=eager) # If normal logic didn't work, try excluding trivially unsatisfiable constraint (due to # upper bounds) from each option, and comparing them again. filtered_options = [filter_satisfiable(o) for o in options] if filtered_options != options: return any_constraints(filtered_options, eager=eager) # Try harder: if that didn't work, try to strip typevars that aren't meta vars. # Note this is what we would always do, but unfortunately some callers may not # set the meta var status correctly (for historical reasons), so we use this as # a fallback only. filtered_options = [exclude_non_meta_vars(o) for o in options] if filtered_options != options: return any_constraints(filtered_options, eager=eager) # Otherwise, there are either no valid options or multiple, inconsistent valid # options. Give up and deduce nothing. return [] def filter_satisfiable(option: list[Constraint] | None) -> list[Constraint] | None: """Keep only constraints that can possibly be satisfied. Currently, we filter out constraints where target is not a subtype of the upper bound. Since those can be never satisfied. We may add more cases in future if it improves type inference. """ if not option: return option satisfiable = [] for c in option: if isinstance(c.origin_type_var, TypeVarType) and c.origin_type_var.values: if any( mypy.subtypes.is_subtype(c.target, value) for value in c.origin_type_var.values ): satisfiable.append(c) elif mypy.subtypes.is_subtype(c.target, c.origin_type_var.upper_bound): satisfiable.append(c) if not satisfiable: return None return satisfiable def exclude_non_meta_vars(option: list[Constraint] | None) -> list[Constraint] | None: # If we had an empty list, keep it intact if not option: return option # However, if none of the options actually references meta vars, better remove # this constraint entirely. return [c for c in option if c.type_var.is_meta_var()] or None def is_same_constraints(x: list[Constraint], y: list[Constraint]) -> bool: for c1 in x: if not any(is_same_constraint(c1, c2) for c2 in y): return False for c1 in y: if not any(is_same_constraint(c1, c2) for c2 in x): return False return True def is_same_constraint(c1: Constraint, c2: Constraint) -> bool: # Ignore direction when comparing constraints against Any. skip_op_check = isinstance(get_proper_type(c1.target), AnyType) and isinstance( get_proper_type(c2.target), AnyType ) return ( c1.type_var == c2.type_var and (c1.op == c2.op or skip_op_check) and mypy.subtypes.is_same_type(c1.target, c2.target) ) def is_similar_constraints(x: list[Constraint], y: list[Constraint]) -> bool: """Check that two lists of constraints have similar structure. This means that each list has same type variable plus direction pairs (i.e we ignore the target). Except for constraints where target is Any type, there we ignore direction as well. """ return _is_similar_constraints(x, y) and _is_similar_constraints(y, x) def _is_similar_constraints(x: list[Constraint], y: list[Constraint]) -> bool: """Check that every constraint in the first list has a similar one in the second. See docstring above for definition of similarity. """ for c1 in x: has_similar = False for c2 in y: # Ignore direction when either constraint is against Any. skip_op_check = isinstance(get_proper_type(c1.target), AnyType) or isinstance( get_proper_type(c2.target), AnyType ) if c1.type_var == c2.type_var and (c1.op == c2.op or skip_op_check): has_similar = True break if not has_similar: return False return True def simplify_away_incomplete_types(types: Iterable[Type]) -> list[Type]: complete = [typ for typ in types if is_complete_type(typ)] if complete: return complete else: return list(types) def is_complete_type(typ: Type) -> bool: """Is a type complete? A complete doesn't have uninhabited type components or (when not in strict optional mode) None components. """ return typ.accept(CompleteTypeVisitor()) class CompleteTypeVisitor(BoolTypeQuery): def __init__(self) -> None: super().__init__(ALL_STRATEGY) def visit_uninhabited_type(self, t: UninhabitedType) -> bool: return False class ConstraintBuilderVisitor(TypeVisitor[list[Constraint]]): """Visitor class for inferring type constraints.""" # The type that is compared against a template # TODO: The value may be None. Is that actually correct? actual: ProperType def __init__(self, actual: ProperType, direction: int, skip_neg_op: bool) -> None: # Direction must be SUBTYPE_OF or SUPERTYPE_OF. self.actual = actual self.direction = direction # Whether to skip polymorphic inference (involves inference in opposite direction) # this is used to prevent infinite recursion when both template and actual are # generic callables. self.skip_neg_op = skip_neg_op # Trivial leaf types def visit_unbound_type(self, template: UnboundType) -> list[Constraint]: return [] def visit_any(self, template: AnyType) -> list[Constraint]: return [] def visit_none_type(self, template: NoneType) -> list[Constraint]: return [] def visit_uninhabited_type(self, template: UninhabitedType) -> list[Constraint]: return [] def visit_erased_type(self, template: ErasedType) -> list[Constraint]: return [] def visit_deleted_type(self, template: DeletedType) -> list[Constraint]: return [] def visit_literal_type(self, template: LiteralType) -> list[Constraint]: return [] # Errors def visit_partial_type(self, template: PartialType) -> list[Constraint]: # We can't do anything useful with a partial type here. assert False, "Internal error" # Non-trivial leaf type def visit_type_var(self, template: TypeVarType) -> list[Constraint]: assert False, ( "Unexpected TypeVarType in ConstraintBuilderVisitor" " (should have been handled in infer_constraints)" ) def visit_param_spec(self, template: ParamSpecType) -> list[Constraint]: # Can't infer ParamSpecs from component values (only via Callable[P, T]). return [] def visit_type_var_tuple(self, template: TypeVarTupleType) -> list[Constraint]: raise NotImplementedError def visit_unpack_type(self, template: UnpackType) -> list[Constraint]: raise RuntimeError("Mypy bug: unpack should be handled at a higher level.") def visit_parameters(self, template: Parameters) -> list[Constraint]: # Constraining Any against C[P] turns into infer_against_any([P], Any) if isinstance(self.actual, AnyType): return self.infer_against_any(template.arg_types, self.actual) if type_state.infer_polymorphic and isinstance(self.actual, Parameters): # For polymorphic inference we need to be able to infer secondary constraints # in situations like [x: T] <: P <: [x: int]. return infer_callable_arguments_constraints(template, self.actual, self.direction) if type_state.infer_polymorphic and isinstance(self.actual, ParamSpecType): # Similar for [x: T] <: Q <: Concatenate[int, P]. return infer_callable_arguments_constraints( template, self.actual.prefix, self.direction ) # There also may be unpatched types after a user error, simply ignore them. return [] # Non-leaf types def visit_instance(self, template: Instance) -> list[Constraint]: original_actual = actual = self.actual res: list[Constraint] = [] if isinstance(actual, (CallableType, Overloaded)) and template.type.is_protocol: if "__call__" in template.type.protocol_members: # Special case: a generic callback protocol if not any(template == t for t in template.type.inferring): template.type.inferring.append(template) call = mypy.subtypes.find_member( "__call__", template, actual, is_operator=True ) assert call is not None if ( self.direction == SUPERTYPE_OF and mypy.subtypes.is_subtype(actual, erase_typevars(call)) or self.direction == SUBTYPE_OF and mypy.subtypes.is_subtype(erase_typevars(call), actual) ): res.extend(infer_constraints(call, actual, self.direction)) template.type.inferring.pop() if isinstance(actual, CallableType) and actual.fallback is not None: if ( actual.is_type_obj() and template.type.is_protocol and self.direction == SUPERTYPE_OF ): ret_type = get_proper_type(actual.ret_type) if isinstance(ret_type, TupleType): ret_type = mypy.typeops.tuple_fallback(ret_type) if isinstance(ret_type, Instance): res.extend( self.infer_constraints_from_protocol_members( ret_type, template, ret_type, template, class_obj=True ) ) actual = actual.fallback if isinstance(actual, TypeType) and template.type.is_protocol: if self.direction == SUPERTYPE_OF: a_item = actual.item if isinstance(a_item, Instance): res.extend( self.infer_constraints_from_protocol_members( a_item, template, a_item, template, class_obj=True ) ) # Infer constraints for Type[T] via metaclass of T when it makes sense. if isinstance(a_item, TypeVarType): a_item = get_proper_type(a_item.upper_bound) if isinstance(a_item, Instance) and a_item.type.metaclass_type: res.extend( self.infer_constraints_from_protocol_members( a_item.type.metaclass_type, template, actual, template ) ) if isinstance(actual, Overloaded) and actual.fallback is not None: actual = actual.fallback if isinstance(actual, TypedDictType): actual = actual.as_anonymous().fallback if isinstance(actual, LiteralType): actual = actual.fallback if isinstance(actual, Instance): instance = actual erased = erase_typevars(template) assert isinstance(erased, Instance) # type: ignore[misc] # We always try nominal inference if possible, # it is much faster than the structural one. if self.direction == SUBTYPE_OF and template.type.has_base(instance.type.fullname): mapped = map_instance_to_supertype(template, instance.type) tvars = mapped.type.defn.type_vars if instance.type.has_type_var_tuple_type: # Variadic types need special handling to map each type argument to # the correct corresponding type variable. assert instance.type.type_var_tuple_prefix is not None assert instance.type.type_var_tuple_suffix is not None prefix_len = instance.type.type_var_tuple_prefix suffix_len = instance.type.type_var_tuple_suffix tvt = instance.type.defn.type_vars[prefix_len] assert isinstance(tvt, TypeVarTupleType) fallback = tvt.tuple_fallback i_prefix, i_middle, i_suffix = split_with_prefix_and_suffix( instance.args, prefix_len, suffix_len ) m_prefix, m_middle, m_suffix = split_with_prefix_and_suffix( mapped.args, prefix_len, suffix_len ) instance_args = i_prefix + (TupleType(list(i_middle), fallback),) + i_suffix mapped_args = m_prefix + (TupleType(list(m_middle), fallback),) + m_suffix else: mapped_args = mapped.args instance_args = instance.args # N.B: We use zip instead of indexing because the lengths might have # mismatches during daemon reprocessing. for tvar, mapped_arg, instance_arg in zip(tvars, mapped_args, instance_args): if isinstance(tvar, TypeVarType): # The constraints for generic type parameters depend on variance. # Include constraints from both directions if invariant. if tvar.variance != CONTRAVARIANT: res.extend(infer_constraints(mapped_arg, instance_arg, self.direction)) if tvar.variance != COVARIANT: res.extend( infer_constraints(mapped_arg, instance_arg, neg_op(self.direction)) ) elif isinstance(tvar, ParamSpecType) and isinstance(mapped_arg, ParamSpecType): prefix = mapped_arg.prefix if isinstance(instance_arg, Parameters): # No such thing as variance for ParamSpecs, consider them invariant # TODO: constraints between prefixes using # infer_callable_arguments_constraints() suffix: Type = instance_arg.copy_modified( instance_arg.arg_types[len(prefix.arg_types) :], instance_arg.arg_kinds[len(prefix.arg_kinds) :], instance_arg.arg_names[len(prefix.arg_names) :], ) res.append(Constraint(mapped_arg, SUBTYPE_OF, suffix)) res.append(Constraint(mapped_arg, SUPERTYPE_OF, suffix)) elif isinstance(instance_arg, ParamSpecType): suffix = instance_arg.copy_modified( prefix=Parameters( instance_arg.prefix.arg_types[len(prefix.arg_types) :], instance_arg.prefix.arg_kinds[len(prefix.arg_kinds) :], instance_arg.prefix.arg_names[len(prefix.arg_names) :], ) ) res.append(Constraint(mapped_arg, SUBTYPE_OF, suffix)) res.append(Constraint(mapped_arg, SUPERTYPE_OF, suffix)) elif isinstance(tvar, TypeVarTupleType): # Handle variadic type variables covariantly for consistency. res.extend(infer_constraints(mapped_arg, instance_arg, self.direction)) return res elif self.direction == SUPERTYPE_OF and instance.type.has_base(template.type.fullname): mapped = map_instance_to_supertype(instance, template.type) tvars = template.type.defn.type_vars if template.type.has_type_var_tuple_type: # Variadic types need special handling to map each type argument to # the correct corresponding type variable. assert template.type.type_var_tuple_prefix is not None assert template.type.type_var_tuple_suffix is not None prefix_len = template.type.type_var_tuple_prefix suffix_len = template.type.type_var_tuple_suffix tvt = template.type.defn.type_vars[prefix_len] assert isinstance(tvt, TypeVarTupleType) fallback = tvt.tuple_fallback t_prefix, t_middle, t_suffix = split_with_prefix_and_suffix( template.args, prefix_len, suffix_len ) m_prefix, m_middle, m_suffix = split_with_prefix_and_suffix( mapped.args, prefix_len, suffix_len ) template_args = t_prefix + (TupleType(list(t_middle), fallback),) + t_suffix mapped_args = m_prefix + (TupleType(list(m_middle), fallback),) + m_suffix else: mapped_args = mapped.args template_args = template.args # N.B: We use zip instead of indexing because the lengths might have # mismatches during daemon reprocessing. for tvar, mapped_arg, template_arg in zip(tvars, mapped_args, template_args): if isinstance(tvar, TypeVarType): # The constraints for generic type parameters depend on variance. # Include constraints from both directions if invariant. if tvar.variance != CONTRAVARIANT: res.extend(infer_constraints(template_arg, mapped_arg, self.direction)) if tvar.variance != COVARIANT: res.extend( infer_constraints(template_arg, mapped_arg, neg_op(self.direction)) ) elif isinstance(tvar, ParamSpecType) and isinstance( template_arg, ParamSpecType ): prefix = template_arg.prefix if isinstance(mapped_arg, Parameters): # No such thing as variance for ParamSpecs, consider them invariant # TODO: constraints between prefixes using # infer_callable_arguments_constraints() suffix = mapped_arg.copy_modified( mapped_arg.arg_types[len(prefix.arg_types) :], mapped_arg.arg_kinds[len(prefix.arg_kinds) :], mapped_arg.arg_names[len(prefix.arg_names) :], ) res.append(Constraint(template_arg, SUBTYPE_OF, suffix)) res.append(Constraint(template_arg, SUPERTYPE_OF, suffix)) elif isinstance(mapped_arg, ParamSpecType): suffix = mapped_arg.copy_modified( prefix=Parameters( mapped_arg.prefix.arg_types[len(prefix.arg_types) :], mapped_arg.prefix.arg_kinds[len(prefix.arg_kinds) :], mapped_arg.prefix.arg_names[len(prefix.arg_names) :], ) ) res.append(Constraint(template_arg, SUBTYPE_OF, suffix)) res.append(Constraint(template_arg, SUPERTYPE_OF, suffix)) elif isinstance(tvar, TypeVarTupleType): # Consider variadic type variables to be invariant. res.extend(infer_constraints(template_arg, mapped_arg, SUBTYPE_OF)) res.extend(infer_constraints(template_arg, mapped_arg, SUPERTYPE_OF)) return res if ( template.type.is_protocol and self.direction == SUPERTYPE_OF and # We avoid infinite recursion for structural subtypes by checking # whether this type already appeared in the inference chain. # This is a conservative way to break the inference cycles. # It never produces any "false" constraints but gives up soon # on purely structural inference cycles, see #3829. # Note that we use is_protocol_implementation instead of is_subtype # because some type may be considered a subtype of a protocol # due to _promote, but still not implement the protocol. not any(template == t for t in reversed(template.type.inferring)) and mypy.subtypes.is_protocol_implementation(instance, erased, skip=["__call__"]) ): template.type.inferring.append(template) res.extend( self.infer_constraints_from_protocol_members( instance, template, original_actual, template ) ) template.type.inferring.pop() return res elif ( instance.type.is_protocol and self.direction == SUBTYPE_OF and # We avoid infinite recursion for structural subtypes also here. not any(instance == i for i in reversed(instance.type.inferring)) and mypy.subtypes.is_protocol_implementation(erased, instance, skip=["__call__"]) ): instance.type.inferring.append(instance) res.extend( self.infer_constraints_from_protocol_members( instance, template, template, instance ) ) instance.type.inferring.pop() return res if res: return res if isinstance(actual, AnyType): return self.infer_against_any(template.args, actual) if ( isinstance(actual, TupleType) and is_named_instance(template, TUPLE_LIKE_INSTANCE_NAMES) and self.direction == SUPERTYPE_OF ): for item in actual.items: if isinstance(item, UnpackType): unpacked = get_proper_type(item.type) if isinstance(unpacked, TypeVarTupleType): # Cannot infer anything for T from [T, ...] <: *Ts continue assert ( isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" ) item = unpacked.args[0] cb = infer_constraints(template.args[0], item, SUPERTYPE_OF) res.extend(cb) return res elif isinstance(actual, TupleType) and self.direction == SUPERTYPE_OF: return infer_constraints(template, mypy.typeops.tuple_fallback(actual), self.direction) elif isinstance(actual, TypeVarType): if not actual.values and not actual.id.is_meta_var(): return infer_constraints(template, actual.upper_bound, self.direction) return [] elif isinstance(actual, ParamSpecType): return infer_constraints(template, actual.upper_bound, self.direction) elif isinstance(actual, TypeVarTupleType): raise NotImplementedError else: return [] def infer_constraints_from_protocol_members( self, instance: Instance, template: Instance, subtype: Type, protocol: Instance, class_obj: bool = False, ) -> list[Constraint]: """Infer constraints for situations where either 'template' or 'instance' is a protocol. The 'protocol' is the one of two that is an instance of protocol type, 'subtype' is the type used to bind self during inference. Currently, we just infer constrains for every protocol member type (both ways for settable members). """ res = [] for member in protocol.type.protocol_members: inst = mypy.subtypes.find_member(member, instance, subtype, class_obj=class_obj) temp = mypy.subtypes.find_member(member, template, subtype) if inst is None or temp is None: if member == "__call__": continue return [] # See #11020 # The above is safe since at this point we know that 'instance' is a subtype # of (erased) 'template', therefore it defines all protocol members if class_obj: # For class objects we must only infer constraints if possible, otherwise it # can lead to confusion between class and instance, for example StrEnum is # Iterable[str] for an instance, but Iterable[StrEnum] for a class object. if not mypy.subtypes.is_subtype( inst, erase_typevars(temp), ignore_pos_arg_names=True ): continue # This exception matches the one in typeops.py, see PR #14121 for context. if member == "__call__" and instance.type.is_metaclass(precise=True): continue res.extend(infer_constraints(temp, inst, self.direction)) if mypy.subtypes.IS_SETTABLE in mypy.subtypes.get_member_flags(member, protocol): # Settable members are invariant, add opposite constraints res.extend(infer_constraints(temp, inst, neg_op(self.direction))) return res def visit_callable_type(self, template: CallableType) -> list[Constraint]: # Normalize callables before matching against each other. # Note that non-normalized callables can be created in annotations # using e.g. callback protocols. # TODO: check that callables match? Ideally we should not infer constraints # callables that can never be subtypes of one another in given direction. template = template.with_unpacked_kwargs().with_normalized_var_args() extra_tvars = False if isinstance(self.actual, CallableType): res: list[Constraint] = [] cactual = self.actual.with_unpacked_kwargs().with_normalized_var_args() param_spec = template.param_spec() template_ret_type, cactual_ret_type = template.ret_type, cactual.ret_type if template.type_guard is not None and cactual.type_guard is not None: template_ret_type = template.type_guard cactual_ret_type = cactual.type_guard if template.type_is is not None and cactual.type_is is not None: template_ret_type = template.type_is cactual_ret_type = cactual.type_is res.extend(infer_constraints(template_ret_type, cactual_ret_type, self.direction)) if param_spec is None: # TODO: Erase template variables if it is generic? if ( type_state.infer_polymorphic and cactual.variables and not self.skip_neg_op # Technically, the correct inferred type for application of e.g. # Callable[..., T] -> Callable[..., T] (with literal ellipsis), to a generic # like U -> U, should be Callable[..., Any], but if U is a self-type, we can # allow it to leak, to be later bound to self. A bunch of existing code # depends on this old behaviour. and not ( any(tv.id.is_self() for tv in cactual.variables) and template.is_ellipsis_args ) ): # If the actual callable is generic, infer constraints in the opposite # direction, and indicate to the solver there are extra type variables # to solve for (see more details in mypy/solve.py). res.extend( infer_constraints( cactual, template, neg_op(self.direction), skip_neg_op=True ) ) extra_tvars = True # We can't infer constraints from arguments if the template is Callable[..., T] # (with literal '...'). if not template.is_ellipsis_args: unpack_present = find_unpack_in_list(template.arg_types) # When both ParamSpec and TypeVarTuple are present, things become messy # quickly. For now, we only allow ParamSpec to "capture" TypeVarTuple, # but not vice versa. # TODO: infer more from prefixes when possible. if unpack_present is not None and not cactual.param_spec(): # We need to re-normalize args to the form they appear in tuples, # for callables we always pack the suffix inside another tuple. unpack = template.arg_types[unpack_present] assert isinstance(unpack, UnpackType) tuple_type = get_tuple_fallback_from_unpack(unpack) template_types = repack_callable_args(template, tuple_type) actual_types = repack_callable_args(cactual, tuple_type) # Now we can use the same general helper as for tuple types. unpack_constraints = build_constraints_for_simple_unpack( template_types, actual_types, neg_op(self.direction) ) res.extend(unpack_constraints) else: # TODO: do we need some special-casing when unpack is present in actual # callable but not in template callable? res.extend( infer_callable_arguments_constraints(template, cactual, self.direction) ) else: prefix = param_spec.prefix prefix_len = len(prefix.arg_types) cactual_ps = cactual.param_spec() if type_state.infer_polymorphic and cactual.variables and not self.skip_neg_op: # Similar logic to the branch above. res.extend( infer_constraints( cactual, template, neg_op(self.direction), skip_neg_op=True ) ) extra_tvars = True # Compare prefixes as well cactual_prefix = cactual.copy_modified( arg_types=cactual.arg_types[:prefix_len], arg_kinds=cactual.arg_kinds[:prefix_len], arg_names=cactual.arg_names[:prefix_len], ) res.extend( infer_callable_arguments_constraints(prefix, cactual_prefix, self.direction) ) param_spec_target: Type | None = None if not cactual_ps: max_prefix_len = len([k for k in cactual.arg_kinds if k in (ARG_POS, ARG_OPT)]) prefix_len = min(prefix_len, max_prefix_len) param_spec_target = Parameters( arg_types=cactual.arg_types[prefix_len:], arg_kinds=cactual.arg_kinds[prefix_len:], arg_names=cactual.arg_names[prefix_len:], variables=cactual.variables if not type_state.infer_polymorphic else [], imprecise_arg_kinds=cactual.imprecise_arg_kinds, ) else: if len(param_spec.prefix.arg_types) <= len(cactual_ps.prefix.arg_types): param_spec_target = cactual_ps.copy_modified( prefix=Parameters( arg_types=cactual_ps.prefix.arg_types[prefix_len:], arg_kinds=cactual_ps.prefix.arg_kinds[prefix_len:], arg_names=cactual_ps.prefix.arg_names[prefix_len:], imprecise_arg_kinds=cactual_ps.prefix.imprecise_arg_kinds, ) ) if param_spec_target is not None: res.append(Constraint(param_spec, self.direction, param_spec_target)) if extra_tvars: for c in res: c.extra_tvars += cactual.variables return res elif isinstance(self.actual, AnyType): param_spec = template.param_spec() any_type = AnyType(TypeOfAny.from_another_any, source_any=self.actual) if param_spec is None: # FIX what if generic res = self.infer_against_any(template.arg_types, self.actual) else: res = [ Constraint( param_spec, SUBTYPE_OF, Parameters([any_type, any_type], [ARG_STAR, ARG_STAR2], [None, None]), ) ] res.extend(infer_constraints(template.ret_type, any_type, self.direction)) return res elif isinstance(self.actual, Overloaded): return self.infer_against_overloaded(self.actual, template) elif isinstance(self.actual, TypeType): return infer_constraints(template.ret_type, self.actual.item, self.direction) elif isinstance(self.actual, Instance): # Instances with __call__ method defined are considered structural # subtypes of Callable with a compatible signature. call = mypy.subtypes.find_member( "__call__", self.actual, self.actual, is_operator=True ) if call: return infer_constraints(template, call, self.direction) else: return [] else: return [] def infer_against_overloaded( self, overloaded: Overloaded, template: CallableType ) -> list[Constraint]: # Create constraints by matching an overloaded type against a template. # This is tricky to do in general. We cheat by only matching against # the first overload item that is callable compatible. This # seems to work somewhat well, but we should really use a more # reliable technique. item = find_matching_overload_item(overloaded, template) return infer_constraints(template, item, self.direction) def visit_tuple_type(self, template: TupleType) -> list[Constraint]: actual = self.actual unpack_index = find_unpack_in_list(template.items) is_varlength_tuple = ( isinstance(actual, Instance) and actual.type.fullname == "builtins.tuple" ) if isinstance(actual, TupleType) or is_varlength_tuple: res: list[Constraint] = [] if unpack_index is not None: if is_varlength_tuple: # Variadic tuple can be only a supertype of a tuple type, but even if # direction is opposite, inferring something may give better error messages. unpack_type = template.items[unpack_index] assert isinstance(unpack_type, UnpackType) unpacked_type = get_proper_type(unpack_type.type) if isinstance(unpacked_type, TypeVarTupleType): res = [ Constraint(type_var=unpacked_type, op=self.direction, target=actual) ] else: assert ( isinstance(unpacked_type, Instance) and unpacked_type.type.fullname == "builtins.tuple" ) res = infer_constraints(unpacked_type, actual, self.direction) assert isinstance(actual, Instance) # ensured by is_varlength_tuple == True for i, ti in enumerate(template.items): if i == unpack_index: # This one we just handled above. continue # For Tuple[T, *Ts, S] <: tuple[X, ...] infer also T <: X and S <: X. res.extend(infer_constraints(ti, actual.args[0], self.direction)) return res else: assert isinstance(actual, TupleType) unpack_constraints = build_constraints_for_simple_unpack( template.items, actual.items, self.direction ) actual_items: tuple[Type, ...] = () template_items: tuple[Type, ...] = () res.extend(unpack_constraints) elif isinstance(actual, TupleType): a_unpack_index = find_unpack_in_list(actual.items) if a_unpack_index is not None: # The case where template tuple doesn't have an unpack, but actual tuple # has an unpack. We can infer something if actual unpack is a variadic tuple. # Tuple[T, S, U] <: tuple[X, *tuple[Y, ...], Z] => T <: X, S <: Y, U <: Z. a_unpack = actual.items[a_unpack_index] assert isinstance(a_unpack, UnpackType) a_unpacked = get_proper_type(a_unpack.type) if len(actual.items) + 1 <= len(template.items): a_prefix_len = a_unpack_index a_suffix_len = len(actual.items) - a_unpack_index - 1 t_prefix, t_middle, t_suffix = split_with_prefix_and_suffix( tuple(template.items), a_prefix_len, a_suffix_len ) actual_items = tuple(actual.items[:a_prefix_len]) if a_suffix_len: actual_items += tuple(actual.items[-a_suffix_len:]) template_items = t_prefix + t_suffix if isinstance(a_unpacked, Instance): assert a_unpacked.type.fullname == "builtins.tuple" for tm in t_middle: res.extend( infer_constraints(tm, a_unpacked.args[0], self.direction) ) else: actual_items = () template_items = () else: actual_items = tuple(actual.items) template_items = tuple(template.items) else: return res # Cases above will return if actual wasn't a TupleType. assert isinstance(actual, TupleType) if len(actual_items) == len(template_items): if ( actual.partial_fallback.type.is_named_tuple and template.partial_fallback.type.is_named_tuple ): # For named tuples using just the fallbacks usually gives better results. return res + infer_constraints( template.partial_fallback, actual.partial_fallback, self.direction ) for i in range(len(template_items)): res.extend( infer_constraints(template_items[i], actual_items[i], self.direction) ) res.extend( infer_constraints( template.partial_fallback, actual.partial_fallback, self.direction ) ) return res elif isinstance(actual, AnyType): return self.infer_against_any(template.items, actual) else: return [] def visit_typeddict_type(self, template: TypedDictType) -> list[Constraint]: actual = self.actual if isinstance(actual, TypedDictType): res: list[Constraint] = [] # NOTE: Non-matching keys are ignored. Compatibility is checked # elsewhere so this shouldn't be unsafe. for item_name, template_item_type, actual_item_type in template.zip(actual): res.extend(infer_constraints(template_item_type, actual_item_type, self.direction)) return res elif isinstance(actual, AnyType): return self.infer_against_any(template.items.values(), actual) else: return [] def visit_union_type(self, template: UnionType) -> list[Constraint]: assert False, ( "Unexpected UnionType in ConstraintBuilderVisitor" " (should have been handled in infer_constraints)" ) def visit_type_alias_type(self, template: TypeAliasType) -> list[Constraint]: assert False, f"This should be never called, got {template}" def infer_against_any(self, types: Iterable[Type], any_type: AnyType) -> list[Constraint]: res: list[Constraint] = [] # Some items may be things like `*Tuple[*Ts, T]` for example from callable types with # suffix after *arg, so flatten them. for t in flatten_nested_tuples(types): if isinstance(t, UnpackType): if isinstance(t.type, TypeVarTupleType): res.append(Constraint(t.type, self.direction, any_type)) else: unpacked = get_proper_type(t.type) assert isinstance(unpacked, Instance) res.extend(infer_constraints(unpacked, any_type, self.direction)) else: # Note that we ignore variance and simply always use the # original direction. This is because for Any targets direction is # irrelevant in most cases, see e.g. is_same_constraint(). res.extend(infer_constraints(t, any_type, self.direction)) return res def visit_overloaded(self, template: Overloaded) -> list[Constraint]: if isinstance(self.actual, CallableType): items = find_matching_overload_items(template, self.actual) else: items = template.items res: list[Constraint] = [] for t in items: res.extend(infer_constraints(t, self.actual, self.direction)) return res def visit_type_type(self, template: TypeType) -> list[Constraint]: if isinstance(self.actual, CallableType): return infer_constraints(template.item, self.actual.ret_type, self.direction) elif isinstance(self.actual, Overloaded): return infer_constraints(template.item, self.actual.items[0].ret_type, self.direction) elif isinstance(self.actual, TypeType): return infer_constraints(template.item, self.actual.item, self.direction) elif isinstance(self.actual, AnyType): return infer_constraints(template.item, self.actual, self.direction) else: return [] def neg_op(op: int) -> int: """Map SubtypeOf to SupertypeOf and vice versa.""" if op == SUBTYPE_OF: return SUPERTYPE_OF elif op == SUPERTYPE_OF: return SUBTYPE_OF else: raise ValueError(f"Invalid operator {op}") def find_matching_overload_item(overloaded: Overloaded, template: CallableType) -> CallableType: """Disambiguate overload item against a template.""" items = overloaded.items for item in items: # Return type may be indeterminate in the template, so ignore it when performing a # subtype check. if mypy.subtypes.is_callable_compatible( item, template, is_compat=mypy.subtypes.is_subtype, is_proper_subtype=False, ignore_return=True, ): return item # Fall back to the first item if we can't find a match. This is totally arbitrary -- # maybe we should just bail out at this point. return items[0] def find_matching_overload_items( overloaded: Overloaded, template: CallableType ) -> list[CallableType]: """Like find_matching_overload_item, but return all matches, not just the first.""" items = overloaded.items res = [] for item in items: # Return type may be indeterminate in the template, so ignore it when performing a # subtype check. if mypy.subtypes.is_callable_compatible( item, template, is_compat=mypy.subtypes.is_subtype, is_proper_subtype=False, ignore_return=True, ): res.append(item) if not res: # Falling back to all items if we can't find a match is pretty arbitrary, but # it maintains backward compatibility. res = items.copy() return res def get_tuple_fallback_from_unpack(unpack: UnpackType) -> TypeInfo: """Get builtins.tuple type from available types to construct homogeneous tuples.""" tp = get_proper_type(unpack.type) if isinstance(tp, Instance) and tp.type.fullname == "builtins.tuple": return tp.type if isinstance(tp, TypeVarTupleType): return tp.tuple_fallback.type if isinstance(tp, TupleType): for base in tp.partial_fallback.type.mro: if base.fullname == "builtins.tuple": return base assert False, "Invalid unpack type" def repack_callable_args(callable: CallableType, tuple_type: TypeInfo) -> list[Type]: """Present callable with star unpack in a normalized form. Since positional arguments cannot follow star argument, they are packed in a suffix, while prefix is represented as individual positional args. We want to put all in a single list with unpack in the middle, and prefix/suffix on the sides (as they would appear in e.g. a TupleType). """ if ARG_STAR not in callable.arg_kinds: return callable.arg_types star_index = callable.arg_kinds.index(ARG_STAR) arg_types = callable.arg_types[:star_index] star_type = callable.arg_types[star_index] suffix_types = [] if not isinstance(star_type, UnpackType): # Re-normalize *args: X -> *args: *tuple[X, ...] star_type = UnpackType(Instance(tuple_type, [star_type])) else: tp = get_proper_type(star_type.type) if isinstance(tp, TupleType): assert isinstance(tp.items[0], UnpackType) star_type = tp.items[0] suffix_types = tp.items[1:] return arg_types + [star_type] + suffix_types def build_constraints_for_simple_unpack( template_args: list[Type], actual_args: list[Type], direction: int ) -> list[Constraint]: """Infer constraints between two lists of types with variadic items. This function is only supposed to be called when a variadic item is present in templates. If there is no variadic item the actuals, we simply use split_with_prefix_and_suffix() and infer prefix <: prefix, suffix <: suffix, variadic <: middle. If there is a variadic item in the actuals we need to be more careful, only common prefix/suffix can generate constraints, also we can only infer constraints for variadic template item, if template prefix/suffix are shorter that actual ones, otherwise there may be partial overlap between variadic items, for example if template prefix is longer: templates: T1, T2, Ts, Ts, Ts, ... actuals: A1, As, As, As, ... Note: this function can only be called for builtin variadic constructors: Tuple and Callable. For instances, you should first find correct type argument mapping. """ template_unpack = find_unpack_in_list(template_args) assert template_unpack is not None template_prefix = template_unpack template_suffix = len(template_args) - template_prefix - 1 t_unpack = None res = [] actual_unpack = find_unpack_in_list(actual_args) if actual_unpack is None: t_unpack = template_args[template_unpack] if template_prefix + template_suffix > len(actual_args): # These can't be subtypes of each-other, return fast. assert isinstance(t_unpack, UnpackType) if isinstance(t_unpack.type, TypeVarTupleType): # Set TypeVarTuple to empty to improve error messages. return [ Constraint( t_unpack.type, direction, TupleType([], t_unpack.type.tuple_fallback) ) ] else: return [] common_prefix = template_prefix common_suffix = template_suffix else: actual_prefix = actual_unpack actual_suffix = len(actual_args) - actual_prefix - 1 common_prefix = min(template_prefix, actual_prefix) common_suffix = min(template_suffix, actual_suffix) if actual_prefix >= template_prefix and actual_suffix >= template_suffix: # This is the only case where we can guarantee there will be no partial overlap # (note however partial overlap is OK for variadic tuples, it is handled below). t_unpack = template_args[template_unpack] # Handle constraints from prefixes/suffixes first. start, middle, end = split_with_prefix_and_suffix( tuple(actual_args), common_prefix, common_suffix ) for t, a in zip(template_args[:common_prefix], start): res.extend(infer_constraints(t, a, direction)) if common_suffix: for t, a in zip(template_args[-common_suffix:], end): res.extend(infer_constraints(t, a, direction)) if t_unpack is not None: # Add constraint(s) for variadic item when possible. assert isinstance(t_unpack, UnpackType) tp = get_proper_type(t_unpack.type) if isinstance(tp, Instance) and tp.type.fullname == "builtins.tuple": # Homogeneous case *tuple[T, ...] <: [X, Y, Z, ...]. for a in middle: # TODO: should we use union instead of join here? if not isinstance(a, UnpackType): res.extend(infer_constraints(tp.args[0], a, direction)) else: a_tp = get_proper_type(a.type) # This is the case *tuple[T, ...] <: *tuple[A, ...]. if isinstance(a_tp, Instance) and a_tp.type.fullname == "builtins.tuple": res.extend(infer_constraints(tp.args[0], a_tp.args[0], direction)) elif isinstance(tp, TypeVarTupleType): res.append(Constraint(tp, direction, TupleType(list(middle), tp.tuple_fallback))) elif actual_unpack is not None: # A special case for a variadic tuple unpack, we simply infer T <: X from # Tuple[..., *tuple[T, ...], ...] <: Tuple[..., *tuple[X, ...], ...]. actual_unpack_type = actual_args[actual_unpack] assert isinstance(actual_unpack_type, UnpackType) a_unpacked = get_proper_type(actual_unpack_type.type) if isinstance(a_unpacked, Instance) and a_unpacked.type.fullname == "builtins.tuple": t_unpack = template_args[template_unpack] assert isinstance(t_unpack, UnpackType) tp = get_proper_type(t_unpack.type) if isinstance(tp, Instance) and tp.type.fullname == "builtins.tuple": res.extend(infer_constraints(tp.args[0], a_unpacked.args[0], direction)) return res def infer_directed_arg_constraints(left: Type, right: Type, direction: int) -> list[Constraint]: """Infer constraints between two arguments using direction between original callables.""" if isinstance(left, (ParamSpecType, UnpackType)) or isinstance( right, (ParamSpecType, UnpackType) ): # This avoids bogus constraints like T <: P.args # TODO: can we infer something useful for *T vs P? return [] if direction == SUBTYPE_OF: # We invert direction to account for argument contravariance. return infer_constraints(left, right, neg_op(direction)) else: return infer_constraints(right, left, neg_op(direction)) def infer_callable_arguments_constraints( template: NormalizedCallableType | Parameters, actual: NormalizedCallableType | Parameters, direction: int, ) -> list[Constraint]: """Infer constraints between argument types of two callables. This function essentially extracts four steps from are_parameters_compatible() in subtypes.py that involve subtype checks between argument types. We keep the argument matching logic, but ignore various strictness flags present there, and checks that do not involve subtyping. Then in place of every subtype check we put an infer_constraints() call for the same types. """ res = [] if direction == SUBTYPE_OF: left, right = template, actual else: left, right = actual, template left_star = left.var_arg() left_star2 = left.kw_arg() right_star = right.var_arg() right_star2 = right.kw_arg() # Numbering of steps below matches the one in are_parameters_compatible() for convenience. # Phase 1a: compare star vs star arguments. if left_star is not None and right_star is not None: res.extend(infer_directed_arg_constraints(left_star.typ, right_star.typ, direction)) if left_star2 is not None and right_star2 is not None: res.extend(infer_directed_arg_constraints(left_star2.typ, right_star2.typ, direction)) # Phase 1b: compare left args with corresponding non-star right arguments. for right_arg in right.formal_arguments(): left_arg = mypy.typeops.callable_corresponding_argument(left, right_arg) if left_arg is None: continue res.extend(infer_directed_arg_constraints(left_arg.typ, right_arg.typ, direction)) # Phase 1c: compare left args with right *args. if right_star is not None: right_by_position = right.try_synthesizing_arg_from_vararg(None) assert right_by_position is not None i = right_star.pos assert i is not None while i < len(left.arg_kinds) and left.arg_kinds[i].is_positional(): left_by_position = left.argument_by_position(i) assert left_by_position is not None res.extend( infer_directed_arg_constraints( left_by_position.typ, right_by_position.typ, direction ) ) i += 1 # Phase 1d: compare left args with right **kwargs. if right_star2 is not None: right_names = {name for name in right.arg_names if name is not None} left_only_names = set() for name, kind in zip(left.arg_names, left.arg_kinds): if name is None or kind.is_star() or name in right_names: continue left_only_names.add(name) right_by_name = right.try_synthesizing_arg_from_kwarg(None) assert right_by_name is not None for name in left_only_names: left_by_name = left.argument_by_name(name) assert left_by_name is not None res.extend( infer_directed_arg_constraints(left_by_name.typ, right_by_name.typ, direction) ) return res def filter_imprecise_kinds(cs: list[Constraint]) -> list[Constraint]: """For each ParamSpec remove all imprecise constraints, if at least one precise available.""" have_precise = set() for c in cs: if not isinstance(c.origin_type_var, ParamSpecType): continue if ( isinstance(c.target, ParamSpecType) or isinstance(c.target, Parameters) and not c.target.imprecise_arg_kinds ): have_precise.add(c.type_var) new_cs = [] for c in cs: if not isinstance(c.origin_type_var, ParamSpecType) or c.type_var not in have_precise: new_cs.append(c) if not isinstance(c.target, Parameters) or not c.target.imprecise_arg_kinds: new_cs.append(c) return new_cs ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/copytype.py0000644000175100017510000001060015112307767015500 0ustar00runnerrunnerfrom __future__ import annotations from typing import Any, cast from mypy.types import ( AnyType, CallableType, DeletedType, ErasedType, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, TypeAliasType, TypedDictType, TypeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, ) # type_visitor needs to be imported after types from mypy.type_visitor import TypeVisitor # ruff: isort: skip def copy_type(t: ProperType) -> ProperType: """Create a shallow copy of a type. This can be used to mutate the copy with truthiness information. Classes compiled with mypyc don't support copy.copy(), so we need a custom implementation. """ return t.accept(TypeShallowCopier()) class TypeShallowCopier(TypeVisitor[ProperType]): def visit_unbound_type(self, t: UnboundType) -> ProperType: return t def visit_any(self, t: AnyType) -> ProperType: return self.copy_common(t, AnyType(t.type_of_any, t.source_any, t.missing_import_name)) def visit_none_type(self, t: NoneType) -> ProperType: return self.copy_common(t, NoneType()) def visit_uninhabited_type(self, t: UninhabitedType) -> ProperType: dup = UninhabitedType() dup.ambiguous = t.ambiguous return self.copy_common(t, dup) def visit_erased_type(self, t: ErasedType) -> ProperType: return self.copy_common(t, ErasedType()) def visit_deleted_type(self, t: DeletedType) -> ProperType: return self.copy_common(t, DeletedType(t.source)) def visit_instance(self, t: Instance) -> ProperType: dup = Instance(t.type, t.args, last_known_value=t.last_known_value) dup.invalid = t.invalid return self.copy_common(t, dup) def visit_type_var(self, t: TypeVarType) -> ProperType: return self.copy_common(t, t.copy_modified()) def visit_param_spec(self, t: ParamSpecType) -> ProperType: dup = ParamSpecType( t.name, t.fullname, t.id, t.flavor, t.upper_bound, t.default, prefix=t.prefix ) return self.copy_common(t, dup) def visit_parameters(self, t: Parameters) -> ProperType: dup = Parameters( t.arg_types, t.arg_kinds, t.arg_names, variables=t.variables, is_ellipsis_args=t.is_ellipsis_args, ) return self.copy_common(t, dup) def visit_type_var_tuple(self, t: TypeVarTupleType) -> ProperType: dup = TypeVarTupleType( t.name, t.fullname, t.id, t.upper_bound, t.tuple_fallback, t.default ) return self.copy_common(t, dup) def visit_unpack_type(self, t: UnpackType) -> ProperType: dup = UnpackType(t.type) return self.copy_common(t, dup) def visit_partial_type(self, t: PartialType) -> ProperType: return self.copy_common(t, PartialType(t.type, t.var, t.value_type)) def visit_callable_type(self, t: CallableType) -> ProperType: return self.copy_common(t, t.copy_modified()) def visit_tuple_type(self, t: TupleType) -> ProperType: return self.copy_common(t, TupleType(t.items, t.partial_fallback, implicit=t.implicit)) def visit_typeddict_type(self, t: TypedDictType) -> ProperType: return self.copy_common( t, TypedDictType(t.items, t.required_keys, t.readonly_keys, t.fallback) ) def visit_literal_type(self, t: LiteralType) -> ProperType: return self.copy_common(t, LiteralType(value=t.value, fallback=t.fallback)) def visit_union_type(self, t: UnionType) -> ProperType: return self.copy_common(t, UnionType(t.items)) def visit_overloaded(self, t: Overloaded) -> ProperType: return self.copy_common(t, Overloaded(items=t.items)) def visit_type_type(self, t: TypeType) -> ProperType: # Use cast since the type annotations in TypeType are imprecise. return self.copy_common(t, TypeType(cast(Any, t.item), is_type_form=t.is_type_form)) def visit_type_alias_type(self, t: TypeAliasType) -> ProperType: assert False, "only ProperTypes supported" def copy_common(self, t: ProperType, t2: ProperType) -> ProperType: t2.line = t.line t2.column = t.column t2.can_be_false = t.can_be_false t2.can_be_true = t.can_be_true return t2 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/defaults.py0000644000175100017510000000272515112307767015444 0ustar00runnerrunnerfrom __future__ import annotations import os from typing import Final # Earliest fully supported Python 3.x version. Used as the default Python # version in tests. Mypy wheels should be built starting with this version, # and CI tests should be run on this version (and later versions). PYTHON3_VERSION: Final = (3, 9) # Earliest Python 3.x version supported via --python-version 3.x. To run # mypy, at least version PYTHON3_VERSION is needed. PYTHON3_VERSION_MIN: Final = (3, 9) # Keep in sync with typeshed's python support CACHE_DIR: Final = ".mypy_cache" CONFIG_NAMES: Final = ["mypy.ini", ".mypy.ini"] SHARED_CONFIG_NAMES: Final = ["pyproject.toml", "setup.cfg"] USER_CONFIG_FILES: list[str] = ["~/.config/mypy/config", "~/.mypy.ini"] if os.environ.get("XDG_CONFIG_HOME"): USER_CONFIG_FILES.insert(0, os.path.join(os.environ["XDG_CONFIG_HOME"], "mypy/config")) USER_CONFIG_FILES = [os.path.expanduser(f) for f in USER_CONFIG_FILES] # This must include all reporters defined in mypy.report. This is defined here # to make reporter names available without importing mypy.report -- this speeds # up startup. REPORTER_NAMES: Final = [ "linecount", "any-exprs", "linecoverage", "memory-xml", "cobertura-xml", "xml", "xslt-html", "xslt-txt", "html", "txt", "lineprecision", ] # Threshold after which we sometimes filter out most errors to avoid very # verbose output. The default is to show all errors. MANY_ERRORS_THRESHOLD: Final = -1 ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4787645 mypy-1.19.0/mypy/dmypy/0000755000175100017510000000000015112310011014367 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/dmypy/__init__.py0000644000175100017510000000000015112307767016516 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/dmypy/__main__.py0000644000175100017510000000020015112307767016501 0ustar00runnerrunnerfrom __future__ import annotations from mypy.dmypy.client import console_entry if __name__ == "__main__": console_entry() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/dmypy/client.py0000644000175100017510000006074515112307767016263 0ustar00runnerrunner"""Client for mypy daemon mode. This manages a daemon process which keeps useful state in memory rather than having to read it back from disk on each run. """ from __future__ import annotations import argparse import base64 import json import os import pickle import sys import time import traceback from collections.abc import Mapping from typing import Any, Callable, NoReturn from mypy.dmypy_os import alive, kill from mypy.dmypy_util import DEFAULT_STATUS_FILE, receive, send from mypy.ipc import IPCClient, IPCException from mypy.main import RECURSION_LIMIT from mypy.util import check_python_version, get_terminal_width, should_force_color from mypy.version import __version__ # Argument parser. Subparsers are tied to action functions by the # @action(subparse) decorator. class AugmentedHelpFormatter(argparse.RawDescriptionHelpFormatter): def __init__(self, prog: str, **kwargs: Any) -> None: super().__init__(prog=prog, max_help_position=30, **kwargs) parser = argparse.ArgumentParser( prog="dmypy", description="Client for mypy daemon mode", fromfile_prefix_chars="@" ) parser.set_defaults(action=None) parser.add_argument( "--status-file", default=DEFAULT_STATUS_FILE, help="status file to retrieve daemon details" ) parser.add_argument( "-V", "--version", action="version", version="%(prog)s " + __version__, help="Show program's version number and exit", ) subparsers = parser.add_subparsers() start_parser = p = subparsers.add_parser("start", help="Start daemon") p.add_argument("--log-file", metavar="FILE", type=str, help="Direct daemon stdout/stderr to FILE") p.add_argument( "--timeout", metavar="TIMEOUT", type=int, help="Server shutdown timeout (in seconds)" ) p.add_argument( "flags", metavar="FLAG", nargs="*", type=str, help="Regular mypy flags (precede with --)" ) restart_parser = p = subparsers.add_parser( "restart", help="Restart daemon (stop or kill followed by start)" ) p.add_argument("--log-file", metavar="FILE", type=str, help="Direct daemon stdout/stderr to FILE") p.add_argument( "--timeout", metavar="TIMEOUT", type=int, help="Server shutdown timeout (in seconds)" ) p.add_argument( "flags", metavar="FLAG", nargs="*", type=str, help="Regular mypy flags (precede with --)" ) status_parser = p = subparsers.add_parser("status", help="Show daemon status") p.add_argument("-v", "--verbose", action="store_true", help="Print detailed status") p.add_argument("--fswatcher-dump-file", help="Collect information about the current file state") stop_parser = p = subparsers.add_parser("stop", help="Stop daemon (asks it politely to go away)") kill_parser = p = subparsers.add_parser("kill", help="Kill daemon (kills the process)") check_parser = p = subparsers.add_parser( "check", formatter_class=AugmentedHelpFormatter, help="Check some files (requires daemon)" ) p.add_argument("-v", "--verbose", action="store_true", help="Print detailed status") p.add_argument("-q", "--quiet", action="store_true", help=argparse.SUPPRESS) # Deprecated p.add_argument("--junit-xml", help="Write junit.xml to the given file") p.add_argument("--perf-stats-file", help="write performance information to the given file") p.add_argument("files", metavar="FILE", nargs="+", help="File (or directory) to check") p.add_argument( "--export-types", action="store_true", help="Store types of all expressions in a shared location (useful for inspections)", ) run_parser = p = subparsers.add_parser( "run", formatter_class=AugmentedHelpFormatter, help="Check some files, [re]starting daemon if necessary", ) p.add_argument("-v", "--verbose", action="store_true", help="Print detailed status") p.add_argument("--junit-xml", help="Write junit.xml to the given file") p.add_argument("--perf-stats-file", help="write performance information to the given file") p.add_argument( "--timeout", metavar="TIMEOUT", type=int, help="Server shutdown timeout (in seconds)" ) p.add_argument("--log-file", metavar="FILE", type=str, help="Direct daemon stdout/stderr to FILE") p.add_argument( "--export-types", action="store_true", help="Store types of all expressions in a shared location (useful for inspections)", ) p.add_argument( "flags", metavar="ARG", nargs="*", type=str, help="Regular mypy flags and files (precede with --)", ) recheck_parser = p = subparsers.add_parser( "recheck", formatter_class=AugmentedHelpFormatter, help="Re-check the previous list of files, with optional modifications (requires daemon)", ) p.add_argument("-v", "--verbose", action="store_true", help="Print detailed status") p.add_argument("-q", "--quiet", action="store_true", help=argparse.SUPPRESS) # Deprecated p.add_argument("--junit-xml", help="Write junit.xml to the given file") p.add_argument("--perf-stats-file", help="write performance information to the given file") p.add_argument( "--export-types", action="store_true", help="Store types of all expressions in a shared location (useful for inspections)", ) p.add_argument( "--update", metavar="FILE", nargs="*", help="Files in the run to add or check again (default: all from previous run)", ) p.add_argument("--remove", metavar="FILE", nargs="*", help="Files to remove from the run") suggest_parser = p = subparsers.add_parser( "suggest", help="Suggest a signature or show call sites for a specific function" ) p.add_argument( "function", metavar="FUNCTION", type=str, help="Function specified as '[package.]module.[class.]function'", ) p.add_argument( "--json", action="store_true", help="Produce json that pyannotate can use to apply a suggestion", ) p.add_argument( "--no-errors", action="store_true", help="Only produce suggestions that cause no errors" ) p.add_argument( "--no-any", action="store_true", help="Only produce suggestions that don't contain Any" ) p.add_argument( "--flex-any", type=float, help="Allow anys in types if they go above a certain score (scores are from 0-1)", ) p.add_argument( "--callsites", action="store_true", help="Find callsites instead of suggesting a type" ) p.add_argument( "--use-fixme", metavar="NAME", type=str, help="A dummy name to use instead of Any for types that can't be inferred", ) p.add_argument( "--max-guesses", type=int, help="Set the maximum number of types to try for a function (default 64)", ) inspect_parser = p = subparsers.add_parser( "inspect", help="Locate and statically inspect expression(s)" ) p.add_argument( "location", metavar="LOCATION", type=str, help="Location specified as path/to/file.py:line:column[:end_line:end_column]." " If position is given (i.e. only line and column), this will return all" " enclosing expressions", ) p.add_argument( "--show", metavar="INSPECTION", type=str, default="type", choices=["type", "attrs", "definition"], help="What kind of inspection to run", ) p.add_argument( "--verbose", "-v", action="count", default=0, help="Increase verbosity of the type string representation (can be repeated)", ) p.add_argument( "--limit", metavar="NUM", type=int, default=0, help="Return at most NUM innermost expressions (if position is given); 0 means no limit", ) p.add_argument( "--include-span", action="store_true", help="Prepend each inspection result with the span of corresponding expression" ' (e.g. 1:2:3:4:"int")', ) p.add_argument( "--include-kind", action="store_true", help="Prepend each inspection result with the kind of corresponding expression" ' (e.g. NameExpr:"int")', ) p.add_argument( "--include-object-attrs", action="store_true", help='Include attributes of "object" in "attrs" inspection', ) p.add_argument( "--union-attrs", action="store_true", help="Include attributes valid for some of possible expression types" " (by default an intersection is returned)", ) p.add_argument( "--force-reload", action="store_true", help="Re-parse and re-type-check file before inspection (may be slow)", ) hang_parser = p = subparsers.add_parser("hang", help="Hang for 100 seconds") daemon_parser = p = subparsers.add_parser("daemon", help="Run daemon in foreground") p.add_argument( "--timeout", metavar="TIMEOUT", type=int, help="Server shutdown timeout (in seconds)" ) p.add_argument("--log-file", metavar="FILE", type=str, help="Direct daemon stdout/stderr to FILE") p.add_argument( "flags", metavar="FLAG", nargs="*", type=str, help="Regular mypy flags (precede with --)" ) p.add_argument("--options-data", help=argparse.SUPPRESS) help_parser = p = subparsers.add_parser("help") del p class BadStatus(Exception): """Exception raised when there is something wrong with the status file. For example: - No status file found - Status file malformed - Process whose pid is in the status file does not exist """ def main(argv: list[str]) -> None: """The code is top-down.""" check_python_version("dmypy") # set recursion limit consistent with mypy/main.py sys.setrecursionlimit(RECURSION_LIMIT) args = parser.parse_args(argv) if not args.action: parser.print_usage() else: try: args.action(args) except BadStatus as err: fail(err.args[0]) except Exception: # We do this explicitly to avoid exceptions percolating up # through mypy.api invocations traceback.print_exc() sys.exit(2) def fail(msg: str) -> NoReturn: print(msg, file=sys.stderr) sys.exit(2) ActionFunction = Callable[[argparse.Namespace], None] def action(subparser: argparse.ArgumentParser) -> Callable[[ActionFunction], ActionFunction]: """Decorator to tie an action function to a subparser.""" def register(func: ActionFunction) -> ActionFunction: subparser.set_defaults(action=func) return func return register # Action functions (run in client from command line). @action(start_parser) def do_start(args: argparse.Namespace) -> None: """Start daemon (it must not already be running). This is where mypy flags are set from the command line. Setting flags is a bit awkward; you have to use e.g.: dmypy start -- --strict since we don't want to duplicate mypy's huge list of flags. """ try: get_status(args.status_file) except BadStatus: # Bad or missing status file or dead process; good to start. pass else: fail("Daemon is still alive") start_server(args) @action(restart_parser) def do_restart(args: argparse.Namespace) -> None: """Restart daemon (it may or may not be running; but not hanging). We first try to stop it politely if it's running. This also sets mypy flags from the command line (see do_start()). """ restart_server(args) def restart_server(args: argparse.Namespace, allow_sources: bool = False) -> None: """Restart daemon (it may or may not be running; but not hanging).""" try: do_stop(args) except BadStatus: # Bad or missing status file or dead process; good to start. pass start_server(args, allow_sources) def start_server(args: argparse.Namespace, allow_sources: bool = False) -> None: """Start the server from command arguments and wait for it.""" # Lazy import so this import doesn't slow down other commands. from mypy.dmypy_server import daemonize, process_start_options start_options = process_start_options(args.flags, allow_sources) if daemonize(start_options, args.status_file, timeout=args.timeout, log_file=args.log_file): sys.exit(2) wait_for_server(args.status_file) def wait_for_server(status_file: str, timeout: float = 5.0) -> None: """Wait until the server is up. Exit if it doesn't happen within the timeout. """ endtime = time.time() + timeout while time.time() < endtime: try: data = read_status(status_file) except BadStatus: # If the file isn't there yet, retry later. time.sleep(0.1) continue # If the file's content is bogus or the process is dead, fail. check_status(data) print("Daemon started") return fail("Timed out waiting for daemon to start") @action(run_parser) def do_run(args: argparse.Namespace) -> None: """Do a check, starting (or restarting) the daemon as necessary Restarts the daemon if the running daemon reports that it is required (due to a configuration change, for example). Setting flags is a bit awkward; you have to use e.g.: dmypy run -- --strict a.py b.py ... since we don't want to duplicate mypy's huge list of flags. (The -- is only necessary if flags are specified.) """ if not is_running(args.status_file): # Bad or missing status file or dead process; good to start. start_server(args, allow_sources=True) t0 = time.time() response = request( args.status_file, "run", version=__version__, args=args.flags, export_types=args.export_types, ) # If the daemon signals that a restart is necessary, do it if "restart" in response: print(f"Restarting: {response['restart']}") restart_server(args, allow_sources=True) response = request( args.status_file, "run", version=__version__, args=args.flags, export_types=args.export_types, ) t1 = time.time() response["roundtrip_time"] = t1 - t0 check_output(response, args.verbose, args.junit_xml, args.perf_stats_file) @action(status_parser) def do_status(args: argparse.Namespace) -> None: """Print daemon status. This verifies that it is responsive to requests. """ status = read_status(args.status_file) if args.verbose: show_stats(status) # Both check_status() and request() may raise BadStatus, # which will be handled by main(). check_status(status) response = request( args.status_file, "status", fswatcher_dump_file=args.fswatcher_dump_file, timeout=5 ) if args.verbose or "error" in response: show_stats(response) if "error" in response: fail(f"Daemon may be busy processing; if this persists, consider {sys.argv[0]} kill") print("Daemon is up and running") @action(stop_parser) def do_stop(args: argparse.Namespace) -> None: """Stop daemon via a 'stop' request.""" # May raise BadStatus, which will be handled by main(). response = request(args.status_file, "stop", timeout=5) if "error" in response: show_stats(response) fail(f"Daemon may be busy processing; if this persists, consider {sys.argv[0]} kill") else: print("Daemon stopped") @action(kill_parser) def do_kill(args: argparse.Namespace) -> None: """Kill daemon process with SIGKILL.""" pid, _ = get_status(args.status_file) try: kill(pid) except OSError as err: fail(str(err)) else: print("Daemon killed") @action(check_parser) def do_check(args: argparse.Namespace) -> None: """Ask the daemon to check a list of files.""" t0 = time.time() response = request(args.status_file, "check", files=args.files, export_types=args.export_types) t1 = time.time() response["roundtrip_time"] = t1 - t0 check_output(response, args.verbose, args.junit_xml, args.perf_stats_file) @action(recheck_parser) def do_recheck(args: argparse.Namespace) -> None: """Ask the daemon to recheck the previous list of files, with optional modifications. If at least one of --remove or --update is given, the server will update the list of files to check accordingly and assume that any other files are unchanged. If none of these flags are given, the server will call stat() on each file last checked to determine its status. Files given in --update ought to exist. Files given in --remove need not exist; if they don't they will be ignored. The lists may be empty but oughtn't contain duplicates or overlap. NOTE: The list of files is lost when the daemon is restarted. """ t0 = time.time() if args.remove is not None or args.update is not None: response = request( args.status_file, "recheck", export_types=args.export_types, remove=args.remove, update=args.update, ) else: response = request(args.status_file, "recheck", export_types=args.export_types) t1 = time.time() response["roundtrip_time"] = t1 - t0 check_output(response, args.verbose, args.junit_xml, args.perf_stats_file) @action(suggest_parser) def do_suggest(args: argparse.Namespace) -> None: """Ask the daemon for a suggested signature. This just prints whatever the daemon reports as output. For now it may be closer to a list of call sites. """ response = request( args.status_file, "suggest", function=args.function, json=args.json, callsites=args.callsites, no_errors=args.no_errors, no_any=args.no_any, flex_any=args.flex_any, use_fixme=args.use_fixme, max_guesses=args.max_guesses, ) check_output(response, verbose=False, junit_xml=None, perf_stats_file=None) @action(inspect_parser) def do_inspect(args: argparse.Namespace) -> None: """Ask daemon to print the type of an expression.""" response = request( args.status_file, "inspect", show=args.show, location=args.location, verbosity=args.verbose, limit=args.limit, include_span=args.include_span, include_kind=args.include_kind, include_object_attrs=args.include_object_attrs, union_attrs=args.union_attrs, force_reload=args.force_reload, ) check_output(response, verbose=False, junit_xml=None, perf_stats_file=None) def check_output( response: dict[str, Any], verbose: bool, junit_xml: str | None, perf_stats_file: str | None ) -> None: """Print the output from a check or recheck command. Call sys.exit() unless the status code is zero. """ if os.name == "nt": # Enable ANSI color codes for Windows cmd using this strange workaround # ( see https://github.com/python/cpython/issues/74261 ) os.system("") if "error" in response: fail(response["error"]) try: out, err, status_code = response["out"], response["err"], response["status"] except KeyError: fail(f"Response: {str(response)}") sys.stdout.write(out) sys.stdout.flush() sys.stderr.write(err) sys.stderr.flush() if verbose: show_stats(response) if junit_xml: # Lazy import so this import doesn't slow things down when not writing junit from mypy.util import write_junit_xml messages = (out + err).splitlines() write_junit_xml( response["roundtrip_time"], bool(err), {None: messages} if messages else {}, junit_xml, response["python_version"], response["platform"], ) if perf_stats_file: telemetry = response.get("stats", {}) with open(perf_stats_file, "w") as f: json.dump(telemetry, f) if status_code: sys.exit(status_code) def show_stats(response: Mapping[str, object]) -> None: for key, value in sorted(response.items()): if key in ("out", "err", "stdout", "stderr"): # Special case text output to display just 40 characters of text value = repr(value)[1:-1] if len(value) > 50: value = f"{value[:40]} ... {len(value)-40} more characters" print("%-24s: %s" % (key, value)) continue print("%-24s: %10s" % (key, "%.3f" % value if isinstance(value, float) else value)) @action(hang_parser) def do_hang(args: argparse.Namespace) -> None: """Hang for 100 seconds, as a debug hack.""" print(request(args.status_file, "hang", timeout=1)) @action(daemon_parser) def do_daemon(args: argparse.Namespace) -> None: """Serve requests in the foreground.""" # Lazy import so this import doesn't slow down other commands. from mypy.dmypy_server import Server, process_start_options if args.log_file: sys.stdout = sys.stderr = open(args.log_file, "a", buffering=1) fd = sys.stdout.fileno() os.dup2(fd, 2) os.dup2(fd, 1) if args.options_data: from mypy.options import Options options_dict = pickle.loads(base64.b64decode(args.options_data)) options_obj = Options() options = options_obj.apply_changes(options_dict) else: options = process_start_options(args.flags, allow_sources=False) Server(options, args.status_file, timeout=args.timeout).serve() @action(help_parser) def do_help(args: argparse.Namespace) -> None: """Print full help (same as dmypy --help).""" parser.print_help() # Client-side infrastructure. def request( status_file: str, command: str, *, timeout: int | None = None, **kwds: object ) -> dict[str, Any]: """Send a request to the daemon. Return the JSON dict with the response. Raise BadStatus if there is something wrong with the status file or if the process whose pid is in the status file has died. Return {'error': } if an IPC operation or receive() raised OSError. This covers cases such as connection refused or closed prematurely as well as invalid JSON received. """ response: dict[str, str] = {} args = dict(kwds) args["command"] = command # Tell the server whether this request was initiated from a human-facing terminal, # so that it can format the type checking output accordingly. args["is_tty"] = sys.stdout.isatty() or should_force_color() args["terminal_width"] = get_terminal_width() _, name = get_status(status_file) try: with IPCClient(name, timeout) as client: send(client, args) final = False while not final: response = receive(client) final = bool(response.pop("final", False)) # Display debugging output written to stdout/stderr in the server process for convenience. # This should not be confused with "out" and "err" fields in the response. # Those fields hold the output of the "check" command, and are handled in check_output(). stdout = response.pop("stdout", None) if stdout: sys.stdout.write(stdout) stderr = response.pop("stderr", None) if stderr: sys.stderr.write(stderr) except (OSError, IPCException) as err: return {"error": str(err)} # TODO: Other errors, e.g. ValueError, UnicodeError return response def get_status(status_file: str) -> tuple[int, str]: """Read status file and check if the process is alive. Return (pid, connection_name) on success. Raise BadStatus if something's wrong. """ data = read_status(status_file) return check_status(data) def check_status(data: dict[str, Any]) -> tuple[int, str]: """Check if the process is alive. Return (pid, connection_name) on success. Raise BadStatus if something's wrong. """ if "pid" not in data: raise BadStatus("Invalid status file (no pid field)") pid = data["pid"] if not isinstance(pid, int): raise BadStatus("pid field is not an int") if not alive(pid): raise BadStatus("Daemon has died") if "connection_name" not in data: raise BadStatus("Invalid status file (no connection_name field)") connection_name = data["connection_name"] if not isinstance(connection_name, str): raise BadStatus("connection_name field is not a string") return pid, connection_name def read_status(status_file: str) -> dict[str, object]: """Read status file. Raise BadStatus if the status file doesn't exist or contains invalid JSON or the JSON is not a dict. """ if not os.path.isfile(status_file): raise BadStatus("No status file found") with open(status_file) as f: try: data = json.load(f) except Exception as e: raise BadStatus("Malformed status file (not JSON)") from e if not isinstance(data, dict): raise BadStatus("Invalid status file (not a dict)") return data def is_running(status_file: str) -> bool: """Check if the server is running cleanly""" try: get_status(status_file) except BadStatus: return False return True # Run main(). def console_entry() -> None: main(sys.argv[1:]) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/dmypy_os.py0000644000175100017510000000220215112307767015466 0ustar00runnerrunnerfrom __future__ import annotations import sys from typing import Any, Callable if sys.platform == "win32": import ctypes import subprocess from ctypes.wintypes import DWORD, HANDLE PROCESS_QUERY_LIMITED_INFORMATION = ctypes.c_ulong(0x1000) kernel32 = ctypes.windll.kernel32 OpenProcess: Callable[[DWORD, int, int], HANDLE] = kernel32.OpenProcess GetExitCodeProcess: Callable[[HANDLE, Any], int] = kernel32.GetExitCodeProcess else: import os import signal def alive(pid: int) -> bool: """Is the process alive?""" if sys.platform == "win32": # why can't anything be easy... status = DWORD() handle = OpenProcess(PROCESS_QUERY_LIMITED_INFORMATION, 0, pid) GetExitCodeProcess(handle, ctypes.byref(status)) return status.value == 259 # STILL_ACTIVE else: try: os.kill(pid, 0) except OSError: return False return True def kill(pid: int) -> None: """Kill the process.""" if sys.platform == "win32": subprocess.check_output(f"taskkill /pid {pid} /f /t") else: os.kill(pid, signal.SIGKILL) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/dmypy_server.py0000644000175100017510000013107115112307767016362 0ustar00runnerrunner"""Server for mypy daemon mode. This implements a daemon process which keeps useful state in memory to enable fine-grained incremental reprocessing of changes. """ from __future__ import annotations import argparse import base64 import io import json import os import pickle import subprocess import sys import time import traceback from collections.abc import Sequence, Set as AbstractSet from contextlib import redirect_stderr, redirect_stdout from typing import Any, Callable, Final from typing_extensions import TypeAlias as _TypeAlias import mypy.build import mypy.errors import mypy.main from mypy.dmypy_util import WriteToConn, receive, send from mypy.find_sources import InvalidSourceList, create_source_list from mypy.fscache import FileSystemCache from mypy.fswatcher import FileData, FileSystemWatcher from mypy.inspections import InspectionEngine from mypy.ipc import IPCServer from mypy.modulefinder import BuildSource, FindModuleCache, SearchPaths, compute_search_paths from mypy.options import Options from mypy.server.update import FineGrainedBuildManager, refresh_suppressed_submodules from mypy.suggestions import SuggestionEngine, SuggestionFailure from mypy.typestate import reset_global_state from mypy.util import FancyFormatter, count_stats from mypy.version import __version__ MEM_PROFILE: Final = False # If True, dump memory profile after initialization if sys.platform == "win32": from subprocess import STARTUPINFO def daemonize( options: Options, status_file: str, timeout: int | None = None, log_file: str | None = None ) -> int: """Create the daemon process via "dmypy daemon" and pass options via command line When creating the daemon grandchild, we create it in a new console, which is started hidden. We cannot use DETACHED_PROCESS since it will cause console windows to pop up when starting. See https://github.com/python/cpython/pull/4150#issuecomment-340215696 for more on why we can't have nice things. It also pickles the options to be unpickled by mypy. """ command = [sys.executable, "-m", "mypy.dmypy", "--status-file", status_file, "daemon"] pickled_options = pickle.dumps(options.snapshot()) command.append(f'--options-data="{base64.b64encode(pickled_options).decode()}"') if timeout: command.append(f"--timeout={timeout}") if log_file: command.append(f"--log-file={log_file}") info = STARTUPINFO() info.dwFlags = 0x1 # STARTF_USESHOWWINDOW aka use wShowWindow's value info.wShowWindow = 0 # SW_HIDE aka make the window invisible try: subprocess.Popen(command, creationflags=0x10, startupinfo=info) # CREATE_NEW_CONSOLE return 0 except subprocess.CalledProcessError as e: return e.returncode else: def _daemonize_cb(func: Callable[[], None], log_file: str | None = None) -> int: """Arrange to call func() in a grandchild of the current process. Return 0 for success, exit status for failure, negative if subprocess killed by signal. """ # See https://stackoverflow.com/questions/473620/how-do-you-create-a-daemon-in-python sys.stdout.flush() sys.stderr.flush() pid = os.fork() if pid: # Parent process: wait for child in case things go bad there. npid, sts = os.waitpid(pid, 0) sig = sts & 0xFF if sig: print("Child killed by signal", sig) return -sig sts = sts >> 8 if sts: print("Child exit status", sts) return sts # Child process: do a bunch of UNIX stuff and then fork a grandchild. try: os.setsid() # Detach controlling terminal os.umask(0o27) devnull = os.open("/dev/null", os.O_RDWR) os.dup2(devnull, 0) os.dup2(devnull, 1) os.dup2(devnull, 2) os.close(devnull) pid = os.fork() if pid: # Child is done, exit to parent. os._exit(0) # Grandchild: run the server. if log_file: sys.stdout = sys.stderr = open(log_file, "a", buffering=1) fd = sys.stdout.fileno() os.dup2(fd, 2) os.dup2(fd, 1) func() finally: # Make sure we never get back into the caller. os._exit(1) def daemonize( options: Options, status_file: str, timeout: int | None = None, log_file: str | None = None ) -> int: """Run the mypy daemon in a grandchild of the current process Return 0 for success, exit status for failure, negative if subprocess killed by signal. """ return _daemonize_cb(Server(options, status_file, timeout).serve, log_file) # Server code. CONNECTION_NAME: Final = "dmypy" def process_start_options(flags: list[str], allow_sources: bool) -> Options: _, options = mypy.main.process_options( ["-i"] + flags, require_targets=False, server_options=True ) if options.report_dirs: print("dmypy: Ignoring report generation settings. Start/restart cannot generate reports.") if options.junit_xml: print( "dmypy: Ignoring report generation settings. " "Start/restart does not support --junit-xml. Pass it to check/recheck instead" ) options.junit_xml = None if not options.incremental: sys.exit("dmypy: start/restart should not disable incremental mode") if options.follow_imports not in ("skip", "error", "normal"): sys.exit("dmypy: follow-imports=silent not supported") return options def ignore_suppressed_imports(module: str) -> bool: """Can we skip looking for newly unsuppressed imports to module?""" # Various submodules of 'encodings' can be suppressed, since it # uses module-level '__getattr__'. Skip them since there are many # of them, and following imports to them is kind of pointless. return module.startswith("encodings.") ModulePathPair: _TypeAlias = tuple[str, str] ModulePathPairs: _TypeAlias = list[ModulePathPair] ChangesAndRemovals: _TypeAlias = tuple[ModulePathPairs, ModulePathPairs] class Server: # NOTE: the instance is constructed in the parent process but # serve() is called in the grandchild (by daemonize()). def __init__(self, options: Options, status_file: str, timeout: int | None = None) -> None: """Initialize the server with the desired mypy flags.""" self.options = options # Snapshot the options info before we muck with it, to detect changes self.options_snapshot = options.snapshot() self.timeout = timeout self.fine_grained_manager: FineGrainedBuildManager | None = None if os.path.isfile(status_file): os.unlink(status_file) self.fscache = FileSystemCache() options.raise_exceptions = True options.incremental = True options.fine_grained_incremental = True options.show_traceback = True if options.use_fine_grained_cache: # Using fine_grained_cache implies generating and caring # about the fine grained cache options.cache_fine_grained = True else: options.cache_dir = os.devnull # Fine-grained incremental doesn't support general partial types # (details in https://github.com/python/mypy/issues/4492) options.local_partial_types = True self.status_file = status_file # Since the object is created in the parent process we can check # the output terminal options here. self.formatter = FancyFormatter(sys.stdout, sys.stderr, options.hide_error_codes) def _response_metadata(self) -> dict[str, str]: py_version = f"{self.options.python_version[0]}_{self.options.python_version[1]}" return {"platform": self.options.platform, "python_version": py_version} def serve(self) -> None: """Serve requests, synchronously (no thread or fork).""" command = None server = IPCServer(CONNECTION_NAME, self.timeout) orig_stdout = sys.stdout orig_stderr = sys.stderr try: with open(self.status_file, "w") as f: json.dump({"pid": os.getpid(), "connection_name": server.connection_name}, f) f.write("\n") # I like my JSON with a trailing newline while True: with server: data = receive(server) sys.stdout = WriteToConn(server, "stdout", sys.stdout.isatty()) sys.stderr = WriteToConn(server, "stderr", sys.stderr.isatty()) resp: dict[str, Any] = {} if "command" not in data: resp = {"error": "No command found in request"} else: command = data["command"] if not isinstance(command, str): resp = {"error": "Command is not a string"} else: command = data.pop("command") try: resp = self.run_command(command, data) except Exception: # If we are crashing, report the crash to the client tb = traceback.format_exception(*sys.exc_info()) resp = {"error": "Daemon crashed!\n" + "".join(tb)} resp.update(self._response_metadata()) resp["final"] = True send(server, resp) raise resp["final"] = True try: resp.update(self._response_metadata()) send(server, resp) except OSError: pass # Maybe the client hung up if command == "stop": reset_global_state() sys.exit(0) finally: # Revert stdout/stderr so we can see any errors. sys.stdout = orig_stdout sys.stderr = orig_stderr # If the final command is something other than a clean # stop, remove the status file. (We can't just # simplify the logic and always remove the file, since # that could cause us to remove a future server's # status file.) if command != "stop": os.unlink(self.status_file) try: server.cleanup() # try to remove the socket dir on Linux except OSError: pass exc_info = sys.exc_info() if exc_info[0] and exc_info[0] is not SystemExit: traceback.print_exception(*exc_info) def run_command(self, command: str, data: dict[str, object]) -> dict[str, object]: """Run a specific command from the registry.""" key = "cmd_" + command method = getattr(self.__class__, key, None) if method is None: return {"error": f"Unrecognized command '{command}'"} else: if command not in {"check", "recheck", "run"}: # Only the above commands use some error formatting. del data["is_tty"] del data["terminal_width"] ret = method(self, **data) assert isinstance(ret, dict) return ret # Command functions (run in the server via RPC). def cmd_status(self, fswatcher_dump_file: str | None = None) -> dict[str, object]: """Return daemon status.""" res: dict[str, object] = {} res.update(get_meminfo()) if fswatcher_dump_file: data = self.fswatcher.dump_file_data() if hasattr(self, "fswatcher") else {} # Using .dumps and then writing was noticeably faster than using dump s = json.dumps(data) with open(fswatcher_dump_file, "w") as f: f.write(s) return res def cmd_stop(self) -> dict[str, object]: """Stop daemon.""" # We need to remove the status file *before* we complete the # RPC. Otherwise a race condition exists where a subsequent # command can see a status file from a dying server and think # it is a live one. os.unlink(self.status_file) return {} def cmd_run( self, version: str, args: Sequence[str], export_types: bool, is_tty: bool, terminal_width: int, ) -> dict[str, object]: """Check a list of files, triggering a restart if needed.""" stderr = io.StringIO() stdout = io.StringIO() try: # Process options can exit on improper arguments, so we need to catch that and # capture stderr so the client can report it with redirect_stderr(stderr): with redirect_stdout(stdout): sources, options = mypy.main.process_options( ["-i"] + list(args), require_targets=True, server_options=True, fscache=self.fscache, program="mypy-daemon", header=argparse.SUPPRESS, ) # Signal that we need to restart if the options have changed if not options.compare_stable(self.options_snapshot): return {"restart": "configuration changed"} if __version__ != version: return {"restart": "mypy version changed"} if self.fine_grained_manager: manager = self.fine_grained_manager.manager start_plugins_snapshot = manager.plugins_snapshot _, current_plugins_snapshot = mypy.build.load_plugins( options, manager.errors, sys.stdout, extra_plugins=() ) if current_plugins_snapshot != start_plugins_snapshot: return {"restart": "plugins changed"} except InvalidSourceList as err: return {"out": "", "err": str(err), "status": 2} except SystemExit as e: return {"out": stdout.getvalue(), "err": stderr.getvalue(), "status": e.code} return self.check(sources, export_types, is_tty, terminal_width) def cmd_check( self, files: Sequence[str], export_types: bool, is_tty: bool, terminal_width: int ) -> dict[str, object]: """Check a list of files.""" try: sources = create_source_list(files, self.options, self.fscache) except InvalidSourceList as err: return {"out": "", "err": str(err), "status": 2} return self.check(sources, export_types, is_tty, terminal_width) def cmd_recheck( self, is_tty: bool, terminal_width: int, export_types: bool, remove: list[str] | None = None, update: list[str] | None = None, ) -> dict[str, object]: """Check the same list of files we checked most recently. If remove/update is given, they modify the previous list; if all are None, stat() is called for each file in the previous list. """ t0 = time.time() if not self.fine_grained_manager: return {"error": "Command 'recheck' is only valid after a 'check' command"} sources = self.previous_sources if remove: removals = set(remove) sources = [s for s in sources if s.path and s.path not in removals] if update: # Sort list of file updates by extension, so *.pyi files are first. update.sort(key=lambda f: os.path.splitext(f)[1], reverse=True) known = {s.path for s in sources if s.path} added = [p for p in update if p not in known] try: added_sources = create_source_list(added, self.options, self.fscache) except InvalidSourceList as err: return {"out": "", "err": str(err), "status": 2} sources = sources + added_sources # Make a copy! t1 = time.time() manager = self.fine_grained_manager.manager manager.log(f"fine-grained increment: cmd_recheck: {t1 - t0:.3f}s") old_export_types = self.options.export_types self.options.export_types = self.options.export_types or export_types if not self.following_imports(): messages = self.fine_grained_increment( sources, remove, update, explicit_export_types=export_types ) else: assert remove is None and update is None messages = self.fine_grained_increment_follow_imports( sources, explicit_export_types=export_types ) res = self.increment_output(messages, sources, is_tty, terminal_width) self.flush_caches() self.update_stats(res) self.options.export_types = old_export_types return res def check( self, sources: list[BuildSource], export_types: bool, is_tty: bool, terminal_width: int ) -> dict[str, Any]: """Check using fine-grained incremental mode. If is_tty is True format the output nicely with colors and summary line (unless disabled in self.options). Also pass the terminal_width to formatter. """ old_export_types = self.options.export_types self.options.export_types = self.options.export_types or export_types if not self.fine_grained_manager: res = self.initialize_fine_grained(sources, is_tty, terminal_width) else: if not self.following_imports(): messages = self.fine_grained_increment(sources, explicit_export_types=export_types) else: messages = self.fine_grained_increment_follow_imports( sources, explicit_export_types=export_types ) res = self.increment_output(messages, sources, is_tty, terminal_width) self.flush_caches() self.update_stats(res) self.options.export_types = old_export_types return res def flush_caches(self) -> None: self.fscache.flush() if self.fine_grained_manager: self.fine_grained_manager.flush_cache() def update_stats(self, res: dict[str, Any]) -> None: if self.fine_grained_manager: manager = self.fine_grained_manager.manager manager.dump_stats() res["stats"] = manager.stats manager.stats = {} def following_imports(self) -> bool: """Are we following imports?""" # TODO: What about silent? return self.options.follow_imports == "normal" def initialize_fine_grained( self, sources: list[BuildSource], is_tty: bool, terminal_width: int ) -> dict[str, Any]: self.fswatcher = FileSystemWatcher(self.fscache) t0 = time.time() self.update_sources(sources) t1 = time.time() try: result = mypy.build.build(sources=sources, options=self.options, fscache=self.fscache) except mypy.errors.CompileError as e: output = "".join(s + "\n" for s in e.messages) if e.use_stdout: out, err = output, "" else: out, err = "", output return {"out": out, "err": err, "status": 2} messages = result.errors self.fine_grained_manager = FineGrainedBuildManager(result) original_sources_len = len(sources) if self.following_imports(): sources = find_all_sources_in_build(self.fine_grained_manager.graph, sources) self.update_sources(sources) self.previous_sources = sources # If we are using the fine-grained cache, build hasn't actually done # the typechecking on the updated files yet. # Run a fine-grained update starting from the cached data if result.used_cache: t2 = time.time() # Pull times and hashes out of the saved_cache and stick them into # the fswatcher, so we pick up the changes. for state in self.fine_grained_manager.graph.values(): meta = state.meta if meta is None: continue assert state.path is not None self.fswatcher.set_file_data( state.path, FileData(st_mtime=float(meta.mtime), st_size=meta.size, hash=meta.hash), ) changed, removed = self.find_changed(sources) changed += self.find_added_suppressed( self.fine_grained_manager.graph, set(), self.fine_grained_manager.manager.search_paths, ) # Find anything that has had its dependency list change for state in self.fine_grained_manager.graph.values(): if not state.is_fresh(): assert state.path is not None changed.append((state.id, state.path)) t3 = time.time() # Run an update messages = self.fine_grained_manager.update(changed, removed) if self.following_imports(): # We need to do another update to any new files found by following imports. messages = self.fine_grained_increment_follow_imports(sources) t4 = time.time() self.fine_grained_manager.manager.add_stats( update_sources_time=t1 - t0, build_time=t2 - t1, find_changes_time=t3 - t2, fg_update_time=t4 - t3, files_changed=len(removed) + len(changed), ) else: # Stores the initial state of sources as a side effect. self.fswatcher.find_changed() if MEM_PROFILE: from mypy.memprofile import print_memory_profile print_memory_profile(run_gc=False) __, n_notes, __ = count_stats(messages) status = 1 if messages and n_notes < len(messages) else 0 # We use explicit sources length to match the logic in non-incremental mode. messages = self.pretty_messages(messages, original_sources_len, is_tty, terminal_width) return {"out": "".join(s + "\n" for s in messages), "err": "", "status": status} def fine_grained_increment( self, sources: list[BuildSource], remove: list[str] | None = None, update: list[str] | None = None, explicit_export_types: bool = False, ) -> list[str]: """Perform a fine-grained type checking increment. If remove and update are None, determine changed paths by using fswatcher. Otherwise, assume that only these files have changes. Args: sources: sources passed on the command line remove: paths of files that have been removed update: paths of files that have been changed or created explicit_export_types: --export-type was passed in a check command (as opposite to being set in dmypy start) """ assert self.fine_grained_manager is not None manager = self.fine_grained_manager.manager t0 = time.time() if remove is None and update is None: # Use the fswatcher to determine which files were changed # (updated or added) or removed. self.update_sources(sources) changed, removed = self.find_changed(sources) else: # Use the remove/update lists to update fswatcher. # This avoids calling stat() for unchanged files. changed, removed = self.update_changed(sources, remove or [], update or []) if explicit_export_types: # If --export-types is given, we need to force full re-checking of all # explicitly passed files, since we need to visit each expression. add_all_sources_to_changed(sources, changed) changed += self.find_added_suppressed( self.fine_grained_manager.graph, set(), manager.search_paths ) manager.search_paths = compute_search_paths(sources, manager.options, manager.data_dir) t1 = time.time() manager.log(f"fine-grained increment: find_changed: {t1 - t0:.3f}s") messages = self.fine_grained_manager.update(changed, removed) t2 = time.time() manager.log(f"fine-grained increment: update: {t2 - t1:.3f}s") manager.add_stats( find_changes_time=t1 - t0, fg_update_time=t2 - t1, files_changed=len(removed) + len(changed), ) self.previous_sources = sources return messages def fine_grained_increment_follow_imports( self, sources: list[BuildSource], explicit_export_types: bool = False ) -> list[str]: """Like fine_grained_increment, but follow imports.""" t0 = time.time() # TODO: Support file events assert self.fine_grained_manager is not None fine_grained_manager = self.fine_grained_manager graph = fine_grained_manager.graph manager = fine_grained_manager.manager orig_modules = list(graph.keys()) self.update_sources(sources) changed_paths = self.fswatcher.find_changed() manager.search_paths = compute_search_paths(sources, manager.options, manager.data_dir) t1 = time.time() manager.log(f"fine-grained increment: find_changed: {t1 - t0:.3f}s") # Track all modules encountered so far. New entries for all dependencies # are added below by other module finding methods below. All dependencies # in graph but not in `seen` are considered deleted at the end of this method. seen = {source.module for source in sources} # Find changed modules reachable from roots (or in roots) already in graph. changed, new_files = self.find_reachable_changed_modules( sources, graph, seen, changed_paths ) # Same as in fine_grained_increment(). self.add_explicitly_new(sources, changed) if explicit_export_types: # Same as in fine_grained_increment(). add_all_sources_to_changed(sources, changed) sources.extend(new_files) # Process changes directly reachable from roots. messages = fine_grained_manager.update(changed, [], followed=True) # Follow deps from changed modules (still within graph). worklist = changed.copy() while worklist: module = worklist.pop() if module[0] not in graph: continue sources2 = self.direct_imports(module, graph) # Filter anything already seen before. This prevents # infinite looping if there are any self edges. (Self # edges are maybe a bug, but...) sources2 = [source for source in sources2 if source.module not in seen] changed, new_files = self.find_reachable_changed_modules( sources2, graph, seen, changed_paths ) self.update_sources(new_files) messages = fine_grained_manager.update(changed, [], followed=True) worklist.extend(changed) t2 = time.time() def refresh_file(module: str, path: str) -> list[str]: return fine_grained_manager.update([(module, path)], [], followed=True) for module_id, state in list(graph.items()): new_messages = refresh_suppressed_submodules( module_id, state.path, fine_grained_manager.deps, graph, self.fscache, refresh_file ) if new_messages is not None: messages = new_messages t3 = time.time() # There may be new files that became available, currently treated as # suppressed imports. Process them. while True: new_unsuppressed = self.find_added_suppressed(graph, seen, manager.search_paths) if not new_unsuppressed: break new_files = [BuildSource(mod[1], mod[0], followed=True) for mod in new_unsuppressed] sources.extend(new_files) self.update_sources(new_files) messages = fine_grained_manager.update(new_unsuppressed, [], followed=True) for module_id, path in new_unsuppressed: new_messages = refresh_suppressed_submodules( module_id, path, fine_grained_manager.deps, graph, self.fscache, refresh_file ) if new_messages is not None: messages = new_messages t4 = time.time() # Find all original modules in graph that were not reached -- they are deleted. to_delete = [] for module_id in orig_modules: if module_id not in graph: continue if module_id not in seen: module_path = graph[module_id].path assert module_path is not None to_delete.append((module_id, module_path)) if to_delete: messages = fine_grained_manager.update([], to_delete) fix_module_deps(graph) self.previous_sources = find_all_sources_in_build(graph) self.update_sources(self.previous_sources) # Store current file state as side effect self.fswatcher.find_changed() t5 = time.time() manager.log(f"fine-grained increment: update: {t5 - t1:.3f}s") manager.add_stats( find_changes_time=t1 - t0, fg_update_time=t2 - t1, refresh_suppressed_time=t3 - t2, find_added_suppressed_time=t4 - t3, cleanup_time=t5 - t4, ) return messages def find_reachable_changed_modules( self, roots: list[BuildSource], graph: mypy.build.Graph, seen: set[str], changed_paths: AbstractSet[str], ) -> tuple[list[tuple[str, str]], list[BuildSource]]: """Follow imports within graph from given sources until hitting changed modules. If we find a changed module, we can't continue following imports as the imports may have changed. Args: roots: modules where to start search from graph: module graph to use for the search seen: modules we've seen before that won't be visited (mutated here!!). Needed to accumulate all modules encountered during update and remove everything that no longer exists. changed_paths: which paths have changed (stop search here and return any found) Return (encountered reachable changed modules, unchanged files not in sources_set traversed). """ changed = [] new_files = [] worklist = roots.copy() seen.update(source.module for source in worklist) while worklist: nxt = worklist.pop() if nxt.module not in seen: seen.add(nxt.module) new_files.append(nxt) if nxt.path in changed_paths: assert nxt.path is not None # TODO changed.append((nxt.module, nxt.path)) elif nxt.module in graph: state = graph[nxt.module] ancestors = state.ancestors or [] for dep in state.dependencies + ancestors: if dep not in seen: seen.add(dep) worklist.append(BuildSource(graph[dep].path, graph[dep].id, followed=True)) return changed, new_files def direct_imports( self, module: tuple[str, str], graph: mypy.build.Graph ) -> list[BuildSource]: """Return the direct imports of module not included in seen.""" state = graph[module[0]] return [BuildSource(graph[dep].path, dep, followed=True) for dep in state.dependencies] def find_added_suppressed( self, graph: mypy.build.Graph, seen: set[str], search_paths: SearchPaths ) -> list[tuple[str, str]]: """Find suppressed modules that have been added (and not included in seen). Args: seen: reachable modules we've seen before (mutated here!!). Needed to accumulate all modules encountered during update and remove everything that no longer exists. Return suppressed, added modules. """ all_suppressed = set() for state in graph.values(): all_suppressed |= state.suppressed_set # Filter out things that shouldn't actually be considered suppressed. # # TODO: Figure out why these are treated as suppressed all_suppressed = { module for module in all_suppressed if module not in graph and not ignore_suppressed_imports(module) } # Optimization: skip top-level packages that are obviously not # there, to avoid calling the relatively slow find_module() # below too many times. packages = {module.split(".", 1)[0] for module in all_suppressed} packages = filter_out_missing_top_level_packages(packages, search_paths, self.fscache) # TODO: Namespace packages finder = FindModuleCache(search_paths, self.fscache, self.options) found = [] for module in all_suppressed: top_level_pkg = module.split(".", 1)[0] if top_level_pkg not in packages: # Fast path: non-existent top-level package continue result = finder.find_module(module, fast_path=True) if isinstance(result, str) and module not in seen: # When not following imports, we only follow imports to .pyi files. if not self.following_imports() and not result.endswith(".pyi"): continue found.append((module, result)) seen.add(module) return found def increment_output( self, messages: list[str], sources: list[BuildSource], is_tty: bool, terminal_width: int ) -> dict[str, Any]: status = 1 if messages else 0 messages = self.pretty_messages(messages, len(sources), is_tty, terminal_width) return {"out": "".join(s + "\n" for s in messages), "err": "", "status": status} def pretty_messages( self, messages: list[str], n_sources: int, is_tty: bool = False, terminal_width: int | None = None, ) -> list[str]: use_color = self.options.color_output and is_tty fit_width = self.options.pretty and is_tty if fit_width: messages = self.formatter.fit_in_terminal( messages, fixed_terminal_width=terminal_width ) if self.options.error_summary: summary: str | None = None n_errors, n_notes, n_files = count_stats(messages) if n_errors: summary = self.formatter.format_error( n_errors, n_files, n_sources, use_color=use_color ) elif not messages or n_notes == len(messages): summary = self.formatter.format_success(n_sources, use_color) if summary: # Create new list to avoid appending multiple summaries on successive runs. messages = messages + [summary] if use_color: messages = [self.formatter.colorize(m) for m in messages] return messages def update_sources(self, sources: list[BuildSource]) -> None: paths = [source.path for source in sources if source.path is not None] if self.following_imports(): # Filter out directories (used for namespace packages). paths = [path for path in paths if self.fscache.isfile(path)] self.fswatcher.add_watched_paths(paths) def update_changed( self, sources: list[BuildSource], remove: list[str], update: list[str] ) -> ChangesAndRemovals: changed_paths = self.fswatcher.update_changed(remove, update) return self._find_changed(sources, changed_paths) def find_changed(self, sources: list[BuildSource]) -> ChangesAndRemovals: changed_paths = self.fswatcher.find_changed() return self._find_changed(sources, changed_paths) def _find_changed( self, sources: list[BuildSource], changed_paths: AbstractSet[str] ) -> ChangesAndRemovals: # Find anything that has been added or modified changed = [ (source.module, source.path) for source in sources if source.path and source.path in changed_paths ] # Now find anything that has been removed from the build modules = {source.module for source in sources} omitted = [source for source in self.previous_sources if source.module not in modules] removed = [] for source in omitted: path = source.path assert path removed.append((source.module, path)) self.add_explicitly_new(sources, changed) # Find anything that has had its module path change because of added or removed __init__s last = {s.path: s.module for s in self.previous_sources} for s in sources: assert s.path if s.path in last and last[s.path] != s.module: # Mark it as removed from its old name and changed at its new name removed.append((last[s.path], s.path)) changed.append((s.module, s.path)) return changed, removed def add_explicitly_new( self, sources: list[BuildSource], changed: list[tuple[str, str]] ) -> None: # Always add modules that were (re-)added, since they may be detected as not changed by # fswatcher (if they were actually not changed), but they may still need to be checked # in case they had errors before they were deleted from sources on previous runs. previous_modules = {source.module for source in self.previous_sources} changed_set = set(changed) changed.extend( [ (source.module, source.path) for source in sources if source.path and source.module not in previous_modules and (source.module, source.path) not in changed_set ] ) def cmd_inspect( self, show: str, location: str, verbosity: int = 0, limit: int = 0, include_span: bool = False, include_kind: bool = False, include_object_attrs: bool = False, union_attrs: bool = False, force_reload: bool = False, ) -> dict[str, object]: """Locate and inspect expression(s).""" if not self.fine_grained_manager: return { "error": 'Command "inspect" is only valid after a "check" command' " (that produces no parse errors)" } engine = InspectionEngine( self.fine_grained_manager, verbosity=verbosity, limit=limit, include_span=include_span, include_kind=include_kind, include_object_attrs=include_object_attrs, union_attrs=union_attrs, force_reload=force_reload, ) old_inspections = self.options.inspections self.options.inspections = True try: if show == "type": result = engine.get_type(location) elif show == "attrs": result = engine.get_attrs(location) elif show == "definition": result = engine.get_definition(location) else: assert False, "Unknown inspection kind" finally: self.options.inspections = old_inspections if "out" in result: assert isinstance(result["out"], str) result["out"] += "\n" return result def cmd_suggest(self, function: str, callsites: bool, **kwargs: Any) -> dict[str, object]: """Suggest a signature for a function.""" if not self.fine_grained_manager: return { "error": "Command 'suggest' is only valid after a 'check' command" " (that produces no parse errors)" } engine = SuggestionEngine(self.fine_grained_manager, **kwargs) try: if callsites: out = engine.suggest_callsites(function) else: out = engine.suggest(function) except SuggestionFailure as err: return {"error": str(err)} else: if not out: out = "No suggestions\n" elif not out.endswith("\n"): out += "\n" return {"out": out, "err": "", "status": 0} finally: self.flush_caches() def cmd_hang(self) -> dict[str, object]: """Hang for 100 seconds, as a debug hack.""" time.sleep(100) return {} # Misc utilities. MiB: Final = 2**20 def get_meminfo() -> dict[str, Any]: res: dict[str, Any] = {} try: import psutil except ImportError: res["memory_psutil_missing"] = ( "psutil not found, run pip install mypy[dmypy] " "to install the needed components for dmypy" ) else: process = psutil.Process() meminfo = process.memory_info() res["memory_rss_mib"] = meminfo.rss / MiB res["memory_vms_mib"] = meminfo.vms / MiB if sys.platform == "win32": res["memory_maxrss_mib"] = meminfo.peak_wset / MiB else: # See https://stackoverflow.com/questions/938733/total-memory-used-by-python-process import resource # Since it doesn't exist on Windows. rusage = resource.getrusage(resource.RUSAGE_SELF) if sys.platform == "darwin": factor = 1 else: factor = 1024 # Linux res["memory_maxrss_mib"] = rusage.ru_maxrss * factor / MiB return res def find_all_sources_in_build( graph: mypy.build.Graph, extra: Sequence[BuildSource] = () ) -> list[BuildSource]: result = list(extra) seen = {source.module for source in result} for module, state in graph.items(): if module not in seen: result.append(BuildSource(state.path, module)) return result def add_all_sources_to_changed(sources: list[BuildSource], changed: list[tuple[str, str]]) -> None: """Add all (explicit) sources to the list changed files in place. Use this when re-processing of unchanged files is needed (e.g. for the purpose of exporting types for inspections). """ changed_set = set(changed) changed.extend( [ (bs.module, bs.path) for bs in sources if bs.path and (bs.module, bs.path) not in changed_set ] ) def fix_module_deps(graph: mypy.build.Graph) -> None: """After an incremental update, update module dependencies to reflect the new state. This can make some suppressed dependencies non-suppressed, and vice versa (if modules have been added to or removed from the build). """ for state in graph.values(): new_suppressed = [] new_dependencies = [] for dep in state.dependencies + state.suppressed: if dep in graph: new_dependencies.append(dep) else: new_suppressed.append(dep) state.dependencies = new_dependencies state.dependencies_set = set(new_dependencies) state.suppressed = new_suppressed state.suppressed_set = set(new_suppressed) def filter_out_missing_top_level_packages( packages: set[str], search_paths: SearchPaths, fscache: FileSystemCache ) -> set[str]: """Quickly filter out obviously missing top-level packages. Return packages with entries that can't be found removed. This is approximate: some packages that aren't actually valid may be included. However, all potentially valid packages must be returned. """ # Start with a empty set and add all potential top-level packages. found = set() paths = ( search_paths.python_path + search_paths.mypy_path + search_paths.package_path + search_paths.typeshed_path ) for p in paths: try: entries = fscache.listdir(p) except Exception: entries = [] for entry in entries: # The code is hand-optimized for mypyc since this may be somewhat # performance-critical. if entry.endswith(".py"): entry = entry[:-3] elif entry.endswith(".pyi"): entry = entry[:-4] elif entry.endswith("-stubs"): # Possible PEP 561 stub package entry = entry[:-6] if entry in packages: found.add(entry) return found ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/dmypy_util.py0000644000175100017510000000567615112307767016044 0ustar00runnerrunner"""Shared code between dmypy.py and dmypy_server.py. This should be pretty lightweight and not depend on other mypy code (other than ipc). """ from __future__ import annotations import io import json from collections.abc import Iterable, Iterator from types import TracebackType from typing import Any, Final, TextIO from mypy.ipc import IPCBase DEFAULT_STATUS_FILE: Final = ".dmypy.json" def receive(connection: IPCBase) -> Any: """Receive single JSON data frame from a connection. Raise OSError if the data received is not valid JSON or if it is not a dict. """ bdata = connection.read() if not bdata: raise OSError("No data received") try: data = json.loads(bdata) except Exception as e: raise OSError("Data received is not valid JSON") from e if not isinstance(data, dict): raise OSError(f"Data received is not a dict ({type(data)})") return data def send(connection: IPCBase, data: Any) -> None: """Send data to a connection encoded and framed. The data must be JSON-serializable. We assume that a single send call is a single frame to be sent on the connect. """ connection.write(json.dumps(data)) class WriteToConn(TextIO): """Helper class to write to a connection instead of standard output.""" def __init__(self, server: IPCBase, output_key: str, isatty: bool) -> None: self.server = server self.output_key = output_key self._isatty = isatty def __enter__(self) -> TextIO: return self def __exit__( self, t: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None, ) -> None: pass def __iter__(self) -> Iterator[str]: raise io.UnsupportedOperation def __next__(self) -> str: raise io.UnsupportedOperation def close(self) -> None: pass def fileno(self) -> int: raise OSError def flush(self) -> None: pass def isatty(self) -> bool: return self._isatty def read(self, n: int = 0) -> str: raise io.UnsupportedOperation def readable(self) -> bool: return False def readline(self, limit: int = 0) -> str: raise io.UnsupportedOperation def readlines(self, hint: int = 0) -> list[str]: raise io.UnsupportedOperation def seek(self, offset: int, whence: int = 0) -> int: raise io.UnsupportedOperation def seekable(self) -> bool: return False def tell(self) -> int: raise io.UnsupportedOperation def truncate(self, size: int | None = 0) -> int: raise io.UnsupportedOperation def write(self, output: str) -> int: resp: dict[str, Any] = {self.output_key: output} send(self.server, resp) return len(output) def writable(self) -> bool: return True def writelines(self, lines: Iterable[str]) -> None: for s in lines: self.write(s) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/erasetype.py0000644000175100017510000002502015112307767015627 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Container from typing import Callable, cast from mypy.nodes import ARG_STAR, ARG_STAR2 from mypy.types import ( AnyType, CallableType, DeletedType, ErasedType, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeTranslator, TypeType, TypeVarId, TypeVarTupleType, TypeVarType, TypeVisitor, UnboundType, UninhabitedType, UnionType, UnpackType, get_proper_type, get_proper_types, ) from mypy.typevartuples import erased_vars def erase_type(typ: Type) -> ProperType: """Erase any type variables from a type. Also replace tuple types with the corresponding concrete types. Examples: A -> A B[X] -> B[Any] Tuple[A, B] -> tuple Callable[[A1, A2, ...], R] -> Callable[..., Any] Type[X] -> Type[Any] """ typ = get_proper_type(typ) return typ.accept(EraseTypeVisitor()) class EraseTypeVisitor(TypeVisitor[ProperType]): def visit_unbound_type(self, t: UnboundType) -> ProperType: # TODO: replace with an assert after UnboundType can't leak from semantic analysis. return AnyType(TypeOfAny.from_error) def visit_any(self, t: AnyType) -> ProperType: return t def visit_none_type(self, t: NoneType) -> ProperType: return t def visit_uninhabited_type(self, t: UninhabitedType) -> ProperType: return t def visit_erased_type(self, t: ErasedType) -> ProperType: return t def visit_partial_type(self, t: PartialType) -> ProperType: # Should not get here. raise RuntimeError("Cannot erase partial types") def visit_deleted_type(self, t: DeletedType) -> ProperType: return t def visit_instance(self, t: Instance) -> ProperType: args = erased_vars(t.type.defn.type_vars, TypeOfAny.special_form) return Instance(t.type, args, t.line) def visit_type_var(self, t: TypeVarType) -> ProperType: return AnyType(TypeOfAny.special_form) def visit_param_spec(self, t: ParamSpecType) -> ProperType: return AnyType(TypeOfAny.special_form) def visit_parameters(self, t: Parameters) -> ProperType: raise RuntimeError("Parameters should have been bound to a class") def visit_type_var_tuple(self, t: TypeVarTupleType) -> ProperType: # Likely, we can never get here because of aggressive erasure of types that # can contain this, but better still return a valid replacement. return t.tuple_fallback.copy_modified(args=[AnyType(TypeOfAny.special_form)]) def visit_unpack_type(self, t: UnpackType) -> ProperType: return AnyType(TypeOfAny.special_form) def visit_callable_type(self, t: CallableType) -> ProperType: # We must preserve the fallback type for overload resolution to work. any_type = AnyType(TypeOfAny.special_form) return CallableType( arg_types=[any_type, any_type], arg_kinds=[ARG_STAR, ARG_STAR2], arg_names=[None, None], ret_type=any_type, fallback=t.fallback, is_ellipsis_args=True, implicit=True, ) def visit_overloaded(self, t: Overloaded) -> ProperType: return t.fallback.accept(self) def visit_tuple_type(self, t: TupleType) -> ProperType: return t.partial_fallback.accept(self) def visit_typeddict_type(self, t: TypedDictType) -> ProperType: return t.fallback.accept(self) def visit_literal_type(self, t: LiteralType) -> ProperType: # The fallback for literal types should always be either # something like int or str, or an enum class -- types that # don't contain any TypeVars. So there's no need to visit it. return t def visit_union_type(self, t: UnionType) -> ProperType: erased_items = [erase_type(item) for item in t.items] from mypy.typeops import make_simplified_union return make_simplified_union(erased_items) def visit_type_type(self, t: TypeType) -> ProperType: return TypeType.make_normalized( t.item.accept(self), line=t.line, is_type_form=t.is_type_form ) def visit_type_alias_type(self, t: TypeAliasType) -> ProperType: raise RuntimeError("Type aliases should be expanded before accepting this visitor") def erase_typevars(t: Type, ids_to_erase: Container[TypeVarId] | None = None) -> Type: """Replace all type variables in a type with any, or just the ones in the provided collection. """ if ids_to_erase is None: return t.accept(TypeVarEraser(None, AnyType(TypeOfAny.special_form))) def erase_id(id: TypeVarId) -> bool: return id in ids_to_erase return t.accept(TypeVarEraser(erase_id, AnyType(TypeOfAny.special_form))) def erase_meta_id(id: TypeVarId) -> bool: return id.is_meta_var() def replace_meta_vars(t: Type, target_type: Type) -> Type: """Replace unification variables in a type with the target type.""" return t.accept(TypeVarEraser(erase_meta_id, target_type)) class TypeVarEraser(TypeTranslator): """Implementation of type erasure""" def __init__(self, erase_id: Callable[[TypeVarId], bool] | None, replacement: Type) -> None: super().__init__() self.erase_id = erase_id self.replacement = replacement def visit_type_var(self, t: TypeVarType) -> Type: if self.erase_id is None or self.erase_id(t.id): return self.replacement return t # TODO: below two methods duplicate some logic with expand_type(). # In fact, we may want to refactor this whole visitor to use expand_type(). def visit_instance(self, t: Instance) -> Type: result = super().visit_instance(t) assert isinstance(result, ProperType) and isinstance(result, Instance) if t.type.fullname == "builtins.tuple": # Normalize Tuple[*Tuple[X, ...], ...] -> Tuple[X, ...] arg = result.args[0] if isinstance(arg, UnpackType): unpacked = get_proper_type(arg.type) if isinstance(unpacked, Instance): assert unpacked.type.fullname == "builtins.tuple" return unpacked return result def visit_tuple_type(self, t: TupleType) -> Type: result = super().visit_tuple_type(t) assert isinstance(result, ProperType) and isinstance(result, TupleType) if len(result.items) == 1: # Normalize Tuple[*Tuple[X, ...]] -> Tuple[X, ...] item = result.items[0] if isinstance(item, UnpackType): unpacked = get_proper_type(item.type) if isinstance(unpacked, Instance): assert unpacked.type.fullname == "builtins.tuple" if result.partial_fallback.type.fullname != "builtins.tuple": # If it is a subtype (like named tuple) we need to preserve it, # this essentially mimics the logic in tuple_fallback(). return result.partial_fallback.accept(self) return unpacked return result def visit_callable_type(self, t: CallableType) -> Type: result = super().visit_callable_type(t) assert isinstance(result, ProperType) and isinstance(result, CallableType) # Usually this is done in semanal_typeargs.py, but erasure can create # a non-normal callable from normal one. result.normalize_trivial_unpack() return result def visit_type_var_tuple(self, t: TypeVarTupleType) -> Type: if self.erase_id is None or self.erase_id(t.id): return t.tuple_fallback.copy_modified(args=[self.replacement]) return t def visit_param_spec(self, t: ParamSpecType) -> Type: # TODO: we should probably preserve prefix here. if self.erase_id is None or self.erase_id(t.id): return self.replacement return t def visit_type_alias_type(self, t: TypeAliasType) -> Type: # Type alias target can't contain bound type variables (not bound by the type # alias itself), so it is safe to just erase the arguments. return t.copy_modified(args=[a.accept(self) for a in t.args]) def remove_instance_last_known_values(t: Type) -> Type: return t.accept(LastKnownValueEraser()) class LastKnownValueEraser(TypeTranslator): """Removes the Literal[...] type that may be associated with any Instance types.""" def visit_instance(self, t: Instance) -> Type: if not t.last_known_value and not t.args: return t return t.copy_modified(args=[a.accept(self) for a in t.args], last_known_value=None) def visit_type_alias_type(self, t: TypeAliasType) -> Type: # Type aliases can't contain literal values, because they are # always constructed as explicit types. return t def visit_union_type(self, t: UnionType) -> Type: new = cast(UnionType, super().visit_union_type(t)) # Erasure can result in many duplicate items; merge them. # Call make_simplified_union only on lists of instance types # that all have the same fullname, to avoid simplifying too # much. instances = [item for item in new.items if isinstance(get_proper_type(item), Instance)] # Avoid merge in simple cases such as optional types. if len(instances) > 1: instances_by_name: dict[str, list[Instance]] = {} p_new_items = get_proper_types(new.items) for p_item in p_new_items: if isinstance(p_item, Instance) and not p_item.args: instances_by_name.setdefault(p_item.type.fullname, []).append(p_item) merged: list[Type] = [] for item in new.items: orig_item = item item = get_proper_type(item) if isinstance(item, Instance) and not item.args: types = instances_by_name.get(item.type.fullname) if types is not None: if len(types) == 1: merged.append(item) else: from mypy.typeops import make_simplified_union merged.append(make_simplified_union(types)) del instances_by_name[item.type.fullname] else: merged.append(orig_item) return UnionType.make_union(merged) return new ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/error_formatter.py0000644000175100017510000000213315112307767017042 0ustar00runnerrunner"""Defines the different custom formats in which mypy can output.""" import json from abc import ABC, abstractmethod from typing import TYPE_CHECKING if TYPE_CHECKING: from mypy.errors import MypyError class ErrorFormatter(ABC): """Base class to define how errors are formatted before being printed.""" @abstractmethod def report_error(self, error: "MypyError") -> str: raise NotImplementedError class JSONFormatter(ErrorFormatter): """Formatter for basic JSON output format.""" def report_error(self, error: "MypyError") -> str: """Prints out the errors as simple, static JSON lines.""" return json.dumps( { "file": error.file_path, "line": error.line, "column": error.column, "message": error.message, "hint": None if len(error.hints) == 0 else "\n".join(error.hints), "code": None if error.errorcode is None else error.errorcode.code, "severity": error.severity, } ) OUTPUT_CHOICES = {"json": JSONFormatter()} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/errorcodes.py0000644000175100017510000002715415112307767016007 0ustar00runnerrunner"""Classification of possible errors mypy can detect. These can be used for filtering specific errors. """ from __future__ import annotations from collections import defaultdict from typing import Final from mypy_extensions import mypyc_attr error_codes: dict[str, ErrorCode] = {} sub_code_map: dict[str, set[str]] = defaultdict(set) @mypyc_attr(allow_interpreted_subclasses=True) class ErrorCode: def __init__( self, code: str, description: str, category: str, default_enabled: bool = True, sub_code_of: ErrorCode | None = None, ) -> None: self.code = code self.description = description self.category = category self.default_enabled = default_enabled self.sub_code_of = sub_code_of if sub_code_of is not None: assert sub_code_of.sub_code_of is None, "Nested subcategories are not supported" sub_code_map[sub_code_of.code].add(code) error_codes[code] = self def __str__(self) -> str: return f"" def __repr__(self) -> str: """This doesn't fulfill the goals of repr but it's better than the default view.""" return f"" def __eq__(self, other: object) -> bool: if not isinstance(other, ErrorCode): return False return self.code == other.code def __hash__(self) -> int: return hash((self.code,)) ATTR_DEFINED: Final = ErrorCode("attr-defined", "Check that attribute exists", "General") NAME_DEFINED: Final = ErrorCode("name-defined", "Check that name is defined", "General") CALL_ARG: Final = ErrorCode( "call-arg", "Check number, names and kinds of arguments in calls", "General" ) ARG_TYPE: Final = ErrorCode("arg-type", "Check argument types in calls", "General") CALL_OVERLOAD: Final = ErrorCode( "call-overload", "Check that an overload variant matches arguments", "General" ) VALID_TYPE: Final = ErrorCode("valid-type", "Check that type (annotation) is valid", "General") VAR_ANNOTATED: Final = ErrorCode( "var-annotated", "Require variable annotation if type can't be inferred", "General" ) OVERRIDE: Final = ErrorCode( "override", "Check that method override is compatible with base class", "General" ) RETURN: Final = ErrorCode("return", "Check that function always returns a value", "General") RETURN_VALUE: Final = ErrorCode( "return-value", "Check that return value is compatible with signature", "General" ) ASSIGNMENT: Final = ErrorCode( "assignment", "Check that assigned value is compatible with target", "General" ) METHOD_ASSIGN: Final = ErrorCode( "method-assign", "Check that assignment target is not a method", "General", sub_code_of=ASSIGNMENT, ) TYPE_ARG: Final = ErrorCode("type-arg", "Check that generic type arguments are present", "General") TYPE_VAR: Final = ErrorCode("type-var", "Check that type variable values are valid", "General") UNION_ATTR: Final = ErrorCode( "union-attr", "Check that attribute exists in each item of a union", "General" ) INDEX: Final = ErrorCode("index", "Check indexing operations", "General") OPERATOR: Final = ErrorCode("operator", "Check that operator is valid for operands", "General") LIST_ITEM: Final = ErrorCode( "list-item", "Check list items in a list expression [item, ...]", "General" ) DICT_ITEM: Final = ErrorCode( "dict-item", "Check dict items in a dict expression {key: value, ...}", "General" ) TYPEDDICT_ITEM: Final = ErrorCode( "typeddict-item", "Check items when constructing TypedDict", "General" ) TYPEDDICT_UNKNOWN_KEY: Final = ErrorCode( "typeddict-unknown-key", "Check unknown keys when constructing TypedDict", "General", sub_code_of=TYPEDDICT_ITEM, ) HAS_TYPE: Final = ErrorCode( "has-type", "Check that type of reference can be determined", "General" ) IMPORT: Final = ErrorCode( "import", "Require that imported module can be found or has stubs", "General" ) IMPORT_NOT_FOUND: Final = ErrorCode( "import-not-found", "Require that imported module can be found", "General", sub_code_of=IMPORT ) IMPORT_UNTYPED: Final = ErrorCode( "import-untyped", "Require that imported module has stubs", "General", sub_code_of=IMPORT ) NO_REDEF: Final = ErrorCode("no-redef", "Check that each name is defined once", "General") FUNC_RETURNS_VALUE: Final = ErrorCode( "func-returns-value", "Check that called function returns a value in value context", "General" ) ABSTRACT: Final = ErrorCode( "abstract", "Prevent instantiation of classes with abstract attributes", "General" ) TYPE_ABSTRACT: Final = ErrorCode( "type-abstract", "Require only concrete classes where Type[...] is expected", "General" ) VALID_NEWTYPE: Final = ErrorCode( "valid-newtype", "Check that argument 2 to NewType is valid", "General" ) STRING_FORMATTING: Final = ErrorCode( "str-format", "Check that string formatting/interpolation is type-safe", "General" ) STR_BYTES_PY3: Final = ErrorCode( "str-bytes-safe", "Warn about implicit coercions related to bytes and string types", "General" ) EXIT_RETURN: Final = ErrorCode( "exit-return", "Warn about too general return type for '__exit__'", "General" ) LITERAL_REQ: Final = ErrorCode("literal-required", "Check that value is a literal", "General") UNUSED_COROUTINE: Final = ErrorCode( "unused-coroutine", "Ensure that all coroutines are used", "General" ) EMPTY_BODY: Final = ErrorCode( "empty-body", "A dedicated error code to opt out return errors for empty/trivial bodies", "General", ) SAFE_SUPER: Final = ErrorCode( "safe-super", "Warn about calls to abstract methods with empty/trivial bodies", "General" ) TOP_LEVEL_AWAIT: Final = ErrorCode( "top-level-await", "Warn about top level await expressions", "General" ) AWAIT_NOT_ASYNC: Final = ErrorCode( "await-not-async", 'Warn about "await" outside coroutine ("async def")', "General" ) # These error codes aren't enabled by default. NO_UNTYPED_DEF: Final = ErrorCode( "no-untyped-def", "Check that every function has an annotation", "General" ) NO_UNTYPED_CALL: Final = ErrorCode( "no-untyped-call", "Disallow calling functions without type annotations from annotated functions", "General", ) REDUNDANT_CAST: Final = ErrorCode( "redundant-cast", "Check that cast changes type of expression", "General" ) ASSERT_TYPE: Final = ErrorCode("assert-type", "Check that assert_type() call succeeds", "General") COMPARISON_OVERLAP: Final = ErrorCode( "comparison-overlap", "Check that types in comparisons and 'in' expressions overlap", "General" ) NO_ANY_UNIMPORTED: Final = ErrorCode( "no-any-unimported", 'Reject "Any" types from unfollowed imports', "General" ) NO_ANY_RETURN: Final = ErrorCode( "no-any-return", 'Reject returning value with "Any" type if return type is not "Any"', "General", ) UNREACHABLE: Final = ErrorCode( "unreachable", "Warn about unreachable statements or expressions", "General" ) ANNOTATION_UNCHECKED: Final = ErrorCode( "annotation-unchecked", "Notify about type annotations in unchecked functions", "General" ) TYPEDDICT_READONLY_MUTATED: Final = ErrorCode( "typeddict-readonly-mutated", "TypedDict's ReadOnly key is mutated", "General" ) POSSIBLY_UNDEFINED: Final = ErrorCode( "possibly-undefined", "Warn about variables that are defined only in some execution paths", "General", default_enabled=False, ) REDUNDANT_EXPR: Final = ErrorCode( "redundant-expr", "Warn about redundant expressions", "General", default_enabled=False ) TRUTHY_BOOL: Final = ErrorCode( "truthy-bool", "Warn about expressions that could always evaluate to true in boolean contexts", "General", default_enabled=False, ) TRUTHY_FUNCTION: Final = ErrorCode( "truthy-function", "Warn about function that always evaluate to true in boolean contexts", "General", ) TRUTHY_ITERABLE: Final = ErrorCode( "truthy-iterable", "Warn about Iterable expressions that could always evaluate to true in boolean contexts", "General", default_enabled=False, ) NAME_MATCH: Final = ErrorCode( "name-match", "Check that type definition has consistent naming", "General" ) NO_OVERLOAD_IMPL: Final = ErrorCode( "no-overload-impl", "Check that overloaded functions outside stub files have an implementation", "General", ) IGNORE_WITHOUT_CODE: Final = ErrorCode( "ignore-without-code", "Warn about '# type: ignore' comments which do not have error codes", "General", default_enabled=False, ) UNUSED_AWAITABLE: Final = ErrorCode( "unused-awaitable", "Ensure that all awaitable values are used", "General", default_enabled=False, ) REDUNDANT_SELF_TYPE: Final = ErrorCode( "redundant-self", "Warn about redundant Self type annotations on method first argument", "General", default_enabled=False, ) USED_BEFORE_DEF: Final = ErrorCode( "used-before-def", "Warn about variables that are used before they are defined", "General" ) UNUSED_IGNORE: Final = ErrorCode( "unused-ignore", "Ensure that all type ignores are used", "General", default_enabled=False ) EXPLICIT_OVERRIDE_REQUIRED: Final = ErrorCode( "explicit-override", "Require @override decorator if method is overriding a base class method", "General", default_enabled=False, ) UNIMPORTED_REVEAL: Final = ErrorCode( "unimported-reveal", "Require explicit import from typing or typing_extensions for reveal_type", "General", default_enabled=False, ) MUTABLE_OVERRIDE: Final = ErrorCode( "mutable-override", "Reject covariant overrides for mutable attributes", "General", default_enabled=False, ) EXHAUSTIVE_MATCH: Final = ErrorCode( "exhaustive-match", "Reject match statements that are not exhaustive", "General", default_enabled=False, ) METACLASS: Final = ErrorCode("metaclass", "Ensure that metaclass is valid", "General") MAYBE_UNRECOGNIZED_STR_TYPEFORM: Final = ErrorCode( "maybe-unrecognized-str-typeform", "Error when a string is used where a TypeForm is expected but a string annotation cannot be recognized", "General", ) # Syntax errors are often blocking. SYNTAX: Final = ErrorCode("syntax", "Report syntax errors", "General") # This is an internal marker code for a whole-file ignore. It is not intended to # be user-visible. FILE: Final = ErrorCode("file", "Internal marker for a whole file being ignored", "General") del error_codes[FILE.code] # This is a catch-all for remaining uncategorized errors. MISC: Final = ErrorCode("misc", "Miscellaneous other checks", "General") OVERLOAD_CANNOT_MATCH: Final = ErrorCode( "overload-cannot-match", "Warn if an @overload signature can never be matched", "General", sub_code_of=MISC, ) OVERLOAD_OVERLAP: Final = ErrorCode( "overload-overlap", "Warn if multiple @overload variants overlap in unsafe ways", "General", sub_code_of=MISC, ) PROPERTY_DECORATOR: Final = ErrorCode( "prop-decorator", "Decorators on top of @property are not supported", "General", sub_code_of=MISC, ) UNTYPED_DECORATOR: Final = ErrorCode( "untyped-decorator", "Error if an untyped decorator makes a typed function untyped", "General" ) NARROWED_TYPE_NOT_SUBTYPE: Final = ErrorCode( "narrowed-type-not-subtype", "Warn if a TypeIs function's narrowed type is not a subtype of the original type", "General", ) EXPLICIT_ANY: Final = ErrorCode( "explicit-any", "Warn about explicit Any type annotations", "General" ) DEPRECATED: Final = ErrorCode( "deprecated", "Warn when importing or using deprecated (overloaded) functions, methods or classes", "General", default_enabled=False, ) # This copy will not include any error codes defined later in the plugins. mypy_error_codes = error_codes.copy() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/errors.py0000644000175100017510000015134515112307767015154 0ustar00runnerrunnerfrom __future__ import annotations import os.path import sys import traceback from collections import defaultdict from collections.abc import Iterable, Iterator from itertools import chain from typing import Callable, Final, NoReturn, Optional, TextIO, TypeVar from typing_extensions import Literal, Self, TypeAlias as _TypeAlias from mypy import errorcodes as codes from mypy.error_formatter import ErrorFormatter from mypy.errorcodes import IMPORT, IMPORT_NOT_FOUND, IMPORT_UNTYPED, ErrorCode, mypy_error_codes from mypy.nodes import Context from mypy.options import Options from mypy.scope import Scope from mypy.types import Type from mypy.util import DEFAULT_SOURCE_OFFSET, is_typeshed_file from mypy.version import __version__ as mypy_version T = TypeVar("T") # Show error codes for some note-level messages (these usually appear alone # and not as a comment for a previous error-level message). SHOW_NOTE_CODES: Final = {codes.ANNOTATION_UNCHECKED, codes.DEPRECATED} # Do not add notes with links to error code docs to errors with these codes. # We can tweak this set as we get more experience about what is helpful and what is not. HIDE_LINK_CODES: Final = { # This is a generic error code, so it has no useful docs codes.MISC, # These are trivial and have some custom notes (e.g. for list being invariant) codes.ASSIGNMENT, codes.ARG_TYPE, codes.RETURN_VALUE, # Undefined name/attribute errors are self-explanatory codes.ATTR_DEFINED, codes.NAME_DEFINED, # Overrides have a custom link to docs codes.OVERRIDE, } BASE_RTD_URL: Final = "https://mypy.rtfd.io/en/stable/_refs.html#code" # Keep track of the original error code when the error code of a message is changed. # This is used to give notes about out-of-date "type: ignore" comments. original_error_codes: Final = {codes.LITERAL_REQ: codes.MISC, codes.TYPE_ABSTRACT: codes.MISC} class ErrorInfo: """Representation of a single error message.""" # Description of a sequence of imports that refer to the source file # related to this error. Each item is a (path, line number) tuple. import_ctx: list[tuple[str, int]] # The path to source file that was the source of this error. file = "" # The fully-qualified id of the source module for this error. module: str | None = None # The name of the type in which this error is located at. type: str | None = "" # Unqualified, may be None # The name of the function or member in which this error is located at. function_or_member: str | None = "" # Unqualified, may be None # The line number related to this error within file. line = 0 # -1 if unknown # The column number related to this error with file. column = 0 # -1 if unknown # The end line number related to this error within file. end_line = 0 # -1 if unknown # The end column number related to this error with file. end_column = 0 # -1 if unknown # Either 'error' or 'note' severity = "" # The error message. message = "" # The error code. code: ErrorCode | None = None # If True, we should halt build after the file that generated this error. blocker = False # Only report this particular messages once per program. only_once = False # Actual origin of the error message as tuple (path, line number, end line number) # If end line number is unknown, use line number. origin: tuple[str, Iterable[int]] # Fine-grained incremental target where this was reported target: str | None = None # If True, don't show this message in output, but still record the error (needed # by mypy daemon) hidden = False # For notes, specifies (optionally) the error this note is attached to. This is used to # simplify error code matching and de-duplication logic for complex multi-line notes. parent_error: ErrorInfo | None = None def __init__( self, import_ctx: list[tuple[str, int]], *, file: str, module: str | None, typ: str | None, function_or_member: str | None, line: int, column: int, end_line: int, end_column: int, severity: str, message: str, code: ErrorCode | None, blocker: bool, only_once: bool, origin: tuple[str, Iterable[int]] | None = None, target: str | None = None, priority: int = 0, parent_error: ErrorInfo | None = None, ) -> None: self.import_ctx = import_ctx self.file = file self.module = module self.type = typ self.function_or_member = function_or_member self.line = line self.column = column self.end_line = end_line self.end_column = end_column self.severity = severity self.message = message self.code = code self.blocker = blocker self.only_once = only_once self.origin = origin or (file, [line]) self.target = target self.priority = priority if parent_error is not None: assert severity == "note", "Only notes can specify parent errors" self.parent_error = parent_error # Type used internally to represent errors: # (path, line, column, end_line, end_column, severity, message, code) ErrorTuple: _TypeAlias = tuple[Optional[str], int, int, int, int, str, str, Optional[ErrorCode]] class ErrorWatcher: """Context manager that can be used to keep track of new errors recorded around a given operation. Errors maintain a stack of such watchers. The handler is called starting at the top of the stack, and is propagated down the stack unless filtered out by one of the ErrorWatcher instances. """ # public attribute for the special treatment of `reveal_type` by # `MessageBuilder.reveal_type`: filter_revealed_type: bool def __init__( self, errors: Errors, *, filter_errors: bool | Callable[[str, ErrorInfo], bool] = False, save_filtered_errors: bool = False, filter_deprecated: bool = False, filter_revealed_type: bool = False, ) -> None: self.errors = errors self._has_new_errors = False self._filter = filter_errors self._filter_deprecated = filter_deprecated self.filter_revealed_type = filter_revealed_type self._filtered: list[ErrorInfo] | None = [] if save_filtered_errors else None def __enter__(self) -> Self: self.errors._watchers.append(self) return self def __exit__(self, exc_type: object, exc_val: object, exc_tb: object) -> Literal[False]: last = self.errors._watchers.pop() assert last == self return False def on_error(self, file: str, info: ErrorInfo) -> bool: """Handler called when a new error is recorded. The default implementation just sets the has_new_errors flag Return True to filter out the error, preventing it from being seen by other ErrorWatcher further down the stack and from being recorded by Errors """ if info.code == codes.DEPRECATED: # Deprecated is not a type error, so it is handled on opt-in basis here. if not self._filter_deprecated: return False self._has_new_errors = True if isinstance(self._filter, bool): should_filter = self._filter elif callable(self._filter): should_filter = self._filter(file, info) else: raise AssertionError(f"invalid error filter: {type(self._filter)}") if should_filter and self._filtered is not None: self._filtered.append(info) return should_filter def has_new_errors(self) -> bool: return self._has_new_errors def filtered_errors(self) -> list[ErrorInfo]: assert self._filtered is not None return self._filtered class IterationDependentErrors: """An `IterationDependentErrors` instance serves to collect the `unreachable`, `redundant-expr`, and `redundant-casts` errors, as well as the revealed types, handled by the individual `IterationErrorWatcher` instances sequentially applied to the same code section.""" # One set of `unreachable`, `redundant-expr`, and `redundant-casts` errors per # iteration step. Meaning of the tuple items: ErrorCode, message, line, column, # end_line, end_column. uselessness_errors: list[set[tuple[ErrorCode, str, int, int, int, int]]] # One set of unreachable line numbers per iteration step. Not only the lines where # the error report occurs but really all unreachable lines. unreachable_lines: list[set[int]] # One list of revealed types for each `reveal_type` statement. Each created list # can grow during the iteration. Meaning of the tuple items: line, column, # end_line, end_column: revealed_types: dict[tuple[int, int, int | None, int | None], list[Type]] def __init__(self) -> None: self.uselessness_errors = [] self.unreachable_lines = [] self.revealed_types = defaultdict(list) def yield_uselessness_error_infos(self) -> Iterator[tuple[str, Context, ErrorCode]]: """Report only those `unreachable`, `redundant-expr`, and `redundant-casts` errors that could not be ruled out in any iteration step.""" persistent_uselessness_errors = set() for candidate in set(chain(*self.uselessness_errors)): if all( (candidate in errors) or (candidate[2] in lines) for errors, lines in zip(self.uselessness_errors, self.unreachable_lines) ): persistent_uselessness_errors.add(candidate) for error_info in persistent_uselessness_errors: context = Context(line=error_info[2], column=error_info[3]) context.end_line = error_info[4] context.end_column = error_info[5] yield error_info[1], context, error_info[0] def yield_revealed_type_infos(self) -> Iterator[tuple[list[Type], Context]]: """Yield all types revealed in at least one iteration step.""" for note_info, types in self.revealed_types.items(): context = Context(line=note_info[0], column=note_info[1]) context.end_line = note_info[2] context.end_column = note_info[3] yield types, context class IterationErrorWatcher(ErrorWatcher): """Error watcher that filters and separately collects `unreachable` errors, `redundant-expr` and `redundant-casts` errors, and revealed types when analysing code sections iteratively to help avoid making too-hasty reports.""" iteration_dependent_errors: IterationDependentErrors def __init__( self, errors: Errors, iteration_dependent_errors: IterationDependentErrors, *, filter_errors: bool | Callable[[str, ErrorInfo], bool] = False, save_filtered_errors: bool = False, filter_deprecated: bool = False, ) -> None: super().__init__( errors, filter_errors=filter_errors, save_filtered_errors=save_filtered_errors, filter_deprecated=filter_deprecated, ) self.iteration_dependent_errors = iteration_dependent_errors iteration_dependent_errors.uselessness_errors.append(set()) iteration_dependent_errors.unreachable_lines.append(set()) def on_error(self, file: str, info: ErrorInfo) -> bool: """Filter out the "iteration-dependent" errors and notes and store their information to handle them after iteration is completed.""" iter_errors = self.iteration_dependent_errors if info.code in (codes.UNREACHABLE, codes.REDUNDANT_EXPR, codes.REDUNDANT_CAST): iter_errors.uselessness_errors[-1].add( (info.code, info.message, info.line, info.column, info.end_line, info.end_column) ) if info.code == codes.UNREACHABLE: iter_errors.unreachable_lines[-1].update(range(info.line, info.end_line + 1)) return True return super().on_error(file, info) class Errors: """Container for compile errors. This class generates and keeps tracks of compile errors and the current error context (nested imports). """ # Map from files to generated error messages. Is an OrderedDict so # that it can be used to order messages based on the order the # files were processed. error_info_map: dict[str, list[ErrorInfo]] # optimization for legacy codebases with many files with errors has_blockers: set[str] # Files that we have reported the errors for flushed_files: set[str] # Current error context: nested import context/stack, as a list of (path, line) pairs. import_ctx: list[tuple[str, int]] # Path name prefix that is removed from all paths, if set. ignore_prefix: str | None = None # Path to current file. file: str = "" # Ignore some errors on these lines of each file # (path -> line -> error-codes) ignored_lines: dict[str, dict[int, list[str]]] # Lines that were skipped during semantic analysis e.g. due to ALWAYS_FALSE, MYPY_FALSE, # or platform/version checks. Those lines would not be type-checked. skipped_lines: dict[str, set[int]] # Lines on which an error was actually ignored. used_ignored_lines: dict[str, dict[int, list[str]]] # Files where all errors should be ignored. ignored_files: set[str] # Collection of reported only_once messages. only_once_messages: set[str] # Set to True to show "In function "foo":" messages. show_error_context: bool = False # Set to True to show column numbers in error messages. show_column_numbers: bool = False # Set to True to show end line and end column in error messages. # This implies `show_column_numbers`. show_error_end: bool = False # Set to True to show absolute file paths in error messages. show_absolute_path: bool = False # State for keeping track of the current fine-grained incremental mode target. # (See mypy.server.update for more about targets.) # Current module id. target_module: str | None = None scope: Scope | None = None # Have we seen an import-related error so far? If yes, we filter out other messages # in some cases to avoid reporting huge numbers of errors. seen_import_error = False _watchers: list[ErrorWatcher] def __init__( self, options: Options, *, read_source: Callable[[str], list[str] | None] | None = None, hide_error_codes: bool | None = None, ) -> None: self.options = options self.hide_error_codes = ( hide_error_codes if hide_error_codes is not None else options.hide_error_codes ) # We use fscache to read source code when showing snippets. self.read_source = read_source self.initialize() def initialize(self) -> None: self.error_info_map = {} self.flushed_files = set() self.import_ctx = [] self.function_or_member = [None] self.ignored_lines = {} self.skipped_lines = {} self.used_ignored_lines = defaultdict(lambda: defaultdict(list)) self.ignored_files = set() self.only_once_messages = set() self.has_blockers = set() self.scope = None self.target_module = None self.seen_import_error = False self._watchers = [] def reset(self) -> None: self.initialize() def set_ignore_prefix(self, prefix: str) -> None: """Set path prefix that will be removed from all paths.""" prefix = os.path.normpath(prefix) # Add separator to the end, if not given. if os.path.basename(prefix) != "": prefix += os.sep self.ignore_prefix = prefix def simplify_path(self, file: str) -> str: if self.options.show_absolute_path: return os.path.abspath(file) else: file = os.path.normpath(file) return remove_path_prefix(file, self.ignore_prefix) def set_file( self, file: str, module: str | None, options: Options, scope: Scope | None = None ) -> None: """Set the path and module id of the current file.""" # The path will be simplified later, in render_messages. That way # * 'file' is always a key that uniquely identifies a source file # that mypy read (simplified paths might not be unique); and # * we only have to simplify in one place, while still supporting # reporting errors for files other than the one currently being # processed. self.file = file self.target_module = module self.scope = scope self.options = options def set_file_ignored_lines( self, file: str, ignored_lines: dict[int, list[str]], ignore_all: bool = False ) -> None: self.ignored_lines[file] = ignored_lines if ignore_all: self.ignored_files.add(file) def set_skipped_lines(self, file: str, skipped_lines: set[int]) -> None: self.skipped_lines[file] = skipped_lines def current_target(self) -> str | None: """Retrieves the current target from the associated scope. If there is no associated scope, use the target module.""" if self.scope is not None: return self.scope.current_target() return self.target_module def current_module(self) -> str | None: return self.target_module def import_context(self) -> list[tuple[str, int]]: """Return a copy of the import context.""" return self.import_ctx.copy() def set_import_context(self, ctx: list[tuple[str, int]]) -> None: """Replace the entire import context with a new value.""" self.import_ctx = ctx.copy() def report( self, line: int, column: int | None, message: str, code: ErrorCode | None = None, *, blocker: bool = False, severity: str = "error", file: str | None = None, only_once: bool = False, origin_span: Iterable[int] | None = None, offset: int = 0, end_line: int | None = None, end_column: int | None = None, parent_error: ErrorInfo | None = None, ) -> ErrorInfo: """Report message at the given line using the current error context. Args: line: line number of error column: column number of error message: message to report code: error code (defaults to 'misc'; not shown for notes) blocker: if True, don't continue analysis after this error severity: 'error' or 'note' file: if non-None, override current file as context only_once: if True, only report this exact message once per build origin_span: if non-None, override current context as origin (type: ignores have effect here) end_line: if non-None, override current context as end parent_error: an error this note is attached to (for notes only). """ if self.scope: type = self.scope.current_type_name() if self.scope.ignored > 0: type = None # Omit type context if nested function function = self.scope.current_function_name() else: type = None function = None if column is None: column = -1 if end_column is None: if column == -1: end_column = -1 else: end_column = column + 1 if file is None: file = self.file if offset: message = " " * offset + message if origin_span is None: origin_span = [line] if end_line is None: end_line = line code = code or (parent_error.code if parent_error else None) code = code or (codes.MISC if not blocker else None) info = ErrorInfo( import_ctx=self.import_context(), file=file, module=self.current_module(), typ=type, function_or_member=function, line=line, column=column, end_line=end_line, end_column=end_column, severity=severity, message=message, code=code, blocker=blocker, only_once=only_once, origin=(self.file, origin_span), target=self.current_target(), parent_error=parent_error, ) self.add_error_info(info) return info def _add_error_info(self, file: str, info: ErrorInfo) -> None: assert file not in self.flushed_files # process the stack of ErrorWatchers before modifying any internal state # in case we need to filter out the error entirely if self._filter_error(file, info): return if file not in self.error_info_map: self.error_info_map[file] = [] self.error_info_map[file].append(info) if info.blocker: self.has_blockers.add(file) if info.code in (IMPORT, IMPORT_UNTYPED, IMPORT_NOT_FOUND): self.seen_import_error = True def get_watchers(self) -> Iterator[ErrorWatcher]: """Yield the `ErrorWatcher` stack from top to bottom.""" i = len(self._watchers) while i > 0: i -= 1 yield self._watchers[i] def _filter_error(self, file: str, info: ErrorInfo) -> bool: """ process ErrorWatcher stack from top to bottom, stopping early if error needs to be filtered out """ return any(w.on_error(file, info) for w in self.get_watchers()) def add_error_info(self, info: ErrorInfo) -> None: file, lines = info.origin # process the stack of ErrorWatchers before modifying any internal state # in case we need to filter out the error entirely # NB: we need to do this both here and in _add_error_info, otherwise we # might incorrectly update the sets of ignored or only_once messages if self._filter_error(file, info): return if not info.blocker: # Blockers cannot be ignored if file in self.ignored_lines: # Check each line in this context for "type: ignore" comments. # line == end_line for most nodes, so we only loop once. for scope_line in lines: if self.is_ignored_error(scope_line, info, self.ignored_lines[file]): err_code = info.code or codes.MISC if not self.is_error_code_enabled(err_code): # Error code is disabled - don't mark the current # "type: ignore" comment as used. return # Annotation requests us to ignore all errors on this line. self.used_ignored_lines[file][scope_line].append(err_code.code) return if file in self.ignored_files: return if info.only_once: if info.message in self.only_once_messages: return self.only_once_messages.add(info.message) if ( self.seen_import_error and info.code not in (IMPORT, IMPORT_UNTYPED, IMPORT_NOT_FOUND) and self.has_many_errors() ): # Missing stubs can easily cause thousands of errors about # Any types, especially when upgrading to mypy 0.900, # which no longer bundles third-party library stubs. Avoid # showing too many errors to make it easier to see # import-related errors. info.hidden = True self.report_hidden_errors(info) self._add_error_info(file, info) ignored_codes = self.ignored_lines.get(file, {}).get(info.line, []) if ignored_codes and info.code: # Something is ignored on the line, but not this error, so maybe the error # code is incorrect. msg = f'Error code "{info.code.code}" not covered by "type: ignore" comment' if info.code in original_error_codes: # If there seems to be a "type: ignore" with a stale error # code, report a more specific note. old_code = original_error_codes[info.code].code if old_code in ignored_codes: msg = ( f'Error code changed to {info.code.code}; "type: ignore" comment ' + "may be out of date" ) note = ErrorInfo( import_ctx=info.import_ctx, file=info.file, module=info.module, typ=info.type, function_or_member=info.function_or_member, line=info.line, column=info.column, end_line=info.end_line, end_column=info.end_column, severity="note", message=msg, code=None, blocker=False, only_once=False, ) self._add_error_info(file, note) if ( self.options.show_error_code_links and not self.options.hide_error_codes and info.code is not None and info.code not in HIDE_LINK_CODES and info.code.code in mypy_error_codes ): message = f"See {BASE_RTD_URL}-{info.code.code} for more info" if message in self.only_once_messages: return self.only_once_messages.add(message) info = ErrorInfo( import_ctx=info.import_ctx, file=info.file, module=info.module, typ=info.type, function_or_member=info.function_or_member, line=info.line, column=info.column, end_line=info.end_line, end_column=info.end_column, severity="note", message=message, code=info.code, blocker=False, only_once=True, priority=20, ) self._add_error_info(file, info) def has_many_errors(self) -> bool: if self.options.many_errors_threshold < 0: return False if len(self.error_info_map) >= self.options.many_errors_threshold: return True if ( sum(len(errors) for errors in self.error_info_map.values()) >= self.options.many_errors_threshold ): return True return False def report_hidden_errors(self, info: ErrorInfo) -> None: message = ( "(Skipping most remaining errors due to unresolved imports or missing stubs; " + "fix these first)" ) if message in self.only_once_messages: return self.only_once_messages.add(message) new_info = ErrorInfo( import_ctx=info.import_ctx, file=info.file, module=info.module, typ=None, function_or_member=None, line=info.line, column=info.column, end_line=info.end_line, end_column=info.end_column, severity="note", message=message, code=None, blocker=False, only_once=True, origin=info.origin, target=info.target, ) self._add_error_info(info.origin[0], new_info) def is_ignored_error(self, line: int, info: ErrorInfo, ignores: dict[int, list[str]]) -> bool: if info.blocker: # Blocking errors can never be ignored return False if info.code and not self.is_error_code_enabled(info.code): return True if line not in ignores: return False if not ignores[line]: # Empty list means that we ignore all errors return True if info.code and self.is_error_code_enabled(info.code): return ( info.code.code in ignores[line] or info.code.sub_code_of is not None and info.code.sub_code_of.code in ignores[line] ) return False def is_error_code_enabled(self, error_code: ErrorCode) -> bool: if self.options: current_mod_disabled = self.options.disabled_error_codes current_mod_enabled = self.options.enabled_error_codes else: current_mod_disabled = set() current_mod_enabled = set() if error_code in current_mod_disabled: return False elif error_code in current_mod_enabled: return True elif error_code.sub_code_of is not None and error_code.sub_code_of in current_mod_disabled: return False else: return error_code.default_enabled def clear_errors_in_targets(self, path: str, targets: set[str]) -> None: """Remove errors in specific fine-grained targets within a file.""" if path in self.error_info_map: new_errors = [] has_blocker = False for info in self.error_info_map[path]: if info.target not in targets: new_errors.append(info) has_blocker |= info.blocker elif info.only_once: self.only_once_messages.remove(info.message) self.error_info_map[path] = new_errors if not has_blocker and path in self.has_blockers: self.has_blockers.remove(path) def generate_unused_ignore_errors(self, file: str) -> None: if ( is_typeshed_file(self.options.abs_custom_typeshed_dir if self.options else None, file) or file in self.ignored_files ): return ignored_lines = self.ignored_lines[file] used_ignored_lines = self.used_ignored_lines[file] for line, ignored_codes in ignored_lines.items(): if line in self.skipped_lines[file]: continue if codes.UNUSED_IGNORE.code in ignored_codes: continue used_ignored_codes = set(used_ignored_lines[line]) unused_ignored_codes = [c for c in ignored_codes if c not in used_ignored_codes] # `ignore` is used if not ignored_codes and used_ignored_codes: continue # All codes appearing in `ignore[...]` are used if ignored_codes and not unused_ignored_codes: continue # Display detail only when `ignore[...]` specifies more than one error code unused_codes_message = "" if len(ignored_codes) > 1 and unused_ignored_codes: unused_codes_message = f"[{', '.join(unused_ignored_codes)}]" message = f'Unused "type: ignore{unused_codes_message}" comment' for unused in unused_ignored_codes: narrower = set(used_ignored_codes) & codes.sub_code_map[unused] if narrower: message += f", use narrower [{', '.join(narrower)}] instead of [{unused}] code" # Don't use report since add_error_info will ignore the error! info = ErrorInfo( import_ctx=self.import_context(), file=file, module=self.current_module(), typ=None, function_or_member=None, line=line, column=-1, end_line=line, end_column=-1, severity="error", message=message, code=codes.UNUSED_IGNORE, blocker=False, only_once=False, origin=(self.file, [line]), target=self.target_module, ) self._add_error_info(file, info) def generate_ignore_without_code_errors( self, file: str, is_warning_unused_ignores: bool ) -> None: if ( is_typeshed_file(self.options.abs_custom_typeshed_dir if self.options else None, file) or file in self.ignored_files ): return used_ignored_lines = self.used_ignored_lines[file] # If the whole file is ignored, ignore it. if used_ignored_lines: _, used_codes = min(used_ignored_lines.items()) if codes.FILE.code in used_codes: return for line, ignored_codes in self.ignored_lines[file].items(): if ignored_codes: continue # If the ignore is itself unused and that would be warned about, let # that error stand alone if is_warning_unused_ignores and not used_ignored_lines[line]: continue codes_hint = "" ignored_codes = sorted(set(used_ignored_lines[line])) if ignored_codes: codes_hint = f' (consider "type: ignore[{", ".join(ignored_codes)}]" instead)' message = f'"type: ignore" comment without error code{codes_hint}' # Don't use report since add_error_info will ignore the error! info = ErrorInfo( import_ctx=self.import_context(), file=file, module=self.current_module(), typ=None, function_or_member=None, line=line, column=-1, end_line=line, end_column=-1, severity="error", message=message, code=codes.IGNORE_WITHOUT_CODE, blocker=False, only_once=False, origin=(self.file, [line]), target=self.target_module, ) self._add_error_info(file, info) def num_messages(self) -> int: """Return the number of generated messages.""" return sum(len(x) for x in self.error_info_map.values()) def is_errors(self) -> bool: """Are there any generated messages?""" return bool(self.error_info_map) def is_blockers(self) -> bool: """Are the any errors that are blockers?""" return bool(self.has_blockers) def blocker_module(self) -> str | None: """Return the module with a blocking error, or None if not possible.""" for path in self.has_blockers: for err in self.error_info_map[path]: if err.blocker: return err.module return None def is_errors_for_file(self, file: str) -> bool: """Are there any errors for the given file?""" return file in self.error_info_map and file not in self.ignored_files def prefer_simple_messages(self) -> bool: """Should we generate simple/fast error messages? Return True if errors are not shown to user, i.e. errors are ignored or they are collected for internal use only. If True, we should prefer to generate a simple message quickly. All normal errors should still be reported. """ if self.file in self.ignored_files: # Errors ignored, so no point generating fancy messages return True if self._watchers: _watcher = self._watchers[-1] if _watcher._filter is True and _watcher._filtered is None: # Errors are filtered return True return False def raise_error(self, use_stdout: bool = True) -> NoReturn: """Raise a CompileError with the generated messages. Render the messages suitable for displaying. """ # self.new_messages() will format all messages that haven't already # been returned from a file_messages() call. raise CompileError( self.new_messages(), use_stdout=use_stdout, module_with_blocker=self.blocker_module() ) def format_messages( self, error_tuples: list[ErrorTuple], source_lines: list[str] | None ) -> list[str]: """Return a string list that represents the error messages. Use a form suitable for displaying to the user. If self.pretty is True also append a relevant trimmed source code line (only for severity 'error'). """ a: list[str] = [] for file, line, column, end_line, end_column, severity, message, code in error_tuples: s = "" if file is not None: if self.options.show_column_numbers and line >= 0 and column >= 0: srcloc = f"{file}:{line}:{1 + column}" if self.options.show_error_end and end_line >= 0 and end_column >= 0: srcloc += f":{end_line}:{end_column}" elif line >= 0: srcloc = f"{file}:{line}" else: srcloc = file s = f"{srcloc}: {severity}: {message}" else: s = message if ( not self.hide_error_codes and code and (severity != "note" or code in SHOW_NOTE_CODES) ): # If note has an error code, it is related to a previous error. Avoid # displaying duplicate error codes. s = f"{s} [{code.code}]" a.append(s) if self.options.pretty: # Add source code fragment and a location marker. if severity == "error" and source_lines and line > 0: source_line = source_lines[line - 1] source_line_expanded = source_line.expandtabs() if column < 0: # Something went wrong, take first non-empty column. column = len(source_line) - len(source_line.lstrip()) # Shifts column after tab expansion column = len(source_line[:column].expandtabs()) end_column = len(source_line[:end_column].expandtabs()) # Note, currently coloring uses the offset to detect source snippets, # so these offsets should not be arbitrary. a.append(" " * DEFAULT_SOURCE_OFFSET + source_line_expanded) marker = "^" if end_line == line and end_column > column: marker = f'^{"~" * (end_column - column - 1)}' elif end_line != line: # just highlight the first line instead marker = f'^{"~" * (len(source_line_expanded) - column - 1)}' a.append(" " * (DEFAULT_SOURCE_OFFSET + column) + marker) return a def file_messages(self, path: str, formatter: ErrorFormatter | None = None) -> list[str]: """Return a string list of new error messages from a given file. Use a form suitable for displaying to the user. """ if path not in self.error_info_map: return [] error_info = self.error_info_map[path] error_info = [info for info in error_info if not info.hidden] error_info = self.remove_duplicates(self.sort_messages(error_info)) error_tuples = self.render_messages(error_info) if formatter is not None: errors = create_errors(error_tuples) return [formatter.report_error(err) for err in errors] self.flushed_files.add(path) source_lines = None if self.options.pretty and self.read_source: # Find shadow file mapping and read source lines if a shadow file exists for the given path. # If shadow file mapping is not found, read source lines mapped_path = self.find_shadow_file_mapping(path) if mapped_path: source_lines = self.read_source(mapped_path) else: source_lines = self.read_source(path) return self.format_messages(error_tuples, source_lines) def find_shadow_file_mapping(self, path: str) -> str | None: """Return the shadow file path for a given source file path or None.""" if self.options.shadow_file is None: return None for i in self.options.shadow_file: if i[0] == path: return i[1] return None def new_messages(self) -> list[str]: """Return a string list of new error messages. Use a form suitable for displaying to the user. Errors from different files are ordered based on the order in which they first generated an error. """ msgs = [] for path in self.error_info_map.keys(): if path not in self.flushed_files: msgs.extend(self.file_messages(path)) return msgs def targets(self) -> set[str]: """Return a set of all targets that contain errors.""" # TODO: Make sure that either target is always defined or that not being defined # is okay for fine-grained incremental checking. return { info.target for errs in self.error_info_map.values() for info in errs if info.target } def render_messages(self, errors: list[ErrorInfo]) -> list[ErrorTuple]: """Translate the messages into a sequence of tuples. Each tuple is of form (path, line, col, severity, message, code). The rendered sequence includes information about error contexts. The path item may be None. If the line item is negative, the line number is not defined for the tuple. """ result: list[ErrorTuple] = [] prev_import_context: list[tuple[str, int]] = [] prev_function_or_member: str | None = None prev_type: str | None = None for e in errors: # Report module import context, if different from previous message. if not self.options.show_error_context: pass elif e.import_ctx != prev_import_context: last = len(e.import_ctx) - 1 i = last while i >= 0: path, line = e.import_ctx[i] fmt = "{}:{}: note: In module imported here" if i < last: fmt = "{}:{}: note: ... from here" if i > 0: fmt += "," else: fmt += ":" # Remove prefix to ignore from path (if present) to # simplify path. path = remove_path_prefix(path, self.ignore_prefix) result.append((None, -1, -1, -1, -1, "note", fmt.format(path, line), None)) i -= 1 file = self.simplify_path(e.file) # Report context within a source file. if not self.options.show_error_context: pass elif e.function_or_member != prev_function_or_member or e.type != prev_type: if e.function_or_member is None: if e.type is None: result.append((file, -1, -1, -1, -1, "note", "At top level:", None)) else: result.append( (file, -1, -1, -1, -1, "note", f'In class "{e.type}":', None) ) else: if e.type is None: result.append( ( file, -1, -1, -1, -1, "note", f'In function "{e.function_or_member}":', None, ) ) else: result.append( ( file, -1, -1, -1, -1, "note", 'In member "{}" of class "{}":'.format( e.function_or_member, e.type ), None, ) ) elif e.type != prev_type: if e.type is None: result.append((file, -1, -1, -1, -1, "note", "At top level:", None)) else: result.append((file, -1, -1, -1, -1, "note", f'In class "{e.type}":', None)) result.append( (file, e.line, e.column, e.end_line, e.end_column, e.severity, e.message, e.code) ) prev_import_context = e.import_ctx prev_function_or_member = e.function_or_member prev_type = e.type return result def sort_messages(self, errors: list[ErrorInfo]) -> list[ErrorInfo]: """Sort an array of error messages locally by line number. I.e., sort a run of consecutive messages with the same context by line number, but otherwise retain the general ordering of the messages. """ result: list[ErrorInfo] = [] i = 0 while i < len(errors): i0 = i # Find neighbouring errors with the same context and file. while ( i + 1 < len(errors) and errors[i + 1].import_ctx == errors[i].import_ctx and errors[i + 1].file == errors[i].file ): i += 1 i += 1 # Sort the errors specific to a file according to line number and column. a = sorted(errors[i0:i], key=lambda x: (x.line, x.column)) a = self.sort_within_context(a) result.extend(a) return result def sort_within_context(self, errors: list[ErrorInfo]) -> list[ErrorInfo]: """For the same location decide which messages to show first/last. Currently, we only compare within the same error code, to decide the order of various additional notes. """ result = [] i = 0 while i < len(errors): i0 = i # Find neighbouring errors with the same position and error code. while ( i + 1 < len(errors) and errors[i + 1].line == errors[i].line and errors[i + 1].column == errors[i].column and errors[i + 1].end_line == errors[i].end_line and errors[i + 1].end_column == errors[i].end_column and errors[i + 1].code == errors[i].code ): i += 1 i += 1 # Sort the messages specific to a given error by priority. a = sorted(errors[i0:i], key=lambda x: x.priority) result.extend(a) return result def remove_duplicates(self, errors: list[ErrorInfo]) -> list[ErrorInfo]: filtered_errors = [] seen_by_line: defaultdict[int, set[tuple[str, str]]] = defaultdict(set) removed = set() for err in errors: if err.parent_error is not None: # Notes with specified parent are removed together with error below. filtered_errors.append(err) elif (err.severity, err.message) not in seen_by_line[err.line]: filtered_errors.append(err) seen_by_line[err.line].add((err.severity, err.message)) else: removed.add(err) return [ err for err in filtered_errors if err.parent_error is None or err.parent_error not in removed ] class CompileError(Exception): """Exception raised when there is a compile error. It can be a parse, semantic analysis, type check or other compilation-related error. CompileErrors raised from an errors object carry all of the messages that have not been reported out by error streaming. This is patched up by build.build to contain either all error messages (if errors were streamed) or none (if they were not). """ messages: list[str] use_stdout = False # Can be set in case there was a module with a blocking error module_with_blocker: str | None = None def __init__( self, messages: list[str], use_stdout: bool = False, module_with_blocker: str | None = None ) -> None: super().__init__("\n".join(messages)) self.messages = messages self.use_stdout = use_stdout self.module_with_blocker = module_with_blocker def remove_path_prefix(path: str, prefix: str | None) -> str: """If path starts with prefix, return copy of path with the prefix removed. Otherwise, return path. If path is None, return None. """ if prefix is not None and path.startswith(prefix): return path[len(prefix) :] else: return path def report_internal_error( err: Exception, file: str | None, line: int, errors: Errors, options: Options, stdout: TextIO | None = None, stderr: TextIO | None = None, ) -> NoReturn: """Report internal error and exit. This optionally starts pdb or shows a traceback. """ stdout = stdout or sys.stdout stderr = stderr or sys.stderr # Dump out errors so far, they often provide a clue. # But catch unexpected errors rendering them. try: for msg in errors.new_messages(): print(msg) except Exception as e: print("Failed to dump errors:", repr(e), file=stderr) # Compute file:line prefix for official-looking error messages. if file: if line: prefix = f"{file}:{line}: " else: prefix = f"{file}: " else: prefix = "" # Print "INTERNAL ERROR" message. print( f"{prefix}error: INTERNAL ERROR --", "Please try using mypy master on GitHub:\n" "https://mypy.readthedocs.io/en/stable/common_issues.html" "#using-a-development-mypy-build", file=stderr, ) if options.show_traceback: print("Please report a bug at https://github.com/python/mypy/issues", file=stderr) else: print( "If this issue continues with mypy master, " "please report a bug at https://github.com/python/mypy/issues", file=stderr, ) print(f"version: {mypy_version}", file=stderr) # If requested, drop into pdb. This overrides show_tb. if options.pdb: print("Dropping into pdb", file=stderr) import pdb pdb.post_mortem(sys.exc_info()[2]) # If requested, print traceback, else print note explaining how to get one. if options.raise_exceptions: raise err if not options.show_traceback: if not options.pdb: print( "{}: note: please use --show-traceback to print a traceback " "when reporting a bug".format(prefix), file=stderr, ) else: tb = traceback.extract_stack()[:-2] tb2 = traceback.extract_tb(sys.exc_info()[2]) print("Traceback (most recent call last):") for s in traceback.format_list(tb + tb2): print(s.rstrip("\n")) print(f"{type(err).__name__}: {err}", file=stdout) print(f"{prefix}: note: use --pdb to drop into pdb", file=stderr) # Exit. The caller has nothing more to say. # We use exit code 2 to signal that this is no ordinary error. raise SystemExit(2) class MypyError: def __init__( self, file_path: str, line: int, column: int, message: str, errorcode: ErrorCode | None, severity: Literal["error", "note"], ) -> None: self.file_path = file_path self.line = line self.column = column self.message = message self.errorcode = errorcode self.severity = severity self.hints: list[str] = [] # (file_path, line, column) _ErrorLocation = tuple[str, int, int] def create_errors(error_tuples: list[ErrorTuple]) -> list[MypyError]: errors: list[MypyError] = [] latest_error_at_location: dict[_ErrorLocation, MypyError] = {} for error_tuple in error_tuples: file_path, line, column, _, _, severity, message, errorcode = error_tuple if file_path is None: continue assert severity in ("error", "note") if severity == "note": error_location = (file_path, line, column) error = latest_error_at_location.get(error_location) if error is None: # This is purely a note, with no error correlated to it error = MypyError(file_path, line, column, message, errorcode, severity="note") errors.append(error) continue error.hints.append(message) else: error = MypyError(file_path, line, column, message, errorcode, severity="error") errors.append(error) error_location = (file_path, line, column) latest_error_at_location[error_location] = error return errors ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/evalexpr.py0000644000175100017510000001500415112307767015455 0ustar00runnerrunner""" Evaluate an expression. Used by stubtest; in a separate file because things break if we don't put it in a mypyc-compiled file. """ import ast from typing import Final import mypy.nodes from mypy.visitor import ExpressionVisitor UNKNOWN = object() class _NodeEvaluator(ExpressionVisitor[object]): def visit_int_expr(self, o: mypy.nodes.IntExpr) -> int: return o.value def visit_str_expr(self, o: mypy.nodes.StrExpr) -> str: return o.value def visit_bytes_expr(self, o: mypy.nodes.BytesExpr) -> object: # The value of a BytesExpr is a string created from the repr() # of the bytes object. Get the original bytes back. try: return ast.literal_eval(f"b'{o.value}'") except SyntaxError: return ast.literal_eval(f'b"{o.value}"') def visit_float_expr(self, o: mypy.nodes.FloatExpr) -> float: return o.value def visit_complex_expr(self, o: mypy.nodes.ComplexExpr) -> object: return o.value def visit_ellipsis(self, o: mypy.nodes.EllipsisExpr) -> object: return Ellipsis def visit_star_expr(self, o: mypy.nodes.StarExpr) -> object: return UNKNOWN def visit_name_expr(self, o: mypy.nodes.NameExpr) -> object: if o.name == "True": return True elif o.name == "False": return False elif o.name == "None": return None # TODO: Handle more names by figuring out a way to hook into the # symbol table. return UNKNOWN def visit_member_expr(self, o: mypy.nodes.MemberExpr) -> object: return UNKNOWN def visit_yield_from_expr(self, o: mypy.nodes.YieldFromExpr) -> object: return UNKNOWN def visit_yield_expr(self, o: mypy.nodes.YieldExpr) -> object: return UNKNOWN def visit_call_expr(self, o: mypy.nodes.CallExpr) -> object: return UNKNOWN def visit_op_expr(self, o: mypy.nodes.OpExpr) -> object: return UNKNOWN def visit_comparison_expr(self, o: mypy.nodes.ComparisonExpr) -> object: return UNKNOWN def visit_cast_expr(self, o: mypy.nodes.CastExpr) -> object: return o.expr.accept(self) def visit_type_form_expr(self, o: mypy.nodes.TypeFormExpr) -> object: return UNKNOWN def visit_assert_type_expr(self, o: mypy.nodes.AssertTypeExpr) -> object: return o.expr.accept(self) def visit_reveal_expr(self, o: mypy.nodes.RevealExpr) -> object: return UNKNOWN def visit_super_expr(self, o: mypy.nodes.SuperExpr) -> object: return UNKNOWN def visit_unary_expr(self, o: mypy.nodes.UnaryExpr) -> object: operand = o.expr.accept(self) if operand is UNKNOWN: return UNKNOWN if o.op == "-": if isinstance(operand, (int, float, complex)): return -operand elif o.op == "+": if isinstance(operand, (int, float, complex)): return +operand elif o.op == "~": if isinstance(operand, int): return ~operand elif o.op == "not": if isinstance(operand, (bool, int, float, str, bytes)): return not operand return UNKNOWN def visit_assignment_expr(self, o: mypy.nodes.AssignmentExpr) -> object: return o.value.accept(self) def visit_list_expr(self, o: mypy.nodes.ListExpr) -> object: items = [item.accept(self) for item in o.items] if all(item is not UNKNOWN for item in items): return items return UNKNOWN def visit_dict_expr(self, o: mypy.nodes.DictExpr) -> object: items = [ (UNKNOWN if key is None else key.accept(self), value.accept(self)) for key, value in o.items ] if all(key is not UNKNOWN and value is not None for key, value in items): return dict(items) return UNKNOWN def visit_tuple_expr(self, o: mypy.nodes.TupleExpr) -> object: items = [item.accept(self) for item in o.items] if all(item is not UNKNOWN for item in items): return tuple(items) return UNKNOWN def visit_set_expr(self, o: mypy.nodes.SetExpr) -> object: items = [item.accept(self) for item in o.items] if all(item is not UNKNOWN for item in items): return set(items) return UNKNOWN def visit_index_expr(self, o: mypy.nodes.IndexExpr) -> object: return UNKNOWN def visit_type_application(self, o: mypy.nodes.TypeApplication) -> object: return UNKNOWN def visit_lambda_expr(self, o: mypy.nodes.LambdaExpr) -> object: return UNKNOWN def visit_list_comprehension(self, o: mypy.nodes.ListComprehension) -> object: return UNKNOWN def visit_set_comprehension(self, o: mypy.nodes.SetComprehension) -> object: return UNKNOWN def visit_dictionary_comprehension(self, o: mypy.nodes.DictionaryComprehension) -> object: return UNKNOWN def visit_generator_expr(self, o: mypy.nodes.GeneratorExpr) -> object: return UNKNOWN def visit_slice_expr(self, o: mypy.nodes.SliceExpr) -> object: return UNKNOWN def visit_conditional_expr(self, o: mypy.nodes.ConditionalExpr) -> object: return UNKNOWN def visit_type_var_expr(self, o: mypy.nodes.TypeVarExpr) -> object: return UNKNOWN def visit_paramspec_expr(self, o: mypy.nodes.ParamSpecExpr) -> object: return UNKNOWN def visit_type_var_tuple_expr(self, o: mypy.nodes.TypeVarTupleExpr) -> object: return UNKNOWN def visit_type_alias_expr(self, o: mypy.nodes.TypeAliasExpr) -> object: return UNKNOWN def visit_namedtuple_expr(self, o: mypy.nodes.NamedTupleExpr) -> object: return UNKNOWN def visit_enum_call_expr(self, o: mypy.nodes.EnumCallExpr) -> object: return UNKNOWN def visit_typeddict_expr(self, o: mypy.nodes.TypedDictExpr) -> object: return UNKNOWN def visit_newtype_expr(self, o: mypy.nodes.NewTypeExpr) -> object: return UNKNOWN def visit__promote_expr(self, o: mypy.nodes.PromoteExpr) -> object: return UNKNOWN def visit_await_expr(self, o: mypy.nodes.AwaitExpr) -> object: return UNKNOWN def visit_temp_node(self, o: mypy.nodes.TempNode) -> object: return UNKNOWN _evaluator: Final = _NodeEvaluator() def evaluate_expression(expr: mypy.nodes.Expression) -> object: """Evaluate an expression at runtime. Return the result of the expression, or UNKNOWN if the expression cannot be evaluated. """ return expr.accept(_evaluator) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/expandtype.py0000644000175100017510000006067715112307767016030 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterable, Mapping from typing import Final, TypeVar, cast, overload from mypy.nodes import ARG_STAR, FakeInfo, Var from mypy.state import state from mypy.types import ( ANY_STRATEGY, AnyType, BoolTypeQuery, CallableType, DeletedType, ErasedType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecFlavor, ParamSpecType, PartialType, ProperType, TrivialSyntheticTypeTranslator, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, flatten_nested_unions, get_proper_type, split_with_prefix_and_suffix, ) from mypy.typevartuples import split_with_instance # Solving the import cycle: import mypy.type_visitor # ruff: isort: skip # WARNING: these functions should never (directly or indirectly) depend on # is_subtype(), meet_types(), join_types() etc. # TODO: add a static dependency test for this. @overload def expand_type(typ: CallableType, env: Mapping[TypeVarId, Type]) -> CallableType: ... @overload def expand_type(typ: ProperType, env: Mapping[TypeVarId, Type]) -> ProperType: ... @overload def expand_type(typ: Type, env: Mapping[TypeVarId, Type]) -> Type: ... def expand_type(typ: Type, env: Mapping[TypeVarId, Type]) -> Type: """Substitute any type variable references in a type given by a type environment. """ return typ.accept(ExpandTypeVisitor(env)) @overload def expand_type_by_instance(typ: CallableType, instance: Instance) -> CallableType: ... @overload def expand_type_by_instance(typ: ProperType, instance: Instance) -> ProperType: ... @overload def expand_type_by_instance(typ: Type, instance: Instance) -> Type: ... def expand_type_by_instance(typ: Type, instance: Instance) -> Type: """Substitute type variables in type using values from an Instance. Type variables are considered to be bound by the class declaration.""" if not instance.args and not instance.type.has_type_var_tuple_type: return typ else: variables: dict[TypeVarId, Type] = {} if instance.type.has_type_var_tuple_type: assert instance.type.type_var_tuple_prefix is not None assert instance.type.type_var_tuple_suffix is not None args_prefix, args_middle, args_suffix = split_with_instance(instance) tvars_prefix, tvars_middle, tvars_suffix = split_with_prefix_and_suffix( tuple(instance.type.defn.type_vars), instance.type.type_var_tuple_prefix, instance.type.type_var_tuple_suffix, ) tvar = tvars_middle[0] assert isinstance(tvar, TypeVarTupleType) variables = {tvar.id: TupleType(list(args_middle), tvar.tuple_fallback)} instance_args = args_prefix + args_suffix tvars = tvars_prefix + tvars_suffix else: tvars = tuple(instance.type.defn.type_vars) instance_args = instance.args for binder, arg in zip(tvars, instance_args): assert isinstance(binder, TypeVarLikeType) variables[binder.id] = arg return expand_type(typ, variables) F = TypeVar("F", bound=FunctionLike) def freshen_function_type_vars(callee: F) -> F: """Substitute fresh type variables for generic function type variables.""" if isinstance(callee, CallableType): if not callee.is_generic(): return callee tvs = [] tvmap: dict[TypeVarId, Type] = {} for v in callee.variables: tv = v.new_unification_variable(v) tvs.append(tv) tvmap[v.id] = tv fresh = expand_type(callee, tvmap).copy_modified(variables=tvs) return cast(F, fresh) else: assert isinstance(callee, Overloaded) fresh_overload = Overloaded([freshen_function_type_vars(item) for item in callee.items]) return cast(F, fresh_overload) class HasGenericCallable(BoolTypeQuery): def __init__(self) -> None: super().__init__(ANY_STRATEGY) def visit_callable_type(self, t: CallableType) -> bool: return t.is_generic() or super().visit_callable_type(t) # Share a singleton since this is performance sensitive has_generic_callable: Final = HasGenericCallable() T = TypeVar("T", bound=Type) def freshen_all_functions_type_vars(t: T) -> T: result: Type has_generic_callable.reset() if not t.accept(has_generic_callable): return t # Fast path to avoid expensive freshening else: result = t.accept(FreshenCallableVisitor()) assert isinstance(result, type(t)) return result class FreshenCallableVisitor(mypy.type_visitor.TypeTranslator): def visit_callable_type(self, t: CallableType) -> Type: result = super().visit_callable_type(t) assert isinstance(result, ProperType) and isinstance(result, CallableType) return freshen_function_type_vars(result) def visit_type_alias_type(self, t: TypeAliasType) -> Type: # Same as for ExpandTypeVisitor return t.copy_modified(args=[arg.accept(self) for arg in t.args]) class ExpandTypeVisitor(TrivialSyntheticTypeTranslator): """Visitor that substitutes type variables with values.""" variables: Mapping[TypeVarId, Type] # TypeVar id -> TypeVar value def __init__(self, variables: Mapping[TypeVarId, Type]) -> None: super().__init__() self.variables = variables self.recursive_tvar_guard: dict[TypeVarId, Type | None] | None = None def visit_unbound_type(self, t: UnboundType) -> Type: return t def visit_any(self, t: AnyType) -> Type: return t def visit_none_type(self, t: NoneType) -> Type: return t def visit_uninhabited_type(self, t: UninhabitedType) -> Type: return t def visit_deleted_type(self, t: DeletedType) -> Type: return t def visit_erased_type(self, t: ErasedType) -> Type: # This may happen during type inference if some function argument # type is a generic callable, and its erased form will appear in inferred # constraints, then solver may check subtyping between them, which will trigger # unify_generic_callables(), this is why we can get here. Another example is # when inferring type of lambda in generic context, the lambda body contains # a generic method in generic class. return t def visit_instance(self, t: Instance) -> Type: if len(t.args) == 0: return t args = self.expand_type_tuple_with_unpack(t.args) if isinstance(t.type, FakeInfo): # The type checker expands function definitions and bodies # if they depend on constrained type variables but the body # might contain a tuple type comment (e.g., # type: (int, float)), # in which case 't.type' is not yet available. # # See: https://github.com/python/mypy/issues/16649 return t.copy_modified(args=args) if t.type.fullname == "builtins.tuple": # Normalize Tuple[*Tuple[X, ...], ...] -> Tuple[X, ...] arg = args[0] if isinstance(arg, UnpackType): unpacked = get_proper_type(arg.type) if isinstance(unpacked, Instance): # TODO: this and similar asserts below may be unsafe because get_proper_type() # may be called during semantic analysis before all invalid types are removed. assert unpacked.type.fullname == "builtins.tuple" args = list(unpacked.args) return t.copy_modified(args=args) def visit_type_var(self, t: TypeVarType) -> Type: # Normally upper bounds can't contain other type variables, the only exception is # special type variable Self`0 <: C[T, S], where C is the class where Self is used. if t.id.is_self(): t = t.copy_modified(upper_bound=t.upper_bound.accept(self)) repl = self.variables.get(t.id, t) if isinstance(repl, ProperType) and isinstance(repl, Instance): # TODO: do we really need to do this? # If I try to remove this special-casing ~40 tests fail on reveal_type(). return repl.copy_modified(last_known_value=None) if isinstance(repl, TypeVarType) and repl.has_default(): if self.recursive_tvar_guard is None: self.recursive_tvar_guard = {} if (tvar_id := repl.id) in self.recursive_tvar_guard: return self.recursive_tvar_guard[tvar_id] or repl self.recursive_tvar_guard[tvar_id] = None repl.default = repl.default.accept(self) expanded = repl.accept(self) # Note: `expanded is repl` may be true. repl = repl if isinstance(expanded, TypeVarType) else expanded self.recursive_tvar_guard[tvar_id] = repl return repl def visit_param_spec(self, t: ParamSpecType) -> Type: # Set prefix to something empty, so we don't duplicate it below. repl = self.variables.get(t.id, t.copy_modified(prefix=Parameters([], [], []))) if isinstance(repl, ParamSpecType): return repl.copy_modified( flavor=t.flavor, prefix=t.prefix.copy_modified( arg_types=self.expand_types(t.prefix.arg_types) + repl.prefix.arg_types, arg_kinds=t.prefix.arg_kinds + repl.prefix.arg_kinds, arg_names=t.prefix.arg_names + repl.prefix.arg_names, ), ) elif isinstance(repl, Parameters): assert t.flavor == ParamSpecFlavor.BARE return Parameters( self.expand_types(t.prefix.arg_types) + repl.arg_types, t.prefix.arg_kinds + repl.arg_kinds, t.prefix.arg_names + repl.arg_names, variables=[*t.prefix.variables, *repl.variables], imprecise_arg_kinds=repl.imprecise_arg_kinds, ) else: # We could encode Any as trivial parameters etc., but it would be too verbose. # TODO: assert this is a trivial type, like Any, Never, or object. return repl def visit_type_var_tuple(self, t: TypeVarTupleType) -> Type: # Sometimes solver may need to expand a type variable with (a copy of) itself # (usually together with other TypeVars, but it is hard to filter out TypeVarTuples). repl = self.variables.get(t.id, t) if isinstance(repl, TypeVarTupleType): return repl elif isinstance(repl, ProperType) and isinstance(repl, (AnyType, UninhabitedType)): # Some failed inference scenarios will try to set all type variables to Never. # Instead of being picky and require all the callers to wrap them, # do this here instead. # Note: most cases when this happens are handled in expand unpack below, but # in rare cases (e.g. ParamSpec containing Unpack star args) it may be skipped. return t.tuple_fallback.copy_modified(args=[repl]) raise NotImplementedError def visit_unpack_type(self, t: UnpackType) -> Type: # It is impossible to reasonably implement visit_unpack_type, because # unpacking inherently expands to something more like a list of types. # # Relevant sections that can call unpack should call expand_unpack() # instead. # However, if the item is a variadic tuple, we can simply carry it over. # In particular, if we expand A[*tuple[T, ...]] with substitutions {T: str}, # it is hard to assert this without getting proper type. Another important # example is non-normalized types when called from semanal.py. return UnpackType(t.type.accept(self)) def expand_unpack(self, t: UnpackType) -> list[Type]: assert isinstance(t.type, TypeVarTupleType) repl = get_proper_type(self.variables.get(t.type.id, t.type)) if isinstance(repl, UnpackType): repl = get_proper_type(repl.type) if isinstance(repl, TupleType): return repl.items elif ( isinstance(repl, Instance) and repl.type.fullname == "builtins.tuple" or isinstance(repl, TypeVarTupleType) ): return [UnpackType(typ=repl)] elif isinstance(repl, (AnyType, UninhabitedType)): # Replace *Ts = Any with *Ts = *tuple[Any, ...] and same for Never. # These types may appear here as a result of user error or failed inference. return [UnpackType(t.type.tuple_fallback.copy_modified(args=[repl]))] else: raise RuntimeError(f"Invalid type replacement to expand: {repl}") def visit_parameters(self, t: Parameters) -> Type: return t.copy_modified(arg_types=self.expand_types(t.arg_types)) def interpolate_args_for_unpack(self, t: CallableType, var_arg: UnpackType) -> list[Type]: star_index = t.arg_kinds.index(ARG_STAR) prefix = self.expand_types(t.arg_types[:star_index]) suffix = self.expand_types(t.arg_types[star_index + 1 :]) var_arg_type = get_proper_type(var_arg.type) new_unpack: Type if isinstance(var_arg_type, TupleType): # We have something like Unpack[Tuple[Unpack[Ts], X1, X2]] expanded_tuple = var_arg_type.accept(self) assert isinstance(expanded_tuple, ProperType) and isinstance(expanded_tuple, TupleType) expanded_items = expanded_tuple.items fallback = var_arg_type.partial_fallback new_unpack = UnpackType(TupleType(expanded_items, fallback)) elif isinstance(var_arg_type, TypeVarTupleType): # We have plain Unpack[Ts] fallback = var_arg_type.tuple_fallback expanded_items = self.expand_unpack(var_arg) new_unpack = UnpackType(TupleType(expanded_items, fallback)) # Since get_proper_type() may be called in semanal.py before callable # normalization happens, we need to also handle non-normal cases here. elif isinstance(var_arg_type, Instance): # we have something like Unpack[Tuple[Any, ...]] new_unpack = UnpackType(var_arg.type.accept(self)) else: # We have invalid type in Unpack. This can happen when expanding aliases # to Callable[[*Invalid], Ret] new_unpack = AnyType(TypeOfAny.from_error, line=var_arg.line, column=var_arg.column) return prefix + [new_unpack] + suffix def visit_callable_type(self, t: CallableType) -> CallableType: param_spec = t.param_spec() if param_spec is not None: repl = self.variables.get(param_spec.id) # If a ParamSpec in a callable type is substituted with a # callable type, we can't use normal substitution logic, # since ParamSpec is actually split into two components # *P.args and **P.kwargs in the original type. Instead, we # must expand both of them with all the argument types, # kinds and names in the replacement. The return type in # the replacement is ignored. if isinstance(repl, Parameters): # We need to expand both the types in the prefix and the ParamSpec itself expanded = t.copy_modified( arg_types=self.expand_types(t.arg_types[:-2]) + repl.arg_types, arg_kinds=t.arg_kinds[:-2] + repl.arg_kinds, arg_names=t.arg_names[:-2] + repl.arg_names, ret_type=t.ret_type.accept(self), type_guard=(t.type_guard.accept(self) if t.type_guard is not None else None), type_is=(t.type_is.accept(self) if t.type_is is not None else None), imprecise_arg_kinds=(t.imprecise_arg_kinds or repl.imprecise_arg_kinds), variables=[*repl.variables, *t.variables], ) var_arg = expanded.var_arg() if var_arg is not None and isinstance(var_arg.typ, UnpackType): # Sometimes we get new unpacks after expanding ParamSpec. expanded.normalize_trivial_unpack() return expanded elif isinstance(repl, ParamSpecType): # We're substituting one ParamSpec for another; this can mean that the prefix # changes, e.g. substitute Concatenate[int, P] in place of Q. prefix = repl.prefix clean_repl = repl.copy_modified(prefix=Parameters([], [], [])) return t.copy_modified( arg_types=self.expand_types(t.arg_types[:-2]) + prefix.arg_types + [ clean_repl.with_flavor(ParamSpecFlavor.ARGS), clean_repl.with_flavor(ParamSpecFlavor.KWARGS), ], arg_kinds=t.arg_kinds[:-2] + prefix.arg_kinds + t.arg_kinds[-2:], arg_names=t.arg_names[:-2] + prefix.arg_names + t.arg_names[-2:], ret_type=t.ret_type.accept(self), from_concatenate=t.from_concatenate or bool(repl.prefix.arg_types), imprecise_arg_kinds=(t.imprecise_arg_kinds or prefix.imprecise_arg_kinds), ) var_arg = t.var_arg() needs_normalization = False if var_arg is not None and isinstance(var_arg.typ, UnpackType): needs_normalization = True arg_types = self.interpolate_args_for_unpack(t, var_arg.typ) else: arg_types = self.expand_types(t.arg_types) expanded = t.copy_modified( arg_types=arg_types, ret_type=t.ret_type.accept(self), type_guard=(t.type_guard.accept(self) if t.type_guard is not None else None), type_is=(t.type_is.accept(self) if t.type_is is not None else None), ) if needs_normalization: return expanded.with_normalized_var_args() return expanded def visit_overloaded(self, t: Overloaded) -> Type: items: list[CallableType] = [] for item in t.items: new_item = item.accept(self) assert isinstance(new_item, ProperType) assert isinstance(new_item, CallableType) items.append(new_item) return Overloaded(items) def expand_type_list_with_unpack(self, typs: list[Type]) -> list[Type]: """Expands a list of types that has an unpack.""" items: list[Type] = [] for item in typs: if isinstance(item, UnpackType) and isinstance(item.type, TypeVarTupleType): items.extend(self.expand_unpack(item)) else: items.append(item.accept(self)) return items def expand_type_tuple_with_unpack(self, typs: tuple[Type, ...]) -> list[Type]: """Expands a tuple of types that has an unpack.""" # Micro-optimization: Specialized variant of expand_type_list_with_unpack items: list[Type] = [] for item in typs: if isinstance(item, UnpackType) and isinstance(item.type, TypeVarTupleType): items.extend(self.expand_unpack(item)) else: items.append(item.accept(self)) return items def visit_tuple_type(self, t: TupleType) -> Type: items = self.expand_type_list_with_unpack(t.items) if len(items) == 1: # Normalize Tuple[*Tuple[X, ...]] -> Tuple[X, ...] item = items[0] if isinstance(item, UnpackType): unpacked = get_proper_type(item.type) if isinstance(unpacked, Instance): assert unpacked.type.fullname == "builtins.tuple" if t.partial_fallback.type.fullname != "builtins.tuple": # If it is a subtype (like named tuple) we need to preserve it, # this essentially mimics the logic in tuple_fallback(). return t.partial_fallback.accept(self) return unpacked fallback = t.partial_fallback.accept(self) assert isinstance(fallback, ProperType) and isinstance(fallback, Instance) return t.copy_modified(items=items, fallback=fallback) def visit_typeddict_type(self, t: TypedDictType) -> Type: if cached := self.get_cached(t): return cached fallback = t.fallback.accept(self) assert isinstance(fallback, ProperType) and isinstance(fallback, Instance) result = t.copy_modified(item_types=self.expand_types(t.items.values()), fallback=fallback) self.set_cached(t, result) return result def visit_literal_type(self, t: LiteralType) -> Type: # TODO: Verify this implementation is correct return t def visit_union_type(self, t: UnionType) -> Type: # Use cache to avoid O(n**2) or worse expansion of types during translation # (only for large unions, since caching adds overhead) use_cache = len(t.items) > 3 if use_cache and (cached := self.get_cached(t)): return cached expanded = self.expand_types(t.items) # After substituting for type variables in t.items, some resulting types # might be subtypes of others, however calling make_simplified_union() # can cause recursion, so we just remove strict duplicates. simplified = UnionType.make_union( remove_trivial(flatten_nested_unions(expanded)), t.line, t.column ) # This call to get_proper_type() is unfortunate but is required to preserve # the invariant that ProperType will stay ProperType after applying expand_type(), # otherwise a single item union of a type alias will break it. Note this should not # cause infinite recursion since pathological aliases like A = Union[A, B] are # banned at the semantic analysis level. result = get_proper_type(simplified) if use_cache: self.set_cached(t, result) return result def visit_partial_type(self, t: PartialType) -> Type: return t def visit_type_type(self, t: TypeType) -> Type: # TODO: Verify that the new item type is valid (instance or # union of instances or Any). Sadly we can't report errors # here yet. item = t.item.accept(self) return TypeType.make_normalized(item, is_type_form=t.is_type_form) def visit_type_alias_type(self, t: TypeAliasType) -> Type: # Target of the type alias cannot contain type variables (not bound by the type # alias itself), so we just expand the arguments. if len(t.args) == 0: return t args = self.expand_type_list_with_unpack(t.args) # TODO: normalize if target is Tuple, and args are [*tuple[X, ...]]? return t.copy_modified(args=args) def expand_types(self, types: Iterable[Type]) -> list[Type]: a: list[Type] = [] for t in types: a.append(t.accept(self)) return a @overload def expand_self_type(var: Var, typ: ProperType, replacement: ProperType) -> ProperType: ... @overload def expand_self_type(var: Var, typ: Type, replacement: Type) -> Type: ... def expand_self_type(var: Var, typ: Type, replacement: Type) -> Type: """Expand appearances of Self type in a variable type.""" if var.info.self_type is not None and not var.is_property: return expand_type(typ, {var.info.self_type.id: replacement}) return typ def remove_trivial(types: Iterable[Type]) -> list[Type]: """Make trivial simplifications on a list of types without calling is_subtype(). This makes following simplifications: * Remove bottom types (taking into account strict optional setting) * Remove everything else if there is an `object` * Remove strict duplicate types """ removed_none = False new_types = [] all_types = set() for t in types: p_t = get_proper_type(t) if isinstance(p_t, UninhabitedType): continue if isinstance(p_t, NoneType) and not state.strict_optional: removed_none = True continue if isinstance(p_t, Instance) and p_t.type.fullname == "builtins.object": return [p_t] if p_t not in all_types: new_types.append(t) all_types.add(p_t) if new_types: return new_types if removed_none: return [NoneType()] return [UninhabitedType()] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/exportjson.py0000644000175100017510000004501415112307767016046 0ustar00runnerrunner"""Tool to convert mypy cache file to a JSON format (print to stdout). Usage: python -m mypy.exportjson .mypy_cache/.../my_module.data.ff The idea is to make caches introspectable once we've switched to a binary cache format and removed support for the older JSON cache format. This is primarily to support existing use cases that need to inspect cache files, and to support debugging mypy caching issues. This means that this doesn't necessarily need to be kept 1:1 up to date with changes in the binary cache format (to simplify maintenance -- we don't want this to slow down mypy development). """ import argparse import json import sys from typing import Any, Union from typing_extensions import TypeAlias as _TypeAlias from librt.internal import ReadBuffer from mypy.nodes import ( FUNCBASE_FLAGS, FUNCDEF_FLAGS, VAR_FLAGS, ClassDef, DataclassTransformSpec, Decorator, FuncDef, MypyFile, OverloadedFuncDef, OverloadPart, ParamSpecExpr, SymbolNode, SymbolTable, SymbolTableNode, TypeAlias, TypeInfo, TypeVarExpr, TypeVarTupleExpr, Var, get_flags, node_kinds, ) from mypy.types import ( NOT_READY, AnyType, CallableType, ExtraAttrs, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, TupleType, Type, TypeAliasType, TypedDictType, TypeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, get_proper_type, ) Json: _TypeAlias = Union[dict[str, Any], str] class Config: def __init__(self, *, implicit_names: bool = True) -> None: self.implicit_names = implicit_names def convert_binary_cache_to_json(data: bytes, *, implicit_names: bool = True) -> Json: tree = MypyFile.read(ReadBuffer(data)) return convert_mypy_file_to_json(tree, Config(implicit_names=implicit_names)) def convert_mypy_file_to_json(self: MypyFile, cfg: Config) -> Json: return { ".class": "MypyFile", "_fullname": self._fullname, "names": convert_symbol_table(self.names, cfg), "is_stub": self.is_stub, "path": self.path, "is_partial_stub_package": self.is_partial_stub_package, "future_import_flags": sorted(self.future_import_flags), } def convert_symbol_table(self: SymbolTable, cfg: Config) -> Json: data: dict[str, Any] = {".class": "SymbolTable"} for key, value in self.items(): # Skip __builtins__: it's a reference to the builtins # module that gets added to every module by # SemanticAnalyzerPass2.visit_file(), but it shouldn't be # accessed by users of the module. if key == "__builtins__" or value.no_serialize: continue if not cfg.implicit_names and key in { "__spec__", "__package__", "__file__", "__doc__", "__annotations__", "__name__", }: continue data[key] = convert_symbol_table_node(value, cfg) return data def convert_symbol_table_node(self: SymbolTableNode, cfg: Config) -> Json: data: dict[str, Any] = {".class": "SymbolTableNode", "kind": node_kinds[self.kind]} if self.module_hidden: data["module_hidden"] = True if not self.module_public: data["module_public"] = False if self.implicit: data["implicit"] = True if self.plugin_generated: data["plugin_generated"] = True if self.cross_ref: data["cross_ref"] = self.cross_ref elif self.node is not None: data["node"] = convert_symbol_node(self.node, cfg) return data def convert_symbol_node(self: SymbolNode, cfg: Config) -> Json: if isinstance(self, FuncDef): return convert_func_def(self) elif isinstance(self, OverloadedFuncDef): return convert_overloaded_func_def(self) elif isinstance(self, Decorator): return convert_decorator(self) elif isinstance(self, Var): return convert_var(self) elif isinstance(self, TypeInfo): return convert_type_info(self, cfg) elif isinstance(self, TypeAlias): return convert_type_alias(self) elif isinstance(self, TypeVarExpr): return convert_type_var_expr(self) elif isinstance(self, ParamSpecExpr): return convert_param_spec_expr(self) elif isinstance(self, TypeVarTupleExpr): return convert_type_var_tuple_expr(self) return {"ERROR": f"{type(self)!r} unrecognized"} def convert_func_def(self: FuncDef) -> Json: return { ".class": "FuncDef", "name": self._name, "fullname": self._fullname, "arg_names": self.arg_names, "arg_kinds": [int(x.value) for x in self.arg_kinds], "type": None if self.type is None else convert_type(self.type), "flags": get_flags(self, FUNCDEF_FLAGS), "abstract_status": self.abstract_status, # TODO: Do we need expanded, original_def? "dataclass_transform_spec": ( None if self.dataclass_transform_spec is None else convert_dataclass_transform_spec(self.dataclass_transform_spec) ), "deprecated": self.deprecated, "original_first_arg": self.original_first_arg, } def convert_dataclass_transform_spec(self: DataclassTransformSpec) -> Json: return { "eq_default": self.eq_default, "order_default": self.order_default, "kw_only_default": self.kw_only_default, "frozen_default": self.frozen_default, "field_specifiers": list(self.field_specifiers), } def convert_overloaded_func_def(self: OverloadedFuncDef) -> Json: return { ".class": "OverloadedFuncDef", "items": [convert_overload_part(i) for i in self.items], "type": None if self.type is None else convert_type(self.type), "fullname": self._fullname, "impl": None if self.impl is None else convert_overload_part(self.impl), "flags": get_flags(self, FUNCBASE_FLAGS), "deprecated": self.deprecated, "setter_index": self.setter_index, } def convert_overload_part(self: OverloadPart) -> Json: if isinstance(self, FuncDef): return convert_func_def(self) else: return convert_decorator(self) def convert_decorator(self: Decorator) -> Json: return { ".class": "Decorator", "func": convert_func_def(self.func), "var": convert_var(self.var), "is_overload": self.is_overload, } def convert_var(self: Var) -> Json: data: dict[str, Any] = { ".class": "Var", "name": self._name, "fullname": self._fullname, "type": None if self.type is None else convert_type(self.type), "setter_type": None if self.setter_type is None else convert_type(self.setter_type), "flags": get_flags(self, VAR_FLAGS), } if self.final_value is not None: data["final_value"] = self.final_value return data def convert_type_info(self: TypeInfo, cfg: Config) -> Json: data = { ".class": "TypeInfo", "module_name": self.module_name, "fullname": self.fullname, "names": convert_symbol_table(self.names, cfg), "defn": convert_class_def(self.defn), "abstract_attributes": self.abstract_attributes, "type_vars": self.type_vars, "has_param_spec_type": self.has_param_spec_type, "bases": [convert_type(b) for b in self.bases], "mro": self._mro_refs, "_promote": [convert_type(p) for p in self._promote], "alt_promote": None if self.alt_promote is None else convert_type(self.alt_promote), "declared_metaclass": ( None if self.declared_metaclass is None else convert_type(self.declared_metaclass) ), "metaclass_type": ( None if self.metaclass_type is None else convert_type(self.metaclass_type) ), "tuple_type": None if self.tuple_type is None else convert_type(self.tuple_type), "typeddict_type": ( None if self.typeddict_type is None else convert_typeddict_type(self.typeddict_type) ), "flags": get_flags(self, TypeInfo.FLAGS), "metadata": self.metadata, "slots": sorted(self.slots) if self.slots is not None else None, "deletable_attributes": self.deletable_attributes, "self_type": convert_type(self.self_type) if self.self_type is not None else None, "dataclass_transform_spec": ( convert_dataclass_transform_spec(self.dataclass_transform_spec) if self.dataclass_transform_spec is not None else None ), "deprecated": self.deprecated, } return data def convert_class_def(self: ClassDef) -> Json: return { ".class": "ClassDef", "name": self.name, "fullname": self.fullname, "type_vars": [convert_type(v) for v in self.type_vars], } def convert_type_alias(self: TypeAlias) -> Json: data: Json = { ".class": "TypeAlias", "fullname": self._fullname, "module": self.module, "target": convert_type(self.target), "alias_tvars": [convert_type(v) for v in self.alias_tvars], "no_args": self.no_args, "normalized": self.normalized, "python_3_12_type_alias": self.python_3_12_type_alias, } return data def convert_type_var_expr(self: TypeVarExpr) -> Json: return { ".class": "TypeVarExpr", "name": self._name, "fullname": self._fullname, "values": [convert_type(t) for t in self.values], "upper_bound": convert_type(self.upper_bound), "default": convert_type(self.default), "variance": self.variance, } def convert_param_spec_expr(self: ParamSpecExpr) -> Json: return { ".class": "ParamSpecExpr", "name": self._name, "fullname": self._fullname, "upper_bound": convert_type(self.upper_bound), "default": convert_type(self.default), "variance": self.variance, } def convert_type_var_tuple_expr(self: TypeVarTupleExpr) -> Json: return { ".class": "TypeVarTupleExpr", "name": self._name, "fullname": self._fullname, "upper_bound": convert_type(self.upper_bound), "tuple_fallback": convert_type(self.tuple_fallback), "default": convert_type(self.default), "variance": self.variance, } def convert_type(typ: Type) -> Json: if type(typ) is TypeAliasType: return convert_type_alias_type(typ) typ = get_proper_type(typ) if isinstance(typ, Instance): return convert_instance(typ) elif isinstance(typ, AnyType): return convert_any_type(typ) elif isinstance(typ, NoneType): return convert_none_type(typ) elif isinstance(typ, UnionType): return convert_union_type(typ) elif isinstance(typ, TupleType): return convert_tuple_type(typ) elif isinstance(typ, CallableType): return convert_callable_type(typ) elif isinstance(typ, Overloaded): return convert_overloaded(typ) elif isinstance(typ, LiteralType): return convert_literal_type(typ) elif isinstance(typ, TypeVarType): return convert_type_var_type(typ) elif isinstance(typ, TypeType): return convert_type_type(typ) elif isinstance(typ, UninhabitedType): return convert_uninhabited_type(typ) elif isinstance(typ, UnpackType): return convert_unpack_type(typ) elif isinstance(typ, ParamSpecType): return convert_param_spec_type(typ) elif isinstance(typ, TypeVarTupleType): return convert_type_var_tuple_type(typ) elif isinstance(typ, Parameters): return convert_parameters(typ) elif isinstance(typ, TypedDictType): return convert_typeddict_type(typ) elif isinstance(typ, UnboundType): return convert_unbound_type(typ) return {"ERROR": f"{type(typ)!r} unrecognized"} def convert_instance(self: Instance) -> Json: ready = self.type is not NOT_READY if not self.args and not self.last_known_value and not self.extra_attrs: if ready: return self.type.fullname elif self.type_ref: return self.type_ref data: dict[str, Any] = { ".class": "Instance", "type_ref": self.type.fullname if ready else self.type_ref, "args": [convert_type(arg) for arg in self.args], } if self.last_known_value is not None: data["last_known_value"] = convert_type(self.last_known_value) data["extra_attrs"] = convert_extra_attrs(self.extra_attrs) if self.extra_attrs else None return data def convert_extra_attrs(self: ExtraAttrs) -> Json: return { ".class": "ExtraAttrs", "attrs": {k: convert_type(v) for k, v in self.attrs.items()}, "immutable": sorted(self.immutable), "mod_name": self.mod_name, } def convert_type_alias_type(self: TypeAliasType) -> Json: data: Json = { ".class": "TypeAliasType", "type_ref": self.type_ref, "args": [convert_type(arg) for arg in self.args], } return data def convert_any_type(self: AnyType) -> Json: return { ".class": "AnyType", "type_of_any": self.type_of_any, "source_any": convert_type(self.source_any) if self.source_any is not None else None, "missing_import_name": self.missing_import_name, } def convert_none_type(self: NoneType) -> Json: return {".class": "NoneType"} def convert_union_type(self: UnionType) -> Json: return { ".class": "UnionType", "items": [convert_type(t) for t in self.items], "uses_pep604_syntax": self.uses_pep604_syntax, } def convert_tuple_type(self: TupleType) -> Json: return { ".class": "TupleType", "items": [convert_type(t) for t in self.items], "partial_fallback": convert_type(self.partial_fallback), "implicit": self.implicit, } def convert_literal_type(self: LiteralType) -> Json: return {".class": "LiteralType", "value": self.value, "fallback": convert_type(self.fallback)} def convert_type_var_type(self: TypeVarType) -> Json: assert not self.id.is_meta_var() return { ".class": "TypeVarType", "name": self.name, "fullname": self.fullname, "id": self.id.raw_id, "namespace": self.id.namespace, "values": [convert_type(v) for v in self.values], "upper_bound": convert_type(self.upper_bound), "default": convert_type(self.default), "variance": self.variance, } def convert_callable_type(self: CallableType) -> Json: return { ".class": "CallableType", "arg_types": [convert_type(t) for t in self.arg_types], "arg_kinds": [int(x.value) for x in self.arg_kinds], "arg_names": self.arg_names, "ret_type": convert_type(self.ret_type), "fallback": convert_type(self.fallback), "name": self.name, # We don't serialize the definition (only used for error messages). "variables": [convert_type(v) for v in self.variables], "is_ellipsis_args": self.is_ellipsis_args, "implicit": self.implicit, "is_bound": self.is_bound, "type_guard": convert_type(self.type_guard) if self.type_guard is not None else None, "type_is": convert_type(self.type_is) if self.type_is is not None else None, "from_concatenate": self.from_concatenate, "imprecise_arg_kinds": self.imprecise_arg_kinds, "unpack_kwargs": self.unpack_kwargs, } def convert_overloaded(self: Overloaded) -> Json: return {".class": "Overloaded", "items": [convert_type(t) for t in self.items]} def convert_type_type(self: TypeType) -> Json: return {".class": "TypeType", "item": convert_type(self.item)} def convert_uninhabited_type(self: UninhabitedType) -> Json: return {".class": "UninhabitedType"} def convert_unpack_type(self: UnpackType) -> Json: return {".class": "UnpackType", "type": convert_type(self.type)} def convert_param_spec_type(self: ParamSpecType) -> Json: assert not self.id.is_meta_var() return { ".class": "ParamSpecType", "name": self.name, "fullname": self.fullname, "id": self.id.raw_id, "namespace": self.id.namespace, "flavor": self.flavor, "upper_bound": convert_type(self.upper_bound), "default": convert_type(self.default), "prefix": convert_type(self.prefix), } def convert_type_var_tuple_type(self: TypeVarTupleType) -> Json: assert not self.id.is_meta_var() return { ".class": "TypeVarTupleType", "name": self.name, "fullname": self.fullname, "id": self.id.raw_id, "namespace": self.id.namespace, "upper_bound": convert_type(self.upper_bound), "tuple_fallback": convert_type(self.tuple_fallback), "default": convert_type(self.default), "min_len": self.min_len, } def convert_parameters(self: Parameters) -> Json: return { ".class": "Parameters", "arg_types": [convert_type(t) for t in self.arg_types], "arg_kinds": [int(x.value) for x in self.arg_kinds], "arg_names": self.arg_names, "variables": [convert_type(tv) for tv in self.variables], "imprecise_arg_kinds": self.imprecise_arg_kinds, } def convert_typeddict_type(self: TypedDictType) -> Json: return { ".class": "TypedDictType", "items": [[n, convert_type(t)] for (n, t) in self.items.items()], "required_keys": sorted(self.required_keys), "readonly_keys": sorted(self.readonly_keys), "fallback": convert_type(self.fallback), } def convert_unbound_type(self: UnboundType) -> Json: return { ".class": "UnboundType", "name": self.name, "args": [convert_type(a) for a in self.args], "expr": self.original_str_expr, "expr_fallback": self.original_str_fallback, } def main() -> None: parser = argparse.ArgumentParser( description="Convert binary cache files to JSON. " "Create files in the same directory with extra .json extension." ) parser.add_argument( "path", nargs="+", help="mypy cache data file to convert (.data.ff extension)" ) args = parser.parse_args() fnams: list[str] = args.path for fnam in fnams: if not fnam.endswith(".data.ff"): sys.exit(f"error: Expected .data.ff extension, but got {fnam}") with open(fnam, "rb") as f: data = f.read() json_data = convert_binary_cache_to_json(data) new_fnam = fnam + ".json" with open(new_fnam, "w") as f: json.dump(json_data, f) print(f"{fnam} -> {new_fnam}") if __name__ == "__main__": main() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/exprtotype.py0000644000175100017510000002453515112307767016063 0ustar00runnerrunner"""Translate an Expression to a Type value.""" from __future__ import annotations from typing import Callable from mypy.fastparse import parse_type_string from mypy.nodes import ( MISSING_FALLBACK, BytesExpr, CallExpr, ComplexExpr, Context, DictExpr, EllipsisExpr, Expression, FloatExpr, IndexExpr, IntExpr, ListExpr, MemberExpr, NameExpr, OpExpr, RefExpr, StarExpr, StrExpr, SymbolTableNode, TupleExpr, UnaryExpr, get_member_expr_fullname, ) from mypy.options import Options from mypy.types import ( ANNOTATED_TYPE_NAMES, AnyType, CallableArgument, EllipsisType, Instance, ProperType, RawExpressionType, Type, TypedDictType, TypeList, TypeOfAny, UnboundType, UnionType, UnpackType, ) class TypeTranslationError(Exception): """Exception raised when an expression is not valid as a type.""" def _extract_argument_name(expr: Expression) -> str | None: if isinstance(expr, NameExpr) and expr.name == "None": return None elif isinstance(expr, StrExpr): return expr.value else: raise TypeTranslationError() def expr_to_unanalyzed_type( expr: Expression, options: Options, allow_new_syntax: bool = False, _parent: Expression | None = None, allow_unpack: bool = False, lookup_qualified: Callable[[str, Context], SymbolTableNode | None] | None = None, ) -> ProperType: """Translate an expression to the corresponding type. The result is not semantically analyzed. It can be UnboundType or TypeList. Raise TypeTranslationError if the expression cannot represent a type. If lookup_qualified is not provided, the expression is expected to be semantically analyzed. If allow_new_syntax is True, allow all type syntax independent of the target Python version (used in stubs). # TODO: a lot of code here is duplicated in fastparse.py, refactor this. """ # The `parent` parameter is used in recursive calls to provide context for # understanding whether an CallableArgument is ok. name: str | None = None if isinstance(expr, NameExpr): name = expr.name if name == "True": return RawExpressionType(True, "builtins.bool", line=expr.line, column=expr.column) elif name == "False": return RawExpressionType(False, "builtins.bool", line=expr.line, column=expr.column) else: return UnboundType(name, line=expr.line, column=expr.column) elif isinstance(expr, MemberExpr): fullname = get_member_expr_fullname(expr) if fullname: return UnboundType(fullname, line=expr.line, column=expr.column) else: raise TypeTranslationError() elif isinstance(expr, IndexExpr): base = expr_to_unanalyzed_type( expr.base, options, allow_new_syntax, expr, lookup_qualified=lookup_qualified ) if isinstance(base, UnboundType): if base.args: raise TypeTranslationError() if isinstance(expr.index, TupleExpr): args = expr.index.items else: args = [expr.index] if isinstance(expr.base, RefExpr): # Check if the type is Annotated[...]. For this we need the fullname, # which must be looked up if the expression hasn't been semantically analyzed. base_fullname = None if lookup_qualified is not None: sym = lookup_qualified(base.name, expr) if sym and sym.node: base_fullname = sym.node.fullname else: base_fullname = expr.base.fullname if base_fullname is not None and base_fullname in ANNOTATED_TYPE_NAMES: # TODO: this is not the optimal solution as we are basically getting rid # of the Annotation definition and only returning the type information, # losing all the annotations. return expr_to_unanalyzed_type( args[0], options, allow_new_syntax, expr, lookup_qualified=lookup_qualified ) base.args = tuple( expr_to_unanalyzed_type( arg, options, allow_new_syntax, expr, allow_unpack=True, lookup_qualified=lookup_qualified, ) for arg in args ) if not base.args: base.empty_tuple_index = True return base else: raise TypeTranslationError() elif ( isinstance(expr, OpExpr) and expr.op == "|" and ((options.python_version >= (3, 10)) or allow_new_syntax) ): return UnionType( [ expr_to_unanalyzed_type( expr.left, options, allow_new_syntax, lookup_qualified=lookup_qualified ), expr_to_unanalyzed_type( expr.right, options, allow_new_syntax, lookup_qualified=lookup_qualified ), ], uses_pep604_syntax=True, ) elif isinstance(expr, CallExpr) and isinstance(_parent, ListExpr): c = expr.callee names = [] # Go through the dotted member expr chain to get the full arg # constructor name to look up while True: if isinstance(c, NameExpr): names.append(c.name) break elif isinstance(c, MemberExpr): names.append(c.name) c = c.expr else: raise TypeTranslationError() arg_const = ".".join(reversed(names)) # Go through the constructor args to get its name and type. name = None default_type = AnyType(TypeOfAny.unannotated) typ: Type = default_type for i, arg in enumerate(expr.args): if expr.arg_names[i] is not None: if expr.arg_names[i] == "name": if name is not None: # Two names raise TypeTranslationError() name = _extract_argument_name(arg) continue elif expr.arg_names[i] == "type": if typ is not default_type: # Two types raise TypeTranslationError() typ = expr_to_unanalyzed_type( arg, options, allow_new_syntax, expr, lookup_qualified=lookup_qualified ) continue else: raise TypeTranslationError() elif i == 0: typ = expr_to_unanalyzed_type( arg, options, allow_new_syntax, expr, lookup_qualified=lookup_qualified ) elif i == 1: name = _extract_argument_name(arg) else: raise TypeTranslationError() return CallableArgument(typ, name, arg_const, expr.line, expr.column) elif isinstance(expr, ListExpr): return TypeList( [ expr_to_unanalyzed_type( t, options, allow_new_syntax, expr, allow_unpack=True, lookup_qualified=lookup_qualified, ) for t in expr.items ], line=expr.line, column=expr.column, ) elif isinstance(expr, StrExpr): return parse_type_string(expr.value, "builtins.str", expr.line, expr.column) elif isinstance(expr, BytesExpr): return parse_type_string(expr.value, "builtins.bytes", expr.line, expr.column) elif isinstance(expr, UnaryExpr): typ = expr_to_unanalyzed_type( expr.expr, options, allow_new_syntax, lookup_qualified=lookup_qualified ) if isinstance(typ, RawExpressionType): if isinstance(typ.literal_value, int): if expr.op == "-": typ.literal_value *= -1 return typ elif expr.op == "+": return typ raise TypeTranslationError() elif isinstance(expr, IntExpr): return RawExpressionType(expr.value, "builtins.int", line=expr.line, column=expr.column) elif isinstance(expr, FloatExpr): # Floats are not valid parameters for RawExpressionType , so we just # pass in 'None' for now. We'll report the appropriate error at a later stage. return RawExpressionType(None, "builtins.float", line=expr.line, column=expr.column) elif isinstance(expr, ComplexExpr): # Same thing as above with complex numbers. return RawExpressionType(None, "builtins.complex", line=expr.line, column=expr.column) elif isinstance(expr, EllipsisExpr): return EllipsisType(expr.line) elif allow_unpack and isinstance(expr, StarExpr): return UnpackType( expr_to_unanalyzed_type( expr.expr, options, allow_new_syntax, lookup_qualified=lookup_qualified ), from_star_syntax=True, ) elif isinstance(expr, DictExpr): if not expr.items: raise TypeTranslationError() items: dict[str, Type] = {} extra_items_from = [] for item_name, value in expr.items: if not isinstance(item_name, StrExpr): if item_name is None: extra_items_from.append( expr_to_unanalyzed_type( value, options, allow_new_syntax, expr, lookup_qualified=lookup_qualified, ) ) continue raise TypeTranslationError() items[item_name.value] = expr_to_unanalyzed_type( value, options, allow_new_syntax, expr, lookup_qualified=lookup_qualified ) result = TypedDictType( items, set(), set(), Instance(MISSING_FALLBACK, ()), expr.line, expr.column ) result.extra_items_from = extra_items_from return result else: raise TypeTranslationError() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/fastparse.py0000644000175100017510000025342515112307767015632 0ustar00runnerrunnerfrom __future__ import annotations import re import sys import warnings from collections.abc import Sequence from typing import Any, Callable, Final, Literal, Optional, TypeVar, Union, cast, overload from mypy import defaults, errorcodes as codes, message_registry from mypy.errors import Errors from mypy.message_registry import ErrorMessage from mypy.nodes import ( ARG_NAMED, ARG_NAMED_OPT, ARG_OPT, ARG_POS, ARG_STAR, ARG_STAR2, MISSING_FALLBACK, PARAM_SPEC_KIND, TYPE_VAR_KIND, TYPE_VAR_TUPLE_KIND, ArgKind, Argument, AssertStmt, AssignmentExpr, AssignmentStmt, AwaitExpr, Block, BreakStmt, BytesExpr, CallExpr, ClassDef, ComparisonExpr, ComplexExpr, ConditionalExpr, ContinueStmt, Decorator, DelStmt, DictExpr, DictionaryComprehension, EllipsisExpr, Expression, ExpressionStmt, FloatExpr, ForStmt, FuncDef, GeneratorExpr, GlobalDecl, IfStmt, Import, ImportAll, ImportBase, ImportFrom, IndexExpr, IntExpr, LambdaExpr, ListComprehension, ListExpr, MatchStmt, MemberExpr, MypyFile, NameExpr, Node, NonlocalDecl, OperatorAssignmentStmt, OpExpr, OverloadedFuncDef, OverloadPart, PassStmt, RaiseStmt, RefExpr, ReturnStmt, SetComprehension, SetExpr, SliceExpr, StarExpr, Statement, StrExpr, SuperExpr, TempNode, TryStmt, TupleExpr, TypeAliasStmt, TypeParam, UnaryExpr, Var, WhileStmt, WithStmt, YieldExpr, YieldFromExpr, check_arg_names, ) from mypy.options import Options from mypy.patterns import ( AsPattern, ClassPattern, MappingPattern, OrPattern, SequencePattern, SingletonPattern, StarredPattern, ValuePattern, ) from mypy.reachability import infer_reachability_of_if_statement, mark_block_unreachable from mypy.sharedparse import argument_elide_name, special_function_elide_names from mypy.traverser import TraverserVisitor from mypy.types import ( AnyType, CallableArgument, CallableType, EllipsisType, Instance, ProperType, RawExpressionType, TupleType, Type, TypedDictType, TypeList, TypeOfAny, UnboundType, UnionType, UnpackType, ) from mypy.util import bytes_to_human_readable_repr, unnamed_function # pull this into a final variable to make mypyc be quiet about the # the default argument warning PY_MINOR_VERSION: Final = sys.version_info[1] import ast as ast3 from ast import AST, Attribute, Call, FunctionType, Name, Starred, UAdd, UnaryOp, USub def ast3_parse( source: str | bytes, filename: str, mode: str, feature_version: int = PY_MINOR_VERSION ) -> AST: # Ignore warnings that look like: # :1: SyntaxWarning: invalid escape sequence '\.' # because `source` could be anything, including literals like r'(re\.match)' with warnings.catch_warnings(): warnings.simplefilter("ignore", SyntaxWarning) return ast3.parse( source, filename, mode, type_comments=True, # This works the magic feature_version=feature_version, ) if sys.version_info >= (3, 10): Match = ast3.Match MatchValue = ast3.MatchValue MatchSingleton = ast3.MatchSingleton MatchSequence = ast3.MatchSequence MatchStar = ast3.MatchStar MatchMapping = ast3.MatchMapping MatchClass = ast3.MatchClass MatchAs = ast3.MatchAs MatchOr = ast3.MatchOr AstNode = Union[ast3.expr, ast3.stmt, ast3.pattern, ast3.ExceptHandler] else: Match = Any MatchValue = Any MatchSingleton = Any MatchSequence = Any MatchStar = Any MatchMapping = Any MatchClass = Any MatchAs = Any MatchOr = Any AstNode = Union[ast3.expr, ast3.stmt, ast3.ExceptHandler] if sys.version_info >= (3, 11): TryStar = ast3.TryStar else: TryStar = Any if sys.version_info >= (3, 12): ast_TypeAlias = ast3.TypeAlias ast_ParamSpec = ast3.ParamSpec ast_TypeVar = ast3.TypeVar ast_TypeVarTuple = ast3.TypeVarTuple else: ast_TypeAlias = Any ast_ParamSpec = Any ast_TypeVar = Any ast_TypeVarTuple = Any if sys.version_info >= (3, 14): ast_TemplateStr = ast3.TemplateStr ast_Interpolation = ast3.Interpolation else: ast_TemplateStr = Any ast_Interpolation = Any N = TypeVar("N", bound=Node) # There is no way to create reasonable fallbacks at this stage, # they must be patched later. _dummy_fallback: Final = Instance(MISSING_FALLBACK, [], -1) TYPE_IGNORE_PATTERN: Final = re.compile(r"[^#]*#\s*type:\s*ignore\s*(.*)") def parse( source: str | bytes, fnam: str, module: str | None, errors: Errors, options: Options | None = None, ) -> MypyFile: """Parse a source file, without doing any semantic analysis. Return the parse tree. If errors is not provided, raise ParseError on failure. Otherwise, use the errors object to report parse errors. """ ignore_errors = (options is not None and options.ignore_errors) or ( fnam in errors.ignored_files ) # If errors are ignored, we can drop many function bodies to speed up type checking. strip_function_bodies = ignore_errors and (options is None or not options.preserve_asts) if options is None: options = Options() errors.set_file(fnam, module, options=options) is_stub_file = fnam.endswith(".pyi") if is_stub_file: feature_version = defaults.PYTHON3_VERSION[1] if options.python_version[0] == 3 and options.python_version[1] > feature_version: feature_version = options.python_version[1] else: assert options.python_version[0] >= 3 feature_version = options.python_version[1] try: # Disable # - deprecation warnings for 'invalid escape sequence' (Python 3.11 and below) # - syntax warnings for 'invalid escape sequence' (3.12+) and 'return in finally' (3.14+) with warnings.catch_warnings(): warnings.filterwarnings("ignore", category=DeprecationWarning) warnings.filterwarnings("ignore", category=SyntaxWarning) ast = ast3_parse(source, fnam, "exec", feature_version=feature_version) tree = ASTConverter( options=options, is_stub=is_stub_file, errors=errors, strip_function_bodies=strip_function_bodies, path=fnam, ).visit(ast) except RecursionError as e: # For very complex expressions it is possible to hit recursion limit # before reaching a leaf node. # Should reject at top level instead at bottom, since bottom would already # be at the threshold of the recursion limit, and may fail again later. # E.G. x1+x2+x3+...+xn -> BinOp(left=BinOp(left=BinOp(left=... try: # But to prove that is the cause of this particular recursion error, # try to walk the tree using builtin visitor ast3.NodeVisitor().visit(ast) except RecursionError: errors.report( -1, -1, "Source expression too complex to parse", blocker=False, code=codes.MISC ) tree = MypyFile([], [], False, {}) else: # re-raise original recursion error if it *can* be unparsed, # maybe this is some other issue that shouldn't be silenced/misdirected raise e except SyntaxError as e: message = e.msg if feature_version > sys.version_info.minor and message.startswith("invalid syntax"): python_version_str = f"{options.python_version[0]}.{options.python_version[1]}" message += f"; you likely need to run mypy using Python {python_version_str} or newer" errors.report( e.lineno if e.lineno is not None else -1, e.offset, re.sub( r"^(\s*\w)", lambda m: m.group(1).upper(), message ), # Standardizing error message blocker=True, code=codes.SYNTAX, ) tree = MypyFile([], [], False, {}) assert isinstance(tree, MypyFile) return tree def parse_type_ignore_tag(tag: str | None) -> list[str] | None: """Parse optional "[code, ...]" tag after "# type: ignore". Return: * [] if no tag was found (ignore all errors) * list of ignored error codes if a tag was found * None if the tag was invalid. """ if not tag or tag.strip() == "" or tag.strip().startswith("#"): # No tag -- ignore all errors. return [] m = re.match(r"\s*\[([^]#]*)\]\s*(#.*)?$", tag) if m is None: # Invalid "# type: ignore" comment. return None return [code.strip() for code in m.group(1).split(",")] def parse_type_comment( type_comment: str, line: int, column: int, errors: Errors | None ) -> tuple[list[str] | None, ProperType | None]: """Parse type portion of a type comment (+ optional type ignore). Return (ignore info, parsed type). """ try: typ = ast3_parse(type_comment, "", "eval") except SyntaxError: if errors is not None: stripped_type = type_comment.split("#", 2)[0].strip() err_msg = message_registry.TYPE_COMMENT_SYNTAX_ERROR_VALUE.format(stripped_type) errors.report(line, column, err_msg.value, blocker=True, code=err_msg.code) return None, None else: raise else: extra_ignore = TYPE_IGNORE_PATTERN.match(type_comment) if extra_ignore: tag: str | None = extra_ignore.group(1) ignored: list[str] | None = parse_type_ignore_tag(tag) if ignored is None: if errors is not None: errors.report( line, column, message_registry.INVALID_TYPE_IGNORE.value, code=codes.SYNTAX ) else: raise SyntaxError else: ignored = None assert isinstance(typ, ast3.Expression) converted = TypeConverter( errors, line=line, override_column=column, is_evaluated=False ).visit(typ.body) return ignored, converted def parse_type_string( expr_string: str, expr_fallback_name: str, line: int, column: int ) -> ProperType: """Parses a type that was originally present inside of an explicit string. For example, suppose we have the type `Foo["blah"]`. We should parse the string expression "blah" using this function. """ try: _, node = parse_type_comment(f"({expr_string})", line=line, column=column, errors=None) if isinstance(node, (UnboundType, UnionType)) and node.original_str_expr is None: node.original_str_expr = expr_string node.original_str_fallback = expr_fallback_name return node else: return RawExpressionType(expr_string, expr_fallback_name, line, column) except (SyntaxError, ValueError): # Note: the parser will raise a `ValueError` instead of a SyntaxError if # the string happens to contain things like \x00. return RawExpressionType(expr_string, expr_fallback_name, line, column) def is_no_type_check_decorator(expr: ast3.expr) -> bool: if isinstance(expr, Name): return expr.id == "no_type_check" elif isinstance(expr, Attribute): if isinstance(expr.value, Name): return expr.value.id == "typing" and expr.attr == "no_type_check" return False def find_disallowed_expression_in_annotation_scope(expr: ast3.expr | None) -> ast3.expr | None: if expr is None: return None for node in ast3.walk(expr): if isinstance(node, (ast3.Yield, ast3.YieldFrom, ast3.NamedExpr, ast3.Await)): return node return None class ASTConverter: def __init__( self, options: Options, is_stub: bool, errors: Errors, *, strip_function_bodies: bool, path: str, ) -> None: # 'C' for class, 'D' for function signature, 'F' for function, 'L' for lambda self.class_and_function_stack: list[Literal["C", "D", "F", "L"]] = [] self.imports: list[ImportBase] = [] self.options = options self.is_stub = is_stub self.errors = errors self.strip_function_bodies = strip_function_bodies self.path = path self.type_ignores: dict[int, list[str]] = {} # Cache of visit_X methods keyed by type of visited object self.visitor_cache: dict[type, Callable[[AST | None], Any]] = {} def note(self, msg: str, line: int, column: int) -> None: self.errors.report(line, column, msg, severity="note", code=codes.SYNTAX) def fail(self, msg: ErrorMessage, line: int, column: int, blocker: bool) -> None: if blocker or not self.options.ignore_errors: # Make sure self.errors reflects any type ignores that we have parsed self.errors.set_file_ignored_lines( self.path, self.type_ignores, self.options.ignore_errors ) self.errors.report(line, column, msg.value, blocker=blocker, code=msg.code) def fail_merge_overload(self, node: IfStmt) -> None: self.fail( message_registry.FAILED_TO_MERGE_OVERLOADS, line=node.line, column=node.column, blocker=False, ) def visit(self, node: AST | None) -> Any: if node is None: return None typeobj = type(node) visitor = self.visitor_cache.get(typeobj) if visitor is None: method = "visit_" + node.__class__.__name__ visitor = getattr(self, method) self.visitor_cache[typeobj] = visitor return visitor(node) def set_line(self, node: N, n: AstNode) -> N: node.line = n.lineno node.column = n.col_offset node.end_line = getattr(n, "end_lineno", None) node.end_column = getattr(n, "end_col_offset", None) return node def translate_opt_expr_list(self, l: Sequence[AST | None]) -> list[Expression | None]: res: list[Expression | None] = [] for e in l: exp = self.visit(e) res.append(exp) return res def translate_expr_list(self, l: Sequence[AST]) -> list[Expression]: return cast(list[Expression], self.translate_opt_expr_list(l)) def get_lineno(self, node: ast3.expr | ast3.stmt) -> int: if ( isinstance(node, (ast3.AsyncFunctionDef, ast3.ClassDef, ast3.FunctionDef)) and node.decorator_list ): return node.decorator_list[0].lineno return node.lineno def translate_stmt_list( self, stmts: Sequence[ast3.stmt], *, ismodule: bool = False, can_strip: bool = False, is_coroutine: bool = False, ) -> list[Statement]: # A "# type: ignore" comment before the first statement of a module # ignores the whole module: if ( ismodule and stmts and self.type_ignores and min(self.type_ignores) < self.get_lineno(stmts[0]) ): ignores = self.type_ignores[min(self.type_ignores)] if ignores: joined_ignores = ", ".join(ignores) self.fail( message_registry.TYPE_IGNORE_WITH_ERRCODE_ON_MODULE.format(joined_ignores), line=min(self.type_ignores), column=0, blocker=False, ) self.errors.used_ignored_lines[self.errors.file][min(self.type_ignores)].append( codes.FILE.code ) block = Block(self.fix_function_overloads(self.translate_stmt_list(stmts))) self.set_block_lines(block, stmts) mark_block_unreachable(block) return [block] stack = self.class_and_function_stack # Fast case for stripping function bodies if ( can_strip and self.strip_function_bodies and len(stack) == 1 and stack[0] == "F" and not is_coroutine ): return [] res: list[Statement] = [] for stmt in stmts: node = self.visit(stmt) res.append(node) # Slow case for stripping function bodies if can_strip and self.strip_function_bodies: if stack[-2:] == ["C", "F"]: if is_possible_trivial_body(res): can_strip = False else: # We only strip method bodies if they don't assign to an attribute, as # this may define an attribute which has an externally visible effect. visitor = FindAttributeAssign() for s in res: s.accept(visitor) if visitor.found: can_strip = False break if can_strip and stack[-1] == "F" and is_coroutine: # Yields inside an async function affect the return type and should not # be stripped. yield_visitor = FindYield() for s in res: s.accept(yield_visitor) if yield_visitor.found: can_strip = False break if can_strip: return [] return res def translate_type_comment( self, n: ast3.stmt | ast3.arg, type_comment: str | None ) -> ProperType | None: if type_comment is None: return None else: lineno = n.lineno extra_ignore, typ = parse_type_comment(type_comment, lineno, n.col_offset, self.errors) if extra_ignore is not None: self.type_ignores[lineno] = extra_ignore return typ op_map: Final[dict[type[AST], str]] = { ast3.Add: "+", ast3.Sub: "-", ast3.Mult: "*", ast3.MatMult: "@", ast3.Div: "/", ast3.Mod: "%", ast3.Pow: "**", ast3.LShift: "<<", ast3.RShift: ">>", ast3.BitOr: "|", ast3.BitXor: "^", ast3.BitAnd: "&", ast3.FloorDiv: "//", } def from_operator(self, op: ast3.operator) -> str: op_name = ASTConverter.op_map.get(type(op)) if op_name is None: raise RuntimeError("Unknown operator " + str(type(op))) else: return op_name comp_op_map: Final[dict[type[AST], str]] = { ast3.Gt: ">", ast3.Lt: "<", ast3.Eq: "==", ast3.GtE: ">=", ast3.LtE: "<=", ast3.NotEq: "!=", ast3.Is: "is", ast3.IsNot: "is not", ast3.In: "in", ast3.NotIn: "not in", # codespell:ignore notin } def from_comp_operator(self, op: ast3.cmpop) -> str: op_name = ASTConverter.comp_op_map.get(type(op)) if op_name is None: raise RuntimeError("Unknown comparison operator " + str(type(op))) else: return op_name def set_block_lines(self, b: Block, stmts: Sequence[ast3.stmt]) -> None: first, last = stmts[0], stmts[-1] b.line = first.lineno b.column = first.col_offset b.end_line = getattr(last, "end_lineno", None) b.end_column = getattr(last, "end_col_offset", None) if not b.body: return new_first = b.body[0] if isinstance(new_first, (Decorator, OverloadedFuncDef)): # Decorated function lines are different between Python versions. # copy the normalization we do for them to block first lines. b.line = new_first.line b.column = new_first.column def as_block(self, stmts: list[ast3.stmt]) -> Block | None: b = None if stmts: b = Block(self.fix_function_overloads(self.translate_stmt_list(stmts))) self.set_block_lines(b, stmts) return b def as_required_block( self, stmts: list[ast3.stmt], *, can_strip: bool = False, is_coroutine: bool = False ) -> Block: assert stmts # must be non-empty b = Block( self.fix_function_overloads( self.translate_stmt_list(stmts, can_strip=can_strip, is_coroutine=is_coroutine) ) ) self.set_block_lines(b, stmts) return b def fix_function_overloads(self, stmts: list[Statement]) -> list[Statement]: ret: list[Statement] = [] current_overload: list[OverloadPart] = [] current_overload_name: str | None = None last_unconditional_func_def: str | None = None last_if_stmt: IfStmt | None = None last_if_overload: Decorator | FuncDef | OverloadedFuncDef | None = None last_if_stmt_overload_name: str | None = None last_if_unknown_truth_value: IfStmt | None = None skipped_if_stmts: list[IfStmt] = [] for stmt in stmts: if_overload_name: str | None = None if_block_with_overload: Block | None = None if_unknown_truth_value: IfStmt | None = None if isinstance(stmt, IfStmt): # Check IfStmt block to determine if function overloads can be merged if_overload_name = self._check_ifstmt_for_overloads(stmt, current_overload_name) if if_overload_name is not None: (if_block_with_overload, if_unknown_truth_value) = ( self._get_executable_if_block_with_overloads(stmt) ) if ( current_overload_name is not None and isinstance(stmt, (Decorator, FuncDef)) and stmt.name == current_overload_name ): if last_if_stmt is not None: skipped_if_stmts.append(last_if_stmt) if last_if_overload is not None: # Last stmt was an IfStmt with same overload name # Add overloads to current_overload if isinstance(last_if_overload, OverloadedFuncDef): current_overload.extend(last_if_overload.items) else: current_overload.append(last_if_overload) last_if_stmt, last_if_overload = None, None if last_if_unknown_truth_value: self.fail_merge_overload(last_if_unknown_truth_value) last_if_unknown_truth_value = None current_overload.append(stmt) if isinstance(stmt, FuncDef): # This is, strictly speaking, wrong: there might be a decorated # implementation. However, it only affects the error message we show: # ideally it's "already defined", but "implementation must come last" # is also reasonable. # TODO: can we get rid of this completely and just always emit # "implementation must come last" instead? last_unconditional_func_def = stmt.name elif ( current_overload_name is not None and isinstance(stmt, IfStmt) and if_overload_name == current_overload_name and last_unconditional_func_def != current_overload_name ): # IfStmt only contains stmts relevant to current_overload. # Check if stmts are reachable and add them to current_overload, # otherwise skip IfStmt to allow subsequent overload # or function definitions. skipped_if_stmts.append(stmt) if if_block_with_overload is None: if if_unknown_truth_value is not None: self.fail_merge_overload(if_unknown_truth_value) continue if last_if_overload is not None: # Last stmt was an IfStmt with same overload name # Add overloads to current_overload if isinstance(last_if_overload, OverloadedFuncDef): current_overload.extend(last_if_overload.items) else: current_overload.append(last_if_overload) last_if_stmt, last_if_overload = None, None if isinstance(if_block_with_overload.body[-1], OverloadedFuncDef): skipped_if_stmts.extend(cast(list[IfStmt], if_block_with_overload.body[:-1])) current_overload.extend(if_block_with_overload.body[-1].items) else: current_overload.append( cast(Union[Decorator, FuncDef], if_block_with_overload.body[0]) ) else: if last_if_stmt is not None: ret.append(last_if_stmt) last_if_stmt_overload_name = current_overload_name last_if_stmt, last_if_overload = None, None last_if_unknown_truth_value = None if current_overload and current_overload_name == last_if_stmt_overload_name: # Remove last stmt (IfStmt) from ret if the overload names matched # Only happens if no executable block had been found in IfStmt popped = ret.pop() assert isinstance(popped, IfStmt) skipped_if_stmts.append(popped) if current_overload and skipped_if_stmts: # Add bare IfStmt (without overloads) to ret # Required for mypy to be able to still check conditions for if_stmt in skipped_if_stmts: self._strip_contents_from_if_stmt(if_stmt) ret.append(if_stmt) skipped_if_stmts = [] if len(current_overload) == 1: ret.append(current_overload[0]) elif len(current_overload) > 1: ret.append(OverloadedFuncDef(current_overload)) # If we have multiple decorated functions named "_" next to each, we want to treat # them as a series of regular FuncDefs instead of one OverloadedFuncDef because # most of mypy/mypyc assumes that all the functions in an OverloadedFuncDef are # related, but multiple underscore functions next to each other aren't necessarily # related last_unconditional_func_def = None if isinstance(stmt, Decorator) and not unnamed_function(stmt.name): current_overload = [stmt] current_overload_name = stmt.name elif isinstance(stmt, IfStmt) and if_overload_name is not None: current_overload = [] current_overload_name = if_overload_name last_if_stmt = stmt last_if_stmt_overload_name = None if if_block_with_overload is not None: skipped_if_stmts.extend( cast(list[IfStmt], if_block_with_overload.body[:-1]) ) last_if_overload = cast( Union[Decorator, FuncDef, OverloadedFuncDef], if_block_with_overload.body[-1], ) last_if_unknown_truth_value = if_unknown_truth_value else: current_overload = [] current_overload_name = None ret.append(stmt) if current_overload and skipped_if_stmts: # Add bare IfStmt (without overloads) to ret # Required for mypy to be able to still check conditions for if_stmt in skipped_if_stmts: self._strip_contents_from_if_stmt(if_stmt) ret.append(if_stmt) if len(current_overload) == 1: ret.append(current_overload[0]) elif len(current_overload) > 1: ret.append(OverloadedFuncDef(current_overload)) elif last_if_overload is not None: ret.append(last_if_overload) elif last_if_stmt is not None: ret.append(last_if_stmt) return ret def _check_ifstmt_for_overloads( self, stmt: IfStmt, current_overload_name: str | None = None ) -> str | None: """Check if IfStmt contains only overloads with the same name. Return overload_name if found, None otherwise. """ # Check that block only contains a single Decorator, FuncDef, or OverloadedFuncDef. # Multiple overloads have already been merged as OverloadedFuncDef. if not ( len(stmt.body[0].body) == 1 and ( isinstance(stmt.body[0].body[0], (Decorator, OverloadedFuncDef)) or current_overload_name is not None and isinstance(stmt.body[0].body[0], FuncDef) ) or len(stmt.body[0].body) > 1 and isinstance(stmt.body[0].body[-1], OverloadedFuncDef) and all(self._is_stripped_if_stmt(if_stmt) for if_stmt in stmt.body[0].body[:-1]) ): return None overload_name = cast( Union[Decorator, FuncDef, OverloadedFuncDef], stmt.body[0].body[-1] ).name if stmt.else_body is None: return overload_name if len(stmt.else_body.body) == 1: # For elif: else_body contains an IfStmt itself -> do a recursive check. if ( isinstance(stmt.else_body.body[0], (Decorator, FuncDef, OverloadedFuncDef)) and stmt.else_body.body[0].name == overload_name ): return overload_name if ( isinstance(stmt.else_body.body[0], IfStmt) and self._check_ifstmt_for_overloads(stmt.else_body.body[0], current_overload_name) == overload_name ): return overload_name return None def _get_executable_if_block_with_overloads( self, stmt: IfStmt ) -> tuple[Block | None, IfStmt | None]: """Return block from IfStmt that will get executed. Return 0 -> A block if sure that alternative blocks are unreachable. 1 -> An IfStmt if the reachability of it can't be inferred, i.e. the truth value is unknown. """ infer_reachability_of_if_statement(stmt, self.options) if stmt.else_body is None and stmt.body[0].is_unreachable is True: # always False condition with no else return None, None if ( stmt.else_body is None or stmt.body[0].is_unreachable is False and stmt.else_body.is_unreachable is False ): # The truth value is unknown, thus not conclusive return None, stmt if stmt.else_body.is_unreachable is True: # else_body will be set unreachable if condition is always True return stmt.body[0], None if stmt.body[0].is_unreachable is True: # body will be set unreachable if condition is always False # else_body can contain an IfStmt itself (for elif) -> do a recursive check if isinstance(stmt.else_body.body[0], IfStmt): return self._get_executable_if_block_with_overloads(stmt.else_body.body[0]) return stmt.else_body, None return None, stmt def _strip_contents_from_if_stmt(self, stmt: IfStmt) -> None: """Remove contents from IfStmt. Needed to still be able to check the conditions after the contents have been merged with the surrounding function overloads. """ if len(stmt.body) == 1: stmt.body[0].body = [] if stmt.else_body and len(stmt.else_body.body) == 1: if isinstance(stmt.else_body.body[0], IfStmt): self._strip_contents_from_if_stmt(stmt.else_body.body[0]) else: stmt.else_body.body = [] def _is_stripped_if_stmt(self, stmt: Statement) -> bool: """Check stmt to make sure it is a stripped IfStmt. See also: _strip_contents_from_if_stmt """ if not isinstance(stmt, IfStmt): return False if not (len(stmt.body) == 1 and len(stmt.body[0].body) == 0): # Body not empty return False if not stmt.else_body or len(stmt.else_body.body) == 0: # No or empty else_body return True # For elif, IfStmt are stored recursively in else_body return self._is_stripped_if_stmt(stmt.else_body.body[0]) def translate_module_id(self, id: str) -> str: """Return the actual, internal module id for a source text id.""" if id == self.options.custom_typing_module: return "typing" return id def visit_Module(self, mod: ast3.Module) -> MypyFile: self.type_ignores = {} for ti in mod.type_ignores: parsed = parse_type_ignore_tag(ti.tag) if parsed is not None: self.type_ignores[ti.lineno] = parsed else: self.fail(message_registry.INVALID_TYPE_IGNORE, ti.lineno, -1, blocker=False) body = self.fix_function_overloads(self.translate_stmt_list(mod.body, ismodule=True)) ret = MypyFile(body, self.imports, False, ignored_lines=self.type_ignores) ret.is_stub = self.is_stub ret.path = self.path return ret # --- stmt --- # FunctionDef(identifier name, arguments args, # stmt* body, expr* decorator_list, expr? returns, string? type_comment) # arguments = (arg* args, arg? vararg, arg* kwonlyargs, expr* kw_defaults, # arg? kwarg, expr* defaults) def visit_FunctionDef(self, n: ast3.FunctionDef) -> FuncDef | Decorator: return self.do_func_def(n) # AsyncFunctionDef(identifier name, arguments args, # stmt* body, expr* decorator_list, expr? returns, string? type_comment) def visit_AsyncFunctionDef(self, n: ast3.AsyncFunctionDef) -> FuncDef | Decorator: return self.do_func_def(n, is_coroutine=True) def do_func_def( self, n: ast3.FunctionDef | ast3.AsyncFunctionDef, is_coroutine: bool = False ) -> FuncDef | Decorator: """Helper shared between visit_FunctionDef and visit_AsyncFunctionDef.""" self.class_and_function_stack.append("D") no_type_check = bool( n.decorator_list and any(is_no_type_check_decorator(d) for d in n.decorator_list) ) lineno = n.lineno args = self.transform_args(n.args, lineno, no_type_check=no_type_check) if special_function_elide_names(n.name): for arg in args: arg.pos_only = True arg_kinds = [arg.kind for arg in args] arg_names = [None if arg.pos_only else arg.variable.name for arg in args] # Type parameters, if using new syntax for generics (PEP 695) explicit_type_params: list[TypeParam] | None = None arg_types: list[Type | None] = [] if no_type_check: arg_types = [None] * len(args) return_type = None elif n.type_comment is not None: try: func_type_ast = ast3_parse(n.type_comment, "", "func_type") assert isinstance(func_type_ast, FunctionType) # for ellipsis arg if ( len(func_type_ast.argtypes) == 1 and isinstance(func_type_ast.argtypes[0], ast3.Constant) and func_type_ast.argtypes[0].value is Ellipsis ): if n.returns: # PEP 484 disallows both type annotations and type comments self.fail( message_registry.DUPLICATE_TYPE_SIGNATURES, lineno, n.col_offset, blocker=False, ) arg_types = [ ( a.type_annotation if a.type_annotation is not None else AnyType(TypeOfAny.unannotated) ) for a in args ] else: # PEP 484 disallows both type annotations and type comments if n.returns or any(a.type_annotation is not None for a in args): self.fail( message_registry.DUPLICATE_TYPE_SIGNATURES, lineno, n.col_offset, blocker=False, ) translated_args: list[Type] = TypeConverter( self.errors, line=lineno, override_column=n.col_offset ).translate_expr_list(func_type_ast.argtypes) # Use a cast to work around `list` invariance arg_types = cast(list[Optional[Type]], translated_args) return_type = TypeConverter(self.errors, line=lineno).visit(func_type_ast.returns) # add implicit self type in_method_scope = self.class_and_function_stack[-2:] == ["C", "D"] if in_method_scope and len(arg_types) < len(args): arg_types.insert(0, AnyType(TypeOfAny.special_form)) except SyntaxError: stripped_type = n.type_comment.split("#", 2)[0].strip() err_msg = message_registry.TYPE_COMMENT_SYNTAX_ERROR_VALUE.format(stripped_type) self.fail(err_msg, lineno, n.col_offset, blocker=False) if n.type_comment and n.type_comment[0] not in ["(", "#"]: self.note( "Suggestion: wrap argument types in parentheses", lineno, n.col_offset ) arg_types = [AnyType(TypeOfAny.from_error)] * len(args) return_type = AnyType(TypeOfAny.from_error) else: if sys.version_info >= (3, 12) and n.type_params: explicit_type_params = self.translate_type_params(n.type_params) arg_types = [a.type_annotation for a in args] return_type = TypeConverter( self.errors, line=n.returns.lineno if n.returns else lineno ).visit(n.returns) for arg, arg_type in zip(args, arg_types): self.set_type_optional(arg_type, arg.initializer) func_type = None if any(arg_types) or return_type: if len(arg_types) != 1 and any(isinstance(t, EllipsisType) for t in arg_types): self.fail( message_registry.ELLIPSIS_WITH_OTHER_TYPEARGS, lineno, n.col_offset, blocker=False, ) elif len(arg_types) > len(arg_kinds): self.fail( message_registry.TYPE_SIGNATURE_TOO_MANY_ARGS, lineno, n.col_offset, blocker=False, ) elif len(arg_types) < len(arg_kinds): self.fail( message_registry.TYPE_SIGNATURE_TOO_FEW_ARGS, lineno, n.col_offset, blocker=False, ) else: func_type = CallableType( [a if a is not None else AnyType(TypeOfAny.unannotated) for a in arg_types], arg_kinds, arg_names, return_type if return_type is not None else AnyType(TypeOfAny.unannotated), _dummy_fallback, ) # End position is always the same. end_line = getattr(n, "end_lineno", None) end_column = getattr(n, "end_col_offset", None) self.class_and_function_stack.pop() self.class_and_function_stack.append("F") body = self.as_required_block(n.body, can_strip=True, is_coroutine=is_coroutine) func_def = FuncDef(n.name, args, body, func_type, explicit_type_params) if isinstance(func_def.type, CallableType): # semanal.py does some in-place modifications we want to avoid func_def.unanalyzed_type = func_def.type.copy_modified() if is_coroutine: func_def.is_coroutine = True if func_type is not None: func_type.definition = func_def func_type.set_line(lineno) if n.decorator_list: var = Var(func_def.name) var.is_ready = False var.set_line(lineno) func_def.is_decorated = True self.set_line(func_def, n) deco = Decorator(func_def, self.translate_expr_list(n.decorator_list), var) first = n.decorator_list[0] deco.set_line(first.lineno, first.col_offset, end_line, end_column) retval: FuncDef | Decorator = deco else: self.set_line(func_def, n) retval = func_def if self.options.include_docstrings: func_def.docstring = ast3.get_docstring(n, clean=False) self.class_and_function_stack.pop() return retval def set_type_optional(self, type: Type | None, initializer: Expression | None) -> None: if not self.options.implicit_optional: return # Indicate that type should be wrapped in an Optional if arg is initialized to None. optional = isinstance(initializer, NameExpr) and initializer.name == "None" if isinstance(type, UnboundType): type.optional = optional def transform_args( self, args: ast3.arguments, line: int, no_type_check: bool = False ) -> list[Argument]: new_args = [] names: list[ast3.arg] = [] posonlyargs = getattr(args, "posonlyargs", cast(list[ast3.arg], [])) args_args = posonlyargs + args.args args_defaults = args.defaults num_no_defaults = len(args_args) - len(args_defaults) # positional arguments without defaults for i, a in enumerate(args_args[:num_no_defaults]): pos_only = i < len(posonlyargs) new_args.append(self.make_argument(a, None, ARG_POS, no_type_check, pos_only)) names.append(a) # positional arguments with defaults for i, (a, d) in enumerate(zip(args_args[num_no_defaults:], args_defaults)): pos_only = num_no_defaults + i < len(posonlyargs) new_args.append(self.make_argument(a, d, ARG_OPT, no_type_check, pos_only)) names.append(a) # *arg if args.vararg is not None: new_args.append(self.make_argument(args.vararg, None, ARG_STAR, no_type_check)) names.append(args.vararg) # keyword-only arguments with defaults for a, kd in zip(args.kwonlyargs, args.kw_defaults): new_args.append( self.make_argument( a, kd, ARG_NAMED if kd is None else ARG_NAMED_OPT, no_type_check ) ) names.append(a) # **kwarg if args.kwarg is not None: new_args.append(self.make_argument(args.kwarg, None, ARG_STAR2, no_type_check)) names.append(args.kwarg) check_arg_names([arg.variable.name for arg in new_args], names, self.fail_arg) return new_args def make_argument( self, arg: ast3.arg, default: ast3.expr | None, kind: ArgKind, no_type_check: bool, pos_only: bool = False, ) -> Argument: if no_type_check: arg_type = None else: annotation = arg.annotation type_comment = arg.type_comment if annotation is not None and type_comment is not None: self.fail( message_registry.DUPLICATE_TYPE_SIGNATURES, arg.lineno, arg.col_offset, blocker=False, ) arg_type = None if annotation is not None: arg_type = TypeConverter(self.errors, line=arg.lineno).visit(annotation) else: arg_type = self.translate_type_comment(arg, type_comment) if argument_elide_name(arg.arg): pos_only = True var = Var(arg.arg, arg_type) var.is_inferred = False argument = Argument(var, arg_type, self.visit(default), kind, pos_only) argument.set_line( arg.lineno, arg.col_offset, getattr(arg, "end_lineno", None), getattr(arg, "end_col_offset", None), ) return argument def fail_arg(self, msg: str, arg: ast3.arg) -> None: self.fail(ErrorMessage(msg), arg.lineno, arg.col_offset, blocker=True) # ClassDef(identifier name, # expr* bases, # keyword* keywords, # stmt* body, # expr* decorator_list) def visit_ClassDef(self, n: ast3.ClassDef) -> ClassDef: self.class_and_function_stack.append("C") keywords = [(kw.arg, self.visit(kw.value)) for kw in n.keywords if kw.arg] # Type parameters, if using new syntax for generics (PEP 695) explicit_type_params: list[TypeParam] | None = None if sys.version_info >= (3, 12) and n.type_params: explicit_type_params = self.translate_type_params(n.type_params) cdef = ClassDef( n.name, self.as_required_block(n.body), None, self.translate_expr_list(n.bases), metaclass=dict(keywords).get("metaclass"), keywords=keywords, type_args=explicit_type_params, ) cdef.decorators = self.translate_expr_list(n.decorator_list) self.set_line(cdef, n) if self.options.include_docstrings: cdef.docstring = ast3.get_docstring(n, clean=False) cdef.column = n.col_offset cdef.end_line = getattr(n, "end_lineno", None) cdef.end_column = getattr(n, "end_col_offset", None) self.class_and_function_stack.pop() return cdef def validate_type_param(self, type_param: ast_TypeVar) -> None: incorrect_expr = find_disallowed_expression_in_annotation_scope(type_param.bound) if incorrect_expr is None: return if isinstance(incorrect_expr, (ast3.Yield, ast3.YieldFrom)): self.fail( message_registry.TYPE_VAR_YIELD_EXPRESSION_IN_BOUND, type_param.lineno, type_param.col_offset, blocker=True, ) if isinstance(incorrect_expr, ast3.NamedExpr): self.fail( message_registry.TYPE_VAR_NAMED_EXPRESSION_IN_BOUND, type_param.lineno, type_param.col_offset, blocker=True, ) if isinstance(incorrect_expr, ast3.Await): self.fail( message_registry.TYPE_VAR_AWAIT_EXPRESSION_IN_BOUND, type_param.lineno, type_param.col_offset, blocker=True, ) def translate_type_params(self, type_params: list[Any]) -> list[TypeParam]: explicit_type_params = [] for p in type_params: bound: Type | None = None values: list[Type] = [] default: Type | None = None if sys.version_info >= (3, 13): default = TypeConverter(self.errors, line=p.lineno).visit(p.default_value) if isinstance(p, ast_ParamSpec): # type: ignore[misc] explicit_type_params.append(TypeParam(p.name, PARAM_SPEC_KIND, None, [], default)) elif isinstance(p, ast_TypeVarTuple): # type: ignore[misc] explicit_type_params.append( TypeParam(p.name, TYPE_VAR_TUPLE_KIND, None, [], default) ) else: if isinstance(p.bound, ast3.Tuple): if len(p.bound.elts) < 2: self.fail( message_registry.TYPE_VAR_TOO_FEW_CONSTRAINED_TYPES, p.lineno, p.col_offset, blocker=False, ) else: conv = TypeConverter(self.errors, line=p.lineno) values = [conv.visit(t) for t in p.bound.elts] elif p.bound is not None: self.validate_type_param(p) bound = TypeConverter(self.errors, line=p.lineno).visit(p.bound) explicit_type_params.append( TypeParam(p.name, TYPE_VAR_KIND, bound, values, default) ) return explicit_type_params # Return(expr? value) def visit_Return(self, n: ast3.Return) -> ReturnStmt: node = ReturnStmt(self.visit(n.value)) return self.set_line(node, n) # Delete(expr* targets) def visit_Delete(self, n: ast3.Delete) -> DelStmt: if len(n.targets) > 1: tup = TupleExpr(self.translate_expr_list(n.targets)) tup.set_line(n.lineno) node = DelStmt(tup) else: node = DelStmt(self.visit(n.targets[0])) return self.set_line(node, n) # Assign(expr* targets, expr? value, string? type_comment, expr? annotation) def visit_Assign(self, n: ast3.Assign) -> AssignmentStmt: lvalues = self.translate_expr_list(n.targets) rvalue = self.visit(n.value) typ = self.translate_type_comment(n, n.type_comment) s = AssignmentStmt(lvalues, rvalue, type=typ, new_syntax=False) return self.set_line(s, n) # AnnAssign(expr target, expr annotation, expr? value, int simple) def visit_AnnAssign(self, n: ast3.AnnAssign) -> AssignmentStmt: line = n.lineno if n.value is None: # always allow 'x: int' rvalue: Expression = TempNode(AnyType(TypeOfAny.special_form), no_rhs=True) self.set_line(rvalue, n) else: rvalue = self.visit(n.value) typ = TypeConverter(self.errors, line=line).visit(n.annotation) assert typ is not None typ.column = n.annotation.col_offset s = AssignmentStmt([self.visit(n.target)], rvalue, type=typ, new_syntax=True) return self.set_line(s, n) # AugAssign(expr target, operator op, expr value) def visit_AugAssign(self, n: ast3.AugAssign) -> OperatorAssignmentStmt: s = OperatorAssignmentStmt( self.from_operator(n.op), self.visit(n.target), self.visit(n.value) ) return self.set_line(s, n) # For(expr target, expr iter, stmt* body, stmt* orelse, string? type_comment) def visit_For(self, n: ast3.For) -> ForStmt: target_type = self.translate_type_comment(n, n.type_comment) node = ForStmt( self.visit(n.target), self.visit(n.iter), self.as_required_block(n.body), self.as_block(n.orelse), target_type, ) return self.set_line(node, n) # AsyncFor(expr target, expr iter, stmt* body, stmt* orelse, string? type_comment) def visit_AsyncFor(self, n: ast3.AsyncFor) -> ForStmt: target_type = self.translate_type_comment(n, n.type_comment) node = ForStmt( self.visit(n.target), self.visit(n.iter), self.as_required_block(n.body), self.as_block(n.orelse), target_type, ) node.is_async = True return self.set_line(node, n) # While(expr test, stmt* body, stmt* orelse) def visit_While(self, n: ast3.While) -> WhileStmt: node = WhileStmt( self.visit(n.test), self.as_required_block(n.body), self.as_block(n.orelse) ) return self.set_line(node, n) # If(expr test, stmt* body, stmt* orelse) def visit_If(self, n: ast3.If) -> IfStmt: node = IfStmt( [self.visit(n.test)], [self.as_required_block(n.body)], self.as_block(n.orelse) ) return self.set_line(node, n) # With(withitem* items, stmt* body, string? type_comment) def visit_With(self, n: ast3.With) -> WithStmt: target_type = self.translate_type_comment(n, n.type_comment) node = WithStmt( [self.visit(i.context_expr) for i in n.items], [self.visit(i.optional_vars) for i in n.items], self.as_required_block(n.body), target_type, ) return self.set_line(node, n) # AsyncWith(withitem* items, stmt* body, string? type_comment) def visit_AsyncWith(self, n: ast3.AsyncWith) -> WithStmt: target_type = self.translate_type_comment(n, n.type_comment) s = WithStmt( [self.visit(i.context_expr) for i in n.items], [self.visit(i.optional_vars) for i in n.items], self.as_required_block(n.body), target_type, ) s.is_async = True return self.set_line(s, n) # Raise(expr? exc, expr? cause) def visit_Raise(self, n: ast3.Raise) -> RaiseStmt: node = RaiseStmt(self.visit(n.exc), self.visit(n.cause)) return self.set_line(node, n) # Try(stmt* body, excepthandler* handlers, stmt* orelse, stmt* finalbody) def visit_Try(self, n: ast3.Try) -> TryStmt: vs = [ self.set_line(NameExpr(h.name), h) if h.name is not None else None for h in n.handlers ] types = [self.visit(h.type) for h in n.handlers] handlers = [self.as_required_block(h.body) for h in n.handlers] node = TryStmt( self.as_required_block(n.body), vs, types, handlers, self.as_block(n.orelse), self.as_block(n.finalbody), ) return self.set_line(node, n) def visit_TryStar(self, n: TryStar) -> TryStmt: vs = [ self.set_line(NameExpr(h.name), h) if h.name is not None else None for h in n.handlers ] types = [self.visit(h.type) for h in n.handlers] handlers = [self.as_required_block(h.body) for h in n.handlers] node = TryStmt( self.as_required_block(n.body), vs, types, handlers, self.as_block(n.orelse), self.as_block(n.finalbody), ) node.is_star = True return self.set_line(node, n) # Assert(expr test, expr? msg) def visit_Assert(self, n: ast3.Assert) -> AssertStmt: node = AssertStmt(self.visit(n.test), self.visit(n.msg)) return self.set_line(node, n) # Import(alias* names) def visit_Import(self, n: ast3.Import) -> Import: names: list[tuple[str, str | None]] = [] for alias in n.names: name = self.translate_module_id(alias.name) asname = alias.asname if asname is None and name != alias.name: # if the module name has been translated (and it's not already # an explicit import-as), make it an implicit import-as the # original name asname = alias.name names.append((name, asname)) i = Import(names) self.imports.append(i) return self.set_line(i, n) # ImportFrom(identifier? module, alias* names, int? level) def visit_ImportFrom(self, n: ast3.ImportFrom) -> ImportBase: assert n.level is not None if len(n.names) == 1 and n.names[0].name == "*": mod = n.module if n.module is not None else "" i: ImportBase = ImportAll(mod, n.level) else: i = ImportFrom( self.translate_module_id(n.module) if n.module is not None else "", n.level, [(a.name, a.asname) for a in n.names], ) self.imports.append(i) return self.set_line(i, n) # Global(identifier* names) def visit_Global(self, n: ast3.Global) -> GlobalDecl: g = GlobalDecl(n.names) return self.set_line(g, n) # Nonlocal(identifier* names) def visit_Nonlocal(self, n: ast3.Nonlocal) -> NonlocalDecl: d = NonlocalDecl(n.names) return self.set_line(d, n) # Expr(expr value) def visit_Expr(self, n: ast3.Expr) -> ExpressionStmt: value = self.visit(n.value) node = ExpressionStmt(value) return self.set_line(node, n) # Pass def visit_Pass(self, n: ast3.Pass) -> PassStmt: s = PassStmt() return self.set_line(s, n) # Break def visit_Break(self, n: ast3.Break) -> BreakStmt: s = BreakStmt() return self.set_line(s, n) # Continue def visit_Continue(self, n: ast3.Continue) -> ContinueStmt: s = ContinueStmt() return self.set_line(s, n) # --- expr --- def visit_NamedExpr(self, n: ast3.NamedExpr) -> AssignmentExpr: s = AssignmentExpr(self.visit(n.target), self.visit(n.value)) return self.set_line(s, n) # BoolOp(boolop op, expr* values) def visit_BoolOp(self, n: ast3.BoolOp) -> OpExpr: # mypy translates (1 and 2 and 3) as (1 and (2 and 3)) assert len(n.values) >= 2 op_node = n.op if isinstance(op_node, ast3.And): op = "and" elif isinstance(op_node, ast3.Or): op = "or" else: raise RuntimeError("unknown BoolOp " + str(type(n))) # potentially inefficient! return self.group(op, self.translate_expr_list(n.values), n) def group(self, op: str, vals: list[Expression], n: ast3.expr) -> OpExpr: if len(vals) == 2: e = OpExpr(op, vals[0], vals[1]) else: e = OpExpr(op, vals[0], self.group(op, vals[1:], n)) return self.set_line(e, n) # BinOp(expr left, operator op, expr right) def visit_BinOp(self, n: ast3.BinOp) -> OpExpr: op = self.from_operator(n.op) if op is None: raise RuntimeError("cannot translate BinOp " + str(type(n.op))) e = OpExpr(op, self.visit(n.left), self.visit(n.right)) return self.set_line(e, n) # UnaryOp(unaryop op, expr operand) def visit_UnaryOp(self, n: ast3.UnaryOp) -> UnaryExpr: op = None if isinstance(n.op, ast3.Invert): op = "~" elif isinstance(n.op, ast3.Not): op = "not" elif isinstance(n.op, ast3.UAdd): op = "+" elif isinstance(n.op, ast3.USub): op = "-" if op is None: raise RuntimeError("cannot translate UnaryOp " + str(type(n.op))) e = UnaryExpr(op, self.visit(n.operand)) return self.set_line(e, n) # Lambda(arguments args, expr body) def visit_Lambda(self, n: ast3.Lambda) -> LambdaExpr: body = ast3.Return(n.body) body.lineno = n.body.lineno body.col_offset = n.body.col_offset self.class_and_function_stack.append("L") e = LambdaExpr(self.transform_args(n.args, n.lineno), self.as_required_block([body])) self.class_and_function_stack.pop() e.set_line(n.lineno, n.col_offset) # Overrides set_line -- can't use self.set_line return e # IfExp(expr test, expr body, expr orelse) def visit_IfExp(self, n: ast3.IfExp) -> ConditionalExpr: e = ConditionalExpr(self.visit(n.test), self.visit(n.body), self.visit(n.orelse)) return self.set_line(e, n) # Dict(expr* keys, expr* values) def visit_Dict(self, n: ast3.Dict) -> DictExpr: e = DictExpr( list(zip(self.translate_opt_expr_list(n.keys), self.translate_expr_list(n.values))) ) return self.set_line(e, n) # Set(expr* elts) def visit_Set(self, n: ast3.Set) -> SetExpr: e = SetExpr(self.translate_expr_list(n.elts)) return self.set_line(e, n) # ListComp(expr elt, comprehension* generators) def visit_ListComp(self, n: ast3.ListComp) -> ListComprehension: e = ListComprehension(self.visit_GeneratorExp(cast(ast3.GeneratorExp, n))) return self.set_line(e, n) # SetComp(expr elt, comprehension* generators) def visit_SetComp(self, n: ast3.SetComp) -> SetComprehension: e = SetComprehension(self.visit_GeneratorExp(cast(ast3.GeneratorExp, n))) return self.set_line(e, n) # DictComp(expr key, expr value, comprehension* generators) def visit_DictComp(self, n: ast3.DictComp) -> DictionaryComprehension: targets = [self.visit(c.target) for c in n.generators] iters = [self.visit(c.iter) for c in n.generators] ifs_list = [self.translate_expr_list(c.ifs) for c in n.generators] is_async = [bool(c.is_async) for c in n.generators] e = DictionaryComprehension( self.visit(n.key), self.visit(n.value), targets, iters, ifs_list, is_async ) return self.set_line(e, n) # GeneratorExp(expr elt, comprehension* generators) def visit_GeneratorExp(self, n: ast3.GeneratorExp) -> GeneratorExpr: targets = [self.visit(c.target) for c in n.generators] iters = [self.visit(c.iter) for c in n.generators] ifs_list = [self.translate_expr_list(c.ifs) for c in n.generators] is_async = [bool(c.is_async) for c in n.generators] e = GeneratorExpr(self.visit(n.elt), targets, iters, ifs_list, is_async) return self.set_line(e, n) # Await(expr value) def visit_Await(self, n: ast3.Await) -> AwaitExpr: v = self.visit(n.value) e = AwaitExpr(v) return self.set_line(e, n) # Yield(expr? value) def visit_Yield(self, n: ast3.Yield) -> YieldExpr: e = YieldExpr(self.visit(n.value)) return self.set_line(e, n) # YieldFrom(expr value) def visit_YieldFrom(self, n: ast3.YieldFrom) -> YieldFromExpr: e = YieldFromExpr(self.visit(n.value)) return self.set_line(e, n) # Compare(expr left, cmpop* ops, expr* comparators) def visit_Compare(self, n: ast3.Compare) -> ComparisonExpr: operators = [self.from_comp_operator(o) for o in n.ops] operands = self.translate_expr_list([n.left] + n.comparators) e = ComparisonExpr(operators, operands) return self.set_line(e, n) # Call(expr func, expr* args, keyword* keywords) # keyword = (identifier? arg, expr value) def visit_Call(self, n: Call) -> CallExpr: args = n.args keywords = n.keywords keyword_names = [k.arg for k in keywords] arg_types = self.translate_expr_list( [a.value if isinstance(a, Starred) else a for a in args] + [k.value for k in keywords] ) arg_kinds = [ARG_STAR if type(a) is Starred else ARG_POS for a in args] + [ ARG_STAR2 if arg is None else ARG_NAMED for arg in keyword_names ] e = CallExpr( self.visit(n.func), arg_types, arg_kinds, cast("list[Optional[str]]", [None] * len(args)) + keyword_names, ) return self.set_line(e, n) # Constant(object value) def visit_Constant(self, n: ast3.Constant) -> Any: val = n.value e: Any = None if val is None: e = NameExpr("None") elif isinstance(val, str): e = StrExpr(val) elif isinstance(val, bytes): e = BytesExpr(bytes_to_human_readable_repr(val)) elif isinstance(val, bool): # Must check before int! e = NameExpr(str(val)) elif isinstance(val, int): e = IntExpr(val) elif isinstance(val, float): e = FloatExpr(val) elif isinstance(val, complex): e = ComplexExpr(val) elif val is Ellipsis: e = EllipsisExpr() else: raise RuntimeError("Constant not implemented for " + str(type(val))) return self.set_line(e, n) # JoinedStr(expr* values) def visit_JoinedStr(self, n: ast3.JoinedStr) -> Expression: # Each of n.values is a str or FormattedValue; we just concatenate # them all using ''.join. empty_string = StrExpr("") empty_string.set_line(n.lineno, n.col_offset) strs_to_join = ListExpr(self.translate_expr_list(n.values)) strs_to_join.set_line(empty_string) # Don't make unnecessary join call if there is only one str to join if len(strs_to_join.items) == 1: return self.set_line(strs_to_join.items[0], n) elif len(strs_to_join.items) > 1: last = strs_to_join.items[-1] if isinstance(last, StrExpr) and last.value == "": # 3.12 can add an empty literal at the end. Delete it for consistency # between Python versions. del strs_to_join.items[-1:] join_method = MemberExpr(empty_string, "join") join_method.set_line(empty_string) result_expression = CallExpr(join_method, [strs_to_join], [ARG_POS], [None]) return self.set_line(result_expression, n) # FormattedValue(expr value) def visit_FormattedValue(self, n: ast3.FormattedValue) -> Expression: # A FormattedValue is a component of a JoinedStr, or it can exist # on its own. We translate them to individual '{}'.format(value) # calls. Format specifier and conversion information is passed along # to allow mypyc to support f-strings with format specifiers and conversions. val_exp = self.visit(n.value) val_exp.set_line(n.lineno, n.col_offset) conv_str = "" if n.conversion < 0 else "!" + chr(n.conversion) format_string = StrExpr("{" + conv_str + ":{}}") format_spec_exp = self.visit(n.format_spec) if n.format_spec is not None else StrExpr("") format_string.set_line(n.lineno, n.col_offset) format_method = MemberExpr(format_string, "format") format_method.set_line(format_string) result_expression = CallExpr( format_method, [val_exp, format_spec_exp], [ARG_POS, ARG_POS], [None, None] ) return self.set_line(result_expression, n) # TemplateStr(expr* values) def visit_TemplateStr(self, n: ast_TemplateStr) -> Expression: self.fail( ErrorMessage("PEP 750 template strings are not yet supported"), n.lineno, n.col_offset, blocker=False, ) e = TempNode(AnyType(TypeOfAny.from_error)) return self.set_line(e, n) # Interpolation(expr value, constant str, int conversion, expr? format_spec) def visit_Interpolation(self, n: ast_Interpolation) -> Expression: assert False, "Unreachable" # Attribute(expr value, identifier attr, expr_context ctx) def visit_Attribute(self, n: Attribute) -> MemberExpr | SuperExpr: value = n.value member_expr = MemberExpr(self.visit(value), n.attr) obj = member_expr.expr if ( isinstance(obj, CallExpr) and isinstance(obj.callee, NameExpr) and obj.callee.name == "super" ): e: MemberExpr | SuperExpr = SuperExpr(member_expr.name, obj) else: e = member_expr return self.set_line(e, n) # Subscript(expr value, slice slice, expr_context ctx) def visit_Subscript(self, n: ast3.Subscript) -> IndexExpr: e = IndexExpr(self.visit(n.value), self.visit(n.slice)) return self.set_line(e, n) # Starred(expr value, expr_context ctx) def visit_Starred(self, n: Starred) -> StarExpr: e = StarExpr(self.visit(n.value)) return self.set_line(e, n) # Name(identifier id, expr_context ctx) def visit_Name(self, n: Name) -> NameExpr: e = NameExpr(n.id) return self.set_line(e, n) # List(expr* elts, expr_context ctx) def visit_List(self, n: ast3.List) -> ListExpr | TupleExpr: expr_list: list[Expression] = [self.visit(e) for e in n.elts] if isinstance(n.ctx, ast3.Store): # [x, y] = z and (x, y) = z means exactly the same thing e: ListExpr | TupleExpr = TupleExpr(expr_list) else: e = ListExpr(expr_list) return self.set_line(e, n) # Tuple(expr* elts, expr_context ctx) def visit_Tuple(self, n: ast3.Tuple) -> TupleExpr: e = TupleExpr(self.translate_expr_list(n.elts)) return self.set_line(e, n) # Slice(expr? lower, expr? upper, expr? step) def visit_Slice(self, n: ast3.Slice) -> SliceExpr: e = SliceExpr(self.visit(n.lower), self.visit(n.upper), self.visit(n.step)) return self.set_line(e, n) # Match(expr subject, match_case* cases) # python 3.10 and later def visit_Match(self, n: Match) -> MatchStmt: node = MatchStmt( self.visit(n.subject), [self.visit(c.pattern) for c in n.cases], [self.visit(c.guard) for c in n.cases], [self.as_required_block(c.body) for c in n.cases], ) return self.set_line(node, n) def visit_MatchValue(self, n: MatchValue) -> ValuePattern: node = ValuePattern(self.visit(n.value)) return self.set_line(node, n) def visit_MatchSingleton(self, n: MatchSingleton) -> SingletonPattern: node = SingletonPattern(n.value) return self.set_line(node, n) def visit_MatchSequence(self, n: MatchSequence) -> SequencePattern: patterns = [self.visit(p) for p in n.patterns] stars = [p for p in patterns if isinstance(p, StarredPattern)] assert len(stars) < 2 node = SequencePattern(patterns) return self.set_line(node, n) def visit_MatchStar(self, n: MatchStar) -> StarredPattern: if n.name is None: node = StarredPattern(None) else: name = self.set_line(NameExpr(n.name), n) node = StarredPattern(name) return self.set_line(node, n) def visit_MatchMapping(self, n: MatchMapping) -> MappingPattern: keys = [self.visit(k) for k in n.keys] values = [self.visit(v) for v in n.patterns] if n.rest is None: rest = None else: rest = NameExpr(n.rest) node = MappingPattern(keys, values, rest) return self.set_line(node, n) def visit_MatchClass(self, n: MatchClass) -> ClassPattern: class_ref = self.visit(n.cls) assert isinstance(class_ref, RefExpr) positionals = [self.visit(p) for p in n.patterns] keyword_keys = n.kwd_attrs keyword_values = [self.visit(p) for p in n.kwd_patterns] node = ClassPattern(class_ref, positionals, keyword_keys, keyword_values) return self.set_line(node, n) # MatchAs(expr pattern, identifier name) def visit_MatchAs(self, n: MatchAs) -> AsPattern: if n.name is None: name = None else: name = NameExpr(n.name) name = self.set_line(name, n) node = AsPattern(self.visit(n.pattern), name) return self.set_line(node, n) # MatchOr(expr* pattern) def visit_MatchOr(self, n: MatchOr) -> OrPattern: node = OrPattern([self.visit(pattern) for pattern in n.patterns]) return self.set_line(node, n) def validate_type_alias(self, n: ast_TypeAlias) -> None: incorrect_expr = find_disallowed_expression_in_annotation_scope(n.value) if incorrect_expr is None: return if isinstance(incorrect_expr, (ast3.Yield, ast3.YieldFrom)): self.fail( message_registry.TYPE_ALIAS_WITH_YIELD_EXPRESSION, n.lineno, n.col_offset, blocker=True, ) if isinstance(incorrect_expr, ast3.NamedExpr): self.fail( message_registry.TYPE_ALIAS_WITH_NAMED_EXPRESSION, n.lineno, n.col_offset, blocker=True, ) if isinstance(incorrect_expr, ast3.Await): self.fail( message_registry.TYPE_ALIAS_WITH_AWAIT_EXPRESSION, n.lineno, n.col_offset, blocker=True, ) # TypeAlias(identifier name, type_param* type_params, expr value) def visit_TypeAlias(self, n: ast_TypeAlias) -> TypeAliasStmt | AssignmentStmt: node: TypeAliasStmt | AssignmentStmt type_params = self.translate_type_params(n.type_params) self.validate_type_alias(n) value = self.visit(n.value) # Since the value is evaluated lazily, wrap the value inside a lambda. # This helps mypyc. ret = ReturnStmt(value) self.set_line(ret, n.value) value_func = LambdaExpr(body=Block([ret])) self.set_line(value_func, n.value) node = TypeAliasStmt(self.visit_Name(n.name), type_params, value_func) return self.set_line(node, n) class TypeConverter: def __init__( self, errors: Errors | None, line: int = -1, override_column: int = -1, is_evaluated: bool = True, ) -> None: self.errors = errors self.line = line self.override_column = override_column self.node_stack: list[AST] = [] self.is_evaluated = is_evaluated def convert_column(self, column: int) -> int: """Apply column override if defined; otherwise return column. Column numbers are sometimes incorrect in the AST and the column override can be used to work around that. """ if self.override_column < 0: return column else: return self.override_column def invalid_type(self, node: AST, note: str | None = None) -> RawExpressionType: """Constructs a type representing some expression that normally forms an invalid type. For example, if we see a type hint that says "3 + 4", we would transform that expression into a RawExpressionType. The semantic analysis layer will report an "Invalid type" error when it encounters this type, along with the given note if one is provided. See RawExpressionType's docstring for more details on how it's used. """ return RawExpressionType( None, "typing.Any", line=self.line, column=getattr(node, "col_offset", -1), note=note ) @overload def visit(self, node: ast3.expr) -> ProperType: ... @overload def visit(self, node: AST | None) -> ProperType | None: ... def visit(self, node: AST | None) -> ProperType | None: """Modified visit -- keep track of the stack of nodes""" if node is None: return None self.node_stack.append(node) try: method = "visit_" + node.__class__.__name__ visitor = getattr(self, method, None) if visitor is not None: typ = visitor(node) assert isinstance(typ, ProperType) return typ else: return self.invalid_type(node) finally: self.node_stack.pop() def parent(self) -> AST | None: """Return the AST node above the one we are processing""" if len(self.node_stack) < 2: return None return self.node_stack[-2] def fail(self, msg: ErrorMessage, line: int, column: int) -> None: if self.errors: self.errors.report(line, column, msg.value, blocker=True, code=msg.code) def note(self, msg: str, line: int, column: int) -> None: if self.errors: self.errors.report(line, column, msg, severity="note", code=codes.SYNTAX) def translate_expr_list(self, l: Sequence[ast3.expr]) -> list[Type]: return [self.visit(e) for e in l] def visit_Call(self, e: Call) -> Type: # Parse the arg constructor f = e.func constructor = stringify_name(f) if not isinstance(self.parent(), ast3.List): note = None if constructor: note = "Suggestion: use {0}[...] instead of {0}(...)".format(constructor) return self.invalid_type(e, note=note) if not constructor: self.fail(message_registry.ARG_CONSTRUCTOR_NAME_EXPECTED, e.lineno, e.col_offset) name: str | None = None default_type = AnyType(TypeOfAny.special_form) typ: Type = default_type for i, arg in enumerate(e.args): if i == 0: converted = self.visit(arg) assert converted is not None typ = converted elif i == 1: name = self._extract_argument_name(arg) else: self.fail(message_registry.ARG_CONSTRUCTOR_TOO_MANY_ARGS, f.lineno, f.col_offset) for k in e.keywords: value = k.value if k.arg == "name": if name is not None: self.fail( message_registry.MULTIPLE_VALUES_FOR_NAME_KWARG.format(constructor), f.lineno, f.col_offset, ) name = self._extract_argument_name(value) elif k.arg == "type": if typ is not default_type: self.fail( message_registry.MULTIPLE_VALUES_FOR_TYPE_KWARG.format(constructor), f.lineno, f.col_offset, ) converted = self.visit(value) assert converted is not None typ = converted else: self.fail( message_registry.ARG_CONSTRUCTOR_UNEXPECTED_ARG.format(k.arg), value.lineno, value.col_offset, ) return CallableArgument(typ, name, constructor, e.lineno, e.col_offset) def translate_argument_list(self, l: Sequence[ast3.expr]) -> TypeList: return TypeList([self.visit(e) for e in l], line=self.line) def _extract_argument_name(self, n: ast3.expr) -> str | None: if isinstance(n, ast3.Constant) and isinstance(n.value, str): return n.value.strip() elif isinstance(n, ast3.Constant) and n.value is None: return None self.fail( message_registry.ARG_NAME_EXPECTED_STRING_LITERAL.format(type(n).__name__), self.line, 0, ) return None def visit_Name(self, n: Name) -> Type: return UnboundType(n.id, line=self.line, column=self.convert_column(n.col_offset)) def visit_BinOp(self, n: ast3.BinOp) -> Type: if not isinstance(n.op, ast3.BitOr): return self.invalid_type(n) left = self.visit(n.left) right = self.visit(n.right) return UnionType( [left, right], line=self.line, column=self.convert_column(n.col_offset), is_evaluated=self.is_evaluated, uses_pep604_syntax=True, ) def visit_Constant(self, n: ast3.Constant) -> Type: val = n.value if val is None: # None is a type. return UnboundType("None", line=self.line) if isinstance(val, str): # Parse forward reference. return parse_type_string(val, "builtins.str", self.line, n.col_offset) if val is Ellipsis: # '...' is valid in some types. return EllipsisType(line=self.line) if isinstance(val, bool): # Special case for True/False. return RawExpressionType(val, "builtins.bool", line=self.line) if isinstance(val, (int, float, complex)): return self.numeric_type(val, n) if isinstance(val, bytes): contents = bytes_to_human_readable_repr(val) return RawExpressionType(contents, "builtins.bytes", self.line, column=n.col_offset) # Everything else is invalid. # UnaryOp(op, operand) def visit_UnaryOp(self, n: UnaryOp) -> Type: # We support specifically Literal[-4], Literal[+4], and nothing else. # For example, Literal[~6] or Literal[not False] is not supported. typ = self.visit(n.operand) if ( isinstance(typ, RawExpressionType) # Use type() because we do not want to allow bools. and type(typ.literal_value) is int ): if isinstance(n.op, USub): typ.literal_value *= -1 return typ if isinstance(n.op, UAdd): return typ return self.invalid_type(n) def numeric_type(self, value: object, n: AST) -> Type: # The node's field has the type complex, but complex isn't *really* # a parent of int and float, and this causes isinstance below # to think that the complex branch is always picked. Avoid # this by throwing away the type. if isinstance(value, int): numeric_value: int | None = value type_name = "builtins.int" else: # Other kinds of numbers (floats, complex) are not valid parameters for # RawExpressionType so we just pass in 'None' for now. We'll report the # appropriate error at a later stage. numeric_value = None type_name = f"builtins.{type(value).__name__}" return RawExpressionType( numeric_value, type_name, line=self.line, column=getattr(n, "col_offset", -1) ) def visit_Slice(self, n: ast3.Slice) -> Type: return self.invalid_type(n, note="did you mean to use ',' instead of ':' ?") # Subscript(expr value, expr slice, expr_context ctx) def visit_Subscript(self, n: ast3.Subscript) -> Type: empty_tuple_index = False if isinstance(n.slice, ast3.Tuple): params = self.translate_expr_list(n.slice.elts) if len(n.slice.elts) == 0: empty_tuple_index = True else: params = [self.visit(n.slice)] value = self.visit(n.value) if isinstance(value, UnboundType) and not value.args: result = UnboundType( value.name, params, line=self.line, column=value.column, empty_tuple_index=empty_tuple_index, ) result.end_column = getattr(n, "end_col_offset", None) result.end_line = getattr(n, "end_lineno", None) return result else: return self.invalid_type(n) def visit_Tuple(self, n: ast3.Tuple) -> Type: return TupleType( self.translate_expr_list(n.elts), _dummy_fallback, implicit=True, line=self.line, column=self.convert_column(n.col_offset), ) def visit_Dict(self, n: ast3.Dict) -> Type: if not n.keys: return self.invalid_type(n) items: dict[str, Type] = {} extra_items_from = [] for item_name, value in zip(n.keys, n.values): if not isinstance(item_name, ast3.Constant) or not isinstance(item_name.value, str): if item_name is None: extra_items_from.append(self.visit(value)) continue return self.invalid_type(n) items[item_name.value] = self.visit(value) result = TypedDictType(items, set(), set(), _dummy_fallback, n.lineno, n.col_offset) result.extra_items_from = extra_items_from return result # Attribute(expr value, identifier attr, expr_context ctx) def visit_Attribute(self, n: Attribute) -> Type: before_dot = self.visit(n.value) if isinstance(before_dot, UnboundType) and not before_dot.args: return UnboundType(f"{before_dot.name}.{n.attr}", line=self.line, column=n.col_offset) else: return self.invalid_type(n) # Used for Callable[[X *Ys, Z], R] etc. def visit_Starred(self, n: ast3.Starred) -> Type: return UnpackType(self.visit(n.value), from_star_syntax=True) # List(expr* elts, expr_context ctx) def visit_List(self, n: ast3.List) -> Type: assert isinstance(n.ctx, ast3.Load) result = self.translate_argument_list(n.elts) return result def stringify_name(n: AST) -> str | None: if isinstance(n, Name): return n.id elif isinstance(n, Attribute): sv = stringify_name(n.value) if sv is not None: return f"{sv}.{n.attr}" return None # Can't do it. class FindAttributeAssign(TraverserVisitor): """Check if an AST contains attribute assignments (e.g. self.x = 0).""" def __init__(self) -> None: self.lvalue = False self.found = False def visit_assignment_stmt(self, s: AssignmentStmt) -> None: self.lvalue = True for lv in s.lvalues: lv.accept(self) self.lvalue = False def visit_with_stmt(self, s: WithStmt) -> None: self.lvalue = True for lv in s.target: if lv is not None: lv.accept(self) self.lvalue = False s.body.accept(self) def visit_for_stmt(self, s: ForStmt) -> None: self.lvalue = True s.index.accept(self) self.lvalue = False s.body.accept(self) if s.else_body: s.else_body.accept(self) def visit_expression_stmt(self, s: ExpressionStmt) -> None: # No need to look inside these pass def visit_call_expr(self, e: CallExpr) -> None: # No need to look inside these pass def visit_index_expr(self, e: IndexExpr) -> None: # No need to look inside these pass def visit_member_expr(self, e: MemberExpr) -> None: if self.lvalue and isinstance(e.expr, NameExpr): self.found = True class FindYield(TraverserVisitor): """Check if an AST contains yields or yield froms.""" # codespell:ignore froms def __init__(self) -> None: self.found = False def visit_yield_expr(self, e: YieldExpr) -> None: self.found = True def visit_yield_from_expr(self, e: YieldFromExpr) -> None: self.found = True def is_possible_trivial_body(s: list[Statement]) -> bool: """Could the statements form a "trivial" function body, such as 'pass'? This mimics mypy.semanal.is_trivial_body, but this runs before semantic analysis so some checks must be conservative. """ l = len(s) if l == 0: return False i = 0 if isinstance(s[0], ExpressionStmt) and isinstance(s[0].expr, StrExpr): # Skip docstring i += 1 if i == l: return True if l > i + 1: return False stmt = s[i] return isinstance(stmt, (PassStmt, RaiseStmt)) or ( isinstance(stmt, ExpressionStmt) and isinstance(stmt.expr, EllipsisExpr) ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/find_sources.py0000644000175100017510000002263615112307767016323 0ustar00runnerrunner"""Routines for finding the sources that mypy will check""" from __future__ import annotations import functools import os from collections.abc import Sequence from typing import Final from mypy.fscache import FileSystemCache from mypy.modulefinder import ( PYTHON_EXTENSIONS, BuildSource, matches_exclude, matches_gitignore, mypy_path, ) from mypy.options import Options PY_EXTENSIONS: Final = tuple(PYTHON_EXTENSIONS) class InvalidSourceList(Exception): """Exception indicating a problem in the list of sources given to mypy.""" def create_source_list( paths: Sequence[str], options: Options, fscache: FileSystemCache | None = None, allow_empty_dir: bool = False, ) -> list[BuildSource]: """From a list of source files/directories, makes a list of BuildSources. Raises InvalidSourceList on errors. """ fscache = fscache or FileSystemCache() finder = SourceFinder(fscache, options) sources = [] for path in paths: path = os.path.normpath(path) if path.endswith(PY_EXTENSIONS): # Can raise InvalidSourceList if a directory doesn't have a valid module name. name, base_dir = finder.crawl_up(path) sources.append(BuildSource(path, name, None, base_dir)) elif fscache.isdir(path): sub_sources = finder.find_sources_in_dir(path) if not sub_sources and not allow_empty_dir: raise InvalidSourceList(f"There are no .py[i] files in directory '{path}'") sources.extend(sub_sources) else: mod = os.path.basename(path) if options.scripts_are_modules else None sources.append(BuildSource(path, mod, None)) return sources def keyfunc(name: str) -> tuple[bool, int, str]: """Determines sort order for directory listing. The desirable properties are: 1) foo < foo.pyi < foo.py 2) __init__.py[i] < foo """ base, suffix = os.path.splitext(name) for i, ext in enumerate(PY_EXTENSIONS): if suffix == ext: return (base != "__init__", i, base) return (base != "__init__", -1, name) def normalise_package_base(root: str) -> str: if not root: root = os.curdir root = os.path.abspath(root) if root.endswith(os.sep): root = root[:-1] return root def get_explicit_package_bases(options: Options) -> list[str] | None: """Returns explicit package bases to use if the option is enabled, or None if disabled. We currently use MYPYPATH and the current directory as the package bases. In the future, when --namespace-packages is the default could also use the values passed with the --package-root flag, see #9632. Values returned are normalised so we can use simple string comparisons in SourceFinder.is_explicit_package_base """ if not options.explicit_package_bases: return None roots = mypy_path() + options.mypy_path + [os.getcwd()] return [normalise_package_base(root) for root in roots] class SourceFinder: def __init__(self, fscache: FileSystemCache, options: Options) -> None: self.fscache = fscache self.explicit_package_bases = get_explicit_package_bases(options) self.namespace_packages = options.namespace_packages self.exclude = options.exclude self.exclude_gitignore = options.exclude_gitignore self.verbosity = options.verbosity def is_explicit_package_base(self, path: str) -> bool: assert self.explicit_package_bases return normalise_package_base(path) in self.explicit_package_bases def find_sources_in_dir(self, path: str) -> list[BuildSource]: sources = [] seen: set[str] = set() names = sorted(self.fscache.listdir(path), key=keyfunc) for name in names: # Skip certain names altogether if name in ("__pycache__", "site-packages", "node_modules") or name.startswith("."): continue subpath = os.path.join(path, name) if matches_exclude(subpath, self.exclude, self.fscache, self.verbosity >= 2): continue if self.exclude_gitignore and matches_gitignore( subpath, self.fscache, self.verbosity >= 2 ): continue if self.fscache.isdir(subpath): sub_sources = self.find_sources_in_dir(subpath) if sub_sources: seen.add(name) sources.extend(sub_sources) else: stem, suffix = os.path.splitext(name) if stem not in seen and suffix in PY_EXTENSIONS: seen.add(stem) module, base_dir = self.crawl_up(subpath) sources.append(BuildSource(subpath, module, None, base_dir)) return sources def crawl_up(self, path: str) -> tuple[str, str]: """Given a .py[i] filename, return module and base directory. For example, given "xxx/yyy/foo/bar.py", we might return something like: ("foo.bar", "xxx/yyy") If namespace packages is off, we crawl upwards until we find a directory without an __init__.py If namespace packages is on, we crawl upwards until the nearest explicit base directory. Failing that, we return one past the highest directory containing an __init__.py We won't crawl past directories with invalid package names. The base directory returned is an absolute path. """ path = os.path.abspath(path) parent, filename = os.path.split(path) module_name = strip_py(filename) or filename parent_module, base_dir = self.crawl_up_dir(parent) if module_name == "__init__": return parent_module, base_dir # Note that module_name might not actually be a valid identifier, but that's okay # Ignoring this possibility sidesteps some search path confusion module = module_join(parent_module, module_name) return module, base_dir def crawl_up_dir(self, dir: str) -> tuple[str, str]: return self._crawl_up_helper(dir) or ("", dir) @functools.lru_cache # noqa: B019 def _crawl_up_helper(self, dir: str) -> tuple[str, str] | None: """Given a directory, maybe returns module and base directory. We return a non-None value if we were able to find something clearly intended as a base directory (as adjudicated by being an explicit base directory or by containing a package with __init__.py). This distinction is necessary for namespace packages, so that we know when to treat ourselves as a subpackage. """ # stop crawling if we're an explicit base directory if self.explicit_package_bases is not None and self.is_explicit_package_base(dir): return "", dir parent, name = os.path.split(dir) name = name.removesuffix("-stubs") # PEP-561 stub-only directory # recurse if there's an __init__.py init_file = self.get_init_file(dir) if init_file is not None: if not name.isidentifier(): # in most cases the directory name is invalid, we'll just stop crawling upwards # but if there's an __init__.py in the directory, something is messed up raise InvalidSourceList(f"{name} is not a valid Python package name") # we're definitely a package, so we always return a non-None value mod_prefix, base_dir = self.crawl_up_dir(parent) return module_join(mod_prefix, name), base_dir # stop crawling if we're out of path components or our name is an invalid identifier if not name or not parent or not name.isidentifier(): return None # stop crawling if namespace packages is off (since we don't have an __init__.py) if not self.namespace_packages: return None # at this point: namespace packages is on, we don't have an __init__.py and we're not an # explicit base directory result = self._crawl_up_helper(parent) if result is None: # we're not an explicit base directory and we don't have an __init__.py # and none of our parents are either, so return return None # one of our parents was an explicit base directory or had an __init__.py, so we're # definitely a subpackage! chain our name to the module. mod_prefix, base_dir = result return module_join(mod_prefix, name), base_dir def get_init_file(self, dir: str) -> str | None: """Check whether a directory contains a file named __init__.py[i]. If so, return the file's name (with dir prefixed). If not, return None. This prefers .pyi over .py (because of the ordering of PY_EXTENSIONS). """ for ext in PY_EXTENSIONS: f = os.path.join(dir, "__init__" + ext) if self.fscache.isfile(f): return f if ext == ".py" and self.fscache.init_under_package_root(f): return f return None def module_join(parent: str, child: str) -> str: """Join module ids, accounting for a possibly empty parent.""" if parent: return parent + "." + child return child def strip_py(arg: str) -> str | None: """Strip a trailing .py or .pyi suffix. Return None if no such suffix is found. """ for ext in PY_EXTENSIONS: if arg.endswith(ext): return arg[: -len(ext)] return None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/fixup.py0000644000175100017510000004033015112307767014762 0ustar00runnerrunner"""Fix up various things after deserialization.""" from __future__ import annotations from typing import Any, Final from mypy.lookup import lookup_fully_qualified from mypy.nodes import ( Block, ClassDef, Decorator, FuncDef, MypyFile, OverloadedFuncDef, ParamSpecExpr, SymbolTable, TypeAlias, TypeInfo, TypeVarExpr, TypeVarTupleExpr, Var, ) from mypy.types import ( NOT_READY, AnyType, CallableType, Instance, LiteralType, Overloaded, Parameters, ParamSpecType, ProperType, TupleType, TypeAliasType, TypedDictType, TypeOfAny, TypeType, TypeVarTupleType, TypeVarType, TypeVisitor, UnboundType, UnionType, UnpackType, ) from mypy.visitor import NodeVisitor # N.B: we do a allow_missing fixup when fixing up a fine-grained # incremental cache load (since there may be cross-refs into deleted # modules) def fixup_module(tree: MypyFile, modules: dict[str, MypyFile], allow_missing: bool) -> None: node_fixer = NodeFixer(modules, allow_missing) node_fixer.visit_symbol_table(tree.names, tree.fullname) # TODO: Fix up .info when deserializing, i.e. much earlier. class NodeFixer(NodeVisitor[None]): current_info: TypeInfo | None = None def __init__(self, modules: dict[str, MypyFile], allow_missing: bool) -> None: self.modules = modules self.allow_missing = allow_missing self.type_fixer = TypeFixer(self.modules, allow_missing) # NOTE: This method isn't (yet) part of the NodeVisitor API. def visit_type_info(self, info: TypeInfo) -> None: save_info = self.current_info try: self.current_info = info if info.defn: info.defn.accept(self) if info.names: self.visit_symbol_table(info.names, info.fullname) if info.bases: for base in info.bases: base.accept(self.type_fixer) if info._promote: for p in info._promote: p.accept(self.type_fixer) if info.tuple_type: info.tuple_type.accept(self.type_fixer) info.update_tuple_type(info.tuple_type) if info.special_alias: info.special_alias.alias_tvars = list(info.defn.type_vars) for i, t in enumerate(info.defn.type_vars): if isinstance(t, TypeVarTupleType): info.special_alias.tvar_tuple_index = i if info.typeddict_type: info.typeddict_type.accept(self.type_fixer) info.update_typeddict_type(info.typeddict_type) if info.special_alias: info.special_alias.alias_tvars = list(info.defn.type_vars) for i, t in enumerate(info.defn.type_vars): if isinstance(t, TypeVarTupleType): info.special_alias.tvar_tuple_index = i if info.declared_metaclass: info.declared_metaclass.accept(self.type_fixer) if info.metaclass_type: info.metaclass_type.accept(self.type_fixer) if info.self_type: info.self_type.accept(self.type_fixer) if info.alt_promote: info.alt_promote.accept(self.type_fixer) instance = Instance(info, []) # Hack: We may also need to add a backwards promotion (from int to native int), # since it might not be serialized. if instance not in info.alt_promote.type._promote: info.alt_promote.type._promote.append(instance) if info._mro_refs: info.mro = [ lookup_fully_qualified_typeinfo( self.modules, name, allow_missing=self.allow_missing ) for name in info._mro_refs ] info._mro_refs = None finally: self.current_info = save_info # NOTE: This method *definitely* isn't part of the NodeVisitor API. def visit_symbol_table(self, symtab: SymbolTable, table_fullname: str) -> None: # Copy the items because we may mutate symtab. for key in list(symtab): value = symtab[key] cross_ref = value.cross_ref if cross_ref is not None: # Fix up cross-reference. value.cross_ref = None if cross_ref in self.modules: value.node = self.modules[cross_ref] else: stnode = lookup_fully_qualified( cross_ref, self.modules, raise_on_missing=not self.allow_missing ) if stnode is not None: if stnode is value: # The node seems to refer to itself, which can mean that # the target is a deleted submodule of the current module, # and thus lookup falls back to the symbol table of the parent # package. Here's how this may happen: # # pkg/__init__.py: # from pkg import sub # # Now if pkg.sub is deleted, the pkg.sub symbol table entry # appears to refer to itself. Replace the entry with a # placeholder to avoid a crash. We can't delete the entry, # as it would stop dependency propagation. value.node = Var(key + "@deleted") else: assert stnode.node is not None, (table_fullname + "." + key, cross_ref) value.node = stnode.node elif not self.allow_missing: assert False, f"Could not find cross-ref {cross_ref}" else: # We have a missing crossref in allow missing mode, need to put something value.node = missing_info(self.modules) else: if isinstance(value.node, TypeInfo): # TypeInfo has no accept(). TODO: Add it? self.visit_type_info(value.node) elif value.node is not None: value.node.accept(self) else: assert False, f"Unexpected empty node {key!r}: {value}" def visit_func_def(self, func: FuncDef) -> None: if self.current_info is not None: func.info = self.current_info if func.type is not None: func.type.accept(self.type_fixer) if isinstance(func.type, CallableType): func.type.definition = func def visit_overloaded_func_def(self, o: OverloadedFuncDef) -> None: if self.current_info is not None: o.info = self.current_info if o.type: o.type.accept(self.type_fixer) for item in o.items: item.accept(self) if o.impl: o.impl.accept(self) if isinstance(o.type, Overloaded): # For error messages we link the original definition for each item. for typ, item in zip(o.type.items, o.items): typ.definition = item def visit_decorator(self, d: Decorator) -> None: if self.current_info is not None: d.var.info = self.current_info if d.func: d.func.accept(self) if d.var: d.var.accept(self) for node in d.decorators: node.accept(self) typ = d.var.type if isinstance(typ, ProperType) and isinstance(typ, CallableType): typ.definition = d.func def visit_class_def(self, c: ClassDef) -> None: for v in c.type_vars: v.accept(self.type_fixer) def visit_type_var_expr(self, tv: TypeVarExpr) -> None: for value in tv.values: value.accept(self.type_fixer) tv.upper_bound.accept(self.type_fixer) tv.default.accept(self.type_fixer) def visit_paramspec_expr(self, p: ParamSpecExpr) -> None: p.upper_bound.accept(self.type_fixer) p.default.accept(self.type_fixer) def visit_type_var_tuple_expr(self, tv: TypeVarTupleExpr) -> None: tv.upper_bound.accept(self.type_fixer) tv.tuple_fallback.accept(self.type_fixer) tv.default.accept(self.type_fixer) def visit_var(self, v: Var) -> None: if self.current_info is not None: v.info = self.current_info if v.type is not None: v.type.accept(self.type_fixer) if v.setter_type is not None: v.setter_type.accept(self.type_fixer) def visit_type_alias(self, a: TypeAlias) -> None: a.target.accept(self.type_fixer) for v in a.alias_tvars: v.accept(self.type_fixer) class TypeFixer(TypeVisitor[None]): def __init__(self, modules: dict[str, MypyFile], allow_missing: bool) -> None: self.modules = modules self.allow_missing = allow_missing def visit_instance(self, inst: Instance) -> None: # TODO: Combine Instances that are exactly the same? type_ref = inst.type_ref if type_ref is None: return # We've already been here. inst.type_ref = None inst.type = lookup_fully_qualified_typeinfo( self.modules, type_ref, allow_missing=self.allow_missing ) # TODO: Is this needed or redundant? # Also fix up the bases, just in case. for base in inst.type.bases: if base.type is NOT_READY: base.accept(self) for a in inst.args: a.accept(self) if inst.last_known_value is not None: inst.last_known_value.accept(self) if inst.extra_attrs: for v in inst.extra_attrs.attrs.values(): v.accept(self) def visit_type_alias_type(self, t: TypeAliasType) -> None: type_ref = t.type_ref if type_ref is None: return # We've already been here. t.type_ref = None t.alias = lookup_fully_qualified_alias( self.modules, type_ref, allow_missing=self.allow_missing ) for a in t.args: a.accept(self) def visit_any(self, o: Any) -> None: pass # Nothing to descend into. def visit_callable_type(self, ct: CallableType) -> None: if ct.fallback: ct.fallback.accept(self) for argt in ct.arg_types: # argt may be None, e.g. for __self in NamedTuple constructors. if argt is not None: argt.accept(self) if ct.ret_type is not None: ct.ret_type.accept(self) for v in ct.variables: v.accept(self) if ct.type_guard is not None: ct.type_guard.accept(self) if ct.type_is is not None: ct.type_is.accept(self) def visit_overloaded(self, t: Overloaded) -> None: for ct in t.items: ct.accept(self) def visit_erased_type(self, o: Any) -> None: # This type should exist only temporarily during type inference raise RuntimeError("Shouldn't get here", o) def visit_deleted_type(self, o: Any) -> None: pass # Nothing to descend into. def visit_none_type(self, o: Any) -> None: pass # Nothing to descend into. def visit_uninhabited_type(self, o: Any) -> None: pass # Nothing to descend into. def visit_partial_type(self, o: Any) -> None: raise RuntimeError("Shouldn't get here", o) def visit_tuple_type(self, tt: TupleType) -> None: if tt.items: for it in tt.items: it.accept(self) if tt.partial_fallback is not None: tt.partial_fallback.accept(self) def visit_typeddict_type(self, tdt: TypedDictType) -> None: if tdt.items: for it in tdt.items.values(): it.accept(self) if tdt.fallback is not None: if tdt.fallback.type_ref is not None: if ( lookup_fully_qualified( tdt.fallback.type_ref, self.modules, raise_on_missing=not self.allow_missing, ) is None ): # We reject fake TypeInfos for TypedDict fallbacks because # the latter are used in type checking and must be valid. tdt.fallback.type_ref = "typing._TypedDict" tdt.fallback.accept(self) def visit_literal_type(self, lt: LiteralType) -> None: lt.fallback.accept(self) def visit_type_var(self, tvt: TypeVarType) -> None: if tvt.values: for vt in tvt.values: vt.accept(self) tvt.upper_bound.accept(self) tvt.default.accept(self) def visit_param_spec(self, p: ParamSpecType) -> None: p.upper_bound.accept(self) p.default.accept(self) p.prefix.accept(self) def visit_type_var_tuple(self, t: TypeVarTupleType) -> None: t.tuple_fallback.accept(self) t.upper_bound.accept(self) t.default.accept(self) def visit_unpack_type(self, u: UnpackType) -> None: u.type.accept(self) def visit_parameters(self, p: Parameters) -> None: for argt in p.arg_types: if argt is not None: argt.accept(self) for var in p.variables: var.accept(self) def visit_unbound_type(self, o: UnboundType) -> None: for a in o.args: a.accept(self) def visit_union_type(self, ut: UnionType) -> None: if ut.items: for it in ut.items: it.accept(self) def visit_type_type(self, t: TypeType) -> None: t.item.accept(self) def lookup_fully_qualified_typeinfo( modules: dict[str, MypyFile], name: str, *, allow_missing: bool ) -> TypeInfo: stnode = lookup_fully_qualified(name, modules, raise_on_missing=not allow_missing) node = stnode.node if stnode else None if isinstance(node, TypeInfo): return node else: # Looks like a missing TypeInfo during an initial daemon load, put something there assert ( allow_missing ), "Should never get here in normal mode, got {}:{} instead of TypeInfo".format( type(node).__name__, node.fullname if node else "" ) return missing_info(modules) def lookup_fully_qualified_alias( modules: dict[str, MypyFile], name: str, *, allow_missing: bool ) -> TypeAlias: stnode = lookup_fully_qualified(name, modules, raise_on_missing=not allow_missing) node = stnode.node if stnode else None if isinstance(node, TypeAlias): return node elif isinstance(node, TypeInfo): if node.special_alias: # Already fixed up. return node.special_alias if node.tuple_type: alias = TypeAlias.from_tuple_type(node) elif node.typeddict_type: alias = TypeAlias.from_typeddict_type(node) else: assert allow_missing return missing_alias() node.special_alias = alias return alias else: # Looks like a missing TypeAlias during an initial daemon load, put something there assert ( allow_missing ), "Should never get here in normal mode, got {}:{} instead of TypeAlias".format( type(node).__name__, node.fullname if node else "" ) return missing_alias() _SUGGESTION: Final = "" def missing_info(modules: dict[str, MypyFile]) -> TypeInfo: suggestion = _SUGGESTION.format("info") dummy_def = ClassDef(suggestion, Block([])) dummy_def.fullname = suggestion info = TypeInfo(SymbolTable(), dummy_def, "") obj_type = lookup_fully_qualified_typeinfo(modules, "builtins.object", allow_missing=False) info.bases = [Instance(obj_type, [])] info.mro = [info, obj_type] return info def missing_alias() -> TypeAlias: suggestion = _SUGGESTION.format("alias") return TypeAlias(AnyType(TypeOfAny.special_form), suggestion, "", line=-1, column=-1) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/freetree.py0000644000175100017510000000115115112307767015426 0ustar00runnerrunner"""Generic node traverser visitor""" from __future__ import annotations from mypy.nodes import Block, MypyFile from mypy.traverser import TraverserVisitor class TreeFreer(TraverserVisitor): def visit_block(self, block: Block) -> None: super().visit_block(block) block.body.clear() def free_tree(tree: MypyFile) -> None: """Free all the ASTs associated with a module. This needs to be done recursively, since symbol tables contain references to definitions, so those won't be freed but we want their contents to be. """ tree.accept(TreeFreer()) tree.defs.clear() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/fscache.py0000644000175100017510000002553615112307767015236 0ustar00runnerrunner"""Interface for accessing the file system with automatic caching. The idea is to cache the results of any file system state reads during a single transaction. This has two main benefits: * This avoids redundant syscalls, as we won't perform the same OS operations multiple times. * This makes it easier to reason about concurrent FS updates, as different operations targeting the same paths can't report different state during a transaction. Note that this only deals with reading state, not writing. Properties maintained by the API: * The contents of the file are always from the same or later time compared to the reported mtime of the file, even if mtime is queried after reading a file. * Repeating an operation produces the same result as the first one during a transaction. * Call flush() to start a new transaction (flush the caches). The API is a bit limited. It's easy to add new cached operations, however. You should perform all file system reads through the API to actually take advantage of the benefits. """ from __future__ import annotations import os import stat from mypy_extensions import mypyc_attr from mypy.util import hash_digest @mypyc_attr(allow_interpreted_subclasses=True) # for tests class FileSystemCache: def __init__(self) -> None: # The package root is not flushed with the caches. # It is set by set_package_root() below. self.package_root: list[str] = [] self.flush() def set_package_root(self, package_root: list[str]) -> None: self.package_root = package_root def flush(self) -> None: """Start another transaction and empty all caches.""" self.stat_or_none_cache: dict[str, os.stat_result | None] = {} self.listdir_cache: dict[str, list[str]] = {} self.listdir_error_cache: dict[str, OSError] = {} self.isfile_case_cache: dict[str, bool] = {} self.exists_case_cache: dict[str, bool] = {} self.read_cache: dict[str, bytes] = {} self.read_error_cache: dict[str, Exception] = {} self.hash_cache: dict[str, str] = {} self.fake_package_cache: set[str] = set() def stat_or_none(self, path: str) -> os.stat_result | None: if path in self.stat_or_none_cache: return self.stat_or_none_cache[path] st = None try: st = os.stat(path) except OSError: if self.init_under_package_root(path): try: st = self._fake_init(path) except OSError: pass self.stat_or_none_cache[path] = st return st def init_under_package_root(self, path: str) -> bool: """Is this path an __init__.py under a package root? This is used to detect packages that don't contain __init__.py files, which is needed to support Bazel. The function should only be called for non-existing files. It will return True if it refers to a __init__.py file that Bazel would create, so that at runtime Python would think the directory containing it is a package. For this to work you must pass one or more package roots using the --package-root flag. As an exceptional case, any directory that is a package root itself will not be considered to contain a __init__.py file. This is different from the rules Bazel itself applies, but is necessary for mypy to properly distinguish packages from other directories. See https://docs.bazel.build/versions/master/be/python.html, where this behavior is described under legacy_create_init. """ if not self.package_root: return False dirname, basename = os.path.split(path) if basename != "__init__.py": return False if not os.path.basename(dirname).isidentifier(): # Can't put an __init__.py in a place that's not an identifier return False st = self.stat_or_none(dirname) if st is None: return False else: if not stat.S_ISDIR(st.st_mode): return False ok = False # skip if on a different drive current_drive, _ = os.path.splitdrive(os.getcwd()) drive, _ = os.path.splitdrive(path) if drive != current_drive: return False if os.path.isabs(path): path = os.path.relpath(path) path = os.path.normpath(path) for root in self.package_root: if path.startswith(root): if path == root + basename: # A package root itself is never a package. ok = False break else: ok = True return ok def _fake_init(self, path: str) -> os.stat_result: """Prime the cache with a fake __init__.py file. This makes code that looks for path believe an empty file by that name exists. Should only be called after init_under_package_root() returns True. """ dirname, basename = os.path.split(path) assert basename == "__init__.py", path assert not os.path.exists(path), path # Not cached! dirname = os.path.normpath(dirname) st = os.stat(dirname) # May raise OSError # Get stat result as a list so we can modify it. seq: list[float] = list(st) seq[stat.ST_MODE] = stat.S_IFREG | 0o444 seq[stat.ST_INO] = 1 seq[stat.ST_NLINK] = 1 seq[stat.ST_SIZE] = 0 st = os.stat_result(seq) # Make listdir() and read() also pretend this file exists. self.fake_package_cache.add(dirname) return st def listdir(self, path: str) -> list[str]: path = os.path.normpath(path) if path in self.listdir_cache: res = self.listdir_cache[path] # Check the fake cache. if path in self.fake_package_cache and "__init__.py" not in res: res.append("__init__.py") # Updates the result as well as the cache return res if path in self.listdir_error_cache: raise copy_os_error(self.listdir_error_cache[path]) try: results = os.listdir(path) except OSError as err: # Like above, take a copy to reduce memory use. self.listdir_error_cache[path] = copy_os_error(err) raise err self.listdir_cache[path] = results # Check the fake cache. if path in self.fake_package_cache and "__init__.py" not in results: results.append("__init__.py") return results def isfile(self, path: str) -> bool: st = self.stat_or_none(path) if st is None: return False return stat.S_ISREG(st.st_mode) def isfile_case(self, path: str, prefix: str) -> bool: """Return whether path exists and is a file. On case-insensitive filesystems (like Mac or Windows) this returns False if the case of path's last component does not exactly match the case found in the filesystem. We check also the case of other path components up to prefix. For example, if path is 'user-stubs/pack/mod.pyi' and prefix is 'user-stubs', we check that the case of 'pack' and 'mod.py' matches exactly, 'user-stubs' will be case insensitive on case insensitive filesystems. The caller must ensure that prefix is a valid file system prefix of path. """ if not self.isfile(path): # Fast path return False if path in self.isfile_case_cache: return self.isfile_case_cache[path] head, tail = os.path.split(path) if not tail: self.isfile_case_cache[path] = False return False try: names = self.listdir(head) # This allows one to check file name case sensitively in # case-insensitive filesystems. res = tail in names except OSError: res = False if res: # Also recursively check the other path components in case sensitive way. res = self.exists_case(head, prefix) self.isfile_case_cache[path] = res return res def exists_case(self, path: str, prefix: str) -> bool: """Return whether path exists - checking path components in case sensitive fashion, up to prefix. """ if path in self.exists_case_cache: return self.exists_case_cache[path] head, tail = os.path.split(path) if not head.startswith(prefix) or not tail: # Only perform the check for paths under prefix. self.exists_case_cache[path] = True return True try: names = self.listdir(head) # This allows one to check file name case sensitively in # case-insensitive filesystems. res = tail in names except OSError: res = False if res: # Also recursively check other path components. res = self.exists_case(head, prefix) self.exists_case_cache[path] = res return res def isdir(self, path: str) -> bool: st = self.stat_or_none(path) if st is None: return False return stat.S_ISDIR(st.st_mode) def exists(self, path: str) -> bool: st = self.stat_or_none(path) return st is not None def read(self, path: str) -> bytes: if path in self.read_cache: return self.read_cache[path] if path in self.read_error_cache: raise self.read_error_cache[path] # Need to stat first so that the contents of file are from no # earlier instant than the mtime reported by self.stat(). self.stat_or_none(path) dirname, basename = os.path.split(path) dirname = os.path.normpath(dirname) # Check the fake cache. if basename == "__init__.py" and dirname in self.fake_package_cache: data = b"" else: try: with open(path, "rb") as f: data = f.read() except OSError as err: self.read_error_cache[path] = err raise self.read_cache[path] = data self.hash_cache[path] = hash_digest(data) return data def hash_digest(self, path: str) -> str: if path not in self.hash_cache: self.read(path) return self.hash_cache[path] def samefile(self, f1: str, f2: str) -> bool: s1 = self.stat_or_none(f1) s2 = self.stat_or_none(f2) if s1 is None or s2 is None: return False return os.path.samestat(s1, s2) def copy_os_error(e: OSError) -> OSError: new = OSError(*e.args) new.errno = e.errno new.strerror = e.strerror new.filename = e.filename if e.filename2: new.filename2 = e.filename2 return new ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/fswatcher.py0000644000175100017510000000762115112307767015623 0ustar00runnerrunner"""Watch parts of the file system for changes.""" from __future__ import annotations import os from collections.abc import Iterable, Set as AbstractSet from typing import NamedTuple from mypy.fscache import FileSystemCache class FileData(NamedTuple): st_mtime: float st_size: int hash: str class FileSystemWatcher: """Watcher for file system changes among specific paths. All file system access is performed using FileSystemCache. We detect changed files by stat()ing them all and comparing hashes of potentially changed files. If a file has both size and mtime unmodified, the file is assumed to be unchanged. An important goal of this class is to make it easier to eventually use file system events to detect file changes. Note: This class doesn't flush the file system cache. If you don't manually flush it, changes won't be seen. """ # TODO: Watching directories? # TODO: Handle non-files def __init__(self, fs: FileSystemCache) -> None: self.fs = fs self._paths: set[str] = set() self._file_data: dict[str, FileData | None] = {} def dump_file_data(self) -> dict[str, tuple[float, int, str]]: return {k: v for k, v in self._file_data.items() if v is not None} def set_file_data(self, path: str, data: FileData) -> None: self._file_data[path] = data def add_watched_paths(self, paths: Iterable[str]) -> None: for path in paths: if path not in self._paths: # By storing None this path will get reported as changed by # find_changed if it exists. self._file_data[path] = None self._paths |= set(paths) def remove_watched_paths(self, paths: Iterable[str]) -> None: for path in paths: if path in self._file_data: del self._file_data[path] self._paths -= set(paths) def _update(self, path: str, st: os.stat_result) -> None: hash_digest = self.fs.hash_digest(path) self._file_data[path] = FileData(st.st_mtime, st.st_size, hash_digest) def _find_changed(self, paths: Iterable[str]) -> AbstractSet[str]: changed = set() for path in paths: old = self._file_data[path] st = self.fs.stat_or_none(path) if st is None: if old is not None: # File was deleted. changed.add(path) self._file_data[path] = None else: if old is None: # File is new. changed.add(path) self._update(path, st) # Round mtimes down, to match the mtimes we write to meta files elif st.st_size != old.st_size or int(st.st_mtime) != int(old.st_mtime): # Only look for changes if size or mtime has changed as an # optimization, since calculating hash is expensive. new_hash = self.fs.hash_digest(path) self._update(path, st) if st.st_size != old.st_size or new_hash != old.hash: # Changed file. changed.add(path) return changed def find_changed(self) -> AbstractSet[str]: """Return paths that have changes since the last call, in the watched set.""" return self._find_changed(self._paths) def update_changed(self, remove: list[str], update: list[str]) -> AbstractSet[str]: """Alternative to find_changed() given explicit changes. This only calls self.fs.stat() on added or updated files, not on all files. It believes all other files are unchanged! Implies add_watched_paths() for add and update, and remove_watched_paths() for remove. """ self.remove_watched_paths(remove) self.add_watched_paths(update) return self._find_changed(update) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/gclogger.py0000644000175100017510000000314715112307767015425 0ustar00runnerrunnerfrom __future__ import annotations import gc import time from collections.abc import Mapping class GcLogger: """Context manager to log GC stats and overall time.""" def __enter__(self) -> GcLogger: self.gc_start_time: float | None = None self.gc_time = 0.0 self.gc_calls = 0 self.gc_collected = 0 self.gc_uncollectable = 0 gc.callbacks.append(self.gc_callback) self.start_time = time.time() return self def gc_callback(self, phase: str, info: Mapping[str, int]) -> None: if phase == "start": assert self.gc_start_time is None, "Start phase out of sequence" self.gc_start_time = time.time() elif phase == "stop": assert self.gc_start_time is not None, "Stop phase out of sequence" self.gc_calls += 1 self.gc_time += time.time() - self.gc_start_time self.gc_start_time = None self.gc_collected += info["collected"] self.gc_uncollectable += info["uncollectable"] else: assert False, f"Unrecognized gc phase ({phase!r})" def __exit__(self, *args: object) -> None: while self.gc_callback in gc.callbacks: gc.callbacks.remove(self.gc_callback) def get_stats(self) -> Mapping[str, float]: end_time = time.time() result = { "gc_time": self.gc_time, "gc_calls": self.gc_calls, "gc_collected": self.gc_collected, "gc_uncollectable": self.gc_uncollectable, "build_time": end_time - self.start_time, } return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/git.py0000644000175100017510000000172415112307767014416 0ustar00runnerrunner"""Git utilities.""" # Used also from setup.py, so don't pull in anything additional here (like mypy or typing): from __future__ import annotations import os import subprocess def is_git_repo(dir: str) -> bool: """Is the given directory version-controlled with git?""" return os.path.exists(os.path.join(dir, ".git")) def have_git() -> bool: """Can we run the git executable?""" try: subprocess.check_output(["git", "--help"]) return True except subprocess.CalledProcessError: return False except OSError: return False def git_revision(dir: str) -> bytes: """Get the SHA-1 of the HEAD of a git repository.""" return subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=dir).strip() def is_dirty(dir: str) -> bool: """Check whether a git repository has uncommitted changes.""" output = subprocess.check_output(["git", "status", "-uno", "--porcelain"], cwd=dir) return output.strip() != b"" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/graph_utils.py0000644000175100017510000000656615112307767016165 0ustar00runnerrunner"""Helpers for manipulations with graphs.""" from __future__ import annotations from collections.abc import Iterable, Iterator, Set as AbstractSet from typing import TypeVar T = TypeVar("T") def strongly_connected_components( vertices: AbstractSet[T], edges: dict[T, list[T]] ) -> Iterator[set[T]]: """Compute Strongly Connected Components of a directed graph. Args: vertices: the labels for the vertices edges: for each vertex, gives the target vertices of its outgoing edges Returns: An iterator yielding strongly connected components, each represented as a set of vertices. Each input vertex will occur exactly once; vertices not part of a SCC are returned as singleton sets. From https://code.activestate.com/recipes/578507/. """ identified: set[T] = set() stack: list[T] = [] index: dict[T, int] = {} boundaries: list[int] = [] def dfs(v: T) -> Iterator[set[T]]: index[v] = len(stack) stack.append(v) boundaries.append(index[v]) for w in edges[v]: if w not in index: yield from dfs(w) elif w not in identified: while index[w] < boundaries[-1]: boundaries.pop() if boundaries[-1] == index[v]: boundaries.pop() scc = set(stack[index[v] :]) del stack[index[v] :] identified.update(scc) yield scc for v in vertices: if v not in index: yield from dfs(v) def prepare_sccs( sccs: list[set[T]], edges: dict[T, list[T]] ) -> dict[AbstractSet[T], set[AbstractSet[T]]]: """Use original edges to organize SCCs in a graph by dependencies between them.""" sccsmap = {} for scc in sccs: scc_frozen = frozenset(scc) for v in scc: sccsmap[v] = scc_frozen data: dict[AbstractSet[T], set[AbstractSet[T]]] = {} for scc in sccs: deps: set[AbstractSet[T]] = set() for v in scc: deps.update(sccsmap[x] for x in edges[v]) data[frozenset(scc)] = deps return data def topsort(data: dict[T, set[T]]) -> Iterable[set[T]]: """Topological sort. Args: data: A map from vertices to all vertices that it has an edge connecting it to. NOTE: This data structure is modified in place -- for normalization purposes, self-dependencies are removed and entries representing orphans are added. Returns: An iterator yielding sets of vertices that have an equivalent ordering. Example: Suppose the input has the following structure: {A: {B, C}, B: {D}, C: {D}} This is normalized to: {A: {B, C}, B: {D}, C: {D}, D: {}} The algorithm will yield the following values: {D} {B, C} {A} From https://code.activestate.com/recipes/577413/. """ # TODO: Use a faster algorithm? for k, v in data.items(): v.discard(k) # Ignore self dependencies. for item in set.union(*data.values()) - set(data.keys()): data[item] = set() while True: ready = {item for item, dep in data.items() if not dep} if not ready: break yield ready data = {item: (dep - ready) for item, dep in data.items() if item not in ready} assert not data, f"A cyclic dependency exists amongst {data!r}" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/indirection.py0000644000175100017510000001360715112307767016145 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterable import mypy.types as types from mypy.types import TypeVisitor class TypeIndirectionVisitor(TypeVisitor[None]): """Returns all module references within a particular type.""" def __init__(self) -> None: # Module references are collected here self.modules: set[str] = set() # User to avoid infinite recursion with recursive types self.seen_types: set[types.TypeAliasType | types.Instance] = set() def find_modules(self, typs: Iterable[types.Type]) -> set[str]: self.modules = set() self.seen_types = set() for typ in typs: self._visit(typ) return self.modules def _visit(self, typ: types.Type) -> None: # Note: instances are needed for `class str(Sequence[str]): ...` if ( isinstance(typ, types.TypeAliasType) or isinstance(typ, types.ProperType) and isinstance(typ, types.Instance) ): # Avoid infinite recursion for recursive types. if typ in self.seen_types: return self.seen_types.add(typ) typ.accept(self) def _visit_type_tuple(self, typs: tuple[types.Type, ...]) -> None: # Micro-optimization: Specialized version of _visit for lists for typ in typs: if ( isinstance(typ, types.TypeAliasType) or isinstance(typ, types.ProperType) and isinstance(typ, types.Instance) ): # Avoid infinite recursion for recursive types. if typ in self.seen_types: continue self.seen_types.add(typ) typ.accept(self) def _visit_type_list(self, typs: list[types.Type]) -> None: # Micro-optimization: Specialized version of _visit for tuples for typ in typs: if ( isinstance(typ, types.TypeAliasType) or isinstance(typ, types.ProperType) and isinstance(typ, types.Instance) ): # Avoid infinite recursion for recursive types. if typ in self.seen_types: continue self.seen_types.add(typ) typ.accept(self) def visit_unbound_type(self, t: types.UnboundType) -> None: self._visit_type_tuple(t.args) def visit_any(self, t: types.AnyType) -> None: pass def visit_none_type(self, t: types.NoneType) -> None: pass def visit_uninhabited_type(self, t: types.UninhabitedType) -> None: pass def visit_erased_type(self, t: types.ErasedType) -> None: pass def visit_deleted_type(self, t: types.DeletedType) -> None: pass def visit_type_var(self, t: types.TypeVarType) -> None: self._visit_type_list(t.values) self._visit(t.upper_bound) self._visit(t.default) def visit_param_spec(self, t: types.ParamSpecType) -> None: self._visit(t.upper_bound) self._visit(t.default) self._visit(t.prefix) def visit_type_var_tuple(self, t: types.TypeVarTupleType) -> None: self._visit(t.upper_bound) self._visit(t.default) def visit_unpack_type(self, t: types.UnpackType) -> None: t.type.accept(self) def visit_parameters(self, t: types.Parameters) -> None: self._visit_type_list(t.arg_types) def visit_instance(self, t: types.Instance) -> None: # Instance is named, record its definition and continue digging into # components that constitute semantic meaning of this type: bases, metaclass, # tuple type, and typeddict type. # Note: we cannot simply record the MRO, in case an intermediate base contains # a reference to type alias, this affects meaning of map_instance_to_supertype(), # see e.g. testDoubleReexportGenericUpdated. self._visit_type_tuple(t.args) if t.type: # Important optimization: instead of simply recording the definition and # recursing into bases, record the MRO and only traverse generic bases. for s in t.type.mro: self.modules.add(s.module_name) for base in s.bases: if base.args: self._visit_type_tuple(base.args) if t.type.metaclass_type: self._visit(t.type.metaclass_type) if t.type.typeddict_type: self._visit(t.type.typeddict_type) if t.type.tuple_type: self._visit(t.type.tuple_type) def visit_callable_type(self, t: types.CallableType) -> None: self._visit_type_list(t.arg_types) self._visit(t.ret_type) self._visit_type_tuple(t.variables) def visit_overloaded(self, t: types.Overloaded) -> None: for item in t.items: self._visit(item) self._visit(t.fallback) def visit_tuple_type(self, t: types.TupleType) -> None: self._visit_type_list(t.items) self._visit(t.partial_fallback) def visit_typeddict_type(self, t: types.TypedDictType) -> None: self._visit_type_list(list(t.items.values())) self._visit(t.fallback) def visit_literal_type(self, t: types.LiteralType) -> None: self._visit(t.fallback) def visit_union_type(self, t: types.UnionType) -> None: self._visit_type_list(t.items) def visit_partial_type(self, t: types.PartialType) -> None: pass def visit_type_type(self, t: types.TypeType) -> None: self._visit(t.item) def visit_type_alias_type(self, t: types.TypeAliasType) -> None: # Type alias is named, record its definition and continue digging into # components that constitute semantic meaning of this type: target and args. if t.alias: self.modules.add(t.alias.module) self._visit(t.alias.target) self._visit_type_list(t.args) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/infer.py0000644000175100017510000000475215112307767014742 0ustar00runnerrunner"""Utilities for type argument inference.""" from __future__ import annotations from collections.abc import Sequence from typing import NamedTuple from mypy.constraints import ( SUBTYPE_OF, SUPERTYPE_OF, infer_constraints, infer_constraints_for_callable, ) from mypy.nodes import ArgKind from mypy.solve import solve_constraints from mypy.types import CallableType, Instance, Type, TypeVarLikeType class ArgumentInferContext(NamedTuple): """Type argument inference context. We need this because we pass around ``Mapping`` and ``Iterable`` types. These types are only known by ``TypeChecker`` itself. It is required for ``*`` and ``**`` argument inference. https://github.com/python/mypy/issues/11144 """ mapping_type: Instance iterable_type: Instance def infer_function_type_arguments( callee_type: CallableType, arg_types: Sequence[Type | None], arg_kinds: list[ArgKind], arg_names: Sequence[str | None] | None, formal_to_actual: list[list[int]], context: ArgumentInferContext, strict: bool = True, allow_polymorphic: bool = False, ) -> tuple[list[Type | None], list[TypeVarLikeType]]: """Infer the type arguments of a generic function. Return an array of lower bound types for the type variables -1 (at index 0), -2 (at index 1), etc. A lower bound is None if a value could not be inferred. Arguments: callee_type: the target generic function arg_types: argument types at the call site (each optional; if None, we are not considering this argument in the current pass) arg_kinds: nodes.ARG_* values for arg_types formal_to_actual: mapping from formal to actual variable indices """ # Infer constraints. constraints = infer_constraints_for_callable( callee_type, arg_types, arg_kinds, arg_names, formal_to_actual, context ) # Solve constraints. type_vars = callee_type.variables return solve_constraints(type_vars, constraints, strict, allow_polymorphic) def infer_type_arguments( type_vars: Sequence[TypeVarLikeType], template: Type, actual: Type, is_supertype: bool = False, skip_unsatisfied: bool = False, ) -> list[Type | None]: # Like infer_function_type_arguments, but only match a single type # against a generic type. constraints = infer_constraints(template, actual, SUPERTYPE_OF if is_supertype else SUBTYPE_OF) return solve_constraints(type_vars, constraints, skip_unsatisfied=skip_unsatisfied)[0] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/inspections.py0000644000175100017510000005637415112307767016204 0ustar00runnerrunnerfrom __future__ import annotations import os from collections import defaultdict from functools import cmp_to_key from typing import Callable from mypy.build import State from mypy.messages import format_type from mypy.modulefinder import PYTHON_EXTENSIONS from mypy.nodes import ( LDEF, Decorator, Expression, FuncBase, MemberExpr, MypyFile, Node, OverloadedFuncDef, RefExpr, SymbolNode, TypeInfo, Var, ) from mypy.server.update import FineGrainedBuildManager from mypy.traverser import ExtendedTraverserVisitor from mypy.typeops import tuple_fallback from mypy.types import ( FunctionLike, Instance, LiteralType, ProperType, TupleType, TypedDictType, TypeVarType, UnionType, get_proper_type, ) from mypy.typevars import fill_typevars_with_any def node_starts_after(o: Node, line: int, column: int) -> bool: return o.line > line or o.line == line and o.column > column def node_ends_before(o: Node, line: int, column: int) -> bool: # Unfortunately, end positions for some statements are a mess, # e.g. overloaded functions, so we return False when we don't know. if o.end_line is not None and o.end_column is not None: if o.end_line < line or o.end_line == line and o.end_column < column: return True return False def expr_span(expr: Expression) -> str: """Format expression span as in mypy error messages.""" return f"{expr.line}:{expr.column + 1}:{expr.end_line}:{expr.end_column}" def get_instance_fallback(typ: ProperType) -> list[Instance]: """Returns the Instance fallback for this type if one exists or None.""" if isinstance(typ, Instance): return [typ] elif isinstance(typ, TupleType): return [tuple_fallback(typ)] elif isinstance(typ, TypedDictType): return [typ.fallback] elif isinstance(typ, FunctionLike): return [typ.fallback] elif isinstance(typ, LiteralType): return [typ.fallback] elif isinstance(typ, TypeVarType): if typ.values: res = [] for t in typ.values: res.extend(get_instance_fallback(get_proper_type(t))) return res return get_instance_fallback(get_proper_type(typ.upper_bound)) elif isinstance(typ, UnionType): res = [] for t in typ.items: res.extend(get_instance_fallback(get_proper_type(t))) return res return [] def find_node(name: str, info: TypeInfo) -> Var | FuncBase | None: """Find the node defining member 'name' in given TypeInfo.""" # TODO: this code shares some logic with checkmember.py method = info.get_method(name) if method: if isinstance(method, Decorator): return method.var if method.is_property: assert isinstance(method, OverloadedFuncDef) dec = method.items[0] assert isinstance(dec, Decorator) return dec.var return method else: # don't have such method, maybe variable? node = info.get(name) v = node.node if node else None if isinstance(v, Var): return v return None def find_module_by_fullname(fullname: str, modules: dict[str, State]) -> State | None: """Find module by a node fullname. This logic mimics the one we use in fixup, so should be good enough. """ head = fullname # Special case: a module symbol is considered to be defined in itself, not in enclosing # package, since this is what users want when clicking go to definition on a module. if head in modules: return modules[head] while True: if "." not in head: return None head, tail = head.rsplit(".", maxsplit=1) mod = modules.get(head) if mod is not None: return mod class SearchVisitor(ExtendedTraverserVisitor): """Visitor looking for an expression whose span matches given one exactly.""" def __init__(self, line: int, column: int, end_line: int, end_column: int) -> None: self.line = line self.column = column self.end_line = end_line self.end_column = end_column self.result: Expression | None = None def visit(self, o: Node) -> bool: if node_starts_after(o, self.line, self.column): return False if node_ends_before(o, self.end_line, self.end_column): return False if ( o.line == self.line and o.end_line == self.end_line and o.column == self.column and o.end_column == self.end_column ): if isinstance(o, Expression): self.result = o return self.result is None def find_by_location( tree: MypyFile, line: int, column: int, end_line: int, end_column: int ) -> Expression | None: """Find an expression matching given span, or None if not found.""" if end_line < line: raise ValueError('"end_line" must not be before "line"') if end_line == line and end_column <= column: raise ValueError('"end_column" must be after "column"') visitor = SearchVisitor(line, column, end_line, end_column) tree.accept(visitor) return visitor.result class SearchAllVisitor(ExtendedTraverserVisitor): """Visitor looking for all expressions whose spans enclose given position.""" def __init__(self, line: int, column: int) -> None: self.line = line self.column = column self.result: list[Expression] = [] def visit(self, o: Node) -> bool: if node_starts_after(o, self.line, self.column): return False if node_ends_before(o, self.line, self.column): return False if isinstance(o, Expression): self.result.append(o) return True def find_all_by_location(tree: MypyFile, line: int, column: int) -> list[Expression]: """Find all expressions enclosing given position starting from innermost.""" visitor = SearchAllVisitor(line, column) tree.accept(visitor) return list(reversed(visitor.result)) class InspectionEngine: """Engine for locating and statically inspecting expressions.""" def __init__( self, fg_manager: FineGrainedBuildManager, *, verbosity: int = 0, limit: int = 0, include_span: bool = False, include_kind: bool = False, include_object_attrs: bool = False, union_attrs: bool = False, force_reload: bool = False, ) -> None: self.fg_manager = fg_manager self.verbosity = verbosity self.limit = limit self.include_span = include_span self.include_kind = include_kind self.include_object_attrs = include_object_attrs self.union_attrs = union_attrs self.force_reload = force_reload # Module for which inspection was requested. self.module: State | None = None def reload_module(self, state: State) -> None: """Reload given module while temporary exporting types.""" old = self.fg_manager.manager.options.export_types self.fg_manager.manager.options.export_types = True try: self.fg_manager.flush_cache() assert state.path is not None self.fg_manager.update([(state.id, state.path)], []) finally: self.fg_manager.manager.options.export_types = old def expr_type(self, expression: Expression) -> tuple[str, bool]: """Format type for an expression using current options. If type is known, second item returned is True. If type is not known, an error message is returned instead, and second item returned is False. """ expr_type = self.fg_manager.manager.all_types.get(expression) if expr_type is None: return self.missing_type(expression), False type_str = format_type( expr_type, self.fg_manager.manager.options, verbosity=self.verbosity ) return self.add_prefixes(type_str, expression), True def object_type(self) -> Instance: builtins = self.fg_manager.graph["builtins"].tree assert builtins is not None object_node = builtins.names["object"].node assert isinstance(object_node, TypeInfo) return Instance(object_node, []) def collect_attrs(self, instances: list[Instance]) -> dict[TypeInfo, list[str]]: """Collect attributes from all union/typevar variants.""" def item_attrs(attr_dict: dict[TypeInfo, list[str]]) -> set[str]: attrs = set() for base in attr_dict: attrs |= set(attr_dict[base]) return attrs def cmp_types(x: TypeInfo, y: TypeInfo) -> int: if x in y.mro: return 1 if y in x.mro: return -1 return 0 # First gather all attributes for every union variant. assert instances all_attrs = [] for instance in instances: attrs = {} mro = instance.type.mro if not self.include_object_attrs: mro = mro[:-1] for base in mro: attrs[base] = sorted(base.names) all_attrs.append(attrs) # Find attributes valid for all variants in a union or type variable. intersection = item_attrs(all_attrs[0]) for item in all_attrs[1:]: intersection &= item_attrs(item) # Combine attributes from all variants into a single dict while # also removing invalid attributes (unless using --union-attrs). combined_attrs = defaultdict(list) for item in all_attrs: for base in item: if base in combined_attrs: continue for name in item[base]: if self.union_attrs or name in intersection: combined_attrs[base].append(name) # Sort bases by MRO, unrelated will appear in the order they appeared as union variants. sorted_bases = sorted(combined_attrs.keys(), key=cmp_to_key(cmp_types)) result = {} for base in sorted_bases: if not combined_attrs[base]: # Skip bases where everytihng was filtered out. continue result[base] = combined_attrs[base] return result def _fill_from_dict( self, attrs_strs: list[str], attrs_dict: dict[TypeInfo, list[str]] ) -> None: for base in attrs_dict: cls_name = base.name if self.verbosity < 1 else base.fullname attrs = [f'"{attr}"' for attr in attrs_dict[base]] attrs_strs.append(f'"{cls_name}": [{", ".join(attrs)}]') def expr_attrs(self, expression: Expression) -> tuple[str, bool]: """Format attributes that are valid for a given expression. If expression type is not an Instance, try using fallback. Attributes are returned as a JSON (ordered by MRO) that maps base class name to list of attributes. Attributes may appear in multiple bases if overridden (we simply follow usual mypy logic for creating new Vars etc). """ expr_type = self.fg_manager.manager.all_types.get(expression) if expr_type is None: return self.missing_type(expression), False expr_type = get_proper_type(expr_type) instances = get_instance_fallback(expr_type) if not instances: # Everything is an object in Python. instances = [self.object_type()] attrs_dict = self.collect_attrs(instances) # Special case: modules have names apart from those from ModuleType. if isinstance(expression, RefExpr) and isinstance(expression.node, MypyFile): node = expression.node names = sorted(node.names) if "__builtins__" in names: # This is just to make tests stable. No one will really need this name. names.remove("__builtins__") mod_dict = {f'"<{node.fullname}>"': [f'"{name}"' for name in names]} else: mod_dict = {} # Special case: for class callables, prepend with the class attributes. # TODO: also handle cases when such callable appears in a union. if isinstance(expr_type, FunctionLike) and expr_type.is_type_obj(): template = fill_typevars_with_any(expr_type.type_object()) class_dict = self.collect_attrs(get_instance_fallback(template)) else: class_dict = {} # We don't use JSON dump to be sure keys order is always preserved. base_attrs = [] if mod_dict: for mod in mod_dict: base_attrs.append(f'{mod}: [{", ".join(mod_dict[mod])}]') self._fill_from_dict(base_attrs, class_dict) self._fill_from_dict(base_attrs, attrs_dict) return self.add_prefixes(f'{{{", ".join(base_attrs)}}}', expression), True def format_node(self, module: State, node: FuncBase | SymbolNode) -> str: return f"{module.path}:{node.line}:{node.column + 1}:{node.name}" def collect_nodes(self, expression: RefExpr) -> list[FuncBase | SymbolNode]: """Collect nodes that can be referred to by an expression. Note: it can be more than one for example in case of a union attribute. """ node: FuncBase | SymbolNode | None = expression.node nodes: list[FuncBase | SymbolNode] if node is None: # Tricky case: instance attribute if isinstance(expression, MemberExpr) and expression.kind is None: base_type = self.fg_manager.manager.all_types.get(expression.expr) if base_type is None: return [] # Now we use the base type to figure out where the attribute is defined. base_type = get_proper_type(base_type) instances = get_instance_fallback(base_type) nodes = [] for instance in instances: node = find_node(expression.name, instance.type) if node: nodes.append(node) if not nodes: # Try checking class namespace if attribute is on a class object. if isinstance(base_type, FunctionLike) and base_type.is_type_obj(): instances = get_instance_fallback( fill_typevars_with_any(base_type.type_object()) ) for instance in instances: node = find_node(expression.name, instance.type) if node: nodes.append(node) else: # Still no luck, give up. return [] else: return [] else: # Easy case: a module-level definition nodes = [node] return nodes def modules_for_nodes( self, nodes: list[FuncBase | SymbolNode], expression: RefExpr ) -> tuple[dict[FuncBase | SymbolNode, State], bool]: """Gather modules where given nodes where defined. Also check if they need to be refreshed (cached nodes may have lines/columns missing). """ modules = {} reload_needed = False for node in nodes: module = find_module_by_fullname(node.fullname, self.fg_manager.graph) if not module: if expression.kind == LDEF and self.module: module = self.module else: continue modules[node] = module if not module.tree or module.tree.is_cache_skeleton or self.force_reload: reload_needed |= not module.tree or module.tree.is_cache_skeleton self.reload_module(module) return modules, reload_needed def expression_def(self, expression: Expression) -> tuple[str, bool]: """Find and format definition location for an expression. If it is not a RefExpr, it is effectively skipped by returning an empty result. """ if not isinstance(expression, RefExpr): # If there are no suitable matches at all, we return error later. return "", True nodes = self.collect_nodes(expression) if not nodes: return self.missing_node(expression), False modules, reload_needed = self.modules_for_nodes(nodes, expression) if reload_needed: # TODO: line/column are not stored in cache for vast majority of symbol nodes. # Adding them will make thing faster, but will have visible memory impact. nodes = self.collect_nodes(expression) modules, reload_needed = self.modules_for_nodes(nodes, expression) assert not reload_needed result = [] for node in modules: result.append(self.format_node(modules[node], node)) if not result: return self.missing_node(expression), False return self.add_prefixes(", ".join(result), expression), True def missing_type(self, expression: Expression) -> str: alt_suggestion = "" if not self.force_reload: alt_suggestion = " or try --force-reload" return ( f'No known type available for "{type(expression).__name__}"' f" (maybe unreachable{alt_suggestion})" ) def missing_node(self, expression: Expression) -> str: return ( f'Cannot find definition for "{type(expression).__name__}" at {expr_span(expression)}' ) def add_prefixes(self, result: str, expression: Expression) -> str: prefixes = [] if self.include_kind: prefixes.append(f"{type(expression).__name__}") if self.include_span: prefixes.append(expr_span(expression)) if prefixes: prefix = ":".join(prefixes) + " -> " else: prefix = "" return prefix + result def run_inspection_by_exact_location( self, tree: MypyFile, line: int, column: int, end_line: int, end_column: int, method: Callable[[Expression], tuple[str, bool]], ) -> dict[str, object]: """Get type of an expression matching a span. Type or error is returned as a standard daemon response dict. """ try: expression = find_by_location(tree, line, column - 1, end_line, end_column) except ValueError as err: return {"error": str(err)} if expression is None: span = f"{line}:{column}:{end_line}:{end_column}" return {"out": f"Can't find expression at span {span}", "err": "", "status": 1} inspection_str, success = method(expression) return {"out": inspection_str, "err": "", "status": 0 if success else 1} def run_inspection_by_position( self, tree: MypyFile, line: int, column: int, method: Callable[[Expression], tuple[str, bool]], ) -> dict[str, object]: """Get types of all expressions enclosing a position. Types and/or errors are returned as a standard daemon response dict. """ expressions = find_all_by_location(tree, line, column - 1) if not expressions: position = f"{line}:{column}" return { "out": f"Can't find any expressions at position {position}", "err": "", "status": 1, } inspection_strs = [] status = 0 for expression in expressions: inspection_str, success = method(expression) if not success: status = 1 if inspection_str: inspection_strs.append(inspection_str) if self.limit: inspection_strs = inspection_strs[: self.limit] return {"out": "\n".join(inspection_strs), "err": "", "status": status} def find_module(self, file: str) -> tuple[State | None, dict[str, object]]: """Find module by path, or return a suitable error message. Note we don't use exceptions to simplify handling 1 vs 2 statuses. """ if not any(file.endswith(ext) for ext in PYTHON_EXTENSIONS): return None, {"error": "Source file is not a Python file"} # We are using a bit slower but robust way to find a module by path, # to be sure that namespace packages are handled properly. abs_path = os.path.abspath(file) state = next((s for s in self.fg_manager.graph.values() if s.abspath == abs_path), None) self.module = state return ( state, {"out": f"Unknown module: {file}", "err": "", "status": 1} if state is None else {}, ) def run_inspection( self, location: str, method: Callable[[Expression], tuple[str, bool]] ) -> dict[str, object]: """Top-level logic to inspect expression(s) at a location. This can be reused by various simple inspections. """ try: file, pos = parse_location(location) except ValueError as err: return {"error": str(err)} state, err_dict = self.find_module(file) if state is None: assert err_dict return err_dict # Force reloading to load from cache, account for any edits, etc. if not state.tree or state.tree.is_cache_skeleton or self.force_reload: self.reload_module(state) assert state.tree is not None if len(pos) == 4: # Full span, return an exact match only. line, column, end_line, end_column = pos return self.run_inspection_by_exact_location( state.tree, line, column, end_line, end_column, method ) assert len(pos) == 2 # Inexact location, return all expressions. line, column = pos return self.run_inspection_by_position(state.tree, line, column, method) def get_type(self, location: str) -> dict[str, object]: """Get types of expression(s) at a location.""" return self.run_inspection(location, self.expr_type) def get_attrs(self, location: str) -> dict[str, object]: """Get attributes of expression(s) at a location.""" return self.run_inspection(location, self.expr_attrs) def get_definition(self, location: str) -> dict[str, object]: """Get symbol definitions of expression(s) at a location.""" result = self.run_inspection(location, self.expression_def) if "out" in result and not result["out"]: # None of the expressions found turns out to be a RefExpr. _, location = location.split(":", maxsplit=1) result["out"] = f"No name or member expressions at {location}" result["status"] = 1 return result def parse_location(location: str) -> tuple[str, list[int]]: if location.count(":") < 2: raise ValueError("Format should be file:line:column[:end_line:end_column]") parts = location.rsplit(":", maxsplit=2) start, *rest = parts # Note: we must allow drive prefix like `C:` on Windows. if start.count(":") < 2: return start, [int(p) for p in rest] parts = start.rsplit(":", maxsplit=2) start, *start_rest = parts if start.count(":") < 2: return start, [int(p) for p in start_rest + rest] raise ValueError("Format should be file:line:column[:end_line:end_column]") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/ipc.py0000644000175100017510000002717315112307767014414 0ustar00runnerrunner"""Cross platform abstractions for inter-process communication On Unix, this uses AF_UNIX sockets. On Windows, this uses NamedPipes. """ from __future__ import annotations import base64 import codecs import os import shutil import sys import tempfile from types import TracebackType from typing import Callable, Final if sys.platform == "win32": # This may be private, but it is needed for IPC on Windows, and is basically stable import _winapi import ctypes _IPCHandle = int kernel32 = ctypes.windll.kernel32 DisconnectNamedPipe: Callable[[_IPCHandle], int] = kernel32.DisconnectNamedPipe FlushFileBuffers: Callable[[_IPCHandle], int] = kernel32.FlushFileBuffers else: import socket _IPCHandle = socket.socket class IPCException(Exception): """Exception for IPC issues.""" class IPCBase: """Base class for communication between the dmypy client and server. This contains logic shared between the client and server, such as reading and writing. We want to be able to send multiple "messages" over a single connection and to be able to separate the messages. We do this by encoding the messages in an alphabet that does not contain spaces, then adding a space for separation. The last framed message is also followed by a space. """ connection: _IPCHandle def __init__(self, name: str, timeout: float | None) -> None: self.name = name self.timeout = timeout self.buffer = bytearray() def frame_from_buffer(self) -> bytearray | None: """Return a full frame from the bytes we have in the buffer.""" space_pos = self.buffer.find(b" ") if space_pos == -1: return None # We have a full frame bdata = self.buffer[:space_pos] self.buffer = self.buffer[space_pos + 1 :] return bdata def read(self, size: int = 100000) -> str: """Read bytes from an IPC connection until we have a full frame.""" bdata: bytearray | None = bytearray() if sys.platform == "win32": while True: # Check if we already have a message in the buffer before # receiving any more data from the socket. bdata = self.frame_from_buffer() if bdata is not None: break # Receive more data into the buffer. ov, err = _winapi.ReadFile(self.connection, size, overlapped=True) try: if err == _winapi.ERROR_IO_PENDING: timeout = int(self.timeout * 1000) if self.timeout else _winapi.INFINITE res = _winapi.WaitForSingleObject(ov.event, timeout) if res != _winapi.WAIT_OBJECT_0: raise IPCException(f"Bad result from I/O wait: {res}") except BaseException: ov.cancel() raise _, err = ov.GetOverlappedResult(True) more = ov.getbuffer() if more: self.buffer.extend(more) bdata = self.frame_from_buffer() if bdata is not None: break if err == 0: # we are done! break elif err == _winapi.ERROR_MORE_DATA: # read again continue elif err == _winapi.ERROR_OPERATION_ABORTED: raise IPCException("ReadFile operation aborted.") else: while True: # Check if we already have a message in the buffer before # receiving any more data from the socket. bdata = self.frame_from_buffer() if bdata is not None: break # Receive more data into the buffer. more = self.connection.recv(size) if not more: # Connection closed break self.buffer.extend(more) if not bdata: # Socket was empty and we didn't get any frame. # This should only happen if the socket was closed. return "" return codecs.decode(bdata, "base64").decode("utf8") def write(self, data: str) -> None: """Write to an IPC connection.""" # Frame the data by urlencoding it and separating by space. encoded_data = codecs.encode(data.encode("utf8"), "base64") + b" " if sys.platform == "win32": try: ov, err = _winapi.WriteFile(self.connection, encoded_data, overlapped=True) try: if err == _winapi.ERROR_IO_PENDING: timeout = int(self.timeout * 1000) if self.timeout else _winapi.INFINITE res = _winapi.WaitForSingleObject(ov.event, timeout) if res != _winapi.WAIT_OBJECT_0: raise IPCException(f"Bad result from I/O wait: {res}") elif err != 0: raise IPCException(f"Failed writing to pipe with error: {err}") except BaseException: ov.cancel() raise bytes_written, err = ov.GetOverlappedResult(True) assert err == 0, err assert bytes_written == len(encoded_data) except OSError as e: raise IPCException(f"Failed to write with error: {e.winerror}") from e else: self.connection.sendall(encoded_data) def close(self) -> None: if sys.platform == "win32": if self.connection != _winapi.NULL: _winapi.CloseHandle(self.connection) else: self.connection.close() class IPCClient(IPCBase): """The client side of an IPC connection.""" def __init__(self, name: str, timeout: float | None) -> None: super().__init__(name, timeout) if sys.platform == "win32": timeout = int(self.timeout * 1000) if self.timeout else _winapi.NMPWAIT_WAIT_FOREVER try: _winapi.WaitNamedPipe(self.name, timeout) except FileNotFoundError as e: raise IPCException(f"The NamedPipe at {self.name} was not found.") from e except OSError as e: if e.winerror == _winapi.ERROR_SEM_TIMEOUT: raise IPCException("Timed out waiting for connection.") from e else: raise try: self.connection = _winapi.CreateFile( self.name, _winapi.GENERIC_READ | _winapi.GENERIC_WRITE, 0, _winapi.NULL, _winapi.OPEN_EXISTING, _winapi.FILE_FLAG_OVERLAPPED, _winapi.NULL, ) except OSError as e: if e.winerror == _winapi.ERROR_PIPE_BUSY: raise IPCException("The connection is busy.") from e else: raise _winapi.SetNamedPipeHandleState( self.connection, _winapi.PIPE_READMODE_MESSAGE, None, None ) else: self.connection = socket.socket(socket.AF_UNIX) self.connection.settimeout(timeout) self.connection.connect(name) def __enter__(self) -> IPCClient: return self def __exit__( self, exc_ty: type[BaseException] | None = None, exc_val: BaseException | None = None, exc_tb: TracebackType | None = None, ) -> None: self.close() class IPCServer(IPCBase): BUFFER_SIZE: Final = 2**16 def __init__(self, name: str, timeout: float | None = None) -> None: if sys.platform == "win32": name = r"\\.\pipe\{}-{}.pipe".format( name, base64.urlsafe_b64encode(os.urandom(6)).decode() ) else: name = f"{name}.sock" super().__init__(name, timeout) if sys.platform == "win32": self.connection = _winapi.CreateNamedPipe( self.name, _winapi.PIPE_ACCESS_DUPLEX | _winapi.FILE_FLAG_FIRST_PIPE_INSTANCE | _winapi.FILE_FLAG_OVERLAPPED, _winapi.PIPE_READMODE_MESSAGE | _winapi.PIPE_TYPE_MESSAGE | _winapi.PIPE_WAIT | 0x8, # PIPE_REJECT_REMOTE_CLIENTS 1, # one instance self.BUFFER_SIZE, self.BUFFER_SIZE, _winapi.NMPWAIT_WAIT_FOREVER, 0, # Use default security descriptor ) if self.connection == -1: # INVALID_HANDLE_VALUE err = _winapi.GetLastError() raise IPCException(f"Invalid handle to pipe: {err}") else: self.sock_directory = tempfile.mkdtemp() sockfile = os.path.join(self.sock_directory, self.name) self.sock = socket.socket(socket.AF_UNIX) self.sock.bind(sockfile) self.sock.listen(1) if timeout is not None: self.sock.settimeout(timeout) def __enter__(self) -> IPCServer: if sys.platform == "win32": # NOTE: It is theoretically possible that this will hang forever if the # client never connects, though this can be "solved" by killing the server try: ov = _winapi.ConnectNamedPipe(self.connection, overlapped=True) except OSError as e: # Don't raise if the client already exists, or the client already connected if e.winerror not in (_winapi.ERROR_PIPE_CONNECTED, _winapi.ERROR_NO_DATA): raise else: try: timeout = int(self.timeout * 1000) if self.timeout else _winapi.INFINITE res = _winapi.WaitForSingleObject(ov.event, timeout) assert res == _winapi.WAIT_OBJECT_0 except BaseException: ov.cancel() _winapi.CloseHandle(self.connection) raise _, err = ov.GetOverlappedResult(True) assert err == 0 else: try: self.connection, _ = self.sock.accept() except socket.timeout as e: raise IPCException("The socket timed out") from e return self def __exit__( self, exc_ty: type[BaseException] | None = None, exc_val: BaseException | None = None, exc_tb: TracebackType | None = None, ) -> None: if sys.platform == "win32": try: # Wait for the client to finish reading the last write before disconnecting if not FlushFileBuffers(self.connection): raise IPCException( "Failed to flush NamedPipe buffer, maybe the client hung up?" ) finally: DisconnectNamedPipe(self.connection) else: self.close() def cleanup(self) -> None: if sys.platform == "win32": self.close() else: shutil.rmtree(self.sock_directory) @property def connection_name(self) -> str: if sys.platform == "win32": return self.name elif sys.platform == "gnu0": # GNU/Hurd returns empty string from getsockname() # for AF_UNIX sockets return os.path.join(self.sock_directory, self.name) else: name = self.sock.getsockname() assert isinstance(name, str) return name ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/join.py0000644000175100017510000011406215112307767014572 0ustar00runnerrunner"""Calculation of the least upper bound types (joins).""" from __future__ import annotations from collections.abc import Sequence from typing import overload import mypy.typeops from mypy.expandtype import expand_type from mypy.maptype import map_instance_to_supertype from mypy.nodes import CONTRAVARIANT, COVARIANT, INVARIANT, VARIANCE_NOT_READY, TypeInfo from mypy.state import state from mypy.subtypes import ( SubtypeContext, find_member, is_equivalent, is_proper_subtype, is_protocol_implementation, is_subtype, ) from mypy.types import ( AnyType, CallableType, DeletedType, ErasedType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, TypeVisitor, UnboundType, UninhabitedType, UnionType, UnpackType, find_unpack_in_list, get_proper_type, get_proper_types, split_with_prefix_and_suffix, ) class InstanceJoiner: def __init__(self) -> None: self.seen_instances: list[tuple[Instance, Instance]] = [] def join_instances(self, t: Instance, s: Instance) -> ProperType: if (t, s) in self.seen_instances or (s, t) in self.seen_instances: return object_from_instance(t) self.seen_instances.append((t, s)) # Calculate the join of two instance types if t.type == s.type: # Simplest case: join two types with the same base type (but # potentially different arguments). # Combine type arguments. args: list[Type] = [] # N.B: We use zip instead of indexing because the lengths might have # mismatches during daemon reprocessing. if t.type.has_type_var_tuple_type: # We handle joins of variadic instances by simply creating correct mapping # for type arguments and compute the individual joins same as for regular # instances. All the heavy lifting is done in the join of tuple types. assert s.type.type_var_tuple_prefix is not None assert s.type.type_var_tuple_suffix is not None prefix = s.type.type_var_tuple_prefix suffix = s.type.type_var_tuple_suffix tvt = s.type.defn.type_vars[prefix] assert isinstance(tvt, TypeVarTupleType) fallback = tvt.tuple_fallback s_prefix, s_middle, s_suffix = split_with_prefix_and_suffix(s.args, prefix, suffix) t_prefix, t_middle, t_suffix = split_with_prefix_and_suffix(t.args, prefix, suffix) s_args = s_prefix + (TupleType(list(s_middle), fallback),) + s_suffix t_args = t_prefix + (TupleType(list(t_middle), fallback),) + t_suffix else: t_args = t.args s_args = s.args for ta, sa, type_var in zip(t_args, s_args, t.type.defn.type_vars): ta_proper = get_proper_type(ta) sa_proper = get_proper_type(sa) new_type: Type | None = None if isinstance(ta_proper, AnyType): new_type = AnyType(TypeOfAny.from_another_any, ta_proper) elif isinstance(sa_proper, AnyType): new_type = AnyType(TypeOfAny.from_another_any, sa_proper) elif isinstance(type_var, TypeVarType): if type_var.variance in (COVARIANT, VARIANCE_NOT_READY): new_type = join_types(ta, sa, self) if len(type_var.values) != 0 and new_type not in type_var.values: self.seen_instances.pop() return object_from_instance(t) if not is_subtype(new_type, type_var.upper_bound): self.seen_instances.pop() return object_from_instance(t) # TODO: contravariant case should use meet but pass seen instances as # an argument to keep track of recursive checks. elif type_var.variance in (INVARIANT, CONTRAVARIANT): if isinstance(ta_proper, UninhabitedType) and ta_proper.ambiguous: new_type = sa elif isinstance(sa_proper, UninhabitedType) and sa_proper.ambiguous: new_type = ta elif not is_equivalent(ta, sa): self.seen_instances.pop() return object_from_instance(t) else: # If the types are different but equivalent, then an Any is involved # so using a join in the contravariant case is also OK. new_type = join_types(ta, sa, self) elif isinstance(type_var, TypeVarTupleType): new_type = get_proper_type(join_types(ta, sa, self)) # Put the joined arguments back into instance in the normal form: # a) Tuple[X, Y, Z] -> [X, Y, Z] # b) tuple[X, ...] -> [*tuple[X, ...]] if isinstance(new_type, Instance): assert new_type.type.fullname == "builtins.tuple" new_type = UnpackType(new_type) else: assert isinstance(new_type, TupleType) args.extend(new_type.items) continue else: # ParamSpec type variables behave the same, independent of variance if not is_equivalent(ta, sa): return get_proper_type(type_var.upper_bound) new_type = join_types(ta, sa, self) assert new_type is not None args.append(new_type) result: ProperType = Instance(t.type, args) elif t.type.bases and is_proper_subtype( t, s, subtype_context=SubtypeContext(ignore_type_params=True) ): result = self.join_instances_via_supertype(t, s) else: # Now t is not a subtype of s, and t != s. Now s could be a subtype # of t; alternatively, we need to find a common supertype. This works # in of the both cases. result = self.join_instances_via_supertype(s, t) self.seen_instances.pop() return result def join_instances_via_supertype(self, t: Instance, s: Instance) -> ProperType: # Give preference to joins via duck typing relationship, so that # join(int, float) == float, for example. for p in t.type._promote: if is_subtype(p, s): return join_types(p, s, self) for p in s.type._promote: if is_subtype(p, t): return join_types(t, p, self) # Compute the "best" supertype of t when joined with s. # The definition of "best" may evolve; for now it is the one with # the longest MRO. Ties are broken by using the earlier base. # Go over both sets of bases in case there's an explicit Protocol base. This is important # to ensure commutativity of join (although in cases where both classes have relevant # Protocol bases this maybe might still not be commutative) base_types: dict[TypeInfo, None] = {} # dict to deduplicate but preserve order for base in t.type.bases: base_types[base.type] = None for base in s.type.bases: if base.type.is_protocol and is_subtype(t, base): base_types[base.type] = None best: ProperType | None = None for base_type in base_types: mapped = map_instance_to_supertype(t, base_type) res = self.join_instances(mapped, s) if best is None or is_better(res, best): best = res assert best is not None for promote in t.type._promote: if isinstance(promote, Instance): res = self.join_instances(promote, s) if is_better(res, best): best = res return best def trivial_join(s: Type, t: Type) -> Type: """Return one of types (expanded) if it is a supertype of other, otherwise top type.""" if is_subtype(s, t): return t elif is_subtype(t, s): return s else: return object_or_any_from_type(get_proper_type(t)) @overload def join_types( s: ProperType, t: ProperType, instance_joiner: InstanceJoiner | None = None ) -> ProperType: ... @overload def join_types(s: Type, t: Type, instance_joiner: InstanceJoiner | None = None) -> Type: ... def join_types(s: Type, t: Type, instance_joiner: InstanceJoiner | None = None) -> Type: """Return the least upper bound of s and t. For example, the join of 'int' and 'object' is 'object'. """ if mypy.typeops.is_recursive_pair(s, t): # This case can trigger an infinite recursion, general support for this will be # tricky so we use a trivial join (like for protocols). return trivial_join(s, t) s = get_proper_type(s) t = get_proper_type(t) if (s.can_be_true, s.can_be_false) != (t.can_be_true, t.can_be_false): # if types are restricted in different ways, use the more general versions s = mypy.typeops.true_or_false(s) t = mypy.typeops.true_or_false(t) if isinstance(s, UnionType) and not isinstance(t, UnionType): s, t = t, s if isinstance(s, AnyType): return s if isinstance(s, ErasedType): return t if isinstance(s, NoneType) and not isinstance(t, NoneType): s, t = t, s if isinstance(s, UninhabitedType) and not isinstance(t, UninhabitedType): s, t = t, s # Meets/joins require callable type normalization. s, t = normalize_callables(s, t) # Use a visitor to handle non-trivial cases. return t.accept(TypeJoinVisitor(s, instance_joiner)) class TypeJoinVisitor(TypeVisitor[ProperType]): """Implementation of the least upper bound algorithm. Attributes: s: The other (left) type operand. """ def __init__(self, s: ProperType, instance_joiner: InstanceJoiner | None = None) -> None: self.s = s self.instance_joiner = instance_joiner def visit_unbound_type(self, t: UnboundType) -> ProperType: return AnyType(TypeOfAny.special_form) def visit_union_type(self, t: UnionType) -> ProperType: if is_proper_subtype(self.s, t): return t else: return mypy.typeops.make_simplified_union([self.s, t]) def visit_any(self, t: AnyType) -> ProperType: return t def visit_none_type(self, t: NoneType) -> ProperType: if state.strict_optional: if isinstance(self.s, (NoneType, UninhabitedType)): return t elif isinstance(self.s, (UnboundType, AnyType)): return AnyType(TypeOfAny.special_form) else: return mypy.typeops.make_simplified_union([self.s, t]) else: return self.s def visit_uninhabited_type(self, t: UninhabitedType) -> ProperType: return self.s def visit_deleted_type(self, t: DeletedType) -> ProperType: return self.s def visit_erased_type(self, t: ErasedType) -> ProperType: return self.s def visit_type_var(self, t: TypeVarType) -> ProperType: if isinstance(self.s, TypeVarType) and self.s.id == t.id: if self.s.upper_bound == t.upper_bound: return self.s return self.s.copy_modified(upper_bound=join_types(self.s.upper_bound, t.upper_bound)) else: return self.default(self.s) def visit_param_spec(self, t: ParamSpecType) -> ProperType: if self.s == t: return t return self.default(self.s) def visit_type_var_tuple(self, t: TypeVarTupleType) -> ProperType: if self.s == t: return t if isinstance(self.s, Instance) and is_subtype(t.upper_bound, self.s): # TODO: should we do this more generally and for all TypeVarLikeTypes? return self.s return self.default(self.s) def visit_unpack_type(self, t: UnpackType) -> UnpackType: raise NotImplementedError def visit_parameters(self, t: Parameters) -> ProperType: if isinstance(self.s, Parameters): if not is_similar_params(t, self.s): # TODO: it would be prudent to return [*object, **object] instead of Any. return self.default(self.s) from mypy.meet import meet_types return t.copy_modified( arg_types=[ meet_types(s_a, t_a) for s_a, t_a in zip(self.s.arg_types, t.arg_types) ], arg_names=combine_arg_names(self.s, t), ) else: return self.default(self.s) def visit_instance(self, t: Instance) -> ProperType: if isinstance(self.s, Instance): if self.instance_joiner is None: self.instance_joiner = InstanceJoiner() nominal = self.instance_joiner.join_instances(t, self.s) structural: Instance | None = None if t.type.is_protocol and is_protocol_implementation(self.s, t): structural = t elif self.s.type.is_protocol and is_protocol_implementation(t, self.s): structural = self.s # Structural join is preferred in the case where we have found both # structural and nominal and they have same MRO length (see two comments # in join_instances_via_supertype). Otherwise, just return the nominal join. if not structural or is_better(nominal, structural): return nominal return structural elif isinstance(self.s, FunctionLike): if t.type.is_protocol: call = unpack_callback_protocol(t) if call: return join_types(call, self.s) return join_types(t, self.s.fallback) elif isinstance(self.s, TypeType): return join_types(t, self.s) elif isinstance(self.s, TypedDictType): return join_types(t, self.s) elif isinstance(self.s, TupleType): return join_types(t, self.s) elif isinstance(self.s, LiteralType): return join_types(t, self.s) elif isinstance(self.s, TypeVarTupleType) and is_subtype(self.s.upper_bound, t): return t else: return self.default(self.s) def visit_callable_type(self, t: CallableType) -> ProperType: if isinstance(self.s, CallableType) and is_similar_callables(t, self.s): if is_equivalent(t, self.s): return combine_similar_callables(t, self.s) result = join_similar_callables(t, self.s) # We set the from_type_type flag to suppress error when a collection of # concrete class objects gets inferred as their common abstract superclass. if not ( (t.is_type_obj() and t.type_object().is_abstract) or (self.s.is_type_obj() and self.s.type_object().is_abstract) ): result.from_type_type = True if any( isinstance(tp, (NoneType, UninhabitedType)) for tp in get_proper_types(result.arg_types) ): # We don't want to return unusable Callable, attempt fallback instead. return join_types(t.fallback, self.s) return result elif isinstance(self.s, Overloaded): # Switch the order of arguments to that we'll get to visit_overloaded. return join_types(t, self.s) elif isinstance(self.s, Instance) and self.s.type.is_protocol: call = unpack_callback_protocol(self.s) if call: return join_types(t, call) return join_types(t.fallback, self.s) def visit_overloaded(self, t: Overloaded) -> ProperType: # This is more complex than most other cases. Here are some # examples that illustrate how this works. # # First let's define a concise notation: # - Cn are callable types (for n in 1, 2, ...) # - Ov(C1, C2, ...) is an overloaded type with items C1, C2, ... # - Callable[[T, ...], S] is written as [T, ...] -> S. # # We want some basic properties to hold (assume Cn are all # unrelated via Any-similarity): # # join(Ov(C1, C2), C1) == C1 # join(Ov(C1, C2), Ov(C1, C2)) == Ov(C1, C2) # join(Ov(C1, C2), Ov(C1, C3)) == C1 # join(Ov(C2, C2), C3) == join of fallback types # # The presence of Any types makes things more interesting. The join is the # most general type we can get with respect to Any: # # join(Ov([int] -> int, [str] -> str), [Any] -> str) == Any -> str # # We could use a simplification step that removes redundancies, but that's not # implemented right now. Consider this example, where we get a redundancy: # # join(Ov([int, Any] -> Any, [str, Any] -> Any), [Any, int] -> Any) == # Ov([Any, int] -> Any, [Any, int] -> Any) # # TODO: Consider more cases of callable subtyping. result: list[CallableType] = [] s = self.s if isinstance(s, FunctionLike): # The interesting case where both types are function types. for t_item in t.items: for s_item in s.items: if is_similar_callables(t_item, s_item): if is_equivalent(t_item, s_item): result.append(combine_similar_callables(t_item, s_item)) elif is_subtype(t_item, s_item): result.append(s_item) if result: # TODO: Simplify redundancies from the result. if len(result) == 1: return result[0] else: return Overloaded(result) return join_types(t.fallback, s.fallback) elif isinstance(s, Instance) and s.type.is_protocol: call = unpack_callback_protocol(s) if call: return join_types(t, call) return join_types(t.fallback, s) def join_tuples(self, s: TupleType, t: TupleType) -> list[Type] | None: """Join two tuple types while handling variadic entries. This is surprisingly tricky, and we don't handle some tricky corner cases. Most of the trickiness comes from the variadic tuple items like *tuple[X, ...] since they can have arbitrary partial overlaps (while *Ts can't be split). """ s_unpack_index = find_unpack_in_list(s.items) t_unpack_index = find_unpack_in_list(t.items) if s_unpack_index is None and t_unpack_index is None: if s.length() == t.length(): items: list[Type] = [] for i in range(t.length()): items.append(join_types(t.items[i], s.items[i])) return items return None if s_unpack_index is not None and t_unpack_index is not None: # The most complex case: both tuples have an unpack item. s_unpack = s.items[s_unpack_index] assert isinstance(s_unpack, UnpackType) s_unpacked = get_proper_type(s_unpack.type) t_unpack = t.items[t_unpack_index] assert isinstance(t_unpack, UnpackType) t_unpacked = get_proper_type(t_unpack.type) if s.length() == t.length() and s_unpack_index == t_unpack_index: # We can handle a case where arity is perfectly aligned, e.g. # join(Tuple[X1, *tuple[Y1, ...], Z1], Tuple[X2, *tuple[Y2, ...], Z2]). # We can essentially perform the join elementwise. prefix_len = t_unpack_index suffix_len = t.length() - t_unpack_index - 1 items = [] for si, ti in zip(s.items[:prefix_len], t.items[:prefix_len]): items.append(join_types(si, ti)) joined = join_types(s_unpacked, t_unpacked) if isinstance(joined, TypeVarTupleType): items.append(UnpackType(joined)) elif isinstance(joined, Instance) and joined.type.fullname == "builtins.tuple": items.append(UnpackType(joined)) else: if isinstance(t_unpacked, Instance): assert t_unpacked.type.fullname == "builtins.tuple" tuple_instance = t_unpacked else: assert isinstance(t_unpacked, TypeVarTupleType) tuple_instance = t_unpacked.tuple_fallback items.append( UnpackType( tuple_instance.copy_modified( args=[object_from_instance(tuple_instance)] ) ) ) if suffix_len: for si, ti in zip(s.items[-suffix_len:], t.items[-suffix_len:]): items.append(join_types(si, ti)) return items if s.length() == 1 or t.length() == 1: # Another case we can handle is when one of tuple is purely variadic # (i.e. a non-normalized form of tuple[X, ...]), in this case the join # will be again purely variadic. if not (isinstance(s_unpacked, Instance) and isinstance(t_unpacked, Instance)): return None assert s_unpacked.type.fullname == "builtins.tuple" assert t_unpacked.type.fullname == "builtins.tuple" mid_joined = join_types(s_unpacked.args[0], t_unpacked.args[0]) t_other = [a for i, a in enumerate(t.items) if i != t_unpack_index] s_other = [a for i, a in enumerate(s.items) if i != s_unpack_index] other_joined = join_type_list(s_other + t_other) mid_joined = join_types(mid_joined, other_joined) return [UnpackType(s_unpacked.copy_modified(args=[mid_joined]))] # TODO: are there other case we can handle (e.g. both prefix/suffix are shorter)? return None if s_unpack_index is not None: variadic = s unpack_index = s_unpack_index fixed = t else: assert t_unpack_index is not None variadic = t unpack_index = t_unpack_index fixed = s # Case where one tuple has variadic item and the other one doesn't. The join will # be variadic, since fixed tuple is a subtype of variadic, but not vice versa. unpack = variadic.items[unpack_index] assert isinstance(unpack, UnpackType) unpacked = get_proper_type(unpack.type) if not isinstance(unpacked, Instance): return None if fixed.length() < variadic.length() - 1: # There are no non-trivial types that are supertype of both. return None prefix_len = unpack_index suffix_len = variadic.length() - prefix_len - 1 prefix, middle, suffix = split_with_prefix_and_suffix( tuple(fixed.items), prefix_len, suffix_len ) items = [] for fi, vi in zip(prefix, variadic.items[:prefix_len]): items.append(join_types(fi, vi)) mid_joined = join_type_list(list(middle)) mid_joined = join_types(mid_joined, unpacked.args[0]) items.append(UnpackType(unpacked.copy_modified(args=[mid_joined]))) if suffix_len: for fi, vi in zip(suffix, variadic.items[-suffix_len:]): items.append(join_types(fi, vi)) return items def visit_tuple_type(self, t: TupleType) -> ProperType: # When given two fixed-length tuples: # * If they have the same length, join their subtypes item-wise: # Tuple[int, bool] + Tuple[bool, bool] becomes Tuple[int, bool] # * If lengths do not match, return a variadic tuple: # Tuple[bool, int] + Tuple[bool] becomes Tuple[int, ...] # # Otherwise, `t` is a fixed-length tuple but `self.s` is NOT: # * Joining with a variadic tuple returns variadic tuple: # Tuple[int, bool] + Tuple[bool, ...] becomes Tuple[int, ...] # * Joining with any Sequence also returns a Sequence: # Tuple[int, bool] + List[bool] becomes Sequence[int] if isinstance(self.s, TupleType): if self.instance_joiner is None: self.instance_joiner = InstanceJoiner() fallback = self.instance_joiner.join_instances( mypy.typeops.tuple_fallback(self.s), mypy.typeops.tuple_fallback(t) ) assert isinstance(fallback, Instance) items = self.join_tuples(self.s, t) if items is not None: if len(items) == 1 and isinstance(item := items[0], UnpackType): if isinstance(unpacked := get_proper_type(item.type), Instance): # Avoid double-wrapping tuple[*tuple[X, ...]] return unpacked return TupleType(items, fallback) else: # TODO: should this be a default fallback behaviour like for meet? if is_proper_subtype(self.s, t): return t if is_proper_subtype(t, self.s): return self.s return fallback else: return join_types(self.s, mypy.typeops.tuple_fallback(t)) def visit_typeddict_type(self, t: TypedDictType) -> ProperType: if isinstance(self.s, TypedDictType): items = { item_name: s_item_type for (item_name, s_item_type, t_item_type) in self.s.zip(t) if ( is_equivalent(s_item_type, t_item_type) and (item_name in t.required_keys) == (item_name in self.s.required_keys) ) } fallback = self.s.create_anonymous_fallback() all_keys = set(items.keys()) # We need to filter by items.keys() since some required keys present in both t and # self.s might be missing from the join if the types are incompatible. required_keys = all_keys & t.required_keys & self.s.required_keys # If one type has a key as readonly, we mark it as readonly for both: readonly_keys = (t.readonly_keys | t.readonly_keys) & all_keys return TypedDictType(items, required_keys, readonly_keys, fallback) elif isinstance(self.s, Instance): return join_types(self.s, t.fallback) else: return self.default(self.s) def visit_literal_type(self, t: LiteralType) -> ProperType: if isinstance(self.s, LiteralType): if t == self.s: return t if self.s.fallback.type.is_enum and t.fallback.type.is_enum: return mypy.typeops.make_simplified_union([self.s, t]) return join_types(self.s.fallback, t.fallback) elif isinstance(self.s, Instance) and self.s.last_known_value == t: return t else: return join_types(self.s, t.fallback) def visit_partial_type(self, t: PartialType) -> ProperType: # We only have partial information so we can't decide the join result. We should # never get here. assert False, "Internal error" def visit_type_type(self, t: TypeType) -> ProperType: if isinstance(self.s, TypeType): return TypeType.make_normalized( join_types(t.item, self.s.item), line=t.line, is_type_form=self.s.is_type_form or t.is_type_form, ) elif isinstance(self.s, Instance) and self.s.type.fullname == "builtins.type": return self.s else: return self.default(self.s) def visit_type_alias_type(self, t: TypeAliasType) -> ProperType: assert False, f"This should be never called, got {t}" def default(self, typ: Type) -> ProperType: typ = get_proper_type(typ) if isinstance(typ, Instance): return object_from_instance(typ) elif isinstance(typ, TypeType): return self.default(typ.item) elif isinstance(typ, UnboundType): return AnyType(TypeOfAny.special_form) elif isinstance(typ, TupleType): return self.default(mypy.typeops.tuple_fallback(typ)) elif isinstance(typ, TypedDictType): return self.default(typ.fallback) elif isinstance(typ, FunctionLike): return self.default(typ.fallback) elif isinstance(typ, TypeVarType): return self.default(typ.upper_bound) elif isinstance(typ, ParamSpecType): return self.default(typ.upper_bound) else: return AnyType(TypeOfAny.special_form) def is_better(t: Type, s: Type) -> bool: # Given two possible results from join_instances_via_supertype(), # indicate whether t is the better one. t = get_proper_type(t) s = get_proper_type(s) if isinstance(t, Instance): if not isinstance(s, Instance): return True if t.type.is_protocol != s.type.is_protocol: if t.type.fullname != "builtins.object" and s.type.fullname != "builtins.object": # mro of protocol is not really relevant return not t.type.is_protocol # Use len(mro) as a proxy for the better choice. if len(t.type.mro) > len(s.type.mro): return True return False def normalize_callables(s: ProperType, t: ProperType) -> tuple[ProperType, ProperType]: if isinstance(s, (CallableType, Overloaded)): s = s.with_unpacked_kwargs() if isinstance(t, (CallableType, Overloaded)): t = t.with_unpacked_kwargs() return s, t def is_similar_callables(t: CallableType, s: CallableType) -> bool: """Return True if t and s have identical numbers of arguments, default arguments and varargs. """ return ( len(t.arg_types) == len(s.arg_types) and t.min_args == s.min_args and t.is_var_arg == s.is_var_arg ) def is_similar_params(t: Parameters, s: Parameters) -> bool: # This matches the logic in is_similar_callables() above. return ( len(t.arg_types) == len(s.arg_types) and t.min_args == s.min_args and (t.var_arg() is not None) == (s.var_arg() is not None) ) def update_callable_ids(c: CallableType, ids: list[TypeVarId]) -> CallableType: tv_map = {} tvs = [] for tv, new_id in zip(c.variables, ids): new_tv = tv.copy_modified(id=new_id) tvs.append(new_tv) tv_map[tv.id] = new_tv return expand_type(c, tv_map).copy_modified(variables=tvs) def match_generic_callables(t: CallableType, s: CallableType) -> tuple[CallableType, CallableType]: # The case where we combine/join/meet similar callables, situation where both are generic # requires special care. A more principled solution may involve unify_generic_callable(), # but it would have two problems: # * This adds risk of infinite recursion: e.g. join -> unification -> solver -> join # * Using unification is an incorrect thing for meets, as it "widens" the types # Finally, this effectively falls back to an old behaviour before namespaces were added to # type variables, and it worked relatively well. max_len = max(len(t.variables), len(s.variables)) min_len = min(len(t.variables), len(s.variables)) if min_len == 0: return t, s new_ids = [TypeVarId.new(meta_level=0) for _ in range(max_len)] # Note: this relies on variables being in order they appear in function definition. return update_callable_ids(t, new_ids), update_callable_ids(s, new_ids) def join_similar_callables(t: CallableType, s: CallableType) -> CallableType: t, s = match_generic_callables(t, s) arg_types: list[Type] = [] for i in range(len(t.arg_types)): arg_types.append(safe_meet(t.arg_types[i], s.arg_types[i])) # TODO in combine_similar_callables also applies here (names and kinds; user metaclasses) # The fallback type can be either 'function', 'type', or some user-provided metaclass. # The result should always use 'function' as a fallback if either operands are using it. if t.fallback.type.fullname == "builtins.function": fallback = t.fallback else: fallback = s.fallback return t.copy_modified( arg_types=arg_types, arg_names=combine_arg_names(t, s), ret_type=join_types(t.ret_type, s.ret_type), fallback=fallback, name=None, ) def safe_join(t: Type, s: Type) -> Type: # This is a temporary solution to prevent crashes in combine_similar_callables() etc., # until relevant TODOs on handling arg_kinds will be addressed there. if not isinstance(t, UnpackType) and not isinstance(s, UnpackType): return join_types(t, s) if isinstance(t, UnpackType) and isinstance(s, UnpackType): return UnpackType(join_types(t.type, s.type)) return object_or_any_from_type(get_proper_type(t)) def safe_meet(t: Type, s: Type) -> Type: # Similar to above but for meet_types(). from mypy.meet import meet_types if not isinstance(t, UnpackType) and not isinstance(s, UnpackType): return meet_types(t, s) if isinstance(t, UnpackType) and isinstance(s, UnpackType): unpacked = get_proper_type(t.type) if isinstance(unpacked, TypeVarTupleType): fallback_type = unpacked.tuple_fallback.type elif isinstance(unpacked, TupleType): fallback_type = unpacked.partial_fallback.type else: assert isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" fallback_type = unpacked.type res = meet_types(t.type, s.type) if isinstance(res, UninhabitedType): res = Instance(fallback_type, [res]) return UnpackType(res) return UninhabitedType() def combine_similar_callables(t: CallableType, s: CallableType) -> CallableType: t, s = match_generic_callables(t, s) arg_types: list[Type] = [] for i in range(len(t.arg_types)): arg_types.append(safe_join(t.arg_types[i], s.arg_types[i])) # TODO kinds and argument names # TODO what should happen if one fallback is 'type' and the other is a user-provided metaclass? # The fallback type can be either 'function', 'type', or some user-provided metaclass. # The result should always use 'function' as a fallback if either operands are using it. if t.fallback.type.fullname == "builtins.function": fallback = t.fallback else: fallback = s.fallback return t.copy_modified( arg_types=arg_types, arg_names=combine_arg_names(t, s), ret_type=join_types(t.ret_type, s.ret_type), fallback=fallback, name=None, ) def combine_arg_names( t: CallableType | Parameters, s: CallableType | Parameters ) -> list[str | None]: """Produces a list of argument names compatible with both callables. For example, suppose 't' and 's' have the following signatures: - t: (a: int, b: str, X: str) -> None - s: (a: int, b: str, Y: str) -> None This function would return ["a", "b", None]. This information is then used above to compute the join of t and s, which results in a signature of (a: int, b: str, str) -> None. Note that the third argument's name is omitted and 't' and 's' are both valid subtypes of this inferred signature. Precondition: is_similar_types(t, s) is true. """ num_args = len(t.arg_types) new_names = [] for i in range(num_args): t_name = t.arg_names[i] s_name = s.arg_names[i] if t_name == s_name or t.arg_kinds[i].is_named() or s.arg_kinds[i].is_named(): new_names.append(t_name) else: new_names.append(None) return new_names def object_from_instance(instance: Instance) -> Instance: """Construct the type 'builtins.object' from an instance type.""" # Use the fact that 'object' is always the last class in the mro. res = Instance(instance.type.mro[-1], []) return res def object_or_any_from_type(typ: ProperType) -> ProperType: # Similar to object_from_instance() but tries hard for all types. # TODO: find a better way to get object, or make this more reliable. if isinstance(typ, Instance): return object_from_instance(typ) elif isinstance(typ, (CallableType, TypedDictType, LiteralType)): return object_from_instance(typ.fallback) elif isinstance(typ, TupleType): return object_from_instance(typ.partial_fallback) elif isinstance(typ, TypeType): return object_or_any_from_type(typ.item) elif isinstance(typ, TypeVarLikeType) and isinstance(typ.upper_bound, ProperType): return object_or_any_from_type(typ.upper_bound) elif isinstance(typ, UnionType): for item in typ.items: if isinstance(item, ProperType): candidate = object_or_any_from_type(item) if isinstance(candidate, Instance): return candidate elif isinstance(typ, UnpackType): object_or_any_from_type(get_proper_type(typ.type)) return AnyType(TypeOfAny.implementation_artifact) def join_type_list(types: Sequence[Type]) -> Type: if not types: # This is a little arbitrary but reasonable. Any empty tuple should be compatible # with all variable length tuples, and this makes it possible. return UninhabitedType() joined = types[0] for t in types[1:]: joined = join_types(joined, t) return joined def unpack_callback_protocol(t: Instance) -> ProperType | None: assert t.type.is_protocol if t.type.protocol_members == ["__call__"]: return get_proper_type(find_member("__call__", t, t, is_operator=True)) return None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/literals.py0000644000175100017510000002220115112307767015443 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterable from typing import Any, Final, Optional from typing_extensions import TypeAlias as _TypeAlias from mypy.nodes import ( LITERAL_NO, LITERAL_TYPE, LITERAL_YES, AssertTypeExpr, AssignmentExpr, AwaitExpr, BytesExpr, CallExpr, CastExpr, ComparisonExpr, ComplexExpr, ConditionalExpr, DictExpr, DictionaryComprehension, EllipsisExpr, EnumCallExpr, Expression, FloatExpr, GeneratorExpr, IndexExpr, IntExpr, LambdaExpr, ListComprehension, ListExpr, MemberExpr, NamedTupleExpr, NameExpr, NewTypeExpr, OpExpr, ParamSpecExpr, PromoteExpr, RevealExpr, SetComprehension, SetExpr, SliceExpr, StarExpr, StrExpr, SuperExpr, TempNode, TupleExpr, TypeAliasExpr, TypeApplication, TypedDictExpr, TypeFormExpr, TypeVarExpr, TypeVarTupleExpr, UnaryExpr, Var, YieldExpr, YieldFromExpr, ) from mypy.visitor import ExpressionVisitor # [Note Literals and literal_hash] # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # # Mypy uses the term "literal" to refer to any expression built out of # the following: # # * Plain literal expressions, like `1` (integer, float, string, etc.) # # * Compound literal expressions, like `(lit1, lit2)` (list, dict, # set, or tuple) # # * Operator expressions, like `lit1 + lit2` # # * Variable references, like `x` # # * Member references, like `lit.m` # # * Index expressions, like `lit[0]` # # A typical "literal" looks like `x[(i,j+1)].m`. # # An expression that is a literal has a `literal_hash`, with the # following properties. # # * `literal_hash` is a Key: a tuple containing basic data types and # possibly other Keys. So it can be used as a key in a dictionary # that will be compared by value (as opposed to the Node itself, # which is compared by identity). # # * Two expressions have equal `literal_hash`es if and only if they # are syntactically equal expressions. (NB: Actually, we also # identify as equal expressions like `3` and `3.0`; is this a good # idea?) # # * The elements of `literal_hash` that are tuples are exactly the # subexpressions of the original expression (e.g. the base and index # of an index expression, or the operands of an operator expression). Key: _TypeAlias = tuple[Any, ...] def literal_hash(e: Expression) -> Key | None: """Generate a hashable, (mostly) opaque key for expressions supported by the binder. These allow using expressions as dictionary keys based on structural/value matching (instead of based on expression identity). Return None if the expression type is not supported (it cannot be narrowed). See the comment above for more information. NOTE: This is not directly related to literal types. """ return e.accept(_hasher) def literal(e: Expression) -> int: """Return the literal kind for an expression.""" if isinstance(e, ComparisonExpr): return min(literal(o) for o in e.operands) elif isinstance(e, OpExpr): return min(literal(e.left), literal(e.right)) elif isinstance(e, (MemberExpr, UnaryExpr, StarExpr)): return literal(e.expr) elif isinstance(e, AssignmentExpr): return literal(e.target) elif isinstance(e, IndexExpr): if literal(e.index) == LITERAL_YES: return literal(e.base) else: return LITERAL_NO elif isinstance(e, NameExpr): if isinstance(e.node, Var) and e.node.is_final and e.node.final_value is not None: return LITERAL_YES return LITERAL_TYPE if isinstance(e, (IntExpr, FloatExpr, ComplexExpr, StrExpr, BytesExpr)): return LITERAL_YES if literal_hash(e): return LITERAL_YES return LITERAL_NO def subkeys(key: Key) -> Iterable[Key]: return [elt for elt in key if isinstance(elt, tuple)] def extract_var_from_literal_hash(key: Key) -> Var | None: """If key refers to a Var node, return it. Return None otherwise. """ if len(key) == 2 and key[0] == "Var" and isinstance(key[1], Var): return key[1] return None class _Hasher(ExpressionVisitor[Optional[Key]]): def visit_int_expr(self, e: IntExpr) -> Key: return ("Literal", e.value) def visit_str_expr(self, e: StrExpr) -> Key: return ("Literal", e.value) def visit_bytes_expr(self, e: BytesExpr) -> Key: return ("Literal", e.value) def visit_float_expr(self, e: FloatExpr) -> Key: return ("Literal", e.value) def visit_complex_expr(self, e: ComplexExpr) -> Key: return ("Literal", e.value) def visit_star_expr(self, e: StarExpr) -> Key: return ("Star", literal_hash(e.expr)) def visit_name_expr(self, e: NameExpr) -> Key: if isinstance(e.node, Var) and e.node.is_final and e.node.final_value is not None: return ("Literal", e.node.final_value) # N.B: We use the node itself as the key, and not the name, # because using the name causes issues when there is shadowing # (for example, in list comprehensions). return ("Var", e.node) def visit_member_expr(self, e: MemberExpr) -> Key: return ("Member", literal_hash(e.expr), e.name) def visit_op_expr(self, e: OpExpr) -> Key: return ("Binary", e.op, literal_hash(e.left), literal_hash(e.right)) def visit_comparison_expr(self, e: ComparisonExpr) -> Key: rest: tuple[str | Key | None, ...] = tuple(e.operators) rest += tuple(literal_hash(o) for o in e.operands) return ("Comparison",) + rest def visit_unary_expr(self, e: UnaryExpr) -> Key: return ("Unary", e.op, literal_hash(e.expr)) def seq_expr(self, e: ListExpr | TupleExpr | SetExpr, name: str) -> Key | None: if all(literal(x) == LITERAL_YES for x in e.items): rest: tuple[Key | None, ...] = tuple(literal_hash(x) for x in e.items) return (name,) + rest return None def visit_list_expr(self, e: ListExpr) -> Key | None: return self.seq_expr(e, "List") def visit_dict_expr(self, e: DictExpr) -> Key | None: if all(a and literal(a) == literal(b) == LITERAL_YES for a, b in e.items): rest: tuple[Key | None, ...] = tuple( (literal_hash(a) if a else None, literal_hash(b)) for a, b in e.items ) return ("Dict",) + rest return None def visit_tuple_expr(self, e: TupleExpr) -> Key | None: return self.seq_expr(e, "Tuple") def visit_set_expr(self, e: SetExpr) -> Key | None: return self.seq_expr(e, "Set") def visit_index_expr(self, e: IndexExpr) -> Key | None: if literal(e.index) == LITERAL_YES: return ("Index", literal_hash(e.base), literal_hash(e.index)) return None def visit_assignment_expr(self, e: AssignmentExpr) -> Key | None: return literal_hash(e.target) def visit_call_expr(self, e: CallExpr) -> None: return None def visit_slice_expr(self, e: SliceExpr) -> None: return None def visit_cast_expr(self, e: CastExpr) -> None: return None def visit_type_form_expr(self, e: TypeFormExpr) -> None: return None def visit_assert_type_expr(self, e: AssertTypeExpr) -> None: return None def visit_conditional_expr(self, e: ConditionalExpr) -> None: return None def visit_ellipsis(self, e: EllipsisExpr) -> None: return None def visit_yield_from_expr(self, e: YieldFromExpr) -> None: return None def visit_yield_expr(self, e: YieldExpr) -> None: return None def visit_reveal_expr(self, e: RevealExpr) -> None: return None def visit_super_expr(self, e: SuperExpr) -> None: return None def visit_type_application(self, e: TypeApplication) -> None: return None def visit_lambda_expr(self, e: LambdaExpr) -> None: return None def visit_list_comprehension(self, e: ListComprehension) -> None: return None def visit_set_comprehension(self, e: SetComprehension) -> None: return None def visit_dictionary_comprehension(self, e: DictionaryComprehension) -> None: return None def visit_generator_expr(self, e: GeneratorExpr) -> None: return None def visit_type_var_expr(self, e: TypeVarExpr) -> None: return None def visit_paramspec_expr(self, e: ParamSpecExpr) -> None: return None def visit_type_var_tuple_expr(self, e: TypeVarTupleExpr) -> None: return None def visit_type_alias_expr(self, e: TypeAliasExpr) -> None: return None def visit_namedtuple_expr(self, e: NamedTupleExpr) -> None: return None def visit_enum_call_expr(self, e: EnumCallExpr) -> None: return None def visit_typeddict_expr(self, e: TypedDictExpr) -> None: return None def visit_newtype_expr(self, e: NewTypeExpr) -> None: return None def visit__promote_expr(self, e: PromoteExpr) -> None: return None def visit_await_expr(self, e: AwaitExpr) -> None: return None def visit_temp_node(self, e: TempNode) -> None: return None _hasher: Final = _Hasher() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/lookup.py0000644000175100017510000000426415112307767015146 0ustar00runnerrunner""" This is a module for various lookup functions: functions that will find a semantic node by its name. """ from __future__ import annotations from mypy.nodes import MypyFile, SymbolTableNode, TypeInfo # TODO: gradually move existing lookup functions to this module. def lookup_fully_qualified( name: str, modules: dict[str, MypyFile], *, raise_on_missing: bool = False ) -> SymbolTableNode | None: """Find a symbol using it fully qualified name. The algorithm has two steps: first we try splitting the name on '.' to find the module, then iteratively look for each next chunk after a '.' (e.g. for nested classes). This function should *not* be used to find a module. Those should be looked in the modules dictionary. """ # 1. Exclude the names of ad hoc instance intersections from step 2. i = name.find(" os.stat_result: try: st = orig_stat(path) except OSError as err: print(f"stat({path!r}) -> {err}") raise else: print( "stat(%r) -> (st_mode=%o, st_mtime=%d, st_size=%d)" % (path, st.st_mode, st.st_mtime, st.st_size) ) return st def main( *, args: list[str] | None = None, stdout: TextIO = sys.stdout, stderr: TextIO = sys.stderr, clean_exit: bool = False, ) -> None: """Main entry point to the type checker. Args: args: Custom command-line arguments. If not given, sys.argv[1:] will be used. clean_exit: Don't hard kill the process on exit. This allows catching SystemExit. """ util.check_python_version("mypy") t0 = time.time() # To log stat() calls: os.stat = stat_proxy sys.setrecursionlimit(RECURSION_LIMIT) if args is None: args = sys.argv[1:] # Write an escape sequence instead of raising an exception on encoding errors. if isinstance(stdout, TextIOWrapper) and stdout.errors == "strict": stdout.reconfigure(errors="backslashreplace") fscache = FileSystemCache() sources, options = process_options(args, stdout=stdout, stderr=stderr, fscache=fscache) if clean_exit: options.fast_exit = False formatter = util.FancyFormatter( stdout, stderr, options.hide_error_codes, hide_success=bool(options.output) ) if options.allow_redefinition_new and not options.local_partial_types: fail( "error: --local-partial-types must be enabled if using --allow-redefinition-new", stderr, options, ) if options.install_types and (stdout is not sys.stdout or stderr is not sys.stderr): # Since --install-types performs user input, we want regular stdout and stderr. fail("error: --install-types not supported in this mode of running mypy", stderr, options) if options.non_interactive and not options.install_types: fail("error: --non-interactive is only supported with --install-types", stderr, options) if options.install_types and not options.incremental: fail( "error: --install-types not supported with incremental mode disabled", stderr, options ) if options.install_types and options.python_executable is None: fail( "error: --install-types not supported without python executable or site packages", stderr, options, ) if options.install_types and not sources: install_types(formatter, options, non_interactive=options.non_interactive) return res, messages, blockers = run_build(sources, options, fscache, t0, stdout, stderr) if options.non_interactive: missing_pkgs = read_types_packages_to_install(options.cache_dir, after_run=True) if missing_pkgs: # Install missing type packages and rerun build. install_types(formatter, options, after_run=True, non_interactive=True) fscache.flush() print() res, messages, blockers = run_build(sources, options, fscache, t0, stdout, stderr) show_messages(messages, stderr, formatter, options) if MEM_PROFILE: from mypy.memprofile import print_memory_profile print_memory_profile() code = 0 n_errors, n_notes, n_files = util.count_stats(messages) if messages and n_notes < len(messages): code = 2 if blockers else 1 if options.error_summary: if n_errors: summary = formatter.format_error( n_errors, n_files, len(sources), blockers=blockers, use_color=options.color_output ) stdout.write(summary + "\n") # Only notes should also output success elif not messages or n_notes == len(messages): stdout.write(formatter.format_success(len(sources), options.color_output) + "\n") stdout.flush() if options.install_types and not options.non_interactive: result = install_types(formatter, options, after_run=True, non_interactive=False) if result: print() print("note: Run mypy again for up-to-date results with installed types") code = 2 if options.fast_exit: # Exit without freeing objects -- it's faster. # # NOTE: We don't flush all open files on exit (or run other destructors)! util.hard_exit(code) elif code: sys.exit(code) # HACK: keep res alive so that mypyc won't free it before the hard_exit list([res]) # noqa: C410 def run_build( sources: list[BuildSource], options: Options, fscache: FileSystemCache, t0: float, stdout: TextIO, stderr: TextIO, ) -> tuple[build.BuildResult | None, list[str], bool]: formatter = util.FancyFormatter( stdout, stderr, options.hide_error_codes, hide_success=bool(options.output) ) messages = [] messages_by_file = defaultdict(list) def flush_errors(filename: str | None, new_messages: list[str], serious: bool) -> None: if options.pretty: new_messages = formatter.fit_in_terminal(new_messages) messages.extend(new_messages) if new_messages: messages_by_file[filename].extend(new_messages) if options.non_interactive: # Collect messages and possibly show them later. return f = stderr if serious else stdout show_messages(new_messages, f, formatter, options) serious = False blockers = False res = None try: # Keep a dummy reference (res) for memory profiling afterwards, as otherwise # the result could be freed. res = build.build(sources, options, None, flush_errors, fscache, stdout, stderr) except CompileError as e: blockers = True if not e.use_stdout: serious = True if ( options.warn_unused_configs and options.unused_configs and not options.incremental and not options.non_interactive ): print( "Warning: unused section(s) in {}: {}".format( options.config_file, get_config_module_names( options.config_file, [ glob for glob in options.per_module_options.keys() if glob in options.unused_configs ], ), ), file=stderr, ) maybe_write_junit_xml(time.time() - t0, serious, messages, messages_by_file, options) return res, messages, blockers def show_messages( messages: list[str], f: TextIO, formatter: util.FancyFormatter, options: Options ) -> None: for msg in messages: if options.color_output: msg = formatter.colorize(msg) f.write(msg + "\n") f.flush() # Make the help output a little less jarring. class AugmentedHelpFormatter(argparse.RawDescriptionHelpFormatter): def __init__(self, prog: str, **kwargs: Any) -> None: super().__init__(prog=prog, max_help_position=28, **kwargs) def _fill_text(self, text: str, width: int, indent: str) -> str: if "\n" in text: # Assume we want to manually format the text return super()._fill_text(text, width, indent) # Format the text like argparse, but overflow rather than # breaking long words (like URLs) text = self._whitespace_matcher.sub(" ", text).strip() import textwrap return textwrap.fill( text, width, initial_indent=indent, subsequent_indent=indent, break_on_hyphens=False, break_long_words=False, ) # Define pairs of flag prefixes with inverse meaning. flag_prefix_pairs: Final = [("allow", "disallow"), ("show", "hide")] flag_prefix_map: Final[dict[str, str]] = {} for a, b in flag_prefix_pairs: flag_prefix_map[a] = b flag_prefix_map[b] = a def invert_flag_name(flag: str) -> str: split = flag[2:].split("-", 1) if len(split) == 2: prefix, rest = split if prefix in flag_prefix_map: return f"--{flag_prefix_map[prefix]}-{rest}" elif prefix == "no": return f"--{rest}" return f"--no-{flag[2:]}" class PythonExecutableInferenceError(Exception): """Represents a failure to infer the version or executable while searching.""" def python_executable_prefix(v: str) -> list[str]: if sys.platform == "win32": # on Windows, all Python executables are named `python`. To handle this, there # is the `py` launcher, which can be passed a version e.g. `py -3.8`, and it will # execute an installed Python 3.8 interpreter. See also: # https://docs.python.org/3/using/windows.html#python-launcher-for-windows return ["py", f"-{v}"] else: return [f"python{v}"] def _python_executable_from_version(python_version: tuple[int, int]) -> str: if sys.version_info[:2] == python_version: return sys.executable str_ver = ".".join(map(str, python_version)) try: sys_exe = ( subprocess.check_output( python_executable_prefix(str_ver) + ["-c", "import sys; print(sys.executable)"], stderr=subprocess.STDOUT, ) .decode() .strip() ) return sys_exe except (subprocess.CalledProcessError, FileNotFoundError) as e: raise PythonExecutableInferenceError( "failed to find a Python executable matching version {}," " perhaps try --python-executable, or --no-site-packages?".format(python_version) ) from e def infer_python_executable(options: Options, special_opts: argparse.Namespace) -> None: """Infer the Python executable from the given version. This function mutates options based on special_opts to infer the correct Python executable to use. """ # TODO: (ethanhs) Look at folding these checks and the site packages subprocess calls into # one subprocess call for speed. # Use the command line specified executable, or fall back to one set in the # config file. If an executable is not specified, infer it from the version # (unless no_executable is set) python_executable = special_opts.python_executable or options.python_executable if python_executable is None: if not special_opts.no_executable and not options.no_site_packages: python_executable = _python_executable_from_version(options.python_version) options.python_executable = python_executable HEADER: Final = """%(prog)s [-h] [-v] [-V] [more options; see below] [-m MODULE] [-p PACKAGE] [-c PROGRAM_TEXT] [files ...]""" DESCRIPTION: Final = """ Mypy is a program that will type check your Python code. Pass in any files or folders you want to type check. Mypy will recursively traverse any provided folders to find .py files: $ mypy my_program.py my_src_folder For more information on getting started, see: - https://mypy.readthedocs.io/en/stable/getting_started.html For more details on both running mypy and using the flags below, see: - https://mypy.readthedocs.io/en/stable/running_mypy.html - https://mypy.readthedocs.io/en/stable/command_line.html You can also use a config file to configure mypy instead of using command line flags. For more details, see: - https://mypy.readthedocs.io/en/stable/config_file.html """ FOOTER: Final = """Environment variables: Define MYPYPATH for additional module search path entries. Define MYPY_CACHE_DIR to override configuration cache_dir path.""" class CapturableArgumentParser(argparse.ArgumentParser): """Override ArgumentParser methods that use sys.stdout/sys.stderr directly. This is needed because hijacking sys.std* is not thread-safe, yet output must be captured to properly support mypy.api.run. """ def __init__(self, *args: Any, **kwargs: Any) -> None: self.stdout = kwargs.pop("stdout", sys.stdout) self.stderr = kwargs.pop("stderr", sys.stderr) super().__init__(*args, **kwargs) # ===================== # Help-printing methods # ===================== def print_usage(self, file: SupportsWrite[str] | None = None) -> None: if file is None: file = self.stdout self._print_message(self.format_usage(), file) def print_help(self, file: SupportsWrite[str] | None = None) -> None: if file is None: file = self.stdout self._print_message(self.format_help(), file) def _print_message(self, message: str, file: SupportsWrite[str] | None = None) -> None: if message: if file is None: file = self.stderr file.write(message) # =============== # Exiting methods # =============== def exit(self, status: int = 0, message: str | None = None) -> NoReturn: if message: self._print_message(message, self.stderr) sys.exit(status) def error(self, message: str) -> NoReturn: """error(message: string) Prints a usage message incorporating the message to stderr and exits. If you override this in a subclass, it should not return -- it should either exit or raise an exception. """ self.print_usage(self.stderr) args = {"prog": self.prog, "message": message} self.exit(2, gettext("%(prog)s: error: %(message)s\n") % args) class CapturableVersionAction(argparse.Action): """Supplement CapturableArgumentParser to handle --version. This is nearly identical to argparse._VersionAction except, like CapturableArgumentParser, it allows output to be captured. Another notable difference is that version is mandatory. This allows removing a line in __call__ that falls back to parser.version (which does not appear to exist). """ def __init__( self, option_strings: Sequence[str], version: str, dest: str = argparse.SUPPRESS, default: str = argparse.SUPPRESS, help: str = "show program's version number and exit", stdout: IO[str] | None = None, ) -> None: super().__init__( option_strings=option_strings, dest=dest, default=default, nargs=0, help=help ) self.version = version self.stdout = stdout or sys.stdout def __call__( self, parser: argparse.ArgumentParser, namespace: argparse.Namespace, values: str | Sequence[Any] | None, option_string: str | None = None, ) -> NoReturn: formatter = parser._get_formatter() formatter.add_text(self.version) parser._print_message(formatter.format_help(), self.stdout) parser.exit() def define_options( program: str = "mypy", header: str = HEADER, stdout: TextIO = sys.stdout, stderr: TextIO = sys.stderr, server_options: bool = False, ) -> tuple[CapturableArgumentParser, list[str], list[tuple[str, bool]]]: """Define the options in the parser (by calling a bunch of methods that express/build our desired command-line flags). Returns a tuple of: a parser object, that can parse command line arguments to mypy (expected consumer: main's process_options), a list of what flags are strict (expected consumer: docs' html_builder's _add_strict_list), strict_flag_assignments (expected consumer: main's process_options).""" parser = CapturableArgumentParser( prog=program, usage=header, description=DESCRIPTION, epilog=FOOTER, fromfile_prefix_chars="@", formatter_class=AugmentedHelpFormatter, add_help=False, stdout=stdout, stderr=stderr, ) strict_flag_names: list[str] = [] strict_flag_assignments: list[tuple[str, bool]] = [] def add_invertible_flag( flag: str, *, inverse: str | None = None, default: bool, dest: str | None = None, help: str, strict_flag: bool = False, group: argparse._ActionsContainer | None = None, ) -> None: if inverse is None: inverse = invert_flag_name(flag) if group is None: group = parser if help is not argparse.SUPPRESS: help += f" (inverse: {inverse})" arg = group.add_argument( flag, action="store_false" if default else "store_true", dest=dest, help=help ) dest = arg.dest group.add_argument( inverse, action="store_true" if default else "store_false", dest=dest, help=argparse.SUPPRESS, ) if strict_flag: assert dest is not None strict_flag_names.append(flag) strict_flag_assignments.append((dest, not default)) # Unless otherwise specified, arguments will be parsed directly onto an # Options object. Options that require further processing should have # their `dest` prefixed with `special-opts:`, which will cause them to be # parsed into the separate special_opts namespace object. # Our style guide for formatting the output of running `mypy --help`: # Flags: # 1. The flag help text should start with a capital letter but never end with a period. # 2. Keep the flag help text brief -- ideally just a single sentence. # 3. All flags must be a part of a group, unless the flag is deprecated or suppressed. # 4. Avoid adding new flags to the "miscellaneous" groups -- instead add them to an # existing group or, if applicable, create a new group. Feel free to move existing # flags to a new group: just be sure to also update the documentation to match. # # Groups: # 1. The group title and description should start with a capital letter. # 2. The first sentence of a group description should be written in the bare infinitive. # Tip: try substituting the group title and description into the following sentence: # > {group_title}: these flags will {group_description} # Feel free to add subsequent sentences that add additional details. # 3. If you cannot think of a meaningful description for a new group, omit it entirely. # (E.g. see the "miscellaneous" sections). # 4. The text of the group description should end with a period, optionally followed # by a documentation reference (URL). # 5. If you want to include a documentation reference, place it at the end of the # description. Feel free to open with a brief reference ("See also:", "For more # information:", etc.), followed by a space, then the entire URL including # "https://" scheme identifier and fragment ("#some-target-heading"), if any. # Do not end with a period (or any other characters not part of the URL). # URLs longer than the available terminal width will overflow without being # broken apart. This facilitates both URL detection, and manual copy-pasting. general_group = parser.add_argument_group(title="Optional arguments") general_group.add_argument( "-h", "--help", action="help", help="Show this help message and exit" ) general_group.add_argument( "-v", "--verbose", action="count", dest="verbosity", help="More verbose messages" ) compilation_status = "no" if __file__.endswith(".py") else "yes" general_group.add_argument( "-V", "--version", action=CapturableVersionAction, version="%(prog)s " + __version__ + f" (compiled: {compilation_status})", help="Show program's version number and exit", stdout=stdout, ) general_group.add_argument( "-O", "--output", metavar="FORMAT", help="Set a custom output format", choices=OUTPUT_CHOICES, ) config_group = parser.add_argument_group( title="Config file", description="Use a config file instead of command line arguments. " "This is useful if you are using many flags or want " "to set different options per each module.", ) config_group.add_argument( "--config-file", help=( f"Configuration file, must have a [mypy] section " f"(defaults to {', '.join(defaults.CONFIG_NAMES + defaults.SHARED_CONFIG_NAMES)})" ), ) add_invertible_flag( "--warn-unused-configs", default=False, strict_flag=True, help="Warn about unused '[mypy-]' or '[[tool.mypy.overrides]]' config sections", group=config_group, ) imports_group = parser.add_argument_group( title="Import discovery", description="Configure how imports are discovered and followed." ) add_invertible_flag( "--no-namespace-packages", dest="namespace_packages", default=True, help="Disable support for namespace packages (PEP 420, __init__.py-less)", group=imports_group, ) imports_group.add_argument( "--ignore-missing-imports", action="store_true", help="Silently ignore imports of missing modules", ) imports_group.add_argument( "--follow-untyped-imports", action="store_true", help="Typecheck modules without stubs or py.typed marker", ) imports_group.add_argument( "--follow-imports", choices=["normal", "silent", "skip", "error"], default="normal", help="How to treat imports (default normal)", ) imports_group.add_argument( "--python-executable", action="store", metavar="EXECUTABLE", help="Python executable used for finding PEP 561 compliant installed packages and stubs", dest="special-opts:python_executable", ) imports_group.add_argument( "--no-site-packages", action="store_true", dest="special-opts:no_executable", help="Do not search for installed PEP 561 compliant packages", ) imports_group.add_argument( "--no-silence-site-packages", action="store_true", help="Do not silence errors in PEP 561 compliant installed packages", ) platform_group = parser.add_argument_group( title="Platform configuration", description="Type check code assuming it will be run under certain " "runtime conditions. By default, mypy assumes your code " "will be run using the same operating system and Python " "version you are using to run mypy itself.", ) platform_group.add_argument( "--python-version", type=parse_version, metavar="x.y", help="Type check code assuming it will be running on Python x.y", dest="special-opts:python_version", ) platform_group.add_argument( "--platform", action="store", metavar="PLATFORM", help="Type check special-cased code for the given OS platform (defaults to sys.platform)", ) platform_group.add_argument( "--always-true", metavar="NAME", action="append", default=[], help="Additional variable to be considered True (may be repeated)", ) platform_group.add_argument( "--always-false", metavar="NAME", action="append", default=[], help="Additional variable to be considered False (may be repeated)", ) disallow_any_group = parser.add_argument_group( title="Disallow dynamic typing", description="Disallow the use of the dynamic 'Any' type under certain conditions.", ) disallow_any_group.add_argument( "--disallow-any-expr", default=False, action="store_true", help="Disallow all expressions that have type Any", ) disallow_any_group.add_argument( "--disallow-any-decorated", default=False, action="store_true", help="Disallow functions that have Any in their signature after decorator transformation", ) disallow_any_group.add_argument( "--disallow-any-explicit", default=False, action="store_true", help="Disallow explicit Any in type positions", ) add_invertible_flag( "--disallow-any-generics", default=False, strict_flag=True, help="Disallow usage of generic types that do not specify explicit type parameters", group=disallow_any_group, ) add_invertible_flag( "--disallow-any-unimported", default=False, help="Disallow Any types resulting from unfollowed imports", group=disallow_any_group, ) add_invertible_flag( "--disallow-subclassing-any", default=False, strict_flag=True, help="Disallow subclassing values of type 'Any' when defining classes", group=disallow_any_group, ) untyped_group = parser.add_argument_group( title="Untyped definitions and calls", description="Configure how untyped definitions and calls are handled. " "Note: by default, mypy ignores any untyped function definitions " "and assumes any calls to such functions have a return " "type of 'Any'.", ) add_invertible_flag( "--disallow-untyped-calls", default=False, strict_flag=True, help="Disallow calling functions without type annotations" " from functions with type annotations", group=untyped_group, ) untyped_group.add_argument( "--untyped-calls-exclude", metavar="MODULE", action="append", default=[], help="Disable --disallow-untyped-calls for functions/methods coming" " from specific package, module, or class", ) add_invertible_flag( "--disallow-untyped-defs", default=False, strict_flag=True, help="Disallow defining functions without type annotations" " or with incomplete type annotations", group=untyped_group, ) add_invertible_flag( "--disallow-incomplete-defs", default=False, strict_flag=True, help="Disallow defining functions with incomplete type annotations " "(while still allowing entirely unannotated definitions)", group=untyped_group, ) add_invertible_flag( "--check-untyped-defs", default=False, strict_flag=True, help="Type check the interior of functions without type annotations", group=untyped_group, ) add_invertible_flag( "--disallow-untyped-decorators", default=False, strict_flag=True, help="Disallow decorating typed functions with untyped decorators", group=untyped_group, ) none_group = parser.add_argument_group( title="None and Optional handling", description="Adjust how values of type 'None' are handled. For more context on " "how mypy handles values of type 'None', see: " "https://mypy.readthedocs.io/en/stable/kinds_of_types.html#optional-types-and-the-none-type", ) add_invertible_flag( "--implicit-optional", default=False, help="Assume arguments with default values of None are Optional", group=none_group, ) none_group.add_argument("--strict-optional", action="store_true", help=argparse.SUPPRESS) none_group.add_argument( "--no-strict-optional", action="store_false", dest="strict_optional", help="Disable strict Optional checks (inverse: --strict-optional)", ) # This flag is deprecated, Mypy only supports Python 3.9+ add_invertible_flag( "--force-uppercase-builtins", default=False, help=argparse.SUPPRESS, group=none_group ) add_invertible_flag( "--force-union-syntax", default=False, help=argparse.SUPPRESS, group=none_group ) lint_group = parser.add_argument_group( title="Configuring warnings", description="Detect code that is sound but redundant or problematic.", ) add_invertible_flag( "--warn-redundant-casts", default=False, strict_flag=True, help="Warn about casting an expression to its inferred type", group=lint_group, ) add_invertible_flag( "--warn-unused-ignores", default=False, strict_flag=True, help="Warn about unneeded '# type: ignore' comments", group=lint_group, ) add_invertible_flag( "--no-warn-no-return", dest="warn_no_return", default=True, help="Do not warn about functions that end without returning", group=lint_group, ) add_invertible_flag( "--warn-return-any", default=False, strict_flag=True, help="Warn about returning values of type Any from non-Any typed functions", group=lint_group, ) add_invertible_flag( "--warn-unreachable", default=False, strict_flag=False, help="Warn about statements or expressions inferred to be unreachable", group=lint_group, ) add_invertible_flag( "--report-deprecated-as-note", default=False, strict_flag=False, help="Report importing or using deprecated features as notes instead of errors", group=lint_group, ) lint_group.add_argument( "--deprecated-calls-exclude", metavar="MODULE", action="append", default=[], help="Disable deprecated warnings for functions/methods coming" " from specific package, module, or class", ) # Note: this group is intentionally added here even though we don't add # --strict to this group near the end. # # That way, this group will appear after the various strictness groups # but before the remaining flags. # We add `--strict` near the end so we don't accidentally miss any strictness # flags that are added after this group. strictness_group = parser.add_argument_group(title="Miscellaneous strictness flags") add_invertible_flag( "--allow-untyped-globals", default=False, strict_flag=False, help="Suppress toplevel errors caused by missing annotations", group=strictness_group, ) add_invertible_flag( "--allow-redefinition", default=False, strict_flag=False, help="Allow restricted, unconditional variable redefinition with a new type", group=strictness_group, ) add_invertible_flag( "--allow-redefinition-new", default=False, strict_flag=False, help="Allow more flexible variable redefinition semantics (experimental)", group=strictness_group, ) add_invertible_flag( "--no-implicit-reexport", default=True, strict_flag=True, dest="implicit_reexport", help="Treat imports as private unless aliased", group=strictness_group, ) add_invertible_flag( "--strict-equality", default=False, strict_flag=True, help="Prohibit equality, identity, and container checks for non-overlapping types " "(except `None`)", group=strictness_group, ) add_invertible_flag( "--strict-equality-for-none", default=False, strict_flag=False, help="Extend `--strict-equality` for `None` checks", group=strictness_group, ) add_invertible_flag( "--strict-bytes", default=False, strict_flag=True, help="Disable treating bytearray and memoryview as subtypes of bytes", group=strictness_group, ) add_invertible_flag( "--extra-checks", default=False, strict_flag=True, help="Enable additional checks that are technically correct but may be impractical " "in real code. For example, this prohibits partial overlap in TypedDict updates, " "and makes arguments prepended via Concatenate positional-only", group=strictness_group, ) strict_help = "Strict mode; enables the following flags: {}".format( ", ".join(strict_flag_names) ) strictness_group.add_argument( "--strict", action="store_true", dest="special-opts:strict", help=strict_help ) strictness_group.add_argument( "--disable-error-code", metavar="NAME", action="append", default=[], help="Disable a specific error code", ) strictness_group.add_argument( "--enable-error-code", metavar="NAME", action="append", default=[], help="Enable a specific error code", ) error_group = parser.add_argument_group( title="Configuring error messages", description="Adjust the amount of detail shown in error messages.", ) add_invertible_flag( "--show-error-context", default=False, dest="show_error_context", help='Precede errors with "note:" messages explaining context', group=error_group, ) add_invertible_flag( "--show-column-numbers", default=False, help="Show column numbers in error messages", group=error_group, ) add_invertible_flag( "--show-error-end", default=False, help="Show end line/end column numbers in error messages." " This implies --show-column-numbers", group=error_group, ) add_invertible_flag( "--hide-error-codes", default=False, help="Hide error codes in error messages", group=error_group, ) add_invertible_flag( "--show-error-code-links", default=False, help="Show links to error code documentation", group=error_group, ) add_invertible_flag( "--pretty", default=False, help="Use visually nicer output in error messages:" " Use soft word wrap, show source code snippets," " and show error location markers", group=error_group, ) add_invertible_flag( "--no-color-output", dest="color_output", default=True, help="Do not colorize error messages", group=error_group, ) add_invertible_flag( "--no-error-summary", dest="error_summary", default=True, help="Do not show error stats summary", group=error_group, ) add_invertible_flag( "--show-absolute-path", default=False, help="Show absolute paths to files", group=error_group, ) error_group.add_argument( "--soft-error-limit", default=defaults.MANY_ERRORS_THRESHOLD, type=int, dest="many_errors_threshold", help=argparse.SUPPRESS, ) incremental_group = parser.add_argument_group( title="Incremental mode", description="Adjust how mypy incrementally type checks and caches modules. " "Mypy caches type information about modules into a cache to " "let you speed up future invocations of mypy. Also see " "mypy's daemon mode: " "https://mypy.readthedocs.io/en/stable/mypy_daemon.html#mypy-daemon", ) incremental_group.add_argument( "-i", "--incremental", action="store_true", help=argparse.SUPPRESS ) incremental_group.add_argument( "--no-incremental", action="store_false", dest="incremental", help="Disable module cache (inverse: --incremental)", ) incremental_group.add_argument( "--cache-dir", action="store", metavar="DIR", help="Store module cache info in the given folder in incremental mode " "(defaults to '{}')".format(defaults.CACHE_DIR), ) add_invertible_flag( "--sqlite-cache", default=False, help="Use a sqlite database to store the cache", group=incremental_group, ) incremental_group.add_argument( "--cache-fine-grained", action="store_true", help="Include fine-grained dependency information in the cache for the mypy daemon", ) incremental_group.add_argument( "--fixed-format-cache", action="store_true", help="Use new fast and compact fixed format cache", ) incremental_group.add_argument( "--skip-version-check", action="store_true", help="Allow using cache written by older mypy version", ) incremental_group.add_argument( "--skip-cache-mtime-checks", action="store_true", help="Skip cache internal consistency checks based on mtime", ) internals_group = parser.add_argument_group( title="Advanced options", description="Debug and customize mypy internals." ) internals_group.add_argument("--pdb", action="store_true", help="Invoke pdb on fatal error") internals_group.add_argument( "--show-traceback", "--tb", action="store_true", help="Show traceback on fatal error" ) internals_group.add_argument( "--raise-exceptions", action="store_true", help="Raise exception on fatal error" ) internals_group.add_argument( "--custom-typing-module", metavar="MODULE", dest="custom_typing_module", help="Use a custom typing module", ) internals_group.add_argument( "--old-type-inference", action="store_true", help=argparse.SUPPRESS ) internals_group.add_argument( "--disable-expression-cache", action="store_true", help=argparse.SUPPRESS ) parser.add_argument( "--enable-incomplete-feature", action="append", metavar="{" + ",".join(sorted(INCOMPLETE_FEATURES)) + "}", help="Enable support of incomplete/experimental features for early preview", ) internals_group.add_argument( "--custom-typeshed-dir", metavar="DIR", help="Use the custom typeshed in DIR" ) add_invertible_flag( "--warn-incomplete-stub", default=False, help="Warn if missing type annotation in typeshed, only relevant with" " --disallow-untyped-defs or --disallow-incomplete-defs enabled", group=internals_group, ) internals_group.add_argument( "--shadow-file", nargs=2, metavar=("SOURCE_FILE", "SHADOW_FILE"), dest="shadow_file", action="append", help="When encountering SOURCE_FILE, read and type check " "the contents of SHADOW_FILE instead.", ) internals_group.add_argument("--fast-exit", action="store_true", help=argparse.SUPPRESS) internals_group.add_argument( "--no-fast-exit", action="store_false", dest="fast_exit", help=argparse.SUPPRESS ) # This flag is useful for mypy tests, where function bodies may be omitted. Plugin developers # may want to use this as well in their tests. add_invertible_flag( "--allow-empty-bodies", default=False, help=argparse.SUPPRESS, group=internals_group ) # This undocumented feature exports limited line-level dependency information. internals_group.add_argument("--export-ref-info", action="store_true", help=argparse.SUPPRESS) report_group = parser.add_argument_group( title="Report generation", description="Generate a report in the specified format." ) for report_type in sorted(defaults.REPORTER_NAMES): if report_type not in {"memory-xml"}: report_group.add_argument( f"--{report_type.replace('_', '-')}-report", metavar="DIR", dest=f"special-opts:{report_type}_report", ) # Undocumented mypyc feature: generate annotated HTML source file report_group.add_argument( "-a", dest="mypyc_annotation_file", type=str, default=None, help=argparse.SUPPRESS ) # Hidden mypyc feature: do not write any C files (keep existing ones and assume they exist). # This can be useful when debugging mypyc bugs. report_group.add_argument( "--skip-c-gen", dest="mypyc_skip_c_generation", action="store_true", help=argparse.SUPPRESS ) misc_group = parser.add_argument_group(title="Miscellaneous") misc_group.add_argument("--quickstart-file", help=argparse.SUPPRESS) misc_group.add_argument( "--junit-xml", metavar="JUNIT_XML_OUTPUT_FILE", help="Write a JUnit XML test result document with type checking results to the given file", ) misc_group.add_argument( "--junit-format", choices=["global", "per_file"], default="global", help="If --junit-xml is set, specifies format. global (default): single test with all errors; per_file: one test entry per file with failures", ) misc_group.add_argument( "--find-occurrences", metavar="CLASS.MEMBER", dest="special-opts:find_occurrences", help="Print out all usages of a class member (experimental)", ) misc_group.add_argument( "--scripts-are-modules", action="store_true", help="Script x becomes module x instead of __main__", ) add_invertible_flag( "--install-types", default=False, strict_flag=False, help="Install detected missing library stub packages using pip", group=misc_group, ) add_invertible_flag( "--non-interactive", default=False, strict_flag=False, help=( "Install stubs without asking for confirmation and hide " + "errors, with --install-types" ), group=misc_group, inverse="--interactive", ) if server_options: misc_group.add_argument( "--use-fine-grained-cache", action="store_true", help="Use the cache in fine-grained incremental mode", ) # hidden options parser.add_argument( "--stats", action="store_true", dest="dump_type_stats", help=argparse.SUPPRESS ) parser.add_argument( "--inferstats", action="store_true", dest="dump_inference_stats", help=argparse.SUPPRESS ) parser.add_argument("--dump-build-stats", action="store_true", help=argparse.SUPPRESS) # Dump timing stats for each processed file into the given output file parser.add_argument("--timing-stats", dest="timing_stats", help=argparse.SUPPRESS) # Dump per line type checking timing stats for each processed file into the given # output file. Only total time spent in each top level expression will be shown. # Times are show in microseconds. parser.add_argument( "--line-checking-stats", dest="line_checking_stats", help=argparse.SUPPRESS ) # --debug-cache will disable any cache-related compressions/optimizations, # which will make the cache writing process output pretty-printed JSON (which # is easier to debug). parser.add_argument("--debug-cache", action="store_true", help=argparse.SUPPRESS) # --dump-deps will dump all fine-grained dependencies to stdout parser.add_argument("--dump-deps", action="store_true", help=argparse.SUPPRESS) # --dump-graph will dump the contents of the graph of SCCs and exit. parser.add_argument("--dump-graph", action="store_true", help=argparse.SUPPRESS) # --semantic-analysis-only does exactly that. parser.add_argument("--semantic-analysis-only", action="store_true", help=argparse.SUPPRESS) # Some tests use this to tell mypy that we are running a test. parser.add_argument("--test-env", action="store_true", help=argparse.SUPPRESS) # --local-partial-types disallows partial types spanning module top level and a function # (implicitly defined in fine-grained incremental mode) add_invertible_flag("--local-partial-types", default=False, help=argparse.SUPPRESS) # --logical-deps adds some more dependencies that are not semantically needed, but # may be helpful to determine relative importance of classes and functions for overall # type precision in a code base. It also _removes_ some deps, so this flag should be never # used except for generating code stats. This also automatically enables --cache-fine-grained. # NOTE: This is an experimental option that may be modified or removed at any time. parser.add_argument("--logical-deps", action="store_true", help=argparse.SUPPRESS) # --bazel changes some behaviors for use with Bazel (https://bazel.build). parser.add_argument("--bazel", action="store_true", help=argparse.SUPPRESS) # --package-root adds a directory below which directories are considered # packages even without __init__.py. May be repeated. parser.add_argument( "--package-root", metavar="ROOT", action="append", default=[], help=argparse.SUPPRESS ) # --cache-map FILE ... gives a mapping from source files to cache files. # Each triple of arguments is a source file, a cache meta file, and a cache data file. # Modules not mentioned in the file will go through cache_dir. # Must be followed by another flag or by '--' (and then only file args may follow). parser.add_argument( "--cache-map", nargs="+", dest="special-opts:cache_map", help=argparse.SUPPRESS ) # --debug-serialize will run tree.serialize() even if cache generation is disabled. # Useful for mypy_primer to detect serialize errors earlier. parser.add_argument("--debug-serialize", action="store_true", help=argparse.SUPPRESS) parser.add_argument( "--disable-bytearray-promotion", action="store_true", help=argparse.SUPPRESS ) parser.add_argument( "--disable-memoryview-promotion", action="store_true", help=argparse.SUPPRESS ) # This flag is deprecated, it has been moved to --extra-checks parser.add_argument("--strict-concatenate", action="store_true", help=argparse.SUPPRESS) # options specifying code to check code_group = parser.add_argument_group( title="Running code", description="Specify the code you want to type check. For more details, see " "https://mypy.readthedocs.io/en/stable/running_mypy.html#running-mypy", ) add_invertible_flag( "--explicit-package-bases", default=False, help="Use current directory and MYPYPATH to determine module names of files passed", group=code_group, ) add_invertible_flag( "--fast-module-lookup", default=False, help=argparse.SUPPRESS, group=code_group ) code_group.add_argument( "--exclude", action="append", metavar="PATTERN", default=[], help=( "Regular expression to match file names, directory names or paths which mypy should " "ignore while recursively discovering files to check, e.g. --exclude '/setup\\.py$'. " "May be specified more than once, eg. --exclude a --exclude b" ), ) add_invertible_flag( "--exclude-gitignore", default=False, help=( "Use .gitignore file(s) to exclude files from checking " "(in addition to any explicit --exclude if present)" ), group=code_group, ) code_group.add_argument( "-m", "--module", action="append", metavar="MODULE", default=[], dest="special-opts:modules", help="Type-check module; can repeat for more modules", ) code_group.add_argument( "-p", "--package", action="append", metavar="PACKAGE", default=[], dest="special-opts:packages", help="Type-check package recursively; can be repeated", ) code_group.add_argument( "-c", "--command", action="append", metavar="PROGRAM_TEXT", dest="special-opts:command", help="Type-check program passed in as string", ) code_group.add_argument( metavar="files", nargs="*", dest="special-opts:files", help="Type-check given files or directories", ) return parser, strict_flag_names, strict_flag_assignments def process_options( args: list[str], stdout: TextIO | None = None, stderr: TextIO | None = None, require_targets: bool = True, server_options: bool = False, fscache: FileSystemCache | None = None, program: str = "mypy", header: str = HEADER, ) -> tuple[list[BuildSource], Options]: """Parse command line arguments. If a FileSystemCache is passed in, and package_root options are given, call fscache.set_package_root() to set the cache's package root. Returns a tuple of: a list of source files, an Options collected from flags. """ stdout = stdout if stdout is not None else sys.stdout stderr = stderr if stderr is not None else sys.stderr parser, _, strict_flag_assignments = define_options( program, header, stdout, stderr, server_options ) # Parse arguments once into a dummy namespace so we can get the # filename for the config file and know if the user requested all strict options. dummy = argparse.Namespace() parser.parse_args(args, dummy) config_file = dummy.config_file # Don't explicitly test if "config_file is not None" for this check. # This lets `--config-file=` (an empty string) be used to disable all config files. if config_file and not os.path.exists(config_file): parser.error(f"Cannot find config file '{config_file}'") options = Options() strict_option_set = False def set_strict_flags() -> None: nonlocal strict_option_set strict_option_set = True for dest, value in strict_flag_assignments: setattr(options, dest, value) # Parse config file first, so command line can override. parse_config_file(options, set_strict_flags, config_file, stdout, stderr) # Set strict flags before parsing (if strict mode enabled), so other command # line options can override. if getattr(dummy, "special-opts:strict"): set_strict_flags() # Override cache_dir if provided in the environment environ_cache_dir = os.getenv("MYPY_CACHE_DIR", "") if environ_cache_dir.strip(): options.cache_dir = environ_cache_dir options.cache_dir = os.path.expanduser(options.cache_dir) # Parse command line for real, using a split namespace. special_opts = argparse.Namespace() parser.parse_args(args, SplitNamespace(options, special_opts, "special-opts:")) # The python_version is either the default, which can be overridden via a config file, # or stored in special_opts and is passed via the command line. options.python_version = special_opts.python_version or options.python_version if options.python_version < (3,): parser.error( "Mypy no longer supports checking Python 2 code. " "Consider pinning to mypy<0.980 if you need to check Python 2 code." ) try: infer_python_executable(options, special_opts) except PythonExecutableInferenceError as e: parser.error(str(e)) if special_opts.no_executable or options.no_site_packages: options.python_executable = None # Paths listed in the config file will be ignored if any paths, modules or packages # are passed on the command line. if not (special_opts.files or special_opts.packages or special_opts.modules): if options.files: special_opts.files = options.files if options.packages: special_opts.packages = options.packages if options.modules: special_opts.modules = options.modules # Check for invalid argument combinations. if require_targets: code_methods = sum( bool(c) for c in [ special_opts.modules + special_opts.packages, special_opts.command, special_opts.files, ] ) if code_methods == 0 and not options.install_types: parser.error("Missing target module, package, files, or command.") elif code_methods > 1: parser.error("May only specify one of: module/package, files, or command.") if options.explicit_package_bases and not options.namespace_packages: parser.error( "Can only use --explicit-package-bases with --namespace-packages, since otherwise " "examining __init__.py's is sufficient to determine module names for files" ) # Check for overlapping `--always-true` and `--always-false` flags. overlap = set(options.always_true) & set(options.always_false) if overlap: parser.error( "You can't make a variable always true and always false (%s)" % ", ".join(sorted(overlap)) ) validate_package_allow_list(options.untyped_calls_exclude) validate_package_allow_list(options.deprecated_calls_exclude) options.process_incomplete_features(error_callback=parser.error, warning_callback=print) # Compute absolute path for custom typeshed (if present). if options.custom_typeshed_dir is not None: options.abs_custom_typeshed_dir = os.path.abspath(options.custom_typeshed_dir) # Set build flags. if special_opts.find_occurrences: _find_occurrences = tuple(special_opts.find_occurrences.split(".")) if len(_find_occurrences) < 2: parser.error("Can only find occurrences of class members.") if len(_find_occurrences) != 2: parser.error("Can only find occurrences of non-nested class members.") state.find_occurrences = _find_occurrences # Set reports. for flag, val in vars(special_opts).items(): if flag.endswith("_report") and val is not None: report_type = flag[:-7].replace("_", "-") report_dir = val options.report_dirs[report_type] = report_dir # Process --package-root. if options.package_root: process_package_roots(fscache, parser, options) # Process --cache-map. if special_opts.cache_map: if options.sqlite_cache: parser.error("--cache-map is incompatible with --sqlite-cache") process_cache_map(parser, special_opts, options) # Process --strict-bytes options.process_strict_bytes() # An explicitly specified cache_fine_grained implies local_partial_types # (because otherwise the cache is not compatible with dmypy) if options.cache_fine_grained: options.local_partial_types = True # Implicitly show column numbers if error location end is shown if options.show_error_end: options.show_column_numbers = True # Let logical_deps imply cache_fine_grained (otherwise the former is useless). if options.logical_deps: options.cache_fine_grained = True if options.strict_concatenate and not strict_option_set: print("Warning: --strict-concatenate is deprecated; use --extra-checks instead") if options.force_uppercase_builtins: print("Warning: --force-uppercase-builtins is deprecated; mypy only supports Python 3.9+") # Set target. if special_opts.modules + special_opts.packages: options.build_type = BuildType.MODULE sys_path, _ = get_search_dirs(options.python_executable) search_paths = SearchPaths( (os.getcwd(),), tuple(mypy_path() + options.mypy_path), tuple(sys_path), () ) targets = [] # TODO: use the same cache that the BuildManager will cache = FindModuleCache(search_paths, fscache, options) for p in special_opts.packages: if os.sep in p or os.altsep and os.altsep in p: fail(f"Package name '{p}' cannot have a slash in it.", stderr, options) p_targets = cache.find_modules_recursive(p) if not p_targets: reason = cache.find_module(p) if reason is ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS: fail( f"Package '{p}' cannot be type checked due to missing py.typed marker. See https://mypy.readthedocs.io/en/stable/installed_packages.html for more details", stderr, options, ) else: fail(f"Can't find package '{p}'", stderr, options) targets.extend(p_targets) for m in special_opts.modules: targets.append(BuildSource(None, m, None)) elif special_opts.command: options.build_type = BuildType.PROGRAM_TEXT targets = [BuildSource(None, None, "\n".join(special_opts.command))] else: try: targets = create_source_list(special_opts.files, options, fscache) # Variable named e2 instead of e to work around mypyc bug #620 # which causes issues when using the same variable to catch # exceptions of different types. except InvalidSourceList as e2: fail(str(e2), stderr, options) return targets, options def process_package_roots( fscache: FileSystemCache | None, parser: argparse.ArgumentParser, options: Options ) -> None: """Validate and normalize package_root.""" if fscache is None: parser.error("--package-root does not work here (no fscache)") assert fscache is not None # Since mypy doesn't know parser.error() raises. # Do some stuff with drive letters to make Windows happy (esp. tests). current_drive, _ = os.path.splitdrive(os.getcwd()) dot = os.curdir dotslash = os.curdir + os.sep dotdotslash = os.pardir + os.sep trivial_paths = {dot, dotslash} package_root = [] for root in options.package_root: if os.path.isabs(root): parser.error(f"Package root cannot be absolute: {root!r}") drive, root = os.path.splitdrive(root) if drive and drive != current_drive: parser.error(f"Package root must be on current drive: {drive + root!r}") # Empty package root is always okay. if root: root = os.path.relpath(root) # Normalize the heck out of it. if not root.endswith(os.sep): root = root + os.sep if root.startswith(dotdotslash): parser.error(f"Package root cannot be above current directory: {root!r}") if root in trivial_paths: root = "" package_root.append(root) options.package_root = package_root # Pass the package root on the filesystem cache. fscache.set_package_root(package_root) def process_cache_map( parser: argparse.ArgumentParser, special_opts: argparse.Namespace, options: Options ) -> None: """Validate cache_map and copy into options.cache_map.""" n = len(special_opts.cache_map) if n % 3 != 0: parser.error("--cache-map requires one or more triples (see source)") for i in range(0, n, 3): source, meta_file, data_file = special_opts.cache_map[i : i + 3] if source in options.cache_map: parser.error(f"Duplicate --cache-map source {source})") if not source.endswith(".py") and not source.endswith(".pyi"): parser.error(f"Invalid --cache-map source {source} (triple[0] must be *.py[i])") if not meta_file.endswith(".meta.json"): parser.error( "Invalid --cache-map meta_file %s (triple[1] must be *.meta.json)" % meta_file ) if not data_file.endswith(".data.json"): parser.error( "Invalid --cache-map data_file %s (triple[2] must be *.data.json)" % data_file ) options.cache_map[source] = (meta_file, data_file) def maybe_write_junit_xml( td: float, serious: bool, all_messages: list[str], messages_by_file: dict[str | None, list[str]], options: Options, ) -> None: if options.junit_xml: py_version = f"{options.python_version[0]}_{options.python_version[1]}" if options.junit_format == "global": util.write_junit_xml( td, serious, {None: all_messages} if all_messages else {}, options.junit_xml, py_version, options.platform, ) else: # per_file util.write_junit_xml( td, serious, messages_by_file, options.junit_xml, py_version, options.platform ) def fail(msg: str, stderr: TextIO, options: Options) -> NoReturn: """Fail with a serious error.""" stderr.write(f"{msg}\n") maybe_write_junit_xml( 0.0, serious=True, all_messages=[msg], messages_by_file={None: [msg]}, options=options ) sys.exit(2) def read_types_packages_to_install(cache_dir: str, after_run: bool) -> list[str]: if not os.path.isdir(cache_dir): if not after_run: sys.stderr.write( "error: Can't determine which types to install with no files to check " + "(and no cache from previous mypy run)\n" ) else: sys.stderr.write( "error: --install-types failed (an error blocked analysis of which types to install)\n" ) fnam = build.missing_stubs_file(cache_dir) if not os.path.isfile(fnam): # No missing stubs. return [] with open(fnam) as f: return [line.strip() for line in f] def install_types( formatter: util.FancyFormatter, options: Options, *, after_run: bool = False, non_interactive: bool = False, ) -> bool: """Install stub packages using pip if some missing stubs were detected.""" packages = read_types_packages_to_install(options.cache_dir, after_run) if not packages: # If there are no missing stubs, generate no output. return False if after_run and not non_interactive: print() print("Installing missing stub packages:") assert options.python_executable, "Python executable required to install types" cmd = [options.python_executable, "-m", "pip", "install"] + packages print(formatter.style(" ".join(cmd), "none", bold=True)) print() if not non_interactive: x = input("Install? [yN] ") if not x.strip() or not x.lower().startswith("y"): print(formatter.style("mypy: Skipping installation", "red", bold=True)) sys.exit(2) print() subprocess.run(cmd) return True ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/maptype.py0000644000175100017510000001035315112307767015310 0ustar00runnerrunnerfrom __future__ import annotations from mypy.expandtype import expand_type_by_instance from mypy.nodes import TypeInfo from mypy.types import AnyType, Instance, TupleType, TypeOfAny, has_type_vars def map_instance_to_supertype(instance: Instance, superclass: TypeInfo) -> Instance: """Produce a supertype of `instance` that is an Instance of `superclass`, mapping type arguments up the chain of bases. If `superclass` is not a nominal superclass of `instance.type`, then all type arguments are mapped to 'Any'. """ if instance.type == superclass: # Fast path: `instance` already belongs to `superclass`. return instance if superclass.fullname == "builtins.tuple" and instance.type.tuple_type: if has_type_vars(instance.type.tuple_type): # We special case mapping generic tuple types to tuple base, because for # such tuples fallback can't be calculated before applying type arguments. alias = instance.type.special_alias assert alias is not None if not alias._is_recursive: # Unfortunately we can't support this for generic recursive tuples. # If we skip this special casing we will fall back to tuple[Any, ...]. tuple_type = expand_type_by_instance(instance.type.tuple_type, instance) if isinstance(tuple_type, TupleType): # Make the import here to avoid cyclic imports. import mypy.typeops return mypy.typeops.tuple_fallback(tuple_type) elif isinstance(tuple_type, Instance): # This can happen after normalizing variadic tuples. return tuple_type if not superclass.type_vars: # Fast path: `superclass` has no type variables to map to. return Instance(superclass, []) return map_instance_to_supertypes(instance, superclass)[0] def map_instance_to_supertypes(instance: Instance, supertype: TypeInfo) -> list[Instance]: # FIX: Currently we should only have one supertype per interface, so no # need to return an array result: list[Instance] = [] for path in class_derivation_paths(instance.type, supertype): types = [instance] for sup in path: a: list[Instance] = [] for t in types: a.extend(map_instance_to_direct_supertypes(t, sup)) types = a result.extend(types) if result: return result else: # Nothing. Presumably due to an error. Construct a dummy using Any. any_type = AnyType(TypeOfAny.from_error) return [Instance(supertype, [any_type] * len(supertype.type_vars))] def class_derivation_paths(typ: TypeInfo, supertype: TypeInfo) -> list[list[TypeInfo]]: """Return an array of non-empty paths of direct base classes from type to supertype. Return [] if no such path could be found. InterfaceImplementationPaths(A, B) == [[B]] if A inherits B InterfaceImplementationPaths(A, C) == [[B, C]] if A inherits B and B inherits C """ # FIX: Currently we might only ever have a single path, so this could be # simplified result: list[list[TypeInfo]] = [] for base in typ.bases: btype = base.type if btype == supertype: result.append([btype]) else: # Try constructing a longer path via the base class. for path in class_derivation_paths(btype, supertype): result.append([btype] + path) return result def map_instance_to_direct_supertypes(instance: Instance, supertype: TypeInfo) -> list[Instance]: # FIX: There should only be one supertypes, always. typ = instance.type result: list[Instance] = [] for b in typ.bases: if b.type == supertype: t = expand_type_by_instance(b, instance) assert isinstance(t, Instance) result.append(t) if result: return result else: # Relationship with the supertype not specified explicitly. Use dynamic # type arguments implicitly. any_type = AnyType(TypeOfAny.unannotated) return [Instance(supertype, [any_type] * len(supertype.type_vars))] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/meet.py0000644000175100017510000015127615112307767014575 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy import join from mypy.erasetype import erase_type from mypy.maptype import map_instance_to_supertype from mypy.state import state from mypy.subtypes import ( are_parameters_compatible, find_member, is_callable_compatible, is_equivalent, is_proper_subtype, is_same_type, is_subtype, ) from mypy.typeops import is_recursive_pair, make_simplified_union, tuple_fallback from mypy.types import ( MYPYC_NATIVE_INT_NAMES, TUPLE_LIKE_INSTANCE_NAMES, AnyType, CallableType, DeletedType, ErasedType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeGuardedType, TypeOfAny, TypeType, TypeVarLikeType, TypeVarTupleType, TypeVarType, TypeVisitor, UnboundType, UninhabitedType, UnionType, UnpackType, find_unpack_in_list, get_proper_type, get_proper_types, has_type_vars, is_named_instance, split_with_prefix_and_suffix, ) # TODO Describe this module. def trivial_meet(s: Type, t: Type) -> ProperType: """Return one of types (expanded) if it is a subtype of other, otherwise bottom type.""" if is_subtype(s, t): return get_proper_type(s) elif is_subtype(t, s): return get_proper_type(t) else: if state.strict_optional: return UninhabitedType() else: return NoneType() def meet_types(s: Type, t: Type) -> ProperType: """Return the greatest lower bound of two types.""" if is_recursive_pair(s, t): # This case can trigger an infinite recursion, general support for this will be # tricky, so we use a trivial meet (like for protocols). return trivial_meet(s, t) s = get_proper_type(s) t = get_proper_type(t) if isinstance(s, Instance) and isinstance(t, Instance) and s.type == t.type: # Code in checker.py should merge any extra_items where possible, so we # should have only compatible extra_items here. We check this before # the below subtype check, so that extra_attrs will not get erased. if (s.extra_attrs or t.extra_attrs) and is_same_type(s, t): if s.extra_attrs and t.extra_attrs: if len(s.extra_attrs.attrs) > len(t.extra_attrs.attrs): # Return the one that has more precise information. return s return t if s.extra_attrs: return s return t if not isinstance(s, UnboundType) and not isinstance(t, UnboundType): if is_proper_subtype(s, t, ignore_promotions=True): return s if is_proper_subtype(t, s, ignore_promotions=True): return t if isinstance(s, ErasedType): return s if isinstance(s, AnyType): return t if isinstance(s, UnionType) and not isinstance(t, UnionType): s, t = t, s # Meets/joins require callable type normalization. s, t = join.normalize_callables(s, t) return t.accept(TypeMeetVisitor(s)) def narrow_declared_type(declared: Type, narrowed: Type) -> Type: """Return the declared type narrowed down to another type.""" # TODO: check infinite recursion for aliases here. if isinstance(narrowed, TypeGuardedType): # A type guard forces the new type even if it doesn't overlap the old... if is_proper_subtype(declared, narrowed.type_guard, ignore_promotions=True): # ...unless it is a proper supertype of declared type. return declared return narrowed.type_guard original_declared = declared original_narrowed = narrowed declared = get_proper_type(declared) narrowed = get_proper_type(narrowed) if declared == narrowed: return original_declared if isinstance(declared, UnionType): declared_items = declared.relevant_items() if isinstance(narrowed, UnionType): narrowed_items = narrowed.relevant_items() else: narrowed_items = [narrowed] return make_simplified_union( [ narrow_declared_type(d, n) for d in declared_items for n in narrowed_items # This (ugly) special-casing is needed to support checking # branches like this: # x: Union[float, complex] # if isinstance(x, int): # ... # And assignments like this: # x: float | None # y: int | None # x = y if ( is_overlapping_types(d, n, ignore_promotions=True) or is_subtype(n, d, ignore_promotions=False) ) ] ) if is_enum_overlapping_union(declared, narrowed): # Quick check before reaching `is_overlapping_types`. If it's enum/literal overlap, # avoid full expansion and make it faster. assert isinstance(narrowed, UnionType) return make_simplified_union( [narrow_declared_type(declared, x) for x in narrowed.relevant_items()] ) elif ( isinstance(declared, TypeVarType) and not has_type_vars(original_narrowed) and is_subtype(original_narrowed, declared.upper_bound) ): # We put this branch early to get T(bound=Union[A, B]) instead of # Union[T(bound=A), T(bound=B)] that will be confusing for users. return declared.copy_modified( upper_bound=narrow_declared_type(declared.upper_bound, original_narrowed) ) elif not is_overlapping_types(declared, narrowed, prohibit_none_typevar_overlap=True): if state.strict_optional: return UninhabitedType() else: return NoneType() elif isinstance(narrowed, UnionType): return make_simplified_union( [narrow_declared_type(declared, x) for x in narrowed.relevant_items()] ) elif isinstance(narrowed, AnyType): return original_narrowed elif isinstance(narrowed, TypeVarType) and is_subtype(narrowed.upper_bound, declared): return narrowed elif isinstance(declared, TypeType) and isinstance(narrowed, TypeType): return TypeType.make_normalized( narrow_declared_type(declared.item, narrowed.item), is_type_form=declared.is_type_form and narrowed.is_type_form, ) elif ( isinstance(declared, TypeType) and isinstance(narrowed, Instance) and narrowed.type.is_metaclass() ): if declared.is_type_form: # The declared TypeForm[T] after narrowing must be a kind of # type object at least as narrow as Type[T] return narrow_declared_type( TypeType.make_normalized( declared.item, line=declared.line, column=declared.column, is_type_form=False ), original_narrowed, ) # We'd need intersection types, so give up. return original_declared elif isinstance(declared, Instance): if declared.type.alt_promote: # Special case: low-level integer type can't be narrowed return original_declared if ( isinstance(narrowed, Instance) and narrowed.type.alt_promote and narrowed.type.alt_promote.type is declared.type ): # Special case: 'int' can't be narrowed down to a native int type such as # i64, since they have different runtime representations. return original_declared return meet_types(original_declared, original_narrowed) elif isinstance(declared, (TupleType, TypeType, LiteralType)): return meet_types(original_declared, original_narrowed) elif isinstance(declared, TypedDictType) and isinstance(narrowed, Instance): # Special case useful for selecting TypedDicts from unions using isinstance(x, dict). if narrowed.type.fullname == "builtins.dict" and all( isinstance(t, AnyType) for t in get_proper_types(narrowed.args) ): return original_declared return meet_types(original_declared, original_narrowed) return original_narrowed def get_possible_variants(typ: Type) -> list[Type]: """This function takes any "Union-like" type and returns a list of the available "options". Specifically, there are currently exactly three different types that can have "variants" or are "union-like": - Unions - TypeVars with value restrictions - Overloads This function will return a list of each "option" present in those types. If this function receives any other type, we return a list containing just that original type. (E.g. pretend the type was contained within a singleton union). The only current exceptions are regular TypeVars and ParamSpecs. For these "TypeVarLike"s, we return a list containing that TypeVarLike's upper bound. This function is useful primarily when checking to see if two types are overlapping: the algorithm to check if two unions are overlapping is fundamentally the same as the algorithm for checking if two overloads are overlapping. Normalizing both kinds of types in the same way lets us reuse the same algorithm for both. """ typ = get_proper_type(typ) if isinstance(typ, TypeVarType): if len(typ.values) > 0: return typ.values else: return [typ.upper_bound] elif isinstance(typ, ParamSpecType): # Extract 'object' from the final mro item upper_bound = get_proper_type(typ.upper_bound) if isinstance(upper_bound, Instance): return [Instance(upper_bound.type.mro[-1], [])] return [AnyType(TypeOfAny.implementation_artifact)] elif isinstance(typ, TypeVarTupleType): return [typ.upper_bound] elif isinstance(typ, UnionType): return list(typ.items) elif isinstance(typ, Overloaded): # Note: doing 'return typ.items()' makes mypy # infer a too-specific return type of List[CallableType] return list(typ.items) else: return [typ] def is_enum_overlapping_union(x: ProperType, y: ProperType) -> bool: """Return True if x is an Enum, and y is an Union with at least one Literal from x""" return ( isinstance(x, Instance) and x.type.is_enum and isinstance(y, UnionType) and any( isinstance(p := get_proper_type(z), LiteralType) and x.type == p.fallback.type for z in y.relevant_items() ) ) def is_literal_in_union(x: ProperType, y: ProperType) -> bool: """Return True if x is a Literal and y is an Union that includes x""" return ( isinstance(x, LiteralType) and isinstance(y, UnionType) and any(x == get_proper_type(z) for z in y.items) ) def is_object(t: ProperType) -> bool: return isinstance(t, Instance) and t.type.fullname == "builtins.object" def is_none_typevarlike_overlap(t1: ProperType, t2: ProperType) -> bool: return isinstance(t1, NoneType) and isinstance(t2, TypeVarLikeType) def is_none_object_overlap(t1: ProperType, t2: ProperType) -> bool: return ( isinstance(t1, NoneType) and isinstance(t2, Instance) and t2.type.fullname == "builtins.object" ) def are_related_types( left: Type, right: Type, *, proper_subtype: bool, ignore_promotions: bool ) -> bool: if proper_subtype: return is_proper_subtype( left, right, ignore_promotions=ignore_promotions ) or is_proper_subtype(right, left, ignore_promotions=ignore_promotions) else: return is_subtype(left, right, ignore_promotions=ignore_promotions) or is_subtype( right, left, ignore_promotions=ignore_promotions ) def is_overlapping_types( left: Type, right: Type, ignore_promotions: bool = False, prohibit_none_typevar_overlap: bool = False, overlap_for_overloads: bool = False, seen_types: set[tuple[Type, Type]] | None = None, ) -> bool: """Can a value of type 'left' also be of type 'right' or vice-versa? If 'ignore_promotions' is True, we ignore promotions while checking for overlaps. If 'prohibit_none_typevar_overlap' is True, we disallow None from overlapping with TypeVars (in both strict-optional and non-strict-optional mode). If 'overlap_for_overloads' is True, we check for overlaps more strictly (to avoid false positives), for example: None only overlaps with explicitly optional types, Any doesn't overlap with anything except object, we don't ignore positional argument names. """ if isinstance(left, TypeGuardedType) or isinstance(right, TypeGuardedType): # A type guard forces the new type even if it doesn't overlap the old. return True if seen_types is None: seen_types = set() elif (left, right) in seen_types: return True if is_recursive_pair(left, right): seen_types.add((left, right)) left, right = get_proper_types((left, right)) # We should never encounter this type. if isinstance(left, PartialType) or isinstance(right, PartialType): assert False, "Unexpectedly encountered partial type" # We should also never encounter these types, but it's possible a few # have snuck through due to unrelated bugs. For now, we handle these # in the same way we handle 'Any'. # # TODO: Replace these with an 'assert False' once we are more confident. illegal_types = (UnboundType, ErasedType, DeletedType) if isinstance(left, illegal_types) or isinstance(right, illegal_types): return True # When running under non-strict optional mode, simplify away types of # the form 'Union[A, B, C, None]' into just 'Union[A, B, C]'. if not state.strict_optional: if isinstance(left, UnionType): left = UnionType.make_union(left.relevant_items()) if isinstance(right, UnionType): right = UnionType.make_union(right.relevant_items()) left, right = get_proper_types((left, right)) # 'Any' may or may not be overlapping with the other type if isinstance(left, AnyType) or isinstance(right, AnyType): return not overlap_for_overloads or is_object(left) or is_object(right) # We check for complete overlaps next as a general-purpose failsafe. # If this check fails, we start checking to see if there exists a # *partial* overlap between types. # # These checks will also handle the NoneType and UninhabitedType cases for us. # enums are sometimes expanded into an Union of Literals # when that happens we want to make sure we treat the two as overlapping # and crucially, we want to do that *fast* in case the enum is large # so we do it before expanding variants below to avoid O(n**2) behavior if ( is_enum_overlapping_union(left, right) or is_enum_overlapping_union(right, left) or is_literal_in_union(left, right) or is_literal_in_union(right, left) ): return True if overlap_for_overloads: if is_none_object_overlap(left, right) or is_none_object_overlap(right, left): return False if are_related_types( left, right, proper_subtype=overlap_for_overloads, ignore_promotions=ignore_promotions ): return True # See the docstring for 'get_possible_variants' for more info on what the # following lines are doing. left_possible = get_possible_variants(left) right_possible = get_possible_variants(right) # Now move on to checking multi-variant types like Unions. We also perform # the same logic if either type happens to be a TypeVar/ParamSpec/TypeVarTuple. # # Handling the TypeVarLikes now lets us simulate having them bind to the corresponding # type -- if we deferred these checks, the "return-early" logic of the other # checks will prevent us from detecting certain overlaps. # # If both types are singleton variants (and are not TypeVarLikes), we've hit the base case: # we skip these checks to avoid infinitely recursing. if prohibit_none_typevar_overlap: if is_none_typevarlike_overlap(left, right) or is_none_typevarlike_overlap(right, left): return False def _is_overlapping_types(left: Type, right: Type) -> bool: """Encode the kind of overlapping check to perform. This function mostly exists, so we don't have to repeat keyword arguments everywhere. """ return is_overlapping_types( left, right, ignore_promotions=ignore_promotions, prohibit_none_typevar_overlap=prohibit_none_typevar_overlap, overlap_for_overloads=overlap_for_overloads, seen_types=seen_types.copy(), ) if ( len(left_possible) > 1 or len(right_possible) > 1 or isinstance(left, TypeVarLikeType) or isinstance(right, TypeVarLikeType) ): for l in left_possible: for r in right_possible: if _is_overlapping_types(l, r): return True return False # Now that we've finished handling TypeVarLikes, we're free to end early # if one one of the types is None and we're running in strict-optional mode. # (None only overlaps with None in strict-optional mode). # # We must perform this check after the TypeVarLike checks because # a TypeVar could be bound to None, for example. if state.strict_optional and isinstance(left, NoneType) != isinstance(right, NoneType): return False # Next, we handle single-variant types that may be inherently partially overlapping: # # - TypedDicts # - Tuples # # If we cannot identify a partial overlap and end early, we degrade these two types # into their 'Instance' fallbacks. if isinstance(left, TypedDictType) and isinstance(right, TypedDictType): return are_typed_dicts_overlapping(left, right, _is_overlapping_types) elif typed_dict_mapping_pair(left, right): # Overlaps between TypedDicts and Mappings require dedicated logic. return typed_dict_mapping_overlap(left, right, overlapping=_is_overlapping_types) elif isinstance(left, TypedDictType): left = left.fallback elif isinstance(right, TypedDictType): right = right.fallback if is_tuple(left) and is_tuple(right): return are_tuples_overlapping(left, right, _is_overlapping_types) elif isinstance(left, TupleType): left = tuple_fallback(left) elif isinstance(right, TupleType): right = tuple_fallback(right) # Next, we handle single-variant types that cannot be inherently partially overlapping, # but do require custom logic to inspect. # # As before, we degrade into 'Instance' whenever possible. if isinstance(left, TypeType) and isinstance(right, TypeType): return _is_overlapping_types(left.item, right.item) if isinstance(left, TypeType) or isinstance(right, TypeType): def _type_object_overlap(left: Type, right: Type) -> bool: """Special cases for type object types overlaps.""" # TODO: these checks are a bit in gray area, adjust if they cause problems. left, right = get_proper_types((left, right)) # 1. Type[C] vs Callable[..., C] overlap even if the latter is not class object. if isinstance(left, TypeType) and isinstance(right, CallableType): return _is_overlapping_types(left.item, right.ret_type) # 2. Type[C] vs Meta, where Meta is a metaclass for C. if isinstance(left, TypeType) and isinstance(right, Instance): if isinstance(left.item, Instance): left_meta = left.item.type.metaclass_type if left_meta is not None: return _is_overlapping_types(left_meta, right) # builtins.type (default metaclass) overlaps with all metaclasses return right.type.has_base("builtins.type") elif isinstance(left.item, AnyType): return right.type.has_base("builtins.type") # 3. Callable[..., C] vs Meta is considered below, when we switch to fallbacks. return False return _type_object_overlap(left, right) or _type_object_overlap(right, left) if isinstance(left, Parameters) and isinstance(right, Parameters): return are_parameters_compatible( left, right, is_compat=_is_overlapping_types, is_proper_subtype=False, ignore_pos_arg_names=not overlap_for_overloads, allow_partial_overlap=True, ) # A `Parameters` does not overlap with anything else, however if isinstance(left, Parameters) or isinstance(right, Parameters): return False if isinstance(left, CallableType) and isinstance(right, CallableType): return is_callable_compatible( left, right, is_compat=_is_overlapping_types, is_proper_subtype=False, ignore_pos_arg_names=not overlap_for_overloads, allow_partial_overlap=True, ) call = None other = None if isinstance(left, CallableType) and isinstance(right, Instance): call = find_member("__call__", right, right, is_operator=True) other = left if isinstance(right, CallableType) and isinstance(left, Instance): call = find_member("__call__", left, left, is_operator=True) other = right if isinstance(get_proper_type(call), FunctionLike): assert call is not None and other is not None return _is_overlapping_types(call, other) if isinstance(left, CallableType): left = left.fallback if isinstance(right, CallableType): right = right.fallback if isinstance(left, LiteralType) and isinstance(right, LiteralType): if left.value == right.value: # If values are the same, we still need to check if fallbacks are overlapping, # this is done below. left = left.fallback right = right.fallback else: return False elif isinstance(left, LiteralType): left = left.fallback elif isinstance(right, LiteralType): right = right.fallback # Finally, we handle the case where left and right are instances. if isinstance(left, Instance) and isinstance(right, Instance): # First we need to handle promotions and structural compatibility for instances # that came as fallbacks, so simply call is_subtype() to avoid code duplication. if are_related_types( left, right, proper_subtype=overlap_for_overloads, ignore_promotions=ignore_promotions ): return True if right.type.fullname == "builtins.int" and left.type.fullname in MYPYC_NATIVE_INT_NAMES: return True # Two unrelated types cannot be partially overlapping: they're disjoint. if left.type.has_base(right.type.fullname): left = map_instance_to_supertype(left, right.type) elif right.type.has_base(left.type.fullname): right = map_instance_to_supertype(right, left.type) else: return False if right.type.has_type_var_tuple_type: # Similar to subtyping, we delegate the heavy lifting to the tuple overlap. assert right.type.type_var_tuple_prefix is not None assert right.type.type_var_tuple_suffix is not None prefix = right.type.type_var_tuple_prefix suffix = right.type.type_var_tuple_suffix tvt = right.type.defn.type_vars[prefix] assert isinstance(tvt, TypeVarTupleType) fallback = tvt.tuple_fallback left_prefix, left_middle, left_suffix = split_with_prefix_and_suffix( left.args, prefix, suffix ) right_prefix, right_middle, right_suffix = split_with_prefix_and_suffix( right.args, prefix, suffix ) left_args = left_prefix + (TupleType(list(left_middle), fallback),) + left_suffix right_args = right_prefix + (TupleType(list(right_middle), fallback),) + right_suffix else: left_args = left.args right_args = right.args if len(left_args) == len(right_args): # Note: we don't really care about variance here, since the overlapping check # is symmetric and since we want to return 'True' even for partial overlaps. # # For example, suppose we have two types Wrapper[Parent] and Wrapper[Child]. # It doesn't matter whether Wrapper is covariant or contravariant since # either way, one of the two types will overlap with the other. # # Similarly, if Wrapper was invariant, the two types could still be partially # overlapping -- what if Wrapper[Parent] happened to contain only instances of # specifically Child? # # Or, to use a more concrete example, List[Union[A, B]] and List[Union[B, C]] # would be considered partially overlapping since it's possible for both lists # to contain only instances of B at runtime. if all( _is_overlapping_types(left_arg, right_arg) for left_arg, right_arg in zip(left_args, right_args) ): return True return False # We ought to have handled every case by now: we conclude the # two types are not overlapping, either completely or partially. # # Note: it's unclear however, whether returning False is the right thing # to do when inferring reachability -- see https://github.com/python/mypy/issues/5529 assert type(left) != type(right), f"{type(left)} vs {type(right)}" return False def is_overlapping_erased_types( left: Type, right: Type, *, ignore_promotions: bool = False ) -> bool: """The same as 'is_overlapping_erased_types', except the types are erased first.""" return is_overlapping_types( erase_type(left), erase_type(right), ignore_promotions=ignore_promotions, prohibit_none_typevar_overlap=True, ) def are_typed_dicts_overlapping( left: TypedDictType, right: TypedDictType, is_overlapping: Callable[[Type, Type], bool] ) -> bool: """Returns 'true' if left and right are overlapping TypeDictTypes.""" # All required keys in left are present and overlapping with something in right for key in left.required_keys: if key not in right.items: return False if not is_overlapping(left.items[key], right.items[key]): return False # Repeat check in the other direction for key in right.required_keys: if key not in left.items: return False if not is_overlapping(left.items[key], right.items[key]): return False # The presence of any additional optional keys does not affect whether the two # TypedDicts are partially overlapping: the dicts would be overlapping if the # keys happened to be missing. return True def are_tuples_overlapping( left: Type, right: Type, is_overlapping: Callable[[Type, Type], bool] ) -> bool: """Returns true if left and right are overlapping tuples.""" left, right = get_proper_types((left, right)) left = adjust_tuple(left, right) or left right = adjust_tuple(right, left) or right assert isinstance(left, TupleType), f"Type {left} is not a tuple" assert isinstance(right, TupleType), f"Type {right} is not a tuple" # This algorithm works well if only one tuple is variadic, if both are # variadic we may get rare false negatives for overlapping prefix/suffix. # Also, this ignores empty unpack case, but it is probably consistent with # how we handle e.g. empty lists in overload overlaps. # TODO: write a more robust algorithm for cases where both types are variadic. left_unpack = find_unpack_in_list(left.items) right_unpack = find_unpack_in_list(right.items) if left_unpack is not None: left = expand_tuple_if_possible(left, len(right.items)) if right_unpack is not None: right = expand_tuple_if_possible(right, len(left.items)) if len(left.items) != len(right.items): return False if not all(is_overlapping(l, r) for l, r in zip(left.items, right.items)): return False # Check that the tuples aren't from e.g. different NamedTuples. if is_named_instance(right.partial_fallback, "builtins.tuple") or is_named_instance( left.partial_fallback, "builtins.tuple" ): return True else: return is_overlapping(left.partial_fallback, right.partial_fallback) def expand_tuple_if_possible(tup: TupleType, target: int) -> TupleType: if len(tup.items) > target + 1: return tup extra = target + 1 - len(tup.items) new_items = [] for it in tup.items: if not isinstance(it, UnpackType): new_items.append(it) continue unpacked = get_proper_type(it.type) if isinstance(unpacked, TypeVarTupleType): instance = unpacked.tuple_fallback else: # Nested non-variadic tuples should be normalized at this point. assert isinstance(unpacked, Instance) instance = unpacked assert instance.type.fullname == "builtins.tuple" new_items.extend([instance.args[0]] * extra) return tup.copy_modified(items=new_items) def adjust_tuple(left: ProperType, r: ProperType) -> TupleType | None: """Find out if `left` is a Tuple[A, ...], and adjust its length to `right`""" if isinstance(left, Instance) and left.type.fullname == "builtins.tuple": n = r.length() if isinstance(r, TupleType) else 1 return TupleType([left.args[0]] * n, left) return None def is_tuple(typ: Type) -> bool: typ = get_proper_type(typ) return isinstance(typ, TupleType) or ( isinstance(typ, Instance) and typ.type.fullname == "builtins.tuple" ) class TypeMeetVisitor(TypeVisitor[ProperType]): def __init__(self, s: ProperType) -> None: self.s = s def visit_unbound_type(self, t: UnboundType) -> ProperType: if isinstance(self.s, NoneType): if state.strict_optional: return UninhabitedType() else: return self.s elif isinstance(self.s, UninhabitedType): return self.s else: return AnyType(TypeOfAny.special_form) def visit_any(self, t: AnyType) -> ProperType: return self.s def visit_union_type(self, t: UnionType) -> ProperType: if isinstance(self.s, UnionType): meets: list[Type] = [] for x in t.items: for y in self.s.items: meets.append(meet_types(x, y)) else: meets = [meet_types(x, self.s) for x in t.items] return make_simplified_union(meets) def visit_none_type(self, t: NoneType) -> ProperType: if state.strict_optional: if isinstance(self.s, NoneType) or ( isinstance(self.s, Instance) and self.s.type.fullname == "builtins.object" ): return t else: return UninhabitedType() else: return t def visit_uninhabited_type(self, t: UninhabitedType) -> ProperType: return t def visit_deleted_type(self, t: DeletedType) -> ProperType: if isinstance(self.s, NoneType): if state.strict_optional: return t else: return self.s elif isinstance(self.s, UninhabitedType): return self.s else: return t def visit_erased_type(self, t: ErasedType) -> ProperType: return self.s def visit_type_var(self, t: TypeVarType) -> ProperType: if isinstance(self.s, TypeVarType) and self.s.id == t.id: if self.s.upper_bound == t.upper_bound: return self.s return self.s.copy_modified(upper_bound=self.meet(self.s.upper_bound, t.upper_bound)) else: return self.default(self.s) def visit_param_spec(self, t: ParamSpecType) -> ProperType: if self.s == t: return self.s else: return self.default(self.s) def visit_type_var_tuple(self, t: TypeVarTupleType) -> ProperType: if isinstance(self.s, TypeVarTupleType) and self.s.id == t.id: return self.s if self.s.min_len > t.min_len else t else: return self.default(self.s) def visit_unpack_type(self, t: UnpackType) -> ProperType: raise NotImplementedError def visit_parameters(self, t: Parameters) -> ProperType: if isinstance(self.s, Parameters): if len(t.arg_types) != len(self.s.arg_types): return self.default(self.s) from mypy.join import join_types return t.copy_modified( arg_types=[join_types(s_a, t_a) for s_a, t_a in zip(self.s.arg_types, t.arg_types)] ) else: return self.default(self.s) def visit_instance(self, t: Instance) -> ProperType: if isinstance(self.s, Instance): if t.type == self.s.type: if is_subtype(t, self.s) or is_subtype(self.s, t): # Combine type arguments. We could have used join below # equivalently. args: list[Type] = [] # N.B: We use zip instead of indexing because the lengths might have # mismatches during daemon reprocessing. if t.type.has_type_var_tuple_type: # We handle meet of variadic instances by simply creating correct mapping # for type arguments and compute the individual meets same as for regular # instances. All the heavy lifting is done in the meet of tuple types. s = self.s assert s.type.type_var_tuple_prefix is not None assert s.type.type_var_tuple_suffix is not None prefix = s.type.type_var_tuple_prefix suffix = s.type.type_var_tuple_suffix tvt = s.type.defn.type_vars[prefix] assert isinstance(tvt, TypeVarTupleType) fallback = tvt.tuple_fallback s_prefix, s_middle, s_suffix = split_with_prefix_and_suffix( s.args, prefix, suffix ) t_prefix, t_middle, t_suffix = split_with_prefix_and_suffix( t.args, prefix, suffix ) s_args = s_prefix + (TupleType(list(s_middle), fallback),) + s_suffix t_args = t_prefix + (TupleType(list(t_middle), fallback),) + t_suffix else: t_args = t.args s_args = self.s.args for ta, sa, tv in zip(t_args, s_args, t.type.defn.type_vars): meet = self.meet(ta, sa) if isinstance(tv, TypeVarTupleType): # Correctly unpack possible outcomes of meets of tuples: it can be # either another tuple type or Never (normalized as *tuple[Never, ...]) if isinstance(meet, TupleType): args.extend(meet.items) continue else: assert isinstance(meet, UninhabitedType) meet = UnpackType(tv.tuple_fallback.copy_modified(args=[meet])) args.append(meet) return Instance(t.type, args) else: if state.strict_optional: return UninhabitedType() else: return NoneType() else: alt_promote = t.type.alt_promote if alt_promote and alt_promote.type is self.s.type: return t alt_promote = self.s.type.alt_promote if alt_promote and alt_promote.type is t.type: return self.s if is_subtype(t, self.s): return t elif is_subtype(self.s, t): # See also above comment. return self.s else: if state.strict_optional: return UninhabitedType() else: return NoneType() elif isinstance(self.s, FunctionLike) and t.type.is_protocol: call = join.unpack_callback_protocol(t) if call: return meet_types(call, self.s) elif isinstance(self.s, FunctionLike) and self.s.is_type_obj() and t.type.is_metaclass(): if is_subtype(self.s.fallback, t): return self.s return self.default(self.s) elif isinstance(self.s, TypeType): return meet_types(t, self.s) elif isinstance(self.s, TupleType): return meet_types(t, self.s) elif isinstance(self.s, LiteralType): return meet_types(t, self.s) elif isinstance(self.s, TypedDictType): return meet_types(t, self.s) return self.default(self.s) def visit_callable_type(self, t: CallableType) -> ProperType: if isinstance(self.s, CallableType) and join.is_similar_callables(t, self.s): if is_equivalent(t, self.s): return join.combine_similar_callables(t, self.s) result = meet_similar_callables(t, self.s) # We set the from_type_type flag to suppress error when a collection of # concrete class objects gets inferred as their common abstract superclass. if not ( (t.is_type_obj() and t.type_object().is_abstract) or (self.s.is_type_obj() and self.s.type_object().is_abstract) ): result.from_type_type = True if isinstance(get_proper_type(result.ret_type), UninhabitedType): # Return a plain None or instead of a weird function. return self.default(self.s) return result elif isinstance(self.s, TypeType) and t.is_type_obj() and not t.is_generic(): # In this case we are able to potentially produce a better meet. res = meet_types(self.s.item, t.ret_type) if not isinstance(res, (NoneType, UninhabitedType)): return TypeType.make_normalized(res) return self.default(self.s) elif isinstance(self.s, Instance) and self.s.type.is_protocol: call = join.unpack_callback_protocol(self.s) if call: return meet_types(t, call) return self.default(self.s) def visit_overloaded(self, t: Overloaded) -> ProperType: # TODO: Implement a better algorithm that covers at least the same cases # as TypeJoinVisitor.visit_overloaded(). s = self.s if isinstance(s, FunctionLike): if s.items == t.items: return Overloaded(t.items) elif is_subtype(s, t): return s elif is_subtype(t, s): return t else: return meet_types(t.fallback, s.fallback) elif isinstance(self.s, Instance) and self.s.type.is_protocol: call = join.unpack_callback_protocol(self.s) if call: return meet_types(t, call) return meet_types(t.fallback, s) def meet_tuples(self, s: TupleType, t: TupleType) -> list[Type] | None: """Meet two tuple types while handling variadic entries. This is surprisingly tricky, and we don't handle some tricky corner cases. Most of the trickiness comes from the variadic tuple items like *tuple[X, ...] since they can have arbitrary partial overlaps (while *Ts can't be split). This function is roughly a mirror of join_tuples() w.r.t. to the fact that fixed tuples are subtypes of variadic ones but not vice versa. """ s_unpack_index = find_unpack_in_list(s.items) t_unpack_index = find_unpack_in_list(t.items) if s_unpack_index is None and t_unpack_index is None: if s.length() == t.length(): items: list[Type] = [] for i in range(t.length()): items.append(self.meet(t.items[i], s.items[i])) return items return None if s_unpack_index is not None and t_unpack_index is not None: # The only simple case we can handle if both tuples are variadic # is when their structure fully matches. Other cases are tricky because # a variadic item is effectively a union of tuples of all length, thus # potentially causing overlap between a suffix in `s` and a prefix # in `t` (see how this is handled in is_subtype() for details). # TODO: handle more cases (like when both prefix/suffix are shorter in s or t). if s.length() == t.length() and s_unpack_index == t_unpack_index: unpack_index = s_unpack_index s_unpack = s.items[unpack_index] assert isinstance(s_unpack, UnpackType) s_unpacked = get_proper_type(s_unpack.type) t_unpack = t.items[unpack_index] assert isinstance(t_unpack, UnpackType) t_unpacked = get_proper_type(t_unpack.type) if not (isinstance(s_unpacked, Instance) and isinstance(t_unpacked, Instance)): return None meet = self.meet(s_unpacked, t_unpacked) if not isinstance(meet, Instance): return None m_prefix: list[Type] = [] for si, ti in zip(s.items[:unpack_index], t.items[:unpack_index]): m_prefix.append(meet_types(si, ti)) m_suffix: list[Type] = [] for si, ti in zip(s.items[unpack_index + 1 :], t.items[unpack_index + 1 :]): m_suffix.append(meet_types(si, ti)) return m_prefix + [UnpackType(meet)] + m_suffix return None if s_unpack_index is not None: variadic = s unpack_index = s_unpack_index fixed = t else: assert t_unpack_index is not None variadic = t unpack_index = t_unpack_index fixed = s # If one tuple is variadic one, and the other one is fixed, the meet will be fixed. unpack = variadic.items[unpack_index] assert isinstance(unpack, UnpackType) unpacked = get_proper_type(unpack.type) if not isinstance(unpacked, Instance): return None if fixed.length() < variadic.length() - 1: return None prefix_len = unpack_index suffix_len = variadic.length() - prefix_len - 1 prefix, middle, suffix = split_with_prefix_and_suffix( tuple(fixed.items), prefix_len, suffix_len ) items = [] for fi, vi in zip(prefix, variadic.items[:prefix_len]): items.append(self.meet(fi, vi)) for mi in middle: items.append(self.meet(mi, unpacked.args[0])) if suffix_len: for fi, vi in zip(suffix, variadic.items[-suffix_len:]): items.append(self.meet(fi, vi)) return items def visit_tuple_type(self, t: TupleType) -> ProperType: if isinstance(self.s, TupleType): items = self.meet_tuples(self.s, t) if items is None: return self.default(self.s) # TODO: What if the fallbacks are different? return TupleType(items, tuple_fallback(t)) elif isinstance(self.s, Instance): # meet(Tuple[t1, t2, <...>], Tuple[s, ...]) == Tuple[meet(t1, s), meet(t2, s), <...>]. if self.s.type.fullname in TUPLE_LIKE_INSTANCE_NAMES and self.s.args: return t.copy_modified(items=[meet_types(it, self.s.args[0]) for it in t.items]) elif is_proper_subtype(t, self.s): # A named tuple that inherits from a normal class return t elif self.s.type.has_type_var_tuple_type and is_subtype(t, self.s): # This is a bit ad-hoc but more principled handling is tricky, and this # special case is important for type narrowing in binder to work. return t return self.default(self.s) def visit_typeddict_type(self, t: TypedDictType) -> ProperType: if isinstance(self.s, TypedDictType): for name, l, r in self.s.zip(t): if not is_equivalent(l, r) or (name in t.required_keys) != ( name in self.s.required_keys ): return self.default(self.s) item_list: list[tuple[str, Type]] = [] for item_name, s_item_type, t_item_type in self.s.zipall(t): if s_item_type is not None: item_list.append((item_name, s_item_type)) else: # at least one of s_item_type and t_item_type is not None assert t_item_type is not None item_list.append((item_name, t_item_type)) items = dict(item_list) fallback = self.s.create_anonymous_fallback() required_keys = t.required_keys | self.s.required_keys readonly_keys = t.readonly_keys | self.s.readonly_keys return TypedDictType(items, required_keys, readonly_keys, fallback) elif isinstance(self.s, Instance) and is_subtype(t, self.s): return t else: return self.default(self.s) def visit_literal_type(self, t: LiteralType) -> ProperType: if isinstance(self.s, LiteralType) and self.s == t: return t elif isinstance(self.s, Instance) and is_subtype(t.fallback, self.s): return t else: return self.default(self.s) def visit_partial_type(self, t: PartialType) -> ProperType: # We can't determine the meet of partial types. We should never get here. assert False, "Internal error" def visit_type_type(self, t: TypeType) -> ProperType: if isinstance(self.s, TypeType): typ = self.meet(t.item, self.s.item) if not isinstance(typ, NoneType): typ = TypeType.make_normalized( typ, line=t.line, is_type_form=self.s.is_type_form and t.is_type_form ) return typ elif isinstance(self.s, Instance) and self.s.type.fullname == "builtins.type": return t elif isinstance(self.s, CallableType): return self.meet(t, self.s) else: return self.default(self.s) def visit_type_alias_type(self, t: TypeAliasType) -> ProperType: assert False, f"This should be never called, got {t}" def meet(self, s: Type, t: Type) -> ProperType: return meet_types(s, t) def default(self, typ: Type) -> ProperType: if isinstance(typ, UnboundType): return AnyType(TypeOfAny.special_form) else: if state.strict_optional: return UninhabitedType() else: return NoneType() def meet_similar_callables(t: CallableType, s: CallableType) -> CallableType: from mypy.join import match_generic_callables, safe_join t, s = match_generic_callables(t, s) arg_types: list[Type] = [] for i in range(len(t.arg_types)): arg_types.append(safe_join(t.arg_types[i], s.arg_types[i])) # TODO in combine_similar_callables also applies here (names and kinds) # The fallback type can be either 'function' or 'type'. The result should have 'function' as # fallback only if both operands have it as 'function'. if t.fallback.type.fullname != "builtins.function": fallback = t.fallback else: fallback = s.fallback return t.copy_modified( arg_types=arg_types, ret_type=meet_types(t.ret_type, s.ret_type), fallback=fallback, name=None, ) def meet_type_list(types: list[Type]) -> Type: if not types: # This should probably be builtins.object but that is hard to get and # it doesn't matter for any current users. return AnyType(TypeOfAny.implementation_artifact) met = types[0] for t in types[1:]: met = meet_types(met, t) return met def typed_dict_mapping_pair(left: Type, right: Type) -> bool: """Is this a pair where one type is a TypedDict and another one is an instance of Mapping? This case requires a precise/principled consideration because there are two use cases that push the boundary the opposite ways: we need to avoid spurious overlaps to avoid false positives for overloads, but we also need to avoid spuriously non-overlapping types to avoid false positives with --strict-equality. """ left, right = get_proper_types((left, right)) assert not isinstance(left, TypedDictType) or not isinstance(right, TypedDictType) if isinstance(left, TypedDictType): _, other = left, right elif isinstance(right, TypedDictType): _, other = right, left else: return False return isinstance(other, Instance) and other.type.has_base("typing.Mapping") def typed_dict_mapping_overlap( left: Type, right: Type, overlapping: Callable[[Type, Type], bool] ) -> bool: """Check if a TypedDict type is overlapping with a Mapping. The basic logic here consists of two rules: * A TypedDict with some required keys is overlapping with Mapping[str, ] if and only if every key type is overlapping with . For example: - TypedDict(x=int, y=str) overlaps with Dict[str, Union[str, int]] - TypedDict(x=int, y=str) doesn't overlap with Dict[str, int] Note that any additional non-required keys can't change the above result. * A TypedDict with no required keys overlaps with Mapping[str, ] if and only if at least one of key types overlaps with . For example: - TypedDict(x=str, y=str, total=False) overlaps with Dict[str, str] - TypedDict(x=str, y=str, total=False) doesn't overlap with Dict[str, int] - TypedDict(x=int, y=str, total=False) overlaps with Dict[str, str] * A TypedDict with at least one ReadOnly[] key does not overlap with Dict or MutableMapping, because they assume mutable data. As usual empty, dictionaries lie in a gray area. In general, List[str] and List[str] are considered non-overlapping despite empty list belongs to both. However, List[int] and List[Never] are considered overlapping. So here we follow the same logic: a TypedDict with no required keys is considered non-overlapping with Mapping[str, ], but is considered overlapping with Mapping[Never, Never]. This way we avoid false positives for overloads, and also avoid false positives for comparisons like SomeTypedDict == {} under --strict-equality. """ left, right = get_proper_types((left, right)) assert not isinstance(left, TypedDictType) or not isinstance(right, TypedDictType) if isinstance(left, TypedDictType): assert isinstance(right, Instance) typed, other = left, right else: assert isinstance(left, Instance) assert isinstance(right, TypedDictType) typed, other = right, left mutable_mapping = next( (base for base in other.type.mro if base.fullname == "typing.MutableMapping"), None ) if mutable_mapping is not None and typed.readonly_keys: return False mapping = next(base for base in other.type.mro if base.fullname == "typing.Mapping") other = map_instance_to_supertype(other, mapping) key_type, value_type = get_proper_types(other.args) # TODO: is there a cleaner way to get str_type here? fallback = typed.as_anonymous().fallback str_type = fallback.type.bases[0].args[0] # typing._TypedDict inherits Mapping[str, object] # Special case: a TypedDict with no required keys overlaps with an empty dict. if isinstance(key_type, UninhabitedType) and isinstance(value_type, UninhabitedType): return not typed.required_keys if typed.required_keys: if not overlapping(key_type, str_type): return False return all(overlapping(typed.items[k], value_type) for k in typed.required_keys) else: if not overlapping(key_type, str_type): return False non_required = set(typed.items.keys()) - typed.required_keys return any(overlapping(typed.items[k], value_type) for k in non_required) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/memprofile.py0000644000175100017510000001011615112307767015765 0ustar00runnerrunner"""Utility for dumping memory usage stats. This is tailored to mypy and knows (a little) about which list objects are owned by particular AST nodes, etc. """ from __future__ import annotations import gc import sys from collections import defaultdict from collections.abc import Iterable from typing import cast from mypy.nodes import FakeInfo, Node from mypy.types import Type from mypy.util import get_class_descriptors def collect_memory_stats() -> tuple[dict[str, int], dict[str, int]]: """Return stats about memory use. Return a tuple with these items: - Dict from object kind to number of instances of that kind - Dict from object kind to total bytes used by all instances of that kind """ objs = gc.get_objects() find_recursive_objects(objs) inferred = {} for obj in objs: if type(obj) is FakeInfo: # Processing these would cause a crash. continue n = type(obj).__name__ if hasattr(obj, "__dict__"): # Keep track of which class a particular __dict__ is associated with. inferred[id(obj.__dict__)] = f"{n} (__dict__)" if isinstance(obj, (Node, Type)): # type: ignore[misc] if hasattr(obj, "__dict__"): for x in obj.__dict__.values(): if isinstance(x, list): # Keep track of which node a list is associated with. inferred[id(x)] = f"{n} (list)" if isinstance(x, tuple): # Keep track of which node a list is associated with. inferred[id(x)] = f"{n} (tuple)" for k in get_class_descriptors(type(obj)): x = getattr(obj, k, None) if isinstance(x, list): inferred[id(x)] = f"{n} (list)" if isinstance(x, tuple): inferred[id(x)] = f"{n} (tuple)" freqs: dict[str, int] = {} memuse: dict[str, int] = {} for obj in objs: if id(obj) in inferred: name = inferred[id(obj)] else: name = type(obj).__name__ freqs[name] = freqs.get(name, 0) + 1 memuse[name] = memuse.get(name, 0) + sys.getsizeof(obj) return freqs, memuse def print_memory_profile(run_gc: bool = True) -> None: if not sys.platform.startswith("win"): import resource system_memuse = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss else: system_memuse = -1 # TODO: Support this on Windows if run_gc: gc.collect() freqs, memuse = collect_memory_stats() print("%7s %7s %7s %s" % ("Freq", "Size(k)", "AvgSize", "Type")) print("-------------------------------------------") totalmem = 0 i = 0 for n, mem in sorted(memuse.items(), key=lambda x: -x[1]): f = freqs[n] if i < 50: print("%7d %7d %7.0f %s" % (f, mem // 1024, mem / f, n)) i += 1 totalmem += mem print() print("Mem usage RSS ", system_memuse // 1024) print("Total reachable ", totalmem // 1024) def find_recursive_objects(objs: list[object]) -> None: """Find additional objects referenced by objs and append them to objs. We use this since gc.get_objects() does not return objects without pointers in them such as strings. """ seen = {id(o) for o in objs} def visit(o: object) -> None: if id(o) not in seen: objs.append(o) seen.add(id(o)) for obj in objs.copy(): if type(obj) is FakeInfo: # Processing these would cause a crash. continue if type(obj) in (dict, defaultdict): for key, val in cast(dict[object, object], obj).items(): visit(key) visit(val) if type(obj) in (list, tuple, set): for x in cast(Iterable[object], obj): visit(x) if hasattr(obj, "__slots__"): for base in type.mro(type(obj)): for slot in getattr(base, "__slots__", ()): if hasattr(obj, slot): visit(getattr(obj, slot)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/message_registry.py0000644000175100017510000004146015112307767017210 0ustar00runnerrunner"""Message constants for generating error messages during type checking. Literal messages should be defined as constants in this module so they won't get out of sync if used in more than one place, and so that they can be easily introspected. These messages are ultimately consumed by messages.MessageBuilder.fail(). For more non-trivial message generation, add a method to MessageBuilder and call this instead. """ from __future__ import annotations from typing import Final, NamedTuple from mypy import errorcodes as codes from mypy.errorcodes import ErrorCode class ErrorMessage(NamedTuple): value: str code: ErrorCode | None = None def format(self, *args: object, **kwargs: object) -> ErrorMessage: return ErrorMessage(self.value.format(*args, **kwargs), code=self.code) def with_additional_msg(self, info: str) -> ErrorMessage: return ErrorMessage(self.value + info, code=self.code) # Invalid types INVALID_TYPE_RAW_ENUM_VALUE: Final = ErrorMessage( "Invalid type: try using Literal[{}.{}] instead?", codes.VALID_TYPE ) # Type checker error message constants NO_RETURN_VALUE_EXPECTED: Final = ErrorMessage("No return value expected", codes.RETURN_VALUE) MISSING_RETURN_STATEMENT: Final = ErrorMessage("Missing return statement", codes.RETURN) EMPTY_BODY_ABSTRACT: Final = ErrorMessage( "If the method is meant to be abstract, use @abc.abstractmethod", codes.EMPTY_BODY ) INVALID_IMPLICIT_RETURN: Final = ErrorMessage("Implicit return in function which does not return") INCOMPATIBLE_RETURN_VALUE_TYPE: Final = ErrorMessage( "Incompatible return value type", codes.RETURN_VALUE ) RETURN_VALUE_EXPECTED: Final = ErrorMessage("Return value expected", codes.RETURN_VALUE) NO_RETURN_EXPECTED: Final = ErrorMessage("Return statement in function which does not return") INVALID_EXCEPTION: Final = ErrorMessage("Exception must be derived from BaseException") INVALID_EXCEPTION_TYPE: Final = ErrorMessage( "Exception type must be derived from BaseException (or be a tuple of exception classes)" ) INVALID_EXCEPTION_GROUP: Final = ErrorMessage( "Exception type in except* cannot derive from BaseExceptionGroup" ) RETURN_IN_ASYNC_GENERATOR: Final = ErrorMessage( '"return" with value in async generator is not allowed' ) INVALID_RETURN_TYPE_FOR_GENERATOR: Final = ErrorMessage( 'The return type of a generator function should be "Generator" or one of its supertypes' ) INVALID_RETURN_TYPE_FOR_ASYNC_GENERATOR: Final = ErrorMessage( 'The return type of an async generator function should be "AsyncGenerator" or one of its ' "supertypes" ) YIELD_VALUE_EXPECTED: Final = ErrorMessage("Yield value expected") INCOMPATIBLE_TYPES: Final = ErrorMessage("Incompatible types") INCOMPATIBLE_TYPES_IN_ASSIGNMENT: Final = ErrorMessage( "Incompatible types in assignment", code=codes.ASSIGNMENT ) COVARIANT_OVERRIDE_OF_MUTABLE_ATTRIBUTE: Final = ErrorMessage( "Covariant override of a mutable attribute", code=codes.MUTABLE_OVERRIDE ) INCOMPATIBLE_TYPES_IN_AWAIT: Final = ErrorMessage('Incompatible types in "await"') INCOMPATIBLE_REDEFINITION: Final = ErrorMessage("Incompatible redefinition") INCOMPATIBLE_TYPES_IN_ASYNC_WITH_AENTER: Final = ( 'Incompatible types in "async with" for "__aenter__"' ) INCOMPATIBLE_TYPES_IN_ASYNC_WITH_AEXIT: Final = ( 'Incompatible types in "async with" for "__aexit__"' ) INCOMPATIBLE_TYPES_IN_ASYNC_FOR: Final = 'Incompatible types in "async for"' INVALID_TYPE_FOR_SLOTS: Final = 'Invalid type for "__slots__"' ASYNC_FOR_OUTSIDE_COROUTINE: Final = '"async for" outside async function' ASYNC_WITH_OUTSIDE_COROUTINE: Final = '"async with" outside async function' INCOMPATIBLE_TYPES_IN_YIELD: Final = ErrorMessage('Incompatible types in "yield"') INCOMPATIBLE_TYPES_IN_YIELD_FROM: Final = ErrorMessage('Incompatible types in "yield from"') INCOMPATIBLE_TYPES_IN_STR_INTERPOLATION: Final = "Incompatible types in string interpolation" INCOMPATIBLE_TYPES_IN_CAPTURE: Final = ErrorMessage("Incompatible types in capture pattern") MUST_HAVE_NONE_RETURN_TYPE: Final = ErrorMessage('The return type of "{}" must be None') TUPLE_INDEX_OUT_OF_RANGE: Final = ErrorMessage("Tuple index out of range") AMBIGUOUS_SLICE_OF_VARIADIC_TUPLE: Final = ErrorMessage("Ambiguous slice of a variadic tuple") TOO_MANY_TARGETS_FOR_VARIADIC_UNPACK: Final = ErrorMessage( "Too many assignment targets for variadic unpack" ) INVALID_SLICE_INDEX: Final = ErrorMessage("Slice index must be an integer, SupportsIndex or None") CANNOT_INFER_LAMBDA_TYPE: Final = ErrorMessage("Cannot infer type of lambda") CANNOT_ACCESS_INIT: Final = ( 'Accessing "__init__" on an instance is unsound, since instance.__init__ could be from' " an incompatible subclass" ) NON_INSTANCE_NEW_TYPE: Final = ErrorMessage('"__new__" must return a class instance (got {})') INVALID_NEW_TYPE: Final = ErrorMessage('Incompatible return type for "__new__"') BAD_CONSTRUCTOR_TYPE: Final = ErrorMessage("Unsupported decorated constructor type") CANNOT_ASSIGN_TO_METHOD: Final = "Cannot assign to a method" CANNOT_ASSIGN_TO_TYPE: Final = "Cannot assign to a type" INCONSISTENT_ABSTRACT_OVERLOAD: Final = ErrorMessage( "Overloaded method has both abstract and non-abstract variants" ) MULTIPLE_OVERLOADS_REQUIRED: Final = ErrorMessage("Single overload definition, multiple required") READ_ONLY_PROPERTY_OVERRIDES_READ_WRITE: Final = ErrorMessage( "Read-only property cannot override read-write property" ) FORMAT_REQUIRES_MAPPING: Final = "Format requires a mapping" RETURN_TYPE_CANNOT_BE_CONTRAVARIANT: Final = ErrorMessage( "Cannot use a contravariant type variable as return type" ) FUNCTION_PARAMETER_CANNOT_BE_COVARIANT: Final = ErrorMessage( "Cannot use a covariant type variable as a parameter" ) INCOMPATIBLE_IMPORT_OF: Final = ErrorMessage('Incompatible import of "{}"', code=codes.ASSIGNMENT) FUNCTION_TYPE_EXPECTED: Final = ErrorMessage( "Function is missing a type annotation", codes.NO_UNTYPED_DEF ) ONLY_CLASS_APPLICATION: Final = ErrorMessage( "Type application is only supported for generic classes" ) RETURN_TYPE_EXPECTED: Final = ErrorMessage( "Function is missing a return type annotation", codes.NO_UNTYPED_DEF ) ARGUMENT_TYPE_EXPECTED: Final = ErrorMessage( "Function is missing a type annotation for one or more arguments", codes.NO_UNTYPED_DEF ) KEYWORD_ARGUMENT_REQUIRES_STR_KEY_TYPE: Final = ErrorMessage( 'Keyword argument only valid with "str" key type in call to "dict"' ) ALL_MUST_BE_SEQ_STR: Final = ErrorMessage("Type of __all__ must be {}, not {}") INVALID_TYPEDDICT_ARGS: Final = ErrorMessage( "Expected keyword arguments, {...}, or dict(...) in TypedDict constructor" ) TYPEDDICT_KEY_MUST_BE_STRING_LITERAL: Final = ErrorMessage( "Expected TypedDict key to be string literal" ) TYPEDDICT_OVERRIDE_MERGE: Final = 'Overwriting TypedDict field "{}" while merging' MALFORMED_ASSERT: Final = ErrorMessage("Assertion is always true, perhaps remove parentheses?") DUPLICATE_TYPE_SIGNATURES: Final = ErrorMessage("Function has duplicate type signatures") DESCRIPTOR_SET_NOT_CALLABLE: Final = ErrorMessage("{}.__set__ is not callable") DESCRIPTOR_GET_NOT_CALLABLE: Final = "{}.__get__ is not callable" MODULE_LEVEL_GETATTRIBUTE: Final = ErrorMessage( "__getattribute__ is not valid at the module level" ) CLASS_VAR_CONFLICTS_SLOTS: Final = '"{}" in __slots__ conflicts with class variable access' NAME_NOT_IN_SLOTS: Final = ErrorMessage( 'Trying to assign name "{}" that is not in "__slots__" of type "{}"' ) TYPE_ALWAYS_TRUE: Final = ErrorMessage( "{} which does not implement __bool__ or __len__ " "so it could always be true in boolean context", code=codes.TRUTHY_BOOL, ) TYPE_ALWAYS_TRUE_UNIONTYPE: Final = ErrorMessage( "{} of which no members implement __bool__ or __len__ " "so it could always be true in boolean context", code=codes.TRUTHY_BOOL, ) FUNCTION_ALWAYS_TRUE: Final = ErrorMessage( "Function {} could always be true in boolean context", code=codes.TRUTHY_FUNCTION ) ITERABLE_ALWAYS_TRUE: Final = ErrorMessage( "{} which can always be true in boolean context. Consider using {} instead.", code=codes.TRUTHY_ITERABLE, ) NOT_CALLABLE: Final = "{} not callable" TYPE_MUST_BE_USED: Final = "Value of type {} must be used" # Generic GENERIC_INSTANCE_VAR_CLASS_ACCESS: Final = ( "Access to generic instance variables via class is ambiguous" ) GENERIC_CLASS_VAR_ACCESS: Final = "Access to generic class variables is ambiguous" BARE_GENERIC: Final = "Missing type parameters for generic type {}" IMPLICIT_GENERIC_ANY_BUILTIN: Final = ( 'Implicit generic "Any". Use "{}" and specify generic parameters' ) INVALID_UNPACK: Final = "{} cannot be unpacked (must be tuple or TypeVarTuple)" INVALID_UNPACK_POSITION: Final = "Unpack is only valid in a variadic position" INVALID_PARAM_SPEC_LOCATION: Final = "Invalid location for ParamSpec {}" INVALID_PARAM_SPEC_LOCATION_NOTE: Final = ( 'You can use ParamSpec as the first argument to Callable, e.g., "Callable[{}, int]"' ) # TypeVar INCOMPATIBLE_TYPEVAR_VALUE: Final = 'Value of type variable "{}" of {} cannot be {}' INVALID_TYPEVAR_AS_TYPEARG: Final = 'Type variable "{}" not valid as type argument value for "{}"' INVALID_TYPEVAR_ARG_BOUND: Final = 'Type argument {} of "{}" must be a subtype of {}' INVALID_TYPEVAR_ARG_VALUE: Final = 'Invalid type argument value for "{}"' TYPEVAR_VARIANCE_DEF: Final = 'TypeVar "{}" may only be a literal bool' TYPEVAR_ARG_MUST_BE_TYPE: Final = '{} "{}" must be a type' TYPEVAR_UNEXPECTED_ARGUMENT: Final = 'Unexpected argument to "TypeVar()"' UNBOUND_TYPEVAR: Final = ( "A function returning TypeVar should receive at least one argument containing the same TypeVar" ) TYPE_PARAMETERS_SHOULD_BE_DECLARED: Final = ( "All type parameters should be declared ({} not declared)" ) # Super TOO_MANY_ARGS_FOR_SUPER: Final = ErrorMessage('Too many arguments for "super"') SUPER_WITH_SINGLE_ARG_NOT_SUPPORTED: Final = ErrorMessage( '"super" with a single argument not supported' ) UNSUPPORTED_ARG_1_FOR_SUPER: Final = ErrorMessage('Unsupported argument 1 for "super"') UNSUPPORTED_ARG_2_FOR_SUPER: Final = ErrorMessage('Unsupported argument 2 for "super"') SUPER_VARARGS_NOT_SUPPORTED: Final = ErrorMessage('Varargs not supported with "super"') SUPER_POSITIONAL_ARGS_REQUIRED: Final = ErrorMessage('"super" only accepts positional arguments') SUPER_ARG_2_NOT_INSTANCE_OF_ARG_1: Final = ErrorMessage( 'Argument 2 for "super" not an instance of argument 1' ) TARGET_CLASS_HAS_NO_BASE_CLASS: Final = ErrorMessage("Target class has no base class") SUPER_OUTSIDE_OF_METHOD_NOT_SUPPORTED: Final = ErrorMessage( '"super()" outside of a method is not supported' ) SUPER_ENCLOSING_POSITIONAL_ARGS_REQUIRED: Final = ErrorMessage( '"super()" requires one or two positional arguments in enclosing function' ) # Self-type MISSING_OR_INVALID_SELF_TYPE: Final = ErrorMessage( "Self argument missing for a non-static method (or an invalid type for self)" ) ERASED_SELF_TYPE_NOT_SUPERTYPE: Final = ErrorMessage( 'The erased type of self "{}" is not a supertype of its class "{}"' ) # Final CANNOT_INHERIT_FROM_FINAL: Final = ErrorMessage('Cannot inherit from final class "{}"') DEPENDENT_FINAL_IN_CLASS_BODY: Final = ErrorMessage( "Final name declared in class body cannot depend on type variables" ) CANNOT_ACCESS_FINAL_INSTANCE_ATTR: Final = ( 'Cannot access final instance attribute "{}" on class object' ) CANNOT_MAKE_DELETABLE_FINAL: Final = ErrorMessage("Deletable attribute cannot be final") # Disjoint bases INCOMPATIBLE_DISJOINT_BASES: Final = ErrorMessage('Class "{}" has incompatible disjoint bases') # Enum ENUM_MEMBERS_ATTR_WILL_BE_OVERRIDDEN: Final = ErrorMessage( 'Assigned "__members__" will be overridden by "Enum" internally' ) # ClassVar CANNOT_OVERRIDE_INSTANCE_VAR: Final = ErrorMessage( 'Cannot override instance variable (previously declared on base class "{}") with class ' "variable" ) CANNOT_OVERRIDE_CLASS_VAR: Final = ErrorMessage( 'Cannot override class variable (previously declared on base class "{}") with instance ' "variable" ) CLASS_VAR_WITH_GENERIC_SELF: Final = "ClassVar cannot contain Self type in generic classes" CLASS_VAR_OUTSIDE_OF_CLASS: Final = "ClassVar can only be used for assignments in class body" # Protocol RUNTIME_PROTOCOL_EXPECTED: Final = ErrorMessage( "Only @runtime_checkable protocols can be used with instance and class checks" ) CANNOT_INSTANTIATE_PROTOCOL: Final = ErrorMessage('Cannot instantiate protocol class "{}"') TOO_MANY_UNION_COMBINATIONS: Final = ErrorMessage( "Not all union combinations were tried because there are too many unions" ) CONTIGUOUS_ITERABLE_EXPECTED: Final = ErrorMessage("Contiguous iterable with same type expected") ITERABLE_TYPE_EXPECTED: Final = ErrorMessage("Invalid type '{}' for *expr (iterable expected)") TYPE_GUARD_POS_ARG_REQUIRED: Final = ErrorMessage("Type {} requires positional argument") # Match Statement MISSING_MATCH_ARGS: Final = 'Class "{}" doesn\'t define "__match_args__"' OR_PATTERN_ALTERNATIVE_NAMES: Final = "Alternative patterns bind different names" CLASS_PATTERN_GENERIC_TYPE_ALIAS: Final = ( "Class pattern class must not be a type alias with type parameters" ) CLASS_PATTERN_TYPE_REQUIRED: Final = 'Expected type in class pattern; found "{}"' CLASS_PATTERN_TOO_MANY_POSITIONAL_ARGS: Final = "Too many positional patterns for class pattern" CLASS_PATTERN_KEYWORD_MATCHES_POSITIONAL: Final = ( 'Keyword "{}" already matches a positional pattern' ) CLASS_PATTERN_DUPLICATE_KEYWORD_PATTERN: Final = 'Duplicate keyword pattern "{}"' CLASS_PATTERN_UNKNOWN_KEYWORD: Final = 'Class "{}" has no attribute "{}"' CLASS_PATTERN_CLASS_OR_STATIC_METHOD: Final = "Cannot have both classmethod and staticmethod" MULTIPLE_ASSIGNMENTS_IN_PATTERN: Final = 'Multiple assignments to name "{}" in pattern' CANNOT_MODIFY_MATCH_ARGS: Final = 'Cannot assign to "__match_args__"' DATACLASS_FIELD_ALIAS_MUST_BE_LITERAL: Final = ( '"alias" argument to dataclass field must be a string literal' ) DATACLASS_POST_INIT_MUST_BE_A_FUNCTION: Final = '"__post_init__" method must be an instance method' # fastparse FAILED_TO_MERGE_OVERLOADS: Final = ErrorMessage( "Condition can't be inferred, unable to merge overloads" ) TYPE_IGNORE_WITH_ERRCODE_ON_MODULE: Final = ErrorMessage( "type ignore with error code is not supported for modules; " 'use `# mypy: disable-error-code="{}"`', codes.SYNTAX, ) INVALID_TYPE_IGNORE: Final = ErrorMessage('Invalid "type: ignore" comment', codes.SYNTAX) TYPE_COMMENT_SYNTAX_ERROR_VALUE: Final = ErrorMessage( 'Syntax error in type comment "{}"', codes.SYNTAX ) ELLIPSIS_WITH_OTHER_TYPEARGS: Final = ErrorMessage( "Ellipses cannot accompany other argument types in function type signature", codes.SYNTAX ) TYPE_SIGNATURE_TOO_MANY_ARGS: Final = ErrorMessage( "Type signature has too many arguments", codes.SYNTAX ) TYPE_SIGNATURE_TOO_FEW_ARGS: Final = ErrorMessage( "Type signature has too few arguments", codes.SYNTAX ) ARG_CONSTRUCTOR_NAME_EXPECTED: Final = ErrorMessage("Expected arg constructor name", codes.SYNTAX) ARG_CONSTRUCTOR_TOO_MANY_ARGS: Final = ErrorMessage( "Too many arguments for argument constructor", codes.SYNTAX ) MULTIPLE_VALUES_FOR_NAME_KWARG: Final = ErrorMessage( '"{}" gets multiple values for keyword argument "name"', codes.SYNTAX ) MULTIPLE_VALUES_FOR_TYPE_KWARG: Final = ErrorMessage( '"{}" gets multiple values for keyword argument "type"', codes.SYNTAX ) ARG_CONSTRUCTOR_UNEXPECTED_ARG: Final = ErrorMessage( 'Unexpected argument "{}" for argument constructor', codes.SYNTAX ) ARG_NAME_EXPECTED_STRING_LITERAL: Final = ErrorMessage( "Expected string literal for argument name, got {}", codes.SYNTAX ) NARROWED_TYPE_NOT_SUBTYPE: Final = ErrorMessage( "Narrowed type {} is not a subtype of input type {}", codes.NARROWED_TYPE_NOT_SUBTYPE ) TYPE_VAR_TOO_FEW_CONSTRAINED_TYPES: Final = ErrorMessage( "Type variable must have at least two constrained types", codes.MISC ) TYPE_VAR_YIELD_EXPRESSION_IN_BOUND: Final = ErrorMessage( "Yield expression cannot be used as a type variable bound", codes.SYNTAX ) TYPE_VAR_NAMED_EXPRESSION_IN_BOUND: Final = ErrorMessage( "Named expression cannot be used as a type variable bound", codes.SYNTAX ) TYPE_VAR_AWAIT_EXPRESSION_IN_BOUND: Final = ErrorMessage( "Await expression cannot be used as a type variable bound", codes.SYNTAX ) TYPE_VAR_GENERIC_CONSTRAINT_TYPE: Final = ErrorMessage( "TypeVar constraint type cannot be parametrized by type variables", codes.MISC ) TYPE_VAR_REDECLARED_IN_NESTED_CLASS: Final = ErrorMessage( 'Type variable "{}" is bound by an outer class', codes.VALID_TYPE ) TYPE_ALIAS_WITH_YIELD_EXPRESSION: Final = ErrorMessage( "Yield expression cannot be used within a type alias", codes.SYNTAX ) TYPE_ALIAS_WITH_NAMED_EXPRESSION: Final = ErrorMessage( "Named expression cannot be used within a type alias", codes.SYNTAX ) TYPE_ALIAS_WITH_AWAIT_EXPRESSION: Final = ErrorMessage( "Await expression cannot be used within a type alias", codes.SYNTAX ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/messages.py0000644000175100017510000041303115112307767015440 0ustar00runnerrunner"""Facilities for generating error messages during type checking. Don't add any non-trivial message construction logic to the type checker, as it can compromise clarity and make messages less consistent. Add such logic to this module instead. Literal messages, including those with format args, should be defined as constants in mypy.message_registry. Historically we tried to avoid all message string literals in the type checker but we are moving away from this convention. """ from __future__ import annotations import difflib import itertools import re from collections.abc import Collection, Iterable, Iterator, Sequence from contextlib import contextmanager from textwrap import dedent from typing import Any, Callable, Final, cast import mypy.typeops from mypy import errorcodes as codes, message_registry from mypy.erasetype import erase_type from mypy.errorcodes import ErrorCode from mypy.errors import ( ErrorInfo, Errors, ErrorWatcher, IterationDependentErrors, IterationErrorWatcher, ) from mypy.nodes import ( ARG_NAMED, ARG_NAMED_OPT, ARG_OPT, ARG_POS, ARG_STAR, ARG_STAR2, CONTRAVARIANT, COVARIANT, SYMBOL_FUNCBASE_TYPES, ArgKind, CallExpr, ClassDef, Context, Expression, FuncDef, IndexExpr, MypyFile, NameExpr, ReturnStmt, StrExpr, SymbolNode, SymbolTable, TypeInfo, Var, get_func_def, reverse_builtin_aliases, ) from mypy.operators import op_methods, op_methods_to_symbols from mypy.options import Options from mypy.subtypes import ( IS_CLASS_OR_STATIC, IS_CLASSVAR, IS_EXPLICIT_SETTER, IS_SETTABLE, IS_VAR, find_member, get_member_flags, is_same_type, is_subtype, ) from mypy.typeops import separate_union_literals from mypy.types import ( AnyType, CallableType, DeletedType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeStrVisitor, TypeType, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, flatten_nested_unions, get_proper_type, get_proper_types, ) from mypy.typetraverser import TypeTraverserVisitor from mypy.util import plural_s, unmangle TYPES_FOR_UNIMPORTED_HINTS: Final = { "typing.Any", "typing.Callable", "typing.Dict", "typing.Iterable", "typing.Iterator", "typing.List", "typing.Optional", "typing.Set", "typing.Tuple", "typing.TypeVar", "typing.Union", "typing.cast", } ARG_CONSTRUCTOR_NAMES: Final = { ARG_POS: "Arg", ARG_OPT: "DefaultArg", ARG_NAMED: "NamedArg", ARG_NAMED_OPT: "DefaultNamedArg", ARG_STAR: "VarArg", ARG_STAR2: "KwArg", } # Map from the full name of a missing definition to the test fixture (under # test-data/unit/fixtures/) that provides the definition. This is used for # generating better error messages when running mypy tests only. SUGGESTED_TEST_FIXTURES: Final = { "builtins.set": "set.pyi", "builtins.tuple": "tuple.pyi", "builtins.bool": "bool.pyi", "builtins.Exception": "exception.pyi", "builtins.BaseException": "exception.pyi", "builtins.isinstance": "isinstancelist.pyi", "builtins.property": "property.pyi", "builtins.classmethod": "classmethod.pyi", "typing._SpecialForm": "typing-medium.pyi", } UNSUPPORTED_NUMBERS_TYPES: Final = { "numbers.Number", "numbers.Complex", "numbers.Real", "numbers.Rational", "numbers.Integral", } MAX_TUPLE_ITEMS = 10 MAX_UNION_ITEMS = 10 class MessageBuilder: """Helper class for reporting type checker error messages with parameters. The methods of this class need to be provided with the context within a file; the errors member manages the wider context. IDEA: Support a 'verbose mode' that includes full information about types in error messages and that may otherwise produce more detailed error messages. """ # Report errors using this instance. It knows about the current file and # import context. errors: Errors modules: dict[str, MypyFile] # Hack to deduplicate error messages from union types _disable_type_names: list[bool] def __init__(self, errors: Errors, modules: dict[str, MypyFile]) -> None: self.errors = errors self.options = errors.options self.modules = modules self._disable_type_names = [] # # Helpers # def filter_errors( self, *, filter_errors: bool | Callable[[str, ErrorInfo], bool] = True, save_filtered_errors: bool = False, filter_deprecated: bool = False, filter_revealed_type: bool = False, ) -> ErrorWatcher: return ErrorWatcher( self.errors, filter_errors=filter_errors, save_filtered_errors=save_filtered_errors, filter_deprecated=filter_deprecated, filter_revealed_type=filter_revealed_type, ) def add_errors(self, errors: list[ErrorInfo]) -> None: """Add errors in messages to this builder.""" for info in errors: self.errors.add_error_info(info) @contextmanager def disable_type_names(self) -> Iterator[None]: self._disable_type_names.append(True) try: yield finally: self._disable_type_names.pop() def are_type_names_disabled(self) -> bool: return len(self._disable_type_names) > 0 and self._disable_type_names[-1] def prefer_simple_messages(self) -> bool: """Should we generate simple/fast error messages? If errors aren't shown to the user, we don't want to waste cycles producing complex error messages. """ return self.errors.prefer_simple_messages() def report( self, msg: str, context: Context | None, severity: str, *, code: ErrorCode | None = None, file: str | None = None, origin: Context | None = None, offset: int = 0, secondary_context: Context | None = None, parent_error: ErrorInfo | None = None, ) -> ErrorInfo: """Report an error or note (unless disabled). Note that context controls where error is reported, while origin controls where # type: ignore comments have effect. """ def span_from_context(ctx: Context) -> Iterable[int]: """This determines where a type: ignore for a given context has effect. Current logic is a bit tricky, to keep as much backwards compatibility as possible. We may reconsider this to always be a single line (or otherwise simplify it) when we drop Python 3.7. TODO: address this in follow up PR """ if isinstance(ctx, (ClassDef, FuncDef)): return range(ctx.line, ctx.line + 1) elif not isinstance(ctx, Expression): return [ctx.line] else: return range(ctx.line, (ctx.end_line or ctx.line) + 1) origin_span: Iterable[int] | None if origin is not None: origin_span = span_from_context(origin) elif context is not None: origin_span = span_from_context(context) else: origin_span = None if secondary_context is not None: assert origin_span is not None origin_span = itertools.chain(origin_span, span_from_context(secondary_context)) return self.errors.report( context.line if context else -1, context.column if context else -1, msg, severity=severity, file=file, offset=offset, origin_span=origin_span, end_line=context.end_line if context else -1, end_column=context.end_column if context else -1, code=code, parent_error=parent_error, ) def fail( self, msg: str, context: Context | None, *, code: ErrorCode | None = None, file: str | None = None, secondary_context: Context | None = None, ) -> ErrorInfo: """Report an error message (unless disabled).""" return self.report( msg, context, "error", code=code, file=file, secondary_context=secondary_context ) def note( self, msg: str, context: Context, file: str | None = None, origin: Context | None = None, offset: int = 0, *, code: ErrorCode | None = None, secondary_context: Context | None = None, parent_error: ErrorInfo | None = None, ) -> None: """Report a note (unless disabled).""" self.report( msg, context, "note", file=file, origin=origin, offset=offset, code=code, secondary_context=secondary_context, parent_error=parent_error, ) def note_multiline( self, messages: str, context: Context, file: str | None = None, offset: int = 0, code: ErrorCode | None = None, *, secondary_context: Context | None = None, ) -> None: """Report as many notes as lines in the message (unless disabled).""" for msg in messages.splitlines(): self.report( msg, context, "note", file=file, offset=offset, code=code, secondary_context=secondary_context, ) # # Specific operations # # The following operations are for generating specific error messages. They # get some information as arguments, and they build an error message based # on them. def has_no_attr( self, original_type: Type, typ: Type, member: str, context: Context, module_symbol_table: SymbolTable | None = None, ) -> ErrorCode | None: """Report a missing or non-accessible member. original_type is the top-level type on which the error occurred. typ is the actual type that is missing the member. These can be different, e.g., in a union, original_type will be the union and typ will be the specific item in the union that does not have the member attribute. 'module_symbol_table' is passed to this function if the type for which we are trying to get a member was originally a module. The SymbolTable allows us to look up and suggests attributes of the module since they are not directly available on original_type If member corresponds to an operator, use the corresponding operator name in the messages. Return the error code that was produced, if any. """ original_type = get_proper_type(original_type) typ = get_proper_type(typ) if isinstance(original_type, Instance) and original_type.type.has_readable_member(member): self.fail(f'Member "{member}" is not assignable', context) return None elif member == "__contains__": self.fail( f"Unsupported right operand type for in ({format_type(original_type, self.options)})", context, code=codes.OPERATOR, ) return codes.OPERATOR elif member in op_methods.values(): # Access to a binary operator member (e.g. _add). This case does # not handle indexing operations. for op, method in op_methods.items(): if method == member: self.unsupported_left_operand(op, original_type, context) return codes.OPERATOR elif member == "__neg__": self.fail( f"Unsupported operand type for unary - ({format_type(original_type, self.options)})", context, code=codes.OPERATOR, ) return codes.OPERATOR elif member == "__pos__": self.fail( f"Unsupported operand type for unary + ({format_type(original_type, self.options)})", context, code=codes.OPERATOR, ) return codes.OPERATOR elif member == "__invert__": self.fail( f"Unsupported operand type for ~ ({format_type(original_type, self.options)})", context, code=codes.OPERATOR, ) return codes.OPERATOR elif member == "__getitem__": # Indexed get. # TODO: Fix this consistently in format_type if isinstance(original_type, FunctionLike) and original_type.is_type_obj(): self.fail( "The type {} is not generic and not indexable".format( format_type(original_type, self.options) ), context, ) return None else: self.fail( f"Value of type {format_type(original_type, self.options)} is not indexable", context, code=codes.INDEX, ) return codes.INDEX elif member == "__setitem__": # Indexed set. self.fail( "Unsupported target for indexed assignment ({})".format( format_type(original_type, self.options) ), context, code=codes.INDEX, ) return codes.INDEX elif member == "__call__": if isinstance(original_type, Instance) and ( original_type.type.fullname == "builtins.function" ): # "'function' not callable" is a confusing error message. # Explain that the problem is that the type of the function is not known. self.fail("Cannot call function of unknown type", context, code=codes.OPERATOR) return codes.OPERATOR else: self.fail( message_registry.NOT_CALLABLE.format(format_type(original_type, self.options)), context, code=codes.OPERATOR, ) return codes.OPERATOR else: # The non-special case: a missing ordinary attribute. extra = "" if member == "__iter__": extra = " (not iterable)" elif member == "__aiter__": extra = " (not async iterable)" if not self.are_type_names_disabled(): failed = False if isinstance(original_type, Instance) and original_type.type.names: if ( module_symbol_table is not None and member in module_symbol_table and not module_symbol_table[member].module_public ): self.fail( f"{format_type(original_type, self.options, module_names=True)} does not " f'explicitly export attribute "{member}"', context, code=codes.ATTR_DEFINED, ) failed = True else: alternatives = set(original_type.type.names.keys()) if module_symbol_table is not None: alternatives |= { k for k, v in module_symbol_table.items() if v.module_public } # Rare but possible, see e.g. testNewAnalyzerCyclicDefinitionCrossModule alternatives.discard(member) matches = [m for m in COMMON_MISTAKES.get(member, []) if m in alternatives] matches.extend(best_matches(member, alternatives, n=3)) if member == "__aiter__" and matches == ["__iter__"]: matches = [] # Avoid misleading suggestion if matches: self.fail( '{} has no attribute "{}"; maybe {}?{}'.format( format_type(original_type, self.options), member, pretty_seq(matches, "or"), extra, ), context, code=codes.ATTR_DEFINED, ) failed = True if not failed: self.fail( '{} has no attribute "{}"{}'.format( format_type(original_type, self.options), member, extra ), context, code=codes.ATTR_DEFINED, ) return codes.ATTR_DEFINED elif isinstance(original_type, UnionType): # The checker passes "object" in lieu of "None" for attribute # checks, so we manually convert it back. typ_format, orig_type_format = format_type_distinctly( typ, original_type, options=self.options ) if typ_format == '"object"' and any( type(item) == NoneType for item in original_type.items ): typ_format = '"None"' self.fail( 'Item {} of {} has no attribute "{}"{}'.format( typ_format, orig_type_format, member, extra ), context, code=codes.UNION_ATTR, ) return codes.UNION_ATTR elif isinstance(original_type, TypeVarType): bound = get_proper_type(original_type.upper_bound) if isinstance(bound, UnionType): typ_fmt, bound_fmt = format_type_distinctly(typ, bound, options=self.options) original_type_fmt = format_type(original_type, self.options) self.fail( "Item {} of the upper bound {} of type variable {} has no " 'attribute "{}"{}'.format( typ_fmt, bound_fmt, original_type_fmt, member, extra ), context, code=codes.UNION_ATTR, ) return codes.UNION_ATTR else: self.fail( '{} has no attribute "{}"{}'.format( format_type(original_type, self.options), member, extra ), context, code=codes.ATTR_DEFINED, ) return codes.ATTR_DEFINED return None def unsupported_operand_types( self, op: str, left_type: Any, right_type: Any, context: Context, *, code: ErrorCode = codes.OPERATOR, ) -> ErrorInfo: """Report unsupported operand types for a binary operation. Types can be Type objects or strings. """ left_str = "" if isinstance(left_type, str): left_str = left_type else: left_str = format_type(left_type, self.options) right_str = "" if isinstance(right_type, str): right_str = right_type else: right_str = format_type(right_type, self.options) if self.are_type_names_disabled(): msg = f"Unsupported operand types for {op} (likely involving Union)" else: msg = f"Unsupported operand types for {op} ({left_str} and {right_str})" return self.fail(msg, context, code=code) def unsupported_left_operand(self, op: str, typ: Type, context: Context) -> None: if self.are_type_names_disabled(): msg = f"Unsupported left operand type for {op} (some union)" else: msg = f"Unsupported left operand type for {op} ({format_type(typ, self.options)})" self.fail(msg, context, code=codes.OPERATOR) def not_callable(self, typ: Type, context: Context) -> Type: self.fail(message_registry.NOT_CALLABLE.format(format_type(typ, self.options)), context) return AnyType(TypeOfAny.from_error) def untyped_function_call(self, callee: CallableType, context: Context) -> Type: name = callable_name(callee) or "(unknown)" self.fail( f"Call to untyped function {name} in typed context", context, code=codes.NO_UNTYPED_CALL, ) return AnyType(TypeOfAny.from_error) def incompatible_argument( self, n: int, m: int, callee: CallableType, arg_type: Type, arg_kind: ArgKind, object_type: Type | None, context: Context, outer_context: Context, ) -> ErrorInfo: """Report an error about an incompatible argument type. The argument type is arg_type, argument number is n and the callee type is 'callee'. If the callee represents a method that corresponds to an operator, use the corresponding operator name in the messages. Return the error code that used for the argument (multiple error codes are possible). """ arg_type = get_proper_type(arg_type) target = "" callee_name = callable_name(callee) if callee_name is not None: name = callee_name if object_type is not None: base = format_type(object_type, self.options) else: base = extract_type(name) if name.startswith('"__getitem__" of'): return self.invalid_index_type( arg_type, callee.arg_types[n - 1], base, context, code=codes.INDEX ) elif name.startswith('"__setitem__" of'): if n == 1: return self.invalid_index_type( arg_type, callee.arg_types[n - 1], base, context, code=codes.INDEX ) else: arg_type_str, callee_type_str = format_type_distinctly( arg_type, callee.arg_types[n - 1], options=self.options ) info = ( f" (expression has type {arg_type_str}, target has type {callee_type_str})" ) error_msg = ( message_registry.INCOMPATIBLE_TYPES_IN_ASSIGNMENT.with_additional_msg(info) ) return self.fail(error_msg.value, context, code=error_msg.code) elif name.startswith('"__'): for method, op in op_methods_to_symbols.items(): for variant in method, "__r" + method[2:]: # FIX: do not rely on textual formatting if name.startswith(f'"{variant}" of'): if op == "in" or variant != method: # Reversed order of base/argument. return self.unsupported_operand_types( op, arg_type, base, context, code=codes.OPERATOR ) else: return self.unsupported_operand_types( op, base, arg_type, context, code=codes.OPERATOR ) target = f"to {name} " msg = "" code = codes.MISC notes: list[str] = [] if callee_name == "": name = callee_name[1:-1] n -= 1 actual_type_str, expected_type_str = format_type_distinctly( arg_type, callee.arg_types[0], options=self.options ) msg = "{} item {} has incompatible type {}; expected {}".format( name.title(), n, actual_type_str, expected_type_str ) code = codes.LIST_ITEM elif callee_name == "" and isinstance( get_proper_type(callee.arg_types[n - 1]), TupleType ): name = callee_name[1:-1] n -= 1 key_type, value_type = cast(TupleType, arg_type).items expected_key_type, expected_value_type = cast(TupleType, callee.arg_types[n]).items # don't increase verbosity unless there is need to do so if is_subtype(key_type, expected_key_type): key_type_str = format_type(key_type, self.options) expected_key_type_str = format_type(expected_key_type, self.options) else: key_type_str, expected_key_type_str = format_type_distinctly( key_type, expected_key_type, options=self.options ) if is_subtype(value_type, expected_value_type): value_type_str = format_type(value_type, self.options) expected_value_type_str = format_type(expected_value_type, self.options) else: value_type_str, expected_value_type_str = format_type_distinctly( value_type, expected_value_type, options=self.options ) msg = "{} entry {} has incompatible type {}: {}; expected {}: {}".format( name.title(), n, key_type_str, value_type_str, expected_key_type_str, expected_value_type_str, ) code = codes.DICT_ITEM elif callee_name == "": value_type_str, expected_value_type_str = format_type_distinctly( arg_type, callee.arg_types[n - 1], options=self.options ) msg = "Unpacked dict entry {} has incompatible type {}; expected {}".format( n - 1, value_type_str, expected_value_type_str ) code = codes.DICT_ITEM elif callee_name == "": actual_type_str, expected_type_str = map( strip_quotes, format_type_distinctly(arg_type, callee.arg_types[0], options=self.options), ) msg = "List comprehension has incompatible type List[{}]; expected List[{}]".format( actual_type_str, expected_type_str ) elif callee_name == "": actual_type_str, expected_type_str = map( strip_quotes, format_type_distinctly(arg_type, callee.arg_types[0], options=self.options), ) msg = "Set comprehension has incompatible type Set[{}]; expected Set[{}]".format( actual_type_str, expected_type_str ) elif callee_name == "": actual_type_str, expected_type_str = format_type_distinctly( arg_type, callee.arg_types[n - 1], options=self.options ) msg = ( "{} expression in dictionary comprehension has incompatible type {}; " "expected type {}" ).format("Key" if n == 1 else "Value", actual_type_str, expected_type_str) elif callee_name == "": actual_type_str, expected_type_str = format_type_distinctly( arg_type, callee.arg_types[0], options=self.options ) msg = "Generator has incompatible item type {}; expected {}".format( actual_type_str, expected_type_str ) else: if self.prefer_simple_messages(): msg = "Argument has incompatible type" else: try: expected_type = callee.arg_types[m - 1] except IndexError: # Varargs callees expected_type = callee.arg_types[-1] arg_type_str, expected_type_str = format_type_distinctly( arg_type, expected_type, bare=True, options=self.options ) if arg_kind == ARG_STAR: arg_type_str = "*" + arg_type_str elif arg_kind == ARG_STAR2: arg_type_str = "**" + arg_type_str # For function calls with keyword arguments, display the argument name rather # than the number. arg_label = str(n) if isinstance(outer_context, CallExpr) and len(outer_context.arg_names) >= n: arg_name = outer_context.arg_names[n - 1] if arg_name is not None: arg_label = f'"{arg_name}"' if ( arg_kind == ARG_STAR2 and isinstance(arg_type, TypedDictType) and m <= len(callee.arg_names) and callee.arg_names[m - 1] is not None and callee.arg_kinds[m - 1] != ARG_STAR2 ): arg_name = callee.arg_names[m - 1] assert arg_name is not None arg_type_str, expected_type_str = format_type_distinctly( arg_type.items[arg_name], expected_type, bare=True, options=self.options ) arg_label = f'"{arg_name}"' if isinstance(outer_context, IndexExpr) and isinstance( outer_context.index, StrExpr ): msg = 'Value of "{}" has incompatible type {}; expected {}'.format( outer_context.index.value, quote_type_string(arg_type_str), quote_type_string(expected_type_str), ) else: msg = "Argument {} {}has incompatible type {}; expected {}".format( arg_label, target, quote_type_string(arg_type_str), quote_type_string(expected_type_str), ) expected_type = get_proper_type(expected_type) if isinstance(expected_type, UnionType): expected_types = list(expected_type.items) else: expected_types = [expected_type] for type in get_proper_types(expected_types): if isinstance(arg_type, Instance) and isinstance(type, Instance): notes = append_invariance_notes(notes, arg_type, type) notes = append_numbers_notes(notes, arg_type, type) object_type = get_proper_type(object_type) if isinstance(object_type, TypedDictType): code = codes.TYPEDDICT_ITEM else: code = codes.ARG_TYPE error = self.fail(msg, context, code=code) if notes: for note_msg in notes: self.note(note_msg, context, code=code) return error def incompatible_argument_note( self, original_caller_type: ProperType, callee_type: ProperType, context: Context, parent_error: ErrorInfo, ) -> None: if self.prefer_simple_messages(): return if isinstance( original_caller_type, (Instance, TupleType, TypedDictType, TypeType, CallableType) ): if isinstance(callee_type, Instance) and callee_type.type.is_protocol: self.report_protocol_problems( original_caller_type, callee_type, context, parent_error=parent_error ) if isinstance(callee_type, UnionType): for item in callee_type.items: item = get_proper_type(item) if isinstance(item, Instance) and item.type.is_protocol: self.report_protocol_problems( original_caller_type, item, context, parent_error=parent_error ) if isinstance(callee_type, CallableType) and isinstance(original_caller_type, Instance): call = find_member( "__call__", original_caller_type, original_caller_type, is_operator=True ) if call: self.note_call(original_caller_type, call, context, code=parent_error.code) if isinstance(callee_type, Instance) and callee_type.type.is_protocol: call = find_member("__call__", callee_type, callee_type, is_operator=True) if call: self.note_call(callee_type, call, context, code=parent_error.code) self.maybe_note_concatenate_pos_args( original_caller_type, callee_type, context, parent_error.code ) def maybe_note_concatenate_pos_args( self, original_caller_type: ProperType, callee_type: ProperType, context: Context, code: ErrorCode | None = None, ) -> None: # pos-only vs positional can be confusing, with Concatenate if ( isinstance(callee_type, CallableType) and isinstance(original_caller_type, CallableType) and (original_caller_type.from_concatenate or callee_type.from_concatenate) ): names: list[str] = [] for c, o in zip( callee_type.formal_arguments(), original_caller_type.formal_arguments() ): if None in (c.pos, o.pos): # non-positional continue if c.name != o.name and c.name is None and o.name is not None: names.append(o.name) if names: missing_arguments = '"' + '", "'.join(names) + '"' self.note( f'This is likely because "{original_caller_type.name}" has named arguments: ' f"{missing_arguments}. Consider marking them positional-only", context, code=code, ) def invalid_index_type( self, index_type: Type, expected_type: Type, base_str: str, context: Context, *, code: ErrorCode, ) -> ErrorInfo: index_str, expected_str = format_type_distinctly( index_type, expected_type, options=self.options ) return self.fail( "Invalid index type {} for {}; expected type {}".format( index_str, base_str, expected_str ), context, code=code, ) def readonly_keys_mutated(self, keys: set[str], context: Context) -> None: if len(keys) == 1: suffix = "is" else: suffix = "are" self.fail( "ReadOnly {} TypedDict {} mutated".format(format_key_list(sorted(keys)), suffix), code=codes.TYPEDDICT_READONLY_MUTATED, context=context, ) def too_few_arguments( self, callee: CallableType, context: Context, argument_names: Sequence[str | None] | None ) -> None: if self.prefer_simple_messages(): msg = "Too few arguments" elif argument_names is not None: num_positional_args = sum(k is None for k in argument_names) arguments_left = callee.arg_names[num_positional_args : callee.min_args] diff = [k for k in arguments_left if k not in argument_names] if len(diff) == 1: msg = "Missing positional argument" else: msg = "Missing positional arguments" callee_name = callable_name(callee) if callee_name is not None and diff and all(d is not None for d in diff): args = '", "'.join(cast(list[str], diff)) msg += f' "{args}" in call to {callee_name}' else: msg = "Too few arguments" + for_function(callee) else: msg = "Too few arguments" + for_function(callee) self.fail(msg, context, code=codes.CALL_ARG) def missing_named_argument(self, callee: CallableType, context: Context, name: str) -> None: msg = f'Missing named argument "{name}"' + for_function(callee) self.fail(msg, context, code=codes.CALL_ARG) def too_many_arguments(self, callee: CallableType, context: Context) -> None: if self.prefer_simple_messages(): msg = "Too many arguments" else: msg = "Too many arguments" + for_function(callee) self.fail(msg, context, code=codes.CALL_ARG) self.maybe_note_about_special_args(callee, context) def too_many_arguments_from_typed_dict( self, callee: CallableType, arg_type: TypedDictType, context: Context ) -> None: # Try to determine the name of the extra argument. for key in arg_type.items: if key not in callee.arg_names: msg = f'Extra argument "{key}" from **args' + for_function(callee) break else: self.too_many_arguments(callee, context) return self.fail(msg, context) def too_many_positional_arguments(self, callee: CallableType, context: Context) -> None: if self.prefer_simple_messages(): msg = "Too many positional arguments" else: msg = "Too many positional arguments" + for_function(callee) self.fail(msg, context) self.maybe_note_about_special_args(callee, context) def maybe_note_about_special_args(self, callee: CallableType, context: Context) -> None: if self.prefer_simple_messages(): return # https://github.com/python/mypy/issues/11309 first_arg = get_first_arg(callee) if first_arg and first_arg not in {"self", "cls", "mcs"}: self.note( "Looks like the first special argument in a method " 'is not named "self", "cls", or "mcs", ' "maybe it is missing?", context, ) def unexpected_keyword_argument_for_function( self, for_func: str, name: str, context: Context, *, matches: list[str] | None = None ) -> None: msg = f'Unexpected keyword argument "{name}"' + for_func if matches: msg += f"; did you mean {pretty_seq(matches, 'or')}?" self.fail(msg, context, code=codes.CALL_ARG) def unexpected_keyword_argument( self, callee: CallableType, name: str, arg_type: Type, context: Context ) -> None: # Suggest intended keyword, look for type match else fallback on any match. matching_type_args = [] not_matching_type_args = [] for i, kwarg_type in enumerate(callee.arg_types): callee_arg_name = callee.arg_names[i] if callee_arg_name is not None and callee.arg_kinds[i] != ARG_STAR: if is_subtype(arg_type, kwarg_type): matching_type_args.append(callee_arg_name) else: not_matching_type_args.append(callee_arg_name) matches = best_matches(name, matching_type_args, n=3) if not matches: matches = best_matches(name, not_matching_type_args, n=3) self.unexpected_keyword_argument_for_function( for_function(callee), name, context, matches=matches ) module = find_defining_module(self.modules, callee) if module: assert callee.definition is not None fname = callable_name(callee) if not fname: # an alias to function with a different name fname = "Called function" self.note( f"{fname} defined here", callee.definition, file=module.path, origin=context, code=codes.CALL_ARG, ) def duplicate_argument_value(self, callee: CallableType, index: int, context: Context) -> None: self.fail( '{} gets multiple values for keyword argument "{}"'.format( callable_name(callee) or "Function", callee.arg_names[index] ), context, ) def does_not_return_value(self, callee_type: Type | None, context: Context) -> None: """Report an error about use of an unusable type.""" callee_type = get_proper_type(callee_type) callee_name = callable_name(callee_type) if isinstance(callee_type, FunctionLike) else None name = callee_name or "Function" message = f"{name} does not return a value (it only ever returns None)" self.fail(message, context, code=codes.FUNC_RETURNS_VALUE) def deleted_as_rvalue(self, typ: DeletedType, context: Context) -> None: """Report an error about using an deleted type as an rvalue.""" if typ.source is None: s = "" else: s = f' "{typ.source}"' self.fail(f"Trying to read deleted variable{s}", context) def deleted_as_lvalue(self, typ: DeletedType, context: Context) -> None: """Report an error about using an deleted type as an lvalue. Currently, this only occurs when trying to assign to an exception variable outside the local except: blocks. """ if typ.source is None: s = "" else: s = f' "{typ.source}"' self.fail(f"Assignment to variable{s} outside except: block", context) def no_variant_matches_arguments( self, overload: Overloaded, arg_types: list[Type], context: Context, *, code: ErrorCode | None = None, ) -> None: code = code or codes.CALL_OVERLOAD name = callable_name(overload) if name: name_str = f" of {name}" else: name_str = "" arg_types_str = ", ".join(format_type(arg, self.options) for arg in arg_types) num_args = len(arg_types) if num_args == 0: self.fail( f"All overload variants{name_str} require at least one argument", context, code=code, ) elif num_args == 1: self.fail( f"No overload variant{name_str} matches argument type {arg_types_str}", context, code=code, ) else: self.fail( f"No overload variant{name_str} matches argument types {arg_types_str}", context, code=code, ) self.note(f"Possible overload variant{plural_s(len(overload.items))}:", context, code=code) for item in overload.items: self.note(pretty_callable(item, self.options), context, offset=4, code=code) def wrong_number_values_to_unpack( self, provided: int, expected: int, context: Context ) -> None: if provided < expected: if provided == 1: self.fail(f"Need more than 1 value to unpack ({expected} expected)", context) else: self.fail( f"Need more than {provided} values to unpack ({expected} expected)", context ) elif provided > expected: self.fail( f"Too many values to unpack ({expected} expected, {provided} provided)", context ) def unpacking_strings_disallowed(self, context: Context) -> None: self.fail("Unpacking a string is disallowed", context) def type_not_iterable(self, type: Type, context: Context) -> None: self.fail(f"{format_type(type, self.options)} object is not iterable", context) def possible_missing_await(self, context: Context, code: ErrorCode | None) -> None: self.note('Maybe you forgot to use "await"?', context, code=code) def incompatible_operator_assignment(self, op: str, context: Context) -> None: self.fail(f"Result type of {op} incompatible in assignment", context) def overload_signature_incompatible_with_supertype( self, name: str, name_in_super: str, supertype: str, context: Context ) -> None: target = self.override_target(name, name_in_super, supertype) self.fail( f'Signature of "{name}" incompatible with {target}', context, code=codes.OVERRIDE ) note_template = 'Overload variants must be defined in the same order as they are in "{}"' self.note(note_template.format(supertype), context, code=codes.OVERRIDE) def incompatible_setter_override( self, defn: Context, typ: Type, original_type: Type, base: TypeInfo ) -> None: self.fail("Incompatible override of a setter type", defn, code=codes.OVERRIDE) base_str, override_str = format_type_distinctly(original_type, typ, options=self.options) self.note( f' (base class "{base.name}" defined the type as {base_str},', defn, code=codes.OVERRIDE, ) self.note(f" override has type {override_str})", defn, code=codes.OVERRIDE) if is_subtype(typ, original_type): self.note(" Setter types should behave contravariantly", defn, code=codes.OVERRIDE) def signature_incompatible_with_supertype( self, name: str, name_in_super: str, supertype: str, context: Context, *, original: ProperType, override: ProperType, ) -> None: target = self.override_target(name, name_in_super, supertype) error = self.fail( f'Signature of "{name}" incompatible with {target}', context, code=codes.OVERRIDE ) original_str, override_str = format_type_distinctly( original, override, options=self.options, bare=True ) INCLUDE_DECORATOR = True # Include @classmethod and @staticmethod decorators, if any ALIGN_OFFSET = 1 # One space, to account for the difference between error and note OFFSET = 4 # Four spaces, so that notes will look like this: # error: Signature of "f" incompatible with supertype "A" # note: Superclass: # note: def f(self) -> str # note: Subclass: # note: def f(self, x: str) -> None self.note("Superclass:", context, offset=ALIGN_OFFSET + OFFSET, parent_error=error) if isinstance(original, (CallableType, Overloaded)): self.pretty_callable_or_overload( original, context, offset=ALIGN_OFFSET + 2 * OFFSET, add_class_or_static_decorator=INCLUDE_DECORATOR, parent_error=error, ) else: self.note(original_str, context, offset=ALIGN_OFFSET + 2 * OFFSET, parent_error=error) self.note("Subclass:", context, offset=ALIGN_OFFSET + OFFSET, parent_error=error) if isinstance(override, (CallableType, Overloaded)): self.pretty_callable_or_overload( override, context, offset=ALIGN_OFFSET + 2 * OFFSET, add_class_or_static_decorator=INCLUDE_DECORATOR, parent_error=error, ) else: self.note(override_str, context, offset=ALIGN_OFFSET + 2 * OFFSET, parent_error=error) def pretty_callable_or_overload( self, tp: CallableType | Overloaded, context: Context, *, parent_error: ErrorInfo, offset: int = 0, add_class_or_static_decorator: bool = False, ) -> None: if isinstance(tp, CallableType): if add_class_or_static_decorator: decorator = pretty_class_or_static_decorator(tp) if decorator is not None: self.note(decorator, context, offset=offset, parent_error=parent_error) self.note( pretty_callable(tp, self.options), context, offset=offset, parent_error=parent_error, ) elif isinstance(tp, Overloaded): self.pretty_overload( tp, context, offset, add_class_or_static_decorator=add_class_or_static_decorator, parent_error=parent_error, ) def argument_incompatible_with_supertype( self, arg_num: int, name: str, type_name: str | None, name_in_supertype: str, arg_type_in_supertype: Type, supertype: str, context: Context, secondary_context: Context, ) -> None: target = self.override_target(name, name_in_supertype, supertype) arg_type_in_supertype_f = format_type_bare(arg_type_in_supertype, self.options) self.fail( 'Argument {} of "{}" is incompatible with {}; ' 'supertype defines the argument type as "{}"'.format( arg_num, name, target, arg_type_in_supertype_f ), context, code=codes.OVERRIDE, secondary_context=secondary_context, ) if name != "__post_init__": # `__post_init__` is special, it can be incompatible by design. # So, this note is misleading. self.note( "This violates the Liskov substitution principle", context, code=codes.OVERRIDE, secondary_context=secondary_context, ) self.note( "See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides", context, code=codes.OVERRIDE, secondary_context=secondary_context, ) if name == "__eq__" and type_name: multiline_msg = self.comparison_method_example_msg(class_name=type_name) self.note_multiline( multiline_msg, context, code=codes.OVERRIDE, secondary_context=secondary_context ) def comparison_method_example_msg(self, class_name: str) -> str: return dedent( """\ It is recommended for "__eq__" to work with arbitrary objects, for example: def __eq__(self, other: object) -> bool: if not isinstance(other, {class_name}): return NotImplemented return """.format( class_name=class_name ) ) def return_type_incompatible_with_supertype( self, name: str, name_in_supertype: str, supertype: str, original: Type, override: Type, context: Context, ) -> None: target = self.override_target(name, name_in_supertype, supertype) override_str, original_str = format_type_distinctly( override, original, options=self.options ) self.fail( 'Return type {} of "{}" incompatible with return type {} in {}'.format( override_str, name, original_str, target ), context, code=codes.OVERRIDE, ) original = get_proper_type(original) override = get_proper_type(override) if ( isinstance(original, Instance) and isinstance(override, Instance) and override.type.fullname == "typing.AsyncIterator" and original.type.fullname == "typing.Coroutine" and len(original.args) == 3 and original.args[2] == override ): self.note(f'Consider declaring "{name}" in {target} without "async"', context) self.note( "See https://mypy.readthedocs.io/en/stable/more_types.html#asynchronous-iterators", context, ) def override_target(self, name: str, name_in_super: str, supertype: str) -> str: target = f'supertype "{supertype}"' if name_in_super != name: target = f'"{name_in_super}" of {target}' return target def incompatible_type_application( self, min_arg_count: int, max_arg_count: int, actual_arg_count: int, context: Context ) -> None: if max_arg_count == 0: self.fail("Type application targets a non-generic function or class", context) return if min_arg_count == max_arg_count: s = f"{max_arg_count} expected" else: s = f"expected between {min_arg_count} and {max_arg_count}" if actual_arg_count > max_arg_count: self.fail(f"Type application has too many types ({s})", context) else: self.fail(f"Type application has too few types ({s})", context) def could_not_infer_type_arguments( self, callee_type: CallableType, tv: TypeVarLikeType, context: Context ) -> None: callee_name = callable_name(callee_type) if callee_name is not None: self.fail( f"Cannot infer value of type parameter {format_type(tv, self.options)} of {callee_name}", context, ) if callee_name == "": # Invariance in key type causes more of these errors than we would want. self.note( "Try assigning the literal to a variable annotated as dict[, ]", context, ) else: self.fail("Cannot infer function type argument", context) def invalid_var_arg(self, typ: Type, context: Context) -> None: self.fail("Expected iterable as variadic argument", context) def invalid_keyword_var_arg(self, typ: Type, is_mapping: bool, context: Context) -> None: typ = get_proper_type(typ) if isinstance(typ, Instance) and is_mapping: self.fail("Keywords must be strings", context) else: self.fail( f"Argument after ** must be a mapping, not {format_type(typ, self.options)}", context, code=codes.ARG_TYPE, ) def undefined_in_superclass(self, member: str, context: Context) -> None: self.fail(f'"{member}" undefined in superclass', context) def variable_may_be_undefined(self, name: str, context: Context) -> None: self.fail(f'Name "{name}" may be undefined', context, code=codes.POSSIBLY_UNDEFINED) def var_used_before_def(self, name: str, context: Context) -> None: self.fail(f'Name "{name}" is used before definition', context, code=codes.USED_BEFORE_DEF) def first_argument_for_super_must_be_type(self, actual: Type, context: Context) -> None: actual = get_proper_type(actual) if isinstance(actual, Instance): # Don't include type of instance, because it can look confusingly like a type # object. type_str = "a non-type instance" else: type_str = format_type(actual, self.options) self.fail( f'Argument 1 for "super" must be a type object; got {type_str}', context, code=codes.ARG_TYPE, ) def unsafe_super(self, method: str, cls: str, ctx: Context) -> None: self.fail( f'Call to abstract method "{method}" of "{cls}" with trivial body via super() is unsafe', ctx, code=codes.SAFE_SUPER, ) def too_few_string_formatting_arguments(self, context: Context) -> None: self.fail("Not enough arguments for format string", context, code=codes.STRING_FORMATTING) def too_many_string_formatting_arguments(self, context: Context) -> None: self.fail( "Not all arguments converted during string formatting", context, code=codes.STRING_FORMATTING, ) def unsupported_placeholder(self, placeholder: str, context: Context) -> None: self.fail( f'Unsupported format character "{placeholder}"', context, code=codes.STRING_FORMATTING ) def string_interpolation_with_star_and_key(self, context: Context) -> None: self.fail( "String interpolation contains both stars and mapping keys", context, code=codes.STRING_FORMATTING, ) def requires_int_or_single_byte(self, context: Context, format_call: bool = False) -> None: self.fail( '"{}c" requires an integer in range(256) or a single byte'.format( ":" if format_call else "%" ), context, code=codes.STRING_FORMATTING, ) def requires_int_or_char(self, context: Context, format_call: bool = False) -> None: self.fail( '"{}c" requires int or char'.format(":" if format_call else "%"), context, code=codes.STRING_FORMATTING, ) def key_not_in_mapping(self, key: str, context: Context) -> None: self.fail(f'Key "{key}" not found in mapping', context, code=codes.STRING_FORMATTING) def string_interpolation_mixing_key_and_non_keys(self, context: Context) -> None: self.fail( "String interpolation mixes specifier with and without mapping keys", context, code=codes.STRING_FORMATTING, ) def cannot_determine_type(self, name: str, context: Context) -> None: self.fail(f'Cannot determine type of "{name}"', context, code=codes.HAS_TYPE) def cannot_determine_type_in_base(self, name: str, base: str, context: Context) -> None: self.fail(f'Cannot determine type of "{name}" in base class "{base}"', context) def no_formal_self(self, name: str, item: CallableType, context: Context) -> None: type = format_type(item, self.options) self.fail( f'Attribute function "{name}" with type {type} does not accept self argument', context ) def incompatible_self_argument( self, name: str, arg: Type, sig: CallableType, is_classmethod: bool, context: Context ) -> None: kind = "class attribute function" if is_classmethod else "attribute function" arg_type = format_type(arg, self.options) sig_type = format_type(sig, self.options) self.fail( f'Invalid self argument {arg_type} to {kind} "{name}" with type {sig_type}', context ) def incompatible_conditional_function_def( self, defn: FuncDef, old_type: FunctionLike, new_type: FunctionLike ) -> None: error = self.fail("All conditional function variants must have identical signatures", defn) if isinstance(old_type, (CallableType, Overloaded)) and isinstance( new_type, (CallableType, Overloaded) ): self.note("Original:", defn) self.pretty_callable_or_overload(old_type, defn, offset=4, parent_error=error) self.note("Redefinition:", defn) self.pretty_callable_or_overload(new_type, defn, offset=4, parent_error=error) def cannot_instantiate_abstract_class( self, class_name: str, abstract_attributes: dict[str, bool], context: Context ) -> None: attrs = format_string_list([f'"{a}"' for a in abstract_attributes]) self.fail( f'Cannot instantiate abstract class "{class_name}" with abstract ' f"attribute{plural_s(abstract_attributes)} {attrs}", context, code=codes.ABSTRACT, ) attrs_with_none = [ f'"{a}"' for a, implicit_and_can_return_none in abstract_attributes.items() if implicit_and_can_return_none ] if not attrs_with_none: return if len(attrs_with_none) == 1: note = ( f"{attrs_with_none[0]} is implicitly abstract because it has an empty function " "body. If it is not meant to be abstract, explicitly `return` or `return None`." ) else: note = ( "The following methods were marked implicitly abstract because they have empty " f"function bodies: {format_string_list(attrs_with_none)}. " "If they are not meant to be abstract, explicitly `return` or `return None`." ) self.note(note, context, code=codes.ABSTRACT) def base_class_definitions_incompatible( self, name: str, base1: TypeInfo, base2: TypeInfo, context: Context ) -> None: self.fail( 'Definition of "{}" in base class "{}" is incompatible ' 'with definition in base class "{}"'.format(name, base1.name, base2.name), context, ) def cant_assign_to_method(self, context: Context) -> None: self.fail(message_registry.CANNOT_ASSIGN_TO_METHOD, context, code=codes.METHOD_ASSIGN) def cant_assign_to_classvar(self, name: str, context: Context) -> None: self.fail(f'Cannot assign to class variable "{name}" via instance', context) def no_overridable_method(self, name: str, context: Context) -> None: self.fail( f'Method "{name}" is marked as an override, ' "but no base method was found with this name", context, ) def explicit_override_decorator_missing( self, name: str, base_name: str, context: Context ) -> None: self.fail( f'Method "{name}" is not using @override ' f'but is overriding a method in class "{base_name}"', context, code=codes.EXPLICIT_OVERRIDE_REQUIRED, ) def final_cant_override_writable(self, name: str, ctx: Context) -> None: self.fail(f'Cannot override writable attribute "{name}" with a final one', ctx) def cant_override_final(self, name: str, base_name: str, ctx: Context) -> None: self.fail( ( f'Cannot override final attribute "{name}" ' f'(previously declared in base class "{base_name}")' ), ctx, ) def cant_assign_to_final(self, name: str, attr_assign: bool, ctx: Context) -> None: """Warn about a prohibited assignment to a final attribute. Pass `attr_assign=True` if the assignment assigns to an attribute. """ kind = "attribute" if attr_assign else "name" self.fail(f'Cannot assign to final {kind} "{unmangle(name)}"', ctx) def protocol_members_cant_be_final(self, ctx: Context) -> None: self.fail("Protocol member cannot be final", ctx) def final_without_value(self, ctx: Context) -> None: self.fail("Final name must be initialized with a value", ctx) def read_only_property(self, name: str, type: TypeInfo, context: Context) -> None: self.fail(f'Property "{name}" defined in "{type.name}" is read-only', context) def incompatible_typevar_value( self, callee: CallableType, typ: Type, typevar_name: str, context: Context ) -> None: self.fail( message_registry.INCOMPATIBLE_TYPEVAR_VALUE.format( typevar_name, callable_name(callee) or "function", format_type(typ, self.options) ), context, code=codes.TYPE_VAR, ) def dangerous_comparison(self, left: Type, right: Type, kind: str, ctx: Context) -> None: left_str = "element" if kind == "container" else "left operand" right_str = "container item" if kind == "container" else "right operand" message = "Non-overlapping {} check ({} type: {}, {} type: {})" left_typ, right_typ = format_type_distinctly(left, right, options=self.options) self.fail( message.format(kind, left_str, left_typ, right_str, right_typ), ctx, code=codes.COMPARISON_OVERLAP, ) def overload_inconsistently_applies_decorator(self, decorator: str, context: Context) -> None: self.fail( f'Overload does not consistently use the "@{decorator}" ' + "decorator on all function signatures.", context, ) def overloaded_signatures_overlap( self, index1: int, index2: int, flip_note: bool, context: Context ) -> None: self.fail( "Overloaded function signatures {} and {} overlap with " "incompatible return types".format(index1, index2), context, code=codes.OVERLOAD_OVERLAP, ) if flip_note: self.note( "Flipping the order of overloads will fix this error", context, code=codes.OVERLOAD_OVERLAP, ) def overloaded_signature_will_never_match( self, index1: int, index2: int, context: Context ) -> None: self.fail( "Overloaded function signature {index2} will never be matched: " "signature {index1}'s parameter type(s) are the same or broader".format( index1=index1, index2=index2 ), context, code=codes.OVERLOAD_CANNOT_MATCH, ) def overloaded_signatures_typevar_specific(self, index: int, context: Context) -> None: self.fail( f"Overloaded function implementation cannot satisfy signature {index} " + "due to inconsistencies in how they use type variables", context, ) def overloaded_signatures_arg_specific(self, index: int, context: Context) -> None: self.fail( ( f"Overloaded function implementation does not accept all possible arguments " f"of signature {index}" ), context, ) def overloaded_signatures_ret_specific(self, index: int, context: Context) -> None: self.fail( f"Overloaded function implementation cannot produce return type of signature {index}", context, ) def warn_both_operands_are_from_unions(self, context: Context) -> None: self.note("Both left and right operands are unions", context, code=codes.OPERATOR) def warn_operand_was_from_union(self, side: str, original: Type, context: Context) -> None: self.note( f"{side} operand is of type {format_type(original, self.options)}", context, code=codes.OPERATOR, ) def operator_method_signatures_overlap( self, reverse_class: TypeInfo, reverse_method: str, forward_class: Type, forward_method: str, context: Context, ) -> None: self.fail( 'Signatures of "{}" of "{}" and "{}" of {} are unsafely overlapping'.format( reverse_method, reverse_class.name, forward_method, format_type(forward_class, self.options), ), context, ) def forward_operator_not_callable(self, forward_method: str, context: Context) -> None: self.fail(f'Forward operator "{forward_method}" is not callable', context) def signatures_incompatible(self, method: str, other_method: str, context: Context) -> None: self.fail(f'Signatures of "{method}" and "{other_method}" are incompatible', context) def yield_from_invalid_operand_type(self, expr: Type, context: Context) -> Type: text = ( format_type(expr, self.options) if format_type(expr, self.options) != "object" else expr ) self.fail(f'"yield from" can\'t be applied to {text}', context) return AnyType(TypeOfAny.from_error) def invalid_signature(self, func_type: Type, context: Context) -> None: self.fail(f"Invalid signature {format_type(func_type, self.options)}", context) def invalid_signature_for_special_method( self, func_type: Type, context: Context, method_name: str ) -> None: self.fail( f'Invalid signature {format_type(func_type, self.options)} for "{method_name}"', context, ) def reveal_type(self, typ: Type, context: Context) -> None: # Search for an error watcher that modifies the "normal" behaviour (we do not # rely on the normal `ErrorWatcher` filtering approach because we might need to # collect the original types for a later unionised response): for watcher in self.errors.get_watchers(): # The `reveal_type` statement should be ignored: if watcher.filter_revealed_type: return # The `reveal_type` statement might be visited iteratively due to being # placed in a loop or so. Hence, we collect the respective types of # individual iterations so that we can report them all in one step later: if isinstance(watcher, IterationErrorWatcher): watcher.iteration_dependent_errors.revealed_types[ (context.line, context.column, context.end_line, context.end_column) ].append(typ) return # Nothing special here; just create the note: visitor = TypeStrVisitor(options=self.options) self.note(f'Revealed type is "{typ.accept(visitor)}"', context) def reveal_locals(self, type_map: dict[str, Type | None], context: Context) -> None: # To ensure that the output is predictable on Python < 3.6, # use an ordered dictionary sorted by variable name sorted_locals = dict(sorted(type_map.items(), key=lambda t: t[0])) if sorted_locals: self.note("Revealed local types are:", context) for k, v in sorted_locals.items(): visitor = TypeStrVisitor(options=self.options) self.note(f" {k}: {v.accept(visitor) if v is not None else None}", context) else: self.note("There are no locals to reveal", context) def unsupported_type_type(self, item: Type, context: Context) -> None: self.fail( f'Cannot instantiate type "type[{format_type_bare(item, self.options)}]"', context ) def redundant_cast(self, typ: Type, context: Context) -> None: self.fail( f"Redundant cast to {format_type(typ, self.options)}", context, code=codes.REDUNDANT_CAST, ) def assert_type_fail(self, source_type: Type, target_type: Type, context: Context) -> None: (source, target) = format_type_distinctly(source_type, target_type, options=self.options) self.fail(f"Expression is of type {source}, not {target}", context, code=codes.ASSERT_TYPE) def unimported_type_becomes_any(self, prefix: str, typ: Type, ctx: Context) -> None: self.fail( f"{prefix} becomes {format_type(typ, self.options)} due to an unfollowed import", ctx, code=codes.NO_ANY_UNIMPORTED, ) def need_annotation_for_var( self, node: SymbolNode, context: Context, options: Options | None = None ) -> None: hint = "" # type to recommend the user adds recommended_type = None # Only gives hint if it's a variable declaration and the partial type is a builtin type if options and isinstance(node, Var) and isinstance(node.type, PartialType): type_dec = "" if not node.type.type: # partial None if options.use_or_syntax(): recommended_type = f"{type_dec} | None" else: recommended_type = f"Optional[{type_dec}]" elif node.type.type.fullname in reverse_builtin_aliases: # partial types other than partial None name = node.type.type.fullname.partition(".")[2] if name == "dict": type_dec = f"{type_dec}, {type_dec}" recommended_type = f"{name}[{type_dec}]" if recommended_type is not None: hint = f' (hint: "{node.name}: {recommended_type} = ...")' self.fail( f'Need type annotation for "{unmangle(node.name)}"{hint}', context, code=codes.VAR_ANNOTATED, ) def explicit_any(self, ctx: Context) -> None: self.fail('Explicit "Any" is not allowed', ctx, code=codes.EXPLICIT_ANY) def unsupported_target_for_star_typeddict(self, typ: Type, ctx: Context) -> None: self.fail( "Unsupported type {} for ** expansion in TypedDict".format( format_type(typ, self.options) ), ctx, code=codes.TYPEDDICT_ITEM, ) def non_required_keys_absent_with_star(self, keys: list[str], ctx: Context) -> None: self.fail( "Non-required {} not explicitly found in any ** item".format( format_key_list(keys, short=True) ), ctx, code=codes.TYPEDDICT_ITEM, ) def unexpected_typeddict_keys( self, typ: TypedDictType, expected_keys: list[str], actual_keys: list[str], context: Context, ) -> None: actual_set = set(actual_keys) expected_set = set(expected_keys) if not typ.is_anonymous(): # Generate simpler messages for some common special cases. # Use list comprehension instead of set operations to preserve order. missing = [key for key in expected_keys if key not in actual_set] if missing: self.fail( "Missing {} for TypedDict {}".format( format_key_list(missing, short=True), format_type(typ, self.options) ), context, code=codes.TYPEDDICT_ITEM, ) extra = [key for key in actual_keys if key not in expected_set] if extra: self.fail( "Extra {} for TypedDict {}".format( format_key_list(extra, short=True), format_type(typ, self.options) ), context, code=codes.TYPEDDICT_UNKNOWN_KEY, ) if missing or extra: # No need to check for further errors return found = format_key_list(actual_keys, short=True) if not expected_keys: self.fail(f"Unexpected TypedDict {found}", context) return expected = format_key_list(expected_keys) if actual_keys and actual_set < expected_set: found = f"only {found}" self.fail(f"Expected {expected} but found {found}", context, code=codes.TYPEDDICT_ITEM) def typeddict_key_must_be_string_literal(self, typ: TypedDictType, context: Context) -> None: self.fail( "TypedDict key must be a string literal; expected one of {}".format( format_item_name_list(typ.items.keys()) ), context, code=codes.LITERAL_REQ, ) def typeddict_key_not_found( self, typ: TypedDictType, item_name: str, context: Context, setitem: bool = False ) -> None: """Handle error messages for TypedDicts that have unknown keys. Note, that we differentiate in between reading a value and setting a value. Setting a value on a TypedDict is an 'unknown-key' error, whereas reading it is the more serious/general 'item' error. """ if typ.is_anonymous(): self.fail( '"{}" is not a valid TypedDict key; expected one of {}'.format( item_name, format_item_name_list(typ.items.keys()) ), context, ) else: err_code = codes.TYPEDDICT_UNKNOWN_KEY if setitem else codes.TYPEDDICT_ITEM self.fail( f'TypedDict {format_type(typ, self.options)} has no key "{item_name}"', context, code=err_code, ) matches = best_matches(item_name, typ.items.keys(), n=3) if matches: self.note( "Did you mean {}?".format(pretty_seq(matches, "or")), context, code=err_code ) def typeddict_context_ambiguous(self, types: list[TypedDictType], context: Context) -> None: formatted_types = ", ".join(list(format_type_distinctly(*types, options=self.options))) self.fail( f"Type of TypedDict is ambiguous, none of ({formatted_types}) matches cleanly", context ) def typeddict_key_cannot_be_deleted( self, typ: TypedDictType, item_name: str, context: Context ) -> None: if typ.is_anonymous(): self.fail(f'TypedDict key "{item_name}" cannot be deleted', context) else: self.fail( f'Key "{item_name}" of TypedDict {format_type(typ, self.options)} cannot be deleted', context, ) def typeddict_setdefault_arguments_inconsistent( self, default: Type, expected: Type, context: Context ) -> None: msg = 'Argument 2 to "setdefault" of "TypedDict" has incompatible type {}; expected {}' self.fail( msg.format(format_type(default, self.options), format_type(expected, self.options)), context, code=codes.TYPEDDICT_ITEM, ) def type_arguments_not_allowed(self, context: Context) -> None: self.fail("Parameterized generics cannot be used with class or instance checks", context) def disallowed_any_type(self, typ: Type, context: Context) -> None: typ = get_proper_type(typ) if isinstance(typ, AnyType): message = 'Expression has type "Any"' else: message = f'Expression type contains "Any" (has type {format_type(typ, self.options)})' self.fail(message, context) def incorrectly_returning_any(self, typ: Type, context: Context) -> None: message = ( f"Returning Any from function declared to return {format_type(typ, self.options)}" ) self.fail(message, context, code=codes.NO_ANY_RETURN) def incorrect__exit__return(self, context: Context) -> None: self.fail( '"bool" is invalid as return type for "__exit__" that always returns False', context, code=codes.EXIT_RETURN, ) self.note( 'Use "typing.Literal[False]" as the return type or change it to "None"', context, code=codes.EXIT_RETURN, ) self.note( 'If return type of "__exit__" implies that it may return True, ' "the context manager may swallow exceptions", context, code=codes.EXIT_RETURN, ) def untyped_decorated_function(self, typ: Type, context: Context) -> None: typ = get_proper_type(typ) if isinstance(typ, AnyType): self.fail("Function is untyped after decorator transformation", context) else: self.fail( f'Type of decorated function contains type "Any" ({format_type(typ, self.options)})', context, ) def typed_function_untyped_decorator(self, func_name: str, context: Context) -> None: self.fail( f'Untyped decorator makes function "{func_name}" untyped', context, code=codes.UNTYPED_DECORATOR, ) def bad_proto_variance( self, actual: int, tvar_name: str, expected: int, context: Context ) -> None: msg = capitalize( '{} type variable "{}" used in protocol where {} one is expected'.format( variance_string(actual), tvar_name, variance_string(expected) ) ) self.fail(msg, context) def concrete_only_assign(self, typ: Type, context: Context) -> None: self.fail( f"Can only assign concrete classes to a variable of type {format_type(typ, self.options)}", context, code=codes.TYPE_ABSTRACT, ) def concrete_only_call(self, typ: Type, context: Context) -> None: self.fail( f"Only concrete class can be given where {format_type(typ, self.options)} is expected", context, code=codes.TYPE_ABSTRACT, ) def cannot_use_function_with_type( self, method_name: str, type_name: str, context: Context ) -> None: self.fail(f"Cannot use {method_name}() with {type_name} type", context) def report_non_method_protocol( self, tp: TypeInfo, members: list[str], context: Context ) -> None: self.fail( "Only protocols that don't have non-method members can be used with issubclass()", context, ) if len(members) < 3: attrs = ", ".join(members) self.note(f'Protocol "{tp.name}" has non-method member(s): {attrs}', context) def note_call( self, subtype: Type, call: Type, context: Context, *, code: ErrorCode | None ) -> None: self.note( '"{}.__call__" has type {}'.format( format_type_bare(subtype, self.options), format_type(call, self.options, verbosity=1), ), context, code=code, ) def unreachable_statement(self, context: Context) -> None: self.fail("Statement is unreachable", context, code=codes.UNREACHABLE) def redundant_left_operand(self, op_name: str, context: Context) -> None: """Indicates that the left operand of a boolean expression is redundant: it does not change the truth value of the entire condition as a whole. 'op_name' should either be the string "and" or the string "or". """ self.redundant_expr(f'Left operand of "{op_name}"', op_name == "and", context) def unreachable_right_operand(self, op_name: str, context: Context) -> None: """Indicates that the right operand of a boolean expression is redundant: it does not change the truth value of the entire condition as a whole. 'op_name' should either be the string "and" or the string "or". """ self.fail( f'Right operand of "{op_name}" is never evaluated', context, code=codes.UNREACHABLE ) def redundant_condition_in_comprehension(self, truthiness: bool, context: Context) -> None: self.redundant_expr("If condition in comprehension", truthiness, context) def redundant_condition_in_if(self, truthiness: bool, context: Context) -> None: self.redundant_expr("If condition", truthiness, context) def redundant_expr(self, description: str, truthiness: bool, context: Context) -> None: self.fail( f"{description} is always {str(truthiness).lower()}", context, code=codes.REDUNDANT_EXPR, ) def impossible_intersection( self, formatted_base_class_list: str, reason: str, context: Context ) -> None: template = "Subclass of {} cannot exist: {}" self.fail( template.format(formatted_base_class_list, reason), context, code=codes.UNREACHABLE ) def tvar_without_default_type( self, tvar_name: str, last_tvar_name_with_default: str, context: Context ) -> None: self.fail( f'"{tvar_name}" cannot appear after "{last_tvar_name_with_default}" ' "in type parameter list because it has no default type", context, ) def report_protocol_problems( self, subtype: Instance | TupleType | TypedDictType | TypeType | CallableType, supertype: Instance, context: Context, *, parent_error: ErrorInfo, ) -> None: """Report possible protocol conflicts between 'subtype' and 'supertype'. This includes missing members, incompatible types, and incompatible attribute flags, such as settable vs read-only or class variable vs instance variable. """ OFFSET = 4 # Four spaces, so that notes will look like this: # note: 'Cls' is missing following 'Proto' members: # note: method, attr MAX_ITEMS = 2 # Maximum number of conflicts, missing members, and overloads shown # List of special situations where we don't want to report additional problems exclusions: dict[type, list[str]] = { TypedDictType: ["typing.Mapping"], TupleType: ["typing.Iterable", "typing.Sequence"], } if supertype.type.fullname in exclusions.get(type(subtype), []): return if any(isinstance(tp, UninhabitedType) for tp in get_proper_types(supertype.args)): # We don't want to add notes for failed inference (e.g. Iterable[Never]). # This will be only confusing a user even more. return class_obj = False is_module = False skip = [] if isinstance(subtype, TupleType): subtype = subtype.partial_fallback elif isinstance(subtype, TypedDictType): subtype = subtype.fallback elif isinstance(subtype, TypeType): if not isinstance(subtype.item, Instance): return class_obj = True subtype = subtype.item elif isinstance(subtype, CallableType): if subtype.is_type_obj(): ret_type = get_proper_type(subtype.ret_type) if isinstance(ret_type, TupleType): ret_type = ret_type.partial_fallback if not isinstance(ret_type, Instance): return class_obj = True subtype = ret_type else: subtype = subtype.fallback skip = ["__call__"] if subtype.extra_attrs and subtype.extra_attrs.mod_name: is_module = True # Report missing members missing = get_missing_protocol_members(subtype, supertype, skip=skip) if ( missing and (len(missing) < len(supertype.type.protocol_members) or missing == ["__call__"]) and len(missing) <= MAX_ITEMS ): if missing == ["__call__"] and class_obj: self.note( '"{}" has constructor incompatible with "__call__" of "{}"'.format( subtype.type.name, supertype.type.name ), context, parent_error=parent_error, ) else: self.note( '"{}" is missing following "{}" protocol member{}:'.format( subtype.type.name, supertype.type.name, plural_s(missing) ), context, parent_error=parent_error, ) self.note(", ".join(missing), context, offset=OFFSET, parent_error=parent_error) elif len(missing) > MAX_ITEMS or len(missing) == len(supertype.type.protocol_members): # This is an obviously wrong type: too many missing members return # Report member type conflicts conflict_types = get_conflict_protocol_types( subtype, supertype, class_obj=class_obj, options=self.options ) if conflict_types and ( not is_subtype(subtype, erase_type(supertype), options=self.options) or not subtype.type.defn.type_vars or not supertype.type.defn.type_vars # Always show detailed message for ParamSpec or subtype.type.has_param_spec_type or supertype.type.has_param_spec_type ): type_name = format_type(subtype, self.options, module_names=True) self.note( f"Following member(s) of {type_name} have conflicts:", context, parent_error=parent_error, ) for name, got, exp, is_lvalue in conflict_types[:MAX_ITEMS]: exp = get_proper_type(exp) got = get_proper_type(got) setter_suffix = " setter type" if is_lvalue else "" if ( not isinstance(exp, (CallableType, Overloaded)) or not isinstance(got, (CallableType, Overloaded)) # If expected type is a type object, it means it is a nested class. # Showing constructor signature in errors would be confusing in this case, # since we don't check the signature, only subclassing of type objects. or exp.is_type_obj() ): self.note( "{}: expected{} {}, got {}".format( name, setter_suffix, *format_type_distinctly(exp, got, options=self.options), ), context, offset=OFFSET, parent_error=parent_error, ) if is_lvalue and is_subtype(got, exp, options=self.options): self.note( "Setter types should behave contravariantly", context, offset=OFFSET, parent_error=parent_error, ) else: self.note( "Expected{}:".format(setter_suffix), context, offset=OFFSET, parent_error=parent_error, ) if isinstance(exp, CallableType): self.note( pretty_callable(exp, self.options, skip_self=class_obj or is_module), context, offset=2 * OFFSET, parent_error=parent_error, ) else: assert isinstance(exp, Overloaded) self.pretty_overload( exp, context, 2 * OFFSET, parent_error=parent_error, skip_self=class_obj or is_module, ) self.note("Got:", context, offset=OFFSET, parent_error=parent_error) if isinstance(got, CallableType): self.note( pretty_callable(got, self.options, skip_self=class_obj or is_module), context, offset=2 * OFFSET, parent_error=parent_error, ) else: assert isinstance(got, Overloaded) self.pretty_overload( got, context, 2 * OFFSET, parent_error=parent_error, skip_self=class_obj or is_module, ) self.print_more(conflict_types, context, OFFSET, MAX_ITEMS, code=parent_error.code) # Report flag conflicts (i.e. settable vs read-only etc.) conflict_flags = get_bad_protocol_flags(subtype, supertype, class_obj=class_obj) for name, subflags, superflags in conflict_flags[:MAX_ITEMS]: if not class_obj and IS_CLASSVAR in subflags and IS_CLASSVAR not in superflags: self.note( "Protocol member {}.{} expected instance variable, got class variable".format( supertype.type.name, name ), context, parent_error=parent_error, ) if not class_obj and IS_CLASSVAR in superflags and IS_CLASSVAR not in subflags: self.note( "Protocol member {}.{} expected class variable, got instance variable".format( supertype.type.name, name ), context, parent_error=parent_error, ) if IS_SETTABLE in superflags and IS_SETTABLE not in subflags: self.note( "Protocol member {}.{} expected settable variable," " got read-only attribute".format(supertype.type.name, name), context, parent_error=parent_error, ) if IS_CLASS_OR_STATIC in superflags and IS_CLASS_OR_STATIC not in subflags: self.note( "Protocol member {}.{} expected class or static method".format( supertype.type.name, name ), context, parent_error=parent_error, ) if ( class_obj and IS_VAR in superflags and (IS_VAR in subflags and IS_CLASSVAR not in subflags) ): self.note( "Only class variables allowed for class object access on protocols," ' {} is an instance variable of "{}"'.format(name, subtype.type.name), context, parent_error=parent_error, ) if class_obj and IS_CLASSVAR in superflags: self.note( "ClassVar protocol member {}.{} can never be matched by a class object".format( supertype.type.name, name ), context, parent_error=parent_error, ) self.print_more(conflict_flags, context, OFFSET, MAX_ITEMS, code=parent_error.code) def pretty_overload( self, tp: Overloaded, context: Context, offset: int, *, parent_error: ErrorInfo, add_class_or_static_decorator: bool = False, skip_self: bool = False, ) -> None: for item in tp.items: self.note("@overload", context, offset=offset, parent_error=parent_error) if add_class_or_static_decorator: decorator = pretty_class_or_static_decorator(item) if decorator is not None: self.note(decorator, context, offset=offset, parent_error=parent_error) self.note( pretty_callable(item, self.options, skip_self=skip_self), context, offset=offset, parent_error=parent_error, ) def print_more( self, conflicts: Sequence[Any], context: Context, offset: int, max_items: int, *, code: ErrorCode | None = None, ) -> None: if len(conflicts) > max_items: self.note( f"<{len(conflicts) - max_items} more conflict(s) not shown>", context, offset=offset, code=code, ) def try_report_long_tuple_assignment_error( self, subtype: ProperType, supertype: ProperType, context: Context, msg: message_registry.ErrorMessage, subtype_label: str | None = None, supertype_label: str | None = None, ) -> bool: """Try to generate meaningful error message for very long tuple assignment Returns a bool: True when generating long tuple assignment error, False when no such error reported """ if isinstance(subtype, TupleType): if ( len(subtype.items) > MAX_TUPLE_ITEMS and isinstance(supertype, Instance) and supertype.type.fullname == "builtins.tuple" ): lhs_type = supertype.args[0] lhs_types = [lhs_type] * len(subtype.items) self.generate_incompatible_tuple_error(lhs_types, subtype.items, context, msg) return True elif isinstance(supertype, TupleType) and ( len(subtype.items) > MAX_TUPLE_ITEMS or len(supertype.items) > MAX_TUPLE_ITEMS ): if len(subtype.items) != len(supertype.items): if supertype_label is not None and subtype_label is not None: msg = msg.with_additional_msg( " ({} {}, {} {})".format( subtype_label, self.format_long_tuple_type(subtype), supertype_label, self.format_long_tuple_type(supertype), ) ) self.fail(msg.value, context, code=msg.code) return True self.generate_incompatible_tuple_error( supertype.items, subtype.items, context, msg ) return True return False def format_long_tuple_type(self, typ: TupleType) -> str: """Format very long tuple type using an ellipsis notation""" item_cnt = len(typ.items) if item_cnt > MAX_TUPLE_ITEMS: return '"tuple[{}, {}, ... <{} more items>]"'.format( format_type_bare(typ.items[0], self.options), format_type_bare(typ.items[1], self.options), str(item_cnt - 2), ) else: return format_type(typ, self.options) def generate_incompatible_tuple_error( self, lhs_types: list[Type], rhs_types: list[Type], context: Context, msg: message_registry.ErrorMessage, ) -> None: """Generate error message for individual incompatible tuple pairs""" error_cnt = 0 notes: list[str] = [] for i, (lhs_t, rhs_t) in enumerate(zip(lhs_types, rhs_types)): if not is_subtype(rhs_t, lhs_t): if error_cnt < 3: notes.append( "Expression tuple item {} has type {}; {} expected; ".format( str(i), format_type(rhs_t, self.options), format_type(lhs_t, self.options), ) ) error_cnt += 1 info = f" ({str(error_cnt)} tuple items are incompatible" if error_cnt - 3 > 0: info += f"; {str(error_cnt - 3)} items are omitted)" else: info += ")" msg = msg.with_additional_msg(info) self.fail(msg.value, context, code=msg.code) for note in notes: self.note(note, context, code=msg.code) def add_fixture_note(self, fullname: str, ctx: Context) -> None: self.note(f'Maybe your test fixture does not define "{fullname}"?', ctx) if fullname in SUGGESTED_TEST_FIXTURES: self.note( "Consider adding [builtins fixtures/{}] to your test description".format( SUGGESTED_TEST_FIXTURES[fullname] ), ctx, ) def annotation_in_unchecked_function(self, context: Context) -> None: self.note( "By default the bodies of untyped functions are not checked," " consider using --check-untyped-defs", context, code=codes.ANNOTATION_UNCHECKED, ) def type_parameters_should_be_declared(self, undeclared: list[str], context: Context) -> None: names = ", ".join('"' + n + '"' for n in undeclared) self.fail( message_registry.TYPE_PARAMETERS_SHOULD_BE_DECLARED.format(names), context, code=codes.VALID_TYPE, ) def match_statement_inexhaustive_match(self, typ: Type, context: Context) -> None: type_str = format_type(typ, self.options) msg = f"Match statement has unhandled case for values of type {type_str}" self.fail(msg, context, code=codes.EXHAUSTIVE_MATCH) self.note( "If match statement is intended to be non-exhaustive, add `case _: pass`", context, code=codes.EXHAUSTIVE_MATCH, ) def iteration_dependent_errors(self, iter_errors: IterationDependentErrors) -> None: for error_info in iter_errors.yield_uselessness_error_infos(): self.fail(*error_info[:2], code=error_info[2]) for types, context in iter_errors.yield_revealed_type_infos(): self.reveal_type(mypy.typeops.make_simplified_union(types), context) def quote_type_string(type_string: str) -> str: """Quotes a type representation for use in messages.""" if ( type_string in ["Module", "overloaded function", ""] or type_string.startswith("Module ") or type_string.endswith("?") ): # These messages are easier to read if these aren't quoted. return type_string return f'"{type_string}"' def should_format_arg_as_type(arg_kind: ArgKind, arg_name: str | None, verbosity: int) -> bool: """ Determine whether a function argument should be formatted as its Type or with name. """ return (arg_kind == ARG_POS and arg_name is None) or ( verbosity == 0 and arg_kind.is_positional() ) def format_callable_args( arg_types: list[Type], arg_kinds: list[ArgKind], arg_names: list[str | None], format: Callable[[Type], str], verbosity: int, ) -> str: """Format a bunch of Callable arguments into a string""" arg_strings = [] for arg_name, arg_type, arg_kind in zip(arg_names, arg_types, arg_kinds): if should_format_arg_as_type(arg_kind, arg_name, verbosity): arg_strings.append(format(arg_type)) else: constructor = ARG_CONSTRUCTOR_NAMES[arg_kind] if arg_kind.is_star() or arg_name is None: arg_strings.append(f"{constructor}({format(arg_type)})") else: arg_strings.append(f"{constructor}({format(arg_type)}, {repr(arg_name)})") return ", ".join(arg_strings) def format_type_inner( typ: Type, verbosity: int, options: Options, fullnames: set[str] | None, module_names: bool = False, use_pretty_callable: bool = True, ) -> str: """ Convert a type to a relatively short string suitable for error messages. Args: typ: type to be formatted verbosity: a coarse grained control on the verbosity of the type options: Options object controlling formatting fullnames: a set of names that should be printed in full module_names: whether to show module names for module types use_pretty_callable: use pretty_callable to format Callable types. """ def format(typ: Type) -> str: return format_type_inner(typ, verbosity, options, fullnames) def format_list(types: Sequence[Type]) -> str: return ", ".join(format(typ) for typ in types) def format_union_items(types: Sequence[Type]) -> list[str]: formatted = [format(typ) for typ in types if format(typ) != "None"] if len(formatted) > MAX_UNION_ITEMS and verbosity == 0: more = len(formatted) - MAX_UNION_ITEMS // 2 formatted = formatted[: MAX_UNION_ITEMS // 2] else: more = 0 if more: formatted.append(f"<{more} more items>") if any(format(typ) == "None" for typ in types): formatted.append("None") return formatted def format_union(types: Sequence[Type]) -> str: return " | ".join(format_union_items(types)) def format_literal_value(typ: LiteralType) -> str: if typ.is_enum_literal(): underlying_type = format(typ.fallback) return f"{underlying_type}.{typ.value}" else: return typ.value_repr() if isinstance(typ, TypeAliasType) and typ.is_recursive: if typ.alias is None: type_str = "" else: if verbosity >= 2 or (fullnames and typ.alias.fullname in fullnames): type_str = typ.alias.fullname else: type_str = typ.alias.name if typ.args: type_str += f"[{format_list(typ.args)}]" return type_str # TODO: always mention type alias names in errors. typ = get_proper_type(typ) if isinstance(typ, Instance): itype = typ # Get the short name of the type. if itype.type.fullname == "types.ModuleType": # Make some common error messages simpler and tidier. base_str = "Module" if itype.extra_attrs and itype.extra_attrs.mod_name and module_names: return f'{base_str} "{itype.extra_attrs.mod_name}"' return base_str if itype.type.fullname == "typing._SpecialForm": # This is not a real type but used for some typing-related constructs. return "" if verbosity >= 2 or (fullnames and itype.type.fullname in fullnames): base_str = itype.type.fullname else: base_str = itype.type.name if not itype.args: if itype.type.has_type_var_tuple_type and len(itype.type.type_vars) == 1: return base_str + "[()]" # No type arguments, just return the type name return base_str elif itype.type.fullname == "builtins.tuple": item_type_str = format(itype.args[0]) return f"tuple[{item_type_str}, ...]" else: # There are type arguments. Convert the arguments to strings. return f"{base_str}[{format_list(itype.args)}]" elif isinstance(typ, UnpackType): if options.use_star_unpack(): return f"*{format(typ.type)}" return f"Unpack[{format(typ.type)}]" elif isinstance(typ, TypeVarType): # This is similar to non-generic instance types. fullname = scoped_type_var_name(typ) if verbosity >= 2 or (fullnames and fullname in fullnames): return fullname return typ.name elif isinstance(typ, TypeVarTupleType): # This is similar to non-generic instance types. fullname = scoped_type_var_name(typ) if verbosity >= 2 or (fullnames and fullname in fullnames): return fullname return typ.name elif isinstance(typ, ParamSpecType): # Concatenate[..., P] if typ.prefix.arg_types: args = format_callable_args( typ.prefix.arg_types, typ.prefix.arg_kinds, typ.prefix.arg_names, format, verbosity ) return f"[{args}, **{typ.name_with_suffix()}]" else: # TODO: better disambiguate ParamSpec name clashes. return typ.name_with_suffix() elif isinstance(typ, TupleType): # Prefer the name of the fallback class (if not tuple), as it's more informative. if typ.partial_fallback.type.fullname != "builtins.tuple": return format(typ.partial_fallback) type_items = format_list(typ.items) or "()" return f"tuple[{type_items}]" elif isinstance(typ, TypedDictType): # If the TypedDictType is named, return the name if not typ.is_anonymous(): return format(typ.fallback) items = [] for item_name, item_type in typ.items.items(): modifier = "" if item_name not in typ.required_keys: modifier += "?" if item_name in typ.readonly_keys: modifier += "=" items.append(f"{item_name!r}{modifier}: {format(item_type)}") return f"TypedDict({{{', '.join(items)}}})" elif isinstance(typ, LiteralType): return f"Literal[{format_literal_value(typ)}]" elif isinstance(typ, UnionType): typ = get_proper_type(ignore_last_known_values(typ)) if not isinstance(typ, UnionType): return format(typ) literal_items, union_items = separate_union_literals(typ) # Coalesce multiple Literal[] members. This also changes output order. # If there's just one Literal item, retain the original ordering. if len(literal_items) > 1: literal_str = "Literal[{}]".format( ", ".join(format_literal_value(t) for t in literal_items) ) if len(union_items) == 1 and isinstance(get_proper_type(union_items[0]), NoneType): return ( f"{literal_str} | None" if options.use_or_syntax() else f"Optional[{literal_str}]" ) elif union_items: return ( f"{literal_str} | {format_union(union_items)}" if options.use_or_syntax() else f"Union[{', '.join(format_union_items(union_items))}, {literal_str}]" ) else: return literal_str else: # Only print Union as Optional if the Optional wouldn't have to contain another Union print_as_optional = ( len(typ.items) - sum(isinstance(get_proper_type(t), NoneType) for t in typ.items) == 1 ) if print_as_optional: rest = [t for t in typ.items if not isinstance(get_proper_type(t), NoneType)] return ( f"{format(rest[0])} | None" if options.use_or_syntax() else f"Optional[{format(rest[0])}]" ) else: s = ( format_union(typ.items) if options.use_or_syntax() else f"Union[{', '.join(format_union_items(typ.items))}]" ) return s elif isinstance(typ, NoneType): return "None" elif isinstance(typ, AnyType): return "Any" elif isinstance(typ, DeletedType): return "" elif isinstance(typ, UninhabitedType): return "Never" elif isinstance(typ, TypeType): if typ.is_type_form: type_name = "TypeForm" else: type_name = "type" return f"{type_name}[{format(typ.item)}]" elif isinstance(typ, FunctionLike): func = typ if func.is_type_obj(): # The type of a type object type can be derived from the # return type (this always works). return format(TypeType.make_normalized(func.items[0].ret_type)) elif isinstance(func, CallableType): if func.type_guard is not None: return_type = f"TypeGuard[{format(func.type_guard)}]" elif func.type_is is not None: return_type = f"TypeIs[{format(func.type_is)}]" else: return_type = format(func.ret_type) if func.is_ellipsis_args: return f"Callable[..., {return_type}]" param_spec = func.param_spec() if param_spec is not None: return f"Callable[{format(param_spec)}, {return_type}]" # Use pretty format (def-style) for complex signatures with named, optional, or star args. # Use compact Callable[[...], ...] only for signatures with all simple positional args. if use_pretty_callable: if any( not should_format_arg_as_type(kind, name, verbosity) for kind, name in zip(func.arg_kinds, func.arg_names) ): return pretty_callable(func, options) args = format_callable_args( func.arg_types, func.arg_kinds, func.arg_names, format, verbosity ) return f"Callable[[{args}], {return_type}]" else: # Use a simple representation for function types; proper # function types may result in long and difficult-to-read # error messages. return "overloaded function" elif isinstance(typ, UnboundType): return typ.accept(TypeStrVisitor(options=options)) elif isinstance(typ, Parameters): args = format_callable_args(typ.arg_types, typ.arg_kinds, typ.arg_names, format, verbosity) return f"[{args}]" elif typ is None: raise RuntimeError("Type is None") else: # Default case; we simply have to return something meaningful here. return "object" def collect_all_named_types(t: Type) -> list[Type]: """Return all instances/aliases/type variables that `t` contains (including `t`). This is similar to collect_all_inner_types from typeanal but only returns instances and will recurse into fallbacks. """ visitor = CollectAllNamedTypesQuery() t.accept(visitor) return visitor.types class CollectAllNamedTypesQuery(TypeTraverserVisitor): def __init__(self) -> None: self.types: list[Type] = [] def visit_instance(self, t: Instance) -> None: self.types.append(t) super().visit_instance(t) def visit_type_alias_type(self, t: TypeAliasType) -> None: if t.alias and not t.is_recursive: get_proper_type(t).accept(self) else: self.types.append(t) super().visit_type_alias_type(t) def visit_type_var(self, t: TypeVarType) -> None: self.types.append(t) super().visit_type_var(t) def visit_type_var_tuple(self, t: TypeVarTupleType) -> None: self.types.append(t) super().visit_type_var_tuple(t) def visit_param_spec(self, t: ParamSpecType) -> None: self.types.append(t) super().visit_param_spec(t) def scoped_type_var_name(t: TypeVarLikeType) -> str: if not t.id.namespace: return t.name # TODO: support rare cases when both TypeVar name and namespace suffix coincide. *_, suffix = t.id.namespace.split(".") return f"{t.name}@{suffix}" def find_type_overlaps(*types: Type) -> set[str]: """Return a set of fullnames that share a short name and appear in either type. This is used to ensure that distinct types with the same short name are printed with their fullname. """ d: dict[str, set[str]] = {} for type in types: for t in collect_all_named_types(type): if isinstance(t, ProperType) and isinstance(t, Instance): d.setdefault(t.type.name, set()).add(t.type.fullname) elif isinstance(t, TypeAliasType) and t.alias: d.setdefault(t.alias.name, set()).add(t.alias.fullname) else: assert isinstance(t, TypeVarLikeType) d.setdefault(t.name, set()).add(scoped_type_var_name(t)) for shortname in d.keys(): if f"typing.{shortname}" in TYPES_FOR_UNIMPORTED_HINTS: d[shortname].add(f"typing.{shortname}") overlaps: set[str] = set() for fullnames in d.values(): if len(fullnames) > 1: overlaps.update(fullnames) return overlaps def format_type( typ: Type, options: Options, verbosity: int = 0, module_names: bool = False ) -> str: """ Convert a type to a relatively short string suitable for error messages. `verbosity` is a coarse-grained control on the verbosity of the type This function returns a string appropriate for unmodified use in error messages; this means that it will be quoted in most cases. If modification of the formatted string is required, callers should use format_type_bare. """ return quote_type_string(format_type_bare(typ, options, verbosity, module_names)) def format_type_bare( typ: Type, options: Options, verbosity: int = 0, module_names: bool = False ) -> str: """ Convert a type to a relatively short string suitable for error messages. `verbosity` is a coarse-grained control on the verbosity of the type `fullnames` specifies a set of names that should be printed in full This function will return an unquoted string. If a caller doesn't need to perform post-processing on the string output, format_type should be used instead. (The caller may want to use quote_type_string after processing has happened, to maintain consistent quoting in messages.) """ return format_type_inner(typ, verbosity, options, find_type_overlaps(typ), module_names) def format_type_distinctly(*types: Type, options: Options, bare: bool = False) -> tuple[str, ...]: """Jointly format types to distinct strings. Increase the verbosity of the type strings until they become distinct while also requiring that distinct types with the same short name are formatted distinctly. By default, the returned strings are created using format_type() and will be quoted accordingly. If ``bare`` is True, the returned strings will not be quoted; callers who need to do post-processing of the strings before quoting them (such as prepending * or **) should use this. """ overlapping = find_type_overlaps(*types) def format_single(arg: Type) -> str: return format_type_inner(arg, verbosity=0, options=options, fullnames=overlapping) min_verbosity = 0 # Prevent emitting weird errors like: # ... has incompatible type "Callable[[int], Child]"; expected "Callable[[int], Parent]" if len(types) == 2: left, right = types left = get_proper_type(left) right = get_proper_type(right) # If the right type has named arguments, they may be the reason for incompatibility. # This excludes cases when right is Callable[[Something], None] without named args, # because that's usually the right thing to do. if ( isinstance(left, CallableType) and isinstance(right, CallableType) and any(right.arg_names) and is_subtype(left, right, ignore_pos_arg_names=True) ): min_verbosity = 1 for verbosity in range(min_verbosity, 2): strs = [ format_type_inner(type, verbosity=verbosity, options=options, fullnames=overlapping) for type in types ] if len(set(strs)) == len(strs): break if bare: return tuple(strs) else: return tuple(quote_type_string(s) for s in strs) def pretty_class_or_static_decorator(tp: CallableType) -> str | None: """Return @classmethod or @staticmethod, if any, for the given callable type.""" definition = get_func_def(tp) if definition is not None and isinstance(definition, SYMBOL_FUNCBASE_TYPES): if definition.is_class: return "@classmethod" if definition.is_static: return "@staticmethod" return None def pretty_callable(tp: CallableType, options: Options, skip_self: bool = False) -> str: """Return a nice easily-readable representation of a callable type. For example: def [T <: int] f(self, x: int, y: T) -> None If skip_self is True, print an actual callable type, as it would appear when bound on an instance/class, rather than how it would appear in the defining statement. """ s = "" asterisk = False slash = False for i in range(len(tp.arg_types)): if s: s += ", " if tp.arg_kinds[i].is_named() and not asterisk: s += "*, " asterisk = True if tp.arg_kinds[i] == ARG_STAR: s += "*" asterisk = True if tp.arg_kinds[i] == ARG_STAR2: s += "**" name = tp.arg_names[i] if name: s += name + ": " type_str = format_type_bare(tp.arg_types[i], options) if tp.arg_kinds[i] == ARG_STAR2 and tp.unpack_kwargs: type_str = f"Unpack[{type_str}]" s += type_str if tp.arg_kinds[i].is_optional(): s += " = ..." if ( not slash and tp.arg_kinds[i].is_positional() and name is None and ( i == len(tp.arg_types) - 1 or (tp.arg_names[i + 1] is not None or not tp.arg_kinds[i + 1].is_positional()) ) ): s += ", /" slash = True # If we got a "special arg" (i.e: self, cls, etc...), prepend it to the arg list definition = get_func_def(tp) if ( isinstance(definition, FuncDef) and hasattr(definition, "arguments") and not tp.from_concatenate ): definition_arg_names = [arg.variable.name for arg in definition.arguments] if ( len(definition_arg_names) > len(tp.arg_names) and definition_arg_names[0] and not skip_self ): if s: s = ", " + s s = definition_arg_names[0] + s s = f"{definition.name}({s})" elif tp.name: first_arg = get_first_arg(tp) if first_arg: if s: s = ", " + s s = first_arg + s s = f"{tp.name.split()[0]}({s})" # skip "of Class" part else: s = f"({s})" s += " -> " if tp.type_guard is not None: s += f"TypeGuard[{format_type_bare(tp.type_guard, options)}]" elif tp.type_is is not None: s += f"TypeIs[{format_type_bare(tp.type_is, options)}]" else: s += format_type_bare(tp.ret_type, options) if tp.variables: tvars = [] for tvar in tp.variables: if isinstance(tvar, TypeVarType): upper_bound = get_proper_type(tvar.upper_bound) if not ( isinstance(upper_bound, Instance) and upper_bound.type.fullname == "builtins.object" ): tvars.append(f"{tvar.name}: {format_type_bare(upper_bound, options)}") elif tvar.values: tvars.append( "{}: ({})".format( tvar.name, ", ".join([format_type_bare(tp, options) for tp in tvar.values]), ) ) else: tvars.append(tvar.name) else: # For other TypeVarLikeTypes, just use the repr tvars.append(repr(tvar)) s = f"[{', '.join(tvars)}] {s}" return f"def {s}" def get_first_arg(tp: CallableType) -> str | None: definition = get_func_def(tp) if not isinstance(definition, FuncDef) or not definition.info or definition.is_static: return None return definition.original_first_arg def variance_string(variance: int) -> str: if variance == COVARIANT: return "covariant" elif variance == CONTRAVARIANT: return "contravariant" else: return "invariant" def get_missing_protocol_members(left: Instance, right: Instance, skip: list[str]) -> list[str]: """Find all protocol members of 'right' that are not implemented (i.e. completely missing) in 'left'. """ assert right.type.is_protocol missing: list[str] = [] for member in right.type.protocol_members: if member in skip: continue if not find_member(member, left, left): missing.append(member) return missing def get_conflict_protocol_types( left: Instance, right: Instance, class_obj: bool = False, options: Options | None = None ) -> list[tuple[str, Type, Type, bool]]: """Find members that are defined in 'left' but have incompatible types. Return them as a list of ('member', 'got', 'expected', 'is_lvalue'). """ assert right.type.is_protocol conflicts: list[tuple[str, Type, Type, bool]] = [] for member in right.type.protocol_members: if member in ("__init__", "__new__"): continue supertype = find_member(member, right, left) assert supertype is not None subtype = mypy.typeops.get_protocol_member(left, member, class_obj) if not subtype: continue is_compat = is_subtype(subtype, supertype, ignore_pos_arg_names=True, options=options) if not is_compat: conflicts.append((member, subtype, supertype, False)) superflags = get_member_flags(member, right) if IS_SETTABLE not in superflags: continue different_setter = False if IS_EXPLICIT_SETTER in superflags: set_supertype = find_member(member, right, left, is_lvalue=True) if set_supertype and not is_same_type(set_supertype, supertype): different_setter = True supertype = set_supertype if IS_EXPLICIT_SETTER in get_member_flags(member, left): set_subtype = mypy.typeops.get_protocol_member(left, member, class_obj, is_lvalue=True) if set_subtype and not is_same_type(set_subtype, subtype): different_setter = True subtype = set_subtype if not is_compat and not different_setter: # We already have this conflict listed, avoid duplicates. continue assert supertype is not None and subtype is not None is_compat = is_subtype(supertype, subtype, options=options) if not is_compat: conflicts.append((member, subtype, supertype, different_setter)) return conflicts def get_bad_protocol_flags( left: Instance, right: Instance, class_obj: bool = False ) -> list[tuple[str, set[int], set[int]]]: """Return all incompatible attribute flags for members that are present in both 'left' and 'right'. """ assert right.type.is_protocol all_flags: list[tuple[str, set[int], set[int]]] = [] for member in right.type.protocol_members: if find_member(member, left, left, class_obj=class_obj): all_flags.append( ( member, get_member_flags(member, left, class_obj=class_obj), get_member_flags(member, right), ) ) bad_flags = [] for name, subflags, superflags in all_flags: if ( IS_CLASSVAR in subflags and IS_CLASSVAR not in superflags and IS_SETTABLE in superflags or IS_CLASSVAR in superflags and IS_CLASSVAR not in subflags or IS_SETTABLE in superflags and IS_SETTABLE not in subflags or IS_CLASS_OR_STATIC in superflags and IS_CLASS_OR_STATIC not in subflags or class_obj and IS_VAR in superflags and IS_CLASSVAR not in subflags or class_obj and IS_CLASSVAR in superflags ): bad_flags.append((name, subflags, superflags)) return bad_flags def capitalize(s: str) -> str: """Capitalize the first character of a string.""" if s == "": return "" else: return s[0].upper() + s[1:] def extract_type(name: str) -> str: """If the argument is the name of a method (of form C.m), return the type portion in quotes (e.g. "y"). Otherwise, return the string unmodified. """ name = re.sub('^"[a-zA-Z0-9_]+" of ', "", name) return name def strip_quotes(s: str) -> str: """Strip a double quote at the beginning and end of the string, if any.""" s = re.sub('^"', "", s) s = re.sub('"$', "", s) return s def format_string_list(lst: list[str]) -> str: assert lst if len(lst) == 1: return lst[0] elif len(lst) <= 5: return f"{', '.join(lst[:-1])} and {lst[-1]}" else: return "%s, ... and %s (%i methods suppressed)" % ( ", ".join(lst[:2]), lst[-1], len(lst) - 3, ) def format_item_name_list(s: Iterable[str]) -> str: lst = list(s) if len(lst) <= 5: return "(" + ", ".join([f'"{name}"' for name in lst]) + ")" else: return "(" + ", ".join([f'"{name}"' for name in lst[:5]]) + ", ...)" def callable_name(type: FunctionLike) -> str | None: name = type.get_name() if name is not None and name[0] != "<": return f'"{name}"'.replace(" of ", '" of "') return name def for_function(callee: CallableType) -> str: name = callable_name(callee) if name is not None: return f" for {name}" return "" def wrong_type_arg_count(low: int, high: int, act: str, name: str) -> str: if low == high: s = f"{low} type arguments" if low == 0: s = "no type arguments" elif low == 1: s = "1 type argument" else: s = f"between {low} and {high} type arguments" if act == "0": act = "none" return f'"{name}" expects {s}, but {act} given' def find_defining_module(modules: dict[str, MypyFile], typ: CallableType) -> MypyFile | None: if not typ.definition: return None fullname = typ.definition.fullname if "." in fullname: for i in range(fullname.count(".")): module_name = fullname.rsplit(".", i + 1)[0] try: return modules[module_name] except KeyError: pass assert False, "Couldn't determine module from CallableType" return None # For hard-coding suggested missing member alternatives. COMMON_MISTAKES: Final[dict[str, Sequence[str]]] = {"add": ("append", "extend")} def _real_quick_ratio(a: str, b: str) -> float: # this is an upper bound on difflib.SequenceMatcher.ratio # similar to difflib.SequenceMatcher.real_quick_ratio, but faster since we don't instantiate al = len(a) bl = len(b) return 2.0 * min(al, bl) / (al + bl) def best_matches(current: str, options: Collection[str], n: int) -> list[str]: if not current: return [] # narrow down options cheaply options = [o for o in options if _real_quick_ratio(current, o) > 0.75] if len(options) >= 50: options = [o for o in options if abs(len(o) - len(current)) <= 1] ratios = {option: difflib.SequenceMatcher(a=current, b=option).ratio() for option in options} options = [option for option, ratio in ratios.items() if ratio > 0.75] return sorted(options, key=lambda v: (-ratios[v], v))[:n] def pretty_seq(args: Sequence[str], conjunction: str) -> str: quoted = ['"' + a + '"' for a in args] if len(quoted) == 1: return quoted[0] if len(quoted) == 2: return f"{quoted[0]} {conjunction} {quoted[1]}" last_sep = ", " + conjunction + " " return ", ".join(quoted[:-1]) + last_sep + quoted[-1] def append_invariance_notes( notes: list[str], arg_type: Instance, expected_type: Instance ) -> list[str]: """Explain that the type is invariant and give notes for how to solve the issue.""" invariant_type = "" covariant_suggestion = "" if ( arg_type.type.fullname == "builtins.list" and expected_type.type.fullname == "builtins.list" and is_subtype(arg_type.args[0], expected_type.args[0]) ): invariant_type = "list" covariant_suggestion = 'Consider using "Sequence" instead, which is covariant' elif ( arg_type.type.fullname == "builtins.dict" and expected_type.type.fullname == "builtins.dict" and is_same_type(arg_type.args[0], expected_type.args[0]) and is_subtype(arg_type.args[1], expected_type.args[1]) ): invariant_type = "dict" covariant_suggestion = ( 'Consider using "Mapping" instead, which is covariant in the value type' ) if invariant_type and covariant_suggestion: notes.append( f'"{invariant_type}" is invariant -- see ' + "https://mypy.readthedocs.io/en/stable/common_issues.html#variance" ) notes.append(covariant_suggestion) return notes def append_union_note( notes: list[str], arg_type: UnionType, expected_type: UnionType, options: Options ) -> list[str]: """Point to specific union item(s) that may cause failure in subtype check.""" non_matching = [] items = flatten_nested_unions(arg_type.items) if len(items) < MAX_UNION_ITEMS: return notes for item in items: if not is_subtype(item, expected_type): non_matching.append(item) if non_matching: types = ", ".join([format_type(typ, options) for typ in non_matching]) notes.append(f"Item{plural_s(non_matching)} in the first union not in the second: {types}") return notes def append_numbers_notes( notes: list[str], arg_type: Instance, expected_type: Instance ) -> list[str]: """Explain if an unsupported type from "numbers" is used in a subtype check.""" if expected_type.type.fullname in UNSUPPORTED_NUMBERS_TYPES: notes.append('Types from "numbers" aren\'t supported for static type checking') notes.append("See https://peps.python.org/pep-0484/#the-numeric-tower") notes.append("Consider using a protocol instead, such as typing.SupportsFloat") return notes def make_inferred_type_note( context: Context, subtype: Type, supertype: Type, supertype_str: str ) -> str: """Explain that the user may have forgotten to type a variable. The user does not expect an error if the inferred container type is the same as the return type of a function and the argument type(s) are a subtype of the argument type(s) of the return type. This note suggests that they add a type annotation with the return type instead of relying on the inferred type. """ subtype = get_proper_type(subtype) supertype = get_proper_type(supertype) if ( isinstance(subtype, Instance) and isinstance(supertype, Instance) and subtype.type.fullname == supertype.type.fullname and subtype.args and supertype.args and isinstance(context, ReturnStmt) and isinstance(context.expr, NameExpr) and isinstance(context.expr.node, Var) and context.expr.node.is_inferred ): for subtype_arg, supertype_arg in zip(subtype.args, supertype.args): if not is_subtype(subtype_arg, supertype_arg): return "" var_name = context.expr.name return 'Perhaps you need a type annotation for "{}"? Suggestion: {}'.format( var_name, supertype_str ) return "" def format_key_list(keys: list[str], *, short: bool = False) -> str: formatted_keys = [f'"{key}"' for key in keys] td = "" if short else "TypedDict " if len(keys) == 0: return f"no {td}keys" elif len(keys) == 1: return f"{td}key {formatted_keys[0]}" else: return f"{td}keys ({', '.join(formatted_keys)})" def ignore_last_known_values(t: UnionType) -> Type: """This will avoid types like str | str in error messages. last_known_values are kept during union simplification, but may cause weird formatting for e.g. tuples of literals. """ union_items: list[Type] = [] seen_instances = set() for item in t.items: if isinstance(item, ProperType) and isinstance(item, Instance): erased = item.copy_modified(last_known_value=None) if erased in seen_instances: continue seen_instances.add(erased) union_items.append(erased) else: union_items.append(item) return UnionType.make_union(union_items, t.line, t.column) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/metastore.py0000644000175100017510000001470615112307767015642 0ustar00runnerrunner"""Interfaces for accessing metadata. We provide two implementations. * The "classic" file system implementation, which uses a directory structure of files. * A hokey sqlite backed implementation, which basically simulates the file system in an effort to work around poor file system performance on OS X. """ from __future__ import annotations import binascii import os import time from abc import abstractmethod from collections.abc import Iterable from typing import TYPE_CHECKING, Any if TYPE_CHECKING: # We avoid importing sqlite3 unless we are using it so we can mostly work # on semi-broken pythons that are missing it. import sqlite3 class MetadataStore: """Generic interface for metadata storage.""" @abstractmethod def getmtime(self, name: str) -> float: """Read the mtime of a metadata entry. Raises FileNotFound if the entry does not exist. """ @abstractmethod def read(self, name: str) -> bytes: """Read the contents of a metadata entry. Raises FileNotFound if the entry does not exist. """ @abstractmethod def write(self, name: str, data: bytes, mtime: float | None = None) -> bool: """Write a metadata entry. If mtime is specified, set it as the mtime of the entry. Otherwise, the current time is used. Returns True if the entry is successfully written, False otherwise. """ @abstractmethod def remove(self, name: str) -> None: """Delete a metadata entry""" @abstractmethod def commit(self) -> None: """If the backing store requires a commit, do it. But N.B. that this is not *guaranteed* to do anything, and there is no guarantee that changes are not made until it is called. """ @abstractmethod def list_all(self) -> Iterable[str]: ... def random_string() -> str: return binascii.hexlify(os.urandom(8)).decode("ascii") class FilesystemMetadataStore(MetadataStore): def __init__(self, cache_dir_prefix: str) -> None: # We check startswith instead of equality because the version # will have already been appended by the time the cache dir is # passed here. if cache_dir_prefix.startswith(os.devnull): self.cache_dir_prefix = None else: self.cache_dir_prefix = cache_dir_prefix def getmtime(self, name: str) -> float: if not self.cache_dir_prefix: raise FileNotFoundError() return int(os.path.getmtime(os.path.join(self.cache_dir_prefix, name))) def read(self, name: str) -> bytes: assert os.path.normpath(name) != os.path.abspath(name), "Don't use absolute paths!" if not self.cache_dir_prefix: raise FileNotFoundError() with open(os.path.join(self.cache_dir_prefix, name), "rb") as f: return f.read() def write(self, name: str, data: bytes, mtime: float | None = None) -> bool: assert os.path.normpath(name) != os.path.abspath(name), "Don't use absolute paths!" if not self.cache_dir_prefix: return False path = os.path.join(self.cache_dir_prefix, name) tmp_filename = path + "." + random_string() try: os.makedirs(os.path.dirname(path), exist_ok=True) with open(tmp_filename, "wb") as f: f.write(data) os.replace(tmp_filename, path) if mtime is not None: os.utime(path, times=(mtime, mtime)) except OSError: return False return True def remove(self, name: str) -> None: if not self.cache_dir_prefix: raise FileNotFoundError() os.remove(os.path.join(self.cache_dir_prefix, name)) def commit(self) -> None: pass def list_all(self) -> Iterable[str]: if not self.cache_dir_prefix: return for dir, _, files in os.walk(self.cache_dir_prefix): dir = os.path.relpath(dir, self.cache_dir_prefix) for file in files: yield os.path.normpath(os.path.join(dir, file)) SCHEMA = """ CREATE TABLE IF NOT EXISTS files2 ( path TEXT UNIQUE NOT NULL, mtime REAL, data BLOB ); CREATE INDEX IF NOT EXISTS path_idx on files2(path); """ def connect_db(db_file: str) -> sqlite3.Connection: import sqlite3.dbapi2 db = sqlite3.dbapi2.connect(db_file) db.executescript(SCHEMA) return db class SqliteMetadataStore(MetadataStore): def __init__(self, cache_dir_prefix: str) -> None: # We check startswith instead of equality because the version # will have already been appended by the time the cache dir is # passed here. if cache_dir_prefix.startswith(os.devnull): self.db = None return os.makedirs(cache_dir_prefix, exist_ok=True) self.db = connect_db(os.path.join(cache_dir_prefix, "cache.db")) def _query(self, name: str, field: str) -> Any: # Raises FileNotFound for consistency with the file system version if not self.db: raise FileNotFoundError() cur = self.db.execute(f"SELECT {field} FROM files2 WHERE path = ?", (name,)) results = cur.fetchall() if not results: raise FileNotFoundError() assert len(results) == 1 return results[0][0] def getmtime(self, name: str) -> float: mtime = self._query(name, "mtime") assert isinstance(mtime, float) return mtime def read(self, name: str) -> bytes: data = self._query(name, "data") assert isinstance(data, bytes) return data def write(self, name: str, data: bytes, mtime: float | None = None) -> bool: import sqlite3 if not self.db: return False try: if mtime is None: mtime = time.time() self.db.execute( "INSERT OR REPLACE INTO files2(path, mtime, data) VALUES(?, ?, ?)", (name, mtime, data), ) except sqlite3.OperationalError: return False return True def remove(self, name: str) -> None: if not self.db: raise FileNotFoundError() self.db.execute("DELETE FROM files2 WHERE path = ?", (name,)) def commit(self) -> None: if self.db: self.db.commit() def list_all(self) -> Iterable[str]: if self.db: for row in self.db.execute("SELECT path FROM files2"): yield row[0] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/mixedtraverser.py0000644000175100017510000000735515112307767016705 0ustar00runnerrunnerfrom __future__ import annotations from mypy.nodes import ( AssertTypeExpr, AssignmentStmt, CastExpr, ClassDef, ForStmt, FuncItem, NamedTupleExpr, NewTypeExpr, PromoteExpr, TypeAlias, TypeAliasExpr, TypeAliasStmt, TypeApplication, TypedDictExpr, TypeFormExpr, TypeVarExpr, Var, WithStmt, ) from mypy.traverser import TraverserVisitor from mypy.types import Type from mypy.typetraverser import TypeTraverserVisitor class MixedTraverserVisitor(TraverserVisitor, TypeTraverserVisitor): """Recursive traversal of both Node and Type objects.""" def __init__(self) -> None: self.in_type_alias_expr = False # Symbol nodes def visit_var(self, var: Var, /) -> None: self.visit_optional_type(var.type) def visit_func(self, o: FuncItem, /) -> None: super().visit_func(o) self.visit_optional_type(o.type) def visit_class_def(self, o: ClassDef, /) -> None: # TODO: Should we visit generated methods/variables as well, either here or in # TraverserVisitor? super().visit_class_def(o) info = o.info if info: for base in info.bases: base.accept(self) if info.special_alias: info.special_alias.accept(self) def visit_type_alias_expr(self, o: TypeAliasExpr, /) -> None: super().visit_type_alias_expr(o) o.node.accept(self) def visit_type_var_expr(self, o: TypeVarExpr, /) -> None: super().visit_type_var_expr(o) o.upper_bound.accept(self) for value in o.values: value.accept(self) def visit_typeddict_expr(self, o: TypedDictExpr, /) -> None: super().visit_typeddict_expr(o) self.visit_optional_type(o.info.typeddict_type) def visit_namedtuple_expr(self, o: NamedTupleExpr, /) -> None: super().visit_namedtuple_expr(o) assert o.info.tuple_type o.info.tuple_type.accept(self) def visit__promote_expr(self, o: PromoteExpr, /) -> None: super().visit__promote_expr(o) o.type.accept(self) def visit_newtype_expr(self, o: NewTypeExpr, /) -> None: super().visit_newtype_expr(o) self.visit_optional_type(o.old_type) # Statements def visit_assignment_stmt(self, o: AssignmentStmt, /) -> None: super().visit_assignment_stmt(o) self.visit_optional_type(o.type) def visit_type_alias_stmt(self, o: TypeAliasStmt, /) -> None: super().visit_type_alias_stmt(o) if o.alias_node is not None: o.alias_node.accept(self) def visit_type_alias(self, o: TypeAlias, /) -> None: super().visit_type_alias(o) self.in_type_alias_expr = True o.target.accept(self) self.in_type_alias_expr = False def visit_for_stmt(self, o: ForStmt, /) -> None: super().visit_for_stmt(o) self.visit_optional_type(o.index_type) def visit_with_stmt(self, o: WithStmt, /) -> None: super().visit_with_stmt(o) for typ in o.analyzed_types: typ.accept(self) # Expressions def visit_cast_expr(self, o: CastExpr, /) -> None: super().visit_cast_expr(o) o.type.accept(self) def visit_type_form_expr(self, o: TypeFormExpr, /) -> None: super().visit_type_form_expr(o) o.type.accept(self) def visit_assert_type_expr(self, o: AssertTypeExpr, /) -> None: super().visit_assert_type_expr(o) o.type.accept(self) def visit_type_application(self, o: TypeApplication, /) -> None: super().visit_type_application(o) for t in o.types: t.accept(self) # Helpers def visit_optional_type(self, t: Type | None, /) -> None: if t: t.accept(self) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/modulefinder.py0000644000175100017510000012362015112307767016310 0ustar00runnerrunner"""Low-level infrastructure to find modules. This builds on fscache.py; find_sources.py builds on top of this. """ from __future__ import annotations import ast import collections import functools import os import re import subprocess import sys from enum import Enum, unique from typing import Final, Optional, Union from typing_extensions import TypeAlias as _TypeAlias from pathspec import PathSpec from pathspec.patterns.gitwildmatch import GitWildMatchPatternError from mypy import pyinfo from mypy.errors import CompileError from mypy.fscache import FileSystemCache from mypy.nodes import MypyFile from mypy.options import Options from mypy.stubinfo import stub_distribution_name from mypy.util import os_path_join # Paths to be searched in find_module(). class SearchPaths: def __init__( self, python_path: tuple[str, ...], mypy_path: tuple[str, ...], package_path: tuple[str, ...], typeshed_path: tuple[str, ...], ) -> None: # where user code is found self.python_path = tuple(map(os.path.abspath, python_path)) # from $MYPYPATH or config variable self.mypy_path = tuple(map(os.path.abspath, mypy_path)) # from get_site_packages_dirs() self.package_path = tuple(map(os.path.abspath, package_path)) # paths in typeshed self.typeshed_path = tuple(map(os.path.abspath, typeshed_path)) def asdict(self) -> dict[str, tuple[str, ...]]: return { "python_path": self.python_path, "mypy_path": self.mypy_path, "package_path": self.package_path, "typeshed_path": self.typeshed_path, } # Package dirs are a two-tuple of path to search and whether to verify the module OnePackageDir = tuple[str, bool] PackageDirs = list[OnePackageDir] # Minimum and maximum Python versions for modules in stdlib as (major, minor) StdlibVersions: _TypeAlias = dict[str, tuple[tuple[int, int], Optional[tuple[int, int]]]] PYTHON_EXTENSIONS: Final = [".pyi", ".py"] # TODO: Consider adding more reasons here? # E.g. if we deduce a module would likely be found if the user were # to set the --namespace-packages flag. @unique class ModuleNotFoundReason(Enum): # The module was not found: we found neither stubs nor a plausible code # implementation (with or without a py.typed file). NOT_FOUND = 0 # The implementation for this module plausibly exists (e.g. we # found a matching folder or *.py file), but either the parent package # did not contain a py.typed file or we were unable to find a # corresponding *-stubs package. FOUND_WITHOUT_TYPE_HINTS = 1 # The module was not found in the current working directory, but # was able to be found in the parent directory. WRONG_WORKING_DIRECTORY = 2 # Stub PyPI package (typically types-pkgname) known to exist but not installed. APPROVED_STUBS_NOT_INSTALLED = 3 def error_message_templates(self, daemon: bool) -> tuple[str, list[str]]: doc_link = "See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports" if self is ModuleNotFoundReason.NOT_FOUND: msg = 'Cannot find implementation or library stub for module named "{module}"' notes = [doc_link] elif self is ModuleNotFoundReason.WRONG_WORKING_DIRECTORY: msg = 'Cannot find implementation or library stub for module named "{module}"' notes = [ "You may be running mypy in a subpackage, mypy should be run on the package root" ] elif self is ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS: msg = ( 'Skipping analyzing "{module}": module is installed, but missing library stubs ' "or py.typed marker" ) notes = [doc_link] elif self is ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED: msg = 'Library stubs not installed for "{module}"' notes = ['Hint: "python3 -m pip install {stub_dist}"'] if not daemon: notes.append( '(or run "mypy --install-types" to install all missing stub packages)' ) notes.append(doc_link) else: assert False return msg, notes # If we found the module, returns the path to the module as a str. # Otherwise, returns the reason why the module wasn't found. ModuleSearchResult = Union[str, ModuleNotFoundReason] class BuildSource: """A single source file.""" def __init__( self, path: str | None, module: str | None, text: str | None = None, base_dir: str | None = None, followed: bool = False, ) -> None: self.path = path # File where it's found (e.g. 'xxx/yyy/foo/bar.py') self.module = module or "__main__" # Module name (e.g. 'foo.bar') self.text = text # Source code, if initially supplied, else None self.base_dir = base_dir # Directory where the package is rooted (e.g. 'xxx/yyy') self.followed = followed # Was this found by following imports? def __repr__(self) -> str: return ( "BuildSource(path={!r}, module={!r}, has_text={}, base_dir={!r}, followed={})".format( self.path, self.module, self.text is not None, self.base_dir, self.followed ) ) class BuildSourceSet: """Helper to efficiently test a file's membership in a set of build sources.""" def __init__(self, sources: list[BuildSource]) -> None: self.source_text_present = False self.source_modules: dict[str, str] = {} self.source_paths: set[str] = set() for source in sources: if source.text is not None: self.source_text_present = True if source.path: self.source_paths.add(source.path) if source.module: self.source_modules[source.module] = source.path or "" def is_source(self, file: MypyFile) -> bool: return ( (file.path and file.path in self.source_paths) or file._fullname in self.source_modules or self.source_text_present ) class FindModuleCache: """Module finder with integrated cache. Module locations and some intermediate results are cached internally and can be cleared with the clear() method. All file system accesses are performed through a FileSystemCache, which is not ever cleared by this class. If necessary it must be cleared by client code. """ def __init__( self, search_paths: SearchPaths, fscache: FileSystemCache | None, options: Options | None, stdlib_py_versions: StdlibVersions | None = None, source_set: BuildSourceSet | None = None, ) -> None: self.search_paths = search_paths self.source_set = source_set self.fscache = fscache or FileSystemCache() # Cache for get_toplevel_possibilities: # search_paths -> (toplevel_id -> list(package_dirs)) self.initial_components: dict[tuple[str, ...], dict[str, list[str]]] = {} # Cache find_module: id -> result self.results: dict[str, ModuleSearchResult] = {} self.ns_ancestors: dict[str, str] = {} self.options = options custom_typeshed_dir = None if options: custom_typeshed_dir = options.custom_typeshed_dir self.stdlib_py_versions = stdlib_py_versions or load_stdlib_py_versions( custom_typeshed_dir ) def clear(self) -> None: self.results.clear() self.initial_components.clear() self.ns_ancestors.clear() def find_module_via_source_set(self, id: str) -> ModuleSearchResult | None: """Fast path to find modules by looking through the input sources This is only used when --fast-module-lookup is passed on the command line.""" if not self.source_set: return None p = self.source_set.source_modules.get(id, None) if p and self.fscache.isfile(p): # We need to make sure we still have __init__.py all the way up # otherwise we might have false positives compared to slow path # in case of deletion of init files, which is covered by some tests. # TODO: are there some combination of flags in which this check should be skipped? d = os.path.dirname(p) for _ in range(id.count(".")): if not any( self.fscache.isfile(os_path_join(d, "__init__" + x)) for x in PYTHON_EXTENSIONS ): return None d = os.path.dirname(d) return p idx = id.rfind(".") if idx != -1: # When we're looking for foo.bar.baz and can't find a matching module # in the source set, look up for a foo.bar module. parent = self.find_module_via_source_set(id[:idx]) if parent is None or not isinstance(parent, str): return None basename, ext = os.path.splitext(parent) if not any(parent.endswith("__init__" + x) for x in PYTHON_EXTENSIONS) and ( ext in PYTHON_EXTENSIONS and not self.fscache.isdir(basename) ): # If we do find such a *module* (and crucially, we don't want a package, # hence the filtering out of __init__ files, and checking for the presence # of a folder with a matching name), then we can be pretty confident that # 'baz' will either be a top-level variable in foo.bar, or will not exist. # # Either way, spelunking in other search paths for another 'foo.bar.baz' # module should be avoided because: # 1. in the unlikely event that one were found, it's highly likely that # it would be unrelated to the source being typechecked and therefore # more likely to lead to erroneous results # 2. as described in _find_module, in some cases the search itself could # potentially waste significant amounts of time return ModuleNotFoundReason.NOT_FOUND return None def find_lib_path_dirs(self, id: str, lib_path: tuple[str, ...]) -> PackageDirs: """Find which elements of a lib_path have the directory a module needs to exist.""" components = id.split(".") dir_chain = os.sep.join(components[:-1]) # e.g., 'foo/bar' dirs = [] for pathitem in self.get_toplevel_possibilities(lib_path, components[0]): # e.g., '/usr/lib/python3.4/foo/bar' if dir_chain: dir = os_path_join(pathitem, dir_chain) else: dir = pathitem if self.fscache.isdir(dir): dirs.append((dir, True)) return dirs def get_toplevel_possibilities(self, lib_path: tuple[str, ...], id: str) -> list[str]: """Find which elements of lib_path could contain a particular top-level module. In practice, almost all modules can be routed to the correct entry in lib_path by looking at just the first component of the module name. We take advantage of this by enumerating the contents of all of the directories on the lib_path and building a map of which entries in the lib_path could contain each potential top-level module that appears. """ if lib_path in self.initial_components: return self.initial_components[lib_path].get(id, []) # Enumerate all the files in the directories on lib_path and produce the map components: dict[str, list[str]] = {} for dir in lib_path: try: contents = self.fscache.listdir(dir) except OSError: contents = [] # False positives are fine for correctness here, since we will check # precisely later, so we only look at the root of every filename without # any concern for the exact details. for name in contents: name = os.path.splitext(name)[0] components.setdefault(name, []).append(dir) self.initial_components[lib_path] = components return components.get(id, []) def find_module(self, id: str, *, fast_path: bool = False) -> ModuleSearchResult: """Return the path of the module source file or why it wasn't found. If fast_path is True, prioritize performance over generating detailed error descriptions. """ if id not in self.results: top_level = id.partition(".")[0] use_typeshed = True if id in self.stdlib_py_versions: use_typeshed = self._typeshed_has_version(id) elif top_level in self.stdlib_py_versions: use_typeshed = self._typeshed_has_version(top_level) result, should_cache = self._find_module(id, use_typeshed) if should_cache: if ( not ( fast_path or (self.options is not None and self.options.fast_module_lookup) ) and result is ModuleNotFoundReason.NOT_FOUND and self._can_find_module_in_parent_dir(id) ): self.results[id] = ModuleNotFoundReason.WRONG_WORKING_DIRECTORY else: self.results[id] = result return self.results[id] else: return result return self.results[id] def _typeshed_has_version(self, module: str) -> bool: if not self.options: return True version = typeshed_py_version(self.options) min_version, max_version = self.stdlib_py_versions[module] return version >= min_version and (max_version is None or version <= max_version) def _find_module_non_stub_helper( self, id: str, pkg_dir: str ) -> OnePackageDir | ModuleNotFoundReason: plausible_match = False dir_path = pkg_dir components = id.split(".") for index, component in enumerate(components): dir_path = os_path_join(dir_path, component) if self.fscache.isfile(os_path_join(dir_path, "py.typed")): return os.path.join(pkg_dir, *components[:-1]), index == 0 elif not plausible_match and ( self.fscache.isdir(dir_path) or self.fscache.isfile(dir_path + ".py") ): plausible_match = True # If this is not a directory then we can't traverse further into it if not self.fscache.isdir(dir_path): break if plausible_match: if self.options: module_specific_options = self.options.clone_for_module(id) if module_specific_options.follow_untyped_imports: return os.path.join(pkg_dir, *components[:-1]), False return ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS else: return ModuleNotFoundReason.NOT_FOUND def _update_ns_ancestors(self, components: list[str], match: tuple[str, bool]) -> None: path, verify = match for i in range(1, len(components)): pkg_id = ".".join(components[:-i]) if pkg_id not in self.ns_ancestors and self.fscache.isdir(path): self.ns_ancestors[pkg_id] = path path = os.path.dirname(path) def _can_find_module_in_parent_dir(self, id: str) -> bool: """Test if a module can be found by checking the parent directories of the current working directory. """ working_dir = os.getcwd() parent_search = FindModuleCache( SearchPaths((), (), (), ()), self.fscache, self.options, stdlib_py_versions=self.stdlib_py_versions, ) while any(is_init_file(file) for file in os.listdir(working_dir)): working_dir = os.path.dirname(working_dir) parent_search.search_paths = SearchPaths((working_dir,), (), (), ()) if not isinstance(parent_search._find_module(id, False)[0], ModuleNotFoundReason): return True return False def _find_module(self, id: str, use_typeshed: bool) -> tuple[ModuleSearchResult, bool]: """Try to find a module in all available sources. Returns: ``(result, can_be_cached)`` pair. """ fscache = self.fscache # Fast path for any modules in the current source set. # This is particularly important when there are a large number of search # paths which share the first (few) component(s) due to the use of namespace # packages, for instance: # foo/ # company/ # __init__.py # foo/ # bar/ # company/ # __init__.py # bar/ # baz/ # company/ # __init__.py # baz/ # # mypy gets [foo/company/foo, bar/company/bar, baz/company/baz, ...] as input # and computes [foo, bar, baz, ...] as the module search path. # # This would result in O(n) search for every import of company.*, leading to # O(n**2) behavior in load_graph as such imports are unsurprisingly present # at least once, and usually many more times than that, in each and every file # being parsed. # # Thankfully, such cases are efficiently handled by looking up the module path # via BuildSourceSet. p = ( self.find_module_via_source_set(id) if (self.options is not None and self.options.fast_module_lookup) else None ) if p: return p, True # If we're looking for a module like 'foo.bar.baz', it's likely that most of the # many elements of lib_path don't even have a subdirectory 'foo/bar'. Discover # that only once and cache it for when we look for modules like 'foo.bar.blah' # that will require the same subdirectory. components = id.split(".") dir_chain = os.sep.join(components[:-1]) # e.g., 'foo/bar' # We have two sets of folders so that we collect *all* stubs folders and # put them in the front of the search path third_party_inline_dirs: PackageDirs = [] third_party_stubs_dirs: PackageDirs = [] found_possible_third_party_missing_type_hints = False # Third-party stub/typed packages candidate_package_dirs = { package_dir[0] for component in (components[0], components[0] + "-stubs") for package_dir in self.find_lib_path_dirs(component, self.search_paths.package_path) } # Caching FOUND_WITHOUT_TYPE_HINTS is not always safe. That causes issues with # typed subpackages in namespace packages. can_cache_any_result = True for pkg_dir in self.search_paths.package_path: if pkg_dir not in candidate_package_dirs: continue stub_name = components[0] + "-stubs" stub_dir = os_path_join(pkg_dir, stub_name) if fscache.isdir(stub_dir): stub_typed_file = os_path_join(stub_dir, "py.typed") stub_components = [stub_name] + components[1:] path = os.path.join(pkg_dir, *stub_components[:-1]) if fscache.isdir(path): if fscache.isfile(stub_typed_file): # Stub packages can have a py.typed file, which must include # 'partial\n' to make the package partial # Partial here means that mypy should look at the runtime # package if installed. if fscache.read(stub_typed_file).decode().strip() == "partial": runtime_path = os_path_join(pkg_dir, dir_chain) third_party_inline_dirs.append((runtime_path, True)) # if the package is partial, we don't verify the module, as # the partial stub package may not have a __init__.pyi third_party_stubs_dirs.append((path, False)) else: # handle the edge case where people put a py.typed file # in a stub package, but it isn't partial third_party_stubs_dirs.append((path, True)) else: third_party_stubs_dirs.append((path, True)) non_stub_match = self._find_module_non_stub_helper(id, pkg_dir) if isinstance(non_stub_match, ModuleNotFoundReason): if non_stub_match is ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS: found_possible_third_party_missing_type_hints = True can_cache_any_result = False else: third_party_inline_dirs.append(non_stub_match) self._update_ns_ancestors(components, non_stub_match) if self.options and self.options.use_builtins_fixtures: # Everything should be in fixtures. third_party_inline_dirs.clear() third_party_stubs_dirs.clear() found_possible_third_party_missing_type_hints = False python_mypy_path = self.search_paths.mypy_path + self.search_paths.python_path candidate_base_dirs = self.find_lib_path_dirs(id, python_mypy_path) if use_typeshed: # Search for stdlib stubs in typeshed before installed # stubs to avoid picking up backports (dataclasses, for # example) when the library is included in stdlib. candidate_base_dirs += self.find_lib_path_dirs(id, self.search_paths.typeshed_path) candidate_base_dirs += third_party_stubs_dirs + third_party_inline_dirs # If we're looking for a module like 'foo.bar.baz', then candidate_base_dirs now # contains just the subdirectories 'foo/bar' that actually exist under the # elements of lib_path. This is probably much shorter than lib_path itself. # Now just look for 'baz.pyi', 'baz/__init__.py', etc., inside those directories. seplast = os.sep + components[-1] # so e.g. '/baz' sepinit = os.sep + "__init__" near_misses = [] # Collect near misses for namespace mode (see below). for base_dir, verify in candidate_base_dirs: base_path = base_dir + seplast # so e.g. '/usr/lib/python3.4/foo/bar/baz' has_init = False dir_prefix = base_dir for _ in range(len(components) - 1): dir_prefix = os.path.dirname(dir_prefix) # Stubs-only packages always take precedence over py.typed packages path_stubs = f"{base_path}-stubs{sepinit}.pyi" if fscache.isfile_case(path_stubs, dir_prefix): if verify and not verify_module(fscache, id, path_stubs, dir_prefix): near_misses.append((path_stubs, dir_prefix)) else: return path_stubs, True # Prefer package over module, i.e. baz/__init__.py* over baz.py*. for extension in PYTHON_EXTENSIONS: path = base_path + sepinit + extension if fscache.isfile_case(path, dir_prefix): has_init = True if verify and not verify_module(fscache, id, path, dir_prefix): near_misses.append((path, dir_prefix)) continue return path, True # In namespace mode, register a potential namespace package if self.options and self.options.namespace_packages: if ( not has_init and fscache.exists_case(base_path, dir_prefix) and not fscache.isfile_case(base_path, dir_prefix) ): near_misses.append((base_path, dir_prefix)) # No package, look for module. for extension in PYTHON_EXTENSIONS: path = base_path + extension if fscache.isfile_case(path, dir_prefix): if verify and not verify_module(fscache, id, path, dir_prefix): near_misses.append((path, dir_prefix)) continue return path, True # In namespace mode, re-check those entries that had 'verify'. # Assume search path entries xxx, yyy and zzz, and we're # looking for foo.bar.baz. Suppose near_misses has: # # - xxx/foo/bar/baz.py # - yyy/foo/bar/baz/__init__.py # - zzz/foo/bar/baz.pyi # # If any of the foo directories has __init__.py[i], it wins. # Else, we look for foo/bar/__init__.py[i], etc. If there are # none, the first hit wins. Note that this does not take into # account whether the lowest-level module is a file (baz.py), # a package (baz/__init__.py), or a stub file (baz.pyi) -- for # these the first one encountered along the search path wins. # # The helper function highest_init_level() returns an int that # indicates the highest level at which a __init__.py[i] file # is found; if no __init__ was found it returns 0, if we find # only foo/bar/__init__.py it returns 1, and if we have # foo/__init__.py it returns 2 (regardless of what's in # foo/bar). It doesn't look higher than that. if self.options and self.options.namespace_packages and near_misses: levels = [ highest_init_level(fscache, id, path, dir_prefix) for path, dir_prefix in near_misses ] index = levels.index(max(levels)) return near_misses[index][0], True # Finally, we may be asked to produce an ancestor for an # installed package with a py.typed marker that is a # subpackage of a namespace package. We only fess up to these # if we would otherwise return "not found". ancestor = self.ns_ancestors.get(id) if ancestor is not None: return ancestor, True approved_dist_name = stub_distribution_name(id) if approved_dist_name: if len(components) == 1: return ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED, True # If we're a missing submodule of an already installed approved stubs, we don't want to # error with APPROVED_STUBS_NOT_INSTALLED, but rather want to return NOT_FOUND. for i in range(1, len(components)): parent_id = ".".join(components[:i]) if stub_distribution_name(parent_id) == approved_dist_name: break else: return ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED, True if self.find_module(parent_id) is ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED: return ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED, True return ModuleNotFoundReason.NOT_FOUND, True if found_possible_third_party_missing_type_hints: return ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS, can_cache_any_result return ModuleNotFoundReason.NOT_FOUND, True def find_modules_recursive(self, module: str) -> list[BuildSource]: module_path = self.find_module(module, fast_path=True) if isinstance(module_path, ModuleNotFoundReason): return [] sources = [BuildSource(module_path, module, None)] package_path = None if is_init_file(module_path): package_path = os.path.dirname(module_path) elif self.fscache.isdir(module_path): package_path = module_path if package_path is None: return sources # This logic closely mirrors that in find_sources. One small but important difference is # that we do not sort names with keyfunc. The recursive call to find_modules_recursive # calls find_module, which will handle the preference between packages, pyi and py. # Another difference is it doesn't handle nested search paths / package roots. seen: set[str] = set() names = sorted(self.fscache.listdir(package_path)) for name in names: # Skip certain names altogether if name in ("__pycache__", "site-packages", "node_modules") or name.startswith("."): continue subpath = os_path_join(package_path, name) if self.options and matches_exclude( subpath, self.options.exclude, self.fscache, self.options.verbosity >= 2 ): continue if ( self.options and self.options.exclude_gitignore and matches_gitignore(subpath, self.fscache, self.options.verbosity >= 2) ): continue if self.fscache.isdir(subpath): # Only recurse into packages if (self.options and self.options.namespace_packages) or ( self.fscache.isfile(os_path_join(subpath, "__init__.py")) or self.fscache.isfile(os_path_join(subpath, "__init__.pyi")) ): seen.add(name) sources.extend(self.find_modules_recursive(module + "." + name)) else: stem, suffix = os.path.splitext(name) if stem == "__init__": continue if stem not in seen and "." not in stem and suffix in PYTHON_EXTENSIONS: # (If we sorted names by keyfunc) we could probably just make the BuildSource # ourselves, but this ensures compatibility with find_module / the cache seen.add(stem) sources.extend(self.find_modules_recursive(module + "." + stem)) return sources def matches_exclude( subpath: str, excludes: list[str], fscache: FileSystemCache, verbose: bool ) -> bool: if not excludes: return False subpath_str = os.path.relpath(subpath).replace(os.sep, "/") if fscache.isdir(subpath): subpath_str += "/" for exclude in excludes: try: if re.search(exclude, subpath_str): if verbose: print( f"TRACE: Excluding {subpath_str} (matches pattern {exclude})", file=sys.stderr, ) return True except re.error as e: print( f"error: The exclude {exclude} is an invalid regular expression, because: {e}" + ( "\n(Hint: use / as a path separator, even if you're on Windows!)" if "\\" in exclude else "" ) + "\nFor more information on Python's flavor of regex, see:" + " https://docs.python.org/3/library/re.html", file=sys.stderr, ) sys.exit(2) return False def matches_gitignore(subpath: str, fscache: FileSystemCache, verbose: bool) -> bool: dir, _ = os.path.split(subpath) for gi_path, gi_spec in find_gitignores(dir): relative_path = os.path.relpath(subpath, gi_path) if fscache.isdir(relative_path): relative_path = relative_path + "/" if gi_spec.match_file(relative_path): if verbose: print( f"TRACE: Excluding {relative_path} (matches .gitignore) in {gi_path}", file=sys.stderr, ) return True return False @functools.lru_cache def find_gitignores(dir: str) -> list[tuple[str, PathSpec]]: parent_dir = os.path.dirname(dir) if parent_dir == dir: parent_gitignores = [] else: parent_gitignores = find_gitignores(parent_dir) gitignore = os.path.join(dir, ".gitignore") if os.path.isfile(gitignore): with open(gitignore) as f: lines = f.readlines() try: return parent_gitignores + [(dir, PathSpec.from_lines("gitwildmatch", lines))] except GitWildMatchPatternError: print(f"error: could not parse {gitignore}", file=sys.stderr) return parent_gitignores return parent_gitignores def is_init_file(path: str) -> bool: return os.path.basename(path) in ("__init__.py", "__init__.pyi") def verify_module(fscache: FileSystemCache, id: str, path: str, prefix: str) -> bool: """Check that all packages containing id have a __init__ file.""" if is_init_file(path): path = os.path.dirname(path) for i in range(id.count(".")): path = os.path.dirname(path) if not any( fscache.isfile_case(os_path_join(path, f"__init__{extension}"), prefix) for extension in PYTHON_EXTENSIONS ): return False return True def highest_init_level(fscache: FileSystemCache, id: str, path: str, prefix: str) -> int: """Compute the highest level where an __init__ file is found.""" if is_init_file(path): path = os.path.dirname(path) level = 0 for i in range(id.count(".")): path = os.path.dirname(path) if any( fscache.isfile_case(os_path_join(path, f"__init__{extension}"), prefix) for extension in PYTHON_EXTENSIONS ): level = i + 1 return level def mypy_path() -> list[str]: path_env = os.getenv("MYPYPATH") if not path_env: return [] return path_env.split(os.pathsep) def default_lib_path( data_dir: str, pyversion: tuple[int, int], custom_typeshed_dir: str | None ) -> list[str]: """Return default standard library search paths. Guaranteed to be normalised.""" data_dir = os.path.abspath(data_dir) path: list[str] = [] if custom_typeshed_dir: custom_typeshed_dir = os.path.abspath(custom_typeshed_dir) typeshed_dir = os.path.join(custom_typeshed_dir, "stdlib") mypy_extensions_dir = os.path.join(custom_typeshed_dir, "stubs", "mypy-extensions") librt_dir = os.path.join(custom_typeshed_dir, "stubs", "librt") versions_file = os.path.join(typeshed_dir, "VERSIONS") if not os.path.isdir(typeshed_dir) or not os.path.isfile(versions_file): print( "error: --custom-typeshed-dir does not point to a valid typeshed ({})".format( custom_typeshed_dir ), file=sys.stderr, ) sys.exit(2) else: auto = os.path.join(data_dir, "stubs-auto") if os.path.isdir(auto): data_dir = auto typeshed_dir = os.path.join(data_dir, "typeshed", "stdlib") mypy_extensions_dir = os.path.join(data_dir, "typeshed", "stubs", "mypy-extensions") librt_dir = os.path.join(data_dir, "typeshed", "stubs", "librt") path.append(typeshed_dir) # Get mypy-extensions and librt stubs from typeshed, since we treat them as # "internal" libraries, similar to typing and typing-extensions. path.append(mypy_extensions_dir) path.append(librt_dir) # Add fallback path that can be used if we have a broken installation. if sys.platform != "win32": path.append("/usr/local/lib/mypy") if not path: print( "Could not resolve typeshed subdirectories. Your mypy install is broken.\n" "Python executable is located at {}.\nMypy located at {}".format( sys.executable, data_dir ), file=sys.stderr, ) sys.exit(1) return path @functools.cache def get_search_dirs(python_executable: str | None) -> tuple[list[str], list[str]]: """Find package directories for given python. Guaranteed to return absolute paths. This runs a subprocess call, which generates a list of the directories in sys.path. To avoid repeatedly calling a subprocess (which can be slow!) we lru_cache the results. """ if python_executable is None: return ([], []) elif python_executable == sys.executable: # Use running Python's package dirs sys_path, site_packages = pyinfo.getsearchdirs() else: # Use subprocess to get the package directory of given Python # executable env = {**dict(os.environ), "PYTHONSAFEPATH": "1"} try: sys_path, site_packages = ast.literal_eval( subprocess.check_output( [python_executable, pyinfo.__file__, "getsearchdirs"], env=env, stderr=subprocess.PIPE, ).decode() ) except subprocess.CalledProcessError as err: print(err.stderr) print(err.stdout) raise except OSError as err: assert err.errno is not None reason = os.strerror(err.errno) raise CompileError( [f"mypy: Invalid python executable '{python_executable}': {reason}"] ) from err return sys_path, site_packages def compute_search_paths( sources: list[BuildSource], options: Options, data_dir: str, alt_lib_path: str | None = None ) -> SearchPaths: """Compute the search paths as specified in PEP 561. There are the following 4 members created: - User code (from `sources`) - MYPYPATH (set either via config or environment variable) - installed package directories (which will later be split into stub-only and inline) - typeshed """ # Determine the default module search path. lib_path = collections.deque( default_lib_path( data_dir, options.python_version, custom_typeshed_dir=options.custom_typeshed_dir ) ) if options.use_builtins_fixtures: # Use stub builtins (to speed up test cases and to make them easier to # debug). This is a test-only feature, so assume our files are laid out # as in the source tree. # We also need to allow overriding where to look for it. Argh. root_dir = os.getenv("MYPY_TEST_PREFIX", None) if not root_dir: root_dir = os.path.dirname(os.path.dirname(__file__)) root_dir = os.path.abspath(root_dir) lib_path.appendleft(os.path.join(root_dir, "test-data", "unit", "lib-stub")) # alt_lib_path is used by some tests to bypass the normal lib_path mechanics. # If we don't have one, grab directories of source files. python_path: list[str] = [] if not alt_lib_path: for source in sources: # Include directory of the program file in the module search path. if source.base_dir: dir = source.base_dir if dir not in python_path: python_path.append(dir) # Do this even if running as a file, for sanity (mainly because with # multiple builds, there could be a mix of files/modules, so its easier # to just define the semantics that we always add the current director # to the lib_path # TODO: Don't do this in some cases; for motivation see see # https://github.com/python/mypy/issues/4195#issuecomment-341915031 if options.bazel: dir = "." else: dir = os.getcwd() if dir not in lib_path: python_path.insert(0, dir) # Start with a MYPYPATH environment variable at the front of the mypy_path, if defined. mypypath = mypy_path() # Add a config-defined mypy path. mypypath.extend(options.mypy_path) # If provided, insert the caller-supplied extra module path to the # beginning (highest priority) of the search path. if alt_lib_path: mypypath.insert(0, alt_lib_path) sys_path, site_packages = get_search_dirs(options.python_executable) # We only use site packages for this check for site in site_packages: assert site not in lib_path if ( site in mypypath or any(p.startswith(site + os.path.sep) for p in mypypath) or (os.path.altsep and any(p.startswith(site + os.path.altsep) for p in mypypath)) ): print(f"{site} is in the MYPYPATH. Please remove it.", file=sys.stderr) print( "See https://mypy.readthedocs.io/en/stable/running_mypy.html" "#how-mypy-handles-imports for more info", file=sys.stderr, ) sys.exit(1) return SearchPaths( python_path=tuple(reversed(python_path)), mypy_path=tuple(mypypath), package_path=tuple(sys_path + site_packages), typeshed_path=tuple(lib_path), ) def load_stdlib_py_versions(custom_typeshed_dir: str | None) -> StdlibVersions: """Return dict with minimum and maximum Python versions of stdlib modules. The contents look like {..., 'secrets': ((3, 6), None), 'symbol': ((2, 7), (3, 9)), ...} None means there is no maximum version. """ typeshed_dir = custom_typeshed_dir or os_path_join(os.path.dirname(__file__), "typeshed") stdlib_dir = os_path_join(typeshed_dir, "stdlib") result = {} versions_path = os_path_join(stdlib_dir, "VERSIONS") assert os.path.isfile(versions_path), (custom_typeshed_dir, versions_path, __file__) with open(versions_path) as f: for line in f: line = line.split("#")[0].strip() if line == "": continue module, version_range = line.split(":") versions = version_range.split("-") min_version = parse_version(versions[0]) max_version = ( parse_version(versions[1]) if len(versions) >= 2 and versions[1].strip() else None ) result[module] = min_version, max_version return result def parse_version(version: str) -> tuple[int, int]: major, minor = version.strip().split(".") return int(major), int(minor) def typeshed_py_version(options: Options) -> tuple[int, int]: """Return Python version used for checking whether module supports typeshed.""" # Typeshed no longer covers Python 3.x versions before 3.9, so 3.9 is # the earliest we can support. return max(options.python_version, (3, 9)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/moduleinspect.py0000644000175100017510000001426615112307767016513 0ustar00runnerrunner"""Basic introspection of modules.""" from __future__ import annotations import importlib import inspect import os import pkgutil import queue import sys from multiprocessing import Queue, get_context from types import ModuleType class ModuleProperties: # Note that all __init__ args must have default values def __init__( self, name: str = "", file: str | None = None, path: list[str] | None = None, all: list[str] | None = None, is_c_module: bool = False, subpackages: list[str] | None = None, ) -> None: self.name = name # __name__ attribute self.file = file # __file__ attribute self.path = path # __path__ attribute self.all = all # __all__ attribute self.is_c_module = is_c_module self.subpackages = subpackages or [] def is_c_module(module: ModuleType) -> bool: if module.__dict__.get("__file__") is None: # Could be a namespace package. These must be handled through # introspection, since there is no source file. return True return os.path.splitext(module.__dict__["__file__"])[-1] in [".so", ".pyd", ".dll"] def is_pyc_only(file: str | None) -> bool: return bool(file and file.endswith(".pyc") and not os.path.exists(file[:-1])) class InspectError(Exception): pass def get_package_properties(package_id: str) -> ModuleProperties: """Use runtime introspection to get information about a module/package.""" try: package = importlib.import_module(package_id) except BaseException as e: raise InspectError(str(e)) from e name = getattr(package, "__name__", package_id) file = getattr(package, "__file__", None) path: list[str] | None = getattr(package, "__path__", None) if not isinstance(path, list): path = None pkg_all = getattr(package, "__all__", None) if pkg_all is not None: try: pkg_all = list(pkg_all) except Exception: pkg_all = None is_c = is_c_module(package) if path is None: # Object has no path; this means it's either a module inside a package # (and thus no sub-packages), or it could be a C extension package. if is_c: # This is a C extension module, now get the list of all sub-packages # using the inspect module subpackages = [ package.__name__ + "." + name for name, val in inspect.getmembers(package) if inspect.ismodule(val) and val.__name__ == package.__name__ + "." + name ] else: # It's a module inside a package. There's nothing else to walk/yield. subpackages = [] else: all_packages = pkgutil.walk_packages( path, prefix=package.__name__ + ".", onerror=lambda r: None ) subpackages = [qualified_name for importer, qualified_name, ispkg in all_packages] return ModuleProperties( name=name, file=file, path=path, all=pkg_all, is_c_module=is_c, subpackages=subpackages ) def worker(tasks: Queue[str], results: Queue[str | ModuleProperties], sys_path: list[str]) -> None: """The main loop of a worker introspection process.""" sys.path = sys_path while True: mod = tasks.get() try: prop = get_package_properties(mod) except InspectError as e: results.put(str(e)) continue results.put(prop) class ModuleInspect: """Perform runtime introspection of modules in a separate process. Reuse the process for multiple modules for efficiency. However, if there is an error, retry using a fresh process to avoid cross-contamination of state between modules. We use a separate process to isolate us from many side effects. For example, the import of a module may kill the current process, and we want to recover from that. Always use in a with statement for proper clean-up: with ModuleInspect() as m: p = m.get_package_properties('urllib.parse') """ def __init__(self) -> None: self._start() def _start(self) -> None: if sys.platform == "linux": ctx = get_context("forkserver") else: ctx = get_context("spawn") self.tasks: Queue[str] = ctx.Queue() self.results: Queue[ModuleProperties | str] = ctx.Queue() self.proc = ctx.Process(target=worker, args=(self.tasks, self.results, sys.path)) self.proc.start() self.counter = 0 # Number of successful roundtrips def close(self) -> None: """Free any resources used.""" self.proc.terminate() def get_package_properties(self, package_id: str) -> ModuleProperties: """Return some properties of a module/package using runtime introspection. Raise InspectError if the target couldn't be imported. """ self.tasks.put(package_id) res = self._get_from_queue() if res is None: # The process died; recover and report error. self._start() raise InspectError(f"Process died when importing {package_id!r}") if isinstance(res, str): # Error importing module if self.counter > 0: # Also try with a fresh process. Maybe one of the previous imports has # corrupted some global state. self.close() self._start() return self.get_package_properties(package_id) raise InspectError(res) self.counter += 1 return res def _get_from_queue(self) -> ModuleProperties | str | None: """Get value from the queue. Return the value read from the queue, or None if the process unexpectedly died. """ max_iter = 600 n = 0 while True: if n == max_iter: raise RuntimeError("Timeout waiting for subprocess") try: return self.results.get(timeout=0.05) except queue.Empty: if not self.proc.is_alive(): return None n += 1 def __enter__(self) -> ModuleInspect: return self def __exit__(self, *args: object) -> None: self.close() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/mro.py0000644000175100017510000000371115112307767014426 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.nodes import TypeInfo from mypy.types import Instance from mypy.typestate import type_state def calculate_mro(info: TypeInfo, obj_type: Callable[[], Instance] | None = None) -> None: """Calculate and set mro (method resolution order). Raise MroError if cannot determine mro. """ mro = linearize_hierarchy(info, obj_type) assert mro, f"Could not produce a MRO at all for {info}" info.mro = mro # The property of falling back to Any is inherited. info.fallback_to_any = any(baseinfo.fallback_to_any for baseinfo in info.mro) type_state.reset_all_subtype_caches_for(info) class MroError(Exception): """Raised if a consistent mro cannot be determined for a class.""" def linearize_hierarchy( info: TypeInfo, obj_type: Callable[[], Instance] | None = None ) -> list[TypeInfo]: # TODO describe if info.mro: return info.mro bases = info.direct_base_classes() if not bases and info.fullname != "builtins.object" and obj_type is not None: # Probably an error, add a dummy `object` base class, # otherwise MRO calculation may spuriously fail. bases = [obj_type().type] lin_bases = [] for base in bases: assert base is not None, f"Cannot linearize bases for {info.fullname} {bases}" lin_bases.append(linearize_hierarchy(base, obj_type)) lin_bases.append(bases) return [info] + merge(lin_bases) def merge(seqs: list[list[TypeInfo]]) -> list[TypeInfo]: seqs = [s.copy() for s in seqs] result: list[TypeInfo] = [] while True: seqs = [s for s in seqs if s] if not seqs: return result for seq in seqs: head = seq[0] if not [s for s in seqs if head in s[1:]]: break else: raise MroError() result.append(head) for s in seqs: if s[0] is head: del s[0] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/nodes.py0000644000175100017510000051247215112307767014752 0ustar00runnerrunner"""Abstract syntax tree node classes (i.e. parse tree).""" from __future__ import annotations import os from abc import abstractmethod from collections import defaultdict from collections.abc import Iterator, Sequence from enum import Enum, unique from typing import TYPE_CHECKING, Any, Callable, Final, Optional, TypeVar, Union, cast from typing_extensions import TypeAlias as _TypeAlias, TypeGuard from librt.internal import ( read_float as read_float_bare, read_int as read_int_bare, read_str as read_str_bare, write_int as write_int_bare, write_str as write_str_bare, ) from mypy_extensions import trait import mypy.strconv from mypy.cache import ( DICT_STR_GEN, DT_SPEC, END_TAG, LIST_GEN, LIST_STR, LITERAL_COMPLEX, LITERAL_NONE, ReadBuffer, Tag, WriteBuffer, read_bool, read_int, read_int_list, read_int_opt, read_json, read_literal, read_str, read_str_list, read_str_opt, read_str_opt_list, read_tag, write_bool, write_int, write_int_list, write_int_opt, write_json, write_literal, write_str, write_str_list, write_str_opt, write_str_opt_list, write_tag, ) from mypy.options import Options from mypy.util import is_sunder, is_typeshed_file, short_type from mypy.visitor import ExpressionVisitor, NodeVisitor, StatementVisitor if TYPE_CHECKING: from mypy.patterns import Pattern @unique class NotParsed(Enum): VALUE = "NotParsed" class Context: """Base type for objects that are valid as error message locations.""" __slots__ = ("line", "column", "end_line", "end_column") def __init__(self, line: int = -1, column: int = -1) -> None: self.line = line self.column = column self.end_line: int | None = None self.end_column: int | None = None def set_line( self, target: Context | int, column: int | None = None, end_line: int | None = None, end_column: int | None = None, ) -> None: """If target is a node, pull line (and column) information into this node. If column is specified, this will override any column information coming from a node. """ if isinstance(target, int): self.line = target else: self.line = target.line self.column = target.column self.end_line = target.end_line self.end_column = target.end_column if column is not None: self.column = column if end_line is not None: self.end_line = end_line if end_column is not None: self.end_column = end_column if TYPE_CHECKING: # break import cycle only needed for mypy import mypy.types T = TypeVar("T") JsonDict: _TypeAlias = dict[str, Any] # Symbol table node kinds # # TODO rename to use more descriptive names LDEF: Final = 0 GDEF: Final = 1 MDEF: Final = 2 # Placeholder for a name imported via 'from ... import'. Second phase of # semantic will replace this the actual imported reference. This is # needed so that we can detect whether a name has been imported during # XXX what? UNBOUND_IMPORTED: Final = 3 # RevealExpr node kinds REVEAL_TYPE: Final = 0 REVEAL_LOCALS: Final = 1 # Kinds of 'literal' expressions. # # Use the function mypy.literals.literal to calculate these. # # TODO: Can we make these less confusing? LITERAL_YES: Final = 2 # Value of expression known statically LITERAL_TYPE: Final = 1 # Type of expression can be narrowed (e.g. variable reference) LITERAL_NO: Final = 0 # None of the above node_kinds: Final = {LDEF: "Ldef", GDEF: "Gdef", MDEF: "Mdef", UNBOUND_IMPORTED: "UnboundImported"} inverse_node_kinds: Final = {_kind: _name for _name, _kind in node_kinds.items()} implicit_module_attrs: Final = { "__name__": "__builtins__.str", "__doc__": None, # depends on Python version, see semanal.py "__path__": None, # depends on if the module is a package "__file__": "__builtins__.str", "__package__": "__builtins__.str", "__annotations__": None, # dict[str, Any] bounded in add_implicit_module_attrs() "__spec__": None, # importlib.machinery.ModuleSpec bounded in add_implicit_module_attrs() } # These aliases exist because built-in class objects are not subscriptable. # For example `list[int]` fails at runtime. Instead List[int] should be used. type_aliases: Final = { "typing.List": "builtins.list", "typing.Dict": "builtins.dict", "typing.Set": "builtins.set", "typing.FrozenSet": "builtins.frozenset", "typing.ChainMap": "collections.ChainMap", "typing.Counter": "collections.Counter", "typing.DefaultDict": "collections.defaultdict", "typing.Deque": "collections.deque", "typing.OrderedDict": "collections.OrderedDict", # HACK: a lie in lieu of actual support for PEP 675 "typing.LiteralString": "builtins.str", } # This keeps track of the oldest supported Python version where the corresponding # alias source is available. type_aliases_source_versions: Final = {"typing.LiteralString": (3, 11)} # This keeps track of aliases in `typing_extensions`, which we treat specially. typing_extensions_aliases: Final = { # See: https://github.com/python/mypy/issues/11528 "typing_extensions.OrderedDict": "collections.OrderedDict", # HACK: a lie in lieu of actual support for PEP 675 "typing_extensions.LiteralString": "builtins.str", } reverse_builtin_aliases: Final = { "builtins.list": "typing.List", "builtins.dict": "typing.Dict", "builtins.set": "typing.Set", "builtins.frozenset": "typing.FrozenSet", } RUNTIME_PROTOCOL_DECOS: Final = ( "typing.runtime_checkable", "typing_extensions.runtime", "typing_extensions.runtime_checkable", ) LAMBDA_NAME: Final = "" class Node(Context): """Common base class for all non-type parse tree nodes.""" __slots__ = () def __str__(self) -> str: return self.accept(mypy.strconv.StrConv(options=Options())) def str_with_options(self, options: Options) -> str: a = self.accept(mypy.strconv.StrConv(options=options)) assert a return a def accept(self, visitor: NodeVisitor[T]) -> T: raise RuntimeError("Not implemented", type(self)) @trait class Statement(Node): """A statement node.""" __slots__ = () def accept(self, visitor: StatementVisitor[T]) -> T: raise RuntimeError("Not implemented", type(self)) @trait class Expression(Node): """An expression node.""" __slots__ = () def accept(self, visitor: ExpressionVisitor[T]) -> T: raise RuntimeError("Not implemented", type(self)) class FakeExpression(Expression): """A dummy expression. We need a dummy expression in one place, and can't instantiate Expression because it is a trait and mypyc barfs. """ __slots__ = () # TODO: # Lvalue = Union['NameExpr', 'MemberExpr', 'IndexExpr', 'SuperExpr', 'StarExpr' # 'TupleExpr']; see #1783. Lvalue: _TypeAlias = Expression @trait class SymbolNode(Node): """Nodes that can be stored in a symbol table.""" __slots__ = () @property @abstractmethod def name(self) -> str: pass # Fully qualified name @property @abstractmethod def fullname(self) -> str: pass @abstractmethod def serialize(self) -> JsonDict: pass @classmethod def deserialize(cls, data: JsonDict) -> SymbolNode: classname = data[".class"] method = deserialize_map.get(classname) if method is not None: return method(data) raise NotImplementedError(f"unexpected .class {classname}") def write(self, data: WriteBuffer) -> None: raise NotImplementedError(f"Cannot serialize {self.__class__.__name__} instance") @classmethod def read(cls, data: ReadBuffer) -> SymbolNode: raise NotImplementedError(f"Cannot deserialize {cls.__name__} instance") # Items: fullname, related symbol table node, surrounding type (if any) Definition: _TypeAlias = tuple[str, "SymbolTableNode", Optional["TypeInfo"]] class MypyFile(SymbolNode): """The abstract syntax tree of a single source file.""" __slots__ = ( "_fullname", "path", "defs", "alias_deps", "module_refs", "is_bom", "names", "imports", "ignored_lines", "skipped_lines", "is_stub", "is_cache_skeleton", "is_partial_stub_package", "plugin_deps", "future_import_flags", "_is_typeshed_file", ) __match_args__ = ("name", "path", "defs") # Fully qualified module name _fullname: str # Path to the file (empty string if not known) path: str # Top-level definitions and statements defs: list[Statement] # Type alias dependencies as mapping from target to set of alias full names alias_deps: defaultdict[str, set[str]] # The set of all dependencies (suppressed or not) that this module accesses, either # directly or indirectly. module_refs: set[str] # Is there a UTF-8 BOM at the start? is_bom: bool names: SymbolTable # All import nodes within the file (also ones within functions etc.) imports: list[ImportBase] # Lines on which to ignore certain errors when checking. # If the value is empty, ignore all errors; otherwise, the list contains all # error codes to ignore. ignored_lines: dict[int, list[str]] # Lines that were skipped during semantic analysis e.g. due to ALWAYS_FALSE, MYPY_FALSE, # or platform/version checks. Those lines would not be type-checked. skipped_lines: set[int] # Is this file represented by a stub file (.pyi)? is_stub: bool # Is this loaded from the cache and thus missing the actual body of the file? is_cache_skeleton: bool # Does this represent an __init__.pyi stub with a module __getattr__ # (i.e. a partial stub package), for such packages we suppress any missing # module errors in addition to missing attribute errors. is_partial_stub_package: bool # Plugin-created dependencies plugin_deps: dict[str, set[str]] # Future imports defined in this file. Populated during semantic analysis. future_import_flags: set[str] _is_typeshed_file: bool | None def __init__( self, defs: list[Statement], imports: list[ImportBase], is_bom: bool = False, ignored_lines: dict[int, list[str]] | None = None, ) -> None: super().__init__() self.defs = defs self.line = 1 # Dummy line number self.column = 0 # Dummy column self.imports = imports self.is_bom = is_bom self.alias_deps = defaultdict(set) self.module_refs = set() self.plugin_deps = {} if ignored_lines: self.ignored_lines = ignored_lines else: self.ignored_lines = {} self.skipped_lines = set() self.path = "" self.is_stub = False self.is_cache_skeleton = False self.is_partial_stub_package = False self.future_import_flags = set() self._is_typeshed_file = None def local_definitions(self) -> Iterator[Definition]: """Return all definitions within the module (including nested). This doesn't include imported definitions. """ return local_definitions(self.names, self.fullname) @property def name(self) -> str: return "" if not self._fullname else self._fullname.split(".")[-1] @property def fullname(self) -> str: return self._fullname def accept(self, visitor: NodeVisitor[T]) -> T: return visitor.visit_mypy_file(self) def is_package_init_file(self) -> bool: return len(self.path) != 0 and os.path.basename(self.path).startswith("__init__.") def is_future_flag_set(self, flag: str) -> bool: return flag in self.future_import_flags def is_typeshed_file(self, options: Options) -> bool: # Cache result since this is called a lot if self._is_typeshed_file is None: self._is_typeshed_file = is_typeshed_file(options.abs_custom_typeshed_dir, self.path) return self._is_typeshed_file def serialize(self) -> JsonDict: return { ".class": "MypyFile", "_fullname": self._fullname, "names": self.names.serialize(self._fullname), "is_stub": self.is_stub, "path": self.path, "is_partial_stub_package": self.is_partial_stub_package, "future_import_flags": sorted(self.future_import_flags), } @classmethod def deserialize(cls, data: JsonDict) -> MypyFile: assert data[".class"] == "MypyFile", data tree = MypyFile([], []) tree._fullname = data["_fullname"] tree.names = SymbolTable.deserialize(data["names"]) tree.is_stub = data["is_stub"] tree.path = data["path"] tree.is_partial_stub_package = data["is_partial_stub_package"] tree.is_cache_skeleton = True tree.future_import_flags = set(data["future_import_flags"]) return tree def write(self, data: WriteBuffer) -> None: write_tag(data, MYPY_FILE) write_str(data, self._fullname) self.names.write(data, self._fullname) write_bool(data, self.is_stub) write_str(data, self.path) write_bool(data, self.is_partial_stub_package) write_str_list(data, sorted(self.future_import_flags)) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> MypyFile: assert read_tag(data) == MYPY_FILE tree = MypyFile([], []) tree._fullname = read_str(data) tree.names = SymbolTable.read(data) tree.is_stub = read_bool(data) tree.path = read_str(data) tree.is_partial_stub_package = read_bool(data) tree.future_import_flags = set(read_str_list(data)) tree.is_cache_skeleton = True assert read_tag(data) == END_TAG return tree class ImportBase(Statement): """Base class for all import statements.""" __slots__ = ("is_unreachable", "is_top_level", "is_mypy_only", "assignments") is_unreachable: bool # Set by semanal.SemanticAnalyzerPass1 if inside `if False` etc. is_top_level: bool # Ditto if outside any class or def is_mypy_only: bool # Ditto if inside `if TYPE_CHECKING` or `if MYPY` # If an import replaces existing definitions, we construct dummy assignment # statements that assign the imported names to the names in the current scope, # for type checking purposes. Example: # # x = 1 # from m import x <-- add assignment representing "x = m.x" assignments: list[AssignmentStmt] def __init__(self) -> None: super().__init__() self.assignments = [] self.is_unreachable = False self.is_top_level = False self.is_mypy_only = False class Import(ImportBase): """import m [as n]""" __slots__ = ("ids",) __match_args__ = ("ids",) ids: list[tuple[str, str | None]] # (module id, as id) def __init__(self, ids: list[tuple[str, str | None]]) -> None: super().__init__() self.ids = ids def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_import(self) class ImportFrom(ImportBase): """from m import x [as y], ...""" __slots__ = ("id", "names", "relative") __match_args__ = ("id", "names", "relative") id: str relative: int names: list[tuple[str, str | None]] # Tuples (name, as name) def __init__(self, id: str, relative: int, names: list[tuple[str, str | None]]) -> None: super().__init__() self.id = id self.names = names self.relative = relative def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_import_from(self) class ImportAll(ImportBase): """from m import *""" __slots__ = ("id", "relative") __match_args__ = ("id", "relative") id: str relative: int def __init__(self, id: str, relative: int) -> None: super().__init__() self.id = id self.relative = relative def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_import_all(self) FUNCBASE_FLAGS: Final = ["is_property", "is_class", "is_static", "is_final"] class FuncBase(Node): """Abstract base class for function-like nodes. N.B: Although this has SymbolNode subclasses (FuncDef, OverloadedFuncDef), avoid calling isinstance(..., FuncBase) on something that is typed as SymbolNode. This is to work around mypy bug #3603, in which mypy doesn't understand multiple inheritance very well, and will assume that a SymbolNode cannot be a FuncBase. Instead, test against SYMBOL_FUNCBASE_TYPES, which enumerates SymbolNode subclasses that are also FuncBase subclasses. """ __slots__ = ( "type", "unanalyzed_type", "info", "is_property", "is_class", # Uses "@classmethod" (explicit or implicit) "is_static", # Uses "@staticmethod" (explicit or implicit) "is_final", # Uses "@final" "is_explicit_override", # Uses "@override" "is_type_check_only", # Uses "@type_check_only" "_fullname", ) def __init__(self) -> None: super().__init__() # Type signature. This is usually CallableType or Overloaded, but it can be # something else for decorated functions. self.type: mypy.types.ProperType | None = None # Original, not semantically analyzed type (used for reprocessing) self.unanalyzed_type: mypy.types.ProperType | None = None # If method, reference to TypeInfo self.info = FUNC_NO_INFO self.is_property = False self.is_class = False # Is this a `@staticmethod` (explicit or implicit)? # Note: use has_self_or_cls_argument to check if there is `self` or `cls` argument self.is_static = False self.is_final = False self.is_explicit_override = False self.is_type_check_only = False # Name with module prefix self._fullname = "" @property @abstractmethod def name(self) -> str: pass @property def fullname(self) -> str: return self._fullname @property def has_self_or_cls_argument(self) -> bool: """If used as a method, does it have an argument for method binding (`self`, `cls`)? This is true for `__new__` even though `__new__` does not undergo method binding, because we still usually assume that `cls` corresponds to the enclosing class. """ return not self.is_static or self.name == "__new__" OverloadPart: _TypeAlias = Union["FuncDef", "Decorator"] class OverloadedFuncDef(FuncBase, SymbolNode, Statement): """A logical node representing all the variants of a multi-declaration function. A multi-declaration function is often an @overload, but can also be a @property with a setter and a/or a deleter. This node has no explicit representation in the source program. Overloaded variants must be consecutive in the source file. """ __slots__ = ( "items", "unanalyzed_items", "impl", "deprecated", "setter_index", "_is_trivial_self", ) items: list[OverloadPart] unanalyzed_items: list[OverloadPart] impl: OverloadPart | None deprecated: str | None setter_index: int | None def __init__(self, items: list[OverloadPart]) -> None: super().__init__() self.items = items self.unanalyzed_items = items.copy() self.impl = None self.deprecated = None self.setter_index = None self._is_trivial_self: bool | None = None if items: # TODO: figure out how to reliably set end position (we don't know the impl here). self.set_line(items[0].line, items[0].column) @property def name(self) -> str: if self.items: return self.items[0].name else: # This may happen for malformed overload assert self.impl is not None return self.impl.name @property def is_trivial_self(self) -> bool: """Check we can use bind_self() fast path for this overload. This will return False if at least one overload: * Has an explicit self annotation, or Self in signature. * Has a non-trivial decorator. """ if self._is_trivial_self is not None: return self._is_trivial_self for i, item in enumerate(self.items): # Note: bare @property is removed in visit_decorator(). trivial = 1 if i > 0 or not self.is_property else 0 if isinstance(item, FuncDef): if not item.is_trivial_self: self._is_trivial_self = False return False elif len(item.decorators) > trivial or not item.func.is_trivial_self: self._is_trivial_self = False return False self._is_trivial_self = True return True @property def setter(self) -> Decorator: # Do some consistency checks first. first_item = self.items[0] assert isinstance(first_item, Decorator) assert first_item.var.is_settable_property assert self.setter_index is not None item = self.items[self.setter_index] assert isinstance(item, Decorator) return item def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_overloaded_func_def(self) def serialize(self) -> JsonDict: return { ".class": "OverloadedFuncDef", "items": [i.serialize() for i in self.items], "type": None if self.type is None else self.type.serialize(), "fullname": self._fullname, "impl": None if self.impl is None else self.impl.serialize(), "flags": get_flags(self, FUNCBASE_FLAGS), "deprecated": self.deprecated, "setter_index": self.setter_index, } @classmethod def deserialize(cls, data: JsonDict) -> OverloadedFuncDef: assert data[".class"] == "OverloadedFuncDef" res = OverloadedFuncDef( [cast(OverloadPart, SymbolNode.deserialize(d)) for d in data["items"]] ) if data.get("impl") is not None: res.impl = cast(OverloadPart, SymbolNode.deserialize(data["impl"])) # set line for empty overload items, as not set in __init__ if len(res.items) > 0: res.set_line(res.impl.line) if data.get("type") is not None: typ = mypy.types.deserialize_type(data["type"]) assert isinstance(typ, mypy.types.ProperType) res.type = typ res._fullname = data["fullname"] set_flags(res, data["flags"]) res.deprecated = data["deprecated"] res.setter_index = data["setter_index"] # NOTE: res.info will be set in the fixup phase. return res def write(self, data: WriteBuffer) -> None: write_tag(data, OVERLOADED_FUNC_DEF) write_tag(data, LIST_GEN) write_int_bare(data, len(self.items)) for item in self.items: item.write(data) mypy.types.write_type_opt(data, self.type) write_str(data, self._fullname) if self.impl is None: write_tag(data, LITERAL_NONE) else: self.impl.write(data) write_flags(data, self, FUNCBASE_FLAGS) write_str_opt(data, self.deprecated) write_int_opt(data, self.setter_index) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> OverloadedFuncDef: assert read_tag(data) == LIST_GEN res = OverloadedFuncDef([read_overload_part(data) for _ in range(read_int_bare(data))]) typ = mypy.types.read_type_opt(data) if typ is not None: assert isinstance(typ, mypy.types.ProperType) res.type = typ res._fullname = read_str(data) tag = read_tag(data) if tag != LITERAL_NONE: res.impl = read_overload_part(data, tag) # set line for empty overload items, as not set in __init__ if len(res.items) > 0: res.set_line(res.impl.line) read_flags(data, res, FUNCBASE_FLAGS) res.deprecated = read_str_opt(data) res.setter_index = read_int_opt(data) # NOTE: res.info will be set in the fixup phase. assert read_tag(data) == END_TAG return res def is_dynamic(self) -> bool: return all(item.is_dynamic() for item in self.items) class Argument(Node): """A single argument in a FuncItem.""" __slots__ = ("variable", "type_annotation", "initializer", "kind", "pos_only") __match_args__ = ("variable", "type_annotation", "initializer", "kind", "pos_only") def __init__( self, variable: Var, type_annotation: mypy.types.Type | None, initializer: Expression | None, kind: ArgKind, pos_only: bool = False, ) -> None: super().__init__() self.variable = variable self.type_annotation = type_annotation self.initializer = initializer self.kind = kind # must be an ARG_* constant self.pos_only = pos_only def set_line( self, target: Context | int, column: int | None = None, end_line: int | None = None, end_column: int | None = None, ) -> None: super().set_line(target, column, end_line, end_column) if self.initializer and self.initializer.line < 0: self.initializer.set_line(self.line, self.column, self.end_line, self.end_column) self.variable.set_line(self.line, self.column, self.end_line, self.end_column) # These specify the kind of a TypeParam TYPE_VAR_KIND: Final = 0 PARAM_SPEC_KIND: Final = 1 TYPE_VAR_TUPLE_KIND: Final = 2 class TypeParam: __slots__ = ("name", "kind", "upper_bound", "values", "default") def __init__( self, name: str, kind: int, upper_bound: mypy.types.Type | None, values: list[mypy.types.Type], default: mypy.types.Type | None, ) -> None: self.name = name self.kind = kind self.upper_bound = upper_bound self.values = values self.default = default FUNCITEM_FLAGS: Final = FUNCBASE_FLAGS + [ "is_overload", "is_generator", "is_coroutine", "is_async_generator", "is_awaitable_coroutine", ] class FuncItem(FuncBase): """Base class for nodes usable as overloaded function items.""" __slots__ = ( "arguments", # Note that can be unset if deserialized (type is a lie!) "arg_names", # Names of arguments "arg_kinds", # Kinds of arguments "min_args", # Minimum number of arguments "max_pos", # Maximum number of positional arguments, -1 if no explicit # limit (*args not included) "type_args", # New-style type parameters (PEP 695) "body", # Body of the function "is_overload", # Is this an overload variant of function with more than # one overload variant? "is_generator", # Contains a yield statement? "is_coroutine", # Defined using 'async def' syntax? "is_async_generator", # Is an async def generator? "is_awaitable_coroutine", # Decorated with '@{typing,asyncio}.coroutine'? "expanded", # Variants of function with type variables with values expanded ) __deletable__ = ("arguments", "max_pos", "min_args") def __init__( self, arguments: list[Argument] | None = None, body: Block | None = None, typ: mypy.types.FunctionLike | None = None, type_args: list[TypeParam] | None = None, ) -> None: super().__init__() self.arguments = arguments or [] self.arg_names = [None if arg.pos_only else arg.variable.name for arg in self.arguments] self.arg_kinds: list[ArgKind] = [arg.kind for arg in self.arguments] self.max_pos: int = self.arg_kinds.count(ARG_POS) + self.arg_kinds.count(ARG_OPT) self.type_args: list[TypeParam] | None = type_args self.body: Block = body or Block([]) self.type = typ self.unanalyzed_type = typ self.is_overload: bool = False self.is_generator: bool = False self.is_coroutine: bool = False self.is_async_generator: bool = False self.is_awaitable_coroutine: bool = False self.expanded: list[FuncItem] = [] self.min_args = 0 for i in range(len(self.arguments)): if self.arguments[i] is None and i < self.max_fixed_argc(): self.min_args = i + 1 def max_fixed_argc(self) -> int: return self.max_pos def is_dynamic(self) -> bool: return self.type is None FUNCDEF_FLAGS: Final = FUNCITEM_FLAGS + [ "is_decorated", "is_conditional", "is_trivial_body", "is_trivial_self", "is_mypy_only", ] # Abstract status of a function NOT_ABSTRACT: Final = 0 # Explicitly abstract (with @abstractmethod or overload without implementation) IS_ABSTRACT: Final = 1 # Implicitly abstract: used for functions with trivial bodies defined in Protocols IMPLICITLY_ABSTRACT: Final = 2 class FuncDef(FuncItem, SymbolNode, Statement): """Function definition. This is a non-lambda function defined using 'def'. """ __slots__ = ( "_name", "is_decorated", "is_conditional", "abstract_status", "original_def", "is_trivial_body", "is_trivial_self", "has_self_attr_def", "is_mypy_only", # Present only when a function is decorated with @typing.dataclass_transform or similar "dataclass_transform_spec", "docstring", "deprecated", "original_first_arg", ) __match_args__ = ("name", "arguments", "type", "body") # Note that all __init__ args must have default values def __init__( self, name: str = "", # Function name arguments: list[Argument] | None = None, body: Block | None = None, typ: mypy.types.FunctionLike | None = None, type_args: list[TypeParam] | None = None, ) -> None: super().__init__(arguments, body, typ, type_args) self._name = name self.is_decorated = False self.is_conditional = False # Defined conditionally (within block)? self.abstract_status = NOT_ABSTRACT # Is this an abstract method with trivial body? # Such methods can't be called via super(). self.is_trivial_body = False # Original conditional definition self.original_def: None | FuncDef | Var | Decorator = None # Definitions that appear in if TYPE_CHECKING are marked with this flag. self.is_mypy_only = False self.dataclass_transform_spec: DataclassTransformSpec | None = None self.docstring: str | None = None self.deprecated: str | None = None # This is used to simplify bind_self() logic in trivial cases (which are # the majority). In cases where self is not annotated and there are no Self # in the signature we can simply drop the first argument. self.is_trivial_self = False # Keep track of functions where self attributes are defined. self.has_self_attr_def = False # This is needed because for positional-only arguments the name is set to None, # but we sometimes still want to show it in error messages. if arguments: self.original_first_arg: str | None = arguments[0].variable.name else: self.original_first_arg = None @property def name(self) -> str: return self._name def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_func_def(self) def serialize(self) -> JsonDict: # We're deliberating omitting arguments and storing only arg_names and # arg_kinds for space-saving reasons (arguments is not used in later # stages of mypy). # TODO: After a FuncDef is deserialized, the only time we use `arg_names` # and `arg_kinds` is when `type` is None and we need to infer a type. Can # we store the inferred type ahead of time? return { ".class": "FuncDef", "name": self._name, "fullname": self._fullname, "arg_names": self.arg_names, "arg_kinds": [int(x.value) for x in self.arg_kinds], "type": None if self.type is None else self.type.serialize(), "flags": get_flags(self, FUNCDEF_FLAGS), "abstract_status": self.abstract_status, # TODO: Do we need expanded, original_def? "dataclass_transform_spec": ( None if self.dataclass_transform_spec is None else self.dataclass_transform_spec.serialize() ), "deprecated": self.deprecated, "original_first_arg": self.original_first_arg, } @classmethod def deserialize(cls, data: JsonDict) -> FuncDef: assert data[".class"] == "FuncDef" body = Block([]) ret = FuncDef( data["name"], [], body, ( None if data["type"] is None else cast(mypy.types.FunctionLike, mypy.types.deserialize_type(data["type"])) ), ) ret._fullname = data["fullname"] set_flags(ret, data["flags"]) # NOTE: ret.info is set in the fixup phase. ret.arg_names = data["arg_names"] ret.original_first_arg = data.get("original_first_arg") ret.arg_kinds = [ARG_KINDS[x] for x in data["arg_kinds"]] ret.abstract_status = data["abstract_status"] ret.dataclass_transform_spec = ( DataclassTransformSpec.deserialize(data["dataclass_transform_spec"]) if data["dataclass_transform_spec"] is not None else None ) ret.deprecated = data["deprecated"] # Leave these uninitialized so that future uses will trigger an error del ret.arguments del ret.max_pos del ret.min_args return ret def write(self, data: WriteBuffer) -> None: write_tag(data, FUNC_DEF) write_str(data, self._name) mypy.types.write_type_opt(data, self.type) write_str(data, self._fullname) write_flags(data, self, FUNCDEF_FLAGS) write_str_opt_list(data, self.arg_names) write_int_list(data, [int(ak.value) for ak in self.arg_kinds]) write_int(data, self.abstract_status) if self.dataclass_transform_spec is None: write_tag(data, LITERAL_NONE) else: self.dataclass_transform_spec.write(data) write_str_opt(data, self.deprecated) write_str_opt(data, self.original_first_arg) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> FuncDef: name = read_str(data) typ: mypy.types.FunctionLike | None = None tag = read_tag(data) if tag != LITERAL_NONE: typ = mypy.types.read_function_like(data, tag) ret = FuncDef(name, [], Block([]), typ) ret._fullname = read_str(data) read_flags(data, ret, FUNCDEF_FLAGS) # NOTE: ret.info is set in the fixup phase. ret.arg_names = read_str_opt_list(data) ret.arg_kinds = [ARG_KINDS[ak] for ak in read_int_list(data)] ret.abstract_status = read_int(data) tag = read_tag(data) if tag != LITERAL_NONE: assert tag == DT_SPEC ret.dataclass_transform_spec = DataclassTransformSpec.read(data) ret.deprecated = read_str_opt(data) ret.original_first_arg = read_str_opt(data) # Leave these uninitialized so that future uses will trigger an error del ret.arguments del ret.max_pos del ret.min_args assert read_tag(data) == END_TAG return ret # All types that are both SymbolNodes and FuncBases. See the FuncBase # docstring for the rationale. # See https://github.com/python/mypy/pull/13607#issuecomment-1236357236 # TODO: we want to remove this at some point and just use `FuncBase` ideally. SYMBOL_FUNCBASE_TYPES: Final = (OverloadedFuncDef, FuncDef) class Decorator(SymbolNode, Statement): """A decorated function. A single Decorator object can include any number of function decorators. """ __slots__ = ("func", "decorators", "original_decorators", "var", "is_overload") __match_args__ = ("decorators", "var", "func") func: FuncDef # Decorated function decorators: list[Expression] # Decorators (may be empty) # Some decorators are removed by semanal, keep the original here. original_decorators: list[Expression] # TODO: This is mostly used for the type; consider replacing with a 'type' attribute var: Var # Represents the decorated function obj is_overload: bool def __init__(self, func: FuncDef, decorators: list[Expression], var: Var) -> None: super().__init__() self.func = func self.decorators = decorators self.original_decorators = decorators.copy() self.var = var self.is_overload = False @property def name(self) -> str: return self.func.name @property def fullname(self) -> str: return self.func.fullname @property def is_final(self) -> bool: return self.func.is_final @property def info(self) -> TypeInfo: return self.func.info @property def type(self) -> mypy.types.Type | None: return self.var.type def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_decorator(self) def serialize(self) -> JsonDict: return { ".class": "Decorator", "func": self.func.serialize(), "var": self.var.serialize(), "is_overload": self.is_overload, } @classmethod def deserialize(cls, data: JsonDict) -> Decorator: assert data[".class"] == "Decorator" dec = Decorator(FuncDef.deserialize(data["func"]), [], Var.deserialize(data["var"])) dec.is_overload = data["is_overload"] return dec def write(self, data: WriteBuffer) -> None: write_tag(data, DECORATOR) self.func.write(data) self.var.write(data) write_bool(data, self.is_overload) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> Decorator: assert read_tag(data) == FUNC_DEF func = FuncDef.read(data) assert read_tag(data) == VAR var = Var.read(data) dec = Decorator(func, [], var) dec.is_overload = read_bool(data) assert read_tag(data) == END_TAG return dec def is_dynamic(self) -> bool: return self.func.is_dynamic() VAR_FLAGS: Final = [ "is_self", "is_cls", "is_initialized_in_class", "is_staticmethod", "is_classmethod", "is_property", "is_settable_property", "is_suppressed_import", "is_classvar", "is_abstract_var", "is_final", "is_index_var", "final_unset_in_class", "final_set_in_init", "explicit_self_type", "is_ready", "is_inferred", "invalid_partial_type", "from_module_getattr", "has_explicit_value", "allow_incompatible_override", ] class Var(SymbolNode): """A variable. It can refer to global/local variable or a data attribute. """ __slots__ = ( "_name", "_fullname", "info", "type", "setter_type", "final_value", "is_self", "is_cls", "is_ready", "is_inferred", "is_initialized_in_class", "is_staticmethod", "is_classmethod", "is_property", "is_settable_property", "is_classvar", "is_abstract_var", "is_final", "is_index_var", "final_unset_in_class", "final_set_in_init", "is_suppressed_import", "explicit_self_type", "from_module_getattr", "has_explicit_value", "allow_incompatible_override", "invalid_partial_type", ) __match_args__ = ("name", "type", "final_value") def __init__(self, name: str, type: mypy.types.Type | None = None) -> None: super().__init__() self._name = name # Name without module prefix # TODO: Should be Optional[str] self._fullname = "" # Name with module prefix # TODO: Should be Optional[TypeInfo] self.info = VAR_NO_INFO self.type: mypy.types.Type | None = type # Declared or inferred type, or None # The setter type for settable properties. self.setter_type: mypy.types.CallableType | None = None # Is this the first argument to an ordinary method (usually "self")? self.is_self = False # Is this the first argument to a classmethod (typically "cls")? self.is_cls = False self.is_ready = True # If inferred, is the inferred type available? self.is_inferred = self.type is None # Is this initialized explicitly to a non-None value in class body? self.is_initialized_in_class = False self.is_staticmethod = False self.is_classmethod = False self.is_property = False self.is_settable_property = False self.is_classvar = False self.is_abstract_var = False self.is_index_var = False # Set to true when this variable refers to a module we were unable to # parse for some reason (eg a silenced module) self.is_suppressed_import = False # Was this "variable" (rather a constant) defined as Final[...]? self.is_final = False # If constant value is a simple literal, # store the literal value (unboxed) for the benefit of # tools like mypyc. self.final_value: int | float | complex | bool | str | None = None # Where the value was set (only for class attributes) self.final_unset_in_class = False self.final_set_in_init = False # This is True for a variable that was declared on self with an explicit type: # class C: # def __init__(self) -> None: # self.x: int # This case is important because this defines a new Var, even if there is one # present in a superclass (without explicit type this doesn't create a new Var). # See SemanticAnalyzer.analyze_member_lvalue() for details. self.explicit_self_type = False # If True, this is an implicit Var created due to module-level __getattr__. self.from_module_getattr = False # Var can be created with an explicit value `a = 1` or without one `a: int`, # we need a way to tell which one is which. self.has_explicit_value = False # If True, subclasses can override this with an incompatible type. self.allow_incompatible_override = False # If True, this means we didn't manage to infer full type and fall back to # something like list[Any]. We may decide to not use such types as context. self.invalid_partial_type = False @property def name(self) -> str: return self._name @property def fullname(self) -> str: return self._fullname def __repr__(self) -> str: name = self.fullname or self.name return f"" def accept(self, visitor: NodeVisitor[T]) -> T: return visitor.visit_var(self) def serialize(self) -> JsonDict: # TODO: Leave default values out? # NOTE: Sometimes self.is_ready is False here, but we don't care. data: JsonDict = { ".class": "Var", "name": self._name, "fullname": self._fullname, "type": None if self.type is None else self.type.serialize(), "setter_type": None if self.setter_type is None else self.setter_type.serialize(), "flags": get_flags(self, VAR_FLAGS), } if self.final_value is not None: data["final_value"] = self.final_value return data @classmethod def deserialize(cls, data: JsonDict) -> Var: assert data[".class"] == "Var" name = data["name"] type = None if data["type"] is None else mypy.types.deserialize_type(data["type"]) setter_type = ( None if data["setter_type"] is None else mypy.types.deserialize_type(data["setter_type"]) ) v = Var(name, type) assert ( setter_type is None or isinstance(setter_type, mypy.types.ProperType) and isinstance(setter_type, mypy.types.CallableType) ) v.setter_type = setter_type v.is_ready = False # Override True default set in __init__ v._fullname = data["fullname"] set_flags(v, data["flags"]) v.final_value = data.get("final_value") return v def write(self, data: WriteBuffer) -> None: write_tag(data, VAR) write_str(data, self._name) mypy.types.write_type_opt(data, self.type) mypy.types.write_type_opt(data, self.setter_type) write_str(data, self._fullname) write_flags(data, self, VAR_FLAGS) write_literal(data, self.final_value) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> Var: name = read_str(data) typ = mypy.types.read_type_opt(data) v = Var(name, typ) setter_type: mypy.types.CallableType | None = None tag = read_tag(data) if tag != LITERAL_NONE: assert tag == mypy.types.CALLABLE_TYPE setter_type = mypy.types.CallableType.read(data) v.setter_type = setter_type v.is_ready = False # Override True default set in __init__ v._fullname = read_str(data) read_flags(data, v, VAR_FLAGS) tag = read_tag(data) if tag == LITERAL_COMPLEX: v.final_value = complex(read_float_bare(data), read_float_bare(data)) elif tag != LITERAL_NONE: v.final_value = read_literal(data, tag) assert read_tag(data) == END_TAG return v class ClassDef(Statement): """Class definition""" __slots__ = ( "name", "_fullname", "defs", "type_args", "type_vars", "base_type_exprs", "removed_base_type_exprs", "info", "metaclass", "decorators", "keywords", "analyzed", "has_incompatible_baseclass", "docstring", "removed_statements", ) __match_args__ = ("name", "defs") name: str # Name of the class without module prefix _fullname: str # Fully qualified name of the class defs: Block # New-style type parameters (PEP 695), unanalyzed type_args: list[TypeParam] | None # Semantically analyzed type parameters (all syntax variants) type_vars: list[mypy.types.TypeVarLikeType] # Base class expressions (not semantically analyzed -- can be arbitrary expressions) base_type_exprs: list[Expression] # Special base classes like Generic[...] get moved here during semantic analysis removed_base_type_exprs: list[Expression] info: TypeInfo # Related TypeInfo metaclass: Expression | None decorators: list[Expression] keywords: dict[str, Expression] analyzed: Expression | None has_incompatible_baseclass: bool # Used by special forms like NamedTuple and TypedDict to store invalid statements removed_statements: list[Statement] def __init__( self, name: str, defs: Block, type_vars: list[mypy.types.TypeVarLikeType] | None = None, base_type_exprs: list[Expression] | None = None, metaclass: Expression | None = None, keywords: list[tuple[str, Expression]] | None = None, type_args: list[TypeParam] | None = None, ) -> None: super().__init__() self.name = name self._fullname = "" self.defs = defs self.type_vars = type_vars or [] self.type_args = type_args self.base_type_exprs = base_type_exprs or [] self.removed_base_type_exprs = [] self.info = CLASSDEF_NO_INFO self.metaclass = metaclass self.decorators = [] self.keywords = dict(keywords) if keywords else {} self.analyzed = None self.has_incompatible_baseclass = False self.docstring: str | None = None self.removed_statements = [] @property def fullname(self) -> str: return self._fullname @fullname.setter def fullname(self, v: str) -> None: self._fullname = v def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_class_def(self) def is_generic(self) -> bool: return self.info.is_generic() def serialize(self) -> JsonDict: # Not serialized: defs, base_type_exprs, metaclass, decorators, # analyzed (for named tuples etc.) return { ".class": "ClassDef", "name": self.name, "fullname": self.fullname, "type_vars": [v.serialize() for v in self.type_vars], } @classmethod def deserialize(cls, data: JsonDict) -> ClassDef: assert data[".class"] == "ClassDef" res = ClassDef( data["name"], Block([]), # https://github.com/python/mypy/issues/12257 [ cast(mypy.types.TypeVarLikeType, mypy.types.deserialize_type(v)) for v in data["type_vars"] ], ) res.fullname = data["fullname"] return res def write(self, data: WriteBuffer) -> None: write_tag(data, CLASS_DEF) write_str(data, self.name) mypy.types.write_type_list(data, self.type_vars) write_str(data, self.fullname) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> ClassDef: res = ClassDef(read_str(data), Block([]), mypy.types.read_type_var_likes(data)) res.fullname = read_str(data) assert read_tag(data) == END_TAG return res class GlobalDecl(Statement): """Declaration global x, y, ...""" __slots__ = ("names",) __match_args__ = ("names",) names: list[str] def __init__(self, names: list[str]) -> None: super().__init__() self.names = names def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_global_decl(self) class NonlocalDecl(Statement): """Declaration nonlocal x, y, ...""" __slots__ = ("names",) __match_args__ = ("names",) names: list[str] def __init__(self, names: list[str]) -> None: super().__init__() self.names = names def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_nonlocal_decl(self) class Block(Statement): __slots__ = ("body", "is_unreachable") __match_args__ = ("body", "is_unreachable") def __init__(self, body: list[Statement], *, is_unreachable: bool = False) -> None: super().__init__() self.body = body # True if we can determine that this block is not executed during semantic # analysis. For example, this applies to blocks that are protected by # something like "if PY3:" when using Python 2. However, some code is # only considered unreachable during type checking and this is not true # in those cases. self.is_unreachable = is_unreachable def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_block(self) # Statements class ExpressionStmt(Statement): """An expression as a statement, such as print(s).""" __slots__ = ("expr",) __match_args__ = ("expr",) expr: Expression def __init__(self, expr: Expression) -> None: super().__init__() self.expr = expr def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_expression_stmt(self) class AssignmentStmt(Statement): """Assignment statement. The same node class is used for single assignment, multiple assignment (e.g. x, y = z) and chained assignment (e.g. x = y = z), assignments that define new names, and assignments with explicit types ("# type: t" or "x: t [= ...]"). An lvalue can be NameExpr, TupleExpr, ListExpr, MemberExpr, or IndexExpr. """ __slots__ = ( "lvalues", "rvalue", "type", "unanalyzed_type", "new_syntax", "is_alias_def", "is_final_def", "invalid_recursive_alias", ) __match_args__ = ("lvalues", "rvalues", "type") lvalues: list[Lvalue] # This is a TempNode if and only if no rvalue (x: t). rvalue: Expression # Declared type in a comment, may be None. type: mypy.types.Type | None # Original, not semantically analyzed type in annotation (used for reprocessing) unanalyzed_type: mypy.types.Type | None # This indicates usage of PEP 526 type annotation syntax in assignment. new_syntax: bool # Does this assignment define a type alias? is_alias_def: bool # Is this a final definition? # Final attributes can't be re-assigned once set, and can't be overridden # in a subclass. This flag is not set if an attempted declaration was found to # be invalid during semantic analysis. It is still set to `True` if # a final declaration overrides another final declaration (this is checked # during type checking when MROs are known). is_final_def: bool # Stop further processing of this assignment, to prevent flipping back and forth # during semantic analysis passes. invalid_recursive_alias: bool def __init__( self, lvalues: list[Lvalue], rvalue: Expression, type: mypy.types.Type | None = None, new_syntax: bool = False, ) -> None: super().__init__() self.lvalues = lvalues self.rvalue = rvalue self.type = type self.unanalyzed_type = type self.new_syntax = new_syntax self.is_alias_def = False self.is_final_def = False self.invalid_recursive_alias = False def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_assignment_stmt(self) class OperatorAssignmentStmt(Statement): """Operator assignment statement such as x += 1""" __slots__ = ("op", "lvalue", "rvalue") __match_args__ = ("lvalue", "op", "rvalue") op: str # TODO: Enum? lvalue: Lvalue rvalue: Expression def __init__(self, op: str, lvalue: Lvalue, rvalue: Expression) -> None: super().__init__() self.op = op self.lvalue = lvalue self.rvalue = rvalue def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_operator_assignment_stmt(self) class WhileStmt(Statement): __slots__ = ("expr", "body", "else_body") __match_args__ = ("expr", "body", "else_body") expr: Expression body: Block else_body: Block | None def __init__(self, expr: Expression, body: Block, else_body: Block | None) -> None: super().__init__() self.expr = expr self.body = body self.else_body = else_body def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_while_stmt(self) class ForStmt(Statement): __slots__ = ( "index", "index_type", "unanalyzed_index_type", "inferred_item_type", "inferred_iterator_type", "expr", "body", "else_body", "is_async", ) __match_args__ = ("index", "index_type", "expr", "body", "else_body") # Index variables index: Lvalue # Type given by type comments for index, can be None index_type: mypy.types.Type | None # Original, not semantically analyzed type in annotation (used for reprocessing) unanalyzed_index_type: mypy.types.Type | None # Inferred iterable item type inferred_item_type: mypy.types.Type | None # Inferred iterator type inferred_iterator_type: mypy.types.Type | None # Expression to iterate expr: Expression body: Block else_body: Block | None is_async: bool # True if `async for ...` (PEP 492, Python 3.5) def __init__( self, index: Lvalue, expr: Expression, body: Block, else_body: Block | None, index_type: mypy.types.Type | None = None, ) -> None: super().__init__() self.index = index self.index_type = index_type self.unanalyzed_index_type = index_type self.inferred_item_type = None self.inferred_iterator_type = None self.expr = expr self.body = body self.else_body = else_body self.is_async = False def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_for_stmt(self) class ReturnStmt(Statement): __slots__ = ("expr",) __match_args__ = ("expr",) expr: Expression | None def __init__(self, expr: Expression | None) -> None: super().__init__() self.expr = expr def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_return_stmt(self) class AssertStmt(Statement): __slots__ = ("expr", "msg") __match_args__ = ("expr", "msg") expr: Expression msg: Expression | None def __init__(self, expr: Expression, msg: Expression | None = None) -> None: super().__init__() self.expr = expr self.msg = msg def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_assert_stmt(self) class DelStmt(Statement): __slots__ = ("expr",) __match_args__ = ("expr",) expr: Lvalue def __init__(self, expr: Lvalue) -> None: super().__init__() self.expr = expr def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_del_stmt(self) class BreakStmt(Statement): __slots__ = () def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_break_stmt(self) class ContinueStmt(Statement): __slots__ = () def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_continue_stmt(self) class PassStmt(Statement): __slots__ = () def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_pass_stmt(self) class IfStmt(Statement): __slots__ = ("expr", "body", "else_body") __match_args__ = ("expr", "body", "else_body") expr: list[Expression] body: list[Block] else_body: Block | None def __init__(self, expr: list[Expression], body: list[Block], else_body: Block | None) -> None: super().__init__() self.expr = expr self.body = body self.else_body = else_body def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_if_stmt(self) class RaiseStmt(Statement): __slots__ = ("expr", "from_expr") __match_args__ = ("expr", "from_expr") # Plain 'raise' is a valid statement. expr: Expression | None from_expr: Expression | None def __init__(self, expr: Expression | None, from_expr: Expression | None) -> None: super().__init__() self.expr = expr self.from_expr = from_expr def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_raise_stmt(self) class TryStmt(Statement): __slots__ = ("body", "types", "vars", "handlers", "else_body", "finally_body", "is_star") __match_args__ = ("body", "types", "vars", "handlers", "else_body", "finally_body", "is_star") body: Block # Try body # Plain 'except:' also possible types: list[Expression | None] # Except type expressions vars: list[NameExpr | None] # Except variable names handlers: list[Block] # Except bodies else_body: Block | None finally_body: Block | None # Whether this is try ... except* (added in Python 3.11) is_star: bool def __init__( self, body: Block, vars: list[NameExpr | None], types: list[Expression | None], handlers: list[Block], else_body: Block | None, finally_body: Block | None, ) -> None: super().__init__() self.body = body self.vars = vars self.types = types self.handlers = handlers self.else_body = else_body self.finally_body = finally_body self.is_star = False def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_try_stmt(self) class WithStmt(Statement): __slots__ = ("expr", "target", "unanalyzed_type", "analyzed_types", "body", "is_async") __match_args__ = ("expr", "target", "body") expr: list[Expression] target: list[Lvalue | None] # Type given by type comments for target, can be None unanalyzed_type: mypy.types.Type | None # Semantically analyzed types from type comment (TypeList type expanded) analyzed_types: list[mypy.types.Type] body: Block is_async: bool # True if `async with ...` (PEP 492, Python 3.5) def __init__( self, expr: list[Expression], target: list[Lvalue | None], body: Block, target_type: mypy.types.Type | None = None, ) -> None: super().__init__() self.expr = expr self.target = target self.unanalyzed_type = target_type self.analyzed_types = [] self.body = body self.is_async = False def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_with_stmt(self) class MatchStmt(Statement): __slots__ = ("subject", "subject_dummy", "patterns", "guards", "bodies") __match_args__ = ("subject", "patterns", "guards", "bodies") subject: Expression subject_dummy: NameExpr | None patterns: list[Pattern] guards: list[Expression | None] bodies: list[Block] def __init__( self, subject: Expression, patterns: list[Pattern], guards: list[Expression | None], bodies: list[Block], ) -> None: super().__init__() assert len(patterns) == len(guards) == len(bodies) self.subject = subject self.subject_dummy = None self.patterns = patterns self.guards = guards self.bodies = bodies def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_match_stmt(self) class TypeAliasStmt(Statement): __slots__ = ("name", "type_args", "value", "invalid_recursive_alias", "alias_node") __match_args__ = ("name", "type_args", "value") name: NameExpr type_args: list[TypeParam] value: LambdaExpr # Return value will get translated into a type invalid_recursive_alias: bool alias_node: TypeAlias | None def __init__(self, name: NameExpr, type_args: list[TypeParam], value: LambdaExpr) -> None: super().__init__() self.name = name self.type_args = type_args self.value = value self.invalid_recursive_alias = False self.alias_node = None def accept(self, visitor: StatementVisitor[T]) -> T: return visitor.visit_type_alias_stmt(self) # Expressions class IntExpr(Expression): """Integer literal""" __slots__ = ("value",) __match_args__ = ("value",) value: int # 0 by default def __init__(self, value: int) -> None: super().__init__() self.value = value def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_int_expr(self) # How mypy uses StrExpr and BytesExpr: # # b'x' -> BytesExpr # 'x', u'x' -> StrExpr class StrExpr(Expression): """String literal""" __slots__ = ("value", "as_type") __match_args__ = ("value",) value: str # '' by default # If this value expression can also be parsed as a valid type expression, # represents the type denoted by the type expression. # None means "is not a type expression". as_type: NotParsed | mypy.types.Type | None def __init__(self, value: str) -> None: super().__init__() self.value = value self.as_type = NotParsed.VALUE def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_str_expr(self) def is_StrExpr_list(seq: list[Expression]) -> TypeGuard[list[StrExpr]]: # noqa: N802 return all(isinstance(item, StrExpr) for item in seq) class BytesExpr(Expression): """Bytes literal""" __slots__ = ("value",) __match_args__ = ("value",) # Note: we deliberately do NOT use bytes here because it ends up # unnecessarily complicating a lot of the result logic. For example, # we'd have to worry about converting the bytes into a format we can # easily serialize/deserialize to and from JSON, would have to worry # about turning the bytes into a human-readable representation in # error messages... # # It's more convenient to just store the human-readable representation # from the very start. value: str def __init__(self, value: str) -> None: super().__init__() self.value = value def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_bytes_expr(self) class FloatExpr(Expression): """Float literal""" __slots__ = ("value",) __match_args__ = ("value",) value: float # 0.0 by default def __init__(self, value: float) -> None: super().__init__() self.value = value def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_float_expr(self) class ComplexExpr(Expression): """Complex literal""" __slots__ = ("value",) __match_args__ = ("value",) value: complex def __init__(self, value: complex) -> None: super().__init__() self.value = value def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_complex_expr(self) class EllipsisExpr(Expression): """Ellipsis (...)""" __slots__ = () def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_ellipsis(self) class StarExpr(Expression): """Star expression""" __slots__ = ("expr", "valid") __match_args__ = ("expr", "valid") expr: Expression valid: bool def __init__(self, expr: Expression) -> None: super().__init__() self.expr = expr # Whether this starred expression is used in a tuple/list and as lvalue self.valid = False def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_star_expr(self) class RefExpr(Expression): """Abstract base class for name-like constructs""" __slots__ = ( "kind", "node", "_fullname", "is_new_def", "is_inferred_def", "is_alias_rvalue", "type_guard", "type_is", ) def __init__(self) -> None: super().__init__() # LDEF/GDEF/MDEF/... (None if not available) self.kind: int | None = None # Var, FuncDef or TypeInfo that describes this self.node: SymbolNode | None = None # Fully qualified name (or name if not global) self._fullname = "" # Does this define a new name? self.is_new_def = False # Does this define a new name with inferred type? # # For members, after semantic analysis, this does not take base # classes into consideration at all; the type checker deals with these. self.is_inferred_def = False # Is this expression appears as an rvalue of a valid type alias definition? self.is_alias_rvalue = False # Cache type guard from callable_type.type_guard self.type_guard: mypy.types.Type | None = None # And same for TypeIs self.type_is: mypy.types.Type | None = None @property def fullname(self) -> str: return self._fullname @fullname.setter def fullname(self, v: str) -> None: self._fullname = v class NameExpr(RefExpr): """Name expression This refers to a local name, global name or a module. """ __slots__ = ("name", "is_special_form") __match_args__ = ("name", "node") def __init__(self, name: str) -> None: super().__init__() self.name = name # Name referred to # Is this a l.h.s. of a special form assignment like typed dict or type variable? self.is_special_form = False def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_name_expr(self) def serialize(self) -> JsonDict: assert False, f"Serializing NameExpr: {self}" class MemberExpr(RefExpr): """Member access expression x.y""" __slots__ = ("expr", "name", "def_var") __match_args__ = ("expr", "name", "node") def __init__(self, expr: Expression, name: str) -> None: super().__init__() self.expr = expr self.name = name # The variable node related to a definition through 'self.x = '. # The nodes of other kinds of member expressions are resolved during type checking. self.def_var: Var | None = None def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_member_expr(self) # Kinds of arguments @unique class ArgKind(Enum): # Positional argument ARG_POS = 0 # Positional, optional argument (functions only, not calls) ARG_OPT = 1 # *arg argument ARG_STAR = 2 # Keyword argument x=y in call, or keyword-only function arg ARG_NAMED = 3 # **arg argument ARG_STAR2 = 4 # In an argument list, keyword-only and also optional ARG_NAMED_OPT = 5 def is_positional(self, star: bool = False) -> bool: return self == ARG_POS or self == ARG_OPT or (star and self == ARG_STAR) def is_named(self, star: bool = False) -> bool: return self == ARG_NAMED or self == ARG_NAMED_OPT or (star and self == ARG_STAR2) def is_required(self) -> bool: return self == ARG_POS or self == ARG_NAMED def is_optional(self) -> bool: return self == ARG_OPT or self == ARG_NAMED_OPT def is_star(self) -> bool: return self == ARG_STAR or self == ARG_STAR2 ARG_POS: Final = ArgKind.ARG_POS ARG_OPT: Final = ArgKind.ARG_OPT ARG_STAR: Final = ArgKind.ARG_STAR ARG_NAMED: Final = ArgKind.ARG_NAMED ARG_STAR2: Final = ArgKind.ARG_STAR2 ARG_NAMED_OPT: Final = ArgKind.ARG_NAMED_OPT ARG_KINDS: Final = (ARG_POS, ARG_OPT, ARG_STAR, ARG_NAMED, ARG_STAR2, ARG_NAMED_OPT) class CallExpr(Expression): """Call expression. This can also represent several special forms that are syntactically calls such as cast(...) and None # type: .... """ __slots__ = ("callee", "args", "arg_kinds", "arg_names", "analyzed") __match_args__ = ("callee", "args", "arg_kinds", "arg_names") def __init__( self, callee: Expression, args: list[Expression], arg_kinds: list[ArgKind], arg_names: list[str | None], analyzed: Expression | None = None, ) -> None: super().__init__() if not arg_names: arg_names = [None] * len(args) self.callee = callee self.args = args self.arg_kinds = arg_kinds # ARG_ constants # Each name can be None if not a keyword argument. self.arg_names: list[str | None] = arg_names # If not None, the node that represents the meaning of the CallExpr. For # cast(...) this is a CastExpr. self.analyzed = analyzed def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_call_expr(self) class YieldFromExpr(Expression): __slots__ = ("expr",) __match_args__ = ("expr",) expr: Expression def __init__(self, expr: Expression) -> None: super().__init__() self.expr = expr def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_yield_from_expr(self) class YieldExpr(Expression): __slots__ = ("expr",) __match_args__ = ("expr",) expr: Expression | None def __init__(self, expr: Expression | None) -> None: super().__init__() self.expr = expr def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_yield_expr(self) class IndexExpr(Expression): """Index expression x[y]. Also wraps type application such as List[int] as a special form. """ __slots__ = ("base", "index", "method_type", "analyzed", "as_type") __match_args__ = ("base", "index") base: Expression index: Expression # Inferred __getitem__ method type method_type: mypy.types.Type | None # If not None, this is actually semantically a type application # Class[type, ...] or a type alias initializer. analyzed: TypeApplication | TypeAliasExpr | None # If this value expression can also be parsed as a valid type expression, # represents the type denoted by the type expression. # None means "is not a type expression". as_type: NotParsed | mypy.types.Type | None def __init__(self, base: Expression, index: Expression) -> None: super().__init__() self.base = base self.index = index self.method_type = None self.analyzed = None self.as_type = NotParsed.VALUE def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_index_expr(self) class UnaryExpr(Expression): """Unary operation""" __slots__ = ("op", "expr", "method_type") __match_args__ = ("op", "expr") op: str # TODO: Enum? expr: Expression # Inferred operator method type method_type: mypy.types.Type | None def __init__(self, op: str, expr: Expression) -> None: super().__init__() self.op = op self.expr = expr self.method_type = None def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_unary_expr(self) class AssignmentExpr(Expression): """Assignment expressions in Python 3.8+, like "a := 2".""" __slots__ = ("target", "value") __match_args__ = ("target", "value") def __init__(self, target: NameExpr, value: Expression) -> None: super().__init__() self.target = target self.value = value def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_assignment_expr(self) class OpExpr(Expression): """Binary operation. The dot (.), [] and comparison operators have more specific nodes. """ __slots__ = ( "op", "left", "right", "method_type", "right_always", "right_unreachable", "analyzed", "as_type", ) __match_args__ = ("left", "op", "right") op: str # TODO: Enum? left: Expression right: Expression # Inferred type for the operator method type (when relevant). method_type: mypy.types.Type | None # Per static analysis only: Is the right side going to be evaluated every time? right_always: bool # Per static analysis only: Is the right side unreachable? right_unreachable: bool # Used for expressions that represent a type "X | Y" in some contexts analyzed: TypeAliasExpr | None # If this value expression can also be parsed as a valid type expression, # represents the type denoted by the type expression. # None means "is not a type expression". as_type: NotParsed | mypy.types.Type | None def __init__( self, op: str, left: Expression, right: Expression, analyzed: TypeAliasExpr | None = None ) -> None: super().__init__() self.op = op self.left = left self.right = right self.method_type = None self.right_always = False self.right_unreachable = False self.analyzed = analyzed self.as_type = NotParsed.VALUE def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_op_expr(self) # Expression subtypes that could represent the root of a valid type expression. # # May have an "as_type" attribute to hold the type for a type expression parsed # during the SemanticAnalyzer pass. MaybeTypeExpression = (IndexExpr, MemberExpr, NameExpr, OpExpr, StrExpr) class ComparisonExpr(Expression): """Comparison expression (e.g. a < b > c < d).""" __slots__ = ("operators", "operands", "method_types") __match_args__ = ("operands", "operators") operators: list[str] operands: list[Expression] # Inferred type for the operator methods (when relevant; None for 'is'). method_types: list[mypy.types.Type | None] def __init__(self, operators: list[str], operands: list[Expression]) -> None: super().__init__() self.operators = operators self.operands = operands self.method_types = [] def pairwise(self) -> Iterator[tuple[str, Expression, Expression]]: """If this comparison expr is "a < b is c == d", yields the sequence ("<", a, b), ("is", b, c), ("==", c, d) """ for i, operator in enumerate(self.operators): yield operator, self.operands[i], self.operands[i + 1] def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_comparison_expr(self) class SliceExpr(Expression): """Slice expression (e.g. 'x:y', 'x:', '::2' or ':'). This is only valid as index in index expressions. """ __slots__ = ("begin_index", "end_index", "stride") __match_args__ = ("begin_index", "end_index", "stride") begin_index: Expression | None end_index: Expression | None stride: Expression | None def __init__( self, begin_index: Expression | None, end_index: Expression | None, stride: Expression | None, ) -> None: super().__init__() self.begin_index = begin_index self.end_index = end_index self.stride = stride def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_slice_expr(self) class CastExpr(Expression): """Cast expression cast(type, expr).""" __slots__ = ("expr", "type") __match_args__ = ("expr", "type") expr: Expression type: mypy.types.Type def __init__(self, expr: Expression, typ: mypy.types.Type) -> None: super().__init__() self.expr = expr self.type = typ def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_cast_expr(self) class TypeFormExpr(Expression): """TypeForm(type) expression.""" __slots__ = ("type",) __match_args__ = ("type",) type: mypy.types.Type def __init__(self, typ: mypy.types.Type) -> None: super().__init__() self.type = typ def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_type_form_expr(self) class AssertTypeExpr(Expression): """Represents a typing.assert_type(expr, type) call.""" __slots__ = ("expr", "type") __match_args__ = ("expr", "type") expr: Expression type: mypy.types.Type def __init__(self, expr: Expression, typ: mypy.types.Type) -> None: super().__init__() self.expr = expr self.type = typ def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_assert_type_expr(self) class RevealExpr(Expression): """Reveal type expression reveal_type(expr) or reveal_locals() expression.""" __slots__ = ("expr", "kind", "local_nodes", "is_imported") __match_args__ = ("expr", "kind", "local_nodes", "is_imported") expr: Expression | None kind: int local_nodes: list[Var] | None def __init__( self, kind: int, expr: Expression | None = None, local_nodes: list[Var] | None = None, is_imported: bool = False, ) -> None: super().__init__() self.expr = expr self.kind = kind self.local_nodes = local_nodes self.is_imported = is_imported def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_reveal_expr(self) class SuperExpr(Expression): """Expression super().name""" __slots__ = ("name", "info", "call") __match_args__ = ("name", "call", "info") name: str info: TypeInfo | None # Type that contains this super expression call: CallExpr # The expression super(...) def __init__(self, name: str, call: CallExpr) -> None: super().__init__() self.name = name self.call = call self.info = None def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_super_expr(self) class LambdaExpr(FuncItem, Expression): """Lambda expression""" __match_args__ = ("arguments", "arg_names", "arg_kinds", "body") @property def name(self) -> str: return LAMBDA_NAME def expr(self) -> Expression: """Return the expression (the body) of the lambda.""" ret = self.body.body[-1] assert isinstance(ret, ReturnStmt) expr = ret.expr assert expr is not None # lambda can't have empty body return expr def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_lambda_expr(self) def is_dynamic(self) -> bool: return False class ListExpr(Expression): """List literal expression [...].""" __slots__ = ("items",) __match_args__ = ("items",) items: list[Expression] def __init__(self, items: list[Expression]) -> None: super().__init__() self.items = items def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_list_expr(self) class DictExpr(Expression): """Dictionary literal expression {key: value, ...}.""" __slots__ = ("items",) __match_args__ = ("items",) items: list[tuple[Expression | None, Expression]] def __init__(self, items: list[tuple[Expression | None, Expression]]) -> None: super().__init__() self.items = items def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_dict_expr(self) class TupleExpr(Expression): """Tuple literal expression (..., ...) Also lvalue sequences (..., ...) and [..., ...]""" __slots__ = ("items",) __match_args__ = ("items",) items: list[Expression] def __init__(self, items: list[Expression]) -> None: super().__init__() self.items = items def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_tuple_expr(self) class SetExpr(Expression): """Set literal expression {value, ...}.""" __slots__ = ("items",) __match_args__ = ("items",) items: list[Expression] def __init__(self, items: list[Expression]) -> None: super().__init__() self.items = items def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_set_expr(self) class GeneratorExpr(Expression): """Generator expression ... for ... in ... [ for ... in ... ] [ if ... ].""" __slots__ = ("left_expr", "sequences", "condlists", "is_async", "indices") __match_args__ = ("left_expr", "indices", "sequences", "condlists") left_expr: Expression sequences: list[Expression] condlists: list[list[Expression]] is_async: list[bool] indices: list[Lvalue] def __init__( self, left_expr: Expression, indices: list[Lvalue], sequences: list[Expression], condlists: list[list[Expression]], is_async: list[bool], ) -> None: super().__init__() self.left_expr = left_expr self.sequences = sequences self.condlists = condlists self.indices = indices self.is_async = is_async def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_generator_expr(self) class ListComprehension(Expression): """List comprehension (e.g. [x + 1 for x in a])""" __slots__ = ("generator",) __match_args__ = ("generator",) generator: GeneratorExpr def __init__(self, generator: GeneratorExpr) -> None: super().__init__() self.generator = generator def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_list_comprehension(self) class SetComprehension(Expression): """Set comprehension (e.g. {x + 1 for x in a})""" __slots__ = ("generator",) __match_args__ = ("generator",) generator: GeneratorExpr def __init__(self, generator: GeneratorExpr) -> None: super().__init__() self.generator = generator def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_set_comprehension(self) class DictionaryComprehension(Expression): """Dictionary comprehension (e.g. {k: v for k, v in a}""" __slots__ = ("key", "value", "sequences", "condlists", "is_async", "indices") __match_args__ = ("key", "value", "indices", "sequences", "condlists") key: Expression value: Expression sequences: list[Expression] condlists: list[list[Expression]] is_async: list[bool] indices: list[Lvalue] def __init__( self, key: Expression, value: Expression, indices: list[Lvalue], sequences: list[Expression], condlists: list[list[Expression]], is_async: list[bool], ) -> None: super().__init__() self.key = key self.value = value self.sequences = sequences self.condlists = condlists self.indices = indices self.is_async = is_async def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_dictionary_comprehension(self) class ConditionalExpr(Expression): """Conditional expression (e.g. x if y else z)""" __slots__ = ("cond", "if_expr", "else_expr") __match_args__ = ("if_expr", "cond", "else_expr") cond: Expression if_expr: Expression else_expr: Expression def __init__(self, cond: Expression, if_expr: Expression, else_expr: Expression) -> None: super().__init__() self.cond = cond self.if_expr = if_expr self.else_expr = else_expr def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_conditional_expr(self) class TypeApplication(Expression): """Type application expr[type, ...]""" __slots__ = ("expr", "types") __match_args__ = ("expr", "types") expr: Expression types: list[mypy.types.Type] def __init__(self, expr: Expression, types: list[mypy.types.Type]) -> None: super().__init__() self.expr = expr self.types = types def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_type_application(self) # Variance of a type variable. For example, T in the definition of # List[T] is invariant, so List[int] is not a subtype of List[object], # and also List[object] is not a subtype of List[int]. # # The T in Iterable[T] is covariant, so Iterable[int] is a subtype of # Iterable[object], but not vice versa. # # If T is contravariant in Foo[T], Foo[object] is a subtype of # Foo[int], but not vice versa. INVARIANT: Final = 0 COVARIANT: Final = 1 CONTRAVARIANT: Final = 2 VARIANCE_NOT_READY: Final = 3 # Variance hasn't been inferred (using Python 3.12 syntax) class TypeVarLikeExpr(SymbolNode, Expression): """Base class for TypeVarExpr, ParamSpecExpr and TypeVarTupleExpr. Note that they are constructed by the semantic analyzer. """ __slots__ = ("_name", "_fullname", "upper_bound", "default", "variance", "is_new_style") _name: str _fullname: str # Upper bound: only subtypes of upper_bound are valid as values. By default # this is 'object', meaning no restriction. upper_bound: mypy.types.Type # Default: used to resolve the TypeVar if the default is not explicitly given. # By default this is 'AnyType(TypeOfAny.from_omitted_generics)'. See PEP 696. default: mypy.types.Type # Variance of the type variable. Invariant is the default. # TypeVar(..., covariant=True) defines a covariant type variable. # TypeVar(..., contravariant=True) defines a contravariant type # variable. variance: int def __init__( self, name: str, fullname: str, upper_bound: mypy.types.Type, default: mypy.types.Type, variance: int = INVARIANT, is_new_style: bool = False, line: int = -1, ) -> None: super().__init__(line=line) self._name = name self._fullname = fullname self.upper_bound = upper_bound self.default = default self.variance = variance self.is_new_style = is_new_style @property def name(self) -> str: return self._name @property def fullname(self) -> str: return self._fullname # All types that are both SymbolNodes and Expressions. # Use when common children of them are needed. SYMBOL_NODE_EXPRESSION_TYPES: Final = (TypeVarLikeExpr,) class TypeVarExpr(TypeVarLikeExpr): """Type variable expression TypeVar(...). This is also used to represent type variables in symbol tables. A type variable is not valid as a type unless bound in a TypeVarLikeScope. That happens within: 1. a generic class that uses the type variable as a type argument or 2. a generic function that refers to the type variable in its signature. """ __slots__ = ("values",) __match_args__ = ("name", "values", "upper_bound", "default") # Value restriction: only types in the list are valid as values. If the # list is empty, there is no restriction. values: list[mypy.types.Type] def __init__( self, name: str, fullname: str, values: list[mypy.types.Type], upper_bound: mypy.types.Type, default: mypy.types.Type, variance: int = INVARIANT, is_new_style: bool = False, line: int = -1, ) -> None: super().__init__(name, fullname, upper_bound, default, variance, is_new_style, line=line) self.values = values def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_type_var_expr(self) def serialize(self) -> JsonDict: return { ".class": "TypeVarExpr", "name": self._name, "fullname": self._fullname, "values": [t.serialize() for t in self.values], "upper_bound": self.upper_bound.serialize(), "default": self.default.serialize(), "variance": self.variance, } @classmethod def deserialize(cls, data: JsonDict) -> TypeVarExpr: assert data[".class"] == "TypeVarExpr" return TypeVarExpr( data["name"], data["fullname"], [mypy.types.deserialize_type(v) for v in data["values"]], mypy.types.deserialize_type(data["upper_bound"]), mypy.types.deserialize_type(data["default"]), data["variance"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, TYPE_VAR_EXPR) write_str(data, self._name) write_str(data, self._fullname) mypy.types.write_type_list(data, self.values) self.upper_bound.write(data) self.default.write(data) write_int(data, self.variance) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TypeVarExpr: ret = TypeVarExpr( read_str(data), read_str(data), mypy.types.read_type_list(data), mypy.types.read_type(data), mypy.types.read_type(data), read_int(data), ) assert read_tag(data) == END_TAG return ret class ParamSpecExpr(TypeVarLikeExpr): __slots__ = () __match_args__ = ("name", "upper_bound", "default") def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_paramspec_expr(self) def serialize(self) -> JsonDict: return { ".class": "ParamSpecExpr", "name": self._name, "fullname": self._fullname, "upper_bound": self.upper_bound.serialize(), "default": self.default.serialize(), "variance": self.variance, } @classmethod def deserialize(cls, data: JsonDict) -> ParamSpecExpr: assert data[".class"] == "ParamSpecExpr" return ParamSpecExpr( data["name"], data["fullname"], mypy.types.deserialize_type(data["upper_bound"]), mypy.types.deserialize_type(data["default"]), data["variance"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, PARAM_SPEC_EXPR) write_str(data, self._name) write_str(data, self._fullname) self.upper_bound.write(data) self.default.write(data) write_int(data, self.variance) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> ParamSpecExpr: ret = ParamSpecExpr( read_str(data), read_str(data), mypy.types.read_type(data), mypy.types.read_type(data), read_int(data), ) assert read_tag(data) == END_TAG return ret class TypeVarTupleExpr(TypeVarLikeExpr): """Type variable tuple expression TypeVarTuple(...).""" __slots__ = "tuple_fallback" tuple_fallback: mypy.types.Instance __match_args__ = ("name", "upper_bound", "default") def __init__( self, name: str, fullname: str, upper_bound: mypy.types.Type, tuple_fallback: mypy.types.Instance, default: mypy.types.Type, variance: int = INVARIANT, is_new_style: bool = False, line: int = -1, ) -> None: super().__init__(name, fullname, upper_bound, default, variance, is_new_style, line=line) self.tuple_fallback = tuple_fallback def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_type_var_tuple_expr(self) def serialize(self) -> JsonDict: return { ".class": "TypeVarTupleExpr", "name": self._name, "fullname": self._fullname, "upper_bound": self.upper_bound.serialize(), "tuple_fallback": self.tuple_fallback.serialize(), "default": self.default.serialize(), "variance": self.variance, } @classmethod def deserialize(cls, data: JsonDict) -> TypeVarTupleExpr: assert data[".class"] == "TypeVarTupleExpr" return TypeVarTupleExpr( data["name"], data["fullname"], mypy.types.deserialize_type(data["upper_bound"]), mypy.types.Instance.deserialize(data["tuple_fallback"]), mypy.types.deserialize_type(data["default"]), data["variance"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, TYPE_VAR_TUPLE_EXPR) self.tuple_fallback.write(data) write_str(data, self._name) write_str(data, self._fullname) self.upper_bound.write(data) self.default.write(data) write_int(data, self.variance) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TypeVarTupleExpr: assert read_tag(data) == mypy.types.INSTANCE fallback = mypy.types.Instance.read(data) ret = TypeVarTupleExpr( read_str(data), read_str(data), mypy.types.read_type(data), fallback, mypy.types.read_type(data), read_int(data), ) assert read_tag(data) == END_TAG return ret class TypeAliasExpr(Expression): """Type alias expression (rvalue).""" __slots__ = ("node",) __match_args__ = ("node",) node: TypeAlias def __init__(self, node: TypeAlias) -> None: super().__init__() self.node = node def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_type_alias_expr(self) class NamedTupleExpr(Expression): """Named tuple expression namedtuple(...) or NamedTuple(...).""" __slots__ = ("info", "is_typed") __match_args__ = ("info",) # The class representation of this named tuple (its tuple_type attribute contains # the tuple item types) info: TypeInfo is_typed: bool # whether this class was created with typing(_extensions).NamedTuple def __init__(self, info: TypeInfo, is_typed: bool = False) -> None: super().__init__() self.info = info self.is_typed = is_typed def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_namedtuple_expr(self) class TypedDictExpr(Expression): """Typed dict expression TypedDict(...).""" __slots__ = ("info",) __match_args__ = ("info",) # The class representation of this typed dict info: TypeInfo def __init__(self, info: TypeInfo) -> None: super().__init__() self.info = info def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_typeddict_expr(self) class EnumCallExpr(Expression): """Named tuple expression Enum('name', 'val1 val2 ...').""" __slots__ = ("info", "items", "values") __match_args__ = ("info", "items", "values") # The class representation of this enumerated type info: TypeInfo # The item names (for debugging) items: list[str] values: list[Expression | None] def __init__(self, info: TypeInfo, items: list[str], values: list[Expression | None]) -> None: super().__init__() self.info = info self.items = items self.values = values def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_enum_call_expr(self) class PromoteExpr(Expression): """Ducktype class decorator expression _promote(...).""" __slots__ = ("type",) type: mypy.types.ProperType def __init__(self, type: mypy.types.ProperType) -> None: super().__init__() self.type = type def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit__promote_expr(self) class NewTypeExpr(Expression): """NewType expression NewType(...).""" __slots__ = ("name", "old_type", "info") __match_args__ = ("name", "old_type", "info") name: str # The base type (the second argument to NewType) old_type: mypy.types.Type | None # The synthesized class representing the new type (inherits old_type) info: TypeInfo | None def __init__( self, name: str, old_type: mypy.types.Type | None, line: int, column: int ) -> None: super().__init__(line=line, column=column) self.name = name self.old_type = old_type self.info = None def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_newtype_expr(self) class AwaitExpr(Expression): """Await expression (await ...).""" __slots__ = ("expr",) __match_args__ = ("expr",) expr: Expression def __init__(self, expr: Expression) -> None: super().__init__() self.expr = expr def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_await_expr(self) # Constants class TempNode(Expression): """Temporary dummy node used during type checking. This node is not present in the original program; it is just an artifact of the type checker implementation. It only represents an opaque node with some fixed type. """ __slots__ = ("type", "no_rhs") type: mypy.types.Type # Is this TempNode used to indicate absence of a right hand side in an annotated assignment? # (e.g. for 'x: int' the rvalue is TempNode(AnyType(TypeOfAny.special_form), no_rhs=True)) no_rhs: bool def __init__( self, typ: mypy.types.Type, no_rhs: bool = False, *, context: Context | None = None ) -> None: """Construct a dummy node; optionally borrow line/column from context object.""" super().__init__() self.type = typ self.no_rhs = no_rhs if context is not None: self.line = context.line self.column = context.column def __repr__(self) -> str: return "TempNode:%d(%s)" % (self.line, str(self.type)) def accept(self, visitor: ExpressionVisitor[T]) -> T: return visitor.visit_temp_node(self) # Special attributes not collected as protocol members by Python 3.12 # See typing._SPECIAL_NAMES EXCLUDED_PROTOCOL_ATTRIBUTES: Final = frozenset( { "__abstractmethods__", "__annotations__", "__dict__", "__doc__", "__init__", "__module__", "__new__", "__slots__", "__subclasshook__", "__weakref__", "__class_getitem__", # Since Python 3.9 } ) # Attributes that can optionally be defined in the body of a subclass of # enum.Enum but are removed from the class __dict__ by EnumMeta. EXCLUDED_ENUM_ATTRIBUTES: Final = frozenset({"_ignore_", "_order_", "__order__"}) class TypeInfo(SymbolNode): """The type structure of a single class. Each TypeInfo corresponds one-to-one to a ClassDef, which represents the AST of the class. In type-theory terms, this is a "type constructor", and if the class is generic then it will be a type constructor of higher kind. Where the class is used in an actual type, it's in the form of an Instance, which amounts to a type application of the tycon to the appropriate number of arguments. """ __slots__ = ( "_fullname", "module_name", "defn", "mro", "_mro_refs", "bad_mro", "is_final", "is_disjoint_base", "declared_metaclass", "metaclass_type", "names", "is_abstract", "is_protocol", "runtime_protocol", "abstract_attributes", "deletable_attributes", "slots", "assuming", "assuming_proper", "inferring", "is_enum", "fallback_to_any", "meta_fallback_to_any", "type_vars", "has_param_spec_type", "bases", "_promote", "tuple_type", "special_alias", "is_named_tuple", "typeddict_type", "is_newtype", "is_intersection", "metadata", "alt_promote", "has_type_var_tuple_type", "type_var_tuple_prefix", "type_var_tuple_suffix", "self_type", "dataclass_transform_spec", "is_type_check_only", "deprecated", "type_object_type", ) _fullname: str # Fully qualified name # Fully qualified name for the module this type was defined in. This # information is also in the fullname, but is harder to extract in the # case of nested class definitions. module_name: str defn: ClassDef # Corresponding ClassDef # Method Resolution Order: the order of looking up attributes. The first # value always to refers to this class. mro: list[TypeInfo] # Used to stash the names of the mro classes temporarily between # deserialization and fixup. See deserialize() for why. _mro_refs: list[str] | None bad_mro: bool # Could not construct full MRO is_final: bool is_disjoint_base: bool declared_metaclass: mypy.types.Instance | None metaclass_type: mypy.types.Instance | None names: SymbolTable # Names defined directly in this type is_abstract: bool # Does the class have any abstract attributes? is_protocol: bool # Is this a protocol class? runtime_protocol: bool # Does this protocol support isinstance checks? # List of names of abstract attributes together with their abstract status. # The abstract status must be one of `NOT_ABSTRACT`, `IS_ABSTRACT`, `IMPLICITLY_ABSTRACT`. abstract_attributes: list[tuple[str, int]] deletable_attributes: list[str] # Used by mypyc only # Does this type have concrete `__slots__` defined? # If class does not have `__slots__` defined then it is `None`, # if it has empty `__slots__` then it is an empty set. slots: set[str] | None # The attributes 'assuming' and 'assuming_proper' represent structural subtype matrices. # # In languages with structural subtyping, one can keep a global subtype matrix like this: # . A B C . # A 1 0 0 # B 1 1 1 # C 1 0 1 # . # where 1 indicates that the type in corresponding row is a subtype of the type # in corresponding column. This matrix typically starts filled with all 1's and # a typechecker tries to "disprove" every subtyping relation using atomic (or nominal) types. # However, we don't want to keep this huge global state. Instead, we keep the subtype # information in the form of list of pairs (subtype, supertype) shared by all Instances # with given supertype's TypeInfo. When we enter a subtype check we push a pair in this list # thus assuming that we started with 1 in corresponding matrix element. Such algorithm allows # to treat recursive and mutually recursive protocols and other kinds of complex situations. # # If concurrent/parallel type checking will be added in future, # then there should be one matrix per thread/process to avoid false negatives # during the type checking phase. assuming: list[tuple[mypy.types.Instance, mypy.types.Instance]] assuming_proper: list[tuple[mypy.types.Instance, mypy.types.Instance]] # Ditto for temporary 'inferring' stack of recursive constraint inference. # It contains Instances of protocol types that appeared as an argument to # constraints.infer_constraints(). We need 'inferring' to avoid infinite recursion for # recursive and mutually recursive protocols. # # We make 'assuming' and 'inferring' attributes here instead of passing they as kwargs, # since this would require to pass them in many dozens of calls. In particular, # there is a dependency infer_constraint -> is_subtype -> is_callable_subtype -> # -> infer_constraints. inferring: list[mypy.types.Instance] # 'inferring' and 'assuming' can't be made sets, since we need to use # is_same_type to correctly treat unions. # Classes inheriting from Enum shadow their true members with a __getattr__, so we # have to treat them as a special case. is_enum: bool # If true, any unknown attributes should have type 'Any' instead # of generating a type error. This would be true if there is a # base class with type 'Any', but other use cases may be # possible. This is similar to having __getattr__ that returns Any # (and __setattr__), but without the __getattr__ method. fallback_to_any: bool # Same as above but for cases where metaclass has type Any. This will suppress # all attribute errors only for *class object* access. meta_fallback_to_any: bool # Information related to type annotations. # Generic type variable names (full names) type_vars: list[str] # Whether this class has a ParamSpec type variable has_param_spec_type: bool # Direct base classes. bases: list[mypy.types.Instance] # Another type which this type will be treated as a subtype of, # even though it's not a subclass in Python. The non-standard # `@_promote` decorator introduces this, and there are also # several builtin examples, in particular `int` -> `float`. _promote: list[mypy.types.ProperType] # This is used for promoting native integer types such as 'i64' to # 'int'. (_promote is used for the other direction.) This only # supports one-step promotions (e.g., i64 -> int, not # i64 -> int -> float, and this isn't used to promote in joins. # # This results in some unintuitive results, such as that even # though i64 is compatible with int and int is compatible with # float, i64 is *not* compatible with float. alt_promote: mypy.types.Instance | None # Representation of a Tuple[...] base class, if the class has any # (e.g., for named tuples). If this is not None, the actual Type # object used for this class is not an Instance but a TupleType; # the corresponding Instance is set as the fallback type of the # tuple type. tuple_type: mypy.types.TupleType | None # Is this a named tuple type? is_named_tuple: bool # If this class is defined by the TypedDict type constructor, # then this is not None. typeddict_type: mypy.types.TypedDictType | None # Is this a newtype type? is_newtype: bool # Is this a synthesized intersection type? is_intersection: bool # This is a dictionary that will be serialized and un-serialized as is. # It is useful for plugins to add their data to save in the cache. metadata: dict[str, JsonDict] # Store type alias representing this type (for named tuples and TypedDicts). # Although definitions of these types are stored in symbol tables as TypeInfo, # when a type analyzer will find them, it should construct a TupleType, or # a TypedDict type. However, we can't use the plain types, since if the definition # is recursive, this will create an actual recursive structure of types (i.e. as # internal Python objects) causing infinite recursions everywhere during type checking. # To overcome this, we create a TypeAlias node, that will point to these types. # We store this node in the `special_alias` attribute, because it must be the same node # in case we are doing multiple semantic analysis passes. special_alias: TypeAlias | None # Shared type variable for typing.Self in this class (if used, otherwise None). self_type: mypy.types.TypeVarType | None # Added if the corresponding class is directly decorated with `typing.dataclass_transform` dataclass_transform_spec: DataclassTransformSpec | None # Is set to `True` when class is decorated with `@typing.type_check_only` is_type_check_only: bool # The type's deprecation message (in case it is deprecated) deprecated: str | None # Cached value of class constructor type, i.e. the type of class object when it # appears in runtime context. type_object_type: mypy.types.FunctionLike | None FLAGS: Final = [ "is_abstract", "is_enum", "fallback_to_any", "meta_fallback_to_any", "is_named_tuple", "is_newtype", "is_protocol", "runtime_protocol", "is_final", "is_disjoint_base", "is_intersection", ] def __init__(self, names: SymbolTable, defn: ClassDef, module_name: str) -> None: """Initialize a TypeInfo.""" super().__init__() self._fullname = defn.fullname self.names = names self.defn = defn self.module_name = module_name self.type_vars = [] self.has_param_spec_type = False self.has_type_var_tuple_type = False self.bases = [] self.mro = [] self._mro_refs = None self.bad_mro = False self.declared_metaclass = None self.metaclass_type = None self.is_abstract = False self.abstract_attributes = [] self.deletable_attributes = [] self.slots = None self.assuming = [] self.assuming_proper = [] self.inferring = [] self.is_protocol = False self.runtime_protocol = False self.type_var_tuple_prefix: int | None = None self.type_var_tuple_suffix: int | None = None self.add_type_vars() self.is_final = False self.is_disjoint_base = False self.is_enum = False self.fallback_to_any = False self.meta_fallback_to_any = False self._promote = [] self.alt_promote = None self.tuple_type = None self.special_alias = None self.is_named_tuple = False self.typeddict_type = None self.is_newtype = False self.is_intersection = False self.metadata = {} self.self_type = None self.dataclass_transform_spec = None self.is_type_check_only = False self.deprecated = None self.type_object_type = None def add_type_vars(self) -> None: self.has_type_var_tuple_type = False if self.defn.type_vars: for i, vd in enumerate(self.defn.type_vars): if isinstance(vd, mypy.types.ParamSpecType): self.has_param_spec_type = True if isinstance(vd, mypy.types.TypeVarTupleType): assert not self.has_type_var_tuple_type self.has_type_var_tuple_type = True self.type_var_tuple_prefix = i self.type_var_tuple_suffix = len(self.defn.type_vars) - i - 1 self.type_vars.append(vd.name) @property def name(self) -> str: """Short name.""" return self.defn.name @property def fullname(self) -> str: return self._fullname def is_generic(self) -> bool: """Is the type generic (i.e. does it have type variables)?""" return len(self.type_vars) > 0 def get(self, name: str) -> SymbolTableNode | None: for cls in self.mro: n = cls.names.get(name) if n: return n return None def get_containing_type_info(self, name: str) -> TypeInfo | None: for cls in self.mro: if name in cls.names: return cls return None @property def protocol_members(self) -> list[str]: # Protocol members are names of all attributes/methods defined in a protocol # and in all its supertypes (except for 'object'). members: set[str] = set() assert self.mro, "This property can be only accessed after MRO is (re-)calculated" for base in self.mro[:-1]: # we skip "object" since everyone implements it if base.is_protocol: for name, node in base.names.items(): if isinstance(node.node, (TypeAlias, TypeVarExpr, MypyFile)): # These are auxiliary definitions (and type aliases are prohibited). continue if name in EXCLUDED_PROTOCOL_ATTRIBUTES: continue members.add(name) return sorted(members) @property def enum_members(self) -> list[str]: # TODO: cache the results? members = [] for name, sym in self.names.items(): # Case 1: # # class MyEnum(Enum): # @member # def some(self): ... if isinstance(sym.node, Decorator): if any( dec.fullname == "enum.member" for dec in sym.node.decorators if isinstance(dec, RefExpr) ): members.append(name) continue # Case 2: # # class MyEnum(Enum): # x = 1 # # Case 3: # # class MyEnum(Enum): # class Other: ... elif isinstance(sym.node, (Var, TypeInfo)): if ( # TODO: properly support ignored names from `_ignore_` name in EXCLUDED_ENUM_ATTRIBUTES or is_sunder(name) or name.startswith("__") # dunder and private ): continue # name is excluded if isinstance(sym.node, Var): if not sym.node.has_explicit_value: continue # unannotated value not a member typ = mypy.types.get_proper_type(sym.node.type) if ( isinstance(typ, mypy.types.FunctionLike) and not typ.is_type_obj() ) or ( # explicit `@member` is required isinstance(typ, mypy.types.Instance) and typ.type.fullname == "enum.nonmember" ): continue # name is not a member members.append(name) return members def __getitem__(self, name: str) -> SymbolTableNode: n = self.get(name) if n: return n else: raise KeyError(name) def __repr__(self) -> str: return f"" def __bool__(self) -> bool: # We defined this here instead of just overriding it in # FakeInfo so that mypyc can generate a direct call instead of # using the generic bool handling. return not isinstance(self, FakeInfo) def has_readable_member(self, name: str) -> bool: return self.get(name) is not None def get_method(self, name: str) -> FuncBase | Decorator | None: for cls in self.mro: if name in cls.names: node = cls.names[name].node if isinstance(node, SYMBOL_FUNCBASE_TYPES): return node elif isinstance(node, Decorator): # Two `if`s make `mypyc` happy return node else: return None return None def calculate_metaclass_type(self) -> mypy.types.Instance | None: declared = self.declared_metaclass if declared is not None and not declared.type.has_base("builtins.type"): return declared if self._fullname == "builtins.type": return mypy.types.Instance(self, []) winner = declared for super_class in self.mro[1:]: super_meta = super_class.declared_metaclass if super_meta is None or super_meta.type is None: continue if winner is None: winner = super_meta continue if winner.type.has_base(super_meta.type.fullname): continue if super_meta.type.has_base(winner.type.fullname): winner = super_meta continue # metaclass conflict winner = None break return winner def explain_metaclass_conflict(self) -> str | None: # Compare to logic in calculate_metaclass_type declared = self.declared_metaclass if declared is not None and not declared.type.has_base("builtins.type"): return None if self._fullname == "builtins.type": return None winner = declared if declared is None: resolution_steps = [] else: resolution_steps = [f'"{declared.type.fullname}" (metaclass of "{self.fullname}")'] for super_class in self.mro[1:]: super_meta = super_class.declared_metaclass if super_meta is None or super_meta.type is None: continue if winner is None: winner = super_meta resolution_steps.append( f'"{winner.type.fullname}" (metaclass of "{super_class.fullname}")' ) continue if winner.type.has_base(super_meta.type.fullname): continue if super_meta.type.has_base(winner.type.fullname): winner = super_meta resolution_steps.append( f'"{winner.type.fullname}" (metaclass of "{super_class.fullname}")' ) continue # metaclass conflict conflict = f'"{super_meta.type.fullname}" (metaclass of "{super_class.fullname}")' return f"{' > '.join(resolution_steps)} conflicts with {conflict}" return None def is_metaclass(self, *, precise: bool = False) -> bool: return ( self.has_base("builtins.type") or self.fullname == "abc.ABCMeta" or (self.fallback_to_any and not precise) ) def has_base(self, fullname: str) -> bool: """Return True if type has a base type with the specified name. This can be either via extension or via implementation. """ for cls in self.mro: if cls.fullname == fullname: return True return False def direct_base_classes(self) -> list[TypeInfo]: """Return a direct base classes. Omit base classes of other base classes. """ return [base.type for base in self.bases] def update_tuple_type(self, typ: mypy.types.TupleType) -> None: """Update tuple_type and special_alias as needed.""" self.tuple_type = typ alias = TypeAlias.from_tuple_type(self) if not self.special_alias: self.special_alias = alias else: self.special_alias.target = alias.target # Invalidate recursive status cache in case it was previously set. self.special_alias._is_recursive = None def update_typeddict_type(self, typ: mypy.types.TypedDictType) -> None: """Update typeddict_type and special_alias as needed.""" self.typeddict_type = typ alias = TypeAlias.from_typeddict_type(self) if not self.special_alias: self.special_alias = alias else: self.special_alias.target = alias.target # Invalidate recursive status cache in case it was previously set. self.special_alias._is_recursive = None def __str__(self) -> str: """Return a string representation of the type. This includes the most important information about the type. """ options = Options() return self.dump( str_conv=mypy.strconv.StrConv(options=options), type_str_conv=mypy.types.TypeStrVisitor(options=options), ) def dump( self, str_conv: mypy.strconv.StrConv, type_str_conv: mypy.types.TypeStrVisitor ) -> str: """Return a string dump of the contents of the TypeInfo.""" base: str = "" def type_str(typ: mypy.types.Type) -> str: return typ.accept(type_str_conv) head = "TypeInfo" + str_conv.format_id(self) if self.bases: base = f"Bases({', '.join(type_str(base) for base in self.bases)})" mro = "Mro({})".format( ", ".join(item.fullname + str_conv.format_id(item) for item in self.mro) ) names = [] for name in sorted(self.names): description = name + str_conv.format_id(self.names[name].node) node = self.names[name].node if isinstance(node, Var) and node.type: description += f" ({type_str(node.type)})" names.append(description) items = [f"Name({self.fullname})", base, mro, ("Names", names)] if self.declared_metaclass: items.append(f"DeclaredMetaclass({type_str(self.declared_metaclass)})") if self.metaclass_type: items.append(f"MetaclassType({type_str(self.metaclass_type)})") return mypy.strconv.dump_tagged(items, head, str_conv=str_conv) def serialize(self) -> JsonDict: # NOTE: This is where all ClassDefs originate, so there shouldn't be duplicates. data = { ".class": "TypeInfo", "module_name": self.module_name, "fullname": self.fullname, "names": self.names.serialize(self.fullname), "defn": self.defn.serialize(), "abstract_attributes": self.abstract_attributes, "type_vars": self.type_vars, "has_param_spec_type": self.has_param_spec_type, "bases": [b.serialize() for b in self.bases], "mro": [c.fullname for c in self.mro], "_promote": [p.serialize() for p in self._promote], "alt_promote": None if self.alt_promote is None else self.alt_promote.serialize(), "declared_metaclass": ( None if self.declared_metaclass is None else self.declared_metaclass.serialize() ), "metaclass_type": ( None if self.metaclass_type is None else self.metaclass_type.serialize() ), "tuple_type": None if self.tuple_type is None else self.tuple_type.serialize(), "typeddict_type": ( None if self.typeddict_type is None else self.typeddict_type.serialize() ), "flags": get_flags(self, TypeInfo.FLAGS), "metadata": self.metadata, "slots": sorted(self.slots) if self.slots is not None else None, "deletable_attributes": self.deletable_attributes, "self_type": self.self_type.serialize() if self.self_type is not None else None, "dataclass_transform_spec": ( self.dataclass_transform_spec.serialize() if self.dataclass_transform_spec is not None else None ), "deprecated": self.deprecated, } return data @classmethod def deserialize(cls, data: JsonDict) -> TypeInfo: names = SymbolTable.deserialize(data["names"]) defn = ClassDef.deserialize(data["defn"]) module_name = data["module_name"] ti = TypeInfo(names, defn, module_name) ti._fullname = data["fullname"] ti.abstract_attributes = [(attr[0], attr[1]) for attr in data["abstract_attributes"]] ti.type_vars = data["type_vars"] ti.has_param_spec_type = data["has_param_spec_type"] ti.bases = [mypy.types.Instance.deserialize(b) for b in data["bases"]] _promote = [] for p in data["_promote"]: t = mypy.types.deserialize_type(p) assert isinstance(t, mypy.types.ProperType) _promote.append(t) ti._promote = _promote ti.alt_promote = ( None if data["alt_promote"] is None else mypy.types.Instance.deserialize(data["alt_promote"]) ) ti.declared_metaclass = ( None if data["declared_metaclass"] is None else mypy.types.Instance.deserialize(data["declared_metaclass"]) ) ti.metaclass_type = ( None if data["metaclass_type"] is None else mypy.types.Instance.deserialize(data["metaclass_type"]) ) # NOTE: ti.mro will be set in the fixup phase based on these # names. The reason we need to store the mro instead of just # recomputing it from base classes has to do with a subtle # point about fine-grained incremental: the cache files might # not be loaded until after a class in the mro has changed its # bases, which causes the mro to change. If we recomputed our # mro, we would compute the *new* mro, which leaves us with no # way to detect that the mro has changed! Thus we need to make # sure to load the original mro so that once the class is # rechecked, it can tell that the mro has changed. ti._mro_refs = data["mro"] ti.tuple_type = ( None if data["tuple_type"] is None else mypy.types.TupleType.deserialize(data["tuple_type"]) ) ti.typeddict_type = ( None if data["typeddict_type"] is None else mypy.types.TypedDictType.deserialize(data["typeddict_type"]) ) ti.metadata = data["metadata"] ti.slots = set(data["slots"]) if data["slots"] is not None else None ti.deletable_attributes = data["deletable_attributes"] set_flags(ti, data["flags"]) st = data["self_type"] ti.self_type = mypy.types.TypeVarType.deserialize(st) if st is not None else None if data.get("dataclass_transform_spec") is not None: ti.dataclass_transform_spec = DataclassTransformSpec.deserialize( data["dataclass_transform_spec"] ) ti.deprecated = data.get("deprecated") return ti def write(self, data: WriteBuffer) -> None: write_tag(data, TYPE_INFO) self.names.write(data, self.fullname) self.defn.write(data) write_str(data, self.module_name) write_str(data, self.fullname) write_str_list(data, [a for a, _ in self.abstract_attributes]) write_int_list(data, [s for _, s in self.abstract_attributes]) write_str_list(data, self.type_vars) write_bool(data, self.has_param_spec_type) mypy.types.write_type_list(data, self.bases) write_str_list(data, [c.fullname for c in self.mro]) mypy.types.write_type_list(data, self._promote) mypy.types.write_type_opt(data, self.alt_promote) mypy.types.write_type_opt(data, self.declared_metaclass) mypy.types.write_type_opt(data, self.metaclass_type) mypy.types.write_type_opt(data, self.tuple_type) mypy.types.write_type_opt(data, self.typeddict_type) write_flags(data, self, TypeInfo.FLAGS) write_json(data, self.metadata) if self.slots is None: write_tag(data, LITERAL_NONE) else: write_str_list(data, sorted(self.slots)) write_str_list(data, self.deletable_attributes) mypy.types.write_type_opt(data, self.self_type) if self.dataclass_transform_spec is None: write_tag(data, LITERAL_NONE) else: self.dataclass_transform_spec.write(data) write_str_opt(data, self.deprecated) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TypeInfo: names = SymbolTable.read(data) assert read_tag(data) == CLASS_DEF defn = ClassDef.read(data) module_name = read_str(data) ti = TypeInfo(names, defn, module_name) ti._fullname = read_str(data) attrs = read_str_list(data) statuses = read_int_list(data) ti.abstract_attributes = list(zip(attrs, statuses)) ti.type_vars = read_str_list(data) ti.has_param_spec_type = read_bool(data) ti.bases = [] assert read_tag(data) == LIST_GEN for _ in range(read_int_bare(data)): assert read_tag(data) == mypy.types.INSTANCE ti.bases.append(mypy.types.Instance.read(data)) # NOTE: ti.mro will be set in the fixup phase based on these # names. The reason we need to store the mro instead of just # recomputing it from base classes has to do with a subtle # point about fine-grained incremental: the cache files might # not be loaded until after a class in the mro has changed its # bases, which causes the mro to change. If we recomputed our # mro, we would compute the *new* mro, which leaves us with no # way to detect that the mro has changed! Thus, we need to make # sure to load the original mro so that once the class is # rechecked, it can tell that the mro has changed. ti._mro_refs = read_str_list(data) ti._promote = cast(list[mypy.types.ProperType], mypy.types.read_type_list(data)) if (tag := read_tag(data)) != LITERAL_NONE: assert tag == mypy.types.INSTANCE ti.alt_promote = mypy.types.Instance.read(data) if (tag := read_tag(data)) != LITERAL_NONE: assert tag == mypy.types.INSTANCE ti.declared_metaclass = mypy.types.Instance.read(data) if (tag := read_tag(data)) != LITERAL_NONE: assert tag == mypy.types.INSTANCE ti.metaclass_type = mypy.types.Instance.read(data) if (tag := read_tag(data)) != LITERAL_NONE: assert tag == mypy.types.TUPLE_TYPE ti.tuple_type = mypy.types.TupleType.read(data) if (tag := read_tag(data)) != LITERAL_NONE: assert tag == mypy.types.TYPED_DICT_TYPE ti.typeddict_type = mypy.types.TypedDictType.read(data) read_flags(data, ti, TypeInfo.FLAGS) ti.metadata = read_json(data) tag = read_tag(data) if tag != LITERAL_NONE: assert tag == LIST_STR ti.slots = {read_str_bare(data) for _ in range(read_int_bare(data))} ti.deletable_attributes = read_str_list(data) if (tag := read_tag(data)) != LITERAL_NONE: assert tag == mypy.types.TYPE_VAR_TYPE ti.self_type = mypy.types.TypeVarType.read(data) tag = read_tag(data) if tag != LITERAL_NONE: assert tag == DT_SPEC ti.dataclass_transform_spec = DataclassTransformSpec.read(data) ti.deprecated = read_str_opt(data) assert read_tag(data) == END_TAG return ti class FakeInfo(TypeInfo): __slots__ = ("msg",) # types.py defines a single instance of this class, called types.NOT_READY. # This instance is used as a temporary placeholder in the process of de-serialization # of 'Instance' types. The de-serialization happens in two steps: In the first step, # Instance.type is set to NOT_READY. In the second step (in fixup.py) it is replaced by # an actual TypeInfo. If you see the assertion error below, then most probably something # went wrong during the second step and an 'Instance' that raised this error was not fixed. # Note: # 'None' is not used as a dummy value for two reasons: # 1. This will require around 80-100 asserts to make 'mypy --strict-optional mypy' # pass cleanly. # 2. If NOT_READY value is accidentally used somewhere, it will be obvious where the value # is from, whereas a 'None' value could come from anywhere. # # Additionally, this serves as a more general-purpose placeholder # for missing TypeInfos in a number of places where the excuses # for not being Optional are a little weaker. # # TypeInfo defines a __bool__ method that returns False for FakeInfo # so that it can be conveniently tested against in the same way that it # would be if things were properly optional. def __init__(self, msg: str) -> None: self.msg = msg def __getattribute__(self, attr: str) -> type: # Handle __class__ so that isinstance still works... if attr == "__class__": return object.__getattribute__(self, attr) # type: ignore[no-any-return] raise AssertionError(object.__getattribute__(self, "msg")) VAR_NO_INFO: Final[TypeInfo] = FakeInfo("Var is lacking info") CLASSDEF_NO_INFO: Final[TypeInfo] = FakeInfo("ClassDef is lacking info") FUNC_NO_INFO: Final[TypeInfo] = FakeInfo("FuncBase for non-methods lack info") MISSING_FALLBACK: Final = FakeInfo("fallback can't be filled out until semanal") class TypeAlias(SymbolNode): """ A symbol node representing a type alias. Type alias is a static concept, in contrast to variables with types like Type[...]. Namely: * type aliases - can be used in type context (annotations) - cannot be re-assigned * variables with type Type[...] - cannot be used in type context - but can be re-assigned An alias can be defined only by an assignment to a name (not any other lvalues). Such assignment defines an alias by default. To define a variable, an explicit Type[...] annotation is required. As an exception, at non-global scope non-subscripted rvalue creates a variable even without an annotation. This exception exists to accommodate the common use case of class-valued attributes. See SemanticAnalyzerPass2.check_and_set_up_type_alias for details. Aliases can be generic. We use bound type variables for generic aliases, similar to classes. Essentially, type aliases work as macros that expand textually. The definition and expansion rules are following: 1. An alias targeting a generic class without explicit variables act as the given class (this doesn't apply to TypedDict, Tuple and Callable, which are not proper classes but special type constructors): A = List AA = List[Any] x: A # same as List[Any] x: A[int] # same as List[int] x: AA # same as List[Any] x: AA[int] # Error! C = Callable # Same as Callable[..., Any] T = Tuple # Same as Tuple[Any, ...] 2. An alias using explicit type variables in its rvalue expects replacements (type arguments) for these variables. If missing, they are treated as Any, like for other generics: B = List[Tuple[T, T]] x: B # same as List[Tuple[Any, Any]] x: B[int] # same as List[Tuple[int, int]] def f(x: B[T]) -> T: ... # without T, Any would be used here 3. An alias can be defined using another aliases. In the definition rvalue the Any substitution doesn't happen for top level unsubscripted generic classes: A = List B = A # here A is expanded to List, _not_ List[Any], # to match the Python runtime behaviour x: B[int] # same as List[int] C = List[A] # this expands to List[List[Any]] AA = List[T] D = AA # here AA expands to List[Any] x: D[int] # Error! Note: the fact that we support aliases like `A = List` means that the target type will be initially an instance type with wrong number of type arguments. Such instances are all fixed either during or after main semantic analysis passes. We therefore store the difference between `List` and `List[Any]` rvalues (targets) using the `no_args` flag. Meaning of other fields: target: The target type. For generic aliases contains bound type variables as nested types (currently TypeVar and ParamSpec are supported). _fullname: Qualified name of this type alias. This is used in particular to track fine-grained dependencies from aliases. module: Module where the alias was defined. alias_tvars: Type variables used to define this alias. normalized: Used to distinguish between `A = List`, and `A = list`. Both are internally stored using `builtins.list` (because `typing.List` is itself an alias), while the second cannot be subscripted because of Python runtime limitation. line and column: Line and column on the original alias definition. eager: If True, immediately expand alias when referred to (useful for aliases within functions that can't be looked up from the symbol table) """ __slots__ = ( "target", "_fullname", "module", "alias_tvars", "no_args", "normalized", "_is_recursive", "eager", "tvar_tuple_index", "python_3_12_type_alias", ) __match_args__ = ("name", "target", "alias_tvars", "no_args") def __init__( self, target: mypy.types.Type, fullname: str, module: str, line: int, column: int, *, alias_tvars: list[mypy.types.TypeVarLikeType] | None = None, no_args: bool = False, normalized: bool = False, eager: bool = False, python_3_12_type_alias: bool = False, ) -> None: self._fullname = fullname self.module = module self.target = target if alias_tvars is None: alias_tvars = [] self.alias_tvars = alias_tvars self.no_args = no_args self.normalized = normalized # This attribute is manipulated by TypeAliasType. If non-None, # it is the cached value. self._is_recursive: bool | None = None self.eager = eager self.python_3_12_type_alias = python_3_12_type_alias self.tvar_tuple_index = None for i, t in enumerate(alias_tvars): if isinstance(t, mypy.types.TypeVarTupleType): self.tvar_tuple_index = i super().__init__(line, column) @classmethod def from_tuple_type(cls, info: TypeInfo) -> TypeAlias: """Generate an alias to the tuple type described by a given TypeInfo. NOTE: this doesn't set type alias type variables (for generic tuple types), they must be set by the caller (when fully analyzed). """ assert info.tuple_type # TODO: is it possible to refactor this to set the correct type vars here? return TypeAlias( info.tuple_type.copy_modified( # Create an Instance similar to fill_typevars(). fallback=mypy.types.Instance( info, mypy.types.type_vars_as_args(info.defn.type_vars) ) ), info.fullname, info.module_name, info.line, info.column, ) @classmethod def from_typeddict_type(cls, info: TypeInfo) -> TypeAlias: """Generate an alias to the TypedDict type described by a given TypeInfo. NOTE: this doesn't set type alias type variables (for generic TypedDicts), they must be set by the caller (when fully analyzed). """ assert info.typeddict_type # TODO: is it possible to refactor this to set the correct type vars here? return TypeAlias( info.typeddict_type.copy_modified( # Create an Instance similar to fill_typevars(). fallback=mypy.types.Instance( info, mypy.types.type_vars_as_args(info.defn.type_vars) ) ), info.fullname, info.module_name, info.line, info.column, ) @property def name(self) -> str: return self._fullname.split(".")[-1] @property def fullname(self) -> str: return self._fullname @property def has_param_spec_type(self) -> bool: return any(isinstance(v, mypy.types.ParamSpecType) for v in self.alias_tvars) def accept(self, visitor: NodeVisitor[T]) -> T: return visitor.visit_type_alias(self) def serialize(self) -> JsonDict: data: JsonDict = { ".class": "TypeAlias", "fullname": self._fullname, "module": self.module, "target": self.target.serialize(), "alias_tvars": [v.serialize() for v in self.alias_tvars], "no_args": self.no_args, "normalized": self.normalized, "python_3_12_type_alias": self.python_3_12_type_alias, } return data @classmethod def deserialize(cls, data: JsonDict) -> TypeAlias: assert data[".class"] == "TypeAlias" fullname = data["fullname"] module = data["module"] alias_tvars = [mypy.types.deserialize_type(v) for v in data["alias_tvars"]] assert all(isinstance(t, mypy.types.TypeVarLikeType) for t in alias_tvars) target = mypy.types.deserialize_type(data["target"]) no_args = data["no_args"] normalized = data["normalized"] python_3_12_type_alias = data["python_3_12_type_alias"] return cls( target, fullname, module, -1, -1, alias_tvars=cast(list[mypy.types.TypeVarLikeType], alias_tvars), no_args=no_args, normalized=normalized, python_3_12_type_alias=python_3_12_type_alias, ) def write(self, data: WriteBuffer) -> None: write_tag(data, TYPE_ALIAS) write_str(data, self._fullname) write_str(data, self.module) self.target.write(data) mypy.types.write_type_list(data, self.alias_tvars) write_bool(data, self.no_args) write_bool(data, self.normalized) write_bool(data, self.python_3_12_type_alias) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TypeAlias: fullname = read_str(data) module = read_str(data) target = mypy.types.read_type(data) alias_tvars = mypy.types.read_type_var_likes(data) ret = TypeAlias( target, fullname, module, -1, -1, alias_tvars=alias_tvars, no_args=read_bool(data), normalized=read_bool(data), python_3_12_type_alias=read_bool(data), ) assert read_tag(data) == END_TAG return ret class PlaceholderNode(SymbolNode): """Temporary symbol node that will later become a real SymbolNode. These are only present during semantic analysis when using the new semantic analyzer. These are created if some essential dependencies of a definition are not yet complete. A typical use is for names imported from a module which is still incomplete (within an import cycle): from m import f # Initially may create PlaceholderNode This is particularly important if the imported shadows a name from an enclosing scope or builtins: from m import int # Placeholder avoids mixups with builtins.int Another case where this is useful is when there is another definition or assignment: from m import f def f() -> None: ... In the above example, the presence of PlaceholderNode allows us to handle the second definition as a redefinition. They are also used to create PlaceholderType instances for types that refer to incomplete types. Example: class C(Sequence[C]): ... We create a PlaceholderNode (with becomes_typeinfo=True) for C so that the type C in Sequence[C] can be bound. Attributes: fullname: Full name of the PlaceholderNode. node: AST node that contains the definition that caused this to be created. This is useful for tracking order of incomplete definitions and for debugging. becomes_typeinfo: If True, this refers something that could later become a TypeInfo. It can't be used with type variables, in particular, as this would cause issues with class type variable detection. The long-term purpose of placeholder nodes/types is to evolve into something that can support general recursive types. """ __slots__ = ("_fullname", "node", "becomes_typeinfo") def __init__( self, fullname: str, node: Node, line: int, *, becomes_typeinfo: bool = False ) -> None: self._fullname = fullname self.node = node self.becomes_typeinfo = becomes_typeinfo self.line = line @property def name(self) -> str: return self._fullname.split(".")[-1] @property def fullname(self) -> str: return self._fullname def serialize(self) -> JsonDict: assert False, "PlaceholderNode can't be serialized" def accept(self, visitor: NodeVisitor[T]) -> T: return visitor.visit_placeholder_node(self) class SymbolTableNode: """Description of a name binding in a symbol table. These are only used as values in module (global), function (local) and class symbol tables (see SymbolTable). The name that is bound is the key in SymbolTable. Symbol tables don't contain direct references to AST nodes primarily because there can be multiple symbol table references to a single AST node (due to imports and aliases), and different references can behave differently. This class describes the unique properties of each reference. The most fundamental attribute is 'node', which is the AST node that the name refers to. The kind is usually one of LDEF, GDEF or MDEF, depending on the scope of the definition. These three kinds can usually be used interchangeably and the difference between local, global and class scopes is mostly descriptive, with no semantic significance. However, some tools that consume mypy ASTs may care about these so they should be correct. Attributes: node: AST node of definition. Among others, this can be one of FuncDef, Var, TypeInfo, TypeVarExpr or MypyFile -- or None for cross_ref that hasn't been fixed up yet. kind: Kind of node. Possible values: - LDEF: local definition - GDEF: global (module-level) definition - MDEF: class member definition - UNBOUND_IMPORTED: temporary kind for imported names (we don't know the final kind yet) module_public: If False, this name won't be imported via 'from import *'. This has no effect on names within classes. module_hidden: If True, the name will be never exported (needed for stub files) cross_ref: For deserialized MypyFile nodes, the referenced module name; for other nodes, optionally the name of the referenced object. implicit: Was this defined by assignment to self attribute? plugin_generated: Was this symbol generated by a plugin? (And therefore needs to be removed in aststrip.) no_serialize: Do not serialize this node if True. This is used to prevent keys in the cache that refer to modules on which this file does not depend. Currently this can happen if there is a module not in build used e.g. like this: import a.b.c # type: ignore This will add a submodule symbol to parent module `a` symbol table, but `a.b` is _not_ added as its dependency. Therefore, we should not serialize these symbols as they may not be found during fixup phase, instead they will be re-added during subsequent patch parents phase. TODO: Refactor build.py to make dependency tracking more transparent and/or refactor look-up functions to not require parent patching. NOTE: No other attributes should be added to this class unless they are shared by all node kinds. """ __slots__ = ( "kind", "node", "module_public", "module_hidden", "cross_ref", "implicit", "plugin_generated", "no_serialize", ) def __init__( self, kind: int, node: SymbolNode | None, module_public: bool = True, implicit: bool = False, module_hidden: bool = False, *, plugin_generated: bool = False, no_serialize: bool = False, ) -> None: self.kind = kind self.node = node self.module_public = module_public self.implicit = implicit self.module_hidden = module_hidden self.cross_ref: str | None = None self.plugin_generated = plugin_generated self.no_serialize = no_serialize @property def fullname(self) -> str | None: if self.node is not None: return self.node.fullname else: return None @property def type(self) -> mypy.types.Type | None: node = self.node if isinstance(node, (Var, SYMBOL_FUNCBASE_TYPES)) and node.type is not None: return node.type elif isinstance(node, Decorator): return node.var.type else: return None def copy(self) -> SymbolTableNode: new = SymbolTableNode( self.kind, self.node, self.module_public, self.implicit, self.module_hidden ) new.cross_ref = self.cross_ref return new def __str__(self) -> str: s = f"{node_kinds[self.kind]}/{short_type(self.node)}" if isinstance(self.node, SymbolNode): s += f" ({self.node.fullname})" # Include declared type of variables and functions. if self.type is not None: s += f" : {self.type}" if self.cross_ref: s += f" cross_ref:{self.cross_ref}" return s def serialize(self, prefix: str, name: str) -> JsonDict: """Serialize a SymbolTableNode. Args: prefix: full name of the containing module or class; or None name: name of this object relative to the containing object """ data: JsonDict = {".class": "SymbolTableNode", "kind": node_kinds[self.kind]} if self.module_hidden: data["module_hidden"] = True if not self.module_public: data["module_public"] = False if self.implicit: data["implicit"] = True if self.plugin_generated: data["plugin_generated"] = True if isinstance(self.node, MypyFile): data["cross_ref"] = self.node.fullname else: assert self.node is not None, f"{prefix}:{name}" if prefix is not None: fullname = self.node.fullname if ( "." in fullname and fullname != prefix + "." + name and not (isinstance(self.node, Var) and self.node.from_module_getattr) ): assert not isinstance( self.node, PlaceholderNode ), f"Definition of {fullname} is unexpectedly incomplete" data["cross_ref"] = fullname return data data["node"] = self.node.serialize() return data @classmethod def deserialize(cls, data: JsonDict) -> SymbolTableNode: assert data[".class"] == "SymbolTableNode" kind = inverse_node_kinds[data["kind"]] if "cross_ref" in data: # This will be fixed up later. stnode = SymbolTableNode(kind, None) stnode.cross_ref = data["cross_ref"] else: assert "node" in data, data node = SymbolNode.deserialize(data["node"]) stnode = SymbolTableNode(kind, node) if "module_hidden" in data: stnode.module_hidden = data["module_hidden"] if "module_public" in data: stnode.module_public = data["module_public"] if "implicit" in data: stnode.implicit = data["implicit"] if "plugin_generated" in data: stnode.plugin_generated = data["plugin_generated"] return stnode def write(self, data: WriteBuffer, prefix: str, name: str) -> None: write_tag(data, SYMBOL_TABLE_NODE) write_int(data, self.kind) write_bool(data, self.module_hidden) write_bool(data, self.module_public) write_bool(data, self.implicit) write_bool(data, self.plugin_generated) cross_ref = None if isinstance(self.node, MypyFile): cross_ref = self.node.fullname else: assert self.node is not None, f"{prefix}:{name}" if prefix is not None: fullname = self.node.fullname if ( "." in fullname and fullname != prefix + "." + name and not (isinstance(self.node, Var) and self.node.from_module_getattr) ): assert not isinstance( self.node, PlaceholderNode ), f"Definition of {fullname} is unexpectedly incomplete" cross_ref = fullname write_str_opt(data, cross_ref) if cross_ref is None: assert self.node is not None self.node.write(data) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> SymbolTableNode: assert read_tag(data) == SYMBOL_TABLE_NODE sym = SymbolTableNode(read_int(data), None) sym.module_hidden = read_bool(data) sym.module_public = read_bool(data) sym.implicit = read_bool(data) sym.plugin_generated = read_bool(data) cross_ref = read_str_opt(data) if cross_ref is None: sym.node = read_symbol(data) else: sym.cross_ref = cross_ref assert read_tag(data) == END_TAG return sym class SymbolTable(dict[str, SymbolTableNode]): """Static representation of a namespace dictionary. This is used for module, class and function namespaces. """ __slots__ = () def __str__(self) -> str: a: list[str] = [] for key, value in self.items(): # Filter out the implicit import of builtins. if isinstance(value, SymbolTableNode): if ( value.fullname != "builtins" and (value.fullname or "").split(".")[-1] not in implicit_module_attrs ): a.append(" " + str(key) + " : " + str(value)) else: # Used in debugging: a.append(" ") # type: ignore[unreachable] a = sorted(a) a.insert(0, "SymbolTable(") a[-1] += ")" return "\n".join(a) def copy(self) -> SymbolTable: return SymbolTable([(key, node.copy()) for key, node in self.items()]) def serialize(self, fullname: str) -> JsonDict: data: JsonDict = {".class": "SymbolTable"} for key, value in self.items(): # Skip __builtins__: it's a reference to the builtins # module that gets added to every module by # SemanticAnalyzerPass2.visit_file(), but it shouldn't be # accessed by users of the module. if key == "__builtins__" or value.no_serialize: continue data[key] = value.serialize(fullname, key) return data @classmethod def deserialize(cls, data: JsonDict) -> SymbolTable: assert data[".class"] == "SymbolTable" st = SymbolTable() for key, value in data.items(): if key != ".class": st[key] = SymbolTableNode.deserialize(value) return st def write(self, data: WriteBuffer, fullname: str) -> None: size = 0 for key, value in self.items(): # Skip __builtins__: it's a reference to the builtins # module that gets added to every module by # SemanticAnalyzerPass2.visit_file(), but it shouldn't be # accessed by users of the module. if key == "__builtins__" or value.no_serialize: continue size += 1 # We intentionally tag SymbolTable as a simple dictionary str -> SymbolTableNode. write_tag(data, DICT_STR_GEN) write_int_bare(data, size) for key in sorted(self): value = self[key] if key == "__builtins__" or value.no_serialize: continue write_str_bare(data, key) value.write(data, fullname, key) @classmethod def read(cls, data: ReadBuffer) -> SymbolTable: assert read_tag(data) == DICT_STR_GEN size = read_int_bare(data) return SymbolTable( [(read_str_bare(data), SymbolTableNode.read(data)) for _ in range(size)] ) class DataclassTransformSpec: """Specifies how a dataclass-like transform should be applied. The fields here are based on the parameters accepted by `typing.dataclass_transform`.""" __slots__ = ( "eq_default", "order_default", "kw_only_default", "frozen_default", "field_specifiers", ) def __init__( self, *, eq_default: bool | None = None, order_default: bool | None = None, kw_only_default: bool | None = None, field_specifiers: tuple[str, ...] | None = None, # Specified outside of PEP 681: # frozen_default was added to CPythonin https://github.com/python/cpython/pull/99958 citing # positive discussion in typing-sig frozen_default: bool | None = None, ) -> None: self.eq_default = eq_default if eq_default is not None else True self.order_default = order_default if order_default is not None else False self.kw_only_default = kw_only_default if kw_only_default is not None else False self.frozen_default = frozen_default if frozen_default is not None else False self.field_specifiers = field_specifiers if field_specifiers is not None else () def serialize(self) -> JsonDict: return { "eq_default": self.eq_default, "order_default": self.order_default, "kw_only_default": self.kw_only_default, "frozen_default": self.frozen_default, "field_specifiers": list(self.field_specifiers), } @classmethod def deserialize(cls, data: JsonDict) -> DataclassTransformSpec: return DataclassTransformSpec( eq_default=data.get("eq_default"), order_default=data.get("order_default"), kw_only_default=data.get("kw_only_default"), frozen_default=data.get("frozen_default"), field_specifiers=tuple(data.get("field_specifiers", [])), ) def write(self, data: WriteBuffer) -> None: write_tag(data, DT_SPEC) write_bool(data, self.eq_default) write_bool(data, self.order_default) write_bool(data, self.kw_only_default) write_bool(data, self.frozen_default) write_str_list(data, self.field_specifiers) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> DataclassTransformSpec: ret = DataclassTransformSpec( eq_default=read_bool(data), order_default=read_bool(data), kw_only_default=read_bool(data), frozen_default=read_bool(data), field_specifiers=tuple(read_str_list(data)), ) assert read_tag(data) == END_TAG return ret def get_flags(node: Node, names: list[str]) -> list[str]: return [name for name in names if getattr(node, name)] def set_flags(node: Node, flags: list[str]) -> None: for name in flags: setattr(node, name, True) def write_flags(data: WriteBuffer, node: SymbolNode, flags: list[str]) -> None: for flag in flags: write_bool(data, getattr(node, flag)) def read_flags(data: ReadBuffer, node: SymbolNode, flags: list[str]) -> None: for flag in flags: if read_bool(data): setattr(node, flag, True) def get_member_expr_fullname(expr: MemberExpr) -> str | None: """Return the qualified name representation of a member expression. Return a string of form foo.bar, foo.bar.baz, or similar, or None if the argument cannot be represented in this form. """ initial: str | None = None if isinstance(expr.expr, NameExpr): initial = expr.expr.name elif isinstance(expr.expr, MemberExpr): initial = get_member_expr_fullname(expr.expr) if initial is None: return None return f"{initial}.{expr.name}" deserialize_map: Final = { key: obj.deserialize for key, obj in globals().items() if type(obj) is not FakeInfo and isinstance(obj, type) and issubclass(obj, SymbolNode) and obj is not SymbolNode } def check_arg_kinds( arg_kinds: list[ArgKind], nodes: list[T], fail: Callable[[str, T], None] ) -> None: is_var_arg = False is_kw_arg = False seen_named = False seen_opt = False for kind, node in zip(arg_kinds, nodes): if kind == ARG_POS: if is_var_arg or is_kw_arg or seen_named or seen_opt: fail( "Required positional args may not appear after default, named or var args", node, ) break elif kind == ARG_OPT: if is_var_arg or is_kw_arg or seen_named: fail("Positional default args may not appear after named or var args", node) break seen_opt = True elif kind == ARG_STAR: if is_var_arg or is_kw_arg or seen_named: fail("Var args may not appear after named or var args", node) break is_var_arg = True elif kind == ARG_NAMED or kind == ARG_NAMED_OPT: seen_named = True if is_kw_arg: fail("A **kwargs argument must be the last argument", node) break elif kind == ARG_STAR2: if is_kw_arg: fail("You may only have one **kwargs argument", node) break is_kw_arg = True def check_arg_names( names: Sequence[str | None], nodes: list[T], fail: Callable[[str, T], None], description: str = "function definition", ) -> None: seen_names: set[str | None] = set() for name, node in zip(names, nodes): if name is not None and name in seen_names: fail(f'Duplicate argument "{name}" in {description}', node) break seen_names.add(name) def is_class_var(expr: NameExpr) -> bool: """Return whether the expression is ClassVar[...]""" if isinstance(expr.node, Var): return expr.node.is_classvar return False def is_final_node(node: SymbolNode | None) -> bool: """Check whether `node` corresponds to a final attribute.""" return isinstance(node, (Var, FuncDef, OverloadedFuncDef, Decorator)) and node.is_final def get_func_def(typ: mypy.types.CallableType) -> SymbolNode | None: definition = typ.definition if isinstance(definition, Decorator): definition = definition.func return definition def local_definitions( names: SymbolTable, name_prefix: str, info: TypeInfo | None = None ) -> Iterator[Definition]: """Iterate over local definitions (not imported) in a symbol table. Recursively iterate over class members and nested classes. """ # TODO: What should the name be? Or maybe remove it? for name, symnode in names.items(): shortname = name if "-redef" in name: # Restore original name from mangled name of multiply defined function shortname = name.split("-redef")[0] fullname = name_prefix + "." + shortname node = symnode.node if node and node.fullname == fullname: yield fullname, symnode, info if isinstance(node, TypeInfo): yield from local_definitions(node.names, fullname, node) # See docstring for mypy/cache.py for reserved tag ranges. MYPY_FILE: Final[Tag] = 50 OVERLOADED_FUNC_DEF: Final[Tag] = 51 FUNC_DEF: Final[Tag] = 52 DECORATOR: Final[Tag] = 53 VAR: Final[Tag] = 54 TYPE_VAR_EXPR: Final[Tag] = 55 PARAM_SPEC_EXPR: Final[Tag] = 56 TYPE_VAR_TUPLE_EXPR: Final[Tag] = 57 TYPE_INFO: Final[Tag] = 58 TYPE_ALIAS: Final[Tag] = 59 CLASS_DEF: Final[Tag] = 60 SYMBOL_TABLE_NODE: Final[Tag] = 61 def read_symbol(data: ReadBuffer) -> SymbolNode: tag = read_tag(data) # The branches here are ordered manually by type "popularity". if tag == VAR: return Var.read(data) if tag == FUNC_DEF: return FuncDef.read(data) if tag == DECORATOR: return Decorator.read(data) if tag == TYPE_INFO: return TypeInfo.read(data) if tag == OVERLOADED_FUNC_DEF: return OverloadedFuncDef.read(data) if tag == TYPE_VAR_EXPR: return TypeVarExpr.read(data) if tag == TYPE_ALIAS: return TypeAlias.read(data) if tag == PARAM_SPEC_EXPR: return ParamSpecExpr.read(data) if tag == TYPE_VAR_TUPLE_EXPR: return TypeVarTupleExpr.read(data) assert False, f"Unknown symbol tag {tag}" def read_overload_part(data: ReadBuffer, tag: Tag | None = None) -> OverloadPart: if tag is None: tag = read_tag(data) if tag == DECORATOR: return Decorator.read(data) if tag == FUNC_DEF: return FuncDef.read(data) assert False, f"Invalid tag for an OverloadPart {tag}" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/operators.py0000644000175100017510000000546215112307767015654 0ustar00runnerrunner"""Information about Python operators""" from __future__ import annotations from typing import Final # Map from binary operator id to related method name (in Python 3). op_methods: Final = { "+": "__add__", "-": "__sub__", "*": "__mul__", "/": "__truediv__", "%": "__mod__", "divmod": "__divmod__", "//": "__floordiv__", "**": "__pow__", "@": "__matmul__", "&": "__and__", "|": "__or__", "^": "__xor__", "<<": "__lshift__", ">>": "__rshift__", "==": "__eq__", "!=": "__ne__", "<": "__lt__", ">=": "__ge__", ">": "__gt__", "<=": "__le__", "in": "__contains__", } op_methods_to_symbols: Final = {v: k for (k, v) in op_methods.items()} ops_falling_back_to_cmp: Final = {"__ne__", "__eq__", "__lt__", "__le__", "__gt__", "__ge__"} ops_with_inplace_method: Final = { "+", "-", "*", "/", "%", "//", "**", "@", "&", "|", "^", "<<", ">>", } inplace_operator_methods: Final = {"__i" + op_methods[op][2:] for op in ops_with_inplace_method} reverse_op_methods: Final = { "__add__": "__radd__", "__sub__": "__rsub__", "__mul__": "__rmul__", "__truediv__": "__rtruediv__", "__mod__": "__rmod__", "__divmod__": "__rdivmod__", "__floordiv__": "__rfloordiv__", "__pow__": "__rpow__", "__matmul__": "__rmatmul__", "__and__": "__rand__", "__or__": "__ror__", "__xor__": "__rxor__", "__lshift__": "__rlshift__", "__rshift__": "__rrshift__", "__eq__": "__eq__", "__ne__": "__ne__", "__lt__": "__gt__", "__ge__": "__le__", "__gt__": "__lt__", "__le__": "__ge__", } reverse_op_method_names: Final = set(reverse_op_methods.values()) # Suppose we have some class A. When we do A() + A(), Python will only check # the output of A().__add__(A()) and skip calling the __radd__ method entirely. # This shortcut is used only for the following methods: op_methods_that_shortcut: Final = { "__add__", "__sub__", "__mul__", "__truediv__", "__mod__", "__divmod__", "__floordiv__", "__pow__", "__matmul__", "__and__", "__or__", "__xor__", "__lshift__", "__rshift__", } normal_from_reverse_op: Final = {m: n for n, m in reverse_op_methods.items()} reverse_op_method_set: Final = set(reverse_op_methods.values()) unary_op_methods: Final = {"-": "__neg__", "+": "__pos__", "~": "__invert__"} int_op_to_method: Final = { "==": int.__eq__, "is": int.__eq__, "<": int.__lt__, "<=": int.__le__, "!=": int.__ne__, "is not": int.__ne__, ">": int.__gt__, ">=": int.__ge__, } flip_ops: Final = {"<": ">", "<=": ">=", ">": "<", ">=": "<="} neg_ops: Final = { "==": "!=", "!=": "==", "is": "is not", "is not": "is", "<": ">=", "<=": ">", ">": "<=", ">=": "<", } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/options.py0000644000175100017510000006314315112307767015331 0ustar00runnerrunnerfrom __future__ import annotations import pprint import re import sys import sysconfig import warnings from re import Pattern from typing import Any, Callable, Final from mypy import defaults from mypy.errorcodes import ErrorCode, error_codes from mypy.util import get_class_descriptors, replace_object_state class BuildType: STANDARD: Final = 0 MODULE: Final = 1 PROGRAM_TEXT: Final = 2 PER_MODULE_OPTIONS: Final = { # Please keep this list sorted "allow_redefinition", "allow_redefinition_new", "allow_untyped_globals", "always_false", "always_true", "check_untyped_defs", "debug_cache", "disable_error_code", "disabled_error_codes", "disallow_any_decorated", "disallow_any_explicit", "disallow_any_expr", "disallow_any_generics", "disallow_any_unimported", "disallow_incomplete_defs", "disallow_subclassing_any", "disallow_untyped_calls", "disallow_untyped_decorators", "disallow_untyped_defs", "enable_error_code", "enabled_error_codes", "extra_checks", "follow_imports_for_stubs", "follow_imports", "follow_untyped_imports", "ignore_errors", "ignore_missing_imports", "implicit_optional", "implicit_reexport", "local_partial_types", "mypyc", "strict_concatenate", "strict_equality", "strict_equality_for_none", "strict_optional", "warn_no_return", "warn_return_any", "warn_unreachable", "warn_unused_ignores", } OPTIONS_AFFECTING_CACHE: Final = ( PER_MODULE_OPTIONS | { "platform", "bazel", "old_type_inference", "plugins", "disable_bytearray_promotion", "disable_memoryview_promotion", "strict_bytes", "fixed_format_cache", "untyped_calls_exclude", } ) - {"debug_cache"} # Features that are currently (or were recently) incomplete/experimental TYPE_VAR_TUPLE: Final = "TypeVarTuple" UNPACK: Final = "Unpack" PRECISE_TUPLE_TYPES: Final = "PreciseTupleTypes" NEW_GENERIC_SYNTAX: Final = "NewGenericSyntax" INLINE_TYPEDDICT: Final = "InlineTypedDict" TYPE_FORM: Final = "TypeForm" INCOMPLETE_FEATURES: Final = frozenset((PRECISE_TUPLE_TYPES, INLINE_TYPEDDICT, TYPE_FORM)) COMPLETE_FEATURES: Final = frozenset((TYPE_VAR_TUPLE, UNPACK, NEW_GENERIC_SYNTAX)) class Options: """Options collected from flags.""" def __init__(self) -> None: # Cache for clone_for_module() self._per_module_cache: dict[str, Options] | None = None # -- build options -- self.build_type = BuildType.STANDARD self.python_version: tuple[int, int] = sys.version_info[:2] # The executable used to search for PEP 561 packages. If this is None, # then mypy does not search for PEP 561 packages. self.python_executable: str | None = sys.executable # When cross compiling to emscripten, we need to rely on MACHDEP because # sys.platform is the host build platform, not emscripten. MACHDEP = sysconfig.get_config_var("MACHDEP") if MACHDEP == "emscripten": self.platform = MACHDEP else: self.platform = sys.platform self.custom_typing_module: str | None = None self.custom_typeshed_dir: str | None = None # The abspath() version of the above, we compute it once as an optimization. self.abs_custom_typeshed_dir: str | None = None self.mypy_path: list[str] = [] self.report_dirs: dict[str, str] = {} # Show errors in PEP 561 packages/site-packages modules self.no_silence_site_packages = False self.no_site_packages = False self.ignore_missing_imports = False # Is ignore_missing_imports set in a per-module section self.ignore_missing_imports_per_module = False # Typecheck modules without stubs or py.typed marker self.follow_untyped_imports = False self.follow_imports = "normal" # normal|silent|skip|error # Whether to respect the follow_imports setting even for stub files. # Intended to be used for disabling specific stubs. self.follow_imports_for_stubs = False # PEP 420 namespace packages # This allows definitions of packages without __init__.py and allows packages to span # multiple directories. This flag affects both import discovery and the association of # input files/modules/packages to the relevant file and fully qualified module name. self.namespace_packages = True # Use current directory and MYPYPATH to determine fully qualified module names of files # passed by automatically considering their subdirectories as packages. This is only # relevant if namespace packages are enabled, since otherwise examining __init__.py's is # sufficient to determine module names for files. As a possible alternative, add a single # top-level __init__.py to your packages. self.explicit_package_bases = False # File names, directory names or subpaths to avoid checking self.exclude: list[str] = [] self.exclude_gitignore: bool = False # disallow_any options self.disallow_any_generics = False self.disallow_any_unimported = False self.disallow_any_expr = False self.disallow_any_decorated = False self.disallow_any_explicit = False # Disallow calling untyped functions from typed ones self.disallow_untyped_calls = False # Always allow untyped calls for function coming from modules/packages # in this list (each item effectively acts as a prefix match) self.untyped_calls_exclude: list[str] = [] # Disallow defining untyped (or incompletely typed) functions self.disallow_untyped_defs = False # Disallow defining incompletely typed functions self.disallow_incomplete_defs = False # Type check unannotated functions self.check_untyped_defs = False # Disallow decorating typed functions with untyped decorators self.disallow_untyped_decorators = False # Disallow subclassing values of type 'Any' self.disallow_subclassing_any = False # Also check typeshed for missing annotations self.warn_incomplete_stub = False # Warn about casting an expression to its inferred type self.warn_redundant_casts = False # Warn about falling off the end of a function returning non-None self.warn_no_return = True # Warn about returning objects of type Any when the function is # declared with a precise type self.warn_return_any = False # Report importing or using deprecated features as errors instead of notes. self.report_deprecated_as_note = False # Allow deprecated calls from function coming from modules/packages # in this list (each item effectively acts as a prefix match) self.deprecated_calls_exclude: list[str] = [] # Warn about unused '# type: ignore' comments self.warn_unused_ignores = False # Warn about unused '[mypy-]' or '[[tool.mypy.overrides]]' config sections self.warn_unused_configs = False # Files in which to ignore all non-fatal errors self.ignore_errors = False # Apply strict None checking self.strict_optional = True # Show "note: In function "foo":" messages. self.show_error_context = False # Use nicer output (when possible). self.color_output = True self.error_summary = True # Assume arguments with default values of None are Optional self.implicit_optional = False # Don't re-export names unless they are imported with `from ... as ...` self.implicit_reexport = True # Suppress toplevel errors caused by missing annotations self.allow_untyped_globals = False # Allow variable to be redefined with an arbitrary type in the same block # and the same nesting level as the initialization self.allow_redefinition = False # Allow flexible variable redefinition with an arbitrary type, in different # blocks and and at different nesting levels self.allow_redefinition_new = False # Prohibit equality, identity, and container checks for non-overlapping types. # This makes 1 == '1', 1 in ['1'], and 1 is '1' errors. self.strict_equality = False # Extend the logic of `strict_equality` to comparisons with `None`. self.strict_equality_for_none = False # Disable treating bytearray and memoryview as subtypes of bytes self.strict_bytes = False # Deprecated, use extra_checks instead. self.strict_concatenate = False # Enable additional checks that are technically correct but impractical. self.extra_checks = False # Report an error for any branches inferred to be unreachable as a result of # type analysis. self.warn_unreachable = False # Variable names considered True self.always_true: list[str] = [] # Variable names considered False self.always_false: list[str] = [] # Error codes to disable self.disable_error_code: list[str] = [] self.disabled_error_codes: set[ErrorCode] = set() # Error codes to enable self.enable_error_code: list[str] = [] self.enabled_error_codes: set[ErrorCode] = set() # Use script name instead of __main__ self.scripts_are_modules = False # Config file name self.config_file: str | None = None # A filename containing a JSON mapping from filenames to # mtime/size/hash arrays, used to avoid having to recalculate # source hashes as often. self.quickstart_file: str | None = None # A comma-separated list of files/directories for mypy to type check; # supports globbing self.files: list[str] | None = None # A list of packages for mypy to type check self.packages: list[str] | None = None # A list of modules for mypy to type check self.modules: list[str] | None = None # Write junit.xml to given file self.junit_xml: str | None = None self.junit_format: str = "global" # global|per_file # Caching and incremental checking options self.incremental = True self.cache_dir = defaults.CACHE_DIR self.sqlite_cache = False self.fixed_format_cache = False self.debug_cache = False self.skip_version_check = False self.skip_cache_mtime_checks = False self.fine_grained_incremental = False # Include fine-grained dependencies in written cache files self.cache_fine_grained = False # Read cache files in fine-grained incremental mode (cache must include dependencies) self.use_fine_grained_cache = False # Run tree.serialize() even if cache generation is disabled self.debug_serialize = False # Tune certain behaviors when being used as a front-end to mypyc. Set per-module # in modules being compiled. Not in the config file or command line. self.mypyc = False # An internal flag to modify some type-checking logic while # running inspections (e.g. don't expand function definitions). # Not in the config file or command line. self.inspections = False # Disable the memory optimization of freeing ASTs when # possible. This isn't exposed as a command line option # because it is intended for software integrating with # mypy. (Like mypyc.) self.preserve_asts = False # If True, function and class docstrings will be extracted and retained. # This isn't exposed as a command line option # because it is intended for software integrating with # mypy. (Like stubgen.) self.include_docstrings = False # Paths of user plugins self.plugins: list[str] = [] # Per-module options (raw) self.per_module_options: dict[str, dict[str, object]] = {} self._glob_options: list[tuple[str, Pattern[str]]] = [] self.unused_configs: set[str] = set() # -- development options -- self.verbosity = 0 # More verbose messages (for troubleshooting) self.pdb = False self.show_traceback = False self.raise_exceptions = False self.dump_type_stats = False self.dump_inference_stats = False self.dump_build_stats = False self.enable_incomplete_feature: list[str] = [] self.timing_stats: str | None = None self.line_checking_stats: str | None = None # -- test options -- # Stop after the semantic analysis phase self.semantic_analysis_only = False # Use stub builtins fixtures to speed up tests self.use_builtins_fixtures = False # This should only be set when running certain mypy tests. # Use this sparingly to avoid tests diverging from non-test behavior. self.test_env = False # -- experimental options -- self.shadow_file: list[list[str]] | None = None self.show_column_numbers: bool = False self.show_error_end: bool = False self.hide_error_codes = False self.show_error_code_links = False # Use soft word wrap and show trimmed source snippets with error location markers. self.pretty = False self.dump_graph = False self.dump_deps = False self.logical_deps = False # If True, partial types can't span a module top level and a function self.local_partial_types = False # Some behaviors are changed when using Bazel (https://bazel.build). self.bazel = False # If True, export inferred types for all expressions as BuildResult.types self.export_types = False # List of package roots -- directories under these are packages even # if they don't have __init__.py. self.package_root: list[str] = [] self.cache_map: dict[str, tuple[str, str]] = {} # Don't properly free objects on exit, just kill the current process. self.fast_exit = True # fast path for finding modules from source set self.fast_module_lookup = False # Allow empty function bodies even if it is not safe, used for testing only. self.allow_empty_bodies = False # Used to transform source code before parsing if not None # TODO: Make the type precise (AnyStr -> AnyStr) self.transform_source: Callable[[Any], Any] | None = None # Print full path to each file in the report. self.show_absolute_path: bool = False # Install missing stub packages if True self.install_types = False # Install missing stub packages in non-interactive mode (don't prompt for # confirmation, and don't show any errors) self.non_interactive = False # When we encounter errors that may cause many additional errors, # skip most errors after this many messages have been reported. # -1 means unlimited. self.many_errors_threshold = defaults.MANY_ERRORS_THRESHOLD # Disable new type inference algorithm. self.old_type_inference = False # Disable expression cache (for debugging). self.disable_expression_cache = False # Export line-level, limited, fine-grained dependency information in cache data # (undocumented feature). self.export_ref_info = False self.disable_bytearray_promotion = False self.disable_memoryview_promotion = False # Deprecated, Mypy only supports Python 3.9+ self.force_uppercase_builtins = False self.force_union_syntax = False # Sets custom output format self.output: str | None = None # Output html file for mypyc -a self.mypyc_annotation_file: str | None = None # Skip writing C output files, but perform all other steps of a build (allows # preserving manual tweaks to generated C file) self.mypyc_skip_c_generation = False def use_lowercase_names(self) -> bool: warnings.warn( "options.use_lowercase_names() is deprecated and will be removed in a future version", DeprecationWarning, stacklevel=2, ) return True def use_or_syntax(self) -> bool: if self.python_version >= (3, 10): return not self.force_union_syntax return False def use_star_unpack(self) -> bool: return self.python_version >= (3, 11) def snapshot(self) -> dict[str, object]: """Produce a comparable snapshot of this Option""" # Under mypyc, we don't have a __dict__, so we need to do worse things. d = dict(getattr(self, "__dict__", ())) for k in get_class_descriptors(Options): if hasattr(self, k): d[k] = getattr(self, k) # Remove private attributes from snapshot d = {k: v for k, v in d.items() if not k.startswith("_")} return d def __repr__(self) -> str: return f"Options({pprint.pformat(self.snapshot())})" def process_error_codes(self, *, error_callback: Callable[[str], Any]) -> None: # Process `--enable-error-code` and `--disable-error-code` flags disabled_codes = set(self.disable_error_code) enabled_codes = set(self.enable_error_code) valid_error_codes = set(error_codes.keys()) invalid_codes = (enabled_codes | disabled_codes) - valid_error_codes if invalid_codes: error_callback(f"Invalid error code(s): {', '.join(sorted(invalid_codes))}") self.disabled_error_codes |= {error_codes[code] for code in disabled_codes} self.enabled_error_codes |= {error_codes[code] for code in enabled_codes} # Enabling an error code always overrides disabling self.disabled_error_codes -= self.enabled_error_codes def process_incomplete_features( self, *, error_callback: Callable[[str], Any], warning_callback: Callable[[str], Any] ) -> None: # Validate incomplete features. for feature in self.enable_incomplete_feature: if feature not in INCOMPLETE_FEATURES | COMPLETE_FEATURES: error_callback(f"Unknown incomplete feature: {feature}") if feature in COMPLETE_FEATURES: warning_callback(f"Warning: {feature} is already enabled by default") def process_strict_bytes(self) -> None: # Sync `--strict-bytes` and `--disable-{bytearray,memoryview}-promotion` if self.strict_bytes: # backwards compatibility self.disable_bytearray_promotion = True self.disable_memoryview_promotion = True elif self.disable_bytearray_promotion and self.disable_memoryview_promotion: # forwards compatibility self.strict_bytes = True def apply_changes(self, changes: dict[str, object]) -> Options: # Note: effects of this method *must* be idempotent. new_options = Options() # Under mypyc, we don't have a __dict__, so we need to do worse things. replace_object_state(new_options, self, copy_dict=True) for key, value in changes.items(): setattr(new_options, key, value) if changes.get("ignore_missing_imports"): # This is the only option for which a per-module and a global # option sometimes beheave differently. new_options.ignore_missing_imports_per_module = True # These two act as overrides, so apply them when cloning. # Similar to global codes enabling overrides disabling, so we start from latter. new_options.disabled_error_codes = self.disabled_error_codes.copy() new_options.enabled_error_codes = self.enabled_error_codes.copy() for code_str in new_options.disable_error_code: code = error_codes[code_str] new_options.disabled_error_codes.add(code) new_options.enabled_error_codes.discard(code) for code_str in new_options.enable_error_code: code = error_codes[code_str] new_options.enabled_error_codes.add(code) new_options.disabled_error_codes.discard(code) return new_options def compare_stable(self, other_snapshot: dict[str, object]) -> bool: """Compare options in a way that is stable for snapshot() -> apply_changes() roundtrip. This is needed because apply_changes() has non-trivial effects for some flags, so Options().apply_changes(options.snapshot()) may result in a (slightly) different object. """ return ( Options().apply_changes(self.snapshot()).snapshot() == Options().apply_changes(other_snapshot).snapshot() ) def build_per_module_cache(self) -> None: self._per_module_cache = {} # Config precedence is as follows: # 1. Concrete section names: foo.bar.baz # 2. "Unstructured" glob patterns: foo.*.baz, in the order # they appear in the file (last wins) # 3. "Well-structured" wildcard patterns: foo.bar.*, in specificity order. # Since structured configs inherit from structured configs above them in the hierarchy, # we need to process per-module configs in a careful order. # We have to process foo.* before foo.bar.* before foo.bar, # and we need to apply *.bar to foo.bar but not to foo.bar.*. # To do this, process all well-structured glob configs before non-glob configs and # exploit the fact that foo.* sorts earlier ASCIIbetically (unicodebetically?) # than foo.bar.*. # (A section being "processed last" results in its config "winning".) # Unstructured glob configs are stored and are all checked for each module. unstructured_glob_keys = [k for k in self.per_module_options.keys() if "*" in k[:-1]] structured_keys = [k for k in self.per_module_options.keys() if "*" not in k[:-1]] wildcards = sorted(k for k in structured_keys if k.endswith(".*")) concrete = [k for k in structured_keys if not k.endswith(".*")] for glob in unstructured_glob_keys: self._glob_options.append((glob, self.compile_glob(glob))) # We (for ease of implementation) treat unstructured glob # sections as used if any real modules use them or if any # concrete config sections use them. This means we need to # track which get used while constructing. self.unused_configs = set(unstructured_glob_keys) for key in wildcards + concrete: # Find what the options for this key would be, just based # on inheriting from parent configs. options = self.clone_for_module(key) # And then update it with its per-module options. self._per_module_cache[key] = options.apply_changes(self.per_module_options[key]) # Add the more structured sections into unused configs, since # they only count as used if actually used by a real module. self.unused_configs.update(structured_keys) def clone_for_module(self, module: str) -> Options: """Create an Options object that incorporates per-module options. NOTE: Once this method is called all Options objects should be considered read-only, else the caching might be incorrect. """ if self._per_module_cache is None: self.build_per_module_cache() assert self._per_module_cache is not None # If the module just directly has a config entry, use it. if module in self._per_module_cache: self.unused_configs.discard(module) return self._per_module_cache[module] # If not, search for glob paths at all the parents. So if we are looking for # options for foo.bar.baz, we search foo.bar.baz.*, foo.bar.*, foo.*, # in that order, looking for an entry. # This is technically quadratic in the length of the path, but module paths # don't actually get all that long. options = self path = module.split(".") for i in range(len(path), 0, -1): key = ".".join(path[:i] + ["*"]) if key in self._per_module_cache: self.unused_configs.discard(key) options = self._per_module_cache[key] break # OK and *now* we need to look for unstructured glob matches. # We only do this for concrete modules, not structured wildcards. if not module.endswith(".*"): for key, pattern in self._glob_options: if pattern.match(module): self.unused_configs.discard(key) options = options.apply_changes(self.per_module_options[key]) # We could update the cache to directly point to modules once # they have been looked up, but in testing this made things # slower and not faster, so we don't bother. return options def compile_glob(self, s: str) -> Pattern[str]: # Compile one of the glob patterns to a regex so that '.*' can # match *zero or more* module sections. This means we compile # '.*' into '(\..*)?'. parts = s.split(".") expr = re.escape(parts[0]) if parts[0] != "*" else ".*" for part in parts[1:]: expr += re.escape("." + part) if part != "*" else r"(\..*)?" return re.compile(expr + "\\Z") def select_options_affecting_cache(self) -> dict[str, object]: result: dict[str, object] = {} for opt in OPTIONS_AFFECTING_CACHE: val = getattr(self, opt) if opt in ("disabled_error_codes", "enabled_error_codes"): val = sorted([code.code for code in val]) result[opt] = val return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/parse.py0000644000175100017510000000162115112307767014741 0ustar00runnerrunnerfrom __future__ import annotations from mypy.errors import Errors from mypy.nodes import MypyFile from mypy.options import Options def parse( source: str | bytes, fnam: str, module: str | None, errors: Errors, options: Options, raise_on_error: bool = False, ) -> MypyFile: """Parse a source file, without doing any semantic analysis. Return the parse tree. If errors is not provided, raise ParseError on failure. Otherwise, use the errors object to report parse errors. The python_version (major, minor) option determines the Python syntax variant. """ if options.transform_source is not None: source = options.transform_source(source) import mypy.fastparse tree = mypy.fastparse.parse(source, fnam=fnam, module=module, errors=errors, options=options) if raise_on_error and errors.is_errors(): errors.raise_error() return tree ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/partially_defined.py0000644000175100017510000006201115112307767017306 0ustar00runnerrunnerfrom __future__ import annotations from enum import Enum from mypy import checker, errorcodes from mypy.messages import MessageBuilder from mypy.nodes import ( AssertStmt, AssignmentExpr, AssignmentStmt, BreakStmt, ClassDef, Context, ContinueStmt, DictionaryComprehension, Expression, ExpressionStmt, ForStmt, FuncDef, FuncItem, GeneratorExpr, GlobalDecl, IfStmt, Import, ImportFrom, LambdaExpr, ListExpr, Lvalue, MatchStmt, MypyFile, NameExpr, NonlocalDecl, RaiseStmt, ReturnStmt, StarExpr, SymbolTable, TryStmt, TupleExpr, TypeAliasStmt, WhileStmt, WithStmt, implicit_module_attrs, ) from mypy.options import Options from mypy.patterns import AsPattern, StarredPattern from mypy.reachability import ALWAYS_TRUE, infer_pattern_value from mypy.traverser import ExtendedTraverserVisitor from mypy.types import Type, UninhabitedType, get_proper_type class BranchState: """BranchState contains information about variable definition at the end of a branching statement. `if` and `match` are examples of branching statements. `may_be_defined` contains variables that were defined in only some branches. `must_be_defined` contains variables that were defined in all branches. """ def __init__( self, must_be_defined: set[str] | None = None, may_be_defined: set[str] | None = None, skipped: bool = False, ) -> None: if may_be_defined is None: may_be_defined = set() if must_be_defined is None: must_be_defined = set() self.may_be_defined = set(may_be_defined) self.must_be_defined = set(must_be_defined) self.skipped = skipped def copy(self) -> BranchState: return BranchState( must_be_defined=set(self.must_be_defined), may_be_defined=set(self.may_be_defined), skipped=self.skipped, ) class BranchStatement: def __init__(self, initial_state: BranchState | None = None) -> None: if initial_state is None: initial_state = BranchState() self.initial_state = initial_state self.branches: list[BranchState] = [ BranchState( must_be_defined=self.initial_state.must_be_defined, may_be_defined=self.initial_state.may_be_defined, ) ] def copy(self) -> BranchStatement: result = BranchStatement(self.initial_state) result.branches = [b.copy() for b in self.branches] return result def next_branch(self) -> None: self.branches.append( BranchState( must_be_defined=self.initial_state.must_be_defined, may_be_defined=self.initial_state.may_be_defined, ) ) def record_definition(self, name: str) -> None: assert len(self.branches) > 0 self.branches[-1].must_be_defined.add(name) self.branches[-1].may_be_defined.discard(name) def delete_var(self, name: str) -> None: assert len(self.branches) > 0 self.branches[-1].must_be_defined.discard(name) self.branches[-1].may_be_defined.discard(name) def record_nested_branch(self, state: BranchState) -> None: assert len(self.branches) > 0 current_branch = self.branches[-1] if state.skipped: current_branch.skipped = True return current_branch.must_be_defined.update(state.must_be_defined) current_branch.may_be_defined.update(state.may_be_defined) current_branch.may_be_defined.difference_update(current_branch.must_be_defined) def skip_branch(self) -> None: assert len(self.branches) > 0 self.branches[-1].skipped = True def is_possibly_undefined(self, name: str) -> bool: assert len(self.branches) > 0 return name in self.branches[-1].may_be_defined def is_undefined(self, name: str) -> bool: assert len(self.branches) > 0 branch = self.branches[-1] return name not in branch.may_be_defined and name not in branch.must_be_defined def is_defined_in_a_branch(self, name: str) -> bool: assert len(self.branches) > 0 for b in self.branches: if name in b.must_be_defined or name in b.may_be_defined: return True return False def done(self) -> BranchState: # First, compute all vars, including skipped branches. We include skipped branches # because our goal is to capture all variables that semantic analyzer would # consider defined. all_vars = set() for b in self.branches: all_vars.update(b.may_be_defined) all_vars.update(b.must_be_defined) # For the rest of the things, we only care about branches that weren't skipped. non_skipped_branches = [b for b in self.branches if not b.skipped] if non_skipped_branches: must_be_defined = non_skipped_branches[0].must_be_defined for b in non_skipped_branches[1:]: must_be_defined.intersection_update(b.must_be_defined) else: must_be_defined = set() # Everything that wasn't defined in all branches but was defined # in at least one branch should be in `may_be_defined`! may_be_defined = all_vars.difference(must_be_defined) return BranchState( must_be_defined=must_be_defined, may_be_defined=may_be_defined, skipped=len(non_skipped_branches) == 0, ) class ScopeType(Enum): Global = 1 Class = 2 Func = 3 Generator = 4 class Scope: def __init__(self, stmts: list[BranchStatement], scope_type: ScopeType) -> None: self.branch_stmts: list[BranchStatement] = stmts self.scope_type = scope_type self.undefined_refs: dict[str, set[NameExpr]] = {} def copy(self) -> Scope: result = Scope([s.copy() for s in self.branch_stmts], self.scope_type) result.undefined_refs = self.undefined_refs.copy() return result def record_undefined_ref(self, o: NameExpr) -> None: if o.name not in self.undefined_refs: self.undefined_refs[o.name] = set() self.undefined_refs[o.name].add(o) def pop_undefined_ref(self, name: str) -> set[NameExpr]: return self.undefined_refs.pop(name, set()) class DefinedVariableTracker: """DefinedVariableTracker manages the state and scope for the UndefinedVariablesVisitor.""" def __init__(self) -> None: # There's always at least one scope. Within each scope, there's at least one "global" BranchingStatement. self.scopes: list[Scope] = [Scope([BranchStatement()], ScopeType.Global)] # disable_branch_skip is used to disable skipping a branch due to a return/raise/etc. This is useful # in things like try/except/finally statements. self.disable_branch_skip = False def copy(self) -> DefinedVariableTracker: result = DefinedVariableTracker() result.scopes = [s.copy() for s in self.scopes] result.disable_branch_skip = self.disable_branch_skip return result def _scope(self) -> Scope: assert len(self.scopes) > 0 return self.scopes[-1] def enter_scope(self, scope_type: ScopeType) -> None: assert len(self._scope().branch_stmts) > 0 initial_state = None if scope_type == ScopeType.Generator: # Generators are special because they inherit the outer scope. initial_state = self._scope().branch_stmts[-1].branches[-1] self.scopes.append(Scope([BranchStatement(initial_state)], scope_type)) def exit_scope(self) -> None: self.scopes.pop() def in_scope(self, scope_type: ScopeType) -> bool: return self._scope().scope_type == scope_type def start_branch_statement(self) -> None: assert len(self._scope().branch_stmts) > 0 self._scope().branch_stmts.append( BranchStatement(self._scope().branch_stmts[-1].branches[-1]) ) def next_branch(self) -> None: assert len(self._scope().branch_stmts) > 1 self._scope().branch_stmts[-1].next_branch() def end_branch_statement(self) -> None: assert len(self._scope().branch_stmts) > 1 result = self._scope().branch_stmts.pop().done() self._scope().branch_stmts[-1].record_nested_branch(result) def skip_branch(self) -> None: # Only skip branch if we're outside of "root" branch statement. if len(self._scope().branch_stmts) > 1 and not self.disable_branch_skip: self._scope().branch_stmts[-1].skip_branch() def record_definition(self, name: str) -> None: assert len(self.scopes) > 0 assert len(self.scopes[-1].branch_stmts) > 0 self._scope().branch_stmts[-1].record_definition(name) def delete_var(self, name: str) -> None: assert len(self.scopes) > 0 assert len(self.scopes[-1].branch_stmts) > 0 self._scope().branch_stmts[-1].delete_var(name) def record_undefined_ref(self, o: NameExpr) -> None: """Records an undefined reference. These can later be retrieved via `pop_undefined_ref`.""" assert len(self.scopes) > 0 self._scope().record_undefined_ref(o) def pop_undefined_ref(self, name: str) -> set[NameExpr]: """If name has previously been reported as undefined, the NameExpr that was called will be returned.""" assert len(self.scopes) > 0 return self._scope().pop_undefined_ref(name) def is_possibly_undefined(self, name: str) -> bool: assert len(self._scope().branch_stmts) > 0 # A variable is undefined if it's in a set of `may_be_defined` but not in `must_be_defined`. return self._scope().branch_stmts[-1].is_possibly_undefined(name) def is_defined_in_different_branch(self, name: str) -> bool: """This will return true if a variable is defined in a branch that's not the current branch.""" assert len(self._scope().branch_stmts) > 0 stmt = self._scope().branch_stmts[-1] if not stmt.is_undefined(name): return False for stmt in self._scope().branch_stmts: if stmt.is_defined_in_a_branch(name): return True return False def is_undefined(self, name: str) -> bool: assert len(self._scope().branch_stmts) > 0 return self._scope().branch_stmts[-1].is_undefined(name) class Loop: def __init__(self) -> None: self.has_break = False class PossiblyUndefinedVariableVisitor(ExtendedTraverserVisitor): """Detects the following cases: - A variable that's defined only part of the time. - If a variable is used before definition An example of a partial definition: if foo(): x = 1 print(x) # Error: "x" may be undefined. Example of a used before definition: x = y y: int = 2 Note that this code does not detect variables not defined in any of the branches -- that is handled by the semantic analyzer. """ def __init__( self, msg: MessageBuilder, type_map: dict[Expression, Type], options: Options, names: SymbolTable, ) -> None: self.msg = msg self.type_map = type_map self.options = options self.builtins = SymbolTable() builtins_mod = names.get("__builtins__", None) if builtins_mod: assert isinstance(builtins_mod.node, MypyFile) self.builtins = builtins_mod.node.names self.loops: list[Loop] = [] self.try_depth = 0 self.tracker = DefinedVariableTracker() for name in implicit_module_attrs: self.tracker.record_definition(name) def var_used_before_def(self, name: str, context: Context) -> None: if self.msg.errors.is_error_code_enabled(errorcodes.USED_BEFORE_DEF): self.msg.var_used_before_def(name, context) def variable_may_be_undefined(self, name: str, context: Context) -> None: if self.msg.errors.is_error_code_enabled(errorcodes.POSSIBLY_UNDEFINED): self.msg.variable_may_be_undefined(name, context) def process_definition(self, name: str) -> None: # Was this name previously used? If yes, it's a used-before-definition error. if not self.tracker.in_scope(ScopeType.Class): refs = self.tracker.pop_undefined_ref(name) for ref in refs: if self.loops: self.variable_may_be_undefined(name, ref) else: self.var_used_before_def(name, ref) else: # Errors in class scopes are caught by the semantic analyzer. pass self.tracker.record_definition(name) def visit_global_decl(self, o: GlobalDecl) -> None: for name in o.names: self.process_definition(name) super().visit_global_decl(o) def visit_nonlocal_decl(self, o: NonlocalDecl) -> None: for name in o.names: self.process_definition(name) super().visit_nonlocal_decl(o) def process_lvalue(self, lvalue: Lvalue | None) -> None: if isinstance(lvalue, NameExpr): self.process_definition(lvalue.name) elif isinstance(lvalue, StarExpr): self.process_lvalue(lvalue.expr) elif isinstance(lvalue, (ListExpr, TupleExpr)): for item in lvalue.items: self.process_lvalue(item) def visit_assignment_stmt(self, o: AssignmentStmt) -> None: for lvalue in o.lvalues: self.process_lvalue(lvalue) super().visit_assignment_stmt(o) def visit_assignment_expr(self, o: AssignmentExpr) -> None: o.value.accept(self) self.process_lvalue(o.target) def visit_if_stmt(self, o: IfStmt) -> None: for e in o.expr: e.accept(self) self.tracker.start_branch_statement() for b in o.body: if b.is_unreachable: continue b.accept(self) self.tracker.next_branch() if o.else_body: if not o.else_body.is_unreachable: o.else_body.accept(self) else: self.tracker.skip_branch() self.tracker.end_branch_statement() def visit_match_stmt(self, o: MatchStmt) -> None: o.subject.accept(self) self.tracker.start_branch_statement() for i in range(len(o.patterns)): pattern = o.patterns[i] pattern.accept(self) guard = o.guards[i] if guard is not None: guard.accept(self) if not o.bodies[i].is_unreachable: o.bodies[i].accept(self) else: self.tracker.skip_branch() is_catchall = infer_pattern_value(pattern) == ALWAYS_TRUE if not is_catchall: self.tracker.next_branch() self.tracker.end_branch_statement() def visit_func_def(self, o: FuncDef) -> None: self.process_definition(o.name) super().visit_func_def(o) def visit_func(self, o: FuncItem) -> None: if o.is_dynamic() and not self.options.check_untyped_defs: return args = o.arguments or [] # Process initializers (defaults) outside the function scope. for arg in args: if arg.initializer is not None: arg.initializer.accept(self) self.tracker.enter_scope(ScopeType.Func) for arg in args: self.process_definition(arg.variable.name) super().visit_var(arg.variable) o.body.accept(self) self.tracker.exit_scope() def visit_generator_expr(self, o: GeneratorExpr) -> None: self.tracker.enter_scope(ScopeType.Generator) for idx in o.indices: self.process_lvalue(idx) super().visit_generator_expr(o) self.tracker.exit_scope() def visit_dictionary_comprehension(self, o: DictionaryComprehension) -> None: self.tracker.enter_scope(ScopeType.Generator) for idx in o.indices: self.process_lvalue(idx) super().visit_dictionary_comprehension(o) self.tracker.exit_scope() def visit_for_stmt(self, o: ForStmt) -> None: o.expr.accept(self) self.process_lvalue(o.index) o.index.accept(self) self.tracker.start_branch_statement() loop = Loop() self.loops.append(loop) o.body.accept(self) self.tracker.next_branch() self.tracker.end_branch_statement() if o.else_body is not None: # If the loop has a `break` inside, `else` is executed conditionally. # If the loop doesn't have a `break` either the function will return or # execute the `else`. has_break = loop.has_break if has_break: self.tracker.start_branch_statement() self.tracker.next_branch() o.else_body.accept(self) if has_break: self.tracker.end_branch_statement() self.loops.pop() def visit_return_stmt(self, o: ReturnStmt) -> None: super().visit_return_stmt(o) self.tracker.skip_branch() def visit_lambda_expr(self, o: LambdaExpr) -> None: self.tracker.enter_scope(ScopeType.Func) super().visit_lambda_expr(o) self.tracker.exit_scope() def visit_assert_stmt(self, o: AssertStmt) -> None: super().visit_assert_stmt(o) if checker.is_false_literal(o.expr): self.tracker.skip_branch() def visit_raise_stmt(self, o: RaiseStmt) -> None: super().visit_raise_stmt(o) self.tracker.skip_branch() def visit_continue_stmt(self, o: ContinueStmt) -> None: super().visit_continue_stmt(o) self.tracker.skip_branch() def visit_break_stmt(self, o: BreakStmt) -> None: super().visit_break_stmt(o) if self.loops: self.loops[-1].has_break = True self.tracker.skip_branch() def visit_expression_stmt(self, o: ExpressionStmt) -> None: typ = self.type_map.get(o.expr) if typ is None or isinstance(get_proper_type(typ), UninhabitedType): self.tracker.skip_branch() super().visit_expression_stmt(o) def visit_try_stmt(self, o: TryStmt) -> None: """ Note that finding undefined vars in `finally` requires different handling from the rest of the code. In particular, we want to disallow skipping branches due to jump statements in except/else clauses for finally but not for other cases. Imagine a case like: def f() -> int: try: x = 1 except: # This jump statement needs to be handled differently depending on whether or # not we're trying to process `finally` or not. return 0 finally: # `x` may be undefined here. pass # `x` is always defined here. return x """ self.try_depth += 1 if o.finally_body is not None: # In order to find undefined vars in `finally`, we need to # process try/except with branch skipping disabled. However, for the rest of the code # after finally, we need to process try/except with branch skipping enabled. # Therefore, we need to process try/finally twice. # Because processing is not idempotent, we should make a copy of the tracker. old_tracker = self.tracker.copy() self.tracker.disable_branch_skip = True self.process_try_stmt(o) self.tracker = old_tracker self.process_try_stmt(o) self.try_depth -= 1 def process_try_stmt(self, o: TryStmt) -> None: """ Processes try statement decomposing it into the following: if ...: body else_body elif ...: except 1 elif ...: except 2 else: except n finally """ self.tracker.start_branch_statement() o.body.accept(self) if o.else_body is not None: o.else_body.accept(self) if len(o.handlers) > 0: assert len(o.handlers) == len(o.vars) == len(o.types) for i in range(len(o.handlers)): self.tracker.next_branch() exc_type = o.types[i] if exc_type is not None: exc_type.accept(self) var = o.vars[i] if var is not None: self.process_definition(var.name) var.accept(self) o.handlers[i].accept(self) if var is not None: self.tracker.delete_var(var.name) self.tracker.end_branch_statement() if o.finally_body is not None: o.finally_body.accept(self) def visit_while_stmt(self, o: WhileStmt) -> None: o.expr.accept(self) self.tracker.start_branch_statement() loop = Loop() self.loops.append(loop) o.body.accept(self) has_break = loop.has_break if not checker.is_true_literal(o.expr): # If this is a loop like `while True`, we can consider the body to be # a single branch statement (we're guaranteed that the body is executed at least once). # If not, call next_branch() to make all variables defined there conditional. self.tracker.next_branch() self.tracker.end_branch_statement() if o.else_body is not None: # If the loop has a `break` inside, `else` is executed conditionally. # If the loop doesn't have a `break` either the function will return or # execute the `else`. if has_break: self.tracker.start_branch_statement() self.tracker.next_branch() if o.else_body: o.else_body.accept(self) if has_break: self.tracker.end_branch_statement() self.loops.pop() def visit_as_pattern(self, o: AsPattern) -> None: if o.name is not None: self.process_lvalue(o.name) super().visit_as_pattern(o) def visit_starred_pattern(self, o: StarredPattern) -> None: if o.capture is not None: self.process_lvalue(o.capture) super().visit_starred_pattern(o) def visit_name_expr(self, o: NameExpr) -> None: if o.name in self.builtins and self.tracker.in_scope(ScopeType.Global): return if self.tracker.is_possibly_undefined(o.name): # A variable is only defined in some branches. self.variable_may_be_undefined(o.name, o) # We don't want to report the error on the same variable multiple times. self.tracker.record_definition(o.name) elif self.tracker.is_defined_in_different_branch(o.name): # A variable is defined in one branch but used in a different branch. if self.loops or self.try_depth > 0: # If we're in a loop or in a try, we can't be sure that this variable # is undefined. Report it as "may be undefined". self.variable_may_be_undefined(o.name, o) else: self.var_used_before_def(o.name, o) elif self.tracker.is_undefined(o.name): # A variable is undefined. It could be due to two things: # 1. A variable is just totally undefined # 2. The variable is defined later in the code. # Case (1) will be caught by semantic analyzer. Case (2) is a forward ref that should # be caught by this visitor. Save the ref for later, so that if we see a definition, # we know it's a used-before-definition scenario. self.tracker.record_undefined_ref(o) super().visit_name_expr(o) def visit_with_stmt(self, o: WithStmt) -> None: for expr, idx in zip(o.expr, o.target): expr.accept(self) self.process_lvalue(idx) o.body.accept(self) def visit_class_def(self, o: ClassDef) -> None: self.process_definition(o.name) self.tracker.enter_scope(ScopeType.Class) super().visit_class_def(o) self.tracker.exit_scope() def visit_import(self, o: Import) -> None: for mod, alias in o.ids: if alias is not None: self.tracker.record_definition(alias) else: # When you do `import x.y`, only `x` becomes defined. names = mod.split(".") if names: # `names` should always be nonempty, but we don't want mypy # to crash on invalid code. self.tracker.record_definition(names[0]) super().visit_import(o) def visit_import_from(self, o: ImportFrom) -> None: for mod, alias in o.names: name = alias if name is None: name = mod self.tracker.record_definition(name) super().visit_import_from(o) def visit_type_alias_stmt(self, o: TypeAliasStmt) -> None: # Type alias target may contain forward references self.tracker.record_definition(o.name.name) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/patterns.py0000644000175100017510000000772015112307767015475 0ustar00runnerrunner"""Classes for representing match statement patterns.""" from __future__ import annotations from typing import TypeVar from mypy_extensions import trait from mypy.nodes import Expression, NameExpr, Node, RefExpr from mypy.visitor import PatternVisitor T = TypeVar("T") @trait class Pattern(Node): """A pattern node.""" __slots__ = () def accept(self, visitor: PatternVisitor[T]) -> T: raise RuntimeError("Not implemented", type(self)) class AsPattern(Pattern): """The pattern as """ # The python ast, and therefore also our ast merges capture, wildcard and as patterns into one # for easier handling. # If pattern is None this is a capture pattern. If name and pattern are both none this is a # wildcard pattern. # Only name being None should not happen but also won't break anything. pattern: Pattern | None name: NameExpr | None def __init__(self, pattern: Pattern | None, name: NameExpr | None) -> None: super().__init__() self.pattern = pattern self.name = name def accept(self, visitor: PatternVisitor[T]) -> T: return visitor.visit_as_pattern(self) class OrPattern(Pattern): """The pattern | | ...""" patterns: list[Pattern] def __init__(self, patterns: list[Pattern]) -> None: super().__init__() self.patterns = patterns def accept(self, visitor: PatternVisitor[T]) -> T: return visitor.visit_or_pattern(self) class ValuePattern(Pattern): """The pattern x.y (or x.y.z, ...)""" expr: Expression def __init__(self, expr: Expression) -> None: super().__init__() self.expr = expr def accept(self, visitor: PatternVisitor[T]) -> T: return visitor.visit_value_pattern(self) class SingletonPattern(Pattern): # This can be exactly True, False or None value: bool | None def __init__(self, value: bool | None) -> None: super().__init__() self.value = value def accept(self, visitor: PatternVisitor[T]) -> T: return visitor.visit_singleton_pattern(self) class SequencePattern(Pattern): """The pattern [, ...]""" patterns: list[Pattern] def __init__(self, patterns: list[Pattern]) -> None: super().__init__() self.patterns = patterns def accept(self, visitor: PatternVisitor[T]) -> T: return visitor.visit_sequence_pattern(self) class StarredPattern(Pattern): # None corresponds to *_ in a list pattern. It will match multiple items but won't bind them to # a name. capture: NameExpr | None def __init__(self, capture: NameExpr | None) -> None: super().__init__() self.capture = capture def accept(self, visitor: PatternVisitor[T]) -> T: return visitor.visit_starred_pattern(self) class MappingPattern(Pattern): keys: list[Expression] values: list[Pattern] rest: NameExpr | None def __init__( self, keys: list[Expression], values: list[Pattern], rest: NameExpr | None ) -> None: super().__init__() assert len(keys) == len(values) self.keys = keys self.values = values self.rest = rest def accept(self, visitor: PatternVisitor[T]) -> T: return visitor.visit_mapping_pattern(self) class ClassPattern(Pattern): """The pattern Cls(...)""" class_ref: RefExpr positionals: list[Pattern] keyword_keys: list[str] keyword_values: list[Pattern] def __init__( self, class_ref: RefExpr, positionals: list[Pattern], keyword_keys: list[str], keyword_values: list[Pattern], ) -> None: super().__init__() assert len(keyword_keys) == len(keyword_values) self.class_ref = class_ref self.positionals = positionals self.keyword_keys = keyword_keys self.keyword_values = keyword_values def accept(self, visitor: PatternVisitor[T]) -> T: return visitor.visit_class_pattern(self) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugin.py0000644000175100017510000010657715112307767015145 0ustar00runnerrunner"""Plugin system for extending mypy. At large scale the plugin system works as following: * Plugins are collected from the corresponding mypy config file option (either via paths to Python files, or installed Python modules) and imported using importlib. * Every module should get an entry point function (called 'plugin' by default, but may be overridden in the config file) that should accept a single string argument that is a full mypy version (includes git commit hash for dev versions) and return a subclass of mypy.plugins.Plugin. * All plugin class constructors should match the signature of mypy.plugin.Plugin (i.e. should accept an mypy.options.Options object), and *must* call super().__init__(). * At several steps during semantic analysis and type checking mypy calls special `get_xxx` methods on user plugins with a single string argument that is a fully qualified name (full name) of a relevant definition (see mypy.plugin.Plugin method docstrings for details). * The plugins are called in the order they are passed in the config option. Every plugin must decide whether to act on a given full name. The first plugin that returns non-None object will be used. * The above decision should be made using the limited common API specified by mypy.plugin.CommonPluginApi. * The callback returned by the plugin will be called with a larger context that includes relevant current state (e.g. a default return type, or a default attribute type) and a wider relevant API provider (e.g. SemanticAnalyzerPluginInterface or CheckerPluginInterface). * The result of this is used for further processing. See various `XxxContext` named tuples for details about which information is given to each hook. Plugin developers should ensure that their plugins work well in incremental and daemon modes. In particular, plugins should not hold global state, and should always call add_plugin_dependency() in plugin hooks called during semantic analysis. See the method docstring for more details. There is no dedicated cache storage for plugins, but plugins can store per-TypeInfo data in a special .metadata attribute that is serialized to the mypy caches between incremental runs. To avoid collisions between plugins, they are encouraged to store their state under a dedicated key coinciding with plugin name in the metadata dictionary. Every value stored there must be JSON-serializable. ## Notes about the semantic analyzer Mypy 0.710 introduced a new semantic analyzer that changed how plugins are expected to work in several notable ways (from mypy 0.730 the old semantic analyzer is no longer available): 1. The order of processing AST nodes in modules is different. The old semantic analyzer processed modules in textual order, one module at a time. The new semantic analyzer first processes the module top levels, including bodies of any top-level classes and classes nested within classes. ("Top-level" here means "not nested within a function/method".) Functions and methods are processed only after module top levels have been finished. If there is an import cycle, all module top levels in the cycle are processed before processing any functions or methods. Each unit of processing (a module top level or a function/method) is called a *target*. This also means that function signatures in the same module have not been analyzed yet when analyzing the module top level. If you need access to a function signature, you'll need to explicitly analyze the signature first using `anal_type()`. 2. Each target can be processed multiple times. This may happen if some forward references are not ready yet, for example. This means that semantic analyzer related plugin hooks can be called multiple times for the same full name. These plugin methods must thus be idempotent. 3. The `anal_type` API function returns None if some part of the type is not available yet. If this happens, the current target being analyzed will be *deferred*, which means that it will be processed again soon, in the hope that additional dependencies will be available. This may happen if there are forward references to types or inter-module references to types within an import cycle. Note that if there is a circular definition, mypy may decide to stop processing to avoid an infinite number of iterations. When this happens, `anal_type` will generate an error and return an `AnyType` type object during the final iteration (instead of None). 4. There is a new API method `defer()`. This can be used to explicitly request the current target to be reprocessed one more time. You don't need this to call this if `anal_type` returns None, however. 5. There is a new API property `final_iteration`, which is true once mypy detected no progress during the previous iteration or if the maximum semantic analysis iteration count has been reached. You must never defer during the final iteration, as it will cause a crash. 6. The `node` attribute of SymbolTableNode objects may contain a reference to a PlaceholderNode object. This object means that this definition has not been fully processed yet. If you encounter a PlaceholderNode, you should defer unless it's the final iteration. If it's the final iteration, you should generate an error message. It usually means that there's a cyclic definition that cannot be resolved by mypy. PlaceholderNodes can only refer to references inside an import cycle. If you are looking up things from another module, such as the builtins, that is outside the current module or import cycle, you can safely assume that you won't receive a placeholder. When testing your plugin, you should have a test case that forces a module top level to be processed multiple times. The easiest way to do this is to include a forward reference to a class in a top-level annotation. Example: c: C # Forward reference causes second analysis pass class C: pass Note that a forward reference in a function signature won't trigger another pass, since all functions are processed only after the top level has been fully analyzed. """ from __future__ import annotations from abc import abstractmethod from typing import TYPE_CHECKING, Any, Callable, NamedTuple, TypeVar from mypy_extensions import mypyc_attr, trait from mypy.errorcodes import ErrorCode from mypy.errors import ErrorInfo from mypy.lookup import lookup_fully_qualified from mypy.message_registry import ErrorMessage from mypy.nodes import ( ArgKind, CallExpr, ClassDef, Context, Expression, MypyFile, SymbolTableNode, TypeInfo, ) from mypy.options import Options from mypy.types import ( CallableType, FunctionLike, Instance, ProperType, Type, TypeList, UnboundType, ) if TYPE_CHECKING: from mypy.messages import MessageBuilder from mypy.tvar_scope import TypeVarLikeScope @trait class TypeAnalyzerPluginInterface: """Interface for accessing semantic analyzer functionality in plugins. Methods docstrings contain only basic info. Look for corresponding implementation docstrings in typeanal.py for more details. """ # An options object. Note: these are the cloned options for the current file. # This might be different from Plugin.options (that contains default/global options) # if there are per-file options in the config. This applies to all other interfaces # in this file. options: Options @abstractmethod def fail(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None: """Emit an error message at given location.""" raise NotImplementedError @abstractmethod def named_type(self, fullname: str, args: list[Type], /) -> Instance: """Construct an instance of a builtin type with given name.""" raise NotImplementedError @abstractmethod def analyze_type(self, typ: Type, /) -> Type: """Analyze an unbound type using the default mypy logic.""" raise NotImplementedError @abstractmethod def analyze_callable_args( self, arglist: TypeList ) -> tuple[list[Type], list[ArgKind], list[str | None]] | None: """Find types, kinds, and names of arguments from extended callable syntax.""" raise NotImplementedError # A context for a hook that semantically analyzes an unbound type. class AnalyzeTypeContext(NamedTuple): type: UnboundType # Type to analyze context: Context # Relevant location context (e.g. for error messages) api: TypeAnalyzerPluginInterface @mypyc_attr(allow_interpreted_subclasses=True) class CommonPluginApi: """ A common plugin API (shared between semantic analysis and type checking phases) that all plugin hooks get independently of the context. """ # Global mypy options. # Per-file options can be only accessed on various # XxxPluginInterface classes. options: Options @abstractmethod def lookup_fully_qualified(self, fullname: str) -> SymbolTableNode | None: """Lookup a symbol by its full name (including module). This lookup function available for all plugins. Return None if a name is not found. This function doesn't support lookup from current scope. Use SemanticAnalyzerPluginInterface.lookup_qualified() for this.""" raise NotImplementedError @trait class CheckerPluginInterface: """Interface for accessing type checker functionality in plugins. Methods docstrings contain only basic info. Look for corresponding implementation docstrings in checker.py for more details. """ msg: MessageBuilder options: Options path: str # Type context for type inference @property @abstractmethod def type_context(self) -> list[Type | None]: """Return the type context of the plugin""" raise NotImplementedError @abstractmethod def fail( self, msg: str | ErrorMessage, ctx: Context, /, *, code: ErrorCode | None = None ) -> ErrorInfo | None: """Emit an error message at given location.""" raise NotImplementedError @abstractmethod def named_generic_type(self, name: str, args: list[Type]) -> Instance: """Construct an instance of a generic type with given type arguments.""" raise NotImplementedError @abstractmethod def get_expression_type(self, node: Expression, type_context: Type | None = None) -> Type: """Checks the type of the given expression.""" raise NotImplementedError @trait class SemanticAnalyzerPluginInterface: """Interface for accessing semantic analyzer functionality in plugins. Methods docstrings contain only basic info. Look for corresponding implementation docstrings in semanal.py for more details. # TODO: clean-up lookup functions. """ modules: dict[str, MypyFile] # Options for current file. options: Options cur_mod_id: str msg: MessageBuilder @abstractmethod def named_type(self, fullname: str, args: list[Type] | None = None) -> Instance: """Construct an instance of a builtin type with given type arguments.""" raise NotImplementedError @abstractmethod def builtin_type(self, fully_qualified_name: str) -> Instance: """Legacy function -- use named_type() instead.""" # NOTE: Do not delete this since many plugins may still use it. raise NotImplementedError @abstractmethod def named_type_or_none(self, fullname: str, args: list[Type] | None = None) -> Instance | None: """Construct an instance of a type with given type arguments. Return None if a type could not be constructed for the qualified type name. This is possible when the qualified name includes a module name and the module has not been imported. """ raise NotImplementedError @abstractmethod def basic_new_typeinfo(self, name: str, basetype_or_fallback: Instance, line: int) -> TypeInfo: raise NotImplementedError @abstractmethod def parse_bool(self, expr: Expression) -> bool | None: """Parse True/False literals.""" raise NotImplementedError @abstractmethod def parse_str_literal(self, expr: Expression) -> str | None: """Parse string literals.""" @abstractmethod def fail( self, msg: str, ctx: Context, serious: bool = False, *, blocker: bool = False, code: ErrorCode | None = None, ) -> None: """Emit an error message at given location.""" raise NotImplementedError @abstractmethod def anal_type( self, typ: Type, /, *, tvar_scope: TypeVarLikeScope | None = None, allow_tuple_literal: bool = False, allow_unbound_tvars: bool = False, report_invalid_types: bool = True, ) -> Type | None: """Analyze an unbound type. Return None if some part of the type is not ready yet. In this case the current target being analyzed will be deferred and analyzed again. """ raise NotImplementedError @abstractmethod def class_type(self, self_type: Type) -> Type: """Generate type of first argument of class methods from type of self.""" raise NotImplementedError @abstractmethod def lookup_fully_qualified(self, fullname: str, /) -> SymbolTableNode: """Lookup a symbol by its fully qualified name. Raise an error if not found. """ raise NotImplementedError @abstractmethod def lookup_fully_qualified_or_none(self, fullname: str, /) -> SymbolTableNode | None: """Lookup a symbol by its fully qualified name. Return None if not found. """ raise NotImplementedError @abstractmethod def lookup_qualified( self, name: str, ctx: Context, suppress_errors: bool = False ) -> SymbolTableNode | None: """Lookup symbol using a name in current scope. This follows Python local->non-local->global->builtins rules. """ raise NotImplementedError @abstractmethod def add_plugin_dependency(self, trigger: str, target: str | None = None) -> None: """Specify semantic dependencies for generated methods/variables. If the symbol with full name given by trigger is found to be stale by mypy, then the body of node with full name given by target will be re-checked. By default, this is the node that is currently analyzed. For example, the dataclass plugin adds a generated __init__ method with a signature that depends on types of attributes in ancestor classes. If any attribute in an ancestor class gets stale (modified), we need to reprocess the subclasses (and thus regenerate __init__ methods). This is used by fine-grained incremental mode (mypy daemon). See mypy/server/deps.py for more details. """ raise NotImplementedError @abstractmethod def add_symbol_table_node(self, name: str, symbol: SymbolTableNode) -> Any: """Add node to global symbol table (or to nearest class if there is one).""" raise NotImplementedError @abstractmethod def qualified_name(self, name: str) -> str: """Make qualified name using current module and enclosing class (if any).""" raise NotImplementedError @abstractmethod def defer(self) -> None: """Call this to defer the processing of the current node. This will request an additional iteration of semantic analysis. """ raise NotImplementedError @property @abstractmethod def final_iteration(self) -> bool: """Is this the final iteration of semantic analysis?""" raise NotImplementedError @property @abstractmethod def is_stub_file(self) -> bool: raise NotImplementedError @abstractmethod def analyze_simple_literal_type(self, rvalue: Expression, is_final: bool) -> Type | None: raise NotImplementedError # A context for querying for configuration data about a module for # cache invalidation purposes. class ReportConfigContext(NamedTuple): id: str # Module name path: str # Module file path is_check: bool # Is this invocation for checking whether the config matches # A context for a function signature hook that infers a better signature for a # function. Note that argument types aren't available yet. If you need them, # you have to use a method hook instead. class FunctionSigContext(NamedTuple): args: list[list[Expression]] # Actual expressions for each formal argument default_signature: CallableType # Original signature of the method context: Context # Relevant location context (e.g. for error messages) api: CheckerPluginInterface # A context for a function hook that infers the return type of a function with # a special signature. # # A no-op callback would just return the inferred return type, but a useful # callback at least sometimes can infer a more precise type. class FunctionContext(NamedTuple): arg_types: list[list[Type]] # List of actual caller types for each formal argument arg_kinds: list[list[ArgKind]] # Ditto for argument kinds, see nodes.ARG_* constants # Names of formal parameters from the callee definition, # these will be sufficient in most cases. callee_arg_names: list[str | None] # Names of actual arguments in the call expression. For example, # in a situation like this: # def func(**kwargs) -> None: # pass # func(kw1=1, kw2=2) # callee_arg_names will be ['kwargs'] and arg_names will be [['kw1', 'kw2']]. arg_names: list[list[str | None]] default_return_type: Type # Return type inferred from signature args: list[list[Expression]] # Actual expressions for each formal argument context: Context # Relevant location context (e.g. for error messages) api: CheckerPluginInterface # A context for a method signature hook that infers a better signature for a # method. Note that argument types aren't available yet. If you need them, # you have to use a method hook instead. # TODO: document ProperType in the plugin changelog/update issue. class MethodSigContext(NamedTuple): type: ProperType # Base object type for method call args: list[list[Expression]] # Actual expressions for each formal argument default_signature: CallableType # Original signature of the method context: Context # Relevant location context (e.g. for error messages) api: CheckerPluginInterface # A context for a method hook that infers the return type of a method with a # special signature. # # This is very similar to FunctionContext (only differences are documented). class MethodContext(NamedTuple): type: ProperType # Base object type for method call arg_types: list[list[Type]] # List of actual caller types for each formal argument # see FunctionContext for details about names and kinds arg_kinds: list[list[ArgKind]] callee_arg_names: list[str | None] arg_names: list[list[str | None]] default_return_type: Type # Return type inferred by mypy args: list[list[Expression]] # Lists of actual expressions for every formal argument context: Context api: CheckerPluginInterface # A context for an attribute type hook that infers the type of an attribute. class AttributeContext(NamedTuple): type: ProperType # Type of object with attribute default_attr_type: Type # Original attribute type is_lvalue: bool # Whether the attribute is the target of an assignment context: Context # Relevant location context (e.g. for error messages) api: CheckerPluginInterface # A context for a class hook that modifies the class definition. class ClassDefContext(NamedTuple): cls: ClassDef # The class definition reason: Expression # The expression being applied (decorator, metaclass, base class) api: SemanticAnalyzerPluginInterface # A context for dynamic class definitions like # Base = declarative_base() class DynamicClassDefContext(NamedTuple): call: CallExpr # The r.h.s. of dynamic class definition name: str # The name this class is being assigned to api: SemanticAnalyzerPluginInterface @mypyc_attr(allow_interpreted_subclasses=True) class Plugin(CommonPluginApi): """Base class of all type checker plugins. This defines a no-op plugin. Subclasses can override some methods to provide some actual functionality. All get_ methods are treated as pure functions (you should assume that results might be cached). A plugin should return None from a get_ method to give way to other plugins. Look at the comments of various *Context objects for additional information on various hooks. """ def __init__(self, options: Options) -> None: self.options = options self.python_version = options.python_version # This can't be set in __init__ because it is executed too soon in build.py. # Therefore, build.py *must* set it later before graph processing starts # by calling set_modules(). self._modules: dict[str, MypyFile] | None = None def set_modules(self, modules: dict[str, MypyFile]) -> None: self._modules = modules def lookup_fully_qualified(self, fullname: str) -> SymbolTableNode | None: assert self._modules is not None return lookup_fully_qualified(fullname, self._modules) def report_config_data(self, ctx: ReportConfigContext) -> Any: """Get representation of configuration data for a module. The data must be encodable as JSON and will be stored in the cache metadata for the module. A mismatch between the cached values and the returned will result in that module's cache being invalidated and the module being rechecked. This can be called twice for each module, once after loading the cache to check if it is valid and once while writing new cache information. If is_check in the context is true, then the return of this call will be checked against the cached version. Otherwise the call is being made to determine what to put in the cache. This can be used to allow consulting extra cache files in certain complex situations. This can be used to incorporate external configuration information that might require changes to typechecking. """ return None def get_additional_deps(self, file: MypyFile) -> list[tuple[int, str, int]]: """Customize dependencies for a module. This hook allows adding in new dependencies for a module. It is called after parsing a file but before analysis. This can be useful if a library has dependencies that are dynamic based on configuration information, for example. Returns a list of (priority, module name, line number) tuples. The line number can be -1 when there is not a known real line number. Priorities are defined in mypy.build (but maybe shouldn't be). 10 is a good choice for priority. """ return [] def get_type_analyze_hook(self, fullname: str) -> Callable[[AnalyzeTypeContext], Type] | None: """Customize behaviour of the type analyzer for given full names. This method is called during the semantic analysis pass whenever mypy sees an unbound type. For example, while analysing this code: from lib import Special, Other var: Special def func(x: Other[int]) -> None: ... this method will be called with 'lib.Special', and then with 'lib.Other'. The callback returned by plugin must return an analyzed type, i.e. an instance of `mypy.types.Type`. """ return None def get_function_signature_hook( self, fullname: str ) -> Callable[[FunctionSigContext], FunctionLike] | None: """Adjust the signature of a function. This method is called before type checking a function call. Plugin may infer a better type for the function. from lib import Class, do_stuff do_stuff(42) Class() This method will be called with 'lib.do_stuff' and then with 'lib.Class'. """ return None def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: """Adjust the return type of a function call. This method is called after type checking a call. Plugin may adjust the return type inferred by mypy, and/or emit some error messages. Note, this hook is also called for class instantiation calls, so that in this example: from lib import Class, do_stuff do_stuff(42) Class() This method will be called with 'lib.do_stuff' and then with 'lib.Class'. """ return None def get_method_signature_hook( self, fullname: str ) -> Callable[[MethodSigContext], FunctionLike] | None: """Adjust the signature of a method. This method is called before type checking a method call. Plugin may infer a better type for the method. The hook is also called for special Python dunder methods except __init__ and __new__ (use get_function_hook to customize class instantiation). This function is called with the method full name using the class where it was _defined_. For example, in this code: from lib import Special class Base: def method(self, arg: Any) -> Any: ... class Derived(Base): ... var: Derived var.method(42) x: Special y = x[0] this method is called with '__main__.Base.method', and then with 'lib.Special.__getitem__'. """ return None def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: """Adjust return type of a method call. This is the same as get_function_hook(), but is called with the method full name (again, using the class where the method is defined). """ return None def get_attribute_hook(self, fullname: str) -> Callable[[AttributeContext], Type] | None: """Adjust type of an instance attribute. This method is called with attribute full name using the class of the instance where the attribute was defined (or Var.info.fullname for generated attributes). For classes without __getattr__ or __getattribute__, this hook is only called for names of fields/properties (but not methods) that exist in the instance MRO. For classes that implement __getattr__ or __getattribute__, this hook is called for all fields/properties, including nonexistent ones (but still not methods). For example: class Base: x: Any def __getattr__(self, attr: str) -> Any: ... class Derived(Base): ... var: Derived var.x var.y get_attribute_hook is called with '__main__.Base.x' and '__main__.Base.y'. However, if we had not implemented __getattr__ on Base, you would only get the callback for 'var.x'; 'var.y' would produce an error without calling the hook. """ return None def get_class_attribute_hook(self, fullname: str) -> Callable[[AttributeContext], Type] | None: """ Adjust type of a class attribute. This method is called with attribute full name using the class where the attribute was defined (or Var.info.fullname for generated attributes). For example: class Cls: x: Any Cls.x get_class_attribute_hook is called with '__main__.Cls.x' as fullname. """ return None def get_class_decorator_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: """Update class definition for given class decorators. The plugin can modify a TypeInfo _in place_ (for example add some generated methods to the symbol table). This hook is called after the class body was semantically analyzed, but *there may still be placeholders* (typically caused by forward references). NOTE: Usually get_class_decorator_hook_2 is the better option, since it guarantees that there are no placeholders. The hook is called with full names of all class decorators. The hook can be called multiple times per class, so it must be idempotent. """ return None def get_class_decorator_hook_2( self, fullname: str ) -> Callable[[ClassDefContext], bool] | None: """Update class definition for given class decorators. Similar to get_class_decorator_hook, but this runs in a later pass when placeholders have been resolved. The hook can return False if some base class hasn't been processed yet using class hooks. It causes all class hooks (that are run in this same pass) to be invoked another time for the file(s) currently being processed. The hook can be called multiple times per class, so it must be idempotent. """ return None def get_metaclass_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: """Update class definition for given declared metaclasses. Same as get_class_decorator_hook() but for metaclasses. Note: this hook will be only called for explicit metaclasses, not for inherited ones. TODO: probably it should also be called on inherited metaclasses. """ return None def get_base_class_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: """Update class definition for given base classes. Same as get_class_decorator_hook() but for base classes. Base classes don't need to refer to TypeInfos, if a base class refers to a variable with Any type, this hook will still be called. """ return None def get_customize_class_mro_hook( self, fullname: str ) -> Callable[[ClassDefContext], None] | None: """Customize MRO for given classes. The plugin can modify the class MRO _in place_. This method is called with the class full name before its body was semantically analyzed. """ return None def get_dynamic_class_hook( self, fullname: str ) -> Callable[[DynamicClassDefContext], None] | None: """Semantically analyze a dynamic class definition. This plugin hook allows one to semantically analyze dynamic class definitions like: from lib import dynamic_class X = dynamic_class('X', []) For such definition, this hook will be called with 'lib.dynamic_class'. The plugin should create the corresponding TypeInfo, and place it into a relevant symbol table, e.g. using ctx.api.add_symbol_table_node(). """ return None T = TypeVar("T") class ChainedPlugin(Plugin): """A plugin that represents a sequence of chained plugins. Each lookup method returns the hook for the first plugin that reports a match. This class should not be subclassed -- use Plugin as the base class for all plugins. """ # TODO: Support caching of lookup results (through a LRU cache, for example). def __init__(self, options: Options, plugins: list[Plugin]) -> None: """Initialize chained plugin. Assume that the child plugins aren't mutated (results may be cached). """ super().__init__(options) self._plugins = plugins def set_modules(self, modules: dict[str, MypyFile]) -> None: for plugin in self._plugins: plugin.set_modules(modules) def report_config_data(self, ctx: ReportConfigContext) -> Any: config_data = [plugin.report_config_data(ctx) for plugin in self._plugins] return config_data if any(x is not None for x in config_data) else None def get_additional_deps(self, file: MypyFile) -> list[tuple[int, str, int]]: deps = [] for plugin in self._plugins: deps.extend(plugin.get_additional_deps(file)) return deps def get_type_analyze_hook(self, fullname: str) -> Callable[[AnalyzeTypeContext], Type] | None: # Micro-optimization: Inline iteration over plugins for plugin in self._plugins: hook = plugin.get_type_analyze_hook(fullname) if hook is not None: return hook return None def get_function_signature_hook( self, fullname: str ) -> Callable[[FunctionSigContext], FunctionLike] | None: # Micro-optimization: Inline iteration over plugins for plugin in self._plugins: hook = plugin.get_function_signature_hook(fullname) if hook is not None: return hook return None def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: return self._find_hook(lambda plugin: plugin.get_function_hook(fullname)) def get_method_signature_hook( self, fullname: str ) -> Callable[[MethodSigContext], FunctionLike] | None: # Micro-optimization: Inline iteration over plugins for plugin in self._plugins: hook = plugin.get_method_signature_hook(fullname) if hook is not None: return hook return None def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: # Micro-optimization: Inline iteration over plugins for plugin in self._plugins: hook = plugin.get_method_hook(fullname) if hook is not None: return hook return None def get_attribute_hook(self, fullname: str) -> Callable[[AttributeContext], Type] | None: # Micro-optimization: Inline iteration over plugins for plugin in self._plugins: hook = plugin.get_attribute_hook(fullname) if hook is not None: return hook return None def get_class_attribute_hook(self, fullname: str) -> Callable[[AttributeContext], Type] | None: return self._find_hook(lambda plugin: plugin.get_class_attribute_hook(fullname)) def get_class_decorator_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: return self._find_hook(lambda plugin: plugin.get_class_decorator_hook(fullname)) def get_class_decorator_hook_2( self, fullname: str ) -> Callable[[ClassDefContext], bool] | None: return self._find_hook(lambda plugin: plugin.get_class_decorator_hook_2(fullname)) def get_metaclass_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: return self._find_hook(lambda plugin: plugin.get_metaclass_hook(fullname)) def get_base_class_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: return self._find_hook(lambda plugin: plugin.get_base_class_hook(fullname)) def get_customize_class_mro_hook( self, fullname: str ) -> Callable[[ClassDefContext], None] | None: return self._find_hook(lambda plugin: plugin.get_customize_class_mro_hook(fullname)) def get_dynamic_class_hook( self, fullname: str ) -> Callable[[DynamicClassDefContext], None] | None: return self._find_hook(lambda plugin: plugin.get_dynamic_class_hook(fullname)) def _find_hook(self, lookup: Callable[[Plugin], T]) -> T | None: for plugin in self._plugins: hook = lookup(plugin) if hook is not None: return hook return None ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4807644 mypy-1.19.0/mypy/plugins/0000755000175100017510000000000015112310011014706 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/__init__.py0000644000175100017510000000000015112307767017035 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/attrs.py0000644000175100017510000013250615112307767016454 0ustar00runnerrunner"""Plugin for supporting the attrs library (http://www.attrs.org)""" from __future__ import annotations from collections import defaultdict from collections.abc import Iterable, Mapping from functools import reduce from typing import Final, Literal, cast import mypy.plugin # To avoid circular imports. from mypy.applytype import apply_generic_arguments from mypy.errorcodes import LITERAL_REQ from mypy.expandtype import expand_type, expand_type_by_instance from mypy.exprtotype import TypeTranslationError, expr_to_unanalyzed_type from mypy.meet import meet_types from mypy.messages import format_type_bare from mypy.nodes import ( ARG_NAMED, ARG_NAMED_OPT, ARG_OPT, ARG_POS, MDEF, Argument, AssignmentStmt, CallExpr, Context, Decorator, Expression, FuncDef, IndexExpr, JsonDict, LambdaExpr, ListExpr, MemberExpr, NameExpr, OverloadedFuncDef, PlaceholderNode, RefExpr, SymbolTableNode, TempNode, TupleExpr, TypeApplication, TypeInfo, TypeVarExpr, Var, is_class_var, ) from mypy.plugin import SemanticAnalyzerPluginInterface from mypy.plugins.common import ( _get_argument, _get_bool_argument, _get_decorator_bool_argument, add_attribute_to_class, add_method_to_class, deserialize_and_fixup_type, ) from mypy.server.trigger import make_wildcard_trigger from mypy.state import state from mypy.typeops import ( get_type_vars, make_simplified_union, map_type_from_supertype, type_object_type, ) from mypy.types import ( AnyType, CallableType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, ProperType, TupleType, Type, TypeOfAny, TypeType, TypeVarId, TypeVarType, UninhabitedType, UnionType, get_proper_type, ) from mypy.typevars import fill_typevars from mypy.util import unmangle # The names of the different functions that create classes or arguments. attr_class_makers: Final = {"attr.s", "attr.attrs", "attr.attributes"} attr_dataclass_makers: Final = {"attr.dataclass"} attr_frozen_makers: Final = {"attr.frozen", "attrs.frozen"} attr_define_makers: Final = {"attr.define", "attr.mutable", "attrs.define", "attrs.mutable"} attr_attrib_makers: Final = {"attr.ib", "attr.attrib", "attr.attr", "attr.field", "attrs.field"} attr_optional_converters: Final = {"attr.converters.optional", "attrs.converters.optional"} SELF_TVAR_NAME: Final = "_AT" MAGIC_ATTR_NAME: Final = "__attrs_attrs__" MAGIC_ATTR_CLS_NAME_TEMPLATE: Final = "__{}_AttrsAttributes__" # The tuple subclass pattern. ATTRS_INIT_NAME: Final = "__attrs_init__" class Converter: """Holds information about a `converter=` argument""" def __init__(self, init_type: Type | None = None, ret_type: Type | None = None) -> None: self.init_type = init_type self.ret_type = ret_type class Attribute: """The value of an attr.ib() call.""" def __init__( self, name: str, alias: str | None, info: TypeInfo, has_default: bool, init: bool, kw_only: bool, converter: Converter | None, context: Context, init_type: Type | None, ) -> None: self.name = name self.alias = alias self.info = info self.has_default = has_default self.init = init self.kw_only = kw_only self.converter = converter self.context = context self.init_type = init_type def argument(self, ctx: mypy.plugin.ClassDefContext) -> Argument: """Return this attribute as an argument to __init__.""" assert self.init init_type: Type | None = None if self.converter: if self.converter.init_type: init_type = self.converter.init_type if init_type and self.init_type and self.converter.ret_type: # The converter return type should be the same type as the attribute type. # Copy type vars from attr type to converter. converter_vars = get_type_vars(self.converter.ret_type) init_vars = get_type_vars(self.init_type) if converter_vars and len(converter_vars) == len(init_vars): variables = { binder.id: arg for binder, arg in zip(converter_vars, init_vars) } init_type = expand_type(init_type, variables) else: ctx.api.fail("Cannot determine __init__ type from converter", self.context) init_type = AnyType(TypeOfAny.from_error) else: # There is no converter, the init type is the normal type. init_type = self.init_type or self.info[self.name].type unannotated = False if init_type is None: unannotated = True # Convert type not set to Any. init_type = AnyType(TypeOfAny.unannotated) else: proper_type = get_proper_type(init_type) if isinstance(proper_type, AnyType): if proper_type.type_of_any == TypeOfAny.unannotated: unannotated = True if unannotated and ctx.api.options.disallow_untyped_defs: # This is a compromise. If you don't have a type here then the # __init__ will be untyped. But since the __init__ is added it's # pointing at the decorator. So instead we also show the error in the # assignment, which is where you would fix the issue. node = self.info[self.name].node assert node is not None ctx.api.msg.need_annotation_for_var(node, self.context) if self.kw_only: arg_kind = ARG_NAMED_OPT if self.has_default else ARG_NAMED else: arg_kind = ARG_OPT if self.has_default else ARG_POS # Attrs removes leading underscores when creating the __init__ arguments. name = self.alias or self.name.lstrip("_") return Argument(Var(name, init_type), init_type, None, arg_kind) def serialize(self) -> JsonDict: """Serialize this object so it can be saved and restored.""" return { "name": self.name, "alias": self.alias, "has_default": self.has_default, "init": self.init, "kw_only": self.kw_only, "has_converter": self.converter is not None, "converter_init_type": ( self.converter.init_type.serialize() if self.converter and self.converter.init_type else None ), "context_line": self.context.line, "context_column": self.context.column, "init_type": self.init_type.serialize() if self.init_type else None, } @classmethod def deserialize( cls, info: TypeInfo, data: JsonDict, api: SemanticAnalyzerPluginInterface ) -> Attribute: """Return the Attribute that was serialized.""" raw_init_type = data["init_type"] init_type = deserialize_and_fixup_type(raw_init_type, api) if raw_init_type else None raw_converter_init_type = data["converter_init_type"] converter_init_type = ( deserialize_and_fixup_type(raw_converter_init_type, api) if raw_converter_init_type else None ) return Attribute( data["name"], data["alias"], info, data["has_default"], data["init"], data["kw_only"], Converter(converter_init_type) if data["has_converter"] else None, Context(line=data["context_line"], column=data["context_column"]), init_type, ) def expand_typevar_from_subtype(self, sub_type: TypeInfo) -> None: """Expands type vars in the context of a subtype when an attribute is inherited from a generic super type.""" if self.init_type: self.init_type = map_type_from_supertype(self.init_type, sub_type, self.info) else: self.init_type = None def _determine_eq_order(ctx: mypy.plugin.ClassDefContext) -> bool: """ Validate the combination of *cmp*, *eq*, and *order*. Derive the effective value of order. """ cmp = _get_decorator_optional_bool_argument(ctx, "cmp") eq = _get_decorator_optional_bool_argument(ctx, "eq") order = _get_decorator_optional_bool_argument(ctx, "order") if cmp is not None and any((eq is not None, order is not None)): ctx.api.fail('Don\'t mix "cmp" with "eq" and "order"', ctx.reason) # cmp takes precedence due to bw-compatibility. if cmp is not None: return cmp # If left None, equality is on and ordering mirrors equality. if eq is None: eq = True if order is None: order = eq if eq is False and order is True: ctx.api.fail("eq must be True if order is True", ctx.reason) return order def _get_decorator_optional_bool_argument( ctx: mypy.plugin.ClassDefContext, name: str, default: bool | None = None ) -> bool | None: """Return the Optional[bool] argument for the decorator. This handles both @decorator(...) and @decorator. """ if isinstance(ctx.reason, CallExpr): attr_value = _get_argument(ctx.reason, name) if attr_value: if isinstance(attr_value, NameExpr): if attr_value.fullname == "builtins.True": return True if attr_value.fullname == "builtins.False": return False if attr_value.fullname == "builtins.None": return None ctx.api.fail( f'"{name}" argument must be a True, False, or None literal', ctx.reason, code=LITERAL_REQ, ) return default return default else: return default def attr_tag_callback(ctx: mypy.plugin.ClassDefContext) -> None: """Record that we have an attrs class in the main semantic analysis pass. The later pass implemented by attr_class_maker_callback will use this to detect attrs classes in base classes. """ # The value is ignored, only the existence matters. ctx.cls.info.metadata["attrs_tag"] = {} def attr_class_maker_callback( ctx: mypy.plugin.ClassDefContext, auto_attribs_default: bool | None = False, frozen_default: bool = False, slots_default: bool = False, ) -> bool: """Add necessary dunder methods to classes decorated with attr.s. attrs is a package that lets you define classes without writing dull boilerplate code. At a quick glance, the decorator searches the class body for assignments of `attr.ib`s (or annotated variables if auto_attribs=True), then depending on how the decorator is called, it will add an __init__ or all the compare methods. For frozen=True it will turn the attrs into properties. Hashability will be set according to https://www.attrs.org/en/stable/hashing.html. See https://www.attrs.org/en/stable/how-does-it-work.html for information on how attrs works. If this returns False, some required metadata was not ready yet, and we need another pass. """ with state.strict_optional_set(ctx.api.options.strict_optional): # This hook is called during semantic analysis, but it uses a bunch of # type-checking ops, so it needs the strict optional set properly. return attr_class_maker_callback_impl( ctx, auto_attribs_default, frozen_default, slots_default ) def attr_class_maker_callback_impl( ctx: mypy.plugin.ClassDefContext, auto_attribs_default: bool | None, frozen_default: bool, slots_default: bool, ) -> bool: info = ctx.cls.info init = _get_decorator_bool_argument(ctx, "init", True) frozen = _get_frozen(ctx, frozen_default) order = _determine_eq_order(ctx) slots = _get_decorator_bool_argument(ctx, "slots", slots_default) auto_attribs = _get_decorator_optional_bool_argument(ctx, "auto_attribs", auto_attribs_default) kw_only = _get_decorator_bool_argument(ctx, "kw_only", False) match_args = _get_decorator_bool_argument(ctx, "match_args", True) for super_info in ctx.cls.info.mro[1:-1]: if "attrs_tag" in super_info.metadata and "attrs" not in super_info.metadata: # Super class is not ready yet. Request another pass. return False attributes = _analyze_class(ctx, auto_attribs, kw_only) # Check if attribute types are ready. for attr in attributes: node = info.get(attr.name) if node is None: # This name is likely blocked by some semantic analysis error that # should have been reported already. _add_empty_metadata(info) return True _add_attrs_magic_attribute(ctx, [(attr.name, info[attr.name].type) for attr in attributes]) if slots: _add_slots(ctx, attributes) if match_args and ctx.api.options.python_version[:2] >= (3, 10): # `.__match_args__` is only added for python3.10+, but the argument # exists for earlier versions as well. _add_match_args(ctx, attributes) # Save the attributes so that subclasses can reuse them. ctx.cls.info.metadata["attrs"] = { "attributes": [attr.serialize() for attr in attributes], "frozen": frozen, } adder = MethodAdder(ctx) # If __init__ is not being generated, attrs still generates it as __attrs_init__ instead. _add_init(ctx, attributes, adder, "__init__" if init else ATTRS_INIT_NAME) if order: _add_order(ctx, adder) if frozen: _make_frozen(ctx, attributes) # Frozen classes are hashable by default, even if inheriting from non-frozen ones. hashable: bool | None = _get_decorator_bool_argument( ctx, "hash", True ) and _get_decorator_bool_argument(ctx, "unsafe_hash", True) else: hashable = _get_decorator_optional_bool_argument(ctx, "unsafe_hash") if hashable is None: # unspecified hashable = _get_decorator_optional_bool_argument(ctx, "hash") eq = _get_decorator_optional_bool_argument(ctx, "eq") has_own_hash = "__hash__" in ctx.cls.info.names if has_own_hash or (hashable is None and eq is False): pass # Do nothing. elif hashable: # We copy the `__hash__` signature from `object` to make them hashable. ctx.cls.info.names["__hash__"] = ctx.cls.info.mro[-1].names["__hash__"] else: _remove_hashability(ctx) return True def _get_frozen(ctx: mypy.plugin.ClassDefContext, frozen_default: bool) -> bool: """Return whether this class is frozen.""" if _get_decorator_bool_argument(ctx, "frozen", frozen_default): return True # Subclasses of frozen classes are frozen so check that. for super_info in ctx.cls.info.mro[1:-1]: if "attrs" in super_info.metadata and super_info.metadata["attrs"]["frozen"]: return True return False def _analyze_class( ctx: mypy.plugin.ClassDefContext, auto_attribs: bool | None, kw_only: bool ) -> list[Attribute]: """Analyze the class body of an attr maker, its parents, and return the Attributes found. auto_attribs=True means we'll generate attributes from type annotations also. auto_attribs=None means we'll detect which mode to use. kw_only=True means that all attributes created here will be keyword only args in __init__. """ own_attrs: dict[str, Attribute] = {} if auto_attribs is None: auto_attribs = _detect_auto_attribs(ctx) # Walk the body looking for assignments and decorators. for stmt in ctx.cls.defs.body: if isinstance(stmt, AssignmentStmt): for attr in _attributes_from_assignment(ctx, stmt, auto_attribs, kw_only): # When attrs are defined twice in the same body we want to use the 2nd definition # in the 2nd location. So remove it from the OrderedDict. # Unless it's auto_attribs in which case we want the 2nd definition in the # 1st location. if not auto_attribs and attr.name in own_attrs: del own_attrs[attr.name] own_attrs[attr.name] = attr elif isinstance(stmt, Decorator): _cleanup_decorator(stmt, own_attrs) for attribute in own_attrs.values(): # Even though these look like class level assignments we want them to look like # instance level assignments. if attribute.name in ctx.cls.info.names: node = ctx.cls.info.names[attribute.name].node if isinstance(node, PlaceholderNode): # This node is not ready yet. continue assert isinstance(node, Var), node node.is_initialized_in_class = False # Traverse the MRO and collect attributes from the parents. taken_attr_names = set(own_attrs) super_attrs = [] for super_info in ctx.cls.info.mro[1:-1]: if "attrs" in super_info.metadata: # Each class depends on the set of attributes in its attrs ancestors. ctx.api.add_plugin_dependency(make_wildcard_trigger(super_info.fullname)) for data in super_info.metadata["attrs"]["attributes"]: # Only add an attribute if it hasn't been defined before. This # allows for overwriting attribute definitions by subclassing. if data["name"] not in taken_attr_names: a = Attribute.deserialize(super_info, data, ctx.api) a.expand_typevar_from_subtype(ctx.cls.info) super_attrs.append(a) taken_attr_names.add(a.name) attributes = super_attrs + list(own_attrs.values()) # Check the init args for correct default-ness. Note: This has to be done after all the # attributes for all classes have been read, because subclasses can override parents. last_default = False for i, attribute in enumerate(attributes): if not attribute.init: continue if attribute.kw_only: # Keyword-only attributes don't care whether they are default or not. continue # If the issue comes from merging different classes, report it # at the class definition point. context = attribute.context if i >= len(super_attrs) else ctx.cls if not attribute.has_default and last_default: ctx.api.fail("Non-default attributes not allowed after default attributes.", context) last_default |= attribute.has_default return attributes def _add_empty_metadata(info: TypeInfo) -> None: """Add empty metadata to mark that we've finished processing this class.""" info.metadata["attrs"] = {"attributes": [], "frozen": False} def _detect_auto_attribs(ctx: mypy.plugin.ClassDefContext) -> bool: """Return whether auto_attribs should be enabled or disabled. It's disabled if there are any unannotated attribs() """ for stmt in ctx.cls.defs.body: if isinstance(stmt, AssignmentStmt): for lvalue in stmt.lvalues: lvalues, rvalues = _parse_assignments(lvalue, stmt) if len(lvalues) != len(rvalues): # This means we have some assignment that isn't 1 to 1. # It can't be an attrib. continue for lhs, rvalue in zip(lvalues, rvalues): # Check if the right hand side is a call to an attribute maker. if ( isinstance(rvalue, CallExpr) and isinstance(rvalue.callee, RefExpr) and rvalue.callee.fullname in attr_attrib_makers and not stmt.new_syntax ): # This means we have an attrib without an annotation and so # we can't do auto_attribs=True return False return True def _attributes_from_assignment( ctx: mypy.plugin.ClassDefContext, stmt: AssignmentStmt, auto_attribs: bool, kw_only: bool ) -> Iterable[Attribute]: """Return Attribute objects that are created by this assignment. The assignments can look like this: x = attr.ib() x = y = attr.ib() x, y = attr.ib(), attr.ib() or if auto_attribs is enabled also like this: x: type x: type = default_value x: type = attr.ib(...) """ for lvalue in stmt.lvalues: lvalues, rvalues = _parse_assignments(lvalue, stmt) if len(lvalues) != len(rvalues): # This means we have some assignment that isn't 1 to 1. # It can't be an attrib. continue for lhs, rvalue in zip(lvalues, rvalues): # Check if the right hand side is a call to an attribute maker. if ( isinstance(rvalue, CallExpr) and isinstance(rvalue.callee, RefExpr) and rvalue.callee.fullname in attr_attrib_makers ): attr = _attribute_from_attrib_maker(ctx, auto_attribs, kw_only, lhs, rvalue, stmt) if attr: yield attr elif auto_attribs and stmt.type and stmt.new_syntax and not is_class_var(lhs): yield _attribute_from_auto_attrib(ctx, kw_only, lhs, rvalue, stmt) def _cleanup_decorator(stmt: Decorator, attr_map: dict[str, Attribute]) -> None: """Handle decorators in class bodies. `x.default` will set a default value on x `x.validator` and `x.default` will get removed to avoid throwing a type error. """ remove_me = [] for func_decorator in stmt.decorators: if ( isinstance(func_decorator, MemberExpr) and isinstance(func_decorator.expr, NameExpr) and func_decorator.expr.name in attr_map ): if func_decorator.name == "default": attr_map[func_decorator.expr.name].has_default = True if func_decorator.name in ("default", "validator"): # These are decorators on the attrib object that only exist during # class creation time. In order to not trigger a type error later we # just remove them. This might leave us with a Decorator with no # decorators (Emperor's new clothes?) # TODO: It would be nice to type-check these rather than remove them. # default should be Callable[[], T] # validator should be Callable[[Any, 'Attribute', T], Any] # where T is the type of the attribute. remove_me.append(func_decorator) for dec in remove_me: stmt.decorators.remove(dec) def _attribute_from_auto_attrib( ctx: mypy.plugin.ClassDefContext, kw_only: bool, lhs: NameExpr, rvalue: Expression, stmt: AssignmentStmt, ) -> Attribute: """Return an Attribute for a new type assignment.""" name = unmangle(lhs.name) # `x: int` (without equal sign) assigns rvalue to TempNode(AnyType()) has_rhs = not isinstance(rvalue, TempNode) sym = ctx.cls.info.names.get(name) init_type = sym.type if sym else None return Attribute(name, None, ctx.cls.info, has_rhs, True, kw_only, None, stmt, init_type) def _attribute_from_attrib_maker( ctx: mypy.plugin.ClassDefContext, auto_attribs: bool, kw_only: bool, lhs: NameExpr, rvalue: CallExpr, stmt: AssignmentStmt, ) -> Attribute | None: """Return an Attribute from the assignment or None if you can't make one.""" if auto_attribs and not stmt.new_syntax: # auto_attribs requires an annotation on *every* attr.ib. assert lhs.node is not None ctx.api.msg.need_annotation_for_var(lhs.node, stmt) return None if len(stmt.lvalues) > 1: ctx.api.fail("Too many names for one attribute", stmt) return None # This is the type that belongs in the __init__ method for this attrib. init_type = stmt.type # Read all the arguments from the call. init = _get_bool_argument(ctx, rvalue, "init", True) # Note: If the class decorator says kw_only=True the attribute is ignored. # See https://github.com/python-attrs/attrs/issues/481 for explanation. kw_only |= _get_bool_argument(ctx, rvalue, "kw_only", False) # TODO: Check for attr.NOTHING attr_has_default = bool(_get_argument(rvalue, "default")) attr_has_factory = bool(_get_argument(rvalue, "factory")) if attr_has_default and attr_has_factory: ctx.api.fail('Can\'t pass both "default" and "factory".', rvalue) elif attr_has_factory: attr_has_default = True # If the type isn't set through annotation but is passed through `type=` use that. type_arg = _get_argument(rvalue, "type") if type_arg and not init_type: try: un_type = expr_to_unanalyzed_type(type_arg, ctx.api.options, ctx.api.is_stub_file) except TypeTranslationError: ctx.api.fail("Invalid argument to type", type_arg) else: init_type = ctx.api.anal_type(un_type) if init_type and isinstance(lhs.node, Var) and not lhs.node.type: # If there is no annotation, add one. lhs.node.type = init_type lhs.is_inferred_def = False # Note: convert is deprecated but works the same as converter. converter = _get_argument(rvalue, "converter") convert = _get_argument(rvalue, "convert") if convert and converter: ctx.api.fail('Can\'t pass both "convert" and "converter".', rvalue) elif convert: ctx.api.fail("convert is deprecated, use converter", rvalue) converter = convert converter_info = _parse_converter(ctx, converter) # Custom alias might be defined: alias = None alias_expr = _get_argument(rvalue, "alias") if alias_expr: alias = ctx.api.parse_str_literal(alias_expr) if alias is None: ctx.api.fail( '"alias" argument to attrs field must be a string literal', rvalue, code=LITERAL_REQ, ) name = unmangle(lhs.name) return Attribute( name, alias, ctx.cls.info, attr_has_default, init, kw_only, converter_info, stmt, init_type ) def _parse_converter( ctx: mypy.plugin.ClassDefContext, converter_expr: Expression | None ) -> Converter | None: """Return the Converter object from an Expression.""" # TODO: Support complex converters, e.g. lambdas, calls, etc. if not converter_expr: return None converter_info = Converter() if ( isinstance(converter_expr, CallExpr) and isinstance(converter_expr.callee, RefExpr) and converter_expr.callee.fullname in attr_optional_converters and converter_expr.args and converter_expr.args[0] ): # Special handling for attr.converters.optional(type) # We extract the type and add make the init_args Optional in Attribute.argument converter_expr = converter_expr.args[0] is_attr_converters_optional = True else: is_attr_converters_optional = False converter_type: Type | None = None if isinstance(converter_expr, RefExpr) and converter_expr.node: if isinstance(converter_expr.node, FuncDef): if converter_expr.node.type and isinstance(converter_expr.node.type, FunctionLike): converter_type = converter_expr.node.type else: # The converter is an unannotated function. converter_info.init_type = AnyType(TypeOfAny.unannotated) return converter_info elif isinstance(converter_expr.node, OverloadedFuncDef) and is_valid_overloaded_converter( converter_expr.node ): converter_type = converter_expr.node.type elif isinstance(converter_expr.node, TypeInfo): converter_type = type_object_type(converter_expr.node, ctx.api.named_type) elif ( isinstance(converter_expr, IndexExpr) and isinstance(converter_expr.analyzed, TypeApplication) and isinstance(converter_expr.base, RefExpr) and isinstance(converter_expr.base.node, TypeInfo) ): # The converter is a generic type. converter_type = type_object_type(converter_expr.base.node, ctx.api.named_type) if isinstance(converter_type, CallableType): converter_type = apply_generic_arguments( converter_type, converter_expr.analyzed.types, ctx.api.msg.incompatible_typevar_value, converter_type, ) else: converter_type = None if isinstance(converter_expr, LambdaExpr): # TODO: should we send a fail if converter_expr.min_args > 1? converter_info.init_type = AnyType(TypeOfAny.unannotated) return converter_info if not converter_type: # Signal that we have an unsupported converter. ctx.api.fail( "Unsupported converter, only named functions, types and lambdas are currently " "supported", converter_expr, ) converter_info.init_type = AnyType(TypeOfAny.from_error) return converter_info converter_type = get_proper_type(converter_type) if isinstance(converter_type, CallableType) and converter_type.arg_types: converter_info.init_type = converter_type.arg_types[0] if not is_attr_converters_optional: converter_info.ret_type = converter_type.ret_type elif isinstance(converter_type, Overloaded): types: list[Type] = [] for item in converter_type.items: # Walk the overloads looking for methods that can accept one argument. num_arg_types = len(item.arg_types) if not num_arg_types: continue if num_arg_types > 1 and any(kind == ARG_POS for kind in item.arg_kinds[1:]): continue types.append(item.arg_types[0]) # Make a union of all the valid types. if types: converter_info.init_type = make_simplified_union(types) if is_attr_converters_optional and converter_info.init_type: # If the converter was attr.converter.optional(type) then add None to # the allowed init_type. converter_info.init_type = UnionType.make_union([converter_info.init_type, NoneType()]) return converter_info def is_valid_overloaded_converter(defn: OverloadedFuncDef) -> bool: return all( (not isinstance(item, Decorator) or isinstance(item.func.type, FunctionLike)) for item in defn.items ) def _parse_assignments( lvalue: Expression, stmt: AssignmentStmt ) -> tuple[list[NameExpr], list[Expression]]: """Convert a possibly complex assignment expression into lists of lvalues and rvalues.""" lvalues: list[NameExpr] = [] rvalues: list[Expression] = [] if isinstance(lvalue, (TupleExpr, ListExpr)): if all(isinstance(item, NameExpr) for item in lvalue.items): lvalues = cast(list[NameExpr], lvalue.items) if isinstance(stmt.rvalue, (TupleExpr, ListExpr)): rvalues = stmt.rvalue.items elif isinstance(lvalue, NameExpr): lvalues = [lvalue] rvalues = [stmt.rvalue] return lvalues, rvalues def _add_order(ctx: mypy.plugin.ClassDefContext, adder: MethodAdder) -> None: """Generate all the ordering methods for this class.""" bool_type = ctx.api.named_type("builtins.bool") object_type = ctx.api.named_type("builtins.object") # Make the types be: # AT = TypeVar('AT') # def __lt__(self: AT, other: AT) -> bool # This way comparisons with subclasses will work correctly. fullname = f"{ctx.cls.info.fullname}.{SELF_TVAR_NAME}" tvd = TypeVarType( SELF_TVAR_NAME, fullname, # Namespace is patched per-method below. id=TypeVarId(-1, namespace=""), values=[], upper_bound=object_type, default=AnyType(TypeOfAny.from_omitted_generics), ) self_tvar_expr = TypeVarExpr( SELF_TVAR_NAME, fullname, [], object_type, AnyType(TypeOfAny.from_omitted_generics) ) ctx.cls.info.names[SELF_TVAR_NAME] = SymbolTableNode(MDEF, self_tvar_expr) for method in ["__lt__", "__le__", "__gt__", "__ge__"]: namespace = f"{ctx.cls.info.fullname}.{method}" tvd = tvd.copy_modified(id=TypeVarId(tvd.id.raw_id, namespace=namespace)) args = [Argument(Var("other", tvd), tvd, None, ARG_POS)] adder.add_method(method, args, bool_type, self_type=tvd, tvd=tvd) def _make_frozen(ctx: mypy.plugin.ClassDefContext, attributes: list[Attribute]) -> None: """Turn all the attributes into properties to simulate frozen classes.""" for attribute in attributes: if attribute.name in ctx.cls.info.names: # This variable belongs to this class so we can modify it. node = ctx.cls.info.names[attribute.name].node if not isinstance(node, Var): # The superclass attribute was overridden with a non-variable. # No need to do anything here, override will be verified during # type checking. continue node.is_property = True else: # This variable belongs to a super class so create new Var so we # can modify it. var = Var(attribute.name, attribute.init_type) var.info = ctx.cls.info var._fullname = f"{ctx.cls.info.fullname}.{var.name}" ctx.cls.info.names[var.name] = SymbolTableNode(MDEF, var) var.is_property = True def _add_init( ctx: mypy.plugin.ClassDefContext, attributes: list[Attribute], adder: MethodAdder, method_name: Literal["__init__", "__attrs_init__"], ) -> None: """Generate an __init__ method for the attributes and add it to the class.""" # Convert attributes to arguments with kw_only arguments at the end of # the argument list pos_args = [] kw_only_args = [] sym_table = ctx.cls.info.names for attribute in attributes: if not attribute.init: continue if attribute.kw_only: kw_only_args.append(attribute.argument(ctx)) else: pos_args.append(attribute.argument(ctx)) # If the attribute is Final, present in `__init__` and has # no default, make sure it doesn't error later. if not attribute.has_default and attribute.name in sym_table: sym_node = sym_table[attribute.name].node if isinstance(sym_node, Var) and sym_node.is_final: sym_node.final_set_in_init = True args = pos_args + kw_only_args if all( # We use getattr rather than instance checks because the variable.type # might be wrapped into a Union or some other type, but even non-Any # types reliably track the fact that the argument was not annotated. getattr(arg.variable.type, "type_of_any", None) == TypeOfAny.unannotated for arg in args ): # This workaround makes --disallow-incomplete-defs usable with attrs, # but is definitely suboptimal as a long-term solution. # See https://github.com/python/mypy/issues/5954 for discussion. for a in args: a.variable.type = AnyType(TypeOfAny.implementation_artifact) a.type_annotation = AnyType(TypeOfAny.implementation_artifact) adder.add_method(method_name, args, NoneType()) def _add_attrs_magic_attribute( ctx: mypy.plugin.ClassDefContext, attrs: list[tuple[str, Type | None]] ) -> None: any_type = AnyType(TypeOfAny.explicit) attributes_types: list[Type] = [ ctx.api.named_type_or_none("attr.Attribute", [attr_type or any_type]) or any_type for _, attr_type in attrs ] fallback_type = ctx.api.named_type( "builtins.tuple", [ctx.api.named_type_or_none("attr.Attribute", [any_type]) or any_type] ) attr_name = MAGIC_ATTR_CLS_NAME_TEMPLATE.format(ctx.cls.fullname.replace(".", "_")) ti = ctx.api.basic_new_typeinfo(attr_name, fallback_type, 0) for (name, _), attr_type in zip(attrs, attributes_types): var = Var(name, attr_type) var._fullname = name var.is_property = True proper_type = get_proper_type(attr_type) if isinstance(proper_type, Instance): var.info = proper_type.type ti.names[name] = SymbolTableNode(MDEF, var, plugin_generated=True) attributes_type = Instance(ti, []) # We need to stash the type of the magic attribute so it can be # loaded on cached runs. ctx.cls.info.names[attr_name] = SymbolTableNode(MDEF, ti, plugin_generated=True) add_attribute_to_class( ctx.api, ctx.cls, MAGIC_ATTR_NAME, TupleType(attributes_types, fallback=attributes_type), fullname=f"{ctx.cls.fullname}.{MAGIC_ATTR_NAME}", override_allow_incompatible=True, is_classvar=True, ) def _add_slots(ctx: mypy.plugin.ClassDefContext, attributes: list[Attribute]) -> None: if any(p.slots is None for p in ctx.cls.info.mro[1:-1]): # At least one type in mro (excluding `self` and `object`) # does not have concrete `__slots__` defined. Ignoring. return # Unlike `@dataclasses.dataclass`, `__slots__` is rewritten here. ctx.cls.info.slots = {attr.name for attr in attributes} # Also, inject `__slots__` attribute to class namespace: slots_type = TupleType( [ctx.api.named_type("builtins.str") for _ in attributes], fallback=ctx.api.named_type("builtins.tuple"), ) add_attribute_to_class(api=ctx.api, cls=ctx.cls, name="__slots__", typ=slots_type) def _add_match_args(ctx: mypy.plugin.ClassDefContext, attributes: list[Attribute]) -> None: if ( "__match_args__" not in ctx.cls.info.names or ctx.cls.info.names["__match_args__"].plugin_generated ): str_type = ctx.api.named_type("builtins.str") match_args = TupleType( [ str_type.copy_modified(last_known_value=LiteralType(attr.name, fallback=str_type)) for attr in attributes if not attr.kw_only and attr.init ], fallback=ctx.api.named_type("builtins.tuple"), ) add_attribute_to_class(api=ctx.api, cls=ctx.cls, name="__match_args__", typ=match_args) def _remove_hashability(ctx: mypy.plugin.ClassDefContext) -> None: """Remove hashability from a class.""" add_attribute_to_class( ctx.api, ctx.cls, "__hash__", NoneType(), is_classvar=True, overwrite_existing=True ) class MethodAdder: """Helper to add methods to a TypeInfo. ctx: The ClassDefCtx we are using on which we will add methods. """ # TODO: Combine this with the code build_namedtuple_typeinfo to support both. def __init__(self, ctx: mypy.plugin.ClassDefContext) -> None: self.ctx = ctx self.self_type = fill_typevars(ctx.cls.info) def add_method( self, method_name: str, args: list[Argument], ret_type: Type, self_type: Type | None = None, tvd: TypeVarType | None = None, ) -> None: """Add a method: def (self, ) -> ): ... to info. self_type: The type to use for the self argument or None to use the inferred self type. tvd: If the method is generic these should be the type variables. """ self_type = self_type if self_type is not None else self.self_type add_method_to_class( self.ctx.api, self.ctx.cls, method_name, args, ret_type, self_type, tvd ) def _get_attrs_init_type(typ: Instance) -> CallableType | None: """ If `typ` refers to an attrs class, get the type of its initializer method. """ magic_attr = typ.type.get(MAGIC_ATTR_NAME) if magic_attr is None or not magic_attr.plugin_generated: return None init_method = typ.type.get_method("__init__") or typ.type.get_method(ATTRS_INIT_NAME) if not isinstance(init_method, FuncDef) or not isinstance(init_method.type, CallableType): return None return init_method.type def _fail_not_attrs_class(ctx: mypy.plugin.FunctionSigContext, t: Type, parent_t: Type) -> None: t_name = format_type_bare(t, ctx.api.options) if parent_t is t: msg = ( f'Argument 1 to "evolve" has a variable type "{t_name}" not bound to an attrs class' if isinstance(t, TypeVarType) else f'Argument 1 to "evolve" has incompatible type "{t_name}"; expected an attrs class' ) else: pt_name = format_type_bare(parent_t, ctx.api.options) msg = ( f'Argument 1 to "evolve" has type "{pt_name}" whose item "{t_name}" is not bound to an attrs class' if isinstance(t, TypeVarType) else f'Argument 1 to "evolve" has incompatible type "{pt_name}" whose item "{t_name}" is not an attrs class' ) ctx.api.fail(msg, ctx.context) def _get_expanded_attr_types( ctx: mypy.plugin.FunctionSigContext, typ: ProperType, display_typ: ProperType, parent_typ: ProperType, ) -> list[Mapping[str, Type]] | None: """ For a given type, determine what attrs classes it can be: for each class, return the field types. For generic classes, the field types are expanded. If the type contains Any or a non-attrs type, returns None; in the latter case, also reports an error. """ if isinstance(typ, AnyType): return None elif isinstance(typ, UnionType): ret: list[Mapping[str, Type]] | None = [] for item in typ.relevant_items(): item = get_proper_type(item) item_types = _get_expanded_attr_types(ctx, item, item, parent_typ) if ret is not None and item_types is not None: ret += item_types else: ret = None # but keep iterating to emit all errors return ret elif isinstance(typ, TypeVarType): return _get_expanded_attr_types( ctx, get_proper_type(typ.upper_bound), display_typ, parent_typ ) elif isinstance(typ, Instance): init_func = _get_attrs_init_type(typ) if init_func is None: _fail_not_attrs_class(ctx, display_typ, parent_typ) return None init_func = expand_type_by_instance(init_func, typ) # [1:] to skip the self argument of AttrClass.__init__ field_names = cast(list[str], init_func.arg_names[1:]) field_types = init_func.arg_types[1:] return [dict(zip(field_names, field_types))] else: _fail_not_attrs_class(ctx, display_typ, parent_typ) return None def _meet_fields(types: list[Mapping[str, Type]]) -> Mapping[str, Type]: """ "Meet" the fields of a list of attrs classes, i.e. for each field, its new type will be the lower bound. """ field_to_types = defaultdict(list) for fields in types: for name, typ in fields.items(): field_to_types[name].append(typ) return { name: ( get_proper_type(reduce(meet_types, f_types)) if len(f_types) == len(types) else UninhabitedType() ) for name, f_types in field_to_types.items() } def evolve_function_sig_callback(ctx: mypy.plugin.FunctionSigContext) -> CallableType: """ Generate a signature for the 'attr.evolve' function that's specific to the call site and dependent on the type of the first argument. """ if len(ctx.args) != 2: # Ideally the name and context should be callee's, but we don't have it in FunctionSigContext. ctx.api.fail(f'"{ctx.default_signature.name}" has unexpected type annotation', ctx.context) return ctx.default_signature if len(ctx.args[0]) != 1: return ctx.default_signature # leave it to the type checker to complain inst_arg = ctx.args[0][0] inst_type = get_proper_type(ctx.api.get_expression_type(inst_arg)) inst_type_str = format_type_bare(inst_type, ctx.api.options) attr_types = _get_expanded_attr_types(ctx, inst_type, inst_type, inst_type) if attr_types is None: return ctx.default_signature fields = _meet_fields(attr_types) return CallableType( arg_names=["inst", *fields.keys()], arg_kinds=[ARG_POS] + [ARG_NAMED_OPT] * len(fields), arg_types=[inst_type, *fields.values()], ret_type=inst_type, fallback=ctx.default_signature.fallback, name=f"{ctx.default_signature.name} of {inst_type_str}", ) def fields_function_sig_callback(ctx: mypy.plugin.FunctionSigContext) -> CallableType: """Provide the signature for `attrs.fields`.""" if len(ctx.args) != 1 or len(ctx.args[0]) != 1: return ctx.default_signature proper_type = get_proper_type(ctx.api.get_expression_type(ctx.args[0][0])) # fields(Any) -> Any, fields(type[Any]) -> Any if ( isinstance(proper_type, AnyType) or isinstance(proper_type, TypeType) and isinstance(proper_type.item, AnyType) ): return ctx.default_signature cls = None arg_types = ctx.default_signature.arg_types if isinstance(proper_type, TypeVarType): inner = get_proper_type(proper_type.upper_bound) if isinstance(inner, Instance): # We need to work arg_types to compensate for the attrs stubs. arg_types = [proper_type] cls = inner.type elif isinstance(proper_type, CallableType): cls = proper_type.type_object() if cls is not None and MAGIC_ATTR_NAME in cls.names: # This is a proper attrs class. ret_type = cls.names[MAGIC_ATTR_NAME].type assert ret_type is not None return ctx.default_signature.copy_modified(arg_types=arg_types, ret_type=ret_type) return ctx.default_signature ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/common.py0000644000175100017510000003344515112307767016611 0ustar00runnerrunnerfrom __future__ import annotations from typing import NamedTuple from mypy.argmap import map_actuals_to_formals from mypy.fixup import TypeFixer from mypy.nodes import ( ARG_POS, MDEF, SYMBOL_FUNCBASE_TYPES, Argument, Block, CallExpr, ClassDef, Decorator, Expression, FuncDef, JsonDict, NameExpr, Node, OverloadedFuncDef, PassStmt, RefExpr, SymbolTableNode, TypeInfo, Var, ) from mypy.plugin import CheckerPluginInterface, ClassDefContext, SemanticAnalyzerPluginInterface from mypy.semanal_shared import ( ALLOW_INCOMPATIBLE_OVERRIDE, parse_bool, require_bool_literal_argument, set_callable_name, ) from mypy.typeops import try_getting_str_literals as try_getting_str_literals from mypy.types import ( AnyType, CallableType, Instance, LiteralType, NoneType, Overloaded, Type, TypeOfAny, TypeType, TypeVarType, deserialize_type, get_proper_type, ) from mypy.types_utils import is_overlapping_none from mypy.typevars import fill_typevars from mypy.util import get_unique_redefinition_name def _get_decorator_bool_argument(ctx: ClassDefContext, name: str, default: bool) -> bool: """Return the bool argument for the decorator. This handles both @decorator(...) and @decorator. """ if isinstance(ctx.reason, CallExpr): return _get_bool_argument(ctx, ctx.reason, name, default) else: return default def _get_bool_argument(ctx: ClassDefContext, expr: CallExpr, name: str, default: bool) -> bool: """Return the boolean value for an argument to a call or the default if it's not found. """ attr_value = _get_argument(expr, name) if attr_value: return require_bool_literal_argument(ctx.api, attr_value, name, default) return default def _get_argument(call: CallExpr, name: str) -> Expression | None: """Return the expression for the specific argument.""" # To do this we use the CallableType of the callee to find the FormalArgument, # then walk the actual CallExpr looking for the appropriate argument. # # Note: I'm not hard-coding the index so that in the future we can support other # attrib and class makers. callee_type = _get_callee_type(call) if not callee_type: return None argument = callee_type.argument_by_name(name) if not argument: return None assert argument.name for i, (attr_name, attr_value) in enumerate(zip(call.arg_names, call.args)): if argument.pos is not None and not attr_name and i == argument.pos: return attr_value if attr_name == argument.name: return attr_value return None def find_shallow_matching_overload_item(overload: Overloaded, call: CallExpr) -> CallableType: """Perform limited lookup of a matching overload item. Full overload resolution is only supported during type checking, but plugins sometimes need to resolve overloads. This can be used in some such use cases. Resolve overloads based on these things only: * Match using argument kinds and names * If formal argument has type None, only accept the "None" expression in the callee * If formal argument has type Literal[True] or Literal[False], only accept the relevant bool literal Return the first matching overload item, or the last one if nothing matches. """ for item in overload.items[:-1]: ok = True mapped = map_actuals_to_formals( call.arg_kinds, call.arg_names, item.arg_kinds, item.arg_names, lambda i: AnyType(TypeOfAny.special_form), ) # Look for extra actuals matched_actuals = set() for actuals in mapped: matched_actuals.update(actuals) if any(i not in matched_actuals for i in range(len(call.args))): ok = False for arg_type, kind, actuals in zip(item.arg_types, item.arg_kinds, mapped): if kind.is_required() and not actuals: # Missing required argument ok = False break elif actuals: args = [call.args[i] for i in actuals] arg_type = get_proper_type(arg_type) arg_none = any(isinstance(arg, NameExpr) and arg.name == "None" for arg in args) if isinstance(arg_type, NoneType): if not arg_none: ok = False break elif ( arg_none and not is_overlapping_none(arg_type) and not ( isinstance(arg_type, Instance) and arg_type.type.fullname == "builtins.object" ) and not isinstance(arg_type, AnyType) ): ok = False break elif isinstance(arg_type, LiteralType) and isinstance(arg_type.value, bool): if not any(parse_bool(arg) == arg_type.value for arg in args): ok = False break if ok: return item return overload.items[-1] def _get_callee_type(call: CallExpr) -> CallableType | None: """Return the type of the callee, regardless of its syntactic form.""" callee_node: Node | None = call.callee if isinstance(callee_node, RefExpr): callee_node = callee_node.node # Some decorators may be using typing.dataclass_transform, which is itself a decorator, so we # need to unwrap them to get at the true callee if isinstance(callee_node, Decorator): callee_node = callee_node.func if isinstance(callee_node, (Var, SYMBOL_FUNCBASE_TYPES)) and callee_node.type: callee_node_type = get_proper_type(callee_node.type) if isinstance(callee_node_type, Overloaded): return find_shallow_matching_overload_item(callee_node_type, call) elif isinstance(callee_node_type, CallableType): return callee_node_type return None def add_method( ctx: ClassDefContext, name: str, args: list[Argument], return_type: Type, self_type: Type | None = None, tvar_def: TypeVarType | None = None, is_classmethod: bool = False, is_staticmethod: bool = False, ) -> None: """ Adds a new method to a class. Deprecated, use add_method_to_class() instead. """ add_method_to_class( ctx.api, ctx.cls, name=name, args=args, return_type=return_type, self_type=self_type, tvar_def=tvar_def, is_classmethod=is_classmethod, is_staticmethod=is_staticmethod, ) class MethodSpec(NamedTuple): """Represents a method signature to be added, except for `name`.""" args: list[Argument] return_type: Type self_type: Type | None = None tvar_defs: list[TypeVarType] | None = None def add_method_to_class( api: SemanticAnalyzerPluginInterface | CheckerPluginInterface, cls: ClassDef, name: str, # MethodSpec items kept for backward compatibility: args: list[Argument], return_type: Type, self_type: Type | None = None, tvar_def: list[TypeVarType] | TypeVarType | None = None, is_classmethod: bool = False, is_staticmethod: bool = False, ) -> FuncDef | Decorator: """Adds a new method to a class definition.""" _prepare_class_namespace(cls, name) if tvar_def is not None and not isinstance(tvar_def, list): tvar_def = [tvar_def] func, sym = _add_method_by_spec( api, cls.info, name, MethodSpec(args=args, return_type=return_type, self_type=self_type, tvar_defs=tvar_def), is_classmethod=is_classmethod, is_staticmethod=is_staticmethod, ) cls.info.names[name] = sym cls.info.defn.defs.body.append(func) return func def add_overloaded_method_to_class( api: SemanticAnalyzerPluginInterface | CheckerPluginInterface, cls: ClassDef, name: str, items: list[MethodSpec], is_classmethod: bool = False, is_staticmethod: bool = False, ) -> OverloadedFuncDef: """Adds a new overloaded method to a class definition.""" assert len(items) >= 2, "Overloads must contain at least two cases" # Save old definition, if it exists. _prepare_class_namespace(cls, name) # Create function bodies for each passed method spec. funcs: list[Decorator | FuncDef] = [] for item in items: func, _sym = _add_method_by_spec( api, cls.info, name=name, spec=item, is_classmethod=is_classmethod, is_staticmethod=is_staticmethod, ) if isinstance(func, FuncDef): var = Var(func.name, func.type) var.set_line(func.line) func.is_decorated = True deco = Decorator(func, [], var) else: deco = func deco.is_overload = True funcs.append(deco) # Create the final OverloadedFuncDef node: overload_def = OverloadedFuncDef(funcs) overload_def.info = cls.info overload_def.is_class = is_classmethod overload_def.is_static = is_staticmethod sym = SymbolTableNode(MDEF, overload_def) sym.plugin_generated = True cls.info.names[name] = sym cls.info.defn.defs.body.append(overload_def) return overload_def def _prepare_class_namespace(cls: ClassDef, name: str) -> None: info = cls.info assert info # First remove any previously generated methods with the same name # to avoid clashes and problems in the semantic analyzer. if name in info.names: sym = info.names[name] if sym.plugin_generated and isinstance(sym.node, FuncDef): cls.defs.body.remove(sym.node) # NOTE: we would like the plugin generated node to dominate, but we still # need to keep any existing definitions so they get semantically analyzed. if name in info.names: # Get a nice unique name instead. r_name = get_unique_redefinition_name(name, info.names) info.names[r_name] = info.names[name] def _add_method_by_spec( api: SemanticAnalyzerPluginInterface | CheckerPluginInterface, info: TypeInfo, name: str, spec: MethodSpec, *, is_classmethod: bool, is_staticmethod: bool, ) -> tuple[FuncDef | Decorator, SymbolTableNode]: args, return_type, self_type, tvar_defs = spec assert not ( is_classmethod is True and is_staticmethod is True ), "Can't add a new method that's both staticmethod and classmethod." if isinstance(api, SemanticAnalyzerPluginInterface): function_type = api.named_type("builtins.function") else: function_type = api.named_generic_type("builtins.function", []) if is_classmethod: self_type = self_type or TypeType(fill_typevars(info)) first = [Argument(Var("_cls"), self_type, None, ARG_POS, True)] elif is_staticmethod: first = [] else: self_type = self_type or fill_typevars(info) first = [Argument(Var("self"), self_type, None, ARG_POS)] args = first + args arg_types, arg_names, arg_kinds = [], [], [] for arg in args: assert arg.type_annotation, "All arguments must be fully typed." arg_types.append(arg.type_annotation) arg_names.append(arg.variable.name) arg_kinds.append(arg.kind) signature = CallableType(arg_types, arg_kinds, arg_names, return_type, function_type) if tvar_defs: signature.variables = tuple(tvar_defs) func = FuncDef(name, args, Block([PassStmt()])) func.info = info func.type = set_callable_name(signature, func) func.is_class = is_classmethod func.is_static = is_staticmethod func._fullname = info.fullname + "." + name func.line = info.line # Add decorator for is_staticmethod. It's unnecessary for is_classmethod. if is_staticmethod: func.is_decorated = True v = Var(name, func.type) v.info = info v._fullname = func._fullname v.is_staticmethod = True dec = Decorator(func, [], v) dec.line = info.line sym = SymbolTableNode(MDEF, dec) sym.plugin_generated = True return dec, sym sym = SymbolTableNode(MDEF, func) sym.plugin_generated = True return func, sym def add_attribute_to_class( api: SemanticAnalyzerPluginInterface, cls: ClassDef, name: str, typ: Type, final: bool = False, no_serialize: bool = False, override_allow_incompatible: bool = False, fullname: str | None = None, is_classvar: bool = False, overwrite_existing: bool = False, ) -> Var: """ Adds a new attribute to a class definition. This currently only generates the symbol table entry and no corresponding AssignmentStatement """ info = cls.info # NOTE: we would like the plugin generated node to dominate, but we still # need to keep any existing definitions so they get semantically analyzed. if name in info.names and not overwrite_existing: # Get a nice unique name instead. r_name = get_unique_redefinition_name(name, info.names) info.names[r_name] = info.names[name] node = Var(name, typ) node.info = info node.is_final = final node.is_classvar = is_classvar if name in ALLOW_INCOMPATIBLE_OVERRIDE: node.allow_incompatible_override = True else: node.allow_incompatible_override = override_allow_incompatible if fullname: node._fullname = fullname else: node._fullname = info.fullname + "." + name info.names[name] = SymbolTableNode( MDEF, node, plugin_generated=True, no_serialize=no_serialize ) return node def deserialize_and_fixup_type(data: str | JsonDict, api: SemanticAnalyzerPluginInterface) -> Type: typ = deserialize_type(data) typ.accept(TypeFixer(api.modules, allow_missing=False)) return typ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/constants.py0000644000175100017510000000146315112307767017330 0ustar00runnerrunner"""Constant definitions for plugins kept here to help with import cycles.""" from typing import Final from mypy.semanal_enum import ENUM_BASES SINGLEDISPATCH_TYPE: Final = "functools._SingleDispatchCallable" SINGLEDISPATCH_REGISTER_METHOD: Final = f"{SINGLEDISPATCH_TYPE}.register" SINGLEDISPATCH_CALLABLE_CALL_METHOD: Final = f"{SINGLEDISPATCH_TYPE}.__call__" SINGLEDISPATCH_REGISTER_RETURN_CLASS: Final = "_SingleDispatchRegisterCallable" SINGLEDISPATCH_REGISTER_CALLABLE_CALL_METHOD: Final = ( f"functools.{SINGLEDISPATCH_REGISTER_RETURN_CLASS}.__call__" ) ENUM_NAME_ACCESS: Final = {f"{prefix}.name" for prefix in ENUM_BASES} | { f"{prefix}._name_" for prefix in ENUM_BASES } ENUM_VALUE_ACCESS: Final = {f"{prefix}.value" for prefix in ENUM_BASES} | { f"{prefix}._value_" for prefix in ENUM_BASES } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/ctypes.py0000644000175100017510000002466315112307767016632 0ustar00runnerrunner"""Plugin to provide accurate types for some parts of the ctypes module.""" from __future__ import annotations # Fully qualified instead of "from mypy.plugin import ..." to avoid circular import problems. import mypy.plugin from mypy import nodes from mypy.maptype import map_instance_to_supertype from mypy.messages import format_type from mypy.subtypes import is_subtype from mypy.typeops import make_simplified_union from mypy.types import ( AnyType, CallableType, Instance, NoneType, ProperType, Type, TypeOfAny, UnionType, flatten_nested_unions, get_proper_type, ) def _find_simplecdata_base_arg( tp: Instance, api: mypy.plugin.CheckerPluginInterface ) -> ProperType | None: """Try to find a parametrized _SimpleCData in tp's bases and return its single type argument. None is returned if _SimpleCData appears nowhere in tp's (direct or indirect) bases. """ if tp.type.has_base("_ctypes._SimpleCData"): simplecdata_base = map_instance_to_supertype( tp, api.named_generic_type("_ctypes._SimpleCData", [AnyType(TypeOfAny.special_form)]).type, ) assert len(simplecdata_base.args) == 1, "_SimpleCData takes exactly one type argument" return get_proper_type(simplecdata_base.args[0]) return None def _autoconvertible_to_cdata(tp: Type, api: mypy.plugin.CheckerPluginInterface) -> Type: """Get a type that is compatible with all types that can be implicitly converted to the given CData type. Examples: * c_int -> Union[c_int, int] * c_char_p -> Union[c_char_p, bytes, int, NoneType] * MyStructure -> MyStructure """ allowed_types = [] # If tp is a union, we allow all types that are convertible to at least one of the union # items. This is not quite correct - strictly speaking, only types convertible to *all* of the # union items should be allowed. This may be worth changing in the future, but the more # correct algorithm could be too strict to be useful. for t in flatten_nested_unions([tp]): t = get_proper_type(t) # Every type can be converted from itself (obviously). allowed_types.append(t) if isinstance(t, Instance): unboxed = _find_simplecdata_base_arg(t, api) if unboxed is not None: # If _SimpleCData appears in tp's (direct or indirect) bases, its type argument # specifies the type's "unboxed" version, which can always be converted back to # the original "boxed" type. allowed_types.append(unboxed) if t.type.has_base("ctypes._PointerLike"): # Pointer-like _SimpleCData subclasses can also be converted from # an int or None. allowed_types.append(api.named_generic_type("builtins.int", [])) allowed_types.append(NoneType()) return make_simplified_union(allowed_types) def _autounboxed_cdata(tp: Type) -> ProperType: """Get the auto-unboxed version of a CData type, if applicable. For *direct* _SimpleCData subclasses, the only type argument of _SimpleCData in the bases list is returned. For all other CData types, including indirect _SimpleCData subclasses, tp is returned as-is. """ tp = get_proper_type(tp) if isinstance(tp, UnionType): return make_simplified_union([_autounboxed_cdata(t) for t in tp.items]) elif isinstance(tp, Instance): for base in tp.type.bases: if base.type.fullname == "_ctypes._SimpleCData": # If tp has _SimpleCData as a direct base class, # the auto-unboxed type is the single type argument of the _SimpleCData type. assert len(base.args) == 1 return get_proper_type(base.args[0]) # If tp is not a concrete type, or if there is no _SimpleCData in the bases, # the type is not auto-unboxed. return tp def _get_array_element_type(tp: Type) -> ProperType | None: """Get the element type of the Array type tp, or None if not specified.""" tp = get_proper_type(tp) if isinstance(tp, Instance): assert tp.type.fullname == "_ctypes.Array" if len(tp.args) == 1: return get_proper_type(tp.args[0]) return None def array_constructor_callback(ctx: mypy.plugin.FunctionContext) -> Type: """Callback to provide an accurate signature for the ctypes.Array constructor.""" # Extract the element type from the constructor's return type, i. e. the type of the array # being constructed. et = _get_array_element_type(ctx.default_return_type) if et is not None: allowed = _autoconvertible_to_cdata(et, ctx.api) assert ( len(ctx.arg_types) == 1 ), "The stub of the ctypes.Array constructor should have a single vararg parameter" for arg_num, (arg_kind, arg_type) in enumerate(zip(ctx.arg_kinds[0], ctx.arg_types[0]), 1): if arg_kind == nodes.ARG_POS and not is_subtype(arg_type, allowed): ctx.api.msg.fail( "Array constructor argument {} of type {}" " is not convertible to the array element type {}".format( arg_num, format_type(arg_type, ctx.api.options), format_type(et, ctx.api.options), ), ctx.context, ) elif arg_kind == nodes.ARG_STAR: ty = ctx.api.named_generic_type("typing.Iterable", [allowed]) if not is_subtype(arg_type, ty): it = ctx.api.named_generic_type("typing.Iterable", [et]) ctx.api.msg.fail( "Array constructor argument {} of type {}" " is not convertible to the array element type {}".format( arg_num, format_type(arg_type, ctx.api.options), format_type(it, ctx.api.options), ), ctx.context, ) return ctx.default_return_type def array_getitem_callback(ctx: mypy.plugin.MethodContext) -> Type: """Callback to provide an accurate return type for ctypes.Array.__getitem__.""" et = _get_array_element_type(ctx.type) if et is not None: unboxed = _autounboxed_cdata(et) assert ( len(ctx.arg_types) == 1 ), "The stub of ctypes.Array.__getitem__ should have exactly one parameter" assert ( len(ctx.arg_types[0]) == 1 ), "ctypes.Array.__getitem__'s parameter should not be variadic" index_type = get_proper_type(ctx.arg_types[0][0]) if isinstance(index_type, Instance): if index_type.type.has_base("builtins.int"): return unboxed elif index_type.type.has_base("builtins.slice"): return ctx.api.named_generic_type("builtins.list", [unboxed]) return ctx.default_return_type def array_setitem_callback(ctx: mypy.plugin.MethodSigContext) -> CallableType: """Callback to provide an accurate signature for ctypes.Array.__setitem__.""" et = _get_array_element_type(ctx.type) if et is not None: allowed = _autoconvertible_to_cdata(et, ctx.api) assert len(ctx.default_signature.arg_types) == 2 index_type = get_proper_type(ctx.default_signature.arg_types[0]) if isinstance(index_type, Instance): arg_type = None if index_type.type.has_base("builtins.int"): arg_type = allowed elif index_type.type.has_base("builtins.slice"): arg_type = ctx.api.named_generic_type("builtins.list", [allowed]) if arg_type is not None: # Note: arg_type can only be None if index_type is invalid, in which case we use # the default signature and let mypy report an error about it. return ctx.default_signature.copy_modified( arg_types=ctx.default_signature.arg_types[:1] + [arg_type] ) return ctx.default_signature def array_iter_callback(ctx: mypy.plugin.MethodContext) -> Type: """Callback to provide an accurate return type for ctypes.Array.__iter__.""" et = _get_array_element_type(ctx.type) if et is not None: unboxed = _autounboxed_cdata(et) return ctx.api.named_generic_type("typing.Iterator", [unboxed]) return ctx.default_return_type def array_value_callback(ctx: mypy.plugin.AttributeContext) -> Type: """Callback to provide an accurate type for ctypes.Array.value.""" et = _get_array_element_type(ctx.type) if et is not None: types: list[Type] = [] for tp in flatten_nested_unions([et]): tp = get_proper_type(tp) if isinstance(tp, AnyType): types.append(AnyType(TypeOfAny.from_another_any, source_any=tp)) elif isinstance(tp, Instance) and tp.type.fullname == "ctypes.c_char": types.append(ctx.api.named_generic_type("builtins.bytes", [])) elif isinstance(tp, Instance) and tp.type.fullname == "ctypes.c_wchar": types.append(ctx.api.named_generic_type("builtins.str", [])) else: ctx.api.msg.fail( 'Array attribute "value" is only available' ' with element type "c_char" or "c_wchar", not {}'.format( format_type(et, ctx.api.options) ), ctx.context, ) return make_simplified_union(types) return ctx.default_attr_type def array_raw_callback(ctx: mypy.plugin.AttributeContext) -> Type: """Callback to provide an accurate type for ctypes.Array.raw.""" et = _get_array_element_type(ctx.type) if et is not None: types: list[Type] = [] for tp in flatten_nested_unions([et]): tp = get_proper_type(tp) if ( isinstance(tp, AnyType) or isinstance(tp, Instance) and tp.type.fullname == "ctypes.c_char" ): types.append(ctx.api.named_generic_type("builtins.bytes", [])) else: ctx.api.msg.fail( 'Array attribute "raw" is only available' ' with element type "c_char", not {}'.format(format_type(et, ctx.api.options)), ctx.context, ) return make_simplified_union(types) return ctx.default_attr_type ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/dataclasses.py0000644000175100017510000013370315112307767017606 0ustar00runnerrunner"""Plugin that provides support for dataclasses.""" from __future__ import annotations from collections.abc import Iterator from typing import TYPE_CHECKING, Final, Literal from mypy import errorcodes, message_registry from mypy.expandtype import expand_type, expand_type_by_instance from mypy.meet import meet_types from mypy.messages import format_type_bare from mypy.nodes import ( ARG_NAMED, ARG_NAMED_OPT, ARG_OPT, ARG_POS, ARG_STAR, ARG_STAR2, MDEF, Argument, AssignmentStmt, Block, CallExpr, ClassDef, Context, DataclassTransformSpec, Decorator, EllipsisExpr, Expression, FuncDef, FuncItem, IfStmt, JsonDict, NameExpr, Node, PlaceholderNode, RefExpr, Statement, SymbolTableNode, TempNode, TypeAlias, TypeInfo, TypeVarExpr, Var, ) from mypy.plugin import ClassDefContext, FunctionSigContext, SemanticAnalyzerPluginInterface from mypy.plugins.common import ( _get_callee_type, _get_decorator_bool_argument, add_attribute_to_class, add_method_to_class, deserialize_and_fixup_type, ) from mypy.semanal_shared import find_dataclass_transform_spec, require_bool_literal_argument from mypy.server.trigger import make_wildcard_trigger from mypy.state import state from mypy.typeops import map_type_from_supertype, try_getting_literals_from_type from mypy.types import ( AnyType, CallableType, FunctionLike, Instance, LiteralType, NoneType, ProperType, TupleType, Type, TypeOfAny, TypeVarId, TypeVarType, UninhabitedType, UnionType, get_proper_type, ) from mypy.typevars import fill_typevars if TYPE_CHECKING: from mypy.checker import TypeChecker # The set of decorators that generate dataclasses. dataclass_makers: Final = {"dataclass", "dataclasses.dataclass"} # Default field specifiers for dataclasses DATACLASS_FIELD_SPECIFIERS: Final = ("dataclasses.Field", "dataclasses.field") SELF_TVAR_NAME: Final = "_DT" _TRANSFORM_SPEC_FOR_DATACLASSES: Final = DataclassTransformSpec( eq_default=True, order_default=False, kw_only_default=False, frozen_default=False, field_specifiers=DATACLASS_FIELD_SPECIFIERS, ) _INTERNAL_REPLACE_SYM_NAME: Final = "__mypy-replace" _INTERNAL_POST_INIT_SYM_NAME: Final = "__mypy-post_init" class DataclassAttribute: def __init__( self, name: str, alias: str | None, is_in_init: bool, is_init_var: bool, has_default: bool, line: int, column: int, type: Type | None, info: TypeInfo, kw_only: bool, is_neither_frozen_nor_nonfrozen: bool, api: SemanticAnalyzerPluginInterface, ) -> None: self.name = name self.alias = alias self.is_in_init = is_in_init self.is_init_var = is_init_var self.has_default = has_default self.line = line self.column = column self.type = type # Type as __init__ argument self.info = info self.kw_only = kw_only self.is_neither_frozen_nor_nonfrozen = is_neither_frozen_nor_nonfrozen self._api = api def to_argument( self, current_info: TypeInfo, *, of: Literal["__init__", "replace", "__post_init__"] ) -> Argument: if of == "__init__": arg_kind = ARG_POS if self.kw_only and self.has_default: arg_kind = ARG_NAMED_OPT elif self.kw_only and not self.has_default: arg_kind = ARG_NAMED elif not self.kw_only and self.has_default: arg_kind = ARG_OPT elif of == "replace": arg_kind = ARG_NAMED if self.is_init_var and not self.has_default else ARG_NAMED_OPT elif of == "__post_init__": # We always use `ARG_POS` without a default value, because it is practical. # Consider this case: # # @dataclass # class My: # y: dataclasses.InitVar[str] = 'a' # def __post_init__(self, y: str) -> None: ... # # We would be *required* to specify `y: str = ...` if default is added here. # But, most people won't care about adding default values to `__post_init__`, # because it is not designed to be called directly, and duplicating default values # for the sake of type-checking is unpleasant. arg_kind = ARG_POS return Argument( variable=self.to_var(current_info), type_annotation=self.expand_type(current_info), initializer=EllipsisExpr() if self.has_default else None, # Only used by stubgen kind=arg_kind, ) def expand_type(self, current_info: TypeInfo) -> Type | None: if self.type is not None and self.info.self_type is not None: # In general, it is not safe to call `expand_type()` during semantic analysis, # however this plugin is called very late, so all types should be fully ready. # Also, it is tricky to avoid eager expansion of Self types here (e.g. because # we serialize attributes). with state.strict_optional_set(self._api.options.strict_optional): return expand_type( self.type, {self.info.self_type.id: fill_typevars(current_info)} ) return self.type def to_var(self, current_info: TypeInfo) -> Var: return Var(self.alias or self.name, self.expand_type(current_info)) def serialize(self) -> JsonDict: assert self.type return { "name": self.name, "alias": self.alias, "is_in_init": self.is_in_init, "is_init_var": self.is_init_var, "has_default": self.has_default, "line": self.line, "column": self.column, "type": self.type.serialize(), "kw_only": self.kw_only, "is_neither_frozen_nor_nonfrozen": self.is_neither_frozen_nor_nonfrozen, } @classmethod def deserialize( cls, info: TypeInfo, data: JsonDict, api: SemanticAnalyzerPluginInterface ) -> DataclassAttribute: data = data.copy() typ = deserialize_and_fixup_type(data.pop("type"), api) return cls(type=typ, info=info, **data, api=api) def expand_typevar_from_subtype(self, sub_type: TypeInfo) -> None: """Expands type vars in the context of a subtype when an attribute is inherited from a generic super type.""" if self.type is not None: with state.strict_optional_set(self._api.options.strict_optional): self.type = map_type_from_supertype(self.type, sub_type, self.info) class DataclassTransformer: """Implement the behavior of @dataclass. Note that this may be executed multiple times on the same class, so everything here must be idempotent. This runs after the main semantic analysis pass, so you can assume that there are no placeholders. """ def __init__( self, cls: ClassDef, # Statement must also be accepted since class definition itself may be passed as the reason # for subclass/metaclass-based uses of `typing.dataclass_transform` reason: Expression | Statement, spec: DataclassTransformSpec, api: SemanticAnalyzerPluginInterface, ) -> None: self._cls = cls self._reason = reason self._spec = spec self._api = api def transform(self) -> bool: """Apply all the necessary transformations to the underlying dataclass so as to ensure it is fully type checked according to the rules in PEP 557. """ info = self._cls.info attributes = self.collect_attributes() if attributes is None: # Some definitions are not ready. We need another pass. return False for attr in attributes: if attr.type is None: return False decorator_arguments = { "init": self._get_bool_arg("init", True), "eq": self._get_bool_arg("eq", self._spec.eq_default), "order": self._get_bool_arg("order", self._spec.order_default), "frozen": self._get_bool_arg("frozen", self._spec.frozen_default), "slots": self._get_bool_arg("slots", False), "match_args": self._get_bool_arg("match_args", True), } py_version = self._api.options.python_version # If there are no attributes, it may be that the semantic analyzer has not # processed them yet. In order to work around this, we can simply skip generating # __init__ if there are no attributes, because if the user truly did not define any, # then the object default __init__ with an empty signature will be present anyway. if ( decorator_arguments["init"] and ("__init__" not in info.names or info.names["__init__"].plugin_generated) and attributes ): args = [ attr.to_argument(info, of="__init__") for attr in attributes if attr.is_in_init and not self._is_kw_only_type(attr.type) ] if info.fallback_to_any: # Make positional args optional since we don't know their order. # This will at least allow us to typecheck them if they are called # as kwargs for arg in args: if arg.kind == ARG_POS: arg.kind = ARG_OPT existing_args_names = {arg.variable.name for arg in args} gen_args_name = "generated_args" while gen_args_name in existing_args_names: gen_args_name += "_" gen_kwargs_name = "generated_kwargs" while gen_kwargs_name in existing_args_names: gen_kwargs_name += "_" args = [ Argument(Var(gen_args_name), AnyType(TypeOfAny.explicit), None, ARG_STAR), *args, Argument(Var(gen_kwargs_name), AnyType(TypeOfAny.explicit), None, ARG_STAR2), ] add_method_to_class( self._api, self._cls, "__init__", args=args, return_type=NoneType() ) if ( decorator_arguments["eq"] and info.get("__eq__") is None or decorator_arguments["order"] ): # Type variable for self types in generated methods. obj_type = self._api.named_type("builtins.object") self_tvar_expr = TypeVarExpr( SELF_TVAR_NAME, info.fullname + "." + SELF_TVAR_NAME, [], obj_type, AnyType(TypeOfAny.from_omitted_generics), ) info.names[SELF_TVAR_NAME] = SymbolTableNode(MDEF, self_tvar_expr) # Add <, >, <=, >=, but only if the class has an eq method. if decorator_arguments["order"]: if not decorator_arguments["eq"]: self._api.fail('"eq" must be True if "order" is True', self._reason) for method_name in ["__lt__", "__gt__", "__le__", "__ge__"]: # Like for __eq__ and __ne__, we want "other" to match # the self type. obj_type = self._api.named_type("builtins.object") order_tvar_def = TypeVarType( SELF_TVAR_NAME, f"{info.fullname}.{SELF_TVAR_NAME}", id=TypeVarId(-1, namespace=f"{info.fullname}.{method_name}"), values=[], upper_bound=obj_type, default=AnyType(TypeOfAny.from_omitted_generics), ) order_return_type = self._api.named_type("builtins.bool") order_args = [ Argument(Var("other", order_tvar_def), order_tvar_def, None, ARG_POS) ] existing_method = info.get(method_name) if existing_method is not None and not existing_method.plugin_generated: assert existing_method.node self._api.fail( f'You may not have a custom "{method_name}" method when "order" is True', existing_method.node, ) add_method_to_class( self._api, self._cls, method_name, args=order_args, return_type=order_return_type, self_type=order_tvar_def, tvar_def=order_tvar_def, ) parent_decorator_arguments = [] for parent in info.mro[1:-1]: parent_args = parent.metadata.get("dataclass") # Ignore parent classes that directly specify a dataclass transform-decorated metaclass # when searching for usage of the frozen parameter. PEP 681 states that a class that # directly specifies such a metaclass must be treated as neither frozen nor non-frozen. if parent_args and not _has_direct_dataclass_transform_metaclass(parent): parent_decorator_arguments.append(parent_args) if decorator_arguments["frozen"]: if any(not parent["frozen"] for parent in parent_decorator_arguments): self._api.fail("Frozen dataclass cannot inherit from a non-frozen dataclass", info) self._propertize_callables(attributes, settable=False) self._freeze(attributes) else: if any(parent["frozen"] for parent in parent_decorator_arguments): self._api.fail("Non-frozen dataclass cannot inherit from a frozen dataclass", info) self._propertize_callables(attributes) if decorator_arguments["slots"]: self.add_slots(info, attributes, correct_version=py_version >= (3, 10)) self.reset_init_only_vars(info, attributes) if ( decorator_arguments["match_args"] and ( "__match_args__" not in info.names or info.names["__match_args__"].plugin_generated ) and py_version >= (3, 10) ): str_type = self._api.named_type("builtins.str") literals: list[Type] = [ LiteralType(attr.name, str_type) for attr in attributes if attr.is_in_init and not attr.kw_only ] match_args_type = TupleType(literals, self._api.named_type("builtins.tuple")) add_attribute_to_class(self._api, self._cls, "__match_args__", match_args_type) self._add_dataclass_fields_magic_attribute() self._add_internal_replace_method(attributes) if self._api.options.python_version >= (3, 13): self._add_dunder_replace(attributes) if "__post_init__" in info.names: self._add_internal_post_init_method(attributes) info.metadata["dataclass"] = { "attributes": [attr.serialize() for attr in attributes], "frozen": decorator_arguments["frozen"], } return True def _add_dunder_replace(self, attributes: list[DataclassAttribute]) -> None: """Add a `__replace__` method to the class, which is used to replace attributes in the `copy` module.""" args = [ attr.to_argument(self._cls.info, of="replace") for attr in attributes if attr.is_in_init ] add_method_to_class( self._api, self._cls, "__replace__", args=args, return_type=fill_typevars(self._cls.info), ) def _add_internal_replace_method(self, attributes: list[DataclassAttribute]) -> None: """ Stashes the signature of 'dataclasses.replace(...)' for this specific dataclass to be used later whenever 'dataclasses.replace' is called for this dataclass. """ add_method_to_class( self._api, self._cls, _INTERNAL_REPLACE_SYM_NAME, args=[attr.to_argument(self._cls.info, of="replace") for attr in attributes], return_type=NoneType(), is_staticmethod=True, ) def _add_internal_post_init_method(self, attributes: list[DataclassAttribute]) -> None: add_method_to_class( self._api, self._cls, _INTERNAL_POST_INIT_SYM_NAME, args=[ attr.to_argument(self._cls.info, of="__post_init__") for attr in attributes if attr.is_init_var ], return_type=NoneType(), ) def add_slots( self, info: TypeInfo, attributes: list[DataclassAttribute], *, correct_version: bool ) -> None: if not correct_version: # This means that version is lower than `3.10`, # it is just a non-existent argument for `dataclass` function. self._api.fail( 'Keyword argument "slots" for "dataclass" is only valid in Python 3.10 and higher', self._reason, ) return generated_slots = {attr.name for attr in attributes} if (info.slots is not None and info.slots != generated_slots) or info.names.get( "__slots__" ): # This means we have a slots conflict. # Class explicitly specifies a different `__slots__` field. # And `@dataclass(slots=True)` is used. # In runtime this raises a type error. self._api.fail( '"{}" both defines "__slots__" and is used with "slots=True"'.format( self._cls.name ), self._cls, ) return if any(p.slots is None for p in info.mro[1:-1]): # At least one type in mro (excluding `self` and `object`) # does not have concrete `__slots__` defined. Ignoring. return info.slots = generated_slots # Now, insert `.__slots__` attribute to class namespace: slots_type = TupleType( [self._api.named_type("builtins.str") for _ in generated_slots], self._api.named_type("builtins.tuple"), ) add_attribute_to_class(self._api, self._cls, "__slots__", slots_type) def reset_init_only_vars(self, info: TypeInfo, attributes: list[DataclassAttribute]) -> None: """Remove init-only vars from the class and reset init var declarations.""" for attr in attributes: if attr.is_init_var: if attr.name in info.names: del info.names[attr.name] else: # Nodes of superclass InitVars not used in __init__ cannot be reached. assert attr.is_init_var for stmt in info.defn.defs.body: if isinstance(stmt, AssignmentStmt) and stmt.unanalyzed_type: lvalue = stmt.lvalues[0] if isinstance(lvalue, NameExpr) and lvalue.name == attr.name: # Reset node so that another semantic analysis pass will # recreate a symbol node for this attribute. lvalue.node = None def _get_assignment_statements_from_if_statement( self, stmt: IfStmt ) -> Iterator[AssignmentStmt]: for body in stmt.body: if not body.is_unreachable: yield from self._get_assignment_statements_from_block(body) if stmt.else_body is not None and not stmt.else_body.is_unreachable: yield from self._get_assignment_statements_from_block(stmt.else_body) def _get_assignment_statements_from_block(self, block: Block) -> Iterator[AssignmentStmt]: for stmt in block.body: if isinstance(stmt, AssignmentStmt): yield stmt elif isinstance(stmt, IfStmt): yield from self._get_assignment_statements_from_if_statement(stmt) def collect_attributes(self) -> list[DataclassAttribute] | None: """Collect all attributes declared in the dataclass and its parents. All assignments of the form a: SomeType b: SomeOtherType = ... are collected. Return None if some dataclass base class hasn't been processed yet and thus we'll need to ask for another pass. """ cls = self._cls # First, collect attributes belonging to any class in the MRO, ignoring duplicates. # # We iterate through the MRO in reverse because attrs defined in the parent must appear # earlier in the attributes list than attrs defined in the child. See: # https://docs.python.org/3/library/dataclasses.html#inheritance # # However, we also want attributes defined in the subtype to override ones defined # in the parent. We can implement this via a dict without disrupting the attr order # because dicts preserve insertion order in Python 3.7+. found_attrs: dict[str, DataclassAttribute] = {} for info in reversed(cls.info.mro[1:-1]): if "dataclass_tag" in info.metadata and "dataclass" not in info.metadata: # We haven't processed the base class yet. Need another pass. return None if "dataclass" not in info.metadata: continue # Each class depends on the set of attributes in its dataclass ancestors. self._api.add_plugin_dependency(make_wildcard_trigger(info.fullname)) for data in info.metadata["dataclass"]["attributes"]: name: str = data["name"] attr = DataclassAttribute.deserialize(info, data, self._api) # TODO: We shouldn't be performing type operations during the main # semantic analysis pass, since some TypeInfo attributes might # still be in flux. This should be performed in a later phase. attr.expand_typevar_from_subtype(cls.info) found_attrs[name] = attr sym_node = cls.info.names.get(name) if sym_node and sym_node.node and not isinstance(sym_node.node, Var): self._api.fail( "Dataclass attribute may only be overridden by another attribute", sym_node.node, ) # Second, collect attributes belonging to the current class. current_attr_names: set[str] = set() kw_only = self._get_bool_arg("kw_only", self._spec.kw_only_default) for stmt in self._get_assignment_statements_from_block(cls.defs): # Any assignment that doesn't use the new type declaration # syntax can be ignored out of hand. if not stmt.new_syntax: continue # a: int, b: str = 1, 'foo' is not supported syntax so we # don't have to worry about it. lhs = stmt.lvalues[0] if not isinstance(lhs, NameExpr): continue sym = cls.info.names.get(lhs.name) if sym is None: # There was probably a semantic analysis error. continue node = sym.node assert not isinstance(node, PlaceholderNode) if isinstance(node, TypeAlias): self._api.fail( ("Type aliases inside dataclass definitions are not supported at runtime"), node, ) # Skip processing this node. This doesn't match the runtime behaviour, # but the only alternative would be to modify the SymbolTable, # and it's a little hairy to do that in a plugin. continue if isinstance(node, Decorator): # This might be a property / field name clash. # We will issue an error later. continue assert isinstance(node, Var), node # x: ClassVar[int] is ignored by dataclasses. if node.is_classvar: continue # x: InitVar[int] is turned into x: int and is removed from the class. is_init_var = False node_type = get_proper_type(node.type) if ( isinstance(node_type, Instance) and node_type.type.fullname == "dataclasses.InitVar" ): is_init_var = True node.type = node_type.args[0] if self._is_kw_only_type(node_type): kw_only = True has_field_call, field_args = self._collect_field_args(stmt.rvalue) is_in_init_param = field_args.get("init") if is_in_init_param is None: is_in_init = self._get_default_init_value_for_field_specifier(stmt.rvalue) else: is_in_init = bool(self._api.parse_bool(is_in_init_param)) has_default = False # Ensure that something like x: int = field() is rejected # after an attribute with a default. if has_field_call: has_default = ( "default" in field_args or "default_factory" in field_args # alias for default_factory defined in PEP 681 or "factory" in field_args ) # All other assignments are already type checked. elif not isinstance(stmt.rvalue, TempNode): has_default = True if not has_default and self._spec is _TRANSFORM_SPEC_FOR_DATACLASSES: # Make all non-default dataclass attributes implicit because they are de-facto # set on self in the generated __init__(), not in the class body. On the other # hand, we don't know how custom dataclass transforms initialize attributes, # so we don't treat them as implicit. This is required to support descriptors # (https://github.com/python/mypy/issues/14868). sym.implicit = True is_kw_only = kw_only # Use the kw_only field arg if it is provided. Otherwise use the # kw_only value from the decorator parameter. field_kw_only_param = field_args.get("kw_only") if field_kw_only_param is not None: value = self._api.parse_bool(field_kw_only_param) if value is not None: is_kw_only = value else: self._api.fail('"kw_only" argument must be a boolean literal', stmt.rvalue) if sym.type is None and node.is_final and node.is_inferred: # This is a special case, assignment like x: Final = 42 is classified # annotated above, but mypy strips the `Final` turning it into x = 42. # We do not support inferred types in dataclasses, so we can try inferring # type for simple literals, and otherwise require an explicit type # argument for Final[...]. typ = self._api.analyze_simple_literal_type(stmt.rvalue, is_final=True) if typ: node.type = typ else: self._api.fail( "Need type argument for Final[...] with non-literal default in dataclass", stmt, ) node.type = AnyType(TypeOfAny.from_error) alias = None if "alias" in field_args: alias = self._api.parse_str_literal(field_args["alias"]) if alias is None: self._api.fail( message_registry.DATACLASS_FIELD_ALIAS_MUST_BE_LITERAL, stmt.rvalue, code=errorcodes.LITERAL_REQ, ) current_attr_names.add(lhs.name) with state.strict_optional_set(self._api.options.strict_optional): init_type = self._infer_dataclass_attr_init_type(sym, lhs.name, stmt) found_attrs[lhs.name] = DataclassAttribute( name=lhs.name, alias=alias, is_in_init=is_in_init, is_init_var=is_init_var, has_default=has_default, line=stmt.line, column=stmt.column, type=init_type, info=cls.info, kw_only=is_kw_only, is_neither_frozen_nor_nonfrozen=_has_direct_dataclass_transform_metaclass( cls.info ), api=self._api, ) all_attrs = list(found_attrs.values()) all_attrs.sort(key=lambda a: a.kw_only) # Third, ensure that arguments without a default don't follow # arguments that have a default and that the KW_ONLY sentinel # is only provided once. found_default = False found_kw_sentinel = False for attr in all_attrs: # If we find any attribute that is_in_init, not kw_only, and that # doesn't have a default after one that does have one, # then that's an error. if found_default and attr.is_in_init and not attr.has_default and not attr.kw_only: # If the issue comes from merging different classes, report it # at the class definition point. context: Context = cls if attr.name in current_attr_names: context = Context(line=attr.line, column=attr.column) self._api.fail( "Attributes without a default cannot follow attributes with one", context ) found_default = found_default or (attr.has_default and attr.is_in_init) if found_kw_sentinel and self._is_kw_only_type(attr.type): context = cls if attr.name in current_attr_names: context = Context(line=attr.line, column=attr.column) self._api.fail( "There may not be more than one field with the KW_ONLY type", context ) found_kw_sentinel = found_kw_sentinel or self._is_kw_only_type(attr.type) return all_attrs def _freeze(self, attributes: list[DataclassAttribute]) -> None: """Converts all attributes to @property methods in order to emulate frozen classes. """ info = self._cls.info for attr in attributes: # Classes that directly specify a dataclass_transform metaclass must be neither frozen # non non-frozen per PEP681. Though it is surprising, this means that attributes from # such a class must be writable even if the rest of the class hierarchy is frozen. This # matches the behavior of Pyright (the reference implementation). if attr.is_neither_frozen_nor_nonfrozen: continue sym_node = info.names.get(attr.name) if sym_node is not None: var = sym_node.node if isinstance(var, Var): if var.is_final: continue # do not turn `Final` attrs to `@property` var.is_property = True else: var = attr.to_var(info) var.info = info var.is_property = True var._fullname = info.fullname + "." + var.name info.names[var.name] = SymbolTableNode(MDEF, var) def _propertize_callables( self, attributes: list[DataclassAttribute], settable: bool = True ) -> None: """Converts all attributes with callable types to @property methods. This avoids the typechecker getting confused and thinking that `my_dataclass_instance.callable_attr(foo)` is going to receive a `self` argument (it is not). """ info = self._cls.info for attr in attributes: if isinstance(get_proper_type(attr.type), CallableType): var = attr.to_var(info) var.info = info var.is_property = True var.is_settable_property = settable var._fullname = info.fullname + "." + var.name info.names[var.name] = SymbolTableNode(MDEF, var) def _is_kw_only_type(self, node: Type | None) -> bool: """Checks if the type of the node is the KW_ONLY sentinel value.""" if node is None: return False node_type = get_proper_type(node) if not isinstance(node_type, Instance): return False return node_type.type.fullname == "dataclasses.KW_ONLY" def _add_dataclass_fields_magic_attribute(self) -> None: attr_name = "__dataclass_fields__" any_type = AnyType(TypeOfAny.explicit) # For `dataclasses`, use the type `dict[str, Field[Any]]` for accuracy. For dataclass # transforms, it's inaccurate to use `Field` since a given transform may use a completely # different type (or none); fall back to `Any` there. # # In either case, we're aiming to match the Typeshed stub for `is_dataclass`, which expects # the instance to have a `__dataclass_fields__` attribute of type `dict[str, Field[Any]]`. if self._spec is _TRANSFORM_SPEC_FOR_DATACLASSES: field_type = self._api.named_type_or_none("dataclasses.Field", [any_type]) or any_type else: field_type = any_type attr_type = self._api.named_type( "builtins.dict", [self._api.named_type("builtins.str"), field_type] ) var = Var(name=attr_name, type=attr_type) var.info = self._cls.info var._fullname = self._cls.info.fullname + "." + attr_name var.is_classvar = True self._cls.info.names[attr_name] = SymbolTableNode( kind=MDEF, node=var, plugin_generated=True ) def _collect_field_args(self, expr: Expression) -> tuple[bool, dict[str, Expression]]: """Returns a tuple where the first value represents whether or not the expression is a call to dataclass.field and the second is a dictionary of the keyword arguments that field() was called with. """ if ( isinstance(expr, CallExpr) and isinstance(expr.callee, RefExpr) and expr.callee.fullname in self._spec.field_specifiers ): # field() only takes keyword arguments. args = {} for name, arg, kind in zip(expr.arg_names, expr.args, expr.arg_kinds): if not kind.is_named(): if kind.is_named(star=True): # This means that `field` is used with `**` unpacking, # the best we can do for now is not to fail. # TODO: we can infer what's inside `**` and try to collect it. message = 'Unpacking **kwargs in "field()" is not supported' elif self._spec is not _TRANSFORM_SPEC_FOR_DATACLASSES: # dataclasses.field can only be used with keyword args, but this # restriction is only enforced for the *standardized* arguments to # dataclass_transform field specifiers. If this is not a # dataclasses.dataclass class, we can just skip positional args safely. continue else: message = '"field()" does not accept positional arguments' self._api.fail(message, expr) return True, {} assert name is not None args[name] = arg return True, args return False, {} def _get_bool_arg(self, name: str, default: bool) -> bool: # Expressions are always CallExprs (either directly or via a wrapper like Decorator), so # we can use the helpers from common if isinstance(self._reason, Expression): return _get_decorator_bool_argument( ClassDefContext(self._cls, self._reason, self._api), name, default ) # Subclass/metaclass use of `typing.dataclass_transform` reads the parameters from the # class's keyword arguments (ie `class Subclass(Parent, kwarg1=..., kwarg2=...)`) expression = self._cls.keywords.get(name) if expression is not None: return require_bool_literal_argument(self._api, expression, name, default) return default def _get_default_init_value_for_field_specifier(self, call: Expression) -> bool: """ Find a default value for the `init` parameter of the specifier being called. If the specifier's type signature includes an `init` parameter with a type of `Literal[True]` or `Literal[False]`, return the appropriate boolean value from the literal. Otherwise, fall back to the standard default of `True`. """ if not isinstance(call, CallExpr): return True specifier_type = _get_callee_type(call) if specifier_type is None: return True parameter = specifier_type.argument_by_name("init") if parameter is None: return True literals = try_getting_literals_from_type(parameter.typ, bool, "builtins.bool") if literals is None or len(literals) != 1: return True return literals[0] def _infer_dataclass_attr_init_type( self, sym: SymbolTableNode, name: str, context: Context ) -> Type | None: """Infer __init__ argument type for an attribute. In particular, possibly use the signature of __set__. """ default = sym.type if sym.implicit: return default t = get_proper_type(sym.type) # Perform a simple-minded inference from the signature of __set__, if present. # We can't use mypy.checkmember here, since this plugin runs before type checking. # We only support some basic scanerios here, which is hopefully sufficient for # the vast majority of use cases. if not isinstance(t, Instance): return default setter = t.type.get("__set__") if setter: if isinstance(setter.node, FuncDef): super_info = t.type.get_containing_type_info("__set__") assert super_info if setter.type: setter_type = get_proper_type( map_type_from_supertype(setter.type, t.type, super_info) ) else: return AnyType(TypeOfAny.unannotated) if isinstance(setter_type, CallableType) and setter_type.arg_kinds == [ ARG_POS, ARG_POS, ARG_POS, ]: return expand_type_by_instance(setter_type.arg_types[2], t) else: self._api.fail( f'Unsupported signature for "__set__" in "{t.type.name}"', context ) else: self._api.fail(f'Unsupported "__set__" in "{t.type.name}"', context) return default def add_dataclass_tag(info: TypeInfo) -> None: # The value is ignored, only the existence matters. info.metadata["dataclass_tag"] = {} def dataclass_tag_callback(ctx: ClassDefContext) -> None: """Record that we have a dataclass in the main semantic analysis pass. The later pass implemented by DataclassTransformer will use this to detect dataclasses in base classes. """ add_dataclass_tag(ctx.cls.info) def dataclass_class_maker_callback(ctx: ClassDefContext) -> bool: """Hooks into the class typechecking process to add support for dataclasses.""" if any(i.is_named_tuple for i in ctx.cls.info.mro): ctx.api.fail("A NamedTuple cannot be a dataclass", ctx=ctx.cls.info) return True transformer = DataclassTransformer( ctx.cls, ctx.reason, _get_transform_spec(ctx.reason), ctx.api ) return transformer.transform() def _get_transform_spec(reason: Expression) -> DataclassTransformSpec: """Find the relevant transform parameters from the decorator/parent class/metaclass that triggered the dataclasses plugin. Although the resulting DataclassTransformSpec is based on the typing.dataclass_transform function, we also use it for traditional dataclasses.dataclass classes as well for simplicity. In those cases, we return a default spec rather than one based on a call to `typing.dataclass_transform`. """ if _is_dataclasses_decorator(reason): return _TRANSFORM_SPEC_FOR_DATACLASSES spec = find_dataclass_transform_spec(reason) assert spec is not None, ( "trying to find dataclass transform spec, but reason is neither dataclasses.dataclass nor " "decorated with typing.dataclass_transform" ) return spec def _is_dataclasses_decorator(node: Node) -> bool: if isinstance(node, CallExpr): node = node.callee if isinstance(node, RefExpr): return node.fullname in dataclass_makers return False def _has_direct_dataclass_transform_metaclass(info: TypeInfo) -> bool: return ( info.declared_metaclass is not None and info.declared_metaclass.type.dataclass_transform_spec is not None ) def _get_expanded_dataclasses_fields( ctx: FunctionSigContext, typ: ProperType, display_typ: ProperType, parent_typ: ProperType ) -> list[CallableType] | None: """ For a given type, determine what dataclasses it can be: for each class, return the field types. For generic classes, the field types are expanded. If the type contains Any or a non-dataclass, returns None; in the latter case, also reports an error. """ if isinstance(typ, UnionType): ret: list[CallableType] | None = [] for item in typ.relevant_items(): item = get_proper_type(item) item_types = _get_expanded_dataclasses_fields(ctx, item, item, parent_typ) if ret is not None and item_types is not None: ret += item_types else: ret = None # but keep iterating to emit all errors return ret elif isinstance(typ, TypeVarType): return _get_expanded_dataclasses_fields( ctx, get_proper_type(typ.upper_bound), display_typ, parent_typ ) elif isinstance(typ, Instance): replace_sym = typ.type.get_method(_INTERNAL_REPLACE_SYM_NAME) if replace_sym is None: return None replace_sig = replace_sym.type assert isinstance(replace_sig, ProperType) assert isinstance(replace_sig, CallableType) return [expand_type_by_instance(replace_sig, typ)] else: return None # TODO: we can potentially get the function signature hook to allow returning a union # and leave this to the regular machinery of resolving a union of callables # (https://github.com/python/mypy/issues/15457) def _meet_replace_sigs(sigs: list[CallableType]) -> CallableType: """ Produces the lowest bound of the 'replace' signatures of multiple dataclasses. """ args = { name: (typ, kind) for name, typ, kind in zip(sigs[0].arg_names, sigs[0].arg_types, sigs[0].arg_kinds) } for sig in sigs[1:]: sig_args = { name: (typ, kind) for name, typ, kind in zip(sig.arg_names, sig.arg_types, sig.arg_kinds) } for name in (*args.keys(), *sig_args.keys()): sig_typ, sig_kind = args.get(name, (UninhabitedType(), ARG_NAMED_OPT)) sig2_typ, sig2_kind = sig_args.get(name, (UninhabitedType(), ARG_NAMED_OPT)) args[name] = ( meet_types(sig_typ, sig2_typ), ARG_NAMED_OPT if sig_kind == sig2_kind == ARG_NAMED_OPT else ARG_NAMED, ) return sigs[0].copy_modified( arg_names=list(args.keys()), arg_types=[typ for typ, _ in args.values()], arg_kinds=[kind for _, kind in args.values()], ) def replace_function_sig_callback(ctx: FunctionSigContext) -> CallableType: """ Returns a signature for the 'dataclasses.replace' function that's dependent on the type of the first positional argument. """ if len(ctx.args) != 2: # Ideally the name and context should be callee's, but we don't have it in FunctionSigContext. ctx.api.fail(f'"{ctx.default_signature.name}" has unexpected type annotation', ctx.context) return ctx.default_signature if len(ctx.args[0]) != 1: return ctx.default_signature # leave it to the type checker to complain obj_arg = ctx.args[0][0] obj_type = get_proper_type(ctx.api.get_expression_type(obj_arg)) inst_type_str = format_type_bare(obj_type, ctx.api.options) replace_sigs = _get_expanded_dataclasses_fields(ctx, obj_type, obj_type, obj_type) if replace_sigs is None: return ctx.default_signature replace_sig = _meet_replace_sigs(replace_sigs) return replace_sig.copy_modified( arg_names=[None, *replace_sig.arg_names], arg_kinds=[ARG_POS, *replace_sig.arg_kinds], arg_types=[obj_type, *replace_sig.arg_types], ret_type=obj_type, fallback=ctx.default_signature.fallback, name=f"{ctx.default_signature.name} of {inst_type_str}", ) def is_processed_dataclass(info: TypeInfo) -> bool: return bool(info) and "dataclass" in info.metadata def check_post_init(api: TypeChecker, defn: FuncItem, info: TypeInfo) -> None: if defn.type is None: return assert isinstance(defn.type, FunctionLike) ideal_sig_method = info.get_method(_INTERNAL_POST_INIT_SYM_NAME) assert ideal_sig_method is not None and ideal_sig_method.type is not None ideal_sig = ideal_sig_method.type assert isinstance(ideal_sig, ProperType) # we set it ourselves assert isinstance(ideal_sig, CallableType) ideal_sig = ideal_sig.copy_modified(name="__post_init__") api.check_override( override=defn.type, original=ideal_sig, name="__post_init__", name_in_super="__post_init__", supertype="dataclass", original_class_or_static=False, override_class_or_static=False, node=defn, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/default.py0000644000175100017510000005561215112307767016745 0ustar00runnerrunnerfrom __future__ import annotations from functools import partial from typing import Callable, Final import mypy.errorcodes as codes from mypy import message_registry from mypy.nodes import DictExpr, Expression, IntExpr, StrExpr, UnaryExpr from mypy.plugin import ( AttributeContext, ClassDefContext, FunctionContext, FunctionSigContext, MethodContext, MethodSigContext, Plugin, ) from mypy.plugins.attrs import ( attr_class_maker_callback, attr_class_makers, attr_dataclass_makers, attr_define_makers, attr_frozen_makers, attr_tag_callback, evolve_function_sig_callback, fields_function_sig_callback, ) from mypy.plugins.common import try_getting_str_literals from mypy.plugins.constants import ( ENUM_NAME_ACCESS, ENUM_VALUE_ACCESS, SINGLEDISPATCH_CALLABLE_CALL_METHOD, SINGLEDISPATCH_REGISTER_CALLABLE_CALL_METHOD, SINGLEDISPATCH_REGISTER_METHOD, ) from mypy.plugins.ctypes import ( array_constructor_callback, array_getitem_callback, array_iter_callback, array_raw_callback, array_setitem_callback, array_value_callback, ) from mypy.plugins.dataclasses import ( dataclass_class_maker_callback, dataclass_makers, dataclass_tag_callback, replace_function_sig_callback, ) from mypy.plugins.enums import enum_member_callback, enum_name_callback, enum_value_callback from mypy.plugins.functools import ( functools_total_ordering_maker_callback, functools_total_ordering_makers, partial_call_callback, partial_new_callback, ) from mypy.plugins.singledispatch import ( call_singledispatch_function_after_register_argument, call_singledispatch_function_callback, create_singledispatch_function_callback, singledispatch_register_callback, ) from mypy.subtypes import is_subtype from mypy.typeops import is_literal_type_like, make_simplified_union from mypy.types import ( TPDICT_FB_NAMES, AnyType, CallableType, FunctionLike, Instance, LiteralType, NoneType, TupleType, Type, TypedDictType, TypeOfAny, TypeVarType, UnionType, get_proper_type, get_proper_types, ) TD_SETDEFAULT_NAMES: Final = {n + ".setdefault" for n in TPDICT_FB_NAMES} TD_POP_NAMES: Final = {n + ".pop" for n in TPDICT_FB_NAMES} TD_DELITEM_NAMES: Final = {n + ".__delitem__" for n in TPDICT_FB_NAMES} TD_UPDATE_METHOD_NAMES: Final = ( {n + ".update" for n in TPDICT_FB_NAMES} | {n + ".__or__" for n in TPDICT_FB_NAMES} | {n + ".__ror__" for n in TPDICT_FB_NAMES} | {n + ".__ior__" for n in TPDICT_FB_NAMES} ) class DefaultPlugin(Plugin): """Type checker plugin that is enabled by default.""" def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname == "_ctypes.Array": return array_constructor_callback elif fullname == "functools.singledispatch": return create_singledispatch_function_callback elif fullname == "functools.partial": return partial_new_callback elif fullname == "enum.member": return enum_member_callback return None def get_function_signature_hook( self, fullname: str ) -> Callable[[FunctionSigContext], FunctionLike] | None: if fullname in ("attr.evolve", "attrs.evolve", "attr.assoc", "attrs.assoc"): return evolve_function_sig_callback elif fullname in ("attr.fields", "attrs.fields"): return fields_function_sig_callback elif fullname == "dataclasses.replace": return replace_function_sig_callback return None def get_method_signature_hook( self, fullname: str ) -> Callable[[MethodSigContext], FunctionLike] | None: if fullname == "typing.Mapping.get": return typed_dict_get_signature_callback elif fullname in TD_SETDEFAULT_NAMES: return typed_dict_setdefault_signature_callback elif fullname in TD_POP_NAMES: return typed_dict_pop_signature_callback elif fullname == "_ctypes.Array.__setitem__": return array_setitem_callback elif fullname == SINGLEDISPATCH_CALLABLE_CALL_METHOD: return call_singledispatch_function_callback elif fullname in TD_UPDATE_METHOD_NAMES: return typed_dict_update_signature_callback return None def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: if fullname == "typing.Mapping.get": return typed_dict_get_callback elif fullname == "builtins.int.__pow__": return int_pow_callback elif fullname == "builtins.int.__neg__": return int_neg_callback elif fullname == "builtins.int.__pos__": return int_pos_callback elif fullname in ("builtins.tuple.__mul__", "builtins.tuple.__rmul__"): return tuple_mul_callback elif fullname in TD_SETDEFAULT_NAMES: return typed_dict_setdefault_callback elif fullname in TD_POP_NAMES: return typed_dict_pop_callback elif fullname in TD_DELITEM_NAMES: return typed_dict_delitem_callback elif fullname == "_ctypes.Array.__getitem__": return array_getitem_callback elif fullname == "_ctypes.Array.__iter__": return array_iter_callback elif fullname == SINGLEDISPATCH_REGISTER_METHOD: return singledispatch_register_callback elif fullname == SINGLEDISPATCH_REGISTER_CALLABLE_CALL_METHOD: return call_singledispatch_function_after_register_argument elif fullname == "functools.partial.__call__": return partial_call_callback return None def get_attribute_hook(self, fullname: str) -> Callable[[AttributeContext], Type] | None: if fullname == "_ctypes.Array.value": return array_value_callback elif fullname == "_ctypes.Array.raw": return array_raw_callback elif fullname in ENUM_NAME_ACCESS: return enum_name_callback elif fullname in ENUM_VALUE_ACCESS: return enum_value_callback return None def get_class_decorator_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: # These dataclass and attrs hooks run in the main semantic analysis pass # and only tag known dataclasses/attrs classes, so that the second # hooks (in get_class_decorator_hook_2) can detect dataclasses/attrs classes # in the MRO. if fullname in dataclass_makers: return dataclass_tag_callback if ( fullname in attr_class_makers or fullname in attr_dataclass_makers or fullname in attr_frozen_makers or fullname in attr_define_makers ): return attr_tag_callback return None def get_class_decorator_hook_2( self, fullname: str ) -> Callable[[ClassDefContext], bool] | None: if fullname in dataclass_makers: return dataclass_class_maker_callback elif fullname in functools_total_ordering_makers: return functools_total_ordering_maker_callback elif fullname in attr_class_makers: return attr_class_maker_callback elif fullname in attr_dataclass_makers: return partial(attr_class_maker_callback, auto_attribs_default=True) elif fullname in attr_frozen_makers: return partial( attr_class_maker_callback, auto_attribs_default=None, frozen_default=True ) elif fullname in attr_define_makers: return partial( attr_class_maker_callback, auto_attribs_default=None, slots_default=True ) return None def typed_dict_get_signature_callback(ctx: MethodSigContext) -> CallableType: """Try to infer a better signature type for TypedDict.get. This is used to get better type context for the second argument that depends on a TypedDict value type. """ signature = ctx.default_signature if ( isinstance(ctx.type, TypedDictType) and len(ctx.args) == 2 and len(ctx.args[0]) == 1 and isinstance(ctx.args[0][0], StrExpr) and len(signature.arg_types) == 2 and len(signature.variables) == 1 and len(ctx.args[1]) == 1 ): key = ctx.args[0][0].value value_type = get_proper_type(ctx.type.items.get(key)) ret_type = signature.ret_type if value_type: default_arg = ctx.args[1][0] if ( isinstance(value_type, TypedDictType) and isinstance(default_arg, DictExpr) and len(default_arg.items) == 0 ): # Caller has empty dict {} as default for typed dict. value_type = value_type.copy_modified(required_keys=set()) # Tweak the signature to include the value type as context. It's # only needed for type inference since there's a union with a type # variable that accepts everything. tv = signature.variables[0] assert isinstance(tv, TypeVarType) return signature.copy_modified( arg_types=[signature.arg_types[0], make_simplified_union([value_type, tv])], ret_type=ret_type, ) return signature def typed_dict_get_callback(ctx: MethodContext) -> Type: """Infer a precise return type for TypedDict.get with literal first argument.""" if ( isinstance(ctx.type, TypedDictType) and len(ctx.arg_types) >= 1 and len(ctx.arg_types[0]) == 1 ): keys = try_getting_str_literals(ctx.args[0][0], ctx.arg_types[0][0]) if keys is None: return ctx.default_return_type default_type: Type default_arg: Expression | None if len(ctx.arg_types) <= 1 or not ctx.arg_types[1]: default_arg = None default_type = NoneType() elif len(ctx.arg_types[1]) == 1 and len(ctx.args[1]) == 1: default_arg = ctx.args[1][0] default_type = ctx.arg_types[1][0] else: return ctx.default_return_type output_types: list[Type] = [] for key in keys: value_type: Type | None = ctx.type.items.get(key) if value_type is None: return ctx.default_return_type if key in ctx.type.required_keys: output_types.append(value_type) else: # HACK to deal with get(key, {}) if ( isinstance(default_arg, DictExpr) and len(default_arg.items) == 0 and isinstance(vt := get_proper_type(value_type), TypedDictType) ): output_types.append(vt.copy_modified(required_keys=set())) else: output_types.append(value_type) output_types.append(default_type) # for nicer reveal_type, put default at the end, if it is present if default_type in output_types: output_types = [t for t in output_types if t != default_type] + [default_type] return make_simplified_union(output_types) return ctx.default_return_type def typed_dict_pop_signature_callback(ctx: MethodSigContext) -> CallableType: """Try to infer a better signature type for TypedDict.pop. This is used to get better type context for the second argument that depends on a TypedDict value type. """ signature = ctx.default_signature str_type = ctx.api.named_generic_type("builtins.str", []) if ( isinstance(ctx.type, TypedDictType) and len(ctx.args) == 2 and len(ctx.args[0]) == 1 and isinstance(ctx.args[0][0], StrExpr) and len(signature.arg_types) == 2 and len(signature.variables) == 1 and len(ctx.args[1]) == 1 ): key = ctx.args[0][0].value value_type = ctx.type.items.get(key) if value_type: # Tweak the signature to include the value type as context. It's # only needed for type inference since there's a union with a type # variable that accepts everything. tv = signature.variables[0] assert isinstance(tv, TypeVarType) typ = make_simplified_union([value_type, tv]) return signature.copy_modified(arg_types=[str_type, typ], ret_type=typ) return signature.copy_modified(arg_types=[str_type, signature.arg_types[1]]) def typed_dict_pop_callback(ctx: MethodContext) -> Type: """Type check and infer a precise return type for TypedDict.pop.""" if ( isinstance(ctx.type, TypedDictType) and len(ctx.arg_types) >= 1 and len(ctx.arg_types[0]) == 1 ): key_expr = ctx.args[0][0] keys = try_getting_str_literals(key_expr, ctx.arg_types[0][0]) if keys is None: ctx.api.fail( message_registry.TYPEDDICT_KEY_MUST_BE_STRING_LITERAL, key_expr, code=codes.LITERAL_REQ, ) return AnyType(TypeOfAny.from_error) value_types = [] for key in keys: if key in ctx.type.required_keys or key in ctx.type.readonly_keys: ctx.api.msg.typeddict_key_cannot_be_deleted(ctx.type, key, key_expr) value_type = ctx.type.items.get(key) if value_type: value_types.append(value_type) else: ctx.api.msg.typeddict_key_not_found(ctx.type, key, key_expr) return AnyType(TypeOfAny.from_error) if len(ctx.args[1]) == 0: return make_simplified_union(value_types) elif len(ctx.arg_types) == 2 and len(ctx.arg_types[1]) == 1 and len(ctx.args[1]) == 1: return make_simplified_union([*value_types, ctx.arg_types[1][0]]) return ctx.default_return_type def typed_dict_setdefault_signature_callback(ctx: MethodSigContext) -> CallableType: """Try to infer a better signature type for TypedDict.setdefault. This is used to get better type context for the second argument that depends on a TypedDict value type. """ signature = ctx.default_signature str_type = ctx.api.named_generic_type("builtins.str", []) if ( isinstance(ctx.type, TypedDictType) and len(ctx.args) == 2 and len(ctx.args[0]) == 1 and isinstance(ctx.args[0][0], StrExpr) and len(signature.arg_types) == 2 and len(ctx.args[1]) == 1 ): key = ctx.args[0][0].value value_type = ctx.type.items.get(key) if value_type: return signature.copy_modified(arg_types=[str_type, value_type]) return signature.copy_modified(arg_types=[str_type, signature.arg_types[1]]) def typed_dict_setdefault_callback(ctx: MethodContext) -> Type: """Type check TypedDict.setdefault and infer a precise return type.""" if ( isinstance(ctx.type, TypedDictType) and len(ctx.arg_types) == 2 and len(ctx.arg_types[0]) == 1 and len(ctx.arg_types[1]) == 1 ): key_expr = ctx.args[0][0] keys = try_getting_str_literals(key_expr, ctx.arg_types[0][0]) if keys is None: ctx.api.fail( message_registry.TYPEDDICT_KEY_MUST_BE_STRING_LITERAL, key_expr, code=codes.LITERAL_REQ, ) return AnyType(TypeOfAny.from_error) assigned_readonly_keys = ctx.type.readonly_keys & set(keys) if assigned_readonly_keys: ctx.api.msg.readonly_keys_mutated(assigned_readonly_keys, context=key_expr) default_type = ctx.arg_types[1][0] default_expr = ctx.args[1][0] value_types = [] for key in keys: value_type = ctx.type.items.get(key) if value_type is None: ctx.api.msg.typeddict_key_not_found(ctx.type, key, key_expr) return AnyType(TypeOfAny.from_error) # The signature_callback above can't always infer the right signature # (e.g. when the expression is a variable that happens to be a Literal str) # so we need to handle the check ourselves here and make sure the provided # default can be assigned to all key-value pairs we're updating. if not is_subtype(default_type, value_type): ctx.api.msg.typeddict_setdefault_arguments_inconsistent( default_type, value_type, default_expr ) return AnyType(TypeOfAny.from_error) value_types.append(value_type) return make_simplified_union(value_types) return ctx.default_return_type def typed_dict_delitem_callback(ctx: MethodContext) -> Type: """Type check TypedDict.__delitem__.""" if ( isinstance(ctx.type, TypedDictType) and len(ctx.arg_types) == 1 and len(ctx.arg_types[0]) == 1 ): key_expr = ctx.args[0][0] keys = try_getting_str_literals(key_expr, ctx.arg_types[0][0]) if keys is None: ctx.api.fail( message_registry.TYPEDDICT_KEY_MUST_BE_STRING_LITERAL, key_expr, code=codes.LITERAL_REQ, ) return AnyType(TypeOfAny.from_error) for key in keys: if key in ctx.type.required_keys or key in ctx.type.readonly_keys: ctx.api.msg.typeddict_key_cannot_be_deleted(ctx.type, key, key_expr) elif key not in ctx.type.items: ctx.api.msg.typeddict_key_not_found(ctx.type, key, key_expr) return ctx.default_return_type _TP_DICT_MUTATING_METHODS: Final = frozenset({"update of TypedDict", "__ior__ of TypedDict"}) def typed_dict_update_signature_callback(ctx: MethodSigContext) -> CallableType: """Try to infer a better signature type for methods that update `TypedDict`. This includes: `TypedDict.update`, `TypedDict.__or__`, `TypedDict.__ror__`, and `TypedDict.__ior__`. """ signature = ctx.default_signature if isinstance(ctx.type, TypedDictType) and len(signature.arg_types) == 1: arg_type = get_proper_type(signature.arg_types[0]) if not isinstance(arg_type, TypedDictType): return signature arg_type = arg_type.as_anonymous() arg_type = arg_type.copy_modified(required_keys=set()) if ctx.args and ctx.args[0]: if signature.name in _TP_DICT_MUTATING_METHODS: # If we want to mutate this object in place, we need to set this flag, # it will trigger an extra check in TypedDict's checker. arg_type.to_be_mutated = True with ctx.api.msg.filter_errors( filter_errors=lambda name, info: info.code != codes.TYPEDDICT_READONLY_MUTATED, save_filtered_errors=True, ): inferred = get_proper_type( ctx.api.get_expression_type(ctx.args[0][0], type_context=arg_type) ) if arg_type.to_be_mutated: arg_type.to_be_mutated = False # Done! possible_tds = [] if isinstance(inferred, TypedDictType): possible_tds = [inferred] elif isinstance(inferred, UnionType): possible_tds = [ t for t in get_proper_types(inferred.relevant_items()) if isinstance(t, TypedDictType) ] items = [] for td in possible_tds: item = arg_type.copy_modified( required_keys=(arg_type.required_keys | td.required_keys) & arg_type.items.keys() ) if not ctx.api.options.extra_checks: item = item.copy_modified(item_names=list(td.items)) items.append(item) if items: arg_type = make_simplified_union(items) return signature.copy_modified(arg_types=[arg_type]) return signature def int_pow_callback(ctx: MethodContext) -> Type: """Infer a more precise return type for int.__pow__.""" # int.__pow__ has an optional modulo argument, # so we expect 2 argument positions if len(ctx.arg_types) == 2 and len(ctx.arg_types[0]) == 1 and len(ctx.arg_types[1]) == 0: arg = ctx.args[0][0] if isinstance(arg, IntExpr): exponent = arg.value elif isinstance(arg, UnaryExpr) and arg.op == "-" and isinstance(arg.expr, IntExpr): exponent = -arg.expr.value else: # Right operand not an int literal or a negated literal -- give up. return ctx.default_return_type if exponent >= 0: return ctx.api.named_generic_type("builtins.int", []) else: return ctx.api.named_generic_type("builtins.float", []) return ctx.default_return_type def int_neg_callback(ctx: MethodContext, multiplier: int = -1) -> Type: """Infer a more precise return type for int.__neg__ and int.__pos__. This is mainly used to infer the return type as LiteralType if the original underlying object is a LiteralType object. """ if isinstance(ctx.type, Instance) and ctx.type.last_known_value is not None: value = ctx.type.last_known_value.value fallback = ctx.type.last_known_value.fallback if isinstance(value, int): if is_literal_type_like(ctx.api.type_context[-1]): return LiteralType(value=multiplier * value, fallback=fallback) else: return ctx.type.copy_modified( last_known_value=LiteralType( value=multiplier * value, fallback=fallback, line=ctx.type.line, column=ctx.type.column, ) ) elif isinstance(ctx.type, LiteralType): value = ctx.type.value fallback = ctx.type.fallback if isinstance(value, int): return LiteralType(value=multiplier * value, fallback=fallback) return ctx.default_return_type def int_pos_callback(ctx: MethodContext) -> Type: """Infer a more precise return type for int.__pos__. This is identical to __neg__, except the value is not inverted. """ return int_neg_callback(ctx, +1) def tuple_mul_callback(ctx: MethodContext) -> Type: """Infer a more precise return type for tuple.__mul__ and tuple.__rmul__. This is used to return a specific sized tuple if multiplied by Literal int """ if not isinstance(ctx.type, TupleType): return ctx.default_return_type arg_type = get_proper_type(ctx.arg_types[0][0]) if isinstance(arg_type, Instance) and arg_type.last_known_value is not None: value = arg_type.last_known_value.value if isinstance(value, int): return ctx.type.copy_modified(items=ctx.type.items * value) elif isinstance(arg_type, LiteralType): value = arg_type.value if isinstance(value, int): return ctx.type.copy_modified(items=ctx.type.items * value) return ctx.default_return_type ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/enums.py0000644000175100017510000002725215112307767016447 0ustar00runnerrunner""" This file contains a variety of plugins for refining how mypy infers types of expressions involving Enums. Currently, this file focuses on providing better inference for expressions like 'SomeEnum.FOO.name' and 'SomeEnum.FOO.value'. Note that the type of both expressions will vary depending on exactly which instance of SomeEnum we're looking at. Note that this file does *not* contain all special-cased logic related to enums: we actually bake some of it directly in to the semantic analysis layer (see semanal_enum.py). """ from __future__ import annotations from collections.abc import Iterable, Sequence from typing import TypeVar, cast import mypy.plugin # To avoid circular imports. from mypy.checker_shared import TypeCheckerSharedApi from mypy.nodes import TypeInfo, Var from mypy.subtypes import is_equivalent from mypy.typeops import fixup_partial_type, make_simplified_union from mypy.types import ( ELLIPSIS_TYPE_NAMES, CallableType, Instance, LiteralType, ProperType, Type, get_proper_type, is_named_instance, ) def enum_name_callback(ctx: mypy.plugin.AttributeContext) -> Type: """This plugin refines the 'name' attribute in enums to act as if they were declared to be final. For example, the expression 'MyEnum.FOO.name' normally is inferred to be of type 'str'. This plugin will instead make the inferred type be a 'str' where the last known value is 'Literal["FOO"]'. This means it would be legal to use 'MyEnum.FOO.name' in contexts that expect a Literal type, just like any other Final variable or attribute. This plugin assumes that the provided context is an attribute access matching one of the strings found in 'ENUM_NAME_ACCESS'. """ enum_field_name = _extract_underlying_field_name(ctx.type) if enum_field_name is None: return ctx.default_attr_type else: str_type = ctx.api.named_generic_type("builtins.str", []) literal_type = LiteralType(enum_field_name, fallback=str_type) return str_type.copy_modified(last_known_value=literal_type) _T = TypeVar("_T") def _first(it: Iterable[_T]) -> _T | None: """Return the first value from any iterable. Returns ``None`` if the iterable is empty. """ for val in it: return val return None def _infer_value_type_with_auto_fallback( ctx: mypy.plugin.AttributeContext, proper_type: ProperType | None ) -> Type | None: """Figure out the type of an enum value accounting for `auto()`. This method is a no-op for a `None` proper_type and also in the case where the type is not "enum.auto" """ if proper_type is None: return None proper_type = get_proper_type(fixup_partial_type(proper_type)) # Enums in stubs may have ... instead of actual values. If `_value_` is annotated # (manually or inherited from IntEnum, for example), it is a more reasonable guess # than literal ellipsis type. if ( _is_defined_in_stub(ctx) and isinstance(proper_type, Instance) and proper_type.type.fullname in ELLIPSIS_TYPE_NAMES and isinstance(ctx.type, Instance) ): value_type = ctx.type.type.get("_value_") if value_type is not None and isinstance(var := value_type.node, Var): return var.type return proper_type if not (isinstance(proper_type, Instance) and proper_type.type.fullname == "enum.auto"): if is_named_instance(proper_type, "enum.member") and proper_type.args: return proper_type.args[0] return proper_type assert isinstance(ctx.type, Instance), "An incorrect ctx.type was passed." info = ctx.type.type # Find the first _generate_next_value_ on the mro. We need to know # if it is `Enum` because `Enum` types say that the return-value of # `_generate_next_value_` is `Any`. In reality the default `auto()` # returns an `int` (presumably the `Any` in typeshed is to make it # easier to subclass and change the returned type). type_with_gnv = _first(ti for ti in info.mro if ti.names.get("_generate_next_value_")) if type_with_gnv is None: return ctx.default_attr_type stnode = type_with_gnv.names["_generate_next_value_"] # This should be a `CallableType` node_type = get_proper_type(stnode.type) if isinstance(node_type, CallableType): if type_with_gnv.fullname == "enum.Enum": int_type = ctx.api.named_generic_type("builtins.int", []) return int_type return get_proper_type(node_type.ret_type) return ctx.default_attr_type def _is_defined_in_stub(ctx: mypy.plugin.AttributeContext) -> bool: assert isinstance(ctx.api, TypeCheckerSharedApi) return isinstance(ctx.type, Instance) and ctx.api.is_defined_in_stub(ctx.type) def _implements_new(info: TypeInfo) -> bool: """Check whether __new__ comes from enum.Enum or was implemented in a subclass. In the latter case, we must infer Any as long as mypy can't infer the type of _value_ from assignments in __new__. """ type_with_new = _first( ti for ti in info.mro if ti.names.get("__new__") and not ti.fullname.startswith("builtins.") ) if type_with_new is None: return False return type_with_new.fullname not in ("enum.Enum", "enum.IntEnum", "enum.StrEnum") def enum_member_callback(ctx: mypy.plugin.FunctionContext) -> Type: """By default `member(1)` will be inferred as `member[int]`, we want to improve the inference to be `Literal[1]` here.""" if ctx.arg_types and ctx.arg_types[0]: arg = get_proper_type(ctx.arg_types[0][0]) proper_return = get_proper_type(ctx.default_return_type) if ( isinstance(arg, Instance) and arg.last_known_value and isinstance(proper_return, Instance) and len(proper_return.args) == 1 ): return proper_return.copy_modified(args=[arg]) return ctx.default_return_type def enum_value_callback(ctx: mypy.plugin.AttributeContext) -> Type: """This plugin refines the 'value' attribute in enums to refer to the original underlying value. For example, suppose we have the following: class SomeEnum: FOO = A() BAR = B() By default, mypy will infer that 'SomeEnum.FOO.value' and 'SomeEnum.BAR.value' both are of type 'Any'. This plugin refines this inference so that mypy understands the expressions are actually of types 'A' and 'B' respectively. This better reflects the actual runtime behavior. This plugin works simply by looking up the original value assigned to the enum. For example, when this plugin sees 'SomeEnum.BAR.value', it will look up whatever type 'BAR' had in the SomeEnum TypeInfo and use that as the inferred type of the overall expression. This plugin assumes that the provided context is an attribute access matching one of the strings found in 'ENUM_VALUE_ACCESS'. """ enum_field_name = _extract_underlying_field_name(ctx.type) if enum_field_name is None: # We do not know the enum field name (perhaps it was passed to a # function and we only know that it _is_ a member). All is not lost # however, if we can prove that the all of the enum members have the # same value-type, then it doesn't matter which member was passed in. # The value-type is still known. if isinstance(ctx.type, Instance): info = ctx.type.type # As long as mypy doesn't understand attribute creation in __new__, # there is no way to predict the value type if the enum class has a # custom implementation if _implements_new(info): return ctx.default_attr_type stnodes = (info.get(name) for name in info.names) # Enums _can_ have methods, instance attributes, and `nonmember`s. # Omit methods and attributes created by assigning to self.* # for our value inference. node_types = ( get_proper_type(n.type) if n else None for n in stnodes if n is None or not n.implicit ) proper_types = [ _infer_value_type_with_auto_fallback(ctx, t) for t in node_types if t is None or (not isinstance(t, CallableType) and not is_named_instance(t, "enum.nonmember")) ] underlying_type = _first(proper_types) if underlying_type is None: return ctx.default_attr_type # At first we try to predict future `value` type if all other items # have the same type. For example, `int`. # If this is the case, we simply return this type. # See https://github.com/python/mypy/pull/9443 all_same_value_type = all( proper_type is not None and proper_type == underlying_type for proper_type in proper_types ) if all_same_value_type: if underlying_type is not None: return underlying_type # But, after we started treating all `Enum` values as `Final`, # we start to infer types in # `item = 1` as `Literal[1]`, not just `int`. # So, for example types in this `Enum` will all be different: # # class Ordering(IntEnum): # one = 1 # two = 2 # three = 3 # # We will infer three `Literal` types here. # They are not the same, but they are equivalent. # So, we unify them to make sure `.value` prediction still works. # Result will be `Literal[1] | Literal[2] | Literal[3]` for this case. all_equivalent_types = all( proper_type is not None and is_equivalent(proper_type, underlying_type) for proper_type in proper_types ) if all_equivalent_types: return make_simplified_union(cast(Sequence[Type], proper_types)) return ctx.default_attr_type assert isinstance(ctx.type, Instance) info = ctx.type.type # As long as mypy doesn't understand attribute creation in __new__, # there is no way to predict the value type if the enum class has a # custom implementation if _implements_new(info): return ctx.default_attr_type stnode = info.get(enum_field_name) if stnode is None: return ctx.default_attr_type underlying_type = _infer_value_type_with_auto_fallback(ctx, get_proper_type(stnode.type)) if underlying_type is None: return ctx.default_attr_type return underlying_type def _extract_underlying_field_name(typ: Type) -> str | None: """If the given type corresponds to some Enum instance, returns the original name of that enum. For example, if we receive in the type corresponding to 'SomeEnum.FOO', we return the string "SomeEnum.Foo". This helper takes advantage of the fact that Enum instances are valid to use inside Literal[...] types. An expression like 'SomeEnum.FOO' is actually represented by an Instance type with a Literal enum fallback. We can examine this Literal fallback to retrieve the string. """ typ = get_proper_type(typ) if not isinstance(typ, Instance): return None if not typ.type.is_enum: return None underlying_literal = typ.last_known_value if underlying_literal is None: return None # The checks above have verified this LiteralType is representing an enum value, # which means the 'value' field is guaranteed to be the name of the enum field # as a string. assert isinstance(underlying_literal.value, str) return underlying_literal.value ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/functools.py0000644000175100017510000003566215112307767017340 0ustar00runnerrunner"""Plugin for supporting the functools standard library module.""" from __future__ import annotations from typing import Final, NamedTuple import mypy.checker import mypy.plugin import mypy.semanal from mypy.argmap import map_actuals_to_formals from mypy.erasetype import erase_typevars from mypy.nodes import ( ARG_POS, ARG_STAR2, SYMBOL_FUNCBASE_TYPES, ArgKind, Argument, CallExpr, NameExpr, Var, ) from mypy.plugins.common import add_method_to_class from mypy.typeops import get_all_type_vars from mypy.types import ( AnyType, CallableType, Instance, Overloaded, ParamSpecFlavor, ParamSpecType, Type, TypeOfAny, TypeVarType, UnboundType, UnionType, get_proper_type, ) functools_total_ordering_makers: Final = {"functools.total_ordering"} _ORDERING_METHODS: Final = {"__lt__", "__le__", "__gt__", "__ge__"} PARTIAL: Final = "functools.partial" class _MethodInfo(NamedTuple): is_static: bool type: CallableType def functools_total_ordering_maker_callback( ctx: mypy.plugin.ClassDefContext, auto_attribs_default: bool = False ) -> bool: """Add dunder methods to classes decorated with functools.total_ordering.""" comparison_methods = _analyze_class(ctx) if not comparison_methods: ctx.api.fail( 'No ordering operation defined when using "functools.total_ordering": < > <= >=', ctx.reason, ) return True # prefer __lt__ to __le__ to __gt__ to __ge__ root = max(comparison_methods, key=lambda k: (comparison_methods[k] is None, k)) root_method = comparison_methods[root] if not root_method: # None of the defined comparison methods can be analysed return True other_type = _find_other_type(root_method) bool_type = ctx.api.named_type("builtins.bool") ret_type: Type = bool_type if root_method.type.ret_type != ctx.api.named_type("builtins.bool"): proper_ret_type = get_proper_type(root_method.type.ret_type) if not ( isinstance(proper_ret_type, UnboundType) and proper_ret_type.name.split(".")[-1] == "bool" ): ret_type = AnyType(TypeOfAny.implementation_artifact) for additional_op in _ORDERING_METHODS: # Either the method is not implemented # or has an unknown signature that we can now extrapolate. if not comparison_methods.get(additional_op): args = [Argument(Var("other", other_type), other_type, None, ARG_POS)] add_method_to_class(ctx.api, ctx.cls, additional_op, args, ret_type) return True def _find_other_type(method: _MethodInfo) -> Type: """Find the type of the ``other`` argument in a comparison method.""" first_arg_pos = 0 if method.is_static else 1 cur_pos_arg = 0 other_arg = None for arg_kind, arg_type in zip(method.type.arg_kinds, method.type.arg_types): if arg_kind.is_positional(): if cur_pos_arg == first_arg_pos: other_arg = arg_type break cur_pos_arg += 1 elif arg_kind != ARG_STAR2: other_arg = arg_type break if other_arg is None: return AnyType(TypeOfAny.implementation_artifact) return other_arg def _analyze_class(ctx: mypy.plugin.ClassDefContext) -> dict[str, _MethodInfo | None]: """Analyze the class body, its parents, and return the comparison methods found.""" # Traverse the MRO and collect ordering methods. comparison_methods: dict[str, _MethodInfo | None] = {} # Skip object because total_ordering does not use methods from object for cls in ctx.cls.info.mro[:-1]: for name in _ORDERING_METHODS: if name in cls.names and name not in comparison_methods: node = cls.names[name].node if isinstance(node, SYMBOL_FUNCBASE_TYPES) and isinstance(node.type, CallableType): comparison_methods[name] = _MethodInfo(node.is_static, node.type) continue if isinstance(node, Var): proper_type = get_proper_type(node.type) if isinstance(proper_type, CallableType): comparison_methods[name] = _MethodInfo(node.is_staticmethod, proper_type) continue comparison_methods[name] = None return comparison_methods def partial_new_callback(ctx: mypy.plugin.FunctionContext) -> Type: """Infer a more precise return type for functools.partial""" if not isinstance(ctx.api, mypy.checker.TypeChecker): # use internals return ctx.default_return_type if len(ctx.arg_types) != 3: # fn, *args, **kwargs return ctx.default_return_type if len(ctx.arg_types[0]) != 1: return ctx.default_return_type if isinstance(get_proper_type(ctx.arg_types[0][0]), Overloaded): # TODO: handle overloads, just fall back to whatever the non-plugin code does return ctx.default_return_type return handle_partial_with_callee(ctx, callee=ctx.arg_types[0][0]) def handle_partial_with_callee(ctx: mypy.plugin.FunctionContext, callee: Type) -> Type: if not isinstance(ctx.api, mypy.checker.TypeChecker): # use internals return ctx.default_return_type if isinstance(callee_proper := get_proper_type(callee), UnionType): return UnionType.make_union( [handle_partial_with_callee(ctx, item) for item in callee_proper.items] ) fn_type = ctx.api.extract_callable_type(callee, ctx=ctx.default_return_type) if fn_type is None: return ctx.default_return_type # We must normalize from the start to have coherent view together with TypeChecker. fn_type = fn_type.with_unpacked_kwargs().with_normalized_var_args() last_context = ctx.api.type_context[-1] if not fn_type.is_type_obj(): # We wrap the return type to get use of a possible type context provided by caller. # We cannot do this in case of class objects, since otherwise the plugin may get # falsely triggered when evaluating the constructed call itself. ret_type: Type = ctx.api.named_generic_type(PARTIAL, [fn_type.ret_type]) wrapped_return = True else: ret_type = fn_type.ret_type # Instead, for class objects we ignore any type context to avoid spurious errors, # since the type context will be partial[X] etc., not X. ctx.api.type_context[-1] = None wrapped_return = False # Flatten actual to formal mapping, since this is what check_call() expects. actual_args = [] actual_arg_kinds = [] actual_arg_names = [] actual_types = [] seen_args = set() for i, param in enumerate(ctx.args[1:], start=1): for j, a in enumerate(param): if a in seen_args: # Same actual arg can map to multiple formals, but we need to include # each one only once. continue # Here we rely on the fact that expressions are essentially immutable, so # they can be compared by identity. seen_args.add(a) actual_args.append(a) actual_arg_kinds.append(ctx.arg_kinds[i][j]) actual_arg_names.append(ctx.arg_names[i][j]) actual_types.append(ctx.arg_types[i][j]) formal_to_actual = map_actuals_to_formals( actual_kinds=actual_arg_kinds, actual_names=actual_arg_names, formal_kinds=fn_type.arg_kinds, formal_names=fn_type.arg_names, actual_arg_type=lambda i: actual_types[i], ) # We need to remove any type variables that appear only in formals that have # no actuals, to avoid eagerly binding them in check_call() below. can_infer_ids = set() for i, arg_type in enumerate(fn_type.arg_types): if not formal_to_actual[i]: continue can_infer_ids.update({tv.id for tv in get_all_type_vars(arg_type)}) # special_sig="partial" allows omission of args/kwargs typed with ParamSpec defaulted = fn_type.copy_modified( arg_kinds=[ ( ArgKind.ARG_OPT if k == ArgKind.ARG_POS else (ArgKind.ARG_NAMED_OPT if k == ArgKind.ARG_NAMED else k) ) for k in fn_type.arg_kinds ], ret_type=ret_type, variables=[ tv for tv in fn_type.variables # Keep TypeVarTuple/ParamSpec to avoid spurious errors on empty args. if tv.id in can_infer_ids or not isinstance(tv, TypeVarType) ], special_sig="partial", ) if defaulted.line < 0: # Make up a line number if we don't have one defaulted.set_line(ctx.default_return_type) # Create a valid context for various ad-hoc inspections in check_call(). call_expr = CallExpr( callee=ctx.args[0][0], args=actual_args, arg_kinds=actual_arg_kinds, arg_names=actual_arg_names, analyzed=ctx.context.analyzed if isinstance(ctx.context, CallExpr) else None, ) call_expr.set_line(ctx.context) _, bound = ctx.api.expr_checker.check_call( callee=defaulted, args=actual_args, arg_kinds=actual_arg_kinds, arg_names=actual_arg_names, context=call_expr, ) if not wrapped_return: # Restore previously ignored context. ctx.api.type_context[-1] = last_context bound = get_proper_type(bound) if not isinstance(bound, CallableType): return ctx.default_return_type if wrapped_return: # Reverse the wrapping we did above. ret_type = get_proper_type(bound.ret_type) if not isinstance(ret_type, Instance) or ret_type.type.fullname != PARTIAL: return ctx.default_return_type bound = bound.copy_modified(ret_type=ret_type.args[0]) partial_kinds = [] partial_types = [] partial_names = [] # We need to fully apply any positional arguments (they cannot be respecified) # However, keyword arguments can be respecified, so just give them a default for i, actuals in enumerate(formal_to_actual): if len(bound.arg_types) == len(fn_type.arg_types): arg_type = bound.arg_types[i] if not mypy.checker.is_valid_inferred_type(arg_type, ctx.api.options): arg_type = fn_type.arg_types[i] # bit of a hack else: # TODO: I assume that bound and fn_type have the same arguments. It appears this isn't # true when PEP 646 things are happening. See testFunctoolsPartialTypeVarTuple arg_type = fn_type.arg_types[i] if not actuals or fn_type.arg_kinds[i] in (ArgKind.ARG_STAR, ArgKind.ARG_STAR2): partial_kinds.append(fn_type.arg_kinds[i]) partial_types.append(arg_type) partial_names.append(fn_type.arg_names[i]) else: assert actuals if any(actual_arg_kinds[j] in (ArgKind.ARG_POS, ArgKind.ARG_STAR) for j in actuals): # Don't add params for arguments passed positionally continue # Add defaulted params for arguments passed via keyword kind = actual_arg_kinds[actuals[0]] if kind == ArgKind.ARG_NAMED or kind == ArgKind.ARG_STAR2: kind = ArgKind.ARG_NAMED_OPT partial_kinds.append(kind) partial_types.append(arg_type) partial_names.append(fn_type.arg_names[i]) ret_type = bound.ret_type if not mypy.checker.is_valid_inferred_type(ret_type, ctx.api.options): ret_type = fn_type.ret_type # same kind of hack as above partially_applied = fn_type.copy_modified( arg_types=partial_types, arg_kinds=partial_kinds, arg_names=partial_names, ret_type=ret_type, special_sig="partial", ) # Do not leak typevars from generic functions - they cannot be usable. # Keep them in the wrapped callable, but avoid `partial[SomeStrayTypeVar]` erased_ret_type = erase_typevars(ret_type, [tv.id for tv in fn_type.variables]) ret = ctx.api.named_generic_type(PARTIAL, [erased_ret_type]) ret = ret.copy_with_extra_attr("__mypy_partial", partially_applied) if partially_applied.param_spec(): assert ret.extra_attrs is not None # copy_with_extra_attr above ensures this attrs = ret.extra_attrs.copy() if ArgKind.ARG_STAR in actual_arg_kinds: attrs.immutable.add("__mypy_partial_paramspec_args_bound") if ArgKind.ARG_STAR2 in actual_arg_kinds: attrs.immutable.add("__mypy_partial_paramspec_kwargs_bound") ret.extra_attrs = attrs return ret def partial_call_callback(ctx: mypy.plugin.MethodContext) -> Type: """Infer a more precise return type for functools.partial.__call__.""" if ( not isinstance(ctx.api, mypy.checker.TypeChecker) # use internals or not isinstance(ctx.type, Instance) or ctx.type.type.fullname != PARTIAL or not ctx.type.extra_attrs or "__mypy_partial" not in ctx.type.extra_attrs.attrs ): return ctx.default_return_type extra_attrs = ctx.type.extra_attrs partial_type = get_proper_type(extra_attrs.attrs["__mypy_partial"]) if len(ctx.arg_types) != 2: # *args, **kwargs return ctx.default_return_type # See comments for similar actual to formal code above actual_args = [] actual_arg_kinds = [] actual_arg_names = [] seen_args = set() for i, param in enumerate(ctx.args): for j, a in enumerate(param): if a in seen_args: continue seen_args.add(a) actual_args.append(a) actual_arg_kinds.append(ctx.arg_kinds[i][j]) actual_arg_names.append(ctx.arg_names[i][j]) result, _ = ctx.api.expr_checker.check_call( callee=partial_type, args=actual_args, arg_kinds=actual_arg_kinds, arg_names=actual_arg_names, context=ctx.context, ) if not isinstance(partial_type, CallableType) or partial_type.param_spec() is None: return result args_bound = "__mypy_partial_paramspec_args_bound" in extra_attrs.immutable kwargs_bound = "__mypy_partial_paramspec_kwargs_bound" in extra_attrs.immutable passed_paramspec_parts = [ arg.node.type for arg in actual_args if isinstance(arg, NameExpr) and isinstance(arg.node, Var) and isinstance(arg.node.type, ParamSpecType) ] # ensure *args: P.args args_passed = any(part.flavor == ParamSpecFlavor.ARGS for part in passed_paramspec_parts) if not args_bound and not args_passed: ctx.api.expr_checker.msg.too_few_arguments(partial_type, ctx.context, actual_arg_names) elif args_bound and args_passed: ctx.api.expr_checker.msg.too_many_arguments(partial_type, ctx.context) # ensure **kwargs: P.kwargs kwargs_passed = any(part.flavor == ParamSpecFlavor.KWARGS for part in passed_paramspec_parts) if not kwargs_bound and not kwargs_passed: ctx.api.expr_checker.msg.too_few_arguments(partial_type, ctx.context, actual_arg_names) return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/proper_plugin.py0000644000175100017510000001457315112307767020207 0ustar00runnerrunner""" This plugin is helpful for mypy development itself. By default, it is not enabled for mypy users. It also can be used by plugin developers as a part of their CI checks. It finds missing ``get_proper_type()`` call, which can lead to multiple errors. """ from __future__ import annotations from typing import Callable from mypy.checker import TypeChecker from mypy.nodes import TypeInfo from mypy.plugin import FunctionContext, Plugin from mypy.subtypes import is_proper_subtype from mypy.types import ( AnyType, FunctionLike, Instance, NoneTyp, ProperType, TupleType, Type, UnionType, get_proper_type, get_proper_types, ) class ProperTypePlugin(Plugin): """ A plugin to ensure that every type is expanded before doing any special-casing. This solves the problem that we have hundreds of call sites like: if isinstance(typ, UnionType): ... # special-case union But after introducing a new type TypeAliasType (and removing immediate expansion) all these became dangerous because typ may be e.g. an alias to union. """ def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname == "builtins.isinstance": return isinstance_proper_hook if fullname == "mypy.types.get_proper_type": return proper_type_hook if fullname == "mypy.types.get_proper_types": return proper_types_hook return None def isinstance_proper_hook(ctx: FunctionContext) -> Type: if len(ctx.arg_types) != 2 or not ctx.arg_types[1]: return ctx.default_return_type right = get_proper_type(ctx.arg_types[1][0]) for arg in ctx.arg_types[0]: if ( is_improper_type(arg) or isinstance(get_proper_type(arg), AnyType) ) and is_dangerous_target(right): if is_special_target(right): return ctx.default_return_type ctx.api.fail( "Never apply isinstance() to unexpanded types;" " use mypy.types.get_proper_type() first", ctx.context, ) ctx.api.note( # type: ignore[attr-defined] "If you pass on the original type" " after the check, always use its unexpanded version", ctx.context, ) return ctx.default_return_type def is_special_target(right: ProperType) -> bool: """Whitelist some special cases for use in isinstance() with improper types.""" if isinstance(right, FunctionLike) and right.is_type_obj(): if right.type_object().fullname == "builtins.tuple": # Used with Union[Type, Tuple[Type, ...]]. return True if right.type_object().fullname in ( "mypy.types.Type", "mypy.types.ProperType", "mypy.types.TypeAliasType", ): # Special case: things like assert isinstance(typ, ProperType) are always OK. return True if right.type_object().fullname in ( "mypy.types.UnboundType", "mypy.types.TypeVarLikeType", "mypy.types.TypeVarType", "mypy.types.UnpackType", "mypy.types.TypeVarTupleType", "mypy.types.ParamSpecType", "mypy.types.Parameters", "mypy.types.RawExpressionType", "mypy.types.EllipsisType", "mypy.types.StarType", "mypy.types.TypeList", "mypy.types.CallableArgument", "mypy.types.PartialType", "mypy.types.ErasedType", "mypy.types.DeletedType", "mypy.types.RequiredType", "mypy.types.ReadOnlyType", "mypy.types.TypeGuardedType", ): # Special case: these are not valid targets for a type alias and thus safe. # TODO: introduce a SyntheticType base to simplify this? return True elif isinstance(right, TupleType): return all(is_special_target(t) for t in get_proper_types(right.items)) return False def is_improper_type(typ: Type) -> bool: """Is this a type that is not a subtype of ProperType?""" typ = get_proper_type(typ) if isinstance(typ, Instance): info = typ.type return info.has_base("mypy.types.Type") and not info.has_base("mypy.types.ProperType") if isinstance(typ, UnionType): return any(is_improper_type(t) for t in typ.items) return False def is_dangerous_target(typ: ProperType) -> bool: """Is this a dangerous target (right argument) for an isinstance() check?""" if isinstance(typ, TupleType): return any(is_dangerous_target(get_proper_type(t)) for t in typ.items) if isinstance(typ, FunctionLike) and typ.is_type_obj(): return typ.type_object().has_base("mypy.types.Type") return False def proper_type_hook(ctx: FunctionContext) -> Type: """Check if this get_proper_type() call is not redundant.""" arg_types = ctx.arg_types[0] if arg_types: arg_type = get_proper_type(arg_types[0]) proper_type = get_proper_type_instance(ctx) if is_proper_subtype(arg_type, UnionType.make_union([NoneTyp(), proper_type])): # Minimize amount of spurious errors from overload machinery. # TODO: call the hook on the overload as a whole? if isinstance(arg_type, (UnionType, Instance)): ctx.api.fail("Redundant call to get_proper_type()", ctx.context) return ctx.default_return_type def proper_types_hook(ctx: FunctionContext) -> Type: """Check if this get_proper_types() call is not redundant.""" arg_types = ctx.arg_types[0] if arg_types: arg_type = arg_types[0] proper_type = get_proper_type_instance(ctx) item_type = UnionType.make_union([NoneTyp(), proper_type]) ok_type = ctx.api.named_generic_type("typing.Iterable", [item_type]) if is_proper_subtype(arg_type, ok_type): ctx.api.fail("Redundant call to get_proper_types()", ctx.context) return ctx.default_return_type def get_proper_type_instance(ctx: FunctionContext) -> Instance: checker = ctx.api assert isinstance(checker, TypeChecker) types = checker.modules["mypy.types"] proper_type_info = types.names["ProperType"] assert isinstance(proper_type_info.node, TypeInfo) return Instance(proper_type_info.node, []) def plugin(version: str) -> type[ProperTypePlugin]: return ProperTypePlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/plugins/singledispatch.py0000644000175100017510000002000115112307767020302 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Sequence from typing import NamedTuple, TypeVar, Union from typing_extensions import TypeAlias as _TypeAlias from mypy.messages import format_type from mypy.nodes import ARG_POS, Argument, Block, ClassDef, Context, SymbolTable, TypeInfo, Var from mypy.options import Options from mypy.plugin import CheckerPluginInterface, FunctionContext, MethodContext, MethodSigContext from mypy.plugins.common import add_method_to_class from mypy.plugins.constants import SINGLEDISPATCH_REGISTER_RETURN_CLASS from mypy.subtypes import is_subtype from mypy.types import ( AnyType, CallableType, FunctionLike, Instance, NoneType, Overloaded, Type, TypeOfAny, get_proper_type, ) class SingledispatchTypeVars(NamedTuple): return_type: Type fallback: CallableType class RegisterCallableInfo(NamedTuple): register_type: Type singledispatch_obj: Instance def get_singledispatch_info(typ: Instance) -> SingledispatchTypeVars | None: if len(typ.args) == 2: return SingledispatchTypeVars(*typ.args) # type: ignore[arg-type] return None T = TypeVar("T") def get_first_arg(args: list[list[T]]) -> T | None: """Get the element that corresponds to the first argument passed to the function""" if args and args[0]: return args[0][0] return None def make_fake_register_class_instance( api: CheckerPluginInterface, type_args: Sequence[Type] ) -> Instance: defn = ClassDef(SINGLEDISPATCH_REGISTER_RETURN_CLASS, Block([])) defn.fullname = f"functools.{SINGLEDISPATCH_REGISTER_RETURN_CLASS}" info = TypeInfo(SymbolTable(), defn, "functools") obj_type = api.named_generic_type("builtins.object", []).type info.bases = [Instance(obj_type, [])] info.mro = [info, obj_type] defn.info = info func_arg = Argument(Var("name"), AnyType(TypeOfAny.implementation_artifact), None, ARG_POS) add_method_to_class(api, defn, "__call__", [func_arg], NoneType()) return Instance(info, type_args) PluginContext: _TypeAlias = Union[FunctionContext, MethodContext] def fail(ctx: PluginContext, msg: str, context: Context | None) -> None: """Emit an error message. This tries to emit an error message at the location specified by `context`, falling back to the location specified by `ctx.context`. This is helpful when the only context information about where you want to put the error message may be None (like it is for `CallableType.definition`) and falling back to the location of the calling function is fine.""" # TODO: figure out if there is some more reliable way of getting context information, so this # function isn't necessary if context is not None: err_context = context else: err_context = ctx.context ctx.api.fail(msg, err_context) def create_singledispatch_function_callback(ctx: FunctionContext) -> Type: """Called for functools.singledispatch""" func_type = get_proper_type(get_first_arg(ctx.arg_types)) if isinstance(func_type, CallableType): if len(func_type.arg_kinds) < 1: fail( ctx, "Singledispatch function requires at least one argument", func_type.definition ) return ctx.default_return_type elif not func_type.arg_kinds[0].is_positional(star=True): fail( ctx, "First argument to singledispatch function must be a positional argument", func_type.definition, ) return ctx.default_return_type # singledispatch returns an instance of functools._SingleDispatchCallable according to # typeshed singledispatch_obj = get_proper_type(ctx.default_return_type) assert isinstance(singledispatch_obj, Instance) singledispatch_obj.args += (func_type,) return ctx.default_return_type def singledispatch_register_callback(ctx: MethodContext) -> Type: """Called for functools._SingleDispatchCallable.register""" assert isinstance(ctx.type, Instance) # TODO: check that there's only one argument first_arg_type = get_proper_type(get_first_arg(ctx.arg_types)) if isinstance(first_arg_type, (CallableType, Overloaded)) and first_arg_type.is_type_obj(): # HACK: We received a class as an argument to register. We need to be able # to access the function that register is being applied to, and the typeshed definition # of register has it return a generic Callable, so we create a new # SingleDispatchRegisterCallable class, define a __call__ method, and then add a # plugin hook for that. # is_subtype doesn't work when the right type is Overloaded, so we need the # actual type register_type = first_arg_type.items[0].ret_type type_args = RegisterCallableInfo(register_type, ctx.type) register_callable = make_fake_register_class_instance(ctx.api, type_args) return register_callable elif isinstance(first_arg_type, CallableType): # TODO: do more checking for registered functions register_function(ctx, ctx.type, first_arg_type, ctx.api.options) # The typeshed stubs for register say that the function returned is Callable[..., T], even # though the function returned is the same as the one passed in. We return the type of the # function so that mypy can properly type check cases where the registered function is used # directly (instead of through singledispatch) return first_arg_type # fallback in case we don't recognize the arguments return ctx.default_return_type def register_function( ctx: PluginContext, singledispatch_obj: Instance, func: Type, options: Options, register_arg: Type | None = None, ) -> None: """Register a function""" func = get_proper_type(func) if not isinstance(func, CallableType): return metadata = get_singledispatch_info(singledispatch_obj) if metadata is None: # if we never added the fallback to the type variables, we already reported an error, so # just don't do anything here return dispatch_type = get_dispatch_type(func, register_arg) if dispatch_type is None: # TODO: report an error here that singledispatch requires at least one argument # (might want to do the error reporting in get_dispatch_type) return fallback = metadata.fallback fallback_dispatch_type = fallback.arg_types[0] if not is_subtype(dispatch_type, fallback_dispatch_type): fail( ctx, "Dispatch type {} must be subtype of fallback function first argument {}".format( format_type(dispatch_type, options), format_type(fallback_dispatch_type, options) ), func.definition, ) return return def get_dispatch_type(func: CallableType, register_arg: Type | None) -> Type | None: if register_arg is not None: return register_arg if func.arg_types: return func.arg_types[0] return None def call_singledispatch_function_after_register_argument(ctx: MethodContext) -> Type: """Called on the function after passing a type to register""" register_callable = ctx.type if isinstance(register_callable, Instance): type_args = RegisterCallableInfo(*register_callable.args) # type: ignore[arg-type] func = get_first_arg(ctx.arg_types) if func is not None: register_function( ctx, type_args.singledispatch_obj, func, ctx.api.options, type_args.register_type ) # see call to register_function in the callback for register return func return ctx.default_return_type def call_singledispatch_function_callback(ctx: MethodSigContext) -> FunctionLike: """Called for functools._SingleDispatchCallable.__call__""" if not isinstance(ctx.type, Instance): return ctx.default_signature metadata = get_singledispatch_info(ctx.type) if metadata is None: return ctx.default_signature return metadata.fallback ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/py.typed0000644000175100017510000000010015112307767014743 0ustar00runnerrunner# Marker file for PEP 561. The mypy package uses inline types. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/pyinfo.py0000644000175100017510000000570615112307767015143 0ustar00runnerrunnerfrom __future__ import annotations """Utilities to find the site and prefix information of a Python executable. This file MUST remain compatible with all Python 3.9+ versions. Since we cannot make any assumptions about the Python being executed, this module should not use *any* dependencies outside of the standard library found in Python 3.9. This file is run each mypy run, so it should be kept as fast as possible. """ import sys if __name__ == "__main__": # HACK: We don't want to pick up mypy.types as the top-level types # module. This could happen if this file is run as a script. # This workaround fixes this for Python versions before 3.11. if sys.version_info < (3, 11): old_sys_path = sys.path sys.path = sys.path[1:] import types # noqa: F401 sys.path = old_sys_path import os import site import sysconfig def getsitepackages() -> list[str]: res = [] if hasattr(site, "getsitepackages"): res.extend(site.getsitepackages()) if hasattr(site, "getusersitepackages") and site.ENABLE_USER_SITE: res.insert(0, site.getusersitepackages()) else: res = [sysconfig.get_paths()["purelib"]] return res def getsyspath() -> list[str]: # Do not include things from the standard library # because those should come from typeshed. stdlib_zip = os.path.join( sys.base_exec_prefix, getattr(sys, "platlibdir", "lib"), f"python{sys.version_info.major}{sys.version_info.minor}.zip", ) stdlib = sysconfig.get_path("stdlib") stdlib_ext = os.path.join(stdlib, "lib-dynload") excludes = {stdlib_zip, stdlib, stdlib_ext} # Drop the first entry of sys.path # - If pyinfo.py is executed as a script (in a subprocess), this is the directory # containing pyinfo.py # - Otherwise, if mypy launched via console script, this is the directory of the script # - Otherwise, if mypy launched via python -m mypy, this is the current directory # In all these cases, it is desirable to drop the first entry # Note that mypy adds the cwd to SearchPaths.python_path, so we still find things on the # cwd consistently (the return value here sets SearchPaths.package_path) # Python 3.11 adds a "safe_path" flag wherein Python won't automatically prepend # anything to sys.path. In this case, the first entry of sys.path is no longer special. offset = 0 if sys.version_info >= (3, 11) and sys.flags.safe_path else 1 abs_sys_path = (os.path.abspath(p) for p in sys.path[offset:]) return [p for p in abs_sys_path if p not in excludes] def getsearchdirs() -> tuple[list[str], list[str]]: return (getsyspath(), getsitepackages()) if __name__ == "__main__": sys.stdout.reconfigure(encoding="utf-8") # type: ignore[union-attr] if sys.argv[-1] == "getsearchdirs": print(repr(getsearchdirs())) else: print("ERROR: incorrect argument to pyinfo.py.", file=sys.stderr) sys.exit(1) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/reachability.py0000644000175100017510000003132515112307767016273 0ustar00runnerrunner"""Utilities related to determining the reachability of code (in semantic analysis).""" from __future__ import annotations from typing import Final, TypeVar from mypy.literals import literal from mypy.nodes import ( LITERAL_YES, AssertStmt, Block, CallExpr, ComparisonExpr, Expression, FuncDef, IfStmt, Import, ImportAll, ImportFrom, IndexExpr, IntExpr, MatchStmt, MemberExpr, NameExpr, OpExpr, SliceExpr, StrExpr, TupleExpr, UnaryExpr, ) from mypy.options import Options from mypy.patterns import AsPattern, OrPattern, Pattern from mypy.traverser import TraverserVisitor # Inferred truth value of an expression. ALWAYS_TRUE: Final = 1 MYPY_TRUE: Final = 2 # True in mypy, False at runtime ALWAYS_FALSE: Final = 3 MYPY_FALSE: Final = 4 # False in mypy, True at runtime TRUTH_VALUE_UNKNOWN: Final = 5 inverted_truth_mapping: Final = { ALWAYS_TRUE: ALWAYS_FALSE, ALWAYS_FALSE: ALWAYS_TRUE, TRUTH_VALUE_UNKNOWN: TRUTH_VALUE_UNKNOWN, MYPY_TRUE: MYPY_FALSE, MYPY_FALSE: MYPY_TRUE, } reverse_op: Final = {"==": "==", "!=": "!=", "<": ">", ">": "<", "<=": ">=", ">=": "<="} def infer_reachability_of_if_statement(s: IfStmt, options: Options) -> None: for i in range(len(s.expr)): result = infer_condition_value(s.expr[i], options) if result in (ALWAYS_FALSE, MYPY_FALSE): # The condition is considered always false, so we skip the if/elif body. mark_block_unreachable(s.body[i]) elif result in (ALWAYS_TRUE, MYPY_TRUE): # This condition is considered always true, so all of the remaining # elif/else bodies should not be checked. if result == MYPY_TRUE: # This condition is false at runtime; this will affect # import priorities. mark_block_mypy_only(s.body[i]) for body in s.body[i + 1 :]: mark_block_unreachable(body) # Make sure else body always exists and is marked as # unreachable so the type checker always knows that # all control flow paths will flow through the if # statement body. if not s.else_body: s.else_body = Block([]) mark_block_unreachable(s.else_body) break def infer_reachability_of_match_statement(s: MatchStmt, options: Options) -> None: for i, guard in enumerate(s.guards): pattern_value = infer_pattern_value(s.patterns[i]) if guard is not None: guard_value = infer_condition_value(guard, options) else: guard_value = ALWAYS_TRUE if pattern_value in (ALWAYS_FALSE, MYPY_FALSE) or guard_value in ( ALWAYS_FALSE, MYPY_FALSE, ): # The case is considered always false, so we skip the case body. mark_block_unreachable(s.bodies[i]) elif pattern_value in (ALWAYS_FALSE, MYPY_TRUE) and guard_value in ( ALWAYS_TRUE, MYPY_TRUE, ): for body in s.bodies[i + 1 :]: mark_block_unreachable(body) if guard_value == MYPY_TRUE: # This condition is false at runtime; this will affect # import priorities. mark_block_mypy_only(s.bodies[i]) def assert_will_always_fail(s: AssertStmt, options: Options) -> bool: return infer_condition_value(s.expr, options) in (ALWAYS_FALSE, MYPY_FALSE) def infer_condition_value(expr: Expression, options: Options) -> int: """Infer whether the given condition is always true/false. Return ALWAYS_TRUE if always true, ALWAYS_FALSE if always false, MYPY_TRUE if true under mypy and false at runtime, MYPY_FALSE if false under mypy and true at runtime, else TRUTH_VALUE_UNKNOWN. """ if isinstance(expr, UnaryExpr) and expr.op == "not": positive = infer_condition_value(expr.expr, options) return inverted_truth_mapping[positive] pyversion = options.python_version name = "" result = TRUTH_VALUE_UNKNOWN if isinstance(expr, NameExpr): name = expr.name elif isinstance(expr, MemberExpr): name = expr.name elif isinstance(expr, OpExpr): if expr.op not in ("or", "and"): return TRUTH_VALUE_UNKNOWN left = infer_condition_value(expr.left, options) right = infer_condition_value(expr.right, options) results = {left, right} if expr.op == "or": if ALWAYS_TRUE in results: return ALWAYS_TRUE elif MYPY_TRUE in results: return MYPY_TRUE elif left == right == MYPY_FALSE: return MYPY_FALSE elif results <= {ALWAYS_FALSE, MYPY_FALSE}: return ALWAYS_FALSE elif expr.op == "and": if ALWAYS_FALSE in results: return ALWAYS_FALSE elif MYPY_FALSE in results: return MYPY_FALSE elif left == right == ALWAYS_TRUE: return ALWAYS_TRUE elif results <= {ALWAYS_TRUE, MYPY_TRUE}: return MYPY_TRUE return TRUTH_VALUE_UNKNOWN else: result = consider_sys_version_info(expr, pyversion) if result == TRUTH_VALUE_UNKNOWN: result = consider_sys_platform(expr, options.platform) if result == TRUTH_VALUE_UNKNOWN: if name == "PY2": result = ALWAYS_FALSE elif name == "PY3": result = ALWAYS_TRUE elif name == "MYPY" or name == "TYPE_CHECKING": result = MYPY_TRUE elif name in options.always_true: result = ALWAYS_TRUE elif name in options.always_false: result = ALWAYS_FALSE return result def infer_pattern_value(pattern: Pattern) -> int: if isinstance(pattern, AsPattern) and pattern.pattern is None: return ALWAYS_TRUE elif isinstance(pattern, OrPattern) and any( infer_pattern_value(p) == ALWAYS_TRUE for p in pattern.patterns ): return ALWAYS_TRUE else: return TRUTH_VALUE_UNKNOWN def consider_sys_version_info(expr: Expression, pyversion: tuple[int, ...]) -> int: """Consider whether expr is a comparison involving sys.version_info. Return ALWAYS_TRUE, ALWAYS_FALSE, or TRUTH_VALUE_UNKNOWN. """ # Cases supported: # - sys.version_info[] # - sys.version_info[:] # - sys.version_info # (in this case must be >, >=, <, <=, but cannot be ==, !=) if not isinstance(expr, ComparisonExpr): return TRUTH_VALUE_UNKNOWN # Let's not yet support chained comparisons. if len(expr.operators) > 1: return TRUTH_VALUE_UNKNOWN op = expr.operators[0] if op not in ("==", "!=", "<=", ">=", "<", ">"): return TRUTH_VALUE_UNKNOWN index = contains_sys_version_info(expr.operands[0]) thing = contains_int_or_tuple_of_ints(expr.operands[1]) if index is None or thing is None: index = contains_sys_version_info(expr.operands[1]) thing = contains_int_or_tuple_of_ints(expr.operands[0]) op = reverse_op[op] if isinstance(index, int) and isinstance(thing, int): # sys.version_info[i] k if 0 <= index <= 1: return fixed_comparison(pyversion[index], op, thing) else: return TRUTH_VALUE_UNKNOWN elif isinstance(index, tuple) and isinstance(thing, tuple): lo, hi = index if lo is None: lo = 0 if hi is None: hi = 2 if 0 <= lo < hi <= 2: val = pyversion[lo:hi] if len(val) == len(thing) or len(val) > len(thing) and op not in ("==", "!="): return fixed_comparison(val, op, thing) return TRUTH_VALUE_UNKNOWN def consider_sys_platform(expr: Expression, platform: str) -> int: """Consider whether expr is a comparison involving sys.platform. Return ALWAYS_TRUE, ALWAYS_FALSE, or TRUTH_VALUE_UNKNOWN. """ # Cases supported: # - sys.platform == 'linux' # - sys.platform != 'win32' # - sys.platform.startswith('win') if isinstance(expr, ComparisonExpr): # Let's not yet support chained comparisons. if len(expr.operators) > 1: return TRUTH_VALUE_UNKNOWN op = expr.operators[0] if op not in ("==", "!="): return TRUTH_VALUE_UNKNOWN if not is_sys_attr(expr.operands[0], "platform"): return TRUTH_VALUE_UNKNOWN right = expr.operands[1] if not isinstance(right, StrExpr): return TRUTH_VALUE_UNKNOWN return fixed_comparison(platform, op, right.value) elif isinstance(expr, CallExpr): if not isinstance(expr.callee, MemberExpr): return TRUTH_VALUE_UNKNOWN if len(expr.args) != 1 or not isinstance(expr.args[0], StrExpr): return TRUTH_VALUE_UNKNOWN if not is_sys_attr(expr.callee.expr, "platform"): return TRUTH_VALUE_UNKNOWN if expr.callee.name != "startswith": return TRUTH_VALUE_UNKNOWN if platform.startswith(expr.args[0].value): return ALWAYS_TRUE else: return ALWAYS_FALSE else: return TRUTH_VALUE_UNKNOWN Targ = TypeVar("Targ", int, str, tuple[int, ...]) def fixed_comparison(left: Targ, op: str, right: Targ) -> int: rmap = {False: ALWAYS_FALSE, True: ALWAYS_TRUE} if op == "==": return rmap[left == right] if op == "!=": return rmap[left != right] if op == "<=": return rmap[left <= right] if op == ">=": return rmap[left >= right] if op == "<": return rmap[left < right] if op == ">": return rmap[left > right] return TRUTH_VALUE_UNKNOWN def contains_int_or_tuple_of_ints(expr: Expression) -> None | int | tuple[int, ...]: if isinstance(expr, IntExpr): return expr.value if isinstance(expr, TupleExpr): if literal(expr) == LITERAL_YES: thing = [] for x in expr.items: if not isinstance(x, IntExpr): return None thing.append(x.value) return tuple(thing) return None def contains_sys_version_info(expr: Expression) -> None | int | tuple[int | None, int | None]: if is_sys_attr(expr, "version_info"): return (None, None) # Same as sys.version_info[:] if isinstance(expr, IndexExpr) and is_sys_attr(expr.base, "version_info"): index = expr.index if isinstance(index, IntExpr): return index.value if isinstance(index, SliceExpr): if index.stride is not None: if not isinstance(index.stride, IntExpr) or index.stride.value != 1: return None begin = end = None if index.begin_index is not None: if not isinstance(index.begin_index, IntExpr): return None begin = index.begin_index.value if index.end_index is not None: if not isinstance(index.end_index, IntExpr): return None end = index.end_index.value return (begin, end) return None def is_sys_attr(expr: Expression, name: str) -> bool: # TODO: This currently doesn't work with code like this: # - import sys as _sys # - from sys import version_info if isinstance(expr, MemberExpr) and expr.name == name: if isinstance(expr.expr, NameExpr) and expr.expr.name == "sys": # TODO: Guard against a local named sys, etc. # (Though later passes will still do most checking.) return True return False def mark_block_unreachable(block: Block) -> None: block.is_unreachable = True block.accept(MarkImportsUnreachableVisitor()) class MarkImportsUnreachableVisitor(TraverserVisitor): """Visitor that flags all imports nested within a node as unreachable.""" def visit_import(self, node: Import) -> None: node.is_unreachable = True def visit_import_from(self, node: ImportFrom) -> None: node.is_unreachable = True def visit_import_all(self, node: ImportAll) -> None: node.is_unreachable = True def mark_block_mypy_only(block: Block) -> None: block.accept(MarkImportsMypyOnlyVisitor()) class MarkImportsMypyOnlyVisitor(TraverserVisitor): """Visitor that sets is_mypy_only (which affects priority).""" def visit_import(self, node: Import) -> None: node.is_mypy_only = True def visit_import_from(self, node: ImportFrom) -> None: node.is_mypy_only = True def visit_import_all(self, node: ImportAll) -> None: node.is_mypy_only = True def visit_func_def(self, node: FuncDef) -> None: node.is_mypy_only = True ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/refinfo.py0000644000175100017510000000534015112307767015261 0ustar00runnerrunner"""Find line-level reference information from a mypy AST (undocumented feature)""" from __future__ import annotations from mypy.nodes import ( LDEF, Expression, FuncDef, MemberExpr, MypyFile, NameExpr, RefExpr, SymbolNode, TypeInfo, ) from mypy.traverser import TraverserVisitor from mypy.typeops import tuple_fallback from mypy.types import ( FunctionLike, Instance, TupleType, Type, TypeType, TypeVarLikeType, get_proper_type, ) class RefInfoVisitor(TraverserVisitor): def __init__(self, type_map: dict[Expression, Type]) -> None: super().__init__() self.type_map = type_map self.data: list[dict[str, object]] = [] def visit_name_expr(self, expr: NameExpr) -> None: super().visit_name_expr(expr) self.record_ref_expr(expr) def visit_member_expr(self, expr: MemberExpr) -> None: super().visit_member_expr(expr) self.record_ref_expr(expr) def visit_func_def(self, func: FuncDef) -> None: if func.expanded: for item in func.expanded: if isinstance(item, FuncDef): super().visit_func_def(item) else: super().visit_func_def(func) def record_ref_expr(self, expr: RefExpr) -> None: fullname = None if expr.kind != LDEF and "." in expr.fullname: fullname = expr.fullname elif isinstance(expr, MemberExpr): typ = self.type_map.get(expr.expr) sym = None if isinstance(expr.expr, RefExpr): sym = expr.expr.node if typ: tfn = type_fullname(typ, sym) if tfn: fullname = f"{tfn}.{expr.name}" if not fullname: fullname = f"*.{expr.name}" if fullname is not None: self.data.append({"line": expr.line, "column": expr.column, "target": fullname}) def type_fullname(typ: Type, node: SymbolNode | None = None) -> str | None: typ = get_proper_type(typ) if isinstance(typ, Instance): return typ.type.fullname elif isinstance(typ, TypeType): return type_fullname(typ.item) elif isinstance(typ, FunctionLike) and typ.is_type_obj(): if isinstance(node, TypeInfo): return node.fullname return type_fullname(typ.fallback) elif isinstance(typ, TupleType): return type_fullname(tuple_fallback(typ)) elif isinstance(typ, TypeVarLikeType): return type_fullname(typ.upper_bound) return None def get_undocumented_ref_info_json( tree: MypyFile, type_map: dict[Expression, Type] ) -> list[dict[str, object]]: visitor = RefInfoVisitor(type_map) tree.accept(visitor) return visitor.data ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/renaming.py0000644000175100017510000005001615112307767015431 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterator from contextlib import contextmanager from typing import Final from mypy.nodes import ( AssignmentStmt, Block, BreakStmt, ClassDef, ContinueStmt, ForStmt, FuncDef, Import, ImportAll, ImportFrom, IndexExpr, ListExpr, Lvalue, MatchStmt, MemberExpr, MypyFile, NameExpr, StarExpr, TryStmt, TupleExpr, WhileStmt, WithStmt, ) from mypy.patterns import AsPattern from mypy.traverser import TraverserVisitor # Scope kinds FILE: Final = 0 FUNCTION: Final = 1 CLASS: Final = 2 class VariableRenameVisitor(TraverserVisitor): """Rename variables to allow redefinition of variables. For example, consider this code: x = 0 f(x) x = "a" g(x) It will be transformed like this: x' = 0 f(x') x = "a" g(x) There will be two independent variables (x' and x) that will have separate inferred types. The publicly exposed variant will get the non-suffixed name. This is the last definition at module top level and the first definition (argument) within a function. Renaming only happens for assignments within the same block. Renaming is performed before semantic analysis, immediately after parsing. The implementation performs a rudimentary static analysis. The analysis is overly conservative to keep things simple. """ def __init__(self) -> None: # Counter for labeling new blocks self.block_id = 0 # Number of surrounding try statements that disallow variable redefinition self.disallow_redef_depth = 0 # Number of surrounding loop statements self.loop_depth = 0 # Map block id to loop depth. self.block_loop_depth: dict[int, int] = {} # Stack of block ids being processed. self.blocks: list[int] = [] # List of scopes; each scope maps short (unqualified) name to block id. self.var_blocks: list[dict[str, int]] = [] # References to variables that we may need to rename. List of # scopes; each scope is a mapping from name to list of collections # of names that refer to the same logical variable. self.refs: list[dict[str, list[list[NameExpr]]]] = [] # Number of reads of the most recent definition of a variable (per scope) self.num_reads: list[dict[str, int]] = [] # Kinds of nested scopes (FILE, FUNCTION or CLASS) self.scope_kinds: list[int] = [] def visit_mypy_file(self, file_node: MypyFile) -> None: """Rename variables within a file. This is the main entry point to this class. """ self.clear() with self.enter_scope(FILE), self.enter_block(): for d in file_node.defs: d.accept(self) def visit_func_def(self, fdef: FuncDef) -> None: # Conservatively do not allow variable defined before a function to # be redefined later, since function could refer to either definition. self.reject_redefinition_of_vars_in_scope() with self.enter_scope(FUNCTION), self.enter_block(): for arg in fdef.arguments: name = arg.variable.name # 'self' can't be redefined since it's special as it allows definition of # attributes. 'cls' can't be used to define attributes so we can ignore it. can_be_redefined = name != "self" # TODO: Proper check self.record_assignment(arg.variable.name, can_be_redefined) self.handle_arg(name) for stmt in fdef.body.body: stmt.accept(self) def visit_class_def(self, cdef: ClassDef) -> None: self.reject_redefinition_of_vars_in_scope() with self.enter_scope(CLASS): super().visit_class_def(cdef) def visit_block(self, block: Block) -> None: with self.enter_block(): super().visit_block(block) def visit_while_stmt(self, stmt: WhileStmt) -> None: with self.enter_loop(): super().visit_while_stmt(stmt) def visit_for_stmt(self, stmt: ForStmt) -> None: stmt.expr.accept(self) self.analyze_lvalue(stmt.index, True) # Also analyze as non-lvalue so that every for loop index variable is assumed to be read. stmt.index.accept(self) with self.enter_loop(): stmt.body.accept(self) if stmt.else_body: stmt.else_body.accept(self) def visit_break_stmt(self, stmt: BreakStmt) -> None: self.reject_redefinition_of_vars_in_loop() def visit_continue_stmt(self, stmt: ContinueStmt) -> None: self.reject_redefinition_of_vars_in_loop() def visit_try_stmt(self, stmt: TryStmt) -> None: # Variables defined by a try statement get special treatment in the # type checker which allows them to be always redefined, so no need to # do renaming here. with self.enter_try(): stmt.body.accept(self) for var, tp, handler in zip(stmt.vars, stmt.types, stmt.handlers): with self.enter_block(): # Handle except variable together with its body if tp is not None: tp.accept(self) if var is not None: self.handle_def(var) for s in handler.body: s.accept(self) if stmt.else_body is not None: stmt.else_body.accept(self) if stmt.finally_body is not None: stmt.finally_body.accept(self) def visit_with_stmt(self, stmt: WithStmt) -> None: for expr in stmt.expr: expr.accept(self) for target in stmt.target: if target is not None: self.analyze_lvalue(target) # We allow redefinitions in the body of a with statement for # convenience. This is unsafe since with statements can affect control # flow by catching exceptions, but this is rare except for # assertRaises() and other similar functions, where the exception is # raised by the last statement in the body, which usually isn't a # problem. stmt.body.accept(self) def visit_import(self, imp: Import) -> None: for id, as_id in imp.ids: self.record_assignment(as_id or id, False) def visit_import_from(self, imp: ImportFrom) -> None: for id, as_id in imp.names: self.record_assignment(as_id or id, False) def visit_assignment_stmt(self, s: AssignmentStmt) -> None: s.rvalue.accept(self) for lvalue in s.lvalues: self.analyze_lvalue(lvalue) def visit_match_stmt(self, s: MatchStmt) -> None: s.subject.accept(self) for i in range(len(s.patterns)): with self.enter_block(): s.patterns[i].accept(self) guard = s.guards[i] if guard is not None: guard.accept(self) # We already entered a block, so visit this block's statements directly for stmt in s.bodies[i].body: stmt.accept(self) def visit_capture_pattern(self, p: AsPattern) -> None: if p.name is not None: self.analyze_lvalue(p.name) def analyze_lvalue(self, lvalue: Lvalue, is_nested: bool = False) -> None: """Process assignment; in particular, keep track of (re)defined names. Args: is_nested: True for non-outermost Lvalue in a multiple assignment such as "x, y = ..." """ if isinstance(lvalue, NameExpr): name = lvalue.name is_new = self.record_assignment(name, True) if is_new: self.handle_def(lvalue) else: self.handle_refine(lvalue) if is_nested: # This allows these to be redefined freely even if never read. Multiple # assignment like "x, _ _ = y" defines dummy variables that are never read. self.handle_ref(lvalue) elif isinstance(lvalue, (ListExpr, TupleExpr)): for item in lvalue.items: self.analyze_lvalue(item, is_nested=True) elif isinstance(lvalue, MemberExpr): lvalue.expr.accept(self) elif isinstance(lvalue, IndexExpr): lvalue.base.accept(self) lvalue.index.accept(self) elif isinstance(lvalue, StarExpr): # Propagate is_nested since in a typical use case like "x, *rest = ..." 'rest' may # be freely reused. self.analyze_lvalue(lvalue.expr, is_nested=is_nested) def visit_name_expr(self, expr: NameExpr) -> None: self.handle_ref(expr) # Helpers for renaming references def handle_arg(self, name: str) -> None: """Store function argument.""" self.refs[-1][name] = [[]] self.num_reads[-1][name] = 0 def handle_def(self, expr: NameExpr) -> None: """Store new name definition.""" name = expr.name names = self.refs[-1].setdefault(name, []) names.append([expr]) self.num_reads[-1][name] = 0 def handle_refine(self, expr: NameExpr) -> None: """Store assignment to an existing name (that replaces previous value, if any).""" name = expr.name if name in self.refs[-1]: names = self.refs[-1][name] if not names: names.append([]) names[-1].append(expr) def handle_ref(self, expr: NameExpr) -> None: """Store reference to defined name.""" name = expr.name if name in self.refs[-1]: names = self.refs[-1][name] if not names: names.append([]) names[-1].append(expr) num_reads = self.num_reads[-1] num_reads[name] = num_reads.get(name, 0) + 1 def flush_refs(self) -> None: """Rename all references within the current scope. This will be called at the end of a scope. """ is_func = self.scope_kinds[-1] == FUNCTION for refs in self.refs[-1].values(): if len(refs) == 1: # Only one definition -- no renaming needed. continue if is_func: # In a function, don't rename the first definition, as it # may be an argument that must preserve the name. to_rename = refs[1:] else: # At module top level, don't rename the final definition, # as it will be publicly visible outside the module. to_rename = refs[:-1] for i, item in enumerate(to_rename): rename_refs(item, i) self.refs.pop() # Helpers for determining which assignments define new variables def clear(self) -> None: self.blocks = [] self.var_blocks = [] @contextmanager def enter_block(self) -> Iterator[None]: self.block_id += 1 self.blocks.append(self.block_id) self.block_loop_depth[self.block_id] = self.loop_depth try: yield finally: self.blocks.pop() @contextmanager def enter_try(self) -> Iterator[None]: self.disallow_redef_depth += 1 try: yield finally: self.disallow_redef_depth -= 1 @contextmanager def enter_loop(self) -> Iterator[None]: self.loop_depth += 1 try: yield finally: self.loop_depth -= 1 def current_block(self) -> int: return self.blocks[-1] @contextmanager def enter_scope(self, kind: int) -> Iterator[None]: self.var_blocks.append({}) self.refs.append({}) self.num_reads.append({}) self.scope_kinds.append(kind) try: yield finally: self.flush_refs() self.var_blocks.pop() self.num_reads.pop() self.scope_kinds.pop() def is_nested(self) -> int: return len(self.var_blocks) > 1 def reject_redefinition_of_vars_in_scope(self) -> None: """Make it impossible to redefine defined variables in the current scope. This is used if we encounter a function definition that can make it ambiguous which definition is live. Example: x = 0 def f() -> int: return x x = '' # Error -- cannot redefine x across function definition """ var_blocks = self.var_blocks[-1] for key in var_blocks: var_blocks[key] = -1 def reject_redefinition_of_vars_in_loop(self) -> None: """Reject redefinition of variables in the innermost loop. If there is an early exit from a loop, there may be ambiguity about which value may escape the loop. Example where this matters: while f(): x = 0 if g(): break x = '' # Error -- not a redefinition reveal_type(x) # int This method ensures that the second assignment to 'x' doesn't introduce a new variable. """ var_blocks = self.var_blocks[-1] for key, block in var_blocks.items(): if self.block_loop_depth.get(block) == self.loop_depth: var_blocks[key] = -1 def record_assignment(self, name: str, can_be_redefined: bool) -> bool: """Record assignment to given name and return True if it defines a new variable. Args: can_be_redefined: If True, allows assignment in the same block to redefine this name (if this is a new definition) """ if self.num_reads[-1].get(name, -1) == 0: # Only set, not read, so no reason to redefine return False if self.disallow_redef_depth > 0: # Can't redefine within try/with a block. can_be_redefined = False block = self.current_block() var_blocks = self.var_blocks[-1] if name not in var_blocks: # New definition in this scope. if can_be_redefined: # Store the block where this was defined to allow redefinition in # the same block only. var_blocks[name] = block else: # This doesn't support arbitrary redefinition. var_blocks[name] = -1 return True elif var_blocks[name] == block: # Redefinition -- defines a new variable with the same name. return True else: # Assigns to an existing variable. return False class LimitedVariableRenameVisitor(TraverserVisitor): """Perform some limited variable renaming in with statements. This allows reusing a variable in multiple with statements with different types. For example, the two instances of 'x' can have incompatible types: with C() as x: f(x) with D() as x: g(x) The above code gets renamed conceptually into this (not valid Python!): with C() as x': f(x') with D() as x: g(x) If there's a reference to a variable defined in 'with' outside the statement, or if there's any trickiness around variable visibility (e.g. function definitions), we give up and won't perform renaming. The main use case is to allow binding both readable and writable binary files into the same variable. These have different types: with open(fnam, 'rb') as f: ... with open(fnam, 'wb') as f: ... """ def __init__(self) -> None: # Short names of variables bound in with statements using "as" # in a surrounding scope self.bound_vars: list[str] = [] # Stack of names that can't be safely renamed, per scope ('*' means that # no names can be renamed) self.skipped: list[set[str]] = [] # References to variables that we may need to rename. Stack of # scopes; each scope is a mapping from name to list of collections # of names that refer to the same logical variable. self.refs: list[dict[str, list[list[NameExpr]]]] = [] def visit_mypy_file(self, file_node: MypyFile) -> None: """Rename variables within a file. This is the main entry point to this class. """ with self.enter_scope(): for d in file_node.defs: d.accept(self) def visit_func_def(self, fdef: FuncDef) -> None: self.reject_redefinition_of_vars_in_scope() with self.enter_scope(): for arg in fdef.arguments: self.record_skipped(arg.variable.name) super().visit_func_def(fdef) def visit_class_def(self, cdef: ClassDef) -> None: self.reject_redefinition_of_vars_in_scope() with self.enter_scope(): super().visit_class_def(cdef) def visit_with_stmt(self, stmt: WithStmt) -> None: for expr in stmt.expr: expr.accept(self) old_len = len(self.bound_vars) for target in stmt.target: if target is not None: self.analyze_lvalue(target) for target in stmt.target: if target: target.accept(self) stmt.body.accept(self) while len(self.bound_vars) > old_len: self.bound_vars.pop() def analyze_lvalue(self, lvalue: Lvalue) -> None: if isinstance(lvalue, NameExpr): name = lvalue.name if name in self.bound_vars: # Name bound in a surrounding with statement, so it can be renamed self.visit_name_expr(lvalue) else: var_info = self.refs[-1] if name not in var_info: var_info[name] = [] var_info[name].append([]) self.bound_vars.append(name) elif isinstance(lvalue, (ListExpr, TupleExpr)): for item in lvalue.items: self.analyze_lvalue(item) elif isinstance(lvalue, MemberExpr): lvalue.expr.accept(self) elif isinstance(lvalue, IndexExpr): lvalue.base.accept(self) lvalue.index.accept(self) elif isinstance(lvalue, StarExpr): self.analyze_lvalue(lvalue.expr) def visit_import(self, imp: Import) -> None: # We don't support renaming imports for id, as_id in imp.ids: self.record_skipped(as_id or id) def visit_import_from(self, imp: ImportFrom) -> None: # We don't support renaming imports for id, as_id in imp.names: self.record_skipped(as_id or id) def visit_import_all(self, imp: ImportAll) -> None: # Give up, since we don't know all imported names yet self.reject_redefinition_of_vars_in_scope() def visit_name_expr(self, expr: NameExpr) -> None: name = expr.name if name in self.bound_vars: # Record reference so that it can be renamed later for scope in reversed(self.refs): if name in scope: scope[name][-1].append(expr) else: self.record_skipped(name) @contextmanager def enter_scope(self) -> Iterator[None]: self.skipped.append(set()) self.refs.append({}) yield None self.flush_refs() def reject_redefinition_of_vars_in_scope(self) -> None: self.record_skipped("*") def record_skipped(self, name: str) -> None: self.skipped[-1].add(name) def flush_refs(self) -> None: ref_dict = self.refs.pop() skipped = self.skipped.pop() if "*" not in skipped: for name, refs in ref_dict.items(): if len(refs) <= 1 or name in skipped: continue # At module top level we must not rename the final definition, # as it may be publicly visible to_rename = refs[:-1] for i, item in enumerate(to_rename): rename_refs(item, i) def rename_refs(names: list[NameExpr], index: int) -> None: name = names[0].name new_name = name + "'" * (index + 1) for expr in names: expr.name = new_name ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/report.py0000644000175100017510000010333515112307767015147 0ustar00runnerrunner"""Classes for producing HTML reports about imprecision.""" from __future__ import annotations import collections import itertools import json import os import shutil import sys import time import tokenize from abc import ABCMeta, abstractmethod from collections.abc import Iterator from operator import attrgetter from typing import Any, Callable, Final from typing_extensions import TypeAlias as _TypeAlias from urllib.request import pathname2url from mypy import stats from mypy.defaults import REPORTER_NAMES from mypy.nodes import Expression, FuncDef, MypyFile from mypy.options import Options from mypy.traverser import TraverserVisitor from mypy.types import Type, TypeOfAny from mypy.version import __version__ try: from lxml import etree # type: ignore[import-untyped] LXML_INSTALLED = True except ImportError: LXML_INSTALLED = False type_of_any_name_map: Final[collections.OrderedDict[int, str]] = collections.OrderedDict( [ (TypeOfAny.unannotated, "Unannotated"), (TypeOfAny.explicit, "Explicit"), (TypeOfAny.from_unimported_type, "Unimported"), (TypeOfAny.from_omitted_generics, "Omitted Generics"), (TypeOfAny.from_error, "Error"), (TypeOfAny.special_form, "Special Form"), (TypeOfAny.implementation_artifact, "Implementation Artifact"), ] ) ReporterClasses: _TypeAlias = dict[ str, tuple[Callable[["Reports", str], "AbstractReporter"], bool] ] reporter_classes: Final[ReporterClasses] = {} class Reports: def __init__(self, data_dir: str, report_dirs: dict[str, str]) -> None: self.data_dir = data_dir self.reporters: list[AbstractReporter] = [] self.named_reporters: dict[str, AbstractReporter] = {} for report_type, report_dir in sorted(report_dirs.items()): self.add_report(report_type, report_dir) def add_report(self, report_type: str, report_dir: str) -> AbstractReporter: try: return self.named_reporters[report_type] except KeyError: pass reporter_cls, needs_lxml = reporter_classes[report_type] if needs_lxml and not LXML_INSTALLED: print( ( "You must install the lxml package before you can run mypy" " with `--{}-report`.\n" "You can do this with `python3 -m pip install lxml`." ).format(report_type), file=sys.stderr, ) raise ImportError reporter = reporter_cls(self, report_dir) self.reporters.append(reporter) self.named_reporters[report_type] = reporter return reporter def file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: for reporter in self.reporters: reporter.on_file(tree, modules, type_map, options) def finish(self) -> None: for reporter in self.reporters: reporter.on_finish() class AbstractReporter(metaclass=ABCMeta): def __init__(self, reports: Reports, output_dir: str) -> None: self.output_dir = output_dir if output_dir != "": os.makedirs(output_dir, exist_ok=True) @abstractmethod def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: pass @abstractmethod def on_finish(self) -> None: pass def register_reporter( report_name: str, reporter: Callable[[Reports, str], AbstractReporter], needs_lxml: bool = False, ) -> None: reporter_classes[report_name] = (reporter, needs_lxml) def alias_reporter(source_reporter: str, target_reporter: str) -> None: reporter_classes[target_reporter] = reporter_classes[source_reporter] def should_skip_path(path: str) -> bool: if stats.is_special_module(path): return True if path.startswith(".."): return True if "stubs" in path.split("/") or "stubs" in path.split(os.sep): return True return False def iterate_python_lines(path: str) -> Iterator[tuple[int, str]]: """Return an iterator over (line number, line text) from a Python file.""" if not os.path.isdir(path): # can happen with namespace packages with tokenize.open(path) as input_file: yield from enumerate(input_file, 1) class FuncCounterVisitor(TraverserVisitor): def __init__(self) -> None: super().__init__() self.counts = [0, 0] def visit_func_def(self, defn: FuncDef) -> None: self.counts[defn.type is not None] += 1 class LineCountReporter(AbstractReporter): def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) self.counts: dict[str, tuple[int, int, int, int]] = {} def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: # Count physical lines. This assumes the file's encoding is a # superset of ASCII (or at least uses \n in its line endings). if not os.path.isdir(tree.path): # can happen with namespace packages with open(tree.path, "rb") as f: physical_lines = len(f.readlines()) else: physical_lines = 0 func_counter = FuncCounterVisitor() tree.accept(func_counter) unannotated_funcs, annotated_funcs = func_counter.counts total_funcs = annotated_funcs + unannotated_funcs # Don't count lines or functions as annotated if they have their errors ignored. if options.ignore_errors: annotated_funcs = 0 imputed_annotated_lines = ( physical_lines * annotated_funcs // total_funcs if total_funcs else physical_lines ) self.counts[tree._fullname] = ( imputed_annotated_lines, physical_lines, annotated_funcs, total_funcs, ) def on_finish(self) -> None: counts: list[tuple[tuple[int, int, int, int], str]] = sorted( ((c, p) for p, c in self.counts.items()), reverse=True ) total_counts = tuple(sum(c[i] for c, p in counts) for i in range(4)) with open(os.path.join(self.output_dir, "linecount.txt"), "w") as f: f.write("{:7} {:7} {:6} {:6} total\n".format(*total_counts)) for c, p in counts: f.write(f"{c[0]:7} {c[1]:7} {c[2]:6} {c[3]:6} {p}\n") register_reporter("linecount", LineCountReporter) class AnyExpressionsReporter(AbstractReporter): """Report frequencies of different kinds of Any types.""" def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) self.counts: dict[str, tuple[int, int]] = {} self.any_types_counter: dict[str, collections.Counter[int]] = {} def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: visitor = stats.StatisticsVisitor( inferred=True, filename=tree.fullname, modules=modules, typemap=type_map, all_nodes=True, visit_untyped_defs=False, ) tree.accept(visitor) self.any_types_counter[tree.fullname] = visitor.type_of_any_counter num_unanalyzed_lines = list(visitor.line_map.values()).count(stats.TYPE_UNANALYZED) # count each line of dead code as one expression of type "Any" num_any = visitor.num_any_exprs + num_unanalyzed_lines num_total = visitor.num_imprecise_exprs + visitor.num_precise_exprs + num_any if num_total > 0: self.counts[tree.fullname] = (num_any, num_total) def on_finish(self) -> None: self._report_any_exprs() self._report_types_of_anys() def _write_out_report( self, filename: str, header: list[str], rows: list[list[str]], footer: list[str] ) -> None: row_len = len(header) assert all(len(row) == row_len for row in rows + [header, footer]) min_column_distance = 3 # minimum distance between numbers in two columns widths = [-1] * row_len for row in rows + [header, footer]: for i, value in enumerate(row): widths[i] = max(widths[i], len(value)) for i, w in enumerate(widths): # Do not add min_column_distance to the first column. if i > 0: widths[i] = w + min_column_distance with open(os.path.join(self.output_dir, filename), "w") as f: header_str = ("{:>{}}" * len(widths)).format(*itertools.chain(*zip(header, widths))) separator = "-" * len(header_str) f.write(header_str + "\n") f.write(separator + "\n") for row_values in rows: r = ("{:>{}}" * len(widths)).format(*itertools.chain(*zip(row_values, widths))) f.write(r + "\n") f.write(separator + "\n") footer_str = ("{:>{}}" * len(widths)).format(*itertools.chain(*zip(footer, widths))) f.write(footer_str + "\n") def _report_any_exprs(self) -> None: total_any = sum(num_any for num_any, _ in self.counts.values()) total_expr = sum(total for _, total in self.counts.values()) total_coverage = 100.0 if total_expr > 0: total_coverage = (float(total_expr - total_any) / float(total_expr)) * 100 column_names = ["Name", "Anys", "Exprs", "Coverage"] rows: list[list[str]] = [] for filename in sorted(self.counts): (num_any, num_total) = self.counts[filename] coverage = (float(num_total - num_any) / float(num_total)) * 100 coverage_str = f"{coverage:.2f}%" rows.append([filename, str(num_any), str(num_total), coverage_str]) rows.sort(key=lambda x: x[0]) total_row = ["Total", str(total_any), str(total_expr), f"{total_coverage:.2f}%"] self._write_out_report("any-exprs.txt", column_names, rows, total_row) def _report_types_of_anys(self) -> None: total_counter: collections.Counter[int] = collections.Counter() for counter in self.any_types_counter.values(): for any_type, value in counter.items(): total_counter[any_type] += value file_column_name = "Name" total_row_name = "Total" column_names = [file_column_name] + list(type_of_any_name_map.values()) rows: list[list[str]] = [] for filename, counter in self.any_types_counter.items(): rows.append([filename] + [str(counter[typ]) for typ in type_of_any_name_map]) rows.sort(key=lambda x: x[0]) total_row = [total_row_name] + [str(total_counter[typ]) for typ in type_of_any_name_map] self._write_out_report("types-of-anys.txt", column_names, rows, total_row) register_reporter("any-exprs", AnyExpressionsReporter) class LineCoverageVisitor(TraverserVisitor): def __init__(self, source: list[str]) -> None: self.source = source # For each line of source, we maintain a pair of # * the indentation level of the surrounding function # (-1 if not inside a function), and # * whether the surrounding function is typed. # Initially, everything is covered at indentation level -1. self.lines_covered = [(-1, True) for l in source] # The Python AST has position information for the starts of # elements, but not for their ends. Fortunately the # indentation-based syntax makes it pretty easy to find where a # block ends without doing any real parsing. # TODO: Handle line continuations (explicit and implicit) and # multi-line string literals. (But at least line continuations # are normally more indented than their surrounding block anyways, # by PEP 8.) def indentation_level(self, line_number: int) -> int | None: """Return the indentation of a line of the source (specified by zero-indexed line number). Returns None for blank lines or comments.""" line = self.source[line_number] indent = 0 for char in list(line): if char == " ": indent += 1 elif char == "\t": indent = 8 * ((indent + 8) // 8) elif char == "#": # Line is a comment; ignore it return None elif char == "\n": # Line is entirely whitespace; ignore it return None # TODO line continuation (\) else: # Found a non-whitespace character return indent # Line is entirely whitespace, and at end of file # with no trailing newline; ignore it return None def visit_func_def(self, defn: FuncDef) -> None: start_line = defn.line - 1 start_indent = None # When a function is decorated, sometimes the start line will point to # whitespace or comments between the decorator and the function, so # we have to look for the start. while start_line < len(self.source): start_indent = self.indentation_level(start_line) if start_indent is not None: break start_line += 1 # If we can't find the function give up and don't annotate anything. # Our line numbers are not reliable enough to be asserting on. if start_indent is None: return cur_line = start_line + 1 end_line = cur_line # After this loop, function body will be lines [start_line, end_line) while cur_line < len(self.source): cur_indent = self.indentation_level(cur_line) if cur_indent is None: # Consume the line, but don't mark it as belonging to the function yet. cur_line += 1 elif cur_indent > start_indent: # A non-blank line that belongs to the function. cur_line += 1 end_line = cur_line else: # We reached a line outside the function definition. break is_typed = defn.type is not None for line in range(start_line, end_line): old_indent, _ = self.lines_covered[line] # If there was an old indent level for this line, and the new # level isn't increasing the indentation, ignore it. # This is to be defensive against funniness in our line numbers, # which are not always reliable. if old_indent <= start_indent: self.lines_covered[line] = (start_indent, is_typed) # Visit the body, in case there are nested functions super().visit_func_def(defn) class LineCoverageReporter(AbstractReporter): """Exact line coverage reporter. This reporter writes a JSON dictionary with one field 'lines' to the file 'coverage.json' in the specified report directory. The value of that field is a dictionary which associates to each source file's absolute pathname the list of line numbers that belong to typed functions in that file. """ def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) self.lines_covered: dict[str, list[int]] = {} def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: if os.path.isdir(tree.path): # can happen with namespace packages return with open(tree.path) as f: tree_source = f.readlines() coverage_visitor = LineCoverageVisitor(tree_source) tree.accept(coverage_visitor) covered_lines = [] for line_number, (_, typed) in enumerate(coverage_visitor.lines_covered): if typed: covered_lines.append(line_number + 1) self.lines_covered[os.path.abspath(tree.path)] = covered_lines def on_finish(self) -> None: with open(os.path.join(self.output_dir, "coverage.json"), "w") as f: json.dump({"lines": self.lines_covered}, f) register_reporter("linecoverage", LineCoverageReporter) class FileInfo: def __init__(self, name: str, module: str) -> None: self.name = name self.module = module self.counts = [0] * len(stats.precision_names) def total(self) -> int: return sum(self.counts) def attrib(self) -> dict[str, str]: return {name: str(val) for name, val in sorted(zip(stats.precision_names, self.counts))} class MemoryXmlReporter(AbstractReporter): """Internal reporter that generates XML in memory. This is used by all other XML-based reporters to avoid duplication. """ def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) self.xslt_html_path = os.path.join(reports.data_dir, "xml", "mypy-html.xslt") self.xslt_txt_path = os.path.join(reports.data_dir, "xml", "mypy-txt.xslt") self.css_html_path = os.path.join(reports.data_dir, "xml", "mypy-html.css") xsd_path = os.path.join(reports.data_dir, "xml", "mypy.xsd") self.schema = etree.XMLSchema(etree.parse(xsd_path)) self.last_xml: Any | None = None self.files: list[FileInfo] = [] # XML doesn't like control characters, but they are sometimes # legal in source code (e.g. comments, string literals). # Tabs (#x09) are allowed in XML content. control_fixer: Final = str.maketrans("".join(chr(i) for i in range(32) if i != 9), "?" * 31) def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: self.last_xml = None try: path = os.path.relpath(tree.path) except ValueError: return if should_skip_path(path) or os.path.isdir(path): return # `path` can sometimes be a directory, see #11334 visitor = stats.StatisticsVisitor( inferred=True, filename=tree.fullname, modules=modules, typemap=type_map, all_nodes=True, ) tree.accept(visitor) root = etree.Element("mypy-report-file", name=path, module=tree._fullname) doc = etree.ElementTree(root) file_info = FileInfo(path, tree._fullname) for lineno, line_text in iterate_python_lines(path): status = visitor.line_map.get(lineno, stats.TYPE_EMPTY) file_info.counts[status] += 1 etree.SubElement( root, "line", any_info=self._get_any_info_for_line(visitor, lineno), content=line_text.rstrip("\n").translate(self.control_fixer), number=str(lineno), precision=stats.precision_names[status], ) # Assumes a layout similar to what XmlReporter uses. xslt_path = os.path.relpath("mypy-html.xslt", path) transform_pi = etree.ProcessingInstruction( "xml-stylesheet", f'type="text/xsl" href="{pathname2url(xslt_path)}"' ) root.addprevious(transform_pi) self.schema.assertValid(doc) self.last_xml = doc self.files.append(file_info) @staticmethod def _get_any_info_for_line(visitor: stats.StatisticsVisitor, lineno: int) -> str: if lineno in visitor.any_line_map: result = "Any Types on this line: " counter: collections.Counter[int] = collections.Counter() for typ in visitor.any_line_map[lineno]: counter[typ.type_of_any] += 1 for any_type, occurrences in counter.items(): result += f"\n{type_of_any_name_map[any_type]} (x{occurrences})" return result else: return "No Anys on this line!" def on_finish(self) -> None: self.last_xml = None # index_path = os.path.join(self.output_dir, 'index.xml') output_files = sorted(self.files, key=lambda x: x.module) root = etree.Element("mypy-report-index", name="index") doc = etree.ElementTree(root) for file_info in output_files: etree.SubElement( root, "file", file_info.attrib(), module=file_info.module, name=pathname2url(file_info.name), total=str(file_info.total()), ) xslt_path = os.path.relpath("mypy-html.xslt", ".") transform_pi = etree.ProcessingInstruction( "xml-stylesheet", f'type="text/xsl" href="{pathname2url(xslt_path)}"' ) root.addprevious(transform_pi) self.schema.assertValid(doc) self.last_xml = doc register_reporter("memory-xml", MemoryXmlReporter, needs_lxml=True) def get_line_rate(covered_lines: int, total_lines: int) -> str: if total_lines == 0: return str(1.0) else: return f"{covered_lines / total_lines:.4f}" class CoberturaPackage: """Container for XML and statistics mapping python modules to Cobertura package.""" def __init__(self, name: str) -> None: self.name = name self.classes: dict[str, Any] = {} self.packages: dict[str, CoberturaPackage] = {} self.total_lines = 0 self.covered_lines = 0 def as_xml(self) -> Any: package_element = etree.Element("package", complexity="1.0", name=self.name) package_element.attrib["branch-rate"] = "0" package_element.attrib["line-rate"] = get_line_rate(self.covered_lines, self.total_lines) classes_element = etree.SubElement(package_element, "classes") for class_name in sorted(self.classes): classes_element.append(self.classes[class_name]) self.add_packages(package_element) return package_element def add_packages(self, parent_element: Any) -> None: if self.packages: packages_element = etree.SubElement(parent_element, "packages") for package in sorted(self.packages.values(), key=attrgetter("name")): packages_element.append(package.as_xml()) class CoberturaXmlReporter(AbstractReporter): """Reporter for generating Cobertura compliant XML.""" def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) self.root = etree.Element("coverage", timestamp=str(int(time.time())), version=__version__) self.doc = etree.ElementTree(self.root) self.root_package = CoberturaPackage(".") def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: path = os.path.relpath(tree.path) visitor = stats.StatisticsVisitor( inferred=True, filename=tree.fullname, modules=modules, typemap=type_map, all_nodes=True, ) tree.accept(visitor) class_name = os.path.basename(path) file_info = FileInfo(path, tree._fullname) class_element = etree.Element("class", complexity="1.0", filename=path, name=class_name) etree.SubElement(class_element, "methods") lines_element = etree.SubElement(class_element, "lines") class_lines_covered = 0 class_total_lines = 0 for lineno, _ in iterate_python_lines(path): status = visitor.line_map.get(lineno, stats.TYPE_EMPTY) hits = 0 branch = False if status == stats.TYPE_EMPTY: continue class_total_lines += 1 if status != stats.TYPE_ANY: class_lines_covered += 1 hits = 1 if status == stats.TYPE_IMPRECISE: branch = True file_info.counts[status] += 1 line_element = etree.SubElement( lines_element, "line", branch=str(branch).lower(), hits=str(hits), number=str(lineno), precision=stats.precision_names[status], ) if branch: line_element.attrib["condition-coverage"] = "50% (1/2)" class_element.attrib["branch-rate"] = "0" class_element.attrib["line-rate"] = get_line_rate(class_lines_covered, class_total_lines) # parent_module is set to whichever module contains this file. For most files, we want # to simply strip the last element off of the module. But for __init__.py files, # the module == the parent module. parent_module = file_info.module.rsplit(".", 1)[0] if file_info.name.endswith("__init__.py"): parent_module = file_info.module if parent_module not in self.root_package.packages: self.root_package.packages[parent_module] = CoberturaPackage(parent_module) current_package = self.root_package.packages[parent_module] packages_to_update = [self.root_package, current_package] for package in packages_to_update: package.total_lines += class_total_lines package.covered_lines += class_lines_covered current_package.classes[class_name] = class_element def on_finish(self) -> None: self.root.attrib["line-rate"] = get_line_rate( self.root_package.covered_lines, self.root_package.total_lines ) self.root.attrib["branch-rate"] = "0" self.root.attrib["lines-covered"] = str(self.root_package.covered_lines) self.root.attrib["lines-valid"] = str(self.root_package.total_lines) sources = etree.SubElement(self.root, "sources") source_element = etree.SubElement(sources, "source") source_element.text = os.getcwd() self.root_package.add_packages(self.root) out_path = os.path.join(self.output_dir, "cobertura.xml") self.doc.write(out_path, encoding="utf-8", pretty_print=True) print("Generated Cobertura report:", os.path.abspath(out_path)) register_reporter("cobertura-xml", CoberturaXmlReporter, needs_lxml=True) class AbstractXmlReporter(AbstractReporter): """Internal abstract class for reporters that work via XML.""" def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) memory_reporter = reports.add_report("memory-xml", "") assert isinstance(memory_reporter, MemoryXmlReporter) # The dependency will be called first. self.memory_xml = memory_reporter class XmlReporter(AbstractXmlReporter): """Public reporter that exports XML. The produced XML files contain a reference to the absolute path of the html transform, so they will be locally viewable in a browser. However, there is a bug in Chrome and all other WebKit-based browsers that makes it fail from file:// URLs but work on http:// URLs. """ def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: last_xml = self.memory_xml.last_xml if last_xml is None: return path = os.path.relpath(tree.path) if path.startswith(".."): return out_path = os.path.join(self.output_dir, "xml", path + ".xml") os.makedirs(os.path.dirname(out_path), exist_ok=True) last_xml.write(out_path, encoding="utf-8") def on_finish(self) -> None: last_xml = self.memory_xml.last_xml assert last_xml is not None out_path = os.path.join(self.output_dir, "index.xml") out_xslt = os.path.join(self.output_dir, "mypy-html.xslt") out_css = os.path.join(self.output_dir, "mypy-html.css") last_xml.write(out_path, encoding="utf-8") shutil.copyfile(self.memory_xml.xslt_html_path, out_xslt) shutil.copyfile(self.memory_xml.css_html_path, out_css) print("Generated XML report:", os.path.abspath(out_path)) register_reporter("xml", XmlReporter, needs_lxml=True) class XsltHtmlReporter(AbstractXmlReporter): """Public reporter that exports HTML via XSLT. This is slightly different than running `xsltproc` on the .xml files, because it passes a parameter to rewrite the links. """ def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) self.xslt_html = etree.XSLT(etree.parse(self.memory_xml.xslt_html_path)) self.param_html = etree.XSLT.strparam("html") def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: last_xml = self.memory_xml.last_xml if last_xml is None: return path = os.path.relpath(tree.path) if path.startswith(".."): return out_path = os.path.join(self.output_dir, "html", path + ".html") os.makedirs(os.path.dirname(out_path), exist_ok=True) transformed_html = bytes(self.xslt_html(last_xml, ext=self.param_html)) with open(out_path, "wb") as out_file: out_file.write(transformed_html) def on_finish(self) -> None: last_xml = self.memory_xml.last_xml assert last_xml is not None out_path = os.path.join(self.output_dir, "index.html") out_css = os.path.join(self.output_dir, "mypy-html.css") transformed_html = bytes(self.xslt_html(last_xml, ext=self.param_html)) with open(out_path, "wb") as out_file: out_file.write(transformed_html) shutil.copyfile(self.memory_xml.css_html_path, out_css) print("Generated HTML report (via XSLT):", os.path.abspath(out_path)) register_reporter("xslt-html", XsltHtmlReporter, needs_lxml=True) class XsltTxtReporter(AbstractXmlReporter): """Public reporter that exports TXT via XSLT. Currently this only does the summary, not the individual reports. """ def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) self.xslt_txt = etree.XSLT(etree.parse(self.memory_xml.xslt_txt_path)) def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: pass def on_finish(self) -> None: last_xml = self.memory_xml.last_xml assert last_xml is not None out_path = os.path.join(self.output_dir, "index.txt") transformed_txt = bytes(self.xslt_txt(last_xml)) with open(out_path, "wb") as out_file: out_file.write(transformed_txt) print("Generated TXT report (via XSLT):", os.path.abspath(out_path)) register_reporter("xslt-txt", XsltTxtReporter, needs_lxml=True) alias_reporter("xslt-html", "html") alias_reporter("xslt-txt", "txt") class LinePrecisionReporter(AbstractReporter): """Report per-module line counts for typing precision. Each line is classified into one of these categories: * precise (fully type checked) * imprecise (Any types in a type component, such as List[Any]) * any (something with an Any type, implicit or explicit) * empty (empty line, comment or docstring) * unanalyzed (mypy considers line unreachable) The meaning of these categories varies slightly depending on context. """ def __init__(self, reports: Reports, output_dir: str) -> None: super().__init__(reports, output_dir) self.files: list[FileInfo] = [] def on_file( self, tree: MypyFile, modules: dict[str, MypyFile], type_map: dict[Expression, Type], options: Options, ) -> None: try: path = os.path.relpath(tree.path) except ValueError: return if should_skip_path(path): return visitor = stats.StatisticsVisitor( inferred=True, filename=tree.fullname, modules=modules, typemap=type_map, all_nodes=True, ) tree.accept(visitor) file_info = FileInfo(path, tree._fullname) for lineno, _ in iterate_python_lines(path): status = visitor.line_map.get(lineno, stats.TYPE_EMPTY) file_info.counts[status] += 1 self.files.append(file_info) def on_finish(self) -> None: if not self.files: # Nothing to do. return output_files = sorted(self.files, key=lambda x: x.module) report_file = os.path.join(self.output_dir, "lineprecision.txt") width = max(4, max(len(info.module) for info in output_files)) titles = ("Lines", "Precise", "Imprecise", "Any", "Empty", "Unanalyzed") widths = (width,) + tuple(len(t) for t in titles) fmt = "{:%d} {:%d} {:%d} {:%d} {:%d} {:%d} {:%d}\n" % widths with open(report_file, "w") as f: f.write(fmt.format("Name", *titles)) f.write("-" * (width + 51) + "\n") for file_info in output_files: counts = file_info.counts f.write( fmt.format( file_info.module.ljust(width), file_info.total(), counts[stats.TYPE_PRECISE], counts[stats.TYPE_IMPRECISE], counts[stats.TYPE_ANY], counts[stats.TYPE_EMPTY], counts[stats.TYPE_UNANALYZED], ) ) register_reporter("lineprecision", LinePrecisionReporter) # Reporter class names are defined twice to speed up mypy startup, as this # module is slow to import. Ensure that the two definitions match. assert set(reporter_classes) == set(REPORTER_NAMES) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/scope.py0000644000175100017510000001026615112307767014745 0ustar00runnerrunner"""Track current scope to easily calculate the corresponding fine-grained target. TODO: Use everywhere where we track targets, including in mypy.errors. """ from __future__ import annotations from collections.abc import Iterator from contextlib import contextmanager, nullcontext from typing import Optional from typing_extensions import TypeAlias as _TypeAlias from mypy.nodes import FuncBase, TypeInfo SavedScope: _TypeAlias = tuple[str, Optional[TypeInfo], Optional[FuncBase]] class Scope: """Track which target we are processing at any given time.""" def __init__(self) -> None: self.module: str | None = None self.classes: list[TypeInfo] = [] self.function: FuncBase | None = None self.functions: list[FuncBase] = [] # Number of nested scopes ignored (that don't get their own separate targets) self.ignored = 0 def current_module_id(self) -> str: assert self.module return self.module def current_target(self) -> str: """Return the current target (non-class; for a class return enclosing module).""" assert self.module if self.function: fullname = self.function.fullname return fullname or "" return self.module def current_full_target(self) -> str: """Return the current target (may be a class).""" assert self.module if self.function: return self.function.fullname if self.classes: return self.classes[-1].fullname return self.module def current_type_name(self) -> str | None: """Return the current type's short name if it exists""" return self.classes[-1].name if self.classes else None def current_function_name(self) -> str | None: """Return the current function's short name if it exists""" return self.function.name if self.function else None @contextmanager def module_scope(self, prefix: str) -> Iterator[None]: self.module = prefix self.classes = [] self.function = None self.ignored = 0 yield assert self.module self.module = None @contextmanager def function_scope(self, fdef: FuncBase) -> Iterator[None]: self.functions.append(fdef) if not self.function: self.function = fdef else: # Nested functions are part of the topmost function target. self.ignored += 1 yield self.functions.pop() if self.ignored: # Leave a scope that's included in the enclosing target. self.ignored -= 1 else: assert self.function self.function = None def outer_functions(self) -> list[FuncBase]: return self.functions[:-1] def enter_class(self, info: TypeInfo) -> None: """Enter a class target scope.""" if not self.function: self.classes.append(info) else: # Classes within functions are part of the enclosing function target. self.ignored += 1 def leave_class(self) -> None: """Leave a class target scope.""" if self.ignored: # Leave a scope that's included in the enclosing target. self.ignored -= 1 else: assert self.classes # Leave the innermost class. self.classes.pop() @contextmanager def class_scope(self, info: TypeInfo) -> Iterator[None]: self.enter_class(info) yield self.leave_class() def save(self) -> SavedScope: """Produce a saved scope that can be entered with saved_scope()""" assert self.module # We only save the innermost class, which is sufficient since # the rest are only needed for when classes are left. cls = self.classes[-1] if self.classes else None return self.module, cls, self.function @contextmanager def saved_scope(self, saved: SavedScope) -> Iterator[None]: module, info, function = saved with self.module_scope(module): with self.class_scope(info) if info else nullcontext(): with self.function_scope(function) if function else nullcontext(): yield ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal.py0000644000175100017510000127021015112307767015252 0ustar00runnerrunner"""The semantic analyzer. Bind names to definitions and do various other simple consistency checks. Populate symbol tables. The semantic analyzer also detects special forms which reuse generic syntax such as NamedTuple and cast(). Multiple analysis iterations may be needed to analyze forward references and import cycles. Each iteration "fills in" additional bindings and references until everything has been bound. For example, consider this program: x = 1 y = x Here semantic analysis would detect that the assignment 'x = 1' defines a new variable, the type of which is to be inferred (in a later pass; type inference or type checking is not part of semantic analysis). Also, it would bind both references to 'x' to the same module-level variable (Var) node. The second assignment would also be analyzed, and the type of 'y' marked as being inferred. Semantic analysis of types is implemented in typeanal.py. See semanal_main.py for the top-level logic. Some important properties: * After semantic analysis is complete, no PlaceholderNode and PlaceholderType instances should remain. During semantic analysis, if we encounter one of these, the current target should be deferred. * A TypeInfo is only created once we know certain basic information about a type, such as the MRO, existence of a Tuple base class (e.g., for named tuples), and whether we have a TypedDict. We use a temporary PlaceholderNode node in the symbol table if some such information is missing. * For assignments, we only add a non-placeholder symbol table entry once we know the sort of thing being defined (variable, NamedTuple, type alias, etc.). * Every part of the analysis step must support multiple iterations over the same AST nodes, and each iteration must be able to fill in arbitrary things that were missing or incomplete in previous iterations. * Changes performed by the analysis need to be reversible, since mypy daemon strips and reuses existing ASTs (to improve performance and/or reduce memory use). """ from __future__ import annotations import re from collections.abc import Collection, Iterable, Iterator from contextlib import contextmanager from typing import Any, Callable, Final, TypeVar, cast from typing_extensions import TypeAlias as _TypeAlias, TypeGuard, assert_never from mypy import errorcodes as codes, message_registry from mypy.constant_fold import constant_fold_expr from mypy.errorcodes import PROPERTY_DECORATOR, ErrorCode from mypy.errors import Errors, report_internal_error from mypy.exprtotype import TypeTranslationError, expr_to_unanalyzed_type from mypy.message_registry import ErrorMessage from mypy.messages import ( SUGGESTED_TEST_FIXTURES, TYPES_FOR_UNIMPORTED_HINTS, MessageBuilder, best_matches, pretty_seq, ) from mypy.mro import MroError, calculate_mro from mypy.nodes import ( ARG_NAMED, ARG_POS, ARG_STAR2, CONTRAVARIANT, COVARIANT, GDEF, IMPLICITLY_ABSTRACT, INVARIANT, IS_ABSTRACT, LDEF, MDEF, NOT_ABSTRACT, PARAM_SPEC_KIND, REVEAL_LOCALS, REVEAL_TYPE, RUNTIME_PROTOCOL_DECOS, SYMBOL_FUNCBASE_TYPES, TYPE_VAR_KIND, TYPE_VAR_TUPLE_KIND, VARIANCE_NOT_READY, ArgKind, AssertStmt, AssertTypeExpr, AssignmentExpr, AssignmentStmt, AwaitExpr, Block, BreakStmt, BytesExpr, CallExpr, CastExpr, ClassDef, ComparisonExpr, ComplexExpr, ConditionalExpr, Context, ContinueStmt, DataclassTransformSpec, Decorator, DelStmt, DictExpr, DictionaryComprehension, EllipsisExpr, EnumCallExpr, Expression, ExpressionStmt, FakeExpression, FloatExpr, ForStmt, FuncBase, FuncDef, FuncItem, GeneratorExpr, GlobalDecl, IfStmt, Import, ImportAll, ImportBase, ImportFrom, IndexExpr, IntExpr, LambdaExpr, ListComprehension, ListExpr, Lvalue, MatchStmt, MaybeTypeExpression, MemberExpr, MypyFile, NamedTupleExpr, NameExpr, Node, NonlocalDecl, OperatorAssignmentStmt, OpExpr, OverloadedFuncDef, OverloadPart, ParamSpecExpr, PassStmt, PlaceholderNode, PromoteExpr, RaiseStmt, RefExpr, ReturnStmt, RevealExpr, SetComprehension, SetExpr, SliceExpr, StarExpr, Statement, StrExpr, SuperExpr, SymbolNode, SymbolTable, SymbolTableNode, TempNode, TryStmt, TupleExpr, TypeAlias, TypeAliasExpr, TypeAliasStmt, TypeApplication, TypedDictExpr, TypeFormExpr, TypeInfo, TypeParam, TypeVarExpr, TypeVarLikeExpr, TypeVarTupleExpr, UnaryExpr, Var, WhileStmt, WithStmt, YieldExpr, YieldFromExpr, get_member_expr_fullname, implicit_module_attrs, is_final_node, type_aliases, type_aliases_source_versions, typing_extensions_aliases, ) from mypy.options import TYPE_FORM, Options from mypy.patterns import ( AsPattern, ClassPattern, MappingPattern, OrPattern, SequencePattern, SingletonPattern, StarredPattern, ValuePattern, ) from mypy.plugin import ( ClassDefContext, DynamicClassDefContext, Plugin, SemanticAnalyzerPluginInterface, ) from mypy.plugins import dataclasses as dataclasses_plugin from mypy.reachability import ( ALWAYS_FALSE, ALWAYS_TRUE, MYPY_FALSE, MYPY_TRUE, infer_condition_value, infer_reachability_of_if_statement, infer_reachability_of_match_statement, ) from mypy.scope import Scope from mypy.semanal_enum import EnumCallAnalyzer from mypy.semanal_namedtuple import NamedTupleAnalyzer from mypy.semanal_newtype import NewTypeAnalyzer from mypy.semanal_shared import ( ALLOW_INCOMPATIBLE_OVERRIDE, PRIORITY_FALLBACKS, SemanticAnalyzerInterface, calculate_tuple_fallback, find_dataclass_transform_spec, has_placeholder, parse_bool, require_bool_literal_argument, set_callable_name as set_callable_name, ) from mypy.semanal_typeddict import TypedDictAnalyzer from mypy.tvar_scope import TypeVarLikeScope from mypy.typeanal import ( SELF_TYPE_NAMES, FindTypeVarVisitor, TypeAnalyser, TypeVarDefaultTranslator, TypeVarLikeList, analyze_type_alias, check_for_explicit_any, detect_diverging_alias, find_self_type, fix_instance, has_any_from_unimported_type, type_constructors, validate_instance, ) from mypy.typeops import function_type, get_type_vars, try_getting_str_literals_from_type from mypy.types import ( ASSERT_TYPE_NAMES, DATACLASS_TRANSFORM_NAMES, DEPRECATED_TYPE_NAMES, DISJOINT_BASE_DECORATOR_NAMES, FINAL_DECORATOR_NAMES, FINAL_TYPE_NAMES, IMPORTED_REVEAL_TYPE_NAMES, NEVER_NAMES, OVERLOAD_NAMES, OVERRIDE_DECORATOR_NAMES, PROTOCOL_NAMES, REVEAL_TYPE_NAMES, TPDICT_NAMES, TYPE_ALIAS_NAMES, TYPE_CHECK_ONLY_NAMES, TYPE_NAMES, TYPE_VAR_LIKE_NAMES, TYPED_NAMEDTUPLE_NAMES, UNPACK_TYPE_NAMES, AnyType, CallableType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PlaceholderType, ProperType, TrivialSyntheticTypeTranslator, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnboundType, UnionType, UnpackType, flatten_nested_tuples, get_proper_type, get_proper_types, has_type_vars, is_named_instance, remove_dups, type_vars_as_args, ) from mypy.types_utils import is_invalid_recursive_alias, store_argument_type from mypy.typevars import fill_typevars from mypy.util import correct_relative_import, is_dunder, module_prefix, unmangle, unnamed_function from mypy.visitor import NodeVisitor T = TypeVar("T") # Whether to print diagnostic information for failed full parses # in SemanticAnalyzer.try_parse_as_type_expression(). # # See also: misc/analyze_typeform_stats.py DEBUG_TYPE_EXPRESSION_FULL_PARSE_FAILURES: Final = False FUTURE_IMPORTS: Final = { "__future__.nested_scopes": "nested_scopes", "__future__.generators": "generators", "__future__.division": "division", "__future__.absolute_import": "absolute_import", "__future__.with_statement": "with_statement", "__future__.print_function": "print_function", "__future__.unicode_literals": "unicode_literals", "__future__.barry_as_FLUFL": "barry_as_FLUFL", "__future__.generator_stop": "generator_stop", "__future__.annotations": "annotations", } # Special cased built-in classes that are needed for basic functionality and need to be # available very early on. CORE_BUILTIN_CLASSES: Final = ["object", "bool", "function"] # Python has several different scope/namespace kinds with subtly different semantics. SCOPE_GLOBAL: Final = 0 # Module top level SCOPE_CLASS: Final = 1 # Class body SCOPE_FUNC: Final = 2 # Function or lambda SCOPE_COMPREHENSION: Final = 3 # Comprehension or generator expression SCOPE_ANNOTATION: Final = 4 # Annotation scopes for type parameters and aliases (PEP 695) # Used for tracking incomplete references Tag: _TypeAlias = int # Matches two words separated by whitespace, where each word lacks # any symbols which have special meaning in a type expression. # # Any string literal matching this common pattern cannot be a valid # type expression and can be ignored quickly when attempting to parse a # string literal as a type expression. _MULTIPLE_WORDS_NONTYPE_RE = re.compile(r'\s*[^\s.\'"|\[]+\s+[^\s.\'"|\[]') # Matches any valid Python identifier, including identifiers with Unicode characters. # # [^\d\W] = word character that is not a digit # \w = word character # \Z = match end of string; does not allow a trailing \n, unlike $ _IDENTIFIER_RE = re.compile(r"^[^\d\W]\w*\Z", re.UNICODE) class SemanticAnalyzer( NodeVisitor[None], SemanticAnalyzerInterface, SemanticAnalyzerPluginInterface ): """Semantically analyze parsed mypy files. The analyzer binds names and does various consistency checks for an AST. Note that type checking is performed as a separate pass. """ __deletable__ = ["patches", "options", "cur_mod_node"] # Module name space modules: dict[str, MypyFile] # Global name space for current module globals: SymbolTable # Names declared using "global" (separate set for each scope) global_decls: list[set[str]] # Names declared using "nonlocal" (separate set for each scope) nonlocal_decls: list[set[str]] # Local names of function scopes; None for non-function scopes. locals: list[SymbolTable | None] # Type of each scope (SCOPE_*, indexes match locals) scope_stack: list[int] # Nested block depths of scopes block_depth: list[int] # TypeInfo of directly enclosing class (or None) _type: TypeInfo | None = None # Stack of outer classes (the second tuple item contains tvars). type_stack: list[TypeInfo | None] # Type variables bound by the current scope, be it class or function tvar_scope: TypeVarLikeScope # Per-module options options: Options # Stack of functions being analyzed function_stack: list[FuncItem] # Set to True if semantic analysis defines a name, or replaces a # placeholder definition. If some iteration makes no progress, # there can be at most one additional final iteration (see below). progress = False deferred = False # Set to true if another analysis pass is needed incomplete = False # Set to true if current module namespace is missing things # Is this the final iteration of semantic analysis (where we report # unbound names due to cyclic definitions and should not defer)? _final_iteration = False # These names couldn't be added to the symbol table due to incomplete deps. # Note that missing names are per module, _not_ per namespace. This means that e.g. # a missing name at global scope will block adding same name at a class scope. # This should not affect correctness and is purely a performance issue, # since it can cause unnecessary deferrals. These are represented as # PlaceholderNodes in the symbol table. We use this to ensure that the first # definition takes precedence even if it's incomplete. # # Note that a star import adds a special name '*' to the set, this blocks # adding _any_ names in the current file. missing_names: list[set[str]] # Callbacks that will be called after semantic analysis to tweak things. patches: list[tuple[int, Callable[[], None]]] loop_depth: list[int] # Depth of breakable loops cur_mod_id = "" # Current module id (or None) (phase 2) _is_stub_file = False # Are we analyzing a stub file? _is_typeshed_stub_file = False # Are we analyzing a typeshed stub file? imports: set[str] # Imported modules (during phase 2 analysis) # Note: some imports (and therefore dependencies) might # not be found in phase 1, for example due to * imports. errors: Errors # Keeps track of generated errors plugin: Plugin # Mypy plugin for special casing of library features statement: Statement | None = None # Statement/definition being analyzed # Mapping from 'async def' function definitions to their return type wrapped as a # 'Coroutine[Any, Any, T]'. Used to keep track of whether a function definition's # return type has already been wrapped, by checking if the function definition's # type is stored in this mapping and that it still matches. wrapped_coro_return_types: dict[FuncDef, Type] = {} def __init__( self, modules: dict[str, MypyFile], missing_modules: set[str], incomplete_namespaces: set[str], errors: Errors, plugin: Plugin, import_map: dict[str, set[str]], ) -> None: """Construct semantic analyzer. We reuse the same semantic analyzer instance across multiple modules. Args: modules: Global modules dictionary missing_modules: Modules that could not be imported encountered so far incomplete_namespaces: Namespaces that are being populated during semantic analysis (can contain modules and classes within the current SCC; mutated by the caller) errors: Report analysis errors using this instance """ self.locals = [None] self.scope_stack = [SCOPE_GLOBAL] # Saved namespaces from previous iteration. Every top-level function/method body is # analyzed in several iterations until all names are resolved. We need to save # the local namespaces for the top level function and all nested functions between # these iterations. See also semanal_main.process_top_level_function(). self.saved_locals: dict[ FuncItem | GeneratorExpr | DictionaryComprehension, SymbolTable ] = {} self.imports = set() self._type = None self.type_stack = [] # Are the namespaces of classes being processed complete? self.incomplete_type_stack: list[bool] = [] self.tvar_scope = TypeVarLikeScope() self.function_stack = [] self.block_depth = [0] self.loop_depth = [0] self.errors = errors self.modules = modules self.import_map = import_map self.msg = MessageBuilder(errors, modules) self.missing_modules = missing_modules self.missing_names = [set()] # These namespaces are still in process of being populated. If we encounter a # missing name in these namespaces, we need to defer the current analysis target, # since it's possible that the name will be there once the namespace is complete. self.incomplete_namespaces = incomplete_namespaces self.all_exports: list[str] = [] # Map from module id to list of explicitly exported names (i.e. names in __all__). self.export_map: dict[str, list[str]] = {} self.plugin = plugin # If True, process function definitions. If False, don't. This is used # for processing module top levels in fine-grained incremental mode. self.recurse_into_functions = True self.scope = Scope() # Trace line numbers for every file where deferral happened during analysis of # current SCC or top-level function. self.deferral_debug_context: list[tuple[str, int]] = [] # This is needed to properly support recursive type aliases. The problem is that # Foo[Bar] could mean three things depending on context: a target for type alias, # a normal index expression (including enum index), or a type application. # The latter is particularly problematic as it can falsely create incomplete # refs while analysing rvalues of type aliases. To avoid this we first analyse # rvalues while temporarily setting this to True. self.basic_type_applications = False # Used to temporarily enable unbound type variables in some contexts. Namely, # in base class expressions, and in right hand sides of type aliases. Do not add # new uses of this, as this may cause leaking `UnboundType`s to type checking. self.allow_unbound_tvars = False # Used to pass information about current overload index to visit_func_def(). self.current_overload_item: int | None = None # Used to track whether currently inside an except* block. This helps # to invoke errors when continue/break/return is used inside except* block. self.inside_except_star_block: bool = False # Used to track edge case when return is still inside except* if it enters a loop self.return_stmt_inside_except_star_block: bool = False self._str_type: Instance | None = None self._function_type: Instance | None = None self._object_type: Instance | None = None # TypeForm profiling counters self.type_expression_parse_count: int = 0 # Total try_parse_as_type_expression calls self.type_expression_full_parse_success_count: int = 0 # Successful full parses self.type_expression_full_parse_failure_count: int = 0 # Failed full parses # Imports of submodules transitively visible from given module. # This is needed to support patterns like this # [a.py] # import b # import foo # foo.bar # <- this should work even if bar is not re-exported in foo # [b.py] # import foo.bar self.transitive_submodule_imports: dict[str, set[str]] = {} # mypyc doesn't properly handle implementing an abstractproperty # with a regular attribute so we make them properties @property def type(self) -> TypeInfo | None: return self._type @property def is_stub_file(self) -> bool: return self._is_stub_file @property def is_typeshed_stub_file(self) -> bool: return self._is_typeshed_stub_file @property def final_iteration(self) -> bool: return self._final_iteration @contextmanager def allow_unbound_tvars_set(self) -> Iterator[None]: old = self.allow_unbound_tvars self.allow_unbound_tvars = True try: yield finally: self.allow_unbound_tvars = old @contextmanager def inside_except_star_block_set( self, value: bool, entering_loop: bool = False ) -> Iterator[None]: old = self.inside_except_star_block self.inside_except_star_block = value # Return statement would still be in except* scope if entering loops if not entering_loop: old_return_stmt_flag = self.return_stmt_inside_except_star_block self.return_stmt_inside_except_star_block = value try: yield finally: self.inside_except_star_block = old if not entering_loop: self.return_stmt_inside_except_star_block = old_return_stmt_flag # # Preparing module (performed before semantic analysis) # def prepare_file(self, file_node: MypyFile) -> None: """Prepare a freshly parsed file for semantic analysis.""" if "builtins" in self.modules: file_node.names["__builtins__"] = SymbolTableNode(GDEF, self.modules["builtins"]) if file_node.fullname == "builtins": self.prepare_builtins_namespace(file_node) if file_node.fullname == "typing": self.prepare_typing_namespace(file_node, type_aliases) if file_node.fullname == "typing_extensions": self.prepare_typing_namespace(file_node, typing_extensions_aliases) def prepare_typing_namespace(self, file_node: MypyFile, aliases: dict[str, str]) -> None: """Remove dummy alias definitions such as List = TypeAlias(object) from typing. They will be replaced with real aliases when corresponding targets are ready. """ # This is all pretty unfortunate. typeshed now has a # sys.version_info check for OrderedDict, and we shouldn't # take it out, because it is correct and a typechecker should # use that as a source of truth. But instead we rummage # through IfStmts to remove the info first. (I tried to # remove this whole machinery and ran into issues with the # builtins/typing import cycle.) def helper(defs: list[Statement]) -> None: for stmt in defs.copy(): if isinstance(stmt, IfStmt): for body in stmt.body: helper(body.body) if stmt.else_body: helper(stmt.else_body.body) if ( isinstance(stmt, AssignmentStmt) and len(stmt.lvalues) == 1 and isinstance(stmt.lvalues[0], NameExpr) ): # Assignment to a simple name, remove it if it is a dummy alias. if f"{file_node.fullname}.{stmt.lvalues[0].name}" in aliases: defs.remove(stmt) helper(file_node.defs) def prepare_builtins_namespace(self, file_node: MypyFile) -> None: """Add certain special-cased definitions to the builtins module. Some definitions are too special or fundamental to be processed normally from the AST. """ names = file_node.names # Add empty definition for core built-in classes, since they are required for basic # operation. These will be completed later on. for name in CORE_BUILTIN_CLASSES: cdef = ClassDef(name, Block([])) # Dummy ClassDef, will be replaced later info = TypeInfo(SymbolTable(), cdef, "builtins") info._fullname = f"builtins.{name}" names[name] = SymbolTableNode(GDEF, info) bool_info = names["bool"].node assert isinstance(bool_info, TypeInfo) bool_type = Instance(bool_info, []) special_var_types: list[tuple[str, Type]] = [ ("None", NoneType()), # reveal_type is a mypy-only function that gives an error with # the type of its arg. ("reveal_type", AnyType(TypeOfAny.special_form)), # reveal_locals is a mypy-only function that gives an error with the types of # locals ("reveal_locals", AnyType(TypeOfAny.special_form)), ("True", bool_type), ("False", bool_type), ("__debug__", bool_type), ] for name, typ in special_var_types: v = Var(name, typ) v._fullname = f"builtins.{name}" file_node.names[name] = SymbolTableNode(GDEF, v) # # Analyzing a target # def refresh_partial( self, node: MypyFile | FuncDef | OverloadedFuncDef, patches: list[tuple[int, Callable[[], None]]], final_iteration: bool, file_node: MypyFile, options: Options, active_type: TypeInfo | None = None, ) -> None: """Refresh a stale target in fine-grained incremental mode.""" self.patches = patches self.deferred = False self.incomplete = False self._final_iteration = final_iteration self.missing_names[-1] = set() with self.file_context(file_node, options, active_type): if isinstance(node, MypyFile): self.refresh_top_level(node) else: self.recurse_into_functions = True self.accept(node) del self.patches def refresh_top_level(self, file_node: MypyFile) -> None: """Reanalyze a stale module top-level in fine-grained incremental mode.""" if self.options.allow_redefinition_new and not self.options.local_partial_types: n = TempNode(AnyType(TypeOfAny.special_form)) n.line = 1 n.column = 0 n.end_line = 1 n.end_column = 0 self.fail("--local-partial-types must be enabled if using --allow-redefinition-new", n) self.recurse_into_functions = False self.add_implicit_module_attrs(file_node) for d in file_node.defs: self.accept(d) if file_node.fullname == "typing": self.add_builtin_aliases(file_node) if file_node.fullname == "typing_extensions": self.add_typing_extension_aliases(file_node) self.adjust_public_exports() self.export_map[self.cur_mod_id] = self.all_exports self.all_exports = [] def add_implicit_module_attrs(self, file_node: MypyFile) -> None: """Manually add implicit definitions of module '__name__' etc.""" str_type: Type | None = self.named_type_or_none("builtins.str") if str_type is None: str_type = UnboundType("builtins.str") inst: Type | None for name, t in implicit_module_attrs.items(): if name == "__doc__": typ: Type = str_type elif name == "__path__": if not file_node.is_package_init_file(): continue # Need to construct the type ourselves, to avoid issues with __builtins__.list # not being subscriptable or typing.List not getting bound inst = self.named_type_or_none("builtins.list", [str_type]) if inst is None: assert not self.final_iteration, "Cannot find builtins.list to add __path__" self.defer() return typ = inst elif name == "__annotations__": inst = self.named_type_or_none( "builtins.dict", [str_type, AnyType(TypeOfAny.special_form)] ) if inst is None: assert ( not self.final_iteration ), "Cannot find builtins.dict to add __annotations__" self.defer() return typ = inst elif name == "__spec__": if self.options.use_builtins_fixtures: inst = self.named_type_or_none("builtins.object") else: inst = self.named_type_or_none("importlib.machinery.ModuleSpec") if inst is None: if ( self.final_iteration or self.options.clone_for_module("importlib.machinery").follow_imports == "skip" ): # If we are not allowed to resolve imports from `importlib.machinery`, # ModuleSpec will not be available at any iteration. # Use the fallback earlier. # (see https://github.com/python/mypy/issues/18237) inst = self.named_type_or_none("builtins.object") assert inst is not None, "Cannot find builtins.object" else: self.defer() return if file_node.name == "__main__": # https://docs.python.org/3/reference/import.html#main-spec inst = UnionType.make_union([inst, NoneType()]) typ = inst else: assert t is not None, f"type should be specified for {name}" typ = UnboundType(t) existing = file_node.names.get(name) if existing is not None and not isinstance(existing.node, PlaceholderNode): # Already exists. continue an_type = self.anal_type(typ) if an_type: var = Var(name, an_type) var._fullname = self.qualified_name(name) var.is_ready = True self.add_symbol(name, var, dummy_context()) else: self.add_symbol( name, PlaceholderNode(self.qualified_name(name), file_node, -1), dummy_context(), ) def add_builtin_aliases(self, tree: MypyFile) -> None: """Add builtin type aliases to typing module. For historical reasons, the aliases like `List = list` are not defined in typeshed stubs for typing module. Instead we need to manually add the corresponding nodes on the fly. We explicitly mark these aliases as normalized, so that a user can write `typing.List[int]`. """ assert tree.fullname == "typing" for alias, target_name in type_aliases.items(): if ( alias in type_aliases_source_versions and type_aliases_source_versions[alias] > self.options.python_version ): # This alias is not available on this Python version. continue name = alias.split(".")[-1] if name in tree.names and not isinstance(tree.names[name].node, PlaceholderNode): continue self.create_alias(tree, target_name, alias, name) def add_typing_extension_aliases(self, tree: MypyFile) -> None: """Typing extensions module does contain some type aliases. We need to analyze them as such, because in typeshed they are just defined as `_Alias()` call. Which is not supported natively. """ assert tree.fullname == "typing_extensions" for alias, target_name in typing_extensions_aliases.items(): name = alias.split(".")[-1] if name in tree.names and isinstance(tree.names[name].node, TypeAlias): continue # Do not reset TypeAliases on the second pass. # We need to remove any node that is there at the moment. It is invalid. tree.names.pop(name, None) # Now, create a new alias. self.create_alias(tree, target_name, alias, name) def create_alias(self, tree: MypyFile, target_name: str, alias: str, name: str) -> None: tag = self.track_incomplete_refs() n = self.lookup_fully_qualified_or_none(target_name) if n: if isinstance(n.node, PlaceholderNode): self.mark_incomplete(name, tree) else: # Found built-in class target. Create alias. target = self.named_type_or_none(target_name, []) assert target is not None # Transform List to List[Any], etc. fix_instance( target, self.fail, self.note, disallow_any=False, options=self.options ) alias_node = TypeAlias( target, alias, tree.fullname, line=-1, column=-1, # there is no context no_args=True, normalized=True, ) self.add_symbol(name, alias_node, tree) elif self.found_incomplete_ref(tag): # Built-in class target may not ready yet -- defer. self.mark_incomplete(name, tree) else: # Test fixtures may be missing some builtin classes, which is okay. # Kill the placeholder if there is one. if name in tree.names: assert isinstance(tree.names[name].node, PlaceholderNode) del tree.names[name] def adjust_public_exports(self) -> None: """Adjust the module visibility of globals due to __all__.""" if "__all__" in self.globals: for name, g in self.globals.items(): # Being included in __all__ explicitly exports and makes public. if name in self.all_exports: g.module_public = True g.module_hidden = False # But when __all__ is defined, and a symbol is not included in it, # it cannot be public. else: g.module_public = False @contextmanager def file_context( self, file_node: MypyFile, options: Options, active_type: TypeInfo | None = None ) -> Iterator[None]: """Configure analyzer for analyzing targets within a file/class. Args: file_node: target file options: options specific to the file active_type: must be the surrounding class to analyze method targets """ scope = self.scope self.options = options self.errors.set_file(file_node.path, file_node.fullname, scope=scope, options=options) self.cur_mod_node = file_node self.cur_mod_id = file_node.fullname with scope.module_scope(self.cur_mod_id): self._is_stub_file = file_node.path.lower().endswith(".pyi") self._is_typeshed_stub_file = file_node.is_typeshed_file(options) self.globals = file_node.names self.tvar_scope = TypeVarLikeScope() self.named_tuple_analyzer = NamedTupleAnalyzer(options, self, self.msg) self.typed_dict_analyzer = TypedDictAnalyzer(options, self, self.msg) self.enum_call_analyzer = EnumCallAnalyzer(options, self) self.newtype_analyzer = NewTypeAnalyzer(options, self, self.msg) # Counter that keeps track of references to undefined things potentially caused by # incomplete namespaces. self.num_incomplete_refs = 0 if active_type: enclosing_fullname = active_type.fullname.rsplit(".", 1)[0] if "." in enclosing_fullname: enclosing_node = self.lookup_fully_qualified_or_none(enclosing_fullname) if enclosing_node and isinstance(enclosing_node.node, TypeInfo): self._type = enclosing_node.node self.push_type_args(active_type.defn.type_args, active_type.defn) self.incomplete_type_stack.append(False) scope.enter_class(active_type) self.enter_class(active_type.defn.info) for tvar in active_type.defn.type_vars: self.tvar_scope.bind_existing(tvar) yield if active_type: scope.leave_class() self.leave_class() self._type = None self.incomplete_type_stack.pop() self.pop_type_args(active_type.defn.type_args) del self.options # # Functions # def visit_func_def(self, defn: FuncDef) -> None: self.statement = defn # Visit default values because they may contain assignment expressions. for arg in defn.arguments: if arg.initializer: arg.initializer.accept(self) defn.is_conditional = self.block_depth[-1] > 0 # Set full names even for those definitions that aren't added # to a symbol table. For example, for overload items. defn._fullname = self.qualified_name(defn.name) # We don't add module top-level functions to symbol tables # when we analyze their bodies in the second phase on analysis, # since they were added in the first phase. Nested functions # get always added, since they aren't separate targets. if not self.recurse_into_functions or len(self.function_stack) > 0: if not defn.is_decorated and not defn.is_overload: self.add_function_to_symbol_table(defn) if not self.recurse_into_functions: return with self.scope.function_scope(defn): with self.inside_except_star_block_set(value=False): self.analyze_func_def(defn) def function_fullname(self, fullname: str) -> str: if self.current_overload_item is None: return fullname return f"{fullname}#{self.current_overload_item}" def analyze_func_def(self, defn: FuncDef) -> None: if self.push_type_args(defn.type_args, defn) is None: self.defer(defn) return self.function_stack.append(defn) if defn.type: assert isinstance(defn.type, CallableType) has_self_type = self.update_function_type_variables(defn.type, defn) else: has_self_type = False self.function_stack.pop() if self.is_class_scope(): # Method definition assert self.type is not None defn.info = self.type if defn.type is not None and defn.name in ("__init__", "__init_subclass__"): assert isinstance(defn.type, CallableType) if isinstance(get_proper_type(defn.type.ret_type), AnyType): defn.type = defn.type.copy_modified(ret_type=NoneType()) self.prepare_method_signature(defn, self.type, has_self_type) # Analyze function signature fullname = self.function_fullname(defn.fullname) with self.tvar_scope_frame(self.tvar_scope.method_frame(fullname)): if defn.type: self.check_classvar_in_signature(defn.type) assert isinstance(defn.type, CallableType) # Signature must be analyzed in the surrounding scope so that # class-level imported names and type variables are in scope. analyzer = self.type_analyzer() tag = self.track_incomplete_refs() result = analyzer.visit_callable_type(defn.type, nested=False, namespace=fullname) # Don't store not ready types (including placeholders). if self.found_incomplete_ref(tag) or has_placeholder(result): self.defer(defn) self.pop_type_args(defn.type_args) return assert isinstance(result, ProperType) if isinstance(result, CallableType): # type guards need to have a positional argument, to spec skip_self = self.is_class_scope() and not defn.is_static if result.type_guard and ARG_POS not in result.arg_kinds[skip_self:]: self.fail( "TypeGuard functions must have a positional argument", result, code=codes.VALID_TYPE, ) # in this case, we just kind of just ... remove the type guard. result = result.copy_modified(type_guard=None) if result.type_is and ARG_POS not in result.arg_kinds[skip_self:]: self.fail( '"TypeIs" functions must have a positional argument', result, code=codes.VALID_TYPE, ) result = result.copy_modified(type_is=None) result = self.remove_unpack_kwargs(defn, result) if has_self_type and self.type is not None: info = self.type if info.self_type is not None: result.variables = (info.self_type,) + result.variables defn.type = result self.add_type_alias_deps(analyzer.aliases_used) self.check_function_signature(defn) if isinstance(defn, FuncDef): assert isinstance(defn.type, CallableType) defn.type = set_callable_name(defn.type, defn) self.analyze_arg_initializers(defn) self.analyze_function_body(defn) if self.is_class_scope(): assert self.type is not None # Mark protocol methods with empty bodies as implicitly abstract. # This makes explicit protocol subclassing type-safe. if ( self.type.is_protocol and not self.is_stub_file # Bodies in stub files are always empty. and (not isinstance(self.scope.function, OverloadedFuncDef) or defn.is_property) and defn.abstract_status != IS_ABSTRACT and is_trivial_body(defn.body) ): defn.abstract_status = IMPLICITLY_ABSTRACT if ( is_trivial_body(defn.body) and not self.is_stub_file and defn.abstract_status != NOT_ABSTRACT ): defn.is_trivial_body = True if ( defn.is_coroutine and isinstance(defn.type, CallableType) and self.wrapped_coro_return_types.get(defn) != defn.type ): if defn.is_async_generator: # Async generator types are handled elsewhere pass else: # A coroutine defined as `async def foo(...) -> T: ...` # has external return type `Coroutine[Any, Any, T]`. any_type = AnyType(TypeOfAny.special_form) ret_type = self.named_type_or_none( "typing.Coroutine", [any_type, any_type, defn.type.ret_type] ) assert ret_type is not None, "Internal error: typing.Coroutine not found" defn.type = defn.type.copy_modified(ret_type=ret_type) self.wrapped_coro_return_types[defn] = defn.type self.pop_type_args(defn.type_args) def remove_unpack_kwargs(self, defn: FuncDef, typ: CallableType) -> CallableType: if not typ.arg_kinds or typ.arg_kinds[-1] is not ArgKind.ARG_STAR2: return typ last_type = typ.arg_types[-1] if not isinstance(last_type, UnpackType): return typ p_last_type = get_proper_type(last_type.type) if not isinstance(p_last_type, TypedDictType): self.fail("Unpack item in ** argument must be a TypedDict", last_type) new_arg_types = typ.arg_types[:-1] + [AnyType(TypeOfAny.from_error)] return typ.copy_modified(arg_types=new_arg_types) overlap = set(typ.arg_names) & set(p_last_type.items) # It is OK for TypedDict to have a key named 'kwargs'. overlap.discard(typ.arg_names[-1]) if overlap: overlapped = ", ".join([f'"{name}"' for name in sorted(filter(None, overlap))]) self.fail(f"Overlap between argument names and ** TypedDict items: {overlapped}", defn) new_arg_types = typ.arg_types[:-1] + [AnyType(TypeOfAny.from_error)] return typ.copy_modified(arg_types=new_arg_types) # OK, everything looks right now, mark the callable type as using unpack. new_arg_types = typ.arg_types[:-1] + [p_last_type] return typ.copy_modified(arg_types=new_arg_types, unpack_kwargs=True) def prepare_method_signature(self, func: FuncDef, info: TypeInfo, has_self_type: bool) -> None: """Check basic signature validity and tweak annotation of self/cls argument.""" # Only non-static methods are special, as well as __new__. functype = func.type if func.name == "__new__": func.is_static = True if func.has_self_or_cls_argument: if func.name in ["__init_subclass__", "__class_getitem__"]: func.is_class = True if func.arguments and isinstance(functype, CallableType): self_type = get_proper_type(functype.arg_types[0]) if isinstance(self_type, AnyType): if has_self_type: assert self.type is not None and self.type.self_type is not None leading_type: Type = self.type.self_type else: func.is_trivial_self = True leading_type = fill_typevars(info) if func.is_class or func.name == "__new__": leading_type = self.class_type(leading_type) func.type = replace_implicit_first_type(functype, leading_type) elif has_self_type and isinstance(func.unanalyzed_type, CallableType): if not isinstance(get_proper_type(func.unanalyzed_type.arg_types[0]), AnyType): if self.is_expected_self_type( self_type, func.is_class or func.name == "__new__" ): # This error is off by default, since it is explicitly allowed # by the PEP 673. self.fail( 'Redundant "Self" annotation for the first method argument', func, code=codes.REDUNDANT_SELF_TYPE, ) else: self.fail( "Method cannot have explicit self annotation and Self type", func ) elif has_self_type: self.fail("Static methods cannot use Self type", func) def is_expected_self_type(self, typ: Type, is_classmethod: bool) -> bool: """Does this (analyzed or not) type represent the expected Self type for a method?""" assert self.type is not None typ = get_proper_type(typ) if is_classmethod: if isinstance(typ, TypeType): return self.is_expected_self_type(typ.item, is_classmethod=False) if isinstance(typ, UnboundType): sym = self.lookup_qualified(typ.name, typ, suppress_errors=True) if sym is not None and sym.fullname in TYPE_NAMES and typ.args: return self.is_expected_self_type(typ.args[0], is_classmethod=False) return False if isinstance(typ, TypeVarType): return typ == self.type.self_type if isinstance(typ, UnboundType): sym = self.lookup_qualified(typ.name, typ, suppress_errors=True) return sym is not None and sym.fullname in SELF_TYPE_NAMES return False def set_original_def(self, previous: Node | None, new: FuncDef | Decorator) -> bool: """If 'new' conditionally redefine 'previous', set 'previous' as original We reject straight redefinitions of functions, as they are usually a programming error. For example: def f(): ... def f(): ... # Error: 'f' redefined """ if isinstance(new, Decorator): new = new.func if ( isinstance(previous, (FuncDef, Decorator)) and unnamed_function(new.name) and unnamed_function(previous.name) ): return True if isinstance(previous, (FuncDef, Var, Decorator)) and new.is_conditional: new.original_def = previous return True else: return False def update_function_type_variables(self, fun_type: CallableType, defn: FuncItem) -> bool: """Make any type variables in the signature of defn explicit. Update the signature of defn to contain type variable definitions if defn is generic. Return True, if the signature contains typing.Self type, or False otherwise. """ fullname = self.function_fullname(defn.fullname) with self.tvar_scope_frame(self.tvar_scope.method_frame(fullname)): a = self.type_analyzer() fun_type.variables, has_self_type = a.bind_function_type_variables(fun_type, defn) if has_self_type and self.type is not None: self.setup_self_type() if defn.type_args: bound_fullnames = {v.fullname for v in fun_type.variables} declared_fullnames = {self.qualified_name(p.name) for p in defn.type_args} extra = sorted(bound_fullnames - declared_fullnames) if extra: self.msg.type_parameters_should_be_declared( [n.split(".")[-1] for n in extra], defn ) return has_self_type def setup_self_type(self) -> None: """Setup a (shared) Self type variable for current class. We intentionally don't add it to the class symbol table, so it can be accessed only by mypy and will not cause clashes with user defined names. """ assert self.type is not None info = self.type if info.self_type is not None: if has_placeholder(info.self_type.upper_bound): # Similar to regular (user defined) type variables. self.process_placeholder( None, "Self upper bound", info, force_progress=info.self_type.upper_bound != fill_typevars(info), ) else: return info.self_type = TypeVarType( "Self", f"{info.fullname}.Self", id=TypeVarId(0), # 0 is a special value for self-types. values=[], upper_bound=fill_typevars(info), default=AnyType(TypeOfAny.from_omitted_generics), ) def visit_overloaded_func_def(self, defn: OverloadedFuncDef) -> None: self.statement = defn self.add_function_to_symbol_table(defn) if not self.recurse_into_functions: return # NB: Since _visit_overloaded_func_def will call accept on the # underlying FuncDefs, the function might get entered twice. # This is fine, though, because only the outermost function is # used to compute targets. with self.scope.function_scope(defn): self.analyze_overloaded_func_def(defn) @contextmanager def overload_item_set(self, item: int | None) -> Iterator[None]: self.current_overload_item = item try: yield finally: self.current_overload_item = None def analyze_overloaded_func_def(self, defn: OverloadedFuncDef) -> None: # OverloadedFuncDef refers to any legitimate situation where you have # more than one declaration for the same function in a row. This occurs # with a @property with a setter or a deleter, and for a classic # @overload. defn._fullname = self.qualified_name(defn.name) # TODO: avoid modifying items. defn.items = defn.unanalyzed_items.copy() first_item = defn.items[0] first_item.is_overload = True with self.overload_item_set(0): first_item.accept(self) bare_setter_type = None is_property = False if isinstance(first_item, Decorator) and first_item.func.is_property: is_property = True # This is a property. first_item.func.is_overload = True bare_setter_type = self.analyze_property_with_multi_part_definition(defn) typ = function_type(first_item.func, self.function_type()) assert isinstance(typ, CallableType) typ.definition = first_item types = [typ] else: # This is a normal overload. Find the item signatures, the # implementation (if outside a stub), and any missing @overload # decorators. types, impl, non_overload_indexes = self.analyze_overload_sigs_and_impl(defn) defn.impl = impl if non_overload_indexes: self.handle_missing_overload_decorators( defn, non_overload_indexes, some_overload_decorators=len(types) > 0 ) # If we found an implementation, remove it from the overload item list, # as it's special. if impl is not None: assert impl is defn.items[-1] defn.items = defn.items[:-1] elif not non_overload_indexes: self.handle_missing_overload_implementation(defn) if types and not any( # If some overload items are decorated with other decorators, then # the overload type will be determined during type checking. # Note: bare @property is removed in visit_decorator(). isinstance(it, Decorator) and len(it.decorators) > (1 if i > 0 or not is_property else 0) for i, it in enumerate(defn.items) ): # TODO: should we enforce decorated overloads consistency somehow? # Some existing code uses both styles: # * Put decorator only on implementation, use "effective" types in overloads # * Put decorator everywhere, use "bare" types in overloads. defn.type = Overloaded(types) defn.type.line = defn.line # In addition, we can set the getter/setter type for valid properties as some # code paths may either use the above type, or var.type etc. of the first item. if isinstance(first_item, Decorator) and bare_setter_type: first_item.var.type = types[0] first_item.var.setter_type = bare_setter_type if not defn.items: # It was not a real overload after all, but function redefinition. We've # visited the redefinition(s) already. if not defn.impl: # For really broken overloads with no items and no implementation we need to keep # at least one item to hold basic information like function name. defn.impl = defn.unanalyzed_items[-1] return # We know this is an overload def. Infer properties and perform some checks. self.process_deprecated_overload(defn) self.process_final_in_overload(defn) self.process_static_or_class_method_in_overload(defn) self.process_overload_impl(defn) def process_deprecated_overload(self, defn: OverloadedFuncDef) -> None: if defn.is_property: return if isinstance(impl := defn.impl, Decorator) and ( (deprecated := impl.func.deprecated) is not None ): defn.deprecated = deprecated for item in defn.items: if isinstance(item, Decorator): item.func.deprecated = deprecated for item in defn.items: deprecation = False if isinstance(item, Decorator): for d in item.decorators: if deprecation and refers_to_fullname(d, OVERLOAD_NAMES): self.msg.note("@overload should be placed before @deprecated", d) elif (deprecated := self.get_deprecated(d)) is not None: deprecation = True if isinstance(typ := item.func.type, CallableType): typestr = f" {typ} " else: typestr = " " item.func.deprecated = ( f"overload{typestr}of function {defn.fullname} is deprecated: " f"{deprecated}" ) @staticmethod def get_deprecated(expression: Expression) -> str | None: if ( isinstance(expression, CallExpr) and refers_to_fullname(expression.callee, DEPRECATED_TYPE_NAMES) and (len(args := expression.args) >= 1) and isinstance(deprecated := args[0], StrExpr) ): return deprecated.value return None def process_overload_impl(self, defn: OverloadedFuncDef) -> None: """Set flags for an overload implementation. Currently, this checks for a trivial body in protocols classes, where it makes the method implicitly abstract. """ if defn.impl is None: return impl = defn.impl if isinstance(defn.impl, FuncDef) else defn.impl.func if is_trivial_body(impl.body) and self.is_class_scope() and not self.is_stub_file: assert self.type is not None if self.type.is_protocol: impl.abstract_status = IMPLICITLY_ABSTRACT if impl.abstract_status != NOT_ABSTRACT: impl.is_trivial_body = True def analyze_overload_sigs_and_impl( self, defn: OverloadedFuncDef ) -> tuple[list[CallableType], OverloadPart | None, list[int]]: """Find overload signatures, the implementation, and items with missing @overload. Assume that the first was already analyzed. As a side effect: analyzes remaining items and updates 'is_overload' flags. """ types = [] non_overload_indexes = [] impl: OverloadPart | None = None for i, item in enumerate(defn.items): if i != 0: # Assume that the first item was already visited item.is_overload = True with self.overload_item_set(i if i < len(defn.items) - 1 else None): item.accept(self) # TODO: support decorated overloaded functions properly if isinstance(item, Decorator): callable = function_type(item.func, self.function_type()) assert isinstance(callable, CallableType) callable.definition = item if not any(refers_to_fullname(dec, OVERLOAD_NAMES) for dec in item.decorators): if i == len(defn.items) - 1 and not self.is_stub_file: # Last item outside a stub is impl impl = item else: # Oops it wasn't an overload after all. A clear error # will vary based on where in the list it is, record # that. non_overload_indexes.append(i) else: item.func.is_overload = True types.append(callable) if item.var.is_property: self.fail("An overload can not be a property", item) # If any item was decorated with `@override`, the whole overload # becomes an explicit override. defn.is_explicit_override |= item.func.is_explicit_override elif isinstance(item, FuncDef): if i == len(defn.items) - 1 and not self.is_stub_file: impl = item else: non_overload_indexes.append(i) return types, impl, non_overload_indexes def handle_missing_overload_decorators( self, defn: OverloadedFuncDef, non_overload_indexes: list[int], some_overload_decorators: bool, ) -> None: """Generate errors for overload items without @overload. Side effect: remote non-overload items. """ if some_overload_decorators: # Some of them were overloads, but not all. for idx in non_overload_indexes: if self.is_stub_file: self.fail( "An implementation for an overloaded function " "is not allowed in a stub file", defn.items[idx], ) else: self.fail( "The implementation for an overloaded function must come last", defn.items[idx], ) else: for idx in non_overload_indexes[1:]: self.name_already_defined(defn.name, defn.items[idx], defn.items[0]) if defn.impl: self.name_already_defined(defn.name, defn.impl, defn.items[0]) # Remove the non-overloads for idx in reversed(non_overload_indexes): del defn.items[idx] def handle_missing_overload_implementation(self, defn: OverloadedFuncDef) -> None: """Generate error about missing overload implementation (only if needed).""" if not self.is_stub_file: if self.type and self.type.is_protocol and not self.is_func_scope(): # An overloaded protocol method doesn't need an implementation, # but if it doesn't have one, then it is considered abstract. for item in defn.items: if isinstance(item, Decorator): item.func.abstract_status = IS_ABSTRACT else: item.abstract_status = IS_ABSTRACT elif all( isinstance(item, Decorator) and item.func.abstract_status == IS_ABSTRACT for item in defn.items ): # Since there is no implementation, it can't be called via super(). if defn.items: assert isinstance(defn.items[0], Decorator) defn.items[0].func.is_trivial_body = True else: self.fail( "An overloaded function outside a stub file must have an implementation", defn, code=codes.NO_OVERLOAD_IMPL, ) def process_final_in_overload(self, defn: OverloadedFuncDef) -> None: """Detect the @final status of an overloaded function (and perform checks).""" # If the implementation is marked as @final (or the first overload in # stubs), then the whole overloaded definition if @final. if any(item.is_final for item in defn.items): # We anyway mark it as final because it was probably the intention. defn.is_final = True # Only show the error once per overload bad_final = next(ov for ov in defn.items if ov.is_final) if not self.is_stub_file: self.fail("@final should be applied only to overload implementation", bad_final) elif any(item.is_final for item in defn.items[1:]): bad_final = next(ov for ov in defn.items[1:] if ov.is_final) self.fail( "In a stub file @final must be applied only to the first overload", bad_final ) if defn.impl is not None and defn.impl.is_final: defn.is_final = True def process_static_or_class_method_in_overload(self, defn: OverloadedFuncDef) -> None: class_status = [] static_status = [] for item in defn.items: if isinstance(item, Decorator): inner = item.func elif isinstance(item, FuncDef): inner = item else: assert False, f"The 'item' variable is an unexpected type: {type(item)}" class_status.append(inner.is_class) static_status.append(inner.is_static) if defn.impl is not None: if isinstance(defn.impl, Decorator): inner = defn.impl.func elif isinstance(defn.impl, FuncDef): inner = defn.impl else: assert False, f"Unexpected impl type: {type(defn.impl)}" class_status.append(inner.is_class) static_status.append(inner.is_static) if len(set(class_status)) != 1: self.msg.overload_inconsistently_applies_decorator("classmethod", defn) elif len(set(static_status)) != 1: self.msg.overload_inconsistently_applies_decorator("staticmethod", defn) else: defn.is_class = class_status[0] defn.is_static = static_status[0] def analyze_property_with_multi_part_definition( self, defn: OverloadedFuncDef ) -> CallableType | None: """Analyze a property defined using multiple methods (e.g., using @x.setter). Assume that the first method (@property) has already been analyzed. Return bare setter type (without any other decorators applied), this may be used by the caller for performance optimizations. """ defn.is_property = True items = defn.items first_item = defn.items[0] assert isinstance(first_item, Decorator) deleted_items = [] bare_setter_type = None func_name = first_item.func.name for i, item in enumerate(items[1:]): if isinstance(item, Decorator): item.func.accept(self) if item.decorators: first_node = item.decorators[0] if self._is_valid_property_decorator(first_node, func_name): # Get abstractness from the original definition. item.func.abstract_status = first_item.func.abstract_status if first_node.name == "setter": # The first item represents the entire property. first_item.var.is_settable_property = True setter_func_type = function_type(item.func, self.function_type()) assert isinstance(setter_func_type, CallableType) bare_setter_type = setter_func_type defn.setter_index = i + 1 for other_node in item.decorators[1:]: other_node.accept(self) else: self.fail( f'Only supported top decorators are "@{func_name}.setter" and "@{func_name}.deleter"', first_node, ) else: self.fail(f'Unexpected definition for property "{func_name}"', item) deleted_items.append(i + 1) for i in reversed(deleted_items): del items[i] for item in items[1:]: if isinstance(item, Decorator): for d in item.decorators: if (deprecated := self.get_deprecated(d)) is not None: item.func.deprecated = ( f"function {item.fullname} is deprecated: {deprecated}" ) return bare_setter_type def _is_valid_property_decorator( self, deco: Expression, property_name: str ) -> TypeGuard[MemberExpr]: if not isinstance(deco, MemberExpr): return False if not isinstance(deco.expr, NameExpr) or deco.expr.name != property_name: return False if deco.name not in {"setter", "deleter"}: # This intentionally excludes getter. While `@prop.getter` is valid at # runtime, that would mean replacing the already processed getter type. # Such usage is almost definitely a mistake (except for overrides in # subclasses but we don't support them anyway) and might be a typo # (only one letter away from `setter`), it's likely almost never used, # so supporting it properly won't pay off. return False return True def add_function_to_symbol_table(self, func: FuncDef | OverloadedFuncDef) -> None: if self.is_class_scope(): assert self.type is not None func.info = self.type func._fullname = self.qualified_name(func.name) self.add_symbol(func.name, func, func) def analyze_arg_initializers(self, defn: FuncItem) -> None: fullname = self.function_fullname(defn.fullname) with self.tvar_scope_frame(self.tvar_scope.method_frame(fullname)): # Analyze default arguments for arg in defn.arguments: if arg.initializer: arg.initializer.accept(self) def analyze_function_body(self, defn: FuncItem) -> None: is_method = self.is_class_scope() fullname = self.function_fullname(defn.fullname) with self.tvar_scope_frame(self.tvar_scope.method_frame(fullname)): # Bind the type variables again to visit the body. if defn.type: a = self.type_analyzer() typ = defn.type assert isinstance(typ, CallableType) a.bind_function_type_variables(typ, defn) for i in range(len(typ.arg_types)): store_argument_type(defn, i, typ, self.named_type) self.function_stack.append(defn) with self.enter(defn): for arg in defn.arguments: self.add_local(arg.variable, defn) # The first argument of a non-static, non-class method is like 'self' # (though the name could be different), having the enclosing class's # instance type. if is_method and defn.has_self_or_cls_argument and defn.arguments: if not defn.is_class: defn.arguments[0].variable.is_self = True else: defn.arguments[0].variable.is_cls = True defn.body.accept(self) self.function_stack.pop() def check_classvar_in_signature(self, typ: ProperType) -> None: t: ProperType if isinstance(typ, Overloaded): for t in typ.items: self.check_classvar_in_signature(t) return if not isinstance(typ, CallableType): return for t in get_proper_types(typ.arg_types) + [get_proper_type(typ.ret_type)]: if self.is_classvar(t): self.fail_invalid_classvar(t) # Show only one error per signature break def check_function_signature(self, fdef: FuncItem) -> None: sig = fdef.type assert isinstance(sig, CallableType) if len(sig.arg_types) < len(fdef.arguments): self.fail("Type signature has too few arguments", fdef) # Add dummy Any arguments to prevent crashes later. num_extra_anys = len(fdef.arguments) - len(sig.arg_types) extra_anys = [AnyType(TypeOfAny.from_error)] * num_extra_anys sig.arg_types.extend(extra_anys) elif len(sig.arg_types) > len(fdef.arguments): self.fail("Type signature has too many arguments", fdef, blocker=True) def visit_decorator(self, dec: Decorator) -> None: self.statement = dec # TODO: better don't modify them at all. dec.decorators = dec.original_decorators.copy() dec.func.is_conditional = self.block_depth[-1] > 0 if not dec.is_overload: self.add_symbol(dec.name, dec, dec) dec.func._fullname = self.qualified_name(dec.name) dec.var._fullname = self.qualified_name(dec.name) for d in dec.decorators: d.accept(self) removed: list[int] = [] no_type_check = False could_be_decorated_property = False for i, d in enumerate(dec.decorators): # A bunch of decorators are special cased here. if refers_to_fullname(d, "abc.abstractmethod"): removed.append(i) dec.func.abstract_status = IS_ABSTRACT self.check_decorated_function_is_method("abstractmethod", dec) elif refers_to_fullname(d, ("asyncio.coroutines.coroutine", "types.coroutine")): removed.append(i) dec.func.is_awaitable_coroutine = True elif refers_to_fullname(d, "builtins.staticmethod"): removed.append(i) dec.func.is_static = True dec.var.is_staticmethod = True self.check_decorated_function_is_method("staticmethod", dec) elif refers_to_fullname(d, "builtins.classmethod"): removed.append(i) dec.func.is_class = True dec.var.is_classmethod = True self.check_decorated_function_is_method("classmethod", dec) elif refers_to_fullname(d, OVERRIDE_DECORATOR_NAMES): removed.append(i) dec.func.is_explicit_override = True self.check_decorated_function_is_method("override", dec) elif refers_to_fullname( d, ( "builtins.property", "abc.abstractproperty", "functools.cached_property", "enum.property", "types.DynamicClassAttribute", ), ): removed.append(i) dec.func.is_property = True dec.var.is_property = True if refers_to_fullname(d, "abc.abstractproperty"): dec.func.abstract_status = IS_ABSTRACT elif refers_to_fullname(d, "functools.cached_property"): dec.var.is_settable_property = True self.check_decorated_function_is_method("property", dec) elif refers_to_fullname(d, "typing.no_type_check"): dec.var.type = AnyType(TypeOfAny.special_form) no_type_check = True elif refers_to_fullname(d, FINAL_DECORATOR_NAMES): if self.is_class_scope(): assert self.type is not None, "No type set at class scope" if self.type.is_protocol: self.msg.protocol_members_cant_be_final(d) else: dec.func.is_final = True dec.var.is_final = True removed.append(i) else: self.fail("@final cannot be used with non-method functions", d) elif refers_to_fullname(d, TYPE_CHECK_ONLY_NAMES): # TODO: support `@overload` funcs. dec.func.is_type_check_only = True elif isinstance(d, CallExpr) and refers_to_fullname( d.callee, DATACLASS_TRANSFORM_NAMES ): dec.func.dataclass_transform_spec = self.parse_dataclass_transform_spec(d) elif (deprecated := self.get_deprecated(d)) is not None: dec.func.deprecated = f"function {dec.fullname} is deprecated: {deprecated}" elif not dec.var.is_property: # We have seen a "non-trivial" decorator before seeing @property, if # we will see a @property later, give an error, as we don't support this. could_be_decorated_property = True for i in reversed(removed): del dec.decorators[i] if (not dec.is_overload or dec.var.is_property) and self.type: dec.var.info = self.type dec.var.is_initialized_in_class = True if not no_type_check and self.recurse_into_functions: dec.func.accept(self) if could_be_decorated_property and dec.decorators and dec.var.is_property: self.fail( "Decorators on top of @property are not supported", dec, code=PROPERTY_DECORATOR ) if (dec.func.is_static or dec.func.is_class) and dec.var.is_property: self.fail("Only instance methods can be decorated with @property", dec) if dec.func.abstract_status == IS_ABSTRACT and dec.func.is_final: self.fail(f"Method {dec.func.name} is both abstract and final", dec) if dec.func.is_static and dec.func.is_class: self.fail(message_registry.CLASS_PATTERN_CLASS_OR_STATIC_METHOD, dec) def check_decorated_function_is_method(self, decorator: str, context: Context) -> None: if not self.type or self.is_func_scope(): self.fail(f'"{decorator}" used with a non-method', context) # # Classes # def visit_class_def(self, defn: ClassDef) -> None: self.statement = defn self.incomplete_type_stack.append(not defn.info) namespace = self.qualified_name(defn.name) with self.tvar_scope_frame(self.tvar_scope.class_frame(namespace)): if self.push_type_args(defn.type_args, defn) is None: self.mark_incomplete(defn.name, defn) return self.analyze_class(defn) self.pop_type_args(defn.type_args) self.incomplete_type_stack.pop() def push_type_args( self, type_args: list[TypeParam] | None, context: Context ) -> list[tuple[str, TypeVarLikeExpr]] | None: if not type_args: return [] self.locals.append(SymbolTable()) self.scope_stack.append(SCOPE_ANNOTATION) tvs: list[tuple[str, TypeVarLikeExpr]] = [] for p in type_args: tv = self.analyze_type_param(p, context) if tv is None: return None tvs.append((p.name, tv)) if self.is_defined_type_param(p.name): self.fail(f'"{p.name}" already defined as a type parameter', context) else: assert self.add_symbol( p.name, tv, context, no_progress=True, type_param=True ), "Type parameter should not be discarded" return tvs def is_defined_type_param(self, name: str) -> bool: for names in self.locals: if names is None: continue if name in names: node = names[name].node if isinstance(node, TypeVarLikeExpr): return True return False def analyze_type_param( self, type_param: TypeParam, context: Context ) -> TypeVarLikeExpr | None: fullname = self.qualified_name(type_param.name) if type_param.upper_bound: upper_bound = self.anal_type(type_param.upper_bound, allow_placeholder=True) # TODO: we should validate the upper bound is valid for a given kind. if upper_bound is None: # This and below copies special-casing for old-style type variables, that # is equally necessary for new-style classes to break a vicious circle. upper_bound = PlaceholderType(None, [], context.line) else: if type_param.kind == TYPE_VAR_TUPLE_KIND: upper_bound = self.named_type("builtins.tuple", [self.object_type()]) else: upper_bound = self.object_type() if type_param.default: default = self.anal_type( type_param.default, allow_placeholder=True, allow_unbound_tvars=True, report_invalid_types=False, allow_param_spec_literals=type_param.kind == PARAM_SPEC_KIND, allow_tuple_literal=type_param.kind == PARAM_SPEC_KIND, allow_unpack=type_param.kind == TYPE_VAR_TUPLE_KIND, ) if default is None: default = PlaceholderType(None, [], context.line) elif type_param.kind == TYPE_VAR_KIND: default = self.check_typevar_default(default, type_param.default) elif type_param.kind == PARAM_SPEC_KIND: default = self.check_paramspec_default(default, type_param.default) elif type_param.kind == TYPE_VAR_TUPLE_KIND: default = self.check_typevartuple_default(default, type_param.default) else: default = AnyType(TypeOfAny.from_omitted_generics) if type_param.kind == TYPE_VAR_KIND: values: list[Type] = [] if type_param.values: for value in type_param.values: analyzed = self.anal_type(value, allow_placeholder=True) if analyzed is None: analyzed = PlaceholderType(None, [], context.line) if has_type_vars(analyzed): self.fail(message_registry.TYPE_VAR_GENERIC_CONSTRAINT_TYPE, context) values.append(AnyType(TypeOfAny.from_error)) else: values.append(analyzed) return TypeVarExpr( name=type_param.name, fullname=fullname, values=values, upper_bound=upper_bound, default=default, variance=VARIANCE_NOT_READY, is_new_style=True, line=context.line, ) elif type_param.kind == PARAM_SPEC_KIND: return ParamSpecExpr( name=type_param.name, fullname=fullname, upper_bound=upper_bound, default=default, is_new_style=True, line=context.line, ) else: assert type_param.kind == TYPE_VAR_TUPLE_KIND tuple_fallback = self.named_type("builtins.tuple", [self.object_type()]) return TypeVarTupleExpr( name=type_param.name, fullname=fullname, upper_bound=upper_bound, tuple_fallback=tuple_fallback, default=default, is_new_style=True, line=context.line, ) def pop_type_args(self, type_args: list[TypeParam] | None) -> None: if not type_args: return self.locals.pop() self.scope_stack.pop() def analyze_class(self, defn: ClassDef) -> None: fullname = self.qualified_name(defn.name) if not defn.info and not self.is_core_builtin_class(defn): # Add placeholder so that self-references in base classes can be # resolved. We don't want this to cause a deferral, since if there # are no incomplete references, we'll replace this with a TypeInfo # before returning. placeholder = PlaceholderNode(fullname, defn, defn.line, becomes_typeinfo=True) self.add_symbol(defn.name, placeholder, defn, can_defer=False) tag = self.track_incomplete_refs() # Restore base classes after previous iteration (things like Generic[T] might be removed). defn.base_type_exprs.extend(defn.removed_base_type_exprs) defn.removed_base_type_exprs.clear() self.infer_metaclass_and_bases_from_compat_helpers(defn) bases = defn.base_type_exprs bases, tvar_defs, is_protocol = self.clean_up_bases_and_infer_type_variables( defn, bases, context=defn ) self.check_type_alias_bases(bases) for tvd in tvar_defs: if isinstance(tvd, TypeVarType) and any( has_placeholder(t) for t in [tvd.upper_bound] + tvd.values ): # Some type variable bounds or values are not ready, we need # to re-analyze this class. self.defer() if has_placeholder(tvd.default): # Placeholder values in TypeVarLikeTypes may get substituted in. # Defer current target until they are ready. self.mark_incomplete(defn.name, defn) return self.analyze_class_keywords(defn) bases_result = self.analyze_base_classes(bases) if bases_result is None or self.found_incomplete_ref(tag): # Something was incomplete. Defer current target. self.mark_incomplete(defn.name, defn) return base_types, base_error = bases_result if any(isinstance(base, PlaceholderType) for base, _ in base_types): # We need to know the TypeInfo of each base to construct the MRO. Placeholder types # are okay in nested positions, since they can't affect the MRO. self.mark_incomplete(defn.name, defn) return declared_metaclass, should_defer, any_meta = self.get_declared_metaclass( defn.name, defn.metaclass ) if should_defer or self.found_incomplete_ref(tag): # Metaclass was not ready. Defer current target. self.mark_incomplete(defn.name, defn) return if self.analyze_typeddict_classdef(defn): if defn.info: self.setup_type_vars(defn, tvar_defs) self.setup_alias_type_vars(defn) return if self.analyze_namedtuple_classdef(defn, tvar_defs): return # Create TypeInfo for class now that base classes and the MRO can be calculated. self.prepare_class_def(defn) self.setup_type_vars(defn, tvar_defs) if base_error: defn.info.fallback_to_any = True if any_meta: defn.info.meta_fallback_to_any = True with self.scope.class_scope(defn.info): self.configure_base_classes(defn, base_types) defn.info.is_protocol = is_protocol self.recalculate_metaclass(defn, declared_metaclass) defn.info.runtime_protocol = False if defn.type_args: # PEP 695 type parameters are not in scope in class decorators, so # temporarily disable type parameter namespace. type_params_names = self.locals.pop() self.scope_stack.pop() for decorator in defn.decorators: self.analyze_class_decorator(defn, decorator) if defn.type_args: self.locals.append(type_params_names) self.scope_stack.append(SCOPE_ANNOTATION) self.analyze_class_body_common(defn) def check_type_alias_bases(self, bases: list[Expression]) -> None: for base in bases: if isinstance(base, IndexExpr): base = base.base if ( isinstance(base, RefExpr) and isinstance(base.node, TypeAlias) and base.node.python_3_12_type_alias ): self.fail( 'Type alias defined using "type" statement not valid as base class', base ) def setup_type_vars(self, defn: ClassDef, tvar_defs: list[TypeVarLikeType]) -> None: defn.type_vars = tvar_defs defn.info.type_vars = [] # we want to make sure any additional logic in add_type_vars gets run defn.info.add_type_vars() def setup_alias_type_vars(self, defn: ClassDef) -> None: assert defn.info.special_alias is not None defn.info.special_alias.alias_tvars = list(defn.type_vars) # It is a bit unfortunate that we need to inline some logic from TypeAlias constructor, # but it is required, since type variables may change during semantic analyzer passes. for i, t in enumerate(defn.type_vars): if isinstance(t, TypeVarTupleType): defn.info.special_alias.tvar_tuple_index = i target = defn.info.special_alias.target assert isinstance(target, ProperType) if isinstance(target, TypedDictType): target.fallback.args = type_vars_as_args(defn.type_vars) elif isinstance(target, TupleType): target.partial_fallback.args = type_vars_as_args(defn.type_vars) else: assert False, f"Unexpected special alias type: {type(target)}" def is_core_builtin_class(self, defn: ClassDef) -> bool: return self.cur_mod_id == "builtins" and defn.name in CORE_BUILTIN_CLASSES def analyze_class_body_common(self, defn: ClassDef) -> None: """Parts of class body analysis that are common to all kinds of class defs.""" self.enter_class(defn.info) if any(b.self_type is not None for b in defn.info.mro): self.setup_self_type() defn.defs.accept(self) self.apply_class_plugin_hooks(defn) self.leave_class() def analyze_typeddict_classdef(self, defn: ClassDef) -> bool: if ( defn.info and defn.info.typeddict_type and not has_placeholder(defn.info.typeddict_type) ): # This is a valid TypedDict, and it is fully analyzed. return True is_typeddict, info = self.typed_dict_analyzer.analyze_typeddict_classdef(defn) if is_typeddict: for decorator in defn.decorators: decorator.accept(self) if info is not None: self.analyze_class_decorator_common(defn, info, decorator) if info is None: self.mark_incomplete(defn.name, defn) else: self.prepare_class_def(defn, info, custom_names=True) return True return False def analyze_namedtuple_classdef( self, defn: ClassDef, tvar_defs: list[TypeVarLikeType] ) -> bool: """Check if this class can define a named tuple.""" if ( defn.info and defn.info.is_named_tuple and defn.info.tuple_type and not has_placeholder(defn.info.tuple_type) ): # Don't reprocess everything. We just need to process methods defined # in the named tuple class body. is_named_tuple = True info: TypeInfo | None = defn.info else: is_named_tuple, info = self.named_tuple_analyzer.analyze_namedtuple_classdef( defn, self.is_stub_file, self.is_func_scope() ) if is_named_tuple: if info is None: self.mark_incomplete(defn.name, defn) else: self.prepare_class_def(defn, info, custom_names=True) self.setup_type_vars(defn, tvar_defs) self.setup_alias_type_vars(defn) with self.scope.class_scope(defn.info): for deco in defn.decorators: deco.accept(self) self.analyze_class_decorator_common(defn, defn.info, deco) with self.named_tuple_analyzer.save_namedtuple_body(info): self.analyze_class_body_common(defn) return True return False def apply_class_plugin_hooks(self, defn: ClassDef) -> None: """Apply a plugin hook that may infer a more precise definition for a class.""" for decorator in defn.decorators: decorator_name = self.get_fullname_for_hook(decorator) if decorator_name: hook = self.plugin.get_class_decorator_hook(decorator_name) # Special case: if the decorator is itself decorated with # typing.dataclass_transform, apply the hook for the dataclasses plugin # TODO: remove special casing here if hook is None and find_dataclass_transform_spec(decorator): hook = dataclasses_plugin.dataclass_tag_callback if hook: hook(ClassDefContext(defn, decorator, self)) if defn.metaclass: metaclass_name = self.get_fullname_for_hook(defn.metaclass) if metaclass_name: hook = self.plugin.get_metaclass_hook(metaclass_name) if hook: hook(ClassDefContext(defn, defn.metaclass, self)) for base_expr in defn.base_type_exprs: base_name = self.get_fullname_for_hook(base_expr) if base_name: hook = self.plugin.get_base_class_hook(base_name) if hook: hook(ClassDefContext(defn, base_expr, self)) # Check if the class definition itself triggers a dataclass transform (via a parent class/ # metaclass) spec = find_dataclass_transform_spec(defn) if spec is not None: dataclasses_plugin.add_dataclass_tag(defn.info) def get_fullname_for_hook(self, expr: Expression) -> str | None: if isinstance(expr, CallExpr): return self.get_fullname_for_hook(expr.callee) elif isinstance(expr, IndexExpr): return self.get_fullname_for_hook(expr.base) elif isinstance(expr, RefExpr): if expr.fullname: return expr.fullname # If we don't have a fullname look it up. This happens because base classes are # analyzed in a different manner (see exprtotype.py) and therefore those AST # nodes will not have full names. sym = self.lookup_type_node(expr) if sym: return sym.fullname return None def analyze_class_keywords(self, defn: ClassDef) -> None: for value in defn.keywords.values(): value.accept(self) def enter_class(self, info: TypeInfo) -> None: # Remember previous active class self.type_stack.append(self.type) self.locals.append(None) # Add class scope self.scope_stack.append(SCOPE_CLASS) self.block_depth.append(-1) # The class body increments this to 0 self.loop_depth.append(0) self._type = info self.missing_names.append(set()) def leave_class(self) -> None: """Restore analyzer state.""" self.block_depth.pop() self.loop_depth.pop() self.locals.pop() self.scope_stack.pop() self._type = self.type_stack.pop() self.missing_names.pop() def analyze_class_decorator(self, defn: ClassDef, decorator: Expression) -> None: decorator.accept(self) self.analyze_class_decorator_common(defn, defn.info, decorator) if isinstance(decorator, RefExpr): if decorator.fullname in RUNTIME_PROTOCOL_DECOS: if defn.info.is_protocol: defn.info.runtime_protocol = True else: self.fail("@runtime_checkable can only be used with protocol classes", defn) elif isinstance(decorator, CallExpr) and refers_to_fullname( decorator.callee, DATACLASS_TRANSFORM_NAMES ): defn.info.dataclass_transform_spec = self.parse_dataclass_transform_spec(decorator) def analyze_class_decorator_common( self, defn: ClassDef, info: TypeInfo, decorator: Expression ) -> None: """Common method for applying class decorators. Called on regular classes, typeddicts, and namedtuples. """ if refers_to_fullname(decorator, FINAL_DECORATOR_NAMES): info.is_final = True elif refers_to_fullname(decorator, DISJOINT_BASE_DECORATOR_NAMES): info.is_disjoint_base = True elif refers_to_fullname(decorator, TYPE_CHECK_ONLY_NAMES): info.is_type_check_only = True elif (deprecated := self.get_deprecated(decorator)) is not None: info.deprecated = f"class {defn.fullname} is deprecated: {deprecated}" def clean_up_bases_and_infer_type_variables( self, defn: ClassDef, base_type_exprs: list[Expression], context: Context ) -> tuple[list[Expression], list[TypeVarLikeType], bool]: """Remove extra base classes such as Generic and infer type vars. For example, consider this class: class Foo(Bar, Generic[T]): ... Now we will remove Generic[T] from bases of Foo and infer that the type variable 'T' is a type argument of Foo. Note that this is performed *before* semantic analysis. Returns (remaining base expressions, inferred type variables, is protocol). """ removed: list[int] = [] declared_tvars: TypeVarLikeList = [] is_protocol = False if defn.type_args is not None: for p in defn.type_args: node = self.lookup(p.name, context) assert node is not None assert isinstance(node.node, TypeVarLikeExpr) declared_tvars.append((p.name, node.node)) for i, base_expr in enumerate(base_type_exprs): if isinstance(base_expr, StarExpr): base_expr.valid = True self.analyze_type_expr(base_expr) try: base = self.expr_to_unanalyzed_type(base_expr) except TypeTranslationError: # This error will be caught later. continue result = self.analyze_class_typevar_declaration(base) if result is not None: tvars = result[0] is_protocol |= result[1] if declared_tvars: if defn.type_args: if is_protocol: self.fail('No arguments expected for "Protocol" base class', context) else: self.fail("Generic[...] base class is redundant", context) else: self.fail( "Only single Generic[...] or Protocol[...] can be in bases", context ) removed.append(i) declared_tvars.extend(tvars) if isinstance(base, UnboundType): sym = self.lookup_qualified(base.name, base) if sym is not None and sym.node is not None: if sym.node.fullname in PROTOCOL_NAMES and i not in removed: # also remove bare 'Protocol' bases removed.append(i) is_protocol = True all_tvars = self.get_all_bases_tvars(base_type_exprs, removed) if declared_tvars: if len(remove_dups(declared_tvars)) < len(declared_tvars) and not defn.type_args: self.fail("Duplicate type variables in Generic[...] or Protocol[...]", context) declared_tvars = remove_dups(declared_tvars) if not set(all_tvars).issubset(set(declared_tvars)): if defn.type_args: undeclared = sorted(set(all_tvars) - set(declared_tvars)) self.msg.type_parameters_should_be_declared( [tv[0] for tv in undeclared], context ) else: self.fail( "If Generic[...] or Protocol[...] is present" " it should list all type variables", context, ) # In case of error, Generic tvars will go first declared_tvars = remove_dups(declared_tvars + all_tvars) else: declared_tvars = all_tvars for i in reversed(removed): # We need to actually remove the base class expressions like Generic[T], # mostly because otherwise they will create spurious dependencies in fine # grained incremental mode. defn.removed_base_type_exprs.append(defn.base_type_exprs[i]) del base_type_exprs[i] tvar_defs = self.tvar_defs_from_tvars(declared_tvars, context) return base_type_exprs, tvar_defs, is_protocol def analyze_class_typevar_declaration(self, base: Type) -> tuple[TypeVarLikeList, bool] | None: """Analyze type variables declared using Generic[...] or Protocol[...]. Args: base: Non-analyzed base class Return None if the base class does not declare type variables. Otherwise, return the type variables. """ if not isinstance(base, UnboundType): return None unbound = base sym = self.lookup_qualified(unbound.name, unbound) if sym is None or sym.node is None: return None if ( sym.node.fullname == "typing.Generic" or sym.node.fullname in PROTOCOL_NAMES and base.args ): is_proto = sym.node.fullname != "typing.Generic" tvars: TypeVarLikeList = [] have_type_var_tuple = False for arg in unbound.args: tag = self.track_incomplete_refs() tvar = self.analyze_unbound_tvar(arg) if tvar: if isinstance(tvar[1], TypeVarTupleExpr): if have_type_var_tuple: self.fail("Can only use one type var tuple in a class def", base) continue have_type_var_tuple = True tvars.append(tvar) elif not self.found_incomplete_ref(tag): self.fail("Free type variable expected in %s[...]" % sym.node.name, base) return tvars, is_proto return None def analyze_unbound_tvar(self, t: Type) -> tuple[str, TypeVarLikeExpr] | None: if isinstance(t, UnpackType) and isinstance(t.type, UnboundType): return self.analyze_unbound_tvar_impl(t.type, is_unpacked=True) if isinstance(t, UnboundType): sym = self.lookup_qualified(t.name, t) if sym and sym.fullname in UNPACK_TYPE_NAMES: inner_t = t.args[0] if isinstance(inner_t, UnboundType): return self.analyze_unbound_tvar_impl(inner_t, is_unpacked=True) return None return self.analyze_unbound_tvar_impl(t) return None def analyze_unbound_tvar_impl( self, t: UnboundType, is_unpacked: bool = False, is_typealias_param: bool = False ) -> tuple[str, TypeVarLikeExpr] | None: assert not is_unpacked or not is_typealias_param, "Mutually exclusive conditions" sym = self.lookup_qualified(t.name, t) if sym and isinstance(sym.node, PlaceholderNode): self.record_incomplete_ref() if not is_unpacked and sym and isinstance(sym.node, ParamSpecExpr): if sym.fullname and not self.tvar_scope.allow_binding(sym.fullname): # It's bound by our type variable scope return None return t.name, sym.node if (is_unpacked or is_typealias_param) and sym and isinstance(sym.node, TypeVarTupleExpr): if sym.fullname and not self.tvar_scope.allow_binding(sym.fullname): # It's bound by our type variable scope return None return t.name, sym.node if sym is None or not isinstance(sym.node, TypeVarExpr) or is_unpacked: return None elif sym.fullname and not self.tvar_scope.allow_binding(sym.fullname): # It's bound by our type variable scope return None else: assert isinstance(sym.node, TypeVarExpr) return t.name, sym.node def find_type_var_likes(self, t: Type) -> TypeVarLikeList: visitor = FindTypeVarVisitor(self, self.tvar_scope) t.accept(visitor) return visitor.type_var_likes def get_all_bases_tvars( self, base_type_exprs: list[Expression], removed: list[int] ) -> TypeVarLikeList: """Return all type variable references in bases.""" tvars: TypeVarLikeList = [] for i, base_expr in enumerate(base_type_exprs): if i not in removed: try: base = self.expr_to_unanalyzed_type(base_expr) except TypeTranslationError: # This error will be caught later. continue base_tvars = self.find_type_var_likes(base) tvars.extend(base_tvars) return remove_dups(tvars) def tvar_defs_from_tvars( self, tvars: TypeVarLikeList, context: Context ) -> list[TypeVarLikeType]: tvar_defs: list[TypeVarLikeType] = [] last_tvar_name_with_default: str | None = None for name, tvar_expr in tvars: tvar_expr.default = tvar_expr.default.accept( TypeVarDefaultTranslator(self, tvar_expr.name, context) ) # PEP-695 type variables that are redeclared in an inner scope are warned # about elsewhere. if not tvar_expr.is_new_style and not self.tvar_scope.allow_binding( tvar_expr.fullname ): self.fail( message_registry.TYPE_VAR_REDECLARED_IN_NESTED_CLASS.format(name), context ) tvar_def = self.tvar_scope.bind_new(name, tvar_expr) if last_tvar_name_with_default is not None and not tvar_def.has_default(): self.msg.tvar_without_default_type( tvar_def.name, last_tvar_name_with_default, context ) tvar_def.default = AnyType(TypeOfAny.from_error) elif tvar_def.has_default(): last_tvar_name_with_default = tvar_def.name tvar_defs.append(tvar_def) return tvar_defs def get_and_bind_all_tvars(self, type_exprs: list[Expression]) -> list[TypeVarLikeType]: """Return all type variable references in item type expressions. This is a helper for generic TypedDicts and NamedTuples. Essentially it is a simplified version of the logic we use for ClassDef bases. We duplicate some amount of code, because it is hard to refactor common pieces. """ tvars = [] for base_expr in type_exprs: try: base = self.expr_to_unanalyzed_type(base_expr) except TypeTranslationError: # This error will be caught later. continue base_tvars = self.find_type_var_likes(base) tvars.extend(base_tvars) tvars = remove_dups(tvars) # Variables are defined in order of textual appearance. tvar_defs = [] for name, tvar_expr in tvars: tvar_def = self.tvar_scope.bind_new(name, tvar_expr) tvar_defs.append(tvar_def) return tvar_defs def prepare_class_def( self, defn: ClassDef, info: TypeInfo | None = None, custom_names: bool = False ) -> None: """Prepare for the analysis of a class definition. Create an empty TypeInfo and store it in a symbol table, or if the 'info' argument is provided, store it instead (used for magic type definitions). """ if not defn.info: defn.fullname = self.qualified_name(defn.name) # TODO: Nested classes info = info or self.make_empty_type_info(defn) defn.info = info info.defn = defn if not custom_names: # Some special classes (in particular NamedTuples) use custom fullname logic. # Don't override it here (also see comment below, this needs cleanup). if not self.is_func_scope(): info._fullname = self.qualified_name(defn.name) else: info._fullname = info.name local_name = defn.name if "@" in local_name: local_name = local_name.split("@")[0] self.add_symbol(local_name, defn.info, defn) if self.is_nested_within_func_scope(): # We need to preserve local classes, let's store them # in globals under mangled unique names # # TODO: Putting local classes into globals breaks assumptions in fine-grained # incremental mode and we should avoid it. In general, this logic is too # ad-hoc and needs to be removed/refactored. if "@" not in defn.info._fullname: global_name = defn.info.name + "@" + str(defn.line) defn.info._fullname = self.cur_mod_id + "." + global_name else: # Preserve name from previous fine-grained incremental run. global_name = defn.info.name defn.fullname = defn.info._fullname if defn.info.is_named_tuple or defn.info.typeddict_type: # Named tuples and Typed dicts nested within a class are stored # in the class symbol table. self.add_symbol_skip_local(global_name, defn.info) else: self.globals[global_name] = SymbolTableNode(GDEF, defn.info) def make_empty_type_info(self, defn: ClassDef) -> TypeInfo: if ( self.is_module_scope() and self.cur_mod_id == "builtins" and defn.name in CORE_BUILTIN_CLASSES ): # Special case core built-in classes. A TypeInfo was already # created for it before semantic analysis, but with a dummy # ClassDef. Patch the real ClassDef object. info = self.globals[defn.name].node assert isinstance(info, TypeInfo) else: info = TypeInfo(SymbolTable(), defn, self.cur_mod_id) info.set_line(defn) return info def get_name_repr_of_expr(self, expr: Expression) -> str | None: """Try finding a short simplified textual representation of a base class expression.""" if isinstance(expr, NameExpr): return expr.name if isinstance(expr, MemberExpr): return get_member_expr_fullname(expr) if isinstance(expr, IndexExpr): return self.get_name_repr_of_expr(expr.base) if isinstance(expr, CallExpr): return self.get_name_repr_of_expr(expr.callee) return None def analyze_base_classes( self, base_type_exprs: list[Expression] ) -> tuple[list[tuple[ProperType, Expression]], bool] | None: """Analyze base class types. Return None if some definition was incomplete. Otherwise, return a tuple with these items: * List of (analyzed type, original expression) tuples * Boolean indicating whether one of the bases had a semantic analysis error """ is_error = False bases = [] for base_expr in base_type_exprs: if ( isinstance(base_expr, RefExpr) and base_expr.fullname in TYPED_NAMEDTUPLE_NAMES + TPDICT_NAMES ) or ( isinstance(base_expr, CallExpr) and isinstance(base_expr.callee, RefExpr) and base_expr.callee.fullname in TPDICT_NAMES ): # Ignore magic bases for now. # For example: # class Foo(TypedDict): ... # RefExpr # class Foo(NamedTuple): ... # RefExpr # class Foo(TypedDict("Foo", {"a": int})): ... # CallExpr continue try: base = self.expr_to_analyzed_type( base_expr, allow_placeholder=True, allow_type_any=True ) except TypeTranslationError: name = self.get_name_repr_of_expr(base_expr) if isinstance(base_expr, CallExpr): msg = "Unsupported dynamic base class" else: msg = "Invalid base class" if name: msg += f' "{name}"' self.fail(msg, base_expr) is_error = True continue if base is None: return None base = get_proper_type(base) bases.append((base, base_expr)) return bases, is_error def configure_base_classes( self, defn: ClassDef, bases: list[tuple[ProperType, Expression]] ) -> None: """Set up base classes. This computes several attributes on the corresponding TypeInfo defn.info related to the base classes: defn.info.bases, defn.info.mro, and miscellaneous others (at least tuple_type, fallback_to_any, and is_enum.) """ base_types: list[Instance] = [] info = defn.info for base, base_expr in bases: if isinstance(base, TupleType): actual_base = self.configure_tuple_base_class(defn, base) base_types.append(actual_base) elif isinstance(base, Instance): if base.type.is_newtype: self.fail('Cannot subclass "NewType"', defn) base_types.append(base) elif isinstance(base, AnyType): if self.options.disallow_subclassing_any: if isinstance(base_expr, (NameExpr, MemberExpr)): msg = f'Class cannot subclass "{base_expr.name}" (has type "Any")' else: msg = 'Class cannot subclass value of type "Any"' self.fail(msg, base_expr) info.fallback_to_any = True elif isinstance(base, TypedDictType): base_types.append(base.fallback) else: msg = "Invalid base class" name = self.get_name_repr_of_expr(base_expr) if name: msg += f' "{name}"' self.fail(msg, base_expr) info.fallback_to_any = True if self.options.disallow_any_unimported and has_any_from_unimported_type(base): if isinstance(base_expr, (NameExpr, MemberExpr)): prefix = f"Base type {base_expr.name}" else: prefix = "Base type" self.msg.unimported_type_becomes_any(prefix, base, base_expr) check_for_explicit_any( base, self.options, self.is_typeshed_stub_file, self.msg, context=base_expr ) # Add 'object' as implicit base if there is no other base class. if not base_types and defn.fullname != "builtins.object": base_types.append(self.object_type()) info.bases = base_types # Calculate the MRO. if not self.verify_base_classes(defn): self.set_dummy_mro(defn.info) return if not self.verify_duplicate_base_classes(defn): # We don't want to block the typechecking process, # so, we just insert `Any` as the base class and show an error. self.set_any_mro(defn.info) self.calculate_class_mro(defn, self.object_type) def configure_tuple_base_class(self, defn: ClassDef, base: TupleType) -> Instance: info = defn.info # There may be an existing valid tuple type from previous semanal iterations. # Use equality to check if it is the case. if info.tuple_type and info.tuple_type != base and not has_placeholder(info.tuple_type): self.fail("Class has two incompatible bases derived from tuple", defn) defn.has_incompatible_baseclass = True if info.special_alias and has_placeholder(info.special_alias.target): self.process_placeholder( None, "tuple base", defn, force_progress=base != info.tuple_type ) info.update_tuple_type(base) self.setup_alias_type_vars(defn) if base.partial_fallback.type.fullname == "builtins.tuple" and not has_placeholder(base): # Fallback can only be safely calculated after semantic analysis, since base # classes may be incomplete. Postpone the calculation. self.schedule_patch(PRIORITY_FALLBACKS, lambda: calculate_tuple_fallback(base)) return base.partial_fallback def set_dummy_mro(self, info: TypeInfo) -> None: # Give it an MRO consisting of just the class itself and object. info.mro = [info, self.object_type().type] info.bad_mro = True def set_any_mro(self, info: TypeInfo) -> None: # Give it an MRO consisting direct `Any` subclass. info.fallback_to_any = True info.mro = [info, self.object_type().type] def calculate_class_mro( self, defn: ClassDef, obj_type: Callable[[], Instance] | None = None ) -> None: """Calculate method resolution order for a class. `obj_type` exists just to fill in empty base class list in case of an error. """ try: calculate_mro(defn.info, obj_type) except MroError: self.fail( f'Cannot determine consistent method resolution order (MRO) for "{defn.name}"', defn, ) self.set_dummy_mro(defn.info) # Allow plugins to alter the MRO to handle the fact that `def mro()` # on metaclasses permits MRO rewriting. if defn.fullname: hook = self.plugin.get_customize_class_mro_hook(defn.fullname) if hook: hook(ClassDefContext(defn, FakeExpression(), self)) def infer_metaclass_and_bases_from_compat_helpers(self, defn: ClassDef) -> None: """Lookup for special metaclass declarations, and update defn fields accordingly. * six.with_metaclass(M, B1, B2, ...) * @six.add_metaclass(M) * future.utils.with_metaclass(M, B1, B2, ...) * past.utils.with_metaclass(M, B1, B2, ...) """ # Look for six.with_metaclass(M, B1, B2, ...) with_meta_expr: Expression | None = None if len(defn.base_type_exprs) == 1: base_expr = defn.base_type_exprs[0] if isinstance(base_expr, CallExpr) and isinstance(base_expr.callee, RefExpr): self.analyze_type_expr(base_expr) if ( base_expr.callee.fullname in { "six.with_metaclass", "future.utils.with_metaclass", "past.utils.with_metaclass", } and len(base_expr.args) >= 1 and all(kind == ARG_POS for kind in base_expr.arg_kinds) ): with_meta_expr = base_expr.args[0] defn.base_type_exprs = base_expr.args[1:] # Look for @six.add_metaclass(M) add_meta_expr: Expression | None = None for dec_expr in defn.decorators: if isinstance(dec_expr, CallExpr) and isinstance(dec_expr.callee, RefExpr): dec_expr.callee.accept(self) if ( dec_expr.callee.fullname == "six.add_metaclass" and len(dec_expr.args) == 1 and dec_expr.arg_kinds[0] == ARG_POS ): add_meta_expr = dec_expr.args[0] break metas = {defn.metaclass, with_meta_expr, add_meta_expr} - {None} if len(metas) == 0: return if len(metas) > 1: self.fail("Multiple metaclass definitions", defn, code=codes.METACLASS) return defn.metaclass = metas.pop() def verify_base_classes(self, defn: ClassDef) -> bool: info = defn.info cycle = False for base in info.bases: baseinfo = base.type if self.is_base_class(info, baseinfo): self.fail("Cycle in inheritance hierarchy", defn) cycle = True return not cycle def verify_duplicate_base_classes(self, defn: ClassDef) -> bool: dup = find_duplicate(defn.info.direct_base_classes()) if dup: self.fail(f'Duplicate base class "{dup.name}"', defn) return not dup def is_base_class(self, t: TypeInfo, s: TypeInfo) -> bool: """Determine if t is a base class of s (but do not use mro).""" # Search the base class graph for t, starting from s. worklist = [s] visited = {s} while worklist: nxt = worklist.pop() if nxt == t: return True for base in nxt.bases: if base.type not in visited: worklist.append(base.type) visited.add(base.type) return False def get_declared_metaclass( self, name: str, metaclass_expr: Expression | None ) -> tuple[Instance | None, bool, bool]: """Get declared metaclass from metaclass expression. Returns a tuple of three values: * A metaclass instance or None * A boolean indicating whether we should defer * A boolean indicating whether we should set metaclass Any fallback (either for Any metaclass or invalid/dynamic metaclass). The two boolean flags can only be True if instance is None. """ declared_metaclass = None if metaclass_expr: metaclass_name = None if isinstance(metaclass_expr, NameExpr): metaclass_name = metaclass_expr.name elif isinstance(metaclass_expr, MemberExpr): metaclass_name = get_member_expr_fullname(metaclass_expr) if metaclass_name is None: self.fail( f'Dynamic metaclass not supported for "{name}"', metaclass_expr, code=codes.METACLASS, ) return None, False, True sym = self.lookup_qualified(metaclass_name, metaclass_expr) if sym is None: # Probably a name error - it is already handled elsewhere return None, False, True if isinstance(sym.node, Var) and isinstance(get_proper_type(sym.node.type), AnyType): if self.options.disallow_subclassing_any: self.fail( f'Class cannot use "{sym.node.name}" as a metaclass (has type "Any")', metaclass_expr, code=codes.METACLASS, ) return None, False, True if isinstance(sym.node, PlaceholderNode): return None, True, False # defer later in the caller # Support type aliases, like `_Meta: TypeAlias = type` metaclass_info: Node | None = sym.node if ( isinstance(sym.node, TypeAlias) and not sym.node.python_3_12_type_alias and not sym.node.alias_tvars ): target = get_proper_type(sym.node.target) if isinstance(target, Instance): metaclass_info = target.type if not isinstance(metaclass_info, TypeInfo) or metaclass_info.tuple_type is not None: self.fail( f'Invalid metaclass "{metaclass_name}"', metaclass_expr, code=codes.METACLASS ) return None, False, False if not metaclass_info.is_metaclass(): self.fail( 'Metaclasses not inheriting from "type" are not supported', metaclass_expr, code=codes.METACLASS, ) return None, False, False inst = fill_typevars(metaclass_info) assert isinstance(inst, Instance) declared_metaclass = inst return declared_metaclass, False, False def recalculate_metaclass(self, defn: ClassDef, declared_metaclass: Instance | None) -> None: defn.info.declared_metaclass = declared_metaclass defn.info.metaclass_type = defn.info.calculate_metaclass_type() if any(info.is_protocol for info in defn.info.mro): if ( not defn.info.metaclass_type or defn.info.metaclass_type.type.fullname == "builtins.type" ): # All protocols and their subclasses have ABCMeta metaclass by default. # TODO: add a metaclass conflict check if there is another metaclass. abc_meta = self.named_type_or_none("abc.ABCMeta", []) if abc_meta is not None: # May be None in tests with incomplete lib-stub. defn.info.metaclass_type = abc_meta if defn.info.metaclass_type and defn.info.metaclass_type.type.has_base("enum.EnumMeta"): defn.info.is_enum = True if defn.type_vars: self.fail("Enum class cannot be generic", defn) # # Imports # def visit_import(self, i: Import) -> None: self.statement = i for id, as_id in i.ids: # Modules imported in a stub file without using 'import X as X' won't get exported # When implicit re-exporting is disabled, we have the same behavior as stubs. use_implicit_reexport = not self.is_stub_file and self.options.implicit_reexport if as_id is not None: base_id = id imported_id = as_id module_public = use_implicit_reexport or id == as_id else: base_id = id.split(".")[0] imported_id = base_id module_public = use_implicit_reexport if base_id in self.modules: node = self.modules[base_id] if self.is_func_scope(): kind = LDEF elif self.type is not None: kind = MDEF else: kind = GDEF symbol = SymbolTableNode( kind, node, module_public=module_public, module_hidden=not module_public ) self.add_imported_symbol( imported_id, symbol, context=i, module_public=module_public, module_hidden=not module_public, ) else: self.add_unknown_imported_symbol( imported_id, context=i, target_name=base_id, module_public=module_public, module_hidden=not module_public, ) def visit_import_from(self, imp: ImportFrom) -> None: self.statement = imp module_id = self.correct_relative_import(imp) module = self.modules.get(module_id) for id, as_id in imp.names: fullname = module_id + "." + id self.set_future_import_flags(fullname) if module is None: node = None elif module_id == self.cur_mod_id and fullname in self.modules: # Submodule takes precedence over definition in surround package, for # compatibility with runtime semantics in typical use cases. This # could more precisely model runtime semantics by taking into account # the line number beyond which the local definition should take # precedence, but doesn't seem to be important in most use cases. node = SymbolTableNode(GDEF, self.modules[fullname]) else: if id == as_id == "__all__" and module_id in self.export_map: self.all_exports[:] = self.export_map[module_id] node = module.names.get(id) missing_submodule = False imported_id = as_id or id # Modules imported in a stub file without using 'from Y import X as X' will # not get exported. # When implicit re-exporting is disabled, we have the same behavior as stubs. use_implicit_reexport = not self.is_stub_file and self.options.implicit_reexport module_public = use_implicit_reexport or (as_id is not None and id == as_id) # If the module does not contain a symbol with the name 'id', # try checking if it's a module instead. if not node: mod = self.modules.get(fullname) if mod is not None: kind = self.current_symbol_kind() node = SymbolTableNode(kind, mod) elif fullname in self.missing_modules: missing_submodule = True # If it is still not resolved, check for a module level __getattr__ if module and not node and "__getattr__" in module.names: # We store the fullname of the original definition so that we can # detect whether two imported names refer to the same thing. fullname = module_id + "." + id gvar = self.create_getattr_var(module.names["__getattr__"], imported_id, fullname) if gvar: self.add_symbol( imported_id, gvar, imp, module_public=module_public, module_hidden=not module_public, ) continue if node: self.process_imported_symbol( node, module_id, id, imported_id, fullname, module_public, context=imp ) if node.module_hidden: self.report_missing_module_attribute( module_id, id, imported_id, module_public=module_public, module_hidden=not module_public, context=imp, add_unknown_imported_symbol=False, ) elif module and not missing_submodule: # Target module exists but the imported name is missing or hidden. self.report_missing_module_attribute( module_id, id, imported_id, module_public=module_public, module_hidden=not module_public, context=imp, ) else: # Import of a missing (sub)module. self.add_unknown_imported_symbol( imported_id, imp, target_name=fullname, module_public=module_public, module_hidden=not module_public, ) def process_imported_symbol( self, node: SymbolTableNode, module_id: str, id: str, imported_id: str, fullname: str, module_public: bool, context: ImportBase, ) -> None: module_hidden = not module_public and ( # `from package import submodule` should work regardless of whether package # re-exports submodule, so we shouldn't hide it not isinstance(node.node, MypyFile) or fullname not in self.modules # but given `from somewhere import random_unrelated_module` we should hide # random_unrelated_module or not fullname.startswith(self.cur_mod_id + ".") ) if isinstance(node.node, PlaceholderNode): if self.final_iteration: self.report_missing_module_attribute( module_id, id, imported_id, module_public=module_public, module_hidden=module_hidden, context=context, ) return else: # This might become a type. self.mark_incomplete( imported_id, node.node, module_public=module_public, module_hidden=module_hidden, becomes_typeinfo=True, ) # NOTE: we take the original node even for final `Var`s. This is to support # a common pattern when constants are re-exported (same applies to import *). self.add_imported_symbol( imported_id, node, context, module_public=module_public, module_hidden=module_hidden ) def report_missing_module_attribute( self, import_id: str, source_id: str, imported_id: str, module_public: bool, module_hidden: bool, context: Node, add_unknown_imported_symbol: bool = True, ) -> None: # Missing attribute. if self.is_incomplete_namespace(import_id): # We don't know whether the name will be there, since the namespace # is incomplete. Defer the current target. self.mark_incomplete( imported_id, context, module_public=module_public, module_hidden=module_hidden ) return message = f'Module "{import_id}" has no attribute "{source_id}"' # Suggest alternatives, if any match is found. module = self.modules.get(import_id) if module: if source_id in module.names.keys() and not module.names[source_id].module_public: message = ( f'Module "{import_id}" does not explicitly export attribute "{source_id}"' ) elif not ( self.options.ignore_errors or self.cur_mod_node.path in self.errors.ignored_files ): alternatives = set(module.names.keys()).difference({source_id}) matches = best_matches(source_id, alternatives, n=3) if matches: suggestion = f"; maybe {pretty_seq(matches, 'or')}?" message += f"{suggestion}" self.fail(message, context, code=codes.ATTR_DEFINED) if add_unknown_imported_symbol: self.add_unknown_imported_symbol( imported_id, context, target_name=None, module_public=module_public, module_hidden=not module_public, ) if import_id == "typing": # The user probably has a missing definition in a test fixture. Let's verify. fullname = f"builtins.{source_id.lower()}" if ( self.lookup_fully_qualified_or_none(fullname) is None and fullname in SUGGESTED_TEST_FIXTURES ): # Yes. Generate a helpful note. self.msg.add_fixture_note(fullname, context) else: typing_extensions = self.modules.get("typing_extensions") if typing_extensions and source_id in typing_extensions.names: self.msg.note( f"Use `from typing_extensions import {source_id}` instead", context, code=codes.ATTR_DEFINED, ) self.msg.note( "See https://mypy.readthedocs.io/en/stable/runtime_troubles.html#using-new-additions-to-the-typing-module", context, code=codes.ATTR_DEFINED, ) def process_import_over_existing_name( self, imported_id: str, existing_symbol: SymbolTableNode, module_symbol: SymbolTableNode, import_node: ImportBase, ) -> bool: if existing_symbol.node is module_symbol.node: # We added this symbol on previous iteration. return False if existing_symbol.kind in (LDEF, GDEF, MDEF) and isinstance( existing_symbol.node, (Var, FuncDef, TypeInfo, Decorator, TypeAlias) ): # This is a valid import over an existing definition in the file. Construct a dummy # assignment that we'll use to type check the import. lvalue = NameExpr(imported_id) lvalue.kind = existing_symbol.kind lvalue.node = existing_symbol.node rvalue = NameExpr(imported_id) rvalue.kind = module_symbol.kind rvalue.node = module_symbol.node if isinstance(rvalue.node, TypeAlias): # Suppress bogus errors from the dummy assignment if rvalue is an alias. # Otherwise mypy may complain that alias is invalid in runtime context. rvalue.is_alias_rvalue = True assignment = AssignmentStmt([lvalue], rvalue) for node in assignment, lvalue, rvalue: node.set_line(import_node) import_node.assignments.append(assignment) return True return False def correct_relative_import(self, node: ImportFrom | ImportAll) -> str: import_id, ok = correct_relative_import( self.cur_mod_id, node.relative, node.id, self.cur_mod_node.is_package_init_file() ) if not ok: self.fail("Relative import climbs too many namespaces", node) return import_id def visit_import_all(self, i: ImportAll) -> None: i_id = self.correct_relative_import(i) if i_id in self.modules: m = self.modules[i_id] if self.is_incomplete_namespace(i_id): # Any names could be missing from the current namespace if the target module # namespace is incomplete. self.mark_incomplete("*", i) for name, node in m.names.items(): fullname = i_id + "." + name self.set_future_import_flags(fullname) # if '__all__' exists, all nodes not included have had module_public set to # False, and we can skip checking '_' because it's been explicitly included. if node.module_public and (not name.startswith("_") or "__all__" in m.names): if isinstance(node.node, MypyFile): # Star import of submodule from a package, add it as a dependency. self.imports.add(node.node.fullname) # `from x import *` always reexports symbols self.add_imported_symbol( name, node, context=i, module_public=True, module_hidden=False ) else: # Don't add any dummy symbols for 'from x import *' if 'x' is unknown. pass # # Assignment # def visit_assignment_expr(self, s: AssignmentExpr) -> None: s.value.accept(self) if self.is_func_scope(): if not self.check_valid_comprehension(s): return self.analyze_lvalue(s.target, escape_comprehensions=True, has_explicit_value=True) def check_valid_comprehension(self, s: AssignmentExpr) -> bool: """Check that assignment expression is not nested within comprehension at class scope. class C: [(j := i) for i in [1, 2, 3]] is a syntax error that is not enforced by Python parser, but at later steps. """ for i, scope_type in enumerate(reversed(self.scope_stack)): if scope_type != SCOPE_COMPREHENSION and i < len(self.locals) - 1: if self.locals[-1 - i] is None: self.fail( "Assignment expression within a comprehension" " cannot be used in a class body", s, code=codes.SYNTAX, serious=True, blocker=True, ) return False break return True def visit_assignment_stmt(self, s: AssignmentStmt) -> None: self.statement = s # Special case assignment like X = X. if self.analyze_identity_global_assignment(s): return tag = self.track_incomplete_refs() # Here we have a chicken and egg problem: at this stage we can't call # can_be_type_alias(), because we have not enough information about rvalue. # But we can't use a full visit because it may emit extra incomplete refs (namely # when analysing any type applications there) thus preventing the further analysis. # To break the tie, we first analyse rvalue partially, if it can be a type alias. if self.can_possibly_be_type_form(s): old_basic_type_applications = self.basic_type_applications self.basic_type_applications = True with self.allow_unbound_tvars_set(): s.rvalue.accept(self) self.basic_type_applications = old_basic_type_applications elif self.can_possibly_be_typevarlike_declaration(s): # Allow unbound tvars inside TypeVarLike defaults to be evaluated later with self.allow_unbound_tvars_set(): s.rvalue.accept(self) else: s.rvalue.accept(self) if self.found_incomplete_ref(tag) or self.should_wait_rhs(s.rvalue): # Initializer couldn't be fully analyzed. Defer the current node and give up. # Make sure that if we skip the definition of some local names, they can't be # added later in this scope, since an earlier definition should take precedence. for expr in names_modified_by_assignment(s): self.mark_incomplete(expr.name, expr) return if self.can_possibly_be_type_form(s): # Now re-visit those rvalues that were we skipped type applications above. # This should be safe as generally semantic analyzer is idempotent. with self.allow_unbound_tvars_set(): s.rvalue.accept(self) # The r.h.s. is now ready to be classified, first check if it is a special form: special_form = False # * type alias if self.check_and_set_up_type_alias(s): s.is_alias_def = True special_form = True elif isinstance(s.rvalue, CallExpr): # * type variable definition if self.process_typevar_declaration(s): special_form = True elif self.process_paramspec_declaration(s): special_form = True elif self.process_typevartuple_declaration(s): special_form = True # * type constructors elif self.analyze_namedtuple_assign(s): special_form = True elif self.analyze_typeddict_assign(s): special_form = True elif self.newtype_analyzer.process_newtype_declaration(s): special_form = True elif self.analyze_enum_assign(s): special_form = True if special_form: self.record_special_form_lvalue(s) return # Clear the alias flag if assignment turns out not a special form after all. It # may be set to True while there were still placeholders due to forward refs. s.is_alias_def = False # OK, this is a regular assignment, perform the necessary analysis steps. s.is_final_def = self.unwrap_final(s) self.analyze_lvalues(s) self.check_final_implicit_def(s) self.store_final_status(s) self.check_classvar(s) self.process_type_annotation(s) self.analyze_rvalue_as_type_form(s) self.apply_dynamic_class_hook(s) if not s.type: self.process_module_assignment(s.lvalues, s.rvalue, s) self.process__all__(s) self.process__deletable__(s) self.process__slots__(s) def analyze_identity_global_assignment(self, s: AssignmentStmt) -> bool: """Special case 'X = X' in global scope. This allows supporting some important use cases. Return true if special casing was applied. """ if not isinstance(s.rvalue, NameExpr) or len(s.lvalues) != 1: # Not of form 'X = X' return False lvalue = s.lvalues[0] if not isinstance(lvalue, NameExpr) or s.rvalue.name != lvalue.name: # Not of form 'X = X' return False if self.type is not None or self.is_func_scope(): # Not in global scope return False # It's an assignment like 'X = X' in the global scope. name = lvalue.name sym = self.lookup(name, s) if sym is None: if self.final_iteration: # Fall back to normal assignment analysis. return False else: self.defer() return True else: if sym.node is None: # Something special -- fall back to normal assignment analysis. return False if name not in self.globals: # The name is from builtins. Add an alias to the current module. self.add_symbol(name, sym.node, s) if not isinstance(sym.node, PlaceholderNode): for node in s.rvalue, lvalue: node.node = sym.node node.kind = GDEF node.fullname = sym.node.fullname return True def should_wait_rhs(self, rv: Expression) -> bool: """Can we already classify this r.h.s. of an assignment or should we wait? This returns True if we don't have enough information to decide whether an assignment is just a normal variable definition or a special form. Always return False if this is a final iteration. This will typically cause the lvalue to be classified as a variable plus emit an error. """ if self.final_iteration: # No chance, nothing has changed. return False if isinstance(rv, NameExpr): n = self.lookup(rv.name, rv) if n and isinstance(n.node, PlaceholderNode) and not n.node.becomes_typeinfo: return True elif isinstance(rv, MemberExpr): fname = get_member_expr_fullname(rv) if fname: n = self.lookup_qualified(fname, rv, suppress_errors=True) if n and isinstance(n.node, PlaceholderNode) and not n.node.becomes_typeinfo: return True elif isinstance(rv, IndexExpr) and isinstance(rv.base, RefExpr): return self.should_wait_rhs(rv.base) elif isinstance(rv, CallExpr) and isinstance(rv.callee, RefExpr): # This is only relevant for builtin SCC where things like 'TypeVar' # may be not ready. return self.should_wait_rhs(rv.callee) return False def can_be_type_alias(self, rv: Expression, allow_none: bool = False) -> bool: """Is this a valid r.h.s. for an alias definition? Note: this function should be only called for expressions where self.should_wait_rhs() returns False. """ if isinstance(rv, RefExpr) and self.is_type_ref(rv, bare=True): return True if isinstance(rv, IndexExpr) and self.is_type_ref(rv.base, bare=False): return True if self.is_none_alias(rv): return True if allow_none and isinstance(rv, NameExpr) and rv.fullname == "builtins.None": return True if isinstance(rv, OpExpr) and rv.op == "|": if self.is_stub_file: return True if self.can_be_type_alias(rv.left, allow_none=True) and self.can_be_type_alias( rv.right, allow_none=True ): return True return False def can_possibly_be_type_form(self, s: AssignmentStmt) -> bool: """Like can_be_type_alias(), but simpler and doesn't require fully analyzed rvalue. Instead, use lvalues/annotations structure to figure out whether this can potentially be a type alias definition, NamedTuple, or TypedDict. Another difference from above function is that we are only interested IndexExpr, CallExpr and OpExpr rvalues, since only those can be potentially recursive (things like `A = A` are never valid). """ if len(s.lvalues) > 1: return False if isinstance(s.rvalue, CallExpr) and isinstance(s.rvalue.callee, RefExpr): ref = s.rvalue.callee.fullname return ref in TPDICT_NAMES or ref in TYPED_NAMEDTUPLE_NAMES if not isinstance(s.lvalues[0], NameExpr): return False if s.unanalyzed_type is not None and not self.is_pep_613(s): return False if not isinstance(s.rvalue, (IndexExpr, OpExpr)): return False # Something that looks like Foo = Bar[Baz, ...] return True def can_possibly_be_typevarlike_declaration(self, s: AssignmentStmt) -> bool: """Check if r.h.s. can be a TypeVarLike declaration.""" if len(s.lvalues) != 1 or not isinstance(s.lvalues[0], NameExpr): return False if not isinstance(s.rvalue, CallExpr) or not isinstance(s.rvalue.callee, NameExpr): return False ref = s.rvalue.callee ref.accept(self) return ref.fullname in TYPE_VAR_LIKE_NAMES def is_type_ref(self, rv: Expression, bare: bool = False) -> bool: """Does this expression refer to a type? This includes: * Special forms, like Any or Union * Classes (except subscripted enums) * Other type aliases * PlaceholderNodes with becomes_typeinfo=True (these can be not ready class definitions, and not ready aliases). If bare is True, this is not a base of an index expression, so some special forms are not valid (like a bare Union). Note: This method should be only used in context of a type alias definition. This method can only return True for RefExprs, to check if C[int] is a valid target for type alias call this method on expr.base (i.e. on C in C[int]). See also can_be_type_alias(). """ if not isinstance(rv, RefExpr): return False if isinstance(rv.node, TypeVarLikeExpr): self.fail(f'Type variable "{rv.fullname}" is invalid as target for type alias', rv) return False if bare: # These three are valid even if bare, for example # A = Tuple is just equivalent to A = Tuple[Any, ...]. valid_refs = {"typing.Any", "typing.Tuple", "typing.Callable"} else: valid_refs = type_constructors if isinstance(rv.node, TypeAlias) or rv.fullname in valid_refs: return True if isinstance(rv.node, TypeInfo): if bare: return True # Assignment color = Color['RED'] defines a variable, not an alias. return not rv.node.is_enum if isinstance(rv.node, Var): return rv.node.fullname in NEVER_NAMES if isinstance(rv, NameExpr): n = self.lookup(rv.name, rv) if n and isinstance(n.node, PlaceholderNode) and n.node.becomes_typeinfo: return True elif isinstance(rv, MemberExpr): fname = get_member_expr_fullname(rv) if fname: # The r.h.s. for variable definitions may not be a type reference but just # an instance attribute, so suppress the errors. n = self.lookup_qualified(fname, rv, suppress_errors=True) if n and isinstance(n.node, PlaceholderNode) and n.node.becomes_typeinfo: return True return False def is_none_alias(self, node: Expression) -> bool: """Is this a r.h.s. for a None alias? We special case the assignments like Void = type(None), to allow using Void in type annotations. """ if isinstance(node, CallExpr): if ( isinstance(node.callee, NameExpr) and len(node.args) == 1 and isinstance(node.args[0], NameExpr) ): call = self.lookup_qualified(node.callee.name, node.callee) arg = self.lookup_qualified(node.args[0].name, node.args[0]) if ( call is not None and call.node and call.node.fullname == "builtins.type" and arg is not None and arg.node and arg.node.fullname == "builtins.None" ): return True return False def record_special_form_lvalue(self, s: AssignmentStmt) -> None: """Record minimal necessary information about l.h.s. of a special form. This exists mostly for compatibility with the old semantic analyzer. """ lvalue = s.lvalues[0] assert isinstance(lvalue, NameExpr) lvalue.is_special_form = True if self.current_symbol_kind() == GDEF: lvalue.fullname = self.qualified_name(lvalue.name) lvalue.kind = self.current_symbol_kind() def analyze_enum_assign(self, s: AssignmentStmt) -> bool: """Check if s defines an Enum.""" if isinstance(s.rvalue, CallExpr) and isinstance(s.rvalue.analyzed, EnumCallExpr): # This is an analyzed enum definition. # It is valid iff it can be stored correctly, failures were already reported. return self._is_single_name_assignment(s) return self.enum_call_analyzer.process_enum_call(s, self.is_func_scope()) def analyze_namedtuple_assign(self, s: AssignmentStmt) -> bool: """Check if s defines a namedtuple.""" if isinstance(s.rvalue, CallExpr) and isinstance(s.rvalue.analyzed, NamedTupleExpr): if s.rvalue.analyzed.info.tuple_type and not has_placeholder( s.rvalue.analyzed.info.tuple_type ): # This is an analyzed named tuple definition. # It is valid iff it can be stored correctly, failures were already reported. return self._is_single_name_assignment(s) if len(s.lvalues) != 1 or not isinstance(s.lvalues[0], (NameExpr, MemberExpr)): return False lvalue = s.lvalues[0] if isinstance(lvalue, MemberExpr): if isinstance(s.rvalue, CallExpr) and isinstance(s.rvalue.callee, RefExpr): fullname = s.rvalue.callee.fullname if fullname == "collections.namedtuple" or fullname in TYPED_NAMEDTUPLE_NAMES: self.fail("NamedTuple type as an attribute is not supported", lvalue) return False name = lvalue.name namespace = self.qualified_name(name) with self.tvar_scope_frame(self.tvar_scope.class_frame(namespace)): internal_name, info, tvar_defs = self.named_tuple_analyzer.check_namedtuple( s.rvalue, name, self.is_func_scope() ) if internal_name is None: return False if internal_name != name: self.fail( 'First argument to namedtuple() should be "{}", not "{}"'.format( name, internal_name ), s.rvalue, code=codes.NAME_MATCH, ) return True # Yes, it's a valid namedtuple, but defer if it is not ready. if not info: self.mark_incomplete(name, lvalue, becomes_typeinfo=True) else: self.setup_type_vars(info.defn, tvar_defs) self.setup_alias_type_vars(info.defn) return True def analyze_typeddict_assign(self, s: AssignmentStmt) -> bool: """Check if s defines a typed dict.""" if isinstance(s.rvalue, CallExpr) and isinstance(s.rvalue.analyzed, TypedDictExpr): if s.rvalue.analyzed.info.typeddict_type and not has_placeholder( s.rvalue.analyzed.info.typeddict_type ): # This is an analyzed typed dict definition. # It is valid iff it can be stored correctly, failures were already reported. return self._is_single_name_assignment(s) if len(s.lvalues) != 1 or not isinstance(s.lvalues[0], (NameExpr, MemberExpr)): return False lvalue = s.lvalues[0] name = lvalue.name namespace = self.qualified_name(name) with self.tvar_scope_frame(self.tvar_scope.class_frame(namespace)): is_typed_dict, info, tvar_defs = self.typed_dict_analyzer.check_typeddict( s.rvalue, name, self.is_func_scope() ) if not is_typed_dict: return False if isinstance(lvalue, MemberExpr): self.fail("TypedDict type as attribute is not supported", lvalue) return False # Yes, it's a valid typed dict, but defer if it is not ready. if not info: self.mark_incomplete(name, lvalue, becomes_typeinfo=True) else: defn = info.defn self.setup_type_vars(defn, tvar_defs) self.setup_alias_type_vars(defn) return True def _is_single_name_assignment(self, s: AssignmentStmt) -> bool: return len(s.lvalues) == 1 and isinstance(s.lvalues[0], NameExpr) def analyze_lvalues(self, s: AssignmentStmt) -> None: # We cannot use s.type, because analyze_simple_literal_type() will set it. explicit = s.unanalyzed_type is not None if self.is_final_type(s.unanalyzed_type): # We need to exclude bare Final. assert isinstance(s.unanalyzed_type, UnboundType) if not s.unanalyzed_type.args: explicit = False if s.rvalue: if isinstance(s.rvalue, TempNode): has_explicit_value = not s.rvalue.no_rhs else: has_explicit_value = True else: has_explicit_value = False for lval in s.lvalues: self.analyze_lvalue( lval, explicit_type=explicit, is_final=s.is_final_def, has_explicit_value=has_explicit_value, ) def analyze_rvalue_as_type_form(self, s: AssignmentStmt) -> None: if TYPE_FORM in self.options.enable_incomplete_feature: self.try_parse_as_type_expression(s.rvalue) def apply_dynamic_class_hook(self, s: AssignmentStmt) -> None: if not isinstance(s.rvalue, CallExpr): return fname = "" call = s.rvalue while True: if isinstance(call.callee, RefExpr): fname = call.callee.fullname # check if method call if not fname and isinstance(call.callee, MemberExpr): callee_expr = call.callee.expr if isinstance(callee_expr, RefExpr) and callee_expr.fullname: method_name = call.callee.name fname = callee_expr.fullname + "." + method_name elif ( isinstance(callee_expr, IndexExpr) and isinstance(callee_expr.base, RefExpr) and isinstance(callee_expr.analyzed, TypeApplication) ): method_name = call.callee.name fname = callee_expr.base.fullname + "." + method_name elif isinstance(callee_expr, CallExpr): # check if chain call call = callee_expr continue break if not fname: return hook = self.plugin.get_dynamic_class_hook(fname) if not hook: return for lval in s.lvalues: if not isinstance(lval, NameExpr): continue hook(DynamicClassDefContext(call, lval.name, self)) def unwrap_final(self, s: AssignmentStmt) -> bool: """Strip Final[...] if present in an assignment. This is done to invoke type inference during type checking phase for this assignment. Also, Final[...] doesn't affect type in any way -- it is rather an access qualifier for given `Var`. Also perform various consistency checks. Returns True if Final[...] was present. """ if not s.unanalyzed_type or not self.is_final_type(s.unanalyzed_type): return False assert isinstance(s.unanalyzed_type, UnboundType) if len(s.unanalyzed_type.args) > 1: self.fail("Final[...] takes at most one type argument", s.unanalyzed_type) invalid_bare_final = False if not s.unanalyzed_type.args: s.type = None if ( isinstance(s.rvalue, TempNode) and s.rvalue.no_rhs # Filter duplicate errors, we already reported this: and not (self.type and self.type.is_named_tuple) ): invalid_bare_final = True self.fail("Type in Final[...] can only be omitted if there is an initializer", s) else: s.type = s.unanalyzed_type.args[0] if ( s.type is not None and self.options.python_version < (3, 13) and self.is_classvar(s.type) ): self.fail("Variable should not be annotated with both ClassVar and Final", s) return False if len(s.lvalues) != 1 or not isinstance(s.lvalues[0], RefExpr): self.fail("Invalid final declaration", s) return False lval = s.lvalues[0] assert isinstance(lval, RefExpr) # Reset inferred status if it was set due to simple literal rvalue on previous iteration. # TODO: this is a best-effort quick fix, we should avoid the need to manually sync this, # see https://github.com/python/mypy/issues/6458. if lval.is_new_def: lval.is_inferred_def = s.type is None if self.loop_depth[-1] > 0: self.fail("Cannot use Final inside a loop", s) if self.type and self.type.is_protocol: if self.is_class_scope(): self.msg.protocol_members_cant_be_final(s) if ( isinstance(s.rvalue, TempNode) and s.rvalue.no_rhs and not self.is_stub_file and not self.is_class_scope() ): if not invalid_bare_final: # Skip extra error messages. self.msg.final_without_value(s) return True def check_final_implicit_def(self, s: AssignmentStmt) -> None: """Do basic checks for final declaration on self in __init__. Additional re-definition checks are performed by `analyze_lvalue`. """ if not s.is_final_def: return lval = s.lvalues[0] assert isinstance(lval, RefExpr) if isinstance(lval, MemberExpr): if not self.is_self_member_ref(lval): self.fail("Final can be only applied to a name or an attribute on self", s) s.is_final_def = False return else: assert self.function_stack if self.function_stack[-1].name != "__init__": self.fail("Can only declare a final attribute in class body or __init__", s) s.is_final_def = False return def store_final_status(self, s: AssignmentStmt) -> None: """If this is a locally valid final declaration, set the corresponding flag on `Var`.""" if s.is_final_def: if len(s.lvalues) == 1 and isinstance(s.lvalues[0], RefExpr): node = s.lvalues[0].node if isinstance(node, Var): node.is_final = True if s.type: node.final_value = constant_fold_expr(s.rvalue, self.cur_mod_id) if self.is_class_scope() and ( isinstance(s.rvalue, TempNode) and s.rvalue.no_rhs ): node.final_unset_in_class = True else: for lval in self.flatten_lvalues(s.lvalues): # Special case: we are working with an `Enum`: # # class MyEnum(Enum): # key = 'some value' # # Here `key` is implicitly final. In runtime, code like # # MyEnum.key = 'modified' # # will fail with `AttributeError: Cannot reassign members.` # That's why we need to replicate this. if ( isinstance(lval, NameExpr) and isinstance(self.type, TypeInfo) and self.type.is_enum ): cur_node = self.type.names.get(lval.name, None) if ( cur_node and isinstance(cur_node.node, Var) and not (isinstance(s.rvalue, TempNode) and s.rvalue.no_rhs) ): # Double underscored members are writable on an `Enum`. # (Except read-only `__members__` but that is handled in type checker) cur_node.node.is_final = s.is_final_def = not is_dunder(cur_node.node.name) # Special case: deferred initialization of a final attribute in __init__. # In this case we just pretend this is a valid final definition to suppress # errors about assigning to final attribute. if isinstance(lval, MemberExpr) and self.is_self_member_ref(lval): assert self.type, "Self member outside a class" cur_node = self.type.names.get(lval.name, None) if cur_node and isinstance(cur_node.node, Var) and cur_node.node.is_final: assert self.function_stack current_function = self.function_stack[-1] if ( current_function.name == "__init__" and cur_node.node.final_unset_in_class and not cur_node.node.final_set_in_init and not (isinstance(s.rvalue, TempNode) and s.rvalue.no_rhs) ): cur_node.node.final_set_in_init = True s.is_final_def = True def flatten_lvalues(self, lvalues: list[Expression]) -> list[Expression]: res: list[Expression] = [] for lv in lvalues: if isinstance(lv, (TupleExpr, ListExpr)): res.extend(self.flatten_lvalues(lv.items)) else: res.append(lv) return res def process_type_annotation(self, s: AssignmentStmt) -> None: """Analyze type annotation or infer simple literal type.""" if s.type: lvalue = s.lvalues[-1] allow_tuple_literal = isinstance(lvalue, TupleExpr) analyzed = self.anal_type(s.type, allow_tuple_literal=allow_tuple_literal) # Don't store not ready types (including placeholders). if analyzed is None or has_placeholder(analyzed): self.defer(s) return s.type = analyzed if ( self.type and self.type.is_protocol and isinstance(lvalue, NameExpr) and isinstance(s.rvalue, TempNode) and s.rvalue.no_rhs ): if isinstance(lvalue.node, Var): lvalue.node.is_abstract_var = True else: if ( self.type and self.type.is_protocol and self.is_annotated_protocol_member(s) and not self.is_func_scope() ): self.fail("All protocol members must have explicitly declared types", s) # Set the type if the rvalue is a simple literal (even if the above error occurred). if len(s.lvalues) == 1 and isinstance(s.lvalues[0], RefExpr): ref_expr = s.lvalues[0] safe_literal_inference = True if self.type and isinstance(ref_expr, NameExpr) and len(self.type.mro) > 1: # Check if there is a definition in supertype. If yes, we can't safely # decide here what to infer: int or Literal[42]. safe_literal_inference = self.type.mro[1].get(ref_expr.name) is None if safe_literal_inference and ref_expr.is_inferred_def: s.type = self.analyze_simple_literal_type(s.rvalue, s.is_final_def) if s.type: # Store type into nodes. for lvalue in s.lvalues: self.store_declared_types(lvalue, s.type) def is_annotated_protocol_member(self, s: AssignmentStmt) -> bool: """Check whether a protocol member is annotated. There are some exceptions that can be left unannotated, like ``__slots__``.""" return any( (isinstance(lv, NameExpr) and lv.name != "__slots__" and lv.is_inferred_def) for lv in s.lvalues ) def analyze_simple_literal_type(self, rvalue: Expression, is_final: bool) -> Type | None: """Return builtins.int if rvalue is an int literal, etc. If this is a 'Final' context, we return "Literal[...]" instead. """ if self.function_stack: # Skip inside a function; this is to avoid confusing # the code that handles dead code due to isinstance() # inside type variables with value restrictions (like # AnyStr). return None value = constant_fold_expr(rvalue, self.cur_mod_id) if value is None or isinstance(value, complex): return None if isinstance(value, bool): type_name = "builtins.bool" elif isinstance(value, int): type_name = "builtins.int" elif isinstance(value, str): type_name = "builtins.str" elif isinstance(value, float): type_name = "builtins.float" typ = self.named_type_or_none(type_name) if typ and is_final: return typ.copy_modified(last_known_value=LiteralType(value=value, fallback=typ)) return typ def analyze_alias( self, name: str, rvalue: Expression, allow_placeholder: bool = False, declared_type_vars: TypeVarLikeList | None = None, all_declared_type_params_names: list[str] | None = None, python_3_12_type_alias: bool = False, ) -> tuple[Type | None, list[TypeVarLikeType], set[str], bool]: """Check if 'rvalue' is a valid type allowed for aliasing (e.g. not a type variable). If yes, return the corresponding type, a list of type variables for generic aliases, a set of names the alias depends on, and True if the original type has empty tuple index. An example for the dependencies: A = int B = str analyze_alias(dict[A, B])[2] == {'__main__.A', '__main__.B'} """ dynamic = bool(self.function_stack and self.function_stack[-1].is_dynamic()) global_scope = not self.type and not self.function_stack try: typ = expr_to_unanalyzed_type( rvalue, self.options, self.is_stub_file, lookup_qualified=self.lookup_qualified ) except TypeTranslationError: self.fail( "Invalid type alias: expression is not a valid type", rvalue, code=codes.VALID_TYPE ) return None, [], set(), False found_type_vars = self.find_type_var_likes(typ) namespace = self.qualified_name(name) alias_type_vars = found_type_vars if declared_type_vars is None else declared_type_vars with self.tvar_scope_frame(self.tvar_scope.class_frame(namespace)): tvar_defs = self.tvar_defs_from_tvars(alias_type_vars, typ) if python_3_12_type_alias: with self.allow_unbound_tvars_set(): rvalue.accept(self) analyzed, depends_on = analyze_type_alias( typ, self, self.tvar_scope, self.plugin, self.options, self.cur_mod_node, self.is_typeshed_stub_file, allow_placeholder=allow_placeholder, in_dynamic_func=dynamic, global_scope=global_scope, allowed_alias_tvars=tvar_defs, alias_type_params_names=all_declared_type_params_names, python_3_12_type_alias=python_3_12_type_alias, ) # There can be only one variadic variable at most, the error is reported elsewhere. new_tvar_defs = [] variadic = False for td in tvar_defs: if isinstance(td, TypeVarTupleType): if variadic: continue variadic = True new_tvar_defs.append(td) empty_tuple_index = typ.empty_tuple_index if isinstance(typ, UnboundType) else False return analyzed, new_tvar_defs, depends_on, empty_tuple_index def is_pep_613(self, s: AssignmentStmt) -> bool: if s.unanalyzed_type is not None and isinstance(s.unanalyzed_type, UnboundType): lookup = self.lookup_qualified(s.unanalyzed_type.name, s, suppress_errors=True) if lookup and lookup.fullname in TYPE_ALIAS_NAMES: return True return False def check_and_set_up_type_alias(self, s: AssignmentStmt) -> bool: """Check if assignment creates a type alias and set it up as needed. Return True if it is a type alias (even if the target is not ready), or False otherwise. Note: the resulting types for subscripted (including generic) aliases are also stored in rvalue.analyzed. """ if s.invalid_recursive_alias: return True lvalue = s.lvalues[0] if len(s.lvalues) > 1 or not isinstance(lvalue, NameExpr): # First rule: Only simple assignments like Alias = ... create aliases. return False pep_613 = self.is_pep_613(s) if not pep_613 and s.unanalyzed_type is not None: # Second rule: Explicit type (cls: Type[A] = A) always creates variable, not alias. # unless using PEP 613 `cls: TypeAlias = A` return False # It can be `A = TypeAliasType('A', ...)` call, in this case, # we just take the second argument and analyze it: type_params: TypeVarLikeList | None all_type_params_names: list[str] | None if self.check_type_alias_type_call(s.rvalue, name=lvalue.name): rvalue = s.rvalue.args[1] pep_695 = True type_params, all_type_params_names = self.analyze_type_alias_type_params(s.rvalue) else: rvalue = s.rvalue pep_695 = False type_params = None all_type_params_names = None if isinstance(rvalue, CallExpr) and rvalue.analyzed: return False existing = self.current_symbol_table().get(lvalue.name) # Third rule: type aliases can't be re-defined. For example: # A: Type[float] = int # A = float # OK, but this doesn't define an alias # B = int # B = float # Error! # Don't create an alias in these cases: if existing and ( isinstance(existing.node, Var) # existing variable or (isinstance(existing.node, TypeAlias) and not s.is_alias_def) # existing alias or (isinstance(existing.node, PlaceholderNode) and existing.node.node.line < s.line) ): # previous incomplete definition # TODO: find a more robust way to track the order of definitions. # Note: if is_alias_def=True, this is just a node from previous iteration. if isinstance(existing.node, TypeAlias) and not s.is_alias_def: self.fail( 'Cannot assign multiple types to name "{}"' ' without an explicit "type[...]" annotation'.format(lvalue.name), lvalue, ) return False non_global_scope = self.type or self.is_func_scope() if not pep_613 and not pep_695 and isinstance(rvalue, RefExpr) and non_global_scope: # Fourth rule (special case): Non-subscripted right hand side creates a variable # at class and function scopes. For example: # # class Model: # ... # class C: # model = Model # this is automatically a variable with type 'Type[Model]' # # without this rule, this typical use case will require a lot of explicit # annotations (see the second rule). return False if not pep_613 and not pep_695 and not self.can_be_type_alias(rvalue): return False if existing and not isinstance(existing.node, (PlaceholderNode, TypeAlias)): # Cannot redefine existing node as type alias. return False res: Type | None = None if self.is_none_alias(rvalue): res = NoneType() alias_tvars: list[TypeVarLikeType] = [] depends_on: set[str] = set() empty_tuple_index = False else: tag = self.track_incomplete_refs() res, alias_tvars, depends_on, empty_tuple_index = self.analyze_alias( lvalue.name, rvalue, allow_placeholder=True, declared_type_vars=type_params, all_declared_type_params_names=all_type_params_names, ) if not res: return False if not self.is_func_scope(): # Only marking incomplete for top-level placeholders makes recursive aliases like # `A = Sequence[str | A]` valid here, similar to how we treat base classes in class # definitions, allowing `class str(Sequence[str]): ...` incomplete_target = isinstance(res, ProperType) and isinstance( res, PlaceholderType ) else: incomplete_target = has_placeholder(res) if self.found_incomplete_ref(tag) or incomplete_target: # Since we have got here, we know this must be a type alias (incomplete refs # may appear in nested positions), therefore use becomes_typeinfo=True. self.mark_incomplete(lvalue.name, rvalue, becomes_typeinfo=True) return True self.add_type_alias_deps(depends_on) check_for_explicit_any(res, self.options, self.is_typeshed_stub_file, self.msg, context=s) # When this type alias gets "inlined", the Any is not explicit anymore, # so we need to replace it with non-explicit Anys. res = make_any_non_explicit(res) if self.options.disallow_any_unimported and has_any_from_unimported_type(res): # Only show error message once, when the type is fully analyzed. if not has_placeholder(res): self.msg.unimported_type_becomes_any("Type alias target", res, s) res = make_any_non_unimported(res) # Note: with the new (lazy) type alias representation we only need to set no_args to True # if the expected number of arguments is non-zero, so that aliases like `A = List` work # but not aliases like `A = TypeAliasType("A", List)` as these need explicit type params. # However, eagerly expanding aliases like Text = str is a nice performance optimization. no_args = ( isinstance(res, ProperType) and isinstance(res, Instance) and not res.args and not empty_tuple_index and not pep_695 ) if isinstance(res, ProperType) and isinstance(res, Instance): if not validate_instance(res, self.fail, empty_tuple_index): fix_instance(res, self.fail, self.note, disallow_any=False, options=self.options) # Aliases defined within functions can't be accessed outside # the function, since the symbol table will no longer # exist. Work around by expanding them eagerly when used. eager = self.is_func_scope() alias_node = TypeAlias( res, self.qualified_name(lvalue.name), self.cur_mod_id, s.line, s.column, alias_tvars=alias_tvars, no_args=no_args, eager=eager, python_3_12_type_alias=pep_695, ) if isinstance(s.rvalue, (IndexExpr, CallExpr, OpExpr)) and ( not isinstance(rvalue, OpExpr) or (self.options.python_version >= (3, 10) or self.is_stub_file) ): # Note: CallExpr is for "void = type(None)" and OpExpr is for "X | Y" union syntax. if not isinstance(s.rvalue.analyzed, TypeAliasExpr): # Any existing node will be updated in-place below. s.rvalue.analyzed = TypeAliasExpr(alias_node) s.rvalue.analyzed.line = s.line # we use the column from resulting target, to get better location for errors s.rvalue.analyzed.column = res.column elif isinstance(s.rvalue, RefExpr): s.rvalue.is_alias_rvalue = True if existing: # An alias gets updated. updated = False if isinstance(existing.node, TypeAlias): if existing.node.target != res: # Copy expansion to the existing alias, this matches how we update base classes # for a TypeInfo _in place_ if there are nested placeholders. existing.node.target = res existing.node.alias_tvars = alias_tvars existing.node.no_args = no_args updated = True # Invalidate recursive status cache in case it was previously set. existing.node._is_recursive = None else: # Otherwise just replace existing placeholder with type alias. existing.node = alias_node updated = True if updated: if self.final_iteration: self.cannot_resolve_name(lvalue.name, "name", s) return True else: # We need to defer so that this change can get propagated to base classes. self.defer(s, force_progress=True) else: self.add_symbol(lvalue.name, alias_node, s) if isinstance(rvalue, RefExpr) and isinstance(rvalue.node, TypeAlias): alias_node.normalized = rvalue.node.normalized current_node = existing.node if existing else alias_node assert isinstance(current_node, TypeAlias) self.disable_invalid_recursive_aliases(s, current_node, s.rvalue) if self.is_class_scope(): assert self.type is not None if self.type.is_protocol: self.fail("Type aliases are prohibited in protocol bodies", s) if not lvalue.name[0].isupper(): self.note("Use variable annotation syntax to define protocol members", s) return True def check_type_alias_type_call(self, rvalue: Expression, *, name: str) -> TypeGuard[CallExpr]: if not isinstance(rvalue, CallExpr): return False names = ["typing_extensions.TypeAliasType"] if self.options.python_version >= (3, 12): names.append("typing.TypeAliasType") if not refers_to_fullname(rvalue.callee, tuple(names)): return False if not self.check_typevarlike_name(rvalue, name, rvalue): return False if rvalue.arg_kinds.count(ARG_POS) != 2: return False return True def analyze_type_alias_type_params( self, rvalue: CallExpr ) -> tuple[TypeVarLikeList, list[str]]: """Analyze type_params of TypeAliasType. Returns declared unbound type variable expressions and a list of all declared type variable names for error reporting. """ if "type_params" in rvalue.arg_names: type_params_arg = rvalue.args[rvalue.arg_names.index("type_params")] if not isinstance(type_params_arg, TupleExpr): self.fail( "Tuple literal expected as the type_params argument to TypeAliasType", type_params_arg, ) return [], [] type_params = type_params_arg.items else: return [], [] declared_tvars: TypeVarLikeList = [] all_declared_tvar_names: list[str] = [] # includes bound type variables have_type_var_tuple = False for tp_expr in type_params: if isinstance(tp_expr, StarExpr): tp_expr.valid = False self.analyze_type_expr(tp_expr) try: base = self.expr_to_unanalyzed_type(tp_expr) except TypeTranslationError: continue if not isinstance(base, UnboundType): continue tag = self.track_incomplete_refs() tvar = self.analyze_unbound_tvar_impl(base, is_typealias_param=True) if tvar: if isinstance(tvar[1], TypeVarTupleExpr): if have_type_var_tuple: self.fail( "Can only use one TypeVarTuple in type_params argument to TypeAliasType", base, code=codes.TYPE_VAR, ) have_type_var_tuple = True continue have_type_var_tuple = True elif not self.found_incomplete_ref(tag): sym = self.lookup_qualified(base.name, base) if sym and isinstance(sym.node, TypeVarLikeExpr): all_declared_tvar_names.append(sym.node.name) # Error will be reported later else: self.fail( "Free type variable expected in type_params argument to TypeAliasType", base, code=codes.TYPE_VAR, ) if sym and sym.fullname in UNPACK_TYPE_NAMES: self.note( "Don't Unpack type variables in type_params", base, code=codes.TYPE_VAR ) continue if tvar in declared_tvars: self.fail( f'Duplicate type variable "{tvar[0]}" in type_params argument to TypeAliasType', base, code=codes.TYPE_VAR, ) continue if tvar: all_declared_tvar_names.append(tvar[0]) declared_tvars.append(tvar) return declared_tvars, all_declared_tvar_names def disable_invalid_recursive_aliases( self, s: AssignmentStmt | TypeAliasStmt, current_node: TypeAlias, ctx: Context ) -> None: """Prohibit and fix recursive type aliases that are invalid/unsupported.""" messages = [] if ( isinstance(current_node.target, TypeAliasType) and current_node.target.alias is current_node ): # We want to have consistent error messages, but not calling name_not_defined(), # since it will do a bunch of unrelated things we don't want here. messages.append( f'Cannot resolve name "{current_node.name}" (possible cyclic definition)' ) elif is_invalid_recursive_alias({current_node}, current_node.target): target = ( "tuple" if isinstance(get_proper_type(current_node.target), TupleType) else "union" ) messages.append(f"Invalid recursive alias: a {target} item of itself") if detect_diverging_alias( current_node, current_node.target, self.lookup_qualified, self.tvar_scope ): messages.append("Invalid recursive alias: type variable nesting on right hand side") if messages: current_node.target = AnyType(TypeOfAny.from_error) s.invalid_recursive_alias = True for msg in messages: self.fail(msg, ctx) def analyze_lvalue( self, lval: Lvalue, nested: bool = False, explicit_type: bool = False, is_final: bool = False, escape_comprehensions: bool = False, has_explicit_value: bool = False, is_index_var: bool = False, ) -> None: """Analyze an lvalue or assignment target. Args: lval: The target lvalue nested: If true, the lvalue is within a tuple or list lvalue expression explicit_type: Assignment has type annotation escape_comprehensions: If we are inside a comprehension, set the variable in the enclosing scope instead. This implements https://www.python.org/dev/peps/pep-0572/#scope-of-the-target is_index_var: If lval is the index variable in a for loop """ if escape_comprehensions: assert isinstance(lval, NameExpr), "assignment expression target must be NameExpr" if isinstance(lval, NameExpr): self.analyze_name_lvalue( lval, explicit_type, is_final, escape_comprehensions, has_explicit_value=has_explicit_value, is_index_var=is_index_var, ) elif isinstance(lval, MemberExpr): self.analyze_member_lvalue(lval, explicit_type, is_final, has_explicit_value) if explicit_type and not self.is_self_member_ref(lval): self.fail("Type cannot be declared in assignment to non-self attribute", lval) elif isinstance(lval, IndexExpr): if explicit_type: self.fail("Unexpected type declaration", lval) lval.accept(self) elif isinstance(lval, TupleExpr): self.analyze_tuple_or_list_lvalue(lval, explicit_type) elif isinstance(lval, StarExpr): if nested: self.analyze_lvalue(lval.expr, nested, explicit_type) else: self.fail("Starred assignment target must be in a list or tuple", lval) else: self.fail("Invalid assignment target", lval) def analyze_name_lvalue( self, lvalue: NameExpr, explicit_type: bool, is_final: bool, escape_comprehensions: bool, has_explicit_value: bool, is_index_var: bool, ) -> None: """Analyze an lvalue that targets a name expression. Arguments are similar to "analyze_lvalue". """ if lvalue.node: # This has been bound already in a previous iteration. return name = lvalue.name if self.is_alias_for_final_name(name): if is_final: self.fail("Cannot redefine an existing name as final", lvalue) else: self.msg.cant_assign_to_final(name, self.type is not None, lvalue) kind = self.current_symbol_kind() names = self.current_symbol_table(escape_comprehensions=escape_comprehensions) existing = names.get(name) outer = self.is_global_or_nonlocal(name) if ( kind == MDEF and isinstance(self.type, TypeInfo) and self.type.is_enum and not name.startswith("__") ): # Special case: we need to be sure that `Enum` keys are unique. if existing is not None and not isinstance(existing.node, PlaceholderNode): self.fail( 'Attempted to reuse member name "{}" in Enum definition "{}"'.format( name, self.type.name ), lvalue, ) if explicit_type and has_explicit_value: self.fail("Enum members must be left unannotated", lvalue) self.note( "See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members", lvalue, ) if (not existing or isinstance(existing.node, PlaceholderNode)) and not outer: # Define new variable. var = self.make_name_lvalue_var( lvalue, kind, not explicit_type, has_explicit_value, is_index_var ) added = self.add_symbol(name, var, lvalue, escape_comprehensions=escape_comprehensions) # Only bind expression if we successfully added name to symbol table. if added: lvalue.is_new_def = True lvalue.is_inferred_def = True lvalue.kind = kind lvalue.node = var if kind == GDEF: lvalue.fullname = var._fullname else: lvalue.fullname = lvalue.name if self.is_func_scope(): if unmangle(name) == "_" and not self.options.allow_redefinition_new: # Special case for assignment to local named '_': always infer 'Any'. # This isn't needed with --allow-redefinition-new, since arbitrary # types can be assigned to '_' anyway. typ = AnyType(TypeOfAny.special_form) self.store_declared_types(lvalue, typ) if is_final and self.is_final_redefinition(kind, name): self.fail("Cannot redefine an existing name as final", lvalue) else: self.make_name_lvalue_point_to_existing_def(lvalue, explicit_type, is_final) def is_final_redefinition(self, kind: int, name: str) -> bool: if kind == GDEF: return self.is_mangled_global(name) and not self.is_initial_mangled_global(name) elif kind == MDEF and self.type: return unmangle(name) + "'" in self.type.names return False def is_alias_for_final_name(self, name: str) -> bool: if self.is_func_scope(): if not name.endswith("'"): # Not a mangled name -- can't be an alias return False name = unmangle(name) assert self.locals[-1] is not None, "No locals at function scope" existing = self.locals[-1].get(name) return existing is not None and is_final_node(existing.node) elif self.type is not None: orig_name = unmangle(name) + "'" if name == orig_name: return False existing = self.type.names.get(orig_name) return existing is not None and is_final_node(existing.node) else: orig_name = unmangle(name) + "'" if name == orig_name: return False existing = self.globals.get(orig_name) return existing is not None and is_final_node(existing.node) def make_name_lvalue_var( self, lvalue: NameExpr, kind: int, inferred: bool, has_explicit_value: bool, is_index_var: bool, ) -> Var: """Return a Var node for an lvalue that is a name expression.""" name = lvalue.name v = Var(name) v.set_line(lvalue) v.is_inferred = inferred if kind == MDEF: assert self.type is not None v.info = self.type v.is_initialized_in_class = True v.allow_incompatible_override = name in ALLOW_INCOMPATIBLE_OVERRIDE if kind != LDEF: v._fullname = self.qualified_name(name) else: # fullname should never stay None v._fullname = name v.is_ready = False # Type not inferred yet v.has_explicit_value = has_explicit_value v.is_index_var = is_index_var return v def make_name_lvalue_point_to_existing_def( self, lval: NameExpr, explicit_type: bool, is_final: bool ) -> None: """Update an lvalue to point to existing definition in the same scope. Arguments are similar to "analyze_lvalue". Assume that an existing name exists. """ if is_final: # Redefining an existing name with final is always an error. self.fail("Cannot redefine an existing name as final", lval) original_def = self.lookup(lval.name, lval, suppress_errors=True) if original_def is None and self.type and not self.is_func_scope(): # Workaround to allow "x, x = ..." in class body. original_def = self.type.get(lval.name) if explicit_type: # Don't re-bind if there is a type annotation. self.name_already_defined(lval.name, lval, original_def) else: # Bind to an existing name. if original_def: self.bind_name_expr(lval, original_def) else: self.name_not_defined(lval.name, lval) self.check_lvalue_validity(lval.node, lval) def analyze_tuple_or_list_lvalue(self, lval: TupleExpr, explicit_type: bool = False) -> None: """Analyze an lvalue or assignment target that is a list or tuple.""" items = lval.items star_exprs = [item for item in items if isinstance(item, StarExpr)] if len(star_exprs) > 1: self.fail("Two starred expressions in assignment", lval) else: if len(star_exprs) == 1: star_exprs[0].valid = True for i in items: self.analyze_lvalue( lval=i, nested=True, explicit_type=explicit_type, # Lists and tuples always have explicit values defined: # `a, b, c = value` has_explicit_value=True, ) def analyze_member_lvalue( self, lval: MemberExpr, explicit_type: bool, is_final: bool, has_explicit_value: bool ) -> None: """Analyze lvalue that is a member expression. Arguments: lval: The target lvalue explicit_type: Assignment has type annotation is_final: Is the target final """ if lval.node: # This has been bound already in a previous iteration. return lval.accept(self) if self.is_self_member_ref(lval): assert self.type, "Self member outside a class" cur_node = self.type.names.get(lval.name) node = self.type.get(lval.name) if cur_node and is_final: # Overrides will be checked in type checker. self.fail("Cannot redefine an existing name as final", lval) # On first encounter with this definition, if this attribute was defined before # with an inferred type and it's marked with an explicit type now, give an error. if ( not lval.node and cur_node and isinstance(cur_node.node, Var) and cur_node.node.is_inferred and explicit_type ): self.attribute_already_defined(lval.name, lval, cur_node) if self.type.is_protocol and has_explicit_value and cur_node is not None: # Make this variable non-abstract, it would be safer to do this only if we # are inside __init__, but we do this always to preserve historical behaviour. if isinstance(cur_node.node, Var): cur_node.node.is_abstract_var = False if ( # If the attribute of self is not defined, create a new Var, ... node is None # ... or if it is defined as abstract in a *superclass*. or (cur_node is None and isinstance(node.node, Var) and node.node.is_abstract_var) # ... also an explicit declaration on self also creates a new Var. # Note that `explicit_type` might have been erased for bare `Final`, # so we also check if `is_final` is passed. or (cur_node is None and (explicit_type or is_final)) ): if self.type.is_protocol and node is None: self.fail("Protocol members cannot be defined via assignment to self", lval) else: # Implicit attribute definition in __init__. lval.is_new_def = True lval.is_inferred_def = True v = Var(lval.name) v.set_line(lval) v._fullname = self.qualified_name(lval.name) v.info = self.type v.is_ready = False v.explicit_self_type = explicit_type or is_final lval.def_var = v lval.node = v # TODO: should we also set lval.kind = MDEF? self.type.names[lval.name] = SymbolTableNode(MDEF, v, implicit=True) for func in self.scope.functions: if isinstance(func, FuncDef): func.has_self_attr_def = True self.check_lvalue_validity(lval.node, lval) def is_self_member_ref(self, memberexpr: MemberExpr) -> bool: """Does memberexpr to refer to an attribute of self?""" if not isinstance(memberexpr.expr, NameExpr): return False node = memberexpr.expr.node return isinstance(node, Var) and node.is_self def check_lvalue_validity(self, node: Expression | SymbolNode | None, ctx: Context) -> None: if isinstance(node, TypeVarExpr): self.fail("Invalid assignment target", ctx) elif isinstance(node, TypeInfo): self.fail(message_registry.CANNOT_ASSIGN_TO_TYPE, ctx) def store_declared_types(self, lvalue: Lvalue, typ: Type) -> None: if isinstance(lvalue, RefExpr): lvalue.is_inferred_def = False if isinstance(lvalue.node, Var): var = lvalue.node var.type = typ var.is_ready = True typ = get_proper_type(typ) if ( var.is_final and isinstance(typ, Instance) and typ.last_known_value and (not self.type or not self.type.is_enum) ): var.final_value = typ.last_known_value.value # If node is not a variable, we'll catch it elsewhere. elif isinstance(lvalue, TupleExpr): typ = get_proper_type(typ) if isinstance(typ, TupleType): if len(lvalue.items) != len(typ.items): self.fail("Incompatible number of tuple items", lvalue) return for item, itemtype in zip(lvalue.items, typ.items): self.store_declared_types(item, itemtype) else: self.fail("Tuple type expected for multiple variables", lvalue) elif isinstance(lvalue, StarExpr): # Historical behavior for the old parser self.store_declared_types(lvalue.expr, typ) else: # This has been flagged elsewhere as an error, so just ignore here. pass def process_typevar_declaration(self, s: AssignmentStmt) -> bool: """Check if s declares a TypeVar; it yes, store it in symbol table. Return True if this looks like a type variable declaration (but maybe with errors), otherwise return False. """ call = self.get_typevarlike_declaration(s, ("typing.TypeVar", "typing_extensions.TypeVar")) if not call: return False name = self.extract_typevarlike_name(s, call) if name is None: return False # Constraining types n_values = call.arg_kinds[1:].count(ARG_POS) values = self.analyze_value_types(call.args[1 : 1 + n_values]) res = self.process_typevar_parameters( call.args[1 + n_values :], call.arg_names[1 + n_values :], call.arg_kinds[1 + n_values :], n_values, s, ) if res is None: return False variance, upper_bound, default = res existing = self.current_symbol_table().get(name) if existing and not ( isinstance(existing.node, PlaceholderNode) or # Also give error for another type variable with the same name. (isinstance(existing.node, TypeVarExpr) and existing.node is call.analyzed) ): self.fail(f'Cannot redefine "{name}" as a type variable', s) return False if self.options.disallow_any_unimported: for idx, constraint in enumerate(values, start=1): if has_any_from_unimported_type(constraint): prefix = f"Constraint {idx}" self.msg.unimported_type_becomes_any(prefix, constraint, s) if has_any_from_unimported_type(upper_bound): prefix = "Upper bound of type variable" self.msg.unimported_type_becomes_any(prefix, upper_bound, s) for t in values + [upper_bound, default]: check_for_explicit_any( t, self.options, self.is_typeshed_stub_file, self.msg, context=s ) # mypyc suppresses making copies of a function to check each # possible type, so set the upper bound to Any to prevent that # from causing errors. if values and self.options.mypyc: upper_bound = AnyType(TypeOfAny.implementation_artifact) # Yes, it's a valid type variable definition! Add it to the symbol table. if not call.analyzed: type_var = TypeVarExpr( name, self.qualified_name(name), values, upper_bound, default, variance ) type_var.line = call.line call.analyzed = type_var updated = True else: assert isinstance(call.analyzed, TypeVarExpr) updated = ( values != call.analyzed.values or upper_bound != call.analyzed.upper_bound or default != call.analyzed.default ) call.analyzed.upper_bound = upper_bound call.analyzed.values = values call.analyzed.default = default if any(has_placeholder(v) for v in values): self.process_placeholder(None, "TypeVar values", s, force_progress=updated) elif has_placeholder(upper_bound): self.process_placeholder(None, "TypeVar upper bound", s, force_progress=updated) elif has_placeholder(default): self.process_placeholder(None, "TypeVar default", s, force_progress=updated) self.add_symbol(name, call.analyzed, s) return True def check_typevar_default(self, default: Type, context: Context) -> Type: typ = get_proper_type(default) if isinstance(typ, AnyType) and typ.is_from_error: self.fail( message_registry.TYPEVAR_ARG_MUST_BE_TYPE.format("TypeVar", "default"), context ) return default def check_paramspec_default(self, default: Type, context: Context) -> Type: typ = get_proper_type(default) if isinstance(typ, Parameters): for i, arg_type in enumerate(typ.arg_types): arg_ptype = get_proper_type(arg_type) if isinstance(arg_ptype, AnyType) and arg_ptype.is_from_error: self.fail(f"Argument {i} of ParamSpec default must be a type", context) elif ( isinstance(typ, AnyType) and typ.is_from_error or not isinstance(typ, (AnyType, UnboundType)) ): self.fail( "The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec", context, ) default = AnyType(TypeOfAny.from_error) return default def check_typevartuple_default(self, default: Type, context: Context) -> Type: typ = get_proper_type(default) if not isinstance(typ, UnpackType): self.fail("The default argument to TypeVarTuple must be an Unpacked tuple", context) default = AnyType(TypeOfAny.from_error) return default def check_typevarlike_name(self, call: CallExpr, name: str, context: Context) -> bool: """Checks that the name of a TypeVar or ParamSpec matches its variable.""" name = unmangle(name) assert isinstance(call.callee, RefExpr) typevarlike_type = ( call.callee.name if isinstance(call.callee, NameExpr) else call.callee.fullname ) if len(call.args) < 1: self.fail(f"Too few arguments for {typevarlike_type}()", context) return False if not isinstance(call.args[0], StrExpr) or call.arg_kinds[0] != ARG_POS: self.fail(f"{typevarlike_type}() expects a string literal as first argument", context) return False elif call.args[0].value != name: msg = 'String argument 1 "{}" to {}(...) does not match variable name "{}"' self.fail(msg.format(call.args[0].value, typevarlike_type, name), context) return False return True def get_typevarlike_declaration( self, s: AssignmentStmt, typevarlike_types: tuple[str, ...] ) -> CallExpr | None: """Returns the call expression if `s` is a declaration of `typevarlike_type` (TypeVar or ParamSpec), or None otherwise. """ if len(s.lvalues) != 1 or not isinstance(s.lvalues[0], NameExpr): return None if not isinstance(s.rvalue, CallExpr): return None call = s.rvalue callee = call.callee if not isinstance(callee, RefExpr): return None if callee.fullname not in typevarlike_types: return None return call def process_typevar_parameters( self, args: list[Expression], names: list[str | None], kinds: list[ArgKind], num_values: int, context: Context, ) -> tuple[int, Type, Type] | None: has_values = num_values > 0 covariant = False contravariant = False upper_bound: Type = self.object_type() default: Type = AnyType(TypeOfAny.from_omitted_generics) for param_value, param_name, param_kind in zip(args, names, kinds): if not param_kind.is_named(): self.fail(message_registry.TYPEVAR_UNEXPECTED_ARGUMENT, context) return None if param_name == "covariant": if isinstance(param_value, NameExpr) and param_value.name in ("True", "False"): covariant = param_value.name == "True" else: self.fail(message_registry.TYPEVAR_VARIANCE_DEF.format("covariant"), context) return None elif param_name == "contravariant": if isinstance(param_value, NameExpr) and param_value.name in ("True", "False"): contravariant = param_value.name == "True" else: self.fail( message_registry.TYPEVAR_VARIANCE_DEF.format("contravariant"), context ) return None elif param_name == "bound": if has_values: self.fail("TypeVar cannot have both values and an upper bound", context) return None tv_arg = self.get_typevarlike_argument("TypeVar", param_name, param_value, context) if tv_arg is None: return None upper_bound = tv_arg elif param_name == "default": tv_arg = self.get_typevarlike_argument( "TypeVar", param_name, param_value, context, allow_unbound_tvars=True ) default = tv_arg or AnyType(TypeOfAny.from_error) elif param_name == "values": # Probably using obsolete syntax with values=(...). Explain the current syntax. self.fail('TypeVar "values" argument not supported', context) self.fail( "Use TypeVar('T', t, ...) instead of TypeVar('T', values=(t, ...))", context ) return None else: self.fail( f'{message_registry.TYPEVAR_UNEXPECTED_ARGUMENT}: "{param_name}"', context ) return None if covariant and contravariant: self.fail("TypeVar cannot be both covariant and contravariant", context) return None elif num_values == 1: self.fail(message_registry.TYPE_VAR_TOO_FEW_CONSTRAINED_TYPES, context) return None elif covariant: variance = COVARIANT elif contravariant: variance = CONTRAVARIANT else: variance = INVARIANT return variance, upper_bound, default def get_typevarlike_argument( self, typevarlike_name: str, param_name: str, param_value: Expression, context: Context, *, allow_unbound_tvars: bool = False, allow_param_spec_literals: bool = False, allow_unpack: bool = False, report_invalid_typevar_arg: bool = True, ) -> ProperType | None: try: # We want to use our custom error message below, so we suppress # the default error message for invalid types here. analyzed = self.expr_to_analyzed_type( param_value, allow_placeholder=True, report_invalid_types=False, allow_unbound_tvars=allow_unbound_tvars, allow_param_spec_literals=allow_param_spec_literals, allow_unpack=allow_unpack, ) if analyzed is None: # Type variables are special: we need to place them in the symbol table # soon, even if upper bound is not ready yet. Otherwise avoiding # a "deadlock" in this common pattern would be tricky: # T = TypeVar('T', bound=Custom[Any]) # class Custom(Generic[T]): # ... analyzed = PlaceholderType(None, [], context.line) typ = get_proper_type(analyzed) if report_invalid_typevar_arg and isinstance(typ, AnyType) and typ.is_from_error: self.fail( message_registry.TYPEVAR_ARG_MUST_BE_TYPE.format(typevarlike_name, param_name), param_value, ) # Note: we do not return 'None' here -- we want to continue # using the AnyType. return typ except TypeTranslationError: if report_invalid_typevar_arg: self.fail( message_registry.TYPEVAR_ARG_MUST_BE_TYPE.format(typevarlike_name, param_name), param_value, ) return None def extract_typevarlike_name(self, s: AssignmentStmt, call: CallExpr) -> str | None: if not call: return None lvalue = s.lvalues[0] assert isinstance(lvalue, NameExpr) if s.type: self.fail("Cannot declare the type of a TypeVar or similar construct", s) return None if not self.check_typevarlike_name(call, lvalue.name, s): return None return lvalue.name def process_paramspec_declaration(self, s: AssignmentStmt) -> bool: """Checks if s declares a ParamSpec; if yes, store it in symbol table. Return True if this looks like a ParamSpec (maybe with errors), otherwise return False. In the future, ParamSpec may accept bounds and variance arguments, in which case more aggressive sharing of code with process_typevar_declaration should be pursued. """ call = self.get_typevarlike_declaration( s, ("typing_extensions.ParamSpec", "typing.ParamSpec") ) if not call: return False name = self.extract_typevarlike_name(s, call) if name is None: return False n_values = call.arg_kinds[1:].count(ARG_POS) if n_values != 0: self.fail('Too many positional arguments for "ParamSpec"', s) default: Type = AnyType(TypeOfAny.from_omitted_generics) for param_value, param_name in zip( call.args[1 + n_values :], call.arg_names[1 + n_values :] ): if param_name == "default": tv_arg = self.get_typevarlike_argument( "ParamSpec", param_name, param_value, s, allow_unbound_tvars=True, allow_param_spec_literals=True, report_invalid_typevar_arg=False, ) default = tv_arg or AnyType(TypeOfAny.from_error) default = self.check_paramspec_default(default, param_value) else: # ParamSpec is different from a regular TypeVar: # arguments are not semantically valid. But, allowed in runtime. # So, we need to warn users about possible invalid usage. self.fail( "The variance and bound arguments to ParamSpec do not have defined semantics yet", s, ) # PEP 612 reserves the right to define bound, covariant and contravariant arguments to # ParamSpec in a later PEP. If and when that happens, we should do something # on the lines of process_typevar_parameters if not call.analyzed: paramspec_var = ParamSpecExpr( name, self.qualified_name(name), self.object_type(), default, INVARIANT ) paramspec_var.line = call.line call.analyzed = paramspec_var updated = True else: assert isinstance(call.analyzed, ParamSpecExpr) updated = default != call.analyzed.default call.analyzed.default = default if has_placeholder(default): self.process_placeholder(None, "ParamSpec default", s, force_progress=updated) self.add_symbol(name, call.analyzed, s) return True def process_typevartuple_declaration(self, s: AssignmentStmt) -> bool: """Checks if s declares a TypeVarTuple; if yes, store it in symbol table. Return True if this looks like a TypeVarTuple (maybe with errors), otherwise return False. """ call = self.get_typevarlike_declaration( s, ("typing_extensions.TypeVarTuple", "typing.TypeVarTuple") ) if not call: return False n_values = call.arg_kinds[1:].count(ARG_POS) if n_values != 0: self.fail('Too many positional arguments for "TypeVarTuple"', s) default: Type = AnyType(TypeOfAny.from_omitted_generics) for param_value, param_name in zip( call.args[1 + n_values :], call.arg_names[1 + n_values :] ): if param_name == "default": tv_arg = self.get_typevarlike_argument( "TypeVarTuple", param_name, param_value, s, allow_unbound_tvars=True, report_invalid_typevar_arg=False, allow_unpack=True, ) default = tv_arg or AnyType(TypeOfAny.from_error) default = self.check_typevartuple_default(default, param_value) else: self.fail(f'Unexpected keyword argument "{param_name}" for "TypeVarTuple"', s) name = self.extract_typevarlike_name(s, call) if name is None: return False # PEP 646 does not specify the behavior of variance, constraints, or bounds. if not call.analyzed: tuple_fallback = self.named_type("builtins.tuple", [self.object_type()]) typevartuple_var = TypeVarTupleExpr( name, self.qualified_name(name), # Upper bound for *Ts is *tuple[object, ...], it can never be object. tuple_fallback.copy_modified(), tuple_fallback, default, INVARIANT, ) typevartuple_var.line = call.line call.analyzed = typevartuple_var updated = True else: assert isinstance(call.analyzed, TypeVarTupleExpr) updated = default != call.analyzed.default call.analyzed.default = default if has_placeholder(default): self.process_placeholder(None, "TypeVarTuple default", s, force_progress=updated) self.add_symbol(name, call.analyzed, s) return True def basic_new_typeinfo(self, name: str, basetype_or_fallback: Instance, line: int) -> TypeInfo: if self.is_func_scope() and not self.type and "@" not in name: name += "@" + str(line) class_def = ClassDef(name, Block([])) if self.is_func_scope() and not self.type: # Full names of generated classes should always be prefixed with the module names # even if they are nested in a function, since these classes will be (de-)serialized. # (Note that the caller should append @line to the name to avoid collisions.) # TODO: clean this up, see #6422. class_def.fullname = self.cur_mod_id + "." + self.qualified_name(name) else: class_def.fullname = self.qualified_name(name) info = TypeInfo(SymbolTable(), class_def, self.cur_mod_id) class_def.info = info mro = basetype_or_fallback.type.mro if not mro: # Probably an error, we should not crash so generate something meaningful. mro = [basetype_or_fallback.type, self.object_type().type] info.mro = [info] + mro info.bases = [basetype_or_fallback] return info def analyze_value_types(self, items: list[Expression]) -> list[Type]: """Analyze types from values expressions in type variable definition.""" result: list[Type] = [] for node in items: try: analyzed = self.anal_type( self.expr_to_unanalyzed_type(node), allow_placeholder=True ) if analyzed is None: # Type variables are special: we need to place them in the symbol table # soon, even if some value is not ready yet, see process_typevar_parameters() # for an example. analyzed = PlaceholderType(None, [], node.line) if has_type_vars(analyzed): self.fail(message_registry.TYPE_VAR_GENERIC_CONSTRAINT_TYPE, node) result.append(AnyType(TypeOfAny.from_error)) else: result.append(analyzed) except TypeTranslationError: self.fail("Type expected", node) result.append(AnyType(TypeOfAny.from_error)) return result def check_classvar(self, s: AssignmentStmt) -> None: """Check if assignment defines a class variable.""" lvalue = s.lvalues[0] if len(s.lvalues) != 1 or not isinstance(lvalue, RefExpr): return if not s.type or not self.is_classvar(s.type): return assert isinstance(s.type, UnboundType) if self.is_class_scope() and isinstance(lvalue, NameExpr): node = lvalue.node if isinstance(node, Var): node.is_classvar = True analyzed = self.anal_type(s.type) assert self.type is not None if ( analyzed is not None and self.type.self_type in get_type_vars(analyzed) and self.type.defn.type_vars ): self.fail(message_registry.CLASS_VAR_WITH_GENERIC_SELF, s) elif not isinstance(lvalue, MemberExpr) or self.is_self_member_ref(lvalue): # In case of member access, report error only when assigning to self # Other kinds of member assignments should be already reported self.fail_invalid_classvar(lvalue) if not s.type.args: if isinstance(s.rvalue, TempNode) and s.rvalue.no_rhs: if self.options.disallow_any_generics: self.fail("ClassVar without type argument becomes Any", s, code=codes.TYPE_ARG) return s.type = None def is_classvar(self, typ: Type) -> bool: if not isinstance(typ, UnboundType): return False sym = self.lookup_qualified(typ.name, typ) if not sym or not sym.node: return False return sym.node.fullname == "typing.ClassVar" def is_final_type(self, typ: Type | None) -> bool: if not isinstance(typ, UnboundType): return False sym = self.lookup_qualified(typ.name, typ) if not sym or not sym.node: return False return sym.node.fullname in FINAL_TYPE_NAMES def fail_invalid_classvar(self, context: Context) -> None: self.fail(message_registry.CLASS_VAR_OUTSIDE_OF_CLASS, context) def process_module_assignment( self, lvals: list[Lvalue], rval: Expression, ctx: AssignmentStmt ) -> None: """Propagate module references across assignments. Recursively handles the simple form of iterable unpacking; doesn't handle advanced unpacking with *rest, dictionary unpacking, etc. In an expression like x = y = z, z is the rval and lvals will be [x, y]. """ if isinstance(rval, (TupleExpr, ListExpr)) and all( isinstance(v, TupleExpr) for v in lvals ): # rval and all lvals are either list or tuple, so we are dealing # with unpacking assignment like `x, y = a, b`. Mypy didn't # understand our all(isinstance(...)), so cast them as TupleExpr # so mypy knows it is safe to access their .items attribute. seq_lvals = cast(list[TupleExpr], lvals) # given an assignment like: # (x, y) = (m, n) = (a, b) # we now have: # seq_lvals = [(x, y), (m, n)] # seq_rval = (a, b) # We now zip this into: # elementwise_assignments = [(a, x, m), (b, y, n)] # where each elementwise assignment includes one element of rval and the # corresponding element of each lval. Basically we unpack # (x, y) = (m, n) = (a, b) # into elementwise assignments # x = m = a # y = n = b # and then we recursively call this method for each of those assignments. # If the rval and all lvals are not all of the same length, zip will just ignore # extra elements, so no error will be raised here; mypy will later complain # about the length mismatch in type-checking. elementwise_assignments = zip(rval.items, *[v.items for v in seq_lvals]) for rv, *lvs in elementwise_assignments: self.process_module_assignment(lvs, rv, ctx) elif isinstance(rval, RefExpr): rnode = self.lookup_type_node(rval) if rnode and isinstance(rnode.node, MypyFile): for lval in lvals: if not isinstance(lval, RefExpr): continue # respect explicitly annotated type if isinstance(lval.node, Var) and lval.node.type is not None: continue # We can handle these assignments to locals and to self if isinstance(lval, NameExpr): lnode = self.current_symbol_table().get(lval.name) elif isinstance(lval, MemberExpr) and self.is_self_member_ref(lval): assert self.type is not None lnode = self.type.names.get(lval.name) else: continue if lnode: if isinstance(lnode.node, MypyFile) and lnode.node is not rnode.node: assert isinstance(lval, (NameExpr, MemberExpr)) self.fail( 'Cannot assign multiple modules to name "{}" ' 'without explicit "types.ModuleType" annotation'.format(lval.name), ctx, ) # never create module alias except on initial var definition elif lval.is_inferred_def: assert rnode.node is not None lnode.node = rnode.node def process__all__(self, s: AssignmentStmt) -> None: """Export names if argument is a __all__ assignment.""" if ( len(s.lvalues) == 1 and isinstance(s.lvalues[0], NameExpr) and s.lvalues[0].name == "__all__" and s.lvalues[0].kind == GDEF and isinstance(s.rvalue, (ListExpr, TupleExpr)) ): self.add_exports(s.rvalue.items) def process__deletable__(self, s: AssignmentStmt) -> None: if not self.options.mypyc: return if ( len(s.lvalues) == 1 and isinstance(s.lvalues[0], NameExpr) and s.lvalues[0].name == "__deletable__" and s.lvalues[0].kind == MDEF ): rvalue = s.rvalue if not isinstance(rvalue, (ListExpr, TupleExpr)): self.fail('"__deletable__" must be initialized with a list or tuple expression', s) return items = rvalue.items attrs = [] for item in items: if not isinstance(item, StrExpr): self.fail('Invalid "__deletable__" item; string literal expected', item) else: attrs.append(item.value) assert self.type self.type.deletable_attributes = attrs def process__slots__(self, s: AssignmentStmt) -> None: """ Processing ``__slots__`` if defined in type. See: https://docs.python.org/3/reference/datamodel.html#slots """ # Later we can support `__slots__` defined as `__slots__ = other = ('a', 'b')` if ( isinstance(self.type, TypeInfo) and len(s.lvalues) == 1 and isinstance(s.lvalues[0], NameExpr) and s.lvalues[0].name == "__slots__" and s.lvalues[0].kind == MDEF ): # We understand `__slots__` defined as string, tuple, list, set, and dict: if not isinstance(s.rvalue, (StrExpr, ListExpr, TupleExpr, SetExpr, DictExpr)): # For example, `__slots__` can be defined as a variable, # we don't support it for now. return if any(p.slots is None for p in self.type.mro[1:-1]): # At least one type in mro (excluding `self` and `object`) # does not have concrete `__slots__` defined. Ignoring. return concrete_slots = True rvalue: list[Expression] = [] if isinstance(s.rvalue, StrExpr): rvalue.append(s.rvalue) elif isinstance(s.rvalue, (ListExpr, TupleExpr, SetExpr)): rvalue.extend(s.rvalue.items) else: # We have a special treatment of `dict` with possible `{**kwargs}` usage. # In this case we consider all `__slots__` to be non-concrete. for key, _ in s.rvalue.items: if concrete_slots and key is not None: rvalue.append(key) else: concrete_slots = False slots = [] for item in rvalue: # Special case for `'__dict__'` value: # when specified it will still allow any attribute assignment. if isinstance(item, StrExpr) and item.value != "__dict__": slots.append(item.value) else: concrete_slots = False if not concrete_slots: # Some slot items are dynamic, we don't want any false positives, # so, we just pretend that this type does not have any slots at all. return # We need to copy all slots from super types: for super_type in self.type.mro[1:-1]: assert super_type.slots is not None slots.extend(super_type.slots) self.type.slots = set(slots) # # Misc statements # def visit_block(self, b: Block) -> None: if b.is_unreachable: return self.block_depth[-1] += 1 for s in b.body: self.accept(s) self.block_depth[-1] -= 1 def visit_block_maybe(self, b: Block | None) -> None: if b: self.visit_block(b) def visit_expression_stmt(self, s: ExpressionStmt) -> None: self.statement = s s.expr.accept(self) def visit_return_stmt(self, s: ReturnStmt) -> None: old = self.statement self.statement = s if not self.is_func_scope(): self.fail('"return" outside function', s) if self.return_stmt_inside_except_star_block: self.fail('"return" not allowed in except* block', s, serious=True) if s.expr: s.expr.accept(self) if TYPE_FORM in self.options.enable_incomplete_feature: self.try_parse_as_type_expression(s.expr) self.statement = old def visit_raise_stmt(self, s: RaiseStmt) -> None: self.statement = s if s.expr: s.expr.accept(self) if s.from_expr: s.from_expr.accept(self) def visit_assert_stmt(self, s: AssertStmt) -> None: self.statement = s if s.expr: s.expr.accept(self) if s.msg: s.msg.accept(self) def visit_operator_assignment_stmt(self, s: OperatorAssignmentStmt) -> None: self.statement = s s.lvalue.accept(self) s.rvalue.accept(self) if ( isinstance(s.lvalue, NameExpr) and s.lvalue.name == "__all__" and s.lvalue.kind == GDEF and isinstance(s.rvalue, (ListExpr, TupleExpr)) ): self.add_exports(s.rvalue.items) def visit_while_stmt(self, s: WhileStmt) -> None: self.statement = s s.expr.accept(self) self.loop_depth[-1] += 1 with self.inside_except_star_block_set(value=False, entering_loop=True): s.body.accept(self) self.loop_depth[-1] -= 1 self.visit_block_maybe(s.else_body) def visit_for_stmt(self, s: ForStmt) -> None: if s.is_async: if not self.is_func_scope() or not self.function_stack[-1].is_coroutine: self.fail(message_registry.ASYNC_FOR_OUTSIDE_COROUTINE, s, code=codes.SYNTAX) self.statement = s s.expr.accept(self) # Bind index variables and check if they define new names. self.analyze_lvalue(s.index, explicit_type=s.index_type is not None, is_index_var=True) if s.index_type: if self.is_classvar(s.index_type): self.fail_invalid_classvar(s.index) allow_tuple_literal = isinstance(s.index, TupleExpr) analyzed = self.anal_type(s.index_type, allow_tuple_literal=allow_tuple_literal) if analyzed is not None: self.store_declared_types(s.index, analyzed) s.index_type = analyzed self.loop_depth[-1] += 1 with self.inside_except_star_block_set(value=False, entering_loop=True): self.visit_block(s.body) self.loop_depth[-1] -= 1 self.visit_block_maybe(s.else_body) def visit_break_stmt(self, s: BreakStmt) -> None: self.statement = s if self.loop_depth[-1] == 0: self.fail('"break" outside loop', s, serious=True, blocker=True) if self.inside_except_star_block: self.fail('"break" not allowed in except* block', s, serious=True) def visit_continue_stmt(self, s: ContinueStmt) -> None: self.statement = s if self.loop_depth[-1] == 0: self.fail('"continue" outside loop', s, serious=True, blocker=True) if self.inside_except_star_block: self.fail('"continue" not allowed in except* block', s, serious=True) def visit_if_stmt(self, s: IfStmt) -> None: self.statement = s infer_reachability_of_if_statement(s, self.options) for i in range(len(s.expr)): s.expr[i].accept(self) self.visit_block(s.body[i]) self.visit_block_maybe(s.else_body) def visit_try_stmt(self, s: TryStmt) -> None: self.statement = s self.analyze_try_stmt(s, self) def analyze_try_stmt(self, s: TryStmt, visitor: NodeVisitor[None]) -> None: s.body.accept(visitor) for type, var, handler in zip(s.types, s.vars, s.handlers): if type: type.accept(visitor) if var: self.analyze_lvalue(var) with self.inside_except_star_block_set(self.inside_except_star_block or s.is_star): handler.accept(visitor) if s.else_body: s.else_body.accept(visitor) if s.finally_body: s.finally_body.accept(visitor) def visit_with_stmt(self, s: WithStmt) -> None: self.statement = s types: list[Type] = [] if s.is_async: if not self.is_func_scope() or not self.function_stack[-1].is_coroutine: self.fail(message_registry.ASYNC_WITH_OUTSIDE_COROUTINE, s, code=codes.SYNTAX) if s.unanalyzed_type: assert isinstance(s.unanalyzed_type, ProperType) actual_targets = [t for t in s.target if t is not None] if len(actual_targets) == 0: # We have a type for no targets self.fail('Invalid type comment: "with" statement has no targets', s) elif len(actual_targets) == 1: # We have one target and one type types = [s.unanalyzed_type] elif isinstance(s.unanalyzed_type, TupleType): # We have multiple targets and multiple types if len(actual_targets) == len(s.unanalyzed_type.items): types = s.unanalyzed_type.items.copy() else: # But it's the wrong number of items self.fail('Incompatible number of types for "with" targets', s) else: # We have multiple targets and one type self.fail('Multiple types expected for multiple "with" targets', s) new_types: list[Type] = [] for e, n in zip(s.expr, s.target): e.accept(self) if n: self.analyze_lvalue(n, explicit_type=s.unanalyzed_type is not None) # Since we have a target, pop the next type from types if types: t = types.pop(0) if self.is_classvar(t): self.fail_invalid_classvar(n) allow_tuple_literal = isinstance(n, TupleExpr) analyzed = self.anal_type(t, allow_tuple_literal=allow_tuple_literal) if analyzed is not None: # TODO: Deal with this better new_types.append(analyzed) self.store_declared_types(n, analyzed) s.analyzed_types = new_types self.visit_block(s.body) def visit_del_stmt(self, s: DelStmt) -> None: self.statement = s s.expr.accept(self) if not self.is_valid_del_target(s.expr): self.fail("Invalid delete target", s) def is_valid_del_target(self, s: Expression) -> bool: if isinstance(s, (IndexExpr, NameExpr, MemberExpr)): return True elif isinstance(s, (TupleExpr, ListExpr)): return all(self.is_valid_del_target(item) for item in s.items) else: return False def visit_global_decl(self, g: GlobalDecl) -> None: self.statement = g for name in g.names: if name in self.nonlocal_decls[-1]: self.fail(f'Name "{name}" is nonlocal and global', g) self.global_decls[-1].add(name) def visit_nonlocal_decl(self, d: NonlocalDecl) -> None: self.statement = d if self.is_module_scope(): self.fail("nonlocal declaration not allowed at module level", d) else: for name in d.names: for table, scope_type in zip( reversed(self.locals[:-1]), reversed(self.scope_stack[:-1]) ): if table is not None and name in table: if scope_type == SCOPE_ANNOTATION: self.fail( f'nonlocal binding not allowed for type parameter "{name}"', d ) break else: self.fail(f'No binding for nonlocal "{name}" found', d) if self.locals[-1] is not None and name in self.locals[-1]: self.fail( 'Name "{}" is already defined in local ' "scope before nonlocal declaration".format(name), d, ) if name in self.global_decls[-1]: self.fail(f'Name "{name}" is nonlocal and global', d) self.nonlocal_decls[-1].add(name) def visit_match_stmt(self, s: MatchStmt) -> None: self.statement = s infer_reachability_of_match_statement(s, self.options) s.subject.accept(self) for i in range(len(s.patterns)): s.patterns[i].accept(self) guard = s.guards[i] if guard is not None: guard.accept(self) self.visit_block(s.bodies[i]) def visit_type_alias_stmt(self, s: TypeAliasStmt) -> None: if s.invalid_recursive_alias: return self.statement = s type_params = self.push_type_args(s.type_args, s) if type_params is None: self.defer(s) return all_type_params_names = [p.name for p in s.type_args] try: existing = self.current_symbol_table().get(s.name.name) if existing and not ( isinstance(existing.node, TypeAlias) or (isinstance(existing.node, PlaceholderNode) and existing.node.line == s.line) ): self.already_defined(s.name.name, s, existing, "Name") return tag = self.track_incomplete_refs() res, alias_tvars, depends_on, empty_tuple_index = self.analyze_alias( s.name.name, s.value.expr(), allow_placeholder=True, declared_type_vars=type_params, all_declared_type_params_names=all_type_params_names, python_3_12_type_alias=True, ) if not res: res = AnyType(TypeOfAny.from_error) if not self.is_func_scope(): # Only marking incomplete for top-level placeholders makes recursive aliases like # `A = Sequence[str | A]` valid here, similar to how we treat base classes in class # definitions, allowing `class str(Sequence[str]): ...` incomplete_target = isinstance(res, ProperType) and isinstance( res, PlaceholderType ) else: incomplete_target = has_placeholder(res) if self.found_incomplete_ref(tag) or incomplete_target: # Since we have got here, we know this must be a type alias (incomplete refs # may appear in nested positions), therefore use becomes_typeinfo=True. self.mark_incomplete(s.name.name, s.value, becomes_typeinfo=True) return # Now go through all new variables and temporary replace all tvars that still # refer to some placeholders. We defer the whole alias and will revisit it again, # as well as all its dependents. for i, tv in enumerate(alias_tvars): if has_placeholder(tv): self.mark_incomplete(s.name.name, s.value, becomes_typeinfo=True) alias_tvars[i] = self._trivial_typevarlike_like(tv) self.add_type_alias_deps(depends_on) check_for_explicit_any( res, self.options, self.is_typeshed_stub_file, self.msg, context=s ) # When this type alias gets "inlined", the Any is not explicit anymore, # so we need to replace it with non-explicit Anys. res = make_any_non_explicit(res) if self.options.disallow_any_unimported and has_any_from_unimported_type(res): self.msg.unimported_type_becomes_any("Type alias target", res, s) res = make_any_non_unimported(res) eager = self.is_func_scope() if isinstance(res, ProperType) and isinstance(res, Instance): fix_instance(res, self.fail, self.note, disallow_any=False, options=self.options) alias_node = TypeAlias( res, self.qualified_name(s.name.name), self.cur_mod_id, s.line, s.column, alias_tvars=alias_tvars, no_args=False, eager=eager, python_3_12_type_alias=True, ) s.alias_node = alias_node if ( existing and isinstance(existing.node, (PlaceholderNode, TypeAlias)) and existing.node.line == s.line ): updated = False if isinstance(existing.node, TypeAlias): if ( existing.node.target != res or existing.node.alias_tvars != alias_node.alias_tvars ): # Copy expansion to the existing alias, this matches how we update base classes # for a TypeInfo _in place_ if there are nested placeholders. existing.node.target = res existing.node.alias_tvars = alias_tvars updated = True # Invalidate recursive status cache in case it was previously set. existing.node._is_recursive = None else: # Otherwise just replace existing placeholder with type alias. existing.node = alias_node updated = True if updated: if self.final_iteration: self.cannot_resolve_name(s.name.name, "name", s) return else: # We need to defer so that this change can get propagated to base classes. self.defer(s, force_progress=True) else: self.add_symbol(s.name.name, alias_node, s) current_node = existing.node if existing else alias_node assert isinstance(current_node, TypeAlias) self.disable_invalid_recursive_aliases(s, current_node, s.value) s.name.accept(self) finally: self.pop_type_args(s.type_args) def _trivial_typevarlike_like(self, tv: TypeVarLikeType) -> TypeVarLikeType: object_type = self.named_type("builtins.object") if isinstance(tv, TypeVarType): return TypeVarType( tv.name, tv.fullname, tv.id, values=[], upper_bound=object_type, default=AnyType(TypeOfAny.from_omitted_generics), variance=tv.variance, line=tv.line, column=tv.column, ) elif isinstance(tv, TypeVarTupleType): tuple_type = self.named_type("builtins.tuple", [object_type]) return TypeVarTupleType( tv.name, tv.fullname, tv.id, upper_bound=tuple_type, tuple_fallback=tuple_type, default=AnyType(TypeOfAny.from_omitted_generics), line=tv.line, column=tv.column, ) elif isinstance(tv, ParamSpecType): return ParamSpecType( tv.name, tv.fullname, tv.id, flavor=tv.flavor, upper_bound=object_type, default=AnyType(TypeOfAny.from_omitted_generics), line=tv.line, column=tv.column, ) else: assert False, f"Unknown TypeVarLike: {tv!r}" # # Expressions # def visit_name_expr(self, expr: NameExpr) -> None: n = self.lookup(expr.name, expr) if n: self.bind_name_expr(expr, n) def bind_name_expr(self, expr: NameExpr, sym: SymbolTableNode) -> None: """Bind name expression to a symbol table node.""" if ( isinstance(sym.node, TypeVarExpr) and self.tvar_scope.get_binding(sym) and not self.allow_unbound_tvars ): self.fail(f'"{expr.name}" is a type variable and only valid in type context', expr) elif isinstance(sym.node, PlaceholderNode): self.process_placeholder(expr.name, "name", expr) else: expr.kind = sym.kind expr.node = sym.node expr.fullname = sym.fullname or "" def visit_super_expr(self, expr: SuperExpr) -> None: if not self.type and not expr.call.args: self.fail('"super" used outside class', expr) return expr.info = self.type for arg in expr.call.args: arg.accept(self) def visit_tuple_expr(self, expr: TupleExpr) -> None: for item in expr.items: if isinstance(item, StarExpr): item.valid = True item.accept(self) def visit_list_expr(self, expr: ListExpr) -> None: for item in expr.items: if isinstance(item, StarExpr): item.valid = True item.accept(self) def visit_set_expr(self, expr: SetExpr) -> None: for item in expr.items: if isinstance(item, StarExpr): item.valid = True item.accept(self) def visit_dict_expr(self, expr: DictExpr) -> None: for key, value in expr.items: if key is not None: key.accept(self) value.accept(self) def visit_star_expr(self, expr: StarExpr) -> None: if not expr.valid: self.fail("can't use starred expression here", expr, blocker=True) else: expr.expr.accept(self) def visit_yield_from_expr(self, e: YieldFromExpr) -> None: if not self.is_func_scope(): self.fail('"yield from" outside function', e, serious=True, blocker=True) elif self.scope_stack[-1] == SCOPE_COMPREHENSION: self.fail( '"yield from" inside comprehension or generator expression', e, serious=True, blocker=True, ) elif self.function_stack[-1].is_coroutine: self.fail('"yield from" in async function', e, serious=True, blocker=True) else: self.function_stack[-1].is_generator = True if e.expr: e.expr.accept(self) def visit_call_expr(self, expr: CallExpr) -> None: """Analyze a call expression. Some call expressions are recognized as special forms, including cast(...). """ expr.callee.accept(self) if refers_to_fullname(expr.callee, "typing.cast"): # Special form cast(...). if not self.check_fixed_args(expr, 2, "cast"): return # Translate first argument to an unanalyzed type. try: target = self.expr_to_unanalyzed_type(expr.args[0]) except TypeTranslationError: self.fail("Cast target is not a type", expr) return # Piggyback CastExpr object to the CallExpr object; it takes # precedence over the CallExpr semantics. expr.analyzed = CastExpr(expr.args[1], target) expr.analyzed.line = expr.line expr.analyzed.column = expr.column expr.analyzed.accept(self) elif refers_to_fullname(expr.callee, ASSERT_TYPE_NAMES): if not self.check_fixed_args(expr, 2, "assert_type"): return # Translate second argument to an unanalyzed type. try: target = self.expr_to_unanalyzed_type(expr.args[1]) except TypeTranslationError: self.fail("assert_type() type is not a type", expr) return expr.analyzed = AssertTypeExpr(expr.args[0], target) expr.analyzed.line = expr.line expr.analyzed.column = expr.column expr.analyzed.accept(self) elif refers_to_fullname(expr.callee, REVEAL_TYPE_NAMES): if not self.check_fixed_args(expr, 1, "reveal_type"): return reveal_imported = False reveal_type_node = self.lookup("reveal_type", expr, suppress_errors=True) if ( reveal_type_node and isinstance(reveal_type_node.node, SYMBOL_FUNCBASE_TYPES) and reveal_type_node.fullname in IMPORTED_REVEAL_TYPE_NAMES ): reveal_imported = True expr.analyzed = RevealExpr( kind=REVEAL_TYPE, expr=expr.args[0], is_imported=reveal_imported ) expr.analyzed.line = expr.line expr.analyzed.column = expr.column expr.analyzed.accept(self) elif refers_to_fullname(expr.callee, "builtins.reveal_locals"): # Store the local variable names into the RevealExpr for use in the # type checking pass local_nodes: list[Var] = [] if self.is_module_scope(): # try to determine just the variable declarations in module scope # self.globals.values() contains SymbolTableNode's # Each SymbolTableNode has an attribute node that is nodes.Var # look for variable nodes that marked as is_inferred # Each symboltable node has a Var node as .node local_nodes = [ n.node for name, n in self.globals.items() if getattr(n.node, "is_inferred", False) and isinstance(n.node, Var) ] elif self.is_class_scope(): # type = None # type: Optional[TypeInfo] if self.type is not None: local_nodes = [ st.node for st in self.type.names.values() if isinstance(st.node, Var) ] elif self.is_func_scope(): # locals = None # type: List[Optional[SymbolTable]] if self.locals is not None: symbol_table = self.locals[-1] if symbol_table is not None: local_nodes = [ st.node for st in symbol_table.values() if isinstance(st.node, Var) ] expr.analyzed = RevealExpr(kind=REVEAL_LOCALS, local_nodes=local_nodes) expr.analyzed.line = expr.line expr.analyzed.column = expr.column expr.analyzed.accept(self) elif refers_to_fullname(expr.callee, "typing.Any"): # Special form Any(...) no longer supported. self.fail("Any(...) is no longer supported. Use cast(Any, ...) instead", expr) elif refers_to_fullname(expr.callee, "typing._promote"): # Special form _promote(...). if not self.check_fixed_args(expr, 1, "_promote"): return # Translate first argument to an unanalyzed type. try: target = self.expr_to_unanalyzed_type(expr.args[0]) except TypeTranslationError: self.fail("Argument 1 to _promote is not a type", expr) return expr.analyzed = PromoteExpr(target) expr.analyzed.line = expr.line expr.analyzed.accept(self) elif refers_to_fullname(expr.callee, "builtins.dict") and not ( isinstance(expr.callee, RefExpr) and isinstance(expr.callee.node, TypeAlias) and not expr.callee.node.no_args ): expr.analyzed = self.translate_dict_call(expr) elif refers_to_fullname(expr.callee, "builtins.divmod"): if not self.check_fixed_args(expr, 2, "divmod"): return expr.analyzed = OpExpr("divmod", expr.args[0], expr.args[1]) expr.analyzed.line = expr.line expr.analyzed.accept(self) elif refers_to_fullname( expr.callee, ("typing.TypeAliasType", "typing_extensions.TypeAliasType") ): with self.allow_unbound_tvars_set(): for a in expr.args: a.accept(self) elif refers_to_fullname(expr.callee, ("typing.TypeForm", "typing_extensions.TypeForm")): # Special form TypeForm(...). if not self.check_fixed_args(expr, 1, "TypeForm"): return # Translate first argument to an unanalyzed type. try: typ = self.expr_to_unanalyzed_type(expr.args[0]) except TypeTranslationError: self.fail("TypeForm argument is not a type", expr) # Suppress future error: "" not callable expr.analyzed = CastExpr(expr.args[0], AnyType(TypeOfAny.from_error)) return # Piggyback TypeFormExpr object to the CallExpr object; it takes # precedence over the CallExpr semantics. expr.analyzed = TypeFormExpr(typ) expr.analyzed.line = expr.line expr.analyzed.column = expr.column expr.analyzed.accept(self) else: # Normal call expression. calculate_type_forms = TYPE_FORM in self.options.enable_incomplete_feature for a in expr.args: a.accept(self) if calculate_type_forms: self.try_parse_as_type_expression(a) if ( isinstance(expr.callee, MemberExpr) and isinstance(expr.callee.expr, NameExpr) and expr.callee.expr.name == "__all__" and expr.callee.expr.kind == GDEF and expr.callee.name in ("append", "extend", "remove") ): if expr.callee.name == "append" and expr.args: self.add_exports(expr.args[0]) elif ( expr.callee.name == "extend" and expr.args and isinstance(expr.args[0], (ListExpr, TupleExpr)) ): self.add_exports(expr.args[0].items) elif ( expr.callee.name == "remove" and expr.args and isinstance(expr.args[0], StrExpr) ): self.all_exports = [n for n in self.all_exports if n != expr.args[0].value] def translate_dict_call(self, call: CallExpr) -> DictExpr | None: """Translate 'dict(x=y, ...)' to {'x': y, ...} and 'dict()' to {}. For other variants of dict(...), return None. """ if not all(kind in (ARG_NAMED, ARG_STAR2) for kind in call.arg_kinds): # Must still accept those args. for a in call.args: a.accept(self) return None expr = DictExpr( [ (StrExpr(key) if key is not None else None, value) for key, value in zip(call.arg_names, call.args) ] ) expr.set_line(call) expr.accept(self) return expr def check_fixed_args(self, expr: CallExpr, numargs: int, name: str) -> bool: """Verify that expr has specified number of positional args. Return True if the arguments are valid. """ s = "s" if numargs == 1: s = "" if len(expr.args) != numargs: self.fail('"%s" expects %d argument%s' % (name, numargs, s), expr) return False if expr.arg_kinds != [ARG_POS] * numargs: self.fail(f'"{name}" must be called with {numargs} positional argument{s}', expr) return False return True def visit_member_expr(self, expr: MemberExpr) -> None: base = expr.expr base.accept(self) if isinstance(base, RefExpr) and isinstance(base.node, MypyFile): # Handle module attribute. sym = self.get_module_symbol(base.node, expr.name) if sym: if isinstance(sym.node, PlaceholderNode): self.process_placeholder(expr.name, "attribute", expr) return self.record_imported_symbol(sym) expr.kind = sym.kind expr.fullname = sym.fullname or "" expr.node = sym.node elif isinstance(base, RefExpr): # This branch handles the case C.bar (or cls.bar or self.bar inside # a classmethod/method), where C is a class and bar is a type # definition or a module resulting from `import bar` (or a module # assignment) inside class C. We look up bar in the class' TypeInfo # namespace. This is done only when bar is a module or a type; # other things (e.g. methods) are handled by other code in # checkmember. type_info = None if isinstance(base.node, TypeInfo): # C.bar where C is a class type_info = base.node elif isinstance(base.node, Var) and self.type and self.function_stack: # check for self.bar or cls.bar in method/classmethod func_def = self.function_stack[-1] if not func_def.is_static and isinstance(func_def.type, CallableType): formal_arg = func_def.type.argument_by_name(base.node.name) if formal_arg and formal_arg.pos == 0: type_info = self.type elif isinstance(base.node, TypeAlias) and base.node.no_args: assert isinstance(base.node.target, ProperType) if isinstance(base.node.target, Instance): type_info = base.node.target.type if type_info: n = type_info.names.get(expr.name) if n is not None and isinstance(n.node, (MypyFile, TypeInfo, TypeAlias)): self.record_imported_symbol(n) expr.kind = n.kind expr.fullname = n.fullname or "" expr.node = n.node def visit_op_expr(self, expr: OpExpr) -> None: expr.left.accept(self) if expr.op in ("and", "or"): inferred = infer_condition_value(expr.left, self.options) if (inferred in (ALWAYS_FALSE, MYPY_FALSE) and expr.op == "and") or ( inferred in (ALWAYS_TRUE, MYPY_TRUE) and expr.op == "or" ): expr.right_unreachable = True return elif (inferred in (ALWAYS_TRUE, MYPY_TRUE) and expr.op == "and") or ( inferred in (ALWAYS_FALSE, MYPY_FALSE) and expr.op == "or" ): expr.right_always = True expr.right.accept(self) def visit_comparison_expr(self, expr: ComparisonExpr) -> None: for operand in expr.operands: operand.accept(self) def visit_unary_expr(self, expr: UnaryExpr) -> None: expr.expr.accept(self) def visit_index_expr(self, expr: IndexExpr) -> None: base = expr.base base.accept(self) if ( isinstance(base, RefExpr) and isinstance(base.node, TypeInfo) and not base.node.is_generic() ): expr.index.accept(self) elif ( isinstance(base, RefExpr) and isinstance(base.node, TypeAlias) ) or refers_to_class_or_function(base): # We need to do full processing on every iteration, since some type # arguments may contain placeholder types. self.analyze_type_application(expr) else: expr.index.accept(self) def analyze_type_application(self, expr: IndexExpr) -> None: """Analyze special form -- type application (either direct or via type aliasing).""" types = self.analyze_type_application_args(expr) if types is None: return base = expr.base expr.analyzed = TypeApplication(base, types) expr.analyzed.line = expr.line expr.analyzed.column = expr.column def analyze_type_application_args(self, expr: IndexExpr) -> list[Type] | None: """Analyze type arguments (index) in a type application. Return None if anything was incomplete. """ index = expr.index tag = self.track_incomplete_refs() self.analyze_type_expr(index) if self.found_incomplete_ref(tag): return None if self.basic_type_applications: # Postpone the rest until we have more information (for r.h.s. of an assignment) return None types: list[Type] = [] if isinstance(index, TupleExpr): items = index.items is_tuple = isinstance(expr.base, RefExpr) and expr.base.fullname == "builtins.tuple" if is_tuple and len(items) == 2 and isinstance(items[-1], EllipsisExpr): items = items[:-1] else: items = [index] # TODO: this needs a clean-up. # Probably always allow Parameters literals, and validate in semanal_typeargs.py base = expr.base if isinstance(base, RefExpr) and isinstance(base.node, TypeAlias): allow_unpack = base.node.tvar_tuple_index is not None alias = base.node if any(isinstance(t, ParamSpecType) for t in alias.alias_tvars): has_param_spec = True num_args = len(alias.alias_tvars) else: has_param_spec = False num_args = -1 elif isinstance(base, RefExpr) and isinstance(base.node, TypeInfo): allow_unpack = ( base.node.has_type_var_tuple_type or base.node.fullname == "builtins.tuple" ) has_param_spec = base.node.has_param_spec_type num_args = len(base.node.type_vars) else: allow_unpack = False has_param_spec = False num_args = -1 for item in items: try: typearg = self.expr_to_unanalyzed_type(item, allow_unpack=True) except TypeTranslationError: self.fail("Type expected within [...]", expr) return None analyzed = self.anal_type( typearg, # The type application may appear in base class expression, # where type variables are not bound yet. Or when accepting # r.h.s. of type alias before we figured out it is a type alias. allow_unbound_tvars=self.allow_unbound_tvars, allow_placeholder=True, allow_param_spec_literals=has_param_spec, allow_unpack=allow_unpack, ) if analyzed is None: return None types.append(analyzed) if allow_unpack: # need to flatten away harmless unpacks like Unpack[tuple[int]] flattened_items = flatten_nested_tuples(types) types = self.type_analyzer().check_unpacks_in_list(flattened_items) if has_param_spec and num_args == 1 and types: first_arg = get_proper_type(types[0]) single_any = len(types) == 1 and isinstance(first_arg, AnyType) if not (single_any or any(isinstance(t, (Parameters, ParamSpecType)) for t in types)): types = [Parameters(types, [ARG_POS] * len(types), [None] * len(types))] return types def visit_slice_expr(self, expr: SliceExpr) -> None: if expr.begin_index: expr.begin_index.accept(self) if expr.end_index: expr.end_index.accept(self) if expr.stride: expr.stride.accept(self) def visit_cast_expr(self, expr: CastExpr) -> None: expr.expr.accept(self) analyzed = self.anal_type(expr.type) if analyzed is not None: expr.type = analyzed def visit_type_form_expr(self, expr: TypeFormExpr) -> None: analyzed = self.anal_type(expr.type) if analyzed is not None: expr.type = analyzed def visit_assert_type_expr(self, expr: AssertTypeExpr) -> None: expr.expr.accept(self) analyzed = self.anal_type(expr.type) if analyzed is not None: expr.type = analyzed def visit_reveal_expr(self, expr: RevealExpr) -> None: if expr.kind == REVEAL_TYPE: if expr.expr is not None: expr.expr.accept(self) else: # Reveal locals doesn't have an inner expression, there's no # need to traverse inside it pass def visit_type_application(self, expr: TypeApplication) -> None: expr.expr.accept(self) for i in range(len(expr.types)): analyzed = self.anal_type(expr.types[i]) if analyzed is not None: expr.types[i] = analyzed def visit_list_comprehension(self, expr: ListComprehension) -> None: if any(expr.generator.is_async): if not self.is_func_scope() or not self.function_stack[-1].is_coroutine: self.fail(message_registry.ASYNC_FOR_OUTSIDE_COROUTINE, expr, code=codes.SYNTAX) expr.generator.accept(self) def visit_set_comprehension(self, expr: SetComprehension) -> None: if any(expr.generator.is_async): if not self.is_func_scope() or not self.function_stack[-1].is_coroutine: self.fail(message_registry.ASYNC_FOR_OUTSIDE_COROUTINE, expr, code=codes.SYNTAX) expr.generator.accept(self) def visit_dictionary_comprehension(self, expr: DictionaryComprehension) -> None: if any(expr.is_async): if not self.is_func_scope() or not self.function_stack[-1].is_coroutine: self.fail(message_registry.ASYNC_FOR_OUTSIDE_COROUTINE, expr, code=codes.SYNTAX) with self.enter(expr): self.analyze_comp_for(expr) expr.key.accept(self) expr.value.accept(self) self.analyze_comp_for_2(expr) def visit_generator_expr(self, expr: GeneratorExpr) -> None: with self.enter(expr): self.analyze_comp_for(expr) expr.left_expr.accept(self) self.analyze_comp_for_2(expr) def analyze_comp_for(self, expr: GeneratorExpr | DictionaryComprehension) -> None: """Analyses the 'comp_for' part of comprehensions (part 1). That is the part after 'for' in (x for x in l if p). This analyzes variables and conditions which are analyzed in a local scope. """ for i, (index, sequence, conditions) in enumerate( zip(expr.indices, expr.sequences, expr.condlists) ): if i > 0: sequence.accept(self) # Bind index variables. self.analyze_lvalue(index) for cond in conditions: cond.accept(self) def analyze_comp_for_2(self, expr: GeneratorExpr | DictionaryComprehension) -> None: """Analyses the 'comp_for' part of comprehensions (part 2). That is the part after 'for' in (x for x in l if p). This analyzes the 'l' part which is analyzed in the surrounding scope. """ expr.sequences[0].accept(self) def visit_lambda_expr(self, expr: LambdaExpr) -> None: self.analyze_arg_initializers(expr) with self.inside_except_star_block_set(False, entering_loop=False): self.analyze_function_body(expr) def visit_conditional_expr(self, expr: ConditionalExpr) -> None: expr.if_expr.accept(self) expr.cond.accept(self) expr.else_expr.accept(self) def visit__promote_expr(self, expr: PromoteExpr) -> None: analyzed = self.anal_type(expr.type) if analyzed is not None: assert isinstance(analyzed, ProperType), "Cannot use type aliases for promotions" expr.type = analyzed def visit_yield_expr(self, e: YieldExpr) -> None: if not self.is_func_scope(): self.fail('"yield" outside function', e, serious=True, blocker=True) elif self.scope_stack[-1] == SCOPE_COMPREHENSION: self.fail( '"yield" inside comprehension or generator expression', e, serious=True, blocker=True, ) elif self.function_stack[-1].is_coroutine: self.function_stack[-1].is_generator = True self.function_stack[-1].is_async_generator = True else: self.function_stack[-1].is_generator = True if e.expr: e.expr.accept(self) def visit_await_expr(self, expr: AwaitExpr) -> None: if not self.is_func_scope() or not self.function_stack: # We check both because is_function_scope() returns True inside comprehensions. # This is not a blocker, because some environments (like ipython) # support top level awaits. self.fail('"await" outside function', expr, serious=True, code=codes.TOP_LEVEL_AWAIT) elif not self.function_stack[-1].is_coroutine: self.fail( '"await" outside coroutine ("async def")', expr, serious=True, code=codes.AWAIT_NOT_ASYNC, ) expr.expr.accept(self) # # Patterns # def visit_as_pattern(self, p: AsPattern) -> None: if p.pattern is not None: p.pattern.accept(self) if p.name is not None: self.analyze_lvalue(p.name) def visit_or_pattern(self, p: OrPattern) -> None: for pattern in p.patterns: pattern.accept(self) def visit_value_pattern(self, p: ValuePattern) -> None: p.expr.accept(self) def visit_sequence_pattern(self, p: SequencePattern) -> None: for pattern in p.patterns: pattern.accept(self) def visit_starred_pattern(self, p: StarredPattern) -> None: if p.capture is not None: self.analyze_lvalue(p.capture) def visit_mapping_pattern(self, p: MappingPattern) -> None: for key in p.keys: key.accept(self) for value in p.values: value.accept(self) if p.rest is not None: self.analyze_lvalue(p.rest) def visit_class_pattern(self, p: ClassPattern) -> None: p.class_ref.accept(self) for pos in p.positionals: pos.accept(self) for v in p.keyword_values: v.accept(self) # # Lookup functions # def lookup( self, name: str, ctx: Context, suppress_errors: bool = False ) -> SymbolTableNode | None: node = self._lookup(name, ctx, suppress_errors) if node is not None: # This call is unfortunate from performance point of view, but # needed for rare cases like e.g. testIncrementalChangingAlias. self.record_imported_symbol(node) return node def record_imported_symbol(self, sym: SymbolTableNode) -> None: """If the symbol was not defined in current module, add its module to module_refs.""" if sym.kind == LDEF or sym.node is None: return node = sym.node if isinstance(node, PlaceholderNode) or not node.fullname: # This node is not ready yet. return if node.fullname.startswith(("builtins.", "typing.")): # Skip dependencies on builtins/typing. return # Modules, classes, and type aliases store defining module directly. if isinstance(node, MypyFile): fullname = node.fullname elif isinstance(node, TypeInfo): fullname = node.module_name elif isinstance(node, TypeAlias): fullname = node.module elif isinstance(node, (Var, FuncDef, OverloadedFuncDef, Decorator)): # For functions/variables infer defining module from enclosing class. info = node.var.info if isinstance(node, Decorator) else node.info if info: fullname = info.module_name else: # global function/variable fullname = node.fullname.rsplit(".", maxsplit=1)[0] else: # Some nodes (currently only TypeVarLikeExpr subclasses) don't store # module fullname explicitly, infer it from the node fullname iteratively. # TODO: this is not 100% robust for type variables nested within a class # with a name that matches name of a submodule. fullname = node.fullname.rsplit(".", maxsplit=1)[0] if fullname == self.cur_mod_id: return while "." in fullname and fullname not in self.modules: fullname = fullname.rsplit(".", maxsplit=1)[0] if fullname != self.cur_mod_id: self.cur_mod_node.module_refs.add(fullname) def _lookup( self, name: str, ctx: Context, suppress_errors: bool = False ) -> SymbolTableNode | None: """Look up an unqualified (no dots) name in all active namespaces. Note that the result may contain a PlaceholderNode. The caller may want to defer in that case. Generate an error if the name is not defined unless suppress_errors is true or the current namespace is incomplete. In the latter case defer. """ implicit_name = False # 1a. Name declared using 'global x' takes precedence if name in self.global_decls[-1]: if name in self.globals: return self.globals[name] if not suppress_errors: self.name_not_defined(name, ctx) return None # 1b. Name declared using 'nonlocal x' takes precedence if name in self.nonlocal_decls[-1]: for table in reversed(self.locals[:-1]): if table is not None and name in table: return table[name] if not suppress_errors: self.name_not_defined(name, ctx) return None # 2a. Class attributes (if within class definition) if self.type and not self.is_func_scope() and name in self.type.names: node = self.type.names[name] if not node.implicit: if self.is_active_symbol_in_class_body(node.node): return node else: # Defined through self.x assignment implicit_name = True implicit_node = node # 2b. Class attributes __qualname__ and __module__ if self.type and not self.is_func_scope() and name in {"__qualname__", "__module__"}: return SymbolTableNode(MDEF, Var(name, self.str_type())) # 3. Local (function) scopes for table in reversed(self.locals): if table is not None and name in table: return table[name] # 4. Current file global scope if name in self.globals: return self.globals[name] # 5. Builtins b = self.globals.get("__builtins__", None) if b: assert isinstance(b.node, MypyFile) table = b.node.names if name in table: if len(name) > 1 and name[0] == "_" and name[1] != "_": if not suppress_errors: self.name_not_defined(name, ctx) return None node = table[name] return node # Give up. if not implicit_name and not suppress_errors: self.name_not_defined(name, ctx) else: if implicit_name: return implicit_node return None def is_active_symbol_in_class_body(self, node: SymbolNode | None) -> bool: """Can a symbol defined in class body accessed at current statement? Only allow access to class attributes textually after the definition, so that it's possible to fall back to the outer scope. Example: class X: ... class C: X = X # Initializer refers to outer scope Nested classes are an exception, since we want to support arbitrary forward references in type annotations. Also, we allow forward references to type aliases to support recursive types. """ # TODO: Forward reference to name imported in class body is not # caught. if self.statement is None: # Assume it's fine -- don't have enough context to check return True if ( node is None or self.is_textually_before_statement(node) or not self.is_defined_in_current_module(node.fullname) ): return True if self.is_type_like(node): # Allow forward references to classes/type aliases (see docstring), but # a forward reference should never shadow an existing regular reference. if node.name not in self.globals: return True global_node = self.globals[node.name] if not self.is_textually_before_class(global_node.node): return True return not self.is_type_like(global_node.node) return False def is_type_like(self, node: SymbolNode | None) -> bool: return isinstance(node, (TypeInfo, TypeAlias)) or ( isinstance(node, PlaceholderNode) and node.becomes_typeinfo ) def is_textually_before_statement(self, node: SymbolNode) -> bool: """Check if a node is defined textually before the current statement Note that decorated functions' line number are the same as the top decorator. """ assert self.statement line_diff = self.statement.line - node.line # The first branch handles reference an overloaded function variant inside itself, # this is a corner case where mypy technically deviates from runtime name resolution, # but it is fine because we want an overloaded function to be treated as a single unit. if self.is_overloaded_item(node, self.statement): return False elif isinstance(node, Decorator) and not node.is_overload: return line_diff > len(node.original_decorators) else: return line_diff > 0 def is_textually_before_class(self, node: SymbolNode | None) -> bool: """Similar to above, but check if a node is defined before current class.""" assert self.type is not None if node is None: return False return node.line < self.type.defn.line def is_overloaded_item(self, node: SymbolNode, statement: Statement) -> bool: """Check whether the function belongs to the overloaded variants""" if isinstance(node, OverloadedFuncDef) and isinstance(statement, FuncDef): in_items = statement in { item.func if isinstance(item, Decorator) else item for item in node.items } in_impl = node.impl is not None and ( (isinstance(node.impl, Decorator) and statement is node.impl.func) or statement is node.impl ) return in_items or in_impl return False def is_defined_in_current_module(self, fullname: str | None) -> bool: if not fullname: return False return module_prefix(self.modules, fullname) == self.cur_mod_id def lookup_qualified( self, name: str, ctx: Context, suppress_errors: bool = False ) -> SymbolTableNode | None: """Lookup a qualified name in all activate namespaces. Note that the result may contain a PlaceholderNode. The caller may want to defer in that case. Generate an error if the name is not defined unless suppress_errors is true or the current namespace is incomplete. In the latter case defer. """ if "." not in name: # Simple case: look up a short name. return self.lookup(name, ctx, suppress_errors=suppress_errors) parts = name.split(".") namespace = self.cur_mod_id sym = self.lookup(parts[0], ctx, suppress_errors=suppress_errors) if sym: for i in range(1, len(parts)): node = sym.node part = parts[i] if isinstance(node, TypeInfo): nextsym = node.get(part) elif isinstance(node, MypyFile): nextsym = self.get_module_symbol(node, part) namespace = node.fullname elif isinstance(node, PlaceholderNode): return sym elif isinstance(node, TypeAlias) and node.no_args: assert isinstance(node.target, ProperType) if isinstance(node.target, Instance): nextsym = node.target.type.get(part) else: nextsym = None else: if isinstance(node, Var): typ = get_proper_type(node.type) if isinstance(typ, AnyType): # Allow access through Var with Any type without error. return self.implicit_symbol(sym, name, parts[i:], typ) # This might be something like valid `P.args` or invalid `P.__bound__` access. # Important note that `ParamSpecExpr` is also ignored in other places. # See https://github.com/python/mypy/pull/13468 if isinstance(node, ParamSpecExpr) and part in ("args", "kwargs"): return None # Lookup through invalid node, such as variable or function nextsym = None if not nextsym or nextsym.module_hidden: if not suppress_errors: self.name_not_defined(name, ctx, namespace=namespace) return None sym = nextsym if sym is not None: self.record_imported_symbol(sym) return sym def lookup_type_node(self, expr: Expression) -> SymbolTableNode | None: try: t = self.expr_to_unanalyzed_type(expr) except TypeTranslationError: return None if isinstance(t, UnboundType): n = self.lookup_qualified(t.name, expr, suppress_errors=True) return n return None def get_module_symbol(self, node: MypyFile, name: str) -> SymbolTableNode | None: """Look up a symbol from a module. Return None if no matching symbol could be bound. """ module = node.fullname names = node.names sym = names.get(name) if not sym: fullname = module + "." + name if fullname in self.modules and self.is_visible_import(module, fullname): sym = SymbolTableNode(GDEF, self.modules[fullname]) elif self.is_incomplete_namespace(module): self.record_incomplete_ref() elif "__getattr__" in names: gvar = self.create_getattr_var(names["__getattr__"], name, fullname) if gvar: sym = SymbolTableNode(GDEF, gvar) elif self.is_missing_module(fullname): # We use the fullname of the original definition so that we can # detect whether two names refer to the same thing. var_type = AnyType(TypeOfAny.from_unimported_type) v = Var(name, type=var_type) v._fullname = fullname sym = SymbolTableNode(GDEF, v) elif sym.module_hidden: sym = None return sym def is_visible_import(self, base_id: str, id: str) -> bool: if id in self.import_map[self.cur_mod_id]: # Fast path: module is imported locally. return True if base_id not in self.transitive_submodule_imports: # This is a performance optimization for a common pattern. If one module # in a codebase uses import numpy as np; np.foo.bar, then it is likely that # other modules use similar pattern as well. So we pre-compute transitive # dependencies for np, to avoid possible duplicate work in the future. self.add_transitive_submodule_imports(base_id) if self.cur_mod_id not in self.transitive_submodule_imports: self.add_transitive_submodule_imports(self.cur_mod_id) return id in self.transitive_submodule_imports[self.cur_mod_id] def add_transitive_submodule_imports(self, mod_id: str) -> None: if mod_id not in self.import_map: return todo = self.import_map[mod_id] seen = {mod_id} result = {mod_id} while todo: dep = todo.pop() if dep in seen: continue seen.add(dep) if "." in dep: result.add(dep) if dep in self.transitive_submodule_imports: result |= self.transitive_submodule_imports[dep] continue if dep in self.import_map: todo |= self.import_map[dep] self.transitive_submodule_imports[mod_id] = result def is_missing_module(self, module: str) -> bool: return module in self.missing_modules def implicit_symbol( self, sym: SymbolTableNode, name: str, parts: list[str], source_type: AnyType ) -> SymbolTableNode: """Create symbol for a qualified name reference through Any type.""" if sym.node is None: basename = None else: basename = sym.node.fullname if basename is None: fullname = name else: fullname = basename + "." + ".".join(parts) var_type = AnyType(TypeOfAny.from_another_any, source_type) var = Var(parts[-1], var_type) var._fullname = fullname return SymbolTableNode(GDEF, var) def create_getattr_var( self, getattr_defn: SymbolTableNode, name: str, fullname: str ) -> Var | None: """Create a dummy variable using module-level __getattr__ return type. If not possible, return None. Note that multiple Var nodes can be created for a single name. We can use the from_module_getattr and the fullname attributes to check if two dummy Var nodes refer to the same thing. Reusing Var nodes would require non-local mutable state, which we prefer to avoid. """ if isinstance(getattr_defn.node, (FuncDef, Var)): node_type = get_proper_type(getattr_defn.node.type) if isinstance(node_type, CallableType): typ = node_type.ret_type else: typ = AnyType(TypeOfAny.from_error) v = Var(name, type=typ) v._fullname = fullname v.from_module_getattr = True return v return None def lookup_fully_qualified(self, fullname: str) -> SymbolTableNode: ret = self.lookup_fully_qualified_or_none(fullname) assert ret is not None, fullname return ret def lookup_fully_qualified_or_none(self, fullname: str) -> SymbolTableNode | None: """Lookup a fully qualified name that refers to a module-level definition. Don't assume that the name is defined. This happens in the global namespace -- the local module namespace is ignored. This does not dereference indirect refs. Note that this can't be used for names nested in class namespaces. """ # TODO: unify/clean-up/simplify lookup methods, see #4157. module, name = fullname.rsplit(".", maxsplit=1) if module in self.modules: # If the module exists, look up the name in the module. # This is the common case. filenode = self.modules[module] result = filenode.names.get(name) if result is None and self.is_incomplete_namespace(module): # TODO: More explicit handling of incomplete refs? self.record_incomplete_ref() return result else: # Else, try to find the longest prefix of the module name that is in the modules dictionary. splitted_modules = fullname.split(".") names = [] while splitted_modules and ".".join(splitted_modules) not in self.modules: names.append(splitted_modules.pop()) if not splitted_modules or not names: # If no module or name is found, return None. return None # Reverse the names list to get the correct order of names. names.reverse() module = ".".join(splitted_modules) filenode = self.modules[module] result = filenode.names.get(names[0]) if result is None and self.is_incomplete_namespace(module): # TODO: More explicit handling of incomplete refs? self.record_incomplete_ref() for part in names[1:]: if result is not None and isinstance(result.node, TypeInfo): result = result.node.names.get(part) else: return None return result def object_type(self) -> Instance: if self._object_type is None: self._object_type = self.named_type("builtins.object") return self._object_type def str_type(self) -> Instance: if self._str_type is None: self._str_type = self.named_type("builtins.str") return self._str_type def function_type(self) -> Instance: if self._function_type is None: self._function_type = self.named_type("builtins.function") return self._function_type def named_type(self, fullname: str, args: list[Type] | None = None) -> Instance: sym = self.lookup_fully_qualified(fullname) assert sym, "Internal error: attempted to construct unknown type" node = sym.node assert isinstance(node, TypeInfo), node if args: # TODO: assert len(args) == len(node.defn.type_vars) return Instance(node, args) return Instance(node, [AnyType(TypeOfAny.special_form)] * len(node.defn.type_vars)) def named_type_or_none(self, fullname: str, args: list[Type] | None = None) -> Instance | None: sym = self.lookup_fully_qualified_or_none(fullname) if not sym or isinstance(sym.node, PlaceholderNode): return None node = sym.node if isinstance(node, TypeAlias): assert isinstance(node.target, Instance) # type: ignore[misc] node = node.target.type assert isinstance(node, TypeInfo), node if args is not None: # TODO: assert len(args) == len(node.defn.type_vars) return Instance(node, args) return Instance(node, [AnyType(TypeOfAny.unannotated)] * len(node.defn.type_vars)) def builtin_type(self, fully_qualified_name: str) -> Instance: """Legacy function -- use named_type() instead.""" return self.named_type(fully_qualified_name) def lookup_current_scope(self, name: str) -> SymbolTableNode | None: if self.locals[-1] is not None: return self.locals[-1].get(name) elif self.type is not None: return self.type.names.get(name) else: return self.globals.get(name) # # Adding symbols # def add_symbol( self, name: str, node: SymbolNode, context: Context, module_public: bool = True, module_hidden: bool = False, can_defer: bool = True, escape_comprehensions: bool = False, no_progress: bool = False, type_param: bool = False, ) -> bool: """Add symbol to the currently active symbol table. Generally additions to symbol table should go through this method or one of the methods below so that kinds, redefinitions, conditional definitions, and skipped names are handled consistently. Return True if we actually added the symbol, or False if we refused to do so (because something is not ready). If can_defer is True, defer current target if adding a placeholder. """ if self.is_func_scope(): kind = LDEF elif self.type is not None: kind = MDEF else: kind = GDEF symbol = SymbolTableNode( kind, node, module_public=module_public, module_hidden=module_hidden ) return self.add_symbol_table_node( name, symbol, context, can_defer, escape_comprehensions, no_progress, type_param ) def add_symbol_skip_local(self, name: str, node: SymbolNode) -> None: """Same as above, but skipping the local namespace. This doesn't check for previous definition and is only used for serialization of method-level classes. Classes defined within methods can be exposed through an attribute type, but method-level symbol tables aren't serialized. This method can be used to add such classes to an enclosing, serialized symbol table. """ # TODO: currently this is only used by named tuples and typed dicts. # Use this method also by normal classes, see issue #6422. if self.type is not None: names = self.type.names kind = MDEF else: names = self.globals kind = GDEF symbol = SymbolTableNode(kind, node) names[name] = symbol def add_symbol_table_node( self, name: str, symbol: SymbolTableNode, context: Context | None = None, can_defer: bool = True, escape_comprehensions: bool = False, no_progress: bool = False, type_param: bool = False, ) -> bool: """Add symbol table node to the currently active symbol table. Return True if we actually added the symbol, or False if we refused to do so (because something is not ready or it was a no-op). Generate an error if there is an invalid redefinition. If context is None, unconditionally add node, since we can't report an error. Note that this is used by plugins to forcibly replace nodes! TODO: Prevent plugins from replacing nodes, as it could cause problems? Args: name: short name of symbol symbol: Node to add can_defer: if True, defer current target if adding a placeholder context: error context (see above about None value) """ names = self.current_symbol_table( escape_comprehensions=escape_comprehensions, type_param=type_param ) existing = names.get(name) if isinstance(symbol.node, PlaceholderNode) and can_defer: if context is not None: self.process_placeholder(name, "name", context) else: # see note in docstring describing None contexts self.defer() if ( existing is not None and context is not None and not is_valid_replacement(existing, symbol) ): # There is an existing node, so this may be a redefinition. # If the new node points to the same node as the old one, # or if both old and new nodes are placeholders, we don't # need to do anything. old = existing.node new = symbol.node if isinstance(new, PlaceholderNode): # We don't know whether this is okay. Let's wait until the next iteration. return False if not is_same_symbol(old, new): if isinstance(new, (FuncDef, Decorator, OverloadedFuncDef, TypeInfo)): self.add_redefinition(names, name, symbol) if not (isinstance(new, (FuncDef, Decorator)) and self.set_original_def(old, new)): self.name_already_defined(name, context, existing) elif type_param or ( name not in self.missing_names[-1] and "*" not in self.missing_names[-1] ): names[name] = symbol if not no_progress: self.progress = True return True return False def add_redefinition(self, names: SymbolTable, name: str, symbol: SymbolTableNode) -> None: """Add a symbol table node that reflects a redefinition as a function or a class. Redefinitions need to be added to the symbol table so that they can be found through AST traversal, but they have dummy names of form 'name-redefinition[N]', where N ranges over 2, 3, ... (omitted for the first redefinition). Note: we always store redefinitions independently of whether they are valid or not (so they will be semantically analyzed), the caller should give an error for invalid redefinitions (such as e.g. variable redefined as a class). """ i = 1 # Don't serialize redefined nodes. They are likely to have # busted internal references which can cause problems with # serialization and they can't have any external references to # them. symbol.no_serialize = True while True: if i == 1: new_name = f"{name}-redefinition" else: new_name = f"{name}-redefinition{i}" existing = names.get(new_name) if existing is None: names[new_name] = symbol return elif existing.node is symbol.node: # Already there return i += 1 def add_local(self, node: Var | FuncDef | OverloadedFuncDef, context: Context) -> None: """Add local variable or function.""" assert self.is_func_scope() name = node.name node._fullname = name self.add_symbol(name, node, context) def _get_node_for_class_scoped_import( self, name: str, symbol_node: SymbolNode | None, context: Context ) -> SymbolNode | None: if symbol_node is None: return None # I promise this type checks; I'm just making mypyc issues go away. # mypyc is absolutely convinced that `symbol_node` narrows to a Var in the following, # when it can also be a FuncBase. Once fixed, `f` in the following can be removed. # See also https://github.com/mypyc/mypyc/issues/892 f: Callable[[object], Any] = lambda x: x if isinstance(f(symbol_node), (Decorator, FuncBase, Var)): # For imports in class scope, we construct a new node to represent the symbol and # set its `info` attribute to `self.type`. existing = self.current_symbol_table().get(name) if ( # The redefinition checks in `add_symbol_table_node` don't work for our # constructed Var / FuncBase, so check for possible redefinitions here. existing is not None and isinstance(f(existing.node), (Decorator, FuncBase, Var)) and ( isinstance(f(existing.type), f(AnyType)) or f(existing.type) == f(symbol_node).type ) ): return existing.node # Construct the new node if isinstance(f(symbol_node), (FuncBase, Decorator)): # In theory we could construct a new node here as well, but in practice # it doesn't work well, see #12197 typ: Type | None = AnyType(TypeOfAny.from_error) self.fail("Unsupported class scoped import", context) else: typ = f(symbol_node).type symbol_node = Var(name, typ) symbol_node._fullname = self.qualified_name(name) assert self.type is not None # guaranteed by is_class_scope symbol_node.info = self.type symbol_node.line = context.line symbol_node.column = context.column return symbol_node def add_imported_symbol( self, name: str, node: SymbolTableNode, context: ImportBase, module_public: bool, module_hidden: bool, ) -> None: """Add an alias to an existing symbol through import.""" assert not module_hidden or not module_public existing_symbol = self.lookup_current_scope(name) if ( existing_symbol and not isinstance(existing_symbol.node, PlaceholderNode) and not isinstance(node.node, PlaceholderNode) ): # Import can redefine a variable. They get special treatment. if self.process_import_over_existing_name(name, existing_symbol, node, context): return symbol_node: SymbolNode | None = node.node if self.is_class_scope(): symbol_node = self._get_node_for_class_scoped_import(name, symbol_node, context) symbol = SymbolTableNode( node.kind, symbol_node, module_public=module_public, module_hidden=module_hidden ) self.add_symbol_table_node(name, symbol, context) def add_unknown_imported_symbol( self, name: str, context: Context, target_name: str | None, module_public: bool, module_hidden: bool, ) -> None: """Add symbol that we don't know what it points to because resolving an import failed. This can happen if a module is missing, or it is present, but doesn't have the imported attribute. The `target_name` is the name of symbol in the namespace it is imported from. For example, for 'from mod import x as y' the target_name is 'mod.x'. This is currently used only to track logical dependencies. """ existing = self.current_symbol_table().get(name) if existing and isinstance(existing.node, Var) and existing.node.is_suppressed_import: # This missing import was already added -- nothing to do here. return var = Var(name) if self.options.logical_deps and target_name is not None: # This makes it possible to add logical fine-grained dependencies # from a missing module. We can't use this by default, since in a # few places we assume that the full name points to a real # definition, but this name may point to nothing. var._fullname = target_name elif self.type: var._fullname = self.type.fullname + "." + name var.info = self.type else: var._fullname = self.qualified_name(name) var.is_ready = True any_type = AnyType(TypeOfAny.from_unimported_type, missing_import_name=var._fullname) var.type = any_type var.is_suppressed_import = True self.add_symbol( name, var, context, module_public=module_public, module_hidden=module_hidden ) # # Other helpers # @contextmanager def tvar_scope_frame(self, frame: TypeVarLikeScope) -> Iterator[None]: old_scope = self.tvar_scope self.tvar_scope = frame yield self.tvar_scope = old_scope def defer(self, debug_context: Context | None = None, force_progress: bool = False) -> None: """Defer current analysis target to be analyzed again. This must be called if something in the current target is incomplete or has a placeholder node. However, this must *not* be called during the final analysis iteration! Instead, an error should be generated. Often 'process_placeholder' is a good way to either defer or generate an error. NOTE: Some methods, such as 'anal_type', 'mark_incomplete' and 'record_incomplete_ref', call this implicitly, or when needed. They are usually preferable to a direct defer() call. """ assert not self.final_iteration, "Must not defer during final iteration" if force_progress: # Usually, we report progress if we have replaced a placeholder node # with an actual valid node. However, sometimes we need to update an # existing node *in-place*. For example, this is used by type aliases # in context of forward references and/or recursive aliases, and in # similar situations (recursive named tuples etc). self.progress = True self.deferred = True # Store debug info for this deferral. line = ( debug_context.line if debug_context else self.statement.line if self.statement else -1 ) self.deferral_debug_context.append((self.cur_mod_id, line)) def track_incomplete_refs(self) -> Tag: """Return tag that can be used for tracking references to incomplete names.""" return self.num_incomplete_refs def found_incomplete_ref(self, tag: Tag) -> bool: """Have we encountered an incomplete reference since starting tracking?""" return self.num_incomplete_refs != tag def record_incomplete_ref(self) -> None: """Record the encounter of an incomplete reference and defer current analysis target.""" self.defer() self.num_incomplete_refs += 1 def mark_incomplete( self, name: str, node: Node, becomes_typeinfo: bool = False, module_public: bool = True, module_hidden: bool = False, ) -> None: """Mark a definition as incomplete (and defer current analysis target). Also potentially mark the current namespace as incomplete. Args: name: The name that we weren't able to define (or '*' if the name is unknown) node: The node that refers to the name (definition or lvalue) becomes_typeinfo: Pass this to PlaceholderNode (used by special forms like named tuples that will create TypeInfos). """ self.defer(node) if name == "*": self.incomplete = True elif not self.is_global_or_nonlocal(name): fullname = self.qualified_name(name) assert self.statement placeholder = PlaceholderNode( fullname, node, self.statement.line, becomes_typeinfo=becomes_typeinfo ) self.add_symbol( name, placeholder, module_public=module_public, module_hidden=module_hidden, context=dummy_context(), ) self.missing_names[-1].add(name) def is_incomplete_namespace(self, fullname: str) -> bool: """Is a module or class namespace potentially missing some definitions? If a name is missing from an incomplete namespace, we'll need to defer the current analysis target. """ return fullname in self.incomplete_namespaces def process_placeholder( self, name: str | None, kind: str, ctx: Context, force_progress: bool = False ) -> None: """Process a reference targeting placeholder node. If this is not a final iteration, defer current node, otherwise report an error. The 'kind' argument indicates if this a name or attribute expression (used for better error message). """ if self.final_iteration: self.cannot_resolve_name(name, kind, ctx) else: self.defer(ctx, force_progress=force_progress) def cannot_resolve_name(self, name: str | None, kind: str, ctx: Context) -> None: name_format = f' "{name}"' if name else "" self.fail(f"Cannot resolve {kind}{name_format} (possible cyclic definition)", ctx) if self.is_func_scope(): self.note("Recursive types are not allowed at function scope", ctx) def qualified_name(self, name: str) -> str: if self.type is not None: return self.type._fullname + "." + name elif self.is_func_scope(): return name else: return self.cur_mod_id + "." + name @contextmanager def enter( self, function: FuncItem | GeneratorExpr | DictionaryComprehension ) -> Iterator[None]: """Enter a function, generator or comprehension scope.""" names = self.saved_locals.setdefault(function, SymbolTable()) self.locals.append(names) is_comprehension = isinstance(function, (GeneratorExpr, DictionaryComprehension)) self.scope_stack.append(SCOPE_FUNC if not is_comprehension else SCOPE_COMPREHENSION) self.global_decls.append(set()) self.nonlocal_decls.append(set()) # -1 since entering block will increment this to 0. self.block_depth.append(-1) self.loop_depth.append(0) self.missing_names.append(set()) try: yield finally: self.locals.pop() self.scope_stack.pop() self.global_decls.pop() self.nonlocal_decls.pop() self.block_depth.pop() self.loop_depth.pop() self.missing_names.pop() def is_func_scope(self) -> bool: scope_type = self.scope_stack[-1] if scope_type == SCOPE_ANNOTATION: scope_type = self.scope_stack[-2] return scope_type in (SCOPE_FUNC, SCOPE_COMPREHENSION) def is_nested_within_func_scope(self) -> bool: """Are we underneath a function scope, even if we are in a nested class also?""" return any(s in (SCOPE_FUNC, SCOPE_COMPREHENSION) for s in self.scope_stack) def is_class_scope(self) -> bool: return self.type is not None and not self.is_func_scope() def is_module_scope(self) -> bool: return not (self.is_class_scope() or self.is_func_scope()) def current_symbol_kind(self) -> int: if self.is_class_scope(): kind = MDEF elif self.is_func_scope(): kind = LDEF else: kind = GDEF return kind def current_symbol_table( self, escape_comprehensions: bool = False, type_param: bool = False ) -> SymbolTable: if type_param and self.scope_stack[-1] == SCOPE_ANNOTATION: n = self.locals[-1] assert n is not None return n elif self.is_func_scope(): if self.scope_stack[-1] == SCOPE_ANNOTATION: n = self.locals[-2] else: n = self.locals[-1] assert n is not None if escape_comprehensions: assert len(self.locals) == len(self.scope_stack) # Retrieve the symbol table from the enclosing non-comprehension scope. for i, scope_type in enumerate(reversed(self.scope_stack)): if scope_type != SCOPE_COMPREHENSION: if i == len(self.locals) - 1: # The last iteration. # The caller of the comprehension is in the global space. names = self.globals else: names_candidate = self.locals[-1 - i] assert ( names_candidate is not None ), "Escaping comprehension from invalid scope" names = names_candidate break else: assert False, "Should have at least one non-comprehension scope" else: names = n assert names is not None elif self.type is not None: names = self.type.names else: names = self.globals return names def is_global_or_nonlocal(self, name: str) -> bool: return self.is_func_scope() and ( name in self.global_decls[-1] or name in self.nonlocal_decls[-1] ) def add_exports(self, exp_or_exps: Iterable[Expression] | Expression) -> None: exps = [exp_or_exps] if isinstance(exp_or_exps, Expression) else exp_or_exps for exp in exps: if isinstance(exp, StrExpr): self.all_exports.append(exp.value) def name_not_defined(self, name: str, ctx: Context, namespace: str | None = None) -> None: incomplete = self.is_incomplete_namespace(namespace or self.cur_mod_id) if ( namespace is None and self.type and not self.is_func_scope() and self.incomplete_type_stack and self.incomplete_type_stack[-1] and not self.final_iteration ): # We are processing a class body for the first time, so it is incomplete. incomplete = True if incomplete: # Target namespace is incomplete, so it's possible that the name will be defined # later on. Defer current target. self.record_incomplete_ref() return message = f'Name "{name}" is not defined' self.fail(message, ctx, code=codes.NAME_DEFINED) if f"builtins.{name}" in SUGGESTED_TEST_FIXTURES: # The user probably has a missing definition in a test fixture. Let's verify. fullname = f"builtins.{name}" if self.lookup_fully_qualified_or_none(fullname) is None: # Yes. Generate a helpful note. self.msg.add_fixture_note(fullname, ctx) modules_with_unimported_hints = { name.split(".", 1)[0] for name in TYPES_FOR_UNIMPORTED_HINTS } lowercased = {name.lower(): name for name in TYPES_FOR_UNIMPORTED_HINTS} for module in modules_with_unimported_hints: fullname = f"{module}.{name}".lower() if fullname not in lowercased: continue # User probably forgot to import these types. hint = ( 'Did you forget to import it from "{module}"?' ' (Suggestion: "from {module} import {name}")' ).format(module=module, name=lowercased[fullname].rsplit(".", 1)[-1]) self.note(hint, ctx, code=codes.NAME_DEFINED) def already_defined( self, name: str, ctx: Context, original_ctx: SymbolTableNode | SymbolNode | None, noun: str ) -> None: if isinstance(original_ctx, SymbolTableNode): node: SymbolNode | None = original_ctx.node elif isinstance(original_ctx, SymbolNode): node = original_ctx else: node = None if isinstance(original_ctx, SymbolTableNode) and isinstance(original_ctx.node, MypyFile): # Since this is an import, original_ctx.node points to the module definition. # Therefore its line number is always 1, which is not useful for this # error message. extra_msg = " (by an import)" elif node and node.line != -1 and self.is_local_name(node.fullname): # TODO: Using previous symbol node may give wrong line. We should use # the line number where the binding was established instead. extra_msg = f" on line {node.line}" else: extra_msg = " (possibly by an import)" self.fail( f'{noun} "{unmangle(name)}" already defined{extra_msg}', ctx, code=codes.NO_REDEF ) def name_already_defined( self, name: str, ctx: Context, original_ctx: SymbolTableNode | SymbolNode | None = None ) -> None: self.already_defined(name, ctx, original_ctx, noun="Name") def attribute_already_defined( self, name: str, ctx: Context, original_ctx: SymbolTableNode | SymbolNode | None = None ) -> None: self.already_defined(name, ctx, original_ctx, noun="Attribute") def is_local_name(self, name: str) -> bool: """Does name look like reference to a definition in the current module?""" return self.is_defined_in_current_module(name) or "." not in name def in_checked_function(self) -> bool: """Should we type-check the current function? - Yes if --check-untyped-defs is set. - Yes outside functions. - Yes in annotated functions. - No otherwise. """ if self.options.check_untyped_defs or not self.function_stack: return True current_index = len(self.function_stack) - 1 while current_index >= 0: current_func = self.function_stack[current_index] if not isinstance(current_func, LambdaExpr): return not current_func.is_dynamic() # Special case, `lambda` inherits the "checked" state from its parent. # Because `lambda` itself cannot be annotated. # `lambdas` can be deeply nested, so we try to find at least one other parent. current_index -= 1 # This means that we only have a stack of `lambda` functions, # no regular functions. return True def fail( self, msg: str | ErrorMessage, ctx: Context, serious: bool = False, *, code: ErrorCode | None = None, blocker: bool = False, ) -> None: if not serious and not self.in_checked_function(): return # In case it's a bug and we don't really have context assert ctx is not None, msg if isinstance(msg, ErrorMessage): if code is None: code = msg.code msg = msg.value self.errors.report( ctx.line, ctx.column, msg, blocker=blocker, code=code, end_line=ctx.end_line, end_column=ctx.end_column, ) def note(self, msg: str, ctx: Context, code: ErrorCode | None = None) -> None: if not self.in_checked_function(): return self.errors.report(ctx.line, ctx.column, msg, severity="note", code=code) def incomplete_feature_enabled(self, feature: str, ctx: Context) -> bool: if feature not in self.options.enable_incomplete_feature: self.fail( f'"{feature}" support is experimental,' f" use --enable-incomplete-feature={feature} to enable", ctx, ) return False return True def accept(self, node: Node) -> None: try: node.accept(self) except Exception as err: report_internal_error(err, self.errors.file, node.line, self.errors, self.options) def expr_to_analyzed_type( self, expr: Expression, report_invalid_types: bool = True, allow_placeholder: bool = False, allow_type_any: bool = False, allow_unbound_tvars: bool = False, allow_param_spec_literals: bool = False, allow_unpack: bool = False, ) -> Type | None: if isinstance(expr, CallExpr): # This is a legacy syntax intended mostly for Python 2, we keep it for # backwards compatibility, but new features like generic named tuples # and recursive named tuples will be not supported. expr.accept(self) internal_name, info, tvar_defs = self.named_tuple_analyzer.check_namedtuple( expr, None, self.is_func_scope() ) if tvar_defs: self.fail("Generic named tuples are not supported for legacy class syntax", expr) self.note("Use either Python 3 class syntax, or the assignment syntax", expr) if internal_name is None: # Some form of namedtuple is the only valid type that looks like a call # expression. This isn't a valid type. raise TypeTranslationError() elif not info: self.defer(expr) return None assert info.tuple_type, "NamedTuple without tuple type" fallback = Instance(info, []) return TupleType(info.tuple_type.items, fallback=fallback) typ = self.expr_to_unanalyzed_type(expr) return self.anal_type( typ, report_invalid_types=report_invalid_types, allow_placeholder=allow_placeholder, allow_type_any=allow_type_any, allow_unbound_tvars=allow_unbound_tvars, allow_param_spec_literals=allow_param_spec_literals, allow_unpack=allow_unpack, ) def analyze_type_expr(self, expr: Expression) -> None: # There are certain expressions that mypy does not need to semantically analyze, # since they analyzed solely as type. (For example, indexes in type alias definitions # and base classes in class defs). External consumers of the mypy AST may need # them semantically analyzed, however, if they need to treat it as an expression # and not a type. (Which is to say, mypyc needs to do this.) Do the analysis # in a fresh tvar scope in order to suppress any errors about using type variables. with self.tvar_scope_frame(TypeVarLikeScope()), self.allow_unbound_tvars_set(): expr.accept(self) def type_analyzer( self, *, tvar_scope: TypeVarLikeScope | None = None, allow_tuple_literal: bool = False, allow_unbound_tvars: bool = False, allow_placeholder: bool = False, allow_typed_dict_special_forms: bool = False, allow_final: bool = False, allow_param_spec_literals: bool = False, allow_unpack: bool = False, report_invalid_types: bool = True, prohibit_self_type: str | None = None, prohibit_special_class_field_types: str | None = None, allow_type_any: bool = False, ) -> TypeAnalyser: if tvar_scope is None: tvar_scope = self.tvar_scope tpan = TypeAnalyser( self, tvar_scope, self.plugin, self.options, self.cur_mod_node, self.is_typeshed_stub_file, allow_unbound_tvars=allow_unbound_tvars, allow_tuple_literal=allow_tuple_literal, report_invalid_types=report_invalid_types, allow_placeholder=allow_placeholder, allow_typed_dict_special_forms=allow_typed_dict_special_forms, allow_final=allow_final, allow_param_spec_literals=allow_param_spec_literals, allow_unpack=allow_unpack, prohibit_self_type=prohibit_self_type, prohibit_special_class_field_types=prohibit_special_class_field_types, allow_type_any=allow_type_any, ) tpan.in_dynamic_func = bool(self.function_stack and self.function_stack[-1].is_dynamic()) tpan.global_scope = not self.type and not self.function_stack return tpan def expr_to_unanalyzed_type(self, node: Expression, allow_unpack: bool = False) -> ProperType: return expr_to_unanalyzed_type( node, self.options, self.is_stub_file, allow_unpack=allow_unpack ) def anal_type( self, typ: Type, *, tvar_scope: TypeVarLikeScope | None = None, allow_tuple_literal: bool = False, allow_unbound_tvars: bool = False, allow_placeholder: bool = False, allow_typed_dict_special_forms: bool = False, allow_final: bool = False, allow_param_spec_literals: bool = False, allow_unpack: bool = False, report_invalid_types: bool = True, prohibit_self_type: str | None = None, prohibit_special_class_field_types: str | None = None, allow_type_any: bool = False, ) -> Type | None: """Semantically analyze a type. Args: typ: Type to analyze (if already analyzed, this is a no-op) allow_placeholder: If True, may return PlaceholderType if encountering an incomplete definition Return None only if some part of the type couldn't be bound *and* it referred to an incomplete namespace or definition. In this case also defer as needed. During a final iteration this won't return None; instead report an error if the type can't be analyzed and return AnyType. In case of other errors, report an error message and return AnyType. NOTE: The caller shouldn't defer even if this returns None or a placeholder type. """ has_self_type = find_self_type( typ, lambda name: self.lookup_qualified(name, typ, suppress_errors=True) ) if has_self_type and self.type and prohibit_self_type is None: self.setup_self_type() a = self.type_analyzer( tvar_scope=tvar_scope, allow_unbound_tvars=allow_unbound_tvars, allow_tuple_literal=allow_tuple_literal, allow_placeholder=allow_placeholder, allow_typed_dict_special_forms=allow_typed_dict_special_forms, allow_final=allow_final, allow_param_spec_literals=allow_param_spec_literals, allow_unpack=allow_unpack, report_invalid_types=report_invalid_types, prohibit_self_type=prohibit_self_type, prohibit_special_class_field_types=prohibit_special_class_field_types, allow_type_any=allow_type_any, ) tag = self.track_incomplete_refs() typ = typ.accept(a) if self.found_incomplete_ref(tag): # Something could not be bound yet. return None self.add_type_alias_deps(a.aliases_used) return typ def class_type(self, self_type: Type) -> Type: return TypeType.make_normalized(self_type) def schedule_patch(self, priority: int, patch: Callable[[], None]) -> None: self.patches.append((priority, patch)) def report_hang(self) -> None: print("Deferral trace:") for mod, line in self.deferral_debug_context: print(f" {mod}:{line}") self.errors.report( -1, -1, "INTERNAL ERROR: maximum semantic analysis iteration count reached", blocker=True, ) def add_plugin_dependency(self, trigger: str, target: str | None = None) -> None: """Add dependency from trigger to a target. If the target is not given explicitly, use the current target. """ if target is None: target = self.scope.current_target() self.cur_mod_node.plugin_deps.setdefault(trigger, set()).add(target) def add_type_alias_deps( self, aliases_used: Collection[str], target: str | None = None ) -> None: """Add full names of type aliases on which the current node depends. This is used by fine-grained incremental mode to re-check the corresponding nodes. If `target` is None, then the target node used will be the current scope. """ if not aliases_used: return if target is None: target = self.scope.current_target() self.cur_mod_node.alias_deps[target].update(aliases_used) def is_mangled_global(self, name: str) -> bool: # A global is mangled if there exists at least one renamed variant. return unmangle(name) + "'" in self.globals def is_initial_mangled_global(self, name: str) -> bool: # If there are renamed definitions for a global, the first one has exactly one prime. return name == unmangle(name) + "'" def parse_bool(self, expr: Expression) -> bool | None: # This wrapper is preserved for plugins. return parse_bool(expr) def parse_str_literal(self, expr: Expression) -> str | None: """Attempt to find the string literal value of the given expression. Returns `None` if no literal value can be found.""" if isinstance(expr, StrExpr): return expr.value if isinstance(expr, RefExpr) and isinstance(expr.node, Var) and expr.node.type is not None: values = try_getting_str_literals_from_type(expr.node.type) if values is not None and len(values) == 1: return values[0] return None def set_future_import_flags(self, module_name: str) -> None: if module_name in FUTURE_IMPORTS: self.modules[self.cur_mod_id].future_import_flags.add(FUTURE_IMPORTS[module_name]) def is_future_flag_set(self, flag: str) -> bool: return self.modules[self.cur_mod_id].is_future_flag_set(flag) def parse_dataclass_transform_spec(self, call: CallExpr) -> DataclassTransformSpec: """Build a DataclassTransformSpec from the arguments passed to the given call to typing.dataclass_transform.""" parameters = DataclassTransformSpec() for name, value in zip(call.arg_names, call.args): # Skip any positional args. Note that any such args are invalid, but we can rely on # typeshed to enforce this and don't need an additional error here. if name is None: continue # field_specifiers is currently the only non-boolean argument; check for it first so # so the rest of the block can fail through to handling booleans if name == "field_specifiers": parameters.field_specifiers = self.parse_dataclass_transform_field_specifiers( value ) continue boolean = require_bool_literal_argument(self, value, name) if boolean is None: continue if name == "eq_default": parameters.eq_default = boolean elif name == "order_default": parameters.order_default = boolean elif name == "kw_only_default": parameters.kw_only_default = boolean elif name == "frozen_default": parameters.frozen_default = boolean else: self.fail(f'Unrecognized dataclass_transform parameter "{name}"', call) return parameters def parse_dataclass_transform_field_specifiers(self, arg: Expression) -> tuple[str, ...]: if not isinstance(arg, TupleExpr): self.fail('"field_specifiers" argument must be a tuple literal', arg) return () names = [] for specifier in arg.items: if not isinstance(specifier, RefExpr): self.fail('"field_specifiers" must only contain identifiers', specifier) return () names.append(specifier.fullname) return tuple(names) # leafs def visit_int_expr(self, o: IntExpr, /) -> None: return None def visit_str_expr(self, o: StrExpr, /) -> None: return None def visit_bytes_expr(self, o: BytesExpr, /) -> None: return None def visit_float_expr(self, o: FloatExpr, /) -> None: return None def visit_complex_expr(self, o: ComplexExpr, /) -> None: return None def visit_ellipsis(self, o: EllipsisExpr, /) -> None: return None def visit_temp_node(self, o: TempNode, /) -> None: return None def visit_pass_stmt(self, o: PassStmt, /) -> None: return None def visit_singleton_pattern(self, o: SingletonPattern, /) -> None: return None def try_parse_as_type_expression(self, maybe_type_expr: Expression) -> None: """Try to parse a value Expression as a type expression. If success then annotate the Expression with the type that it spells. If fails then emit no errors and take no further action. A value expression that is parsable as a type expression may be used where a TypeForm is expected to represent the spelled type. Unlike ExpressionChecker.try_parse_as_type_expression() (used in the later TypeChecker pass), this function can recognize ALL kinds of type expressions, including type expressions containing string annotations. If the provided Expression will be parsable later in ExpressionChecker.try_parse_as_type_expression(), this function will skip parsing the Expression to improve performance, because the later function is called many fewer times (i.e. only lazily in a rare TypeForm type context) than this function is called (i.e. eagerly for EVERY expression in certain syntactic positions). """ # Count every call to this method for profiling self.type_expression_parse_count += 1 # Bail ASAP if the Expression matches a common pattern that cannot possibly # be a valid type expression, because this function is called very frequently if not isinstance(maybe_type_expr, MaybeTypeExpression): return # Check types in order from most common to least common, for best performance if isinstance(maybe_type_expr, (NameExpr, MemberExpr)): # Defer parsing to the later TypeChecker pass, # and only lazily in contexts where a TypeForm is expected return elif isinstance(maybe_type_expr, StrExpr): str_value = maybe_type_expr.value # cache # Filter out string literals with common patterns that could not # possibly be in a type expression if _MULTIPLE_WORDS_NONTYPE_RE.match(str_value): # A common pattern in string literals containing a sentence. # But cannot be a type expression. maybe_type_expr.as_type = None return # Filter out string literals which look like an identifier but # cannot be a type expression, for a few common reasons if _IDENTIFIER_RE.fullmatch(str_value): sym = self.lookup(str_value, UnboundType(str_value), suppress_errors=True) if sym is None: # Does not refer to anything in the local symbol table maybe_type_expr.as_type = None return else: # sym is not None node = sym.node # cache if isinstance(node, PlaceholderNode) and not node.becomes_typeinfo: # Either: # 1. f'Cannot resolve name "{t.name}" (possible cyclic definition)' # 2. Reference to an unknown placeholder node. maybe_type_expr.as_type = None return unbound_tvar_or_paramspec = ( isinstance(node, (TypeVarExpr, TypeVarTupleExpr, ParamSpecExpr)) and self.tvar_scope.get_binding(sym) is None ) if unbound_tvar_or_paramspec: # Either: # 1. unbound_tvar: 'Type variable "{}" is unbound' [codes.VALID_TYPE] # 2. unbound_paramspec: f'ParamSpec "{name}" is unbound' [codes.VALID_TYPE] maybe_type_expr.as_type = None return else: # does not look like an identifier if '"' in str_value or "'" in str_value: # Only valid inside a Literal[...] type if "[" not in str_value: # Cannot be a Literal[...] type maybe_type_expr.as_type = None return elif str_value == "": # Empty string is not a valid type maybe_type_expr.as_type = None return elif isinstance(maybe_type_expr, IndexExpr): if isinstance(maybe_type_expr.base, NameExpr): if isinstance( maybe_type_expr.base.node, Var ) and not self.var_is_typing_special_form(maybe_type_expr.base.node): # Leftmost part of IndexExpr refers to a Var. Not a valid type. maybe_type_expr.as_type = None return elif isinstance(maybe_type_expr.base, MemberExpr): next_leftmost = maybe_type_expr.base while True: leftmost = next_leftmost.expr if not isinstance(leftmost, MemberExpr): break next_leftmost = leftmost if isinstance(leftmost, NameExpr): if isinstance(leftmost.node, Var) and not self.var_is_typing_special_form( leftmost.node ): # Leftmost part of IndexExpr refers to a Var. Not a valid type. maybe_type_expr.as_type = None return else: # Leftmost part of IndexExpr is not a NameExpr. Not a valid type. maybe_type_expr.as_type = None return else: # IndexExpr base is neither a NameExpr nor MemberExpr. Not a valid type. maybe_type_expr.as_type = None return elif isinstance(maybe_type_expr, OpExpr): if maybe_type_expr.op != "|": # Binary operators other than '|' never spell a valid type maybe_type_expr.as_type = None return else: assert_never(maybe_type_expr) with self.isolated_error_analysis(): try: t = self.expr_to_analyzed_type(maybe_type_expr) if self.errors.is_errors(): t = None except TypeTranslationError: # Not a type expression t = None if DEBUG_TYPE_EXPRESSION_FULL_PARSE_FAILURES and t is None: original_flushed_files = set(self.errors.flushed_files) # save try: errors = self.errors.new_messages() # capture finally: self.errors.flushed_files = original_flushed_files # restore print( f"SA.try_parse_as_type_expression: Full parse failure: {maybe_type_expr}, errors={errors!r}" ) # Count full parse attempts for profiling if t is not None: self.type_expression_full_parse_success_count += 1 else: self.type_expression_full_parse_failure_count += 1 maybe_type_expr.as_type = t @staticmethod def var_is_typing_special_form(var: Var) -> bool: return var.fullname.startswith("typing") and var.fullname in [ "typing.Annotated", "typing_extensions.Annotated", "typing.Callable", "typing.Literal", "typing_extensions.Literal", "typing.Optional", "typing.TypeGuard", "typing_extensions.TypeGuard", "typing.TypeIs", "typing_extensions.TypeIs", "typing.Union", ] @contextmanager def isolated_error_analysis(self) -> Iterator[None]: """ Context manager for performing error analysis that should not affect the main SemanticAnalyzer state. Upon entering this context, `self.errors` will start empty. Within this context, you can analyze expressions for errors. Upon exiting this context, the original `self.errors` will be restored, and any errors collected during the analysis will be discarded. """ # Save state original_errors = self.errors original_num_incomplete_refs = self.num_incomplete_refs original_progress = self.progress original_deferred = self.deferred original_deferral_debug_context_len = len(self.deferral_debug_context) self.errors = Errors(Options()) try: yield finally: # Restore state self.errors = original_errors self.num_incomplete_refs = original_num_incomplete_refs self.progress = original_progress self.deferred = original_deferred del self.deferral_debug_context[original_deferral_debug_context_len:] def replace_implicit_first_type(sig: FunctionLike, new: Type) -> FunctionLike: if isinstance(sig, CallableType): if len(sig.arg_types) == 0: return sig return sig.copy_modified(arg_types=[new] + sig.arg_types[1:]) elif isinstance(sig, Overloaded): return Overloaded( [cast(CallableType, replace_implicit_first_type(i, new)) for i in sig.items] ) else: assert False def refers_to_fullname(node: Expression, fullnames: str | tuple[str, ...]) -> bool: """Is node a name or member expression with the given full name?""" if not isinstance(fullnames, tuple): fullnames = (fullnames,) if not isinstance(node, RefExpr): return False if node.fullname in fullnames: return True if isinstance(node.node, TypeAlias) and not node.node.python_3_12_type_alias: return is_named_instance(node.node.target, fullnames) return False def refers_to_class_or_function(node: Expression) -> bool: """Does semantically analyzed node refer to a class?""" return isinstance(node, RefExpr) and isinstance( node.node, (TypeInfo, FuncDef, OverloadedFuncDef) ) def find_duplicate(list: list[T]) -> T | None: """If the list has duplicates, return one of the duplicates. Otherwise, return None. """ for i in range(1, len(list)): if list[i] in list[:i]: return list[i] return None def remove_imported_names_from_symtable(names: SymbolTable, module: str) -> None: """Remove all imported names from the symbol table of a module.""" removed: list[str] = [] for name, node in names.items(): if node.node is None: continue fullname = node.node.fullname prefix = fullname[: fullname.rfind(".")] if prefix != module: removed.append(name) for name in removed: del names[name] def make_any_non_explicit(t: Type) -> Type: """Replace all Any types within in with Any that has attribute 'explicit' set to False""" return t.accept(MakeAnyNonExplicit()) class MakeAnyNonExplicit(TrivialSyntheticTypeTranslator): def visit_any(self, t: AnyType) -> Type: if t.type_of_any == TypeOfAny.explicit: return t.copy_modified(TypeOfAny.special_form) return t def visit_type_alias_type(self, t: TypeAliasType) -> Type: return t.copy_modified(args=[a.accept(self) for a in t.args]) def make_any_non_unimported(t: Type) -> Type: """Replace all Any types that come from unimported types with special form Any.""" return t.accept(MakeAnyNonUnimported()) class MakeAnyNonUnimported(TrivialSyntheticTypeTranslator): def visit_any(self, t: AnyType) -> Type: if t.type_of_any == TypeOfAny.from_unimported_type: return t.copy_modified(TypeOfAny.special_form, missing_import_name=None) return t def visit_type_alias_type(self, t: TypeAliasType) -> Type: return t.copy_modified(args=[a.accept(self) for a in t.args]) def apply_semantic_analyzer_patches(patches: list[tuple[int, Callable[[], None]]]) -> None: """Call patch callbacks in the right order. This should happen after semantic analyzer pass 3. """ patches_by_priority = sorted(patches, key=lambda x: x[0]) for priority, patch_func in patches_by_priority: patch_func() def names_modified_by_assignment(s: AssignmentStmt) -> list[NameExpr]: """Return all unqualified (short) names assigned to in an assignment statement.""" result: list[NameExpr] = [] for lvalue in s.lvalues: result += names_modified_in_lvalue(lvalue) return result def names_modified_in_lvalue(lvalue: Lvalue) -> list[NameExpr]: """Return all NameExpr assignment targets in an Lvalue.""" if isinstance(lvalue, NameExpr): return [lvalue] elif isinstance(lvalue, StarExpr): return names_modified_in_lvalue(lvalue.expr) elif isinstance(lvalue, (ListExpr, TupleExpr)): result: list[NameExpr] = [] for item in lvalue.items: result += names_modified_in_lvalue(item) return result return [] def is_same_var_from_getattr(n1: SymbolNode | None, n2: SymbolNode | None) -> bool: """Do n1 and n2 refer to the same Var derived from module-level __getattr__?""" return ( isinstance(n1, Var) and n1.from_module_getattr and isinstance(n2, Var) and n2.from_module_getattr and n1.fullname == n2.fullname ) def dummy_context() -> Context: return TempNode(AnyType(TypeOfAny.special_form)) def is_valid_replacement(old: SymbolTableNode, new: SymbolTableNode) -> bool: """Can symbol table node replace an existing one? These are the only valid cases: 1. Placeholder gets replaced with a non-placeholder 2. Placeholder that isn't known to become type replaced with a placeholder that can become a type """ if isinstance(old.node, PlaceholderNode): if isinstance(new.node, PlaceholderNode): return not old.node.becomes_typeinfo and new.node.becomes_typeinfo else: return True return False def is_same_symbol(a: SymbolNode | None, b: SymbolNode | None) -> bool: return ( a == b or (isinstance(a, PlaceholderNode) and isinstance(b, PlaceholderNode)) or is_same_var_from_getattr(a, b) ) def is_trivial_body(block: Block) -> bool: """Returns 'true' if the given body is "trivial" -- if it contains just a "pass", "..." (ellipsis), or "raise NotImplementedError()". A trivial body may also start with a statement containing just a string (e.g. a docstring). Note: Functions that raise other kinds of exceptions do not count as "trivial". We use this function to help us determine when it's ok to relax certain checks on body, but functions that raise arbitrary exceptions are more likely to do non-trivial work. For example: def halt(self, reason: str = ...) -> NoReturn: raise MyCustomError("Fatal error: " + reason, self.line, self.context) A function that raises just NotImplementedError is much less likely to be this complex. Note: If you update this, you may also need to update mypy.fastparse.is_possible_trivial_body! """ body = block.body if not body: # Functions have empty bodies only if the body is stripped or the function is # generated or deserialized. In these cases the body is unknown. return False # Skip a docstring if isinstance(body[0], ExpressionStmt) and isinstance(body[0].expr, StrExpr): body = block.body[1:] if len(body) == 0: # There's only a docstring (or no body at all). return True elif len(body) > 1: return False stmt = body[0] if isinstance(stmt, RaiseStmt): expr = stmt.expr if expr is None: return False if isinstance(expr, CallExpr): expr = expr.callee return isinstance(expr, NameExpr) and expr.fullname == "builtins.NotImplementedError" return isinstance(stmt, PassStmt) or ( isinstance(stmt, ExpressionStmt) and isinstance(stmt.expr, EllipsisExpr) ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_classprop.py0000644000175100017510000001677115112307767017351 0ustar00runnerrunner"""Calculate some properties of classes. These happen after semantic analysis and before type checking. """ from __future__ import annotations from typing import Final from mypy.errors import Errors from mypy.nodes import ( IMPLICITLY_ABSTRACT, IS_ABSTRACT, CallExpr, Decorator, FuncDef, Node, OverloadedFuncDef, PromoteExpr, SymbolTable, TypeInfo, Var, ) from mypy.options import Options from mypy.types import MYPYC_NATIVE_INT_NAMES, Instance, ProperType # Hard coded type promotions (shared between all Python versions). # These add extra ad-hoc edges to the subtyping relation. For example, # int is considered a subtype of float, even though there is no # subclass relationship. # Note that the bytearray -> bytes promotion is a little unsafe # as some functions only accept bytes objects. Here convenience # trumps safety. TYPE_PROMOTIONS: Final = { "builtins.int": "float", "builtins.float": "complex", "builtins.bytearray": "bytes", "builtins.memoryview": "bytes", } def calculate_class_abstract_status(typ: TypeInfo, is_stub_file: bool, errors: Errors) -> None: """Calculate abstract status of a class. Set is_abstract of the type to True if the type has an unimplemented abstract attribute. Also compute a list of abstract attributes. Report error is required ABCMeta metaclass is missing. """ typ.is_abstract = False typ.abstract_attributes = [] if typ.typeddict_type: return # TypedDict can't be abstract concrete: set[str] = set() # List of abstract attributes together with their abstract status abstract: list[tuple[str, int]] = [] abstract_in_this_class: list[str] = [] if typ.is_newtype: # Special case: NewTypes are considered as always non-abstract, so they can be used as: # Config = NewType('Config', Mapping[str, str]) # default = Config({'cannot': 'modify'}) # OK return for base in typ.mro: for name, symnode in base.names.items(): node = symnode.node if isinstance(node, OverloadedFuncDef): # Unwrap an overloaded function definition. We can just # check arbitrarily the first overload item. If the # different items have a different abstract status, there # should be an error reported elsewhere. if node.items: # can be empty for invalid overloads func: Node | None = node.items[0] else: func = None else: func = node if isinstance(func, Decorator): func = func.func if isinstance(func, FuncDef): if ( func.abstract_status in (IS_ABSTRACT, IMPLICITLY_ABSTRACT) and name not in concrete ): typ.is_abstract = True abstract.append((name, func.abstract_status)) if base is typ: abstract_in_this_class.append(name) elif isinstance(node, Var): if node.is_abstract_var and name not in concrete: typ.is_abstract = True abstract.append((name, IS_ABSTRACT)) if base is typ: abstract_in_this_class.append(name) concrete.add(name) # In stubs, abstract classes need to be explicitly marked because it is too # easy to accidentally leave a concrete class abstract by forgetting to # implement some methods. typ.abstract_attributes = sorted(abstract) if is_stub_file: if typ.declared_metaclass and typ.declared_metaclass.type.has_base("abc.ABCMeta"): return if typ.is_protocol: return if abstract and not abstract_in_this_class: def report(message: str, severity: str) -> None: errors.report(typ.line, typ.column, message, severity=severity) attrs = ", ".join(f'"{attr}"' for attr, _ in sorted(abstract)) report(f"Class {typ.fullname} has abstract attributes {attrs}", "error") report( "If it is meant to be abstract, add 'abc.ABCMeta' as an explicit metaclass", "note" ) if typ.is_final and abstract: attrs = ", ".join(f'"{attr}"' for attr, _ in sorted(abstract)) errors.report( typ.line, typ.column, f"Final class {typ.fullname} has abstract attributes {attrs}" ) def check_protocol_status(info: TypeInfo, errors: Errors) -> None: """Check that all classes in MRO of a protocol are protocols""" if info.is_protocol: for type in info.bases: if not type.type.is_protocol and type.type.fullname != "builtins.object": errors.report( info.line, info.column, "All bases of a protocol must be protocols", severity="error", ) def calculate_class_vars(info: TypeInfo) -> None: """Try to infer additional class variables. Subclass attribute assignments with no type annotation are assumed to be classvar if overriding a declared classvar from the base class. This must happen after the main semantic analysis pass, since this depends on base class bodies having been fully analyzed. """ for name, sym in info.names.items(): node = sym.node if isinstance(node, Var) and node.info and node.is_inferred and not node.is_classvar: for base in info.mro[1:]: member = base.names.get(name) if member is not None and isinstance(member.node, Var) and member.node.is_classvar: node.is_classvar = True def add_type_promotion( info: TypeInfo, module_names: SymbolTable, options: Options, builtin_names: SymbolTable ) -> None: """Setup extra, ad-hoc subtyping relationships between classes (promotion). This includes things like 'int' being compatible with 'float'. """ defn = info.defn promote_targets: list[ProperType] = [] for decorator in defn.decorators: if isinstance(decorator, CallExpr): analyzed = decorator.analyzed if isinstance(analyzed, PromoteExpr): # _promote class decorator (undocumented feature). promote_targets.append(analyzed.type) if not promote_targets: if defn.fullname in TYPE_PROMOTIONS: target_sym = module_names.get(TYPE_PROMOTIONS[defn.fullname]) if defn.fullname == "builtins.bytearray" and options.disable_bytearray_promotion: target_sym = None elif defn.fullname == "builtins.memoryview" and options.disable_memoryview_promotion: target_sym = None # With test stubs, the target may not exist. if target_sym: target_info = target_sym.node assert isinstance(target_info, TypeInfo) promote_targets.append(Instance(target_info, [])) # Special case the promotions between 'int' and native integer types. # These have promotions going both ways, such as from 'int' to 'i64' # and 'i64' to 'int', for convenience. if defn.fullname in MYPYC_NATIVE_INT_NAMES: int_sym = builtin_names["int"] assert isinstance(int_sym.node, TypeInfo) int_sym.node._promote.append(Instance(defn.info, [])) defn.info.alt_promote = Instance(int_sym.node, []) if promote_targets: defn.info._promote.extend(promote_targets) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_enum.py0000644000175100017510000002372515112307767016304 0ustar00runnerrunner"""Semantic analysis of call-based Enum definitions. This is conceptually part of mypy.semanal (semantic analyzer pass 2). """ from __future__ import annotations from typing import Final, cast from mypy.nodes import ( ARG_NAMED, ARG_POS, EXCLUDED_ENUM_ATTRIBUTES, MDEF, AssignmentStmt, CallExpr, Context, DictExpr, EnumCallExpr, Expression, ListExpr, MemberExpr, NameExpr, RefExpr, StrExpr, SymbolTableNode, TupleExpr, TypeInfo, Var, is_StrExpr_list, ) from mypy.options import Options from mypy.semanal_shared import SemanticAnalyzerInterface from mypy.types import LiteralType, get_proper_type # Note: 'enum.EnumMeta' is deliberately excluded from this list. Classes that directly use # enum.EnumMeta do not necessarily automatically have the 'name' and 'value' attributes. ENUM_BASES: Final = frozenset( ("enum.Enum", "enum.IntEnum", "enum.Flag", "enum.IntFlag", "enum.StrEnum") ) ENUM_SPECIAL_PROPS: Final = frozenset( ( "name", "value", "_name_", "_value_", *EXCLUDED_ENUM_ATTRIBUTES, # Also attributes from `object`: "__module__", "__annotations__", "__doc__", "__slots__", "__dict__", ) ) class EnumCallAnalyzer: def __init__(self, options: Options, api: SemanticAnalyzerInterface) -> None: self.options = options self.api = api def process_enum_call(self, s: AssignmentStmt, is_func_scope: bool) -> bool: """Check if s defines an Enum; if yes, store the definition in symbol table. Return True if this looks like an Enum definition (but maybe with errors), otherwise return False. """ if len(s.lvalues) != 1 or not isinstance(s.lvalues[0], (NameExpr, MemberExpr)): return False lvalue = s.lvalues[0] name = lvalue.name enum_call = self.check_enum_call(s.rvalue, name, is_func_scope) if enum_call is None: return False if isinstance(lvalue, MemberExpr): self.fail("Enum type as attribute is not supported", lvalue) return False # Yes, it's a valid Enum definition. Add it to the symbol table. self.api.add_symbol(name, enum_call, s) return True def check_enum_call( self, node: Expression, var_name: str, is_func_scope: bool ) -> TypeInfo | None: """Check if a call defines an Enum. Example: A = enum.Enum('A', 'foo bar') is equivalent to: class A(enum.Enum): foo = 1 bar = 2 """ if not isinstance(node, CallExpr): return None call = node callee = call.callee if not isinstance(callee, RefExpr): return None fullname = callee.fullname if fullname not in ENUM_BASES: return None new_class_name, items, values, ok = self.parse_enum_call_args( call, fullname.split(".")[-1] ) if not ok: # Error. Construct dummy return value. name = var_name if is_func_scope: name += "@" + str(call.line) info = self.build_enum_call_typeinfo(name, [], fullname, node.line) else: if new_class_name != var_name: msg = f'String argument 1 "{new_class_name}" to {fullname}(...) does not match variable name "{var_name}"' self.fail(msg, call) name = cast(StrExpr, call.args[0]).value if name != var_name or is_func_scope: # Give it a unique name derived from the line number. name += "@" + str(call.line) info = self.build_enum_call_typeinfo(name, items, fullname, call.line) # Store generated TypeInfo under both names, see semanal_namedtuple for more details. if name != var_name or is_func_scope: self.api.add_symbol_skip_local(name, info) call.analyzed = EnumCallExpr(info, items, values) call.analyzed.set_line(call) info.line = node.line return info def build_enum_call_typeinfo( self, name: str, items: list[str], fullname: str, line: int ) -> TypeInfo: base = self.api.named_type_or_none(fullname) assert base is not None info = self.api.basic_new_typeinfo(name, base, line) info.metaclass_type = info.calculate_metaclass_type() info.is_enum = True for item in items: var = Var(item) var.info = info var.is_property = True # When an enum is created by its functional form `Enum(name, values)` # - if it is a string it is first split by commas/whitespace # - if it is an iterable of single items each item is assigned a value starting at `start` # - if it is an iterable of (name, value) then the given values will be used # either way, each item should be treated as if it has an explicit value. var.has_explicit_value = True var._fullname = f"{info.fullname}.{item}" info.names[item] = SymbolTableNode(MDEF, var) return info def parse_enum_call_args( self, call: CallExpr, class_name: str ) -> tuple[str, list[str], list[Expression | None], bool]: """Parse arguments of an Enum call. Return a tuple of fields, values, was there an error. """ args = call.args if not all(arg_kind in [ARG_POS, ARG_NAMED] for arg_kind in call.arg_kinds): return self.fail_enum_call_arg(f"Unexpected arguments to {class_name}()", call) if len(args) < 2: return self.fail_enum_call_arg(f"Too few arguments for {class_name}()", call) if len(args) > 6: return self.fail_enum_call_arg(f"Too many arguments for {class_name}()", call) valid_name = [None, "value", "names", "module", "qualname", "type", "start"] for arg_name in call.arg_names: if arg_name not in valid_name: self.fail_enum_call_arg(f'Unexpected keyword argument "{arg_name}"', call) value, names = None, None for arg_name, arg in zip(call.arg_names, args): if arg_name == "value": value = arg if arg_name == "names": names = arg if value is None: value = args[0] if names is None: names = args[1] if not isinstance(value, StrExpr): return self.fail_enum_call_arg( f"{class_name}() expects a string literal as the first argument", call ) new_class_name = value.value items = [] values: list[Expression | None] = [] if isinstance(names, StrExpr): fields = names.value for field in fields.replace(",", " ").split(): items.append(field) elif isinstance(names, (TupleExpr, ListExpr)): seq_items = names.items if is_StrExpr_list(seq_items): items = [seq_item.value for seq_item in seq_items] elif all( isinstance(seq_item, (TupleExpr, ListExpr)) and len(seq_item.items) == 2 and isinstance(seq_item.items[0], StrExpr) for seq_item in seq_items ): for seq_item in seq_items: assert isinstance(seq_item, (TupleExpr, ListExpr)) name, value = seq_item.items assert isinstance(name, StrExpr) items.append(name.value) values.append(value) else: return self.fail_enum_call_arg( "%s() with tuple or list expects strings or (name, value) pairs" % class_name, call, ) elif isinstance(names, DictExpr): for key, value in names.items: if not isinstance(key, StrExpr): return self.fail_enum_call_arg( f"{class_name}() with dict literal requires string literals", call ) items.append(key.value) values.append(value) elif isinstance(args[1], RefExpr) and isinstance(args[1].node, Var): proper_type = get_proper_type(args[1].node.type) if ( proper_type is not None and isinstance(proper_type, LiteralType) and isinstance(proper_type.value, str) ): fields = proper_type.value for field in fields.replace(",", " ").split(): items.append(field) elif args[1].node.is_final and isinstance(args[1].node.final_value, str): fields = args[1].node.final_value for field in fields.replace(",", " ").split(): items.append(field) else: return self.fail_enum_call_arg( "Second argument of %s() must be string, tuple, list or dict literal for mypy to determine Enum members" % class_name, call, ) else: # TODO: Allow dict(x=1, y=2) as a substitute for {'x': 1, 'y': 2}? return self.fail_enum_call_arg( "Second argument of %s() must be string, tuple, list or dict literal for mypy to determine Enum members" % class_name, call, ) if not items: return self.fail_enum_call_arg(f"{class_name}() needs at least one item", call) if not values: values = [None] * len(items) assert len(items) == len(values) return new_class_name, items, values, True def fail_enum_call_arg( self, message: str, context: Context ) -> tuple[str, list[str], list[Expression | None], bool]: self.fail(message, context) return "", [], [], False # Helpers def fail(self, msg: str, ctx: Context) -> None: self.api.fail(msg, ctx) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_infer.py0000644000175100017510000001234615112307767016440 0ustar00runnerrunner"""Simple type inference for decorated functions during semantic analysis.""" from __future__ import annotations from mypy.nodes import ARG_POS, CallExpr, Decorator, Expression, FuncDef, RefExpr, Var from mypy.semanal_shared import SemanticAnalyzerInterface from mypy.typeops import function_type from mypy.types import ( AnyType, CallableType, ProperType, Type, TypeOfAny, TypeVarType, get_proper_type, ) from mypy.typevars import has_no_typevars def infer_decorator_signature_if_simple( dec: Decorator, analyzer: SemanticAnalyzerInterface ) -> None: """Try to infer the type of the decorated function. This lets us resolve additional references to decorated functions during type checking. Otherwise the type might not be available when we need it, since module top levels can't be deferred. This basically uses a simple special-purpose type inference engine just for decorators. """ if dec.var.is_property: # Decorators are expected to have a callable type (it's a little odd). # TODO: this may result in wrong type if @property is applied to decorated method. if dec.func.type is None: dec.var.type = CallableType( [AnyType(TypeOfAny.special_form)], [ARG_POS], [None], AnyType(TypeOfAny.special_form), analyzer.named_type("builtins.function"), name=dec.var.name, ) elif isinstance(dec.func.type, CallableType): dec.var.type = dec.func.type return decorator_preserves_type = True for expr in dec.decorators: preserve_type = False if isinstance(expr, RefExpr) and isinstance(expr.node, FuncDef): if expr.fullname == "typing.no_type_check": return if expr.node.type and is_identity_signature(expr.node.type): preserve_type = True if not preserve_type: decorator_preserves_type = False break if decorator_preserves_type: # No non-identity decorators left. We can trivially infer the type # of the function here. dec.var.type = function_type(dec.func, analyzer.named_type("builtins.function")) if dec.decorators: return_type = calculate_return_type(dec.decorators[0]) if return_type and isinstance(return_type, AnyType): # The outermost decorator will return Any so we know the type of the # decorated function. dec.var.type = AnyType(TypeOfAny.from_another_any, source_any=return_type) sig = find_fixed_callable_return(dec.decorators[0]) if sig: # The outermost decorator always returns the same kind of function, # so we know that this is the type of the decorated function. orig_sig = function_type(dec.func, analyzer.named_type("builtins.function")) sig.name = orig_sig.items[0].name dec.var.type = sig def is_identity_signature(sig: Type) -> bool: """Is type a callable of form T -> T (where T is a type variable)?""" sig = get_proper_type(sig) if isinstance(sig, CallableType) and sig.arg_kinds == [ARG_POS]: if isinstance(sig.arg_types[0], TypeVarType) and isinstance(sig.ret_type, TypeVarType): return sig.arg_types[0].id == sig.ret_type.id return False def calculate_return_type(expr: Expression) -> ProperType | None: """Return the return type if we can calculate it. This only uses information available during semantic analysis so this will sometimes return None because of insufficient information (as type inference hasn't run yet). """ if isinstance(expr, RefExpr): if isinstance(expr.node, FuncDef): typ = expr.node.type if typ is None: # No signature -> default to Any. return AnyType(TypeOfAny.unannotated) # Explicit Any return? if isinstance(typ, CallableType): return get_proper_type(typ.ret_type) return None elif isinstance(expr.node, Var): return get_proper_type(expr.node.type) elif isinstance(expr, CallExpr): return calculate_return_type(expr.callee) return None def find_fixed_callable_return(expr: Expression) -> CallableType | None: """Return the return type, if expression refers to a callable that returns a callable. But only do this if the return type has no type variables. Return None otherwise. This approximates things a lot as this is supposed to be called before type checking when full type information is not available yet. """ if isinstance(expr, RefExpr): if isinstance(expr.node, FuncDef): typ = expr.node.type if typ: if isinstance(typ, CallableType) and has_no_typevars(typ.ret_type): ret_type = get_proper_type(typ.ret_type) if isinstance(ret_type, CallableType): return ret_type elif isinstance(expr, CallExpr): t = find_fixed_callable_return(expr.callee) if t: ret_type = get_proper_type(t.ret_type) if isinstance(ret_type, CallableType): return ret_type return None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_main.py0000644000175100017510000005510515112307767016261 0ustar00runnerrunner"""Top-level logic for the semantic analyzer. The semantic analyzer binds names, resolves imports, detects various special constructs that don't have dedicated AST nodes after parse (such as 'cast' which looks like a call), populates symbol tables, and performs various simple consistency checks. Semantic analysis of each SCC (strongly connected component; import cycle) is performed in one unit. Each module is analyzed as multiple separate *targets*; the module top level is one target and each function is a target. Nested functions are not separate targets, however. This is mostly identical to targets used by mypy daemon (but classes aren't targets in semantic analysis). We first analyze each module top level in an SCC. If we encounter some names that we can't bind because the target of the name may not have been processed yet, we *defer* the current target for further processing. Deferred targets will be analyzed additional times until everything can be bound, or we reach a maximum number of iterations. We keep track of a set of incomplete namespaces, i.e. namespaces that we haven't finished populating yet. References to these namespaces cause a deferral if they can't be satisfied. Initially every module in the SCC will be incomplete. """ from __future__ import annotations from collections.abc import Iterator from contextlib import nullcontext from itertools import groupby from typing import TYPE_CHECKING, Callable, Final, Optional, Union from typing_extensions import TypeAlias as _TypeAlias import mypy.build import mypy.state from mypy.checker import FineGrainedDeferredNode from mypy.errors import Errors from mypy.nodes import Decorator, FuncDef, MypyFile, OverloadedFuncDef, TypeInfo, Var from mypy.options import Options from mypy.plugin import ClassDefContext from mypy.plugins import dataclasses as dataclasses_plugin from mypy.semanal import ( SemanticAnalyzer, apply_semantic_analyzer_patches, remove_imported_names_from_symtable, ) from mypy.semanal_classprop import ( add_type_promotion, calculate_class_abstract_status, calculate_class_vars, check_protocol_status, ) from mypy.semanal_infer import infer_decorator_signature_if_simple from mypy.semanal_shared import find_dataclass_transform_spec from mypy.semanal_typeargs import TypeArgumentAnalyzer from mypy.server.aststrip import SavedAttributes from mypy.util import is_typeshed_file if TYPE_CHECKING: from mypy.build import Graph, State Patches: _TypeAlias = list[tuple[int, Callable[[], None]]] # If we perform this many iterations, raise an exception since we are likely stuck. MAX_ITERATIONS: Final = 20 # Number of passes over core modules before going on to the rest of the builtin SCC. CORE_WARMUP: Final = 2 core_modules: Final = [ "typing", "_collections_abc", "builtins", "abc", "collections", "collections.abc", ] def semantic_analysis_for_scc(graph: Graph, scc: list[str], errors: Errors) -> None: """Perform semantic analysis for all modules in a SCC (import cycle). Assume that reachability analysis has already been performed. The scc will be processed roughly in the order the modules are included in the list. """ patches: Patches = [] # Note that functions can't define new module-level attributes # using 'global x', since module top levels are fully processed # before functions. This limitation is unlikely to go away soon. process_top_levels(graph, scc, patches) process_functions(graph, scc, patches) # We use patch callbacks to fix up things when we expect relatively few # callbacks to be required. apply_semantic_analyzer_patches(patches) # Run class decorator hooks (they requite complete MROs and no placeholders). apply_class_plugin_hooks(graph, scc, errors) # This pass might need fallbacks calculated above and the results of hooks. check_type_arguments(graph, scc, errors) calculate_class_properties(graph, scc, errors) check_blockers(graph, scc) # Clean-up builtins, so that TypeVar etc. are not accessible without importing. if "builtins" in scc: cleanup_builtin_scc(graph["builtins"]) # Report TypeForm profiling stats if len(scc) >= 1: # Get manager from any state in the SCC (they all share the same manager) manager = graph[scc[0]].manager analyzer = manager.semantic_analyzer manager.add_stats( type_expression_parse_count=analyzer.type_expression_parse_count, type_expression_full_parse_success_count=analyzer.type_expression_full_parse_success_count, type_expression_full_parse_failure_count=analyzer.type_expression_full_parse_failure_count, ) def cleanup_builtin_scc(state: State) -> None: """Remove imported names from builtins namespace. This way names imported from typing in builtins.pyi aren't available by default (without importing them). We can only do this after processing the whole SCC is finished, when the imported names aren't needed for processing builtins.pyi itself. """ assert state.tree is not None remove_imported_names_from_symtable(state.tree.names, "builtins") def semantic_analysis_for_targets( state: State, nodes: list[FineGrainedDeferredNode], graph: Graph, saved_attrs: SavedAttributes ) -> None: """Semantically analyze only selected nodes in a given module. This essentially mirrors the logic of semantic_analysis_for_scc() except that we process only some targets. This is used in fine grained incremental mode, when propagating an update. The saved_attrs are implicitly declared instance attributes (attributes defined on self) removed by AST stripper that may need to be reintroduced here. They must be added before any methods are analyzed. """ patches: Patches = [] if any(isinstance(n.node, MypyFile) for n in nodes): # Process module top level first (if needed). process_top_levels(graph, [state.id], patches) restore_saved_attrs(saved_attrs) analyzer = state.manager.semantic_analyzer for n in nodes: if isinstance(n.node, MypyFile): # Already done above. continue process_top_level_function( analyzer, state, state.id, n.node.fullname, n.node, n.active_typeinfo, patches ) apply_semantic_analyzer_patches(patches) apply_class_plugin_hooks(graph, [state.id], state.manager.errors) check_type_arguments_in_targets(nodes, state, state.manager.errors) calculate_class_properties(graph, [state.id], state.manager.errors) def restore_saved_attrs(saved_attrs: SavedAttributes) -> None: """Restore instance variables removed during AST strip that haven't been added yet.""" for (cdef, name), sym in saved_attrs.items(): info = cdef.info existing = info.get(name) defined_in_this_class = name in info.names assert isinstance(sym.node, Var) # This needs to mimic the logic in SemanticAnalyzer.analyze_member_lvalue() # regarding the existing variable in class body or in a superclass: # If the attribute of self is not defined in superclasses, create a new Var. if ( existing is None or # (An abstract Var is considered as not defined.) (isinstance(existing.node, Var) and existing.node.is_abstract_var) or # Also an explicit declaration on self creates a new Var unless # there is already one defined in the class body. sym.node.explicit_self_type and not defined_in_this_class ): info.names[name] = sym def process_top_levels(graph: Graph, scc: list[str], patches: Patches) -> None: # Process top levels until everything has been bound. # Reverse order of the scc so the first modules in the original list will be # be processed first. This helps with performance. scc = list(reversed(scc)) # noqa: FURB187 intentional copy # Initialize ASTs and symbol tables. for id in scc: state = graph[id] assert state.tree is not None state.manager.semantic_analyzer.prepare_file(state.tree) # Initially all namespaces in the SCC are incomplete (well they are empty). state.manager.incomplete_namespaces.update(scc) worklist = scc.copy() # HACK: process core stuff first. This is mostly needed to support defining # named tuples in builtin SCC. if all(m in worklist for m in core_modules): worklist += list(reversed(core_modules)) * CORE_WARMUP final_iteration = False iteration = 0 analyzer = state.manager.semantic_analyzer analyzer.deferral_debug_context.clear() while worklist: iteration += 1 if iteration > MAX_ITERATIONS: # Just pick some module inside the current SCC for error context. assert state.tree is not None with analyzer.file_context(state.tree, state.options): analyzer.report_hang() break if final_iteration: # Give up. It's impossible to bind all names. state.manager.incomplete_namespaces.clear() all_deferred: list[str] = [] any_progress = False while worklist: next_id = worklist.pop() state = graph[next_id] assert state.tree is not None deferred, incomplete, progress = semantic_analyze_target( next_id, next_id, state, state.tree, None, final_iteration, patches ) all_deferred += deferred any_progress = any_progress or progress if not incomplete: state.manager.incomplete_namespaces.discard(next_id) if final_iteration: assert not all_deferred, "Must not defer during final iteration" # Reverse to process the targets in the same order on every iteration. This avoids # processing the same target twice in a row, which is inefficient. worklist = list(reversed(all_deferred)) final_iteration = not any_progress def order_by_subclassing(targets: list[FullTargetInfo]) -> Iterator[FullTargetInfo]: """Make sure that superclass methods are always processed before subclass methods. This algorithm is not very optimal, but it is simple and should work well for lists that are already almost correctly ordered. """ # First, group the targets by their TypeInfo (since targets are sorted by line, # we know that each TypeInfo will appear as group key only once). grouped = [(k, list(g)) for k, g in groupby(targets, key=lambda x: x[3])] remaining_infos = {info for info, _ in grouped if info is not None} next_group = 0 while grouped: if next_group >= len(grouped): # This should never happen, if there is an MRO cycle, it should be reported # and fixed during top-level processing. raise ValueError("Cannot order method targets by MRO") next_info, group = grouped[next_group] if next_info is None: # Trivial case, not methods but functions, process them straight away. yield from group grouped.pop(next_group) continue if any(parent in remaining_infos for parent in next_info.mro[1:]): # We cannot process this method group yet, try a next one. next_group += 1 continue yield from group grouped.pop(next_group) remaining_infos.discard(next_info) # Each time after processing a method group we should retry from start, # since there may be some groups that are not blocked on parents anymore. next_group = 0 def process_functions(graph: Graph, scc: list[str], patches: Patches) -> None: # Process functions. all_targets = [] for module in scc: tree = graph[module].tree assert tree is not None # In principle, functions can be processed in arbitrary order, # but _methods_ must be processed in the order they are defined, # because some features (most notably partial types) depend on # order of definitions on self. # # There can be multiple generated methods per line. Use target # name as the second sort key to get a repeatable sort order. targets = sorted(get_all_leaf_targets(tree), key=lambda x: (x[1].line, x[0])) all_targets.extend( [(module, target, node, active_type) for target, node, active_type in targets] ) for module, target, node, active_type in order_by_subclassing(all_targets): analyzer = graph[module].manager.semantic_analyzer assert isinstance(node, (FuncDef, OverloadedFuncDef, Decorator)), node process_top_level_function( analyzer, graph[module], module, target, node, active_type, patches ) def process_top_level_function( analyzer: SemanticAnalyzer, state: State, module: str, target: str, node: FuncDef | OverloadedFuncDef | Decorator, active_type: TypeInfo | None, patches: Patches, ) -> None: """Analyze single top-level function or method. Process the body of the function (including nested functions) again and again, until all names have been resolved (or iteration limit reached). """ # We need one more iteration after incomplete is False (e.g. to report errors, if any). final_iteration = False incomplete = True # Start in the incomplete state (no missing names will be reported on first pass). # Note that we use module name, since functions don't create qualified names. deferred = [module] analyzer.deferral_debug_context.clear() analyzer.incomplete_namespaces.add(module) iteration = 0 while deferred: iteration += 1 if iteration == MAX_ITERATIONS: # Just pick some module inside the current SCC for error context. assert state.tree is not None with analyzer.file_context(state.tree, state.options): analyzer.report_hang() break if not (deferred or incomplete) or final_iteration: # OK, this is one last pass, now missing names will be reported. analyzer.incomplete_namespaces.discard(module) deferred, incomplete, progress = semantic_analyze_target( target, module, state, node, active_type, final_iteration, patches ) if not incomplete: state.manager.incomplete_namespaces.discard(module) if final_iteration: assert not deferred, "Must not defer during final iteration" if not progress: final_iteration = True analyzer.incomplete_namespaces.discard(module) # After semantic analysis is done, discard local namespaces # to avoid memory hoarding. analyzer.saved_locals.clear() TargetInfo: _TypeAlias = tuple[ str, Union[MypyFile, FuncDef, OverloadedFuncDef, Decorator], Optional[TypeInfo] ] # Same as above but includes module as first item. FullTargetInfo: _TypeAlias = tuple[ str, str, Union[MypyFile, FuncDef, OverloadedFuncDef, Decorator], Optional[TypeInfo] ] def get_all_leaf_targets(file: MypyFile) -> list[TargetInfo]: """Return all leaf targets in a symbol table (module-level and methods).""" result: list[TargetInfo] = [] for fullname, node, active_type in file.local_definitions(): if isinstance(node.node, (FuncDef, OverloadedFuncDef, Decorator)): result.append((fullname, node.node, active_type)) return result def semantic_analyze_target( target: str, module: str, state: State, node: MypyFile | FuncDef | OverloadedFuncDef | Decorator, active_type: TypeInfo | None, final_iteration: bool, patches: Patches, ) -> tuple[list[str], bool, bool]: """Semantically analyze a single target. Return tuple with these items: - list of deferred targets - was some definition incomplete (need to run another pass) - were any new names defined (or placeholders replaced) """ state.manager.processed_targets.append((module, target)) tree = state.tree assert tree is not None analyzer = state.manager.semantic_analyzer # TODO: Move initialization to somewhere else analyzer.global_decls = [set()] analyzer.nonlocal_decls = [set()] analyzer.globals = tree.names analyzer.imports = set() analyzer.progress = False with state.wrap_context(check_blockers=False): refresh_node = node if isinstance(refresh_node, Decorator): # Decorator expressions will be processed as part of the module top level. refresh_node = refresh_node.func analyzer.refresh_partial( refresh_node, patches, final_iteration, file_node=tree, options=state.options, active_type=active_type, ) if isinstance(node, Decorator): infer_decorator_signature_if_simple(node, analyzer) for dep in analyzer.imports: state.add_dependency(dep) priority = mypy.build.PRI_LOW if priority <= state.priorities.get(dep, priority): state.priorities[dep] = priority # Clear out some stale data to avoid memory leaks and astmerge # validity check confusion analyzer.statement = None del analyzer.cur_mod_node if analyzer.deferred: return [target], analyzer.incomplete, analyzer.progress else: return [], analyzer.incomplete, analyzer.progress def check_type_arguments(graph: Graph, scc: list[str], errors: Errors) -> None: for module in scc: state = graph[module] assert state.tree analyzer = TypeArgumentAnalyzer( errors, state.options, state.tree.is_typeshed_file(state.options), state.manager.semantic_analyzer.named_type, ) with state.wrap_context(): with mypy.state.state.strict_optional_set(state.options.strict_optional): state.tree.accept(analyzer) def check_type_arguments_in_targets( targets: list[FineGrainedDeferredNode], state: State, errors: Errors ) -> None: """Check type arguments against type variable bounds and restrictions. This mirrors the logic in check_type_arguments() except that we process only some targets. This is used in fine grained incremental mode. """ analyzer = TypeArgumentAnalyzer( errors, state.options, is_typeshed_file(state.options.abs_custom_typeshed_dir, state.path or ""), state.manager.semantic_analyzer.named_type, ) with state.wrap_context(): with mypy.state.state.strict_optional_set(state.options.strict_optional): for target in targets: func: FuncDef | OverloadedFuncDef | None = None if isinstance(target.node, (FuncDef, OverloadedFuncDef)): func = target.node saved = (state.id, target.active_typeinfo, func) # module, class, function with errors.scope.saved_scope(saved) if errors.scope else nullcontext(): analyzer.recurse_into_functions = func is not None target.node.accept(analyzer) def apply_class_plugin_hooks(graph: Graph, scc: list[str], errors: Errors) -> None: """Apply class plugin hooks within a SCC. We run these after to the main semantic analysis so that the hooks don't need to deal with incomplete definitions such as placeholder types. Note that some hooks incorrectly run during the main semantic analysis pass, for historical reasons. """ num_passes = 0 incomplete = True # If we encounter a base class that has not been processed, we'll run another # pass. This should eventually reach a fixed point. while incomplete: assert num_passes < 10, "Internal error: too many class plugin hook passes" num_passes += 1 incomplete = False for module in scc: state = graph[module] tree = state.tree assert tree for _, node, _ in tree.local_definitions(): if isinstance(node.node, TypeInfo): if not apply_hooks_to_class( state.manager.semantic_analyzer, module, node.node, state.options, tree, errors, ): incomplete = True def apply_hooks_to_class( self: SemanticAnalyzer, module: str, info: TypeInfo, options: Options, file_node: MypyFile, errors: Errors, ) -> bool: # TODO: Move more class-related hooks here? defn = info.defn ok = True for decorator in defn.decorators: with self.file_context(file_node, options, info): hook = None decorator_name = self.get_fullname_for_hook(decorator) if decorator_name: hook = self.plugin.get_class_decorator_hook_2(decorator_name) # Special case: if the decorator is itself decorated with # typing.dataclass_transform, apply the hook for the dataclasses plugin # TODO: remove special casing here if hook is None and find_dataclass_transform_spec(decorator): hook = dataclasses_plugin.dataclass_class_maker_callback if hook: ok = ok and hook(ClassDefContext(defn, decorator, self)) # Check if the class definition itself triggers a dataclass transform (via a parent class/ # metaclass) spec = find_dataclass_transform_spec(info) if spec is not None: with self.file_context(file_node, options, info): # We can't use the normal hook because reason = defn, and ClassDefContext only accepts # an Expression for reason ok = ok and dataclasses_plugin.DataclassTransformer(defn, defn, spec, self).transform() return ok def calculate_class_properties(graph: Graph, scc: list[str], errors: Errors) -> None: builtins = graph["builtins"].tree assert builtins for module in scc: state = graph[module] tree = state.tree assert tree for _, node, _ in tree.local_definitions(): if isinstance(node.node, TypeInfo): with state.manager.semantic_analyzer.file_context(tree, state.options, node.node): calculate_class_abstract_status(node.node, tree.is_stub, errors) check_protocol_status(node.node, errors) calculate_class_vars(node.node) add_type_promotion( node.node, tree.names, graph[module].options, builtins.names ) def check_blockers(graph: Graph, scc: list[str]) -> None: for module in scc: graph[module].check_blockers() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_namedtuple.py0000644000175100017510000007525615112307767017504 0ustar00runnerrunner"""Semantic analysis of named tuple definitions. This is conceptually part of mypy.semanal. """ from __future__ import annotations import keyword from collections.abc import Container, Iterator, Mapping from contextlib import contextmanager from typing import Final, cast from mypy.errorcodes import ARG_TYPE, ErrorCode from mypy.exprtotype import TypeTranslationError, expr_to_unanalyzed_type from mypy.messages import MessageBuilder from mypy.nodes import ( ARG_NAMED_OPT, ARG_OPT, ARG_POS, MDEF, Argument, AssignmentStmt, Block, CallExpr, ClassDef, Context, Decorator, EllipsisExpr, Expression, ExpressionStmt, FuncBase, FuncDef, ListExpr, NamedTupleExpr, NameExpr, PassStmt, PlaceholderNode, RefExpr, Statement, StrExpr, SymbolTable, SymbolTableNode, TempNode, TupleExpr, TypeInfo, TypeVarExpr, Var, is_StrExpr_list, ) from mypy.options import Options from mypy.semanal_shared import ( PRIORITY_FALLBACKS, SemanticAnalyzerInterface, calculate_tuple_fallback, has_placeholder, set_callable_name, ) from mypy.types import ( TYPED_NAMEDTUPLE_NAMES, AnyType, CallableType, LiteralType, TupleType, Type, TypeOfAny, TypeType, TypeVarId, TypeVarLikeType, TypeVarType, UnboundType, has_type_vars, ) from mypy.util import get_unique_redefinition_name # Matches "_prohibited" in typing.py, but adds __annotations__, which works at runtime but can't # easily be supported in a static checker. NAMEDTUPLE_PROHIBITED_NAMES: Final = ( "__new__", "__init__", "__slots__", "__getnewargs__", "_fields", "_field_defaults", "_field_types", "_make", "_replace", "_asdict", "_source", "__annotations__", ) NAMEDTUP_CLASS_ERROR: Final = ( 'Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]"' ) SELF_TVAR_NAME: Final = "_NT" class NamedTupleAnalyzer: def __init__( self, options: Options, api: SemanticAnalyzerInterface, msg: MessageBuilder ) -> None: self.options = options self.api = api self.msg = msg def analyze_namedtuple_classdef( self, defn: ClassDef, is_stub_file: bool, is_func_scope: bool ) -> tuple[bool, TypeInfo | None]: """Analyze if given class definition can be a named tuple definition. Return a tuple where first item indicates whether this can possibly be a named tuple, and the second item is the corresponding TypeInfo (may be None if not ready and should be deferred). """ for base_expr in defn.base_type_exprs: if isinstance(base_expr, RefExpr): self.api.accept(base_expr) if base_expr.fullname in TYPED_NAMEDTUPLE_NAMES: result = self.check_namedtuple_classdef(defn, is_stub_file) if result is None: # This is a valid named tuple, but some types are incomplete. return True, None items, types, default_items, statements = result if is_func_scope and "@" not in defn.name: defn.name += "@" + str(defn.line) existing_info = None if isinstance(defn.analyzed, NamedTupleExpr): existing_info = defn.analyzed.info info = self.build_namedtuple_typeinfo( defn.name, items, types, default_items, defn.line, existing_info ) defn.analyzed = NamedTupleExpr(info, is_typed=True) defn.analyzed.line = defn.line defn.analyzed.column = defn.column defn.defs.body = statements # All done: this is a valid named tuple with all types known. return True, info # This can't be a valid named tuple. return False, None def check_namedtuple_classdef( self, defn: ClassDef, is_stub_file: bool ) -> tuple[list[str], list[Type], dict[str, Expression], list[Statement]] | None: """Parse and validate fields in named tuple class definition. Return a four tuple: * field names * field types * field default values * valid statements or None, if any of the types are not ready. """ if len(defn.base_type_exprs) > 1: self.fail("NamedTuple should be a single base", defn) items: list[str] = [] types: list[Type] = [] default_items: dict[str, Expression] = {} statements: list[Statement] = [] for stmt in defn.defs.body: statements.append(stmt) if not isinstance(stmt, AssignmentStmt): # Still allow pass or ... (for empty namedtuples). if isinstance(stmt, PassStmt) or ( isinstance(stmt, ExpressionStmt) and isinstance(stmt.expr, EllipsisExpr) ): continue # Also allow methods, including decorated ones. if isinstance(stmt, (Decorator, FuncBase)): continue # And docstrings. if isinstance(stmt, ExpressionStmt) and isinstance(stmt.expr, StrExpr): continue statements.pop() defn.removed_statements.append(stmt) self.fail(NAMEDTUP_CLASS_ERROR, stmt) elif len(stmt.lvalues) > 1 or not isinstance(stmt.lvalues[0], NameExpr): # An assignment, but an invalid one. statements.pop() defn.removed_statements.append(stmt) self.fail(NAMEDTUP_CLASS_ERROR, stmt) else: # Append name and type in this case... name = stmt.lvalues[0].name items.append(name) if stmt.type is None: types.append(AnyType(TypeOfAny.unannotated)) else: # We never allow recursive types at function scope. Although it is # possible to support this for named tuples, it is still tricky, and # it would be inconsistent with type aliases. analyzed = self.api.anal_type( stmt.type, allow_placeholder=not self.api.is_func_scope(), prohibit_self_type="NamedTuple item type", prohibit_special_class_field_types="NamedTuple", ) if analyzed is None: # Something is incomplete. We need to defer this named tuple. return None types.append(analyzed) # ...despite possible minor failures that allow further analysis. if name.startswith("_"): self.fail( f"NamedTuple field name cannot start with an underscore: {name}", stmt ) if stmt.type is None or hasattr(stmt, "new_syntax") and not stmt.new_syntax: self.fail(NAMEDTUP_CLASS_ERROR, stmt) elif isinstance(stmt.rvalue, TempNode): # x: int assigns rvalue to TempNode(AnyType()) if default_items: self.fail( "Non-default NamedTuple fields cannot follow default fields", stmt ) else: default_items[name] = stmt.rvalue if defn.keywords: for_function = ' for "__init_subclass__" of "NamedTuple"' for key in defn.keywords: self.msg.unexpected_keyword_argument_for_function(for_function, key, defn) return items, types, default_items, statements def check_namedtuple( self, node: Expression, var_name: str | None, is_func_scope: bool ) -> tuple[str | None, TypeInfo | None, list[TypeVarLikeType]]: """Check if a call defines a namedtuple. The optional var_name argument is the name of the variable to which this is assigned, if any. Return a tuple of two items: * Internal name of the named tuple (e.g. the name passed as an argument to namedtuple) or None if it is not a valid named tuple * Corresponding TypeInfo, or None if not ready. If the definition is invalid but looks like a namedtuple, report errors but return (some) TypeInfo. """ if not isinstance(node, CallExpr): return None, None, [] call = node callee = call.callee if not isinstance(callee, RefExpr): return None, None, [] fullname = callee.fullname if fullname == "collections.namedtuple": is_typed = False elif fullname in TYPED_NAMEDTUPLE_NAMES: is_typed = True else: return None, None, [] result = self.parse_namedtuple_args(call, fullname) if result: items, types, defaults, typename, tvar_defs, ok = result else: # Error. Construct dummy return value. if var_name: name = var_name if is_func_scope: name += "@" + str(call.line) else: name = var_name = "namedtuple@" + str(call.line) info = self.build_namedtuple_typeinfo(name, [], [], {}, node.line, None) self.store_namedtuple_info(info, var_name, call, is_typed) if name != var_name or is_func_scope: # NOTE: we skip local namespaces since they are not serialized. self.api.add_symbol_skip_local(name, info) return var_name, info, [] if not ok: # This is a valid named tuple but some types are not ready. return typename, None, [] # We use the variable name as the class name if it exists. If # it doesn't, we use the name passed as an argument. We prefer # the variable name because it should be unique inside a # module, and so we don't need to disambiguate it with a line # number. if var_name: name = var_name else: name = typename if var_name is None or is_func_scope: # There are two special cases where need to give it a unique name derived # from the line number: # * This is a base class expression, since it often matches the class name: # class NT(NamedTuple('NT', [...])): # ... # * This is a local (function or method level) named tuple, since # two methods of a class can define a named tuple with the same name, # and they will be stored in the same namespace (see below). name += "@" + str(call.line) if defaults: default_items = { arg_name: default for arg_name, default in zip(items[-len(defaults) :], defaults) } else: default_items = {} existing_info = None if isinstance(node.analyzed, NamedTupleExpr): existing_info = node.analyzed.info info = self.build_namedtuple_typeinfo( name, items, types, default_items, node.line, existing_info ) # If var_name is not None (i.e. this is not a base class expression), we always # store the generated TypeInfo under var_name in the current scope, so that # other definitions can use it. if var_name: self.store_namedtuple_info(info, var_name, call, is_typed) else: call.analyzed = NamedTupleExpr(info, is_typed=is_typed) call.analyzed.set_line(call) # There are three cases where we need to store the generated TypeInfo # second time (for the purpose of serialization): # * If there is a name mismatch like One = NamedTuple('Other', [...]) # we also store the info under name 'Other@lineno', this is needed # because classes are (de)serialized using their actual fullname, not # the name of l.h.s. # * If this is a method level named tuple. It can leak from the method # via assignment to self attribute and therefore needs to be serialized # (local namespaces are not serialized). # * If it is a base class expression. It was not stored above, since # there is no var_name (but it still needs to be serialized # since it is in MRO of some class). if name != var_name or is_func_scope: # NOTE: we skip local namespaces since they are not serialized. self.api.add_symbol_skip_local(name, info) return typename, info, tvar_defs def store_namedtuple_info( self, info: TypeInfo, name: str, call: CallExpr, is_typed: bool ) -> None: self.api.add_symbol(name, info, call) call.analyzed = NamedTupleExpr(info, is_typed=is_typed) call.analyzed.set_line(call) def parse_namedtuple_args( self, call: CallExpr, fullname: str ) -> None | (tuple[list[str], list[Type], list[Expression], str, list[TypeVarLikeType], bool]): """Parse a namedtuple() call into data needed to construct a type. Returns a 6-tuple: - List of argument names - List of argument types - List of default values - First argument of namedtuple - All typevars found in the field definition - Whether all types are ready. Return None if the definition didn't typecheck. """ type_name = "NamedTuple" if fullname in TYPED_NAMEDTUPLE_NAMES else "namedtuple" # TODO: Share code with check_argument_count in checkexpr.py? args = call.args if len(args) < 2: self.fail(f'Too few arguments for "{type_name}()"', call) return None defaults: list[Expression] = [] rename = False if len(args) > 2: # Typed namedtuple doesn't support additional arguments. if fullname in TYPED_NAMEDTUPLE_NAMES: self.fail('Too many arguments for "NamedTuple()"', call) return None for i, arg_name in enumerate(call.arg_names[2:], 2): if arg_name == "defaults": arg = args[i] # We don't care what the values are, as long as the argument is an iterable # and we can count how many defaults there are. if isinstance(arg, (ListExpr, TupleExpr)): defaults = list(arg.items) else: self.fail( "List or tuple literal expected as the defaults argument to " "{}()".format(type_name), arg, ) elif arg_name == "rename": arg = args[i] if isinstance(arg, NameExpr) and arg.name in ("True", "False"): rename = arg.name == "True" else: self.fail( f'Boolean literal expected as the "rename" argument to {type_name}()', arg, code=ARG_TYPE, ) if call.arg_kinds[:2] != [ARG_POS, ARG_POS]: self.fail(f'Unexpected arguments to "{type_name}()"', call) return None if not isinstance(args[0], StrExpr): self.fail(f'"{type_name}()" expects a string literal as the first argument', call) return None typename = args[0].value types: list[Type] = [] tvar_defs = [] if not isinstance(args[1], (ListExpr, TupleExpr)): if fullname == "collections.namedtuple" and isinstance(args[1], StrExpr): str_expr = args[1] items = str_expr.value.replace(",", " ").split() else: self.fail( 'List or tuple literal expected as the second argument to "{}()"'.format( type_name ), call, ) return None else: listexpr = args[1] if fullname == "collections.namedtuple": # The fields argument contains just names, with implicit Any types. if not is_StrExpr_list(listexpr.items): self.fail('String literal expected as "namedtuple()" item', call) return None items = [item.value for item in listexpr.items] else: type_exprs = [ t.items[1] for t in listexpr.items if isinstance(t, TupleExpr) and len(t.items) == 2 ] tvar_defs = self.api.get_and_bind_all_tvars(type_exprs) # The fields argument contains (name, type) tuples. result = self.parse_namedtuple_fields_with_types(listexpr.items, call) if result is None: # One of the types is not ready, defer. return None items, types, _, ok = result if not ok: return [], [], [], typename, [], False if not types: types = [AnyType(TypeOfAny.unannotated) for _ in items] processed_items = [] seen_names: set[str] = set() for i, item in enumerate(items): problem = self.check_namedtuple_field_name(item, seen_names) if problem is None: processed_items.append(item) seen_names.add(item) else: if not rename: self.fail(f'"{type_name}()" {problem}', call) # Even if rename=False, we pretend that it is True. # At runtime namedtuple creation would throw an error; # applying the rename logic means we create a more sensible # namedtuple. new_name = f"_{i}" processed_items.append(new_name) seen_names.add(new_name) if len(defaults) > len(items): self.fail(f'Too many defaults given in call to "{type_name}()"', call) defaults = defaults[: len(items)] return processed_items, types, defaults, typename, tvar_defs, True def parse_namedtuple_fields_with_types( self, nodes: list[Expression], context: Context ) -> tuple[list[str], list[Type], list[Expression], bool] | None: """Parse typed named tuple fields. Return (names, types, defaults, whether types are all ready), or None if error occurred. """ items: list[str] = [] types: list[Type] = [] for item in nodes: if isinstance(item, TupleExpr): if len(item.items) != 2: self.fail('Invalid "NamedTuple()" field definition', item) return None name, type_node = item.items if isinstance(name, StrExpr): items.append(name.value) else: self.fail('Invalid "NamedTuple()" field name', item) return None try: type = expr_to_unanalyzed_type(type_node, self.options, self.api.is_stub_file) except TypeTranslationError: self.fail("Invalid field type", type_node) return None # We never allow recursive types at function scope. analyzed = self.api.anal_type( type, allow_placeholder=not self.api.is_func_scope(), prohibit_self_type="NamedTuple item type", prohibit_special_class_field_types="NamedTuple", ) # Workaround #4987 and avoid introducing a bogus UnboundType if isinstance(analyzed, UnboundType): analyzed = AnyType(TypeOfAny.from_error) # These should be all known, otherwise we would defer in visit_assignment_stmt(). if analyzed is None: return [], [], [], False types.append(analyzed) else: self.fail('Tuple expected as "NamedTuple()" field', item) return None return items, types, [], True def build_namedtuple_typeinfo( self, name: str, items: list[str], types: list[Type], default_items: Mapping[str, Expression], line: int, existing_info: TypeInfo | None, ) -> TypeInfo: strtype = self.api.named_type("builtins.str") implicit_any = AnyType(TypeOfAny.special_form) basetuple_type = self.api.named_type("builtins.tuple", [implicit_any]) dictype = self.api.named_type("builtins.dict", [strtype, implicit_any]) # Actual signature should return OrderedDict[str, Union[types]] ordereddictype = self.api.named_type("builtins.dict", [strtype, implicit_any]) fallback = self.api.named_type("builtins.tuple", [implicit_any]) # Note: actual signature should accept an invariant version of Iterable[UnionType[types]]. # but it can't be expressed. 'new' and 'len' should be callable types. iterable_type = self.api.named_type_or_none("typing.Iterable", [implicit_any]) function_type = self.api.named_type("builtins.function") literals: list[Type] = [LiteralType(item, strtype) for item in items] match_args_type = TupleType(literals, basetuple_type) info = existing_info or self.api.basic_new_typeinfo(name, fallback, line) info.is_named_tuple = True tuple_base = TupleType(types, fallback) if info.special_alias and has_placeholder(info.special_alias.target): self.api.process_placeholder( None, "NamedTuple item", info, force_progress=tuple_base != info.tuple_type ) info.update_tuple_type(tuple_base) info.line = line # For use by mypyc. info.metadata["namedtuple"] = {"fields": items.copy()} # We can't calculate the complete fallback type until after semantic # analysis, since otherwise base classes might be incomplete. Postpone a # callback function that patches the fallback. if not has_placeholder(tuple_base) and not has_type_vars(tuple_base): self.api.schedule_patch( PRIORITY_FALLBACKS, lambda: calculate_tuple_fallback(tuple_base) ) def add_field( var: Var, is_initialized_in_class: bool = False, is_property: bool = False ) -> None: var.info = info var.is_initialized_in_class = is_initialized_in_class var.is_property = is_property var._fullname = f"{info.fullname}.{var.name}" info.names[var.name] = SymbolTableNode(MDEF, var) fields = [Var(item, typ) for item, typ in zip(items, types)] for var in fields: add_field(var, is_property=True) # We can't share Vars between fields and method arguments, since they # have different full names (the latter are normally used as local variables # in functions, so their full names are set to short names when generated methods # are analyzed). vars = [Var(item, typ) for item, typ in zip(items, types)] tuple_of_strings = TupleType([strtype for _ in items], basetuple_type) add_field(Var("_fields", tuple_of_strings), is_initialized_in_class=True) add_field(Var("_field_types", dictype), is_initialized_in_class=True) add_field(Var("_field_defaults", dictype), is_initialized_in_class=True) add_field(Var("_source", strtype), is_initialized_in_class=True) add_field(Var("__annotations__", ordereddictype), is_initialized_in_class=True) add_field(Var("__doc__", strtype), is_initialized_in_class=True) if self.options.python_version >= (3, 10): add_field(Var("__match_args__", match_args_type), is_initialized_in_class=True) assert info.tuple_type is not None # Set by update_tuple_type() above. shared_self_type = TypeVarType( name=SELF_TVAR_NAME, fullname=f"{info.fullname}.{SELF_TVAR_NAME}", # Namespace is patched per-method below. id=self.api.tvar_scope.new_unique_func_id(), values=[], upper_bound=info.tuple_type, default=AnyType(TypeOfAny.from_omitted_generics), ) def add_method( funcname: str, ret: Type | None, # None means use (patched) self-type args: list[Argument], is_classmethod: bool = False, is_new: bool = False, ) -> None: fullname = f"{info.fullname}.{funcname}" self_type = shared_self_type.copy_modified( id=TypeVarId(shared_self_type.id.raw_id, namespace=fullname) ) if ret is None: ret = self_type if is_classmethod or is_new: first = [Argument(Var("_cls"), TypeType.make_normalized(self_type), None, ARG_POS)] else: first = [Argument(Var("_self"), self_type, None, ARG_POS)] args = first + args types = [arg.type_annotation for arg in args] items = [arg.variable.name for arg in args] arg_kinds = [arg.kind for arg in args] assert None not in types signature = CallableType(cast(list[Type], types), arg_kinds, items, ret, function_type) signature.variables = (self_type,) func = FuncDef(funcname, args, Block([])) func.info = info func.is_class = is_classmethod func.type = set_callable_name(signature, func) func._fullname = fullname func.line = line if is_classmethod: v = Var(funcname, func.type) v.is_classmethod = True v.info = info v._fullname = func._fullname func.is_decorated = True dec = Decorator(func, [NameExpr("classmethod")], v) dec.line = line sym = SymbolTableNode(MDEF, dec) else: sym = SymbolTableNode(MDEF, func) sym.plugin_generated = True info.names[funcname] = sym add_method( "_replace", ret=None, args=[Argument(var, var.type, EllipsisExpr(), ARG_NAMED_OPT) for var in vars], ) if self.options.python_version >= (3, 13): add_method( "__replace__", ret=None, args=[Argument(var, var.type, EllipsisExpr(), ARG_NAMED_OPT) for var in vars], ) def make_init_arg(var: Var) -> Argument: default = default_items.get(var.name, None) kind = ARG_POS if default is None else ARG_OPT return Argument(var, var.type, default, kind) add_method("__new__", ret=None, args=[make_init_arg(var) for var in vars], is_new=True) add_method("_asdict", args=[], ret=ordereddictype) add_method( "_make", ret=None, is_classmethod=True, args=[Argument(Var("iterable", iterable_type), iterable_type, None, ARG_POS)], ) self_tvar_expr = TypeVarExpr( SELF_TVAR_NAME, info.fullname + "." + SELF_TVAR_NAME, [], info.tuple_type, AnyType(TypeOfAny.from_omitted_generics), ) info.names[SELF_TVAR_NAME] = SymbolTableNode(MDEF, self_tvar_expr) return info @contextmanager def save_namedtuple_body(self, named_tuple_info: TypeInfo) -> Iterator[None]: """Preserve the generated body of class-based named tuple and then restore it. Temporarily clear the names dict so we don't get errors about duplicate names that were already set in build_namedtuple_typeinfo (we already added the tuple field names while generating the TypeInfo, and actual duplicates are already reported). """ nt_names = named_tuple_info.names named_tuple_info.names = SymbolTable() yield # Make sure we didn't use illegal names, then reset the names in the typeinfo. for prohibited in NAMEDTUPLE_PROHIBITED_NAMES: if prohibited in named_tuple_info.names: if nt_names.get(prohibited) is named_tuple_info.names[prohibited]: continue ctx = named_tuple_info.names[prohibited].node assert ctx is not None self.fail(f'Cannot overwrite NamedTuple attribute "{prohibited}"', ctx) # Restore the names in the original symbol table. This ensures that the symbol # table contains the field objects created by build_namedtuple_typeinfo. Exclude # __doc__, which can legally be overwritten by the class. for key, value in nt_names.items(): if key in named_tuple_info.names: if key == "__doc__": continue sym = named_tuple_info.names[key] if isinstance(sym.node, (FuncBase, Decorator)) and not sym.plugin_generated: # Keep user-defined methods as is. continue # Do not retain placeholders - we'll get back here if they cease to # be placeholders later. If we keep placeholders alive, they may never # be reached again, making it to cacheable symtable. if not isinstance(sym.node, PlaceholderNode): # Keep existing (user-provided) definitions under mangled names, so they # get semantically analyzed. r_key = get_unique_redefinition_name(key, named_tuple_info.names) named_tuple_info.names[r_key] = sym named_tuple_info.names[key] = value # Helpers def check_namedtuple_field_name(self, field: str, seen_names: Container[str]) -> str | None: """Return None for valid fields, a string description for invalid ones.""" if field in seen_names: return f'has duplicate field name "{field}"' elif not field.isidentifier(): return f'field name "{field}" is not a valid identifier' elif field.startswith("_"): return f'field name "{field}" starts with an underscore' elif keyword.iskeyword(field): return f'field name "{field}" is a keyword' return None def fail(self, msg: str, ctx: Context, code: ErrorCode | None = None) -> None: self.api.fail(msg, ctx, code=code) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_newtype.py0000644000175100017510000002452015112307767017025 0ustar00runnerrunner"""Semantic analysis of NewType definitions. This is conceptually part of mypy.semanal (semantic analyzer pass 2). """ from __future__ import annotations from mypy import errorcodes as codes from mypy.errorcodes import ErrorCode from mypy.exprtotype import TypeTranslationError, expr_to_unanalyzed_type from mypy.messages import MessageBuilder, format_type from mypy.nodes import ( ARG_POS, MDEF, Argument, AssignmentStmt, Block, CallExpr, Context, FuncDef, NameExpr, NewTypeExpr, PlaceholderNode, RefExpr, StrExpr, SymbolTableNode, TypeInfo, Var, ) from mypy.options import Options from mypy.semanal_shared import SemanticAnalyzerInterface, has_placeholder from mypy.typeanal import check_for_explicit_any, has_any_from_unimported_type from mypy.types import ( AnyType, CallableType, Instance, NoneType, PlaceholderType, TupleType, Type, TypeOfAny, get_proper_type, ) class NewTypeAnalyzer: def __init__( self, options: Options, api: SemanticAnalyzerInterface, msg: MessageBuilder ) -> None: self.options = options self.api = api self.msg = msg def process_newtype_declaration(self, s: AssignmentStmt) -> bool: """Check if s declares a NewType; if yes, store it in symbol table. Return True if it's a NewType declaration. The current target may be deferred as a side effect if the base type is not ready, even if the return value is True. The logic in this function mostly copies the logic for visit_class_def() with a single (non-Generic) base. """ var_name, call = self.analyze_newtype_declaration(s) if var_name is None or call is None: return False name = var_name # OK, now we know this is a NewType. But the base type may be not ready yet, # add placeholder as we do for ClassDef. if self.api.is_func_scope(): name += "@" + str(s.line) fullname = self.api.qualified_name(name) if not call.analyzed or isinstance(call.analyzed, NewTypeExpr) and not call.analyzed.info: # Start from labeling this as a future class, as we do for normal ClassDefs. placeholder = PlaceholderNode(fullname, s, s.line, becomes_typeinfo=True) self.api.add_symbol(var_name, placeholder, s, can_defer=False) old_type, should_defer = self.check_newtype_args(var_name, call, s) old_type = get_proper_type(old_type) if not isinstance(call.analyzed, NewTypeExpr): call.analyzed = NewTypeExpr(var_name, old_type, line=call.line, column=call.column) else: call.analyzed.old_type = old_type if old_type is None: if should_defer: # Base type is not ready. self.api.defer() return True # Create the corresponding class definition if the aliased type is subtypeable assert isinstance(call.analyzed, NewTypeExpr) if isinstance(old_type, TupleType): newtype_class_info = self.build_newtype_typeinfo( name, old_type, old_type.partial_fallback, s.line, call.analyzed.info ) newtype_class_info.update_tuple_type(old_type) elif isinstance(old_type, Instance): if old_type.type.is_protocol: self.fail("NewType cannot be used with protocol classes", s) newtype_class_info = self.build_newtype_typeinfo( name, old_type, old_type, s.line, call.analyzed.info ) else: if old_type is not None: message = "Argument 2 to NewType(...) must be subclassable (got {})" self.fail( message.format(format_type(old_type, self.options)), s, code=codes.VALID_NEWTYPE, ) # Otherwise the error was already reported. old_type = AnyType(TypeOfAny.from_error) object_type = self.api.named_type("builtins.object") newtype_class_info = self.build_newtype_typeinfo( name, old_type, object_type, s.line, call.analyzed.info ) newtype_class_info.fallback_to_any = True check_for_explicit_any( old_type, self.options, self.api.is_typeshed_stub_file, self.msg, context=s ) if self.options.disallow_any_unimported and has_any_from_unimported_type(old_type): self.msg.unimported_type_becomes_any("Argument 2 to NewType(...)", old_type, s) # If so, add it to the symbol table. assert isinstance(call.analyzed, NewTypeExpr) # As we do for normal classes, create the TypeInfo only once, then just # update base classes on next iterations (to get rid of placeholders there). if not call.analyzed.info: call.analyzed.info = newtype_class_info else: call.analyzed.info.bases = newtype_class_info.bases self.api.add_symbol(var_name, call.analyzed.info, s) if self.api.is_func_scope(): self.api.add_symbol_skip_local(name, call.analyzed.info) newtype_class_info.line = s.line return True def analyze_newtype_declaration(self, s: AssignmentStmt) -> tuple[str | None, CallExpr | None]: """Return the NewType call expression if `s` is a newtype declaration or None otherwise.""" name, call = None, None if ( len(s.lvalues) == 1 and isinstance(s.lvalues[0], NameExpr) and isinstance(s.rvalue, CallExpr) and isinstance(s.rvalue.callee, RefExpr) and (s.rvalue.callee.fullname in ("typing.NewType", "typing_extensions.NewType")) ): name = s.lvalues[0].name if s.type: self.fail("Cannot declare the type of a NewType declaration", s) names = self.api.current_symbol_table() existing = names.get(name) # Give a better error message than generic "Name already defined". if ( existing and not isinstance(existing.node, PlaceholderNode) and not s.rvalue.analyzed ): self.fail(f'Cannot redefine "{name}" as a NewType', s) # This dummy NewTypeExpr marks the call as sufficiently analyzed; it will be # overwritten later with a fully complete NewTypeExpr if there are no other # errors with the NewType() call. call = s.rvalue return name, call def check_newtype_args( self, name: str, call: CallExpr, context: Context ) -> tuple[Type | None, bool]: """Analyze base type in NewType call. Return a tuple (type, should defer). """ has_failed = False args, arg_kinds = call.args, call.arg_kinds if len(args) != 2 or arg_kinds[0] != ARG_POS or arg_kinds[1] != ARG_POS: self.fail("NewType(...) expects exactly two positional arguments", context) return None, False # Check first argument if not isinstance(args[0], StrExpr): self.fail("Argument 1 to NewType(...) must be a string literal", context) has_failed = True elif args[0].value != name: msg = 'String argument 1 "{}" to NewType(...) does not match variable name "{}"' self.fail(msg.format(args[0].value, name), context) has_failed = True # Check second argument msg = "Argument 2 to NewType(...) must be a valid type" try: unanalyzed_type = expr_to_unanalyzed_type(args[1], self.options, self.api.is_stub_file) except TypeTranslationError: self.fail(msg, context) return None, False # We want to use our custom error message (see above), so we suppress # the default error message for invalid types here. old_type = get_proper_type( self.api.anal_type( unanalyzed_type, report_invalid_types=False, allow_placeholder=not self.api.is_func_scope(), ) ) should_defer = False if isinstance(old_type, PlaceholderType): old_type = None if old_type is None: should_defer = True # The caller of this function assumes that if we return a Type, it's always # a valid one. So, we translate AnyTypes created from errors into None. if isinstance(old_type, AnyType) and old_type.is_from_error: self.fail(msg, context) return None, False return None if has_failed else old_type, should_defer def build_newtype_typeinfo( self, name: str, old_type: Type, base_type: Instance, line: int, existing_info: TypeInfo | None, ) -> TypeInfo: info = existing_info or self.api.basic_new_typeinfo(name, base_type, line) info.bases = [base_type] # Update in case there were nested placeholders. info.is_newtype = True # Add __init__ method args = [ Argument(Var("self"), NoneType(), None, ARG_POS), self.make_argument("item", old_type), ] signature = CallableType( arg_types=[Instance(info, []), old_type], arg_kinds=[arg.kind for arg in args], arg_names=["self", "item"], ret_type=NoneType(), fallback=self.api.named_type("builtins.function"), name=name, ) init_func = FuncDef("__init__", args, Block([]), typ=signature) init_func.info = info init_func._fullname = info.fullname + ".__init__" if not existing_info: updated = True else: previous_sym = info.names["__init__"].node assert isinstance(previous_sym, FuncDef) updated = old_type != previous_sym.arguments[1].variable.type info.names["__init__"] = SymbolTableNode(MDEF, init_func) if has_placeholder(old_type): self.api.process_placeholder(None, "NewType base", info, force_progress=updated) return info # Helpers def make_argument(self, name: str, type: Type) -> Argument: return Argument(Var(name), type, None, ARG_POS) def fail(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None: self.api.fail(msg, ctx, code=code) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_pass1.py0000644000175100017510000001272015112307767016360 0ustar00runnerrunner"""Block/import reachability analysis.""" from __future__ import annotations from mypy.nodes import ( AssertStmt, AssignmentStmt, Block, ClassDef, ExpressionStmt, ForStmt, FuncDef, IfStmt, Import, ImportAll, ImportFrom, MatchStmt, MypyFile, ReturnStmt, ) from mypy.options import Options from mypy.reachability import ( assert_will_always_fail, infer_reachability_of_if_statement, infer_reachability_of_match_statement, ) from mypy.traverser import TraverserVisitor class SemanticAnalyzerPreAnalysis(TraverserVisitor): """Analyze reachability of blocks and imports and other local things. This runs before semantic analysis, so names have not been bound. Imports are also not resolved yet, so we can only access the current module. This determines static reachability of blocks and imports due to version and platform checks, among others. The main entry point is 'visit_file'. Reachability of imports needs to be determined very early in the build since this affects which modules will ultimately be processed. Consider this example: import sys def do_stuff() -> None: if sys.version_info >= (3, 10): import xyz # Only available in Python 3.10+ xyz.whatever() ... The block containing 'import xyz' is unreachable in Python 3 mode. The import shouldn't be processed in Python 3 mode, even if the module happens to exist. """ def visit_file(self, file: MypyFile, fnam: str, mod_id: str, options: Options) -> None: self.platform = options.platform self.cur_mod_id = mod_id self.cur_mod_node = file self.options = options self.is_global_scope = True self.skipped_lines: set[int] = set() for i, defn in enumerate(file.defs): defn.accept(self) if isinstance(defn, AssertStmt) and assert_will_always_fail(defn, options): # We've encountered an assert that's always false, # e.g. assert sys.platform == 'lol'. Truncate the # list of statements. This mutates file.defs too. if i < len(file.defs) - 1: next_def, last = file.defs[i + 1], file.defs[-1] if last.end_line is not None: # We are on a Python version recent enough to support end lines. self.skipped_lines |= set(range(next_def.line, last.end_line + 1)) file.imports = [ i for i in file.imports if (i.line, i.column) <= (defn.line, defn.column) ] del file.defs[i + 1 :] break file.skipped_lines = self.skipped_lines def visit_func_def(self, node: FuncDef) -> None: old_global_scope = self.is_global_scope self.is_global_scope = False super().visit_func_def(node) self.is_global_scope = old_global_scope file_node = self.cur_mod_node if ( self.is_global_scope and file_node.is_stub and node.name == "__getattr__" and file_node.is_package_init_file() ): # __init__.pyi with __getattr__ means that any submodules are assumed # to exist, even if there is no stub. Note that we can't verify that the # return type is compatible, since we haven't bound types yet. file_node.is_partial_stub_package = True def visit_class_def(self, node: ClassDef) -> None: old_global_scope = self.is_global_scope self.is_global_scope = False super().visit_class_def(node) self.is_global_scope = old_global_scope def visit_import_from(self, node: ImportFrom) -> None: node.is_top_level = self.is_global_scope super().visit_import_from(node) def visit_import_all(self, node: ImportAll) -> None: node.is_top_level = self.is_global_scope super().visit_import_all(node) def visit_import(self, node: Import) -> None: node.is_top_level = self.is_global_scope super().visit_import(node) def visit_if_stmt(self, s: IfStmt) -> None: infer_reachability_of_if_statement(s, self.options) for expr in s.expr: expr.accept(self) for node in s.body: node.accept(self) if s.else_body: s.else_body.accept(self) def visit_block(self, b: Block) -> None: if b.is_unreachable: if b.end_line is not None: # We are on a Python version recent enough to support end lines. self.skipped_lines |= set(range(b.line, b.end_line + 1)) return super().visit_block(b) def visit_match_stmt(self, s: MatchStmt) -> None: infer_reachability_of_match_statement(s, self.options) for guard in s.guards: if guard is not None: guard.accept(self) for body in s.bodies: body.accept(self) # The remaining methods are an optimization: don't visit nested expressions # of common statements, since they can have no effect. def visit_assignment_stmt(self, s: AssignmentStmt) -> None: pass def visit_expression_stmt(self, s: ExpressionStmt) -> None: pass def visit_return_stmt(self, s: ReturnStmt) -> None: pass def visit_for_stmt(self, s: ForStmt) -> None: s.body.accept(self) if s.else_body is not None: s.else_body.accept(self) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_shared.py0000644000175100017510000003663015112307767016605 0ustar00runnerrunner"""Shared definitions used by different parts of semantic analysis.""" from __future__ import annotations from abc import abstractmethod from typing import Callable, Final, Literal, Protocol, overload from mypy_extensions import trait from mypy.errorcodes import LITERAL_REQ, ErrorCode from mypy.nodes import ( CallExpr, ClassDef, Context, DataclassTransformSpec, Decorator, Expression, FuncDef, NameExpr, Node, OverloadedFuncDef, RefExpr, SymbolNode, SymbolTable, SymbolTableNode, TypeInfo, ) from mypy.plugin import SemanticAnalyzerPluginInterface from mypy.tvar_scope import TypeVarLikeScope from mypy.type_visitor import ANY_STRATEGY, BoolTypeQuery from mypy.typeops import make_simplified_union from mypy.types import ( TPDICT_FB_NAMES, AnyType, FunctionLike, Instance, Parameters, ParamSpecFlavor, ParamSpecType, PlaceholderType, ProperType, TupleType, Type, TypeOfAny, TypeVarId, TypeVarLikeType, TypeVarTupleType, UnpackType, flatten_nested_tuples, get_proper_type, ) # Subclasses can override these Var attributes with incompatible types. This can also be # set for individual attributes using 'allow_incompatible_override' of Var. ALLOW_INCOMPATIBLE_OVERRIDE: Final = ("__slots__", "__deletable__", "__match_args__") # Priorities for ordering of patches within the "patch" phase of semantic analysis # (after the main pass): # Fix fallbacks (does subtype checks). PRIORITY_FALLBACKS: Final = 1 @trait class SemanticAnalyzerCoreInterface: """A core abstract interface to generic semantic analyzer functionality. This is implemented by both semantic analyzer passes 2 and 3. """ @abstractmethod def lookup_qualified( self, name: str, ctx: Context, suppress_errors: bool = False ) -> SymbolTableNode | None: raise NotImplementedError @abstractmethod def lookup_fully_qualified(self, fullname: str, /) -> SymbolTableNode: raise NotImplementedError @abstractmethod def lookup_fully_qualified_or_none(self, fullname: str, /) -> SymbolTableNode | None: raise NotImplementedError @abstractmethod def fail( self, msg: str, ctx: Context, serious: bool = False, *, blocker: bool = False, code: ErrorCode | None = None, ) -> None: raise NotImplementedError @abstractmethod def note(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None: raise NotImplementedError @abstractmethod def incomplete_feature_enabled(self, feature: str, ctx: Context) -> bool: raise NotImplementedError @abstractmethod def record_incomplete_ref(self) -> None: raise NotImplementedError @abstractmethod def defer(self, debug_context: Context | None = None, force_progress: bool = False) -> None: raise NotImplementedError @abstractmethod def is_incomplete_namespace(self, fullname: str) -> bool: """Is a module or class namespace potentially missing some definitions?""" raise NotImplementedError @property @abstractmethod def final_iteration(self) -> bool: """Is this the final iteration of semantic analysis?""" raise NotImplementedError @abstractmethod def is_future_flag_set(self, flag: str) -> bool: """Is the specific __future__ feature imported""" raise NotImplementedError @property @abstractmethod def is_stub_file(self) -> bool: raise NotImplementedError @abstractmethod def is_func_scope(self) -> bool: raise NotImplementedError @property @abstractmethod def type(self) -> TypeInfo | None: raise NotImplementedError @trait class SemanticAnalyzerInterface(SemanticAnalyzerCoreInterface): """A limited abstract interface to some generic semantic analyzer pass 2 functionality. We use this interface for various reasons: * Looser coupling * Cleaner import graph * Less need to pass around callback functions """ tvar_scope: TypeVarLikeScope @abstractmethod def lookup( self, name: str, ctx: Context, suppress_errors: bool = False ) -> SymbolTableNode | None: raise NotImplementedError @abstractmethod def named_type(self, fullname: str, args: list[Type] | None = None) -> Instance: raise NotImplementedError @abstractmethod def named_type_or_none(self, fullname: str, args: list[Type] | None = None) -> Instance | None: raise NotImplementedError @abstractmethod def accept(self, node: Node) -> None: raise NotImplementedError @abstractmethod def anal_type( self, typ: Type, /, *, tvar_scope: TypeVarLikeScope | None = None, allow_tuple_literal: bool = False, allow_unbound_tvars: bool = False, allow_typed_dict_special_forms: bool = False, allow_placeholder: bool = False, report_invalid_types: bool = True, prohibit_self_type: str | None = None, prohibit_special_class_field_types: str | None = None, ) -> Type | None: raise NotImplementedError @abstractmethod def get_and_bind_all_tvars(self, type_exprs: list[Expression]) -> list[TypeVarLikeType]: raise NotImplementedError @abstractmethod def basic_new_typeinfo(self, name: str, basetype_or_fallback: Instance, line: int) -> TypeInfo: raise NotImplementedError @abstractmethod def schedule_patch(self, priority: int, patch: Callable[[], None]) -> None: raise NotImplementedError @abstractmethod def add_symbol_table_node(self, name: str, symbol: SymbolTableNode) -> bool: """Add node to the current symbol table.""" raise NotImplementedError @abstractmethod def current_symbol_table(self) -> SymbolTable: """Get currently active symbol table. May be module, class, or local namespace. """ raise NotImplementedError @abstractmethod def add_symbol( self, name: str, node: SymbolNode, context: Context, module_public: bool = True, module_hidden: bool = False, can_defer: bool = True, ) -> bool: """Add symbol to the current symbol table.""" raise NotImplementedError @abstractmethod def add_symbol_skip_local(self, name: str, node: SymbolNode) -> None: """Add symbol to the current symbol table, skipping locals. This is used to store symbol nodes in a symbol table that is going to be serialized (local namespaces are not serialized). See implementation docstring for more details. """ raise NotImplementedError @abstractmethod def parse_bool(self, expr: Expression) -> bool | None: raise NotImplementedError @abstractmethod def qualified_name(self, name: str) -> str: raise NotImplementedError @property @abstractmethod def is_typeshed_stub_file(self) -> bool: raise NotImplementedError @abstractmethod def process_placeholder( self, name: str | None, kind: str, ctx: Context, force_progress: bool = False ) -> None: raise NotImplementedError def set_callable_name(sig: Type, fdef: FuncDef) -> ProperType: sig = get_proper_type(sig) if isinstance(sig, FunctionLike): if fdef.info: if fdef.info.fullname in TPDICT_FB_NAMES: # Avoid exposing the internal _TypedDict name. class_name = "TypedDict" else: class_name = fdef.info.name return sig.with_name(f"{fdef.name} of {class_name}") else: return sig.with_name(fdef.name) else: return sig def calculate_tuple_fallback(typ: TupleType) -> None: """Calculate a precise item type for the fallback of a tuple type. This must be called only after the main semantic analysis pass, since joins aren't available before that. Note that there is an apparent chicken and egg problem with respect to verifying type arguments against bounds. Verifying bounds might require fallbacks, but we might use the bounds to calculate the fallbacks. In practice this is not a problem, since the worst that can happen is that we have invalid type argument values, and these can happen in later stages as well (they will generate errors, but we don't prevent their existence). """ fallback = typ.partial_fallback assert fallback.type.fullname == "builtins.tuple" items = [] for item in flatten_nested_tuples(typ.items): # TODO: this duplicates some logic in typeops.tuple_fallback(). if isinstance(item, UnpackType): unpacked_type = get_proper_type(item.type) if isinstance(unpacked_type, TypeVarTupleType): unpacked_type = get_proper_type(unpacked_type.upper_bound) if ( isinstance(unpacked_type, Instance) and unpacked_type.type.fullname == "builtins.tuple" ): items.append(unpacked_type.args[0]) else: # This is called before semanal_typeargs.py fixes broken unpacks, # where the error should also be generated. items.append(AnyType(TypeOfAny.from_error)) else: items.append(item) fallback.args = (make_simplified_union(items),) class _NamedTypeCallback(Protocol): def __call__(self, fullname: str, args: list[Type] | None = None) -> Instance: ... def paramspec_args( name: str, fullname: str, id: TypeVarId, *, named_type_func: _NamedTypeCallback, line: int = -1, column: int = -1, prefix: Parameters | None = None, ) -> ParamSpecType: return ParamSpecType( name, fullname, id, flavor=ParamSpecFlavor.ARGS, upper_bound=named_type_func("builtins.tuple", [named_type_func("builtins.object")]), default=AnyType(TypeOfAny.from_omitted_generics), line=line, column=column, prefix=prefix, ) def paramspec_kwargs( name: str, fullname: str, id: TypeVarId, *, named_type_func: _NamedTypeCallback, line: int = -1, column: int = -1, prefix: Parameters | None = None, ) -> ParamSpecType: return ParamSpecType( name, fullname, id, flavor=ParamSpecFlavor.KWARGS, upper_bound=named_type_func( "builtins.dict", [named_type_func("builtins.str"), named_type_func("builtins.object")] ), default=AnyType(TypeOfAny.from_omitted_generics), line=line, column=column, prefix=prefix, ) class HasPlaceholders(BoolTypeQuery): def __init__(self) -> None: super().__init__(ANY_STRATEGY) def visit_placeholder_type(self, t: PlaceholderType) -> bool: return True def has_placeholder(typ: Type) -> bool: """Check if a type contains any placeholder types (recursively).""" return typ.accept(HasPlaceholders()) def find_dataclass_transform_spec(node: Node | None) -> DataclassTransformSpec | None: """ Find the dataclass transform spec for the given node, if any exists. Per PEP 681 (https://peps.python.org/pep-0681/#the-dataclass-transform-decorator), dataclass transforms can be specified in multiple ways, including decorator functions and metaclasses/base classes. This function resolves the spec from any of these variants. """ # The spec only lives on the function/class definition itself, so we need to unwrap down to that # point if isinstance(node, CallExpr): # Like dataclasses.dataclass, transform-based decorators can be applied either with or # without parameters; ie, both of these forms are accepted: # # @typing.dataclass_transform # class Foo: ... # @typing.dataclass_transform(eq=True, order=True, ...) # class Bar: ... # # We need to unwrap the call for the second variant. node = node.callee if isinstance(node, RefExpr): node = node.node if isinstance(node, Decorator): # typing.dataclass_transform usage must always result in a Decorator; it always uses the # `@dataclass_transform(...)` syntax and never `@dataclass_transform` node = node.func if isinstance(node, OverloadedFuncDef): # The dataclass_transform decorator may be attached to any single overload, so we must # search them all. # Note that using more than one decorator is undefined behavior, so we can just take the # first that we find. for candidate in node.items: spec = find_dataclass_transform_spec(candidate) if spec is not None: return spec return find_dataclass_transform_spec(node.impl) # For functions, we can directly consult the AST field for the spec if isinstance(node, FuncDef): return node.dataclass_transform_spec if isinstance(node, ClassDef): node = node.info if isinstance(node, TypeInfo): # Search all parent classes to see if any are decorated with `typing.dataclass_transform` for base in node.mro[1:]: if base.dataclass_transform_spec is not None: return base.dataclass_transform_spec # Check if there is a metaclass that is decorated with `typing.dataclass_transform` # # Note that PEP 681 only discusses using a metaclass that is directly decorated with # `typing.dataclass_transform`; subclasses thereof should be treated with dataclass # semantics rather than as transforms: # # > If dataclass_transform is applied to a class, dataclass-like semantics will be assumed # > for any class that directly or indirectly derives from the decorated class or uses the # > decorated class as a metaclass. # # The wording doesn't make this entirely explicit, but Pyright (the reference # implementation for this PEP) only handles directly-decorated metaclasses. metaclass_type = node.metaclass_type if metaclass_type is not None and metaclass_type.type.dataclass_transform_spec is not None: return metaclass_type.type.dataclass_transform_spec return None # Never returns `None` if a default is given @overload def require_bool_literal_argument( api: SemanticAnalyzerInterface | SemanticAnalyzerPluginInterface, expression: Expression, name: str, default: Literal[True, False], ) -> bool: ... @overload def require_bool_literal_argument( api: SemanticAnalyzerInterface | SemanticAnalyzerPluginInterface, expression: Expression, name: str, default: None = None, ) -> bool | None: ... def require_bool_literal_argument( api: SemanticAnalyzerInterface | SemanticAnalyzerPluginInterface, expression: Expression, name: str, default: bool | None = None, ) -> bool | None: """Attempt to interpret an expression as a boolean literal, and fail analysis if we can't.""" value = parse_bool(expression) if value is None: api.fail( f'"{name}" argument must be a True or False literal', expression, code=LITERAL_REQ ) return default return value def parse_bool(expr: Expression) -> bool | None: if isinstance(expr, NameExpr): if expr.fullname == "builtins.True": return True if expr.fullname == "builtins.False": return False return None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_typeargs.py0000644000175100017510000003153315112307767017172 0ustar00runnerrunner"""Verify properties of type arguments, like 'int' in C[int] being valid. This must happen after semantic analysis since there can be placeholder types until the end of semantic analysis, and these break various type operations, including subtype checks. """ from __future__ import annotations from typing import Callable from mypy import errorcodes as codes, message_registry from mypy.errorcodes import ErrorCode from mypy.errors import Errors from mypy.message_registry import INVALID_PARAM_SPEC_LOCATION, INVALID_PARAM_SPEC_LOCATION_NOTE from mypy.messages import format_type from mypy.mixedtraverser import MixedTraverserVisitor from mypy.nodes import Block, ClassDef, Context, FakeInfo, FuncItem, MypyFile from mypy.options import Options from mypy.scope import Scope from mypy.subtypes import is_same_type, is_subtype from mypy.types import ( AnyType, CallableType, Instance, Parameters, ParamSpecType, TupleType, Type, TypeAliasType, TypeOfAny, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnboundType, UnpackType, flatten_nested_tuples, get_proper_type, get_proper_types, split_with_prefix_and_suffix, ) from mypy.typevartuples import erased_vars class TypeArgumentAnalyzer(MixedTraverserVisitor): def __init__( self, errors: Errors, options: Options, is_typeshed_file: bool, named_type: Callable[[str, list[Type]], Instance], ) -> None: super().__init__() self.errors = errors self.options = options self.is_typeshed_file = is_typeshed_file self.named_type = named_type self.scope = Scope() # Should we also analyze function definitions, or only module top-levels? self.recurse_into_functions = True # Keep track of the type aliases already visited. This is needed to avoid # infinite recursion on types like A = Union[int, List[A]]. self.seen_aliases: set[TypeAliasType] = set() def visit_mypy_file(self, o: MypyFile) -> None: self.errors.set_file(o.path, o.fullname, scope=self.scope, options=self.options) with self.scope.module_scope(o.fullname): super().visit_mypy_file(o) def visit_func(self, defn: FuncItem) -> None: if not self.recurse_into_functions: return with self.scope.function_scope(defn): super().visit_func(defn) def visit_class_def(self, defn: ClassDef) -> None: with self.scope.class_scope(defn.info): super().visit_class_def(defn) def visit_block(self, o: Block) -> None: if not o.is_unreachable: super().visit_block(o) def visit_type_alias_type(self, t: TypeAliasType) -> None: super().visit_type_alias_type(t) if t.is_recursive: if t in self.seen_aliases: # Avoid infinite recursion on recursive type aliases. return self.seen_aliases.add(t) assert t.alias is not None, f"Unfixed type alias {t.type_ref}" is_error, is_invalid = self.validate_args( t.alias.name, tuple(t.args), t.alias.alias_tvars, t ) if is_invalid: # If there is an arity error (e.g. non-Parameters used for ParamSpec etc.), # then it is safer to erase the arguments completely, to avoid crashes later. # TODO: can we move this logic to typeanal.py? t.args = erased_vars(t.alias.alias_tvars, TypeOfAny.from_error) if not is_error: # If there was already an error for the alias itself, there is no point in checking # the expansion, most likely it will result in the same kind of error. if t.args: # Since we always allow unbounded type variables in alias definitions, we need # to verify the arguments satisfy the upper bounds of the expansion as well. get_proper_type(t).accept(self) if t.is_recursive: self.seen_aliases.discard(t) def visit_tuple_type(self, t: TupleType) -> None: t.items = flatten_nested_tuples(t.items) # We could also normalize Tuple[*tuple[X, ...]] -> tuple[X, ...] like in # expand_type() but we can't do this here since it is not a translator visitor, # and we need to return an Instance instead of TupleType. super().visit_tuple_type(t) def visit_callable_type(self, t: CallableType) -> None: super().visit_callable_type(t) t.normalize_trivial_unpack() def visit_instance(self, t: Instance) -> None: super().visit_instance(t) # Type argument counts were checked in the main semantic analyzer pass. We assume # that the counts are correct here. info = t.type if isinstance(info, FakeInfo): return # https://github.com/python/mypy/issues/11079 _, is_invalid = self.validate_args(info.name, t.args, info.defn.type_vars, t) if is_invalid: t.args = tuple(erased_vars(info.defn.type_vars, TypeOfAny.from_error)) if t.type.fullname == "builtins.tuple" and len(t.args) == 1: # Normalize Tuple[*Tuple[X, ...], ...] -> Tuple[X, ...] arg = t.args[0] if isinstance(arg, UnpackType): unpacked = get_proper_type(arg.type) if isinstance(unpacked, Instance): assert unpacked.type.fullname == "builtins.tuple" t.args = unpacked.args def validate_args( self, name: str, args: tuple[Type, ...], type_vars: list[TypeVarLikeType], ctx: Context ) -> tuple[bool, bool]: if any(isinstance(v, TypeVarTupleType) for v in type_vars): prefix = next(i for (i, v) in enumerate(type_vars) if isinstance(v, TypeVarTupleType)) tvt = type_vars[prefix] assert isinstance(tvt, TypeVarTupleType) start, middle, end = split_with_prefix_and_suffix( tuple(args), prefix, len(type_vars) - prefix - 1 ) args = start + (TupleType(list(middle), tvt.tuple_fallback),) + end is_error = False is_invalid = False for arg, tvar in zip(args, type_vars): context = ctx if arg.line < 0 else arg if isinstance(tvar, TypeVarType): if isinstance(arg, ParamSpecType): is_invalid = True self.fail( INVALID_PARAM_SPEC_LOCATION.format(format_type(arg, self.options)), context, code=codes.VALID_TYPE, ) self.note( INVALID_PARAM_SPEC_LOCATION_NOTE.format(arg.name), context, code=codes.VALID_TYPE, ) continue if isinstance(arg, Parameters): is_invalid = True self.fail( f"Cannot use {format_type(arg, self.options)} for regular type variable," " only for ParamSpec", context, code=codes.VALID_TYPE, ) continue if tvar.values: if isinstance(arg, TypeVarType): if self.in_type_alias_expr: # Type aliases are allowed to use unconstrained type variables # error will be checked at substitution point. continue arg_values = arg.values if not arg_values: is_error = True self.fail( message_registry.INVALID_TYPEVAR_AS_TYPEARG.format(arg.name, name), context, code=codes.TYPE_VAR, ) continue else: arg_values = [arg] if self.check_type_var_values( name, arg_values, tvar.name, tvar.values, context ): is_error = True # Check against upper bound. Since it's object the vast majority of the time, # add fast path to avoid a potentially slow subtype check. upper_bound = tvar.upper_bound object_upper_bound = ( type(upper_bound) is Instance and upper_bound.type.fullname == "builtins.object" ) if not object_upper_bound and not is_subtype(arg, upper_bound): if self.in_type_alias_expr and isinstance(arg, TypeVarType): # Type aliases are allowed to use unconstrained type variables # error will be checked at substitution point. continue is_error = True self.fail( message_registry.INVALID_TYPEVAR_ARG_BOUND.format( format_type(arg, self.options), name, format_type(upper_bound, self.options), ), context, code=codes.TYPE_VAR, ) elif isinstance(tvar, ParamSpecType): if not isinstance( get_proper_type(arg), (ParamSpecType, Parameters, AnyType, UnboundType) ): is_invalid = True self.fail( "Can only replace ParamSpec with a parameter types list or" f" another ParamSpec, got {format_type(arg, self.options)}", context, code=codes.VALID_TYPE, ) if is_invalid: is_error = True return is_error, is_invalid def visit_unpack_type(self, typ: UnpackType) -> None: super().visit_unpack_type(typ) proper_type = get_proper_type(typ.type) if isinstance(proper_type, TupleType): return if isinstance(proper_type, TypeVarTupleType): return # TODO: this should probably be .has_base("builtins.tuple"), also elsewhere. This is # tricky however, since this needs map_instance_to_supertype() available in many places. if isinstance(proper_type, Instance) and proper_type.type.fullname == "builtins.tuple": return if not isinstance(proper_type, (UnboundType, AnyType)): # Avoid extra errors if there were some errors already. Also interpret plain Any # as tuple[Any, ...] (this is better for the code in type checker). self.fail( message_registry.INVALID_UNPACK.format(format_type(proper_type, self.options)), typ.type, code=codes.VALID_TYPE, ) typ.type = self.named_type("builtins.tuple", [AnyType(TypeOfAny.from_error)]) def check_type_var_values( self, name: str, actuals: list[Type], arg_name: str, valids: list[Type], context: Context ) -> bool: if self.in_type_alias_expr: # See testValidTypeAliasValues - we do not enforce typevar compatibility # at the definition site. We check instantiation validity later. return False is_error = False for actual in get_proper_types(actuals): # We skip UnboundType here, since they may appear in defn.bases, # the error will be caught when visiting info.bases, that have bound type # variables. if not isinstance(actual, (AnyType, UnboundType)) and not any( is_same_type(actual, value) for value in valids ): is_error = True if len(actuals) > 1 or not isinstance(actual, Instance): self.fail( message_registry.INVALID_TYPEVAR_ARG_VALUE.format(name), context, code=codes.TYPE_VAR, ) else: class_name = f'"{name}"' actual_type_name = f'"{actual.type.name}"' self.fail( message_registry.INCOMPATIBLE_TYPEVAR_VALUE.format( arg_name, class_name, actual_type_name ), context, code=codes.TYPE_VAR, ) return is_error def fail(self, msg: str, context: Context, *, code: ErrorCode | None = None) -> None: self.errors.report(context.line, context.column, msg, code=code) def note(self, msg: str, context: Context, *, code: ErrorCode | None = None) -> None: self.errors.report(context.line, context.column, msg, severity="note", code=code) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/semanal_typeddict.py0000644000175100017510000006273715112307767017337 0ustar00runnerrunner"""Semantic analysis of TypedDict definitions.""" from __future__ import annotations from collections.abc import Collection from typing import Final from mypy import errorcodes as codes, message_registry from mypy.errorcodes import ErrorCode from mypy.expandtype import expand_type from mypy.exprtotype import TypeTranslationError, expr_to_unanalyzed_type from mypy.message_registry import TYPEDDICT_OVERRIDE_MERGE from mypy.messages import MessageBuilder from mypy.nodes import ( ARG_NAMED, ARG_POS, AssignmentStmt, CallExpr, ClassDef, Context, DictExpr, EllipsisExpr, Expression, ExpressionStmt, IndexExpr, NameExpr, PassStmt, RefExpr, Statement, StrExpr, TempNode, TupleExpr, TypeAlias, TypedDictExpr, TypeInfo, ) from mypy.options import Options from mypy.semanal_shared import ( SemanticAnalyzerInterface, has_placeholder, require_bool_literal_argument, ) from mypy.state import state from mypy.typeanal import check_for_explicit_any, has_any_from_unimported_type from mypy.types import ( TPDICT_NAMES, AnyType, ReadOnlyType, RequiredType, Type, TypedDictType, TypeOfAny, TypeVarLikeType, get_proper_type, ) TPDICT_CLASS_ERROR: Final = ( 'Invalid statement in TypedDict definition; expected "field_name: field_type"' ) class TypedDictAnalyzer: def __init__( self, options: Options, api: SemanticAnalyzerInterface, msg: MessageBuilder ) -> None: self.options = options self.api = api self.msg = msg def analyze_typeddict_classdef(self, defn: ClassDef) -> tuple[bool, TypeInfo | None]: """Analyze a class that may define a TypedDict. Assume that base classes have been analyzed already. Note: Unlike normal classes, we won't create a TypeInfo until the whole definition of the TypeDict (including the body and all key names and types) is complete. This is mostly because we store the corresponding TypedDictType in the TypeInfo. Return (is this a TypedDict, new TypeInfo). Specifics: * If we couldn't finish due to incomplete reference anywhere in the definition, return (True, None). * If this is not a TypedDict, return (False, None). """ possible = False for base_expr in defn.base_type_exprs: if isinstance(base_expr, CallExpr): base_expr = base_expr.callee if isinstance(base_expr, IndexExpr): base_expr = base_expr.base if isinstance(base_expr, RefExpr): self.api.accept(base_expr) if base_expr.fullname in TPDICT_NAMES or self.is_typeddict(base_expr): possible = True if isinstance(base_expr.node, TypeInfo) and base_expr.node.is_final: err = message_registry.CANNOT_INHERIT_FROM_FINAL self.fail(err.format(base_expr.node.name).value, defn, code=err.code) if not possible: return False, None existing_info = None if isinstance(defn.analyzed, TypedDictExpr): existing_info = defn.analyzed.info field_types: dict[str, Type] | None if ( len(defn.base_type_exprs) == 1 and isinstance(defn.base_type_exprs[0], RefExpr) and defn.base_type_exprs[0].fullname in TPDICT_NAMES ): # Building a new TypedDict field_types, statements, required_keys, readonly_keys = ( self.analyze_typeddict_classdef_fields(defn) ) if field_types is None: return True, None # Defer if self.api.is_func_scope() and "@" not in defn.name: defn.name += "@" + str(defn.line) info = self.build_typeddict_typeinfo( defn.name, field_types, required_keys, readonly_keys, defn.line, existing_info ) defn.analyzed = TypedDictExpr(info) defn.analyzed.line = defn.line defn.analyzed.column = defn.column defn.defs.body = statements return True, info # Extending/merging existing TypedDicts typeddict_bases: list[Expression] = [] typeddict_bases_set = set() for expr in defn.base_type_exprs: ok, maybe_type_info, _ = self.check_typeddict(expr, None, False) if ok and maybe_type_info is not None: # expr is a CallExpr info = maybe_type_info typeddict_bases_set.add(info.fullname) typeddict_bases.append(expr) elif isinstance(expr, RefExpr) and expr.fullname in TPDICT_NAMES: if "TypedDict" not in typeddict_bases_set: typeddict_bases_set.add("TypedDict") else: self.fail('Duplicate base class "TypedDict"', defn) elif ( isinstance(expr, RefExpr) and self.is_typeddict(expr) or isinstance(expr, IndexExpr) and self.is_typeddict(expr.base) ): info = self._parse_typeddict_base(expr, defn) if info.fullname not in typeddict_bases_set: typeddict_bases_set.add(info.fullname) typeddict_bases.append(expr) else: self.fail(f'Duplicate base class "{info.name}"', defn) else: self.fail("All bases of a new TypedDict must be TypedDict types", defn) field_types = {} required_keys = set() readonly_keys = set() # Iterate over bases in reverse order so that leftmost base class' keys take precedence for base in reversed(typeddict_bases): self.add_keys_and_types_from_base( base, field_types, required_keys, readonly_keys, defn ) (new_field_types, new_statements, new_required_keys, new_readonly_keys) = ( self.analyze_typeddict_classdef_fields(defn, oldfields=field_types) ) if new_field_types is None: return True, None # Defer field_types.update(new_field_types) required_keys.update(new_required_keys) readonly_keys.update(new_readonly_keys) info = self.build_typeddict_typeinfo( defn.name, field_types, required_keys, readonly_keys, defn.line, existing_info ) defn.analyzed = TypedDictExpr(info) defn.analyzed.line = defn.line defn.analyzed.column = defn.column defn.defs.body = new_statements return True, info def add_keys_and_types_from_base( self, base: Expression, field_types: dict[str, Type], required_keys: set[str], readonly_keys: set[str], ctx: Context, ) -> None: info = self._parse_typeddict_base(base, ctx) base_args: list[Type] = [] if isinstance(base, IndexExpr): args = self.analyze_base_args(base, ctx) if args is None: return base_args = args assert info.typeddict_type is not None base_typed_dict = info.typeddict_type base_items = base_typed_dict.items valid_items = base_items.copy() # Always fix invalid bases to avoid crashes. tvars = info.defn.type_vars if len(base_args) != len(tvars): any_kind = TypeOfAny.from_omitted_generics if base_args: self.fail(f'Invalid number of type arguments for "{info.name}"', ctx) any_kind = TypeOfAny.from_error base_args = [AnyType(any_kind) for _ in tvars] with state.strict_optional_set(self.options.strict_optional): valid_items = self.map_items_to_base(valid_items, tvars, base_args) for key in base_items: if key in field_types: self.fail(TYPEDDICT_OVERRIDE_MERGE.format(key), ctx) field_types.update(valid_items) required_keys.update(base_typed_dict.required_keys) readonly_keys.update(base_typed_dict.readonly_keys) def _parse_typeddict_base(self, base: Expression, ctx: Context) -> TypeInfo: if isinstance(base, RefExpr): if isinstance(base.node, TypeInfo): return base.node elif isinstance(base.node, TypeAlias): # Only old TypeAlias / plain assignment, PEP695 `type` stmt # cannot be used as a base class target = get_proper_type(base.node.target) assert isinstance(target, TypedDictType) return target.fallback.type else: assert False elif isinstance(base, IndexExpr): assert isinstance(base.base, RefExpr) return self._parse_typeddict_base(base.base, ctx) else: assert isinstance(base, CallExpr) assert isinstance(base.analyzed, TypedDictExpr) return base.analyzed.info def analyze_base_args(self, base: IndexExpr, ctx: Context) -> list[Type] | None: """Analyze arguments of base type expressions as types. We need to do this, because normal base class processing happens after the TypedDict special-casing (plus we get a custom error message). """ base_args = [] if isinstance(base.index, TupleExpr): args = base.index.items else: args = [base.index] for arg_expr in args: try: type = expr_to_unanalyzed_type(arg_expr, self.options, self.api.is_stub_file) except TypeTranslationError: self.fail("Invalid TypedDict type argument", ctx) return None analyzed = self.api.anal_type( type, allow_typed_dict_special_forms=True, allow_placeholder=not self.api.is_func_scope(), ) if analyzed is None: return None base_args.append(analyzed) return base_args def map_items_to_base( self, valid_items: dict[str, Type], tvars: list[TypeVarLikeType], base_args: list[Type] ) -> dict[str, Type]: """Map item types to how they would look in their base with type arguments applied. Note it is safe to use expand_type() during semantic analysis, because it should never (indirectly) call is_subtype(). """ mapped_items = {} for key in valid_items: type_in_base = valid_items[key] if not tvars: mapped_items[key] = type_in_base continue # TODO: simple zip can't be used for variadic types. mapped_items[key] = expand_type( type_in_base, {t.id: a for (t, a) in zip(tvars, base_args)} ) return mapped_items def analyze_typeddict_classdef_fields( self, defn: ClassDef, oldfields: Collection[str] | None = None ) -> tuple[dict[str, Type] | None, list[Statement], set[str], set[str]]: """Analyze fields defined in a TypedDict class definition. This doesn't consider inherited fields (if any). Also consider totality, if given. Return tuple with these items: * Dict of key -> type (or None if found an incomplete reference -> deferral) * List of statements from defn.defs.body that are legally allowed to be a part of a TypedDict definition * Set of required keys """ fields: dict[str, Type] = {} readonly_keys = set[str]() required_keys = set[str]() statements: list[Statement] = [] total: bool | None = True for key in defn.keywords: if key == "total": total = require_bool_literal_argument( self.api, defn.keywords["total"], "total", True ) continue for_function = ' for "__init_subclass__" of "TypedDict"' self.msg.unexpected_keyword_argument_for_function(for_function, key, defn) for stmt in defn.defs.body: if not isinstance(stmt, AssignmentStmt): # Still allow pass or ... (for empty TypedDict's) and docstrings if isinstance(stmt, PassStmt) or ( isinstance(stmt, ExpressionStmt) and isinstance(stmt.expr, (EllipsisExpr, StrExpr)) ): statements.append(stmt) else: defn.removed_statements.append(stmt) self.fail(TPDICT_CLASS_ERROR, stmt) elif len(stmt.lvalues) > 1 or not isinstance(stmt.lvalues[0], NameExpr): # An assignment, but an invalid one. defn.removed_statements.append(stmt) self.fail(TPDICT_CLASS_ERROR, stmt) else: name = stmt.lvalues[0].name if name in (oldfields or []): self.fail(f'Overwriting TypedDict field "{name}" while extending', stmt) if name in fields: self.fail(f'Duplicate TypedDict key "{name}"', stmt) continue # Append stmt, name, and type in this case... statements.append(stmt) field_type: Type if stmt.unanalyzed_type is None: field_type = AnyType(TypeOfAny.unannotated) else: analyzed = self.api.anal_type( stmt.unanalyzed_type, allow_typed_dict_special_forms=True, allow_placeholder=not self.api.is_func_scope(), prohibit_self_type="TypedDict item type", prohibit_special_class_field_types="TypedDict", ) if analyzed is None: return None, [], set(), set() # Need to defer field_type = analyzed if not has_placeholder(analyzed): stmt.type = self.extract_meta_info(analyzed, stmt)[0] field_type, required, readonly = self.extract_meta_info(field_type) fields[name] = field_type if (total or required is True) and required is not False: required_keys.add(name) if readonly: readonly_keys.add(name) # ...despite possible minor failures that allow further analysis. if stmt.type is None or hasattr(stmt, "new_syntax") and not stmt.new_syntax: self.fail(TPDICT_CLASS_ERROR, stmt) elif not isinstance(stmt.rvalue, TempNode): # x: int assigns rvalue to TempNode(AnyType()) self.fail("Right hand side values are not supported in TypedDict", stmt) return fields, statements, required_keys, readonly_keys def extract_meta_info( self, typ: Type, context: Context | None = None ) -> tuple[Type, bool | None, bool]: """Unwrap all metadata types.""" is_required = None # default, no modification readonly = False # by default all is mutable seen_required = False seen_readonly = False while isinstance(typ, (RequiredType, ReadOnlyType)): if isinstance(typ, RequiredType): if context is not None and seen_required: self.fail( '"{}" type cannot be nested'.format( "Required[]" if typ.required else "NotRequired[]" ), context, code=codes.VALID_TYPE, ) is_required = typ.required seen_required = True typ = typ.item if isinstance(typ, ReadOnlyType): if context is not None and seen_readonly: self.fail('"ReadOnly[]" type cannot be nested', context, code=codes.VALID_TYPE) readonly = True seen_readonly = True typ = typ.item return typ, is_required, readonly def check_typeddict( self, node: Expression, var_name: str | None, is_func_scope: bool ) -> tuple[bool, TypeInfo | None, list[TypeVarLikeType]]: """Check if a call defines a TypedDict. The optional var_name argument is the name of the variable to which this is assigned, if any. Return a pair (is it a typed dict, corresponding TypeInfo). If the definition is invalid but looks like a TypedDict, report errors but return (some) TypeInfo. If some type is not ready, return (True, None). """ if not isinstance(node, CallExpr): return False, None, [] call = node callee = call.callee if not isinstance(callee, RefExpr): return False, None, [] fullname = callee.fullname if fullname not in TPDICT_NAMES: return False, None, [] res = self.parse_typeddict_args(call) if res is None: # This is a valid typed dict, but some type is not ready. # The caller should defer this until next iteration. return True, None, [] name, items, types, total, tvar_defs, ok = res if not ok: # Error. Construct dummy return value. if var_name: name = var_name if is_func_scope: name += "@" + str(call.line) else: name = var_name = "TypedDict@" + str(call.line) info = self.build_typeddict_typeinfo(name, {}, set(), set(), call.line, None) else: if var_name is not None and name != var_name: self.fail( 'First argument "{}" to TypedDict() does not match variable name "{}"'.format( name, var_name ), node, code=codes.NAME_MATCH, ) if name != var_name or is_func_scope: # Give it a unique name derived from the line number. name += "@" + str(call.line) required_keys = { field for (field, t) in zip(items, types) if (total or (isinstance(t, RequiredType) and t.required)) and not (isinstance(t, RequiredType) and not t.required) } readonly_keys = { field for (field, t) in zip(items, types) if isinstance(t, ReadOnlyType) } types = [ # unwrap Required[T] or ReadOnly[T] to just T t.item if isinstance(t, (RequiredType, ReadOnlyType)) else t for t in types ] # Perform various validations after unwrapping. for t in types: check_for_explicit_any( t, self.options, self.api.is_typeshed_stub_file, self.msg, context=call ) if self.options.disallow_any_unimported: for t in types: if has_any_from_unimported_type(t): self.msg.unimported_type_becomes_any("Type of a TypedDict key", t, call) existing_info = None if isinstance(node.analyzed, TypedDictExpr): existing_info = node.analyzed.info info = self.build_typeddict_typeinfo( name, dict(zip(items, types)), required_keys, readonly_keys, call.line, existing_info, ) info.line = node.line # Store generated TypeInfo under both names, see semanal_namedtuple for more details. if name != var_name or is_func_scope: self.api.add_symbol_skip_local(name, info) if var_name: self.api.add_symbol(var_name, info, node) call.analyzed = TypedDictExpr(info) call.analyzed.set_line(call) return True, info, tvar_defs def parse_typeddict_args( self, call: CallExpr ) -> tuple[str, list[str], list[Type], bool, list[TypeVarLikeType], bool] | None: """Parse typed dict call expression. Return names, types, totality, was there an error during parsing. If some type is not ready, return None. """ # TODO: Share code with check_argument_count in checkexpr.py? args = call.args if len(args) < 2: return self.fail_typeddict_arg("Too few arguments for TypedDict()", call) if len(args) > 3: return self.fail_typeddict_arg("Too many arguments for TypedDict()", call) # TODO: Support keyword arguments if call.arg_kinds not in ([ARG_POS, ARG_POS], [ARG_POS, ARG_POS, ARG_NAMED]): return self.fail_typeddict_arg("Unexpected arguments to TypedDict()", call) if len(args) == 3 and call.arg_names[2] != "total": return self.fail_typeddict_arg( f'Unexpected keyword argument "{call.arg_names[2]}" for "TypedDict"', call ) if not isinstance(args[0], StrExpr): return self.fail_typeddict_arg( "TypedDict() expects a string literal as the first argument", call ) if not isinstance(args[1], DictExpr): return self.fail_typeddict_arg( "TypedDict() expects a dictionary literal as the second argument", call ) total: bool | None = True if len(args) == 3: total = require_bool_literal_argument(self.api, call.args[2], "total") if total is None: return "", [], [], True, [], False dictexpr = args[1] tvar_defs = self.api.get_and_bind_all_tvars([t for k, t in dictexpr.items]) res = self.parse_typeddict_fields_with_types(dictexpr.items) if res is None: # One of the types is not ready, defer. return None items, types, ok = res assert total is not None return args[0].value, items, types, total, tvar_defs, ok def parse_typeddict_fields_with_types( self, dict_items: list[tuple[Expression | None, Expression]] ) -> tuple[list[str], list[Type], bool] | None: """Parse typed dict items passed as pairs (name expression, type expression). Return names, types, was there an error. If some type is not ready, return None. """ seen_keys = set() items: list[str] = [] types: list[Type] = [] for field_name_expr, field_type_expr in dict_items: if isinstance(field_name_expr, StrExpr): key = field_name_expr.value items.append(key) if key in seen_keys: self.fail(f'Duplicate TypedDict key "{key}"', field_name_expr) seen_keys.add(key) else: name_context = field_name_expr or field_type_expr self.fail_typeddict_arg("Invalid TypedDict() field name", name_context) return [], [], False try: type = expr_to_unanalyzed_type( field_type_expr, self.options, self.api.is_stub_file ) except TypeTranslationError: self.fail_typeddict_arg("Use dict literal for nested TypedDict", field_type_expr) return [], [], False analyzed = self.api.anal_type( type, allow_typed_dict_special_forms=True, allow_placeholder=not self.api.is_func_scope(), prohibit_self_type="TypedDict item type", prohibit_special_class_field_types="TypedDict", ) if analyzed is None: return None types.append(analyzed) return items, types, True def fail_typeddict_arg( self, message: str, context: Context ) -> tuple[str, list[str], list[Type], bool, list[TypeVarLikeType], bool]: self.fail(message, context) return "", [], [], True, [], False def build_typeddict_typeinfo( self, name: str, item_types: dict[str, Type], required_keys: set[str], readonly_keys: set[str], line: int, existing_info: TypeInfo | None, ) -> TypeInfo: # Prefer typing then typing_extensions if available. fallback = ( self.api.named_type_or_none("typing._TypedDict", []) or self.api.named_type_or_none("typing_extensions._TypedDict", []) or self.api.named_type_or_none("mypy_extensions._TypedDict", []) ) assert fallback is not None info = existing_info or self.api.basic_new_typeinfo(name, fallback, line) typeddict_type = TypedDictType(item_types, required_keys, readonly_keys, fallback) if info.special_alias and has_placeholder(info.special_alias.target): self.api.process_placeholder( None, "TypedDict item", info, force_progress=typeddict_type != info.typeddict_type ) info.update_typeddict_type(typeddict_type) return info # Helpers def is_typeddict(self, expr: Expression) -> bool: return isinstance(expr, RefExpr) and ( isinstance(expr.node, TypeInfo) and expr.node.typeddict_type is not None or isinstance(expr.node, TypeAlias) and isinstance(get_proper_type(expr.node.target), TypedDictType) ) def fail(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None: self.api.fail(msg, ctx, code=code) def note(self, msg: str, ctx: Context) -> None: self.api.note(msg, ctx) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4827645 mypy-1.19.0/mypy/server/0000755000175100017510000000000015112310011014533 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/__init__.py0000644000175100017510000000000015112307767016662 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/astdiff.py0000644000175100017510000005162315112307767016564 0ustar00runnerrunner"""Utilities for comparing two versions of a module symbol table. The goal is to find which AST nodes have externally visible changes, so that we can fire triggers and re-process other parts of the program that are stale because of the changes. Only look at detail at definitions at the current module -- don't recurse into other modules. A summary of the module contents: * snapshot_symbol_table(...) creates an opaque snapshot description of a module/class symbol table (recursing into nested class symbol tables). * compare_symbol_table_snapshots(...) compares two snapshots for the same module id and returns fully qualified names of differences (which act as triggers). To compare two versions of a module symbol table, take snapshots of both versions and compare the snapshots. The use of snapshots makes it easy to compare two versions of the *same* symbol table that is being mutated. Summary of how this works for certain kinds of differences: * If a symbol table node is deleted or added (only present in old/new version of the symbol table), it is considered different, of course. * If a symbol table node refers to a different sort of thing in the new version, it is considered different (for example, if a class is replaced with a function). * If the signature of a function has changed, it is considered different. * If the type of a variable changes, it is considered different. * If the MRO of a class changes, or a non-generic class is turned into a generic class, the class is considered different (there are other such "big" differences that cause a class to be considered changed). However, just changes to attributes or methods don't generally constitute a difference at the class level -- these are handled at attribute level (say, 'mod.Cls.method' is different rather than 'mod.Cls' being different). * If an imported name targets a different name (say, 'from x import y' is replaced with 'from z import y'), the name in the module is considered different. If the target of an import continues to have the same name, but it's specifics change, this doesn't mean that the imported name is treated as changed. Say, there is 'from x import y' in 'm', and the type of 'x.y' has changed. This doesn't mean that that 'm.y' is considered changed. Instead, processing the difference in 'm' will be handled through fine-grained dependencies. """ from __future__ import annotations from collections.abc import Sequence from typing import Union from typing_extensions import TypeAlias as _TypeAlias from mypy.expandtype import expand_type from mypy.nodes import ( SYMBOL_FUNCBASE_TYPES, UNBOUND_IMPORTED, Decorator, FuncDef, FuncItem, MypyFile, OverloadedFuncDef, ParamSpecExpr, SymbolNode, SymbolTable, TypeAlias, TypeInfo, TypeVarExpr, TypeVarTupleExpr, Var, ) from mypy.semanal_shared import find_dataclass_transform_spec from mypy.state import state from mypy.types import ( AnyType, CallableType, DeletedType, ErasedType, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, TupleType, Type, TypeAliasType, TypedDictType, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, TypeVisitor, UnboundType, UninhabitedType, UnionType, UnpackType, ) from mypy.util import get_prefix # Snapshot representation of a symbol table node or type. The representation is # opaque -- the only supported operations are comparing for equality and # hashing (latter for type snapshots only). Snapshots can contain primitive # objects, nested tuples, lists and dictionaries and primitive objects (type # snapshots are immutable). # # For example, the snapshot of the 'int' type is ('Instance', 'builtins.int', ()). # Type snapshots are strict, they must be hashable and ordered (e.g. for Unions). Primitive: _TypeAlias = Union[str, float, int, bool] # float is for Literal[3.14] support. SnapshotItem: _TypeAlias = tuple[Union[Primitive, "SnapshotItem"], ...] # Symbol snapshots can be more lenient. SymbolSnapshot: _TypeAlias = tuple[object, ...] def compare_symbol_table_snapshots( name_prefix: str, snapshot1: dict[str, SymbolSnapshot], snapshot2: dict[str, SymbolSnapshot] ) -> set[str]: """Return names that are different in two snapshots of a symbol table. Only shallow (intra-module) differences are considered. References to things defined outside the module are compared based on the name of the target only. Recurse into class symbol tables (if the class is defined in the target module). Return a set of fully-qualified names (e.g., 'mod.func' or 'mod.Class.method'). """ # Find names only defined only in one version. names1 = {f"{name_prefix}.{name}" for name in snapshot1} names2 = {f"{name_prefix}.{name}" for name in snapshot2} triggers = names1 ^ names2 # Look for names defined in both versions that are different. for name in set(snapshot1.keys()) & set(snapshot2.keys()): item1 = snapshot1[name] item2 = snapshot2[name] kind1 = item1[0] kind2 = item2[0] item_name = f"{name_prefix}.{name}" if kind1 != kind2: # Different kind of node in two snapshots -> trivially different. triggers.add(item_name) elif kind1 == "TypeInfo": if item1[:-1] != item2[:-1]: # Record major difference (outside class symbol tables). triggers.add(item_name) # Look for differences in nested class symbol table entries. assert isinstance(item1[-1], dict) assert isinstance(item2[-1], dict) triggers |= compare_symbol_table_snapshots(item_name, item1[-1], item2[-1]) else: # Shallow node (no interesting internal structure). Just use equality. if snapshot1[name] != snapshot2[name]: triggers.add(item_name) return triggers def snapshot_symbol_table(name_prefix: str, table: SymbolTable) -> dict[str, SymbolSnapshot]: """Create a snapshot description that represents the state of a symbol table. The snapshot has a representation based on nested tuples and dicts that makes it easy and fast to find differences. Only "shallow" state is included in the snapshot -- references to things defined in other modules are represented just by the names of the targets. """ result: dict[str, SymbolSnapshot] = {} for name, symbol in table.items(): node = symbol.node # TODO: cross_ref? fullname = node.fullname if node else None common = (fullname, symbol.kind, symbol.module_public) if isinstance(node, MypyFile): # This is a cross-reference to another module. # If the reference is busted because the other module is missing, # the node will be a "stale_info" TypeInfo produced by fixup, # but that doesn't really matter to us here. result[name] = ("Moduleref", common) elif isinstance(node, TypeVarExpr): result[name] = ( "TypeVar", node.variance, [snapshot_type(value) for value in node.values], snapshot_type(node.upper_bound), snapshot_type(node.default), ) elif isinstance(node, TypeAlias): result[name] = ( "TypeAlias", snapshot_types(node.alias_tvars), node.normalized, node.no_args, snapshot_optional_type(node.target), ) elif isinstance(node, ParamSpecExpr): result[name] = ( "ParamSpec", node.variance, snapshot_type(node.upper_bound), snapshot_type(node.default), ) elif isinstance(node, TypeVarTupleExpr): result[name] = ( "TypeVarTuple", node.variance, snapshot_type(node.upper_bound), snapshot_type(node.default), ) else: assert symbol.kind != UNBOUND_IMPORTED if node and get_prefix(node.fullname) != name_prefix: # This is a cross-reference to a node defined in another module. # Include the node kind (FuncDef, Decorator, TypeInfo, ...), so that we will # reprocess when a *new* node is created instead of merging an existing one. result[name] = ("CrossRef", common, type(node).__name__) else: result[name] = snapshot_definition(node, common) return result def snapshot_definition(node: SymbolNode | None, common: SymbolSnapshot) -> SymbolSnapshot: """Create a snapshot description of a symbol table node. The representation is nested tuples and dicts. Only externally visible attributes are included. """ if isinstance(node, SYMBOL_FUNCBASE_TYPES): # TODO: info if node.type: signature: tuple[object, ...] = snapshot_type(node.type) else: signature = snapshot_untyped_signature(node) impl: FuncDef | None = None if isinstance(node, FuncDef): impl = node elif node.impl: impl = node.impl.func if isinstance(node.impl, Decorator) else node.impl setter_type = None if isinstance(node, OverloadedFuncDef) and node.items: first_item = node.items[0] if isinstance(first_item, Decorator) and first_item.func.is_property: setter_type = snapshot_optional_type(first_item.var.setter_type) is_trivial_body = impl.is_trivial_body if impl else False dataclass_transform_spec = find_dataclass_transform_spec(node) deprecated: str | list[str | None] | None = None if isinstance(node, FuncDef): deprecated = node.deprecated elif isinstance(node, OverloadedFuncDef): deprecated = [node.deprecated] + [ i.func.deprecated for i in node.items if isinstance(i, Decorator) ] return ( "Func", common, node.is_property, node.is_final, node.is_class, node.is_static, signature, is_trivial_body, dataclass_transform_spec.serialize() if dataclass_transform_spec is not None else None, deprecated, setter_type, # multi-part properties are stored as OverloadedFuncDef ) elif isinstance(node, Var): return ("Var", common, snapshot_optional_type(node.type), node.is_final) elif isinstance(node, Decorator): # Note that decorated methods are represented by Decorator instances in # a symbol table since we need to preserve information about the # decorated function (whether it's a class function, for # example). Top-level decorated functions, however, are represented by # the corresponding Var node, since that happens to provide enough # context. return ( "Decorator", node.is_overload, snapshot_optional_type(node.var.type), snapshot_definition(node.func, common), ) elif isinstance(node, TypeInfo): dataclass_transform_spec = node.dataclass_transform_spec if dataclass_transform_spec is None: dataclass_transform_spec = find_dataclass_transform_spec(node) attrs = ( node.is_abstract, node.is_enum, node.is_protocol, node.fallback_to_any, node.meta_fallback_to_any, node.is_named_tuple, node.is_newtype, # We need this to e.g. trigger metaclass calculation in subclasses. snapshot_optional_type(node.metaclass_type), snapshot_optional_type(node.tuple_type), snapshot_optional_type(node.typeddict_type), [base.fullname for base in node.mro], # Note that the structure of type variables is a part of the external interface, # since creating instances might fail, for example: # T = TypeVar('T', bound=int) # class C(Generic[T]): # ... # x: C[str] <- this is invalid, and needs to be re-checked if `T` changes. # An alternative would be to create both deps: <...> -> C, and <...> -> , # but this currently seems a bit ad hoc. tuple(snapshot_type(tdef) for tdef in node.defn.type_vars), [snapshot_type(base) for base in node.bases], [snapshot_type(p) for p in node._promote], dataclass_transform_spec.serialize() if dataclass_transform_spec is not None else None, node.deprecated, ) prefix = node.fullname symbol_table = snapshot_symbol_table(prefix, node.names) # Special dependency for abstract attribute handling. symbol_table["(abstract)"] = ("Abstract", tuple(sorted(node.abstract_attributes))) return ("TypeInfo", common, attrs, symbol_table) else: # Other node types are handled elsewhere. assert False, type(node) def snapshot_type(typ: Type) -> SnapshotItem: """Create a snapshot representation of a type using nested tuples.""" return typ.accept(SnapshotTypeVisitor()) def snapshot_optional_type(typ: Type | None) -> SnapshotItem: if typ: return snapshot_type(typ) else: return ("",) def snapshot_types(types: Sequence[Type]) -> SnapshotItem: return tuple(snapshot_type(item) for item in types) def snapshot_simple_type(typ: Type) -> SnapshotItem: return (type(typ).__name__,) def encode_optional_str(s: str | None) -> str: if s is None: return "" else: return s class SnapshotTypeVisitor(TypeVisitor[SnapshotItem]): """Creates a read-only, self-contained snapshot of a type object. Properties of a snapshot: - Contains (nested) tuples and other immutable primitive objects only. - References to AST nodes are replaced with full names of targets. - Has no references to mutable or non-primitive objects. - Two snapshots represent the same object if and only if they are equal. - Results must be sortable. It's important that tuples have consistent types and can't arbitrarily mix str and None values, for example, since they can't be compared. """ def visit_unbound_type(self, typ: UnboundType) -> SnapshotItem: return ( "UnboundType", typ.name, typ.optional, typ.empty_tuple_index, snapshot_types(typ.args), ) def visit_any(self, typ: AnyType) -> SnapshotItem: return snapshot_simple_type(typ) def visit_none_type(self, typ: NoneType) -> SnapshotItem: return snapshot_simple_type(typ) def visit_uninhabited_type(self, typ: UninhabitedType) -> SnapshotItem: return snapshot_simple_type(typ) def visit_erased_type(self, typ: ErasedType) -> SnapshotItem: return snapshot_simple_type(typ) def visit_deleted_type(self, typ: DeletedType) -> SnapshotItem: return snapshot_simple_type(typ) def visit_instance(self, typ: Instance) -> SnapshotItem: extra_attrs: SnapshotItem if typ.extra_attrs: extra_attrs = ( tuple(sorted((k, v.accept(self)) for k, v in typ.extra_attrs.attrs.items())), tuple(typ.extra_attrs.immutable), ) else: extra_attrs = () return ( "Instance", encode_optional_str(typ.type.fullname), snapshot_types(typ.args), ("None",) if typ.last_known_value is None else snapshot_type(typ.last_known_value), extra_attrs, ) def visit_type_var(self, typ: TypeVarType) -> SnapshotItem: return ( "TypeVar", typ.name, typ.fullname, typ.id.raw_id, typ.id.meta_level, snapshot_types(typ.values), snapshot_type(typ.upper_bound), snapshot_type(typ.default), typ.variance, ) def visit_param_spec(self, typ: ParamSpecType) -> SnapshotItem: return ( "ParamSpec", typ.id.raw_id, typ.id.meta_level, typ.flavor, snapshot_type(typ.upper_bound), snapshot_type(typ.default), snapshot_type(typ.prefix), ) def visit_type_var_tuple(self, typ: TypeVarTupleType) -> SnapshotItem: return ( "TypeVarTupleType", typ.id.raw_id, typ.id.meta_level, snapshot_type(typ.upper_bound), snapshot_type(typ.default), ) def visit_unpack_type(self, typ: UnpackType) -> SnapshotItem: return ("UnpackType", snapshot_type(typ.type)) def visit_parameters(self, typ: Parameters) -> SnapshotItem: return ( "Parameters", snapshot_types(typ.arg_types), tuple(encode_optional_str(name) for name in typ.arg_names), tuple(k.value for k in typ.arg_kinds), ) def visit_callable_type(self, typ: CallableType) -> SnapshotItem: if typ.is_generic(): typ = self.normalize_callable_variables(typ) return ( "CallableType", snapshot_types(typ.arg_types), snapshot_type(typ.ret_type), tuple(encode_optional_str(name) for name in typ.arg_names), tuple(k.value for k in typ.arg_kinds), typ.is_type_obj(), typ.is_ellipsis_args, snapshot_types(typ.variables), typ.is_bound, ) def normalize_callable_variables(self, typ: CallableType) -> CallableType: """Normalize all type variable ids to run from -1 to -len(variables).""" tvs = [] tvmap: dict[TypeVarId, Type] = {} for i, v in enumerate(typ.variables): tid = TypeVarId(-1 - i) if isinstance(v, TypeVarType): tv: TypeVarLikeType = v.copy_modified(id=tid) elif isinstance(v, TypeVarTupleType): tv = v.copy_modified(id=tid) else: assert isinstance(v, ParamSpecType) tv = v.copy_modified(id=tid) tvs.append(tv) tvmap[v.id] = tv with state.strict_optional_set(True): return expand_type(typ, tvmap).copy_modified(variables=tvs) def visit_tuple_type(self, typ: TupleType) -> SnapshotItem: return ("TupleType", snapshot_types(typ.items)) def visit_typeddict_type(self, typ: TypedDictType) -> SnapshotItem: items = tuple((key, snapshot_type(item_type)) for key, item_type in typ.items.items()) required = tuple(sorted(typ.required_keys)) readonly = tuple(sorted(typ.readonly_keys)) return ("TypedDictType", items, required, readonly) def visit_literal_type(self, typ: LiteralType) -> SnapshotItem: return ("LiteralType", snapshot_type(typ.fallback), typ.value) def visit_union_type(self, typ: UnionType) -> SnapshotItem: # Sort and remove duplicates so that we can use equality to test for # equivalent union type snapshots. items = {snapshot_type(item) for item in typ.items} normalized = tuple(sorted(items)) return ("UnionType", normalized) def visit_overloaded(self, typ: Overloaded) -> SnapshotItem: return ("Overloaded", snapshot_types(typ.items)) def visit_partial_type(self, typ: PartialType) -> SnapshotItem: # A partial type is not fully defined, so the result is indeterminate. We shouldn't # get here. raise RuntimeError def visit_type_type(self, typ: TypeType) -> SnapshotItem: return ("TypeType", snapshot_type(typ.item), typ.is_type_form) def visit_type_alias_type(self, typ: TypeAliasType) -> SnapshotItem: assert typ.alias is not None return ("TypeAliasType", typ.alias.fullname, snapshot_types(typ.args)) def snapshot_untyped_signature(func: OverloadedFuncDef | FuncItem) -> SymbolSnapshot: """Create a snapshot of the signature of a function that has no explicit signature. If the arguments to a function without signature change, it must be considered as different. We have this special casing since we don't store the implicit signature anywhere, and we'd rather not construct new Callable objects in this module (the idea is to only read properties of the AST here). """ if isinstance(func, FuncItem): return (tuple(func.arg_names), tuple(func.arg_kinds)) else: result: list[SymbolSnapshot] = [] for item in func.items: if isinstance(item, Decorator): if item.var.type: result.append(snapshot_type(item.var.type)) else: result.append(("DecoratorWithoutType",)) else: result.append(snapshot_untyped_signature(item)) return tuple(result) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/astmerge.py0000644000175100017510000005076615112307767016762 0ustar00runnerrunner"""Merge a new version of a module AST and symbol table to older versions of those. When the source code of a module has a change in fine-grained incremental mode, we build a new AST from the updated source. However, other parts of the program may have direct references to parts of the old AST (namely, those nodes exposed in the module symbol table). The merge operation changes the identities of new AST nodes that have a correspondence in the old AST to the old ones so that existing cross-references in other modules will continue to point to the correct nodes. Also internal cross-references within the new AST are replaced. AST nodes that aren't externally visible will get new, distinct object identities. This applies to most expression and statement nodes, for example. We perform this merge operation so that we don't have to update all external references (which would be slow and fragile) or always perform translation when looking up references (which would be hard to retrofit). The AST merge operation is performed after semantic analysis. Semantic analysis has to deal with potentially multiple aliases to certain AST nodes (in particular, MypyFile nodes). Type checking assumes that we don't have multiple variants of a single AST node visible to the type checker. Discussion of some notable special cases: * If a node is replaced with a different kind of node (say, a function is replaced with a class), we don't perform the merge. Fine-grained dependencies will be used to rebind all references to the node. * If a function is replaced with another function with an identical signature, call sites continue to point to the same object (by identity) and don't need to be reprocessed. Similarly, if a class is replaced with a class that is sufficiently similar (MRO preserved, etc.), class references don't need any processing. A typical incremental update to a file only changes a few externally visible things in a module, and this means that often only few external references need any processing, even if the modified module is large. * A no-op update of a module should not require any processing outside the module, since all relevant object identities are preserved. * The AST diff operation (mypy.server.astdiff) and the top-level fine-grained incremental logic (mypy.server.update) handle the cases where the new AST has differences from the old one that may need to be propagated to elsewhere in the program. See the main entry point merge_asts for more details. """ from __future__ import annotations from typing import TypeVar, cast from mypy.nodes import ( MDEF, SYMBOL_NODE_EXPRESSION_TYPES, AssertTypeExpr, AssignmentStmt, Block, CallExpr, CastExpr, ClassDef, EnumCallExpr, FuncBase, FuncDef, LambdaExpr, MemberExpr, MypyFile, NamedTupleExpr, NameExpr, NewTypeExpr, OverloadedFuncDef, RefExpr, Statement, SuperExpr, SymbolNode, SymbolTable, TypeAlias, TypedDictExpr, TypeFormExpr, TypeInfo, Var, ) from mypy.traverser import TraverserVisitor from mypy.types import ( AnyType, CallableArgument, CallableType, DeletedType, EllipsisType, ErasedType, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, PlaceholderType, RawExpressionType, SyntheticTypeVisitor, TupleType, Type, TypeAliasType, TypedDictType, TypeList, TypeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, ) from mypy.typestate import type_state from mypy.util import get_prefix, replace_object_state def merge_asts( old: MypyFile, old_symbols: SymbolTable, new: MypyFile, new_symbols: SymbolTable ) -> None: """Merge a new version of a module AST to a previous version. The main idea is to preserve the identities of externally visible nodes in the old AST (that have a corresponding node in the new AST). All old node state (outside identity) will come from the new AST. When this returns, 'old' will refer to the merged AST, but 'new_symbols' will be the new symbol table. 'new' and 'old_symbols' will no longer be valid. """ assert new.fullname == old.fullname # Find the mapping from new to old node identities for all nodes # whose identities should be preserved. replacement_map = replacement_map_from_symbol_table( old_symbols, new_symbols, prefix=old.fullname ) # Also replace references to the new MypyFile node. replacement_map[new] = old # Perform replacements to everywhere within the new AST (not including symbol # tables). node = replace_nodes_in_ast(new, replacement_map) assert node is old # Also replace AST node references in the *new* symbol table (we'll # continue to use the new symbol table since it has all the new definitions # that have no correspondence in the old AST). replace_nodes_in_symbol_table(new_symbols, replacement_map) def replacement_map_from_symbol_table( old: SymbolTable, new: SymbolTable, prefix: str ) -> dict[SymbolNode, SymbolNode]: """Create a new-to-old object identity map by comparing two symbol table revisions. Both symbol tables must refer to revisions of the same module id. The symbol tables are compared recursively (recursing into nested class symbol tables), but only within the given module prefix. Don't recurse into other modules accessible through the symbol table. """ replacements: dict[SymbolNode, SymbolNode] = {} for name, node in old.items(): if name in new and ( node.kind == MDEF or node.node and get_prefix(node.node.fullname) == prefix ): new_node = new[name] if ( type(new_node.node) == type(node.node) and new_node.node and node.node and new_node.node.fullname == node.node.fullname and new_node.kind == node.kind ): replacements[new_node.node] = node.node if isinstance(node.node, TypeInfo) and isinstance(new_node.node, TypeInfo): type_repl = replacement_map_from_symbol_table( node.node.names, new_node.node.names, prefix ) replacements.update(type_repl) if node.node.special_alias and new_node.node.special_alias: replacements[new_node.node.special_alias] = node.node.special_alias return replacements def replace_nodes_in_ast( node: SymbolNode, replacements: dict[SymbolNode, SymbolNode] ) -> SymbolNode: """Replace all references to replacement map keys within an AST node, recursively. Also replace the *identity* of any nodes that have replacements. Return the *replaced* version of the argument node (which may have a different identity, if it's included in the replacement map). """ visitor = NodeReplaceVisitor(replacements) node.accept(visitor) return replacements.get(node, node) SN = TypeVar("SN", bound=SymbolNode) class NodeReplaceVisitor(TraverserVisitor): """Transform some nodes to new identities in an AST. Only nodes that live in the symbol table may be replaced, which simplifies the implementation some. Also replace all references to the old identities. """ def __init__(self, replacements: dict[SymbolNode, SymbolNode]) -> None: self.replacements = replacements def visit_mypy_file(self, node: MypyFile) -> None: node = self.fixup(node) node.defs = self.replace_statements(node.defs) super().visit_mypy_file(node) def visit_block(self, node: Block) -> None: node.body = self.replace_statements(node.body) super().visit_block(node) def visit_func_def(self, node: FuncDef) -> None: node = self.fixup(node) self.process_base_func(node) super().visit_func_def(node) def visit_overloaded_func_def(self, node: OverloadedFuncDef) -> None: self.process_base_func(node) super().visit_overloaded_func_def(node) def visit_class_def(self, node: ClassDef) -> None: # TODO additional things? node.info = self.fixup_and_reset_typeinfo(node.info) node.defs.body = self.replace_statements(node.defs.body) info = node.info for tv in node.type_vars: if isinstance(tv, TypeVarType): self.process_type_var_def(tv) if info: if info.is_named_tuple: self.process_synthetic_type_info(info) else: self.process_type_info(info) super().visit_class_def(node) def process_base_func(self, node: FuncBase) -> None: self.fixup_type(node.type) node.info = self.fixup(node.info) if node.unanalyzed_type: # Unanalyzed types can have AST node references self.fixup_type(node.unanalyzed_type) def process_type_var_def(self, tv: TypeVarType) -> None: for value in tv.values: self.fixup_type(value) self.fixup_type(tv.upper_bound) self.fixup_type(tv.default) def process_param_spec_def(self, tv: ParamSpecType) -> None: self.fixup_type(tv.upper_bound) self.fixup_type(tv.default) def process_type_var_tuple_def(self, tv: TypeVarTupleType) -> None: self.fixup_type(tv.upper_bound) self.fixup_type(tv.default) def visit_assignment_stmt(self, node: AssignmentStmt) -> None: self.fixup_type(node.type) super().visit_assignment_stmt(node) # Expressions def visit_name_expr(self, node: NameExpr) -> None: self.visit_ref_expr(node) def visit_member_expr(self, node: MemberExpr) -> None: if node.def_var: node.def_var = self.fixup(node.def_var) self.visit_ref_expr(node) super().visit_member_expr(node) def visit_ref_expr(self, node: RefExpr) -> None: if node.node is not None: node.node = self.fixup(node.node) if isinstance(node.node, Var): # The Var node may be an orphan and won't otherwise be processed. node.node.accept(self) def visit_namedtuple_expr(self, node: NamedTupleExpr) -> None: super().visit_namedtuple_expr(node) node.info = self.fixup_and_reset_typeinfo(node.info) self.process_synthetic_type_info(node.info) def visit_cast_expr(self, node: CastExpr) -> None: super().visit_cast_expr(node) self.fixup_type(node.type) def visit_type_form_expr(self, node: TypeFormExpr) -> None: super().visit_type_form_expr(node) self.fixup_type(node.type) def visit_assert_type_expr(self, node: AssertTypeExpr) -> None: super().visit_assert_type_expr(node) self.fixup_type(node.type) def visit_super_expr(self, node: SuperExpr) -> None: super().visit_super_expr(node) if node.info is not None: node.info = self.fixup(node.info) def visit_call_expr(self, node: CallExpr) -> None: super().visit_call_expr(node) if isinstance(node.analyzed, SYMBOL_NODE_EXPRESSION_TYPES): node.analyzed = self.fixup(node.analyzed) def visit_newtype_expr(self, node: NewTypeExpr) -> None: if node.info: node.info = self.fixup_and_reset_typeinfo(node.info) self.process_synthetic_type_info(node.info) self.fixup_type(node.old_type) super().visit_newtype_expr(node) def visit_lambda_expr(self, node: LambdaExpr) -> None: node.info = self.fixup(node.info) super().visit_lambda_expr(node) def visit_typeddict_expr(self, node: TypedDictExpr) -> None: super().visit_typeddict_expr(node) node.info = self.fixup_and_reset_typeinfo(node.info) self.process_synthetic_type_info(node.info) def visit_enum_call_expr(self, node: EnumCallExpr) -> None: node.info = self.fixup_and_reset_typeinfo(node.info) self.process_synthetic_type_info(node.info) super().visit_enum_call_expr(node) # Others def visit_var(self, node: Var) -> None: node.info = self.fixup(node.info) self.fixup_type(node.type) self.fixup_type(node.setter_type) super().visit_var(node) def visit_type_alias(self, node: TypeAlias) -> None: self.fixup_type(node.target) for v in node.alias_tvars: self.fixup_type(v) super().visit_type_alias(node) # Helpers def fixup(self, node: SN) -> SN: if node in self.replacements: new = self.replacements[node] if isinstance(node, TypeInfo) and isinstance(new, TypeInfo): # Special case: special_alias is not exposed in symbol tables, but may appear # in external types (e.g. named tuples), so we need to update it manually. replace_object_state(new.special_alias, node.special_alias) replace_object_state(new, node, skip_slots=_get_ignored_slots(new)) return cast(SN, new) return node def fixup_and_reset_typeinfo(self, node: TypeInfo) -> TypeInfo: """Fix-up type info and reset subtype caches. This needs to be called at least once per each merged TypeInfo, as otherwise we may leak stale caches. """ if node in self.replacements: # The subclass relationships may change, so reset all caches relevant to the # old MRO. new = self.replacements[node] assert isinstance(new, TypeInfo) type_state.reset_all_subtype_caches_for(new) return self.fixup(node) def fixup_type(self, typ: Type | None) -> None: if typ is not None: typ.accept(TypeReplaceVisitor(self.replacements)) def process_type_info(self, info: TypeInfo | None) -> None: if info is None: return self.fixup_type(info.declared_metaclass) self.fixup_type(info.metaclass_type) for target in info._promote: self.fixup_type(target) self.fixup_type(info.tuple_type) self.fixup_type(info.typeddict_type) if info.special_alias: self.fixup_type(info.special_alias.target) info.defn.info = self.fixup(info) replace_nodes_in_symbol_table(info.names, self.replacements) for i, item in enumerate(info.mro): info.mro[i] = self.fixup(info.mro[i]) for i, base in enumerate(info.bases): self.fixup_type(info.bases[i]) def process_synthetic_type_info(self, info: TypeInfo) -> None: # Synthetic types (types not created using a class statement) don't # have bodies in the AST so we need to iterate over their symbol # tables separately, unlike normal classes. self.process_type_info(info) for node in info.names.values(): if node.node: node.node.accept(self) def replace_statements(self, nodes: list[Statement]) -> list[Statement]: result = [] for node in nodes: if isinstance(node, SymbolNode): node = self.fixup(node) result.append(node) return result class TypeReplaceVisitor(SyntheticTypeVisitor[None]): """Similar to NodeReplaceVisitor, but for type objects. Note: this visitor may sometimes visit unanalyzed types such as 'UnboundType' and 'RawExpressionType' For example, see NodeReplaceVisitor.process_base_func. """ def __init__(self, replacements: dict[SymbolNode, SymbolNode]) -> None: self.replacements = replacements def visit_instance(self, typ: Instance) -> None: typ.type = self.fixup(typ.type) for arg in typ.args: arg.accept(self) if typ.last_known_value: typ.last_known_value.accept(self) def visit_type_alias_type(self, typ: TypeAliasType) -> None: assert typ.alias is not None typ.alias = self.fixup(typ.alias) for arg in typ.args: arg.accept(self) def visit_any(self, typ: AnyType) -> None: pass def visit_none_type(self, typ: NoneType) -> None: pass def visit_callable_type(self, typ: CallableType) -> None: for arg in typ.arg_types: arg.accept(self) typ.ret_type.accept(self) if typ.definition: # No need to fixup since this is just a cross-reference. typ.definition = self.replacements.get(typ.definition, typ.definition) # Fallback can be None for callable types that haven't been semantically analyzed. if typ.fallback is not None: typ.fallback.accept(self) for tv in typ.variables: if isinstance(tv, TypeVarType): tv.upper_bound.accept(self) for value in tv.values: value.accept(self) def visit_overloaded(self, t: Overloaded) -> None: for item in t.items: item.accept(self) # Fallback can be None for overloaded types that haven't been semantically analyzed. if t.fallback is not None: t.fallback.accept(self) def visit_erased_type(self, t: ErasedType) -> None: # This type should exist only temporarily during type inference raise RuntimeError("Cannot handle erased type") def visit_deleted_type(self, typ: DeletedType) -> None: pass def visit_partial_type(self, typ: PartialType) -> None: raise RuntimeError("Cannot handle partial type") def visit_tuple_type(self, typ: TupleType) -> None: for item in typ.items: item.accept(self) # Fallback can be None for implicit tuple types that haven't been semantically analyzed. if typ.partial_fallback is not None: typ.partial_fallback.accept(self) def visit_type_type(self, typ: TypeType) -> None: typ.item.accept(self) def visit_type_var(self, typ: TypeVarType) -> None: typ.upper_bound.accept(self) typ.default.accept(self) for value in typ.values: value.accept(self) def visit_param_spec(self, typ: ParamSpecType) -> None: typ.upper_bound.accept(self) typ.default.accept(self) typ.prefix.accept(self) def visit_type_var_tuple(self, typ: TypeVarTupleType) -> None: typ.upper_bound.accept(self) typ.default.accept(self) def visit_unpack_type(self, typ: UnpackType) -> None: typ.type.accept(self) def visit_parameters(self, typ: Parameters) -> None: for arg in typ.arg_types: arg.accept(self) def visit_typeddict_type(self, typ: TypedDictType) -> None: for value_type in typ.items.values(): value_type.accept(self) typ.fallback.accept(self) def visit_raw_expression_type(self, t: RawExpressionType) -> None: pass def visit_literal_type(self, typ: LiteralType) -> None: typ.fallback.accept(self) def visit_unbound_type(self, typ: UnboundType) -> None: for arg in typ.args: arg.accept(self) def visit_type_list(self, typ: TypeList) -> None: for item in typ.items: item.accept(self) def visit_callable_argument(self, typ: CallableArgument) -> None: typ.typ.accept(self) def visit_ellipsis_type(self, typ: EllipsisType) -> None: pass def visit_uninhabited_type(self, typ: UninhabitedType) -> None: pass def visit_union_type(self, typ: UnionType) -> None: for item in typ.items: item.accept(self) def visit_placeholder_type(self, t: PlaceholderType) -> None: for item in t.args: item.accept(self) # Helpers def fixup(self, node: SN) -> SN: if node in self.replacements: new = self.replacements[node] return cast(SN, new) return node def replace_nodes_in_symbol_table( symbols: SymbolTable, replacements: dict[SymbolNode, SymbolNode] ) -> None: for node in symbols.values(): if node.node: if node.node in replacements: new = replacements[node.node] old = node.node replace_object_state(new, old, skip_slots=_get_ignored_slots(new)) node.node = new if isinstance(node.node, (Var, TypeAlias)): # Handle them here just in case these aren't exposed through the AST. node.node.accept(NodeReplaceVisitor(replacements)) def _get_ignored_slots(node: SymbolNode) -> tuple[str, ...]: if isinstance(node, OverloadedFuncDef): return ("setter",) if isinstance(node, TypeInfo): return ("special_alias",) return () ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/aststrip.py0000644000175100017510000002603115112307767017010 0ustar00runnerrunner"""Strip/reset AST in-place to match state after semantic analyzer pre-analysis. Fine-grained incremental mode reruns semantic analysis main pass and type checking for *existing* AST nodes (targets) when changes are propagated using fine-grained dependencies. AST nodes attributes are sometimes changed during semantic analysis main pass, and running semantic analysis again on those nodes would produce incorrect results, since this pass isn't idempotent. This pass resets AST nodes to reflect the state after semantic pre-analysis, so that we can rerun semantic analysis. (The above is in contrast to behavior with modules that have source code changes, for which we re-parse the entire module and reconstruct a fresh AST. No stripping is required in this case. Both modes of operation should have the same outcome.) Notes: * This is currently pretty fragile, as we must carefully undo whatever changes can be made in semantic analysis main pass, including changes to symbol tables. * We reuse existing AST nodes because it makes it relatively straightforward to reprocess only a single target within a module efficiently. If there was a way to parse a single target within a file, in time proportional to the size of the target, we'd rather create fresh AST nodes than strip them. (This is possible only in Python 3.8+) * Currently we don't actually reset all changes, but only those known to affect non-idempotent semantic analysis behavior. TODO: It would be more principled and less fragile to reset everything changed in semantic analysis main pass and later. * Reprocessing may recreate AST nodes (such as Var nodes, and TypeInfo nodes created with assignment statements) that will get different identities from the original AST. Thus running an AST merge is necessary after stripping, even though some identities are preserved. """ from __future__ import annotations from collections.abc import Iterator from contextlib import contextmanager, nullcontext from typing_extensions import TypeAlias as _TypeAlias from mypy.nodes import ( CLASSDEF_NO_INFO, AssignmentStmt, Block, CallExpr, ClassDef, Decorator, ForStmt, FuncDef, ImportAll, ImportFrom, IndexExpr, ListExpr, MemberExpr, MypyFile, NameExpr, Node, OpExpr, OverloadedFuncDef, RefExpr, StarExpr, SuperExpr, SymbolTableNode, TupleExpr, TypeInfo, Var, ) from mypy.traverser import TraverserVisitor from mypy.types import CallableType from mypy.typestate import type_state SavedAttributes: _TypeAlias = dict[tuple[ClassDef, str], SymbolTableNode] def strip_target( node: MypyFile | FuncDef | OverloadedFuncDef, saved_attrs: SavedAttributes ) -> None: """Reset a fine-grained incremental target to state before semantic analysis. All TypeInfos are killed. Therefore we need to preserve the variables defined as attributes on self. This is done by patches (callbacks) returned from this function that re-add these variables when called. Args: node: node to strip saved_attrs: collect attributes here that may need to be re-added to classes afterwards if stripping a class body (this dict is mutated) """ visitor = NodeStripVisitor(saved_attrs) if isinstance(node, MypyFile): visitor.strip_file_top_level(node) else: node.accept(visitor) class NodeStripVisitor(TraverserVisitor): def __init__(self, saved_class_attrs: SavedAttributes) -> None: # The current active class. self.type: TypeInfo | None = None # This is True at class scope, but not in methods. self.is_class_body = False # By default, process function definitions. If False, don't -- this is used for # processing module top levels. self.recurse_into_functions = True # These attributes were removed from top-level classes during strip and # will be added afterwards (if no existing definition is found). These # must be added back before semantically analyzing any methods. self.saved_class_attrs = saved_class_attrs def strip_file_top_level(self, file_node: MypyFile) -> None: """Strip a module top-level (don't recursive into functions).""" self.recurse_into_functions = False file_node.plugin_deps.clear() file_node.accept(self) for name in file_node.names.copy(): # TODO: this is a hot fix, we should delete all names, # see https://github.com/python/mypy/issues/6422. if "@" not in name: del file_node.names[name] def visit_block(self, b: Block) -> None: if b.is_unreachable: return super().visit_block(b) def visit_class_def(self, node: ClassDef) -> None: """Strip class body and type info, but don't strip methods.""" # We need to save the implicitly defined instance variables, # i.e. those defined as attributes on self. Otherwise, they would # be lost if we only reprocess top-levels (this kills TypeInfos) # but not the methods that defined those variables. if not self.recurse_into_functions: self.save_implicit_attributes(node) # We need to delete any entries that were generated by plugins, # since they will get regenerated. to_delete = {v.node for v in node.info.names.values() if v.plugin_generated} node.type_vars = [] node.base_type_exprs.extend(node.removed_base_type_exprs) node.removed_base_type_exprs = [] node.defs.body = [ s for s in node.defs.body if s not in to_delete # type: ignore[comparison-overlap] ] with self.enter_class(node.info): super().visit_class_def(node) node.defs.body.extend(node.removed_statements) node.removed_statements = [] type_state.reset_subtype_caches_for(node.info) # Kill the TypeInfo, since there is none before semantic analysis. node.info = CLASSDEF_NO_INFO node.analyzed = None def save_implicit_attributes(self, node: ClassDef) -> None: """Produce callbacks that re-add attributes defined on self.""" for name, sym in node.info.names.items(): if isinstance(sym.node, Var) and sym.implicit: self.saved_class_attrs[node, name] = sym def visit_func_def(self, node: FuncDef) -> None: if not self.recurse_into_functions: return node.expanded = [] node.type = node.unanalyzed_type if node.type: # Type variable binder binds type variables before the type is analyzed, # this causes unanalyzed_type to be modified in place. We needed to revert this # in order to get the state exactly as it was before semantic analysis. # See also #4814. assert isinstance(node.type, CallableType) node.type.variables = () with self.enter_method(node.info) if node.info else nullcontext(): super().visit_func_def(node) def visit_decorator(self, node: Decorator) -> None: node.var.type = None for expr in node.decorators: expr.accept(self) if self.recurse_into_functions: node.func.accept(self) else: # Only touch the final status if we re-process # the top level, since decorators are processed there. node.var.is_final = False node.func.is_final = False def visit_overloaded_func_def(self, node: OverloadedFuncDef) -> None: if not self.recurse_into_functions: return # Revert change made during semantic analysis main pass. node.items = node.unanalyzed_items.copy() node.impl = None node.is_final = False super().visit_overloaded_func_def(node) def visit_assignment_stmt(self, node: AssignmentStmt) -> None: node.type = node.unanalyzed_type node.is_final_def = False node.is_alias_def = False if self.type and not self.is_class_body: for lvalue in node.lvalues: # Revert assignments made via self attributes. self.process_lvalue_in_method(lvalue) super().visit_assignment_stmt(node) def visit_import_from(self, node: ImportFrom) -> None: node.assignments = [] def visit_import_all(self, node: ImportAll) -> None: node.assignments = [] def visit_for_stmt(self, node: ForStmt) -> None: node.index_type = node.unanalyzed_index_type node.inferred_item_type = None node.inferred_iterator_type = None super().visit_for_stmt(node) def visit_name_expr(self, node: NameExpr) -> None: self.strip_ref_expr(node) def visit_member_expr(self, node: MemberExpr) -> None: self.strip_ref_expr(node) super().visit_member_expr(node) def visit_index_expr(self, node: IndexExpr) -> None: node.analyzed = None # May have been an alias or type application. super().visit_index_expr(node) def visit_op_expr(self, node: OpExpr) -> None: node.analyzed = None # May have been an alias super().visit_op_expr(node) def strip_ref_expr(self, node: RefExpr) -> None: node.kind = None node.node = None node.fullname = "" node.is_new_def = False node.is_inferred_def = False def visit_call_expr(self, node: CallExpr) -> None: node.analyzed = None super().visit_call_expr(node) def visit_super_expr(self, node: SuperExpr) -> None: node.info = None super().visit_super_expr(node) def process_lvalue_in_method(self, lvalue: Node) -> None: if isinstance(lvalue, MemberExpr): if lvalue.is_new_def: # Remove defined attribute from the class symbol table. If is_new_def is # true for a MemberExpr, we know that it must be an assignment through # self, since only those can define new attributes. assert self.type is not None if lvalue.name in self.type.names: del self.type.names[lvalue.name] key = (self.type.defn, lvalue.name) if key in self.saved_class_attrs: del self.saved_class_attrs[key] elif isinstance(lvalue, (TupleExpr, ListExpr)): for item in lvalue.items: self.process_lvalue_in_method(item) elif isinstance(lvalue, StarExpr): self.process_lvalue_in_method(lvalue.expr) @contextmanager def enter_class(self, info: TypeInfo) -> Iterator[None]: old_type = self.type old_is_class_body = self.is_class_body self.type = info self.is_class_body = True yield self.type = old_type self.is_class_body = old_is_class_body @contextmanager def enter_method(self, info: TypeInfo) -> Iterator[None]: old_type = self.type old_is_class_body = self.is_class_body self.type = info self.is_class_body = False yield self.type = old_type self.is_class_body = old_is_class_body ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/deps.py0000644000175100017510000014102315112307767016071 0ustar00runnerrunner"""Generate fine-grained dependencies for AST nodes, for use in the daemon mode. Dependencies are stored in a map from *triggers* to *sets of affected locations*. A trigger is a string that represents a program property that has changed, such as the signature of a specific function. Triggers are written as '<...>' (angle brackets). When a program property changes, we determine the relevant trigger(s) and all affected locations. The latter are stale and will have to be reprocessed. An affected location is a string than can refer to a *target* (a non-nested function or method, or a module top level), a class, or a trigger (for recursively triggering other triggers). Here's an example representation of a simple dependency map (in format " -> locations"): -> m.f -> , m.A, m.f Assuming 'A' is a class, this means that 1) if a property of 'm.A.g', such as the signature, is changed, we need to process target (function) 'm.f' 2) if the MRO or other significant property of class 'm.A' changes, we need to process target 'm.f', the entire class 'm.A', and locations triggered by trigger '' (this explanation is a bit simplified; see below for more details). The triggers to fire are determined using mypy.server.astdiff. Examples of triggers: * '' represents a module attribute/function/class. If any externally visible property of 'x' changes, this gets fired. For changes within classes, only "big" changes cause the class to be triggered (such as a change in MRO). Smaller changes, such as changes to some attributes, don't trigger the entire class. * '' represents the type and kind of attribute/method 'x' of class 'mod.Cls'. This can also refer to an attribute inherited from a base class (relevant if it's accessed through a value of type 'Cls' instead of the base class type). * '' represents the existence of module 'package.mod'. This gets triggered if 'package.mod' is created or deleted, or if it gets changed into something other than a module. Examples of locations: * 'mod' is the top level of module 'mod' (doesn't include any function bodies, but includes class bodies not nested within a function). * 'mod.f' is function 'f' in module 'mod' (module-level variables aren't separate locations but are included in the module top level). Functions also include any nested functions and classes -- such nested definitions aren't separate locations, for simplicity of implementation. * 'mod.Cls.f' is method 'f' of 'mod.Cls'. Non-method attributes aren't locations. * 'mod.Cls' represents each method in class 'mod.Cls' + the top-level of the module 'mod'. (To simplify the implementation, there is no location that only includes the body of a class without the entire surrounding module top level.) * Trigger '<...>' as a location is an indirect way of referring to all locations triggered by the trigger. These indirect locations keep the dependency map smaller and easier to manage. Triggers can be triggered by program changes such as these: * Addition or deletion of an attribute (or module). * Change of the kind of thing a name represents (such as a change from a function to a class). * Change of the static type of a name. Changes in the body of a function that aren't reflected in the signature don't cause the function to be triggered. More generally, we trigger only on changes that may affect type checking results outside the module that contains the change. We don't generate dependencies from builtins and certain other stdlib modules, since these change very rarely, and they would just increase the size of the dependency map significantly without significant benefit. Test cases for this module live in 'test-data/unit/deps*.test'. """ from __future__ import annotations from collections import defaultdict from mypy.nodes import ( GDEF, LDEF, MDEF, SYMBOL_FUNCBASE_TYPES, AssertTypeExpr, AssignmentStmt, AwaitExpr, Block, CallExpr, CastExpr, ClassDef, ComparisonExpr, Decorator, DelStmt, DictionaryComprehension, EnumCallExpr, Expression, ForStmt, FuncBase, FuncDef, GeneratorExpr, Import, ImportAll, ImportFrom, IndexExpr, MemberExpr, MypyFile, NamedTupleExpr, NameExpr, NewTypeExpr, Node, OperatorAssignmentStmt, OpExpr, OverloadedFuncDef, RefExpr, StarExpr, SuperExpr, TupleExpr, TypeAliasExpr, TypeApplication, TypedDictExpr, TypeFormExpr, TypeInfo, TypeVarExpr, UnaryExpr, Var, WithStmt, YieldFromExpr, ) from mypy.operators import ( op_methods, ops_with_inplace_method, reverse_op_methods, unary_op_methods, ) from mypy.options import Options from mypy.scope import Scope from mypy.server.trigger import make_trigger, make_wildcard_trigger from mypy.traverser import TraverserVisitor from mypy.typeops import bind_self from mypy.types import ( AnyType, CallableType, DeletedType, ErasedType, FunctionLike, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeType, TypeVarTupleType, TypeVarType, TypeVisitor, UnboundType, UninhabitedType, UnionType, UnpackType, get_proper_type, ) from mypy.typestate import type_state from mypy.util import correct_relative_import def get_dependencies( target: MypyFile, type_map: dict[Expression, Type], python_version: tuple[int, int], options: Options, ) -> dict[str, set[str]]: """Get all dependencies of a node, recursively.""" visitor = DependencyVisitor(type_map, python_version, target.alias_deps, options) target.accept(visitor) return visitor.map def get_dependencies_of_target( module_id: str, module_tree: MypyFile, target: Node, type_map: dict[Expression, Type], python_version: tuple[int, int], ) -> dict[str, set[str]]: """Get dependencies of a target -- don't recursive into nested targets.""" # TODO: Add tests for this function. visitor = DependencyVisitor(type_map, python_version, module_tree.alias_deps) with visitor.scope.module_scope(module_id): if isinstance(target, MypyFile): # Only get dependencies of the top-level of the module. Don't recurse into # functions. for defn in target.defs: # TODO: Recurse into top-level statements and class bodies but skip functions. if not isinstance(defn, (ClassDef, Decorator, FuncDef, OverloadedFuncDef)): defn.accept(visitor) elif isinstance(target, FuncBase) and target.info: # It's a method. # TODO: Methods in nested classes. with visitor.scope.class_scope(target.info): target.accept(visitor) else: target.accept(visitor) return visitor.map class DependencyVisitor(TraverserVisitor): def __init__( self, type_map: dict[Expression, Type], python_version: tuple[int, int], alias_deps: defaultdict[str, set[str]], options: Options | None = None, ) -> None: self.scope = Scope() self.type_map = type_map # This attribute holds a mapping from target to names of type aliases # it depends on. These need to be processed specially, since they may # appear in expanded form in symbol tables, because of a get_proper_type() # somewhere. For example, after: # A = int # x: A # the module symbol table will just have a Var `x` with type `int`, # and the dependency of `x` on `A` is lost. Therefore, the alias dependencies # are preserved at alias expansion points in `semanal.py`, stored as an attribute # on MypyFile, and then passed here. # TODO: fine-grained is more susceptible to this partially because we are reckless # about get_proper_type() in *this specific file*. self.alias_deps = alias_deps self.map: dict[str, set[str]] = {} self.is_class = False self.is_package_init_file = False self.options = options def visit_mypy_file(self, o: MypyFile) -> None: with self.scope.module_scope(o.fullname): self.is_package_init_file = o.is_package_init_file() self.add_type_alias_deps(self.scope.current_target()) for trigger, targets in o.plugin_deps.items(): self.map.setdefault(trigger, set()).update(targets) super().visit_mypy_file(o) def visit_func_def(self, o: FuncDef) -> None: with self.scope.function_scope(o): target = self.scope.current_target() if o.type: if self.is_class and isinstance(o.type, FunctionLike): signature: Type = bind_self(o.type) else: signature = o.type for trigger in self.get_type_triggers(signature): self.add_dependency(trigger) self.add_dependency(trigger, target=make_trigger(target)) if o.info: for base in non_trivial_bases(o.info): # Base class __init__/__new__ doesn't generate a logical # dependency since the override can be incompatible. if not self.use_logical_deps() or o.name not in ("__init__", "__new__"): self.add_dependency(make_trigger(base.fullname + "." + o.name)) self.add_type_alias_deps(self.scope.current_target()) super().visit_func_def(o) variants = set(o.expanded) - {o} for ex in variants: if isinstance(ex, FuncDef): super().visit_func_def(ex) def visit_decorator(self, o: Decorator) -> None: if not self.use_logical_deps(): # We don't need to recheck outer scope for an overload, only overload itself. # Also if any decorator is nested, it is not externally visible, so we don't need to # generate dependency. if not o.func.is_overload and self.scope.current_function_name() is None: self.add_dependency(make_trigger(o.func.fullname)) else: # Add logical dependencies from decorators to the function. For example, # if we have # @dec # def func(): ... # then if `dec` is unannotated, then it will "spoil" `func` and consequently # all call sites, making them all `Any`. for d in o.decorators: tname: str | None = None if isinstance(d, RefExpr) and d.fullname: tname = d.fullname if isinstance(d, CallExpr) and isinstance(d.callee, RefExpr) and d.callee.fullname: tname = d.callee.fullname if tname is not None: self.add_dependency(make_trigger(tname), make_trigger(o.func.fullname)) super().visit_decorator(o) def visit_class_def(self, o: ClassDef) -> None: with self.scope.class_scope(o.info): target = self.scope.current_full_target() self.add_dependency(make_trigger(target), target) old_is_class = self.is_class self.is_class = True # Add dependencies to type variables of a generic class. for tv in o.type_vars: self.add_dependency(make_trigger(tv.fullname), target) self.process_type_info(o.info) super().visit_class_def(o) self.is_class = old_is_class def visit_newtype_expr(self, o: NewTypeExpr) -> None: if o.info: with self.scope.class_scope(o.info): self.process_type_info(o.info) def process_type_info(self, info: TypeInfo) -> None: target = self.scope.current_full_target() for base in info.bases: self.add_type_dependencies(base, target=target) if info.tuple_type: self.add_type_dependencies(info.tuple_type, target=make_trigger(target)) if info.typeddict_type: self.add_type_dependencies(info.typeddict_type, target=make_trigger(target)) if info.declared_metaclass: self.add_type_dependencies(info.declared_metaclass, target=make_trigger(target)) if info.is_protocol: for base_info in info.mro[:-1]: # We add dependencies from whole MRO to cover explicit subprotocols. # For example: # # class Super(Protocol): # x: int # class Sub(Super, Protocol): # y: int # # In this example we add -> , to invalidate Sub if # a new member is added to Super. self.add_dependency( make_wildcard_trigger(base_info.fullname), target=make_trigger(target) ) # More protocol dependencies are collected in type_state._snapshot_protocol_deps # after a full run or update is finished. self.add_type_alias_deps(self.scope.current_target()) for name, node in info.names.items(): if isinstance(node.node, Var): # Recheck Liskov if needed, self definitions are checked in the defining method if node.node.is_initialized_in_class and has_user_bases(info): self.add_dependency(make_trigger(info.fullname + "." + name)) for base_info in non_trivial_bases(info): # If the type of an attribute changes in a base class, we make references # to the attribute in the subclass stale. self.add_dependency( make_trigger(base_info.fullname + "." + name), target=make_trigger(info.fullname + "." + name), ) for base_info in non_trivial_bases(info): for name, node in base_info.names.items(): if self.use_logical_deps(): # Skip logical dependency if an attribute is not overridden. For example, # in case of: # class Base: # x = 1 # y = 2 # class Sub(Base): # x = 3 # we skip -> , because even if `y` is unannotated it # doesn't affect precision of Liskov checking. if name not in info.names: continue # __init__ and __new__ can be overridden with different signatures, so no # logical dependency. if name in ("__init__", "__new__"): continue self.add_dependency( make_trigger(base_info.fullname + "." + name), target=make_trigger(info.fullname + "." + name), ) if not self.use_logical_deps(): # These dependencies are only useful for propagating changes -- # they aren't logical dependencies since __init__ and __new__ can be # overridden with a different signature. self.add_dependency( make_trigger(base_info.fullname + ".__init__"), target=make_trigger(info.fullname + ".__init__"), ) self.add_dependency( make_trigger(base_info.fullname + ".__new__"), target=make_trigger(info.fullname + ".__new__"), ) # If the set of abstract attributes change, this may invalidate class # instantiation, or change the generated error message, since Python checks # class abstract status when creating an instance. self.add_dependency( make_trigger(base_info.fullname + ".(abstract)"), target=make_trigger(info.fullname + ".__init__"), ) # If the base class abstract attributes change, subclass abstract # attributes need to be recalculated. self.add_dependency(make_trigger(base_info.fullname + ".(abstract)")) def visit_import(self, o: Import) -> None: for id, as_id in o.ids: self.add_dependency(make_trigger(id), self.scope.current_target()) def visit_import_from(self, o: ImportFrom) -> None: if self.use_logical_deps(): # Just importing a name doesn't create a logical dependency. return module_id, _ = correct_relative_import( self.scope.current_module_id(), o.relative, o.id, self.is_package_init_file ) self.add_dependency(make_trigger(module_id)) # needed if module is added/removed for name, as_name in o.names: self.add_dependency(make_trigger(module_id + "." + name)) def visit_import_all(self, o: ImportAll) -> None: module_id, _ = correct_relative_import( self.scope.current_module_id(), o.relative, o.id, self.is_package_init_file ) # The current target needs to be rechecked if anything "significant" changes in the # target module namespace (as the imported definitions will need to be updated). self.add_dependency(make_wildcard_trigger(module_id)) def visit_block(self, o: Block) -> None: if not o.is_unreachable: super().visit_block(o) def visit_assignment_stmt(self, o: AssignmentStmt) -> None: rvalue = o.rvalue if isinstance(rvalue, CallExpr) and isinstance(rvalue.analyzed, TypeVarExpr): analyzed = rvalue.analyzed self.add_type_dependencies( analyzed.upper_bound, target=make_trigger(analyzed.fullname) ) for val in analyzed.values: self.add_type_dependencies(val, target=make_trigger(analyzed.fullname)) # We need to re-analyze the definition if bound or value is deleted. super().visit_call_expr(rvalue) elif isinstance(rvalue, CallExpr) and isinstance(rvalue.analyzed, NamedTupleExpr): # Depend on types of named tuple items. info = rvalue.analyzed.info prefix = f"{self.scope.current_full_target()}.{info.name}" for name, symnode in info.names.items(): if not name.startswith("_") and isinstance(symnode.node, Var): typ = symnode.node.type if typ: self.add_type_dependencies(typ) self.add_type_dependencies(typ, target=make_trigger(prefix)) attr_target = make_trigger(f"{prefix}.{name}") self.add_type_dependencies(typ, target=attr_target) elif isinstance(rvalue, CallExpr) and isinstance(rvalue.analyzed, TypedDictExpr): # Depend on the underlying typeddict type info = rvalue.analyzed.info assert info.typeddict_type is not None prefix = f"{self.scope.current_full_target()}.{info.name}" self.add_type_dependencies(info.typeddict_type, target=make_trigger(prefix)) elif isinstance(rvalue, CallExpr) and isinstance(rvalue.analyzed, EnumCallExpr): # Enum values are currently not checked, but for future we add the deps on them for name, symnode in rvalue.analyzed.info.names.items(): if isinstance(symnode.node, Var) and symnode.node.type: self.add_type_dependencies(symnode.node.type) elif o.is_alias_def: assert len(o.lvalues) == 1 lvalue = o.lvalues[0] assert isinstance(lvalue, NameExpr) typ = get_proper_type(self.type_map.get(lvalue)) if isinstance(typ, FunctionLike) and typ.is_type_obj(): class_name = typ.type_object().fullname self.add_dependency(make_trigger(class_name + ".__init__")) self.add_dependency(make_trigger(class_name + ".__new__")) if isinstance(rvalue, IndexExpr) and isinstance(rvalue.analyzed, TypeAliasExpr): self.add_type_dependencies(rvalue.analyzed.node.target) elif typ: self.add_type_dependencies(typ) else: # Normal assignment super().visit_assignment_stmt(o) for lvalue in o.lvalues: self.process_lvalue(lvalue) items = o.lvalues + [rvalue] for i in range(len(items) - 1): lvalue = items[i] rvalue = items[i + 1] if isinstance(lvalue, TupleExpr): self.add_attribute_dependency_for_expr(rvalue, "__iter__") if o.type: self.add_type_dependencies(o.type) if self.use_logical_deps() and o.unanalyzed_type is None: # Special case: for definitions without an explicit type like this: # x = func(...) # we add a logical dependency -> , because if `func` is not annotated, # then it will make all points of use of `x` unchecked. if ( isinstance(rvalue, CallExpr) and isinstance(rvalue.callee, RefExpr) and rvalue.callee.fullname ): fname: str | None = None if isinstance(rvalue.callee.node, TypeInfo): # use actual __init__ as a dependency source init = rvalue.callee.node.get("__init__") if init and isinstance(init.node, SYMBOL_FUNCBASE_TYPES): fname = init.node.fullname else: fname = rvalue.callee.fullname if not fname: return for lv in o.lvalues: if isinstance(lv, RefExpr) and lv.fullname and lv.is_new_def: if lv.kind == LDEF: return # local definitions don't generate logical deps self.add_dependency(make_trigger(fname), make_trigger(lv.fullname)) def process_lvalue(self, lvalue: Expression) -> None: """Generate additional dependencies for an lvalue.""" if isinstance(lvalue, IndexExpr): self.add_operator_method_dependency(lvalue.base, "__setitem__") elif isinstance(lvalue, NameExpr): if lvalue.kind in (MDEF, GDEF): # Assignment to an attribute in the class body, or direct assignment to a # global variable. lvalue_type = self.get_non_partial_lvalue_type(lvalue) type_triggers = self.get_type_triggers(lvalue_type) attr_trigger = make_trigger(f"{self.scope.current_full_target()}.{lvalue.name}") for type_trigger in type_triggers: self.add_dependency(type_trigger, attr_trigger) elif isinstance(lvalue, MemberExpr): if self.is_self_member_ref(lvalue) and lvalue.is_new_def: node = lvalue.node if isinstance(node, Var): info = node.info if info and has_user_bases(info): # Recheck Liskov for self definitions self.add_dependency(make_trigger(info.fullname + "." + lvalue.name)) if lvalue.kind is None: # Reference to a non-module attribute if lvalue.expr not in self.type_map: # Unreachable assignment -> not checked so no dependencies to generate. return object_type = self.type_map[lvalue.expr] lvalue_type = self.get_non_partial_lvalue_type(lvalue) type_triggers = self.get_type_triggers(lvalue_type) for attr_trigger in self.attribute_triggers(object_type, lvalue.name): for type_trigger in type_triggers: self.add_dependency(type_trigger, attr_trigger) elif isinstance(lvalue, TupleExpr): for item in lvalue.items: self.process_lvalue(item) elif isinstance(lvalue, StarExpr): self.process_lvalue(lvalue.expr) def is_self_member_ref(self, memberexpr: MemberExpr) -> bool: """Does memberexpr to refer to an attribute of self?""" if not isinstance(memberexpr.expr, NameExpr): return False node = memberexpr.expr.node return isinstance(node, Var) and node.is_self def get_non_partial_lvalue_type(self, lvalue: RefExpr) -> Type: if lvalue not in self.type_map: # Likely a block considered unreachable during type checking. return UninhabitedType() lvalue_type = get_proper_type(self.type_map[lvalue]) if isinstance(lvalue_type, PartialType): if isinstance(lvalue.node, Var): if lvalue.node.type: lvalue_type = get_proper_type(lvalue.node.type) else: lvalue_type = UninhabitedType() else: # Probably a secondary, non-definition assignment that doesn't # result in a non-partial type. We won't be able to infer any # dependencies from this so just return something. (The first, # definition assignment with a partial type is handled # differently, in the semantic analyzer.) assert not lvalue.is_new_def return UninhabitedType() return lvalue_type def visit_operator_assignment_stmt(self, o: OperatorAssignmentStmt) -> None: super().visit_operator_assignment_stmt(o) self.process_lvalue(o.lvalue) method = op_methods[o.op] self.add_attribute_dependency_for_expr(o.lvalue, method) if o.op in ops_with_inplace_method: inplace_method = "__i" + method[2:] self.add_attribute_dependency_for_expr(o.lvalue, inplace_method) def visit_for_stmt(self, o: ForStmt) -> None: super().visit_for_stmt(o) if not o.is_async: # __getitem__ is only used if __iter__ is missing but for simplicity we # just always depend on both. self.add_attribute_dependency_for_expr(o.expr, "__iter__") self.add_attribute_dependency_for_expr(o.expr, "__getitem__") if o.inferred_iterator_type: self.add_attribute_dependency(o.inferred_iterator_type, "__next__") else: self.add_attribute_dependency_for_expr(o.expr, "__aiter__") if o.inferred_iterator_type: self.add_attribute_dependency(o.inferred_iterator_type, "__anext__") self.process_lvalue(o.index) if isinstance(o.index, TupleExpr): # Process multiple assignment to index variables. item_type = o.inferred_item_type if item_type: # This is similar to above. self.add_attribute_dependency(item_type, "__iter__") self.add_attribute_dependency(item_type, "__getitem__") if o.index_type: self.add_type_dependencies(o.index_type) def visit_with_stmt(self, o: WithStmt) -> None: super().visit_with_stmt(o) for e in o.expr: if not o.is_async: self.add_attribute_dependency_for_expr(e, "__enter__") self.add_attribute_dependency_for_expr(e, "__exit__") else: self.add_attribute_dependency_for_expr(e, "__aenter__") self.add_attribute_dependency_for_expr(e, "__aexit__") for typ in o.analyzed_types: self.add_type_dependencies(typ) def visit_del_stmt(self, o: DelStmt) -> None: super().visit_del_stmt(o) if isinstance(o.expr, IndexExpr): self.add_attribute_dependency_for_expr(o.expr.base, "__delitem__") # Expressions def process_global_ref_expr(self, o: RefExpr) -> None: if o.fullname: self.add_dependency(make_trigger(o.fullname)) # If this is a reference to a type, generate a dependency to its # constructor. # IDEA: Avoid generating spurious dependencies for except statements, # class attribute references, etc., if performance is a problem. typ = get_proper_type(self.type_map.get(o)) if isinstance(typ, FunctionLike) and typ.is_type_obj(): class_name = typ.type_object().fullname self.add_dependency(make_trigger(class_name + ".__init__")) self.add_dependency(make_trigger(class_name + ".__new__")) def visit_name_expr(self, o: NameExpr) -> None: if o.kind == LDEF: # We don't track dependencies to local variables, since they # aren't externally visible. return if o.kind == MDEF: # Direct reference to member is only possible in the scope that # defined the name, so no dependency is required. return self.process_global_ref_expr(o) def visit_member_expr(self, e: MemberExpr) -> None: if isinstance(e.expr, RefExpr) and isinstance(e.expr.node, TypeInfo): # Special case class attribute so that we don't depend on "__init__". self.add_dependency(make_trigger(e.expr.node.fullname)) else: super().visit_member_expr(e) if e.kind is not None: # Reference to a module attribute self.process_global_ref_expr(e) else: # Reference to a non-module (or missing) attribute if e.expr not in self.type_map: # No type available -- this happens for unreachable code. Since it's unreachable, # it wasn't type checked and we don't need to generate dependencies. return if isinstance(e.expr, RefExpr) and isinstance(e.expr.node, MypyFile): # Special case: reference to a missing module attribute. self.add_dependency(make_trigger(e.expr.node.fullname + "." + e.name)) return typ = get_proper_type(self.type_map[e.expr]) self.add_attribute_dependency(typ, e.name) if self.use_logical_deps() and isinstance(typ, AnyType): name = self.get_unimported_fullname(e, typ) if name is not None: # Generate a logical dependency from an unimported # definition (which comes from a missing module). # Example: # import missing # "missing" not in build # # def g() -> None: # missing.f() # Generate dependency from "missing.f" self.add_dependency(make_trigger(name)) def get_unimported_fullname(self, e: MemberExpr, typ: AnyType) -> str | None: """If e refers to an unimported definition, infer the fullname of this. Return None if e doesn't refer to an unimported definition or if we can't determine the name. """ suffix = "" # Unwrap nested member expression to handle cases like "a.b.c.d" where # "a.b" is a known reference to an unimported module. Find the base # reference to an unimported module (such as "a.b") and the name suffix # (such as "c.d") needed to build a full name. while typ.type_of_any == TypeOfAny.from_another_any and isinstance(e.expr, MemberExpr): suffix = "." + e.name + suffix e = e.expr if e.expr not in self.type_map: return None obj_type = get_proper_type(self.type_map[e.expr]) if not isinstance(obj_type, AnyType): # Can't find the base reference to the unimported module. return None typ = obj_type if typ.type_of_any == TypeOfAny.from_unimported_type and typ.missing_import_name: # Infer the full name of the unimported definition. return typ.missing_import_name + "." + e.name + suffix return None def visit_super_expr(self, e: SuperExpr) -> None: # Arguments in "super(C, self)" won't generate useful logical deps. if not self.use_logical_deps(): super().visit_super_expr(e) if e.info is not None: name = e.name for base in non_trivial_bases(e.info): self.add_dependency(make_trigger(base.fullname + "." + name)) if name in base.names: # No need to depend on further base classes, since we found # the target. This is safe since if the target gets # deleted or modified, we'll trigger it. break def visit_call_expr(self, e: CallExpr) -> None: if isinstance(e.callee, RefExpr) and e.callee.fullname == "builtins.isinstance": self.process_isinstance_call(e) else: super().visit_call_expr(e) typ = self.type_map.get(e.callee) if typ is not None: typ = get_proper_type(typ) if not isinstance(typ, FunctionLike): self.add_attribute_dependency(typ, "__call__") def process_isinstance_call(self, e: CallExpr) -> None: """Process "isinstance(...)" in a way to avoid some extra dependencies.""" if len(e.args) == 2: arg = e.args[1] if ( isinstance(arg, RefExpr) and arg.kind == GDEF and isinstance(arg.node, TypeInfo) and arg.fullname ): # Special case to avoid redundant dependencies from "__init__". self.add_dependency(make_trigger(arg.fullname)) return # In uncommon cases generate normal dependencies. These will include # spurious dependencies, but the performance impact is small. super().visit_call_expr(e) def visit_cast_expr(self, e: CastExpr) -> None: super().visit_cast_expr(e) self.add_type_dependencies(e.type) def visit_type_form_expr(self, e: TypeFormExpr) -> None: super().visit_type_form_expr(e) self.add_type_dependencies(e.type) def visit_assert_type_expr(self, e: AssertTypeExpr) -> None: super().visit_assert_type_expr(e) self.add_type_dependencies(e.type) def visit_type_application(self, e: TypeApplication) -> None: super().visit_type_application(e) for typ in e.types: self.add_type_dependencies(typ) def visit_index_expr(self, e: IndexExpr) -> None: super().visit_index_expr(e) self.add_operator_method_dependency(e.base, "__getitem__") def visit_unary_expr(self, e: UnaryExpr) -> None: super().visit_unary_expr(e) if e.op not in unary_op_methods: return method = unary_op_methods[e.op] self.add_operator_method_dependency(e.expr, method) def visit_op_expr(self, e: OpExpr) -> None: super().visit_op_expr(e) self.process_binary_op(e.op, e.left, e.right) def visit_comparison_expr(self, e: ComparisonExpr) -> None: super().visit_comparison_expr(e) for i, op in enumerate(e.operators): left = e.operands[i] right = e.operands[i + 1] self.process_binary_op(op, left, right) def process_binary_op(self, op: str, left: Expression, right: Expression) -> None: method = op_methods.get(op) if method: if op == "in": self.add_operator_method_dependency(right, method) else: self.add_operator_method_dependency(left, method) rev_method = reverse_op_methods.get(method) if rev_method: self.add_operator_method_dependency(right, rev_method) def add_operator_method_dependency(self, e: Expression, method: str) -> None: typ = get_proper_type(self.type_map.get(e)) if typ is not None: self.add_operator_method_dependency_for_type(typ, method) def add_operator_method_dependency_for_type(self, typ: ProperType, method: str) -> None: # Note that operator methods can't be (non-metaclass) methods of type objects # (that is, TypeType objects or Callables representing a type). if isinstance(typ, TypeVarType): typ = get_proper_type(typ.upper_bound) if isinstance(typ, TupleType): typ = typ.partial_fallback if isinstance(typ, Instance): trigger = make_trigger(typ.type.fullname + "." + method) self.add_dependency(trigger) elif isinstance(typ, UnionType): for item in typ.items: self.add_operator_method_dependency_for_type(get_proper_type(item), method) elif isinstance(typ, FunctionLike) and typ.is_type_obj(): self.add_operator_method_dependency_for_type(typ.fallback, method) elif isinstance(typ, TypeType): if isinstance(typ.item, Instance) and typ.item.type.metaclass_type is not None: self.add_operator_method_dependency_for_type(typ.item.type.metaclass_type, method) def visit_generator_expr(self, e: GeneratorExpr) -> None: super().visit_generator_expr(e) for seq in e.sequences: self.add_iter_dependency(seq) def visit_dictionary_comprehension(self, e: DictionaryComprehension) -> None: super().visit_dictionary_comprehension(e) for seq in e.sequences: self.add_iter_dependency(seq) def visit_star_expr(self, e: StarExpr) -> None: super().visit_star_expr(e) self.add_iter_dependency(e.expr) def visit_yield_from_expr(self, e: YieldFromExpr) -> None: super().visit_yield_from_expr(e) self.add_iter_dependency(e.expr) def visit_await_expr(self, e: AwaitExpr) -> None: super().visit_await_expr(e) self.add_attribute_dependency_for_expr(e.expr, "__await__") # Helpers def add_type_alias_deps(self, target: str) -> None: # Type aliases are special, because some of the dependencies are calculated # in semanal.py, before they are expanded. if target in self.alias_deps: for alias in self.alias_deps[target]: self.add_dependency(make_trigger(alias)) def add_dependency(self, trigger: str, target: str | None = None) -> None: """Add dependency from trigger to a target. If the target is not given explicitly, use the current target. """ if trigger.startswith( (" None: """Add dependencies to all components of a type. Args: target: If not None, override the default (current) target of the generated dependency. """ for trigger in self.get_type_triggers(typ): self.add_dependency(trigger, target) def add_attribute_dependency(self, typ: Type, name: str) -> None: """Add dependencies for accessing a named attribute of a type.""" targets = self.attribute_triggers(typ, name) for target in targets: self.add_dependency(target) def attribute_triggers(self, typ: Type, name: str) -> list[str]: """Return all triggers associated with the attribute of a type.""" typ = get_proper_type(typ) if isinstance(typ, TypeVarType): typ = get_proper_type(typ.upper_bound) if isinstance(typ, TupleType): typ = typ.partial_fallback if isinstance(typ, Instance): member = f"{typ.type.fullname}.{name}" return [make_trigger(member)] elif isinstance(typ, FunctionLike) and typ.is_type_obj(): member = f"{typ.type_object().fullname}.{name}" triggers = [make_trigger(member)] triggers.extend(self.attribute_triggers(typ.fallback, name)) return triggers elif isinstance(typ, UnionType): targets = [] for item in typ.items: targets.extend(self.attribute_triggers(item, name)) return targets elif isinstance(typ, TypeType): triggers = self.attribute_triggers(typ.item, name) if isinstance(typ.item, Instance) and typ.item.type.metaclass_type is not None: triggers.append( make_trigger(f"{typ.item.type.metaclass_type.type.fullname}.{name}") ) return triggers else: return [] def add_attribute_dependency_for_expr(self, e: Expression, name: str) -> None: typ = self.type_map.get(e) if typ is not None: self.add_attribute_dependency(typ, name) def add_iter_dependency(self, node: Expression) -> None: typ = self.type_map.get(node) if typ: self.add_attribute_dependency(typ, "__iter__") def use_logical_deps(self) -> bool: return self.options is not None and self.options.logical_deps def get_type_triggers(self, typ: Type) -> list[str]: return get_type_triggers(typ, self.use_logical_deps()) def get_type_triggers( typ: Type, use_logical_deps: bool, seen_aliases: set[TypeAliasType] | None = None ) -> list[str]: """Return all triggers that correspond to a type becoming stale.""" return typ.accept(TypeTriggersVisitor(use_logical_deps, seen_aliases)) class TypeTriggersVisitor(TypeVisitor[list[str]]): def __init__( self, use_logical_deps: bool, seen_aliases: set[TypeAliasType] | None = None ) -> None: self.deps: list[str] = [] self.seen_aliases: set[TypeAliasType] = seen_aliases or set() self.use_logical_deps = use_logical_deps def get_type_triggers(self, typ: Type) -> list[str]: return get_type_triggers(typ, self.use_logical_deps, self.seen_aliases) def visit_instance(self, typ: Instance) -> list[str]: trigger = make_trigger(typ.type.fullname) triggers = [trigger] for arg in typ.args: triggers.extend(self.get_type_triggers(arg)) if typ.last_known_value: triggers.extend(self.get_type_triggers(typ.last_known_value)) if typ.extra_attrs and typ.extra_attrs.mod_name: # Module as type effectively depends on all module attributes, use wildcard. triggers.append(make_wildcard_trigger(typ.extra_attrs.mod_name)) return triggers def visit_type_alias_type(self, typ: TypeAliasType) -> list[str]: if typ in self.seen_aliases: return [] self.seen_aliases.add(typ) assert typ.alias is not None trigger = make_trigger(typ.alias.fullname) triggers = [trigger] for arg in typ.args: triggers.extend(self.get_type_triggers(arg)) triggers.extend(self.get_type_triggers(typ.alias.target)) return triggers def visit_any(self, typ: AnyType) -> list[str]: if typ.missing_import_name is not None: return [make_trigger(typ.missing_import_name)] return [] def visit_none_type(self, typ: NoneType) -> list[str]: return [] def visit_callable_type(self, typ: CallableType) -> list[str]: triggers = [] for arg in typ.arg_types: triggers.extend(self.get_type_triggers(arg)) triggers.extend(self.get_type_triggers(typ.ret_type)) # fallback is a metaclass type for class objects, and is # processed separately. return triggers def visit_overloaded(self, typ: Overloaded) -> list[str]: triggers = [] for item in typ.items: triggers.extend(self.get_type_triggers(item)) return triggers def visit_erased_type(self, t: ErasedType) -> list[str]: # This type should exist only temporarily during type inference assert False, "Should not see an erased type here" def visit_deleted_type(self, typ: DeletedType) -> list[str]: return [] def visit_partial_type(self, typ: PartialType) -> list[str]: assert False, "Should not see a partial type here" def visit_tuple_type(self, typ: TupleType) -> list[str]: triggers = [] for item in typ.items: triggers.extend(self.get_type_triggers(item)) triggers.extend(self.get_type_triggers(typ.partial_fallback)) return triggers def visit_type_type(self, typ: TypeType) -> list[str]: triggers = self.get_type_triggers(typ.item) if not self.use_logical_deps: old_triggers = triggers.copy() for trigger in old_triggers: triggers.append(trigger.rstrip(">") + ".__init__>") triggers.append(trigger.rstrip(">") + ".__new__>") return triggers def visit_type_var(self, typ: TypeVarType) -> list[str]: triggers = [] if typ.fullname: triggers.append(make_trigger(typ.fullname)) triggers.extend(self.get_type_triggers(typ.upper_bound)) triggers.extend(self.get_type_triggers(typ.default)) for val in typ.values: triggers.extend(self.get_type_triggers(val)) return triggers def visit_param_spec(self, typ: ParamSpecType) -> list[str]: triggers = [] if typ.fullname: triggers.append(make_trigger(typ.fullname)) triggers.extend(self.get_type_triggers(typ.upper_bound)) triggers.extend(self.get_type_triggers(typ.default)) triggers.extend(self.get_type_triggers(typ.prefix)) return triggers def visit_type_var_tuple(self, typ: TypeVarTupleType) -> list[str]: triggers = [] if typ.fullname: triggers.append(make_trigger(typ.fullname)) triggers.extend(self.get_type_triggers(typ.upper_bound)) triggers.extend(self.get_type_triggers(typ.default)) return triggers def visit_unpack_type(self, typ: UnpackType) -> list[str]: return typ.type.accept(self) def visit_parameters(self, typ: Parameters) -> list[str]: triggers = [] for arg in typ.arg_types: triggers.extend(self.get_type_triggers(arg)) return triggers def visit_typeddict_type(self, typ: TypedDictType) -> list[str]: triggers = [] for item in typ.items.values(): triggers.extend(self.get_type_triggers(item)) triggers.extend(self.get_type_triggers(typ.fallback)) return triggers def visit_literal_type(self, typ: LiteralType) -> list[str]: return self.get_type_triggers(typ.fallback) def visit_unbound_type(self, typ: UnboundType) -> list[str]: return [] def visit_uninhabited_type(self, typ: UninhabitedType) -> list[str]: return [] def visit_union_type(self, typ: UnionType) -> list[str]: triggers = [] for item in typ.items: triggers.extend(self.get_type_triggers(item)) return triggers def merge_dependencies(new_deps: dict[str, set[str]], deps: dict[str, set[str]]) -> None: for trigger, targets in new_deps.items(): deps.setdefault(trigger, set()).update(targets) def non_trivial_bases(info: TypeInfo) -> list[TypeInfo]: return [base for base in info.mro[1:] if base.fullname != "builtins.object"] def has_user_bases(info: TypeInfo) -> bool: return any(base.module_name not in ("builtins", "typing", "enum") for base in info.mro[1:]) def dump_all_dependencies( modules: dict[str, MypyFile], type_map: dict[Expression, Type], python_version: tuple[int, int], options: Options, ) -> None: """Generate dependencies for all interesting modules and print them to stdout.""" all_deps: dict[str, set[str]] = {} for id, node in modules.items(): # Uncomment for debugging: # print('processing', id) if id in ("builtins", "typing") or "/typeshed/" in node.path: continue assert id == node.fullname deps = get_dependencies(node, type_map, python_version, options) for trigger, targets in deps.items(): all_deps.setdefault(trigger, set()).update(targets) type_state.add_all_protocol_deps(all_deps) for trigger, targets in sorted(all_deps.items(), key=lambda x: x[0]): print(trigger) for target in sorted(targets): print(f" {target}") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/mergecheck.py0000644000175100017510000000530515112307767017235 0ustar00runnerrunner"""Check for duplicate AST nodes after merge.""" from __future__ import annotations from typing import Final from mypy.nodes import Decorator, FakeInfo, FuncDef, SymbolNode, Var from mypy.server.objgraph import get_path, get_reachable_graph # If True, print more verbose output on failure. DUMP_MISMATCH_NODES: Final = False def check_consistency(o: object) -> None: """Fail if there are two AST nodes with the same fullname reachable from 'o'. Raise AssertionError on failure and print some debugging output. """ seen, parents = get_reachable_graph(o) reachable = list(seen.values()) syms = [x for x in reachable if isinstance(x, SymbolNode)] m: dict[str, SymbolNode] = {} for sym in syms: if isinstance(sym, FakeInfo): continue fn = sym.fullname # Skip None and empty names, since they are ambiguous. # TODO: Everything should have a proper full name? if not fn: continue # Skip stuff that should be expected to have duplicate names if isinstance(sym, (Var, Decorator)): continue if isinstance(sym, FuncDef) and sym.is_overload: continue if fn not in m: m[fn] = sym continue # We have trouble and need to decide what to do about it. sym1, sym2 = sym, m[fn] # If the type changed, then it shouldn't have been merged. if type(sym1) is not type(sym2): continue path1 = get_path(sym1, seen, parents) path2 = get_path(sym2, seen, parents) if fn in m: print(f"\nDuplicate {type(sym).__name__!r} nodes with fullname {fn!r} found:") print("[1] %d: %s" % (id(sym1), path_to_str(path1))) print("[2] %d: %s" % (id(sym2), path_to_str(path2))) if DUMP_MISMATCH_NODES and fn in m: # Add verbose output with full AST node contents. print("---") print(id(sym1), sym1) print("---") print(id(sym2), sym2) assert sym.fullname not in m def path_to_str(path: list[tuple[object, object]]) -> str: result = "" for attr, obj in path: t = type(obj).__name__ if t in ("dict", "tuple", "SymbolTable", "list"): result += f"[{repr(attr)}]" else: if isinstance(obj, Var): result += f".{attr}({t}:{obj.name})" elif t in ("BuildManager", "FineGrainedBuildManager"): # Omit class name for some classes that aren't part of a class # hierarchy since there isn't much ambiguity. result += f".{attr}" else: result += f".{attr}({t})" return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/objgraph.py0000644000175100017510000000623615112307767016740 0ustar00runnerrunner"""Find all objects reachable from a root object.""" from __future__ import annotations import types import weakref from collections.abc import Iterable, Iterator, Mapping from typing import Final method_descriptor_type: Final = type(object.__dir__) method_wrapper_type: Final = type(object().__ne__) wrapper_descriptor_type: Final = type(object.__ne__) FUNCTION_TYPES: Final = ( types.BuiltinFunctionType, types.FunctionType, types.MethodType, method_descriptor_type, wrapper_descriptor_type, method_wrapper_type, ) ATTR_BLACKLIST: Final = {"__doc__", "__name__", "__class__", "__dict__"} # Instances of these types can't have references to other objects ATOMIC_TYPE_BLACKLIST: Final = {bool, int, float, str, type(None), object} # Don't look at most attributes of these types COLLECTION_TYPE_BLACKLIST: Final = {list, set, dict, tuple} # Don't return these objects TYPE_BLACKLIST: Final = {weakref.ReferenceType} def isproperty(o: object, attr: str) -> bool: return isinstance(getattr(type(o), attr, None), property) def get_edge_candidates(o: object) -> Iterator[tuple[object, object]]: # use getattr because mypyc expects dict, not mappingproxy if "__getattribute__" in getattr(type(o), "__dict__"): # noqa: B009 return if type(o) not in COLLECTION_TYPE_BLACKLIST: for attr in dir(o): try: if attr not in ATTR_BLACKLIST and hasattr(o, attr) and not isproperty(o, attr): e = getattr(o, attr) if type(e) not in ATOMIC_TYPE_BLACKLIST: yield attr, e except AssertionError: pass if isinstance(o, Mapping): yield from o.items() elif isinstance(o, Iterable) and not isinstance(o, str): for i, e in enumerate(o): yield i, e def get_edges(o: object) -> Iterator[tuple[object, object]]: for s, e in get_edge_candidates(o): if isinstance(e, FUNCTION_TYPES): # We don't want to collect methods, but do want to collect values # in closures and self pointers to other objects if hasattr(e, "__closure__"): yield (s, "__closure__"), e.__closure__ if hasattr(e, "__self__"): se = e.__self__ if se is not o and se is not type(o) and hasattr(s, "__self__"): yield s.__self__, se else: if type(e) not in TYPE_BLACKLIST: yield s, e def get_reachable_graph(root: object) -> tuple[dict[int, object], dict[int, tuple[int, object]]]: parents = {} seen = {id(root): root} worklist = [root] while worklist: o = worklist.pop() for s, e in get_edges(o): if id(e) in seen: continue parents[id(e)] = (id(o), s) seen[id(e)] = e worklist.append(e) return seen, parents def get_path( o: object, seen: dict[int, object], parents: dict[int, tuple[int, object]] ) -> list[tuple[object, object]]: path = [] while id(o) in parents: pid, attr = parents[id(o)] o = seen[pid] path.append((attr, o)) path.reverse() return path ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/subexpr.py0000644000175100017510000001233615112307767016632 0ustar00runnerrunner"""Find all subexpressions of an AST node.""" from __future__ import annotations from mypy.nodes import ( AssertTypeExpr, AssignmentExpr, AwaitExpr, CallExpr, CastExpr, ComparisonExpr, ConditionalExpr, DictExpr, DictionaryComprehension, Expression, GeneratorExpr, IndexExpr, LambdaExpr, ListComprehension, ListExpr, MemberExpr, Node, OpExpr, RevealExpr, SetComprehension, SetExpr, SliceExpr, StarExpr, TupleExpr, TypeApplication, TypeFormExpr, UnaryExpr, YieldExpr, YieldFromExpr, ) from mypy.traverser import TraverserVisitor def get_subexpressions(node: Node) -> list[Expression]: visitor = SubexpressionFinder() node.accept(visitor) return visitor.expressions class SubexpressionFinder(TraverserVisitor): def __init__(self) -> None: self.expressions: list[Expression] = [] def visit_int_expr(self, o: Expression) -> None: self.add(o) def visit_name_expr(self, o: Expression) -> None: self.add(o) def visit_float_expr(self, o: Expression) -> None: self.add(o) def visit_str_expr(self, o: Expression) -> None: self.add(o) def visit_bytes_expr(self, o: Expression) -> None: self.add(o) def visit_unicode_expr(self, o: Expression) -> None: self.add(o) def visit_complex_expr(self, o: Expression) -> None: self.add(o) def visit_ellipsis(self, o: Expression) -> None: self.add(o) def visit_super_expr(self, o: Expression) -> None: self.add(o) def visit_type_var_expr(self, o: Expression) -> None: self.add(o) def visit_type_alias_expr(self, o: Expression) -> None: self.add(o) def visit_namedtuple_expr(self, o: Expression) -> None: self.add(o) def visit_typeddict_expr(self, o: Expression) -> None: self.add(o) def visit__promote_expr(self, o: Expression) -> None: self.add(o) def visit_newtype_expr(self, o: Expression) -> None: self.add(o) def visit_member_expr(self, e: MemberExpr) -> None: self.add(e) super().visit_member_expr(e) def visit_yield_from_expr(self, e: YieldFromExpr) -> None: self.add(e) super().visit_yield_from_expr(e) def visit_yield_expr(self, e: YieldExpr) -> None: self.add(e) super().visit_yield_expr(e) def visit_call_expr(self, e: CallExpr) -> None: self.add(e) super().visit_call_expr(e) def visit_op_expr(self, e: OpExpr) -> None: self.add(e) super().visit_op_expr(e) def visit_comparison_expr(self, e: ComparisonExpr) -> None: self.add(e) super().visit_comparison_expr(e) def visit_slice_expr(self, e: SliceExpr) -> None: self.add(e) super().visit_slice_expr(e) def visit_cast_expr(self, e: CastExpr) -> None: self.add(e) super().visit_cast_expr(e) def visit_type_form_expr(self, e: TypeFormExpr) -> None: self.add(e) super().visit_type_form_expr(e) def visit_assert_type_expr(self, e: AssertTypeExpr) -> None: self.add(e) super().visit_assert_type_expr(e) def visit_reveal_expr(self, e: RevealExpr) -> None: self.add(e) super().visit_reveal_expr(e) def visit_assignment_expr(self, e: AssignmentExpr) -> None: self.add(e) super().visit_assignment_expr(e) def visit_unary_expr(self, e: UnaryExpr) -> None: self.add(e) super().visit_unary_expr(e) def visit_list_expr(self, e: ListExpr) -> None: self.add(e) super().visit_list_expr(e) def visit_tuple_expr(self, e: TupleExpr) -> None: self.add(e) super().visit_tuple_expr(e) def visit_dict_expr(self, e: DictExpr) -> None: self.add(e) super().visit_dict_expr(e) def visit_set_expr(self, e: SetExpr) -> None: self.add(e) super().visit_set_expr(e) def visit_index_expr(self, e: IndexExpr) -> None: self.add(e) super().visit_index_expr(e) def visit_generator_expr(self, e: GeneratorExpr) -> None: self.add(e) super().visit_generator_expr(e) def visit_dictionary_comprehension(self, e: DictionaryComprehension) -> None: self.add(e) super().visit_dictionary_comprehension(e) def visit_list_comprehension(self, e: ListComprehension) -> None: self.add(e) super().visit_list_comprehension(e) def visit_set_comprehension(self, e: SetComprehension) -> None: self.add(e) super().visit_set_comprehension(e) def visit_conditional_expr(self, e: ConditionalExpr) -> None: self.add(e) super().visit_conditional_expr(e) def visit_type_application(self, e: TypeApplication) -> None: self.add(e) super().visit_type_application(e) def visit_lambda_expr(self, e: LambdaExpr) -> None: self.add(e) super().visit_lambda_expr(e) def visit_star_expr(self, e: StarExpr) -> None: self.add(e) super().visit_star_expr(e) def visit_await_expr(self, e: AwaitExpr) -> None: self.add(e) super().visit_await_expr(e) def add(self, e: Expression) -> None: self.expressions.append(e) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/target.py0000644000175100017510000000042115112307767016420 0ustar00runnerrunnerfrom __future__ import annotations def trigger_to_target(s: str) -> str: assert s[0] == "<" # Strip off the angle brackets s = s[1:-1] # If there is a [wildcard] or similar, strip that off too if s[-1] == "]": s = s.split("[")[0] return s ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/trigger.py0000644000175100017510000000143115112307767016577 0ustar00runnerrunner"""AST triggers that are used for fine-grained dependency handling.""" from __future__ import annotations from typing import Final # Used as a suffix for triggers to handle "from m import *" dependencies (see also # make_wildcard_trigger) WILDCARD_TAG: Final = "[wildcard]" def make_trigger(name: str) -> str: return f"<{name}>" def make_wildcard_trigger(module: str) -> str: """Special trigger fired when any top-level name is changed in a module. Note that this is different from a module trigger, as module triggers are only fired if the module is created, deleted, or replaced with a non-module, whereas a wildcard trigger is triggered for namespace changes. This is used for "from m import *" dependencies. """ return f"<{module}{WILDCARD_TAG}>" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/server/update.py0000644000175100017510000015043515112307767016427 0ustar00runnerrunner"""Update build by processing changes using fine-grained dependencies. Use fine-grained dependencies to update targets in other modules that may be affected by externally-visible changes in the changed modules. This forms the core of the fine-grained incremental daemon mode. This module is not used at all by the 'classic' (non-daemon) incremental mode. Here is some motivation for this mode: * By keeping program state in memory between incremental runs, we only have to process changed modules, not their dependencies. The classic incremental mode has to deserialize the symbol tables of all dependencies of changed modules, which can be slow for large programs. * Fine-grained dependencies allow processing only the relevant parts of modules indirectly affected by a change. Say, if only one function in a large module is affected by a change in another module, only this function is processed. The classic incremental mode always processes an entire file as a unit, which is typically much slower. * It's possible to independently process individual modules within an import cycle (SCC). Small incremental changes can be fast independent of the size of the related SCC. In classic incremental mode, any change within a SCC requires the entire SCC to be processed, which can slow things down considerably. Some terms: * A *target* is a function/method definition or the top level of a module. We refer to targets using their fully qualified name (e.g. 'mod.Cls.method'). Targets are the smallest units of processing during fine-grained incremental checking. * A *trigger* represents the properties of a part of a program, and it gets triggered/fired when these properties change. For example, '' refers to a module-level function. It gets triggered if the signature of the function changes, or if the function is removed, for example. Some program state is maintained across multiple build increments in memory: * The full ASTs of all modules are stored in memory all the time (this includes the type map). * A fine-grained dependency map is maintained, which maps triggers to affected program locations (these can be targets, triggers, or classes). The latter determine what other parts of a program need to be processed again due to a fired trigger. Here's a summary of how a fine-grained incremental program update happens: * Determine which modules have changes in their source code since the previous update. * Process changed modules one at a time. Perform a separate full update for each changed module, but only report the errors after all modules have been processed, since the intermediate states can generate bogus errors due to only seeing a partial set of changes. * Each changed module is processed in full. We parse the module, and run semantic analysis to create a new AST and symbol table for the module. Reuse the existing ASTs and symbol tables of modules that have no changes in their source code. At the end of this stage, we have two ASTs and symbol tables for the changed module (the old and the new versions). The latter AST has not yet been type checked. * Take a snapshot of the old symbol table. This is used later to determine which properties of the module have changed and which triggers to fire. * Merge the old AST with the new AST, preserving the identities of externally visible AST nodes for which we can find a corresponding node in the new AST. (Look at mypy.server.astmerge for the details.) This way all external references to AST nodes in the changed module will continue to point to the right nodes (assuming they still have a valid target). * Type check the new module. * Take another snapshot of the symbol table of the changed module. Look at the differences between the old and new snapshots to determine which parts of the changed modules have changed. The result is a set of fired triggers. * Using the dependency map and the fired triggers, decide which other targets have become stale and need to be reprocessed. * Create new fine-grained dependencies for the changed module. We don't garbage collect old dependencies, since extra dependencies are relatively harmless (they take some memory and can theoretically slow things down a bit by causing redundant work). This is implemented in mypy.server.deps. * Strip the stale AST nodes that we found above. This returns them to a state resembling the end of semantic analysis pass 1. We'll run semantic analysis again on the existing AST nodes, and since semantic analysis is not idempotent, we need to revert some changes made during semantic analysis. This is implemented in mypy.server.aststrip. * Run semantic analyzer passes 2 and 3 on the stale AST nodes, and type check them. We also need to do the symbol table snapshot comparison dance to find any changes, and we need to merge ASTs to preserve AST node identities. * If some triggers haven been fired, continue processing and repeat the previous steps until no triggers are fired. This is module is tested using end-to-end fine-grained incremental mode test cases (test-data/unit/fine-grained*.test). """ from __future__ import annotations import os import re import sys import time from collections.abc import Sequence from typing import Callable, Final, NamedTuple, Union from typing_extensions import TypeAlias as _TypeAlias from mypy.build import ( DEBUG_FINE_GRAINED, FAKE_ROOT_MODULE, BuildManager, BuildResult, Graph, State, load_graph, process_fresh_modules, ) from mypy.checker import FineGrainedDeferredNode from mypy.errors import CompileError from mypy.fscache import FileSystemCache from mypy.modulefinder import BuildSource from mypy.nodes import ( Decorator, FuncDef, ImportFrom, MypyFile, OverloadedFuncDef, SymbolNode, SymbolTable, TypeInfo, ) from mypy.options import Options from mypy.semanal_main import semantic_analysis_for_scc, semantic_analysis_for_targets from mypy.server.astdiff import ( SymbolSnapshot, compare_symbol_table_snapshots, snapshot_symbol_table, ) from mypy.server.astmerge import merge_asts from mypy.server.aststrip import SavedAttributes, strip_target from mypy.server.deps import get_dependencies_of_target, merge_dependencies from mypy.server.target import trigger_to_target from mypy.server.trigger import WILDCARD_TAG, make_trigger from mypy.typestate import type_state from mypy.util import is_stdlib_file, module_prefix, split_target MAX_ITER: Final = 1000 # These are modules beyond stdlib that have some special meaning for mypy. SENSITIVE_INTERNAL_MODULES = ("mypy_extensions", "typing_extensions") class FineGrainedBuildManager: def __init__(self, result: BuildResult) -> None: """Initialize fine-grained build based on a batch build. Args: result: Result from the initialized build. The manager and graph will be taken over by this class. manager: State of the build (mutated by this class) graph: Additional state of the build (mutated by this class) """ manager = result.manager self.manager = manager self.graph = result.graph self.previous_modules = get_module_to_path_map(self.graph) self.deps = manager.fg_deps # Merge in any root dependencies that may not have been loaded merge_dependencies(manager.load_fine_grained_deps(FAKE_ROOT_MODULE), self.deps) self.previous_targets_with_errors = manager.errors.targets() self.previous_messages: list[str] = result.errors.copy() # Module, if any, that had blocking errors in the last run as (id, path) tuple. self.blocking_error: tuple[str, str] | None = None # Module that we haven't processed yet but that are known to be stale. self.stale: list[tuple[str, str]] = [] # Disable the cache so that load_graph doesn't try going back to disk # for the cache. self.manager.cache_enabled = False # Some hints to the test suite about what is going on: # Active triggers during the last update self.triggered: list[str] = [] # Modules passed to update during the last update self.changed_modules: list[tuple[str, str]] = [] # Modules processed during the last update self.updated_modules: list[str] = [] # Targets processed during last update (for testing only). self.processed_targets: list[str] = [] def update( self, changed_modules: list[tuple[str, str]], removed_modules: list[tuple[str, str]], followed: bool = False, ) -> list[str]: """Update previous build result by processing changed modules. Also propagate changes to other modules as needed, but only process those parts of other modules that are affected by the changes. Retain the existing ASTs and symbol tables of unaffected modules. Reuses original BuildManager and Graph. Args: changed_modules: Modules changed since the previous update/build; each is a (module id, path) tuple. Includes modified and added modules. Assume this is correct; it's not validated here. removed_modules: Modules that have been deleted since the previous update or removed from the build. followed: If True, the modules were found through following imports Returns: A list of errors. """ self.processed_targets.clear() changed_modules = changed_modules + removed_modules removed_set = {module for module, _ in removed_modules} self.changed_modules = changed_modules if not changed_modules: return self.previous_messages # Reset find_module's caches for the new build. self.manager.find_module_cache.clear() self.triggered = [] self.updated_modules = [] changed_modules = dedupe_modules(changed_modules + self.stale) initial_set = {id for id, _ in changed_modules} self.manager.log_fine_grained( "==== update %s ====" % ", ".join(repr(id) for id, _ in changed_modules) ) if self.previous_targets_with_errors and is_verbose(self.manager): self.manager.log_fine_grained( "previous targets with errors: %s" % sorted(self.previous_targets_with_errors) ) blocking_error = None if self.blocking_error: # Handle blocking errors first. We'll exit as soon as we find a # module that still has blocking errors. self.manager.log_fine_grained(f"existing blocker: {self.blocking_error[0]}") changed_modules = dedupe_modules([self.blocking_error] + changed_modules) blocking_error = self.blocking_error[0] self.blocking_error = None while True: result = self.update_one( changed_modules, initial_set, removed_set, blocking_error, followed ) changed_modules, (next_id, next_path), blocker_messages = result if blocker_messages is not None: self.blocking_error = (next_id, next_path) self.stale = changed_modules messages = blocker_messages break # It looks like we are done processing everything, so now # reprocess all targets with errors. We are careful to # support the possibility that reprocessing an errored module # might trigger loading of a module, but I am not sure # if this can really happen. if not changed_modules: # N.B: We just checked next_id, so manager.errors contains # the errors from it. Thus we consider next_id up to date # when propagating changes from the errored targets, # which prevents us from reprocessing errors in it. changed_modules = propagate_changes_using_dependencies( self.manager, self.graph, self.deps, set(), {next_id}, self.previous_targets_with_errors, self.processed_targets, ) changed_modules = dedupe_modules(changed_modules) if not changed_modules: # Preserve state needed for the next update. self.previous_targets_with_errors = self.manager.errors.targets() messages = self.manager.errors.new_messages() break messages = sort_messages_preserving_file_order(messages, self.previous_messages) self.previous_messages = messages.copy() return messages def trigger(self, target: str) -> list[str]: """Trigger a specific target explicitly. This is intended for use by the suggestions engine. """ self.manager.errors.reset() changed_modules = propagate_changes_using_dependencies( self.manager, self.graph, self.deps, set(), set(), self.previous_targets_with_errors | {target}, [], ) # Preserve state needed for the next update. self.previous_targets_with_errors = self.manager.errors.targets() self.previous_messages = self.manager.errors.new_messages().copy() return self.update(changed_modules, []) def flush_cache(self) -> None: """Flush AST cache. This needs to be called after each increment, or file changes won't be detected reliably. """ self.manager.ast_cache.clear() def update_one( self, changed_modules: list[tuple[str, str]], initial_set: set[str], removed_set: set[str], blocking_error: str | None, followed: bool, ) -> tuple[list[tuple[str, str]], tuple[str, str], list[str] | None]: """Process a module from the list of changed modules. Returns: Tuple with these items: - Updated list of pending changed modules as (module id, path) tuples - Module which was actually processed as (id, path) tuple - If there was a blocking error, the error messages from it """ t0 = time.time() next_id, next_path = changed_modules.pop(0) # If we have a module with a blocking error that is no longer # in the import graph, we must skip it as otherwise we'll be # stuck with the blocking error. if ( next_id == blocking_error and next_id not in self.previous_modules and next_id not in initial_set ): self.manager.log_fine_grained( f"skip {next_id!r} (module with blocking error not in import graph)" ) return changed_modules, (next_id, next_path), None result = self.update_module(next_id, next_path, next_id in removed_set, followed) remaining, (next_id, next_path), blocker_messages = result changed_modules = [(id, path) for id, path in changed_modules if id != next_id] changed_modules = dedupe_modules(remaining + changed_modules) t1 = time.time() self.manager.log_fine_grained( f"update once: {next_id} in {t1 - t0:.3f}s - {len(changed_modules)} left" ) return changed_modules, (next_id, next_path), blocker_messages def update_module( self, module: str, path: str, force_removed: bool, followed: bool ) -> tuple[list[tuple[str, str]], tuple[str, str], list[str] | None]: """Update a single modified module. If the module contains imports of previously unseen modules, only process one of the new modules and return the remaining work to be done. Args: module: Id of the module path: File system path of the module force_removed: If True, consider module removed from the build even if path exists (used for removing an existing file from the build) followed: Was this found via import following? Returns: Tuple with these items: - Remaining modules to process as (module id, path) tuples - Module which was actually processed as (id, path) tuple - If there was a blocking error, the error messages from it """ self.manager.log_fine_grained(f"--- update single {module!r} ---") self.updated_modules.append(module) # builtins and friends could potentially get triggered because # of protocol stuff, but nothing good could possibly come from # actually updating them. if ( is_stdlib_file(self.manager.options.abs_custom_typeshed_dir, path) or module in SENSITIVE_INTERNAL_MODULES ): return [], (module, path), None manager = self.manager previous_modules = self.previous_modules graph = self.graph ensure_deps_loaded(module, self.deps, graph) # If this is an already existing module, make sure that we have # its tree loaded so that we can snapshot it for comparison. ensure_trees_loaded(manager, graph, [module]) t0 = time.time() # Record symbol table snapshot of old version the changed module. old_snapshots: dict[str, dict[str, SymbolSnapshot]] = {} if module in manager.modules: snapshot = snapshot_symbol_table(module, manager.modules[module].names) old_snapshots[module] = snapshot manager.errors.reset() self.processed_targets.append(module) result = update_module_isolated( module, path, manager, previous_modules, graph, force_removed, followed ) if isinstance(result, BlockedUpdate): # Blocking error -- just give up module, path, remaining, errors = result self.previous_modules = get_module_to_path_map(graph) return remaining, (module, path), errors assert isinstance(result, NormalUpdate) # Work around #4124 module, path, remaining, tree = result # TODO: What to do with stale dependencies? t1 = time.time() triggered = calculate_active_triggers(manager, old_snapshots, {module: tree}) if is_verbose(self.manager): filtered = [trigger for trigger in triggered if not trigger.endswith("__>")] self.manager.log_fine_grained(f"triggered: {sorted(filtered)!r}") self.triggered.extend(triggered | self.previous_targets_with_errors) if module in graph: graph[module].update_fine_grained_deps(self.deps) graph[module].free_state() remaining += propagate_changes_using_dependencies( manager, graph, self.deps, triggered, {module}, targets_with_errors=set(), processed_targets=self.processed_targets, ) t2 = time.time() manager.add_stats(update_isolated_time=t1 - t0, propagate_time=t2 - t1) # Preserve state needed for the next update. self.previous_targets_with_errors.update(manager.errors.targets()) self.previous_modules = get_module_to_path_map(graph) return remaining, (module, path), None def find_unloaded_deps( manager: BuildManager, graph: dict[str, State], initial: Sequence[str] ) -> list[str]: """Find all the deps of the nodes in initial that haven't had their tree loaded. The key invariant here is that if a module is loaded, so are all of their dependencies. This means that when we encounter a loaded module, we don't need to explore its dependencies. (This invariant is slightly violated when dependencies are added, which can be handled by calling find_unloaded_deps directly on the new dependencies.) """ worklist = list(initial) seen: set[str] = set() unloaded = [] while worklist: node = worklist.pop() if node in seen or node not in graph: continue seen.add(node) if node not in manager.modules: ancestors = graph[node].ancestors or [] worklist.extend(graph[node].dependencies + ancestors) unloaded.append(node) return unloaded def ensure_deps_loaded(module: str, deps: dict[str, set[str]], graph: dict[str, State]) -> None: """Ensure that the dependencies on a module are loaded. Dependencies are loaded into the 'deps' dictionary. This also requires loading dependencies from any parent modules, since dependencies will get stored with parent modules when a module doesn't exist. """ if module in graph and graph[module].fine_grained_deps_loaded: return parts = module.split(".") for i in range(len(parts)): base = ".".join(parts[: i + 1]) if base in graph and not graph[base].fine_grained_deps_loaded: merge_dependencies(graph[base].load_fine_grained_deps(), deps) graph[base].fine_grained_deps_loaded = True def ensure_trees_loaded( manager: BuildManager, graph: dict[str, State], initial: Sequence[str] ) -> None: """Ensure that the modules in initial and their deps have loaded trees.""" to_process = find_unloaded_deps(manager, graph, initial) if to_process: if is_verbose(manager): manager.log_fine_grained( "Calling process_fresh_modules on set of size {} ({})".format( len(to_process), sorted(to_process) ) ) process_fresh_modules(graph, to_process, manager) # The result of update_module_isolated when no blockers, with these items: # # - Id of the changed module (can be different from the module argument) # - Path of the changed module # - New AST for the changed module (None if module was deleted) # - Remaining changed modules that are not processed yet as (module id, path) # tuples (non-empty if the original changed module imported other new # modules) class NormalUpdate(NamedTuple): module: str path: str remaining: list[tuple[str, str]] tree: MypyFile | None # The result of update_module_isolated when there is a blocking error. Items # are similar to NormalUpdate (but there are fewer). class BlockedUpdate(NamedTuple): module: str path: str remaining: list[tuple[str, str]] messages: list[str] UpdateResult: _TypeAlias = Union[NormalUpdate, BlockedUpdate] def update_module_isolated( module: str, path: str, manager: BuildManager, previous_modules: dict[str, str], graph: Graph, force_removed: bool, followed: bool, ) -> UpdateResult: """Build a new version of one changed module only. Don't propagate changes to elsewhere in the program. Raise CompileError on encountering a blocking error. Args: module: Changed module (modified, created or deleted) path: Path of the changed module manager: Build manager graph: Build graph force_removed: If True, consider the module removed from the build even it the file exists Returns a named tuple describing the result (see above for details). """ if module not in graph: manager.log_fine_grained(f"new module {module!r}") if not manager.fscache.isfile(path) or force_removed: delete_module(module, path, graph, manager) return NormalUpdate(module, path, [], None) sources = get_sources(manager.fscache, previous_modules, [(module, path)], followed) if module in manager.missing_modules: manager.missing_modules.remove(module) orig_module = module orig_state = graph.get(module) orig_tree = manager.modules.get(module) def restore(ids: list[str]) -> None: # For each of the modules in ids, restore that id's old # manager.modules and graphs entries. (Except for the original # module, this means deleting them.) for id in ids: if id == orig_module and orig_tree: manager.modules[id] = orig_tree elif id in manager.modules: del manager.modules[id] if id == orig_module and orig_state: graph[id] = orig_state elif id in graph: del graph[id] new_modules: list[State] = [] try: if module in graph: del graph[module] load_graph(sources, manager, graph, new_modules) except CompileError as err: # Parse error somewhere in the program -- a blocker assert err.module_with_blocker restore([module] + [st.id for st in new_modules]) return BlockedUpdate(err.module_with_blocker, path, [], err.messages) # Reparsing the file may have brought in dependencies that we # didn't have before. Make sure that they are loaded to restore # the invariant that a module having a loaded tree implies that # its dependencies do as well. ensure_trees_loaded(manager, graph, graph[module].dependencies) # Find any other modules brought in by imports. changed_modules = [(st.id, st.xpath) for st in new_modules] for m in new_modules: manager.import_map[m.id] = set(m.dependencies + m.suppressed) # If there are multiple modules to process, only process one of them and return # the remaining ones to the caller. if len(changed_modules) > 1: # As an optimization, look for a module that imports no other changed modules. module, path = find_relative_leaf_module(changed_modules, graph) changed_modules.remove((module, path)) remaining_modules = changed_modules # The remaining modules haven't been processed yet so drop them. restore([id for id, _ in remaining_modules]) manager.log_fine_grained(f"--> {module!r} (newly imported)") else: remaining_modules = [] state = graph[module] # Process the changed file. state.parse_file() assert state.tree is not None, "file must be at least parsed" t0 = time.time() try: semantic_analysis_for_scc(graph, [state.id], manager.errors) except CompileError as err: # There was a blocking error, so module AST is incomplete. Restore old modules. restore([module]) return BlockedUpdate(module, path, remaining_modules, err.messages) # Merge old and new ASTs. new_modules_dict: dict[str, MypyFile | None] = {module: state.tree} replace_modules_with_new_variants(manager, graph, {orig_module: orig_tree}, new_modules_dict) t1 = time.time() # Perform type checking. state.type_checker().reset() state.type_check_first_pass() state.type_check_second_pass() state.detect_possibly_undefined_vars() state.generate_unused_ignore_notes() state.generate_ignore_without_code_notes() t2 = time.time() state.finish_passes() t3 = time.time() manager.add_stats(semanal_time=t1 - t0, typecheck_time=t2 - t1, finish_passes_time=t3 - t2) graph[module] = state return NormalUpdate(module, path, remaining_modules, state.tree) def find_relative_leaf_module(modules: list[tuple[str, str]], graph: Graph) -> tuple[str, str]: """Find a module in a list that directly imports no other module in the list. If no such module exists, return the lexicographically first module from the list. Always return one of the items in the modules list. NOTE: If both 'abc' and 'typing' have changed, an effect of the above rule is that we prefer 'abc', even if both are in the same SCC. This works around a false positive in 'typing', at least in tests. Args: modules: List of (module, path) tuples (non-empty) graph: Program import graph that contains all modules in the module list """ assert modules # Sort for repeatable results. modules = sorted(modules) module_set = {module for module, _ in modules} for module, path in modules: state = graph[module] if len(set(state.dependencies) & module_set) == 0: # Found it! return module, path # Could not find any. Just return the first module (by lexicographic order). return modules[0] def delete_module(module_id: str, path: str, graph: Graph, manager: BuildManager) -> None: manager.log_fine_grained(f"delete module {module_id!r}") # TODO: Remove deps for the module (this only affects memory use, not correctness) if module_id in graph: del graph[module_id] if module_id in manager.modules: del manager.modules[module_id] components = module_id.split(".") if len(components) > 1: # Delete reference to module in parent module. parent_id = ".".join(components[:-1]) # If parent module is ignored, it won't be included in the modules dictionary. if parent_id in manager.modules: parent = manager.modules[parent_id] if components[-1] in parent.names: del parent.names[components[-1]] # If the module is removed from the build but still exists, then # we mark it as missing so that it will get picked up by import from still. if manager.fscache.isfile(path): manager.missing_modules.add(module_id) def dedupe_modules(modules: list[tuple[str, str]]) -> list[tuple[str, str]]: seen: set[str] = set() result = [] for id, path in modules: if id not in seen: seen.add(id) result.append((id, path)) return result def get_module_to_path_map(graph: Graph) -> dict[str, str]: return {module: node.xpath for module, node in graph.items()} def get_sources( fscache: FileSystemCache, modules: dict[str, str], changed_modules: list[tuple[str, str]], followed: bool, ) -> list[BuildSource]: sources = [] for id, path in changed_modules: if fscache.isfile(path): sources.append(BuildSource(path, id, None, followed=followed)) return sources def calculate_active_triggers( manager: BuildManager, old_snapshots: dict[str, dict[str, SymbolSnapshot]], new_modules: dict[str, MypyFile | None], ) -> set[str]: """Determine activated triggers by comparing old and new symbol tables. For example, if only the signature of function m.f is different in the new symbol table, return {''}. """ names: set[str] = set() for id in new_modules: snapshot1 = old_snapshots.get(id) if snapshot1 is None: names.add(id) snapshot1 = {} new = new_modules[id] if new is None: snapshot2 = snapshot_symbol_table(id, SymbolTable()) names.add(id) else: snapshot2 = snapshot_symbol_table(id, new.names) diff = compare_symbol_table_snapshots(id, snapshot1, snapshot2) package_nesting_level = id.count(".") for item in diff.copy(): if item.count(".") <= package_nesting_level + 1 and item.split(".")[-1] not in ( "__builtins__", "__file__", "__name__", "__package__", "__doc__", ): # Activate catch-all wildcard trigger for top-level module changes (used for # "from m import *"). This also gets triggered by changes to module-private # entries, but as these unneeded dependencies only result in extra processing, # it's a minor problem. # # TODO: Some __* names cause mistriggers. Fix the underlying issue instead of # special casing them here. diff.add(id + WILDCARD_TAG) if item.count(".") > package_nesting_level + 1: # These are for changes within classes, used by protocols. diff.add(item.rsplit(".", 1)[0] + WILDCARD_TAG) names |= diff return {make_trigger(name) for name in names} def replace_modules_with_new_variants( manager: BuildManager, graph: dict[str, State], old_modules: dict[str, MypyFile | None], new_modules: dict[str, MypyFile | None], ) -> None: """Replace modules with newly builds versions. Retain the identities of externally visible AST nodes in the old ASTs so that references to the affected modules from other modules will still be valid (unless something was deleted or replaced with an incompatible definition, in which case there will be dangling references that will be handled by propagate_changes_using_dependencies). """ for id in new_modules: preserved_module = old_modules.get(id) new_module = new_modules[id] if preserved_module and new_module is not None: merge_asts(preserved_module, preserved_module.names, new_module, new_module.names) manager.modules[id] = preserved_module graph[id].tree = preserved_module def propagate_changes_using_dependencies( manager: BuildManager, graph: dict[str, State], deps: dict[str, set[str]], triggered: set[str], up_to_date_modules: set[str], targets_with_errors: set[str], processed_targets: list[str], ) -> list[tuple[str, str]]: """Transitively rechecks targets based on triggers and the dependency map. Returns a list (module id, path) tuples representing modules that contain a target that needs to be reprocessed but that has not been parsed yet. Processed targets should be appended to processed_targets (used in tests only, to test the order of processing targets). """ num_iter = 0 remaining_modules: list[tuple[str, str]] = [] # Propagate changes until nothing visible has changed during the last # iteration. while triggered or targets_with_errors: num_iter += 1 if num_iter > MAX_ITER: raise RuntimeError("Max number of iterations (%d) reached (endless loop?)" % MAX_ITER) todo, unloaded, stale_protos = find_targets_recursive( manager, graph, triggered, deps, up_to_date_modules ) # TODO: we sort to make it deterministic, but this is *incredibly* ad hoc remaining_modules.extend((id, graph[id].xpath) for id in sorted(unloaded)) # Also process targets that used to have errors, as otherwise some # errors might be lost. for target in targets_with_errors: id = module_prefix(graph, target) if id is not None and id not in up_to_date_modules: if id not in todo: todo[id] = set() manager.log_fine_grained(f"process target with error: {target}") more_nodes, _ = lookup_target(manager, target) todo[id].update(more_nodes) triggered = set() # First invalidate subtype caches in all stale protocols. # We need to do this to avoid false negatives if the protocol itself is # unchanged, but was marked stale because its sub- (or super-) type changed. for info in stale_protos: type_state.reset_subtype_caches_for(info) # Then fully reprocess all targets. # TODO: Preserve order (set is not optimal) for id, nodes in sorted(todo.items(), key=lambda x: x[0]): assert id not in up_to_date_modules triggered |= reprocess_nodes(manager, graph, id, nodes, deps, processed_targets) # Changes elsewhere may require us to reprocess modules that were # previously considered up to date. For example, there may be a # dependency loop that loops back to an originally processed module. up_to_date_modules = set() targets_with_errors = set() if is_verbose(manager): manager.log_fine_grained(f"triggered: {list(triggered)!r}") return remaining_modules def find_targets_recursive( manager: BuildManager, graph: Graph, triggers: set[str], deps: dict[str, set[str]], up_to_date_modules: set[str], ) -> tuple[dict[str, set[FineGrainedDeferredNode]], set[str], set[TypeInfo]]: """Find names of all targets that need to reprocessed, given some triggers. Returns: A tuple containing a: * Dictionary from module id to a set of stale targets. * A set of module ids for unparsed modules with stale targets. """ result: dict[str, set[FineGrainedDeferredNode]] = {} worklist = triggers processed: set[str] = set() stale_protos: set[TypeInfo] = set() unloaded_files: set[str] = set() # Find AST nodes corresponding to each target. # # TODO: Don't rely on a set, since the items are in an unpredictable order. while worklist: processed |= worklist current = worklist worklist = set() for target in current: if target.startswith("<"): module_id = module_prefix(graph, trigger_to_target(target)) if module_id: ensure_deps_loaded(module_id, deps, graph) worklist |= deps.get(target, set()) - processed else: module_id = module_prefix(graph, target) if module_id is None: # Deleted module. continue if module_id in up_to_date_modules: # Already processed. continue if ( module_id not in manager.modules or manager.modules[module_id].is_cache_skeleton ): # We haven't actually parsed and checked the module, so we don't have # access to the actual nodes. # Add it to the queue of files that need to be processed fully. unloaded_files.add(module_id) continue if module_id not in result: result[module_id] = set() manager.log_fine_grained(f"process: {target}") deferred, stale_proto = lookup_target(manager, target) if stale_proto: stale_protos.add(stale_proto) result[module_id].update(deferred) return result, unloaded_files, stale_protos def reprocess_nodes( manager: BuildManager, graph: dict[str, State], module_id: str, nodeset: set[FineGrainedDeferredNode], deps: dict[str, set[str]], processed_targets: list[str], ) -> set[str]: """Reprocess a set of nodes within a single module. Return fired triggers. """ if module_id not in graph: manager.log_fine_grained("%s not in graph (blocking errors or deleted?)" % module_id) return set() file_node = manager.modules[module_id] old_symbols = find_symbol_tables_recursive(file_node.fullname, file_node.names) old_symbols = {name: names.copy() for name, names in old_symbols.items()} old_symbols_snapshot = snapshot_symbol_table(file_node.fullname, file_node.names) def key(node: FineGrainedDeferredNode) -> int: # Unlike modules which are sorted by name within SCC, # nodes within the same module are sorted by line number, because # this is how they are processed in normal mode. return node.node.line nodes = sorted(nodeset, key=key) state = graph[module_id] options = state.options manager.errors.set_file_ignored_lines( file_node.path, file_node.ignored_lines, options.ignore_errors or state.ignore_all ) manager.errors.set_skipped_lines(file_node.path, file_node.skipped_lines) targets = set() for node in nodes: target = target_from_node(module_id, node.node) if target is not None: targets.add(target) manager.errors.clear_errors_in_targets(file_node.path, targets) # If one of the nodes is the module itself, emit any errors that # happened before semantic analysis. for target in targets: if target == module_id: for info in graph[module_id].early_errors: manager.errors.add_error_info(info) # Strip semantic analysis information. saved_attrs: SavedAttributes = {} for deferred in nodes: processed_targets.append(deferred.node.fullname) strip_target(deferred.node, saved_attrs) semantic_analysis_for_targets(graph[module_id], nodes, graph, saved_attrs) # Merge symbol tables to preserve identities of AST nodes. The file node will remain # the same, but other nodes may have been recreated with different identities, such as # NamedTuples defined using assignment statements. new_symbols = find_symbol_tables_recursive(file_node.fullname, file_node.names) for name in old_symbols: if name in new_symbols: merge_asts(file_node, old_symbols[name], file_node, new_symbols[name]) # Type check. checker = graph[module_id].type_checker() checker.reset() # We seem to need additional passes in fine-grained incremental mode. checker.pass_num = 0 checker.last_pass = 3 # It is tricky to reliably invalidate constructor cache in fine-grained increments. # See PR 19514 description for details. more = checker.check_second_pass(nodes, allow_constructor_cache=False) while more: more = False if graph[module_id].type_checker().check_second_pass(allow_constructor_cache=False): more = True if manager.options.export_types: manager.all_types.update(graph[module_id].type_map()) new_symbols_snapshot = snapshot_symbol_table(file_node.fullname, file_node.names) # Check if any attribute types were changed and need to be propagated further. changed = compare_symbol_table_snapshots( file_node.fullname, old_symbols_snapshot, new_symbols_snapshot ) new_triggered = {make_trigger(name) for name in changed} # Dependencies may have changed. update_deps(module_id, nodes, graph, deps, options) # Report missing imports. graph[module_id].verify_dependencies() graph[module_id].free_state() return new_triggered def find_symbol_tables_recursive(prefix: str, symbols: SymbolTable) -> dict[str, SymbolTable]: """Find all nested symbol tables. Args: prefix: Full name prefix (used for return value keys and to filter result so that cross references to other modules aren't included) symbols: Root symbol table Returns a dictionary from full name to corresponding symbol table. """ result = {prefix: symbols} for name, node in symbols.items(): if isinstance(node.node, TypeInfo) and node.node.fullname.startswith(prefix + "."): more = find_symbol_tables_recursive(prefix + "." + name, node.node.names) result.update(more) return result def update_deps( module_id: str, nodes: list[FineGrainedDeferredNode], graph: dict[str, State], deps: dict[str, set[str]], options: Options, ) -> None: for deferred in nodes: node = deferred.node type_map = graph[module_id].type_map() tree = graph[module_id].tree assert tree is not None, "Tree must be processed at this stage" new_deps = get_dependencies_of_target( module_id, tree, node, type_map, options.python_version ) for trigger, targets in new_deps.items(): deps.setdefault(trigger, set()).update(targets) # Merge also the newly added protocol deps (if any). type_state.update_protocol_deps(deps) def lookup_target( manager: BuildManager, target: str ) -> tuple[list[FineGrainedDeferredNode], TypeInfo | None]: """Look up a target by fully-qualified name. The first item in the return tuple is a list of deferred nodes that needs to be reprocessed. If the target represents a TypeInfo corresponding to a protocol, return it as a second item in the return tuple, otherwise None. """ def not_found() -> None: manager.log_fine_grained(f"Can't find matching target for {target} (stale dependency?)") modules = manager.modules items = split_target(modules, target) if items is None: not_found() # Stale dependency return [], None module, rest = items if rest: components = rest.split(".") else: components = [] node: SymbolNode | None = modules[module] file: MypyFile | None = None active_class = None for c in components: if isinstance(node, TypeInfo): active_class = node if isinstance(node, MypyFile): file = node if not isinstance(node, (MypyFile, TypeInfo)) or c not in node.names: not_found() # Stale dependency return [], None # Don't reprocess plugin generated targets. They should get # stripped and regenerated when the containing target is # reprocessed. if node.names[c].plugin_generated: return [], None node = node.names[c].node if isinstance(node, TypeInfo): # A ClassDef target covers the body of the class and everything defined # within it. To get the body we include the entire surrounding target, # typically a module top-level, since we don't support processing class # bodies as separate entities for simplicity. assert file is not None if node.fullname != target: # This is a reference to a different TypeInfo, likely due to a stale dependency. # Processing them would spell trouble -- for example, we could be refreshing # a deserialized TypeInfo with missing attributes. not_found() return [], None result = [FineGrainedDeferredNode(file, None)] stale_info: TypeInfo | None = None if node.is_protocol: stale_info = node for name, symnode in node.names.items(): node = symnode.node if isinstance(node, FuncDef): method, _ = lookup_target(manager, target + "." + name) result.extend(method) return result, stale_info if isinstance(node, Decorator): # Decorator targets actually refer to the function definition only. node = node.func if not isinstance(node, (FuncDef, MypyFile, OverloadedFuncDef)): # The target can't be refreshed. It's possible that the target was # changed to another type and we have a stale dependency pointing to it. not_found() return [], None if node.fullname != target: # Stale reference points to something unexpected. We shouldn't process since the # context will be wrong and it could be a partially initialized deserialized node. not_found() return [], None return [FineGrainedDeferredNode(node, active_class)], None def is_verbose(manager: BuildManager) -> bool: return manager.options.verbosity >= 1 or DEBUG_FINE_GRAINED def target_from_node(module: str, node: FuncDef | MypyFile | OverloadedFuncDef) -> str | None: """Return the target name corresponding to a deferred node. Args: module: Must be module id of the module that defines 'node' Returns the target name, or None if the node is not a valid target in the given module (for example, if it's actually defined in another module). """ if isinstance(node, MypyFile): if module != node.fullname: # Actually a reference to another module -- likely a stale dependency. return None return module else: # OverloadedFuncDef or FuncDef if node.info: return f"{node.info.fullname}.{node.name}" else: return f"{module}.{node.name}" if sys.platform != "win32": INIT_SUFFIXES: Final = ("/__init__.py", "/__init__.pyi") else: INIT_SUFFIXES: Final = ( os.sep + "__init__.py", os.sep + "__init__.pyi", os.altsep + "__init__.py", os.altsep + "__init__.pyi", ) def refresh_suppressed_submodules( module: str, path: str | None, deps: dict[str, set[str]], graph: Graph, fscache: FileSystemCache, refresh_file: Callable[[str, str], list[str]], ) -> list[str] | None: """Look for submodules that are now suppressed in target package. If a submodule a.b gets added, we need to mark it as suppressed in modules that contain "from a import b". Previously we assumed that 'a.b' is not a module but a regular name. This is only relevant when following imports normally. Args: module: target package in which to look for submodules path: path of the module refresh_file: function that reads the AST of a module (returns error messages) Return a list of errors from refresh_file() if it was called. If the return value is None, we didn't call refresh_file(). """ messages = None if path is None or not path.endswith(INIT_SUFFIXES): # Only packages have submodules. return None # Find any submodules present in the directory. pkgdir = os.path.dirname(path) try: entries = fscache.listdir(pkgdir) except FileNotFoundError: entries = [] for fnam in entries: if ( not fnam.endswith((".py", ".pyi")) or fnam.startswith("__init__.") or fnam.count(".") != 1 ): continue shortname = fnam.split(".")[0] submodule = module + "." + shortname trigger = make_trigger(submodule) # We may be missing the required fine-grained deps. ensure_deps_loaded(module, deps, graph) if trigger in deps: for dep in deps[trigger]: # We can ignore <...> deps since a submodule can't trigger any. state = graph.get(dep) if not state: # Maybe it's a non-top-level target. We only care about the module. dep_module = module_prefix(graph, dep) if dep_module is not None: state = graph.get(dep_module) if state: # Is the file may missing an AST in case it's read from cache? if state.tree is None: # Create AST for the file. This may produce some new errors # that we need to propagate. assert state.path is not None messages = refresh_file(state.id, state.path) tree = state.tree assert tree # Will be fine, due to refresh_file() above for imp in tree.imports: if isinstance(imp, ImportFrom): if ( imp.id == module and any(name == shortname for name, _ in imp.names) and submodule not in state.suppressed_set ): state.suppressed.append(submodule) state.suppressed_set.add(submodule) return messages def extract_fnam_from_message(message: str) -> str | None: m = re.match(r"([^:]+):[0-9]+: (error|note): ", message) if m: return m.group(1) return None def extract_possible_fnam_from_message(message: str) -> str: # This may return non-path things if there is some random colon on the line return message.split(":", 1)[0] def sort_messages_preserving_file_order( messages: list[str], prev_messages: list[str] ) -> list[str]: """Sort messages so that the order of files is preserved. An update generates messages so that the files can be in a fairly arbitrary order. Preserve the order of files to avoid messages getting reshuffled continuously. If there are messages in additional files, sort them towards the end. """ # Calculate file order from the previous messages n = 0 order = {} for msg in prev_messages: fnam = extract_fnam_from_message(msg) if fnam and fnam not in order: order[fnam] = n n += 1 # Related messages must be sorted as a group of successive lines groups = [] i = 0 while i < len(messages): msg = messages[i] maybe_fnam = extract_possible_fnam_from_message(msg) group = [msg] if maybe_fnam in order: # This looks like a file name. Collect all lines related to this message. while ( i + 1 < len(messages) and extract_possible_fnam_from_message(messages[i + 1]) not in order and extract_fnam_from_message(messages[i + 1]) is None and not messages[i + 1].startswith("mypy: ") ): i += 1 group.append(messages[i]) groups.append((order.get(maybe_fnam, n), group)) i += 1 groups = sorted(groups, key=lambda g: g[0]) result = [] for key, group in groups: result.extend(group) return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/sharedparse.py0000644000175100017510000000414215112307767016131 0ustar00runnerrunnerfrom __future__ import annotations from typing import Final """Shared logic between our three mypy parser files.""" _NON_BINARY_MAGIC_METHODS: Final = { "__abs__", "__call__", "__complex__", "__contains__", "__buffer__", "__del__", "__delattr__", "__delitem__", "__enter__", "__exit__", "__float__", "__getattr__", "__getattribute__", "__getitem__", "__hex__", "__init__", "__init_subclass__", "__int__", "__invert__", "__iter__", "__len__", "__long__", "__neg__", "__new__", "__oct__", "__pos__", "__release_buffer__", "__repr__", "__reversed__", "__setattr__", "__setitem__", "__str__", } MAGIC_METHODS_ALLOWING_KWARGS: Final = { "__init__", "__init_subclass__", "__new__", "__call__", "__setattr__", } BINARY_MAGIC_METHODS: Final = { "__add__", "__and__", "__divmod__", "__eq__", "__floordiv__", "__ge__", "__gt__", "__iadd__", "__iand__", "__idiv__", "__ifloordiv__", "__ilshift__", "__imatmul__", "__imod__", "__imul__", "__ior__", "__ipow__", "__irshift__", "__isub__", "__itruediv__", "__ixor__", "__le__", "__lshift__", "__lt__", "__matmul__", "__mod__", "__mul__", "__ne__", "__or__", "__pow__", "__radd__", "__rand__", "__rdiv__", "__rfloordiv__", "__rlshift__", "__rmatmul__", "__rmod__", "__rmul__", "__ror__", "__rpow__", "__rrshift__", "__rshift__", "__rsub__", "__rtruediv__", "__rxor__", "__sub__", "__truediv__", "__xor__", } assert not (_NON_BINARY_MAGIC_METHODS & BINARY_MAGIC_METHODS) MAGIC_METHODS: Final = _NON_BINARY_MAGIC_METHODS | BINARY_MAGIC_METHODS MAGIC_METHODS_POS_ARGS_ONLY: Final = MAGIC_METHODS - MAGIC_METHODS_ALLOWING_KWARGS def special_function_elide_names(name: str) -> bool: return name in MAGIC_METHODS_POS_ARGS_ONLY def argument_elide_name(name: str | None) -> bool: return name is not None and name.startswith("__") and not name.endswith("__") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/solve.py0000644000175100017510000005773515112307767015000 0ustar00runnerrunner"""Type inference constraint solving""" from __future__ import annotations from collections import defaultdict from collections.abc import Iterable, Sequence from typing_extensions import TypeAlias as _TypeAlias from mypy.constraints import SUBTYPE_OF, SUPERTYPE_OF, Constraint, infer_constraints, neg_op from mypy.expandtype import expand_type from mypy.graph_utils import prepare_sccs, strongly_connected_components, topsort from mypy.join import join_type_list from mypy.meet import meet_type_list, meet_types from mypy.subtypes import is_subtype from mypy.typeops import get_all_type_vars from mypy.types import ( AnyType, Instance, NoneType, ParamSpecType, ProperType, TupleType, Type, TypeOfAny, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, UninhabitedType, UnionType, UnpackType, get_proper_type, ) from mypy.typestate import type_state Bounds: _TypeAlias = "dict[TypeVarId, set[Type]]" Graph: _TypeAlias = "set[tuple[TypeVarId, TypeVarId]]" Solutions: _TypeAlias = "dict[TypeVarId, Type | None]" def solve_constraints( original_vars: Sequence[TypeVarLikeType], constraints: list[Constraint], strict: bool = True, allow_polymorphic: bool = False, skip_unsatisfied: bool = False, ) -> tuple[list[Type | None], list[TypeVarLikeType]]: """Solve type constraints. Return the best type(s) for type variables; each type can be None if the value of the variable could not be solved. If a variable has no constraints, if strict=True then arbitrarily pick UninhabitedType as the value of the type variable. If strict=False, pick AnyType. If allow_polymorphic=True, then use the full algorithm that can potentially return free type variables in solutions (these require special care when applying). Otherwise, use a simplified algorithm that just solves each type variable individually if possible. The skip_unsatisfied flag matches the same one in applytype.apply_generic_arguments(). """ vars = [tv.id for tv in original_vars] if not vars: return [], [] originals = {tv.id: tv for tv in original_vars} extra_vars: list[TypeVarId] = [] # Get additional type variables from generic actuals. for c in constraints: extra_vars.extend([v.id for v in c.extra_tvars if v.id not in vars + extra_vars]) originals.update({v.id: v for v in c.extra_tvars if v.id not in originals}) if allow_polymorphic: # Constraints inferred from unions require special handling in polymorphic inference. constraints = skip_reverse_union_constraints(constraints) # Collect a list of constraints for each type variable. cmap: dict[TypeVarId, list[Constraint]] = {tv: [] for tv in vars + extra_vars} for con in constraints: if con.type_var in vars + extra_vars: cmap[con.type_var].append(con) if allow_polymorphic: if constraints: solutions, free_vars = solve_with_dependent( vars + extra_vars, constraints, vars, originals ) else: solutions = {} free_vars = [] else: solutions = {} free_vars = [] for tv, cs in cmap.items(): if not cs: continue lowers = [c.target for c in cs if c.op == SUPERTYPE_OF] uppers = [c.target for c in cs if c.op == SUBTYPE_OF] solution = solve_one(lowers, uppers) # Do not leak type variables in non-polymorphic solutions. if solution is None or not get_vars( solution, [tv for tv in extra_vars if tv not in vars] ): solutions[tv] = solution res: list[Type | None] = [] for v in vars: if v in solutions: res.append(solutions[v]) else: # No constraints for type variable -- 'UninhabitedType' is the most specific type. candidate: Type if strict: candidate = UninhabitedType() candidate.ambiguous = True else: candidate = AnyType(TypeOfAny.special_form) res.append(candidate) if not free_vars and not skip_unsatisfied: # Most of the validation for solutions is done in applytype.py, but here we can # quickly test solutions w.r.t. to upper bounds, and use the latter (if possible), # if solutions are actually not valid (due to poor inference context). res = pre_validate_solutions(res, original_vars, constraints) return res, free_vars def solve_with_dependent( vars: list[TypeVarId], constraints: list[Constraint], original_vars: list[TypeVarId], originals: dict[TypeVarId, TypeVarLikeType], ) -> tuple[Solutions, list[TypeVarLikeType]]: """Solve set of constraints that may depend on each other, like T <: List[S]. The whole algorithm consists of five steps: * Propagate via linear constraints and use secondary constraints to get transitive closure * Find dependencies between type variables, group them in SCCs, and sort topologically * Check that all SCC are intrinsically linear, we can't solve (express) T <: List[T] * Variables in leaf SCCs that don't have constant bounds are free (choose one per SCC) * Solve constraints iteratively starting from leaves, updating bounds after each step. """ graph, lowers, uppers = transitive_closure(vars, constraints) dmap = compute_dependencies(vars, graph, lowers, uppers) sccs = list(strongly_connected_components(set(vars), dmap)) if not all(check_linear(scc, lowers, uppers) for scc in sccs): return {}, [] raw_batches = list(topsort(prepare_sccs(sccs, dmap))) free_vars = [] free_solutions = {} for scc in raw_batches[0]: # If there are no bounds on this SCC, then the only meaningful solution we can # express, is that each variable is equal to a new free variable. For example, # if we have T <: S, S <: U, we deduce: T = S = U = . if all(not lowers[tv] and not uppers[tv] for tv in scc): best_free = choose_free([originals[tv] for tv in scc], original_vars) if best_free: # TODO: failing to choose may cause leaking type variables, # we need to fail gracefully instead. free_vars.append(best_free.id) free_solutions[best_free.id] = best_free # Update lowers/uppers with free vars, so these can now be used # as valid solutions. for l, u in graph: if l in free_vars: lowers[u].add(free_solutions[l]) if u in free_vars: uppers[l].add(free_solutions[u]) # Flatten the SCCs that are independent, we can solve them together, # since we don't need to update any targets in between. batches = [] for batch in raw_batches: next_bc = [] for scc in batch: next_bc.extend(list(scc)) batches.append(next_bc) solutions: dict[TypeVarId, Type | None] = {} for flat_batch in batches: res = solve_iteratively(flat_batch, graph, lowers, uppers) solutions.update(res) return solutions, [free_solutions[tv] for tv in free_vars] def solve_iteratively( batch: list[TypeVarId], graph: Graph, lowers: Bounds, uppers: Bounds ) -> Solutions: """Solve transitive closure sequentially, updating upper/lower bounds after each step. Transitive closure is represented as a linear graph plus lower/upper bounds for each type variable, see transitive_closure() docstring for details. We solve for type variables that appear in `batch`. If a bound is not constant (i.e. it looks like T :> F[S, ...]), we substitute solutions found so far in the target F[S, ...] after solving the batch. Importantly, after solving each variable in a batch, we move it from linear graph to upper/lower bounds, this way we can guarantee consistency of solutions (see comment below for an example when this is important). """ solutions = {} s_batch = set(batch) while s_batch: for tv in sorted(s_batch, key=lambda x: x.raw_id): if lowers[tv] or uppers[tv]: solvable_tv = tv break else: break # Solve each solvable type variable separately. s_batch.remove(solvable_tv) result = solve_one(lowers[solvable_tv], uppers[solvable_tv]) solutions[solvable_tv] = result if result is None: # TODO: support backtracking lower/upper bound choices and order within SCCs. # (will require switching this function from iterative to recursive). continue # Update the (transitive) bounds from graph if there is a solution. # This is needed to guarantee solutions will never contradict the initial # constraints. For example, consider {T <: S, T <: A, S :> B} with A :> B. # If we would not update the uppers/lowers from graph, we would infer T = A, S = B # which is not correct. for l, u in graph.copy(): if l == u: continue if l == solvable_tv: lowers[u].add(result) graph.remove((l, u)) if u == solvable_tv: uppers[l].add(result) graph.remove((l, u)) # We can update uppers/lowers only once after solving the whole SCC, # since uppers/lowers can't depend on type variables in the SCC # (and we would reject such SCC as non-linear and therefore not solvable). subs = {tv: s for (tv, s) in solutions.items() if s is not None} for tv in lowers: lowers[tv] = {expand_type(lt, subs) for lt in lowers[tv]} for tv in uppers: uppers[tv] = {expand_type(ut, subs) for ut in uppers[tv]} return solutions def _join_sorted_key(t: Type) -> int: t = get_proper_type(t) if isinstance(t, UnionType): return -2 if isinstance(t, NoneType): return -1 return 0 def solve_one(lowers: Iterable[Type], uppers: Iterable[Type]) -> Type | None: """Solve constraints by finding by using meets of upper bounds, and joins of lower bounds.""" candidate: Type | None = None # Filter out previous results of failed inference, they will only spoil the current pass... new_uppers = [] for u in uppers: pu = get_proper_type(u) if not isinstance(pu, UninhabitedType) or not pu.ambiguous: new_uppers.append(u) uppers = new_uppers # ...unless this is the only information we have, then we just pass it on. lowers = list(lowers) if not uppers and not lowers: candidate = UninhabitedType() candidate.ambiguous = True return candidate bottom: Type | None = None top: Type | None = None # Process each bound separately, and calculate the lower and upper # bounds based on constraints. Note that we assume that the constraint # targets do not have constraint references. if type_state.infer_unions and lowers: # This deviates from the general mypy semantics because # recursive types are union-heavy in 95% of cases. # Retain `None` when no bottoms were provided to avoid bogus `Never` inference. bottom = UnionType.make_union(lowers) else: # The order of lowers is non-deterministic. # We attempt to sort lowers because joins are non-associative. For instance: # join(join(int, str), int | str) == join(object, int | str) == object # join(int, join(str, int | str)) == join(int, int | str) == int | str # Note that joins in theory should be commutative, but in practice some bugs mean this is # also a source of non-deterministic type checking results. sorted_lowers = sorted(lowers, key=_join_sorted_key) if sorted_lowers: bottom = join_type_list(sorted_lowers) for target in uppers: if top is None: top = target else: top = meet_types(top, target) p_top = get_proper_type(top) p_bottom = get_proper_type(bottom) if isinstance(p_top, AnyType) or isinstance(p_bottom, AnyType): source_any = top if isinstance(p_top, AnyType) else bottom assert isinstance(source_any, ProperType) and isinstance(source_any, AnyType) return AnyType(TypeOfAny.from_another_any, source_any=source_any) elif bottom is None: if top: candidate = top else: # No constraints for type variable return None elif top is None: candidate = bottom elif is_subtype(bottom, top): candidate = bottom else: candidate = None return candidate def choose_free( scc: list[TypeVarLikeType], original_vars: list[TypeVarId] ) -> TypeVarLikeType | None: """Choose the best solution for an SCC containing only type variables. This is needed to preserve e.g. the upper bound in a situation like this: def dec(f: Callable[[T], S]) -> Callable[[T], S]: ... @dec def test(x: U) -> U: ... where U <: A. """ if len(scc) == 1: # Fast path, choice is trivial. return scc[0] common_upper_bound = meet_type_list([t.upper_bound for t in scc]) common_upper_bound_p = get_proper_type(common_upper_bound) # We include None for when strict-optional is disabled. if isinstance(common_upper_bound_p, (UninhabitedType, NoneType)): # This will cause to infer Never, which is better than a free TypeVar # that has an upper bound Never. return None values: list[Type] = [] for tv in scc: if isinstance(tv, TypeVarType) and tv.values: if values: # It is too tricky to support multiple TypeVars with values # within the same SCC. return None values = tv.values.copy() if values and not is_trivial_bound(common_upper_bound_p): # If there are both values and upper bound present, we give up, # since type variables having both are not supported. return None # For convenience with current type application machinery, we use a stable # choice that prefers the original type variables (not polymorphic ones) in SCC. best = min(scc, key=lambda x: (x.id not in original_vars, x.id.raw_id)) if isinstance(best, TypeVarType): return best.copy_modified(values=values, upper_bound=common_upper_bound) if is_trivial_bound(common_upper_bound_p, allow_tuple=True): # TODO: support more cases for ParamSpecs/TypeVarTuples return best return None def is_trivial_bound(tp: ProperType, allow_tuple: bool = False) -> bool: if isinstance(tp, Instance) and tp.type.fullname == "builtins.tuple": return allow_tuple and is_trivial_bound(get_proper_type(tp.args[0])) return isinstance(tp, Instance) and tp.type.fullname == "builtins.object" def find_linear(c: Constraint) -> tuple[bool, TypeVarId | None]: """Find out if this constraint represent a linear relationship, return target id if yes.""" if isinstance(c.origin_type_var, TypeVarType): if isinstance(c.target, TypeVarType): return True, c.target.id if isinstance(c.origin_type_var, ParamSpecType): if isinstance(c.target, ParamSpecType) and not c.target.prefix.arg_types: return True, c.target.id if isinstance(c.origin_type_var, TypeVarTupleType): target = get_proper_type(c.target) if isinstance(target, TupleType) and len(target.items) == 1: item = target.items[0] if isinstance(item, UnpackType) and isinstance(item.type, TypeVarTupleType): return True, item.type.id return False, None def transitive_closure( tvars: list[TypeVarId], constraints: list[Constraint] ) -> tuple[Graph, Bounds, Bounds]: """Find transitive closure for given constraints on type variables. Transitive closure gives maximal set of lower/upper bounds for each type variable, such that we cannot deduce any further bounds by chaining other existing bounds. The transitive closure is represented by: * A set of lower and upper bounds for each type variable, where only constant and non-linear terms are included in the bounds. * A graph of linear constraints between type variables (represented as a set of pairs) Such separation simplifies reasoning, and allows an efficient and simple incremental transitive closure algorithm that we use here. For example if we have initial constraints [T <: S, S <: U, U <: int], the transitive closure is given by: * {} <: T <: {int} * {} <: S <: {int} * {} <: U <: {int} * {T <: S, S <: U, T <: U} """ uppers: Bounds = defaultdict(set) lowers: Bounds = defaultdict(set) graph: Graph = {(tv, tv) for tv in tvars} remaining = set(constraints) while remaining: c = remaining.pop() # Note that ParamSpec constraint P <: Q may be considered linear only if Q has no prefix, # for cases like P <: Concatenate[T, Q] we should consider this non-linear and put {P} and # {T, Q} into separate SCCs. Similarly, Ts <: Tuple[*Us] considered linear, while # Ts <: Tuple[*Us, U] is non-linear. is_linear, target_id = find_linear(c) if is_linear and target_id in tvars: assert target_id is not None if c.op == SUBTYPE_OF: lower, upper = c.type_var, target_id else: lower, upper = target_id, c.type_var if (lower, upper) in graph: continue graph |= { (l, u) for l in tvars for u in tvars if (l, lower) in graph and (upper, u) in graph } for u in tvars: if (upper, u) in graph: lowers[u] |= lowers[lower] for l in tvars: if (l, lower) in graph: uppers[l] |= uppers[upper] for lt in lowers[lower]: for ut in uppers[upper]: add_secondary_constraints(remaining, lt, ut) elif c.op == SUBTYPE_OF: if c.target in uppers[c.type_var]: continue for l in tvars: if (l, c.type_var) in graph: uppers[l].add(c.target) for lt in lowers[c.type_var]: add_secondary_constraints(remaining, lt, c.target) else: assert c.op == SUPERTYPE_OF if c.target in lowers[c.type_var]: continue for u in tvars: if (c.type_var, u) in graph: lowers[u].add(c.target) for ut in uppers[c.type_var]: add_secondary_constraints(remaining, c.target, ut) return graph, lowers, uppers def add_secondary_constraints(cs: set[Constraint], lower: Type, upper: Type) -> None: """Add secondary constraints inferred between lower and upper (in place).""" if isinstance(get_proper_type(upper), UnionType) and isinstance( get_proper_type(lower), UnionType ): # When both types are unions, this can lead to inferring spurious constraints, # for example Union[T, int] <: S <: Union[T, int] may infer T <: int. # To avoid this, just skip them for now. return # TODO: what if secondary constraints result in inference against polymorphic actual? cs.update(set(infer_constraints(lower, upper, SUBTYPE_OF))) cs.update(set(infer_constraints(upper, lower, SUPERTYPE_OF))) def compute_dependencies( tvars: list[TypeVarId], graph: Graph, lowers: Bounds, uppers: Bounds ) -> dict[TypeVarId, list[TypeVarId]]: """Compute dependencies between type variables induced by constraints. If we have a constraint like T <: List[S], we say that T depends on S, since we will need to solve for S first before we can solve for T. """ res = {} for tv in tvars: deps = set() for lt in lowers[tv]: deps |= get_vars(lt, tvars) for ut in uppers[tv]: deps |= get_vars(ut, tvars) for other in tvars: if other == tv: continue if (tv, other) in graph or (other, tv) in graph: deps.add(other) res[tv] = list(deps) return res def check_linear(scc: set[TypeVarId], lowers: Bounds, uppers: Bounds) -> bool: """Check there are only linear constraints between type variables in SCC. Linear are constraints like T <: S (while T <: F[S] are non-linear). """ for tv in scc: if any(get_vars(lt, list(scc)) for lt in lowers[tv]): return False if any(get_vars(ut, list(scc)) for ut in uppers[tv]): return False return True def skip_reverse_union_constraints(cs: list[Constraint]) -> list[Constraint]: """Avoid ambiguities for constraints inferred from unions during polymorphic inference. Polymorphic inference implicitly relies on assumption that a reverse of a linear constraint is a linear constraint. This is however not true in presence of union types, for example T :> Union[S, int] vs S <: T. Trying to solve such constraints would be detected ambiguous as (T, S) form a non-linear SCC. However, simply removing the linear part results in a valid solution T = Union[S, int], S = . A similar scenario is when we get T <: Union[T, int], such constraints carry no information, and will equally confuse linearity check. TODO: a cleaner solution may be to avoid inferring such constraints in first place, but this would require passing around a flag through all infer_constraints() calls. """ reverse_union_cs = set() for c in cs: p_target = get_proper_type(c.target) if isinstance(p_target, UnionType): for item in p_target.items: if isinstance(item, TypeVarType): if item == c.origin_type_var and c.op == SUBTYPE_OF: reverse_union_cs.add(c) continue # These two forms are semantically identical, but are different from # the point of view of Constraint.__eq__(). reverse_union_cs.add(Constraint(item, neg_op(c.op), c.origin_type_var)) reverse_union_cs.add(Constraint(c.origin_type_var, c.op, item)) return [c for c in cs if c not in reverse_union_cs] def get_vars(target: Type, vars: list[TypeVarId]) -> set[TypeVarId]: """Find type variables for which we are solving in a target type.""" return {tv.id for tv in get_all_type_vars(target)} & set(vars) def pre_validate_solutions( solutions: list[Type | None], original_vars: Sequence[TypeVarLikeType], constraints: list[Constraint], ) -> list[Type | None]: """Check is each solution satisfies the upper bound of the corresponding type variable. If it doesn't satisfy the bound, check if bound itself satisfies all constraints, and if yes, use it instead as a fallback solution. """ new_solutions: list[Type | None] = [] for t, s in zip(original_vars, solutions): if is_callable_protocol(t.upper_bound): # This is really ad-hoc, but a proper fix would be much more complex, # and otherwise this may cause crash in a relatively common scenario. new_solutions.append(s) continue if s is not None and not is_subtype(s, t.upper_bound): bound_satisfies_all = True for c in constraints: if c.op == SUBTYPE_OF and not is_subtype(t.upper_bound, c.target): bound_satisfies_all = False break if c.op == SUPERTYPE_OF and not is_subtype(c.target, t.upper_bound): bound_satisfies_all = False break if bound_satisfies_all: new_solutions.append(t.upper_bound) continue new_solutions.append(s) return new_solutions def is_callable_protocol(t: Type) -> bool: proper_t = get_proper_type(t) if isinstance(proper_t, Instance) and proper_t.type.is_protocol: return "__call__" in proper_t.type.protocol_members return False ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/split_namespace.py0000644000175100017510000000241115112307767016774 0ustar00runnerrunner"""Split namespace for argparse to allow separating options by prefix. We use this to direct some options to an Options object and some to a regular namespace. """ # In its own file largely because mypyc doesn't support its use of # __getattr__/__setattr__ and has some issues with __dict__ from __future__ import annotations import argparse from typing import Any class SplitNamespace(argparse.Namespace): def __init__(self, standard_namespace: object, alt_namespace: object, alt_prefix: str) -> None: self.__dict__["_standard_namespace"] = standard_namespace self.__dict__["_alt_namespace"] = alt_namespace self.__dict__["_alt_prefix"] = alt_prefix def _get(self) -> tuple[Any, Any]: return (self._standard_namespace, self._alt_namespace) def __setattr__(self, name: str, value: Any) -> None: if name.startswith(self._alt_prefix): setattr(self._alt_namespace, name[len(self._alt_prefix) :], value) else: setattr(self._standard_namespace, name, value) def __getattr__(self, name: str) -> Any: if name.startswith(self._alt_prefix): return getattr(self._alt_namespace, name[len(self._alt_prefix) :]) else: return getattr(self._standard_namespace, name) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/state.py0000644000175100017510000000152215112307767014747 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterator from contextlib import contextmanager from typing import Final # These are global mutable state. Don't add anything here unless there's a very # good reason. class StrictOptionalState: # Wrap this in a class since it's faster that using a module-level attribute. def __init__(self, strict_optional: bool) -> None: # Value varies by file being processed self.strict_optional = strict_optional @contextmanager def strict_optional_set(self, value: bool) -> Iterator[None]: saved = self.strict_optional self.strict_optional = value try: yield finally: self.strict_optional = saved state: Final = StrictOptionalState(strict_optional=True) find_occurrences: tuple[str, str] | None = None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/stats.py0000644000175100017510000004071615112307767014775 0ustar00runnerrunner"""Utilities for calculating and reporting statistics about types.""" from __future__ import annotations import os from collections import Counter from collections.abc import Iterator from contextlib import contextmanager from typing import Final from mypy import nodes from mypy.argmap import map_formals_to_actuals from mypy.nodes import ( AssignmentExpr, AssignmentStmt, BreakStmt, BytesExpr, CallExpr, ClassDef, ComparisonExpr, ComplexExpr, ContinueStmt, EllipsisExpr, Expression, ExpressionStmt, FloatExpr, FuncDef, Import, ImportAll, ImportFrom, IndexExpr, IntExpr, MemberExpr, MypyFile, NameExpr, Node, OpExpr, PassStmt, RefExpr, StrExpr, TypeApplication, UnaryExpr, YieldFromExpr, ) from mypy.traverser import TraverserVisitor from mypy.type_visitor import ANY_STRATEGY, BoolTypeQuery from mypy.typeanal import collect_all_inner_types from mypy.types import ( AnyType, CallableType, FunctionLike, Instance, TupleType, Type, TypeOfAny, TypeVarType, get_proper_type, get_proper_types, ) from mypy.util import correct_relative_import TYPE_EMPTY: Final = 0 TYPE_UNANALYZED: Final = 1 # type of non-typechecked code TYPE_PRECISE: Final = 2 TYPE_IMPRECISE: Final = 3 TYPE_ANY: Final = 4 precision_names: Final = ["empty", "unanalyzed", "precise", "imprecise", "any"] class StatisticsVisitor(TraverserVisitor): def __init__( self, inferred: bool, filename: str, modules: dict[str, MypyFile], typemap: dict[Expression, Type] | None = None, all_nodes: bool = False, visit_untyped_defs: bool = True, ) -> None: self.inferred = inferred self.filename = filename self.modules = modules self.typemap = typemap self.all_nodes = all_nodes self.visit_untyped_defs = visit_untyped_defs self.num_precise_exprs = 0 self.num_imprecise_exprs = 0 self.num_any_exprs = 0 self.num_simple_types = 0 self.num_generic_types = 0 self.num_tuple_types = 0 self.num_function_types = 0 self.num_typevar_types = 0 self.num_complex_types = 0 self.num_any_types = 0 self.line = -1 self.line_map: dict[int, int] = {} self.type_of_any_counter: Counter[int] = Counter() self.any_line_map: dict[int, list[AnyType]] = {} # For each scope (top level/function), whether the scope was type checked # (annotated function). # # TODO: Handle --check-untyped-defs self.checked_scopes = [True] self.output: list[str] = [] TraverserVisitor.__init__(self) def visit_mypy_file(self, o: MypyFile) -> None: self.cur_mod_node = o self.cur_mod_id = o.fullname super().visit_mypy_file(o) def visit_import_from(self, imp: ImportFrom) -> None: self.process_import(imp) def visit_import_all(self, imp: ImportAll) -> None: self.process_import(imp) def process_import(self, imp: ImportFrom | ImportAll) -> None: import_id, ok = correct_relative_import( self.cur_mod_id, imp.relative, imp.id, self.cur_mod_node.is_package_init_file() ) if ok and import_id in self.modules: kind = TYPE_PRECISE else: kind = TYPE_ANY self.record_line(imp.line, kind) def visit_import(self, imp: Import) -> None: if all(id in self.modules for id, _ in imp.ids): kind = TYPE_PRECISE else: kind = TYPE_ANY self.record_line(imp.line, kind) def visit_func_def(self, o: FuncDef) -> None: with self.enter_scope(o): self.line = o.line if len(o.expanded) > 1 and o.expanded != [o] * len(o.expanded): if o in o.expanded: print( "{}:{}: ERROR: cycle in function expansion; skipping".format( self.filename, o.line ) ) return for defn in o.expanded: assert isinstance(defn, FuncDef) self.visit_func_def(defn) else: if o.type: assert isinstance(o.type, CallableType) sig = o.type arg_types = sig.arg_types if sig.arg_names and sig.arg_names[0] == "self" and not self.inferred: arg_types = arg_types[1:] for arg in arg_types: self.type(arg) self.type(sig.ret_type) elif self.all_nodes: self.record_line(self.line, TYPE_ANY) if not o.is_dynamic() or self.visit_untyped_defs: super().visit_func_def(o) @contextmanager def enter_scope(self, o: FuncDef) -> Iterator[None]: self.checked_scopes.append(o.type is not None and self.checked_scopes[-1]) yield None self.checked_scopes.pop() def is_checked_scope(self) -> bool: return self.checked_scopes[-1] def visit_class_def(self, o: ClassDef) -> None: self.record_line(o.line, TYPE_PRECISE) # TODO: Look at base classes # Override this method because we don't want to analyze base_type_exprs (base_type_exprs # are base classes in a class declaration). # While base_type_exprs are technically expressions, type analyzer does not visit them and # they are not in the typemap. for d in o.decorators: d.accept(self) o.defs.accept(self) def visit_type_application(self, o: TypeApplication) -> None: self.line = o.line for t in o.types: self.type(t) super().visit_type_application(o) def visit_assignment_stmt(self, o: AssignmentStmt) -> None: self.line = o.line if isinstance(o.rvalue, nodes.CallExpr) and isinstance( o.rvalue.analyzed, nodes.TypeVarExpr ): # Type variable definition -- not a real assignment. return if o.type: # If there is an explicit type, don't visit the l.h.s. as an expression # to avoid double-counting and mishandling special forms. self.type(o.type) o.rvalue.accept(self) return elif self.inferred and not self.all_nodes: # if self.all_nodes is set, lvalues will be visited later for lvalue in o.lvalues: if isinstance(lvalue, nodes.TupleExpr): items = lvalue.items else: items = [lvalue] for item in items: if isinstance(item, RefExpr) and item.is_inferred_def: if self.typemap is not None: self.type(self.typemap.get(item)) super().visit_assignment_stmt(o) def visit_expression_stmt(self, o: ExpressionStmt) -> None: if isinstance(o.expr, (StrExpr, BytesExpr)): # Docstring self.record_line(o.line, TYPE_EMPTY) else: super().visit_expression_stmt(o) def visit_pass_stmt(self, o: PassStmt) -> None: self.record_precise_if_checked_scope(o) def visit_break_stmt(self, o: BreakStmt) -> None: self.record_precise_if_checked_scope(o) def visit_continue_stmt(self, o: ContinueStmt) -> None: self.record_precise_if_checked_scope(o) def visit_name_expr(self, o: NameExpr) -> None: if o.fullname in ("builtins.None", "builtins.True", "builtins.False", "builtins.Ellipsis"): self.record_precise_if_checked_scope(o) else: self.process_node(o) super().visit_name_expr(o) def visit_yield_from_expr(self, o: YieldFromExpr) -> None: if o.expr: o.expr.accept(self) def visit_call_expr(self, o: CallExpr) -> None: self.process_node(o) if o.analyzed: o.analyzed.accept(self) else: o.callee.accept(self) for a in o.args: a.accept(self) self.record_call_target_precision(o) def record_call_target_precision(self, o: CallExpr) -> None: """Record precision of formal argument types used in a call.""" if not self.typemap or o.callee not in self.typemap: # Type not available. return callee_type = get_proper_type(self.typemap[o.callee]) if isinstance(callee_type, CallableType): self.record_callable_target_precision(o, callee_type) else: pass # TODO: Handle overloaded functions, etc. def record_callable_target_precision(self, o: CallExpr, callee: CallableType) -> None: """Record imprecision caused by callee argument types. This only considers arguments passed in a call expression. Arguments with default values that aren't provided in a call arguably don't contribute to typing imprecision at the *call site* (but they contribute at the function definition). """ assert self.typemap typemap = self.typemap actual_to_formal = map_formals_to_actuals( o.arg_kinds, o.arg_names, callee.arg_kinds, callee.arg_names, lambda n: typemap[o.args[n]], ) for formals in actual_to_formal: for n in formals: formal = get_proper_type(callee.arg_types[n]) if isinstance(formal, AnyType): self.record_line(o.line, TYPE_ANY) elif is_imprecise(formal): self.record_line(o.line, TYPE_IMPRECISE) def visit_member_expr(self, o: MemberExpr) -> None: self.process_node(o) super().visit_member_expr(o) def visit_op_expr(self, o: OpExpr) -> None: self.process_node(o) super().visit_op_expr(o) def visit_comparison_expr(self, o: ComparisonExpr) -> None: self.process_node(o) super().visit_comparison_expr(o) def visit_index_expr(self, o: IndexExpr) -> None: self.process_node(o) super().visit_index_expr(o) def visit_assignment_expr(self, o: AssignmentExpr) -> None: self.process_node(o) super().visit_assignment_expr(o) def visit_unary_expr(self, o: UnaryExpr) -> None: self.process_node(o) super().visit_unary_expr(o) def visit_str_expr(self, o: StrExpr) -> None: self.record_precise_if_checked_scope(o) def visit_bytes_expr(self, o: BytesExpr) -> None: self.record_precise_if_checked_scope(o) def visit_int_expr(self, o: IntExpr) -> None: self.record_precise_if_checked_scope(o) def visit_float_expr(self, o: FloatExpr) -> None: self.record_precise_if_checked_scope(o) def visit_complex_expr(self, o: ComplexExpr) -> None: self.record_precise_if_checked_scope(o) def visit_ellipsis(self, o: EllipsisExpr) -> None: self.record_precise_if_checked_scope(o) # Helpers def process_node(self, node: Expression) -> None: if self.all_nodes: if self.typemap is not None: self.line = node.line self.type(self.typemap.get(node)) def record_precise_if_checked_scope(self, node: Node) -> None: if isinstance(node, Expression) and self.typemap and node not in self.typemap: kind = TYPE_UNANALYZED elif self.is_checked_scope(): kind = TYPE_PRECISE else: kind = TYPE_ANY self.record_line(node.line, kind) def type(self, t: Type | None) -> None: t = get_proper_type(t) if not t: # If an expression does not have a type, it is often due to dead code. # Don't count these because there can be an unanalyzed value on a line with other # analyzed expressions, which overwrite the TYPE_UNANALYZED. self.record_line(self.line, TYPE_UNANALYZED) return if isinstance(t, AnyType) and is_special_form_any(t): # TODO: What if there is an error in special form definition? self.record_line(self.line, TYPE_PRECISE) return if isinstance(t, AnyType): self.log(" !! Any type around line %d" % self.line) self.num_any_exprs += 1 self.record_line(self.line, TYPE_ANY) elif (not self.all_nodes and is_imprecise(t)) or (self.all_nodes and is_imprecise2(t)): self.log(" !! Imprecise type around line %d" % self.line) self.num_imprecise_exprs += 1 self.record_line(self.line, TYPE_IMPRECISE) else: self.num_precise_exprs += 1 self.record_line(self.line, TYPE_PRECISE) for typ in get_proper_types(collect_all_inner_types(t)) + [t]: if isinstance(typ, AnyType): typ = get_original_any(typ) if is_special_form_any(typ): continue self.type_of_any_counter[typ.type_of_any] += 1 self.num_any_types += 1 if self.line in self.any_line_map: self.any_line_map[self.line].append(typ) else: self.any_line_map[self.line] = [typ] elif isinstance(typ, Instance): if typ.args: if any(is_complex(arg) for arg in typ.args): self.num_complex_types += 1 else: self.num_generic_types += 1 else: self.num_simple_types += 1 elif isinstance(typ, FunctionLike): self.num_function_types += 1 elif isinstance(typ, TupleType): if any(is_complex(item) for item in typ.items): self.num_complex_types += 1 else: self.num_tuple_types += 1 elif isinstance(typ, TypeVarType): self.num_typevar_types += 1 def log(self, string: str) -> None: self.output.append(string) def record_line(self, line: int, precision: int) -> None: self.line_map[line] = max(precision, self.line_map.get(line, TYPE_EMPTY)) def dump_type_stats( tree: MypyFile, path: str, modules: dict[str, MypyFile], inferred: bool = False, typemap: dict[Expression, Type] | None = None, ) -> None: if is_special_module(path): return print(path) visitor = StatisticsVisitor(inferred, filename=tree.fullname, modules=modules, typemap=typemap) tree.accept(visitor) for line in visitor.output: print(line) print(" ** precision **") print(" precise ", visitor.num_precise_exprs) print(" imprecise", visitor.num_imprecise_exprs) print(" any ", visitor.num_any_exprs) print(" ** kinds **") print(" simple ", visitor.num_simple_types) print(" generic ", visitor.num_generic_types) print(" function ", visitor.num_function_types) print(" tuple ", visitor.num_tuple_types) print(" TypeVar ", visitor.num_typevar_types) print(" complex ", visitor.num_complex_types) print(" any ", visitor.num_any_types) def is_special_module(path: str) -> bool: return os.path.basename(path) in ("abc.pyi", "typing.pyi", "builtins.pyi") def is_imprecise(t: Type) -> bool: return t.accept(HasAnyQuery()) class HasAnyQuery(BoolTypeQuery): def __init__(self) -> None: super().__init__(ANY_STRATEGY) def visit_any(self, t: AnyType) -> bool: return not is_special_form_any(t) def is_imprecise2(t: Type) -> bool: return t.accept(HasAnyQuery2()) class HasAnyQuery2(HasAnyQuery): def visit_callable_type(self, t: CallableType) -> bool: # We don't want to flag references to functions with some Any # argument types (etc.) since they generally don't mean trouble. return False def is_generic(t: Type) -> bool: t = get_proper_type(t) return isinstance(t, Instance) and bool(t.args) def is_complex(t: Type) -> bool: t = get_proper_type(t) return is_generic(t) or isinstance(t, (FunctionLike, TupleType, TypeVarType)) def is_special_form_any(t: AnyType) -> bool: return get_original_any(t).type_of_any == TypeOfAny.special_form def get_original_any(t: AnyType) -> AnyType: if t.type_of_any == TypeOfAny.from_another_any: assert t.source_any assert t.source_any.type_of_any != TypeOfAny.from_another_any t = t.source_any return t ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/strconv.py0000644000175100017510000006052615112307767015336 0ustar00runnerrunner"""Conversion of parse tree nodes to strings.""" from __future__ import annotations import os import re from collections.abc import Sequence from typing import TYPE_CHECKING, Any import mypy.nodes from mypy.options import Options from mypy.util import IdMapper, short_type from mypy.visitor import NodeVisitor if TYPE_CHECKING: import mypy.patterns import mypy.types class StrConv(NodeVisitor[str]): """Visitor for converting a node to a human-readable string. For example, an MypyFile node from program '1' is converted into something like this: MypyFile:1( fnam ExpressionStmt:1( IntExpr(1))) """ __slots__ = ["options", "show_ids", "id_mapper"] def __init__(self, *, show_ids: bool = False, options: Options) -> None: self.options = options self.show_ids = show_ids self.id_mapper: IdMapper | None = None if show_ids: self.id_mapper = IdMapper() def stringify_type(self, t: mypy.types.Type) -> str: import mypy.types return t.accept(mypy.types.TypeStrVisitor(id_mapper=self.id_mapper, options=self.options)) def get_id(self, o: object) -> int | None: if self.id_mapper: return self.id_mapper.id(o) return None def format_id(self, o: object) -> str: if self.id_mapper: return f"<{self.get_id(o)}>" else: return "" def dump(self, nodes: Sequence[object], obj: mypy.nodes.Context) -> str: """Convert a list of items to a multiline pretty-printed string. The tag is produced from the type name of obj and its line number. See mypy.util.dump_tagged for a description of the nodes argument. """ tag = short_type(obj) + ":" + str(obj.line) if self.show_ids: assert self.id_mapper is not None tag += f"<{self.get_id(obj)}>" return dump_tagged(nodes, tag, self) def func_helper(self, o: mypy.nodes.FuncItem) -> list[object]: """Return a list in a format suitable for dump() that represents the arguments and the body of a function. The caller can then decorate the array with information specific to methods, global functions or anonymous functions. """ args: list[mypy.nodes.Var | tuple[str, list[mypy.nodes.Node]]] = [] extra: list[tuple[str, list[mypy.nodes.Var]]] = [] for arg in o.arguments: kind: mypy.nodes.ArgKind = arg.kind if kind.is_required(): args.append(arg.variable) elif kind.is_optional(): assert arg.initializer is not None args.append(("default", [arg.variable, arg.initializer])) elif kind == mypy.nodes.ARG_STAR: extra.append(("VarArg", [arg.variable])) elif kind == mypy.nodes.ARG_STAR2: extra.append(("DictVarArg", [arg.variable])) a: list[Any] = [] if o.type_args: for p in o.type_args: a.append(self.type_param(p)) if args: a.append(("Args", args)) if o.type: a.append(o.type) if o.is_generator: a.append("Generator") a.extend(extra) a.append(o.body) return a # Top-level structures def visit_mypy_file(self, o: mypy.nodes.MypyFile) -> str: # Skip implicit definitions. a: list[Any] = [o.defs] if o.is_bom: a.insert(0, "BOM") # Omit path to special file with name "main". This is used to simplify # test case descriptions; the file "main" is used by default in many # test cases. if o.path != "main": # Insert path. Normalize directory separators to / to unify test # case# output in all platforms. a.insert(0, o.path.replace(os.getcwd() + os.sep, "").replace(os.sep, "/")) if o.ignored_lines: a.append("IgnoredLines(%s)" % ", ".join(str(line) for line in sorted(o.ignored_lines))) return self.dump(a, o) def visit_import(self, o: mypy.nodes.Import) -> str: a = [] for id, as_id in o.ids: if as_id is not None: a.append(f"{id} : {as_id}") else: a.append(id) return f"Import:{o.line}({', '.join(a)})" def visit_import_from(self, o: mypy.nodes.ImportFrom) -> str: a = [] for name, as_name in o.names: if as_name is not None: a.append(f"{name} : {as_name}") else: a.append(name) return f"ImportFrom:{o.line}({'.' * o.relative + o.id}, [{', '.join(a)}])" def visit_import_all(self, o: mypy.nodes.ImportAll) -> str: return f"ImportAll:{o.line}({'.' * o.relative + o.id})" # Definitions def visit_func_def(self, o: mypy.nodes.FuncDef) -> str: a = self.func_helper(o) a.insert(0, o.name) arg_kinds = {arg.kind for arg in o.arguments} if len(arg_kinds & {mypy.nodes.ARG_NAMED, mypy.nodes.ARG_NAMED_OPT}) > 0: a.insert(1, f"MaxPos({o.max_pos})") if o.abstract_status in (mypy.nodes.IS_ABSTRACT, mypy.nodes.IMPLICITLY_ABSTRACT): a.insert(-1, "Abstract") if o.is_static: a.insert(-1, "Static") if o.is_class: a.insert(-1, "Class") if o.is_property: a.insert(-1, "Property") return self.dump(a, o) def visit_overloaded_func_def(self, o: mypy.nodes.OverloadedFuncDef) -> str: a: Any = o.items.copy() if o.type: a.insert(0, o.type) if o.impl: a.insert(0, o.impl) if o.is_static: a.insert(-1, "Static") if o.is_class: a.insert(-1, "Class") return self.dump(a, o) def visit_class_def(self, o: mypy.nodes.ClassDef) -> str: a = [o.name, o.defs.body] # Display base types unless they are implicitly just builtins.object # (in this case base_type_exprs is empty). if o.base_type_exprs: if o.info and o.info.bases: if len(o.info.bases) != 1 or o.info.bases[0].type.fullname != "builtins.object": a.insert(1, ("BaseType", o.info.bases)) else: a.insert(1, ("BaseTypeExpr", o.base_type_exprs)) if o.type_vars: a.insert(1, ("TypeVars", o.type_vars)) if o.metaclass: a.insert(1, f"Metaclass({o.metaclass.accept(self)})") if o.decorators: a.insert(1, ("Decorators", o.decorators)) if o.info and o.info._promote: a.insert(1, f"Promote([{','.join(self.stringify_type(p) for p in o.info._promote)}])") if o.info and o.info.tuple_type: a.insert(1, ("TupleType", [o.info.tuple_type])) if o.info and o.info.fallback_to_any: a.insert(1, "FallbackToAny") if o.type_args: for p in reversed(o.type_args): a.insert(1, self.type_param(p)) return self.dump(a, o) def visit_var(self, o: mypy.nodes.Var) -> str: lst = "" # Add :nil line number tag if no line number is specified to remain # compatible with old test case descriptions that assume this. if o.line < 0: lst = ":nil" return "Var" + lst + "(" + o.name + ")" def visit_global_decl(self, o: mypy.nodes.GlobalDecl) -> str: return self.dump([o.names], o) def visit_nonlocal_decl(self, o: mypy.nodes.NonlocalDecl) -> str: return self.dump([o.names], o) def visit_decorator(self, o: mypy.nodes.Decorator) -> str: return self.dump([o.var, o.decorators, o.func], o) def visit_type_alias(self, o: mypy.nodes.TypeAlias, /) -> str: return self.dump([o.name, o.target, o.alias_tvars, o.no_args], o) def visit_placeholder_node(self, o: mypy.nodes.PlaceholderNode, /) -> str: return self.dump([o.fullname], o) # Statements def visit_block(self, o: mypy.nodes.Block) -> str: return self.dump(o.body, o) def visit_expression_stmt(self, o: mypy.nodes.ExpressionStmt) -> str: return self.dump([o.expr], o) def visit_assignment_stmt(self, o: mypy.nodes.AssignmentStmt) -> str: a: list[Any] = [] if len(o.lvalues) > 1: a = [("Lvalues", o.lvalues)] else: a = [o.lvalues[0]] a.append(o.rvalue) if o.type: a.append(o.type) return self.dump(a, o) def visit_operator_assignment_stmt(self, o: mypy.nodes.OperatorAssignmentStmt) -> str: return self.dump([o.op, o.lvalue, o.rvalue], o) def visit_while_stmt(self, o: mypy.nodes.WhileStmt) -> str: a: list[Any] = [o.expr, o.body] if o.else_body: a.append(("Else", o.else_body.body)) return self.dump(a, o) def visit_for_stmt(self, o: mypy.nodes.ForStmt) -> str: a: list[Any] = [] if o.is_async: a.append(("Async", "")) a.append(o.index) if o.index_type: a.append(o.index_type) a.extend([o.expr, o.body]) if o.else_body: a.append(("Else", o.else_body.body)) return self.dump(a, o) def visit_return_stmt(self, o: mypy.nodes.ReturnStmt) -> str: return self.dump([o.expr], o) def visit_if_stmt(self, o: mypy.nodes.IfStmt) -> str: a: list[Any] = [] for i in range(len(o.expr)): a.append(("If", [o.expr[i]])) a.append(("Then", o.body[i].body)) if not o.else_body: return self.dump(a, o) else: return self.dump([a, ("Else", o.else_body.body)], o) def visit_break_stmt(self, o: mypy.nodes.BreakStmt) -> str: return self.dump([], o) def visit_continue_stmt(self, o: mypy.nodes.ContinueStmt) -> str: return self.dump([], o) def visit_pass_stmt(self, o: mypy.nodes.PassStmt) -> str: return self.dump([], o) def visit_raise_stmt(self, o: mypy.nodes.RaiseStmt) -> str: return self.dump([o.expr, o.from_expr], o) def visit_assert_stmt(self, o: mypy.nodes.AssertStmt) -> str: if o.msg is not None: return self.dump([o.expr, o.msg], o) else: return self.dump([o.expr], o) def visit_await_expr(self, o: mypy.nodes.AwaitExpr) -> str: return self.dump([o.expr], o) def visit_del_stmt(self, o: mypy.nodes.DelStmt) -> str: return self.dump([o.expr], o) def visit_try_stmt(self, o: mypy.nodes.TryStmt) -> str: a: list[Any] = [o.body] if o.is_star: a.append("*") for i in range(len(o.vars)): a.append(o.types[i]) if o.vars[i]: a.append(o.vars[i]) a.append(o.handlers[i]) if o.else_body: a.append(("Else", o.else_body.body)) if o.finally_body: a.append(("Finally", o.finally_body.body)) return self.dump(a, o) def visit_with_stmt(self, o: mypy.nodes.WithStmt) -> str: a: list[Any] = [] if o.is_async: a.append(("Async", "")) for i in range(len(o.expr)): a.append(("Expr", [o.expr[i]])) if o.target[i]: a.append(("Target", [o.target[i]])) if o.unanalyzed_type: a.append(o.unanalyzed_type) return self.dump(a + [o.body], o) def visit_match_stmt(self, o: mypy.nodes.MatchStmt) -> str: a: list[Any] = [o.subject] for i in range(len(o.patterns)): a.append(("Pattern", [o.patterns[i]])) if o.guards[i] is not None: a.append(("Guard", [o.guards[i]])) a.append(("Body", o.bodies[i].body)) return self.dump(a, o) def visit_type_alias_stmt(self, o: mypy.nodes.TypeAliasStmt) -> str: a: list[Any] = [o.name] for p in o.type_args: a.append(self.type_param(p)) a.append(o.value) return self.dump(a, o) def type_param(self, p: mypy.nodes.TypeParam) -> list[Any]: a: list[Any] = [] if p.kind == mypy.nodes.PARAM_SPEC_KIND: prefix = "**" elif p.kind == mypy.nodes.TYPE_VAR_TUPLE_KIND: prefix = "*" else: prefix = "" a.append(prefix + p.name) if p.upper_bound: a.append(p.upper_bound) if p.values: a.append(("Values", p.values)) if p.default: a.append(("Default", [p.default])) return [("TypeParam", a)] # Expressions # Simple expressions def visit_int_expr(self, o: mypy.nodes.IntExpr) -> str: return f"IntExpr({o.value})" def visit_str_expr(self, o: mypy.nodes.StrExpr) -> str: return f"StrExpr({self.str_repr(o.value)})" def visit_bytes_expr(self, o: mypy.nodes.BytesExpr) -> str: return f"BytesExpr({self.str_repr(o.value)})" def str_repr(self, s: str) -> str: s = re.sub(r"\\u[0-9a-fA-F]{4}", lambda m: "\\" + m.group(0), s) return re.sub("[^\\x20-\\x7e]", lambda m: r"\u%.4x" % ord(m.group(0)), s) def visit_float_expr(self, o: mypy.nodes.FloatExpr) -> str: return f"FloatExpr({o.value})" def visit_complex_expr(self, o: mypy.nodes.ComplexExpr) -> str: return f"ComplexExpr({o.value})" def visit_ellipsis(self, o: mypy.nodes.EllipsisExpr) -> str: return "Ellipsis" def visit_star_expr(self, o: mypy.nodes.StarExpr) -> str: return self.dump([o.expr], o) def visit_name_expr(self, o: mypy.nodes.NameExpr) -> str: pretty = self.pretty_name( o.name, o.kind, o.fullname, o.is_inferred_def or o.is_special_form, o.node ) if isinstance(o.node, mypy.nodes.Var) and o.node.is_final: final_value = o.node.final_value if final_value is not None: pretty += f" = {o.node.final_value}" return short_type(o) + "(" + pretty + ")" def pretty_name( self, name: str, kind: int | None, fullname: str | None, is_inferred_def: bool, target_node: mypy.nodes.Node | None = None, ) -> str: n = name if is_inferred_def: n += "*" if target_node: id = self.format_id(target_node) else: id = "" if isinstance(target_node, mypy.nodes.MypyFile) and name == fullname: n += id elif kind == mypy.nodes.GDEF or (fullname != name and fullname): # Append fully qualified name for global references. n += f" [{fullname}{id}]" elif kind == mypy.nodes.LDEF: # Add tag to signify a local reference. n += f" [l{id}]" elif kind == mypy.nodes.MDEF: # Add tag to signify a member reference. n += f" [m{id}]" else: n += id return n def visit_member_expr(self, o: mypy.nodes.MemberExpr) -> str: pretty = self.pretty_name(o.name, o.kind, o.fullname, o.is_inferred_def, o.node) return self.dump([o.expr, pretty], o) def visit_yield_expr(self, o: mypy.nodes.YieldExpr) -> str: return self.dump([o.expr], o) def visit_yield_from_expr(self, o: mypy.nodes.YieldFromExpr) -> str: if o.expr: return self.dump([o.expr.accept(self)], o) else: return self.dump([], o) def visit_call_expr(self, o: mypy.nodes.CallExpr) -> str: if o.analyzed: return o.analyzed.accept(self) args: list[mypy.nodes.Expression] = [] extra: list[str | tuple[str, list[Any]]] = [] for i, kind in enumerate(o.arg_kinds): if kind in [mypy.nodes.ARG_POS, mypy.nodes.ARG_STAR]: args.append(o.args[i]) if kind == mypy.nodes.ARG_STAR: extra.append("VarArg") elif kind == mypy.nodes.ARG_NAMED: extra.append(("KwArgs", [o.arg_names[i], o.args[i]])) elif kind == mypy.nodes.ARG_STAR2: extra.append(("DictVarArg", [o.args[i]])) else: raise RuntimeError(f"unknown kind {kind}") a: list[Any] = [o.callee, ("Args", args)] return self.dump(a + extra, o) def visit_op_expr(self, o: mypy.nodes.OpExpr) -> str: if o.analyzed: return o.analyzed.accept(self) return self.dump([o.op, o.left, o.right], o) def visit_comparison_expr(self, o: mypy.nodes.ComparisonExpr) -> str: return self.dump([o.operators, o.operands], o) def visit_cast_expr(self, o: mypy.nodes.CastExpr) -> str: return self.dump([o.expr, o.type], o) def visit_type_form_expr(self, o: mypy.nodes.TypeFormExpr) -> str: return self.dump([o.type], o) def visit_assert_type_expr(self, o: mypy.nodes.AssertTypeExpr) -> str: return self.dump([o.expr, o.type], o) def visit_reveal_expr(self, o: mypy.nodes.RevealExpr) -> str: if o.kind == mypy.nodes.REVEAL_TYPE: return self.dump([o.expr], o) else: # REVEAL_LOCALS return self.dump([o.local_nodes], o) def visit_assignment_expr(self, o: mypy.nodes.AssignmentExpr) -> str: return self.dump([o.target, o.value], o) def visit_unary_expr(self, o: mypy.nodes.UnaryExpr) -> str: return self.dump([o.op, o.expr], o) def visit_list_expr(self, o: mypy.nodes.ListExpr) -> str: return self.dump(o.items, o) def visit_dict_expr(self, o: mypy.nodes.DictExpr) -> str: return self.dump([[k, v] for k, v in o.items], o) def visit_set_expr(self, o: mypy.nodes.SetExpr) -> str: return self.dump(o.items, o) def visit_tuple_expr(self, o: mypy.nodes.TupleExpr) -> str: return self.dump(o.items, o) def visit_index_expr(self, o: mypy.nodes.IndexExpr) -> str: if o.analyzed: return o.analyzed.accept(self) return self.dump([o.base, o.index], o) def visit_super_expr(self, o: mypy.nodes.SuperExpr) -> str: return self.dump([o.name, o.call], o) def visit_type_application(self, o: mypy.nodes.TypeApplication) -> str: return self.dump([o.expr, ("Types", o.types)], o) def visit_type_var_expr(self, o: mypy.nodes.TypeVarExpr) -> str: import mypy.types a: list[Any] = [] if o.variance == mypy.nodes.COVARIANT: a += ["Variance(COVARIANT)"] if o.variance == mypy.nodes.CONTRAVARIANT: a += ["Variance(CONTRAVARIANT)"] if o.values: a += [("Values", o.values)] if not mypy.types.is_named_instance(o.upper_bound, "builtins.object"): a += [f"UpperBound({self.stringify_type(o.upper_bound)})"] return self.dump(a, o) def visit_paramspec_expr(self, o: mypy.nodes.ParamSpecExpr) -> str: import mypy.types a: list[Any] = [] if o.variance == mypy.nodes.COVARIANT: a += ["Variance(COVARIANT)"] if o.variance == mypy.nodes.CONTRAVARIANT: a += ["Variance(CONTRAVARIANT)"] if not mypy.types.is_named_instance(o.upper_bound, "builtins.object"): a += [f"UpperBound({self.stringify_type(o.upper_bound)})"] return self.dump(a, o) def visit_type_var_tuple_expr(self, o: mypy.nodes.TypeVarTupleExpr) -> str: import mypy.types a: list[Any] = [] if o.variance == mypy.nodes.COVARIANT: a += ["Variance(COVARIANT)"] if o.variance == mypy.nodes.CONTRAVARIANT: a += ["Variance(CONTRAVARIANT)"] if not mypy.types.is_named_instance(o.upper_bound, "builtins.object"): a += [f"UpperBound({self.stringify_type(o.upper_bound)})"] return self.dump(a, o) def visit_type_alias_expr(self, o: mypy.nodes.TypeAliasExpr) -> str: return f"TypeAliasExpr({self.stringify_type(o.node.target)})" def visit_namedtuple_expr(self, o: mypy.nodes.NamedTupleExpr) -> str: return f"NamedTupleExpr:{o.line}({o.info.name}, {self.stringify_type(o.info.tuple_type) if o.info.tuple_type is not None else None})" def visit_enum_call_expr(self, o: mypy.nodes.EnumCallExpr) -> str: return f"EnumCallExpr:{o.line}({o.info.name}, {o.items})" def visit_typeddict_expr(self, o: mypy.nodes.TypedDictExpr) -> str: return f"TypedDictExpr:{o.line}({o.info.name})" def visit__promote_expr(self, o: mypy.nodes.PromoteExpr) -> str: return f"PromoteExpr:{o.line}({self.stringify_type(o.type)})" def visit_newtype_expr(self, o: mypy.nodes.NewTypeExpr) -> str: return f"NewTypeExpr:{o.line}({o.name}, {self.dump([o.old_type], o)})" def visit_lambda_expr(self, o: mypy.nodes.LambdaExpr) -> str: a = self.func_helper(o) return self.dump(a, o) def visit_generator_expr(self, o: mypy.nodes.GeneratorExpr) -> str: condlists = o.condlists if any(o.condlists) else None return self.dump([o.left_expr, o.indices, o.sequences, condlists], o) def visit_list_comprehension(self, o: mypy.nodes.ListComprehension) -> str: return self.dump([o.generator], o) def visit_set_comprehension(self, o: mypy.nodes.SetComprehension) -> str: return self.dump([o.generator], o) def visit_dictionary_comprehension(self, o: mypy.nodes.DictionaryComprehension) -> str: condlists = o.condlists if any(o.condlists) else None return self.dump([o.key, o.value, o.indices, o.sequences, condlists], o) def visit_conditional_expr(self, o: mypy.nodes.ConditionalExpr) -> str: return self.dump([("Condition", [o.cond]), o.if_expr, o.else_expr], o) def visit_slice_expr(self, o: mypy.nodes.SliceExpr) -> str: a: list[Any] = [o.begin_index, o.end_index, o.stride] if not a[0]: a[0] = "" if not a[1]: a[1] = "" return self.dump(a, o) def visit_temp_node(self, o: mypy.nodes.TempNode) -> str: return self.dump([o.type], o) def visit_as_pattern(self, o: mypy.patterns.AsPattern) -> str: return self.dump([o.pattern, o.name], o) def visit_or_pattern(self, o: mypy.patterns.OrPattern) -> str: return self.dump(o.patterns, o) def visit_value_pattern(self, o: mypy.patterns.ValuePattern) -> str: return self.dump([o.expr], o) def visit_singleton_pattern(self, o: mypy.patterns.SingletonPattern) -> str: return self.dump([o.value], o) def visit_sequence_pattern(self, o: mypy.patterns.SequencePattern) -> str: return self.dump(o.patterns, o) def visit_starred_pattern(self, o: mypy.patterns.StarredPattern) -> str: return self.dump([o.capture], o) def visit_mapping_pattern(self, o: mypy.patterns.MappingPattern) -> str: a: list[Any] = [] for i in range(len(o.keys)): a.append(("Key", [o.keys[i]])) a.append(("Value", [o.values[i]])) if o.rest is not None: a.append(("Rest", [o.rest])) return self.dump(a, o) def visit_class_pattern(self, o: mypy.patterns.ClassPattern) -> str: a: list[Any] = [o.class_ref] if len(o.positionals) > 0: a.append(("Positionals", o.positionals)) for i in range(len(o.keyword_keys)): a.append(("Keyword", [o.keyword_keys[i], o.keyword_values[i]])) return self.dump(a, o) def dump_tagged(nodes: Sequence[object], tag: str | None, str_conv: StrConv) -> str: """Convert an array into a pretty-printed multiline string representation. The format is tag( item1.. itemN) Individual items are formatted like this: - arrays are flattened - pairs (str, array) are converted recursively, so that str is the tag - other items are converted to strings and indented """ from mypy.types import Type, TypeStrVisitor a: list[str] = [] if tag: a.append(tag + "(") for n in nodes: if isinstance(n, list): if n: a.append(dump_tagged(n, None, str_conv)) elif isinstance(n, tuple): s = dump_tagged(n[1], n[0], str_conv) a.append(indent(s, 2)) elif isinstance(n, mypy.nodes.Node): a.append(indent(n.accept(str_conv), 2)) elif isinstance(n, Type): a.append( indent(n.accept(TypeStrVisitor(str_conv.id_mapper, options=str_conv.options)), 2) ) elif n is not None: a.append(indent(str(n), 2)) if tag: a[-1] += ")" return "\n".join(a) def indent(s: str, n: int) -> str: """Indent all the lines in s (separated by newlines) by n spaces.""" s = " " * n + s s = s.replace("\n", "\n" + " " * n) return s ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/stubdoc.py0000644000175100017510000004453415112307767015304 0ustar00runnerrunner"""Parsing/inferring signatures from documentation. This module provides several functions to generate better stubs using docstrings and Sphinx docs (.rst files). """ from __future__ import annotations import contextlib import io import keyword import re import tokenize from collections.abc import MutableMapping, MutableSequence, Sequence from typing import Any, Final, NamedTuple from typing_extensions import TypeAlias as _TypeAlias import mypy.util # Type alias for signatures strings in format ('func_name', '(arg, opt_arg=False)'). Sig: _TypeAlias = tuple[str, str] _TYPE_RE: Final = re.compile(r"^[a-zA-Z_][\w\[\], .\"\'|]*(\.[a-zA-Z_][\w\[\], ]*)*$") _ARG_NAME_RE: Final = re.compile(r"\**[A-Za-z_][A-Za-z0-9_]*$") def is_valid_type(s: str) -> bool: """Try to determine whether a string might be a valid type annotation.""" if s in ("True", "False", "retval"): return False if "," in s and "[" not in s: return False return _TYPE_RE.match(s) is not None class ArgSig: """Signature info for a single argument.""" def __init__( self, name: str, type: str | None = None, *, default: bool = False, default_value: str = "...", ) -> None: self.name = name self.type = type # Does this argument have a default value? self.default = default self.default_value = default_value def is_star_arg(self) -> bool: return self.name.startswith("*") and not self.name.startswith("**") def is_star_kwarg(self) -> bool: return self.name.startswith("**") def __repr__(self) -> str: return "ArgSig(name={}, type={}, default={})".format( repr(self.name), repr(self.type), repr(self.default) ) def __eq__(self, other: Any) -> bool: if isinstance(other, ArgSig): return ( self.name == other.name and self.type == other.type and self.default == other.default and self.default_value == other.default_value ) return False class FunctionSig(NamedTuple): name: str args: list[ArgSig] ret_type: str | None type_args: str = "" # TODO implement in stubgenc and remove the default docstring: str | None = None def is_special_method(self) -> bool: return bool( self.name.startswith("__") and self.name.endswith("__") and self.args and self.args[0].name in ("self", "cls") ) def has_catchall_args(self) -> bool: """Return if this signature has catchall args: (*args, **kwargs)""" if self.args and self.args[0].name in ("self", "cls"): args = self.args[1:] else: args = self.args return ( len(args) == 2 and all(a.type in (None, "object", "Any", "typing.Any") for a in args) and args[0].is_star_arg() and args[1].is_star_kwarg() ) def is_catchall_signature(self) -> bool: """Return if this signature is the catchall identity: (*args, **kwargs) -> Any""" return self.has_catchall_args() and self.ret_type in (None, "Any", "typing.Any") def format_sig( self, indent: str = "", is_async: bool = False, any_val: str | None = None, docstring: str | None = None, include_docstrings: bool = False, ) -> str: args: list[str] = [] for arg in self.args: arg_def = arg.name if arg_def in keyword.kwlist: arg_def = "_" + arg_def if ( arg.type is None and any_val is not None and arg.name not in ("self", "cls") and not arg.name.startswith("*") ): arg_type: str | None = any_val else: arg_type = arg.type if arg_type: arg_def += ": " + arg_type if arg.default: arg_def += f" = {arg.default_value}" elif arg.default: arg_def += f"={arg.default_value}" args.append(arg_def) retfield = "" ret_type = self.ret_type if self.ret_type else any_val if ret_type is not None: retfield = " -> " + ret_type prefix = "async " if is_async else "" sig = f"{indent}{prefix}def {self.name}{self.type_args}({', '.join(args)}){retfield}:" # if this object has a docstring it's probably produced by a SignatureGenerator, so it # takes precedence over the passed docstring, which acts as a fallback. doc = (self.docstring or docstring) if include_docstrings else None if doc: suffix = f"\n{indent} {mypy.util.quote_docstring(doc)}" else: suffix = " ..." return f"{sig}{suffix}" # States of the docstring parser. STATE_INIT: Final = 1 STATE_FUNCTION_NAME: Final = 2 STATE_ARGUMENT_LIST: Final = 3 STATE_ARGUMENT_TYPE: Final = 4 STATE_ARGUMENT_DEFAULT: Final = 5 STATE_RETURN_VALUE: Final = 6 STATE_OPEN_BRACKET: Final = 7 # For generic types. class DocStringParser: """Parse function signatures in documentation.""" def __init__(self, function_name: str) -> None: # Only search for signatures of function with this name. self.function_name = function_name self.state = [STATE_INIT] self.accumulator = "" self.arg_type: str | None = None self.arg_name = "" self.arg_default: str | None = None self.ret_type = "Any" self.found = False self.args: list[ArgSig] = [] self.pos_only: int | None = None self.keyword_only: int | None = None # Valid signatures found so far. self.signatures: list[FunctionSig] = [] def add_token(self, token: tokenize.TokenInfo) -> None: """Process next token from the token stream.""" if ( token.type == tokenize.NAME and token.string == self.function_name and self.state[-1] == STATE_INIT ): self.state.append(STATE_FUNCTION_NAME) elif ( token.type == tokenize.OP and token.string == "(" and self.state[-1] == STATE_FUNCTION_NAME ): self.state.pop() self.accumulator = "" self.found = True self.state.append(STATE_ARGUMENT_LIST) elif self.state[-1] == STATE_FUNCTION_NAME: # Reset state, function name not followed by '('. self.state.pop() elif ( token.type == tokenize.OP and token.string in ("[", "(", "{") and self.state[-1] != STATE_INIT ): self.accumulator += token.string self.state.append(STATE_OPEN_BRACKET) elif ( token.type == tokenize.OP and token.string in ("]", ")", "}") and self.state[-1] == STATE_OPEN_BRACKET ): self.accumulator += token.string self.state.pop() elif ( token.type == tokenize.OP and token.string == ":" and self.state[-1] == STATE_ARGUMENT_LIST ): self.arg_name = self.accumulator self.accumulator = "" self.state.append(STATE_ARGUMENT_TYPE) elif ( token.type == tokenize.OP and token.string == "=" and self.state[-1] in (STATE_ARGUMENT_LIST, STATE_ARGUMENT_TYPE) ): if self.state[-1] == STATE_ARGUMENT_TYPE: self.arg_type = self.accumulator self.state.pop() else: self.arg_name = self.accumulator self.accumulator = "" self.state.append(STATE_ARGUMENT_DEFAULT) elif ( token.type == tokenize.OP and token.string in (",", ")") and self.state[-1] in (STATE_ARGUMENT_LIST, STATE_ARGUMENT_DEFAULT, STATE_ARGUMENT_TYPE) ): if self.state[-1] == STATE_ARGUMENT_DEFAULT: self.arg_default = self.accumulator self.state.pop() elif self.state[-1] == STATE_ARGUMENT_TYPE: self.arg_type = self.accumulator self.state.pop() elif self.state[-1] == STATE_ARGUMENT_LIST: if self.accumulator == "*": if self.keyword_only is not None: # Error condition: cannot have * twice self.reset() return self.keyword_only = len(self.args) self.accumulator = "" else: if self.accumulator.startswith("*"): self.keyword_only = len(self.args) + 1 self.arg_name = self.accumulator if not ( token.string == ")" and self.accumulator.strip() == "" ) and not _ARG_NAME_RE.match(self.arg_name): # Invalid argument name. self.reset() return if token.string == ")": if ( self.state[-1] == STATE_ARGUMENT_LIST and self.keyword_only is not None and self.keyword_only == len(self.args) and not self.arg_name ): # Error condition: * must be followed by arguments self.reset() return self.state.pop() # arg_name is empty when there are no args. e.g. func() if self.arg_name: if self.arg_type and not is_valid_type(self.arg_type): # wrong type, use Any self.args.append( ArgSig(name=self.arg_name, type=None, default=bool(self.arg_default)) ) else: self.args.append( ArgSig( name=self.arg_name, type=self.arg_type, default=bool(self.arg_default) ) ) self.arg_name = "" self.arg_type = None self.arg_default = None self.accumulator = "" elif ( token.type == tokenize.OP and token.string == "/" and self.state[-1] == STATE_ARGUMENT_LIST ): if token.string == "/": if self.pos_only is not None or self.keyword_only is not None or not self.args: # Error cases: # - / shows up more than once # - / shows up after * # - / shows up before any arguments self.reset() return self.pos_only = len(self.args) self.state.append(STATE_ARGUMENT_TYPE) self.accumulator = "" elif token.type == tokenize.OP and token.string == "->" and self.state[-1] == STATE_INIT: self.accumulator = "" self.state.append(STATE_RETURN_VALUE) # ENDMAKER is necessary for python 3.4 and 3.5. elif token.type in (tokenize.NEWLINE, tokenize.ENDMARKER) and self.state[-1] in ( STATE_INIT, STATE_RETURN_VALUE, ): if self.state[-1] == STATE_RETURN_VALUE: if not is_valid_type(self.accumulator): self.reset() return self.ret_type = self.accumulator self.accumulator = "" self.state.pop() if self.found: self.signatures.append( FunctionSig(name=self.function_name, args=self.args, ret_type=self.ret_type) ) self.found = False self.args = [] self.ret_type = "Any" # Leave state as INIT. else: self.accumulator += token.string def reset(self) -> None: self.state = [STATE_INIT] self.args = [] self.found = False self.accumulator = "" def get_signatures(self) -> list[FunctionSig]: """Return sorted copy of the list of signatures found so far.""" def has_arg(name: str, signature: FunctionSig) -> bool: return any(x.name == name for x in signature.args) def args_kwargs(signature: FunctionSig) -> bool: return has_arg("*args", signature) and has_arg("**kwargs", signature) # Move functions with (*args, **kwargs) in their signature to last place. return sorted(self.signatures, key=lambda x: 1 if args_kwargs(x) else 0) def infer_sig_from_docstring(docstr: str | None, name: str) -> list[FunctionSig] | None: """Convert function signature to list of FunctionSig Look for function signatures of function in docstring. Signature is a string of the format () -> or perhaps without the return type. Returns empty list, when no signature is found, one signature in typical case, multiple signatures, if docstring specifies multiple signatures for overload functions. Return None if the docstring is empty. Arguments: * docstr: docstring * name: name of function for which signatures are to be found """ if not (isinstance(docstr, str) and docstr): return None state = DocStringParser(name) # Return all found signatures, even if there is a parse error after some are found. with contextlib.suppress(tokenize.TokenError): try: tokens = tokenize.tokenize(io.BytesIO(docstr.encode("utf-8")).readline) for token in tokens: state.add_token(token) except IndentationError: return None sigs = state.get_signatures() def is_unique_args(sig: FunctionSig) -> bool: """return true if function argument names are unique""" return len(sig.args) == len({arg.name for arg in sig.args}) # Return only signatures that have unique argument names. Mypy fails on non-unique arg names. return [sig for sig in sigs if is_unique_args(sig)] def infer_arg_sig_from_anon_docstring(docstr: str) -> list[ArgSig]: """Convert signature in form of "(self: TestClass, arg0: str='ada')" to List[TypedArgList].""" ret = infer_sig_from_docstring("stub" + docstr, "stub") if ret: return ret[0].args return [] def infer_ret_type_sig_from_docstring(docstr: str, name: str) -> str | None: """Convert signature in form of "func(self: TestClass, arg0) -> int" to their return type.""" ret = infer_sig_from_docstring(docstr, name) if ret: return ret[0].ret_type return None def infer_ret_type_sig_from_anon_docstring(docstr: str) -> str | None: """Convert signature in form of "(self: TestClass, arg0) -> int" to their return type.""" lines = ["stub" + line.strip() for line in docstr.splitlines() if line.strip().startswith("(")] return infer_ret_type_sig_from_docstring("".join(lines), "stub") def parse_signature(sig: str) -> tuple[str, list[str], list[str]] | None: """Split function signature into its name, positional an optional arguments. The expected format is "func_name(arg, opt_arg=False)". Return the name of function and lists of positional and optional argument names. """ m = re.match(r"([.a-zA-Z0-9_]+)\(([^)]*)\)", sig) if not m: return None name = m.group(1) name = name.split(".")[-1] arg_string = m.group(2) if not arg_string.strip(): # Simple case -- no arguments. return name, [], [] args = [arg.strip() for arg in arg_string.split(",")] positional = [] optional = [] i = 0 while i < len(args): # Accept optional arguments as in both formats: x=None and [x]. if args[i].startswith("[") or "=" in args[i]: break positional.append(args[i].rstrip("[")) i += 1 if args[i - 1].endswith("["): break while i < len(args): arg = args[i] arg = arg.strip("[]") arg = arg.split("=")[0] optional.append(arg) i += 1 return name, positional, optional def build_signature(positional: Sequence[str], optional: Sequence[str]) -> str: """Build function signature from lists of positional and optional argument names.""" args: MutableSequence[str] = [] args.extend(positional) for arg in optional: if arg.startswith("*"): args.append(arg) else: args.append(f"{arg}=...") sig = f"({', '.join(args)})" # Ad-hoc fixes. sig = sig.replace("(self)", "") return sig def parse_all_signatures(lines: Sequence[str]) -> tuple[list[Sig], list[Sig]]: """Parse all signatures in a given reST document. Return lists of found signatures for functions and classes. """ sigs = [] class_sigs = [] for line in lines: line = line.strip() m = re.match(r"\.\. *(function|method|class) *:: *[a-zA-Z_]", line) if m: sig = line.split("::")[1].strip() parsed = parse_signature(sig) if parsed: name, fixed, optional = parsed if m.group(1) != "class": sigs.append((name, build_signature(fixed, optional))) else: class_sigs.append((name, build_signature(fixed, optional))) return sorted(sigs), sorted(class_sigs) def find_unique_signatures(sigs: Sequence[Sig]) -> list[Sig]: """Remove names with duplicate found signatures.""" sig_map: MutableMapping[str, list[str]] = {} for name, sig in sigs: sig_map.setdefault(name, []).append(sig) result = [] for name, name_sigs in sig_map.items(): if len(set(name_sigs)) == 1: result.append((name, name_sigs[0])) return sorted(result) def infer_prop_type_from_docstring(docstr: str | None) -> str | None: """Check for Google/Numpy style docstring type annotation for a property. The docstring has the format ": ". In the type string, we allow the following characters: * dot: because sometimes classes are annotated using full path * brackets: to allow type hints like List[int] * comma/space: things like Tuple[int, int] """ if not docstr: return None test_str = r"^([a-zA-Z0-9_, \.\[\]]*): " m = re.match(test_str, docstr) return m.group(1) if m else None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/stubgen.py0000755000175100017510000023121615112307767015306 0ustar00runnerrunner#!/usr/bin/env python3 """Generator of dynamically typed draft stubs for arbitrary modules. The logic of this script can be split in three steps: * parsing options and finding sources: - use runtime imports be default (to find also C modules) - or use mypy's mechanisms, if importing is prohibited * (optionally) semantically analysing the sources using mypy (as a single set) * emitting the stubs text: - for Python modules: from ASTs using ASTStubGenerator - for C modules using runtime introspection and (optionally) Sphinx docs During first and third steps some problematic files can be skipped, but any blocking error during second step will cause the whole program to stop. Basic usage: $ stubgen foo.py bar.py some_directory => Generate out/foo.pyi, out/bar.pyi, and stubs for some_directory (recursively). $ stubgen -m urllib.parse => Generate out/urllib/parse.pyi. $ stubgen -p urllib => Generate stubs for whole urllib package (recursively). For C modules, you can get more precise function signatures by parsing .rst (Sphinx) documentation for extra information. For this, use the --doc-dir option: $ stubgen --doc-dir /Python-3.4.2/Doc/library -m curses Note: The generated stubs should be verified manually. TODO: - maybe use .rst docs also for Python modules - maybe export more imported names if there is no __all__ (this affects ssl.SSLError, for example) - a quick and dirty heuristic would be to turn this on if a module has something like 'from x import y as _y' - we don't seem to always detect properties ('closed' in 'io', for example) """ from __future__ import annotations import argparse import keyword import os import os.path import sys import traceback from collections.abc import Iterable, Iterator from typing import Final import mypy.build import mypy.mixedtraverser import mypy.parse import mypy.traverser import mypy.util import mypy.version from mypy.build import build from mypy.errors import CompileError, Errors from mypy.find_sources import InvalidSourceList, create_source_list from mypy.modulefinder import ( BuildSource, FindModuleCache, ModuleNotFoundReason, SearchPaths, default_lib_path, ) from mypy.moduleinspect import ModuleInspect, is_pyc_only from mypy.nodes import ( ARG_NAMED, ARG_POS, ARG_STAR, ARG_STAR2, IS_ABSTRACT, NOT_ABSTRACT, AssignmentStmt, Block, BytesExpr, CallExpr, CastExpr, ClassDef, ComparisonExpr, ComplexExpr, ConditionalExpr, Decorator, DictExpr, DictionaryComprehension, EllipsisExpr, Expression, ExpressionStmt, FloatExpr, FuncBase, FuncDef, GeneratorExpr, IfStmt, Import, ImportAll, ImportFrom, IndexExpr, IntExpr, LambdaExpr, ListComprehension, ListExpr, MemberExpr, MypyFile, NameExpr, OpExpr, OverloadedFuncDef, SetComprehension, SetExpr, SliceExpr, StarExpr, Statement, StrExpr, TempNode, TupleExpr, TypeAliasStmt, TypeInfo, UnaryExpr, Var, ) from mypy.options import Options as MypyOptions from mypy.plugins.dataclasses import DATACLASS_FIELD_SPECIFIERS from mypy.semanal_shared import find_dataclass_transform_spec from mypy.sharedparse import MAGIC_METHODS_POS_ARGS_ONLY from mypy.stubdoc import ArgSig, FunctionSig from mypy.stubgenc import InspectionStubGenerator, generate_stub_for_c_module from mypy.stubutil import ( TYPING_BUILTIN_REPLACEMENTS, BaseStubGenerator, CantImport, ClassInfo, FunctionContext, common_dir_prefix, fail_missing, find_module_path_and_all_py3, generate_guarded, infer_method_arg_types, infer_method_ret_type, remove_misplaced_type_comments, report_missing, walk_packages, ) from mypy.traverser import ( all_yield_expressions, has_return_statement, has_yield_expression, has_yield_from_expression, ) from mypy.types import ( DATACLASS_TRANSFORM_NAMES, OVERLOAD_NAMES, TPDICT_NAMES, TYPE_VAR_LIKE_NAMES, TYPED_NAMEDTUPLE_NAMES, AnyType, CallableType, Instance, TupleType, Type, UnboundType, get_proper_type, ) from mypy.visitor import NodeVisitor # Common ways of naming package containing vendored modules. VENDOR_PACKAGES: Final = ["packages", "vendor", "vendored", "_vendor", "_vendored_packages"] # Avoid some file names that are unnecessary or likely to cause trouble (\n for end of path). BLACKLIST: Final = [ "/six.py\n", # Likely vendored six; too dynamic for us to handle "/vendored/", # Vendored packages "/vendor/", # Vendored packages "/_vendor/", "/_vendored_packages/", ] # These methods are expected to always return a non-trivial value. METHODS_WITH_RETURN_VALUE: Final = { "__ne__", "__eq__", "__lt__", "__le__", "__gt__", "__ge__", "__hash__", "__iter__", } class Options: """Represents stubgen options. This class is mutable to simplify testing. """ def __init__( self, pyversion: tuple[int, int], no_import: bool, inspect: bool, doc_dir: str, search_path: list[str], interpreter: str, parse_only: bool, ignore_errors: bool, include_private: bool, output_dir: str, modules: list[str], packages: list[str], files: list[str], verbose: bool, quiet: bool, export_less: bool, include_docstrings: bool, ) -> None: # See parse_options for descriptions of the flags. self.pyversion = pyversion self.no_import = no_import self.inspect = inspect self.doc_dir = doc_dir self.search_path = search_path self.interpreter = interpreter self.decointerpreter = interpreter self.parse_only = parse_only self.ignore_errors = ignore_errors self.include_private = include_private self.output_dir = output_dir self.modules = modules self.packages = packages self.files = files self.verbose = verbose self.quiet = quiet self.export_less = export_less self.include_docstrings = include_docstrings class StubSource: """A single source for stub: can be a Python or C module. A simple extension of BuildSource that also carries the AST and the value of __all__ detected at runtime. """ def __init__( self, module: str, path: str | None = None, runtime_all: list[str] | None = None ) -> None: self.source = BuildSource(path, module, None) self.runtime_all = runtime_all self.ast: MypyFile | None = None def __repr__(self) -> str: return f"StubSource({self.source})" @property def module(self) -> str: return self.source.module @property def path(self) -> str | None: return self.source.path # What was generated previously in the stub file. We keep track of these to generate # nicely formatted output (add empty line between non-empty classes, for example). EMPTY: Final = "EMPTY" FUNC: Final = "FUNC" CLASS: Final = "CLASS" EMPTY_CLASS: Final = "EMPTY_CLASS" VAR: Final = "VAR" NOT_IN_ALL: Final = "NOT_IN_ALL" # Indicates that we failed to generate a reasonable output # for a given node. These should be manually replaced by a user. ERROR_MARKER: Final = "" class AliasPrinter(NodeVisitor[str]): """Visitor used to collect type aliases _and_ type variable definitions. Visit r.h.s of the definition to get the string representation of type alias. """ def __init__(self, stubgen: ASTStubGenerator) -> None: self.stubgen = stubgen super().__init__() def visit_call_expr(self, node: CallExpr) -> str: # Call expressions are not usually types, but we also treat `X = TypeVar(...)` as a # type alias that has to be preserved (even if TypeVar is not the same as an alias) callee = node.callee.accept(self) args = [] for name, arg, kind in zip(node.arg_names, node.args, node.arg_kinds): if kind == ARG_POS: args.append(arg.accept(self)) elif kind == ARG_STAR: args.append("*" + arg.accept(self)) elif kind == ARG_STAR2: args.append("**" + arg.accept(self)) elif kind == ARG_NAMED: args.append(f"{name}={arg.accept(self)}") else: raise ValueError(f"Unknown argument kind {kind} in call") return f"{callee}({', '.join(args)})" def _visit_ref_expr(self, node: NameExpr | MemberExpr) -> str: fullname = self.stubgen.get_fullname(node) if fullname in TYPING_BUILTIN_REPLACEMENTS: return self.stubgen.add_name(TYPING_BUILTIN_REPLACEMENTS[fullname], require=False) qualname = get_qualified_name(node) self.stubgen.import_tracker.require_name(qualname) return qualname def visit_name_expr(self, node: NameExpr) -> str: return self._visit_ref_expr(node) def visit_member_expr(self, o: MemberExpr) -> str: return self._visit_ref_expr(o) def _visit_literal_node( self, node: StrExpr | BytesExpr | IntExpr | FloatExpr | ComplexExpr ) -> str: return repr(node.value) def visit_str_expr(self, node: StrExpr) -> str: return self._visit_literal_node(node) def visit_bytes_expr(self, node: BytesExpr) -> str: return f"b{self._visit_literal_node(node)}" def visit_int_expr(self, node: IntExpr) -> str: return self._visit_literal_node(node) def visit_float_expr(self, node: FloatExpr) -> str: return self._visit_literal_node(node) def visit_complex_expr(self, node: ComplexExpr) -> str: return self._visit_literal_node(node) def visit_index_expr(self, node: IndexExpr) -> str: base_fullname = self.stubgen.get_fullname(node.base) if base_fullname == "typing.Union": if isinstance(node.index, TupleExpr): return " | ".join([item.accept(self) for item in node.index.items]) return node.index.accept(self) if base_fullname == "typing.Optional": if isinstance(node.index, TupleExpr): return self.stubgen.add_name("_typeshed.Incomplete") return f"{node.index.accept(self)} | None" base = node.base.accept(self) index = node.index.accept(self) if len(index) > 2 and index.startswith("(") and index.endswith(")"): index = index[1:-1].rstrip(",") return f"{base}[{index}]" def visit_tuple_expr(self, node: TupleExpr) -> str: suffix = "," if len(node.items) == 1 else "" return f"({', '.join(n.accept(self) for n in node.items)}{suffix})" def visit_list_expr(self, node: ListExpr) -> str: return f"[{', '.join(n.accept(self) for n in node.items)}]" def visit_set_expr(self, node: SetExpr) -> str: return f"{{{', '.join(n.accept(self) for n in node.items)}}}" def visit_dict_expr(self, o: DictExpr) -> str: dict_items = [] for key, value in o.items: # This is currently only used for TypedDict where all keys are strings. assert isinstance(key, StrExpr) dict_items.append(f"{key.accept(self)}: {value.accept(self)}") return f"{{{', '.join(dict_items)}}}" def visit_ellipsis(self, node: EllipsisExpr) -> str: return "..." def visit_op_expr(self, o: OpExpr) -> str: return f"{o.left.accept(self)} {o.op} {o.right.accept(self)}" def visit_unary_expr(self, o: UnaryExpr, /) -> str: return f"{o.op}{o.expr.accept(self)}" def visit_slice_expr(self, o: SliceExpr, /) -> str: blocks = [ o.begin_index.accept(self) if o.begin_index is not None else "", o.end_index.accept(self) if o.end_index is not None else "", ] if o.stride is not None: blocks.append(o.stride.accept(self)) return ":".join(blocks) def visit_star_expr(self, o: StarExpr) -> str: return f"*{o.expr.accept(self)}" def visit_lambda_expr(self, o: LambdaExpr) -> str: # TODO: Required for among other things dataclass.field default_factory return self.stubgen.add_name("_typeshed.Incomplete") def _visit_unsupported_expr(self, o: object) -> str: # Something we do not understand. return self.stubgen.add_name("_typeshed.Incomplete") def visit_comparison_expr(self, o: ComparisonExpr) -> str: return self._visit_unsupported_expr(o) def visit_cast_expr(self, o: CastExpr) -> str: return self._visit_unsupported_expr(o) def visit_conditional_expr(self, o: ConditionalExpr) -> str: return self._visit_unsupported_expr(o) def visit_list_comprehension(self, o: ListComprehension) -> str: return self._visit_unsupported_expr(o) def visit_set_comprehension(self, o: SetComprehension) -> str: return self._visit_unsupported_expr(o) def visit_dictionary_comprehension(self, o: DictionaryComprehension) -> str: return self._visit_unsupported_expr(o) def visit_generator_expr(self, o: GeneratorExpr) -> str: return self._visit_unsupported_expr(o) def find_defined_names(file: MypyFile) -> set[str]: finder = DefinitionFinder() file.accept(finder) return finder.names def get_assigned_names(lvalues: Iterable[Expression]) -> Iterator[str]: for lvalue in lvalues: if isinstance(lvalue, NameExpr): yield lvalue.name elif isinstance(lvalue, TupleExpr): yield from get_assigned_names(lvalue.items) class DefinitionFinder(mypy.traverser.TraverserVisitor): """Find names of things defined at the top level of a module.""" def __init__(self) -> None: # Short names of things defined at the top level. self.names: set[str] = set() def visit_class_def(self, o: ClassDef) -> None: # Don't recurse into classes, as we only keep track of top-level definitions. self.names.add(o.name) def visit_func_def(self, o: FuncDef) -> None: # Don't recurse, as we only keep track of top-level definitions. self.names.add(o.name) def visit_assignment_stmt(self, o: AssignmentStmt) -> None: for name in get_assigned_names(o.lvalues): self.names.add(name) def visit_type_alias_stmt(self, o: TypeAliasStmt) -> None: self.names.add(o.name.name) def find_referenced_names(file: MypyFile) -> set[str]: finder = ReferenceFinder() file.accept(finder) return finder.refs def is_none_expr(expr: Expression) -> bool: return isinstance(expr, NameExpr) and expr.name == "None" class ReferenceFinder(mypy.mixedtraverser.MixedTraverserVisitor): """Find all name references (both local and global).""" # TODO: Filter out local variable and class attribute references def __init__(self) -> None: # Short names of things defined at the top level. self.refs: set[str] = set() def visit_block(self, block: Block) -> None: if not block.is_unreachable: super().visit_block(block) def visit_name_expr(self, e: NameExpr) -> None: self.refs.add(e.name) def visit_instance(self, t: Instance) -> None: self.add_ref(t.type.name) super().visit_instance(t) def visit_unbound_type(self, t: UnboundType) -> None: if t.name: self.add_ref(t.name) def visit_tuple_type(self, t: TupleType) -> None: # Ignore fallback for item in t.items: item.accept(self) def visit_callable_type(self, t: CallableType) -> None: # Ignore fallback for arg in t.arg_types: arg.accept(self) t.ret_type.accept(self) def add_ref(self, fullname: str) -> None: self.refs.add(fullname) while "." in fullname: fullname = fullname.rsplit(".", 1)[0] self.refs.add(fullname) class ASTStubGenerator(BaseStubGenerator, mypy.traverser.TraverserVisitor): """Generate stub text from a mypy AST.""" def __init__( self, _all_: list[str] | None = None, include_private: bool = False, analyzed: bool = False, export_less: bool = False, include_docstrings: bool = False, ) -> None: super().__init__(_all_, include_private, export_less, include_docstrings) self._decorators: list[str] = [] # Stack of defined variables (per scope). self._vars: list[list[str]] = [[]] # What was generated previously in the stub file. self._state = EMPTY self._class_stack: list[ClassDef] = [] # Was the tree semantically analysed before? self.analyzed = analyzed # Short names of methods defined in the body of the current class self.method_names: set[str] = set() self.processing_enum = False self.processing_dataclass = False self.dataclass_field_specifier: tuple[str, ...] = () @property def _current_class(self) -> ClassDef | None: return self._class_stack[-1] if self._class_stack else None def visit_mypy_file(self, o: MypyFile) -> None: self.module_name = o.fullname # Current module being processed self.path = o.path self.set_defined_names(find_defined_names(o)) self.referenced_names = find_referenced_names(o) super().visit_mypy_file(o) self.check_undefined_names() def visit_overloaded_func_def(self, o: OverloadedFuncDef) -> None: """@property with setters and getters, @overload chain and some others.""" overload_chain = False for item in o.items: if not isinstance(item, Decorator): continue if self.is_private_name(item.func.name, item.func.fullname): continue self.process_decorator(item) if not overload_chain: self.visit_func_def(item.func) if item.func.is_overload: overload_chain = True elif item.func.is_overload: self.visit_func_def(item.func) else: # skip the overload implementation and clear the decorator we just processed self.clear_decorators() def get_default_function_sig(self, func_def: FuncDef, ctx: FunctionContext) -> FunctionSig: args = self._get_func_args(func_def, ctx) retname = self._get_func_return(func_def, ctx) type_args = self.format_type_args(func_def) return FunctionSig(func_def.name, args, retname, type_args) def _get_func_args(self, o: FuncDef, ctx: FunctionContext) -> list[ArgSig]: args: list[ArgSig] = [] # Ignore pos-only status of magic methods whose args names are elided by mypy at parse actually_pos_only_args = o.name not in MAGIC_METHODS_POS_ARGS_ONLY pos_only_marker_position = 0 # Where to insert "/", if any for i, arg_ in enumerate(o.arguments): var = arg_.variable kind = arg_.kind name = var.name annotated_type = ( o.unanalyzed_type.arg_types[i] if isinstance(o.unanalyzed_type, CallableType) else None ) # I think the name check is incorrect: there are libraries which # name their 0th argument other than self/cls is_self_arg = i == 0 and name == "self" is_cls_arg = i == 0 and name == "cls" typename: str | None = None if annotated_type and not is_self_arg and not is_cls_arg: # Luckily, an argument explicitly annotated with "Any" has # type "UnboundType" and will not match. if not isinstance(get_proper_type(annotated_type), AnyType): typename = self.print_annotation(annotated_type) if actually_pos_only_args and arg_.pos_only: pos_only_marker_position += 1 if kind.is_named() and not any(arg.name.startswith("*") for arg in args): args.append(ArgSig("*")) default = "..." if arg_.initializer: if not typename: typename = self.get_str_type_of_node(arg_.initializer, can_be_incomplete=False) potential_default, valid = self.get_str_default_of_node(arg_.initializer) if valid and len(potential_default) <= 200: default = potential_default elif kind == ARG_STAR: name = f"*{name}" elif kind == ARG_STAR2: name = f"**{name}" args.append( ArgSig(name, typename, default=bool(arg_.initializer), default_value=default) ) if pos_only_marker_position: args.insert(pos_only_marker_position, ArgSig("/")) if ctx.class_info is not None and all( arg.type is None and arg.default is False for arg in args ): new_args = infer_method_arg_types( ctx.name, ctx.class_info.self_var, [arg.name for arg in args] ) if ctx.name == "__exit__": self.import_tracker.add_import("types") self.import_tracker.require_name("types") if new_args is not None: args = new_args return args def _get_func_return(self, o: FuncDef, ctx: FunctionContext) -> str | None: if o.name != "__init__" and isinstance(o.unanalyzed_type, CallableType): if isinstance(get_proper_type(o.unanalyzed_type.ret_type), AnyType): # Luckily, a return type explicitly annotated with "Any" has # type "UnboundType" and will enter the else branch. return None # implicit Any else: return self.print_annotation(o.unanalyzed_type.ret_type) if o.abstract_status == IS_ABSTRACT or o.name in METHODS_WITH_RETURN_VALUE: # Always assume abstract methods return Any unless explicitly annotated. Also # some dunder methods should not have a None return type. return None # implicit Any retname = infer_method_ret_type(o.name) if retname is not None: return retname if has_yield_expression(o) or has_yield_from_expression(o): generator_name = self.add_name("collections.abc.Generator") yield_name = "None" send_name: str | None = None return_name: str | None = None if has_yield_from_expression(o): yield_name = send_name = self.add_name("_typeshed.Incomplete") else: for expr, in_assignment in all_yield_expressions(o): if expr.expr is not None and not is_none_expr(expr.expr): yield_name = self.add_name("_typeshed.Incomplete") if in_assignment: send_name = self.add_name("_typeshed.Incomplete") if has_return_statement(o): return_name = self.add_name("_typeshed.Incomplete") if return_name is not None: if send_name is None: send_name = "None" return f"{generator_name}[{yield_name}, {send_name}, {return_name}]" elif send_name is not None: return f"{generator_name}[{yield_name}, {send_name}]" else: return f"{generator_name}[{yield_name}]" if not has_return_statement(o) and o.abstract_status == NOT_ABSTRACT: return "None" return None def _get_func_docstring(self, node: FuncDef) -> str | None: if not node.body.body: return None expr = node.body.body[0] if isinstance(expr, ExpressionStmt) and isinstance(expr.expr, StrExpr): return expr.expr.value return None def visit_func_def(self, o: FuncDef) -> None: is_dataclass_generated = ( self.analyzed and self.processing_dataclass and o.info.names[o.name].plugin_generated ) if is_dataclass_generated: # Skip methods generated by the @dataclass decorator return if ( self.is_private_name(o.name, o.fullname) or self.is_not_in_all(o.name) or (self.is_recorded_name(o.name) and not o.is_overload) ): self.clear_decorators() return if self.is_top_level() and self._state not in (EMPTY, FUNC): self.add("\n") if not self.is_top_level(): self_inits = find_self_initializers(o) for init, value, annotation in self_inits: if init in self.method_names: # Can't have both an attribute and a method/property with the same name. continue init_code = self.get_init(init, value, annotation) if init_code: self.add(init_code) if self._class_stack: if len(o.arguments): self_var = o.arguments[0].variable.name else: self_var = "self" class_info: ClassInfo | None = None for class_def in self._class_stack: class_info = ClassInfo(class_def.name, self_var, parent=class_info) else: class_info = None ctx = FunctionContext( module_name=self.module_name, name=o.name, docstring=self._get_func_docstring(o), is_abstract=o.abstract_status != NOT_ABSTRACT, class_info=class_info, ) self.record_name(o.name) default_sig = self.get_default_function_sig(o, ctx) sigs = self.get_signatures(default_sig, self.sig_generators, ctx) for output in self.format_func_def( sigs, is_coroutine=o.is_coroutine, decorators=self._decorators, docstring=ctx.docstring ): self.add(output + "\n") self.clear_decorators() self._state = FUNC def visit_decorator(self, o: Decorator) -> None: if self.is_private_name(o.func.name, o.func.fullname): return self.process_decorator(o) self.visit_func_def(o.func) def process_decorator(self, o: Decorator) -> None: """Process a series of decorators. Only preserve certain special decorators such as @abstractmethod. """ o.func.is_overload = False for decorator in o.original_decorators: d = decorator if isinstance(d, CallExpr): d = d.callee if not isinstance(d, (NameExpr, MemberExpr)): continue qualname = get_qualified_name(d) fullname = self.get_fullname(d) if fullname in ( "builtins.property", "builtins.staticmethod", "builtins.classmethod", "functools.cached_property", ): self.add_decorator(qualname, require_name=True) elif fullname in ( "asyncio.coroutine", "asyncio.coroutines.coroutine", "types.coroutine", ): o.func.is_awaitable_coroutine = True self.add_decorator(qualname, require_name=True) elif fullname == "abc.abstractmethod": self.add_decorator(qualname, require_name=True) o.func.abstract_status = IS_ABSTRACT elif fullname in ( "abc.abstractproperty", "abc.abstractstaticmethod", "abc.abstractclassmethod", ): abc_module = qualname.rpartition(".")[0] if not abc_module: self.import_tracker.add_import("abc") builtin_decorator_replacement = fullname[len("abc.abstract") :] self.add_decorator(builtin_decorator_replacement, require_name=False) self.add_decorator(f"{abc_module or 'abc'}.abstractmethod", require_name=True) o.func.abstract_status = IS_ABSTRACT elif fullname in OVERLOAD_NAMES: self.add_decorator(qualname, require_name=True) o.func.is_overload = True elif qualname.endswith((".setter", ".deleter")): self.add_decorator(qualname, require_name=False) elif fullname in DATACLASS_TRANSFORM_NAMES: p = AliasPrinter(self) self._decorators.append(f"@{decorator.accept(p)}") elif isinstance(decorator, (NameExpr, MemberExpr)): p = AliasPrinter(self) self._decorators.append(f"@{decorator.accept(p)}") def get_fullname(self, expr: Expression) -> str: """Return the expression's full name.""" if ( self.analyzed and isinstance(expr, (NameExpr, MemberExpr)) and expr.fullname and not (isinstance(expr.node, Var) and expr.node.is_suppressed_import) ): return expr.fullname name = get_qualified_name(expr) return self.resolve_name(name) def visit_class_def(self, o: ClassDef) -> None: self._class_stack.append(o) self.method_names = find_method_names(o.defs.body) sep: int | None = None if self.is_top_level() and self._state != EMPTY: sep = len(self._output) self.add("\n") decorators = self.get_class_decorators(o) for d in decorators: self.add(f"{self._indent}@{d}\n") self.record_name(o.name) base_types = self.get_base_types(o) if base_types: for base in base_types: self.import_tracker.require_name(base) if self.analyzed and o.info.is_enum: self.processing_enum = True if isinstance(o.metaclass, (NameExpr, MemberExpr)): meta = o.metaclass.accept(AliasPrinter(self)) base_types.append("metaclass=" + meta) elif self.analyzed and o.info.is_abstract and not o.info.is_protocol: base_types.append("metaclass=abc.ABCMeta") self.import_tracker.add_import("abc") self.import_tracker.require_name("abc") bases = f"({', '.join(base_types)})" if base_types else "" type_args = self.format_type_args(o) self.add(f"{self._indent}class {o.name}{type_args}{bases}:\n") self.indent() if self._include_docstrings and o.docstring: docstring = mypy.util.quote_docstring(o.docstring) self.add(f"{self._indent}{docstring}\n") n = len(self._output) self._vars.append([]) if self.analyzed and (spec := find_dataclass_transform_spec(o)): self.processing_dataclass = True self.dataclass_field_specifier = spec.field_specifiers super().visit_class_def(o) self.dedent() self._vars.pop() self._vars[-1].append(o.name) if len(self._output) == n: if self._state == EMPTY_CLASS and sep is not None: self._output[sep] = "" if not (self._include_docstrings and o.docstring): self._output[-1] = self._output[-1][:-1] + " ...\n" self._state = EMPTY_CLASS else: self._state = CLASS self.method_names = set() self.processing_dataclass = False self.dataclass_field_specifier = () self._class_stack.pop(-1) self.processing_enum = False def get_base_types(self, cdef: ClassDef) -> list[str]: """Get list of base classes for a class.""" base_types: list[str] = [] p = AliasPrinter(self) for base in cdef.base_type_exprs + cdef.removed_base_type_exprs: if isinstance(base, (NameExpr, MemberExpr)): if self.get_fullname(base) != "builtins.object": base_types.append(get_qualified_name(base)) elif isinstance(base, IndexExpr): base_types.append(base.accept(p)) elif isinstance(base, CallExpr): # namedtuple(typename, fields), NamedTuple(typename, fields) calls can # be used as a base class. The first argument is a string literal that # is usually the same as the class name. # # Note: # A call-based named tuple as a base class cannot be safely converted to # a class-based NamedTuple definition because class attributes defined # in the body of the class inheriting from the named tuple call are not # namedtuple fields at runtime. if self.is_namedtuple(base): nt_fields = self._get_namedtuple_fields(base) assert isinstance(base.args[0], StrExpr) typename = base.args[0].value if nt_fields is None: # Invalid namedtuple() call, cannot determine fields base_types.append(self.add_name("_typeshed.Incomplete")) continue fields_str = ", ".join(f"({f!r}, {t})" for f, t in nt_fields) namedtuple_name = self.add_name("typing.NamedTuple") base_types.append(f"{namedtuple_name}({typename!r}, [{fields_str}])") elif self.is_typed_namedtuple(base): base_types.append(base.accept(p)) else: # At this point, we don't know what the base class is, so we # just use Incomplete as the base class. base_types.append(self.add_name("_typeshed.Incomplete")) for name, value in cdef.keywords.items(): if name == "metaclass": continue # handled separately processed_value = value.accept(p) or "..." # at least, don't crash base_types.append(f"{name}={processed_value}") return base_types def get_class_decorators(self, cdef: ClassDef) -> list[str]: decorators: list[str] = [] p = AliasPrinter(self) for d in cdef.decorators: if self.is_dataclass(d): decorators.append(d.accept(p)) self.import_tracker.require_name(get_qualified_name(d)) self.processing_dataclass = True if self.is_dataclass_transform(d): decorators.append(d.accept(p)) self.import_tracker.require_name(get_qualified_name(d)) return decorators def is_dataclass(self, expr: Expression) -> bool: if isinstance(expr, CallExpr): expr = expr.callee return self.get_fullname(expr) == "dataclasses.dataclass" def is_dataclass_transform(self, expr: Expression) -> bool: if isinstance(expr, CallExpr): expr = expr.callee if self.get_fullname(expr) in DATACLASS_TRANSFORM_NAMES: return True if (spec := find_dataclass_transform_spec(expr)) is not None: self.processing_dataclass = True self.dataclass_field_specifier = spec.field_specifiers return True return False def visit_block(self, o: Block) -> None: # Unreachable statements may be partially uninitialized and that may # cause trouble. if not o.is_unreachable: super().visit_block(o) def visit_assignment_stmt(self, o: AssignmentStmt) -> None: foundl = [] for lvalue in o.lvalues: if isinstance(lvalue, NameExpr) and isinstance(o.rvalue, CallExpr): if self.is_namedtuple(o.rvalue) or self.is_typed_namedtuple(o.rvalue): self.process_namedtuple(lvalue, o.rvalue) foundl.append(False) # state is updated in process_namedtuple continue if self.is_typeddict(o.rvalue): self.process_typeddict(lvalue, o.rvalue) foundl.append(False) # state is updated in process_typeddict continue if ( isinstance(lvalue, NameExpr) and self.is_alias_expression(o.rvalue) and not self.is_private_name(lvalue.name) ): is_explicit_type_alias = ( o.unanalyzed_type and getattr(o.type, "name", None) == "TypeAlias" ) if is_explicit_type_alias: self.process_typealias(lvalue, o.rvalue, is_explicit_type_alias=True) continue if not o.unanalyzed_type: self.process_typealias(lvalue, o.rvalue) continue if isinstance(lvalue, (TupleExpr, ListExpr)): items = lvalue.items if isinstance(o.unanalyzed_type, TupleType): # type: ignore[misc] annotations: Iterable[Type | None] = o.unanalyzed_type.items else: annotations = [None] * len(items) else: items = [lvalue] annotations = [o.unanalyzed_type] sep = False found = False for item, annotation in zip(items, annotations): if isinstance(item, NameExpr): init = self.get_init(item.name, o.rvalue, annotation) if init: found = True if not sep and self.is_top_level() and self._state not in (EMPTY, VAR): init = "\n" + init sep = True self.add(init) self.record_name(item.name) foundl.append(found) if all(foundl): self._state = VAR def is_namedtuple(self, expr: CallExpr) -> bool: return self.get_fullname(expr.callee) == "collections.namedtuple" def is_typed_namedtuple(self, expr: CallExpr) -> bool: return self.get_fullname(expr.callee) in TYPED_NAMEDTUPLE_NAMES def _get_namedtuple_fields(self, call: CallExpr) -> list[tuple[str, str]] | None: if self.is_namedtuple(call): fields_arg = call.args[1] if isinstance(fields_arg, StrExpr): field_names = fields_arg.value.replace(",", " ").split() elif isinstance(fields_arg, (ListExpr, TupleExpr)): field_names = [] for field in fields_arg.items: if not isinstance(field, StrExpr): return None field_names.append(field.value) else: return None # Invalid namedtuple fields type if field_names: incomplete = self.add_name("_typeshed.Incomplete") return [(field_name, incomplete) for field_name in field_names] else: return [] elif self.is_typed_namedtuple(call): fields_arg = call.args[1] if not isinstance(fields_arg, (ListExpr, TupleExpr)): return None fields: list[tuple[str, str]] = [] p = AliasPrinter(self) for field in fields_arg.items: if not (isinstance(field, TupleExpr) and len(field.items) == 2): return None field_name, field_type = field.items if not isinstance(field_name, StrExpr): return None fields.append((field_name.value, field_type.accept(p))) return fields else: return None # Not a named tuple call def process_namedtuple(self, lvalue: NameExpr, rvalue: CallExpr) -> None: if self._state == CLASS: self.add("\n") if not isinstance(rvalue.args[0], StrExpr): self.annotate_as_incomplete(lvalue) return fields = self._get_namedtuple_fields(rvalue) if fields is None: self.annotate_as_incomplete(lvalue) return bases = self.add_name("typing.NamedTuple") # TODO: Add support for generic NamedTuples. Requires `Generic` as base class. class_def = f"{self._indent}class {lvalue.name}({bases}):" if len(fields) == 0: self.add(f"{class_def} ...\n") self._state = EMPTY_CLASS else: if self._state not in (EMPTY, CLASS): self.add("\n") self.add(f"{class_def}\n") for f_name, f_type in fields: self.add(f"{self._indent} {f_name}: {f_type}\n") self._state = CLASS def is_typeddict(self, expr: CallExpr) -> bool: return self.get_fullname(expr.callee) in TPDICT_NAMES def process_typeddict(self, lvalue: NameExpr, rvalue: CallExpr) -> None: if self._state == CLASS: self.add("\n") if not isinstance(rvalue.args[0], StrExpr): self.annotate_as_incomplete(lvalue) return items: list[tuple[str, Expression]] = [] total: Expression | None = None if len(rvalue.args) > 1 and rvalue.arg_kinds[1] == ARG_POS: if not isinstance(rvalue.args[1], DictExpr): self.annotate_as_incomplete(lvalue) return for attr_name, attr_type in rvalue.args[1].items: if not isinstance(attr_name, StrExpr): self.annotate_as_incomplete(lvalue) return items.append((attr_name.value, attr_type)) if len(rvalue.args) > 2: if rvalue.arg_kinds[2] != ARG_NAMED or rvalue.arg_names[2] != "total": self.annotate_as_incomplete(lvalue) return total = rvalue.args[2] else: for arg_name, arg in zip(rvalue.arg_names[1:], rvalue.args[1:]): if not isinstance(arg_name, str): self.annotate_as_incomplete(lvalue) return if arg_name == "total": total = arg else: items.append((arg_name, arg)) p = AliasPrinter(self) if any(not key.isidentifier() or keyword.iskeyword(key) for key, _ in items): # Keep the call syntax if there are non-identifier or reserved keyword keys. self.add(f"{self._indent}{lvalue.name} = {rvalue.accept(p)}\n") self._state = VAR else: bases = self.add_name("typing_extensions.TypedDict") # TODO: Add support for generic TypedDicts. Requires `Generic` as base class. if total is not None: bases += f", total={total.accept(p)}" class_def = f"{self._indent}class {lvalue.name}({bases}):" if len(items) == 0: self.add(f"{class_def} ...\n") self._state = EMPTY_CLASS else: if self._state not in (EMPTY, CLASS): self.add("\n") self.add(f"{class_def}\n") for key, key_type in items: self.add(f"{self._indent} {key}: {key_type.accept(p)}\n") self._state = CLASS def annotate_as_incomplete(self, lvalue: NameExpr) -> None: incomplete = self.add_name("_typeshed.Incomplete") self.add(f"{self._indent}{lvalue.name}: {incomplete}\n") self._state = VAR def is_alias_expression(self, expr: Expression, top_level: bool = True) -> bool: """Return True for things that look like target for an alias. Used to know if assignments look like type aliases, function alias, or module alias. """ # Assignment of TypeVar(...) and other typevar-likes are passed through if isinstance(expr, CallExpr) and self.get_fullname(expr.callee) in TYPE_VAR_LIKE_NAMES: return True elif isinstance(expr, EllipsisExpr): return not top_level elif isinstance(expr, NameExpr): if expr.name in ("True", "False"): return False elif expr.name == "None": return not top_level else: return not self.is_private_name(expr.name) elif isinstance(expr, MemberExpr) and self.analyzed: # Also add function and module aliases. return ( top_level and isinstance(expr.node, (FuncDef, Decorator, MypyFile)) or isinstance(expr.node, TypeInfo) ) and not self.is_private_member(expr.node.fullname) elif isinstance(expr, IndexExpr) and ( (isinstance(expr.base, NameExpr) and not self.is_private_name(expr.base.name)) or ( # Also some known aliases that could be member expression isinstance(expr.base, MemberExpr) and not self.is_private_member(get_qualified_name(expr.base)) and self.get_fullname(expr.base).startswith( ("builtins.", "typing.", "typing_extensions.", "collections.abc.") ) ) ): if isinstance(expr.index, TupleExpr): indices = expr.index.items else: indices = [expr.index] if expr.base.name == "Callable" and len(indices) == 2: args, ret = indices if isinstance(args, EllipsisExpr): indices = [ret] elif isinstance(args, ListExpr): indices = args.items + [ret] else: return False return all(self.is_alias_expression(i, top_level=False) for i in indices) elif isinstance(expr, OpExpr) and expr.op == "|": return self.is_alias_expression( expr.left, top_level=False ) and self.is_alias_expression(expr.right, top_level=False) else: return False def process_typealias( self, lvalue: NameExpr, rvalue: Expression, is_explicit_type_alias: bool = False ) -> None: p = AliasPrinter(self) if is_explicit_type_alias: self.import_tracker.require_name("TypeAlias") self.add(f"{self._indent}{lvalue.name}: TypeAlias = {rvalue.accept(p)}\n") else: self.add(f"{self._indent}{lvalue.name} = {rvalue.accept(p)}\n") self.record_name(lvalue.name) self._vars[-1].append(lvalue.name) def visit_type_alias_stmt(self, o: TypeAliasStmt) -> None: """Type aliases defined with the `type` keyword (PEP 695).""" p = AliasPrinter(self) name = o.name.name rvalue = o.value.expr() type_args = self.format_type_args(o) self.add(f"{self._indent}type {name}{type_args} = {rvalue.accept(p)}\n") self.record_name(name) self._vars[-1].append(name) def visit_if_stmt(self, o: IfStmt) -> None: # Ignore if __name__ == '__main__'. expr = o.expr[0] if ( isinstance(expr, ComparisonExpr) and isinstance(expr.operands[0], NameExpr) and isinstance(expr.operands[1], StrExpr) and expr.operands[0].name == "__name__" and "__main__" in expr.operands[1].value ): return super().visit_if_stmt(o) def visit_import_all(self, o: ImportAll) -> None: self.add_import_line(f"from {'.' * o.relative}{o.id} import *\n") def visit_import_from(self, o: ImportFrom) -> None: exported_names: set[str] = set() import_names = [] module, relative = translate_module_name(o.id, o.relative) if self.module_name: full_module, ok = mypy.util.correct_relative_import( self.module_name, relative, module, self.path.endswith(".__init__.py") ) if not ok: full_module = module else: full_module = module if module == "__future__": return # Not preserved for name, as_name in o.names: if name == "six": # Vendored six -- translate into plain 'import six'. self.visit_import(Import([("six", None)])) continue if self.should_reexport(name, full_module, as_name is not None): self.import_tracker.reexport(name) as_name = name import_names.append((name, as_name)) self.import_tracker.add_import_from("." * relative + module, import_names) self._vars[-1].extend(alias or name for name, alias in import_names) for name, alias in import_names: self.record_name(alias or name) if self._all_: # Include "import from"s that import names defined in __all__. names = [ name for name, alias in o.names if name in self._all_ and alias is None and name not in self.IGNORED_DUNDERS ] exported_names.update(names) def visit_import(self, o: Import) -> None: for id, as_id in o.ids: self.import_tracker.add_import(id, as_id) if as_id is None: target_name = id.split(".")[0] else: target_name = as_id self._vars[-1].append(target_name) self.record_name(target_name) def get_init( self, lvalue: str, rvalue: Expression, annotation: Type | None = None ) -> str | None: """Return initializer for a variable. Return None if we've generated one already or if the variable is internal. """ if lvalue in self._vars[-1]: # We've generated an initializer already for this variable. return None # TODO: Only do this at module top level. if self.is_private_name(lvalue) or self.is_not_in_all(lvalue): return None self._vars[-1].append(lvalue) if annotation is not None: typename = self.print_annotation(annotation) if ( isinstance(annotation, UnboundType) and not annotation.args and annotation.name == "Final" and self.import_tracker.module_for.get("Final") in self.TYPING_MODULE_NAMES ): # Final without type argument is invalid in stubs. final_arg = self.get_str_type_of_node(rvalue) typename += f"[{final_arg}]" elif self.processing_enum: initializer, _ = self.get_str_default_of_node(rvalue) return f"{self._indent}{lvalue} = {initializer}\n" elif self.processing_dataclass: # attribute without annotation is not a dataclass field, don't add annotation. return f"{self._indent}{lvalue} = ...\n" else: typename = self.get_str_type_of_node(rvalue) initializer = self.get_assign_initializer(rvalue) return f"{self._indent}{lvalue}: {typename}{initializer}\n" def get_assign_initializer(self, rvalue: Expression) -> str: """Does this rvalue need some special initializer value?""" if not self._current_class: return "" # Current rules # 1. Return `...` if we are dealing with `NamedTuple` or `dataclass` field and # it has an existing default value if ( self._current_class.info and self._current_class.info.is_named_tuple and not isinstance(rvalue, TempNode) ): return " = ..." if self.processing_dataclass: if isinstance(rvalue, CallExpr): fullname = self.get_fullname(rvalue.callee) if fullname in (self.dataclass_field_specifier or DATACLASS_FIELD_SPECIFIERS): p = AliasPrinter(self) return f" = {rvalue.accept(p)}" if not (isinstance(rvalue, TempNode) and rvalue.no_rhs): return " = ..." # TODO: support other possible cases, where initializer is important # By default, no initializer is required: return "" def add_decorator(self, name: str, require_name: bool = False) -> None: if require_name: self.import_tracker.require_name(name) self._decorators.append(f"@{name}") def clear_decorators(self) -> None: self._decorators.clear() def is_private_member(self, fullname: str) -> bool: parts = fullname.split(".") return any(self.is_private_name(part) for part in parts) def get_str_type_of_node(self, rvalue: Expression, *, can_be_incomplete: bool = True) -> str: rvalue = self.maybe_unwrap_unary_expr(rvalue) if isinstance(rvalue, IntExpr): return "int" if isinstance(rvalue, StrExpr): return "str" if isinstance(rvalue, BytesExpr): return "bytes" if isinstance(rvalue, FloatExpr): return "float" if isinstance(rvalue, ComplexExpr): # 1j return "complex" if isinstance(rvalue, OpExpr) and rvalue.op in ("-", "+"): # -1j + 1 if isinstance(self.maybe_unwrap_unary_expr(rvalue.left), ComplexExpr) or isinstance( self.maybe_unwrap_unary_expr(rvalue.right), ComplexExpr ): return "complex" if isinstance(rvalue, NameExpr) and rvalue.name in ("True", "False"): return "bool" if can_be_incomplete: return self.add_name("_typeshed.Incomplete") else: return "" def maybe_unwrap_unary_expr(self, expr: Expression) -> Expression: """Unwrap (possibly nested) unary expressions. But, some unary expressions can change the type of expression. While we want to preserve it. For example, `~True` is `int`. So, we only allow a subset of unary expressions to be unwrapped. """ if not isinstance(expr, UnaryExpr): return expr # First, try to unwrap `[+-]+ (int|float|complex)` expr: math_ops = ("+", "-") if expr.op in math_ops: while isinstance(expr, UnaryExpr): if expr.op not in math_ops or not isinstance( expr.expr, (IntExpr, FloatExpr, ComplexExpr, UnaryExpr) ): break expr = expr.expr return expr # Next, try `not bool` expr: if expr.op == "not": while isinstance(expr, UnaryExpr): if expr.op != "not" or not isinstance(expr.expr, (NameExpr, UnaryExpr)): break if isinstance(expr.expr, NameExpr) and expr.expr.name not in ("True", "False"): break expr = expr.expr return expr # This is some other unary expr, we cannot do anything with it (yet?). return expr def get_str_default_of_node(self, rvalue: Expression) -> tuple[str, bool]: """Get a string representation of the default value of a node. Returns a 2-tuple of the default and whether or not it is valid. """ if isinstance(rvalue, NameExpr): if rvalue.name in ("None", "True", "False"): return rvalue.name, True elif isinstance(rvalue, (IntExpr, FloatExpr)): return f"{rvalue.value}", True elif isinstance(rvalue, UnaryExpr): if isinstance(rvalue.expr, (IntExpr, FloatExpr)): return f"{rvalue.op}{rvalue.expr.value}", True elif isinstance(rvalue, StrExpr): return repr(rvalue.value), True elif isinstance(rvalue, BytesExpr): return "b" + repr(rvalue.value).replace("\\\\", "\\"), True elif isinstance(rvalue, TupleExpr): items_defaults = [] for e in rvalue.items: e_default, valid = self.get_str_default_of_node(e) if not valid: break items_defaults.append(e_default) else: closing = ",)" if len(items_defaults) == 1 else ")" default = "(" + ", ".join(items_defaults) + closing return default, True elif isinstance(rvalue, ListExpr): items_defaults = [] for e in rvalue.items: e_default, valid = self.get_str_default_of_node(e) if not valid: break items_defaults.append(e_default) else: default = "[" + ", ".join(items_defaults) + "]" return default, True elif isinstance(rvalue, SetExpr): items_defaults = [] for e in rvalue.items: e_default, valid = self.get_str_default_of_node(e) if not valid: break items_defaults.append(e_default) else: if items_defaults: default = "{" + ", ".join(items_defaults) + "}" return default, True elif isinstance(rvalue, DictExpr): items_defaults = [] for k, v in rvalue.items: if k is None: break k_default, k_valid = self.get_str_default_of_node(k) v_default, v_valid = self.get_str_default_of_node(v) if not (k_valid and v_valid): break items_defaults.append(f"{k_default}: {v_default}") else: default = "{" + ", ".join(items_defaults) + "}" return default, True return "...", False def should_reexport(self, name: str, full_module: str, name_is_alias: bool) -> bool: is_private = self.is_private_name(name, full_module + "." + name) if ( not name_is_alias and name not in self.referenced_names and (not self._all_ or name in self.IGNORED_DUNDERS) and not is_private and full_module not in ("abc", "asyncio") + self.TYPING_MODULE_NAMES ): # An imported name that is never referenced in the module is assumed to be # exported, unless there is an explicit __all__. Note that we need to special # case 'abc' since some references are deleted during semantic analysis. return True return super().should_reexport(name, full_module, name_is_alias) def find_method_names(defs: list[Statement]) -> set[str]: # TODO: Traverse into nested definitions result = set() for defn in defs: if isinstance(defn, FuncDef): result.add(defn.name) elif isinstance(defn, Decorator): result.add(defn.func.name) elif isinstance(defn, OverloadedFuncDef): for item in defn.items: result.update(find_method_names([item])) return result class SelfTraverser(mypy.traverser.TraverserVisitor): def __init__(self) -> None: self.results: list[tuple[str, Expression, Type | None]] = [] def visit_assignment_stmt(self, o: AssignmentStmt) -> None: lvalue = o.lvalues[0] if ( isinstance(lvalue, MemberExpr) and isinstance(lvalue.expr, NameExpr) and lvalue.expr.name == "self" ): self.results.append((lvalue.name, o.rvalue, o.unanalyzed_type)) def find_self_initializers(fdef: FuncBase) -> list[tuple[str, Expression, Type | None]]: """Find attribute initializers in a method. Return a list of pairs (attribute name, r.h.s. expression). """ traverser = SelfTraverser() fdef.accept(traverser) return traverser.results def get_qualified_name(o: Expression) -> str: if isinstance(o, NameExpr): return o.name elif isinstance(o, MemberExpr): return f"{get_qualified_name(o.expr)}.{o.name}" else: return ERROR_MARKER def remove_blacklisted_modules(modules: list[StubSource]) -> list[StubSource]: return [ module for module in modules if module.path is None or not is_blacklisted_path(module.path) ] def split_pyc_from_py(modules: list[StubSource]) -> tuple[list[StubSource], list[StubSource]]: py_modules = [] pyc_modules = [] for mod in modules: if is_pyc_only(mod.path): pyc_modules.append(mod) else: py_modules.append(mod) return pyc_modules, py_modules def is_blacklisted_path(path: str) -> bool: return any(substr in (normalize_path_separators(path) + "\n") for substr in BLACKLIST) def normalize_path_separators(path: str) -> str: return path.replace("\\", "/") if sys.platform == "win32" else path def collect_build_targets( options: Options, mypy_opts: MypyOptions ) -> tuple[list[StubSource], list[StubSource], list[StubSource]]: """Collect files for which we need to generate stubs. Return list of py modules, pyc modules, and C modules. """ if options.packages or options.modules: if options.no_import: py_modules = find_module_paths_using_search( options.modules, options.packages, options.search_path, options.pyversion ) c_modules: list[StubSource] = [] else: # Using imports is the default, since we can also find C modules. py_modules, c_modules = find_module_paths_using_imports( options.modules, options.packages, options.verbose, options.quiet ) else: # Use mypy native source collection for files and directories. try: source_list = create_source_list(options.files, mypy_opts) except InvalidSourceList as e: raise SystemExit(str(e)) from e py_modules = [StubSource(m.module, m.path) for m in source_list] c_modules = [] py_modules = remove_blacklisted_modules(py_modules) pyc_mod, py_mod = split_pyc_from_py(py_modules) return py_mod, pyc_mod, c_modules def find_module_paths_using_imports( modules: list[str], packages: list[str], verbose: bool, quiet: bool ) -> tuple[list[StubSource], list[StubSource]]: """Find path and runtime value of __all__ (if possible) for modules and packages. This function uses runtime Python imports to get the information. """ with ModuleInspect() as inspect: py_modules: list[StubSource] = [] c_modules: list[StubSource] = [] found = list(walk_packages(inspect, packages, verbose)) modules = modules + found modules = [ mod for mod in modules if not is_non_library_module(mod) ] # We don't want to run any tests or scripts for mod in modules: try: result = find_module_path_and_all_py3(inspect, mod, verbose) except CantImport as e: tb = traceback.format_exc() if verbose: sys.stderr.write(tb) if not quiet: report_missing(mod, e.message, tb) continue if not result: c_modules.append(StubSource(mod)) else: path, runtime_all = result py_modules.append(StubSource(mod, path, runtime_all)) return py_modules, c_modules def is_non_library_module(module: str) -> bool: """Does module look like a test module or a script?""" if module.endswith( ( ".tests", ".test", ".testing", "_tests", "_test_suite", "test_util", "test_utils", "test_base", ".__main__", ".conftest", # Used by pytest ".setup", # Typically an install script ) ): return True if module.split(".")[-1].startswith("test_"): return True if ( ".tests." in module or ".test." in module or ".testing." in module or ".SelfTest." in module ): return True return False def translate_module_name(module: str, relative: int) -> tuple[str, int]: for pkg in VENDOR_PACKAGES: for alt in "six.moves", "six": substr = f"{pkg}.{alt}" if module.endswith("." + substr) or (module == substr and relative): return alt, 0 if "." + substr + "." in module: return alt + "." + module.partition("." + substr + ".")[2], 0 return module, relative def find_module_paths_using_search( modules: list[str], packages: list[str], search_path: list[str], pyversion: tuple[int, int] ) -> list[StubSource]: """Find sources for modules and packages requested. This function just looks for source files at the file system level. This is used if user passes --no-import, and will not find C modules. Exit if some of the modules or packages can't be found. """ result: list[StubSource] = [] typeshed_path = default_lib_path(mypy.build.default_data_dir(), pyversion, None) search_paths = SearchPaths((".",) + tuple(search_path), (), (), tuple(typeshed_path)) cache = FindModuleCache(search_paths, fscache=None, options=None) for module in modules: m_result = cache.find_module(module) if isinstance(m_result, ModuleNotFoundReason): fail_missing(module, m_result) module_path = None else: module_path = m_result result.append(StubSource(module, module_path)) for package in packages: p_result = cache.find_modules_recursive(package) if p_result: fail_missing(package, ModuleNotFoundReason.NOT_FOUND) sources = [StubSource(m.module, m.path) for m in p_result] result.extend(sources) result = [m for m in result if not is_non_library_module(m.module)] return result def mypy_options(stubgen_options: Options) -> MypyOptions: """Generate mypy options using the flag passed by user.""" options = MypyOptions() options.follow_imports = "skip" options.incremental = False options.ignore_errors = True options.semantic_analysis_only = True options.python_version = stubgen_options.pyversion options.show_traceback = True options.transform_source = remove_misplaced_type_comments options.preserve_asts = True options.include_docstrings = stubgen_options.include_docstrings # Override cache_dir if provided in the environment environ_cache_dir = os.getenv("MYPY_CACHE_DIR", "") if environ_cache_dir.strip(): options.cache_dir = environ_cache_dir options.cache_dir = os.path.expanduser(options.cache_dir) return options def parse_source_file(mod: StubSource, mypy_options: MypyOptions) -> None: """Parse a source file. On success, store AST in the corresponding attribute of the stub source. If there are syntax errors, print them and exit. """ assert mod.path is not None, "Not found module was not skipped" with open(mod.path, "rb") as f: data = f.read() source = mypy.util.decode_python_encoding(data) errors = Errors(mypy_options) mod.ast = mypy.parse.parse( source, fnam=mod.path, module=mod.module, errors=errors, options=mypy_options ) mod.ast._fullname = mod.module if errors.is_blockers(): # Syntax error! for m in errors.new_messages(): sys.stderr.write(f"{m}\n") sys.exit(1) def generate_asts_for_modules( py_modules: list[StubSource], parse_only: bool, mypy_options: MypyOptions, verbose: bool ) -> None: """Use mypy to parse (and optionally analyze) source files.""" if not py_modules: return # Nothing to do here, but there may be C modules if verbose: print(f"Processing {len(py_modules)} files...") if parse_only: for mod in py_modules: parse_source_file(mod, mypy_options) return # Perform full semantic analysis of the source set. try: res = build([module.source for module in py_modules], mypy_options) except CompileError as e: raise SystemExit(f"Critical error during semantic analysis: {e}") from e for mod in py_modules: mod.ast = res.graph[mod.module].tree # Use statically inferred __all__ if there is no runtime one. if mod.runtime_all is None: mod.runtime_all = res.manager.semantic_analyzer.export_map[mod.module] def generate_stub_for_py_module( mod: StubSource, target: str, *, parse_only: bool = False, inspect: bool = False, include_private: bool = False, export_less: bool = False, include_docstrings: bool = False, doc_dir: str = "", all_modules: list[str], ) -> None: """Use analysed (or just parsed) AST to generate type stub for single file. If directory for target doesn't exist it will created. Existing stub will be overwritten. """ if inspect: ngen = InspectionStubGenerator( module_name=mod.module, known_modules=all_modules, _all_=mod.runtime_all, doc_dir=doc_dir, include_private=include_private, export_less=export_less, include_docstrings=include_docstrings, ) ngen.generate_module() output = ngen.output() else: gen = ASTStubGenerator( mod.runtime_all, include_private=include_private, analyzed=not parse_only, export_less=export_less, include_docstrings=include_docstrings, ) assert mod.ast is not None, "This function must be used only with analyzed modules" mod.ast.accept(gen) output = gen.output() # Write output to file. subdir = os.path.dirname(target) if subdir and not os.path.isdir(subdir): os.makedirs(subdir) with open(target, "w", encoding="utf-8") as file: file.write(output) def generate_stubs(options: Options) -> None: """Main entry point for the program.""" mypy_opts = mypy_options(options) py_modules, pyc_modules, c_modules = collect_build_targets(options, mypy_opts) all_modules = py_modules + pyc_modules + c_modules all_module_names = sorted(m.module for m in all_modules) # Use parsed sources to generate stubs for Python modules. generate_asts_for_modules(py_modules, options.parse_only, mypy_opts, options.verbose) files = [] for mod in py_modules + pyc_modules: assert mod.path is not None, "Not found module was not skipped" target = mod.module.replace(".", "/") if os.path.basename(mod.path) in ["__init__.py", "__init__.pyc"]: target += "/__init__.pyi" else: target += ".pyi" target = os.path.join(options.output_dir, target) files.append(target) with generate_guarded(mod.module, target, options.ignore_errors, options.verbose): generate_stub_for_py_module( mod, target, parse_only=options.parse_only, inspect=options.inspect or mod in pyc_modules, include_private=options.include_private, export_less=options.export_less, include_docstrings=options.include_docstrings, doc_dir=options.doc_dir, all_modules=all_module_names, ) # Separately analyse C modules using different logic. for mod in c_modules: if any(py_mod.module.startswith(mod.module + ".") for py_mod in all_modules): target = mod.module.replace(".", "/") + "/__init__.pyi" else: target = mod.module.replace(".", "/") + ".pyi" target = os.path.join(options.output_dir, target) files.append(target) with generate_guarded(mod.module, target, options.ignore_errors, options.verbose): generate_stub_for_c_module( mod.module, target, known_modules=all_module_names, doc_dir=options.doc_dir, include_private=options.include_private, export_less=options.export_less, include_docstrings=options.include_docstrings, ) num_modules = len(all_modules) if not options.quiet and num_modules > 0: print("Processed %d modules" % num_modules) if len(files) == 1: print(f"Generated {files[0]}") else: print(f"Generated files under {common_dir_prefix(files)}" + os.sep) HEADER = """%(prog)s [-h] [more options, see -h] [-m MODULE] [-p PACKAGE] [files ...]""" DESCRIPTION = """ Generate draft stubs for modules. Stubs are generated in directory ./out, to avoid overriding files with manual changes. This directory is assumed to exist. """ def parse_options(args: list[str]) -> Options: parser = argparse.ArgumentParser( prog="stubgen", usage=HEADER, description=DESCRIPTION, fromfile_prefix_chars="@" ) parser.add_argument( "--ignore-errors", action="store_true", help="ignore errors when trying to generate stubs for modules", ) parser.add_argument( "--no-import", action="store_true", help="don't import the modules, just parse and analyze them " "(doesn't work with C extension modules and might not " "respect __all__)", ) parser.add_argument( "--no-analysis", "--parse-only", dest="parse_only", action="store_true", help="don't perform semantic analysis of sources, just parse them " "(only applies to Python modules, might affect quality of stubs. " "Not compatible with --inspect-mode)", ) parser.add_argument( "--inspect-mode", dest="inspect", action="store_true", help="import and inspect modules instead of parsing source code." "This is the default behavior for c modules and pyc-only packages, but " "it is also useful for pure python modules with dynamically generated members.", ) parser.add_argument( "--include-private", action="store_true", help="generate stubs for objects and members considered private " "(single leading underscore and no trailing underscores)", ) parser.add_argument( "--export-less", action="store_true", help="don't implicitly export all names imported from other modules in the same package", ) parser.add_argument( "--include-docstrings", action="store_true", help="include existing docstrings with the stubs", ) parser.add_argument("-v", "--verbose", action="store_true", help="show more verbose messages") parser.add_argument("-q", "--quiet", action="store_true", help="show fewer messages") parser.add_argument( "--doc-dir", metavar="PATH", default="", help="use .rst documentation in PATH (this may result in " "better stubs in some cases; consider setting this to " "DIR/Python-X.Y.Z/Doc/library)", ) parser.add_argument( "--search-path", metavar="PATH", default="", help="specify module search directories, separated by ':' " "(currently only used if --no-import is given)", ) parser.add_argument( "-o", "--output", metavar="PATH", dest="output_dir", default="out", help="change the output directory [default: %(default)s]", ) parser.add_argument( "-m", "--module", action="append", metavar="MODULE", dest="modules", default=[], help="generate stub for module; can repeat for more modules", ) parser.add_argument( "-p", "--package", action="append", metavar="PACKAGE", dest="packages", default=[], help="generate stubs for package recursively; can be repeated", ) parser.add_argument( metavar="files", nargs="*", dest="files", help="generate stubs for given files or directories", ) parser.add_argument( "--version", action="version", version="%(prog)s " + mypy.version.__version__ ) ns = parser.parse_args(args) pyversion = sys.version_info[:2] ns.interpreter = sys.executable if ns.modules + ns.packages and ns.files: parser.error("May only specify one of: modules/packages or files.") if ns.quiet and ns.verbose: parser.error("Cannot specify both quiet and verbose messages") if ns.inspect and ns.parse_only: parser.error("Cannot specify both --parse-only/--no-analysis and --inspect-mode") # Create the output folder if it doesn't already exist. os.makedirs(ns.output_dir, exist_ok=True) return Options( pyversion=pyversion, no_import=ns.no_import, inspect=ns.inspect, doc_dir=ns.doc_dir, search_path=ns.search_path.split(":"), interpreter=ns.interpreter, ignore_errors=ns.ignore_errors, parse_only=ns.parse_only, include_private=ns.include_private, output_dir=ns.output_dir, modules=ns.modules, packages=ns.packages, files=ns.files, verbose=ns.verbose, quiet=ns.quiet, export_less=ns.export_less, include_docstrings=ns.include_docstrings, ) def main(args: list[str] | None = None) -> None: mypy.util.check_python_version("stubgen") # Make sure that the current directory is in sys.path so that # stubgen can be run on packages in the current directory. if not ("" in sys.path or "." in sys.path): sys.path.insert(0, "") options = parse_options(sys.argv[1:] if args is None else args) generate_stubs(options) if __name__ == "__main__": main() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/stubgenc.py0000755000175100017510000011454115112307767015452 0ustar00runnerrunner#!/usr/bin/env python3 """Stub generator for C modules. The public interface is via the mypy.stubgen module. """ from __future__ import annotations import enum import glob import importlib import inspect import keyword import os.path from collections.abc import Mapping from types import FunctionType, ModuleType from typing import Any, Callable from mypy.fastparse import parse_type_comment from mypy.moduleinspect import is_c_module from mypy.stubdoc import ( ArgSig, FunctionSig, Sig, find_unique_signatures, infer_arg_sig_from_anon_docstring, infer_prop_type_from_docstring, infer_ret_type_sig_from_anon_docstring, infer_ret_type_sig_from_docstring, infer_sig_from_docstring, parse_all_signatures, ) from mypy.stubutil import ( BaseStubGenerator, ClassInfo, FunctionContext, SignatureGenerator, infer_method_arg_types, infer_method_ret_type, ) from mypy.util import quote_docstring class ExternalSignatureGenerator(SignatureGenerator): def __init__( self, func_sigs: dict[str, str] | None = None, class_sigs: dict[str, str] | None = None ) -> None: """ Takes a mapping of function/method names to signatures and class name to class signatures (usually corresponds to __init__). """ self.func_sigs = func_sigs or {} self.class_sigs = class_sigs or {} @classmethod def from_doc_dir(cls, doc_dir: str) -> ExternalSignatureGenerator: """Instantiate from a directory of .rst files.""" all_sigs: list[Sig] = [] all_class_sigs: list[Sig] = [] for path in glob.glob(f"{doc_dir}/*.rst"): with open(path) as f: loc_sigs, loc_class_sigs = parse_all_signatures(f.readlines()) all_sigs += loc_sigs all_class_sigs += loc_class_sigs sigs = dict(find_unique_signatures(all_sigs)) class_sigs = dict(find_unique_signatures(all_class_sigs)) return ExternalSignatureGenerator(sigs, class_sigs) def get_function_sig( self, default_sig: FunctionSig, ctx: FunctionContext ) -> list[FunctionSig] | None: # method: if ( ctx.class_info and ctx.name in ("__new__", "__init__") and ctx.name not in self.func_sigs and ctx.class_info.name in self.class_sigs ): return [ FunctionSig( name=ctx.name, args=infer_arg_sig_from_anon_docstring(self.class_sigs[ctx.class_info.name]), ret_type=infer_method_ret_type(ctx.name), ) ] # function: if ctx.name not in self.func_sigs: return None inferred = [ FunctionSig( name=ctx.name, args=infer_arg_sig_from_anon_docstring(self.func_sigs[ctx.name]), ret_type=None, ) ] if ctx.class_info: return self.remove_self_type(inferred, ctx.class_info.self_var) else: return inferred def get_property_type(self, default_type: str | None, ctx: FunctionContext) -> str | None: return None class DocstringSignatureGenerator(SignatureGenerator): def get_function_sig( self, default_sig: FunctionSig, ctx: FunctionContext ) -> list[FunctionSig] | None: inferred = infer_sig_from_docstring(ctx.docstring, ctx.name) if inferred: assert ctx.docstring is not None if is_pybind11_overloaded_function_docstring(ctx.docstring, ctx.name): # Remove pybind11 umbrella (*args, **kwargs) for overloaded functions del inferred[-1] if ctx.class_info: if not inferred and ctx.name == "__init__": # look for class-level constructor signatures of the form () inferred = infer_sig_from_docstring(ctx.class_info.docstring, ctx.class_info.name) if inferred: inferred = [sig._replace(name="__init__") for sig in inferred] return self.remove_self_type(inferred, ctx.class_info.self_var) else: return inferred def get_property_type(self, default_type: str | None, ctx: FunctionContext) -> str | None: """Infer property type from docstring or docstring signature.""" if ctx.docstring is not None: inferred = infer_ret_type_sig_from_anon_docstring(ctx.docstring) if inferred: return inferred inferred = infer_ret_type_sig_from_docstring(ctx.docstring, ctx.name) if inferred: return inferred inferred = infer_prop_type_from_docstring(ctx.docstring) return inferred else: return None def is_pybind11_overloaded_function_docstring(docstring: str, name: str) -> bool: return docstring.startswith(f"{name}(*args, **kwargs)\nOverloaded function.\n\n") def generate_stub_for_c_module( module_name: str, target: str, known_modules: list[str], doc_dir: str = "", *, include_private: bool = False, export_less: bool = False, include_docstrings: bool = False, ) -> None: """Generate stub for C module. Signature generators are called in order until a list of signatures is returned. The order is: - signatures inferred from .rst documentation (if given) - simple runtime introspection (looking for docstrings and attributes with simple builtin types) - fallback based special method names or "(*args, **kwargs)" If directory for target doesn't exist it will be created. Existing stub will be overwritten. """ subdir = os.path.dirname(target) if subdir and not os.path.isdir(subdir): os.makedirs(subdir) gen = InspectionStubGenerator( module_name, known_modules, doc_dir, include_private=include_private, export_less=export_less, include_docstrings=include_docstrings, ) gen.generate_module() output = gen.output() with open(target, "w", encoding="utf-8") as file: file.write(output) class CFunctionStub: """ Class that mimics a C function in order to provide parseable docstrings. """ def __init__(self, name: str, doc: str, is_abstract: bool = False) -> None: self.__name__ = name self.__doc__ = doc self.__abstractmethod__ = is_abstract @classmethod def _from_sig(cls, sig: FunctionSig, is_abstract: bool = False) -> CFunctionStub: return CFunctionStub(sig.name, sig.format_sig()[:-4], is_abstract) @classmethod def _from_sigs(cls, sigs: list[FunctionSig], is_abstract: bool = False) -> CFunctionStub: return CFunctionStub( sigs[0].name, "\n".join(sig.format_sig()[:-4] for sig in sigs), is_abstract ) def __get__(self) -> None: # noqa: PLE0302 """ This exists to make this object look like a method descriptor and thus return true for CStubGenerator.ismethod() """ pass _Missing = enum.Enum("_Missing", "VALUE") class InspectionStubGenerator(BaseStubGenerator): """Stub generator that does not parse code. Generation is performed by inspecting the module's contents, and thus works for highly dynamic modules, pyc files, and C modules (via the CStubGenerator subclass). """ def __init__( self, module_name: str, known_modules: list[str], doc_dir: str = "", _all_: list[str] | None = None, include_private: bool = False, export_less: bool = False, include_docstrings: bool = False, module: ModuleType | None = None, ) -> None: self.doc_dir = doc_dir if module is None: self.module = importlib.import_module(module_name) else: self.module = module self.is_c_module = is_c_module(self.module) self.known_modules = known_modules self.resort_members = self.is_c_module super().__init__(_all_, include_private, export_less, include_docstrings) self.module_name = module_name if self.is_c_module: # Add additional implicit imports. # C-extensions are given more latitude since they do not import the typing module. self.known_imports.update( { "typing": [ "Any", "Callable", "ClassVar", "Dict", "Iterable", "Iterator", "List", "Literal", "NamedTuple", "Optional", "Tuple", "Union", ] } ) def get_default_function_sig(self, func: object, ctx: FunctionContext) -> FunctionSig: argspec = None if not self.is_c_module: # Get the full argument specification of the function try: argspec = inspect.getfullargspec(func) except TypeError: # some callables cannot be inspected, e.g. functools.partial pass if argspec is None: if ctx.class_info is not None: # method: return FunctionSig( name=ctx.name, args=infer_c_method_args(ctx.name, ctx.class_info.self_var), ret_type=infer_method_ret_type(ctx.name), ) else: # function: return FunctionSig( name=ctx.name, args=[ArgSig(name="*args"), ArgSig(name="**kwargs")], ret_type=None, ) # Extract the function arguments, defaults, and varargs args = argspec.args defaults = argspec.defaults varargs = argspec.varargs kwargs = argspec.varkw annotations = argspec.annotations kwonlyargs = argspec.kwonlyargs kwonlydefaults = argspec.kwonlydefaults def get_annotation(key: str) -> str | None: if key not in annotations: return None argtype = annotations[key] if argtype is None: return "None" if not isinstance(argtype, str): return self.get_type_fullname(argtype) return argtype arglist: list[ArgSig] = [] # Add the arguments to the signature def add_args( args: list[str], get_default_value: Callable[[int, str], object | _Missing] ) -> None: for i, arg in enumerate(args): # Check if the argument has a default value default_value = get_default_value(i, arg) if default_value is not _Missing.VALUE: if arg in annotations: argtype = get_annotation(arg) else: argtype = self.get_type_annotation(default_value) if argtype == "None": # None is not a useful annotation, but we can infer that the arg # is optional incomplete = self.add_name("_typeshed.Incomplete") argtype = f"{incomplete} | None" arglist.append(ArgSig(arg, argtype, default=True)) else: arglist.append(ArgSig(arg, get_annotation(arg), default=False)) def get_pos_default(i: int, _arg: str) -> Any | _Missing: if defaults and i >= len(args) - len(defaults): return defaults[i - (len(args) - len(defaults))] else: return _Missing.VALUE add_args(args, get_pos_default) # Add *args if present if varargs: arglist.append(ArgSig(f"*{varargs}", get_annotation(varargs))) # if we have keyword only args, then we need to add "*" elif kwonlyargs: arglist.append(ArgSig("*")) def get_kw_default(_i: int, arg: str) -> Any | _Missing: if kwonlydefaults and arg in kwonlydefaults: return kwonlydefaults[arg] else: return _Missing.VALUE add_args(kwonlyargs, get_kw_default) # Add **kwargs if present if kwargs: arglist.append(ArgSig(f"**{kwargs}", get_annotation(kwargs))) # add types for known special methods if ctx.class_info is not None and all( arg.type is None and arg.default is False for arg in arglist ): new_args = infer_method_arg_types( ctx.name, ctx.class_info.self_var, [arg.name for arg in arglist if arg.name] ) if new_args is not None: arglist = new_args ret_type = get_annotation("return") or infer_method_ret_type(ctx.name) return FunctionSig(ctx.name, arglist, ret_type) def get_sig_generators(self) -> list[SignatureGenerator]: if not self.is_c_module: return [] else: sig_generators: list[SignatureGenerator] = [DocstringSignatureGenerator()] if self.doc_dir: # Collect info from docs (if given). Always check these first. sig_generators.insert(0, ExternalSignatureGenerator.from_doc_dir(self.doc_dir)) return sig_generators def strip_or_import(self, type_name: str) -> str: """Strips unnecessary module names from typ. If typ represents a type that is inside module or is a type coming from builtins, remove module declaration from it. Return stripped name of the type. Arguments: typ: name of the type """ local_modules = ["builtins", self.module_name] parsed_type = parse_type_comment(type_name, 0, 0, None)[1] assert parsed_type is not None, type_name return self.print_annotation(parsed_type, self.known_modules, local_modules) def get_obj_module(self, obj: object) -> str | None: """Return module name of the object.""" return getattr(obj, "__module__", None) def is_defined_in_module(self, obj: object) -> bool: """Check if object is considered defined in the current module.""" module = self.get_obj_module(obj) return module is None or module == self.module_name def generate_module(self) -> None: all_items = self.get_members(self.module) if self.resort_members: all_items = sorted(all_items, key=lambda x: x[0]) items = [] for name, obj in all_items: if inspect.ismodule(obj) and obj.__name__ in self.known_modules: module_name = obj.__name__ if module_name.startswith(self.module_name + "."): # from {.rel_name} import {mod_name} as {name} pkg_name, mod_name = module_name.rsplit(".", 1) rel_module = pkg_name[len(self.module_name) :] or "." self.import_tracker.add_import_from(rel_module, [(mod_name, name)]) self.import_tracker.reexport(name) else: # import {module_name} as {name} self.import_tracker.add_import(module_name, name) self.import_tracker.reexport(name) elif self.is_defined_in_module(obj) and not inspect.ismodule(obj): # process this below items.append((name, obj)) else: # from {obj_module} import {obj_name} obj_module_name = self.get_obj_module(obj) if obj_module_name: self.import_tracker.add_import_from(obj_module_name, [(name, None)]) if self.should_reexport(name, obj_module_name, name_is_alias=False): self.import_tracker.reexport(name) self.set_defined_names({name for name, obj in all_items if not inspect.ismodule(obj)}) if self.resort_members: functions: list[str] = [] types: list[str] = [] variables: list[str] = [] else: output: list[str] = [] functions = types = variables = output for name, obj in items: if self.is_function(obj): self.generate_function_stub(name, obj, output=functions) elif inspect.isclass(obj): self.generate_class_stub(name, obj, output=types) else: self.generate_variable_stub(name, obj, output=variables) self._output = [] if self.resort_members: for line in variables: self._output.append(line + "\n") for line in types: if line.startswith("class") and self._output and self._output[-1]: self._output.append("\n") self._output.append(line + "\n") if self._output and functions: self._output.append("\n") for line in functions: self._output.append(line + "\n") else: for i, line in enumerate(output): if ( self._output and line.startswith("class") and ( not self._output[-1].startswith("class") or (len(output) > i + 1 and output[i + 1].startswith(" ")) ) ) or ( self._output and self._output[-1].startswith("def") and not line.startswith("def") ): self._output.append("\n") self._output.append(line + "\n") self.check_undefined_names() def is_skipped_attribute(self, attr: str) -> bool: return ( attr in ( "__class__", "__getattribute__", "__str__", "__repr__", "__doc__", "__dict__", "__module__", "__weakref__", "__annotations__", "__firstlineno__", "__static_attributes__", "__annotate__", ) or attr in self.IGNORED_DUNDERS or is_pybind_skipped_attribute(attr) # For pickling or keyword.iskeyword(attr) ) def get_members(self, obj: object) -> list[tuple[str, Any]]: obj_dict: Mapping[str, Any] = getattr(obj, "__dict__") # noqa: B009 results = [] for name in obj_dict: if self.is_skipped_attribute(name): continue # Try to get the value via getattr try: value = getattr(obj, name) except AttributeError: continue else: results.append((name, value)) return results def get_type_annotation(self, obj: object) -> str: """ Given an instance, return a string representation of its type that is valid to use as a type annotation. """ if obj is None or obj is type(None): return "None" elif inspect.isclass(obj): return f"type[{self.get_type_fullname(obj)}]" elif isinstance(obj, FunctionType): return self.add_name("typing.Callable") elif isinstance(obj, ModuleType): return self.add_name("types.ModuleType", require=False) else: return self.get_type_fullname(type(obj)) def is_function(self, obj: object) -> bool: if self.is_c_module: return inspect.isbuiltin(obj) else: return inspect.isfunction(obj) def is_method(self, class_info: ClassInfo, name: str, obj: object) -> bool: if self.is_c_module: return inspect.ismethoddescriptor(obj) or type(obj) in ( type(str.index), type(str.__add__), type(str.__new__), ) else: # this is valid because it is only called on members of a class return inspect.isfunction(obj) def is_classmethod(self, class_info: ClassInfo, name: str, obj: object) -> bool: if self.is_c_module: return inspect.isbuiltin(obj) or type(obj).__name__ in ( "classmethod", "classmethod_descriptor", ) else: return inspect.ismethod(obj) def is_staticmethod(self, class_info: ClassInfo | None, name: str, obj: object) -> bool: if class_info is None: return False elif self.is_c_module: raw_lookup: Mapping[str, Any] = getattr(class_info.cls, "__dict__") # noqa: B009 raw_value = raw_lookup.get(name, obj) return isinstance(raw_value, staticmethod) else: return isinstance(inspect.getattr_static(class_info.cls, name), staticmethod) @staticmethod def is_abstract_method(obj: object) -> bool: return getattr(obj, "__abstractmethod__", False) @staticmethod def is_property(class_info: ClassInfo, name: str, obj: object) -> bool: return inspect.isdatadescriptor(obj) or hasattr(obj, "fget") @staticmethod def is_property_readonly(prop: Any) -> bool: return hasattr(prop, "fset") and prop.fset is None def is_static_property(self, obj: object) -> bool: """For c-modules, whether the property behaves like an attribute""" if self.is_c_module: # StaticProperty is from boost-python return type(obj).__name__ in ("pybind11_static_property", "StaticProperty") else: return False def process_inferred_sigs(self, inferred: list[FunctionSig]) -> None: for i, sig in enumerate(inferred): for arg in sig.args: if arg.type is not None: arg.type = self.strip_or_import(arg.type) if sig.ret_type is not None: inferred[i] = sig._replace(ret_type=self.strip_or_import(sig.ret_type)) def generate_function_stub( self, name: str, obj: object, *, output: list[str], class_info: ClassInfo | None = None ) -> None: """Generate stub for a single function or method. The result (always a single line) will be appended to 'output'. If necessary, any required names will be added to 'imports'. The 'class_name' is used to find signature of __init__ or __new__ in 'class_sigs'. """ docstring: Any = getattr(obj, "__doc__", None) if not isinstance(docstring, str): docstring = None ctx = FunctionContext( self.module_name, name, docstring=docstring, is_abstract=self.is_abstract_method(obj), class_info=class_info, ) if self.is_private_name(name, ctx.fullname) or self.is_not_in_all(name): return self.record_name(ctx.name) default_sig = self.get_default_function_sig(obj, ctx) inferred = self.get_signatures(default_sig, self.sig_generators, ctx) self.process_inferred_sigs(inferred) decorators = [] if len(inferred) > 1: decorators.append("@{}".format(self.add_name("typing.overload"))) if ctx.is_abstract: decorators.append("@{}".format(self.add_name("abc.abstractmethod"))) if class_info is not None: if self.is_staticmethod(class_info, name, obj): decorators.append("@staticmethod") else: for sig in inferred: if not sig.args or sig.args[0].name not in ("self", "cls"): sig.args.insert(0, ArgSig(name=class_info.self_var)) # a sig generator indicates @classmethod by specifying the cls arg. if inferred[0].args and inferred[0].args[0].name == "cls": decorators.append("@classmethod") docstring = self._indent_docstring(ctx.docstring) if ctx.docstring else None output.extend(self.format_func_def(inferred, decorators=decorators, docstring=docstring)) self._fix_iter(ctx, inferred, output) def _indent_docstring(self, docstring: str) -> str: """Fix indentation of docstring extracted from pybind11 or other binding generators.""" lines = docstring.splitlines(keepends=True) indent = self._indent + " " if len(lines) > 1: if not all(line.startswith(indent) or not line.strip() for line in lines): # if the docstring is not indented, then indent all but the first line for i, line in enumerate(lines[1:]): if line.strip(): lines[i + 1] = indent + line # if there's a trailing newline, add a final line to visually indent the quoted docstring if lines[-1].endswith("\n"): if len(lines) > 1: lines.append(indent) else: lines[-1] = lines[-1][:-1] return "".join(lines) def _fix_iter( self, ctx: FunctionContext, inferred: list[FunctionSig], output: list[str] ) -> None: """Ensure that objects which implement old-style iteration via __getitem__ are considered iterable. """ if ( ctx.class_info and ctx.class_info.cls is not None and ctx.name == "__getitem__" and "__iter__" not in ctx.class_info.cls.__dict__ ): item_type: str | None = None for sig in inferred: if sig.args and sig.args[-1].type == "int": item_type = sig.ret_type break if item_type is None: return obj = CFunctionStub( "__iter__", f"def __iter__(self) -> typing.Iterator[{item_type}]\n" ) self.generate_function_stub("__iter__", obj, output=output, class_info=ctx.class_info) def generate_property_stub( self, name: str, raw_obj: object, obj: object, static_properties: list[str], rw_properties: list[str], ro_properties: list[str], class_info: ClassInfo | None = None, ) -> None: """Generate property stub using introspection of 'obj'. Try to infer type from docstring, append resulting lines to 'output'. raw_obj : object before evaluation of descriptor (if any) obj : object after evaluation of descriptor """ docstring = getattr(raw_obj, "__doc__", None) fget = getattr(raw_obj, "fget", None) if fget: alt_docstr = getattr(fget, "__doc__", None) if alt_docstr and docstring: docstring += "\n" + alt_docstr elif alt_docstr: docstring = alt_docstr ctx = FunctionContext( self.module_name, name, docstring=docstring, is_abstract=False, class_info=class_info ) if self.is_private_name(name, ctx.fullname) or self.is_not_in_all(name): return self.record_name(ctx.name) static = self.is_static_property(raw_obj) readonly = self.is_property_readonly(raw_obj) if static: ret_type: str | None = self.strip_or_import(self.get_type_annotation(obj)) else: default_sig = self.get_default_function_sig(raw_obj, ctx) ret_type = default_sig.ret_type inferred_type = self.get_property_type(ret_type, self.sig_generators, ctx) if inferred_type is not None: inferred_type = self.strip_or_import(inferred_type) if static: classvar = self.add_name("typing.ClassVar") trailing_comment = " # read-only" if readonly else "" if inferred_type is None: inferred_type = self.add_name("_typeshed.Incomplete") static_properties.append( f"{self._indent}{name}: {classvar}[{inferred_type}] = ...{trailing_comment}" ) else: # regular property if readonly: docstring = self._indent_docstring(ctx.docstring) if ctx.docstring else None ro_properties.append(f"{self._indent}@property") sig = FunctionSig(name, [ArgSig("self")], inferred_type, docstring=docstring) ro_properties.append( sig.format_sig( indent=self._indent, include_docstrings=self._include_docstrings ) ) else: if inferred_type is None: inferred_type = self.add_name("_typeshed.Incomplete") rw_properties.append(f"{self._indent}{name}: {inferred_type}") def get_type_fullname(self, typ: type) -> str: """Given a type, return a string representation""" if typ is Any: return "Any" typename = getattr(typ, "__qualname__", typ.__name__) module_name = self.get_obj_module(typ) if module_name is None: # This should not normally happen, but some types may resist our # introspection attempts too hard. See # https://github.com/python/mypy/issues/19031 return "_typeshed.Incomplete" if module_name != "builtins": typename = f"{module_name}.{typename}" return typename def get_base_types(self, obj: type) -> list[str]: all_bases = type.mro(obj) if all_bases[-1] is object: # TODO: Is this always object? del all_bases[-1] # remove pybind11_object. All classes generated by pybind11 have pybind11_object in their MRO, # which only overrides a few functions in object type if all_bases and all_bases[-1].__name__ == "pybind11_object": del all_bases[-1] # remove the class itself all_bases = all_bases[1:] # Remove base classes of other bases as redundant. bases: list[type] = [] for base in all_bases: if not any(issubclass(b, base) for b in bases): bases.append(base) return [self.strip_or_import(self.get_type_fullname(base)) for base in bases] def generate_class_stub( self, class_name: str, cls: type, output: list[str], parent_class: ClassInfo | None = None ) -> None: """Generate stub for a single class using runtime introspection. The result lines will be appended to 'output'. If necessary, any required names will be added to 'imports'. """ raw_lookup: Mapping[str, Any] = getattr(cls, "__dict__") # noqa: B009 items = self.get_members(cls) if self.resort_members: items = sorted(items, key=lambda x: method_name_sort_key(x[0])) names = {x[0] for x in items} methods: list[str] = [] types: list[str] = [] static_properties: list[str] = [] rw_properties: list[str] = [] ro_properties: list[str] = [] attrs: list[tuple[str, Any]] = [] self.record_name(class_name) self.indent() class_info = ClassInfo( class_name, "", getattr(cls, "__doc__", None), cls, parent=parent_class ) for attr, value in items: # use unevaluated descriptors when dealing with property inspection raw_value = raw_lookup.get(attr, value) if self.is_method(class_info, attr, value) or self.is_classmethod( class_info, attr, value ): if attr == "__new__": # TODO: We should support __new__. if "__init__" in names: # Avoid duplicate functions if both are present. # But is there any case where .__new__() has a # better signature than __init__() ? continue attr = "__init__" # FIXME: make this nicer if self.is_staticmethod(class_info, attr, value): class_info.self_var = "" elif self.is_classmethod(class_info, attr, value): class_info.self_var = "cls" else: class_info.self_var = "self" self.generate_function_stub(attr, value, output=methods, class_info=class_info) elif self.is_property(class_info, attr, raw_value): self.generate_property_stub( attr, raw_value, value, static_properties, rw_properties, ro_properties, class_info, ) elif inspect.isclass(value) and self.is_defined_in_module(value): self.generate_class_stub(attr, value, types, parent_class=class_info) else: attrs.append((attr, value)) for attr, value in attrs: if attr == "__hash__" and value is None: # special case for __hash__ continue prop_type_name = self.strip_or_import(self.get_type_annotation(value)) classvar = self.add_name("typing.ClassVar") static_properties.append(f"{self._indent}{attr}: {classvar}[{prop_type_name}] = ...") self.dedent() bases = self.get_base_types(cls) if bases: bases_str = "(%s)" % ", ".join(bases) else: bases_str = "" if class_info.docstring and self._include_docstrings: doc = quote_docstring(self._indent_docstring(class_info.docstring)) doc = f" {self._indent}{doc}" docstring = doc.splitlines(keepends=False) else: docstring = [] if docstring or types or static_properties or rw_properties or methods or ro_properties: output.append(f"{self._indent}class {class_name}{bases_str}:") output.extend(docstring) for line in types: if ( output and output[-1] and not output[-1].strip().startswith("class") and line.strip().startswith("class") ): output.append("") output.append(line) output.extend(static_properties) output.extend(rw_properties) output.extend(methods) output.extend(ro_properties) else: output.append(f"{self._indent}class {class_name}{bases_str}: ...") def generate_variable_stub(self, name: str, obj: object, output: list[str]) -> None: """Generate stub for a single variable using runtime introspection. The result lines will be appended to 'output'. If necessary, any required names will be added to 'imports'. """ if self.is_private_name(name, f"{self.module_name}.{name}") or self.is_not_in_all(name): return self.record_name(name) type_str = self.strip_or_import(self.get_type_annotation(obj)) output.append(f"{name}: {type_str}") def method_name_sort_key(name: str) -> tuple[int, str]: """Sort methods in classes in a typical order. I.e.: constructor, normal methods, special methods. """ if name in ("__new__", "__init__"): return 0, name if name.startswith("__") and name.endswith("__"): return 2, name return 1, name def is_pybind_skipped_attribute(attr: str) -> bool: return attr.startswith("__pybind11_module_local_") def infer_c_method_args( name: str, self_var: str = "self", arg_names: list[str] | None = None ) -> list[ArgSig]: args: list[ArgSig] | None = None if name.startswith("__") and name.endswith("__"): name = name[2:-2] if name in ( "hash", "iter", "next", "sizeof", "copy", "deepcopy", "reduce", "getinitargs", "int", "float", "trunc", "complex", "bool", "abs", "bytes", "dir", "len", "reversed", "round", "index", "enter", ): args = [] elif name == "getitem": args = [ArgSig(name="index")] elif name == "setitem": args = [ArgSig(name="index"), ArgSig(name="object")] elif name in ("delattr", "getattr"): args = [ArgSig(name="name")] elif name == "setattr": args = [ArgSig(name="name"), ArgSig(name="value")] elif name == "getstate": args = [] elif name == "setstate": args = [ArgSig(name="state")] elif name in ("eq", "ne", "lt", "le", "gt", "ge"): args = [ArgSig(name="other", type="object")] elif name in ( "add", "radd", "sub", "rsub", "mul", "rmul", "mod", "rmod", "floordiv", "rfloordiv", "truediv", "rtruediv", "divmod", "rdivmod", "pow", "rpow", "xor", "rxor", "or", "ror", "and", "rand", "lshift", "rlshift", "rshift", "rrshift", "contains", "delitem", "iadd", "iand", "ifloordiv", "ilshift", "imod", "imul", "ior", "ipow", "irshift", "isub", "itruediv", "ixor", ): args = [ArgSig(name="other")] elif name in ("neg", "pos", "invert"): args = [] elif name == "get": args = [ArgSig(name="instance"), ArgSig(name="owner")] elif name == "set": args = [ArgSig(name="instance"), ArgSig(name="value")] elif name == "reduce_ex": args = [ArgSig(name="protocol")] elif name == "exit": args = [ ArgSig(name="type", type="type[BaseException] | None"), ArgSig(name="value", type="BaseException | None"), ArgSig(name="traceback", type="types.TracebackType | None"), ] if args is None: args = infer_method_arg_types(name, self_var, arg_names) else: args = [ArgSig(name=self_var)] + args if args is None: args = [ArgSig(name="*args"), ArgSig(name="**kwargs")] return args ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/stubinfo.py0000644000175100017510000002606715112307767015473 0ustar00runnerrunnerfrom __future__ import annotations def is_module_from_legacy_bundled_package(module: str) -> bool: top_level = module.split(".", 1)[0] return top_level in legacy_bundled_packages def stub_distribution_name(module: str) -> str | None: top_level = module.split(".", 1)[0] dist = legacy_bundled_packages.get(top_level) if dist: return dist dist = non_bundled_packages_flat.get(top_level) if dist: return dist if top_level in non_bundled_packages_namespace: namespace = non_bundled_packages_namespace[top_level] components = module.split(".") for i in range(len(components), 0, -1): module = ".".join(components[:i]) dist = namespace.get(module) if dist: return dist return None # Stubs for these third-party packages used to be shipped with mypy. # # Map package name to PyPI stub distribution name. legacy_bundled_packages: dict[str, str] = { "aiofiles": "types-aiofiles", "bleach": "types-bleach", "cachetools": "types-cachetools", "click_spinner": "types-click-spinner", "croniter": "types-croniter", "dateparser": "types-dateparser", "dateutil": "types-python-dateutil", "decorator": "types-decorator", "deprecated": "types-Deprecated", "docutils": "types-docutils", "first": "types-first", "markdown": "types-Markdown", "mock": "types-mock", "paramiko": "types-paramiko", "polib": "types-polib", "pycurl": "types-pycurl", "pymysql": "types-PyMySQL", "pyrfc3339": "types-pyRFC3339", "pytz": "types-pytz", "requests": "types-requests", "retry": "types-retry", "simplejson": "types-simplejson", "singledispatch": "types-singledispatch", "six": "types-six", "tabulate": "types-tabulate", "toml": "types-toml", "ujson": "types-ujson", "waitress": "types-waitress", "yaml": "types-PyYAML", } # Map package name to PyPI stub distribution name from typeshed. # Stubs for these packages were never bundled with mypy. Don't # include packages that have a release that includes PEP 561 type # information. # # Note that these packages are omitted for now: # pika: typeshed's stubs are on PyPI as types-pika-ts. # types-pika already exists on PyPI, and is more complete in many ways, # but is a non-typeshed stubs package. non_bundled_packages_flat: dict[str, str] = { "_cffi_backend": "types-cffi", "_jsonnet": "types-jsonnet", "_win32typing": "types-pywin32", "antlr4": "types-antlr4-python3-runtime", "assertpy": "types-assertpy", "auth0": "types-auth0-python", "authlib": "types-Authlib", "aws_xray_sdk": "types-aws-xray-sdk", "binaryornot": "types-binaryornot", "boltons": "types-boltons", "braintree": "types-braintree", "bugbear": "types-flake8-bugbear", "capturer": "types-capturer", "cffi": "types-cffi", "channels": "types-channels", "chevron": "types-chevron", "click_default_group": "types-click-default-group", "click_log": "types-click-log", "click_shell": "types-click-shell", "click_web": "types-click-web", "colorama": "types-colorama", "commctrl": "types-pywin32", "consolemenu": "types-console-menu", "convertdate": "types-convertdate", "cronlog": "types-python-crontab", "crontab": "types-python-crontab", "crontabs": "types-python-crontab", "dateparser_data": "types-dateparser", "dde": "types-pywin32", "defusedxml": "types-defusedxml", "dirhash": "types-dirhash", "django_filters": "types-django-filter", "docker": "types-docker", "dockerfile_parse": "types-dockerfile-parse", "editdistance": "types-editdistance", "entrypoints": "types-entrypoints", "exifread": "types-ExifRead", "fanstatic": "types-fanstatic", "farmhash": "types-pyfarmhash", "flake8_builtins": "types-flake8-builtins", "flake8_docstrings": "types-flake8-docstrings", "flake8_rst_docstrings": "types-flake8-rst-docstrings", "flake8_simplify": "types-flake8-simplify", "flake8_typing_imports": "types-flake8-typing-imports", "flake8": "types-flake8", "flask_cors": "types-Flask-Cors", "flask_migrate": "types-Flask-Migrate", "flask_socketio": "types-Flask-SocketIO", "fpdf": "types-fpdf2", "gdb": "types-gdb", "geopandas": "types-geopandas", "gevent": "types-gevent", "greenlet": "types-greenlet", "grpc_channelz": "types-grpcio-channelz", "grpc_health": "types-grpcio-health-checking", "grpc_reflection": "types-grpcio-reflection", "grpc_status": "types-grpcio-status", "grpc": "types-grpcio", "hdbcli": "types-hdbcli", "hnswlib": "types-hnswlib", "html5lib": "types-html5lib", "httplib2": "types-httplib2", "hvac": "types-hvac", "ibm_db": "types-ibm-db", "icalendar": "types-icalendar", "import_export": "types-django-import-export", "inifile": "types-inifile", "isapi": "types-pywin32", "jack": "types-JACK-Client", "jenkins": "types-python-jenkins", "Jetson": "types-Jetson.GPIO", "jks": "types-pyjks", "jmespath": "types-jmespath", "jose": "types-python-jose", "jsonschema": "types-jsonschema", "jwcrypto": "types-jwcrypto", "keyboard": "types-keyboard", "ldap3": "types-ldap3", "lunardate": "types-lunardate", "lupa": "types-lupa", "lzstring": "types-lzstring", "m3u8": "types-m3u8", "management": "types-django-import-export", "mmapfile": "types-pywin32", "mmsystem": "types-pywin32", "mypy_extensions": "types-mypy-extensions", "MySQLdb": "types-mysqlclient", "nanoid": "types-nanoid", "nanoleafapi": "types-nanoleafapi", "netaddr": "types-netaddr", "netifaces": "types-netifaces", "networkx": "types-networkx", "nmap": "types-python-nmap", "ntsecuritycon": "types-pywin32", "oauthlib": "types-oauthlib", "objgraph": "types-objgraph", "odbc": "types-pywin32", "olefile": "types-olefile", "openpyxl": "types-openpyxl", "opentracing": "types-opentracing", "parsimonious": "types-parsimonious", "passlib": "types-passlib", "passpy": "types-passpy", "peewee": "types-peewee", "pep8ext_naming": "types-pep8-naming", "perfmon": "types-pywin32", "pexpect": "types-pexpect", "playhouse": "types-peewee", "pony": "types-pony", "portpicker": "types-portpicker", "psutil": "types-psutil", "psycopg2": "types-psycopg2", "pyasn1": "types-pyasn1", "pyaudio": "types-pyaudio", "pyautogui": "types-PyAutoGUI", "pycocotools": "types-pycocotools", "pyflakes": "types-pyflakes", "pygments": "types-Pygments", "pyi_splash": "types-pyinstaller", "PyInstaller": "types-pyinstaller", "pyluach": "types-pyluach", "pymeeus": "types-PyMeeus", "pynput": "types-pynput", "pyperclip": "types-pyperclip", "pyscreeze": "types-PyScreeze", "pysftp": "types-pysftp", "pytest_lazyfixture": "types-pytest-lazy-fixture", "python_http_client": "types-python-http-client", "pythoncom": "types-pywin32", "pythonwin": "types-pywin32", "pywintypes": "types-pywin32", "qrbill": "types-qrbill", "qrcode": "types-qrcode", "ratelimit": "types-ratelimit", "regex": "types-regex", "regutil": "types-pywin32", "reportlab": "types-reportlab", "requests_oauthlib": "types-requests-oauthlib", "rfc3339_validator": "types-rfc3339-validator", "RPi": "types-RPi.GPIO", "s2clientprotocol": "types-s2clientprotocol", "sass": "types-libsass", "sassutils": "types-libsass", "seaborn": "types-seaborn", "send2trash": "types-Send2Trash", "serial": "types-pyserial", "servicemanager": "types-pywin32", "setuptools": "types-setuptools", "shapely": "types-shapely", "slumber": "types-slumber", "socks": "types-PySocks", "sockshandler": "types-PySocks", "sspicon": "types-pywin32", "str2bool": "types-str2bool", "tensorflow": "types-tensorflow", "tgcrypto": "types-TgCrypto", "timer": "types-pywin32", "toposort": "types-toposort", "tqdm": "types-tqdm", "translationstring": "types-translationstring", "ttkthemes": "types-ttkthemes", "unidiff": "types-unidiff", "untangle": "types-untangle", "usersettings": "types-usersettings", "uwsgi": "types-uWSGI", "uwsgidecorators": "types-uWSGI", "vobject": "types-vobject", "watchpoints": "types-watchpoints", "webob": "types-WebOb", "whatthepatch": "types-whatthepatch", "win2kras": "types-pywin32", "win32": "types-pywin32", "win32api": "types-pywin32", "win32clipboard": "types-pywin32", "win32com": "types-pywin32", "win32comext": "types-pywin32", "win32con": "types-pywin32", "win32console": "types-pywin32", "win32cred": "types-pywin32", "win32crypt": "types-pywin32", "win32cryptcon": "types-pywin32", "win32event": "types-pywin32", "win32evtlog": "types-pywin32", "win32evtlogutil": "types-pywin32", "win32file": "types-pywin32", "win32gui_struct": "types-pywin32", "win32gui": "types-pywin32", "win32help": "types-pywin32", "win32inet": "types-pywin32", "win32inetcon": "types-pywin32", "win32job": "types-pywin32", "win32lz": "types-pywin32", "win32net": "types-pywin32", "win32netcon": "types-pywin32", "win32pdh": "types-pywin32", "win32pdhquery": "types-pywin32", "win32pipe": "types-pywin32", "win32print": "types-pywin32", "win32process": "types-pywin32", "win32profile": "types-pywin32", "win32ras": "types-pywin32", "win32security": "types-pywin32", "win32service": "types-pywin32", "win32serviceutil": "types-pywin32", "win32timezone": "types-pywin32", "win32trace": "types-pywin32", "win32transaction": "types-pywin32", "win32ts": "types-pywin32", "win32ui": "types-pywin32", "win32uiole": "types-pywin32", "win32verstamp": "types-pywin32", "win32wnet": "types-pywin32", "winerror": "types-pywin32", "winioctlcon": "types-pywin32", "winnt": "types-pywin32", "winperf": "types-pywin32", "winxpgui": "types-pywin32", "winxptheme": "types-pywin32", "workalendar": "types-workalendar", "wtforms": "types-WTForms", "wurlitzer": "types-wurlitzer", "xdg": "types-pyxdg", "xdgenvpy": "types-xdgenvpy", "Xlib": "types-python-xlib", "xlrd": "types-xlrd", "xmltodict": "types-xmltodict", "yt_dlp": "types-yt-dlp", "zstd": "types-zstd", "zxcvbn": "types-zxcvbn", # Stub packages that are not from typeshed # Since these can be installed automatically via --install-types, we have a high trust bar # for additions here "pandas": "pandas-stubs", # https://github.com/pandas-dev/pandas-stubs "lxml": "lxml-stubs", # https://github.com/lxml/lxml-stubs "scipy": "scipy-stubs", # https://github.com/scipy/scipy-stubs } non_bundled_packages_namespace: dict[str, dict[str, str]] = { "backports": {"backports.ssl_match_hostname": "types-backports.ssl_match_hostname"}, "google": {"google.cloud.ndb": "types-google-cloud-ndb", "google.protobuf": "types-protobuf"}, "paho": {"paho.mqtt": "types-paho-mqtt"}, } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/stubtest.py0000644000175100017510000030100115112307767015477 0ustar00runnerrunner"""Tests for stubs. Verify that various things in stubs are consistent with how things behave at runtime. """ from __future__ import annotations import argparse import collections.abc import copy import enum import functools import importlib import importlib.machinery import inspect import os import pkgutil import re import struct import symtable import sys import traceback import types import typing import typing_extensions import warnings from collections import defaultdict from collections.abc import Iterator, Set as AbstractSet from contextlib import redirect_stderr, redirect_stdout from functools import singledispatch from pathlib import Path from typing import Any, Final, Generic, TypeVar, Union from typing_extensions import get_origin, is_typeddict import mypy.build import mypy.checkexpr import mypy.checkmember import mypy.erasetype import mypy.modulefinder import mypy.nodes import mypy.state import mypy.types import mypy.version from mypy import nodes from mypy.config_parser import parse_config_file from mypy.evalexpr import UNKNOWN, evaluate_expression from mypy.options import Options from mypy.util import FancyFormatter, bytes_to_human_readable_repr, is_dunder, plural_s class Missing: """Marker object for things that are missing (from a stub or the runtime).""" def __repr__(self) -> str: return "MISSING" MISSING: Final = Missing() T = TypeVar("T") MaybeMissing: typing_extensions.TypeAlias = Union[T, Missing] class Unrepresentable: """Marker object for unrepresentable parameter defaults.""" def __repr__(self) -> str: return "" UNREPRESENTABLE: Final = Unrepresentable() _formatter: Final = FancyFormatter(sys.stdout, sys.stderr, False) def _style(message: str, **kwargs: Any) -> str: """Wrapper around mypy.util for fancy formatting.""" kwargs.setdefault("color", "none") return _formatter.style(message, **kwargs) def _truncate(message: str, length: int) -> str: if len(message) > length: return message[: length - 3] + "..." return message class StubtestFailure(Exception): pass class Error: def __init__( self, object_path: list[str], message: str, stub_object: MaybeMissing[nodes.Node], runtime_object: MaybeMissing[Any], *, stub_desc: str | None = None, runtime_desc: str | None = None, ) -> None: """Represents an error found by stubtest. :param object_path: Location of the object with the error, e.g. ``["module", "Class", "method"]`` :param message: Error message :param stub_object: The mypy node representing the stub :param runtime_object: Actual object obtained from the runtime :param stub_desc: Specialised description for the stub object, should you wish :param runtime_desc: Specialised description for the runtime object, should you wish """ self.object_path = object_path self.object_desc = ".".join(object_path) self.message = message self.stub_object = stub_object self.runtime_object = runtime_object self.stub_desc = stub_desc or str(getattr(stub_object, "type", stub_object)) if runtime_desc is None: runtime_sig = safe_inspect_signature(runtime_object) if runtime_sig is None: self.runtime_desc = _truncate(repr(runtime_object), 100) else: runtime_is_async = inspect.iscoroutinefunction(runtime_object) description = describe_runtime_callable(runtime_sig, is_async=runtime_is_async) self.runtime_desc = _truncate(description, 100) else: self.runtime_desc = runtime_desc def is_missing_stub(self) -> bool: """Whether or not the error is for something missing from the stub.""" return isinstance(self.stub_object, Missing) def is_positional_only_related(self) -> bool: """Whether or not the error is for something being (or not being) positional-only.""" # TODO: This is hacky, use error codes or something more resilient return "should be positional" in self.message def is_disjoint_base_related(self) -> bool: """Whether or not the error is related to @disjoint_base.""" # TODO: This is hacky, use error codes or something more resilient return "@disjoint_base" in self.message def get_description(self, concise: bool = False) -> str: """Returns a description of the error. :param concise: Whether to return a concise, one-line description """ if concise: return _style(self.object_desc, bold=True) + " " + self.message stub_line = None stub_file = None if not isinstance(self.stub_object, Missing): stub_line = self.stub_object.line stub_node = get_stub(self.object_path[0]) if stub_node is not None: stub_file = stub_node.path or None stub_loc_str = "" if stub_file: stub_loc_str += f" in file {Path(stub_file)}" if stub_line: stub_loc_str += f"{':' if stub_file else ' at line '}{stub_line}" runtime_line = None runtime_file = None if not isinstance(self.runtime_object, Missing): try: runtime_line = inspect.getsourcelines(self.runtime_object)[1] except (OSError, TypeError, SyntaxError): pass try: runtime_file = inspect.getsourcefile(self.runtime_object) except TypeError: pass runtime_loc_str = "" if runtime_file: runtime_loc_str += f" in file {Path(runtime_file)}" if runtime_line: runtime_loc_str += f"{':' if runtime_file else ' at line '}{runtime_line}" output = [ _style("error: ", color="red", bold=True), _style(self.object_desc, bold=True), " ", self.message, "\n", "Stub:", _style(stub_loc_str, dim=True), "\n", _style(self.stub_desc + "\n", color="blue", dim=True), "Runtime:", _style(runtime_loc_str, dim=True), "\n", _style(self.runtime_desc + "\n", color="blue", dim=True), ] return "".join(output) # ==================== # Core logic # ==================== def silent_import_module(module_name: str) -> types.ModuleType: with open(os.devnull, "w") as devnull: with warnings.catch_warnings(), redirect_stdout(devnull), redirect_stderr(devnull): warnings.simplefilter("ignore") runtime = importlib.import_module(module_name) # Also run the equivalent of `from module import *` # This could have the additional effect of loading not-yet-loaded submodules # mentioned in __all__ __import__(module_name, fromlist=["*"]) return runtime def test_module(module_name: str) -> Iterator[Error]: """Tests a given module's stub against introspecting it at runtime. Requires the stub to have been built already, accomplished by a call to ``build_stubs``. :param module_name: The module to test """ stub = get_stub(module_name) if stub is None: if not is_probably_private(module_name.split(".")[-1]): runtime_desc = repr(sys.modules[module_name]) if module_name in sys.modules else "N/A" yield Error( [module_name], "failed to find stubs", MISSING, None, runtime_desc=runtime_desc ) return try: runtime = silent_import_module(module_name) except KeyboardInterrupt: raise except BaseException as e: note = "" if isinstance(e, ModuleNotFoundError): note = " Maybe install the runtime package or alter PYTHONPATH?" yield Error( [module_name], f"failed to import.{note} {type(e).__name__}: {e}", stub, MISSING ) return with warnings.catch_warnings(): warnings.simplefilter("ignore") try: yield from verify(stub, runtime, [module_name]) except Exception as e: bottom_frame = list(traceback.walk_tb(e.__traceback__))[-1][0] bottom_module = bottom_frame.f_globals.get("__name__", "") # Pass on any errors originating from stubtest or mypy # These can occur expectedly, e.g. StubtestFailure if bottom_module == "__main__" or bottom_module.split(".")[0] == "mypy": raise yield Error( [module_name], f"encountered unexpected error, {type(e).__name__}: {e}", stub, runtime, stub_desc="N/A", runtime_desc=( "This is most likely the fault of something very dynamic in your library. " "It's also possible this is a bug in stubtest.\nIf in doubt, please " "open an issue at https://github.com/python/mypy\n\n" + traceback.format_exc().strip() ), ) @singledispatch def verify( stub: MaybeMissing[nodes.Node], runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: """Entry point for comparing a stub to a runtime object. We use single dispatch based on the type of ``stub``. :param stub: The mypy node representing a part of the stub :param runtime: The runtime object corresponding to ``stub`` """ yield Error(object_path, "is an unknown mypy node", stub, runtime) def _verify_exported_names( object_path: list[str], stub: nodes.MypyFile, runtime_all_as_set: set[str] ) -> Iterator[Error]: # note that this includes the case the stub simply defines `__all__: list[str]` assert "__all__" in stub.names public_names_in_stub = {m for m, o in stub.names.items() if o.module_public} names_in_stub_not_runtime = sorted(public_names_in_stub - runtime_all_as_set) names_in_runtime_not_stub = sorted(runtime_all_as_set - public_names_in_stub) if not (names_in_runtime_not_stub or names_in_stub_not_runtime): return yield Error( object_path + ["__all__"], ( "names exported from the stub do not correspond to the names exported at runtime. " "This is probably due to things being missing from the stub or an inaccurate `__all__` in the stub" ), # Pass in MISSING instead of the stub and runtime objects, as the line numbers aren't very # relevant here, and it makes for a prettier error message # This means this error will be ignored when using `--ignore-missing-stub`, which is # desirable in at least the `names_in_runtime_not_stub` case stub_object=MISSING, runtime_object=MISSING, stub_desc=(f"Names exported in the stub but not at runtime: {names_in_stub_not_runtime}"), runtime_desc=( f"Names exported at runtime but not in the stub: {names_in_runtime_not_stub}" ), ) @functools.lru_cache def _module_symbol_table(runtime: types.ModuleType) -> symtable.SymbolTable | None: """Retrieve the symbol table for the module (or None on failure). 1) Use inspect to retrieve the source code of the module 2) Use symtable to parse the source (and use what symtable knows for its purposes) """ try: source = inspect.getsource(runtime) except (OSError, TypeError, SyntaxError): return None try: return symtable.symtable(source, runtime.__name__, "exec") except SyntaxError: return None @verify.register(nodes.MypyFile) def verify_mypyfile( stub: nodes.MypyFile, runtime: MaybeMissing[types.ModuleType], object_path: list[str] ) -> Iterator[Error]: if isinstance(runtime, Missing): yield Error(object_path, "is not present at runtime", stub, runtime) return if not isinstance(runtime, types.ModuleType): # Can possibly happen: yield Error(object_path, "is not a module", stub, runtime) # type: ignore[unreachable] return runtime_all_as_set: set[str] | None if hasattr(runtime, "__all__"): runtime_all_as_set = set(runtime.__all__) if "__all__" in stub.names: # Only verify the contents of the stub's __all__ # if the stub actually defines __all__ yield from _verify_exported_names(object_path, stub, runtime_all_as_set) else: yield Error(object_path + ["__all__"], "is not present in stub", MISSING, runtime) else: runtime_all_as_set = None # Check things in the stub to_check = { m for m, o in stub.names.items() if not o.module_hidden and (not is_probably_private(m) or hasattr(runtime, m)) } def _belongs_to_runtime(r: types.ModuleType, attr: str) -> bool: """Heuristics to determine whether a name originates from another module.""" obj = getattr(r, attr) if isinstance(obj, types.ModuleType): return False symbol_table = _module_symbol_table(r) if symbol_table is not None: try: symbol = symbol_table.lookup(attr) except KeyError: pass else: if symbol.is_imported(): # symtable says we got this from another module return False # But we can't just return True here, because symtable doesn't know about symbols # that come from `from module import *` if symbol.is_assigned(): # symtable knows we assigned this symbol in the module return True # The __module__ attribute is unreliable for anything except functions and classes, # but it's our best guess at this point try: obj_mod = obj.__module__ except Exception: pass else: if isinstance(obj_mod, str): return bool(obj_mod == r.__name__) return True runtime_public_contents = ( runtime_all_as_set if runtime_all_as_set is not None else { m for m in dir(runtime) if not is_probably_private(m) # Filter out objects that originate from other modules (best effort). Note that in the # absence of __all__, we don't have a way to detect explicit / intentional re-exports # at runtime and _belongs_to_runtime(runtime, m) } ) # Check all things declared in module's __all__, falling back to our best guess to_check.update(runtime_public_contents) to_check.difference_update(IGNORED_MODULE_DUNDERS) for entry in sorted(to_check): stub_entry = stub.names[entry].node if entry in stub.names else MISSING if isinstance(stub_entry, nodes.MypyFile): # Don't recursively check exported modules, since that leads to infinite recursion continue assert stub_entry is not None try: runtime_entry = getattr(runtime, entry, MISSING) except Exception: # Catch all exceptions in case the runtime raises an unexpected exception # from __getattr__ or similar. continue yield from verify(stub_entry, runtime_entry, object_path + [entry]) def _verify_final( stub: nodes.TypeInfo, runtime: type[Any], object_path: list[str] ) -> Iterator[Error]: try: class SubClass(runtime): # type: ignore[misc] pass except TypeError: # Enum classes are implicitly @final if not stub.is_final and not issubclass(runtime, enum.Enum): yield Error( object_path, "cannot be subclassed at runtime, but isn't marked with @final in the stub", stub, runtime, stub_desc=repr(stub), ) except Exception: # The class probably wants its subclasses to do something special. # Examples: ctypes.Array, ctypes._SimpleCData pass # Runtime class might be annotated with `@final`: try: runtime_final = getattr(runtime, "__final__", False) except Exception: runtime_final = False if runtime_final and not stub.is_final: yield Error( object_path, "has `__final__` attribute, but isn't marked with @final in the stub", stub, runtime, stub_desc=repr(stub), ) SIZEOF_PYOBJECT = struct.calcsize("P") def _shape_differs(t1: type[object], t2: type[object]) -> bool: """Check whether two types differ in shape. Mirrors the shape_differs() function in typeobject.c in CPython.""" if sys.version_info >= (3, 12): return t1.__basicsize__ != t2.__basicsize__ or t1.__itemsize__ != t2.__itemsize__ else: # CPython had more complicated logic before 3.12: # https://github.com/python/cpython/blob/f3c6f882cddc8dc30320d2e73edf019e201394fc/Objects/typeobject.c#L2224 # We attempt to mirror it here well enough to support the most common cases. if t1.__itemsize__ or t2.__itemsize__: return t1.__basicsize__ != t2.__basicsize__ or t1.__itemsize__ != t2.__itemsize__ t_size = t1.__basicsize__ if not t2.__weakrefoffset__ and t1.__weakrefoffset__ + SIZEOF_PYOBJECT == t_size: t_size -= SIZEOF_PYOBJECT if not t2.__dictoffset__ and t1.__dictoffset__ + SIZEOF_PYOBJECT == t_size: t_size -= SIZEOF_PYOBJECT if not t2.__weakrefoffset__ and t2.__weakrefoffset__ == t_size: t_size -= SIZEOF_PYOBJECT return t_size != t2.__basicsize__ def _is_disjoint_base(typ: type[object]) -> bool: """Return whether a type is a disjoint base at runtime, mirroring CPython's logic in typeobject.c. See PEP 800.""" if typ is object: return True base = typ.__base__ assert base is not None, f"Type {typ} has no base" return _shape_differs(typ, base) def _verify_disjoint_base( stub: nodes.TypeInfo, runtime: type[object], object_path: list[str] ) -> Iterator[Error]: is_disjoint_runtime = _is_disjoint_base(runtime) # Don't complain about missing @disjoint_base if there are __slots__, because # in that case we can infer that it's a disjoint base. if ( is_disjoint_runtime and not stub.is_disjoint_base and not runtime.__dict__.get("__slots__") and not stub.is_final and not (stub.is_enum and stub.enum_members) ): yield Error( object_path, "is a disjoint base at runtime, but isn't marked with @disjoint_base in the stub", stub, runtime, stub_desc=repr(stub), ) elif stub.is_disjoint_base: if not is_disjoint_runtime: yield Error( object_path, "is marked with @disjoint_base in the stub, but isn't a disjoint base at runtime", stub, runtime, stub_desc=repr(stub), ) if runtime.__dict__.get("__slots__"): yield Error( object_path, "is marked as @disjoint_base, but also has slots; add __slots__ instead", stub, runtime, stub_desc=repr(stub), ) elif stub.is_final: yield Error( object_path, "is marked as @disjoint_base, but also marked as @final; remove @disjoint_base", stub, runtime, stub_desc=repr(stub), ) elif stub.is_enum and stub.enum_members: yield Error( object_path, "is marked as @disjoint_base, but is an enum with members, which is implicitly final; " "remove @disjoint_base", stub, runtime, stub_desc=repr(stub), ) def _verify_metaclass( stub: nodes.TypeInfo, runtime: type[Any], object_path: list[str], *, is_runtime_typeddict: bool ) -> Iterator[Error]: # We exclude protocols, because of how complex their implementation is in different versions of # python. Enums are also hard, as are runtime TypedDicts; ignoring. # TODO: check that metaclasses are identical? if not stub.is_protocol and not stub.is_enum and not is_runtime_typeddict: runtime_metaclass = type(runtime) if runtime_metaclass is not type and stub.metaclass_type is None: # This means that runtime has a custom metaclass, but a stub does not. yield Error( object_path, "is inconsistent, metaclass differs", stub, runtime, stub_desc="N/A", runtime_desc=f"{runtime_metaclass}", ) elif ( runtime_metaclass is type and stub.metaclass_type is not None # We ignore extra `ABCMeta` metaclass on stubs, this might be typing hack. # We also ignore `builtins.type` metaclass as an implementation detail in mypy. and not mypy.types.is_named_instance( stub.metaclass_type, ("abc.ABCMeta", "builtins.type") ) ): # This means that our stub has a metaclass that is not present at runtime. yield Error( object_path, "metaclass mismatch", stub, runtime, stub_desc=f"{stub.metaclass_type.type.fullname}", runtime_desc="N/A", ) @verify.register(nodes.TypeInfo) def verify_typeinfo( stub: nodes.TypeInfo, runtime: MaybeMissing[type[Any]], object_path: list[str], *, is_alias_target: bool = False, ) -> Iterator[Error]: if stub.is_type_check_only and not is_alias_target: # This type only exists in stubs, we only check that the runtime part # is missing. Other checks are not required. if not isinstance(runtime, Missing): yield Error( object_path, 'is marked as "@type_check_only", but also exists at runtime', stub, runtime, stub_desc=repr(stub), ) return if isinstance(runtime, Missing): yield Error(object_path, "is not present at runtime", stub, runtime, stub_desc=repr(stub)) return if not isinstance(runtime, type): # Yes, some runtime objects can be not types, no way to tell mypy about that. yield Error(object_path, "is not a type", stub, runtime, stub_desc=repr(stub)) # type: ignore[unreachable] return yield from _verify_final(stub, runtime, object_path) yield from _verify_disjoint_base(stub, runtime, object_path) is_runtime_typeddict = stub.typeddict_type is not None and is_typeddict(runtime) yield from _verify_metaclass( stub, runtime, object_path, is_runtime_typeddict=is_runtime_typeddict ) # Check everything already defined on the stub class itself (i.e. not inherited) # # Filter out non-identifier names, as these are (hopefully always?) whacky/fictional things # (like __mypy-replace or __mypy-post_init, etc.) that don't exist at runtime, # and exist purely for internal mypy reasons to_check = {name for name in stub.names if name.isidentifier()} # Check all public things on the runtime class to_check.update( m for m in vars(runtime) if not is_probably_private(m) and m not in IGNORABLE_CLASS_DUNDERS ) # Special-case the __init__ method for Protocols and the __new__ method for TypedDicts # # TODO: On Python <3.11, __init__ methods on Protocol classes # are silently discarded and replaced. # However, this is not the case on Python 3.11+. # Ideally, we'd figure out a good way of validating Protocol __init__ methods on 3.11+. if stub.is_protocol: to_check.discard("__init__") if is_runtime_typeddict: to_check.discard("__new__") for entry in sorted(to_check): mangled_entry = entry if entry.startswith("__") and not entry.endswith("__"): mangled_entry = f"_{stub.name.lstrip('_')}{entry}" stub_to_verify = next((t.names[entry].node for t in stub.mro if entry in t.names), MISSING) assert stub_to_verify is not None try: try: runtime_attr = getattr(runtime, mangled_entry) except AttributeError: runtime_attr = inspect.getattr_static(runtime, mangled_entry, MISSING) except Exception: # Catch all exceptions in case the runtime raises an unexpected exception # from __getattr__ or similar. continue # If it came from the metaclass, consider the runtime_attr to be MISSING # for a more accurate message if ( runtime_attr is not MISSING and type(runtime) is not runtime and getattr(runtime_attr, "__objclass__", None) is type(runtime) ): runtime_attr = MISSING # __setattr__ and __delattr__ on object are a special case, # so if we only have these methods inherited from there, pretend that # we don't have them. See python/typeshed#7385. if ( entry in ("__setattr__", "__delattr__") and runtime_attr is not MISSING and runtime is not object and getattr(runtime_attr, "__objclass__", None) is object ): runtime_attr = MISSING # Do not error for an object missing from the stub # If the runtime object is a types.WrapperDescriptorType object # and has a non-special dunder name. # The vast majority of these are false positives. if not ( isinstance(stub_to_verify, Missing) and isinstance(runtime_attr, types.WrapperDescriptorType) and is_dunder(mangled_entry, exclude_special=True) ): yield from verify(stub_to_verify, runtime_attr, object_path + [entry]) def _static_lookup_runtime(object_path: list[str]) -> MaybeMissing[Any]: static_runtime = importlib.import_module(object_path[0]) for entry in object_path[1:]: try: static_runtime = inspect.getattr_static(static_runtime, entry) except AttributeError: # This can happen with mangled names, ignore for now. # TODO: pass more information about ancestors of nodes/objects to verify, so we don't # have to do this hacky lookup. Would be useful in several places. return MISSING return static_runtime def _verify_static_class_methods( stub: nodes.FuncBase, runtime: Any, static_runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[str]: if stub.name in ("__new__", "__init_subclass__", "__class_getitem__"): # Special cased by Python, so don't bother checking return if inspect.isbuiltin(runtime): # The isinstance checks don't work reliably for builtins, e.g. datetime.datetime.now, so do # something a little hacky that seems to work well probably_class_method = isinstance(getattr(runtime, "__self__", None), type) if probably_class_method and not stub.is_class: yield "runtime is a classmethod but stub is not" if not probably_class_method and stub.is_class: yield "stub is a classmethod but runtime is not" return if static_runtime is MISSING: return if isinstance(static_runtime, classmethod) and not stub.is_class: yield "runtime is a classmethod but stub is not" if not isinstance(static_runtime, classmethod) and stub.is_class: yield "stub is a classmethod but runtime is not" if isinstance(static_runtime, staticmethod) and not stub.is_static: yield "runtime is a staticmethod but stub is not" if not isinstance(static_runtime, staticmethod) and stub.is_static: yield "stub is a staticmethod but runtime is not" def _verify_arg_name( stub_arg: nodes.Argument, runtime_arg: inspect.Parameter, function_name: str ) -> Iterator[str]: """Checks whether argument names match.""" # Ignore exact names for most dunder methods if is_dunder(function_name, exclude_special=True): return if ( stub_arg.variable.name == runtime_arg.name or stub_arg.variable.name.removeprefix("__") == runtime_arg.name ): return nonspecific_names = {"object", "args"} if runtime_arg.name in nonspecific_names: return def names_approx_match(a: str, b: str) -> bool: a = a.strip("_") b = b.strip("_") return a.startswith(b) or b.startswith(a) or len(a) == 1 or len(b) == 1 # Be more permissive about names matching for positional-only arguments if runtime_arg.kind == inspect.Parameter.POSITIONAL_ONLY and names_approx_match( stub_arg.variable.name, runtime_arg.name ): return # This comes up with namedtuples, so ignore if stub_arg.variable.name == "_self": return yield ( f'stub parameter "{stub_arg.variable.name}" ' f'differs from runtime parameter "{runtime_arg.name}"' ) def _verify_arg_default_value( stub_arg: nodes.Argument, runtime_arg: inspect.Parameter ) -> Iterator[str]: """Checks whether argument default values are compatible.""" if runtime_arg.default is not inspect.Parameter.empty: if stub_arg.kind.is_required(): yield ( f'runtime parameter "{runtime_arg.name}" ' "has a default value but stub parameter does not" ) else: type_context = stub_arg.variable.type runtime_type = get_mypy_type_of_runtime_value( runtime_arg.default, type_context=type_context ) # Fallback to the type annotation type if var type is missing. The type annotation # is an UnboundType, but I don't know enough to know what the pros and cons here are. # UnboundTypes have ugly question marks following them, so default to var type. # Note we do this same fallback when constructing signatures in from_overloadedfuncdef stub_type = stub_arg.variable.type or stub_arg.type_annotation if isinstance(stub_type, mypy.types.TypeVarType): stub_type = stub_type.upper_bound if ( runtime_type is not None and stub_type is not None # Avoid false positives for marker objects and type(runtime_arg.default) is not object # And ellipsis and runtime_arg.default is not ... and not is_subtype_helper(runtime_type, stub_type) ): yield ( f'runtime parameter "{runtime_arg.name}" ' f"has a default value of type {runtime_type}, " f"which is incompatible with stub parameter type {stub_type}" ) if stub_arg.initializer is not None: stub_default = evaluate_expression(stub_arg.initializer) if ( stub_default is not UNKNOWN and stub_default is not ... and runtime_arg.default is not UNREPRESENTABLE ): defaults_match = True # We want the types to match exactly, e.g. in case the stub has # True and the runtime has 1 (or vice versa). if type(stub_default) is not type(runtime_arg.default): defaults_match = False else: try: defaults_match = bool(stub_default == runtime_arg.default) except Exception: # Exception can be raised in bool dunder method (e.g. numpy arrays) # At this point, consider the default to be different, it is probably # too complex to put in a stub anyway. defaults_match = False if not defaults_match: yield ( f'runtime parameter "{runtime_arg.name}" ' f"has a default value of {runtime_arg.default!r}, " f"which is different from stub parameter default {stub_default!r}" ) else: if stub_arg.kind.is_optional(): yield ( f'stub parameter "{stub_arg.variable.name}" has a default value ' f"but runtime parameter does not" ) def maybe_strip_cls(name: str, args: list[nodes.Argument]) -> list[nodes.Argument]: if args and name in ("__init_subclass__", "__class_getitem__"): # These are implicitly classmethods. If the stub chooses not to have @classmethod, we # should remove the cls argument if args[0].variable.name == "cls": return args[1:] return args class Signature(Generic[T]): def __init__(self) -> None: self.pos: list[T] = [] self.kwonly: dict[str, T] = {} self.varpos: T | None = None self.varkw: T | None = None def __str__(self) -> str: def get_name(arg: Any) -> str: if isinstance(arg, inspect.Parameter): return arg.name if isinstance(arg, nodes.Argument): return arg.variable.name raise AssertionError def get_type(arg: Any) -> str | None: if isinstance(arg, inspect.Parameter): return None if isinstance(arg, nodes.Argument): return str(arg.variable.type or arg.type_annotation) raise AssertionError def has_default(arg: Any) -> bool: if isinstance(arg, inspect.Parameter): return arg.default is not inspect.Parameter.empty if isinstance(arg, nodes.Argument): return arg.kind.is_optional() raise AssertionError def get_desc(arg: Any) -> str: arg_type = get_type(arg) return ( get_name(arg) + (f": {arg_type}" if arg_type else "") + (" = ..." if has_default(arg) else "") ) kw_only = sorted(self.kwonly.values(), key=lambda a: (has_default(a), get_name(a))) ret = "def (" ret += ", ".join( [get_desc(arg) for arg in self.pos] + (["*" + get_name(self.varpos)] if self.varpos else (["*"] if self.kwonly else [])) + [get_desc(arg) for arg in kw_only] + (["**" + get_name(self.varkw)] if self.varkw else []) ) ret += ")" return ret @staticmethod def from_funcitem(stub: nodes.FuncItem) -> Signature[nodes.Argument]: stub_sig: Signature[nodes.Argument] = Signature() stub_args = maybe_strip_cls(stub.name, stub.arguments) for stub_arg in stub_args: if stub_arg.kind.is_positional(): stub_sig.pos.append(stub_arg) elif stub_arg.kind.is_named(): stub_sig.kwonly[stub_arg.variable.name] = stub_arg elif stub_arg.kind == nodes.ARG_STAR: stub_sig.varpos = stub_arg elif stub_arg.kind == nodes.ARG_STAR2: stub_sig.varkw = stub_arg else: raise AssertionError return stub_sig @staticmethod def from_inspect_signature(signature: inspect.Signature) -> Signature[inspect.Parameter]: runtime_sig: Signature[inspect.Parameter] = Signature() for runtime_arg in signature.parameters.values(): if runtime_arg.kind in ( inspect.Parameter.POSITIONAL_ONLY, inspect.Parameter.POSITIONAL_OR_KEYWORD, ): runtime_sig.pos.append(runtime_arg) elif runtime_arg.kind == inspect.Parameter.KEYWORD_ONLY: runtime_sig.kwonly[runtime_arg.name] = runtime_arg elif runtime_arg.kind == inspect.Parameter.VAR_POSITIONAL: runtime_sig.varpos = runtime_arg elif runtime_arg.kind == inspect.Parameter.VAR_KEYWORD: runtime_sig.varkw = runtime_arg else: raise AssertionError return runtime_sig @staticmethod def from_overloadedfuncdef(stub: nodes.OverloadedFuncDef) -> Signature[nodes.Argument]: """Returns a Signature from an OverloadedFuncDef. If life were simple, to verify_overloadedfuncdef, we'd just verify_funcitem for each of its items. Unfortunately, life isn't simple and overloads are pretty deceitful. So instead, we try and combine the overload's items into a single signature that is compatible with any lies it might try to tell. """ # For most dunder methods, just assume all args are positional-only assume_positional_only = is_dunder(stub.name, exclude_special=True) is_arg_pos_only: defaultdict[str, set[bool]] = defaultdict(set) for func in map(_resolve_funcitem_from_decorator, stub.items): assert func is not None, f"Failed to resolve decorated overload of {stub.fullname!r}" args = maybe_strip_cls(stub.name, func.arguments) for index, arg in enumerate(args): if ( arg.variable.name.startswith("__") or arg.pos_only or assume_positional_only or arg.variable.name.strip("_") == "self" or (index == 0 and arg.variable.name.strip("_") == "cls") ): is_arg_pos_only[arg.variable.name].add(True) else: is_arg_pos_only[arg.variable.name].add(False) all_args: dict[str, list[tuple[nodes.Argument, int]]] = {} for func in map(_resolve_funcitem_from_decorator, stub.items): assert func is not None, f"Failed to resolve decorated overload of {stub.fullname!r}" args = maybe_strip_cls(stub.name, func.arguments) for index, arg in enumerate(args): # For positional-only args, we allow overloads to have different names for the same # argument. To accomplish this, we just make up a fake index-based name. # We can only use the index-based name if the argument is always # positional only. Sometimes overloads have an arg as positional-only # in some but not all branches of the overload. name = arg.variable.name if is_arg_pos_only[name] == {True}: name = f"__{index}" all_args.setdefault(name, []).append((arg, index)) def get_position(arg_name: str) -> int: # We just need this to return the positional args in the correct order. return max(index for _, index in all_args[arg_name]) def get_type(arg_name: str) -> mypy.types.ProperType: with mypy.state.state.strict_optional_set(True): all_types = [ arg.variable.type or arg.type_annotation for arg, _ in all_args[arg_name] ] return mypy.typeops.make_simplified_union([t for t in all_types if t]) def get_kind(arg_name: str) -> nodes.ArgKind: kinds = {arg.kind for arg, _ in all_args[arg_name]} if nodes.ARG_STAR in kinds: return nodes.ARG_STAR if nodes.ARG_STAR2 in kinds: return nodes.ARG_STAR2 # The logic here is based on two tenets: # 1) If an arg is ever optional (or unspecified), it is optional # 2) If an arg is ever positional, it is positional is_opt = ( len(all_args[arg_name]) < len(stub.items) or nodes.ARG_OPT in kinds or nodes.ARG_NAMED_OPT in kinds ) is_pos = nodes.ARG_OPT in kinds or nodes.ARG_POS in kinds if is_opt: return nodes.ARG_OPT if is_pos else nodes.ARG_NAMED_OPT return nodes.ARG_POS if is_pos else nodes.ARG_NAMED sig: Signature[nodes.Argument] = Signature() for arg_name in sorted(all_args, key=get_position): # example_arg_name gives us a real name (in case we had a fake index-based name) example_arg_name = all_args[arg_name][0][0].variable.name arg = nodes.Argument( nodes.Var(example_arg_name, get_type(arg_name)), type_annotation=None, initializer=None, kind=get_kind(arg_name), pos_only=all(arg.pos_only for arg, _ in all_args[arg_name]), ) if arg.kind.is_positional(): sig.pos.append(arg) elif arg.kind.is_named(): sig.kwonly[arg.variable.name] = arg elif arg.kind == nodes.ARG_STAR: sig.varpos = arg elif arg.kind == nodes.ARG_STAR2: sig.varkw = arg else: raise AssertionError return sig def _verify_signature( stub: Signature[nodes.Argument], runtime: Signature[inspect.Parameter], function_name: str, warn_runtime_is_object_init: bool = False, ) -> Iterator[str]: # Check positional arguments match up for stub_arg, runtime_arg in zip(stub.pos, runtime.pos): yield from _verify_arg_name(stub_arg, runtime_arg, function_name) yield from _verify_arg_default_value(stub_arg, runtime_arg) if ( runtime_arg.kind == inspect.Parameter.POSITIONAL_ONLY and not stub_arg.pos_only and not stub_arg.variable.name.startswith("__") and stub_arg.variable.name.strip("_") != "self" and stub_arg.variable.name.strip("_") != "cls" and not is_dunder(function_name, exclude_special=True) # noisy for dunder methods ): yield ( f'stub parameter "{stub_arg.variable.name}" should be positional-only ' f'(add "/", e.g. "{runtime_arg.name}, /")' ) if ( runtime_arg.kind != inspect.Parameter.POSITIONAL_ONLY and (stub_arg.pos_only or stub_arg.variable.name.startswith("__")) and not runtime_arg.name.startswith("__") and stub_arg.variable.name.strip("_") != "self" and stub_arg.variable.name.strip("_") != "cls" and not is_dunder(function_name, exclude_special=True) # noisy for dunder methods ): yield ( f'stub parameter "{stub_arg.variable.name}" should be positional or keyword ' '(remove "/")' ) # Check unmatched positional args if len(stub.pos) > len(runtime.pos): # There are cases where the stub exhaustively lists out the extra parameters the function # would take through *args. Hence, a) if runtime accepts *args, we don't check whether the # runtime has all of the stub's parameters, b) below, we don't enforce that the stub takes # *args, since runtime logic may prevent arbitrary arguments from actually being accepted. if runtime.varpos is None: for stub_arg in stub.pos[len(runtime.pos) :]: # If the variable is in runtime.kwonly, it's just mislabelled as not a # keyword-only argument if stub_arg.variable.name not in runtime.kwonly: msg = f'runtime does not have parameter "{stub_arg.variable.name}"' if runtime.varkw is not None: msg += ". Maybe you forgot to make it keyword-only in the stub?" elif warn_runtime_is_object_init: msg += ". You may need to write stubs for __new__ instead of __init__." yield msg else: yield f'stub parameter "{stub_arg.variable.name}" is not keyword-only' if stub.varpos is not None: yield f'runtime does not have *args parameter "{stub.varpos.variable.name}"' elif len(stub.pos) < len(runtime.pos): for runtime_arg in runtime.pos[len(stub.pos) :]: if runtime_arg.name not in stub.kwonly: if not _is_private_parameter(runtime_arg): yield f'stub does not have parameter "{runtime_arg.name}"' else: yield f'runtime parameter "{runtime_arg.name}" is not keyword-only' # Checks involving *args if len(stub.pos) <= len(runtime.pos) or runtime.varpos is None: if stub.varpos is None and runtime.varpos is not None: yield f'stub does not have *args parameter "{runtime.varpos.name}"' if stub.varpos is not None and runtime.varpos is None: yield f'runtime does not have *args parameter "{stub.varpos.variable.name}"' # Check keyword-only args for arg in sorted(set(stub.kwonly) & set(runtime.kwonly)): stub_arg, runtime_arg = stub.kwonly[arg], runtime.kwonly[arg] yield from _verify_arg_name(stub_arg, runtime_arg, function_name) yield from _verify_arg_default_value(stub_arg, runtime_arg) # Check unmatched keyword-only args if runtime.varkw is None or not set(runtime.kwonly).issubset(set(stub.kwonly)): # There are cases where the stub exhaustively lists out the extra parameters the function # would take through **kwargs. Hence, a) if runtime accepts **kwargs (and the stub hasn't # exhaustively listed out params), we don't check whether the runtime has all of the stub's # parameters, b) below, we don't enforce that the stub takes **kwargs, since runtime logic # may prevent arbitrary keyword arguments from actually being accepted. for arg in sorted(set(stub.kwonly) - set(runtime.kwonly)): if arg in {runtime_arg.name for runtime_arg in runtime.pos}: # Don't report this if we've reported it before if arg not in {runtime_arg.name for runtime_arg in runtime.pos[len(stub.pos) :]}: yield f'runtime parameter "{arg}" is not keyword-only' else: msg = f'runtime does not have parameter "{arg}"' if warn_runtime_is_object_init: msg += ". You may need to write stubs for __new__ instead of __init__." yield msg for arg in sorted(set(runtime.kwonly) - set(stub.kwonly)): if arg in {stub_arg.variable.name for stub_arg in stub.pos}: # Don't report this if we've reported it before if not ( runtime.varpos is None and arg in {stub_arg.variable.name for stub_arg in stub.pos[len(runtime.pos) :]} ): yield f'stub parameter "{arg}" is not keyword-only' else: if not _is_private_parameter(runtime.kwonly[arg]): yield f'stub does not have parameter "{arg}"' # Checks involving **kwargs if stub.varkw is None and runtime.varkw is not None: # As mentioned above, don't enforce that the stub takes **kwargs. # Also check against positional parameters, to avoid a nitpicky message when an argument # isn't marked as keyword-only stub_pos_names = {stub_arg.variable.name for stub_arg in stub.pos} # Ideally we'd do a strict subset check, but in practice the errors from that aren't useful if not set(runtime.kwonly).issubset(set(stub.kwonly) | stub_pos_names): yield f'stub does not have **kwargs parameter "{runtime.varkw.name}"' if stub.varkw is not None and runtime.varkw is None: yield f'runtime does not have **kwargs parameter "{stub.varkw.variable.name}"' def _is_private_parameter(arg: inspect.Parameter) -> bool: return ( arg.name.startswith("_") and not arg.name.startswith("__") and arg.default is not inspect.Parameter.empty ) @verify.register(nodes.FuncItem) def verify_funcitem( stub: nodes.FuncItem, runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: if isinstance(runtime, Missing): yield Error(object_path, "is not present at runtime", stub, runtime) return if not is_probably_a_function(runtime): yield Error(object_path, "is not a function", stub, runtime) if not callable(runtime): return # Look the object up statically, to avoid binding by the descriptor protocol static_runtime = _static_lookup_runtime(object_path) if isinstance(stub, nodes.FuncDef): for error_text in _verify_abstract_status(stub, runtime): yield Error(object_path, error_text, stub, runtime) for error_text in _verify_final_method(stub, runtime, static_runtime): yield Error(object_path, error_text, stub, runtime) for message in _verify_static_class_methods(stub, runtime, static_runtime, object_path): yield Error(object_path, "is inconsistent, " + message, stub, runtime) signature = safe_inspect_signature(runtime) runtime_is_coroutine = inspect.iscoroutinefunction(runtime) if signature: stub_sig = Signature.from_funcitem(stub) runtime_sig = Signature.from_inspect_signature(signature) runtime_sig_desc = describe_runtime_callable(signature, is_async=runtime_is_coroutine) stub_desc = str(stub_sig) else: runtime_sig_desc, stub_desc = None, None # Don't raise an error if the stub is a coroutine, but the runtime isn't. # That results in false positives. # See https://github.com/python/typeshed/issues/7344 if runtime_is_coroutine and not stub.is_coroutine: yield Error( object_path, 'is an "async def" function at runtime, but not in the stub', stub, runtime, stub_desc=stub_desc, runtime_desc=runtime_sig_desc, ) if not signature: return for message in _verify_signature( stub_sig, runtime_sig, function_name=stub.name, warn_runtime_is_object_init=runtime is object.__init__, ): yield Error( object_path, "is inconsistent, " + message, stub, runtime, runtime_desc=runtime_sig_desc, ) @verify.register(Missing) def verify_missing( stub: Missing, runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: if runtime is MISSING: return yield Error(object_path, "is not present in stub", stub, runtime) @verify.register(nodes.Var) def verify_var( stub: nodes.Var, runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: if isinstance(runtime, Missing): # Don't always yield an error here, because we often can't find instance variables if len(object_path) <= 2: yield Error(object_path, "is not present at runtime", stub, runtime) return if ( stub.is_initialized_in_class and is_read_only_property(runtime) and (stub.is_settable_property or not stub.is_property) ): yield Error(object_path, "is read-only at runtime but not in the stub", stub, runtime) runtime_type = get_mypy_type_of_runtime_value(runtime, type_context=stub.type) note = "" if ( runtime_type is not None and stub.type is not None and not is_subtype_helper(runtime_type, stub.type) ): should_error = True # Avoid errors when defining enums, since runtime_type is the enum itself, but we'd # annotate it with the type of runtime.value if isinstance(runtime, enum.Enum): runtime_type = get_mypy_type_of_runtime_value(runtime.value) if runtime_type is not None and is_subtype_helper(runtime_type, stub.type): should_error = False # We always allow setting the stub value to Ellipsis (...), but use # _value_ type as a fallback if given. If a member is ... and _value_ # type is given, all runtime types should be assignable to _value_. proper_type = mypy.types.get_proper_type(stub.type) if ( isinstance(proper_type, mypy.types.Instance) and proper_type.type.fullname in mypy.types.ELLIPSIS_TYPE_NAMES ): value_t = stub.info.get("_value_") if value_t is None or value_t.type is None or runtime_type is None: should_error = False elif is_subtype_helper(runtime_type, value_t.type): should_error = False else: note = " (incompatible '_value_')" if should_error: yield Error( object_path, f"variable differs from runtime type {runtime_type}{note}", stub, runtime, ) @verify.register(nodes.OverloadedFuncDef) def verify_overloadedfuncdef( stub: nodes.OverloadedFuncDef, runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: # TODO: support `@type_check_only` decorator if isinstance(runtime, Missing): yield Error(object_path, "is not present at runtime", stub, runtime) return if stub.is_property: # Any property with a setter is represented as an OverloadedFuncDef if is_read_only_property(runtime): yield Error(object_path, "is read-only at runtime but not in the stub", stub, runtime) return if not is_probably_a_function(runtime): yield Error(object_path, "is not a function", stub, runtime) if not callable(runtime): return # mypy doesn't allow overloads where one overload is abstract but another isn't, # so it should be okay to just check whether the first overload is abstract or not. # # TODO: Mypy *does* allow properties where e.g. the getter is abstract but the setter is not; # and any property with a setter is represented as an OverloadedFuncDef internally; # not sure exactly what (if anything) we should do about that. first_part = stub.items[0] if isinstance(first_part, nodes.Decorator) and first_part.is_overload: for msg in _verify_abstract_status(first_part.func, runtime): yield Error(object_path, msg, stub, runtime) # Look the object up statically, to avoid binding by the descriptor protocol static_runtime = _static_lookup_runtime(object_path) for message in _verify_static_class_methods(stub, runtime, static_runtime, object_path): yield Error(object_path, "is inconsistent, " + message, stub, runtime) # TODO: Should call _verify_final_method here, # but overloaded final methods in stubs cause a stubtest crash: see #14950 signature = safe_inspect_signature(runtime) if not signature: return stub_sig = Signature.from_overloadedfuncdef(stub) runtime_sig = Signature.from_inspect_signature(signature) for message in _verify_signature( stub_sig, runtime_sig, function_name=stub.name, warn_runtime_is_object_init=runtime is object.__init__, ): # TODO: This is a little hacky, but the addition here is super useful if "has a default value of type" in message: message += ( ". This is often caused by overloads failing to account for explicitly passing " "in the default value." ) yield Error( object_path, "is inconsistent, " + message, stub, runtime, stub_desc=(str(stub.type)) + f"\nInferred signature: {stub_sig}", runtime_desc="def " + str(signature), ) @verify.register(nodes.TypeVarExpr) def verify_typevarexpr( stub: nodes.TypeVarExpr, runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: if isinstance(runtime, Missing): # We seem to insert these typevars into NamedTuple stubs, but they # don't exist at runtime. Just ignore! if stub.name == "_NT": return yield Error(object_path, "is not present at runtime", stub, runtime) return if not isinstance(runtime, TypeVar): yield Error(object_path, "is not a TypeVar", stub, runtime) return @verify.register(nodes.ParamSpecExpr) def verify_paramspecexpr( stub: nodes.ParamSpecExpr, runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: if isinstance(runtime, Missing): yield Error(object_path, "is not present at runtime", stub, runtime) return maybe_paramspec_types = ( getattr(typing, "ParamSpec", None), getattr(typing_extensions, "ParamSpec", None), ) paramspec_types = tuple(t for t in maybe_paramspec_types if t is not None) if not paramspec_types or not isinstance(runtime, paramspec_types): yield Error(object_path, "is not a ParamSpec", stub, runtime) return def _is_django_cached_property(runtime: Any) -> bool: # pragma: no cover # This is a special case for # https://docs.djangoproject.com/en/5.2/ref/utils/#django.utils.functional.cached_property # This is needed in `django-stubs` project: # https://github.com/typeddjango/django-stubs if type(runtime).__name__ != "cached_property": return False try: return bool(runtime.func) except Exception: return False def _verify_readonly_property(stub: nodes.Decorator, runtime: Any) -> Iterator[str]: assert stub.func.is_property if isinstance(runtime, property): yield from _verify_final_method(stub.func, runtime.fget, MISSING) return if isinstance(runtime, functools.cached_property): yield from _verify_final_method(stub.func, runtime.func, MISSING) return if _is_django_cached_property(runtime): yield from _verify_final_method(stub.func, runtime.func, MISSING) return if inspect.isdatadescriptor(runtime): # It's enough like a property... return # Sometimes attributes pretend to be properties, for instance, to express that they # are read only. So allowlist if runtime_type matches the return type of stub. runtime_type = get_mypy_type_of_runtime_value(runtime) func_type = ( stub.func.type.ret_type if isinstance(stub.func.type, mypy.types.CallableType) else None ) if ( runtime_type is not None and func_type is not None and is_subtype_helper(runtime_type, func_type) ): return yield "is inconsistent, cannot reconcile @property on stub with runtime object" def _verify_abstract_status(stub: nodes.FuncDef, runtime: Any) -> Iterator[str]: stub_abstract = stub.abstract_status == nodes.IS_ABSTRACT runtime_abstract = getattr(runtime, "__isabstractmethod__", False) # The opposite can exist: some implementations omit `@abstractmethod` decorators if runtime_abstract and not stub_abstract: item_type = "property" if stub.is_property else "method" yield f"is inconsistent, runtime {item_type} is abstract but stub is not" def _verify_final_method( stub: nodes.FuncDef, runtime: Any, static_runtime: MaybeMissing[Any] ) -> Iterator[str]: if stub.is_final: return if getattr(runtime, "__final__", False) or ( static_runtime is not MISSING and getattr(static_runtime, "__final__", False) ): yield "is decorated with @final at runtime, but not in the stub" def _resolve_funcitem_from_decorator(dec: nodes.OverloadPart) -> nodes.FuncItem | None: """Returns a FuncItem that corresponds to the output of the decorator. Returns None if we can't figure out what that would be. For convenience, this function also accepts FuncItems. """ if isinstance(dec, nodes.FuncItem): return dec if dec.func.is_property: return None def apply_decorator_to_funcitem( decorator: nodes.Expression, func: nodes.FuncItem ) -> nodes.FuncItem | None: if ( isinstance(decorator, nodes.CallExpr) and isinstance(decorator.callee, nodes.RefExpr) and decorator.callee.fullname in mypy.types.DEPRECATED_TYPE_NAMES ): return func if not isinstance(decorator, nodes.RefExpr): return None if not decorator.fullname: # Happens with namedtuple return None if ( decorator.fullname in ("builtins.staticmethod", "abc.abstractmethod") or decorator.fullname in mypy.types.OVERLOAD_NAMES or decorator.fullname in mypy.types.OVERRIDE_DECORATOR_NAMES or decorator.fullname in mypy.types.FINAL_DECORATOR_NAMES ): return func if decorator.fullname == "builtins.classmethod": if func.arguments[0].variable.name not in ("cls", "mcs", "metacls"): raise StubtestFailure( f"unexpected class parameter name {func.arguments[0].variable.name!r} " f"in {dec.fullname}" ) # FuncItem is written so that copy.copy() actually works, even when compiled ret = copy.copy(func) # Remove the cls argument, since it's not present in inspect.signature of classmethods ret.arguments = ret.arguments[1:] return ret # Just give up on any other decorators. After excluding properties, we don't run into # anything else when running on typeshed's stdlib. return None func: nodes.FuncItem = dec.func for decorator in dec.original_decorators: resulting_func = apply_decorator_to_funcitem(decorator, func) if resulting_func is None: return None func = resulting_func return func @verify.register(nodes.Decorator) def verify_decorator( stub: nodes.Decorator, runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: if stub.func.is_type_check_only: # This function only exists in stubs, we only check that the runtime part # is missing. Other checks are not required. if not isinstance(runtime, Missing): yield Error( object_path, 'is marked as "@type_check_only", but also exists at runtime', stub, runtime, stub_desc=repr(stub), ) return if isinstance(runtime, Missing): yield Error(object_path, "is not present at runtime", stub, runtime) return if stub.func.is_property: for message in _verify_readonly_property(stub, runtime): yield Error(object_path, message, stub, runtime) for message in _verify_abstract_status(stub.func, runtime): yield Error(object_path, message, stub, runtime) return func = _resolve_funcitem_from_decorator(stub) if func is not None: yield from verify(func, runtime, object_path) @verify.register(nodes.TypeAlias) def verify_typealias( stub: nodes.TypeAlias, runtime: MaybeMissing[Any], object_path: list[str] ) -> Iterator[Error]: stub_target = mypy.types.get_proper_type(stub.target) stub_desc = f"Type alias for {stub_target}" if isinstance(runtime, Missing): yield Error(object_path, "is not present at runtime", stub, runtime, stub_desc=stub_desc) return runtime_origin = get_origin(runtime) or runtime if isinstance(stub_target, mypy.types.Instance): if not isinstance(runtime_origin, type): yield Error( object_path, "is inconsistent, runtime is not a type", stub, runtime, stub_desc=stub_desc, ) return stub_origin = stub_target.type # Do our best to figure out the fullname of the runtime object... runtime_name: object try: runtime_name = runtime_origin.__qualname__ except AttributeError: runtime_name = getattr(runtime_origin, "__name__", MISSING) if isinstance(runtime_name, str): runtime_module: object = getattr(runtime_origin, "__module__", MISSING) if isinstance(runtime_module, str): if runtime_module == "collections.abc" or ( runtime_module == "re" and runtime_name in {"Match", "Pattern"} ): runtime_module = "typing" runtime_fullname = f"{runtime_module}.{runtime_name}" if re.fullmatch(rf"_?{re.escape(stub_origin.fullname)}", runtime_fullname): # Okay, we're probably fine. return # Okay, either we couldn't construct a fullname # or the fullname of the stub didn't match the fullname of the runtime. # Fallback to a full structural check of the runtime vis-a-vis the stub. yield from verify_typeinfo(stub_origin, runtime_origin, object_path, is_alias_target=True) return if isinstance(stub_target, mypy.types.UnionType): # complain if runtime is not a Union or UnionType if runtime_origin is not Union and ( not (sys.version_info >= (3, 10) and isinstance(runtime, types.UnionType)) ): yield Error(object_path, "is not a Union", stub, runtime, stub_desc=str(stub_target)) # could check Union contents here... return if isinstance(stub_target, mypy.types.TupleType): if tuple not in getattr(runtime_origin, "__mro__", ()): yield Error( object_path, "is not a subclass of tuple", stub, runtime, stub_desc=stub_desc ) # could check Tuple contents here... return if isinstance(stub_target, mypy.types.CallableType): if runtime_origin is not collections.abc.Callable: yield Error( object_path, "is not a type alias for Callable", stub, runtime, stub_desc=stub_desc ) # could check Callable contents here... return if isinstance(stub_target, mypy.types.AnyType): return yield Error(object_path, "is not a recognised type alias", stub, runtime, stub_desc=stub_desc) # ==================== # Helpers # ==================== IGNORED_MODULE_DUNDERS: Final = frozenset( { "__file__", "__doc__", "__name__", "__builtins__", "__package__", "__cached__", "__loader__", "__spec__", "__annotations__", "__annotate__", "__path__", # mypy adds __path__ to packages, but C packages don't have it "__getattr__", # resulting behaviour might be typed explicitly # Created by `warnings.warn`, does not make much sense to have in stubs: "__warningregistry__", # TODO: remove the following from this list "__author__", "__version__", "__copyright__", } ) IGNORABLE_CLASS_DUNDERS: Final = frozenset( { # Special attributes "__dict__", "__annotations__", "__annotate__", "__annotations_cache__", "__annotate_func__", "__text_signature__", "__weakref__", "__hash__", "__getattr__", # resulting behaviour might be typed explicitly "__setattr__", # defining this on a class can cause worse type checking "__vectorcalloffset__", # undocumented implementation detail of the vectorcall protocol "__firstlineno__", "__static_attributes__", "__classdictcell__", # isinstance/issubclass hooks that type-checkers don't usually care about "__instancecheck__", "__subclasshook__", "__subclasscheck__", # python2 only magic methods: "__cmp__", "__nonzero__", "__unicode__", "__div__", # cython methods "__pyx_vtable__", # Pickle methods "__setstate__", "__getstate__", "__getnewargs__", "__getinitargs__", "__reduce_ex__", "__reduce__", "__slotnames__", # Cached names of slots added by `copyreg` module. # ctypes weirdness "__ctype_be__", "__ctype_le__", "__ctypes_from_outparam__", # mypy limitations "__abstractmethods__", # Classes with metaclass=ABCMeta inherit this attribute "__new_member__", # If an enum defines __new__, the method is renamed as __new_member__ "__dataclass_fields__", # Generated by dataclasses "__dataclass_params__", # Generated by dataclasses "__doc__", # mypy's semanal for namedtuples assumes this is str, not Optional[str] # Added to all protocol classes on 3.12+ (or if using typing_extensions.Protocol) "__protocol_attrs__", "__callable_proto_members_only__", "__non_callable_proto_members__", # typing implementation details, consider removing some of these: "__parameters__", "__origin__", "__args__", "__orig_bases__", "__final__", # Has a specialized check # Consider removing __slots__? "__slots__", } ) def is_probably_private(name: str) -> bool: return name.startswith("_") and not is_dunder(name) def is_probably_a_function(runtime: Any) -> bool: return ( isinstance( runtime, ( types.FunctionType, types.BuiltinFunctionType, types.MethodType, types.BuiltinMethodType, ), ) or (inspect.ismethoddescriptor(runtime) and callable(runtime)) or (isinstance(runtime, types.MethodWrapperType) and callable(runtime)) ) def is_read_only_property(runtime: object) -> bool: return isinstance(runtime, property) and runtime.fset is None def safe_inspect_signature(runtime: Any) -> inspect.Signature | None: if ( hasattr(runtime, "__name__") and runtime.__name__ == "__init__" and hasattr(runtime, "__text_signature__") and runtime.__text_signature__ == "($self, /, *args, **kwargs)" and hasattr(runtime, "__objclass__") and hasattr(runtime.__objclass__, "__text_signature__") and runtime.__objclass__.__text_signature__ is not None ): # This is an __init__ method with the generic C-class signature. # In this case, the underlying class often has a better signature, # which we can convert into an __init__ signature by adding in the # self parameter. try: s = inspect.signature(runtime.__objclass__) parameter_kind: inspect._ParameterKind = inspect.Parameter.POSITIONAL_OR_KEYWORD if s.parameters: first_parameter = next(iter(s.parameters.values())) if first_parameter.kind == inspect.Parameter.POSITIONAL_ONLY: parameter_kind = inspect.Parameter.POSITIONAL_ONLY return s.replace( parameters=[inspect.Parameter("self", parameter_kind), *s.parameters.values()] ) except Exception: pass if ( hasattr(runtime, "__name__") and runtime.__name__ == "__new__" and hasattr(runtime, "__text_signature__") and runtime.__text_signature__ == "($type, *args, **kwargs)" and hasattr(runtime, "__self__") and hasattr(runtime.__self__, "__text_signature__") and runtime.__self__.__text_signature__ is not None ): # This is a __new__ method with the generic C-class signature. # In this case, the underlying class often has a better signature, # which we can convert into a __new__ signature by adding in the # cls parameter. # If the attached class has a valid __init__, skip recovering a # signature for this __new__ method. has_init = False if ( hasattr(runtime.__self__, "__init__") and hasattr(runtime.__self__.__init__, "__objclass__") and runtime.__self__.__init__.__objclass__ is runtime.__self__ ): has_init = True if not has_init: try: s = inspect.signature(runtime.__self__) parameter_kind = inspect.Parameter.POSITIONAL_OR_KEYWORD if s.parameters: first_parameter = next(iter(s.parameters.values())) if first_parameter.kind == inspect.Parameter.POSITIONAL_ONLY: parameter_kind = inspect.Parameter.POSITIONAL_ONLY return s.replace( parameters=[inspect.Parameter("cls", parameter_kind), *s.parameters.values()] ) except Exception: pass try: try: return inspect.signature(runtime) except ValueError: if ( hasattr(runtime, "__text_signature__") and "" in runtime.__text_signature__ ): # Try to fix up the signature. Workaround for # https://github.com/python/cpython/issues/87233 sig = runtime.__text_signature__.replace("", "...") sig = inspect._signature_fromstr(inspect.Signature, runtime, sig) # type: ignore[attr-defined] assert isinstance(sig, inspect.Signature) new_params = [ ( parameter.replace(default=UNREPRESENTABLE) if parameter.default is ... else parameter ) for parameter in sig.parameters.values() ] return sig.replace(parameters=new_params) else: raise except Exception: # inspect.signature throws ValueError all the time # catch RuntimeError because of https://bugs.python.org/issue39504 # catch TypeError because of https://github.com/python/typeshed/pull/5762 # catch AttributeError because of inspect.signature(_curses.window.border) return None def describe_runtime_callable(signature: inspect.Signature, *, is_async: bool) -> str: return f'{"async " if is_async else ""}def {signature}' def is_subtype_helper(left: mypy.types.Type, right: mypy.types.Type) -> bool: """Checks whether ``left`` is a subtype of ``right``.""" left = mypy.types.get_proper_type(left) right = mypy.types.get_proper_type(right) if ( isinstance(left, mypy.types.LiteralType) and isinstance(left.value, int) and left.value in (0, 1) and mypy.types.is_named_instance(right, "builtins.bool") ): # Pretend Literal[0, 1] is a subtype of bool to avoid unhelpful errors. return True if isinstance(right, mypy.types.TypedDictType) and mypy.types.is_named_instance( left, "builtins.dict" ): # Special case checks against TypedDicts return True with mypy.state.state.strict_optional_set(True): return mypy.subtypes.is_subtype(left, right) def get_mypy_node_for_name(module: str, type_name: str) -> mypy.nodes.SymbolNode | None: stub = get_stub(module) if stub is None: return None if type_name not in stub.names: return None return stub.names[type_name].node def get_mypy_type_of_runtime_value( runtime: Any, type_context: mypy.types.Type | None = None ) -> mypy.types.Type | None: """Returns a mypy type object representing the type of ``runtime``. Returns None if we can't find something that works. """ if runtime is None: return mypy.types.NoneType() if isinstance(runtime, property): # Give up on properties to avoid issues with things that are typed as attributes. return None def anytype() -> mypy.types.AnyType: return mypy.types.AnyType(mypy.types.TypeOfAny.unannotated) if isinstance( runtime, (types.FunctionType, types.BuiltinFunctionType, types.MethodType, types.BuiltinMethodType), ): builtins = get_stub("builtins") assert builtins is not None type_info = builtins.names["function"].node assert isinstance(type_info, nodes.TypeInfo) fallback = mypy.types.Instance(type_info, [anytype()]) signature = safe_inspect_signature(runtime) if signature: arg_types = [] arg_kinds = [] arg_names = [] for arg in signature.parameters.values(): arg_types.append(anytype()) arg_names.append( None if arg.kind == inspect.Parameter.POSITIONAL_ONLY else arg.name ) no_default = arg.default is inspect.Parameter.empty if arg.kind == inspect.Parameter.POSITIONAL_ONLY: arg_kinds.append(nodes.ARG_POS if no_default else nodes.ARG_OPT) elif arg.kind == inspect.Parameter.POSITIONAL_OR_KEYWORD: arg_kinds.append(nodes.ARG_POS if no_default else nodes.ARG_OPT) elif arg.kind == inspect.Parameter.KEYWORD_ONLY: arg_kinds.append(nodes.ARG_NAMED if no_default else nodes.ARG_NAMED_OPT) elif arg.kind == inspect.Parameter.VAR_POSITIONAL: arg_kinds.append(nodes.ARG_STAR) elif arg.kind == inspect.Parameter.VAR_KEYWORD: arg_kinds.append(nodes.ARG_STAR2) else: raise AssertionError else: arg_types = [anytype(), anytype()] arg_kinds = [nodes.ARG_STAR, nodes.ARG_STAR2] arg_names = [None, None] return mypy.types.CallableType( arg_types, arg_kinds, arg_names, ret_type=anytype(), fallback=fallback, is_ellipsis_args=True, ) skip_type_object_type = False if type_context: # Don't attempt to process the type object when context is generic # This is related to issue #3737 type_context = mypy.types.get_proper_type(type_context) # Callable types with a generic return value if isinstance(type_context, mypy.types.CallableType): if isinstance(type_context.ret_type, mypy.types.TypeVarType): skip_type_object_type = True # Type[x] where x is generic if isinstance(type_context, mypy.types.TypeType): if isinstance(type_context.item, mypy.types.TypeVarType): skip_type_object_type = True if isinstance(runtime, type) and not skip_type_object_type: def _named_type(name: str) -> mypy.types.Instance: parts = name.rsplit(".", maxsplit=1) node = get_mypy_node_for_name(parts[0], parts[1]) assert isinstance(node, nodes.TypeInfo) any_type = mypy.types.AnyType(mypy.types.TypeOfAny.special_form) return mypy.types.Instance(node, [any_type] * len(node.defn.type_vars)) # Try and look up a stub for the runtime object itself # The logic here is similar to ExpressionChecker.analyze_ref_expr type_info = get_mypy_node_for_name(runtime.__module__, runtime.__name__) if isinstance(type_info, nodes.TypeInfo): result: mypy.types.Type | None = None result = mypy.typeops.type_object_type(type_info, _named_type) if mypy.checkexpr.is_type_type_context(type_context): # This is the type in a type[] expression, so substitute type # variables with Any. result = mypy.erasetype.erase_typevars(result) return result # Try and look up a stub for the runtime object's type type_info = get_mypy_node_for_name(type(runtime).__module__, type(runtime).__name__) if type_info is None: return None if isinstance(type_info, nodes.Var): return type_info.type if not isinstance(type_info, nodes.TypeInfo): return None if isinstance(runtime, tuple): # Special case tuples so we construct a valid mypy.types.TupleType optional_items = [get_mypy_type_of_runtime_value(v) for v in runtime] items = [(i if i is not None else anytype()) for i in optional_items] fallback = mypy.types.Instance(type_info, [anytype()]) return mypy.types.TupleType(items, fallback) fallback = mypy.types.Instance(type_info, [anytype() for _ in type_info.type_vars]) value: bool | int | str if isinstance(runtime, enum.Enum) and isinstance(runtime.name, str): value = runtime.name elif isinstance(runtime, bytes): value = bytes_to_human_readable_repr(runtime) elif isinstance(runtime, (bool, int, str)): value = runtime else: return fallback return mypy.types.LiteralType(value=value, fallback=fallback) # ==================== # Build and entrypoint # ==================== _all_stubs: dict[str, nodes.MypyFile] = {} def build_stubs(modules: list[str], options: Options, find_submodules: bool = False) -> list[str]: """Uses mypy to construct stub objects for the given modules. This sets global state that ``get_stub`` can access. Returns all modules we might want to check. If ``find_submodules`` is False, this is equal to ``modules``. :param modules: List of modules to build stubs for. :param options: Mypy options for finding and building stubs. :param find_submodules: Whether to attempt to find submodules of the given modules as well. """ data_dir = mypy.build.default_data_dir() search_path = mypy.modulefinder.compute_search_paths([], options, data_dir) find_module_cache = mypy.modulefinder.FindModuleCache( search_path, fscache=None, options=options ) all_modules = [] sources = [] for module in modules: all_modules.append(module) if not find_submodules: module_path = find_module_cache.find_module(module) if not isinstance(module_path, str): # test_module will yield an error later when it can't find stubs continue sources.append(mypy.modulefinder.BuildSource(module_path, module, None)) else: found_sources = find_module_cache.find_modules_recursive(module) sources.extend(found_sources) # find submodules via mypy all_modules.extend(s.module for s in found_sources if s.module not in all_modules) # find submodules via pkgutil try: runtime = silent_import_module(module) all_modules.extend( m.name for m in pkgutil.walk_packages(runtime.__path__, runtime.__name__ + ".") if m.name not in all_modules ) except KeyboardInterrupt: raise except BaseException: pass if sources: try: res = mypy.build.build(sources=sources, options=options) except mypy.errors.CompileError as e: raise StubtestFailure(f"failed mypy compile:\n{e}") from e if res.errors: raise StubtestFailure("mypy build errors:\n" + "\n".join(res.errors)) global _all_stubs _all_stubs = res.files return all_modules def get_stub(module: str) -> nodes.MypyFile | None: """Returns a stub object for the given module, if we've built one.""" return _all_stubs.get(module) def get_typeshed_stdlib_modules( custom_typeshed_dir: str | None, version_info: tuple[int, int] | None = None ) -> set[str]: """Returns a list of stdlib modules in typeshed (for current Python version).""" stdlib_py_versions = mypy.modulefinder.load_stdlib_py_versions(custom_typeshed_dir) if version_info is None: version_info = sys.version_info[0:2] def exists_in_version(module: str) -> bool: assert version_info is not None parts = module.split(".") for i in range(len(parts), 0, -1): current_module = ".".join(parts[:i]) if current_module in stdlib_py_versions: minver, maxver = stdlib_py_versions[current_module] return version_info >= minver and (maxver is None or version_info <= maxver) return False if custom_typeshed_dir: typeshed_dir = Path(custom_typeshed_dir) else: typeshed_dir = Path(mypy.build.default_data_dir()) / "typeshed" stdlib_dir = typeshed_dir / "stdlib" modules: set[str] = set() for path in stdlib_dir.rglob("*.pyi"): if path.stem == "__init__": path = path.parent module = ".".join(path.relative_to(stdlib_dir).parts[:-1] + (path.stem,)) if exists_in_version(module): modules.add(module) return modules def get_importable_stdlib_modules() -> set[str]: """Return all importable stdlib modules at runtime.""" all_stdlib_modules: AbstractSet[str] if sys.version_info >= (3, 10): all_stdlib_modules = sys.stdlib_module_names else: all_stdlib_modules = set(sys.builtin_module_names) modules_by_finder: defaultdict[importlib.machinery.FileFinder, set[str]] = defaultdict(set) for m in pkgutil.iter_modules(): if isinstance(m.module_finder, importlib.machinery.FileFinder): modules_by_finder[m.module_finder].add(m.name) for finder, module_group in modules_by_finder.items(): if ( "site-packages" not in Path(finder.path).parts # if "_queue" is present, it's most likely the module finder # for stdlib extension modules; # if "queue" is present, it's most likely the module finder # for pure-Python stdlib modules. # In either case, we'll want to add all the modules that the finder has to offer us. # This is a bit hacky, but seems to work well in a cross-platform way. and {"_queue", "queue"} & module_group ): all_stdlib_modules.update(module_group) importable_stdlib_modules: set[str] = set() for module_name in all_stdlib_modules: if module_name in ANNOYING_STDLIB_MODULES: continue try: runtime = silent_import_module(module_name) except ImportError: continue else: importable_stdlib_modules.add(module_name) try: # some stdlib modules (e.g. `nt`) don't have __path__ set... runtime_path = runtime.__path__ runtime_name = runtime.__name__ except AttributeError: continue for submodule in pkgutil.walk_packages(runtime_path, runtime_name + "."): submodule_name = submodule.name # There are many annoying *.__main__ stdlib modules, # and including stubs for them isn't really that useful anyway: # tkinter.__main__ opens a tkinter windows; unittest.__main__ raises SystemExit; etc. # # The idlelib.* submodules are similarly annoying in opening random tkinter windows, # and we're unlikely to ever add stubs for idlelib in typeshed # (see discussion in https://github.com/python/typeshed/pull/9193) # # test.* modules do weird things like raising exceptions in __del__ methods, # leading to unraisable exceptions being logged to the terminal # as a warning at the end of the stubtest run if submodule_name.endswith(".__main__") or submodule_name.startswith( ("idlelib.", "test.") ): continue try: silent_import_module(submodule_name) except KeyboardInterrupt: raise # importing multiprocessing.popen_forkserver on Windows raises AttributeError... # some submodules also appear to raise SystemExit as well on some Python versions # (not sure exactly which) except BaseException: continue else: importable_stdlib_modules.add(submodule_name) return importable_stdlib_modules def get_allowlist_entries(allowlist_file: str) -> Iterator[str]: def strip_comments(s: str) -> str: try: return s[: s.index("#")].strip() except ValueError: return s.strip() with open(allowlist_file) as f: for line in f: entry = strip_comments(line) if entry: yield entry class _Arguments: modules: list[str] concise: bool ignore_missing_stub: bool ignore_positional_only: bool ignore_disjoint_bases: bool allowlist: list[str] generate_allowlist: bool ignore_unused_allowlist: bool mypy_config_file: str | None custom_typeshed_dir: str | None check_typeshed: bool version: str show_traceback: bool pdb: bool # typeshed added a stub for __main__, but that causes stubtest to check itself ANNOYING_STDLIB_MODULES: Final = frozenset({"antigravity", "this", "__main__", "_ios_support"}) def test_stubs(args: _Arguments, use_builtins_fixtures: bool = False) -> int: """This is stubtest! It's time to test the stubs!""" # Load the allowlist. This is a series of strings corresponding to Error.object_desc # Values in the dict will store whether we used the allowlist entry or not. allowlist = { entry: False for allowlist_file in args.allowlist for entry in get_allowlist_entries(allowlist_file) } allowlist_regexes = {entry: re.compile(entry) for entry in allowlist} # If we need to generate an allowlist, we store Error.object_desc for each error here. generated_allowlist = set() modules = args.modules if args.check_typeshed: if args.modules: print( _style("error:", color="red", bold=True), "cannot pass both --check-typeshed and a list of modules", ) return 1 typeshed_modules = get_typeshed_stdlib_modules(args.custom_typeshed_dir) runtime_modules = get_importable_stdlib_modules() modules = sorted((typeshed_modules | runtime_modules) - ANNOYING_STDLIB_MODULES) if not modules: print(_style("error:", color="red", bold=True), "no modules to check") return 1 options = Options() options.incremental = False options.custom_typeshed_dir = args.custom_typeshed_dir if options.custom_typeshed_dir: options.abs_custom_typeshed_dir = os.path.abspath(options.custom_typeshed_dir) options.config_file = args.mypy_config_file options.use_builtins_fixtures = use_builtins_fixtures options.show_traceback = args.show_traceback options.pdb = args.pdb if options.config_file: def set_strict_flags() -> None: # not needed yet return parse_config_file(options, set_strict_flags, options.config_file, sys.stdout, sys.stderr) def error_callback(msg: str) -> typing.NoReturn: print(_style("error:", color="red", bold=True), msg) sys.exit(1) def warning_callback(msg: str) -> None: print(_style("warning:", color="yellow", bold=True), msg) options.process_error_codes(error_callback=error_callback) options.process_incomplete_features( error_callback=error_callback, warning_callback=warning_callback ) options.process_strict_bytes() try: modules = build_stubs(modules, options, find_submodules=not args.check_typeshed) except StubtestFailure as stubtest_failure: print( _style("error:", color="red", bold=True), f"not checking stubs due to {stubtest_failure}", ) return 1 exit_code = 0 error_count = 0 for module in modules: for error in test_module(module): # Filter errors if args.ignore_missing_stub and error.is_missing_stub(): continue if args.ignore_positional_only and error.is_positional_only_related(): continue if args.ignore_disjoint_bases and error.is_disjoint_base_related(): continue if error.object_desc in allowlist: allowlist[error.object_desc] = True continue is_allowlisted = False for w in allowlist: if allowlist_regexes[w].fullmatch(error.object_desc): allowlist[w] = True is_allowlisted = True break if is_allowlisted: continue # We have errors, so change exit code, and output whatever necessary exit_code = 1 if args.generate_allowlist: generated_allowlist.add(error.object_desc) continue safe_print(error.get_description(concise=args.concise)) error_count += 1 # Print unused allowlist entries if not args.ignore_unused_allowlist: for w in allowlist: # Don't consider an entry unused if it regex-matches the empty string # This lets us allowlist errors that don't manifest at all on some systems if not allowlist[w] and not allowlist_regexes[w].fullmatch(""): exit_code = 1 error_count += 1 print(f"note: unused allowlist entry {w}") # Print the generated allowlist if args.generate_allowlist: for e in sorted(generated_allowlist): print(e) exit_code = 0 elif not args.concise: if error_count: print( _style( f"Found {error_count} error{plural_s(error_count)}" f" (checked {len(modules)} module{plural_s(modules)})", color="red", bold=True, ) ) else: print( _style( f"Success: no issues found in {len(modules)} module{plural_s(modules)}", color="green", bold=True, ) ) return exit_code def safe_print(text: str) -> None: """Print a text replacing chars not representable in stdout encoding.""" # If `sys.stdout` encoding is not the same as out (usually UTF8) string, # if may cause painful crashes. I don't want to reconfigure `sys.stdout` # to do `errors = "replace"` as that sounds scary. out_encoding = sys.stdout.encoding if out_encoding is not None: # Can be None if stdout is replaced (including our own tests). This should be # safe to omit if the actual stream doesn't care about encoding. text = text.encode(out_encoding, errors="replace").decode(out_encoding, errors="replace") print(text) def parse_options(args: list[str]) -> _Arguments: parser = argparse.ArgumentParser( description="Compares stubs to objects introspected from the runtime." ) parser.add_argument("modules", nargs="*", help="Modules to test") parser.add_argument( "--concise", action="store_true", help="Makes stubtest's output more concise, one line per error", ) parser.add_argument( "--ignore-missing-stub", action="store_true", help="Ignore errors for stub missing things that are present at runtime", ) parser.add_argument( "--ignore-positional-only", action="store_true", help="Ignore errors for whether an argument should or shouldn't be positional-only", ) # TODO: Remove once PEP 800 is accepted parser.add_argument( "--ignore-disjoint-bases", action="store_true", help="Disable checks for PEP 800 @disjoint_base classes", ) parser.add_argument( "--allowlist", "--whitelist", action="append", metavar="FILE", default=[], help=( "Use file as an allowlist. Can be passed multiple times to combine multiple " "allowlists. Allowlists can be created with --generate-allowlist. Allowlists " "support regular expressions." ), ) parser.add_argument( "--generate-allowlist", "--generate-whitelist", action="store_true", help="Print an allowlist (to stdout) to be used with --allowlist", ) parser.add_argument( "--ignore-unused-allowlist", "--ignore-unused-whitelist", action="store_true", help="Ignore unused allowlist entries", ) parser.add_argument( "--mypy-config-file", metavar="FILE", help=("Use specified mypy config file to determine mypy plugins and mypy path"), ) parser.add_argument( "--custom-typeshed-dir", metavar="DIR", help="Use the custom typeshed in DIR" ) parser.add_argument( "--check-typeshed", action="store_true", help="Check all stdlib modules in typeshed" ) parser.add_argument( "--version", action="version", version="%(prog)s " + mypy.version.__version__ ) parser.add_argument("--pdb", action="store_true", help="Invoke pdb on fatal error") parser.add_argument( "--show-traceback", "--tb", action="store_true", help="Show traceback on fatal error" ) return parser.parse_args(args, namespace=_Arguments()) def main() -> int: mypy.util.check_python_version("stubtest") return test_stubs(parse_options(sys.argv[1:])) if __name__ == "__main__": sys.exit(main()) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/stubutil.py0000644000175100017510000010130615112307767015503 0ustar00runnerrunner"""Utilities for mypy.stubgen, mypy.stubgenc, and mypy.stubdoc modules.""" from __future__ import annotations import os.path import re import sys import traceback from abc import abstractmethod from collections import defaultdict from collections.abc import Iterable, Iterator, Mapping from contextlib import contextmanager from typing import Final, overload from mypy_extensions import mypyc_attr import mypy.options from mypy.modulefinder import ModuleNotFoundReason from mypy.moduleinspect import InspectError, ModuleInspect from mypy.nodes import PARAM_SPEC_KIND, TYPE_VAR_TUPLE_KIND, ClassDef, FuncDef, TypeAliasStmt from mypy.stubdoc import ArgSig, FunctionSig from mypy.types import ( AnyType, NoneType, Type, TypeList, TypeStrVisitor, UnboundType, UnionType, UnpackType, ) # Modules that may fail when imported, or that may have side effects (fully qualified). NOT_IMPORTABLE_MODULES = () # Typing constructs to be replaced by their builtin equivalents. TYPING_BUILTIN_REPLACEMENTS: Final = { # From typing "typing.Text": "builtins.str", "typing.Tuple": "builtins.tuple", "typing.List": "builtins.list", "typing.Dict": "builtins.dict", "typing.Set": "builtins.set", "typing.FrozenSet": "builtins.frozenset", "typing.Type": "builtins.type", # From typing_extensions "typing_extensions.Text": "builtins.str", "typing_extensions.Tuple": "builtins.tuple", "typing_extensions.List": "builtins.list", "typing_extensions.Dict": "builtins.dict", "typing_extensions.Set": "builtins.set", "typing_extensions.FrozenSet": "builtins.frozenset", "typing_extensions.Type": "builtins.type", } class CantImport(Exception): def __init__(self, module: str, message: str) -> None: self.module = module self.message = message def walk_packages( inspect: ModuleInspect, packages: list[str], verbose: bool = False ) -> Iterator[str]: """Iterates through all packages and sub-packages in the given list. This uses runtime imports (in another process) to find both Python and C modules. For Python packages we simply pass the __path__ attribute to pkgutil.walk_packages() to get the content of the package (all subpackages and modules). However, packages in C extensions do not have this attribute, so we have to roll out our own logic: recursively find all modules imported in the package that have matching names. """ for package_name in packages: if package_name in NOT_IMPORTABLE_MODULES: print(f"{package_name}: Skipped (blacklisted)") continue if verbose: print(f"Trying to import {package_name!r} for runtime introspection") try: prop = inspect.get_package_properties(package_name) except InspectError: if verbose: tb = traceback.format_exc() sys.stderr.write(tb) report_missing(package_name) continue yield prop.name if prop.is_c_module: # Recursively iterate through the subpackages yield from walk_packages(inspect, prop.subpackages, verbose) else: yield from prop.subpackages def find_module_path_using_sys_path(module: str, sys_path: list[str]) -> str | None: relative_candidates = ( module.replace(".", "/") + ".py", os.path.join(module.replace(".", "/"), "__init__.py"), ) for base in sys_path: for relative_path in relative_candidates: path = os.path.join(base, relative_path) if os.path.isfile(path): return path return None def find_module_path_and_all_py3( inspect: ModuleInspect, module: str, verbose: bool ) -> tuple[str | None, list[str] | None] | None: """Find module and determine __all__ for a Python 3 module. Return None if the module is a C or pyc-only module. Return (module_path, __all__) if it is a Python module. Raise CantImport if import failed. """ if module in NOT_IMPORTABLE_MODULES: raise CantImport(module, "") # TODO: Support custom interpreters. if verbose: print(f"Trying to import {module!r} for runtime introspection") try: mod = inspect.get_package_properties(module) except InspectError as e: # Fall back to finding the module using sys.path. path = find_module_path_using_sys_path(module, sys.path) if path is None: raise CantImport(module, str(e)) from e return path, None if mod.is_c_module: return None return mod.file, mod.all @contextmanager def generate_guarded( mod: str, target: str, ignore_errors: bool = True, verbose: bool = False ) -> Iterator[None]: """Ignore or report errors during stub generation. Optionally report success. """ if verbose: print(f"Processing {mod}") try: yield except Exception as e: if not ignore_errors: raise e else: # --ignore-errors was passed print("Stub generation failed for", mod, file=sys.stderr) else: if verbose: print(f"Created {target}") def report_missing(mod: str, message: str | None = "", traceback: str = "") -> None: if message: message = " with error: " + message print(f"{mod}: Failed to import, skipping{message}") def fail_missing(mod: str, reason: ModuleNotFoundReason) -> None: if reason is ModuleNotFoundReason.NOT_FOUND: clarification = "(consider using --search-path)" elif reason is ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS: clarification = "(module likely exists, but is not PEP 561 compatible)" else: clarification = f"(unknown reason '{reason}')" raise SystemExit(f"Can't find module '{mod}' {clarification}") @overload def remove_misplaced_type_comments(source: bytes) -> bytes: ... @overload def remove_misplaced_type_comments(source: str) -> str: ... def remove_misplaced_type_comments(source: str | bytes) -> str | bytes: """Remove comments from source that could be understood as misplaced type comments. Normal comments may look like misplaced type comments, and since they cause blocking parse errors, we want to avoid them. """ if isinstance(source, bytes): # This gives us a 1-1 character code mapping, so it's roundtrippable. text = source.decode("latin1") else: text = source # Remove something that looks like a variable type comment but that's by itself # on a line, as it will often generate a parse error (unless it's # type: ignore). text = re.sub(r'^[ \t]*# +type: +["\'a-zA-Z_].*$', "", text, flags=re.MULTILINE) # Remove something that looks like a function type comment after docstring, # which will result in a parse error. text = re.sub(r'""" *\n[ \t\n]*# +type: +\(.*$', '"""\n', text, flags=re.MULTILINE) text = re.sub(r"''' *\n[ \t\n]*# +type: +\(.*$", "'''\n", text, flags=re.MULTILINE) # Remove something that looks like a badly formed function type comment. text = re.sub(r"^[ \t]*# +type: +\([^()]+(\)[ \t]*)?$", "", text, flags=re.MULTILINE) if isinstance(source, bytes): return text.encode("latin1") else: return text def common_dir_prefix(paths: list[str]) -> str: if not paths: return "." cur = os.path.dirname(os.path.normpath(paths[0])) for path in paths[1:]: while True: path = os.path.dirname(os.path.normpath(path)) if (cur + os.sep).startswith(path + os.sep): cur = path break return cur or "." class AnnotationPrinter(TypeStrVisitor): """Visitor used to print existing annotations in a file. The main difference from TypeStrVisitor is a better treatment of unbound types. Notes: * This visitor doesn't add imports necessary for annotations, this is done separately by ImportTracker. * It can print all kinds of types, but the generated strings may not be valid (notably callable types) since it prints the same string that reveal_type() does. * For Instance types it prints the fully qualified names. """ # TODO: Generate valid string representation for callable types. # TODO: Use short names for Instances. def __init__( self, stubgen: BaseStubGenerator, known_modules: list[str] | None = None, local_modules: list[str] | None = None, ) -> None: super().__init__(options=mypy.options.Options()) self.stubgen = stubgen self.known_modules = known_modules self.local_modules = local_modules or ["builtins"] def visit_any(self, t: AnyType) -> str: s = super().visit_any(t) self.stubgen.import_tracker.require_name(s) return s def visit_unbound_type(self, t: UnboundType) -> str: s = t.name fullname = self.stubgen.resolve_name(s) if fullname == "typing.Union": return " | ".join([item.accept(self) for item in t.args]) if fullname == "typing.Optional": if len(t.args) == 1: return f"{t.args[0].accept(self)} | None" return self.stubgen.add_name("_typeshed.Incomplete") if fullname in TYPING_BUILTIN_REPLACEMENTS: s = self.stubgen.add_name(TYPING_BUILTIN_REPLACEMENTS[fullname], require=True) if self.known_modules is not None and "." in s: # see if this object is from any of the modules that we're currently processing. # reverse sort so that subpackages come before parents: e.g. "foo.bar" before "foo". for module_name in self.local_modules + sorted(self.known_modules, reverse=True): if s.startswith(module_name + "."): if module_name in self.local_modules: s = s[len(module_name) + 1 :] arg_module = module_name break else: arg_module = s[: s.rindex(".")] if arg_module not in self.local_modules: self.stubgen.import_tracker.add_import(arg_module, require=True) elif s == "NoneType": # when called without analysis all types are unbound, so this won't hit # visit_none_type(). s = "None" else: self.stubgen.import_tracker.require_name(s) if t.args: s += f"[{self.args_str(t.args)}]" elif t.empty_tuple_index: s += "[()]" return s def visit_none_type(self, t: NoneType) -> str: return "None" def visit_type_list(self, t: TypeList) -> str: return f"[{self.list_str(t.items)}]" def visit_union_type(self, t: UnionType) -> str: return " | ".join([item.accept(self) for item in t.items]) def visit_unpack_type(self, t: UnpackType) -> str: if self.options.python_version >= (3, 11): return f"*{t.type.accept(self)}" return super().visit_unpack_type(t) def args_str(self, args: Iterable[Type]) -> str: """Convert an array of arguments to strings and join the results with commas. The main difference from list_str is the preservation of quotes for string arguments """ types = ["builtins.bytes", "builtins.str"] res = [] for arg in args: arg_str = arg.accept(self) if isinstance(arg, UnboundType) and arg.original_str_fallback in types: res.append(f"'{arg_str}'") else: res.append(arg_str) return ", ".join(res) class ClassInfo: def __init__( self, name: str, self_var: str, docstring: str | None = None, cls: type | None = None, parent: ClassInfo | None = None, ) -> None: self.name = name self.self_var = self_var self.docstring = docstring self.cls = cls self.parent = parent class FunctionContext: def __init__( self, module_name: str, name: str, docstring: str | None = None, is_abstract: bool = False, class_info: ClassInfo | None = None, ) -> None: self.module_name = module_name self.name = name self.docstring = docstring self.is_abstract = is_abstract self.class_info = class_info self._fullname: str | None = None @property def fullname(self) -> str: if self._fullname is None: if self.class_info: parents = [] class_info: ClassInfo | None = self.class_info while class_info is not None: parents.append(class_info.name) class_info = class_info.parent namespace = ".".join(reversed(parents)) self._fullname = f"{self.module_name}.{namespace}.{self.name}" else: self._fullname = f"{self.module_name}.{self.name}" return self._fullname def infer_method_ret_type(name: str) -> str | None: """Infer return types for known special methods""" if name.startswith("__") and name.endswith("__"): name = name[2:-2] if name in ("float", "bool", "bytes", "int", "complex", "str"): return name # Note: __eq__ and co may return arbitrary types, but bool is good enough for stubgen. elif name in ("eq", "ne", "lt", "le", "gt", "ge", "contains"): return "bool" elif name in ("len", "length_hint", "index", "hash", "sizeof", "trunc", "floor", "ceil"): return "int" elif name in ("format", "repr"): return "str" elif name in ("init", "setitem", "del", "delitem"): return "None" return None def infer_method_arg_types( name: str, self_var: str = "self", arg_names: list[str] | None = None ) -> list[ArgSig] | None: """Infer argument types for known special methods""" args: list[ArgSig] | None = None if name.startswith("__") and name.endswith("__"): if arg_names and len(arg_names) >= 1 and arg_names[0] == "self": arg_names = arg_names[1:] name = name[2:-2] if name == "exit": if arg_names is None: arg_names = ["type", "value", "traceback"] if len(arg_names) == 3: arg_types = [ "type[BaseException] | None", "BaseException | None", "types.TracebackType | None", ] args = [ ArgSig(name=arg_name, type=arg_type) for arg_name, arg_type in zip(arg_names, arg_types) ] if args is not None: return [ArgSig(name=self_var)] + args return None @mypyc_attr(allow_interpreted_subclasses=True) class SignatureGenerator: """Abstract base class for extracting a list of FunctionSigs for each function.""" def remove_self_type( self, inferred: list[FunctionSig] | None, self_var: str ) -> list[FunctionSig] | None: """Remove type annotation from self/cls argument""" if inferred: for signature in inferred: if signature.args: if signature.args[0].name == self_var: signature.args[0].type = None return inferred @abstractmethod def get_function_sig( self, default_sig: FunctionSig, ctx: FunctionContext ) -> list[FunctionSig] | None: """Return a list of signatures for the given function. If no signature can be found, return None. If all of the registered SignatureGenerators for the stub generator return None, then the default_sig will be used. """ pass @abstractmethod def get_property_type(self, default_type: str | None, ctx: FunctionContext) -> str | None: """Return the type of the given property""" pass class ImportTracker: """Record necessary imports during stub generation.""" def __init__(self) -> None: # module_for['foo'] has the module name where 'foo' was imported from, or None if # 'foo' is a module imported directly; # direct_imports['foo'] is the module path used when the name 'foo' was added to the # namespace. # reverse_alias['foo'] is the name that 'foo' had originally when imported with an # alias; examples # 'from pkg import mod' ==> module_for['mod'] == 'pkg' # 'from pkg import mod as m' ==> module_for['m'] == 'pkg' # ==> reverse_alias['m'] == 'mod' # 'import pkg.mod as m' ==> module_for['m'] == None # ==> reverse_alias['m'] == 'pkg.mod' # 'import pkg.mod' ==> module_for['pkg'] == None # ==> module_for['pkg.mod'] == None # ==> direct_imports['pkg'] == 'pkg.mod' # ==> direct_imports['pkg.mod'] == 'pkg.mod' self.module_for: dict[str, str | None] = {} self.direct_imports: dict[str, str] = {} self.reverse_alias: dict[str, str] = {} # required_names is the set of names that are actually used in a type annotation self.required_names: set[str] = set() # Names that should be reexported if they come from another module self.reexports: set[str] = set() def add_import_from( self, module: str, names: list[tuple[str, str | None]], require: bool = False ) -> None: for name, alias in names: if alias: # 'from {module} import {name} as {alias}' self.module_for[alias] = module self.reverse_alias[alias] = name else: # 'from {module} import {name}' self.module_for[name] = module self.reverse_alias.pop(name, None) if require: self.require_name(alias or name) self.direct_imports.pop(alias or name, None) def add_import(self, module: str, alias: str | None = None, require: bool = False) -> None: if alias: # 'import {module} as {alias}' assert "." not in alias # invalid syntax self.module_for[alias] = None self.reverse_alias[alias] = module if require: self.required_names.add(alias) else: # 'import {module}' name = module if require: self.required_names.add(name) # add module and its parent packages while name: self.module_for[name] = None self.direct_imports[name] = module self.reverse_alias.pop(name, None) name = name.rpartition(".")[0] def require_name(self, name: str) -> None: while name not in self.direct_imports and "." in name: name = name.rsplit(".", 1)[0] self.required_names.add(name) def reexport(self, name: str) -> None: """Mark a given non qualified name as needed in __all__. This means that in case it comes from a module, it should be imported with an alias even if the alias is the same as the name. """ self.require_name(name) self.reexports.add(name) def import_lines(self) -> list[str]: """The list of required import lines (as strings with python code). In order for a module be included in this output, an identifier must be both 'required' via require_name() and 'imported' via add_import_from() or add_import() """ result = [] # To summarize multiple names imported from a same module, we collect those # in the `module_map` dictionary, mapping a module path to the list of names that should # be imported from it. the names can also be alias in the form 'original as alias' module_map: Mapping[str, list[str]] = defaultdict(list) for name in sorted( self.required_names, key=lambda n: (self.reverse_alias[n], n) if n in self.reverse_alias else (n, ""), ): # If we haven't seen this name in an import statement, ignore it if name not in self.module_for: continue m = self.module_for[name] if m is not None: # This name was found in a from ... import ... # Collect the name in the module_map if name in self.reverse_alias: name = f"{self.reverse_alias[name]} as {name}" elif name in self.reexports: name = f"{name} as {name}" module_map[m].append(name) else: # This name was found in an import ... # We can already generate the import line if name in self.reverse_alias: source = self.reverse_alias[name] result.append(f"import {source} as {name}\n") elif name in self.reexports: assert "." not in name # Because reexports only has nonqualified names result.append(f"import {name} as {name}\n") else: result.append(f"import {name}\n") # Now generate all the from ... import ... lines collected in module_map for module, names in sorted(module_map.items()): result.append(f"from {module} import {', '.join(sorted(names))}\n") return result @mypyc_attr(allow_interpreted_subclasses=True) class BaseStubGenerator: # These names should be omitted from generated stubs. IGNORED_DUNDERS: Final = { "__all__", "__author__", "__about__", "__copyright__", "__email__", "__license__", "__summary__", "__title__", "__uri__", "__str__", "__repr__", "__getstate__", "__setstate__", "__slots__", "__builtins__", "__cached__", "__file__", "__name__", "__package__", "__path__", "__spec__", "__loader__", } TYPING_MODULE_NAMES: Final = ("typing", "typing_extensions") # Special-cased names that are implicitly exported from the stub (from m import y as y). EXTRA_EXPORTED: Final = { "pyasn1_modules.rfc2437.univ", "pyasn1_modules.rfc2459.char", "pyasn1_modules.rfc2459.univ", } def __init__( self, _all_: list[str] | None = None, include_private: bool = False, export_less: bool = False, include_docstrings: bool = False, ) -> None: # Best known value of __all__. self._all_ = _all_ self._include_private = include_private self._include_docstrings = include_docstrings # Disable implicit exports of package-internal imports? self.export_less = export_less self._import_lines: list[str] = [] self._output: list[str] = [] # Current indent level (indent is hardcoded to 4 spaces). self._indent = "" self._toplevel_names: list[str] = [] self.import_tracker = ImportTracker() # Top-level members self.defined_names: set[str] = set() self.sig_generators = self.get_sig_generators() # populated by visit_mypy_file self.module_name: str = "" # These are "soft" imports for objects which might appear in annotations but not have # a corresponding import statement. self.known_imports = { "_typeshed": ["Incomplete"], "typing": ["Any", "TypeVar", "NamedTuple", "TypedDict"], "collections.abc": ["Generator"], "typing_extensions": ["ParamSpec", "TypeVarTuple"], } def get_sig_generators(self) -> list[SignatureGenerator]: return [] def resolve_name(self, name: str) -> str: """Return the full name resolving imports and import aliases.""" if "." not in name: real_module = self.import_tracker.module_for.get(name) real_short = self.import_tracker.reverse_alias.get(name, name) if real_module is None and real_short not in self.defined_names: real_module = "builtins" # not imported and not defined, must be a builtin else: name_module, real_short = name.split(".", 1) real_module = self.import_tracker.reverse_alias.get(name_module, name_module) resolved_name = real_short if real_module is None else f"{real_module}.{real_short}" return resolved_name def add_name(self, fullname: str, require: bool = True) -> str: """Add a name to be imported and return the name reference. The import will be internal to the stub (i.e don't reexport). """ module, name = fullname.rsplit(".", 1) alias = "_" + name if name in self.defined_names else None while alias in self.defined_names: alias = "_" + alias if module != "builtins" or alias: # don't import from builtins unless needed self.import_tracker.add_import_from(module, [(name, alias)], require=require) return alias or name def add_import_line(self, line: str) -> None: """Add a line of text to the import section, unless it's already there.""" if line not in self._import_lines: self._import_lines.append(line) def get_imports(self) -> str: """Return the import statements for the stub.""" imports = "" if self._import_lines: imports += "".join(self._import_lines) imports += "".join(self.import_tracker.import_lines()) return imports def output(self) -> str: """Return the text for the stub.""" pieces: list[str] = [] if imports := self.get_imports(): pieces.append(imports) if dunder_all := self.get_dunder_all(): pieces.append(dunder_all) if self._output: pieces.append("".join(self._output)) return "\n".join(pieces) def get_dunder_all(self) -> str: """Return the __all__ list for the stub.""" if self._all_: # Note we emit all names in the runtime __all__ here, even if they # don't actually exist. If that happens, the runtime has a bug, and # it's not obvious what the correct behavior should be. We choose # to reflect the runtime __all__ as closely as possible. return f"__all__ = {self._all_!r}\n" return "" def add(self, string: str) -> None: """Add text to generated stub.""" self._output.append(string) def is_top_level(self) -> bool: """Are we processing the top level of a file?""" return self._indent == "" def indent(self) -> None: """Add one level of indentation.""" self._indent += " " def dedent(self) -> None: """Remove one level of indentation.""" self._indent = self._indent[:-4] def record_name(self, name: str) -> None: """Mark a name as defined. This only does anything if at the top level of a module. """ if self.is_top_level(): self._toplevel_names.append(name) def is_recorded_name(self, name: str) -> bool: """Has this name been recorded previously?""" return self.is_top_level() and name in self._toplevel_names def set_defined_names(self, defined_names: set[str]) -> None: self.defined_names = defined_names # Names in __all__ are required for name in self._all_ or (): self.import_tracker.reexport(name) for pkg, imports in self.known_imports.items(): for t in imports: # require=False means that the import won't be added unless require_name() is called # for the object during generation. self.add_name(f"{pkg}.{t}", require=False) def check_undefined_names(self) -> None: undefined_names = [name for name in self._all_ or [] if name not in self._toplevel_names] if undefined_names: if self._output: self.add("\n") self.add("# Names in __all__ with no definition:\n") for name in sorted(undefined_names): self.add(f"# {name}\n") def get_signatures( self, default_signature: FunctionSig, sig_generators: list[SignatureGenerator], func_ctx: FunctionContext, ) -> list[FunctionSig]: for sig_gen in sig_generators: inferred = sig_gen.get_function_sig(default_signature, func_ctx) if inferred: return inferred return [default_signature] def get_property_type( self, default_type: str | None, sig_generators: list[SignatureGenerator], func_ctx: FunctionContext, ) -> str | None: for sig_gen in sig_generators: inferred = sig_gen.get_property_type(default_type, func_ctx) if inferred: return inferred return default_type def format_func_def( self, sigs: list[FunctionSig], is_coroutine: bool = False, decorators: list[str] | None = None, docstring: str | None = None, ) -> list[str]: lines: list[str] = [] if decorators is None: decorators = [] for signature in sigs: # dump decorators, just before "def ..." for deco in decorators: lines.append(f"{self._indent}{deco}") lines.append( signature.format_sig( indent=self._indent, is_async=is_coroutine, docstring=docstring, include_docstrings=self._include_docstrings, ) ) return lines def format_type_args(self, o: TypeAliasStmt | FuncDef | ClassDef) -> str: if not o.type_args: return "" p = AnnotationPrinter(self) type_args_list: list[str] = [] for type_arg in o.type_args: if type_arg.kind == PARAM_SPEC_KIND: prefix = "**" elif type_arg.kind == TYPE_VAR_TUPLE_KIND: prefix = "*" else: prefix = "" if type_arg.upper_bound: bound_or_values = f": {type_arg.upper_bound.accept(p)}" elif type_arg.values: bound_or_values = f": ({', '.join(v.accept(p) for v in type_arg.values)})" else: bound_or_values = "" if type_arg.default: default = f" = {type_arg.default.accept(p)}" else: default = "" type_args_list.append(f"{prefix}{type_arg.name}{bound_or_values}{default}") return "[" + ", ".join(type_args_list) + "]" def print_annotation( self, t: Type, known_modules: list[str] | None = None, local_modules: list[str] | None = None, ) -> str: printer = AnnotationPrinter(self, known_modules, local_modules) return t.accept(printer) def is_not_in_all(self, name: str) -> bool: if self.is_private_name(name): return False if self._all_: return self.is_top_level() and name not in self._all_ return False def is_private_name(self, name: str, fullname: str | None = None) -> bool: if "__mypy-" in name: return True # Never include mypy generated symbols if self._include_private: return False if fullname in self.EXTRA_EXPORTED: return False if name == "_": return False if not name.startswith("_"): return False if self._all_ and name in self._all_: return False if name.startswith("__") and name.endswith("__"): return name in self.IGNORED_DUNDERS return True def should_reexport(self, name: str, full_module: str, name_is_alias: bool) -> bool: if ( not name_is_alias and self.module_name and (self.module_name + "." + name) in self.EXTRA_EXPORTED ): # Special case certain names that should be exported, against our general rules. return True if name_is_alias: return False if self.export_less: return False if not self.module_name: return False is_private = self.is_private_name(name, full_module + "." + name) if is_private: return False top_level = full_module.split(".")[0] self_top_level = self.module_name.split(".", 1)[0] if top_level not in (self_top_level, "_" + self_top_level): # Export imports from the same package, since we can't reliably tell whether they # are part of the public API. return False if self._all_: return name in self._all_ return True ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/subtypes.py0000644000175100017510000030437515112307767015521 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterable, Iterator from contextlib import contextmanager from typing import Any, Callable, Final, TypeVar, cast from typing_extensions import TypeAlias as _TypeAlias import mypy.applytype import mypy.constraints import mypy.typeops from mypy.checker_state import checker_state from mypy.erasetype import erase_type from mypy.expandtype import ( expand_self_type, expand_type, expand_type_by_instance, freshen_function_type_vars, ) from mypy.maptype import map_instance_to_supertype # Circular import; done in the function instead. # import mypy.solve from mypy.nodes import ( ARG_STAR, ARG_STAR2, CONTRAVARIANT, COVARIANT, INVARIANT, VARIANCE_NOT_READY, Context, Decorator, FuncBase, OverloadedFuncDef, TypeInfo, Var, ) from mypy.options import Options from mypy.state import state from mypy.types import ( MYPYC_NATIVE_INT_NAMES, TUPLE_LIKE_INSTANCE_NAMES, TYPED_NAMEDTUPLE_NAMES, AnyType, CallableType, DeletedType, ErasedType, FormalArgument, FunctionLike, Instance, LiteralType, NoneType, NormalizedCallableType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeType, TypeVarTupleType, TypeVarType, TypeVisitor, UnboundType, UninhabitedType, UnionType, UnpackType, find_unpack_in_list, flatten_nested_unions, get_proper_type, is_named_instance, split_with_prefix_and_suffix, ) from mypy.types_utils import flatten_types from mypy.typestate import SubtypeKind, type_state from mypy.typevars import fill_typevars, fill_typevars_with_any # Flags for detected protocol members IS_SETTABLE: Final = 1 IS_CLASSVAR: Final = 2 IS_CLASS_OR_STATIC: Final = 3 IS_VAR: Final = 4 IS_EXPLICIT_SETTER: Final = 5 TypeParameterChecker: _TypeAlias = Callable[[Type, Type, int, bool, "SubtypeContext"], bool] class SubtypeContext: def __init__( self, *, # Non-proper subtype flags ignore_type_params: bool = False, ignore_pos_arg_names: bool = False, ignore_declared_variance: bool = False, # Supported for both proper and non-proper always_covariant: bool = False, ignore_promotions: bool = False, # Proper subtype flags erase_instances: bool = False, keep_erased_types: bool = False, options: Options | None = None, ) -> None: self.ignore_type_params = ignore_type_params self.ignore_pos_arg_names = ignore_pos_arg_names self.ignore_declared_variance = ignore_declared_variance self.always_covariant = always_covariant self.ignore_promotions = ignore_promotions self.erase_instances = erase_instances self.keep_erased_types = keep_erased_types self.options = options def check_context(self, proper_subtype: bool) -> None: # Historically proper and non-proper subtypes were defined using different helpers # and different visitors. Check if flag values are such that we definitely support. if proper_subtype: assert not self.ignore_pos_arg_names and not self.ignore_declared_variance else: assert not self.erase_instances and not self.keep_erased_types def is_subtype( left: Type, right: Type, *, subtype_context: SubtypeContext | None = None, ignore_type_params: bool = False, ignore_pos_arg_names: bool = False, ignore_declared_variance: bool = False, always_covariant: bool = False, ignore_promotions: bool = False, options: Options | None = None, ) -> bool: """Is 'left' subtype of 'right'? Also consider Any to be a subtype of any type, and vice versa. This recursively applies to components of composite types (List[int] is subtype of List[Any], for example). type_parameter_checker is used to check the type parameters (for example, A with B in is_subtype(C[A], C[B]). The default checks for subtype relation between the type arguments (e.g., A and B), taking the variance of the type var into account. """ if left == right: return True if subtype_context is None: subtype_context = SubtypeContext( ignore_type_params=ignore_type_params, ignore_pos_arg_names=ignore_pos_arg_names, ignore_declared_variance=ignore_declared_variance, always_covariant=always_covariant, ignore_promotions=ignore_promotions, options=options, ) else: assert ( not ignore_type_params and not ignore_pos_arg_names and not ignore_declared_variance and not always_covariant and not ignore_promotions and options is None ), "Don't pass both context and individual flags" if type_state.is_assumed_subtype(left, right): return True if mypy.typeops.is_recursive_pair(left, right): # This case requires special care because it may cause infinite recursion. # Our view on recursive types is known under a fancy name of iso-recursive mu-types. # Roughly this means that a recursive type is defined as an alias where right hand side # can refer to the type as a whole, for example: # A = Union[int, Tuple[A, ...]] # and an alias unrolled once represents the *same type*, in our case all these represent # the same type: # A # Union[int, Tuple[A, ...]] # Union[int, Tuple[Union[int, Tuple[A, ...]], ...]] # The algorithm for subtyping is then essentially under the assumption that left <: right, # check that get_proper_type(left) <: get_proper_type(right). On the example above, # If we start with: # A = Union[int, Tuple[A, ...]] # B = Union[int, Tuple[B, ...]] # When checking if A <: B we push pair (A, B) onto 'assuming' stack, then when after few # steps we come back to initial call is_subtype(A, B) and immediately return True. with pop_on_exit(type_state.get_assumptions(is_proper=False), left, right): return _is_subtype(left, right, subtype_context, proper_subtype=False) return _is_subtype(left, right, subtype_context, proper_subtype=False) def is_proper_subtype( left: Type, right: Type, *, subtype_context: SubtypeContext | None = None, ignore_promotions: bool = False, erase_instances: bool = False, keep_erased_types: bool = False, ) -> bool: """Is left a proper subtype of right? For proper subtypes, there's no need to rely on compatibility due to Any types. Every usable type is a proper subtype of itself. If erase_instances is True, erase left instance *after* mapping it to supertype (this is useful for runtime isinstance() checks). If keep_erased_types is True, do not consider ErasedType a subtype of all types (used by type inference against unions). """ if left == right: return True if subtype_context is None: subtype_context = SubtypeContext( ignore_promotions=ignore_promotions, erase_instances=erase_instances, keep_erased_types=keep_erased_types, ) else: assert ( not ignore_promotions and not erase_instances and not keep_erased_types ), "Don't pass both context and individual flags" if type_state.is_assumed_proper_subtype(left, right): return True if mypy.typeops.is_recursive_pair(left, right): # Same as for non-proper subtype, see detailed comment there for explanation. with pop_on_exit(type_state.get_assumptions(is_proper=True), left, right): return _is_subtype(left, right, subtype_context, proper_subtype=True) return _is_subtype(left, right, subtype_context, proper_subtype=True) def is_equivalent( a: Type, b: Type, *, ignore_type_params: bool = False, ignore_pos_arg_names: bool = False, options: Options | None = None, subtype_context: SubtypeContext | None = None, ) -> bool: return is_subtype( a, b, ignore_type_params=ignore_type_params, ignore_pos_arg_names=ignore_pos_arg_names, options=options, subtype_context=subtype_context, ) and is_subtype( b, a, ignore_type_params=ignore_type_params, ignore_pos_arg_names=ignore_pos_arg_names, options=options, subtype_context=subtype_context, ) def is_same_type( a: Type, b: Type, ignore_promotions: bool = True, subtype_context: SubtypeContext | None = None ) -> bool: """Are these types proper subtypes of each other? This means types may have different representation (e.g. an alias, or a non-simplified union) but are semantically exchangeable in all contexts. """ # First, use fast path for some common types. This is performance-critical. if ( type(a) is Instance and type(b) is Instance and a.type == b.type and len(a.args) == len(b.args) and a.last_known_value is b.last_known_value ): return all(is_same_type(x, y) for x, y in zip(a.args, b.args)) elif isinstance(a, TypeVarType) and isinstance(b, TypeVarType) and a.id == b.id: return True # Note that using ignore_promotions=True (default) makes types like int and int64 # considered not the same type (which is the case at runtime). # Also Union[bool, int] (if it wasn't simplified before) will be different # from plain int, etc. return is_proper_subtype( a, b, ignore_promotions=ignore_promotions, subtype_context=subtype_context ) and is_proper_subtype( b, a, ignore_promotions=ignore_promotions, subtype_context=subtype_context ) # This is a common entry point for subtyping checks (both proper and non-proper). # Never call this private function directly, use the public versions. def _is_subtype( left: Type, right: Type, subtype_context: SubtypeContext, proper_subtype: bool ) -> bool: subtype_context.check_context(proper_subtype) orig_right = right orig_left = left left = get_proper_type(left) right = get_proper_type(right) # Note: Unpack type should not be a subtype of Any, since it may represent # multiple types. This should always go through the visitor, to check arity. if ( not proper_subtype and isinstance(right, (AnyType, UnboundType, ErasedType)) and not isinstance(left, UnpackType) ): # TODO: should we consider all types proper subtypes of UnboundType and/or # ErasedType as we do for non-proper subtyping. return True if isinstance(right, UnionType) and not isinstance(left, UnionType): # Normally, when 'left' is not itself a union, the only way # 'left' can be a subtype of the union 'right' is if it is a # subtype of one of the items making up the union. if proper_subtype: is_subtype_of_item = any( is_proper_subtype(orig_left, item, subtype_context=subtype_context) for item in right.items ) else: is_subtype_of_item = any( is_subtype(orig_left, item, subtype_context=subtype_context) for item in right.items ) # Recombine rhs literal types, to make an enum type a subtype # of a union of all enum items as literal types. Only do it if # the previous check didn't succeed, since recombining can be # expensive. # `bool` is a special case, because `bool` is `Literal[True, False]`. if ( not is_subtype_of_item and isinstance(left, Instance) and (left.type.is_enum or left.type.fullname == "builtins.bool") ): right = UnionType( mypy.typeops.try_contracting_literals_in_union(flatten_nested_unions(right.items)) ) if proper_subtype: is_subtype_of_item = any( is_proper_subtype(orig_left, item, subtype_context=subtype_context) for item in right.items ) else: is_subtype_of_item = any( is_subtype(orig_left, item, subtype_context=subtype_context) for item in right.items ) # However, if 'left' is a type variable T, T might also have # an upper bound which is itself a union. This case will be # handled below by the SubtypeVisitor. We have to check both # possibilities, to handle both cases like T <: Union[T, U] # and cases like T <: B where B is the upper bound of T and is # a union. (See #2314.) if not isinstance(left, TypeVarType): return is_subtype_of_item elif is_subtype_of_item: return True # otherwise, fall through return left.accept(SubtypeVisitor(orig_right, subtype_context, proper_subtype)) def check_type_parameter( left: Type, right: Type, variance: int, proper_subtype: bool, subtype_context: SubtypeContext ) -> bool: # It is safe to consider empty collection literals and similar as covariant, since # such type can't be stored in a variable, see checker.is_valid_inferred_type(). if variance == INVARIANT: p_left = get_proper_type(left) if isinstance(p_left, UninhabitedType) and p_left.ambiguous: variance = COVARIANT # If variance hasn't been inferred yet, we are lenient and default to # covariance. This shouldn't happen often, but it's very difficult to # avoid these cases altogether. if variance == COVARIANT or variance == VARIANCE_NOT_READY: if proper_subtype: return is_proper_subtype(left, right, subtype_context=subtype_context) else: return is_subtype(left, right, subtype_context=subtype_context) elif variance == CONTRAVARIANT: if proper_subtype: return is_proper_subtype(right, left, subtype_context=subtype_context) else: return is_subtype(right, left, subtype_context=subtype_context) else: if proper_subtype: # We pass ignore_promotions=False because it is a default for subtype checks. # The actual value will be taken from the subtype_context, and it is whatever # the original caller passed. return is_same_type( left, right, ignore_promotions=False, subtype_context=subtype_context ) else: return is_equivalent(left, right, subtype_context=subtype_context) class SubtypeVisitor(TypeVisitor[bool]): __slots__ = ( "right", "orig_right", "proper_subtype", "subtype_context", "options", "_subtype_kind", ) def __init__(self, right: Type, subtype_context: SubtypeContext, proper_subtype: bool) -> None: self.right = get_proper_type(right) self.orig_right = right self.proper_subtype = proper_subtype self.subtype_context = subtype_context self.options = subtype_context.options self._subtype_kind = SubtypeVisitor.build_subtype_kind(subtype_context, proper_subtype) @staticmethod def build_subtype_kind(subtype_context: SubtypeContext, proper_subtype: bool) -> SubtypeKind: return ( state.strict_optional, proper_subtype, subtype_context.ignore_type_params, subtype_context.ignore_pos_arg_names, subtype_context.ignore_declared_variance, subtype_context.always_covariant, subtype_context.ignore_promotions, subtype_context.erase_instances, subtype_context.keep_erased_types, ) def _is_subtype(self, left: Type, right: Type) -> bool: if self.proper_subtype: return is_proper_subtype(left, right, subtype_context=self.subtype_context) return is_subtype(left, right, subtype_context=self.subtype_context) def _all_subtypes(self, lefts: Iterable[Type], rights: Iterable[Type]) -> bool: return all(self._is_subtype(li, ri) for (li, ri) in zip(lefts, rights)) # visit_x(left) means: is left (which is an instance of X) a subtype of right? def visit_unbound_type(self, left: UnboundType) -> bool: # This can be called if there is a bad type annotation. The result probably # doesn't matter much but by returning True we simplify these bad types away # from unions, which could filter out some bogus messages. return True def visit_any(self, left: AnyType) -> bool: return isinstance(self.right, AnyType) if self.proper_subtype else True def visit_none_type(self, left: NoneType) -> bool: if state.strict_optional: if isinstance(self.right, NoneType) or is_named_instance( self.right, "builtins.object" ): return True if isinstance(self.right, Instance) and self.right.type.is_protocol: members = self.right.type.protocol_members # None is compatible with Hashable (and other similar protocols). This is # slightly sloppy since we don't check the signature of "__hash__". # None is also compatible with `SupportsStr` protocol. return not members or all(member in ("__hash__", "__str__") for member in members) return False else: return True def visit_uninhabited_type(self, left: UninhabitedType) -> bool: return True def visit_erased_type(self, left: ErasedType) -> bool: # This may be encountered during type inference. The result probably doesn't # matter much. # TODO: it actually does matter, figure out more principled logic about this. return not self.subtype_context.keep_erased_types def visit_deleted_type(self, left: DeletedType) -> bool: return True def visit_instance(self, left: Instance) -> bool: if left.type.fallback_to_any and not self.proper_subtype: # NOTE: `None` is a *non-subclassable* singleton, therefore no class # can by a subtype of it, even with an `Any` fallback. # This special case is needed to treat descriptors in classes with # dynamic base classes correctly, see #5456. return not isinstance(self.right, NoneType) right = self.right if isinstance(right, TupleType) and right.partial_fallback.type.is_enum: return self._is_subtype(left, mypy.typeops.tuple_fallback(right)) if isinstance(right, TupleType): if len(right.items) == 1: # Non-normalized Tuple type (may be left after semantic analysis # because semanal_typearg visitor is not a type translator). item = right.items[0] if isinstance(item, UnpackType): unpacked = get_proper_type(item.type) if isinstance(unpacked, Instance): return self._is_subtype(left, unpacked) if left.type.has_base(right.partial_fallback.type.fullname): if not self.proper_subtype: # Special cases to consider: # * Plain tuple[Any, ...] instance is a subtype of all tuple types. # * Foo[*tuple[Any, ...]] (normalized) instance is a subtype of all # tuples with fallback to Foo (e.g. for variadic NamedTuples). mapped = map_instance_to_supertype(left, right.partial_fallback.type) if is_erased_instance(mapped): if ( mapped.type.fullname == "builtins.tuple" or mapped.type.has_type_var_tuple_type ): return True return False if isinstance(right, TypeVarTupleType): # tuple[Any, ...] is like Any in the world of tuples (see special case above). if left.type.has_base("builtins.tuple"): mapped = map_instance_to_supertype(left, right.tuple_fallback.type) if isinstance(get_proper_type(mapped.args[0]), AnyType): return not self.proper_subtype if isinstance(right, Instance): if type_state.is_cached_subtype_check(self._subtype_kind, left, right): return True if type_state.is_cached_negative_subtype_check(self._subtype_kind, left, right): return False if not self.subtype_context.ignore_promotions and not right.type.is_protocol: for base in left.type.mro: if base._promote and any( self._is_subtype(p, self.right) for p in base._promote ): type_state.record_subtype_cache_entry(self._subtype_kind, left, right) return True # Special case: Low-level integer types are compatible with 'int'. We can't # use promotions, since 'int' is already promoted to low-level integer types, # and we can't have circular promotions. if left.type.alt_promote and left.type.alt_promote.type is right.type: return True rname = right.type.fullname # Always try a nominal check if possible, # there might be errors that a user wants to silence *once*. # NamedTuples are a special case, because `NamedTuple` is not listed # in `TypeInfo.mro`, so when `(a: NamedTuple) -> None` is used, # we need to check for `is_named_tuple` property if ( left.type.has_base(rname) or rname == "builtins.object" or ( rname in TYPED_NAMEDTUPLE_NAMES and any(l.is_named_tuple for l in left.type.mro) ) ) and not self.subtype_context.ignore_declared_variance: # Map left type to corresponding right instances. t = map_instance_to_supertype(left, right.type) if self.subtype_context.erase_instances: erased = erase_type(t) assert isinstance(erased, Instance) t = erased nominal = True if right.type.has_type_var_tuple_type: # For variadic instances we simply find the correct type argument mappings, # all the heavy lifting is done by the tuple subtyping. assert right.type.type_var_tuple_prefix is not None assert right.type.type_var_tuple_suffix is not None prefix = right.type.type_var_tuple_prefix suffix = right.type.type_var_tuple_suffix tvt = right.type.defn.type_vars[prefix] assert isinstance(tvt, TypeVarTupleType) fallback = tvt.tuple_fallback left_prefix, left_middle, left_suffix = split_with_prefix_and_suffix( t.args, prefix, suffix ) right_prefix, right_middle, right_suffix = split_with_prefix_and_suffix( right.args, prefix, suffix ) left_args = ( left_prefix + (TupleType(list(left_middle), fallback),) + left_suffix ) right_args = ( right_prefix + (TupleType(list(right_middle), fallback),) + right_suffix ) if not self.proper_subtype and is_erased_instance(t): return True if len(left_args) != len(right_args): return False type_params = zip(left_args, right_args, right.type.defn.type_vars) else: type_params = zip(t.args, right.args, right.type.defn.type_vars) if not self.subtype_context.ignore_type_params: tried_infer = False for lefta, righta, tvar in type_params: if isinstance(tvar, TypeVarType): if tvar.variance == VARIANCE_NOT_READY and not tried_infer: infer_class_variances(right.type) tried_infer = True if ( self.subtype_context.always_covariant and tvar.variance == INVARIANT ): variance = COVARIANT else: variance = tvar.variance if not check_type_parameter( lefta, righta, variance, self.proper_subtype, self.subtype_context ): nominal = False else: # TODO: everywhere else ParamSpecs are handled as invariant. if not check_type_parameter( lefta, righta, COVARIANT, self.proper_subtype, self.subtype_context ): nominal = False if nominal: type_state.record_subtype_cache_entry(self._subtype_kind, left, right) else: type_state.record_negative_subtype_cache_entry(self._subtype_kind, left, right) return nominal if right.type.is_protocol and is_protocol_implementation( left, right, proper_subtype=self.proper_subtype, options=self.options ): return True # We record negative cache entry here, and not in the protocol check like we do for # positive cache, to avoid accidentally adding a type that is not a structural # subtype, but is a nominal subtype (involving type: ignore override). type_state.record_negative_subtype_cache_entry(self._subtype_kind, left, right) return False if isinstance(right, TypeType): item = right.item if isinstance(item, TupleType): item = mypy.typeops.tuple_fallback(item) # TODO: this is a bit arbitrary, we should only skip Any-related cases. if not self.proper_subtype: if is_named_instance(left, "builtins.type"): return self._is_subtype(TypeType(AnyType(TypeOfAny.special_form)), right) if left.type.is_metaclass(): if isinstance(item, AnyType): return True if isinstance(item, Instance): return is_named_instance(item, "builtins.object") if isinstance(right, LiteralType) and left.last_known_value is not None: return self._is_subtype(left.last_known_value, right) if isinstance(right, FunctionLike): # Special case: Instance can be a subtype of Callable / Overloaded. call = find_member("__call__", left, left, is_operator=True) if call: return self._is_subtype(call, right) return False else: return False def visit_type_var(self, left: TypeVarType) -> bool: right = self.right if isinstance(right, TypeVarType) and left.id == right.id: # Fast path for most common case. if left.upper_bound == right.upper_bound: return True # Corner case for self-types in classes generic in type vars # with value restrictions. if left.id.is_self(): return True return self._is_subtype(left.upper_bound, right.upper_bound) if left.values and self._is_subtype(UnionType.make_union(left.values), right): return True return self._is_subtype(left.upper_bound, self.right) def visit_param_spec(self, left: ParamSpecType) -> bool: right = self.right if ( isinstance(right, ParamSpecType) and right.id == left.id and right.flavor == left.flavor ): return self._is_subtype(left.prefix, right.prefix) if isinstance(right, Parameters) and are_trivial_parameters(right): return True return self._is_subtype(left.upper_bound, self.right) def visit_type_var_tuple(self, left: TypeVarTupleType) -> bool: right = self.right if isinstance(right, TypeVarTupleType) and right.id == left.id: return left.min_len >= right.min_len return self._is_subtype(left.upper_bound, self.right) def visit_unpack_type(self, left: UnpackType) -> bool: # TODO: Ideally we should not need this (since it is not a real type). # Instead callers (upper level types) should handle it when it appears in type list. if isinstance(self.right, UnpackType): return self._is_subtype(left.type, self.right.type) if isinstance(self.right, Instance) and self.right.type.fullname == "builtins.object": return True return False def visit_parameters(self, left: Parameters) -> bool: if isinstance(self.right, Parameters): return are_parameters_compatible( left, self.right, is_compat=self._is_subtype, # TODO: this should pass the current value, but then couple tests fail. is_proper_subtype=False, ignore_pos_arg_names=self.subtype_context.ignore_pos_arg_names, ) elif isinstance(self.right, Instance): return self.right.type.fullname == "builtins.object" else: return False def visit_callable_type(self, left: CallableType) -> bool: right = self.right if isinstance(right, CallableType): if left.type_guard is not None and right.type_guard is not None: if not self._is_subtype(left.type_guard, right.type_guard): return False elif left.type_is is not None and right.type_is is not None: # For TypeIs we have to check both ways; it is unsafe to pass # a TypeIs[Child] when a TypeIs[Parent] is expected, because # if the narrower returns False, we assume that the narrowed value is # *not* a Parent. if not self._is_subtype(left.type_is, right.type_is) or not self._is_subtype( right.type_is, left.type_is ): return False elif right.type_guard is not None and left.type_guard is None: # This means that one function has `TypeGuard` and other does not. # They are not compatible. See https://github.com/python/mypy/issues/11307 return False elif right.type_is is not None and left.type_is is None: # Similarly, if one function has `TypeIs` and the other does not, # they are not compatible. return False return is_callable_compatible( left, right, is_compat=self._is_subtype, is_proper_subtype=self.proper_subtype, ignore_pos_arg_names=self.subtype_context.ignore_pos_arg_names, strict_concatenate=( (self.options.extra_checks or self.options.strict_concatenate) if self.options else False ), ) elif isinstance(right, Overloaded): return all(self._is_subtype(left, item) for item in right.items) elif isinstance(right, Instance): if right.type.is_protocol and "__call__" in right.type.protocol_members: # OK, a callable can implement a protocol with a `__call__` member. call = find_member("__call__", right, right, is_operator=True) assert call is not None if self._is_subtype(left, call): if len(right.type.protocol_members) == 1: return True if is_protocol_implementation(left.fallback, right, skip=["__call__"]): return True if right.type.is_protocol and left.is_type_obj(): ret_type = get_proper_type(left.ret_type) if isinstance(ret_type, TupleType): ret_type = mypy.typeops.tuple_fallback(ret_type) if isinstance(ret_type, Instance) and is_protocol_implementation( ret_type, right, proper_subtype=self.proper_subtype, class_obj=True ): return True return self._is_subtype(left.fallback, right) elif isinstance(right, TypeType): # This is unsound, we don't check the __init__ signature. return left.is_type_obj() and self._is_subtype(left.ret_type, right.item) else: return False def visit_tuple_type(self, left: TupleType) -> bool: right = self.right if isinstance(right, Instance): if is_named_instance(right, "typing.Sized"): return True elif is_named_instance(right, TUPLE_LIKE_INSTANCE_NAMES): if right.args: iter_type = right.args[0] else: if self.proper_subtype: return False iter_type = AnyType(TypeOfAny.special_form) if is_named_instance(right, "builtins.tuple") and isinstance( get_proper_type(iter_type), AnyType ): # TODO: We shouldn't need this special case. This is currently needed # for isinstance(x, tuple), though it's unclear why. return True for li in left.items: if isinstance(li, UnpackType): unpack = get_proper_type(li.type) if isinstance(unpack, TypeVarTupleType): unpack = get_proper_type(unpack.upper_bound) assert ( isinstance(unpack, Instance) and unpack.type.fullname == "builtins.tuple" ) li = unpack.args[0] if not self._is_subtype(li, iter_type): return False return True elif self._is_subtype(left.partial_fallback, right) and self._is_subtype( mypy.typeops.tuple_fallback(left), right ): return True return False elif isinstance(right, TupleType): # If right has a variadic unpack this needs special handling. If there is a TypeVarTuple # unpack, item count must coincide. If the left has variadic unpack but right # doesn't have one, we will fall through to False down the line. if self.variadic_tuple_subtype(left, right): return True if len(left.items) != len(right.items): return False if any(not self._is_subtype(l, r) for l, r in zip(left.items, right.items)): return False if is_named_instance(right.partial_fallback, "builtins.tuple"): # No need to verify fallback. This is useful since the calculated fallback # may be inconsistent due to how we calculate joins between unions vs. # non-unions. For example, join(int, str) == object, whereas # join(Union[int, C], Union[str, C]) == Union[int, str, C]. return True if is_named_instance(left.partial_fallback, "builtins.tuple"): # Again, no need to verify. At this point we know the right fallback # is a subclass of tuple, so if left is plain tuple, it cannot be a subtype. return False # At this point we know both fallbacks are non-tuple. return self._is_subtype(left.partial_fallback, right.partial_fallback) else: return False def variadic_tuple_subtype(self, left: TupleType, right: TupleType) -> bool: """Check subtyping between two potentially variadic tuples. Most non-trivial cases here are due to variadic unpacks like *tuple[X, ...], we handle such unpacks as infinite unions Tuple[()] | Tuple[X] | Tuple[X, X] | ... Note: the cases where right is fixed or has *Ts unpack should be handled by the caller. """ right_unpack_index = find_unpack_in_list(right.items) if right_unpack_index is None: # This case should be handled by the caller. return False right_unpack = right.items[right_unpack_index] assert isinstance(right_unpack, UnpackType) right_unpacked = get_proper_type(right_unpack.type) if not isinstance(right_unpacked, Instance): # This case should be handled by the caller. return False assert right_unpacked.type.fullname == "builtins.tuple" right_item = right_unpacked.args[0] right_prefix = right_unpack_index right_suffix = len(right.items) - right_prefix - 1 left_unpack_index = find_unpack_in_list(left.items) if left_unpack_index is None: # Simple case: left is fixed, simply find correct mapping to the right # (effectively selecting item with matching length from an infinite union). if len(left.items) < right_prefix + right_suffix: return False prefix, middle, suffix = split_with_prefix_and_suffix( tuple(left.items), right_prefix, right_suffix ) if not all( self._is_subtype(li, ri) for li, ri in zip(prefix, right.items[:right_prefix]) ): return False if right_suffix and not all( self._is_subtype(li, ri) for li, ri in zip(suffix, right.items[-right_suffix:]) ): return False return all(self._is_subtype(li, right_item) for li in middle) else: if len(left.items) < len(right.items): # There are some items on the left that will never have a matching length # on the right. return False left_prefix = left_unpack_index left_suffix = len(left.items) - left_prefix - 1 left_unpack = left.items[left_unpack_index] assert isinstance(left_unpack, UnpackType) left_unpacked = get_proper_type(left_unpack.type) if not isinstance(left_unpacked, Instance): # *Ts unpack can't be split, except if it is all mapped to Anys or objects. if self.is_top_type(right_item): right_prefix_types, middle, right_suffix_types = split_with_prefix_and_suffix( tuple(right.items), left_prefix, left_suffix ) if not all( self.is_top_type(ri) or isinstance(ri, UnpackType) for ri in middle ): return False # Also check the tails match as well. return self._all_subtypes( left.items[:left_prefix], right_prefix_types ) and self._all_subtypes(left.items[-left_suffix:], right_suffix_types) return False assert left_unpacked.type.fullname == "builtins.tuple" left_item = left_unpacked.args[0] # The most tricky case with two variadic unpacks we handle similar to union # subtyping: *each* item on the left, must be a subtype of *some* item on the right. # For this we first check the "asymptotic case", i.e. that both unpacks a subtypes, # and then check subtyping for all finite overlaps. if not self._is_subtype(left_item, right_item): return False max_overlap = max(0, right_prefix - left_prefix, right_suffix - left_suffix) for overlap in range(max_overlap + 1): repr_items = left.items[:left_prefix] + [left_item] * overlap if left_suffix: repr_items += left.items[-left_suffix:] left_repr = left.copy_modified(items=repr_items) if not self._is_subtype(left_repr, right): return False return True def is_top_type(self, typ: Type) -> bool: if not self.proper_subtype and isinstance(get_proper_type(typ), AnyType): return True return is_named_instance(typ, "builtins.object") def visit_typeddict_type(self, left: TypedDictType) -> bool: right = self.right if isinstance(right, Instance): return self._is_subtype(left.fallback, right) elif isinstance(right, TypedDictType): if left == right: return True # Fast path if not left.names_are_wider_than(right): return False for name, l, r in left.zip(right): # TODO: should we pass on the full subtype_context here and below? right_readonly = name in right.readonly_keys if not right_readonly: if self.proper_subtype: check = is_same_type(l, r) else: check = is_equivalent( l, r, ignore_type_params=self.subtype_context.ignore_type_params, options=self.options, ) else: # Read-only items behave covariantly check = self._is_subtype(l, r) if not check: return False # Non-required key is not compatible with a required key since # indexing may fail unexpectedly if a required key is missing. # Required key is not compatible with a non-read-only non-required # key since the prior doesn't support 'del' but the latter should # support it. # Required key is compatible with a read-only non-required key. required_differ = (name in left.required_keys) != (name in right.required_keys) if not right_readonly and required_differ: return False # Readonly fields check: # # A = TypedDict('A', {'x': ReadOnly[int]}) # B = TypedDict('B', {'x': int}) # def reset_x(b: B) -> None: # b['x'] = 0 # # So, `A` cannot be a subtype of `B`, while `B` can be a subtype of `A`, # because you can use `B` everywhere you use `A`, but not the other way around. if name in left.readonly_keys and name not in right.readonly_keys: return False # (NOTE: Fallbacks don't matter.) return True else: return False def visit_literal_type(self, left: LiteralType) -> bool: if isinstance(self.right, LiteralType): return left == self.right else: return self._is_subtype(left.fallback, self.right) def visit_overloaded(self, left: Overloaded) -> bool: right = self.right if isinstance(right, Instance): if right.type.is_protocol and "__call__" in right.type.protocol_members: # same as for CallableType call = find_member("__call__", right, right, is_operator=True) assert call is not None if self._is_subtype(left, call): if len(right.type.protocol_members) == 1: return True if is_protocol_implementation(left.fallback, right, skip=["__call__"]): return True return self._is_subtype(left.fallback, right) elif isinstance(right, CallableType): for item in left.items: if self._is_subtype(item, right): return True return False elif isinstance(right, Overloaded): if left == self.right: # When it is the same overload, then the types are equal. return True # Ensure each overload on the right side (the supertype) is accounted for. previous_match_left_index = -1 matched_overloads = set() for right_item in right.items: found_match = False for left_index, left_item in enumerate(left.items): subtype_match = self._is_subtype(left_item, right_item) # Order matters: we need to make sure that the index of # this item is at least the index of the previous one. if subtype_match and previous_match_left_index <= left_index: previous_match_left_index = left_index found_match = True matched_overloads.add(left_index) break else: # If this one overlaps with the supertype in any way, but it wasn't # an exact match, then it's a potential error. strict_concat = ( (self.options.extra_checks or self.options.strict_concatenate) if self.options else False ) if left_index not in matched_overloads and ( is_callable_compatible( left_item, right_item, is_compat=self._is_subtype, is_proper_subtype=self.proper_subtype, ignore_return=True, ignore_pos_arg_names=self.subtype_context.ignore_pos_arg_names, strict_concatenate=strict_concat, ) or is_callable_compatible( right_item, left_item, is_compat=self._is_subtype, is_proper_subtype=self.proper_subtype, ignore_return=True, ignore_pos_arg_names=self.subtype_context.ignore_pos_arg_names, strict_concatenate=strict_concat, ) ): return False if not found_match: return False return True elif isinstance(right, UnboundType): return True elif isinstance(right, TypeType): # All the items must have the same type object status, so # it's sufficient to query only (any) one of them. # This is unsound, we don't check all the __init__ signatures. return left.is_type_obj() and self._is_subtype(left.items[0], right) else: return False def visit_union_type(self, left: UnionType) -> bool: if isinstance(self.right, Instance): literal_types: set[Instance] = set() # avoid redundant check for union of literals for item in left.relevant_items(): p_item = get_proper_type(item) lit_type = mypy.typeops.simple_literal_type(p_item) if lit_type is not None: if lit_type in literal_types: continue literal_types.add(lit_type) item = lit_type if not self._is_subtype(item, self.orig_right): return False return True elif isinstance(self.right, UnionType): # prune literals early to avoid nasty quadratic behavior which would otherwise arise when checking # subtype relationships between slightly different narrowings of an Enum # we achieve O(N+M) instead of O(N*M) fast_check: set[ProperType] = set() for item in flatten_types(self.right.relevant_items()): p_item = get_proper_type(item) fast_check.add(p_item) if isinstance(p_item, Instance) and p_item.last_known_value is not None: fast_check.add(p_item.last_known_value) for item in left.relevant_items(): p_item = get_proper_type(item) if p_item in fast_check: continue lit_type = mypy.typeops.simple_literal_type(p_item) if lit_type in fast_check: continue if not self._is_subtype(item, self.orig_right): return False return True return all(self._is_subtype(item, self.orig_right) for item in left.items) def visit_partial_type(self, left: PartialType) -> bool: # This is indeterminate as we don't really know the complete type yet. if self.proper_subtype: # TODO: What's the right thing to do here? return False if left.type is None: # Special case, partial `None`. This might happen when defining # class-level attributes with explicit `None`. # We can still recover from this. # https://github.com/python/mypy/issues/11105 return self.visit_none_type(NoneType()) raise RuntimeError(f'Partial type "{left}" cannot be checked with "issubtype()"') def visit_type_type(self, left: TypeType) -> bool: right = self.right if left.is_type_form: if isinstance(right, TypeType): if not right.is_type_form: return False return self._is_subtype(left.item, right.item) if isinstance(right, Instance): if right.type.fullname == "builtins.object": return True return False return False else: # not left.is_type_form if isinstance(right, TypeType): return self._is_subtype(left.item, right.item) if isinstance(right, Overloaded) and right.is_type_obj(): # Same as in other direction: if it's a constructor callable, all # items should belong to the same class' constructor, so it's enough # to check one of them. return self._is_subtype(left, right.items[0]) if isinstance(right, CallableType): if self.proper_subtype and not right.is_type_obj(): # We can't accept `Type[X]` as a *proper* subtype of Callable[P, X] # since this will break transitivity of subtyping. return False # This is unsound, we don't check the __init__ signature. return self._is_subtype(left.item, right.ret_type) if isinstance(right, Instance): if right.type.fullname in ["builtins.object", "builtins.type"]: # TODO: Strictly speaking, the type builtins.type is considered equivalent to # Type[Any]. However, this would break the is_proper_subtype check in # conditional_types for cases like isinstance(x, type) when the type # of x is Type[int]. It's unclear what's the right way to address this. return True item = left.item if isinstance(item, TypeVarType): item = get_proper_type(item.upper_bound) if isinstance(item, Instance): if right.type.is_protocol and is_protocol_implementation( item, right, proper_subtype=self.proper_subtype, class_obj=True ): return True metaclass = item.type.metaclass_type return metaclass is not None and self._is_subtype(metaclass, right) return False def visit_type_alias_type(self, left: TypeAliasType) -> bool: assert False, f"This should be never called, got {left}" T = TypeVar("T", bound=Type) @contextmanager def pop_on_exit(stack: list[tuple[T, T]], left: T, right: T) -> Iterator[None]: stack.append((left, right)) yield stack.pop() def is_protocol_implementation( left: Instance, right: Instance, proper_subtype: bool = False, class_obj: bool = False, skip: list[str] | None = None, options: Options | None = None, ) -> bool: """Check whether 'left' implements the protocol 'right'. If 'proper_subtype' is True, then check for a proper subtype. Treat recursive protocols by using the 'assuming' structural subtype matrix (in sparse representation, i.e. as a list of pairs (subtype, supertype)), see also comment in nodes.TypeInfo. When we enter a check for classes (A, P), defined as following:: class P(Protocol): def f(self) -> P: ... class A: def f(self) -> A: ... this results in A being a subtype of P without infinite recursion. On every false result, we pop the assumption, thus avoiding an infinite recursion as well. """ assert right.type.is_protocol if skip is None: skip = [] # We need to record this check to generate protocol fine-grained dependencies. type_state.record_protocol_subtype_check(left.type, right.type) # nominal subtyping currently ignores '__init__' and '__new__' signatures members_not_to_check = {"__init__", "__new__"} members_not_to_check.update(skip) # Trivial check that circumvents the bug described in issue 9771: if left.type.is_protocol: members_right = set(right.type.protocol_members) - members_not_to_check members_left = set(left.type.protocol_members) - members_not_to_check if not members_right.issubset(members_left): return False assuming = right.type.assuming_proper if proper_subtype else right.type.assuming for l, r in reversed(assuming): if l == left and r == right: return True with pop_on_exit(assuming, left, right): for member in right.type.protocol_members: if member in members_not_to_check: continue ignore_names = member != "__call__" # __call__ can be passed kwargs # The third argument below indicates to what self type is bound. # We always bind self to the subtype. (Similarly to nominal types). supertype = find_member(member, right, left) assert supertype is not None subtype = mypy.typeops.get_protocol_member(left, member, class_obj) # Useful for debugging: # print(member, 'of', left, 'has type', subtype) # print(member, 'of', right, 'has type', supertype) if not subtype: return False if not proper_subtype: # Nominal check currently ignores arg names # NOTE: If we ever change this, be sure to also change the call to # SubtypeVisitor.build_subtype_kind(...) down below. is_compat = is_subtype( subtype, supertype, ignore_pos_arg_names=ignore_names, options=options ) else: is_compat = is_proper_subtype(subtype, supertype) if not is_compat: return False if isinstance(get_proper_type(subtype), NoneType) and isinstance( get_proper_type(supertype), CallableType ): # We want __hash__ = None idiom to work even without --strict-optional return False subflags = get_member_flags(member, left, class_obj=class_obj) superflags = get_member_flags(member, right) if IS_SETTABLE in superflags: # Check opposite direction for settable attributes. if IS_EXPLICIT_SETTER in superflags: supertype = find_member(member, right, left, is_lvalue=True) if IS_EXPLICIT_SETTER in subflags: subtype = mypy.typeops.get_protocol_member( left, member, class_obj, is_lvalue=True ) # At this point we know attribute is present on subtype, otherwise we # would return False above. assert supertype is not None and subtype is not None if not is_subtype(supertype, subtype, options=options): return False if IS_SETTABLE in superflags and IS_SETTABLE not in subflags: return False if not class_obj: if IS_SETTABLE not in superflags: if IS_CLASSVAR in superflags and IS_CLASSVAR not in subflags: return False elif (IS_CLASSVAR in subflags) != (IS_CLASSVAR in superflags): return False else: if IS_VAR in superflags and IS_CLASSVAR not in subflags: # Only class variables are allowed for class object access. return False if IS_CLASSVAR in superflags: # This can be never matched by a class object. return False # This rule is copied from nominal check in checker.py if IS_CLASS_OR_STATIC in superflags and IS_CLASS_OR_STATIC not in subflags: return False if not proper_subtype: # Nominal check currently ignores arg names, but __call__ is special for protocols ignore_names = right.type.protocol_members != ["__call__"] else: ignore_names = False subtype_kind = SubtypeVisitor.build_subtype_kind( subtype_context=SubtypeContext(ignore_pos_arg_names=ignore_names), proper_subtype=proper_subtype, ) type_state.record_subtype_cache_entry(subtype_kind, left, right) return True def find_member( name: str, itype: Instance, subtype: Type, *, is_operator: bool = False, class_obj: bool = False, is_lvalue: bool = False, ) -> Type | None: type_checker = checker_state.type_checker if type_checker is None: # Unfortunately, there are many scenarios where someone calls is_subtype() before # type checking phase. In this case we fallback to old (incomplete) logic. # TODO: reduce number of such cases (e.g. semanal_typeargs, post-semanal plugins). return find_member_simple( name, itype, subtype, is_operator=is_operator, class_obj=class_obj, is_lvalue=is_lvalue ) # We don't use ATTR_DEFINED error code below (since missing attributes can cause various # other error codes), instead we perform quick node lookup with all the fallbacks. info = itype.type sym = info.get(name) node = sym.node if sym else None if not node: name_not_found = True if ( name not in ["__getattr__", "__setattr__", "__getattribute__"] and not is_operator and not class_obj and itype.extra_attrs is None # skip ModuleType.__getattr__ ): for method_name in ("__getattribute__", "__getattr__"): method = info.get_method(method_name) if method and method.info.fullname != "builtins.object": name_not_found = False break if name_not_found: if info.fallback_to_any or class_obj and info.meta_fallback_to_any: return AnyType(TypeOfAny.special_form) if itype.extra_attrs and name in itype.extra_attrs.attrs: return itype.extra_attrs.attrs[name] return None from mypy.checkmember import ( MemberContext, analyze_class_attribute_access, analyze_instance_member_access, ) mx = MemberContext( is_lvalue=is_lvalue, is_super=False, is_operator=is_operator, original_type=TypeType.make_normalized(itype) if class_obj else itype, self_type=TypeType.make_normalized(subtype) if class_obj else subtype, context=Context(), # all errors are filtered, but this is a required argument chk=type_checker, suppress_errors=True, # This is needed to avoid infinite recursion in situations involving protocols like # class P(Protocol[T]): # def combine(self, other: P[S]) -> P[Tuple[T, S]]: ... # Normally we call freshen_all_functions_type_vars() during attribute access, # to avoid type variable id collisions, but for protocols this means we can't # use the assumption stack, that will grow indefinitely. # TODO: find a cleaner solution that doesn't involve massive perf impact. preserve_type_var_ids=True, ) with type_checker.msg.filter_errors(filter_deprecated=True): if class_obj: fallback = itype.type.metaclass_type or mx.named_type("builtins.type") return analyze_class_attribute_access(itype, name, mx, mcs_fallback=fallback) else: return analyze_instance_member_access(name, itype, mx, info) def find_member_simple( name: str, itype: Instance, subtype: Type, *, is_operator: bool = False, class_obj: bool = False, is_lvalue: bool = False, ) -> Type | None: """Find the type of member by 'name' in 'itype's TypeInfo. Find the member type after applying type arguments from 'itype', and binding 'self' to 'subtype'. Return None if member was not found. """ info = itype.type method = info.get_method(name) if method: if isinstance(method, Decorator): return find_node_type(method.var, itype, subtype, class_obj=class_obj) if method.is_property: assert isinstance(method, OverloadedFuncDef) dec = method.items[0] assert isinstance(dec, Decorator) # Pass on is_lvalue flag as this may be a property with different setter type. return find_node_type( dec.var, itype, subtype, class_obj=class_obj, is_lvalue=is_lvalue ) return find_node_type(method, itype, subtype, class_obj=class_obj) else: # don't have such method, maybe variable or decorator? node = info.get(name) v = node.node if node else None if isinstance(v, Var): return find_node_type(v, itype, subtype, class_obj=class_obj) if ( not v and name not in ["__getattr__", "__setattr__", "__getattribute__"] and not is_operator and not class_obj and itype.extra_attrs is None # skip ModuleType.__getattr__ ): for method_name in ("__getattribute__", "__getattr__"): # Normally, mypy assumes that instances that define __getattr__ have all # attributes with the corresponding return type. If this will produce # many false negatives, then this could be prohibited for # structural subtyping. method = info.get_method(method_name) if method and method.info.fullname != "builtins.object": if isinstance(method, Decorator): getattr_type = get_proper_type(find_node_type(method.var, itype, subtype)) else: getattr_type = get_proper_type(find_node_type(method, itype, subtype)) if isinstance(getattr_type, CallableType): return getattr_type.ret_type return getattr_type if itype.type.fallback_to_any or class_obj and itype.type.meta_fallback_to_any: return AnyType(TypeOfAny.special_form) if isinstance(v, TypeInfo): # PEP 544 doesn't specify anything about such use cases. So we just try # to do something meaningful (at least we should not crash). return TypeType(fill_typevars_with_any(v)) if itype.extra_attrs and name in itype.extra_attrs.attrs: return itype.extra_attrs.attrs[name] return None def get_member_flags(name: str, itype: Instance, class_obj: bool = False) -> set[int]: """Detect whether a member 'name' is settable, whether it is an instance or class variable, and whether it is class or static method. The flags are defined as following: * IS_SETTABLE: whether this attribute can be set, not set for methods and non-settable properties; * IS_CLASSVAR: set if the variable is annotated as 'x: ClassVar[t]'; * IS_CLASS_OR_STATIC: set for methods decorated with @classmethod or with @staticmethod. """ info = itype.type method = info.get_method(name) setattr_meth = info.get_method("__setattr__") if method: if isinstance(method, Decorator): if method.var.is_staticmethod or method.var.is_classmethod: return {IS_CLASS_OR_STATIC} elif method.var.is_property: return {IS_VAR} elif method.is_property: # this could be settable property assert isinstance(method, OverloadedFuncDef) dec = method.items[0] assert isinstance(dec, Decorator) if dec.var.is_settable_property or setattr_meth: flags = {IS_VAR, IS_SETTABLE} if dec.var.setter_type is not None: flags.add(IS_EXPLICIT_SETTER) return flags else: return {IS_VAR} return set() # Just a regular method node = info.get(name) if not node: if setattr_meth: return {IS_SETTABLE} if itype.extra_attrs and name in itype.extra_attrs.attrs: flags = set() if name not in itype.extra_attrs.immutable: flags.add(IS_SETTABLE) return flags return set() v = node.node # just a variable if isinstance(v, Var): if v.is_property: return {IS_VAR} flags = {IS_VAR} if not v.is_final: flags.add(IS_SETTABLE) # TODO: define cleaner rules for class vs instance variables. if v.is_classvar and not is_descriptor(v.type): flags.add(IS_CLASSVAR) if class_obj and v.is_inferred: flags.add(IS_CLASSVAR) return flags return set() def is_descriptor(typ: Type | None) -> bool: typ = get_proper_type(typ) if isinstance(typ, Instance): return typ.type.get("__get__") is not None if isinstance(typ, UnionType): return all(is_descriptor(item) for item in typ.relevant_items()) return False def find_node_type( node: Var | FuncBase, itype: Instance, subtype: Type, class_obj: bool = False, is_lvalue: bool = False, ) -> Type: """Find type of a variable or method 'node' (maybe also a decorated method). Apply type arguments from 'itype', and bind 'self' to 'subtype'. """ from mypy.typeops import bind_self if isinstance(node, FuncBase): typ: Type | None = mypy.typeops.function_type( node, fallback=Instance(itype.type.mro[-1], []) ) else: # This part and the one below are simply copies of the logic from checkmember.py. if node.is_settable_property and is_lvalue: typ = node.setter_type if typ is None and node.is_ready: typ = node.type else: typ = node.type if typ is not None: typ = expand_self_type(node, typ, subtype) p_typ = get_proper_type(typ) if typ is None: return AnyType(TypeOfAny.from_error) # We don't need to bind 'self' for static methods, since there is no 'self'. if isinstance(node, FuncBase) or ( isinstance(p_typ, FunctionLike) and node.is_initialized_in_class and not node.is_staticmethod ): assert isinstance(p_typ, FunctionLike) if class_obj and not ( node.is_class if isinstance(node, FuncBase) else node.is_classmethod ): # Don't bind instance methods on class objects. signature = p_typ else: signature = bind_self( p_typ, subtype, is_classmethod=isinstance(node, Var) and node.is_classmethod ) if node.is_property and not class_obj: assert isinstance(signature, CallableType) if ( isinstance(node, Var) and node.is_settable_property and is_lvalue and node.setter_type is not None ): typ = signature.arg_types[0] else: typ = signature.ret_type else: typ = signature itype = map_instance_to_supertype(itype, node.info) typ = expand_type_by_instance(typ, itype) return typ def non_method_protocol_members(tp: TypeInfo) -> list[str]: """Find all non-callable members of a protocol.""" assert tp.is_protocol result: list[str] = [] anytype = AnyType(TypeOfAny.special_form) instance = Instance(tp, [anytype] * len(tp.defn.type_vars)) for member in tp.protocol_members: typ = get_proper_type(find_member(member, instance, instance)) if not isinstance(typ, (Overloaded, CallableType)): result.append(member) return result def is_callable_compatible( left: CallableType, right: CallableType, *, is_compat: Callable[[Type, Type], bool], is_proper_subtype: bool, is_compat_return: Callable[[Type, Type], bool] | None = None, ignore_return: bool = False, ignore_pos_arg_names: bool = False, check_args_covariantly: bool = False, allow_partial_overlap: bool = False, strict_concatenate: bool = False, ) -> bool: """Is the left compatible with the right, using the provided compatibility check? is_compat: The check we want to run against the parameters. is_compat_return: The check we want to run against the return type. If None, use the 'is_compat' check. check_args_covariantly: If true, check if the left's args is compatible with the right's instead of the other way around (contravariantly). This function is mostly used to check if the left is a subtype of the right which is why the default is to check the args contravariantly. However, it's occasionally useful to check the args using some other check, so we leave the variance configurable. For example, when checking the validity of overloads, it's useful to see if the first overload alternative has more precise arguments than the second. We would want to check the arguments covariantly in that case. Note! The following two function calls are NOT equivalent: is_callable_compatible(f, g, is_compat=is_subtype, check_args_covariantly=False) is_callable_compatible(g, f, is_compat=is_subtype, check_args_covariantly=True) The two calls are similar in that they both check the function arguments in the same direction: they both run `is_subtype(argument_from_g, argument_from_f)`. However, the two calls differ in which direction they check things like keyword arguments. For example, suppose f and g are defined like so: def f(x: int, *y: int) -> int: ... def g(x: int) -> int: ... In this case, the first call will succeed and the second will fail: f is a valid stand-in for g but not vice-versa. allow_partial_overlap: By default this function returns True if and only if *all* calls to left are also calls to right (with respect to the provided 'is_compat' function). If this parameter is set to 'True', we return True if *there exists at least one* call to left that's also a call to right. In other words, we perform an existential check instead of a universal one; we require left to only overlap with right instead of being a subset. For example, suppose we set 'is_compat' to some subtype check and compare following: f(x: float, y: str = "...", *args: bool) -> str g(*args: int) -> str This function would normally return 'False': f is not a subtype of g. However, we would return True if this parameter is set to 'True': the two calls are compatible if the user runs "f_or_g(3)". In the context of that specific call, the two functions effectively have signatures of: f2(float) -> str g2(int) -> str Here, f2 is a valid subtype of g2 so we return True. Specifically, if this parameter is set this function will: - Ignore optional arguments on either the left or right that have no corresponding match. - No longer mandate optional arguments on either side are also optional on the other. - No longer mandate that if right has a *arg or **kwarg that left must also have the same. Note: when this argument is set to True, this function becomes "symmetric" -- the following calls are equivalent: is_callable_compatible(f, g, is_compat=some_check, check_args_covariantly=False, allow_partial_overlap=True) is_callable_compatible(g, f, is_compat=some_check, check_args_covariantly=True, allow_partial_overlap=True) If the 'some_check' function is also symmetric, the two calls would be equivalent whether or not we check the args covariantly. """ # Normalize both types before comparing them. left = left.with_unpacked_kwargs().with_normalized_var_args() right = right.with_unpacked_kwargs().with_normalized_var_args() if is_compat_return is None: is_compat_return = is_compat # If either function is implicitly typed, ignore positional arg names too if left.implicit or right.implicit: ignore_pos_arg_names = True # Non-type cannot be a subtype of type. if right.is_type_obj() and not left.is_type_obj() and not allow_partial_overlap: return False # A callable L is a subtype of a generic callable R if L is a # subtype of every type obtained from R by substituting types for # the variables of R. We can check this by simply leaving the # generic variables of R as type variables, effectively varying # over all possible values. # It's okay even if these variables share ids with generic # type variables of L, because generating and solving # constraints for the variables of L to make L a subtype of R # (below) treats type variables on the two sides as independent. if left.variables: # Apply generic type variables away in left via type inference. unified = unify_generic_callable(left, right, ignore_return=ignore_return) if unified is None: return False left = unified # Check return types. if not ignore_return and not is_compat_return(left.ret_type, right.ret_type): return False if check_args_covariantly: is_compat = flip_compat_check(is_compat) if not strict_concatenate and (left.from_concatenate or right.from_concatenate): strict_concatenate_check = False else: strict_concatenate_check = True return are_parameters_compatible( left, right, is_compat=is_compat, is_proper_subtype=is_proper_subtype, ignore_pos_arg_names=ignore_pos_arg_names, allow_partial_overlap=allow_partial_overlap, strict_concatenate_check=strict_concatenate_check, ) def are_trivial_parameters(param: Parameters | NormalizedCallableType) -> bool: param_star = param.var_arg() param_star2 = param.kw_arg() return ( param.arg_kinds == [ARG_STAR, ARG_STAR2] and param_star is not None and isinstance(get_proper_type(param_star.typ), AnyType) and param_star2 is not None and isinstance(get_proper_type(param_star2.typ), AnyType) ) def is_trivial_suffix(param: Parameters | NormalizedCallableType) -> bool: param_star = param.var_arg() param_star2 = param.kw_arg() return ( param.arg_kinds[-2:] == [ARG_STAR, ARG_STAR2] and param_star is not None and isinstance(get_proper_type(param_star.typ), AnyType) and param_star2 is not None and isinstance(get_proper_type(param_star2.typ), AnyType) ) def are_parameters_compatible( left: Parameters | NormalizedCallableType, right: Parameters | NormalizedCallableType, *, is_compat: Callable[[Type, Type], bool], is_proper_subtype: bool, ignore_pos_arg_names: bool = False, allow_partial_overlap: bool = False, strict_concatenate_check: bool = False, ) -> bool: """Helper function for is_callable_compatible, used for Parameter compatibility""" if right.is_ellipsis_args and not is_proper_subtype: return True left_star = left.var_arg() left_star2 = left.kw_arg() right_star = right.var_arg() right_star2 = right.kw_arg() # Treat "def _(*a: Any, **kw: Any) -> X" similarly to "Callable[..., X]" if are_trivial_parameters(right) and not is_proper_subtype: return True trivial_suffix = is_trivial_suffix(right) and not is_proper_subtype trivial_vararg_suffix = False if ( right.arg_kinds[-1:] == [ARG_STAR] and isinstance(get_proper_type(right.arg_types[-1]), AnyType) and not is_proper_subtype and all(k.is_positional(star=True) for k in left.arg_kinds) ): # Similar to how (*Any, **Any) is considered a supertype of all callables, we consider # (*Any) a supertype of all callables with positional arguments. This is needed in # particular because we often refuse to try type inference if actual type is not # a subtype of erased template type. trivial_vararg_suffix = True # Match up corresponding arguments and check them for compatibility. In # every pair (argL, argR) of corresponding arguments from L and R, argL must # be "more general" than argR if L is to be a subtype of R. # Arguments are corresponding if they either share a name, share a position, # or both. If L's corresponding argument is ambiguous, L is not a subtype of R. # If left has one corresponding argument by name and another by position, # consider them to be one "merged" argument (and not ambiguous) if they're # both optional, they're name-only and position-only respectively, and they # have the same type. This rule allows functions with (*args, **kwargs) to # properly stand in for the full domain of formal arguments that they're # used for in practice. # Every argument in R must have a corresponding argument in L, and every # required argument in L must have a corresponding argument in R. # Phase 1: Confirm every argument in R has a corresponding argument in L. # Phase 1a: If left and right can both accept an infinite number of args, # their types must be compatible. # # Furthermore, if we're checking for compatibility in all cases, # we confirm that if R accepts an infinite number of arguments, # L must accept the same. def _incompatible(left_arg: FormalArgument | None, right_arg: FormalArgument | None) -> bool: if right_arg is None: return False if left_arg is None: return not allow_partial_overlap and not trivial_suffix return not is_compat(right_arg.typ, left_arg.typ) if ( _incompatible(left_star, right_star) and not trivial_vararg_suffix or _incompatible(left_star2, right_star2) ): return False # Phase 1b: Check non-star args: for every arg right can accept, left must # also accept. The only exception is if we are allowing partial # overlaps: in that case, we ignore optional args on the right. for right_arg in right.formal_arguments(): left_arg = mypy.typeops.callable_corresponding_argument(left, right_arg) if left_arg is None: if allow_partial_overlap and not right_arg.required: continue return False if not are_args_compatible( left_arg, right_arg, is_compat, ignore_pos_arg_names=ignore_pos_arg_names, allow_partial_overlap=allow_partial_overlap, allow_imprecise_kinds=right.imprecise_arg_kinds, ): return False if trivial_suffix: # For trivial right suffix we *only* check that every non-star right argument # has a valid match on the left. return True # Phase 1c: Check var args. Right has an infinite series of optional positional # arguments. Get all further positional args of left, and make sure # they're more general than the corresponding member in right. # TODO: handle suffix in UnpackType (i.e. *args: *Tuple[Ts, X, Y]). if right_star is not None and not trivial_vararg_suffix: # Synthesize an anonymous formal argument for the right right_by_position = right.try_synthesizing_arg_from_vararg(None) assert right_by_position is not None i = right_star.pos assert i is not None while i < len(left.arg_kinds) and left.arg_kinds[i].is_positional(): if allow_partial_overlap and left.arg_kinds[i].is_optional(): break left_by_position = left.argument_by_position(i) assert left_by_position is not None if not are_args_compatible( left_by_position, right_by_position, is_compat, ignore_pos_arg_names=ignore_pos_arg_names, allow_partial_overlap=allow_partial_overlap, ): return False i += 1 # Phase 1d: Check kw args. Right has an infinite series of optional named # arguments. Get all further named args of left, and make sure # they're more general than the corresponding member in right. if right_star2 is not None: right_names = {name for name in right.arg_names if name is not None} left_only_names = set() for name, kind in zip(left.arg_names, left.arg_kinds): if ( name is None or kind.is_star() or name in right_names or not strict_concatenate_check ): continue left_only_names.add(name) # Synthesize an anonymous formal argument for the right right_by_name = right.try_synthesizing_arg_from_kwarg(None) assert right_by_name is not None for name in left_only_names: left_by_name = left.argument_by_name(name) assert left_by_name is not None if allow_partial_overlap and not left_by_name.required: continue if not are_args_compatible( left_by_name, right_by_name, is_compat, ignore_pos_arg_names=ignore_pos_arg_names, allow_partial_overlap=allow_partial_overlap, ): return False # Phase 2: Left must not impose additional restrictions. # (Every required argument in L must have a corresponding argument in R) # Note: we already checked the *arg and **kwarg arguments in phase 1a. for left_arg in left.formal_arguments(): right_by_name = ( right.argument_by_name(left_arg.name) if left_arg.name is not None else None ) right_by_pos = ( right.argument_by_position(left_arg.pos) if left_arg.pos is not None else None ) # If the left hand argument corresponds to two right-hand arguments, # neither of them can be required. if ( right_by_name is not None and right_by_pos is not None and right_by_name != right_by_pos and (right_by_pos.required or right_by_name.required) and strict_concatenate_check and not right.imprecise_arg_kinds ): return False # All *required* left-hand arguments must have a corresponding # right-hand argument. Optional args do not matter. if left_arg.required and right_by_pos is None and right_by_name is None: return False return True def are_args_compatible( left: FormalArgument, right: FormalArgument, is_compat: Callable[[Type, Type], bool], *, ignore_pos_arg_names: bool, allow_partial_overlap: bool, allow_imprecise_kinds: bool = False, ) -> bool: if left.required and right.required: # If both arguments are required allow_partial_overlap has no effect. allow_partial_overlap = False def is_different( left_item: object | None, right_item: object | None, allow_overlap: bool ) -> bool: """Checks if the left and right items are different. If the right item is unspecified (e.g. if the right callable doesn't care about what name or position its arg has), we default to returning False. If we're allowing partial overlap, we also default to returning False if the left callable also doesn't care.""" if right_item is None: return False if allow_overlap and left_item is None: return False return left_item != right_item # If right has a specific name it wants this argument to be, left must # have the same. if is_different(left.name, right.name, allow_partial_overlap): # But pay attention to whether we're ignoring positional arg names if not ignore_pos_arg_names or right.pos is None: return False # If right is at a specific position, left must have the same. # TODO: partial overlap logic is flawed for positions. # We disable it to avoid false positives at a cost of few false negatives. if is_different(left.pos, right.pos, allow_overlap=False) and not allow_imprecise_kinds: return False # If right's argument is optional, left's must also be # (unless we're relaxing the checks to allow potential # rather than definite compatibility). if not allow_partial_overlap and not right.required and left.required: return False # If we're allowing partial overlaps and neither arg is required, # the types don't actually need to be the same if allow_partial_overlap and not left.required and not right.required: return True # Left must have a more general type return is_compat(right.typ, left.typ) def flip_compat_check(is_compat: Callable[[Type, Type], bool]) -> Callable[[Type, Type], bool]: def new_is_compat(left: Type, right: Type) -> bool: return is_compat(right, left) return new_is_compat def unify_generic_callable( type: NormalizedCallableType, target: NormalizedCallableType, ignore_return: bool, return_constraint_direction: int | None = None, ) -> NormalizedCallableType | None: """Try to unify a generic callable type with another callable type. Return unified CallableType if successful; otherwise, return None. """ import mypy.solve if set(type.type_var_ids()) & {v.id for v in mypy.typeops.get_all_type_vars(target)}: # Overload overlap check does nasty things like unifying in opposite direction. # This can easily create type variable clashes, so we need to refresh. type = freshen_function_type_vars(type) if return_constraint_direction is None: return_constraint_direction = mypy.constraints.SUBTYPE_OF constraints: list[mypy.constraints.Constraint] = [] # There is some special logic for inference in callables, so better use them # as wholes instead of picking separate arguments. cs = mypy.constraints.infer_constraints( type.copy_modified(ret_type=UninhabitedType()), target.copy_modified(ret_type=UninhabitedType()), mypy.constraints.SUBTYPE_OF, skip_neg_op=True, ) constraints.extend(cs) if not ignore_return: c = mypy.constraints.infer_constraints( type.ret_type, target.ret_type, return_constraint_direction ) constraints.extend(c) inferred_vars, _ = mypy.solve.solve_constraints( type.variables, constraints, allow_polymorphic=True ) if None in inferred_vars: return None non_none_inferred_vars = cast(list[Type], inferred_vars) had_errors = False def report(*args: Any) -> None: nonlocal had_errors had_errors = True # This function may be called by the solver, so we need to allow erased types here. # We anyway allow checking subtyping between other types containing # (probably also because solver needs subtyping). See also comment in # ExpandTypeVisitor.visit_erased_type(). applied = mypy.applytype.apply_generic_arguments( type, non_none_inferred_vars, report, context=target ) if had_errors: return None return cast(NormalizedCallableType, applied) def try_restrict_literal_union(t: UnionType, s: Type) -> list[Type] | None: """Return the items of t, excluding any occurrence of s, if and only if - t only contains simple literals - s is a simple literal Otherwise, returns None """ ps = get_proper_type(s) if not mypy.typeops.is_simple_literal(ps): return None new_items: list[Type] = [] for i in t.relevant_items(): pi = get_proper_type(i) if not mypy.typeops.is_simple_literal(pi): return None if pi != ps: new_items.append(i) return new_items def restrict_subtype_away(t: Type, s: Type, *, consider_runtime_isinstance: bool = True) -> Type: """Return t minus s for runtime type assertions. If we can't determine a precise result, return a supertype of the ideal result (just t is a valid result). This is used for type inference of runtime type checks such as isinstance(). Currently, this just removes elements of a union type. """ p_t = get_proper_type(t) if isinstance(p_t, UnionType): new_items = try_restrict_literal_union(p_t, s) if new_items is None: new_items = [ restrict_subtype_away( item, s, consider_runtime_isinstance=consider_runtime_isinstance ) for item in p_t.relevant_items() ] return UnionType.make_union( [item for item in new_items if not isinstance(get_proper_type(item), UninhabitedType)] ) elif isinstance(p_t, TypeVarType): return p_t.copy_modified(upper_bound=restrict_subtype_away(p_t.upper_bound, s)) if consider_runtime_isinstance: if covers_at_runtime(t, s): return UninhabitedType() else: return t else: if is_proper_subtype(t, s, ignore_promotions=True): return UninhabitedType() if is_proper_subtype(t, s, ignore_promotions=True, erase_instances=True): return UninhabitedType() return t def covers_at_runtime(item: Type, supertype: Type) -> bool: """Will isinstance(item, supertype) always return True at runtime?""" item = get_proper_type(item) supertype = get_proper_type(supertype) # Since runtime type checks will ignore type arguments, erase the types. if not (isinstance(supertype, FunctionLike) and supertype.is_type_obj()): supertype = erase_type(supertype) if is_proper_subtype( erase_type(item), supertype, ignore_promotions=True, erase_instances=True ): return True if isinstance(supertype, Instance): if supertype.type.is_protocol: # TODO: Implement more robust support for runtime isinstance() checks, see issue #3827. if is_proper_subtype(item, supertype, ignore_promotions=True): return True if isinstance(item, TypedDictType): # Special case useful for selecting TypedDicts from unions using isinstance(x, dict). if supertype.type.fullname == "builtins.dict": return True elif isinstance(item, TypeVarType): if is_proper_subtype(item.upper_bound, supertype, ignore_promotions=True): return True elif isinstance(item, Instance) and supertype.type.fullname == "builtins.int": # "int" covers all native int types if item.type.fullname in MYPYC_NATIVE_INT_NAMES: return True # TODO: Add more special cases. return False def is_more_precise(left: Type, right: Type, *, ignore_promotions: bool = False) -> bool: """Check if left is a more precise type than right. A left is a proper subtype of right, left is also more precise than right. Also, if right is Any, left is more precise than right, for any left. """ # TODO Should List[int] be more precise than List[Any]? right = get_proper_type(right) if isinstance(right, AnyType): return True return is_proper_subtype(left, right, ignore_promotions=ignore_promotions) def all_non_object_members(info: TypeInfo) -> set[str]: members = set(info.names) for base in info.mro[1:-1]: members.update(base.names) return members def infer_variance(info: TypeInfo, i: int) -> bool: """Infer the variance of the ith type variable of a generic class. Return True if successful. This can fail if some inferred types aren't ready. """ object_type = Instance(info.mro[-1], []) for variance in COVARIANT, CONTRAVARIANT, INVARIANT: tv = info.defn.type_vars[i] assert isinstance(tv, TypeVarType) if tv.variance != VARIANCE_NOT_READY: continue tv.variance = variance co = True contra = True tvar = info.defn.type_vars[i] self_type = fill_typevars(info) for member in all_non_object_members(info): # __mypy-replace is an implementation detail of the dataclass plugin if member in ("__init__", "__new__", "__mypy-replace"): continue if isinstance(self_type, TupleType): self_type = mypy.typeops.tuple_fallback(self_type) flags = get_member_flags(member, self_type) settable = IS_SETTABLE in flags node = info[member].node if isinstance(node, Var): if node.type is None: tv.variance = VARIANCE_NOT_READY return False if has_underscore_prefix(member): # Special case to avoid false positives (and to pass conformance tests) settable = False # TODO: handle settable properties with setter type different from getter. typ = find_member(member, self_type, self_type) if typ: # It's okay for a method in a generic class with a contravariant type # variable to return a generic instance of the class, if it doesn't involve # variance (i.e. values of type variables are propagated). Our normal rules # would disallow this. Replace such return types with 'Any' to allow this. # # This could probably be more lenient (e.g. allow self type be nested, don't # require all type arguments to be identical to self_type), but this will # hopefully cover the vast majority of such cases, including Self. typ = erase_return_self_types(typ, self_type) typ2 = expand_type(typ, {tvar.id: object_type}) if not is_subtype(typ, typ2): co = False if not is_subtype(typ2, typ): contra = False if settable: co = False # Infer variance from base classes, in case they have explicit variances for base in info.bases: base2 = expand_type(base, {tvar.id: object_type}) if not is_subtype(base, base2): co = False if not is_subtype(base2, base): contra = False if co: v = COVARIANT elif contra: v = CONTRAVARIANT else: v = INVARIANT if v == variance: break tv.variance = VARIANCE_NOT_READY return True def has_underscore_prefix(name: str) -> bool: return name.startswith("_") and not (name.startswith("__") and name.endswith("__")) def infer_class_variances(info: TypeInfo) -> bool: if not info.defn.type_args: return True tvs = info.defn.type_vars success = True for i, tv in enumerate(tvs): if isinstance(tv, TypeVarType) and tv.variance == VARIANCE_NOT_READY: if not infer_variance(info, i): success = False return success def erase_return_self_types(typ: Type, self_type: Instance) -> Type: """If a typ is function-like and returns self_type, replace return type with Any.""" proper_type = get_proper_type(typ) if isinstance(proper_type, CallableType): ret = get_proper_type(proper_type.ret_type) if isinstance(ret, Instance) and ret == self_type: return proper_type.copy_modified(ret_type=AnyType(TypeOfAny.implementation_artifact)) elif isinstance(proper_type, Overloaded): return Overloaded( [ cast(CallableType, erase_return_self_types(it, self_type)) for it in proper_type.items ] ) return typ def is_erased_instance(t: Instance) -> bool: """Is this an instance where all args are Any types?""" if not t.args: return False for arg in t.args: if isinstance(arg, UnpackType): unpacked = get_proper_type(arg.type) if not isinstance(unpacked, Instance): return False assert unpacked.type.fullname == "builtins.tuple" if not isinstance(get_proper_type(unpacked.args[0]), AnyType): return False elif not isinstance(get_proper_type(arg), AnyType): return False return True ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/suggestions.py0000644000175100017510000011430615112307767016206 0ustar00runnerrunner"""Mechanisms for inferring function types based on callsites. Currently works by collecting all argument types at callsites, synthesizing a list of possible function types from that, trying them all, and picking the one with the fewest errors that we think is the "best". Can return JSON that pyannotate can use to apply the annotations to code. There are a bunch of TODOs here: * Maybe want a way to surface the choices not selected?? * We can generate an exponential number of type suggestions, and probably want a way to not always need to check them all. * Our heuristics for what types to try are primitive and not yet supported by real practice. * More! Other things: * This is super brute force. Could we integrate with the typechecker more to understand more about what is going on? * Like something with tracking constraints/unification variables? * No understanding of type variables at *all* """ from __future__ import annotations import itertools import json import os import sys from collections.abc import Iterator from contextlib import contextmanager from typing import Callable, NamedTuple, TypedDict, TypeVar, cast from mypy.argmap import map_actuals_to_formals from mypy.build import Graph, State from mypy.checkexpr import has_any_type from mypy.find_sources import InvalidSourceList, SourceFinder from mypy.join import join_type_list from mypy.meet import meet_type_list from mypy.modulefinder import PYTHON_EXTENSIONS from mypy.nodes import ( ARG_STAR, ARG_STAR2, ArgKind, CallExpr, Decorator, Expression, FuncDef, MypyFile, RefExpr, ReturnStmt, SymbolNode, SymbolTable, TypeInfo, Var, ) from mypy.options import Options from mypy.plugin import FunctionContext, MethodContext, Plugin from mypy.server.update import FineGrainedBuildManager from mypy.state import state from mypy.traverser import TraverserVisitor from mypy.typeops import bind_self, make_simplified_union from mypy.types import ( AnyType, CallableType, FunctionLike, Instance, NoneType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeStrVisitor, TypeTranslator, TypeVarType, UninhabitedType, UnionType, get_proper_type, ) from mypy.types_utils import is_overlapping_none, remove_optional from mypy.util import split_target class PyAnnotateSignature(TypedDict): return_type: str arg_types: list[str] class Callsite(NamedTuple): path: str line: int arg_kinds: list[list[ArgKind]] callee_arg_names: list[str | None] arg_names: list[list[str | None]] arg_types: list[list[Type]] class SuggestionPlugin(Plugin): """Plugin that records all calls to a given target.""" def __init__(self, target: str) -> None: if target.endswith((".__new__", ".__init__")): target = target.rsplit(".", 1)[0] self.target = target # List of call sites found by dmypy suggest: # (path, line, , , ) self.mystery_hits: list[Callsite] = [] def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname == self.target: return self.log else: return None def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: if fullname == self.target: return self.log else: return None def log(self, ctx: FunctionContext | MethodContext) -> Type: self.mystery_hits.append( Callsite( ctx.api.path, ctx.context.line, ctx.arg_kinds, ctx.callee_arg_names, ctx.arg_names, ctx.arg_types, ) ) return ctx.default_return_type # NOTE: We could make this a bunch faster by implementing a StatementVisitor that skips # traversing into expressions class ReturnFinder(TraverserVisitor): """Visitor for finding all types returned from a function.""" def __init__(self, typemap: dict[Expression, Type]) -> None: self.typemap = typemap self.return_types: list[Type] = [] def visit_return_stmt(self, o: ReturnStmt) -> None: if o.expr is not None and o.expr in self.typemap: self.return_types.append(self.typemap[o.expr]) def visit_func_def(self, o: FuncDef) -> None: # Skip nested functions pass def get_return_types(typemap: dict[Expression, Type], func: FuncDef) -> list[Type]: """Find all the types returned by return statements in func.""" finder = ReturnFinder(typemap) func.body.accept(finder) return finder.return_types class ArgUseFinder(TraverserVisitor): """Visitor for finding all the types of arguments that each arg is passed to. This is extremely simple minded but might be effective anyways. """ def __init__(self, func: FuncDef, typemap: dict[Expression, Type]) -> None: self.typemap = typemap self.arg_types: dict[SymbolNode, list[Type]] = {arg.variable: [] for arg in func.arguments} def visit_call_expr(self, o: CallExpr) -> None: if not any(isinstance(e, RefExpr) and e.node in self.arg_types for e in o.args): return typ = get_proper_type(self.typemap.get(o.callee)) if not isinstance(typ, CallableType): return formal_to_actual = map_actuals_to_formals( o.arg_kinds, o.arg_names, typ.arg_kinds, typ.arg_names, lambda n: AnyType(TypeOfAny.special_form), ) for i, args in enumerate(formal_to_actual): for arg_idx in args: arg = o.args[arg_idx] if isinstance(arg, RefExpr) and arg.node in self.arg_types: self.arg_types[arg.node].append(typ.arg_types[i]) def get_arg_uses(typemap: dict[Expression, Type], func: FuncDef) -> list[list[Type]]: """Find all the types of arguments that each arg is passed to. For example, given def foo(x: int) -> None: ... def bar(x: str) -> None: ... def test(x, y): foo(x) bar(y) this will return [[int], [str]]. """ finder = ArgUseFinder(func, typemap) func.body.accept(finder) return [finder.arg_types[arg.variable] for arg in func.arguments] class SuggestionFailure(Exception): pass def is_explicit_any(typ: AnyType) -> bool: # Originally I wanted to count as explicit anything derived from an explicit any, but that # seemed too strict in some testing. # return (typ.type_of_any == TypeOfAny.explicit # or (typ.source_any is not None and typ.source_any.type_of_any == TypeOfAny.explicit)) # Important question: what should we do with source_any stuff? Does that count? # And actually should explicit anys count at all?? Maybe not! return typ.type_of_any == TypeOfAny.explicit def is_implicit_any(typ: Type) -> bool: typ = get_proper_type(typ) return isinstance(typ, AnyType) and not is_explicit_any(typ) def _arg_accepts_function(typ: ProperType) -> bool: return ( # TypeVar / Callable isinstance(typ, (TypeVarType, CallableType)) or # Protocol with __call__ isinstance(typ, Instance) and typ.type.is_protocol and typ.type.get_method("__call__") is not None ) class SuggestionEngine: """Engine for finding call sites and suggesting signatures.""" def __init__( self, fgmanager: FineGrainedBuildManager, *, json: bool, no_errors: bool = False, no_any: bool = False, flex_any: float | None = None, use_fixme: str | None = None, max_guesses: int | None = None, ) -> None: self.fgmanager = fgmanager self.manager = fgmanager.manager self.plugin = self.manager.plugin self.graph = fgmanager.graph self.finder = SourceFinder(self.manager.fscache, self.manager.options) self.give_json = json self.no_errors = no_errors self.flex_any = flex_any if no_any: self.flex_any = 1.0 self.max_guesses = max_guesses or 64 self.use_fixme = use_fixme def suggest(self, function: str) -> str: """Suggest an inferred type for function.""" mod, func_name, node = self.find_node(function) with self.restore_after(mod): with self.with_export_types(): suggestion = self.get_suggestion(mod, node) if self.give_json: return self.json_suggestion(mod, func_name, node, suggestion) else: return self.format_signature(suggestion) def suggest_callsites(self, function: str) -> str: """Find a list of call sites of function.""" mod, _, node = self.find_node(function) with self.restore_after(mod): callsites, _ = self.get_callsites(node) return "\n".join( dedup( [ f"{path}:{line}: {self.format_args(arg_kinds, arg_names, arg_types)}" for path, line, arg_kinds, _, arg_names, arg_types in callsites ] ) ) @contextmanager def restore_after(self, module: str) -> Iterator[None]: """Context manager that reloads a module after executing the body. This should undo any damage done to the module state while mucking around. """ try: yield finally: self.reload(self.graph[module]) @contextmanager def with_export_types(self) -> Iterator[None]: """Context manager that enables the export_types flag in the body. This causes type information to be exported into the manager's all_types variable. """ old = self.manager.options.export_types self.manager.options.export_types = True try: yield finally: self.manager.options.export_types = old def get_trivial_type(self, fdef: FuncDef) -> CallableType: """Generate a trivial callable type from a func def, with all Anys""" # The Anys are marked as being from the suggestion engine # since they need some special treatment (specifically, # constraint generation ignores them.) return CallableType( [AnyType(TypeOfAny.suggestion_engine) for _ in fdef.arg_kinds], fdef.arg_kinds, fdef.arg_names, AnyType(TypeOfAny.suggestion_engine), self.named_type("builtins.function"), ) def get_starting_type(self, fdef: FuncDef) -> CallableType: if isinstance(fdef.type, CallableType): return make_suggestion_anys(fdef.type) else: return self.get_trivial_type(fdef) def get_args( self, is_method: bool, base: CallableType, defaults: list[Type | None], callsites: list[Callsite], uses: list[list[Type]], ) -> list[list[Type]]: """Produce a list of type suggestions for each argument type.""" types: list[list[Type]] = [] for i in range(len(base.arg_kinds)): # Make self args Any but this will get overridden somewhere in the checker if i == 0 and is_method: types.append([AnyType(TypeOfAny.suggestion_engine)]) continue all_arg_types = [] for call in callsites: for typ in call.arg_types[i - is_method]: # Collect all the types except for implicit anys if not is_implicit_any(typ): all_arg_types.append(typ) all_use_types = [] for typ in uses[i]: # Collect all the types except for implicit anys if not is_implicit_any(typ): all_use_types.append(typ) # Add in any default argument types default = defaults[i] if default: all_arg_types.append(default) if all_use_types: all_use_types.append(default) arg_types = [] if all_arg_types and all( isinstance(get_proper_type(tp), NoneType) for tp in all_arg_types ): arg_types.append( UnionType.make_union([all_arg_types[0], AnyType(TypeOfAny.explicit)]) ) elif all_arg_types: arg_types.extend(generate_type_combinations(all_arg_types)) else: arg_types.append(AnyType(TypeOfAny.explicit)) if all_use_types: # This is a meet because the type needs to be compatible with all the uses arg_types.append(meet_type_list(all_use_types)) types.append(arg_types) return types def get_default_arg_types(self, fdef: FuncDef) -> list[Type | None]: return [ self.manager.all_types[arg.initializer] if arg.initializer else None for arg in fdef.arguments ] def get_guesses( self, is_method: bool, base: CallableType, defaults: list[Type | None], callsites: list[Callsite], uses: list[list[Type]], ) -> list[CallableType]: """Compute a list of guesses for a function's type. This focuses just on the argument types, and doesn't change the provided return type. """ options = self.get_args(is_method, base, defaults, callsites, uses) # Take the first `max_guesses` guesses. product = itertools.islice(itertools.product(*options), 0, self.max_guesses) return [refine_callable(base, base.copy_modified(arg_types=list(x))) for x in product] def get_callsites(self, func: FuncDef) -> tuple[list[Callsite], list[str]]: """Find all call sites of a function.""" new_type = self.get_starting_type(func) collector_plugin = SuggestionPlugin(func.fullname) self.plugin._plugins.insert(0, collector_plugin) try: errors = self.try_type(func, new_type) finally: self.plugin._plugins.pop(0) return collector_plugin.mystery_hits, errors def filter_options( self, guesses: list[CallableType], is_method: bool, ignore_return: bool ) -> list[CallableType]: """Apply any configured filters to the possible guesses. Currently the only option is filtering based on Any prevalance.""" return [ t for t in guesses if self.flex_any is None or any_score_callable(t, is_method, ignore_return) >= self.flex_any ] def find_best(self, func: FuncDef, guesses: list[CallableType]) -> tuple[CallableType, int]: """From a list of possible function types, find the best one. For best, we want the fewest errors, then the best "score" from score_callable. """ if not guesses: raise SuggestionFailure("No guesses that match criteria!") errors = {guess: self.try_type(func, guess) for guess in guesses} best = min(guesses, key=lambda s: (count_errors(errors[s]), self.score_callable(s))) return best, count_errors(errors[best]) def get_guesses_from_parent(self, node: FuncDef) -> list[CallableType]: """Try to get a guess of a method type from a parent class.""" if not node.info: return [] for parent in node.info.mro[1:]: pnode = parent.names.get(node.name) if pnode and isinstance(pnode.node, (FuncDef, Decorator)): typ = get_proper_type(pnode.node.type) # FIXME: Doesn't work right with generic types if isinstance(typ, CallableType) and len(typ.arg_types) == len(node.arguments): # Return the first thing we find, since it probably doesn't make sense # to grab things further up in the chain if an earlier parent has it. return [typ] return [] def get_suggestion(self, mod: str, node: FuncDef) -> PyAnnotateSignature: """Compute a suggestion for a function. Return the type and whether the first argument should be ignored. """ graph = self.graph callsites, orig_errors = self.get_callsites(node) uses = get_arg_uses(self.manager.all_types, node) if self.no_errors and orig_errors: raise SuggestionFailure("Function does not typecheck.") is_method = bool(node.info) and node.has_self_or_cls_argument with state.strict_optional_set(graph[mod].options.strict_optional): guesses = self.get_guesses( is_method, self.get_starting_type(node), self.get_default_arg_types(node), callsites, uses, ) guesses += self.get_guesses_from_parent(node) guesses = self.filter_options(guesses, is_method, ignore_return=True) best, _ = self.find_best(node, guesses) # Now try to find the return type! self.try_type(node, best) returns = get_return_types(self.manager.all_types, node) with state.strict_optional_set(graph[mod].options.strict_optional): if returns: ret_types = generate_type_combinations(returns) else: ret_types = [NoneType()] guesses = [best.copy_modified(ret_type=refine_type(best.ret_type, t)) for t in ret_types] guesses = self.filter_options(guesses, is_method, ignore_return=False) best, errors = self.find_best(node, guesses) if self.no_errors and errors: raise SuggestionFailure("No annotation without errors") return self.pyannotate_signature(mod, is_method, best) def format_args( self, arg_kinds: list[list[ArgKind]], arg_names: list[list[str | None]], arg_types: list[list[Type]], ) -> str: args: list[str] = [] for i in range(len(arg_types)): for kind, name, typ in zip(arg_kinds[i], arg_names[i], arg_types[i]): arg = self.format_type(None, typ) if kind == ARG_STAR: arg = "*" + arg elif kind == ARG_STAR2: arg = "**" + arg elif kind.is_named(): if name: arg = f"{name}={arg}" args.append(arg) return f"({', '.join(args)})" def find_node(self, key: str) -> tuple[str, str, FuncDef]: """From a target name, return module/target names and the func def. The 'key' argument can be in one of two formats: * As the function full name, e.g., package.module.Cls.method * As the function location as file and line separated by column, e.g., path/to/file.py:42 """ # TODO: Also return OverloadedFuncDef -- currently these are ignored. node: SymbolNode | None = None if ":" in key: # A colon might be part of a drive name on Windows (like `C:/foo/bar`) # and is also used as a delimiter between file path and lineno. # If a colon is there for any of those reasons, it must be a file+line # reference. platform_key_count = 2 if sys.platform == "win32" else 1 if key.count(":") > platform_key_count: raise SuggestionFailure( "Malformed location for function: {}. Must be either" " package.module.Class.method or path/to/file.py:line".format(key) ) file, line = key.rsplit(":", 1) if not line.isdigit(): raise SuggestionFailure(f"Line number must be a number. Got {line}") line_number = int(line) modname, node = self.find_node_by_file_and_line(file, line_number) tail = node.fullname[len(modname) + 1 :] # add one to account for '.' else: target = split_target(self.fgmanager.graph, key) if not target: raise SuggestionFailure(f"Cannot find module for {key}") modname, tail = target node = self.find_node_by_module_and_name(modname, tail) if isinstance(node, Decorator): node = self.extract_from_decorator(node) if not node: raise SuggestionFailure(f"Object {key} is a decorator we can't handle") if not isinstance(node, FuncDef): raise SuggestionFailure(f"Object {key} is not a function") return modname, tail, node def find_node_by_module_and_name(self, modname: str, tail: str) -> SymbolNode | None: """Find symbol node by module id and qualified name. Raise SuggestionFailure if can't find one. """ tree = self.ensure_loaded(self.fgmanager.graph[modname]) # N.B. This is reimplemented from update's lookup_target # basically just to produce better error messages. names: SymbolTable = tree.names # Look through any classes components = tail.split(".") for i, component in enumerate(components[:-1]): if component not in names: raise SuggestionFailure( "Unknown class {}.{}".format(modname, ".".join(components[: i + 1])) ) node: SymbolNode | None = names[component].node if not isinstance(node, TypeInfo): raise SuggestionFailure( "Object {}.{} is not a class".format(modname, ".".join(components[: i + 1])) ) names = node.names # Look for the actual function/method funcname = components[-1] if funcname not in names: key = modname + "." + tail raise SuggestionFailure( "Unknown {} {}".format("method" if len(components) > 1 else "function", key) ) return names[funcname].node def find_node_by_file_and_line(self, file: str, line: int) -> tuple[str, SymbolNode]: """Find symbol node by path to file and line number. Find the first function declared *before or on* the line number. Return module id and the node found. Raise SuggestionFailure if can't find one. """ if not any(file.endswith(ext) for ext in PYTHON_EXTENSIONS): raise SuggestionFailure("Source file is not a Python file") try: modname, _ = self.finder.crawl_up(os.path.normpath(file)) except InvalidSourceList as e: raise SuggestionFailure("Invalid source file name: " + file) from e if modname not in self.graph: raise SuggestionFailure("Unknown module: " + modname) # We must be sure about any edits in this file as this might affect the line numbers. tree = self.ensure_loaded(self.fgmanager.graph[modname], force=True) node: SymbolNode | None = None closest_line: int | None = None # TODO: Handle nested functions. for _, sym, _ in tree.local_definitions(): if isinstance(sym.node, (FuncDef, Decorator)): sym_line = sym.node.line # TODO: add support for OverloadedFuncDef. else: continue # We want the closest function above the specified line if sym_line <= line and (closest_line is None or sym_line > closest_line): closest_line = sym_line node = sym.node if not node: raise SuggestionFailure(f"Cannot find a function at line {line}") return modname, node def extract_from_decorator(self, node: Decorator) -> FuncDef | None: for dec in node.decorators: typ = None if isinstance(dec, RefExpr) and isinstance(dec.node, (Var, FuncDef)): typ = get_proper_type(dec.node.type) elif ( isinstance(dec, CallExpr) and isinstance(dec.callee, RefExpr) and isinstance(dec.callee.node, (Decorator, FuncDef, Var)) and isinstance((call_tp := get_proper_type(dec.callee.node.type)), CallableType) ): typ = get_proper_type(call_tp.ret_type) if isinstance(typ, Instance): call_method = typ.type.get_method("__call__") if isinstance(call_method, FuncDef) and isinstance(call_method.type, FunctionLike): typ = bind_self(call_method.type, None) if not isinstance(typ, FunctionLike): return None for ct in typ.items: if not ( len(ct.arg_types) == 1 and _arg_accepts_function(get_proper_type(ct.arg_types[0])) and ct.arg_types[0] == ct.ret_type ): return None return node.func def try_type(self, func: FuncDef, typ: ProperType) -> list[str]: """Recheck a function while assuming it has type typ. Return all error messages. """ old = func.unanalyzed_type # During reprocessing, unanalyzed_type gets copied to type (by aststrip). # We set type to None to ensure that the type always changes during # reprocessing. func.type = None func.unanalyzed_type = typ try: res = self.fgmanager.trigger(func.fullname) # if res: # print('===', typ) # print('\n'.join(res)) return res finally: func.unanalyzed_type = old def reload(self, state: State) -> list[str]: """Recheck the module given by state.""" assert state.path is not None self.fgmanager.flush_cache() return self.fgmanager.update([(state.id, state.path)], []) def ensure_loaded(self, state: State, force: bool = False) -> MypyFile: """Make sure that the module represented by state is fully loaded.""" if not state.tree or state.tree.is_cache_skeleton or force: self.reload(state) assert state.tree is not None return state.tree def named_type(self, s: str) -> Instance: return self.manager.semantic_analyzer.named_type(s) def json_suggestion( self, mod: str, func_name: str, node: FuncDef, suggestion: PyAnnotateSignature ) -> str: """Produce a json blob for a suggestion suitable for application by pyannotate.""" # pyannotate irritatingly drops class names for class and static methods if node.is_class or node.is_static: func_name = func_name.split(".", 1)[-1] # pyannotate works with either paths relative to where the # module is rooted or with absolute paths. We produce absolute # paths because it is simpler. path = os.path.abspath(self.graph[mod].xpath) obj = { "signature": suggestion, "line": node.line, "path": path, "func_name": func_name, "samples": 0, } return json.dumps([obj], sort_keys=True) def pyannotate_signature( self, cur_module: str | None, is_method: bool, typ: CallableType ) -> PyAnnotateSignature: """Format a callable type as a pyannotate dict""" start = int(is_method) return { "arg_types": [self.format_type(cur_module, t) for t in typ.arg_types[start:]], "return_type": self.format_type(cur_module, typ.ret_type), } def format_signature(self, sig: PyAnnotateSignature) -> str: """Format a callable type in a way suitable as an annotation... kind of""" return f"({', '.join(sig['arg_types'])}) -> {sig['return_type']}" def format_type(self, cur_module: str | None, typ: Type) -> str: if self.use_fixme and isinstance(get_proper_type(typ), AnyType): return self.use_fixme return typ.accept(TypeFormatter(cur_module, self.graph, self.manager.options)) def score_type(self, t: Type, arg_pos: bool) -> int: """Generate a score for a type that we use to pick which type to use. Lower is better, prefer non-union/non-any types. Don't penalize optionals. """ t = get_proper_type(t) if isinstance(t, AnyType): return 20 if arg_pos and isinstance(t, NoneType): return 20 if isinstance(t, UnionType): if any(isinstance(get_proper_type(x), AnyType) for x in t.items): return 20 if any(has_any_type(x) for x in t.items): return 15 if not is_overlapping_none(t): return 10 if isinstance(t, CallableType) and (has_any_type(t) or is_tricky_callable(t)): return 10 return 0 def score_callable(self, t: CallableType) -> int: return sum(self.score_type(x, arg_pos=True) for x in t.arg_types) + self.score_type( t.ret_type, arg_pos=False ) def any_score_type(ut: Type, arg_pos: bool) -> float: """Generate a very made up number representing the Anyness of a type. Higher is better, 1.0 is max """ t = get_proper_type(ut) if isinstance(t, AnyType) and t.type_of_any != TypeOfAny.suggestion_engine: return 0 if isinstance(t, NoneType) and arg_pos: return 0.5 if isinstance(t, UnionType): if any(isinstance(get_proper_type(x), AnyType) for x in t.items): return 0.5 if any(has_any_type(x) for x in t.items): return 0.25 if isinstance(t, CallableType) and is_tricky_callable(t): return 0.5 if has_any_type(t): return 0.5 return 1.0 def any_score_callable(t: CallableType, is_method: bool, ignore_return: bool) -> float: # Ignore the first argument of methods scores = [any_score_type(x, arg_pos=True) for x in t.arg_types[int(is_method) :]] # Return type counts twice (since it spreads type information), unless it is # None in which case it does not count at all. (Though it *does* still count # if there are no arguments.) if not isinstance(get_proper_type(t.ret_type), NoneType) or not scores: ret = 1.0 if ignore_return else any_score_type(t.ret_type, arg_pos=False) scores += [ret, ret] return sum(scores) / len(scores) def is_tricky_callable(t: CallableType) -> bool: """Is t a callable that we need to put a ... in for syntax reasons?""" return t.is_ellipsis_args or any(k.is_star() or k.is_named() for k in t.arg_kinds) class TypeFormatter(TypeStrVisitor): """Visitor used to format types""" # TODO: Probably a lot def __init__(self, module: str | None, graph: Graph, options: Options) -> None: super().__init__(options=options) self.module = module self.graph = graph def visit_any(self, t: AnyType) -> str: if t.missing_import_name: return t.missing_import_name else: return "Any" def visit_instance(self, t: Instance) -> str: s = t.type.fullname or t.type.name or None if s is None: return "" mod_obj = split_target(self.graph, s) assert mod_obj mod, obj = mod_obj # If a class is imported into the current module, rewrite the reference # to point to the current module. This helps the annotation tool avoid # inserting redundant imports when a type has been reexported. if self.module: parts = obj.split(".") # need to split the object part if it is a nested class tree = self.graph[self.module].tree if tree and parts[0] in tree.names and mod not in tree.names: mod = self.module if (mod, obj) == ("builtins", "tuple"): mod, obj = "typing", "Tuple[" + t.args[0].accept(self) + ", ...]" elif t.args: obj += f"[{self.list_str(t.args)}]" if mod_obj == ("builtins", "unicode"): return "Text" elif mod == "builtins": return obj else: delim = "." if "." not in obj else ":" return mod + delim + obj def visit_tuple_type(self, t: TupleType) -> str: if t.partial_fallback and t.partial_fallback.type: fallback_name = t.partial_fallback.type.fullname if fallback_name != "builtins.tuple": return t.partial_fallback.accept(self) s = self.list_str(t.items) return f"Tuple[{s}]" def visit_uninhabited_type(self, t: UninhabitedType) -> str: return "Any" def visit_typeddict_type(self, t: TypedDictType) -> str: return t.fallback.accept(self) def visit_union_type(self, t: UnionType) -> str: if len(t.items) == 2 and is_overlapping_none(t): s = remove_optional(t).accept(self) return f"{s} | None" if self.options.use_or_syntax() else f"Optional[{s}]" else: return super().visit_union_type(t) def visit_callable_type(self, t: CallableType) -> str: # TODO: use extended callables? if is_tricky_callable(t): arg_str = "..." else: # Note: for default arguments, we just assume that they # are required. This isn't right, but neither is the # other thing, and I suspect this will produce more better # results than falling back to `...` args = [typ.accept(self) for typ in t.arg_types] arg_str = f"[{', '.join(args)}]" return f"Callable[{arg_str}, {t.ret_type.accept(self)}]" TType = TypeVar("TType", bound=Type) def make_suggestion_anys(t: TType) -> TType: """Make all anys in the type as coming from the suggestion engine. This keeps those Anys from influencing constraint generation, which allows us to do better when refining types. """ return cast(TType, t.accept(MakeSuggestionAny())) class MakeSuggestionAny(TypeTranslator): def visit_any(self, t: AnyType) -> Type: if not t.missing_import_name: return t.copy_modified(type_of_any=TypeOfAny.suggestion_engine) else: return t def visit_type_alias_type(self, t: TypeAliasType) -> Type: return t.copy_modified(args=[a.accept(self) for a in t.args]) def generate_type_combinations(types: list[Type]) -> list[Type]: """Generate possible combinations of a list of types. mypy essentially supports two different ways to do this: joining the types and unioning the types. We try both. """ joined_type = join_type_list(types) union_type = make_simplified_union(types) if joined_type == union_type: return [joined_type] else: return [joined_type, union_type] def count_errors(msgs: list[str]) -> int: return len([x for x in msgs if " error: " in x]) def refine_type(ti: Type, si: Type) -> Type: """Refine `ti` by replacing Anys in it with information taken from `si` This basically works by, when the types have the same structure, traversing both of them in parallel and replacing Any on the left with whatever the type on the right is. If the types don't have the same structure (or aren't supported), the left type is chosen. For example: refine(Any, T) = T, for all T refine(float, int) = float refine(List[Any], List[int]) = List[int] refine(Dict[int, Any], Dict[Any, int]) = Dict[int, int] refine(Tuple[int, Any], Tuple[Any, int]) = Tuple[int, int] refine(Callable[[Any], Any], Callable[[int], int]) = Callable[[int], int] refine(Callable[..., int], Callable[[int, float], Any]) = Callable[[int, float], int] refine(Optional[Any], int) = Optional[int] refine(Optional[Any], Optional[int]) = Optional[int] refine(Optional[Any], Union[int, str]) = Optional[Union[int, str]] refine(Optional[List[Any]], List[int]) = List[int] """ t = get_proper_type(ti) s = get_proper_type(si) if isinstance(t, AnyType): # If s is also an Any, we return if it is a missing_import Any return t if isinstance(s, AnyType) and t.missing_import_name else s if isinstance(t, Instance) and isinstance(s, Instance) and t.type == s.type: return t.copy_modified(args=[refine_type(ta, sa) for ta, sa in zip(t.args, s.args)]) if ( isinstance(t, TupleType) and isinstance(s, TupleType) and t.partial_fallback == s.partial_fallback and len(t.items) == len(s.items) ): return t.copy_modified(items=[refine_type(ta, sa) for ta, sa in zip(t.items, s.items)]) if isinstance(t, CallableType) and isinstance(s, CallableType): return refine_callable(t, s) if isinstance(t, UnionType): return refine_union(t, s) # TODO: Refining of builtins.tuple, Type? return t def refine_union(t: UnionType, s: ProperType) -> Type: """Refine a union type based on another type. This is done by refining every component of the union against the right hand side type (or every component of its union if it is one). If an element of the union is successfully refined, we drop it from the union in favor of the refined versions. """ # Don't try to do any union refining if the types are already the # same. This prevents things like refining Optional[Any] against # itself and producing None. if t == s: return t rhs_items = s.items if isinstance(s, UnionType) else [s] new_items = [] for lhs in t.items: refined = False for rhs in rhs_items: new = refine_type(lhs, rhs) if new != lhs: new_items.append(new) refined = True if not refined: new_items.append(lhs) # Turn strict optional on when simplifying the union since we # don't want to drop Nones. with state.strict_optional_set(True): return make_simplified_union(new_items) def refine_callable(t: CallableType, s: CallableType) -> CallableType: """Refine a callable based on another. See comments for refine_type. """ if t.fallback != s.fallback: return t if t.is_ellipsis_args and not is_tricky_callable(s): return s.copy_modified(ret_type=refine_type(t.ret_type, s.ret_type)) if is_tricky_callable(t) or t.arg_kinds != s.arg_kinds: return t return t.copy_modified( arg_types=[refine_type(ta, sa) for ta, sa in zip(t.arg_types, s.arg_types)], ret_type=refine_type(t.ret_type, s.ret_type), ) T = TypeVar("T") def dedup(old: list[T]) -> list[T]: new: list[T] = [] for x in old: if x not in new: new.append(x) return new ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4917645 mypy-1.19.0/mypy/test/0000755000175100017510000000000015112310011014204 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/__init__.py0000644000175100017510000000000015112307767016333 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/config.py0000644000175100017510000000242515112307767016056 0ustar00runnerrunnerfrom __future__ import annotations import os.path provided_prefix = os.getenv("MYPY_TEST_PREFIX", None) if provided_prefix: PREFIX = provided_prefix else: this_file_dir = os.path.dirname(os.path.realpath(__file__)) PREFIX = os.path.dirname(os.path.dirname(this_file_dir)) # Location of test data files such as test case descriptions. test_data_prefix = os.path.join(PREFIX, "test-data", "unit") package_path = os.path.join(PREFIX, "test-data", "packages") # Temp directory used for the temp files created when running test cases. # This is *within* the tempfile.TemporaryDirectory that is chroot'ed per testcase. # It is also hard-coded in numerous places, so don't change it. test_temp_dir = "tmp" # Mypyc tests may write intermediate files (e.g. generated C) here on failure mypyc_output_dir = os.path.join(PREFIX, ".mypyc_test_output") # The PEP 561 tests do a bunch of pip installs which, even though they operate # on distinct temporary virtual environments, run into race conditions on shared # file-system state. To make this work reliably in parallel mode, we'll use a # FileLock courtesy of the tox-dev/py-filelock package. # Ref. https://github.com/python/mypy/issues/12615 # Ref. mypy/test/testpep561.py pip_lock = os.path.join(package_path, ".pip_lock") pip_timeout = 60 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/data.py0000644000175100017510000007301015112307767015520 0ustar00runnerrunner"""Utilities for processing .test files containing test case descriptions.""" from __future__ import annotations import os import os.path import posixpath import re import shutil import sys import tempfile from abc import abstractmethod from collections.abc import Iterator from dataclasses import dataclass from pathlib import Path from re import Pattern from typing import Any, Final, NamedTuple, NoReturn, Union from typing_extensions import TypeAlias as _TypeAlias import pytest from mypy import defaults from mypy.test.config import PREFIX, mypyc_output_dir, test_data_prefix, test_temp_dir root_dir = os.path.normpath(PREFIX) # Debuggers that we support for debugging mypyc run tests # implementation of using each of these debuggers is in test_run.py # TODO: support more debuggers SUPPORTED_DEBUGGERS: Final = ["gdb", "lldb"] # File modify/create operation: copy module contents from source_path. class UpdateFile(NamedTuple): module: str content: str target_path: str # File delete operation: delete module file. class DeleteFile(NamedTuple): module: str path: str FileOperation: _TypeAlias = Union[UpdateFile, DeleteFile] def _file_arg_to_module(filename: str) -> str: filename, _ = os.path.splitext(filename) parts = filename.split("/") # not os.sep since it comes from test data if parts[-1] == "__init__": parts.pop() return ".".join(parts) def parse_test_case(case: DataDrivenTestCase) -> None: """Parse and prepare a single case from suite with test case descriptions. This method is part of the setup phase, just before the test case is run. """ test_items = parse_test_data(case.data, case.name) base_path = case.suite.base_path if case.suite.native_sep: join = os.path.join else: join = posixpath.join out_section_missing = case.suite.required_out_section files: list[tuple[str, str]] = [] # path and contents output_files: list[tuple[str, str | Pattern[str]]] = [] # output path and contents output: list[str] = [] # Regular output errors output2: dict[int, list[str]] = {} # Output errors for incremental, runs 2+ deleted_paths: dict[int, set[str]] = {} # from run number of paths stale_modules: dict[int, set[str]] = {} # from run number to module names rechecked_modules: dict[int, set[str]] = {} # from run number module names triggered: list[str] = [] # Active triggers (one line per incremental step) targets: dict[int, list[str]] = {} # Fine-grained targets (per fine-grained update) test_modules: list[str] = [] # Modules which are deemed "test" (vs "fixture") def _case_fail(msg: str) -> NoReturn: pytest.fail(f"{case.file}:{case.line}: {msg}", pytrace=False) # Process the parsed items. Each item has a header of form [id args], # optionally followed by lines of text. item = first_item = test_items[0] test_modules.append("__main__") for item in test_items[1:]: def _item_fail(msg: str) -> NoReturn: item_abs_line = case.line + item.line - 2 pytest.fail(f"{case.file}:{item_abs_line}: {msg}", pytrace=False) if item.id in {"file", "fixture", "outfile", "outfile-re"}: # Record an extra file needed for the test case. assert item.arg is not None contents = expand_variables("\n".join(item.data)) path = join(base_path, item.arg) if item.id != "fixture": test_modules.append(_file_arg_to_module(item.arg)) if item.id in {"file", "fixture"}: files.append((path, contents)) elif item.id == "outfile-re": output_files.append((path, re.compile(contents.rstrip(), re.S))) elif item.id == "outfile": output_files.append((path, contents)) elif item.id == "builtins": # Use an alternative stub file for the builtins module. assert item.arg is not None mpath = join(os.path.dirname(case.file), item.arg) with open(mpath, encoding="utf8") as f: files.append((join(base_path, "builtins.pyi"), f.read())) elif item.id == "typing": # Use an alternative stub file for the typing module. assert item.arg is not None src_path = join(os.path.dirname(case.file), item.arg) with open(src_path, encoding="utf8") as f: files.append((join(base_path, "typing.pyi"), f.read())) elif item.id == "_typeshed": # Use an alternative stub file for the _typeshed module. assert item.arg is not None src_path = join(os.path.dirname(case.file), item.arg) with open(src_path, encoding="utf8") as f: files.append((join(base_path, "_typeshed.pyi"), f.read())) elif re.match(r"stale[0-9]*$", item.id): passnum = 1 if item.id == "stale" else int(item.id[len("stale") :]) assert passnum > 0 modules = set() if item.arg is None else {t.strip() for t in item.arg.split(",")} stale_modules[passnum] = modules elif re.match(r"rechecked[0-9]*$", item.id): passnum = 1 if item.id == "rechecked" else int(item.id[len("rechecked") :]) assert passnum > 0 modules = set() if item.arg is None else {t.strip() for t in item.arg.split(",")} rechecked_modules[passnum] = modules elif re.match(r"targets[0-9]*$", item.id): passnum = 1 if item.id == "targets" else int(item.id[len("targets") :]) assert passnum > 0 reprocessed = [] if item.arg is None else [t.strip() for t in item.arg.split(",")] targets[passnum] = reprocessed elif item.id == "delete": # File/directory to delete during a multi-step test case assert item.arg is not None m = re.match(r"(.*)\.([0-9]+)$", item.arg) if m is None: _item_fail(f"Invalid delete section {item.arg!r}") num = int(m.group(2)) if num < 2: _item_fail(f"Can't delete during step {num}") full = join(base_path, m.group(1)) deleted_paths.setdefault(num, set()).add(full) elif re.match(r"out[0-9]*$", item.id): if item.arg is None: args = [] else: args = item.arg.split(",") version_check = True for arg in args: if arg.startswith("version"): compare_op = arg[7:9] if compare_op not in {">=", "=="}: _item_fail("Only >= and == version checks are currently supported") version_str = arg[9:] try: version = tuple(int(x) for x in version_str.split(".")) except ValueError: _item_fail(f"{version_str!r} is not a valid python version") if compare_op == ">=": if version <= defaults.PYTHON3_VERSION: _item_fail( f"{arg} always true since minimum runtime version is {defaults.PYTHON3_VERSION}" ) version_check = sys.version_info >= version elif compare_op == "==": if version < defaults.PYTHON3_VERSION: _item_fail( f"{arg} always false since minimum runtime version is {defaults.PYTHON3_VERSION}" ) if not 1 < len(version) < 4: _item_fail( f'Only minor or patch version checks are currently supported with "==": {version_str!r}' ) version_check = sys.version_info[: len(version)] == version if version_check: tmp_output = [expand_variables(line) for line in item.data] if os.path.sep == "\\" and case.normalize_output: tmp_output = [fix_win_path(line) for line in tmp_output] if item.id == "out" or item.id == "out1": output = tmp_output else: passnum = int(item.id[len("out") :]) assert passnum > 1 output2[passnum] = tmp_output out_section_missing = False elif item.id == "triggered" and item.arg is None: triggered = item.data else: section_str = item.id + (f" {item.arg}" if item.arg else "") _item_fail(f"Invalid section header [{section_str}] in case {case.name!r}") if out_section_missing: _case_fail(f"Required output section not found in case {case.name!r}") for passnum in stale_modules.keys(): if passnum not in rechecked_modules: # If the set of rechecked modules isn't specified, make it the same as the set # of modules with a stale public interface. rechecked_modules[passnum] = stale_modules[passnum] if ( passnum in stale_modules and passnum in rechecked_modules and not stale_modules[passnum].issubset(rechecked_modules[passnum]) ): _case_fail(f"Stale modules after pass {passnum} must be a subset of rechecked modules") output_inline_start = len(output) input = first_item.data expand_errors(input, output, "main") for file_path, contents in files: expand_errors(contents.split("\n"), output, file_path) seen_files = set() for file, _ in files: if file in seen_files: _case_fail(f"Duplicated filename {file}. Did you include it multiple times?") seen_files.add(file) case.input = input case.output = output case.output_inline_start = output_inline_start case.output2 = output2 case.last_line = case.line + item.line + len(item.data) - 2 case.files = files case.output_files = output_files case.expected_stale_modules = stale_modules case.expected_rechecked_modules = rechecked_modules case.deleted_paths = deleted_paths case.triggered = triggered or [] case.expected_fine_grained_targets = targets case.test_modules = test_modules class DataDrivenTestCase(pytest.Item): """Holds parsed data-driven test cases, and handles directory setup and teardown.""" # Override parent member type parent: DataFileCollector input: list[str] output: list[str] # Output for the first pass output_inline_start: int output2: dict[int, list[str]] # Output for runs 2+, indexed by run number # full path of test suite file = "" line = 0 # (file path, file content) tuples files: list[tuple[str, str]] # Modules which is to be considered "test" rather than "fixture" test_modules: list[str] expected_stale_modules: dict[int, set[str]] expected_rechecked_modules: dict[int, set[str]] expected_fine_grained_targets: dict[int, list[str]] # Whether or not we should normalize the output to standardize things like # forward vs backward slashes in file paths for Windows vs Linux. normalize_output: bool # Extra attributes used by some tests. last_line: int output_files: list[tuple[str, str | Pattern[str]]] # Path and contents for output files deleted_paths: dict[int, set[str]] # Mapping run number -> paths triggered: list[str] # Active triggers (one line per incremental step) def __init__( self, parent: DataFileCollector, suite: DataSuite, *, file: str, name: str, writescache: bool, only_when: str, normalize_output: bool, platform: str | None, skip: bool, xfail: bool, data: str, line: int, ) -> None: assert isinstance(parent, DataFileCollector) super().__init__(name, parent) self.suite = suite self.file = file self.writescache = writescache self.only_when = only_when self.normalize_output = normalize_output if (platform == "windows" and sys.platform != "win32") or ( platform == "posix" and sys.platform == "win32" ): skip = True self.skip = skip self.xfail = xfail self.data = data self.line = line self.old_cwd: str | None = None self.tmpdir: str | None = None def runtest(self) -> None: if self.skip: pytest.skip() # TODO: add a better error message for when someone uses skip and xfail at the same time elif self.xfail: self.add_marker(pytest.mark.xfail) parent = self.getparent(DataSuiteCollector) assert parent is not None, "Should not happen" suite = parent.obj() suite.setup() try: suite.run_case(self) except Exception: # As a debugging aid, support copying the contents of the tmp directory somewhere save_dir: str | None = self.config.getoption("--save-failures-to", None) if save_dir: assert self.tmpdir is not None target_dir = os.path.join(save_dir, os.path.basename(self.tmpdir)) print(f"Copying data from test {self.name} to {target_dir}") if not os.path.isabs(target_dir): assert self.old_cwd target_dir = os.path.join(self.old_cwd, target_dir) shutil.copytree(self.tmpdir, target_dir) raise def setup(self) -> None: parse_test_case(case=self) self.old_cwd = os.getcwd() self.tmpdir = tempfile.mkdtemp(prefix="mypy-test-") os.chdir(self.tmpdir) os.mkdir(test_temp_dir) # Precalculate steps for find_steps() steps: dict[int, list[FileOperation]] = {} for path, content in self.files: m = re.match(r".*\.([0-9]+)$", path) if m: # Skip writing subsequent incremental steps - rather # store them as operations. num = int(m.group(1)) assert num >= 2 target_path = re.sub(r"\.[0-9]+$", "", path) module = module_from_path(target_path) operation = UpdateFile(module, content, target_path) steps.setdefault(num, []).append(operation) else: # Write the first incremental steps dir = os.path.dirname(path) os.makedirs(dir, exist_ok=True) with open(path, "w", encoding="utf8") as f: f.write(content) for num, paths in self.deleted_paths.items(): assert num >= 2 for path in paths: module = module_from_path(path) steps.setdefault(num, []).append(DeleteFile(module, path)) max_step = max(steps) if steps else 2 self.steps = [steps.get(num, []) for num in range(2, max_step + 1)] def teardown(self) -> None: if self.old_cwd is not None: os.chdir(self.old_cwd) if self.tmpdir is not None: shutil.rmtree(self.tmpdir, ignore_errors=True) self.old_cwd = None self.tmpdir = None def reportinfo(self) -> tuple[str, int, str]: return self.file, self.line, self.name def repr_failure( self, excinfo: pytest.ExceptionInfo[BaseException], style: Any | None = None ) -> str: excrepr: object if isinstance(excinfo.value, SystemExit): # We assume that before doing exit() (which raises SystemExit) we've printed # enough context about what happened so that a stack trace is not useful. # In particular, uncaught exceptions during semantic analysis or type checking # call exit() and they already print out a stack trace. excrepr = excinfo.exconly() elif isinstance(excinfo.value, pytest.fail.Exception) and not excinfo.value.pytrace: excrepr = excinfo.exconly() else: excinfo.traceback = self.parent._traceback_filter(excinfo) excrepr = excinfo.getrepr(style="short") return f"data: {self.file}:{self.line}:\n{excrepr}" def find_steps(self) -> list[list[FileOperation]]: """Return a list of descriptions of file operations for each incremental step. The first list item corresponds to the first incremental step, the second for the second step, etc. Each operation can either be a file modification/creation (UpdateFile) or deletion (DeleteFile). Defaults to having two steps if there aern't any operations. """ return self.steps def module_from_path(path: str) -> str: path = re.sub(r"\.pyi?$", "", path) # We can have a mix of Unix-style and Windows-style separators. parts = re.split(r"[/\\]", path) del parts[0] module = ".".join(parts) module = re.sub(r"\.__init__$", "", module) return module @dataclass class TestItem: """Parsed test caseitem. An item is of the form [id arg] .. data .. """ id: str arg: str | None # Processed, collapsed text data data: list[str] # Start line: 1-based, inclusive, relative to testcase line: int # End line: 1-based, exclusive, relative to testcase; not same as `line + len(test_item.data)` due to collapsing end_line: int @property def trimmed_newlines(self) -> int: # compensates for strip_list return self.end_line - self.line - len(self.data) def parse_test_data(raw_data: str, name: str) -> list[TestItem]: """Parse a list of lines that represent a sequence of test items.""" lines = ["", "[case " + name + "]"] + raw_data.split("\n") ret: list[TestItem] = [] data: list[str] = [] id: str | None = None arg: str | None = None i = 0 i0 = 0 while i < len(lines): s = lines[i].strip() if lines[i].startswith("[") and s.endswith("]"): if id: data = collapse_line_continuation(data) data = strip_list(data) ret.append(TestItem(id, arg, data, i0 + 1, i)) i0 = i id = s[1:-1] arg = None if " " in id: arg = id[id.index(" ") + 1 :] id = id[: id.index(" ")] data = [] elif lines[i].startswith("\\["): data.append(lines[i][1:]) elif not lines[i].startswith("--"): data.append(lines[i]) elif lines[i].startswith("----"): data.append(lines[i][2:]) i += 1 # Process the last item. if id: data = collapse_line_continuation(data) data = strip_list(data) ret.append(TestItem(id, arg, data, i0 + 1, i - 1)) return ret def strip_list(l: list[str]) -> list[str]: """Return a stripped copy of l. Strip whitespace at the end of all lines, and strip all empty lines from the end of the array. """ r: list[str] = [] for s in l: # Strip spaces at end of line r.append(re.sub(r"\s+$", "", s)) while r and r[-1] == "": r.pop() return r def collapse_line_continuation(l: list[str]) -> list[str]: r: list[str] = [] cont = False for s in l: ss = re.sub(r"\\$", "", s) if cont: r[-1] += re.sub("^ +", "", ss) else: r.append(ss) cont = s.endswith("\\") return r def expand_variables(s: str) -> str: return s.replace("", root_dir) def expand_errors(input: list[str], output: list[str], fnam: str) -> None: """Transform comments such as '# E: message' or '# E:3: message' in input. The result is lines like 'fnam:line: error: message'. """ for i in range(len(input)): # The first in the split things isn't a comment for possible_err_comment in input[i].split(" # ")[1:]: m = re.search( r"^([ENW]):((?P\d+):)? (?P.*)$", possible_err_comment.strip() ) if m: if m.group(1) == "E": severity = "error" elif m.group(1) == "N": severity = "note" elif m.group(1) == "W": severity = "warning" col = m.group("col") message = m.group("message") message = message.replace("\\#", "#") # adds back escaped # character if col is None: output.append(f"{fnam}:{i + 1}: {severity}: {message}") else: output.append(f"{fnam}:{i + 1}:{col}: {severity}: {message}") def fix_win_path(line: str) -> str: r"""Changes Windows paths to Linux paths in error messages. E.g. foo\bar.py -> foo/bar.py. """ line = line.replace(root_dir, root_dir.replace("\\", "/")) m = re.match(r"^([\S/]+):(\d+:)?(\s+.*)", line) if not m: return line else: filename, lineno, message = m.groups() return "{}:{}{}".format(filename.replace("\\", "/"), lineno or "", message) def fix_cobertura_filename(line: str) -> str: r"""Changes filename paths to Linux paths in Cobertura output files. E.g. filename="pkg\subpkg\a.py" -> filename="pkg/subpkg/a.py". """ m = re.search(r' None: # Clean up directory where mypyc tests write intermediate files on failure # to avoid any confusion between test runs if os.path.isdir(mypyc_output_dir): shutil.rmtree(mypyc_output_dir) # This function name is special to pytest. See # https://docs.pytest.org/en/latest/reference.html#initialization-hooks def pytest_addoption(parser: Any) -> None: group = parser.getgroup("mypy") group.addoption( "--update-data", action="store_true", default=False, help="Update test data to reflect actual output (supported only for certain tests)", ) group.addoption( "--save-failures-to", default=None, help="Copy the temp directories from failing tests to a target directory", ) group.addoption( "--mypy-verbose", action="count", help="Set the verbose flag when creating mypy Options" ) group.addoption( "--mypyc-showc", action="store_true", default=False, help="Display C code on mypyc test failures", ) group.addoption( "--mypyc-debug", default=None, dest="debugger", choices=SUPPORTED_DEBUGGERS, help="Run the first mypyc run test with the specified debugger", ) @pytest.hookimpl(tryfirst=True) def pytest_cmdline_main(config: pytest.Config) -> None: if config.getoption("--collectonly"): return # --update-data is not compatible with parallelized tests, disable parallelization if config.getoption("--update-data"): config.option.numprocesses = 0 # This function name is special to pytest. See # https://doc.pytest.org/en/latest/how-to/writing_plugins.html#collection-hooks def pytest_pycollect_makeitem(collector: Any, name: str, obj: object) -> Any | None: """Called by pytest on each object in modules configured in conftest.py files. collector is pytest.Collector, returns Optional[pytest.Class] """ if isinstance(obj, type): # Only classes derived from DataSuite contain test cases, not the DataSuite class itself if issubclass(obj, DataSuite) and obj is not DataSuite: # Non-None result means this obj is a test case. # The collect method of the returned DataSuiteCollector instance will be called later, # with self.obj being obj. return DataSuiteCollector.from_parent(parent=collector, name=name) return None _case_name_pattern = re.compile( r"(?P[a-zA-Z_0-9]+)" r"(?P-writescache)?" r"(?P-only_when_cache|-only_when_nocache)?" r"(?P-skip_path_normalization)?" r"(-(?Pposix|windows))?" r"(?P-skip)?" r"(?P-xfail)?" ) def split_test_cases( parent: DataFileCollector, suite: DataSuite, file: str ) -> Iterator[DataDrivenTestCase]: """Iterate over raw test cases in file, at collection time, ignoring sub items. The collection phase is slow, so any heavy processing should be deferred to after uninteresting tests are filtered (when using -k PATTERN switch). """ with open(file, encoding="utf-8") as f: data = f.read() cases = re.split(r"^\[case ([^]+)]+)\][ \t]*$\n", data, flags=re.DOTALL | re.MULTILINE) cases_iter = iter(cases) line_no = next(cases_iter).count("\n") + 1 test_names = set() for case_id in cases_iter: data = next(cases_iter) m = _case_name_pattern.fullmatch(case_id) if not m: raise RuntimeError(f"Invalid testcase id {case_id!r}") name = m.group("name") if name in test_names: raise RuntimeError( 'Found a duplicate test name "{}" in {} on line {}'.format( name, parent.name, line_no ) ) yield DataDrivenTestCase.from_parent( parent=parent, suite=suite, file=file, name=add_test_name_suffix(name, suite.test_name_suffix), writescache=bool(m.group("writescache")), only_when=m.group("only_when"), platform=m.group("platform"), skip=bool(m.group("skip")), xfail=bool(m.group("xfail")), normalize_output=not m.group("skip_path_normalization"), data=data, line=line_no, ) line_no += data.count("\n") + 1 # Record existing tests to prevent duplicates: test_names.update({name}) class DataSuiteCollector(pytest.Class): def collect(self) -> Iterator[DataFileCollector]: """Called by pytest on each of the object returned from pytest_pycollect_makeitem""" # obj is the object for which pytest_pycollect_makeitem returned self. suite: DataSuite = self.obj assert os.path.isdir( suite.data_prefix ), f"Test data prefix ({suite.data_prefix}) not set correctly" for data_file in suite.files: yield DataFileCollector.from_parent(parent=self, name=data_file) class DataFileFix(NamedTuple): lineno: int # 1-offset, inclusive end_lineno: int # 1-offset, exclusive lines: list[str] class DataFileCollector(pytest.Collector): """Represents a single `.test` data driven test file. More context: https://github.com/python/mypy/issues/11662 """ parent: DataSuiteCollector _fixes: list[DataFileFix] @classmethod # We have to fight with pytest here: def from_parent( cls, parent: DataSuiteCollector, *, name: str # type: ignore[override] ) -> DataFileCollector: collector = super().from_parent(parent, name=name) assert isinstance(collector, DataFileCollector) return collector def collect(self) -> Iterator[DataDrivenTestCase]: yield from split_test_cases( parent=self, suite=self.parent.obj, file=os.path.join(self.parent.obj.data_prefix, self.name), ) def setup(self) -> None: super().setup() self._fixes = [] def teardown(self) -> None: super().teardown() self._apply_fixes() def enqueue_fix(self, fix: DataFileFix) -> None: self._fixes.append(fix) def _apply_fixes(self) -> None: if not self._fixes: return data_path = Path(self.parent.obj.data_prefix) / self.name lines = data_path.read_text().split("\n") # start from end to prevent line offsets from shifting as we update for fix in sorted(self._fixes, reverse=True): lines[fix.lineno - 1 : fix.end_lineno - 1] = fix.lines data_path.write_text("\n".join(lines)) def add_test_name_suffix(name: str, suffix: str) -> str: # Find magic suffix of form "-foobar" (used for things like "-skip"). m = re.search(r"-[-A-Za-z0-9]+$", name) if m: # Insert suite-specific test name suffix before the magic suffix # which must be the last thing in the test case name since we # are using endswith() checks. magic_suffix = m.group(0) return name[: -len(magic_suffix)] + suffix + magic_suffix else: return name + suffix def is_incremental(testcase: DataDrivenTestCase) -> bool: return "incremental" in testcase.name.lower() or "incremental" in testcase.file def has_stable_flags(testcase: DataDrivenTestCase) -> bool: if any(re.match(r"# flags[2-9]:", line) for line in testcase.input): return False for filename, contents in testcase.files: if os.path.basename(filename).startswith("mypy.ini."): return False return True class DataSuite: # option fields - class variables files: list[str] base_path = test_temp_dir # Allow external users of the test code to override the data prefix data_prefix = test_data_prefix required_out_section = False native_sep = False # Name suffix automatically added to each test case in the suite (can be # used to distinguish test cases in suites that share data files) test_name_suffix = "" def setup(self) -> None: """Setup fixtures (ad-hoc)""" @abstractmethod def run_case(self, testcase: DataDrivenTestCase) -> None: raise NotImplementedError ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/helpers.py0000644000175100017510000004063015112307767016253 0ustar00runnerrunnerfrom __future__ import annotations import contextlib import difflib import os import pathlib import re import shutil import sys import time from collections.abc import Iterable, Iterator from re import Pattern from typing import IO, Any, Callable # Exporting Suite as alias to TestCase for backwards compatibility # TODO: avoid aliasing - import and subclass TestCase directly from unittest import TestCase Suite = TestCase # re-exporting import pytest import mypy.api as api import mypy.version from mypy import defaults from mypy.main import process_options from mypy.options import Options from mypy.test.config import test_data_prefix, test_temp_dir from mypy.test.data import DataDrivenTestCase, DeleteFile, UpdateFile, fix_cobertura_filename skip = pytest.mark.skip # AssertStringArraysEqual displays special line alignment helper messages if # the first different line has at least this many characters, MIN_LINE_LENGTH_FOR_ALIGNMENT = 5 def run_mypy(args: list[str]) -> None: __tracebackhide__ = True # We must enable site packages even though they could cause problems, # since stubs for typing_extensions live there. outval, errval, status = api.run(args + ["--show-traceback", "--no-silence-site-packages"]) if status != 0: sys.stdout.write(outval) sys.stderr.write(errval) pytest.fail(reason="Sample check failed", pytrace=False) def diff_ranges( left: list[str], right: list[str] ) -> tuple[list[tuple[int, int]], list[tuple[int, int]]]: seq = difflib.SequenceMatcher(None, left, right) # note last triple is a dummy, so don't need to worry blocks = seq.get_matching_blocks() i = 0 j = 0 left_ranges = [] right_ranges = [] for block in blocks: # mismatched range left_ranges.append((i, block.a)) right_ranges.append((j, block.b)) i = block.a + block.size j = block.b + block.size # matched range left_ranges.append((block.a, i)) right_ranges.append((block.b, j)) return left_ranges, right_ranges def render_diff_range( ranges: list[tuple[int, int]], content: list[str], *, colour: str | None = None, output: IO[str] = sys.stderr, indent: int = 2, ) -> None: for i, line_range in enumerate(ranges): is_matching = i % 2 == 1 lines = content[line_range[0] : line_range[1]] for j, line in enumerate(lines): if ( is_matching # elide the middle of matching blocks and j >= 3 and j < len(lines) - 3 ): if j == 3: output.write(" " * indent + "...\n") continue if not is_matching and colour: output.write(colour) output.write(" " * indent + line) if not is_matching: if colour: output.write("\033[0m") output.write(" (diff)") output.write("\n") def assert_string_arrays_equal( expected: list[str], actual: list[str], msg: str, *, traceback: bool = False ) -> None: """Assert that two string arrays are equal. Display any differences in a human-readable form. """ actual = clean_up(actual) if expected != actual: expected_ranges, actual_ranges = diff_ranges(expected, actual) sys.stderr.write("Expected:\n") red = "\033[31m" if sys.platform != "win32" else None render_diff_range(expected_ranges, expected, colour=red) sys.stderr.write("Actual:\n") green = "\033[32m" if sys.platform != "win32" else None render_diff_range(actual_ranges, actual, colour=green) sys.stderr.write("\n") first_diff = next( (i for i, (a, b) in enumerate(zip(expected, actual)) if a != b), max(len(expected), len(actual)), ) if 0 <= first_diff < len(actual) and ( len(expected[first_diff]) >= MIN_LINE_LENGTH_FOR_ALIGNMENT or len(actual[first_diff]) >= MIN_LINE_LENGTH_FOR_ALIGNMENT ): # Display message that helps visualize the differences between two # long lines. show_align_message(expected[first_diff], actual[first_diff]) sys.stderr.write( "Update the test output using --update-data " "(implies -n0; you can additionally use the -k selector to update only specific tests)\n" ) pytest.fail(msg, pytrace=traceback) def assert_module_equivalence(name: str, expected: Iterable[str], actual: Iterable[str]) -> None: expected_normalized = sorted(expected) actual_normalized = sorted(set(actual).difference({"__main__"})) assert_string_arrays_equal( expected_normalized, actual_normalized, ('Actual modules ({}) do not match expected modules ({}) for "[{} ...]"').format( ", ".join(actual_normalized), ", ".join(expected_normalized), name ), ) def assert_target_equivalence(name: str, expected: list[str], actual: list[str]) -> None: """Compare actual and expected targets (order sensitive).""" assert_string_arrays_equal( expected, actual, ('Actual targets ({}) do not match expected targets ({}) for "[{} ...]"').format( ", ".join(actual), ", ".join(expected), name ), ) def show_align_message(s1: str, s2: str) -> None: """Align s1 and s2 so that the their first difference is highlighted. For example, if s1 is 'foobar' and s2 is 'fobar', display the following lines: E: foobar A: fobar ^ If s1 and s2 are long, only display a fragment of the strings around the first difference. If s1 is very short, do nothing. """ # Seeing what went wrong is trivial even without alignment if the expected # string is very short. In this case do nothing to simplify output. if len(s1) < 4: return maxw = 72 # Maximum number of characters shown sys.stderr.write("Alignment of first line difference:\n") trunc = False while s1[:30] == s2[:30]: s1 = s1[10:] s2 = s2[10:] trunc = True if trunc: s1 = "..." + s1 s2 = "..." + s2 max_len = max(len(s1), len(s2)) extra = "" if max_len > maxw: extra = "..." # Write a chunk of both lines, aligned. sys.stderr.write(f" E: {s1[:maxw]}{extra}\n") sys.stderr.write(f" A: {s2[:maxw]}{extra}\n") # Write an indicator character under the different columns. sys.stderr.write(" ") for j in range(min(maxw, max(len(s1), len(s2)))): if s1[j : j + 1] != s2[j : j + 1]: sys.stderr.write("^") # Difference break else: sys.stderr.write(" ") # Equal sys.stderr.write("\n") def clean_up(a: list[str]) -> list[str]: """Remove common directory prefix from all strings in a. This uses a naive string replace; it seems to work well enough. Also remove trailing carriage returns. """ res = [] pwd = os.getcwd() driver = pwd + "/driver.py" for s in a: prefix = os.sep ss = s for p in prefix, prefix.replace(os.sep, "/"): if p != "/" and p != "//" and p != "\\" and p != "\\\\": ss = ss.replace(p, "") # Replace memory address with zeros if "at 0x" in ss: ss = re.sub(r"(at 0x)\w+>", r"\g<1>000000000000>", ss) # Ignore spaces at end of line. ss = re.sub(" +$", "", ss) # Remove pwd from driver.py's path ss = ss.replace(driver, "driver.py") res.append(re.sub("\\r$", "", ss)) return res @contextlib.contextmanager def local_sys_path_set() -> Iterator[None]: """Temporary insert current directory into sys.path. This can be used by test cases that do runtime imports, for example by the stubgen tests. """ old_sys_path = sys.path.copy() if not ("" in sys.path or "." in sys.path): sys.path.insert(0, "") try: yield finally: sys.path = old_sys_path def testfile_pyversion(path: str) -> tuple[int, int]: if m := re.search(r"python3([0-9]+)\.test$", path): # For older unsupported version like python38, # default to that earliest supported version. return max((3, int(m.group(1))), defaults.PYTHON3_VERSION_MIN) else: return defaults.PYTHON3_VERSION_MIN def normalize_error_messages(messages: list[str]) -> list[str]: """Translate an array of error messages to use / as path separator.""" a = [] for m in messages: a.append(m.replace(os.sep, "/")) return a def retry_on_error(func: Callable[[], Any], max_wait: float = 1.0) -> None: """Retry callback with exponential backoff when it raises OSError. If the function still generates an error after max_wait seconds, propagate the exception. This can be effective against random file system operation failures on Windows. """ t0 = time.time() wait_time = 0.01 while True: try: func() return except OSError: wait_time = min(wait_time * 2, t0 + max_wait - time.time()) if wait_time <= 0.01: # Done enough waiting, the error seems persistent. raise time.sleep(wait_time) def good_repr(obj: object) -> str: if isinstance(obj, str): if obj.count("\n") > 1: bits = ["'''\\"] for line in obj.split("\n"): # force repr to use ' not ", then cut it off bits.append(repr('"' + line)[2:-1]) bits[-1] += "'''" return "\n".join(bits) return repr(obj) def assert_equal(a: object, b: object, fmt: str = "{} != {}") -> None: __tracebackhide__ = True if a != b: raise AssertionError(fmt.format(good_repr(a), good_repr(b))) def typename(t: type) -> str: if "." in str(t): return str(t).split(".")[-1].rstrip("'>") else: return str(t)[8:-2] def assert_type(typ: type, value: object) -> None: __tracebackhide__ = True if type(value) != typ: raise AssertionError(f"Invalid type {typename(type(value))}, expected {typename(typ)}") def parse_options( program_text: str, testcase: DataDrivenTestCase, incremental_step: int ) -> Options: """Parse comments like '# flags: --foo' in a test case.""" options = Options() flags = re.search("# flags: (.*)$", program_text, flags=re.MULTILINE) if incremental_step > 1: flags2 = re.search(f"# flags{incremental_step}: (.*)$", program_text, flags=re.MULTILINE) if flags2: flags = flags2 if flags: flag_list = flags.group(1).split() flag_list.append("--no-site-packages") # the tests shouldn't need an installed Python targets, options = process_options(flag_list, require_targets=False) if targets: # TODO: support specifying targets via the flags pragma raise RuntimeError("Specifying targets via the flags pragma is not supported.") if "--show-error-codes" not in flag_list: options.hide_error_codes = True else: flag_list = [] options = Options() options.error_summary = False options.hide_error_codes = True options.force_union_syntax = True # Allow custom python version to override testfile_pyversion. if all(flag.split("=")[0] != "--python-version" for flag in flag_list): options.python_version = testfile_pyversion(testcase.file) if testcase.config.getoption("--mypy-verbose"): options.verbosity = testcase.config.getoption("--mypy-verbose") return options def split_lines(*streams: bytes) -> list[str]: """Returns a single list of string lines from the byte streams in args.""" return [s for stream in streams for s in stream.decode("utf8").splitlines()] def write_and_fudge_mtime(content: str, target_path: str) -> None: # In some systems, mtime has a resolution of 1 second which can # cause annoying-to-debug issues when a file has the same size # after a change. We manually set the mtime to circumvent this. # Note that we increment the old file's mtime, which guarantees a # different value, rather than incrementing the mtime after the # copy, which could leave the mtime unchanged if the old file had # a similarly fudged mtime. new_time = None if os.path.isfile(target_path): new_time = os.stat(target_path).st_mtime + 1 dir = os.path.dirname(target_path) os.makedirs(dir, exist_ok=True) with open(target_path, "w", encoding="utf-8") as target: target.write(content) if new_time: os.utime(target_path, times=(new_time, new_time)) def perform_file_operations(operations: list[UpdateFile | DeleteFile]) -> None: for op in operations: if isinstance(op, UpdateFile): # Modify/create file write_and_fudge_mtime(op.content, op.target_path) else: # Delete file/directory if os.path.isdir(op.path): # Sanity check to avoid unexpected deletions assert op.path.startswith("tmp") shutil.rmtree(op.path) else: # Use retries to work around potential flakiness on Windows (AppVeyor). path = op.path retry_on_error(lambda: os.remove(path)) def check_test_output_files( testcase: DataDrivenTestCase, step: int, strip_prefix: str = "" ) -> None: for path, expected_content in testcase.output_files: path = path.removeprefix(strip_prefix) if not os.path.exists(path): raise AssertionError( "Expected file {} was not produced by test case{}".format( path, " on step %d" % step if testcase.output2 else "" ) ) with open(path, encoding="utf8") as output_file: actual_output_content = output_file.read() if isinstance(expected_content, Pattern): if expected_content.fullmatch(actual_output_content) is not None: continue raise AssertionError( "Output file {} did not match its expected output pattern\n---\n{}\n---".format( path, actual_output_content ) ) normalized_output = normalize_file_output( actual_output_content.splitlines(), os.path.abspath(test_temp_dir) ) # We always normalize things like timestamp, but only handle operating-system # specific things if requested. if testcase.normalize_output: if testcase.suite.native_sep and os.path.sep == "\\": normalized_output = [fix_cobertura_filename(line) for line in normalized_output] normalized_output = normalize_error_messages(normalized_output) if os.path.basename(testcase.file) == "reports.test": normalized_output = normalize_report_meta(normalized_output) assert_string_arrays_equal( expected_content.splitlines(), normalized_output, "Output file {} did not match its expected output{}".format( path, " on step %d" % step if testcase.output2 else "" ), ) def normalize_file_output(content: list[str], current_abs_path: str) -> list[str]: """Normalize file output for comparison.""" timestamp_regex = re.compile(r"\d{10}") result = [x.replace(current_abs_path, "$PWD") for x in content] version = mypy.version.__version__ result = [re.sub(r"\b" + re.escape(version) + r"\b", "$VERSION", x) for x in result] # We generate a new mypy.version when building mypy wheels that # lacks base_version, so handle that case. base_version = getattr(mypy.version, "base_version", version) result = [re.sub(r"\b" + re.escape(base_version) + r"\b", "$VERSION", x) for x in result] result = [timestamp_regex.sub("$TIMESTAMP", x) for x in result] return result def normalize_report_meta(content: list[str]) -> list[str]: # libxml 2.15 and newer emits the "modern" version of this element. # Normalize the old style to look the same. html_meta = '' return ['' if x == html_meta else x for x in content] def find_test_files(pattern: str, exclude: list[str] | None = None) -> list[str]: return [ path.name for path in (pathlib.Path(test_data_prefix).rglob(pattern)) if path.name not in (exclude or []) ] ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4927645 mypy-1.19.0/mypy/test/meta/0000755000175100017510000000000015112310011015132 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/meta/__init__.py0000644000175100017510000000000015112307767017261 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/meta/_pytest.py0000644000175100017510000000434415112307767017230 0ustar00runnerrunnerimport shlex import subprocess import sys import textwrap import uuid from collections.abc import Iterable from dataclasses import dataclass from pathlib import Path from mypy.test.config import test_data_prefix @dataclass class PytestResult: input: str input_updated: str # any updates made by --update-data stdout: str stderr: str def dedent_docstring(s: str) -> str: return textwrap.dedent(s).lstrip() def run_pytest_data_suite( data_suite: str, *, data_file_prefix: str = "check", pytest_node_prefix: str = "mypy/test/testcheck.py::TypeCheckSuite", extra_args: Iterable[str], max_attempts: int, ) -> PytestResult: """ Runs a suite of data test cases through pytest until either tests pass or until a maximum number of attempts (needed for incremental tests). :param data_suite: the actual "suite" i.e. the contents of a .test file """ p_test_data = Path(test_data_prefix) p_root = p_test_data.parent.parent p = p_test_data / f"{data_file_prefix}-meta-{uuid.uuid4()}.test" assert not p.exists() data_suite = dedent_docstring(data_suite) try: p.write_text(data_suite) test_nodeid = f"{pytest_node_prefix}::{p.name}" extra_args = [sys.executable, "-m", "pytest", "-n", "0", "-s", *extra_args, test_nodeid] cmd = shlex.join(extra_args) for i in range(max_attempts - 1, -1, -1): print(f">> {cmd}") proc = subprocess.run(extra_args, capture_output=True, check=False, cwd=p_root) if proc.returncode == 0: break prefix = "NESTED PYTEST STDOUT" for line in proc.stdout.decode().splitlines(): print(f"{prefix}: {line}") prefix = " " * len(prefix) prefix = "NESTED PYTEST STDERR" for line in proc.stderr.decode().splitlines(): print(f"{prefix}: {line}") prefix = " " * len(prefix) print(f"Exit code {proc.returncode} ({i} attempts remaining)") return PytestResult( input=data_suite, input_updated=p.read_text(), stdout=proc.stdout.decode(), stderr=proc.stderr.decode(), ) finally: p.unlink() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/meta/test_diff_helper.py0000644000175100017510000000323415112307767021044 0ustar00runnerrunnerimport io from mypy.test.helpers import Suite, diff_ranges, render_diff_range class DiffHelperSuite(Suite): def test_render_diff_range(self) -> None: expected = ["hello", "world"] actual = ["goodbye", "world"] expected_ranges, actual_ranges = diff_ranges(expected, actual) output = io.StringIO() render_diff_range(expected_ranges, expected, output=output) assert output.getvalue() == " hello (diff)\n world\n" output = io.StringIO() render_diff_range(actual_ranges, actual, output=output) assert output.getvalue() == " goodbye (diff)\n world\n" expected = ["a", "b", "c", "d", "e", "f", "g", "h", "circle", "i", "j"] actual = ["a", "b", "c", "d", "e", "f", "g", "h", "square", "i", "j"] expected_ranges, actual_ranges = diff_ranges(expected, actual) output = io.StringIO() render_diff_range(expected_ranges, expected, output=output, indent=0) assert output.getvalue() == "a\nb\nc\n...\nf\ng\nh\ncircle (diff)\ni\nj\n" output = io.StringIO() render_diff_range(actual_ranges, actual, output=output, indent=0) assert output.getvalue() == "a\nb\nc\n...\nf\ng\nh\nsquare (diff)\ni\nj\n" def test_diff_ranges(self) -> None: a = ["hello", "world"] b = ["hello", "world"] assert diff_ranges(a, b) == ( [(0, 0), (0, 2), (2, 2), (2, 2)], [(0, 0), (0, 2), (2, 2), (2, 2)], ) a = ["hello", "world"] b = ["goodbye", "world"] assert diff_ranges(a, b) == ( [(0, 1), (1, 2), (2, 2), (2, 2)], [(0, 1), (1, 2), (2, 2), (2, 2)], ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/meta/test_parse_data.py0000644000175100017510000000361315112307767020701 0ustar00runnerrunner""" A "meta test" which tests the parsing of .test files. This is not meant to become exhaustive but to ensure we maintain a basic level of ergonomics for mypy contributors. """ from mypy.test.helpers import Suite from mypy.test.meta._pytest import PytestResult, run_pytest_data_suite def _run_pytest(data_suite: str) -> PytestResult: return run_pytest_data_suite(data_suite, extra_args=[], max_attempts=1) class ParseTestDataSuite(Suite): def test_parse_invalid_case(self) -> None: # Act result = _run_pytest( """ [case abc] s: str [case foo-XFAIL] s: str """ ) # Assert assert "Invalid testcase id 'foo-XFAIL'" in result.stdout def test_parse_invalid_section(self) -> None: # Act result = _run_pytest( """ [case abc] s: str [unknownsection] abc """ ) # Assert expected_lineno = result.input.splitlines().index("[unknownsection]") + 1 expected = ( f".test:{expected_lineno}: Invalid section header [unknownsection] in case 'abc'" ) assert expected in result.stdout def test_bad_ge_version_check(self) -> None: # Act actual = _run_pytest( """ [case abc] s: str [out version>=3.9] abc """ ) # Assert assert "version>=3.9 always true since minimum runtime version is (3, 9)" in actual.stdout def test_bad_eq_version_check(self) -> None: # Act actual = _run_pytest( """ [case abc] s: str [out version==3.7] abc """ ) # Assert assert "version==3.7 always false since minimum runtime version is (3, 9)" in actual.stdout ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/meta/test_update_data.py0000644000175100017510000001131615112307767021050 0ustar00runnerrunner""" A "meta test" which tests the `--update-data` feature for updating .test files. Updating the expected output, especially when it's in the form of inline (comment) assertions, can be brittle, which is why we're "meta-testing" here. """ from mypy.test.helpers import Suite from mypy.test.meta._pytest import PytestResult, dedent_docstring, run_pytest_data_suite def _run_pytest_update_data(data_suite: str) -> PytestResult: """ Runs a suite of data test cases through 'pytest --update-data' until either tests pass or until a maximum number of attempts (needed for incremental tests). """ return run_pytest_data_suite(data_suite, extra_args=["--update-data"], max_attempts=3) class UpdateDataSuite(Suite): def test_update_data(self) -> None: # Note: We test multiple testcases rather than 'test case per test case' # so we could also exercise rewriting multiple testcases at once. result = _run_pytest_update_data( """ [case testCorrect] s: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testWrong] s: str = 42 # E: wrong error [case testXfail-xfail] s: str = 42 # E: wrong error [case testWrongMultiline] s: str = 42 # E: foo \ # N: bar [case testMissingMultiline] s: str = 42; i: int = 'foo' [case testExtraneous] s: str = 'foo' # E: wrong error [case testExtraneousMultiline] s: str = 'foo' # E: foo \ # E: bar [case testExtraneousMultilineNonError] s: str = 'foo' # W: foo \ # N: bar [case testOutCorrect] s: str = 42 [out] main:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testOutWrong] s: str = 42 [out] main:1: error: foobar [case testOutWrongIncremental] s: str = 42 [out] main:1: error: foobar [out2] main:1: error: foobar [case testWrongMultipleFiles] import a, b s: str = 42 # E: foo [file a.py] s1: str = 42 # E: bar [file b.py] s2: str = 43 # E: baz [builtins fixtures/list.pyi] """ ) # Assert expected = dedent_docstring( """ [case testCorrect] s: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testWrong] s: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testXfail-xfail] s: str = 42 # E: wrong error [case testWrongMultiline] s: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testMissingMultiline] s: str = 42; i: int = 'foo' # E: Incompatible types in assignment (expression has type "int", variable has type "str") \\ # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testExtraneous] s: str = 'foo' [case testExtraneousMultiline] s: str = 'foo' [case testExtraneousMultilineNonError] s: str = 'foo' [case testOutCorrect] s: str = 42 [out] main:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testOutWrong] s: str = 42 [out] main:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testOutWrongIncremental] s: str = 42 [out] main:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") [out2] main:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testWrongMultipleFiles] import a, b s: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file a.py] s1: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file b.py] s2: str = 43 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/list.pyi] """ ) assert result.input_updated == expected ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/test_config_parser.py0000644000175100017510000001010715112307767020465 0ustar00runnerrunnerfrom __future__ import annotations import contextlib import os import tempfile import unittest from collections.abc import Iterator from pathlib import Path from mypy.config_parser import _find_config_file from mypy.defaults import CONFIG_NAMES, SHARED_CONFIG_NAMES @contextlib.contextmanager def chdir(target: Path) -> Iterator[None]: # Replace with contextlib.chdir in Python 3.11 dir = os.getcwd() os.chdir(target) try: yield finally: os.chdir(dir) def write_config(path: Path, content: str | None = None) -> None: if path.suffix == ".toml": if content is None: content = "[tool.mypy]\nstrict = true" path.write_text(content) else: if content is None: content = "[mypy]\nstrict = True" path.write_text(content) class FindConfigFileSuite(unittest.TestCase): def test_no_config(self) -> None: with tempfile.TemporaryDirectory() as _tmpdir: tmpdir = Path(_tmpdir) (tmpdir / ".git").touch() with chdir(tmpdir): result = _find_config_file() assert result is None def test_parent_config_with_and_without_git(self) -> None: for name in CONFIG_NAMES + SHARED_CONFIG_NAMES: with tempfile.TemporaryDirectory() as _tmpdir: tmpdir = Path(_tmpdir) config = tmpdir / name write_config(config) child = tmpdir / "child" child.mkdir() with chdir(child): result = _find_config_file() assert result is not None assert Path(result[2]).resolve() == config.resolve() git = child / ".git" git.touch() result = _find_config_file() assert result is None git.unlink() result = _find_config_file() assert result is not None hg = child / ".hg" hg.touch() result = _find_config_file() assert result is None def test_precedence(self) -> None: with tempfile.TemporaryDirectory() as _tmpdir: tmpdir = Path(_tmpdir) pyproject = tmpdir / "pyproject.toml" setup_cfg = tmpdir / "setup.cfg" mypy_ini = tmpdir / "mypy.ini" dot_mypy = tmpdir / ".mypy.ini" child = tmpdir / "child" child.mkdir() for cwd in [tmpdir, child]: write_config(pyproject) write_config(setup_cfg) write_config(mypy_ini) write_config(dot_mypy) with chdir(cwd): result = _find_config_file() assert result is not None assert os.path.basename(result[2]) == "mypy.ini" mypy_ini.unlink() result = _find_config_file() assert result is not None assert os.path.basename(result[2]) == ".mypy.ini" dot_mypy.unlink() result = _find_config_file() assert result is not None assert os.path.basename(result[2]) == "pyproject.toml" pyproject.unlink() result = _find_config_file() assert result is not None assert os.path.basename(result[2]) == "setup.cfg" def test_precedence_missing_section(self) -> None: with tempfile.TemporaryDirectory() as _tmpdir: tmpdir = Path(_tmpdir) child = tmpdir / "child" child.mkdir() parent_mypy = tmpdir / "mypy.ini" child_pyproject = child / "pyproject.toml" write_config(parent_mypy) write_config(child_pyproject, content="") with chdir(child): result = _find_config_file() assert result is not None assert Path(result[2]).resolve() == parent_mypy.resolve() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/test_find_sources.py0000644000175100017510000003257515112307767020344 0ustar00runnerrunnerfrom __future__ import annotations import os import shutil import tempfile import unittest import pytest from mypy.find_sources import InvalidSourceList, SourceFinder, create_source_list from mypy.fscache import FileSystemCache from mypy.modulefinder import BuildSource from mypy.options import Options class FakeFSCache(FileSystemCache): def __init__(self, files: set[str]) -> None: self.files = {os.path.abspath(f) for f in files} def isfile(self, path: str) -> bool: return path in self.files def isdir(self, path: str) -> bool: if not path.endswith(os.sep): path += os.sep return any(f.startswith(path) for f in self.files) def listdir(self, path: str) -> list[str]: if not path.endswith(os.sep): path += os.sep return list({f[len(path) :].split(os.sep)[0] for f in self.files if f.startswith(path)}) def init_under_package_root(self, path: str) -> bool: return False def normalise_path(path: str) -> str: path = os.path.splitdrive(path)[1] path = path.replace(os.sep, "/") return path def normalise_build_source_list(sources: list[BuildSource]) -> list[tuple[str, str | None]]: return sorted( (s.module, (normalise_path(s.base_dir) if s.base_dir is not None else None)) for s in sources ) def crawl(finder: SourceFinder, f: str) -> tuple[str, str]: module, base_dir = finder.crawl_up(f) return module, normalise_path(base_dir) def find_sources_in_dir(finder: SourceFinder, f: str) -> list[tuple[str, str | None]]: return normalise_build_source_list(finder.find_sources_in_dir(os.path.abspath(f))) def find_sources( paths: list[str], options: Options, fscache: FileSystemCache ) -> list[tuple[str, str | None]]: paths = [os.path.abspath(p) for p in paths] return normalise_build_source_list(create_source_list(paths, options, fscache)) class SourceFinderSuite(unittest.TestCase): def setUp(self) -> None: self.tempdir = tempfile.mkdtemp() self.oldcwd = os.getcwd() os.chdir(self.tempdir) def tearDown(self) -> None: os.chdir(self.oldcwd) shutil.rmtree(self.tempdir) def test_crawl_no_namespace(self) -> None: options = Options() options.namespace_packages = False finder = SourceFinder(FakeFSCache({"/setup.py"}), options) assert crawl(finder, "/setup.py") == ("setup", "/") finder = SourceFinder(FakeFSCache({"/a/setup.py"}), options) assert crawl(finder, "/a/setup.py") == ("setup", "/a") finder = SourceFinder(FakeFSCache({"/a/b/setup.py"}), options) assert crawl(finder, "/a/b/setup.py") == ("setup", "/a/b") finder = SourceFinder(FakeFSCache({"/a/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/setup.py") == ("a.setup", "/") finder = SourceFinder(FakeFSCache({"/a/invalid-name/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/invalid-name/setup.py") == ("setup", "/a/invalid-name") finder = SourceFinder(FakeFSCache({"/a/b/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/b/setup.py") == ("setup", "/a/b") finder = SourceFinder( FakeFSCache({"/a/b/c/setup.py", "/a/__init__.py", "/a/b/c/__init__.py"}), options ) assert crawl(finder, "/a/b/c/setup.py") == ("c.setup", "/a/b") def test_crawl_namespace(self) -> None: options = Options() options.namespace_packages = True finder = SourceFinder(FakeFSCache({"/setup.py"}), options) assert crawl(finder, "/setup.py") == ("setup", "/") finder = SourceFinder(FakeFSCache({"/a/setup.py"}), options) assert crawl(finder, "/a/setup.py") == ("setup", "/a") finder = SourceFinder(FakeFSCache({"/a/b/setup.py"}), options) assert crawl(finder, "/a/b/setup.py") == ("setup", "/a/b") finder = SourceFinder(FakeFSCache({"/a/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/setup.py") == ("a.setup", "/") finder = SourceFinder(FakeFSCache({"/a/invalid-name/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/invalid-name/setup.py") == ("setup", "/a/invalid-name") finder = SourceFinder(FakeFSCache({"/a/b/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/b/setup.py") == ("a.b.setup", "/") finder = SourceFinder( FakeFSCache({"/a/b/c/setup.py", "/a/__init__.py", "/a/b/c/__init__.py"}), options ) assert crawl(finder, "/a/b/c/setup.py") == ("a.b.c.setup", "/") def test_crawl_namespace_explicit_base(self) -> None: options = Options() options.namespace_packages = True options.explicit_package_bases = True finder = SourceFinder(FakeFSCache({"/setup.py"}), options) assert crawl(finder, "/setup.py") == ("setup", "/") finder = SourceFinder(FakeFSCache({"/a/setup.py"}), options) assert crawl(finder, "/a/setup.py") == ("setup", "/a") finder = SourceFinder(FakeFSCache({"/a/b/setup.py"}), options) assert crawl(finder, "/a/b/setup.py") == ("setup", "/a/b") finder = SourceFinder(FakeFSCache({"/a/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/setup.py") == ("a.setup", "/") finder = SourceFinder(FakeFSCache({"/a/invalid-name/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/invalid-name/setup.py") == ("setup", "/a/invalid-name") finder = SourceFinder(FakeFSCache({"/a/b/setup.py", "/a/__init__.py"}), options) assert crawl(finder, "/a/b/setup.py") == ("a.b.setup", "/") finder = SourceFinder( FakeFSCache({"/a/b/c/setup.py", "/a/__init__.py", "/a/b/c/__init__.py"}), options ) assert crawl(finder, "/a/b/c/setup.py") == ("a.b.c.setup", "/") # set mypy path, so we actually have some explicit base dirs options.mypy_path = ["/a/b"] finder = SourceFinder(FakeFSCache({"/a/b/c/setup.py"}), options) assert crawl(finder, "/a/b/c/setup.py") == ("c.setup", "/a/b") finder = SourceFinder( FakeFSCache({"/a/b/c/setup.py", "/a/__init__.py", "/a/b/c/__init__.py"}), options ) assert crawl(finder, "/a/b/c/setup.py") == ("c.setup", "/a/b") options.mypy_path = ["/a/b", "/a/b/c"] finder = SourceFinder(FakeFSCache({"/a/b/c/setup.py"}), options) assert crawl(finder, "/a/b/c/setup.py") == ("setup", "/a/b/c") def test_crawl_namespace_multi_dir(self) -> None: options = Options() options.namespace_packages = True options.explicit_package_bases = True options.mypy_path = ["/a", "/b"] finder = SourceFinder(FakeFSCache({"/a/pkg/a.py", "/b/pkg/b.py"}), options) assert crawl(finder, "/a/pkg/a.py") == ("pkg.a", "/a") assert crawl(finder, "/b/pkg/b.py") == ("pkg.b", "/b") def test_find_sources_in_dir_no_namespace(self) -> None: options = Options() options.namespace_packages = False files = { "/pkg/a1/b/c/d/e.py", "/pkg/a1/b/f.py", "/pkg/a2/__init__.py", "/pkg/a2/b/c/d/e.py", "/pkg/a2/b/f.py", } finder = SourceFinder(FakeFSCache(files), options) assert find_sources_in_dir(finder, "/") == [ ("a2", "/pkg"), ("e", "/pkg/a1/b/c/d"), ("e", "/pkg/a2/b/c/d"), ("f", "/pkg/a1/b"), ("f", "/pkg/a2/b"), ] def test_find_sources_in_dir_namespace(self) -> None: options = Options() options.namespace_packages = True files = { "/pkg/a1/b/c/d/e.py", "/pkg/a1/b/f.py", "/pkg/a2/__init__.py", "/pkg/a2/b/c/d/e.py", "/pkg/a2/b/f.py", } finder = SourceFinder(FakeFSCache(files), options) assert find_sources_in_dir(finder, "/") == [ ("a2", "/pkg"), ("a2.b.c.d.e", "/pkg"), ("a2.b.f", "/pkg"), ("e", "/pkg/a1/b/c/d"), ("f", "/pkg/a1/b"), ] def test_find_sources_in_dir_namespace_explicit_base(self) -> None: options = Options() options.namespace_packages = True options.explicit_package_bases = True options.mypy_path = ["/"] files = { "/pkg/a1/b/c/d/e.py", "/pkg/a1/b/f.py", "/pkg/a2/__init__.py", "/pkg/a2/b/c/d/e.py", "/pkg/a2/b/f.py", } finder = SourceFinder(FakeFSCache(files), options) assert find_sources_in_dir(finder, "/") == [ ("pkg.a1.b.c.d.e", "/"), ("pkg.a1.b.f", "/"), ("pkg.a2", "/"), ("pkg.a2.b.c.d.e", "/"), ("pkg.a2.b.f", "/"), ] options.mypy_path = ["/pkg"] finder = SourceFinder(FakeFSCache(files), options) assert find_sources_in_dir(finder, "/") == [ ("a1.b.c.d.e", "/pkg"), ("a1.b.f", "/pkg"), ("a2", "/pkg"), ("a2.b.c.d.e", "/pkg"), ("a2.b.f", "/pkg"), ] def test_find_sources_in_dir_namespace_multi_dir(self) -> None: options = Options() options.namespace_packages = True options.explicit_package_bases = True options.mypy_path = ["/a", "/b"] finder = SourceFinder(FakeFSCache({"/a/pkg/a.py", "/b/pkg/b.py"}), options) assert find_sources_in_dir(finder, "/") == [("pkg.a", "/a"), ("pkg.b", "/b")] def test_find_sources_exclude(self) -> None: options = Options() options.namespace_packages = True # default for excluded_dir in ["site-packages", ".whatever", "node_modules", ".x/.z"]: fscache = FakeFSCache({"/dir/a.py", f"/dir/venv/{excluded_dir}/b.py"}) assert find_sources(["/"], options, fscache) == [("a", "/dir")] with pytest.raises(InvalidSourceList): find_sources(["/dir/venv/"], options, fscache) assert find_sources([f"/dir/venv/{excluded_dir}"], options, fscache) == [ ("b", f"/dir/venv/{excluded_dir}") ] assert find_sources([f"/dir/venv/{excluded_dir}/b.py"], options, fscache) == [ ("b", f"/dir/venv/{excluded_dir}") ] files = { "/pkg/a1/b/c/d/e.py", "/pkg/a1/b/f.py", "/pkg/a2/__init__.py", "/pkg/a2/b/c/d/e.py", "/pkg/a2/b/f.py", } # file name options.exclude = [r"/f\.py$"] fscache = FakeFSCache(files) assert find_sources(["/"], options, fscache) == [ ("a2", "/pkg"), ("a2.b.c.d.e", "/pkg"), ("e", "/pkg/a1/b/c/d"), ] assert find_sources(["/pkg/a1/b/f.py"], options, fscache) == [("f", "/pkg/a1/b")] assert find_sources(["/pkg/a2/b/f.py"], options, fscache) == [("a2.b.f", "/pkg")] # directory name options.exclude = ["/a1/"] fscache = FakeFSCache(files) assert find_sources(["/"], options, fscache) == [ ("a2", "/pkg"), ("a2.b.c.d.e", "/pkg"), ("a2.b.f", "/pkg"), ] with pytest.raises(InvalidSourceList): find_sources(["/pkg/a1"], options, fscache) with pytest.raises(InvalidSourceList): find_sources(["/pkg/a1/"], options, fscache) with pytest.raises(InvalidSourceList): find_sources(["/pkg/a1/b"], options, fscache) options.exclude = ["/a1/$"] assert find_sources(["/pkg/a1"], options, fscache) == [ ("e", "/pkg/a1/b/c/d"), ("f", "/pkg/a1/b"), ] # paths options.exclude = ["/pkg/a1/"] fscache = FakeFSCache(files) assert find_sources(["/"], options, fscache) == [ ("a2", "/pkg"), ("a2.b.c.d.e", "/pkg"), ("a2.b.f", "/pkg"), ] with pytest.raises(InvalidSourceList): find_sources(["/pkg/a1"], options, fscache) # OR two patterns together for orred in [["/(a1|a3)/"], ["a1", "a3"], ["a3", "a1"]]: options.exclude = orred fscache = FakeFSCache(files) assert find_sources(["/"], options, fscache) == [ ("a2", "/pkg"), ("a2.b.c.d.e", "/pkg"), ("a2.b.f", "/pkg"), ] options.exclude = ["b/c/"] fscache = FakeFSCache(files) assert find_sources(["/"], options, fscache) == [ ("a2", "/pkg"), ("a2.b.f", "/pkg"), ("f", "/pkg/a1/b"), ] # nothing should be ignored as a result of this big_exclude1 = [ "/pkg/a/", "/2", "/1", "/pk/", "/kg", "/g.py", "/bc", "/xxx/pkg/a2/b/f.py", "xxx/pkg/a2/b/f.py", ] big_exclude2 = ["|".join(big_exclude1)] for big_exclude in [big_exclude1, big_exclude2]: options.exclude = big_exclude fscache = FakeFSCache(files) assert len(find_sources(["/"], options, fscache)) == len(files) files = { "pkg/a1/b/c/d/e.py", "pkg/a1/b/f.py", "pkg/a2/__init__.py", "pkg/a2/b/c/d/e.py", "pkg/a2/b/f.py", } fscache = FakeFSCache(files) assert len(find_sources(["."], options, fscache)) == len(files) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/test_ref_info.py0000644000175100017510000000263015112307767017435 0ustar00runnerrunner"""Test exporting line-level reference information (undocumented feature)""" from __future__ import annotations import json import os import sys from mypy import build from mypy.modulefinder import BuildSource from mypy.options import Options from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal class RefInfoSuite(DataSuite): required_out_section = True files = ["ref-info.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: options = Options() options.use_builtins_fixtures = True options.show_traceback = True options.export_ref_info = True # This is the flag we are testing src = "\n".join(testcase.input) result = build.build( sources=[BuildSource("main", None, src)], options=options, alt_lib_path=test_temp_dir ) assert not result.errors major, minor = sys.version_info[:2] ref_path = os.path.join(options.cache_dir, f"{major}.{minor}", "__main__.refs.json") with open(ref_path) as refs_file: data = json.load(refs_file) a = [] for item in data: a.append(f"{item['line']}:{item['column']}:{item['target']}") assert_string_arrays_equal( testcase.output, a, f"Invalid output ({testcase.file}, line {testcase.line})" ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testapi.py0000644000175100017510000000264715112307767016270 0ustar00runnerrunnerfrom __future__ import annotations import sys from io import StringIO import mypy.api from mypy.test.helpers import Suite class APISuite(Suite): def setUp(self) -> None: self.sys_stdout = sys.stdout self.sys_stderr = sys.stderr sys.stdout = self.stdout = StringIO() sys.stderr = self.stderr = StringIO() def tearDown(self) -> None: sys.stdout = self.sys_stdout sys.stderr = self.sys_stderr assert self.stdout.getvalue() == "" assert self.stderr.getvalue() == "" def test_capture_bad_opt(self) -> None: """stderr should be captured when a bad option is passed.""" _, stderr, _ = mypy.api.run(["--some-bad-option"]) assert isinstance(stderr, str) assert stderr != "" def test_capture_empty(self) -> None: """stderr should be captured when a bad option is passed.""" _, stderr, _ = mypy.api.run([]) assert isinstance(stderr, str) assert stderr != "" def test_capture_help(self) -> None: """stdout should be captured when --help is passed.""" stdout, _, _ = mypy.api.run(["--help"]) assert isinstance(stdout, str) assert stdout != "" def test_capture_version(self) -> None: """stdout should be captured when --version is passed.""" stdout, _, _ = mypy.api.run(["--version"]) assert isinstance(stdout, str) assert stdout != "" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testargs.py0000644000175100017510000000621515112307767016446 0ustar00runnerrunner"""Ensure the argparse parser and Options class are in sync. In particular, verify that the argparse defaults are the same as the Options defaults, and that argparse doesn't assign any new members to the Options object it creates. """ from __future__ import annotations import argparse import sys from mypy.main import infer_python_executable, process_options from mypy.options import Options from mypy.test.helpers import Suite, assert_equal class ArgSuite(Suite): def test_coherence(self) -> None: options = Options() _, parsed_options = process_options([], require_targets=False) # FIX: test this too. Requires changing working dir to avoid finding 'setup.cfg' options.config_file = parsed_options.config_file assert_equal(options.snapshot(), parsed_options.snapshot()) def test_executable_inference(self) -> None: """Test the --python-executable flag with --python-version""" sys_ver_str = "{ver.major}.{ver.minor}".format(ver=sys.version_info) base = ["file.py"] # dummy file # test inference given one (infer the other) matching_version = base + [f"--python-version={sys_ver_str}"] _, options = process_options(matching_version) assert options.python_version == sys.version_info[:2] assert options.python_executable == sys.executable matching_version = base + [f"--python-executable={sys.executable}"] _, options = process_options(matching_version) assert options.python_version == sys.version_info[:2] assert options.python_executable == sys.executable # test inference given both matching_version = base + [ f"--python-version={sys_ver_str}", f"--python-executable={sys.executable}", ] _, options = process_options(matching_version) assert options.python_version == sys.version_info[:2] assert options.python_executable == sys.executable # test that --no-site-packages will disable executable inference matching_version = base + [f"--python-version={sys_ver_str}", "--no-site-packages"] _, options = process_options(matching_version) assert options.python_version == sys.version_info[:2] assert options.python_executable is None # Test setting python_version/executable from config file special_opts = argparse.Namespace() special_opts.python_executable = None special_opts.python_version = None special_opts.no_executable = None # first test inferring executable from version options = Options() options.python_executable = None options.python_version = sys.version_info[:2] infer_python_executable(options, special_opts) assert options.python_version == sys.version_info[:2] assert options.python_executable == sys.executable # then test inferring version from executable options = Options() options.python_executable = sys.executable infer_python_executable(options, special_opts) assert options.python_version == sys.version_info[:2] assert options.python_executable == sys.executable ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testcheck.py0000644000175100017510000003157415112307767016575 0ustar00runnerrunner"""Type checker test cases""" from __future__ import annotations import os import re import sys import tempfile from pathlib import Path from mypy import build from mypy.errors import CompileError from mypy.modulefinder import BuildSource, FindModuleCache, SearchPaths from mypy.test.config import test_data_prefix, test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite, FileOperation, module_from_path from mypy.test.helpers import ( assert_module_equivalence, assert_string_arrays_equal, assert_target_equivalence, check_test_output_files, find_test_files, normalize_error_messages, parse_options, perform_file_operations, ) from mypy.test.update_data import update_testcase_output try: import lxml # type: ignore[import-untyped] except ImportError: lxml = None import pytest # List of files that contain test case descriptions. # Includes all check-* files with the .test extension in the test-data/unit directory typecheck_files = find_test_files(pattern="check-*.test") # Tests that use Python version specific features: if sys.version_info < (3, 10): typecheck_files.remove("check-python310.test") if sys.version_info < (3, 11): typecheck_files.remove("check-python311.test") if sys.version_info < (3, 12): typecheck_files.remove("check-python312.test") if sys.version_info < (3, 13): typecheck_files.remove("check-python313.test") if sys.version_info < (3, 14): typecheck_files.remove("check-python314.test") class TypeCheckSuite(DataSuite): files = typecheck_files def run_case(self, testcase: DataDrivenTestCase) -> None: if os.path.basename(testcase.file) == "check-modules-case.test": with tempfile.NamedTemporaryFile(prefix="test", dir=".") as temp_file: temp_path = Path(temp_file.name) if not temp_path.with_name(temp_path.name.upper()).exists(): pytest.skip("File system is not case‐insensitive") if lxml is None and os.path.basename(testcase.file) == "check-reports.test": pytest.skip("Cannot import lxml. Is it installed?") incremental = ( "incremental" in testcase.name.lower() or "incremental" in testcase.file or "serialize" in testcase.file ) if incremental: # Incremental tests are run once with a cold cache, once with a warm cache. # Expect success on first run, errors from testcase.output (if any) on second run. num_steps = max([2] + list(testcase.output2.keys())) # Check that there are no file changes beyond the last run (they would be ignored). for dn, dirs, files in os.walk(os.curdir): for file in files: m = re.search(r"\.([2-9])$", file) if m and int(m.group(1)) > num_steps: raise ValueError( "Output file {} exists though test case only has {} runs".format( file, num_steps ) ) steps = testcase.find_steps() for step in range(1, num_steps + 1): idx = step - 2 ops = steps[idx] if idx < len(steps) and idx >= 0 else [] self.run_case_once(testcase, ops, step) else: self.run_case_once(testcase) def _sort_output_if_needed(self, testcase: DataDrivenTestCase, a: list[str]) -> None: idx = testcase.output_inline_start if not testcase.files or idx == len(testcase.output): return def _filename(_msg: str) -> str: return _msg.partition(":")[0] file_weights = {file: idx for idx, file in enumerate(_filename(msg) for msg in a)} testcase.output[idx:] = sorted( testcase.output[idx:], key=lambda msg: file_weights.get(_filename(msg), -1) ) def run_case_once( self, testcase: DataDrivenTestCase, operations: list[FileOperation] | None = None, incremental_step: int = 0, ) -> None: if operations is None: operations = [] original_program_text = "\n".join(testcase.input) module_data = self.parse_module(original_program_text, incremental_step) # Unload already loaded plugins, they may be updated. for file, _ in testcase.files: module = module_from_path(file) if module.endswith("_plugin") and module in sys.modules: del sys.modules[module] if incremental_step == 0 or incremental_step == 1: # In run 1, copy program text to program file. for module_name, program_path, program_text in module_data: if module_name == "__main__": with open(program_path, "w", encoding="utf8") as f: f.write(program_text) break elif incremental_step > 1: # In runs 2+, copy *.[num] files to * files. perform_file_operations(operations) # Parse options after moving files (in case mypy.ini is being moved). options = parse_options(original_program_text, testcase, incremental_step) options.use_builtins_fixtures = True options.show_traceback = True # Enable some options automatically based on test file name. if "columns" in testcase.file: options.show_column_numbers = True if "errorcodes" in testcase.file: options.hide_error_codes = False if "abstract" not in testcase.file: options.allow_empty_bodies = not testcase.name.endswith("_no_empty") if "union-error" not in testcase.file and "Pep604" not in testcase.name: options.force_union_syntax = True if incremental_step and options.incremental: # Don't overwrite # flags: --no-incremental in incremental test cases options.incremental = True else: options.incremental = False # Don't waste time writing cache unless we are specifically looking for it if not testcase.writescache: options.cache_dir = os.devnull sources = [] for module_name, program_path, program_text in module_data: # Always set to none so we're forced to reread the module in incremental mode sources.append( BuildSource(program_path, module_name, None if incremental_step else program_text) ) plugin_dir = os.path.join(test_data_prefix, "plugins") sys.path.insert(0, plugin_dir) res = None blocker = False try: res = build.build(sources=sources, options=options, alt_lib_path=test_temp_dir) a = res.errors except CompileError as e: a = e.messages blocker = True finally: assert sys.path[0] == plugin_dir del sys.path[0] if testcase.normalize_output: a = normalize_error_messages(a) # Make sure error messages match if incremental_step < 2: if incremental_step == 1: msg = "Unexpected type checker output in incremental, run 1 ({}, line {})" else: assert incremental_step == 0 msg = "Unexpected type checker output ({}, line {})" self._sort_output_if_needed(testcase, a) output = testcase.output else: msg = ( f"Unexpected type checker output in incremental, run {incremental_step}" + " ({}, line {})" ) output = testcase.output2.get(incremental_step, []) if output != a and testcase.config.getoption("--update-data", False): update_testcase_output(testcase, a, incremental_step=incremental_step) assert_string_arrays_equal(output, a, msg.format(testcase.file, testcase.line)) if res: if options.cache_dir != os.devnull: self.verify_cache(module_data, res.manager, blocker, incremental_step) name = "targets" if incremental_step: name += str(incremental_step + 1) expected = testcase.expected_fine_grained_targets.get(incremental_step + 1) actual = [ target for module, target in res.manager.processed_targets if module in testcase.test_modules ] if expected is not None: assert_target_equivalence(name, expected, actual) if incremental_step > 1: suffix = "" if incremental_step == 2 else str(incremental_step - 1) expected_rechecked = testcase.expected_rechecked_modules.get(incremental_step - 1) if expected_rechecked is not None: assert_module_equivalence( "rechecked" + suffix, expected_rechecked, res.manager.rechecked_modules ) expected_stale = testcase.expected_stale_modules.get(incremental_step - 1) if expected_stale is not None: assert_module_equivalence( "stale" + suffix, expected_stale, res.manager.stale_modules ) if testcase.output_files: check_test_output_files(testcase, incremental_step, strip_prefix="tmp/") def verify_cache( self, module_data: list[tuple[str, str, str]], manager: build.BuildManager, blocker: bool, step: int, ) -> None: if not blocker: # There should be valid cache metadata for each module except # in case of a blocking error in themselves or one of their # dependencies. modules = self.find_module_files(manager) modules.update({module_name: path for module_name, path, text in module_data}) missing_paths = self.find_missing_cache_files(modules, manager) if missing_paths: raise AssertionError(f"cache data missing for {missing_paths} on run {step}") assert os.path.isfile(os.path.join(manager.options.cache_dir, ".gitignore")) cachedir_tag = os.path.join(manager.options.cache_dir, "CACHEDIR.TAG") assert os.path.isfile(cachedir_tag) with open(cachedir_tag) as f: assert f.read().startswith("Signature: 8a477f597d28d172789f06886806bc55") def find_module_files(self, manager: build.BuildManager) -> dict[str, str]: return {id: module.path for id, module in manager.modules.items()} def find_missing_cache_files( self, modules: dict[str, str], manager: build.BuildManager ) -> set[str]: ignore_errors = True missing = {} for id, path in modules.items(): meta = build.find_cache_meta(id, path, manager) if not build.validate_meta(meta, id, path, ignore_errors, manager): missing[id] = path return set(missing.values()) def parse_module( self, program_text: str, incremental_step: int = 0 ) -> list[tuple[str, str, str]]: """Return the module and program names for a test case. Normally, the unit tests will parse the default ('__main__') module and follow all the imports listed there. You can override this behavior and instruct the tests to check multiple modules by using a comment like this in the test case input: # cmd: mypy -m foo.bar foo.baz You can also use `# cmdN:` to have a different cmd for incremental step N (2, 3, ...). Return a list of tuples (module name, file name, program text). """ m = re.search("# cmd: mypy -m ([a-zA-Z0-9_. ]+)$", program_text, flags=re.MULTILINE) if incremental_step > 1: alt_regex = f"# cmd{incremental_step}: mypy -m ([a-zA-Z0-9_. ]+)$" alt_m = re.search(alt_regex, program_text, flags=re.MULTILINE) if alt_m is not None: # Optionally return a different command if in a later step # of incremental mode, otherwise default to reusing the # original cmd. m = alt_m if m: # The test case wants to use a non-default main # module. Look up the module and give it as the thing to # analyze. module_names = m.group(1) out = [] search_paths = SearchPaths((test_temp_dir,), (), (), ()) cache = FindModuleCache(search_paths, fscache=None, options=None) for module_name in module_names.split(" "): path = cache.find_module(module_name) assert isinstance(path, str), f"Can't find ad hoc case file: {module_name}" with open(path, encoding="utf8") as f: program_text = f.read() out.append((module_name, path, program_text)) return out else: return [("__main__", "main", program_text)] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testcmdline.py0000644000175100017510000001156415112307767017130 0ustar00runnerrunner"""Test cases for the command line. To begin we test that "mypy [/]" always recurses down the whole tree. """ from __future__ import annotations import os import re import subprocess import sys from mypy.test.config import PREFIX, test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import ( assert_string_arrays_equal, check_test_output_files, normalize_error_messages, ) try: import lxml # type: ignore[import-untyped] except ImportError: lxml = None import pytest # Path to Python 3 interpreter python3_path = sys.executable # Files containing test case descriptions. cmdline_files = ["cmdline.test", "cmdline.pyproject.test", "reports.test", "envvars.test"] class PythonCmdlineSuite(DataSuite): files = cmdline_files native_sep = True def run_case(self, testcase: DataDrivenTestCase) -> None: if lxml is None and os.path.basename(testcase.file) == "reports.test": pytest.skip("Cannot import lxml. Is it installed?") for step in [1] + sorted(testcase.output2): test_python_cmdline(testcase, step) def test_python_cmdline(testcase: DataDrivenTestCase, step: int) -> None: assert testcase.old_cwd is not None, "test was not properly set up" # Write the program to a file. program = "_program.py" program_path = os.path.join(test_temp_dir, program) with open(program_path, "w", encoding="utf8") as file: for s in testcase.input: file.write(f"{s}\n") args = parse_args(testcase.input[0]) custom_cwd = parse_cwd(testcase.input[1]) if len(testcase.input) > 1 else None args.append("--show-traceback") if "--error-summary" not in args: args.append("--no-error-summary") if "--show-error-codes" not in args: args.append("--hide-error-codes") if "--disallow-empty-bodies" not in args: args.append("--allow-empty-bodies") if "--no-force-union-syntax" not in args: args.append("--force-union-syntax") # Type check the program. fixed = [python3_path, "-m", "mypy"] env = os.environ.copy() env.pop("COLUMNS", None) extra_path = os.path.join(os.path.abspath(test_temp_dir), "pypath") env["PYTHONPATH"] = PREFIX if os.path.isdir(extra_path): env["PYTHONPATH"] += os.pathsep + extra_path cwd = os.path.join(test_temp_dir, custom_cwd or "") args = [arg.replace("$CWD", os.path.abspath(cwd)) for arg in args] process = subprocess.Popen( fixed + args, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd, env=env ) outb, errb = process.communicate() result = process.returncode # Split output into lines. out = [s.rstrip("\n\r") for s in str(outb, "utf8").splitlines()] err = [s.rstrip("\n\r") for s in str(errb, "utf8").splitlines()] if "PYCHARM_HOSTED" in os.environ: for pos, line in enumerate(err): if line.startswith("pydev debugger: "): # Delete the attaching debugger message itself, plus the extra newline added. del err[pos : pos + 2] break # Remove temp file. os.remove(program_path) # Compare actual output to expected. if testcase.output_files: # Ignore stdout, but we insist on empty stderr and zero status. if err or result: raise AssertionError( "Expected zero status and empty stderr%s, got %d and\n%s" % (" on step %d" % step if testcase.output2 else "", result, "\n".join(err + out)) ) check_test_output_files(testcase, step) else: if testcase.normalize_output: out = normalize_error_messages(err + out) obvious_result = 1 if out else 0 if obvious_result != result: out.append(f"== Return code: {result}") expected_out = testcase.output if step == 1 else testcase.output2[step] # Strip "tmp/" out of the test so that # E: works... expected_out = [s.replace("tmp" + os.sep, "") for s in expected_out] assert_string_arrays_equal( expected_out, out, "Invalid output ({}, line {}){}".format( testcase.file, testcase.line, " on step %d" % step if testcase.output2 else "" ), ) def parse_args(line: str) -> list[str]: """Parse the first line of the program for the command line. This should have the form # cmd: mypy For example: # cmd: mypy pkg/ """ m = re.match("# cmd: mypy (.*)$", line) if not m: return [] # No args; mypy will spit out an error. return m.group(1).split() def parse_cwd(line: str) -> str | None: """Parse the second line of the program for the command line. This should have the form # cwd: For example: # cwd: main/subdir """ m = re.match("# cwd: (.*)$", line) return m.group(1) if m else None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testconstraints.py0000644000175100017510000001222315112307767020055 0ustar00runnerrunnerfrom __future__ import annotations from mypy.constraints import SUBTYPE_OF, SUPERTYPE_OF, Constraint, infer_constraints from mypy.test.helpers import Suite from mypy.test.typefixture import TypeFixture from mypy.types import Instance, TupleType, UnpackType class ConstraintsSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture() def test_no_type_variables(self) -> None: assert not infer_constraints(self.fx.o, self.fx.o, SUBTYPE_OF) def test_basic_type_variable(self) -> None: fx = self.fx for direction in [SUBTYPE_OF, SUPERTYPE_OF]: assert infer_constraints(fx.gt, fx.ga, direction) == [ Constraint(type_var=fx.t, op=direction, target=fx.a) ] def test_basic_type_var_tuple_subtype(self) -> None: fx = self.fx assert infer_constraints( Instance(fx.gvi, [UnpackType(fx.ts)]), Instance(fx.gvi, [fx.a, fx.b]), SUBTYPE_OF ) == [ Constraint(type_var=fx.ts, op=SUBTYPE_OF, target=TupleType([fx.a, fx.b], fx.std_tuple)) ] def test_basic_type_var_tuple(self) -> None: fx = self.fx assert set( infer_constraints( Instance(fx.gvi, [UnpackType(fx.ts)]), Instance(fx.gvi, [fx.a, fx.b]), SUPERTYPE_OF ) ) == { Constraint( type_var=fx.ts, op=SUPERTYPE_OF, target=TupleType([fx.a, fx.b], fx.std_tuple) ), Constraint( type_var=fx.ts, op=SUBTYPE_OF, target=TupleType([fx.a, fx.b], fx.std_tuple) ), } def test_type_var_tuple_with_prefix_and_suffix(self) -> None: fx = self.fx assert set( infer_constraints( Instance(fx.gv2i, [fx.t, UnpackType(fx.ts), fx.s]), Instance(fx.gv2i, [fx.a, fx.b, fx.c, fx.d]), SUPERTYPE_OF, ) ) == { Constraint(type_var=fx.t, op=SUPERTYPE_OF, target=fx.a), Constraint( type_var=fx.ts, op=SUPERTYPE_OF, target=TupleType([fx.b, fx.c], fx.std_tuple) ), Constraint( type_var=fx.ts, op=SUBTYPE_OF, target=TupleType([fx.b, fx.c], fx.std_tuple) ), Constraint(type_var=fx.s, op=SUPERTYPE_OF, target=fx.d), } def test_unpack_homogeneous_tuple(self) -> None: fx = self.fx assert set( infer_constraints( Instance(fx.gvi, [UnpackType(Instance(fx.std_tuplei, [fx.t]))]), Instance(fx.gvi, [fx.a, fx.b]), SUPERTYPE_OF, ) ) == { Constraint(type_var=fx.t, op=SUPERTYPE_OF, target=fx.a), Constraint(type_var=fx.t, op=SUBTYPE_OF, target=fx.a), Constraint(type_var=fx.t, op=SUPERTYPE_OF, target=fx.b), Constraint(type_var=fx.t, op=SUBTYPE_OF, target=fx.b), } def test_unpack_homogeneous_tuple_with_prefix_and_suffix(self) -> None: fx = self.fx assert set( infer_constraints( Instance(fx.gv2i, [fx.t, UnpackType(Instance(fx.std_tuplei, [fx.s])), fx.u]), Instance(fx.gv2i, [fx.a, fx.b, fx.c, fx.d]), SUPERTYPE_OF, ) ) == { Constraint(type_var=fx.t, op=SUPERTYPE_OF, target=fx.a), Constraint(type_var=fx.s, op=SUPERTYPE_OF, target=fx.b), Constraint(type_var=fx.s, op=SUBTYPE_OF, target=fx.b), Constraint(type_var=fx.s, op=SUPERTYPE_OF, target=fx.c), Constraint(type_var=fx.s, op=SUBTYPE_OF, target=fx.c), Constraint(type_var=fx.u, op=SUPERTYPE_OF, target=fx.d), } def test_unpack_with_prefix_and_suffix(self) -> None: fx = self.fx assert set( infer_constraints( Instance(fx.gv2i, [fx.u, fx.t, fx.s, fx.u]), Instance(fx.gv2i, [fx.a, fx.b, fx.c, fx.d]), SUPERTYPE_OF, ) ) == { Constraint(type_var=fx.u, op=SUPERTYPE_OF, target=fx.a), Constraint(type_var=fx.t, op=SUPERTYPE_OF, target=fx.b), Constraint(type_var=fx.t, op=SUBTYPE_OF, target=fx.b), Constraint(type_var=fx.s, op=SUPERTYPE_OF, target=fx.c), Constraint(type_var=fx.s, op=SUBTYPE_OF, target=fx.c), Constraint(type_var=fx.u, op=SUPERTYPE_OF, target=fx.d), } def test_unpack_tuple_length_non_match(self) -> None: fx = self.fx assert set( infer_constraints( Instance(fx.gv2i, [fx.u, fx.t, fx.s, fx.u]), Instance(fx.gv2i, [fx.a, fx.b, fx.d]), SUPERTYPE_OF, ) # We still get constraints on the prefix/suffix in this case. ) == { Constraint(type_var=fx.u, op=SUPERTYPE_OF, target=fx.a), Constraint(type_var=fx.u, op=SUPERTYPE_OF, target=fx.d), } def test_var_length_tuple_with_fixed_length_tuple(self) -> None: fx = self.fx assert not infer_constraints( TupleType([fx.t, fx.s], fallback=Instance(fx.std_tuplei, [fx.o])), Instance(fx.std_tuplei, [fx.a]), SUPERTYPE_OF, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testdaemon.py0000644000175100017510000001063715112307767016760 0ustar00runnerrunner"""End-to-end test cases for the daemon (dmypy). These are special because they run multiple shell commands. This also includes some unit tests. """ from __future__ import annotations import os import subprocess import sys import tempfile import unittest from mypy.dmypy_server import filter_out_missing_top_level_packages from mypy.fscache import FileSystemCache from mypy.modulefinder import SearchPaths from mypy.test.config import PREFIX, test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal, normalize_error_messages # Files containing test cases descriptions. daemon_files = ["daemon.test"] class DaemonSuite(DataSuite): files = daemon_files def run_case(self, testcase: DataDrivenTestCase) -> None: try: test_daemon(testcase) finally: # Kill the daemon if it's still running. run_cmd("dmypy kill") def test_daemon(testcase: DataDrivenTestCase) -> None: assert testcase.old_cwd is not None, "test was not properly set up" for i, step in enumerate(parse_script(testcase.input)): cmd = step[0] expected_lines = step[1:] assert cmd.startswith("$") cmd = cmd[1:].strip() cmd = cmd.replace("{python}", sys.executable) sts, output = run_cmd(cmd) output_lines = output.splitlines() output_lines = normalize_error_messages(output_lines) if sts: output_lines.append("== Return code: %d" % sts) assert_string_arrays_equal( expected_lines, output_lines, "Command %d (%s) did not give expected output" % (i + 1, cmd), ) def parse_script(input: list[str]) -> list[list[str]]: """Parse testcase.input into steps. Each command starts with a line starting with '$'. The first line (less '$') is sent to the shell. The remaining lines are expected output. """ steps = [] step: list[str] = [] for line in input: if line.startswith("$"): if step: assert step[0].startswith("$") steps.append(step) step = [] step.append(line) if step: steps.append(step) return steps def run_cmd(input: str) -> tuple[int, str]: if input[1:].startswith("mypy run --") and "--show-error-codes" not in input: input += " --hide-error-codes" if input.startswith("dmypy "): input = sys.executable + " -m mypy." + input if input.startswith("mypy "): input = sys.executable + " -m" + input env = os.environ.copy() env["PYTHONPATH"] = PREFIX try: output = subprocess.check_output( input, shell=True, stderr=subprocess.STDOUT, text=True, cwd=test_temp_dir, env=env ) return 0, output except subprocess.CalledProcessError as err: return err.returncode, err.output class DaemonUtilitySuite(unittest.TestCase): """Unit tests for helpers""" def test_filter_out_missing_top_level_packages(self) -> None: with tempfile.TemporaryDirectory() as td: self.make_file(td, "base/a/") self.make_file(td, "base/b.py") self.make_file(td, "base/c.pyi") self.make_file(td, "base/missing.txt") self.make_file(td, "typeshed/d.pyi") self.make_file(td, "typeshed/@python2/e") # outdated self.make_file(td, "pkg1/f-stubs") self.make_file(td, "pkg2/g-python2-stubs") # outdated self.make_file(td, "mpath/sub/long_name/") def makepath(p: str) -> str: return os.path.join(td, p) search = SearchPaths( python_path=(makepath("base"),), mypy_path=(makepath("mpath/sub"),), package_path=(makepath("pkg1"), makepath("pkg2")), typeshed_path=(makepath("typeshed"),), ) fscache = FileSystemCache() res = filter_out_missing_top_level_packages( {"a", "b", "c", "d", "e", "f", "g", "long_name", "ff", "missing"}, search, fscache ) assert res == {"a", "b", "c", "d", "f", "long_name"} def make_file(self, base: str, path: str) -> None: fullpath = os.path.join(base, path) os.makedirs(os.path.dirname(fullpath), exist_ok=True) if not path.endswith("/"): with open(fullpath, "w") as f: f.write("# test file") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testdeps.py0000644000175100017510000000624415112307767016447 0ustar00runnerrunner"""Test cases for generating node-level dependencies (for fine-grained incremental checking)""" from __future__ import annotations import os import sys from collections import defaultdict import pytest from mypy import build from mypy.errors import CompileError from mypy.modulefinder import BuildSource from mypy.nodes import Expression, MypyFile from mypy.options import Options from mypy.server.deps import get_dependencies from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal, find_test_files, parse_options from mypy.types import Type from mypy.typestate import type_state # Only dependencies in these modules are dumped dumped_modules = ["__main__", "pkg", "pkg.mod"] class GetDependenciesSuite(DataSuite): files = find_test_files(pattern="deps*.test") def run_case(self, testcase: DataDrivenTestCase) -> None: src = "\n".join(testcase.input) dump_all = "# __dump_all__" in src options = parse_options(src, testcase, incremental_step=1) if options.python_version > sys.version_info: pytest.skip("Test case requires a newer Python version") options.use_builtins_fixtures = True options.show_traceback = True options.cache_dir = os.devnull options.export_types = True options.preserve_asts = True options.allow_empty_bodies = True messages, files, type_map = self.build(src, options) a = messages if files is None or type_map is None: if not a: a = ["Unknown compile error (likely syntax error in test case or fixture)"] else: deps: defaultdict[str, set[str]] = defaultdict(set) for module, file in files.items(): if (module in dumped_modules or dump_all) and (module in testcase.test_modules): new_deps = get_dependencies(file, type_map, options.python_version, options) for source in new_deps: deps[source].update(new_deps[source]) type_state.add_all_protocol_deps(deps) for source, targets in sorted(deps.items()): if source.startswith((" {', '.join(sorted(targets))}" # Clean up output a bit line = line.replace("__main__", "m") a.append(line) assert_string_arrays_equal( testcase.output, a, f"Invalid output ({testcase.file}, line {testcase.line})" ) def build( self, source: str, options: Options ) -> tuple[list[str], dict[str, MypyFile] | None, dict[Expression, Type] | None]: try: result = build.build( sources=[BuildSource("main", None, source)], options=options, alt_lib_path=test_temp_dir, ) except CompileError as e: # TODO: Should perhaps not return None here. return e.messages, None, None return result.errors, result.files, result.types ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testdiff.py0000644000175100017510000000471615112307767016426 0ustar00runnerrunner"""Test cases for AST diff (used for fine-grained incremental checking)""" from __future__ import annotations import os import sys import pytest from mypy import build from mypy.errors import CompileError from mypy.modulefinder import BuildSource from mypy.nodes import MypyFile from mypy.options import Options from mypy.server.astdiff import compare_symbol_table_snapshots, snapshot_symbol_table from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal, parse_options class ASTDiffSuite(DataSuite): files = ["diff.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: first_src = "\n".join(testcase.input) files_dict = dict(testcase.files) second_src = files_dict["tmp/next.py"] options = parse_options(first_src, testcase, 1) if options.python_version > sys.version_info: pytest.skip("Test case requires a newer Python version") messages1, files1 = self.build(first_src, options) messages2, files2 = self.build(second_src, options) a = [] if messages1: a.extend(messages1) if messages2: a.append("== next ==") a.extend(messages2) assert ( files1 is not None and files2 is not None ), "cases where CompileError occurred should not be run" prefix = "__main__" snapshot1 = snapshot_symbol_table(prefix, files1["__main__"].names) snapshot2 = snapshot_symbol_table(prefix, files2["__main__"].names) diff = compare_symbol_table_snapshots(prefix, snapshot1, snapshot2) for trigger in sorted(diff): a.append(trigger) assert_string_arrays_equal( testcase.output, a, f"Invalid output ({testcase.file}, line {testcase.line})" ) def build(self, source: str, options: Options) -> tuple[list[str], dict[str, MypyFile] | None]: options.use_builtins_fixtures = True options.show_traceback = True options.cache_dir = os.devnull options.allow_empty_bodies = True try: result = build.build( sources=[BuildSource("main", None, source)], options=options, alt_lib_path=test_temp_dir, ) except CompileError as e: # TODO: Is it okay to return None? return e.messages, None return result.errors, result.files ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testerrorstream.py0000644000175100017510000000264115112307767020056 0ustar00runnerrunner"""Tests for mypy incremental error output.""" from __future__ import annotations from mypy import build from mypy.errors import CompileError from mypy.modulefinder import BuildSource from mypy.options import Options from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal class ErrorStreamSuite(DataSuite): required_out_section = True base_path = "." files = ["errorstream.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: test_error_stream(testcase) def test_error_stream(testcase: DataDrivenTestCase) -> None: """Perform a single error streaming test case. The argument contains the description of the test case. """ options = Options() options.show_traceback = True options.hide_error_codes = True logged_messages: list[str] = [] def flush_errors(filename: str | None, msgs: list[str], serious: bool) -> None: if msgs: logged_messages.append("==== Errors flushed ====") logged_messages.extend(msgs) sources = [BuildSource("main", "__main__", "\n".join(testcase.input))] try: build.build(sources=sources, options=options, flush_errors=flush_errors) except CompileError as e: assert e.messages == [] assert_string_arrays_equal( testcase.output, logged_messages, f"Invalid output ({testcase.file}, line {testcase.line})" ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testexportjson.py0000644000175100017510000000501615112307767017723 0ustar00runnerrunner"""Test cases for the mypy cache JSON export tool.""" from __future__ import annotations import json import os import re import sys from mypy import build from mypy.errors import CompileError from mypy.exportjson import convert_binary_cache_to_json from mypy.modulefinder import BuildSource from mypy.options import Options from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal class TypeExportSuite(DataSuite): required_out_section = True files = ["exportjson.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: error = False src = "\n".join(testcase.input) try: options = Options() options.use_builtins_fixtures = True options.show_traceback = True options.allow_empty_bodies = True options.fixed_format_cache = True fnam = os.path.join(self.base_path, "main.py") with open(fnam, "w") as f: f.write(src) result = build.build( sources=[BuildSource(fnam, "main")], options=options, alt_lib_path=test_temp_dir ) a = result.errors error = bool(a) major, minor = sys.version_info[:2] cache_dir = os.path.join(".mypy_cache", f"{major}.{minor}") for module in result.files: if module in ( "builtins", "typing", "_typeshed", "__future__", "typing_extensions", "sys", ): continue fnam = os.path.join(cache_dir, f"{module}.data.ff") with open(fnam, "rb") as f: json_data = convert_binary_cache_to_json(f.read(), implicit_names=False) for line in json.dumps(json_data, indent=4).splitlines(): if '"path": ' in line: # We source file path is unpredictable, so filter it out line = re.sub(r'"[^"]+\.pyi?"', "...", line) assert "ERROR" not in line, line a.append(line) except CompileError as e: a = e.messages error = True if error or "\n".join(testcase.output).strip() != "": assert_string_arrays_equal( testcase.output, a, f"Invalid output ({testcase.file}, line {testcase.line})" ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testfinegrained.py0000644000175100017510000004256015112307767017770 0ustar00runnerrunner"""Test cases for fine-grained incremental checking. Each test cases runs a batch build followed by one or more fine-grained incremental steps. We verify that each step produces the expected output. See the comment at the top of test-data/unit/fine-grained.test for more information. N.B.: Unlike most of the other test suites, testfinegrained does not rely on an alt_lib_path for finding source files. This means that they can test interactions with the lib_path that is built implicitly based on specified sources. """ from __future__ import annotations import os import re import sys import unittest from typing import Any import pytest from mypy import build from mypy.config_parser import parse_config_file from mypy.dmypy_server import Server from mypy.dmypy_util import DEFAULT_STATUS_FILE from mypy.errors import CompileError from mypy.find_sources import create_source_list from mypy.modulefinder import BuildSource from mypy.options import Options from mypy.server.mergecheck import check_consistency from mypy.server.update import sort_messages_preserving_file_order from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite, DeleteFile, UpdateFile from mypy.test.helpers import ( assert_module_equivalence, assert_string_arrays_equal, assert_target_equivalence, find_test_files, parse_options, perform_file_operations, ) # Set to True to perform (somewhat expensive) checks for duplicate AST nodes after merge CHECK_CONSISTENCY = False class FineGrainedSuite(DataSuite): files = find_test_files( pattern="fine-grained*.test", exclude=["fine-grained-cache-incremental.test"] ) # Whether to use the fine-grained cache in the testing. This is overridden # by a trivial subclass to produce a suite that uses the cache. use_cache = False def should_skip(self, testcase: DataDrivenTestCase) -> bool: # Decide whether to skip the test. This could have been structured # as a filter() classmethod also, but we want the tests reported # as skipped, not just elided. if self.use_cache: if testcase.only_when == "-only_when_nocache": return True # TODO: In caching mode we currently don't well support # starting from cached states with errors in them. if testcase.output and testcase.output[0] != "==": return True else: if testcase.only_when == "-only_when_cache": return True return False def run_case(self, testcase: DataDrivenTestCase) -> None: if self.should_skip(testcase): pytest.skip() main_src = "\n".join(testcase.input) main_path = os.path.join(test_temp_dir, "main") with open(main_path, "w", encoding="utf8") as f: f.write(main_src) options = self.get_options(main_src, testcase, build_cache=False) if options.python_version > sys.version_info: pytest.skip("Test case requires a newer Python version") build_options = self.get_options(main_src, testcase, build_cache=True) server = Server(options, DEFAULT_STATUS_FILE) num_regular_incremental_steps = self.get_build_steps(main_src) step = 1 sources = self.parse_sources(main_src, step, options) if step <= num_regular_incremental_steps: messages = self.build(build_options, sources) else: messages = self.run_check(server, sources) a = [] if messages: a.extend(normalize_messages(messages)) assert testcase.tmpdir is not None a.extend(self.maybe_suggest(step, server, main_src, testcase.tmpdir)) a.extend(self.maybe_inspect(step, server, main_src)) if server.fine_grained_manager: if CHECK_CONSISTENCY: check_consistency(server.fine_grained_manager) steps = testcase.find_steps() all_triggered = [] for operations in steps: step += 1 output, triggered = self.perform_step( operations, server, options, build_options, testcase, main_src, step, num_regular_incremental_steps, ) a.append("==") a.extend(output) all_triggered.extend(triggered) # Normalize paths in test output (for Windows). a = [line.replace("\\", "/") for line in a] assert_string_arrays_equal( testcase.output, a, f"Invalid output ({testcase.file}, line {testcase.line})" ) if testcase.triggered: assert_string_arrays_equal( testcase.triggered, self.format_triggered(all_triggered), f"Invalid active triggers ({testcase.file}, line {testcase.line})", ) def get_options(self, source: str, testcase: DataDrivenTestCase, build_cache: bool) -> Options: # This handles things like '# flags: --foo'. options = parse_options(source, testcase, incremental_step=1) options.incremental = True options.use_builtins_fixtures = True options.show_traceback = True options.error_summary = False options.fine_grained_incremental = not build_cache options.use_fine_grained_cache = self.use_cache and not build_cache options.cache_fine_grained = self.use_cache options.local_partial_types = True options.export_types = "inspect" in testcase.file # Treat empty bodies safely for these test cases. options.allow_empty_bodies = not testcase.name.endswith("_no_empty") if re.search("flags:.*--follow-imports", source) is None: # Override the default for follow_imports options.follow_imports = "error" for name, _ in testcase.files: if "mypy.ini" in name or "pyproject.toml" in name: parse_config_file(options, lambda: None, name) break return options def run_check(self, server: Server, sources: list[BuildSource]) -> list[str]: response = server.check(sources, export_types=False, is_tty=False, terminal_width=-1) out = response["out"] or response["err"] assert isinstance(out, str) return out.splitlines() def build(self, options: Options, sources: list[BuildSource]) -> list[str]: try: result = build.build(sources=sources, options=options) except CompileError as e: return e.messages return result.errors def format_triggered(self, triggered: list[list[str]]) -> list[str]: result = [] for n, triggers in enumerate(triggered): filtered = [trigger for trigger in triggers if not trigger.endswith("__>")] filtered = sorted(filtered) result.append(("%d: %s" % (n + 2, ", ".join(filtered))).strip()) return result def get_build_steps(self, program_text: str) -> int: """Get the number of regular incremental steps to run, from the test source""" if not self.use_cache: return 0 m = re.search("# num_build_steps: ([0-9]+)$", program_text, flags=re.MULTILINE) if m is not None: return int(m.group(1)) return 1 def perform_step( self, operations: list[UpdateFile | DeleteFile], server: Server, options: Options, build_options: Options, testcase: DataDrivenTestCase, main_src: str, step: int, num_regular_incremental_steps: int, ) -> tuple[list[str], list[list[str]]]: """Perform one fine-grained incremental build step (after some file updates/deletions). Return (mypy output, triggered targets). """ perform_file_operations(operations) sources = self.parse_sources(main_src, step, options) if step <= num_regular_incremental_steps: new_messages = self.build(build_options, sources) else: new_messages = self.run_check(server, sources) updated: list[str] = [] changed: list[str] = [] targets: list[str] = [] triggered = [] if server.fine_grained_manager: if CHECK_CONSISTENCY: check_consistency(server.fine_grained_manager) triggered.append(server.fine_grained_manager.triggered) updated = server.fine_grained_manager.updated_modules changed = [mod for mod, file in server.fine_grained_manager.changed_modules] targets = server.fine_grained_manager.processed_targets expected_stale = testcase.expected_stale_modules.get(step - 1) if expected_stale is not None: assert_module_equivalence("stale" + str(step - 1), expected_stale, changed) expected_rechecked = testcase.expected_rechecked_modules.get(step - 1) if expected_rechecked is not None: assert_module_equivalence("rechecked" + str(step - 1), expected_rechecked, updated) expected = testcase.expected_fine_grained_targets.get(step) if expected: assert_target_equivalence("targets" + str(step), expected, targets) new_messages = normalize_messages(new_messages) a = new_messages assert testcase.tmpdir is not None a.extend(self.maybe_suggest(step, server, main_src, testcase.tmpdir)) a.extend(self.maybe_inspect(step, server, main_src)) return a, triggered def parse_sources( self, program_text: str, incremental_step: int, options: Options ) -> list[BuildSource]: """Return target BuildSources for a test case. Normally, the unit tests will check all files included in the test case. This differs from how testcheck works by default, as dmypy doesn't currently support following imports. You can override this behavior and instruct the tests to check multiple modules by using a comment like this in the test case input: # cmd: main a.py You can also use `# cmdN:` to have a different cmd for incremental step N (2, 3, ...). """ m = re.search("# cmd: mypy ([a-zA-Z0-9_./ ]+)$", program_text, flags=re.MULTILINE) regex = f"# cmd{incremental_step}: mypy ([a-zA-Z0-9_./ ]+)$" alt_m = re.search(regex, program_text, flags=re.MULTILINE) if alt_m is not None: # Optionally return a different command if in a later step # of incremental mode, otherwise default to reusing the # original cmd. m = alt_m if m: # The test case wants to use a non-default set of files. paths = [os.path.join(test_temp_dir, path) for path in m.group(1).strip().split()] return create_source_list(paths, options) else: base = BuildSource(os.path.join(test_temp_dir, "main"), "__main__", None) # Use expand_dir instead of create_source_list to avoid complaints # when there aren't any .py files in an increment return [base] + create_source_list([test_temp_dir], options, allow_empty_dir=True) def maybe_suggest(self, step: int, server: Server, src: str, tmp_dir: str) -> list[str]: output: list[str] = [] targets = self.get_suggest(src, step) for flags, target in targets: json = "--json" in flags callsites = "--callsites" in flags no_any = "--no-any" in flags no_errors = "--no-errors" in flags m = re.match("--flex-any=([0-9.]+)", flags) flex_any = float(m.group(1)) if m else None m = re.match(r"--use-fixme=(\w+)", flags) use_fixme = m.group(1) if m else None m = re.match("--max-guesses=([0-9]+)", flags) max_guesses = int(m.group(1)) if m else None res: dict[str, Any] = server.cmd_suggest( target.strip(), json=json, no_any=no_any, no_errors=no_errors, flex_any=flex_any, use_fixme=use_fixme, callsites=callsites, max_guesses=max_guesses, ) val = res["error"] if "error" in res else res["out"] + res["err"] if json: # JSON contains already escaped \ on Windows, so requires a bit of care. val = val.replace("\\\\", "\\") val = val.replace(os.path.realpath(tmp_dir) + os.path.sep, "") val = val.replace(os.path.abspath(tmp_dir) + os.path.sep, "") output.extend(val.strip().split("\n")) return normalize_messages(output) def maybe_inspect(self, step: int, server: Server, src: str) -> list[str]: output: list[str] = [] targets = self.get_inspect(src, step) for flags, location in targets: m = re.match(r"--show=(\w+)", flags) show = m.group(1) if m else "type" verbosity = 0 if "-v" in flags: verbosity = 1 if "-vv" in flags: verbosity = 2 m = re.match(r"--limit=([0-9]+)", flags) limit = int(m.group(1)) if m else 0 include_span = "--include-span" in flags include_kind = "--include-kind" in flags include_object_attrs = "--include-object-attrs" in flags union_attrs = "--union-attrs" in flags force_reload = "--force-reload" in flags res: dict[str, Any] = server.cmd_inspect( show, location, verbosity=verbosity, limit=limit, include_span=include_span, include_kind=include_kind, include_object_attrs=include_object_attrs, union_attrs=union_attrs, force_reload=force_reload, ) val = res["error"] if "error" in res else res["out"] + res["err"] output.extend(val.strip().split("\n")) return output def get_suggest(self, program_text: str, incremental_step: int) -> list[tuple[str, str]]: step_bit = "1?" if incremental_step == 1 else str(incremental_step) regex = f"# suggest{step_bit}: (--[a-zA-Z0-9_\\-./=?^ ]+ )*([a-zA-Z0-9_.:/?^ ]+)$" m = re.findall(regex, program_text, flags=re.MULTILINE) return m def get_inspect(self, program_text: str, incremental_step: int) -> list[tuple[str, str]]: step_bit = "1?" if incremental_step == 1 else str(incremental_step) regex = f"# inspect{step_bit}: (--[a-zA-Z0-9_\\-=?^ ]+ )*([a-zA-Z0-9_.:/?^ ]+)$" m = re.findall(regex, program_text, flags=re.MULTILINE) return m def normalize_messages(messages: list[str]) -> list[str]: return [re.sub("^tmp" + re.escape(os.sep), "", message) for message in messages] class TestMessageSorting(unittest.TestCase): def test_simple_sorting(self) -> None: msgs = ['x.py:1: error: "int" not callable', 'foo/y.py:123: note: "X" not defined'] old_msgs = ['foo/y.py:12: note: "Y" not defined', 'x.py:8: error: "str" not callable'] assert sort_messages_preserving_file_order(msgs, old_msgs) == list(reversed(msgs)) assert sort_messages_preserving_file_order(list(reversed(msgs)), old_msgs) == list( reversed(msgs) ) def test_long_form_sorting(self) -> None: # Multi-line errors should be sorted together and not split. msg1 = [ 'x.py:1: error: "int" not callable', "and message continues (x: y)", " 1()", " ^~~", ] msg2 = [ 'foo/y.py: In function "f":', 'foo/y.py:123: note: "X" not defined', "and again message continues", ] old_msgs = ['foo/y.py:12: note: "Y" not defined', 'x.py:8: error: "str" not callable'] assert sort_messages_preserving_file_order(msg1 + msg2, old_msgs) == msg2 + msg1 assert sort_messages_preserving_file_order(msg2 + msg1, old_msgs) == msg2 + msg1 def test_mypy_error_prefix(self) -> None: # Some errors don't have a file and start with "mypy: ". These # shouldn't be sorted together with file-specific errors. msg1 = 'x.py:1: error: "int" not callable' msg2 = 'foo/y:123: note: "X" not defined' msg3 = "mypy: Error not associated with a file" old_msgs = [ "mypy: Something wrong", 'foo/y:12: note: "Y" not defined', 'x.py:8: error: "str" not callable', ] assert sort_messages_preserving_file_order([msg1, msg2, msg3], old_msgs) == [ msg2, msg1, msg3, ] assert sort_messages_preserving_file_order([msg3, msg2, msg1], old_msgs) == [ msg2, msg1, msg3, ] def test_new_file_at_the_end(self) -> None: msg1 = 'x.py:1: error: "int" not callable' msg2 = 'foo/y.py:123: note: "X" not defined' new1 = "ab.py:3: error: Problem: error" new2 = "aaa:3: error: Bad" old_msgs = ['foo/y.py:12: note: "Y" not defined', 'x.py:8: error: "str" not callable'] assert sort_messages_preserving_file_order([msg1, msg2, new1], old_msgs) == [ msg2, msg1, new1, ] assert sort_messages_preserving_file_order([new1, msg1, msg2, new2], old_msgs) == [ msg2, msg1, new1, new2, ] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testfinegrainedcache.py0000644000175100017510000000110415112307767020741 0ustar00runnerrunner"""Tests for fine-grained incremental checking using the cache. All of the real code for this lives in testfinegrained.py. """ # We can't "import FineGrainedSuite from ..." because that will cause pytest # to collect the non-caching tests when running this file. from __future__ import annotations import mypy.test.testfinegrained class FineGrainedCacheSuite(mypy.test.testfinegrained.FineGrainedSuite): use_cache = True test_name_suffix = "_cached" files = mypy.test.testfinegrained.FineGrainedSuite.files + [ "fine-grained-cache-incremental.test" ] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testformatter.py0000644000175100017510000000511715112307767017515 0ustar00runnerrunnerfrom __future__ import annotations from unittest import TestCase, main from mypy.util import split_words, trim_source_line class FancyErrorFormattingTestCases(TestCase): def test_trim_source(self) -> None: assert trim_source_line("0123456789abcdef", max_len=16, col=5, min_width=2) == ( "0123456789abcdef", 0, ) # Locations near start. assert trim_source_line("0123456789abcdef", max_len=7, col=0, min_width=2) == ( "0123456...", 0, ) assert trim_source_line("0123456789abcdef", max_len=7, col=4, min_width=2) == ( "0123456...", 0, ) # Middle locations. assert trim_source_line("0123456789abcdef", max_len=7, col=5, min_width=2) == ( "...1234567...", -2, ) assert trim_source_line("0123456789abcdef", max_len=7, col=6, min_width=2) == ( "...2345678...", -1, ) assert trim_source_line("0123456789abcdef", max_len=7, col=8, min_width=2) == ( "...456789a...", 1, ) # Locations near the end. assert trim_source_line("0123456789abcdef", max_len=7, col=11, min_width=2) == ( "...789abcd...", 4, ) assert trim_source_line("0123456789abcdef", max_len=7, col=13, min_width=2) == ( "...9abcdef", 6, ) assert trim_source_line("0123456789abcdef", max_len=7, col=15, min_width=2) == ( "...9abcdef", 6, ) def test_split_words(self) -> None: assert split_words("Simple message") == ["Simple", "message"] assert split_words('Message with "Some[Long, Types]" in it') == [ "Message", "with", '"Some[Long, Types]"', "in", "it", ] assert split_words('Message with "Some[Long, Types]" and [error-code]') == [ "Message", "with", '"Some[Long, Types]"', "and", "[error-code]", ] assert split_words('"Type[Stands, First]" then words') == [ '"Type[Stands, First]"', "then", "words", ] assert split_words('First words "Then[Stands, Type]"') == [ "First", "words", '"Then[Stands, Type]"', ] assert split_words('"Type[Only, Here]"') == ['"Type[Only, Here]"'] assert split_words("OneWord") == ["OneWord"] assert split_words(" ") == ["", ""] if __name__ == "__main__": main() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testfscache.py0000644000175100017510000001056115112307767017105 0ustar00runnerrunner"""Unit tests for file system cache.""" from __future__ import annotations import os import shutil import tempfile import unittest from mypy.fscache import FileSystemCache class TestFileSystemCache(unittest.TestCase): def setUp(self) -> None: self.tempdir = tempfile.mkdtemp() self.oldcwd = os.getcwd() os.chdir(self.tempdir) self.fscache = FileSystemCache() def tearDown(self) -> None: os.chdir(self.oldcwd) shutil.rmtree(self.tempdir) def test_isfile_case_1(self) -> None: self.make_file("bar.py") self.make_file("pkg/sub_package/__init__.py") self.make_file("pkg/sub_package/foo.py") # Run twice to test both cached and non-cached code paths. for i in range(2): assert self.isfile_case("bar.py") assert self.isfile_case("pkg/sub_package/__init__.py") assert self.isfile_case("pkg/sub_package/foo.py") assert not self.isfile_case("non_existent.py") assert not self.isfile_case("pkg/non_existent.py") assert not self.isfile_case("pkg/") assert not self.isfile_case("bar.py/") for i in range(2): assert not self.isfile_case("Bar.py") assert not self.isfile_case("pkg/sub_package/__init__.PY") assert not self.isfile_case("pkg/Sub_Package/foo.py") assert not self.isfile_case("Pkg/sub_package/foo.py") def test_isfile_case_2(self) -> None: self.make_file("bar.py") self.make_file("pkg/sub_package/__init__.py") self.make_file("pkg/sub_package/foo.py") # Run twice to test both cached and non-cached code paths. # This reverses the order of checks from test_isfile_case_1. for i in range(2): assert not self.isfile_case("Bar.py") assert not self.isfile_case("pkg/sub_package/__init__.PY") assert not self.isfile_case("pkg/Sub_Package/foo.py") assert not self.isfile_case("Pkg/sub_package/foo.py") for i in range(2): assert self.isfile_case("bar.py") assert self.isfile_case("pkg/sub_package/__init__.py") assert self.isfile_case("pkg/sub_package/foo.py") assert not self.isfile_case("non_existent.py") assert not self.isfile_case("pkg/non_existent.py") def test_isfile_case_3(self) -> None: self.make_file("bar.py") self.make_file("pkg/sub_package/__init__.py") self.make_file("pkg/sub_package/foo.py") # Run twice to test both cached and non-cached code paths. for i in range(2): assert self.isfile_case("bar.py") assert not self.isfile_case("non_existent.py") assert not self.isfile_case("pkg/non_existent.py") assert not self.isfile_case("Bar.py") assert not self.isfile_case("pkg/sub_package/__init__.PY") assert not self.isfile_case("pkg/Sub_Package/foo.py") assert not self.isfile_case("Pkg/sub_package/foo.py") assert self.isfile_case("pkg/sub_package/__init__.py") assert self.isfile_case("pkg/sub_package/foo.py") def test_isfile_case_other_directory(self) -> None: self.make_file("bar.py") with tempfile.TemporaryDirectory() as other: self.make_file("other_dir.py", base=other) self.make_file("pkg/other_dir.py", base=other) assert self.isfile_case(os.path.join(other, "other_dir.py")) assert not self.isfile_case(os.path.join(other, "Other_Dir.py")) assert not self.isfile_case(os.path.join(other, "bar.py")) if os.path.exists(os.path.join(other, "PKG/other_dir.py")): # We only check case for directories under our prefix, and since # this path is not under the prefix, case difference is fine. assert self.isfile_case(os.path.join(other, "PKG/other_dir.py")) def make_file(self, path: str, base: str | None = None) -> None: if base is None: base = self.tempdir fullpath = os.path.join(base, path) os.makedirs(os.path.dirname(fullpath), exist_ok=True) if not path.endswith("/"): with open(fullpath, "w") as f: f.write("# test file") def isfile_case(self, path: str) -> bool: return self.fscache.isfile_case(os.path.join(self.tempdir, path), self.tempdir) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testgraph.py0000644000175100017510000000606715112307767016620 0ustar00runnerrunner"""Test cases for graph processing code in build.py.""" from __future__ import annotations import sys from collections.abc import Set as AbstractSet from mypy.build import BuildManager, BuildSourceSet, State, order_ascc, sorted_components from mypy.errors import Errors from mypy.fscache import FileSystemCache from mypy.graph_utils import strongly_connected_components, topsort from mypy.modulefinder import SearchPaths from mypy.options import Options from mypy.plugin import Plugin from mypy.report import Reports from mypy.test.helpers import Suite, assert_equal from mypy.version import __version__ class GraphSuite(Suite): def test_topsort(self) -> None: a = frozenset({"A"}) b = frozenset({"B"}) c = frozenset({"C"}) d = frozenset({"D"}) data: dict[AbstractSet[str], set[AbstractSet[str]]] = {a: {b, c}, b: {d}, c: {d}} res = list(topsort(data)) assert_equal(res, [{d}, {b, c}, {a}]) def test_scc(self) -> None: vertices = {"A", "B", "C", "D"} edges: dict[str, list[str]] = {"A": ["B", "C"], "B": ["C"], "C": ["B", "D"], "D": []} sccs = {frozenset(x) for x in strongly_connected_components(vertices, edges)} assert_equal(sccs, {frozenset({"A"}), frozenset({"B", "C"}), frozenset({"D"})}) def _make_manager(self) -> BuildManager: options = Options() options.use_builtins_fixtures = True errors = Errors(options) fscache = FileSystemCache() search_paths = SearchPaths((), (), (), ()) manager = BuildManager( data_dir="", search_paths=search_paths, ignore_prefix="", source_set=BuildSourceSet([]), reports=Reports("", {}), options=options, version_id=__version__, plugin=Plugin(options), plugins_snapshot={}, errors=errors, flush_errors=lambda filename, msgs, serious: None, fscache=fscache, stdout=sys.stdout, stderr=sys.stderr, ) return manager def test_sorted_components(self) -> None: manager = self._make_manager() graph = { "a": State("a", None, "import b, c", manager), "d": State("d", None, "pass", manager), "b": State("b", None, "import c", manager), "c": State("c", None, "import b, d", manager), } res = [scc.mod_ids for scc in sorted_components(graph)] assert_equal(res, [{"d"}, {"c", "b"}, {"a"}]) def test_order_ascc(self) -> None: manager = self._make_manager() graph = { "a": State("a", None, "import b, c", manager), "d": State("d", None, "def f(): import a", manager), "b": State("b", None, "import c", manager), "c": State("c", None, "import b, d", manager), } res = [scc.mod_ids for scc in sorted_components(graph)] assert_equal(res, [frozenset({"a", "d", "c", "b"})]) ascc = res[0] scc = order_ascc(graph, ascc) assert_equal(scc, ["d", "c", "b", "a"]) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testinfer.py0000644000175100017510000003304015112307767016611 0ustar00runnerrunner"""Test cases for type inference helper functions.""" from __future__ import annotations from mypy.argmap import map_actuals_to_formals from mypy.checker import DisjointDict, group_comparison_operands from mypy.literals import Key from mypy.nodes import ARG_NAMED, ARG_OPT, ARG_POS, ARG_STAR, ARG_STAR2, ArgKind, NameExpr from mypy.test.helpers import Suite, assert_equal from mypy.test.typefixture import TypeFixture from mypy.types import AnyType, TupleType, Type, TypeOfAny class MapActualsToFormalsSuite(Suite): """Test cases for argmap.map_actuals_to_formals.""" def test_basic(self) -> None: self.assert_map([], [], []) def test_positional_only(self) -> None: self.assert_map([ARG_POS], [ARG_POS], [[0]]) self.assert_map([ARG_POS, ARG_POS], [ARG_POS, ARG_POS], [[0], [1]]) def test_optional(self) -> None: self.assert_map([], [ARG_OPT], [[]]) self.assert_map([ARG_POS], [ARG_OPT], [[0]]) self.assert_map([ARG_POS], [ARG_OPT, ARG_OPT], [[0], []]) def test_callee_star(self) -> None: self.assert_map([], [ARG_STAR], [[]]) self.assert_map([ARG_POS], [ARG_STAR], [[0]]) self.assert_map([ARG_POS, ARG_POS], [ARG_STAR], [[0, 1]]) def test_caller_star(self) -> None: self.assert_map([ARG_STAR], [ARG_STAR], [[0]]) self.assert_map([ARG_POS, ARG_STAR], [ARG_STAR], [[0, 1]]) self.assert_map([ARG_STAR], [ARG_POS, ARG_STAR], [[0], [0]]) self.assert_map([ARG_STAR], [ARG_OPT, ARG_STAR], [[0], [0]]) def test_too_many_caller_args(self) -> None: self.assert_map([ARG_POS], [], []) self.assert_map([ARG_STAR], [], []) self.assert_map([ARG_STAR], [ARG_POS], [[0]]) def test_tuple_star(self) -> None: any_type = AnyType(TypeOfAny.special_form) self.assert_vararg_map([ARG_STAR], [ARG_POS], [[0]], self.make_tuple(any_type)) self.assert_vararg_map( [ARG_STAR], [ARG_POS, ARG_POS], [[0], [0]], self.make_tuple(any_type, any_type) ) self.assert_vararg_map( [ARG_STAR], [ARG_POS, ARG_OPT, ARG_OPT], [[0], [0], []], self.make_tuple(any_type, any_type), ) def make_tuple(self, *args: Type) -> TupleType: return TupleType(list(args), TypeFixture().std_tuple) def test_named_args(self) -> None: self.assert_map(["x"], [(ARG_POS, "x")], [[0]]) self.assert_map(["y", "x"], [(ARG_POS, "x"), (ARG_POS, "y")], [[1], [0]]) def test_some_named_args(self) -> None: self.assert_map(["y"], [(ARG_OPT, "x"), (ARG_OPT, "y"), (ARG_OPT, "z")], [[], [0], []]) def test_missing_named_arg(self) -> None: self.assert_map(["y"], [(ARG_OPT, "x")], [[]]) def test_duplicate_named_arg(self) -> None: self.assert_map(["x", "x"], [(ARG_OPT, "x")], [[0, 1]]) def test_varargs_and_bare_asterisk(self) -> None: self.assert_map([ARG_STAR], [ARG_STAR, (ARG_NAMED, "x")], [[0], []]) self.assert_map([ARG_STAR, "x"], [ARG_STAR, (ARG_NAMED, "x")], [[0], [1]]) def test_keyword_varargs(self) -> None: self.assert_map(["x"], [ARG_STAR2], [[0]]) self.assert_map(["x", ARG_STAR2], [ARG_STAR2], [[0, 1]]) self.assert_map(["x", ARG_STAR2], [(ARG_POS, "x"), ARG_STAR2], [[0], [1]]) self.assert_map([ARG_POS, ARG_STAR2], [(ARG_POS, "x"), ARG_STAR2], [[0], [1]]) def test_both_kinds_of_varargs(self) -> None: self.assert_map([ARG_STAR, ARG_STAR2], [(ARG_POS, "x"), (ARG_POS, "y")], [[0, 1], [0, 1]]) def test_special_cases(self) -> None: self.assert_map([ARG_STAR], [ARG_STAR, ARG_STAR2], [[0], []]) self.assert_map([ARG_STAR, ARG_STAR2], [ARG_STAR, ARG_STAR2], [[0], [1]]) self.assert_map([ARG_STAR2], [(ARG_POS, "x"), ARG_STAR2], [[0], [0]]) self.assert_map([ARG_STAR2], [ARG_STAR2], [[0]]) def assert_map( self, caller_kinds_: list[ArgKind | str], callee_kinds_: list[ArgKind | tuple[ArgKind, str]], expected: list[list[int]], ) -> None: caller_kinds, caller_names = expand_caller_kinds(caller_kinds_) callee_kinds, callee_names = expand_callee_kinds(callee_kinds_) result = map_actuals_to_formals( caller_kinds, caller_names, callee_kinds, callee_names, lambda i: AnyType(TypeOfAny.special_form), ) assert_equal(result, expected) def assert_vararg_map( self, caller_kinds: list[ArgKind], callee_kinds: list[ArgKind], expected: list[list[int]], vararg_type: Type, ) -> None: result = map_actuals_to_formals(caller_kinds, [], callee_kinds, [], lambda i: vararg_type) assert_equal(result, expected) def expand_caller_kinds( kinds_or_names: list[ArgKind | str], ) -> tuple[list[ArgKind], list[str | None]]: kinds = [] names: list[str | None] = [] for k in kinds_or_names: if isinstance(k, str): kinds.append(ARG_NAMED) names.append(k) else: kinds.append(k) names.append(None) return kinds, names def expand_callee_kinds( kinds_and_names: list[ArgKind | tuple[ArgKind, str]], ) -> tuple[list[ArgKind], list[str | None]]: kinds = [] names: list[str | None] = [] for v in kinds_and_names: if isinstance(v, tuple): kinds.append(v[0]) names.append(v[1]) else: kinds.append(v) names.append(None) return kinds, names class OperandDisjointDictSuite(Suite): """Test cases for checker.DisjointDict, which is used for type inference with operands.""" def new(self) -> DisjointDict[int, str]: return DisjointDict() def test_independent_maps(self) -> None: d = self.new() d.add_mapping({0, 1}, {"group1"}) d.add_mapping({2, 3, 4}, {"group2"}) d.add_mapping({5, 6, 7}, {"group3"}) self.assertEqual( d.items(), [({0, 1}, {"group1"}), ({2, 3, 4}, {"group2"}), ({5, 6, 7}, {"group3"})] ) def test_partial_merging(self) -> None: d = self.new() d.add_mapping({0, 1}, {"group1"}) d.add_mapping({1, 2}, {"group2"}) d.add_mapping({3, 4}, {"group3"}) d.add_mapping({5, 0}, {"group4"}) d.add_mapping({5, 6}, {"group5"}) d.add_mapping({4, 7}, {"group6"}) self.assertEqual( d.items(), [ ({0, 1, 2, 5, 6}, {"group1", "group2", "group4", "group5"}), ({3, 4, 7}, {"group3", "group6"}), ], ) def test_full_merging(self) -> None: d = self.new() d.add_mapping({0, 1, 2}, {"a"}) d.add_mapping({3, 4, 2}, {"b"}) d.add_mapping({10, 11, 12}, {"c"}) d.add_mapping({13, 14, 15}, {"d"}) d.add_mapping({14, 10, 16}, {"e"}) d.add_mapping({0, 10}, {"f"}) self.assertEqual( d.items(), [({0, 1, 2, 3, 4, 10, 11, 12, 13, 14, 15, 16}, {"a", "b", "c", "d", "e", "f"})], ) def test_merge_with_multiple_overlaps(self) -> None: d = self.new() d.add_mapping({0, 1, 2}, {"a"}) d.add_mapping({3, 4, 5}, {"b"}) d.add_mapping({1, 2, 4, 5}, {"c"}) d.add_mapping({6, 1, 2, 4, 5}, {"d"}) d.add_mapping({6, 1, 2, 4, 5}, {"e"}) self.assertEqual(d.items(), [({0, 1, 2, 3, 4, 5, 6}, {"a", "b", "c", "d", "e"})]) class OperandComparisonGroupingSuite(Suite): """Test cases for checker.group_comparison_operands.""" def literal_keymap(self, assignable_operands: dict[int, NameExpr]) -> dict[int, Key]: output: dict[int, Key] = {} for index, expr in assignable_operands.items(): output[index] = ("FakeExpr", expr.name) return output def test_basic_cases(self) -> None: # Note: the grouping function doesn't actually inspect the input exprs, so we # just default to using NameExprs for simplicity. x0 = NameExpr("x0") x1 = NameExpr("x1") x2 = NameExpr("x2") x3 = NameExpr("x3") x4 = NameExpr("x4") basic_input = [("==", x0, x1), ("==", x1, x2), ("<", x2, x3), ("==", x3, x4)] none_assignable = self.literal_keymap({}) all_assignable = self.literal_keymap({0: x0, 1: x1, 2: x2, 3: x3, 4: x4}) for assignable in [none_assignable, all_assignable]: self.assertEqual( group_comparison_operands(basic_input, assignable, set()), [("==", [0, 1]), ("==", [1, 2]), ("<", [2, 3]), ("==", [3, 4])], ) self.assertEqual( group_comparison_operands(basic_input, assignable, {"=="}), [("==", [0, 1, 2]), ("<", [2, 3]), ("==", [3, 4])], ) self.assertEqual( group_comparison_operands(basic_input, assignable, {"<"}), [("==", [0, 1]), ("==", [1, 2]), ("<", [2, 3]), ("==", [3, 4])], ) self.assertEqual( group_comparison_operands(basic_input, assignable, {"==", "<"}), [("==", [0, 1, 2]), ("<", [2, 3]), ("==", [3, 4])], ) def test_multiple_groups(self) -> None: x0 = NameExpr("x0") x1 = NameExpr("x1") x2 = NameExpr("x2") x3 = NameExpr("x3") x4 = NameExpr("x4") x5 = NameExpr("x5") self.assertEqual( group_comparison_operands( [("==", x0, x1), ("==", x1, x2), ("is", x2, x3), ("is", x3, x4)], self.literal_keymap({}), {"==", "is"}, ), [("==", [0, 1, 2]), ("is", [2, 3, 4])], ) self.assertEqual( group_comparison_operands( [("==", x0, x1), ("==", x1, x2), ("==", x2, x3), ("==", x3, x4)], self.literal_keymap({}), {"==", "is"}, ), [("==", [0, 1, 2, 3, 4])], ) self.assertEqual( group_comparison_operands( [("is", x0, x1), ("==", x1, x2), ("==", x2, x3), ("==", x3, x4)], self.literal_keymap({}), {"==", "is"}, ), [("is", [0, 1]), ("==", [1, 2, 3, 4])], ) self.assertEqual( group_comparison_operands( [("is", x0, x1), ("is", x1, x2), ("<", x2, x3), ("==", x3, x4), ("==", x4, x5)], self.literal_keymap({}), {"==", "is"}, ), [("is", [0, 1, 2]), ("<", [2, 3]), ("==", [3, 4, 5])], ) def test_multiple_groups_coalescing(self) -> None: x0 = NameExpr("x0") x1 = NameExpr("x1") x2 = NameExpr("x2") x3 = NameExpr("x3") x4 = NameExpr("x4") nothing_combined = [("==", [0, 1, 2]), ("<", [2, 3]), ("==", [3, 4, 5])] everything_combined = [("==", [0, 1, 2, 3, 4, 5]), ("<", [2, 3])] # Note: We do 'x4 == x0' at the very end! two_groups = [ ("==", x0, x1), ("==", x1, x2), ("<", x2, x3), ("==", x3, x4), ("==", x4, x0), ] self.assertEqual( group_comparison_operands( two_groups, self.literal_keymap({0: x0, 1: x1, 2: x2, 3: x3, 4: x4, 5: x0}), {"=="} ), everything_combined, "All vars are assignable, everything is combined", ) self.assertEqual( group_comparison_operands( two_groups, self.literal_keymap({1: x1, 2: x2, 3: x3, 4: x4}), {"=="} ), nothing_combined, "x0 is unassignable, so no combining", ) self.assertEqual( group_comparison_operands( two_groups, self.literal_keymap({0: x0, 1: x1, 3: x3, 5: x0}), {"=="} ), everything_combined, "Some vars are unassignable but x0 is, so we combine", ) self.assertEqual( group_comparison_operands(two_groups, self.literal_keymap({0: x0, 5: x0}), {"=="}), everything_combined, "All vars are unassignable but x0 is, so we combine", ) def test_multiple_groups_different_operators(self) -> None: x0 = NameExpr("x0") x1 = NameExpr("x1") x2 = NameExpr("x2") x3 = NameExpr("x3") groups = [("==", x0, x1), ("==", x1, x2), ("is", x2, x3), ("is", x3, x0)] keymap = self.literal_keymap({0: x0, 1: x1, 2: x2, 3: x3, 4: x0}) self.assertEqual( group_comparison_operands(groups, keymap, {"==", "is"}), [("==", [0, 1, 2]), ("is", [2, 3, 4])], "Different operators can never be combined", ) def test_single_pair(self) -> None: x0 = NameExpr("x0") x1 = NameExpr("x1") single_comparison = [("==", x0, x1)] expected_output = [("==", [0, 1])] assignable_combinations: list[dict[int, NameExpr]] = [{}, {0: x0}, {1: x1}, {0: x0, 1: x1}] to_group_by: list[set[str]] = [set(), {"=="}, {"is"}] for combo in assignable_combinations: for operators in to_group_by: keymap = self.literal_keymap(combo) self.assertEqual( group_comparison_operands(single_comparison, keymap, operators), expected_output, ) def test_empty_pair_list(self) -> None: # This case should never occur in practice -- ComparisonExprs # always contain at least one comparison. But in case it does... self.assertEqual(group_comparison_operands([], {}, set()), []) self.assertEqual(group_comparison_operands([], {}, {"=="}), []) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testipc.py0000644000175100017510000000757615112307767016300 0ustar00runnerrunnerfrom __future__ import annotations import sys import time from multiprocessing import Queue, get_context from unittest import TestCase, main import pytest from mypy.ipc import IPCClient, IPCServer CONNECTION_NAME = "dmypy-test-ipc" def server(msg: str, q: Queue[str]) -> None: server = IPCServer(CONNECTION_NAME) q.put(server.connection_name) data = "" while not data: with server: server.write(msg) data = server.read() server.cleanup() def server_multi_message_echo(q: Queue[str]) -> None: server = IPCServer(CONNECTION_NAME) q.put(server.connection_name) data = "" with server: while data != "quit": data = server.read() server.write(data) server.cleanup() class IPCTests(TestCase): def setUp(self) -> None: if sys.platform == "linux": # The default "fork" start method is potentially unsafe self.ctx = get_context("forkserver") else: self.ctx = get_context("spawn") def test_transaction_large(self) -> None: queue: Queue[str] = self.ctx.Queue() msg = "t" * 200000 # longer than the max read size of 100_000 p = self.ctx.Process(target=server, args=(msg, queue), daemon=True) p.start() connection_name = queue.get() with IPCClient(connection_name, timeout=1) as client: assert client.read() == msg client.write("test") queue.close() queue.join_thread() p.join() def test_connect_twice(self) -> None: queue: Queue[str] = self.ctx.Queue() msg = "this is a test message" p = self.ctx.Process(target=server, args=(msg, queue), daemon=True) p.start() connection_name = queue.get() with IPCClient(connection_name, timeout=1) as client: assert client.read() == msg client.write("") # don't let the server hang up yet, we want to connect again. with IPCClient(connection_name, timeout=1) as client: assert client.read() == msg client.write("test") queue.close() queue.join_thread() p.join() assert p.exitcode == 0 def test_multiple_messages(self) -> None: queue: Queue[str] = self.ctx.Queue() p = self.ctx.Process(target=server_multi_message_echo, args=(queue,), daemon=True) p.start() connection_name = queue.get() with IPCClient(connection_name, timeout=1) as client: # "foo bar" with extra accents on letters. # In UTF-8 encoding so we don't confuse editors opening this file. fancy_text = b"f\xcc\xb6o\xcc\xb2\xf0\x9d\x91\x9c \xd0\xb2\xe2\xb7\xa1a\xcc\xb6r\xcc\x93\xcd\x98\xcd\x8c" client.write(fancy_text.decode("utf-8")) assert client.read() == fancy_text.decode("utf-8") client.write("Test with spaces") client.write("Test write before reading previous") time.sleep(0) # yield to the server to force reading of all messages by server. assert client.read() == "Test with spaces" assert client.read() == "Test write before reading previous" client.write("quit") assert client.read() == "quit" queue.close() queue.join_thread() p.join() assert p.exitcode == 0 # Run test_connect_twice a lot, in the hopes of finding issues. # This is really slow, so it is skipped, but can be enabled if # needed to debug IPC issues. @pytest.mark.skip def test_connect_alot(self) -> None: t0 = time.time() for i in range(1000): try: print(i, "start") self.test_connect_twice() finally: t1 = time.time() print(i, t1 - t0) sys.stdout.flush() t0 = t1 if __name__ == "__main__": main() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testmerge.py0000644000175100017510000002047015112307767016610 0ustar00runnerrunner"""Test cases for AST merge (used for fine-grained incremental checking)""" from __future__ import annotations import os import shutil from mypy import build from mypy.build import BuildResult from mypy.errors import CompileError from mypy.modulefinder import BuildSource from mypy.nodes import ( UNBOUND_IMPORTED, Expression, MypyFile, SymbolTable, SymbolTableNode, TypeInfo, TypeVarExpr, Var, ) from mypy.options import Options from mypy.server.subexpr import get_subexpressions from mypy.server.update import FineGrainedBuildManager from mypy.strconv import StrConv from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal, normalize_error_messages, parse_options from mypy.types import Type, TypeStrVisitor from mypy.util import IdMapper, short_type # Which data structures to dump in a test case? SYMTABLE = "SYMTABLE" TYPEINFO = " TYPEINFO" TYPES = "TYPES" AST = "AST" class ASTMergeSuite(DataSuite): files = ["merge.test"] def setup(self) -> None: super().setup() self.str_conv = StrConv(show_ids=True, options=Options()) assert self.str_conv.id_mapper is not None self.id_mapper: IdMapper = self.str_conv.id_mapper self.type_str_conv = TypeStrVisitor(self.id_mapper, options=Options()) def run_case(self, testcase: DataDrivenTestCase) -> None: name = testcase.name # We use the test case name to decide which data structures to dump. # Dumping everything would result in very verbose test cases. if name.endswith("_symtable"): kind = SYMTABLE elif name.endswith("_typeinfo"): kind = TYPEINFO elif name.endswith("_types"): kind = TYPES else: kind = AST main_src = "\n".join(testcase.input) result = self.build(main_src, testcase) assert result is not None, "cases where CompileError occurred should not be run" result.manager.fscache.flush() fine_grained_manager = FineGrainedBuildManager(result) a = [] if result.errors: a.extend(result.errors) target_path = os.path.join(test_temp_dir, "target.py") shutil.copy(os.path.join(test_temp_dir, "target.py.next"), target_path) a.extend(self.dump(fine_grained_manager, kind, testcase.test_modules)) old_subexpr = get_subexpressions(result.manager.modules["target"]) a.append("==>") new_file, new_types = self.build_increment(fine_grained_manager, "target", target_path) a.extend(self.dump(fine_grained_manager, kind, testcase.test_modules)) for expr in old_subexpr: if isinstance(expr, TypeVarExpr): # These are merged so we can't perform the check. continue # Verify that old AST nodes are removed from the expression type map. assert expr not in new_types if testcase.normalize_output: a = normalize_error_messages(a) assert_string_arrays_equal( testcase.output, a, f"Invalid output ({testcase.file}, line {testcase.line})" ) def build(self, source: str, testcase: DataDrivenTestCase) -> BuildResult | None: options = parse_options(source, testcase, incremental_step=1) options.incremental = True options.fine_grained_incremental = True options.use_builtins_fixtures = True options.export_types = True options.show_traceback = True options.allow_empty_bodies = True main_path = os.path.join(test_temp_dir, "main") self.str_conv.options = options self.type_str_conv.options = options with open(main_path, "w", encoding="utf8") as f: f.write(source) try: result = build.build( sources=[BuildSource(main_path, None, None)], options=options, alt_lib_path=test_temp_dir, ) except CompileError: # TODO: Is it okay to return None? return None return result def build_increment( self, manager: FineGrainedBuildManager, module_id: str, path: str ) -> tuple[MypyFile, dict[Expression, Type]]: manager.flush_cache() manager.update([(module_id, path)], []) module = manager.manager.modules[module_id] type_map = manager.graph[module_id].type_map() return module, type_map def dump( self, manager: FineGrainedBuildManager, kind: str, test_modules: list[str] ) -> list[str]: modules = { name: file for name, file in manager.manager.modules.items() if name in test_modules } if kind == AST: return self.dump_asts(modules) elif kind == TYPEINFO: return self.dump_typeinfos(modules) elif kind == SYMTABLE: return self.dump_symbol_tables(modules) elif kind == TYPES: return self.dump_types(modules, manager) assert False, f"Invalid kind {kind}" def dump_asts(self, modules: dict[str, MypyFile]) -> list[str]: a = [] for m in sorted(modules): s = modules[m].accept(self.str_conv) a.extend(s.splitlines()) return a def dump_symbol_tables(self, modules: dict[str, MypyFile]) -> list[str]: a = [] for id in sorted(modules): a.extend(self.dump_symbol_table(id, modules[id].names)) return a def dump_symbol_table(self, module_id: str, symtable: SymbolTable) -> list[str]: a = [f"{module_id}:"] for name in sorted(symtable): if name.startswith("__"): continue a.append(f" {name}: {self.format_symbol_table_node(symtable[name])}") return a def format_symbol_table_node(self, node: SymbolTableNode) -> str: if node.node is None: if node.kind == UNBOUND_IMPORTED: return "UNBOUND_IMPORTED" return "None" s = f"{str(type(node.node).__name__)}<{self.id_mapper.id(node.node)}>" if ( isinstance(node.node, Var) and node.node.type and not node.node.fullname.startswith("typing.") ): typestr = self.format_type(node.node.type) s += f"({typestr})" return s def dump_typeinfos(self, modules: dict[str, MypyFile]) -> list[str]: a = [] for id in sorted(modules): a.extend(self.dump_typeinfos_recursive(modules[id].names)) return a def dump_typeinfos_recursive(self, names: SymbolTable) -> list[str]: a = [] for name, node in sorted(names.items(), key=lambda x: x[0]): if isinstance(node.node, TypeInfo): a.extend(self.dump_typeinfo(node.node)) a.extend(self.dump_typeinfos_recursive(node.node.names)) return a def dump_typeinfo(self, info: TypeInfo) -> list[str]: if info.fullname == "enum.Enum": # Avoid noise return [] s = info.dump(str_conv=self.str_conv, type_str_conv=self.type_str_conv) return s.splitlines() def dump_types( self, modules: dict[str, MypyFile], manager: FineGrainedBuildManager ) -> list[str]: a = [] # To make the results repeatable, we try to generate unique and # deterministic sort keys. for module_id in sorted(modules): all_types = manager.manager.all_types # Compute a module type map from the global type map tree = manager.graph[module_id].tree assert tree is not None type_map = { node: all_types[node] for node in get_subexpressions(tree) if node in all_types } if type_map: a.append(f"## {module_id}") for expr in sorted( type_map, key=lambda n: ( n.line, short_type(n), n.str_with_options(self.str_conv.options) + str(type_map[n]), ), ): typ = type_map[expr] a.append(f"{short_type(expr)}:{expr.line}: {self.format_type(typ)}") return a def format_type(self, typ: Type) -> str: return typ.accept(self.type_str_conv) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testmodulefinder.py0000644000175100017510000003320515112307767020166 0ustar00runnerrunnerfrom __future__ import annotations import os from mypy.modulefinder import FindModuleCache, ModuleNotFoundReason, SearchPaths from mypy.options import Options from mypy.test.config import package_path from mypy.test.helpers import Suite, assert_equal data_path = os.path.relpath(os.path.join(package_path, "modulefinder")) class ModuleFinderSuite(Suite): def setUp(self) -> None: self.search_paths = SearchPaths( python_path=(), mypy_path=( os.path.join(data_path, "nsx-pkg1"), os.path.join(data_path, "nsx-pkg2"), os.path.join(data_path, "nsx-pkg3"), os.path.join(data_path, "nsy-pkg1"), os.path.join(data_path, "nsy-pkg2"), os.path.join(data_path, "pkg1"), os.path.join(data_path, "pkg2"), ), package_path=(), typeshed_path=(), ) options = Options() options.namespace_packages = True self.fmc_ns = FindModuleCache(self.search_paths, fscache=None, options=options) options = Options() options.namespace_packages = False self.fmc_nons = FindModuleCache(self.search_paths, fscache=None, options=options) def test__no_namespace_packages__nsx(self) -> None: """ If namespace_packages is False, we shouldn't find nsx """ found_module = self.fmc_nons.find_module("nsx") assert_equal(ModuleNotFoundReason.NOT_FOUND, found_module) def test__no_namespace_packages__nsx_a(self) -> None: """ If namespace_packages is False, we shouldn't find nsx.a. """ found_module = self.fmc_nons.find_module("nsx.a") assert_equal(ModuleNotFoundReason.NOT_FOUND, found_module) def test__no_namespace_packages__find_a_in_pkg1(self) -> None: """ Find find pkg1/a.py for "a" with namespace_packages False. """ found_module = self.fmc_nons.find_module("a") expected = os.path.abspath(os.path.join(data_path, "pkg1", "a.py")) assert_equal(expected, found_module) def test__no_namespace_packages__find_b_in_pkg2(self) -> None: found_module = self.fmc_ns.find_module("b") expected = os.path.abspath(os.path.join(data_path, "pkg2", "b", "__init__.py")) assert_equal(expected, found_module) def test__find_nsx_as_namespace_pkg_in_pkg1(self) -> None: """ There's no __init__.py in any of the nsx dirs, return the path to the first one found in mypypath. """ found_module = self.fmc_ns.find_module("nsx") expected = os.path.abspath(os.path.join(data_path, "nsx-pkg1", "nsx")) assert_equal(expected, found_module) def test__find_nsx_a_init_in_pkg1(self) -> None: """ Find nsx-pkg1/nsx/a/__init__.py for "nsx.a" in namespace mode. """ found_module = self.fmc_ns.find_module("nsx.a") expected = os.path.abspath(os.path.join(data_path, "nsx-pkg1", "nsx", "a", "__init__.py")) assert_equal(expected, found_module) def test__find_nsx_b_init_in_pkg2(self) -> None: """ Find nsx-pkg2/nsx/b/__init__.py for "nsx.b" in namespace mode. """ found_module = self.fmc_ns.find_module("nsx.b") expected = os.path.abspath(os.path.join(data_path, "nsx-pkg2", "nsx", "b", "__init__.py")) assert_equal(expected, found_module) def test__find_nsx_c_c_in_pkg3(self) -> None: """ Find nsx-pkg3/nsx/c/c.py for "nsx.c.c" in namespace mode. """ found_module = self.fmc_ns.find_module("nsx.c.c") expected = os.path.abspath(os.path.join(data_path, "nsx-pkg3", "nsx", "c", "c.py")) assert_equal(expected, found_module) def test__find_nsy_a__init_pyi(self) -> None: """ Prefer nsy-pkg1/a/__init__.pyi file over __init__.py. """ found_module = self.fmc_ns.find_module("nsy.a") expected = os.path.abspath(os.path.join(data_path, "nsy-pkg1", "nsy", "a", "__init__.pyi")) assert_equal(expected, found_module) def test__find_nsy_b__init_py(self) -> None: """ There is a nsy-pkg2/nsy/b.pyi, but also a nsy-pkg2/nsy/b/__init__.py. We expect to find the latter when looking up "nsy.b" as a package is preferred over a module. """ found_module = self.fmc_ns.find_module("nsy.b") expected = os.path.abspath(os.path.join(data_path, "nsy-pkg2", "nsy", "b", "__init__.py")) assert_equal(expected, found_module) def test__find_nsy_c_pyi(self) -> None: """ There is a nsy-pkg2/nsy/c.pyi and nsy-pkg2/nsy/c.py We expect to find the former when looking up "nsy.b" as .pyi is preferred over .py. """ found_module = self.fmc_ns.find_module("nsy.c") expected = os.path.abspath(os.path.join(data_path, "nsy-pkg2", "nsy", "c.pyi")) assert_equal(expected, found_module) def test__find_a_in_pkg1(self) -> None: found_module = self.fmc_ns.find_module("a") expected = os.path.abspath(os.path.join(data_path, "pkg1", "a.py")) assert_equal(expected, found_module) def test__find_b_init_in_pkg2(self) -> None: found_module = self.fmc_ns.find_module("b") expected = os.path.abspath(os.path.join(data_path, "pkg2", "b", "__init__.py")) assert_equal(expected, found_module) def test__find_d_nowhere(self) -> None: found_module = self.fmc_ns.find_module("d") assert_equal(ModuleNotFoundReason.NOT_FOUND, found_module) class ModuleFinderSitePackagesSuite(Suite): def setUp(self) -> None: self.package_dir = os.path.relpath( os.path.join(package_path, "modulefinder-site-packages") ) package_paths = ( os.path.join(self.package_dir, "baz"), os.path.join(self.package_dir, "..", "not-a-directory"), os.path.join(self.package_dir, "..", "modulefinder-src"), self.package_dir, ) self.search_paths = SearchPaths( python_path=(), mypy_path=(os.path.join(data_path, "pkg1"),), package_path=tuple(package_paths), typeshed_path=(), ) options = Options() options.namespace_packages = True self.fmc_ns = FindModuleCache(self.search_paths, fscache=None, options=options) options = Options() options.namespace_packages = False self.fmc_nons = FindModuleCache(self.search_paths, fscache=None, options=options) def path(self, *parts: str) -> str: return os.path.abspath(os.path.join(self.package_dir, *parts)) def test__packages_with_ns(self) -> None: cases = [ # Namespace package with py.typed ("ns_pkg_typed", self.path("ns_pkg_typed")), ("ns_pkg_typed.a", self.path("ns_pkg_typed", "a.py")), ("ns_pkg_typed.b", self.path("ns_pkg_typed", "b")), ("ns_pkg_typed.b.c", self.path("ns_pkg_typed", "b", "c.py")), ("ns_pkg_typed.a.a_var", ModuleNotFoundReason.NOT_FOUND), # Namespace package without py.typed ("ns_pkg_untyped", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_untyped.a", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_untyped.b", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_untyped.b.c", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_untyped.a.a_var", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), # Namespace package without stub package ("ns_pkg_w_stubs", self.path("ns_pkg_w_stubs")), ("ns_pkg_w_stubs.typed", self.path("ns_pkg_w_stubs-stubs", "typed", "__init__.pyi")), ( "ns_pkg_w_stubs.typed_inline", self.path("ns_pkg_w_stubs", "typed_inline", "__init__.py"), ), ("ns_pkg_w_stubs.untyped", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), # Regular package with py.typed ("pkg_typed", self.path("pkg_typed", "__init__.py")), ("pkg_typed.a", self.path("pkg_typed", "a.py")), ("pkg_typed.b", self.path("pkg_typed", "b", "__init__.py")), ("pkg_typed.b.c", self.path("pkg_typed", "b", "c.py")), ("pkg_typed.a.a_var", ModuleNotFoundReason.NOT_FOUND), # Regular package with py.typed, bundled stubs, and external stubs-only package ("pkg_typed_w_stubs", self.path("pkg_typed_w_stubs-stubs", "__init__.pyi")), ("pkg_typed_w_stubs.spam", self.path("pkg_typed_w_stubs-stubs", "spam.pyi")), # Regular package without py.typed ("pkg_untyped", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("pkg_untyped.a", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("pkg_untyped.b", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("pkg_untyped.b.c", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("pkg_untyped.a.a_var", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), # Top-level Python file in site-packages ("standalone", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("standalone.standalone_var", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), # Packages found by following .pth files ("baz_pkg", self.path("baz", "baz_pkg", "__init__.py")), ("ns_baz_pkg.a", self.path("baz", "ns_baz_pkg", "a.py")), ("neighbor_pkg", self.path("..", "modulefinder-src", "neighbor_pkg", "__init__.py")), ("ns_neighbor_pkg.a", self.path("..", "modulefinder-src", "ns_neighbor_pkg", "a.py")), # Something that doesn't exist ("does_not_exist", ModuleNotFoundReason.NOT_FOUND), # A regular package with an installed set of stubs ("foo.bar", self.path("foo-stubs", "bar.pyi")), # A regular, non-site-packages module ("a", os.path.abspath(os.path.join(data_path, "pkg1", "a.py"))), ] for module, expected in cases: template = "Find(" + module + ") got {}; expected {}" actual = self.fmc_ns.find_module(module) assert_equal(actual, expected, template) def test__packages_without_ns(self) -> None: cases = [ # Namespace package with py.typed ("ns_pkg_typed", ModuleNotFoundReason.NOT_FOUND), ("ns_pkg_typed.a", ModuleNotFoundReason.NOT_FOUND), ("ns_pkg_typed.b", ModuleNotFoundReason.NOT_FOUND), ("ns_pkg_typed.b.c", ModuleNotFoundReason.NOT_FOUND), ("ns_pkg_typed.a.a_var", ModuleNotFoundReason.NOT_FOUND), # Namespace package without py.typed ("ns_pkg_untyped", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_untyped.a", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_untyped.b", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_untyped.b.c", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_untyped.a.a_var", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), # Namespace package without stub package ("ns_pkg_w_stubs", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("ns_pkg_w_stubs.typed", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ( "ns_pkg_w_stubs.typed_inline", self.path("ns_pkg_w_stubs", "typed_inline", "__init__.py"), ), ("ns_pkg_w_stubs.untyped", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), # Regular package with py.typed ("pkg_typed", self.path("pkg_typed", "__init__.py")), ("pkg_typed.a", self.path("pkg_typed", "a.py")), ("pkg_typed.b", self.path("pkg_typed", "b", "__init__.py")), ("pkg_typed.b.c", self.path("pkg_typed", "b", "c.py")), ("pkg_typed.a.a_var", ModuleNotFoundReason.NOT_FOUND), # Regular package with py.typed, bundled stubs, and external stubs-only package ("pkg_typed_w_stubs", self.path("pkg_typed_w_stubs-stubs", "__init__.pyi")), ("pkg_typed_w_stubs.spam", self.path("pkg_typed_w_stubs-stubs", "spam.pyi")), # Regular package without py.typed ("pkg_untyped", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("pkg_untyped.a", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("pkg_untyped.b", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("pkg_untyped.b.c", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("pkg_untyped.a.a_var", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), # Top-level Python file in site-packages ("standalone", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), ("standalone.standalone_var", ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS), # Packages found by following .pth files ("baz_pkg", self.path("baz", "baz_pkg", "__init__.py")), ("ns_baz_pkg.a", ModuleNotFoundReason.NOT_FOUND), ("neighbor_pkg", self.path("..", "modulefinder-src", "neighbor_pkg", "__init__.py")), ("ns_neighbor_pkg.a", ModuleNotFoundReason.NOT_FOUND), # Something that doesn't exist ("does_not_exist", ModuleNotFoundReason.NOT_FOUND), # A regular package with an installed set of stubs ("foo.bar", self.path("foo-stubs", "bar.pyi")), # A regular, non-site-packages module ("a", os.path.abspath(os.path.join(data_path, "pkg1", "a.py"))), ] for module, expected in cases: template = "Find(" + module + ") got {}; expected {}" actual = self.fmc_nons.find_module(module) assert_equal(actual, expected, template) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testmypyc.py0000644000175100017510000000061515112307767016651 0ustar00runnerrunner"""A basic check to make sure that we are using a mypyc-compiled version when expected.""" from __future__ import annotations import os from unittest import TestCase import mypy class MypycTest(TestCase): def test_using_mypyc(self) -> None: if os.getenv("TEST_MYPYC", None) == "1": assert not mypy.__file__.endswith(".py"), "Expected to find a mypyc-compiled version" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testoutput.py0000644000175100017510000000367415112307767017060 0ustar00runnerrunner"""Test cases for `--output=json`. These cannot be run by the usual unit test runner because of the backslashes in the output, which get normalized to forward slashes by the test suite on Windows. """ from __future__ import annotations import os import os.path from mypy import api from mypy.defaults import PYTHON3_VERSION from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite class OutputJSONsuite(DataSuite): files = ["outputjson.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: test_output_json(testcase) def test_output_json(testcase: DataDrivenTestCase) -> None: """Runs Mypy in a subprocess, and ensures that `--output=json` works as intended.""" mypy_cmdline = ["--output=json"] mypy_cmdline.append(f"--python-version={'.'.join(map(str, PYTHON3_VERSION))}") # Write the program to a file. program_path = os.path.join(test_temp_dir, "main") mypy_cmdline.append(program_path) with open(program_path, "w", encoding="utf8") as file: for s in testcase.input: file.write(f"{s}\n") output = [] # Type check the program. out, err, returncode = api.run(mypy_cmdline) # split lines, remove newlines, and remove directory of test case for line in (out + err).rstrip("\n").splitlines(): if line.startswith(test_temp_dir + os.sep): output.append(line[len(test_temp_dir + os.sep) :].rstrip("\r\n")) else: output.append(line.rstrip("\r\n")) if returncode > 1: output.append("!!! Mypy crashed !!!") # Remove temp file. os.remove(program_path) # JSON encodes every `\` character into `\\`, so we need to remove `\\` from windows paths # and `/` from POSIX paths json_os_separator = os.sep.replace("\\", "\\\\") normalized_output = [line.replace(test_temp_dir + json_os_separator, "") for line in output] assert normalized_output == testcase.output ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testparse.py0000644000175100017510000000731615112307767016627 0ustar00runnerrunner"""Tests for the mypy parser.""" from __future__ import annotations import sys from pytest import skip from mypy import defaults from mypy.config_parser import parse_mypy_comments from mypy.errors import CompileError, Errors from mypy.options import Options from mypy.parse import parse from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal, find_test_files, parse_options from mypy.util import get_mypy_comments class ParserSuite(DataSuite): required_out_section = True base_path = "." files = find_test_files(pattern="parse*.test", exclude=["parse-errors.test"]) if sys.version_info < (3, 10): files.remove("parse-python310.test") if sys.version_info < (3, 12): files.remove("parse-python312.test") if sys.version_info < (3, 13): files.remove("parse-python313.test") if sys.version_info < (3, 14): files.remove("parse-python314.test") def run_case(self, testcase: DataDrivenTestCase) -> None: test_parser(testcase) def test_parser(testcase: DataDrivenTestCase) -> None: """Perform a single parser test case. The argument contains the description of the test case. """ options = Options() options.hide_error_codes = True if testcase.file.endswith("python310.test"): options.python_version = (3, 10) elif testcase.file.endswith("python312.test"): options.python_version = (3, 12) elif testcase.file.endswith("python313.test"): options.python_version = (3, 13) elif testcase.file.endswith("python314.test"): options.python_version = (3, 14) else: options.python_version = defaults.PYTHON3_VERSION source = "\n".join(testcase.input) # Apply mypy: comments to options. comments = get_mypy_comments(source) changes, _ = parse_mypy_comments(comments, options) options = options.apply_changes(changes) try: n = parse( bytes(source, "ascii"), fnam="main", module="__main__", errors=Errors(options), options=options, raise_on_error=True, ) a = n.str_with_options(options).split("\n") except CompileError as e: a = e.messages assert_string_arrays_equal( testcase.output, a, f"Invalid parser output ({testcase.file}, line {testcase.line})" ) # The file name shown in test case output. This is displayed in error # messages, and must match the file name in the test case descriptions. INPUT_FILE_NAME = "file" class ParseErrorSuite(DataSuite): required_out_section = True base_path = "." files = ["parse-errors.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: test_parse_error(testcase) def test_parse_error(testcase: DataDrivenTestCase) -> None: try: options = parse_options("\n".join(testcase.input), testcase, 0) if options.python_version != sys.version_info[:2]: skip() # Compile temporary file. The test file contains non-ASCII characters. parse( bytes("\n".join(testcase.input), "utf-8"), INPUT_FILE_NAME, "__main__", errors=Errors(options), options=options, raise_on_error=True, ) raise AssertionError("No errors reported") except CompileError as e: if e.module_with_blocker is not None: assert e.module_with_blocker == "__main__" # Verify that there was a compile error and that the error messages # are equivalent. assert_string_arrays_equal( testcase.output, e.messages, f"Invalid compiler output ({testcase.file}, line {testcase.line})", ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testpep561.py0000644000175100017510000001526715112307767016541 0ustar00runnerrunnerfrom __future__ import annotations import os import re import subprocess import sys import tempfile from collections.abc import Iterator from contextlib import contextmanager import filelock import mypy.api from mypy.test.config import package_path, pip_lock, pip_timeout, test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal, perform_file_operations # NOTE: options.use_builtins_fixtures should not be set in these # tests, otherwise mypy will ignore installed third-party packages. class PEP561Suite(DataSuite): files = ["pep561.test"] base_path = "." def run_case(self, testcase: DataDrivenTestCase) -> None: test_pep561(testcase) @contextmanager def virtualenv(python_executable: str = sys.executable) -> Iterator[tuple[str, str]]: """Context manager that creates a virtualenv in a temporary directory Returns the path to the created Python executable """ with tempfile.TemporaryDirectory() as venv_dir: proc = subprocess.run( [python_executable, "-m", "venv", venv_dir], cwd=os.getcwd(), capture_output=True ) if proc.returncode != 0: err = proc.stdout.decode("utf-8") + proc.stderr.decode("utf-8") raise Exception("Failed to create venv.\n" + err) if sys.platform == "win32": yield venv_dir, os.path.abspath(os.path.join(venv_dir, "Scripts", "python")) else: yield venv_dir, os.path.abspath(os.path.join(venv_dir, "bin", "python")) def upgrade_pip(python_executable: str) -> None: """Install pip>=21.3.1. Required for editable installs with PEP 660.""" if ( sys.version_info >= (3, 11) or (3, 10, 3) <= sys.version_info < (3, 11) or (3, 9, 11) <= sys.version_info < (3, 10) ): # Skip for more recent Python releases which come with pip>=21.3.1 # out of the box - for performance reasons. return install_cmd = [python_executable, "-m", "pip", "install", "pip>=21.3.1"] try: with filelock.FileLock(pip_lock, timeout=pip_timeout): proc = subprocess.run(install_cmd, capture_output=True, env=os.environ) except filelock.Timeout as err: raise Exception(f"Failed to acquire {pip_lock}") from err if proc.returncode != 0: raise Exception(proc.stdout.decode("utf-8") + proc.stderr.decode("utf-8")) def install_package( pkg: str, python_executable: str = sys.executable, editable: bool = False ) -> None: """Install a package from test-data/packages/pkg/""" working_dir = os.path.join(package_path, pkg) with tempfile.TemporaryDirectory() as dir: install_cmd = [python_executable, "-m", "pip", "install"] if editable: install_cmd.append("-e") install_cmd.append(".") # Note that newer versions of pip (21.3+) don't # follow this env variable, but this is for compatibility env = {"PIP_BUILD": dir} # Inherit environment for Windows env.update(os.environ) try: with filelock.FileLock(pip_lock, timeout=pip_timeout): proc = subprocess.run(install_cmd, cwd=working_dir, capture_output=True, env=env) except filelock.Timeout as err: raise Exception(f"Failed to acquire {pip_lock}") from err if proc.returncode != 0: raise Exception(proc.stdout.decode("utf-8") + proc.stderr.decode("utf-8")) def test_pep561(testcase: DataDrivenTestCase) -> None: """Test running mypy on files that depend on PEP 561 packages.""" assert testcase.old_cwd is not None, "test was not properly set up" python = sys.executable assert python is not None, "Should be impossible" pkgs, pip_args = parse_pkgs(testcase.input[0]) mypy_args = parse_mypy_args(testcase.input[1]) editable = False for arg in pip_args: if arg == "editable": editable = True else: raise ValueError(f"Unknown pip argument: {arg}") assert pkgs, "No packages to install for PEP 561 test?" with virtualenv(python) as venv: venv_dir, python_executable = venv if editable: # Editable installs with PEP 660 require pip>=21.3 upgrade_pip(python_executable) for pkg in pkgs: install_package(pkg, python_executable, editable) cmd_line = list(mypy_args) has_program = not ("-p" in cmd_line or "--package" in cmd_line) if has_program: program = testcase.name + ".py" with open(program, "w", encoding="utf-8") as f: for s in testcase.input: f.write(f"{s}\n") cmd_line.append(program) cmd_line.extend(["--no-error-summary", "--hide-error-codes"]) if python_executable != sys.executable: cmd_line.append(f"--python-executable={python_executable}") steps = testcase.find_steps() if steps != [[]]: steps = [[]] + steps for i, operations in enumerate(steps): perform_file_operations(operations) output = [] # Type check the module out, err, returncode = mypy.api.run(cmd_line) # split lines, remove newlines, and remove directory of test case for line in (out + err).splitlines(): if line.startswith(test_temp_dir + os.sep): output.append(line[len(test_temp_dir + os.sep) :].rstrip("\r\n")) else: # Normalize paths so that the output is the same on Windows and Linux/macOS. # Yes, this is naive: replace all slashes preceding first colon, if any. path, *rest = line.split(":", maxsplit=1) if rest: path = path.replace(os.sep, "/") output.append(":".join([path, *rest]).rstrip("\r\n")) iter_count = "" if i == 0 else f" on iteration {i + 1}" expected = testcase.output if i == 0 else testcase.output2.get(i + 1, []) assert_string_arrays_equal( expected, output, f"Invalid output ({testcase.file}, line {testcase.line}){iter_count}", ) if has_program: os.remove(program) def parse_pkgs(comment: str) -> tuple[list[str], list[str]]: if not comment.startswith("# pkgs:"): return ([], []) else: pkgs_str, *args = comment[7:].split(";") return ([pkg.strip() for pkg in pkgs_str.split(",")], [arg.strip() for arg in args]) def parse_mypy_args(line: str) -> list[str]: m = re.match("# flags: (.*)$", line) if not m: return [] # No args; mypy will spit out an error. return m.group(1).split() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testpythoneval.py0000644000175100017510000001075215112307767017704 0ustar00runnerrunner"""Test cases for running mypy programs using a Python interpreter. Each test case type checks a program then runs it using Python. The output (stdout) of the program is compared to expected output. Type checking uses full builtins and other stubs. Note: Currently Python interpreter paths are hard coded. Note: These test cases are *not* included in the main test suite, as including this suite would slow down the main suite too much. """ from __future__ import annotations import os import os.path import re import subprocess import sys from tempfile import TemporaryDirectory from mypy import api from mypy.defaults import PYTHON3_VERSION from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal, split_lines # Path to Python 3 interpreter python3_path = sys.executable program_re = re.compile(r"\b_program.py\b") class PythonEvaluationSuite(DataSuite): files = ["pythoneval.test", "pythoneval-asyncio.test"] cache_dir = TemporaryDirectory() def run_case(self, testcase: DataDrivenTestCase) -> None: test_python_evaluation(testcase, os.path.join(self.cache_dir.name, ".mypy_cache")) def test_python_evaluation(testcase: DataDrivenTestCase, cache_dir: str) -> None: """Runs Mypy in a subprocess. If this passes without errors, executes the script again with a given Python version. """ assert testcase.old_cwd is not None, "test was not properly set up" # We must enable site packages to get access to installed stubs. mypy_cmdline = [ "--show-traceback", "--no-silence-site-packages", "--no-error-summary", "--hide-error-codes", "--allow-empty-bodies", "--test-env", # Speeds up some checks ] interpreter = python3_path mypy_cmdline.append(f"--python-version={'.'.join(map(str, PYTHON3_VERSION))}") m = re.search("# flags: (.*)$", "\n".join(testcase.input), re.MULTILINE) if m: additional_flags = m.group(1).split() for flag in additional_flags: if flag.startswith("--python-version="): targeted_python_version = flag.split("=")[1] targeted_major, targeted_minor = targeted_python_version.split(".") if (int(targeted_major), int(targeted_minor)) > ( sys.version_info.major, sys.version_info.minor, ): return mypy_cmdline.extend(additional_flags) # Write the program to a file. program = "_" + testcase.name + ".py" program_path = os.path.join(test_temp_dir, program) mypy_cmdline.append(program_path) with open(program_path, "w", encoding="utf8") as file: for s in testcase.input: file.write(f"{s}\n") mypy_cmdline.append(f"--cache-dir={cache_dir}") output = [] # Type check the program. out, err, returncode = api.run(mypy_cmdline) # split lines, remove newlines, and remove directory of test case for line in (out + err).splitlines(): if line.startswith(test_temp_dir + os.sep): output.append(line[len(test_temp_dir + os.sep) :].rstrip("\r\n")) else: # Normalize paths so that the output is the same on Windows and Linux/macOS. line = line.replace(test_temp_dir + os.sep, test_temp_dir + "/") output.append(line.rstrip("\r\n")) if returncode > 1 and not testcase.output: # Either api.run() doesn't work well in case of a crash, or pytest interferes with it. # Tweak output to prevent tests with empty expected output to pass in case of a crash. output.append("!!! Mypy crashed !!!") if returncode == 0 and not output: # Execute the program. proc = subprocess.run( [interpreter, "-Wignore", program], cwd=test_temp_dir, capture_output=True ) output.extend(split_lines(proc.stdout, proc.stderr)) # Remove temp file. os.remove(program_path) for i, line in enumerate(output): if os.path.sep + "typeshed" + os.path.sep in line: output[i] = line.split(os.path.sep)[-1] assert_string_arrays_equal( adapt_output(testcase), output, f"Invalid output ({testcase.file}, line {testcase.line})" ) def adapt_output(testcase: DataDrivenTestCase) -> list[str]: """Translates the generic _program.py into the actual filename.""" program = "_" + testcase.name + ".py" return [program_re.sub(program, line) for line in testcase.output] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testreports.py0000644000175100017510000000335515112307767017212 0ustar00runnerrunner"""Test cases for reports generated by mypy.""" from __future__ import annotations import textwrap from mypy.report import CoberturaPackage, get_line_rate from mypy.test.helpers import Suite, assert_equal try: import lxml # type: ignore[import-untyped] except ImportError: lxml = None import pytest class CoberturaReportSuite(Suite): @pytest.mark.skipif(lxml is None, reason="Cannot import lxml. Is it installed?") def test_get_line_rate(self) -> None: assert_equal("1.0", get_line_rate(0, 0)) assert_equal("0.3333", get_line_rate(1, 3)) @pytest.mark.skipif(lxml is None, reason="Cannot import lxml. Is it installed?") def test_as_xml(self) -> None: import lxml.etree as etree # type: ignore[import-untyped] cobertura_package = CoberturaPackage("foobar") cobertura_package.covered_lines = 21 cobertura_package.total_lines = 42 child_package = CoberturaPackage("raz") child_package.covered_lines = 10 child_package.total_lines = 10 child_package.classes["class"] = etree.Element("class") cobertura_package.packages["raz"] = child_package expected_output = textwrap.dedent( """\ """ ).encode("ascii") assert_equal( expected_output, etree.tostring(cobertura_package.as_xml(), pretty_print=True) ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testsemanal.py0000644000175100017510000001476315112307767017141 0ustar00runnerrunner"""Semantic analyzer test cases""" from __future__ import annotations import sys from mypy import build from mypy.defaults import PYTHON3_VERSION from mypy.errors import CompileError from mypy.modulefinder import BuildSource from mypy.nodes import TypeInfo from mypy.options import Options from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import ( assert_string_arrays_equal, find_test_files, normalize_error_messages, parse_options, testfile_pyversion, ) # Semantic analyzer test cases: dump parse tree # Semantic analysis test case description files. semanal_files = find_test_files( pattern="semanal-*.test", exclude=[ "semanal-errors-python310.test", "semanal-errors.test", "semanal-typeinfo.test", "semanal-symtable.test", ], ) if sys.version_info < (3, 10): semanal_files.remove("semanal-python310.test") def get_semanal_options(program_text: str, testcase: DataDrivenTestCase) -> Options: options = parse_options(program_text, testcase, 1) options.use_builtins_fixtures = True options.semantic_analysis_only = True options.show_traceback = True options.python_version = PYTHON3_VERSION return options class SemAnalSuite(DataSuite): files = semanal_files native_sep = True def run_case(self, testcase: DataDrivenTestCase) -> None: test_semanal(testcase) def test_semanal(testcase: DataDrivenTestCase) -> None: """Perform a semantic analysis test case. The testcase argument contains a description of the test case (inputs and output). """ try: src = "\n".join(testcase.input) options = get_semanal_options(src, testcase) options.python_version = testfile_pyversion(testcase.file) result = build.build( sources=[BuildSource("main", None, src)], options=options, alt_lib_path=test_temp_dir ) a = result.errors if a: raise CompileError(a) # Include string representations of the source files in the actual # output. for module in sorted(result.files.keys()): if module in testcase.test_modules: a += result.files[module].str_with_options(options).split("\n") except CompileError as e: a = e.messages if testcase.normalize_output: a = normalize_error_messages(a) assert_string_arrays_equal( testcase.output, a, f"Invalid semantic analyzer output ({testcase.file}, line {testcase.line})", ) # Semantic analyzer error test cases class SemAnalErrorSuite(DataSuite): files = ["semanal-errors.test"] if sys.version_info >= (3, 10): semanal_files.append("semanal-errors-python310.test") def run_case(self, testcase: DataDrivenTestCase) -> None: test_semanal_error(testcase) def test_semanal_error(testcase: DataDrivenTestCase) -> None: """Perform a test case.""" try: src = "\n".join(testcase.input) res = build.build( sources=[BuildSource("main", None, src)], options=get_semanal_options(src, testcase), alt_lib_path=test_temp_dir, ) a = res.errors except CompileError as e: # Verify that there was a compile error and that the error messages # are equivalent. a = e.messages if testcase.normalize_output: a = normalize_error_messages(a) assert_string_arrays_equal( testcase.output, a, f"Invalid compiler output ({testcase.file}, line {testcase.line})" ) # SymbolNode table export test cases class SemAnalSymtableSuite(DataSuite): required_out_section = True files = ["semanal-symtable.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: """Perform a test case.""" try: # Build test case input. src = "\n".join(testcase.input) result = build.build( sources=[BuildSource("main", None, src)], options=get_semanal_options(src, testcase), alt_lib_path=test_temp_dir, ) # The output is the symbol table converted into a string. a = result.errors if a: raise CompileError(a) for module in sorted(result.files.keys()): if module in testcase.test_modules: a.append(f"{module}:") for s in str(result.files[module].names).split("\n"): a.append(" " + s) except CompileError as e: a = e.messages assert_string_arrays_equal( testcase.output, a, f"Invalid semantic analyzer output ({testcase.file}, line {testcase.line})", ) # Type info export test cases class SemAnalTypeInfoSuite(DataSuite): required_out_section = True files = ["semanal-typeinfo.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: """Perform a test case.""" try: # Build test case input. src = "\n".join(testcase.input) result = build.build( sources=[BuildSource("main", None, src)], options=get_semanal_options(src, testcase), alt_lib_path=test_temp_dir, ) a = result.errors if a: raise CompileError(a) # Collect all TypeInfos in top-level modules. typeinfos = TypeInfoMap() for module, file in result.files.items(): if module in testcase.test_modules: for n in file.names.values(): if isinstance(n.node, TypeInfo): assert n.fullname if any(n.fullname.startswith(m + ".") for m in testcase.test_modules): typeinfos[n.fullname] = n.node # The output is the symbol table converted into a string. a = str(typeinfos).split("\n") except CompileError as e: a = e.messages assert_string_arrays_equal( testcase.output, a, f"Invalid semantic analyzer output ({testcase.file}, line {testcase.line})", ) class TypeInfoMap(dict[str, TypeInfo]): def __str__(self) -> str: a: list[str] = ["TypeInfoMap("] for x, y in sorted(self.items()): ti = ("\n" + " ").join(str(y).split("\n")) a.append(f" {x} : {ti}") a[-1] += ")" return "\n".join(a) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testsolve.py0000644000175100017510000002352515112307767016645 0ustar00runnerrunner"""Test cases for the constraint solver used in type inference.""" from __future__ import annotations from mypy.constraints import SUBTYPE_OF, SUPERTYPE_OF, Constraint from mypy.solve import Bounds, Graph, solve_constraints, transitive_closure from mypy.test.helpers import Suite, assert_equal from mypy.test.typefixture import TypeFixture from mypy.types import Type, TypeVarId, TypeVarLikeType, TypeVarType class SolveSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture() def test_empty_input(self) -> None: self.assert_solve([], [], []) def test_simple_supertype_constraints(self) -> None: self.assert_solve([self.fx.t], [self.supc(self.fx.t, self.fx.a)], [self.fx.a]) self.assert_solve( [self.fx.t], [self.supc(self.fx.t, self.fx.a), self.supc(self.fx.t, self.fx.b)], [self.fx.a], ) def test_simple_subtype_constraints(self) -> None: self.assert_solve([self.fx.t], [self.subc(self.fx.t, self.fx.a)], [self.fx.a]) self.assert_solve( [self.fx.t], [self.subc(self.fx.t, self.fx.a), self.subc(self.fx.t, self.fx.b)], [self.fx.b], ) def test_both_kinds_of_constraints(self) -> None: self.assert_solve( [self.fx.t], [self.supc(self.fx.t, self.fx.b), self.subc(self.fx.t, self.fx.a)], [self.fx.b], ) def test_unsatisfiable_constraints(self) -> None: # The constraints are impossible to satisfy. self.assert_solve( [self.fx.t], [self.supc(self.fx.t, self.fx.a), self.subc(self.fx.t, self.fx.b)], [None] ) def test_exactly_specified_result(self) -> None: self.assert_solve( [self.fx.t], [self.supc(self.fx.t, self.fx.b), self.subc(self.fx.t, self.fx.b)], [self.fx.b], ) def test_multiple_variables(self) -> None: self.assert_solve( [self.fx.t, self.fx.s], [ self.supc(self.fx.t, self.fx.b), self.supc(self.fx.s, self.fx.c), self.subc(self.fx.t, self.fx.a), ], [self.fx.b, self.fx.c], ) def test_no_constraints_for_var(self) -> None: self.assert_solve([self.fx.t], [], [self.fx.a_uninhabited]) self.assert_solve( [self.fx.t, self.fx.s], [], [self.fx.a_uninhabited, self.fx.a_uninhabited] ) self.assert_solve( [self.fx.t, self.fx.s], [self.supc(self.fx.s, self.fx.a)], [self.fx.a_uninhabited, self.fx.a], ) def test_simple_constraints_with_dynamic_type(self) -> None: self.assert_solve([self.fx.t], [self.supc(self.fx.t, self.fx.anyt)], [self.fx.anyt]) self.assert_solve( [self.fx.t], [self.supc(self.fx.t, self.fx.anyt), self.supc(self.fx.t, self.fx.anyt)], [self.fx.anyt], ) self.assert_solve( [self.fx.t], [self.supc(self.fx.t, self.fx.anyt), self.supc(self.fx.t, self.fx.a)], [self.fx.anyt], ) self.assert_solve([self.fx.t], [self.subc(self.fx.t, self.fx.anyt)], [self.fx.anyt]) self.assert_solve( [self.fx.t], [self.subc(self.fx.t, self.fx.anyt), self.subc(self.fx.t, self.fx.anyt)], [self.fx.anyt], ) # self.assert_solve([self.fx.t], # [self.subc(self.fx.t, self.fx.anyt), # self.subc(self.fx.t, self.fx.a)], # [self.fx.anyt]) # TODO: figure out what this should be after changes to meet(any, X) def test_both_normal_and_any_types_in_results(self) -> None: # If one of the bounds is any, we promote the other bound to # any as well, since otherwise the type range does not make sense. self.assert_solve( [self.fx.t], [self.supc(self.fx.t, self.fx.a), self.subc(self.fx.t, self.fx.anyt)], [self.fx.anyt], ) self.assert_solve( [self.fx.t], [self.supc(self.fx.t, self.fx.anyt), self.subc(self.fx.t, self.fx.a)], [self.fx.anyt], ) def test_poly_no_constraints(self) -> None: self.assert_solve( [self.fx.t, self.fx.u], [], [self.fx.a_uninhabited, self.fx.a_uninhabited], allow_polymorphic=True, ) def test_poly_trivial_free(self) -> None: self.assert_solve( [self.fx.t, self.fx.u], [self.subc(self.fx.t, self.fx.a)], [self.fx.a, self.fx.u], [self.fx.u], allow_polymorphic=True, ) def test_poly_free_pair(self) -> None: self.assert_solve( [self.fx.t, self.fx.u], [self.subc(self.fx.t, self.fx.u)], [self.fx.t, self.fx.t], [self.fx.t], allow_polymorphic=True, ) def test_poly_free_pair_with_bounds(self) -> None: t_prime = self.fx.t.copy_modified(upper_bound=self.fx.b) self.assert_solve( [self.fx.t, self.fx.ub], [self.subc(self.fx.t, self.fx.ub)], [t_prime, t_prime], [t_prime], allow_polymorphic=True, ) def test_poly_free_pair_with_bounds_uninhabited(self) -> None: self.assert_solve( [self.fx.ub, self.fx.uc], [self.subc(self.fx.ub, self.fx.uc)], [self.fx.a_uninhabited, self.fx.a_uninhabited], [], allow_polymorphic=True, ) def test_poly_bounded_chain(self) -> None: # B <: T <: U <: S <: A self.assert_solve( [self.fx.t, self.fx.u, self.fx.s], [ self.supc(self.fx.t, self.fx.b), self.subc(self.fx.t, self.fx.u), self.subc(self.fx.u, self.fx.s), self.subc(self.fx.s, self.fx.a), ], [self.fx.b, self.fx.b, self.fx.b], allow_polymorphic=True, ) def test_poly_reverse_overlapping_chain(self) -> None: # A :> T <: S :> B self.assert_solve( [self.fx.t, self.fx.s], [ self.subc(self.fx.t, self.fx.s), self.subc(self.fx.t, self.fx.a), self.supc(self.fx.s, self.fx.b), ], [self.fx.a, self.fx.a], allow_polymorphic=True, ) def test_poly_reverse_split_chain(self) -> None: # B :> T <: S :> A self.assert_solve( [self.fx.t, self.fx.s], [ self.subc(self.fx.t, self.fx.s), self.subc(self.fx.t, self.fx.b), self.supc(self.fx.s, self.fx.a), ], [self.fx.b, self.fx.a], allow_polymorphic=True, ) def test_poly_unsolvable_chain(self) -> None: # A <: T <: U <: S <: B self.assert_solve( [self.fx.t, self.fx.u, self.fx.s], [ self.supc(self.fx.t, self.fx.a), self.subc(self.fx.t, self.fx.u), self.subc(self.fx.u, self.fx.s), self.subc(self.fx.s, self.fx.b), ], [None, None, None], allow_polymorphic=True, ) def test_simple_chain_closure(self) -> None: self.assert_transitive_closure( [self.fx.t.id, self.fx.s.id], [ self.supc(self.fx.t, self.fx.b), self.subc(self.fx.t, self.fx.s), self.subc(self.fx.s, self.fx.a), ], {(self.fx.t.id, self.fx.s.id)}, {self.fx.t.id: {self.fx.b}, self.fx.s.id: {self.fx.b}}, {self.fx.t.id: {self.fx.a}, self.fx.s.id: {self.fx.a}}, ) def test_reverse_chain_closure(self) -> None: self.assert_transitive_closure( [self.fx.t.id, self.fx.s.id], [ self.subc(self.fx.t, self.fx.s), self.subc(self.fx.t, self.fx.a), self.supc(self.fx.s, self.fx.b), ], {(self.fx.t.id, self.fx.s.id)}, {self.fx.t.id: set(), self.fx.s.id: {self.fx.b}}, {self.fx.t.id: {self.fx.a}, self.fx.s.id: set()}, ) def test_secondary_constraint_closure(self) -> None: self.assert_transitive_closure( [self.fx.t.id, self.fx.s.id], [self.supc(self.fx.s, self.fx.gt), self.subc(self.fx.s, self.fx.ga)], set(), {self.fx.t.id: set(), self.fx.s.id: {self.fx.gt}}, {self.fx.t.id: {self.fx.a}, self.fx.s.id: {self.fx.ga}}, ) def assert_solve( self, vars: list[TypeVarLikeType], constraints: list[Constraint], results: list[None | Type], free_vars: list[TypeVarLikeType] | None = None, allow_polymorphic: bool = False, ) -> None: if free_vars is None: free_vars = [] actual, actual_free = solve_constraints( vars, constraints, allow_polymorphic=allow_polymorphic ) assert_equal(actual, results) assert_equal(actual_free, free_vars) def assert_transitive_closure( self, vars: list[TypeVarId], constraints: list[Constraint], graph: Graph, lowers: Bounds, uppers: Bounds, ) -> None: actual_graph, actual_lowers, actual_uppers = transitive_closure(vars, constraints) # Add trivial elements. for v in vars: graph.add((v, v)) assert_equal(actual_graph, graph) assert_equal(dict(actual_lowers), lowers) assert_equal(dict(actual_uppers), uppers) def supc(self, type_var: TypeVarType, bound: Type) -> Constraint: return Constraint(type_var, SUPERTYPE_OF, bound) def subc(self, type_var: TypeVarType, bound: Type) -> Constraint: return Constraint(type_var, SUBTYPE_OF, bound) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/teststubgen.py0000644000175100017510000016665315112307767017176 0ustar00runnerrunnerfrom __future__ import annotations import io import os.path import re import shutil import sys import tempfile import unittest from types import ModuleType from typing import Any import pytest from mypy.errors import CompileError from mypy.moduleinspect import InspectError, ModuleInspect from mypy.stubdoc import ( ArgSig, FunctionSig, build_signature, find_unique_signatures, infer_arg_sig_from_anon_docstring, infer_prop_type_from_docstring, infer_sig_from_docstring, is_valid_type, parse_all_signatures, parse_signature, ) from mypy.stubgen import ( Options, collect_build_targets, generate_stubs, is_blacklisted_path, is_non_library_module, mypy_options, parse_options, ) from mypy.stubgenc import InspectionStubGenerator, infer_c_method_args from mypy.stubutil import ( ClassInfo, FunctionContext, common_dir_prefix, infer_method_ret_type, remove_misplaced_type_comments, walk_packages, ) from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_equal, assert_string_arrays_equal, local_sys_path_set class StubgenCmdLineSuite(unittest.TestCase): """Test cases for processing command-line options and finding files.""" @unittest.skipIf(sys.platform == "win32", "clean up fails on Windows") def test_files_found(self) -> None: current = os.getcwd() with tempfile.TemporaryDirectory() as tmp: try: os.chdir(tmp) os.mkdir("subdir") self.make_file("subdir", "a.py") self.make_file("subdir", "b.py") os.mkdir(os.path.join("subdir", "pack")) self.make_file("subdir", "pack", "__init__.py") opts = parse_options(["subdir"]) py_mods, pyi_mods, c_mods = collect_build_targets(opts, mypy_options(opts)) assert_equal(pyi_mods, []) assert_equal(c_mods, []) files = {mod.path for mod in py_mods} assert_equal( files, { os.path.join("subdir", "pack", "__init__.py"), os.path.join("subdir", "a.py"), os.path.join("subdir", "b.py"), }, ) finally: os.chdir(current) @unittest.skipIf(sys.platform == "win32", "clean up fails on Windows") def test_packages_found(self) -> None: current = os.getcwd() with tempfile.TemporaryDirectory() as tmp: try: os.chdir(tmp) os.mkdir("pack") self.make_file("pack", "__init__.py", content="from . import a, b") self.make_file("pack", "a.py") self.make_file("pack", "b.py") opts = parse_options(["-p", "pack"]) py_mods, pyi_mods, c_mods = collect_build_targets(opts, mypy_options(opts)) assert_equal(pyi_mods, []) assert_equal(c_mods, []) files = {os.path.relpath(mod.path or "FAIL") for mod in py_mods} assert_equal( files, { os.path.join("pack", "__init__.py"), os.path.join("pack", "a.py"), os.path.join("pack", "b.py"), }, ) finally: os.chdir(current) @unittest.skipIf(sys.platform == "win32", "clean up fails on Windows") def test_module_not_found(self) -> None: current = os.getcwd() captured_output = io.StringIO() sys.stdout = captured_output with tempfile.TemporaryDirectory() as tmp: try: os.chdir(tmp) self.make_file(tmp, "mymodule.py", content="import a") opts = parse_options(["-m", "mymodule"]) collect_build_targets(opts, mypy_options(opts)) assert captured_output.getvalue() == "" finally: sys.stdout = sys.__stdout__ os.chdir(current) def make_file(self, *path: str, content: str = "") -> None: file = os.path.join(*path) with open(file, "w") as f: f.write(content) def run(self, result: Any | None = None) -> Any | None: with local_sys_path_set(): return super().run(result) class StubgenCliParseSuite(unittest.TestCase): def test_walk_packages(self) -> None: with ModuleInspect() as m: assert_equal(set(walk_packages(m, ["mypy.errors"])), {"mypy.errors"}) assert_equal( set(walk_packages(m, ["mypy.errors", "mypy.stubgen"])), {"mypy.errors", "mypy.stubgen"}, ) all_mypy_packages = set(walk_packages(m, ["mypy"])) self.assertTrue( all_mypy_packages.issuperset( {"mypy", "mypy.errors", "mypy.stubgen", "mypy.test", "mypy.test.helpers"} ) ) class StubgenUtilSuite(unittest.TestCase): """Unit tests for stubgen utility functions.""" def test_parse_signature(self) -> None: self.assert_parse_signature("func()", ("func", [], [])) def test_parse_signature_with_args(self) -> None: self.assert_parse_signature("func(arg)", ("func", ["arg"], [])) self.assert_parse_signature("do(arg, arg2)", ("do", ["arg", "arg2"], [])) def test_parse_signature_with_optional_args(self) -> None: self.assert_parse_signature("func([arg])", ("func", [], ["arg"])) self.assert_parse_signature("func(arg[, arg2])", ("func", ["arg"], ["arg2"])) self.assert_parse_signature("func([arg[, arg2]])", ("func", [], ["arg", "arg2"])) def test_parse_signature_with_default_arg(self) -> None: self.assert_parse_signature("func(arg=None)", ("func", [], ["arg"])) self.assert_parse_signature("func(arg, arg2=None)", ("func", ["arg"], ["arg2"])) self.assert_parse_signature('func(arg=1, arg2="")', ("func", [], ["arg", "arg2"])) def test_parse_signature_with_qualified_function(self) -> None: self.assert_parse_signature("ClassName.func(arg)", ("func", ["arg"], [])) def test_parse_signature_with_kw_only_arg(self) -> None: self.assert_parse_signature( "ClassName.func(arg, *, arg2=1)", ("func", ["arg", "*"], ["arg2"]) ) def test_parse_signature_with_star_arg(self) -> None: self.assert_parse_signature("ClassName.func(arg, *args)", ("func", ["arg", "*args"], [])) def test_parse_signature_with_star_star_arg(self) -> None: self.assert_parse_signature("ClassName.func(arg, **args)", ("func", ["arg", "**args"], [])) def assert_parse_signature(self, sig: str, result: tuple[str, list[str], list[str]]) -> None: assert_equal(parse_signature(sig), result) def test_build_signature(self) -> None: assert_equal(build_signature([], []), "()") assert_equal(build_signature(["arg"], []), "(arg)") assert_equal(build_signature(["arg", "arg2"], []), "(arg, arg2)") assert_equal(build_signature(["arg"], ["arg2"]), "(arg, arg2=...)") assert_equal(build_signature(["arg"], ["arg2", "**x"]), "(arg, arg2=..., **x)") def test_parse_all_signatures(self) -> None: assert_equal( parse_all_signatures( [ "random text", ".. function:: fn(arg", ".. function:: fn()", " .. method:: fn2(arg)", ] ), ([("fn", "()"), ("fn2", "(arg)")], []), ) def test_find_unique_signatures(self) -> None: assert_equal( find_unique_signatures( [ ("func", "()"), ("func", "()"), ("func2", "()"), ("func2", "(arg)"), ("func3", "(arg, arg2)"), ] ), [("func", "()"), ("func3", "(arg, arg2)")], ) def test_infer_sig_from_docstring(self) -> None: assert_equal( infer_sig_from_docstring("\nfunc(x) - y", "func"), [FunctionSig(name="func", args=[ArgSig(name="x")], ret_type="Any")], ) assert_equal( infer_sig_from_docstring("\nfunc(x)", "func"), [FunctionSig(name="func", args=[ArgSig(name="x")], ret_type="Any")], ) assert_equal( infer_sig_from_docstring("\nfunc(x, Y_a=None)", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x"), ArgSig(name="Y_a", default=True)], ret_type="Any", ) ], ) assert_equal( infer_sig_from_docstring("\nfunc(x, Y_a=3)", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x"), ArgSig(name="Y_a", default=True)], ret_type="Any", ) ], ) assert_equal( infer_sig_from_docstring("\nfunc(x, Y_a=[1, 2, 3])", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x"), ArgSig(name="Y_a", default=True)], ret_type="Any", ) ], ) assert_equal(infer_sig_from_docstring("\nafunc(x) - y", "func"), []) assert_equal(infer_sig_from_docstring("\nfunc(x, y", "func"), []) assert_equal( infer_sig_from_docstring("\nfunc(x=z(y))", "func"), [FunctionSig(name="func", args=[ArgSig(name="x", default=True)], ret_type="Any")], ) assert_equal(infer_sig_from_docstring("\nfunc x", "func"), []) # Try to infer signature from type annotation. assert_equal( infer_sig_from_docstring("\nfunc(x: int)", "func"), [FunctionSig(name="func", args=[ArgSig(name="x", type="int")], ret_type="Any")], ) assert_equal( infer_sig_from_docstring("\nfunc(x: int=3)", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x", type="int", default=True)], ret_type="Any" ) ], ) assert_equal( infer_sig_from_docstring("\nfunc(x=3)", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x", type=None, default=True)], ret_type="Any" ) ], ) assert_equal( infer_sig_from_docstring("\nfunc() -> int", "func"), [FunctionSig(name="func", args=[], ret_type="int")], ) assert_equal( infer_sig_from_docstring("\nfunc(x: int=3) -> int", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x", type="int", default=True)], ret_type="int" ) ], ) assert_equal( infer_sig_from_docstring("\nfunc(x: int=3) -> int \n", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x", type="int", default=True)], ret_type="int" ) ], ) assert_equal( infer_sig_from_docstring("\nfunc(x: Tuple[int, str]) -> str", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x", type="Tuple[int,str]")], ret_type="str" ) ], ) assert_equal( infer_sig_from_docstring( "\nfunc(x: Tuple[int, Tuple[str, int], str], y: int) -> str", "func" ), [ FunctionSig( name="func", args=[ ArgSig(name="x", type="Tuple[int,Tuple[str,int],str]"), ArgSig(name="y", type="int"), ], ret_type="str", ) ], ) assert_equal( infer_sig_from_docstring("\nfunc(x: foo.bar)", "func"), [FunctionSig(name="func", args=[ArgSig(name="x", type="foo.bar")], ret_type="Any")], ) assert_equal( infer_sig_from_docstring("\nfunc(x: list=[1,2,[3,4]])", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x", type="list", default=True)], ret_type="Any" ) ], ) assert_equal( infer_sig_from_docstring('\nfunc(x: str="nasty[")', "func"), [ FunctionSig( name="func", args=[ArgSig(name="x", type="str", default=True)], ret_type="Any" ) ], ) assert_equal(infer_sig_from_docstring("\nfunc[(x: foo.bar, invalid]", "func"), []) assert_equal( infer_sig_from_docstring("\nfunc(x: invalid::type)", "func"), [FunctionSig(name="func", args=[ArgSig(name="x", type=None)], ret_type="Any")], ) assert_equal( infer_sig_from_docstring('\nfunc(x: str="")', "func"), [ FunctionSig( name="func", args=[ArgSig(name="x", type="str", default=True)], ret_type="Any" ) ], ) def test_infer_sig_from_docstring_duplicate_args(self) -> None: assert_equal( infer_sig_from_docstring("\nfunc(x, x) -> str\nfunc(x, y) -> int", "func"), [FunctionSig(name="func", args=[ArgSig(name="x"), ArgSig(name="y")], ret_type="int")], ) def test_infer_sig_from_docstring_bad_indentation(self) -> None: assert_equal( infer_sig_from_docstring( """ x x x """, "func", ), None, ) def test_infer_sig_from_docstring_args_kwargs(self) -> None: assert_equal( infer_sig_from_docstring("func(*args, **kwargs) -> int", "func"), [ FunctionSig( name="func", args=[ArgSig(name="*args"), ArgSig(name="**kwargs")], ret_type="int", ) ], ) assert_equal( infer_sig_from_docstring("func(*args) -> int", "func"), [FunctionSig(name="func", args=[ArgSig(name="*args")], ret_type="int")], ) assert_equal( infer_sig_from_docstring("func(**kwargs) -> int", "func"), [FunctionSig(name="func", args=[ArgSig(name="**kwargs")], ret_type="int")], ) @pytest.mark.xfail( raises=AssertionError, reason="Arg and kwarg signature validation not implemented yet" ) def test_infer_sig_from_docstring_args_kwargs_errors(self) -> None: # Double args assert_equal(infer_sig_from_docstring("func(*args, *args2) -> int", "func"), []) # Double kwargs assert_equal(infer_sig_from_docstring("func(**kw, **kw2) -> int", "func"), []) # args after kwargs assert_equal(infer_sig_from_docstring("func(**kwargs, *args) -> int", "func"), []) def test_infer_sig_from_docstring_positional_only_arguments(self) -> None: assert_equal( infer_sig_from_docstring("func(self, /) -> str", "func"), [FunctionSig(name="func", args=[ArgSig(name="self")], ret_type="str")], ) assert_equal( infer_sig_from_docstring("func(self, x, /) -> str", "func"), [ FunctionSig( name="func", args=[ArgSig(name="self"), ArgSig(name="x")], ret_type="str" ) ], ) assert_equal( infer_sig_from_docstring("func(x, /, y) -> int", "func"), [FunctionSig(name="func", args=[ArgSig(name="x"), ArgSig(name="y")], ret_type="int")], ) assert_equal( infer_sig_from_docstring("func(x, /, *args) -> str", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x"), ArgSig(name="*args")], ret_type="str" ) ], ) assert_equal( infer_sig_from_docstring("func(x, /, *, kwonly, **kwargs) -> str", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x"), ArgSig(name="kwonly"), ArgSig(name="**kwargs")], ret_type="str", ) ], ) def test_infer_sig_from_docstring_keyword_only_arguments(self) -> None: assert_equal( infer_sig_from_docstring("func(*, x) -> str", "func"), [FunctionSig(name="func", args=[ArgSig(name="x")], ret_type="str")], ) assert_equal( infer_sig_from_docstring("func(x, *, y) -> str", "func"), [FunctionSig(name="func", args=[ArgSig(name="x"), ArgSig(name="y")], ret_type="str")], ) assert_equal( infer_sig_from_docstring("func(*, x, y) -> str", "func"), [FunctionSig(name="func", args=[ArgSig(name="x"), ArgSig(name="y")], ret_type="str")], ) assert_equal( infer_sig_from_docstring("func(x, *, kwonly, **kwargs) -> str", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x"), ArgSig(name="kwonly"), ArgSig("**kwargs")], ret_type="str", ) ], ) def test_infer_sig_from_docstring_pos_only_and_keyword_only_arguments(self) -> None: assert_equal( infer_sig_from_docstring("func(x, /, *, y) -> str", "func"), [FunctionSig(name="func", args=[ArgSig(name="x"), ArgSig(name="y")], ret_type="str")], ) assert_equal( infer_sig_from_docstring("func(x, /, y, *, z) -> str", "func"), [ FunctionSig( name="func", args=[ArgSig(name="x"), ArgSig(name="y"), ArgSig(name="z")], ret_type="str", ) ], ) assert_equal( infer_sig_from_docstring("func(x, /, y, *, z, **kwargs) -> str", "func"), [ FunctionSig( name="func", args=[ ArgSig(name="x"), ArgSig(name="y"), ArgSig(name="z"), ArgSig("**kwargs"), ], ret_type="str", ) ], ) def test_infer_sig_from_docstring_pos_only_and_keyword_only_arguments_errors(self) -> None: # / as first argument assert_equal(infer_sig_from_docstring("func(/, x) -> str", "func"), []) # * as last argument assert_equal(infer_sig_from_docstring("func(x, *) -> str", "func"), []) # / after * assert_equal(infer_sig_from_docstring("func(x, *, /, y) -> str", "func"), []) # Two / assert_equal(infer_sig_from_docstring("func(x, /, /, *, y) -> str", "func"), []) assert_equal(infer_sig_from_docstring("func(x, /, y, /, *, z) -> str", "func"), []) # Two * assert_equal(infer_sig_from_docstring("func(x, /, *, *, y) -> str", "func"), []) assert_equal(infer_sig_from_docstring("func(x, /, *, y, *, z) -> str", "func"), []) # *args and * are not allowed assert_equal(infer_sig_from_docstring("func(*args, *, kwonly) -> str", "func"), []) def test_infer_arg_sig_from_anon_docstring(self) -> None: assert_equal( infer_arg_sig_from_anon_docstring("(*args, **kwargs)"), [ArgSig(name="*args"), ArgSig(name="**kwargs")], ) assert_equal( infer_arg_sig_from_anon_docstring( "(x: Tuple[int, Tuple[str, int], str]=(1, ('a', 2), 'y'), y: int=4)" ), [ ArgSig(name="x", type="Tuple[int,Tuple[str,int],str]", default=True), ArgSig(name="y", type="int", default=True), ], ) def test_infer_prop_type_from_docstring(self) -> None: assert_equal(infer_prop_type_from_docstring("str: A string."), "str") assert_equal(infer_prop_type_from_docstring("Optional[int]: An int."), "Optional[int]") assert_equal( infer_prop_type_from_docstring("Tuple[int, int]: A tuple."), "Tuple[int, int]" ) assert_equal(infer_prop_type_from_docstring("\nstr: A string."), None) def test_infer_sig_from_docstring_square_brackets(self) -> None: assert ( infer_sig_from_docstring("fetch_row([maxrows, how]) -- Fetches stuff", "fetch_row") == [] ) def test_remove_misplaced_type_comments_1(self) -> None: good = """ \u1234 def f(x): # type: (int) -> int def g(x): # type: (int) -> int def h(): # type: () int x = 1 # type: int """ assert_equal(remove_misplaced_type_comments(good), good) def test_remove_misplaced_type_comments_2(self) -> None: bad = """ def f(x): # type: Callable[[int], int] pass # type: "foo" # type: 'bar' x = 1 # type: int """ bad_fixed = """ def f(x): pass x = 1 """ assert_equal(remove_misplaced_type_comments(bad), bad_fixed) def test_remove_misplaced_type_comments_3(self) -> None: bad = ''' def f(x): """docstring""" # type: (int) -> int pass def g(x): """docstring """ # type: (int) -> int pass ''' bad_fixed = ''' def f(x): """docstring""" pass def g(x): """docstring """ pass ''' assert_equal(remove_misplaced_type_comments(bad), bad_fixed) def test_remove_misplaced_type_comments_4(self) -> None: bad = """ def f(x): '''docstring''' # type: (int) -> int pass def g(x): '''docstring ''' # type: (int) -> int pass """ bad_fixed = """ def f(x): '''docstring''' pass def g(x): '''docstring ''' pass """ assert_equal(remove_misplaced_type_comments(bad), bad_fixed) def test_remove_misplaced_type_comments_5(self) -> None: bad = """ def f(x): # type: (int, List[Any], # float, bool) -> int pass def g(x): # type: (int, List[Any]) pass """ bad_fixed = """ def f(x): # float, bool) -> int pass def g(x): pass """ assert_equal(remove_misplaced_type_comments(bad), bad_fixed) def test_remove_misplaced_type_comments_bytes(self) -> None: original = b""" \xbf def f(x): # type: (int) -> int def g(x): # type: (int) -> int pass def h(): # type: int pass x = 1 # type: int """ dest = b""" \xbf def f(x): # type: (int) -> int def g(x): # type: (int) -> int pass def h(): pass x = 1 # type: int """ assert_equal(remove_misplaced_type_comments(original), dest) @unittest.skipIf(sys.platform == "win32", "Tests building the paths common ancestor on *nix") def test_common_dir_prefix_unix(self) -> None: assert common_dir_prefix([]) == "." assert common_dir_prefix(["x.pyi"]) == "." assert common_dir_prefix(["./x.pyi"]) == "." assert common_dir_prefix(["foo/bar/x.pyi"]) == "foo/bar" assert common_dir_prefix(["foo/bar/x.pyi", "foo/bar/y.pyi"]) == "foo/bar" assert common_dir_prefix(["foo/bar/x.pyi", "foo/y.pyi"]) == "foo" assert common_dir_prefix(["foo/x.pyi", "foo/bar/y.pyi"]) == "foo" assert common_dir_prefix(["foo/bar/zar/x.pyi", "foo/y.pyi"]) == "foo" assert common_dir_prefix(["foo/x.pyi", "foo/bar/zar/y.pyi"]) == "foo" assert common_dir_prefix(["foo/bar/zar/x.pyi", "foo/bar/y.pyi"]) == "foo/bar" assert common_dir_prefix(["foo/bar/x.pyi", "foo/bar/zar/y.pyi"]) == "foo/bar" assert common_dir_prefix([r"foo/bar\x.pyi"]) == "foo" assert common_dir_prefix([r"foo\bar/x.pyi"]) == r"foo\bar" @unittest.skipIf( sys.platform != "win32", "Tests building the paths common ancestor on Windows" ) def test_common_dir_prefix_win(self) -> None: assert common_dir_prefix(["x.pyi"]) == "." assert common_dir_prefix([r".\x.pyi"]) == "." assert common_dir_prefix([r"foo\bar\x.pyi"]) == r"foo\bar" assert common_dir_prefix([r"foo\bar\x.pyi", r"foo\bar\y.pyi"]) == r"foo\bar" assert common_dir_prefix([r"foo\bar\x.pyi", r"foo\y.pyi"]) == "foo" assert common_dir_prefix([r"foo\x.pyi", r"foo\bar\y.pyi"]) == "foo" assert common_dir_prefix([r"foo\bar\zar\x.pyi", r"foo\y.pyi"]) == "foo" assert common_dir_prefix([r"foo\x.pyi", r"foo\bar\zar\y.pyi"]) == "foo" assert common_dir_prefix([r"foo\bar\zar\x.pyi", r"foo\bar\y.pyi"]) == r"foo\bar" assert common_dir_prefix([r"foo\bar\x.pyi", r"foo\bar\zar\y.pyi"]) == r"foo\bar" assert common_dir_prefix([r"foo/bar\x.pyi"]) == r"foo\bar" assert common_dir_prefix([r"foo\bar/x.pyi"]) == r"foo\bar" assert common_dir_prefix([r"foo/bar/x.pyi"]) == r"foo\bar" def test_function_context_nested_classes(self) -> None: ctx = FunctionContext( module_name="spangle", name="foo", class_info=ClassInfo( name="Nested", self_var="self", parent=ClassInfo(name="Parent", self_var="self") ), ) assert ctx.fullname == "spangle.Parent.Nested.foo" class StubgenHelpersSuite(unittest.TestCase): def test_is_blacklisted_path(self) -> None: assert not is_blacklisted_path("foo/bar.py") assert not is_blacklisted_path("foo.py") assert not is_blacklisted_path("foo/xvendor/bar.py") assert not is_blacklisted_path("foo/vendorx/bar.py") assert is_blacklisted_path("foo/vendor/bar.py") assert is_blacklisted_path("foo/vendored/bar.py") assert is_blacklisted_path("foo/vendored/bar/thing.py") assert is_blacklisted_path("foo/six.py") def test_is_non_library_module(self) -> None: assert not is_non_library_module("foo") assert not is_non_library_module("foo.bar") # The following could be test modules, but we are very conservative and # don't treat them as such since they could plausibly be real modules. assert not is_non_library_module("foo.bartest") assert not is_non_library_module("foo.bartests") assert not is_non_library_module("foo.testbar") assert is_non_library_module("foo.test") assert is_non_library_module("foo.test.foo") assert is_non_library_module("foo.tests") assert is_non_library_module("foo.tests.foo") assert is_non_library_module("foo.testing.foo") assert is_non_library_module("foo.SelfTest.foo") assert is_non_library_module("foo.test_bar") assert is_non_library_module("foo.bar_tests") assert is_non_library_module("foo.testing") assert is_non_library_module("foo.conftest") assert is_non_library_module("foo.bar_test_util") assert is_non_library_module("foo.bar_test_utils") assert is_non_library_module("foo.bar_test_base") assert is_non_library_module("foo.setup") assert is_non_library_module("foo.__main__") class StubgenPythonSuite(DataSuite): """Data-driven end-to-end test cases that generate stub files. You can use these magic test case name suffixes: *_semanal Run semantic analysis (slow as this uses real stubs -- only use when necessary) *_import Import module and perform runtime introspection (in the current process!) You can use these magic comments: # flags: --some-stubgen-option ... Specify custom stubgen options # modules: module1 module2 ... Specify which modules to output (by default only 'main') """ required_out_section = True base_path = "." files = ["stubgen.test"] @unittest.skipIf(sys.platform == "win32", "clean up fails on Windows") def run_case(self, testcase: DataDrivenTestCase) -> None: with local_sys_path_set(): self.run_case_inner(testcase) def run_case_inner(self, testcase: DataDrivenTestCase) -> None: extra = [] # Extra command-line args mods = [] # Module names to process source = "\n".join(testcase.input) for file, content in testcase.files + [("./main.py", source)]: # Strip ./ prefix and .py suffix. mod = file[2:-3].replace("/", ".") if mod.endswith(".__init__"): mod, _, _ = mod.rpartition(".") mods.append(mod) if "-p " not in source: extra.extend(["-m", mod]) with open(file, "w") as f: f.write(content) options = self.parse_flags(source, extra) if sys.version_info < options.pyversion: pytest.skip() modules = self.parse_modules(source) out_dir = "out" try: try: if testcase.name.endswith("_inspect"): options.inspect = True else: if not testcase.name.endswith("_import"): options.no_import = True if not testcase.name.endswith("_semanal"): options.parse_only = True generate_stubs(options) a: list[str] = [] for module in modules: fnam = module_to_path(out_dir, module) self.add_file(fnam, a, header=len(modules) > 1) except CompileError as e: a = e.messages assert_string_arrays_equal( testcase.output, a, f"Invalid output ({testcase.file}, line {testcase.line})" ) finally: for mod in mods: if mod in sys.modules: del sys.modules[mod] shutil.rmtree(out_dir) def parse_flags(self, program_text: str, extra: list[str]) -> Options: flags = re.search("# flags: (.*)$", program_text, flags=re.MULTILINE) pyversion = None if flags: flag_list = flags.group(1).split() for i, flag in enumerate(flag_list): if flag.startswith("--python-version="): pyversion = flag.split("=", 1)[1] del flag_list[i] break else: flag_list = [] options = parse_options(flag_list + extra) if pyversion: # A hack to allow testing old python versions with new language constructs # This should be rarely used in general as stubgen output should not be version-specific major, minor = pyversion.split(".", 1) options.pyversion = (int(major), int(minor)) if "--verbose" not in flag_list: options.quiet = True else: options.verbose = True return options def parse_modules(self, program_text: str) -> list[str]: modules = re.search("# modules: (.*)$", program_text, flags=re.MULTILINE) if modules: return modules.group(1).split() else: return ["main"] def add_file(self, path: str, result: list[str], header: bool) -> None: if not os.path.exists(path): result.append("<%s was not generated>" % path.replace("\\", "/")) return if header: result.append(f"# {path[4:]}") with open(path, encoding="utf8") as file: result.extend(file.read().splitlines()) self_arg = ArgSig(name="self") class TestBaseClass: pass class TestClass(TestBaseClass): pass class StubgencSuite(unittest.TestCase): """Unit tests for stub generation from C modules using introspection. Note that these don't cover a lot! """ def test_infer_hash_sig(self) -> None: assert_equal(infer_c_method_args("__hash__"), [self_arg]) assert_equal(infer_method_ret_type("__hash__"), "int") def test_infer_getitem_sig(self) -> None: assert_equal(infer_c_method_args("__getitem__"), [self_arg, ArgSig(name="index")]) def test_infer_setitem_sig(self) -> None: assert_equal( infer_c_method_args("__setitem__"), [self_arg, ArgSig(name="index"), ArgSig(name="object")], ) assert_equal(infer_method_ret_type("__setitem__"), "None") def test_infer_eq_op_sig(self) -> None: for op in ("eq", "ne", "lt", "le", "gt", "ge"): assert_equal( infer_c_method_args(f"__{op}__"), [self_arg, ArgSig(name="other", type="object")] ) def test_infer_binary_op_sig(self) -> None: for op in ("add", "radd", "sub", "rsub", "mul", "rmul"): assert_equal(infer_c_method_args(f"__{op}__"), [self_arg, ArgSig(name="other")]) def test_infer_equality_op_sig(self) -> None: for op in ("eq", "ne", "lt", "le", "gt", "ge", "contains"): assert_equal(infer_method_ret_type(f"__{op}__"), "bool") def test_infer_unary_op_sig(self) -> None: for op in ("neg", "pos"): assert_equal(infer_c_method_args(f"__{op}__"), [self_arg]) def test_infer_cast_sig(self) -> None: for op in ("float", "bool", "bytes", "int"): assert_equal(infer_method_ret_type(f"__{op}__"), op) def test_generate_class_stub_no_crash_for_object(self) -> None: output: list[str] = [] mod = ModuleType("module", "") # any module is fine gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_class_stub("alias", object, output) assert_equal(gen.get_imports().splitlines(), []) assert_equal(output[0], "class alias:") def test_generate_class_stub_variable_type_annotation(self) -> None: # This class mimics the stubgen unit test 'testClassVariable' class TestClassVariableCls: x = 1 output: list[str] = [] mod = ModuleType("module", "") # any module is fine gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_class_stub("C", TestClassVariableCls, output) assert_equal(gen.get_imports().splitlines(), ["from typing import ClassVar"]) assert_equal(output, ["class C:", " x: ClassVar[int] = ..."]) def test_generate_c_type_none_default(self) -> None: class TestClass: def test(self, arg0=1, arg1=None) -> None: # type: ignore[no-untyped-def] pass output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.is_c_module = False gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo( self_var="self", cls=TestClass, name="TestClass", docstring=getattr(TestClass, "__doc__", None), ), ) assert_equal( output, ["def test(self, arg0: int = ..., arg1: Incomplete | None = ...) -> None: ..."] ) def test_non_c_generate_signature_with_kw_only_args(self) -> None: class TestClass: def test( self, arg0: str, *, keyword_only: str, keyword_only_with_default: int = 7 ) -> None: pass output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.is_c_module = False gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo( self_var="self", cls=TestClass, name="TestClass", docstring=getattr(TestClass, "__doc__", None), ), ) assert_equal( output, [ "def test(self, arg0: str, *, keyword_only: str, keyword_only_with_default: int = ...) -> None: ..." ], ) def test_generate_c_type_inheritance(self) -> None: class TestClass(KeyError): pass output: list[str] = [] mod = ModuleType("module, ") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_class_stub("C", TestClass, output) assert_equal(output, ["class C(KeyError): ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_inheritance_same_module(self) -> None: output: list[str] = [] mod = ModuleType(TestBaseClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_class_stub("C", TestClass, output) assert_equal(output, ["class C(TestBaseClass): ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_inheritance_other_module(self) -> None: import argparse class TestClass(argparse.Action): pass output: list[str] = [] mod = ModuleType("module", "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_class_stub("C", TestClass, output) assert_equal(output, ["class C(argparse.Action): ..."]) assert_equal(gen.get_imports().splitlines(), ["import argparse"]) def test_generate_c_type_inheritance_builtin_type(self) -> None: class TestClass(type): pass output: list[str] = [] mod = ModuleType("module", "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_class_stub("C", TestClass, output) assert_equal(output, ["class C(type): ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_with_docstring(self) -> None: class TestClass: def test(self, arg0: str) -> None: """ test(self: TestClass, arg0: int) """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal(output, ["def test(self, arg0: int) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_with_docstring_no_self_arg(self) -> None: class TestClass: def test(self, arg0: str) -> None: """ test(arg0: int) """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal(output, ["def test(self, arg0: int) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_classmethod(self) -> None: class TestClass: @classmethod def test(cls, arg0: str) -> None: pass output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="cls", cls=TestClass, name="TestClass"), ) assert_equal(output, ["@classmethod", "def test(cls, *args, **kwargs): ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_classmethod_with_overloads(self) -> None: class TestClass: @classmethod def test(cls, arg0: str) -> None: """ test(cls, arg0: str) test(cls, arg0: int) """ pass output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="cls", cls=TestClass, name="TestClass"), ) assert_equal( output, [ "@overload", "@classmethod", "def test(cls, arg0: str) -> Any: ...", "@overload", "@classmethod", "def test(cls, arg0: int) -> Any: ...", ], ) assert_equal(gen.get_imports().splitlines(), ["from typing import overload"]) def test_generate_c_type_with_docstring_empty_default(self) -> None: class TestClass: def test(self, arg0: str = "") -> None: """ test(self: TestClass, arg0: str = "") """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal(output, ["def test(self, arg0: str = ...) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_function_other_module_arg(self) -> None: """Test that if argument references type from other module, module will be imported.""" # Provide different type in python spec than in docstring to make sure, that docstring # information is used. def test(arg0: str) -> None: """ test(arg0: argparse.Action) """ output: list[str] = [] mod = ModuleType(self.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub("test", test, output=output) assert_equal(output, ["def test(arg0: argparse.Action) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), ["import argparse"]) def test_generate_c_function_same_module(self) -> None: """Test that if annotation references type from same module but using full path, no module will be imported, and type specification will be striped to local reference. """ # Provide different type in python spec than in docstring to make sure, that docstring # information is used. def test(arg0: str) -> None: """ test(arg0: argparse.Action) -> argparse.Action """ output: list[str] = [] mod = ModuleType("argparse", "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub("test", test, output=output) assert_equal(output, ["def test(arg0: Action) -> Action: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_function_other_module(self) -> None: """Test that if annotation references type from other module, module will be imported.""" def test(arg0: str) -> None: """ test(arg0: argparse.Action) -> argparse.Action """ output: list[str] = [] mod = ModuleType(self.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub("test", test, output=output) assert_equal(output, ["def test(arg0: argparse.Action) -> argparse.Action: ..."]) assert_equal(gen.get_imports().splitlines(), ["import argparse"]) def test_generate_c_function_same_module_nested(self) -> None: """Test that if annotation references type from same module but using full path, no module will be imported, and type specification will be stripped to local reference. """ # Provide different type in python spec than in docstring to make sure, that docstring # information is used. def test(arg0: str) -> None: """ test(arg0: list[argparse.Action]) -> list[argparse.Action] """ output: list[str] = [] mod = ModuleType("argparse", "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub("test", test, output=output) assert_equal(output, ["def test(arg0: list[Action]) -> list[Action]: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_function_same_module_compound(self) -> None: """Test that if annotation references type from same module but using full path, no module will be imported, and type specification will be stripped to local reference. """ # Provide different type in python spec than in docstring to make sure, that docstring # information is used. def test(arg0: str) -> None: """ test(arg0: Union[argparse.Action, NoneType]) -> Tuple[argparse.Action, NoneType] """ output: list[str] = [] mod = ModuleType("argparse", "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub("test", test, output=output) assert_equal(output, ["def test(arg0: Union[Action, None]) -> Tuple[Action, None]: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_function_other_module_nested(self) -> None: """Test that if annotation references type from other module, module will be imported, and the import will be restricted to one of the known modules.""" def test(arg0: str) -> None: """ test(arg0: foo.bar.Action) -> other.Thing """ output: list[str] = [] mod = ModuleType(self.__module__, "") gen = InspectionStubGenerator( mod.__name__, known_modules=["foo", "foo.spangle", "bar"], module=mod ) gen.generate_function_stub("test", test, output=output) assert_equal(output, ["def test(arg0: foo.bar.Action) -> other.Thing: ..."]) assert_equal(gen.get_imports().splitlines(), ["import foo", "import other"]) def test_generate_c_function_no_crash_for_non_str_docstring(self) -> None: def test(arg0: str) -> None: ... test.__doc__ = property(lambda self: "test(arg0: str) -> None") # type: ignore[assignment] output: list[str] = [] mod = ModuleType(self.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub("test", test, output=output) assert_equal(output, ["def test(*args, **kwargs): ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_property_with_pybind11(self) -> None: """Signatures included by PyBind11 inside property.fget are read.""" class TestClass: def get_attribute(self) -> None: """ (self: TestClass) -> str """ attribute = property(get_attribute, doc="") readwrite_properties: list[str] = [] readonly_properties: list[str] = [] mod = ModuleType("module", "") # any module is fine gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_property_stub( "attribute", TestClass.__dict__["attribute"], TestClass.attribute, [], readwrite_properties, readonly_properties, ) assert_equal(readwrite_properties, []) assert_equal(readonly_properties, ["@property", "def attribute(self) -> str: ..."]) def test_generate_c_property_with_rw_property(self) -> None: class TestClass: def __init__(self) -> None: self._attribute = 0 @property def attribute(self) -> int: return self._attribute @attribute.setter def attribute(self, value: int) -> None: self._attribute = value readwrite_properties: list[str] = [] readonly_properties: list[str] = [] mod = ModuleType("module", "") # any module is fine gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_property_stub( "attribute", TestClass.__dict__["attribute"], TestClass.attribute, [], readwrite_properties, readonly_properties, ) assert_equal(readwrite_properties, ["attribute: Incomplete"]) assert_equal(readonly_properties, []) def test_generate_c_type_with_single_arg_generic(self) -> None: class TestClass: def test(self, arg0: str) -> None: """ test(self: TestClass, arg0: List[int]) """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal(output, ["def test(self, arg0: List[int]) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_with_double_arg_generic(self) -> None: class TestClass: def test(self, arg0: str) -> None: """ test(self: TestClass, arg0: Dict[str, int]) """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal(output, ["def test(self, arg0: Dict[str, int]) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_with_nested_generic(self) -> None: class TestClass: def test(self, arg0: str) -> None: """ test(self: TestClass, arg0: Dict[str, List[int]]) """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal(output, ["def test(self, arg0: Dict[str, List[int]]) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), []) def test_generate_c_type_with_generic_using_other_module_first(self) -> None: class TestClass: def test(self, arg0: str) -> None: """ test(self: TestClass, arg0: Dict[argparse.Action, int]) """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal(output, ["def test(self, arg0: Dict[argparse.Action, int]) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), ["import argparse"]) def test_generate_c_type_with_generic_using_other_module_last(self) -> None: class TestClass: def test(self, arg0: str) -> None: """ test(self: TestClass, arg0: Dict[str, argparse.Action]) """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "test", TestClass.test, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal(output, ["def test(self, arg0: Dict[str, argparse.Action]) -> Any: ..."]) assert_equal(gen.get_imports().splitlines(), ["import argparse"]) def test_generate_c_type_with_overload_pybind11(self) -> None: class TestClass: def __init__(self, arg0: str) -> None: """ __init__(*args, **kwargs) Overloaded function. 1. __init__(self: TestClass, arg0: str) -> None 2. __init__(self: TestClass, arg0: str, arg1: str) -> None """ output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "__init__", TestClass.__init__, output=output, class_info=ClassInfo(self_var="self", cls=TestClass, name="TestClass"), ) assert_equal( output, [ "@overload", "def __init__(self, arg0: str) -> None: ...", "@overload", "def __init__(self, arg0: str, arg1: str) -> None: ...", "@overload", "def __init__(self, *args, **kwargs) -> Any: ...", ], ) assert_equal(gen.get_imports().splitlines(), ["from typing import overload"]) def test_generate_c_type_with_overload_shiboken(self) -> None: class TestClass: """ TestClass(self: TestClass, arg0: str) -> None TestClass(self: TestClass, arg0: str, arg1: str) -> None """ def __init__(self, arg0: str) -> None: pass output: list[str] = [] mod = ModuleType(TestClass.__module__, "") gen = InspectionStubGenerator(mod.__name__, known_modules=[mod.__name__], module=mod) gen.generate_function_stub( "__init__", TestClass.__init__, output=output, class_info=ClassInfo( self_var="self", cls=TestClass, name="TestClass", docstring=getattr(TestClass, "__doc__", None), ), ) assert_equal( output, [ "@overload", "def __init__(self, arg0: str) -> None: ...", "@overload", "def __init__(self, arg0: str, arg1: str) -> None: ...", ], ) assert_equal(gen.get_imports().splitlines(), ["from typing import overload"]) class ArgSigSuite(unittest.TestCase): def test_repr(self) -> None: assert_equal( repr(ArgSig(name='asd"dsa')), "ArgSig(name='asd\"dsa', type=None, default=False)" ) assert_equal( repr(ArgSig(name="asd'dsa")), 'ArgSig(name="asd\'dsa", type=None, default=False)' ) assert_equal(repr(ArgSig("func", "str")), "ArgSig(name='func', type='str', default=False)") assert_equal( repr(ArgSig("func", "str", default=True)), "ArgSig(name='func', type='str', default=True)", ) class IsValidTypeSuite(unittest.TestCase): def test_is_valid_type(self) -> None: assert is_valid_type("int") assert is_valid_type("str") assert is_valid_type("Foo_Bar234") assert is_valid_type("foo.bar") assert is_valid_type("List[int]") assert is_valid_type("Dict[str, int]") assert is_valid_type("None") assert is_valid_type("Literal[26]") assert is_valid_type("Literal[0x1A]") assert is_valid_type('Literal["hello world"]') assert is_valid_type('Literal[b"hello world"]') assert is_valid_type('Literal[u"hello world"]') assert is_valid_type("Literal[True]") assert is_valid_type("Literal[Color.RED]") assert is_valid_type("Literal[None]") assert is_valid_type("str | int") assert is_valid_type("dict[str, int] | int") assert is_valid_type("tuple[str, ...]") assert is_valid_type( 'Literal[26, 0x1A, "hello world", b"hello world", u"hello world", True, Color.RED, None]' ) assert not is_valid_type("foo-bar") assert not is_valid_type("x->y") assert not is_valid_type("True") assert not is_valid_type("False") assert not is_valid_type("x,y") assert not is_valid_type("x, y") class ModuleInspectSuite(unittest.TestCase): def test_python_module(self) -> None: with ModuleInspect() as m: p = m.get_package_properties("inspect") assert p is not None assert p.name == "inspect" assert p.file assert p.path is None assert p.is_c_module is False assert p.subpackages == [] def test_python_package(self) -> None: with ModuleInspect() as m: p = m.get_package_properties("unittest") assert p is not None assert p.name == "unittest" assert p.file assert p.path assert p.is_c_module is False assert p.subpackages assert all(sub.startswith("unittest.") for sub in p.subpackages) def test_c_module(self) -> None: with ModuleInspect() as m: p = m.get_package_properties("_socket") assert p is not None assert p.name == "_socket" assert p.path is None assert p.is_c_module is True assert p.subpackages == [] def test_non_existent(self) -> None: with ModuleInspect() as m: with self.assertRaises(InspectError) as e: m.get_package_properties("foobar-non-existent") assert str(e.exception) == "No module named 'foobar-non-existent'" def module_to_path(out_dir: str, module: str) -> str: fnam = os.path.join(out_dir, f"{module.replace('.', '/')}.pyi") if not os.path.exists(fnam): alt_fnam = fnam.replace(".pyi", "/__init__.pyi") if os.path.exists(alt_fnam): return alt_fnam return fnam ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/teststubinfo.py0000644000175100017510000000306315112307767017341 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypy.stubinfo import ( is_module_from_legacy_bundled_package, legacy_bundled_packages, non_bundled_packages_flat, stub_distribution_name, ) class TestStubInfo(unittest.TestCase): def test_is_legacy_bundled_packages(self) -> None: assert not is_module_from_legacy_bundled_package("foobar_asdf") assert not is_module_from_legacy_bundled_package("PIL") assert is_module_from_legacy_bundled_package("pycurl") assert is_module_from_legacy_bundled_package("dateparser") def test_stub_distribution_name(self) -> None: assert stub_distribution_name("foobar_asdf") is None assert stub_distribution_name("pycurl") == "types-pycurl" assert stub_distribution_name("psutil") == "types-psutil" assert stub_distribution_name("sassutils") == "types-libsass" assert stub_distribution_name("google.cloud.ndb") == "types-google-cloud-ndb" assert stub_distribution_name("google.cloud.ndb.submodule") == "types-google-cloud-ndb" assert stub_distribution_name("google.cloud.unknown") is None assert stub_distribution_name("google.protobuf") == "types-protobuf" assert stub_distribution_name("google.protobuf.submodule") == "types-protobuf" assert stub_distribution_name("google") is None def test_period_in_top_level(self) -> None: for packages in (non_bundled_packages_flat, legacy_bundled_packages): for top_level_module in packages: assert "." not in top_level_module ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/teststubtest.py0000644000175100017510000026642115112307767017376 0ustar00runnerrunnerfrom __future__ import annotations import contextlib import inspect import io import os import re import sys import tempfile import textwrap import unittest from collections.abc import Iterator from typing import Any, Callable from pytest import raises import mypy.stubtest from mypy import build, nodes from mypy.modulefinder import BuildSource from mypy.options import Options from mypy.stubtest import parse_options, test_stubs from mypy.test.config import test_temp_dir from mypy.test.data import root_dir @contextlib.contextmanager def use_tmp_dir(mod_name: str) -> Iterator[str]: current = os.getcwd() current_syspath = sys.path.copy() with tempfile.TemporaryDirectory() as tmp: try: os.chdir(tmp) if sys.path[0] != tmp: sys.path.insert(0, tmp) yield tmp finally: sys.path = current_syspath.copy() if mod_name in sys.modules: del sys.modules[mod_name] os.chdir(current) TEST_MODULE_NAME = "test_module" stubtest_typing_stub = """ Any = object() class _SpecialForm: def __getitem__(self, typeargs: Any) -> object: ... Callable: _SpecialForm = ... Generic: _SpecialForm = ... Protocol: _SpecialForm = ... Union: _SpecialForm = ... ClassVar: _SpecialForm = ... Final = 0 Literal = 0 TypedDict = 0 class TypeVar: def __init__(self, name, covariant: bool = ..., contravariant: bool = ...) -> None: ... class ParamSpec: def __init__(self, name: str) -> None: ... AnyStr = TypeVar("AnyStr", str, bytes) _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _K = TypeVar("_K") _V = TypeVar("_V") _S = TypeVar("_S", contravariant=True) _R = TypeVar("_R", covariant=True) class Coroutine(Generic[_T_co, _S, _R]): ... class Iterable(Generic[_T_co]): ... class Iterator(Iterable[_T_co]): ... class Mapping(Generic[_K, _V]): ... class Match(Generic[AnyStr]): ... class Sequence(Iterable[_T_co]): ... class Tuple(Sequence[_T_co]): ... class NamedTuple(tuple[Any, ...]): ... class _TypedDict(Mapping[str, object]): __required_keys__: ClassVar[frozenset[str]] __optional_keys__: ClassVar[frozenset[str]] __total__: ClassVar[bool] __readonly_keys__: ClassVar[frozenset[str]] __mutable_keys__: ClassVar[frozenset[str]] __closed__: ClassVar[bool | None] __extra_items__: ClassVar[Any] def overload(func: _T) -> _T: ... def type_check_only(func: _T) -> _T: ... def final(func: _T) -> _T: ... """ stubtest_builtins_stub = """ from typing import Generic, Mapping, Sequence, TypeVar, overload T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) KT = TypeVar('KT') VT = TypeVar('VT') class object: __module__: str def __init__(self) -> None: pass def __repr__(self) -> str: pass class type: ... class tuple(Sequence[T_co], Generic[T_co]): def __ge__(self, __other: tuple[T_co, ...]) -> bool: pass class dict(Mapping[KT, VT]): ... class frozenset(Generic[T]): ... class function: pass class ellipsis: pass class int: ... class float: ... class bool(int): ... class str: ... class bytes: ... class list(Sequence[T]): ... def property(f: T) -> T: ... def classmethod(f: T) -> T: ... def staticmethod(f: T) -> T: ... """ stubtest_enum_stub = """ import sys from typing import Any, TypeVar, Iterator _T = TypeVar('_T') class EnumMeta(type): def __len__(self) -> int: pass def __iter__(self: type[_T]) -> Iterator[_T]: pass def __reversed__(self: type[_T]) -> Iterator[_T]: pass def __getitem__(self: type[_T], name: str) -> _T: pass class Enum(metaclass=EnumMeta): def __new__(cls: type[_T], value: object) -> _T: pass def __repr__(self) -> str: pass def __str__(self) -> str: pass def __format__(self, format_spec: str) -> str: pass def __hash__(self) -> Any: pass def __reduce_ex__(self, proto: Any) -> Any: pass name: str value: Any class Flag(Enum): def __or__(self: _T, other: _T) -> _T: pass def __and__(self: _T, other: _T) -> _T: pass def __xor__(self: _T, other: _T) -> _T: pass def __invert__(self: _T) -> _T: pass if sys.version_info >= (3, 11): __ror__ = __or__ __rand__ = __and__ __rxor__ = __xor__ """ def build_helper(source: str) -> build.BuildResult: return build.build( sources=[BuildSource("main.pyi", None, textwrap.dedent(source))], options=Options(), alt_lib_path=test_temp_dir, ) def run_stubtest_with_stderr( stub: str, runtime: str, options: list[str], config_file: str | None = None, output: io.StringIO | None = None, outerr: io.StringIO | None = None, ) -> tuple[str, str]: with use_tmp_dir(TEST_MODULE_NAME) as tmp_dir: with open("builtins.pyi", "w") as f: f.write(stubtest_builtins_stub) with open("typing.pyi", "w") as f: f.write(stubtest_typing_stub) with open("enum.pyi", "w") as f: f.write(stubtest_enum_stub) with open(f"{TEST_MODULE_NAME}.pyi", "w") as f: f.write(stub) with open(f"{TEST_MODULE_NAME}.py", "w") as f: f.write(runtime) if config_file: with open(f"{TEST_MODULE_NAME}_config.ini", "w") as f: f.write(config_file) options = options + ["--mypy-config-file", f"{TEST_MODULE_NAME}_config.ini"] output = io.StringIO() if output is None else output outerr = io.StringIO() if outerr is None else outerr with contextlib.redirect_stdout(output), contextlib.redirect_stderr(outerr): test_stubs(parse_options([TEST_MODULE_NAME] + options), use_builtins_fixtures=True) filtered_output = remove_color_code( output.getvalue() # remove cwd as it's not available from outside .replace(os.path.realpath(tmp_dir) + os.sep, "").replace(tmp_dir + os.sep, "") ) filtered_outerr = remove_color_code( outerr.getvalue() # remove cwd as it's not available from outside .replace(os.path.realpath(tmp_dir) + os.sep, "").replace(tmp_dir + os.sep, "") ) return filtered_output, filtered_outerr def run_stubtest( stub: str, runtime: str, options: list[str], config_file: str | None = None ) -> str: return run_stubtest_with_stderr(stub, runtime, options, config_file)[0] class Case: def __init__(self, stub: str, runtime: str, error: str | None) -> None: self.stub = stub self.runtime = runtime self.error = error def collect_cases(fn: Callable[..., Iterator[Case]]) -> Callable[..., None]: """run_stubtest used to be slow, so we used this decorator to combine cases. If you're reading this and bored, feel free to refactor this and make it more like other mypy tests. """ def test(*args: Any, **kwargs: Any) -> None: cases = list(fn(*args, **kwargs)) expected_errors = set() for c in cases: if c.error is None: continue expected_error = c.error if expected_error == "": expected_error = TEST_MODULE_NAME elif not expected_error.startswith(f"{TEST_MODULE_NAME}."): expected_error = f"{TEST_MODULE_NAME}.{expected_error}" assert expected_error not in expected_errors, ( "collect_cases merges cases into a single stubtest invocation; we already " "expect an error for {}".format(expected_error) ) expected_errors.add(expected_error) output = run_stubtest( stub="\n\n".join(textwrap.dedent(c.stub.lstrip("\n")) for c in cases), runtime="\n\n".join(textwrap.dedent(c.runtime.lstrip("\n")) for c in cases), options=["--generate-allowlist"], ) actual_errors = set(output.splitlines()) if actual_errors != expected_errors: output = run_stubtest( stub="\n\n".join(textwrap.dedent(c.stub.lstrip("\n")) for c in cases), runtime="\n\n".join(textwrap.dedent(c.runtime.lstrip("\n")) for c in cases), options=[], ) assert actual_errors == expected_errors, output return test class StubtestUnit(unittest.TestCase): @collect_cases def test_basic_good(self) -> Iterator[Case]: yield Case( stub="def f(number: int, text: str) -> None: ...", runtime="def f(number, text): pass", error=None, ) yield Case( stub=""" class X: def f(self, number: int, text: str) -> None: ... """, runtime=""" class X: def f(self, number, text): pass """, error=None, ) @collect_cases def test_types(self) -> Iterator[Case]: yield Case( stub="def mistyped_class() -> None: ...", runtime="class mistyped_class: pass", error="mistyped_class", ) yield Case( stub="class mistyped_fn: ...", runtime="def mistyped_fn(): pass", error="mistyped_fn" ) yield Case( stub=""" class X: def mistyped_var(self) -> int: ... """, runtime=""" class X: mistyped_var = 1 """, error="X.mistyped_var", ) @collect_cases def test_coroutines(self) -> Iterator[Case]: yield Case(stub="def bar() -> int: ...", runtime="async def bar(): return 5", error="bar") # Don't error for this one -- we get false positives otherwise yield Case(stub="async def foo() -> int: ...", runtime="def foo(): return 5", error=None) yield Case(stub="def baz() -> int: ...", runtime="def baz(): return 5", error=None) yield Case( stub="async def bingo() -> int: ...", runtime="async def bingo(): return 5", error=None ) @collect_cases def test_arg_name(self) -> Iterator[Case]: yield Case( stub="def bad(number: int, text: str) -> None: ...", runtime="def bad(num, text) -> None: pass", error="bad", ) yield Case( stub="def good_posonly(__number: int, text: str) -> None: ...", runtime="def good_posonly(num, /, text): pass", error=None, ) yield Case( stub="def bad_posonly(__number: int, text: str) -> None: ...", runtime="def bad_posonly(flag, /, text): pass", error="bad_posonly", ) yield Case( stub=""" class BadMethod: def f(self, number: int, text: str) -> None: ... """, runtime=""" class BadMethod: def f(self, n, text): pass """, error="BadMethod.f", ) yield Case( stub=""" class GoodDunder: def __exit__(self, t, v, tb) -> None: ... """, runtime=""" class GoodDunder: def __exit__(self, exc_type, exc_val, exc_tb): pass """, error=None, ) yield Case( stub="""def dunder_name(__x: int) -> None: ...""", runtime="""def dunder_name(__x: int) -> None: ...""", error=None, ) yield Case( stub="""def dunder_name_posonly(__x: int, /) -> None: ...""", runtime="""def dunder_name_posonly(__x: int) -> None: ...""", error=None, ) yield Case( stub="""def dunder_name_bad(x: int) -> None: ...""", runtime="""def dunder_name_bad(__x: int) -> None: ...""", error="dunder_name_bad", ) @collect_cases def test_arg_kind(self) -> Iterator[Case]: yield Case( stub="def runtime_kwonly(number: int, text: str) -> None: ...", runtime="def runtime_kwonly(number, *, text): pass", error="runtime_kwonly", ) yield Case( stub="def stub_kwonly(number: int, *, text: str) -> None: ...", runtime="def stub_kwonly(number, text): pass", error="stub_kwonly", ) yield Case( stub="def stub_posonly(__number: int, text: str) -> None: ...", runtime="def stub_posonly(number, text): pass", error="stub_posonly", ) yield Case( stub="def good_posonly(__number: int, text: str) -> None: ...", runtime="def good_posonly(number, /, text): pass", error=None, ) yield Case( stub="def runtime_posonly(number: int, text: str) -> None: ...", runtime="def runtime_posonly(number, /, text): pass", error="runtime_posonly", ) yield Case( stub="def stub_posonly_570(number: int, /, text: str) -> None: ...", runtime="def stub_posonly_570(number, text): pass", error="stub_posonly_570", ) @collect_cases def test_private_parameters(self) -> Iterator[Case]: # Private parameters can optionally be omitted. yield Case( stub="def priv_pos_arg_missing() -> None: ...", runtime="def priv_pos_arg_missing(_p1=None): pass", error=None, ) yield Case( stub="def multi_priv_args() -> None: ...", runtime="def multi_priv_args(_p='', _q=''): pass", error=None, ) yield Case( stub="def priv_kwarg_missing() -> None: ...", runtime="def priv_kwarg_missing(*, _p2=''): pass", error=None, ) # But if they are included, they must be correct. yield Case( stub="def priv_pos_arg_wrong(_p: int = ...) -> None: ...", runtime="def priv_pos_arg_wrong(_p=None): pass", error="priv_pos_arg_wrong", ) yield Case( stub="def priv_kwarg_wrong(*, _p: int = ...) -> None: ...", runtime="def priv_kwarg_wrong(*, _p=None): pass", error="priv_kwarg_wrong", ) # Private parameters must have a default and start with exactly one # underscore. yield Case( stub="def pos_arg_no_default() -> None: ...", runtime="def pos_arg_no_default(_np): pass", error="pos_arg_no_default", ) yield Case( stub="def kwarg_no_default() -> None: ...", runtime="def kwarg_no_default(*, _np): pass", error="kwarg_no_default", ) yield Case( stub="def double_underscore_pos_arg() -> None: ...", runtime="def double_underscore_pos_arg(__np = None): pass", error="double_underscore_pos_arg", ) yield Case( stub="def double_underscore_kwarg() -> None: ...", runtime="def double_underscore_kwarg(*, __np = None): pass", error="double_underscore_kwarg", ) # But spot parameters that are accidentally not marked kw-only and # vice-versa. yield Case( stub="def priv_arg_is_kwonly(_p=...) -> None: ...", runtime="def priv_arg_is_kwonly(*, _p=''): pass", error="priv_arg_is_kwonly", ) yield Case( stub="def priv_arg_is_positional(*, _p=...) -> None: ...", runtime="def priv_arg_is_positional(_p=''): pass", error="priv_arg_is_positional", ) # Private parameters not at the end of the parameter list must be # included so that users can pass the following arguments using # positional syntax. yield Case( stub="def priv_args_not_at_end(*, q='') -> None: ...", runtime="def priv_args_not_at_end(_p='', q=''): pass", error="priv_args_not_at_end", ) @collect_cases def test_default_presence(self) -> Iterator[Case]: yield Case( stub="def f1(text: str = ...) -> None: ...", runtime="def f1(text = 'asdf'): pass", error=None, ) yield Case( stub="def f2(text: str = ...) -> None: ...", runtime="def f2(text): pass", error="f2" ) yield Case( stub="def f3(text: str) -> None: ...", runtime="def f3(text = 'asdf'): pass", error="f3", ) yield Case( stub="def f4(text: str = ...) -> None: ...", runtime="def f4(text = None): pass", error="f4", ) yield Case( stub="def f5(data: bytes = ...) -> None: ...", runtime="def f5(data = 'asdf'): pass", error="f5", ) yield Case( stub=""" from typing import TypeVar _T = TypeVar("_T", bound=str) def f6(text: _T = ...) -> None: ... """, runtime="def f6(text = None): pass", error="f6", ) @collect_cases def test_default_value(self) -> Iterator[Case]: yield Case( stub="def f1(text: str = 'x') -> None: ...", runtime="def f1(text = 'y'): pass", error="f1", ) yield Case( stub='def f2(text: bytes = b"x\'") -> None: ...', runtime='def f2(text = b"x\'"): pass', error=None, ) yield Case( stub='def f3(text: bytes = b"y\'") -> None: ...', runtime='def f3(text = b"x\'"): pass', error="f3", ) yield Case( stub="def f4(text: object = 1) -> None: ...", runtime="def f4(text = 1.0): pass", error="f4", ) yield Case( stub="def f5(text: object = True) -> None: ...", runtime="def f5(text = 1): pass", error="f5", ) yield Case( stub="def f6(text: object = True) -> None: ...", runtime="def f6(text = True): pass", error=None, ) yield Case( stub="def f7(text: object = not True) -> None: ...", runtime="def f7(text = False): pass", error=None, ) yield Case( stub="def f8(text: object = not True) -> None: ...", runtime="def f8(text = True): pass", error="f8", ) yield Case( stub="def f9(text: object = {1: 2}) -> None: ...", runtime="def f9(text = {1: 3}): pass", error="f9", ) yield Case( stub="def f10(text: object = [1, 2]) -> None: ...", runtime="def f10(text = [1, 2]): pass", error=None, ) # Simulate "" yield Case( stub="def f11() -> None: ...", runtime=""" def f11(text=None) -> None: pass f11.__text_signature__ = "(text=)" """, error="f11", ) # Simulate numpy ndarray.__bool__ that raises an error yield Case( stub="def f12(x=1): ...", runtime=""" class _ndarray: def __eq__(self, obj): return self def __bool__(self): raise ValueError def f12(x=_ndarray()) -> None: pass """, error="f12", ) @collect_cases def test_static_class_method(self) -> Iterator[Case]: yield Case( stub=""" class Good: @classmethod def f(cls, number: int, text: str) -> None: ... """, runtime=""" class Good: @classmethod def f(cls, number, text): pass """, error=None, ) yield Case( stub=""" class Bad1: def f(cls, number: int, text: str) -> None: ... """, runtime=""" class Bad1: @classmethod def f(cls, number, text): pass """, error="Bad1.f", ) yield Case( stub=""" class Bad2: @classmethod def f(cls, number: int, text: str) -> None: ... """, runtime=""" class Bad2: @staticmethod def f(self, number, text): pass """, error="Bad2.f", ) yield Case( stub=""" class Bad3: @staticmethod def f(cls, number: int, text: str) -> None: ... """, runtime=""" class Bad3: @classmethod def f(self, number, text): pass """, error="Bad3.f", ) yield Case( stub=""" class GoodNew: def __new__(cls, *args, **kwargs): ... """, runtime=""" class GoodNew: def __new__(cls, *args, **kwargs): pass """, error=None, ) @collect_cases def test_arg_mismatch(self) -> Iterator[Case]: yield Case( stub="def f1(a, *, b, c) -> None: ...", runtime="def f1(a, *, b, c): pass", error=None ) yield Case( stub="def f2(a, *, b) -> None: ...", runtime="def f2(a, *, b, c): pass", error="f2" ) yield Case( stub="def f3(a, *, b, c) -> None: ...", runtime="def f3(a, *, b): pass", error="f3" ) yield Case( stub="def f4(a, *, b, c) -> None: ...", runtime="def f4(a, b, *, c): pass", error="f4" ) yield Case( stub="def f5(a, b, *, c) -> None: ...", runtime="def f5(a, *, b, c): pass", error="f5" ) @collect_cases def test_varargs_varkwargs(self) -> Iterator[Case]: yield Case( stub="def f1(*args, **kwargs) -> None: ...", runtime="def f1(*args, **kwargs): pass", error=None, ) yield Case( stub="def f2(*args, **kwargs) -> None: ...", runtime="def f2(**kwargs): pass", error="f2", ) yield Case( stub="def g1(a, b, c, d) -> None: ...", runtime="def g1(a, *args): pass", error=None ) yield Case( stub="def g2(a, b, c, d, *args) -> None: ...", runtime="def g2(a): pass", error="g2" ) yield Case( stub="def g3(a, b, c, d, *args) -> None: ...", runtime="def g3(a, *args): pass", error=None, ) yield Case( stub="def h1(a) -> None: ...", runtime="def h1(a, b, c, d, *args): pass", error="h1" ) yield Case( stub="def h2(a, *args) -> None: ...", runtime="def h2(a, b, c, d): pass", error="h2" ) yield Case( stub="def h3(a, *args) -> None: ...", runtime="def h3(a, b, c, d, *args): pass", error="h3", ) yield Case( stub="def j1(a: int, *args) -> None: ...", runtime="def j1(a): pass", error="j1" ) yield Case( stub="def j2(a: int) -> None: ...", runtime="def j2(a, *args): pass", error="j2" ) yield Case( stub="def j3(a, b, c) -> None: ...", runtime="def j3(a, *args, c): pass", error="j3" ) yield Case(stub="def k1(a, **kwargs) -> None: ...", runtime="def k1(a): pass", error="k1") yield Case( # In theory an error, but led to worse results in practice stub="def k2(a) -> None: ...", runtime="def k2(a, **kwargs): pass", error=None, ) yield Case( stub="def k3(a, b) -> None: ...", runtime="def k3(a, **kwargs): pass", error="k3" ) yield Case( stub="def k4(a, *, b) -> None: ...", runtime="def k4(a, **kwargs): pass", error=None ) yield Case( stub="def k5(a, *, b) -> None: ...", runtime="def k5(a, *, b, c, **kwargs): pass", error="k5", ) yield Case( stub="def k6(a, *, b, **kwargs) -> None: ...", runtime="def k6(a, *, b, c, **kwargs): pass", error="k6", ) @collect_cases def test_overload(self) -> Iterator[Case]: yield Case( stub=""" from typing import overload @overload def f1(a: int, *, c: int = ...) -> int: ... @overload def f1(a: int, b: int, c: int = ...) -> str: ... """, runtime="def f1(a, b = 0, c = 0): pass", error=None, ) yield Case( stub=""" @overload def f2(a: int, *, c: int = ...) -> int: ... @overload def f2(a: int, b: int, c: int = ...) -> str: ... """, runtime="def f2(a, b, c = 0): pass", error="f2", ) yield Case( stub=""" @overload def f3(a: int) -> int: ... @overload def f3(a: int, b: str) -> str: ... """, runtime="def f3(a, b = None): pass", error="f3", ) yield Case( stub=""" @overload def f4(a: int, *args, b: int, **kwargs) -> int: ... @overload def f4(a: str, *args, b: int, **kwargs) -> str: ... """, runtime="def f4(a, *args, b, **kwargs): pass", error=None, ) yield Case( stub=""" @overload def f5(__a: int) -> int: ... @overload def f5(__b: str) -> str: ... """, runtime="def f5(x, /): pass", error=None, ) yield Case( stub=""" from typing import final from typing_extensions import deprecated class Foo: @overload @final def f6(self, __a: int) -> int: ... @overload @deprecated("evil") def f6(self, __b: str) -> str: ... """, runtime=""" class Foo: def f6(self, x, /): pass """, error=None, ) yield Case( stub=""" @overload def f7(a: int, /) -> int: ... @overload def f7(b: str, /) -> str: ... """, runtime="def f7(x, /): pass", error=None, ) yield Case( stub=""" @overload def f8(a: int, c: int = 0, /) -> int: ... @overload def f8(b: str, d: int, /) -> str: ... """, runtime="def f8(x, y, /): pass", error="f8", ) yield Case( stub=""" @overload def f9(a: int, c: int = 0, /) -> int: ... @overload def f9(b: str, d: int, /) -> str: ... """, runtime="def f9(x, y=0, /): pass", error=None, ) yield Case( stub=""" class Bar: @overload def f1(self) -> int: ... @overload def f1(self, a: int, /) -> int: ... @overload def f2(self, a: int, /) -> int: ... @overload def f2(self, a: str, /) -> int: ... """, runtime=""" class Bar: def f1(self, *a) -> int: ... def f2(self, *a) -> int: ... """, error=None, ) yield Case( stub=""" @overload def f(a: int) -> int: ... @overload def f(a: int, b: str, /) -> str: ... """, runtime=""" def f(a, *args): ... """, error=None, ) @collect_cases def test_property(self) -> Iterator[Case]: yield Case( stub=""" class Good: @property def read_only_attr(self) -> int: ... read_only_attr_alias = read_only_attr """, runtime=""" class Good: @property def read_only_attr(self): return 1 read_only_attr_alias = read_only_attr """, error=None, ) yield Case( stub=""" class Bad: @property def f(self) -> int: ... """, runtime=""" class Bad: def f(self) -> int: return 1 """, error="Bad.f", ) yield Case( stub=""" class GoodReadOnly: @property def f(self) -> int: ... """, runtime=""" class GoodReadOnly: f = 1 """, error=None, ) yield Case( stub=""" class BadReadOnly: @property def f(self) -> str: ... """, runtime=""" class BadReadOnly: f = 1 """, error="BadReadOnly.f", ) yield Case( stub=""" class Y: @property def read_only_attr(self) -> int: ... @read_only_attr.setter def read_only_attr(self, val: int) -> None: ... """, runtime=""" class Y: @property def read_only_attr(self): return 5 """, error="Y.read_only_attr", ) yield Case( stub=""" class Z: @property def read_write_attr(self) -> int: ... @read_write_attr.setter def read_write_attr(self, val: int) -> None: ... read_write_attr_alias = read_write_attr """, runtime=""" class Z: @property def read_write_attr(self): return self._val @read_write_attr.setter def read_write_attr(self, val): self._val = val read_write_attr_alias = read_write_attr """, error=None, ) yield Case( stub=""" class FineAndDandy: @property def attr(self) -> int: ... """, runtime=""" class _EvilDescriptor: def __get__(self, instance, ownerclass=None): if instance is None: raise AttributeError('no') return 42 def __set__(self, instance, value): raise AttributeError('no') class FineAndDandy: attr = _EvilDescriptor() """, error=None, ) @collect_cases def test_cached_property(self) -> Iterator[Case]: yield Case( stub=""" from functools import cached_property class Good: @cached_property def read_only_attr(self) -> int: ... @cached_property def read_only_attr2(self) -> int: ... """, runtime=""" import functools as ft from functools import cached_property class Good: @cached_property def read_only_attr(self): return 1 @ft.cached_property def read_only_attr2(self): return 1 """, error=None, ) yield Case( stub=""" from functools import cached_property class Bad: @cached_property def f(self) -> int: ... """, runtime=""" class Bad: def f(self) -> int: return 1 """, error="Bad.f", ) yield Case( stub=""" from functools import cached_property class GoodCachedAttr: @cached_property def f(self) -> int: ... """, runtime=""" class GoodCachedAttr: f = 1 """, error=None, ) yield Case( stub=""" from functools import cached_property class BadCachedAttr: @cached_property def f(self) -> str: ... """, runtime=""" class BadCachedAttr: f = 1 """, error="BadCachedAttr.f", ) yield Case( stub=""" from functools import cached_property from typing import final class FinalGood: @cached_property @final def attr(self) -> int: ... """, runtime=""" from functools import cached_property from typing import final class FinalGood: @cached_property @final def attr(self): return 1 """, error=None, ) yield Case( stub=""" from functools import cached_property class FinalBad: @cached_property def attr(self) -> int: ... """, runtime=""" from functools import cached_property from typing_extensions import final class FinalBad: @cached_property @final def attr(self): return 1 """, error="FinalBad.attr", ) @collect_cases def test_var(self) -> Iterator[Case]: yield Case(stub="x1: int", runtime="x1 = 5", error=None) yield Case(stub="x2: str", runtime="x2 = 5", error="x2") yield Case("from typing import Tuple", "", None) # dummy case yield Case( stub=""" x3: Tuple[int, int] """, runtime="x3 = (1, 3)", error=None, ) yield Case( stub=""" x4: Tuple[int, int] """, runtime="x4 = (1, 3, 5)", error="x4", ) yield Case(stub="x5: int", runtime="def x5(a, b): pass", error="x5") yield Case( stub="def foo(a: int, b: int) -> None: ...\nx6 = foo", runtime="def foo(a, b): pass\ndef x6(c, d): pass", error="x6", ) yield Case( stub=""" class X: f: int """, runtime=""" class X: def __init__(self): self.f = "asdf" """, error=None, ) yield Case( stub=""" class Y: read_only_attr: int """, runtime=""" class Y: @property def read_only_attr(self): return 5 """, error="Y.read_only_attr", ) yield Case( stub=""" class Z: read_write_attr: int """, runtime=""" class Z: @property def read_write_attr(self): return self._val @read_write_attr.setter def read_write_attr(self, val): self._val = val """, error=None, ) @collect_cases def test_type_alias(self) -> Iterator[Case]: yield Case( stub=""" import collections.abc import re import typing from typing import Callable, Dict, Generic, Iterable, List, Match, Tuple, TypeVar, Union """, runtime=""" import collections.abc import re from typing import Callable, Dict, Generic, Iterable, List, Match, Tuple, TypeVar, Union """, error=None, ) yield Case( stub=""" class X: def f(self) -> None: ... Y = X """, runtime=""" class X: def f(self) -> None: ... class Y: ... """, error="Y.f", ) yield Case(stub="A = Tuple[int, str]", runtime="A = (int, str)", error="A") # Error if an alias isn't present at runtime... yield Case(stub="B = str", runtime="", error="B") # ... but only if the alias isn't private yield Case(stub="_C = int", runtime="", error=None) yield Case( stub=""" D = tuple[str, str] E = Tuple[int, int, int] F = Tuple[str, int] """, runtime=""" D = Tuple[str, str] E = Tuple[int, int, int] F = List[str] """, error="F", ) yield Case( stub=""" G = str | int H = Union[str, bool] I = str | int """, runtime=""" G = Union[str, int] H = Union[str, bool] I = str """, error="I", ) yield Case( stub=""" K = dict[str, str] L = Dict[int, int] KK = collections.abc.Iterable[str] LL = typing.Iterable[str] """, runtime=""" K = Dict[str, str] L = Dict[int, int] KK = Iterable[str] LL = Iterable[str] """, error=None, ) yield Case( stub=""" _T = TypeVar("_T") class _Spam(Generic[_T]): def foo(self) -> None: ... IntFood = _Spam[int] """, runtime=""" _T = TypeVar("_T") class _Bacon(Generic[_T]): def foo(self, arg): pass IntFood = _Bacon[int] """, error="IntFood.foo", ) yield Case(stub="StrList = list[str]", runtime="StrList = ['foo', 'bar']", error="StrList") yield Case( stub=""" N = typing.Callable[[str], bool] O = collections.abc.Callable[[int], str] P = typing.Callable[[str], bool] """, runtime=""" N = Callable[[str], bool] O = Callable[[int], str] P = int """, error="P", ) yield Case( stub=""" class Foo: class Bar: ... BarAlias = Foo.Bar """, runtime=""" class Foo: class Bar: pass BarAlias = Foo.Bar """, error=None, ) yield Case( stub=""" from io import StringIO StringIOAlias = StringIO """, runtime=""" from _io import StringIO StringIOAlias = StringIO """, error=None, ) yield Case(stub="M = Match[str]", runtime="M = Match[str]", error=None) yield Case( stub=""" class Baz: def fizz(self) -> None: ... BazAlias = Baz """, runtime=""" class Baz: def fizz(self): pass BazAlias = Baz Baz.__name__ = Baz.__qualname__ = Baz.__module__ = "New" """, error=None, ) yield Case( stub=""" class FooBar: __module__: None # type: ignore def fizz(self) -> None: ... FooBarAlias = FooBar """, runtime=""" class FooBar: def fizz(self): pass FooBarAlias = FooBar FooBar.__module__ = None """, error=None, ) if sys.version_info >= (3, 10): yield Case( stub=""" Q = Dict[str, str] R = dict[int, int] S = Tuple[int, int] T = tuple[str, str] U = int | str V = Union[int, str] W = typing.Callable[[str], bool] Z = collections.abc.Callable[[str], bool] QQ = typing.Iterable[str] RR = collections.abc.Iterable[str] MM = typing.Match[str] MMM = re.Match[str] """, runtime=""" Q = dict[str, str] R = dict[int, int] S = tuple[int, int] T = tuple[str, str] U = int | str V = int | str W = collections.abc.Callable[[str], bool] Z = collections.abc.Callable[[str], bool] QQ = collections.abc.Iterable[str] RR = collections.abc.Iterable[str] MM = re.Match[str] MMM = re.Match[str] """, error=None, ) @collect_cases def test_enum(self) -> Iterator[Case]: yield Case(stub="import enum", runtime="import enum", error=None) yield Case( stub=""" class X(enum.Enum): a = ... b = "asdf" c = "oops" """, runtime=""" class X(enum.Enum): a = 1 b = "asdf" c = 2 """, error="X.c", ) yield Case( stub=""" class Flags1(enum.Flag): a = ... b = 2 def foo(x: Flags1 = ...) -> None: ... """, runtime=""" class Flags1(enum.Flag): a = 1 b = 2 def foo(x=Flags1.a|Flags1.b): pass """, error=None, ) yield Case( stub=""" class Flags2(enum.Flag): a = ... b = 2 def bar(x: Flags2 | None = None) -> None: ... """, runtime=""" class Flags2(enum.Flag): a = 1 b = 2 def bar(x=Flags2.a|Flags2.b): pass """, error="bar", ) yield Case( stub=""" class Flags3(enum.Flag): a = ... b = 2 def baz(x: Flags3 | None = ...) -> None: ... """, runtime=""" class Flags3(enum.Flag): a = 1 b = 2 def baz(x=Flags3(0)): pass """, error=None, ) yield Case( runtime=""" import enum class SomeObject: ... class WeirdEnum(enum.Enum): a = SomeObject() b = SomeObject() """, stub=""" import enum class SomeObject: ... class WeirdEnum(enum.Enum): _value_: SomeObject a = ... b = ... """, error=None, ) yield Case( stub=""" class Flags4(enum.Flag): a = 1 b = 2 def spam(x: Flags4 | None = None) -> None: ... """, runtime=""" class Flags4(enum.Flag): a = 1 b = 2 def spam(x=Flags4(0)): pass """, error="spam", ) yield Case( stub=""" import sys from typing import Final, Literal class BytesEnum(bytes, enum.Enum): a = b'foo' FOO: Literal[BytesEnum.a] BAR: Final = BytesEnum.a BAZ: BytesEnum EGGS: bytes """, runtime=""" class BytesEnum(bytes, enum.Enum): a = b'foo' FOO = BytesEnum.a BAR = BytesEnum.a BAZ = BytesEnum.a EGGS = BytesEnum.a """, error=None, ) yield Case( stub=""" class HasSlotsAndNothingElse: __slots__ = ("x",) x: int class HasInheritedSlots(HasSlotsAndNothingElse): pass class HasEmptySlots: __slots__ = () """, runtime=""" class HasSlotsAndNothingElse: __slots__ = ("x",) x: int class HasInheritedSlots(HasSlotsAndNothingElse): pass class HasEmptySlots: __slots__ = () """, error=None, ) yield Case( stub=""" class HasCompatibleValue(enum.Enum): _value_: str FOO = ... """, runtime=""" class HasCompatibleValue(enum.Enum): FOO = "foo" """, error=None, ) yield Case( stub=""" class HasIncompatibleValue(enum.Enum): _value_: int FOO = ... """, runtime=""" class HasIncompatibleValue(enum.Enum): FOO = "foo" """, error="HasIncompatibleValue.FOO", ) @collect_cases def test_decorator(self) -> Iterator[Case]: yield Case( stub=""" from typing import Any, Callable def decorator(f: Callable[[], int]) -> Callable[..., Any]: ... @decorator def f() -> Any: ... """, runtime=""" def decorator(f): return f @decorator def f(): return 3 """, error=None, ) @collect_cases def test_all_at_runtime_not_stub(self) -> Iterator[Case]: yield Case( stub="Z: int", runtime=""" __all__ = [] Z = 5""", error="__all__", ) @collect_cases def test_all_in_stub_not_at_runtime(self) -> Iterator[Case]: yield Case(stub="__all__ = ()", runtime="", error="__all__") @collect_cases def test_all_in_stub_different_to_all_at_runtime(self) -> Iterator[Case]: # We *should* emit an error with the module name itself + __all__, # if the stub *does* define __all__, # but the stub's __all__ is inconsistent with the runtime's __all__ yield Case( stub=""" __all__ = ['foo'] foo: str """, runtime=""" __all__ = [] foo = 'foo' """, error="__all__", ) @collect_cases def test_missing(self) -> Iterator[Case]: yield Case(stub="x = 5", runtime="", error="x") yield Case(stub="def f(): ...", runtime="", error="f") yield Case(stub="class X: ...", runtime="", error="X") yield Case( stub=""" from typing import overload @overload def h(x: int): ... @overload def h(x: str): ... """, runtime="", error="h", ) yield Case(stub="", runtime="__all__ = []", error="__all__") # dummy case yield Case(stub="", runtime="__all__ += ['y']\ny = 5", error="y") yield Case(stub="", runtime="__all__ += ['g']\ndef g(): pass", error="g") # Here we should only check that runtime has B, since the stub explicitly re-exports it yield Case( stub="from mystery import A, B as B, C as D # type: ignore", runtime="", error="B" ) yield Case( stub="class Y: ...", runtime="__all__ += ['Y']\nclass Y:\n def __or__(self, other): return self|other", error="Y.__or__", ) yield Case( stub="class Z: ...", runtime="__all__ += ['Z']\nclass Z:\n def __reduce__(self): return (Z,)", error=None, ) # __call__ exists on type, so it appears to exist on the class. # This checks that we identify it as missing at runtime anyway. yield Case( stub=""" class ClassWithMetaclassOverride: def __call__(*args, **kwds): ... """, runtime="class ClassWithMetaclassOverride: ...", error="ClassWithMetaclassOverride.__call__", ) # Test that we ignore object.__setattr__ and object.__delattr__ inheritance yield Case( stub=""" from typing import Any class FakeSetattrClass: def __setattr__(self, name: str, value: Any, /) -> None: ... """, runtime="class FakeSetattrClass: ...", error="FakeSetattrClass.__setattr__", ) yield Case( stub=""" class FakeDelattrClass: def __delattr__(self, name: str, /) -> None: ... """, runtime="class FakeDelattrClass: ...", error="FakeDelattrClass.__delattr__", ) @collect_cases def test_missing_no_runtime_all(self) -> Iterator[Case]: yield Case(stub="", runtime="import sys", error=None) yield Case(stub="", runtime="def g(): ...", error="g") yield Case(stub="", runtime="CONSTANT = 0", error="CONSTANT") yield Case(stub="", runtime="import re; constant = re.compile('foo')", error="constant") yield Case(stub="", runtime="from json.scanner import NUMBER_RE", error=None) yield Case(stub="", runtime="from string import ascii_letters", error=None) @collect_cases def test_missing_no_runtime_all_terrible(self) -> Iterator[Case]: yield Case( stub="", runtime=""" import sys import types import __future__ _m = types.SimpleNamespace() _m.annotations = __future__.annotations sys.modules["_terrible_stubtest_test_module"] = _m from _terrible_stubtest_test_module import * assert annotations """, error=None, ) @collect_cases def test_non_public_1(self) -> Iterator[Case]: yield Case( stub="__all__: list[str]", runtime="", error=f"{TEST_MODULE_NAME}.__all__" ) # dummy case yield Case(stub="_f: int", runtime="def _f(): ...", error="_f") @collect_cases def test_non_public_2(self) -> Iterator[Case]: yield Case(stub="__all__: list[str] = ['f']", runtime="__all__ = ['f']", error=None) yield Case(stub="f: int", runtime="def f(): ...", error="f") yield Case(stub="g: int", runtime="def g(): ...", error="g") @collect_cases def test_dunders(self) -> Iterator[Case]: yield Case( stub="class A:\n def __init__(self, a: int, b: int) -> None: ...", runtime="class A:\n def __init__(self, a, bx): pass", error="A.__init__", ) yield Case( stub="class B:\n def __call__(self, c: int, d: int) -> None: ...", runtime="class B:\n def __call__(self, c, dx): pass", error="B.__call__", ) yield Case( stub=( "class C:\n" " def __init_subclass__(\n" " cls, e: int = ..., **kwargs: int\n" " ) -> None: ...\n" ), runtime="class C:\n def __init_subclass__(cls, e=1, **kwargs): pass", error=None, ) yield Case( stub="class D:\n def __class_getitem__(cls, type: type) -> type: ...", runtime="class D:\n def __class_getitem__(cls, type): ...", error=None, ) @collect_cases def test_not_subclassable(self) -> Iterator[Case]: yield Case( stub="class CanBeSubclassed: ...", runtime="class CanBeSubclassed: ...", error=None ) yield Case( stub="class CannotBeSubclassed:\n def __init_subclass__(cls) -> None: ...", runtime="class CannotBeSubclassed:\n def __init_subclass__(cls): raise TypeError", error="CannotBeSubclassed", ) @collect_cases def test_disjoint_base(self) -> Iterator[Case]: yield Case( stub=""" class A: pass """, runtime=""" class A: pass """, error=None, ) yield Case( stub=""" from typing_extensions import disjoint_base @disjoint_base class B: pass """, runtime=""" class B: pass """, error="test_module.B", ) yield Case( stub=""" from typing_extensions import Self class mytakewhile: def __new__(cls, predicate: object, iterable: object, /) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> object: ... """, runtime=""" from itertools import takewhile as mytakewhile """, # Should have @disjoint_base error="test_module.mytakewhile", ) yield Case( stub=""" from typing_extensions import disjoint_base, Self @disjoint_base class mycorrecttakewhile: def __new__(cls, predicate: object, iterable: object, /) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> object: ... """, runtime=""" from itertools import takewhile as mycorrecttakewhile """, error=None, ) yield Case( runtime=""" class IsDisjointBaseBecauseItHasSlots: __slots__ = ("a",) a: int """, stub=""" from typing_extensions import disjoint_base @disjoint_base class IsDisjointBaseBecauseItHasSlots: a: int """, error="test_module.IsDisjointBaseBecauseItHasSlots", ) yield Case( runtime=""" class IsFinalSoDisjointBaseIsRedundant: ... """, stub=""" from typing_extensions import disjoint_base, final @final @disjoint_base class IsFinalSoDisjointBaseIsRedundant: ... """, error="test_module.IsFinalSoDisjointBaseIsRedundant", ) yield Case( runtime=""" import enum class IsEnumWithMembersSoDisjointBaseIsRedundant(enum.Enum): A = 1 B = 2 """, stub=""" from typing_extensions import disjoint_base import enum @disjoint_base class IsEnumWithMembersSoDisjointBaseIsRedundant(enum.Enum): A = 1 B = 2 """, error="test_module.IsEnumWithMembersSoDisjointBaseIsRedundant", ) @collect_cases def test_has_runtime_final_decorator(self) -> Iterator[Case]: yield Case( stub="from typing_extensions import final", runtime=""" import functools from typing_extensions import final """, error=None, ) yield Case( stub=""" @final class A: ... """, runtime=""" @final class A: ... """, error=None, ) yield Case( # Runtime can miss `@final` decorator stub=""" @final class B: ... """, runtime=""" class B: ... """, error=None, ) yield Case( # Stub cannot miss `@final` decorator stub=""" class C: ... """, runtime=""" @final class C: ... """, error="C", ) yield Case( stub=""" class D: @final def foo(self) -> None: ... @final @staticmethod def bar() -> None: ... @staticmethod @final def bar2() -> None: ... @final @classmethod def baz(cls) -> None: ... @classmethod @final def baz2(cls) -> None: ... @property @final def eggs(self) -> int: ... @final @property def eggs2(self) -> int: ... @final def ham(self, obj: int) -> int: ... """, runtime=""" class D: @final def foo(self): pass @final @staticmethod def bar(): pass @staticmethod @final def bar2(): pass @final @classmethod def baz(cls): pass @classmethod @final def baz2(cls): pass @property @final def eggs(self): return 42 @final @property def eggs2(self): pass @final @functools.lru_cache() def ham(self, obj): return obj * 2 """, error=None, ) # Stub methods are allowed to have @final even if the runtime doesn't... yield Case( stub=""" class E: @final def foo(self) -> None: ... @final @staticmethod def bar() -> None: ... @staticmethod @final def bar2() -> None: ... @final @classmethod def baz(cls) -> None: ... @classmethod @final def baz2(cls) -> None: ... @property @final def eggs(self) -> int: ... @final @property def eggs2(self) -> int: ... @final def ham(self, obj: int) -> int: ... """, runtime=""" class E: def foo(self): pass @staticmethod def bar(): pass @staticmethod def bar2(): pass @classmethod def baz(cls): pass @classmethod def baz2(cls): pass @property def eggs(self): return 42 @property def eggs2(self): return 42 @functools.lru_cache() def ham(self, obj): return obj * 2 """, error=None, ) # ...But if the runtime has @final, the stub must have it as well yield Case( stub=""" class F: def foo(self) -> None: ... """, runtime=""" class F: @final def foo(self): pass """, error="F.foo", ) yield Case( stub=""" class G: @staticmethod def foo() -> None: ... """, runtime=""" class G: @final @staticmethod def foo(): pass """, error="G.foo", ) yield Case( stub=""" class H: @staticmethod def foo() -> None: ... """, runtime=""" class H: @staticmethod @final def foo(): pass """, error="H.foo", ) yield Case( stub=""" class I: @classmethod def foo(cls) -> None: ... """, runtime=""" class I: @final @classmethod def foo(cls): pass """, error="I.foo", ) yield Case( stub=""" class J: @classmethod def foo(cls) -> None: ... """, runtime=""" class J: @classmethod @final def foo(cls): pass """, error="J.foo", ) yield Case( stub=""" class K: @property def foo(self) -> int: ... """, runtime=""" class K: @property @final def foo(self): return 42 """, error="K.foo", ) # This test wouldn't pass, # because the runtime can't set __final__ on instances of builtins.property, # so stubtest has non way of knowing that the runtime was decorated with @final: # # yield Case( # stub=""" # class K2: # @property # def foo(self) -> int: ... # """, # runtime=""" # class K2: # @final # @property # def foo(self): return 42 # """, # error="K2.foo", # ) yield Case( stub=""" class L: def foo(self, obj: int) -> int: ... """, runtime=""" class L: @final @functools.lru_cache() def foo(self, obj): return obj * 2 """, error="L.foo", ) @collect_cases def test_name_mangling(self) -> Iterator[Case]: yield Case( stub=""" class X: def __mangle_good(self, text: str) -> None: ... def __mangle_bad(self, number: int) -> None: ... """, runtime=""" class X: def __mangle_good(self, text): pass def __mangle_bad(self, text): pass """, error="X.__mangle_bad", ) yield Case( stub=""" class Klass: class __Mangled1: class __Mangled2: def __mangle_good(self, text: str) -> None: ... def __mangle_bad(self, number: int) -> None: ... """, runtime=""" class Klass: class __Mangled1: class __Mangled2: def __mangle_good(self, text): pass def __mangle_bad(self, text): pass """, error="Klass.__Mangled1.__Mangled2.__mangle_bad", ) yield Case( stub=""" class __Dunder__: def __mangle_good(self, text: str) -> None: ... def __mangle_bad(self, number: int) -> None: ... """, runtime=""" class __Dunder__: def __mangle_good(self, text): pass def __mangle_bad(self, text): pass """, error="__Dunder__.__mangle_bad", ) yield Case( stub=""" class _Private: def __mangle_good(self, text: str) -> None: ... def __mangle_bad(self, number: int) -> None: ... """, runtime=""" class _Private: def __mangle_good(self, text): pass def __mangle_bad(self, text): pass """, error="_Private.__mangle_bad", ) @collect_cases def test_mro(self) -> Iterator[Case]: yield Case( stub=""" class A: def foo(self, x: int) -> None: ... class B(A): pass class C(A): pass """, runtime=""" class A: def foo(self, x: int) -> None: ... class B(A): def foo(self, x: int) -> None: ... class C(A): def foo(self, y: int) -> None: ... """, error="C.foo", ) yield Case( stub=""" class X: ... """, runtime=""" class X: def __init__(self, x): pass """, error="X.__init__", ) @collect_cases def test_good_literal(self) -> Iterator[Case]: yield Case( stub=r""" from typing import Literal import enum class Color(enum.Enum): RED = ... NUM: Literal[1] CHAR: Literal['a'] FLAG: Literal[True] NON: Literal[None] BYT1: Literal[b'abc'] BYT2: Literal[b'\x90'] ENUM: Literal[Color.RED] """, runtime=r""" import enum class Color(enum.Enum): RED = 3 NUM = 1 CHAR = 'a' NON = None FLAG = True BYT1 = b"abc" BYT2 = b'\x90' ENUM = Color.RED """, error=None, ) @collect_cases def test_bad_literal(self) -> Iterator[Case]: yield Case("from typing import Literal", "", None) # dummy case yield Case( stub="INT_FLOAT_MISMATCH: Literal[1]", runtime="INT_FLOAT_MISMATCH = 1.0", error="INT_FLOAT_MISMATCH", ) yield Case(stub="WRONG_INT: Literal[1]", runtime="WRONG_INT = 2", error="WRONG_INT") yield Case(stub="WRONG_STR: Literal['a']", runtime="WRONG_STR = 'b'", error="WRONG_STR") yield Case( stub="BYTES_STR_MISMATCH: Literal[b'value']", runtime="BYTES_STR_MISMATCH = 'value'", error="BYTES_STR_MISMATCH", ) yield Case( stub="STR_BYTES_MISMATCH: Literal['value']", runtime="STR_BYTES_MISMATCH = b'value'", error="STR_BYTES_MISMATCH", ) yield Case( stub="WRONG_BYTES: Literal[b'abc']", runtime="WRONG_BYTES = b'xyz'", error="WRONG_BYTES", ) yield Case( stub="WRONG_BOOL_1: Literal[True]", runtime="WRONG_BOOL_1 = False", error="WRONG_BOOL_1", ) yield Case( stub="WRONG_BOOL_2: Literal[False]", runtime="WRONG_BOOL_2 = True", error="WRONG_BOOL_2", ) @collect_cases def test_special_subtype(self) -> Iterator[Case]: yield Case( stub=""" b1: bool b2: bool b3: bool """, runtime=""" b1 = 0 b2 = 1 b3 = 2 """, error="b3", ) yield Case( stub=""" from typing import TypedDict class _Options(TypedDict): a: str b: int opt1: _Options opt2: _Options opt3: _Options """, runtime=""" opt1 = {"a": "3.", "b": 14} opt2 = {"some": "stuff"} # false negative opt3 = 0 """, error="opt3", ) @collect_cases def test_runtime_typing_objects(self) -> Iterator[Case]: yield Case( stub="from typing import Protocol, TypedDict", runtime="from typing import Protocol, TypedDict", error=None, ) yield Case( stub=""" class X(Protocol): bar: int def foo(self, x: int, y: bytes = ...) -> str: ... """, runtime=""" class X(Protocol): bar: int def foo(self, x: int, y: bytes = ...) -> str: ... """, error=None, ) yield Case( stub=""" class Y(TypedDict): a: int """, runtime=""" class Y(TypedDict): a: int """, error=None, ) @collect_cases def test_named_tuple(self) -> Iterator[Case]: yield Case( stub="from typing import NamedTuple", runtime="from typing import NamedTuple", error=None, ) yield Case( stub=""" class X1(NamedTuple): bar: int foo: str = ... """, runtime=""" class X1(NamedTuple): bar: int foo: str = 'a' """, error=None, ) yield Case( stub=""" class X2(NamedTuple): bar: int foo: str """, runtime=""" class X2(NamedTuple): bar: int foo: str = 'a' """, # `__new__` will miss a default value for a `foo` parameter, # but we don't generate special errors for `foo` missing `...` part. error="X2.__new__", ) @collect_cases def test_named_tuple_typing_and_collections(self) -> Iterator[Case]: yield Case( stub="from typing import NamedTuple", runtime="from collections import namedtuple", error=None, ) yield Case( stub=""" class X1(NamedTuple): bar: int foo: str = ... """, runtime=""" X1 = namedtuple('X1', ['bar', 'foo'], defaults=['a']) """, error=None, ) yield Case( stub=""" class X2(NamedTuple): bar: int foo: str """, runtime=""" X2 = namedtuple('X1', ['bar', 'foo'], defaults=['a']) """, error="X2.__new__", ) @collect_cases def test_type_var(self) -> Iterator[Case]: yield Case( stub="from typing import TypeVar", runtime="from typing import TypeVar", error=None ) yield Case(stub="A = TypeVar('A')", runtime="A = TypeVar('A')", error=None) yield Case(stub="B = TypeVar('B')", runtime="B = 5", error="B") if sys.version_info >= (3, 10): yield Case( stub="from typing import ParamSpec", runtime="from typing import ParamSpec", error=None, ) yield Case(stub="C = ParamSpec('C')", runtime="C = ParamSpec('C')", error=None) @collect_cases def test_metaclass_match(self) -> Iterator[Case]: yield Case(stub="class Meta(type): ...", runtime="class Meta(type): ...", error=None) yield Case(stub="class A0: ...", runtime="class A0: ...", error=None) yield Case( stub="class A1(metaclass=Meta): ...", runtime="class A1(metaclass=Meta): ...", error=None, ) yield Case(stub="class A2: ...", runtime="class A2(metaclass=Meta): ...", error="A2") yield Case(stub="class A3(metaclass=Meta): ...", runtime="class A3: ...", error="A3") # Explicit `type` metaclass can always be added in any part: yield Case( stub="class T1(metaclass=type): ...", runtime="class T1(metaclass=type): ...", error=None, ) yield Case(stub="class T2: ...", runtime="class T2(metaclass=type): ...", error=None) yield Case(stub="class T3(metaclass=type): ...", runtime="class T3: ...", error=None) # Explicit check that `_protected` names are also supported: yield Case(stub="class _P1(type): ...", runtime="class _P1(type): ...", error=None) yield Case(stub="class P2: ...", runtime="class P2(metaclass=_P1): ...", error="P2") # With inheritance: yield Case( stub=""" class I1(metaclass=Meta): ... class S1(I1): ... """, runtime=""" class I1(metaclass=Meta): ... class S1(I1): ... """, error=None, ) yield Case( stub=""" class I2(metaclass=Meta): ... class S2: ... # missing inheritance """, runtime=""" class I2(metaclass=Meta): ... class S2(I2): ... """, error="S2", ) @collect_cases def test_metaclass_abcmeta(self) -> Iterator[Case]: # Handling abstract metaclasses is special: yield Case(stub="from abc import ABCMeta", runtime="from abc import ABCMeta", error=None) yield Case( stub="class A1(metaclass=ABCMeta): ...", runtime="class A1(metaclass=ABCMeta): ...", error=None, ) # Stubs cannot miss abstract metaclass: yield Case(stub="class A2: ...", runtime="class A2(metaclass=ABCMeta): ...", error="A2") # But, stubs can add extra abstract metaclass, this might be a typing hack: yield Case(stub="class A3(metaclass=ABCMeta): ...", runtime="class A3: ...", error=None) @collect_cases def test_abstract_methods(self) -> Iterator[Case]: yield Case( stub=""" from abc import abstractmethod from typing import overload """, runtime="from abc import abstractmethod", error=None, ) yield Case( stub=""" class A1: def some(self) -> None: ... """, runtime=""" class A1: @abstractmethod def some(self) -> None: ... """, error="A1.some", ) yield Case( stub=""" class A2: @abstractmethod def some(self) -> None: ... """, runtime=""" class A2: @abstractmethod def some(self) -> None: ... """, error=None, ) yield Case( stub=""" class A3: @overload def some(self, other: int) -> str: ... @overload def some(self, other: str) -> int: ... """, runtime=""" class A3: @abstractmethod def some(self, other) -> None: ... """, error="A3.some", ) yield Case( stub=""" class A4: @overload @abstractmethod def some(self, other: int) -> str: ... @overload @abstractmethod def some(self, other: str) -> int: ... """, runtime=""" class A4: @abstractmethod def some(self, other) -> None: ... """, error=None, ) yield Case( stub=""" class A5: @abstractmethod @overload def some(self, other: int) -> str: ... @abstractmethod @overload def some(self, other: str) -> int: ... """, runtime=""" class A5: @abstractmethod def some(self, other) -> None: ... """, error=None, ) # Runtime can miss `@abstractmethod`: yield Case( stub=""" class A6: @abstractmethod def some(self) -> None: ... """, runtime=""" class A6: def some(self) -> None: ... """, error=None, ) @collect_cases def test_abstract_properties(self) -> Iterator[Case]: # TODO: test abstract properties with setters yield Case( stub="from abc import abstractmethod", runtime="from abc import abstractmethod", error=None, ) # Ensure that `@property` also can be abstract: yield Case( stub=""" class AP1: @property def some(self) -> int: ... """, runtime=""" class AP1: @property @abstractmethod def some(self) -> int: ... """, error="AP1.some", ) yield Case( stub=""" class AP1_2: def some(self) -> int: ... # missing `@property` decorator """, runtime=""" class AP1_2: @property @abstractmethod def some(self) -> int: ... """, error="AP1_2.some", ) yield Case( stub=""" class AP2: @property @abstractmethod def some(self) -> int: ... """, runtime=""" class AP2: @property @abstractmethod def some(self) -> int: ... """, error=None, ) # Runtime can miss `@abstractmethod`: yield Case( stub=""" class AP3: @property @abstractmethod def some(self) -> int: ... """, runtime=""" class AP3: @property def some(self) -> int: ... """, error=None, ) @collect_cases def test_type_check_only(self) -> Iterator[Case]: yield Case( stub="from typing import type_check_only, overload", runtime="from typing import overload", error=None, ) # You can have public types that are only defined in stubs # with `@type_check_only`: yield Case( stub=""" @type_check_only class A1: ... """, runtime="", error=None, ) # Having `@type_check_only` on a type that exists at runtime is an error yield Case( stub=""" @type_check_only class A2: ... """, runtime="class A2: ...", error="A2", ) # The same is true for NamedTuples and TypedDicts: yield Case( stub="from typing import NamedTuple, TypedDict", runtime="from typing import NamedTuple, TypedDict", error=None, ) yield Case( stub=""" @type_check_only class NT1(NamedTuple): ... """, runtime="class NT1(NamedTuple): ...", error="NT1", ) yield Case( stub=""" @type_check_only class TD1(TypedDict): ... """, runtime="class TD1(TypedDict): ...", error="TD1", ) # The same is true for functions: yield Case( stub=""" @type_check_only def func1() -> None: ... """, runtime="", error=None, ) yield Case( stub=""" @type_check_only def func2() -> None: ... """, runtime="def func2() -> None: ...", error="func2", ) # A type that exists at runtime is allowed to alias a type marked # as '@type_check_only' in the stubs. yield Case( stub=""" @type_check_only class _X1: ... X2 = _X1 """, runtime="class X2: ...", error=None, ) @collect_cases def test_type_default_protocol(self) -> Iterator[Case]: yield Case( stub=""" from typing import Protocol class _FormatterClass(Protocol): def __call__(self, *, prog: str) -> HelpFormatter: ... class ArgumentParser: def __init__(self, formatter_class: _FormatterClass = ...) -> None: ... class HelpFormatter: def __init__(self, prog: str, indent_increment: int = 2) -> None: ... """, runtime=""" class HelpFormatter: def __init__(self, prog, indent_increment=2) -> None: ... class ArgumentParser: def __init__(self, formatter_class=HelpFormatter): ... """, error=None, ) def remove_color_code(s: str) -> str: return re.sub("\\x1b.*?m", "", s) # this works! class StubtestMiscUnit(unittest.TestCase): def test_output(self) -> None: output = run_stubtest( stub="def bad(number: int, text: str) -> None: ...", runtime="def bad(num, text): pass", options=[], ) expected = ( f'error: {TEST_MODULE_NAME}.bad is inconsistent, stub parameter "number" differs ' 'from runtime parameter "num"\n' f"Stub: in file {TEST_MODULE_NAME}.pyi:1\n" "def (number: builtins.int, text: builtins.str)\n" f"Runtime: in file {TEST_MODULE_NAME}.py:1\ndef (num, text)\n\n" "Found 1 error (checked 1 module)\n" ) assert output == expected output = run_stubtest( stub="def bad(number: int, text: str) -> None: ...", runtime="def bad(num, text): pass", options=["--concise"], ) expected = ( "{}.bad is inconsistent, " 'stub parameter "number" differs from runtime parameter "num"\n'.format( TEST_MODULE_NAME ) ) assert output == expected def test_ignore_flags(self) -> None: output = run_stubtest( stub="", runtime="__all__ = ['f']\ndef f(): pass", options=["--ignore-missing-stub"] ) assert output == "Success: no issues found in 1 module\n" output = run_stubtest(stub="", runtime="def f(): pass", options=["--ignore-missing-stub"]) assert output == "Success: no issues found in 1 module\n" output = run_stubtest( stub="def f(__a): ...", runtime="def f(a): pass", options=["--ignore-positional-only"] ) assert output == "Success: no issues found in 1 module\n" def test_allowlist(self) -> None: # Can't use this as a context because Windows allowlist = tempfile.NamedTemporaryFile(mode="w+", delete=False) try: with allowlist: allowlist.write(f"{TEST_MODULE_NAME}.bad # comment\n# comment") output = run_stubtest( stub="def bad(number: int, text: str) -> None: ...", runtime="def bad(asdf, text): pass", options=["--allowlist", allowlist.name], ) assert output == "Success: no issues found in 1 module\n" # test unused entry detection output = run_stubtest(stub="", runtime="", options=["--allowlist", allowlist.name]) assert output == ( f"note: unused allowlist entry {TEST_MODULE_NAME}.bad\n" "Found 1 error (checked 1 module)\n" ) output = run_stubtest( stub="", runtime="", options=["--allowlist", allowlist.name, "--ignore-unused-allowlist"], ) assert output == "Success: no issues found in 1 module\n" # test regex matching with open(allowlist.name, mode="w+") as f: f.write(f"{TEST_MODULE_NAME}.b.*\n") f.write("(unused_missing)?\n") f.write("unused.*\n") output = run_stubtest( stub=textwrap.dedent( """ def good() -> None: ... def bad(number: int) -> None: ... def also_bad(number: int) -> None: ... """.lstrip( "\n" ) ), runtime=textwrap.dedent( """ def good(): pass def bad(asdf): pass def also_bad(asdf): pass """.lstrip( "\n" ) ), options=["--allowlist", allowlist.name, "--generate-allowlist"], ) assert output == ( f"note: unused allowlist entry unused.*\n{TEST_MODULE_NAME}.also_bad\n" ) finally: os.unlink(allowlist.name) def test_mypy_build(self) -> None: output = run_stubtest(stub="+", runtime="", options=[]) assert output == ( "error: not checking stubs due to failed mypy compile:\n{}.pyi:1: " "error: Invalid syntax [syntax]\n".format(TEST_MODULE_NAME) ) output = run_stubtest(stub="def f(): ...\ndef f(): ...", runtime="", options=[]) assert output == ( "error: not checking stubs due to mypy build errors:\n{}.pyi:2: " 'error: Name "f" already defined on line 1 [no-redef]\n'.format(TEST_MODULE_NAME) ) def test_missing_stubs(self) -> None: output = io.StringIO() with contextlib.redirect_stdout(output): test_stubs(parse_options(["not_a_module"])) assert remove_color_code(output.getvalue()) == ( "error: not_a_module failed to find stubs\n" "Stub:\nMISSING\nRuntime:\nN/A\n\n" "Found 1 error (checked 1 module)\n" ) def test_only_py(self) -> None: # in this case, stubtest will check the py against itself # this is useful to support packages with a mix of stubs and inline types with use_tmp_dir(TEST_MODULE_NAME): with open(f"{TEST_MODULE_NAME}.py", "w") as f: f.write("a = 1") output = io.StringIO() with contextlib.redirect_stdout(output): test_stubs(parse_options([TEST_MODULE_NAME])) output_str = remove_color_code(output.getvalue()) assert output_str == "Success: no issues found in 1 module\n" def test_get_typeshed_stdlib_modules(self) -> None: stdlib = mypy.stubtest.get_typeshed_stdlib_modules(None, (3, 7)) assert "builtins" in stdlib assert "os" in stdlib assert "os.path" in stdlib assert "asyncio" in stdlib assert "graphlib" not in stdlib assert "formatter" in stdlib assert "contextvars" in stdlib # 3.7+ assert "importlib.metadata" not in stdlib stdlib = mypy.stubtest.get_typeshed_stdlib_modules(None, (3, 10)) assert "graphlib" in stdlib assert "formatter" not in stdlib assert "importlib.metadata" in stdlib def test_signature(self) -> None: def f(a: int, b: int, *, c: int, d: int = 0, **kwargs: Any) -> None: pass assert ( str(mypy.stubtest.Signature.from_inspect_signature(inspect.signature(f))) == "def (a, b, *, c, d = ..., **kwargs)" ) def test_builtin_signature_with_unrepresentable_default(self) -> None: sig = mypy.stubtest.safe_inspect_signature(bytes.hex) assert sig is not None assert ( str(mypy.stubtest.Signature.from_inspect_signature(sig)) == "def (self, sep = ..., bytes_per_sep = ...)" ) def test_overload_signature(self) -> None: # The same argument as both positional-only and pos-or-kw in # different overloads previously produced incorrect signatures source = """ from typing import overload @overload def myfunction(arg: int) -> None: ... @overload def myfunction(arg: str, /) -> None: ... """ result = build_helper(source) stub = result.files["__main__"].names["myfunction"].node assert isinstance(stub, nodes.OverloadedFuncDef) sig = mypy.stubtest.Signature.from_overloadedfuncdef(stub) if sys.version_info >= (3, 10): assert str(sig) == "def (arg: builtins.int | builtins.str)" else: assert str(sig) == "def (arg: Union[builtins.int, builtins.str])" def test_config_file(self) -> None: runtime = "temp = 5\n" stub = "from decimal import Decimal\ntemp: Decimal\n" config_file = f"[mypy]\nplugins={root_dir}/test-data/unit/plugins/decimal_to_int.py\n" output = run_stubtest(stub=stub, runtime=runtime, options=[]) assert output == ( f"error: {TEST_MODULE_NAME}.temp variable differs from runtime type Literal[5]\n" f"Stub: in file {TEST_MODULE_NAME}.pyi:2\n_decimal.Decimal\nRuntime:\n5\n\n" "Found 1 error (checked 1 module)\n" ) output = run_stubtest(stub=stub, runtime=runtime, options=[], config_file=config_file) assert output == "Success: no issues found in 1 module\n" def test_config_file_error_codes(self) -> None: runtime = "temp = 5\n" stub = "temp = SOME_GLOBAL_CONST" output = run_stubtest(stub=stub, runtime=runtime, options=[]) assert output == ( "error: not checking stubs due to mypy build errors:\n" 'test_module.pyi:1: error: Name "SOME_GLOBAL_CONST" is not defined [name-defined]\n' ) config_file = "[mypy]\ndisable_error_code = name-defined\n" output = run_stubtest(stub=stub, runtime=runtime, options=[], config_file=config_file) assert output == "Success: no issues found in 1 module\n" def test_config_file_error_codes_invalid(self) -> None: runtime = "temp = 5\n" stub = "temp: int\n" config_file = "[mypy]\ndisable_error_code = not-a-valid-name\n" output = io.StringIO() outerr = io.StringIO() with raises(SystemExit): run_stubtest_with_stderr( stub=stub, runtime=runtime, options=[], config_file=config_file, output=output, outerr=outerr, ) assert output.getvalue() == "error: Invalid error code(s): not-a-valid-name\n" assert outerr.getvalue() == "" def test_config_file_wrong_incomplete_feature(self) -> None: runtime = "x = 1\n" stub = "x: int\n" config_file = "[mypy]\nenable_incomplete_feature = Unpack\n" output = run_stubtest(stub=stub, runtime=runtime, options=[], config_file=config_file) assert output == ( "warning: Warning: Unpack is already enabled by default\n" "Success: no issues found in 1 module\n" ) config_file = "[mypy]\nenable_incomplete_feature = not-a-valid-name\n" with self.assertRaises(SystemExit): run_stubtest(stub=stub, runtime=runtime, options=[], config_file=config_file) def test_no_modules(self) -> None: output = io.StringIO() with contextlib.redirect_stdout(output): test_stubs(parse_options([])) assert remove_color_code(output.getvalue()) == "error: no modules to check\n" def test_module_and_typeshed(self) -> None: output = io.StringIO() with contextlib.redirect_stdout(output): test_stubs(parse_options(["--check-typeshed", "some_module"])) assert remove_color_code(output.getvalue()) == ( "error: cannot pass both --check-typeshed and a list of modules\n" ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testsubtypes.py0000644000175100017510000003021215112307767017362 0ustar00runnerrunnerfrom __future__ import annotations from mypy.nodes import CONTRAVARIANT, COVARIANT, INVARIANT from mypy.subtypes import is_subtype from mypy.test.helpers import Suite from mypy.test.typefixture import InterfaceTypeFixture, TypeFixture from mypy.types import Instance, TupleType, Type, UninhabitedType, UnpackType class SubtypingSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture(INVARIANT) self.fx_contra = TypeFixture(CONTRAVARIANT) self.fx_co = TypeFixture(COVARIANT) def test_trivial_cases(self) -> None: for simple in self.fx_co.a, self.fx_co.o, self.fx_co.b: self.assert_subtype(simple, simple) def test_instance_subtyping(self) -> None: self.assert_strict_subtype(self.fx.a, self.fx.o) self.assert_strict_subtype(self.fx.b, self.fx.o) self.assert_strict_subtype(self.fx.b, self.fx.a) self.assert_not_subtype(self.fx.a, self.fx.d) self.assert_not_subtype(self.fx.b, self.fx.c) def test_simple_generic_instance_subtyping_invariant(self) -> None: self.assert_subtype(self.fx.ga, self.fx.ga) self.assert_subtype(self.fx.hab, self.fx.hab) self.assert_not_subtype(self.fx.ga, self.fx.g2a) self.assert_not_subtype(self.fx.ga, self.fx.gb) self.assert_not_subtype(self.fx.gb, self.fx.ga) def test_simple_generic_instance_subtyping_covariant(self) -> None: self.assert_subtype(self.fx_co.ga, self.fx_co.ga) self.assert_subtype(self.fx_co.hab, self.fx_co.hab) self.assert_not_subtype(self.fx_co.ga, self.fx_co.g2a) self.assert_not_subtype(self.fx_co.ga, self.fx_co.gb) self.assert_subtype(self.fx_co.gb, self.fx_co.ga) def test_simple_generic_instance_subtyping_contravariant(self) -> None: self.assert_subtype(self.fx_contra.ga, self.fx_contra.ga) self.assert_subtype(self.fx_contra.hab, self.fx_contra.hab) self.assert_not_subtype(self.fx_contra.ga, self.fx_contra.g2a) self.assert_subtype(self.fx_contra.ga, self.fx_contra.gb) self.assert_not_subtype(self.fx_contra.gb, self.fx_contra.ga) def test_generic_subtyping_with_inheritance_invariant(self) -> None: self.assert_subtype(self.fx.gsab, self.fx.gb) self.assert_not_subtype(self.fx.gsab, self.fx.ga) self.assert_not_subtype(self.fx.gsaa, self.fx.gb) def test_generic_subtyping_with_inheritance_covariant(self) -> None: self.assert_subtype(self.fx_co.gsab, self.fx_co.gb) self.assert_subtype(self.fx_co.gsab, self.fx_co.ga) self.assert_not_subtype(self.fx_co.gsaa, self.fx_co.gb) def test_generic_subtyping_with_inheritance_contravariant(self) -> None: self.assert_subtype(self.fx_contra.gsab, self.fx_contra.gb) self.assert_not_subtype(self.fx_contra.gsab, self.fx_contra.ga) self.assert_subtype(self.fx_contra.gsaa, self.fx_contra.gb) def test_interface_subtyping(self) -> None: self.assert_subtype(self.fx.e, self.fx.f) self.assert_equivalent(self.fx.f, self.fx.f) self.assert_not_subtype(self.fx.a, self.fx.f) def test_generic_interface_subtyping(self) -> None: # TODO make this work fx2 = InterfaceTypeFixture() self.assert_subtype(fx2.m1, fx2.gfa) self.assert_not_subtype(fx2.m1, fx2.gfb) self.assert_equivalent(fx2.gfa, fx2.gfa) def test_basic_callable_subtyping(self) -> None: self.assert_strict_subtype( self.fx.callable(self.fx.o, self.fx.d), self.fx.callable(self.fx.a, self.fx.d) ) self.assert_strict_subtype( self.fx.callable(self.fx.d, self.fx.b), self.fx.callable(self.fx.d, self.fx.a) ) self.assert_strict_subtype( self.fx.callable(self.fx.a, UninhabitedType()), self.fx.callable(self.fx.a, self.fx.a) ) self.assert_unrelated( self.fx.callable(self.fx.a, self.fx.a, self.fx.a), self.fx.callable(self.fx.a, self.fx.a), ) def test_default_arg_callable_subtyping(self) -> None: self.assert_strict_subtype( self.fx.callable_default(1, self.fx.a, self.fx.d, self.fx.a), self.fx.callable(self.fx.a, self.fx.d, self.fx.a), ) self.assert_strict_subtype( self.fx.callable_default(1, self.fx.a, self.fx.d, self.fx.a), self.fx.callable(self.fx.a, self.fx.a), ) self.assert_strict_subtype( self.fx.callable_default(0, self.fx.a, self.fx.d, self.fx.a), self.fx.callable_default(1, self.fx.a, self.fx.d, self.fx.a), ) self.assert_unrelated( self.fx.callable_default(1, self.fx.a, self.fx.d, self.fx.a), self.fx.callable(self.fx.d, self.fx.d, self.fx.a), ) self.assert_unrelated( self.fx.callable_default(0, self.fx.a, self.fx.d, self.fx.a), self.fx.callable_default(1, self.fx.a, self.fx.a, self.fx.a), ) self.assert_unrelated( self.fx.callable_default(1, self.fx.a, self.fx.a), self.fx.callable(self.fx.a, self.fx.a, self.fx.a), ) def test_var_arg_callable_subtyping_1(self) -> None: self.assert_strict_subtype( self.fx.callable_var_arg(0, self.fx.a, self.fx.a), self.fx.callable_var_arg(0, self.fx.b, self.fx.a), ) def test_var_arg_callable_subtyping_2(self) -> None: self.assert_strict_subtype( self.fx.callable_var_arg(0, self.fx.a, self.fx.a), self.fx.callable(self.fx.b, self.fx.a), ) def test_var_arg_callable_subtyping_3(self) -> None: self.assert_strict_subtype( self.fx.callable_var_arg(0, self.fx.a, self.fx.a), self.fx.callable(self.fx.a) ) def test_var_arg_callable_subtyping_4(self) -> None: self.assert_strict_subtype( self.fx.callable_var_arg(1, self.fx.a, self.fx.d, self.fx.a), self.fx.callable(self.fx.b, self.fx.a), ) def test_var_arg_callable_subtyping_5(self) -> None: self.assert_strict_subtype( self.fx.callable_var_arg(0, self.fx.a, self.fx.d, self.fx.a), self.fx.callable(self.fx.b, self.fx.a), ) def test_var_arg_callable_subtyping_6(self) -> None: self.assert_strict_subtype( self.fx.callable_var_arg(0, self.fx.a, self.fx.f, self.fx.d), self.fx.callable_var_arg(0, self.fx.b, self.fx.e, self.fx.d), ) def test_var_arg_callable_subtyping_7(self) -> None: self.assert_not_subtype( self.fx.callable_var_arg(0, self.fx.b, self.fx.d), self.fx.callable(self.fx.a, self.fx.d), ) def test_var_arg_callable_subtyping_8(self) -> None: self.assert_not_subtype( self.fx.callable_var_arg(0, self.fx.b, self.fx.d), self.fx.callable_var_arg(0, self.fx.a, self.fx.a, self.fx.d), ) self.assert_subtype( self.fx.callable_var_arg(0, self.fx.a, self.fx.d), self.fx.callable_var_arg(0, self.fx.b, self.fx.b, self.fx.d), ) def test_var_arg_callable_subtyping_9(self) -> None: self.assert_not_subtype( self.fx.callable_var_arg(0, self.fx.b, self.fx.b, self.fx.d), self.fx.callable_var_arg(0, self.fx.a, self.fx.d), ) self.assert_subtype( self.fx.callable_var_arg(0, self.fx.a, self.fx.a, self.fx.d), self.fx.callable_var_arg(0, self.fx.b, self.fx.d), ) def test_type_callable_subtyping(self) -> None: self.assert_subtype(self.fx.callable_type(self.fx.d, self.fx.a), self.fx.type_type) self.assert_strict_subtype( self.fx.callable_type(self.fx.d, self.fx.b), self.fx.callable(self.fx.d, self.fx.a) ) self.assert_strict_subtype( self.fx.callable_type(self.fx.a, self.fx.b), self.fx.callable(self.fx.a, self.fx.b) ) def test_type_var_tuple(self) -> None: self.assert_subtype(Instance(self.fx.gvi, []), Instance(self.fx.gvi, [])) self.assert_subtype( Instance(self.fx.gvi, [self.fx.a, self.fx.b]), Instance(self.fx.gvi, [self.fx.a, self.fx.b]), ) self.assert_not_subtype( Instance(self.fx.gvi, [self.fx.a, self.fx.b]), Instance(self.fx.gvi, [self.fx.b, self.fx.a]), ) self.assert_not_subtype( Instance(self.fx.gvi, [self.fx.a, self.fx.b]), Instance(self.fx.gvi, [self.fx.a]) ) self.assert_subtype( Instance(self.fx.gvi, [UnpackType(self.fx.ss)]), Instance(self.fx.gvi, [UnpackType(self.fx.ss)]), ) self.assert_not_subtype( Instance(self.fx.gvi, [UnpackType(self.fx.ss)]), Instance(self.fx.gvi, [UnpackType(self.fx.us)]), ) self.assert_not_subtype( Instance(self.fx.gvi, [UnpackType(self.fx.ss)]), Instance(self.fx.gvi, []) ) self.assert_not_subtype( Instance(self.fx.gvi, [UnpackType(self.fx.ss)]), Instance(self.fx.gvi, [self.fx.anyt]) ) def test_type_var_tuple_with_prefix_suffix(self) -> None: self.assert_subtype( Instance(self.fx.gvi, [self.fx.a, UnpackType(self.fx.ss)]), Instance(self.fx.gvi, [self.fx.a, UnpackType(self.fx.ss)]), ) self.assert_subtype( Instance(self.fx.gvi, [self.fx.a, self.fx.b, UnpackType(self.fx.ss)]), Instance(self.fx.gvi, [self.fx.a, self.fx.b, UnpackType(self.fx.ss)]), ) self.assert_not_subtype( Instance(self.fx.gvi, [self.fx.a, UnpackType(self.fx.ss)]), Instance(self.fx.gvi, [self.fx.b, UnpackType(self.fx.ss)]), ) self.assert_not_subtype( Instance(self.fx.gvi, [self.fx.a, UnpackType(self.fx.ss)]), Instance(self.fx.gvi, [self.fx.a, self.fx.b, UnpackType(self.fx.ss)]), ) self.assert_subtype( Instance(self.fx.gvi, [UnpackType(self.fx.ss), self.fx.a]), Instance(self.fx.gvi, [UnpackType(self.fx.ss), self.fx.a]), ) self.assert_not_subtype( Instance(self.fx.gvi, [UnpackType(self.fx.ss), self.fx.a]), Instance(self.fx.gvi, [UnpackType(self.fx.ss), self.fx.b]), ) self.assert_not_subtype( Instance(self.fx.gvi, [UnpackType(self.fx.ss), self.fx.a]), Instance(self.fx.gvi, [UnpackType(self.fx.ss), self.fx.a, self.fx.b]), ) self.assert_subtype( Instance(self.fx.gvi, [self.fx.a, self.fx.b, UnpackType(self.fx.ss), self.fx.c]), Instance(self.fx.gvi, [self.fx.a, self.fx.b, UnpackType(self.fx.ss), self.fx.c]), ) self.assert_not_subtype( Instance(self.fx.gvi, [self.fx.a, self.fx.b, UnpackType(self.fx.ss), self.fx.c]), Instance(self.fx.gvi, [self.fx.a, UnpackType(self.fx.ss), self.fx.b, self.fx.c]), ) def test_type_var_tuple_unpacked_variable_length_tuple(self) -> None: self.assert_subtype( Instance(self.fx.gvi, [self.fx.a, self.fx.a]), Instance(self.fx.gvi, [UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))]), ) def test_fallback_not_subtype_of_tuple(self) -> None: self.assert_not_subtype(self.fx.a, TupleType([self.fx.b], fallback=self.fx.a)) # IDEA: Maybe add these test cases (they are tested pretty well in type # checker tests already): # * more interface subtyping test cases # * more generic interface subtyping test cases # * type variables # * tuple types # * None type # * any type # * generic function types def assert_subtype(self, s: Type, t: Type) -> None: assert is_subtype(s, t), f"{s} not subtype of {t}" def assert_not_subtype(self, s: Type, t: Type) -> None: assert not is_subtype(s, t), f"{s} subtype of {t}" def assert_strict_subtype(self, s: Type, t: Type) -> None: self.assert_subtype(s, t) self.assert_not_subtype(t, s) def assert_equivalent(self, s: Type, t: Type) -> None: self.assert_subtype(s, t) self.assert_subtype(t, s) def assert_unrelated(self, s: Type, t: Type) -> None: self.assert_not_subtype(s, t) self.assert_not_subtype(t, s) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testtransform.py0000644000175100017510000000414715112307767017527 0ustar00runnerrunner"""Identity AST transform test cases""" from __future__ import annotations from mypy import build from mypy.errors import CompileError from mypy.modulefinder import BuildSource from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal, normalize_error_messages, parse_options from mypy.test.visitors import TypeAssertTransformVisitor class TransformSuite(DataSuite): required_out_section = True # Reuse semantic analysis test cases. files = [ "semanal-basic.test", "semanal-expressions.test", "semanal-classes.test", "semanal-types.test", "semanal-modules.test", "semanal-statements.test", "semanal-abstractclasses.test", ] native_sep = True def run_case(self, testcase: DataDrivenTestCase) -> None: test_transform(testcase) def test_transform(testcase: DataDrivenTestCase) -> None: """Perform an identity transform test case.""" try: src = "\n".join(testcase.input) options = parse_options(src, testcase, 1) options.use_builtins_fixtures = True options.semantic_analysis_only = True options.show_traceback = True result = build.build( sources=[BuildSource("main", None, src)], options=options, alt_lib_path=test_temp_dir ) a = result.errors if a: raise CompileError(a) # Include string representations of the source files in the actual # output. for module in sorted(result.files.keys()): if module in testcase.test_modules: t = TypeAssertTransformVisitor() t.test_only = True file = t.mypyfile(result.files[module]) a += file.str_with_options(options).split("\n") except CompileError as e: a = e.messages if testcase.normalize_output: a = normalize_error_messages(a) assert_string_arrays_equal( testcase.output, a, f"Invalid semantic analyzer output ({testcase.file}, line {testcase.line})", ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testtypegen.py0000644000175100017510000000603515112307767017165 0ustar00runnerrunner"""Test cases for the type checker: exporting inferred types""" from __future__ import annotations import re from mypy import build from mypy.errors import CompileError from mypy.modulefinder import BuildSource from mypy.nodes import NameExpr, TempNode from mypy.options import Options from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal from mypy.test.visitors import SkippedNodeSearcher, ignore_node from mypy.util import short_type class TypeExportSuite(DataSuite): required_out_section = True files = ["typexport-basic.test"] def run_case(self, testcase: DataDrivenTestCase) -> None: try: line = testcase.input[0] mask = "" if line.startswith("##"): mask = "(" + line[2:].strip() + ")$" src = "\n".join(testcase.input) options = Options() options.strict_optional = False # TODO: Enable strict optional checking options.use_builtins_fixtures = True options.show_traceback = True options.export_types = True options.preserve_asts = True options.allow_empty_bodies = True result = build.build( sources=[BuildSource("main", None, src)], options=options, alt_lib_path=test_temp_dir, ) a = result.errors map = result.types nodes = map.keys() # Ignore NameExpr nodes of variables with explicit (trivial) types # to simplify output. searcher = SkippedNodeSearcher() for file in result.files.values(): searcher.ignore_file = file.fullname not in testcase.test_modules file.accept(searcher) ignored = searcher.nodes # Filter nodes that should be included in the output. keys = [] for node in nodes: if isinstance(node, TempNode): continue if node.line != -1 and map[node]: if ignore_node(node) or node in ignored: continue if re.match(mask, short_type(node)) or ( isinstance(node, NameExpr) and re.match(mask, node.name) ): # Include node in output. keys.append(node) for key in sorted( keys, key=lambda n: (n.line, short_type(n), str(n) + map[n].str_with_options(options)), ): ts = map[key].str_with_options(options).replace("*", "") # Remove erased tags ts = ts.replace("__main__.", "") a.append(f"{short_type(key)}({key.line}) : {ts}") except CompileError as e: a = e.messages assert_string_arrays_equal( testcase.output, a, f"Invalid type checker output ({testcase.file}, line {testcase.line})", ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testtypes.py0000644000175100017510000017254515112307767016670 0ustar00runnerrunner"""Test cases for mypy types and type operations.""" from __future__ import annotations import re from unittest import TestCase, skipUnless from mypy.erasetype import erase_type, remove_instance_last_known_values from mypy.indirection import TypeIndirectionVisitor from mypy.join import join_types from mypy.meet import meet_types, narrow_declared_type from mypy.nodes import ( ARG_NAMED, ARG_OPT, ARG_POS, ARG_STAR, ARG_STAR2, CONTRAVARIANT, COVARIANT, INVARIANT, ArgKind, CallExpr, Expression, NameExpr, ) from mypy.plugins.common import find_shallow_matching_overload_item from mypy.state import state from mypy.subtypes import is_more_precise, is_proper_subtype, is_same_type, is_subtype from mypy.test.helpers import Suite, assert_equal, assert_type, skip from mypy.test.typefixture import InterfaceTypeFixture, TypeFixture from mypy.typeops import false_only, make_simplified_union, true_only from mypy.types import ( AnyType, CallableType, Instance, LiteralType, NoneType, Overloaded, ProperType, TupleType, Type, TypeOfAny, TypeType, TypeVarId, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, get_proper_type, has_recursive_types, ) # Solving the import cycle: import mypy.expandtype # ruff: isort: skip class TypesSuite(Suite): def setUp(self) -> None: self.x = UnboundType("X") # Helpers self.y = UnboundType("Y") self.fx = TypeFixture() self.function = self.fx.function def test_any(self) -> None: assert_equal(str(AnyType(TypeOfAny.special_form)), "Any") def test_simple_unbound_type(self) -> None: u = UnboundType("Foo") assert_equal(str(u), "Foo?") def test_generic_unbound_type(self) -> None: u = UnboundType("Foo", [UnboundType("T"), AnyType(TypeOfAny.special_form)]) assert_equal(str(u), "Foo?[T?, Any]") def test_callable_type(self) -> None: c = CallableType( [self.x, self.y], [ARG_POS, ARG_POS], [None, None], AnyType(TypeOfAny.special_form), self.function, ) assert_equal(str(c), "def (X?, Y?) -> Any") c2 = CallableType([], [], [], NoneType(), self.fx.function) assert_equal(str(c2), "def ()") def test_callable_type_with_default_args(self) -> None: c = CallableType( [self.x, self.y], [ARG_POS, ARG_OPT], [None, None], AnyType(TypeOfAny.special_form), self.function, ) assert_equal(str(c), "def (X?, Y? =) -> Any") c2 = CallableType( [self.x, self.y], [ARG_OPT, ARG_OPT], [None, None], AnyType(TypeOfAny.special_form), self.function, ) assert_equal(str(c2), "def (X? =, Y? =) -> Any") def test_callable_type_with_var_args(self) -> None: c = CallableType( [self.x], [ARG_STAR], [None], AnyType(TypeOfAny.special_form), self.function ) assert_equal(str(c), "def (*X?) -> Any") c2 = CallableType( [self.x, self.y], [ARG_POS, ARG_STAR], [None, None], AnyType(TypeOfAny.special_form), self.function, ) assert_equal(str(c2), "def (X?, *Y?) -> Any") c3 = CallableType( [self.x, self.y], [ARG_OPT, ARG_STAR], [None, None], AnyType(TypeOfAny.special_form), self.function, ) assert_equal(str(c3), "def (X? =, *Y?) -> Any") def test_tuple_type_str(self) -> None: t1 = TupleType([], self.fx.std_tuple) assert_equal(str(t1), "tuple[()]") t2 = TupleType([self.x], self.fx.std_tuple) assert_equal(str(t2), "tuple[X?]") t3 = TupleType([self.x, AnyType(TypeOfAny.special_form)], self.fx.std_tuple) assert_equal(str(t3), "tuple[X?, Any]") def test_type_variable_binding(self) -> None: assert_equal( str( TypeVarType( "X", "X", TypeVarId(1), [], self.fx.o, AnyType(TypeOfAny.from_omitted_generics) ) ), "X`1", ) assert_equal( str( TypeVarType( "X", "X", TypeVarId(1), [self.x, self.y], self.fx.o, AnyType(TypeOfAny.from_omitted_generics), ) ), "X`1", ) def test_generic_function_type(self) -> None: c = CallableType( [self.x, self.y], [ARG_POS, ARG_POS], [None, None], self.y, self.function, name=None, variables=[ TypeVarType( "X", "X", TypeVarId(-1), [], self.fx.o, AnyType(TypeOfAny.from_omitted_generics), ) ], ) assert_equal(str(c), "def [X] (X?, Y?) -> Y?") v = [ TypeVarType( "Y", "Y", TypeVarId(-1), [], self.fx.o, AnyType(TypeOfAny.from_omitted_generics) ), TypeVarType( "X", "X", TypeVarId(-2), [], self.fx.o, AnyType(TypeOfAny.from_omitted_generics) ), ] c2 = CallableType([], [], [], NoneType(), self.function, name=None, variables=v) assert_equal(str(c2), "def [Y, X] ()") def test_type_alias_expand_once(self) -> None: A, target = self.fx.def_alias_1(self.fx.a) assert get_proper_type(A) == target assert get_proper_type(target) == target A, target = self.fx.def_alias_2(self.fx.a) assert get_proper_type(A) == target assert get_proper_type(target) == target def test_recursive_nested_in_non_recursive(self) -> None: A, _ = self.fx.def_alias_1(self.fx.a) T = TypeVarType( "T", "T", TypeVarId(-1), [], self.fx.o, AnyType(TypeOfAny.from_omitted_generics) ) NA = self.fx.non_rec_alias(Instance(self.fx.gi, [T]), [T], [A]) assert not NA.is_recursive assert has_recursive_types(NA) def test_indirection_no_infinite_recursion(self) -> None: A, _ = self.fx.def_alias_1(self.fx.a) visitor = TypeIndirectionVisitor() A.accept(visitor) modules = visitor.modules assert modules == {"__main__", "builtins"} A, _ = self.fx.def_alias_2(self.fx.a) visitor = TypeIndirectionVisitor() A.accept(visitor) modules = visitor.modules assert modules == {"__main__", "builtins"} class TypeOpsSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture(INVARIANT) self.fx_co = TypeFixture(COVARIANT) self.fx_contra = TypeFixture(CONTRAVARIANT) # expand_type def test_trivial_expand(self) -> None: for t in ( self.fx.a, self.fx.o, self.fx.t, self.fx.nonet, self.tuple(self.fx.a), self.callable([], self.fx.a, self.fx.a), self.fx.anyt, ): self.assert_expand(t, [], t) self.assert_expand(t, [], t) self.assert_expand(t, [], t) def test_trivial_expand_recursive(self) -> None: A, _ = self.fx.def_alias_1(self.fx.a) self.assert_expand(A, [], A) A, _ = self.fx.def_alias_2(self.fx.a) self.assert_expand(A, [], A) def test_expand_naked_type_var(self) -> None: self.assert_expand(self.fx.t, [(self.fx.t.id, self.fx.a)], self.fx.a) self.assert_expand(self.fx.t, [(self.fx.s.id, self.fx.a)], self.fx.t) def test_expand_basic_generic_types(self) -> None: self.assert_expand(self.fx.gt, [(self.fx.t.id, self.fx.a)], self.fx.ga) # IDEA: Add test cases for # tuple types # callable types # multiple arguments def assert_expand( self, orig: Type, map_items: list[tuple[TypeVarId, Type]], result: Type ) -> None: lower_bounds = {} for id, t in map_items: lower_bounds[id] = t exp = mypy.expandtype.expand_type(orig, lower_bounds) # Remove erased tags (asterisks). assert_equal(str(exp).replace("*", ""), str(result)) # erase_type def test_trivial_erase(self) -> None: for t in (self.fx.a, self.fx.o, self.fx.nonet, self.fx.anyt): self.assert_erase(t, t) def test_erase_with_type_variable(self) -> None: self.assert_erase(self.fx.t, self.fx.anyt) def test_erase_with_generic_type(self) -> None: self.assert_erase(self.fx.ga, self.fx.gdyn) self.assert_erase(self.fx.hab, Instance(self.fx.hi, [self.fx.anyt, self.fx.anyt])) def test_erase_with_generic_type_recursive(self) -> None: tuple_any = Instance(self.fx.std_tuplei, [AnyType(TypeOfAny.explicit)]) A, _ = self.fx.def_alias_1(self.fx.a) self.assert_erase(A, tuple_any) A, _ = self.fx.def_alias_2(self.fx.a) self.assert_erase(A, UnionType([self.fx.a, tuple_any])) def test_erase_with_tuple_type(self) -> None: self.assert_erase(self.tuple(self.fx.a), self.fx.std_tuple) def test_erase_with_function_type(self) -> None: self.assert_erase( self.fx.callable(self.fx.a, self.fx.b), CallableType( arg_types=[self.fx.anyt, self.fx.anyt], arg_kinds=[ARG_STAR, ARG_STAR2], arg_names=[None, None], ret_type=self.fx.anyt, fallback=self.fx.function, ), ) def test_erase_with_type_object(self) -> None: self.assert_erase( self.fx.callable_type(self.fx.a, self.fx.b), CallableType( arg_types=[self.fx.anyt, self.fx.anyt], arg_kinds=[ARG_STAR, ARG_STAR2], arg_names=[None, None], ret_type=self.fx.anyt, fallback=self.fx.type_type, ), ) def test_erase_with_type_type(self) -> None: self.assert_erase(self.fx.type_a, self.fx.type_a) self.assert_erase(self.fx.type_t, self.fx.type_any) def assert_erase(self, orig: Type, result: Type) -> None: assert_equal(str(erase_type(orig)), str(result)) # is_more_precise def test_is_more_precise(self) -> None: fx = self.fx assert is_more_precise(fx.b, fx.a) assert is_more_precise(fx.b, fx.b) assert is_more_precise(fx.b, fx.b) assert is_more_precise(fx.b, fx.anyt) assert is_more_precise(self.tuple(fx.b, fx.a), self.tuple(fx.b, fx.a)) assert is_more_precise(self.tuple(fx.b, fx.b), self.tuple(fx.b, fx.a)) assert not is_more_precise(fx.a, fx.b) assert not is_more_precise(fx.anyt, fx.b) # is_proper_subtype def test_is_proper_subtype(self) -> None: fx = self.fx assert is_proper_subtype(fx.a, fx.a) assert is_proper_subtype(fx.b, fx.a) assert is_proper_subtype(fx.b, fx.o) assert is_proper_subtype(fx.b, fx.o) assert not is_proper_subtype(fx.a, fx.b) assert not is_proper_subtype(fx.o, fx.b) assert is_proper_subtype(fx.anyt, fx.anyt) assert not is_proper_subtype(fx.a, fx.anyt) assert not is_proper_subtype(fx.anyt, fx.a) assert is_proper_subtype(fx.ga, fx.ga) assert is_proper_subtype(fx.gdyn, fx.gdyn) assert not is_proper_subtype(fx.ga, fx.gdyn) assert not is_proper_subtype(fx.gdyn, fx.ga) assert is_proper_subtype(fx.t, fx.t) assert not is_proper_subtype(fx.t, fx.s) assert is_proper_subtype(fx.a, UnionType([fx.a, fx.b])) assert is_proper_subtype(UnionType([fx.a, fx.b]), UnionType([fx.a, fx.b, fx.c])) assert not is_proper_subtype(UnionType([fx.a, fx.b]), UnionType([fx.b, fx.c])) def test_is_proper_subtype_covariance(self) -> None: fx_co = self.fx_co assert is_proper_subtype(fx_co.gsab, fx_co.gb) assert is_proper_subtype(fx_co.gsab, fx_co.ga) assert not is_proper_subtype(fx_co.gsaa, fx_co.gb) assert is_proper_subtype(fx_co.gb, fx_co.ga) assert not is_proper_subtype(fx_co.ga, fx_co.gb) def test_is_proper_subtype_contravariance(self) -> None: fx_contra = self.fx_contra assert is_proper_subtype(fx_contra.gsab, fx_contra.gb) assert not is_proper_subtype(fx_contra.gsab, fx_contra.ga) assert is_proper_subtype(fx_contra.gsaa, fx_contra.gb) assert not is_proper_subtype(fx_contra.gb, fx_contra.ga) assert is_proper_subtype(fx_contra.ga, fx_contra.gb) def test_is_proper_subtype_invariance(self) -> None: fx = self.fx assert is_proper_subtype(fx.gsab, fx.gb) assert not is_proper_subtype(fx.gsab, fx.ga) assert not is_proper_subtype(fx.gsaa, fx.gb) assert not is_proper_subtype(fx.gb, fx.ga) assert not is_proper_subtype(fx.ga, fx.gb) def test_is_proper_subtype_and_subtype_literal_types(self) -> None: fx = self.fx lit1 = fx.lit1 lit2 = fx.lit2 lit3 = fx.lit3 assert is_proper_subtype(lit1, fx.a) assert not is_proper_subtype(lit1, fx.d) assert not is_proper_subtype(fx.a, lit1) assert is_proper_subtype(fx.uninhabited, lit1) assert not is_proper_subtype(lit1, fx.uninhabited) assert is_proper_subtype(lit1, lit1) assert not is_proper_subtype(lit1, lit2) assert not is_proper_subtype(lit2, lit3) assert is_subtype(lit1, fx.a) assert not is_subtype(lit1, fx.d) assert not is_subtype(fx.a, lit1) assert is_subtype(fx.uninhabited, lit1) assert not is_subtype(lit1, fx.uninhabited) assert is_subtype(lit1, lit1) assert not is_subtype(lit1, lit2) assert not is_subtype(lit2, lit3) assert not is_proper_subtype(lit1, fx.anyt) assert not is_proper_subtype(fx.anyt, lit1) assert is_subtype(lit1, fx.anyt) assert is_subtype(fx.anyt, lit1) def test_subtype_aliases(self) -> None: A1, _ = self.fx.def_alias_1(self.fx.a) AA1, _ = self.fx.def_alias_1(self.fx.a) assert is_subtype(A1, AA1) assert is_subtype(AA1, A1) A2, _ = self.fx.def_alias_2(self.fx.a) AA2, _ = self.fx.def_alias_2(self.fx.a) assert is_subtype(A2, AA2) assert is_subtype(AA2, A2) B1, _ = self.fx.def_alias_1(self.fx.b) B2, _ = self.fx.def_alias_2(self.fx.b) assert is_subtype(B1, A1) assert is_subtype(B2, A2) assert not is_subtype(A1, B1) assert not is_subtype(A2, B2) assert not is_subtype(A2, A1) assert is_subtype(A1, A2) # can_be_true / can_be_false def test_empty_tuple_always_false(self) -> None: tuple_type = self.tuple() assert tuple_type.can_be_false assert not tuple_type.can_be_true def test_nonempty_tuple_always_true(self) -> None: tuple_type = self.tuple(AnyType(TypeOfAny.special_form), AnyType(TypeOfAny.special_form)) assert tuple_type.can_be_true assert not tuple_type.can_be_false def test_union_can_be_true_if_any_true(self) -> None: union_type = UnionType([self.fx.a, self.tuple()]) assert union_type.can_be_true def test_union_can_not_be_true_if_none_true(self) -> None: union_type = UnionType([self.tuple(), self.tuple()]) assert not union_type.can_be_true def test_union_can_be_false_if_any_false(self) -> None: union_type = UnionType([self.fx.a, self.tuple()]) assert union_type.can_be_false def test_union_can_not_be_false_if_none_false(self) -> None: union_type = UnionType([self.tuple(self.fx.a), self.tuple(self.fx.d)]) assert not union_type.can_be_false # true_only / false_only def test_true_only_of_false_type_is_uninhabited(self) -> None: to = true_only(NoneType()) assert_type(UninhabitedType, to) def test_true_only_of_true_type_is_idempotent(self) -> None: always_true = self.tuple(AnyType(TypeOfAny.special_form)) to = true_only(always_true) assert always_true is to def test_true_only_of_instance(self) -> None: to = true_only(self.fx.a) assert_equal(str(to), "A") assert to.can_be_true assert not to.can_be_false assert_type(Instance, to) # The original class still can be false assert self.fx.a.can_be_false def test_true_only_of_union(self) -> None: tup_type = self.tuple(AnyType(TypeOfAny.special_form)) # Union of something that is unknown, something that is always true, something # that is always false union_type = UnionType([self.fx.a, tup_type, self.tuple()]) to = true_only(union_type) assert isinstance(to, UnionType) assert_equal(len(to.items), 2) assert to.items[0].can_be_true assert not to.items[0].can_be_false assert to.items[1] is tup_type def test_false_only_of_true_type_is_uninhabited(self) -> None: with state.strict_optional_set(True): fo = false_only(self.tuple(AnyType(TypeOfAny.special_form))) assert_type(UninhabitedType, fo) def test_false_only_tuple(self) -> None: with state.strict_optional_set(False): fo = false_only(self.tuple(self.fx.a)) assert_equal(fo, NoneType()) with state.strict_optional_set(True): fo = false_only(self.tuple(self.fx.a)) assert_equal(fo, UninhabitedType()) def test_false_only_of_false_type_is_idempotent(self) -> None: always_false = NoneType() fo = false_only(always_false) assert always_false is fo def test_false_only_of_instance(self) -> None: fo = false_only(self.fx.a) assert_equal(str(fo), "A") assert not fo.can_be_true assert fo.can_be_false assert_type(Instance, fo) # The original class still can be true assert self.fx.a.can_be_true def test_false_only_of_union(self) -> None: with state.strict_optional_set(True): tup_type = self.tuple() # Union of something that is unknown, something that is always true, something # that is always false union_type = UnionType( [self.fx.a, self.tuple(AnyType(TypeOfAny.special_form)), tup_type] ) assert_equal(len(union_type.items), 3) fo = false_only(union_type) assert isinstance(fo, UnionType) assert_equal(len(fo.items), 2) assert not fo.items[0].can_be_true assert fo.items[0].can_be_false assert fo.items[1] is tup_type def test_simplified_union(self) -> None: fx = self.fx self.assert_simplified_union([fx.a, fx.a], fx.a) self.assert_simplified_union([fx.a, fx.b], fx.a) self.assert_simplified_union([fx.a, fx.d], UnionType([fx.a, fx.d])) self.assert_simplified_union([fx.a, fx.uninhabited], fx.a) self.assert_simplified_union([fx.ga, fx.gs2a], fx.ga) self.assert_simplified_union([fx.ga, fx.gsab], UnionType([fx.ga, fx.gsab])) self.assert_simplified_union([fx.ga, fx.gsba], fx.ga) self.assert_simplified_union([fx.a, UnionType([fx.d])], UnionType([fx.a, fx.d])) self.assert_simplified_union([fx.a, UnionType([fx.a])], fx.a) self.assert_simplified_union( [fx.b, UnionType([fx.c, UnionType([fx.d])])], UnionType([fx.b, fx.c, fx.d]) ) def test_simplified_union_with_literals(self) -> None: fx = self.fx self.assert_simplified_union([fx.lit1, fx.a], fx.a) self.assert_simplified_union([fx.lit1, fx.lit2, fx.a], fx.a) self.assert_simplified_union([fx.lit1, fx.lit1], fx.lit1) self.assert_simplified_union([fx.lit1, fx.lit2], UnionType([fx.lit1, fx.lit2])) self.assert_simplified_union([fx.lit1, fx.lit3], UnionType([fx.lit1, fx.lit3])) self.assert_simplified_union([fx.lit1, fx.uninhabited], fx.lit1) self.assert_simplified_union([fx.lit1_inst, fx.a], fx.a) self.assert_simplified_union([fx.lit1_inst, fx.lit1_inst], fx.lit1_inst) self.assert_simplified_union( [fx.lit1_inst, fx.lit2_inst], UnionType([fx.lit1_inst, fx.lit2_inst]) ) self.assert_simplified_union( [fx.lit1_inst, fx.lit3_inst], UnionType([fx.lit1_inst, fx.lit3_inst]) ) self.assert_simplified_union([fx.lit1_inst, fx.uninhabited], fx.lit1_inst) self.assert_simplified_union([fx.lit1, fx.lit1_inst], fx.lit1) self.assert_simplified_union([fx.lit1, fx.lit2_inst], UnionType([fx.lit1, fx.lit2_inst])) self.assert_simplified_union([fx.lit1, fx.lit3_inst], UnionType([fx.lit1, fx.lit3_inst])) def test_simplified_union_with_str_literals(self) -> None: fx = self.fx self.assert_simplified_union([fx.lit_str1, fx.lit_str2, fx.str_type], fx.str_type) self.assert_simplified_union([fx.lit_str1, fx.lit_str1, fx.lit_str1], fx.lit_str1) self.assert_simplified_union( [fx.lit_str1, fx.lit_str2, fx.lit_str3], UnionType([fx.lit_str1, fx.lit_str2, fx.lit_str3]), ) self.assert_simplified_union( [fx.lit_str1, fx.lit_str2, fx.uninhabited], UnionType([fx.lit_str1, fx.lit_str2]) ) def test_simplify_very_large_union(self) -> None: fx = self.fx literals = [] for i in range(5000): literals.append(LiteralType("v%d" % i, fx.str_type)) # This shouldn't be very slow, even if the union is big. self.assert_simplified_union([*literals, fx.str_type], fx.str_type) def test_simplified_union_with_str_instance_literals(self) -> None: fx = self.fx self.assert_simplified_union( [fx.lit_str1_inst, fx.lit_str2_inst, fx.str_type], fx.str_type ) self.assert_simplified_union( [fx.lit_str1_inst, fx.lit_str1_inst, fx.lit_str1_inst], fx.lit_str1_inst ) self.assert_simplified_union( [fx.lit_str1_inst, fx.lit_str2_inst, fx.lit_str3_inst], UnionType([fx.lit_str1_inst, fx.lit_str2_inst, fx.lit_str3_inst]), ) self.assert_simplified_union( [fx.lit_str1_inst, fx.lit_str2_inst, fx.uninhabited], UnionType([fx.lit_str1_inst, fx.lit_str2_inst]), ) def test_simplified_union_with_mixed_str_literals(self) -> None: fx = self.fx self.assert_simplified_union( [fx.lit_str1, fx.lit_str2, fx.lit_str3_inst], UnionType([fx.lit_str1, fx.lit_str2, fx.lit_str3_inst]), ) self.assert_simplified_union([fx.lit_str1, fx.lit_str1, fx.lit_str1_inst], fx.lit_str1) def assert_simplified_union(self, original: list[Type], union: Type) -> None: assert_equal(make_simplified_union(original), union) assert_equal(make_simplified_union(list(reversed(original))), union) # Helpers def tuple(self, *a: Type) -> TupleType: return TupleType(list(a), self.fx.std_tuple) def callable(self, vars: list[str], *a: Type) -> CallableType: """callable(args, a1, ..., an, r) constructs a callable with argument types a1, ... an and return type r and type arguments vars. """ tv: list[TypeVarType] = [] n = -1 for v in vars: tv.append( TypeVarType( v, v, TypeVarId(n), [], self.fx.o, AnyType(TypeOfAny.from_omitted_generics) ) ) n -= 1 return CallableType( list(a[:-1]), [ARG_POS] * (len(a) - 1), [None] * (len(a) - 1), a[-1], self.fx.function, name=None, variables=tv, ) class JoinSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture(INVARIANT) self.fx_co = TypeFixture(COVARIANT) self.fx_contra = TypeFixture(CONTRAVARIANT) def test_trivial_cases(self) -> None: for simple in self.fx.a, self.fx.o, self.fx.b: self.assert_join(simple, simple, simple) def test_class_subtyping(self) -> None: self.assert_join(self.fx.a, self.fx.o, self.fx.o) self.assert_join(self.fx.b, self.fx.o, self.fx.o) self.assert_join(self.fx.a, self.fx.d, self.fx.o) self.assert_join(self.fx.b, self.fx.c, self.fx.a) self.assert_join(self.fx.b, self.fx.d, self.fx.o) def test_tuples(self) -> None: self.assert_join(self.tuple(), self.tuple(), self.tuple()) self.assert_join(self.tuple(self.fx.a), self.tuple(self.fx.a), self.tuple(self.fx.a)) self.assert_join( self.tuple(self.fx.b, self.fx.c), self.tuple(self.fx.a, self.fx.d), self.tuple(self.fx.a, self.fx.o), ) self.assert_join( self.tuple(self.fx.a, self.fx.a), self.fx.std_tuple, self.var_tuple(self.fx.anyt) ) self.assert_join( self.tuple(self.fx.a), self.tuple(self.fx.a, self.fx.a), self.var_tuple(self.fx.a) ) self.assert_join( self.tuple(self.fx.b), self.tuple(self.fx.a, self.fx.c), self.var_tuple(self.fx.a) ) self.assert_join(self.tuple(), self.tuple(self.fx.a), self.var_tuple(self.fx.a)) def test_var_tuples(self) -> None: self.assert_join( self.tuple(self.fx.a), self.var_tuple(self.fx.a), self.var_tuple(self.fx.a) ) self.assert_join( self.var_tuple(self.fx.a), self.tuple(self.fx.a), self.var_tuple(self.fx.a) ) self.assert_join(self.var_tuple(self.fx.a), self.tuple(), self.var_tuple(self.fx.a)) def test_function_types(self) -> None: self.assert_join( self.callable(self.fx.a, self.fx.b), self.callable(self.fx.a, self.fx.b), self.callable(self.fx.a, self.fx.b), ) self.assert_join( self.callable(self.fx.a, self.fx.b), self.callable(self.fx.b, self.fx.b), self.callable(self.fx.b, self.fx.b), ) self.assert_join( self.callable(self.fx.a, self.fx.b), self.callable(self.fx.a, self.fx.a), self.callable(self.fx.a, self.fx.a), ) self.assert_join(self.callable(self.fx.a, self.fx.b), self.fx.function, self.fx.function) self.assert_join( self.callable(self.fx.a, self.fx.b), self.callable(self.fx.d, self.fx.b), self.fx.function, ) def test_type_vars(self) -> None: self.assert_join(self.fx.t, self.fx.t, self.fx.t) self.assert_join(self.fx.s, self.fx.s, self.fx.s) self.assert_join(self.fx.t, self.fx.s, self.fx.o) def test_none(self) -> None: with state.strict_optional_set(False): # Any type t joined with None results in t. for t in [ NoneType(), self.fx.a, self.fx.o, UnboundType("x"), self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b), self.fx.anyt, ]: self.assert_join(t, NoneType(), t) def test_unbound_type(self) -> None: self.assert_join(UnboundType("x"), UnboundType("x"), self.fx.anyt) self.assert_join(UnboundType("x"), UnboundType("y"), self.fx.anyt) # Any type t joined with an unbound type results in dynamic. Unbound # type means that there is an error somewhere in the program, so this # does not affect type safety (whatever the result). for t in [ self.fx.a, self.fx.o, self.fx.ga, self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b), ]: self.assert_join(t, UnboundType("X"), self.fx.anyt) def test_any_type(self) -> None: # Join against 'Any' type always results in 'Any'. with state.strict_optional_set(False): self.assert_join(NoneType(), self.fx.anyt, self.fx.anyt) for t in [ self.fx.anyt, self.fx.a, self.fx.o, NoneType(), UnboundType("x"), self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b), ]: self.assert_join(t, self.fx.anyt, self.fx.anyt) def test_mixed_truth_restricted_type_simple(self) -> None: # make_simplified_union against differently restricted truthiness types drops restrictions. true_a = true_only(self.fx.a) false_o = false_only(self.fx.o) u = make_simplified_union([true_a, false_o]) assert u.can_be_true assert u.can_be_false def test_mixed_truth_restricted_type(self) -> None: # join_types against differently restricted truthiness types drops restrictions. true_any = true_only(AnyType(TypeOfAny.special_form)) false_o = false_only(self.fx.o) j = join_types(true_any, false_o) assert j.can_be_true assert j.can_be_false def test_other_mixed_types(self) -> None: # In general, joining unrelated types produces object. for t1 in [self.fx.a, self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b)]: for t2 in [self.fx.a, self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b)]: if str(t1) != str(t2): self.assert_join(t1, t2, self.fx.o) def test_simple_generics(self) -> None: with state.strict_optional_set(False): self.assert_join(self.fx.ga, self.fx.nonet, self.fx.ga) with state.strict_optional_set(True): self.assert_join(self.fx.ga, self.fx.nonet, UnionType([self.fx.ga, NoneType()])) self.assert_join(self.fx.ga, self.fx.anyt, self.fx.anyt) for t in [ self.fx.a, self.fx.o, self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b), ]: self.assert_join(t, self.fx.ga, self.fx.o) def test_generics_invariant(self) -> None: self.assert_join(self.fx.ga, self.fx.ga, self.fx.ga) self.assert_join(self.fx.ga, self.fx.gb, self.fx.o) self.assert_join(self.fx.ga, self.fx.gd, self.fx.o) self.assert_join(self.fx.ga, self.fx.g2a, self.fx.o) def test_generics_covariant(self) -> None: self.assert_join(self.fx_co.ga, self.fx_co.ga, self.fx_co.ga) self.assert_join(self.fx_co.ga, self.fx_co.gb, self.fx_co.ga) self.assert_join(self.fx_co.ga, self.fx_co.gd, self.fx_co.go) self.assert_join(self.fx_co.ga, self.fx_co.g2a, self.fx_co.o) def test_generics_contravariant(self) -> None: self.assert_join(self.fx_contra.ga, self.fx_contra.ga, self.fx_contra.ga) # TODO: this can be more precise than "object", see a comment in mypy/join.py self.assert_join(self.fx_contra.ga, self.fx_contra.gb, self.fx_contra.o) self.assert_join(self.fx_contra.ga, self.fx_contra.g2a, self.fx_contra.o) def test_generics_with_multiple_args(self) -> None: self.assert_join(self.fx_co.hab, self.fx_co.hab, self.fx_co.hab) self.assert_join(self.fx_co.hab, self.fx_co.hbb, self.fx_co.hab) self.assert_join(self.fx_co.had, self.fx_co.haa, self.fx_co.hao) def test_generics_with_inheritance(self) -> None: self.assert_join(self.fx_co.gsab, self.fx_co.gb, self.fx_co.gb) self.assert_join(self.fx_co.gsba, self.fx_co.gb, self.fx_co.ga) self.assert_join(self.fx_co.gsab, self.fx_co.gd, self.fx_co.go) def test_generics_with_inheritance_and_shared_supertype(self) -> None: self.assert_join(self.fx_co.gsba, self.fx_co.gs2a, self.fx_co.ga) self.assert_join(self.fx_co.gsab, self.fx_co.gs2a, self.fx_co.ga) self.assert_join(self.fx_co.gsab, self.fx_co.gs2d, self.fx_co.go) def test_generic_types_and_any(self) -> None: self.assert_join(self.fx.gdyn, self.fx.ga, self.fx.gdyn) self.assert_join(self.fx_co.gdyn, self.fx_co.ga, self.fx_co.gdyn) self.assert_join(self.fx_contra.gdyn, self.fx_contra.ga, self.fx_contra.gdyn) def test_callables_with_any(self) -> None: self.assert_join( self.callable(self.fx.a, self.fx.a, self.fx.anyt, self.fx.a), self.callable(self.fx.a, self.fx.anyt, self.fx.a, self.fx.anyt), self.callable(self.fx.a, self.fx.anyt, self.fx.anyt, self.fx.anyt), ) def test_overloaded(self) -> None: c = self.callable def ov(*items: CallableType) -> Overloaded: return Overloaded(list(items)) fx = self.fx func = fx.function c1 = c(fx.a, fx.a) c2 = c(fx.b, fx.b) c3 = c(fx.c, fx.c) self.assert_join(ov(c1, c2), c1, c1) self.assert_join(ov(c1, c2), c2, c2) self.assert_join(ov(c1, c2), ov(c1, c2), ov(c1, c2)) self.assert_join(ov(c1, c2), ov(c1, c3), c1) self.assert_join(ov(c2, c1), ov(c3, c1), c1) self.assert_join(ov(c1, c2), c3, func) def test_overloaded_with_any(self) -> None: c = self.callable def ov(*items: CallableType) -> Overloaded: return Overloaded(list(items)) fx = self.fx any = fx.anyt self.assert_join(ov(c(fx.a, fx.a), c(fx.b, fx.b)), c(any, fx.b), c(any, fx.b)) self.assert_join(ov(c(fx.a, fx.a), c(any, fx.b)), c(fx.b, fx.b), c(any, fx.b)) def test_join_interface_types(self) -> None: self.assert_join(self.fx.f, self.fx.f, self.fx.f) self.assert_join(self.fx.f, self.fx.f2, self.fx.o) self.assert_join(self.fx.f, self.fx.f3, self.fx.f) def test_join_interface_and_class_types(self) -> None: self.assert_join(self.fx.o, self.fx.f, self.fx.o) self.assert_join(self.fx.a, self.fx.f, self.fx.o) self.assert_join(self.fx.e, self.fx.f, self.fx.f) @skip def test_join_class_types_with_interface_result(self) -> None: # Unique result self.assert_join(self.fx.e, self.fx.e2, self.fx.f) # Ambiguous result self.assert_join(self.fx.e2, self.fx.e3, self.fx.anyt) @skip def test_generic_interfaces(self) -> None: fx = InterfaceTypeFixture() self.assert_join(fx.gfa, fx.gfa, fx.gfa) self.assert_join(fx.gfa, fx.gfb, fx.o) self.assert_join(fx.m1, fx.gfa, fx.gfa) self.assert_join(fx.m1, fx.gfb, fx.o) def test_simple_type_objects(self) -> None: t1 = self.type_callable(self.fx.a, self.fx.a) t2 = self.type_callable(self.fx.b, self.fx.b) tr = self.type_callable(self.fx.b, self.fx.a) self.assert_join(t1, t1, t1) j = join_types(t1, t1) assert isinstance(j, CallableType) assert j.is_type_obj() self.assert_join(t1, t2, tr) self.assert_join(t1, self.fx.type_type, self.fx.type_type) self.assert_join(self.fx.type_type, self.fx.type_type, self.fx.type_type) def test_type_type(self) -> None: self.assert_join(self.fx.type_a, self.fx.type_b, self.fx.type_a) self.assert_join(self.fx.type_b, self.fx.type_any, self.fx.type_any) self.assert_join(self.fx.type_b, self.fx.type_type, self.fx.type_type) self.assert_join(self.fx.type_b, self.fx.type_c, self.fx.type_a) self.assert_join(self.fx.type_c, self.fx.type_d, TypeType.make_normalized(self.fx.o)) self.assert_join(self.fx.type_type, self.fx.type_any, self.fx.type_type) self.assert_join(self.fx.type_b, self.fx.anyt, self.fx.anyt) def test_literal_type(self) -> None: a = self.fx.a d = self.fx.d lit1 = self.fx.lit1 lit2 = self.fx.lit2 lit3 = self.fx.lit3 self.assert_join(lit1, lit1, lit1) self.assert_join(lit1, a, a) self.assert_join(lit1, d, self.fx.o) self.assert_join(lit1, lit2, a) self.assert_join(lit1, lit3, self.fx.o) self.assert_join(lit1, self.fx.anyt, self.fx.anyt) self.assert_join(UnionType([lit1, lit2]), lit2, UnionType([lit1, lit2])) self.assert_join(UnionType([lit1, lit2]), a, a) self.assert_join(UnionType([lit1, lit3]), a, UnionType([a, lit3])) self.assert_join(UnionType([d, lit3]), lit3, d) self.assert_join(UnionType([d, lit3]), d, UnionType([d, lit3])) self.assert_join(UnionType([a, lit1]), lit1, a) self.assert_join(UnionType([a, lit1]), lit2, a) self.assert_join(UnionType([lit1, lit2]), UnionType([lit1, lit2]), UnionType([lit1, lit2])) # The order in which we try joining two unions influences the # ordering of the items in the final produced unions. So, we # manually call 'assert_simple_join' and tune the output # after swapping the arguments here. self.assert_simple_join( UnionType([lit1, lit2]), UnionType([lit2, lit3]), UnionType([lit1, lit2, lit3]) ) self.assert_simple_join( UnionType([lit2, lit3]), UnionType([lit1, lit2]), UnionType([lit2, lit3, lit1]) ) def test_variadic_tuple_joins(self) -> None: # These tests really test just the "arity", to be sure it is handled correctly. self.assert_join( self.tuple(self.fx.a, self.fx.a), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), Instance(self.fx.std_tuplei, [self.fx.a]), ) self.assert_join( self.tuple(self.fx.a, self.fx.a), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a), ) self.assert_join( self.tuple(self.fx.a, self.fx.a), self.tuple(self.fx.a, UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), self.tuple(self.fx.a, UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), ) self.assert_join( self.tuple( self.fx.a, UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a ), self.tuple( self.fx.a, UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a ), self.tuple( self.fx.a, UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a ), ) self.assert_join( self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), self.tuple( self.fx.a, UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a ), Instance(self.fx.std_tuplei, [self.fx.a]), ) self.assert_join( self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), Instance(self.fx.std_tuplei, [self.fx.a]), ) self.assert_join( self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a), self.tuple( self.fx.b, UnpackType(Instance(self.fx.std_tuplei, [self.fx.b])), self.fx.b ), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a), ) def test_join_type_type_type_var(self) -> None: self.assert_join(self.fx.type_a, self.fx.t, self.fx.o) self.assert_join(self.fx.t, self.fx.type_a, self.fx.o) # There are additional test cases in check-inference.test. # TODO: Function types + varargs and default args. def assert_join(self, s: Type, t: Type, join: Type) -> None: self.assert_simple_join(s, t, join) self.assert_simple_join(t, s, join) def assert_simple_join(self, s: Type, t: Type, join: Type) -> None: result = join_types(s, t) actual = str(result) expected = str(join) assert_equal(actual, expected, f"join({s}, {t}) == {{}} ({{}} expected)") assert is_subtype(s, result), f"{s} not subtype of {result}" assert is_subtype(t, result), f"{t} not subtype of {result}" def tuple(self, *a: Type) -> TupleType: return TupleType(list(a), self.fx.std_tuple) def var_tuple(self, t: Type) -> Instance: """Construct a variable-length tuple type""" return Instance(self.fx.std_tuplei, [t]) def callable(self, *a: Type) -> CallableType: """callable(a1, ..., an, r) constructs a callable with argument types a1, ... an and return type r. """ n = len(a) - 1 return CallableType(list(a[:-1]), [ARG_POS] * n, [None] * n, a[-1], self.fx.function) def type_callable(self, *a: Type) -> CallableType: """type_callable(a1, ..., an, r) constructs a callable with argument types a1, ... an and return type r, and which represents a type. """ n = len(a) - 1 return CallableType(list(a[:-1]), [ARG_POS] * n, [None] * n, a[-1], self.fx.type_type) class MeetSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture() def test_trivial_cases(self) -> None: for simple in self.fx.a, self.fx.o, self.fx.b: self.assert_meet(simple, simple, simple) def test_class_subtyping(self) -> None: self.assert_meet(self.fx.a, self.fx.o, self.fx.a) self.assert_meet(self.fx.a, self.fx.b, self.fx.b) self.assert_meet(self.fx.b, self.fx.o, self.fx.b) self.assert_meet(self.fx.a, self.fx.d, UninhabitedType()) self.assert_meet(self.fx.b, self.fx.c, UninhabitedType()) def test_tuples(self) -> None: self.assert_meet(self.tuple(), self.tuple(), self.tuple()) self.assert_meet(self.tuple(self.fx.a), self.tuple(self.fx.a), self.tuple(self.fx.a)) self.assert_meet( self.tuple(self.fx.b, self.fx.c), self.tuple(self.fx.a, self.fx.d), self.tuple(self.fx.b, UninhabitedType()), ) self.assert_meet( self.tuple(self.fx.a, self.fx.a), self.fx.std_tuple, self.tuple(self.fx.a, self.fx.a) ) self.assert_meet( self.tuple(self.fx.a), self.tuple(self.fx.a, self.fx.a), UninhabitedType() ) def test_function_types(self) -> None: self.assert_meet( self.callable(self.fx.a, self.fx.b), self.callable(self.fx.a, self.fx.b), self.callable(self.fx.a, self.fx.b), ) self.assert_meet( self.callable(self.fx.a, self.fx.b), self.callable(self.fx.b, self.fx.b), self.callable(self.fx.a, self.fx.b), ) self.assert_meet( self.callable(self.fx.a, self.fx.b), self.callable(self.fx.a, self.fx.a), self.callable(self.fx.a, self.fx.b), ) def test_type_vars(self) -> None: self.assert_meet(self.fx.t, self.fx.t, self.fx.t) self.assert_meet(self.fx.s, self.fx.s, self.fx.s) self.assert_meet(self.fx.t, self.fx.s, UninhabitedType()) def test_none(self) -> None: self.assert_meet(NoneType(), NoneType(), NoneType()) self.assert_meet(NoneType(), self.fx.anyt, NoneType()) # Any type t joined with None results in None, unless t is Any. with state.strict_optional_set(False): for t in [ self.fx.a, self.fx.o, UnboundType("x"), self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b), ]: self.assert_meet(t, NoneType(), NoneType()) with state.strict_optional_set(True): self.assert_meet(self.fx.o, NoneType(), NoneType()) for t in [ self.fx.a, UnboundType("x"), self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b), ]: self.assert_meet(t, NoneType(), UninhabitedType()) def test_unbound_type(self) -> None: self.assert_meet(UnboundType("x"), UnboundType("x"), self.fx.anyt) self.assert_meet(UnboundType("x"), UnboundType("y"), self.fx.anyt) self.assert_meet(UnboundType("x"), self.fx.anyt, UnboundType("x")) # The meet of any type t with an unbound type results in dynamic. # Unbound type means that there is an error somewhere in the program, # so this does not affect type safety. for t in [ self.fx.a, self.fx.o, self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b), ]: self.assert_meet(t, UnboundType("X"), self.fx.anyt) def test_dynamic_type(self) -> None: # Meet against dynamic type always results in dynamic. for t in [ self.fx.anyt, self.fx.a, self.fx.o, NoneType(), UnboundType("x"), self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b), ]: self.assert_meet(t, self.fx.anyt, t) def test_simple_generics(self) -> None: self.assert_meet(self.fx.ga, self.fx.ga, self.fx.ga) self.assert_meet(self.fx.ga, self.fx.o, self.fx.ga) self.assert_meet(self.fx.ga, self.fx.gb, self.fx.gb) self.assert_meet(self.fx.ga, self.fx.gd, UninhabitedType()) self.assert_meet(self.fx.ga, self.fx.g2a, UninhabitedType()) self.assert_meet(self.fx.ga, self.fx.nonet, UninhabitedType()) self.assert_meet(self.fx.ga, self.fx.anyt, self.fx.ga) for t in [self.fx.a, self.fx.t, self.tuple(), self.callable(self.fx.a, self.fx.b)]: self.assert_meet(t, self.fx.ga, UninhabitedType()) def test_generics_with_multiple_args(self) -> None: self.assert_meet(self.fx.hab, self.fx.hab, self.fx.hab) self.assert_meet(self.fx.hab, self.fx.haa, self.fx.hab) self.assert_meet(self.fx.hab, self.fx.had, UninhabitedType()) self.assert_meet(self.fx.hab, self.fx.hbb, self.fx.hbb) def test_generics_with_inheritance(self) -> None: self.assert_meet(self.fx.gsab, self.fx.gb, self.fx.gsab) self.assert_meet(self.fx.gsba, self.fx.gb, UninhabitedType()) def test_generics_with_inheritance_and_shared_supertype(self) -> None: self.assert_meet(self.fx.gsba, self.fx.gs2a, UninhabitedType()) self.assert_meet(self.fx.gsab, self.fx.gs2a, UninhabitedType()) def test_generic_types_and_dynamic(self) -> None: self.assert_meet(self.fx.gdyn, self.fx.ga, self.fx.ga) def test_callables_with_dynamic(self) -> None: self.assert_meet( self.callable(self.fx.a, self.fx.a, self.fx.anyt, self.fx.a), self.callable(self.fx.a, self.fx.anyt, self.fx.a, self.fx.anyt), self.callable(self.fx.a, self.fx.anyt, self.fx.anyt, self.fx.anyt), ) def test_meet_interface_types(self) -> None: self.assert_meet(self.fx.f, self.fx.f, self.fx.f) self.assert_meet(self.fx.f, self.fx.f2, UninhabitedType()) self.assert_meet(self.fx.f, self.fx.f3, self.fx.f3) def test_meet_interface_and_class_types(self) -> None: self.assert_meet(self.fx.o, self.fx.f, self.fx.f) self.assert_meet(self.fx.a, self.fx.f, UninhabitedType()) self.assert_meet(self.fx.e, self.fx.f, self.fx.e) def test_meet_class_types_with_shared_interfaces(self) -> None: # These have nothing special with respect to meets, unlike joins. These # are for completeness only. self.assert_meet(self.fx.e, self.fx.e2, UninhabitedType()) self.assert_meet(self.fx.e2, self.fx.e3, UninhabitedType()) def test_meet_with_generic_interfaces(self) -> None: fx = InterfaceTypeFixture() self.assert_meet(fx.gfa, fx.m1, fx.m1) self.assert_meet(fx.gfa, fx.gfa, fx.gfa) self.assert_meet(fx.gfb, fx.m1, UninhabitedType()) def test_type_type(self) -> None: self.assert_meet(self.fx.type_a, self.fx.type_b, self.fx.type_b) self.assert_meet(self.fx.type_b, self.fx.type_any, self.fx.type_b) self.assert_meet(self.fx.type_b, self.fx.type_type, self.fx.type_b) self.assert_meet(self.fx.type_b, self.fx.type_c, self.fx.type_never) self.assert_meet(self.fx.type_c, self.fx.type_d, self.fx.type_never) self.assert_meet(self.fx.type_type, self.fx.type_any, self.fx.type_any) self.assert_meet(self.fx.type_b, self.fx.anyt, self.fx.type_b) def test_literal_type(self) -> None: a = self.fx.a lit1 = self.fx.lit1 lit2 = self.fx.lit2 lit3 = self.fx.lit3 self.assert_meet(lit1, lit1, lit1) self.assert_meet(lit1, a, lit1) self.assert_meet_uninhabited(lit1, lit3) self.assert_meet_uninhabited(lit1, lit2) self.assert_meet(UnionType([lit1, lit2]), lit1, lit1) self.assert_meet(UnionType([lit1, lit2]), UnionType([lit2, lit3]), lit2) self.assert_meet(UnionType([lit1, lit2]), UnionType([lit1, lit2]), UnionType([lit1, lit2])) self.assert_meet(lit1, self.fx.anyt, lit1) self.assert_meet(lit1, self.fx.o, lit1) assert is_same_type(lit1, narrow_declared_type(lit1, a)) assert is_same_type(lit2, narrow_declared_type(lit2, a)) # FIX generic interfaces + ranges def assert_meet_uninhabited(self, s: Type, t: Type) -> None: with state.strict_optional_set(False): self.assert_meet(s, t, self.fx.nonet) with state.strict_optional_set(True): self.assert_meet(s, t, self.fx.uninhabited) def test_variadic_tuple_meets(self) -> None: # These tests really test just the "arity", to be sure it is handled correctly. self.assert_meet( self.tuple(self.fx.a, self.fx.a), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), self.tuple(self.fx.a, self.fx.a), ) self.assert_meet( self.tuple(self.fx.a, self.fx.a), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a), self.tuple(self.fx.a, self.fx.a), ) self.assert_meet( self.tuple(self.fx.a, self.fx.a), self.tuple(self.fx.a, UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), self.tuple(self.fx.a, self.fx.a), ) self.assert_meet( self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a]))), ) self.assert_meet( self.tuple(UnpackType(Instance(self.fx.std_tuplei, [self.fx.a])), self.fx.a), self.tuple(self.fx.b, UnpackType(Instance(self.fx.std_tuplei, [self.fx.b]))), self.tuple(self.fx.b, UnpackType(Instance(self.fx.std_tuplei, [self.fx.b]))), ) def assert_meet(self, s: Type, t: Type, meet: Type) -> None: self.assert_simple_meet(s, t, meet) self.assert_simple_meet(t, s, meet) def assert_simple_meet(self, s: Type, t: Type, meet: Type) -> None: result = meet_types(s, t) actual = str(result) expected = str(meet) assert_equal(actual, expected, f"meet({s}, {t}) == {{}} ({{}} expected)") assert is_subtype(result, s), f"{result} not subtype of {s}" assert is_subtype(result, t), f"{result} not subtype of {t}" def tuple(self, *a: Type) -> TupleType: return TupleType(list(a), self.fx.std_tuple) def callable(self, *a: Type) -> CallableType: """callable(a1, ..., an, r) constructs a callable with argument types a1, ... an and return type r. """ n = len(a) - 1 return CallableType(list(a[:-1]), [ARG_POS] * n, [None] * n, a[-1], self.fx.function) class SameTypeSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture() def test_literal_type(self) -> None: a = self.fx.a b = self.fx.b # Reminder: b is a subclass of a lit1 = self.fx.lit1 lit2 = self.fx.lit2 lit3 = self.fx.lit3 self.assert_same(lit1, lit1) self.assert_same(UnionType([lit1, lit2]), UnionType([lit1, lit2])) self.assert_same(UnionType([lit1, lit2]), UnionType([lit2, lit1])) self.assert_same(UnionType([a, b]), UnionType([b, a])) self.assert_not_same(lit1, b) self.assert_not_same(lit1, lit2) self.assert_not_same(lit1, lit3) self.assert_not_same(lit1, self.fx.anyt) self.assert_not_same(lit1, self.fx.nonet) def assert_same(self, s: Type, t: Type, strict: bool = True) -> None: self.assert_simple_is_same(s, t, expected=True, strict=strict) self.assert_simple_is_same(t, s, expected=True, strict=strict) def assert_not_same(self, s: Type, t: Type, strict: bool = True) -> None: self.assert_simple_is_same(s, t, False, strict=strict) self.assert_simple_is_same(t, s, False, strict=strict) def assert_simple_is_same(self, s: Type, t: Type, expected: bool, strict: bool) -> None: actual = is_same_type(s, t) assert_equal(actual, expected, f"is_same_type({s}, {t}) is {{}} ({{}} expected)") if strict: actual2 = s == t assert_equal(actual2, expected, f"({s} == {t}) is {{}} ({{}} expected)") assert_equal( hash(s) == hash(t), expected, f"(hash({s}) == hash({t}) is {{}} ({{}} expected)" ) class RemoveLastKnownValueSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture() def test_optional(self) -> None: t = UnionType.make_union([self.fx.a, self.fx.nonet]) self.assert_union_result(t, [self.fx.a, self.fx.nonet]) def test_two_instances(self) -> None: t = UnionType.make_union([self.fx.a, self.fx.b]) self.assert_union_result(t, [self.fx.a, self.fx.b]) def test_multiple_same_instances(self) -> None: t = UnionType.make_union([self.fx.a, self.fx.a]) assert remove_instance_last_known_values(t) == self.fx.a t = UnionType.make_union([self.fx.a, self.fx.a, self.fx.b]) self.assert_union_result(t, [self.fx.a, self.fx.b]) t = UnionType.make_union([self.fx.a, self.fx.nonet, self.fx.a, self.fx.b]) self.assert_union_result(t, [self.fx.a, self.fx.nonet, self.fx.b]) def test_single_last_known_value(self) -> None: t = UnionType.make_union([self.fx.lit1_inst, self.fx.nonet]) self.assert_union_result(t, [self.fx.a, self.fx.nonet]) def test_last_known_values_with_merge(self) -> None: t = UnionType.make_union([self.fx.lit1_inst, self.fx.lit2_inst, self.fx.lit4_inst]) assert remove_instance_last_known_values(t) == self.fx.a t = UnionType.make_union( [self.fx.lit1_inst, self.fx.b, self.fx.lit2_inst, self.fx.lit4_inst] ) self.assert_union_result(t, [self.fx.a, self.fx.b]) def test_generics(self) -> None: t = UnionType.make_union([self.fx.ga, self.fx.gb]) self.assert_union_result(t, [self.fx.ga, self.fx.gb]) def assert_union_result(self, t: ProperType, expected: list[Type]) -> None: t2 = remove_instance_last_known_values(t) assert type(t2) is UnionType assert t2.items == expected class ShallowOverloadMatchingSuite(Suite): def setUp(self) -> None: self.fx = TypeFixture() def test_simple(self) -> None: fx = self.fx ov = self.make_overload([[("x", fx.anyt, ARG_NAMED)], [("y", fx.anyt, ARG_NAMED)]]) # Match first only self.assert_find_shallow_matching_overload_item(ov, make_call(("foo", "x")), 0) # Match second only self.assert_find_shallow_matching_overload_item(ov, make_call(("foo", "y")), 1) # No match -- invalid keyword arg name self.assert_find_shallow_matching_overload_item(ov, make_call(("foo", "z")), 1) # No match -- missing arg self.assert_find_shallow_matching_overload_item(ov, make_call(), 1) # No match -- extra arg self.assert_find_shallow_matching_overload_item( ov, make_call(("foo", "x"), ("foo", "z")), 1 ) def test_match_using_types(self) -> None: fx = self.fx ov = self.make_overload( [ [("x", fx.nonet, ARG_POS)], [("x", fx.lit_false, ARG_POS)], [("x", fx.lit_true, ARG_POS)], [("x", fx.anyt, ARG_POS)], ] ) self.assert_find_shallow_matching_overload_item(ov, make_call(("None", None)), 0) self.assert_find_shallow_matching_overload_item(ov, make_call(("builtins.False", None)), 1) self.assert_find_shallow_matching_overload_item(ov, make_call(("builtins.True", None)), 2) self.assert_find_shallow_matching_overload_item(ov, make_call(("foo", None)), 3) def test_none_special_cases(self) -> None: fx = self.fx ov = self.make_overload( [[("x", fx.callable(fx.nonet), ARG_POS)], [("x", fx.nonet, ARG_POS)]] ) self.assert_find_shallow_matching_overload_item(ov, make_call(("None", None)), 1) self.assert_find_shallow_matching_overload_item(ov, make_call(("func", None)), 0) ov = self.make_overload([[("x", fx.str_type, ARG_POS)], [("x", fx.nonet, ARG_POS)]]) self.assert_find_shallow_matching_overload_item(ov, make_call(("None", None)), 1) self.assert_find_shallow_matching_overload_item(ov, make_call(("func", None)), 0) ov = self.make_overload( [[("x", UnionType([fx.str_type, fx.a]), ARG_POS)], [("x", fx.nonet, ARG_POS)]] ) self.assert_find_shallow_matching_overload_item(ov, make_call(("None", None)), 1) self.assert_find_shallow_matching_overload_item(ov, make_call(("func", None)), 0) ov = self.make_overload([[("x", fx.o, ARG_POS)], [("x", fx.nonet, ARG_POS)]]) self.assert_find_shallow_matching_overload_item(ov, make_call(("None", None)), 0) self.assert_find_shallow_matching_overload_item(ov, make_call(("func", None)), 0) ov = self.make_overload( [[("x", UnionType([fx.str_type, fx.nonet]), ARG_POS)], [("x", fx.nonet, ARG_POS)]] ) self.assert_find_shallow_matching_overload_item(ov, make_call(("None", None)), 0) self.assert_find_shallow_matching_overload_item(ov, make_call(("func", None)), 0) ov = self.make_overload([[("x", fx.anyt, ARG_POS)], [("x", fx.nonet, ARG_POS)]]) self.assert_find_shallow_matching_overload_item(ov, make_call(("None", None)), 0) self.assert_find_shallow_matching_overload_item(ov, make_call(("func", None)), 0) def test_optional_arg(self) -> None: fx = self.fx ov = self.make_overload( [[("x", fx.anyt, ARG_NAMED)], [("y", fx.anyt, ARG_OPT)], [("z", fx.anyt, ARG_NAMED)]] ) self.assert_find_shallow_matching_overload_item(ov, make_call(), 1) self.assert_find_shallow_matching_overload_item(ov, make_call(("foo", "x")), 0) self.assert_find_shallow_matching_overload_item(ov, make_call(("foo", "y")), 1) self.assert_find_shallow_matching_overload_item(ov, make_call(("foo", "z")), 2) def test_two_args(self) -> None: fx = self.fx ov = self.make_overload( [ [("x", fx.nonet, ARG_OPT), ("y", fx.anyt, ARG_OPT)], [("x", fx.anyt, ARG_OPT), ("y", fx.anyt, ARG_OPT)], ] ) self.assert_find_shallow_matching_overload_item(ov, make_call(), 0) self.assert_find_shallow_matching_overload_item(ov, make_call(("None", "x")), 0) self.assert_find_shallow_matching_overload_item(ov, make_call(("foo", "x")), 1) self.assert_find_shallow_matching_overload_item( ov, make_call(("foo", "y"), ("None", "x")), 0 ) self.assert_find_shallow_matching_overload_item( ov, make_call(("foo", "y"), ("bar", "x")), 1 ) def assert_find_shallow_matching_overload_item( self, ov: Overloaded, call: CallExpr, expected_index: int ) -> None: c = find_shallow_matching_overload_item(ov, call) assert c in ov.items assert ov.items.index(c) == expected_index def make_overload(self, items: list[list[tuple[str, Type, ArgKind]]]) -> Overloaded: result = [] for item in items: arg_types = [] arg_names = [] arg_kinds = [] for name, typ, kind in item: arg_names.append(name) arg_types.append(typ) arg_kinds.append(kind) result.append( CallableType( arg_types, arg_kinds, arg_names, ret_type=NoneType(), fallback=self.fx.o ) ) return Overloaded(result) def make_call(*items: tuple[str, str | None]) -> CallExpr: args: list[Expression] = [] arg_names = [] arg_kinds = [] for arg, name in items: shortname = arg.split(".")[-1] n = NameExpr(shortname) n.fullname = arg args.append(n) arg_names.append(name) if name: arg_kinds.append(ARG_NAMED) else: arg_kinds.append(ARG_POS) return CallExpr(NameExpr("f"), args, arg_kinds, arg_names) class TestExpandTypeLimitGetProperType(TestCase): # WARNING: do not increase this number unless absolutely necessary, # and you understand what you are doing. ALLOWED_GET_PROPER_TYPES = 7 @skipUnless(mypy.expandtype.__file__.endswith(".py"), "Skip for compiled mypy") def test_count_get_proper_type(self) -> None: with open(mypy.expandtype.__file__) as f: code = f.read() get_proper_type_count = len(re.findall(r"get_proper_type\(", code)) get_proper_type_count -= len(re.findall(r"get_proper_type\(\)", code)) assert get_proper_type_count == self.ALLOWED_GET_PROPER_TYPES ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/testutil.py0000644000175100017510000001021115112307767016456 0ustar00runnerrunnerfrom __future__ import annotations import os from unittest import TestCase, mock from mypy.inspections import parse_location from mypy.util import _generate_junit_contents, get_terminal_width class TestGetTerminalSize(TestCase): def test_get_terminal_size_in_pty_defaults_to_80(self) -> None: # when run using a pty, `os.get_terminal_size()` returns `0, 0` ret = os.terminal_size((0, 0)) mock_environ = os.environ.copy() mock_environ.pop("COLUMNS", None) with mock.patch.object(os, "get_terminal_size", return_value=ret): with mock.patch.dict(os.environ, values=mock_environ, clear=True): assert get_terminal_width() == 80 def test_parse_location_windows(self) -> None: assert parse_location(r"C:\test.py:1:1") == (r"C:\test.py", [1, 1]) assert parse_location(r"C:\test.py:1:1:1:1") == (r"C:\test.py", [1, 1, 1, 1]) class TestWriteJunitXml(TestCase): def test_junit_pass(self) -> None: serious = False messages_by_file: dict[str | None, list[str]] = {} expected = """ """ result = _generate_junit_contents( dt=1.23, serious=serious, messages_by_file=messages_by_file, version="3.14", platform="test-plat", ) assert result == expected def test_junit_fail_escape_xml_chars(self) -> None: serious = False messages_by_file: dict[str | None, list[str]] = { "file1.py": ["Test failed", "another line < > &"] } expected = """ Test failed another line < > & """ result = _generate_junit_contents( dt=1.23, serious=serious, messages_by_file=messages_by_file, version="3.14", platform="test-plat", ) assert result == expected def test_junit_fail_two_files(self) -> None: serious = False messages_by_file: dict[str | None, list[str]] = { "file1.py": ["Test failed", "another line"], "file2.py": ["Another failure", "line 2"], } expected = """ Test failed another line Another failure line 2 """ result = _generate_junit_contents( dt=1.23, serious=serious, messages_by_file=messages_by_file, version="3.14", platform="test-plat", ) assert result == expected def test_serious_error(self) -> None: serious = True messages_by_file: dict[str | None, list[str]] = {None: ["Error line 1", "Error line 2"]} expected = """ Error line 1 Error line 2 """ result = _generate_junit_contents( dt=1.23, serious=serious, messages_by_file=messages_by_file, version="3.14", platform="test-plat", ) assert result == expected ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/typefixture.py0000644000175100017510000003721615112307767017207 0ustar00runnerrunner"""Fixture used in type-related test cases. It contains class TypeInfos and Type objects. """ from __future__ import annotations from mypy.nodes import ( ARG_OPT, ARG_POS, ARG_STAR, COVARIANT, MDEF, Block, ClassDef, FuncDef, SymbolTable, SymbolTableNode, TypeAlias, TypeInfo, ) from mypy.semanal_shared import set_callable_name from mypy.types import ( AnyType, CallableType, Instance, LiteralType, NoneType, Type, TypeAliasType, TypeOfAny, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, UninhabitedType, UnionType, ) class TypeFixture: """Helper class that is used as a fixture in type-related unit tests. The members are initialized to contain various type-related values. """ def __init__(self, variance: int = COVARIANT) -> None: # The 'object' class self.oi = self.make_type_info("builtins.object") # class object self.o = Instance(self.oi, []) # object # Type variables (these are effectively global) def make_type_var( name: str, id: int, values: list[Type], upper_bound: Type, variance: int ) -> TypeVarType: return TypeVarType( name, name, TypeVarId(id), values, upper_bound, AnyType(TypeOfAny.from_omitted_generics), variance, ) self.t = make_type_var("T", 1, [], self.o, variance) # T`1 (type variable) self.tf = make_type_var("T", -1, [], self.o, variance) # T`-1 (type variable) self.tf2 = make_type_var("T", -2, [], self.o, variance) # T`-2 (type variable) self.s = make_type_var("S", 2, [], self.o, variance) # S`2 (type variable) self.s1 = make_type_var("S", 1, [], self.o, variance) # S`1 (type variable) self.sf = make_type_var("S", -2, [], self.o, variance) # S`-2 (type variable) self.sf1 = make_type_var("S", -1, [], self.o, variance) # S`-1 (type variable) self.u = make_type_var("U", 3, [], self.o, variance) # U`3 (type variable) # Simple types self.anyt = AnyType(TypeOfAny.special_form) self.nonet = NoneType() self.uninhabited = UninhabitedType() self.a_uninhabited = UninhabitedType() self.a_uninhabited.ambiguous = True # Abstract class TypeInfos # class F self.fi = self.make_type_info("F", is_abstract=True) # class F2 self.f2i = self.make_type_info("F2", is_abstract=True) # class F3(F) self.f3i = self.make_type_info("F3", is_abstract=True, mro=[self.fi]) # Class TypeInfos self.std_tuplei = self.make_type_info( "builtins.tuple", mro=[self.oi], typevars=["T"], variances=[COVARIANT] ) # class tuple self.type_typei = self.make_type_info("builtins.type") # class type self.bool_type_info = self.make_type_info("builtins.bool") self.str_type_info = self.make_type_info("builtins.str") self.functioni = self.make_type_info("builtins.function") # function TODO self.ai = self.make_type_info("A", mro=[self.oi]) # class A self.bi = self.make_type_info("B", mro=[self.ai, self.oi]) # class B(A) self.ci = self.make_type_info("C", mro=[self.ai, self.oi]) # class C(A) self.di = self.make_type_info("D", mro=[self.oi]) # class D # class E(F) self.ei = self.make_type_info("E", mro=[self.fi, self.oi]) # class E2(F2, F) self.e2i = self.make_type_info("E2", mro=[self.f2i, self.fi, self.oi]) # class E3(F, F2) self.e3i = self.make_type_info("E3", mro=[self.fi, self.f2i, self.oi]) # Generic class TypeInfos # G[T] self.gi = self.make_type_info("G", mro=[self.oi], typevars=["T"], variances=[variance]) # G2[T] self.g2i = self.make_type_info("G2", mro=[self.oi], typevars=["T"], variances=[variance]) # H[S, T] self.hi = self.make_type_info( "H", mro=[self.oi], typevars=["S", "T"], variances=[variance, variance] ) # GS[T, S] <: G[S] self.gsi = self.make_type_info( "GS", mro=[self.gi, self.oi], typevars=["T", "S"], variances=[variance, variance], bases=[Instance(self.gi, [self.s])], ) # GS2[S] <: G[S] self.gs2i = self.make_type_info( "GS2", mro=[self.gi, self.oi], typevars=["S"], variances=[variance], bases=[Instance(self.gi, [self.s1])], ) # list[T] self.std_listi = self.make_type_info( "builtins.list", mro=[self.oi], typevars=["T"], variances=[variance] ) # Instance types self.std_tuple = Instance(self.std_tuplei, [self.anyt]) # tuple self.type_type = Instance(self.type_typei, []) # type self.function = Instance(self.functioni, []) # function TODO self.str_type = Instance(self.str_type_info, []) self.bool_type = Instance(self.bool_type_info, []) self.a = Instance(self.ai, []) # A self.b = Instance(self.bi, []) # B self.c = Instance(self.ci, []) # C self.d = Instance(self.di, []) # D self.e = Instance(self.ei, []) # E self.e2 = Instance(self.e2i, []) # E2 self.e3 = Instance(self.e3i, []) # E3 self.f = Instance(self.fi, []) # F self.f2 = Instance(self.f2i, []) # F2 self.f3 = Instance(self.f3i, []) # F3 # Generic instance types self.ga = Instance(self.gi, [self.a]) # G[A] self.gb = Instance(self.gi, [self.b]) # G[B] self.gd = Instance(self.gi, [self.d]) # G[D] self.go = Instance(self.gi, [self.o]) # G[object] self.gt = Instance(self.gi, [self.t]) # G[T`1] self.gtf = Instance(self.gi, [self.tf]) # G[T`-1] self.gtf2 = Instance(self.gi, [self.tf2]) # G[T`-2] self.gs = Instance(self.gi, [self.s]) # G[S] self.gdyn = Instance(self.gi, [self.anyt]) # G[Any] self.gn = Instance(self.gi, [NoneType()]) # G[None] self.g2a = Instance(self.g2i, [self.a]) # G2[A] self.gsaa = Instance(self.gsi, [self.a, self.a]) # GS[A, A] self.gsab = Instance(self.gsi, [self.a, self.b]) # GS[A, B] self.gsba = Instance(self.gsi, [self.b, self.a]) # GS[B, A] self.gs2a = Instance(self.gs2i, [self.a]) # GS2[A] self.gs2b = Instance(self.gs2i, [self.b]) # GS2[B] self.gs2d = Instance(self.gs2i, [self.d]) # GS2[D] self.hab = Instance(self.hi, [self.a, self.b]) # H[A, B] self.haa = Instance(self.hi, [self.a, self.a]) # H[A, A] self.hbb = Instance(self.hi, [self.b, self.b]) # H[B, B] self.hts = Instance(self.hi, [self.t, self.s]) # H[T, S] self.had = Instance(self.hi, [self.a, self.d]) # H[A, D] self.hao = Instance(self.hi, [self.a, self.o]) # H[A, object] self.lsta = Instance(self.std_listi, [self.a]) # List[A] self.lstb = Instance(self.std_listi, [self.b]) # List[B] self.lit1 = LiteralType(1, self.a) self.lit2 = LiteralType(2, self.a) self.lit3 = LiteralType("foo", self.d) self.lit4 = LiteralType(4, self.a) self.lit1_inst = Instance(self.ai, [], last_known_value=self.lit1) self.lit2_inst = Instance(self.ai, [], last_known_value=self.lit2) self.lit3_inst = Instance(self.di, [], last_known_value=self.lit3) self.lit4_inst = Instance(self.ai, [], last_known_value=self.lit4) self.lit_str1 = LiteralType("x", self.str_type) self.lit_str2 = LiteralType("y", self.str_type) self.lit_str3 = LiteralType("z", self.str_type) self.lit_str1_inst = Instance(self.str_type_info, [], last_known_value=self.lit_str1) self.lit_str2_inst = Instance(self.str_type_info, [], last_known_value=self.lit_str2) self.lit_str3_inst = Instance(self.str_type_info, [], last_known_value=self.lit_str3) self.lit_false = LiteralType(False, self.bool_type) self.lit_true = LiteralType(True, self.bool_type) self.type_a = TypeType.make_normalized(self.a) self.type_b = TypeType.make_normalized(self.b) self.type_c = TypeType.make_normalized(self.c) self.type_d = TypeType.make_normalized(self.d) self.type_t = TypeType.make_normalized(self.t) self.type_any = TypeType.make_normalized(self.anyt) self.type_never = TypeType.make_normalized(UninhabitedType()) self._add_bool_dunder(self.bool_type_info) self._add_bool_dunder(self.ai) # TypeVars with non-trivial bounds self.ub = make_type_var("UB", 5, [], self.b, variance) # UB`5 (type variable) self.uc = make_type_var("UC", 6, [], self.c, variance) # UC`6 (type variable) def make_type_var_tuple(name: str, id: int, upper_bound: Type) -> TypeVarTupleType: return TypeVarTupleType( name, name, TypeVarId(id), upper_bound, self.std_tuple, AnyType(TypeOfAny.from_omitted_generics), ) obj_tuple = self.std_tuple.copy_modified(args=[self.o]) self.ts = make_type_var_tuple("Ts", 1, obj_tuple) # Ts`1 (type var tuple) self.ss = make_type_var_tuple("Ss", 2, obj_tuple) # Ss`2 (type var tuple) self.us = make_type_var_tuple("Us", 3, obj_tuple) # Us`3 (type var tuple) self.gvi = self.make_type_info("GV", mro=[self.oi], typevars=["Ts"], typevar_tuple_index=0) self.gv2i = self.make_type_info( "GV2", mro=[self.oi], typevars=["T", "Ts", "S"], typevar_tuple_index=1 ) def _add_bool_dunder(self, type_info: TypeInfo) -> None: signature = CallableType([], [], [], Instance(self.bool_type_info, []), self.function) bool_func = FuncDef("__bool__", [], Block([])) bool_func.type = set_callable_name(signature, bool_func) type_info.names[bool_func.name] = SymbolTableNode(MDEF, bool_func) # Helper methods def callable(self, *a: Type) -> CallableType: """callable(a1, ..., an, r) constructs a callable with argument types a1, ... an and return type r. """ return CallableType( list(a[:-1]), [ARG_POS] * (len(a) - 1), [None] * (len(a) - 1), a[-1], self.function ) def callable_type(self, *a: Type) -> CallableType: """callable_type(a1, ..., an, r) constructs a callable with argument types a1, ... an and return type r, and which represents a type. """ return CallableType( list(a[:-1]), [ARG_POS] * (len(a) - 1), [None] * (len(a) - 1), a[-1], self.type_type ) def callable_default(self, min_args: int, *a: Type) -> CallableType: """callable_default(min_args, a1, ..., an, r) constructs a callable with argument types a1, ... an and return type r, with min_args mandatory fixed arguments. """ n = len(a) - 1 return CallableType( list(a[:-1]), [ARG_POS] * min_args + [ARG_OPT] * (n - min_args), [None] * n, a[-1], self.function, ) def callable_var_arg(self, min_args: int, *a: Type) -> CallableType: """callable_var_arg(min_args, a1, ..., an, r) constructs a callable with argument types a1, ... *an and return type r. """ n = len(a) - 1 return CallableType( list(a[:-1]), [ARG_POS] * min_args + [ARG_OPT] * (n - 1 - min_args) + [ARG_STAR], [None] * n, a[-1], self.function, ) def make_type_info( self, name: str, module_name: str | None = None, is_abstract: bool = False, mro: list[TypeInfo] | None = None, bases: list[Instance] | None = None, typevars: list[str] | None = None, typevar_tuple_index: int | None = None, variances: list[int] | None = None, ) -> TypeInfo: """Make a TypeInfo suitable for use in unit tests.""" class_def = ClassDef(name, Block([]), None, []) class_def.fullname = name if module_name is None: if "." in name: module_name = name.rsplit(".", 1)[0] else: module_name = "__main__" if typevars: v: list[TypeVarLikeType] = [] for id, n in enumerate(typevars, 1): if typevar_tuple_index is not None and id - 1 == typevar_tuple_index: v.append( TypeVarTupleType( n, n, TypeVarId(id), self.std_tuple.copy_modified(args=[self.o]), self.std_tuple.copy_modified(args=[self.o]), AnyType(TypeOfAny.from_omitted_generics), ) ) else: if variances: variance = variances[id - 1] else: variance = COVARIANT v.append( TypeVarType( n, n, TypeVarId(id), [], self.o, AnyType(TypeOfAny.from_omitted_generics), variance=variance, ) ) class_def.type_vars = v info = TypeInfo(SymbolTable(), class_def, module_name) if mro is None: mro = [] if name != "builtins.object": mro.append(self.oi) info.mro = [info] + mro if bases is None: if mro: # By default, assume that there is a single non-generic base. bases = [Instance(mro[0], [])] else: bases = [] info.bases = bases return info def def_alias_1(self, base: Instance) -> tuple[TypeAliasType, Type]: A = TypeAliasType(None, []) target = Instance( self.std_tuplei, [UnionType([base, A])] ) # A = Tuple[Union[base, A], ...] AN = TypeAlias(target, "__main__.A", "__main__", -1, -1) A.alias = AN return A, target def def_alias_2(self, base: Instance) -> tuple[TypeAliasType, Type]: A = TypeAliasType(None, []) target = UnionType( [base, Instance(self.std_tuplei, [A])] ) # A = Union[base, Tuple[A, ...]] AN = TypeAlias(target, "__main__.A", "__main__", -1, -1) A.alias = AN return A, target def non_rec_alias( self, target: Type, alias_tvars: list[TypeVarLikeType] | None = None, args: list[Type] | None = None, ) -> TypeAliasType: AN = TypeAlias(target, "__main__.A", "__main__", -1, -1, alias_tvars=alias_tvars) if args is None: args = [] return TypeAliasType(AN, args) class InterfaceTypeFixture(TypeFixture): """Extension of TypeFixture that contains additional generic interface types.""" def __init__(self) -> None: super().__init__() # GF[T] self.gfi = self.make_type_info("GF", typevars=["T"], is_abstract=True) # M1 <: GF[A] self.m1i = self.make_type_info( "M1", is_abstract=True, mro=[self.gfi, self.oi], bases=[Instance(self.gfi, [self.a])] ) self.gfa = Instance(self.gfi, [self.a]) # GF[A] self.gfb = Instance(self.gfi, [self.b]) # GF[B] self.m1 = Instance(self.m1i, []) # M1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/update_data.py0000644000175100017510000000714515112307767017070 0ustar00runnerrunnerfrom __future__ import annotations import re from collections import defaultdict from collections.abc import Iterator from mypy.test.data import DataDrivenTestCase, DataFileCollector, DataFileFix, parse_test_data def update_testcase_output( testcase: DataDrivenTestCase, actual: list[str], *, incremental_step: int ) -> None: if testcase.xfail: return collector = testcase.parent assert isinstance(collector, DataFileCollector) for fix in _iter_fixes(testcase, actual, incremental_step=incremental_step): collector.enqueue_fix(fix) def _iter_fixes( testcase: DataDrivenTestCase, actual: list[str], *, incremental_step: int ) -> Iterator[DataFileFix]: reports_by_line: dict[tuple[str, int], list[tuple[str, str]]] = defaultdict(list) for error_line in actual: comment_match = re.match( r"^(?P[^:]+):(?P\d+): (?Perror|note|warning): (?P.+)$", error_line, ) if comment_match: filename = comment_match.group("filename") lineno = int(comment_match.group("lineno")) severity = comment_match.group("severity") msg = comment_match.group("msg") reports_by_line[filename, lineno].append((severity, msg)) test_items = parse_test_data(testcase.data, testcase.name) # If we have [out] and/or [outN], we update just those sections. if any(re.match(r"^out\d*$", test_item.id) for test_item in test_items): for test_item in test_items: if (incremental_step < 2 and test_item.id == "out") or ( incremental_step >= 2 and test_item.id == f"out{incremental_step}" ): yield DataFileFix( lineno=testcase.line + test_item.line - 1, end_lineno=testcase.line + test_item.end_line - 1, lines=actual + [""] * test_item.trimmed_newlines, ) return # Update assertion comments within the sections for test_item in test_items: if test_item.id == "case": source_lines = test_item.data file_path = "main" elif test_item.id == "file": source_lines = test_item.data file_path = f"tmp/{test_item.arg}" else: continue # other sections we don't touch fix_lines = [] for lineno, source_line in enumerate(source_lines, start=1): reports = reports_by_line.get((file_path, lineno)) comment_match = re.search(r"(?P\s+)(?P# [EWN]: .+)$", source_line) if comment_match: source_line = source_line[: comment_match.start("indent")] # strip old comment if reports: indent = comment_match.group("indent") if comment_match else " " # multiline comments are on the first line and then on subsequent lines empty lines # with a continuation backslash for j, (severity, msg) in enumerate(reports): out_l = source_line if j == 0 else " " * len(source_line) is_last = j == len(reports) - 1 severity_char = severity[0].upper() continuation = "" if is_last else " \\" fix_lines.append(f"{out_l}{indent}# {severity_char}: {msg}{continuation}") else: fix_lines.append(source_line) yield DataFileFix( lineno=testcase.line + test_item.line - 1, end_lineno=testcase.line + test_item.end_line - 1, lines=fix_lines + [""] * test_item.trimmed_newlines, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/test/visitors.py0000644000175100017510000000405115112307767016470 0ustar00runnerrunner"""Visitor classes pulled out from different tests These are here because we don't currently support having interpreted classes subtype compiled ones but pytest grabs the python file even if the test was compiled. """ from __future__ import annotations from mypy.nodes import AssignmentStmt, CallExpr, Expression, IntExpr, NameExpr, Node, TypeVarExpr from mypy.traverser import TraverserVisitor from mypy.treetransform import TransformVisitor from mypy.types import Type # from testtypegen class SkippedNodeSearcher(TraverserVisitor): def __init__(self) -> None: self.nodes: set[Node] = set() self.ignore_file = False def visit_assignment_stmt(self, s: AssignmentStmt) -> None: if s.type or ignore_node(s.rvalue): for lvalue in s.lvalues: if isinstance(lvalue, NameExpr): self.nodes.add(lvalue) super().visit_assignment_stmt(s) def visit_name_expr(self, n: NameExpr) -> None: if self.ignore_file: self.nodes.add(n) super().visit_name_expr(n) def visit_int_expr(self, n: IntExpr) -> None: if self.ignore_file: self.nodes.add(n) super().visit_int_expr(n) def ignore_node(node: Expression) -> bool: """Return True if node is to be omitted from test case output.""" # We want to get rid of object() expressions in the typing module stub # and also TypeVar(...) expressions. Since detecting whether a node comes # from the typing module is not easy, we just to strip them all away. if isinstance(node, TypeVarExpr): return True if isinstance(node, NameExpr) and node.fullname == "builtins.object": return True if isinstance(node, NameExpr) and node.fullname == "builtins.None": return True if isinstance(node, CallExpr) and (ignore_node(node.callee) or node.analyzed): return True return False # from testtransform class TypeAssertTransformVisitor(TransformVisitor): def type(self, type: Type) -> Type: assert type is not None return type ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/traverser.py0000644000175100017510000007361315112307767015656 0ustar00runnerrunner"""Generic node traverser visitor""" from __future__ import annotations from mypy_extensions import mypyc_attr, trait from mypy.nodes import ( REVEAL_TYPE, AssertStmt, AssertTypeExpr, AssignmentExpr, AssignmentStmt, AwaitExpr, Block, BreakStmt, BytesExpr, CallExpr, CastExpr, ClassDef, ComparisonExpr, ComplexExpr, ConditionalExpr, ContinueStmt, Decorator, DelStmt, DictExpr, DictionaryComprehension, EllipsisExpr, EnumCallExpr, Expression, ExpressionStmt, FloatExpr, ForStmt, FuncBase, FuncDef, FuncItem, GeneratorExpr, GlobalDecl, IfStmt, Import, ImportAll, ImportFrom, IndexExpr, IntExpr, LambdaExpr, ListComprehension, ListExpr, MatchStmt, MemberExpr, MypyFile, NamedTupleExpr, NameExpr, NewTypeExpr, Node, NonlocalDecl, OperatorAssignmentStmt, OpExpr, OverloadedFuncDef, ParamSpecExpr, PassStmt, PromoteExpr, RaiseStmt, ReturnStmt, RevealExpr, SetComprehension, SetExpr, SliceExpr, StarExpr, StrExpr, SuperExpr, TempNode, TryStmt, TupleExpr, TypeAlias, TypeAliasExpr, TypeAliasStmt, TypeApplication, TypedDictExpr, TypeFormExpr, TypeVarExpr, TypeVarTupleExpr, UnaryExpr, Var, WhileStmt, WithStmt, YieldExpr, YieldFromExpr, ) from mypy.patterns import ( AsPattern, ClassPattern, MappingPattern, OrPattern, SequencePattern, SingletonPattern, StarredPattern, ValuePattern, ) from mypy.visitor import NodeVisitor @trait @mypyc_attr(allow_interpreted_subclasses=True) class TraverserVisitor(NodeVisitor[None]): """A parse tree visitor that traverses the parse tree during visiting. It does not perform any actions outside the traversal. Subclasses should override visit methods to perform actions during traversal. Calling the superclass method allows reusing the traversal implementation. """ def __init__(self) -> None: pass # Visit methods def visit_mypy_file(self, o: MypyFile, /) -> None: for d in o.defs: d.accept(self) def visit_block(self, block: Block, /) -> None: for s in block.body: s.accept(self) def visit_func(self, o: FuncItem, /) -> None: if o.arguments is not None: for arg in o.arguments: init = arg.initializer if init is not None: init.accept(self) for arg in o.arguments: self.visit_var(arg.variable) o.body.accept(self) def visit_func_def(self, o: FuncDef, /) -> None: self.visit_func(o) def visit_overloaded_func_def(self, o: OverloadedFuncDef, /) -> None: for item in o.items: item.accept(self) if o.impl: o.impl.accept(self) def visit_class_def(self, o: ClassDef, /) -> None: for d in o.decorators: d.accept(self) for base in o.base_type_exprs: base.accept(self) if o.metaclass: o.metaclass.accept(self) for v in o.keywords.values(): v.accept(self) o.defs.accept(self) if o.analyzed: o.analyzed.accept(self) def visit_decorator(self, o: Decorator, /) -> None: o.func.accept(self) o.var.accept(self) for decorator in o.decorators: decorator.accept(self) def visit_expression_stmt(self, o: ExpressionStmt, /) -> None: o.expr.accept(self) def visit_assignment_stmt(self, o: AssignmentStmt, /) -> None: o.rvalue.accept(self) for l in o.lvalues: l.accept(self) def visit_operator_assignment_stmt(self, o: OperatorAssignmentStmt, /) -> None: o.rvalue.accept(self) o.lvalue.accept(self) def visit_while_stmt(self, o: WhileStmt, /) -> None: o.expr.accept(self) o.body.accept(self) if o.else_body: o.else_body.accept(self) def visit_for_stmt(self, o: ForStmt, /) -> None: o.index.accept(self) o.expr.accept(self) o.body.accept(self) if o.else_body: o.else_body.accept(self) def visit_return_stmt(self, o: ReturnStmt, /) -> None: if o.expr is not None: o.expr.accept(self) def visit_assert_stmt(self, o: AssertStmt, /) -> None: if o.expr is not None: o.expr.accept(self) if o.msg is not None: o.msg.accept(self) def visit_del_stmt(self, o: DelStmt, /) -> None: if o.expr is not None: o.expr.accept(self) def visit_if_stmt(self, o: IfStmt, /) -> None: for e in o.expr: e.accept(self) for b in o.body: b.accept(self) if o.else_body: o.else_body.accept(self) def visit_raise_stmt(self, o: RaiseStmt, /) -> None: if o.expr is not None: o.expr.accept(self) if o.from_expr is not None: o.from_expr.accept(self) def visit_try_stmt(self, o: TryStmt, /) -> None: o.body.accept(self) for i in range(len(o.types)): tp = o.types[i] if tp is not None: tp.accept(self) o.handlers[i].accept(self) for v in o.vars: if v is not None: v.accept(self) if o.else_body is not None: o.else_body.accept(self) if o.finally_body is not None: o.finally_body.accept(self) def visit_with_stmt(self, o: WithStmt, /) -> None: for i in range(len(o.expr)): o.expr[i].accept(self) targ = o.target[i] if targ is not None: targ.accept(self) o.body.accept(self) def visit_match_stmt(self, o: MatchStmt, /) -> None: o.subject.accept(self) for i in range(len(o.patterns)): o.patterns[i].accept(self) guard = o.guards[i] if guard is not None: guard.accept(self) o.bodies[i].accept(self) def visit_type_alias_stmt(self, o: TypeAliasStmt, /) -> None: o.name.accept(self) o.value.accept(self) def visit_member_expr(self, o: MemberExpr, /) -> None: o.expr.accept(self) def visit_yield_from_expr(self, o: YieldFromExpr, /) -> None: o.expr.accept(self) def visit_yield_expr(self, o: YieldExpr, /) -> None: if o.expr: o.expr.accept(self) def visit_call_expr(self, o: CallExpr, /) -> None: o.callee.accept(self) for a in o.args: a.accept(self) if o.analyzed: o.analyzed.accept(self) def visit_op_expr(self, o: OpExpr, /) -> None: o.left.accept(self) o.right.accept(self) if o.analyzed is not None: o.analyzed.accept(self) def visit_comparison_expr(self, o: ComparisonExpr, /) -> None: for operand in o.operands: operand.accept(self) def visit_slice_expr(self, o: SliceExpr, /) -> None: if o.begin_index is not None: o.begin_index.accept(self) if o.end_index is not None: o.end_index.accept(self) if o.stride is not None: o.stride.accept(self) def visit_cast_expr(self, o: CastExpr, /) -> None: o.expr.accept(self) def visit_type_form_expr(self, o: TypeFormExpr, /) -> None: pass def visit_assert_type_expr(self, o: AssertTypeExpr, /) -> None: o.expr.accept(self) def visit_reveal_expr(self, o: RevealExpr, /) -> None: if o.kind == REVEAL_TYPE: assert o.expr is not None o.expr.accept(self) else: # RevealLocalsExpr doesn't have an inner expression pass def visit_assignment_expr(self, o: AssignmentExpr, /) -> None: o.target.accept(self) o.value.accept(self) def visit_unary_expr(self, o: UnaryExpr, /) -> None: o.expr.accept(self) def visit_list_expr(self, o: ListExpr, /) -> None: for item in o.items: item.accept(self) def visit_tuple_expr(self, o: TupleExpr, /) -> None: for item in o.items: item.accept(self) def visit_dict_expr(self, o: DictExpr, /) -> None: for k, v in o.items: if k is not None: k.accept(self) v.accept(self) def visit_set_expr(self, o: SetExpr, /) -> None: for item in o.items: item.accept(self) def visit_index_expr(self, o: IndexExpr, /) -> None: o.base.accept(self) o.index.accept(self) if o.analyzed: o.analyzed.accept(self) def visit_generator_expr(self, o: GeneratorExpr, /) -> None: for index, sequence, conditions in zip(o.indices, o.sequences, o.condlists): sequence.accept(self) index.accept(self) for cond in conditions: cond.accept(self) o.left_expr.accept(self) def visit_dictionary_comprehension(self, o: DictionaryComprehension, /) -> None: for index, sequence, conditions in zip(o.indices, o.sequences, o.condlists): sequence.accept(self) index.accept(self) for cond in conditions: cond.accept(self) o.key.accept(self) o.value.accept(self) def visit_list_comprehension(self, o: ListComprehension, /) -> None: o.generator.accept(self) def visit_set_comprehension(self, o: SetComprehension, /) -> None: o.generator.accept(self) def visit_conditional_expr(self, o: ConditionalExpr, /) -> None: o.cond.accept(self) o.if_expr.accept(self) o.else_expr.accept(self) def visit_type_application(self, o: TypeApplication, /) -> None: o.expr.accept(self) def visit_lambda_expr(self, o: LambdaExpr, /) -> None: self.visit_func(o) def visit_star_expr(self, o: StarExpr, /) -> None: o.expr.accept(self) def visit_await_expr(self, o: AwaitExpr, /) -> None: o.expr.accept(self) def visit_super_expr(self, o: SuperExpr, /) -> None: o.call.accept(self) def visit_as_pattern(self, o: AsPattern, /) -> None: if o.pattern is not None: o.pattern.accept(self) if o.name is not None: o.name.accept(self) def visit_or_pattern(self, o: OrPattern, /) -> None: for p in o.patterns: p.accept(self) def visit_value_pattern(self, o: ValuePattern, /) -> None: o.expr.accept(self) def visit_sequence_pattern(self, o: SequencePattern, /) -> None: for p in o.patterns: p.accept(self) def visit_starred_pattern(self, o: StarredPattern, /) -> None: if o.capture is not None: o.capture.accept(self) def visit_mapping_pattern(self, o: MappingPattern, /) -> None: for key in o.keys: key.accept(self) for value in o.values: value.accept(self) if o.rest is not None: o.rest.accept(self) def visit_class_pattern(self, o: ClassPattern, /) -> None: o.class_ref.accept(self) for p in o.positionals: p.accept(self) for v in o.keyword_values: v.accept(self) def visit_import(self, o: Import, /) -> None: for a in o.assignments: a.accept(self) def visit_import_from(self, o: ImportFrom, /) -> None: for a in o.assignments: a.accept(self) # leaf nodes def visit_name_expr(self, o: NameExpr, /) -> None: return None def visit_str_expr(self, o: StrExpr, /) -> None: return None def visit_int_expr(self, o: IntExpr, /) -> None: return None def visit_float_expr(self, o: FloatExpr, /) -> None: return None def visit_bytes_expr(self, o: BytesExpr, /) -> None: return None def visit_ellipsis(self, o: EllipsisExpr, /) -> None: return None def visit_var(self, o: Var, /) -> None: return None def visit_continue_stmt(self, o: ContinueStmt, /) -> None: return None def visit_pass_stmt(self, o: PassStmt, /) -> None: return None def visit_break_stmt(self, o: BreakStmt, /) -> None: return None def visit_temp_node(self, o: TempNode, /) -> None: return None def visit_nonlocal_decl(self, o: NonlocalDecl, /) -> None: return None def visit_global_decl(self, o: GlobalDecl, /) -> None: return None def visit_import_all(self, o: ImportAll, /) -> None: return None def visit_type_var_expr(self, o: TypeVarExpr, /) -> None: return None def visit_paramspec_expr(self, o: ParamSpecExpr, /) -> None: return None def visit_type_var_tuple_expr(self, o: TypeVarTupleExpr, /) -> None: return None def visit_type_alias_expr(self, o: TypeAliasExpr, /) -> None: return None def visit_type_alias(self, o: TypeAlias, /) -> None: return None def visit_namedtuple_expr(self, o: NamedTupleExpr, /) -> None: return None def visit_typeddict_expr(self, o: TypedDictExpr, /) -> None: return None def visit_newtype_expr(self, o: NewTypeExpr, /) -> None: return None def visit__promote_expr(self, o: PromoteExpr, /) -> None: return None def visit_complex_expr(self, o: ComplexExpr, /) -> None: return None def visit_enum_call_expr(self, o: EnumCallExpr, /) -> None: return None def visit_singleton_pattern(self, o: SingletonPattern, /) -> None: return None class ExtendedTraverserVisitor(TraverserVisitor): """This is a more flexible traverser. In addition to the base traverser it: * has visit_ methods for leaf nodes * has common method that is called for all nodes * allows skipping recursing into a node Note that this traverser still doesn't visit some internal mypy constructs like _promote expression and Var. """ def visit(self, o: Node) -> bool: # If returns True, will continue to nested nodes. return True def visit_mypy_file(self, o: MypyFile, /) -> None: if not self.visit(o): return super().visit_mypy_file(o) # Module structure def visit_import(self, o: Import, /) -> None: if not self.visit(o): return super().visit_import(o) def visit_import_from(self, o: ImportFrom, /) -> None: if not self.visit(o): return super().visit_import_from(o) def visit_import_all(self, o: ImportAll, /) -> None: if not self.visit(o): return super().visit_import_all(o) # Definitions def visit_func_def(self, o: FuncDef, /) -> None: if not self.visit(o): return super().visit_func_def(o) def visit_overloaded_func_def(self, o: OverloadedFuncDef, /) -> None: if not self.visit(o): return super().visit_overloaded_func_def(o) def visit_class_def(self, o: ClassDef, /) -> None: if not self.visit(o): return super().visit_class_def(o) def visit_global_decl(self, o: GlobalDecl, /) -> None: if not self.visit(o): return super().visit_global_decl(o) def visit_nonlocal_decl(self, o: NonlocalDecl, /) -> None: if not self.visit(o): return super().visit_nonlocal_decl(o) def visit_decorator(self, o: Decorator, /) -> None: if not self.visit(o): return super().visit_decorator(o) def visit_type_alias(self, o: TypeAlias, /) -> None: if not self.visit(o): return super().visit_type_alias(o) # Statements def visit_block(self, block: Block, /) -> None: if not self.visit(block): return super().visit_block(block) def visit_expression_stmt(self, o: ExpressionStmt, /) -> None: if not self.visit(o): return super().visit_expression_stmt(o) def visit_assignment_stmt(self, o: AssignmentStmt, /) -> None: if not self.visit(o): return super().visit_assignment_stmt(o) def visit_operator_assignment_stmt(self, o: OperatorAssignmentStmt, /) -> None: if not self.visit(o): return super().visit_operator_assignment_stmt(o) def visit_while_stmt(self, o: WhileStmt, /) -> None: if not self.visit(o): return super().visit_while_stmt(o) def visit_for_stmt(self, o: ForStmt, /) -> None: if not self.visit(o): return super().visit_for_stmt(o) def visit_return_stmt(self, o: ReturnStmt, /) -> None: if not self.visit(o): return super().visit_return_stmt(o) def visit_assert_stmt(self, o: AssertStmt, /) -> None: if not self.visit(o): return super().visit_assert_stmt(o) def visit_del_stmt(self, o: DelStmt, /) -> None: if not self.visit(o): return super().visit_del_stmt(o) def visit_if_stmt(self, o: IfStmt, /) -> None: if not self.visit(o): return super().visit_if_stmt(o) def visit_break_stmt(self, o: BreakStmt, /) -> None: if not self.visit(o): return super().visit_break_stmt(o) def visit_continue_stmt(self, o: ContinueStmt, /) -> None: if not self.visit(o): return super().visit_continue_stmt(o) def visit_pass_stmt(self, o: PassStmt, /) -> None: if not self.visit(o): return super().visit_pass_stmt(o) def visit_raise_stmt(self, o: RaiseStmt, /) -> None: if not self.visit(o): return super().visit_raise_stmt(o) def visit_try_stmt(self, o: TryStmt, /) -> None: if not self.visit(o): return super().visit_try_stmt(o) def visit_with_stmt(self, o: WithStmt, /) -> None: if not self.visit(o): return super().visit_with_stmt(o) def visit_match_stmt(self, o: MatchStmt, /) -> None: if not self.visit(o): return super().visit_match_stmt(o) # Expressions (default no-op implementation) def visit_int_expr(self, o: IntExpr, /) -> None: if not self.visit(o): return super().visit_int_expr(o) def visit_str_expr(self, o: StrExpr, /) -> None: if not self.visit(o): return super().visit_str_expr(o) def visit_bytes_expr(self, o: BytesExpr, /) -> None: if not self.visit(o): return super().visit_bytes_expr(o) def visit_float_expr(self, o: FloatExpr, /) -> None: if not self.visit(o): return super().visit_float_expr(o) def visit_complex_expr(self, o: ComplexExpr, /) -> None: if not self.visit(o): return super().visit_complex_expr(o) def visit_ellipsis(self, o: EllipsisExpr, /) -> None: if not self.visit(o): return super().visit_ellipsis(o) def visit_star_expr(self, o: StarExpr, /) -> None: if not self.visit(o): return super().visit_star_expr(o) def visit_name_expr(self, o: NameExpr, /) -> None: if not self.visit(o): return super().visit_name_expr(o) def visit_member_expr(self, o: MemberExpr, /) -> None: if not self.visit(o): return super().visit_member_expr(o) def visit_yield_from_expr(self, o: YieldFromExpr, /) -> None: if not self.visit(o): return super().visit_yield_from_expr(o) def visit_yield_expr(self, o: YieldExpr, /) -> None: if not self.visit(o): return super().visit_yield_expr(o) def visit_call_expr(self, o: CallExpr, /) -> None: if not self.visit(o): return super().visit_call_expr(o) def visit_op_expr(self, o: OpExpr, /) -> None: if not self.visit(o): return super().visit_op_expr(o) def visit_comparison_expr(self, o: ComparisonExpr, /) -> None: if not self.visit(o): return super().visit_comparison_expr(o) def visit_cast_expr(self, o: CastExpr, /) -> None: if not self.visit(o): return super().visit_cast_expr(o) def visit_type_form_expr(self, o: TypeFormExpr, /) -> None: if not self.visit(o): return super().visit_type_form_expr(o) def visit_assert_type_expr(self, o: AssertTypeExpr, /) -> None: if not self.visit(o): return super().visit_assert_type_expr(o) def visit_reveal_expr(self, o: RevealExpr, /) -> None: if not self.visit(o): return super().visit_reveal_expr(o) def visit_super_expr(self, o: SuperExpr, /) -> None: if not self.visit(o): return super().visit_super_expr(o) def visit_assignment_expr(self, o: AssignmentExpr, /) -> None: if not self.visit(o): return super().visit_assignment_expr(o) def visit_unary_expr(self, o: UnaryExpr, /) -> None: if not self.visit(o): return super().visit_unary_expr(o) def visit_list_expr(self, o: ListExpr, /) -> None: if not self.visit(o): return super().visit_list_expr(o) def visit_dict_expr(self, o: DictExpr, /) -> None: if not self.visit(o): return super().visit_dict_expr(o) def visit_tuple_expr(self, o: TupleExpr, /) -> None: if not self.visit(o): return super().visit_tuple_expr(o) def visit_set_expr(self, o: SetExpr, /) -> None: if not self.visit(o): return super().visit_set_expr(o) def visit_index_expr(self, o: IndexExpr, /) -> None: if not self.visit(o): return super().visit_index_expr(o) def visit_type_application(self, o: TypeApplication, /) -> None: if not self.visit(o): return super().visit_type_application(o) def visit_lambda_expr(self, o: LambdaExpr, /) -> None: if not self.visit(o): return super().visit_lambda_expr(o) def visit_list_comprehension(self, o: ListComprehension, /) -> None: if not self.visit(o): return super().visit_list_comprehension(o) def visit_set_comprehension(self, o: SetComprehension, /) -> None: if not self.visit(o): return super().visit_set_comprehension(o) def visit_dictionary_comprehension(self, o: DictionaryComprehension, /) -> None: if not self.visit(o): return super().visit_dictionary_comprehension(o) def visit_generator_expr(self, o: GeneratorExpr, /) -> None: if not self.visit(o): return super().visit_generator_expr(o) def visit_slice_expr(self, o: SliceExpr, /) -> None: if not self.visit(o): return super().visit_slice_expr(o) def visit_conditional_expr(self, o: ConditionalExpr, /) -> None: if not self.visit(o): return super().visit_conditional_expr(o) def visit_type_var_expr(self, o: TypeVarExpr, /) -> None: if not self.visit(o): return super().visit_type_var_expr(o) def visit_paramspec_expr(self, o: ParamSpecExpr, /) -> None: if not self.visit(o): return super().visit_paramspec_expr(o) def visit_type_var_tuple_expr(self, o: TypeVarTupleExpr, /) -> None: if not self.visit(o): return super().visit_type_var_tuple_expr(o) def visit_type_alias_expr(self, o: TypeAliasExpr, /) -> None: if not self.visit(o): return super().visit_type_alias_expr(o) def visit_namedtuple_expr(self, o: NamedTupleExpr, /) -> None: if not self.visit(o): return super().visit_namedtuple_expr(o) def visit_enum_call_expr(self, o: EnumCallExpr, /) -> None: if not self.visit(o): return super().visit_enum_call_expr(o) def visit_typeddict_expr(self, o: TypedDictExpr, /) -> None: if not self.visit(o): return super().visit_typeddict_expr(o) def visit_newtype_expr(self, o: NewTypeExpr, /) -> None: if not self.visit(o): return super().visit_newtype_expr(o) def visit_await_expr(self, o: AwaitExpr, /) -> None: if not self.visit(o): return super().visit_await_expr(o) # Patterns def visit_as_pattern(self, o: AsPattern, /) -> None: if not self.visit(o): return super().visit_as_pattern(o) def visit_or_pattern(self, o: OrPattern, /) -> None: if not self.visit(o): return super().visit_or_pattern(o) def visit_value_pattern(self, o: ValuePattern, /) -> None: if not self.visit(o): return super().visit_value_pattern(o) def visit_singleton_pattern(self, o: SingletonPattern, /) -> None: if not self.visit(o): return super().visit_singleton_pattern(o) def visit_sequence_pattern(self, o: SequencePattern, /) -> None: if not self.visit(o): return super().visit_sequence_pattern(o) def visit_starred_pattern(self, o: StarredPattern, /) -> None: if not self.visit(o): return super().visit_starred_pattern(o) def visit_mapping_pattern(self, o: MappingPattern, /) -> None: if not self.visit(o): return super().visit_mapping_pattern(o) def visit_class_pattern(self, o: ClassPattern, /) -> None: if not self.visit(o): return super().visit_class_pattern(o) class ReturnSeeker(TraverserVisitor): def __init__(self) -> None: self.found = False def visit_return_stmt(self, o: ReturnStmt) -> None: if o.expr is None or isinstance(o.expr, NameExpr) and o.expr.name == "None": return self.found = True def has_return_statement(fdef: FuncBase) -> bool: """Find if a function has a non-trivial return statement. Plain 'return' and 'return None' don't count. """ seeker = ReturnSeeker() fdef.accept(seeker) return seeker.found class NameAndMemberCollector(TraverserVisitor): def __init__(self) -> None: super().__init__() self.name_exprs: list[NameExpr] = [] self.member_exprs: list[MemberExpr] = [] def visit_name_expr(self, o: NameExpr, /) -> None: self.name_exprs.append(o) super().visit_name_expr(o) def visit_member_expr(self, o: MemberExpr, /) -> None: self.member_exprs.append(o) super().visit_member_expr(o) def all_name_and_member_expressions(node: Expression) -> tuple[list[NameExpr], list[MemberExpr]]: v = NameAndMemberCollector() node.accept(v) return (v.name_exprs, v.member_exprs) class StringSeeker(TraverserVisitor): def __init__(self) -> None: self.found = False def visit_str_expr(self, o: StrExpr, /) -> None: self.found = True def has_str_expression(node: Expression) -> bool: v = StringSeeker() node.accept(v) return v.found class FuncCollectorBase(TraverserVisitor): def __init__(self) -> None: self.inside_func = False def visit_func_def(self, defn: FuncDef) -> None: if not self.inside_func: self.inside_func = True super().visit_func_def(defn) self.inside_func = False class YieldSeeker(FuncCollectorBase): def __init__(self) -> None: super().__init__() self.found = False def visit_yield_expr(self, o: YieldExpr) -> None: self.found = True def has_yield_expression(fdef: FuncBase) -> bool: seeker = YieldSeeker() fdef.accept(seeker) return seeker.found class YieldFromSeeker(FuncCollectorBase): def __init__(self) -> None: super().__init__() self.found = False def visit_yield_from_expr(self, o: YieldFromExpr) -> None: self.found = True def has_yield_from_expression(fdef: FuncBase) -> bool: seeker = YieldFromSeeker() fdef.accept(seeker) return seeker.found class AwaitSeeker(TraverserVisitor): def __init__(self) -> None: super().__init__() self.found = False def visit_await_expr(self, o: AwaitExpr) -> None: self.found = True def has_await_expression(expr: Expression) -> bool: seeker = AwaitSeeker() expr.accept(seeker) return seeker.found class ReturnCollector(FuncCollectorBase): def __init__(self) -> None: super().__init__() self.return_statements: list[ReturnStmt] = [] def visit_return_stmt(self, stmt: ReturnStmt) -> None: self.return_statements.append(stmt) def all_return_statements(node: Node) -> list[ReturnStmt]: v = ReturnCollector() node.accept(v) return v.return_statements class YieldCollector(FuncCollectorBase): def __init__(self) -> None: super().__init__() self.in_assignment = False self.yield_expressions: list[tuple[YieldExpr, bool]] = [] def visit_assignment_stmt(self, stmt: AssignmentStmt) -> None: self.in_assignment = True super().visit_assignment_stmt(stmt) self.in_assignment = False def visit_yield_expr(self, expr: YieldExpr) -> None: self.yield_expressions.append((expr, self.in_assignment)) def all_yield_expressions(node: Node) -> list[tuple[YieldExpr, bool]]: v = YieldCollector() node.accept(v) return v.yield_expressions class YieldFromCollector(FuncCollectorBase): def __init__(self) -> None: super().__init__() self.in_assignment = False self.yield_from_expressions: list[tuple[YieldFromExpr, bool]] = [] def visit_assignment_stmt(self, stmt: AssignmentStmt) -> None: self.in_assignment = True super().visit_assignment_stmt(stmt) self.in_assignment = False def visit_yield_from_expr(self, expr: YieldFromExpr) -> None: self.yield_from_expressions.append((expr, self.in_assignment)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/treetransform.py0000644000175100017510000007003415112307767016526 0ustar00runnerrunner"""Base visitor that implements an identity AST transform. Subclass TransformVisitor to perform non-trivial transformations. """ from __future__ import annotations from collections.abc import Iterable from typing import Optional, cast from mypy.nodes import ( GDEF, REVEAL_TYPE, Argument, AssertStmt, AssertTypeExpr, AssignmentExpr, AssignmentStmt, AwaitExpr, Block, BreakStmt, BytesExpr, CallExpr, CastExpr, ClassDef, ComparisonExpr, ComplexExpr, ConditionalExpr, ContinueStmt, Decorator, DelStmt, DictExpr, DictionaryComprehension, EllipsisExpr, EnumCallExpr, Expression, ExpressionStmt, FloatExpr, ForStmt, FuncDef, FuncItem, GeneratorExpr, GlobalDecl, IfStmt, Import, ImportAll, ImportFrom, IndexExpr, IntExpr, LambdaExpr, ListComprehension, ListExpr, MatchStmt, MemberExpr, MypyFile, NamedTupleExpr, NameExpr, NewTypeExpr, Node, NonlocalDecl, OperatorAssignmentStmt, OpExpr, OverloadedFuncDef, OverloadPart, ParamSpecExpr, PassStmt, PromoteExpr, RaiseStmt, RefExpr, ReturnStmt, RevealExpr, SetComprehension, SetExpr, SliceExpr, StarExpr, Statement, StrExpr, SuperExpr, SymbolTable, TempNode, TryStmt, TupleExpr, TypeAliasExpr, TypeApplication, TypedDictExpr, TypeFormExpr, TypeVarExpr, TypeVarTupleExpr, UnaryExpr, Var, WhileStmt, WithStmt, YieldExpr, YieldFromExpr, ) from mypy.patterns import ( AsPattern, ClassPattern, MappingPattern, OrPattern, Pattern, SequencePattern, SingletonPattern, StarredPattern, ValuePattern, ) from mypy.traverser import TraverserVisitor from mypy.types import FunctionLike, ProperType, Type from mypy.util import replace_object_state from mypy.visitor import NodeVisitor class TransformVisitor(NodeVisitor[Node]): """Transform a semantically analyzed AST (or subtree) to an identical copy. Use the node() method to transform an AST node. Subclass to perform a non-identity transform. Notes: * This can only be used to transform functions or classes, not top-level statements, and/or modules as a whole. * Do not duplicate TypeInfo nodes. This would generally not be desirable. * Only update some name binding cross-references, but only those that refer to Var, Decorator or FuncDef nodes, not those targeting ClassDef or TypeInfo nodes. * Types are not transformed, but you can override type() to also perform type transformation. TODO nested classes and functions have not been tested well enough """ def __init__(self) -> None: # To simplify testing, set this flag to True if you want to transform # all statements in a file (this is prohibited in normal mode). self.test_only = False # There may be multiple references to a Var node. Keep track of # Var translations using a dictionary. self.var_map: dict[Var, Var] = {} # These are uninitialized placeholder nodes used temporarily for nested # functions while we are transforming a top-level function. This maps an # untransformed node to a placeholder (which will later become the # transformed node). self.func_placeholder_map: dict[FuncDef, FuncDef] = {} def visit_mypy_file(self, node: MypyFile) -> MypyFile: assert self.test_only, "This visitor should not be used for whole files." # NOTE: The 'names' and 'imports' instance variables will be empty! ignored_lines = {line: codes.copy() for line, codes in node.ignored_lines.items()} new = MypyFile(self.statements(node.defs), [], node.is_bom, ignored_lines=ignored_lines) new._fullname = node._fullname new.path = node.path new.names = SymbolTable() return new def visit_import(self, node: Import) -> Import: return Import(node.ids.copy()) def visit_import_from(self, node: ImportFrom) -> ImportFrom: return ImportFrom(node.id, node.relative, node.names.copy()) def visit_import_all(self, node: ImportAll) -> ImportAll: return ImportAll(node.id, node.relative) def copy_argument(self, argument: Argument) -> Argument: arg = Argument( self.visit_var(argument.variable), argument.type_annotation, argument.initializer, argument.kind, ) # Refresh lines of the inner things arg.set_line(argument) return arg def visit_func_def(self, node: FuncDef) -> FuncDef: # Note that a FuncDef must be transformed to a FuncDef. # These contortions are needed to handle the case of recursive # references inside the function being transformed. # Set up placeholder nodes for references within this function # to other functions defined inside it. # Don't create an entry for this function itself though, # since we want self-references to point to the original # function if this is the top-level node we are transforming. init = FuncMapInitializer(self) for stmt in node.body.body: stmt.accept(init) new = FuncDef( node.name, [self.copy_argument(arg) for arg in node.arguments], self.block(node.body), cast(Optional[FunctionLike], self.optional_type(node.type)), ) self.copy_function_attributes(new, node) new._fullname = node._fullname new.is_decorated = node.is_decorated new.is_conditional = node.is_conditional new.abstract_status = node.abstract_status new.is_static = node.is_static new.is_class = node.is_class new.is_property = node.is_property new.is_final = node.is_final new.original_def = node.original_def if node in self.func_placeholder_map: # There is a placeholder definition for this function. Replace # the attributes of the placeholder with those form the transformed # function. We know that the classes will be identical (otherwise # this wouldn't work). result = self.func_placeholder_map[node] replace_object_state(result, new) return result else: return new def visit_lambda_expr(self, node: LambdaExpr) -> LambdaExpr: new = LambdaExpr( [self.copy_argument(arg) for arg in node.arguments], self.block(node.body), cast(Optional[FunctionLike], self.optional_type(node.type)), ) self.copy_function_attributes(new, node) return new def copy_function_attributes(self, new: FuncItem, original: FuncItem) -> None: new.info = original.info new.min_args = original.min_args new.max_pos = original.max_pos new.is_overload = original.is_overload new.is_generator = original.is_generator new.is_coroutine = original.is_coroutine new.is_async_generator = original.is_async_generator new.is_awaitable_coroutine = original.is_awaitable_coroutine new.line = original.line def visit_overloaded_func_def(self, node: OverloadedFuncDef) -> OverloadedFuncDef: items = [cast(OverloadPart, item.accept(self)) for item in node.items] for newitem, olditem in zip(items, node.items): newitem.line = olditem.line new = OverloadedFuncDef(items) new._fullname = node._fullname new_type = self.optional_type(node.type) assert isinstance(new_type, ProperType) new.type = new_type new.info = node.info new.is_static = node.is_static new.is_class = node.is_class new.is_property = node.is_property new.is_final = node.is_final if node.impl: new.impl = cast(OverloadPart, node.impl.accept(self)) return new def visit_class_def(self, node: ClassDef) -> ClassDef: new = ClassDef( node.name, self.block(node.defs), node.type_vars, self.expressions(node.base_type_exprs), self.optional_expr(node.metaclass), ) new.fullname = node.fullname new.info = node.info new.decorators = [self.expr(decorator) for decorator in node.decorators] return new def visit_global_decl(self, node: GlobalDecl) -> GlobalDecl: return GlobalDecl(node.names.copy()) def visit_nonlocal_decl(self, node: NonlocalDecl) -> NonlocalDecl: return NonlocalDecl(node.names.copy()) def visit_block(self, node: Block) -> Block: return Block(self.statements(node.body), is_unreachable=node.is_unreachable) def visit_decorator(self, node: Decorator) -> Decorator: # Note that a Decorator must be transformed to a Decorator. func = self.visit_func_def(node.func) func.line = node.func.line new = Decorator(func, self.expressions(node.decorators), self.visit_var(node.var)) new.is_overload = node.is_overload return new def visit_var(self, node: Var) -> Var: # Note that a Var must be transformed to a Var. if node in self.var_map: return self.var_map[node] new = Var(node.name, self.optional_type(node.type)) new.line = node.line new._fullname = node._fullname new.info = node.info new.is_self = node.is_self new.is_ready = node.is_ready new.is_initialized_in_class = node.is_initialized_in_class new.is_staticmethod = node.is_staticmethod new.is_classmethod = node.is_classmethod new.is_property = node.is_property new.is_final = node.is_final new.final_value = node.final_value new.final_unset_in_class = node.final_unset_in_class new.final_set_in_init = node.final_set_in_init new.set_line(node) self.var_map[node] = new return new def visit_expression_stmt(self, node: ExpressionStmt) -> ExpressionStmt: return ExpressionStmt(self.expr(node.expr)) def visit_assignment_stmt(self, node: AssignmentStmt) -> AssignmentStmt: return self.duplicate_assignment(node) def duplicate_assignment(self, node: AssignmentStmt) -> AssignmentStmt: new = AssignmentStmt( self.expressions(node.lvalues), self.expr(node.rvalue), self.optional_type(node.unanalyzed_type), ) new.line = node.line new.is_final_def = node.is_final_def new.type = self.optional_type(node.type) return new def visit_operator_assignment_stmt( self, node: OperatorAssignmentStmt ) -> OperatorAssignmentStmt: return OperatorAssignmentStmt(node.op, self.expr(node.lvalue), self.expr(node.rvalue)) def visit_while_stmt(self, node: WhileStmt) -> WhileStmt: return WhileStmt( self.expr(node.expr), self.block(node.body), self.optional_block(node.else_body) ) def visit_for_stmt(self, node: ForStmt) -> ForStmt: new = ForStmt( self.expr(node.index), self.expr(node.expr), self.block(node.body), self.optional_block(node.else_body), self.optional_type(node.unanalyzed_index_type), ) new.is_async = node.is_async new.index_type = self.optional_type(node.index_type) return new def visit_return_stmt(self, node: ReturnStmt) -> ReturnStmt: return ReturnStmt(self.optional_expr(node.expr)) def visit_assert_stmt(self, node: AssertStmt) -> AssertStmt: return AssertStmt(self.expr(node.expr), self.optional_expr(node.msg)) def visit_del_stmt(self, node: DelStmt) -> DelStmt: return DelStmt(self.expr(node.expr)) def visit_if_stmt(self, node: IfStmt) -> IfStmt: return IfStmt( self.expressions(node.expr), self.blocks(node.body), self.optional_block(node.else_body), ) def visit_break_stmt(self, node: BreakStmt) -> BreakStmt: return BreakStmt() def visit_continue_stmt(self, node: ContinueStmt) -> ContinueStmt: return ContinueStmt() def visit_pass_stmt(self, node: PassStmt) -> PassStmt: return PassStmt() def visit_raise_stmt(self, node: RaiseStmt) -> RaiseStmt: return RaiseStmt(self.optional_expr(node.expr), self.optional_expr(node.from_expr)) def visit_try_stmt(self, node: TryStmt) -> TryStmt: new = TryStmt( self.block(node.body), self.optional_names(node.vars), self.optional_expressions(node.types), self.blocks(node.handlers), self.optional_block(node.else_body), self.optional_block(node.finally_body), ) new.is_star = node.is_star return new def visit_with_stmt(self, node: WithStmt) -> WithStmt: new = WithStmt( self.expressions(node.expr), self.optional_expressions(node.target), self.block(node.body), self.optional_type(node.unanalyzed_type), ) new.is_async = node.is_async new.analyzed_types = [self.type(typ) for typ in node.analyzed_types] return new def visit_as_pattern(self, p: AsPattern) -> AsPattern: return AsPattern( pattern=self.pattern(p.pattern) if p.pattern is not None else None, name=self.duplicate_name(p.name) if p.name is not None else None, ) def visit_or_pattern(self, p: OrPattern) -> OrPattern: return OrPattern([self.pattern(pat) for pat in p.patterns]) def visit_value_pattern(self, p: ValuePattern) -> ValuePattern: return ValuePattern(self.expr(p.expr)) def visit_singleton_pattern(self, p: SingletonPattern) -> SingletonPattern: return SingletonPattern(p.value) def visit_sequence_pattern(self, p: SequencePattern) -> SequencePattern: return SequencePattern([self.pattern(pat) for pat in p.patterns]) def visit_starred_pattern(self, p: StarredPattern) -> StarredPattern: return StarredPattern(self.duplicate_name(p.capture) if p.capture is not None else None) def visit_mapping_pattern(self, p: MappingPattern) -> MappingPattern: return MappingPattern( keys=[self.expr(expr) for expr in p.keys], values=[self.pattern(pat) for pat in p.values], rest=self.duplicate_name(p.rest) if p.rest is not None else None, ) def visit_class_pattern(self, p: ClassPattern) -> ClassPattern: class_ref = p.class_ref.accept(self) assert isinstance(class_ref, RefExpr) return ClassPattern( class_ref=class_ref, positionals=[self.pattern(pat) for pat in p.positionals], keyword_keys=list(p.keyword_keys), keyword_values=[self.pattern(pat) for pat in p.keyword_values], ) def visit_match_stmt(self, o: MatchStmt) -> MatchStmt: return MatchStmt( subject=self.expr(o.subject), patterns=[self.pattern(p) for p in o.patterns], guards=self.optional_expressions(o.guards), bodies=self.blocks(o.bodies), ) def visit_star_expr(self, node: StarExpr) -> StarExpr: return StarExpr(node.expr) def visit_int_expr(self, node: IntExpr) -> IntExpr: return IntExpr(node.value) def visit_str_expr(self, node: StrExpr) -> StrExpr: return StrExpr(node.value) def visit_bytes_expr(self, node: BytesExpr) -> BytesExpr: return BytesExpr(node.value) def visit_float_expr(self, node: FloatExpr) -> FloatExpr: return FloatExpr(node.value) def visit_complex_expr(self, node: ComplexExpr) -> ComplexExpr: return ComplexExpr(node.value) def visit_ellipsis(self, node: EllipsisExpr) -> EllipsisExpr: return EllipsisExpr() def visit_name_expr(self, node: NameExpr) -> NameExpr: return self.duplicate_name(node) def duplicate_name(self, node: NameExpr) -> NameExpr: # This method is used when the transform result must be a NameExpr. # visit_name_expr() is used when there is no such restriction. new = NameExpr(node.name) self.copy_ref(new, node) new.is_special_form = node.is_special_form return new def visit_member_expr(self, node: MemberExpr) -> MemberExpr: member = MemberExpr(self.expr(node.expr), node.name) if node.def_var: # This refers to an attribute and we don't transform attributes by default, # just normal variables. member.def_var = node.def_var self.copy_ref(member, node) return member def copy_ref(self, new: RefExpr, original: RefExpr) -> None: new.kind = original.kind new.fullname = original.fullname target = original.node if isinstance(target, Var): # Do not transform references to global variables. See # testGenericFunctionAliasExpand for an example where this is important. if original.kind != GDEF: target = self.visit_var(target) elif isinstance(target, Decorator): target = self.visit_var(target.var) elif isinstance(target, FuncDef): # Use a placeholder node for the function if it exists. target = self.func_placeholder_map.get(target, target) new.node = target new.is_new_def = original.is_new_def new.is_inferred_def = original.is_inferred_def def visit_yield_from_expr(self, node: YieldFromExpr) -> YieldFromExpr: return YieldFromExpr(self.expr(node.expr)) def visit_yield_expr(self, node: YieldExpr) -> YieldExpr: return YieldExpr(self.optional_expr(node.expr)) def visit_await_expr(self, node: AwaitExpr) -> AwaitExpr: return AwaitExpr(self.expr(node.expr)) def visit_call_expr(self, node: CallExpr) -> CallExpr: return CallExpr( self.expr(node.callee), self.expressions(node.args), node.arg_kinds.copy(), node.arg_names.copy(), self.optional_expr(node.analyzed), ) def visit_op_expr(self, node: OpExpr) -> OpExpr: new = OpExpr( node.op, self.expr(node.left), self.expr(node.right), cast(Optional[TypeAliasExpr], self.optional_expr(node.analyzed)), ) new.method_type = self.optional_type(node.method_type) return new def visit_comparison_expr(self, node: ComparisonExpr) -> ComparisonExpr: new = ComparisonExpr(node.operators, self.expressions(node.operands)) new.method_types = [self.optional_type(t) for t in node.method_types] return new def visit_cast_expr(self, node: CastExpr) -> CastExpr: return CastExpr(self.expr(node.expr), self.type(node.type)) def visit_type_form_expr(self, node: TypeFormExpr) -> TypeFormExpr: return TypeFormExpr(self.type(node.type)) def visit_assert_type_expr(self, node: AssertTypeExpr) -> AssertTypeExpr: return AssertTypeExpr(self.expr(node.expr), self.type(node.type)) def visit_reveal_expr(self, node: RevealExpr) -> RevealExpr: if node.kind == REVEAL_TYPE: assert node.expr is not None return RevealExpr(kind=REVEAL_TYPE, expr=self.expr(node.expr)) else: # Reveal locals expressions don't have any sub expressions return node def visit_super_expr(self, node: SuperExpr) -> SuperExpr: call = self.expr(node.call) assert isinstance(call, CallExpr) new = SuperExpr(node.name, call) new.info = node.info return new def visit_assignment_expr(self, node: AssignmentExpr) -> AssignmentExpr: return AssignmentExpr(self.duplicate_name(node.target), self.expr(node.value)) def visit_unary_expr(self, node: UnaryExpr) -> UnaryExpr: new = UnaryExpr(node.op, self.expr(node.expr)) new.method_type = self.optional_type(node.method_type) return new def visit_list_expr(self, node: ListExpr) -> ListExpr: return ListExpr(self.expressions(node.items)) def visit_dict_expr(self, node: DictExpr) -> DictExpr: return DictExpr( [(self.expr(key) if key else None, self.expr(value)) for key, value in node.items] ) def visit_tuple_expr(self, node: TupleExpr) -> TupleExpr: return TupleExpr(self.expressions(node.items)) def visit_set_expr(self, node: SetExpr) -> SetExpr: return SetExpr(self.expressions(node.items)) def visit_index_expr(self, node: IndexExpr) -> IndexExpr: new = IndexExpr(self.expr(node.base), self.expr(node.index)) if node.method_type: new.method_type = self.type(node.method_type) if node.analyzed: if isinstance(node.analyzed, TypeApplication): new.analyzed = self.visit_type_application(node.analyzed) else: new.analyzed = self.visit_type_alias_expr(node.analyzed) new.analyzed.set_line(node.analyzed) return new def visit_type_application(self, node: TypeApplication) -> TypeApplication: return TypeApplication(self.expr(node.expr), self.types(node.types)) def visit_list_comprehension(self, node: ListComprehension) -> ListComprehension: generator = self.duplicate_generator(node.generator) generator.set_line(node.generator) return ListComprehension(generator) def visit_set_comprehension(self, node: SetComprehension) -> SetComprehension: generator = self.duplicate_generator(node.generator) generator.set_line(node.generator) return SetComprehension(generator) def visit_dictionary_comprehension( self, node: DictionaryComprehension ) -> DictionaryComprehension: return DictionaryComprehension( self.expr(node.key), self.expr(node.value), [self.expr(index) for index in node.indices], [self.expr(s) for s in node.sequences], [[self.expr(cond) for cond in conditions] for conditions in node.condlists], node.is_async, ) def visit_generator_expr(self, node: GeneratorExpr) -> GeneratorExpr: return self.duplicate_generator(node) def duplicate_generator(self, node: GeneratorExpr) -> GeneratorExpr: return GeneratorExpr( self.expr(node.left_expr), [self.expr(index) for index in node.indices], [self.expr(s) for s in node.sequences], [[self.expr(cond) for cond in conditions] for conditions in node.condlists], node.is_async, ) def visit_slice_expr(self, node: SliceExpr) -> SliceExpr: return SliceExpr( self.optional_expr(node.begin_index), self.optional_expr(node.end_index), self.optional_expr(node.stride), ) def visit_conditional_expr(self, node: ConditionalExpr) -> ConditionalExpr: return ConditionalExpr( self.expr(node.cond), self.expr(node.if_expr), self.expr(node.else_expr) ) def visit_type_var_expr(self, node: TypeVarExpr) -> TypeVarExpr: return TypeVarExpr( node.name, node.fullname, self.types(node.values), self.type(node.upper_bound), self.type(node.default), variance=node.variance, ) def visit_paramspec_expr(self, node: ParamSpecExpr) -> ParamSpecExpr: return ParamSpecExpr( node.name, node.fullname, self.type(node.upper_bound), self.type(node.default), variance=node.variance, ) def visit_type_var_tuple_expr(self, node: TypeVarTupleExpr) -> TypeVarTupleExpr: return TypeVarTupleExpr( node.name, node.fullname, self.type(node.upper_bound), node.tuple_fallback, self.type(node.default), variance=node.variance, ) def visit_type_alias_expr(self, node: TypeAliasExpr) -> TypeAliasExpr: return TypeAliasExpr(node.node) def visit_newtype_expr(self, node: NewTypeExpr) -> NewTypeExpr: res = NewTypeExpr(node.name, node.old_type, line=node.line, column=node.column) res.info = node.info return res def visit_namedtuple_expr(self, node: NamedTupleExpr) -> NamedTupleExpr: return NamedTupleExpr(node.info) def visit_enum_call_expr(self, node: EnumCallExpr) -> EnumCallExpr: return EnumCallExpr(node.info, node.items, node.values) def visit_typeddict_expr(self, node: TypedDictExpr) -> Node: return TypedDictExpr(node.info) def visit__promote_expr(self, node: PromoteExpr) -> PromoteExpr: return PromoteExpr(node.type) def visit_temp_node(self, node: TempNode) -> TempNode: return TempNode(self.type(node.type)) def node(self, node: Node) -> Node: new = node.accept(self) new.set_line(node) return new def mypyfile(self, node: MypyFile) -> MypyFile: new = node.accept(self) assert isinstance(new, MypyFile) new.set_line(node) return new def expr(self, expr: Expression) -> Expression: new = expr.accept(self) assert isinstance(new, Expression) new.set_line(expr) return new def stmt(self, stmt: Statement) -> Statement: new = stmt.accept(self) assert isinstance(new, Statement) new.set_line(stmt) return new def pattern(self, pattern: Pattern) -> Pattern: new = pattern.accept(self) assert isinstance(new, Pattern) new.set_line(pattern) return new # Helpers # # All the node helpers also propagate line numbers. def optional_expr(self, expr: Expression | None) -> Expression | None: if expr: return self.expr(expr) else: return None def block(self, block: Block) -> Block: new = self.visit_block(block) new.line = block.line return new def optional_block(self, block: Block | None) -> Block | None: if block: return self.block(block) else: return None def statements(self, statements: list[Statement]) -> list[Statement]: return [self.stmt(stmt) for stmt in statements] def expressions(self, expressions: list[Expression]) -> list[Expression]: return [self.expr(expr) for expr in expressions] def optional_expressions( self, expressions: Iterable[Expression | None] ) -> list[Expression | None]: return [self.optional_expr(expr) for expr in expressions] def blocks(self, blocks: list[Block]) -> list[Block]: return [self.block(block) for block in blocks] def names(self, names: list[NameExpr]) -> list[NameExpr]: return [self.duplicate_name(name) for name in names] def optional_names(self, names: Iterable[NameExpr | None]) -> list[NameExpr | None]: result: list[NameExpr | None] = [] for name in names: if name: result.append(self.duplicate_name(name)) else: result.append(None) return result def type(self, type: Type) -> Type: # Override this method to transform types. return type def optional_type(self, type: Type | None) -> Type | None: if type: return self.type(type) else: return None def types(self, types: list[Type]) -> list[Type]: return [self.type(type) for type in types] class FuncMapInitializer(TraverserVisitor): """This traverser creates mappings from nested FuncDefs to placeholder FuncDefs. The placeholders will later be replaced with transformed nodes. """ def __init__(self, transformer: TransformVisitor) -> None: self.transformer = transformer def visit_func_def(self, node: FuncDef) -> None: if node not in self.transformer.func_placeholder_map: # Haven't seen this FuncDef before, so create a placeholder node. self.transformer.func_placeholder_map[node] = FuncDef( node.name, node.arguments, node.body, None ) super().visit_func_def(node) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/tvar_scope.py0000644000175100017510000001340715112307767016001 0ustar00runnerrunnerfrom __future__ import annotations from mypy.nodes import ( ParamSpecExpr, SymbolTableNode, TypeVarExpr, TypeVarLikeExpr, TypeVarTupleExpr, ) from mypy.types import ( ParamSpecFlavor, ParamSpecType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, ) from mypy.typetraverser import TypeTraverserVisitor class TypeVarLikeNamespaceSetter(TypeTraverserVisitor): """Set namespace for all TypeVarLikeTypes types.""" def __init__(self, namespace: str) -> None: self.namespace = namespace def visit_type_var(self, t: TypeVarType) -> None: t.id.namespace = self.namespace super().visit_type_var(t) def visit_param_spec(self, t: ParamSpecType) -> None: t.id.namespace = self.namespace return super().visit_param_spec(t) def visit_type_var_tuple(self, t: TypeVarTupleType) -> None: t.id.namespace = self.namespace super().visit_type_var_tuple(t) class TypeVarLikeScope: """Scope that holds bindings for type variables and parameter specifications. Node fullname -> TypeVarLikeType. """ def __init__( self, parent: TypeVarLikeScope | None = None, is_class_scope: bool = False, prohibited: TypeVarLikeScope | None = None, namespace: str = "", ) -> None: """Initializer for TypeVarLikeScope Parameters: parent: the outer scope for this scope is_class_scope: True if this represents a generic class prohibited: Type variables that aren't strictly in scope exactly, but can't be bound because they're part of an outer class's scope. """ self.scope: dict[str, TypeVarLikeType] = {} self.parent = parent self.func_id = 0 self.class_id = 0 self.is_class_scope = is_class_scope self.prohibited = prohibited self.namespace = namespace if parent is not None: self.func_id = parent.func_id self.class_id = parent.class_id def get_function_scope(self) -> TypeVarLikeScope | None: """Get the nearest parent that's a function scope, not a class scope""" it: TypeVarLikeScope | None = self while it is not None and it.is_class_scope: it = it.parent return it def allow_binding(self, fullname: str) -> bool: if fullname in self.scope: return False elif self.parent and not self.parent.allow_binding(fullname): return False elif self.prohibited and not self.prohibited.allow_binding(fullname): return False return True def method_frame(self, namespace: str) -> TypeVarLikeScope: """A new scope frame for binding a method""" return TypeVarLikeScope(self, False, None, namespace=namespace) def class_frame(self, namespace: str) -> TypeVarLikeScope: """A new scope frame for binding a class. Prohibits *this* class's tvars""" return TypeVarLikeScope(self.get_function_scope(), True, self, namespace=namespace) def new_unique_func_id(self) -> TypeVarId: """Used by plugin-like code that needs to make synthetic generic functions.""" self.func_id -= 1 return TypeVarId(self.func_id) def bind_new(self, name: str, tvar_expr: TypeVarLikeExpr) -> TypeVarLikeType: if self.is_class_scope: self.class_id += 1 i = self.class_id else: self.func_id -= 1 i = self.func_id namespace = self.namespace tvar_expr.default.accept(TypeVarLikeNamespaceSetter(namespace)) if isinstance(tvar_expr, TypeVarExpr): tvar_def: TypeVarLikeType = TypeVarType( name=name, fullname=tvar_expr.fullname, id=TypeVarId(i, namespace=namespace), values=tvar_expr.values, upper_bound=tvar_expr.upper_bound, default=tvar_expr.default, variance=tvar_expr.variance, line=tvar_expr.line, column=tvar_expr.column, ) elif isinstance(tvar_expr, ParamSpecExpr): tvar_def = ParamSpecType( name=name, fullname=tvar_expr.fullname, id=TypeVarId(i, namespace=namespace), flavor=ParamSpecFlavor.BARE, upper_bound=tvar_expr.upper_bound, default=tvar_expr.default, line=tvar_expr.line, column=tvar_expr.column, ) elif isinstance(tvar_expr, TypeVarTupleExpr): tvar_def = TypeVarTupleType( name=name, fullname=tvar_expr.fullname, id=TypeVarId(i, namespace=namespace), upper_bound=tvar_expr.upper_bound, tuple_fallback=tvar_expr.tuple_fallback, default=tvar_expr.default, line=tvar_expr.line, column=tvar_expr.column, ) else: assert False self.scope[tvar_expr.fullname] = tvar_def return tvar_def def bind_existing(self, tvar_def: TypeVarLikeType) -> None: self.scope[tvar_def.fullname] = tvar_def def get_binding(self, item: str | SymbolTableNode) -> TypeVarLikeType | None: fullname = item.fullname if isinstance(item, SymbolTableNode) else item assert fullname if fullname in self.scope: return self.scope[fullname] elif self.parent is not None: return self.parent.get_binding(fullname) else: return None def __str__(self) -> str: me = ", ".join(f"{k}: {v.name}`{v.id}" for k, v in self.scope.items()) if self.parent is None: return me return f"{self.parent} <- {me}" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/type_visitor.py0000644000175100017510000004700715112307767016377 0ustar00runnerrunner"""Type visitor classes. This module defines the type visitors that are intended to be subclassed by other code. They have been separated out into their own module to ease converting mypy to run under mypyc, since currently mypyc-extension classes can extend interpreted classes but not the other way around. Separating them out, then, allows us to compile types before we can compile everything that uses a TypeVisitor. The visitors are all re-exported from mypy.types and that is how other modules refer to them. """ from __future__ import annotations from abc import abstractmethod from collections.abc import Iterable, Sequence from typing import Any, Final, Generic, TypeVar, cast from mypy_extensions import mypyc_attr, trait from mypy.types import ( AnyType, CallableArgument, CallableType, DeletedType, EllipsisType, ErasedType, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, PlaceholderType, RawExpressionType, TupleType, Type, TypeAliasType, TypedDictType, TypeList, TypeType, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, get_proper_type, ) T = TypeVar("T", covariant=True) @trait @mypyc_attr(allow_interpreted_subclasses=True) class TypeVisitor(Generic[T]): """Visitor class for types (Type subclasses). The parameter T is the return type of the visit methods. """ @abstractmethod def visit_unbound_type(self, t: UnboundType, /) -> T: pass @abstractmethod def visit_any(self, t: AnyType, /) -> T: pass @abstractmethod def visit_none_type(self, t: NoneType, /) -> T: pass @abstractmethod def visit_uninhabited_type(self, t: UninhabitedType, /) -> T: pass @abstractmethod def visit_erased_type(self, t: ErasedType, /) -> T: pass @abstractmethod def visit_deleted_type(self, t: DeletedType, /) -> T: pass @abstractmethod def visit_type_var(self, t: TypeVarType, /) -> T: pass @abstractmethod def visit_param_spec(self, t: ParamSpecType, /) -> T: pass @abstractmethod def visit_parameters(self, t: Parameters, /) -> T: pass @abstractmethod def visit_type_var_tuple(self, t: TypeVarTupleType, /) -> T: pass @abstractmethod def visit_instance(self, t: Instance, /) -> T: pass @abstractmethod def visit_callable_type(self, t: CallableType, /) -> T: pass @abstractmethod def visit_overloaded(self, t: Overloaded, /) -> T: pass @abstractmethod def visit_tuple_type(self, t: TupleType, /) -> T: pass @abstractmethod def visit_typeddict_type(self, t: TypedDictType, /) -> T: pass @abstractmethod def visit_literal_type(self, t: LiteralType, /) -> T: pass @abstractmethod def visit_union_type(self, t: UnionType, /) -> T: pass @abstractmethod def visit_partial_type(self, t: PartialType, /) -> T: pass @abstractmethod def visit_type_type(self, t: TypeType, /) -> T: pass @abstractmethod def visit_type_alias_type(self, t: TypeAliasType, /) -> T: pass @abstractmethod def visit_unpack_type(self, t: UnpackType, /) -> T: pass @trait @mypyc_attr(allow_interpreted_subclasses=True) class SyntheticTypeVisitor(TypeVisitor[T]): """A TypeVisitor that also knows how to visit synthetic AST constructs. Not just real types. """ @abstractmethod def visit_type_list(self, t: TypeList, /) -> T: pass @abstractmethod def visit_callable_argument(self, t: CallableArgument, /) -> T: pass @abstractmethod def visit_ellipsis_type(self, t: EllipsisType, /) -> T: pass @abstractmethod def visit_raw_expression_type(self, t: RawExpressionType, /) -> T: pass @abstractmethod def visit_placeholder_type(self, t: PlaceholderType, /) -> T: pass @mypyc_attr(allow_interpreted_subclasses=True) class TypeTranslator(TypeVisitor[Type]): """Identity type transformation. Subclass this and override some methods to implement a non-trivial transformation. We cache the results of certain translations to avoid massively expanding the sizes of types. """ def __init__(self, cache: dict[Type, Type] | None = None) -> None: # For deduplication of results self.cache = cache def get_cached(self, t: Type) -> Type | None: if self.cache is None: return None return self.cache.get(t) def set_cached(self, orig: Type, new: Type) -> None: if self.cache is None: # Minor optimization: construct lazily self.cache = {} self.cache[orig] = new def visit_unbound_type(self, t: UnboundType, /) -> Type: return t def visit_any(self, t: AnyType, /) -> Type: return t def visit_none_type(self, t: NoneType, /) -> Type: return t def visit_uninhabited_type(self, t: UninhabitedType, /) -> Type: return t def visit_erased_type(self, t: ErasedType, /) -> Type: return t def visit_deleted_type(self, t: DeletedType, /) -> Type: return t def visit_instance(self, t: Instance, /) -> Type: last_known_value: LiteralType | None = None if t.last_known_value is not None: raw_last_known_value = t.last_known_value.accept(self) assert isinstance(raw_last_known_value, LiteralType) # type: ignore[misc] last_known_value = raw_last_known_value return Instance( typ=t.type, args=self.translate_type_tuple(t.args), line=t.line, column=t.column, last_known_value=last_known_value, extra_attrs=t.extra_attrs, ) def visit_type_var(self, t: TypeVarType, /) -> Type: return t def visit_param_spec(self, t: ParamSpecType, /) -> Type: return t def visit_parameters(self, t: Parameters, /) -> Type: return t.copy_modified(arg_types=self.translate_type_list(t.arg_types)) def visit_type_var_tuple(self, t: TypeVarTupleType, /) -> Type: return t def visit_partial_type(self, t: PartialType, /) -> Type: return t def visit_unpack_type(self, t: UnpackType, /) -> Type: return UnpackType(t.type.accept(self)) def visit_callable_type(self, t: CallableType, /) -> Type: return t.copy_modified( arg_types=self.translate_type_list(t.arg_types), ret_type=t.ret_type.accept(self), variables=self.translate_variables(t.variables), ) def visit_tuple_type(self, t: TupleType, /) -> Type: return TupleType( self.translate_type_list(t.items), # TODO: This appears to be unsafe. cast(Any, t.partial_fallback.accept(self)), t.line, t.column, ) def visit_typeddict_type(self, t: TypedDictType, /) -> Type: # Use cache to avoid O(n**2) or worse expansion of types during translation if cached := self.get_cached(t): return cached items = {item_name: item_type.accept(self) for (item_name, item_type) in t.items.items()} result = TypedDictType( items, t.required_keys, t.readonly_keys, # TODO: This appears to be unsafe. cast(Any, t.fallback.accept(self)), t.line, t.column, ) self.set_cached(t, result) return result def visit_literal_type(self, t: LiteralType, /) -> Type: fallback = t.fallback.accept(self) assert isinstance(fallback, Instance) # type: ignore[misc] return LiteralType(value=t.value, fallback=fallback, line=t.line, column=t.column) def visit_union_type(self, t: UnionType, /) -> Type: # Use cache to avoid O(n**2) or worse expansion of types during translation # (only for large unions, since caching adds overhead) use_cache = len(t.items) > 3 if use_cache and (cached := self.get_cached(t)): return cached result = UnionType( self.translate_type_list(t.items), t.line, t.column, uses_pep604_syntax=t.uses_pep604_syntax, ) if use_cache: self.set_cached(t, result) return result def translate_type_list(self, types: list[Type]) -> list[Type]: return [t.accept(self) for t in types] def translate_type_tuple(self, types: tuple[Type, ...]) -> tuple[Type, ...]: return tuple(t.accept(self) for t in types) def translate_variables( self, variables: Sequence[TypeVarLikeType] ) -> Sequence[TypeVarLikeType]: return variables def visit_overloaded(self, t: Overloaded, /) -> Type: items: list[CallableType] = [] for item in t.items: new = item.accept(self) assert isinstance(new, CallableType) # type: ignore[misc] items.append(new) return Overloaded(items=items) def visit_type_type(self, t: TypeType, /) -> Type: return TypeType.make_normalized( t.item.accept(self), line=t.line, column=t.column, is_type_form=t.is_type_form ) @abstractmethod def visit_type_alias_type(self, t: TypeAliasType, /) -> Type: # This method doesn't have a default implementation for type translators, # because type aliases are special: some information is contained in the # TypeAlias node, and we normally don't generate new nodes. Every subclass # must implement this depending on its semantics. pass @mypyc_attr(allow_interpreted_subclasses=True) class TypeQuery(SyntheticTypeVisitor[T]): """Visitor for performing queries of types. strategy is used to combine results for a series of types, common use cases involve a boolean query using `any` or `all`. Note: this visitor keeps an internal state (tracks type aliases to avoid recursion), so it should *never* be reused for querying different types, create a new visitor instance instead. # TODO: check that we don't have existing violations of this rule. """ def __init__(self) -> None: # Keep track of the type aliases already visited. This is needed to avoid # infinite recursion on types like A = Union[int, List[A]]. self.seen_aliases: set[TypeAliasType] | None = None # By default, we eagerly expand type aliases, and query also types in the # alias target. In most cases this is a desired behavior, but we may want # to skip targets in some cases (e.g. when collecting type variables). self.skip_alias_target = False @abstractmethod def strategy(self, items: list[T]) -> T: raise NotImplementedError def visit_unbound_type(self, t: UnboundType, /) -> T: return self.query_types(t.args) def visit_type_list(self, t: TypeList, /) -> T: return self.query_types(t.items) def visit_callable_argument(self, t: CallableArgument, /) -> T: return t.typ.accept(self) def visit_any(self, t: AnyType, /) -> T: return self.strategy([]) def visit_uninhabited_type(self, t: UninhabitedType, /) -> T: return self.strategy([]) def visit_none_type(self, t: NoneType, /) -> T: return self.strategy([]) def visit_erased_type(self, t: ErasedType, /) -> T: return self.strategy([]) def visit_deleted_type(self, t: DeletedType, /) -> T: return self.strategy([]) def visit_type_var(self, t: TypeVarType, /) -> T: return self.query_types([t.upper_bound, t.default] + t.values) def visit_param_spec(self, t: ParamSpecType, /) -> T: return self.query_types([t.upper_bound, t.default, t.prefix]) def visit_type_var_tuple(self, t: TypeVarTupleType, /) -> T: return self.query_types([t.upper_bound, t.default]) def visit_unpack_type(self, t: UnpackType, /) -> T: return self.query_types([t.type]) def visit_parameters(self, t: Parameters, /) -> T: return self.query_types(t.arg_types) def visit_partial_type(self, t: PartialType, /) -> T: return self.strategy([]) def visit_instance(self, t: Instance, /) -> T: return self.query_types(t.args) def visit_callable_type(self, t: CallableType, /) -> T: # FIX generics return self.query_types(t.arg_types + [t.ret_type]) def visit_tuple_type(self, t: TupleType, /) -> T: return self.query_types([t.partial_fallback] + t.items) def visit_typeddict_type(self, t: TypedDictType, /) -> T: return self.query_types(t.items.values()) def visit_raw_expression_type(self, t: RawExpressionType, /) -> T: return self.strategy([]) def visit_literal_type(self, t: LiteralType, /) -> T: return self.strategy([]) def visit_union_type(self, t: UnionType, /) -> T: return self.query_types(t.items) def visit_overloaded(self, t: Overloaded, /) -> T: return self.query_types(t.items) def visit_type_type(self, t: TypeType, /) -> T: return t.item.accept(self) def visit_ellipsis_type(self, t: EllipsisType, /) -> T: return self.strategy([]) def visit_placeholder_type(self, t: PlaceholderType, /) -> T: return self.query_types(t.args) def visit_type_alias_type(self, t: TypeAliasType, /) -> T: if self.skip_alias_target: return self.query_types(t.args) # Skip type aliases already visited types to avoid infinite recursion # (also use this as a simple-minded cache). if self.seen_aliases is None: self.seen_aliases = set() elif t in self.seen_aliases: return self.strategy([]) self.seen_aliases.add(t) return get_proper_type(t).accept(self) def query_types(self, types: Iterable[Type]) -> T: """Perform a query for a list of types using the strategy to combine the results.""" return self.strategy([t.accept(self) for t in types]) # Return True if at least one type component returns True ANY_STRATEGY: Final = 0 # Return True if no type component returns False ALL_STRATEGY: Final = 1 class BoolTypeQuery(SyntheticTypeVisitor[bool]): """Visitor for performing recursive queries of types with a bool result. Use TypeQuery if you need non-bool results. 'strategy' is used to combine results for a series of types. It must be ANY_STRATEGY or ALL_STRATEGY. Note: This visitor keeps an internal state (tracks type aliases to avoid recursion), so it should *never* be reused for querying different types unless you call reset() first. """ def __init__(self, strategy: int) -> None: self.strategy = strategy if strategy == ANY_STRATEGY: self.default = False else: assert strategy == ALL_STRATEGY self.default = True # Keep track of the type aliases already visited. This is needed to avoid # infinite recursion on types like A = Union[int, List[A]]. An empty set is # represented as None as a micro-optimization. self.seen_aliases: set[TypeAliasType] | None = None # By default, we eagerly expand type aliases, and query also types in the # alias target. In most cases this is a desired behavior, but we may want # to skip targets in some cases (e.g. when collecting type variables). self.skip_alias_target = False def reset(self) -> None: """Clear mutable state (but preserve strategy). This *must* be called if you want to reuse the visitor. """ self.seen_aliases = None def visit_unbound_type(self, t: UnboundType, /) -> bool: return self.query_types(t.args) def visit_type_list(self, t: TypeList, /) -> bool: return self.query_types(t.items) def visit_callable_argument(self, t: CallableArgument, /) -> bool: return t.typ.accept(self) def visit_any(self, t: AnyType, /) -> bool: return self.default def visit_uninhabited_type(self, t: UninhabitedType, /) -> bool: return self.default def visit_none_type(self, t: NoneType, /) -> bool: return self.default def visit_erased_type(self, t: ErasedType, /) -> bool: return self.default def visit_deleted_type(self, t: DeletedType, /) -> bool: return self.default def visit_type_var(self, t: TypeVarType, /) -> bool: return self.query_types([t.upper_bound, t.default] + t.values) def visit_param_spec(self, t: ParamSpecType, /) -> bool: return self.query_types([t.upper_bound, t.default, t.prefix]) def visit_type_var_tuple(self, t: TypeVarTupleType, /) -> bool: return self.query_types([t.upper_bound, t.default]) def visit_unpack_type(self, t: UnpackType, /) -> bool: return self.query_types([t.type]) def visit_parameters(self, t: Parameters, /) -> bool: return self.query_types(t.arg_types) def visit_partial_type(self, t: PartialType, /) -> bool: return self.default def visit_instance(self, t: Instance, /) -> bool: return self.query_types(t.args) def visit_callable_type(self, t: CallableType, /) -> bool: # FIX generics # Avoid allocating any objects here as an optimization. args = self.query_types(t.arg_types) ret = t.ret_type.accept(self) if self.strategy == ANY_STRATEGY: return args or ret else: return args and ret def visit_tuple_type(self, t: TupleType, /) -> bool: return self.query_types([t.partial_fallback] + t.items) def visit_typeddict_type(self, t: TypedDictType, /) -> bool: return self.query_types(list(t.items.values())) def visit_raw_expression_type(self, t: RawExpressionType, /) -> bool: return self.default def visit_literal_type(self, t: LiteralType, /) -> bool: return self.default def visit_union_type(self, t: UnionType, /) -> bool: return self.query_types(t.items) def visit_overloaded(self, t: Overloaded, /) -> bool: return self.query_types(t.items) # type: ignore[arg-type] def visit_type_type(self, t: TypeType, /) -> bool: return t.item.accept(self) def visit_ellipsis_type(self, t: EllipsisType, /) -> bool: return self.default def visit_placeholder_type(self, t: PlaceholderType, /) -> bool: return self.query_types(t.args) def visit_type_alias_type(self, t: TypeAliasType, /) -> bool: if self.skip_alias_target: return self.query_types(t.args) # Skip type aliases already visited types to avoid infinite recursion # (also use this as a simple-minded cache). if self.seen_aliases is None: self.seen_aliases = set() elif t in self.seen_aliases: return self.default self.seen_aliases.add(t) return get_proper_type(t).accept(self) def query_types(self, types: list[Type] | tuple[Type, ...]) -> bool: """Perform a query for a sequence of types using the strategy to combine the results.""" # Special-case for lists and tuples to allow mypyc to produce better code. if isinstance(types, list): if self.strategy == ANY_STRATEGY: return any(t.accept(self) for t in types) else: return all(t.accept(self) for t in types) else: if self.strategy == ANY_STRATEGY: return any(t.accept(self) for t in types) else: return all(t.accept(self) for t in types) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeanal.py0000644000175100017510000034275215112307767015461 0ustar00runnerrunner"""Semantic analysis of types""" from __future__ import annotations import itertools from collections.abc import Iterable, Iterator, Sequence from contextlib import contextmanager from typing import Callable, Final, Protocol, TypeVar from mypy import errorcodes as codes, message_registry, nodes from mypy.errorcodes import ErrorCode from mypy.errors import ErrorInfo from mypy.expandtype import expand_type from mypy.message_registry import ( INVALID_PARAM_SPEC_LOCATION, INVALID_PARAM_SPEC_LOCATION_NOTE, TYPEDDICT_OVERRIDE_MERGE, ) from mypy.messages import ( MessageBuilder, format_type, format_type_bare, quote_type_string, wrong_type_arg_count, ) from mypy.nodes import ( ARG_NAMED, ARG_NAMED_OPT, ARG_OPT, ARG_POS, ARG_STAR, ARG_STAR2, MISSING_FALLBACK, SYMBOL_FUNCBASE_TYPES, ArgKind, Context, Decorator, ImportFrom, MypyFile, ParamSpecExpr, PlaceholderNode, SymbolTableNode, TypeAlias, TypeInfo, TypeVarExpr, TypeVarLikeExpr, TypeVarTupleExpr, Var, check_arg_kinds, check_arg_names, ) from mypy.options import INLINE_TYPEDDICT, TYPE_FORM, Options from mypy.plugin import AnalyzeTypeContext, Plugin, TypeAnalyzerPluginInterface from mypy.semanal_shared import ( SemanticAnalyzerCoreInterface, SemanticAnalyzerInterface, paramspec_args, paramspec_kwargs, ) from mypy.state import state from mypy.tvar_scope import TypeVarLikeScope from mypy.types import ( ANNOTATED_TYPE_NAMES, ANY_STRATEGY, CONCATENATE_TYPE_NAMES, FINAL_TYPE_NAMES, LITERAL_TYPE_NAMES, NEVER_NAMES, TUPLE_NAMES, TYPE_ALIAS_NAMES, TYPE_NAMES, UNPACK_TYPE_NAMES, AnyType, BoolTypeQuery, CallableArgument, CallableType, DeletedType, EllipsisType, ErasedType, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecFlavor, ParamSpecType, PartialType, PlaceholderType, ProperType, RawExpressionType, ReadOnlyType, RequiredType, SyntheticTypeVisitor, TrivialSyntheticTypeTranslator, TupleType, Type, TypeAliasType, TypedDictType, TypeList, TypeOfAny, TypeQuery, TypeType, TypeVarId, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, callable_with_ellipsis, find_unpack_in_list, flatten_nested_tuples, get_proper_type, has_type_vars, ) from mypy.types_utils import get_bad_type_type_item from mypy.typevars import fill_typevars T = TypeVar("T") type_constructors: Final = { "typing.Callable", "typing.Optional", "typing.Tuple", "typing.Type", "typing.Union", *LITERAL_TYPE_NAMES, *ANNOTATED_TYPE_NAMES, } ARG_KINDS_BY_CONSTRUCTOR: Final = { "mypy_extensions.Arg": ARG_POS, "mypy_extensions.DefaultArg": ARG_OPT, "mypy_extensions.NamedArg": ARG_NAMED, "mypy_extensions.DefaultNamedArg": ARG_NAMED_OPT, "mypy_extensions.VarArg": ARG_STAR, "mypy_extensions.KwArg": ARG_STAR2, } SELF_TYPE_NAMES: Final = {"typing.Self", "typing_extensions.Self"} def analyze_type_alias( type: Type, api: SemanticAnalyzerCoreInterface, tvar_scope: TypeVarLikeScope, plugin: Plugin, options: Options, cur_mod_node: MypyFile, is_typeshed_stub: bool, allow_placeholder: bool = False, in_dynamic_func: bool = False, global_scope: bool = True, allowed_alias_tvars: list[TypeVarLikeType] | None = None, alias_type_params_names: list[str] | None = None, python_3_12_type_alias: bool = False, ) -> tuple[Type, set[str]]: """Analyze r.h.s. of a (potential) type alias definition. If `node` is valid as a type alias rvalue, return the resulting type and a set of full names of type aliases it depends on (directly or indirectly). 'node' must have been semantically analyzed. """ analyzer = TypeAnalyser( api, tvar_scope, plugin, options, cur_mod_node, is_typeshed_stub, defining_alias=True, allow_placeholder=allow_placeholder, prohibit_self_type="type alias target", allowed_alias_tvars=allowed_alias_tvars, alias_type_params_names=alias_type_params_names, python_3_12_type_alias=python_3_12_type_alias, ) analyzer.in_dynamic_func = in_dynamic_func analyzer.global_scope = global_scope res = analyzer.anal_type(type, nested=False) return res, analyzer.aliases_used class TypeAnalyser(SyntheticTypeVisitor[Type], TypeAnalyzerPluginInterface): """Semantic analyzer for types. Converts unbound types into bound types. This is a no-op for already bound types. If an incomplete reference is encountered, this does a defer. The caller never needs to defer. """ # Is this called from an untyped function definition? in_dynamic_func: bool = False # Is this called from global scope? global_scope: bool = True def __init__( self, api: SemanticAnalyzerCoreInterface, tvar_scope: TypeVarLikeScope, plugin: Plugin, options: Options, cur_mod_node: MypyFile, is_typeshed_stub: bool, *, defining_alias: bool = False, python_3_12_type_alias: bool = False, allow_tuple_literal: bool = False, allow_unbound_tvars: bool = False, allow_placeholder: bool = False, allow_typed_dict_special_forms: bool = False, allow_final: bool = True, allow_param_spec_literals: bool = False, allow_unpack: bool = False, report_invalid_types: bool = True, prohibit_self_type: str | None = None, prohibit_special_class_field_types: str | None = None, allowed_alias_tvars: list[TypeVarLikeType] | None = None, allow_type_any: bool = False, alias_type_params_names: list[str] | None = None, ) -> None: self.api = api self.fail_func = api.fail self.note_func = api.note self.tvar_scope = tvar_scope # Are we analysing a type alias definition rvalue? self.defining_alias = defining_alias self.python_3_12_type_alias = python_3_12_type_alias self.allow_tuple_literal = allow_tuple_literal # Positive if we are analyzing arguments of another (outer) type self.nesting_level = 0 # Should we allow new type syntax when targeting older Python versions # like 'list[int]' or 'X | Y' (allowed in stubs and with `__future__` import)? self.always_allow_new_syntax = self.api.is_stub_file or self.api.is_future_flag_set( "annotations" ) # Should we accept unbound type variables? This is currently used for class bases, # and alias right hand sides (before they are analyzed as type aliases). self.allow_unbound_tvars = allow_unbound_tvars if allowed_alias_tvars is None: allowed_alias_tvars = [] self.allowed_alias_tvars = allowed_alias_tvars self.alias_type_params_names = alias_type_params_names # If false, record incomplete ref if we generate PlaceholderType. self.allow_placeholder = allow_placeholder # Are we in a context where Required[] is allowed? self.allow_typed_dict_special_forms = allow_typed_dict_special_forms # Set True when we analyze ClassVar else False self.allow_final = allow_final # Are we in a context where ParamSpec literals are allowed? self.allow_param_spec_literals = allow_param_spec_literals # Are we in context where literal "..." specifically is allowed? self.allow_ellipsis = False # Should we report an error whenever we encounter a RawExpressionType outside # of a Literal context: e.g. whenever we encounter an invalid type? Normally, # we want to report an error, but the caller may want to do more specialized # error handling. self.report_invalid_types = report_invalid_types self.plugin = plugin self.options = options self.cur_mod_node = cur_mod_node self.is_typeshed_stub = is_typeshed_stub # Names of type aliases encountered while analysing a type will be collected here. self.aliases_used: set[str] = set() self.prohibit_self_type = prohibit_self_type # Set when we analyze TypedDicts or NamedTuples, since they are special: self.prohibit_special_class_field_types = prohibit_special_class_field_types # Allow variables typed as Type[Any] and type (useful for base classes). self.allow_type_any = allow_type_any self.allow_type_var_tuple = False self.allow_unpack = allow_unpack def lookup_qualified( self, name: str, ctx: Context, suppress_errors: bool = False ) -> SymbolTableNode | None: return self.api.lookup_qualified(name, ctx, suppress_errors) def lookup_fully_qualified(self, fullname: str) -> SymbolTableNode: return self.api.lookup_fully_qualified(fullname) def visit_unbound_type(self, t: UnboundType, defining_literal: bool = False) -> Type: typ = self.visit_unbound_type_nonoptional(t, defining_literal) if t.optional: # We don't need to worry about double-wrapping Optionals or # wrapping Anys: Union simplification will take care of that. return make_optional_type(typ) return typ def not_declared_in_type_params(self, tvar_name: str) -> bool: return ( self.alias_type_params_names is not None and tvar_name not in self.alias_type_params_names ) def visit_unbound_type_nonoptional(self, t: UnboundType, defining_literal: bool) -> Type: sym = self.lookup_qualified(t.name, t) param_spec_name = None if t.name.endswith((".args", ".kwargs")): param_spec_name = t.name.rsplit(".", 1)[0] maybe_param_spec = self.lookup_qualified(param_spec_name, t) if maybe_param_spec and isinstance(maybe_param_spec.node, ParamSpecExpr): sym = maybe_param_spec else: param_spec_name = None if sym is not None: node = sym.node if isinstance(node, PlaceholderNode): if node.becomes_typeinfo: # Reference to placeholder type. if self.api.final_iteration: self.cannot_resolve_type(t) return AnyType(TypeOfAny.from_error) elif self.allow_placeholder: self.api.defer() else: self.api.record_incomplete_ref() # Always allow ParamSpec for placeholders, if they are actually not valid, # they will be reported later, after we resolve placeholders. return PlaceholderType( node.fullname, self.anal_array( t.args, allow_param_spec=True, allow_param_spec_literals=True, allow_unpack=True, ), t.line, ) else: if self.api.final_iteration: self.cannot_resolve_type(t) return AnyType(TypeOfAny.from_error) else: # Reference to an unknown placeholder node. self.api.record_incomplete_ref() return AnyType(TypeOfAny.special_form) if node is None: self.fail(f"Internal error (node is None, kind={sym.kind})", t) return AnyType(TypeOfAny.special_form) fullname = node.fullname hook = self.plugin.get_type_analyze_hook(fullname) if hook is not None: return hook(AnalyzeTypeContext(t, t, self)) tvar_def = self.tvar_scope.get_binding(sym) if isinstance(sym.node, ParamSpecExpr): if tvar_def is None: if self.allow_unbound_tvars: return t name = param_spec_name or t.name if self.defining_alias and self.not_declared_in_type_params(t.name): msg = f'ParamSpec "{name}" is not included in type_params' else: msg = f'ParamSpec "{name}" is unbound' self.fail(msg, t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) assert isinstance(tvar_def, ParamSpecType) if len(t.args) > 0: self.fail( f'ParamSpec "{t.name}" used with arguments', t, code=codes.VALID_TYPE ) if param_spec_name is not None and not self.allow_param_spec_literals: self.fail( "ParamSpec components are not allowed here", t, code=codes.VALID_TYPE ) return AnyType(TypeOfAny.from_error) # Change the line number return ParamSpecType( tvar_def.name, tvar_def.fullname, tvar_def.id, tvar_def.flavor, tvar_def.upper_bound, tvar_def.default, line=t.line, column=t.column, ) if ( isinstance(sym.node, TypeVarExpr) and self.defining_alias and not defining_literal and (tvar_def is None or tvar_def not in self.allowed_alias_tvars) ): if self.not_declared_in_type_params(t.name): if self.python_3_12_type_alias: msg = message_registry.TYPE_PARAMETERS_SHOULD_BE_DECLARED.format( f'"{t.name}"' ) else: msg = f'Type variable "{t.name}" is not included in type_params' else: msg = f'Can\'t use bound type variable "{t.name}" to define generic alias' self.fail(msg, t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) if isinstance(sym.node, TypeVarExpr) and tvar_def is not None: assert isinstance(tvar_def, TypeVarType) if len(t.args) > 0: self.fail( f'Type variable "{t.name}" used with arguments', t, code=codes.VALID_TYPE ) # Change the line number return tvar_def.copy_modified(line=t.line, column=t.column) if isinstance(sym.node, TypeVarTupleExpr) and ( tvar_def is not None and self.defining_alias and tvar_def not in self.allowed_alias_tvars ): if self.not_declared_in_type_params(t.name): msg = f'Type variable "{t.name}" is not included in type_params' else: msg = f'Can\'t use bound type variable "{t.name}" to define generic alias' self.fail(msg, t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) if isinstance(sym.node, TypeVarTupleExpr): if tvar_def is None: if self.allow_unbound_tvars: return t if self.defining_alias and self.not_declared_in_type_params(t.name): if self.python_3_12_type_alias: msg = message_registry.TYPE_PARAMETERS_SHOULD_BE_DECLARED.format( f'"{t.name}"' ) else: msg = f'TypeVarTuple "{t.name}" is not included in type_params' else: msg = f'TypeVarTuple "{t.name}" is unbound' self.fail(msg, t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) assert isinstance(tvar_def, TypeVarTupleType) if not self.allow_type_var_tuple: self.fail( f'TypeVarTuple "{t.name}" is only valid with an unpack', t, code=codes.VALID_TYPE, ) return AnyType(TypeOfAny.from_error) if len(t.args) > 0: self.fail( f'Type variable "{t.name}" used with arguments', t, code=codes.VALID_TYPE ) # Change the line number return TypeVarTupleType( tvar_def.name, tvar_def.fullname, tvar_def.id, tvar_def.upper_bound, sym.node.tuple_fallback, tvar_def.default, line=t.line, column=t.column, ) special = self.try_analyze_special_unbound_type(t, fullname) if special is not None: return special if isinstance(node, TypeAlias): self.aliases_used.add(fullname) an_args = self.anal_array( t.args, allow_param_spec=True, allow_param_spec_literals=node.has_param_spec_type, allow_unpack=True, # Fixed length unpacks can be used for non-variadic aliases. ) if node.has_param_spec_type and len(node.alias_tvars) == 1: an_args = self.pack_paramspec_args(an_args) disallow_any = self.options.disallow_any_generics and not self.is_typeshed_stub res = instantiate_type_alias( node, an_args, self.fail, node.no_args, t, self.options, unexpanded_type=t, disallow_any=disallow_any, empty_tuple_index=t.empty_tuple_index, ) # The only case where instantiate_type_alias() can return an incorrect instance is # when it is top-level instance, so no need to recurse. if ( isinstance(res, ProperType) and isinstance(res, Instance) and not (self.defining_alias and self.nesting_level == 0) and not validate_instance(res, self.fail, t.empty_tuple_index) ): fix_instance( res, self.fail, self.note, disallow_any=disallow_any, options=self.options, use_generic_error=True, unexpanded_type=t, ) if node.eager: res = get_proper_type(res) return res elif isinstance(node, TypeInfo): return self.analyze_type_with_type_info(node, t.args, t, t.empty_tuple_index) elif node.fullname in TYPE_ALIAS_NAMES: return AnyType(TypeOfAny.special_form) # Concatenate is an operator, no need for a proper type elif node.fullname in CONCATENATE_TYPE_NAMES: # We check the return type further up the stack for valid use locations return self.apply_concatenate_operator(t) else: return self.analyze_unbound_type_without_type_info(t, sym, defining_literal) else: # sym is None return AnyType(TypeOfAny.special_form) def pack_paramspec_args(self, an_args: Sequence[Type]) -> list[Type]: # "Aesthetic" ParamSpec literals for single ParamSpec: C[int, str] -> C[[int, str]]. # These do not support mypy_extensions VarArgs, etc. as they were already analyzed # TODO: should these be re-analyzed to get rid of this inconsistency? count = len(an_args) if count == 0: return [] if count == 1 and isinstance(get_proper_type(an_args[0]), AnyType): # Single Any is interpreted as ..., rather that a single argument with Any type. # I didn't find this in the PEP, but it sounds reasonable. return list(an_args) if any(isinstance(a, (Parameters, ParamSpecType)) for a in an_args): if len(an_args) > 1: first_wrong = next( arg for arg in an_args if isinstance(arg, (Parameters, ParamSpecType)) ) self.fail( "Nested parameter specifications are not allowed", first_wrong, code=codes.VALID_TYPE, ) return [AnyType(TypeOfAny.from_error)] return list(an_args) first = an_args[0] return [ Parameters( an_args, [ARG_POS] * count, [None] * count, line=first.line, column=first.column ) ] def cannot_resolve_type(self, t: UnboundType) -> None: # TODO: Move error message generation to messages.py. We'd first # need access to MessageBuilder here. Also move the similar # message generation logic in semanal.py. self.api.fail(f'Cannot resolve name "{t.name}" (possible cyclic definition)', t) if self.api.is_func_scope(): self.note("Recursive types are not allowed at function scope", t) def apply_concatenate_operator(self, t: UnboundType) -> Type: if len(t.args) == 0: self.api.fail("Concatenate needs type arguments", t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) # Last argument has to be ParamSpec or Ellipsis. ps = self.anal_type(t.args[-1], allow_param_spec=True, allow_ellipsis=True) if not isinstance(ps, (ParamSpecType, Parameters)): if isinstance(ps, UnboundType) and self.allow_unbound_tvars: sym = self.lookup_qualified(ps.name, t) if sym is not None and isinstance(sym.node, ParamSpecExpr): return ps self.api.fail( "The last parameter to Concatenate needs to be a ParamSpec", t, code=codes.VALID_TYPE, ) return AnyType(TypeOfAny.from_error) elif isinstance(ps, ParamSpecType) and ps.prefix.arg_types: self.api.fail("Nested Concatenates are invalid", t, code=codes.VALID_TYPE) args = self.anal_array(t.args[:-1]) pre = ps.prefix if isinstance(ps, ParamSpecType) else ps # mypy can't infer this :( names: list[str | None] = [None] * len(args) pre = Parameters( args + pre.arg_types, [ARG_POS] * len(args) + pre.arg_kinds, names + pre.arg_names, line=t.line, column=t.column, ) return ps.copy_modified(prefix=pre) if isinstance(ps, ParamSpecType) else pre def try_analyze_special_unbound_type(self, t: UnboundType, fullname: str) -> Type | None: """Bind special type that is recognized through magic name such as 'typing.Any'. Return the bound type if successful, and return None if the type is a normal type. """ if fullname == "builtins.None": return NoneType() elif fullname == "typing.Any": return AnyType(TypeOfAny.explicit, line=t.line, column=t.column) elif fullname in FINAL_TYPE_NAMES: if self.prohibit_special_class_field_types: self.fail( f"Final[...] can't be used inside a {self.prohibit_special_class_field_types}", t, code=codes.VALID_TYPE, ) else: if not self.allow_final: self.fail( "Final can be only used as an outermost qualifier in a variable annotation", t, code=codes.VALID_TYPE, ) return AnyType(TypeOfAny.from_error) elif fullname in TUPLE_NAMES: # Tuple is special because it is involved in builtin import cycle # and may be not ready when used. sym = self.api.lookup_fully_qualified_or_none("builtins.tuple") if not sym or isinstance(sym.node, PlaceholderNode): if self.api.is_incomplete_namespace("builtins"): self.api.record_incomplete_ref() else: self.fail('Name "tuple" is not defined', t) return AnyType(TypeOfAny.special_form) if len(t.args) == 0 and not t.empty_tuple_index: # Bare 'Tuple' is same as 'tuple' any_type = self.get_omitted_any(t) return self.named_type("builtins.tuple", [any_type], line=t.line, column=t.column) if len(t.args) == 2 and isinstance(t.args[1], EllipsisType): # Tuple[T, ...] (uniform, variable-length tuple) instance = self.named_type("builtins.tuple", [self.anal_type(t.args[0])]) instance.line = t.line return instance return self.tuple_type( self.anal_array(t.args, allow_unpack=True), line=t.line, column=t.column ) elif fullname == "typing.Union": items = self.anal_array(t.args) return UnionType.make_union(items, line=t.line, column=t.column) elif fullname == "typing.Optional": if len(t.args) != 1: self.fail( "Optional[...] must have exactly one type argument", t, code=codes.VALID_TYPE ) return AnyType(TypeOfAny.from_error) item = self.anal_type(t.args[0]) return make_optional_type(item) elif fullname == "typing.Callable": return self.analyze_callable_type(t) elif fullname in TYPE_NAMES: if len(t.args) == 0: if fullname == "typing.Type": any_type = self.get_omitted_any(t) return TypeType(any_type, line=t.line, column=t.column) else: # To prevent assignment of 'builtins.type' inferred as 'builtins.object' # See https://github.com/python/mypy/issues/9476 for more information return None type_str = "Type[...]" if fullname == "typing.Type" else "type[...]" if len(t.args) != 1: self.fail( f"{type_str} must have exactly one type argument", t, code=codes.VALID_TYPE ) item = self.anal_type(t.args[0]) bad_item_name = get_bad_type_type_item(item) if bad_item_name: self.fail(f'{type_str} can\'t contain "{bad_item_name}"', t, code=codes.VALID_TYPE) item = AnyType(TypeOfAny.from_error) return TypeType.make_normalized(item, line=t.line, column=t.column) elif fullname in ("typing_extensions.TypeForm", "typing.TypeForm"): if TYPE_FORM not in self.options.enable_incomplete_feature: self.fail( "TypeForm is experimental," " must be enabled with --enable-incomplete-feature=TypeForm", t, ) if len(t.args) == 0: any_type = self.get_omitted_any(t) return TypeType(any_type, line=t.line, column=t.column, is_type_form=True) if len(t.args) != 1: type_str = "TypeForm[...]" self.fail( type_str + " must have exactly one type argument", t, code=codes.VALID_TYPE ) item = self.anal_type(t.args[0]) return TypeType.make_normalized(item, line=t.line, column=t.column, is_type_form=True) elif fullname == "typing.ClassVar": if self.nesting_level > 0: self.fail( "Invalid type: ClassVar nested inside other type", t, code=codes.VALID_TYPE ) if self.prohibit_special_class_field_types: self.fail( f"ClassVar[...] can't be used inside a {self.prohibit_special_class_field_types}", t, code=codes.VALID_TYPE, ) if self.defining_alias: self.fail( "ClassVar[...] can't be used inside a type alias", t, code=codes.VALID_TYPE ) if len(t.args) == 0: return AnyType(TypeOfAny.from_omitted_generics, line=t.line, column=t.column) if len(t.args) != 1: self.fail( "ClassVar[...] must have at most one type argument", t, code=codes.VALID_TYPE ) return AnyType(TypeOfAny.from_error) return self.anal_type(t.args[0], allow_final=self.options.python_version >= (3, 13)) elif fullname in NEVER_NAMES: return UninhabitedType() elif fullname in LITERAL_TYPE_NAMES: return self.analyze_literal_type(t) elif fullname in ANNOTATED_TYPE_NAMES: if len(t.args) < 2: self.fail( "Annotated[...] must have exactly one type argument" " and at least one annotation", t, code=codes.VALID_TYPE, ) return AnyType(TypeOfAny.from_error) return self.anal_type( t.args[0], allow_typed_dict_special_forms=self.allow_typed_dict_special_forms ) elif fullname in ("typing_extensions.Required", "typing.Required"): if not self.allow_typed_dict_special_forms: self.fail( "Required[] can be only used in a TypedDict definition", t, code=codes.VALID_TYPE, ) return AnyType(TypeOfAny.from_error) if len(t.args) != 1: self.fail( "Required[] must have exactly one type argument", t, code=codes.VALID_TYPE ) return AnyType(TypeOfAny.from_error) return RequiredType( self.anal_type(t.args[0], allow_typed_dict_special_forms=True), required=True ) elif fullname in ("typing_extensions.NotRequired", "typing.NotRequired"): if not self.allow_typed_dict_special_forms: self.fail( "NotRequired[] can be only used in a TypedDict definition", t, code=codes.VALID_TYPE, ) return AnyType(TypeOfAny.from_error) if len(t.args) != 1: self.fail( "NotRequired[] must have exactly one type argument", t, code=codes.VALID_TYPE ) return AnyType(TypeOfAny.from_error) return RequiredType( self.anal_type(t.args[0], allow_typed_dict_special_forms=True), required=False ) elif fullname in ("typing_extensions.ReadOnly", "typing.ReadOnly"): if not self.allow_typed_dict_special_forms: self.fail( "ReadOnly[] can be only used in a TypedDict definition", t, code=codes.VALID_TYPE, ) return AnyType(TypeOfAny.from_error) if len(t.args) != 1: self.fail( '"ReadOnly[]" must have exactly one type argument', t, code=codes.VALID_TYPE ) return AnyType(TypeOfAny.from_error) return ReadOnlyType(self.anal_type(t.args[0], allow_typed_dict_special_forms=True)) elif ( self.anal_type_guard_arg(t, fullname) is not None or self.anal_type_is_arg(t, fullname) is not None ): # In most contexts, TypeGuard[...] acts as an alias for bool (ignoring its args) return self.named_type("builtins.bool") elif fullname in UNPACK_TYPE_NAMES: if len(t.args) != 1: self.fail("Unpack[...] requires exactly one type argument", t) return AnyType(TypeOfAny.from_error) if not self.allow_unpack: self.fail(message_registry.INVALID_UNPACK_POSITION, t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) self.allow_type_var_tuple = True result = UnpackType(self.anal_type(t.args[0]), line=t.line, column=t.column) self.allow_type_var_tuple = False return result elif fullname in SELF_TYPE_NAMES: if t.args: self.fail("Self type cannot have type arguments", t) if self.prohibit_self_type is not None: self.fail(f"Self type cannot be used in {self.prohibit_self_type}", t) return AnyType(TypeOfAny.from_error) if self.api.type is None: self.fail("Self type is only allowed in annotations within class definition", t) return AnyType(TypeOfAny.from_error) if self.api.type.has_base("builtins.type"): self.fail("Self type cannot be used in a metaclass", t) if self.api.type.self_type is not None: if self.api.type.is_final or self.api.type.is_enum and self.api.type.enum_members: return fill_typevars(self.api.type) return self.api.type.self_type.copy_modified(line=t.line, column=t.column) # TODO: verify this is unreachable and replace with an assert? self.fail("Unexpected Self type", t) return AnyType(TypeOfAny.from_error) return None def get_omitted_any(self, typ: Type, fullname: str | None = None) -> AnyType: disallow_any = not self.is_typeshed_stub and self.options.disallow_any_generics return get_omitted_any(disallow_any, self.fail, self.note, typ, self.options, fullname) def check_and_warn_deprecated(self, info: TypeInfo, ctx: Context) -> None: """Similar logic to `TypeChecker.check_deprecated` and `TypeChecker.warn_deprecated.""" if ( (deprecated := info.deprecated) and not self.is_typeshed_stub and not (self.api.type and (self.api.type.fullname == info.fullname)) and not any( info.fullname == p or info.fullname.startswith(f"{p}.") for p in self.options.deprecated_calls_exclude ) ): for imp in self.cur_mod_node.imports: if isinstance(imp, ImportFrom) and any(info.name == n[0] for n in imp.names): break else: warn = self.note if self.options.report_deprecated_as_note else self.fail warn(deprecated, ctx, code=codes.DEPRECATED) def analyze_type_with_type_info( self, info: TypeInfo, args: Sequence[Type], ctx: Context, empty_tuple_index: bool ) -> Type: """Bind unbound type when were able to find target TypeInfo. This handles simple cases like 'int', 'modname.UserClass[str]', etc. """ self.check_and_warn_deprecated(info, ctx) if len(args) > 0 and info.fullname == "builtins.tuple": fallback = Instance(info, [AnyType(TypeOfAny.special_form)], ctx.line) return TupleType(self.anal_array(args, allow_unpack=True), fallback, ctx.line) # Analyze arguments and (usually) construct Instance type. The # number of type arguments and their values are # checked only later, since we do not always know the # valid count at this point. Thus we may construct an # Instance with an invalid number of type arguments. # # We allow ParamSpec literals based on a heuristic: it will be # checked later anyways but the error message may be worse. instance = Instance( info, self.anal_array( args, allow_param_spec=True, allow_param_spec_literals=info.has_param_spec_type, allow_unpack=True, # Fixed length tuples can be used for non-variadic types. ), ctx.line, ctx.column, ) instance.end_line = ctx.end_line instance.end_column = ctx.end_column if len(info.type_vars) == 1 and info.has_param_spec_type: instance.args = tuple(self.pack_paramspec_args(instance.args)) # Check type argument count. instance.args = tuple(flatten_nested_tuples(instance.args)) if not (self.defining_alias and self.nesting_level == 0) and not validate_instance( instance, self.fail, empty_tuple_index ): fix_instance( instance, self.fail, self.note, disallow_any=self.options.disallow_any_generics and not self.is_typeshed_stub, options=self.options, ) tup = info.tuple_type if tup is not None: # The class has a Tuple[...] base class so it will be # represented as a tuple type. if info.special_alias: return instantiate_type_alias( info.special_alias, # TODO: should we allow NamedTuples generic in ParamSpec? self.anal_array(args, allow_unpack=True), self.fail, False, ctx, self.options, use_standard_error=True, ) return tup.copy_modified( items=self.anal_array(tup.items, allow_unpack=True), fallback=instance ) td = info.typeddict_type if td is not None: # The class has a TypedDict[...] base class so it will be # represented as a typeddict type. if info.special_alias: return instantiate_type_alias( info.special_alias, # TODO: should we allow TypedDicts generic in ParamSpec? self.anal_array(args, allow_unpack=True), self.fail, False, ctx, self.options, use_standard_error=True, ) # Create a named TypedDictType return td.copy_modified( item_types=self.anal_array(list(td.items.values())), fallback=instance ) if info.fullname == "types.NoneType": self.fail( "NoneType should not be used as a type, please use None instead", ctx, code=codes.VALID_TYPE, ) return NoneType(ctx.line, ctx.column) return instance def analyze_unbound_type_without_type_info( self, t: UnboundType, sym: SymbolTableNode, defining_literal: bool ) -> Type: """Figure out what an unbound type that doesn't refer to a TypeInfo node means. This is something unusual. We try our best to find out what it is. """ name = sym.fullname if name is None: assert sym.node is not None name = sym.node.name # Option 1: # Something with an Any type -- make it an alias for Any in a type # context. This is slightly problematic as it allows using the type 'Any' # as a base class -- however, this will fail soon at runtime so the problem # is pretty minor. if isinstance(sym.node, Var): typ = get_proper_type(sym.node.type) if isinstance(typ, AnyType): return AnyType( TypeOfAny.from_unimported_type, missing_import_name=typ.missing_import_name ) elif self.allow_type_any: if isinstance(typ, Instance) and typ.type.fullname == "builtins.type": return AnyType(TypeOfAny.special_form) if isinstance(typ, TypeType) and isinstance(typ.item, AnyType): return AnyType(TypeOfAny.from_another_any, source_any=typ.item) # Option 2: # Unbound type variable. Currently these may be still valid, # for example when defining a generic type alias. unbound_tvar = ( isinstance(sym.node, (TypeVarExpr, TypeVarTupleExpr)) and self.tvar_scope.get_binding(sym) is None ) if self.allow_unbound_tvars and unbound_tvar: return t # Option 3: # Enum value. Note: we only want to return a LiteralType when # we're using this enum value specifically within context of # a "Literal[...]" type. So, if `defining_literal` is not set, # we bail out early with an error. # # If, in the distant future, we decide to permit things like # `def foo(x: Color.RED) -> None: ...`, we can remove that # check entirely. if ( isinstance(sym.node, Var) and sym.node.info and sym.node.info.is_enum and not sym.node.name.startswith("__") ): value = sym.node.name base_enum_short_name = sym.node.info.name if not defining_literal: msg = message_registry.INVALID_TYPE_RAW_ENUM_VALUE.format( base_enum_short_name, value ) self.fail(msg.value, t, code=msg.code) return AnyType(TypeOfAny.from_error) return LiteralType( value=value, fallback=Instance(sym.node.info, [], line=t.line, column=t.column), line=t.line, column=t.column, ) # None of the above options worked. We parse the args (if there are any) # to make sure there are no remaining semanal-only types, then give up. t = t.copy_modified(args=self.anal_array(t.args)) # TODO: Move this message building logic to messages.py. notes: list[str] = [] error_code = codes.VALID_TYPE if isinstance(sym.node, Var): notes.append( "See https://mypy.readthedocs.io/en/" "stable/common_issues.html#variables-vs-type-aliases" ) message = 'Variable "{}" is not valid as a type' elif isinstance(sym.node, (SYMBOL_FUNCBASE_TYPES, Decorator)): message = 'Function "{}" is not valid as a type' if name == "builtins.any": notes.append('Perhaps you meant "typing.Any" instead of "any"?') elif name == "builtins.callable": notes.append('Perhaps you meant "typing.Callable" instead of "callable"?') else: notes.append('Perhaps you need "Callable[...]" or a callback protocol?') elif isinstance(sym.node, MypyFile): message = 'Module "{}" is not valid as a type' notes.append("Perhaps you meant to use a protocol matching the module structure?") elif unbound_tvar: assert isinstance(sym.node, TypeVarLikeExpr) if sym.node.is_new_style: # PEP 695 type parameters are never considered unbound -- they are undefined # in contexts where they aren't valid, such as in argument default values. message = 'Name "{}" is not defined' name = name.split(".")[-1] error_code = codes.NAME_DEFINED else: message = 'Type variable "{}" is unbound' short = name.split(".")[-1] notes.append( f'(Hint: Use "Generic[{short}]" or "Protocol[{short}]" base class' f' to bind "{short}" inside a class)' ) notes.append( f'(Hint: Use "{short}" in function signature ' f'to bind "{short}" inside a function)' ) else: message = 'Cannot interpret reference "{}" as a type' if not defining_literal: # Literal check already gives a custom error. Avoid duplicating errors. self.fail(message.format(name), t, code=error_code) for note in notes: self.note(note, t, code=error_code) # TODO: Would it be better to always return Any instead of UnboundType # in case of an error? On one hand, UnboundType has a name so error messages # are more detailed, on the other hand, some of them may be bogus, # see https://github.com/python/mypy/issues/4987. return t def visit_any(self, t: AnyType) -> Type: return t def visit_none_type(self, t: NoneType) -> Type: return t def visit_uninhabited_type(self, t: UninhabitedType) -> Type: return t def visit_erased_type(self, t: ErasedType) -> Type: # This type should exist only temporarily during type inference assert False, "Internal error: Unexpected erased type" def visit_deleted_type(self, t: DeletedType) -> Type: return t def visit_type_list(self, t: TypeList) -> Type: # Parameters literal (Z[[int, str, Whatever]]) if self.allow_param_spec_literals: params = self.analyze_callable_args(t) if params: ts, kinds, names = params # bind these types return Parameters(self.anal_array(ts), kinds, names, line=t.line, column=t.column) else: return AnyType(TypeOfAny.from_error) else: self.fail( 'Bracketed expression "[...]" is not valid as a type', t, code=codes.VALID_TYPE ) if len(t.items) == 1: self.note('Did you mean "List[...]"?', t) return AnyType(TypeOfAny.from_error) def visit_callable_argument(self, t: CallableArgument) -> Type: self.fail("Invalid type", t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) def visit_instance(self, t: Instance) -> Type: return t def visit_type_alias_type(self, t: TypeAliasType) -> Type: # TODO: should we do something here? return t def visit_type_var(self, t: TypeVarType) -> Type: return t def visit_param_spec(self, t: ParamSpecType) -> Type: return t def visit_type_var_tuple(self, t: TypeVarTupleType) -> Type: return t def visit_unpack_type(self, t: UnpackType) -> Type: if not self.allow_unpack: self.fail(message_registry.INVALID_UNPACK_POSITION, t.type, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) self.allow_type_var_tuple = True result = UnpackType(self.anal_type(t.type), from_star_syntax=t.from_star_syntax) self.allow_type_var_tuple = False return result def visit_parameters(self, t: Parameters) -> Type: raise NotImplementedError("ParamSpec literals cannot have unbound TypeVars") def visit_callable_type( self, t: CallableType, nested: bool = True, namespace: str = "" ) -> Type: # Every Callable can bind its own type variables, if they're not in the outer scope # TODO: attach namespace for nested free type variables (these appear in return type only). with self.tvar_scope_frame(namespace=namespace): unpacked_kwargs = t.unpack_kwargs if self.defining_alias: variables = t.variables else: variables, _ = self.bind_function_type_variables(t, t) type_guard = self.anal_type_guard(t.ret_type) if t.type_guard is None else t.type_guard type_is = self.anal_type_is(t.ret_type) if t.type_is is None else t.type_is arg_kinds = t.arg_kinds arg_types = [] param_spec_with_args = param_spec_with_kwargs = None param_spec_invalid = False for kind, ut in zip(arg_kinds, t.arg_types): if kind == ARG_STAR: param_spec_with_args, at = self.anal_star_arg_type(ut, kind, nested=nested) elif kind == ARG_STAR2: param_spec_with_kwargs, at = self.anal_star_arg_type(ut, kind, nested=nested) else: if param_spec_with_args: param_spec_invalid = True self.fail( "Arguments not allowed after ParamSpec.args", t, code=codes.VALID_TYPE ) at = self.anal_type(ut, nested=nested, allow_unpack=False) arg_types.append(at) if nested and arg_types: # If we've got a Callable[[Unpack[SomeTypedDict]], None], make sure # Unpack is interpreted as `**` and not as `*`. last = arg_types[-1] if isinstance(last, UnpackType): # TODO: it would be better to avoid this get_proper_type() call. p_at = get_proper_type(last.type) if isinstance(p_at, TypedDictType) and not last.from_star_syntax: # Automatically detect Unpack[Foo] in Callable as backwards # compatible syntax for **Foo, if Foo is a TypedDict. arg_kinds[-1] = ARG_STAR2 arg_types[-1] = p_at unpacked_kwargs = True arg_types = self.check_unpacks_in_list(arg_types) if not param_spec_invalid and param_spec_with_args != param_spec_with_kwargs: # If already invalid, do not report more errors - definition has # to be fixed anyway name = param_spec_with_args or param_spec_with_kwargs self.fail( f'ParamSpec must have "*args" typed as "{name}.args" and "**kwargs" typed as "{name}.kwargs"', t, code=codes.VALID_TYPE, ) param_spec_invalid = True if param_spec_invalid: if ARG_STAR in arg_kinds: arg_types[arg_kinds.index(ARG_STAR)] = AnyType(TypeOfAny.from_error) if ARG_STAR2 in arg_kinds: arg_types[arg_kinds.index(ARG_STAR2)] = AnyType(TypeOfAny.from_error) # If there were multiple (invalid) unpacks, the arg types list will become shorter, # we need to trim the kinds/names as well to avoid crashes. arg_kinds = t.arg_kinds[: len(arg_types)] arg_names = t.arg_names[: len(arg_types)] ret = t.copy_modified( arg_types=arg_types, arg_kinds=arg_kinds, arg_names=arg_names, ret_type=self.anal_type(t.ret_type, nested=nested), # If the fallback isn't filled in yet, # its type will be the falsey FakeInfo fallback=(t.fallback if t.fallback.type else self.named_type("builtins.function")), variables=self.anal_var_defs(variables), type_guard=type_guard, type_is=type_is, unpack_kwargs=unpacked_kwargs, ) return ret def anal_type_guard(self, t: Type) -> Type | None: if isinstance(t, UnboundType): sym = self.lookup_qualified(t.name, t) if sym is not None and sym.node is not None: return self.anal_type_guard_arg(t, sym.node.fullname) # TODO: What if it's an Instance? Then use t.type.fullname? return None def anal_type_guard_arg(self, t: UnboundType, fullname: str) -> Type | None: if fullname in ("typing_extensions.TypeGuard", "typing.TypeGuard"): if len(t.args) != 1: self.fail( "TypeGuard must have exactly one type argument", t, code=codes.VALID_TYPE ) return AnyType(TypeOfAny.from_error) return self.anal_type(t.args[0]) return None def anal_type_is(self, t: Type) -> Type | None: if isinstance(t, UnboundType): sym = self.lookup_qualified(t.name, t) if sym is not None and sym.node is not None: return self.anal_type_is_arg(t, sym.node.fullname) # TODO: What if it's an Instance? Then use t.type.fullname? return None def anal_type_is_arg(self, t: UnboundType, fullname: str) -> Type | None: if fullname in ("typing_extensions.TypeIs", "typing.TypeIs"): if len(t.args) != 1: self.fail("TypeIs must have exactly one type argument", t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) return self.anal_type(t.args[0]) return None def anal_star_arg_type(self, t: Type, kind: ArgKind, nested: bool) -> tuple[str | None, Type]: """Analyze signature argument type for *args and **kwargs argument.""" if isinstance(t, UnboundType) and t.name and "." in t.name and not t.args: components = t.name.split(".") tvar_name = ".".join(components[:-1]) sym = self.lookup_qualified(tvar_name, t) if sym is not None and isinstance(sym.node, ParamSpecExpr): tvar_def = self.tvar_scope.get_binding(sym) if isinstance(tvar_def, ParamSpecType): if kind == ARG_STAR: make_paramspec = paramspec_args if components[-1] != "args": self.fail( f'Use "{tvar_name}.args" for variadic "*" parameter', t, code=codes.VALID_TYPE, ) elif kind == ARG_STAR2: make_paramspec = paramspec_kwargs if components[-1] != "kwargs": self.fail( f'Use "{tvar_name}.kwargs" for variadic "**" parameter', t, code=codes.VALID_TYPE, ) else: assert False, kind return tvar_name, make_paramspec( tvar_def.name, tvar_def.fullname, tvar_def.id, named_type_func=self.named_type, line=t.line, column=t.column, ) return None, self.anal_type(t, nested=nested, allow_unpack=True) def visit_overloaded(self, t: Overloaded) -> Type: # Overloaded types are manually constructed in semanal.py by analyzing the # AST and combining together the Callable types this visitor converts. # # So if we're ever asked to reanalyze an Overloaded type, we know it's # fine to just return it as-is. return t def visit_tuple_type(self, t: TupleType) -> Type: # Types such as (t1, t2, ...) only allowed in assignment statements. They'll # generate errors elsewhere, and Tuple[t1, t2, ...] must be used instead. if t.implicit and not self.allow_tuple_literal: self.fail("Syntax error in type annotation", t, code=codes.SYNTAX) if len(t.items) == 0: self.note( "Suggestion: Use Tuple[()] instead of () for an empty tuple, or " "None for a function without a return value", t, code=codes.SYNTAX, ) elif len(t.items) == 1: self.note("Suggestion: Is there a spurious trailing comma?", t, code=codes.SYNTAX) else: self.note( "Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn)", t, code=codes.SYNTAX, ) return AnyType(TypeOfAny.from_error) any_type = AnyType(TypeOfAny.special_form) # If the fallback isn't filled in yet, its type will be the falsey FakeInfo fallback = ( t.partial_fallback if t.partial_fallback.type else self.named_type("builtins.tuple", [any_type]) ) return TupleType(self.anal_array(t.items, allow_unpack=True), fallback, t.line) def visit_typeddict_type(self, t: TypedDictType) -> Type: req_keys = set() readonly_keys = set() items = {} for item_name, item_type in t.items.items(): # TODO: rework analyzed = self.anal_type(item_type, allow_typed_dict_special_forms=True) if isinstance(analyzed, RequiredType): if analyzed.required: req_keys.add(item_name) analyzed = analyzed.item else: # Keys are required by default. req_keys.add(item_name) if isinstance(analyzed, ReadOnlyType): readonly_keys.add(item_name) analyzed = analyzed.item items[item_name] = analyzed if t.fallback.type is MISSING_FALLBACK: # anonymous/inline TypedDict if INLINE_TYPEDDICT not in self.options.enable_incomplete_feature: self.fail( "Inline TypedDict is experimental," " must be enabled with --enable-incomplete-feature=InlineTypedDict", t, ) required_keys = req_keys fallback = self.named_type("typing._TypedDict") for typ in t.extra_items_from: analyzed = self.analyze_type(typ) p_analyzed = get_proper_type(analyzed) if not isinstance(p_analyzed, TypedDictType): if not isinstance(p_analyzed, (AnyType, PlaceholderType)): self.fail("Can only merge-in other TypedDict", t, code=codes.VALID_TYPE) continue for sub_item_name, sub_item_type in p_analyzed.items.items(): if sub_item_name in items: self.fail(TYPEDDICT_OVERRIDE_MERGE.format(sub_item_name), t) continue items[sub_item_name] = sub_item_type if sub_item_name in p_analyzed.required_keys: req_keys.add(sub_item_name) if sub_item_name in p_analyzed.readonly_keys: readonly_keys.add(sub_item_name) else: required_keys = t.required_keys fallback = t.fallback return TypedDictType(items, required_keys, readonly_keys, fallback, t.line, t.column) def visit_raw_expression_type(self, t: RawExpressionType) -> Type: # We should never see a bare Literal. We synthesize these raw literals # in the earlier stages of semantic analysis, but those # "fake literals" should always be wrapped in an UnboundType # corresponding to 'Literal'. # # Note: if at some point in the distant future, we decide to # make signatures like "foo(x: 20) -> None" legal, we can change # this method so it generates and returns an actual LiteralType # instead. if self.report_invalid_types: if t.base_type_name in ("builtins.int", "builtins.bool"): # The only time it makes sense to use an int or bool is inside of # a literal type. msg = f"Invalid type: try using Literal[{repr(t.literal_value)}] instead?" elif t.base_type_name in ("builtins.float", "builtins.complex"): # We special-case warnings for floats and complex numbers. msg = f"Invalid type: {t.simple_name()} literals cannot be used as a type" else: # And in all other cases, we default to a generic error message. # Note: the reason why we use a generic error message for strings # but not ints or bools is because whenever we see an out-of-place # string, it's unclear if the user meant to construct a literal type # or just misspelled a regular type. So we avoid guessing. msg = "Invalid type comment or annotation" self.fail(msg, t, code=codes.VALID_TYPE) if t.note is not None: self.note(t.note, t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error, line=t.line, column=t.column) def visit_literal_type(self, t: LiteralType) -> Type: return t def visit_union_type(self, t: UnionType) -> Type: if ( t.uses_pep604_syntax is True and t.is_evaluated is True and not self.always_allow_new_syntax and not self.options.python_version >= (3, 10) ): self.fail("X | Y syntax for unions requires Python 3.10", t, code=codes.SYNTAX) return UnionType(self.anal_array(t.items), t.line, uses_pep604_syntax=t.uses_pep604_syntax) def visit_partial_type(self, t: PartialType) -> Type: assert False, "Internal error: Unexpected partial type" def visit_ellipsis_type(self, t: EllipsisType) -> Type: if self.allow_ellipsis or self.allow_param_spec_literals: any_type = AnyType(TypeOfAny.explicit) return Parameters( [any_type, any_type], [ARG_STAR, ARG_STAR2], [None, None], is_ellipsis_args=True ) else: self.fail('Unexpected "..."', t) return AnyType(TypeOfAny.from_error) def visit_type_type(self, t: TypeType) -> Type: return TypeType.make_normalized( self.anal_type(t.item), line=t.line, is_type_form=t.is_type_form ) def visit_placeholder_type(self, t: PlaceholderType) -> Type: n = ( None # No dot in fullname indicates we are at function scope, and recursive # types are not supported there anyway, so we just give up. if not t.fullname or "." not in t.fullname else self.api.lookup_fully_qualified(t.fullname) ) if not n or isinstance(n.node, PlaceholderNode): self.api.defer() # Still incomplete return t else: # TODO: Handle non-TypeInfo assert isinstance(n.node, TypeInfo) return self.analyze_type_with_type_info(n.node, t.args, t, False) def analyze_callable_args_for_paramspec( self, callable_args: Type, ret_type: Type, fallback: Instance ) -> CallableType | None: """Construct a 'Callable[P, RET]', where P is ParamSpec, return None if we cannot.""" if not isinstance(callable_args, UnboundType): return None sym = self.lookup_qualified(callable_args.name, callable_args) if sym is None: return None tvar_def = self.tvar_scope.get_binding(sym) if not isinstance(tvar_def, ParamSpecType): if ( tvar_def is None and self.allow_unbound_tvars and isinstance(sym.node, ParamSpecExpr) ): # We are analyzing this type in runtime context (e.g. as type application). # If it is not valid as a type in this position an error will be given later. return callable_with_ellipsis( AnyType(TypeOfAny.explicit), ret_type=ret_type, fallback=fallback ) return None elif ( self.defining_alias and self.not_declared_in_type_params(tvar_def.name) and tvar_def not in self.allowed_alias_tvars ): if self.python_3_12_type_alias: msg = message_registry.TYPE_PARAMETERS_SHOULD_BE_DECLARED.format( f'"{tvar_def.name}"' ) else: msg = f'ParamSpec "{tvar_def.name}" is not included in type_params' self.fail(msg, callable_args, code=codes.VALID_TYPE) return callable_with_ellipsis( AnyType(TypeOfAny.special_form), ret_type=ret_type, fallback=fallback ) return CallableType( [ paramspec_args( tvar_def.name, tvar_def.fullname, tvar_def.id, named_type_func=self.named_type ), paramspec_kwargs( tvar_def.name, tvar_def.fullname, tvar_def.id, named_type_func=self.named_type ), ], [nodes.ARG_STAR, nodes.ARG_STAR2], [None, None], ret_type=ret_type, fallback=fallback, ) def analyze_callable_args_for_concatenate( self, callable_args: Type, ret_type: Type, fallback: Instance ) -> CallableType | AnyType | None: """Construct a 'Callable[C, RET]', where C is Concatenate[..., P], returning None if we cannot. """ if not isinstance(callable_args, UnboundType): return None sym = self.lookup_qualified(callable_args.name, callable_args) if sym is None: return None if sym.node is None: return None if sym.node.fullname not in CONCATENATE_TYPE_NAMES: return None tvar_def = self.anal_type(callable_args, allow_param_spec=True) if not isinstance(tvar_def, (ParamSpecType, Parameters)): if self.allow_unbound_tvars and isinstance(tvar_def, UnboundType): sym = self.lookup_qualified(tvar_def.name, callable_args) if sym is not None and isinstance(sym.node, ParamSpecExpr): # We are analyzing this type in runtime context (e.g. as type application). # If it is not valid as a type in this position an error will be given later. return callable_with_ellipsis( AnyType(TypeOfAny.explicit), ret_type=ret_type, fallback=fallback ) # Error was already given, so prevent further errors. return AnyType(TypeOfAny.from_error) if isinstance(tvar_def, Parameters): # This comes from Concatenate[int, ...] return CallableType( arg_types=tvar_def.arg_types, arg_names=tvar_def.arg_names, arg_kinds=tvar_def.arg_kinds, ret_type=ret_type, fallback=fallback, from_concatenate=True, ) # ick, CallableType should take ParamSpecType prefix = tvar_def.prefix # we don't set the prefix here as generic arguments will get updated at some point # in the future. CallableType.param_spec() accounts for this. return CallableType( [ *prefix.arg_types, paramspec_args( tvar_def.name, tvar_def.fullname, tvar_def.id, named_type_func=self.named_type ), paramspec_kwargs( tvar_def.name, tvar_def.fullname, tvar_def.id, named_type_func=self.named_type ), ], [*prefix.arg_kinds, nodes.ARG_STAR, nodes.ARG_STAR2], [*prefix.arg_names, None, None], ret_type=ret_type, fallback=fallback, from_concatenate=True, ) def analyze_callable_type(self, t: UnboundType) -> Type: fallback = self.named_type("builtins.function") if len(t.args) == 0: # Callable (bare). Treat as Callable[..., Any]. any_type = self.get_omitted_any(t) ret = callable_with_ellipsis(any_type, any_type, fallback) elif len(t.args) == 2: callable_args = t.args[0] ret_type = t.args[1] if isinstance(callable_args, TypeList): # Callable[[ARG, ...], RET] (ordinary callable type) analyzed_args = self.analyze_callable_args(callable_args) if analyzed_args is None: return AnyType(TypeOfAny.from_error) args, kinds, names = analyzed_args ret = CallableType(args, kinds, names, ret_type=ret_type, fallback=fallback) elif isinstance(callable_args, EllipsisType): # Callable[..., RET] (with literal ellipsis; accept arbitrary arguments) ret = callable_with_ellipsis( AnyType(TypeOfAny.explicit), ret_type=ret_type, fallback=fallback ) else: # Callable[P, RET] (where P is ParamSpec) with self.tvar_scope_frame(namespace=""): # Temporarily bind ParamSpecs to allow code like this: # my_fun: Callable[Q, Foo[Q]] # We usually do this later in visit_callable_type(), but the analysis # below happens at very early stage. variables = [] for name, tvar_expr in self.find_type_var_likes(callable_args): variables.append(self.tvar_scope.bind_new(name, tvar_expr)) maybe_ret = self.analyze_callable_args_for_paramspec( callable_args, ret_type, fallback ) or self.analyze_callable_args_for_concatenate( callable_args, ret_type, fallback ) if isinstance(maybe_ret, CallableType): maybe_ret = maybe_ret.copy_modified(variables=variables) if maybe_ret is None: # Callable[?, RET] (where ? is something invalid) self.fail( "The first argument to Callable must be a " 'list of types, parameter specification, or "..."', t, code=codes.VALID_TYPE, ) self.note( "See https://mypy.readthedocs.io/en/stable/kinds_of_types.html#callable-types-and-lambdas", t, ) return AnyType(TypeOfAny.from_error) elif isinstance(maybe_ret, AnyType): return maybe_ret ret = maybe_ret else: if self.options.disallow_any_generics: self.fail('Please use "Callable[[], ]"', t) else: self.fail('Please use "Callable[[], ]" or "Callable"', t) return AnyType(TypeOfAny.from_error) assert isinstance(ret, CallableType) return ret.accept(self) def refers_to_full_names(self, arg: UnboundType, names: Sequence[str]) -> bool: sym = self.lookup_qualified(arg.name, arg) if sym is not None: if sym.fullname in names: return True return False def analyze_callable_args( self, arglist: TypeList ) -> tuple[list[Type], list[ArgKind], list[str | None]] | None: args: list[Type] = [] kinds: list[ArgKind] = [] names: list[str | None] = [] seen_unpack = False unpack_types: list[Type] = [] invalid_unpacks: list[Type] = [] second_unpack_last = False for i, arg in enumerate(arglist.items): if isinstance(arg, CallableArgument): args.append(arg.typ) names.append(arg.name) if arg.constructor is None: return None found = self.lookup_qualified(arg.constructor, arg) if found is None: # Looking it up already put an error message in return None elif found.fullname not in ARG_KINDS_BY_CONSTRUCTOR: self.fail(f'Invalid argument constructor "{found.fullname}"', arg) return None else: assert found.fullname is not None kind = ARG_KINDS_BY_CONSTRUCTOR[found.fullname] kinds.append(kind) if arg.name is not None and kind.is_star(): self.fail(f"{arg.constructor} arguments should not have names", arg) return None elif ( isinstance(arg, UnboundType) and self.refers_to_full_names(arg, UNPACK_TYPE_NAMES) or isinstance(arg, UnpackType) ): if seen_unpack: # Multiple unpacks, preserve them, so we can give an error later. if i == len(arglist.items) - 1 and not invalid_unpacks: # Special case: if there are just two unpacks, and the second one appears # as last type argument, it can be still valid, if the second unpacked type # is a TypedDict. This should be checked by the caller. second_unpack_last = True invalid_unpacks.append(arg) continue seen_unpack = True unpack_types.append(arg) else: if seen_unpack: unpack_types.append(arg) else: args.append(arg) kinds.append(ARG_POS) names.append(None) if seen_unpack: if len(unpack_types) == 1: args.append(unpack_types[0]) else: first = unpack_types[0] if isinstance(first, UnpackType): # UnpackType doesn't have its own line/column numbers, # so use the unpacked type for error messages. first = first.type args.append( UnpackType(self.tuple_type(unpack_types, line=first.line, column=first.column)) ) kinds.append(ARG_STAR) names.append(None) for arg in invalid_unpacks: args.append(arg) kinds.append(ARG_STAR2 if second_unpack_last else ARG_STAR) names.append(None) # Note that arglist below is only used for error context. check_arg_names(names, [arglist] * len(args), self.fail, "Callable") check_arg_kinds(kinds, [arglist] * len(args), self.fail) return args, kinds, names def analyze_literal_type(self, t: UnboundType) -> Type: if len(t.args) == 0: self.fail("Literal[...] must have at least one parameter", t, code=codes.VALID_TYPE) return AnyType(TypeOfAny.from_error) output: list[Type] = [] for i, arg in enumerate(t.args): analyzed_types = self.analyze_literal_param(i + 1, arg, t) if analyzed_types is None: return AnyType(TypeOfAny.from_error) else: output.extend(analyzed_types) return UnionType.make_union(output, line=t.line) def analyze_literal_param(self, idx: int, arg: Type, ctx: Context) -> list[Type] | None: # This UnboundType was originally defined as a string. if ( isinstance(arg, ProperType) and isinstance(arg, (UnboundType, UnionType)) and arg.original_str_expr is not None ): assert arg.original_str_fallback is not None return [ LiteralType( value=arg.original_str_expr, fallback=self.named_type(arg.original_str_fallback), line=arg.line, column=arg.column, ) ] # If arg is an UnboundType that was *not* originally defined as # a string, try expanding it in case it's a type alias or something. if isinstance(arg, UnboundType): self.nesting_level += 1 try: arg = self.visit_unbound_type(arg, defining_literal=True) finally: self.nesting_level -= 1 # Literal[...] cannot contain Any. Give up and add an error message # (if we haven't already). arg = get_proper_type(arg) if isinstance(arg, AnyType): # Note: We can encounter Literals containing 'Any' under three circumstances: # # 1. If the user attempts use an explicit Any as a parameter # 2. If the user is trying to use an enum value imported from a module with # no type hints, giving it an implicit type of 'Any' # 3. If there's some other underlying problem with the parameter. # # We report an error in only the first two cases. In the third case, we assume # some other region of the code has already reported a more relevant error. # # TODO: Once we start adding support for enums, make sure we report a custom # error for case 2 as well. if arg.type_of_any not in (TypeOfAny.from_error, TypeOfAny.special_form): self.fail( f'Parameter {idx} of Literal[...] cannot be of type "Any"', ctx, code=codes.VALID_TYPE, ) return None elif isinstance(arg, RawExpressionType): # A raw literal. Convert it directly into a literal if we can. if arg.literal_value is None: name = arg.simple_name() if name in ("float", "complex"): msg = f'Parameter {idx} of Literal[...] cannot be of type "{name}"' else: msg = "Invalid type: Literal[...] cannot contain arbitrary expressions" self.fail(msg, ctx, code=codes.VALID_TYPE) # Note: we deliberately ignore arg.note here: the extra info might normally be # helpful, but it generally won't make sense in the context of a Literal[...]. return None # Remap bytes and unicode into the appropriate type for the correct Python version fallback = self.named_type(arg.base_type_name) assert isinstance(fallback, Instance) return [LiteralType(arg.literal_value, fallback, line=arg.line, column=arg.column)] elif isinstance(arg, (NoneType, LiteralType)): # Types that we can just add directly to the literal/potential union of literals. return [arg] elif isinstance(arg, Instance) and arg.last_known_value is not None: # Types generated from declarations like "var: Final = 4". return [arg.last_known_value] elif isinstance(arg, UnionType): out = [] for union_arg in arg.items: union_result = self.analyze_literal_param(idx, union_arg, ctx) if union_result is None: return None out.extend(union_result) return out else: self.fail(f"Parameter {idx} of Literal[...] is invalid", ctx, code=codes.VALID_TYPE) return None def analyze_type(self, typ: Type) -> Type: return typ.accept(self) def fail(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None: self.fail_func(msg, ctx, code=code) def note(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None: self.note_func(msg, ctx, code=code) @contextmanager def tvar_scope_frame(self, namespace: str) -> Iterator[None]: old_scope = self.tvar_scope self.tvar_scope = self.tvar_scope.method_frame(namespace) yield self.tvar_scope = old_scope def find_type_var_likes(self, t: Type) -> TypeVarLikeList: visitor = FindTypeVarVisitor(self.api, self.tvar_scope) t.accept(visitor) return visitor.type_var_likes def infer_type_variables( self, type: CallableType ) -> tuple[list[tuple[str, TypeVarLikeExpr]], bool]: """Infer type variables from a callable. Return tuple with these items: - list of unique type variables referred to in a callable - whether there is a reference to the Self type """ visitor = FindTypeVarVisitor(self.api, self.tvar_scope) for arg in type.arg_types: arg.accept(visitor) # When finding type variables in the return type of a function, don't # look inside Callable types. Type variables only appearing in # functions in the return type belong to those functions, not the # function we're currently analyzing. visitor.include_callables = False type.ret_type.accept(visitor) return visitor.type_var_likes, visitor.has_self_type def bind_function_type_variables( self, fun_type: CallableType, defn: Context ) -> tuple[tuple[TypeVarLikeType, ...], bool]: """Find the type variables of the function type and bind them in our tvar_scope""" has_self_type = False if fun_type.variables: defs = [] for var in fun_type.variables: if self.api.type and self.api.type.self_type and var == self.api.type.self_type: has_self_type = True continue var_node = self.lookup_qualified(var.name, defn) assert var_node, "Binding for function type variable not found within function" var_expr = var_node.node assert isinstance(var_expr, TypeVarLikeExpr) binding = self.tvar_scope.bind_new(var.name, var_expr) defs.append(binding) return tuple(defs), has_self_type typevars, has_self_type = self.infer_type_variables(fun_type) # Do not define a new type variable if already defined in scope. typevars = [ (name, tvar) for name, tvar in typevars if not self.is_defined_type_var(name, defn) ] defs = [] for name, tvar in typevars: if not self.tvar_scope.allow_binding(tvar.fullname): err_msg = message_registry.TYPE_VAR_REDECLARED_IN_NESTED_CLASS.format(name) self.fail(err_msg.value, defn, code=err_msg.code) binding = self.tvar_scope.bind_new(name, tvar) defs.append(binding) return tuple(defs), has_self_type def is_defined_type_var(self, tvar: str, context: Context) -> bool: tvar_node = self.lookup_qualified(tvar, context) if not tvar_node: return False return self.tvar_scope.get_binding(tvar_node) is not None def anal_array( self, a: Iterable[Type], nested: bool = True, *, allow_param_spec: bool = False, allow_param_spec_literals: bool = False, allow_unpack: bool = False, ) -> list[Type]: old_allow_param_spec_literals = self.allow_param_spec_literals self.allow_param_spec_literals = allow_param_spec_literals res: list[Type] = [] for t in a: res.append( self.anal_type( t, nested, allow_param_spec=allow_param_spec, allow_unpack=allow_unpack ) ) self.allow_param_spec_literals = old_allow_param_spec_literals return self.check_unpacks_in_list(res) def anal_type( self, t: Type, nested: bool = True, *, allow_param_spec: bool = False, allow_unpack: bool = False, allow_ellipsis: bool = False, allow_typed_dict_special_forms: bool = False, allow_final: bool = False, ) -> Type: if nested: self.nesting_level += 1 old_allow_typed_dict_special_forms = self.allow_typed_dict_special_forms self.allow_typed_dict_special_forms = allow_typed_dict_special_forms self.allow_final = allow_final old_allow_ellipsis = self.allow_ellipsis self.allow_ellipsis = allow_ellipsis old_allow_unpack = self.allow_unpack self.allow_unpack = allow_unpack try: analyzed = t.accept(self) finally: if nested: self.nesting_level -= 1 self.allow_typed_dict_special_forms = old_allow_typed_dict_special_forms self.allow_ellipsis = old_allow_ellipsis self.allow_unpack = old_allow_unpack if ( not allow_param_spec and isinstance(analyzed, ParamSpecType) and analyzed.flavor == ParamSpecFlavor.BARE ): if analyzed.prefix.arg_types: self.fail("Invalid location for Concatenate", t, code=codes.VALID_TYPE) self.note("You can use Concatenate as the first argument to Callable", t) analyzed = AnyType(TypeOfAny.from_error) else: self.fail( INVALID_PARAM_SPEC_LOCATION.format(format_type(analyzed, self.options)), t, code=codes.VALID_TYPE, ) self.note( INVALID_PARAM_SPEC_LOCATION_NOTE.format(analyzed.name), t, code=codes.VALID_TYPE, ) analyzed = AnyType(TypeOfAny.from_error) return analyzed def anal_var_def(self, var_def: TypeVarLikeType) -> TypeVarLikeType: if isinstance(var_def, TypeVarType): return TypeVarType( name=var_def.name, fullname=var_def.fullname, id=var_def.id, values=self.anal_array(var_def.values), upper_bound=var_def.upper_bound.accept(self), default=var_def.default.accept(self), variance=var_def.variance, line=var_def.line, column=var_def.column, ) else: return var_def def anal_var_defs(self, var_defs: Sequence[TypeVarLikeType]) -> list[TypeVarLikeType]: return [self.anal_var_def(vd) for vd in var_defs] def named_type( self, fullname: str, args: list[Type] | None = None, line: int = -1, column: int = -1 ) -> Instance: node = self.lookup_fully_qualified(fullname) assert isinstance(node.node, TypeInfo) any_type = AnyType(TypeOfAny.special_form) if args is not None: args = self.check_unpacks_in_list(args) return Instance( node.node, args or [any_type] * len(node.node.defn.type_vars), line=line, column=column ) def check_unpacks_in_list(self, items: list[Type]) -> list[Type]: new_items: list[Type] = [] num_unpacks = 0 final_unpack = None for item in items: # TODO: handle forward references here, they appear as Unpack[Any]. if isinstance(item, UnpackType) and not isinstance( get_proper_type(item.type), TupleType ): if not num_unpacks: new_items.append(item) num_unpacks += 1 final_unpack = item else: new_items.append(item) if num_unpacks > 1: assert final_unpack is not None self.fail("More than one variadic Unpack in a type is not allowed", final_unpack.type) return new_items def tuple_type(self, items: list[Type], line: int, column: int) -> TupleType: any_type = AnyType(TypeOfAny.special_form) return TupleType( items, fallback=self.named_type("builtins.tuple", [any_type]), line=line, column=column ) TypeVarLikeList = list[tuple[str, TypeVarLikeExpr]] class MsgCallback(Protocol): def __call__( self, __msg: str, __ctx: Context, *, code: ErrorCode | None = None ) -> ErrorInfo | None: ... def get_omitted_any( disallow_any: bool, fail: MsgCallback, note: MsgCallback, orig_type: Type, options: Options, fullname: str | None = None, unexpanded_type: Type | None = None, ) -> AnyType: if disallow_any: typ = unexpanded_type or orig_type type_str = typ.name if isinstance(typ, UnboundType) else format_type_bare(typ, options) fail( message_registry.BARE_GENERIC.format(quote_type_string(type_str)), typ, code=codes.TYPE_ARG, ) any_type = AnyType(TypeOfAny.from_error, line=typ.line, column=typ.column) else: any_type = AnyType( TypeOfAny.from_omitted_generics, line=orig_type.line, column=orig_type.column ) return any_type def fix_type_var_tuple_argument(t: Instance) -> None: if t.type.has_type_var_tuple_type: args = list(t.args) assert t.type.type_var_tuple_prefix is not None tvt = t.type.defn.type_vars[t.type.type_var_tuple_prefix] assert isinstance(tvt, TypeVarTupleType) args[t.type.type_var_tuple_prefix] = UnpackType( Instance(tvt.tuple_fallback.type, [args[t.type.type_var_tuple_prefix]]) ) t.args = tuple(args) def fix_instance( t: Instance, fail: MsgCallback, note: MsgCallback, disallow_any: bool, options: Options, use_generic_error: bool = False, unexpanded_type: Type | None = None, ) -> None: """Fix a malformed instance by replacing all type arguments with TypeVar default or Any. Also emit a suitable error if this is not due to implicit Any's. """ arg_count = len(t.args) min_tv_count = sum(not tv.has_default() for tv in t.type.defn.type_vars) max_tv_count = len(t.type.type_vars) if arg_count < min_tv_count or arg_count > max_tv_count: # Don't use existing args if arg_count doesn't match if arg_count > max_tv_count: # Already wrong arg count error, don't emit missing type parameters error as well. disallow_any = False t.args = () arg_count = 0 args: list[Type] = [*(t.args[:max_tv_count])] any_type: AnyType | None = None env: dict[TypeVarId, Type] = {} for tv, arg in itertools.zip_longest(t.type.defn.type_vars, t.args, fillvalue=None): if tv is None: continue if arg is None: if tv.has_default(): arg = tv.default else: if any_type is None: fullname = None if use_generic_error else t.type.fullname any_type = get_omitted_any( disallow_any, fail, note, t, options, fullname, unexpanded_type ) arg = any_type args.append(arg) env[tv.id] = arg t.args = tuple(args) fix_type_var_tuple_argument(t) if not t.type.has_type_var_tuple_type: with state.strict_optional_set(options.strict_optional): fixed = expand_type(t, env) assert isinstance(fixed, Instance) t.args = fixed.args def instantiate_type_alias( node: TypeAlias, args: list[Type], fail: MsgCallback, no_args: bool, ctx: Context, options: Options, *, unexpanded_type: Type | None = None, disallow_any: bool = False, use_standard_error: bool = False, empty_tuple_index: bool = False, ) -> Type: """Create an instance of a (generic) type alias from alias node and type arguments. We are following the rules outlined in TypeAlias docstring. Here: node: type alias node (definition) args: type arguments (types to be substituted in place of type variables when expanding the alias) fail: error reporter callback no_args: whether original definition used a bare generic `A = List` ctx: context where expansion happens unexpanded_type, disallow_any, use_standard_error: used to customize error messages """ # Type aliases are special, since they can be expanded during semantic analysis, # so we need to normalize them as soon as possible. # TODO: can this cause an infinite recursion? args = flatten_nested_tuples(args) if any(unknown_unpack(a) for a in args): # This type is not ready to be validated, because of unknown total count. # Note that we keep the kind of Any for consistency. return set_any_tvars(node, [], ctx.line, ctx.column, options, special_form=True) max_tv_count = len(node.alias_tvars) act_len = len(args) if ( max_tv_count > 0 and act_len == 0 and not (empty_tuple_index and node.tvar_tuple_index is not None) ): # Interpret bare Alias same as normal generic, i.e., Alias[Any, Any, ...] return set_any_tvars( node, args, ctx.line, ctx.column, options, disallow_any=disallow_any, fail=fail, unexpanded_type=unexpanded_type, ) if max_tv_count == 0 and act_len == 0: if no_args: assert isinstance(node.target, Instance) # type: ignore[misc] # Note: this is the only case where we use an eager expansion. See more info about # no_args aliases like L = List in the docstring for TypeAlias class. return Instance(node.target.type, [], line=ctx.line, column=ctx.column) return TypeAliasType(node, [], line=ctx.line, column=ctx.column) if ( max_tv_count == 0 and act_len > 0 and isinstance(node.target, Instance) # type: ignore[misc] and no_args ): tp = Instance(node.target.type, args) tp.line = ctx.line tp.column = ctx.column tp.end_line = ctx.end_line tp.end_column = ctx.end_column return tp if node.tvar_tuple_index is None: if any(isinstance(a, UnpackType) for a in args): # A variadic unpack in fixed size alias (fixed unpacks must be flattened by the caller) fail(message_registry.INVALID_UNPACK_POSITION, ctx, code=codes.VALID_TYPE) return set_any_tvars(node, [], ctx.line, ctx.column, options, from_error=True) min_tv_count = sum(not tv.has_default() for tv in node.alias_tvars) fill_typevars = act_len != max_tv_count correct = min_tv_count <= act_len <= max_tv_count else: min_tv_count = sum( not tv.has_default() and not isinstance(tv, TypeVarTupleType) for tv in node.alias_tvars ) correct = act_len >= min_tv_count for a in args: if isinstance(a, UnpackType): unpacked = get_proper_type(a.type) if isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple": # Variadic tuple is always correct. correct = True fill_typevars = not correct if fill_typevars: if not correct: if use_standard_error: # This is used if type alias is an internal representation of another type, # for example a generic TypedDict or NamedTuple. msg = wrong_type_arg_count(max_tv_count, max_tv_count, str(act_len), node.name) else: if node.tvar_tuple_index is not None: msg = ( "Bad number of arguments for type alias," f" expected at least {min_tv_count}, given {act_len}" ) elif min_tv_count != max_tv_count: msg = ( "Bad number of arguments for type alias," f" expected between {min_tv_count} and {max_tv_count}, given {act_len}" ) else: msg = ( "Bad number of arguments for type alias," f" expected {min_tv_count}, given {act_len}" ) fail(msg, ctx, code=codes.TYPE_ARG) args = [] return set_any_tvars(node, args, ctx.line, ctx.column, options, from_error=True) elif node.tvar_tuple_index is not None: # We also need to check if we are not performing a type variable tuple split. unpack = find_unpack_in_list(args) if unpack is not None: unpack_arg = args[unpack] assert isinstance(unpack_arg, UnpackType) if isinstance(unpack_arg.type, TypeVarTupleType): exp_prefix = node.tvar_tuple_index act_prefix = unpack exp_suffix = len(node.alias_tvars) - node.tvar_tuple_index - 1 act_suffix = len(args) - unpack - 1 if act_prefix < exp_prefix or act_suffix < exp_suffix: fail("TypeVarTuple cannot be split", ctx, code=codes.TYPE_ARG) return set_any_tvars(node, [], ctx.line, ctx.column, options, from_error=True) # TODO: we need to check args validity w.r.t alias.alias_tvars. # Otherwise invalid instantiations will be allowed in runtime context. # Note: in type context, these will be still caught by semanal_typeargs. typ = TypeAliasType(node, args, ctx.line, ctx.column) assert typ.alias is not None # HACK: Implement FlexibleAlias[T, typ] by expanding it to typ here. if ( isinstance(typ.alias.target, Instance) # type: ignore[misc] and typ.alias.target.type.fullname == "mypy_extensions.FlexibleAlias" ): exp = get_proper_type(typ) assert isinstance(exp, Instance) return exp.args[-1] return typ def set_any_tvars( node: TypeAlias, args: list[Type], newline: int, newcolumn: int, options: Options, *, from_error: bool = False, disallow_any: bool = False, special_form: bool = False, fail: MsgCallback | None = None, unexpanded_type: Type | None = None, ) -> TypeAliasType: if from_error or disallow_any: type_of_any = TypeOfAny.from_error elif special_form: type_of_any = TypeOfAny.special_form else: type_of_any = TypeOfAny.from_omitted_generics any_type = AnyType(type_of_any, line=newline, column=newcolumn) env: dict[TypeVarId, Type] = {} used_any_type = False has_type_var_tuple_type = False for tv, arg in itertools.zip_longest(node.alias_tvars, args, fillvalue=None): if tv is None: continue if arg is None: if tv.has_default(): arg = tv.default else: arg = any_type used_any_type = True if isinstance(tv, TypeVarTupleType): # TODO Handle TypeVarTuple defaults has_type_var_tuple_type = True arg = UnpackType(Instance(tv.tuple_fallback.type, [any_type])) args.append(arg) env[tv.id] = arg t = TypeAliasType(node, args, newline, newcolumn) if not has_type_var_tuple_type: with state.strict_optional_set(options.strict_optional): fixed = expand_type(t, env) assert isinstance(fixed, TypeAliasType) t.args = fixed.args if used_any_type and disallow_any and node.alias_tvars: assert fail is not None if unexpanded_type: type_str = ( unexpanded_type.name if isinstance(unexpanded_type, UnboundType) else format_type_bare(unexpanded_type, options) ) else: type_str = node.name fail( message_registry.BARE_GENERIC.format(quote_type_string(type_str)), Context(newline, newcolumn), code=codes.TYPE_ARG, ) return t class DivergingAliasDetector(TrivialSyntheticTypeTranslator): """See docstring of detect_diverging_alias() for details.""" # TODO: this doesn't really need to be a translator, but we don't have a trivial visitor. def __init__( self, seen_nodes: set[TypeAlias], lookup: Callable[[str, Context], SymbolTableNode | None], scope: TypeVarLikeScope, ) -> None: super().__init__() self.seen_nodes = seen_nodes self.lookup = lookup self.scope = scope self.diverging = False def visit_type_alias_type(self, t: TypeAliasType) -> Type: assert t.alias is not None, f"Unfixed type alias {t.type_ref}" if t.alias in self.seen_nodes: for arg in t.args: if not ( isinstance(arg, TypeVarLikeType) or isinstance(arg, UnpackType) and isinstance(arg.type, TypeVarLikeType) ) and has_type_vars(arg): self.diverging = True return t # All clear for this expansion chain. return t new_nodes = self.seen_nodes | {t.alias} visitor = DivergingAliasDetector(new_nodes, self.lookup, self.scope) _ = get_proper_type(t).accept(visitor) if visitor.diverging: self.diverging = True return t def detect_diverging_alias( node: TypeAlias, target: Type, lookup: Callable[[str, Context], SymbolTableNode | None], scope: TypeVarLikeScope, ) -> bool: """This detects type aliases that will diverge during type checking. For example F = Something[..., F[List[T]]]. At each expansion step this will produce *new* type aliases: e.g. F[List[int]], F[List[List[int]]], etc. So we can't detect recursion. It is a known problem in the literature, recursive aliases and generic types don't always go well together. It looks like there is no known systematic solution yet. # TODO: should we handle such aliases using type_recursion counter and some large limit? They may be handy in rare cases, e.g. to express a union of non-mixed nested lists: Nested = Union[T, Nested[List[T]]] ~> Union[T, List[T], List[List[T]], ...] """ visitor = DivergingAliasDetector({node}, lookup, scope) _ = target.accept(visitor) return visitor.diverging def check_for_explicit_any( typ: Type | None, options: Options, is_typeshed_stub: bool, msg: MessageBuilder, context: Context, ) -> None: if options.disallow_any_explicit and not is_typeshed_stub and typ and has_explicit_any(typ): msg.explicit_any(context) def has_explicit_any(t: Type) -> bool: """ Whether this type is or type it contains is an Any coming from explicit type annotation """ return t.accept(HasExplicitAny()) class HasExplicitAny(BoolTypeQuery): def __init__(self) -> None: super().__init__(ANY_STRATEGY) def visit_any(self, t: AnyType) -> bool: return t.type_of_any == TypeOfAny.explicit def visit_typeddict_type(self, t: TypedDictType) -> bool: # typeddict is checked during TypedDict declaration, so don't typecheck it here. return False def has_any_from_unimported_type(t: Type) -> bool: """Return true if this type is Any because an import was not followed. If type t is such Any type or has type arguments that contain such Any type this function will return true. """ return t.accept(HasAnyFromUnimportedType()) class HasAnyFromUnimportedType(BoolTypeQuery): def __init__(self) -> None: super().__init__(ANY_STRATEGY) def visit_any(self, t: AnyType) -> bool: return t.type_of_any == TypeOfAny.from_unimported_type def visit_typeddict_type(self, t: TypedDictType) -> bool: # typeddict is checked during TypedDict declaration, so don't typecheck it here return False def collect_all_inner_types(t: Type) -> list[Type]: """ Return all types that `t` contains """ return t.accept(CollectAllInnerTypesQuery()) class CollectAllInnerTypesQuery(TypeQuery[list[Type]]): def query_types(self, types: Iterable[Type]) -> list[Type]: return self.strategy([t.accept(self) for t in types]) + list(types) def strategy(self, items: Iterable[list[Type]]) -> list[Type]: return list(itertools.chain.from_iterable(items)) def make_optional_type(t: Type) -> Type: """Return the type corresponding to Optional[t]. Note that we can't use normal union simplification, since this function is called during semantic analysis and simplification only works during type checking. """ if isinstance(t, ProperType) and isinstance(t, NoneType): return t elif isinstance(t, ProperType) and isinstance(t, UnionType): # Eagerly expanding aliases is not safe during semantic analysis. items = [item for item in t.items if not isinstance(get_proper_type(item), NoneType)] return UnionType(items + [NoneType()], t.line, t.column) else: return UnionType([t, NoneType()], t.line, t.column) def validate_instance(t: Instance, fail: MsgCallback, empty_tuple_index: bool) -> bool: """Check if this is a well-formed instance with respect to argument count/positions.""" # TODO: combine logic with instantiate_type_alias(). if any(unknown_unpack(a) for a in t.args): # This type is not ready to be validated, because of unknown total count. # TODO: is it OK to fill with TypeOfAny.from_error instead of special form? return False if t.type.has_type_var_tuple_type: min_tv_count = sum( not tv.has_default() and not isinstance(tv, TypeVarTupleType) for tv in t.type.defn.type_vars ) correct = len(t.args) >= min_tv_count if any( isinstance(a, UnpackType) and isinstance(get_proper_type(a.type), Instance) for a in t.args ): correct = True if not t.args: if not (empty_tuple_index and len(t.type.type_vars) == 1): # The Any arguments should be set by the caller. if empty_tuple_index and min_tv_count: fail( f"At least {min_tv_count} type argument(s) expected, none given", t, code=codes.TYPE_ARG, ) return False elif not correct: fail( f"Bad number of arguments, expected: at least {min_tv_count}, given: {len(t.args)}", t, code=codes.TYPE_ARG, ) return False else: # We also need to check if we are not performing a type variable tuple split. unpack = find_unpack_in_list(t.args) if unpack is not None: unpack_arg = t.args[unpack] assert isinstance(unpack_arg, UnpackType) if isinstance(unpack_arg.type, TypeVarTupleType): assert t.type.type_var_tuple_prefix is not None assert t.type.type_var_tuple_suffix is not None exp_prefix = t.type.type_var_tuple_prefix act_prefix = unpack exp_suffix = t.type.type_var_tuple_suffix act_suffix = len(t.args) - unpack - 1 if act_prefix < exp_prefix or act_suffix < exp_suffix: fail("TypeVarTuple cannot be split", t, code=codes.TYPE_ARG) return False elif any(isinstance(a, UnpackType) for a in t.args): # A variadic unpack in fixed size instance (fixed unpacks must be flattened by the caller) fail(message_registry.INVALID_UNPACK_POSITION, t, code=codes.VALID_TYPE) t.args = () return False elif len(t.args) != len(t.type.type_vars): # Invalid number of type parameters. arg_count = len(t.args) min_tv_count = sum(not tv.has_default() for tv in t.type.defn.type_vars) max_tv_count = len(t.type.type_vars) if arg_count and (arg_count < min_tv_count or arg_count > max_tv_count): fail( wrong_type_arg_count(min_tv_count, max_tv_count, str(arg_count), t.type.name), t, code=codes.TYPE_ARG, ) t.invalid = True return False return True def find_self_type(typ: Type, lookup: Callable[[str], SymbolTableNode | None]) -> bool: return typ.accept(HasSelfType(lookup)) class HasSelfType(BoolTypeQuery): def __init__(self, lookup: Callable[[str], SymbolTableNode | None]) -> None: self.lookup = lookup super().__init__(ANY_STRATEGY) def visit_unbound_type(self, t: UnboundType) -> bool: sym = self.lookup(t.name) if sym and sym.fullname in SELF_TYPE_NAMES: return True return super().visit_unbound_type(t) def unknown_unpack(t: Type) -> bool: """Check if a given type is an unpack of an unknown type. Unfortunately, there is no robust way to distinguish forward references from genuine undefined names here. But this worked well so far, although it looks quite fragile. """ if isinstance(t, UnpackType): unpacked = get_proper_type(t.type) if isinstance(unpacked, AnyType) and unpacked.type_of_any == TypeOfAny.special_form: return True return False class FindTypeVarVisitor(SyntheticTypeVisitor[None]): """Type visitor that looks for type variable types and self types.""" def __init__(self, api: SemanticAnalyzerCoreInterface, scope: TypeVarLikeScope) -> None: self.api = api self.scope = scope self.type_var_likes: list[tuple[str, TypeVarLikeExpr]] = [] self.has_self_type = False self.include_callables = True def _seems_like_callable(self, type: UnboundType) -> bool: if not type.args: return False return isinstance(type.args[0], (EllipsisType, TypeList, ParamSpecType)) def visit_unbound_type(self, t: UnboundType) -> None: name = t.name node = self.api.lookup_qualified(name, t) if node and node.fullname in SELF_TYPE_NAMES: self.has_self_type = True if ( node and isinstance(node.node, TypeVarLikeExpr) and self.scope.get_binding(node) is None ): if (name, node.node) not in self.type_var_likes: self.type_var_likes.append((name, node.node)) elif not self.include_callables and self._seems_like_callable(t): if find_self_type( t, lambda name: self.api.lookup_qualified(name, t, suppress_errors=True) ): self.has_self_type = True return elif node and node.fullname in LITERAL_TYPE_NAMES: return elif node and node.fullname in ANNOTATED_TYPE_NAMES and t.args: # Don't query the second argument to Annotated for TypeVars self.process_types([t.args[0]]) elif t.args: self.process_types(t.args) def visit_type_list(self, t: TypeList) -> None: self.process_types(t.items) def visit_callable_argument(self, t: CallableArgument) -> None: t.typ.accept(self) def visit_any(self, t: AnyType) -> None: pass def visit_uninhabited_type(self, t: UninhabitedType) -> None: pass def visit_none_type(self, t: NoneType) -> None: pass def visit_erased_type(self, t: ErasedType) -> None: pass def visit_deleted_type(self, t: DeletedType) -> None: pass def visit_type_var(self, t: TypeVarType) -> None: self.process_types([t.upper_bound, t.default] + t.values) def visit_param_spec(self, t: ParamSpecType) -> None: self.process_types([t.upper_bound, t.default, t.prefix]) def visit_type_var_tuple(self, t: TypeVarTupleType) -> None: self.process_types([t.upper_bound, t.default]) def visit_unpack_type(self, t: UnpackType) -> None: self.process_types([t.type]) def visit_parameters(self, t: Parameters) -> None: self.process_types(t.arg_types) def visit_partial_type(self, t: PartialType) -> None: pass def visit_instance(self, t: Instance) -> None: self.process_types(t.args) def visit_callable_type(self, t: CallableType) -> None: # FIX generics self.process_types(t.arg_types) t.ret_type.accept(self) def visit_tuple_type(self, t: TupleType) -> None: self.process_types(t.items) def visit_typeddict_type(self, t: TypedDictType) -> None: self.process_types(list(t.items.values())) def visit_raw_expression_type(self, t: RawExpressionType) -> None: pass def visit_literal_type(self, t: LiteralType) -> None: pass def visit_union_type(self, t: UnionType) -> None: self.process_types(t.items) def visit_overloaded(self, t: Overloaded) -> None: for it in t.items: it.accept(self) def visit_type_type(self, t: TypeType) -> None: t.item.accept(self) def visit_ellipsis_type(self, t: EllipsisType) -> None: pass def visit_placeholder_type(self, t: PlaceholderType) -> None: return self.process_types(t.args) def visit_type_alias_type(self, t: TypeAliasType) -> None: self.process_types(t.args) def process_types(self, types: list[Type] | tuple[Type, ...]) -> None: # Redundant type check helps mypyc. if isinstance(types, list): for t in types: t.accept(self) else: for t in types: t.accept(self) class TypeVarDefaultTranslator(TrivialSyntheticTypeTranslator): """Type translate visitor that replaces UnboundTypes with in-scope TypeVars.""" def __init__( self, api: SemanticAnalyzerInterface, tvar_expr_name: str, context: Context ) -> None: super().__init__() self.api = api self.tvar_expr_name = tvar_expr_name self.context = context def visit_unbound_type(self, t: UnboundType) -> Type: sym = self.api.lookup_qualified(t.name, t, suppress_errors=True) if sym is not None: if type_var := self.api.tvar_scope.get_binding(sym): return type_var if isinstance(sym.node, TypeVarLikeExpr): self.api.fail( f'Type parameter "{self.tvar_expr_name}" has a default type ' "that refers to one or more type variables that are out of scope", self.context, ) return AnyType(TypeOfAny.from_error) return super().visit_unbound_type(t) def visit_type_alias_type(self, t: TypeAliasType) -> Type: # TypeAliasTypes are analyzed separately already, just return it return t ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeops.py0000644000175100017510000014111015112307767015330 0ustar00runnerrunner"""Miscellaneous type operations and helpers for use during type checking. NOTE: These must not be accessed from mypy.nodes or mypy.types to avoid import cycles. These must not be called from the semantic analysis main pass since these may assume that MROs are ready. """ from __future__ import annotations import itertools from collections.abc import Iterable, Sequence from typing import Any, Callable, TypeVar, cast from mypy.checker_state import checker_state from mypy.copytype import copy_type from mypy.expandtype import expand_type, expand_type_by_instance from mypy.maptype import map_instance_to_supertype from mypy.nodes import ( ARG_POS, ARG_STAR, ARG_STAR2, SYMBOL_FUNCBASE_TYPES, Decorator, Expression, FuncBase, FuncDef, FuncItem, OverloadedFuncDef, StrExpr, SymbolNode, TypeInfo, Var, ) from mypy.state import state from mypy.types import ( AnyType, CallableType, ExtraAttrs, FormalArgument, FunctionLike, Instance, LiteralType, NoneType, NormalizedCallableType, Overloaded, Parameters, ParamSpecType, PartialType, ProperType, TupleType, Type, TypeAliasType, TypedDictType, TypeOfAny, TypeQuery, TypeType, TypeVarLikeType, TypeVarTupleType, TypeVarType, UninhabitedType, UnionType, UnpackType, flatten_nested_unions, get_proper_type, get_proper_types, remove_dups, ) from mypy.typetraverser import TypeTraverserVisitor from mypy.typevars import fill_typevars def is_recursive_pair(s: Type, t: Type) -> bool: """Is this a pair of recursive types? There may be more cases, and we may be forced to use e.g. has_recursive_types() here, but this function is called in very hot code, so we try to keep it simple and return True only in cases we know may have problems. """ if isinstance(s, TypeAliasType) and s.is_recursive: return ( isinstance(get_proper_type(t), (Instance, UnionType)) or isinstance(t, TypeAliasType) and t.is_recursive # Tuple types are special, they can cause an infinite recursion even if # the other type is not recursive, because of the tuple fallback that is # calculated "on the fly". or isinstance(get_proper_type(s), TupleType) ) if isinstance(t, TypeAliasType) and t.is_recursive: return ( isinstance(get_proper_type(s), (Instance, UnionType)) or isinstance(s, TypeAliasType) and s.is_recursive # Same as above. or isinstance(get_proper_type(t), TupleType) ) return False def tuple_fallback(typ: TupleType) -> Instance: """Return fallback type for a tuple.""" info = typ.partial_fallback.type if info.fullname != "builtins.tuple": return typ.partial_fallback items = [] for item in typ.items: if isinstance(item, UnpackType): unpacked_type = get_proper_type(item.type) if isinstance(unpacked_type, TypeVarTupleType): unpacked_type = get_proper_type(unpacked_type.upper_bound) if ( isinstance(unpacked_type, Instance) and unpacked_type.type.fullname == "builtins.tuple" ): items.append(unpacked_type.args[0]) else: raise NotImplementedError else: items.append(item) return Instance( info, # Note: flattening recursive unions is dangerous, since it can fool recursive # types optimization in subtypes.py and go into infinite recursion. [make_simplified_union(items, handle_recursive=False)], extra_attrs=typ.partial_fallback.extra_attrs, ) def get_self_type(func: CallableType, def_info: TypeInfo) -> Type | None: default_self = fill_typevars(def_info) if isinstance(get_proper_type(func.ret_type), UninhabitedType): return func.ret_type elif func.arg_types and func.arg_types[0] != default_self and func.arg_kinds[0] == ARG_POS: return func.arg_types[0] else: return None def type_object_type(info: TypeInfo, named_type: Callable[[str], Instance]) -> ProperType: """Return the type of a type object. For a generic type G with type variables T and S the type is generally of form Callable[..., G[T, S]] where ... are argument types for the __init__/__new__ method (without the self argument). Also, the fallback type will be 'type' instead of 'function'. """ allow_cache = ( checker_state.type_checker is not None and checker_state.type_checker.allow_constructor_cache ) if info.type_object_type is not None: if allow_cache: return info.type_object_type info.type_object_type = None # We take the type from whichever of __init__ and __new__ is first # in the MRO, preferring __init__ if there is a tie. init_method = info.get("__init__") new_method = info.get("__new__") if not init_method or not is_valid_constructor(init_method.node): # Must be an invalid class definition. return AnyType(TypeOfAny.from_error) # There *should* always be a __new__ method except the test stubs # lack it, so just copy init_method in that situation new_method = new_method or init_method if not is_valid_constructor(new_method.node): # Must be an invalid class definition. return AnyType(TypeOfAny.from_error) # The two is_valid_constructor() checks ensure this. assert isinstance(new_method.node, (SYMBOL_FUNCBASE_TYPES, Decorator)) assert isinstance(init_method.node, (SYMBOL_FUNCBASE_TYPES, Decorator)) init_index = info.mro.index(init_method.node.info) new_index = info.mro.index(new_method.node.info) if info.metaclass_type is not None: fallback = info.metaclass_type elif checker_state.type_checker: # Prefer direct call when it is available. It is faster, and, # unfortunately, some callers provide bogus callback. fallback = checker_state.type_checker.named_type("builtins.type") else: fallback = named_type("builtins.type") if init_index < new_index: method: FuncBase | Decorator = init_method.node is_new = False elif init_index > new_index: method = new_method.node is_new = True else: if init_method.node.info.fullname == "builtins.object": # Both are defined by object. But if we've got a bogus # base class, we can't know for sure, so check for that. if info.fallback_to_any: # Construct a universal callable as the prototype. any_type = AnyType(TypeOfAny.special_form) sig = CallableType( arg_types=[any_type, any_type], arg_kinds=[ARG_STAR, ARG_STAR2], arg_names=["_args", "_kwds"], ret_type=any_type, is_bound=True, fallback=named_type("builtins.function"), ) result: FunctionLike = class_callable(sig, info, fallback, None, is_new=False) if allow_cache and state.strict_optional: info.type_object_type = result return result # Otherwise prefer __init__ in a tie. It isn't clear that this # is the right thing, but __new__ caused problems with # typeshed (#5647). method = init_method.node is_new = False # Construct callable type based on signature of __init__. Adjust # return type and insert type arguments. if isinstance(method, FuncBase): if isinstance(method, OverloadedFuncDef) and not method.type: # Do not cache if the type is not ready. Same logic for decorators is # achieved in early return above because is_valid_constructor() is False. allow_cache = False t = function_type(method, fallback) else: assert isinstance(method.type, ProperType) assert isinstance(method.type, FunctionLike) # is_valid_constructor() ensures this t = method.type result = type_object_type_from_function(t, info, method.info, fallback, is_new) # Only write cached result is strict_optional=True, otherwise we may get # inconsistent behaviour because of union simplification. if allow_cache and state.strict_optional: info.type_object_type = result return result def is_valid_constructor(n: SymbolNode | None) -> bool: """Does this node represents a valid constructor method? This includes normal functions, overloaded functions, and decorators that return a callable type. """ if isinstance(n, SYMBOL_FUNCBASE_TYPES): return True if isinstance(n, Decorator): return isinstance(get_proper_type(n.type), FunctionLike) return False def type_object_type_from_function( signature: FunctionLike, info: TypeInfo, def_info: TypeInfo, fallback: Instance, is_new: bool ) -> FunctionLike: # We first need to record all non-trivial (explicit) self types in __init__, # since they will not be available after we bind them. Note, we use explicit # self-types only in the defining class, similar to __new__ (but not exactly the same, # see comment in class_callable below). This is mostly useful for annotating library # classes such as subprocess.Popen. if not is_new and not info.is_newtype: orig_self_types = [get_self_type(it, def_info) for it in signature.items] else: orig_self_types = [None] * len(signature.items) # The __init__ method might come from a generic superclass 'def_info' # with type variables that do not map identically to the type variables of # the class 'info' being constructed. For example: # # class A(Generic[T]): # def __init__(self, x: T) -> None: ... # class B(A[List[T]]): # ... # # We need to map B's __init__ to the type (List[T]) -> None. signature = bind_self( signature, original_type=fill_typevars(info), is_classmethod=is_new, # Explicit instance self annotations have special handling in class_callable(), # we don't need to bind any type variables in them if they are generic. ignore_instances=True, ) signature = cast(FunctionLike, map_type_from_supertype(signature, info, def_info)) special_sig: str | None = None if def_info.fullname == "builtins.dict": # Special signature! special_sig = "dict" if isinstance(signature, CallableType): return class_callable(signature, info, fallback, special_sig, is_new, orig_self_types[0]) else: # Overloaded __init__/__new__. assert isinstance(signature, Overloaded) items: list[CallableType] = [] for item, orig_self in zip(signature.items, orig_self_types): items.append(class_callable(item, info, fallback, special_sig, is_new, orig_self)) return Overloaded(items) def class_callable( init_type: CallableType, info: TypeInfo, type_type: Instance, special_sig: str | None, is_new: bool, orig_self_type: Type | None = None, ) -> CallableType: """Create a type object type based on the signature of __init__.""" variables: list[TypeVarLikeType] = [] variables.extend(info.defn.type_vars) variables.extend(init_type.variables) from mypy.subtypes import is_subtype init_ret_type = get_proper_type(init_type.ret_type) orig_self_type = get_proper_type(orig_self_type) default_ret_type = fill_typevars(info) explicit_type = init_ret_type if is_new else orig_self_type if ( isinstance(explicit_type, (Instance, TupleType, UninhabitedType, LiteralType)) # We have to skip protocols, because it can be a subtype of a return type # by accident. Like `Hashable` is a subtype of `object`. See #11799 and isinstance(default_ret_type, Instance) and not default_ret_type.type.is_protocol # Only use the declared return type from __new__ or declared self in __init__ # if it is actually returning a subtype of what we would return otherwise. and is_subtype(explicit_type, default_ret_type, ignore_type_params=True) ): ret_type: Type = explicit_type else: ret_type = default_ret_type callable_type = init_type.copy_modified( ret_type=ret_type, fallback=type_type, name=None, variables=variables, special_sig=special_sig, ) c = callable_type.with_name(info.name) return c def map_type_from_supertype(typ: Type, sub_info: TypeInfo, super_info: TypeInfo) -> Type: """Map type variables in a type defined in a supertype context to be valid in the subtype context. Assume that the result is unique; if more than one type is possible, return one of the alternatives. For example, assume class D(Generic[S]): ... class C(D[E[T]], Generic[T]): ... Now S in the context of D would be mapped to E[T] in the context of C. """ # Create the type of self in subtype, of form t[a1, ...]. inst_type = fill_typevars(sub_info) if isinstance(inst_type, TupleType): inst_type = tuple_fallback(inst_type) # Map the type of self to supertype. This gets us a description of the # supertype type variables in terms of subtype variables, i.e. t[t1, ...] # so that any type variables in tN are to be interpreted in subtype # context. inst_type = map_instance_to_supertype(inst_type, super_info) # Finally expand the type variables in type with those in the previously # constructed type. Note that both type and inst_type may have type # variables, but in type they are interpreted in supertype context while # in inst_type they are interpreted in subtype context. This works even if # the names of type variables in supertype and subtype overlap. return expand_type_by_instance(typ, inst_type) def supported_self_type( typ: ProperType, allow_callable: bool = True, allow_instances: bool = True ) -> bool: """Is this a supported kind of explicit self-types? Currently, this means an X or Type[X], where X is an instance or a type variable with an instance upper bound. """ if isinstance(typ, TypeType): return supported_self_type(typ.item) if allow_callable and isinstance(typ, CallableType): # Special case: allow class callable instead of Type[...] as cls annotation, # as well as callable self for callback protocols. return True return isinstance(typ, TypeVarType) or ( allow_instances and isinstance(typ, Instance) and typ != fill_typevars(typ.type) ) F = TypeVar("F", bound=FunctionLike) def bind_self( method: F, original_type: Type | None = None, is_classmethod: bool = False, ignore_instances: bool = False, ) -> F: """Return a copy of `method`, with the type of its first parameter (usually self or cls) bound to original_type. If the type of `self` is a generic type (T, or Type[T] for classmethods), instantiate every occurrence of type with original_type in the rest of the signature and in the return type. original_type is the type of E in the expression E.copy(). It is None in compatibility checks. In this case we treat it as the erasure of the declared type of self. This way we can express "the type of self". For example: T = TypeVar('T', bound='A') class A: def copy(self: T) -> T: ... class B(A): pass b = B().copy() # type: B """ if isinstance(method, Overloaded): items = [ bind_self(c, original_type, is_classmethod, ignore_instances) for c in method.items ] return cast(F, Overloaded(items)) assert isinstance(method, CallableType) func: CallableType = method if not func.arg_types: # Invalid method, return something. return method if func.arg_kinds[0] in (ARG_STAR, ARG_STAR2): # The signature is of the form 'def foo(*args, ...)'. # In this case we shouldn't drop the first arg, # since func will be absorbed by the *args. # TODO: infer bounds on the type of *args? # In the case of **kwargs we should probably emit an error, but # for now we simply skip it, to avoid crashes down the line. return method self_param_type = get_proper_type(func.arg_types[0]) variables: Sequence[TypeVarLikeType] # Having a def __call__(self: Callable[...], ...) can cause infinite recursion. Although # this special-casing looks not very principled, there is nothing meaningful we can infer # from such definition, since it is inherently indefinitely recursive. allow_callable = func.name is None or not func.name.startswith("__call__ of") if func.variables and supported_self_type( self_param_type, allow_callable=allow_callable, allow_instances=not ignore_instances ): from mypy.infer import infer_type_arguments if original_type is None: # TODO: type check method override (see #7861). original_type = erase_to_bound(self_param_type) original_type = get_proper_type(original_type) # Find which of method type variables appear in the type of "self". self_ids = {tv.id for tv in get_all_type_vars(self_param_type)} self_vars = [tv for tv in func.variables if tv.id in self_ids] # Solve for these type arguments using the actual class or instance type. typeargs = infer_type_arguments( self_vars, self_param_type, original_type, is_supertype=True ) if ( is_classmethod and any(isinstance(get_proper_type(t), UninhabitedType) for t in typeargs) and isinstance(original_type, (Instance, TypeVarType, TupleType)) ): # In case we call a classmethod through an instance x, fallback to type(x). typeargs = infer_type_arguments( self_vars, self_param_type, TypeType(original_type), is_supertype=True ) # Update the method signature with the solutions found. # Technically, some constraints might be unsolvable, make them Never. to_apply = [t if t is not None else UninhabitedType() for t in typeargs] func = expand_type(func, {tv.id: arg for tv, arg in zip(self_vars, to_apply)}) variables = [v for v in func.variables if v not in self_vars] else: variables = func.variables res = func.copy_modified( arg_types=func.arg_types[1:], arg_kinds=func.arg_kinds[1:], arg_names=func.arg_names[1:], variables=variables, is_bound=True, ) return cast(F, res) def erase_to_bound(t: Type) -> Type: # TODO: use value restrictions to produce a union? t = get_proper_type(t) if isinstance(t, TypeVarType): return t.upper_bound if isinstance(t, TypeType): if isinstance(t.item, TypeVarType): return TypeType.make_normalized(t.item.upper_bound, is_type_form=t.is_type_form) return t def callable_corresponding_argument( typ: NormalizedCallableType | Parameters, model: FormalArgument ) -> FormalArgument | None: """Return the argument a function that corresponds to `model`""" by_name = typ.argument_by_name(model.name) by_pos = typ.argument_by_position(model.pos) if by_name is None and by_pos is None: return None if by_name is not None and by_pos is not None: if by_name == by_pos: return by_name # If we're dealing with an optional pos-only and an optional # name-only arg, merge them. This is the case for all functions # taking both *args and **args, or a pair of functions like so: # def right(a: int = ...) -> None: ... # def left(__a: int = ..., *, a: int = ...) -> None: ... from mypy.meet import meet_types if ( not (by_name.required or by_pos.required) and by_pos.name is None and by_name.pos is None ): return FormalArgument( by_name.name, by_pos.pos, meet_types(by_name.typ, by_pos.typ), False ) return by_name if by_name is not None else by_pos def simple_literal_type(t: ProperType | None) -> Instance | None: """Extract the underlying fallback Instance type for a simple Literal""" if isinstance(t, Instance) and t.last_known_value is not None: t = t.last_known_value if isinstance(t, LiteralType): return t.fallback return None def is_simple_literal(t: ProperType) -> bool: if isinstance(t, LiteralType): return t.fallback.type.is_enum or t.fallback.type.fullname == "builtins.str" if isinstance(t, Instance): return t.last_known_value is not None and isinstance(t.last_known_value.value, str) return False def make_simplified_union( items: Sequence[Type], line: int = -1, column: int = -1, *, keep_erased: bool = False, contract_literals: bool = True, handle_recursive: bool = True, ) -> ProperType: """Build union type with redundant union items removed. If only a single item remains, this may return a non-union type. Examples: * [int, str] -> Union[int, str] * [int, object] -> object * [int, int] -> int * [int, Any] -> Union[int, Any] (Any types are not simplified away!) * [Any, Any] -> Any * [int, Union[bytes, str]] -> Union[int, bytes, str] Note: This must NOT be used during semantic analysis, since TypeInfos may not be fully initialized. The keep_erased flag is used for type inference against union types containing type variables. If set to True, keep all ErasedType items. The contract_literals flag indicates whether we need to contract literal types back into a sum type. Set it to False when called by try_expanding_sum_type_ to_union(). """ # Step 1: expand all nested unions items = flatten_nested_unions(items, handle_recursive=handle_recursive) # Step 2: fast path for single item if len(items) == 1: return get_proper_type(items[0]) # Step 3: remove redundant unions simplified_set: Sequence[Type] = _remove_redundant_union_items(items, keep_erased) # Step 4: If more than one literal exists in the union, try to simplify if ( contract_literals and sum(isinstance(get_proper_type(item), LiteralType) for item in simplified_set) > 1 ): simplified_set = try_contracting_literals_in_union(simplified_set) result = get_proper_type(UnionType.make_union(simplified_set, line, column)) nitems = len(items) if nitems > 1 and ( nitems > 2 or not (type(items[0]) is NoneType or type(items[1]) is NoneType) ): # Step 5: At last, we erase any (inconsistent) extra attributes on instances. # Initialize with None instead of an empty set as a micro-optimization. The set # is needed very rarely, so we try to avoid constructing it. extra_attrs_set: set[ExtraAttrs] | None = None for item in items: instance = try_getting_instance_fallback(item) if instance and instance.extra_attrs: if extra_attrs_set is None: extra_attrs_set = {instance.extra_attrs} else: extra_attrs_set.add(instance.extra_attrs) if extra_attrs_set is not None and len(extra_attrs_set) > 1: fallback = try_getting_instance_fallback(result) if fallback: fallback.extra_attrs = None return result def _remove_redundant_union_items(items: list[Type], keep_erased: bool) -> list[Type]: from mypy.subtypes import is_proper_subtype # The first pass through this loop, we check if later items are subtypes of earlier items. # The second pass through this loop, we check if earlier items are subtypes of later items # (by reversing the remaining items) for _direction in range(2): new_items: list[Type] = [] # seen is a map from a type to its index in new_items seen: dict[ProperType, int] = {} unduplicated_literal_fallbacks: set[Instance] | None = None for ti in items: proper_ti = get_proper_type(ti) # UninhabitedType is always redundant if isinstance(proper_ti, UninhabitedType): continue duplicate_index = -1 # Quickly check if we've seen this type if proper_ti in seen: duplicate_index = seen[proper_ti] elif ( isinstance(proper_ti, LiteralType) and unduplicated_literal_fallbacks is not None and proper_ti.fallback in unduplicated_literal_fallbacks ): # This is an optimisation for unions with many LiteralType # We've already checked for exact duplicates. This means that any super type of # the LiteralType must be a super type of its fallback. If we've gone through # the expensive loop below and found no super type for a previous LiteralType # with the same fallback, we can skip doing that work again and just add the type # to new_items pass else: # If not, check if we've seen a supertype of this type for j, tj in enumerate(new_items): proper_tj = get_proper_type(tj) # If tj is an Instance with a last_known_value, do not remove proper_ti # (unless it's an instance with the same last_known_value) if ( isinstance(proper_tj, Instance) and proper_tj.last_known_value is not None and not ( isinstance(proper_ti, Instance) and proper_tj.last_known_value == proper_ti.last_known_value ) ): continue if is_proper_subtype( ti, tj, keep_erased_types=keep_erased, ignore_promotions=True ): duplicate_index = j break if duplicate_index != -1: # If deleted subtypes had more general truthiness, use that orig_item = new_items[duplicate_index] if not orig_item.can_be_true and ti.can_be_true: new_items[duplicate_index] = true_or_false(orig_item) elif not orig_item.can_be_false and ti.can_be_false: new_items[duplicate_index] = true_or_false(orig_item) else: # We have a non-duplicate item, add it to new_items seen[proper_ti] = len(new_items) new_items.append(ti) if isinstance(proper_ti, LiteralType): if unduplicated_literal_fallbacks is None: unduplicated_literal_fallbacks = set() unduplicated_literal_fallbacks.add(proper_ti.fallback) items = new_items if len(items) <= 1: break items.reverse() return items def _get_type_method_ret_type(t: ProperType, *, name: str) -> Type | None: # For Enum literals the ret_type can change based on the Enum # we need to check the type of the enum rather than the literal if isinstance(t, LiteralType) and t.is_enum_literal(): t = t.fallback if isinstance(t, Instance): sym = t.type.get(name) if sym: sym_type = get_proper_type(sym.type) if isinstance(sym_type, CallableType): return sym_type.ret_type return None def true_only(t: Type) -> ProperType: """ Restricted version of t with only True-ish values """ t = get_proper_type(t) if not t.can_be_true: # All values of t are False-ish, so there are no true values in it return UninhabitedType(line=t.line, column=t.column) elif not t.can_be_false: # All values of t are already True-ish, so true_only is idempotent in this case return t elif isinstance(t, UnionType): # The true version of a union type is the union of the true versions of its components new_items = [true_only(item) for item in t.items] can_be_true_items = [item for item in new_items if item.can_be_true] return make_simplified_union(can_be_true_items, line=t.line, column=t.column) else: ret_type = _get_type_method_ret_type(t, name="__bool__") or _get_type_method_ret_type( t, name="__len__" ) if ret_type and not ret_type.can_be_true: return UninhabitedType(line=t.line, column=t.column) new_t = copy_type(t) new_t.can_be_false = False return new_t def false_only(t: Type) -> ProperType: """ Restricted version of t with only False-ish values """ t = get_proper_type(t) if not t.can_be_false: if state.strict_optional: # All values of t are True-ish, so there are no false values in it return UninhabitedType(line=t.line) else: # When strict optional checking is disabled, everything can be # False-ish since anything can be None return NoneType(line=t.line) elif not t.can_be_true: # All values of t are already False-ish, so false_only is idempotent in this case return t elif isinstance(t, UnionType): # The false version of a union type is the union of the false versions of its components new_items = [false_only(item) for item in t.items] can_be_false_items = [item for item in new_items if item.can_be_false] return make_simplified_union(can_be_false_items, line=t.line, column=t.column) elif isinstance(t, Instance) and t.type.fullname in ("builtins.str", "builtins.bytes"): return LiteralType("", fallback=t) elif isinstance(t, Instance) and t.type.fullname == "builtins.int": return LiteralType(0, fallback=t) else: ret_type = _get_type_method_ret_type(t, name="__bool__") or _get_type_method_ret_type( t, name="__len__" ) if ret_type: if not ret_type.can_be_false: return UninhabitedType(line=t.line) elif isinstance(t, Instance): if (t.type.is_final or t.type.is_enum) and state.strict_optional: return UninhabitedType(line=t.line) elif isinstance(t, LiteralType) and t.is_enum_literal() and state.strict_optional: return UninhabitedType(line=t.line) new_t = copy_type(t) new_t.can_be_true = False return new_t def true_or_false(t: Type) -> ProperType: """ Unrestricted version of t with both True-ish and False-ish values """ t = get_proper_type(t) if isinstance(t, UnionType): new_items = [true_or_false(item) for item in t.items] return make_simplified_union(new_items, line=t.line, column=t.column) new_t = copy_type(t) new_t.can_be_true = new_t.can_be_true_default() new_t.can_be_false = new_t.can_be_false_default() return new_t def erase_def_to_union_or_bound(tdef: TypeVarLikeType) -> Type: # TODO(PEP612): fix for ParamSpecType if isinstance(tdef, ParamSpecType): return AnyType(TypeOfAny.from_error) if isinstance(tdef, TypeVarType) and tdef.values: return make_simplified_union(tdef.values) else: return tdef.upper_bound def erase_to_union_or_bound(typ: TypeVarType) -> ProperType: if typ.values: return make_simplified_union(typ.values) else: return get_proper_type(typ.upper_bound) def function_type(func: FuncBase, fallback: Instance) -> FunctionLike: if func.type: assert isinstance(func.type, FunctionLike) return func.type else: # Implicit type signature with dynamic types. if isinstance(func, FuncItem): return callable_type(func, fallback) else: # Either a broken overload, or decorated overload type is not ready. # TODO: make sure the caller defers if possible. assert isinstance(func, OverloadedFuncDef) any_type = AnyType(TypeOfAny.from_error) dummy = CallableType( [any_type, any_type], [ARG_STAR, ARG_STAR2], [None, None], any_type, fallback, line=func.line, is_ellipsis_args=True, ) # Return an Overloaded, because some callers may expect that # an OverloadedFuncDef has an Overloaded type. return Overloaded([dummy]) def callable_type( fdef: FuncItem, fallback: Instance, ret_type: Type | None = None ) -> CallableType: # TODO: somewhat unfortunate duplication with prepare_method_signature in semanal if fdef.info and fdef.has_self_or_cls_argument and fdef.arg_names: self_type: Type = fill_typevars(fdef.info) if fdef.is_class or fdef.name == "__new__": self_type = TypeType.make_normalized(self_type) args = [self_type] + [AnyType(TypeOfAny.unannotated)] * (len(fdef.arg_names) - 1) else: args = [AnyType(TypeOfAny.unannotated)] * len(fdef.arg_names) return CallableType( args, fdef.arg_kinds, fdef.arg_names, ret_type or AnyType(TypeOfAny.unannotated), fallback, name=fdef.name, line=fdef.line, column=fdef.column, implicit=True, # We need this for better error messages, like missing `self` note: definition=fdef if isinstance(fdef, FuncDef) else None, ) def try_getting_str_literals(expr: Expression, typ: Type) -> list[str] | None: """If the given expression or type corresponds to a string literal or a union of string literals, returns a list of the underlying strings. Otherwise, returns None. Specifically, this function is guaranteed to return a list with one or more strings if one of the following is true: 1. 'expr' is a StrExpr 2. 'typ' is a LiteralType containing a string 3. 'typ' is a UnionType containing only LiteralType of strings """ if isinstance(expr, StrExpr): return [expr.value] # TODO: See if we can eliminate this function and call the below one directly return try_getting_str_literals_from_type(typ) def try_getting_str_literals_from_type(typ: Type) -> list[str] | None: """If the given expression or type corresponds to a string Literal or a union of string Literals, returns a list of the underlying strings. Otherwise, returns None. For example, if we had the type 'Literal["foo", "bar"]' as input, this function would return a list of strings ["foo", "bar"]. """ return try_getting_literals_from_type(typ, str, "builtins.str") def try_getting_int_literals_from_type(typ: Type) -> list[int] | None: """If the given expression or type corresponds to an int Literal or a union of int Literals, returns a list of the underlying ints. Otherwise, returns None. For example, if we had the type 'Literal[1, 2, 3]' as input, this function would return a list of ints [1, 2, 3]. """ return try_getting_literals_from_type(typ, int, "builtins.int") T = TypeVar("T") def try_getting_literals_from_type( typ: Type, target_literal_type: type[T], target_fullname: str ) -> list[T] | None: """If the given expression or type corresponds to a Literal or union of Literals where the underlying values correspond to the given target type, returns a list of those underlying values. Otherwise, returns None. """ typ = get_proper_type(typ) if isinstance(typ, Instance) and typ.last_known_value is not None: possible_literals: list[Type] = [typ.last_known_value] elif isinstance(typ, UnionType): possible_literals = list(typ.items) else: possible_literals = [typ] literals: list[T] = [] for lit in get_proper_types(possible_literals): if isinstance(lit, LiteralType) and lit.fallback.type.fullname == target_fullname: val = lit.value if isinstance(val, target_literal_type): literals.append(val) else: return None else: return None return literals def is_literal_type_like(t: Type | None) -> bool: """Returns 'true' if the given type context is potentially either a LiteralType, a Union of LiteralType, or something similar. """ t = get_proper_type(t) if t is None: return False elif isinstance(t, LiteralType): return True elif isinstance(t, UnionType): return any(is_literal_type_like(item) for item in t.items) elif isinstance(t, TypeVarType): return is_literal_type_like(t.upper_bound) or any( is_literal_type_like(item) for item in t.values ) else: return False def is_singleton_type(typ: Type) -> bool: """Returns 'true' if this type is a "singleton type" -- if there exists exactly only one runtime value associated with this type. That is, given two values 'a' and 'b' that have the same type 't', 'is_singleton_type(t)' returns True if and only if the expression 'a is b' is always true. Currently, this returns True when given NoneTypes, enum LiteralTypes, enum types with a single value and ... (Ellipses). Note that other kinds of LiteralTypes cannot count as singleton types. For example, suppose we do 'a = 100000 + 1' and 'b = 100001'. It is not guaranteed that 'a is b' will always be true -- some implementations of Python will end up constructing two distinct instances of 100001. """ typ = get_proper_type(typ) return typ.is_singleton_type() def try_expanding_sum_type_to_union(typ: Type, target_fullname: str) -> Type: """Attempts to recursively expand any enum Instances with the given target_fullname into a Union of all of its component LiteralTypes. For example, if we have: class Color(Enum): RED = 1 BLUE = 2 YELLOW = 3 class Status(Enum): SUCCESS = 1 FAILURE = 2 UNKNOWN = 3 ...and if we call `try_expanding_sum_type_to_union(Union[Color, Status], 'module.Color')`, this function will return Literal[Color.RED, Color.BLUE, Color.YELLOW, Status]. """ typ = get_proper_type(typ) if isinstance(typ, UnionType): # Non-empty enums cannot subclass each other so simply removing duplicates is enough. items = [ try_expanding_sum_type_to_union(item, target_fullname) for item in remove_dups(flatten_nested_unions(typ.relevant_items())) ] return UnionType.make_union(items) if isinstance(typ, Instance) and typ.type.fullname == target_fullname: if typ.type.fullname == "builtins.bool": return UnionType([LiteralType(True, typ), LiteralType(False, typ)]) if typ.type.is_enum: items = [LiteralType(name, typ) for name in typ.type.enum_members] if not items: return typ return UnionType.make_union(items) return typ def try_contracting_literals_in_union(types: Sequence[Type]) -> list[ProperType]: """Contracts any literal types back into a sum type if possible. Requires a flattened union and does not descend into children. Will replace the first instance of the literal with the sum type and remove all others. If we call `try_contracting_union(Literal[Color.RED, Color.BLUE, Color.YELLOW])`, this function will return Color. We also treat `Literal[True, False]` as `bool`. """ proper_types = [get_proper_type(typ) for typ in types] sum_types: dict[str, tuple[set[Any], list[int]]] = {} marked_for_deletion = set() for idx, typ in enumerate(proper_types): if isinstance(typ, LiteralType): fullname = typ.fallback.type.fullname if typ.fallback.type.is_enum or isinstance(typ.value, bool): if fullname not in sum_types: sum_types[fullname] = ( ( set(typ.fallback.type.enum_members) if typ.fallback.type.is_enum else {True, False} ), [], ) literals, indexes = sum_types[fullname] literals.discard(typ.value) indexes.append(idx) if not literals: first, *rest = indexes proper_types[first] = typ.fallback marked_for_deletion |= set(rest) return list( itertools.compress( proper_types, [(i not in marked_for_deletion) for i in range(len(proper_types))] ) ) def coerce_to_literal(typ: Type) -> Type: """Recursively converts any Instances that have a last_known_value or are instances of enum types with a single value into the corresponding LiteralType. """ original_type = typ typ = get_proper_type(typ) if isinstance(typ, UnionType): new_items = [coerce_to_literal(item) for item in typ.items] return UnionType.make_union(new_items) elif isinstance(typ, Instance): if typ.last_known_value: return typ.last_known_value elif typ.type.is_enum: enum_values = typ.type.enum_members if len(enum_values) == 1: return LiteralType(value=enum_values[0], fallback=typ) return original_type def get_type_vars(tp: Type) -> list[TypeVarType]: return cast("list[TypeVarType]", tp.accept(TypeVarExtractor())) def get_all_type_vars(tp: Type) -> list[TypeVarLikeType]: # TODO: should we always use this function instead of get_type_vars() above? return tp.accept(TypeVarExtractor(include_all=True)) class TypeVarExtractor(TypeQuery[list[TypeVarLikeType]]): def __init__(self, include_all: bool = False) -> None: super().__init__() self.include_all = include_all def strategy(self, items: Iterable[list[TypeVarLikeType]]) -> list[TypeVarLikeType]: out = [] for item in items: out.extend(item) return out def visit_type_var(self, t: TypeVarType) -> list[TypeVarLikeType]: return [t] def visit_param_spec(self, t: ParamSpecType) -> list[TypeVarLikeType]: return [t] if self.include_all else [] def visit_type_var_tuple(self, t: TypeVarTupleType) -> list[TypeVarLikeType]: return [t] if self.include_all else [] def freeze_all_type_vars(member_type: Type) -> None: member_type.accept(FreezeTypeVarsVisitor()) class FreezeTypeVarsVisitor(TypeTraverserVisitor): def visit_callable_type(self, t: CallableType) -> None: for v in t.variables: v.id.meta_level = 0 super().visit_callable_type(t) def custom_special_method(typ: Type, name: str, check_all: bool = False) -> bool: """Does this type have a custom special method such as __format__() or __eq__()? If check_all is True ensure all items of a union have a custom method, not just some. """ typ = get_proper_type(typ) if isinstance(typ, Instance): method = typ.type.get(name) if method and isinstance(method.node, (SYMBOL_FUNCBASE_TYPES, Decorator, Var)): if method.node.info: return not method.node.info.fullname.startswith(("builtins.", "typing.")) return False if isinstance(typ, UnionType): if check_all: return all(custom_special_method(t, name, check_all) for t in typ.items) return any(custom_special_method(t, name) for t in typ.items) if isinstance(typ, TupleType): return custom_special_method(tuple_fallback(typ), name, check_all) if isinstance(typ, FunctionLike) and typ.is_type_obj(): # Look up __method__ on the metaclass for class objects. return custom_special_method(typ.fallback, name, check_all) if isinstance(typ, TypeType) and isinstance(typ.item, Instance): if typ.item.type.metaclass_type: # Look up __method__ on the metaclass for class objects. return custom_special_method(typ.item.type.metaclass_type, name, check_all) if isinstance(typ, AnyType): # Avoid false positives in uncertain cases. return True # TODO: support other types (see ExpressionChecker.has_member())? return False def separate_union_literals(t: UnionType) -> tuple[Sequence[LiteralType], Sequence[Type]]: """Separate literals from other members in a union type.""" literal_items = [] union_items = [] for item in t.items: proper = get_proper_type(item) if isinstance(proper, LiteralType): literal_items.append(proper) else: union_items.append(item) return literal_items, union_items def try_getting_instance_fallback(typ: Type) -> Instance | None: """Returns the Instance fallback for this type if one exists or None.""" typ = get_proper_type(typ) if isinstance(typ, Instance): return typ elif isinstance(typ, LiteralType): return typ.fallback elif isinstance(typ, NoneType): return None # Fast path for None, which is common elif isinstance(typ, FunctionLike): return typ.fallback elif isinstance(typ, TupleType): return typ.partial_fallback elif isinstance(typ, TypedDictType): return typ.fallback elif isinstance(typ, TypeVarType): return try_getting_instance_fallback(typ.upper_bound) return None def fixup_partial_type(typ: Type) -> Type: """Convert a partial type that we couldn't resolve into something concrete. This means, for None we make it Optional[Any], and for anything else we fill in all of the type arguments with Any. """ if not isinstance(typ, PartialType): return typ if typ.type is None: return UnionType.make_union([AnyType(TypeOfAny.unannotated), NoneType()]) else: return Instance(typ.type, [AnyType(TypeOfAny.unannotated)] * len(typ.type.type_vars)) def get_protocol_member( left: Instance, member: str, class_obj: bool, is_lvalue: bool = False ) -> Type | None: if member == "__call__" and class_obj: # Special case: class objects always have __call__ that is just the constructor. # TODO: this is wrong, it creates callables that are not recognized as type objects. # Long-term, we should probably get rid of this callback argument altogether. def named_type(fullname: str) -> Instance: return Instance(left.type.mro[-1], []) return type_object_type(left.type, named_type) if member == "__call__" and left.type.is_metaclass(precise=True): # Special case: we want to avoid falling back to metaclass __call__ # if constructor signature didn't match, this can cause many false negatives. return None from mypy.subtypes import find_member subtype = find_member(member, left, left, class_obj=class_obj, is_lvalue=is_lvalue) if isinstance(subtype, PartialType): subtype = ( NoneType() if subtype.type is None else Instance( subtype.type, [AnyType(TypeOfAny.unannotated)] * len(subtype.type.type_vars) ) ) return subtype def _is_disjoint_base(info: TypeInfo) -> bool: # It either has the @disjoint_base decorator or defines nonempty __slots__. if info.is_disjoint_base: return True if not info.slots: return False own_slots = { slot for slot in info.slots if not any( base_info.type.slots is not None and slot in base_info.type.slots for base_info in info.bases ) } return bool(own_slots) def _get_disjoint_base_of(instance: Instance) -> TypeInfo | None: """Returns the disjoint base of the given instance, if it exists.""" if _is_disjoint_base(instance.type): return instance.type for base in instance.type.mro: if _is_disjoint_base(base): return base return None def can_have_shared_disjoint_base(instances: list[Instance]) -> bool: """Returns whether the given instances can share a disjoint base. This means that a child class of these classes can exist at runtime. """ # Ignore None disjoint bases (which are `object`). disjoint_bases = [ base for instance in instances if (base := _get_disjoint_base_of(instance)) is not None ] if not disjoint_bases: # All are `object`. return True candidate = disjoint_bases[0] for base in disjoint_bases[1:]: if candidate.has_base(base.fullname): continue elif base.has_base(candidate.fullname): candidate = base else: return False return True ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/types.py0000644000175100017510000046665315112307767015017 0ustar00runnerrunner"""Classes for representing mypy types.""" from __future__ import annotations import sys from abc import abstractmethod from collections.abc import Iterable, Sequence from typing import TYPE_CHECKING, Any, ClassVar, Final, NewType, TypeVar, Union, cast, overload from typing_extensions import Self, TypeAlias as _TypeAlias, TypeGuard from librt.internal import ( read_int as read_int_bare, read_str as read_str_bare, write_int as write_int_bare, write_str as write_str_bare, ) import mypy.nodes from mypy.bogus_type import Bogus from mypy.cache import ( DICT_STR_GEN, END_TAG, EXTRA_ATTRS, LIST_GEN, LITERAL_NONE, ReadBuffer, Tag, WriteBuffer, read_bool, read_int, read_int_list, read_literal, read_str, read_str_list, read_str_opt, read_str_opt_list, read_tag, write_bool, write_int, write_int_list, write_literal, write_str, write_str_list, write_str_opt, write_str_opt_list, write_tag, ) from mypy.nodes import ARG_KINDS, ARG_POS, ARG_STAR, ARG_STAR2, INVARIANT, ArgKind, SymbolNode from mypy.options import Options from mypy.state import state from mypy.util import IdMapper T = TypeVar("T") JsonDict: _TypeAlias = dict[str, Any] # The set of all valid expressions that can currently be contained # inside of a Literal[...]. # # Literals can contain bytes and enum-values: we special-case both of these # and store the value as a string. We rely on the fallback type that's also # stored with the Literal to determine how a string is being used. # # TODO: confirm that we're happy with representing enums (and the # other types) in the manner described above. # # Note: if we change the set of types included below, we must also # make sure to audit the following methods: # # 1. types.LiteralType's serialize and deserialize methods: this method # needs to make sure it can convert the below types into JSON and back. # # 2. types.LiteralType's 'value_repr` method: this method is ultimately used # by TypeStrVisitor's visit_literal_type to generate a reasonable # repr-able output. # # 3. server.astdiff.SnapshotTypeVisitor's visit_literal_type_method: this # method assumes that the following types supports equality checks and # hashability. # # Note: Although "Literal[None]" is a valid type, we internally always convert # such a type directly into "None". So, "None" is not a valid parameter of # LiteralType and is omitted from this list. # # Note: Float values are only used internally. They are not accepted within # Literal[...]. LiteralValue: _TypeAlias = Union[int, str, bool, float] # If we only import type_visitor in the middle of the file, mypy # breaks, and if we do it at the top, it breaks at runtime because of # import cycle issues, so we do it at the top while typechecking and # then again in the middle at runtime. # We should be able to remove this once we are switched to the new # semantic analyzer! if TYPE_CHECKING: from mypy.type_visitor import ( SyntheticTypeVisitor as SyntheticTypeVisitor, TypeVisitor as TypeVisitor, ) TUPLE_NAMES: Final = ("builtins.tuple", "typing.Tuple") TYPE_NAMES: Final = ("builtins.type", "typing.Type") TYPE_VAR_LIKE_NAMES: Final = ( "typing.TypeVar", "typing_extensions.TypeVar", "typing.ParamSpec", "typing_extensions.ParamSpec", "typing.TypeVarTuple", "typing_extensions.TypeVarTuple", ) TYPED_NAMEDTUPLE_NAMES: Final = ("typing.NamedTuple", "typing_extensions.NamedTuple") # Supported names of TypedDict type constructors. TPDICT_NAMES: Final = ( "typing.TypedDict", "typing_extensions.TypedDict", "mypy_extensions.TypedDict", ) # Supported fallback instance type names for TypedDict types. TPDICT_FB_NAMES: Final = ( "typing._TypedDict", "typing_extensions._TypedDict", "mypy_extensions._TypedDict", ) # Supported names of Protocol base class. PROTOCOL_NAMES: Final = ("typing.Protocol", "typing_extensions.Protocol") # Supported TypeAlias names. TYPE_ALIAS_NAMES: Final = ("typing.TypeAlias", "typing_extensions.TypeAlias") # Supported Final type names. FINAL_TYPE_NAMES: Final = ("typing.Final", "typing_extensions.Final") # Supported @final decorator names. FINAL_DECORATOR_NAMES: Final = ("typing.final", "typing_extensions.final") # Supported @type_check_only names. TYPE_CHECK_ONLY_NAMES: Final = ("typing.type_check_only", "typing_extensions.type_check_only") # Supported Literal type names. LITERAL_TYPE_NAMES: Final = ("typing.Literal", "typing_extensions.Literal") # Supported Annotated type names. ANNOTATED_TYPE_NAMES: Final = ("typing.Annotated", "typing_extensions.Annotated") # Supported Concatenate type names. CONCATENATE_TYPE_NAMES: Final = ("typing.Concatenate", "typing_extensions.Concatenate") # Supported Unpack type names. UNPACK_TYPE_NAMES: Final = ("typing.Unpack", "typing_extensions.Unpack") # Supported @deprecated decorator names DEPRECATED_TYPE_NAMES: Final = ("warnings.deprecated", "typing_extensions.deprecated") # Supported @disjoint_base decorator names DISJOINT_BASE_DECORATOR_NAMES: Final = ("typing.disjoint_base", "typing_extensions.disjoint_base") # We use this constant in various places when checking `tuple` subtyping: TUPLE_LIKE_INSTANCE_NAMES: Final = ( "builtins.tuple", "typing.Iterable", "typing.Container", "typing.Sequence", "typing.Reversible", ) IMPORTED_REVEAL_TYPE_NAMES: Final = ("typing.reveal_type", "typing_extensions.reveal_type") REVEAL_TYPE_NAMES: Final = ("builtins.reveal_type", *IMPORTED_REVEAL_TYPE_NAMES) ASSERT_TYPE_NAMES: Final = ("typing.assert_type", "typing_extensions.assert_type") OVERLOAD_NAMES: Final = ("typing.overload", "typing_extensions.overload") NEVER_NAMES: Final = ( "typing.NoReturn", "typing_extensions.NoReturn", "mypy_extensions.NoReturn", "typing.Never", "typing_extensions.Never", ) # Mypyc fixed-width native int types (compatible with builtins.int) MYPYC_NATIVE_INT_NAMES: Final = ( "mypy_extensions.i64", "mypy_extensions.i32", "mypy_extensions.i16", "mypy_extensions.u8", ) DATACLASS_TRANSFORM_NAMES: Final = ( "typing.dataclass_transform", "typing_extensions.dataclass_transform", ) # Supported @override decorator names. OVERRIDE_DECORATOR_NAMES: Final = ("typing.override", "typing_extensions.override") ELLIPSIS_TYPE_NAMES: Final = ("builtins.ellipsis", "types.EllipsisType") NOT_IMPLEMENTED_TYPE_NAMES: Final = ("builtins._NotImplementedType", "types.NotImplementedType") # A placeholder used for Bogus[...] parameters _dummy: Final[Any] = object() # A placeholder for int parameters _dummy_int: Final = -999999 class TypeOfAny: """ This class describes different types of Any. Each 'Any' can be of only one type at a time. """ __slots__ = () # Was this Any type inferred without a type annotation? unannotated: Final = 1 # Does this Any come from an explicit type annotation? explicit: Final = 2 # Does this come from an unfollowed import? See --disallow-any-unimported option from_unimported_type: Final = 3 # Does this Any type come from omitted generics? from_omitted_generics: Final = 4 # Does this Any come from an error? from_error: Final = 5 # Is this a type that can't be represented in mypy's type system? For instance, type of # call to NewType(...). Even though these types aren't real Anys, we treat them as such. # Also used for variables named '_'. special_form: Final = 6 # Does this Any come from interaction with another Any? from_another_any: Final = 7 # Does this Any come from an implementation limitation/bug? implementation_artifact: Final = 8 # Does this Any come from use in the suggestion engine? This is # used to ignore Anys inserted by the suggestion engine when # generating constraints. suggestion_engine: Final = 9 def deserialize_type(data: JsonDict | str) -> Type: if isinstance(data, str): return Instance.deserialize(data) classname = data[".class"] method = deserialize_map.get(classname) if method is not None: return method(data) raise NotImplementedError(f"unexpected .class {classname}") class Type(mypy.nodes.Context): """Abstract base class for all types.""" __slots__ = ("_can_be_true", "_can_be_false") # 'can_be_true' and 'can_be_false' mean whether the value of the # expression can be true or false in a boolean context. They are useful # when inferring the type of logic expressions like `x and y`. # # For example: # * the literal `False` can't be true while `True` can. # * a value with type `bool` can be true or false. # * `None` can't be true # * ... def __init__(self, line: int = -1, column: int = -1) -> None: super().__init__(line, column) # Value of these can be -1 (use the default, lazy init), 0 (false) or 1 (true) self._can_be_true = -1 self._can_be_false = -1 @property def can_be_true(self) -> bool: if self._can_be_true == -1: # Lazy init helps mypyc self._can_be_true = self.can_be_true_default() return bool(self._can_be_true) @can_be_true.setter def can_be_true(self, v: bool) -> None: self._can_be_true = v @property def can_be_false(self) -> bool: if self._can_be_false == -1: # Lazy init helps mypyc self._can_be_false = self.can_be_false_default() return bool(self._can_be_false) @can_be_false.setter def can_be_false(self, v: bool) -> None: self._can_be_false = v def can_be_true_default(self) -> bool: return True def can_be_false_default(self) -> bool: return True def accept(self, visitor: TypeVisitor[T]) -> T: raise RuntimeError("Not implemented", type(self)) def __repr__(self) -> str: return self.accept(TypeStrVisitor(options=Options())) def str_with_options(self, options: Options) -> str: return self.accept(TypeStrVisitor(options=options)) def serialize(self) -> JsonDict | str: raise NotImplementedError(f"Cannot serialize {self.__class__.__name__} instance") @classmethod def deserialize(cls, data: JsonDict) -> Type: raise NotImplementedError(f"Cannot deserialize {cls.__name__} instance") def write(self, data: WriteBuffer) -> None: raise NotImplementedError(f"Cannot serialize {self.__class__.__name__} instance") @classmethod def read(cls, data: ReadBuffer) -> Type: raise NotImplementedError(f"Cannot deserialize {cls.__name__} instance") def is_singleton_type(self) -> bool: return False class TypeAliasType(Type): """A type alias to another type. To support recursive type aliases we don't immediately expand a type alias during semantic analysis, but create an instance of this type that records the target alias definition node (mypy.nodes.TypeAlias) and type arguments (for generic aliases). This is very similar to how TypeInfo vs Instance interact, where a recursive class-based structure like class Node: value: int children: List[Node] can be represented in a tree-like manner. """ __slots__ = ("alias", "args", "type_ref") def __init__( self, alias: mypy.nodes.TypeAlias | None, args: list[Type], line: int = -1, column: int = -1, ) -> None: super().__init__(line, column) self.alias = alias self.args = args self.type_ref: str | None = None def _expand_once(self) -> Type: """Expand to the target type exactly once. This doesn't do full expansion, i.e. the result can contain another (or even this same) type alias. Use this internal helper only when really needed, its public wrapper mypy.types.get_proper_type() is preferred. """ assert self.alias is not None if self.alias.no_args: # We know that no_args=True aliases like L = List must have an instance # as their target. assert isinstance(self.alias.target, Instance) # type: ignore[misc] return self.alias.target.copy_modified(args=self.args) # TODO: this logic duplicates the one in expand_type_by_instance(). if self.alias.tvar_tuple_index is None: mapping = {v.id: s for (v, s) in zip(self.alias.alias_tvars, self.args)} else: prefix = self.alias.tvar_tuple_index suffix = len(self.alias.alias_tvars) - self.alias.tvar_tuple_index - 1 start, middle, end = split_with_prefix_and_suffix(tuple(self.args), prefix, suffix) tvar = self.alias.alias_tvars[prefix] assert isinstance(tvar, TypeVarTupleType) mapping = {tvar.id: TupleType(list(middle), tvar.tuple_fallback)} for tvar, sub in zip( self.alias.alias_tvars[:prefix] + self.alias.alias_tvars[prefix + 1 :], start + end ): mapping[tvar.id] = sub return self.alias.target.accept(InstantiateAliasVisitor(mapping)) @property def is_recursive(self) -> bool: """Whether this type alias is recursive. Note this doesn't check generic alias arguments, but only if this alias *definition* is recursive. The property value thus can be cached on the underlying TypeAlias node. If you want to include all nested types, use has_recursive_types() function. """ assert self.alias is not None, "Unfixed type alias" is_recursive = self.alias._is_recursive if is_recursive is None: is_recursive = self.alias in self.alias.target.accept(CollectAliasesVisitor()) # We cache the value on the underlying TypeAlias node as an optimization, # since the value is the same for all instances of the same alias. self.alias._is_recursive = is_recursive return is_recursive def can_be_true_default(self) -> bool: if self.alias is not None: return self.alias.target.can_be_true return super().can_be_true_default() def can_be_false_default(self) -> bool: if self.alias is not None: return self.alias.target.can_be_false return super().can_be_false_default() def copy_modified(self, *, args: list[Type] | None = None) -> TypeAliasType: return TypeAliasType( self.alias, args if args is not None else self.args.copy(), self.line, self.column ) def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_type_alias_type(self) def __hash__(self) -> int: return hash((self.alias, tuple(self.args))) def __eq__(self, other: object) -> bool: # Note: never use this to determine subtype relationships, use is_subtype(). if not isinstance(other, TypeAliasType): return NotImplemented return self.alias == other.alias and self.args == other.args def serialize(self) -> JsonDict: assert self.alias is not None data: JsonDict = { ".class": "TypeAliasType", "type_ref": self.alias.fullname, "args": [arg.serialize() for arg in self.args], } return data @classmethod def deserialize(cls, data: JsonDict) -> TypeAliasType: assert data[".class"] == "TypeAliasType" args: list[Type] = [] if "args" in data: args_list = data["args"] assert isinstance(args_list, list) args = [deserialize_type(arg) for arg in args_list] alias = TypeAliasType(None, args) alias.type_ref = data["type_ref"] return alias def write(self, data: WriteBuffer) -> None: write_tag(data, TYPE_ALIAS_TYPE) write_type_list(data, self.args) assert self.alias is not None write_str(data, self.alias.fullname) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TypeAliasType: alias = TypeAliasType(None, read_type_list(data)) alias.type_ref = read_str(data) assert read_tag(data) == END_TAG return alias class TypeGuardedType(Type): """Only used by find_isinstance_check() etc.""" __slots__ = ("type_guard",) def __init__(self, type_guard: Type) -> None: super().__init__(line=type_guard.line, column=type_guard.column) self.type_guard = type_guard def __repr__(self) -> str: return f"TypeGuard({self.type_guard})" # This may hide some real bugs, but it is convenient for various "synthetic" # visitors, similar to RequiredType and ReadOnlyType below. def accept(self, visitor: TypeVisitor[T]) -> T: return self.type_guard.accept(visitor) class RequiredType(Type): """Required[T] or NotRequired[T]. Only usable at top-level of a TypedDict definition.""" def __init__(self, item: Type, *, required: bool) -> None: super().__init__(line=item.line, column=item.column) self.item = item self.required = required def __repr__(self) -> str: if self.required: return f"Required[{self.item}]" else: return f"NotRequired[{self.item}]" def accept(self, visitor: TypeVisitor[T]) -> T: return self.item.accept(visitor) class ReadOnlyType(Type): """ReadOnly[T] Only usable at top-level of a TypedDict definition.""" def __init__(self, item: Type) -> None: super().__init__(line=item.line, column=item.column) self.item = item def __repr__(self) -> str: return f"ReadOnly[{self.item}]" def accept(self, visitor: TypeVisitor[T]) -> T: return self.item.accept(visitor) class ProperType(Type): """Not a type alias. Every type except TypeAliasType must inherit from this type. """ __slots__ = () class TypeVarId: # A type variable is uniquely identified by its raw id and meta level. # For plain variables (type parameters of generic classes and # functions) raw ids are allocated by semantic analysis, using # positive ids 1, 2, ... for generic class parameters and negative # ids -1, ... for generic function type arguments. A special value 0 # is reserved for Self type variable (autogenerated). This convention # is only used to keep type variable ids distinct when allocating # them; the type checker makes no distinction between class and # function type variables. # Metavariables are allocated unique ids starting from 1. raw_id: Final[int] # Level of the variable in type inference. Currently either 0 for # declared types, or 1 for type inference metavariables. meta_level: int = 0 # Class variable used for allocating fresh ids for metavariables. next_raw_id: ClassVar[int] = 1 # Fullname of class or function/method which declares this type # variable (not the fullname of the TypeVar definition!), or '' namespace: str def __init__(self, raw_id: int, meta_level: int = 0, *, namespace: str = "") -> None: self.raw_id = raw_id self.meta_level = meta_level self.namespace = namespace @staticmethod def new(meta_level: int) -> TypeVarId: raw_id = TypeVarId.next_raw_id TypeVarId.next_raw_id += 1 return TypeVarId(raw_id, meta_level) def __repr__(self) -> str: return self.raw_id.__repr__() def __eq__(self, other: object) -> bool: # Although this call is not expensive (like UnionType or TypedDictType), # most of the time we get the same object here, so add a fast path. if self is other: return True return ( isinstance(other, TypeVarId) and self.raw_id == other.raw_id and self.meta_level == other.meta_level and self.namespace == other.namespace ) def __ne__(self, other: object) -> bool: return not (self == other) def __hash__(self) -> int: return self.raw_id ^ (self.meta_level << 8) ^ hash(self.namespace) def is_meta_var(self) -> bool: return self.meta_level > 0 def is_self(self) -> bool: # This is a special value indicating typing.Self variable. return self.raw_id == 0 class TypeVarLikeType(ProperType): __slots__ = ("name", "fullname", "id", "upper_bound", "default") name: str # Name (may be qualified) fullname: str # Fully qualified name id: TypeVarId upper_bound: Type default: Type def __init__( self, name: str, fullname: str, id: TypeVarId, upper_bound: Type, default: Type, line: int = -1, column: int = -1, ) -> None: super().__init__(line, column) self.name = name self.fullname = fullname self.id = id self.upper_bound = upper_bound self.default = default def serialize(self) -> JsonDict: raise NotImplementedError @classmethod def deserialize(cls, data: JsonDict) -> TypeVarLikeType: raise NotImplementedError def copy_modified(self, *, id: TypeVarId, **kwargs: Any) -> Self: raise NotImplementedError @classmethod def new_unification_variable(cls, old: Self) -> Self: new_id = TypeVarId.new(meta_level=1) return old.copy_modified(id=new_id) def has_default(self) -> bool: t = get_proper_type(self.default) return not (isinstance(t, AnyType) and t.type_of_any == TypeOfAny.from_omitted_generics) def values_or_bound(self) -> ProperType: if isinstance(self, TypeVarType) and self.values: return UnionType(self.values) return get_proper_type(self.upper_bound) class TypeVarType(TypeVarLikeType): """Type that refers to a type variable.""" __slots__ = ("values", "variance") values: list[Type] # Value restriction, empty list if no restriction variance: int def __init__( self, name: str, fullname: str, id: TypeVarId, values: list[Type], upper_bound: Type, default: Type, variance: int = INVARIANT, line: int = -1, column: int = -1, ) -> None: super().__init__(name, fullname, id, upper_bound, default, line, column) assert values is not None, "No restrictions must be represented by empty list" self.values = values self.variance = variance def copy_modified( self, *, values: Bogus[list[Type]] = _dummy, upper_bound: Bogus[Type] = _dummy, default: Bogus[Type] = _dummy, id: Bogus[TypeVarId] = _dummy, line: int = _dummy_int, column: int = _dummy_int, **kwargs: Any, ) -> TypeVarType: return TypeVarType( name=self.name, fullname=self.fullname, id=self.id if id is _dummy else id, values=self.values if values is _dummy else values, upper_bound=self.upper_bound if upper_bound is _dummy else upper_bound, default=self.default if default is _dummy else default, variance=self.variance, line=self.line if line == _dummy_int else line, column=self.column if column == _dummy_int else column, ) def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_type_var(self) def __hash__(self) -> int: return hash((self.id, self.upper_bound, tuple(self.values))) def __eq__(self, other: object) -> bool: if not isinstance(other, TypeVarType): return NotImplemented return ( self.id == other.id and self.upper_bound == other.upper_bound and self.values == other.values ) def serialize(self) -> JsonDict: assert not self.id.is_meta_var() return { ".class": "TypeVarType", "name": self.name, "fullname": self.fullname, "id": self.id.raw_id, "namespace": self.id.namespace, "values": [v.serialize() for v in self.values], "upper_bound": self.upper_bound.serialize(), "default": self.default.serialize(), "variance": self.variance, } @classmethod def deserialize(cls, data: JsonDict) -> TypeVarType: assert data[".class"] == "TypeVarType" return TypeVarType( name=data["name"], fullname=data["fullname"], id=TypeVarId(data["id"], namespace=data["namespace"]), values=[deserialize_type(v) for v in data["values"]], upper_bound=deserialize_type(data["upper_bound"]), default=deserialize_type(data["default"]), variance=data["variance"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, TYPE_VAR_TYPE) write_str(data, self.name) write_str(data, self.fullname) write_int(data, self.id.raw_id) write_str(data, self.id.namespace) write_type_list(data, self.values) self.upper_bound.write(data) self.default.write(data) write_int(data, self.variance) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TypeVarType: ret = TypeVarType( read_str(data), read_str(data), TypeVarId(read_int(data), namespace=read_str(data)), read_type_list(data), read_type(data), read_type(data), read_int(data), ) assert read_tag(data) == END_TAG return ret class ParamSpecFlavor: # Simple ParamSpec reference such as "P" BARE: Final = 0 # P.args ARGS: Final = 1 # P.kwargs KWARGS: Final = 2 class ParamSpecType(TypeVarLikeType): """Type that refers to a ParamSpec. A ParamSpec is a type variable that represents the parameter types, names and kinds of a callable (i.e., the signature without the return type). This can be one of these forms * P (ParamSpecFlavor.BARE) * P.args (ParamSpecFlavor.ARGS) * P.kwargs (ParamSpecFLavor.KWARGS) The upper_bound is really used as a fallback type -- it's shared with TypeVarType for simplicity. It can't be specified by the user and the value is directly derived from the flavor (currently always just 'object'). """ __slots__ = ("flavor", "prefix") flavor: int prefix: Parameters def __init__( self, name: str, fullname: str, id: TypeVarId, flavor: int, upper_bound: Type, default: Type, *, line: int = -1, column: int = -1, prefix: Parameters | None = None, ) -> None: super().__init__(name, fullname, id, upper_bound, default, line=line, column=column) self.flavor = flavor self.prefix = prefix or Parameters([], [], []) def with_flavor(self, flavor: int) -> ParamSpecType: return ParamSpecType( self.name, self.fullname, self.id, flavor, upper_bound=self.upper_bound, default=self.default, prefix=self.prefix, ) def copy_modified( self, *, id: Bogus[TypeVarId] = _dummy, flavor: int = _dummy_int, prefix: Bogus[Parameters] = _dummy, default: Bogus[Type] = _dummy, **kwargs: Any, ) -> ParamSpecType: return ParamSpecType( self.name, self.fullname, id if id is not _dummy else self.id, flavor if flavor != _dummy_int else self.flavor, self.upper_bound, default=default if default is not _dummy else self.default, line=self.line, column=self.column, prefix=prefix if prefix is not _dummy else self.prefix, ) def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_param_spec(self) def name_with_suffix(self) -> str: n = self.name if self.flavor == ParamSpecFlavor.ARGS: return f"{n}.args" elif self.flavor == ParamSpecFlavor.KWARGS: return f"{n}.kwargs" return n def __hash__(self) -> int: return hash((self.id, self.flavor, self.prefix)) def __eq__(self, other: object) -> bool: if not isinstance(other, ParamSpecType): return NotImplemented # Upper bound can be ignored, since it's determined by flavor. return self.id == other.id and self.flavor == other.flavor and self.prefix == other.prefix def serialize(self) -> JsonDict: assert not self.id.is_meta_var() return { ".class": "ParamSpecType", "name": self.name, "fullname": self.fullname, "id": self.id.raw_id, "namespace": self.id.namespace, "flavor": self.flavor, "upper_bound": self.upper_bound.serialize(), "default": self.default.serialize(), "prefix": self.prefix.serialize(), } @classmethod def deserialize(cls, data: JsonDict) -> ParamSpecType: assert data[".class"] == "ParamSpecType" return ParamSpecType( data["name"], data["fullname"], TypeVarId(data["id"], namespace=data["namespace"]), data["flavor"], deserialize_type(data["upper_bound"]), deserialize_type(data["default"]), prefix=Parameters.deserialize(data["prefix"]), ) def write(self, data: WriteBuffer) -> None: write_tag(data, PARAM_SPEC_TYPE) self.prefix.write(data) write_str(data, self.name) write_str(data, self.fullname) write_int(data, self.id.raw_id) write_str(data, self.id.namespace) write_int(data, self.flavor) self.upper_bound.write(data) self.default.write(data) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> ParamSpecType: assert read_tag(data) == PARAMETERS prefix = Parameters.read(data) ret = ParamSpecType( read_str(data), read_str(data), TypeVarId(read_int(data), namespace=read_str(data)), read_int(data), read_type(data), read_type(data), prefix=prefix, ) assert read_tag(data) == END_TAG return ret class TypeVarTupleType(TypeVarLikeType): """Type that refers to a TypeVarTuple. See PEP646 for more information. """ __slots__ = ("tuple_fallback", "min_len") def __init__( self, name: str, fullname: str, id: TypeVarId, upper_bound: Type, tuple_fallback: Instance, default: Type, *, line: int = -1, column: int = -1, min_len: int = 0, ) -> None: super().__init__(name, fullname, id, upper_bound, default, line=line, column=column) self.tuple_fallback = tuple_fallback # This value is not settable by a user. It is an internal-only thing to support # len()-narrowing of variadic tuples. self.min_len = min_len def serialize(self) -> JsonDict: assert not self.id.is_meta_var() return { ".class": "TypeVarTupleType", "name": self.name, "fullname": self.fullname, "id": self.id.raw_id, "namespace": self.id.namespace, "upper_bound": self.upper_bound.serialize(), "tuple_fallback": self.tuple_fallback.serialize(), "default": self.default.serialize(), "min_len": self.min_len, } @classmethod def deserialize(cls, data: JsonDict) -> TypeVarTupleType: assert data[".class"] == "TypeVarTupleType" return TypeVarTupleType( data["name"], data["fullname"], TypeVarId(data["id"], namespace=data["namespace"]), deserialize_type(data["upper_bound"]), Instance.deserialize(data["tuple_fallback"]), deserialize_type(data["default"]), min_len=data["min_len"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, TYPE_VAR_TUPLE_TYPE) self.tuple_fallback.write(data) write_str(data, self.name) write_str(data, self.fullname) write_int(data, self.id.raw_id) write_str(data, self.id.namespace) self.upper_bound.write(data) self.default.write(data) write_int(data, self.min_len) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TypeVarTupleType: assert read_tag(data) == INSTANCE fallback = Instance.read(data) ret = TypeVarTupleType( read_str(data), read_str(data), TypeVarId(read_int(data), namespace=read_str(data)), read_type(data), fallback, read_type(data), min_len=read_int(data), ) assert read_tag(data) == END_TAG return ret def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_type_var_tuple(self) def __hash__(self) -> int: return hash((self.id, self.min_len)) def __eq__(self, other: object) -> bool: if not isinstance(other, TypeVarTupleType): return NotImplemented return self.id == other.id and self.min_len == other.min_len def copy_modified( self, *, id: Bogus[TypeVarId] = _dummy, upper_bound: Bogus[Type] = _dummy, default: Bogus[Type] = _dummy, min_len: Bogus[int] = _dummy, **kwargs: Any, ) -> TypeVarTupleType: return TypeVarTupleType( self.name, self.fullname, self.id if id is _dummy else id, self.upper_bound if upper_bound is _dummy else upper_bound, self.tuple_fallback, self.default if default is _dummy else default, line=self.line, column=self.column, min_len=self.min_len if min_len is _dummy else min_len, ) class UnboundType(ProperType): """Instance type that has not been bound during semantic analysis.""" __slots__ = ( "name", "args", "optional", "empty_tuple_index", "original_str_expr", "original_str_fallback", ) def __init__( self, name: str, args: Sequence[Type] | None = None, line: int = -1, column: int = -1, optional: bool = False, empty_tuple_index: bool = False, original_str_expr: str | None = None, original_str_fallback: str | None = None, ) -> None: super().__init__(line, column) if not args: args = [] self.name = name self.args = tuple(args) # Should this type be wrapped in an Optional? self.optional = optional # Special case for X[()] self.empty_tuple_index = empty_tuple_index # If this UnboundType was originally defined as a str or bytes, keep track of # the original contents of that string-like thing. This way, if this UnboundExpr # ever shows up inside of a LiteralType, we can determine whether that # Literal[...] is valid or not. E.g. Literal[foo] is most likely invalid # (unless 'foo' is an alias for another literal or something) and # Literal["foo"] most likely is. # # We keep track of the entire string instead of just using a boolean flag # so we can distinguish between things like Literal["foo"] vs # Literal[" foo "]. # # We also keep track of what the original base fallback type was supposed to be # so we don't have to try and recompute it later self.original_str_expr = original_str_expr self.original_str_fallback = original_str_fallback def copy_modified(self, args: Bogus[Sequence[Type] | None] = _dummy) -> UnboundType: if args is _dummy: args = self.args return UnboundType( name=self.name, args=args, line=self.line, column=self.column, optional=self.optional, empty_tuple_index=self.empty_tuple_index, original_str_expr=self.original_str_expr, original_str_fallback=self.original_str_fallback, ) def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_unbound_type(self) def __hash__(self) -> int: return hash((self.name, self.optional, tuple(self.args), self.original_str_expr)) def __eq__(self, other: object) -> bool: if not isinstance(other, UnboundType): return NotImplemented return ( self.name == other.name and self.optional == other.optional and self.args == other.args and self.original_str_expr == other.original_str_expr and self.original_str_fallback == other.original_str_fallback ) def serialize(self) -> JsonDict: return { ".class": "UnboundType", "name": self.name, "args": [a.serialize() for a in self.args], "expr": self.original_str_expr, "expr_fallback": self.original_str_fallback, } @classmethod def deserialize(cls, data: JsonDict) -> UnboundType: assert data[".class"] == "UnboundType" return UnboundType( data["name"], [deserialize_type(a) for a in data["args"]], original_str_expr=data["expr"], original_str_fallback=data["expr_fallback"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, UNBOUND_TYPE) write_str(data, self.name) write_type_list(data, self.args) write_str_opt(data, self.original_str_expr) write_str_opt(data, self.original_str_fallback) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> UnboundType: ret = UnboundType( read_str(data), read_type_list(data), original_str_expr=read_str_opt(data), original_str_fallback=read_str_opt(data), ) assert read_tag(data) == END_TAG return ret class CallableArgument(ProperType): """Represents a Arg(type, 'name') inside a Callable's type list. Note that this is a synthetic type for helping parse ASTs, not a real type. """ __slots__ = ("typ", "name", "constructor") typ: Type name: str | None constructor: str | None def __init__( self, typ: Type, name: str | None, constructor: str | None, line: int = -1, column: int = -1, ) -> None: super().__init__(line, column) self.typ = typ self.name = name self.constructor = constructor def accept(self, visitor: TypeVisitor[T]) -> T: assert isinstance(visitor, SyntheticTypeVisitor) ret: T = visitor.visit_callable_argument(self) return ret def serialize(self) -> JsonDict: assert False, "Synthetic types don't serialize" class TypeList(ProperType): """Information about argument types and names [...]. This is used for the arguments of a Callable type, i.e. for [arg, ...] in Callable[[arg, ...], ret]. This is not a real type but a syntactic AST construct. UnboundTypes can also have TypeList types before they are processed into Callable types. """ __slots__ = ("items",) items: list[Type] def __init__(self, items: list[Type], line: int = -1, column: int = -1) -> None: super().__init__(line, column) self.items = items def accept(self, visitor: TypeVisitor[T]) -> T: assert isinstance(visitor, SyntheticTypeVisitor) ret: T = visitor.visit_type_list(self) return ret def serialize(self) -> JsonDict: assert False, "Synthetic types don't serialize" def __hash__(self) -> int: return hash(tuple(self.items)) def __eq__(self, other: object) -> bool: return isinstance(other, TypeList) and self.items == other.items class UnpackType(ProperType): """Type operator Unpack from PEP646. Can be either with Unpack[] or unpacking * syntax. The inner type should be either a TypeVarTuple, or a variable length tuple. In an exceptional case of callable star argument it can be a fixed length tuple. Note: the above restrictions are only guaranteed by normalizations after semantic analysis, if your code needs to handle UnpackType *during* semantic analysis, it is wild west, technically anything can be present in the wrapped type. """ __slots__ = ["type", "from_star_syntax"] def __init__( self, typ: Type, line: int = -1, column: int = -1, from_star_syntax: bool = False ) -> None: super().__init__(line, column) self.type = typ self.from_star_syntax = from_star_syntax def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_unpack_type(self) def serialize(self) -> JsonDict: return {".class": "UnpackType", "type": self.type.serialize()} def write(self, data: WriteBuffer) -> None: write_tag(data, UNPACK_TYPE) self.type.write(data) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> UnpackType: ret = UnpackType(read_type(data)) assert read_tag(data) == END_TAG return ret @classmethod def deserialize(cls, data: JsonDict) -> UnpackType: assert data[".class"] == "UnpackType" typ = data["type"] return UnpackType(deserialize_type(typ)) def __hash__(self) -> int: return hash(self.type) def __eq__(self, other: object) -> bool: return isinstance(other, UnpackType) and self.type == other.type class AnyType(ProperType): """The type 'Any'.""" __slots__ = ("type_of_any", "source_any", "missing_import_name") def __init__( self, type_of_any: int, source_any: AnyType | None = None, missing_import_name: str | None = None, line: int = -1, column: int = -1, ) -> None: super().__init__(line, column) self.type_of_any = type_of_any # If this Any was created as a result of interacting with another 'Any', record the source # and use it in reports. self.source_any = source_any if source_any and source_any.source_any: self.source_any = source_any.source_any if source_any is None: self.missing_import_name = missing_import_name else: self.missing_import_name = source_any.missing_import_name # Only unimported type anys and anys from other anys should have an import name assert missing_import_name is None or type_of_any in ( TypeOfAny.from_unimported_type, TypeOfAny.from_another_any, ) # Only Anys that come from another Any can have source_any. assert type_of_any != TypeOfAny.from_another_any or source_any is not None # We should not have chains of Anys. assert not self.source_any or self.source_any.type_of_any != TypeOfAny.from_another_any @property def is_from_error(self) -> bool: return self.type_of_any == TypeOfAny.from_error def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_any(self) def copy_modified( self, # Mark with Bogus because _dummy is just an object (with type Any) type_of_any: int = _dummy_int, original_any: Bogus[AnyType | None] = _dummy, missing_import_name: Bogus[str | None] = _dummy, ) -> AnyType: if type_of_any == _dummy_int: type_of_any = self.type_of_any if original_any is _dummy: original_any = self.source_any if missing_import_name is _dummy: missing_import_name = self.missing_import_name return AnyType( type_of_any=type_of_any, source_any=original_any, missing_import_name=missing_import_name, line=self.line, column=self.column, ) def __hash__(self) -> int: return hash(AnyType) def __eq__(self, other: object) -> bool: return isinstance(other, AnyType) def serialize(self) -> JsonDict: return { ".class": "AnyType", "type_of_any": self.type_of_any, "source_any": self.source_any.serialize() if self.source_any is not None else None, "missing_import_name": self.missing_import_name, } @classmethod def deserialize(cls, data: JsonDict) -> AnyType: assert data[".class"] == "AnyType" source = data["source_any"] return AnyType( data["type_of_any"], AnyType.deserialize(source) if source is not None else None, data["missing_import_name"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, ANY_TYPE) write_type_opt(data, self.source_any) write_int(data, self.type_of_any) write_str_opt(data, self.missing_import_name) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> AnyType: tag = read_tag(data) if tag != LITERAL_NONE: assert tag == ANY_TYPE source_any = AnyType.read(data) else: source_any = None ret = AnyType(read_int(data), source_any, read_str_opt(data)) assert read_tag(data) == END_TAG return ret class UninhabitedType(ProperType): """This type has no members. This type is the bottom type. With strict Optional checking, it is the only common subtype between all other types, which allows `meet` to be well defined. Without strict Optional checking, NoneType fills this role. In general, for any type T: join(UninhabitedType, T) = T meet(UninhabitedType, T) = UninhabitedType is_subtype(UninhabitedType, T) = True """ __slots__ = ("ambiguous",) ambiguous: bool # Is this a result of inference for a variable without constraints? def __init__(self, line: int = -1, column: int = -1) -> None: super().__init__(line, column) self.ambiguous = False def can_be_true_default(self) -> bool: return False def can_be_false_default(self) -> bool: return False def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_uninhabited_type(self) def __hash__(self) -> int: return hash((UninhabitedType, self.ambiguous)) def __eq__(self, other: object) -> bool: return isinstance(other, UninhabitedType) and other.ambiguous == self.ambiguous def serialize(self) -> JsonDict: return {".class": "UninhabitedType"} @classmethod def deserialize(cls, data: JsonDict) -> UninhabitedType: assert data[".class"] == "UninhabitedType" return UninhabitedType() def write(self, data: WriteBuffer) -> None: write_tag(data, UNINHABITED_TYPE) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> UninhabitedType: assert read_tag(data) == END_TAG return UninhabitedType() class NoneType(ProperType): """The type of 'None'. This type can be written by users as 'None'. """ __slots__ = () def __init__(self, line: int = -1, column: int = -1) -> None: super().__init__(line, column) def can_be_true_default(self) -> bool: return False def __hash__(self) -> int: return hash(NoneType) def __eq__(self, other: object) -> bool: return isinstance(other, NoneType) def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_none_type(self) def serialize(self) -> JsonDict: return {".class": "NoneType"} @classmethod def deserialize(cls, data: JsonDict) -> NoneType: assert data[".class"] == "NoneType" return NoneType() def write(self, data: WriteBuffer) -> None: write_tag(data, NONE_TYPE) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> NoneType: assert read_tag(data) == END_TAG return NoneType() def is_singleton_type(self) -> bool: return True # NoneType used to be called NoneTyp so to avoid needlessly breaking # external plugins we keep that alias here. NoneTyp = NoneType class ErasedType(ProperType): """Placeholder for an erased type. This is used during type inference. This has the special property that it is ignored during type inference. """ __slots__ = () def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_erased_type(self) class DeletedType(ProperType): """Type of deleted variables. These can be used as lvalues but not rvalues. """ __slots__ = ("source",) source: str | None # May be None; name that generated this value def __init__(self, source: str | None = None, line: int = -1, column: int = -1) -> None: super().__init__(line, column) self.source = source def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_deleted_type(self) def serialize(self) -> JsonDict: return {".class": "DeletedType", "source": self.source} @classmethod def deserialize(cls, data: JsonDict) -> DeletedType: assert data[".class"] == "DeletedType" return DeletedType(data["source"]) def write(self, data: WriteBuffer) -> None: write_tag(data, DELETED_TYPE) write_str_opt(data, self.source) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> DeletedType: ret = DeletedType(read_str_opt(data)) assert read_tag(data) == END_TAG return ret # Fake TypeInfo to be used as a placeholder during Instance de-serialization. NOT_READY: Final = mypy.nodes.FakeInfo("De-serialization failure: TypeInfo not fixed") class ExtraAttrs: """Summary of module attributes and types. This is used for instances of types.ModuleType, because they can have different attributes per instance, and for type narrowing with hasattr() checks. """ def __init__( self, attrs: dict[str, Type], immutable: set[str] | None = None, mod_name: str | None = None, ) -> None: self.attrs = attrs if immutable is None: immutable = set() self.immutable = immutable self.mod_name = mod_name def __hash__(self) -> int: return hash((tuple(self.attrs.items()), tuple(sorted(self.immutable)))) def __eq__(self, other: object) -> bool: if not isinstance(other, ExtraAttrs): return NotImplemented return self.attrs == other.attrs and self.immutable == other.immutable def copy(self) -> ExtraAttrs: return ExtraAttrs(self.attrs.copy(), self.immutable.copy(), self.mod_name) def __repr__(self) -> str: return f"ExtraAttrs({self.attrs!r}, {self.immutable!r}, {self.mod_name!r})" def serialize(self) -> JsonDict: return { ".class": "ExtraAttrs", "attrs": {k: v.serialize() for k, v in self.attrs.items()}, "immutable": sorted(self.immutable), "mod_name": self.mod_name, } @classmethod def deserialize(cls, data: JsonDict) -> ExtraAttrs: assert data[".class"] == "ExtraAttrs" return ExtraAttrs( {k: deserialize_type(v) for k, v in data["attrs"].items()}, set(data["immutable"]), data["mod_name"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, EXTRA_ATTRS) write_type_map(data, self.attrs) write_str_list(data, sorted(self.immutable)) write_str_opt(data, self.mod_name) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> ExtraAttrs: ret = ExtraAttrs(read_type_map(data), set(read_str_list(data)), read_str_opt(data)) assert read_tag(data) == END_TAG return ret class Instance(ProperType): """An instance type of form C[T1, ..., Tn]. The list of type variables may be empty. Several types have fallbacks to `Instance`, because in Python everything is an object and this concept is impossible to express without intersection types. We therefore use fallbacks for all "non-special" (like UninhabitedType, ErasedType etc) types. """ __slots__ = ("type", "args", "invalid", "type_ref", "last_known_value", "_hash", "extra_attrs") def __init__( self, typ: mypy.nodes.TypeInfo, args: Sequence[Type], line: int = -1, column: int = -1, *, last_known_value: LiteralType | None = None, extra_attrs: ExtraAttrs | None = None, ) -> None: super().__init__(line, column) self.type = typ self.args = tuple(args) self.type_ref: str | None = None # True if recovered after incorrect number of type arguments error self.invalid = False # This field keeps track of the underlying Literal[...] value associated with # this instance, if one is known. # # This field is set whenever possible within expressions, but is erased upon # variable assignment (see erasetype.remove_instance_last_known_values) unless # the variable is declared to be final. # # For example, consider the following program: # # a = 1 # b: Final[int] = 2 # c: Final = 3 # print(a + b + c + 4) # # The 'Instance' objects associated with the expressions '1', '2', '3', and '4' will # have last_known_values of type Literal[1], Literal[2], Literal[3], and Literal[4] # respectively. However, the Instance object assigned to 'a' and 'b' will have their # last_known_value erased: variable 'a' is mutable; variable 'b' was declared to be # specifically an int. # # Or more broadly, this field lets this Instance "remember" its original declaration # when applicable. We want this behavior because we want implicit Final declarations # to act pretty much identically with constants: we should be able to replace any # places where we use some Final variable with the original value and get the same # type-checking behavior. For example, we want this program: # # def expects_literal(x: Literal[3]) -> None: pass # var: Final = 3 # expects_literal(var) # # ...to type-check in the exact same way as if we had written the program like this: # # def expects_literal(x: Literal[3]) -> None: pass # expects_literal(3) # # In order to make this work (especially with literal types), we need var's type # (an Instance) to remember the "original" value. # # Preserving this value within expressions is useful for similar reasons. # # Currently most of mypy will ignore this field and will continue to treat this type like # a regular Instance. We end up using this field only when we are explicitly within a # Literal context. self.last_known_value = last_known_value # Cached hash value self._hash = -1 # Additional attributes defined per instance of this type. For example modules # have different attributes per instance of types.ModuleType. self.extra_attrs = extra_attrs def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_instance(self) def __hash__(self) -> int: if self._hash == -1: self._hash = hash((self.type, self.args, self.last_known_value, self.extra_attrs)) return self._hash def __eq__(self, other: object) -> bool: if not isinstance(other, Instance): return NotImplemented return ( self.type == other.type and self.args == other.args and self.last_known_value == other.last_known_value and self.extra_attrs == other.extra_attrs ) def serialize(self) -> JsonDict | str: assert self.type is not None type_ref = self.type.fullname if not self.args and not self.last_known_value and not self.extra_attrs: return type_ref data: JsonDict = { ".class": "Instance", "type_ref": type_ref, "args": [arg.serialize() for arg in self.args], } if self.last_known_value is not None: data["last_known_value"] = self.last_known_value.serialize() data["extra_attrs"] = self.extra_attrs.serialize() if self.extra_attrs else None return data @classmethod def deserialize(cls, data: JsonDict | str) -> Instance: if isinstance(data, str): inst = Instance(NOT_READY, []) inst.type_ref = data return inst assert data[".class"] == "Instance" args: list[Type] = [] if "args" in data: args_list = data["args"] assert isinstance(args_list, list) args = [deserialize_type(arg) for arg in args_list] inst = Instance(NOT_READY, args) inst.type_ref = data["type_ref"] # Will be fixed up by fixup.py later. if "last_known_value" in data: inst.last_known_value = LiteralType.deserialize(data["last_known_value"]) if data.get("extra_attrs") is not None: inst.extra_attrs = ExtraAttrs.deserialize(data["extra_attrs"]) return inst def write(self, data: WriteBuffer) -> None: write_tag(data, INSTANCE) if not self.args and not self.last_known_value and not self.extra_attrs: type_ref = self.type.fullname if type_ref == "builtins.str": write_tag(data, INSTANCE_STR) elif type_ref == "builtins.function": write_tag(data, INSTANCE_FUNCTION) elif type_ref == "builtins.int": write_tag(data, INSTANCE_INT) elif type_ref == "builtins.bool": write_tag(data, INSTANCE_BOOL) elif type_ref == "builtins.object": write_tag(data, INSTANCE_OBJECT) else: write_tag(data, INSTANCE_SIMPLE) write_str_bare(data, type_ref) return write_tag(data, INSTANCE_GENERIC) write_str(data, self.type.fullname) write_type_list(data, self.args) write_type_opt(data, self.last_known_value) if self.extra_attrs is None: write_tag(data, LITERAL_NONE) else: self.extra_attrs.write(data) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> Instance: tag = read_tag(data) # This is quite verbose, but this is very hot code, so we are not # using dictionary lookups here. if tag == INSTANCE_STR: if instance_cache.str_type is None: instance_cache.str_type = Instance(NOT_READY, []) instance_cache.str_type.type_ref = "builtins.str" return instance_cache.str_type if tag == INSTANCE_FUNCTION: if instance_cache.function_type is None: instance_cache.function_type = Instance(NOT_READY, []) instance_cache.function_type.type_ref = "builtins.function" return instance_cache.function_type if tag == INSTANCE_INT: if instance_cache.int_type is None: instance_cache.int_type = Instance(NOT_READY, []) instance_cache.int_type.type_ref = "builtins.int" return instance_cache.int_type if tag == INSTANCE_BOOL: if instance_cache.bool_type is None: instance_cache.bool_type = Instance(NOT_READY, []) instance_cache.bool_type.type_ref = "builtins.bool" return instance_cache.bool_type if tag == INSTANCE_OBJECT: if instance_cache.object_type is None: instance_cache.object_type = Instance(NOT_READY, []) instance_cache.object_type.type_ref = "builtins.object" return instance_cache.object_type if tag == INSTANCE_SIMPLE: inst = Instance(NOT_READY, []) inst.type_ref = read_str_bare(data) return inst assert tag == INSTANCE_GENERIC type_ref = read_str(data) inst = Instance(NOT_READY, read_type_list(data)) inst.type_ref = type_ref tag = read_tag(data) if tag != LITERAL_NONE: assert tag == LITERAL_TYPE inst.last_known_value = LiteralType.read(data) tag = read_tag(data) if tag != LITERAL_NONE: assert tag == EXTRA_ATTRS inst.extra_attrs = ExtraAttrs.read(data) assert read_tag(data) == END_TAG return inst def copy_modified( self, *, args: Bogus[list[Type]] = _dummy, last_known_value: Bogus[LiteralType | None] = _dummy, ) -> Instance: new = Instance( typ=self.type, args=args if args is not _dummy else self.args, line=self.line, column=self.column, last_known_value=( last_known_value if last_known_value is not _dummy else self.last_known_value ), extra_attrs=self.extra_attrs, ) new.can_be_true = self.can_be_true new.can_be_false = self.can_be_false return new def copy_with_extra_attr(self, name: str, typ: Type) -> Instance: if self.extra_attrs: existing_attrs = self.extra_attrs.copy() else: existing_attrs = ExtraAttrs({}, set(), None) existing_attrs.attrs[name] = typ new = self.copy_modified() new.extra_attrs = existing_attrs return new def is_singleton_type(self) -> bool: # TODO: # Also make this return True if the type corresponds to NotImplemented? return ( self.type.is_enum and len(self.type.enum_members) == 1 or self.type.fullname in ELLIPSIS_TYPE_NAMES ) class InstanceCache: def __init__(self) -> None: self.str_type: Instance | None = None self.function_type: Instance | None = None self.int_type: Instance | None = None self.bool_type: Instance | None = None self.object_type: Instance | None = None def reset(self) -> None: self.str_type = None self.function_type = None self.int_type = None self.bool_type = None self.object_type = None instance_cache: Final = InstanceCache() class FunctionLike(ProperType): """Abstract base class for function types.""" __slots__ = ("fallback",) fallback: Instance def __init__(self, line: int = -1, column: int = -1) -> None: super().__init__(line, column) self._can_be_false = False @abstractmethod def is_type_obj(self) -> bool: pass @abstractmethod def type_object(self) -> mypy.nodes.TypeInfo: pass @property @abstractmethod def items(self) -> list[CallableType]: pass @abstractmethod def with_name(self, name: str) -> FunctionLike: pass @abstractmethod def get_name(self) -> str | None: pass def bound(self) -> bool: return bool(self.items) and self.items[0].is_bound class FormalArgument: def __init__(self, name: str | None, pos: int | None, typ: Type, required: bool) -> None: self.name = name self.pos = pos self.typ = typ self.required = required def __eq__(self, other: object) -> bool: if not isinstance(other, FormalArgument): return NotImplemented return ( self.name == other.name and self.pos == other.pos and self.typ == other.typ and self.required == other.required ) def __hash__(self) -> int: return hash((self.name, self.pos, self.typ, self.required)) class Parameters(ProperType): """Type that represents the parameters to a function. Used for ParamSpec analysis. Note that by convention we handle this type as a Callable without return type, not as a "tuple with names", so that it behaves contravariantly, in particular [x: int] <: [int]. """ __slots__ = ( "arg_types", "arg_kinds", "arg_names", "min_args", "is_ellipsis_args", # TODO: variables don't really belong here, but they are used to allow hacky support # for forall . Foo[[x: T], T] by capturing generic callable with ParamSpec, see #15909 "variables", "imprecise_arg_kinds", ) def __init__( self, arg_types: Sequence[Type], arg_kinds: list[ArgKind], arg_names: Sequence[str | None], *, variables: Sequence[TypeVarLikeType] | None = None, is_ellipsis_args: bool = False, imprecise_arg_kinds: bool = False, line: int = -1, column: int = -1, ) -> None: super().__init__(line, column) self.arg_types = list(arg_types) self.arg_kinds = arg_kinds self.arg_names = list(arg_names) assert len(arg_types) == len(arg_kinds) == len(arg_names) assert not any(isinstance(t, Parameters) for t in arg_types) self.min_args = arg_kinds.count(ARG_POS) self.is_ellipsis_args = is_ellipsis_args self.variables = variables or [] self.imprecise_arg_kinds = imprecise_arg_kinds def copy_modified( self, arg_types: Bogus[Sequence[Type]] = _dummy, arg_kinds: Bogus[list[ArgKind]] = _dummy, arg_names: Bogus[Sequence[str | None]] = _dummy, *, variables: Bogus[Sequence[TypeVarLikeType]] = _dummy, is_ellipsis_args: Bogus[bool] = _dummy, imprecise_arg_kinds: Bogus[bool] = _dummy, ) -> Parameters: return Parameters( arg_types=arg_types if arg_types is not _dummy else self.arg_types, arg_kinds=arg_kinds if arg_kinds is not _dummy else self.arg_kinds, arg_names=arg_names if arg_names is not _dummy else self.arg_names, is_ellipsis_args=( is_ellipsis_args if is_ellipsis_args is not _dummy else self.is_ellipsis_args ), variables=variables if variables is not _dummy else self.variables, imprecise_arg_kinds=( imprecise_arg_kinds if imprecise_arg_kinds is not _dummy else self.imprecise_arg_kinds ), ) # TODO: here is a lot of code duplication with Callable type, fix this. def var_arg(self) -> FormalArgument | None: """The formal argument for *args.""" for position, (type, kind) in enumerate(zip(self.arg_types, self.arg_kinds)): if kind == ARG_STAR: return FormalArgument(None, position, type, False) return None def kw_arg(self) -> FormalArgument | None: """The formal argument for **kwargs.""" for position, (type, kind) in enumerate(zip(self.arg_types, self.arg_kinds)): if kind == ARG_STAR2: return FormalArgument(None, position, type, False) return None def formal_arguments(self, include_star_args: bool = False) -> list[FormalArgument]: """Yields the formal arguments corresponding to this callable, ignoring *arg and **kwargs. To handle *args and **kwargs, use the 'callable.var_args' and 'callable.kw_args' fields, if they are not None. If you really want to include star args in the yielded output, set the 'include_star_args' parameter to 'True'.""" args = [] done_with_positional = False for i in range(len(self.arg_types)): kind = self.arg_kinds[i] if kind.is_named() or kind.is_star(): done_with_positional = True if not include_star_args and kind.is_star(): continue required = kind.is_required() pos = None if done_with_positional else i arg = FormalArgument(self.arg_names[i], pos, self.arg_types[i], required) args.append(arg) return args def argument_by_name(self, name: str | None) -> FormalArgument | None: if name is None: return None seen_star = False for i, (arg_name, kind, typ) in enumerate( zip(self.arg_names, self.arg_kinds, self.arg_types) ): # No more positional arguments after these. if kind.is_named() or kind.is_star(): seen_star = True if kind.is_star(): continue if arg_name == name: position = None if seen_star else i return FormalArgument(name, position, typ, kind.is_required()) return self.try_synthesizing_arg_from_kwarg(name) def argument_by_position(self, position: int | None) -> FormalArgument | None: if position is None: return None if position >= len(self.arg_names): return self.try_synthesizing_arg_from_vararg(position) name, kind, typ = ( self.arg_names[position], self.arg_kinds[position], self.arg_types[position], ) if kind.is_positional(): return FormalArgument(name, position, typ, kind == ARG_POS) else: return self.try_synthesizing_arg_from_vararg(position) def try_synthesizing_arg_from_kwarg(self, name: str | None) -> FormalArgument | None: kw_arg = self.kw_arg() if kw_arg is not None: return FormalArgument(name, None, kw_arg.typ, False) else: return None def try_synthesizing_arg_from_vararg(self, position: int | None) -> FormalArgument | None: var_arg = self.var_arg() if var_arg is not None: return FormalArgument(None, position, var_arg.typ, False) else: return None def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_parameters(self) def serialize(self) -> JsonDict: return { ".class": "Parameters", "arg_types": [t.serialize() for t in self.arg_types], "arg_kinds": [int(x.value) for x in self.arg_kinds], "arg_names": self.arg_names, "variables": [tv.serialize() for tv in self.variables], "imprecise_arg_kinds": self.imprecise_arg_kinds, } @classmethod def deserialize(cls, data: JsonDict) -> Parameters: assert data[".class"] == "Parameters" return Parameters( [deserialize_type(t) for t in data["arg_types"]], # This is a micro-optimization until mypyc gets dedicated enum support. Otherwise, # we would spend ~20% of types deserialization time in Enum.__call__(). [ARG_KINDS[x] for x in data["arg_kinds"]], data["arg_names"], variables=[cast(TypeVarLikeType, deserialize_type(v)) for v in data["variables"]], imprecise_arg_kinds=data["imprecise_arg_kinds"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, PARAMETERS) write_type_list(data, self.arg_types) write_int_list(data, [int(x.value) for x in self.arg_kinds]) write_str_opt_list(data, self.arg_names) write_type_list(data, self.variables) write_bool(data, self.imprecise_arg_kinds) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> Parameters: ret = Parameters( read_type_list(data), # This is a micro-optimization until mypyc gets dedicated enum support. Otherwise, # we would spend ~20% of types deserialization time in Enum.__call__(). [ARG_KINDS[ak] for ak in read_int_list(data)], read_str_opt_list(data), variables=read_type_var_likes(data), imprecise_arg_kinds=read_bool(data), ) assert read_tag(data) == END_TAG return ret def __hash__(self) -> int: return hash( ( self.is_ellipsis_args, tuple(self.arg_types), tuple(self.arg_names), tuple(self.arg_kinds), ) ) def __eq__(self, other: object) -> bool: if isinstance(other, Parameters): return ( self.arg_types == other.arg_types and self.arg_names == other.arg_names and self.arg_kinds == other.arg_kinds and self.is_ellipsis_args == other.is_ellipsis_args ) else: return NotImplemented CT = TypeVar("CT", bound="CallableType") class CallableType(FunctionLike): """Type of a non-overloaded callable object (such as function).""" __slots__ = ( "arg_types", # Types of function arguments "arg_kinds", # ARG_ constants "arg_names", # Argument names; None if not a keyword argument "min_args", # Minimum number of arguments; derived from arg_kinds "ret_type", # Return value type "name", # Name (may be None; for error messages and plugins) "definition", # For error messages. May be None. "variables", # Type variables for a generic function "is_ellipsis_args", # Is this Callable[..., t] (with literal '...')? "implicit", # Was this type implicitly generated instead of explicitly # specified by the user? "special_sig", # Non-None for signatures that require special handling # (currently only values are 'dict' for a signature similar to # 'dict' and 'partial' for a `functools.partial` evaluation) "from_type_type", # Was this callable generated by analyzing Type[...] # instantiation? "is_bound", # Is this a bound method? "type_guard", # T, if -> TypeGuard[T] (ret_type is bool in this case). "type_is", # T, if -> TypeIs[T] (ret_type is bool in this case). "from_concatenate", # whether this callable is from a concatenate object # (this is used for error messages) "imprecise_arg_kinds", "unpack_kwargs", # Was an Unpack[...] with **kwargs used to define this callable? ) def __init__( self, # maybe this should be refactored to take a Parameters object arg_types: Sequence[Type], arg_kinds: list[ArgKind], arg_names: Sequence[str | None], ret_type: Type, fallback: Instance, name: str | None = None, definition: SymbolNode | None = None, variables: Sequence[TypeVarLikeType] | None = None, line: int = -1, column: int = -1, is_ellipsis_args: bool = False, implicit: bool = False, special_sig: str | None = None, from_type_type: bool = False, is_bound: bool = False, type_guard: Type | None = None, type_is: Type | None = None, from_concatenate: bool = False, imprecise_arg_kinds: bool = False, unpack_kwargs: bool = False, ) -> None: super().__init__(line, column) assert len(arg_types) == len(arg_kinds) == len(arg_names) self.arg_types = list(arg_types) for t in self.arg_types: if isinstance(t, ParamSpecType): assert not t.prefix.arg_types # TODO: should we assert that only ARG_STAR contain ParamSpecType? # See testParamSpecJoin, that relies on passing e.g `P.args` as plain argument. self.arg_kinds = arg_kinds self.arg_names = list(arg_names) self.min_args = arg_kinds.count(ARG_POS) self.ret_type = ret_type self.fallback = fallback assert not name or " CT: modified = CallableType( arg_types=arg_types if arg_types is not _dummy else self.arg_types, arg_kinds=arg_kinds if arg_kinds is not _dummy else self.arg_kinds, arg_names=arg_names if arg_names is not _dummy else self.arg_names, ret_type=ret_type if ret_type is not _dummy else self.ret_type, fallback=fallback if fallback is not _dummy else self.fallback, name=name if name is not _dummy else self.name, definition=definition if definition is not _dummy else self.definition, variables=variables if variables is not _dummy else self.variables, line=line if line != _dummy_int else self.line, column=column if column != _dummy_int else self.column, is_ellipsis_args=( is_ellipsis_args if is_ellipsis_args is not _dummy else self.is_ellipsis_args ), implicit=implicit if implicit is not _dummy else self.implicit, special_sig=special_sig if special_sig is not _dummy else self.special_sig, from_type_type=from_type_type if from_type_type is not _dummy else self.from_type_type, is_bound=is_bound if is_bound is not _dummy else self.is_bound, type_guard=type_guard if type_guard is not _dummy else self.type_guard, type_is=type_is if type_is is not _dummy else self.type_is, from_concatenate=( from_concatenate if from_concatenate is not _dummy else self.from_concatenate ), imprecise_arg_kinds=( imprecise_arg_kinds if imprecise_arg_kinds is not _dummy else self.imprecise_arg_kinds ), unpack_kwargs=unpack_kwargs if unpack_kwargs is not _dummy else self.unpack_kwargs, ) # Optimization: Only NewTypes are supported as subtypes since # the class is effectively final, so we can use a cast safely. return cast(CT, modified) def var_arg(self) -> FormalArgument | None: """The formal argument for *args.""" for position, (type, kind) in enumerate(zip(self.arg_types, self.arg_kinds)): if kind == ARG_STAR: return FormalArgument(None, position, type, False) return None def kw_arg(self) -> FormalArgument | None: """The formal argument for **kwargs.""" for position, (type, kind) in enumerate(zip(self.arg_types, self.arg_kinds)): if kind == ARG_STAR2: return FormalArgument(None, position, type, False) return None @property def is_var_arg(self) -> bool: """Does this callable have a *args argument?""" return ARG_STAR in self.arg_kinds @property def is_kw_arg(self) -> bool: """Does this callable have a **kwargs argument?""" return ARG_STAR2 in self.arg_kinds def is_type_obj(self) -> bool: return self.fallback.type.is_metaclass() and not isinstance( get_proper_type(self.ret_type), UninhabitedType ) def type_object(self) -> mypy.nodes.TypeInfo: assert self.is_type_obj() ret = get_proper_type(self.ret_type) if isinstance(ret, TypeVarType): ret = get_proper_type(ret.upper_bound) if isinstance(ret, TupleType): ret = ret.partial_fallback if isinstance(ret, TypedDictType): ret = ret.fallback if isinstance(ret, LiteralType): ret = ret.fallback assert isinstance(ret, Instance) return ret.type def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_callable_type(self) def with_name(self, name: str) -> CallableType: """Return a copy of this type with the specified name.""" return self.copy_modified(ret_type=self.ret_type, name=name) def get_name(self) -> str | None: return self.name def max_possible_positional_args(self) -> int: """Returns maximum number of positional arguments this method could possibly accept. This takes into account *arg and **kwargs but excludes keyword-only args.""" if self.is_var_arg or self.is_kw_arg: return sys.maxsize return sum(kind.is_positional() for kind in self.arg_kinds) def formal_arguments(self, include_star_args: bool = False) -> list[FormalArgument]: """Return a list of the formal arguments of this callable, ignoring *arg and **kwargs. To handle *args and **kwargs, use the 'callable.var_args' and 'callable.kw_args' fields, if they are not None. If you really want to include star args in the yielded output, set the 'include_star_args' parameter to 'True'.""" args = [] done_with_positional = False for i in range(len(self.arg_types)): kind = self.arg_kinds[i] if kind.is_named() or kind.is_star(): done_with_positional = True if not include_star_args and kind.is_star(): continue required = kind.is_required() pos = None if done_with_positional else i arg = FormalArgument(self.arg_names[i], pos, self.arg_types[i], required) args.append(arg) return args def argument_by_name(self, name: str | None) -> FormalArgument | None: if name is None: return None seen_star = False for i, (arg_name, kind, typ) in enumerate( zip(self.arg_names, self.arg_kinds, self.arg_types) ): # No more positional arguments after these. if kind.is_named() or kind.is_star(): seen_star = True if kind.is_star(): continue if arg_name == name: position = None if seen_star else i return FormalArgument(name, position, typ, kind.is_required()) return self.try_synthesizing_arg_from_kwarg(name) def argument_by_position(self, position: int | None) -> FormalArgument | None: if position is None: return None if position >= len(self.arg_names): return self.try_synthesizing_arg_from_vararg(position) name, kind, typ = ( self.arg_names[position], self.arg_kinds[position], self.arg_types[position], ) if kind.is_positional(): return FormalArgument(name, position, typ, kind == ARG_POS) else: return self.try_synthesizing_arg_from_vararg(position) def try_synthesizing_arg_from_kwarg(self, name: str | None) -> FormalArgument | None: kw_arg = self.kw_arg() if kw_arg is not None: return FormalArgument(name, None, kw_arg.typ, False) else: return None def try_synthesizing_arg_from_vararg(self, position: int | None) -> FormalArgument | None: var_arg = self.var_arg() if var_arg is not None: return FormalArgument(None, position, var_arg.typ, False) else: return None @property def items(self) -> list[CallableType]: return [self] def is_generic(self) -> bool: return bool(self.variables) def type_var_ids(self) -> list[TypeVarId]: a: list[TypeVarId] = [] for tv in self.variables: a.append(tv.id) return a def param_spec(self) -> ParamSpecType | None: """Return ParamSpec if callable can be called with one. A Callable accepting ParamSpec P args (*args, **kwargs) must have the two final parameters like this: *args: P.args, **kwargs: P.kwargs. """ if len(self.arg_types) < 2: return None if self.arg_kinds[-2] != ARG_STAR or self.arg_kinds[-1] != ARG_STAR2: return None arg_type = self.arg_types[-2] if not isinstance(arg_type, ParamSpecType): return None # Prepend prefix for def f(prefix..., *args: P.args, **kwargs: P.kwargs) -> ... # TODO: confirm that all arg kinds are positional prefix = Parameters(self.arg_types[:-2], self.arg_kinds[:-2], self.arg_names[:-2]) return arg_type.copy_modified(flavor=ParamSpecFlavor.BARE, prefix=prefix) def normalize_trivial_unpack(self) -> None: # Normalize trivial unpack in var args as *args: *tuple[X, ...] -> *args: X in place. if self.is_var_arg: star_index = self.arg_kinds.index(ARG_STAR) star_type = self.arg_types[star_index] if isinstance(star_type, UnpackType): p_type = get_proper_type(star_type.type) if isinstance(p_type, Instance): assert p_type.type.fullname == "builtins.tuple" self.arg_types[star_index] = p_type.args[0] def with_unpacked_kwargs(self) -> NormalizedCallableType: if not self.unpack_kwargs: return cast(NormalizedCallableType, self) last_type = get_proper_type(self.arg_types[-1]) assert isinstance(last_type, TypedDictType) extra_kinds = [ ArgKind.ARG_NAMED if name in last_type.required_keys else ArgKind.ARG_NAMED_OPT for name in last_type.items ] new_arg_kinds = self.arg_kinds[:-1] + extra_kinds new_arg_names = self.arg_names[:-1] + list(last_type.items) new_arg_types = self.arg_types[:-1] + list(last_type.items.values()) return NormalizedCallableType( self.copy_modified( arg_kinds=new_arg_kinds, arg_names=new_arg_names, arg_types=new_arg_types, unpack_kwargs=False, ) ) def with_normalized_var_args(self) -> Self: var_arg = self.var_arg() if not var_arg or not isinstance(var_arg.typ, UnpackType): return self unpacked = get_proper_type(var_arg.typ.type) if not isinstance(unpacked, TupleType): # Note that we don't normalize *args: *tuple[X, ...] -> *args: X, # this should be done once in semanal_typeargs.py for user-defined types, # and we ourselves rarely construct such type. return self unpack_index = find_unpack_in_list(unpacked.items) if unpack_index == 0 and len(unpacked.items) > 1: # Already normalized. return self # Boilerplate: var_arg_index = self.arg_kinds.index(ARG_STAR) types_prefix = self.arg_types[:var_arg_index] kinds_prefix = self.arg_kinds[:var_arg_index] names_prefix = self.arg_names[:var_arg_index] types_suffix = self.arg_types[var_arg_index + 1 :] kinds_suffix = self.arg_kinds[var_arg_index + 1 :] names_suffix = self.arg_names[var_arg_index + 1 :] no_name: str | None = None # to silence mypy # Now we have something non-trivial to do. if unpack_index is None: # Plain *Tuple[X, Y, Z] -> replace with ARG_POS completely types_middle = unpacked.items kinds_middle = [ARG_POS] * len(unpacked.items) names_middle = [no_name] * len(unpacked.items) else: # *Tuple[X, *Ts, Y, Z] or *Tuple[X, *tuple[T, ...], X, Z], here # we replace the prefix by ARG_POS (this is how some places expect # Callables to be represented) nested_unpack = unpacked.items[unpack_index] assert isinstance(nested_unpack, UnpackType) nested_unpacked = get_proper_type(nested_unpack.type) if unpack_index == len(unpacked.items) - 1: # Normalize also single item tuples like # *args: *Tuple[*tuple[X, ...]] -> *args: X # *args: *Tuple[*Ts] -> *args: *Ts # This may be not strictly necessary, but these are very verbose. if isinstance(nested_unpacked, Instance): assert nested_unpacked.type.fullname == "builtins.tuple" new_unpack = nested_unpacked.args[0] else: if not isinstance(nested_unpacked, TypeVarTupleType): # We found a non-normalized tuple type, this means this method # is called during semantic analysis (e.g. from get_proper_type()) # there is no point in normalizing callables at this stage. return self new_unpack = nested_unpack else: new_unpack = UnpackType( unpacked.copy_modified(items=unpacked.items[unpack_index:]) ) types_middle = unpacked.items[:unpack_index] + [new_unpack] kinds_middle = [ARG_POS] * unpack_index + [ARG_STAR] names_middle = [no_name] * unpack_index + [self.arg_names[var_arg_index]] return self.copy_modified( arg_types=types_prefix + types_middle + types_suffix, arg_kinds=kinds_prefix + kinds_middle + kinds_suffix, arg_names=names_prefix + names_middle + names_suffix, ) def __hash__(self) -> int: return hash( ( self.ret_type, self.is_ellipsis_args, self.name, tuple(self.arg_types), tuple(self.arg_names), tuple(self.arg_kinds), self.fallback, ) ) def __eq__(self, other: object) -> bool: if isinstance(other, CallableType): return ( self.ret_type == other.ret_type and self.arg_types == other.arg_types and self.arg_names == other.arg_names and self.arg_kinds == other.arg_kinds and self.name == other.name and self.is_ellipsis_args == other.is_ellipsis_args and self.type_guard == other.type_guard and self.type_is == other.type_is and self.fallback == other.fallback ) else: return NotImplemented def serialize(self) -> JsonDict: # TODO: As an optimization, leave out everything related to # generic functions for non-generic functions. return { ".class": "CallableType", "arg_types": [t.serialize() for t in self.arg_types], "arg_kinds": [int(x.value) for x in self.arg_kinds], "arg_names": self.arg_names, "ret_type": self.ret_type.serialize(), "fallback": self.fallback.serialize(), "name": self.name, # We don't serialize the definition (only used for error messages). "variables": [v.serialize() for v in self.variables], "is_ellipsis_args": self.is_ellipsis_args, "implicit": self.implicit, "is_bound": self.is_bound, "type_guard": self.type_guard.serialize() if self.type_guard is not None else None, "type_is": (self.type_is.serialize() if self.type_is is not None else None), "from_concatenate": self.from_concatenate, "imprecise_arg_kinds": self.imprecise_arg_kinds, "unpack_kwargs": self.unpack_kwargs, } @classmethod def deserialize(cls, data: JsonDict) -> CallableType: assert data[".class"] == "CallableType" # The .definition link is set in fixup.py. return CallableType( [deserialize_type(t) for t in data["arg_types"]], [ARG_KINDS[x] for x in data["arg_kinds"]], data["arg_names"], deserialize_type(data["ret_type"]), Instance.deserialize(data["fallback"]), name=data["name"], variables=[cast(TypeVarLikeType, deserialize_type(v)) for v in data["variables"]], is_ellipsis_args=data["is_ellipsis_args"], implicit=data["implicit"], is_bound=data["is_bound"], type_guard=( deserialize_type(data["type_guard"]) if data["type_guard"] is not None else None ), type_is=(deserialize_type(data["type_is"]) if data["type_is"] is not None else None), from_concatenate=data["from_concatenate"], imprecise_arg_kinds=data["imprecise_arg_kinds"], unpack_kwargs=data["unpack_kwargs"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, CALLABLE_TYPE) self.fallback.write(data) write_type_list(data, self.arg_types) write_int_list(data, [int(x.value) for x in self.arg_kinds]) write_str_opt_list(data, self.arg_names) self.ret_type.write(data) write_str_opt(data, self.name) write_type_list(data, self.variables) write_bool(data, self.is_ellipsis_args) write_bool(data, self.implicit) write_bool(data, self.is_bound) write_type_opt(data, self.type_guard) write_type_opt(data, self.type_is) write_bool(data, self.from_concatenate) write_bool(data, self.imprecise_arg_kinds) write_bool(data, self.unpack_kwargs) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> CallableType: assert read_tag(data) == INSTANCE fallback = Instance.read(data) ret = CallableType( read_type_list(data), [ARG_KINDS[ak] for ak in read_int_list(data)], read_str_opt_list(data), read_type(data), fallback, name=read_str_opt(data), variables=read_type_var_likes(data), is_ellipsis_args=read_bool(data), implicit=read_bool(data), is_bound=read_bool(data), type_guard=read_type_opt(data), type_is=read_type_opt(data), from_concatenate=read_bool(data), imprecise_arg_kinds=read_bool(data), unpack_kwargs=read_bool(data), ) assert read_tag(data) == END_TAG return ret # This is a little safety net to prevent reckless special-casing of callables # that can potentially break Unpack[...] with **kwargs. # TODO: use this in more places in checkexpr.py etc? NormalizedCallableType = NewType("NormalizedCallableType", CallableType) class Overloaded(FunctionLike): """Overloaded function type T1, ... Tn, where each Ti is CallableType. The variant to call is chosen based on static argument types. Overloaded function types can only be defined in stub files, and thus there is no explicit runtime dispatch implementation. """ __slots__ = ("_items",) _items: list[CallableType] # Must not be empty def __init__(self, items: list[CallableType]) -> None: super().__init__(items[0].line, items[0].column) self._items = items self.fallback = items[0].fallback @property def items(self) -> list[CallableType]: return self._items def name(self) -> str | None: return self.get_name() def is_type_obj(self) -> bool: # All the items must have the same type object status, so it's # sufficient to query only (any) one of them. return self._items[0].is_type_obj() def type_object(self) -> mypy.nodes.TypeInfo: # All the items must have the same type object, so it's sufficient to # query only (any) one of them. return self._items[0].type_object() def with_name(self, name: str) -> Overloaded: ni: list[CallableType] = [] for it in self._items: ni.append(it.with_name(name)) return Overloaded(ni) def get_name(self) -> str | None: return self._items[0].name def with_unpacked_kwargs(self) -> Overloaded: if any(i.unpack_kwargs for i in self.items): return Overloaded([i.with_unpacked_kwargs() for i in self.items]) return self def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_overloaded(self) def __hash__(self) -> int: return hash(tuple(self.items)) def __eq__(self, other: object) -> bool: if not isinstance(other, Overloaded): return NotImplemented return self.items == other.items def serialize(self) -> JsonDict: return {".class": "Overloaded", "items": [t.serialize() for t in self.items]} @classmethod def deserialize(cls, data: JsonDict) -> Overloaded: assert data[".class"] == "Overloaded" return Overloaded([CallableType.deserialize(t) for t in data["items"]]) def write(self, data: WriteBuffer) -> None: write_tag(data, OVERLOADED) write_type_list(data, self.items) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> Overloaded: items = [] assert read_tag(data) == LIST_GEN for _ in range(read_int_bare(data)): assert read_tag(data) == CALLABLE_TYPE items.append(CallableType.read(data)) assert read_tag(data) == END_TAG return Overloaded(items) class TupleType(ProperType): """The tuple type Tuple[T1, ..., Tn] (at least one type argument). Instance variables: items: Tuple item types partial_fallback: The (imprecise) underlying instance type that is used for non-tuple methods. This is generally builtins.tuple[Any, ...] for regular tuples, but it's different for named tuples and classes with a tuple base class. Use mypy.typeops.tuple_fallback to calculate the precise fallback type derived from item types. implicit: If True, derived from a tuple expression (t,....) instead of Tuple[t, ...] """ __slots__ = ("items", "partial_fallback", "implicit") items: list[Type] partial_fallback: Instance implicit: bool def __init__( self, items: list[Type], fallback: Instance, line: int = -1, column: int = -1, implicit: bool = False, ) -> None: super().__init__(line, column) self.partial_fallback = fallback self.items = items self.implicit = implicit def can_be_true_default(self) -> bool: if self.can_be_any_bool(): # Corner case: it is a `NamedTuple` with `__bool__` method defined. # It can be anything: both `True` and `False`. return True return self.length() > 0 def can_be_false_default(self) -> bool: if self.can_be_any_bool(): # Corner case: it is a `NamedTuple` with `__bool__` method defined. # It can be anything: both `True` and `False`. return True if self.length() == 0: return True if self.length() > 1: return False # Special case tuple[*Ts] may or may not be false. item = self.items[0] if not isinstance(item, UnpackType): return False if not isinstance(item.type, TypeVarTupleType): # Non-normalized tuple[int, ...] can be false. return True return item.type.min_len == 0 def can_be_any_bool(self) -> bool: return bool( self.partial_fallback.type and self.partial_fallback.type.fullname != "builtins.tuple" and self.partial_fallback.type.names.get("__bool__") ) def length(self) -> int: return len(self.items) def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_tuple_type(self) def __hash__(self) -> int: return hash((tuple(self.items), self.partial_fallback)) def __eq__(self, other: object) -> bool: if not isinstance(other, TupleType): return NotImplemented return self.items == other.items and self.partial_fallback == other.partial_fallback def serialize(self) -> JsonDict: return { ".class": "TupleType", "items": [t.serialize() for t in self.items], "partial_fallback": self.partial_fallback.serialize(), "implicit": self.implicit, } @classmethod def deserialize(cls, data: JsonDict) -> TupleType: assert data[".class"] == "TupleType" return TupleType( [deserialize_type(t) for t in data["items"]], Instance.deserialize(data["partial_fallback"]), implicit=data["implicit"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, TUPLE_TYPE) self.partial_fallback.write(data) write_type_list(data, self.items) write_bool(data, self.implicit) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TupleType: assert read_tag(data) == INSTANCE fallback = Instance.read(data) ret = TupleType(read_type_list(data), fallback, implicit=read_bool(data)) assert read_tag(data) == END_TAG return ret def copy_modified( self, *, fallback: Instance | None = None, items: list[Type] | None = None ) -> TupleType: if fallback is None: fallback = self.partial_fallback if items is None: items = self.items return TupleType(items, fallback, self.line, self.column) def slice( self, begin: int | None, end: int | None, stride: int | None, *, fallback: Instance | None ) -> TupleType | None: if fallback is None: fallback = self.partial_fallback if stride == 0: return None if any(isinstance(t, UnpackType) for t in self.items): total = len(self.items) unpack_index = find_unpack_in_list(self.items) assert unpack_index is not None if begin is None and end is None: # We special-case this to support reversing variadic tuples. # General support for slicing is tricky, so we handle only simple cases. if stride == -1: slice_items = self.items[::-1] elif stride is None or stride == 1: slice_items = self.items else: return None elif (begin is None or unpack_index >= begin >= 0) and ( end is not None and unpack_index >= end >= 0 ): # Start and end are in the prefix, everything works in this case. slice_items = self.items[begin:end:stride] elif (begin is not None and unpack_index - total < begin < 0) and ( end is None or unpack_index - total < end < 0 ): # Start and end are in the suffix, everything works in this case. slice_items = self.items[begin:end:stride] elif (begin is None or unpack_index >= begin >= 0) and ( end is None or unpack_index - total < end < 0 ): # Start in the prefix, end in the suffix, we can support only trivial strides. if stride is None or stride == 1: slice_items = self.items[begin:end:stride] else: return None elif (begin is not None and unpack_index - total < begin < 0) and ( end is not None and unpack_index >= end >= 0 ): # Start in the suffix, end in the prefix, we can support only trivial strides. if stride is None or stride == -1: slice_items = self.items[begin:end:stride] else: return None else: # TODO: there some additional cases we can support for homogeneous variadic # items, we can "eat away" finite number of items. return None else: slice_items = self.items[begin:end:stride] return TupleType(slice_items, fallback, self.line, self.column, self.implicit) class TypedDictType(ProperType): """Type of TypedDict object {'k1': v1, ..., 'kn': vn}. A TypedDict object is a dictionary with specific string (literal) keys. Each key has a value with a distinct type that depends on the key. TypedDict objects are normal dict objects at runtime. A TypedDictType can be either named or anonymous. If it's anonymous, its fallback will be typing_extensions._TypedDict (Instance). _TypedDict is a subclass of Mapping[str, object] and defines all non-mapping dict methods that TypedDict supports. Some dict methods are unsafe and not supported. _TypedDict isn't defined at runtime. If a TypedDict is named, its fallback will be an Instance of the named type (ex: "Point") whose TypeInfo has a typeddict_type that is anonymous. This is similar to how named tuples work. TODO: The fallback structure is perhaps overly complicated. """ __slots__ = ( "items", "required_keys", "readonly_keys", "fallback", "extra_items_from", "to_be_mutated", ) items: dict[str, Type] # item_name -> item_type required_keys: set[str] readonly_keys: set[str] fallback: Instance extra_items_from: list[ProperType] # only used during semantic analysis to_be_mutated: bool # only used in a plugin for `.update`, `|=`, etc def __init__( self, items: dict[str, Type], required_keys: set[str], readonly_keys: set[str], fallback: Instance, line: int = -1, column: int = -1, ) -> None: super().__init__(line, column) self.items = items self.required_keys = required_keys self.readonly_keys = readonly_keys self.fallback = fallback self.can_be_true = len(self.items) > 0 self.can_be_false = len(self.required_keys) == 0 self.extra_items_from = [] self.to_be_mutated = False def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_typeddict_type(self) def __hash__(self) -> int: return hash( ( frozenset(self.items.items()), self.fallback, frozenset(self.required_keys), frozenset(self.readonly_keys), ) ) def __eq__(self, other: object) -> bool: if not isinstance(other, TypedDictType): return NotImplemented if self is other: return True return ( frozenset(self.items.keys()) == frozenset(other.items.keys()) and all( left_item_type == right_item_type for (_, left_item_type, right_item_type) in self.zip(other) ) and self.fallback == other.fallback and self.required_keys == other.required_keys and self.readonly_keys == other.readonly_keys ) def serialize(self) -> JsonDict: return { ".class": "TypedDictType", "items": [[n, t.serialize()] for (n, t) in self.items.items()], "required_keys": sorted(self.required_keys), "readonly_keys": sorted(self.readonly_keys), "fallback": self.fallback.serialize(), } @classmethod def deserialize(cls, data: JsonDict) -> TypedDictType: assert data[".class"] == "TypedDictType" return TypedDictType( {n: deserialize_type(t) for (n, t) in data["items"]}, set(data["required_keys"]), set(data["readonly_keys"]), Instance.deserialize(data["fallback"]), ) def write(self, data: WriteBuffer) -> None: write_tag(data, TYPED_DICT_TYPE) self.fallback.write(data) write_type_map(data, self.items) write_str_list(data, sorted(self.required_keys)) write_str_list(data, sorted(self.readonly_keys)) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> TypedDictType: assert read_tag(data) == INSTANCE fallback = Instance.read(data) ret = TypedDictType( read_type_map(data), set(read_str_list(data)), set(read_str_list(data)), fallback ) assert read_tag(data) == END_TAG return ret @property def is_final(self) -> bool: return self.fallback.type.is_final def is_anonymous(self) -> bool: return self.fallback.type.fullname in TPDICT_FB_NAMES def as_anonymous(self) -> TypedDictType: if self.is_anonymous(): return self assert self.fallback.type.typeddict_type is not None return self.fallback.type.typeddict_type.as_anonymous() def copy_modified( self, *, fallback: Instance | None = None, item_types: list[Type] | None = None, item_names: list[str] | None = None, required_keys: set[str] | None = None, readonly_keys: set[str] | None = None, ) -> TypedDictType: if fallback is None: fallback = self.fallback if item_types is None: items = self.items else: items = dict(zip(self.items, item_types)) if required_keys is None: required_keys = self.required_keys if readonly_keys is None: readonly_keys = self.readonly_keys if item_names is not None: items = {k: v for (k, v) in items.items() if k in item_names} required_keys &= set(item_names) return TypedDictType(items, required_keys, readonly_keys, fallback, self.line, self.column) def create_anonymous_fallback(self) -> Instance: anonymous = self.as_anonymous() return anonymous.fallback def names_are_wider_than(self, other: TypedDictType) -> bool: return len(other.items.keys() - self.items.keys()) == 0 def zip(self, right: TypedDictType) -> Iterable[tuple[str, Type, Type]]: left = self for item_name, left_item_type in left.items.items(): right_item_type = right.items.get(item_name) if right_item_type is not None: yield (item_name, left_item_type, right_item_type) def zipall(self, right: TypedDictType) -> Iterable[tuple[str, Type | None, Type | None]]: left = self for item_name, left_item_type in left.items.items(): right_item_type = right.items.get(item_name) yield (item_name, left_item_type, right_item_type) for item_name, right_item_type in right.items.items(): if item_name in left.items: continue yield (item_name, None, right_item_type) class RawExpressionType(ProperType): """A synthetic type representing some arbitrary expression that does not cleanly translate into a type. This synthetic type is only used at the beginning stages of semantic analysis and should be completely removing during the process for mapping UnboundTypes to actual types: we either turn it into a LiteralType or an AnyType. For example, suppose `Foo[1]` is initially represented as the following: UnboundType( name='Foo', args=[ RawExpressionType(value=1, base_type_name='builtins.int'), ], ) As we perform semantic analysis, this type will transform into one of two possible forms. If 'Foo' was an alias for 'Literal' all along, this type is transformed into: LiteralType(value=1, fallback=int_instance_here) Alternatively, if 'Foo' is an unrelated class, we report an error and instead produce something like this: Instance(type=typeinfo_for_foo, args=[AnyType(TypeOfAny.from_error)) If the "note" field is not None, the provided note will be reported alongside the error at this point. Note: if "literal_value" is None, that means this object is representing some expression that cannot possibly be a parameter of Literal[...]. For example, "Foo[3j]" would be represented as: UnboundType( name='Foo', args=[ RawExpressionType(value=None, base_type_name='builtins.complex'), ], ) """ __slots__ = ("literal_value", "base_type_name", "note") def __init__( self, literal_value: LiteralValue | None, base_type_name: str, line: int = -1, column: int = -1, note: str | None = None, ) -> None: super().__init__(line, column) self.literal_value = literal_value self.base_type_name = base_type_name self.note = note def simple_name(self) -> str: return self.base_type_name.replace("builtins.", "") def accept(self, visitor: TypeVisitor[T]) -> T: assert isinstance(visitor, SyntheticTypeVisitor) ret: T = visitor.visit_raw_expression_type(self) return ret def serialize(self) -> JsonDict: assert False, "Synthetic types don't serialize" def __hash__(self) -> int: return hash((self.literal_value, self.base_type_name)) def __eq__(self, other: object) -> bool: if isinstance(other, RawExpressionType): return ( self.base_type_name == other.base_type_name and self.literal_value == other.literal_value ) else: return NotImplemented class LiteralType(ProperType): """The type of a Literal instance. Literal[Value] A Literal always consists of: 1. A native Python object corresponding to the contained inner value 2. A fallback for this Literal. The fallback also corresponds to the parent type this Literal subtypes. For example, 'Literal[42]' is represented as 'LiteralType(value=42, fallback=instance_of_int)' As another example, `Literal[Color.RED]` (where Color is an enum) is represented as `LiteralType(value="RED", fallback=instance_of_color)'. """ __slots__ = ("value", "fallback", "_hash") def __init__( self, value: LiteralValue, fallback: Instance, line: int = -1, column: int = -1 ) -> None: super().__init__(line, column) self.value = value self.fallback = fallback self._hash = -1 # Cached hash value # NOTE: Enum types are always truthy by default, but this can be changed # in subclasses, so we need to get the truthyness from the Enum # type rather than base it on the value (which is a non-empty # string for enums, so always truthy) # TODO: We should consider moving this branch to the `can_be_true` # `can_be_false` properties instead, so the truthyness only # needs to be determined once per set of Enum literals. # However, the same can be said for `TypeAliasType` in some # cases and we only set the default based on the type it is # aliasing. So if we decide to change this, we may want to # change that as well. perf_compare output was inconclusive # but slightly favored this version, probably because we have # almost no test cases where we would redundantly compute # `can_be_false`/`can_be_true`. def can_be_false_default(self) -> bool: if self.fallback.type.is_enum: return self.fallback.can_be_false return not self.value def can_be_true_default(self) -> bool: if self.fallback.type.is_enum: return self.fallback.can_be_true return bool(self.value) def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_literal_type(self) def __hash__(self) -> int: if self._hash == -1: self._hash = hash((self.value, self.fallback)) return self._hash def __eq__(self, other: object) -> bool: if isinstance(other, LiteralType): return self.fallback == other.fallback and self.value == other.value else: return NotImplemented def is_enum_literal(self) -> bool: return self.fallback.type.is_enum def value_repr(self) -> str: """Returns the string representation of the underlying type. This function is almost equivalent to running `repr(self.value)`, except it includes some additional logic to correctly handle cases where the value is a string, byte string, a unicode string, or an enum. """ raw = repr(self.value) fallback_name = self.fallback.type.fullname # If this is backed by an enum, if self.is_enum_literal(): return f"{fallback_name}.{self.value}" if fallback_name == "builtins.bytes": # Note: 'builtins.bytes' only appears in Python 3, so we want to # explicitly prefix with a "b" return "b" + raw else: # 'builtins.str' could mean either depending on context, but either way # we don't prefix: it's the "native" string. And of course, if value is # some other type, we just return that string repr directly. return raw def serialize(self) -> JsonDict | str: return { ".class": "LiteralType", "value": self.value, "fallback": self.fallback.serialize(), } @classmethod def deserialize(cls, data: JsonDict) -> LiteralType: assert data[".class"] == "LiteralType" return LiteralType(value=data["value"], fallback=Instance.deserialize(data["fallback"])) def write(self, data: WriteBuffer) -> None: write_tag(data, LITERAL_TYPE) self.fallback.write(data) write_literal(data, self.value) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> LiteralType: assert read_tag(data) == INSTANCE fallback = Instance.read(data) tag = read_tag(data) ret = LiteralType(read_literal(data, tag), fallback) assert read_tag(data) == END_TAG return ret def is_singleton_type(self) -> bool: return self.is_enum_literal() or isinstance(self.value, bool) class UnionType(ProperType): """The union type Union[T1, ..., Tn] (at least one type argument).""" __slots__ = ( "items", "is_evaluated", "uses_pep604_syntax", "original_str_expr", "original_str_fallback", ) def __init__( self, items: Sequence[Type], line: int = -1, column: int = -1, *, is_evaluated: bool = True, uses_pep604_syntax: bool = False, ) -> None: super().__init__(line, column) # We must keep this false to avoid crashes during semantic analysis. # TODO: maybe switch this to True during type-checking pass? self.items = flatten_nested_unions(items, handle_type_alias_type=False) # is_evaluated should be set to false for type comments and string literals self.is_evaluated = is_evaluated # uses_pep604_syntax is True if Union uses OR syntax (X | Y) self.uses_pep604_syntax = uses_pep604_syntax # The meaning of these two is the same as for UnboundType. A UnionType can be # return by type parser from a string "A|B", and we need to be able to fall back # to plain string, when such a string appears inside a Literal[...]. self.original_str_expr: str | None = None self.original_str_fallback: str | None = None def can_be_true_default(self) -> bool: return any(item.can_be_true for item in self.items) def can_be_false_default(self) -> bool: return any(item.can_be_false for item in self.items) def __hash__(self) -> int: return hash(frozenset(self.items)) def __eq__(self, other: object) -> bool: if not isinstance(other, UnionType): return NotImplemented if self is other: return True return frozenset(self.items) == frozenset(other.items) @overload @staticmethod def make_union( items: Sequence[ProperType], line: int = -1, column: int = -1 ) -> ProperType: ... @overload @staticmethod def make_union(items: Sequence[Type], line: int = -1, column: int = -1) -> Type: ... @staticmethod def make_union(items: Sequence[Type], line: int = -1, column: int = -1) -> Type: if len(items) > 1: return UnionType(items, line, column) elif len(items) == 1: return items[0] else: return UninhabitedType() def length(self) -> int: return len(self.items) def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_union_type(self) def relevant_items(self) -> list[Type]: """Removes NoneTypes from Unions when strict Optional checking is off.""" if state.strict_optional: return self.items else: return [i for i in self.items if not isinstance(get_proper_type(i), NoneType)] def serialize(self) -> JsonDict: return { ".class": "UnionType", "items": [t.serialize() for t in self.items], "uses_pep604_syntax": self.uses_pep604_syntax, } @classmethod def deserialize(cls, data: JsonDict) -> UnionType: assert data[".class"] == "UnionType" return UnionType( [deserialize_type(t) for t in data["items"]], uses_pep604_syntax=data["uses_pep604_syntax"], ) def write(self, data: WriteBuffer) -> None: write_tag(data, UNION_TYPE) write_type_list(data, self.items) write_bool(data, self.uses_pep604_syntax) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> UnionType: ret = UnionType(read_type_list(data), uses_pep604_syntax=read_bool(data)) assert read_tag(data) == END_TAG return ret class PartialType(ProperType): """Type such as List[?] where type arguments are unknown, or partial None type. These are used for inferring types in multiphase initialization such as this: x = [] # x gets a partial type List[?], as item type is unknown x.append(1) # partial type gets replaced with normal type List[int] Or with None: x = None # x gets a partial type None if c: x = 1 # Infer actual type int for x """ __slots__ = ("type", "var", "value_type") # None for the 'None' partial type; otherwise a generic class type: mypy.nodes.TypeInfo | None var: mypy.nodes.Var # For partial defaultdict[K, V], the type V (K is unknown). If V is generic, # the type argument is Any and will be replaced later. value_type: Instance | None def __init__( self, type: mypy.nodes.TypeInfo | None, var: mypy.nodes.Var, value_type: Instance | None = None, ) -> None: super().__init__() self.type = type self.var = var self.value_type = value_type def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_partial_type(self) class EllipsisType(ProperType): """The type ... (ellipsis). This is not a real type but a syntactic AST construct, used in Callable[..., T], for example. A semantically analyzed type will never have ellipsis types. """ __slots__ = () def accept(self, visitor: TypeVisitor[T]) -> T: assert isinstance(visitor, SyntheticTypeVisitor) ret: T = visitor.visit_ellipsis_type(self) return ret def serialize(self) -> JsonDict: assert False, "Synthetic types don't serialize" class TypeType(ProperType): """For types like Type[User] or TypeForm[User | None]. Type[C] annotates variables that are class objects, constrained by the type argument. See PEP 484 for more details. TypeForm[T] annotates variables that hold the result of evaluating a type expression. See PEP 747 for more details. We may encounter expressions whose values are specific classes; those are represented as callables (possibly overloaded) corresponding to the class's constructor's signature and returning an instance of that class. The difference with Type[C] is that those callables always represent the exact class given as the return type; Type[C] represents any class that's a subclass of C, and C may also be a type variable or a union (or Any). Many questions around subtype relationships between Type[C1] and def(...) -> C2 are answered by looking at the subtype relationships between C1 and C2, since Type[] is considered covariant. There's an unsolved problem with constructor signatures (also unsolved in PEP 484): calling a variable whose type is Type[C] assumes the constructor signature for C, even though a subclass of C might completely change the constructor signature. For now we just assume that users of Type[C] are careful not to do that (in the future we might detect when they are violating that assumption). """ __slots__ = ("item", "is_type_form") # This can't be everything, but it can be a class reference, # a generic class instance, a union, Any, a type variable... item: ProperType # If True then this TypeType represents a TypeForm[T]. # If False then this TypeType represents a Type[C]. is_type_form: bool def __init__( self, item: Bogus[Instance | AnyType | TypeVarType | TupleType | NoneType | CallableType], *, line: int = -1, column: int = -1, is_type_form: bool = False, ) -> None: """To ensure Type[Union[A, B]] is always represented as Union[Type[A], Type[B]], item of type UnionType must be handled through make_normalized static method. """ super().__init__(line, column) self.item = item self.is_type_form = is_type_form @staticmethod def make_normalized( item: Type, *, line: int = -1, column: int = -1, is_type_form: bool = False ) -> ProperType: item = get_proper_type(item) if is_type_form: # Don't convert TypeForm[X | Y] to (TypeForm[X] | TypeForm[Y]) pass else: if isinstance(item, UnionType): return UnionType.make_union( [TypeType.make_normalized(union_item) for union_item in item.items], line=line, column=column, ) return TypeType(item, line=line, column=column, is_type_form=is_type_form) # type: ignore[arg-type] def accept(self, visitor: TypeVisitor[T]) -> T: return visitor.visit_type_type(self) def __hash__(self) -> int: return hash(self.item) def __eq__(self, other: object) -> bool: if not isinstance(other, TypeType): return NotImplemented return self.item == other.item and self.is_type_form == other.is_type_form def serialize(self) -> JsonDict: return { ".class": "TypeType", "item": self.item.serialize(), "is_type_form": self.is_type_form, } @classmethod def deserialize(cls, data: JsonDict) -> Type: assert data[".class"] == "TypeType" return TypeType.make_normalized( deserialize_type(data["item"]), is_type_form=data["is_type_form"] ) def write(self, data: WriteBuffer) -> None: write_tag(data, TYPE_TYPE) self.item.write(data) write_tag(data, END_TAG) @classmethod def read(cls, data: ReadBuffer) -> Type: ret = TypeType.make_normalized(read_type(data)) assert read_tag(data) == END_TAG return ret class PlaceholderType(ProperType): """Temporary, yet-unknown type during semantic analysis. This is needed when there's a reference to a type before the real symbol table entry of the target type is available (specifically, we use a temporary PlaceholderNode symbol node). Consider this example: class str(Sequence[str]): ... We use a PlaceholderType for the 'str' in 'Sequence[str]' since we can't create a TypeInfo for 'str' until all base classes have been resolved. We'll soon perform another analysis iteration which replaces the base class with a complete type without any placeholders. After semantic analysis, no placeholder types must exist. """ __slots__ = ("fullname", "args") def __init__(self, fullname: str | None, args: list[Type], line: int) -> None: super().__init__(line) self.fullname = fullname # Must be a valid full name of an actual node (or None). self.args = args def accept(self, visitor: TypeVisitor[T]) -> T: assert isinstance(visitor, SyntheticTypeVisitor) ret: T = visitor.visit_placeholder_type(self) return ret def __hash__(self) -> int: return hash((self.fullname, tuple(self.args))) def __eq__(self, other: object) -> bool: if not isinstance(other, PlaceholderType): return NotImplemented return self.fullname == other.fullname and self.args == other.args def serialize(self) -> str: # We should never get here since all placeholders should be replaced # during semantic analysis. assert False, f"Internal error: unresolved placeholder type {self.fullname}" @overload def get_proper_type(typ: None) -> None: ... @overload def get_proper_type(typ: Type) -> ProperType: ... def get_proper_type(typ: Type | None) -> ProperType | None: """Get the expansion of a type alias type. If the type is already a proper type, this is a no-op. Use this function wherever a decision is made on a call like e.g. 'if isinstance(typ, UnionType): ...', because 'typ' in this case may be an alias to union. Note: if after making the decision on the isinstance() call you pass on the original type (and not one of its components) it is recommended to *always* pass on the unexpanded alias. """ if typ is None: return None # TODO: this is an ugly hack, remove. if isinstance(typ, TypeGuardedType): typ = typ.type_guard while isinstance(typ, TypeAliasType): typ = typ._expand_once() # TODO: store the name of original type alias on this type, so we can show it in errors. return cast(ProperType, typ) @overload def get_proper_types(types: list[Type] | tuple[Type, ...]) -> list[ProperType]: ... @overload def get_proper_types( types: list[Type | None] | tuple[Type | None, ...], ) -> list[ProperType | None]: ... def get_proper_types( types: list[Type] | list[Type | None] | tuple[Type | None, ...], ) -> list[ProperType] | list[ProperType | None]: if isinstance(types, list): typelist = types # Optimize for the common case so that we don't need to allocate anything if not any(isinstance(t, (TypeAliasType, TypeGuardedType)) for t in typelist): return cast("list[ProperType]", typelist) return [get_proper_type(t) for t in typelist] else: return [get_proper_type(t) for t in types] # We split off the type visitor base classes to another module # to make it easier to gradually get modules working with mypyc. # Import them here, after the types are defined. # This is intended as a re-export also. from mypy.type_visitor import ( ALL_STRATEGY as ALL_STRATEGY, ANY_STRATEGY as ANY_STRATEGY, BoolTypeQuery as BoolTypeQuery, SyntheticTypeVisitor as SyntheticTypeVisitor, TypeQuery as TypeQuery, TypeTranslator as TypeTranslator, TypeVisitor as TypeVisitor, ) class TypeStrVisitor(SyntheticTypeVisitor[str]): """Visitor for pretty-printing types into strings. This is mostly for debugging/testing. Do not preserve original formatting. Notes: - Represent unbound types as Foo? or Foo?[...]. - Represent the NoneType type as None. """ def __init__(self, id_mapper: IdMapper | None = None, *, options: Options) -> None: self.id_mapper = id_mapper self.options = options self.dotted_aliases: set[TypeAliasType] | None = None def visit_unbound_type(self, t: UnboundType, /) -> str: s = t.name + "?" if t.args: s += f"[{self.list_str(t.args)}]" return s def visit_type_list(self, t: TypeList, /) -> str: return f"" def visit_callable_argument(self, t: CallableArgument, /) -> str: typ = t.typ.accept(self) if t.name is None: return f"{t.constructor}({typ})" else: return f"{t.constructor}({typ}, {t.name})" def visit_any(self, t: AnyType, /) -> str: return "Any" def visit_none_type(self, t: NoneType, /) -> str: return "None" def visit_uninhabited_type(self, t: UninhabitedType, /) -> str: return "Never" def visit_erased_type(self, t: ErasedType, /) -> str: return "" def visit_deleted_type(self, t: DeletedType, /) -> str: if t.source is None: return "" else: return f"" def visit_instance(self, t: Instance, /) -> str: if t.last_known_value and not t.args: # Instances with a literal fallback should never be generic. If they are, # something went wrong so we fall back to showing the full Instance repr. s = f"{t.last_known_value.accept(self)}?" else: s = t.type.fullname or t.type.name or "" if t.args: if t.type.fullname == "builtins.tuple": assert len(t.args) == 1 s += f"[{self.list_str(t.args)}, ...]" else: s += f"[{self.list_str(t.args)}]" elif t.type.has_type_var_tuple_type and len(t.type.type_vars) == 1: s += "[()]" if self.id_mapper: s += f"<{self.id_mapper.id(t.type)}>" return s def visit_type_var(self, t: TypeVarType, /) -> str: s = f"{t.name}`{t.id}" if self.id_mapper and t.upper_bound: s += f"(upper_bound={t.upper_bound.accept(self)})" if t.has_default(): s += f" = {t.default.accept(self)}" return s def visit_param_spec(self, t: ParamSpecType, /) -> str: # prefixes are displayed as Concatenate s = "" if t.prefix.arg_types: s += f"[{self.list_str(t.prefix.arg_types)}, **" s += f"{t.name_with_suffix()}`{t.id}" if t.prefix.arg_types: s += "]" if t.has_default(): s += f" = {t.default.accept(self)}" return s def visit_parameters(self, t: Parameters, /) -> str: # This is copied from visit_callable -- is there a way to decrease duplication? if t.is_ellipsis_args: return "..." s = "" bare_asterisk = False for i in range(len(t.arg_types)): if s != "": s += ", " if t.arg_kinds[i].is_named() and not bare_asterisk: s += "*, " bare_asterisk = True if t.arg_kinds[i] == ARG_STAR: s += "*" if t.arg_kinds[i] == ARG_STAR2: s += "**" name = t.arg_names[i] if name: s += f"{name}: " r = t.arg_types[i].accept(self) s += r if t.arg_kinds[i].is_optional(): s += " =" return f"[{s}]" def visit_type_var_tuple(self, t: TypeVarTupleType, /) -> str: s = f"{t.name}`{t.id}" if t.has_default(): s += f" = {t.default.accept(self)}" return s def visit_callable_type(self, t: CallableType, /) -> str: param_spec = t.param_spec() if param_spec is not None: num_skip = 2 else: num_skip = 0 s = "" asterisk = False for i in range(len(t.arg_types) - num_skip): if s != "": s += ", " if t.arg_kinds[i].is_named() and not asterisk: s += "*, " asterisk = True if t.arg_kinds[i] == ARG_STAR: s += "*" asterisk = True if t.arg_kinds[i] == ARG_STAR2: s += "**" name = t.arg_names[i] if name: s += name + ": " type_str = t.arg_types[i].accept(self) if t.arg_kinds[i] == ARG_STAR2 and t.unpack_kwargs: type_str = f"Unpack[{type_str}]" s += type_str if t.arg_kinds[i].is_optional(): s += " =" if param_spec is not None: n = param_spec.name if s: s += ", " s += f"*{n}.args, **{n}.kwargs" if param_spec.has_default(): s += f" = {param_spec.default.accept(self)}" s = f"({s})" if not isinstance(get_proper_type(t.ret_type), NoneType): if t.type_guard is not None: s += f" -> TypeGuard[{t.type_guard.accept(self)}]" elif t.type_is is not None: s += f" -> TypeIs[{t.type_is.accept(self)}]" else: s += f" -> {t.ret_type.accept(self)}" if t.variables: vs = [] for var in t.variables: if isinstance(var, TypeVarType): # We reimplement TypeVarType.__repr__ here in order to support id_mapper. if var.values: vals = f"({', '.join(val.accept(self) for val in var.values)})" vs.append(f"{var.name} in {vals}") elif not is_named_instance(var.upper_bound, "builtins.object"): vs.append( f"{var.name} <: {var.upper_bound.accept(self)}{f' = {var.default.accept(self)}' if var.has_default() else ''}" ) else: vs.append( f"{var.name}{f' = {var.default.accept(self)}' if var.has_default() else ''}" ) else: # For other TypeVarLikeTypes, use the name and default vs.append( f"{var.name}{f' = {var.default.accept(self)}' if var.has_default() else ''}" ) s = f"[{', '.join(vs)}] {s}" return f"def {s}" def visit_overloaded(self, t: Overloaded, /) -> str: a = [] for i in t.items: a.append(i.accept(self)) return f"Overload({', '.join(a)})" def visit_tuple_type(self, t: TupleType, /) -> str: s = self.list_str(t.items) or "()" if t.partial_fallback and t.partial_fallback.type: fallback_name = t.partial_fallback.type.fullname if fallback_name != "builtins.tuple": return f"tuple[{s}, fallback={t.partial_fallback.accept(self)}]" return f"tuple[{s}]" def visit_typeddict_type(self, t: TypedDictType, /) -> str: def item_str(name: str, typ: str) -> str: modifier = "" if name not in t.required_keys: modifier += "?" if name in t.readonly_keys: modifier += "=" return f"{name!r}{modifier}: {typ}" s = ( "{" + ", ".join(item_str(name, typ.accept(self)) for name, typ in t.items.items()) + "}" ) prefix = "" if t.fallback and t.fallback.type: if t.fallback.type.fullname not in TPDICT_FB_NAMES: prefix = repr(t.fallback.type.fullname) + ", " return f"TypedDict({prefix}{s})" def visit_raw_expression_type(self, t: RawExpressionType, /) -> str: return repr(t.literal_value) def visit_literal_type(self, t: LiteralType, /) -> str: return f"Literal[{t.value_repr()}]" def visit_union_type(self, t: UnionType, /) -> str: use_or_syntax = self.options.use_or_syntax() s = self.list_str(t.items, use_or_syntax=use_or_syntax) return s if use_or_syntax else f"Union[{s}]" def visit_partial_type(self, t: PartialType, /) -> str: if t.type is None: return "" else: return "".format(t.type.name, ", ".join(["?"] * len(t.type.type_vars))) def visit_ellipsis_type(self, t: EllipsisType, /) -> str: return "..." def visit_type_type(self, t: TypeType, /) -> str: if t.is_type_form: type_name = "TypeForm" else: type_name = "type" return f"{type_name}[{t.item.accept(self)}]" def visit_placeholder_type(self, t: PlaceholderType, /) -> str: return f"" def visit_type_alias_type(self, t: TypeAliasType, /) -> str: if t.alias is None: return "" if not t.is_recursive: return get_proper_type(t).accept(self) if self.dotted_aliases is None: self.dotted_aliases = set() elif t in self.dotted_aliases: return "..." self.dotted_aliases.add(t) type_str = get_proper_type(t).accept(self) self.dotted_aliases.discard(t) return type_str def visit_unpack_type(self, t: UnpackType, /) -> str: return f"Unpack[{t.type.accept(self)}]" def list_str(self, a: Iterable[Type], *, use_or_syntax: bool = False) -> str: """Convert items of an array to strings (pretty-print types) and join the results with commas. """ res = [] for t in a: res.append(t.accept(self)) sep = ", " if not use_or_syntax else " | " return sep.join(res) class TrivialSyntheticTypeTranslator(TypeTranslator, SyntheticTypeVisitor[Type]): """A base class for type translators that need to be run during semantic analysis.""" def visit_placeholder_type(self, t: PlaceholderType, /) -> Type: return t def visit_callable_argument(self, t: CallableArgument, /) -> Type: return t def visit_ellipsis_type(self, t: EllipsisType, /) -> Type: return t def visit_raw_expression_type(self, t: RawExpressionType, /) -> Type: return t def visit_type_list(self, t: TypeList, /) -> Type: return t class CollectAliasesVisitor(TypeQuery[list[mypy.nodes.TypeAlias]]): def __init__(self) -> None: super().__init__() self.seen_alias_nodes: set[mypy.nodes.TypeAlias] = set() def strategy(self, items: list[list[mypy.nodes.TypeAlias]]) -> list[mypy.nodes.TypeAlias]: out = [] for item in items: out.extend(item) return out def visit_type_alias_type(self, t: TypeAliasType, /) -> list[mypy.nodes.TypeAlias]: assert t.alias is not None if t.alias not in self.seen_alias_nodes: self.seen_alias_nodes.add(t.alias) res = [t.alias] + t.alias.target.accept(self) else: res = [] for arg in t.args: res.extend(arg.accept(self)) return res def is_named_instance(t: Type, fullnames: str | tuple[str, ...]) -> TypeGuard[Instance]: if not isinstance(fullnames, tuple): fullnames = (fullnames,) t = get_proper_type(t) return isinstance(t, Instance) and t.type.fullname in fullnames class HasTypeVars(BoolTypeQuery): """Visitor for querying whether a type has a type variable component.""" def __init__(self) -> None: super().__init__(ANY_STRATEGY) self.skip_alias_target = True def visit_type_var(self, t: TypeVarType) -> bool: return True def visit_type_var_tuple(self, t: TypeVarTupleType) -> bool: return True def visit_param_spec(self, t: ParamSpecType) -> bool: return True def has_type_vars(typ: Type) -> bool: """Check if a type contains any type variables (recursively).""" return typ.accept(HasTypeVars()) class HasRecursiveType(BoolTypeQuery): def __init__(self) -> None: super().__init__(ANY_STRATEGY) def visit_type_alias_type(self, t: TypeAliasType) -> bool: return t.is_recursive or self.query_types(t.args) # Use singleton since this is hot (note: call reset() before using) _has_recursive_type: Final = HasRecursiveType() def has_recursive_types(typ: Type) -> bool: """Check if a type contains any recursive aliases (recursively).""" _has_recursive_type.reset() return typ.accept(_has_recursive_type) def split_with_prefix_and_suffix( types: tuple[Type, ...], prefix: int, suffix: int ) -> tuple[tuple[Type, ...], tuple[Type, ...], tuple[Type, ...]]: if len(types) <= prefix + suffix: types = extend_args_for_prefix_and_suffix(types, prefix, suffix) if suffix: return types[:prefix], types[prefix:-suffix], types[-suffix:] else: return types[:prefix], types[prefix:], () def extend_args_for_prefix_and_suffix( types: tuple[Type, ...], prefix: int, suffix: int ) -> tuple[Type, ...]: """Extend list of types by eating out from variadic tuple to satisfy prefix and suffix.""" idx = None item = None for i, t in enumerate(types): if isinstance(t, UnpackType): p_type = get_proper_type(t.type) if isinstance(p_type, Instance) and p_type.type.fullname == "builtins.tuple": item = p_type.args[0] idx = i break if idx is None: return types assert item is not None if idx < prefix: start = (item,) * (prefix - idx) else: start = () if len(types) - idx - 1 < suffix: end = (item,) * (suffix - len(types) + idx + 1) else: end = () return types[:idx] + start + (types[idx],) + end + types[idx + 1 :] def flatten_nested_unions( types: Sequence[Type], *, handle_type_alias_type: bool = True, handle_recursive: bool = True ) -> list[Type]: """Flatten nested unions in a type list.""" if not isinstance(types, list): typelist = list(types) else: typelist = cast("list[Type]", types) # Fast path: most of the time there is nothing to flatten if not any(isinstance(t, (TypeAliasType, UnionType)) for t in typelist): # type: ignore[misc] return typelist flat_items: list[Type] = [] for t in typelist: if handle_type_alias_type and isinstance(t, TypeAliasType): if not handle_recursive and t.is_recursive: tp: Type = t else: tp = get_proper_type(t) else: tp = t if isinstance(tp, ProperType) and isinstance(tp, UnionType): flat_items.extend( flatten_nested_unions( tp.items, handle_type_alias_type=handle_type_alias_type, handle_recursive=handle_recursive, ) ) else: # Must preserve original aliases when possible. flat_items.append(t) return flat_items def find_unpack_in_list(items: Sequence[Type]) -> int | None: unpack_index: int | None = None for i, item in enumerate(items): if isinstance(item, UnpackType): # We cannot fail here, so we must check this in an earlier # semanal phase. # Funky code here avoids mypyc narrowing the type of unpack_index. old_index = unpack_index assert old_index is None # Don't return so that we can also sanity check there is only one. unpack_index = i return unpack_index def flatten_nested_tuples(types: Iterable[Type]) -> list[Type]: """Recursively flatten TupleTypes nested with Unpack. For example this will transform Tuple[A, Unpack[Tuple[B, Unpack[Tuple[C, D]]]]] into Tuple[A, B, C, D] """ res = [] for typ in types: if not isinstance(typ, UnpackType): res.append(typ) continue p_type = get_proper_type(typ.type) if not isinstance(p_type, TupleType): res.append(typ) continue if isinstance(typ.type, TypeAliasType): items = [] for item in p_type.items: if ( isinstance(item, ProperType) and isinstance(item, Instance) or isinstance(item, TypeAliasType) ): if len(item.args) == 0: item = item.copy_modified() item.set_line(typ) items.append(item) else: items = p_type.items res.extend(flatten_nested_tuples(items)) return res def is_literal_type(typ: ProperType, fallback_fullname: str, value: LiteralValue) -> bool: """Check if this type is a LiteralType with the given fallback type and value.""" if isinstance(typ, Instance) and typ.last_known_value: typ = typ.last_known_value return ( isinstance(typ, LiteralType) and typ.fallback.type.fullname == fallback_fullname and typ.value == value ) names: Final = globals().copy() names.pop("NOT_READY", None) deserialize_map: Final = { key: obj.deserialize for key, obj in names.items() if isinstance(obj, type) and issubclass(obj, Type) and obj is not Type } def callable_with_ellipsis(any_type: AnyType, ret_type: Type, fallback: Instance) -> CallableType: """Construct type Callable[..., ret_type].""" return CallableType( [any_type, any_type], [ARG_STAR, ARG_STAR2], [None, None], ret_type=ret_type, fallback=fallback, is_ellipsis_args=True, ) def remove_dups(types: list[T]) -> list[T]: if len(types) <= 1: return types # Get unique elements in order of appearance all_types: set[T] = set() new_types: list[T] = [] for t in types: if t not in all_types: new_types.append(t) all_types.add(t) return new_types def type_vars_as_args(type_vars: Sequence[TypeVarLikeType]) -> tuple[Type, ...]: """Represent type variables as they would appear in a type argument list.""" args: list[Type] = [] for tv in type_vars: if isinstance(tv, TypeVarTupleType): args.append(UnpackType(tv)) else: args.append(tv) return tuple(args) # See docstring for mypy/cache.py for reserved tag ranges. # Instance-related tags. INSTANCE: Final[Tag] = 80 INSTANCE_SIMPLE: Final[Tag] = 81 INSTANCE_GENERIC: Final[Tag] = 82 INSTANCE_STR: Final[Tag] = 83 INSTANCE_FUNCTION: Final[Tag] = 84 INSTANCE_INT: Final[Tag] = 85 INSTANCE_BOOL: Final[Tag] = 86 INSTANCE_OBJECT: Final[Tag] = 87 # Other type tags. TYPE_ALIAS_TYPE: Final[Tag] = 100 TYPE_VAR_TYPE: Final[Tag] = 101 PARAM_SPEC_TYPE: Final[Tag] = 102 TYPE_VAR_TUPLE_TYPE: Final[Tag] = 103 UNBOUND_TYPE: Final[Tag] = 104 UNPACK_TYPE: Final[Tag] = 105 ANY_TYPE: Final[Tag] = 106 UNINHABITED_TYPE: Final[Tag] = 107 NONE_TYPE: Final[Tag] = 108 DELETED_TYPE: Final[Tag] = 109 CALLABLE_TYPE: Final[Tag] = 110 OVERLOADED: Final[Tag] = 111 TUPLE_TYPE: Final[Tag] = 112 TYPED_DICT_TYPE: Final[Tag] = 113 LITERAL_TYPE: Final[Tag] = 114 UNION_TYPE: Final[Tag] = 115 TYPE_TYPE: Final[Tag] = 116 PARAMETERS: Final[Tag] = 117 def read_type(data: ReadBuffer, tag: Tag | None = None) -> Type: if tag is None: tag = read_tag(data) # The branches here are ordered manually by type "popularity". if tag == INSTANCE: return Instance.read(data) if tag == ANY_TYPE: return AnyType.read(data) if tag == TYPE_VAR_TYPE: return TypeVarType.read(data) if tag == CALLABLE_TYPE: return CallableType.read(data) if tag == NONE_TYPE: return NoneType.read(data) if tag == UNION_TYPE: return UnionType.read(data) if tag == LITERAL_TYPE: return LiteralType.read(data) if tag == TYPE_ALIAS_TYPE: return TypeAliasType.read(data) if tag == TUPLE_TYPE: return TupleType.read(data) if tag == TYPED_DICT_TYPE: return TypedDictType.read(data) if tag == TYPE_TYPE: return TypeType.read(data) if tag == OVERLOADED: return Overloaded.read(data) if tag == PARAM_SPEC_TYPE: return ParamSpecType.read(data) if tag == TYPE_VAR_TUPLE_TYPE: return TypeVarTupleType.read(data) if tag == UNPACK_TYPE: return UnpackType.read(data) if tag == PARAMETERS: return Parameters.read(data) if tag == UNINHABITED_TYPE: return UninhabitedType.read(data) if tag == UNBOUND_TYPE: return UnboundType.read(data) if tag == DELETED_TYPE: return DeletedType.read(data) assert False, f"Unknown type tag {tag}" def read_function_like(data: ReadBuffer, tag: Tag) -> FunctionLike: if tag == CALLABLE_TYPE: return CallableType.read(data) if tag == OVERLOADED: return Overloaded.read(data) assert False, f"Invalid type tag for FunctionLike {tag}" def read_type_var_likes(data: ReadBuffer) -> list[TypeVarLikeType]: """Specialized version of read_type_list() for lists of type variables.""" assert read_tag(data) == LIST_GEN ret: list[TypeVarLikeType] = [] for _ in range(read_int_bare(data)): tag = read_tag(data) if tag == TYPE_VAR_TYPE: ret.append(TypeVarType.read(data)) elif tag == PARAM_SPEC_TYPE: ret.append(ParamSpecType.read(data)) elif tag == TYPE_VAR_TUPLE_TYPE: ret.append(TypeVarTupleType.read(data)) else: assert False, f"Invalid type tag for TypeVarLikeType {tag}" return ret def read_type_opt(data: ReadBuffer) -> Type | None: tag = read_tag(data) if tag == LITERAL_NONE: return None return read_type(data, tag) def write_type_opt(data: WriteBuffer, value: Type | None) -> None: if value is not None: value.write(data) else: write_tag(data, LITERAL_NONE) def read_type_list(data: ReadBuffer) -> list[Type]: assert read_tag(data) == LIST_GEN size = read_int_bare(data) return [read_type(data) for _ in range(size)] def write_type_list(data: WriteBuffer, value: Sequence[Type]) -> None: write_tag(data, LIST_GEN) write_int_bare(data, len(value)) for item in value: item.write(data) def read_type_map(data: ReadBuffer) -> dict[str, Type]: assert read_tag(data) == DICT_STR_GEN size = read_int_bare(data) return {read_str_bare(data): read_type(data) for _ in range(size)} def write_type_map(data: WriteBuffer, value: dict[str, Type]) -> None: write_tag(data, DICT_STR_GEN) write_int_bare(data, len(value)) for key in sorted(value): write_str_bare(data, key) value[key].write(data) # This cyclic import is unfortunate, but to avoid it we would need to move away all uses # of get_proper_type() from types.py. Majority of them have been removed, but few remaining # are quite tricky to get rid of, but ultimately we want to do it at some point. from mypy.expandtype import ExpandTypeVisitor class InstantiateAliasVisitor(ExpandTypeVisitor): def visit_union_type(self, t: UnionType) -> Type: # Unlike regular expand_type(), we don't do any simplification for unions, # not even removing strict duplicates. There are three reasons for this: # * get_proper_type() is a very hot function, even slightest slow down will # cause a perf regression # * We want to preserve this historical behaviour, to avoid possible # regressions # * Simplifying unions may (indirectly) call get_proper_type(), causing # infinite recursion. return TypeTranslator.visit_union_type(self, t) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/types_utils.py0000644000175100017510000001375615112307767016227 0ustar00runnerrunner""" This module is for (more basic) type operations that should not depend on is_subtype(), meet_types(), join_types() etc. We don't want to keep them in mypy/types.py for two reasons: * Reduce the size of that module. * Reduce use of get_proper_type() in types.py to avoid cyclic imports expand_type <-> types, if we move get_proper_type() to the former. """ from __future__ import annotations from collections.abc import Iterable from typing import Callable, cast from mypy.nodes import ARG_STAR, ARG_STAR2, FuncItem, TypeAlias from mypy.types import ( AnyType, CallableType, Instance, LiteralType, NoneType, Overloaded, ParamSpecType, ProperType, TupleType, Type, TypeAliasType, TypeType, TypeVarType, UnionType, UnpackType, flatten_nested_unions, get_proper_type, get_proper_types, ) def flatten_types(types: Iterable[Type]) -> Iterable[Type]: for t in types: tp = get_proper_type(t) if isinstance(tp, UnionType): yield from flatten_types(tp.items) else: yield t def strip_type(typ: Type) -> Type: """Make a copy of type without 'debugging info' (function name).""" orig_typ = typ typ = get_proper_type(typ) if isinstance(typ, CallableType): return typ.copy_modified(name=None) elif isinstance(typ, Overloaded): return Overloaded([cast(CallableType, strip_type(item)) for item in typ.items]) else: return orig_typ def is_invalid_recursive_alias(seen_nodes: set[TypeAlias], target: Type) -> bool: """Flag aliases like A = Union[int, A], T = tuple[int, *T] (and similar mutual aliases). Such aliases don't make much sense, and cause problems in later phases. """ if isinstance(target, TypeAliasType): if target.alias in seen_nodes: return True assert target.alias, f"Unfixed type alias {target.type_ref}" return is_invalid_recursive_alias(seen_nodes | {target.alias}, get_proper_type(target)) assert isinstance(target, ProperType) if not isinstance(target, (UnionType, TupleType)): return False if isinstance(target, UnionType): return any(is_invalid_recursive_alias(seen_nodes, item) for item in target.items) for item in target.items: if isinstance(item, UnpackType): if is_invalid_recursive_alias(seen_nodes, item.type): return True return False def get_bad_type_type_item(item: Type) -> str | None: """Prohibit types like Type[Type[...]]. Such types are explicitly prohibited by PEP 484. Also, they cause problems with recursive types like T = Type[T], because internal representation of TypeType item is normalized (i.e. always a proper type). Also forbids `Type[Literal[...]]`, because typing spec does not allow it. """ # TODO: what else cannot be present in `type[...]`? item = get_proper_type(item) if isinstance(item, TypeType): return "Type[...]" if isinstance(item, LiteralType): return "Literal[...]" if isinstance(item, UnionType): items = [ bad_item for typ in flatten_nested_unions(item.items) if (bad_item := get_bad_type_type_item(typ)) is not None ] if not items: return None if len(items) == 1: return items[0] return f"Union[{', '.join(items)}]" return None def is_union_with_any(tp: Type) -> bool: """Is this a union with Any or a plain Any type?""" tp = get_proper_type(tp) if isinstance(tp, AnyType): return True if not isinstance(tp, UnionType): return False return any(is_union_with_any(t) for t in get_proper_types(tp.items)) def is_generic_instance(tp: Type) -> bool: tp = get_proper_type(tp) return isinstance(tp, Instance) and bool(tp.args) def is_overlapping_none(t: Type) -> bool: t = get_proper_type(t) return isinstance(t, NoneType) or ( isinstance(t, UnionType) and any(isinstance(get_proper_type(e), NoneType) for e in t.items) ) def remove_optional(typ: Type) -> Type: typ = get_proper_type(typ) if isinstance(typ, UnionType): return UnionType.make_union( [t for t in typ.items if not isinstance(get_proper_type(t), NoneType)] ) else: return typ def is_self_type_like(typ: Type, *, is_classmethod: bool) -> bool: """Does this look like a self-type annotation?""" typ = get_proper_type(typ) if not is_classmethod: return isinstance(typ, TypeVarType) if not isinstance(typ, TypeType): return False return isinstance(typ.item, TypeVarType) def store_argument_type( defn: FuncItem, i: int, typ: CallableType, named_type: Callable[[str, list[Type]], Instance] ) -> None: arg_type = typ.arg_types[i] if typ.arg_kinds[i] == ARG_STAR: if isinstance(arg_type, ParamSpecType): pass elif isinstance(arg_type, UnpackType): unpacked_type = get_proper_type(arg_type.type) if isinstance(unpacked_type, TupleType): # Instead of using Tuple[Unpack[Tuple[...]]], just use Tuple[...] arg_type = unpacked_type elif ( isinstance(unpacked_type, Instance) and unpacked_type.type.fullname == "builtins.tuple" ): arg_type = unpacked_type else: # TODO: verify that we can only have a TypeVarTuple here. arg_type = TupleType( [arg_type], fallback=named_type("builtins.tuple", [named_type("builtins.object", [])]), ) else: # builtins.tuple[T] is typing.Tuple[T, ...] arg_type = named_type("builtins.tuple", [arg_type]) elif typ.arg_kinds[i] == ARG_STAR2: if not isinstance(arg_type, ParamSpecType) and not typ.unpack_kwargs: arg_type = named_type("builtins.dict", [named_type("builtins.str", []), arg_type]) defn.arguments[i].variable.type = arg_type ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4927645 mypy-1.19.0/mypy/typeshed/0000755000175100017510000000000015112310011015052 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/LICENSE0000644000175100017510000003056115112307767016114 0ustar00runnerrunnerThe "typeshed" project is licensed under the terms of the Apache license, as reproduced below. = = = = = Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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See the License for the specific language governing permissions and limitations under the License. = = = = = Parts of typeshed are licensed under different licenses (like the MIT license), reproduced below. = = = = = The MIT License Copyright (c) 2015 Jukka Lehtosalo and contributors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. = = = = = ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.535765 mypy-1.19.0/mypy/typeshed/stdlib/0000755000175100017510000000000015112310012016334 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/VERSIONS0000644000175100017510000001441415112307767017562 0ustar00runnerrunner# The structure of this file is as follows: # - Blank lines and comments starting with `#` are ignored. # - Lines contain the name of a module, followed by a colon, # a space, and a version range (for example: `symbol: 3.0-3.9`). # # Version ranges may be of the form "X.Y-A.B" or "X.Y-". The # first form means that a module was introduced in version X.Y and last # available in version A.B. The second form means that the module was # introduced in version X.Y and is still available in the latest # version of Python. # # If a submodule is not listed separately, it has the same lifetime as # its parent module. # # Python versions before 3.0 are ignored, so any module that was already # present in 3.0 will have "3.0" as its minimum version. Version ranges # for unsupported versions of Python 3 are generally accurate but we do # not guarantee their correctness. __future__: 3.0- __main__: 3.0- _ast: 3.0- _asyncio: 3.0- _bisect: 3.0- _blake2: 3.6- _bootlocale: 3.4-3.9 _bz2: 3.3- _codecs: 3.0- _collections_abc: 3.3- _compat_pickle: 3.1- _compression: 3.5-3.13 _contextvars: 3.7- _csv: 3.0- _ctypes: 3.0- _curses: 3.0- _curses_panel: 3.0- _dbm: 3.0- _decimal: 3.3- _frozen_importlib: 3.0- _frozen_importlib_external: 3.5- _gdbm: 3.0- _hashlib: 3.0- _heapq: 3.0- _imp: 3.0- _interpchannels: 3.13- _interpqueues: 3.13- _interpreters: 3.13- _io: 3.0- _json: 3.0- _locale: 3.0- _lsprof: 3.0- _lzma: 3.3- _markupbase: 3.0- _msi: 3.0-3.12 _multibytecodec: 3.0- _operator: 3.4- _osx_support: 3.0- _pickle: 3.0- _posixsubprocess: 3.2- _py_abc: 3.7- _pydecimal: 3.5- _queue: 3.7- _random: 3.0- _sitebuiltins: 3.4- _socket: 3.0- # present in 3.0 at runtime, but not in typeshed _sqlite3: 3.0- _ssl: 3.0- _stat: 3.4- _struct: 3.0- _thread: 3.0- _threading_local: 3.0- _tkinter: 3.0- _tracemalloc: 3.4- _typeshed: 3.0- # not present at runtime, only for type checking _warnings: 3.0- _weakref: 3.0- _weakrefset: 3.0- _winapi: 3.3- _zstd: 3.14- abc: 3.0- aifc: 3.0-3.12 annotationlib: 3.14- antigravity: 3.0- argparse: 3.0- array: 3.0- ast: 3.0- asynchat: 3.0-3.11 asyncio: 3.4- asyncio.exceptions: 3.8- asyncio.format_helpers: 3.7- asyncio.graph: 3.14- asyncio.mixins: 3.10- asyncio.runners: 3.7- asyncio.staggered: 3.8- asyncio.taskgroups: 3.11- asyncio.threads: 3.9- asyncio.timeouts: 3.11- asyncio.tools: 3.14- asyncio.trsock: 3.8- asyncore: 3.0-3.11 atexit: 3.0- audioop: 3.0-3.12 base64: 3.0- bdb: 3.0- binascii: 3.0- binhex: 3.0-3.10 bisect: 3.0- builtins: 3.0- bz2: 3.0- cProfile: 3.0- calendar: 3.0- cgi: 3.0-3.12 cgitb: 3.0-3.12 chunk: 3.0-3.12 cmath: 3.0- cmd: 3.0- code: 3.0- codecs: 3.0- codeop: 3.0- collections: 3.0- collections.abc: 3.3- colorsys: 3.0- compileall: 3.0- compression: 3.14- concurrent: 3.2- concurrent.futures.interpreter: 3.14- concurrent.interpreters: 3.14- configparser: 3.0- contextlib: 3.0- contextvars: 3.7- copy: 3.0- copyreg: 3.0- crypt: 3.0-3.12 csv: 3.0- ctypes: 3.0- curses: 3.0- dataclasses: 3.7- datetime: 3.0- dbm: 3.0- dbm.sqlite3: 3.13- decimal: 3.0- difflib: 3.0- dis: 3.0- distutils: 3.0-3.11 distutils.command.bdist_msi: 3.0-3.10 distutils.command.bdist_wininst: 3.0-3.9 doctest: 3.0- email: 3.0- encodings: 3.0- encodings.cp1125: 3.4- encodings.cp273: 3.4- encodings.cp858: 3.2- encodings.koi8_t: 3.5- encodings.kz1048: 3.5- ensurepip: 3.0- enum: 3.4- errno: 3.0- faulthandler: 3.3- fcntl: 3.0- filecmp: 3.0- fileinput: 3.0- fnmatch: 3.0- formatter: 3.0-3.9 fractions: 3.0- ftplib: 3.0- functools: 3.0- gc: 3.0- genericpath: 3.0- getopt: 3.0- getpass: 3.0- gettext: 3.0- glob: 3.0- graphlib: 3.9- grp: 3.0- gzip: 3.0- hashlib: 3.0- heapq: 3.0- hmac: 3.0- html: 3.0- http: 3.0- imaplib: 3.0- imghdr: 3.0-3.12 imp: 3.0-3.11 importlib: 3.0- importlib._abc: 3.10- importlib._bootstrap: 3.0- importlib._bootstrap_external: 3.5- importlib.metadata: 3.8- importlib.metadata._meta: 3.10- importlib.metadata.diagnose: 3.13- importlib.readers: 3.10- importlib.resources: 3.7- importlib.resources._common: 3.11- importlib.resources._functional: 3.13- importlib.resources.abc: 3.11- importlib.resources.readers: 3.11- importlib.resources.simple: 3.11- importlib.simple: 3.11- inspect: 3.0- io: 3.0- ipaddress: 3.3- itertools: 3.0- json: 3.0- keyword: 3.0- lib2to3: 3.0-3.12 linecache: 3.0- locale: 3.0- logging: 3.0- lzma: 3.3- mailbox: 3.0- mailcap: 3.0-3.12 marshal: 3.0- math: 3.0- mimetypes: 3.0- mmap: 3.0- modulefinder: 3.0- msilib: 3.0-3.12 msvcrt: 3.0- multiprocessing: 3.0- multiprocessing.resource_tracker: 3.8- multiprocessing.shared_memory: 3.8- netrc: 3.0- nis: 3.0-3.12 nntplib: 3.0-3.12 nt: 3.0- ntpath: 3.0- nturl2path: 3.0- numbers: 3.0- opcode: 3.0- operator: 3.0- optparse: 3.0- os: 3.0- ossaudiodev: 3.0-3.12 parser: 3.0-3.9 pathlib: 3.4- pathlib.types: 3.14- pdb: 3.0- pickle: 3.0- pickletools: 3.0- pipes: 3.0-3.12 pkgutil: 3.0- platform: 3.0- plistlib: 3.0- poplib: 3.0- posix: 3.0- posixpath: 3.0- pprint: 3.0- profile: 3.0- pstats: 3.0- pty: 3.0- pwd: 3.0- py_compile: 3.0- pyclbr: 3.0- pydoc: 3.0- pydoc_data: 3.0- pyexpat: 3.0- queue: 3.0- quopri: 3.0- random: 3.0- re: 3.0- readline: 3.0- reprlib: 3.0- resource: 3.0- rlcompleter: 3.0- runpy: 3.0- sched: 3.0- secrets: 3.6- select: 3.0- selectors: 3.4- shelve: 3.0- shlex: 3.0- shutil: 3.0- signal: 3.0- site: 3.0- smtpd: 3.0-3.11 smtplib: 3.0- sndhdr: 3.0-3.12 socket: 3.0- socketserver: 3.0- spwd: 3.0-3.12 sqlite3: 3.0- sre_compile: 3.0- sre_constants: 3.0- sre_parse: 3.0- ssl: 3.0- stat: 3.0- statistics: 3.4- string: 3.0- string.templatelib: 3.14- stringprep: 3.0- struct: 3.0- subprocess: 3.0- sunau: 3.0-3.12 symbol: 3.0-3.9 symtable: 3.0- sys: 3.0- sys._monitoring: 3.12- # Doesn't actually exist. See comments in the stub. sysconfig: 3.0- syslog: 3.0- tabnanny: 3.0- tarfile: 3.0- telnetlib: 3.0-3.12 tempfile: 3.0- termios: 3.0- textwrap: 3.0- this: 3.0- threading: 3.0- time: 3.0- timeit: 3.0- tkinter: 3.0- tkinter.tix: 3.0-3.12 token: 3.0- tokenize: 3.0- tomllib: 3.11- trace: 3.0- traceback: 3.0- tracemalloc: 3.4- tty: 3.0- turtle: 3.0- types: 3.0- typing: 3.5- typing_extensions: 3.0- unicodedata: 3.0- unittest: 3.0- unittest._log: 3.9- unittest.async_case: 3.8- urllib: 3.0- uu: 3.0-3.12 uuid: 3.0- venv: 3.3- warnings: 3.0- wave: 3.0- weakref: 3.0- webbrowser: 3.0- winreg: 3.0- winsound: 3.0- wsgiref: 3.0- wsgiref.types: 3.11- xdrlib: 3.0-3.12 xml: 3.0- xmlrpc: 3.0- xxlimited: 3.2- zipapp: 3.5- zipfile: 3.0- zipfile._path: 3.12- zipimport: 3.0- zlib: 3.0- zoneinfo: 3.9- ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/__future__.pyi0000644000175100017510000000162315112307767021216 0ustar00runnerrunnerfrom typing_extensions import TypeAlias _VersionInfo: TypeAlias = tuple[int, int, int, str, int] class _Feature: def __init__(self, optionalRelease: _VersionInfo, mandatoryRelease: _VersionInfo | None, compiler_flag: int) -> None: ... def getOptionalRelease(self) -> _VersionInfo: ... def getMandatoryRelease(self) -> _VersionInfo | None: ... compiler_flag: int absolute_import: _Feature division: _Feature generators: _Feature nested_scopes: _Feature print_function: _Feature unicode_literals: _Feature with_statement: _Feature barry_as_FLUFL: _Feature generator_stop: _Feature annotations: _Feature all_feature_names: list[str] # undocumented __all__ = [ "all_feature_names", "absolute_import", "division", "generators", "nested_scopes", "print_function", "unicode_literals", "with_statement", "barry_as_FLUFL", "generator_stop", "annotations", ] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/__main__.pyi0000644000175100017510000000006515112307767020627 0ustar00runnerrunnerdef __getattr__(name: str): ... # incomplete module ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_ast.pyi0000644000175100017510000000642015112307767020036 0ustar00runnerrunnerimport sys from ast import ( AST as AST, Add as Add, And as And, AnnAssign as AnnAssign, Assert as Assert, Assign as Assign, AsyncFor as AsyncFor, AsyncFunctionDef as AsyncFunctionDef, AsyncWith as AsyncWith, Attribute as Attribute, AugAssign as AugAssign, Await as Await, BinOp as BinOp, BitAnd as BitAnd, BitOr as BitOr, BitXor as BitXor, BoolOp as BoolOp, Break as Break, Call as Call, ClassDef as ClassDef, Compare as Compare, Constant as Constant, Continue as Continue, Del as Del, Delete as Delete, Dict as Dict, DictComp as DictComp, Div as Div, Eq as Eq, ExceptHandler as ExceptHandler, Expr as Expr, Expression as Expression, FloorDiv as FloorDiv, For as For, FormattedValue as FormattedValue, FunctionDef as FunctionDef, FunctionType as FunctionType, GeneratorExp as GeneratorExp, Global as Global, Gt as Gt, GtE as GtE, If as If, IfExp as IfExp, Import as Import, ImportFrom as ImportFrom, In as In, Interactive as Interactive, Invert as Invert, Is as Is, IsNot as IsNot, JoinedStr as JoinedStr, Lambda as Lambda, List as List, ListComp as ListComp, Load as Load, LShift as LShift, Lt as Lt, LtE as LtE, MatMult as MatMult, Mod as Mod, Module as Module, Mult as Mult, Name as Name, NamedExpr as NamedExpr, Nonlocal as Nonlocal, Not as Not, NotEq as NotEq, NotIn as NotIn, Or as Or, Pass as Pass, Pow as Pow, Raise as Raise, Return as Return, RShift as RShift, Set as Set, SetComp as SetComp, Slice as Slice, Starred as Starred, Store as Store, Sub as Sub, Subscript as Subscript, Try as Try, Tuple as Tuple, TypeIgnore as TypeIgnore, UAdd as UAdd, UnaryOp as UnaryOp, USub as USub, While as While, With as With, Yield as Yield, YieldFrom as YieldFrom, alias as alias, arg as arg, arguments as arguments, boolop as boolop, cmpop as cmpop, comprehension as comprehension, excepthandler as excepthandler, expr as expr, expr_context as expr_context, keyword as keyword, mod as mod, operator as operator, stmt as stmt, type_ignore as type_ignore, unaryop as unaryop, withitem as withitem, ) from typing import Final if sys.version_info >= (3, 12): from ast import ( ParamSpec as ParamSpec, TypeAlias as TypeAlias, TypeVar as TypeVar, TypeVarTuple as TypeVarTuple, type_param as type_param, ) if sys.version_info >= (3, 11): from ast import TryStar as TryStar if sys.version_info >= (3, 10): from ast import ( Match as Match, MatchAs as MatchAs, MatchClass as MatchClass, MatchMapping as MatchMapping, MatchOr as MatchOr, MatchSequence as MatchSequence, MatchSingleton as MatchSingleton, MatchStar as MatchStar, MatchValue as MatchValue, match_case as match_case, pattern as pattern, ) PyCF_ALLOW_TOP_LEVEL_AWAIT: Final = 8192 PyCF_ONLY_AST: Final = 1024 PyCF_TYPE_COMMENTS: Final = 4096 if sys.version_info >= (3, 13): PyCF_OPTIMIZED_AST: Final = 33792 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_asyncio.pyi0000644000175100017510000001141015112307767020707 0ustar00runnerrunnerimport sys from asyncio.events import AbstractEventLoop from collections.abc import Awaitable, Callable, Coroutine, Generator, Iterable from contextvars import Context from types import FrameType, GenericAlias from typing import Any, Literal, TextIO, TypeVar from typing_extensions import Self, TypeAlias, disjoint_base _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _TaskYieldType: TypeAlias = Future[object] | None @disjoint_base class Future(Awaitable[_T], Iterable[_T]): _state: str @property def _exception(self) -> BaseException | None: ... _blocking: bool @property def _log_traceback(self) -> bool: ... @_log_traceback.setter def _log_traceback(self, val: Literal[False]) -> None: ... _asyncio_future_blocking: bool # is a part of duck-typing contract for `Future` def __init__(self, *, loop: AbstractEventLoop | None = None) -> None: ... def __del__(self) -> None: ... def get_loop(self) -> AbstractEventLoop: ... @property def _callbacks(self) -> list[tuple[Callable[[Self], Any], Context]]: ... def add_done_callback(self, fn: Callable[[Self], object], /, *, context: Context | None = None) -> None: ... def cancel(self, msg: Any | None = None) -> bool: ... def cancelled(self) -> bool: ... def done(self) -> bool: ... def result(self) -> _T: ... def exception(self) -> BaseException | None: ... def remove_done_callback(self, fn: Callable[[Self], object], /) -> int: ... def set_result(self, result: _T, /) -> None: ... def set_exception(self, exception: type | BaseException, /) -> None: ... def __iter__(self) -> Generator[Any, None, _T]: ... def __await__(self) -> Generator[Any, None, _T]: ... @property def _loop(self) -> AbstractEventLoop: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... if sys.version_info >= (3, 12): _TaskCompatibleCoro: TypeAlias = Coroutine[Any, Any, _T_co] else: _TaskCompatibleCoro: TypeAlias = Generator[_TaskYieldType, None, _T_co] | Coroutine[Any, Any, _T_co] # mypy and pyright complain that a subclass of an invariant class shouldn't be covariant. # While this is true in general, here it's sort-of okay to have a covariant subclass, # since the only reason why `asyncio.Future` is invariant is the `set_result()` method, # and `asyncio.Task.set_result()` always raises. @disjoint_base class Task(Future[_T_co]): # type: ignore[type-var] # pyright: ignore[reportInvalidTypeArguments] if sys.version_info >= (3, 12): def __init__( self, coro: _TaskCompatibleCoro[_T_co], *, loop: AbstractEventLoop | None = None, name: str | None = None, context: Context | None = None, eager_start: bool = False, ) -> None: ... elif sys.version_info >= (3, 11): def __init__( self, coro: _TaskCompatibleCoro[_T_co], *, loop: AbstractEventLoop | None = None, name: str | None = None, context: Context | None = None, ) -> None: ... else: def __init__( self, coro: _TaskCompatibleCoro[_T_co], *, loop: AbstractEventLoop | None = None, name: str | None = None ) -> None: ... if sys.version_info >= (3, 12): def get_coro(self) -> _TaskCompatibleCoro[_T_co] | None: ... else: def get_coro(self) -> _TaskCompatibleCoro[_T_co]: ... def get_name(self) -> str: ... def set_name(self, value: object, /) -> None: ... if sys.version_info >= (3, 12): def get_context(self) -> Context: ... def get_stack(self, *, limit: int | None = None) -> list[FrameType]: ... def print_stack(self, *, limit: int | None = None, file: TextIO | None = None) -> None: ... if sys.version_info >= (3, 11): def cancelling(self) -> int: ... def uncancel(self) -> int: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def get_event_loop() -> AbstractEventLoop: ... def get_running_loop() -> AbstractEventLoop: ... def _set_running_loop(loop: AbstractEventLoop | None, /) -> None: ... def _get_running_loop() -> AbstractEventLoop: ... def _register_task(task: Task[Any]) -> None: ... def _unregister_task(task: Task[Any]) -> None: ... def _enter_task(loop: AbstractEventLoop, task: Task[Any]) -> None: ... def _leave_task(loop: AbstractEventLoop, task: Task[Any]) -> None: ... if sys.version_info >= (3, 12): def current_task(loop: AbstractEventLoop | None = None) -> Task[Any] | None: ... if sys.version_info >= (3, 14): def future_discard_from_awaited_by(future: Future[Any], waiter: Future[Any], /) -> None: ... def future_add_to_awaited_by(future: Future[Any], waiter: Future[Any], /) -> None: ... def all_tasks(loop: AbstractEventLoop | None = None) -> set[Task[Any]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_bisect.pyi0000644000175100017510000000513315112307767020520 0ustar00runnerrunnerimport sys from _typeshed import SupportsLenAndGetItem, SupportsRichComparisonT from collections.abc import Callable, MutableSequence from typing import TypeVar, overload _T = TypeVar("_T") if sys.version_info >= (3, 10): @overload def bisect_left( a: SupportsLenAndGetItem[SupportsRichComparisonT], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None, *, key: None = None, ) -> int: ... @overload def bisect_left( a: SupportsLenAndGetItem[_T], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None, *, key: Callable[[_T], SupportsRichComparisonT], ) -> int: ... @overload def bisect_right( a: SupportsLenAndGetItem[SupportsRichComparisonT], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None, *, key: None = None, ) -> int: ... @overload def bisect_right( a: SupportsLenAndGetItem[_T], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None, *, key: Callable[[_T], SupportsRichComparisonT], ) -> int: ... @overload def insort_left( a: MutableSequence[SupportsRichComparisonT], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None, *, key: None = None, ) -> None: ... @overload def insort_left( a: MutableSequence[_T], x: _T, lo: int = 0, hi: int | None = None, *, key: Callable[[_T], SupportsRichComparisonT] ) -> None: ... @overload def insort_right( a: MutableSequence[SupportsRichComparisonT], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None, *, key: None = None, ) -> None: ... @overload def insort_right( a: MutableSequence[_T], x: _T, lo: int = 0, hi: int | None = None, *, key: Callable[[_T], SupportsRichComparisonT] ) -> None: ... else: def bisect_left( a: SupportsLenAndGetItem[SupportsRichComparisonT], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None ) -> int: ... def bisect_right( a: SupportsLenAndGetItem[SupportsRichComparisonT], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None ) -> int: ... def insort_left( a: MutableSequence[SupportsRichComparisonT], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None ) -> None: ... def insort_right( a: MutableSequence[SupportsRichComparisonT], x: SupportsRichComparisonT, lo: int = 0, hi: int | None = None ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_blake2.pyi0000644000175100017510000000672615112307767020420 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from typing import ClassVar, Final, final from typing_extensions import Self BLAKE2B_MAX_DIGEST_SIZE: Final = 64 BLAKE2B_MAX_KEY_SIZE: Final = 64 BLAKE2B_PERSON_SIZE: Final = 16 BLAKE2B_SALT_SIZE: Final = 16 BLAKE2S_MAX_DIGEST_SIZE: Final = 32 BLAKE2S_MAX_KEY_SIZE: Final = 32 BLAKE2S_PERSON_SIZE: Final = 8 BLAKE2S_SALT_SIZE: Final = 8 @final class blake2b: MAX_DIGEST_SIZE: ClassVar[int] = 64 MAX_KEY_SIZE: ClassVar[int] = 64 PERSON_SIZE: ClassVar[int] = 16 SALT_SIZE: ClassVar[int] = 16 block_size: int digest_size: int name: str if sys.version_info >= (3, 13): def __new__( cls, data: ReadableBuffer = b"", *, digest_size: int = 64, key: ReadableBuffer = b"", salt: ReadableBuffer = b"", person: ReadableBuffer = b"", fanout: int = 1, depth: int = 1, leaf_size: int = 0, node_offset: int = 0, node_depth: int = 0, inner_size: int = 0, last_node: bool = False, usedforsecurity: bool = True, string: ReadableBuffer | None = None, ) -> Self: ... else: def __new__( cls, data: ReadableBuffer = b"", /, *, digest_size: int = 64, key: ReadableBuffer = b"", salt: ReadableBuffer = b"", person: ReadableBuffer = b"", fanout: int = 1, depth: int = 1, leaf_size: int = 0, node_offset: int = 0, node_depth: int = 0, inner_size: int = 0, last_node: bool = False, usedforsecurity: bool = True, ) -> Self: ... def copy(self) -> Self: ... def digest(self) -> bytes: ... def hexdigest(self) -> str: ... def update(self, data: ReadableBuffer, /) -> None: ... @final class blake2s: MAX_DIGEST_SIZE: ClassVar[int] = 32 MAX_KEY_SIZE: ClassVar[int] = 32 PERSON_SIZE: ClassVar[int] = 8 SALT_SIZE: ClassVar[int] = 8 block_size: int digest_size: int name: str if sys.version_info >= (3, 13): def __new__( cls, data: ReadableBuffer = b"", *, digest_size: int = 32, key: ReadableBuffer = b"", salt: ReadableBuffer = b"", person: ReadableBuffer = b"", fanout: int = 1, depth: int = 1, leaf_size: int = 0, node_offset: int = 0, node_depth: int = 0, inner_size: int = 0, last_node: bool = False, usedforsecurity: bool = True, string: ReadableBuffer | None = None, ) -> Self: ... else: def __new__( cls, data: ReadableBuffer = b"", /, *, digest_size: int = 32, key: ReadableBuffer = b"", salt: ReadableBuffer = b"", person: ReadableBuffer = b"", fanout: int = 1, depth: int = 1, leaf_size: int = 0, node_offset: int = 0, node_depth: int = 0, inner_size: int = 0, last_node: bool = False, usedforsecurity: bool = True, ) -> Self: ... def copy(self) -> Self: ... def digest(self) -> bytes: ... def hexdigest(self) -> str: ... def update(self, data: ReadableBuffer, /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_bootlocale.pyi0000644000175100017510000000010015112307767021357 0ustar00runnerrunnerdef getpreferredencoding(do_setlocale: bool = True) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_bz2.pyi0000644000175100017510000000124615112307767017745 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from typing import final from typing_extensions import Self @final class BZ2Compressor: if sys.version_info >= (3, 12): def __new__(cls, compresslevel: int = 9, /) -> Self: ... else: def __init__(self, compresslevel: int = 9, /) -> None: ... def compress(self, data: ReadableBuffer, /) -> bytes: ... def flush(self) -> bytes: ... @final class BZ2Decompressor: def decompress(self, data: ReadableBuffer, max_length: int = -1) -> bytes: ... @property def eof(self) -> bool: ... @property def needs_input(self) -> bool: ... @property def unused_data(self) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_codecs.pyi0000644000175100017510000001510115112307767020503 0ustar00runnerrunnerimport codecs import sys from _typeshed import ReadableBuffer from collections.abc import Callable from typing import Literal, final, overload, type_check_only from typing_extensions import TypeAlias # This type is not exposed; it is defined in unicodeobject.c # At runtime it calls itself builtins.EncodingMap @final @type_check_only class _EncodingMap: def size(self) -> int: ... _CharMap: TypeAlias = dict[int, int] | _EncodingMap _Handler: TypeAlias = Callable[[UnicodeError], tuple[str | bytes, int]] _SearchFunction: TypeAlias = Callable[[str], codecs.CodecInfo | None] def register(search_function: _SearchFunction, /) -> None: ... if sys.version_info >= (3, 10): def unregister(search_function: _SearchFunction, /) -> None: ... def register_error(errors: str, handler: _Handler, /) -> None: ... def lookup_error(name: str, /) -> _Handler: ... # The type ignore on `encode` and `decode` is to avoid issues with overlapping overloads, for more details, see #300 # https://docs.python.org/3/library/codecs.html#binary-transforms _BytesToBytesEncoding: TypeAlias = Literal[ "base64", "base_64", "base64_codec", "bz2", "bz2_codec", "hex", "hex_codec", "quopri", "quotedprintable", "quoted_printable", "quopri_codec", "uu", "uu_codec", "zip", "zlib", "zlib_codec", ] # https://docs.python.org/3/library/codecs.html#text-transforms _StrToStrEncoding: TypeAlias = Literal["rot13", "rot_13"] @overload def encode(obj: ReadableBuffer, encoding: _BytesToBytesEncoding, errors: str = "strict") -> bytes: ... @overload def encode(obj: str, encoding: _StrToStrEncoding, errors: str = "strict") -> str: ... # type: ignore[overload-overlap] @overload def encode(obj: str, encoding: str = "utf-8", errors: str = "strict") -> bytes: ... @overload def decode(obj: ReadableBuffer, encoding: _BytesToBytesEncoding, errors: str = "strict") -> bytes: ... # type: ignore[overload-overlap] @overload def decode(obj: str, encoding: _StrToStrEncoding, errors: str = "strict") -> str: ... # these are documented as text encodings but in practice they also accept str as input @overload def decode( obj: str, encoding: Literal["unicode_escape", "unicode-escape", "raw_unicode_escape", "raw-unicode-escape"], errors: str = "strict", ) -> str: ... # hex is officially documented as a bytes to bytes encoding, but it appears to also work with str @overload def decode(obj: str, encoding: Literal["hex", "hex_codec"], errors: str = "strict") -> bytes: ... @overload def decode(obj: ReadableBuffer, encoding: str = "utf-8", errors: str = "strict") -> str: ... def lookup(encoding: str, /) -> codecs.CodecInfo: ... def charmap_build(map: str, /) -> _CharMap: ... def ascii_decode(data: ReadableBuffer, errors: str | None = None, /) -> tuple[str, int]: ... def ascii_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def charmap_decode(data: ReadableBuffer, errors: str | None = None, mapping: _CharMap | None = None, /) -> tuple[str, int]: ... def charmap_encode(str: str, errors: str | None = None, mapping: _CharMap | None = None, /) -> tuple[bytes, int]: ... def escape_decode(data: str | ReadableBuffer, errors: str | None = None, /) -> tuple[str, int]: ... def escape_encode(data: bytes, errors: str | None = None, /) -> tuple[bytes, int]: ... def latin_1_decode(data: ReadableBuffer, errors: str | None = None, /) -> tuple[str, int]: ... def latin_1_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def raw_unicode_escape_decode( data: str | ReadableBuffer, errors: str | None = None, final: bool = True, / ) -> tuple[str, int]: ... def raw_unicode_escape_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def readbuffer_encode(data: str | ReadableBuffer, errors: str | None = None, /) -> tuple[bytes, int]: ... def unicode_escape_decode(data: str | ReadableBuffer, errors: str | None = None, final: bool = True, /) -> tuple[str, int]: ... def unicode_escape_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def utf_16_be_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def utf_16_be_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def utf_16_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def utf_16_encode(str: str, errors: str | None = None, byteorder: int = 0, /) -> tuple[bytes, int]: ... def utf_16_ex_decode( data: ReadableBuffer, errors: str | None = None, byteorder: int = 0, final: bool = False, / ) -> tuple[str, int, int]: ... def utf_16_le_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def utf_16_le_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def utf_32_be_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def utf_32_be_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def utf_32_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def utf_32_encode(str: str, errors: str | None = None, byteorder: int = 0, /) -> tuple[bytes, int]: ... def utf_32_ex_decode( data: ReadableBuffer, errors: str | None = None, byteorder: int = 0, final: bool = False, / ) -> tuple[str, int, int]: ... def utf_32_le_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def utf_32_le_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def utf_7_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def utf_7_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def utf_8_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def utf_8_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... if sys.platform == "win32": def mbcs_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def mbcs_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def code_page_decode( codepage: int, data: ReadableBuffer, errors: str | None = None, final: bool = False, / ) -> tuple[str, int]: ... def code_page_encode(code_page: int, str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... def oem_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def oem_encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_collections_abc.pyi0000644000175100017510000000573215112307767022377 0ustar00runnerrunnerimport sys from abc import abstractmethod from types import MappingProxyType from typing import ( # noqa: Y022,Y038,UP035,Y057 AbstractSet as Set, AsyncGenerator as AsyncGenerator, AsyncIterable as AsyncIterable, AsyncIterator as AsyncIterator, Awaitable as Awaitable, ByteString as ByteString, Callable as Callable, ClassVar, Collection as Collection, Container as Container, Coroutine as Coroutine, Generator as Generator, Generic, Hashable as Hashable, ItemsView as ItemsView, Iterable as Iterable, Iterator as Iterator, KeysView as KeysView, Mapping as Mapping, MappingView as MappingView, MutableMapping as MutableMapping, MutableSequence as MutableSequence, MutableSet as MutableSet, Protocol, Reversible as Reversible, Sequence as Sequence, Sized as Sized, TypeVar, ValuesView as ValuesView, final, runtime_checkable, ) __all__ = [ "Awaitable", "Coroutine", "AsyncIterable", "AsyncIterator", "AsyncGenerator", "Hashable", "Iterable", "Iterator", "Generator", "Reversible", "Sized", "Container", "Callable", "Collection", "Set", "MutableSet", "Mapping", "MutableMapping", "MappingView", "KeysView", "ItemsView", "ValuesView", "Sequence", "MutableSequence", "ByteString", ] if sys.version_info >= (3, 12): __all__ += ["Buffer"] _KT_co = TypeVar("_KT_co", covariant=True) # Key type covariant containers. _VT_co = TypeVar("_VT_co", covariant=True) # Value type covariant containers. @final class dict_keys(KeysView[_KT_co], Generic[_KT_co, _VT_co]): # undocumented def __eq__(self, value: object, /) -> bool: ... def __reversed__(self) -> Iterator[_KT_co]: ... __hash__: ClassVar[None] # type: ignore[assignment] if sys.version_info >= (3, 13): def isdisjoint(self, other: Iterable[_KT_co], /) -> bool: ... if sys.version_info >= (3, 10): @property def mapping(self) -> MappingProxyType[_KT_co, _VT_co]: ... @final class dict_values(ValuesView[_VT_co], Generic[_KT_co, _VT_co]): # undocumented def __reversed__(self) -> Iterator[_VT_co]: ... if sys.version_info >= (3, 10): @property def mapping(self) -> MappingProxyType[_KT_co, _VT_co]: ... @final class dict_items(ItemsView[_KT_co, _VT_co]): # undocumented def __eq__(self, value: object, /) -> bool: ... def __reversed__(self) -> Iterator[tuple[_KT_co, _VT_co]]: ... __hash__: ClassVar[None] # type: ignore[assignment] if sys.version_info >= (3, 13): def isdisjoint(self, other: Iterable[tuple[_KT_co, _VT_co]], /) -> bool: ... if sys.version_info >= (3, 10): @property def mapping(self) -> MappingProxyType[_KT_co, _VT_co]: ... if sys.version_info >= (3, 12): @runtime_checkable class Buffer(Protocol): __slots__ = () @abstractmethod def __buffer__(self, flags: int, /) -> memoryview: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_compat_pickle.pyi0000644000175100017510000000066615112307767022067 0ustar00runnerrunnerfrom typing import Final IMPORT_MAPPING: Final[dict[str, str]] NAME_MAPPING: Final[dict[tuple[str, str], tuple[str, str]]] PYTHON2_EXCEPTIONS: Final[tuple[str, ...]] MULTIPROCESSING_EXCEPTIONS: Final[tuple[str, ...]] REVERSE_IMPORT_MAPPING: Final[dict[str, str]] REVERSE_NAME_MAPPING: Final[dict[tuple[str, str], tuple[str, str]]] PYTHON3_OSERROR_EXCEPTIONS: Final[tuple[str, ...]] PYTHON3_IMPORTERROR_EXCEPTIONS: Final[tuple[str, ...]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_compression.pyi0000644000175100017510000000254115112307767021610 0ustar00runnerrunner# _compression is replaced by compression._common._streams on Python 3.14+ (PEP-784) from _typeshed import ReadableBuffer, WriteableBuffer from collections.abc import Callable from io import DEFAULT_BUFFER_SIZE, BufferedIOBase, RawIOBase from typing import Any, Protocol, type_check_only BUFFER_SIZE = DEFAULT_BUFFER_SIZE @type_check_only class _Reader(Protocol): def read(self, n: int, /) -> bytes: ... def seekable(self) -> bool: ... def seek(self, n: int, /) -> Any: ... @type_check_only class _Decompressor(Protocol): def decompress(self, data: ReadableBuffer, /, max_length: int = ...) -> bytes: ... @property def unused_data(self) -> bytes: ... @property def eof(self) -> bool: ... # `zlib._Decompress` does not have next property, but `DecompressReader` calls it: # @property # def needs_input(self) -> bool: ... class BaseStream(BufferedIOBase): ... class DecompressReader(RawIOBase): def __init__( self, fp: _Reader, decomp_factory: Callable[..., _Decompressor], trailing_error: type[Exception] | tuple[type[Exception], ...] = (), **decomp_args: Any, # These are passed to decomp_factory. ) -> None: ... def readinto(self, b: WriteableBuffer) -> int: ... def read(self, size: int = -1) -> bytes: ... def seek(self, offset: int, whence: int = 0) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_contextvars.pyi0000644000175100017510000000450215112307767021626 0ustar00runnerrunnerimport sys from collections.abc import Callable, Iterator, Mapping from types import GenericAlias, TracebackType from typing import Any, ClassVar, Generic, TypeVar, final, overload from typing_extensions import ParamSpec, Self _T = TypeVar("_T") _D = TypeVar("_D") _P = ParamSpec("_P") @final class ContextVar(Generic[_T]): @overload def __new__(cls, name: str) -> Self: ... @overload def __new__(cls, name: str, *, default: _T) -> Self: ... def __hash__(self) -> int: ... @property def name(self) -> str: ... @overload def get(self) -> _T: ... @overload def get(self, default: _T, /) -> _T: ... @overload def get(self, default: _D, /) -> _D | _T: ... def set(self, value: _T, /) -> Token[_T]: ... def reset(self, token: Token[_T], /) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @final class Token(Generic[_T]): @property def var(self) -> ContextVar[_T]: ... @property def old_value(self) -> Any: ... # returns either _T or MISSING, but that's hard to express MISSING: ClassVar[object] __hash__: ClassVar[None] # type: ignore[assignment] def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... if sys.version_info >= (3, 14): def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None, / ) -> None: ... def copy_context() -> Context: ... # It doesn't make sense to make this generic, because for most Contexts each ContextVar will have # a different value. @final class Context(Mapping[ContextVar[Any], Any]): def __init__(self) -> None: ... @overload def get(self, key: ContextVar[_T], default: None = None, /) -> _T | None: ... @overload def get(self, key: ContextVar[_T], default: _T, /) -> _T: ... @overload def get(self, key: ContextVar[_T], default: _D, /) -> _T | _D: ... def run(self, callable: Callable[_P, _T], *args: _P.args, **kwargs: _P.kwargs) -> _T: ... def copy(self) -> Context: ... __hash__: ClassVar[None] # type: ignore[assignment] def __getitem__(self, key: ContextVar[_T], /) -> _T: ... def __iter__(self) -> Iterator[ContextVar[Any]]: ... def __len__(self) -> int: ... def __eq__(self, value: object, /) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_csv.pyi0000644000175100017510000000771115112307767020046 0ustar00runnerrunnerimport csv import sys from _typeshed import SupportsWrite from collections.abc import Iterable from typing import Any, Final, Literal, type_check_only from typing_extensions import Self, TypeAlias, disjoint_base __version__: Final[str] QUOTE_ALL: Final = 1 QUOTE_MINIMAL: Final = 0 QUOTE_NONE: Final = 3 QUOTE_NONNUMERIC: Final = 2 if sys.version_info >= (3, 12): QUOTE_STRINGS: Final = 4 QUOTE_NOTNULL: Final = 5 if sys.version_info >= (3, 12): _QuotingType: TypeAlias = Literal[0, 1, 2, 3, 4, 5] else: _QuotingType: TypeAlias = Literal[0, 1, 2, 3] class Error(Exception): ... _DialectLike: TypeAlias = str | Dialect | csv.Dialect | type[Dialect | csv.Dialect] @disjoint_base class Dialect: delimiter: str quotechar: str | None escapechar: str | None doublequote: bool skipinitialspace: bool lineterminator: str quoting: _QuotingType strict: bool def __new__( cls, dialect: _DialectLike | None = None, delimiter: str = ",", doublequote: bool = True, escapechar: str | None = None, lineterminator: str = "\r\n", quotechar: str | None = '"', quoting: _QuotingType = 0, skipinitialspace: bool = False, strict: bool = False, ) -> Self: ... if sys.version_info >= (3, 10): # This class calls itself _csv.reader. @disjoint_base class Reader: @property def dialect(self) -> Dialect: ... line_num: int def __iter__(self) -> Self: ... def __next__(self) -> list[str]: ... # This class calls itself _csv.writer. @disjoint_base class Writer: @property def dialect(self) -> Dialect: ... if sys.version_info >= (3, 13): def writerow(self, row: Iterable[Any], /) -> Any: ... def writerows(self, rows: Iterable[Iterable[Any]], /) -> None: ... else: def writerow(self, row: Iterable[Any]) -> Any: ... def writerows(self, rows: Iterable[Iterable[Any]]) -> None: ... # For the return types below. # These aliases can be removed when typeshed drops support for 3.9. _reader = Reader _writer = Writer else: # This class is not exposed. It calls itself _csv.reader. @type_check_only class _reader: @property def dialect(self) -> Dialect: ... line_num: int def __iter__(self) -> Self: ... def __next__(self) -> list[str]: ... # This class is not exposed. It calls itself _csv.writer. @type_check_only class _writer: @property def dialect(self) -> Dialect: ... def writerow(self, row: Iterable[Any]) -> Any: ... def writerows(self, rows: Iterable[Iterable[Any]]) -> None: ... def writer( fileobj: SupportsWrite[str], /, dialect: _DialectLike = "excel", *, delimiter: str = ",", quotechar: str | None = '"', escapechar: str | None = None, doublequote: bool = True, skipinitialspace: bool = False, lineterminator: str = "\r\n", quoting: _QuotingType = 0, strict: bool = False, ) -> _writer: ... def reader( iterable: Iterable[str], /, dialect: _DialectLike = "excel", *, delimiter: str = ",", quotechar: str | None = '"', escapechar: str | None = None, doublequote: bool = True, skipinitialspace: bool = False, lineterminator: str = "\r\n", quoting: _QuotingType = 0, strict: bool = False, ) -> _reader: ... def register_dialect( name: str, /, dialect: type[Dialect | csv.Dialect] | str = "excel", *, delimiter: str = ",", quotechar: str | None = '"', escapechar: str | None = None, doublequote: bool = True, skipinitialspace: bool = False, lineterminator: str = "\r\n", quoting: _QuotingType = 0, strict: bool = False, ) -> None: ... def unregister_dialect(name: str) -> None: ... def get_dialect(name: str) -> Dialect: ... def list_dialects() -> list[str]: ... def field_size_limit(new_limit: int = ...) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_ctypes.pyi0000644000175100017510000004054715112307767020566 0ustar00runnerrunnerimport _typeshed import sys from _typeshed import ReadableBuffer, StrOrBytesPath, WriteableBuffer from abc import abstractmethod from collections.abc import Callable, Iterable, Iterator, Mapping, Sequence from ctypes import CDLL, ArgumentError as ArgumentError, c_void_p from types import GenericAlias from typing import Any, ClassVar, Final, Generic, TypeVar, final, overload, type_check_only from typing_extensions import Self, TypeAlias _T = TypeVar("_T") _CT = TypeVar("_CT", bound=_CData) FUNCFLAG_CDECL: Final = 0x1 FUNCFLAG_PYTHONAPI: Final = 0x4 FUNCFLAG_USE_ERRNO: Final = 0x8 FUNCFLAG_USE_LASTERROR: Final = 0x10 RTLD_GLOBAL: Final[int] RTLD_LOCAL: Final[int] if sys.version_info >= (3, 11): CTYPES_MAX_ARGCOUNT: Final[int] if sys.version_info >= (3, 12): SIZEOF_TIME_T: Final[int] if sys.platform == "win32": # Description, Source, HelpFile, HelpContext, scode _COMError_Details: TypeAlias = tuple[str | None, str | None, str | None, int | None, int | None] class COMError(Exception): hresult: int text: str | None details: _COMError_Details def __init__(self, hresult: int, text: str | None, details: _COMError_Details) -> None: ... def CopyComPointer(src: _PointerLike, dst: _PointerLike | _CArgObject) -> int: ... FUNCFLAG_HRESULT: Final = 0x2 FUNCFLAG_STDCALL: Final = 0x0 def FormatError(code: int = ...) -> str: ... def get_last_error() -> int: ... def set_last_error(value: int) -> int: ... def LoadLibrary(name: str, load_flags: int = 0, /) -> int: ... def FreeLibrary(handle: int, /) -> None: ... else: def dlclose(handle: int, /) -> None: ... # The default for flag is RTLD_GLOBAL|RTLD_LOCAL, which is platform dependent. def dlopen(name: StrOrBytesPath, flag: int = ..., /) -> int: ... def dlsym(handle: int, name: str, /) -> int: ... if sys.version_info >= (3, 13): # This class is not exposed. It calls itself _ctypes.CType_Type. @type_check_only class _CType_Type(type): # By default mypy complains about the following two methods, because strictly speaking cls # might not be a Type[_CT]. However this doesn't happen because this is only a # metaclass for subclasses of _CData. def __mul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __rmul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] _CTypeBaseType = _CType_Type else: _CTypeBaseType = type # This class is not exposed. @type_check_only class _CData: _b_base_: int _b_needsfree_: bool _objects: Mapping[Any, int] | None def __buffer__(self, flags: int, /) -> memoryview: ... def __ctypes_from_outparam__(self, /) -> Self: ... if sys.version_info >= (3, 14): __pointer_type__: type # this is a union of all the subclasses of _CData, which is useful because of # the methods that are present on each of those subclasses which are not present # on _CData itself. _CDataType: TypeAlias = _SimpleCData[Any] | _Pointer[Any] | CFuncPtr | Union | Structure | Array[Any] # This class is not exposed. It calls itself _ctypes.PyCSimpleType. @type_check_only class _PyCSimpleType(_CTypeBaseType): def from_address(self: type[_typeshed.Self], value: int, /) -> _typeshed.Self: ... def from_buffer(self: type[_typeshed.Self], obj: WriteableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_buffer_copy(self: type[_typeshed.Self], buffer: ReadableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_param(self: type[_typeshed.Self], value: Any, /) -> _typeshed.Self | _CArgObject: ... def in_dll(self: type[_typeshed.Self], dll: CDLL, name: str, /) -> _typeshed.Self: ... if sys.version_info < (3, 13): # Inherited from CType_Type starting on 3.13 def __mul__(self: type[_CT], value: int, /) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __rmul__(self: type[_CT], value: int, /) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] class _SimpleCData(_CData, Generic[_T], metaclass=_PyCSimpleType): value: _T # The TypeVar can be unsolved here, # but we can't use overloads without creating many, many mypy false-positive errors def __init__(self, value: _T = ...) -> None: ... # pyright: ignore[reportInvalidTypeVarUse] def __ctypes_from_outparam__(self, /) -> _T: ... # type: ignore[override] @type_check_only class _CanCastTo(_CData): ... @type_check_only class _PointerLike(_CanCastTo): ... # This type is not exposed. It calls itself _ctypes.PyCPointerType. @type_check_only class _PyCPointerType(_CTypeBaseType): def from_address(self: type[_typeshed.Self], value: int, /) -> _typeshed.Self: ... def from_buffer(self: type[_typeshed.Self], obj: WriteableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_buffer_copy(self: type[_typeshed.Self], buffer: ReadableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_param(self: type[_typeshed.Self], value: Any, /) -> _typeshed.Self | _CArgObject: ... def in_dll(self: type[_typeshed.Self], dll: CDLL, name: str, /) -> _typeshed.Self: ... def set_type(self, type: _CTypeBaseType, /) -> None: ... if sys.version_info < (3, 13): # Inherited from CType_Type starting on 3.13 def __mul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __rmul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] class _Pointer(_PointerLike, _CData, Generic[_CT], metaclass=_PyCPointerType): _type_: type[_CT] contents: _CT @overload def __init__(self) -> None: ... @overload def __init__(self, arg: _CT) -> None: ... @overload def __getitem__(self, key: int, /) -> Any: ... @overload def __getitem__(self, key: slice, /) -> list[Any]: ... def __setitem__(self, key: int, value: Any, /) -> None: ... if sys.version_info < (3, 14): @overload def POINTER(type: None, /) -> type[c_void_p]: ... @overload def POINTER(type: type[_CT], /) -> type[_Pointer[_CT]]: ... def pointer(obj: _CT, /) -> _Pointer[_CT]: ... # This class is not exposed. It calls itself _ctypes.CArgObject. @final @type_check_only class _CArgObject: ... if sys.version_info >= (3, 14): def byref(obj: _CData | _CDataType, offset: int = 0, /) -> _CArgObject: ... else: def byref(obj: _CData | _CDataType, offset: int = 0) -> _CArgObject: ... _ECT: TypeAlias = Callable[[_CData | _CDataType | None, CFuncPtr, tuple[_CData | _CDataType, ...]], _CDataType] _PF: TypeAlias = tuple[int] | tuple[int, str | None] | tuple[int, str | None, Any] # This class is not exposed. It calls itself _ctypes.PyCFuncPtrType. @type_check_only class _PyCFuncPtrType(_CTypeBaseType): def from_address(self: type[_typeshed.Self], value: int, /) -> _typeshed.Self: ... def from_buffer(self: type[_typeshed.Self], obj: WriteableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_buffer_copy(self: type[_typeshed.Self], buffer: ReadableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_param(self: type[_typeshed.Self], value: Any, /) -> _typeshed.Self | _CArgObject: ... def in_dll(self: type[_typeshed.Self], dll: CDLL, name: str, /) -> _typeshed.Self: ... if sys.version_info < (3, 13): # Inherited from CType_Type starting on 3.13 def __mul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __rmul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] class CFuncPtr(_PointerLike, _CData, metaclass=_PyCFuncPtrType): restype: type[_CDataType] | Callable[[int], Any] | None argtypes: Sequence[type[_CDataType]] errcheck: _ECT # Abstract attribute that must be defined on subclasses _flags_: ClassVar[int] @overload def __new__(cls) -> Self: ... @overload def __new__(cls, address: int, /) -> Self: ... @overload def __new__(cls, callable: Callable[..., Any], /) -> Self: ... @overload def __new__(cls, func_spec: tuple[str | int, CDLL], paramflags: tuple[_PF, ...] | None = ..., /) -> Self: ... if sys.platform == "win32": @overload def __new__( cls, vtbl_index: int, name: str, paramflags: tuple[_PF, ...] | None = ..., iid: _CData | _CDataType | None = ..., / ) -> Self: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... _GetT = TypeVar("_GetT") _SetT = TypeVar("_SetT") # This class is not exposed. It calls itself _ctypes.CField. @final @type_check_only class _CField(Generic[_CT, _GetT, _SetT]): offset: int size: int if sys.version_info >= (3, 10): @overload def __get__(self, instance: None, owner: type[Any] | None = None, /) -> Self: ... @overload def __get__(self, instance: Any, owner: type[Any] | None = None, /) -> _GetT: ... else: @overload def __get__(self, instance: None, owner: type[Any] | None, /) -> Self: ... @overload def __get__(self, instance: Any, owner: type[Any] | None, /) -> _GetT: ... def __set__(self, instance: Any, value: _SetT, /) -> None: ... # This class is not exposed. It calls itself _ctypes.UnionType. @type_check_only class _UnionType(_CTypeBaseType): def from_address(self: type[_typeshed.Self], value: int, /) -> _typeshed.Self: ... def from_buffer(self: type[_typeshed.Self], obj: WriteableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_buffer_copy(self: type[_typeshed.Self], buffer: ReadableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_param(self: type[_typeshed.Self], value: Any, /) -> _typeshed.Self | _CArgObject: ... def in_dll(self: type[_typeshed.Self], dll: CDLL, name: str, /) -> _typeshed.Self: ... # At runtime, various attributes are created on a Union subclass based # on its _fields_. This method doesn't exist, but represents those # dynamically created attributes. def __getattr__(self, name: str) -> _CField[Any, Any, Any]: ... if sys.version_info < (3, 13): # Inherited from CType_Type starting on 3.13 def __mul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __rmul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] class Union(_CData, metaclass=_UnionType): _fields_: ClassVar[Sequence[tuple[str, type[_CDataType]] | tuple[str, type[_CDataType], int]]] _pack_: ClassVar[int] _anonymous_: ClassVar[Sequence[str]] if sys.version_info >= (3, 13): _align_: ClassVar[int] def __init__(self, *args: Any, **kw: Any) -> None: ... def __getattr__(self, name: str) -> Any: ... def __setattr__(self, name: str, value: Any) -> None: ... # This class is not exposed. It calls itself _ctypes.PyCStructType. @type_check_only class _PyCStructType(_CTypeBaseType): def from_address(self: type[_typeshed.Self], value: int, /) -> _typeshed.Self: ... def from_buffer(self: type[_typeshed.Self], obj: WriteableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_buffer_copy(self: type[_typeshed.Self], buffer: ReadableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_param(self: type[_typeshed.Self], value: Any, /) -> _typeshed.Self | _CArgObject: ... def in_dll(self: type[_typeshed.Self], dll: CDLL, name: str, /) -> _typeshed.Self: ... # At runtime, various attributes are created on a Structure subclass based # on its _fields_. This method doesn't exist, but represents those # dynamically created attributes. def __getattr__(self, name: str) -> _CField[Any, Any, Any]: ... if sys.version_info < (3, 13): # Inherited from CType_Type starting on 3.13 def __mul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __rmul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] class Structure(_CData, metaclass=_PyCStructType): _fields_: ClassVar[Sequence[tuple[str, type[_CDataType]] | tuple[str, type[_CDataType], int]]] _pack_: ClassVar[int] _anonymous_: ClassVar[Sequence[str]] if sys.version_info >= (3, 13): _align_: ClassVar[int] def __init__(self, *args: Any, **kw: Any) -> None: ... def __getattr__(self, name: str) -> Any: ... def __setattr__(self, name: str, value: Any) -> None: ... # This class is not exposed. It calls itself _ctypes.PyCArrayType. @type_check_only class _PyCArrayType(_CTypeBaseType): def from_address(self: type[_typeshed.Self], value: int, /) -> _typeshed.Self: ... def from_buffer(self: type[_typeshed.Self], obj: WriteableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_buffer_copy(self: type[_typeshed.Self], buffer: ReadableBuffer, offset: int = 0, /) -> _typeshed.Self: ... def from_param(self: type[_typeshed.Self], value: Any, /) -> _typeshed.Self | _CArgObject: ... def in_dll(self: type[_typeshed.Self], dll: CDLL, name: str, /) -> _typeshed.Self: ... if sys.version_info < (3, 13): # Inherited from CType_Type starting on 3.13 def __mul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __rmul__(cls: type[_CT], other: int) -> type[Array[_CT]]: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] class Array(_CData, Generic[_CT], metaclass=_PyCArrayType): @property @abstractmethod def _length_(self) -> int: ... @_length_.setter def _length_(self, value: int) -> None: ... @property @abstractmethod def _type_(self) -> type[_CT]: ... @_type_.setter def _type_(self, value: type[_CT]) -> None: ... raw: bytes # Note: only available if _CT == c_char value: Any # Note: bytes if _CT == c_char, str if _CT == c_wchar, unavailable otherwise # TODO: These methods cannot be annotated correctly at the moment. # All of these "Any"s stand for the array's element type, but it's not possible to use _CT # here, because of a special feature of ctypes. # By default, when accessing an element of an Array[_CT], the returned object has type _CT. # However, when _CT is a "simple type" like c_int, ctypes automatically "unboxes" the object # and converts it to the corresponding Python primitive. For example, when accessing an element # of an Array[c_int], a Python int object is returned, not a c_int. # This behavior does *not* apply to subclasses of "simple types". # If MyInt is a subclass of c_int, then accessing an element of an Array[MyInt] returns # a MyInt, not an int. # This special behavior is not easy to model in a stub, so for now all places where # the array element type would belong are annotated with Any instead. def __init__(self, *args: Any) -> None: ... @overload def __getitem__(self, key: int, /) -> Any: ... @overload def __getitem__(self, key: slice, /) -> list[Any]: ... @overload def __setitem__(self, key: int, value: Any, /) -> None: ... @overload def __setitem__(self, key: slice, value: Iterable[Any], /) -> None: ... def __iter__(self) -> Iterator[Any]: ... # Can't inherit from Sized because the metaclass conflict between # Sized and _CData prevents using _CDataMeta. def __len__(self) -> int: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def addressof(obj: _CData | _CDataType, /) -> int: ... def alignment(obj_or_type: _CData | _CDataType | type[_CData | _CDataType], /) -> int: ... def get_errno() -> int: ... def resize(obj: _CData | _CDataType, size: int, /) -> None: ... def set_errno(value: int, /) -> int: ... def sizeof(obj_or_type: _CData | _CDataType | type[_CData | _CDataType], /) -> int: ... def PyObj_FromPtr(address: int, /) -> Any: ... def Py_DECREF(o: _T, /) -> _T: ... def Py_INCREF(o: _T, /) -> _T: ... def buffer_info(o: _CData | _CDataType | type[_CData | _CDataType], /) -> tuple[str, int, tuple[int, ...]]: ... def call_cdeclfunction(address: int, arguments: tuple[Any, ...], /) -> Any: ... def call_function(address: int, arguments: tuple[Any, ...], /) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_curses.pyi0000644000175100017510000004072615112307767020562 0ustar00runnerrunnerimport sys from _typeshed import ReadOnlyBuffer, SupportsRead, SupportsWrite from curses import _ncurses_version from typing import Any, Final, final, overload from typing_extensions import TypeAlias # NOTE: This module is ordinarily only available on Unix, but the windows-curses # package makes it available on Windows as well with the same contents. # Handled by PyCurses_ConvertToChtype in _cursesmodule.c. _ChType: TypeAlias = str | bytes | int # ACS codes are only initialized after initscr is called ACS_BBSS: Final[int] ACS_BLOCK: Final[int] ACS_BOARD: Final[int] ACS_BSBS: Final[int] ACS_BSSB: Final[int] ACS_BSSS: Final[int] ACS_BTEE: Final[int] ACS_BULLET: Final[int] ACS_CKBOARD: Final[int] ACS_DARROW: Final[int] ACS_DEGREE: Final[int] ACS_DIAMOND: Final[int] ACS_GEQUAL: Final[int] ACS_HLINE: Final[int] ACS_LANTERN: Final[int] ACS_LARROW: Final[int] ACS_LEQUAL: Final[int] ACS_LLCORNER: Final[int] ACS_LRCORNER: Final[int] ACS_LTEE: Final[int] ACS_NEQUAL: Final[int] ACS_PI: Final[int] ACS_PLMINUS: Final[int] ACS_PLUS: Final[int] ACS_RARROW: Final[int] ACS_RTEE: Final[int] ACS_S1: Final[int] ACS_S3: Final[int] ACS_S7: Final[int] ACS_S9: Final[int] ACS_SBBS: Final[int] ACS_SBSB: Final[int] ACS_SBSS: Final[int] ACS_SSBB: Final[int] ACS_SSBS: Final[int] ACS_SSSB: Final[int] ACS_SSSS: Final[int] ACS_STERLING: Final[int] ACS_TTEE: Final[int] ACS_UARROW: Final[int] ACS_ULCORNER: Final[int] ACS_URCORNER: Final[int] ACS_VLINE: Final[int] ALL_MOUSE_EVENTS: Final[int] A_ALTCHARSET: Final[int] A_ATTRIBUTES: Final[int] A_BLINK: Final[int] A_BOLD: Final[int] A_CHARTEXT: Final[int] A_COLOR: Final[int] A_DIM: Final[int] A_HORIZONTAL: Final[int] A_INVIS: Final[int] A_ITALIC: Final[int] A_LEFT: Final[int] A_LOW: Final[int] A_NORMAL: Final[int] A_PROTECT: Final[int] A_REVERSE: Final[int] A_RIGHT: Final[int] A_STANDOUT: Final[int] A_TOP: Final[int] A_UNDERLINE: Final[int] A_VERTICAL: Final[int] BUTTON1_CLICKED: Final[int] BUTTON1_DOUBLE_CLICKED: Final[int] BUTTON1_PRESSED: Final[int] BUTTON1_RELEASED: Final[int] BUTTON1_TRIPLE_CLICKED: Final[int] BUTTON2_CLICKED: Final[int] BUTTON2_DOUBLE_CLICKED: Final[int] BUTTON2_PRESSED: Final[int] BUTTON2_RELEASED: Final[int] BUTTON2_TRIPLE_CLICKED: Final[int] BUTTON3_CLICKED: Final[int] BUTTON3_DOUBLE_CLICKED: Final[int] BUTTON3_PRESSED: Final[int] BUTTON3_RELEASED: Final[int] BUTTON3_TRIPLE_CLICKED: Final[int] BUTTON4_CLICKED: Final[int] BUTTON4_DOUBLE_CLICKED: Final[int] BUTTON4_PRESSED: Final[int] BUTTON4_RELEASED: Final[int] BUTTON4_TRIPLE_CLICKED: Final[int] # Darwin ncurses doesn't provide BUTTON5_* constants prior to 3.12.10 and 3.13.3 if sys.version_info >= (3, 10): if sys.version_info >= (3, 12) or sys.platform != "darwin": BUTTON5_PRESSED: Final[int] BUTTON5_RELEASED: Final[int] BUTTON5_CLICKED: Final[int] BUTTON5_DOUBLE_CLICKED: Final[int] BUTTON5_TRIPLE_CLICKED: Final[int] BUTTON_ALT: Final[int] BUTTON_CTRL: Final[int] BUTTON_SHIFT: Final[int] COLOR_BLACK: Final[int] COLOR_BLUE: Final[int] COLOR_CYAN: Final[int] COLOR_GREEN: Final[int] COLOR_MAGENTA: Final[int] COLOR_RED: Final[int] COLOR_WHITE: Final[int] COLOR_YELLOW: Final[int] ERR: Final[int] KEY_A1: Final[int] KEY_A3: Final[int] KEY_B2: Final[int] KEY_BACKSPACE: Final[int] KEY_BEG: Final[int] KEY_BREAK: Final[int] KEY_BTAB: Final[int] KEY_C1: Final[int] KEY_C3: Final[int] KEY_CANCEL: Final[int] KEY_CATAB: Final[int] KEY_CLEAR: Final[int] KEY_CLOSE: Final[int] KEY_COMMAND: Final[int] KEY_COPY: Final[int] KEY_CREATE: Final[int] KEY_CTAB: Final[int] KEY_DC: Final[int] KEY_DL: Final[int] KEY_DOWN: Final[int] KEY_EIC: Final[int] KEY_END: Final[int] KEY_ENTER: Final[int] KEY_EOL: Final[int] KEY_EOS: Final[int] KEY_EXIT: Final[int] KEY_F0: Final[int] KEY_F1: Final[int] KEY_F10: Final[int] KEY_F11: Final[int] KEY_F12: Final[int] KEY_F13: Final[int] KEY_F14: Final[int] KEY_F15: Final[int] KEY_F16: Final[int] KEY_F17: Final[int] KEY_F18: Final[int] KEY_F19: Final[int] KEY_F2: Final[int] KEY_F20: Final[int] KEY_F21: Final[int] KEY_F22: Final[int] KEY_F23: Final[int] KEY_F24: Final[int] KEY_F25: Final[int] KEY_F26: Final[int] KEY_F27: Final[int] KEY_F28: Final[int] KEY_F29: Final[int] KEY_F3: Final[int] KEY_F30: Final[int] KEY_F31: Final[int] KEY_F32: Final[int] KEY_F33: Final[int] KEY_F34: Final[int] KEY_F35: Final[int] KEY_F36: Final[int] KEY_F37: Final[int] KEY_F38: Final[int] KEY_F39: Final[int] KEY_F4: Final[int] KEY_F40: Final[int] KEY_F41: Final[int] KEY_F42: Final[int] KEY_F43: Final[int] KEY_F44: Final[int] KEY_F45: Final[int] KEY_F46: Final[int] KEY_F47: Final[int] KEY_F48: Final[int] KEY_F49: Final[int] KEY_F5: Final[int] KEY_F50: Final[int] KEY_F51: Final[int] KEY_F52: Final[int] KEY_F53: Final[int] KEY_F54: Final[int] KEY_F55: Final[int] KEY_F56: Final[int] KEY_F57: Final[int] KEY_F58: Final[int] KEY_F59: Final[int] KEY_F6: Final[int] KEY_F60: Final[int] KEY_F61: Final[int] KEY_F62: Final[int] KEY_F63: Final[int] KEY_F7: Final[int] KEY_F8: Final[int] KEY_F9: Final[int] KEY_FIND: Final[int] KEY_HELP: Final[int] KEY_HOME: Final[int] KEY_IC: Final[int] KEY_IL: Final[int] KEY_LEFT: Final[int] KEY_LL: Final[int] KEY_MARK: Final[int] KEY_MAX: Final[int] KEY_MESSAGE: Final[int] KEY_MIN: Final[int] KEY_MOUSE: Final[int] KEY_MOVE: Final[int] KEY_NEXT: Final[int] KEY_NPAGE: Final[int] KEY_OPEN: Final[int] KEY_OPTIONS: Final[int] KEY_PPAGE: Final[int] KEY_PREVIOUS: Final[int] KEY_PRINT: Final[int] KEY_REDO: Final[int] KEY_REFERENCE: Final[int] KEY_REFRESH: Final[int] KEY_REPLACE: Final[int] KEY_RESET: Final[int] KEY_RESIZE: Final[int] KEY_RESTART: Final[int] KEY_RESUME: Final[int] KEY_RIGHT: Final[int] KEY_SAVE: Final[int] KEY_SBEG: Final[int] KEY_SCANCEL: Final[int] KEY_SCOMMAND: Final[int] KEY_SCOPY: Final[int] KEY_SCREATE: Final[int] KEY_SDC: Final[int] KEY_SDL: Final[int] KEY_SELECT: Final[int] KEY_SEND: Final[int] KEY_SEOL: Final[int] KEY_SEXIT: Final[int] KEY_SF: Final[int] KEY_SFIND: Final[int] KEY_SHELP: Final[int] KEY_SHOME: Final[int] KEY_SIC: Final[int] KEY_SLEFT: Final[int] KEY_SMESSAGE: Final[int] KEY_SMOVE: Final[int] KEY_SNEXT: Final[int] KEY_SOPTIONS: Final[int] KEY_SPREVIOUS: Final[int] KEY_SPRINT: Final[int] KEY_SR: Final[int] KEY_SREDO: Final[int] KEY_SREPLACE: Final[int] KEY_SRESET: Final[int] KEY_SRIGHT: Final[int] KEY_SRSUME: Final[int] KEY_SSAVE: Final[int] KEY_SSUSPEND: Final[int] KEY_STAB: Final[int] KEY_SUNDO: Final[int] KEY_SUSPEND: Final[int] KEY_UNDO: Final[int] KEY_UP: Final[int] OK: Final[int] REPORT_MOUSE_POSITION: Final[int] _C_API: Any version: Final[bytes] def baudrate() -> int: ... def beep() -> None: ... def can_change_color() -> bool: ... def cbreak(flag: bool = True, /) -> None: ... def color_content(color_number: int, /) -> tuple[int, int, int]: ... def color_pair(pair_number: int, /) -> int: ... def curs_set(visibility: int, /) -> int: ... def def_prog_mode() -> None: ... def def_shell_mode() -> None: ... def delay_output(ms: int, /) -> None: ... def doupdate() -> None: ... def echo(flag: bool = True, /) -> None: ... def endwin() -> None: ... def erasechar() -> bytes: ... def filter() -> None: ... def flash() -> None: ... def flushinp() -> None: ... def get_escdelay() -> int: ... def get_tabsize() -> int: ... def getmouse() -> tuple[int, int, int, int, int]: ... def getsyx() -> tuple[int, int]: ... def getwin(file: SupportsRead[bytes], /) -> window: ... def halfdelay(tenths: int, /) -> None: ... def has_colors() -> bool: ... if sys.version_info >= (3, 10): def has_extended_color_support() -> bool: ... if sys.version_info >= (3, 14): def assume_default_colors(fg: int, bg: int, /) -> None: ... def has_ic() -> bool: ... def has_il() -> bool: ... def has_key(key: int, /) -> bool: ... def init_color(color_number: int, r: int, g: int, b: int, /) -> None: ... def init_pair(pair_number: int, fg: int, bg: int, /) -> None: ... def initscr() -> window: ... def intrflush(flag: bool, /) -> None: ... def is_term_resized(nlines: int, ncols: int, /) -> bool: ... def isendwin() -> bool: ... def keyname(key: int, /) -> bytes: ... def killchar() -> bytes: ... def longname() -> bytes: ... def meta(yes: bool, /) -> None: ... def mouseinterval(interval: int, /) -> None: ... def mousemask(newmask: int, /) -> tuple[int, int]: ... def napms(ms: int, /) -> int: ... def newpad(nlines: int, ncols: int, /) -> window: ... def newwin(nlines: int, ncols: int, begin_y: int = 0, begin_x: int = 0, /) -> window: ... def nl(flag: bool = True, /) -> None: ... def nocbreak() -> None: ... def noecho() -> None: ... def nonl() -> None: ... def noqiflush() -> None: ... def noraw() -> None: ... def pair_content(pair_number: int, /) -> tuple[int, int]: ... def pair_number(attr: int, /) -> int: ... def putp(string: ReadOnlyBuffer, /) -> None: ... def qiflush(flag: bool = True, /) -> None: ... def raw(flag: bool = True, /) -> None: ... def reset_prog_mode() -> None: ... def reset_shell_mode() -> None: ... def resetty() -> None: ... def resize_term(nlines: int, ncols: int, /) -> None: ... def resizeterm(nlines: int, ncols: int, /) -> None: ... def savetty() -> None: ... def set_escdelay(ms: int, /) -> None: ... def set_tabsize(size: int, /) -> None: ... def setsyx(y: int, x: int, /) -> None: ... def setupterm(term: str | None = None, fd: int = -1) -> None: ... def start_color() -> None: ... def termattrs() -> int: ... def termname() -> bytes: ... def tigetflag(capname: str, /) -> int: ... def tigetnum(capname: str, /) -> int: ... def tigetstr(capname: str, /) -> bytes | None: ... def tparm( str: ReadOnlyBuffer, i1: int = 0, i2: int = 0, i3: int = 0, i4: int = 0, i5: int = 0, i6: int = 0, i7: int = 0, i8: int = 0, i9: int = 0, /, ) -> bytes: ... def typeahead(fd: int, /) -> None: ... def unctrl(ch: _ChType, /) -> bytes: ... def unget_wch(ch: int | str, /) -> None: ... def ungetch(ch: _ChType, /) -> None: ... def ungetmouse(id: int, x: int, y: int, z: int, bstate: int, /) -> None: ... def update_lines_cols() -> None: ... def use_default_colors() -> None: ... def use_env(flag: bool, /) -> None: ... class error(Exception): ... @final class window: # undocumented encoding: str @overload def addch(self, ch: _ChType, attr: int = ...) -> None: ... @overload def addch(self, y: int, x: int, ch: _ChType, attr: int = ...) -> None: ... @overload def addnstr(self, str: str, n: int, attr: int = ...) -> None: ... @overload def addnstr(self, y: int, x: int, str: str, n: int, attr: int = ...) -> None: ... @overload def addstr(self, str: str, attr: int = ...) -> None: ... @overload def addstr(self, y: int, x: int, str: str, attr: int = ...) -> None: ... def attroff(self, attr: int, /) -> None: ... def attron(self, attr: int, /) -> None: ... def attrset(self, attr: int, /) -> None: ... def bkgd(self, ch: _ChType, attr: int = 0, /) -> None: ... def bkgdset(self, ch: _ChType, attr: int = 0, /) -> None: ... def border( self, ls: _ChType = ..., rs: _ChType = ..., ts: _ChType = ..., bs: _ChType = ..., tl: _ChType = ..., tr: _ChType = ..., bl: _ChType = ..., br: _ChType = ..., ) -> None: ... @overload def box(self) -> None: ... @overload def box(self, vertch: _ChType = 0, horch: _ChType = 0) -> None: ... @overload def chgat(self, attr: int) -> None: ... @overload def chgat(self, num: int, attr: int) -> None: ... @overload def chgat(self, y: int, x: int, attr: int) -> None: ... @overload def chgat(self, y: int, x: int, num: int, attr: int) -> None: ... def clear(self) -> None: ... def clearok(self, yes: int) -> None: ... def clrtobot(self) -> None: ... def clrtoeol(self) -> None: ... def cursyncup(self) -> None: ... @overload def delch(self) -> None: ... @overload def delch(self, y: int, x: int) -> None: ... def deleteln(self) -> None: ... @overload def derwin(self, begin_y: int, begin_x: int) -> window: ... @overload def derwin(self, nlines: int, ncols: int, begin_y: int, begin_x: int) -> window: ... def echochar(self, ch: _ChType, attr: int = 0, /) -> None: ... def enclose(self, y: int, x: int, /) -> bool: ... def erase(self) -> None: ... def getbegyx(self) -> tuple[int, int]: ... def getbkgd(self) -> tuple[int, int]: ... @overload def getch(self) -> int: ... @overload def getch(self, y: int, x: int) -> int: ... @overload def get_wch(self) -> int | str: ... @overload def get_wch(self, y: int, x: int) -> int | str: ... @overload def getkey(self) -> str: ... @overload def getkey(self, y: int, x: int) -> str: ... def getmaxyx(self) -> tuple[int, int]: ... def getparyx(self) -> tuple[int, int]: ... @overload def getstr(self) -> bytes: ... @overload def getstr(self, n: int) -> bytes: ... @overload def getstr(self, y: int, x: int) -> bytes: ... @overload def getstr(self, y: int, x: int, n: int) -> bytes: ... def getyx(self) -> tuple[int, int]: ... @overload def hline(self, ch: _ChType, n: int) -> None: ... @overload def hline(self, y: int, x: int, ch: _ChType, n: int) -> None: ... def idcok(self, flag: bool) -> None: ... def idlok(self, yes: bool) -> None: ... def immedok(self, flag: bool) -> None: ... @overload def inch(self) -> int: ... @overload def inch(self, y: int, x: int) -> int: ... @overload def insch(self, ch: _ChType, attr: int = ...) -> None: ... @overload def insch(self, y: int, x: int, ch: _ChType, attr: int = ...) -> None: ... def insdelln(self, nlines: int) -> None: ... def insertln(self) -> None: ... @overload def insnstr(self, str: str, n: int, attr: int = ...) -> None: ... @overload def insnstr(self, y: int, x: int, str: str, n: int, attr: int = ...) -> None: ... @overload def insstr(self, str: str, attr: int = ...) -> None: ... @overload def insstr(self, y: int, x: int, str: str, attr: int = ...) -> None: ... @overload def instr(self, n: int = 2047) -> bytes: ... @overload def instr(self, y: int, x: int, n: int = 2047) -> bytes: ... def is_linetouched(self, line: int, /) -> bool: ... def is_wintouched(self) -> bool: ... def keypad(self, yes: bool, /) -> None: ... def leaveok(self, yes: bool) -> None: ... def move(self, new_y: int, new_x: int) -> None: ... def mvderwin(self, y: int, x: int) -> None: ... def mvwin(self, new_y: int, new_x: int) -> None: ... def nodelay(self, yes: bool) -> None: ... def notimeout(self, yes: bool) -> None: ... @overload def noutrefresh(self) -> None: ... @overload def noutrefresh(self, pminrow: int, pmincol: int, sminrow: int, smincol: int, smaxrow: int, smaxcol: int) -> None: ... @overload def overlay(self, destwin: window) -> None: ... @overload def overlay( self, destwin: window, sminrow: int, smincol: int, dminrow: int, dmincol: int, dmaxrow: int, dmaxcol: int ) -> None: ... @overload def overwrite(self, destwin: window) -> None: ... @overload def overwrite( self, destwin: window, sminrow: int, smincol: int, dminrow: int, dmincol: int, dmaxrow: int, dmaxcol: int ) -> None: ... def putwin(self, file: SupportsWrite[bytes], /) -> None: ... def redrawln(self, beg: int, num: int, /) -> None: ... def redrawwin(self) -> None: ... @overload def refresh(self) -> None: ... @overload def refresh(self, pminrow: int, pmincol: int, sminrow: int, smincol: int, smaxrow: int, smaxcol: int) -> None: ... def resize(self, nlines: int, ncols: int) -> None: ... def scroll(self, lines: int = 1) -> None: ... def scrollok(self, flag: bool) -> None: ... def setscrreg(self, top: int, bottom: int, /) -> None: ... def standend(self) -> None: ... def standout(self) -> None: ... @overload def subpad(self, begin_y: int, begin_x: int) -> window: ... @overload def subpad(self, nlines: int, ncols: int, begin_y: int, begin_x: int) -> window: ... @overload def subwin(self, begin_y: int, begin_x: int) -> window: ... @overload def subwin(self, nlines: int, ncols: int, begin_y: int, begin_x: int) -> window: ... def syncdown(self) -> None: ... def syncok(self, flag: bool) -> None: ... def syncup(self) -> None: ... def timeout(self, delay: int) -> None: ... def touchline(self, start: int, count: int, changed: bool = True) -> None: ... def touchwin(self) -> None: ... def untouchwin(self) -> None: ... @overload def vline(self, ch: _ChType, n: int) -> None: ... @overload def vline(self, y: int, x: int, ch: _ChType, n: int) -> None: ... ncurses_version: _ncurses_version ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_curses_panel.pyi0000644000175100017510000000136515112307767021735 0ustar00runnerrunnerfrom _curses import window from typing import Final, final __version__: Final[str] version: Final[str] class error(Exception): ... @final class panel: def above(self) -> panel: ... def below(self) -> panel: ... def bottom(self) -> None: ... def hidden(self) -> bool: ... def hide(self) -> None: ... def move(self, y: int, x: int, /) -> None: ... def replace(self, win: window, /) -> None: ... def set_userptr(self, obj: object, /) -> None: ... def show(self) -> None: ... def top(self) -> None: ... def userptr(self) -> object: ... def window(self) -> window: ... def bottom_panel() -> panel: ... def new_panel(win: window, /) -> panel: ... def top_panel() -> panel: ... def update_panels() -> panel: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_dbm.pyi0000644000175100017510000000335715112307767020017 0ustar00runnerrunnerimport sys from _typeshed import ReadOnlyBuffer, StrOrBytesPath from types import TracebackType from typing import Final, TypeVar, final, overload, type_check_only from typing_extensions import Self, TypeAlias if sys.platform != "win32": _T = TypeVar("_T") _KeyType: TypeAlias = str | ReadOnlyBuffer _ValueType: TypeAlias = str | ReadOnlyBuffer class error(OSError): ... library: Final[str] # Actual typename dbm, not exposed by the implementation @final @type_check_only class _dbm: def close(self) -> None: ... if sys.version_info >= (3, 13): def clear(self) -> None: ... def __getitem__(self, item: _KeyType) -> bytes: ... def __setitem__(self, key: _KeyType, value: _ValueType) -> None: ... def __delitem__(self, key: _KeyType) -> None: ... def __len__(self) -> int: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... @overload def get(self, k: _KeyType, /) -> bytes | None: ... @overload def get(self, k: _KeyType, default: _T, /) -> bytes | _T: ... def keys(self) -> list[bytes]: ... def setdefault(self, k: _KeyType, default: _ValueType = b"", /) -> bytes: ... # This isn't true, but the class can't be instantiated. See #13024 __new__: None # type: ignore[assignment] __init__: None # type: ignore[assignment] if sys.version_info >= (3, 11): def open(filename: StrOrBytesPath, flags: str = "r", mode: int = 0o666, /) -> _dbm: ... else: def open(filename: str, flags: str = "r", mode: int = 0o666, /) -> _dbm: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_decimal.pyi0000644000175100017510000000401215112307767020640 0ustar00runnerrunnerimport sys from decimal import ( Clamped as Clamped, Context as Context, ConversionSyntax as ConversionSyntax, Decimal as Decimal, DecimalException as DecimalException, DecimalTuple as DecimalTuple, DivisionByZero as DivisionByZero, DivisionImpossible as DivisionImpossible, DivisionUndefined as DivisionUndefined, FloatOperation as FloatOperation, Inexact as Inexact, InvalidContext as InvalidContext, InvalidOperation as InvalidOperation, Overflow as Overflow, Rounded as Rounded, Subnormal as Subnormal, Underflow as Underflow, _ContextManager, ) from typing import Final from typing_extensions import TypeAlias _TrapType: TypeAlias = type[DecimalException] __version__: Final[str] __libmpdec_version__: Final[str] ROUND_DOWN: Final = "ROUND_DOWN" ROUND_HALF_UP: Final = "ROUND_HALF_UP" ROUND_HALF_EVEN: Final = "ROUND_HALF_EVEN" ROUND_CEILING: Final = "ROUND_CEILING" ROUND_FLOOR: Final = "ROUND_FLOOR" ROUND_UP: Final = "ROUND_UP" ROUND_HALF_DOWN: Final = "ROUND_HALF_DOWN" ROUND_05UP: Final = "ROUND_05UP" HAVE_CONTEXTVAR: Final[bool] HAVE_THREADS: Final[bool] MAX_EMAX: Final[int] MAX_PREC: Final[int] MIN_EMIN: Final[int] MIN_ETINY: Final[int] if sys.version_info >= (3, 14): IEEE_CONTEXT_MAX_BITS: Final[int] def setcontext(context: Context, /) -> None: ... def getcontext() -> Context: ... if sys.version_info >= (3, 11): def localcontext( ctx: Context | None = None, *, prec: int | None = None, rounding: str | None = None, Emin: int | None = None, Emax: int | None = None, capitals: int | None = None, clamp: int | None = None, traps: dict[_TrapType, bool] | None = None, flags: dict[_TrapType, bool] | None = None, ) -> _ContextManager: ... else: def localcontext(ctx: Context | None = None) -> _ContextManager: ... if sys.version_info >= (3, 14): def IEEEContext(bits: int, /) -> Context: ... DefaultContext: Context BasicContext: Context ExtendedContext: Context ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_frozen_importlib.pyi0000644000175100017510000001110715112307767022631 0ustar00runnerrunnerimport importlib.abc import importlib.machinery import sys import types from _typeshed.importlib import LoaderProtocol from collections.abc import Mapping, Sequence from types import ModuleType from typing import Any, ClassVar from typing_extensions import deprecated # Signature of `builtins.__import__` should be kept identical to `importlib.__import__` def __import__( name: str, globals: Mapping[str, object] | None = None, locals: Mapping[str, object] | None = None, fromlist: Sequence[str] | None = (), level: int = 0, ) -> ModuleType: ... def spec_from_loader( name: str, loader: LoaderProtocol | None, *, origin: str | None = None, is_package: bool | None = None ) -> importlib.machinery.ModuleSpec | None: ... def module_from_spec(spec: importlib.machinery.ModuleSpec) -> types.ModuleType: ... def _init_module_attrs( spec: importlib.machinery.ModuleSpec, module: types.ModuleType, *, override: bool = False ) -> types.ModuleType: ... class ModuleSpec: def __init__( self, name: str, loader: importlib.abc.Loader | None, *, origin: str | None = None, loader_state: Any = None, is_package: bool | None = None, ) -> None: ... name: str loader: importlib.abc.Loader | None origin: str | None submodule_search_locations: list[str] | None loader_state: Any cached: str | None @property def parent(self) -> str | None: ... has_location: bool def __eq__(self, other: object) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] class BuiltinImporter(importlib.abc.MetaPathFinder, importlib.abc.InspectLoader): # MetaPathFinder if sys.version_info < (3, 12): @classmethod @deprecated("Deprecated since Python 3.4; removed in Python 3.12. Use `find_spec()` instead.") def find_module(cls, fullname: str, path: Sequence[str] | None = None) -> importlib.abc.Loader | None: ... @classmethod def find_spec( cls, fullname: str, path: Sequence[str] | None = None, target: types.ModuleType | None = None ) -> ModuleSpec | None: ... # InspectLoader @classmethod def is_package(cls, fullname: str) -> bool: ... @classmethod def load_module(cls, fullname: str) -> types.ModuleType: ... @classmethod def get_code(cls, fullname: str) -> None: ... @classmethod def get_source(cls, fullname: str) -> None: ... # Loader if sys.version_info < (3, 12): @staticmethod @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "The module spec is now used by the import machinery to generate a module repr." ) def module_repr(module: types.ModuleType) -> str: ... if sys.version_info >= (3, 10): @staticmethod def create_module(spec: ModuleSpec) -> types.ModuleType | None: ... @staticmethod def exec_module(module: types.ModuleType) -> None: ... else: @classmethod def create_module(cls, spec: ModuleSpec) -> types.ModuleType | None: ... @classmethod def exec_module(cls, module: types.ModuleType) -> None: ... class FrozenImporter(importlib.abc.MetaPathFinder, importlib.abc.InspectLoader): # MetaPathFinder if sys.version_info < (3, 12): @classmethod @deprecated("Deprecated since Python 3.4; removed in Python 3.12. Use `find_spec()` instead.") def find_module(cls, fullname: str, path: Sequence[str] | None = None) -> importlib.abc.Loader | None: ... @classmethod def find_spec( cls, fullname: str, path: Sequence[str] | None = None, target: types.ModuleType | None = None ) -> ModuleSpec | None: ... # InspectLoader @classmethod def is_package(cls, fullname: str) -> bool: ... @classmethod def load_module(cls, fullname: str) -> types.ModuleType: ... @classmethod def get_code(cls, fullname: str) -> None: ... @classmethod def get_source(cls, fullname: str) -> None: ... # Loader if sys.version_info < (3, 12): @staticmethod @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "The module spec is now used by the import machinery to generate a module repr." ) def module_repr(m: types.ModuleType) -> str: ... if sys.version_info >= (3, 10): @staticmethod def create_module(spec: ModuleSpec) -> types.ModuleType | None: ... else: @classmethod def create_module(cls, spec: ModuleSpec) -> types.ModuleType | None: ... @staticmethod def exec_module(module: types.ModuleType) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_frozen_importlib_external.pyi0000644000175100017510000002217315112307767024540 0ustar00runnerrunnerimport _ast import _io import importlib.abc import importlib.machinery import sys import types from _typeshed import ReadableBuffer, StrOrBytesPath, StrPath from _typeshed.importlib import LoaderProtocol from collections.abc import Callable, Iterable, Iterator, Mapping, MutableSequence, Sequence from importlib.machinery import ModuleSpec from importlib.metadata import DistributionFinder, PathDistribution from typing import Any, Final, Literal from typing_extensions import Self, deprecated if sys.version_info >= (3, 10): import importlib.readers if sys.platform == "win32": path_separators: Literal["\\/"] path_sep: Literal["\\"] path_sep_tuple: tuple[Literal["\\"], Literal["/"]] else: path_separators: Literal["/"] path_sep: Literal["/"] path_sep_tuple: tuple[Literal["/"]] MAGIC_NUMBER: Final[bytes] def cache_from_source(path: StrPath, debug_override: bool | None = None, *, optimization: Any | None = None) -> str: ... def source_from_cache(path: StrPath) -> str: ... def decode_source(source_bytes: ReadableBuffer) -> str: ... def spec_from_file_location( name: str, location: StrOrBytesPath | None = None, *, loader: LoaderProtocol | None = None, submodule_search_locations: list[str] | None = ..., ) -> importlib.machinery.ModuleSpec | None: ... @deprecated( "Deprecated since Python 3.6. Use site configuration instead. " "Future versions of Python may not enable this finder by default." ) class WindowsRegistryFinder(importlib.abc.MetaPathFinder): if sys.version_info < (3, 12): @classmethod @deprecated("Deprecated since Python 3.4; removed in Python 3.12. Use `find_spec()` instead.") def find_module(cls, fullname: str, path: Sequence[str] | None = None) -> importlib.abc.Loader | None: ... @classmethod def find_spec( cls, fullname: str, path: Sequence[str] | None = None, target: types.ModuleType | None = None ) -> ModuleSpec | None: ... class PathFinder(importlib.abc.MetaPathFinder): if sys.version_info >= (3, 10): @staticmethod def invalidate_caches() -> None: ... else: @classmethod def invalidate_caches(cls) -> None: ... if sys.version_info >= (3, 10): @staticmethod def find_distributions(context: DistributionFinder.Context = ...) -> Iterable[PathDistribution]: ... else: @classmethod def find_distributions(cls, context: DistributionFinder.Context = ...) -> Iterable[PathDistribution]: ... @classmethod def find_spec( cls, fullname: str, path: Sequence[str] | None = None, target: types.ModuleType | None = None ) -> ModuleSpec | None: ... if sys.version_info < (3, 12): @classmethod @deprecated("Deprecated since Python 3.4; removed in Python 3.12. Use `find_spec()` instead.") def find_module(cls, fullname: str, path: Sequence[str] | None = None) -> importlib.abc.Loader | None: ... SOURCE_SUFFIXES: Final[list[str]] DEBUG_BYTECODE_SUFFIXES: Final = [".pyc"] OPTIMIZED_BYTECODE_SUFFIXES: Final = [".pyc"] BYTECODE_SUFFIXES: Final = [".pyc"] EXTENSION_SUFFIXES: Final[list[str]] class FileFinder(importlib.abc.PathEntryFinder): path: str def __init__(self, path: str, *loader_details: tuple[type[importlib.abc.Loader], list[str]]) -> None: ... @classmethod def path_hook( cls, *loader_details: tuple[type[importlib.abc.Loader], list[str]] ) -> Callable[[str], importlib.abc.PathEntryFinder]: ... class _LoaderBasics: def is_package(self, fullname: str) -> bool: ... def create_module(self, spec: ModuleSpec) -> types.ModuleType | None: ... def exec_module(self, module: types.ModuleType) -> None: ... def load_module(self, fullname: str) -> types.ModuleType: ... class SourceLoader(_LoaderBasics): def path_mtime(self, path: str) -> float: ... def set_data(self, path: str, data: bytes) -> None: ... def get_source(self, fullname: str) -> str | None: ... def path_stats(self, path: str) -> Mapping[str, Any]: ... def source_to_code( self, data: ReadableBuffer | str | _ast.Module | _ast.Expression | _ast.Interactive, path: bytes | StrPath ) -> types.CodeType: ... def get_code(self, fullname: str) -> types.CodeType | None: ... class FileLoader: name: str path: str def __init__(self, fullname: str, path: str) -> None: ... def get_data(self, path: str) -> bytes: ... def get_filename(self, fullname: str | None = None) -> str: ... def load_module(self, fullname: str | None = None) -> types.ModuleType: ... if sys.version_info >= (3, 10): def get_resource_reader(self, name: str | None = None) -> importlib.readers.FileReader: ... else: def get_resource_reader(self, name: str | None = None) -> Self | None: ... def open_resource(self, resource: str) -> _io.FileIO: ... def resource_path(self, resource: str) -> str: ... def is_resource(self, name: str) -> bool: ... def contents(self) -> Iterator[str]: ... class SourceFileLoader(importlib.abc.FileLoader, FileLoader, importlib.abc.SourceLoader, SourceLoader): # type: ignore[misc] # incompatible method arguments in base classes def set_data(self, path: str, data: ReadableBuffer, *, _mode: int = 0o666) -> None: ... def path_stats(self, path: str) -> Mapping[str, Any]: ... def source_to_code( # type: ignore[override] # incompatible with InspectLoader.source_to_code self, data: ReadableBuffer | str | _ast.Module | _ast.Expression | _ast.Interactive, path: bytes | StrPath, *, _optimize: int = -1, ) -> types.CodeType: ... class SourcelessFileLoader(importlib.abc.FileLoader, FileLoader, _LoaderBasics): def get_code(self, fullname: str) -> types.CodeType | None: ... def get_source(self, fullname: str) -> None: ... class ExtensionFileLoader(FileLoader, _LoaderBasics, importlib.abc.ExecutionLoader): def __init__(self, name: str, path: str) -> None: ... def get_filename(self, fullname: str | None = None) -> str: ... def get_source(self, fullname: str) -> None: ... def create_module(self, spec: ModuleSpec) -> types.ModuleType: ... def exec_module(self, module: types.ModuleType) -> None: ... def get_code(self, fullname: str) -> None: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... if sys.version_info >= (3, 11): class NamespaceLoader(importlib.abc.InspectLoader): def __init__( self, name: str, path: MutableSequence[str], path_finder: Callable[[str, tuple[str, ...]], ModuleSpec] ) -> None: ... def is_package(self, fullname: str) -> Literal[True]: ... def get_source(self, fullname: str) -> Literal[""]: ... def get_code(self, fullname: str) -> types.CodeType: ... def create_module(self, spec: ModuleSpec) -> None: ... def exec_module(self, module: types.ModuleType) -> None: ... @deprecated("Deprecated since Python 3.10; will be removed in Python 3.15. Use `exec_module()` instead.") def load_module(self, fullname: str) -> types.ModuleType: ... def get_resource_reader(self, module: types.ModuleType) -> importlib.readers.NamespaceReader: ... if sys.version_info < (3, 12): @staticmethod @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "The module spec is now used by the import machinery to generate a module repr." ) def module_repr(module: types.ModuleType) -> str: ... _NamespaceLoader = NamespaceLoader else: class _NamespaceLoader: def __init__( self, name: str, path: MutableSequence[str], path_finder: Callable[[str, tuple[str, ...]], ModuleSpec] ) -> None: ... def is_package(self, fullname: str) -> Literal[True]: ... def get_source(self, fullname: str) -> Literal[""]: ... def get_code(self, fullname: str) -> types.CodeType: ... def create_module(self, spec: ModuleSpec) -> None: ... def exec_module(self, module: types.ModuleType) -> None: ... if sys.version_info >= (3, 10): @deprecated("Deprecated since Python 3.10; will be removed in Python 3.15. Use `exec_module()` instead.") def load_module(self, fullname: str) -> types.ModuleType: ... @staticmethod @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "The module spec is now used by the import machinery to generate a module repr." ) def module_repr(module: types.ModuleType) -> str: ... def get_resource_reader(self, module: types.ModuleType) -> importlib.readers.NamespaceReader: ... else: def load_module(self, fullname: str) -> types.ModuleType: ... @classmethod @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "The module spec is now used by the import machinery to generate a module repr." ) def module_repr(cls, module: types.ModuleType) -> str: ... if sys.version_info >= (3, 13): class AppleFrameworkLoader(ExtensionFileLoader, importlib.abc.ExecutionLoader): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_gdbm.pyi0000644000175100017510000000363215112307767020162 0ustar00runnerrunnerimport sys from _typeshed import ReadOnlyBuffer, StrOrBytesPath from types import TracebackType from typing import TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias if sys.platform != "win32": _T = TypeVar("_T") _KeyType: TypeAlias = str | ReadOnlyBuffer _ValueType: TypeAlias = str | ReadOnlyBuffer open_flags: str class error(OSError): ... # Actual typename gdbm, not exposed by the implementation @type_check_only class _gdbm: def firstkey(self) -> bytes | None: ... def nextkey(self, key: _KeyType) -> bytes | None: ... def reorganize(self) -> None: ... def sync(self) -> None: ... def close(self) -> None: ... if sys.version_info >= (3, 13): def clear(self) -> None: ... def __getitem__(self, item: _KeyType) -> bytes: ... def __setitem__(self, key: _KeyType, value: _ValueType) -> None: ... def __delitem__(self, key: _KeyType) -> None: ... def __contains__(self, key: _KeyType) -> bool: ... def __len__(self) -> int: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... @overload def get(self, k: _KeyType) -> bytes | None: ... @overload def get(self, k: _KeyType, default: _T) -> bytes | _T: ... def keys(self) -> list[bytes]: ... def setdefault(self, k: _KeyType, default: _ValueType = ...) -> bytes: ... # Don't exist at runtime __new__: None # type: ignore[assignment] __init__: None # type: ignore[assignment] if sys.version_info >= (3, 11): def open(filename: StrOrBytesPath, flags: str = "r", mode: int = 0o666, /) -> _gdbm: ... else: def open(filename: str, flags: str = "r", mode: int = 0o666, /) -> _gdbm: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_hashlib.pyi0000644000175100017510000001273115112307767020663 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from collections.abc import Callable from types import ModuleType from typing import AnyStr, Protocol, final, overload, type_check_only from typing_extensions import Self, TypeAlias, disjoint_base _DigestMod: TypeAlias = str | Callable[[], _HashObject] | ModuleType | None openssl_md_meth_names: frozenset[str] @type_check_only class _HashObject(Protocol): @property def digest_size(self) -> int: ... @property def block_size(self) -> int: ... @property def name(self) -> str: ... def copy(self) -> Self: ... def digest(self) -> bytes: ... def hexdigest(self) -> str: ... def update(self, obj: ReadableBuffer, /) -> None: ... @disjoint_base class HASH: @property def digest_size(self) -> int: ... @property def block_size(self) -> int: ... @property def name(self) -> str: ... def copy(self) -> Self: ... def digest(self) -> bytes: ... def hexdigest(self) -> str: ... def update(self, obj: ReadableBuffer, /) -> None: ... if sys.version_info >= (3, 10): class UnsupportedDigestmodError(ValueError): ... class HASHXOF(HASH): def digest(self, length: int) -> bytes: ... # type: ignore[override] def hexdigest(self, length: int) -> str: ... # type: ignore[override] @final class HMAC: @property def digest_size(self) -> int: ... @property def block_size(self) -> int: ... @property def name(self) -> str: ... def copy(self) -> Self: ... def digest(self) -> bytes: ... def hexdigest(self) -> str: ... def update(self, msg: ReadableBuffer) -> None: ... @overload def compare_digest(a: ReadableBuffer, b: ReadableBuffer, /) -> bool: ... @overload def compare_digest(a: AnyStr, b: AnyStr, /) -> bool: ... def get_fips_mode() -> int: ... def hmac_new(key: bytes | bytearray, msg: ReadableBuffer = b"", digestmod: _DigestMod = None) -> HMAC: ... if sys.version_info >= (3, 13): def new( name: str, data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_md5( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha1( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha224( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha256( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha384( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha512( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha3_224( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha3_256( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha3_384( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_sha3_512( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASH: ... def openssl_shake_128( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASHXOF: ... def openssl_shake_256( data: ReadableBuffer = b"", *, usedforsecurity: bool = True, string: ReadableBuffer | None = None ) -> HASHXOF: ... else: def new(name: str, string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_md5(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha1(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha224(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha256(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha384(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha512(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha3_224(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha3_256(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha3_384(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_sha3_512(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASH: ... def openssl_shake_128(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASHXOF: ... def openssl_shake_256(string: ReadableBuffer = b"", *, usedforsecurity: bool = True) -> HASHXOF: ... def hmac_digest(key: bytes | bytearray, msg: ReadableBuffer, digest: str) -> bytes: ... def pbkdf2_hmac( hash_name: str, password: ReadableBuffer, salt: ReadableBuffer, iterations: int, dklen: int | None = None ) -> bytes: ... def scrypt( password: ReadableBuffer, *, salt: ReadableBuffer, n: int, r: int, p: int, maxmem: int = 0, dklen: int = 64 ) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_heapq.pyi0000644000175100017510000000136315112307767020346 0ustar00runnerrunnerimport sys from _typeshed import SupportsRichComparisonT as _T # All type variable use in this module requires comparability. from typing import Final __about__: Final[str] def heapify(heap: list[_T], /) -> None: ... def heappop(heap: list[_T], /) -> _T: ... def heappush(heap: list[_T], item: _T, /) -> None: ... def heappushpop(heap: list[_T], item: _T, /) -> _T: ... def heapreplace(heap: list[_T], item: _T, /) -> _T: ... if sys.version_info >= (3, 14): def heapify_max(heap: list[_T], /) -> None: ... def heappop_max(heap: list[_T], /) -> _T: ... def heappush_max(heap: list[_T], item: _T, /) -> None: ... def heappushpop_max(heap: list[_T], item: _T, /) -> _T: ... def heapreplace_max(heap: list[_T], item: _T, /) -> _T: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_imp.pyi0000644000175100017510000000224115112307767020031 0ustar00runnerrunnerimport sys import types from _typeshed import ReadableBuffer from importlib.machinery import ModuleSpec from typing import Any check_hash_based_pycs: str if sys.version_info >= (3, 14): pyc_magic_number_token: int def source_hash(key: int, source: ReadableBuffer) -> bytes: ... def create_builtin(spec: ModuleSpec, /) -> types.ModuleType: ... def create_dynamic(spec: ModuleSpec, file: Any = None, /) -> types.ModuleType: ... def acquire_lock() -> None: ... def exec_builtin(mod: types.ModuleType, /) -> int: ... def exec_dynamic(mod: types.ModuleType, /) -> int: ... def extension_suffixes() -> list[str]: ... def init_frozen(name: str, /) -> types.ModuleType: ... def is_builtin(name: str, /) -> int: ... def is_frozen(name: str, /) -> bool: ... def is_frozen_package(name: str, /) -> bool: ... def lock_held() -> bool: ... def release_lock() -> None: ... if sys.version_info >= (3, 11): def find_frozen(name: str, /, *, withdata: bool = False) -> tuple[memoryview | None, bool, str | None] | None: ... def get_frozen_object(name: str, data: ReadableBuffer | None = None, /) -> types.CodeType: ... else: def get_frozen_object(name: str, /) -> types.CodeType: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_interpchannels.pyi0000644000175100017510000000620415112307767022264 0ustar00runnerrunnerfrom _typeshed import structseq from typing import Any, Final, Literal, SupportsIndex, final from typing_extensions import Buffer, Self class ChannelError(RuntimeError): ... class ChannelClosedError(ChannelError): ... class ChannelEmptyError(ChannelError): ... class ChannelNotEmptyError(ChannelError): ... class ChannelNotFoundError(ChannelError): ... # Mark as final, since instantiating ChannelID is not supported. @final class ChannelID: @property def end(self) -> Literal["send", "recv", "both"]: ... @property def send(self) -> Self: ... @property def recv(self) -> Self: ... def __eq__(self, other: object, /) -> bool: ... def __ge__(self, other: ChannelID, /) -> bool: ... def __gt__(self, other: ChannelID, /) -> bool: ... def __hash__(self) -> int: ... def __index__(self) -> int: ... def __int__(self) -> int: ... def __le__(self, other: ChannelID, /) -> bool: ... def __lt__(self, other: ChannelID, /) -> bool: ... def __ne__(self, other: object, /) -> bool: ... @final class ChannelInfo(structseq[int], tuple[bool, bool, bool, int, int, int, int, int]): __match_args__: Final = ( "open", "closing", "closed", "count", "num_interp_send", "num_interp_send_released", "num_interp_recv", "num_interp_recv_released", ) @property def open(self) -> bool: ... @property def closing(self) -> bool: ... @property def closed(self) -> bool: ... @property def count(self) -> int: ... # type: ignore[override] @property def num_interp_send(self) -> int: ... @property def num_interp_send_released(self) -> int: ... @property def num_interp_recv(self) -> int: ... @property def num_interp_recv_released(self) -> int: ... @property def num_interp_both(self) -> int: ... @property def num_interp_both_recv_released(self) -> int: ... @property def num_interp_both_send_released(self) -> int: ... @property def num_interp_both_released(self) -> int: ... @property def recv_associated(self) -> bool: ... @property def recv_released(self) -> bool: ... @property def send_associated(self) -> bool: ... @property def send_released(self) -> bool: ... def create(unboundop: Literal[1, 2, 3]) -> ChannelID: ... def destroy(cid: SupportsIndex) -> None: ... def list_all() -> list[ChannelID]: ... def list_interpreters(cid: SupportsIndex, *, send: bool) -> list[int]: ... def send(cid: SupportsIndex, obj: object, *, blocking: bool = True, timeout: float | None = None) -> None: ... def send_buffer(cid: SupportsIndex, obj: Buffer, *, blocking: bool = True, timeout: float | None = None) -> None: ... def recv(cid: SupportsIndex, default: object = ...) -> tuple[Any, Literal[1, 2, 3]]: ... def close(cid: SupportsIndex, *, send: bool = False, recv: bool = False) -> None: ... def get_count(cid: SupportsIndex) -> int: ... def get_info(cid: SupportsIndex) -> ChannelInfo: ... def get_channel_defaults(cid: SupportsIndex) -> Literal[1, 2, 3]: ... def release(cid: SupportsIndex, *, send: bool = False, recv: bool = False, force: bool = False) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_interpqueues.pyi0000644000175100017510000000154215112307767022000 0ustar00runnerrunnerfrom typing import Any, Literal, SupportsIndex from typing_extensions import TypeAlias _UnboundOp: TypeAlias = Literal[1, 2, 3] class QueueError(RuntimeError): ... class QueueNotFoundError(QueueError): ... def bind(qid: SupportsIndex) -> None: ... def create(maxsize: SupportsIndex, fmt: SupportsIndex, unboundop: _UnboundOp) -> int: ... def destroy(qid: SupportsIndex) -> None: ... def get(qid: SupportsIndex) -> tuple[Any, int, _UnboundOp | None]: ... def get_count(qid: SupportsIndex) -> int: ... def get_maxsize(qid: SupportsIndex) -> int: ... def get_queue_defaults(qid: SupportsIndex) -> tuple[int, _UnboundOp]: ... def is_full(qid: SupportsIndex) -> bool: ... def list_all() -> list[tuple[int, int, _UnboundOp]]: ... def put(qid: SupportsIndex, obj: Any, fmt: SupportsIndex, unboundop: _UnboundOp) -> None: ... def release(qid: SupportsIndex) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_interpreters.pyi0000644000175100017510000000513615112307767022000 0ustar00runnerrunnerimport types from collections.abc import Callable from typing import Any, Final, Literal, SupportsIndex, TypeVar, overload from typing_extensions import TypeAlias, disjoint_base _R = TypeVar("_R") _Configs: TypeAlias = Literal["default", "isolated", "legacy", "empty", ""] _SharedDict: TypeAlias = dict[str, Any] # many objects can be shared class InterpreterError(Exception): ... class InterpreterNotFoundError(InterpreterError): ... class NotShareableError(ValueError): ... @disjoint_base class CrossInterpreterBufferView: def __buffer__(self, flags: int, /) -> memoryview: ... def new_config(name: _Configs = "isolated", /, **overides: object) -> types.SimpleNamespace: ... def create(config: types.SimpleNamespace | _Configs | None = "isolated", *, reqrefs: bool = False) -> int: ... def destroy(id: SupportsIndex, *, restrict: bool = False) -> None: ... def list_all(*, require_ready: bool = False) -> list[tuple[int, _Whence]]: ... def get_current() -> tuple[int, _Whence]: ... def get_main() -> tuple[int, _Whence]: ... def is_running(id: SupportsIndex, *, restrict: bool = False) -> bool: ... def get_config(id: SupportsIndex, *, restrict: bool = False) -> types.SimpleNamespace: ... def whence(id: SupportsIndex) -> _Whence: ... def exec( id: SupportsIndex, code: str | types.CodeType | Callable[[], object], shared: _SharedDict = {}, *, restrict: bool = False ) -> None | types.SimpleNamespace: ... def call( id: SupportsIndex, callable: Callable[..., _R], args: tuple[Any, ...] = (), kwargs: dict[str, Any] = {}, *, preserve_exc: bool = False, restrict: bool = False, ) -> tuple[_R, types.SimpleNamespace]: ... def run_string( id: SupportsIndex, script: str | types.CodeType | Callable[[], object], shared: _SharedDict = {}, *, restrict: bool = False ) -> None: ... def run_func( id: SupportsIndex, func: types.CodeType | Callable[[], object], shared: _SharedDict = {}, *, restrict: bool = False ) -> None: ... def set___main___attrs(id: SupportsIndex, updates: _SharedDict, *, restrict: bool = False) -> None: ... def incref(id: SupportsIndex, *, implieslink: bool = False, restrict: bool = False) -> None: ... def decref(id: SupportsIndex, *, restrict: bool = False) -> None: ... def is_shareable(obj: object) -> bool: ... @overload def capture_exception(exc: BaseException) -> types.SimpleNamespace: ... @overload def capture_exception(exc: None = None) -> types.SimpleNamespace | None: ... _Whence: TypeAlias = Literal[0, 1, 2, 3, 4, 5] WHENCE_UNKNOWN: Final = 0 WHENCE_RUNTIME: Final = 1 WHENCE_LEGACY_CAPI: Final = 2 WHENCE_CAPI: Final = 3 WHENCE_XI: Final = 4 WHENCE_STDLIB: Final = 5 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_io.pyi0000644000175100017510000003152615112307767017663 0ustar00runnerrunnerimport builtins import codecs import sys from _typeshed import FileDescriptorOrPath, MaybeNone, ReadableBuffer, WriteableBuffer from collections.abc import Callable, Iterable, Iterator from io import BufferedIOBase, RawIOBase, TextIOBase, UnsupportedOperation as UnsupportedOperation from os import _Opener from types import TracebackType from typing import IO, Any, BinaryIO, Final, Generic, Literal, Protocol, TextIO, TypeVar, overload, type_check_only from typing_extensions import Self, disjoint_base _T = TypeVar("_T") if sys.version_info >= (3, 14): DEFAULT_BUFFER_SIZE: Final = 131072 else: DEFAULT_BUFFER_SIZE: Final = 8192 open = builtins.open def open_code(path: str) -> IO[bytes]: ... BlockingIOError = builtins.BlockingIOError if sys.version_info >= (3, 12): @disjoint_base class _IOBase: def __iter__(self) -> Iterator[bytes]: ... def __next__(self) -> bytes: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def close(self) -> None: ... def fileno(self) -> int: ... def flush(self) -> None: ... def isatty(self) -> bool: ... def readable(self) -> bool: ... read: Callable[..., Any] def readlines(self, hint: int = -1, /) -> list[bytes]: ... def seek(self, offset: int, whence: int = 0, /) -> int: ... def seekable(self) -> bool: ... def tell(self) -> int: ... def truncate(self, size: int | None = None, /) -> int: ... def writable(self) -> bool: ... write: Callable[..., Any] def writelines(self, lines: Iterable[ReadableBuffer], /) -> None: ... def readline(self, size: int | None = -1, /) -> bytes: ... def __del__(self) -> None: ... @property def closed(self) -> bool: ... def _checkClosed(self) -> None: ... # undocumented else: class _IOBase: def __iter__(self) -> Iterator[bytes]: ... def __next__(self) -> bytes: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def close(self) -> None: ... def fileno(self) -> int: ... def flush(self) -> None: ... def isatty(self) -> bool: ... def readable(self) -> bool: ... read: Callable[..., Any] def readlines(self, hint: int = -1, /) -> list[bytes]: ... def seek(self, offset: int, whence: int = 0, /) -> int: ... def seekable(self) -> bool: ... def tell(self) -> int: ... def truncate(self, size: int | None = None, /) -> int: ... def writable(self) -> bool: ... write: Callable[..., Any] def writelines(self, lines: Iterable[ReadableBuffer], /) -> None: ... def readline(self, size: int | None = -1, /) -> bytes: ... def __del__(self) -> None: ... @property def closed(self) -> bool: ... def _checkClosed(self) -> None: ... # undocumented class _RawIOBase(_IOBase): def readall(self) -> bytes: ... # The following methods can return None if the file is in non-blocking mode # and no data is available. def readinto(self, buffer: WriteableBuffer, /) -> int | MaybeNone: ... def write(self, b: ReadableBuffer, /) -> int | MaybeNone: ... def read(self, size: int = -1, /) -> bytes | MaybeNone: ... class _BufferedIOBase(_IOBase): def detach(self) -> RawIOBase: ... def readinto(self, buffer: WriteableBuffer, /) -> int: ... def write(self, buffer: ReadableBuffer, /) -> int: ... def readinto1(self, buffer: WriteableBuffer, /) -> int: ... def read(self, size: int | None = -1, /) -> bytes: ... def read1(self, size: int = -1, /) -> bytes: ... @disjoint_base class FileIO(RawIOBase, _RawIOBase, BinaryIO): # type: ignore[misc] # incompatible definitions of writelines in the base classes mode: str # The type of "name" equals the argument passed in to the constructor, # but that can make FileIO incompatible with other I/O types that assume # "name" is a str. In the future, making FileIO generic might help. name: Any def __init__( self, file: FileDescriptorOrPath, mode: str = "r", closefd: bool = True, opener: _Opener | None = None ) -> None: ... @property def closefd(self) -> bool: ... def seek(self, pos: int, whence: int = 0, /) -> int: ... def read(self, size: int | None = -1, /) -> bytes | MaybeNone: ... @disjoint_base class BytesIO(BufferedIOBase, _BufferedIOBase, BinaryIO): # type: ignore[misc] # incompatible definitions of methods in the base classes def __init__(self, initial_bytes: ReadableBuffer = b"") -> None: ... # BytesIO does not contain a "name" field. This workaround is necessary # to allow BytesIO sub-classes to add this field, as it is defined # as a read-only property on IO[]. name: Any def getvalue(self) -> bytes: ... def getbuffer(self) -> memoryview: ... def read1(self, size: int | None = -1, /) -> bytes: ... def readlines(self, size: int | None = None, /) -> list[bytes]: ... def seek(self, pos: int, whence: int = 0, /) -> int: ... @type_check_only class _BufferedReaderStream(Protocol): def read(self, n: int = ..., /) -> bytes: ... # Optional: def readall(self) -> bytes: ... def readinto(self, b: memoryview, /) -> int | None: ... def seek(self, pos: int, whence: int, /) -> int: ... def tell(self) -> int: ... def truncate(self, size: int, /) -> int: ... def flush(self) -> object: ... def close(self) -> object: ... @property def closed(self) -> bool: ... def readable(self) -> bool: ... def seekable(self) -> bool: ... # The following methods just pass through to the underlying stream. Since # not all streams support them, they are marked as optional here, and will # raise an AttributeError if called on a stream that does not support them. # @property # def name(self) -> Any: ... # Type is inconsistent between the various I/O types. # @property # def mode(self) -> str: ... # def fileno(self) -> int: ... # def isatty(self) -> bool: ... _BufferedReaderStreamT = TypeVar("_BufferedReaderStreamT", bound=_BufferedReaderStream, default=_BufferedReaderStream) @disjoint_base class BufferedReader(BufferedIOBase, _BufferedIOBase, BinaryIO, Generic[_BufferedReaderStreamT]): # type: ignore[misc] # incompatible definitions of methods in the base classes raw: _BufferedReaderStreamT if sys.version_info >= (3, 14): def __init__(self, raw: _BufferedReaderStreamT, buffer_size: int = 131072) -> None: ... else: def __init__(self, raw: _BufferedReaderStreamT, buffer_size: int = 8192) -> None: ... def peek(self, size: int = 0, /) -> bytes: ... def seek(self, target: int, whence: int = 0, /) -> int: ... def truncate(self, pos: int | None = None, /) -> int: ... @disjoint_base class BufferedWriter(BufferedIOBase, _BufferedIOBase, BinaryIO): # type: ignore[misc] # incompatible definitions of writelines in the base classes raw: RawIOBase if sys.version_info >= (3, 14): def __init__(self, raw: RawIOBase, buffer_size: int = 131072) -> None: ... else: def __init__(self, raw: RawIOBase, buffer_size: int = 8192) -> None: ... def write(self, buffer: ReadableBuffer, /) -> int: ... def seek(self, target: int, whence: int = 0, /) -> int: ... def truncate(self, pos: int | None = None, /) -> int: ... @disjoint_base class BufferedRandom(BufferedIOBase, _BufferedIOBase, BinaryIO): # type: ignore[misc] # incompatible definitions of methods in the base classes mode: str name: Any raw: RawIOBase if sys.version_info >= (3, 14): def __init__(self, raw: RawIOBase, buffer_size: int = 131072) -> None: ... else: def __init__(self, raw: RawIOBase, buffer_size: int = 8192) -> None: ... def seek(self, target: int, whence: int = 0, /) -> int: ... # stubtest needs this def peek(self, size: int = 0, /) -> bytes: ... def truncate(self, pos: int | None = None, /) -> int: ... @disjoint_base class BufferedRWPair(BufferedIOBase, _BufferedIOBase, Generic[_BufferedReaderStreamT]): if sys.version_info >= (3, 14): def __init__(self, reader: _BufferedReaderStreamT, writer: RawIOBase, buffer_size: int = 131072, /) -> None: ... else: def __init__(self, reader: _BufferedReaderStreamT, writer: RawIOBase, buffer_size: int = 8192, /) -> None: ... def peek(self, size: int = 0, /) -> bytes: ... class _TextIOBase(_IOBase): encoding: str errors: str | None newlines: str | tuple[str, ...] | None def __iter__(self) -> Iterator[str]: ... # type: ignore[override] def __next__(self) -> str: ... # type: ignore[override] def detach(self) -> BinaryIO: ... def write(self, s: str, /) -> int: ... def writelines(self, lines: Iterable[str], /) -> None: ... # type: ignore[override] def readline(self, size: int = -1, /) -> str: ... # type: ignore[override] def readlines(self, hint: int = -1, /) -> list[str]: ... # type: ignore[override] def read(self, size: int | None = -1, /) -> str: ... @type_check_only class _WrappedBuffer(Protocol): # "name" is wrapped by TextIOWrapper. Its type is inconsistent between # the various I/O types. @property def name(self) -> Any: ... @property def closed(self) -> bool: ... def read(self, size: int = ..., /) -> ReadableBuffer: ... # Optional: def read1(self, size: int, /) -> ReadableBuffer: ... def write(self, b: bytes, /) -> object: ... def flush(self) -> object: ... def close(self) -> object: ... def seekable(self) -> bool: ... def readable(self) -> bool: ... def writable(self) -> bool: ... def truncate(self, size: int, /) -> int: ... def fileno(self) -> int: ... def isatty(self) -> bool: ... # Optional: Only needs to be present if seekable() returns True. # def seek(self, offset: Literal[0], whence: Literal[2]) -> int: ... # def tell(self) -> int: ... _BufferT_co = TypeVar("_BufferT_co", bound=_WrappedBuffer, default=_WrappedBuffer, covariant=True) @disjoint_base class TextIOWrapper(TextIOBase, _TextIOBase, TextIO, Generic[_BufferT_co]): # type: ignore[misc] # incompatible definitions of write in the base classes def __init__( self, buffer: _BufferT_co, encoding: str | None = None, errors: str | None = None, newline: str | None = None, line_buffering: bool = False, write_through: bool = False, ) -> None: ... # Equals the "buffer" argument passed in to the constructor. @property def buffer(self) -> _BufferT_co: ... # type: ignore[override] @property def line_buffering(self) -> bool: ... @property def write_through(self) -> bool: ... def reconfigure( self, *, encoding: str | None = None, errors: str | None = None, newline: str | None = None, line_buffering: bool | None = None, write_through: bool | None = None, ) -> None: ... def readline(self, size: int = -1, /) -> str: ... # type: ignore[override] # Equals the "buffer" argument passed in to the constructor. def detach(self) -> _BufferT_co: ... # type: ignore[override] # TextIOWrapper's version of seek only supports a limited subset of # operations. def seek(self, cookie: int, whence: int = 0, /) -> int: ... def truncate(self, pos: int | None = None, /) -> int: ... @disjoint_base class StringIO(TextIOBase, _TextIOBase, TextIO): # type: ignore[misc] # incompatible definitions of write in the base classes def __init__(self, initial_value: str | None = "", newline: str | None = "\n") -> None: ... # StringIO does not contain a "name" field. This workaround is necessary # to allow StringIO sub-classes to add this field, as it is defined # as a read-only property on IO[]. name: Any def getvalue(self) -> str: ... @property def line_buffering(self) -> bool: ... def seek(self, pos: int, whence: int = 0, /) -> int: ... def truncate(self, pos: int | None = None, /) -> int: ... @disjoint_base class IncrementalNewlineDecoder: def __init__(self, decoder: codecs.IncrementalDecoder | None, translate: bool, errors: str = "strict") -> None: ... def decode(self, input: ReadableBuffer | str, final: bool = False) -> str: ... @property def newlines(self) -> str | tuple[str, ...] | None: ... def getstate(self) -> tuple[bytes, int]: ... def reset(self) -> None: ... def setstate(self, state: tuple[bytes, int], /) -> None: ... if sys.version_info >= (3, 10): @overload def text_encoding(encoding: None, stacklevel: int = 2, /) -> Literal["locale", "utf-8"]: ... @overload def text_encoding(encoding: _T, stacklevel: int = 2, /) -> _T: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_json.pyi0000644000175100017510000000277415112307767020230 0ustar00runnerrunnerfrom collections.abc import Callable from typing import Any, final from typing_extensions import Self @final class make_encoder: @property def sort_keys(self) -> bool: ... @property def skipkeys(self) -> bool: ... @property def key_separator(self) -> str: ... @property def indent(self) -> str | None: ... @property def markers(self) -> dict[int, Any] | None: ... @property def default(self) -> Callable[[Any], Any]: ... @property def encoder(self) -> Callable[[str], str]: ... @property def item_separator(self) -> str: ... def __new__( cls, markers: dict[int, Any] | None, default: Callable[[Any], Any], encoder: Callable[[str], str], indent: str | None, key_separator: str, item_separator: str, sort_keys: bool, skipkeys: bool, allow_nan: bool, ) -> Self: ... def __call__(self, obj: object, _current_indent_level: int) -> Any: ... @final class make_scanner: object_hook: Any object_pairs_hook: Any parse_int: Any parse_constant: Any parse_float: Any strict: bool # TODO: 'context' needs the attrs above (ducktype), but not __call__. def __new__(cls, context: make_scanner) -> Self: ... def __call__(self, string: str, index: int) -> tuple[Any, int]: ... def encode_basestring(s: str, /) -> str: ... def encode_basestring_ascii(s: str, /) -> str: ... def scanstring(string: str, end: int, strict: bool = True) -> tuple[str, int]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_locale.pyi0000644000175100017510000000632715112307767020514 0ustar00runnerrunnerimport sys from _typeshed import StrPath from typing import Final, Literal, TypedDict, type_check_only @type_check_only class _LocaleConv(TypedDict): decimal_point: str grouping: list[int] thousands_sep: str int_curr_symbol: str currency_symbol: str p_cs_precedes: Literal[0, 1, 127] n_cs_precedes: Literal[0, 1, 127] p_sep_by_space: Literal[0, 1, 127] n_sep_by_space: Literal[0, 1, 127] mon_decimal_point: str frac_digits: int int_frac_digits: int mon_thousands_sep: str mon_grouping: list[int] positive_sign: str negative_sign: str p_sign_posn: Literal[0, 1, 2, 3, 4, 127] n_sign_posn: Literal[0, 1, 2, 3, 4, 127] LC_CTYPE: Final[int] LC_COLLATE: Final[int] LC_TIME: Final[int] LC_MONETARY: Final[int] LC_NUMERIC: Final[int] LC_ALL: Final[int] CHAR_MAX: Final = 127 def setlocale(category: int, locale: str | None = None, /) -> str: ... def localeconv() -> _LocaleConv: ... if sys.version_info >= (3, 11): def getencoding() -> str: ... def strcoll(os1: str, os2: str, /) -> int: ... def strxfrm(string: str, /) -> str: ... # native gettext functions # https://docs.python.org/3/library/locale.html#access-to-message-catalogs # https://github.com/python/cpython/blob/f4c03484da59049eb62a9bf7777b963e2267d187/Modules/_localemodule.c#L626 if sys.platform != "win32": LC_MESSAGES: int ABDAY_1: Final[int] ABDAY_2: Final[int] ABDAY_3: Final[int] ABDAY_4: Final[int] ABDAY_5: Final[int] ABDAY_6: Final[int] ABDAY_7: Final[int] ABMON_1: Final[int] ABMON_2: Final[int] ABMON_3: Final[int] ABMON_4: Final[int] ABMON_5: Final[int] ABMON_6: Final[int] ABMON_7: Final[int] ABMON_8: Final[int] ABMON_9: Final[int] ABMON_10: Final[int] ABMON_11: Final[int] ABMON_12: Final[int] DAY_1: Final[int] DAY_2: Final[int] DAY_3: Final[int] DAY_4: Final[int] DAY_5: Final[int] DAY_6: Final[int] DAY_7: Final[int] ERA: Final[int] ERA_D_T_FMT: Final[int] ERA_D_FMT: Final[int] ERA_T_FMT: Final[int] MON_1: Final[int] MON_2: Final[int] MON_3: Final[int] MON_4: Final[int] MON_5: Final[int] MON_6: Final[int] MON_7: Final[int] MON_8: Final[int] MON_9: Final[int] MON_10: Final[int] MON_11: Final[int] MON_12: Final[int] CODESET: Final[int] D_T_FMT: Final[int] D_FMT: Final[int] T_FMT: Final[int] T_FMT_AMPM: Final[int] AM_STR: Final[int] PM_STR: Final[int] RADIXCHAR: Final[int] THOUSEP: Final[int] YESEXPR: Final[int] NOEXPR: Final[int] CRNCYSTR: Final[int] ALT_DIGITS: Final[int] def nl_langinfo(key: int, /) -> str: ... # This is dependent on `libintl.h` which is a part of `gettext` # system dependency. These functions might be missing. # But, we always say that they are present. def gettext(msg: str, /) -> str: ... def dgettext(domain: str | None, msg: str, /) -> str: ... def dcgettext(domain: str | None, msg: str, category: int, /) -> str: ... def textdomain(domain: str | None, /) -> str: ... def bindtextdomain(domain: str, dir: StrPath | None, /) -> str: ... def bind_textdomain_codeset(domain: str, codeset: str | None, /) -> str | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_lsprof.pyi0000644000175100017510000000245315112307767020556 0ustar00runnerrunnerimport sys from _typeshed import structseq from collections.abc import Callable from types import CodeType from typing import Any, Final, final from typing_extensions import disjoint_base @disjoint_base class Profiler: def __init__( self, timer: Callable[[], float] | None = None, timeunit: float = 0.0, subcalls: bool = True, builtins: bool = True ) -> None: ... def getstats(self) -> list[profiler_entry]: ... def enable(self, subcalls: bool = True, builtins: bool = True) -> None: ... def disable(self) -> None: ... def clear(self) -> None: ... @final class profiler_entry(structseq[Any], tuple[CodeType | str, int, int, float, float, list[profiler_subentry]]): if sys.version_info >= (3, 10): __match_args__: Final = ("code", "callcount", "reccallcount", "totaltime", "inlinetime", "calls") code: CodeType | str callcount: int reccallcount: int totaltime: float inlinetime: float calls: list[profiler_subentry] @final class profiler_subentry(structseq[Any], tuple[CodeType | str, int, int, float, float]): if sys.version_info >= (3, 10): __match_args__: Final = ("code", "callcount", "reccallcount", "totaltime", "inlinetime") code: CodeType | str callcount: int reccallcount: int totaltime: float inlinetime: float ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_lzma.pyi0000644000175100017510000000405215112307767020211 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from collections.abc import Mapping, Sequence from typing import Any, Final, final from typing_extensions import Self, TypeAlias _FilterChain: TypeAlias = Sequence[Mapping[str, Any]] FORMAT_AUTO: Final = 0 FORMAT_XZ: Final = 1 FORMAT_ALONE: Final = 2 FORMAT_RAW: Final = 3 CHECK_NONE: Final = 0 CHECK_CRC32: Final = 1 CHECK_CRC64: Final = 4 CHECK_SHA256: Final = 10 CHECK_ID_MAX: Final = 15 CHECK_UNKNOWN: Final = 16 FILTER_LZMA1: Final[int] # v big number FILTER_LZMA2: Final = 33 FILTER_DELTA: Final = 3 FILTER_X86: Final = 4 FILTER_IA64: Final = 6 FILTER_ARM: Final = 7 FILTER_ARMTHUMB: Final = 8 FILTER_SPARC: Final = 9 FILTER_POWERPC: Final = 5 MF_HC3: Final = 3 MF_HC4: Final = 4 MF_BT2: Final = 18 MF_BT3: Final = 19 MF_BT4: Final = 20 MODE_FAST: Final = 1 MODE_NORMAL: Final = 2 PRESET_DEFAULT: Final = 6 PRESET_EXTREME: Final[int] # v big number @final class LZMADecompressor: if sys.version_info >= (3, 12): def __new__(cls, format: int = 0, memlimit: int | None = None, filters: _FilterChain | None = None) -> Self: ... else: def __init__(self, format: int = 0, memlimit: int | None = None, filters: _FilterChain | None = None) -> None: ... def decompress(self, data: ReadableBuffer, max_length: int = -1) -> bytes: ... @property def check(self) -> int: ... @property def eof(self) -> bool: ... @property def unused_data(self) -> bytes: ... @property def needs_input(self) -> bool: ... @final class LZMACompressor: if sys.version_info >= (3, 12): def __new__( cls, format: int = 1, check: int = -1, preset: int | None = None, filters: _FilterChain | None = None ) -> Self: ... else: def __init__( self, format: int = 1, check: int = -1, preset: int | None = None, filters: _FilterChain | None = None ) -> None: ... def compress(self, data: ReadableBuffer, /) -> bytes: ... def flush(self) -> bytes: ... class LZMAError(Exception): ... def is_check_supported(check_id: int, /) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_markupbase.pyi0000644000175100017510000000133215112307767021376 0ustar00runnerrunnerimport sys from typing import Any class ParserBase: def reset(self) -> None: ... def getpos(self) -> tuple[int, int]: ... def unknown_decl(self, data: str) -> None: ... def parse_comment(self, i: int, report: bool = True) -> int: ... # undocumented def parse_declaration(self, i: int) -> int: ... # undocumented def parse_marked_section(self, i: int, report: bool = True) -> int: ... # undocumented def updatepos(self, i: int, j: int) -> int: ... # undocumented if sys.version_info < (3, 10): # Removed from ParserBase: https://bugs.python.org/issue31844 def error(self, message: str) -> Any: ... # undocumented lineno: int # undocumented offset: int # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_msi.pyi0000644000175100017510000000710415112307767020037 0ustar00runnerrunnerimport sys from typing import Final, type_check_only if sys.platform == "win32": class MSIError(Exception): ... # Actual typename View, not exposed by the implementation @type_check_only class _View: def Execute(self, params: _Record | None = ...) -> None: ... def GetColumnInfo(self, kind: int) -> _Record: ... def Fetch(self) -> _Record: ... def Modify(self, mode: int, record: _Record) -> None: ... def Close(self) -> None: ... # Don't exist at runtime __new__: None # type: ignore[assignment] __init__: None # type: ignore[assignment] # Actual typename SummaryInformation, not exposed by the implementation @type_check_only class _SummaryInformation: def GetProperty(self, field: int) -> int | bytes | None: ... def GetPropertyCount(self) -> int: ... def SetProperty(self, field: int, value: int | str) -> None: ... def Persist(self) -> None: ... # Don't exist at runtime __new__: None # type: ignore[assignment] __init__: None # type: ignore[assignment] # Actual typename Database, not exposed by the implementation @type_check_only class _Database: def OpenView(self, sql: str) -> _View: ... def Commit(self) -> None: ... def GetSummaryInformation(self, updateCount: int) -> _SummaryInformation: ... def Close(self) -> None: ... # Don't exist at runtime __new__: None # type: ignore[assignment] __init__: None # type: ignore[assignment] # Actual typename Record, not exposed by the implementation @type_check_only class _Record: def GetFieldCount(self) -> int: ... def GetInteger(self, field: int) -> int: ... def GetString(self, field: int) -> str: ... def SetString(self, field: int, str: str) -> None: ... def SetStream(self, field: int, stream: str) -> None: ... def SetInteger(self, field: int, int: int) -> None: ... def ClearData(self) -> None: ... # Don't exist at runtime __new__: None # type: ignore[assignment] __init__: None # type: ignore[assignment] def UuidCreate() -> str: ... def FCICreate(cabname: str, files: list[str], /) -> None: ... def OpenDatabase(path: str, persist: int, /) -> _Database: ... def CreateRecord(count: int, /) -> _Record: ... MSICOLINFO_NAMES: Final[int] MSICOLINFO_TYPES: Final[int] MSIDBOPEN_CREATE: Final[int] MSIDBOPEN_CREATEDIRECT: Final[int] MSIDBOPEN_DIRECT: Final[int] MSIDBOPEN_PATCHFILE: Final[int] MSIDBOPEN_READONLY: Final[int] MSIDBOPEN_TRANSACT: Final[int] MSIMODIFY_ASSIGN: Final[int] MSIMODIFY_DELETE: Final[int] MSIMODIFY_INSERT: Final[int] MSIMODIFY_INSERT_TEMPORARY: Final[int] MSIMODIFY_MERGE: Final[int] MSIMODIFY_REFRESH: Final[int] MSIMODIFY_REPLACE: Final[int] MSIMODIFY_SEEK: Final[int] MSIMODIFY_UPDATE: Final[int] MSIMODIFY_VALIDATE: Final[int] MSIMODIFY_VALIDATE_DELETE: Final[int] MSIMODIFY_VALIDATE_FIELD: Final[int] MSIMODIFY_VALIDATE_NEW: Final[int] PID_APPNAME: Final[int] PID_AUTHOR: Final[int] PID_CHARCOUNT: Final[int] PID_CODEPAGE: Final[int] PID_COMMENTS: Final[int] PID_CREATE_DTM: Final[int] PID_KEYWORDS: Final[int] PID_LASTAUTHOR: Final[int] PID_LASTPRINTED: Final[int] PID_LASTSAVE_DTM: Final[int] PID_PAGECOUNT: Final[int] PID_REVNUMBER: Final[int] PID_SECURITY: Final[int] PID_SUBJECT: Final[int] PID_TEMPLATE: Final[int] PID_TITLE: Final[int] PID_WORDCOUNT: Final[int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_multibytecodec.pyi0000644000175100017510000000354215112307767022265 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer from codecs import _ReadableStream, _WritableStream from collections.abc import Iterable from typing import final, type_check_only from typing_extensions import disjoint_base # This class is not exposed. It calls itself _multibytecodec.MultibyteCodec. @final @type_check_only class _MultibyteCodec: def decode(self, input: ReadableBuffer, errors: str | None = None) -> str: ... def encode(self, input: str, errors: str | None = None) -> bytes: ... @disjoint_base class MultibyteIncrementalDecoder: errors: str def __init__(self, errors: str = "strict") -> None: ... def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... def getstate(self) -> tuple[bytes, int]: ... def reset(self) -> None: ... def setstate(self, state: tuple[bytes, int], /) -> None: ... @disjoint_base class MultibyteIncrementalEncoder: errors: str def __init__(self, errors: str = "strict") -> None: ... def encode(self, input: str, final: bool = False) -> bytes: ... def getstate(self) -> int: ... def reset(self) -> None: ... def setstate(self, state: int, /) -> None: ... @disjoint_base class MultibyteStreamReader: errors: str stream: _ReadableStream def __init__(self, stream: _ReadableStream, errors: str = "strict") -> None: ... def read(self, sizeobj: int | None = None, /) -> str: ... def readline(self, sizeobj: int | None = None, /) -> str: ... def readlines(self, sizehintobj: int | None = None, /) -> list[str]: ... def reset(self) -> None: ... @disjoint_base class MultibyteStreamWriter: errors: str stream: _WritableStream def __init__(self, stream: _WritableStream, errors: str = "strict") -> None: ... def reset(self) -> None: ... def write(self, strobj: str, /) -> None: ... def writelines(self, lines: Iterable[str], /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_operator.pyi0000644000175100017510000001136315112307767021104 0ustar00runnerrunnerimport sys from _typeshed import SupportsGetItem from collections.abc import Callable, Container, Iterable, MutableMapping, MutableSequence, Sequence from operator import attrgetter as attrgetter, itemgetter as itemgetter, methodcaller as methodcaller from typing import Any, AnyStr, Protocol, SupportsAbs, SupportsIndex, TypeVar, overload, type_check_only from typing_extensions import ParamSpec, TypeAlias, TypeIs _R = TypeVar("_R") _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _K = TypeVar("_K") _V = TypeVar("_V") _P = ParamSpec("_P") # The following protocols return "Any" instead of bool, since the comparison # operators can be overloaded to return an arbitrary object. For example, # the numpy.array comparison dunders return another numpy.array. @type_check_only class _SupportsDunderLT(Protocol): def __lt__(self, other: Any, /) -> Any: ... @type_check_only class _SupportsDunderGT(Protocol): def __gt__(self, other: Any, /) -> Any: ... @type_check_only class _SupportsDunderLE(Protocol): def __le__(self, other: Any, /) -> Any: ... @type_check_only class _SupportsDunderGE(Protocol): def __ge__(self, other: Any, /) -> Any: ... _SupportsComparison: TypeAlias = _SupportsDunderLE | _SupportsDunderGE | _SupportsDunderGT | _SupportsDunderLT @type_check_only class _SupportsInversion(Protocol[_T_co]): def __invert__(self) -> _T_co: ... @type_check_only class _SupportsNeg(Protocol[_T_co]): def __neg__(self) -> _T_co: ... @type_check_only class _SupportsPos(Protocol[_T_co]): def __pos__(self) -> _T_co: ... # All four comparison functions must have the same signature, or we get false-positive errors def lt(a: _SupportsComparison, b: _SupportsComparison, /) -> Any: ... def le(a: _SupportsComparison, b: _SupportsComparison, /) -> Any: ... def eq(a: object, b: object, /) -> Any: ... def ne(a: object, b: object, /) -> Any: ... def ge(a: _SupportsComparison, b: _SupportsComparison, /) -> Any: ... def gt(a: _SupportsComparison, b: _SupportsComparison, /) -> Any: ... def not_(a: object, /) -> bool: ... def truth(a: object, /) -> bool: ... def is_(a: object, b: object, /) -> bool: ... def is_not(a: object, b: object, /) -> bool: ... def abs(a: SupportsAbs[_T], /) -> _T: ... def add(a: Any, b: Any, /) -> Any: ... def and_(a: Any, b: Any, /) -> Any: ... def floordiv(a: Any, b: Any, /) -> Any: ... def index(a: SupportsIndex, /) -> int: ... def inv(a: _SupportsInversion[_T_co], /) -> _T_co: ... def invert(a: _SupportsInversion[_T_co], /) -> _T_co: ... def lshift(a: Any, b: Any, /) -> Any: ... def mod(a: Any, b: Any, /) -> Any: ... def mul(a: Any, b: Any, /) -> Any: ... def matmul(a: Any, b: Any, /) -> Any: ... def neg(a: _SupportsNeg[_T_co], /) -> _T_co: ... def or_(a: Any, b: Any, /) -> Any: ... def pos(a: _SupportsPos[_T_co], /) -> _T_co: ... def pow(a: Any, b: Any, /) -> Any: ... def rshift(a: Any, b: Any, /) -> Any: ... def sub(a: Any, b: Any, /) -> Any: ... def truediv(a: Any, b: Any, /) -> Any: ... def xor(a: Any, b: Any, /) -> Any: ... def concat(a: Sequence[_T], b: Sequence[_T], /) -> Sequence[_T]: ... def contains(a: Container[object], b: object, /) -> bool: ... def countOf(a: Iterable[object], b: object, /) -> int: ... @overload def delitem(a: MutableSequence[Any], b: SupportsIndex, /) -> None: ... @overload def delitem(a: MutableSequence[Any], b: slice, /) -> None: ... @overload def delitem(a: MutableMapping[_K, Any], b: _K, /) -> None: ... @overload def getitem(a: Sequence[_T], b: slice, /) -> Sequence[_T]: ... @overload def getitem(a: SupportsGetItem[_K, _V], b: _K, /) -> _V: ... def indexOf(a: Iterable[_T], b: _T, /) -> int: ... @overload def setitem(a: MutableSequence[_T], b: SupportsIndex, c: _T, /) -> None: ... @overload def setitem(a: MutableSequence[_T], b: slice, c: Sequence[_T], /) -> None: ... @overload def setitem(a: MutableMapping[_K, _V], b: _K, c: _V, /) -> None: ... def length_hint(obj: object, default: int = 0, /) -> int: ... def iadd(a: Any, b: Any, /) -> Any: ... def iand(a: Any, b: Any, /) -> Any: ... def iconcat(a: Any, b: Any, /) -> Any: ... def ifloordiv(a: Any, b: Any, /) -> Any: ... def ilshift(a: Any, b: Any, /) -> Any: ... def imod(a: Any, b: Any, /) -> Any: ... def imul(a: Any, b: Any, /) -> Any: ... def imatmul(a: Any, b: Any, /) -> Any: ... def ior(a: Any, b: Any, /) -> Any: ... def ipow(a: Any, b: Any, /) -> Any: ... def irshift(a: Any, b: Any, /) -> Any: ... def isub(a: Any, b: Any, /) -> Any: ... def itruediv(a: Any, b: Any, /) -> Any: ... def ixor(a: Any, b: Any, /) -> Any: ... if sys.version_info >= (3, 11): def call(obj: Callable[_P, _R], /, *args: _P.args, **kwargs: _P.kwargs) -> _R: ... def _compare_digest(a: AnyStr, b: AnyStr, /) -> bool: ... if sys.version_info >= (3, 14): def is_none(a: object, /) -> TypeIs[None]: ... def is_not_none(a: _T | None, /) -> TypeIs[_T]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_osx_support.pyi0000644000175100017510000000355415112307767021661 0ustar00runnerrunnerfrom collections.abc import Iterable, Sequence from typing import Final, TypeVar _T = TypeVar("_T") _K = TypeVar("_K") _V = TypeVar("_V") __all__ = ["compiler_fixup", "customize_config_vars", "customize_compiler", "get_platform_osx"] _UNIVERSAL_CONFIG_VARS: Final[tuple[str, ...]] # undocumented _COMPILER_CONFIG_VARS: Final[tuple[str, ...]] # undocumented _INITPRE: Final[str] # undocumented def _find_executable(executable: str, path: str | None = None) -> str | None: ... # undocumented def _read_output(commandstring: str, capture_stderr: bool = False) -> str | None: ... # undocumented def _find_build_tool(toolname: str) -> str: ... # undocumented _SYSTEM_VERSION: Final[str | None] # undocumented def _get_system_version() -> str: ... # undocumented def _remove_original_values(_config_vars: dict[str, str]) -> None: ... # undocumented def _save_modified_value(_config_vars: dict[str, str], cv: str, newvalue: str) -> None: ... # undocumented def _supports_universal_builds() -> bool: ... # undocumented def _find_appropriate_compiler(_config_vars: dict[str, str]) -> dict[str, str]: ... # undocumented def _remove_universal_flags(_config_vars: dict[str, str]) -> dict[str, str]: ... # undocumented def _remove_unsupported_archs(_config_vars: dict[str, str]) -> dict[str, str]: ... # undocumented def _override_all_archs(_config_vars: dict[str, str]) -> dict[str, str]: ... # undocumented def _check_for_unavailable_sdk(_config_vars: dict[str, str]) -> dict[str, str]: ... # undocumented def compiler_fixup(compiler_so: Iterable[str], cc_args: Sequence[str]) -> list[str]: ... def customize_config_vars(_config_vars: dict[str, str]) -> dict[str, str]: ... def customize_compiler(_config_vars: dict[str, str]) -> dict[str, str]: ... def get_platform_osx( _config_vars: dict[str, str], osname: _T, release: _K, machine: _V ) -> tuple[str | _T, str | _K, str | _V]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_pickle.pyi0000644000175100017510000000633715112307767020525 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer, SupportsWrite from collections.abc import Callable, Iterable, Iterator, Mapping from pickle import PickleBuffer as PickleBuffer from typing import Any, Protocol, type_check_only from typing_extensions import TypeAlias, disjoint_base @type_check_only class _ReadableFileobj(Protocol): def read(self, n: int, /) -> bytes: ... def readline(self) -> bytes: ... _BufferCallback: TypeAlias = Callable[[PickleBuffer], Any] | None _ReducedType: TypeAlias = ( str | tuple[Callable[..., Any], tuple[Any, ...]] | tuple[Callable[..., Any], tuple[Any, ...], Any] | tuple[Callable[..., Any], tuple[Any, ...], Any, Iterator[Any] | None] | tuple[Callable[..., Any], tuple[Any, ...], Any, Iterator[Any] | None, Iterator[Any] | None] ) def dump( obj: Any, file: SupportsWrite[bytes], protocol: int | None = None, *, fix_imports: bool = True, buffer_callback: _BufferCallback = None, ) -> None: ... def dumps( obj: Any, protocol: int | None = None, *, fix_imports: bool = True, buffer_callback: _BufferCallback = None ) -> bytes: ... def load( file: _ReadableFileobj, *, fix_imports: bool = True, encoding: str = "ASCII", errors: str = "strict", buffers: Iterable[Any] | None = (), ) -> Any: ... def loads( data: ReadableBuffer, /, *, fix_imports: bool = True, encoding: str = "ASCII", errors: str = "strict", buffers: Iterable[Any] | None = (), ) -> Any: ... class PickleError(Exception): ... class PicklingError(PickleError): ... class UnpicklingError(PickleError): ... @type_check_only class PicklerMemoProxy: def clear(self, /) -> None: ... def copy(self, /) -> dict[int, tuple[int, Any]]: ... @disjoint_base class Pickler: fast: bool dispatch_table: Mapping[type, Callable[[Any], _ReducedType]] reducer_override: Callable[[Any], Any] bin: bool # undocumented def __init__( self, file: SupportsWrite[bytes], protocol: int | None = None, fix_imports: bool = True, buffer_callback: _BufferCallback = None, ) -> None: ... @property def memo(self) -> PicklerMemoProxy: ... @memo.setter def memo(self, value: PicklerMemoProxy | dict[int, tuple[int, Any]]) -> None: ... def dump(self, obj: Any, /) -> None: ... def clear_memo(self) -> None: ... # this method has no default implementation for Python < 3.13 def persistent_id(self, obj: Any, /) -> Any: ... @type_check_only class UnpicklerMemoProxy: def clear(self, /) -> None: ... def copy(self, /) -> dict[int, tuple[int, Any]]: ... @disjoint_base class Unpickler: def __init__( self, file: _ReadableFileobj, *, fix_imports: bool = True, encoding: str = "ASCII", errors: str = "strict", buffers: Iterable[Any] | None = (), ) -> None: ... @property def memo(self) -> UnpicklerMemoProxy: ... @memo.setter def memo(self, value: UnpicklerMemoProxy | dict[int, tuple[int, Any]]) -> None: ... def load(self) -> Any: ... def find_class(self, module_name: str, global_name: str, /) -> Any: ... # this method has no default implementation for Python < 3.13 def persistent_load(self, pid: Any, /) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_posixsubprocess.pyi0000644000175100017510000000345415112307767022526 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from collections.abc import Callable, Sequence from typing import SupportsIndex if sys.platform != "win32": if sys.version_info >= (3, 14): def fork_exec( args: Sequence[StrOrBytesPath] | None, executable_list: Sequence[bytes], close_fds: bool, pass_fds: tuple[int, ...], cwd: str, env: Sequence[bytes] | None, p2cread: int, p2cwrite: int, c2pread: int, c2pwrite: int, errread: int, errwrite: int, errpipe_read: int, errpipe_write: int, restore_signals: int, call_setsid: int, pgid_to_set: int, gid: SupportsIndex | None, extra_groups: list[int] | None, uid: SupportsIndex | None, child_umask: int, preexec_fn: Callable[[], None], /, ) -> int: ... else: def fork_exec( args: Sequence[StrOrBytesPath] | None, executable_list: Sequence[bytes], close_fds: bool, pass_fds: tuple[int, ...], cwd: str, env: Sequence[bytes] | None, p2cread: int, p2cwrite: int, c2pread: int, c2pwrite: int, errread: int, errwrite: int, errpipe_read: int, errpipe_write: int, restore_signals: bool, call_setsid: bool, pgid_to_set: int, gid: SupportsIndex | None, extra_groups: list[int] | None, uid: SupportsIndex | None, child_umask: int, preexec_fn: Callable[[], None], allow_vfork: bool, /, ) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_py_abc.pyi0000644000175100017510000000061515112307767020504 0ustar00runnerrunnerimport _typeshed from typing import Any, NewType, TypeVar _T = TypeVar("_T") _CacheToken = NewType("_CacheToken", int) def get_cache_token() -> _CacheToken: ... class ABCMeta(type): def __new__( mcls: type[_typeshed.Self], name: str, bases: tuple[type[Any], ...], namespace: dict[str, Any], / ) -> _typeshed.Self: ... def register(cls, subclass: type[_T]) -> type[_T]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_pydecimal.pyi0000644000175100017510000000174315112307767021221 0ustar00runnerrunner# This is a slight lie, the implementations aren't exactly identical # However, in all likelihood, the differences are inconsequential import sys from _decimal import * __all__ = [ "Decimal", "Context", "DecimalTuple", "DefaultContext", "BasicContext", "ExtendedContext", "DecimalException", "Clamped", "InvalidOperation", "DivisionByZero", "Inexact", "Rounded", "Subnormal", "Overflow", "Underflow", "FloatOperation", "DivisionImpossible", "InvalidContext", "ConversionSyntax", "DivisionUndefined", "ROUND_DOWN", "ROUND_HALF_UP", "ROUND_HALF_EVEN", "ROUND_CEILING", "ROUND_FLOOR", "ROUND_UP", "ROUND_HALF_DOWN", "ROUND_05UP", "setcontext", "getcontext", "localcontext", "MAX_PREC", "MAX_EMAX", "MIN_EMIN", "MIN_ETINY", "HAVE_THREADS", "HAVE_CONTEXTVAR", ] if sys.version_info >= (3, 14): __all__ += ["IEEEContext", "IEEE_CONTEXT_MAX_BITS"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_queue.pyi0000644000175100017510000000117215112307767020372 0ustar00runnerrunnerfrom types import GenericAlias from typing import Any, Generic, TypeVar from typing_extensions import disjoint_base _T = TypeVar("_T") class Empty(Exception): ... @disjoint_base class SimpleQueue(Generic[_T]): def __init__(self) -> None: ... def empty(self) -> bool: ... def get(self, block: bool = True, timeout: float | None = None) -> _T: ... def get_nowait(self) -> _T: ... def put(self, item: _T, block: bool = True, timeout: float | None = None) -> None: ... def put_nowait(self, item: _T) -> None: ... def qsize(self) -> int: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_random.pyi0000644000175100017510000000107315112307767020526 0ustar00runnerrunnerimport sys from typing_extensions import Self, TypeAlias, disjoint_base # Actually Tuple[(int,) * 625] _State: TypeAlias = tuple[int, ...] @disjoint_base class Random: if sys.version_info >= (3, 10): def __init__(self, seed: object = ..., /) -> None: ... else: def __new__(self, seed: object = ..., /) -> Self: ... def seed(self, n: object = None, /) -> None: ... def getstate(self) -> _State: ... def setstate(self, state: _State, /) -> None: ... def random(self) -> float: ... def getrandbits(self, k: int, /) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_sitebuiltins.pyi0000644000175100017510000000103215112307767021757 0ustar00runnerrunnerimport sys from collections.abc import Iterable from typing import ClassVar, Literal, NoReturn class Quitter: name: str eof: str def __init__(self, name: str, eof: str) -> None: ... def __call__(self, code: sys._ExitCode = None) -> NoReturn: ... class _Printer: MAXLINES: ClassVar[Literal[23]] def __init__(self, name: str, data: str, files: Iterable[str] = (), dirs: Iterable[str] = ()) -> None: ... def __call__(self) -> None: ... class _Helper: def __call__(self, request: object = ...) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_socket.pyi0000644000175100017510000006647415112307767020556 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer, WriteableBuffer from collections.abc import Iterable from socket import error as error, gaierror as gaierror, herror as herror, timeout as timeout from typing import Any, Final, SupportsIndex, overload from typing_extensions import CapsuleType, TypeAlias, disjoint_base _CMSG: TypeAlias = tuple[int, int, bytes] _CMSGArg: TypeAlias = tuple[int, int, ReadableBuffer] # Addresses can be either tuples of varying lengths (AF_INET, AF_INET6, # AF_NETLINK, AF_TIPC) or strings/buffers (AF_UNIX). # See getsockaddrarg() in socketmodule.c. _Address: TypeAlias = tuple[Any, ...] | str | ReadableBuffer _RetAddress: TypeAlias = Any # ===== Constants ===== # This matches the order in the CPython documentation # https://docs.python.org/3/library/socket.html#constants if sys.platform != "win32": AF_UNIX: Final[int] AF_INET: Final[int] AF_INET6: Final[int] AF_UNSPEC: Final[int] SOCK_STREAM: Final[int] SOCK_DGRAM: Final[int] SOCK_RAW: Final[int] SOCK_RDM: Final[int] SOCK_SEQPACKET: Final[int] if sys.platform == "linux": # Availability: Linux >= 2.6.27 SOCK_CLOEXEC: Final[int] SOCK_NONBLOCK: Final[int] # -------------------- # Many constants of these forms, documented in the Unix documentation on # sockets and/or the IP protocol, are also defined in the socket module. # SO_* # socket.SOMAXCONN # MSG_* # SOL_* # SCM_* # IPPROTO_* # IPPORT_* # INADDR_* # IP_* # IPV6_* # EAI_* # AI_* # NI_* # TCP_* # -------------------- SO_ACCEPTCONN: Final[int] SO_BROADCAST: Final[int] SO_DEBUG: Final[int] SO_DONTROUTE: Final[int] SO_ERROR: Final[int] SO_KEEPALIVE: Final[int] SO_LINGER: Final[int] SO_OOBINLINE: Final[int] SO_RCVBUF: Final[int] SO_RCVLOWAT: Final[int] SO_RCVTIMEO: Final[int] SO_REUSEADDR: Final[int] SO_SNDBUF: Final[int] SO_SNDLOWAT: Final[int] SO_SNDTIMEO: Final[int] SO_TYPE: Final[int] if sys.platform != "linux": SO_USELOOPBACK: Final[int] if sys.platform == "win32": SO_EXCLUSIVEADDRUSE: Final[int] if sys.platform != "win32": SO_REUSEPORT: Final[int] if sys.platform != "darwin" or sys.version_info >= (3, 13): SO_BINDTODEVICE: Final[int] if sys.platform != "win32" and sys.platform != "darwin": SO_DOMAIN: Final[int] SO_MARK: Final[int] SO_PASSCRED: Final[int] SO_PASSSEC: Final[int] SO_PEERCRED: Final[int] SO_PEERSEC: Final[int] SO_PRIORITY: Final[int] SO_PROTOCOL: Final[int] if sys.platform != "win32" and sys.platform != "darwin" and sys.platform != "linux": SO_SETFIB: Final[int] if sys.platform == "linux" and sys.version_info >= (3, 13): SO_BINDTOIFINDEX: Final[int] SOMAXCONN: Final[int] MSG_CTRUNC: Final[int] MSG_DONTROUTE: Final[int] MSG_OOB: Final[int] MSG_PEEK: Final[int] MSG_TRUNC: Final[int] MSG_WAITALL: Final[int] if sys.platform != "win32": MSG_DONTWAIT: Final[int] MSG_EOR: Final[int] MSG_NOSIGNAL: Final[int] # Sometimes this exists on darwin, sometimes not if sys.platform != "darwin": MSG_ERRQUEUE: Final[int] if sys.platform == "win32": MSG_BCAST: Final[int] MSG_MCAST: Final[int] if sys.platform != "win32" and sys.platform != "darwin": MSG_CMSG_CLOEXEC: Final[int] MSG_CONFIRM: Final[int] MSG_FASTOPEN: Final[int] MSG_MORE: Final[int] if sys.platform != "win32" and sys.platform != "linux": MSG_EOF: Final[int] if sys.platform != "win32" and sys.platform != "linux" and sys.platform != "darwin": MSG_NOTIFICATION: Final[int] MSG_BTAG: Final[int] # Not FreeBSD either MSG_ETAG: Final[int] # Not FreeBSD either SOL_IP: Final[int] SOL_SOCKET: Final[int] SOL_TCP: Final[int] SOL_UDP: Final[int] if sys.platform != "win32" and sys.platform != "darwin": # Defined in socket.h for Linux, but these aren't always present for # some reason. SOL_ATALK: Final[int] SOL_AX25: Final[int] SOL_HCI: Final[int] SOL_IPX: Final[int] SOL_NETROM: Final[int] SOL_ROSE: Final[int] if sys.platform != "win32": SCM_RIGHTS: Final[int] if sys.platform != "win32" and sys.platform != "darwin": SCM_CREDENTIALS: Final[int] if sys.platform != "win32" and sys.platform != "linux": SCM_CREDS: Final[int] IPPROTO_ICMP: Final[int] IPPROTO_IP: Final[int] IPPROTO_RAW: Final[int] IPPROTO_TCP: Final[int] IPPROTO_UDP: Final[int] IPPROTO_AH: Final[int] IPPROTO_DSTOPTS: Final[int] IPPROTO_EGP: Final[int] IPPROTO_ESP: Final[int] IPPROTO_FRAGMENT: Final[int] IPPROTO_HOPOPTS: Final[int] IPPROTO_ICMPV6: Final[int] IPPROTO_IDP: Final[int] IPPROTO_IGMP: Final[int] IPPROTO_IPV6: Final[int] IPPROTO_NONE: Final[int] IPPROTO_PIM: Final[int] IPPROTO_PUP: Final[int] IPPROTO_ROUTING: Final[int] IPPROTO_SCTP: Final[int] if sys.platform != "linux": IPPROTO_GGP: Final[int] IPPROTO_IPV4: Final[int] IPPROTO_MAX: Final[int] IPPROTO_ND: Final[int] if sys.platform == "win32": IPPROTO_CBT: Final[int] IPPROTO_ICLFXBM: Final[int] IPPROTO_IGP: Final[int] IPPROTO_L2TP: Final[int] IPPROTO_PGM: Final[int] IPPROTO_RDP: Final[int] IPPROTO_ST: Final[int] if sys.platform != "win32": IPPROTO_GRE: Final[int] IPPROTO_IPIP: Final[int] IPPROTO_RSVP: Final[int] IPPROTO_TP: Final[int] if sys.platform != "win32" and sys.platform != "linux": IPPROTO_EON: Final[int] IPPROTO_HELLO: Final[int] IPPROTO_IPCOMP: Final[int] IPPROTO_XTP: Final[int] if sys.platform != "win32" and sys.platform != "darwin" and sys.platform != "linux": IPPROTO_BIP: Final[int] # Not FreeBSD either IPPROTO_MOBILE: Final[int] # Not FreeBSD either IPPROTO_VRRP: Final[int] # Not FreeBSD either if sys.platform == "linux": # Availability: Linux >= 2.6.20, FreeBSD >= 10.1 IPPROTO_UDPLITE: Final[int] if sys.version_info >= (3, 10) and sys.platform == "linux": IPPROTO_MPTCP: Final[int] IPPORT_RESERVED: Final[int] IPPORT_USERRESERVED: Final[int] INADDR_ALLHOSTS_GROUP: Final[int] INADDR_ANY: Final[int] INADDR_BROADCAST: Final[int] INADDR_LOOPBACK: Final[int] INADDR_MAX_LOCAL_GROUP: Final[int] INADDR_NONE: Final[int] INADDR_UNSPEC_GROUP: Final[int] IP_ADD_MEMBERSHIP: Final[int] IP_DROP_MEMBERSHIP: Final[int] IP_HDRINCL: Final[int] IP_MULTICAST_IF: Final[int] IP_MULTICAST_LOOP: Final[int] IP_MULTICAST_TTL: Final[int] IP_OPTIONS: Final[int] if sys.platform != "linux": IP_RECVDSTADDR: Final[int] if sys.version_info >= (3, 10): IP_RECVTOS: Final[int] IP_TOS: Final[int] IP_TTL: Final[int] if sys.platform != "win32": IP_DEFAULT_MULTICAST_LOOP: Final[int] IP_DEFAULT_MULTICAST_TTL: Final[int] IP_MAX_MEMBERSHIPS: Final[int] IP_RECVOPTS: Final[int] IP_RECVRETOPTS: Final[int] IP_RETOPTS: Final[int] if sys.version_info >= (3, 13) and sys.platform == "linux": CAN_RAW_ERR_FILTER: Final[int] if sys.version_info >= (3, 14): IP_RECVTTL: Final[int] if sys.platform == "win32" or sys.platform == "linux": IPV6_RECVERR: Final[int] IP_RECVERR: Final[int] SO_ORIGINAL_DST: Final[int] if sys.platform == "win32": SOL_RFCOMM: Final[int] SO_BTH_ENCRYPT: Final[int] SO_BTH_MTU: Final[int] SO_BTH_MTU_MAX: Final[int] SO_BTH_MTU_MIN: Final[int] TCP_QUICKACK: Final[int] if sys.platform == "linux": IP_FREEBIND: Final[int] IP_RECVORIGDSTADDR: Final[int] VMADDR_CID_LOCAL: Final[int] if sys.platform != "win32" and sys.platform != "darwin": IP_TRANSPARENT: Final[int] if sys.platform != "win32" and sys.platform != "darwin" and sys.version_info >= (3, 11): IP_BIND_ADDRESS_NO_PORT: Final[int] if sys.version_info >= (3, 12): IP_ADD_SOURCE_MEMBERSHIP: Final[int] IP_BLOCK_SOURCE: Final[int] IP_DROP_SOURCE_MEMBERSHIP: Final[int] IP_PKTINFO: Final[int] IP_UNBLOCK_SOURCE: Final[int] IPV6_CHECKSUM: Final[int] IPV6_JOIN_GROUP: Final[int] IPV6_LEAVE_GROUP: Final[int] IPV6_MULTICAST_HOPS: Final[int] IPV6_MULTICAST_IF: Final[int] IPV6_MULTICAST_LOOP: Final[int] IPV6_RECVTCLASS: Final[int] IPV6_TCLASS: Final[int] IPV6_UNICAST_HOPS: Final[int] IPV6_V6ONLY: Final[int] IPV6_DONTFRAG: Final[int] IPV6_HOPLIMIT: Final[int] IPV6_HOPOPTS: Final[int] IPV6_PKTINFO: Final[int] IPV6_RECVRTHDR: Final[int] IPV6_RTHDR: Final[int] if sys.platform != "win32": IPV6_RTHDR_TYPE_0: Final[int] IPV6_DSTOPTS: Final[int] IPV6_NEXTHOP: Final[int] IPV6_PATHMTU: Final[int] IPV6_RECVDSTOPTS: Final[int] IPV6_RECVHOPLIMIT: Final[int] IPV6_RECVHOPOPTS: Final[int] IPV6_RECVPATHMTU: Final[int] IPV6_RECVPKTINFO: Final[int] IPV6_RTHDRDSTOPTS: Final[int] if sys.platform != "win32" and sys.platform != "linux": IPV6_USE_MIN_MTU: Final[int] EAI_AGAIN: Final[int] EAI_BADFLAGS: Final[int] EAI_FAIL: Final[int] EAI_FAMILY: Final[int] EAI_MEMORY: Final[int] EAI_NODATA: Final[int] EAI_NONAME: Final[int] EAI_SERVICE: Final[int] EAI_SOCKTYPE: Final[int] if sys.platform != "win32": EAI_ADDRFAMILY: Final[int] EAI_OVERFLOW: Final[int] EAI_SYSTEM: Final[int] if sys.platform != "win32" and sys.platform != "linux": EAI_BADHINTS: Final[int] EAI_MAX: Final[int] EAI_PROTOCOL: Final[int] AI_ADDRCONFIG: Final[int] AI_ALL: Final[int] AI_CANONNAME: Final[int] AI_NUMERICHOST: Final[int] AI_NUMERICSERV: Final[int] AI_PASSIVE: Final[int] AI_V4MAPPED: Final[int] if sys.platform != "win32" and sys.platform != "linux": AI_DEFAULT: Final[int] AI_MASK: Final[int] AI_V4MAPPED_CFG: Final[int] NI_DGRAM: Final[int] NI_MAXHOST: Final[int] NI_MAXSERV: Final[int] NI_NAMEREQD: Final[int] NI_NOFQDN: Final[int] NI_NUMERICHOST: Final[int] NI_NUMERICSERV: Final[int] if sys.platform == "linux" and sys.version_info >= (3, 13): NI_IDN: Final[int] TCP_FASTOPEN: Final[int] TCP_KEEPCNT: Final[int] TCP_KEEPINTVL: Final[int] TCP_MAXSEG: Final[int] TCP_NODELAY: Final[int] if sys.platform != "win32": TCP_NOTSENT_LOWAT: Final[int] if sys.platform != "darwin": TCP_KEEPIDLE: Final[int] if sys.version_info >= (3, 10) and sys.platform == "darwin": TCP_KEEPALIVE: Final[int] if sys.version_info >= (3, 11) and sys.platform == "darwin": TCP_CONNECTION_INFO: Final[int] if sys.platform != "win32" and sys.platform != "darwin": TCP_CONGESTION: Final[int] TCP_CORK: Final[int] TCP_DEFER_ACCEPT: Final[int] TCP_INFO: Final[int] TCP_LINGER2: Final[int] TCP_QUICKACK: Final[int] TCP_SYNCNT: Final[int] TCP_USER_TIMEOUT: Final[int] TCP_WINDOW_CLAMP: Final[int] if sys.platform == "linux" and sys.version_info >= (3, 12): TCP_CC_INFO: Final[int] TCP_FASTOPEN_CONNECT: Final[int] TCP_FASTOPEN_KEY: Final[int] TCP_FASTOPEN_NO_COOKIE: Final[int] TCP_INQ: Final[int] TCP_MD5SIG: Final[int] TCP_MD5SIG_EXT: Final[int] TCP_QUEUE_SEQ: Final[int] TCP_REPAIR: Final[int] TCP_REPAIR_OPTIONS: Final[int] TCP_REPAIR_QUEUE: Final[int] TCP_REPAIR_WINDOW: Final[int] TCP_SAVED_SYN: Final[int] TCP_SAVE_SYN: Final[int] TCP_THIN_DUPACK: Final[int] TCP_THIN_LINEAR_TIMEOUTS: Final[int] TCP_TIMESTAMP: Final[int] TCP_TX_DELAY: Final[int] TCP_ULP: Final[int] TCP_ZEROCOPY_RECEIVE: Final[int] # -------------------- # Specifically documented constants # -------------------- if sys.platform == "linux": # Availability: Linux >= 2.6.25, NetBSD >= 8 AF_CAN: Final[int] PF_CAN: Final[int] SOL_CAN_BASE: Final[int] SOL_CAN_RAW: Final[int] CAN_EFF_FLAG: Final[int] CAN_EFF_MASK: Final[int] CAN_ERR_FLAG: Final[int] CAN_ERR_MASK: Final[int] CAN_RAW: Final[int] CAN_RAW_FILTER: Final[int] CAN_RAW_LOOPBACK: Final[int] CAN_RAW_RECV_OWN_MSGS: Final[int] CAN_RTR_FLAG: Final[int] CAN_SFF_MASK: Final[int] if sys.version_info < (3, 11): CAN_RAW_ERR_FILTER: Final[int] if sys.platform == "linux": # Availability: Linux >= 2.6.25 CAN_BCM: Final[int] CAN_BCM_TX_SETUP: Final[int] CAN_BCM_TX_DELETE: Final[int] CAN_BCM_TX_READ: Final[int] CAN_BCM_TX_SEND: Final[int] CAN_BCM_RX_SETUP: Final[int] CAN_BCM_RX_DELETE: Final[int] CAN_BCM_RX_READ: Final[int] CAN_BCM_TX_STATUS: Final[int] CAN_BCM_TX_EXPIRED: Final[int] CAN_BCM_RX_STATUS: Final[int] CAN_BCM_RX_TIMEOUT: Final[int] CAN_BCM_RX_CHANGED: Final[int] CAN_BCM_SETTIMER: Final[int] CAN_BCM_STARTTIMER: Final[int] CAN_BCM_TX_COUNTEVT: Final[int] CAN_BCM_TX_ANNOUNCE: Final[int] CAN_BCM_TX_CP_CAN_ID: Final[int] CAN_BCM_RX_FILTER_ID: Final[int] CAN_BCM_RX_CHECK_DLC: Final[int] CAN_BCM_RX_NO_AUTOTIMER: Final[int] CAN_BCM_RX_ANNOUNCE_RESUME: Final[int] CAN_BCM_TX_RESET_MULTI_IDX: Final[int] CAN_BCM_RX_RTR_FRAME: Final[int] CAN_BCM_CAN_FD_FRAME: Final[int] if sys.platform == "linux": # Availability: Linux >= 3.6 CAN_RAW_FD_FRAMES: Final[int] # Availability: Linux >= 4.1 CAN_RAW_JOIN_FILTERS: Final[int] # Availability: Linux >= 2.6.25 CAN_ISOTP: Final[int] # Availability: Linux >= 5.4 CAN_J1939: Final[int] J1939_MAX_UNICAST_ADDR: Final[int] J1939_IDLE_ADDR: Final[int] J1939_NO_ADDR: Final[int] J1939_NO_NAME: Final[int] J1939_PGN_REQUEST: Final[int] J1939_PGN_ADDRESS_CLAIMED: Final[int] J1939_PGN_ADDRESS_COMMANDED: Final[int] J1939_PGN_PDU1_MAX: Final[int] J1939_PGN_MAX: Final[int] J1939_NO_PGN: Final[int] SO_J1939_FILTER: Final[int] SO_J1939_PROMISC: Final[int] SO_J1939_SEND_PRIO: Final[int] SO_J1939_ERRQUEUE: Final[int] SCM_J1939_DEST_ADDR: Final[int] SCM_J1939_DEST_NAME: Final[int] SCM_J1939_PRIO: Final[int] SCM_J1939_ERRQUEUE: Final[int] J1939_NLA_PAD: Final[int] J1939_NLA_BYTES_ACKED: Final[int] J1939_EE_INFO_NONE: Final[int] J1939_EE_INFO_TX_ABORT: Final[int] J1939_FILTER_MAX: Final[int] if sys.version_info >= (3, 12) and sys.platform != "linux" and sys.platform != "win32" and sys.platform != "darwin": # Availability: FreeBSD >= 14.0 AF_DIVERT: Final[int] PF_DIVERT: Final[int] if sys.platform == "linux": # Availability: Linux >= 2.2 AF_PACKET: Final[int] PF_PACKET: Final[int] PACKET_BROADCAST: Final[int] PACKET_FASTROUTE: Final[int] PACKET_HOST: Final[int] PACKET_LOOPBACK: Final[int] PACKET_MULTICAST: Final[int] PACKET_OTHERHOST: Final[int] PACKET_OUTGOING: Final[int] if sys.version_info >= (3, 12) and sys.platform == "linux": ETH_P_ALL: Final[int] if sys.platform == "linux": # Availability: Linux >= 2.6.30 AF_RDS: Final[int] PF_RDS: Final[int] SOL_RDS: Final[int] # These are present in include/linux/rds.h but don't always show up # here. RDS_CANCEL_SENT_TO: Final[int] RDS_CMSG_RDMA_ARGS: Final[int] RDS_CMSG_RDMA_DEST: Final[int] RDS_CMSG_RDMA_MAP: Final[int] RDS_CMSG_RDMA_STATUS: Final[int] RDS_CONG_MONITOR: Final[int] RDS_FREE_MR: Final[int] RDS_GET_MR: Final[int] RDS_GET_MR_FOR_DEST: Final[int] RDS_RDMA_DONTWAIT: Final[int] RDS_RDMA_FENCE: Final[int] RDS_RDMA_INVALIDATE: Final[int] RDS_RDMA_NOTIFY_ME: Final[int] RDS_RDMA_READWRITE: Final[int] RDS_RDMA_SILENT: Final[int] RDS_RDMA_USE_ONCE: Final[int] RDS_RECVERR: Final[int] # This is supported by CPython but doesn't seem to be a real thing. # The closest existing constant in rds.h is RDS_CMSG_CONG_UPDATE # RDS_CMSG_RDMA_UPDATE: Final[int] if sys.platform == "win32": SIO_RCVALL: Final[int] SIO_KEEPALIVE_VALS: Final[int] SIO_LOOPBACK_FAST_PATH: Final[int] RCVALL_MAX: Final[int] RCVALL_OFF: Final[int] RCVALL_ON: Final[int] RCVALL_SOCKETLEVELONLY: Final[int] if sys.platform == "linux": AF_TIPC: Final[int] SOL_TIPC: Final[int] TIPC_ADDR_ID: Final[int] TIPC_ADDR_NAME: Final[int] TIPC_ADDR_NAMESEQ: Final[int] TIPC_CFG_SRV: Final[int] TIPC_CLUSTER_SCOPE: Final[int] TIPC_CONN_TIMEOUT: Final[int] TIPC_CRITICAL_IMPORTANCE: Final[int] TIPC_DEST_DROPPABLE: Final[int] TIPC_HIGH_IMPORTANCE: Final[int] TIPC_IMPORTANCE: Final[int] TIPC_LOW_IMPORTANCE: Final[int] TIPC_MEDIUM_IMPORTANCE: Final[int] TIPC_NODE_SCOPE: Final[int] TIPC_PUBLISHED: Final[int] TIPC_SRC_DROPPABLE: Final[int] TIPC_SUBSCR_TIMEOUT: Final[int] TIPC_SUB_CANCEL: Final[int] TIPC_SUB_PORTS: Final[int] TIPC_SUB_SERVICE: Final[int] TIPC_TOP_SRV: Final[int] TIPC_WAIT_FOREVER: Final[int] TIPC_WITHDRAWN: Final[int] TIPC_ZONE_SCOPE: Final[int] if sys.platform == "linux": # Availability: Linux >= 2.6.38 AF_ALG: Final[int] SOL_ALG: Final[int] ALG_OP_DECRYPT: Final[int] ALG_OP_ENCRYPT: Final[int] ALG_OP_SIGN: Final[int] ALG_OP_VERIFY: Final[int] ALG_SET_AEAD_ASSOCLEN: Final[int] ALG_SET_AEAD_AUTHSIZE: Final[int] ALG_SET_IV: Final[int] ALG_SET_KEY: Final[int] ALG_SET_OP: Final[int] ALG_SET_PUBKEY: Final[int] if sys.platform == "linux": # Availability: Linux >= 4.8 (or maybe 3.9, CPython docs are confusing) AF_VSOCK: Final[int] IOCTL_VM_SOCKETS_GET_LOCAL_CID: Final = 0x7B9 VMADDR_CID_ANY: Final = 0xFFFFFFFF VMADDR_CID_HOST: Final = 2 VMADDR_PORT_ANY: Final = 0xFFFFFFFF SO_VM_SOCKETS_BUFFER_MAX_SIZE: Final = 2 SO_VM_SOCKETS_BUFFER_SIZE: Final = 0 SO_VM_SOCKETS_BUFFER_MIN_SIZE: Final = 1 VM_SOCKETS_INVALID_VERSION: Final = 0xFFFFFFFF # undocumented # Documented as only available on BSD, macOS, but empirically sometimes # available on Windows if sys.platform != "linux": AF_LINK: Final[int] has_ipv6: bool if sys.platform != "darwin" and sys.platform != "linux": BDADDR_ANY: Final = "00:00:00:00:00:00" BDADDR_LOCAL: Final = "00:00:00:FF:FF:FF" if sys.platform != "win32" and sys.platform != "darwin" and sys.platform != "linux": HCI_FILTER: Final[int] # not in NetBSD or DragonFlyBSD HCI_TIME_STAMP: Final[int] # not in FreeBSD, NetBSD, or DragonFlyBSD HCI_DATA_DIR: Final[int] # not in FreeBSD, NetBSD, or DragonFlyBSD if sys.platform == "linux": AF_QIPCRTR: Final[int] # Availability: Linux >= 4.7 if sys.version_info >= (3, 11) and sys.platform != "linux" and sys.platform != "win32" and sys.platform != "darwin": # FreeBSD SCM_CREDS2: Final[int] LOCAL_CREDS: Final[int] LOCAL_CREDS_PERSISTENT: Final[int] if sys.version_info >= (3, 11) and sys.platform == "linux": SO_INCOMING_CPU: Final[int] # Availability: Linux >= 3.9 if sys.version_info >= (3, 12) and sys.platform == "win32": # Availability: Windows AF_HYPERV: Final[int] HV_PROTOCOL_RAW: Final[int] HVSOCKET_CONNECT_TIMEOUT: Final[int] HVSOCKET_CONNECT_TIMEOUT_MAX: Final[int] HVSOCKET_CONNECTED_SUSPEND: Final[int] HVSOCKET_ADDRESS_FLAG_PASSTHRU: Final[int] HV_GUID_ZERO: Final = "00000000-0000-0000-0000-000000000000" HV_GUID_WILDCARD: Final = "00000000-0000-0000-0000-000000000000" HV_GUID_BROADCAST: Final = "FFFFFFFF-FFFF-FFFF-FFFF-FFFFFFFFFFFF" HV_GUID_CHILDREN: Final = "90DB8B89-0D35-4F79-8CE9-49EA0AC8B7CD" HV_GUID_LOOPBACK: Final = "E0E16197-DD56-4A10-9195-5EE7A155A838" HV_GUID_PARENT: Final = "A42E7CDA-D03F-480C-9CC2-A4DE20ABB878" if sys.version_info >= (3, 12): if sys.platform != "win32": # Availability: Linux, FreeBSD, macOS ETHERTYPE_ARP: Final[int] ETHERTYPE_IP: Final[int] ETHERTYPE_IPV6: Final[int] ETHERTYPE_VLAN: Final[int] # -------------------- # Semi-documented constants # These are alluded to under the "Socket families" section in the docs # https://docs.python.org/3/library/socket.html#socket-families # -------------------- if sys.platform == "linux": # Netlink is defined by Linux AF_NETLINK: Final[int] NETLINK_CRYPTO: Final[int] NETLINK_DNRTMSG: Final[int] NETLINK_FIREWALL: Final[int] NETLINK_IP6_FW: Final[int] NETLINK_NFLOG: Final[int] NETLINK_ROUTE: Final[int] NETLINK_USERSOCK: Final[int] NETLINK_XFRM: Final[int] # Technically still supported by CPython # NETLINK_ARPD: Final[int] # linux 2.0 to 2.6.12 (EOL August 2005) # NETLINK_ROUTE6: Final[int] # linux 2.2 to 2.6.12 (EOL August 2005) # NETLINK_SKIP: Final[int] # linux 2.0 to 2.6.12 (EOL August 2005) # NETLINK_TAPBASE: Final[int] # linux 2.2 to 2.6.12 (EOL August 2005) # NETLINK_TCPDIAG: Final[int] # linux 2.6.0 to 2.6.13 (EOL December 2005) # NETLINK_W1: Final[int] # linux 2.6.13 to 2.6.17 (EOL October 2006) if sys.platform == "darwin": PF_SYSTEM: Final[int] SYSPROTO_CONTROL: Final[int] if sys.platform != "darwin" and sys.platform != "linux": AF_BLUETOOTH: Final[int] if sys.platform != "win32" and sys.platform != "darwin" and sys.platform != "linux": # Linux and some BSD support is explicit in the docs # Windows and macOS do not support in practice BTPROTO_HCI: Final[int] BTPROTO_L2CAP: Final[int] BTPROTO_SCO: Final[int] # not in FreeBSD if sys.platform != "darwin" and sys.platform != "linux": BTPROTO_RFCOMM: Final[int] if sys.platform == "linux": UDPLITE_RECV_CSCOV: Final[int] UDPLITE_SEND_CSCOV: Final[int] # -------------------- # Documented under socket.shutdown # -------------------- SHUT_RD: Final[int] SHUT_RDWR: Final[int] SHUT_WR: Final[int] # -------------------- # Undocumented constants # -------------------- # Undocumented address families AF_APPLETALK: Final[int] AF_DECnet: Final[int] AF_IPX: Final[int] AF_SNA: Final[int] if sys.platform != "win32": AF_ROUTE: Final[int] if sys.platform == "darwin": AF_SYSTEM: Final[int] if sys.platform != "darwin": AF_IRDA: Final[int] if sys.platform != "win32" and sys.platform != "darwin": AF_ASH: Final[int] AF_ATMPVC: Final[int] AF_ATMSVC: Final[int] AF_AX25: Final[int] AF_BRIDGE: Final[int] AF_ECONET: Final[int] AF_KEY: Final[int] AF_LLC: Final[int] AF_NETBEUI: Final[int] AF_NETROM: Final[int] AF_PPPOX: Final[int] AF_ROSE: Final[int] AF_SECURITY: Final[int] AF_WANPIPE: Final[int] AF_X25: Final[int] # Miscellaneous undocumented if sys.platform != "win32" and sys.platform != "linux": LOCAL_PEERCRED: Final[int] if sys.platform != "win32" and sys.platform != "darwin": # Defined in linux socket.h, but this isn't always present for # some reason. IPX_TYPE: Final[int] # ===== Classes ===== @disjoint_base class socket: @property def family(self) -> int: ... @property def type(self) -> int: ... @property def proto(self) -> int: ... # F811: "Redefinition of unused `timeout`" @property def timeout(self) -> float | None: ... # noqa: F811 if sys.platform == "win32": def __init__( self, family: int = ..., type: int = ..., proto: int = ..., fileno: SupportsIndex | bytes | None = None ) -> None: ... else: def __init__(self, family: int = ..., type: int = ..., proto: int = ..., fileno: SupportsIndex | None = None) -> None: ... def bind(self, address: _Address, /) -> None: ... def close(self) -> None: ... def connect(self, address: _Address, /) -> None: ... def connect_ex(self, address: _Address, /) -> int: ... def detach(self) -> int: ... def fileno(self) -> int: ... def getpeername(self) -> _RetAddress: ... def getsockname(self) -> _RetAddress: ... @overload def getsockopt(self, level: int, optname: int, /) -> int: ... @overload def getsockopt(self, level: int, optname: int, buflen: int, /) -> bytes: ... def getblocking(self) -> bool: ... def gettimeout(self) -> float | None: ... if sys.platform == "win32": def ioctl(self, control: int, option: int | tuple[int, int, int] | bool, /) -> None: ... def listen(self, backlog: int = ..., /) -> None: ... def recv(self, bufsize: int, flags: int = 0, /) -> bytes: ... def recvfrom(self, bufsize: int, flags: int = 0, /) -> tuple[bytes, _RetAddress]: ... if sys.platform != "win32": def recvmsg(self, bufsize: int, ancbufsize: int = 0, flags: int = 0, /) -> tuple[bytes, list[_CMSG], int, Any]: ... def recvmsg_into( self, buffers: Iterable[WriteableBuffer], ancbufsize: int = 0, flags: int = 0, / ) -> tuple[int, list[_CMSG], int, Any]: ... def recvfrom_into(self, buffer: WriteableBuffer, nbytes: int = 0, flags: int = 0) -> tuple[int, _RetAddress]: ... def recv_into(self, buffer: WriteableBuffer, nbytes: int = 0, flags: int = 0) -> int: ... def send(self, data: ReadableBuffer, flags: int = 0, /) -> int: ... def sendall(self, data: ReadableBuffer, flags: int = 0, /) -> None: ... @overload def sendto(self, data: ReadableBuffer, address: _Address, /) -> int: ... @overload def sendto(self, data: ReadableBuffer, flags: int, address: _Address, /) -> int: ... if sys.platform != "win32": def sendmsg( self, buffers: Iterable[ReadableBuffer], ancdata: Iterable[_CMSGArg] = ..., flags: int = 0, address: _Address | None = None, /, ) -> int: ... if sys.platform == "linux": def sendmsg_afalg( self, msg: Iterable[ReadableBuffer] = ..., *, op: int, iv: Any = ..., assoclen: int = ..., flags: int = 0 ) -> int: ... def setblocking(self, flag: bool, /) -> None: ... def settimeout(self, value: float | None, /) -> None: ... @overload def setsockopt(self, level: int, optname: int, value: int | ReadableBuffer, /) -> None: ... @overload def setsockopt(self, level: int, optname: int, value: None, optlen: int, /) -> None: ... if sys.platform == "win32": def share(self, process_id: int, /) -> bytes: ... def shutdown(self, how: int, /) -> None: ... SocketType = socket # ===== Functions ===== def close(fd: SupportsIndex, /) -> None: ... def dup(fd: SupportsIndex, /) -> int: ... # the 5th tuple item is an address def getaddrinfo( host: bytes | str | None, port: bytes | str | int | None, family: int = ..., type: int = 0, proto: int = 0, flags: int = 0 ) -> list[tuple[int, int, int, str, tuple[str, int] | tuple[str, int, int, int] | tuple[int, bytes]]]: ... def gethostbyname(hostname: str, /) -> str: ... def gethostbyname_ex(hostname: str, /) -> tuple[str, list[str], list[str]]: ... def gethostname() -> str: ... def gethostbyaddr(ip_address: str, /) -> tuple[str, list[str], list[str]]: ... def getnameinfo(sockaddr: tuple[str, int] | tuple[str, int, int, int] | tuple[int, bytes], flags: int, /) -> tuple[str, str]: ... def getprotobyname(protocolname: str, /) -> int: ... def getservbyname(servicename: str, protocolname: str = ..., /) -> int: ... def getservbyport(port: int, protocolname: str = ..., /) -> str: ... def ntohl(x: int, /) -> int: ... # param & ret val are 32-bit ints def ntohs(x: int, /) -> int: ... # param & ret val are 16-bit ints def htonl(x: int, /) -> int: ... # param & ret val are 32-bit ints def htons(x: int, /) -> int: ... # param & ret val are 16-bit ints def inet_aton(ip_addr: str, /) -> bytes: ... # ret val 4 bytes in length def inet_ntoa(packed_ip: ReadableBuffer, /) -> str: ... def inet_pton(address_family: int, ip_string: str, /) -> bytes: ... def inet_ntop(address_family: int, packed_ip: ReadableBuffer, /) -> str: ... def getdefaulttimeout() -> float | None: ... # F811: "Redefinition of unused `timeout`" def setdefaulttimeout(timeout: float | None, /) -> None: ... # noqa: F811 if sys.platform != "win32": def sethostname(name: str, /) -> None: ... def CMSG_LEN(length: int, /) -> int: ... def CMSG_SPACE(length: int, /) -> int: ... def socketpair(family: int = ..., type: int = ..., proto: int = 0, /) -> tuple[socket, socket]: ... def if_nameindex() -> list[tuple[int, str]]: ... def if_nametoindex(oname: str, /) -> int: ... if sys.version_info >= (3, 14): def if_indextoname(if_index: int, /) -> str: ... else: def if_indextoname(index: int, /) -> str: ... CAPI: CapsuleType ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_sqlite3.pyi0000644000175100017510000002457615112307767020647 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer, StrOrBytesPath from collections.abc import Callable from sqlite3 import ( Connection as Connection, Cursor as Cursor, DatabaseError as DatabaseError, DataError as DataError, Error as Error, IntegrityError as IntegrityError, InterfaceError as InterfaceError, InternalError as InternalError, NotSupportedError as NotSupportedError, OperationalError as OperationalError, PrepareProtocol as PrepareProtocol, ProgrammingError as ProgrammingError, Row as Row, Warning as Warning, _IsolationLevel, ) from typing import Any, Final, Literal, TypeVar, overload from typing_extensions import TypeAlias if sys.version_info >= (3, 11): from sqlite3 import Blob as Blob _T = TypeVar("_T") _ConnectionT = TypeVar("_ConnectionT", bound=Connection) _SqliteData: TypeAlias = str | ReadableBuffer | int | float | None _Adapter: TypeAlias = Callable[[_T], _SqliteData] _Converter: TypeAlias = Callable[[bytes], Any] PARSE_COLNAMES: Final = 2 PARSE_DECLTYPES: Final = 1 SQLITE_ALTER_TABLE: Final = 26 SQLITE_ANALYZE: Final = 28 SQLITE_ATTACH: Final = 24 SQLITE_CREATE_INDEX: Final = 1 SQLITE_CREATE_TABLE: Final = 2 SQLITE_CREATE_TEMP_INDEX: Final = 3 SQLITE_CREATE_TEMP_TABLE: Final = 4 SQLITE_CREATE_TEMP_TRIGGER: Final = 5 SQLITE_CREATE_TEMP_VIEW: Final = 6 SQLITE_CREATE_TRIGGER: Final = 7 SQLITE_CREATE_VIEW: Final = 8 SQLITE_CREATE_VTABLE: Final = 29 SQLITE_DELETE: Final = 9 SQLITE_DENY: Final = 1 SQLITE_DETACH: Final = 25 SQLITE_DONE: Final = 101 SQLITE_DROP_INDEX: Final = 10 SQLITE_DROP_TABLE: Final = 11 SQLITE_DROP_TEMP_INDEX: Final = 12 SQLITE_DROP_TEMP_TABLE: Final = 13 SQLITE_DROP_TEMP_TRIGGER: Final = 14 SQLITE_DROP_TEMP_VIEW: Final = 15 SQLITE_DROP_TRIGGER: Final = 16 SQLITE_DROP_VIEW: Final = 17 SQLITE_DROP_VTABLE: Final = 30 SQLITE_FUNCTION: Final = 31 SQLITE_IGNORE: Final = 2 SQLITE_INSERT: Final = 18 SQLITE_OK: Final = 0 SQLITE_PRAGMA: Final = 19 SQLITE_READ: Final = 20 SQLITE_RECURSIVE: Final = 33 SQLITE_REINDEX: Final = 27 SQLITE_SAVEPOINT: Final = 32 SQLITE_SELECT: Final = 21 SQLITE_TRANSACTION: Final = 22 SQLITE_UPDATE: Final = 23 adapters: dict[tuple[type[Any], type[Any]], _Adapter[Any]] converters: dict[str, _Converter] sqlite_version: str if sys.version_info < (3, 12): version: str if sys.version_info >= (3, 12): LEGACY_TRANSACTION_CONTROL: Final = -1 SQLITE_DBCONFIG_DEFENSIVE: Final = 1010 SQLITE_DBCONFIG_DQS_DDL: Final = 1014 SQLITE_DBCONFIG_DQS_DML: Final = 1013 SQLITE_DBCONFIG_ENABLE_FKEY: Final = 1002 SQLITE_DBCONFIG_ENABLE_FTS3_TOKENIZER: Final = 1004 SQLITE_DBCONFIG_ENABLE_LOAD_EXTENSION: Final = 1005 SQLITE_DBCONFIG_ENABLE_QPSG: Final = 1007 SQLITE_DBCONFIG_ENABLE_TRIGGER: Final = 1003 SQLITE_DBCONFIG_ENABLE_VIEW: Final = 1015 SQLITE_DBCONFIG_LEGACY_ALTER_TABLE: Final = 1012 SQLITE_DBCONFIG_LEGACY_FILE_FORMAT: Final = 1016 SQLITE_DBCONFIG_NO_CKPT_ON_CLOSE: Final = 1006 SQLITE_DBCONFIG_RESET_DATABASE: Final = 1009 SQLITE_DBCONFIG_TRIGGER_EQP: Final = 1008 SQLITE_DBCONFIG_TRUSTED_SCHEMA: Final = 1017 SQLITE_DBCONFIG_WRITABLE_SCHEMA: Final = 1011 if sys.version_info >= (3, 11): SQLITE_ABORT: Final = 4 SQLITE_ABORT_ROLLBACK: Final = 516 SQLITE_AUTH: Final = 23 SQLITE_AUTH_USER: Final = 279 SQLITE_BUSY: Final = 5 SQLITE_BUSY_RECOVERY: Final = 261 SQLITE_BUSY_SNAPSHOT: Final = 517 SQLITE_BUSY_TIMEOUT: Final = 773 SQLITE_CANTOPEN: Final = 14 SQLITE_CANTOPEN_CONVPATH: Final = 1038 SQLITE_CANTOPEN_DIRTYWAL: Final = 1294 SQLITE_CANTOPEN_FULLPATH: Final = 782 SQLITE_CANTOPEN_ISDIR: Final = 526 SQLITE_CANTOPEN_NOTEMPDIR: Final = 270 SQLITE_CANTOPEN_SYMLINK: Final = 1550 SQLITE_CONSTRAINT: Final = 19 SQLITE_CONSTRAINT_CHECK: Final = 275 SQLITE_CONSTRAINT_COMMITHOOK: Final = 531 SQLITE_CONSTRAINT_FOREIGNKEY: Final = 787 SQLITE_CONSTRAINT_FUNCTION: Final = 1043 SQLITE_CONSTRAINT_NOTNULL: Final = 1299 SQLITE_CONSTRAINT_PINNED: Final = 2835 SQLITE_CONSTRAINT_PRIMARYKEY: Final = 1555 SQLITE_CONSTRAINT_ROWID: Final = 2579 SQLITE_CONSTRAINT_TRIGGER: Final = 1811 SQLITE_CONSTRAINT_UNIQUE: Final = 2067 SQLITE_CONSTRAINT_VTAB: Final = 2323 SQLITE_CORRUPT: Final = 11 SQLITE_CORRUPT_INDEX: Final = 779 SQLITE_CORRUPT_SEQUENCE: Final = 523 SQLITE_CORRUPT_VTAB: Final = 267 SQLITE_EMPTY: Final = 16 SQLITE_ERROR: Final = 1 SQLITE_ERROR_MISSING_COLLSEQ: Final = 257 SQLITE_ERROR_RETRY: Final = 513 SQLITE_ERROR_SNAPSHOT: Final = 769 SQLITE_FORMAT: Final = 24 SQLITE_FULL: Final = 13 SQLITE_INTERNAL: Final = 2 SQLITE_INTERRUPT: Final = 9 SQLITE_IOERR: Final = 10 SQLITE_IOERR_ACCESS: Final = 3338 SQLITE_IOERR_AUTH: Final = 7178 SQLITE_IOERR_BEGIN_ATOMIC: Final = 7434 SQLITE_IOERR_BLOCKED: Final = 2826 SQLITE_IOERR_CHECKRESERVEDLOCK: Final = 3594 SQLITE_IOERR_CLOSE: Final = 4106 SQLITE_IOERR_COMMIT_ATOMIC: Final = 7690 SQLITE_IOERR_CONVPATH: Final = 6666 SQLITE_IOERR_CORRUPTFS: Final = 8458 SQLITE_IOERR_DATA: Final = 8202 SQLITE_IOERR_DELETE: Final = 2570 SQLITE_IOERR_DELETE_NOENT: Final = 5898 SQLITE_IOERR_DIR_CLOSE: Final = 4362 SQLITE_IOERR_DIR_FSYNC: Final = 1290 SQLITE_IOERR_FSTAT: Final = 1802 SQLITE_IOERR_FSYNC: Final = 1034 SQLITE_IOERR_GETTEMPPATH: Final = 6410 SQLITE_IOERR_LOCK: Final = 3850 SQLITE_IOERR_MMAP: Final = 6154 SQLITE_IOERR_NOMEM: Final = 3082 SQLITE_IOERR_RDLOCK: Final = 2314 SQLITE_IOERR_READ: Final = 266 SQLITE_IOERR_ROLLBACK_ATOMIC: Final = 7946 SQLITE_IOERR_SEEK: Final = 5642 SQLITE_IOERR_SHMLOCK: Final = 5130 SQLITE_IOERR_SHMMAP: Final = 5386 SQLITE_IOERR_SHMOPEN: Final = 4618 SQLITE_IOERR_SHMSIZE: Final = 4874 SQLITE_IOERR_SHORT_READ: Final = 522 SQLITE_IOERR_TRUNCATE: Final = 1546 SQLITE_IOERR_UNLOCK: Final = 2058 SQLITE_IOERR_VNODE: Final = 6922 SQLITE_IOERR_WRITE: Final = 778 SQLITE_LIMIT_ATTACHED: Final = 7 SQLITE_LIMIT_COLUMN: Final = 22 SQLITE_LIMIT_COMPOUND_SELECT: Final = 4 SQLITE_LIMIT_EXPR_DEPTH: Final = 3 SQLITE_LIMIT_FUNCTION_ARG: Final = 6 SQLITE_LIMIT_LENGTH: Final = 0 SQLITE_LIMIT_LIKE_PATTERN_LENGTH: Final = 8 SQLITE_LIMIT_SQL_LENGTH: Final = 1 SQLITE_LIMIT_TRIGGER_DEPTH: Final = 10 SQLITE_LIMIT_VARIABLE_NUMBER: Final = 9 SQLITE_LIMIT_VDBE_OP: Final = 5 SQLITE_LIMIT_WORKER_THREADS: Final = 11 SQLITE_LOCKED: Final = 6 SQLITE_LOCKED_SHAREDCACHE: Final = 262 SQLITE_LOCKED_VTAB: Final = 518 SQLITE_MISMATCH: Final = 20 SQLITE_MISUSE: Final = 21 SQLITE_NOLFS: Final = 22 SQLITE_NOMEM: Final = 7 SQLITE_NOTADB: Final = 26 SQLITE_NOTFOUND: Final = 12 SQLITE_NOTICE: Final = 27 SQLITE_NOTICE_RECOVER_ROLLBACK: Final = 539 SQLITE_NOTICE_RECOVER_WAL: Final = 283 SQLITE_OK_LOAD_PERMANENTLY: Final = 256 SQLITE_OK_SYMLINK: Final = 512 SQLITE_PERM: Final = 3 SQLITE_PROTOCOL: Final = 15 SQLITE_RANGE: Final = 25 SQLITE_READONLY: Final = 8 SQLITE_READONLY_CANTINIT: Final = 1288 SQLITE_READONLY_CANTLOCK: Final = 520 SQLITE_READONLY_DBMOVED: Final = 1032 SQLITE_READONLY_DIRECTORY: Final = 1544 SQLITE_READONLY_RECOVERY: Final = 264 SQLITE_READONLY_ROLLBACK: Final = 776 SQLITE_ROW: Final = 100 SQLITE_SCHEMA: Final = 17 SQLITE_TOOBIG: Final = 18 SQLITE_WARNING: Final = 28 SQLITE_WARNING_AUTOINDEX: Final = 284 threadsafety: Literal[0, 1, 3] # Can take or return anything depending on what's in the registry. @overload def adapt(obj: Any, proto: Any, /) -> Any: ... @overload def adapt(obj: Any, proto: Any, alt: _T, /) -> Any | _T: ... def complete_statement(statement: str) -> bool: ... if sys.version_info >= (3, 12): @overload def connect( database: StrOrBytesPath, timeout: float = 5.0, detect_types: int = 0, isolation_level: _IsolationLevel = "DEFERRED", check_same_thread: bool = True, cached_statements: int = 128, uri: bool = False, *, autocommit: bool = ..., ) -> Connection: ... @overload def connect( database: StrOrBytesPath, timeout: float, detect_types: int, isolation_level: _IsolationLevel, check_same_thread: bool, factory: type[_ConnectionT], cached_statements: int = 128, uri: bool = False, *, autocommit: bool = ..., ) -> _ConnectionT: ... @overload def connect( database: StrOrBytesPath, timeout: float = 5.0, detect_types: int = 0, isolation_level: _IsolationLevel = "DEFERRED", check_same_thread: bool = True, *, factory: type[_ConnectionT], cached_statements: int = 128, uri: bool = False, autocommit: bool = ..., ) -> _ConnectionT: ... else: @overload def connect( database: StrOrBytesPath, timeout: float = 5.0, detect_types: int = 0, isolation_level: _IsolationLevel = "DEFERRED", check_same_thread: bool = True, cached_statements: int = 128, uri: bool = False, ) -> Connection: ... @overload def connect( database: StrOrBytesPath, timeout: float, detect_types: int, isolation_level: _IsolationLevel, check_same_thread: bool, factory: type[_ConnectionT], cached_statements: int = 128, uri: bool = False, ) -> _ConnectionT: ... @overload def connect( database: StrOrBytesPath, timeout: float = 5.0, detect_types: int = 0, isolation_level: _IsolationLevel = "DEFERRED", check_same_thread: bool = True, *, factory: type[_ConnectionT], cached_statements: int = 128, uri: bool = False, ) -> _ConnectionT: ... def enable_callback_tracebacks(enable: bool, /) -> None: ... if sys.version_info < (3, 12): # takes a pos-or-keyword argument because there is a C wrapper def enable_shared_cache(do_enable: int) -> None: ... if sys.version_info >= (3, 10): def register_adapter(type: type[_T], adapter: _Adapter[_T], /) -> None: ... def register_converter(typename: str, converter: _Converter, /) -> None: ... else: def register_adapter(type: type[_T], caster: _Adapter[_T], /) -> None: ... def register_converter(name: str, converter: _Converter, /) -> None: ... if sys.version_info < (3, 10): OptimizedUnicode = str ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_ssl.pyi0000644000175100017510000002351415112307767020053 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer, StrOrBytesPath from collections.abc import Callable from ssl import ( SSLCertVerificationError as SSLCertVerificationError, SSLContext, SSLEOFError as SSLEOFError, SSLError as SSLError, SSLObject, SSLSyscallError as SSLSyscallError, SSLWantReadError as SSLWantReadError, SSLWantWriteError as SSLWantWriteError, SSLZeroReturnError as SSLZeroReturnError, ) from typing import Any, ClassVar, Final, Literal, TypedDict, final, overload, type_check_only from typing_extensions import NotRequired, Self, TypeAlias, deprecated, disjoint_base _PasswordType: TypeAlias = Callable[[], str | bytes | bytearray] | str | bytes | bytearray _PCTRTT: TypeAlias = tuple[tuple[str, str], ...] _PCTRTTT: TypeAlias = tuple[_PCTRTT, ...] _PeerCertRetDictType: TypeAlias = dict[str, str | _PCTRTTT | _PCTRTT] @type_check_only class _Cipher(TypedDict): aead: bool alg_bits: int auth: str description: str digest: str | None id: int kea: str name: str protocol: str strength_bits: int symmetric: str @type_check_only class _CertInfo(TypedDict): subject: tuple[tuple[tuple[str, str], ...], ...] issuer: tuple[tuple[tuple[str, str], ...], ...] version: int serialNumber: str notBefore: str notAfter: str subjectAltName: NotRequired[tuple[tuple[str, str], ...] | None] OCSP: NotRequired[tuple[str, ...] | None] caIssuers: NotRequired[tuple[str, ...] | None] crlDistributionPoints: NotRequired[tuple[str, ...] | None] def RAND_add(string: str | ReadableBuffer, entropy: float, /) -> None: ... def RAND_bytes(n: int, /) -> bytes: ... if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.6; removed in Python 3.12. Use `ssl.RAND_bytes()` instead.") def RAND_pseudo_bytes(n: int, /) -> tuple[bytes, bool]: ... if sys.version_info < (3, 10): def RAND_egd(path: str) -> None: ... def RAND_status() -> bool: ... def get_default_verify_paths() -> tuple[str, str, str, str]: ... if sys.platform == "win32": _EnumRetType: TypeAlias = list[tuple[bytes, str, set[str] | bool]] def enum_certificates(store_name: str) -> _EnumRetType: ... def enum_crls(store_name: str) -> _EnumRetType: ... def txt2obj(txt: str, name: bool = False) -> tuple[int, str, str, str]: ... def nid2obj(nid: int, /) -> tuple[int, str, str, str]: ... @disjoint_base class _SSLContext: check_hostname: bool keylog_filename: str | None maximum_version: int minimum_version: int num_tickets: int options: int post_handshake_auth: bool protocol: int if sys.version_info >= (3, 10): security_level: int sni_callback: Callable[[SSLObject, str, SSLContext], None | int] | None verify_flags: int verify_mode: int def __new__(cls, protocol: int, /) -> Self: ... def cert_store_stats(self) -> dict[str, int]: ... @overload def get_ca_certs(self, binary_form: Literal[False] = False) -> list[_PeerCertRetDictType]: ... @overload def get_ca_certs(self, binary_form: Literal[True]) -> list[bytes]: ... @overload def get_ca_certs(self, binary_form: bool = False) -> Any: ... def get_ciphers(self) -> list[_Cipher]: ... def load_cert_chain( self, certfile: StrOrBytesPath, keyfile: StrOrBytesPath | None = None, password: _PasswordType | None = None ) -> None: ... def load_dh_params(self, path: str, /) -> None: ... def load_verify_locations( self, cafile: StrOrBytesPath | None = None, capath: StrOrBytesPath | None = None, cadata: str | ReadableBuffer | None = None, ) -> None: ... def session_stats(self) -> dict[str, int]: ... def set_ciphers(self, cipherlist: str, /) -> None: ... def set_default_verify_paths(self) -> None: ... def set_ecdh_curve(self, name: str, /) -> None: ... if sys.version_info >= (3, 13): def set_psk_client_callback(self, callback: Callable[[str | None], tuple[str | None, bytes]] | None) -> None: ... def set_psk_server_callback( self, callback: Callable[[str | None], bytes] | None, identity_hint: str | None = None ) -> None: ... @final class MemoryBIO: eof: bool pending: int def __new__(self) -> Self: ... def read(self, size: int = -1, /) -> bytes: ... def write(self, b: ReadableBuffer, /) -> int: ... def write_eof(self) -> None: ... @final class SSLSession: __hash__: ClassVar[None] # type: ignore[assignment] @property def has_ticket(self) -> bool: ... @property def id(self) -> bytes: ... @property def ticket_lifetime_hint(self) -> int: ... @property def time(self) -> int: ... @property def timeout(self) -> int: ... # _ssl.Certificate is weird: it can't be instantiated or subclassed. # Instances can only be created via methods of the private _ssl._SSLSocket class, # for which the relevant method signatures are: # # class _SSLSocket: # def get_unverified_chain(self) -> list[Certificate] | None: ... # def get_verified_chain(self) -> list[Certificate] | None: ... # # You can find a _ssl._SSLSocket object as the _sslobj attribute of a ssl.SSLSocket object if sys.version_info >= (3, 10): @final class Certificate: def get_info(self) -> _CertInfo: ... @overload def public_bytes(self) -> str: ... @overload def public_bytes(self, format: Literal[1] = 1, /) -> str: ... # ENCODING_PEM @overload def public_bytes(self, format: Literal[2], /) -> bytes: ... # ENCODING_DER @overload def public_bytes(self, format: int, /) -> str | bytes: ... if sys.version_info < (3, 12): err_codes_to_names: dict[tuple[int, int], str] err_names_to_codes: dict[str, tuple[int, int]] lib_codes_to_names: dict[int, str] _DEFAULT_CIPHERS: Final[str] # SSL error numbers SSL_ERROR_ZERO_RETURN: Final = 6 SSL_ERROR_WANT_READ: Final = 2 SSL_ERROR_WANT_WRITE: Final = 3 SSL_ERROR_WANT_X509_LOOKUP: Final = 4 SSL_ERROR_SYSCALL: Final = 5 SSL_ERROR_SSL: Final = 1 SSL_ERROR_WANT_CONNECT: Final = 7 SSL_ERROR_EOF: Final = 8 SSL_ERROR_INVALID_ERROR_CODE: Final = 10 # verify modes CERT_NONE: Final = 0 CERT_OPTIONAL: Final = 1 CERT_REQUIRED: Final = 2 # verify flags VERIFY_DEFAULT: Final = 0 VERIFY_CRL_CHECK_LEAF: Final = 0x4 VERIFY_CRL_CHECK_CHAIN: Final = 0x8 VERIFY_X509_STRICT: Final = 0x20 VERIFY_X509_TRUSTED_FIRST: Final = 0x8000 if sys.version_info >= (3, 10): VERIFY_ALLOW_PROXY_CERTS: Final = 0x40 VERIFY_X509_PARTIAL_CHAIN: Final = 0x80000 # alert descriptions ALERT_DESCRIPTION_CLOSE_NOTIFY: Final = 0 ALERT_DESCRIPTION_UNEXPECTED_MESSAGE: Final = 10 ALERT_DESCRIPTION_BAD_RECORD_MAC: Final = 20 ALERT_DESCRIPTION_RECORD_OVERFLOW: Final = 22 ALERT_DESCRIPTION_DECOMPRESSION_FAILURE: Final = 30 ALERT_DESCRIPTION_HANDSHAKE_FAILURE: Final = 40 ALERT_DESCRIPTION_BAD_CERTIFICATE: Final = 42 ALERT_DESCRIPTION_UNSUPPORTED_CERTIFICATE: Final = 43 ALERT_DESCRIPTION_CERTIFICATE_REVOKED: Final = 44 ALERT_DESCRIPTION_CERTIFICATE_EXPIRED: Final = 45 ALERT_DESCRIPTION_CERTIFICATE_UNKNOWN: Final = 46 ALERT_DESCRIPTION_ILLEGAL_PARAMETER: Final = 47 ALERT_DESCRIPTION_UNKNOWN_CA: Final = 48 ALERT_DESCRIPTION_ACCESS_DENIED: Final = 49 ALERT_DESCRIPTION_DECODE_ERROR: Final = 50 ALERT_DESCRIPTION_DECRYPT_ERROR: Final = 51 ALERT_DESCRIPTION_PROTOCOL_VERSION: Final = 70 ALERT_DESCRIPTION_INSUFFICIENT_SECURITY: Final = 71 ALERT_DESCRIPTION_INTERNAL_ERROR: Final = 80 ALERT_DESCRIPTION_USER_CANCELLED: Final = 90 ALERT_DESCRIPTION_NO_RENEGOTIATION: Final = 100 ALERT_DESCRIPTION_UNSUPPORTED_EXTENSION: Final = 110 ALERT_DESCRIPTION_CERTIFICATE_UNOBTAINABLE: Final = 111 ALERT_DESCRIPTION_UNRECOGNIZED_NAME: Final = 112 ALERT_DESCRIPTION_BAD_CERTIFICATE_STATUS_RESPONSE: Final = 113 ALERT_DESCRIPTION_BAD_CERTIFICATE_HASH_VALUE: Final = 114 ALERT_DESCRIPTION_UNKNOWN_PSK_IDENTITY: Final = 115 # protocol versions PROTOCOL_SSLv23: Final = 2 PROTOCOL_TLS: Final = 2 PROTOCOL_TLS_CLIENT: Final = 16 PROTOCOL_TLS_SERVER: Final = 17 PROTOCOL_TLSv1: Final = 3 PROTOCOL_TLSv1_1: Final = 4 PROTOCOL_TLSv1_2: Final = 5 # protocol options OP_ALL: Final = 0x80000050 OP_NO_SSLv2: Final = 0x0 OP_NO_SSLv3: Final = 0x2000000 OP_NO_TLSv1: Final = 0x4000000 OP_NO_TLSv1_1: Final = 0x10000000 OP_NO_TLSv1_2: Final = 0x8000000 OP_NO_TLSv1_3: Final = 0x20000000 OP_CIPHER_SERVER_PREFERENCE: Final = 0x400000 OP_SINGLE_DH_USE: Final = 0x0 OP_NO_TICKET: Final = 0x4000 OP_SINGLE_ECDH_USE: Final = 0x0 OP_NO_COMPRESSION: Final = 0x20000 OP_ENABLE_MIDDLEBOX_COMPAT: Final = 0x100000 OP_NO_RENEGOTIATION: Final = 0x40000000 if sys.version_info >= (3, 11) or sys.platform == "linux": OP_IGNORE_UNEXPECTED_EOF: Final = 0x80 if sys.version_info >= (3, 12): OP_LEGACY_SERVER_CONNECT: Final = 0x4 OP_ENABLE_KTLS: Final = 0x8 # host flags HOSTFLAG_ALWAYS_CHECK_SUBJECT: Final = 0x1 HOSTFLAG_NEVER_CHECK_SUBJECT: Final = 0x20 HOSTFLAG_NO_WILDCARDS: Final = 0x2 HOSTFLAG_NO_PARTIAL_WILDCARDS: Final = 0x4 HOSTFLAG_MULTI_LABEL_WILDCARDS: Final = 0x8 HOSTFLAG_SINGLE_LABEL_SUBDOMAINS: Final = 0x10 if sys.version_info >= (3, 10): # certificate file types ENCODING_PEM: Final = 1 ENCODING_DER: Final = 2 # protocol versions PROTO_MINIMUM_SUPPORTED: Final = -2 PROTO_MAXIMUM_SUPPORTED: Final = -1 PROTO_SSLv3: Final[int] PROTO_TLSv1: Final[int] PROTO_TLSv1_1: Final[int] PROTO_TLSv1_2: Final[int] PROTO_TLSv1_3: Final[int] # feature support HAS_SNI: Final[bool] HAS_TLS_UNIQUE: Final[bool] HAS_ECDH: Final[bool] HAS_NPN: Final[bool] if sys.version_info >= (3, 13): HAS_PSK: Final[bool] HAS_ALPN: Final[bool] HAS_SSLv2: Final[bool] HAS_SSLv3: Final[bool] HAS_TLSv1: Final[bool] HAS_TLSv1_1: Final[bool] HAS_TLSv1_2: Final[bool] HAS_TLSv1_3: Final[bool] if sys.version_info >= (3, 14): HAS_PHA: Final[bool] # version info OPENSSL_VERSION_NUMBER: Final[int] OPENSSL_VERSION_INFO: Final[tuple[int, int, int, int, int]] OPENSSL_VERSION: Final[str] _OPENSSL_API_VERSION: Final[tuple[int, int, int, int, int]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_stat.pyi0000644000175100017510000000656115112307767020230 0ustar00runnerrunnerimport sys from typing import Final SF_APPEND: Final = 0x00040000 SF_ARCHIVED: Final = 0x00010000 SF_IMMUTABLE: Final = 0x00020000 SF_NOUNLINK: Final = 0x00100000 SF_SNAPSHOT: Final = 0x00200000 ST_MODE: Final = 0 ST_INO: Final = 1 ST_DEV: Final = 2 ST_NLINK: Final = 3 ST_UID: Final = 4 ST_GID: Final = 5 ST_SIZE: Final = 6 ST_ATIME: Final = 7 ST_MTIME: Final = 8 ST_CTIME: Final = 9 S_IFIFO: Final = 0o010000 S_IFLNK: Final = 0o120000 S_IFREG: Final = 0o100000 S_IFSOCK: Final = 0o140000 S_IFBLK: Final = 0o060000 S_IFCHR: Final = 0o020000 S_IFDIR: Final = 0o040000 # These are 0 on systems that don't support the specific kind of file. # Example: Linux doesn't support door files, so S_IFDOOR is 0 on linux. S_IFDOOR: Final[int] S_IFPORT: Final[int] S_IFWHT: Final[int] S_ISUID: Final = 0o4000 S_ISGID: Final = 0o2000 S_ISVTX: Final = 0o1000 S_IRWXU: Final = 0o0700 S_IRUSR: Final = 0o0400 S_IWUSR: Final = 0o0200 S_IXUSR: Final = 0o0100 S_IRWXG: Final = 0o0070 S_IRGRP: Final = 0o0040 S_IWGRP: Final = 0o0020 S_IXGRP: Final = 0o0010 S_IRWXO: Final = 0o0007 S_IROTH: Final = 0o0004 S_IWOTH: Final = 0o0002 S_IXOTH: Final = 0o0001 S_ENFMT: Final = 0o2000 S_IREAD: Final = 0o0400 S_IWRITE: Final = 0o0200 S_IEXEC: Final = 0o0100 UF_APPEND: Final = 0x00000004 UF_COMPRESSED: Final = 0x00000020 # OS X 10.6+ only UF_HIDDEN: Final = 0x00008000 # OX X 10.5+ only UF_IMMUTABLE: Final = 0x00000002 UF_NODUMP: Final = 0x00000001 UF_NOUNLINK: Final = 0x00000010 UF_OPAQUE: Final = 0x00000008 def S_IMODE(mode: int, /) -> int: ... def S_IFMT(mode: int, /) -> int: ... def S_ISBLK(mode: int, /) -> bool: ... def S_ISCHR(mode: int, /) -> bool: ... def S_ISDIR(mode: int, /) -> bool: ... def S_ISDOOR(mode: int, /) -> bool: ... def S_ISFIFO(mode: int, /) -> bool: ... def S_ISLNK(mode: int, /) -> bool: ... def S_ISPORT(mode: int, /) -> bool: ... def S_ISREG(mode: int, /) -> bool: ... def S_ISSOCK(mode: int, /) -> bool: ... def S_ISWHT(mode: int, /) -> bool: ... def filemode(mode: int, /) -> str: ... if sys.platform == "win32": IO_REPARSE_TAG_SYMLINK: Final = 0xA000000C IO_REPARSE_TAG_MOUNT_POINT: Final = 0xA0000003 IO_REPARSE_TAG_APPEXECLINK: Final = 0x8000001B if sys.platform == "win32": FILE_ATTRIBUTE_ARCHIVE: Final = 32 FILE_ATTRIBUTE_COMPRESSED: Final = 2048 FILE_ATTRIBUTE_DEVICE: Final = 64 FILE_ATTRIBUTE_DIRECTORY: Final = 16 FILE_ATTRIBUTE_ENCRYPTED: Final = 16384 FILE_ATTRIBUTE_HIDDEN: Final = 2 FILE_ATTRIBUTE_INTEGRITY_STREAM: Final = 32768 FILE_ATTRIBUTE_NORMAL: Final = 128 FILE_ATTRIBUTE_NOT_CONTENT_INDEXED: Final = 8192 FILE_ATTRIBUTE_NO_SCRUB_DATA: Final = 131072 FILE_ATTRIBUTE_OFFLINE: Final = 4096 FILE_ATTRIBUTE_READONLY: Final = 1 FILE_ATTRIBUTE_REPARSE_POINT: Final = 1024 FILE_ATTRIBUTE_SPARSE_FILE: Final = 512 FILE_ATTRIBUTE_SYSTEM: Final = 4 FILE_ATTRIBUTE_TEMPORARY: Final = 256 FILE_ATTRIBUTE_VIRTUAL: Final = 65536 if sys.version_info >= (3, 13): # Varies by platform. SF_SETTABLE: Final[int] # https://github.com/python/cpython/issues/114081#issuecomment-2119017790 # SF_RESTRICTED: Literal[0x00080000] SF_FIRMLINK: Final = 0x00800000 SF_DATALESS: Final = 0x40000000 if sys.platform == "darwin": SF_SUPPORTED: Final = 0x9F0000 SF_SYNTHETIC: Final = 0xC0000000 UF_TRACKED: Final = 0x00000040 UF_DATAVAULT: Final = 0x00000080 UF_SETTABLE: Final = 0x0000FFFF ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_struct.pyi0000644000175100017510000000225415112307767020574 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer, WriteableBuffer from collections.abc import Iterator from typing import Any from typing_extensions import disjoint_base def pack(fmt: str | bytes, /, *v: Any) -> bytes: ... def pack_into(fmt: str | bytes, buffer: WriteableBuffer, offset: int, /, *v: Any) -> None: ... def unpack(format: str | bytes, buffer: ReadableBuffer, /) -> tuple[Any, ...]: ... def unpack_from(format: str | bytes, /, buffer: ReadableBuffer, offset: int = 0) -> tuple[Any, ...]: ... def iter_unpack(format: str | bytes, buffer: ReadableBuffer, /) -> Iterator[tuple[Any, ...]]: ... def calcsize(format: str | bytes, /) -> int: ... @disjoint_base class Struct: @property def format(self) -> str: ... @property def size(self) -> int: ... def __init__(self, format: str | bytes) -> None: ... def pack(self, *v: Any) -> bytes: ... def pack_into(self, buffer: WriteableBuffer, offset: int, *v: Any) -> None: ... def unpack(self, buffer: ReadableBuffer, /) -> tuple[Any, ...]: ... def unpack_from(self, buffer: ReadableBuffer, offset: int = 0) -> tuple[Any, ...]: ... def iter_unpack(self, buffer: ReadableBuffer, /) -> Iterator[tuple[Any, ...]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_thread.pyi0000644000175100017510000001016515112307767020517 0ustar00runnerrunnerimport signal import sys from _typeshed import structseq from collections.abc import Callable from threading import Thread from types import TracebackType from typing import Any, Final, NoReturn, final, overload from typing_extensions import TypeVarTuple, Unpack, disjoint_base _Ts = TypeVarTuple("_Ts") error = RuntimeError def _count() -> int: ... @final class RLock: def acquire(self, blocking: bool = True, timeout: float = -1) -> bool: ... def release(self) -> None: ... __enter__ = acquire def __exit__(self, t: type[BaseException] | None, v: BaseException | None, tb: TracebackType | None) -> None: ... if sys.version_info >= (3, 14): def locked(self) -> bool: ... if sys.version_info >= (3, 13): @final class _ThreadHandle: ident: int def join(self, timeout: float | None = None, /) -> None: ... def is_done(self) -> bool: ... def _set_done(self) -> None: ... def start_joinable_thread( function: Callable[[], object], handle: _ThreadHandle | None = None, daemon: bool = True ) -> _ThreadHandle: ... @final class lock: def acquire(self, blocking: bool = True, timeout: float = -1) -> bool: ... def release(self) -> None: ... def locked(self) -> bool: ... def acquire_lock(self, blocking: bool = True, timeout: float = -1) -> bool: ... def release_lock(self) -> None: ... def locked_lock(self) -> bool: ... def __enter__(self) -> bool: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... LockType = lock else: @final class LockType: def acquire(self, blocking: bool = True, timeout: float = -1) -> bool: ... def release(self) -> None: ... def locked(self) -> bool: ... def acquire_lock(self, blocking: bool = True, timeout: float = -1) -> bool: ... def release_lock(self) -> None: ... def locked_lock(self) -> bool: ... def __enter__(self) -> bool: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... @overload def start_new_thread(function: Callable[[Unpack[_Ts]], object], args: tuple[Unpack[_Ts]], /) -> int: ... @overload def start_new_thread(function: Callable[..., object], args: tuple[Any, ...], kwargs: dict[str, Any], /) -> int: ... # Obsolete synonym for start_new_thread() @overload def start_new(function: Callable[[Unpack[_Ts]], object], args: tuple[Unpack[_Ts]], /) -> int: ... @overload def start_new(function: Callable[..., object], args: tuple[Any, ...], kwargs: dict[str, Any], /) -> int: ... if sys.version_info >= (3, 10): def interrupt_main(signum: signal.Signals = signal.SIGINT, /) -> None: ... else: def interrupt_main() -> None: ... def exit() -> NoReturn: ... def exit_thread() -> NoReturn: ... # Obsolete synonym for exit() def allocate_lock() -> LockType: ... def allocate() -> LockType: ... # Obsolete synonym for allocate_lock() def get_ident() -> int: ... def stack_size(size: int = 0, /) -> int: ... TIMEOUT_MAX: Final[float] def get_native_id() -> int: ... # only available on some platforms @final class _ExceptHookArgs(structseq[Any], tuple[type[BaseException], BaseException | None, TracebackType | None, Thread | None]): if sys.version_info >= (3, 10): __match_args__: Final = ("exc_type", "exc_value", "exc_traceback", "thread") @property def exc_type(self) -> type[BaseException]: ... @property def exc_value(self) -> BaseException | None: ... @property def exc_traceback(self) -> TracebackType | None: ... @property def thread(self) -> Thread | None: ... _excepthook: Callable[[_ExceptHookArgs], Any] if sys.version_info >= (3, 12): def daemon_threads_allowed() -> bool: ... if sys.version_info >= (3, 14): def set_name(name: str) -> None: ... @disjoint_base class _local: def __getattribute__(self, name: str, /) -> Any: ... def __setattr__(self, name: str, value: Any, /) -> None: ... def __delattr__(self, name: str, /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_threading_local.pyi0000644000175100017510000000156015112307767022366 0ustar00runnerrunnerfrom threading import RLock from typing import Any from typing_extensions import Self, TypeAlias from weakref import ReferenceType __all__ = ["local"] _LocalDict: TypeAlias = dict[Any, Any] class _localimpl: __slots__ = ("key", "dicts", "localargs", "locallock", "__weakref__") key: str dicts: dict[int, tuple[ReferenceType[Any], _LocalDict]] # Keep localargs in sync with the *args, **kwargs annotation on local.__new__ localargs: tuple[list[Any], dict[str, Any]] locallock: RLock def get_dict(self) -> _LocalDict: ... def create_dict(self) -> _LocalDict: ... class local: __slots__ = ("_local__impl", "__dict__") def __new__(cls, /, *args: Any, **kw: Any) -> Self: ... def __getattribute__(self, name: str) -> Any: ... def __setattr__(self, name: str, value: Any) -> None: ... def __delattr__(self, name: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_tkinter.pyi0000644000175100017510000001147515112307767020735 0ustar00runnerrunnerimport sys from collections.abc import Callable from typing import Any, ClassVar, Final, final from typing_extensions import TypeAlias, deprecated # _tkinter is meant to be only used internally by tkinter, but some tkinter # functions e.g. return _tkinter.Tcl_Obj objects. Tcl_Obj represents a Tcl # object that hasn't been converted to a string. # # There are not many ways to get Tcl_Objs from tkinter, and I'm not sure if the # only existing ways are supposed to return Tcl_Objs as opposed to returning # strings. Here's one of these things that return Tcl_Objs: # # >>> import tkinter # >>> text = tkinter.Text() # >>> text.tag_add('foo', '1.0', 'end') # >>> text.tag_ranges('foo') # (, ) @final class Tcl_Obj: @property def string(self) -> str: ... @property def typename(self) -> str: ... __hash__: ClassVar[None] # type: ignore[assignment] def __eq__(self, value, /): ... def __ge__(self, value, /): ... def __gt__(self, value, /): ... def __le__(self, value, /): ... def __lt__(self, value, /): ... def __ne__(self, value, /): ... class TclError(Exception): ... _TkinterTraceFunc: TypeAlias = Callable[[tuple[str, ...]], object] # This class allows running Tcl code. Tkinter uses it internally a lot, and # it's often handy to drop a piece of Tcl code into a tkinter program. Example: # # >>> import tkinter, _tkinter # >>> tkapp = tkinter.Tk().tk # >>> isinstance(tkapp, _tkinter.TkappType) # True # >>> tkapp.call('set', 'foo', (1,2,3)) # (1, 2, 3) # >>> tkapp.eval('return $foo') # '1 2 3' # >>> # # call args can be pretty much anything. Also, call(some_tuple) is same as call(*some_tuple). # # eval always returns str because _tkinter_tkapp_eval_impl in _tkinter.c calls # Tkapp_UnicodeResult, and it returns a string when it succeeds. @final class TkappType: # Please keep in sync with tkinter.Tk def adderrorinfo(self, msg: str, /): ... def call(self, command: Any, /, *args: Any) -> Any: ... def createcommand(self, name: str, func, /): ... if sys.platform != "win32": def createfilehandler(self, file, mask: int, func, /): ... def deletefilehandler(self, file, /) -> None: ... def createtimerhandler(self, milliseconds: int, func, /): ... def deletecommand(self, name: str, /): ... def dooneevent(self, flags: int = 0, /): ... def eval(self, script: str, /) -> str: ... def evalfile(self, fileName: str, /): ... def exprboolean(self, s: str, /): ... def exprdouble(self, s: str, /): ... def exprlong(self, s: str, /): ... def exprstring(self, s: str, /): ... def getboolean(self, arg, /) -> bool: ... def getdouble(self, arg, /) -> float: ... def getint(self, arg, /) -> int: ... def getvar(self, *args, **kwargs): ... def globalgetvar(self, *args, **kwargs): ... def globalsetvar(self, *args, **kwargs): ... def globalunsetvar(self, *args, **kwargs): ... def interpaddr(self) -> int: ... def loadtk(self) -> None: ... def mainloop(self, threshold: int = 0, /) -> None: ... def quit(self) -> None: ... def record(self, script: str, /): ... def setvar(self, *ags, **kwargs): ... if sys.version_info < (3, 11): @deprecated("Deprecated since Python 3.9; removed in Python 3.11. Use `splitlist()` instead.") def split(self, arg, /): ... def splitlist(self, arg, /): ... def unsetvar(self, *args, **kwargs): ... def wantobjects(self, *args, **kwargs): ... def willdispatch(self) -> None: ... if sys.version_info >= (3, 12): def gettrace(self, /) -> _TkinterTraceFunc | None: ... def settrace(self, func: _TkinterTraceFunc | None, /) -> None: ... # These should be kept in sync with tkinter.tix constants, except ALL_EVENTS which doesn't match TCL_ALL_EVENTS ALL_EVENTS: Final = -3 FILE_EVENTS: Final = 8 IDLE_EVENTS: Final = 32 TIMER_EVENTS: Final = 16 WINDOW_EVENTS: Final = 4 DONT_WAIT: Final = 2 EXCEPTION: Final = 8 READABLE: Final = 2 WRITABLE: Final = 4 TCL_VERSION: Final[str] TK_VERSION: Final[str] @final class TkttType: def deletetimerhandler(self): ... if sys.version_info >= (3, 13): def create( screenName: str | None = None, baseName: str = "", className: str = "Tk", interactive: bool = False, wantobjects: int = 0, wantTk: bool = True, sync: bool = False, use: str | None = None, /, ): ... else: def create( screenName: str | None = None, baseName: str = "", className: str = "Tk", interactive: bool = False, wantobjects: bool = False, wantTk: bool = True, sync: bool = False, use: str | None = None, /, ): ... def getbusywaitinterval() -> int: ... def setbusywaitinterval(new_val: int, /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_tracemalloc.pyi0000644000175100017510000000076415112307767021542 0ustar00runnerrunnerfrom collections.abc import Sequence from tracemalloc import _FrameTuple, _TraceTuple def _get_object_traceback(obj: object, /) -> Sequence[_FrameTuple] | None: ... def _get_traces() -> Sequence[_TraceTuple]: ... def clear_traces() -> None: ... def get_traceback_limit() -> int: ... def get_traced_memory() -> tuple[int, int]: ... def get_tracemalloc_memory() -> int: ... def is_tracing() -> bool: ... def reset_peak() -> None: ... def start(nframe: int = 1, /) -> None: ... def stop() -> None: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5367649 mypy-1.19.0/mypy/typeshed/stdlib/_typeshed/0000755000175100017510000000000015112310012020320 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_typeshed/__init__.pyi0000644000175100017510000003163315112307767022637 0ustar00runnerrunner# Utility types for typeshed # # See the README.md file in this directory for more information. import sys from collections.abc import Awaitable, Callable, Iterable, Iterator, Sequence, Set as AbstractSet, Sized from dataclasses import Field from os import PathLike from types import FrameType, TracebackType from typing import ( Any, AnyStr, ClassVar, Final, Generic, Literal, Protocol, SupportsFloat, SupportsIndex, SupportsInt, TypeVar, final, overload, ) from typing_extensions import Buffer, LiteralString, Self as _Self, TypeAlias _KT = TypeVar("_KT") _KT_co = TypeVar("_KT_co", covariant=True) _KT_contra = TypeVar("_KT_contra", contravariant=True) _VT = TypeVar("_VT") _VT_co = TypeVar("_VT_co", covariant=True) _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _T_contra = TypeVar("_T_contra", contravariant=True) # Alternative to `typing_extensions.Self`, exclusively for use with `__new__` # in metaclasses: # def __new__(cls: type[Self], ...) -> Self: ... # In other cases, use `typing_extensions.Self`. Self = TypeVar("Self") # noqa: Y001 # covariant version of typing.AnyStr, useful for protocols AnyStr_co = TypeVar("AnyStr_co", str, bytes, covariant=True) # noqa: Y001 # For partially known annotations. Usually, fields where type annotations # haven't been added are left unannotated, but in some situations this # isn't possible or a type is already partially known. In cases like these, # use Incomplete instead of Any as a marker. For example, use # "Incomplete | None" instead of "Any | None". Incomplete: TypeAlias = Any # stable # To describe a function parameter that is unused and will work with anything. Unused: TypeAlias = object # stable # Marker for return types that include None, but where forcing the user to # check for None can be detrimental. Sometimes called "the Any trick". See # https://typing.python.org/en/latest/guides/writing_stubs.html#the-any-trick # for more information. MaybeNone: TypeAlias = Any # stable # Used to mark arguments that default to a sentinel value. This prevents # stubtest from complaining about the default value not matching. # # def foo(x: int | None = sentinel) -> None: ... # # In cases where the sentinel object is exported and can be used by user code, # a construct like this is better: # # _SentinelType = NewType("_SentinelType", object) # does not exist at runtime # sentinel: Final[_SentinelType] # def foo(x: int | None | _SentinelType = ...) -> None: ... sentinel: Any # stable # stable class IdentityFunction(Protocol): def __call__(self, x: _T, /) -> _T: ... # stable class SupportsNext(Protocol[_T_co]): def __next__(self) -> _T_co: ... # stable class SupportsAnext(Protocol[_T_co]): def __anext__(self) -> Awaitable[_T_co]: ... class SupportsBool(Protocol): def __bool__(self) -> bool: ... # Comparison protocols class SupportsDunderLT(Protocol[_T_contra]): def __lt__(self, other: _T_contra, /) -> SupportsBool: ... class SupportsDunderGT(Protocol[_T_contra]): def __gt__(self, other: _T_contra, /) -> SupportsBool: ... class SupportsDunderLE(Protocol[_T_contra]): def __le__(self, other: _T_contra, /) -> SupportsBool: ... class SupportsDunderGE(Protocol[_T_contra]): def __ge__(self, other: _T_contra, /) -> SupportsBool: ... class SupportsAllComparisons( SupportsDunderLT[Any], SupportsDunderGT[Any], SupportsDunderLE[Any], SupportsDunderGE[Any], Protocol ): ... SupportsRichComparison: TypeAlias = SupportsDunderLT[Any] | SupportsDunderGT[Any] SupportsRichComparisonT = TypeVar("SupportsRichComparisonT", bound=SupportsRichComparison) # noqa: Y001 # Dunder protocols class SupportsAdd(Protocol[_T_contra, _T_co]): def __add__(self, x: _T_contra, /) -> _T_co: ... class SupportsRAdd(Protocol[_T_contra, _T_co]): def __radd__(self, x: _T_contra, /) -> _T_co: ... class SupportsSub(Protocol[_T_contra, _T_co]): def __sub__(self, x: _T_contra, /) -> _T_co: ... class SupportsRSub(Protocol[_T_contra, _T_co]): def __rsub__(self, x: _T_contra, /) -> _T_co: ... class SupportsMul(Protocol[_T_contra, _T_co]): def __mul__(self, x: _T_contra, /) -> _T_co: ... class SupportsRMul(Protocol[_T_contra, _T_co]): def __rmul__(self, x: _T_contra, /) -> _T_co: ... class SupportsDivMod(Protocol[_T_contra, _T_co]): def __divmod__(self, other: _T_contra, /) -> _T_co: ... class SupportsRDivMod(Protocol[_T_contra, _T_co]): def __rdivmod__(self, other: _T_contra, /) -> _T_co: ... # This protocol is generic over the iterator type, while Iterable is # generic over the type that is iterated over. class SupportsIter(Protocol[_T_co]): def __iter__(self) -> _T_co: ... # This protocol is generic over the iterator type, while AsyncIterable is # generic over the type that is iterated over. class SupportsAiter(Protocol[_T_co]): def __aiter__(self) -> _T_co: ... class SupportsLen(Protocol): def __len__(self) -> int: ... class SupportsLenAndGetItem(Protocol[_T_co]): def __len__(self) -> int: ... def __getitem__(self, k: int, /) -> _T_co: ... class SupportsTrunc(Protocol): def __trunc__(self) -> int: ... # Mapping-like protocols # stable class SupportsItems(Protocol[_KT_co, _VT_co]): def items(self) -> AbstractSet[tuple[_KT_co, _VT_co]]: ... # stable class SupportsKeysAndGetItem(Protocol[_KT, _VT_co]): def keys(self) -> Iterable[_KT]: ... def __getitem__(self, key: _KT, /) -> _VT_co: ... # stable class SupportsGetItem(Protocol[_KT_contra, _VT_co]): def __getitem__(self, key: _KT_contra, /) -> _VT_co: ... # stable class SupportsContainsAndGetItem(Protocol[_KT_contra, _VT_co]): def __contains__(self, x: Any, /) -> bool: ... def __getitem__(self, key: _KT_contra, /) -> _VT_co: ... # stable class SupportsItemAccess(Protocol[_KT_contra, _VT]): def __contains__(self, x: Any, /) -> bool: ... def __getitem__(self, key: _KT_contra, /) -> _VT: ... def __setitem__(self, key: _KT_contra, value: _VT, /) -> None: ... def __delitem__(self, key: _KT_contra, /) -> None: ... StrPath: TypeAlias = str | PathLike[str] # stable BytesPath: TypeAlias = bytes | PathLike[bytes] # stable GenericPath: TypeAlias = AnyStr | PathLike[AnyStr] StrOrBytesPath: TypeAlias = str | bytes | PathLike[str] | PathLike[bytes] # stable OpenTextModeUpdating: TypeAlias = Literal[ "r+", "+r", "rt+", "r+t", "+rt", "tr+", "t+r", "+tr", "w+", "+w", "wt+", "w+t", "+wt", "tw+", "t+w", "+tw", "a+", "+a", "at+", "a+t", "+at", "ta+", "t+a", "+ta", "x+", "+x", "xt+", "x+t", "+xt", "tx+", "t+x", "+tx", ] OpenTextModeWriting: TypeAlias = Literal["w", "wt", "tw", "a", "at", "ta", "x", "xt", "tx"] OpenTextModeReading: TypeAlias = Literal["r", "rt", "tr", "U", "rU", "Ur", "rtU", "rUt", "Urt", "trU", "tUr", "Utr"] OpenTextMode: TypeAlias = OpenTextModeUpdating | OpenTextModeWriting | OpenTextModeReading OpenBinaryModeUpdating: TypeAlias = Literal[ "rb+", "r+b", "+rb", "br+", "b+r", "+br", "wb+", "w+b", "+wb", "bw+", "b+w", "+bw", "ab+", "a+b", "+ab", "ba+", "b+a", "+ba", "xb+", "x+b", "+xb", "bx+", "b+x", "+bx", ] OpenBinaryModeWriting: TypeAlias = Literal["wb", "bw", "ab", "ba", "xb", "bx"] OpenBinaryModeReading: TypeAlias = Literal["rb", "br", "rbU", "rUb", "Urb", "brU", "bUr", "Ubr"] OpenBinaryMode: TypeAlias = OpenBinaryModeUpdating | OpenBinaryModeReading | OpenBinaryModeWriting # stable class HasFileno(Protocol): def fileno(self) -> int: ... FileDescriptor: TypeAlias = int # stable FileDescriptorLike: TypeAlias = int | HasFileno # stable FileDescriptorOrPath: TypeAlias = int | StrOrBytesPath # stable class SupportsRead(Protocol[_T_co]): def read(self, length: int = ..., /) -> _T_co: ... # stable class SupportsReadline(Protocol[_T_co]): def readline(self, length: int = ..., /) -> _T_co: ... # stable class SupportsNoArgReadline(Protocol[_T_co]): def readline(self) -> _T_co: ... # stable class SupportsWrite(Protocol[_T_contra]): def write(self, s: _T_contra, /) -> object: ... # stable class SupportsFlush(Protocol): def flush(self) -> object: ... # Suitable for dictionary view objects class Viewable(Protocol[_T_co]): def __len__(self) -> int: ... def __iter__(self) -> Iterator[_T_co]: ... class SupportsGetItemViewable(Protocol[_KT, _VT_co]): def __len__(self) -> int: ... def __iter__(self) -> Iterator[_KT]: ... def __getitem__(self, key: _KT, /) -> _VT_co: ... # Unfortunately PEP 688 does not allow us to distinguish read-only # from writable buffers. We use these aliases for readability for now. # Perhaps a future extension of the buffer protocol will allow us to # distinguish these cases in the type system. ReadOnlyBuffer: TypeAlias = Buffer # stable # Anything that implements the read-write buffer interface. WriteableBuffer: TypeAlias = Buffer # Same as WriteableBuffer, but also includes read-only buffer types (like bytes). ReadableBuffer: TypeAlias = Buffer # stable class SliceableBuffer(Buffer, Protocol): def __getitem__(self, slice: slice, /) -> Sequence[int]: ... class IndexableBuffer(Buffer, Protocol): def __getitem__(self, i: int, /) -> int: ... class SupportsGetItemBuffer(SliceableBuffer, IndexableBuffer, Protocol): def __contains__(self, x: Any, /) -> bool: ... @overload def __getitem__(self, slice: slice, /) -> Sequence[int]: ... @overload def __getitem__(self, i: int, /) -> int: ... class SizedBuffer(Sized, Buffer, Protocol): ... ExcInfo: TypeAlias = tuple[type[BaseException], BaseException, TracebackType] OptExcInfo: TypeAlias = ExcInfo | tuple[None, None, None] # stable if sys.version_info >= (3, 10): from types import NoneType as NoneType else: # Used by type checkers for checks involving None (does not exist at runtime) @final class NoneType: def __bool__(self) -> Literal[False]: ... # This is an internal CPython type that is like, but subtly different from, a NamedTuple # Subclasses of this type are found in multiple modules. # In typeshed, `structseq` is only ever used as a mixin in combination with a fixed-length `Tuple` # See discussion at #6546 & #6560 # `structseq` classes are unsubclassable, so are all decorated with `@final`. class structseq(Generic[_T_co]): n_fields: Final[int] n_unnamed_fields: Final[int] n_sequence_fields: Final[int] # The first parameter will generally only take an iterable of a specific length. # E.g. `os.uname_result` takes any iterable of length exactly 5. # # The second parameter will accept a dict of any kind without raising an exception, # but only has any meaning if you supply it a dict where the keys are strings. # https://github.com/python/typeshed/pull/6560#discussion_r767149830 def __new__(cls, sequence: Iterable[_T_co], dict: dict[str, Any] = ...) -> _Self: ... if sys.version_info >= (3, 13): def __replace__(self, **kwargs: Any) -> _Self: ... # Superset of typing.AnyStr that also includes LiteralString AnyOrLiteralStr = TypeVar("AnyOrLiteralStr", str, bytes, LiteralString) # noqa: Y001 # Represents when str or LiteralStr is acceptable. Useful for string processing # APIs where literalness of return value depends on literalness of inputs StrOrLiteralStr = TypeVar("StrOrLiteralStr", LiteralString, str) # noqa: Y001 # Objects suitable to be passed to sys.setprofile, threading.setprofile, and similar ProfileFunction: TypeAlias = Callable[[FrameType, str, Any], object] # Objects suitable to be passed to sys.settrace, threading.settrace, and similar TraceFunction: TypeAlias = Callable[[FrameType, str, Any], TraceFunction | None] # experimental # Might not work as expected for pyright, see # https://github.com/python/typeshed/pull/9362 # https://github.com/microsoft/pyright/issues/4339 class DataclassInstance(Protocol): __dataclass_fields__: ClassVar[dict[str, Field[Any]]] # Anything that can be passed to the int/float constructors if sys.version_info >= (3, 14): ConvertibleToInt: TypeAlias = str | ReadableBuffer | SupportsInt | SupportsIndex else: ConvertibleToInt: TypeAlias = str | ReadableBuffer | SupportsInt | SupportsIndex | SupportsTrunc ConvertibleToFloat: TypeAlias = str | ReadableBuffer | SupportsFloat | SupportsIndex # A few classes updated from Foo(str, Enum) to Foo(StrEnum). This is a convenience so these # can be accurate on all python versions without getting too wordy if sys.version_info >= (3, 11): from enum import StrEnum as StrEnum else: from enum import Enum class StrEnum(str, Enum): ... # Objects that appear in annotations or in type expressions. # Similar to PEP 747's TypeForm but a little broader. AnnotationForm: TypeAlias = Any if sys.version_info >= (3, 14): from annotationlib import Format # These return annotations, which can be arbitrary objects AnnotateFunc: TypeAlias = Callable[[Format], dict[str, AnnotationForm]] EvaluateFunc: TypeAlias = Callable[[Format], AnnotationForm] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_typeshed/_type_checker_internals.pyi0000644000175100017510000001007515112307767025760 0ustar00runnerrunner# Internals used by some type checkers. # # Don't use this module directly. It is only for type checkers to use. import sys import typing_extensions from _collections_abc import dict_items, dict_keys, dict_values from abc import ABCMeta from collections.abc import Awaitable, Generator, Iterable, Mapping from typing import Any, ClassVar, Generic, TypeVar, overload from typing_extensions import Never _T = TypeVar("_T") # Used for an undocumented mypy feature. Does not exist at runtime. promote = object() # Fallback type providing methods and attributes that appear on all `TypedDict` types. # N.B. Keep this mostly in sync with typing_extensions._TypedDict/mypy_extensions._TypedDict class TypedDictFallback(Mapping[str, object], metaclass=ABCMeta): __total__: ClassVar[bool] __required_keys__: ClassVar[frozenset[str]] __optional_keys__: ClassVar[frozenset[str]] # __orig_bases__ sometimes exists on <3.12, but not consistently, # so we only add it to the stub on 3.12+ if sys.version_info >= (3, 12): __orig_bases__: ClassVar[tuple[Any, ...]] if sys.version_info >= (3, 13): __readonly_keys__: ClassVar[frozenset[str]] __mutable_keys__: ClassVar[frozenset[str]] def copy(self) -> typing_extensions.Self: ... # Using Never so that only calls using mypy plugin hook that specialize the signature # can go through. def setdefault(self, k: Never, default: object) -> object: ... # Mypy plugin hook for 'pop' expects that 'default' has a type variable type. def pop(self, k: Never, default: _T = ...) -> object: ... # pyright: ignore[reportInvalidTypeVarUse] def update(self, m: typing_extensions.Self, /) -> None: ... def __delitem__(self, k: Never) -> None: ... def items(self) -> dict_items[str, object]: ... def keys(self) -> dict_keys[str, object]: ... def values(self) -> dict_values[str, object]: ... @overload def __or__(self, value: typing_extensions.Self, /) -> typing_extensions.Self: ... @overload def __or__(self, value: dict[str, Any], /) -> dict[str, object]: ... @overload def __ror__(self, value: typing_extensions.Self, /) -> typing_extensions.Self: ... @overload def __ror__(self, value: dict[str, Any], /) -> dict[str, object]: ... # supposedly incompatible definitions of __or__ and __ior__ def __ior__(self, value: typing_extensions.Self, /) -> typing_extensions.Self: ... # type: ignore[misc] # Fallback type providing methods and attributes that appear on all `NamedTuple` types. class NamedTupleFallback(tuple[Any, ...]): _field_defaults: ClassVar[dict[str, Any]] _fields: ClassVar[tuple[str, ...]] # __orig_bases__ sometimes exists on <3.12, but not consistently # So we only add it to the stub on 3.12+. if sys.version_info >= (3, 12): __orig_bases__: ClassVar[tuple[Any, ...]] @overload def __init__(self, typename: str, fields: Iterable[tuple[str, Any]], /) -> None: ... @overload @typing_extensions.deprecated( "Creating a typing.NamedTuple using keyword arguments is deprecated and support will be removed in Python 3.15" ) def __init__(self, typename: str, fields: None = None, /, **kwargs: Any) -> None: ... @classmethod def _make(cls, iterable: Iterable[Any]) -> typing_extensions.Self: ... def _asdict(self) -> dict[str, Any]: ... def _replace(self, **kwargs: Any) -> typing_extensions.Self: ... if sys.version_info >= (3, 13): def __replace__(self, **kwargs: Any) -> typing_extensions.Self: ... # Non-default variations to accommodate couroutines, and `AwaitableGenerator` having a 4th type parameter. _S = TypeVar("_S") _YieldT_co = TypeVar("_YieldT_co", covariant=True) _SendT_nd_contra = TypeVar("_SendT_nd_contra", contravariant=True) _ReturnT_nd_co = TypeVar("_ReturnT_nd_co", covariant=True) # The parameters correspond to Generator, but the 4th is the original type. class AwaitableGenerator( Awaitable[_ReturnT_nd_co], Generator[_YieldT_co, _SendT_nd_contra, _ReturnT_nd_co], Generic[_YieldT_co, _SendT_nd_contra, _ReturnT_nd_co, _S], metaclass=ABCMeta, ): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_typeshed/dbapi.pyi0000644000175100017510000000314415112307767022153 0ustar00runnerrunner# PEP 249 Database API 2.0 Types # https://www.python.org/dev/peps/pep-0249/ from collections.abc import Mapping, Sequence from typing import Any, Protocol from typing_extensions import TypeAlias DBAPITypeCode: TypeAlias = Any | None # Strictly speaking, this should be a Sequence, but the type system does # not support fixed-length sequences. DBAPIColumnDescription: TypeAlias = tuple[str, DBAPITypeCode, int | None, int | None, int | None, int | None, bool | None] class DBAPIConnection(Protocol): def close(self) -> object: ... def commit(self) -> object: ... # optional: # def rollback(self) -> Any: ... def cursor(self) -> DBAPICursor: ... class DBAPICursor(Protocol): @property def description(self) -> Sequence[DBAPIColumnDescription] | None: ... @property def rowcount(self) -> int: ... # optional: # def callproc(self, procname: str, parameters: Sequence[Any] = ..., /) -> Sequence[Any]: ... def close(self) -> object: ... def execute(self, operation: str, parameters: Sequence[Any] | Mapping[str, Any] = ..., /) -> object: ... def executemany(self, operation: str, seq_of_parameters: Sequence[Sequence[Any]], /) -> object: ... def fetchone(self) -> Sequence[Any] | None: ... def fetchmany(self, size: int = ..., /) -> Sequence[Sequence[Any]]: ... def fetchall(self) -> Sequence[Sequence[Any]]: ... # optional: # def nextset(self) -> None | Literal[True]: ... arraysize: int def setinputsizes(self, sizes: Sequence[DBAPITypeCode | int | None], /) -> object: ... def setoutputsize(self, size: int, column: int = ..., /) -> object: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_typeshed/importlib.pyi0000644000175100017510000000132715112307767023076 0ustar00runnerrunner# Implicit protocols used in importlib. # We intentionally omit deprecated and optional methods. from collections.abc import Sequence from importlib.machinery import ModuleSpec from types import ModuleType from typing import Protocol __all__ = ["LoaderProtocol", "MetaPathFinderProtocol", "PathEntryFinderProtocol"] class LoaderProtocol(Protocol): def load_module(self, fullname: str, /) -> ModuleType: ... class MetaPathFinderProtocol(Protocol): def find_spec(self, fullname: str, path: Sequence[str] | None, target: ModuleType | None = ..., /) -> ModuleSpec | None: ... class PathEntryFinderProtocol(Protocol): def find_spec(self, fullname: str, target: ModuleType | None = ..., /) -> ModuleSpec | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_typeshed/wsgi.pyi0000644000175100017510000000314515112307767022046 0ustar00runnerrunner# Types to support PEP 3333 (WSGI) # # Obsolete since Python 3.11: Use wsgiref.types instead. # # See the README.md file in this directory for more information. import sys from _typeshed import OptExcInfo from collections.abc import Callable, Iterable, Iterator from typing import Any, Protocol from typing_extensions import TypeAlias class _Readable(Protocol): def read(self, size: int = ..., /) -> bytes: ... # Optional: def close(self) -> object: ... if sys.version_info >= (3, 11): from wsgiref.types import * else: # stable class StartResponse(Protocol): def __call__( self, status: str, headers: list[tuple[str, str]], exc_info: OptExcInfo | None = ..., / ) -> Callable[[bytes], object]: ... WSGIEnvironment: TypeAlias = dict[str, Any] # stable WSGIApplication: TypeAlias = Callable[[WSGIEnvironment, StartResponse], Iterable[bytes]] # stable # WSGI input streams per PEP 3333, stable class InputStream(Protocol): def read(self, size: int = ..., /) -> bytes: ... def readline(self, size: int = ..., /) -> bytes: ... def readlines(self, hint: int = ..., /) -> list[bytes]: ... def __iter__(self) -> Iterator[bytes]: ... # WSGI error streams per PEP 3333, stable class ErrorStream(Protocol): def flush(self) -> object: ... def write(self, s: str, /) -> object: ... def writelines(self, seq: list[str], /) -> object: ... # Optional file wrapper in wsgi.file_wrapper class FileWrapper(Protocol): def __call__(self, file: _Readable, block_size: int = ..., /) -> Iterable[bytes]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_typeshed/xml.pyi0000644000175100017510000000076315112307767021700 0ustar00runnerrunner# See the README.md file in this directory for more information. from typing import Any, Protocol # As defined https://docs.python.org/3/library/xml.dom.html#domimplementation-objects class DOMImplementation(Protocol): def hasFeature(self, feature: str, version: str | None, /) -> bool: ... def createDocument(self, namespaceUri: str, qualifiedName: str, doctype: Any | None, /) -> Any: ... def createDocumentType(self, qualifiedName: str, publicId: str, systemId: str, /) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_warnings.pyi0000644000175100017510000000304115112307767021073 0ustar00runnerrunnerimport sys from typing import Any, overload _defaultaction: str _onceregistry: dict[Any, Any] filters: list[tuple[str, str | None, type[Warning], str | None, int]] if sys.version_info >= (3, 12): @overload def warn( message: str, category: type[Warning] | None = None, stacklevel: int = 1, source: Any | None = None, *, skip_file_prefixes: tuple[str, ...] = (), ) -> None: ... @overload def warn( message: Warning, category: Any = None, stacklevel: int = 1, source: Any | None = None, *, skip_file_prefixes: tuple[str, ...] = (), ) -> None: ... else: @overload def warn(message: str, category: type[Warning] | None = None, stacklevel: int = 1, source: Any | None = None) -> None: ... @overload def warn(message: Warning, category: Any = None, stacklevel: int = 1, source: Any | None = None) -> None: ... @overload def warn_explicit( message: str, category: type[Warning], filename: str, lineno: int, module: str | None = ..., registry: dict[str | tuple[str, type[Warning], int], int] | None = None, module_globals: dict[str, Any] | None = None, source: Any | None = None, ) -> None: ... @overload def warn_explicit( message: Warning, category: Any, filename: str, lineno: int, module: str | None = None, registry: dict[str | tuple[str, type[Warning], int], int] | None = None, module_globals: dict[str, Any] | None = None, source: Any | None = None, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_weakref.pyi0000644000175100017510000000120315112307767020665 0ustar00runnerrunnerfrom collections.abc import Callable from typing import Any, TypeVar, overload from weakref import CallableProxyType as CallableProxyType, ProxyType as ProxyType, ReferenceType as ReferenceType, ref as ref _C = TypeVar("_C", bound=Callable[..., Any]) _T = TypeVar("_T") def getweakrefcount(object: Any, /) -> int: ... def getweakrefs(object: Any, /) -> list[Any]: ... # Return CallableProxyType if object is callable, ProxyType otherwise @overload def proxy(object: _C, callback: Callable[[_C], Any] | None = None, /) -> CallableProxyType[_C]: ... @overload def proxy(object: _T, callback: Callable[[_T], Any] | None = None, /) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_weakrefset.pyi0000644000175100017510000000445115112307767021411 0ustar00runnerrunnerfrom collections.abc import Iterable, Iterator, MutableSet from types import GenericAlias from typing import Any, ClassVar, TypeVar, overload from typing_extensions import Self __all__ = ["WeakSet"] _S = TypeVar("_S") _T = TypeVar("_T") class WeakSet(MutableSet[_T]): @overload def __init__(self, data: None = None) -> None: ... @overload def __init__(self, data: Iterable[_T]) -> None: ... def add(self, item: _T) -> None: ... def discard(self, item: _T) -> None: ... def copy(self) -> Self: ... def remove(self, item: _T) -> None: ... def update(self, other: Iterable[_T]) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __contains__(self, item: object) -> bool: ... def __len__(self) -> int: ... def __iter__(self) -> Iterator[_T]: ... def __ior__(self, other: Iterable[_T]) -> Self: ... # type: ignore[override,misc] def difference(self, other: Iterable[_T]) -> Self: ... def __sub__(self, other: Iterable[Any]) -> Self: ... def difference_update(self, other: Iterable[Any]) -> None: ... def __isub__(self, other: Iterable[Any]) -> Self: ... def intersection(self, other: Iterable[_T]) -> Self: ... def __and__(self, other: Iterable[Any]) -> Self: ... def intersection_update(self, other: Iterable[Any]) -> None: ... def __iand__(self, other: Iterable[Any]) -> Self: ... def issubset(self, other: Iterable[_T]) -> bool: ... def __le__(self, other: Iterable[_T]) -> bool: ... def __lt__(self, other: Iterable[_T]) -> bool: ... def issuperset(self, other: Iterable[_T]) -> bool: ... def __ge__(self, other: Iterable[_T]) -> bool: ... def __gt__(self, other: Iterable[_T]) -> bool: ... def __eq__(self, other: object) -> bool: ... def symmetric_difference(self, other: Iterable[_S]) -> WeakSet[_S | _T]: ... def __xor__(self, other: Iterable[_S]) -> WeakSet[_S | _T]: ... def symmetric_difference_update(self, other: Iterable[_T]) -> None: ... def __ixor__(self, other: Iterable[_T]) -> Self: ... # type: ignore[override,misc] def union(self, other: Iterable[_S]) -> WeakSet[_S | _T]: ... def __or__(self, other: Iterable[_S]) -> WeakSet[_S | _T]: ... def isdisjoint(self, other: Iterable[_T]) -> bool: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_winapi.pyi0000644000175100017510000002515715112307767020546 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from collections.abc import Sequence from typing import Any, Final, Literal, NoReturn, final, overload if sys.platform == "win32": ABOVE_NORMAL_PRIORITY_CLASS: Final = 0x8000 BELOW_NORMAL_PRIORITY_CLASS: Final = 0x4000 CREATE_BREAKAWAY_FROM_JOB: Final = 0x1000000 CREATE_DEFAULT_ERROR_MODE: Final = 0x4000000 CREATE_NO_WINDOW: Final = 0x8000000 CREATE_NEW_CONSOLE: Final = 0x10 CREATE_NEW_PROCESS_GROUP: Final = 0x200 DETACHED_PROCESS: Final = 8 DUPLICATE_CLOSE_SOURCE: Final = 1 DUPLICATE_SAME_ACCESS: Final = 2 ERROR_ALREADY_EXISTS: Final = 183 ERROR_BROKEN_PIPE: Final = 109 ERROR_IO_PENDING: Final = 997 ERROR_MORE_DATA: Final = 234 ERROR_NETNAME_DELETED: Final = 64 ERROR_NO_DATA: Final = 232 ERROR_NO_SYSTEM_RESOURCES: Final = 1450 ERROR_OPERATION_ABORTED: Final = 995 ERROR_PIPE_BUSY: Final = 231 ERROR_PIPE_CONNECTED: Final = 535 ERROR_SEM_TIMEOUT: Final = 121 FILE_FLAG_FIRST_PIPE_INSTANCE: Final = 0x80000 FILE_FLAG_OVERLAPPED: Final = 0x40000000 FILE_GENERIC_READ: Final = 1179785 FILE_GENERIC_WRITE: Final = 1179926 FILE_MAP_ALL_ACCESS: Final = 983071 FILE_MAP_COPY: Final = 1 FILE_MAP_EXECUTE: Final = 32 FILE_MAP_READ: Final = 4 FILE_MAP_WRITE: Final = 2 FILE_TYPE_CHAR: Final = 2 FILE_TYPE_DISK: Final = 1 FILE_TYPE_PIPE: Final = 3 FILE_TYPE_REMOTE: Final = 32768 FILE_TYPE_UNKNOWN: Final = 0 GENERIC_READ: Final = 0x80000000 GENERIC_WRITE: Final = 0x40000000 HIGH_PRIORITY_CLASS: Final = 0x80 INFINITE: Final = 0xFFFFFFFF # Ignore the Flake8 error -- flake8-pyi assumes # most numbers this long will be implementation details, # but here we can see that it's a power of 2 INVALID_HANDLE_VALUE: Final = 0xFFFFFFFFFFFFFFFF # noqa: Y054 IDLE_PRIORITY_CLASS: Final = 0x40 NORMAL_PRIORITY_CLASS: Final = 0x20 REALTIME_PRIORITY_CLASS: Final = 0x100 NMPWAIT_WAIT_FOREVER: Final = 0xFFFFFFFF MEM_COMMIT: Final = 0x1000 MEM_FREE: Final = 0x10000 MEM_IMAGE: Final = 0x1000000 MEM_MAPPED: Final = 0x40000 MEM_PRIVATE: Final = 0x20000 MEM_RESERVE: Final = 0x2000 NULL: Final = 0 OPEN_EXISTING: Final = 3 PIPE_ACCESS_DUPLEX: Final = 3 PIPE_ACCESS_INBOUND: Final = 1 PIPE_READMODE_MESSAGE: Final = 2 PIPE_TYPE_MESSAGE: Final = 4 PIPE_UNLIMITED_INSTANCES: Final = 255 PIPE_WAIT: Final = 0 PAGE_EXECUTE: Final = 0x10 PAGE_EXECUTE_READ: Final = 0x20 PAGE_EXECUTE_READWRITE: Final = 0x40 PAGE_EXECUTE_WRITECOPY: Final = 0x80 PAGE_GUARD: Final = 0x100 PAGE_NOACCESS: Final = 0x1 PAGE_NOCACHE: Final = 0x200 PAGE_READONLY: Final = 0x2 PAGE_READWRITE: Final = 0x4 PAGE_WRITECOMBINE: Final = 0x400 PAGE_WRITECOPY: Final = 0x8 PROCESS_ALL_ACCESS: Final = 0x1FFFFF PROCESS_DUP_HANDLE: Final = 0x40 SEC_COMMIT: Final = 0x8000000 SEC_IMAGE: Final = 0x1000000 SEC_LARGE_PAGES: Final = 0x80000000 SEC_NOCACHE: Final = 0x10000000 SEC_RESERVE: Final = 0x4000000 SEC_WRITECOMBINE: Final = 0x40000000 if sys.version_info >= (3, 13): STARTF_FORCEOFFFEEDBACK: Final = 0x80 STARTF_FORCEONFEEDBACK: Final = 0x40 STARTF_PREVENTPINNING: Final = 0x2000 STARTF_RUNFULLSCREEN: Final = 0x20 STARTF_TITLEISAPPID: Final = 0x1000 STARTF_TITLEISLINKNAME: Final = 0x800 STARTF_UNTRUSTEDSOURCE: Final = 0x8000 STARTF_USECOUNTCHARS: Final = 0x8 STARTF_USEFILLATTRIBUTE: Final = 0x10 STARTF_USEHOTKEY: Final = 0x200 STARTF_USEPOSITION: Final = 0x4 STARTF_USESIZE: Final = 0x2 STARTF_USESHOWWINDOW: Final = 0x1 STARTF_USESTDHANDLES: Final = 0x100 STD_ERROR_HANDLE: Final = 0xFFFFFFF4 STD_OUTPUT_HANDLE: Final = 0xFFFFFFF5 STD_INPUT_HANDLE: Final = 0xFFFFFFF6 STILL_ACTIVE: Final = 259 SW_HIDE: Final = 0 SYNCHRONIZE: Final = 0x100000 WAIT_ABANDONED_0: Final = 128 WAIT_OBJECT_0: Final = 0 WAIT_TIMEOUT: Final = 258 if sys.version_info >= (3, 10): LOCALE_NAME_INVARIANT: Final[str] LOCALE_NAME_MAX_LENGTH: Final[int] LOCALE_NAME_SYSTEM_DEFAULT: Final[str] LOCALE_NAME_USER_DEFAULT: Final[str | None] LCMAP_FULLWIDTH: Final[int] LCMAP_HALFWIDTH: Final[int] LCMAP_HIRAGANA: Final[int] LCMAP_KATAKANA: Final[int] LCMAP_LINGUISTIC_CASING: Final[int] LCMAP_LOWERCASE: Final[int] LCMAP_SIMPLIFIED_CHINESE: Final[int] LCMAP_TITLECASE: Final[int] LCMAP_TRADITIONAL_CHINESE: Final[int] LCMAP_UPPERCASE: Final[int] if sys.version_info >= (3, 12): COPYFILE2_CALLBACK_CHUNK_STARTED: Final = 1 COPYFILE2_CALLBACK_CHUNK_FINISHED: Final = 2 COPYFILE2_CALLBACK_STREAM_STARTED: Final = 3 COPYFILE2_CALLBACK_STREAM_FINISHED: Final = 4 COPYFILE2_CALLBACK_POLL_CONTINUE: Final = 5 COPYFILE2_CALLBACK_ERROR: Final = 6 COPYFILE2_PROGRESS_CONTINUE: Final = 0 COPYFILE2_PROGRESS_CANCEL: Final = 1 COPYFILE2_PROGRESS_STOP: Final = 2 COPYFILE2_PROGRESS_QUIET: Final = 3 COPYFILE2_PROGRESS_PAUSE: Final = 4 COPY_FILE_FAIL_IF_EXISTS: Final = 0x1 COPY_FILE_RESTARTABLE: Final = 0x2 COPY_FILE_OPEN_SOURCE_FOR_WRITE: Final = 0x4 COPY_FILE_ALLOW_DECRYPTED_DESTINATION: Final = 0x8 COPY_FILE_COPY_SYMLINK: Final = 0x800 COPY_FILE_NO_BUFFERING: Final = 0x1000 COPY_FILE_REQUEST_SECURITY_PRIVILEGES: Final = 0x2000 COPY_FILE_RESUME_FROM_PAUSE: Final = 0x4000 COPY_FILE_NO_OFFLOAD: Final = 0x40000 COPY_FILE_REQUEST_COMPRESSED_TRAFFIC: Final = 0x10000000 ERROR_ACCESS_DENIED: Final = 5 ERROR_PRIVILEGE_NOT_HELD: Final = 1314 if sys.version_info >= (3, 14): COPY_FILE_DIRECTORY: Final = 0x00000080 def CloseHandle(handle: int, /) -> None: ... @overload def ConnectNamedPipe(handle: int, overlapped: Literal[True]) -> Overlapped: ... @overload def ConnectNamedPipe(handle: int, overlapped: Literal[False] = False) -> None: ... @overload def ConnectNamedPipe(handle: int, overlapped: bool) -> Overlapped | None: ... def CreateFile( file_name: str, desired_access: int, share_mode: int, security_attributes: int, creation_disposition: int, flags_and_attributes: int, template_file: int, /, ) -> int: ... def CreateJunction(src_path: str, dst_path: str, /) -> None: ... def CreateNamedPipe( name: str, open_mode: int, pipe_mode: int, max_instances: int, out_buffer_size: int, in_buffer_size: int, default_timeout: int, security_attributes: int, /, ) -> int: ... def CreatePipe(pipe_attrs: Any, size: int, /) -> tuple[int, int]: ... def CreateProcess( application_name: str | None, command_line: str | None, proc_attrs: Any, thread_attrs: Any, inherit_handles: bool, creation_flags: int, env_mapping: dict[str, str], current_directory: str | None, startup_info: Any, /, ) -> tuple[int, int, int, int]: ... def DuplicateHandle( source_process_handle: int, source_handle: int, target_process_handle: int, desired_access: int, inherit_handle: bool, options: int = 0, /, ) -> int: ... def ExitProcess(ExitCode: int, /) -> NoReturn: ... def GetACP() -> int: ... def GetFileType(handle: int) -> int: ... def GetCurrentProcess() -> int: ... def GetExitCodeProcess(process: int, /) -> int: ... def GetLastError() -> int: ... def GetModuleFileName(module_handle: int, /) -> str: ... def GetStdHandle(std_handle: int, /) -> int: ... def GetVersion() -> int: ... def OpenProcess(desired_access: int, inherit_handle: bool, process_id: int, /) -> int: ... def PeekNamedPipe(handle: int, size: int = 0, /) -> tuple[int, int] | tuple[bytes, int, int]: ... if sys.version_info >= (3, 10): def LCMapStringEx(locale: str, flags: int, src: str) -> str: ... def UnmapViewOfFile(address: int, /) -> None: ... @overload def ReadFile(handle: int, size: int, overlapped: Literal[True]) -> tuple[Overlapped, int]: ... @overload def ReadFile(handle: int, size: int, overlapped: Literal[False] = False) -> tuple[bytes, int]: ... @overload def ReadFile(handle: int, size: int, overlapped: int | bool) -> tuple[Any, int]: ... def SetNamedPipeHandleState( named_pipe: int, mode: int | None, max_collection_count: int | None, collect_data_timeout: int | None, / ) -> None: ... def TerminateProcess(handle: int, exit_code: int, /) -> None: ... def WaitForMultipleObjects(handle_seq: Sequence[int], wait_flag: bool, milliseconds: int = 0xFFFFFFFF, /) -> int: ... def WaitForSingleObject(handle: int, milliseconds: int, /) -> int: ... def WaitNamedPipe(name: str, timeout: int, /) -> None: ... @overload def WriteFile(handle: int, buffer: ReadableBuffer, overlapped: Literal[True]) -> tuple[Overlapped, int]: ... @overload def WriteFile(handle: int, buffer: ReadableBuffer, overlapped: Literal[False] = False) -> tuple[int, int]: ... @overload def WriteFile(handle: int, buffer: ReadableBuffer, overlapped: int | bool) -> tuple[Any, int]: ... @final class Overlapped: event: int def GetOverlappedResult(self, wait: bool, /) -> tuple[int, int]: ... def cancel(self) -> None: ... def getbuffer(self) -> bytes | None: ... if sys.version_info >= (3, 13): def BatchedWaitForMultipleObjects( handle_seq: Sequence[int], wait_all: bool, milliseconds: int = 0xFFFFFFFF ) -> list[int]: ... def CreateEventW(security_attributes: int, manual_reset: bool, initial_state: bool, name: str | None) -> int: ... def CreateMutexW(security_attributes: int, initial_owner: bool, name: str) -> int: ... def GetLongPathName(path: str) -> str: ... def GetShortPathName(path: str) -> str: ... def OpenEventW(desired_access: int, inherit_handle: bool, name: str) -> int: ... def OpenMutexW(desired_access: int, inherit_handle: bool, name: str) -> int: ... def ReleaseMutex(mutex: int) -> None: ... def ResetEvent(event: int) -> None: ... def SetEvent(event: int) -> None: ... if sys.version_info >= (3, 12): def CopyFile2(existing_file_name: str, new_file_name: str, flags: int, progress_routine: int | None = None) -> int: ... def NeedCurrentDirectoryForExePath(exe_name: str, /) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/_zstd.pyi0000644000175100017510000000675215112307767020243 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer from collections.abc import Mapping from compression.zstd import CompressionParameter, DecompressionParameter from typing import Final, Literal, final from typing_extensions import Self, TypeAlias ZSTD_CLEVEL_DEFAULT: Final = 3 ZSTD_DStreamOutSize: Final = 131072 ZSTD_btlazy2: Final = 6 ZSTD_btopt: Final = 7 ZSTD_btultra: Final = 8 ZSTD_btultra2: Final = 9 ZSTD_c_chainLog: Final = 103 ZSTD_c_checksumFlag: Final = 201 ZSTD_c_compressionLevel: Final = 100 ZSTD_c_contentSizeFlag: Final = 200 ZSTD_c_dictIDFlag: Final = 202 ZSTD_c_enableLongDistanceMatching: Final = 160 ZSTD_c_hashLog: Final = 102 ZSTD_c_jobSize: Final = 401 ZSTD_c_ldmBucketSizeLog: Final = 163 ZSTD_c_ldmHashLog: Final = 161 ZSTD_c_ldmHashRateLog: Final = 164 ZSTD_c_ldmMinMatch: Final = 162 ZSTD_c_minMatch: Final = 105 ZSTD_c_nbWorkers: Final = 400 ZSTD_c_overlapLog: Final = 402 ZSTD_c_searchLog: Final = 104 ZSTD_c_strategy: Final = 107 ZSTD_c_targetLength: Final = 106 ZSTD_c_windowLog: Final = 101 ZSTD_d_windowLogMax: Final = 100 ZSTD_dfast: Final = 2 ZSTD_fast: Final = 1 ZSTD_greedy: Final = 3 ZSTD_lazy: Final = 4 ZSTD_lazy2: Final = 5 _ZstdCompressorContinue: TypeAlias = Literal[0] _ZstdCompressorFlushBlock: TypeAlias = Literal[1] _ZstdCompressorFlushFrame: TypeAlias = Literal[2] @final class ZstdCompressor: CONTINUE: Final = 0 FLUSH_BLOCK: Final = 1 FLUSH_FRAME: Final = 2 def __new__( cls, level: int | None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None ) -> Self: ... def compress( self, /, data: ReadableBuffer, mode: _ZstdCompressorContinue | _ZstdCompressorFlushBlock | _ZstdCompressorFlushFrame = 0 ) -> bytes: ... def flush(self, /, mode: _ZstdCompressorFlushBlock | _ZstdCompressorFlushFrame = 2) -> bytes: ... def set_pledged_input_size(self, size: int | None, /) -> None: ... @property def last_mode(self) -> _ZstdCompressorContinue | _ZstdCompressorFlushBlock | _ZstdCompressorFlushFrame: ... @final class ZstdDecompressor: def __new__(cls, zstd_dict: ZstdDict | None = None, options: Mapping[int, int] | None = None) -> Self: ... def decompress(self, /, data: ReadableBuffer, max_length: int = -1) -> bytes: ... @property def eof(self) -> bool: ... @property def needs_input(self) -> bool: ... @property def unused_data(self) -> bytes: ... @final class ZstdDict: def __new__(cls, dict_content: bytes, /, *, is_raw: bool = False) -> Self: ... def __len__(self, /) -> int: ... @property def as_digested_dict(self) -> tuple[Self, int]: ... @property def as_prefix(self) -> tuple[Self, int]: ... @property def as_undigested_dict(self) -> tuple[Self, int]: ... @property def dict_content(self) -> bytes: ... @property def dict_id(self) -> int: ... class ZstdError(Exception): ... def finalize_dict( custom_dict_bytes: bytes, samples_bytes: bytes, samples_sizes: tuple[int, ...], dict_size: int, compression_level: int, / ) -> bytes: ... def get_frame_info(frame_buffer: ReadableBuffer) -> tuple[int, int]: ... def get_frame_size(frame_buffer: ReadableBuffer) -> int: ... def get_param_bounds(parameter: int, is_compress: bool) -> tuple[int, int]: ... def set_parameter_types(c_parameter_type: type[CompressionParameter], d_parameter_type: type[DecompressionParameter]) -> None: ... def train_dict(samples_bytes: bytes, samples_sizes: tuple[int, ...], dict_size: int, /) -> bytes: ... zstd_version: Final[str] zstd_version_number: Final[int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/abc.pyi0000644000175100017510000000411215112307767017631 0ustar00runnerrunnerimport _typeshed import sys from _typeshed import SupportsWrite from collections.abc import Callable from typing import Any, Literal, TypeVar from typing_extensions import Concatenate, ParamSpec, deprecated _T = TypeVar("_T") _R_co = TypeVar("_R_co", covariant=True) _FuncT = TypeVar("_FuncT", bound=Callable[..., Any]) _P = ParamSpec("_P") # These definitions have special processing in mypy class ABCMeta(type): __abstractmethods__: frozenset[str] if sys.version_info >= (3, 11): def __new__( mcls: type[_typeshed.Self], name: str, bases: tuple[type, ...], namespace: dict[str, Any], /, **kwargs: Any ) -> _typeshed.Self: ... else: def __new__( mcls: type[_typeshed.Self], name: str, bases: tuple[type, ...], namespace: dict[str, Any], **kwargs: Any ) -> _typeshed.Self: ... def __instancecheck__(cls: ABCMeta, instance: Any) -> bool: ... def __subclasscheck__(cls: ABCMeta, subclass: type) -> bool: ... def _dump_registry(cls: ABCMeta, file: SupportsWrite[str] | None = None) -> None: ... def register(cls: ABCMeta, subclass: type[_T]) -> type[_T]: ... def abstractmethod(funcobj: _FuncT) -> _FuncT: ... @deprecated("Deprecated since Python 3.3. Use `@classmethod` stacked on top of `@abstractmethod` instead.") class abstractclassmethod(classmethod[_T, _P, _R_co]): __isabstractmethod__: Literal[True] def __init__(self, callable: Callable[Concatenate[type[_T], _P], _R_co]) -> None: ... @deprecated("Deprecated since Python 3.3. Use `@staticmethod` stacked on top of `@abstractmethod` instead.") class abstractstaticmethod(staticmethod[_P, _R_co]): __isabstractmethod__: Literal[True] def __init__(self, callable: Callable[_P, _R_co]) -> None: ... @deprecated("Deprecated since Python 3.3. Use `@property` stacked on top of `@abstractmethod` instead.") class abstractproperty(property): __isabstractmethod__: Literal[True] class ABC(metaclass=ABCMeta): __slots__ = () def get_cache_token() -> object: ... if sys.version_info >= (3, 10): def update_abstractmethods(cls: type[_T]) -> type[_T]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/aifc.pyi0000644000175100017510000000565215112307767020020 0ustar00runnerrunnerfrom types import TracebackType from typing import IO, Any, Literal, NamedTuple, overload from typing_extensions import Self, TypeAlias __all__ = ["Error", "open"] class Error(Exception): ... class _aifc_params(NamedTuple): nchannels: int sampwidth: int framerate: int nframes: int comptype: bytes compname: bytes _File: TypeAlias = str | IO[bytes] _Marker: TypeAlias = tuple[int, int, bytes] class Aifc_read: def __init__(self, f: _File) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def initfp(self, file: IO[bytes]) -> None: ... def getfp(self) -> IO[bytes]: ... def rewind(self) -> None: ... def close(self) -> None: ... def tell(self) -> int: ... def getnchannels(self) -> int: ... def getnframes(self) -> int: ... def getsampwidth(self) -> int: ... def getframerate(self) -> int: ... def getcomptype(self) -> bytes: ... def getcompname(self) -> bytes: ... def getparams(self) -> _aifc_params: ... def getmarkers(self) -> list[_Marker] | None: ... def getmark(self, id: int) -> _Marker: ... def setpos(self, pos: int) -> None: ... def readframes(self, nframes: int) -> bytes: ... class Aifc_write: def __init__(self, f: _File) -> None: ... def __del__(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def initfp(self, file: IO[bytes]) -> None: ... def aiff(self) -> None: ... def aifc(self) -> None: ... def setnchannels(self, nchannels: int) -> None: ... def getnchannels(self) -> int: ... def setsampwidth(self, sampwidth: int) -> None: ... def getsampwidth(self) -> int: ... def setframerate(self, framerate: int) -> None: ... def getframerate(self) -> int: ... def setnframes(self, nframes: int) -> None: ... def getnframes(self) -> int: ... def setcomptype(self, comptype: bytes, compname: bytes) -> None: ... def getcomptype(self) -> bytes: ... def getcompname(self) -> bytes: ... def setparams(self, params: tuple[int, int, int, int, bytes, bytes]) -> None: ... def getparams(self) -> _aifc_params: ... def setmark(self, id: int, pos: int, name: bytes) -> None: ... def getmark(self, id: int) -> _Marker: ... def getmarkers(self) -> list[_Marker] | None: ... def tell(self) -> int: ... def writeframesraw(self, data: Any) -> None: ... # Actual type for data is Buffer Protocol def writeframes(self, data: Any) -> None: ... def close(self) -> None: ... @overload def open(f: _File, mode: Literal["r", "rb"]) -> Aifc_read: ... @overload def open(f: _File, mode: Literal["w", "wb"]) -> Aifc_write: ... @overload def open(f: _File, mode: str | None = None) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/annotationlib.pyi0000644000175100017510000001247315112307767021756 0ustar00runnerrunnerimport sys from typing import Literal if sys.version_info >= (3, 14): import enum import types from _typeshed import AnnotateFunc, AnnotationForm, EvaluateFunc, SupportsItems from collections.abc import Mapping from typing import Any, ParamSpec, TypeVar, TypeVarTuple, final, overload from warnings import deprecated __all__ = [ "Format", "ForwardRef", "call_annotate_function", "call_evaluate_function", "get_annotate_from_class_namespace", "get_annotations", "annotations_to_string", "type_repr", ] class Format(enum.IntEnum): VALUE = 1 VALUE_WITH_FAKE_GLOBALS = 2 FORWARDREF = 3 STRING = 4 @final class ForwardRef: __slots__ = ( "__forward_is_argument__", "__forward_is_class__", "__forward_module__", "__weakref__", "__arg__", "__globals__", "__extra_names__", "__code__", "__ast_node__", "__cell__", "__owner__", "__stringifier_dict__", ) __forward_is_argument__: bool __forward_is_class__: bool __forward_module__: str | None def __init__( self, arg: str, *, module: str | None = None, owner: object = None, is_argument: bool = True, is_class: bool = False ) -> None: ... @overload def evaluate( self, *, globals: dict[str, Any] | None = None, locals: Mapping[str, Any] | None = None, type_params: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] | None = None, owner: object = None, format: Literal[Format.STRING], ) -> str: ... @overload def evaluate( self, *, globals: dict[str, Any] | None = None, locals: Mapping[str, Any] | None = None, type_params: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] | None = None, owner: object = None, format: Literal[Format.FORWARDREF], ) -> AnnotationForm | ForwardRef: ... @overload def evaluate( self, *, globals: dict[str, Any] | None = None, locals: Mapping[str, Any] | None = None, type_params: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] | None = None, owner: object = None, format: Format = Format.VALUE, # noqa: Y011 ) -> AnnotationForm: ... @deprecated("Use `ForwardRef.evaluate()` or `typing.evaluate_forward_ref()` instead.") def _evaluate( self, globalns: dict[str, Any] | None, localns: Mapping[str, Any] | None, type_params: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] = ..., *, recursive_guard: frozenset[str], ) -> AnnotationForm: ... @property def __forward_arg__(self) -> str: ... @property def __forward_code__(self) -> types.CodeType: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... def __or__(self, other: Any) -> types.UnionType: ... def __ror__(self, other: Any) -> types.UnionType: ... @overload def call_evaluate_function(evaluate: EvaluateFunc, format: Literal[Format.STRING], *, owner: object = None) -> str: ... @overload def call_evaluate_function( evaluate: EvaluateFunc, format: Literal[Format.FORWARDREF], *, owner: object = None ) -> AnnotationForm | ForwardRef: ... @overload def call_evaluate_function(evaluate: EvaluateFunc, format: Format, *, owner: object = None) -> AnnotationForm: ... @overload def call_annotate_function( annotate: AnnotateFunc, format: Literal[Format.STRING], *, owner: object = None ) -> dict[str, str]: ... @overload def call_annotate_function( annotate: AnnotateFunc, format: Literal[Format.FORWARDREF], *, owner: object = None ) -> dict[str, AnnotationForm | ForwardRef]: ... @overload def call_annotate_function(annotate: AnnotateFunc, format: Format, *, owner: object = None) -> dict[str, AnnotationForm]: ... def get_annotate_from_class_namespace(obj: Mapping[str, object]) -> AnnotateFunc | None: ... @overload def get_annotations( obj: Any, # any object with __annotations__ or __annotate__ *, globals: dict[str, object] | None = None, locals: Mapping[str, object] | None = None, eval_str: bool = False, format: Literal[Format.STRING], ) -> dict[str, str]: ... @overload def get_annotations( obj: Any, *, globals: dict[str, object] | None = None, locals: Mapping[str, object] | None = None, eval_str: bool = False, format: Literal[Format.FORWARDREF], ) -> dict[str, AnnotationForm | ForwardRef]: ... @overload def get_annotations( obj: Any, *, globals: dict[str, object] | None = None, locals: Mapping[str, object] | None = None, eval_str: bool = False, format: Format = Format.VALUE, # noqa: Y011 ) -> dict[str, AnnotationForm]: ... def type_repr(value: object) -> str: ... def annotations_to_string(annotations: SupportsItems[str, object]) -> dict[str, str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/antigravity.pyi0000644000175100017510000000017315112307767021450 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer def geohash(latitude: float, longitude: float, datedow: ReadableBuffer) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/argparse.pyi0000644000175100017510000007425715112307767020731 0ustar00runnerrunnerimport sys from _typeshed import SupportsWrite, sentinel from collections.abc import Callable, Generator, Iterable, Sequence from re import Pattern from typing import IO, Any, ClassVar, Final, Generic, NewType, NoReturn, Protocol, TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias, deprecated __all__ = [ "ArgumentParser", "ArgumentError", "ArgumentTypeError", "FileType", "HelpFormatter", "ArgumentDefaultsHelpFormatter", "RawDescriptionHelpFormatter", "RawTextHelpFormatter", "MetavarTypeHelpFormatter", "Namespace", "Action", "BooleanOptionalAction", "ONE_OR_MORE", "OPTIONAL", "PARSER", "REMAINDER", "SUPPRESS", "ZERO_OR_MORE", ] _T = TypeVar("_T") _ActionT = TypeVar("_ActionT", bound=Action) _ArgumentParserT = TypeVar("_ArgumentParserT", bound=ArgumentParser) _N = TypeVar("_N") _ActionType: TypeAlias = Callable[[str], Any] | FileType | str ONE_OR_MORE: Final = "+" OPTIONAL: Final = "?" PARSER: Final = "A..." REMAINDER: Final = "..." _SUPPRESS_T = NewType("_SUPPRESS_T", str) SUPPRESS: _SUPPRESS_T | str # not using Literal because argparse sometimes compares SUPPRESS with is # the | str is there so that foo = argparse.SUPPRESS; foo = "test" checks out in mypy ZERO_OR_MORE: Final = "*" _UNRECOGNIZED_ARGS_ATTR: Final = "_unrecognized_args" # undocumented class ArgumentError(Exception): argument_name: str | None message: str def __init__(self, argument: Action | None, message: str) -> None: ... # undocumented class _AttributeHolder: def _get_kwargs(self) -> list[tuple[str, Any]]: ... def _get_args(self) -> list[Any]: ... # undocumented class _ActionsContainer: description: str | None prefix_chars: str argument_default: Any conflict_handler: str _registries: dict[str, dict[Any, Any]] _actions: list[Action] _option_string_actions: dict[str, Action] _action_groups: list[_ArgumentGroup] _mutually_exclusive_groups: list[_MutuallyExclusiveGroup] _defaults: dict[str, Any] _negative_number_matcher: Pattern[str] _has_negative_number_optionals: list[bool] def __init__(self, description: str | None, prefix_chars: str, argument_default: Any, conflict_handler: str) -> None: ... def register(self, registry_name: str, value: Any, object: Any) -> None: ... def _registry_get(self, registry_name: str, value: Any, default: Any = None) -> Any: ... def set_defaults(self, **kwargs: Any) -> None: ... def get_default(self, dest: str) -> Any: ... def add_argument( self, *name_or_flags: str, # str covers predefined actions ("store_true", "count", etc.) # and user registered actions via the `register` method. action: str | type[Action] = ..., # more precisely, Literal["?", "*", "+", "...", "A...", "==SUPPRESS=="], # but using this would make it hard to annotate callers that don't use a # literal argument and for subclasses to override this method. nargs: int | str | _SUPPRESS_T | None = None, const: Any = ..., default: Any = ..., type: _ActionType = ..., choices: Iterable[_T] | None = ..., required: bool = ..., help: str | None = ..., metavar: str | tuple[str, ...] | None = ..., dest: str | None = ..., version: str = ..., **kwargs: Any, ) -> Action: ... def add_argument_group( self, title: str | None = None, description: str | None = None, *, prefix_chars: str = ..., argument_default: Any = ..., conflict_handler: str = ..., ) -> _ArgumentGroup: ... def add_mutually_exclusive_group(self, *, required: bool = False) -> _MutuallyExclusiveGroup: ... def _add_action(self, action: _ActionT) -> _ActionT: ... def _remove_action(self, action: Action) -> None: ... def _add_container_actions(self, container: _ActionsContainer) -> None: ... def _get_positional_kwargs(self, dest: str, **kwargs: Any) -> dict[str, Any]: ... def _get_optional_kwargs(self, *args: Any, **kwargs: Any) -> dict[str, Any]: ... def _pop_action_class(self, kwargs: Any, default: type[Action] | None = None) -> type[Action]: ... def _get_handler(self) -> Callable[[Action, Iterable[tuple[str, Action]]], Any]: ... def _check_conflict(self, action: Action) -> None: ... def _handle_conflict_error(self, action: Action, conflicting_actions: Iterable[tuple[str, Action]]) -> NoReturn: ... def _handle_conflict_resolve(self, action: Action, conflicting_actions: Iterable[tuple[str, Action]]) -> None: ... @type_check_only class _FormatterClass(Protocol): def __call__(self, *, prog: str) -> HelpFormatter: ... class ArgumentParser(_AttributeHolder, _ActionsContainer): prog: str usage: str | None epilog: str | None formatter_class: _FormatterClass fromfile_prefix_chars: str | None add_help: bool allow_abbrev: bool exit_on_error: bool if sys.version_info >= (3, 14): suggest_on_error: bool color: bool # undocumented _positionals: _ArgumentGroup _optionals: _ArgumentGroup _subparsers: _ArgumentGroup | None # Note: the constructor arguments are also used in _SubParsersAction.add_parser. if sys.version_info >= (3, 14): def __init__( self, prog: str | None = None, usage: str | None = None, description: str | None = None, epilog: str | None = None, parents: Sequence[ArgumentParser] = [], formatter_class: _FormatterClass = ..., prefix_chars: str = "-", fromfile_prefix_chars: str | None = None, argument_default: Any = None, conflict_handler: str = "error", add_help: bool = True, allow_abbrev: bool = True, exit_on_error: bool = True, *, suggest_on_error: bool = False, color: bool = True, ) -> None: ... else: def __init__( self, prog: str | None = None, usage: str | None = None, description: str | None = None, epilog: str | None = None, parents: Sequence[ArgumentParser] = [], formatter_class: _FormatterClass = ..., prefix_chars: str = "-", fromfile_prefix_chars: str | None = None, argument_default: Any = None, conflict_handler: str = "error", add_help: bool = True, allow_abbrev: bool = True, exit_on_error: bool = True, ) -> None: ... @overload def parse_args(self, args: Sequence[str] | None = None, namespace: None = None) -> Namespace: ... @overload def parse_args(self, args: Sequence[str] | None, namespace: _N) -> _N: ... @overload def parse_args(self, *, namespace: _N) -> _N: ... @overload def add_subparsers( self: _ArgumentParserT, *, title: str = "subcommands", description: str | None = None, prog: str | None = None, action: type[Action] = ..., option_string: str = ..., dest: str | None = None, required: bool = False, help: str | None = None, metavar: str | None = None, ) -> _SubParsersAction[_ArgumentParserT]: ... @overload def add_subparsers( self, *, title: str = "subcommands", description: str | None = None, prog: str | None = None, parser_class: type[_ArgumentParserT], action: type[Action] = ..., option_string: str = ..., dest: str | None = None, required: bool = False, help: str | None = None, metavar: str | None = None, ) -> _SubParsersAction[_ArgumentParserT]: ... def print_usage(self, file: SupportsWrite[str] | None = None) -> None: ... def print_help(self, file: SupportsWrite[str] | None = None) -> None: ... def format_usage(self) -> str: ... def format_help(self) -> str: ... @overload def parse_known_args(self, args: Sequence[str] | None = None, namespace: None = None) -> tuple[Namespace, list[str]]: ... @overload def parse_known_args(self, args: Sequence[str] | None, namespace: _N) -> tuple[_N, list[str]]: ... @overload def parse_known_args(self, *, namespace: _N) -> tuple[_N, list[str]]: ... def convert_arg_line_to_args(self, arg_line: str) -> list[str]: ... def exit(self, status: int = 0, message: str | None = None) -> NoReturn: ... def error(self, message: str) -> NoReturn: ... @overload def parse_intermixed_args(self, args: Sequence[str] | None = None, namespace: None = None) -> Namespace: ... @overload def parse_intermixed_args(self, args: Sequence[str] | None, namespace: _N) -> _N: ... @overload def parse_intermixed_args(self, *, namespace: _N) -> _N: ... @overload def parse_known_intermixed_args( self, args: Sequence[str] | None = None, namespace: None = None ) -> tuple[Namespace, list[str]]: ... @overload def parse_known_intermixed_args(self, args: Sequence[str] | None, namespace: _N) -> tuple[_N, list[str]]: ... @overload def parse_known_intermixed_args(self, *, namespace: _N) -> tuple[_N, list[str]]: ... # undocumented def _get_optional_actions(self) -> list[Action]: ... def _get_positional_actions(self) -> list[Action]: ... if sys.version_info >= (3, 12): def _parse_known_args( self, arg_strings: list[str], namespace: Namespace, intermixed: bool ) -> tuple[Namespace, list[str]]: ... else: def _parse_known_args(self, arg_strings: list[str], namespace: Namespace) -> tuple[Namespace, list[str]]: ... def _read_args_from_files(self, arg_strings: list[str]) -> list[str]: ... def _match_argument(self, action: Action, arg_strings_pattern: str) -> int: ... def _match_arguments_partial(self, actions: Sequence[Action], arg_strings_pattern: str) -> list[int]: ... def _parse_optional(self, arg_string: str) -> tuple[Action | None, str, str | None] | None: ... def _get_option_tuples(self, option_string: str) -> list[tuple[Action, str, str | None]]: ... def _get_nargs_pattern(self, action: Action) -> str: ... def _get_values(self, action: Action, arg_strings: list[str]) -> Any: ... def _get_value(self, action: Action, arg_string: str) -> Any: ... def _check_value(self, action: Action, value: Any) -> None: ... def _get_formatter(self) -> HelpFormatter: ... def _print_message(self, message: str, file: SupportsWrite[str] | None = None) -> None: ... class HelpFormatter: # undocumented _prog: str _indent_increment: int _max_help_position: int _width: int _current_indent: int _level: int _action_max_length: int _root_section: _Section _current_section: _Section _whitespace_matcher: Pattern[str] _long_break_matcher: Pattern[str] class _Section: formatter: HelpFormatter heading: str | None parent: Self | None items: list[tuple[Callable[..., str], Iterable[Any]]] def __init__(self, formatter: HelpFormatter, parent: Self | None, heading: str | None = None) -> None: ... def format_help(self) -> str: ... if sys.version_info >= (3, 14): def __init__( self, prog: str, indent_increment: int = 2, max_help_position: int = 24, width: int | None = None, color: bool = True ) -> None: ... else: def __init__( self, prog: str, indent_increment: int = 2, max_help_position: int = 24, width: int | None = None ) -> None: ... def _indent(self) -> None: ... def _dedent(self) -> None: ... def _add_item(self, func: Callable[..., str], args: Iterable[Any]) -> None: ... def start_section(self, heading: str | None) -> None: ... def end_section(self) -> None: ... def add_text(self, text: str | None) -> None: ... def add_usage( self, usage: str | None, actions: Iterable[Action], groups: Iterable[_MutuallyExclusiveGroup], prefix: str | None = None ) -> None: ... def add_argument(self, action: Action) -> None: ... def add_arguments(self, actions: Iterable[Action]) -> None: ... def format_help(self) -> str: ... def _join_parts(self, part_strings: Iterable[str]) -> str: ... def _format_usage( self, usage: str | None, actions: Iterable[Action], groups: Iterable[_MutuallyExclusiveGroup], prefix: str | None ) -> str: ... def _format_actions_usage(self, actions: Iterable[Action], groups: Iterable[_MutuallyExclusiveGroup]) -> str: ... def _format_text(self, text: str) -> str: ... def _format_action(self, action: Action) -> str: ... def _format_action_invocation(self, action: Action) -> str: ... def _metavar_formatter(self, action: Action, default_metavar: str) -> Callable[[int], tuple[str, ...]]: ... def _format_args(self, action: Action, default_metavar: str) -> str: ... def _expand_help(self, action: Action) -> str: ... def _iter_indented_subactions(self, action: Action) -> Generator[Action, None, None]: ... def _split_lines(self, text: str, width: int) -> list[str]: ... def _fill_text(self, text: str, width: int, indent: str) -> str: ... def _get_help_string(self, action: Action) -> str | None: ... def _get_default_metavar_for_optional(self, action: Action) -> str: ... def _get_default_metavar_for_positional(self, action: Action) -> str: ... class RawDescriptionHelpFormatter(HelpFormatter): ... class RawTextHelpFormatter(RawDescriptionHelpFormatter): ... class ArgumentDefaultsHelpFormatter(HelpFormatter): ... class MetavarTypeHelpFormatter(HelpFormatter): ... class Action(_AttributeHolder): option_strings: Sequence[str] dest: str nargs: int | str | None const: Any default: Any type: _ActionType | None choices: Iterable[Any] | None required: bool help: str | None metavar: str | tuple[str, ...] | None if sys.version_info >= (3, 13): def __init__( self, option_strings: Sequence[str], dest: str, nargs: int | str | None = None, const: _T | None = None, default: _T | str | None = None, type: Callable[[str], _T] | FileType | None = None, choices: Iterable[_T] | None = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, deprecated: bool = False, ) -> None: ... else: def __init__( self, option_strings: Sequence[str], dest: str, nargs: int | str | None = None, const: _T | None = None, default: _T | str | None = None, type: Callable[[str], _T] | FileType | None = None, choices: Iterable[_T] | None = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, ) -> None: ... def __call__( self, parser: ArgumentParser, namespace: Namespace, values: str | Sequence[Any] | None, option_string: str | None = None ) -> None: ... def format_usage(self) -> str: ... if sys.version_info >= (3, 12): class BooleanOptionalAction(Action): if sys.version_info >= (3, 14): def __init__( self, option_strings: Sequence[str], dest: str, default: bool | None = None, required: bool = False, help: str | None = None, deprecated: bool = False, ) -> None: ... elif sys.version_info >= (3, 13): @overload def __init__( self, option_strings: Sequence[str], dest: str, default: bool | None = None, *, required: bool = False, help: str | None = None, deprecated: bool = False, ) -> None: ... @overload @deprecated("The `type`, `choices`, and `metavar` parameters are ignored and will be removed in Python 3.14.") def __init__( self, option_strings: Sequence[str], dest: str, default: _T | bool | None = None, type: Callable[[str], _T] | FileType | None = sentinel, choices: Iterable[_T] | None = sentinel, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = sentinel, deprecated: bool = False, ) -> None: ... else: @overload def __init__( self, option_strings: Sequence[str], dest: str, default: bool | None = None, *, required: bool = False, help: str | None = None, ) -> None: ... @overload @deprecated("The `type`, `choices`, and `metavar` parameters are ignored and will be removed in Python 3.14.") def __init__( self, option_strings: Sequence[str], dest: str, default: _T | bool | None = None, type: Callable[[str], _T] | FileType | None = sentinel, choices: Iterable[_T] | None = sentinel, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = sentinel, ) -> None: ... else: class BooleanOptionalAction(Action): @overload def __init__( self, option_strings: Sequence[str], dest: str, default: bool | None = None, *, required: bool = False, help: str | None = None, ) -> None: ... @overload @deprecated("The `type`, `choices`, and `metavar` parameters are ignored and will be removed in Python 3.14.") def __init__( self, option_strings: Sequence[str], dest: str, default: _T | bool | None = None, type: Callable[[str], _T] | FileType | None = None, choices: Iterable[_T] | None = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, ) -> None: ... class Namespace(_AttributeHolder): def __init__(self, **kwargs: Any) -> None: ... def __getattr__(self, name: str) -> Any: ... def __setattr__(self, name: str, value: Any, /) -> None: ... def __contains__(self, key: str) -> bool: ... def __eq__(self, other: object) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] if sys.version_info >= (3, 14): @deprecated("Deprecated since Python 3.14. Open files after parsing arguments instead.") class FileType: # undocumented _mode: str _bufsize: int _encoding: str | None _errors: str | None def __init__( self, mode: str = "r", bufsize: int = -1, encoding: str | None = None, errors: str | None = None ) -> None: ... def __call__(self, string: str) -> IO[Any]: ... else: class FileType: # undocumented _mode: str _bufsize: int _encoding: str | None _errors: str | None def __init__( self, mode: str = "r", bufsize: int = -1, encoding: str | None = None, errors: str | None = None ) -> None: ... def __call__(self, string: str) -> IO[Any]: ... # undocumented class _ArgumentGroup(_ActionsContainer): title: str | None _group_actions: list[Action] if sys.version_info >= (3, 14): @overload def __init__( self, container: _ActionsContainer, title: str | None = None, description: str | None = None, *, argument_default: Any = ..., conflict_handler: str = ..., ) -> None: ... @overload @deprecated("Undocumented `prefix_chars` parameter is deprecated since Python 3.14.") def __init__( self, container: _ActionsContainer, title: str | None = None, description: str | None = None, *, prefix_chars: str, argument_default: Any = ..., conflict_handler: str = ..., ) -> None: ... else: def __init__( self, container: _ActionsContainer, title: str | None = None, description: str | None = None, *, prefix_chars: str = ..., argument_default: Any = ..., conflict_handler: str = ..., ) -> None: ... # undocumented class _MutuallyExclusiveGroup(_ArgumentGroup): required: bool _container: _ActionsContainer def __init__(self, container: _ActionsContainer, required: bool = False) -> None: ... # undocumented class _StoreAction(Action): ... # undocumented class _StoreConstAction(Action): if sys.version_info >= (3, 13): def __init__( self, option_strings: Sequence[str], dest: str, const: Any | None = None, default: Any = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, deprecated: bool = False, ) -> None: ... elif sys.version_info >= (3, 11): def __init__( self, option_strings: Sequence[str], dest: str, const: Any | None = None, default: Any = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, ) -> None: ... else: def __init__( self, option_strings: Sequence[str], dest: str, const: Any, default: Any = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, ) -> None: ... # undocumented class _StoreTrueAction(_StoreConstAction): if sys.version_info >= (3, 13): def __init__( self, option_strings: Sequence[str], dest: str, default: bool = False, required: bool = False, help: str | None = None, deprecated: bool = False, ) -> None: ... else: def __init__( self, option_strings: Sequence[str], dest: str, default: bool = False, required: bool = False, help: str | None = None ) -> None: ... # undocumented class _StoreFalseAction(_StoreConstAction): if sys.version_info >= (3, 13): def __init__( self, option_strings: Sequence[str], dest: str, default: bool = True, required: bool = False, help: str | None = None, deprecated: bool = False, ) -> None: ... else: def __init__( self, option_strings: Sequence[str], dest: str, default: bool = True, required: bool = False, help: str | None = None ) -> None: ... # undocumented class _AppendAction(Action): ... # undocumented class _ExtendAction(_AppendAction): ... # undocumented class _AppendConstAction(Action): if sys.version_info >= (3, 13): def __init__( self, option_strings: Sequence[str], dest: str, const: Any | None = None, default: Any = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, deprecated: bool = False, ) -> None: ... elif sys.version_info >= (3, 11): def __init__( self, option_strings: Sequence[str], dest: str, const: Any | None = None, default: Any = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, ) -> None: ... else: def __init__( self, option_strings: Sequence[str], dest: str, const: Any, default: Any = None, required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, ) -> None: ... # undocumented class _CountAction(Action): if sys.version_info >= (3, 13): def __init__( self, option_strings: Sequence[str], dest: str, default: Any = None, required: bool = False, help: str | None = None, deprecated: bool = False, ) -> None: ... else: def __init__( self, option_strings: Sequence[str], dest: str, default: Any = None, required: bool = False, help: str | None = None ) -> None: ... # undocumented class _HelpAction(Action): if sys.version_info >= (3, 13): def __init__( self, option_strings: Sequence[str], dest: str = "==SUPPRESS==", default: str = "==SUPPRESS==", help: str | None = None, deprecated: bool = False, ) -> None: ... else: def __init__( self, option_strings: Sequence[str], dest: str = "==SUPPRESS==", default: str = "==SUPPRESS==", help: str | None = None, ) -> None: ... # undocumented class _VersionAction(Action): version: str | None if sys.version_info >= (3, 13): def __init__( self, option_strings: Sequence[str], version: str | None = None, dest: str = "==SUPPRESS==", default: str = "==SUPPRESS==", help: str | None = None, deprecated: bool = False, ) -> None: ... elif sys.version_info >= (3, 11): def __init__( self, option_strings: Sequence[str], version: str | None = None, dest: str = "==SUPPRESS==", default: str = "==SUPPRESS==", help: str | None = None, ) -> None: ... else: def __init__( self, option_strings: Sequence[str], version: str | None = None, dest: str = "==SUPPRESS==", default: str = "==SUPPRESS==", help: str = "show program's version number and exit", ) -> None: ... # undocumented class _SubParsersAction(Action, Generic[_ArgumentParserT]): _ChoicesPseudoAction: type[Any] # nested class _prog_prefix: str _parser_class: type[_ArgumentParserT] _name_parser_map: dict[str, _ArgumentParserT] choices: dict[str, _ArgumentParserT] _choices_actions: list[Action] def __init__( self, option_strings: Sequence[str], prog: str, parser_class: type[_ArgumentParserT], dest: str = "==SUPPRESS==", required: bool = False, help: str | None = None, metavar: str | tuple[str, ...] | None = None, ) -> None: ... # Note: `add_parser` accepts all kwargs of `ArgumentParser.__init__`. It also # accepts its own `help` and `aliases` kwargs. if sys.version_info >= (3, 14): def add_parser( self, name: str, *, deprecated: bool = False, help: str | None = ..., aliases: Sequence[str] = ..., # Kwargs from ArgumentParser constructor prog: str | None = ..., usage: str | None = ..., description: str | None = ..., epilog: str | None = ..., parents: Sequence[_ArgumentParserT] = ..., formatter_class: _FormatterClass = ..., prefix_chars: str = ..., fromfile_prefix_chars: str | None = ..., argument_default: Any = ..., conflict_handler: str = ..., add_help: bool = True, allow_abbrev: bool = True, exit_on_error: bool = True, suggest_on_error: bool = False, color: bool = False, **kwargs: Any, # Accepting any additional kwargs for custom parser classes ) -> _ArgumentParserT: ... elif sys.version_info >= (3, 13): def add_parser( self, name: str, *, deprecated: bool = False, help: str | None = ..., aliases: Sequence[str] = ..., # Kwargs from ArgumentParser constructor prog: str | None = ..., usage: str | None = ..., description: str | None = ..., epilog: str | None = ..., parents: Sequence[_ArgumentParserT] = ..., formatter_class: _FormatterClass = ..., prefix_chars: str = ..., fromfile_prefix_chars: str | None = ..., argument_default: Any = ..., conflict_handler: str = ..., add_help: bool = True, allow_abbrev: bool = True, exit_on_error: bool = True, **kwargs: Any, # Accepting any additional kwargs for custom parser classes ) -> _ArgumentParserT: ... else: def add_parser( self, name: str, *, help: str | None = ..., aliases: Sequence[str] = ..., # Kwargs from ArgumentParser constructor prog: str | None = ..., usage: str | None = ..., description: str | None = ..., epilog: str | None = ..., parents: Sequence[_ArgumentParserT] = ..., formatter_class: _FormatterClass = ..., prefix_chars: str = ..., fromfile_prefix_chars: str | None = ..., argument_default: Any = ..., conflict_handler: str = ..., add_help: bool = True, allow_abbrev: bool = True, exit_on_error: bool = True, **kwargs: Any, # Accepting any additional kwargs for custom parser classes ) -> _ArgumentParserT: ... def _get_subactions(self) -> list[Action]: ... # undocumented class ArgumentTypeError(Exception): ... # undocumented def _get_action_name(argument: Action | None) -> str | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/array.pyi0000644000175100017510000001110315112307767020220 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer, SupportsRead, SupportsWrite from collections.abc import Iterable, MutableSequence from types import GenericAlias from typing import Any, ClassVar, Literal, SupportsIndex, TypeVar, overload from typing_extensions import Self, TypeAlias, deprecated, disjoint_base _IntTypeCode: TypeAlias = Literal["b", "B", "h", "H", "i", "I", "l", "L", "q", "Q"] _FloatTypeCode: TypeAlias = Literal["f", "d"] if sys.version_info >= (3, 13): _UnicodeTypeCode: TypeAlias = Literal["u", "w"] else: _UnicodeTypeCode: TypeAlias = Literal["u"] _TypeCode: TypeAlias = _IntTypeCode | _FloatTypeCode | _UnicodeTypeCode _T = TypeVar("_T", int, float, str) typecodes: str @disjoint_base class array(MutableSequence[_T]): @property def typecode(self) -> _TypeCode: ... @property def itemsize(self) -> int: ... @overload def __new__( cls: type[array[int]], typecode: _IntTypeCode, initializer: bytes | bytearray | Iterable[int] = ..., / ) -> array[int]: ... @overload def __new__( cls: type[array[float]], typecode: _FloatTypeCode, initializer: bytes | bytearray | Iterable[float] = ..., / ) -> array[float]: ... if sys.version_info >= (3, 13): @overload def __new__( cls: type[array[str]], typecode: Literal["w"], initializer: bytes | bytearray | Iterable[str] = ..., / ) -> array[str]: ... @overload @deprecated("Deprecated since Python 3.3; will be removed in Python 3.16. Use 'w' typecode instead.") def __new__( cls: type[array[str]], typecode: Literal["u"], initializer: bytes | bytearray | Iterable[str] = ..., / ) -> array[str]: ... else: @overload @deprecated("Deprecated since Python 3.3; will be removed in Python 3.16.") def __new__( cls: type[array[str]], typecode: Literal["u"], initializer: bytes | bytearray | Iterable[str] = ..., / ) -> array[str]: ... @overload def __new__(cls, typecode: str, initializer: Iterable[_T], /) -> Self: ... @overload def __new__(cls, typecode: str, initializer: bytes | bytearray = ..., /) -> Self: ... def append(self, v: _T, /) -> None: ... def buffer_info(self) -> tuple[int, int]: ... def byteswap(self) -> None: ... def count(self, v: _T, /) -> int: ... def extend(self, bb: Iterable[_T], /) -> None: ... def frombytes(self, buffer: ReadableBuffer, /) -> None: ... def fromfile(self, f: SupportsRead[bytes], n: int, /) -> None: ... def fromlist(self, list: list[_T], /) -> None: ... def fromunicode(self, ustr: str, /) -> None: ... if sys.version_info >= (3, 10): def index(self, v: _T, start: int = 0, stop: int = sys.maxsize, /) -> int: ... else: def index(self, v: _T, /) -> int: ... # type: ignore[override] def insert(self, i: int, v: _T, /) -> None: ... def pop(self, i: int = -1, /) -> _T: ... def remove(self, v: _T, /) -> None: ... def tobytes(self) -> bytes: ... def tofile(self, f: SupportsWrite[bytes], /) -> None: ... def tolist(self) -> list[_T]: ... def tounicode(self) -> str: ... __hash__: ClassVar[None] # type: ignore[assignment] def __contains__(self, value: object, /) -> bool: ... def __len__(self) -> int: ... @overload def __getitem__(self, key: SupportsIndex, /) -> _T: ... @overload def __getitem__(self, key: slice, /) -> array[_T]: ... @overload # type: ignore[override] def __setitem__(self, key: SupportsIndex, value: _T, /) -> None: ... @overload def __setitem__(self, key: slice, value: array[_T], /) -> None: ... def __delitem__(self, key: SupportsIndex | slice, /) -> None: ... def __add__(self, value: array[_T], /) -> array[_T]: ... def __eq__(self, value: object, /) -> bool: ... def __ge__(self, value: array[_T], /) -> bool: ... def __gt__(self, value: array[_T], /) -> bool: ... def __iadd__(self, value: array[_T], /) -> Self: ... # type: ignore[override] def __imul__(self, value: int, /) -> Self: ... def __le__(self, value: array[_T], /) -> bool: ... def __lt__(self, value: array[_T], /) -> bool: ... def __mul__(self, value: int, /) -> array[_T]: ... def __rmul__(self, value: int, /) -> array[_T]: ... def __copy__(self) -> array[_T]: ... def __deepcopy__(self, unused: Any, /) -> array[_T]: ... def __buffer__(self, flags: int, /) -> memoryview: ... def __release_buffer__(self, buffer: memoryview, /) -> None: ... if sys.version_info >= (3, 12): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... ArrayType = array ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ast.pyi0000644000175100017510000023000215112307767017672 0ustar00runnerrunnerimport ast import builtins import os import sys import typing_extensions from _ast import ( PyCF_ALLOW_TOP_LEVEL_AWAIT as PyCF_ALLOW_TOP_LEVEL_AWAIT, PyCF_ONLY_AST as PyCF_ONLY_AST, PyCF_TYPE_COMMENTS as PyCF_TYPE_COMMENTS, ) from _typeshed import ReadableBuffer, Unused from collections.abc import Iterable, Iterator, Sequence from typing import Any, ClassVar, Generic, Literal, TypedDict, TypeVar as _TypeVar, overload, type_check_only from typing_extensions import Self, Unpack, deprecated, disjoint_base if sys.version_info >= (3, 13): from _ast import PyCF_OPTIMIZED_AST as PyCF_OPTIMIZED_AST # Used for node end positions in constructor keyword arguments _EndPositionT = typing_extensions.TypeVar("_EndPositionT", int, int | None, default=int | None) # Corresponds to the names in the `_attributes` class variable which is non-empty in certain AST nodes @type_check_only class _Attributes(TypedDict, Generic[_EndPositionT], total=False): lineno: int col_offset: int end_lineno: _EndPositionT end_col_offset: _EndPositionT # The various AST classes are implemented in C, and imported from _ast at runtime, # but they consider themselves to live in the ast module, # so we'll define the stubs in this file. if sys.version_info >= (3, 12): @disjoint_base class AST: __match_args__ = () _attributes: ClassVar[tuple[str, ...]] _fields: ClassVar[tuple[str, ...]] if sys.version_info >= (3, 13): _field_types: ClassVar[dict[str, Any]] if sys.version_info >= (3, 14): def __replace__(self) -> Self: ... else: class AST: if sys.version_info >= (3, 10): __match_args__ = () _attributes: ClassVar[tuple[str, ...]] _fields: ClassVar[tuple[str, ...]] class mod(AST): ... class Module(mod): if sys.version_info >= (3, 10): __match_args__ = ("body", "type_ignores") body: list[stmt] type_ignores: list[TypeIgnore] if sys.version_info >= (3, 13): def __init__(self, body: list[stmt] = ..., type_ignores: list[TypeIgnore] = ...) -> None: ... else: def __init__(self, body: list[stmt], type_ignores: list[TypeIgnore]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, body: list[stmt] = ..., type_ignores: list[TypeIgnore] = ...) -> Self: ... class Interactive(mod): if sys.version_info >= (3, 10): __match_args__ = ("body",) body: list[stmt] if sys.version_info >= (3, 13): def __init__(self, body: list[stmt] = ...) -> None: ... else: def __init__(self, body: list[stmt]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, body: list[stmt] = ...) -> Self: ... class Expression(mod): if sys.version_info >= (3, 10): __match_args__ = ("body",) body: expr def __init__(self, body: expr) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, body: expr = ...) -> Self: ... class FunctionType(mod): if sys.version_info >= (3, 10): __match_args__ = ("argtypes", "returns") argtypes: list[expr] returns: expr if sys.version_info >= (3, 13): @overload def __init__(self, argtypes: list[expr], returns: expr) -> None: ... @overload def __init__(self, argtypes: list[expr] = ..., *, returns: expr) -> None: ... else: def __init__(self, argtypes: list[expr], returns: expr) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, argtypes: list[expr] = ..., returns: expr = ...) -> Self: ... class stmt(AST): lineno: int col_offset: int end_lineno: int | None end_col_offset: int | None def __init__(self, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, **kwargs: Unpack[_Attributes]) -> Self: ... class FunctionDef(stmt): if sys.version_info >= (3, 12): __match_args__ = ("name", "args", "body", "decorator_list", "returns", "type_comment", "type_params") elif sys.version_info >= (3, 10): __match_args__ = ("name", "args", "body", "decorator_list", "returns", "type_comment") name: str args: arguments body: list[stmt] decorator_list: list[expr] returns: expr | None type_comment: str | None if sys.version_info >= (3, 12): type_params: list[type_param] if sys.version_info >= (3, 13): def __init__( self, name: str, args: arguments, body: list[stmt] = ..., decorator_list: list[expr] = ..., returns: expr | None = None, type_comment: str | None = None, type_params: list[type_param] = ..., **kwargs: Unpack[_Attributes], ) -> None: ... elif sys.version_info >= (3, 12): @overload def __init__( self, name: str, args: arguments, body: list[stmt], decorator_list: list[expr], returns: expr | None, type_comment: str | None, type_params: list[type_param], **kwargs: Unpack[_Attributes], ) -> None: ... @overload def __init__( self, name: str, args: arguments, body: list[stmt], decorator_list: list[expr], returns: expr | None = None, type_comment: str | None = None, *, type_params: list[type_param], **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, name: str, args: arguments, body: list[stmt], decorator_list: list[expr], returns: expr | None = None, type_comment: str | None = None, **kwargs: Unpack[_Attributes], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, name: str = ..., args: arguments = ..., body: list[stmt] = ..., decorator_list: list[expr] = ..., returns: expr | None = ..., type_comment: str | None = ..., type_params: list[type_param] = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class AsyncFunctionDef(stmt): if sys.version_info >= (3, 12): __match_args__ = ("name", "args", "body", "decorator_list", "returns", "type_comment", "type_params") elif sys.version_info >= (3, 10): __match_args__ = ("name", "args", "body", "decorator_list", "returns", "type_comment") name: str args: arguments body: list[stmt] decorator_list: list[expr] returns: expr | None type_comment: str | None if sys.version_info >= (3, 12): type_params: list[type_param] if sys.version_info >= (3, 13): def __init__( self, name: str, args: arguments, body: list[stmt] = ..., decorator_list: list[expr] = ..., returns: expr | None = None, type_comment: str | None = None, type_params: list[type_param] = ..., **kwargs: Unpack[_Attributes], ) -> None: ... elif sys.version_info >= (3, 12): @overload def __init__( self, name: str, args: arguments, body: list[stmt], decorator_list: list[expr], returns: expr | None, type_comment: str | None, type_params: list[type_param], **kwargs: Unpack[_Attributes], ) -> None: ... @overload def __init__( self, name: str, args: arguments, body: list[stmt], decorator_list: list[expr], returns: expr | None = None, type_comment: str | None = None, *, type_params: list[type_param], **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, name: str, args: arguments, body: list[stmt], decorator_list: list[expr], returns: expr | None = None, type_comment: str | None = None, **kwargs: Unpack[_Attributes], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, name: str = ..., args: arguments = ..., body: list[stmt] = ..., decorator_list: list[expr] = ..., returns: expr | None = ..., type_comment: str | None = ..., type_params: list[type_param] = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class ClassDef(stmt): if sys.version_info >= (3, 12): __match_args__ = ("name", "bases", "keywords", "body", "decorator_list", "type_params") elif sys.version_info >= (3, 10): __match_args__ = ("name", "bases", "keywords", "body", "decorator_list") name: str bases: list[expr] keywords: list[keyword] body: list[stmt] decorator_list: list[expr] if sys.version_info >= (3, 12): type_params: list[type_param] if sys.version_info >= (3, 13): def __init__( self, name: str, bases: list[expr] = ..., keywords: list[keyword] = ..., body: list[stmt] = ..., decorator_list: list[expr] = ..., type_params: list[type_param] = ..., **kwargs: Unpack[_Attributes], ) -> None: ... elif sys.version_info >= (3, 12): def __init__( self, name: str, bases: list[expr], keywords: list[keyword], body: list[stmt], decorator_list: list[expr], type_params: list[type_param], **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, name: str, bases: list[expr], keywords: list[keyword], body: list[stmt], decorator_list: list[expr], **kwargs: Unpack[_Attributes], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, name: str = ..., bases: list[expr] = ..., keywords: list[keyword] = ..., body: list[stmt] = ..., decorator_list: list[expr] = ..., type_params: list[type_param] = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class Return(stmt): if sys.version_info >= (3, 10): __match_args__ = ("value",) value: expr | None def __init__(self, value: expr | None = None, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: expr | None = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Delete(stmt): if sys.version_info >= (3, 10): __match_args__ = ("targets",) targets: list[expr] if sys.version_info >= (3, 13): def __init__(self, targets: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, targets: list[expr], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, targets: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Assign(stmt): if sys.version_info >= (3, 10): __match_args__ = ("targets", "value", "type_comment") targets: list[expr] value: expr type_comment: str | None if sys.version_info >= (3, 13): @overload def __init__( self, targets: list[expr], value: expr, type_comment: str | None = None, **kwargs: Unpack[_Attributes] ) -> None: ... @overload def __init__( self, targets: list[expr] = ..., *, value: expr, type_comment: str | None = None, **kwargs: Unpack[_Attributes] ) -> None: ... else: def __init__( self, targets: list[expr], value: expr, type_comment: str | None = None, **kwargs: Unpack[_Attributes] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, targets: list[expr] = ..., value: expr = ..., type_comment: str | None = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... if sys.version_info >= (3, 12): class TypeAlias(stmt): __match_args__ = ("name", "type_params", "value") name: Name type_params: list[type_param] value: expr if sys.version_info >= (3, 13): @overload def __init__( self, name: Name, type_params: list[type_param], value: expr, **kwargs: Unpack[_Attributes[int]] ) -> None: ... @overload def __init__( self, name: Name, type_params: list[type_param] = ..., *, value: expr, **kwargs: Unpack[_Attributes[int]] ) -> None: ... else: def __init__( self, name: Name, type_params: list[type_param], value: expr, **kwargs: Unpack[_Attributes[int]] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( # type: ignore[override] self, *, name: Name = ..., type_params: list[type_param] = ..., value: expr = ..., **kwargs: Unpack[_Attributes[int]], ) -> Self: ... class AugAssign(stmt): if sys.version_info >= (3, 10): __match_args__ = ("target", "op", "value") target: Name | Attribute | Subscript op: operator value: expr def __init__( self, target: Name | Attribute | Subscript, op: operator, value: expr, **kwargs: Unpack[_Attributes] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, target: Name | Attribute | Subscript = ..., op: operator = ..., value: expr = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class AnnAssign(stmt): if sys.version_info >= (3, 10): __match_args__ = ("target", "annotation", "value", "simple") target: Name | Attribute | Subscript annotation: expr value: expr | None simple: int @overload def __init__( self, target: Name | Attribute | Subscript, annotation: expr, value: expr | None, simple: int, **kwargs: Unpack[_Attributes], ) -> None: ... @overload def __init__( self, target: Name | Attribute | Subscript, annotation: expr, value: expr | None = None, *, simple: int, **kwargs: Unpack[_Attributes], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, target: Name | Attribute | Subscript = ..., annotation: expr = ..., value: expr | None = ..., simple: int = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class For(stmt): if sys.version_info >= (3, 10): __match_args__ = ("target", "iter", "body", "orelse", "type_comment") target: expr iter: expr body: list[stmt] orelse: list[stmt] type_comment: str | None if sys.version_info >= (3, 13): def __init__( self, target: expr, iter: expr, body: list[stmt] = ..., orelse: list[stmt] = ..., type_comment: str | None = None, **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, target: expr, iter: expr, body: list[stmt], orelse: list[stmt], type_comment: str | None = None, **kwargs: Unpack[_Attributes], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, target: expr = ..., iter: expr = ..., body: list[stmt] = ..., orelse: list[stmt] = ..., type_comment: str | None = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class AsyncFor(stmt): if sys.version_info >= (3, 10): __match_args__ = ("target", "iter", "body", "orelse", "type_comment") target: expr iter: expr body: list[stmt] orelse: list[stmt] type_comment: str | None if sys.version_info >= (3, 13): def __init__( self, target: expr, iter: expr, body: list[stmt] = ..., orelse: list[stmt] = ..., type_comment: str | None = None, **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, target: expr, iter: expr, body: list[stmt], orelse: list[stmt], type_comment: str | None = None, **kwargs: Unpack[_Attributes], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, target: expr = ..., iter: expr = ..., body: list[stmt] = ..., orelse: list[stmt] = ..., type_comment: str | None = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class While(stmt): if sys.version_info >= (3, 10): __match_args__ = ("test", "body", "orelse") test: expr body: list[stmt] orelse: list[stmt] if sys.version_info >= (3, 13): def __init__( self, test: expr, body: list[stmt] = ..., orelse: list[stmt] = ..., **kwargs: Unpack[_Attributes] ) -> None: ... else: def __init__(self, test: expr, body: list[stmt], orelse: list[stmt], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, test: expr = ..., body: list[stmt] = ..., orelse: list[stmt] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class If(stmt): if sys.version_info >= (3, 10): __match_args__ = ("test", "body", "orelse") test: expr body: list[stmt] orelse: list[stmt] if sys.version_info >= (3, 13): def __init__( self, test: expr, body: list[stmt] = ..., orelse: list[stmt] = ..., **kwargs: Unpack[_Attributes] ) -> None: ... else: def __init__(self, test: expr, body: list[stmt], orelse: list[stmt], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, test: expr = ..., body: list[stmt] = ..., orelse: list[stmt] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class With(stmt): if sys.version_info >= (3, 10): __match_args__ = ("items", "body", "type_comment") items: list[withitem] body: list[stmt] type_comment: str | None if sys.version_info >= (3, 13): def __init__( self, items: list[withitem] = ..., body: list[stmt] = ..., type_comment: str | None = None, **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, items: list[withitem], body: list[stmt], type_comment: str | None = None, **kwargs: Unpack[_Attributes] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, items: list[withitem] = ..., body: list[stmt] = ..., type_comment: str | None = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class AsyncWith(stmt): if sys.version_info >= (3, 10): __match_args__ = ("items", "body", "type_comment") items: list[withitem] body: list[stmt] type_comment: str | None if sys.version_info >= (3, 13): def __init__( self, items: list[withitem] = ..., body: list[stmt] = ..., type_comment: str | None = None, **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, items: list[withitem], body: list[stmt], type_comment: str | None = None, **kwargs: Unpack[_Attributes] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, items: list[withitem] = ..., body: list[stmt] = ..., type_comment: str | None = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class Raise(stmt): if sys.version_info >= (3, 10): __match_args__ = ("exc", "cause") exc: expr | None cause: expr | None def __init__(self, exc: expr | None = None, cause: expr | None = None, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, exc: expr | None = ..., cause: expr | None = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Try(stmt): if sys.version_info >= (3, 10): __match_args__ = ("body", "handlers", "orelse", "finalbody") body: list[stmt] handlers: list[ExceptHandler] orelse: list[stmt] finalbody: list[stmt] if sys.version_info >= (3, 13): def __init__( self, body: list[stmt] = ..., handlers: list[ExceptHandler] = ..., orelse: list[stmt] = ..., finalbody: list[stmt] = ..., **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, body: list[stmt], handlers: list[ExceptHandler], orelse: list[stmt], finalbody: list[stmt], **kwargs: Unpack[_Attributes], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, body: list[stmt] = ..., handlers: list[ExceptHandler] = ..., orelse: list[stmt] = ..., finalbody: list[stmt] = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... if sys.version_info >= (3, 11): class TryStar(stmt): __match_args__ = ("body", "handlers", "orelse", "finalbody") body: list[stmt] handlers: list[ExceptHandler] orelse: list[stmt] finalbody: list[stmt] if sys.version_info >= (3, 13): def __init__( self, body: list[stmt] = ..., handlers: list[ExceptHandler] = ..., orelse: list[stmt] = ..., finalbody: list[stmt] = ..., **kwargs: Unpack[_Attributes], ) -> None: ... else: def __init__( self, body: list[stmt], handlers: list[ExceptHandler], orelse: list[stmt], finalbody: list[stmt], **kwargs: Unpack[_Attributes], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, body: list[stmt] = ..., handlers: list[ExceptHandler] = ..., orelse: list[stmt] = ..., finalbody: list[stmt] = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... class Assert(stmt): if sys.version_info >= (3, 10): __match_args__ = ("test", "msg") test: expr msg: expr | None def __init__(self, test: expr, msg: expr | None = None, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, test: expr = ..., msg: expr | None = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Import(stmt): if sys.version_info >= (3, 10): __match_args__ = ("names",) names: list[alias] if sys.version_info >= (3, 13): def __init__(self, names: list[alias] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, names: list[alias], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, names: list[alias] = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class ImportFrom(stmt): if sys.version_info >= (3, 10): __match_args__ = ("module", "names", "level") module: str | None names: list[alias] level: int if sys.version_info >= (3, 13): @overload def __init__(self, module: str | None, names: list[alias], level: int, **kwargs: Unpack[_Attributes]) -> None: ... @overload def __init__( self, module: str | None = None, names: list[alias] = ..., *, level: int, **kwargs: Unpack[_Attributes] ) -> None: ... else: @overload def __init__(self, module: str | None, names: list[alias], level: int, **kwargs: Unpack[_Attributes]) -> None: ... @overload def __init__( self, module: str | None = None, *, names: list[alias], level: int, **kwargs: Unpack[_Attributes] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, module: str | None = ..., names: list[alias] = ..., level: int = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class Global(stmt): if sys.version_info >= (3, 10): __match_args__ = ("names",) names: list[str] if sys.version_info >= (3, 13): def __init__(self, names: list[str] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, names: list[str], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, names: list[str] = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Nonlocal(stmt): if sys.version_info >= (3, 10): __match_args__ = ("names",) names: list[str] if sys.version_info >= (3, 13): def __init__(self, names: list[str] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, names: list[str], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, names: list[str] = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Expr(stmt): if sys.version_info >= (3, 10): __match_args__ = ("value",) value: expr def __init__(self, value: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: expr = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Pass(stmt): ... class Break(stmt): ... class Continue(stmt): ... class expr(AST): lineno: int col_offset: int end_lineno: int | None end_col_offset: int | None def __init__(self, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, **kwargs: Unpack[_Attributes]) -> Self: ... class BoolOp(expr): if sys.version_info >= (3, 10): __match_args__ = ("op", "values") op: boolop values: list[expr] if sys.version_info >= (3, 13): def __init__(self, op: boolop, values: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, op: boolop, values: list[expr], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, op: boolop = ..., values: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class NamedExpr(expr): if sys.version_info >= (3, 10): __match_args__ = ("target", "value") target: Name value: expr def __init__(self, target: Name, value: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, target: Name = ..., value: expr = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class BinOp(expr): if sys.version_info >= (3, 10): __match_args__ = ("left", "op", "right") left: expr op: operator right: expr def __init__(self, left: expr, op: operator, right: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, left: expr = ..., op: operator = ..., right: expr = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class UnaryOp(expr): if sys.version_info >= (3, 10): __match_args__ = ("op", "operand") op: unaryop operand: expr def __init__(self, op: unaryop, operand: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, op: unaryop = ..., operand: expr = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Lambda(expr): if sys.version_info >= (3, 10): __match_args__ = ("args", "body") args: arguments body: expr def __init__(self, args: arguments, body: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, args: arguments = ..., body: expr = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class IfExp(expr): if sys.version_info >= (3, 10): __match_args__ = ("test", "body", "orelse") test: expr body: expr orelse: expr def __init__(self, test: expr, body: expr, orelse: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, test: expr = ..., body: expr = ..., orelse: expr = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class Dict(expr): if sys.version_info >= (3, 10): __match_args__ = ("keys", "values") keys: list[expr | None] values: list[expr] if sys.version_info >= (3, 13): def __init__(self, keys: list[expr | None] = ..., values: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, keys: list[expr | None], values: list[expr], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, keys: list[expr | None] = ..., values: list[expr] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class Set(expr): if sys.version_info >= (3, 10): __match_args__ = ("elts",) elts: list[expr] if sys.version_info >= (3, 13): def __init__(self, elts: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, elts: list[expr], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, elts: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class ListComp(expr): if sys.version_info >= (3, 10): __match_args__ = ("elt", "generators") elt: expr generators: list[comprehension] if sys.version_info >= (3, 13): def __init__(self, elt: expr, generators: list[comprehension] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, elt: expr, generators: list[comprehension], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, elt: expr = ..., generators: list[comprehension] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class SetComp(expr): if sys.version_info >= (3, 10): __match_args__ = ("elt", "generators") elt: expr generators: list[comprehension] if sys.version_info >= (3, 13): def __init__(self, elt: expr, generators: list[comprehension] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, elt: expr, generators: list[comprehension], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, elt: expr = ..., generators: list[comprehension] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class DictComp(expr): if sys.version_info >= (3, 10): __match_args__ = ("key", "value", "generators") key: expr value: expr generators: list[comprehension] if sys.version_info >= (3, 13): def __init__( self, key: expr, value: expr, generators: list[comprehension] = ..., **kwargs: Unpack[_Attributes] ) -> None: ... else: def __init__(self, key: expr, value: expr, generators: list[comprehension], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, key: expr = ..., value: expr = ..., generators: list[comprehension] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class GeneratorExp(expr): if sys.version_info >= (3, 10): __match_args__ = ("elt", "generators") elt: expr generators: list[comprehension] if sys.version_info >= (3, 13): def __init__(self, elt: expr, generators: list[comprehension] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, elt: expr, generators: list[comprehension], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, elt: expr = ..., generators: list[comprehension] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class Await(expr): if sys.version_info >= (3, 10): __match_args__ = ("value",) value: expr def __init__(self, value: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: expr = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Yield(expr): if sys.version_info >= (3, 10): __match_args__ = ("value",) value: expr | None def __init__(self, value: expr | None = None, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: expr | None = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class YieldFrom(expr): if sys.version_info >= (3, 10): __match_args__ = ("value",) value: expr def __init__(self, value: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: expr = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Compare(expr): if sys.version_info >= (3, 10): __match_args__ = ("left", "ops", "comparators") left: expr ops: list[cmpop] comparators: list[expr] if sys.version_info >= (3, 13): def __init__( self, left: expr, ops: list[cmpop] = ..., comparators: list[expr] = ..., **kwargs: Unpack[_Attributes] ) -> None: ... else: def __init__(self, left: expr, ops: list[cmpop], comparators: list[expr], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, left: expr = ..., ops: list[cmpop] = ..., comparators: list[expr] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class Call(expr): if sys.version_info >= (3, 10): __match_args__ = ("func", "args", "keywords") func: expr args: list[expr] keywords: list[keyword] if sys.version_info >= (3, 13): def __init__( self, func: expr, args: list[expr] = ..., keywords: list[keyword] = ..., **kwargs: Unpack[_Attributes] ) -> None: ... else: def __init__(self, func: expr, args: list[expr], keywords: list[keyword], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, func: expr = ..., args: list[expr] = ..., keywords: list[keyword] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class FormattedValue(expr): if sys.version_info >= (3, 10): __match_args__ = ("value", "conversion", "format_spec") value: expr conversion: int format_spec: expr | None def __init__(self, value: expr, conversion: int, format_spec: expr | None = None, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, value: expr = ..., conversion: int = ..., format_spec: expr | None = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class JoinedStr(expr): if sys.version_info >= (3, 10): __match_args__ = ("values",) values: list[expr] if sys.version_info >= (3, 13): def __init__(self, values: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, values: list[expr], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, values: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> Self: ... if sys.version_info >= (3, 14): class TemplateStr(expr): __match_args__ = ("values",) values: list[expr] def __init__(self, values: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> None: ... def __replace__(self, *, values: list[expr] = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Interpolation(expr): __match_args__ = ("value", "str", "conversion", "format_spec") value: expr str: builtins.str conversion: int format_spec: expr | None = None def __init__( self, value: expr = ..., str: builtins.str = ..., conversion: int = ..., format_spec: expr | None = ..., **kwargs: Unpack[_Attributes], ) -> None: ... def __replace__( self, *, value: expr = ..., str: builtins.str = ..., conversion: int = ..., format_spec: expr | None = ..., **kwargs: Unpack[_Attributes], ) -> Self: ... if sys.version_info >= (3, 10): from types import EllipsisType _ConstantValue: typing_extensions.TypeAlias = str | bytes | bool | int | float | complex | None | EllipsisType else: # Rely on builtins.ellipsis _ConstantValue: typing_extensions.TypeAlias = str | bytes | bool | int | float | complex | None | ellipsis # noqa: F821 class Constant(expr): if sys.version_info >= (3, 10): __match_args__ = ("value", "kind") value: _ConstantValue kind: str | None if sys.version_info < (3, 14): # Aliases for value, for backwards compatibility @property @deprecated("Removed in Python 3.14. Use `value` instead.") def n(self) -> _ConstantValue: ... @n.setter @deprecated("Removed in Python 3.14. Use `value` instead.") def n(self, value: _ConstantValue) -> None: ... @property @deprecated("Removed in Python 3.14. Use `value` instead.") def s(self) -> _ConstantValue: ... @s.setter @deprecated("Removed in Python 3.14. Use `value` instead.") def s(self, value: _ConstantValue) -> None: ... def __init__(self, value: _ConstantValue, kind: str | None = None, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: _ConstantValue = ..., kind: str | None = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Attribute(expr): if sys.version_info >= (3, 10): __match_args__ = ("value", "attr", "ctx") value: expr attr: str ctx: expr_context # Not present in Python < 3.13 if not passed to `__init__` def __init__(self, value: expr, attr: str, ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, value: expr = ..., attr: str = ..., ctx: expr_context = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class Subscript(expr): if sys.version_info >= (3, 10): __match_args__ = ("value", "slice", "ctx") value: expr slice: expr ctx: expr_context # Not present in Python < 3.13 if not passed to `__init__` def __init__(self, value: expr, slice: expr, ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, value: expr = ..., slice: expr = ..., ctx: expr_context = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class Starred(expr): if sys.version_info >= (3, 10): __match_args__ = ("value", "ctx") value: expr ctx: expr_context # Not present in Python < 3.13 if not passed to `__init__` def __init__(self, value: expr, ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: expr = ..., ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Name(expr): if sys.version_info >= (3, 10): __match_args__ = ("id", "ctx") id: str ctx: expr_context # Not present in Python < 3.13 if not passed to `__init__` def __init__(self, id: str, ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, id: str = ..., ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class List(expr): if sys.version_info >= (3, 10): __match_args__ = ("elts", "ctx") elts: list[expr] ctx: expr_context # Not present in Python < 3.13 if not passed to `__init__` if sys.version_info >= (3, 13): def __init__(self, elts: list[expr] = ..., ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, elts: list[expr], ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, elts: list[expr] = ..., ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class Tuple(expr): if sys.version_info >= (3, 10): __match_args__ = ("elts", "ctx") elts: list[expr] ctx: expr_context # Not present in Python < 3.13 if not passed to `__init__` dims: list[expr] if sys.version_info >= (3, 13): def __init__(self, elts: list[expr] = ..., ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, elts: list[expr], ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, elts: list[expr] = ..., ctx: expr_context = ..., **kwargs: Unpack[_Attributes]) -> Self: ... @deprecated("Deprecated since Python 3.9.") class slice(AST): ... class Slice(expr): if sys.version_info >= (3, 10): __match_args__ = ("lower", "upper", "step") lower: expr | None upper: expr | None step: expr | None def __init__( self, lower: expr | None = None, upper: expr | None = None, step: expr | None = None, **kwargs: Unpack[_Attributes] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, lower: expr | None = ..., upper: expr | None = ..., step: expr | None = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... @deprecated("Deprecated since Python 3.9. Use `ast.Tuple` instead.") class ExtSlice(slice): def __new__(cls, dims: Iterable[slice] = (), **kwargs: Unpack[_Attributes]) -> Tuple: ... # type: ignore[misc] @deprecated("Deprecated since Python 3.9. Use the index value directly instead.") class Index(slice): def __new__(cls, value: expr, **kwargs: Unpack[_Attributes]) -> expr: ... # type: ignore[misc] class expr_context(AST): ... @deprecated("Deprecated since Python 3.9. Unused in Python 3.") class AugLoad(expr_context): ... @deprecated("Deprecated since Python 3.9. Unused in Python 3.") class AugStore(expr_context): ... @deprecated("Deprecated since Python 3.9. Unused in Python 3.") class Param(expr_context): ... @deprecated("Deprecated since Python 3.9. Unused in Python 3.") class Suite(mod): ... class Load(expr_context): ... class Store(expr_context): ... class Del(expr_context): ... class boolop(AST): ... class And(boolop): ... class Or(boolop): ... class operator(AST): ... class Add(operator): ... class Sub(operator): ... class Mult(operator): ... class MatMult(operator): ... class Div(operator): ... class Mod(operator): ... class Pow(operator): ... class LShift(operator): ... class RShift(operator): ... class BitOr(operator): ... class BitXor(operator): ... class BitAnd(operator): ... class FloorDiv(operator): ... class unaryop(AST): ... class Invert(unaryop): ... class Not(unaryop): ... class UAdd(unaryop): ... class USub(unaryop): ... class cmpop(AST): ... class Eq(cmpop): ... class NotEq(cmpop): ... class Lt(cmpop): ... class LtE(cmpop): ... class Gt(cmpop): ... class GtE(cmpop): ... class Is(cmpop): ... class IsNot(cmpop): ... class In(cmpop): ... class NotIn(cmpop): ... class comprehension(AST): if sys.version_info >= (3, 10): __match_args__ = ("target", "iter", "ifs", "is_async") target: expr iter: expr ifs: list[expr] is_async: int if sys.version_info >= (3, 13): @overload def __init__(self, target: expr, iter: expr, ifs: list[expr], is_async: int) -> None: ... @overload def __init__(self, target: expr, iter: expr, ifs: list[expr] = ..., *, is_async: int) -> None: ... else: def __init__(self, target: expr, iter: expr, ifs: list[expr], is_async: int) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, target: expr = ..., iter: expr = ..., ifs: list[expr] = ..., is_async: int = ...) -> Self: ... class excepthandler(AST): lineno: int col_offset: int end_lineno: int | None end_col_offset: int | None def __init__(self, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, lineno: int = ..., col_offset: int = ..., end_lineno: int | None = ..., end_col_offset: int | None = ... ) -> Self: ... class ExceptHandler(excepthandler): if sys.version_info >= (3, 10): __match_args__ = ("type", "name", "body") type: expr | None name: str | None body: list[stmt] if sys.version_info >= (3, 13): def __init__( self, type: expr | None = None, name: str | None = None, body: list[stmt] = ..., **kwargs: Unpack[_Attributes] ) -> None: ... else: @overload def __init__(self, type: expr | None, name: str | None, body: list[stmt], **kwargs: Unpack[_Attributes]) -> None: ... @overload def __init__( self, type: expr | None = None, name: str | None = None, *, body: list[stmt], **kwargs: Unpack[_Attributes] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, type: expr | None = ..., name: str | None = ..., body: list[stmt] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class arguments(AST): if sys.version_info >= (3, 10): __match_args__ = ("posonlyargs", "args", "vararg", "kwonlyargs", "kw_defaults", "kwarg", "defaults") posonlyargs: list[arg] args: list[arg] vararg: arg | None kwonlyargs: list[arg] kw_defaults: list[expr | None] kwarg: arg | None defaults: list[expr] if sys.version_info >= (3, 13): def __init__( self, posonlyargs: list[arg] = ..., args: list[arg] = ..., vararg: arg | None = None, kwonlyargs: list[arg] = ..., kw_defaults: list[expr | None] = ..., kwarg: arg | None = None, defaults: list[expr] = ..., ) -> None: ... else: @overload def __init__( self, posonlyargs: list[arg], args: list[arg], vararg: arg | None, kwonlyargs: list[arg], kw_defaults: list[expr | None], kwarg: arg | None, defaults: list[expr], ) -> None: ... @overload def __init__( self, posonlyargs: list[arg], args: list[arg], vararg: arg | None, kwonlyargs: list[arg], kw_defaults: list[expr | None], kwarg: arg | None = None, *, defaults: list[expr], ) -> None: ... @overload def __init__( self, posonlyargs: list[arg], args: list[arg], vararg: arg | None = None, *, kwonlyargs: list[arg], kw_defaults: list[expr | None], kwarg: arg | None = None, defaults: list[expr], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, posonlyargs: list[arg] = ..., args: list[arg] = ..., vararg: arg | None = ..., kwonlyargs: list[arg] = ..., kw_defaults: list[expr | None] = ..., kwarg: arg | None = ..., defaults: list[expr] = ..., ) -> Self: ... class arg(AST): lineno: int col_offset: int end_lineno: int | None end_col_offset: int | None if sys.version_info >= (3, 10): __match_args__ = ("arg", "annotation", "type_comment") arg: str annotation: expr | None type_comment: str | None def __init__( self, arg: str, annotation: expr | None = None, type_comment: str | None = None, **kwargs: Unpack[_Attributes] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, arg: str = ..., annotation: expr | None = ..., type_comment: str | None = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class keyword(AST): lineno: int col_offset: int end_lineno: int | None end_col_offset: int | None if sys.version_info >= (3, 10): __match_args__ = ("arg", "value") arg: str | None value: expr @overload def __init__(self, arg: str | None, value: expr, **kwargs: Unpack[_Attributes]) -> None: ... @overload def __init__(self, arg: str | None = None, *, value: expr, **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, arg: str | None = ..., value: expr = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class alias(AST): name: str asname: str | None if sys.version_info >= (3, 10): lineno: int col_offset: int end_lineno: int | None end_col_offset: int | None if sys.version_info >= (3, 10): __match_args__ = ("name", "asname") if sys.version_info >= (3, 10): def __init__(self, name: str, asname: str | None = None, **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, name: str, asname: str | None = None) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, name: str = ..., asname: str | None = ..., **kwargs: Unpack[_Attributes]) -> Self: ... class withitem(AST): if sys.version_info >= (3, 10): __match_args__ = ("context_expr", "optional_vars") context_expr: expr optional_vars: expr | None def __init__(self, context_expr: expr, optional_vars: expr | None = None) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, context_expr: expr = ..., optional_vars: expr | None = ...) -> Self: ... if sys.version_info >= (3, 10): class pattern(AST): lineno: int col_offset: int end_lineno: int end_col_offset: int def __init__(self, **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, lineno: int = ..., col_offset: int = ..., end_lineno: int = ..., end_col_offset: int = ... ) -> Self: ... class match_case(AST): __match_args__ = ("pattern", "guard", "body") pattern: ast.pattern guard: expr | None body: list[stmt] if sys.version_info >= (3, 13): def __init__(self, pattern: ast.pattern, guard: expr | None = None, body: list[stmt] = ...) -> None: ... elif sys.version_info >= (3, 10): @overload def __init__(self, pattern: ast.pattern, guard: expr | None, body: list[stmt]) -> None: ... @overload def __init__(self, pattern: ast.pattern, guard: expr | None = None, *, body: list[stmt]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, pattern: ast.pattern = ..., guard: expr | None = ..., body: list[stmt] = ...) -> Self: ... class Match(stmt): __match_args__ = ("subject", "cases") subject: expr cases: list[match_case] if sys.version_info >= (3, 13): def __init__(self, subject: expr, cases: list[match_case] = ..., **kwargs: Unpack[_Attributes]) -> None: ... else: def __init__(self, subject: expr, cases: list[match_case], **kwargs: Unpack[_Attributes]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, subject: expr = ..., cases: list[match_case] = ..., **kwargs: Unpack[_Attributes] ) -> Self: ... class MatchValue(pattern): __match_args__ = ("value",) value: expr def __init__(self, value: expr, **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: expr = ..., **kwargs: Unpack[_Attributes[int]]) -> Self: ... class MatchSingleton(pattern): __match_args__ = ("value",) value: bool | None def __init__(self, value: bool | None, **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, value: bool | None = ..., **kwargs: Unpack[_Attributes[int]]) -> Self: ... class MatchSequence(pattern): __match_args__ = ("patterns",) patterns: list[pattern] if sys.version_info >= (3, 13): def __init__(self, patterns: list[pattern] = ..., **kwargs: Unpack[_Attributes[int]]) -> None: ... else: def __init__(self, patterns: list[pattern], **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, patterns: list[pattern] = ..., **kwargs: Unpack[_Attributes[int]]) -> Self: ... class MatchMapping(pattern): __match_args__ = ("keys", "patterns", "rest") keys: list[expr] patterns: list[pattern] rest: str | None if sys.version_info >= (3, 13): def __init__( self, keys: list[expr] = ..., patterns: list[pattern] = ..., rest: str | None = None, **kwargs: Unpack[_Attributes[int]], ) -> None: ... else: def __init__( self, keys: list[expr], patterns: list[pattern], rest: str | None = None, **kwargs: Unpack[_Attributes[int]] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, keys: list[expr] = ..., patterns: list[pattern] = ..., rest: str | None = ..., **kwargs: Unpack[_Attributes[int]], ) -> Self: ... class MatchClass(pattern): __match_args__ = ("cls", "patterns", "kwd_attrs", "kwd_patterns") cls: expr patterns: list[pattern] kwd_attrs: list[str] kwd_patterns: list[pattern] if sys.version_info >= (3, 13): def __init__( self, cls: expr, patterns: list[pattern] = ..., kwd_attrs: list[str] = ..., kwd_patterns: list[pattern] = ..., **kwargs: Unpack[_Attributes[int]], ) -> None: ... else: def __init__( self, cls: expr, patterns: list[pattern], kwd_attrs: list[str], kwd_patterns: list[pattern], **kwargs: Unpack[_Attributes[int]], ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, cls: expr = ..., patterns: list[pattern] = ..., kwd_attrs: list[str] = ..., kwd_patterns: list[pattern] = ..., **kwargs: Unpack[_Attributes[int]], ) -> Self: ... class MatchStar(pattern): __match_args__ = ("name",) name: str | None def __init__(self, name: str | None = None, **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, name: str | None = ..., **kwargs: Unpack[_Attributes[int]]) -> Self: ... class MatchAs(pattern): __match_args__ = ("pattern", "name") pattern: ast.pattern | None name: str | None def __init__( self, pattern: ast.pattern | None = None, name: str | None = None, **kwargs: Unpack[_Attributes[int]] ) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, pattern: ast.pattern | None = ..., name: str | None = ..., **kwargs: Unpack[_Attributes[int]] ) -> Self: ... class MatchOr(pattern): __match_args__ = ("patterns",) patterns: list[pattern] if sys.version_info >= (3, 13): def __init__(self, patterns: list[pattern] = ..., **kwargs: Unpack[_Attributes[int]]) -> None: ... else: def __init__(self, patterns: list[pattern], **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, patterns: list[pattern] = ..., **kwargs: Unpack[_Attributes[int]]) -> Self: ... class type_ignore(AST): ... class TypeIgnore(type_ignore): if sys.version_info >= (3, 10): __match_args__ = ("lineno", "tag") lineno: int tag: str def __init__(self, lineno: int, tag: str) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, *, lineno: int = ..., tag: str = ...) -> Self: ... if sys.version_info >= (3, 12): class type_param(AST): lineno: int col_offset: int end_lineno: int end_col_offset: int def __init__(self, **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__(self, **kwargs: Unpack[_Attributes[int]]) -> Self: ... class TypeVar(type_param): if sys.version_info >= (3, 13): __match_args__ = ("name", "bound", "default_value") else: __match_args__ = ("name", "bound") name: str bound: expr | None if sys.version_info >= (3, 13): default_value: expr | None def __init__( self, name: str, bound: expr | None = None, default_value: expr | None = None, **kwargs: Unpack[_Attributes[int]] ) -> None: ... else: def __init__(self, name: str, bound: expr | None = None, **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, name: str = ..., bound: expr | None = ..., default_value: expr | None = ..., **kwargs: Unpack[_Attributes[int]], ) -> Self: ... class ParamSpec(type_param): if sys.version_info >= (3, 13): __match_args__ = ("name", "default_value") else: __match_args__ = ("name",) name: str if sys.version_info >= (3, 13): default_value: expr | None def __init__(self, name: str, default_value: expr | None = None, **kwargs: Unpack[_Attributes[int]]) -> None: ... else: def __init__(self, name: str, **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, name: str = ..., default_value: expr | None = ..., **kwargs: Unpack[_Attributes[int]] ) -> Self: ... class TypeVarTuple(type_param): if sys.version_info >= (3, 13): __match_args__ = ("name", "default_value") else: __match_args__ = ("name",) name: str if sys.version_info >= (3, 13): default_value: expr | None def __init__(self, name: str, default_value: expr | None = None, **kwargs: Unpack[_Attributes[int]]) -> None: ... else: def __init__(self, name: str, **kwargs: Unpack[_Attributes[int]]) -> None: ... if sys.version_info >= (3, 14): def __replace__( self, *, name: str = ..., default_value: expr | None = ..., **kwargs: Unpack[_Attributes[int]] ) -> Self: ... if sys.version_info >= (3, 14): @type_check_only class _ABC(type): def __init__(cls, *args: Unused) -> None: ... else: class _ABC(type): def __init__(cls, *args: Unused) -> None: ... if sys.version_info < (3, 14): @deprecated("Removed in Python 3.14. Use `ast.Constant` instead.") class Num(Constant, metaclass=_ABC): def __new__(cls, n: complex, **kwargs: Unpack[_Attributes]) -> Constant: ... # type: ignore[misc] # pyright: ignore[reportInconsistentConstructor] @deprecated("Removed in Python 3.14. Use `ast.Constant` instead.") class Str(Constant, metaclass=_ABC): def __new__(cls, s: str, **kwargs: Unpack[_Attributes]) -> Constant: ... # type: ignore[misc] # pyright: ignore[reportInconsistentConstructor] @deprecated("Removed in Python 3.14. Use `ast.Constant` instead.") class Bytes(Constant, metaclass=_ABC): def __new__(cls, s: bytes, **kwargs: Unpack[_Attributes]) -> Constant: ... # type: ignore[misc] # pyright: ignore[reportInconsistentConstructor] @deprecated("Removed in Python 3.14. Use `ast.Constant` instead.") class NameConstant(Constant, metaclass=_ABC): def __new__(cls, value: _ConstantValue, kind: str | None, **kwargs: Unpack[_Attributes]) -> Constant: ... # type: ignore[misc] # pyright: ignore[reportInconsistentConstructor] @deprecated("Removed in Python 3.14. Use `ast.Constant` instead.") class Ellipsis(Constant, metaclass=_ABC): def __new__(cls, **kwargs: Unpack[_Attributes]) -> Constant: ... # type: ignore[misc] # pyright: ignore[reportInconsistentConstructor] # everything below here is defined in ast.py _T = _TypeVar("_T", bound=AST) if sys.version_info >= (3, 13): @overload def parse( source: _T, filename: str | bytes | os.PathLike[Any] = "", mode: Literal["exec", "eval", "func_type", "single"] = "exec", *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> _T: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any] = "", mode: Literal["exec"] = "exec", *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> Module: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any], mode: Literal["eval"], *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> Expression: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any], mode: Literal["func_type"], *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> FunctionType: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any], mode: Literal["single"], *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> Interactive: ... @overload def parse( source: str | ReadableBuffer, *, mode: Literal["eval"], type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> Expression: ... @overload def parse( source: str | ReadableBuffer, *, mode: Literal["func_type"], type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> FunctionType: ... @overload def parse( source: str | ReadableBuffer, *, mode: Literal["single"], type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> Interactive: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any] = "", mode: str = "exec", *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, optimize: Literal[-1, 0, 1, 2] = -1, ) -> mod: ... else: @overload def parse( source: _T, filename: str | bytes | os.PathLike[Any] = "", mode: Literal["exec", "eval", "func_type", "single"] = "exec", *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> _T: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any] = "", mode: Literal["exec"] = "exec", *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> Module: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any], mode: Literal["eval"], *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> Expression: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any], mode: Literal["func_type"], *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> FunctionType: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any], mode: Literal["single"], *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> Interactive: ... @overload def parse( source: str | ReadableBuffer, *, mode: Literal["eval"], type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> Expression: ... @overload def parse( source: str | ReadableBuffer, *, mode: Literal["func_type"], type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> FunctionType: ... @overload def parse( source: str | ReadableBuffer, *, mode: Literal["single"], type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> Interactive: ... @overload def parse( source: str | ReadableBuffer, filename: str | bytes | os.PathLike[Any] = "", mode: str = "exec", *, type_comments: bool = False, feature_version: None | int | tuple[int, int] = None, ) -> mod: ... def literal_eval(node_or_string: str | AST) -> Any: ... if sys.version_info >= (3, 13): def dump( node: AST, annotate_fields: bool = True, include_attributes: bool = False, *, indent: int | str | None = None, show_empty: bool = False, ) -> str: ... else: def dump( node: AST, annotate_fields: bool = True, include_attributes: bool = False, *, indent: int | str | None = None ) -> str: ... def copy_location(new_node: _T, old_node: AST) -> _T: ... def fix_missing_locations(node: _T) -> _T: ... def increment_lineno(node: _T, n: int = 1) -> _T: ... def iter_fields(node: AST) -> Iterator[tuple[str, Any]]: ... def iter_child_nodes(node: AST) -> Iterator[AST]: ... def get_docstring(node: AsyncFunctionDef | FunctionDef | ClassDef | Module, clean: bool = True) -> str | None: ... def get_source_segment(source: str, node: AST, *, padded: bool = False) -> str | None: ... def walk(node: AST) -> Iterator[AST]: ... if sys.version_info >= (3, 14): def compare(left: AST, right: AST, /, *, compare_attributes: bool = False) -> bool: ... class NodeVisitor: # All visit methods below can be overwritten by subclasses and return an # arbitrary value, which is passed to the caller. def visit(self, node: AST) -> Any: ... def generic_visit(self, node: AST) -> Any: ... # The following visit methods are not defined on NodeVisitor, but can # be implemented by subclasses and are called during a visit if defined. def visit_Module(self, node: Module) -> Any: ... def visit_Interactive(self, node: Interactive) -> Any: ... def visit_Expression(self, node: Expression) -> Any: ... def visit_FunctionDef(self, node: FunctionDef) -> Any: ... def visit_AsyncFunctionDef(self, node: AsyncFunctionDef) -> Any: ... def visit_ClassDef(self, node: ClassDef) -> Any: ... def visit_Return(self, node: Return) -> Any: ... def visit_Delete(self, node: Delete) -> Any: ... def visit_Assign(self, node: Assign) -> Any: ... def visit_AugAssign(self, node: AugAssign) -> Any: ... def visit_AnnAssign(self, node: AnnAssign) -> Any: ... def visit_For(self, node: For) -> Any: ... def visit_AsyncFor(self, node: AsyncFor) -> Any: ... def visit_While(self, node: While) -> Any: ... def visit_If(self, node: If) -> Any: ... def visit_With(self, node: With) -> Any: ... def visit_AsyncWith(self, node: AsyncWith) -> Any: ... def visit_Raise(self, node: Raise) -> Any: ... def visit_Try(self, node: Try) -> Any: ... def visit_Assert(self, node: Assert) -> Any: ... def visit_Import(self, node: Import) -> Any: ... def visit_ImportFrom(self, node: ImportFrom) -> Any: ... def visit_Global(self, node: Global) -> Any: ... def visit_Nonlocal(self, node: Nonlocal) -> Any: ... def visit_Expr(self, node: Expr) -> Any: ... def visit_Pass(self, node: Pass) -> Any: ... def visit_Break(self, node: Break) -> Any: ... def visit_Continue(self, node: Continue) -> Any: ... def visit_Slice(self, node: Slice) -> Any: ... def visit_BoolOp(self, node: BoolOp) -> Any: ... def visit_BinOp(self, node: BinOp) -> Any: ... def visit_UnaryOp(self, node: UnaryOp) -> Any: ... def visit_Lambda(self, node: Lambda) -> Any: ... def visit_IfExp(self, node: IfExp) -> Any: ... def visit_Dict(self, node: Dict) -> Any: ... def visit_Set(self, node: Set) -> Any: ... def visit_ListComp(self, node: ListComp) -> Any: ... def visit_SetComp(self, node: SetComp) -> Any: ... def visit_DictComp(self, node: DictComp) -> Any: ... def visit_GeneratorExp(self, node: GeneratorExp) -> Any: ... def visit_Await(self, node: Await) -> Any: ... def visit_Yield(self, node: Yield) -> Any: ... def visit_YieldFrom(self, node: YieldFrom) -> Any: ... def visit_Compare(self, node: Compare) -> Any: ... def visit_Call(self, node: Call) -> Any: ... def visit_FormattedValue(self, node: FormattedValue) -> Any: ... def visit_JoinedStr(self, node: JoinedStr) -> Any: ... def visit_Constant(self, node: Constant) -> Any: ... def visit_NamedExpr(self, node: NamedExpr) -> Any: ... def visit_TypeIgnore(self, node: TypeIgnore) -> Any: ... def visit_Attribute(self, node: Attribute) -> Any: ... def visit_Subscript(self, node: Subscript) -> Any: ... def visit_Starred(self, node: Starred) -> Any: ... def visit_Name(self, node: Name) -> Any: ... def visit_List(self, node: List) -> Any: ... def visit_Tuple(self, node: Tuple) -> Any: ... def visit_Del(self, node: Del) -> Any: ... def visit_Load(self, node: Load) -> Any: ... def visit_Store(self, node: Store) -> Any: ... def visit_And(self, node: And) -> Any: ... def visit_Or(self, node: Or) -> Any: ... def visit_Add(self, node: Add) -> Any: ... def visit_BitAnd(self, node: BitAnd) -> Any: ... def visit_BitOr(self, node: BitOr) -> Any: ... def visit_BitXor(self, node: BitXor) -> Any: ... def visit_Div(self, node: Div) -> Any: ... def visit_FloorDiv(self, node: FloorDiv) -> Any: ... def visit_LShift(self, node: LShift) -> Any: ... def visit_Mod(self, node: Mod) -> Any: ... def visit_Mult(self, node: Mult) -> Any: ... def visit_MatMult(self, node: MatMult) -> Any: ... def visit_Pow(self, node: Pow) -> Any: ... def visit_RShift(self, node: RShift) -> Any: ... def visit_Sub(self, node: Sub) -> Any: ... def visit_Invert(self, node: Invert) -> Any: ... def visit_Not(self, node: Not) -> Any: ... def visit_UAdd(self, node: UAdd) -> Any: ... def visit_USub(self, node: USub) -> Any: ... def visit_Eq(self, node: Eq) -> Any: ... def visit_Gt(self, node: Gt) -> Any: ... def visit_GtE(self, node: GtE) -> Any: ... def visit_In(self, node: In) -> Any: ... def visit_Is(self, node: Is) -> Any: ... def visit_IsNot(self, node: IsNot) -> Any: ... def visit_Lt(self, node: Lt) -> Any: ... def visit_LtE(self, node: LtE) -> Any: ... def visit_NotEq(self, node: NotEq) -> Any: ... def visit_NotIn(self, node: NotIn) -> Any: ... def visit_comprehension(self, node: comprehension) -> Any: ... def visit_ExceptHandler(self, node: ExceptHandler) -> Any: ... def visit_arguments(self, node: arguments) -> Any: ... def visit_arg(self, node: arg) -> Any: ... def visit_keyword(self, node: keyword) -> Any: ... def visit_alias(self, node: alias) -> Any: ... def visit_withitem(self, node: withitem) -> Any: ... if sys.version_info >= (3, 10): def visit_Match(self, node: Match) -> Any: ... def visit_match_case(self, node: match_case) -> Any: ... def visit_MatchValue(self, node: MatchValue) -> Any: ... def visit_MatchSequence(self, node: MatchSequence) -> Any: ... def visit_MatchSingleton(self, node: MatchSingleton) -> Any: ... def visit_MatchStar(self, node: MatchStar) -> Any: ... def visit_MatchMapping(self, node: MatchMapping) -> Any: ... def visit_MatchClass(self, node: MatchClass) -> Any: ... def visit_MatchAs(self, node: MatchAs) -> Any: ... def visit_MatchOr(self, node: MatchOr) -> Any: ... if sys.version_info >= (3, 11): def visit_TryStar(self, node: TryStar) -> Any: ... if sys.version_info >= (3, 12): def visit_TypeVar(self, node: TypeVar) -> Any: ... def visit_ParamSpec(self, node: ParamSpec) -> Any: ... def visit_TypeVarTuple(self, node: TypeVarTuple) -> Any: ... def visit_TypeAlias(self, node: TypeAlias) -> Any: ... # visit methods for deprecated nodes def visit_ExtSlice(self, node: ExtSlice) -> Any: ... def visit_Index(self, node: Index) -> Any: ... def visit_Suite(self, node: Suite) -> Any: ... def visit_AugLoad(self, node: AugLoad) -> Any: ... def visit_AugStore(self, node: AugStore) -> Any: ... def visit_Param(self, node: Param) -> Any: ... if sys.version_info < (3, 14): @deprecated("Removed in Python 3.14. Use `visit_Constant` instead.") def visit_Num(self, node: Num) -> Any: ... # type: ignore[deprecated] @deprecated("Removed in Python 3.14. Use `visit_Constant` instead.") def visit_Str(self, node: Str) -> Any: ... # type: ignore[deprecated] @deprecated("Removed in Python 3.14. Use `visit_Constant` instead.") def visit_Bytes(self, node: Bytes) -> Any: ... # type: ignore[deprecated] @deprecated("Removed in Python 3.14. Use `visit_Constant` instead.") def visit_NameConstant(self, node: NameConstant) -> Any: ... # type: ignore[deprecated] @deprecated("Removed in Python 3.14. Use `visit_Constant` instead.") def visit_Ellipsis(self, node: Ellipsis) -> Any: ... # type: ignore[deprecated] class NodeTransformer(NodeVisitor): def generic_visit(self, node: AST) -> AST: ... # TODO: Override the visit_* methods with better return types. # The usual return type is AST | None, but Iterable[AST] # is also allowed in some cases -- this needs to be mapped. def unparse(ast_obj: AST) -> str: ... if sys.version_info >= (3, 14): def main(args: Sequence[str] | None = None) -> None: ... else: def main() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asynchat.pyi0000644000175100017510000000142315112307767020720 0ustar00runnerrunnerimport asyncore from abc import abstractmethod class simple_producer: def __init__(self, data: bytes, buffer_size: int = 512) -> None: ... def more(self) -> bytes: ... class async_chat(asyncore.dispatcher): ac_in_buffer_size: int ac_out_buffer_size: int @abstractmethod def collect_incoming_data(self, data: bytes) -> None: ... @abstractmethod def found_terminator(self) -> None: ... def set_terminator(self, term: bytes | int | None) -> None: ... def get_terminator(self) -> bytes | int | None: ... def push(self, data: bytes) -> None: ... def push_with_producer(self, producer: simple_producer) -> None: ... def close_when_done(self) -> None: ... def initiate_send(self) -> None: ... def discard_buffers(self) -> None: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.542765 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/0000755000175100017510000000000015112310012020001 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/__init__.pyi0000644000175100017510000012676215112307767022330 0ustar00runnerrunner# This condition is so big, it's clearer to keep to platform condition in two blocks # Can't NOQA on a specific line: https://github.com/plinss/flake8-noqa/issues/22 import sys from collections.abc import Awaitable, Coroutine, Generator from typing import Any, TypeVar from typing_extensions import TypeAlias # As at runtime, this depends on all submodules defining __all__ accurately. from .base_events import * from .coroutines import * from .events import * from .exceptions import * from .futures import * from .locks import * from .protocols import * from .queues import * from .runners import * from .streams import * from .subprocess import * from .tasks import * from .threads import * from .transports import * if sys.version_info >= (3, 14): from .graph import * if sys.version_info >= (3, 11): from .taskgroups import * from .timeouts import * if sys.platform == "win32": from .windows_events import * else: from .unix_events import * if sys.platform == "win32": if sys.version_info >= (3, 14): __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "BrokenBarrierError", # from exceptions "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "future_discard_from_awaited_by", # from futures "future_add_to_awaited_by", # from futures "capture_call_graph", # from graph "format_call_graph", # from graph "print_call_graph", # from graph "FrameCallGraphEntry", # from graph "FutureCallGraph", # from graph "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "Barrier", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "Runner", # from runners "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "QueueShutDown", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "create_eager_task_factory", # from tasks "eager_task_factory", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "TaskGroup", # from taskgroups "to_thread", # from threads "Timeout", # from timeouts "timeout", # from timeouts "timeout_at", # from timeouts "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from windows_events "ProactorEventLoop", # from windows_events "IocpProactor", # from windows_events "_DefaultEventLoopPolicy", # from windows_events "_WindowsSelectorEventLoopPolicy", # from windows_events "_WindowsProactorEventLoopPolicy", # from windows_events "EventLoop", # from windows_events ) elif sys.version_info >= (3, 13): __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoopPolicy", # from events "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "get_child_watcher", # from events "set_child_watcher", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "BrokenBarrierError", # from exceptions "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "Barrier", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "Runner", # from runners "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "QueueShutDown", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "create_eager_task_factory", # from tasks "eager_task_factory", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "TaskGroup", # from taskgroups "to_thread", # from threads "Timeout", # from timeouts "timeout", # from timeouts "timeout_at", # from timeouts "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from windows_events "ProactorEventLoop", # from windows_events "IocpProactor", # from windows_events "DefaultEventLoopPolicy", # from windows_events "WindowsSelectorEventLoopPolicy", # from windows_events "WindowsProactorEventLoopPolicy", # from windows_events "EventLoop", # from windows_events ) elif sys.version_info >= (3, 12): __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoopPolicy", # from events "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "get_child_watcher", # from events "set_child_watcher", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "BrokenBarrierError", # from exceptions "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "Barrier", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "Runner", # from runners "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "create_eager_task_factory", # from tasks "eager_task_factory", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "TaskGroup", # from taskgroups "to_thread", # from threads "Timeout", # from timeouts "timeout", # from timeouts "timeout_at", # from timeouts "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from windows_events "ProactorEventLoop", # from windows_events "IocpProactor", # from windows_events "DefaultEventLoopPolicy", # from windows_events "WindowsSelectorEventLoopPolicy", # from windows_events "WindowsProactorEventLoopPolicy", # from windows_events ) elif sys.version_info >= (3, 11): __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoopPolicy", # from events "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "get_child_watcher", # from events "set_child_watcher", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "BrokenBarrierError", # from exceptions "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "Barrier", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "Runner", # from runners "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "to_thread", # from threads "Timeout", # from timeouts "timeout", # from timeouts "timeout_at", # from timeouts "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from windows_events "ProactorEventLoop", # from windows_events "IocpProactor", # from windows_events "DefaultEventLoopPolicy", # from windows_events "WindowsSelectorEventLoopPolicy", # from windows_events "WindowsProactorEventLoopPolicy", # from windows_events ) else: __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "coroutine", # from coroutines "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoopPolicy", # from events "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "get_child_watcher", # from events "set_child_watcher", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "to_thread", # from threads "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from windows_events "ProactorEventLoop", # from windows_events "IocpProactor", # from windows_events "DefaultEventLoopPolicy", # from windows_events "WindowsSelectorEventLoopPolicy", # from windows_events "WindowsProactorEventLoopPolicy", # from windows_events ) else: if sys.version_info >= (3, 14): __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "BrokenBarrierError", # from exceptions "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "future_discard_from_awaited_by", # from futures "future_add_to_awaited_by", # from futures "capture_call_graph", # from graph "format_call_graph", # from graph "print_call_graph", # from graph "FrameCallGraphEntry", # from graph "FutureCallGraph", # from graph "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "Barrier", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "Runner", # from runners "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "QueueShutDown", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "open_unix_connection", # from streams "start_unix_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "create_eager_task_factory", # from tasks "eager_task_factory", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "TaskGroup", # from taskgroups "to_thread", # from threads "Timeout", # from timeouts "timeout", # from timeouts "timeout_at", # from timeouts "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from unix_events "EventLoop", # from unix_events ) elif sys.version_info >= (3, 13): __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoopPolicy", # from events "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "get_child_watcher", # from events "set_child_watcher", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "BrokenBarrierError", # from exceptions "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "Barrier", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "Runner", # from runners "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "QueueShutDown", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "open_unix_connection", # from streams "start_unix_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "create_eager_task_factory", # from tasks "eager_task_factory", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "TaskGroup", # from taskgroups "to_thread", # from threads "Timeout", # from timeouts "timeout", # from timeouts "timeout_at", # from timeouts "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from unix_events "AbstractChildWatcher", # from unix_events "SafeChildWatcher", # from unix_events "FastChildWatcher", # from unix_events "PidfdChildWatcher", # from unix_events "MultiLoopChildWatcher", # from unix_events "ThreadedChildWatcher", # from unix_events "DefaultEventLoopPolicy", # from unix_events "EventLoop", # from unix_events ) elif sys.version_info >= (3, 12): __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoopPolicy", # from events "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "get_child_watcher", # from events "set_child_watcher", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "BrokenBarrierError", # from exceptions "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "Barrier", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "Runner", # from runners "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "open_unix_connection", # from streams "start_unix_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "create_eager_task_factory", # from tasks "eager_task_factory", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "TaskGroup", # from taskgroups "to_thread", # from threads "Timeout", # from timeouts "timeout", # from timeouts "timeout_at", # from timeouts "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from unix_events "AbstractChildWatcher", # from unix_events "SafeChildWatcher", # from unix_events "FastChildWatcher", # from unix_events "PidfdChildWatcher", # from unix_events "MultiLoopChildWatcher", # from unix_events "ThreadedChildWatcher", # from unix_events "DefaultEventLoopPolicy", # from unix_events ) elif sys.version_info >= (3, 11): __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoopPolicy", # from events "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "get_child_watcher", # from events "set_child_watcher", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "BrokenBarrierError", # from exceptions "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "Barrier", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "Runner", # from runners "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "open_unix_connection", # from streams "start_unix_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "to_thread", # from threads "Timeout", # from timeouts "timeout", # from timeouts "timeout_at", # from timeouts "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from unix_events "AbstractChildWatcher", # from unix_events "SafeChildWatcher", # from unix_events "FastChildWatcher", # from unix_events "PidfdChildWatcher", # from unix_events "MultiLoopChildWatcher", # from unix_events "ThreadedChildWatcher", # from unix_events "DefaultEventLoopPolicy", # from unix_events ) else: __all__ = ( "BaseEventLoop", # from base_events "Server", # from base_events "coroutine", # from coroutines "iscoroutinefunction", # from coroutines "iscoroutine", # from coroutines "AbstractEventLoopPolicy", # from events "AbstractEventLoop", # from events "AbstractServer", # from events "Handle", # from events "TimerHandle", # from events "get_event_loop_policy", # from events "set_event_loop_policy", # from events "get_event_loop", # from events "set_event_loop", # from events "new_event_loop", # from events "get_child_watcher", # from events "set_child_watcher", # from events "_set_running_loop", # from events "get_running_loop", # from events "_get_running_loop", # from events "CancelledError", # from exceptions "InvalidStateError", # from exceptions "TimeoutError", # from exceptions "IncompleteReadError", # from exceptions "LimitOverrunError", # from exceptions "SendfileNotAvailableError", # from exceptions "Future", # from futures "wrap_future", # from futures "isfuture", # from futures "Lock", # from locks "Event", # from locks "Condition", # from locks "Semaphore", # from locks "BoundedSemaphore", # from locks "BaseProtocol", # from protocols "Protocol", # from protocols "DatagramProtocol", # from protocols "SubprocessProtocol", # from protocols "BufferedProtocol", # from protocols "run", # from runners "Queue", # from queues "PriorityQueue", # from queues "LifoQueue", # from queues "QueueFull", # from queues "QueueEmpty", # from queues "StreamReader", # from streams "StreamWriter", # from streams "StreamReaderProtocol", # from streams "open_connection", # from streams "start_server", # from streams "open_unix_connection", # from streams "start_unix_server", # from streams "create_subprocess_exec", # from subprocess "create_subprocess_shell", # from subprocess "Task", # from tasks "create_task", # from tasks "FIRST_COMPLETED", # from tasks "FIRST_EXCEPTION", # from tasks "ALL_COMPLETED", # from tasks "wait", # from tasks "wait_for", # from tasks "as_completed", # from tasks "sleep", # from tasks "gather", # from tasks "shield", # from tasks "ensure_future", # from tasks "run_coroutine_threadsafe", # from tasks "current_task", # from tasks "all_tasks", # from tasks "_register_task", # from tasks "_unregister_task", # from tasks "_enter_task", # from tasks "_leave_task", # from tasks "to_thread", # from threads "BaseTransport", # from transports "ReadTransport", # from transports "WriteTransport", # from transports "Transport", # from transports "DatagramTransport", # from transports "SubprocessTransport", # from transports "SelectorEventLoop", # from unix_events "AbstractChildWatcher", # from unix_events "SafeChildWatcher", # from unix_events "FastChildWatcher", # from unix_events "PidfdChildWatcher", # from unix_events "MultiLoopChildWatcher", # from unix_events "ThreadedChildWatcher", # from unix_events "DefaultEventLoopPolicy", # from unix_events ) _T_co = TypeVar("_T_co", covariant=True) # Aliases imported by multiple submodules in typeshed if sys.version_info >= (3, 12): _AwaitableLike: TypeAlias = Awaitable[_T_co] # noqa: Y047 _CoroutineLike: TypeAlias = Coroutine[Any, Any, _T_co] # noqa: Y047 else: _AwaitableLike: TypeAlias = Generator[Any, None, _T_co] | Awaitable[_T_co] _CoroutineLike: TypeAlias = Generator[Any, None, _T_co] | Coroutine[Any, Any, _T_co] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/base_events.pyi0000644000175100017510000004642315112307767023062 0ustar00runnerrunnerimport ssl import sys from _typeshed import FileDescriptorLike, ReadableBuffer, WriteableBuffer from asyncio import _AwaitableLike, _CoroutineLike from asyncio.events import AbstractEventLoop, AbstractServer, Handle, TimerHandle, _TaskFactory from asyncio.futures import Future from asyncio.protocols import BaseProtocol from asyncio.tasks import Task from asyncio.transports import BaseTransport, DatagramTransport, ReadTransport, SubprocessTransport, Transport, WriteTransport from collections.abc import Callable, Iterable, Sequence from concurrent.futures import Executor, ThreadPoolExecutor from contextvars import Context from socket import AddressFamily, AddressInfo, SocketKind, _Address, _RetAddress, socket from typing import IO, Any, Literal, TypeVar, overload from typing_extensions import TypeAlias, TypeVarTuple, Unpack # Keep asyncio.__all__ updated with any changes to __all__ here __all__ = ("BaseEventLoop", "Server") _T = TypeVar("_T") _Ts = TypeVarTuple("_Ts") _ProtocolT = TypeVar("_ProtocolT", bound=BaseProtocol) _Context: TypeAlias = dict[str, Any] _ExceptionHandler: TypeAlias = Callable[[AbstractEventLoop, _Context], object] _ProtocolFactory: TypeAlias = Callable[[], BaseProtocol] _SSLContext: TypeAlias = bool | None | ssl.SSLContext class Server(AbstractServer): if sys.version_info >= (3, 11): def __init__( self, loop: AbstractEventLoop, sockets: Iterable[socket], protocol_factory: _ProtocolFactory, ssl_context: _SSLContext, backlog: int, ssl_handshake_timeout: float | None, ssl_shutdown_timeout: float | None = None, ) -> None: ... else: def __init__( self, loop: AbstractEventLoop, sockets: Iterable[socket], protocol_factory: _ProtocolFactory, ssl_context: _SSLContext, backlog: int, ssl_handshake_timeout: float | None, ) -> None: ... if sys.version_info >= (3, 13): def close_clients(self) -> None: ... def abort_clients(self) -> None: ... def get_loop(self) -> AbstractEventLoop: ... def is_serving(self) -> bool: ... async def start_serving(self) -> None: ... async def serve_forever(self) -> None: ... @property def sockets(self) -> tuple[socket, ...]: ... def close(self) -> None: ... async def wait_closed(self) -> None: ... class BaseEventLoop(AbstractEventLoop): def run_forever(self) -> None: ... def run_until_complete(self, future: _AwaitableLike[_T]) -> _T: ... def stop(self) -> None: ... def is_running(self) -> bool: ... def is_closed(self) -> bool: ... def close(self) -> None: ... async def shutdown_asyncgens(self) -> None: ... # Methods scheduling callbacks. All these return Handles. def call_soon( self, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts], context: Context | None = None ) -> Handle: ... def call_later( self, delay: float, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts], context: Context | None = None ) -> TimerHandle: ... def call_at( self, when: float, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts], context: Context | None = None ) -> TimerHandle: ... def time(self) -> float: ... # Future methods def create_future(self) -> Future[Any]: ... # Tasks methods if sys.version_info >= (3, 11): def create_task(self, coro: _CoroutineLike[_T], *, name: object = None, context: Context | None = None) -> Task[_T]: ... else: def create_task(self, coro: _CoroutineLike[_T], *, name: object = None) -> Task[_T]: ... def set_task_factory(self, factory: _TaskFactory | None) -> None: ... def get_task_factory(self) -> _TaskFactory | None: ... # Methods for interacting with threads def call_soon_threadsafe( self, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts], context: Context | None = None ) -> Handle: ... def run_in_executor(self, executor: Executor | None, func: Callable[[Unpack[_Ts]], _T], *args: Unpack[_Ts]) -> Future[_T]: ... def set_default_executor(self, executor: ThreadPoolExecutor) -> None: ... # type: ignore[override] # Network I/O methods returning Futures. async def getaddrinfo( self, host: bytes | str | None, port: bytes | str | int | None, *, family: int = 0, type: int = 0, proto: int = 0, flags: int = 0, ) -> list[tuple[AddressFamily, SocketKind, int, str, tuple[str, int] | tuple[str, int, int, int]]]: ... async def getnameinfo(self, sockaddr: tuple[str, int] | tuple[str, int, int, int], flags: int = 0) -> tuple[str, str]: ... if sys.version_info >= (3, 12): @overload async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: str = ..., port: int = ..., *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: None = None, local_addr: tuple[str, int] | None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, all_errors: bool = False, ) -> tuple[Transport, _ProtocolT]: ... @overload async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: None = None, port: None = None, *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: socket, local_addr: None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, all_errors: bool = False, ) -> tuple[Transport, _ProtocolT]: ... elif sys.version_info >= (3, 11): @overload async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: str = ..., port: int = ..., *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: None = None, local_addr: tuple[str, int] | None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, ) -> tuple[Transport, _ProtocolT]: ... @overload async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: None = None, port: None = None, *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: socket, local_addr: None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, ) -> tuple[Transport, _ProtocolT]: ... else: @overload async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: str = ..., port: int = ..., *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: None = None, local_addr: tuple[str, int] | None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, ) -> tuple[Transport, _ProtocolT]: ... @overload async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: None = None, port: None = None, *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: socket, local_addr: None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, ) -> tuple[Transport, _ProtocolT]: ... if sys.version_info >= (3, 13): # 3.13 added `keep_alive`. @overload async def create_server( self, protocol_factory: _ProtocolFactory, host: str | Sequence[str] | None = None, port: int = ..., *, family: int = 0, flags: int = 1, sock: None = None, backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, keep_alive: bool | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... @overload async def create_server( self, protocol_factory: _ProtocolFactory, host: None = None, port: None = None, *, family: int = 0, flags: int = 1, sock: socket = ..., backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, keep_alive: bool | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... elif sys.version_info >= (3, 11): @overload async def create_server( self, protocol_factory: _ProtocolFactory, host: str | Sequence[str] | None = None, port: int = ..., *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: None = None, backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... @overload async def create_server( self, protocol_factory: _ProtocolFactory, host: None = None, port: None = None, *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: socket = ..., backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... else: @overload async def create_server( self, protocol_factory: _ProtocolFactory, host: str | Sequence[str] | None = None, port: int = ..., *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: None = None, backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, ssl_handshake_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... @overload async def create_server( self, protocol_factory: _ProtocolFactory, host: None = None, port: None = None, *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: socket = ..., backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, ssl_handshake_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... if sys.version_info >= (3, 11): async def start_tls( self, transport: BaseTransport, protocol: BaseProtocol, sslcontext: ssl.SSLContext, *, server_side: bool = False, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, ) -> Transport | None: ... async def connect_accepted_socket( self, protocol_factory: Callable[[], _ProtocolT], sock: socket, *, ssl: _SSLContext = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, ) -> tuple[Transport, _ProtocolT]: ... else: async def start_tls( self, transport: BaseTransport, protocol: BaseProtocol, sslcontext: ssl.SSLContext, *, server_side: bool = False, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ) -> Transport | None: ... async def connect_accepted_socket( self, protocol_factory: Callable[[], _ProtocolT], sock: socket, *, ssl: _SSLContext = None, ssl_handshake_timeout: float | None = None, ) -> tuple[Transport, _ProtocolT]: ... async def sock_sendfile( self, sock: socket, file: IO[bytes], offset: int = 0, count: int | None = None, *, fallback: bool | None = True ) -> int: ... async def sendfile( self, transport: WriteTransport, file: IO[bytes], offset: int = 0, count: int | None = None, *, fallback: bool = True ) -> int: ... if sys.version_info >= (3, 11): async def create_datagram_endpoint( # type: ignore[override] self, protocol_factory: Callable[[], _ProtocolT], local_addr: tuple[str, int] | str | None = None, remote_addr: tuple[str, int] | str | None = None, *, family: int = 0, proto: int = 0, flags: int = 0, reuse_port: bool | None = None, allow_broadcast: bool | None = None, sock: socket | None = None, ) -> tuple[DatagramTransport, _ProtocolT]: ... else: async def create_datagram_endpoint( self, protocol_factory: Callable[[], _ProtocolT], local_addr: tuple[str, int] | str | None = None, remote_addr: tuple[str, int] | str | None = None, *, family: int = 0, proto: int = 0, flags: int = 0, reuse_address: bool | None = ..., reuse_port: bool | None = None, allow_broadcast: bool | None = None, sock: socket | None = None, ) -> tuple[DatagramTransport, _ProtocolT]: ... # Pipes and subprocesses. async def connect_read_pipe( self, protocol_factory: Callable[[], _ProtocolT], pipe: Any ) -> tuple[ReadTransport, _ProtocolT]: ... async def connect_write_pipe( self, protocol_factory: Callable[[], _ProtocolT], pipe: Any ) -> tuple[WriteTransport, _ProtocolT]: ... async def subprocess_shell( self, protocol_factory: Callable[[], _ProtocolT], cmd: bytes | str, *, stdin: int | IO[Any] | None = -1, stdout: int | IO[Any] | None = -1, stderr: int | IO[Any] | None = -1, universal_newlines: Literal[False] = False, shell: Literal[True] = True, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, **kwargs: Any, ) -> tuple[SubprocessTransport, _ProtocolT]: ... async def subprocess_exec( self, protocol_factory: Callable[[], _ProtocolT], program: Any, *args: Any, stdin: int | IO[Any] | None = -1, stdout: int | IO[Any] | None = -1, stderr: int | IO[Any] | None = -1, universal_newlines: Literal[False] = False, shell: Literal[False] = False, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, **kwargs: Any, ) -> tuple[SubprocessTransport, _ProtocolT]: ... def add_reader(self, fd: FileDescriptorLike, callback: Callable[[Unpack[_Ts]], Any], *args: Unpack[_Ts]) -> None: ... def remove_reader(self, fd: FileDescriptorLike) -> bool: ... def add_writer(self, fd: FileDescriptorLike, callback: Callable[[Unpack[_Ts]], Any], *args: Unpack[_Ts]) -> None: ... def remove_writer(self, fd: FileDescriptorLike) -> bool: ... # The sock_* methods (and probably some others) are not actually implemented on # BaseEventLoop, only on subclasses. We list them here for now for convenience. async def sock_recv(self, sock: socket, nbytes: int) -> bytes: ... async def sock_recv_into(self, sock: socket, buf: WriteableBuffer) -> int: ... async def sock_sendall(self, sock: socket, data: ReadableBuffer) -> None: ... async def sock_connect(self, sock: socket, address: _Address) -> None: ... async def sock_accept(self, sock: socket) -> tuple[socket, _RetAddress]: ... if sys.version_info >= (3, 11): async def sock_recvfrom(self, sock: socket, bufsize: int) -> tuple[bytes, _RetAddress]: ... async def sock_recvfrom_into(self, sock: socket, buf: WriteableBuffer, nbytes: int = 0) -> tuple[int, _RetAddress]: ... async def sock_sendto(self, sock: socket, data: ReadableBuffer, address: _Address) -> int: ... # Signal handling. def add_signal_handler(self, sig: int, callback: Callable[[Unpack[_Ts]], Any], *args: Unpack[_Ts]) -> None: ... def remove_signal_handler(self, sig: int) -> bool: ... # Error handlers. def set_exception_handler(self, handler: _ExceptionHandler | None) -> None: ... def get_exception_handler(self) -> _ExceptionHandler | None: ... def default_exception_handler(self, context: _Context) -> None: ... def call_exception_handler(self, context: _Context) -> None: ... # Debug flag management. def get_debug(self) -> bool: ... def set_debug(self, enabled: bool) -> None: ... if sys.version_info >= (3, 12): async def shutdown_default_executor(self, timeout: float | None = None) -> None: ... else: async def shutdown_default_executor(self) -> None: ... def __del__(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/base_futures.pyi0000644000175100017510000000114115112307767023237 0ustar00runnerrunnerfrom _asyncio import Future from collections.abc import Callable, Sequence from contextvars import Context from typing import Any, Final from typing_extensions import TypeIs from . import futures __all__ = () _PENDING: Final = "PENDING" # undocumented _CANCELLED: Final = "CANCELLED" # undocumented _FINISHED: Final = "FINISHED" # undocumented def isfuture(obj: object) -> TypeIs[Future[Any]]: ... def _format_callbacks(cb: Sequence[tuple[Callable[[futures.Future[Any]], None], Context]]) -> str: ... # undocumented def _future_repr_info(future: futures.Future[Any]) -> list[str]: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/base_subprocess.pyi0000644000175100017510000000517015112307767023740 0ustar00runnerrunnerimport subprocess from collections import deque from collections.abc import Callable, Sequence from typing import IO, Any from typing_extensions import TypeAlias from . import events, futures, protocols, transports _File: TypeAlias = int | IO[Any] | None class BaseSubprocessTransport(transports.SubprocessTransport): _closed: bool # undocumented _protocol: protocols.SubprocessProtocol # undocumented _loop: events.AbstractEventLoop # undocumented _proc: subprocess.Popen[Any] | None # undocumented _pid: int | None # undocumented _returncode: int | None # undocumented _exit_waiters: list[futures.Future[Any]] # undocumented _pending_calls: deque[tuple[Callable[..., Any], tuple[Any, ...]]] # undocumented _pipes: dict[int, _File] # undocumented _finished: bool # undocumented def __init__( self, loop: events.AbstractEventLoop, protocol: protocols.SubprocessProtocol, args: str | bytes | Sequence[str | bytes], shell: bool, stdin: _File, stdout: _File, stderr: _File, bufsize: int, waiter: futures.Future[Any] | None = None, extra: Any | None = None, **kwargs: Any, ) -> None: ... def _start( self, args: str | bytes | Sequence[str | bytes], shell: bool, stdin: _File, stdout: _File, stderr: _File, bufsize: int, **kwargs: Any, ) -> None: ... # undocumented def get_pid(self) -> int | None: ... # type: ignore[override] def get_pipe_transport(self, fd: int) -> _File: ... # type: ignore[override] def _check_proc(self) -> None: ... # undocumented def send_signal(self, signal: int) -> None: ... async def _connect_pipes(self, waiter: futures.Future[Any] | None) -> None: ... # undocumented def _call(self, cb: Callable[..., object], *data: Any) -> None: ... # undocumented def _pipe_connection_lost(self, fd: int, exc: BaseException | None) -> None: ... # undocumented def _pipe_data_received(self, fd: int, data: bytes) -> None: ... # undocumented def _process_exited(self, returncode: int) -> None: ... # undocumented async def _wait(self) -> int: ... # undocumented def _try_finish(self) -> None: ... # undocumented def _call_connection_lost(self, exc: BaseException | None) -> None: ... # undocumented def __del__(self) -> None: ... class WriteSubprocessPipeProto(protocols.BaseProtocol): # undocumented def __init__(self, proc: BaseSubprocessTransport, fd: int) -> None: ... class ReadSubprocessPipeProto(WriteSubprocessPipeProto, protocols.Protocol): ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/base_tasks.pyi0000644000175100017510000000062415112307767022674 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath from types import FrameType from typing import Any from . import tasks def _task_repr_info(task: tasks.Task[Any]) -> list[str]: ... # undocumented def _task_get_stack(task: tasks.Task[Any], limit: int | None) -> list[FrameType]: ... # undocumented def _task_print_stack(task: tasks.Task[Any], limit: int | None, file: StrOrBytesPath) -> None: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/constants.pyi0000644000175100017510000000105415112307767022567 0ustar00runnerrunnerimport enum import sys from typing import Final LOG_THRESHOLD_FOR_CONNLOST_WRITES: Final = 5 ACCEPT_RETRY_DELAY: Final = 1 DEBUG_STACK_DEPTH: Final = 10 SSL_HANDSHAKE_TIMEOUT: float SENDFILE_FALLBACK_READBUFFER_SIZE: Final = 262144 if sys.version_info >= (3, 11): SSL_SHUTDOWN_TIMEOUT: float FLOW_CONTROL_HIGH_WATER_SSL_READ: Final = 256 FLOW_CONTROL_HIGH_WATER_SSL_WRITE: Final = 512 if sys.version_info >= (3, 12): THREAD_JOIN_TIMEOUT: Final = 300 class _SendfileMode(enum.Enum): UNSUPPORTED = 1 TRY_NATIVE = 2 FALLBACK = 3 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/coroutines.pyi0000644000175100017510000000227115112307767022747 0ustar00runnerrunnerimport sys from collections.abc import Awaitable, Callable, Coroutine from typing import Any, TypeVar, overload from typing_extensions import ParamSpec, TypeGuard, TypeIs, deprecated # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 11): __all__ = ("iscoroutinefunction", "iscoroutine") else: __all__ = ("coroutine", "iscoroutinefunction", "iscoroutine") _T = TypeVar("_T") _FunctionT = TypeVar("_FunctionT", bound=Callable[..., Any]) _P = ParamSpec("_P") if sys.version_info < (3, 11): @deprecated("Deprecated since Python 3.8; removed in Python 3.11. Use `async def` instead.") def coroutine(func: _FunctionT) -> _FunctionT: ... @overload def iscoroutinefunction(func: Callable[..., Coroutine[Any, Any, Any]]) -> bool: ... @overload def iscoroutinefunction(func: Callable[_P, Awaitable[_T]]) -> TypeGuard[Callable[_P, Coroutine[Any, Any, _T]]]: ... @overload def iscoroutinefunction(func: Callable[_P, object]) -> TypeGuard[Callable[_P, Coroutine[Any, Any, Any]]]: ... @overload def iscoroutinefunction(func: object) -> TypeGuard[Callable[..., Coroutine[Any, Any, Any]]]: ... def iscoroutine(obj: object) -> TypeIs[Coroutine[Any, Any, Any]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/events.pyi0000644000175100017510000006170415112307767022067 0ustar00runnerrunnerimport ssl import sys from _asyncio import ( _get_running_loop as _get_running_loop, _set_running_loop as _set_running_loop, get_event_loop as get_event_loop, get_running_loop as get_running_loop, ) from _typeshed import FileDescriptorLike, ReadableBuffer, StrPath, Unused, WriteableBuffer from abc import ABCMeta, abstractmethod from collections.abc import Callable, Sequence from concurrent.futures import Executor from contextvars import Context from socket import AddressFamily, AddressInfo, SocketKind, _Address, _RetAddress, socket from typing import IO, Any, Literal, Protocol, TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias, TypeVarTuple, Unpack, deprecated from . import _AwaitableLike, _CoroutineLike from .base_events import Server from .futures import Future from .protocols import BaseProtocol from .tasks import Task from .transports import BaseTransport, DatagramTransport, ReadTransport, SubprocessTransport, Transport, WriteTransport if sys.version_info < (3, 14): from .unix_events import AbstractChildWatcher # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 14): __all__ = ( "AbstractEventLoop", "AbstractServer", "Handle", "TimerHandle", "get_event_loop_policy", "set_event_loop_policy", "get_event_loop", "set_event_loop", "new_event_loop", "_set_running_loop", "get_running_loop", "_get_running_loop", ) else: __all__ = ( "AbstractEventLoopPolicy", "AbstractEventLoop", "AbstractServer", "Handle", "TimerHandle", "get_event_loop_policy", "set_event_loop_policy", "get_event_loop", "set_event_loop", "new_event_loop", "get_child_watcher", "set_child_watcher", "_set_running_loop", "get_running_loop", "_get_running_loop", ) _T = TypeVar("_T") _Ts = TypeVarTuple("_Ts") _ProtocolT = TypeVar("_ProtocolT", bound=BaseProtocol) _Context: TypeAlias = dict[str, Any] _ExceptionHandler: TypeAlias = Callable[[AbstractEventLoop, _Context], object] _ProtocolFactory: TypeAlias = Callable[[], BaseProtocol] _SSLContext: TypeAlias = bool | None | ssl.SSLContext @type_check_only class _TaskFactory(Protocol): def __call__(self, loop: AbstractEventLoop, factory: _CoroutineLike[_T], /) -> Future[_T]: ... class Handle: __slots__ = ("_callback", "_args", "_cancelled", "_loop", "_source_traceback", "_repr", "__weakref__", "_context") _cancelled: bool _args: Sequence[Any] def __init__( self, callback: Callable[..., object], args: Sequence[Any], loop: AbstractEventLoop, context: Context | None = None ) -> None: ... def cancel(self) -> None: ... def _run(self) -> None: ... def cancelled(self) -> bool: ... if sys.version_info >= (3, 12): def get_context(self) -> Context: ... class TimerHandle(Handle): __slots__ = ["_scheduled", "_when"] def __init__( self, when: float, callback: Callable[..., object], args: Sequence[Any], loop: AbstractEventLoop, context: Context | None = None, ) -> None: ... def __hash__(self) -> int: ... def when(self) -> float: ... def __lt__(self, other: TimerHandle) -> bool: ... def __le__(self, other: TimerHandle) -> bool: ... def __gt__(self, other: TimerHandle) -> bool: ... def __ge__(self, other: TimerHandle) -> bool: ... def __eq__(self, other: object) -> bool: ... class AbstractServer: @abstractmethod def close(self) -> None: ... if sys.version_info >= (3, 13): @abstractmethod def close_clients(self) -> None: ... @abstractmethod def abort_clients(self) -> None: ... async def __aenter__(self) -> Self: ... async def __aexit__(self, *exc: Unused) -> None: ... @abstractmethod def get_loop(self) -> AbstractEventLoop: ... @abstractmethod def is_serving(self) -> bool: ... @abstractmethod async def start_serving(self) -> None: ... @abstractmethod async def serve_forever(self) -> None: ... @abstractmethod async def wait_closed(self) -> None: ... class AbstractEventLoop: slow_callback_duration: float @abstractmethod def run_forever(self) -> None: ... @abstractmethod def run_until_complete(self, future: _AwaitableLike[_T]) -> _T: ... @abstractmethod def stop(self) -> None: ... @abstractmethod def is_running(self) -> bool: ... @abstractmethod def is_closed(self) -> bool: ... @abstractmethod def close(self) -> None: ... @abstractmethod async def shutdown_asyncgens(self) -> None: ... # Methods scheduling callbacks. All these return Handles. # "context" added in 3.9.10/3.10.2 for call_* @abstractmethod def call_soon( self, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts], context: Context | None = None ) -> Handle: ... @abstractmethod def call_later( self, delay: float, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts], context: Context | None = None ) -> TimerHandle: ... @abstractmethod def call_at( self, when: float, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts], context: Context | None = None ) -> TimerHandle: ... @abstractmethod def time(self) -> float: ... # Future methods @abstractmethod def create_future(self) -> Future[Any]: ... # Tasks methods if sys.version_info >= (3, 11): @abstractmethod def create_task( self, coro: _CoroutineLike[_T], *, name: str | None = None, context: Context | None = None ) -> Task[_T]: ... else: @abstractmethod def create_task(self, coro: _CoroutineLike[_T], *, name: str | None = None) -> Task[_T]: ... @abstractmethod def set_task_factory(self, factory: _TaskFactory | None) -> None: ... @abstractmethod def get_task_factory(self) -> _TaskFactory | None: ... # Methods for interacting with threads # "context" added in 3.9.10/3.10.2 @abstractmethod def call_soon_threadsafe( self, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts], context: Context | None = None ) -> Handle: ... @abstractmethod def run_in_executor(self, executor: Executor | None, func: Callable[[Unpack[_Ts]], _T], *args: Unpack[_Ts]) -> Future[_T]: ... @abstractmethod def set_default_executor(self, executor: Executor) -> None: ... # Network I/O methods returning Futures. @abstractmethod async def getaddrinfo( self, host: bytes | str | None, port: bytes | str | int | None, *, family: int = 0, type: int = 0, proto: int = 0, flags: int = 0, ) -> list[tuple[AddressFamily, SocketKind, int, str, tuple[str, int] | tuple[str, int, int, int]]]: ... @abstractmethod async def getnameinfo(self, sockaddr: tuple[str, int] | tuple[str, int, int, int], flags: int = 0) -> tuple[str, str]: ... if sys.version_info >= (3, 11): @overload @abstractmethod async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: str = ..., port: int = ..., *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: None = None, local_addr: tuple[str, int] | None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, ) -> tuple[Transport, _ProtocolT]: ... @overload @abstractmethod async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: None = None, port: None = None, *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: socket, local_addr: None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, ) -> tuple[Transport, _ProtocolT]: ... else: @overload @abstractmethod async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: str = ..., port: int = ..., *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: None = None, local_addr: tuple[str, int] | None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, ) -> tuple[Transport, _ProtocolT]: ... @overload @abstractmethod async def create_connection( self, protocol_factory: Callable[[], _ProtocolT], host: None = None, port: None = None, *, ssl: _SSLContext = None, family: int = 0, proto: int = 0, flags: int = 0, sock: socket, local_addr: None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, happy_eyeballs_delay: float | None = None, interleave: int | None = None, ) -> tuple[Transport, _ProtocolT]: ... if sys.version_info >= (3, 13): # 3.13 added `keep_alive`. @overload @abstractmethod async def create_server( self, protocol_factory: _ProtocolFactory, host: str | Sequence[str] | None = None, port: int = ..., *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: None = None, backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, keep_alive: bool | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... @overload @abstractmethod async def create_server( self, protocol_factory: _ProtocolFactory, host: None = None, port: None = None, *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: socket = ..., backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, keep_alive: bool | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... elif sys.version_info >= (3, 11): @overload @abstractmethod async def create_server( self, protocol_factory: _ProtocolFactory, host: str | Sequence[str] | None = None, port: int = ..., *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: None = None, backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... @overload @abstractmethod async def create_server( self, protocol_factory: _ProtocolFactory, host: None = None, port: None = None, *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: socket = ..., backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... else: @overload @abstractmethod async def create_server( self, protocol_factory: _ProtocolFactory, host: str | Sequence[str] | None = None, port: int = ..., *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: None = None, backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, ssl_handshake_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... @overload @abstractmethod async def create_server( self, protocol_factory: _ProtocolFactory, host: None = None, port: None = None, *, family: int = AddressFamily.AF_UNSPEC, flags: int = AddressInfo.AI_PASSIVE, sock: socket = ..., backlog: int = 100, ssl: _SSLContext = None, reuse_address: bool | None = None, reuse_port: bool | None = None, ssl_handshake_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... if sys.version_info >= (3, 11): @abstractmethod async def start_tls( self, transport: WriteTransport, protocol: BaseProtocol, sslcontext: ssl.SSLContext, *, server_side: bool = False, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, ) -> Transport | None: ... async def create_unix_server( self, protocol_factory: _ProtocolFactory, path: StrPath | None = None, *, sock: socket | None = None, backlog: int = 100, ssl: _SSLContext = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... else: @abstractmethod async def start_tls( self, transport: BaseTransport, protocol: BaseProtocol, sslcontext: ssl.SSLContext, *, server_side: bool = False, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ) -> Transport | None: ... async def create_unix_server( self, protocol_factory: _ProtocolFactory, path: StrPath | None = None, *, sock: socket | None = None, backlog: int = 100, ssl: _SSLContext = None, ssl_handshake_timeout: float | None = None, start_serving: bool = True, ) -> Server: ... if sys.version_info >= (3, 11): async def connect_accepted_socket( self, protocol_factory: Callable[[], _ProtocolT], sock: socket, *, ssl: _SSLContext = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, ) -> tuple[Transport, _ProtocolT]: ... elif sys.version_info >= (3, 10): async def connect_accepted_socket( self, protocol_factory: Callable[[], _ProtocolT], sock: socket, *, ssl: _SSLContext = None, ssl_handshake_timeout: float | None = None, ) -> tuple[Transport, _ProtocolT]: ... if sys.version_info >= (3, 11): async def create_unix_connection( self, protocol_factory: Callable[[], _ProtocolT], path: str | None = None, *, ssl: _SSLContext = None, sock: socket | None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, ) -> tuple[Transport, _ProtocolT]: ... else: async def create_unix_connection( self, protocol_factory: Callable[[], _ProtocolT], path: str | None = None, *, ssl: _SSLContext = None, sock: socket | None = None, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ) -> tuple[Transport, _ProtocolT]: ... @abstractmethod async def sock_sendfile( self, sock: socket, file: IO[bytes], offset: int = 0, count: int | None = None, *, fallback: bool | None = None ) -> int: ... @abstractmethod async def sendfile( self, transport: WriteTransport, file: IO[bytes], offset: int = 0, count: int | None = None, *, fallback: bool = True ) -> int: ... @abstractmethod async def create_datagram_endpoint( self, protocol_factory: Callable[[], _ProtocolT], local_addr: tuple[str, int] | str | None = None, remote_addr: tuple[str, int] | str | None = None, *, family: int = 0, proto: int = 0, flags: int = 0, reuse_address: bool | None = None, reuse_port: bool | None = None, allow_broadcast: bool | None = None, sock: socket | None = None, ) -> tuple[DatagramTransport, _ProtocolT]: ... # Pipes and subprocesses. @abstractmethod async def connect_read_pipe( self, protocol_factory: Callable[[], _ProtocolT], pipe: Any ) -> tuple[ReadTransport, _ProtocolT]: ... @abstractmethod async def connect_write_pipe( self, protocol_factory: Callable[[], _ProtocolT], pipe: Any ) -> tuple[WriteTransport, _ProtocolT]: ... @abstractmethod async def subprocess_shell( self, protocol_factory: Callable[[], _ProtocolT], cmd: bytes | str, *, stdin: int | IO[Any] | None = -1, stdout: int | IO[Any] | None = -1, stderr: int | IO[Any] | None = -1, universal_newlines: Literal[False] = False, shell: Literal[True] = True, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, **kwargs: Any, ) -> tuple[SubprocessTransport, _ProtocolT]: ... @abstractmethod async def subprocess_exec( self, protocol_factory: Callable[[], _ProtocolT], program: Any, *args: Any, stdin: int | IO[Any] | None = -1, stdout: int | IO[Any] | None = -1, stderr: int | IO[Any] | None = -1, universal_newlines: Literal[False] = False, shell: Literal[False] = False, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, **kwargs: Any, ) -> tuple[SubprocessTransport, _ProtocolT]: ... @abstractmethod def add_reader(self, fd: FileDescriptorLike, callback: Callable[[Unpack[_Ts]], Any], *args: Unpack[_Ts]) -> None: ... @abstractmethod def remove_reader(self, fd: FileDescriptorLike) -> bool: ... @abstractmethod def add_writer(self, fd: FileDescriptorLike, callback: Callable[[Unpack[_Ts]], Any], *args: Unpack[_Ts]) -> None: ... @abstractmethod def remove_writer(self, fd: FileDescriptorLike) -> bool: ... @abstractmethod async def sock_recv(self, sock: socket, nbytes: int) -> bytes: ... @abstractmethod async def sock_recv_into(self, sock: socket, buf: WriteableBuffer) -> int: ... @abstractmethod async def sock_sendall(self, sock: socket, data: ReadableBuffer) -> None: ... @abstractmethod async def sock_connect(self, sock: socket, address: _Address) -> None: ... @abstractmethod async def sock_accept(self, sock: socket) -> tuple[socket, _RetAddress]: ... if sys.version_info >= (3, 11): @abstractmethod async def sock_recvfrom(self, sock: socket, bufsize: int) -> tuple[bytes, _RetAddress]: ... @abstractmethod async def sock_recvfrom_into(self, sock: socket, buf: WriteableBuffer, nbytes: int = 0) -> tuple[int, _RetAddress]: ... @abstractmethod async def sock_sendto(self, sock: socket, data: ReadableBuffer, address: _Address) -> int: ... # Signal handling. @abstractmethod def add_signal_handler(self, sig: int, callback: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts]) -> None: ... @abstractmethod def remove_signal_handler(self, sig: int) -> bool: ... # Error handlers. @abstractmethod def set_exception_handler(self, handler: _ExceptionHandler | None) -> None: ... @abstractmethod def get_exception_handler(self) -> _ExceptionHandler | None: ... @abstractmethod def default_exception_handler(self, context: _Context) -> None: ... @abstractmethod def call_exception_handler(self, context: _Context) -> None: ... # Debug flag management. @abstractmethod def get_debug(self) -> bool: ... @abstractmethod def set_debug(self, enabled: bool) -> None: ... @abstractmethod async def shutdown_default_executor(self) -> None: ... if sys.version_info >= (3, 14): class _AbstractEventLoopPolicy: @abstractmethod def get_event_loop(self) -> AbstractEventLoop: ... @abstractmethod def set_event_loop(self, loop: AbstractEventLoop | None) -> None: ... @abstractmethod def new_event_loop(self) -> AbstractEventLoop: ... else: @type_check_only class _AbstractEventLoopPolicy: @abstractmethod def get_event_loop(self) -> AbstractEventLoop: ... @abstractmethod def set_event_loop(self, loop: AbstractEventLoop | None) -> None: ... @abstractmethod def new_event_loop(self) -> AbstractEventLoop: ... # Child processes handling (Unix only). if sys.version_info >= (3, 12): @abstractmethod @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") def get_child_watcher(self) -> AbstractChildWatcher: ... @abstractmethod @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") def set_child_watcher(self, watcher: AbstractChildWatcher) -> None: ... else: @abstractmethod def get_child_watcher(self) -> AbstractChildWatcher: ... @abstractmethod def set_child_watcher(self, watcher: AbstractChildWatcher) -> None: ... AbstractEventLoopPolicy = _AbstractEventLoopPolicy if sys.version_info >= (3, 14): class _BaseDefaultEventLoopPolicy(_AbstractEventLoopPolicy, metaclass=ABCMeta): def get_event_loop(self) -> AbstractEventLoop: ... def set_event_loop(self, loop: AbstractEventLoop | None) -> None: ... def new_event_loop(self) -> AbstractEventLoop: ... else: class BaseDefaultEventLoopPolicy(_AbstractEventLoopPolicy, metaclass=ABCMeta): def get_event_loop(self) -> AbstractEventLoop: ... def set_event_loop(self, loop: AbstractEventLoop | None) -> None: ... def new_event_loop(self) -> AbstractEventLoop: ... if sys.version_info >= (3, 14): def _get_event_loop_policy() -> _AbstractEventLoopPolicy: ... def _set_event_loop_policy(policy: _AbstractEventLoopPolicy | None) -> None: ... @deprecated("Deprecated since Python 3.14; will be removed in Python 3.16.") def get_event_loop_policy() -> _AbstractEventLoopPolicy: ... @deprecated("Deprecated since Python 3.14; will be removed in Python 3.16.") def set_event_loop_policy(policy: _AbstractEventLoopPolicy | None) -> None: ... else: def get_event_loop_policy() -> _AbstractEventLoopPolicy: ... def set_event_loop_policy(policy: _AbstractEventLoopPolicy | None) -> None: ... def set_event_loop(loop: AbstractEventLoop | None) -> None: ... def new_event_loop() -> AbstractEventLoop: ... if sys.version_info < (3, 14): if sys.version_info >= (3, 12): @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") def get_child_watcher() -> AbstractChildWatcher: ... @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") def set_child_watcher(watcher: AbstractChildWatcher) -> None: ... else: def get_child_watcher() -> AbstractChildWatcher: ... def set_child_watcher(watcher: AbstractChildWatcher) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/exceptions.pyi0000644000175100017510000000221315112307767022732 0ustar00runnerrunnerimport sys # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 11): __all__ = ( "BrokenBarrierError", "CancelledError", "InvalidStateError", "TimeoutError", "IncompleteReadError", "LimitOverrunError", "SendfileNotAvailableError", ) else: __all__ = ( "CancelledError", "InvalidStateError", "TimeoutError", "IncompleteReadError", "LimitOverrunError", "SendfileNotAvailableError", ) class CancelledError(BaseException): ... if sys.version_info >= (3, 11): from builtins import TimeoutError as TimeoutError else: class TimeoutError(Exception): ... class InvalidStateError(Exception): ... class SendfileNotAvailableError(RuntimeError): ... class IncompleteReadError(EOFError): expected: int | None partial: bytes def __init__(self, partial: bytes, expected: int | None) -> None: ... class LimitOverrunError(Exception): consumed: int def __init__(self, message: str, consumed: int) -> None: ... if sys.version_info >= (3, 11): class BrokenBarrierError(RuntimeError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/format_helpers.pyi0000644000175100017510000000251115112307767023564 0ustar00runnerrunnerimport functools import sys import traceback from collections.abc import Iterable from types import FrameType, FunctionType from typing import Any, overload, type_check_only from typing_extensions import TypeAlias @type_check_only class _HasWrapper: __wrapper__: _HasWrapper | FunctionType _FuncType: TypeAlias = FunctionType | _HasWrapper | functools.partial[Any] | functools.partialmethod[Any] @overload def _get_function_source(func: _FuncType) -> tuple[str, int]: ... @overload def _get_function_source(func: object) -> tuple[str, int] | None: ... if sys.version_info >= (3, 13): def _format_callback_source(func: object, args: Iterable[Any], *, debug: bool = False) -> str: ... def _format_args_and_kwargs(args: Iterable[Any], kwargs: dict[str, Any], *, debug: bool = False) -> str: ... def _format_callback( func: object, args: Iterable[Any], kwargs: dict[str, Any], *, debug: bool = False, suffix: str = "" ) -> str: ... else: def _format_callback_source(func: object, args: Iterable[Any]) -> str: ... def _format_args_and_kwargs(args: Iterable[Any], kwargs: dict[str, Any]) -> str: ... def _format_callback(func: object, args: Iterable[Any], kwargs: dict[str, Any], suffix: str = "") -> str: ... def extract_stack(f: FrameType | None = None, limit: int | None = None) -> traceback.StackSummary: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/futures.pyi0000644000175100017510000000132115112307767022245 0ustar00runnerrunnerimport sys from _asyncio import Future as Future from concurrent.futures._base import Future as _ConcurrentFuture from typing import TypeVar from .base_futures import isfuture as isfuture from .events import AbstractEventLoop # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 14): from _asyncio import future_add_to_awaited_by, future_discard_from_awaited_by __all__ = ("Future", "wrap_future", "isfuture", "future_discard_from_awaited_by", "future_add_to_awaited_by") else: __all__ = ("Future", "wrap_future", "isfuture") _T = TypeVar("_T") def wrap_future(future: _ConcurrentFuture[_T] | Future[_T], *, loop: AbstractEventLoop | None = None) -> Future[_T]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/graph.pyi0000644000175100017510000000225215112307767021655 0ustar00runnerrunnerimport sys from _typeshed import SupportsWrite from asyncio import Future from dataclasses import dataclass from types import FrameType from typing import Any, overload if sys.version_info >= (3, 14): __all__ = ("capture_call_graph", "format_call_graph", "print_call_graph", "FrameCallGraphEntry", "FutureCallGraph") @dataclass(frozen=True, slots=True) class FrameCallGraphEntry: frame: FrameType @dataclass(frozen=True, slots=True) class FutureCallGraph: future: Future[Any] call_stack: tuple[FrameCallGraphEntry, ...] awaited_by: tuple[FutureCallGraph, ...] @overload def capture_call_graph(future: None = None, /, *, depth: int = 1, limit: int | None = None) -> FutureCallGraph | None: ... @overload def capture_call_graph(future: Future[Any], /, *, depth: int = 1, limit: int | None = None) -> FutureCallGraph | None: ... def format_call_graph(future: Future[Any] | None = None, /, *, depth: int = 1, limit: int | None = None) -> str: ... def print_call_graph( future: Future[Any] | None = None, /, *, file: SupportsWrite[str] | None = None, depth: int = 1, limit: int | None = None ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/locks.pyi0000644000175100017510000000667215112307767021701 0ustar00runnerrunnerimport enum import sys from _typeshed import Unused from collections import deque from collections.abc import Callable from types import TracebackType from typing import Any, Literal, TypeVar from typing_extensions import Self from .events import AbstractEventLoop from .futures import Future if sys.version_info >= (3, 10): from .mixins import _LoopBoundMixin else: _LoopBoundMixin = object # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 11): __all__ = ("Lock", "Event", "Condition", "Semaphore", "BoundedSemaphore", "Barrier") else: __all__ = ("Lock", "Event", "Condition", "Semaphore", "BoundedSemaphore") _T = TypeVar("_T") class _ContextManagerMixin: async def __aenter__(self) -> None: ... async def __aexit__( self, exc_type: type[BaseException] | None, exc: BaseException | None, tb: TracebackType | None ) -> None: ... class Lock(_ContextManagerMixin, _LoopBoundMixin): _waiters: deque[Future[Any]] | None if sys.version_info >= (3, 10): def __init__(self) -> None: ... else: def __init__(self, *, loop: AbstractEventLoop | None = None) -> None: ... def locked(self) -> bool: ... async def acquire(self) -> Literal[True]: ... def release(self) -> None: ... class Event(_LoopBoundMixin): _waiters: deque[Future[Any]] if sys.version_info >= (3, 10): def __init__(self) -> None: ... else: def __init__(self, *, loop: AbstractEventLoop | None = None) -> None: ... def is_set(self) -> bool: ... def set(self) -> None: ... def clear(self) -> None: ... async def wait(self) -> Literal[True]: ... class Condition(_ContextManagerMixin, _LoopBoundMixin): _waiters: deque[Future[Any]] if sys.version_info >= (3, 10): def __init__(self, lock: Lock | None = None) -> None: ... else: def __init__(self, lock: Lock | None = None, *, loop: AbstractEventLoop | None = None) -> None: ... def locked(self) -> bool: ... async def acquire(self) -> Literal[True]: ... def release(self) -> None: ... async def wait(self) -> Literal[True]: ... async def wait_for(self, predicate: Callable[[], _T]) -> _T: ... def notify(self, n: int = 1) -> None: ... def notify_all(self) -> None: ... class Semaphore(_ContextManagerMixin, _LoopBoundMixin): _value: int _waiters: deque[Future[Any]] | None if sys.version_info >= (3, 10): def __init__(self, value: int = 1) -> None: ... else: def __init__(self, value: int = 1, *, loop: AbstractEventLoop | None = None) -> None: ... def locked(self) -> bool: ... async def acquire(self) -> Literal[True]: ... def release(self) -> None: ... def _wake_up_next(self) -> None: ... class BoundedSemaphore(Semaphore): ... if sys.version_info >= (3, 11): class _BarrierState(enum.Enum): # undocumented FILLING = "filling" DRAINING = "draining" RESETTING = "resetting" BROKEN = "broken" class Barrier(_LoopBoundMixin): def __init__(self, parties: int) -> None: ... async def __aenter__(self) -> Self: ... async def __aexit__(self, *args: Unused) -> None: ... async def wait(self) -> int: ... async def abort(self) -> None: ... async def reset(self) -> None: ... @property def parties(self) -> int: ... @property def n_waiting(self) -> int: ... @property def broken(self) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/log.pyi0000644000175100017510000000004715112307767021335 0ustar00runnerrunnerimport logging logger: logging.Logger ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/mixins.pyi0000644000175100017510000000032715112307767022064 0ustar00runnerrunnerimport sys import threading from typing_extensions import Never _global_lock: threading.Lock class _LoopBoundMixin: if sys.version_info < (3, 11): def __init__(self, *, loop: Never = ...) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/proactor_events.pyi0000644000175100017510000000504615112307767023775 0ustar00runnerrunnerimport sys from collections.abc import Mapping from socket import socket from typing import Any, ClassVar, Literal from . import base_events, constants, events, futures, streams, transports __all__ = ("BaseProactorEventLoop",) class _ProactorBasePipeTransport(transports._FlowControlMixin, transports.BaseTransport): def __init__( self, loop: events.AbstractEventLoop, sock: socket, protocol: streams.StreamReaderProtocol, waiter: futures.Future[Any] | None = None, extra: Mapping[Any, Any] | None = None, server: events.AbstractServer | None = None, ) -> None: ... def __del__(self) -> None: ... class _ProactorReadPipeTransport(_ProactorBasePipeTransport, transports.ReadTransport): if sys.version_info >= (3, 10): def __init__( self, loop: events.AbstractEventLoop, sock: socket, protocol: streams.StreamReaderProtocol, waiter: futures.Future[Any] | None = None, extra: Mapping[Any, Any] | None = None, server: events.AbstractServer | None = None, buffer_size: int = 65536, ) -> None: ... else: def __init__( self, loop: events.AbstractEventLoop, sock: socket, protocol: streams.StreamReaderProtocol, waiter: futures.Future[Any] | None = None, extra: Mapping[Any, Any] | None = None, server: events.AbstractServer | None = None, ) -> None: ... class _ProactorBaseWritePipeTransport(_ProactorBasePipeTransport, transports.WriteTransport): ... class _ProactorWritePipeTransport(_ProactorBaseWritePipeTransport): ... class _ProactorDuplexPipeTransport(_ProactorReadPipeTransport, _ProactorBaseWritePipeTransport, transports.Transport): ... class _ProactorSocketTransport(_ProactorReadPipeTransport, _ProactorBaseWritePipeTransport, transports.Transport): _sendfile_compatible: ClassVar[constants._SendfileMode] def __init__( self, loop: events.AbstractEventLoop, sock: socket, protocol: streams.StreamReaderProtocol, waiter: futures.Future[Any] | None = None, extra: Mapping[Any, Any] | None = None, server: events.AbstractServer | None = None, ) -> None: ... def _set_extra(self, sock: socket) -> None: ... def can_write_eof(self) -> Literal[True]: ... class BaseProactorEventLoop(base_events.BaseEventLoop): def __init__(self, proactor: Any) -> None: ... async def sock_recv(self, sock: socket, n: int) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/protocols.pyi0000644000175100017510000000360715112307767022605 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer from asyncio import transports from typing import Any # Keep asyncio.__all__ updated with any changes to __all__ here __all__ = ("BaseProtocol", "Protocol", "DatagramProtocol", "SubprocessProtocol", "BufferedProtocol") class BaseProtocol: __slots__ = () def connection_made(self, transport: transports.BaseTransport) -> None: ... def connection_lost(self, exc: Exception | None) -> None: ... def pause_writing(self) -> None: ... def resume_writing(self) -> None: ... class Protocol(BaseProtocol): # Need annotation or mypy will complain about 'Cannot determine type of "__slots__" in base class' __slots__: tuple[str, ...] = () def data_received(self, data: bytes) -> None: ... def eof_received(self) -> bool | None: ... class BufferedProtocol(BaseProtocol): __slots__ = () def get_buffer(self, sizehint: int) -> ReadableBuffer: ... def buffer_updated(self, nbytes: int) -> None: ... def eof_received(self) -> bool | None: ... class DatagramProtocol(BaseProtocol): __slots__ = () def connection_made(self, transport: transports.DatagramTransport) -> None: ... # type: ignore[override] # addr can be a tuple[int, int] for some unusual protocols like socket.AF_NETLINK. # Use tuple[str | Any, int] to not cause typechecking issues on most usual cases. # This could be improved by using tuple[AnyOf[str, int], int] if the AnyOf feature is accepted. # See https://github.com/python/typing/issues/566 def datagram_received(self, data: bytes, addr: tuple[str | Any, int]) -> None: ... def error_received(self, exc: Exception) -> None: ... class SubprocessProtocol(BaseProtocol): __slots__: tuple[str, ...] = () def pipe_data_received(self, fd: int, data: bytes) -> None: ... def pipe_connection_lost(self, fd: int, exc: Exception | None) -> None: ... def process_exited(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/queues.pyi0000644000175100017510000000357615112307767022075 0ustar00runnerrunnerimport sys from _typeshed import SupportsRichComparisonT from asyncio.events import AbstractEventLoop from types import GenericAlias from typing import Any, Generic, TypeVar if sys.version_info >= (3, 10): from .mixins import _LoopBoundMixin else: _LoopBoundMixin = object class QueueEmpty(Exception): ... class QueueFull(Exception): ... # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 13): __all__ = ("Queue", "PriorityQueue", "LifoQueue", "QueueFull", "QueueEmpty", "QueueShutDown") else: __all__ = ("Queue", "PriorityQueue", "LifoQueue", "QueueFull", "QueueEmpty") _T = TypeVar("_T") if sys.version_info >= (3, 13): class QueueShutDown(Exception): ... # If Generic[_T] is last and _LoopBoundMixin is object, pyright is unhappy. # We can remove the noqa pragma when dropping 3.9 support. class Queue(Generic[_T], _LoopBoundMixin): # noqa: Y059 if sys.version_info >= (3, 10): def __init__(self, maxsize: int = 0) -> None: ... else: def __init__(self, maxsize: int = 0, *, loop: AbstractEventLoop | None = None) -> None: ... def _init(self, maxsize: int) -> None: ... def _get(self) -> _T: ... def _put(self, item: _T) -> None: ... def _format(self) -> str: ... def qsize(self) -> int: ... @property def maxsize(self) -> int: ... def empty(self) -> bool: ... def full(self) -> bool: ... async def put(self, item: _T) -> None: ... def put_nowait(self, item: _T) -> None: ... async def get(self) -> _T: ... def get_nowait(self) -> _T: ... async def join(self) -> None: ... def task_done(self) -> None: ... def __class_getitem__(cls, type: Any, /) -> GenericAlias: ... if sys.version_info >= (3, 13): def shutdown(self, immediate: bool = False) -> None: ... class PriorityQueue(Queue[SupportsRichComparisonT]): ... class LifoQueue(Queue[_T]): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/runners.pyi0000644000175100017510000000226715112307767022256 0ustar00runnerrunnerimport sys from _typeshed import Unused from collections.abc import Callable, Coroutine from contextvars import Context from typing import Any, TypeVar, final from typing_extensions import Self from .events import AbstractEventLoop # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 11): __all__ = ("Runner", "run") else: __all__ = ("run",) _T = TypeVar("_T") if sys.version_info >= (3, 11): @final class Runner: def __init__(self, *, debug: bool | None = None, loop_factory: Callable[[], AbstractEventLoop] | None = None) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, exc_type: Unused, exc_val: Unused, exc_tb: Unused) -> None: ... def close(self) -> None: ... def get_loop(self) -> AbstractEventLoop: ... def run(self, coro: Coroutine[Any, Any, _T], *, context: Context | None = None) -> _T: ... if sys.version_info >= (3, 12): def run( main: Coroutine[Any, Any, _T], *, debug: bool | None = None, loop_factory: Callable[[], AbstractEventLoop] | None = None ) -> _T: ... else: def run(main: Coroutine[Any, Any, _T], *, debug: bool | None = None) -> _T: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/selector_events.pyi0000644000175100017510000000047315112307767023763 0ustar00runnerrunnerimport selectors from socket import socket from . import base_events __all__ = ("BaseSelectorEventLoop",) class BaseSelectorEventLoop(base_events.BaseEventLoop): def __init__(self, selector: selectors.BaseSelector | None = None) -> None: ... async def sock_recv(self, sock: socket, n: int) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/sslproto.pyi0000644000175100017510000001453115112307767022444 0ustar00runnerrunnerimport ssl import sys from collections import deque from collections.abc import Callable from enum import Enum from typing import Any, ClassVar, Final, Literal from typing_extensions import TypeAlias from . import constants, events, futures, protocols, transports def _create_transport_context(server_side: bool, server_hostname: str | None) -> ssl.SSLContext: ... if sys.version_info >= (3, 11): SSLAgainErrors: tuple[type[ssl.SSLWantReadError], type[ssl.SSLSyscallError]] class SSLProtocolState(Enum): UNWRAPPED = "UNWRAPPED" DO_HANDSHAKE = "DO_HANDSHAKE" WRAPPED = "WRAPPED" FLUSHING = "FLUSHING" SHUTDOWN = "SHUTDOWN" class AppProtocolState(Enum): STATE_INIT = "STATE_INIT" STATE_CON_MADE = "STATE_CON_MADE" STATE_EOF = "STATE_EOF" STATE_CON_LOST = "STATE_CON_LOST" def add_flowcontrol_defaults(high: int | None, low: int | None, kb: int) -> tuple[int, int]: ... else: _UNWRAPPED: Final = "UNWRAPPED" _DO_HANDSHAKE: Final = "DO_HANDSHAKE" _WRAPPED: Final = "WRAPPED" _SHUTDOWN: Final = "SHUTDOWN" if sys.version_info < (3, 11): class _SSLPipe: max_size: ClassVar[int] _context: ssl.SSLContext _server_side: bool _server_hostname: str | None _state: str _incoming: ssl.MemoryBIO _outgoing: ssl.MemoryBIO _sslobj: ssl.SSLObject | None _need_ssldata: bool _handshake_cb: Callable[[BaseException | None], None] | None _shutdown_cb: Callable[[], None] | None def __init__(self, context: ssl.SSLContext, server_side: bool, server_hostname: str | None = None) -> None: ... @property def context(self) -> ssl.SSLContext: ... @property def ssl_object(self) -> ssl.SSLObject | None: ... @property def need_ssldata(self) -> bool: ... @property def wrapped(self) -> bool: ... def do_handshake(self, callback: Callable[[BaseException | None], object] | None = None) -> list[bytes]: ... def shutdown(self, callback: Callable[[], object] | None = None) -> list[bytes]: ... def feed_eof(self) -> None: ... def feed_ssldata(self, data: bytes, only_handshake: bool = False) -> tuple[list[bytes], list[bytes]]: ... def feed_appdata(self, data: bytes, offset: int = 0) -> tuple[list[bytes], int]: ... class _SSLProtocolTransport(transports._FlowControlMixin, transports.Transport): _sendfile_compatible: ClassVar[constants._SendfileMode] _loop: events.AbstractEventLoop if sys.version_info >= (3, 11): _ssl_protocol: SSLProtocol | None else: _ssl_protocol: SSLProtocol _closed: bool def __init__(self, loop: events.AbstractEventLoop, ssl_protocol: SSLProtocol) -> None: ... def get_extra_info(self, name: str, default: Any | None = None) -> dict[str, Any]: ... @property def _protocol_paused(self) -> bool: ... def write(self, data: bytes | bytearray | memoryview[Any]) -> None: ... # any memoryview format or shape def can_write_eof(self) -> Literal[False]: ... if sys.version_info >= (3, 11): def get_write_buffer_limits(self) -> tuple[int, int]: ... def get_read_buffer_limits(self) -> tuple[int, int]: ... def set_read_buffer_limits(self, high: int | None = None, low: int | None = None) -> None: ... def get_read_buffer_size(self) -> int: ... def __del__(self) -> None: ... if sys.version_info >= (3, 11): _SSLProtocolBase: TypeAlias = protocols.BufferedProtocol else: _SSLProtocolBase: TypeAlias = protocols.Protocol class SSLProtocol(_SSLProtocolBase): _server_side: bool _server_hostname: str | None _sslcontext: ssl.SSLContext _extra: dict[str, Any] _write_backlog: deque[tuple[bytes, int]] _write_buffer_size: int _waiter: futures.Future[Any] _loop: events.AbstractEventLoop _app_transport: _SSLProtocolTransport _transport: transports.BaseTransport | None _ssl_handshake_timeout: int | None _app_protocol: protocols.BaseProtocol _app_protocol_is_buffer: bool if sys.version_info >= (3, 11): max_size: ClassVar[int] else: _sslpipe: _SSLPipe | None _session_established: bool _call_connection_made: bool _in_handshake: bool _in_shutdown: bool if sys.version_info >= (3, 11): def __init__( self, loop: events.AbstractEventLoop, app_protocol: protocols.BaseProtocol, sslcontext: ssl.SSLContext, waiter: futures.Future[Any], server_side: bool = False, server_hostname: str | None = None, call_connection_made: bool = True, ssl_handshake_timeout: int | None = None, ssl_shutdown_timeout: float | None = None, ) -> None: ... else: def __init__( self, loop: events.AbstractEventLoop, app_protocol: protocols.BaseProtocol, sslcontext: ssl.SSLContext, waiter: futures.Future[Any], server_side: bool = False, server_hostname: str | None = None, call_connection_made: bool = True, ssl_handshake_timeout: int | None = None, ) -> None: ... def _set_app_protocol(self, app_protocol: protocols.BaseProtocol) -> None: ... def _wakeup_waiter(self, exc: BaseException | None = None) -> None: ... def connection_lost(self, exc: BaseException | None) -> None: ... def eof_received(self) -> None: ... def _get_extra_info(self, name: str, default: Any | None = None) -> Any: ... def _start_shutdown(self) -> None: ... if sys.version_info >= (3, 11): def _write_appdata(self, list_of_data: list[bytes]) -> None: ... else: def _write_appdata(self, data: bytes) -> None: ... def _start_handshake(self) -> None: ... def _check_handshake_timeout(self) -> None: ... def _on_handshake_complete(self, handshake_exc: BaseException | None) -> None: ... def _fatal_error(self, exc: BaseException, message: str = "Fatal error on transport") -> None: ... if sys.version_info >= (3, 11): def _abort(self, exc: BaseException | None) -> None: ... def get_buffer(self, n: int) -> memoryview: ... else: def _abort(self) -> None: ... def _finalize(self) -> None: ... def _process_write_backlog(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/staggered.pyi0000644000175100017510000000052515112307767022522 0ustar00runnerrunnerfrom collections.abc import Awaitable, Callable, Iterable from typing import Any from . import events __all__ = ("staggered_race",) async def staggered_race( coro_fns: Iterable[Callable[[], Awaitable[Any]]], delay: float | None, *, loop: events.AbstractEventLoop | None = None ) -> tuple[Any, int | None, list[Exception | None]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/streams.pyi0000644000175100017510000001356715112307767022245 0ustar00runnerrunnerimport ssl import sys from _typeshed import ReadableBuffer, StrPath from collections.abc import Awaitable, Callable, Iterable, Sequence, Sized from types import ModuleType from typing import Any, Protocol, SupportsIndex, type_check_only from typing_extensions import Self, TypeAlias from . import events, protocols, transports from .base_events import Server # Keep asyncio.__all__ updated with any changes to __all__ here if sys.platform == "win32": __all__ = ("StreamReader", "StreamWriter", "StreamReaderProtocol", "open_connection", "start_server") else: __all__ = ( "StreamReader", "StreamWriter", "StreamReaderProtocol", "open_connection", "start_server", "open_unix_connection", "start_unix_server", ) _ClientConnectedCallback: TypeAlias = Callable[[StreamReader, StreamWriter], Awaitable[None] | None] @type_check_only class _ReaduntilBuffer(ReadableBuffer, Sized, Protocol): ... if sys.version_info >= (3, 10): async def open_connection( host: str | None = None, port: int | str | None = None, *, limit: int = 65536, ssl_handshake_timeout: float | None = None, **kwds: Any, ) -> tuple[StreamReader, StreamWriter]: ... async def start_server( client_connected_cb: _ClientConnectedCallback, host: str | Sequence[str] | None = None, port: int | str | None = None, *, limit: int = 65536, ssl_handshake_timeout: float | None = None, **kwds: Any, ) -> Server: ... else: async def open_connection( host: str | None = None, port: int | str | None = None, *, loop: events.AbstractEventLoop | None = None, limit: int = 65536, ssl_handshake_timeout: float | None = None, **kwds: Any, ) -> tuple[StreamReader, StreamWriter]: ... async def start_server( client_connected_cb: _ClientConnectedCallback, host: str | None = None, port: int | str | None = None, *, loop: events.AbstractEventLoop | None = None, limit: int = 65536, ssl_handshake_timeout: float | None = None, **kwds: Any, ) -> Server: ... if sys.platform != "win32": if sys.version_info >= (3, 10): async def open_unix_connection( path: StrPath | None = None, *, limit: int = 65536, **kwds: Any ) -> tuple[StreamReader, StreamWriter]: ... async def start_unix_server( client_connected_cb: _ClientConnectedCallback, path: StrPath | None = None, *, limit: int = 65536, **kwds: Any ) -> Server: ... else: async def open_unix_connection( path: StrPath | None = None, *, loop: events.AbstractEventLoop | None = None, limit: int = 65536, **kwds: Any ) -> tuple[StreamReader, StreamWriter]: ... async def start_unix_server( client_connected_cb: _ClientConnectedCallback, path: StrPath | None = None, *, loop: events.AbstractEventLoop | None = None, limit: int = 65536, **kwds: Any, ) -> Server: ... class FlowControlMixin(protocols.Protocol): def __init__(self, loop: events.AbstractEventLoop | None = None) -> None: ... class StreamReaderProtocol(FlowControlMixin, protocols.Protocol): def __init__( self, stream_reader: StreamReader, client_connected_cb: _ClientConnectedCallback | None = None, loop: events.AbstractEventLoop | None = None, ) -> None: ... def __del__(self) -> None: ... class StreamWriter: def __init__( self, transport: transports.WriteTransport, protocol: protocols.BaseProtocol, reader: StreamReader | None, loop: events.AbstractEventLoop, ) -> None: ... @property def transport(self) -> transports.WriteTransport: ... def write(self, data: bytes | bytearray | memoryview) -> None: ... def writelines(self, data: Iterable[bytes | bytearray | memoryview]) -> None: ... def write_eof(self) -> None: ... def can_write_eof(self) -> bool: ... def close(self) -> None: ... def is_closing(self) -> bool: ... async def wait_closed(self) -> None: ... def get_extra_info(self, name: str, default: Any = None) -> Any: ... async def drain(self) -> None: ... if sys.version_info >= (3, 12): async def start_tls( self, sslcontext: ssl.SSLContext, *, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, ) -> None: ... elif sys.version_info >= (3, 11): async def start_tls( self, sslcontext: ssl.SSLContext, *, server_hostname: str | None = None, ssl_handshake_timeout: float | None = None ) -> None: ... if sys.version_info >= (3, 13): def __del__(self, warnings: ModuleType = ...) -> None: ... elif sys.version_info >= (3, 11): def __del__(self) -> None: ... class StreamReader: def __init__(self, limit: int = 65536, loop: events.AbstractEventLoop | None = None) -> None: ... def exception(self) -> Exception: ... def set_exception(self, exc: Exception) -> None: ... def set_transport(self, transport: transports.BaseTransport) -> None: ... def feed_eof(self) -> None: ... def at_eof(self) -> bool: ... def feed_data(self, data: Iterable[SupportsIndex]) -> None: ... async def readline(self) -> bytes: ... if sys.version_info >= (3, 13): async def readuntil(self, separator: _ReaduntilBuffer | tuple[_ReaduntilBuffer, ...] = b"\n") -> bytes: ... else: async def readuntil(self, separator: _ReaduntilBuffer = b"\n") -> bytes: ... async def read(self, n: int = -1) -> bytes: ... async def readexactly(self, n: int) -> bytes: ... def __aiter__(self) -> Self: ... async def __anext__(self) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/subprocess.pyi0000644000175100017510000002211715112307767022746 0ustar00runnerrunnerimport subprocess import sys from _typeshed import StrOrBytesPath from asyncio import events, protocols, streams, transports from collections.abc import Callable, Collection from typing import IO, Any, Literal # Keep asyncio.__all__ updated with any changes to __all__ here __all__ = ("create_subprocess_exec", "create_subprocess_shell") PIPE: int STDOUT: int DEVNULL: int class SubprocessStreamProtocol(streams.FlowControlMixin, protocols.SubprocessProtocol): stdin: streams.StreamWriter | None stdout: streams.StreamReader | None stderr: streams.StreamReader | None def __init__(self, limit: int, loop: events.AbstractEventLoop) -> None: ... def pipe_data_received(self, fd: int, data: bytes | str) -> None: ... class Process: stdin: streams.StreamWriter | None stdout: streams.StreamReader | None stderr: streams.StreamReader | None pid: int def __init__( self, transport: transports.BaseTransport, protocol: protocols.BaseProtocol, loop: events.AbstractEventLoop ) -> None: ... @property def returncode(self) -> int | None: ... async def wait(self) -> int: ... def send_signal(self, signal: int) -> None: ... def terminate(self) -> None: ... def kill(self) -> None: ... async def communicate(self, input: bytes | bytearray | memoryview | None = None) -> tuple[bytes, bytes]: ... if sys.version_info >= (3, 11): async def create_subprocess_shell( cmd: str | bytes, stdin: int | IO[Any] | None = None, stdout: int | IO[Any] | None = None, stderr: int | IO[Any] | None = None, limit: int = 65536, *, # These parameters are forced to these values by BaseEventLoop.subprocess_shell universal_newlines: Literal[False] = False, shell: Literal[True] = True, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, # These parameters are taken by subprocess.Popen, which this ultimately delegates to executable: StrOrBytesPath | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, cwd: StrOrBytesPath | None = None, env: subprocess._ENV | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), group: None | str | int = None, extra_groups: None | Collection[str | int] = None, user: None | str | int = None, umask: int = -1, process_group: int | None = None, pipesize: int = -1, ) -> Process: ... async def create_subprocess_exec( program: StrOrBytesPath, *args: StrOrBytesPath, stdin: int | IO[Any] | None = None, stdout: int | IO[Any] | None = None, stderr: int | IO[Any] | None = None, limit: int = 65536, # These parameters are forced to these values by BaseEventLoop.subprocess_exec universal_newlines: Literal[False] = False, shell: Literal[False] = False, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, # These parameters are taken by subprocess.Popen, which this ultimately delegates to executable: StrOrBytesPath | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, cwd: StrOrBytesPath | None = None, env: subprocess._ENV | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), group: None | str | int = None, extra_groups: None | Collection[str | int] = None, user: None | str | int = None, umask: int = -1, process_group: int | None = None, pipesize: int = -1, ) -> Process: ... elif sys.version_info >= (3, 10): async def create_subprocess_shell( cmd: str | bytes, stdin: int | IO[Any] | None = None, stdout: int | IO[Any] | None = None, stderr: int | IO[Any] | None = None, limit: int = 65536, *, # These parameters are forced to these values by BaseEventLoop.subprocess_shell universal_newlines: Literal[False] = False, shell: Literal[True] = True, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, # These parameters are taken by subprocess.Popen, which this ultimately delegates to executable: StrOrBytesPath | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, cwd: StrOrBytesPath | None = None, env: subprocess._ENV | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), group: None | str | int = None, extra_groups: None | Collection[str | int] = None, user: None | str | int = None, umask: int = -1, pipesize: int = -1, ) -> Process: ... async def create_subprocess_exec( program: StrOrBytesPath, *args: StrOrBytesPath, stdin: int | IO[Any] | None = None, stdout: int | IO[Any] | None = None, stderr: int | IO[Any] | None = None, limit: int = 65536, # These parameters are forced to these values by BaseEventLoop.subprocess_exec universal_newlines: Literal[False] = False, shell: Literal[False] = False, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, # These parameters are taken by subprocess.Popen, which this ultimately delegates to executable: StrOrBytesPath | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, cwd: StrOrBytesPath | None = None, env: subprocess._ENV | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), group: None | str | int = None, extra_groups: None | Collection[str | int] = None, user: None | str | int = None, umask: int = -1, pipesize: int = -1, ) -> Process: ... else: # >= 3.9 async def create_subprocess_shell( cmd: str | bytes, stdin: int | IO[Any] | None = None, stdout: int | IO[Any] | None = None, stderr: int | IO[Any] | None = None, loop: events.AbstractEventLoop | None = None, limit: int = 65536, *, # These parameters are forced to these values by BaseEventLoop.subprocess_shell universal_newlines: Literal[False] = False, shell: Literal[True] = True, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, # These parameters are taken by subprocess.Popen, which this ultimately delegates to executable: StrOrBytesPath | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, cwd: StrOrBytesPath | None = None, env: subprocess._ENV | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), group: None | str | int = None, extra_groups: None | Collection[str | int] = None, user: None | str | int = None, umask: int = -1, ) -> Process: ... async def create_subprocess_exec( program: StrOrBytesPath, *args: StrOrBytesPath, stdin: int | IO[Any] | None = None, stdout: int | IO[Any] | None = None, stderr: int | IO[Any] | None = None, loop: events.AbstractEventLoop | None = None, limit: int = 65536, # These parameters are forced to these values by BaseEventLoop.subprocess_exec universal_newlines: Literal[False] = False, shell: Literal[False] = False, bufsize: Literal[0] = 0, encoding: None = None, errors: None = None, text: Literal[False] | None = None, # These parameters are taken by subprocess.Popen, which this ultimately delegates to executable: StrOrBytesPath | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, cwd: StrOrBytesPath | None = None, env: subprocess._ENV | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), group: None | str | int = None, extra_groups: None | Collection[str | int] = None, user: None | str | int = None, umask: int = -1, ) -> Process: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/taskgroups.pyi0000644000175100017510000000153215112307767022756 0ustar00runnerrunnerimport sys from contextvars import Context from types import TracebackType from typing import Any, TypeVar from typing_extensions import Self from . import _CoroutineLike from .events import AbstractEventLoop from .tasks import Task # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 12): __all__ = ("TaskGroup",) else: __all__ = ["TaskGroup"] _T = TypeVar("_T") class TaskGroup: _loop: AbstractEventLoop | None _tasks: set[Task[Any]] async def __aenter__(self) -> Self: ... async def __aexit__(self, et: type[BaseException] | None, exc: BaseException | None, tb: TracebackType | None) -> None: ... def create_task(self, coro: _CoroutineLike[_T], *, name: str | None = None, context: Context | None = None) -> Task[_T]: ... def _on_task_done(self, task: Task[object]) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/tasks.pyi0000644000175100017510000004130715112307767021705 0ustar00runnerrunnerimport concurrent.futures import sys from _asyncio import ( Task as Task, _enter_task as _enter_task, _leave_task as _leave_task, _register_task as _register_task, _unregister_task as _unregister_task, ) from collections.abc import AsyncIterator, Awaitable, Coroutine, Generator, Iterable, Iterator from typing import Any, Final, Literal, Protocol, TypeVar, overload, type_check_only from typing_extensions import TypeAlias from . import _CoroutineLike from .events import AbstractEventLoop from .futures import Future if sys.version_info >= (3, 11): from contextvars import Context # Keep asyncio.__all__ updated with any changes to __all__ here if sys.version_info >= (3, 12): __all__ = ( "Task", "create_task", "FIRST_COMPLETED", "FIRST_EXCEPTION", "ALL_COMPLETED", "wait", "wait_for", "as_completed", "sleep", "gather", "shield", "ensure_future", "run_coroutine_threadsafe", "current_task", "all_tasks", "create_eager_task_factory", "eager_task_factory", "_register_task", "_unregister_task", "_enter_task", "_leave_task", ) else: __all__ = ( "Task", "create_task", "FIRST_COMPLETED", "FIRST_EXCEPTION", "ALL_COMPLETED", "wait", "wait_for", "as_completed", "sleep", "gather", "shield", "ensure_future", "run_coroutine_threadsafe", "current_task", "all_tasks", "_register_task", "_unregister_task", "_enter_task", "_leave_task", ) _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _T3 = TypeVar("_T3") _T4 = TypeVar("_T4") _T5 = TypeVar("_T5") _T6 = TypeVar("_T6") _FT = TypeVar("_FT", bound=Future[Any]) if sys.version_info >= (3, 12): _FutureLike: TypeAlias = Future[_T] | Awaitable[_T] else: _FutureLike: TypeAlias = Future[_T] | Generator[Any, None, _T] | Awaitable[_T] _TaskYieldType: TypeAlias = Future[object] | None FIRST_COMPLETED: Final = concurrent.futures.FIRST_COMPLETED FIRST_EXCEPTION: Final = concurrent.futures.FIRST_EXCEPTION ALL_COMPLETED: Final = concurrent.futures.ALL_COMPLETED if sys.version_info >= (3, 13): @type_check_only class _SyncAndAsyncIterator(Iterator[_T_co], AsyncIterator[_T_co], Protocol[_T_co]): ... def as_completed(fs: Iterable[_FutureLike[_T]], *, timeout: float | None = None) -> _SyncAndAsyncIterator[Future[_T]]: ... elif sys.version_info >= (3, 10): def as_completed(fs: Iterable[_FutureLike[_T]], *, timeout: float | None = None) -> Iterator[Future[_T]]: ... else: def as_completed( fs: Iterable[_FutureLike[_T]], *, loop: AbstractEventLoop | None = None, timeout: float | None = None ) -> Iterator[Future[_T]]: ... @overload def ensure_future(coro_or_future: _FT, *, loop: AbstractEventLoop | None = None) -> _FT: ... # type: ignore[overload-overlap] @overload def ensure_future(coro_or_future: Awaitable[_T], *, loop: AbstractEventLoop | None = None) -> Task[_T]: ... # `gather()` actually returns a list with length equal to the number # of tasks passed; however, Tuple is used similar to the annotation for # zip() because typing does not support variadic type variables. See # typing PR #1550 for discussion. # # N.B. Having overlapping overloads is the only way to get acceptable type inference in all edge cases. if sys.version_info >= (3, 10): @overload def gather(coro_or_future1: _FutureLike[_T1], /, *, return_exceptions: Literal[False] = False) -> Future[tuple[_T1]]: ... # type: ignore[overload-overlap] @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], /, *, return_exceptions: Literal[False] = False ) -> Future[tuple[_T1, _T2]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], /, *, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2, _T3]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], /, *, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2, _T3, _T4]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], coro_or_future5: _FutureLike[_T5], /, *, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2, _T3, _T4, _T5]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], coro_or_future5: _FutureLike[_T5], coro_or_future6: _FutureLike[_T6], /, *, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2, _T3, _T4, _T5, _T6]]: ... @overload def gather(*coros_or_futures: _FutureLike[_T], return_exceptions: Literal[False] = False) -> Future[list[_T]]: ... # type: ignore[overload-overlap] @overload def gather(coro_or_future1: _FutureLike[_T1], /, *, return_exceptions: bool) -> Future[tuple[_T1 | BaseException]]: ... @overload def gather( coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], /, *, return_exceptions: bool ) -> Future[tuple[_T1 | BaseException, _T2 | BaseException]]: ... @overload def gather( coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], /, *, return_exceptions: bool, ) -> Future[tuple[_T1 | BaseException, _T2 | BaseException, _T3 | BaseException]]: ... @overload def gather( coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], /, *, return_exceptions: bool, ) -> Future[tuple[_T1 | BaseException, _T2 | BaseException, _T3 | BaseException, _T4 | BaseException]]: ... @overload def gather( coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], coro_or_future5: _FutureLike[_T5], /, *, return_exceptions: bool, ) -> Future[ tuple[_T1 | BaseException, _T2 | BaseException, _T3 | BaseException, _T4 | BaseException, _T5 | BaseException] ]: ... @overload def gather( coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], coro_or_future5: _FutureLike[_T5], coro_or_future6: _FutureLike[_T6], /, *, return_exceptions: bool, ) -> Future[ tuple[ _T1 | BaseException, _T2 | BaseException, _T3 | BaseException, _T4 | BaseException, _T5 | BaseException, _T6 | BaseException, ] ]: ... @overload def gather(*coros_or_futures: _FutureLike[_T], return_exceptions: bool) -> Future[list[_T | BaseException]]: ... else: @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], /, *, loop: AbstractEventLoop | None = None, return_exceptions: Literal[False] = False ) -> Future[tuple[_T1]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], /, *, loop: AbstractEventLoop | None = None, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], /, *, loop: AbstractEventLoop | None = None, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2, _T3]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], /, *, loop: AbstractEventLoop | None = None, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2, _T3, _T4]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], coro_or_future5: _FutureLike[_T5], /, *, loop: AbstractEventLoop | None = None, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2, _T3, _T4, _T5]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], coro_or_future5: _FutureLike[_T5], coro_or_future6: _FutureLike[_T6], /, *, loop: AbstractEventLoop | None = None, return_exceptions: Literal[False] = False, ) -> Future[tuple[_T1, _T2, _T3, _T4, _T5, _T6]]: ... @overload def gather( # type: ignore[overload-overlap] *coros_or_futures: _FutureLike[_T], loop: AbstractEventLoop | None = None, return_exceptions: Literal[False] = False ) -> Future[list[_T]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], /, *, loop: AbstractEventLoop | None = None, return_exceptions: bool ) -> Future[tuple[_T1 | BaseException]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], /, *, loop: AbstractEventLoop | None = None, return_exceptions: bool, ) -> Future[tuple[_T1 | BaseException, _T2 | BaseException]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], /, *, loop: AbstractEventLoop | None = None, return_exceptions: bool, ) -> Future[tuple[_T1 | BaseException, _T2 | BaseException, _T3 | BaseException]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], /, *, loop: AbstractEventLoop | None = None, return_exceptions: bool, ) -> Future[tuple[_T1 | BaseException, _T2 | BaseException, _T3 | BaseException, _T4 | BaseException]]: ... @overload def gather( # type: ignore[overload-overlap] coro_or_future1: _FutureLike[_T1], coro_or_future2: _FutureLike[_T2], coro_or_future3: _FutureLike[_T3], coro_or_future4: _FutureLike[_T4], coro_or_future5: _FutureLike[_T5], coro_or_future6: _FutureLike[_T6], /, *, loop: AbstractEventLoop | None = None, return_exceptions: bool, ) -> Future[ tuple[ _T1 | BaseException, _T2 | BaseException, _T3 | BaseException, _T4 | BaseException, _T5 | BaseException, _T6 | BaseException, ] ]: ... @overload def gather( *coros_or_futures: _FutureLike[_T], loop: AbstractEventLoop | None = None, return_exceptions: bool ) -> Future[list[_T | BaseException]]: ... # unlike some asyncio apis, This does strict runtime checking of actually being a coroutine, not of any future-like. def run_coroutine_threadsafe(coro: Coroutine[Any, Any, _T], loop: AbstractEventLoop) -> concurrent.futures.Future[_T]: ... if sys.version_info >= (3, 10): def shield(arg: _FutureLike[_T]) -> Future[_T]: ... @overload async def sleep(delay: float) -> None: ... @overload async def sleep(delay: float, result: _T) -> _T: ... async def wait_for(fut: _FutureLike[_T], timeout: float | None) -> _T: ... else: def shield(arg: _FutureLike[_T], *, loop: AbstractEventLoop | None = None) -> Future[_T]: ... @overload async def sleep(delay: float, *, loop: AbstractEventLoop | None = None) -> None: ... @overload async def sleep(delay: float, result: _T, *, loop: AbstractEventLoop | None = None) -> _T: ... async def wait_for(fut: _FutureLike[_T], timeout: float | None, *, loop: AbstractEventLoop | None = None) -> _T: ... if sys.version_info >= (3, 11): @overload async def wait( fs: Iterable[_FT], *, timeout: float | None = None, return_when: str = "ALL_COMPLETED" ) -> tuple[set[_FT], set[_FT]]: ... @overload async def wait( fs: Iterable[Task[_T]], *, timeout: float | None = None, return_when: str = "ALL_COMPLETED" ) -> tuple[set[Task[_T]], set[Task[_T]]]: ... elif sys.version_info >= (3, 10): @overload async def wait( # type: ignore[overload-overlap] fs: Iterable[_FT], *, timeout: float | None = None, return_when: str = "ALL_COMPLETED" ) -> tuple[set[_FT], set[_FT]]: ... @overload async def wait( fs: Iterable[Awaitable[_T]], *, timeout: float | None = None, return_when: str = "ALL_COMPLETED" ) -> tuple[set[Task[_T]], set[Task[_T]]]: ... else: @overload async def wait( # type: ignore[overload-overlap] fs: Iterable[_FT], *, loop: AbstractEventLoop | None = None, timeout: float | None = None, return_when: str = "ALL_COMPLETED", ) -> tuple[set[_FT], set[_FT]]: ... @overload async def wait( fs: Iterable[Awaitable[_T]], *, loop: AbstractEventLoop | None = None, timeout: float | None = None, return_when: str = "ALL_COMPLETED", ) -> tuple[set[Task[_T]], set[Task[_T]]]: ... if sys.version_info >= (3, 12): _TaskCompatibleCoro: TypeAlias = Coroutine[Any, Any, _T_co] else: _TaskCompatibleCoro: TypeAlias = Generator[_TaskYieldType, None, _T_co] | Coroutine[Any, Any, _T_co] def all_tasks(loop: AbstractEventLoop | None = None) -> set[Task[Any]]: ... if sys.version_info >= (3, 11): def create_task(coro: _CoroutineLike[_T], *, name: str | None = None, context: Context | None = None) -> Task[_T]: ... else: def create_task(coro: _CoroutineLike[_T], *, name: str | None = None) -> Task[_T]: ... if sys.version_info >= (3, 12): from _asyncio import current_task as current_task else: def current_task(loop: AbstractEventLoop | None = None) -> Task[Any] | None: ... if sys.version_info >= (3, 14): def eager_task_factory( loop: AbstractEventLoop | None, coro: _TaskCompatibleCoro[_T_co], *, name: str | None = None, context: Context | None = None, eager_start: bool = True, ) -> Task[_T_co]: ... elif sys.version_info >= (3, 12): def eager_task_factory( loop: AbstractEventLoop | None, coro: _TaskCompatibleCoro[_T_co], *, name: str | None = None, context: Context | None = None, ) -> Task[_T_co]: ... if sys.version_info >= (3, 12): _TaskT_co = TypeVar("_TaskT_co", bound=Task[Any], covariant=True) @type_check_only class _CustomTaskConstructor(Protocol[_TaskT_co]): def __call__( self, coro: _TaskCompatibleCoro[Any], /, *, loop: AbstractEventLoop, name: str | None, context: Context | None, eager_start: bool, ) -> _TaskT_co: ... @type_check_only class _EagerTaskFactoryType(Protocol[_TaskT_co]): def __call__( self, loop: AbstractEventLoop, coro: _TaskCompatibleCoro[Any], *, name: str | None = None, context: Context | None = None, ) -> _TaskT_co: ... def create_eager_task_factory( custom_task_constructor: _CustomTaskConstructor[_TaskT_co], ) -> _EagerTaskFactoryType[_TaskT_co]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/threads.pyi0000644000175100017510000000051215112307767022203 0ustar00runnerrunnerfrom collections.abc import Callable from typing import TypeVar from typing_extensions import ParamSpec # Keep asyncio.__all__ updated with any changes to __all__ here __all__ = ("to_thread",) _P = ParamSpec("_P") _R = TypeVar("_R") async def to_thread(func: Callable[_P, _R], /, *args: _P.args, **kwargs: _P.kwargs) -> _R: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/timeouts.pyi0000644000175100017510000000131515112307767022424 0ustar00runnerrunnerfrom types import TracebackType from typing import final from typing_extensions import Self # Keep asyncio.__all__ updated with any changes to __all__ here __all__ = ("Timeout", "timeout", "timeout_at") @final class Timeout: def __init__(self, when: float | None) -> None: ... def when(self) -> float | None: ... def reschedule(self, when: float | None) -> None: ... def expired(self) -> bool: ... async def __aenter__(self) -> Self: ... async def __aexit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def timeout(delay: float | None) -> Timeout: ... def timeout_at(when: float | None) -> Timeout: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/tools.pyi0000644000175100017510000000272115112307767021715 0ustar00runnerrunnerimport sys from collections.abc import Iterable from enum import Enum from typing import NamedTuple, SupportsIndex, type_check_only @type_check_only class _AwaitedInfo(NamedTuple): # AwaitedInfo_Type from _remote_debugging thread_id: int awaited_by: list[_TaskInfo] @type_check_only class _TaskInfo(NamedTuple): # TaskInfo_Type from _remote_debugging task_id: int task_name: str coroutine_stack: list[_CoroInfo] awaited_by: list[_CoroInfo] @type_check_only class _CoroInfo(NamedTuple): # CoroInfo_Type from _remote_debugging call_stack: list[_FrameInfo] task_name: int | str @type_check_only class _FrameInfo(NamedTuple): # FrameInfo_Type from _remote_debugging filename: str lineno: int funcname: str class NodeType(Enum): COROUTINE = 1 TASK = 2 class CycleFoundException(Exception): cycles: list[list[int]] id2name: dict[int, str] def __init__(self, cycles: list[list[int]], id2name: dict[int, str]) -> None: ... def get_all_awaited_by(pid: SupportsIndex) -> list[_AwaitedInfo]: ... def build_async_tree(result: Iterable[_AwaitedInfo], task_emoji: str = "(T)", cor_emoji: str = "") -> list[list[str]]: ... def build_task_table(result: Iterable[_AwaitedInfo]) -> list[list[int | str]]: ... if sys.version_info >= (3, 14): def exit_with_permission_help_text() -> None: ... def display_awaited_by_tasks_table(pid: SupportsIndex) -> None: ... def display_awaited_by_tasks_tree(pid: SupportsIndex) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/transports.pyi0000644000175100017510000000452615112307767023001 0ustar00runnerrunnerfrom asyncio.events import AbstractEventLoop from asyncio.protocols import BaseProtocol from collections.abc import Iterable, Mapping from socket import _Address from typing import Any # Keep asyncio.__all__ updated with any changes to __all__ here __all__ = ("BaseTransport", "ReadTransport", "WriteTransport", "Transport", "DatagramTransport", "SubprocessTransport") class BaseTransport: __slots__ = ("_extra",) def __init__(self, extra: Mapping[str, Any] | None = None) -> None: ... def get_extra_info(self, name: str, default: Any = None) -> Any: ... def is_closing(self) -> bool: ... def close(self) -> None: ... def set_protocol(self, protocol: BaseProtocol) -> None: ... def get_protocol(self) -> BaseProtocol: ... class ReadTransport(BaseTransport): __slots__ = () def is_reading(self) -> bool: ... def pause_reading(self) -> None: ... def resume_reading(self) -> None: ... class WriteTransport(BaseTransport): __slots__ = () def set_write_buffer_limits(self, high: int | None = None, low: int | None = None) -> None: ... def get_write_buffer_size(self) -> int: ... def get_write_buffer_limits(self) -> tuple[int, int]: ... def write(self, data: bytes | bytearray | memoryview[Any]) -> None: ... # any memoryview format or shape def writelines( self, list_of_data: Iterable[bytes | bytearray | memoryview[Any]] ) -> None: ... # any memoryview format or shape def write_eof(self) -> None: ... def can_write_eof(self) -> bool: ... def abort(self) -> None: ... class Transport(ReadTransport, WriteTransport): __slots__ = () class DatagramTransport(BaseTransport): __slots__ = () def sendto(self, data: bytes | bytearray | memoryview, addr: _Address | None = None) -> None: ... def abort(self) -> None: ... class SubprocessTransport(BaseTransport): __slots__ = () def get_pid(self) -> int: ... def get_returncode(self) -> int | None: ... def get_pipe_transport(self, fd: int) -> BaseTransport | None: ... def send_signal(self, signal: int) -> None: ... def terminate(self) -> None: ... def kill(self) -> None: ... class _FlowControlMixin(Transport): __slots__ = ("_loop", "_protocol_paused", "_high_water", "_low_water") def __init__(self, extra: Mapping[str, Any] | None = None, loop: AbstractEventLoop | None = None) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/trsock.pyi0000644000175100017510000001371715112307767022071 0ustar00runnerrunnerimport socket import sys from _typeshed import ReadableBuffer from builtins import type as Type # alias to avoid name clashes with property named "type" from collections.abc import Iterable from types import TracebackType from typing import Any, BinaryIO, NoReturn, overload from typing_extensions import TypeAlias, deprecated # These are based in socket, maybe move them out into _typeshed.pyi or such _Address: TypeAlias = socket._Address _RetAddress: TypeAlias = Any _WriteBuffer: TypeAlias = bytearray | memoryview _CMSG: TypeAlias = tuple[int, int, bytes] class TransportSocket: __slots__ = ("_sock",) def __init__(self, sock: socket.socket) -> None: ... @property def family(self) -> int: ... @property def type(self) -> int: ... @property def proto(self) -> int: ... def __getstate__(self) -> NoReturn: ... def fileno(self) -> int: ... def dup(self) -> socket.socket: ... def get_inheritable(self) -> bool: ... def shutdown(self, how: int) -> None: ... @overload def getsockopt(self, level: int, optname: int) -> int: ... @overload def getsockopt(self, level: int, optname: int, buflen: int) -> bytes: ... @overload def setsockopt(self, level: int, optname: int, value: int | ReadableBuffer) -> None: ... @overload def setsockopt(self, level: int, optname: int, value: None, optlen: int) -> None: ... def getpeername(self) -> _RetAddress: ... def getsockname(self) -> _RetAddress: ... def getsockbyname(self) -> NoReturn: ... # This method doesn't exist on socket, yet is passed through? def settimeout(self, value: float | None) -> None: ... def gettimeout(self) -> float | None: ... def setblocking(self, flag: bool) -> None: ... if sys.version_info < (3, 11): def _na(self, what: str) -> None: ... @deprecated("Removed in Python 3.11") def accept(self) -> tuple[socket.socket, _RetAddress]: ... @deprecated("Removed in Python 3.11") def connect(self, address: _Address) -> None: ... @deprecated("Removed in Python 3.11") def connect_ex(self, address: _Address) -> int: ... @deprecated("Removed in Python 3.11") def bind(self, address: _Address) -> None: ... if sys.platform == "win32": @deprecated("Removed in Python 3.11") def ioctl(self, control: int, option: int | tuple[int, int, int] | bool) -> None: ... else: @deprecated("Removed in Python 3.11") def ioctl(self, control: int, option: int | tuple[int, int, int] | bool) -> NoReturn: ... @deprecated("Removed in Python 3.11") def listen(self, backlog: int = ..., /) -> None: ... @deprecated("Removed in Python 3.11") def makefile(self) -> BinaryIO: ... @deprecated("Rmoved in Python 3.11") def sendfile(self, file: BinaryIO, offset: int = 0, count: int | None = None) -> int: ... @deprecated("Removed in Python 3.11") def close(self) -> None: ... @deprecated("Removed in Python 3.11") def detach(self) -> int: ... if sys.platform == "linux": @deprecated("Removed in Python 3.11") def sendmsg_afalg( self, msg: Iterable[ReadableBuffer] = ..., *, op: int, iv: Any = ..., assoclen: int = ..., flags: int = 0 ) -> int: ... else: @deprecated("Removed in Python 3.11.") def sendmsg_afalg( self, msg: Iterable[ReadableBuffer] = ..., *, op: int, iv: Any = ..., assoclen: int = ..., flags: int = 0 ) -> NoReturn: ... @deprecated("Removed in Python 3.11.") def sendmsg( self, buffers: Iterable[ReadableBuffer], ancdata: Iterable[_CMSG] = ..., flags: int = 0, address: _Address | None = None, /, ) -> int: ... @overload @deprecated("Removed in Python 3.11.") def sendto(self, data: ReadableBuffer, address: _Address) -> int: ... @overload @deprecated("Removed in Python 3.11.") def sendto(self, data: ReadableBuffer, flags: int, address: _Address) -> int: ... @deprecated("Removed in Python 3.11.") def send(self, data: ReadableBuffer, flags: int = 0) -> int: ... @deprecated("Removed in Python 3.11.") def sendall(self, data: ReadableBuffer, flags: int = 0) -> None: ... @deprecated("Removed in Python 3.11.") def set_inheritable(self, inheritable: bool) -> None: ... if sys.platform == "win32": @deprecated("Removed in Python 3.11.") def share(self, process_id: int) -> bytes: ... else: @deprecated("Removed in Python 3.11.") def share(self, process_id: int) -> NoReturn: ... @deprecated("Removed in Python 3.11.") def recv_into(self, buffer: _WriteBuffer, nbytes: int = 0, flags: int = 0) -> int: ... @deprecated("Removed in Python 3.11.") def recvfrom_into(self, buffer: _WriteBuffer, nbytes: int = 0, flags: int = 0) -> tuple[int, _RetAddress]: ... @deprecated("Removed in Python 3.11.") def recvmsg_into( self, buffers: Iterable[_WriteBuffer], ancbufsize: int = 0, flags: int = 0, / ) -> tuple[int, list[_CMSG], int, Any]: ... @deprecated("Removed in Python 3.11.") def recvmsg(self, bufsize: int, ancbufsize: int = 0, flags: int = 0, /) -> tuple[bytes, list[_CMSG], int, Any]: ... @deprecated("Removed in Python 3.11.") def recvfrom(self, bufsize: int, flags: int = 0) -> tuple[bytes, _RetAddress]: ... @deprecated("Removed in Python 3.11.") def recv(self, bufsize: int, flags: int = 0) -> bytes: ... @deprecated("Removed in Python 3.11.") def __enter__(self) -> socket.socket: ... @deprecated("Removed in Python 3.11.") def __exit__( self, exc_type: Type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/unix_events.pyi0000644000175100017510000002611515112307767023127 0ustar00runnerrunnerimport sys import types from _typeshed import StrPath from abc import ABCMeta, abstractmethod from collections.abc import Callable from socket import socket from typing import Literal from typing_extensions import Self, TypeVarTuple, Unpack, deprecated from . import events from .base_events import Server, _ProtocolFactory, _SSLContext from .selector_events import BaseSelectorEventLoop _Ts = TypeVarTuple("_Ts") # Keep asyncio.__all__ updated with any changes to __all__ here if sys.platform != "win32": if sys.version_info >= (3, 14): __all__ = ("SelectorEventLoop", "EventLoop") elif sys.version_info >= (3, 13): # Adds EventLoop __all__ = ( "SelectorEventLoop", "AbstractChildWatcher", "SafeChildWatcher", "FastChildWatcher", "PidfdChildWatcher", "MultiLoopChildWatcher", "ThreadedChildWatcher", "DefaultEventLoopPolicy", "EventLoop", ) else: # adds PidfdChildWatcher __all__ = ( "SelectorEventLoop", "AbstractChildWatcher", "SafeChildWatcher", "FastChildWatcher", "PidfdChildWatcher", "MultiLoopChildWatcher", "ThreadedChildWatcher", "DefaultEventLoopPolicy", ) # This is also technically not available on Win, # but other parts of typeshed need this definition. # So, it is special cased. if sys.version_info < (3, 14): if sys.version_info >= (3, 12): @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") class AbstractChildWatcher: @abstractmethod def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... @abstractmethod def remove_child_handler(self, pid: int) -> bool: ... @abstractmethod def attach_loop(self, loop: events.AbstractEventLoop | None) -> None: ... @abstractmethod def close(self) -> None: ... @abstractmethod def __enter__(self) -> Self: ... @abstractmethod def __exit__( self, typ: type[BaseException] | None, exc: BaseException | None, tb: types.TracebackType | None ) -> None: ... @abstractmethod def is_active(self) -> bool: ... else: class AbstractChildWatcher: @abstractmethod def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... @abstractmethod def remove_child_handler(self, pid: int) -> bool: ... @abstractmethod def attach_loop(self, loop: events.AbstractEventLoop | None) -> None: ... @abstractmethod def close(self) -> None: ... @abstractmethod def __enter__(self) -> Self: ... @abstractmethod def __exit__( self, typ: type[BaseException] | None, exc: BaseException | None, tb: types.TracebackType | None ) -> None: ... @abstractmethod def is_active(self) -> bool: ... if sys.platform != "win32": if sys.version_info < (3, 14): if sys.version_info >= (3, 12): # Doesn't actually have ABCMeta metaclass at runtime, but mypy complains if we don't have it in the stub. # See discussion in #7412 class BaseChildWatcher(AbstractChildWatcher, metaclass=ABCMeta): def close(self) -> None: ... def is_active(self) -> bool: ... def attach_loop(self, loop: events.AbstractEventLoop | None) -> None: ... @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") class SafeChildWatcher(BaseChildWatcher): def __enter__(self) -> Self: ... def __exit__( self, a: type[BaseException] | None, b: BaseException | None, c: types.TracebackType | None ) -> None: ... def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... def remove_child_handler(self, pid: int) -> bool: ... @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") class FastChildWatcher(BaseChildWatcher): def __enter__(self) -> Self: ... def __exit__( self, a: type[BaseException] | None, b: BaseException | None, c: types.TracebackType | None ) -> None: ... def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... def remove_child_handler(self, pid: int) -> bool: ... else: # Doesn't actually have ABCMeta metaclass at runtime, but mypy complains if we don't have it in the stub. # See discussion in #7412 class BaseChildWatcher(AbstractChildWatcher, metaclass=ABCMeta): def close(self) -> None: ... def is_active(self) -> bool: ... def attach_loop(self, loop: events.AbstractEventLoop | None) -> None: ... class SafeChildWatcher(BaseChildWatcher): def __enter__(self) -> Self: ... def __exit__( self, a: type[BaseException] | None, b: BaseException | None, c: types.TracebackType | None ) -> None: ... def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... def remove_child_handler(self, pid: int) -> bool: ... class FastChildWatcher(BaseChildWatcher): def __enter__(self) -> Self: ... def __exit__( self, a: type[BaseException] | None, b: BaseException | None, c: types.TracebackType | None ) -> None: ... def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... def remove_child_handler(self, pid: int) -> bool: ... class _UnixSelectorEventLoop(BaseSelectorEventLoop): if sys.version_info >= (3, 13): async def create_unix_server( self, protocol_factory: _ProtocolFactory, path: StrPath | None = None, *, sock: socket | None = None, backlog: int = 100, ssl: _SSLContext = None, ssl_handshake_timeout: float | None = None, ssl_shutdown_timeout: float | None = None, start_serving: bool = True, cleanup_socket: bool = True, ) -> Server: ... if sys.version_info >= (3, 14): class _UnixDefaultEventLoopPolicy(events._BaseDefaultEventLoopPolicy): ... else: class _UnixDefaultEventLoopPolicy(events.BaseDefaultEventLoopPolicy): if sys.version_info >= (3, 12): @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") def get_child_watcher(self) -> AbstractChildWatcher: ... @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") def set_child_watcher(self, watcher: AbstractChildWatcher | None) -> None: ... else: def get_child_watcher(self) -> AbstractChildWatcher: ... def set_child_watcher(self, watcher: AbstractChildWatcher | None) -> None: ... SelectorEventLoop = _UnixSelectorEventLoop if sys.version_info >= (3, 14): _DefaultEventLoopPolicy = _UnixDefaultEventLoopPolicy else: DefaultEventLoopPolicy = _UnixDefaultEventLoopPolicy if sys.version_info >= (3, 13): EventLoop = SelectorEventLoop if sys.version_info < (3, 14): if sys.version_info >= (3, 12): @deprecated("Deprecated since Python 3.12; removed in Python 3.14.") class MultiLoopChildWatcher(AbstractChildWatcher): def is_active(self) -> bool: ... def close(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: types.TracebackType | None ) -> None: ... def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... def remove_child_handler(self, pid: int) -> bool: ... def attach_loop(self, loop: events.AbstractEventLoop | None) -> None: ... else: class MultiLoopChildWatcher(AbstractChildWatcher): def is_active(self) -> bool: ... def close(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: types.TracebackType | None ) -> None: ... def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... def remove_child_handler(self, pid: int) -> bool: ... def attach_loop(self, loop: events.AbstractEventLoop | None) -> None: ... if sys.version_info < (3, 14): class ThreadedChildWatcher(AbstractChildWatcher): def is_active(self) -> Literal[True]: ... def close(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: types.TracebackType | None ) -> None: ... def __del__(self) -> None: ... def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... def remove_child_handler(self, pid: int) -> bool: ... def attach_loop(self, loop: events.AbstractEventLoop | None) -> None: ... class PidfdChildWatcher(AbstractChildWatcher): def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: types.TracebackType | None ) -> None: ... def is_active(self) -> bool: ... def close(self) -> None: ... def attach_loop(self, loop: events.AbstractEventLoop | None) -> None: ... def add_child_handler( self, pid: int, callback: Callable[[int, int, Unpack[_Ts]], object], *args: Unpack[_Ts] ) -> None: ... def remove_child_handler(self, pid: int) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/windows_events.pyi0000644000175100017510000001242515112307767023635 0ustar00runnerrunnerimport socket import sys from _typeshed import Incomplete, ReadableBuffer, WriteableBuffer from collections.abc import Callable from typing import IO, Any, ClassVar, Final, NoReturn from . import events, futures, proactor_events, selector_events, streams, windows_utils # Keep asyncio.__all__ updated with any changes to __all__ here if sys.platform == "win32": if sys.version_info >= (3, 14): __all__ = ( "SelectorEventLoop", "ProactorEventLoop", "IocpProactor", "_DefaultEventLoopPolicy", "_WindowsSelectorEventLoopPolicy", "_WindowsProactorEventLoopPolicy", "EventLoop", ) elif sys.version_info >= (3, 13): # 3.13 added `EventLoop`. __all__ = ( "SelectorEventLoop", "ProactorEventLoop", "IocpProactor", "DefaultEventLoopPolicy", "WindowsSelectorEventLoopPolicy", "WindowsProactorEventLoopPolicy", "EventLoop", ) else: __all__ = ( "SelectorEventLoop", "ProactorEventLoop", "IocpProactor", "DefaultEventLoopPolicy", "WindowsSelectorEventLoopPolicy", "WindowsProactorEventLoopPolicy", ) NULL: Final = 0 INFINITE: Final = 0xFFFFFFFF ERROR_CONNECTION_REFUSED: Final = 1225 ERROR_CONNECTION_ABORTED: Final = 1236 CONNECT_PIPE_INIT_DELAY: float CONNECT_PIPE_MAX_DELAY: float class PipeServer: def __init__(self, address: str) -> None: ... def __del__(self) -> None: ... def closed(self) -> bool: ... def close(self) -> None: ... class _WindowsSelectorEventLoop(selector_events.BaseSelectorEventLoop): ... class ProactorEventLoop(proactor_events.BaseProactorEventLoop): def __init__(self, proactor: IocpProactor | None = None) -> None: ... async def create_pipe_connection( self, protocol_factory: Callable[[], streams.StreamReaderProtocol], address: str ) -> tuple[proactor_events._ProactorDuplexPipeTransport, streams.StreamReaderProtocol]: ... async def start_serving_pipe( self, protocol_factory: Callable[[], streams.StreamReaderProtocol], address: str ) -> list[PipeServer]: ... class IocpProactor: def __init__(self, concurrency: int = 0xFFFFFFFF) -> None: ... def __del__(self) -> None: ... def set_loop(self, loop: events.AbstractEventLoop) -> None: ... def select(self, timeout: int | None = None) -> list[futures.Future[Any]]: ... def recv(self, conn: socket.socket, nbytes: int, flags: int = 0) -> futures.Future[bytes]: ... def recv_into(self, conn: socket.socket, buf: WriteableBuffer, flags: int = 0) -> futures.Future[Any]: ... def recvfrom( self, conn: socket.socket, nbytes: int, flags: int = 0 ) -> futures.Future[tuple[bytes, socket._RetAddress]]: ... def sendto( self, conn: socket.socket, buf: ReadableBuffer, flags: int = 0, addr: socket._Address | None = None ) -> futures.Future[int]: ... def send(self, conn: socket.socket, buf: WriteableBuffer, flags: int = 0) -> futures.Future[Any]: ... def accept(self, listener: socket.socket) -> futures.Future[Any]: ... def connect( self, conn: socket.socket, address: tuple[Incomplete, Incomplete] | tuple[Incomplete, Incomplete, Incomplete, Incomplete], ) -> futures.Future[Any]: ... def sendfile(self, sock: socket.socket, file: IO[bytes], offset: int, count: int) -> futures.Future[Any]: ... def accept_pipe(self, pipe: socket.socket) -> futures.Future[Any]: ... async def connect_pipe(self, address: str) -> windows_utils.PipeHandle: ... def wait_for_handle(self, handle: windows_utils.PipeHandle, timeout: int | None = None) -> bool: ... def close(self) -> None: ... if sys.version_info >= (3, 11): def recvfrom_into( self, conn: socket.socket, buf: WriteableBuffer, flags: int = 0 ) -> futures.Future[tuple[int, socket._RetAddress]]: ... SelectorEventLoop = _WindowsSelectorEventLoop if sys.version_info >= (3, 14): class _WindowsSelectorEventLoopPolicy(events._BaseDefaultEventLoopPolicy): _loop_factory: ClassVar[type[SelectorEventLoop]] class _WindowsProactorEventLoopPolicy(events._BaseDefaultEventLoopPolicy): _loop_factory: ClassVar[type[ProactorEventLoop]] else: class WindowsSelectorEventLoopPolicy(events.BaseDefaultEventLoopPolicy): _loop_factory: ClassVar[type[SelectorEventLoop]] def get_child_watcher(self) -> NoReturn: ... def set_child_watcher(self, watcher: Any) -> NoReturn: ... class WindowsProactorEventLoopPolicy(events.BaseDefaultEventLoopPolicy): _loop_factory: ClassVar[type[ProactorEventLoop]] def get_child_watcher(self) -> NoReturn: ... def set_child_watcher(self, watcher: Any) -> NoReturn: ... if sys.version_info >= (3, 14): _DefaultEventLoopPolicy = _WindowsProactorEventLoopPolicy else: DefaultEventLoopPolicy = WindowsProactorEventLoopPolicy if sys.version_info >= (3, 13): EventLoop = ProactorEventLoop ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncio/windows_utils.pyi0000644000175100017510000000364315112307767023473 0ustar00runnerrunnerimport subprocess import sys from collections.abc import Callable from types import TracebackType from typing import Any, AnyStr, Final from typing_extensions import Self if sys.platform == "win32": __all__ = ("pipe", "Popen", "PIPE", "PipeHandle") BUFSIZE: Final = 8192 PIPE: Final = subprocess.PIPE STDOUT: Final = subprocess.STDOUT def pipe(*, duplex: bool = False, overlapped: tuple[bool, bool] = (True, True), bufsize: int = 8192) -> tuple[int, int]: ... class PipeHandle: def __init__(self, handle: int) -> None: ... def __del__(self) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, t: type[BaseException] | None, v: BaseException | None, tb: TracebackType | None) -> None: ... @property def handle(self) -> int: ... def fileno(self) -> int: ... def close(self, *, CloseHandle: Callable[[int], object] = ...) -> None: ... class Popen(subprocess.Popen[AnyStr]): stdin: PipeHandle | None # type: ignore[assignment] stdout: PipeHandle | None # type: ignore[assignment] stderr: PipeHandle | None # type: ignore[assignment] # For simplicity we omit the full overloaded __new__ signature of # subprocess.Popen. The arguments are mostly the same, but # subprocess.Popen takes other positional-or-keyword arguments before # stdin. def __new__( cls, args: subprocess._CMD, stdin: subprocess._FILE | None = None, stdout: subprocess._FILE | None = None, stderr: subprocess._FILE | None = None, **kwds: Any, ) -> Self: ... def __init__( self, args: subprocess._CMD, stdin: subprocess._FILE | None = None, stdout: subprocess._FILE | None = None, stderr: subprocess._FILE | None = None, **kwds: Any, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/asyncore.pyi0000644000175100017510000000712615112307767020737 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptorLike, ReadableBuffer from socket import socket from typing import Any, overload from typing_extensions import TypeAlias # cyclic dependence with asynchat _MapType: TypeAlias = dict[int, Any] _Socket: TypeAlias = socket socket_map: _MapType # undocumented class ExitNow(Exception): ... def read(obj: Any) -> None: ... def write(obj: Any) -> None: ... def readwrite(obj: Any, flags: int) -> None: ... def poll(timeout: float = 0.0, map: _MapType | None = None) -> None: ... def poll2(timeout: float = 0.0, map: _MapType | None = None) -> None: ... poll3 = poll2 def loop(timeout: float = 30.0, use_poll: bool = False, map: _MapType | None = None, count: int | None = None) -> None: ... # Not really subclass of socket.socket; it's only delegation. # It is not covariant to it. class dispatcher: debug: bool connected: bool accepting: bool connecting: bool closing: bool ignore_log_types: frozenset[str] socket: _Socket | None def __init__(self, sock: _Socket | None = None, map: _MapType | None = None) -> None: ... def add_channel(self, map: _MapType | None = None) -> None: ... def del_channel(self, map: _MapType | None = None) -> None: ... def create_socket(self, family: int = ..., type: int = ...) -> None: ... def set_socket(self, sock: _Socket, map: _MapType | None = None) -> None: ... def set_reuse_addr(self) -> None: ... def readable(self) -> bool: ... def writable(self) -> bool: ... def listen(self, num: int) -> None: ... def bind(self, addr: tuple[Any, ...] | str) -> None: ... def connect(self, address: tuple[Any, ...] | str) -> None: ... def accept(self) -> tuple[_Socket, Any] | None: ... def send(self, data: ReadableBuffer) -> int: ... def recv(self, buffer_size: int) -> bytes: ... def close(self) -> None: ... def log(self, message: Any) -> None: ... def log_info(self, message: Any, type: str = "info") -> None: ... def handle_read_event(self) -> None: ... def handle_connect_event(self) -> None: ... def handle_write_event(self) -> None: ... def handle_expt_event(self) -> None: ... def handle_error(self) -> None: ... def handle_expt(self) -> None: ... def handle_read(self) -> None: ... def handle_write(self) -> None: ... def handle_connect(self) -> None: ... def handle_accept(self) -> None: ... def handle_close(self) -> None: ... class dispatcher_with_send(dispatcher): def initiate_send(self) -> None: ... # incompatible signature: # def send(self, data: bytes) -> int | None: ... def compact_traceback() -> tuple[tuple[str, str, str], type, type, str]: ... def close_all(map: _MapType | None = None, ignore_all: bool = False) -> None: ... if sys.platform != "win32": class file_wrapper: fd: int def __init__(self, fd: int) -> None: ... def recv(self, bufsize: int, flags: int = ...) -> bytes: ... def send(self, data: bytes, flags: int = ...) -> int: ... @overload def getsockopt(self, level: int, optname: int, buflen: None = None) -> int: ... @overload def getsockopt(self, level: int, optname: int, buflen: int) -> bytes: ... def read(self, bufsize: int, flags: int = ...) -> bytes: ... def write(self, data: bytes, flags: int = ...) -> int: ... def close(self) -> None: ... def fileno(self) -> int: ... def __del__(self) -> None: ... class file_dispatcher(dispatcher): def __init__(self, fd: FileDescriptorLike, map: _MapType | None = None) -> None: ... def set_file(self, fd: int) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/atexit.pyi0000644000175100017510000000061615112307767020407 0ustar00runnerrunnerfrom collections.abc import Callable from typing import TypeVar from typing_extensions import ParamSpec _T = TypeVar("_T") _P = ParamSpec("_P") def _clear() -> None: ... def _ncallbacks() -> int: ... def _run_exitfuncs() -> None: ... def register(func: Callable[_P, _T], /, *args: _P.args, **kwargs: _P.kwargs) -> Callable[_P, _T]: ... def unregister(func: Callable[..., object], /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/audioop.pyi0000644000175100017510000000411215112307767020544 0ustar00runnerrunnerfrom typing_extensions import Buffer, TypeAlias _AdpcmState: TypeAlias = tuple[int, int] _RatecvState: TypeAlias = tuple[int, tuple[tuple[int, int], ...]] class error(Exception): ... def add(fragment1: Buffer, fragment2: Buffer, width: int, /) -> bytes: ... def adpcm2lin(fragment: Buffer, width: int, state: _AdpcmState | None, /) -> tuple[bytes, _AdpcmState]: ... def alaw2lin(fragment: Buffer, width: int, /) -> bytes: ... def avg(fragment: Buffer, width: int, /) -> int: ... def avgpp(fragment: Buffer, width: int, /) -> int: ... def bias(fragment: Buffer, width: int, bias: int, /) -> bytes: ... def byteswap(fragment: Buffer, width: int, /) -> bytes: ... def cross(fragment: Buffer, width: int, /) -> int: ... def findfactor(fragment: Buffer, reference: Buffer, /) -> float: ... def findfit(fragment: Buffer, reference: Buffer, /) -> tuple[int, float]: ... def findmax(fragment: Buffer, length: int, /) -> int: ... def getsample(fragment: Buffer, width: int, index: int, /) -> int: ... def lin2adpcm(fragment: Buffer, width: int, state: _AdpcmState | None, /) -> tuple[bytes, _AdpcmState]: ... def lin2alaw(fragment: Buffer, width: int, /) -> bytes: ... def lin2lin(fragment: Buffer, width: int, newwidth: int, /) -> bytes: ... def lin2ulaw(fragment: Buffer, width: int, /) -> bytes: ... def max(fragment: Buffer, width: int, /) -> int: ... def maxpp(fragment: Buffer, width: int, /) -> int: ... def minmax(fragment: Buffer, width: int, /) -> tuple[int, int]: ... def mul(fragment: Buffer, width: int, factor: float, /) -> bytes: ... def ratecv( fragment: Buffer, width: int, nchannels: int, inrate: int, outrate: int, state: _RatecvState | None, weightA: int = 1, weightB: int = 0, /, ) -> tuple[bytes, _RatecvState]: ... def reverse(fragment: Buffer, width: int, /) -> bytes: ... def rms(fragment: Buffer, width: int, /) -> int: ... def tomono(fragment: Buffer, width: int, lfactor: float, rfactor: float, /) -> bytes: ... def tostereo(fragment: Buffer, width: int, lfactor: float, rfactor: float, /) -> bytes: ... def ulaw2lin(fragment: Buffer, width: int, /) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/base64.pyi0000644000175100017510000000433015112307767020172 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from typing import IO __all__ = [ "encode", "decode", "encodebytes", "decodebytes", "b64encode", "b64decode", "b32encode", "b32decode", "b16encode", "b16decode", "b85encode", "b85decode", "a85encode", "a85decode", "standard_b64encode", "standard_b64decode", "urlsafe_b64encode", "urlsafe_b64decode", ] if sys.version_info >= (3, 10): __all__ += ["b32hexencode", "b32hexdecode"] if sys.version_info >= (3, 13): __all__ += ["z85decode", "z85encode"] def b64encode(s: ReadableBuffer, altchars: ReadableBuffer | None = None) -> bytes: ... def b64decode(s: str | ReadableBuffer, altchars: str | ReadableBuffer | None = None, validate: bool = False) -> bytes: ... def standard_b64encode(s: ReadableBuffer) -> bytes: ... def standard_b64decode(s: str | ReadableBuffer) -> bytes: ... def urlsafe_b64encode(s: ReadableBuffer) -> bytes: ... def urlsafe_b64decode(s: str | ReadableBuffer) -> bytes: ... def b32encode(s: ReadableBuffer) -> bytes: ... def b32decode(s: str | ReadableBuffer, casefold: bool = False, map01: str | ReadableBuffer | None = None) -> bytes: ... def b16encode(s: ReadableBuffer) -> bytes: ... def b16decode(s: str | ReadableBuffer, casefold: bool = False) -> bytes: ... if sys.version_info >= (3, 10): def b32hexencode(s: ReadableBuffer) -> bytes: ... def b32hexdecode(s: str | ReadableBuffer, casefold: bool = False) -> bytes: ... def a85encode( b: ReadableBuffer, *, foldspaces: bool = False, wrapcol: int = 0, pad: bool = False, adobe: bool = False ) -> bytes: ... def a85decode( b: str | ReadableBuffer, *, foldspaces: bool = False, adobe: bool = False, ignorechars: bytearray | bytes = b" \t\n\r\x0b" ) -> bytes: ... def b85encode(b: ReadableBuffer, pad: bool = False) -> bytes: ... def b85decode(b: str | ReadableBuffer) -> bytes: ... def decode(input: IO[bytes], output: IO[bytes]) -> None: ... def encode(input: IO[bytes], output: IO[bytes]) -> None: ... def encodebytes(s: ReadableBuffer) -> bytes: ... def decodebytes(s: ReadableBuffer) -> bytes: ... if sys.version_info >= (3, 13): def z85encode(s: ReadableBuffer) -> bytes: ... def z85decode(s: str | ReadableBuffer) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/bdb.pyi0000644000175100017510000001335215112307767017641 0ustar00runnerrunnerimport sys from _typeshed import ExcInfo, TraceFunction, Unused from collections.abc import Callable, Iterable, Iterator, Mapping from contextlib import contextmanager from types import CodeType, FrameType, TracebackType from typing import IO, Any, Final, Literal, SupportsInt, TypeVar from typing_extensions import ParamSpec, TypeAlias __all__ = ["BdbQuit", "Bdb", "Breakpoint"] _T = TypeVar("_T") _P = ParamSpec("_P") _Backend: TypeAlias = Literal["settrace", "monitoring"] # A union of code-object flags at runtime. # The exact values of code-object flags are implementation details, # so we don't include the value of this constant in the stubs. GENERATOR_AND_COROUTINE_FLAGS: Final[int] class BdbQuit(Exception): ... class Bdb: skip: set[str] | None breaks: dict[str, list[int]] fncache: dict[str, str] frame_returning: FrameType | None botframe: FrameType | None quitting: bool stopframe: FrameType | None returnframe: FrameType | None stoplineno: int if sys.version_info >= (3, 14): backend: _Backend def __init__(self, skip: Iterable[str] | None = None, backend: _Backend = "settrace") -> None: ... else: def __init__(self, skip: Iterable[str] | None = None) -> None: ... def canonic(self, filename: str) -> str: ... def reset(self) -> None: ... if sys.version_info >= (3, 12): @contextmanager def set_enterframe(self, frame: FrameType) -> Iterator[None]: ... def trace_dispatch(self, frame: FrameType, event: str, arg: Any) -> TraceFunction: ... def dispatch_line(self, frame: FrameType) -> TraceFunction: ... def dispatch_call(self, frame: FrameType, arg: None) -> TraceFunction: ... def dispatch_return(self, frame: FrameType, arg: Any) -> TraceFunction: ... def dispatch_exception(self, frame: FrameType, arg: ExcInfo) -> TraceFunction: ... if sys.version_info >= (3, 13): def dispatch_opcode(self, frame: FrameType, arg: Unused) -> Callable[[FrameType, str, Any], TraceFunction]: ... def is_skipped_module(self, module_name: str) -> bool: ... def stop_here(self, frame: FrameType) -> bool: ... def break_here(self, frame: FrameType) -> bool: ... def do_clear(self, arg: Any) -> bool | None: ... def break_anywhere(self, frame: FrameType) -> bool: ... def user_call(self, frame: FrameType, argument_list: None) -> None: ... def user_line(self, frame: FrameType) -> None: ... def user_return(self, frame: FrameType, return_value: Any) -> None: ... def user_exception(self, frame: FrameType, exc_info: ExcInfo) -> None: ... def set_until(self, frame: FrameType, lineno: int | None = None) -> None: ... if sys.version_info >= (3, 13): def user_opcode(self, frame: FrameType) -> None: ... # undocumented def set_step(self) -> None: ... if sys.version_info >= (3, 13): def set_stepinstr(self) -> None: ... # undocumented def set_next(self, frame: FrameType) -> None: ... def set_return(self, frame: FrameType) -> None: ... def set_trace(self, frame: FrameType | None = None) -> None: ... def set_continue(self) -> None: ... def set_quit(self) -> None: ... def set_break( self, filename: str, lineno: int, temporary: bool = False, cond: str | None = None, funcname: str | None = None ) -> str | None: ... def clear_break(self, filename: str, lineno: int) -> str | None: ... def clear_bpbynumber(self, arg: SupportsInt) -> str | None: ... def clear_all_file_breaks(self, filename: str) -> str | None: ... def clear_all_breaks(self) -> str | None: ... def get_bpbynumber(self, arg: SupportsInt) -> Breakpoint: ... def get_break(self, filename: str, lineno: int) -> bool: ... def get_breaks(self, filename: str, lineno: int) -> list[Breakpoint]: ... def get_file_breaks(self, filename: str) -> list[int]: ... def get_all_breaks(self) -> dict[str, list[int]]: ... def get_stack(self, f: FrameType | None, t: TracebackType | None) -> tuple[list[tuple[FrameType, int]], int]: ... def format_stack_entry(self, frame_lineno: tuple[FrameType, int], lprefix: str = ": ") -> str: ... def run( self, cmd: str | CodeType, globals: dict[str, Any] | None = None, locals: Mapping[str, Any] | None = None ) -> None: ... def runeval(self, expr: str, globals: dict[str, Any] | None = None, locals: Mapping[str, Any] | None = None) -> None: ... def runctx(self, cmd: str | CodeType, globals: dict[str, Any] | None, locals: Mapping[str, Any] | None) -> None: ... def runcall(self, func: Callable[_P, _T], /, *args: _P.args, **kwds: _P.kwargs) -> _T | None: ... if sys.version_info >= (3, 14): def start_trace(self) -> None: ... def stop_trace(self) -> None: ... def disable_current_event(self) -> None: ... def restart_events(self) -> None: ... class Breakpoint: next: int bplist: dict[tuple[str, int], list[Breakpoint]] bpbynumber: list[Breakpoint | None] funcname: str | None func_first_executable_line: int | None file: str line: int temporary: bool cond: str | None enabled: bool ignore: int hits: int number: int def __init__( self, file: str, line: int, temporary: bool = False, cond: str | None = None, funcname: str | None = None ) -> None: ... if sys.version_info >= (3, 11): @staticmethod def clearBreakpoints() -> None: ... def deleteMe(self) -> None: ... def enable(self) -> None: ... def disable(self) -> None: ... def bpprint(self, out: IO[str] | None = None) -> None: ... def bpformat(self) -> str: ... def checkfuncname(b: Breakpoint, frame: FrameType) -> bool: ... def effective(file: str, line: int, frame: FrameType) -> tuple[Breakpoint, bool] | tuple[None, None]: ... def set_trace() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/binascii.pyi0000644000175100017510000000343615112307767020675 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from typing_extensions import TypeAlias, deprecated # Many functions in binascii accept buffer objects # or ASCII-only strings. _AsciiBuffer: TypeAlias = str | ReadableBuffer def a2b_uu(data: _AsciiBuffer, /) -> bytes: ... def b2a_uu(data: ReadableBuffer, /, *, backtick: bool = False) -> bytes: ... if sys.version_info >= (3, 11): def a2b_base64(data: _AsciiBuffer, /, *, strict_mode: bool = False) -> bytes: ... else: def a2b_base64(data: _AsciiBuffer, /) -> bytes: ... def b2a_base64(data: ReadableBuffer, /, *, newline: bool = True) -> bytes: ... def a2b_qp(data: _AsciiBuffer, header: bool = False) -> bytes: ... def b2a_qp(data: ReadableBuffer, quotetabs: bool = False, istext: bool = True, header: bool = False) -> bytes: ... if sys.version_info < (3, 11): @deprecated("Deprecated since Python 3.9; removed in Python 3.11.") def a2b_hqx(data: _AsciiBuffer, /) -> bytes: ... @deprecated("Deprecated since Python 3.9; removed in Python 3.11.") def rledecode_hqx(data: ReadableBuffer, /) -> bytes: ... @deprecated("Deprecated since Python 3.9; removed in Python 3.11.") def rlecode_hqx(data: ReadableBuffer, /) -> bytes: ... @deprecated("Deprecated since Python 3.9; removed in Python 3.11.") def b2a_hqx(data: ReadableBuffer, /) -> bytes: ... def crc_hqx(data: ReadableBuffer, crc: int, /) -> int: ... def crc32(data: ReadableBuffer, crc: int = 0, /) -> int: ... def b2a_hex(data: ReadableBuffer, sep: str | bytes = ..., bytes_per_sep: int = 1) -> bytes: ... def hexlify(data: ReadableBuffer, sep: str | bytes = ..., bytes_per_sep: int = 1) -> bytes: ... def a2b_hex(hexstr: _AsciiBuffer, /) -> bytes: ... def unhexlify(hexstr: _AsciiBuffer, /) -> bytes: ... class Error(ValueError): ... class Incomplete(Exception): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/binhex.pyi0000644000175100017510000000237215112307767020367 0ustar00runnerrunnerfrom _typeshed import SizedBuffer from typing import IO, Any, Final from typing_extensions import TypeAlias __all__ = ["binhex", "hexbin", "Error"] class Error(Exception): ... REASONABLY_LARGE: Final = 32768 LINELEN: Final = 64 RUNCHAR: Final = b"\x90" class FInfo: Type: str Creator: str Flags: int _FileInfoTuple: TypeAlias = tuple[str, FInfo, int, int] _FileHandleUnion: TypeAlias = str | IO[bytes] def getfileinfo(name: str) -> _FileInfoTuple: ... class openrsrc: def __init__(self, *args: Any) -> None: ... def read(self, *args: Any) -> bytes: ... def write(self, *args: Any) -> None: ... def close(self) -> None: ... class BinHex: def __init__(self, name_finfo_dlen_rlen: _FileInfoTuple, ofp: _FileHandleUnion) -> None: ... def write(self, data: SizedBuffer) -> None: ... def close_data(self) -> None: ... def write_rsrc(self, data: SizedBuffer) -> None: ... def close(self) -> None: ... def binhex(inp: str, out: str) -> None: ... class HexBin: def __init__(self, ifp: _FileHandleUnion) -> None: ... def read(self, *n: int) -> bytes: ... def close_data(self) -> None: ... def read_rsrc(self, *n: int) -> bytes: ... def close(self) -> None: ... def hexbin(inp: str, out: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/bisect.pyi0000644000175100017510000000010315112307767020351 0ustar00runnerrunnerfrom _bisect import * bisect = bisect_right insort = insort_right ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/builtins.pyi0000644000175100017510000026306615112307767020754 0ustar00runnerrunnerimport _ast import _sitebuiltins import _typeshed import sys import types from _collections_abc import dict_items, dict_keys, dict_values from _typeshed import ( AnnotationForm, ConvertibleToFloat, ConvertibleToInt, FileDescriptorOrPath, OpenBinaryMode, OpenBinaryModeReading, OpenBinaryModeUpdating, OpenBinaryModeWriting, OpenTextMode, ReadableBuffer, SupportsAdd, SupportsAiter, SupportsAnext, SupportsDivMod, SupportsFlush, SupportsIter, SupportsKeysAndGetItem, SupportsLenAndGetItem, SupportsNext, SupportsRAdd, SupportsRDivMod, SupportsRichComparison, SupportsRichComparisonT, SupportsWrite, ) from collections.abc import Awaitable, Callable, Iterable, Iterator, MutableSet, Reversible, Set as AbstractSet, Sized from io import BufferedRandom, BufferedReader, BufferedWriter, FileIO, TextIOWrapper from os import PathLike from types import CellType, CodeType, GenericAlias, TracebackType # mypy crashes if any of {ByteString, Sequence, MutableSequence, Mapping, MutableMapping} # are imported from collections.abc in builtins.pyi from typing import ( # noqa: Y022,UP035 IO, Any, BinaryIO, ClassVar, Final, Generic, Mapping, MutableMapping, MutableSequence, Protocol, Sequence, SupportsAbs, SupportsBytes, SupportsComplex, SupportsFloat, SupportsIndex, TypeVar, final, overload, type_check_only, ) # we can't import `Literal` from typing or mypy crashes: see #11247 from typing_extensions import ( # noqa: Y023 Concatenate, Literal, ParamSpec, Self, TypeAlias, TypeGuard, TypeIs, TypeVarTuple, deprecated, disjoint_base, ) if sys.version_info >= (3, 14): from _typeshed import AnnotateFunc _T = TypeVar("_T") _I = TypeVar("_I", default=int) _T_co = TypeVar("_T_co", covariant=True) _T_contra = TypeVar("_T_contra", contravariant=True) _R_co = TypeVar("_R_co", covariant=True) _KT = TypeVar("_KT") _VT = TypeVar("_VT") _S = TypeVar("_S") _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _T3 = TypeVar("_T3") _T4 = TypeVar("_T4") _T5 = TypeVar("_T5") _SupportsNextT_co = TypeVar("_SupportsNextT_co", bound=SupportsNext[Any], covariant=True) _SupportsAnextT_co = TypeVar("_SupportsAnextT_co", bound=SupportsAnext[Any], covariant=True) _AwaitableT = TypeVar("_AwaitableT", bound=Awaitable[Any]) _AwaitableT_co = TypeVar("_AwaitableT_co", bound=Awaitable[Any], covariant=True) _P = ParamSpec("_P") # Type variables for slice _StartT_co = TypeVar("_StartT_co", covariant=True, default=Any) # slice -> slice[Any, Any, Any] _StopT_co = TypeVar("_StopT_co", covariant=True, default=_StartT_co) # slice[A] -> slice[A, A, A] # NOTE: step could differ from start and stop, (e.g. datetime/timedelta)l # the default (start|stop) is chosen to cater to the most common case of int/index slices. # FIXME: https://github.com/python/typing/issues/213 (replace step=start|stop with step=start&stop) _StepT_co = TypeVar("_StepT_co", covariant=True, default=_StartT_co | _StopT_co) # slice[A,B] -> slice[A, B, A|B] @disjoint_base class object: __doc__: str | None __dict__: dict[str, Any] __module__: str __annotations__: dict[str, Any] @property def __class__(self) -> type[Self]: ... @__class__.setter def __class__(self, type: type[Self], /) -> None: ... def __init__(self) -> None: ... def __new__(cls) -> Self: ... # N.B. `object.__setattr__` and `object.__delattr__` are heavily special-cased by type checkers. # Overriding them in subclasses has different semantics, even if the override has an identical signature. def __setattr__(self, name: str, value: Any, /) -> None: ... def __delattr__(self, name: str, /) -> None: ... def __eq__(self, value: object, /) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __str__(self) -> str: ... # noqa: Y029 def __repr__(self) -> str: ... # noqa: Y029 def __hash__(self) -> int: ... def __format__(self, format_spec: str, /) -> str: ... def __getattribute__(self, name: str, /) -> Any: ... def __sizeof__(self) -> int: ... # return type of pickle methods is rather hard to express in the current type system # see #6661 and https://docs.python.org/3/library/pickle.html#object.__reduce__ def __reduce__(self) -> str | tuple[Any, ...]: ... def __reduce_ex__(self, protocol: SupportsIndex, /) -> str | tuple[Any, ...]: ... if sys.version_info >= (3, 11): def __getstate__(self) -> object: ... def __dir__(self) -> Iterable[str]: ... def __init_subclass__(cls) -> None: ... @classmethod def __subclasshook__(cls, subclass: type, /) -> bool: ... @disjoint_base class staticmethod(Generic[_P, _R_co]): @property def __func__(self) -> Callable[_P, _R_co]: ... @property def __isabstractmethod__(self) -> bool: ... def __init__(self, f: Callable[_P, _R_co], /) -> None: ... @overload def __get__(self, instance: None, owner: type, /) -> Callable[_P, _R_co]: ... @overload def __get__(self, instance: _T, owner: type[_T] | None = None, /) -> Callable[_P, _R_co]: ... if sys.version_info >= (3, 10): __name__: str __qualname__: str @property def __wrapped__(self) -> Callable[_P, _R_co]: ... def __call__(self, *args: _P.args, **kwargs: _P.kwargs) -> _R_co: ... if sys.version_info >= (3, 14): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... __annotate__: AnnotateFunc | None @disjoint_base class classmethod(Generic[_T, _P, _R_co]): @property def __func__(self) -> Callable[Concatenate[type[_T], _P], _R_co]: ... @property def __isabstractmethod__(self) -> bool: ... def __init__(self, f: Callable[Concatenate[type[_T], _P], _R_co], /) -> None: ... @overload def __get__(self, instance: _T, owner: type[_T] | None = None, /) -> Callable[_P, _R_co]: ... @overload def __get__(self, instance: None, owner: type[_T], /) -> Callable[_P, _R_co]: ... if sys.version_info >= (3, 10): __name__: str __qualname__: str @property def __wrapped__(self) -> Callable[Concatenate[type[_T], _P], _R_co]: ... if sys.version_info >= (3, 14): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... __annotate__: AnnotateFunc | None @disjoint_base class type: # object.__base__ is None. Otherwise, it would be a type. @property def __base__(self) -> type | None: ... __bases__: tuple[type, ...] @property def __basicsize__(self) -> int: ... # type.__dict__ is read-only at runtime, but that can't be expressed currently. # See https://github.com/python/typeshed/issues/11033 for a discussion. __dict__: Final[types.MappingProxyType[str, Any]] # type: ignore[assignment] @property def __dictoffset__(self) -> int: ... @property def __flags__(self) -> int: ... @property def __itemsize__(self) -> int: ... __module__: str @property def __mro__(self) -> tuple[type, ...]: ... __name__: str __qualname__: str @property def __text_signature__(self) -> str | None: ... @property def __weakrefoffset__(self) -> int: ... @overload def __init__(self, o: object, /) -> None: ... @overload def __init__(self, name: str, bases: tuple[type, ...], dict: dict[str, Any], /, **kwds: Any) -> None: ... @overload def __new__(cls, o: object, /) -> type: ... @overload def __new__( cls: type[_typeshed.Self], name: str, bases: tuple[type, ...], namespace: dict[str, Any], /, **kwds: Any ) -> _typeshed.Self: ... def __call__(self, *args: Any, **kwds: Any) -> Any: ... def __subclasses__(self: _typeshed.Self) -> list[_typeshed.Self]: ... # Note: the documentation doesn't specify what the return type is, the standard # implementation seems to be returning a list. def mro(self) -> list[type]: ... def __instancecheck__(self, instance: Any, /) -> bool: ... def __subclasscheck__(self, subclass: type, /) -> bool: ... @classmethod def __prepare__(metacls, name: str, bases: tuple[type, ...], /, **kwds: Any) -> MutableMapping[str, object]: ... if sys.version_info >= (3, 10): # `int | str` produces an instance of `UnionType`, but `int | int` produces an instance of `type`, # and `abc.ABC | abc.ABC` produces an instance of `abc.ABCMeta`. def __or__(self: _typeshed.Self, value: Any, /) -> types.UnionType | _typeshed.Self: ... def __ror__(self: _typeshed.Self, value: Any, /) -> types.UnionType | _typeshed.Self: ... if sys.version_info >= (3, 12): __type_params__: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] __annotations__: dict[str, AnnotationForm] if sys.version_info >= (3, 14): __annotate__: AnnotateFunc | None @disjoint_base class super: @overload def __init__(self, t: Any, obj: Any, /) -> None: ... @overload def __init__(self, t: Any, /) -> None: ... @overload def __init__(self) -> None: ... _PositiveInteger: TypeAlias = Literal[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] _NegativeInteger: TypeAlias = Literal[-1, -2, -3, -4, -5, -6, -7, -8, -9, -10, -11, -12, -13, -14, -15, -16, -17, -18, -19, -20] _LiteralInteger = _PositiveInteger | _NegativeInteger | Literal[0] # noqa: Y026 # TODO: Use TypeAlias once mypy bugs are fixed @disjoint_base class int: @overload def __new__(cls, x: ConvertibleToInt = 0, /) -> Self: ... @overload def __new__(cls, x: str | bytes | bytearray, /, base: SupportsIndex) -> Self: ... def as_integer_ratio(self) -> tuple[int, Literal[1]]: ... @property def real(self) -> int: ... @property def imag(self) -> Literal[0]: ... @property def numerator(self) -> int: ... @property def denominator(self) -> Literal[1]: ... def conjugate(self) -> int: ... def bit_length(self) -> int: ... if sys.version_info >= (3, 10): def bit_count(self) -> int: ... if sys.version_info >= (3, 11): def to_bytes( self, length: SupportsIndex = 1, byteorder: Literal["little", "big"] = "big", *, signed: bool = False ) -> bytes: ... @classmethod def from_bytes( cls, bytes: Iterable[SupportsIndex] | SupportsBytes | ReadableBuffer, byteorder: Literal["little", "big"] = "big", *, signed: bool = False, ) -> Self: ... else: def to_bytes(self, length: SupportsIndex, byteorder: Literal["little", "big"], *, signed: bool = False) -> bytes: ... @classmethod def from_bytes( cls, bytes: Iterable[SupportsIndex] | SupportsBytes | ReadableBuffer, byteorder: Literal["little", "big"], *, signed: bool = False, ) -> Self: ... if sys.version_info >= (3, 12): def is_integer(self) -> Literal[True]: ... def __add__(self, value: int, /) -> int: ... def __sub__(self, value: int, /) -> int: ... def __mul__(self, value: int, /) -> int: ... def __floordiv__(self, value: int, /) -> int: ... def __truediv__(self, value: int, /) -> float: ... def __mod__(self, value: int, /) -> int: ... def __divmod__(self, value: int, /) -> tuple[int, int]: ... def __radd__(self, value: int, /) -> int: ... def __rsub__(self, value: int, /) -> int: ... def __rmul__(self, value: int, /) -> int: ... def __rfloordiv__(self, value: int, /) -> int: ... def __rtruediv__(self, value: int, /) -> float: ... def __rmod__(self, value: int, /) -> int: ... def __rdivmod__(self, value: int, /) -> tuple[int, int]: ... @overload def __pow__(self, x: Literal[0], /) -> Literal[1]: ... @overload def __pow__(self, value: Literal[0], mod: None, /) -> Literal[1]: ... @overload def __pow__(self, value: _PositiveInteger, mod: None = None, /) -> int: ... @overload def __pow__(self, value: _NegativeInteger, mod: None = None, /) -> float: ... # positive __value -> int; negative __value -> float # return type must be Any as `int | float` causes too many false-positive errors @overload def __pow__(self, value: int, mod: None = None, /) -> Any: ... @overload def __pow__(self, value: int, mod: int, /) -> int: ... def __rpow__(self, value: int, mod: int | None = None, /) -> Any: ... def __and__(self, value: int, /) -> int: ... def __or__(self, value: int, /) -> int: ... def __xor__(self, value: int, /) -> int: ... def __lshift__(self, value: int, /) -> int: ... def __rshift__(self, value: int, /) -> int: ... def __rand__(self, value: int, /) -> int: ... def __ror__(self, value: int, /) -> int: ... def __rxor__(self, value: int, /) -> int: ... def __rlshift__(self, value: int, /) -> int: ... def __rrshift__(self, value: int, /) -> int: ... def __neg__(self) -> int: ... def __pos__(self) -> int: ... def __invert__(self) -> int: ... def __trunc__(self) -> int: ... def __ceil__(self) -> int: ... def __floor__(self) -> int: ... if sys.version_info >= (3, 14): def __round__(self, ndigits: SupportsIndex | None = None, /) -> int: ... else: def __round__(self, ndigits: SupportsIndex = ..., /) -> int: ... def __getnewargs__(self) -> tuple[int]: ... def __eq__(self, value: object, /) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __lt__(self, value: int, /) -> bool: ... def __le__(self, value: int, /) -> bool: ... def __gt__(self, value: int, /) -> bool: ... def __ge__(self, value: int, /) -> bool: ... def __float__(self) -> float: ... def __int__(self) -> int: ... def __abs__(self) -> int: ... def __hash__(self) -> int: ... def __bool__(self) -> bool: ... def __index__(self) -> int: ... def __format__(self, format_spec: str, /) -> str: ... @disjoint_base class float: def __new__(cls, x: ConvertibleToFloat = 0, /) -> Self: ... def as_integer_ratio(self) -> tuple[int, int]: ... def hex(self) -> str: ... def is_integer(self) -> bool: ... @classmethod def fromhex(cls, string: str, /) -> Self: ... @property def real(self) -> float: ... @property def imag(self) -> float: ... def conjugate(self) -> float: ... def __add__(self, value: float, /) -> float: ... def __sub__(self, value: float, /) -> float: ... def __mul__(self, value: float, /) -> float: ... def __floordiv__(self, value: float, /) -> float: ... def __truediv__(self, value: float, /) -> float: ... def __mod__(self, value: float, /) -> float: ... def __divmod__(self, value: float, /) -> tuple[float, float]: ... @overload def __pow__(self, value: int, mod: None = None, /) -> float: ... # positive __value -> float; negative __value -> complex # return type must be Any as `float | complex` causes too many false-positive errors @overload def __pow__(self, value: float, mod: None = None, /) -> Any: ... def __radd__(self, value: float, /) -> float: ... def __rsub__(self, value: float, /) -> float: ... def __rmul__(self, value: float, /) -> float: ... def __rfloordiv__(self, value: float, /) -> float: ... def __rtruediv__(self, value: float, /) -> float: ... def __rmod__(self, value: float, /) -> float: ... def __rdivmod__(self, value: float, /) -> tuple[float, float]: ... @overload def __rpow__(self, value: _PositiveInteger, mod: None = None, /) -> float: ... @overload def __rpow__(self, value: _NegativeInteger, mod: None = None, /) -> complex: ... # Returning `complex` for the general case gives too many false-positive errors. @overload def __rpow__(self, value: float, mod: None = None, /) -> Any: ... def __getnewargs__(self) -> tuple[float]: ... def __trunc__(self) -> int: ... def __ceil__(self) -> int: ... def __floor__(self) -> int: ... @overload def __round__(self, ndigits: None = None, /) -> int: ... @overload def __round__(self, ndigits: SupportsIndex, /) -> float: ... def __eq__(self, value: object, /) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __lt__(self, value: float, /) -> bool: ... def __le__(self, value: float, /) -> bool: ... def __gt__(self, value: float, /) -> bool: ... def __ge__(self, value: float, /) -> bool: ... def __neg__(self) -> float: ... def __pos__(self) -> float: ... def __int__(self) -> int: ... def __float__(self) -> float: ... def __abs__(self) -> float: ... def __hash__(self) -> int: ... def __bool__(self) -> bool: ... def __format__(self, format_spec: str, /) -> str: ... if sys.version_info >= (3, 14): @classmethod def from_number(cls, number: float | SupportsIndex | SupportsFloat, /) -> Self: ... @disjoint_base class complex: # Python doesn't currently accept SupportsComplex for the second argument @overload def __new__( cls, real: complex | SupportsComplex | SupportsFloat | SupportsIndex = 0, imag: complex | SupportsFloat | SupportsIndex = 0, ) -> Self: ... @overload def __new__(cls, real: str | SupportsComplex | SupportsFloat | SupportsIndex | complex) -> Self: ... @property def real(self) -> float: ... @property def imag(self) -> float: ... def conjugate(self) -> complex: ... def __add__(self, value: complex, /) -> complex: ... def __sub__(self, value: complex, /) -> complex: ... def __mul__(self, value: complex, /) -> complex: ... def __pow__(self, value: complex, mod: None = None, /) -> complex: ... def __truediv__(self, value: complex, /) -> complex: ... def __radd__(self, value: complex, /) -> complex: ... def __rsub__(self, value: complex, /) -> complex: ... def __rmul__(self, value: complex, /) -> complex: ... def __rpow__(self, value: complex, mod: None = None, /) -> complex: ... def __rtruediv__(self, value: complex, /) -> complex: ... def __eq__(self, value: object, /) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __neg__(self) -> complex: ... def __pos__(self) -> complex: ... def __abs__(self) -> float: ... def __hash__(self) -> int: ... def __bool__(self) -> bool: ... def __format__(self, format_spec: str, /) -> str: ... if sys.version_info >= (3, 11): def __complex__(self) -> complex: ... if sys.version_info >= (3, 14): @classmethod def from_number(cls, number: complex | SupportsComplex | SupportsFloat | SupportsIndex, /) -> Self: ... @type_check_only class _FormatMapMapping(Protocol): def __getitem__(self, key: str, /) -> Any: ... @type_check_only class _TranslateTable(Protocol): def __getitem__(self, key: int, /) -> str | int | None: ... @disjoint_base class str(Sequence[str]): @overload def __new__(cls, object: object = "") -> Self: ... @overload def __new__(cls, object: ReadableBuffer, encoding: str = "utf-8", errors: str = "strict") -> Self: ... def capitalize(self) -> str: ... # type: ignore[misc] def casefold(self) -> str: ... # type: ignore[misc] def center(self, width: SupportsIndex, fillchar: str = " ", /) -> str: ... # type: ignore[misc] def count(self, sub: str, start: SupportsIndex | None = None, end: SupportsIndex | None = None, /) -> int: ... def encode(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: ... def endswith( self, suffix: str | tuple[str, ...], start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> bool: ... def expandtabs(self, tabsize: SupportsIndex = 8) -> str: ... # type: ignore[misc] def find(self, sub: str, start: SupportsIndex | None = None, end: SupportsIndex | None = None, /) -> int: ... def format(self, *args: object, **kwargs: object) -> str: ... def format_map(self, mapping: _FormatMapMapping, /) -> str: ... def index(self, sub: str, start: SupportsIndex | None = None, end: SupportsIndex | None = None, /) -> int: ... def isalnum(self) -> bool: ... def isalpha(self) -> bool: ... def isascii(self) -> bool: ... def isdecimal(self) -> bool: ... def isdigit(self) -> bool: ... def isidentifier(self) -> bool: ... def islower(self) -> bool: ... def isnumeric(self) -> bool: ... def isprintable(self) -> bool: ... def isspace(self) -> bool: ... def istitle(self) -> bool: ... def isupper(self) -> bool: ... def join(self, iterable: Iterable[str], /) -> str: ... # type: ignore[misc] def ljust(self, width: SupportsIndex, fillchar: str = " ", /) -> str: ... # type: ignore[misc] def lower(self) -> str: ... # type: ignore[misc] def lstrip(self, chars: str | None = None, /) -> str: ... # type: ignore[misc] def partition(self, sep: str, /) -> tuple[str, str, str]: ... # type: ignore[misc] if sys.version_info >= (3, 13): def replace(self, old: str, new: str, /, count: SupportsIndex = -1) -> str: ... # type: ignore[misc] else: def replace(self, old: str, new: str, count: SupportsIndex = -1, /) -> str: ... # type: ignore[misc] def removeprefix(self, prefix: str, /) -> str: ... # type: ignore[misc] def removesuffix(self, suffix: str, /) -> str: ... # type: ignore[misc] def rfind(self, sub: str, start: SupportsIndex | None = None, end: SupportsIndex | None = None, /) -> int: ... def rindex(self, sub: str, start: SupportsIndex | None = None, end: SupportsIndex | None = None, /) -> int: ... def rjust(self, width: SupportsIndex, fillchar: str = " ", /) -> str: ... # type: ignore[misc] def rpartition(self, sep: str, /) -> tuple[str, str, str]: ... # type: ignore[misc] def rsplit(self, sep: str | None = None, maxsplit: SupportsIndex = -1) -> list[str]: ... # type: ignore[misc] def rstrip(self, chars: str | None = None, /) -> str: ... # type: ignore[misc] def split(self, sep: str | None = None, maxsplit: SupportsIndex = -1) -> list[str]: ... # type: ignore[misc] def splitlines(self, keepends: bool = False) -> list[str]: ... # type: ignore[misc] def startswith( self, prefix: str | tuple[str, ...], start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> bool: ... def strip(self, chars: str | None = None, /) -> str: ... # type: ignore[misc] def swapcase(self) -> str: ... # type: ignore[misc] def title(self) -> str: ... # type: ignore[misc] def translate(self, table: _TranslateTable, /) -> str: ... def upper(self) -> str: ... # type: ignore[misc] def zfill(self, width: SupportsIndex, /) -> str: ... # type: ignore[misc] @staticmethod @overload def maketrans(x: dict[int, _T] | dict[str, _T] | dict[str | int, _T], /) -> dict[int, _T]: ... @staticmethod @overload def maketrans(x: str, y: str, /) -> dict[int, int]: ... @staticmethod @overload def maketrans(x: str, y: str, z: str, /) -> dict[int, int | None]: ... def __add__(self, value: str, /) -> str: ... # type: ignore[misc] # Incompatible with Sequence.__contains__ def __contains__(self, key: str, /) -> bool: ... # type: ignore[override] def __eq__(self, value: object, /) -> bool: ... def __ge__(self, value: str, /) -> bool: ... def __getitem__(self, key: SupportsIndex | slice, /) -> str: ... def __gt__(self, value: str, /) -> bool: ... def __hash__(self) -> int: ... def __iter__(self) -> Iterator[str]: ... # type: ignore[misc] def __le__(self, value: str, /) -> bool: ... def __len__(self) -> int: ... def __lt__(self, value: str, /) -> bool: ... def __mod__(self, value: Any, /) -> str: ... def __mul__(self, value: SupportsIndex, /) -> str: ... # type: ignore[misc] def __ne__(self, value: object, /) -> bool: ... def __rmul__(self, value: SupportsIndex, /) -> str: ... # type: ignore[misc] def __getnewargs__(self) -> tuple[str]: ... def __format__(self, format_spec: str, /) -> str: ... @disjoint_base class bytes(Sequence[int]): @overload def __new__(cls, o: Iterable[SupportsIndex] | SupportsIndex | SupportsBytes | ReadableBuffer, /) -> Self: ... @overload def __new__(cls, string: str, /, encoding: str, errors: str = "strict") -> Self: ... @overload def __new__(cls) -> Self: ... def capitalize(self) -> bytes: ... def center(self, width: SupportsIndex, fillchar: bytes = b" ", /) -> bytes: ... def count( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: ... def endswith( self, suffix: ReadableBuffer | tuple[ReadableBuffer, ...], start: SupportsIndex | None = None, end: SupportsIndex | None = None, /, ) -> bool: ... def expandtabs(self, tabsize: SupportsIndex = 8) -> bytes: ... def find( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def hex(self, sep: str | bytes = ..., bytes_per_sep: SupportsIndex = 1) -> str: ... def index( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def isalnum(self) -> bool: ... def isalpha(self) -> bool: ... def isascii(self) -> bool: ... def isdigit(self) -> bool: ... def islower(self) -> bool: ... def isspace(self) -> bool: ... def istitle(self) -> bool: ... def isupper(self) -> bool: ... def join(self, iterable_of_bytes: Iterable[ReadableBuffer], /) -> bytes: ... def ljust(self, width: SupportsIndex, fillchar: bytes | bytearray = b" ", /) -> bytes: ... def lower(self) -> bytes: ... def lstrip(self, bytes: ReadableBuffer | None = None, /) -> bytes: ... def partition(self, sep: ReadableBuffer, /) -> tuple[bytes, bytes, bytes]: ... def replace(self, old: ReadableBuffer, new: ReadableBuffer, count: SupportsIndex = -1, /) -> bytes: ... def removeprefix(self, prefix: ReadableBuffer, /) -> bytes: ... def removesuffix(self, suffix: ReadableBuffer, /) -> bytes: ... def rfind( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def rindex( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def rjust(self, width: SupportsIndex, fillchar: bytes | bytearray = b" ", /) -> bytes: ... def rpartition(self, sep: ReadableBuffer, /) -> tuple[bytes, bytes, bytes]: ... def rsplit(self, sep: ReadableBuffer | None = None, maxsplit: SupportsIndex = -1) -> list[bytes]: ... def rstrip(self, bytes: ReadableBuffer | None = None, /) -> bytes: ... def split(self, sep: ReadableBuffer | None = None, maxsplit: SupportsIndex = -1) -> list[bytes]: ... def splitlines(self, keepends: bool = False) -> list[bytes]: ... def startswith( self, prefix: ReadableBuffer | tuple[ReadableBuffer, ...], start: SupportsIndex | None = None, end: SupportsIndex | None = None, /, ) -> bool: ... def strip(self, bytes: ReadableBuffer | None = None, /) -> bytes: ... def swapcase(self) -> bytes: ... def title(self) -> bytes: ... def translate(self, table: ReadableBuffer | None, /, delete: ReadableBuffer = b"") -> bytes: ... def upper(self) -> bytes: ... def zfill(self, width: SupportsIndex, /) -> bytes: ... @classmethod def fromhex(cls, string: str, /) -> Self: ... @staticmethod def maketrans(frm: ReadableBuffer, to: ReadableBuffer, /) -> bytes: ... def __len__(self) -> int: ... def __iter__(self) -> Iterator[int]: ... def __hash__(self) -> int: ... @overload def __getitem__(self, key: SupportsIndex, /) -> int: ... @overload def __getitem__(self, key: slice, /) -> bytes: ... def __add__(self, value: ReadableBuffer, /) -> bytes: ... def __mul__(self, value: SupportsIndex, /) -> bytes: ... def __rmul__(self, value: SupportsIndex, /) -> bytes: ... def __mod__(self, value: Any, /) -> bytes: ... # Incompatible with Sequence.__contains__ def __contains__(self, key: SupportsIndex | ReadableBuffer, /) -> bool: ... # type: ignore[override] def __eq__(self, value: object, /) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __lt__(self, value: bytes, /) -> bool: ... def __le__(self, value: bytes, /) -> bool: ... def __gt__(self, value: bytes, /) -> bool: ... def __ge__(self, value: bytes, /) -> bool: ... def __getnewargs__(self) -> tuple[bytes]: ... if sys.version_info >= (3, 11): def __bytes__(self) -> bytes: ... def __buffer__(self, flags: int, /) -> memoryview: ... @disjoint_base class bytearray(MutableSequence[int]): @overload def __init__(self) -> None: ... @overload def __init__(self, ints: Iterable[SupportsIndex] | SupportsIndex | ReadableBuffer, /) -> None: ... @overload def __init__(self, string: str, /, encoding: str, errors: str = "strict") -> None: ... def append(self, item: SupportsIndex, /) -> None: ... def capitalize(self) -> bytearray: ... def center(self, width: SupportsIndex, fillchar: bytes = b" ", /) -> bytearray: ... def count( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def copy(self) -> bytearray: ... def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: ... def endswith( self, suffix: ReadableBuffer | tuple[ReadableBuffer, ...], start: SupportsIndex | None = None, end: SupportsIndex | None = None, /, ) -> bool: ... def expandtabs(self, tabsize: SupportsIndex = 8) -> bytearray: ... def extend(self, iterable_of_ints: Iterable[SupportsIndex], /) -> None: ... def find( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def hex(self, sep: str | bytes = ..., bytes_per_sep: SupportsIndex = 1) -> str: ... def index( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def insert(self, index: SupportsIndex, item: SupportsIndex, /) -> None: ... def isalnum(self) -> bool: ... def isalpha(self) -> bool: ... def isascii(self) -> bool: ... def isdigit(self) -> bool: ... def islower(self) -> bool: ... def isspace(self) -> bool: ... def istitle(self) -> bool: ... def isupper(self) -> bool: ... def join(self, iterable_of_bytes: Iterable[ReadableBuffer], /) -> bytearray: ... def ljust(self, width: SupportsIndex, fillchar: bytes | bytearray = b" ", /) -> bytearray: ... def lower(self) -> bytearray: ... def lstrip(self, bytes: ReadableBuffer | None = None, /) -> bytearray: ... def partition(self, sep: ReadableBuffer, /) -> tuple[bytearray, bytearray, bytearray]: ... def pop(self, index: int = -1, /) -> int: ... def remove(self, value: int, /) -> None: ... def removeprefix(self, prefix: ReadableBuffer, /) -> bytearray: ... def removesuffix(self, suffix: ReadableBuffer, /) -> bytearray: ... def replace(self, old: ReadableBuffer, new: ReadableBuffer, count: SupportsIndex = -1, /) -> bytearray: ... def rfind( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def rindex( self, sub: ReadableBuffer | SupportsIndex, start: SupportsIndex | None = None, end: SupportsIndex | None = None, / ) -> int: ... def rjust(self, width: SupportsIndex, fillchar: bytes | bytearray = b" ", /) -> bytearray: ... def rpartition(self, sep: ReadableBuffer, /) -> tuple[bytearray, bytearray, bytearray]: ... def rsplit(self, sep: ReadableBuffer | None = None, maxsplit: SupportsIndex = -1) -> list[bytearray]: ... def rstrip(self, bytes: ReadableBuffer | None = None, /) -> bytearray: ... def split(self, sep: ReadableBuffer | None = None, maxsplit: SupportsIndex = -1) -> list[bytearray]: ... def splitlines(self, keepends: bool = False) -> list[bytearray]: ... def startswith( self, prefix: ReadableBuffer | tuple[ReadableBuffer, ...], start: SupportsIndex | None = None, end: SupportsIndex | None = None, /, ) -> bool: ... def strip(self, bytes: ReadableBuffer | None = None, /) -> bytearray: ... def swapcase(self) -> bytearray: ... def title(self) -> bytearray: ... def translate(self, table: ReadableBuffer | None, /, delete: bytes = b"") -> bytearray: ... def upper(self) -> bytearray: ... def zfill(self, width: SupportsIndex, /) -> bytearray: ... @classmethod def fromhex(cls, string: str, /) -> Self: ... @staticmethod def maketrans(frm: ReadableBuffer, to: ReadableBuffer, /) -> bytes: ... def __len__(self) -> int: ... def __iter__(self) -> Iterator[int]: ... __hash__: ClassVar[None] # type: ignore[assignment] @overload def __getitem__(self, key: SupportsIndex, /) -> int: ... @overload def __getitem__(self, key: slice, /) -> bytearray: ... @overload def __setitem__(self, key: SupportsIndex, value: SupportsIndex, /) -> None: ... @overload def __setitem__(self, key: slice, value: Iterable[SupportsIndex] | bytes, /) -> None: ... def __delitem__(self, key: SupportsIndex | slice, /) -> None: ... def __add__(self, value: ReadableBuffer, /) -> bytearray: ... # The superclass wants us to accept Iterable[int], but that fails at runtime. def __iadd__(self, value: ReadableBuffer, /) -> Self: ... # type: ignore[override] def __mul__(self, value: SupportsIndex, /) -> bytearray: ... def __rmul__(self, value: SupportsIndex, /) -> bytearray: ... def __imul__(self, value: SupportsIndex, /) -> Self: ... def __mod__(self, value: Any, /) -> bytes: ... # Incompatible with Sequence.__contains__ def __contains__(self, key: SupportsIndex | ReadableBuffer, /) -> bool: ... # type: ignore[override] def __eq__(self, value: object, /) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __lt__(self, value: ReadableBuffer, /) -> bool: ... def __le__(self, value: ReadableBuffer, /) -> bool: ... def __gt__(self, value: ReadableBuffer, /) -> bool: ... def __ge__(self, value: ReadableBuffer, /) -> bool: ... def __alloc__(self) -> int: ... def __buffer__(self, flags: int, /) -> memoryview: ... def __release_buffer__(self, buffer: memoryview, /) -> None: ... if sys.version_info >= (3, 14): def resize(self, size: int, /) -> None: ... _IntegerFormats: TypeAlias = Literal[ "b", "B", "@b", "@B", "h", "H", "@h", "@H", "i", "I", "@i", "@I", "l", "L", "@l", "@L", "q", "Q", "@q", "@Q", "P", "@P" ] @final class memoryview(Sequence[_I]): @property def format(self) -> str: ... @property def itemsize(self) -> int: ... @property def shape(self) -> tuple[int, ...] | None: ... @property def strides(self) -> tuple[int, ...] | None: ... @property def suboffsets(self) -> tuple[int, ...] | None: ... @property def readonly(self) -> bool: ... @property def ndim(self) -> int: ... @property def obj(self) -> ReadableBuffer: ... @property def c_contiguous(self) -> bool: ... @property def f_contiguous(self) -> bool: ... @property def contiguous(self) -> bool: ... @property def nbytes(self) -> int: ... def __new__(cls, obj: ReadableBuffer) -> Self: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, # noqa: PYI036 # This is the module declaring BaseException exc_val: BaseException | None, exc_tb: TracebackType | None, /, ) -> None: ... @overload def cast(self, format: Literal["c", "@c"], shape: list[int] | tuple[int, ...] = ...) -> memoryview[bytes]: ... @overload def cast(self, format: Literal["f", "@f", "d", "@d"], shape: list[int] | tuple[int, ...] = ...) -> memoryview[float]: ... @overload def cast(self, format: Literal["?"], shape: list[int] | tuple[int, ...] = ...) -> memoryview[bool]: ... @overload def cast(self, format: _IntegerFormats, shape: list[int] | tuple[int, ...] = ...) -> memoryview: ... @overload def __getitem__(self, key: SupportsIndex | tuple[SupportsIndex, ...], /) -> _I: ... @overload def __getitem__(self, key: slice, /) -> memoryview[_I]: ... def __contains__(self, x: object, /) -> bool: ... def __iter__(self) -> Iterator[_I]: ... def __len__(self) -> int: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... @overload def __setitem__(self, key: slice, value: ReadableBuffer, /) -> None: ... @overload def __setitem__(self, key: SupportsIndex | tuple[SupportsIndex, ...], value: _I, /) -> None: ... if sys.version_info >= (3, 10): def tobytes(self, order: Literal["C", "F", "A"] | None = "C") -> bytes: ... else: def tobytes(self, order: Literal["C", "F", "A"] | None = None) -> bytes: ... def tolist(self) -> list[int]: ... def toreadonly(self) -> memoryview: ... def release(self) -> None: ... def hex(self, sep: str | bytes = ..., bytes_per_sep: SupportsIndex = 1) -> str: ... def __buffer__(self, flags: int, /) -> memoryview: ... def __release_buffer__(self, buffer: memoryview, /) -> None: ... # These are inherited from the Sequence ABC, but don't actually exist on memoryview. # See https://github.com/python/cpython/issues/125420 index: ClassVar[None] # type: ignore[assignment] count: ClassVar[None] # type: ignore[assignment] if sys.version_info >= (3, 14): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @final class bool(int): def __new__(cls, o: object = False, /) -> Self: ... # The following overloads could be represented more elegantly with a TypeVar("_B", bool, int), # however mypy has a bug regarding TypeVar constraints (https://github.com/python/mypy/issues/11880). @overload def __and__(self, value: bool, /) -> bool: ... @overload def __and__(self, value: int, /) -> int: ... @overload def __or__(self, value: bool, /) -> bool: ... @overload def __or__(self, value: int, /) -> int: ... @overload def __xor__(self, value: bool, /) -> bool: ... @overload def __xor__(self, value: int, /) -> int: ... @overload def __rand__(self, value: bool, /) -> bool: ... @overload def __rand__(self, value: int, /) -> int: ... @overload def __ror__(self, value: bool, /) -> bool: ... @overload def __ror__(self, value: int, /) -> int: ... @overload def __rxor__(self, value: bool, /) -> bool: ... @overload def __rxor__(self, value: int, /) -> int: ... def __getnewargs__(self) -> tuple[int]: ... @deprecated("Will throw an error in Python 3.16. Use `not` for logical negation of bools instead.") def __invert__(self) -> int: ... @final class slice(Generic[_StartT_co, _StopT_co, _StepT_co]): @property def start(self) -> _StartT_co: ... @property def step(self) -> _StepT_co: ... @property def stop(self) -> _StopT_co: ... # Note: __new__ overloads map `None` to `Any`, since users expect slice(x, None) # to be compatible with slice(None, x). # generic slice -------------------------------------------------------------------- @overload def __new__(cls, start: None, stop: None = None, step: None = None, /) -> slice[Any, Any, Any]: ... # unary overloads ------------------------------------------------------------------ @overload def __new__(cls, stop: _T2, /) -> slice[Any, _T2, Any]: ... # binary overloads ----------------------------------------------------------------- @overload def __new__(cls, start: _T1, stop: None, step: None = None, /) -> slice[_T1, Any, Any]: ... @overload def __new__(cls, start: None, stop: _T2, step: None = None, /) -> slice[Any, _T2, Any]: ... @overload def __new__(cls, start: _T1, stop: _T2, step: None = None, /) -> slice[_T1, _T2, Any]: ... # ternary overloads ---------------------------------------------------------------- @overload def __new__(cls, start: None, stop: None, step: _T3, /) -> slice[Any, Any, _T3]: ... @overload def __new__(cls, start: _T1, stop: None, step: _T3, /) -> slice[_T1, Any, _T3]: ... @overload def __new__(cls, start: None, stop: _T2, step: _T3, /) -> slice[Any, _T2, _T3]: ... @overload def __new__(cls, start: _T1, stop: _T2, step: _T3, /) -> slice[_T1, _T2, _T3]: ... def __eq__(self, value: object, /) -> bool: ... if sys.version_info >= (3, 12): def __hash__(self) -> int: ... else: __hash__: ClassVar[None] # type: ignore[assignment] def indices(self, len: SupportsIndex, /) -> tuple[int, int, int]: ... @disjoint_base class tuple(Sequence[_T_co]): def __new__(cls, iterable: Iterable[_T_co] = (), /) -> Self: ... def __len__(self) -> int: ... def __contains__(self, key: object, /) -> bool: ... @overload def __getitem__(self, key: SupportsIndex, /) -> _T_co: ... @overload def __getitem__(self, key: slice, /) -> tuple[_T_co, ...]: ... def __iter__(self) -> Iterator[_T_co]: ... def __lt__(self, value: tuple[_T_co, ...], /) -> bool: ... def __le__(self, value: tuple[_T_co, ...], /) -> bool: ... def __gt__(self, value: tuple[_T_co, ...], /) -> bool: ... def __ge__(self, value: tuple[_T_co, ...], /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... @overload def __add__(self, value: tuple[_T_co, ...], /) -> tuple[_T_co, ...]: ... @overload def __add__(self, value: tuple[_T, ...], /) -> tuple[_T_co | _T, ...]: ... def __mul__(self, value: SupportsIndex, /) -> tuple[_T_co, ...]: ... def __rmul__(self, value: SupportsIndex, /) -> tuple[_T_co, ...]: ... def count(self, value: Any, /) -> int: ... def index(self, value: Any, start: SupportsIndex = 0, stop: SupportsIndex = sys.maxsize, /) -> int: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... # Doesn't exist at runtime, but deleting this breaks mypy and pyright. See: # https://github.com/python/typeshed/issues/7580 # https://github.com/python/mypy/issues/8240 # Obsolete, use types.FunctionType instead. @final @type_check_only class function: # Make sure this class definition stays roughly in line with `types.FunctionType` @property def __closure__(self) -> tuple[CellType, ...] | None: ... __code__: CodeType __defaults__: tuple[Any, ...] | None __dict__: dict[str, Any] @property def __globals__(self) -> dict[str, Any]: ... __name__: str __qualname__: str __annotations__: dict[str, AnnotationForm] if sys.version_info >= (3, 14): __annotate__: AnnotateFunc | None __kwdefaults__: dict[str, Any] | None if sys.version_info >= (3, 10): @property def __builtins__(self) -> dict[str, Any]: ... if sys.version_info >= (3, 12): __type_params__: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] __module__: str if sys.version_info >= (3, 13): def __new__( cls, code: CodeType, globals: dict[str, Any], name: str | None = None, argdefs: tuple[object, ...] | None = None, closure: tuple[CellType, ...] | None = None, kwdefaults: dict[str, object] | None = None, ) -> Self: ... else: def __new__( cls, code: CodeType, globals: dict[str, Any], name: str | None = None, argdefs: tuple[object, ...] | None = None, closure: tuple[CellType, ...] | None = None, ) -> Self: ... # mypy uses `builtins.function.__get__` to represent methods, properties, and getset_descriptors so we type the return as Any. def __get__(self, instance: object, owner: type | None = None, /) -> Any: ... @disjoint_base class list(MutableSequence[_T]): @overload def __init__(self) -> None: ... @overload def __init__(self, iterable: Iterable[_T], /) -> None: ... def copy(self) -> list[_T]: ... def append(self, object: _T, /) -> None: ... def extend(self, iterable: Iterable[_T], /) -> None: ... def pop(self, index: SupportsIndex = -1, /) -> _T: ... # Signature of `list.index` should be kept in line with `collections.UserList.index()` # and multiprocessing.managers.ListProxy.index() def index(self, value: _T, start: SupportsIndex = 0, stop: SupportsIndex = sys.maxsize, /) -> int: ... def count(self, value: _T, /) -> int: ... def insert(self, index: SupportsIndex, object: _T, /) -> None: ... def remove(self, value: _T, /) -> None: ... # Signature of `list.sort` should be kept inline with `collections.UserList.sort()` # and multiprocessing.managers.ListProxy.sort() # # Use list[SupportsRichComparisonT] for the first overload rather than [SupportsRichComparison] # to work around invariance @overload def sort(self: list[SupportsRichComparisonT], *, key: None = None, reverse: bool = False) -> None: ... @overload def sort(self, *, key: Callable[[_T], SupportsRichComparison], reverse: bool = False) -> None: ... def __len__(self) -> int: ... def __iter__(self) -> Iterator[_T]: ... __hash__: ClassVar[None] # type: ignore[assignment] @overload def __getitem__(self, i: SupportsIndex, /) -> _T: ... @overload def __getitem__(self, s: slice, /) -> list[_T]: ... @overload def __setitem__(self, key: SupportsIndex, value: _T, /) -> None: ... @overload def __setitem__(self, key: slice, value: Iterable[_T], /) -> None: ... def __delitem__(self, key: SupportsIndex | slice, /) -> None: ... # Overloading looks unnecessary, but is needed to work around complex mypy problems @overload def __add__(self, value: list[_T], /) -> list[_T]: ... @overload def __add__(self, value: list[_S], /) -> list[_S | _T]: ... def __iadd__(self, value: Iterable[_T], /) -> Self: ... # type: ignore[misc] def __mul__(self, value: SupportsIndex, /) -> list[_T]: ... def __rmul__(self, value: SupportsIndex, /) -> list[_T]: ... def __imul__(self, value: SupportsIndex, /) -> Self: ... def __contains__(self, key: object, /) -> bool: ... def __reversed__(self) -> Iterator[_T]: ... def __gt__(self, value: list[_T], /) -> bool: ... def __ge__(self, value: list[_T], /) -> bool: ... def __lt__(self, value: list[_T], /) -> bool: ... def __le__(self, value: list[_T], /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @disjoint_base class dict(MutableMapping[_KT, _VT]): # __init__ should be kept roughly in line with `collections.UserDict.__init__`, which has similar semantics # Also multiprocessing.managers.SyncManager.dict() @overload def __init__(self) -> None: ... @overload def __init__(self: dict[str, _VT], **kwargs: _VT) -> None: ... # pyright: ignore[reportInvalidTypeVarUse] #11780 @overload def __init__(self, map: SupportsKeysAndGetItem[_KT, _VT], /) -> None: ... @overload def __init__( self: dict[str, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 map: SupportsKeysAndGetItem[str, _VT], /, **kwargs: _VT, ) -> None: ... @overload def __init__(self, iterable: Iterable[tuple[_KT, _VT]], /) -> None: ... @overload def __init__( self: dict[str, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 iterable: Iterable[tuple[str, _VT]], /, **kwargs: _VT, ) -> None: ... # Next two overloads are for dict(string.split(sep) for string in iterable) # Cannot be Iterable[Sequence[_T]] or otherwise dict(["foo", "bar", "baz"]) is not an error @overload def __init__(self: dict[str, str], iterable: Iterable[list[str]], /) -> None: ... @overload def __init__(self: dict[bytes, bytes], iterable: Iterable[list[bytes]], /) -> None: ... def __new__(cls, *args: Any, **kwargs: Any) -> Self: ... def copy(self) -> dict[_KT, _VT]: ... def keys(self) -> dict_keys[_KT, _VT]: ... def values(self) -> dict_values[_KT, _VT]: ... def items(self) -> dict_items[_KT, _VT]: ... # Signature of `dict.fromkeys` should be kept identical to # `fromkeys` methods of `OrderedDict`/`ChainMap`/`UserDict` in `collections` # TODO: the true signature of `dict.fromkeys` is not expressible in the current type system. # See #3800 & https://github.com/python/typing/issues/548#issuecomment-683336963. @classmethod @overload def fromkeys(cls, iterable: Iterable[_T], value: None = None, /) -> dict[_T, Any | None]: ... @classmethod @overload def fromkeys(cls, iterable: Iterable[_T], value: _S, /) -> dict[_T, _S]: ... # Positional-only in dict, but not in MutableMapping @overload # type: ignore[override] def get(self, key: _KT, default: None = None, /) -> _VT | None: ... @overload def get(self, key: _KT, default: _VT, /) -> _VT: ... @overload def get(self, key: _KT, default: _T, /) -> _VT | _T: ... @overload def pop(self, key: _KT, /) -> _VT: ... @overload def pop(self, key: _KT, default: _VT, /) -> _VT: ... @overload def pop(self, key: _KT, default: _T, /) -> _VT | _T: ... def __len__(self) -> int: ... def __getitem__(self, key: _KT, /) -> _VT: ... def __setitem__(self, key: _KT, value: _VT, /) -> None: ... def __delitem__(self, key: _KT, /) -> None: ... def __iter__(self) -> Iterator[_KT]: ... def __eq__(self, value: object, /) -> bool: ... def __reversed__(self) -> Iterator[_KT]: ... __hash__: ClassVar[None] # type: ignore[assignment] def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @overload def __or__(self, value: dict[_KT, _VT], /) -> dict[_KT, _VT]: ... @overload def __or__(self, value: dict[_T1, _T2], /) -> dict[_KT | _T1, _VT | _T2]: ... @overload def __ror__(self, value: dict[_KT, _VT], /) -> dict[_KT, _VT]: ... @overload def __ror__(self, value: dict[_T1, _T2], /) -> dict[_KT | _T1, _VT | _T2]: ... # dict.__ior__ should be kept roughly in line with MutableMapping.update() @overload # type: ignore[misc] def __ior__(self, value: SupportsKeysAndGetItem[_KT, _VT], /) -> Self: ... @overload def __ior__(self, value: Iterable[tuple[_KT, _VT]], /) -> Self: ... @disjoint_base class set(MutableSet[_T]): @overload def __init__(self) -> None: ... @overload def __init__(self, iterable: Iterable[_T], /) -> None: ... def add(self, element: _T, /) -> None: ... def copy(self) -> set[_T]: ... def difference(self, *s: Iterable[Any]) -> set[_T]: ... def difference_update(self, *s: Iterable[Any]) -> None: ... def discard(self, element: _T, /) -> None: ... def intersection(self, *s: Iterable[Any]) -> set[_T]: ... def intersection_update(self, *s: Iterable[Any]) -> None: ... def isdisjoint(self, s: Iterable[Any], /) -> bool: ... def issubset(self, s: Iterable[Any], /) -> bool: ... def issuperset(self, s: Iterable[Any], /) -> bool: ... def remove(self, element: _T, /) -> None: ... def symmetric_difference(self, s: Iterable[_T], /) -> set[_T]: ... def symmetric_difference_update(self, s: Iterable[_T], /) -> None: ... def union(self, *s: Iterable[_S]) -> set[_T | _S]: ... def update(self, *s: Iterable[_T]) -> None: ... def __len__(self) -> int: ... def __contains__(self, o: object, /) -> bool: ... def __iter__(self) -> Iterator[_T]: ... def __and__(self, value: AbstractSet[object], /) -> set[_T]: ... def __iand__(self, value: AbstractSet[object], /) -> Self: ... def __or__(self, value: AbstractSet[_S], /) -> set[_T | _S]: ... def __ior__(self, value: AbstractSet[_T], /) -> Self: ... # type: ignore[override,misc] def __sub__(self, value: AbstractSet[_T | None], /) -> set[_T]: ... def __isub__(self, value: AbstractSet[object], /) -> Self: ... def __xor__(self, value: AbstractSet[_S], /) -> set[_T | _S]: ... def __ixor__(self, value: AbstractSet[_T], /) -> Self: ... # type: ignore[override,misc] def __le__(self, value: AbstractSet[object], /) -> bool: ... def __lt__(self, value: AbstractSet[object], /) -> bool: ... def __ge__(self, value: AbstractSet[object], /) -> bool: ... def __gt__(self, value: AbstractSet[object], /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @disjoint_base class frozenset(AbstractSet[_T_co]): @overload def __new__(cls) -> Self: ... @overload def __new__(cls, iterable: Iterable[_T_co], /) -> Self: ... def copy(self) -> frozenset[_T_co]: ... def difference(self, *s: Iterable[object]) -> frozenset[_T_co]: ... def intersection(self, *s: Iterable[object]) -> frozenset[_T_co]: ... def isdisjoint(self, s: Iterable[_T_co], /) -> bool: ... def issubset(self, s: Iterable[object], /) -> bool: ... def issuperset(self, s: Iterable[object], /) -> bool: ... def symmetric_difference(self, s: Iterable[_T_co], /) -> frozenset[_T_co]: ... def union(self, *s: Iterable[_S]) -> frozenset[_T_co | _S]: ... def __len__(self) -> int: ... def __contains__(self, o: object, /) -> bool: ... def __iter__(self) -> Iterator[_T_co]: ... def __and__(self, value: AbstractSet[_T_co], /) -> frozenset[_T_co]: ... def __or__(self, value: AbstractSet[_S], /) -> frozenset[_T_co | _S]: ... def __sub__(self, value: AbstractSet[_T_co], /) -> frozenset[_T_co]: ... def __xor__(self, value: AbstractSet[_S], /) -> frozenset[_T_co | _S]: ... def __le__(self, value: AbstractSet[object], /) -> bool: ... def __lt__(self, value: AbstractSet[object], /) -> bool: ... def __ge__(self, value: AbstractSet[object], /) -> bool: ... def __gt__(self, value: AbstractSet[object], /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @disjoint_base class enumerate(Iterator[tuple[int, _T]]): def __new__(cls, iterable: Iterable[_T], start: int = 0) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> tuple[int, _T]: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @final class range(Sequence[int]): @property def start(self) -> int: ... @property def stop(self) -> int: ... @property def step(self) -> int: ... @overload def __new__(cls, stop: SupportsIndex, /) -> Self: ... @overload def __new__(cls, start: SupportsIndex, stop: SupportsIndex, step: SupportsIndex = 1, /) -> Self: ... def count(self, value: int, /) -> int: ... def index(self, value: int, /) -> int: ... # type: ignore[override] def __len__(self) -> int: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... def __contains__(self, key: object, /) -> bool: ... def __iter__(self) -> Iterator[int]: ... @overload def __getitem__(self, key: SupportsIndex, /) -> int: ... @overload def __getitem__(self, key: slice, /) -> range: ... def __reversed__(self) -> Iterator[int]: ... @disjoint_base class property: fget: Callable[[Any], Any] | None fset: Callable[[Any, Any], None] | None fdel: Callable[[Any], None] | None __isabstractmethod__: bool if sys.version_info >= (3, 13): __name__: str def __init__( self, fget: Callable[[Any], Any] | None = None, fset: Callable[[Any, Any], None] | None = None, fdel: Callable[[Any], None] | None = None, doc: str | None = None, ) -> None: ... def getter(self, fget: Callable[[Any], Any], /) -> property: ... def setter(self, fset: Callable[[Any, Any], None], /) -> property: ... def deleter(self, fdel: Callable[[Any], None], /) -> property: ... @overload def __get__(self, instance: None, owner: type, /) -> Self: ... @overload def __get__(self, instance: Any, owner: type | None = None, /) -> Any: ... def __set__(self, instance: Any, value: Any, /) -> None: ... def __delete__(self, instance: Any, /) -> None: ... def abs(x: SupportsAbs[_T], /) -> _T: ... def all(iterable: Iterable[object], /) -> bool: ... def any(iterable: Iterable[object], /) -> bool: ... def ascii(obj: object, /) -> str: ... def bin(number: int | SupportsIndex, /) -> str: ... def breakpoint(*args: Any, **kws: Any) -> None: ... def callable(obj: object, /) -> TypeIs[Callable[..., object]]: ... def chr(i: int | SupportsIndex, /) -> str: ... if sys.version_info >= (3, 10): def aiter(async_iterable: SupportsAiter[_SupportsAnextT_co], /) -> _SupportsAnextT_co: ... @type_check_only class _SupportsSynchronousAnext(Protocol[_AwaitableT_co]): def __anext__(self) -> _AwaitableT_co: ... @overload # `anext` is not, in fact, an async function. When default is not provided # `anext` is just a passthrough for `obj.__anext__` # See discussion in #7491 and pure-Python implementation of `anext` at https://github.com/python/cpython/blob/ea786a882b9ed4261eafabad6011bc7ef3b5bf94/Lib/test/test_asyncgen.py#L52-L80 def anext(i: _SupportsSynchronousAnext[_AwaitableT], /) -> _AwaitableT: ... @overload async def anext(i: SupportsAnext[_T], default: _VT, /) -> _T | _VT: ... # compile() returns a CodeType, unless the flags argument includes PyCF_ONLY_AST (=1024), # in which case it returns ast.AST. We have overloads for flag 0 (the default) and for # explicitly passing PyCF_ONLY_AST. We fall back to Any for other values of flags. @overload def compile( source: str | ReadableBuffer | _ast.Module | _ast.Expression | _ast.Interactive, filename: str | bytes | PathLike[Any], mode: str, flags: Literal[0], dont_inherit: bool = False, optimize: int = -1, *, _feature_version: int = -1, ) -> CodeType: ... @overload def compile( source: str | ReadableBuffer | _ast.Module | _ast.Expression | _ast.Interactive, filename: str | bytes | PathLike[Any], mode: str, *, dont_inherit: bool = False, optimize: int = -1, _feature_version: int = -1, ) -> CodeType: ... @overload def compile( source: str | ReadableBuffer | _ast.Module | _ast.Expression | _ast.Interactive, filename: str | bytes | PathLike[Any], mode: str, flags: Literal[1024], dont_inherit: bool = False, optimize: int = -1, *, _feature_version: int = -1, ) -> _ast.AST: ... @overload def compile( source: str | ReadableBuffer | _ast.Module | _ast.Expression | _ast.Interactive, filename: str | bytes | PathLike[Any], mode: str, flags: int, dont_inherit: bool = False, optimize: int = -1, *, _feature_version: int = -1, ) -> Any: ... copyright: _sitebuiltins._Printer credits: _sitebuiltins._Printer def delattr(obj: object, name: str, /) -> None: ... def dir(o: object = ..., /) -> list[str]: ... @overload def divmod(x: SupportsDivMod[_T_contra, _T_co], y: _T_contra, /) -> _T_co: ... @overload def divmod(x: _T_contra, y: SupportsRDivMod[_T_contra, _T_co], /) -> _T_co: ... # The `globals` argument to `eval` has to be `dict[str, Any]` rather than `dict[str, object]` due to invariance. # (The `globals` argument has to be a "real dict", rather than any old mapping, unlike the `locals` argument.) if sys.version_info >= (3, 13): def eval( source: str | ReadableBuffer | CodeType, /, globals: dict[str, Any] | None = None, locals: Mapping[str, object] | None = None, ) -> Any: ... else: def eval( source: str | ReadableBuffer | CodeType, globals: dict[str, Any] | None = None, locals: Mapping[str, object] | None = None, /, ) -> Any: ... # Comment above regarding `eval` applies to `exec` as well if sys.version_info >= (3, 13): def exec( source: str | ReadableBuffer | CodeType, /, globals: dict[str, Any] | None = None, locals: Mapping[str, object] | None = None, *, closure: tuple[CellType, ...] | None = None, ) -> None: ... elif sys.version_info >= (3, 11): def exec( source: str | ReadableBuffer | CodeType, globals: dict[str, Any] | None = None, locals: Mapping[str, object] | None = None, /, *, closure: tuple[CellType, ...] | None = None, ) -> None: ... else: def exec( source: str | ReadableBuffer | CodeType, globals: dict[str, Any] | None = None, locals: Mapping[str, object] | None = None, /, ) -> None: ... exit: _sitebuiltins.Quitter @disjoint_base class filter(Iterator[_T]): @overload def __new__(cls, function: None, iterable: Iterable[_T | None], /) -> Self: ... @overload def __new__(cls, function: Callable[[_S], TypeGuard[_T]], iterable: Iterable[_S], /) -> Self: ... @overload def __new__(cls, function: Callable[[_S], TypeIs[_T]], iterable: Iterable[_S], /) -> Self: ... @overload def __new__(cls, function: Callable[[_T], Any], iterable: Iterable[_T], /) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> _T: ... def format(value: object, format_spec: str = "", /) -> str: ... @overload def getattr(o: object, name: str, /) -> Any: ... # While technically covered by the last overload, spelling out the types for None, bool # and basic containers help mypy out in some tricky situations involving type context # (aka bidirectional inference) @overload def getattr(o: object, name: str, default: None, /) -> Any | None: ... @overload def getattr(o: object, name: str, default: bool, /) -> Any | bool: ... @overload def getattr(o: object, name: str, default: list[Any], /) -> Any | list[Any]: ... @overload def getattr(o: object, name: str, default: dict[Any, Any], /) -> Any | dict[Any, Any]: ... @overload def getattr(o: object, name: str, default: _T, /) -> Any | _T: ... def globals() -> dict[str, Any]: ... def hasattr(obj: object, name: str, /) -> bool: ... def hash(obj: object, /) -> int: ... help: _sitebuiltins._Helper def hex(number: int | SupportsIndex, /) -> str: ... def id(obj: object, /) -> int: ... def input(prompt: object = "", /) -> str: ... @type_check_only class _GetItemIterable(Protocol[_T_co]): def __getitem__(self, i: int, /) -> _T_co: ... @overload def iter(object: SupportsIter[_SupportsNextT_co], /) -> _SupportsNextT_co: ... @overload def iter(object: _GetItemIterable[_T], /) -> Iterator[_T]: ... @overload def iter(object: Callable[[], _T | None], sentinel: None, /) -> Iterator[_T]: ... @overload def iter(object: Callable[[], _T], sentinel: object, /) -> Iterator[_T]: ... if sys.version_info >= (3, 10): _ClassInfo: TypeAlias = type | types.UnionType | tuple[_ClassInfo, ...] else: _ClassInfo: TypeAlias = type | tuple[_ClassInfo, ...] def isinstance(obj: object, class_or_tuple: _ClassInfo, /) -> bool: ... def issubclass(cls: type, class_or_tuple: _ClassInfo, /) -> bool: ... def len(obj: Sized, /) -> int: ... license: _sitebuiltins._Printer def locals() -> dict[str, Any]: ... @disjoint_base class map(Iterator[_S]): # 3.14 adds `strict` argument. if sys.version_info >= (3, 14): @overload def __new__(cls, func: Callable[[_T1], _S], iterable: Iterable[_T1], /, *, strict: bool = False) -> Self: ... @overload def __new__( cls, func: Callable[[_T1, _T2], _S], iterable: Iterable[_T1], iter2: Iterable[_T2], /, *, strict: bool = False ) -> Self: ... @overload def __new__( cls, func: Callable[[_T1, _T2, _T3], _S], iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], /, *, strict: bool = False, ) -> Self: ... @overload def __new__( cls, func: Callable[[_T1, _T2, _T3, _T4], _S], iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], /, *, strict: bool = False, ) -> Self: ... @overload def __new__( cls, func: Callable[[_T1, _T2, _T3, _T4, _T5], _S], iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], /, *, strict: bool = False, ) -> Self: ... @overload def __new__( cls, func: Callable[..., _S], iterable: Iterable[Any], iter2: Iterable[Any], iter3: Iterable[Any], iter4: Iterable[Any], iter5: Iterable[Any], iter6: Iterable[Any], /, *iterables: Iterable[Any], strict: bool = False, ) -> Self: ... else: @overload def __new__(cls, func: Callable[[_T1], _S], iterable: Iterable[_T1], /) -> Self: ... @overload def __new__(cls, func: Callable[[_T1, _T2], _S], iterable: Iterable[_T1], iter2: Iterable[_T2], /) -> Self: ... @overload def __new__( cls, func: Callable[[_T1, _T2, _T3], _S], iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], / ) -> Self: ... @overload def __new__( cls, func: Callable[[_T1, _T2, _T3, _T4], _S], iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], /, ) -> Self: ... @overload def __new__( cls, func: Callable[[_T1, _T2, _T3, _T4, _T5], _S], iterable: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], /, ) -> Self: ... @overload def __new__( cls, func: Callable[..., _S], iterable: Iterable[Any], iter2: Iterable[Any], iter3: Iterable[Any], iter4: Iterable[Any], iter5: Iterable[Any], iter6: Iterable[Any], /, *iterables: Iterable[Any], ) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> _S: ... @overload def max( arg1: SupportsRichComparisonT, arg2: SupportsRichComparisonT, /, *_args: SupportsRichComparisonT, key: None = None ) -> SupportsRichComparisonT: ... @overload def max(arg1: _T, arg2: _T, /, *_args: _T, key: Callable[[_T], SupportsRichComparison]) -> _T: ... @overload def max(iterable: Iterable[SupportsRichComparisonT], /, *, key: None = None) -> SupportsRichComparisonT: ... @overload def max(iterable: Iterable[_T], /, *, key: Callable[[_T], SupportsRichComparison]) -> _T: ... @overload def max(iterable: Iterable[SupportsRichComparisonT], /, *, key: None = None, default: _T) -> SupportsRichComparisonT | _T: ... @overload def max(iterable: Iterable[_T1], /, *, key: Callable[[_T1], SupportsRichComparison], default: _T2) -> _T1 | _T2: ... @overload def min( arg1: SupportsRichComparisonT, arg2: SupportsRichComparisonT, /, *_args: SupportsRichComparisonT, key: None = None ) -> SupportsRichComparisonT: ... @overload def min(arg1: _T, arg2: _T, /, *_args: _T, key: Callable[[_T], SupportsRichComparison]) -> _T: ... @overload def min(iterable: Iterable[SupportsRichComparisonT], /, *, key: None = None) -> SupportsRichComparisonT: ... @overload def min(iterable: Iterable[_T], /, *, key: Callable[[_T], SupportsRichComparison]) -> _T: ... @overload def min(iterable: Iterable[SupportsRichComparisonT], /, *, key: None = None, default: _T) -> SupportsRichComparisonT | _T: ... @overload def min(iterable: Iterable[_T1], /, *, key: Callable[[_T1], SupportsRichComparison], default: _T2) -> _T1 | _T2: ... @overload def next(i: SupportsNext[_T], /) -> _T: ... @overload def next(i: SupportsNext[_T], default: _VT, /) -> _T | _VT: ... def oct(number: int | SupportsIndex, /) -> str: ... _Opener: TypeAlias = Callable[[str, int], int] # Text mode: always returns a TextIOWrapper @overload def open( file: FileDescriptorOrPath, mode: OpenTextMode = "r", buffering: int = -1, encoding: str | None = None, errors: str | None = None, newline: str | None = None, closefd: bool = True, opener: _Opener | None = None, ) -> TextIOWrapper: ... # Unbuffered binary mode: returns a FileIO @overload def open( file: FileDescriptorOrPath, mode: OpenBinaryMode, buffering: Literal[0], encoding: None = None, errors: None = None, newline: None = None, closefd: bool = True, opener: _Opener | None = None, ) -> FileIO: ... # Buffering is on: return BufferedRandom, BufferedReader, or BufferedWriter @overload def open( file: FileDescriptorOrPath, mode: OpenBinaryModeUpdating, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, closefd: bool = True, opener: _Opener | None = None, ) -> BufferedRandom: ... @overload def open( file: FileDescriptorOrPath, mode: OpenBinaryModeWriting, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, closefd: bool = True, opener: _Opener | None = None, ) -> BufferedWriter: ... @overload def open( file: FileDescriptorOrPath, mode: OpenBinaryModeReading, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, closefd: bool = True, opener: _Opener | None = None, ) -> BufferedReader: ... # Buffering cannot be determined: fall back to BinaryIO @overload def open( file: FileDescriptorOrPath, mode: OpenBinaryMode, buffering: int = -1, encoding: None = None, errors: None = None, newline: None = None, closefd: bool = True, opener: _Opener | None = None, ) -> BinaryIO: ... # Fallback if mode is not specified @overload def open( file: FileDescriptorOrPath, mode: str, buffering: int = -1, encoding: str | None = None, errors: str | None = None, newline: str | None = None, closefd: bool = True, opener: _Opener | None = None, ) -> IO[Any]: ... def ord(c: str | bytes | bytearray, /) -> int: ... @type_check_only class _SupportsWriteAndFlush(SupportsWrite[_T_contra], SupportsFlush, Protocol[_T_contra]): ... @overload def print( *values: object, sep: str | None = " ", end: str | None = "\n", file: SupportsWrite[str] | None = None, flush: Literal[False] = False, ) -> None: ... @overload def print( *values: object, sep: str | None = " ", end: str | None = "\n", file: _SupportsWriteAndFlush[str] | None = None, flush: bool ) -> None: ... _E_contra = TypeVar("_E_contra", contravariant=True) _M_contra = TypeVar("_M_contra", contravariant=True) @type_check_only class _SupportsPow2(Protocol[_E_contra, _T_co]): def __pow__(self, other: _E_contra, /) -> _T_co: ... @type_check_only class _SupportsPow3NoneOnly(Protocol[_E_contra, _T_co]): def __pow__(self, other: _E_contra, modulo: None = None, /) -> _T_co: ... @type_check_only class _SupportsPow3(Protocol[_E_contra, _M_contra, _T_co]): def __pow__(self, other: _E_contra, modulo: _M_contra, /) -> _T_co: ... _SupportsSomeKindOfPow = ( # noqa: Y026 # TODO: Use TypeAlias once mypy bugs are fixed _SupportsPow2[Any, Any] | _SupportsPow3NoneOnly[Any, Any] | _SupportsPow3[Any, Any, Any] ) # TODO: `pow(int, int, Literal[0])` fails at runtime, # but adding a `NoReturn` overload isn't a good solution for expressing that (see #8566). @overload def pow(base: int, exp: int, mod: int) -> int: ... @overload def pow(base: int, exp: Literal[0], mod: None = None) -> Literal[1]: ... @overload def pow(base: int, exp: _PositiveInteger, mod: None = None) -> int: ... @overload def pow(base: int, exp: _NegativeInteger, mod: None = None) -> float: ... # int base & positive-int exp -> int; int base & negative-int exp -> float # return type must be Any as `int | float` causes too many false-positive errors @overload def pow(base: int, exp: int, mod: None = None) -> Any: ... @overload def pow(base: _PositiveInteger, exp: float, mod: None = None) -> float: ... @overload def pow(base: _NegativeInteger, exp: float, mod: None = None) -> complex: ... @overload def pow(base: float, exp: int, mod: None = None) -> float: ... # float base & float exp could return float or complex # return type must be Any (same as complex base, complex exp), # as `float | complex` causes too many false-positive errors @overload def pow(base: float, exp: complex | _SupportsSomeKindOfPow, mod: None = None) -> Any: ... @overload def pow(base: complex, exp: complex | _SupportsSomeKindOfPow, mod: None = None) -> complex: ... @overload def pow(base: _SupportsPow2[_E_contra, _T_co], exp: _E_contra, mod: None = None) -> _T_co: ... # type: ignore[overload-overlap] @overload def pow(base: _SupportsPow3NoneOnly[_E_contra, _T_co], exp: _E_contra, mod: None = None) -> _T_co: ... # type: ignore[overload-overlap] @overload def pow(base: _SupportsPow3[_E_contra, _M_contra, _T_co], exp: _E_contra, mod: _M_contra) -> _T_co: ... @overload def pow(base: _SupportsSomeKindOfPow, exp: float, mod: None = None) -> Any: ... @overload def pow(base: _SupportsSomeKindOfPow, exp: complex, mod: None = None) -> complex: ... quit: _sitebuiltins.Quitter @disjoint_base class reversed(Iterator[_T]): @overload def __new__(cls, sequence: Reversible[_T], /) -> Iterator[_T]: ... # type: ignore[misc] @overload def __new__(cls, sequence: SupportsLenAndGetItem[_T], /) -> Iterator[_T]: ... # type: ignore[misc] def __iter__(self) -> Self: ... def __next__(self) -> _T: ... def __length_hint__(self) -> int: ... def repr(obj: object, /) -> str: ... # See https://github.com/python/typeshed/pull/9141 # and https://github.com/python/typeshed/pull/9151 # on why we don't use `SupportsRound` from `typing.pyi` @type_check_only class _SupportsRound1(Protocol[_T_co]): def __round__(self) -> _T_co: ... @type_check_only class _SupportsRound2(Protocol[_T_co]): def __round__(self, ndigits: int, /) -> _T_co: ... @overload def round(number: _SupportsRound1[_T], ndigits: None = None) -> _T: ... @overload def round(number: _SupportsRound2[_T], ndigits: SupportsIndex) -> _T: ... # See https://github.com/python/typeshed/pull/6292#discussion_r748875189 # for why arg 3 of `setattr` should be annotated with `Any` and not `object` def setattr(obj: object, name: str, value: Any, /) -> None: ... @overload def sorted( iterable: Iterable[SupportsRichComparisonT], /, *, key: None = None, reverse: bool = False ) -> list[SupportsRichComparisonT]: ... @overload def sorted(iterable: Iterable[_T], /, *, key: Callable[[_T], SupportsRichComparison], reverse: bool = False) -> list[_T]: ... _AddableT1 = TypeVar("_AddableT1", bound=SupportsAdd[Any, Any]) _AddableT2 = TypeVar("_AddableT2", bound=SupportsAdd[Any, Any]) @type_check_only class _SupportsSumWithNoDefaultGiven(SupportsAdd[Any, Any], SupportsRAdd[int, Any], Protocol): ... _SupportsSumNoDefaultT = TypeVar("_SupportsSumNoDefaultT", bound=_SupportsSumWithNoDefaultGiven) # In general, the return type of `x + x` is *not* guaranteed to be the same type as x. # However, we can't express that in the stub for `sum()` # without creating many false-positive errors (see #7578). # Instead, we special-case the most common examples of this: bool and literal integers. @overload def sum(iterable: Iterable[bool], /, start: int = 0) -> int: ... @overload def sum(iterable: Iterable[_SupportsSumNoDefaultT], /) -> _SupportsSumNoDefaultT | Literal[0]: ... @overload def sum(iterable: Iterable[_AddableT1], /, start: _AddableT2) -> _AddableT1 | _AddableT2: ... # The argument to `vars()` has to have a `__dict__` attribute, so the second overload can't be annotated with `object` # (A "SupportsDunderDict" protocol doesn't work) @overload def vars(object: type, /) -> types.MappingProxyType[str, Any]: ... @overload def vars(object: Any = ..., /) -> dict[str, Any]: ... @disjoint_base class zip(Iterator[_T_co]): if sys.version_info >= (3, 10): @overload def __new__(cls, *, strict: bool = False) -> zip[Any]: ... @overload def __new__(cls, iter1: Iterable[_T1], /, *, strict: bool = False) -> zip[tuple[_T1]]: ... @overload def __new__(cls, iter1: Iterable[_T1], iter2: Iterable[_T2], /, *, strict: bool = False) -> zip[tuple[_T1, _T2]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], /, *, strict: bool = False ) -> zip[tuple[_T1, _T2, _T3]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], /, *, strict: bool = False, ) -> zip[tuple[_T1, _T2, _T3, _T4]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], /, *, strict: bool = False, ) -> zip[tuple[_T1, _T2, _T3, _T4, _T5]]: ... @overload def __new__( cls, iter1: Iterable[Any], iter2: Iterable[Any], iter3: Iterable[Any], iter4: Iterable[Any], iter5: Iterable[Any], iter6: Iterable[Any], /, *iterables: Iterable[Any], strict: bool = False, ) -> zip[tuple[Any, ...]]: ... else: @overload def __new__(cls) -> zip[Any]: ... @overload def __new__(cls, iter1: Iterable[_T1], /) -> zip[tuple[_T1]]: ... @overload def __new__(cls, iter1: Iterable[_T1], iter2: Iterable[_T2], /) -> zip[tuple[_T1, _T2]]: ... @overload def __new__(cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], /) -> zip[tuple[_T1, _T2, _T3]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], / ) -> zip[tuple[_T1, _T2, _T3, _T4]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], / ) -> zip[tuple[_T1, _T2, _T3, _T4, _T5]]: ... @overload def __new__( cls, iter1: Iterable[Any], iter2: Iterable[Any], iter3: Iterable[Any], iter4: Iterable[Any], iter5: Iterable[Any], iter6: Iterable[Any], /, *iterables: Iterable[Any], ) -> zip[tuple[Any, ...]]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... # Signature of `builtins.__import__` should be kept identical to `importlib.__import__` # Return type of `__import__` should be kept the same as return type of `importlib.import_module` def __import__( name: str, globals: Mapping[str, object] | None = None, locals: Mapping[str, object] | None = None, fromlist: Sequence[str] | None = (), level: int = 0, ) -> types.ModuleType: ... def __build_class__(func: Callable[[], CellType | Any], name: str, /, *bases: Any, metaclass: Any = ..., **kwds: Any) -> Any: ... if sys.version_info >= (3, 10): from types import EllipsisType, NotImplementedType # Backwards compatibility hack for folks who relied on the ellipsis type # existing in typeshed in Python 3.9 and earlier. ellipsis = EllipsisType Ellipsis: EllipsisType NotImplemented: NotImplementedType else: # Actually the type of Ellipsis is , but since it's # not exposed anywhere under that name, we make it private here. @final @type_check_only class ellipsis: ... Ellipsis: ellipsis @final @type_check_only class _NotImplementedType(Any): ... NotImplemented: _NotImplementedType @disjoint_base class BaseException: args: tuple[Any, ...] __cause__: BaseException | None __context__: BaseException | None __suppress_context__: bool __traceback__: TracebackType | None def __init__(self, *args: object) -> None: ... def __new__(cls, *args: Any, **kwds: Any) -> Self: ... def __setstate__(self, state: dict[str, Any] | None, /) -> None: ... def with_traceback(self, tb: TracebackType | None, /) -> Self: ... # Necessary for security-focused static analyzers (e.g, pysa) # See https://github.com/python/typeshed/pull/14900 def __str__(self) -> str: ... # noqa: Y029 def __repr__(self) -> str: ... # noqa: Y029 if sys.version_info >= (3, 11): # only present after add_note() is called __notes__: list[str] def add_note(self, note: str, /) -> None: ... class GeneratorExit(BaseException): ... class KeyboardInterrupt(BaseException): ... @disjoint_base class SystemExit(BaseException): code: sys._ExitCode class Exception(BaseException): ... @disjoint_base class StopIteration(Exception): value: Any @disjoint_base class OSError(Exception): errno: int | None strerror: str | None # filename, filename2 are actually str | bytes | None filename: Any filename2: Any if sys.platform == "win32": winerror: int EnvironmentError = OSError IOError = OSError if sys.platform == "win32": WindowsError = OSError class ArithmeticError(Exception): ... class AssertionError(Exception): ... if sys.version_info >= (3, 10): @disjoint_base class AttributeError(Exception): def __init__(self, *args: object, name: str | None = None, obj: object = None) -> None: ... name: str | None obj: object else: class AttributeError(Exception): ... class BufferError(Exception): ... class EOFError(Exception): ... @disjoint_base class ImportError(Exception): def __init__(self, *args: object, name: str | None = None, path: str | None = None) -> None: ... name: str | None path: str | None msg: str # undocumented if sys.version_info >= (3, 12): name_from: str | None # undocumented class LookupError(Exception): ... class MemoryError(Exception): ... if sys.version_info >= (3, 10): @disjoint_base class NameError(Exception): def __init__(self, *args: object, name: str | None = None) -> None: ... name: str | None else: class NameError(Exception): ... class ReferenceError(Exception): ... class RuntimeError(Exception): ... class StopAsyncIteration(Exception): ... @disjoint_base class SyntaxError(Exception): msg: str filename: str | None lineno: int | None offset: int | None text: str | None # Errors are displayed differently if this attribute exists on the exception. # The value is always None. print_file_and_line: None if sys.version_info >= (3, 10): end_lineno: int | None end_offset: int | None @overload def __init__(self) -> None: ... @overload def __init__(self, msg: object, /) -> None: ... # Second argument is the tuple (filename, lineno, offset, text) @overload def __init__(self, msg: str, info: tuple[str | None, int | None, int | None, str | None], /) -> None: ... if sys.version_info >= (3, 10): # end_lineno and end_offset must both be provided if one is. @overload def __init__( self, msg: str, info: tuple[str | None, int | None, int | None, str | None, int | None, int | None], / ) -> None: ... # If you provide more than two arguments, it still creates the SyntaxError, but # the arguments from the info tuple are not parsed. This form is omitted. class SystemError(Exception): ... class TypeError(Exception): ... class ValueError(Exception): ... class FloatingPointError(ArithmeticError): ... class OverflowError(ArithmeticError): ... class ZeroDivisionError(ArithmeticError): ... class ModuleNotFoundError(ImportError): ... class IndexError(LookupError): ... class KeyError(LookupError): ... class UnboundLocalError(NameError): ... class BlockingIOError(OSError): characters_written: int class ChildProcessError(OSError): ... class ConnectionError(OSError): ... class BrokenPipeError(ConnectionError): ... class ConnectionAbortedError(ConnectionError): ... class ConnectionRefusedError(ConnectionError): ... class ConnectionResetError(ConnectionError): ... class FileExistsError(OSError): ... class FileNotFoundError(OSError): ... class InterruptedError(OSError): ... class IsADirectoryError(OSError): ... class NotADirectoryError(OSError): ... class PermissionError(OSError): ... class ProcessLookupError(OSError): ... class TimeoutError(OSError): ... class NotImplementedError(RuntimeError): ... class RecursionError(RuntimeError): ... class IndentationError(SyntaxError): ... class TabError(IndentationError): ... class UnicodeError(ValueError): ... @disjoint_base class UnicodeDecodeError(UnicodeError): encoding: str object: bytes start: int end: int reason: str def __init__(self, encoding: str, object: ReadableBuffer, start: int, end: int, reason: str, /) -> None: ... @disjoint_base class UnicodeEncodeError(UnicodeError): encoding: str object: str start: int end: int reason: str def __init__(self, encoding: str, object: str, start: int, end: int, reason: str, /) -> None: ... @disjoint_base class UnicodeTranslateError(UnicodeError): encoding: None object: str start: int end: int reason: str def __init__(self, object: str, start: int, end: int, reason: str, /) -> None: ... class Warning(Exception): ... class UserWarning(Warning): ... class DeprecationWarning(Warning): ... class SyntaxWarning(Warning): ... class RuntimeWarning(Warning): ... class FutureWarning(Warning): ... class PendingDeprecationWarning(Warning): ... class ImportWarning(Warning): ... class UnicodeWarning(Warning): ... class BytesWarning(Warning): ... class ResourceWarning(Warning): ... if sys.version_info >= (3, 10): class EncodingWarning(Warning): ... if sys.version_info >= (3, 11): _BaseExceptionT_co = TypeVar("_BaseExceptionT_co", bound=BaseException, covariant=True, default=BaseException) _BaseExceptionT = TypeVar("_BaseExceptionT", bound=BaseException) _ExceptionT_co = TypeVar("_ExceptionT_co", bound=Exception, covariant=True, default=Exception) _ExceptionT = TypeVar("_ExceptionT", bound=Exception) # See `check_exception_group.py` for use-cases and comments. @disjoint_base class BaseExceptionGroup(BaseException, Generic[_BaseExceptionT_co]): def __new__(cls, message: str, exceptions: Sequence[_BaseExceptionT_co], /) -> Self: ... def __init__(self, message: str, exceptions: Sequence[_BaseExceptionT_co], /) -> None: ... @property def message(self) -> str: ... @property def exceptions(self) -> tuple[_BaseExceptionT_co | BaseExceptionGroup[_BaseExceptionT_co], ...]: ... @overload def subgroup( self, matcher_value: type[_ExceptionT] | tuple[type[_ExceptionT], ...], / ) -> ExceptionGroup[_ExceptionT] | None: ... @overload def subgroup( self, matcher_value: type[_BaseExceptionT] | tuple[type[_BaseExceptionT], ...], / ) -> BaseExceptionGroup[_BaseExceptionT] | None: ... @overload def subgroup( self, matcher_value: Callable[[_BaseExceptionT_co | Self], bool], / ) -> BaseExceptionGroup[_BaseExceptionT_co] | None: ... @overload def split( self, matcher_value: type[_ExceptionT] | tuple[type[_ExceptionT], ...], / ) -> tuple[ExceptionGroup[_ExceptionT] | None, BaseExceptionGroup[_BaseExceptionT_co] | None]: ... @overload def split( self, matcher_value: type[_BaseExceptionT] | tuple[type[_BaseExceptionT], ...], / ) -> tuple[BaseExceptionGroup[_BaseExceptionT] | None, BaseExceptionGroup[_BaseExceptionT_co] | None]: ... @overload def split( self, matcher_value: Callable[[_BaseExceptionT_co | Self], bool], / ) -> tuple[BaseExceptionGroup[_BaseExceptionT_co] | None, BaseExceptionGroup[_BaseExceptionT_co] | None]: ... # In reality it is `NonEmptySequence`: @overload def derive(self, excs: Sequence[_ExceptionT], /) -> ExceptionGroup[_ExceptionT]: ... @overload def derive(self, excs: Sequence[_BaseExceptionT], /) -> BaseExceptionGroup[_BaseExceptionT]: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class ExceptionGroup(BaseExceptionGroup[_ExceptionT_co], Exception): def __new__(cls, message: str, exceptions: Sequence[_ExceptionT_co], /) -> Self: ... def __init__(self, message: str, exceptions: Sequence[_ExceptionT_co], /) -> None: ... @property def exceptions(self) -> tuple[_ExceptionT_co | ExceptionGroup[_ExceptionT_co], ...]: ... # We accept a narrower type, but that's OK. @overload # type: ignore[override] def subgroup( self, matcher_value: type[_ExceptionT] | tuple[type[_ExceptionT], ...], / ) -> ExceptionGroup[_ExceptionT] | None: ... @overload def subgroup( self, matcher_value: Callable[[_ExceptionT_co | Self], bool], / ) -> ExceptionGroup[_ExceptionT_co] | None: ... @overload # type: ignore[override] def split( self, matcher_value: type[_ExceptionT] | tuple[type[_ExceptionT], ...], / ) -> tuple[ExceptionGroup[_ExceptionT] | None, ExceptionGroup[_ExceptionT_co] | None]: ... @overload def split( self, matcher_value: Callable[[_ExceptionT_co | Self], bool], / ) -> tuple[ExceptionGroup[_ExceptionT_co] | None, ExceptionGroup[_ExceptionT_co] | None]: ... if sys.version_info >= (3, 13): class PythonFinalizationError(RuntimeError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/bz2.pyi0000644000175100017510000000765015112307767017613 0ustar00runnerrunnerimport sys from _bz2 import BZ2Compressor as BZ2Compressor, BZ2Decompressor as BZ2Decompressor from _typeshed import ReadableBuffer, StrOrBytesPath, WriteableBuffer from collections.abc import Iterable from io import TextIOWrapper from typing import IO, Literal, Protocol, SupportsIndex, overload, type_check_only from typing_extensions import Self, TypeAlias if sys.version_info >= (3, 14): from compression._common._streams import BaseStream, _Reader else: from _compression import BaseStream, _Reader __all__ = ["BZ2File", "BZ2Compressor", "BZ2Decompressor", "open", "compress", "decompress"] # The following attributes and methods are optional: # def fileno(self) -> int: ... # def close(self) -> object: ... @type_check_only class _ReadableFileobj(_Reader, Protocol): ... @type_check_only class _WritableFileobj(Protocol): def write(self, b: bytes, /) -> object: ... # The following attributes and methods are optional: # def fileno(self) -> int: ... # def close(self) -> object: ... def compress(data: ReadableBuffer, compresslevel: int = 9) -> bytes: ... def decompress(data: ReadableBuffer) -> bytes: ... _ReadBinaryMode: TypeAlias = Literal["", "r", "rb"] _WriteBinaryMode: TypeAlias = Literal["w", "wb", "x", "xb", "a", "ab"] _ReadTextMode: TypeAlias = Literal["rt"] _WriteTextMode: TypeAlias = Literal["wt", "xt", "at"] @overload def open( filename: _ReadableFileobj, mode: _ReadBinaryMode = "rb", compresslevel: int = 9, encoding: None = None, errors: None = None, newline: None = None, ) -> BZ2File: ... @overload def open( filename: _ReadableFileobj, mode: _ReadTextMode, compresslevel: int = 9, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... @overload def open( filename: _WritableFileobj, mode: _WriteBinaryMode, compresslevel: int = 9, encoding: None = None, errors: None = None, newline: None = None, ) -> BZ2File: ... @overload def open( filename: _WritableFileobj, mode: _WriteTextMode, compresslevel: int = 9, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... @overload def open( filename: StrOrBytesPath, mode: _ReadBinaryMode | _WriteBinaryMode = "rb", compresslevel: int = 9, encoding: None = None, errors: None = None, newline: None = None, ) -> BZ2File: ... @overload def open( filename: StrOrBytesPath, mode: _ReadTextMode | _WriteTextMode, compresslevel: int = 9, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... @overload def open( filename: StrOrBytesPath | _ReadableFileobj | _WritableFileobj, mode: str, compresslevel: int = 9, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> BZ2File | TextIOWrapper: ... class BZ2File(BaseStream, IO[bytes]): def __enter__(self) -> Self: ... @overload def __init__(self, filename: _WritableFileobj, mode: _WriteBinaryMode, *, compresslevel: int = 9) -> None: ... @overload def __init__(self, filename: _ReadableFileobj, mode: _ReadBinaryMode = "r", *, compresslevel: int = 9) -> None: ... @overload def __init__( self, filename: StrOrBytesPath, mode: _ReadBinaryMode | _WriteBinaryMode = "r", *, compresslevel: int = 9 ) -> None: ... def read(self, size: int | None = -1) -> bytes: ... def read1(self, size: int = -1) -> bytes: ... def readline(self, size: SupportsIndex = -1) -> bytes: ... # type: ignore[override] def readinto(self, b: WriteableBuffer) -> int: ... def readlines(self, size: SupportsIndex = -1) -> list[bytes]: ... def peek(self, n: int = 0) -> bytes: ... def seek(self, offset: int, whence: int = 0) -> int: ... def write(self, data: ReadableBuffer) -> int: ... def writelines(self, seq: Iterable[ReadableBuffer]) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/cProfile.pyi0000644000175100017510000000244115112307767020652 0ustar00runnerrunnerimport _lsprof from _typeshed import StrOrBytesPath, Unused from collections.abc import Callable, Mapping from types import CodeType from typing import Any, TypeVar from typing_extensions import ParamSpec, Self, TypeAlias __all__ = ["run", "runctx", "Profile"] def run(statement: str, filename: str | None = None, sort: str | int = -1) -> None: ... def runctx( statement: str, globals: dict[str, Any], locals: Mapping[str, Any], filename: str | None = None, sort: str | int = -1 ) -> None: ... _T = TypeVar("_T") _P = ParamSpec("_P") _Label: TypeAlias = tuple[str, int, str] class Profile(_lsprof.Profiler): stats: dict[_Label, tuple[int, int, int, int, dict[_Label, tuple[int, int, int, int]]]] # undocumented def print_stats(self, sort: str | int = -1) -> None: ... def dump_stats(self, file: StrOrBytesPath) -> None: ... def create_stats(self) -> None: ... def snapshot_stats(self) -> None: ... def run(self, cmd: str) -> Self: ... def runctx(self, cmd: str, globals: dict[str, Any], locals: Mapping[str, Any]) -> Self: ... def runcall(self, func: Callable[_P, _T], /, *args: _P.args, **kw: _P.kwargs) -> _T: ... def __enter__(self) -> Self: ... def __exit__(self, *exc_info: Unused) -> None: ... def label(code: str | CodeType) -> _Label: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/calendar.pyi0000644000175100017510000001626015112307767020664 0ustar00runnerrunnerimport datetime import enum import sys from _typeshed import Unused from collections.abc import Iterable, Sequence from time import struct_time from typing import ClassVar, Final from typing_extensions import TypeAlias __all__ = [ "IllegalMonthError", "IllegalWeekdayError", "setfirstweekday", "firstweekday", "isleap", "leapdays", "weekday", "monthrange", "monthcalendar", "prmonth", "month", "prcal", "calendar", "timegm", "month_name", "month_abbr", "day_name", "day_abbr", "Calendar", "TextCalendar", "HTMLCalendar", "LocaleTextCalendar", "LocaleHTMLCalendar", "weekheader", ] if sys.version_info >= (3, 10): __all__ += ["FRIDAY", "MONDAY", "SATURDAY", "SUNDAY", "THURSDAY", "TUESDAY", "WEDNESDAY"] if sys.version_info >= (3, 12): __all__ += [ "Day", "Month", "JANUARY", "FEBRUARY", "MARCH", "APRIL", "MAY", "JUNE", "JULY", "AUGUST", "SEPTEMBER", "OCTOBER", "NOVEMBER", "DECEMBER", ] _LocaleType: TypeAlias = tuple[str | None, str | None] class IllegalMonthError(ValueError): def __init__(self, month: int) -> None: ... class IllegalWeekdayError(ValueError): def __init__(self, weekday: int) -> None: ... def isleap(year: int) -> bool: ... def leapdays(y1: int, y2: int) -> int: ... def weekday(year: int, month: int, day: int) -> int: ... def monthrange(year: int, month: int) -> tuple[int, int]: ... class Calendar: firstweekday: int def __init__(self, firstweekday: int = 0) -> None: ... def getfirstweekday(self) -> int: ... def setfirstweekday(self, firstweekday: int) -> None: ... def iterweekdays(self) -> Iterable[int]: ... def itermonthdates(self, year: int, month: int) -> Iterable[datetime.date]: ... def itermonthdays2(self, year: int, month: int) -> Iterable[tuple[int, int]]: ... def itermonthdays(self, year: int, month: int) -> Iterable[int]: ... def monthdatescalendar(self, year: int, month: int) -> list[list[datetime.date]]: ... def monthdays2calendar(self, year: int, month: int) -> list[list[tuple[int, int]]]: ... def monthdayscalendar(self, year: int, month: int) -> list[list[int]]: ... def yeardatescalendar(self, year: int, width: int = 3) -> list[list[list[list[datetime.date]]]]: ... def yeardays2calendar(self, year: int, width: int = 3) -> list[list[list[list[tuple[int, int]]]]]: ... def yeardayscalendar(self, year: int, width: int = 3) -> list[list[list[list[int]]]]: ... def itermonthdays3(self, year: int, month: int) -> Iterable[tuple[int, int, int]]: ... def itermonthdays4(self, year: int, month: int) -> Iterable[tuple[int, int, int, int]]: ... class TextCalendar(Calendar): def prweek(self, theweek: int, width: int) -> None: ... def formatday(self, day: int, weekday: int, width: int) -> str: ... def formatweek(self, theweek: int, width: int) -> str: ... def formatweekday(self, day: int, width: int) -> str: ... def formatweekheader(self, width: int) -> str: ... def formatmonthname(self, theyear: int, themonth: int, width: int, withyear: bool = True) -> str: ... def prmonth(self, theyear: int, themonth: int, w: int = 0, l: int = 0) -> None: ... def formatmonth(self, theyear: int, themonth: int, w: int = 0, l: int = 0) -> str: ... def formatyear(self, theyear: int, w: int = 2, l: int = 1, c: int = 6, m: int = 3) -> str: ... def pryear(self, theyear: int, w: int = 0, l: int = 0, c: int = 6, m: int = 3) -> None: ... def firstweekday() -> int: ... def monthcalendar(year: int, month: int) -> list[list[int]]: ... def prweek(theweek: int, width: int) -> None: ... def week(theweek: int, width: int) -> str: ... def weekheader(width: int) -> str: ... def prmonth(theyear: int, themonth: int, w: int = 0, l: int = 0) -> None: ... def month(theyear: int, themonth: int, w: int = 0, l: int = 0) -> str: ... def calendar(theyear: int, w: int = 2, l: int = 1, c: int = 6, m: int = 3) -> str: ... def prcal(theyear: int, w: int = 0, l: int = 0, c: int = 6, m: int = 3) -> None: ... class HTMLCalendar(Calendar): cssclasses: ClassVar[list[str]] cssclass_noday: ClassVar[str] cssclasses_weekday_head: ClassVar[list[str]] cssclass_month_head: ClassVar[str] cssclass_month: ClassVar[str] cssclass_year: ClassVar[str] cssclass_year_head: ClassVar[str] def formatday(self, day: int, weekday: int) -> str: ... def formatweek(self, theweek: int) -> str: ... def formatweekday(self, day: int) -> str: ... def formatweekheader(self) -> str: ... def formatmonthname(self, theyear: int, themonth: int, withyear: bool = True) -> str: ... def formatmonth(self, theyear: int, themonth: int, withyear: bool = True) -> str: ... def formatyear(self, theyear: int, width: int = 3) -> str: ... def formatyearpage( self, theyear: int, width: int = 3, css: str | None = "calendar.css", encoding: str | None = None ) -> bytes: ... class different_locale: def __init__(self, locale: _LocaleType) -> None: ... def __enter__(self) -> None: ... def __exit__(self, *args: Unused) -> None: ... class LocaleTextCalendar(TextCalendar): def __init__(self, firstweekday: int = 0, locale: _LocaleType | None = None) -> None: ... class LocaleHTMLCalendar(HTMLCalendar): def __init__(self, firstweekday: int = 0, locale: _LocaleType | None = None) -> None: ... def formatweekday(self, day: int) -> str: ... def formatmonthname(self, theyear: int, themonth: int, withyear: bool = True) -> str: ... c: TextCalendar def setfirstweekday(firstweekday: int) -> None: ... def format(cols: int, colwidth: int = 20, spacing: int = 6) -> str: ... def formatstring(cols: int, colwidth: int = 20, spacing: int = 6) -> str: ... def timegm(tuple: tuple[int, ...] | struct_time) -> int: ... # Data attributes day_name: Sequence[str] day_abbr: Sequence[str] month_name: Sequence[str] month_abbr: Sequence[str] if sys.version_info >= (3, 12): class Month(enum.IntEnum): JANUARY = 1 FEBRUARY = 2 MARCH = 3 APRIL = 4 MAY = 5 JUNE = 6 JULY = 7 AUGUST = 8 SEPTEMBER = 9 OCTOBER = 10 NOVEMBER = 11 DECEMBER = 12 JANUARY: Final = Month.JANUARY FEBRUARY: Final = Month.FEBRUARY MARCH: Final = Month.MARCH APRIL: Final = Month.APRIL MAY: Final = Month.MAY JUNE: Final = Month.JUNE JULY: Final = Month.JULY AUGUST: Final = Month.AUGUST SEPTEMBER: Final = Month.SEPTEMBER OCTOBER: Final = Month.OCTOBER NOVEMBER: Final = Month.NOVEMBER DECEMBER: Final = Month.DECEMBER class Day(enum.IntEnum): MONDAY = 0 TUESDAY = 1 WEDNESDAY = 2 THURSDAY = 3 FRIDAY = 4 SATURDAY = 5 SUNDAY = 6 MONDAY: Final = Day.MONDAY TUESDAY: Final = Day.TUESDAY WEDNESDAY: Final = Day.WEDNESDAY THURSDAY: Final = Day.THURSDAY FRIDAY: Final = Day.FRIDAY SATURDAY: Final = Day.SATURDAY SUNDAY: Final = Day.SUNDAY else: MONDAY: Final = 0 TUESDAY: Final = 1 WEDNESDAY: Final = 2 THURSDAY: Final = 3 FRIDAY: Final = 4 SATURDAY: Final = 5 SUNDAY: Final = 6 EPOCH: Final = 1970 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/cgi.pyi0000644000175100017510000000734215112307767017656 0ustar00runnerrunnerimport os from _typeshed import SupportsContainsAndGetItem, SupportsGetItem, SupportsItemAccess, Unused from builtins import list as _list, type as _type from collections.abc import Iterable, Iterator, Mapping from email.message import Message from types import TracebackType from typing import IO, Any, Protocol, type_check_only from typing_extensions import Self __all__ = [ "MiniFieldStorage", "FieldStorage", "parse", "parse_multipart", "parse_header", "test", "print_exception", "print_environ", "print_form", "print_directory", "print_arguments", "print_environ_usage", ] def parse( fp: IO[Any] | None = None, environ: SupportsItemAccess[str, str] = os.environ, keep_blank_values: bool = ..., strict_parsing: bool = ..., separator: str = "&", ) -> dict[str, list[str]]: ... def parse_multipart( fp: IO[Any], pdict: SupportsGetItem[str, bytes], encoding: str = "utf-8", errors: str = "replace", separator: str = "&" ) -> dict[str, list[Any]]: ... @type_check_only class _Environ(Protocol): def __getitem__(self, k: str, /) -> str: ... def keys(self) -> Iterable[str]: ... def parse_header(line: str) -> tuple[str, dict[str, str]]: ... def test(environ: _Environ = os.environ) -> None: ... def print_environ(environ: _Environ = os.environ) -> None: ... def print_form(form: dict[str, Any]) -> None: ... def print_directory() -> None: ... def print_environ_usage() -> None: ... class MiniFieldStorage: # The first five "Any" attributes here are always None, but mypy doesn't support that filename: Any list: Any type: Any file: IO[bytes] | None type_options: dict[Any, Any] disposition: Any disposition_options: dict[Any, Any] headers: dict[Any, Any] name: Any value: Any def __init__(self, name: Any, value: Any) -> None: ... class FieldStorage: FieldStorageClass: _type | None keep_blank_values: int strict_parsing: int qs_on_post: str | None headers: Mapping[str, str] | Message fp: IO[bytes] encoding: str errors: str outerboundary: bytes bytes_read: int limit: int | None disposition: str disposition_options: dict[str, str] filename: str | None file: IO[bytes] | None type: str type_options: dict[str, str] innerboundary: bytes length: int done: int list: _list[Any] | None value: None | bytes | _list[Any] def __init__( self, fp: IO[Any] | None = None, headers: Mapping[str, str] | Message | None = None, outerboundary: bytes = b"", environ: SupportsContainsAndGetItem[str, str] = os.environ, keep_blank_values: int = 0, strict_parsing: int = 0, limit: int | None = None, encoding: str = "utf-8", errors: str = "replace", max_num_fields: int | None = None, separator: str = "&", ) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def __iter__(self) -> Iterator[str]: ... def __getitem__(self, key: str) -> Any: ... def getvalue(self, key: str, default: Any = None) -> Any: ... def getfirst(self, key: str, default: Any = None) -> Any: ... def getlist(self, key: str) -> _list[Any]: ... def keys(self) -> _list[str]: ... def __contains__(self, key: str) -> bool: ... def __len__(self) -> int: ... def __bool__(self) -> bool: ... def __del__(self) -> None: ... # Returns bytes or str IO depending on an internal flag def make_file(self) -> IO[Any]: ... def print_exception( type: type[BaseException] | None = None, value: BaseException | None = None, tb: TracebackType | None = None, limit: int | None = None, ) -> None: ... def print_arguments() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/cgitb.pyi0000644000175100017510000000256215112307767020203 0ustar00runnerrunnerfrom _typeshed import OptExcInfo, StrOrBytesPath from collections.abc import Callable from types import FrameType, TracebackType from typing import IO, Any, Final __UNDEF__: Final[object] # undocumented sentinel def reset() -> str: ... # undocumented def small(text: str) -> str: ... # undocumented def strong(text: str) -> str: ... # undocumented def grey(text: str) -> str: ... # undocumented def lookup(name: str, frame: FrameType, locals: dict[str, Any]) -> tuple[str | None, Any]: ... # undocumented def scanvars( reader: Callable[[], bytes], frame: FrameType, locals: dict[str, Any] ) -> list[tuple[str, str | None, Any]]: ... # undocumented def html(einfo: OptExcInfo, context: int = 5) -> str: ... def text(einfo: OptExcInfo, context: int = 5) -> str: ... class Hook: # undocumented def __init__( self, display: int = 1, logdir: StrOrBytesPath | None = None, context: int = 5, file: IO[str] | None = None, format: str = "html", ) -> None: ... def __call__(self, etype: type[BaseException] | None, evalue: BaseException | None, etb: TracebackType | None) -> None: ... def handle(self, info: OptExcInfo | None = None) -> None: ... def handler(info: OptExcInfo | None = None) -> None: ... def enable(display: int = 1, logdir: StrOrBytesPath | None = None, context: int = 5, format: str = "html") -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/chunk.pyi0000644000175100017510000000114615112307767020220 0ustar00runnerrunnerfrom typing import IO class Chunk: closed: bool align: bool file: IO[bytes] chunkname: bytes chunksize: int size_read: int offset: int seekable: bool def __init__(self, file: IO[bytes], align: bool = True, bigendian: bool = True, inclheader: bool = False) -> None: ... def getname(self) -> bytes: ... def getsize(self) -> int: ... def close(self) -> None: ... def isatty(self) -> bool: ... def seek(self, pos: int, whence: int = 0) -> None: ... def tell(self) -> int: ... def read(self, size: int = -1) -> bytes: ... def skip(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/cmath.pyi0000644000175100017510000000231715112307767020205 0ustar00runnerrunnerfrom typing import Final, SupportsComplex, SupportsFloat, SupportsIndex from typing_extensions import TypeAlias e: Final[float] pi: Final[float] inf: Final[float] infj: Final[complex] nan: Final[float] nanj: Final[complex] tau: Final[float] _C: TypeAlias = SupportsFloat | SupportsComplex | SupportsIndex | complex def acos(z: _C, /) -> complex: ... def acosh(z: _C, /) -> complex: ... def asin(z: _C, /) -> complex: ... def asinh(z: _C, /) -> complex: ... def atan(z: _C, /) -> complex: ... def atanh(z: _C, /) -> complex: ... def cos(z: _C, /) -> complex: ... def cosh(z: _C, /) -> complex: ... def exp(z: _C, /) -> complex: ... def isclose(a: _C, b: _C, *, rel_tol: SupportsFloat = 1e-09, abs_tol: SupportsFloat = 0.0) -> bool: ... def isinf(z: _C, /) -> bool: ... def isnan(z: _C, /) -> bool: ... def log(z: _C, base: _C = ..., /) -> complex: ... def log10(z: _C, /) -> complex: ... def phase(z: _C, /) -> float: ... def polar(z: _C, /) -> tuple[float, float]: ... def rect(r: float, phi: float, /) -> complex: ... def sin(z: _C, /) -> complex: ... def sinh(z: _C, /) -> complex: ... def sqrt(z: _C, /) -> complex: ... def tan(z: _C, /) -> complex: ... def tanh(z: _C, /) -> complex: ... def isfinite(z: _C, /) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/cmd.pyi0000644000175100017510000000336715112307767017662 0ustar00runnerrunnerfrom collections.abc import Callable from typing import IO, Any, Final from typing_extensions import LiteralString __all__ = ["Cmd"] PROMPT: Final = "(Cmd) " IDENTCHARS: Final[LiteralString] # Too big to be `Literal` class Cmd: prompt: str identchars: str ruler: str lastcmd: str intro: Any | None doc_leader: str doc_header: str misc_header: str undoc_header: str nohelp: str use_rawinput: bool stdin: IO[str] stdout: IO[str] cmdqueue: list[str] completekey: str def __init__(self, completekey: str = "tab", stdin: IO[str] | None = None, stdout: IO[str] | None = None) -> None: ... old_completer: Callable[[str, int], str | None] | None def cmdloop(self, intro: Any | None = None) -> None: ... def precmd(self, line: str) -> str: ... def postcmd(self, stop: bool, line: str) -> bool: ... def preloop(self) -> None: ... def postloop(self) -> None: ... def parseline(self, line: str) -> tuple[str | None, str | None, str]: ... def onecmd(self, line: str) -> bool: ... def emptyline(self) -> bool: ... def default(self, line: str) -> None: ... def completedefault(self, *ignored: Any) -> list[str]: ... def completenames(self, text: str, *ignored: Any) -> list[str]: ... completion_matches: list[str] | None def complete(self, text: str, state: int) -> list[str] | None: ... def get_names(self) -> list[str]: ... # Only the first element of args matters. def complete_help(self, *args: Any) -> list[str]: ... def do_help(self, arg: str) -> bool | None: ... def print_topics(self, header: str, cmds: list[str] | None, cmdlen: Any, maxcol: int) -> None: ... def columnize(self, list: list[str] | None, displaywidth: int = 80) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/code.pyi0000644000175100017510000000413415112307767020022 0ustar00runnerrunnerimport sys from codeop import CommandCompiler, compile_command as compile_command from collections.abc import Callable from types import CodeType from typing import Any __all__ = ["InteractiveInterpreter", "InteractiveConsole", "interact", "compile_command"] class InteractiveInterpreter: locals: dict[str, Any] # undocumented compile: CommandCompiler # undocumented def __init__(self, locals: dict[str, Any] | None = None) -> None: ... def runsource(self, source: str, filename: str = "", symbol: str = "single") -> bool: ... def runcode(self, code: CodeType) -> None: ... if sys.version_info >= (3, 13): def showsyntaxerror(self, filename: str | None = None, *, source: str = "") -> None: ... else: def showsyntaxerror(self, filename: str | None = None) -> None: ... def showtraceback(self) -> None: ... def write(self, data: str) -> None: ... class InteractiveConsole(InteractiveInterpreter): buffer: list[str] # undocumented filename: str # undocumented if sys.version_info >= (3, 13): def __init__( self, locals: dict[str, Any] | None = None, filename: str = "", *, local_exit: bool = False ) -> None: ... def push(self, line: str, filename: str | None = None) -> bool: ... else: def __init__(self, locals: dict[str, Any] | None = None, filename: str = "") -> None: ... def push(self, line: str) -> bool: ... def interact(self, banner: str | None = None, exitmsg: str | None = None) -> None: ... def resetbuffer(self) -> None: ... def raw_input(self, prompt: str = "") -> str: ... if sys.version_info >= (3, 13): def interact( banner: str | None = None, readfunc: Callable[[str], str] | None = None, local: dict[str, Any] | None = None, exitmsg: str | None = None, local_exit: bool = False, ) -> None: ... else: def interact( banner: str | None = None, readfunc: Callable[[str], str] | None = None, local: dict[str, Any] | None = None, exitmsg: str | None = None, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/codecs.pyi0000644000175100017510000003333515112307767020355 0ustar00runnerrunnerimport sys import types from _codecs import * from _typeshed import ReadableBuffer from abc import abstractmethod from collections.abc import Callable, Generator, Iterable from typing import Any, BinaryIO, ClassVar, Final, Literal, Protocol, TextIO, overload, type_check_only from typing_extensions import Self, TypeAlias, disjoint_base __all__ = [ "register", "lookup", "open", "EncodedFile", "BOM", "BOM_BE", "BOM_LE", "BOM32_BE", "BOM32_LE", "BOM64_BE", "BOM64_LE", "BOM_UTF8", "BOM_UTF16", "BOM_UTF16_LE", "BOM_UTF16_BE", "BOM_UTF32", "BOM_UTF32_LE", "BOM_UTF32_BE", "CodecInfo", "Codec", "IncrementalEncoder", "IncrementalDecoder", "StreamReader", "StreamWriter", "StreamReaderWriter", "StreamRecoder", "getencoder", "getdecoder", "getincrementalencoder", "getincrementaldecoder", "getreader", "getwriter", "encode", "decode", "iterencode", "iterdecode", "strict_errors", "ignore_errors", "replace_errors", "xmlcharrefreplace_errors", "backslashreplace_errors", "namereplace_errors", "register_error", "lookup_error", ] BOM32_BE: Final = b"\xfe\xff" BOM32_LE: Final = b"\xff\xfe" BOM64_BE: Final = b"\x00\x00\xfe\xff" BOM64_LE: Final = b"\xff\xfe\x00\x00" _BufferedEncoding: TypeAlias = Literal[ "idna", "raw-unicode-escape", "unicode-escape", "utf-16", "utf-16-be", "utf-16-le", "utf-32", "utf-32-be", "utf-32-le", "utf-7", "utf-8", "utf-8-sig", ] @type_check_only class _WritableStream(Protocol): def write(self, data: bytes, /) -> object: ... def seek(self, offset: int, whence: int, /) -> object: ... def close(self) -> object: ... @type_check_only class _ReadableStream(Protocol): def read(self, size: int = ..., /) -> bytes: ... def seek(self, offset: int, whence: int, /) -> object: ... def close(self) -> object: ... @type_check_only class _Stream(_WritableStream, _ReadableStream, Protocol): ... # TODO: this only satisfies the most common interface, where # bytes is the raw form and str is the cooked form. # In the long run, both should become template parameters maybe? # There *are* bytes->bytes and str->str encodings in the standard library. # They were much more common in Python 2 than in Python 3. @type_check_only class _Encoder(Protocol): def __call__(self, input: str, errors: str = ..., /) -> tuple[bytes, int]: ... # signature of Codec().encode @type_check_only class _Decoder(Protocol): def __call__(self, input: ReadableBuffer, errors: str = ..., /) -> tuple[str, int]: ... # signature of Codec().decode @type_check_only class _StreamReader(Protocol): def __call__(self, stream: _ReadableStream, errors: str = ..., /) -> StreamReader: ... @type_check_only class _StreamWriter(Protocol): def __call__(self, stream: _WritableStream, errors: str = ..., /) -> StreamWriter: ... @type_check_only class _IncrementalEncoder(Protocol): def __call__(self, errors: str = ...) -> IncrementalEncoder: ... @type_check_only class _IncrementalDecoder(Protocol): def __call__(self, errors: str = ...) -> IncrementalDecoder: ... @type_check_only class _BufferedIncrementalDecoder(Protocol): def __call__(self, errors: str = ...) -> BufferedIncrementalDecoder: ... if sys.version_info >= (3, 12): class CodecInfo(tuple[_Encoder, _Decoder, _StreamReader, _StreamWriter]): _is_text_encoding: bool @property def encode(self) -> _Encoder: ... @property def decode(self) -> _Decoder: ... @property def streamreader(self) -> _StreamReader: ... @property def streamwriter(self) -> _StreamWriter: ... @property def incrementalencoder(self) -> _IncrementalEncoder: ... @property def incrementaldecoder(self) -> _IncrementalDecoder: ... name: str def __new__( cls, encode: _Encoder, decode: _Decoder, streamreader: _StreamReader | None = None, streamwriter: _StreamWriter | None = None, incrementalencoder: _IncrementalEncoder | None = None, incrementaldecoder: _IncrementalDecoder | None = None, name: str | None = None, *, _is_text_encoding: bool | None = None, ) -> Self: ... else: @disjoint_base class CodecInfo(tuple[_Encoder, _Decoder, _StreamReader, _StreamWriter]): _is_text_encoding: bool @property def encode(self) -> _Encoder: ... @property def decode(self) -> _Decoder: ... @property def streamreader(self) -> _StreamReader: ... @property def streamwriter(self) -> _StreamWriter: ... @property def incrementalencoder(self) -> _IncrementalEncoder: ... @property def incrementaldecoder(self) -> _IncrementalDecoder: ... name: str def __new__( cls, encode: _Encoder, decode: _Decoder, streamreader: _StreamReader | None = None, streamwriter: _StreamWriter | None = None, incrementalencoder: _IncrementalEncoder | None = None, incrementaldecoder: _IncrementalDecoder | None = None, name: str | None = None, *, _is_text_encoding: bool | None = None, ) -> Self: ... def getencoder(encoding: str) -> _Encoder: ... def getdecoder(encoding: str) -> _Decoder: ... def getincrementalencoder(encoding: str) -> _IncrementalEncoder: ... @overload def getincrementaldecoder(encoding: _BufferedEncoding) -> _BufferedIncrementalDecoder: ... @overload def getincrementaldecoder(encoding: str) -> _IncrementalDecoder: ... def getreader(encoding: str) -> _StreamReader: ... def getwriter(encoding: str) -> _StreamWriter: ... def open( filename: str, mode: str = "r", encoding: str | None = None, errors: str = "strict", buffering: int = -1 ) -> StreamReaderWriter: ... def EncodedFile(file: _Stream, data_encoding: str, file_encoding: str | None = None, errors: str = "strict") -> StreamRecoder: ... def iterencode(iterator: Iterable[str], encoding: str, errors: str = "strict") -> Generator[bytes, None, None]: ... def iterdecode(iterator: Iterable[bytes], encoding: str, errors: str = "strict") -> Generator[str, None, None]: ... BOM: Final[Literal[b"\xff\xfe", b"\xfe\xff"]] # depends on `sys.byteorder` BOM_BE: Final = b"\xfe\xff" BOM_LE: Final = b"\xff\xfe" BOM_UTF8: Final = b"\xef\xbb\xbf" BOM_UTF16: Final[Literal[b"\xff\xfe", b"\xfe\xff"]] # depends on `sys.byteorder` BOM_UTF16_BE: Final = b"\xfe\xff" BOM_UTF16_LE: Final = b"\xff\xfe" BOM_UTF32: Final[Literal[b"\xff\xfe\x00\x00", b"\x00\x00\xfe\xff"]] # depends on `sys.byteorder` BOM_UTF32_BE: Final = b"\x00\x00\xfe\xff" BOM_UTF32_LE: Final = b"\xff\xfe\x00\x00" def strict_errors(exception: UnicodeError, /) -> tuple[str | bytes, int]: ... def replace_errors(exception: UnicodeError, /) -> tuple[str | bytes, int]: ... def ignore_errors(exception: UnicodeError, /) -> tuple[str | bytes, int]: ... def xmlcharrefreplace_errors(exception: UnicodeError, /) -> tuple[str | bytes, int]: ... def backslashreplace_errors(exception: UnicodeError, /) -> tuple[str | bytes, int]: ... def namereplace_errors(exception: UnicodeError, /) -> tuple[str | bytes, int]: ... class Codec: # These are sort of @abstractmethod but sort of not. # The StreamReader and StreamWriter subclasses only implement one. def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder: errors: str def __init__(self, errors: str = "strict") -> None: ... @abstractmethod def encode(self, input: str, final: bool = False) -> bytes: ... def reset(self) -> None: ... # documentation says int but str is needed for the subclass. def getstate(self) -> int | str: ... def setstate(self, state: int | str) -> None: ... class IncrementalDecoder: errors: str def __init__(self, errors: str = "strict") -> None: ... @abstractmethod def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... def reset(self) -> None: ... def getstate(self) -> tuple[bytes, int]: ... def setstate(self, state: tuple[bytes, int]) -> None: ... # These are not documented but used in encodings/*.py implementations. class BufferedIncrementalEncoder(IncrementalEncoder): buffer: str def __init__(self, errors: str = "strict") -> None: ... @abstractmethod def _buffer_encode(self, input: str, errors: str, final: bool) -> tuple[bytes, int]: ... def encode(self, input: str, final: bool = False) -> bytes: ... class BufferedIncrementalDecoder(IncrementalDecoder): buffer: bytes def __init__(self, errors: str = "strict") -> None: ... @abstractmethod def _buffer_decode(self, input: ReadableBuffer, errors: str, final: bool) -> tuple[str, int]: ... def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... # TODO: it is not possible to specify the requirement that all other # attributes and methods are passed-through from the stream. class StreamWriter(Codec): stream: _WritableStream errors: str def __init__(self, stream: _WritableStream, errors: str = "strict") -> None: ... def write(self, object: str) -> None: ... def writelines(self, list: Iterable[str]) -> None: ... def reset(self) -> None: ... def seek(self, offset: int, whence: int = 0) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, type: type[BaseException] | None, value: BaseException | None, tb: types.TracebackType | None) -> None: ... def __getattr__(self, name: str, getattr: Callable[[Any, str], Any] = ...) -> Any: ... class StreamReader(Codec): stream: _ReadableStream errors: str # This is set to str, but some subclasses set to bytes instead. charbuffertype: ClassVar[type] = ... def __init__(self, stream: _ReadableStream, errors: str = "strict") -> None: ... def read(self, size: int = -1, chars: int = -1, firstline: bool = False) -> str: ... def readline(self, size: int | None = None, keepends: bool = True) -> str: ... def readlines(self, sizehint: int | None = None, keepends: bool = True) -> list[str]: ... def reset(self) -> None: ... def seek(self, offset: int, whence: int = 0) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, type: type[BaseException] | None, value: BaseException | None, tb: types.TracebackType | None) -> None: ... def __iter__(self) -> Self: ... def __next__(self) -> str: ... def __getattr__(self, name: str, getattr: Callable[[Any, str], Any] = ...) -> Any: ... # Doesn't actually inherit from TextIO, but wraps a BinaryIO to provide text reading and writing # and delegates attributes to the underlying binary stream with __getattr__. class StreamReaderWriter(TextIO): stream: _Stream def __init__(self, stream: _Stream, Reader: _StreamReader, Writer: _StreamWriter, errors: str = "strict") -> None: ... def read(self, size: int = -1) -> str: ... def readline(self, size: int | None = None) -> str: ... def readlines(self, sizehint: int | None = None) -> list[str]: ... def __next__(self) -> str: ... def __iter__(self) -> Self: ... def write(self, data: str) -> None: ... # type: ignore[override] def writelines(self, list: Iterable[str]) -> None: ... def reset(self) -> None: ... def seek(self, offset: int, whence: int = 0) -> None: ... # type: ignore[override] def __enter__(self) -> Self: ... def __exit__(self, type: type[BaseException] | None, value: BaseException | None, tb: types.TracebackType | None) -> None: ... def __getattr__(self, name: str) -> Any: ... # These methods don't actually exist directly, but they are needed to satisfy the TextIO # interface. At runtime, they are delegated through __getattr__. def close(self) -> None: ... def fileno(self) -> int: ... def flush(self) -> None: ... def isatty(self) -> bool: ... def readable(self) -> bool: ... def truncate(self, size: int | None = ...) -> int: ... def seekable(self) -> bool: ... def tell(self) -> int: ... def writable(self) -> bool: ... class StreamRecoder(BinaryIO): data_encoding: str file_encoding: str def __init__( self, stream: _Stream, encode: _Encoder, decode: _Decoder, Reader: _StreamReader, Writer: _StreamWriter, errors: str = "strict", ) -> None: ... def read(self, size: int = -1) -> bytes: ... def readline(self, size: int | None = None) -> bytes: ... def readlines(self, sizehint: int | None = None) -> list[bytes]: ... def __next__(self) -> bytes: ... def __iter__(self) -> Self: ... # Base class accepts more types than just bytes def write(self, data: bytes) -> None: ... # type: ignore[override] def writelines(self, list: Iterable[bytes]) -> None: ... # type: ignore[override] def reset(self) -> None: ... def __getattr__(self, name: str) -> Any: ... def __enter__(self) -> Self: ... def __exit__(self, type: type[BaseException] | None, value: BaseException | None, tb: types.TracebackType | None) -> None: ... def seek(self, offset: int, whence: int = 0) -> None: ... # type: ignore[override] # These methods don't actually exist directly, but they are needed to satisfy the BinaryIO # interface. At runtime, they are delegated through __getattr__. def close(self) -> None: ... def fileno(self) -> int: ... def flush(self) -> None: ... def isatty(self) -> bool: ... def readable(self) -> bool: ... def truncate(self, size: int | None = ...) -> int: ... def seekable(self) -> bool: ... def tell(self) -> int: ... def writable(self) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/codeop.pyi0000644000175100017510000000143715112307767020364 0ustar00runnerrunnerimport sys from types import CodeType __all__ = ["compile_command", "Compile", "CommandCompiler"] if sys.version_info >= (3, 14): def compile_command(source: str, filename: str = "", symbol: str = "single", flags: int = 0) -> CodeType | None: ... else: def compile_command(source: str, filename: str = "", symbol: str = "single") -> CodeType | None: ... class Compile: flags: int if sys.version_info >= (3, 13): def __call__(self, source: str, filename: str, symbol: str, flags: int = 0) -> CodeType: ... else: def __call__(self, source: str, filename: str, symbol: str) -> CodeType: ... class CommandCompiler: compiler: Compile def __call__(self, source: str, filename: str = "", symbol: str = "single") -> CodeType | None: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.542765 mypy-1.19.0/mypy/typeshed/stdlib/collections/0000755000175100017510000000000015112310012020652 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/collections/__init__.pyi0000644000175100017510000005607215112307767023175 0ustar00runnerrunnerimport sys from _collections_abc import dict_items, dict_keys, dict_values from _typeshed import SupportsItems, SupportsKeysAndGetItem, SupportsRichComparison, SupportsRichComparisonT from types import GenericAlias from typing import Any, ClassVar, Generic, NoReturn, SupportsIndex, TypeVar, final, overload, type_check_only from typing_extensions import Self, disjoint_base if sys.version_info >= (3, 10): from collections.abc import ( Callable, ItemsView, Iterable, Iterator, KeysView, Mapping, MutableMapping, MutableSequence, Sequence, ValuesView, ) else: from _collections_abc import * __all__ = ["ChainMap", "Counter", "OrderedDict", "UserDict", "UserList", "UserString", "defaultdict", "deque", "namedtuple"] _S = TypeVar("_S") _T = TypeVar("_T") _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _KT = TypeVar("_KT") _VT = TypeVar("_VT") _KT_co = TypeVar("_KT_co", covariant=True) _VT_co = TypeVar("_VT_co", covariant=True) # namedtuple is special-cased in the type checker; the initializer is ignored. def namedtuple( typename: str, field_names: str | Iterable[str], *, rename: bool = False, module: str | None = None, defaults: Iterable[Any] | None = None, ) -> type[tuple[Any, ...]]: ... class UserDict(MutableMapping[_KT, _VT]): data: dict[_KT, _VT] # __init__ should be kept roughly in line with `dict.__init__`, which has the same semantics @overload def __init__(self, dict: None = None, /) -> None: ... @overload def __init__( self: UserDict[str, _VT], dict: None = None, /, **kwargs: _VT # pyright: ignore[reportInvalidTypeVarUse] #11780 ) -> None: ... @overload def __init__(self, dict: SupportsKeysAndGetItem[_KT, _VT], /) -> None: ... @overload def __init__( self: UserDict[str, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 dict: SupportsKeysAndGetItem[str, _VT], /, **kwargs: _VT, ) -> None: ... @overload def __init__(self, iterable: Iterable[tuple[_KT, _VT]], /) -> None: ... @overload def __init__( self: UserDict[str, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 iterable: Iterable[tuple[str, _VT]], /, **kwargs: _VT, ) -> None: ... @overload def __init__(self: UserDict[str, str], iterable: Iterable[list[str]], /) -> None: ... @overload def __init__(self: UserDict[bytes, bytes], iterable: Iterable[list[bytes]], /) -> None: ... def __len__(self) -> int: ... def __getitem__(self, key: _KT) -> _VT: ... def __setitem__(self, key: _KT, item: _VT) -> None: ... def __delitem__(self, key: _KT) -> None: ... def __iter__(self) -> Iterator[_KT]: ... def __contains__(self, key: object) -> bool: ... def copy(self) -> Self: ... def __copy__(self) -> Self: ... # `UserDict.fromkeys` has the same semantics as `dict.fromkeys`, so should be kept in line with `dict.fromkeys`. # TODO: Much like `dict.fromkeys`, the true signature of `UserDict.fromkeys` is inexpressible in the current type system. # See #3800 & https://github.com/python/typing/issues/548#issuecomment-683336963. @classmethod @overload def fromkeys(cls, iterable: Iterable[_T], value: None = None) -> UserDict[_T, Any | None]: ... @classmethod @overload def fromkeys(cls, iterable: Iterable[_T], value: _S) -> UserDict[_T, _S]: ... @overload def __or__(self, other: UserDict[_KT, _VT] | dict[_KT, _VT]) -> Self: ... @overload def __or__(self, other: UserDict[_T1, _T2] | dict[_T1, _T2]) -> UserDict[_KT | _T1, _VT | _T2]: ... @overload def __ror__(self, other: UserDict[_KT, _VT] | dict[_KT, _VT]) -> Self: ... @overload def __ror__(self, other: UserDict[_T1, _T2] | dict[_T1, _T2]) -> UserDict[_KT | _T1, _VT | _T2]: ... # UserDict.__ior__ should be kept roughly in line with MutableMapping.update() @overload # type: ignore[misc] def __ior__(self, other: SupportsKeysAndGetItem[_KT, _VT]) -> Self: ... @overload def __ior__(self, other: Iterable[tuple[_KT, _VT]]) -> Self: ... if sys.version_info >= (3, 12): @overload def get(self, key: _KT, default: None = None) -> _VT | None: ... @overload def get(self, key: _KT, default: _VT) -> _VT: ... @overload def get(self, key: _KT, default: _T) -> _VT | _T: ... class UserList(MutableSequence[_T]): data: list[_T] @overload def __init__(self, initlist: None = None) -> None: ... @overload def __init__(self, initlist: Iterable[_T]) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __lt__(self, other: list[_T] | UserList[_T]) -> bool: ... def __le__(self, other: list[_T] | UserList[_T]) -> bool: ... def __gt__(self, other: list[_T] | UserList[_T]) -> bool: ... def __ge__(self, other: list[_T] | UserList[_T]) -> bool: ... def __eq__(self, other: object) -> bool: ... def __contains__(self, item: object) -> bool: ... def __len__(self) -> int: ... @overload def __getitem__(self, i: SupportsIndex) -> _T: ... @overload def __getitem__(self, i: slice) -> Self: ... @overload def __setitem__(self, i: SupportsIndex, item: _T) -> None: ... @overload def __setitem__(self, i: slice, item: Iterable[_T]) -> None: ... def __delitem__(self, i: SupportsIndex | slice) -> None: ... def __add__(self, other: Iterable[_T]) -> Self: ... def __radd__(self, other: Iterable[_T]) -> Self: ... def __iadd__(self, other: Iterable[_T]) -> Self: ... def __mul__(self, n: int) -> Self: ... def __rmul__(self, n: int) -> Self: ... def __imul__(self, n: int) -> Self: ... def append(self, item: _T) -> None: ... def insert(self, i: int, item: _T) -> None: ... def pop(self, i: int = -1) -> _T: ... def remove(self, item: _T) -> None: ... def copy(self) -> Self: ... def __copy__(self) -> Self: ... def count(self, item: _T) -> int: ... # The runtime signature is "item, *args", and the arguments are then passed # to `list.index`. In order to give more precise types, we pretend that the # `item` argument is positional-only. def index(self, item: _T, start: SupportsIndex = 0, stop: SupportsIndex = sys.maxsize, /) -> int: ... # All arguments are passed to `list.sort` at runtime, so the signature should be kept in line with `list.sort`. @overload def sort(self: UserList[SupportsRichComparisonT], *, key: None = None, reverse: bool = False) -> None: ... @overload def sort(self, *, key: Callable[[_T], SupportsRichComparison], reverse: bool = False) -> None: ... def extend(self, other: Iterable[_T]) -> None: ... class UserString(Sequence[UserString]): data: str def __init__(self, seq: object) -> None: ... def __int__(self) -> int: ... def __float__(self) -> float: ... def __complex__(self) -> complex: ... def __getnewargs__(self) -> tuple[str]: ... def __lt__(self, string: str | UserString) -> bool: ... def __le__(self, string: str | UserString) -> bool: ... def __gt__(self, string: str | UserString) -> bool: ... def __ge__(self, string: str | UserString) -> bool: ... def __eq__(self, string: object) -> bool: ... def __hash__(self) -> int: ... def __contains__(self, char: object) -> bool: ... def __len__(self) -> int: ... def __getitem__(self, index: SupportsIndex | slice) -> Self: ... def __iter__(self) -> Iterator[Self]: ... def __reversed__(self) -> Iterator[Self]: ... def __add__(self, other: object) -> Self: ... def __radd__(self, other: object) -> Self: ... def __mul__(self, n: int) -> Self: ... def __rmul__(self, n: int) -> Self: ... def __mod__(self, args: Any) -> Self: ... def __rmod__(self, template: object) -> Self: ... def capitalize(self) -> Self: ... def casefold(self) -> Self: ... def center(self, width: int, *args: Any) -> Self: ... def count(self, sub: str | UserString, start: int = 0, end: int = sys.maxsize) -> int: ... def encode(self: UserString, encoding: str | None = "utf-8", errors: str | None = "strict") -> bytes: ... def endswith(self, suffix: str | tuple[str, ...], start: int | None = 0, end: int | None = sys.maxsize) -> bool: ... def expandtabs(self, tabsize: int = 8) -> Self: ... def find(self, sub: str | UserString, start: int = 0, end: int = sys.maxsize) -> int: ... def format(self, *args: Any, **kwds: Any) -> str: ... def format_map(self, mapping: Mapping[str, Any]) -> str: ... def index(self, sub: str, start: int = 0, end: int = sys.maxsize) -> int: ... def isalpha(self) -> bool: ... def isalnum(self) -> bool: ... def isdecimal(self) -> bool: ... def isdigit(self) -> bool: ... def isidentifier(self) -> bool: ... def islower(self) -> bool: ... def isnumeric(self) -> bool: ... def isprintable(self) -> bool: ... def isspace(self) -> bool: ... def istitle(self) -> bool: ... def isupper(self) -> bool: ... def isascii(self) -> bool: ... def join(self, seq: Iterable[str]) -> str: ... def ljust(self, width: int, *args: Any) -> Self: ... def lower(self) -> Self: ... def lstrip(self, chars: str | None = None) -> Self: ... maketrans = str.maketrans def partition(self, sep: str) -> tuple[str, str, str]: ... def removeprefix(self, prefix: str | UserString, /) -> Self: ... def removesuffix(self, suffix: str | UserString, /) -> Self: ... def replace(self, old: str | UserString, new: str | UserString, maxsplit: int = -1) -> Self: ... def rfind(self, sub: str | UserString, start: int = 0, end: int = sys.maxsize) -> int: ... def rindex(self, sub: str | UserString, start: int = 0, end: int = sys.maxsize) -> int: ... def rjust(self, width: int, *args: Any) -> Self: ... def rpartition(self, sep: str) -> tuple[str, str, str]: ... def rstrip(self, chars: str | None = None) -> Self: ... def split(self, sep: str | None = None, maxsplit: int = -1) -> list[str]: ... def rsplit(self, sep: str | None = None, maxsplit: int = -1) -> list[str]: ... def splitlines(self, keepends: bool = False) -> list[str]: ... def startswith(self, prefix: str | tuple[str, ...], start: int | None = 0, end: int | None = sys.maxsize) -> bool: ... def strip(self, chars: str | None = None) -> Self: ... def swapcase(self) -> Self: ... def title(self) -> Self: ... def translate(self, *args: Any) -> Self: ... def upper(self) -> Self: ... def zfill(self, width: int) -> Self: ... @disjoint_base class deque(MutableSequence[_T]): @property def maxlen(self) -> int | None: ... @overload def __init__(self, *, maxlen: int | None = None) -> None: ... @overload def __init__(self, iterable: Iterable[_T], maxlen: int | None = None) -> None: ... def append(self, x: _T, /) -> None: ... def appendleft(self, x: _T, /) -> None: ... def copy(self) -> Self: ... def count(self, x: _T, /) -> int: ... def extend(self, iterable: Iterable[_T], /) -> None: ... def extendleft(self, iterable: Iterable[_T], /) -> None: ... def insert(self, i: int, x: _T, /) -> None: ... def index(self, x: _T, start: int = 0, stop: int = ..., /) -> int: ... def pop(self) -> _T: ... # type: ignore[override] def popleft(self) -> _T: ... def remove(self, value: _T, /) -> None: ... def rotate(self, n: int = 1, /) -> None: ... def __copy__(self) -> Self: ... def __len__(self) -> int: ... __hash__: ClassVar[None] # type: ignore[assignment] # These methods of deque don't take slices, unlike MutableSequence, hence the type: ignores def __getitem__(self, key: SupportsIndex, /) -> _T: ... # type: ignore[override] def __setitem__(self, key: SupportsIndex, value: _T, /) -> None: ... # type: ignore[override] def __delitem__(self, key: SupportsIndex, /) -> None: ... # type: ignore[override] def __contains__(self, key: object, /) -> bool: ... def __reduce__(self) -> tuple[type[Self], tuple[()], None, Iterator[_T]]: ... def __iadd__(self, value: Iterable[_T], /) -> Self: ... def __add__(self, value: Self, /) -> Self: ... def __mul__(self, value: int, /) -> Self: ... def __imul__(self, value: int, /) -> Self: ... def __lt__(self, value: deque[_T], /) -> bool: ... def __le__(self, value: deque[_T], /) -> bool: ... def __gt__(self, value: deque[_T], /) -> bool: ... def __ge__(self, value: deque[_T], /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class Counter(dict[_T, int], Generic[_T]): @overload def __init__(self, iterable: None = None, /) -> None: ... @overload def __init__(self: Counter[str], iterable: None = None, /, **kwargs: int) -> None: ... @overload def __init__(self, mapping: SupportsKeysAndGetItem[_T, int], /) -> None: ... @overload def __init__(self, iterable: Iterable[_T], /) -> None: ... def copy(self) -> Self: ... def elements(self) -> Iterator[_T]: ... def most_common(self, n: int | None = None) -> list[tuple[_T, int]]: ... @classmethod def fromkeys(cls, iterable: Any, v: int | None = None) -> NoReturn: ... # type: ignore[override] @overload def subtract(self, iterable: None = None, /) -> None: ... @overload def subtract(self, mapping: Mapping[_T, int], /) -> None: ... @overload def subtract(self, iterable: Iterable[_T], /) -> None: ... # Unlike dict.update(), use Mapping instead of SupportsKeysAndGetItem for the first overload # (source code does an `isinstance(other, Mapping)` check) # # The second overload is also deliberately different to dict.update() # (if it were `Iterable[_T] | Iterable[tuple[_T, int]]`, # the tuples would be added as keys, breaking type safety) @overload # type: ignore[override] def update(self, m: Mapping[_T, int], /, **kwargs: int) -> None: ... @overload def update(self, iterable: Iterable[_T], /, **kwargs: int) -> None: ... @overload def update(self, iterable: None = None, /, **kwargs: int) -> None: ... def __missing__(self, key: _T) -> int: ... def __delitem__(self, elem: object) -> None: ... if sys.version_info >= (3, 10): def __eq__(self, other: object) -> bool: ... def __ne__(self, other: object) -> bool: ... def __add__(self, other: Counter[_S]) -> Counter[_T | _S]: ... def __sub__(self, other: Counter[_T]) -> Counter[_T]: ... def __and__(self, other: Counter[_T]) -> Counter[_T]: ... def __or__(self, other: Counter[_S]) -> Counter[_T | _S]: ... # type: ignore[override] def __pos__(self) -> Counter[_T]: ... def __neg__(self) -> Counter[_T]: ... # several type: ignores because __iadd__ is supposedly incompatible with __add__, etc. def __iadd__(self, other: SupportsItems[_T, int]) -> Self: ... # type: ignore[misc] def __isub__(self, other: SupportsItems[_T, int]) -> Self: ... def __iand__(self, other: SupportsItems[_T, int]) -> Self: ... def __ior__(self, other: SupportsItems[_T, int]) -> Self: ... # type: ignore[override,misc] if sys.version_info >= (3, 10): def total(self) -> int: ... def __le__(self, other: Counter[Any]) -> bool: ... def __lt__(self, other: Counter[Any]) -> bool: ... def __ge__(self, other: Counter[Any]) -> bool: ... def __gt__(self, other: Counter[Any]) -> bool: ... # The pure-Python implementations of the "views" classes # These are exposed at runtime in `collections/__init__.py` class _OrderedDictKeysView(KeysView[_KT_co]): def __reversed__(self) -> Iterator[_KT_co]: ... class _OrderedDictItemsView(ItemsView[_KT_co, _VT_co]): def __reversed__(self) -> Iterator[tuple[_KT_co, _VT_co]]: ... class _OrderedDictValuesView(ValuesView[_VT_co]): def __reversed__(self) -> Iterator[_VT_co]: ... # The C implementations of the "views" classes # (At runtime, these are called `odict_keys`, `odict_items` and `odict_values`, # but they are not exposed anywhere) # pyright doesn't have a specific error code for subclassing error! @final @type_check_only class _odict_keys(dict_keys[_KT_co, _VT_co]): # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __reversed__(self) -> Iterator[_KT_co]: ... @final @type_check_only class _odict_items(dict_items[_KT_co, _VT_co]): # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __reversed__(self) -> Iterator[tuple[_KT_co, _VT_co]]: ... @final @type_check_only class _odict_values(dict_values[_KT_co, _VT_co]): # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __reversed__(self) -> Iterator[_VT_co]: ... @disjoint_base class OrderedDict(dict[_KT, _VT]): def popitem(self, last: bool = True) -> tuple[_KT, _VT]: ... def move_to_end(self, key: _KT, last: bool = True) -> None: ... def copy(self) -> Self: ... def __reversed__(self) -> Iterator[_KT]: ... def keys(self) -> _odict_keys[_KT, _VT]: ... def items(self) -> _odict_items[_KT, _VT]: ... def values(self) -> _odict_values[_KT, _VT]: ... # The signature of OrderedDict.fromkeys should be kept in line with `dict.fromkeys`, modulo positional-only differences. # Like dict.fromkeys, its true signature is not expressible in the current type system. # See #3800 & https://github.com/python/typing/issues/548#issuecomment-683336963. @classmethod @overload def fromkeys(cls, iterable: Iterable[_T], value: None = None) -> OrderedDict[_T, Any | None]: ... @classmethod @overload def fromkeys(cls, iterable: Iterable[_T], value: _S) -> OrderedDict[_T, _S]: ... # Keep OrderedDict.setdefault in line with MutableMapping.setdefault, modulo positional-only differences. @overload def setdefault(self: OrderedDict[_KT, _T | None], key: _KT, default: None = None) -> _T | None: ... @overload def setdefault(self, key: _KT, default: _VT) -> _VT: ... # Same as dict.pop, but accepts keyword arguments @overload def pop(self, key: _KT) -> _VT: ... @overload def pop(self, key: _KT, default: _VT) -> _VT: ... @overload def pop(self, key: _KT, default: _T) -> _VT | _T: ... def __eq__(self, value: object, /) -> bool: ... @overload def __or__(self, value: dict[_KT, _VT], /) -> Self: ... @overload def __or__(self, value: dict[_T1, _T2], /) -> OrderedDict[_KT | _T1, _VT | _T2]: ... @overload def __ror__(self, value: dict[_KT, _VT], /) -> Self: ... @overload def __ror__(self, value: dict[_T1, _T2], /) -> OrderedDict[_KT | _T1, _VT | _T2]: ... # type: ignore[misc] @disjoint_base class defaultdict(dict[_KT, _VT]): default_factory: Callable[[], _VT] | None @overload def __init__(self) -> None: ... @overload def __init__(self: defaultdict[str, _VT], **kwargs: _VT) -> None: ... # pyright: ignore[reportInvalidTypeVarUse] #11780 @overload def __init__(self, default_factory: Callable[[], _VT] | None, /) -> None: ... @overload def __init__( self: defaultdict[str, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 default_factory: Callable[[], _VT] | None, /, **kwargs: _VT, ) -> None: ... @overload def __init__(self, default_factory: Callable[[], _VT] | None, map: SupportsKeysAndGetItem[_KT, _VT], /) -> None: ... @overload def __init__( self: defaultdict[str, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 default_factory: Callable[[], _VT] | None, map: SupportsKeysAndGetItem[str, _VT], /, **kwargs: _VT, ) -> None: ... @overload def __init__(self, default_factory: Callable[[], _VT] | None, iterable: Iterable[tuple[_KT, _VT]], /) -> None: ... @overload def __init__( self: defaultdict[str, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 default_factory: Callable[[], _VT] | None, iterable: Iterable[tuple[str, _VT]], /, **kwargs: _VT, ) -> None: ... def __missing__(self, key: _KT, /) -> _VT: ... def __copy__(self) -> Self: ... def copy(self) -> Self: ... @overload def __or__(self, value: dict[_KT, _VT], /) -> Self: ... @overload def __or__(self, value: dict[_T1, _T2], /) -> defaultdict[_KT | _T1, _VT | _T2]: ... @overload def __ror__(self, value: dict[_KT, _VT], /) -> Self: ... @overload def __ror__(self, value: dict[_T1, _T2], /) -> defaultdict[_KT | _T1, _VT | _T2]: ... # type: ignore[misc] class ChainMap(MutableMapping[_KT, _VT]): maps: list[MutableMapping[_KT, _VT]] def __init__(self, *maps: MutableMapping[_KT, _VT]) -> None: ... def new_child(self, m: MutableMapping[_KT, _VT] | None = None) -> Self: ... @property def parents(self) -> Self: ... def __setitem__(self, key: _KT, value: _VT) -> None: ... def __delitem__(self, key: _KT) -> None: ... def __getitem__(self, key: _KT) -> _VT: ... def __iter__(self) -> Iterator[_KT]: ... def __len__(self) -> int: ... def __contains__(self, key: object) -> bool: ... @overload def get(self, key: _KT, default: None = None) -> _VT | None: ... @overload def get(self, key: _KT, default: _VT) -> _VT: ... @overload def get(self, key: _KT, default: _T) -> _VT | _T: ... def __missing__(self, key: _KT) -> _VT: ... # undocumented def __bool__(self) -> bool: ... # Keep ChainMap.setdefault in line with MutableMapping.setdefault, modulo positional-only differences. @overload def setdefault(self: ChainMap[_KT, _T | None], key: _KT, default: None = None) -> _T | None: ... @overload def setdefault(self, key: _KT, default: _VT) -> _VT: ... @overload def pop(self, key: _KT) -> _VT: ... @overload def pop(self, key: _KT, default: _VT) -> _VT: ... @overload def pop(self, key: _KT, default: _T) -> _VT | _T: ... def copy(self) -> Self: ... __copy__ = copy # All arguments to `fromkeys` are passed to `dict.fromkeys` at runtime, # so the signature should be kept in line with `dict.fromkeys`. if sys.version_info >= (3, 13): @classmethod @overload def fromkeys(cls, iterable: Iterable[_T], /) -> ChainMap[_T, Any | None]: ... else: @classmethod @overload def fromkeys(cls, iterable: Iterable[_T]) -> ChainMap[_T, Any | None]: ... @classmethod @overload # Special-case None: the user probably wants to add non-None values later. def fromkeys(cls, iterable: Iterable[_T], value: None, /) -> ChainMap[_T, Any | None]: ... @classmethod @overload def fromkeys(cls, iterable: Iterable[_T], value: _S, /) -> ChainMap[_T, _S]: ... @overload def __or__(self, other: Mapping[_KT, _VT]) -> Self: ... @overload def __or__(self, other: Mapping[_T1, _T2]) -> ChainMap[_KT | _T1, _VT | _T2]: ... @overload def __ror__(self, other: Mapping[_KT, _VT]) -> Self: ... @overload def __ror__(self, other: Mapping[_T1, _T2]) -> ChainMap[_KT | _T1, _VT | _T2]: ... # ChainMap.__ior__ should be kept roughly in line with MutableMapping.update() @overload # type: ignore[misc] def __ior__(self, other: SupportsKeysAndGetItem[_KT, _VT]) -> Self: ... @overload def __ior__(self, other: Iterable[tuple[_KT, _VT]]) -> Self: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/collections/abc.pyi0000644000175100017510000000011715112307767022150 0ustar00runnerrunnerfrom _collections_abc import * from _collections_abc import __all__ as __all__ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/colorsys.pyi0000644000175100017510000000127015112307767020763 0ustar00runnerrunnerfrom typing import Final __all__ = ["rgb_to_yiq", "yiq_to_rgb", "rgb_to_hls", "hls_to_rgb", "rgb_to_hsv", "hsv_to_rgb"] def rgb_to_yiq(r: float, g: float, b: float) -> tuple[float, float, float]: ... def yiq_to_rgb(y: float, i: float, q: float) -> tuple[float, float, float]: ... def rgb_to_hls(r: float, g: float, b: float) -> tuple[float, float, float]: ... def hls_to_rgb(h: float, l: float, s: float) -> tuple[float, float, float]: ... def rgb_to_hsv(r: float, g: float, b: float) -> tuple[float, float, float]: ... def hsv_to_rgb(h: float, s: float, v: float) -> tuple[float, float, float]: ... # TODO: undocumented ONE_SIXTH: Final[float] ONE_THIRD: Final[float] TWO_THIRD: Final[float] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compileall.pyi0000644000175100017510000000530515112307767021232 0ustar00runnerrunnerimport sys from _typeshed import StrPath from py_compile import PycInvalidationMode from typing import Any, Protocol, type_check_only __all__ = ["compile_dir", "compile_file", "compile_path"] @type_check_only class _SupportsSearch(Protocol): def search(self, string: str, /) -> Any: ... if sys.version_info >= (3, 10): def compile_dir( dir: StrPath, maxlevels: int | None = None, ddir: StrPath | None = None, force: bool = False, rx: _SupportsSearch | None = None, quiet: int = 0, legacy: bool = False, optimize: int = -1, workers: int = 1, invalidation_mode: PycInvalidationMode | None = None, *, stripdir: StrPath | None = None, prependdir: StrPath | None = None, limit_sl_dest: StrPath | None = None, hardlink_dupes: bool = False, ) -> bool: ... def compile_file( fullname: StrPath, ddir: StrPath | None = None, force: bool = False, rx: _SupportsSearch | None = None, quiet: int = 0, legacy: bool = False, optimize: int = -1, invalidation_mode: PycInvalidationMode | None = None, *, stripdir: StrPath | None = None, prependdir: StrPath | None = None, limit_sl_dest: StrPath | None = None, hardlink_dupes: bool = False, ) -> bool: ... else: def compile_dir( dir: StrPath, maxlevels: int | None = None, ddir: StrPath | None = None, force: bool = False, rx: _SupportsSearch | None = None, quiet: int = 0, legacy: bool = False, optimize: int = -1, workers: int = 1, invalidation_mode: PycInvalidationMode | None = None, *, stripdir: str | None = None, # https://bugs.python.org/issue40447 prependdir: StrPath | None = None, limit_sl_dest: StrPath | None = None, hardlink_dupes: bool = False, ) -> bool: ... def compile_file( fullname: StrPath, ddir: StrPath | None = None, force: bool = False, rx: _SupportsSearch | None = None, quiet: int = 0, legacy: bool = False, optimize: int = -1, invalidation_mode: PycInvalidationMode | None = None, *, stripdir: str | None = None, # https://bugs.python.org/issue40447 prependdir: StrPath | None = None, limit_sl_dest: StrPath | None = None, hardlink_dupes: bool = False, ) -> bool: ... def compile_path( skip_curdir: bool = ..., maxlevels: int = 0, force: bool = False, quiet: int = 0, legacy: bool = False, optimize: int = -1, invalidation_mode: PycInvalidationMode | None = None, ) -> bool: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.543765 mypy-1.19.0/mypy/typeshed/stdlib/compression/0000755000175100017510000000000015112310012020675 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/__init__.pyi0000644000175100017510000000000015112307767023174 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.543765 mypy-1.19.0/mypy/typeshed/stdlib/compression/_common/0000755000175100017510000000000015112310012022324 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/_common/__init__.pyi0000644000175100017510000000000015112307767024623 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/_common/_streams.pyi0000644000175100017510000000247315112307767024721 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer, WriteableBuffer from collections.abc import Callable from io import DEFAULT_BUFFER_SIZE, BufferedIOBase, RawIOBase from typing import Any, Protocol, type_check_only BUFFER_SIZE = DEFAULT_BUFFER_SIZE @type_check_only class _Reader(Protocol): def read(self, n: int, /) -> bytes: ... def seekable(self) -> bool: ... def seek(self, n: int, /) -> Any: ... @type_check_only class _Decompressor(Protocol): def decompress(self, data: ReadableBuffer, /, max_length: int = ...) -> bytes: ... @property def unused_data(self) -> bytes: ... @property def eof(self) -> bool: ... # `zlib._Decompress` does not have next property, but `DecompressReader` calls it: # @property # def needs_input(self) -> bool: ... class BaseStream(BufferedIOBase): ... class DecompressReader(RawIOBase): def __init__( self, fp: _Reader, decomp_factory: Callable[..., _Decompressor], # Consider backporting changes to _compression trailing_error: type[Exception] | tuple[type[Exception], ...] = (), **decomp_args: Any, # These are passed to decomp_factory. ) -> None: ... def readinto(self, b: WriteableBuffer) -> int: ... def read(self, size: int = -1) -> bytes: ... def seek(self, offset: int, whence: int = 0) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/bz2.pyi0000644000175100017510000000002215112307767022136 0ustar00runnerrunnerfrom bz2 import * ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/gzip.pyi0000644000175100017510000000002315112307767022413 0ustar00runnerrunnerfrom gzip import * ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/lzma.pyi0000644000175100017510000000002315112307767022405 0ustar00runnerrunnerfrom lzma import * ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/zlib.pyi0000644000175100017510000000002315112307767022402 0ustar00runnerrunnerfrom zlib import * ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.543765 mypy-1.19.0/mypy/typeshed/stdlib/compression/zstd/0000755000175100017510000000000015112310012021661 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/zstd/__init__.pyi0000644000175100017510000000573515112307767024204 0ustar00runnerrunnerimport enum from _typeshed import ReadableBuffer from collections.abc import Iterable, Mapping from compression.zstd._zstdfile import ZstdFile, open from typing import Final, final import _zstd from _zstd import ZstdCompressor, ZstdDecompressor, ZstdDict, ZstdError, get_frame_size, zstd_version __all__ = ( # compression.zstd "COMPRESSION_LEVEL_DEFAULT", "compress", "CompressionParameter", "decompress", "DecompressionParameter", "finalize_dict", "get_frame_info", "Strategy", "train_dict", # compression.zstd._zstdfile "open", "ZstdFile", # _zstd "get_frame_size", "zstd_version", "zstd_version_info", "ZstdCompressor", "ZstdDecompressor", "ZstdDict", "ZstdError", ) zstd_version_info: Final[tuple[int, int, int]] COMPRESSION_LEVEL_DEFAULT: Final = _zstd.ZSTD_CLEVEL_DEFAULT class FrameInfo: __slots__ = ("decompressed_size", "dictionary_id") decompressed_size: int dictionary_id: int def __init__(self, decompressed_size: int, dictionary_id: int) -> None: ... def get_frame_info(frame_buffer: ReadableBuffer) -> FrameInfo: ... def train_dict(samples: Iterable[ReadableBuffer], dict_size: int) -> ZstdDict: ... def finalize_dict(zstd_dict: ZstdDict, /, samples: Iterable[ReadableBuffer], dict_size: int, level: int) -> ZstdDict: ... def compress( data: ReadableBuffer, level: int | None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None ) -> bytes: ... def decompress(data: ReadableBuffer, zstd_dict: ZstdDict | None = None, options: Mapping[int, int] | None = None) -> bytes: ... @final class CompressionParameter(enum.IntEnum): compression_level = _zstd.ZSTD_c_compressionLevel window_log = _zstd.ZSTD_c_windowLog hash_log = _zstd.ZSTD_c_hashLog chain_log = _zstd.ZSTD_c_chainLog search_log = _zstd.ZSTD_c_searchLog min_match = _zstd.ZSTD_c_minMatch target_length = _zstd.ZSTD_c_targetLength strategy = _zstd.ZSTD_c_strategy enable_long_distance_matching = _zstd.ZSTD_c_enableLongDistanceMatching ldm_hash_log = _zstd.ZSTD_c_ldmHashLog ldm_min_match = _zstd.ZSTD_c_ldmMinMatch ldm_bucket_size_log = _zstd.ZSTD_c_ldmBucketSizeLog ldm_hash_rate_log = _zstd.ZSTD_c_ldmHashRateLog content_size_flag = _zstd.ZSTD_c_contentSizeFlag checksum_flag = _zstd.ZSTD_c_checksumFlag dict_id_flag = _zstd.ZSTD_c_dictIDFlag nb_workers = _zstd.ZSTD_c_nbWorkers job_size = _zstd.ZSTD_c_jobSize overlap_log = _zstd.ZSTD_c_overlapLog def bounds(self) -> tuple[int, int]: ... @final class DecompressionParameter(enum.IntEnum): window_log_max = _zstd.ZSTD_d_windowLogMax def bounds(self) -> tuple[int, int]: ... @final class Strategy(enum.IntEnum): fast = _zstd.ZSTD_fast dfast = _zstd.ZSTD_dfast greedy = _zstd.ZSTD_greedy lazy = _zstd.ZSTD_lazy lazy2 = _zstd.ZSTD_lazy2 btlazy2 = _zstd.ZSTD_btlazy2 btopt = _zstd.ZSTD_btopt btultra = _zstd.ZSTD_btultra btultra2 = _zstd.ZSTD_btultra2 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/compression/zstd/_zstdfile.pyi0000644000175100017510000000707315112307767024425 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer, StrOrBytesPath, SupportsWrite, WriteableBuffer from collections.abc import Mapping from compression._common import _streams from compression.zstd import ZstdDict from io import TextIOWrapper, _WrappedBuffer from typing import Literal, Protocol, overload, type_check_only from typing_extensions import TypeAlias from _zstd import ZstdCompressor, _ZstdCompressorFlushBlock, _ZstdCompressorFlushFrame __all__ = ("ZstdFile", "open") _ReadBinaryMode: TypeAlias = Literal["r", "rb"] _WriteBinaryMode: TypeAlias = Literal["w", "wb", "x", "xb", "a", "ab"] _ReadTextMode: TypeAlias = Literal["rt"] _WriteTextMode: TypeAlias = Literal["wt", "xt", "at"] @type_check_only class _FileBinaryRead(_streams._Reader, Protocol): def close(self) -> None: ... @type_check_only class _FileBinaryWrite(SupportsWrite[bytes], Protocol): def close(self) -> None: ... class ZstdFile(_streams.BaseStream): FLUSH_BLOCK = ZstdCompressor.FLUSH_BLOCK FLUSH_FRAME = ZstdCompressor.FLUSH_FRAME @overload def __init__( self, file: StrOrBytesPath | _FileBinaryRead, /, mode: _ReadBinaryMode = "r", *, level: None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, ) -> None: ... @overload def __init__( self, file: StrOrBytesPath | _FileBinaryWrite, /, mode: _WriteBinaryMode, *, level: int | None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, ) -> None: ... def write(self, data: ReadableBuffer, /) -> int: ... def flush(self, mode: _ZstdCompressorFlushBlock | _ZstdCompressorFlushFrame = 1) -> bytes: ... # type: ignore[override] def read(self, size: int | None = -1) -> bytes: ... def read1(self, size: int | None = -1) -> bytes: ... def readinto(self, b: WriteableBuffer) -> int: ... def readinto1(self, b: WriteableBuffer) -> int: ... def readline(self, size: int | None = -1) -> bytes: ... def seek(self, offset: int, whence: int = 0) -> int: ... def peek(self, size: int = -1) -> bytes: ... @property def name(self) -> str | bytes: ... @property def mode(self) -> Literal["rb", "wb"]: ... @overload def open( file: StrOrBytesPath | _FileBinaryRead, /, mode: _ReadBinaryMode = "rb", *, level: None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> ZstdFile: ... @overload def open( file: StrOrBytesPath | _FileBinaryWrite, /, mode: _WriteBinaryMode, *, level: int | None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> ZstdFile: ... @overload def open( file: StrOrBytesPath | _WrappedBuffer, /, mode: _ReadTextMode, *, level: None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... @overload def open( file: StrOrBytesPath | _WrappedBuffer, /, mode: _WriteTextMode, *, level: int | None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.544765 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/0000755000175100017510000000000015112310012020516 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/__init__.pyi0000644000175100017510000000000015112307767023015 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.544765 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/futures/0000755000175100017510000000000015112310012022213 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/futures/__init__.pyi0000644000175100017510000000334515112307767024531 0ustar00runnerrunnerimport sys from ._base import ( ALL_COMPLETED as ALL_COMPLETED, FIRST_COMPLETED as FIRST_COMPLETED, FIRST_EXCEPTION as FIRST_EXCEPTION, BrokenExecutor as BrokenExecutor, CancelledError as CancelledError, Executor as Executor, Future as Future, InvalidStateError as InvalidStateError, TimeoutError as TimeoutError, as_completed as as_completed, wait as wait, ) from .process import ProcessPoolExecutor as ProcessPoolExecutor from .thread import ThreadPoolExecutor as ThreadPoolExecutor if sys.version_info >= (3, 14): from .interpreter import InterpreterPoolExecutor as InterpreterPoolExecutor __all__ = [ "FIRST_COMPLETED", "FIRST_EXCEPTION", "ALL_COMPLETED", "CancelledError", "TimeoutError", "InvalidStateError", "BrokenExecutor", "Future", "Executor", "wait", "as_completed", "ProcessPoolExecutor", "ThreadPoolExecutor", "InterpreterPoolExecutor", ] elif sys.version_info >= (3, 13): __all__ = ( "FIRST_COMPLETED", "FIRST_EXCEPTION", "ALL_COMPLETED", "CancelledError", "TimeoutError", "InvalidStateError", "BrokenExecutor", "Future", "Executor", "wait", "as_completed", "ProcessPoolExecutor", "ThreadPoolExecutor", ) else: __all__ = ( "FIRST_COMPLETED", "FIRST_EXCEPTION", "ALL_COMPLETED", "CancelledError", "TimeoutError", "BrokenExecutor", "Future", "Executor", "wait", "as_completed", "ProcessPoolExecutor", "ThreadPoolExecutor", ) def __dir__() -> tuple[str, ...]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/futures/_base.pyi0000644000175100017510000001037215112307767024041 0ustar00runnerrunnerimport sys import threading from _typeshed import Unused from collections.abc import Callable, Iterable, Iterator from logging import Logger from types import GenericAlias, TracebackType from typing import Any, Final, Generic, NamedTuple, Protocol, TypeVar, type_check_only from typing_extensions import ParamSpec, Self FIRST_COMPLETED: Final = "FIRST_COMPLETED" FIRST_EXCEPTION: Final = "FIRST_EXCEPTION" ALL_COMPLETED: Final = "ALL_COMPLETED" PENDING: Final = "PENDING" RUNNING: Final = "RUNNING" CANCELLED: Final = "CANCELLED" CANCELLED_AND_NOTIFIED: Final = "CANCELLED_AND_NOTIFIED" FINISHED: Final = "FINISHED" _STATE_TO_DESCRIPTION_MAP: Final[dict[str, str]] LOGGER: Logger class Error(Exception): ... class CancelledError(Error): ... if sys.version_info >= (3, 11): from builtins import TimeoutError as TimeoutError else: class TimeoutError(Error): ... class InvalidStateError(Error): ... class BrokenExecutor(RuntimeError): ... _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _P = ParamSpec("_P") class Future(Generic[_T]): _condition: threading.Condition _state: str _result: _T | None _exception: BaseException | None _waiters: list[_Waiter] def cancel(self) -> bool: ... def cancelled(self) -> bool: ... def running(self) -> bool: ... def done(self) -> bool: ... def add_done_callback(self, fn: Callable[[Future[_T]], object]) -> None: ... def result(self, timeout: float | None = None) -> _T: ... def set_running_or_notify_cancel(self) -> bool: ... def set_result(self, result: _T) -> None: ... def exception(self, timeout: float | None = None) -> BaseException | None: ... def set_exception(self, exception: BaseException | None) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class Executor: def submit(self, fn: Callable[_P, _T], /, *args: _P.args, **kwargs: _P.kwargs) -> Future[_T]: ... if sys.version_info >= (3, 14): def map( self, fn: Callable[..., _T], *iterables: Iterable[Any], timeout: float | None = None, chunksize: int = 1, buffersize: int | None = None, ) -> Iterator[_T]: ... else: def map( self, fn: Callable[..., _T], *iterables: Iterable[Any], timeout: float | None = None, chunksize: int = 1 ) -> Iterator[_T]: ... def shutdown(self, wait: bool = True, *, cancel_futures: bool = False) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> bool | None: ... @type_check_only class _AsCompletedFuture(Protocol[_T_co]): # as_completed only mutates non-generic aspects of passed Futures and does not do any nominal # checks. Therefore, we can use a Protocol here to allow as_completed to act covariantly. # See the tests for concurrent.futures _condition: threading.Condition _state: str _waiters: list[_Waiter] # Not used by as_completed, but needed to propagate the generic type def result(self, timeout: float | None = None) -> _T_co: ... def as_completed(fs: Iterable[_AsCompletedFuture[_T]], timeout: float | None = None) -> Iterator[Future[_T]]: ... class DoneAndNotDoneFutures(NamedTuple, Generic[_T]): done: set[Future[_T]] not_done: set[Future[_T]] def wait( fs: Iterable[Future[_T]], timeout: float | None = None, return_when: str = "ALL_COMPLETED" ) -> DoneAndNotDoneFutures[_T]: ... class _Waiter: event: threading.Event finished_futures: list[Future[Any]] def add_result(self, future: Future[Any]) -> None: ... def add_exception(self, future: Future[Any]) -> None: ... def add_cancelled(self, future: Future[Any]) -> None: ... class _AsCompletedWaiter(_Waiter): lock: threading.Lock class _FirstCompletedWaiter(_Waiter): ... class _AllCompletedWaiter(_Waiter): num_pending_calls: int stop_on_exception: bool lock: threading.Lock def __init__(self, num_pending_calls: int, stop_on_exception: bool) -> None: ... class _AcquireFutures: futures: Iterable[Future[Any]] def __init__(self, futures: Iterable[Future[Any]]) -> None: ... def __enter__(self) -> None: ... def __exit__(self, *args: Unused) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/futures/interpreter.pyi0000644000175100017510000000575515112307767025344 0ustar00runnerrunnerimport sys from collections.abc import Callable from concurrent.futures import ThreadPoolExecutor from typing import Any, Literal, Protocol, overload, type_check_only from typing_extensions import ParamSpec, Self, TypeAlias, TypeVar, TypeVarTuple, Unpack _Task: TypeAlias = tuple[bytes, Literal["function", "script"]] _Ts = TypeVarTuple("_Ts") _P = ParamSpec("_P") _R = TypeVar("_R") @type_check_only class _TaskFunc(Protocol): @overload def __call__(self, fn: Callable[_P, _R], *args: _P.args, **kwargs: _P.kwargs) -> tuple[bytes, Literal["function"]]: ... @overload def __call__(self, fn: str) -> tuple[bytes, Literal["script"]]: ... if sys.version_info >= (3, 14): from concurrent.futures.thread import BrokenThreadPool, WorkerContext as ThreadWorkerContext from concurrent.interpreters import Interpreter, Queue def do_call(results: Queue, func: Callable[..., _R], args: tuple[Any, ...], kwargs: dict[str, Any]) -> _R: ... class WorkerContext(ThreadWorkerContext): interp: Interpreter | None results: Queue | None @overload # type: ignore[override] @classmethod def prepare( cls, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]] ) -> tuple[Callable[[], Self], _TaskFunc]: ... @overload @classmethod def prepare(cls, initializer: Callable[[], object], initargs: tuple[()]) -> tuple[Callable[[], Self], _TaskFunc]: ... def __init__(self, initdata: _Task) -> None: ... def __del__(self) -> None: ... def run(self, task: _Task) -> None: ... # type: ignore[override] class BrokenInterpreterPool(BrokenThreadPool): ... class InterpreterPoolExecutor(ThreadPoolExecutor): BROKEN: type[BrokenInterpreterPool] @overload # type: ignore[override] @classmethod def prepare_context( cls, initializer: Callable[[], object], initargs: tuple[()] ) -> tuple[Callable[[], WorkerContext], _TaskFunc]: ... @overload @classmethod def prepare_context( cls, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]] ) -> tuple[Callable[[], WorkerContext], _TaskFunc]: ... @overload def __init__( self, max_workers: int | None = None, thread_name_prefix: str = "", initializer: Callable[[], object] | None = None, initargs: tuple[()] = (), ) -> None: ... @overload def __init__( self, max_workers: int | None = None, thread_name_prefix: str = "", *, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], ) -> None: ... @overload def __init__( self, max_workers: int | None, thread_name_prefix: str, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/futures/process.pyi0000644000175100017510000001775015112307767024455 0ustar00runnerrunnerimport sys from collections.abc import Callable, Generator, Iterable, Mapping, MutableMapping, MutableSequence from multiprocessing.connection import Connection from multiprocessing.context import BaseContext, Process from multiprocessing.queues import Queue, SimpleQueue from threading import Lock, Semaphore, Thread from types import TracebackType from typing import Any, Final, Generic, TypeVar, overload from typing_extensions import TypeVarTuple, Unpack from weakref import ref from ._base import BrokenExecutor, Executor, Future _T = TypeVar("_T") _Ts = TypeVarTuple("_Ts") _threads_wakeups: MutableMapping[Any, Any] _global_shutdown: bool class _ThreadWakeup: _closed: bool # Any: Unused send and recv methods _reader: Connection[Any, Any] _writer: Connection[Any, Any] def close(self) -> None: ... def wakeup(self) -> None: ... def clear(self) -> None: ... def _python_exit() -> None: ... EXTRA_QUEUED_CALLS: Final = 1 _MAX_WINDOWS_WORKERS: Final = 61 class _RemoteTraceback(Exception): tb: str def __init__(self, tb: TracebackType) -> None: ... class _ExceptionWithTraceback: exc: BaseException tb: TracebackType def __init__(self, exc: BaseException, tb: TracebackType) -> None: ... def __reduce__(self) -> str | tuple[Any, ...]: ... def _rebuild_exc(exc: Exception, tb: str) -> Exception: ... class _WorkItem(Generic[_T]): future: Future[_T] fn: Callable[..., _T] args: Iterable[Any] kwargs: Mapping[str, Any] def __init__(self, future: Future[_T], fn: Callable[..., _T], args: Iterable[Any], kwargs: Mapping[str, Any]) -> None: ... class _ResultItem: work_id: int exception: Exception result: Any if sys.version_info >= (3, 11): exit_pid: int | None def __init__( self, work_id: int, exception: Exception | None = None, result: Any | None = None, exit_pid: int | None = None ) -> None: ... else: def __init__(self, work_id: int, exception: Exception | None = None, result: Any | None = None) -> None: ... class _CallItem: work_id: int fn: Callable[..., Any] args: Iterable[Any] kwargs: Mapping[str, Any] def __init__(self, work_id: int, fn: Callable[..., Any], args: Iterable[Any], kwargs: Mapping[str, Any]) -> None: ... class _SafeQueue(Queue[Future[Any]]): pending_work_items: dict[int, _WorkItem[Any]] if sys.version_info < (3, 12): shutdown_lock: Lock thread_wakeup: _ThreadWakeup if sys.version_info >= (3, 12): def __init__( self, max_size: int | None = 0, *, ctx: BaseContext, pending_work_items: dict[int, _WorkItem[Any]], thread_wakeup: _ThreadWakeup, ) -> None: ... else: def __init__( self, max_size: int | None = 0, *, ctx: BaseContext, pending_work_items: dict[int, _WorkItem[Any]], shutdown_lock: Lock, thread_wakeup: _ThreadWakeup, ) -> None: ... def _on_queue_feeder_error(self, e: Exception, obj: _CallItem) -> None: ... def _get_chunks(*iterables: Any, chunksize: int) -> Generator[tuple[Any, ...], None, None]: ... def _process_chunk(fn: Callable[..., _T], chunk: Iterable[tuple[Any, ...]]) -> list[_T]: ... if sys.version_info >= (3, 11): def _sendback_result( result_queue: SimpleQueue[_WorkItem[Any]], work_id: int, result: Any | None = None, exception: Exception | None = None, exit_pid: int | None = None, ) -> None: ... else: def _sendback_result( result_queue: SimpleQueue[_WorkItem[Any]], work_id: int, result: Any | None = None, exception: Exception | None = None ) -> None: ... if sys.version_info >= (3, 11): def _process_worker( call_queue: Queue[_CallItem], result_queue: SimpleQueue[_ResultItem], initializer: Callable[[Unpack[_Ts]], object] | None, initargs: tuple[Unpack[_Ts]], max_tasks: int | None = None, ) -> None: ... else: def _process_worker( call_queue: Queue[_CallItem], result_queue: SimpleQueue[_ResultItem], initializer: Callable[[Unpack[_Ts]], object] | None, initargs: tuple[Unpack[_Ts]], ) -> None: ... class _ExecutorManagerThread(Thread): thread_wakeup: _ThreadWakeup shutdown_lock: Lock executor_reference: ref[Any] processes: MutableMapping[int, Process] call_queue: Queue[_CallItem] result_queue: SimpleQueue[_ResultItem] work_ids_queue: Queue[int] pending_work_items: dict[int, _WorkItem[Any]] def __init__(self, executor: ProcessPoolExecutor) -> None: ... def run(self) -> None: ... def add_call_item_to_queue(self) -> None: ... def wait_result_broken_or_wakeup(self) -> tuple[Any, bool, str]: ... def process_result_item(self, result_item: int | _ResultItem) -> None: ... def is_shutting_down(self) -> bool: ... def terminate_broken(self, cause: str) -> None: ... def flag_executor_shutting_down(self) -> None: ... def shutdown_workers(self) -> None: ... def join_executor_internals(self) -> None: ... def get_n_children_alive(self) -> int: ... _system_limits_checked: bool _system_limited: bool | None def _check_system_limits() -> None: ... def _chain_from_iterable_of_lists(iterable: Iterable[MutableSequence[Any]]) -> Any: ... class BrokenProcessPool(BrokenExecutor): ... class ProcessPoolExecutor(Executor): _mp_context: BaseContext | None _initializer: Callable[..., None] | None _initargs: tuple[Any, ...] _executor_manager_thread: _ThreadWakeup _processes: MutableMapping[int, Process] _shutdown_thread: bool _shutdown_lock: Lock _idle_worker_semaphore: Semaphore _broken: bool _queue_count: int _pending_work_items: dict[int, _WorkItem[Any]] _cancel_pending_futures: bool _executor_manager_thread_wakeup: _ThreadWakeup _result_queue: SimpleQueue[Any] _work_ids: Queue[Any] if sys.version_info >= (3, 11): @overload def __init__( self, max_workers: int | None = None, mp_context: BaseContext | None = None, initializer: Callable[[], object] | None = None, initargs: tuple[()] = (), *, max_tasks_per_child: int | None = None, ) -> None: ... @overload def __init__( self, max_workers: int | None = None, mp_context: BaseContext | None = None, *, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], max_tasks_per_child: int | None = None, ) -> None: ... @overload def __init__( self, max_workers: int | None, mp_context: BaseContext | None, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], *, max_tasks_per_child: int | None = None, ) -> None: ... else: @overload def __init__( self, max_workers: int | None = None, mp_context: BaseContext | None = None, initializer: Callable[[], object] | None = None, initargs: tuple[()] = (), ) -> None: ... @overload def __init__( self, max_workers: int | None = None, mp_context: BaseContext | None = None, *, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], ) -> None: ... @overload def __init__( self, max_workers: int | None, mp_context: BaseContext | None, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], ) -> None: ... def _start_executor_manager_thread(self) -> None: ... def _adjust_process_count(self) -> None: ... if sys.version_info >= (3, 14): def kill_workers(self) -> None: ... def terminate_workers(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/futures/thread.pyi0000644000175100017510000001120215112307767024230 0ustar00runnerrunnerimport queue import sys from collections.abc import Callable, Iterable, Mapping, Set as AbstractSet from threading import Lock, Semaphore, Thread from types import GenericAlias from typing import Any, Generic, Protocol, TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias, TypeVarTuple, Unpack from weakref import ref from ._base import BrokenExecutor, Executor, Future _Ts = TypeVarTuple("_Ts") _threads_queues: Mapping[Any, Any] _shutdown: bool _global_shutdown_lock: Lock def _python_exit() -> None: ... _S = TypeVar("_S") _Task: TypeAlias = tuple[Callable[..., Any], tuple[Any, ...], dict[str, Any]] _C = TypeVar("_C", bound=Callable[..., object]) _KT = TypeVar("_KT", bound=str) _VT = TypeVar("_VT") @type_check_only class _ResolveTaskFunc(Protocol): def __call__( self, func: _C, args: tuple[Unpack[_Ts]], kwargs: dict[_KT, _VT] ) -> tuple[_C, tuple[Unpack[_Ts]], dict[_KT, _VT]]: ... if sys.version_info >= (3, 14): class WorkerContext: @overload @classmethod def prepare( cls, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]] ) -> tuple[Callable[[], Self], _ResolveTaskFunc]: ... @overload @classmethod def prepare( cls, initializer: Callable[[], object], initargs: tuple[()] ) -> tuple[Callable[[], Self], _ResolveTaskFunc]: ... @overload def __init__(self, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]]) -> None: ... @overload def __init__(self, initializer: Callable[[], object], initargs: tuple[()]) -> None: ... def initialize(self) -> None: ... def finalize(self) -> None: ... def run(self, task: _Task) -> None: ... if sys.version_info >= (3, 14): class _WorkItem(Generic[_S]): future: Future[Any] task: _Task def __init__(self, future: Future[Any], task: _Task) -> None: ... def run(self, ctx: WorkerContext) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def _worker(executor_reference: ref[Any], ctx: WorkerContext, work_queue: queue.SimpleQueue[Any]) -> None: ... else: class _WorkItem(Generic[_S]): future: Future[_S] fn: Callable[..., _S] args: Iterable[Any] kwargs: Mapping[str, Any] def __init__(self, future: Future[_S], fn: Callable[..., _S], args: Iterable[Any], kwargs: Mapping[str, Any]) -> None: ... def run(self) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def _worker( executor_reference: ref[Any], work_queue: queue.SimpleQueue[Any], initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], ) -> None: ... class BrokenThreadPool(BrokenExecutor): ... class ThreadPoolExecutor(Executor): if sys.version_info >= (3, 14): BROKEN: type[BrokenThreadPool] _max_workers: int _idle_semaphore: Semaphore _threads: AbstractSet[Thread] _broken: bool _shutdown: bool _shutdown_lock: Lock _thread_name_prefix: str | None if sys.version_info >= (3, 14): _create_worker_context: Callable[[], WorkerContext] _resolve_work_item_task: _ResolveTaskFunc else: _initializer: Callable[..., None] | None _initargs: tuple[Any, ...] _work_queue: queue.SimpleQueue[_WorkItem[Any]] if sys.version_info >= (3, 14): @overload @classmethod def prepare_context( cls, initializer: Callable[[], object], initargs: tuple[()] ) -> tuple[Callable[[], WorkerContext], _ResolveTaskFunc]: ... @overload @classmethod def prepare_context( cls, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]] ) -> tuple[Callable[[], WorkerContext], _ResolveTaskFunc]: ... @overload def __init__( self, max_workers: int | None = None, thread_name_prefix: str = "", initializer: Callable[[], object] | None = None, initargs: tuple[()] = (), ) -> None: ... @overload def __init__( self, max_workers: int | None = None, thread_name_prefix: str = "", *, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], ) -> None: ... @overload def __init__( self, max_workers: int | None, thread_name_prefix: str, initializer: Callable[[Unpack[_Ts]], object], initargs: tuple[Unpack[_Ts]], ) -> None: ... def _adjust_thread_count(self) -> None: ... def _initializer_failed(self) -> None: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.545765 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/interpreters/0000755000175100017510000000000015112310012023244 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/interpreters/__init__.pyi0000644000175100017510000000461115112307767025557 0ustar00runnerrunnerimport sys import threading import types from collections.abc import Callable from typing import Any, Literal, TypeVar from typing_extensions import ParamSpec, Self if sys.version_info >= (3, 13): # needed to satisfy pyright checks for Python <3.13 from _interpreters import ( InterpreterError as InterpreterError, InterpreterNotFoundError as InterpreterNotFoundError, NotShareableError as NotShareableError, _SharedDict, _Whence, is_shareable as is_shareable, ) from ._queues import Queue as Queue, QueueEmpty as QueueEmpty, QueueFull as QueueFull, create as create_queue __all__ = [ "ExecutionFailed", "Interpreter", "InterpreterError", "InterpreterNotFoundError", "NotShareableError", "Queue", "QueueEmpty", "QueueFull", "create", "create_queue", "get_current", "get_main", "is_shareable", "list_all", ] _R = TypeVar("_R") _P = ParamSpec("_P") class ExecutionFailed(InterpreterError): excinfo: types.SimpleNamespace def __init__(self, excinfo: types.SimpleNamespace) -> None: ... def create() -> Interpreter: ... def list_all() -> list[Interpreter]: ... def get_current() -> Interpreter: ... def get_main() -> Interpreter: ... class Interpreter: def __new__(cls, id: int, /, _whence: _Whence | None = None, _ownsref: bool | None = None) -> Self: ... def __reduce__(self) -> tuple[type[Self], int]: ... def __hash__(self) -> int: ... def __del__(self) -> None: ... @property def id(self) -> int: ... @property def whence( self, ) -> Literal["unknown", "runtime init", "legacy C-API", "C-API", "cross-interpreter C-API", "_interpreters module"]: ... def is_running(self) -> bool: ... def close(self) -> None: ... def prepare_main( self, ns: _SharedDict | None = None, /, **kwargs: Any ) -> None: ... # kwargs has same value restrictions as _SharedDict def exec(self, code: str | types.CodeType | Callable[[], object], /) -> None: ... def call(self, callable: Callable[_P, _R], /, *args: _P.args, **kwargs: _P.kwargs) -> _R: ... def call_in_thread(self, callable: Callable[_P, object], /, *args: _P.args, **kwargs: _P.kwargs) -> threading.Thread: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/interpreters/_crossinterp.pyi0000644000175100017510000000235115112307767026531 0ustar00runnerrunnerimport sys from collections.abc import Callable from typing import Final, NewType from typing_extensions import Never, Self, TypeAlias if sys.version_info >= (3, 13): # needed to satisfy pyright checks for Python <3.13 from _interpqueues import _UnboundOp class ItemInterpreterDestroyed(Exception): ... # Actually a descriptor that behaves similarly to classmethod but prevents # access from instances. classonly = classmethod class UnboundItem: __slots__ = () def __new__(cls) -> Never: ... @classonly def singleton(cls, kind: str, module: str, name: str = "UNBOUND") -> Self: ... # Sentinel types and alias that don't exist at runtime. _UnboundErrorType = NewType("_UnboundErrorType", object) _UnboundRemoveType = NewType("_UnboundRemoveType", object) _AnyUnbound: TypeAlias = _UnboundErrorType | _UnboundRemoveType | UnboundItem UNBOUND_ERROR: Final[_UnboundErrorType] UNBOUND_REMOVE: Final[_UnboundRemoveType] UNBOUND: Final[UnboundItem] # analogous to UNBOUND_REPLACE in C def serialize_unbound(unbound: _AnyUnbound) -> tuple[_UnboundOp]: ... def resolve_unbound(flag: _UnboundOp, exctype_destroyed: Callable[[str], BaseException]) -> UnboundItem: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/concurrent/interpreters/_queues.pyi0000644000175100017510000000505315112307767025467 0ustar00runnerrunnerimport queue import sys from typing import Final, SupportsIndex from typing_extensions import Self if sys.version_info >= (3, 13): # needed to satisfy pyright checks for Python <3.13 from _interpqueues import QueueError as QueueError, QueueNotFoundError as QueueNotFoundError from . import _crossinterp from ._crossinterp import UNBOUND_ERROR as UNBOUND_ERROR, UNBOUND_REMOVE as UNBOUND_REMOVE, UnboundItem, _AnyUnbound __all__ = [ "UNBOUND", "UNBOUND_ERROR", "UNBOUND_REMOVE", "ItemInterpreterDestroyed", "Queue", "QueueEmpty", "QueueError", "QueueFull", "QueueNotFoundError", "create", "list_all", ] class QueueEmpty(QueueError, queue.Empty): ... class QueueFull(QueueError, queue.Full): ... class ItemInterpreterDestroyed(QueueError, _crossinterp.ItemInterpreterDestroyed): ... UNBOUND: Final[UnboundItem] def create(maxsize: int = 0, *, unbounditems: _AnyUnbound = ...) -> Queue: ... def list_all() -> list[Queue]: ... class Queue: def __new__(cls, id: int, /) -> Self: ... def __del__(self) -> None: ... def __hash__(self) -> int: ... def __reduce__(self) -> tuple[type[Self], int]: ... @property def id(self) -> int: ... @property def unbounditems(self) -> _AnyUnbound: ... @property def maxsize(self) -> int: ... def empty(self) -> bool: ... def full(self) -> bool: ... def qsize(self) -> int: ... if sys.version_info >= (3, 14): def put( self, obj: object, block: bool = True, timeout: SupportsIndex | None = None, *, unbounditems: _AnyUnbound | None = None, _delay: float = 0.01, ) -> None: ... else: def put( self, obj: object, timeout: SupportsIndex | None = None, *, unbounditems: _AnyUnbound | None = None, _delay: float = 0.01, ) -> None: ... def put_nowait(self, obj: object, *, unbounditems: _AnyUnbound | None = None) -> None: ... if sys.version_info >= (3, 14): def get(self, block: bool = True, timeout: SupportsIndex | None = None, *, _delay: float = 0.01) -> object: ... else: def get(self, timeout: SupportsIndex | None = None, *, _delay: float = 0.01) -> object: ... def get_nowait(self) -> object: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/configparser.pyi0000644000175100017510000004623215112307767021577 0ustar00runnerrunnerimport sys from _typeshed import MaybeNone, StrOrBytesPath, SupportsWrite from collections.abc import Callable, ItemsView, Iterable, Iterator, Mapping, MutableMapping, Sequence from re import Pattern from typing import Any, ClassVar, Final, Literal, TypeVar, overload, type_check_only from typing_extensions import TypeAlias, deprecated if sys.version_info >= (3, 14): __all__ = ( "NoSectionError", "DuplicateOptionError", "DuplicateSectionError", "NoOptionError", "InterpolationError", "InterpolationDepthError", "InterpolationMissingOptionError", "InterpolationSyntaxError", "ParsingError", "MissingSectionHeaderError", "MultilineContinuationError", "UnnamedSectionDisabledError", "InvalidWriteError", "ConfigParser", "RawConfigParser", "Interpolation", "BasicInterpolation", "ExtendedInterpolation", "SectionProxy", "ConverterMapping", "DEFAULTSECT", "MAX_INTERPOLATION_DEPTH", "UNNAMED_SECTION", ) elif sys.version_info >= (3, 13): __all__ = ( "NoSectionError", "DuplicateOptionError", "DuplicateSectionError", "NoOptionError", "InterpolationError", "InterpolationDepthError", "InterpolationMissingOptionError", "InterpolationSyntaxError", "ParsingError", "MissingSectionHeaderError", "ConfigParser", "RawConfigParser", "Interpolation", "BasicInterpolation", "ExtendedInterpolation", "SectionProxy", "ConverterMapping", "DEFAULTSECT", "MAX_INTERPOLATION_DEPTH", "UNNAMED_SECTION", "MultilineContinuationError", ) elif sys.version_info >= (3, 12): __all__ = ( "NoSectionError", "DuplicateOptionError", "DuplicateSectionError", "NoOptionError", "InterpolationError", "InterpolationDepthError", "InterpolationMissingOptionError", "InterpolationSyntaxError", "ParsingError", "MissingSectionHeaderError", "ConfigParser", "RawConfigParser", "Interpolation", "BasicInterpolation", "ExtendedInterpolation", "LegacyInterpolation", "SectionProxy", "ConverterMapping", "DEFAULTSECT", "MAX_INTERPOLATION_DEPTH", ) else: __all__ = [ "NoSectionError", "DuplicateOptionError", "DuplicateSectionError", "NoOptionError", "InterpolationError", "InterpolationDepthError", "InterpolationMissingOptionError", "InterpolationSyntaxError", "ParsingError", "MissingSectionHeaderError", "ConfigParser", "SafeConfigParser", "RawConfigParser", "Interpolation", "BasicInterpolation", "ExtendedInterpolation", "LegacyInterpolation", "SectionProxy", "ConverterMapping", "DEFAULTSECT", "MAX_INTERPOLATION_DEPTH", ] if sys.version_info >= (3, 13): @type_check_only class _UNNAMED_SECTION: ... UNNAMED_SECTION: _UNNAMED_SECTION _SectionName: TypeAlias = str | _UNNAMED_SECTION # A list of sections can only include an unnamed section if the parser was initialized with # allow_unnamed_section=True. Any prevents users from having to use explicit # type checks if allow_unnamed_section is False (the default). _SectionNameList: TypeAlias = list[Any] else: _SectionName: TypeAlias = str _SectionNameList: TypeAlias = list[str] _Section: TypeAlias = Mapping[str, str] _Parser: TypeAlias = MutableMapping[str, _Section] _ConverterCallback: TypeAlias = Callable[[str], Any] _ConvertersMap: TypeAlias = dict[str, _ConverterCallback] _T = TypeVar("_T") DEFAULTSECT: Final = "DEFAULT" MAX_INTERPOLATION_DEPTH: Final = 10 class Interpolation: def before_get(self, parser: _Parser, section: _SectionName, option: str, value: str, defaults: _Section) -> str: ... def before_set(self, parser: _Parser, section: _SectionName, option: str, value: str) -> str: ... def before_read(self, parser: _Parser, section: _SectionName, option: str, value: str) -> str: ... def before_write(self, parser: _Parser, section: _SectionName, option: str, value: str) -> str: ... class BasicInterpolation(Interpolation): ... class ExtendedInterpolation(Interpolation): ... if sys.version_info < (3, 13): @deprecated( "Deprecated since Python 3.2; removed in Python 3.13. Use `BasicInterpolation` or `ExtendedInterpolation` instead." ) class LegacyInterpolation(Interpolation): def before_get(self, parser: _Parser, section: _SectionName, option: str, value: str, vars: _Section) -> str: ... class RawConfigParser(_Parser): _SECT_TMPL: ClassVar[str] # undocumented _OPT_TMPL: ClassVar[str] # undocumented _OPT_NV_TMPL: ClassVar[str] # undocumented SECTCRE: Pattern[str] OPTCRE: ClassVar[Pattern[str]] OPTCRE_NV: ClassVar[Pattern[str]] # undocumented NONSPACECRE: ClassVar[Pattern[str]] # undocumented BOOLEAN_STATES: ClassVar[Mapping[str, bool]] # undocumented default_section: str if sys.version_info >= (3, 13): @overload def __init__( self, defaults: Mapping[str, str | None] | None = None, dict_type: type[Mapping[str, str]] = ..., *, allow_no_value: Literal[True], delimiters: Sequence[str] = ("=", ":"), comment_prefixes: Sequence[str] = ("#", ";"), inline_comment_prefixes: Sequence[str] | None = None, strict: bool = True, empty_lines_in_values: bool = True, default_section: str = "DEFAULT", interpolation: Interpolation | None = ..., converters: _ConvertersMap = ..., allow_unnamed_section: bool = False, ) -> None: ... @overload def __init__( self, defaults: Mapping[str, str | None] | None, dict_type: type[Mapping[str, str]], allow_no_value: Literal[True], *, delimiters: Sequence[str] = ("=", ":"), comment_prefixes: Sequence[str] = ("#", ";"), inline_comment_prefixes: Sequence[str] | None = None, strict: bool = True, empty_lines_in_values: bool = True, default_section: str = "DEFAULT", interpolation: Interpolation | None = ..., converters: _ConvertersMap = ..., allow_unnamed_section: bool = False, ) -> None: ... @overload def __init__( self, defaults: _Section | None = None, dict_type: type[Mapping[str, str]] = ..., allow_no_value: bool = False, *, delimiters: Sequence[str] = ("=", ":"), comment_prefixes: Sequence[str] = ("#", ";"), inline_comment_prefixes: Sequence[str] | None = None, strict: bool = True, empty_lines_in_values: bool = True, default_section: str = "DEFAULT", interpolation: Interpolation | None = ..., converters: _ConvertersMap = ..., allow_unnamed_section: bool = False, ) -> None: ... else: @overload def __init__( self, defaults: Mapping[str, str | None] | None = None, dict_type: type[Mapping[str, str]] = ..., *, allow_no_value: Literal[True], delimiters: Sequence[str] = ("=", ":"), comment_prefixes: Sequence[str] = ("#", ";"), inline_comment_prefixes: Sequence[str] | None = None, strict: bool = True, empty_lines_in_values: bool = True, default_section: str = "DEFAULT", interpolation: Interpolation | None = ..., converters: _ConvertersMap = ..., ) -> None: ... @overload def __init__( self, defaults: Mapping[str, str | None] | None, dict_type: type[Mapping[str, str]], allow_no_value: Literal[True], *, delimiters: Sequence[str] = ("=", ":"), comment_prefixes: Sequence[str] = ("#", ";"), inline_comment_prefixes: Sequence[str] | None = None, strict: bool = True, empty_lines_in_values: bool = True, default_section: str = "DEFAULT", interpolation: Interpolation | None = ..., converters: _ConvertersMap = ..., ) -> None: ... @overload def __init__( self, defaults: _Section | None = None, dict_type: type[Mapping[str, str]] = ..., allow_no_value: bool = False, *, delimiters: Sequence[str] = ("=", ":"), comment_prefixes: Sequence[str] = ("#", ";"), inline_comment_prefixes: Sequence[str] | None = None, strict: bool = True, empty_lines_in_values: bool = True, default_section: str = "DEFAULT", interpolation: Interpolation | None = ..., converters: _ConvertersMap = ..., ) -> None: ... def __len__(self) -> int: ... def __getitem__(self, key: _SectionName) -> SectionProxy: ... def __setitem__(self, key: _SectionName, value: _Section) -> None: ... def __delitem__(self, key: _SectionName) -> None: ... def __iter__(self) -> Iterator[str]: ... def __contains__(self, key: object) -> bool: ... def defaults(self) -> _Section: ... def sections(self) -> _SectionNameList: ... def add_section(self, section: _SectionName) -> None: ... def has_section(self, section: _SectionName) -> bool: ... def options(self, section: _SectionName) -> list[str]: ... def has_option(self, section: _SectionName, option: str) -> bool: ... def read(self, filenames: StrOrBytesPath | Iterable[StrOrBytesPath], encoding: str | None = None) -> list[str]: ... def read_file(self, f: Iterable[str], source: str | None = None) -> None: ... def read_string(self, string: str, source: str = "") -> None: ... def read_dict(self, dictionary: Mapping[str, Mapping[str, Any]], source: str = "") -> None: ... if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.2; removed in Python 3.12. Use `parser.read_file()` instead.") def readfp(self, fp: Iterable[str], filename: str | None = None) -> None: ... # These get* methods are partially applied (with the same names) in # SectionProxy; the stubs should be kept updated together @overload def getint(self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None) -> int: ... @overload def getint( self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None, fallback: _T = ... ) -> int | _T: ... @overload def getfloat(self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None) -> float: ... @overload def getfloat( self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None, fallback: _T = ... ) -> float | _T: ... @overload def getboolean(self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None) -> bool: ... @overload def getboolean( self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None, fallback: _T = ... ) -> bool | _T: ... def _get_conv( self, section: _SectionName, option: str, conv: Callable[[str], _T], *, raw: bool = False, vars: _Section | None = None, fallback: _T = ..., ) -> _T: ... # This is incompatible with MutableMapping so we ignore the type @overload # type: ignore[override] def get(self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None) -> str | MaybeNone: ... @overload def get( self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None, fallback: _T ) -> str | _T | MaybeNone: ... @overload def items(self, *, raw: bool = False, vars: _Section | None = None) -> ItemsView[str, SectionProxy]: ... @overload def items(self, section: _SectionName, raw: bool = False, vars: _Section | None = None) -> list[tuple[str, str]]: ... def set(self, section: _SectionName, option: str, value: str | None = None) -> None: ... def write(self, fp: SupportsWrite[str], space_around_delimiters: bool = True) -> None: ... def remove_option(self, section: _SectionName, option: str) -> bool: ... def remove_section(self, section: _SectionName) -> bool: ... def optionxform(self, optionstr: str) -> str: ... @property def converters(self) -> ConverterMapping: ... class ConfigParser(RawConfigParser): # This is incompatible with MutableMapping so we ignore the type @overload # type: ignore[override] def get(self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None) -> str: ... @overload def get( self, section: _SectionName, option: str, *, raw: bool = False, vars: _Section | None = None, fallback: _T ) -> str | _T: ... if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.2; removed in Python 3.12. Use `ConfigParser` instead.") class SafeConfigParser(ConfigParser): ... class SectionProxy(MutableMapping[str, str]): def __init__(self, parser: RawConfigParser, name: str) -> None: ... def __getitem__(self, key: str) -> str: ... def __setitem__(self, key: str, value: str) -> None: ... def __delitem__(self, key: str) -> None: ... def __contains__(self, key: object) -> bool: ... def __len__(self) -> int: ... def __iter__(self) -> Iterator[str]: ... @property def parser(self) -> RawConfigParser: ... @property def name(self) -> str: ... # This is incompatible with MutableMapping so we ignore the type @overload # type: ignore[override] def get( self, option: str, fallback: None = None, *, raw: bool = False, vars: _Section | None = None, _impl: Any | None = None, **kwargs: Any, # passed to the underlying parser's get() method ) -> str | None: ... @overload def get( self, option: str, fallback: _T, *, raw: bool = False, vars: _Section | None = None, _impl: Any | None = None, **kwargs: Any, # passed to the underlying parser's get() method ) -> str | _T: ... # These are partially-applied version of the methods with the same names in # RawConfigParser; the stubs should be kept updated together @overload def getint(self, option: str, *, raw: bool = False, vars: _Section | None = None) -> int | None: ... @overload def getint(self, option: str, fallback: _T = ..., *, raw: bool = False, vars: _Section | None = None) -> int | _T: ... @overload def getfloat(self, option: str, *, raw: bool = False, vars: _Section | None = None) -> float | None: ... @overload def getfloat(self, option: str, fallback: _T = ..., *, raw: bool = False, vars: _Section | None = None) -> float | _T: ... @overload def getboolean(self, option: str, *, raw: bool = False, vars: _Section | None = None) -> bool | None: ... @overload def getboolean(self, option: str, fallback: _T = ..., *, raw: bool = False, vars: _Section | None = None) -> bool | _T: ... # SectionProxy can have arbitrary attributes when custom converters are used def __getattr__(self, key: str) -> Callable[..., Any]: ... class ConverterMapping(MutableMapping[str, _ConverterCallback | None]): GETTERCRE: ClassVar[Pattern[Any]] def __init__(self, parser: RawConfigParser) -> None: ... def __getitem__(self, key: str) -> _ConverterCallback: ... def __setitem__(self, key: str, value: _ConverterCallback | None) -> None: ... def __delitem__(self, key: str) -> None: ... def __iter__(self) -> Iterator[str]: ... def __len__(self) -> int: ... class Error(Exception): message: str def __init__(self, msg: str = "") -> None: ... class NoSectionError(Error): section: _SectionName def __init__(self, section: _SectionName) -> None: ... class DuplicateSectionError(Error): section: _SectionName source: str | None lineno: int | None def __init__(self, section: _SectionName, source: str | None = None, lineno: int | None = None) -> None: ... class DuplicateOptionError(Error): section: _SectionName option: str source: str | None lineno: int | None def __init__(self, section: _SectionName, option: str, source: str | None = None, lineno: int | None = None) -> None: ... class NoOptionError(Error): section: _SectionName option: str def __init__(self, option: str, section: _SectionName) -> None: ... class InterpolationError(Error): section: _SectionName option: str def __init__(self, option: str, section: _SectionName, msg: str) -> None: ... class InterpolationDepthError(InterpolationError): def __init__(self, option: str, section: _SectionName, rawval: object) -> None: ... class InterpolationMissingOptionError(InterpolationError): reference: str def __init__(self, option: str, section: _SectionName, rawval: object, reference: str) -> None: ... class InterpolationSyntaxError(InterpolationError): ... class ParsingError(Error): source: str errors: list[tuple[int, str]] if sys.version_info >= (3, 13): def __init__(self, source: str, *args: object) -> None: ... def combine(self, others: Iterable[ParsingError]) -> ParsingError: ... elif sys.version_info >= (3, 12): def __init__(self, source: str) -> None: ... else: @overload def __init__(self, source: str) -> None: ... @overload @deprecated("The `filename` parameter removed in Python 3.12. Use `source` instead.") def __init__(self, source: None, filename: str | None) -> None: ... @overload @deprecated("The `filename` parameter removed in Python 3.12. Use `source` instead.") def __init__(self, source: None = None, *, filename: str | None) -> None: ... def append(self, lineno: int, line: str) -> None: ... if sys.version_info < (3, 12): @property @deprecated("Deprecated since Python 3.2; removed in Python 3.12. Use `source` instead.") def filename(self) -> str: ... @filename.setter @deprecated("Deprecated since Python 3.2; removed in Python 3.12. Use `source` instead.") def filename(self, value: str) -> None: ... class MissingSectionHeaderError(ParsingError): lineno: int line: str def __init__(self, filename: str, lineno: int, line: str) -> None: ... if sys.version_info >= (3, 13): class MultilineContinuationError(ParsingError): lineno: int line: str def __init__(self, filename: str, lineno: int, line: str) -> None: ... if sys.version_info >= (3, 14): class UnnamedSectionDisabledError(Error): msg: Final = "Support for UNNAMED_SECTION is disabled." def __init__(self) -> None: ... class InvalidWriteError(Error): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/contextlib.pyi0000644000175100017510000002255115112307767021266 0ustar00runnerrunnerimport abc import sys from _typeshed import FileDescriptorOrPath, Unused from abc import ABC, abstractmethod from collections.abc import AsyncGenerator, AsyncIterator, Awaitable, Callable, Generator, Iterator from types import TracebackType from typing import Any, Generic, Protocol, TypeVar, overload, runtime_checkable, type_check_only from typing_extensions import ParamSpec, Self, TypeAlias __all__ = [ "contextmanager", "closing", "AbstractContextManager", "ContextDecorator", "ExitStack", "redirect_stdout", "redirect_stderr", "suppress", "AbstractAsyncContextManager", "AsyncExitStack", "asynccontextmanager", "nullcontext", ] if sys.version_info >= (3, 10): __all__ += ["aclosing"] if sys.version_info >= (3, 11): __all__ += ["chdir"] _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _ExitT_co = TypeVar("_ExitT_co", covariant=True, bound=bool | None, default=bool | None) _F = TypeVar("_F", bound=Callable[..., Any]) _G_co = TypeVar("_G_co", bound=Generator[Any, Any, Any] | AsyncGenerator[Any, Any], covariant=True) _P = ParamSpec("_P") _SendT_contra = TypeVar("_SendT_contra", contravariant=True, default=None) _ReturnT_co = TypeVar("_ReturnT_co", covariant=True, default=None) _ExitFunc: TypeAlias = Callable[[type[BaseException] | None, BaseException | None, TracebackType | None], bool | None] _CM_EF = TypeVar("_CM_EF", bound=AbstractContextManager[Any, Any] | _ExitFunc) # mypy and pyright object to this being both ABC and Protocol. # At runtime it inherits from ABC and is not a Protocol, but it is on the # allowlist for use as a Protocol. @runtime_checkable class AbstractContextManager(ABC, Protocol[_T_co, _ExitT_co]): # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] __slots__ = () def __enter__(self) -> _T_co: ... @abstractmethod def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None, / ) -> _ExitT_co: ... # mypy and pyright object to this being both ABC and Protocol. # At runtime it inherits from ABC and is not a Protocol, but it is on the # allowlist for use as a Protocol. @runtime_checkable class AbstractAsyncContextManager(ABC, Protocol[_T_co, _ExitT_co]): # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] __slots__ = () async def __aenter__(self) -> _T_co: ... @abstractmethod async def __aexit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None, / ) -> _ExitT_co: ... class ContextDecorator: def _recreate_cm(self) -> Self: ... def __call__(self, func: _F) -> _F: ... class _GeneratorContextManagerBase(Generic[_G_co]): # Ideally this would use ParamSpec, but that requires (*args, **kwargs), which this isn't. see #6676 def __init__(self, func: Callable[..., _G_co], args: tuple[Any, ...], kwds: dict[str, Any]) -> None: ... gen: _G_co func: Callable[..., _G_co] args: tuple[Any, ...] kwds: dict[str, Any] class _GeneratorContextManager( _GeneratorContextManagerBase[Generator[_T_co, _SendT_contra, _ReturnT_co]], AbstractContextManager[_T_co, bool | None], ContextDecorator, ): def __exit__( self, typ: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> bool | None: ... def contextmanager(func: Callable[_P, Iterator[_T_co]]) -> Callable[_P, _GeneratorContextManager[_T_co]]: ... if sys.version_info >= (3, 10): _AF = TypeVar("_AF", bound=Callable[..., Awaitable[Any]]) class AsyncContextDecorator: def _recreate_cm(self) -> Self: ... def __call__(self, func: _AF) -> _AF: ... class _AsyncGeneratorContextManager( _GeneratorContextManagerBase[AsyncGenerator[_T_co, _SendT_contra]], AbstractAsyncContextManager[_T_co, bool | None], AsyncContextDecorator, ): async def __aexit__( self, typ: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> bool | None: ... else: class _AsyncGeneratorContextManager( _GeneratorContextManagerBase[AsyncGenerator[_T_co, _SendT_contra]], AbstractAsyncContextManager[_T_co, bool | None] ): async def __aexit__( self, typ: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> bool | None: ... def asynccontextmanager(func: Callable[_P, AsyncIterator[_T_co]]) -> Callable[_P, _AsyncGeneratorContextManager[_T_co]]: ... @type_check_only class _SupportsClose(Protocol): def close(self) -> object: ... _SupportsCloseT = TypeVar("_SupportsCloseT", bound=_SupportsClose) class closing(AbstractContextManager[_SupportsCloseT, None]): def __init__(self, thing: _SupportsCloseT) -> None: ... def __exit__(self, *exc_info: Unused) -> None: ... if sys.version_info >= (3, 10): @type_check_only class _SupportsAclose(Protocol): def aclose(self) -> Awaitable[object]: ... _SupportsAcloseT = TypeVar("_SupportsAcloseT", bound=_SupportsAclose) class aclosing(AbstractAsyncContextManager[_SupportsAcloseT, None]): def __init__(self, thing: _SupportsAcloseT) -> None: ... async def __aexit__(self, *exc_info: Unused) -> None: ... class suppress(AbstractContextManager[None, bool]): def __init__(self, *exceptions: type[BaseException]) -> None: ... def __exit__( self, exctype: type[BaseException] | None, excinst: BaseException | None, exctb: TracebackType | None ) -> bool: ... # This is trying to describe what is needed for (most?) uses # of `redirect_stdout` and `redirect_stderr`. # https://github.com/python/typeshed/issues/14903 @type_check_only class _SupportsRedirect(Protocol): def write(self, s: str, /) -> int: ... def flush(self) -> None: ... _SupportsRedirectT = TypeVar("_SupportsRedirectT", bound=_SupportsRedirect | None) class _RedirectStream(AbstractContextManager[_SupportsRedirectT, None]): def __init__(self, new_target: _SupportsRedirectT) -> None: ... def __exit__( self, exctype: type[BaseException] | None, excinst: BaseException | None, exctb: TracebackType | None ) -> None: ... class redirect_stdout(_RedirectStream[_SupportsRedirectT]): ... class redirect_stderr(_RedirectStream[_SupportsRedirectT]): ... class _BaseExitStack(Generic[_ExitT_co]): def enter_context(self, cm: AbstractContextManager[_T, _ExitT_co]) -> _T: ... def push(self, exit: _CM_EF) -> _CM_EF: ... def callback(self, callback: Callable[_P, _T], /, *args: _P.args, **kwds: _P.kwargs) -> Callable[_P, _T]: ... def pop_all(self) -> Self: ... # In reality this is a subclass of `AbstractContextManager`; # see #7961 for why we don't do that in the stub class ExitStack(_BaseExitStack[_ExitT_co], metaclass=abc.ABCMeta): def close(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None, / ) -> _ExitT_co: ... _ExitCoroFunc: TypeAlias = Callable[ [type[BaseException] | None, BaseException | None, TracebackType | None], Awaitable[bool | None] ] _ACM_EF = TypeVar("_ACM_EF", bound=AbstractAsyncContextManager[Any, Any] | _ExitCoroFunc) # In reality this is a subclass of `AbstractAsyncContextManager`; # see #7961 for why we don't do that in the stub class AsyncExitStack(_BaseExitStack[_ExitT_co], metaclass=abc.ABCMeta): async def enter_async_context(self, cm: AbstractAsyncContextManager[_T, _ExitT_co]) -> _T: ... def push_async_exit(self, exit: _ACM_EF) -> _ACM_EF: ... def push_async_callback( self, callback: Callable[_P, Awaitable[_T]], /, *args: _P.args, **kwds: _P.kwargs ) -> Callable[_P, Awaitable[_T]]: ... async def aclose(self) -> None: ... async def __aenter__(self) -> Self: ... async def __aexit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None, / ) -> _ExitT_co: ... if sys.version_info >= (3, 10): class nullcontext(AbstractContextManager[_T, None], AbstractAsyncContextManager[_T, None]): enter_result: _T @overload def __init__(self: nullcontext[None], enter_result: None = None) -> None: ... @overload def __init__(self: nullcontext[_T], enter_result: _T) -> None: ... # pyright: ignore[reportInvalidTypeVarUse] #11780 def __enter__(self) -> _T: ... def __exit__(self, *exctype: Unused) -> None: ... async def __aenter__(self) -> _T: ... async def __aexit__(self, *exctype: Unused) -> None: ... else: class nullcontext(AbstractContextManager[_T, None]): enter_result: _T @overload def __init__(self: nullcontext[None], enter_result: None = None) -> None: ... @overload def __init__(self: nullcontext[_T], enter_result: _T) -> None: ... # pyright: ignore[reportInvalidTypeVarUse] #11780 def __enter__(self) -> _T: ... def __exit__(self, *exctype: Unused) -> None: ... if sys.version_info >= (3, 11): _T_fd_or_any_path = TypeVar("_T_fd_or_any_path", bound=FileDescriptorOrPath) class chdir(AbstractContextManager[None, None], Generic[_T_fd_or_any_path]): path: _T_fd_or_any_path def __init__(self, path: _T_fd_or_any_path) -> None: ... def __enter__(self) -> None: ... def __exit__(self, *excinfo: Unused) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/contextvars.pyi0000644000175100017510000000026215112307767021466 0ustar00runnerrunnerfrom _contextvars import Context as Context, ContextVar as ContextVar, Token as Token, copy_context as copy_context __all__ = ("Context", "ContextVar", "Token", "copy_context") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/copy.pyi0000644000175100017510000000153015112307767020057 0ustar00runnerrunnerimport sys from typing import Any, Protocol, TypeVar, type_check_only __all__ = ["Error", "copy", "deepcopy"] _T = TypeVar("_T") _RT_co = TypeVar("_RT_co", covariant=True) @type_check_only class _SupportsReplace(Protocol[_RT_co]): # In reality doesn't support args, but there's no great way to express this. def __replace__(self, /, *_: Any, **changes: Any) -> _RT_co: ... # None in CPython but non-None in Jython PyStringMap: Any # Note: memo and _nil are internal kwargs. def deepcopy(x: _T, memo: dict[int, Any] | None = None, _nil: Any = []) -> _T: ... def copy(x: _T) -> _T: ... if sys.version_info >= (3, 13): __all__ += ["replace"] # The types accepted by `**changes` match those of `obj.__replace__`. def replace(obj: _SupportsReplace[_RT_co], /, **changes: Any) -> _RT_co: ... class Error(Exception): ... error = Error ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/copyreg.pyi0000644000175100017510000000172715112307767020565 0ustar00runnerrunnerfrom collections.abc import Callable, Hashable from typing import Any, SupportsInt, TypeVar from typing_extensions import TypeAlias _T = TypeVar("_T") _Reduce: TypeAlias = tuple[Callable[..., _T], tuple[Any, ...]] | tuple[Callable[..., _T], tuple[Any, ...], Any | None] __all__ = ["pickle", "constructor", "add_extension", "remove_extension", "clear_extension_cache"] def pickle( ob_type: type[_T], pickle_function: Callable[[_T], str | _Reduce[_T]], constructor_ob: Callable[[_Reduce[_T]], _T] | None = None, ) -> None: ... def constructor(object: Callable[[_Reduce[_T]], _T]) -> None: ... def add_extension(module: Hashable, name: Hashable, code: SupportsInt) -> None: ... def remove_extension(module: Hashable, name: Hashable, code: int) -> None: ... def clear_extension_cache() -> None: ... _DispatchTableType: TypeAlias = dict[type, Callable[[Any], str | _Reduce[Any]]] # imported by multiprocessing.reduction dispatch_table: _DispatchTableType # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/crypt.pyi0000644000175100017510000000143015112307767020245 0ustar00runnerrunnerimport sys from typing import Final, NamedTuple, type_check_only from typing_extensions import disjoint_base if sys.platform != "win32": @type_check_only class _MethodBase(NamedTuple): name: str ident: str | None salt_chars: int total_size: int if sys.version_info >= (3, 12): class _Method(_MethodBase): ... else: @disjoint_base class _Method(_MethodBase): ... METHOD_CRYPT: Final[_Method] METHOD_MD5: Final[_Method] METHOD_SHA256: Final[_Method] METHOD_SHA512: Final[_Method] METHOD_BLOWFISH: Final[_Method] methods: list[_Method] def mksalt(method: _Method | None = None, *, rounds: int | None = None) -> str: ... def crypt(word: str, salt: str | _Method | None = None) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/csv.pyi0000644000175100017510000001066715112307767017713 0ustar00runnerrunnerimport sys from _csv import ( QUOTE_ALL as QUOTE_ALL, QUOTE_MINIMAL as QUOTE_MINIMAL, QUOTE_NONE as QUOTE_NONE, QUOTE_NONNUMERIC as QUOTE_NONNUMERIC, Error as Error, __version__ as __version__, _DialectLike, _QuotingType, field_size_limit as field_size_limit, get_dialect as get_dialect, list_dialects as list_dialects, reader as reader, register_dialect as register_dialect, unregister_dialect as unregister_dialect, writer as writer, ) if sys.version_info >= (3, 12): from _csv import QUOTE_NOTNULL as QUOTE_NOTNULL, QUOTE_STRINGS as QUOTE_STRINGS if sys.version_info >= (3, 10): from _csv import Reader, Writer else: from _csv import _reader as Reader, _writer as Writer from _typeshed import SupportsWrite from collections.abc import Collection, Iterable, Iterator, Mapping, Sequence from types import GenericAlias from typing import Any, Generic, Literal, TypeVar, overload from typing_extensions import Self __all__ = [ "QUOTE_MINIMAL", "QUOTE_ALL", "QUOTE_NONNUMERIC", "QUOTE_NONE", "Error", "Dialect", "excel", "excel_tab", "field_size_limit", "reader", "writer", "register_dialect", "get_dialect", "list_dialects", "Sniffer", "unregister_dialect", "DictReader", "DictWriter", "unix_dialect", ] if sys.version_info >= (3, 12): __all__ += ["QUOTE_STRINGS", "QUOTE_NOTNULL"] if sys.version_info < (3, 13): __all__ += ["__doc__", "__version__"] _T = TypeVar("_T") class Dialect: delimiter: str quotechar: str | None escapechar: str | None doublequote: bool skipinitialspace: bool lineterminator: str quoting: _QuotingType strict: bool def __init__(self) -> None: ... class excel(Dialect): ... class excel_tab(excel): ... class unix_dialect(Dialect): ... class DictReader(Iterator[dict[_T | Any, str | Any]], Generic[_T]): fieldnames: Sequence[_T] | None restkey: _T | None restval: str | Any | None reader: Reader dialect: _DialectLike line_num: int @overload def __init__( self, f: Iterable[str], fieldnames: Sequence[_T], restkey: _T | None = None, restval: str | Any | None = None, dialect: _DialectLike = "excel", *, delimiter: str = ",", quotechar: str | None = '"', escapechar: str | None = None, doublequote: bool = True, skipinitialspace: bool = False, lineterminator: str = "\r\n", quoting: _QuotingType = 0, strict: bool = False, ) -> None: ... @overload def __init__( self: DictReader[str], f: Iterable[str], fieldnames: Sequence[str] | None = None, restkey: str | None = None, restval: str | None = None, dialect: _DialectLike = "excel", *, delimiter: str = ",", quotechar: str | None = '"', escapechar: str | None = None, doublequote: bool = True, skipinitialspace: bool = False, lineterminator: str = "\r\n", quoting: _QuotingType = 0, strict: bool = False, ) -> None: ... def __iter__(self) -> Self: ... def __next__(self) -> dict[_T | Any, str | Any]: ... if sys.version_info >= (3, 12): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class DictWriter(Generic[_T]): fieldnames: Collection[_T] restval: Any | None extrasaction: Literal["raise", "ignore"] writer: Writer def __init__( self, f: SupportsWrite[str], fieldnames: Collection[_T], restval: Any | None = "", extrasaction: Literal["raise", "ignore"] = "raise", dialect: _DialectLike = "excel", *, delimiter: str = ",", quotechar: str | None = '"', escapechar: str | None = None, doublequote: bool = True, skipinitialspace: bool = False, lineterminator: str = "\r\n", quoting: _QuotingType = 0, strict: bool = False, ) -> None: ... def writeheader(self) -> Any: ... def writerow(self, rowdict: Mapping[_T, Any]) -> Any: ... def writerows(self, rowdicts: Iterable[Mapping[_T, Any]]) -> None: ... if sys.version_info >= (3, 12): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class Sniffer: preferred: list[str] def sniff(self, sample: str, delimiters: str | None = None) -> type[Dialect]: ... def has_header(self, sample: str) -> bool: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.545765 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/0000755000175100017510000000000015112310012017643 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/__init__.pyi0000644000175100017510000002624715112307767022167 0ustar00runnerrunnerimport sys from _ctypes import ( RTLD_GLOBAL as RTLD_GLOBAL, RTLD_LOCAL as RTLD_LOCAL, Array as Array, CFuncPtr as _CFuncPtr, Structure as Structure, Union as Union, _CanCastTo as _CanCastTo, _CArgObject as _CArgObject, _CData as _CData, _CDataType as _CDataType, _CField as _CField, _CTypeBaseType, _Pointer as _Pointer, _PointerLike as _PointerLike, _SimpleCData as _SimpleCData, addressof as addressof, alignment as alignment, byref as byref, get_errno as get_errno, resize as resize, set_errno as set_errno, sizeof as sizeof, ) from _typeshed import StrPath, SupportsBool, SupportsLen from ctypes._endian import BigEndianStructure as BigEndianStructure, LittleEndianStructure as LittleEndianStructure from types import GenericAlias from typing import Any, ClassVar, Final, Generic, Literal, TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias, deprecated if sys.platform == "win32": from _ctypes import FormatError as FormatError, get_last_error as get_last_error, set_last_error as set_last_error if sys.version_info >= (3, 14): from _ctypes import COMError as COMError, CopyComPointer as CopyComPointer if sys.version_info >= (3, 11): from ctypes._endian import BigEndianUnion as BigEndianUnion, LittleEndianUnion as LittleEndianUnion _CT = TypeVar("_CT", bound=_CData) _T = TypeVar("_T", default=Any) _DLLT = TypeVar("_DLLT", bound=CDLL) if sys.version_info >= (3, 14): @overload @deprecated("ctypes.POINTER with string") def POINTER(cls: str) -> type[Any]: ... @overload def POINTER(cls: None) -> type[c_void_p]: ... @overload def POINTER(cls: type[_CT]) -> type[_Pointer[_CT]]: ... def pointer(obj: _CT) -> _Pointer[_CT]: ... else: from _ctypes import POINTER as POINTER, pointer as pointer DEFAULT_MODE: Final[int] class ArgumentError(Exception): ... # defined within CDLL.__init__ # Runtime name is ctypes.CDLL.__init__.._FuncPtr @type_check_only class _CDLLFuncPointer(_CFuncPtr): _flags_: ClassVar[int] _restype_: ClassVar[type[_CDataType]] # Not a real class; _CDLLFuncPointer with a __name__ set on it. @type_check_only class _NamedFuncPointer(_CDLLFuncPointer): __name__: str if sys.version_info >= (3, 12): _NameTypes: TypeAlias = StrPath | None else: _NameTypes: TypeAlias = str | None class CDLL: _func_flags_: ClassVar[int] _func_restype_: ClassVar[type[_CDataType]] _name: str _handle: int _FuncPtr: type[_CDLLFuncPointer] def __init__( self, name: _NameTypes, mode: int = ..., handle: int | None = None, use_errno: bool = False, use_last_error: bool = False, winmode: int | None = None, ) -> None: ... def __getattr__(self, name: str) -> _NamedFuncPointer: ... def __getitem__(self, name_or_ordinal: str) -> _NamedFuncPointer: ... if sys.platform == "win32": class OleDLL(CDLL): ... class WinDLL(CDLL): ... class PyDLL(CDLL): ... class LibraryLoader(Generic[_DLLT]): def __init__(self, dlltype: type[_DLLT]) -> None: ... def __getattr__(self, name: str) -> _DLLT: ... def __getitem__(self, name: str) -> _DLLT: ... def LoadLibrary(self, name: str) -> _DLLT: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... cdll: LibraryLoader[CDLL] if sys.platform == "win32": windll: LibraryLoader[WinDLL] oledll: LibraryLoader[OleDLL] pydll: LibraryLoader[PyDLL] pythonapi: PyDLL # Class definition within CFUNCTYPE / WINFUNCTYPE / PYFUNCTYPE # Names at runtime are # ctypes.CFUNCTYPE..CFunctionType # ctypes.WINFUNCTYPE..WinFunctionType # ctypes.PYFUNCTYPE..CFunctionType @type_check_only class _CFunctionType(_CFuncPtr): _argtypes_: ClassVar[list[type[_CData | _CDataType]]] _restype_: ClassVar[type[_CData | _CDataType] | None] _flags_: ClassVar[int] # Alias for either function pointer type _FuncPointer: TypeAlias = _CDLLFuncPointer | _CFunctionType # noqa: Y047 # not used here def CFUNCTYPE( restype: type[_CData | _CDataType] | None, *argtypes: type[_CData | _CDataType], use_errno: bool = False, use_last_error: bool = False, ) -> type[_CFunctionType]: ... if sys.platform == "win32": def WINFUNCTYPE( restype: type[_CData | _CDataType] | None, *argtypes: type[_CData | _CDataType], use_errno: bool = False, use_last_error: bool = False, ) -> type[_CFunctionType]: ... def PYFUNCTYPE(restype: type[_CData | _CDataType] | None, *argtypes: type[_CData | _CDataType]) -> type[_CFunctionType]: ... # Any type that can be implicitly converted to c_void_p when passed as a C function argument. # (bytes is not included here, see below.) _CVoidPLike: TypeAlias = _PointerLike | Array[Any] | _CArgObject | int # Same as above, but including types known to be read-only (i. e. bytes). # This distinction is not strictly necessary (ctypes doesn't differentiate between const # and non-const pointers), but it catches errors like memmove(b'foo', buf, 4) # when memmove(buf, b'foo', 4) was intended. _CVoidConstPLike: TypeAlias = _CVoidPLike | bytes _CastT = TypeVar("_CastT", bound=_CanCastTo) def cast(obj: _CData | _CDataType | _CArgObject | int, typ: type[_CastT]) -> _CastT: ... def create_string_buffer(init: int | bytes, size: int | None = None) -> Array[c_char]: ... c_buffer = create_string_buffer def create_unicode_buffer(init: int | str, size: int | None = None) -> Array[c_wchar]: ... if sys.version_info >= (3, 13): @deprecated("Deprecated since Python 3.13; will be removed in Python 3.15.") def SetPointerType(pointer: type[_Pointer[Any]], cls: _CTypeBaseType) -> None: ... else: def SetPointerType(pointer: type[_Pointer[Any]], cls: _CTypeBaseType) -> None: ... def ARRAY(typ: _CT, len: int) -> Array[_CT]: ... # Soft Deprecated, no plans to remove if sys.platform == "win32": def DllCanUnloadNow() -> int: ... def DllGetClassObject(rclsid: Any, riid: Any, ppv: Any) -> int: ... # TODO: not documented # Actually just an instance of _NamedFuncPointer (aka _CDLLFuncPointer), # but we want to set a more specific __call__ @type_check_only class _GetLastErrorFunctionType(_NamedFuncPointer): def __call__(self) -> int: ... GetLastError: _GetLastErrorFunctionType # Actually just an instance of _CFunctionType, but we want to set a more # specific __call__. @type_check_only class _MemmoveFunctionType(_CFunctionType): def __call__(self, dst: _CVoidPLike, src: _CVoidConstPLike, count: int) -> int: ... memmove: _MemmoveFunctionType # Actually just an instance of _CFunctionType, but we want to set a more # specific __call__. @type_check_only class _MemsetFunctionType(_CFunctionType): def __call__(self, dst: _CVoidPLike, c: int, count: int) -> int: ... memset: _MemsetFunctionType def string_at(ptr: _CVoidConstPLike, size: int = -1) -> bytes: ... if sys.platform == "win32": def WinError(code: int | None = None, descr: str | None = None) -> OSError: ... def wstring_at(ptr: _CVoidConstPLike, size: int = -1) -> str: ... if sys.version_info >= (3, 14): def memoryview_at(ptr: _CVoidConstPLike, size: int, readonly: bool = False) -> memoryview: ... class py_object(_CanCastTo, _SimpleCData[_T]): _type_: ClassVar[Literal["O"]] if sys.version_info >= (3, 14): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class c_bool(_SimpleCData[bool]): _type_: ClassVar[Literal["?"]] def __init__(self, value: SupportsBool | SupportsLen | None = ...) -> None: ... class c_byte(_SimpleCData[int]): _type_: ClassVar[Literal["b"]] class c_ubyte(_SimpleCData[int]): _type_: ClassVar[Literal["B"]] class c_short(_SimpleCData[int]): _type_: ClassVar[Literal["h"]] class c_ushort(_SimpleCData[int]): _type_: ClassVar[Literal["H"]] class c_long(_SimpleCData[int]): _type_: ClassVar[Literal["l"]] class c_ulong(_SimpleCData[int]): _type_: ClassVar[Literal["L"]] class c_int(_SimpleCData[int]): # can be an alias for c_long _type_: ClassVar[Literal["i", "l"]] class c_uint(_SimpleCData[int]): # can be an alias for c_ulong _type_: ClassVar[Literal["I", "L"]] class c_longlong(_SimpleCData[int]): # can be an alias for c_long _type_: ClassVar[Literal["q", "l"]] class c_ulonglong(_SimpleCData[int]): # can be an alias for c_ulong _type_: ClassVar[Literal["Q", "L"]] c_int8 = c_byte c_uint8 = c_ubyte class c_int16(_SimpleCData[int]): # can be an alias for c_short or c_int _type_: ClassVar[Literal["h", "i"]] class c_uint16(_SimpleCData[int]): # can be an alias for c_ushort or c_uint _type_: ClassVar[Literal["H", "I"]] class c_int32(_SimpleCData[int]): # can be an alias for c_int or c_long _type_: ClassVar[Literal["i", "l"]] class c_uint32(_SimpleCData[int]): # can be an alias for c_uint or c_ulong _type_: ClassVar[Literal["I", "L"]] class c_int64(_SimpleCData[int]): # can be an alias for c_long or c_longlong _type_: ClassVar[Literal["l", "q"]] class c_uint64(_SimpleCData[int]): # can be an alias for c_ulong or c_ulonglong _type_: ClassVar[Literal["L", "Q"]] class c_ssize_t(_SimpleCData[int]): # alias for c_int, c_long, or c_longlong _type_: ClassVar[Literal["i", "l", "q"]] class c_size_t(_SimpleCData[int]): # alias for c_uint, c_ulong, or c_ulonglong _type_: ClassVar[Literal["I", "L", "Q"]] class c_float(_SimpleCData[float]): _type_: ClassVar[Literal["f"]] class c_double(_SimpleCData[float]): _type_: ClassVar[Literal["d"]] class c_longdouble(_SimpleCData[float]): # can be an alias for c_double _type_: ClassVar[Literal["d", "g"]] if sys.version_info >= (3, 14) and sys.platform != "win32": class c_double_complex(_SimpleCData[complex]): _type_: ClassVar[Literal["D"]] class c_float_complex(_SimpleCData[complex]): _type_: ClassVar[Literal["F"]] class c_longdouble_complex(_SimpleCData[complex]): _type_: ClassVar[Literal["G"]] class c_char(_SimpleCData[bytes]): _type_: ClassVar[Literal["c"]] def __init__(self, value: int | bytes | bytearray = ...) -> None: ... class c_char_p(_PointerLike, _SimpleCData[bytes | None]): _type_: ClassVar[Literal["z"]] def __init__(self, value: int | bytes | None = ...) -> None: ... @classmethod def from_param(cls, value: Any, /) -> Self | _CArgObject: ... class c_void_p(_PointerLike, _SimpleCData[int | None]): _type_: ClassVar[Literal["P"]] @classmethod def from_param(cls, value: Any, /) -> Self | _CArgObject: ... c_voidp = c_void_p # backwards compatibility (to a bug) class c_wchar(_SimpleCData[str]): _type_: ClassVar[Literal["u"]] class c_wchar_p(_PointerLike, _SimpleCData[str | None]): _type_: ClassVar[Literal["Z"]] def __init__(self, value: int | str | None = ...) -> None: ... @classmethod def from_param(cls, value: Any, /) -> Self | _CArgObject: ... if sys.platform == "win32": class HRESULT(_SimpleCData[int]): # TODO: undocumented _type_: ClassVar[Literal["l"]] if sys.version_info >= (3, 12): # At runtime, this is an alias for either c_int32 or c_int64, # which are themselves an alias for one of c_int, c_long, or c_longlong # This covers all our bases. c_time_t: type[c_int32 | c_int64 | c_int | c_long | c_longlong] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/_endian.pyi0000644000175100017510000000071515112307767022015 0ustar00runnerrunnerimport sys from ctypes import Structure, Union # At runtime, the native endianness is an alias for Structure, # while the other is a subclass with a metaclass added in. class BigEndianStructure(Structure): __slots__ = () class LittleEndianStructure(Structure): ... # Same thing for these: one is an alias of Union at runtime if sys.version_info >= (3, 11): class BigEndianUnion(Union): __slots__ = () class LittleEndianUnion(Union): ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.546765 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/macholib/0000755000175100017510000000000015112310012021421 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/macholib/__init__.pyi0000644000175100017510000000006215112307767023730 0ustar00runnerrunnerfrom typing import Final __version__: Final[str] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/macholib/dyld.pyi0000644000175100017510000000072315112307767023131 0ustar00runnerrunnerfrom collections.abc import Mapping from ctypes.macholib.dylib import dylib_info as dylib_info from ctypes.macholib.framework import framework_info as framework_info __all__ = ["dyld_find", "framework_find", "framework_info", "dylib_info"] def dyld_find(name: str, executable_path: str | None = None, env: Mapping[str, str] | None = None) -> str: ... def framework_find(fn: str, executable_path: str | None = None, env: Mapping[str, str] | None = None) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/macholib/dylib.pyi0000644000175100017510000000050615112307767023277 0ustar00runnerrunnerfrom typing import TypedDict, type_check_only __all__ = ["dylib_info"] # Actual result is produced by re.match.groupdict() @type_check_only class _DylibInfo(TypedDict): location: str name: str shortname: str version: str | None suffix: str | None def dylib_info(filename: str) -> _DylibInfo | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/macholib/framework.pyi0000644000175100017510000000052615112307767024173 0ustar00runnerrunnerfrom typing import TypedDict, type_check_only __all__ = ["framework_info"] # Actual result is produced by re.match.groupdict() @type_check_only class _FrameworkInfo(TypedDict): location: str name: str shortname: str version: str | None suffix: str | None def framework_info(filename: str) -> _FrameworkInfo | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/util.pyi0000644000175100017510000000033615112307767021374 0ustar00runnerrunnerimport sys def find_library(name: str) -> str | None: ... if sys.platform == "win32": def find_msvcrt() -> str | None: ... if sys.version_info >= (3, 14): def dllist() -> list[str]: ... def test() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ctypes/wintypes.pyi0000644000175100017510000001546715112307767022314 0ustar00runnerrunnerimport sys from _ctypes import _CArgObject, _CField from ctypes import ( Array, Structure, _Pointer, _SimpleCData, c_char, c_char_p, c_double, c_float, c_int, c_long, c_longlong, c_short, c_uint, c_ulong, c_ulonglong, c_ushort, c_void_p, c_wchar, c_wchar_p, ) from typing import Any, Final, TypeVar from typing_extensions import Self, TypeAlias if sys.version_info >= (3, 12): from ctypes import c_ubyte BYTE = c_ubyte else: from ctypes import c_byte BYTE = c_byte WORD = c_ushort DWORD = c_ulong CHAR = c_char WCHAR = c_wchar UINT = c_uint INT = c_int DOUBLE = c_double FLOAT = c_float BOOLEAN = BYTE BOOL = c_long class VARIANT_BOOL(_SimpleCData[bool]): ... ULONG = c_ulong LONG = c_long USHORT = c_ushort SHORT = c_short LARGE_INTEGER = c_longlong _LARGE_INTEGER = c_longlong ULARGE_INTEGER = c_ulonglong _ULARGE_INTEGER = c_ulonglong OLESTR = c_wchar_p LPOLESTR = c_wchar_p LPCOLESTR = c_wchar_p LPWSTR = c_wchar_p LPCWSTR = c_wchar_p LPSTR = c_char_p LPCSTR = c_char_p LPVOID = c_void_p LPCVOID = c_void_p # These two types are pointer-sized unsigned and signed ints, respectively. # At runtime, they are either c_[u]long or c_[u]longlong, depending on the host's pointer size # (they are not really separate classes). class WPARAM(_SimpleCData[int]): ... class LPARAM(_SimpleCData[int]): ... ATOM = WORD LANGID = WORD COLORREF = DWORD LGRPID = DWORD LCTYPE = DWORD LCID = DWORD HANDLE = c_void_p HACCEL = HANDLE HBITMAP = HANDLE HBRUSH = HANDLE HCOLORSPACE = HANDLE if sys.version_info >= (3, 14): HCONV = HANDLE HCONVLIST = HANDLE HCURSOR = HANDLE HDDEDATA = HANDLE HDROP = HANDLE HFILE = INT HRESULT = LONG HSZ = HANDLE HDC = HANDLE HDESK = HANDLE HDWP = HANDLE HENHMETAFILE = HANDLE HFONT = HANDLE HGDIOBJ = HANDLE HGLOBAL = HANDLE HHOOK = HANDLE HICON = HANDLE HINSTANCE = HANDLE HKEY = HANDLE HKL = HANDLE HLOCAL = HANDLE HMENU = HANDLE HMETAFILE = HANDLE HMODULE = HANDLE HMONITOR = HANDLE HPALETTE = HANDLE HPEN = HANDLE HRGN = HANDLE HRSRC = HANDLE HSTR = HANDLE HTASK = HANDLE HWINSTA = HANDLE HWND = HANDLE SC_HANDLE = HANDLE SERVICE_STATUS_HANDLE = HANDLE _CIntLikeT = TypeVar("_CIntLikeT", bound=_SimpleCData[int]) _CIntLikeField: TypeAlias = _CField[_CIntLikeT, int, _CIntLikeT | int] class RECT(Structure): left: _CIntLikeField[LONG] top: _CIntLikeField[LONG] right: _CIntLikeField[LONG] bottom: _CIntLikeField[LONG] RECTL = RECT _RECTL = RECT tagRECT = RECT class _SMALL_RECT(Structure): Left: _CIntLikeField[SHORT] Top: _CIntLikeField[SHORT] Right: _CIntLikeField[SHORT] Bottom: _CIntLikeField[SHORT] SMALL_RECT = _SMALL_RECT class _COORD(Structure): X: _CIntLikeField[SHORT] Y: _CIntLikeField[SHORT] class POINT(Structure): x: _CIntLikeField[LONG] y: _CIntLikeField[LONG] POINTL = POINT _POINTL = POINT tagPOINT = POINT class SIZE(Structure): cx: _CIntLikeField[LONG] cy: _CIntLikeField[LONG] SIZEL = SIZE tagSIZE = SIZE def RGB(red: int, green: int, blue: int) -> int: ... class FILETIME(Structure): dwLowDateTime: _CIntLikeField[DWORD] dwHighDateTime: _CIntLikeField[DWORD] _FILETIME = FILETIME class MSG(Structure): hWnd: _CField[HWND, int | None, HWND | int | None] message: _CIntLikeField[UINT] wParam: _CIntLikeField[WPARAM] lParam: _CIntLikeField[LPARAM] time: _CIntLikeField[DWORD] pt: _CField[POINT, POINT, POINT] tagMSG = MSG MAX_PATH: Final = 260 class WIN32_FIND_DATAA(Structure): dwFileAttributes: _CIntLikeField[DWORD] ftCreationTime: _CField[FILETIME, FILETIME, FILETIME] ftLastAccessTime: _CField[FILETIME, FILETIME, FILETIME] ftLastWriteTime: _CField[FILETIME, FILETIME, FILETIME] nFileSizeHigh: _CIntLikeField[DWORD] nFileSizeLow: _CIntLikeField[DWORD] dwReserved0: _CIntLikeField[DWORD] dwReserved1: _CIntLikeField[DWORD] cFileName: _CField[Array[CHAR], bytes, bytes] cAlternateFileName: _CField[Array[CHAR], bytes, bytes] class WIN32_FIND_DATAW(Structure): dwFileAttributes: _CIntLikeField[DWORD] ftCreationTime: _CField[FILETIME, FILETIME, FILETIME] ftLastAccessTime: _CField[FILETIME, FILETIME, FILETIME] ftLastWriteTime: _CField[FILETIME, FILETIME, FILETIME] nFileSizeHigh: _CIntLikeField[DWORD] nFileSizeLow: _CIntLikeField[DWORD] dwReserved0: _CIntLikeField[DWORD] dwReserved1: _CIntLikeField[DWORD] cFileName: _CField[Array[WCHAR], str, str] cAlternateFileName: _CField[Array[WCHAR], str, str] # These are all defined with the POINTER() function, which keeps a cache and will # return a previously created class if it can. The self-reported __name__ # of these classes is f"LP_{typ.__name__}", where typ is the original class # passed in to the POINTER() function. # LP_c_short class PSHORT(_Pointer[SHORT]): ... # LP_c_ushort class PUSHORT(_Pointer[USHORT]): ... PWORD = PUSHORT LPWORD = PUSHORT # LP_c_long class PLONG(_Pointer[LONG]): ... LPLONG = PLONG PBOOL = PLONG LPBOOL = PLONG # LP_c_ulong class PULONG(_Pointer[ULONG]): ... PDWORD = PULONG LPDWORD = PDWORD LPCOLORREF = PDWORD PLCID = PDWORD # LP_c_int (or LP_c_long if int and long have the same size) class PINT(_Pointer[INT]): ... LPINT = PINT # LP_c_uint (or LP_c_ulong if int and long have the same size) class PUINT(_Pointer[UINT]): ... LPUINT = PUINT # LP_c_float class PFLOAT(_Pointer[FLOAT]): ... # LP_c_longlong (or LP_c_long if long and long long have the same size) class PLARGE_INTEGER(_Pointer[LARGE_INTEGER]): ... # LP_c_ulonglong (or LP_c_ulong if long and long long have the same size) class PULARGE_INTEGER(_Pointer[ULARGE_INTEGER]): ... # LP_c_byte types class PBYTE(_Pointer[BYTE]): ... LPBYTE = PBYTE PBOOLEAN = PBYTE # LP_c_char class PCHAR(_Pointer[CHAR]): # this is inherited from ctypes.c_char_p, kind of. @classmethod def from_param(cls, value: Any, /) -> Self | _CArgObject: ... # LP_c_wchar class PWCHAR(_Pointer[WCHAR]): # inherited from ctypes.c_wchar_p, kind of @classmethod def from_param(cls, value: Any, /) -> Self | _CArgObject: ... # LP_c_void_p class PHANDLE(_Pointer[HANDLE]): ... LPHANDLE = PHANDLE PHKEY = PHANDLE LPHKL = PHANDLE LPSC_HANDLE = PHANDLE # LP_FILETIME class PFILETIME(_Pointer[FILETIME]): ... LPFILETIME = PFILETIME # LP_MSG class PMSG(_Pointer[MSG]): ... LPMSG = PMSG # LP_POINT class PPOINT(_Pointer[POINT]): ... LPPOINT = PPOINT PPOINTL = PPOINT # LP_RECT class PRECT(_Pointer[RECT]): ... LPRECT = PRECT PRECTL = PRECT LPRECTL = PRECT # LP_SIZE class PSIZE(_Pointer[SIZE]): ... LPSIZE = PSIZE PSIZEL = PSIZE LPSIZEL = PSIZE # LP__SMALL_RECT class PSMALL_RECT(_Pointer[SMALL_RECT]): ... # LP_WIN32_FIND_DATAA class PWIN32_FIND_DATAA(_Pointer[WIN32_FIND_DATAA]): ... LPWIN32_FIND_DATAA = PWIN32_FIND_DATAA # LP_WIN32_FIND_DATAW class PWIN32_FIND_DATAW(_Pointer[WIN32_FIND_DATAW]): ... LPWIN32_FIND_DATAW = PWIN32_FIND_DATAW ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.547765 mypy-1.19.0/mypy/typeshed/stdlib/curses/0000755000175100017510000000000015112310012017640 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/curses/__init__.pyi0000644000175100017510000000240415112307767022151 0ustar00runnerrunnerimport sys from _curses import * from _curses import window as window from _typeshed import structseq from collections.abc import Callable from typing import Final, TypeVar, final, type_check_only from typing_extensions import Concatenate, ParamSpec # NOTE: The _curses module is ordinarily only available on Unix, but the # windows-curses package makes it available on Windows as well with the same # contents. _T = TypeVar("_T") _P = ParamSpec("_P") # available after calling `curses.initscr()` # not `Final` as it can change during the terminal resize: LINES: int COLS: int # available after calling `curses.start_color()` COLORS: Final[int] COLOR_PAIRS: Final[int] def wrapper(func: Callable[Concatenate[window, _P], _T], /, *arg: _P.args, **kwds: _P.kwargs) -> _T: ... # At runtime this class is unexposed and calls itself curses.ncurses_version. # That name would conflict with the actual curses.ncurses_version, which is # an instance of this class. @final @type_check_only class _ncurses_version(structseq[int], tuple[int, int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ("major", "minor", "patch") @property def major(self) -> int: ... @property def minor(self) -> int: ... @property def patch(self) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/curses/ascii.pyi0000644000175100017510000000267115112307767021510 0ustar00runnerrunnerfrom typing import Final, TypeVar _CharT = TypeVar("_CharT", str, int) NUL: Final = 0x00 SOH: Final = 0x01 STX: Final = 0x02 ETX: Final = 0x03 EOT: Final = 0x04 ENQ: Final = 0x05 ACK: Final = 0x06 BEL: Final = 0x07 BS: Final = 0x08 TAB: Final = 0x09 HT: Final = 0x09 LF: Final = 0x0A NL: Final = 0x0A VT: Final = 0x0B FF: Final = 0x0C CR: Final = 0x0D SO: Final = 0x0E SI: Final = 0x0F DLE: Final = 0x10 DC1: Final = 0x11 DC2: Final = 0x12 DC3: Final = 0x13 DC4: Final = 0x14 NAK: Final = 0x15 SYN: Final = 0x16 ETB: Final = 0x17 CAN: Final = 0x18 EM: Final = 0x19 SUB: Final = 0x1A ESC: Final = 0x1B FS: Final = 0x1C GS: Final = 0x1D RS: Final = 0x1E US: Final = 0x1F SP: Final = 0x20 DEL: Final = 0x7F controlnames: Final[list[int]] def isalnum(c: str | int) -> bool: ... def isalpha(c: str | int) -> bool: ... def isascii(c: str | int) -> bool: ... def isblank(c: str | int) -> bool: ... def iscntrl(c: str | int) -> bool: ... def isdigit(c: str | int) -> bool: ... def isgraph(c: str | int) -> bool: ... def islower(c: str | int) -> bool: ... def isprint(c: str | int) -> bool: ... def ispunct(c: str | int) -> bool: ... def isspace(c: str | int) -> bool: ... def isupper(c: str | int) -> bool: ... def isxdigit(c: str | int) -> bool: ... def isctrl(c: str | int) -> bool: ... def ismeta(c: str | int) -> bool: ... def ascii(c: _CharT) -> _CharT: ... def ctrl(c: _CharT) -> _CharT: ... def alt(c: _CharT) -> _CharT: ... def unctrl(c: str | int) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/curses/has_key.pyi0000644000175100017510000000005015112307767022030 0ustar00runnerrunnerdef has_key(ch: int | str) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/curses/panel.pyi0000644000175100017510000000003415112307767021506 0ustar00runnerrunnerfrom _curses_panel import * ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/curses/textpad.pyi0000644000175100017510000000064615112307767022071 0ustar00runnerrunnerfrom _curses import window from collections.abc import Callable def rectangle(win: window, uly: int, ulx: int, lry: int, lrx: int) -> None: ... class Textbox: stripspaces: bool def __init__(self, win: window, insert_mode: bool = False) -> None: ... def edit(self, validate: Callable[[int], int] | None = None) -> str: ... def do_command(self, ch: str | int) -> None: ... def gather(self) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/dataclasses.pyi0000644000175100017510000003416315112307767021404 0ustar00runnerrunnerimport enum import sys import types from _typeshed import DataclassInstance from builtins import type as Type # alias to avoid name clashes with fields named "type" from collections.abc import Callable, Iterable, Mapping from types import GenericAlias from typing import Any, Final, Generic, Literal, Protocol, TypeVar, overload, type_check_only from typing_extensions import Never, TypeIs _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) __all__ = [ "dataclass", "field", "Field", "FrozenInstanceError", "InitVar", "MISSING", "fields", "asdict", "astuple", "make_dataclass", "replace", "is_dataclass", ] if sys.version_info >= (3, 10): __all__ += ["KW_ONLY"] _DataclassT = TypeVar("_DataclassT", bound=DataclassInstance) @type_check_only class _DataclassFactory(Protocol): def __call__( self, cls: type[_T], /, *, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, weakref_slot: bool = False, ) -> type[_T]: ... # define _MISSING_TYPE as an enum within the type stubs, # even though that is not really its type at runtime # this allows us to use Literal[_MISSING_TYPE.MISSING] # for background, see: # https://github.com/python/typeshed/pull/5900#issuecomment-895513797 class _MISSING_TYPE(enum.Enum): MISSING = enum.auto() MISSING: Final = _MISSING_TYPE.MISSING if sys.version_info >= (3, 10): class KW_ONLY: ... @overload def asdict(obj: DataclassInstance) -> dict[str, Any]: ... @overload def asdict(obj: DataclassInstance, *, dict_factory: Callable[[list[tuple[str, Any]]], _T]) -> _T: ... @overload def astuple(obj: DataclassInstance) -> tuple[Any, ...]: ... @overload def astuple(obj: DataclassInstance, *, tuple_factory: Callable[[list[Any]], _T]) -> _T: ... if sys.version_info >= (3, 11): @overload def dataclass( cls: type[_T], /, *, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, weakref_slot: bool = False, ) -> type[_T]: ... @overload def dataclass( cls: None = None, /, *, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, weakref_slot: bool = False, ) -> Callable[[type[_T]], type[_T]]: ... elif sys.version_info >= (3, 10): @overload def dataclass( cls: type[_T], /, *, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, ) -> type[_T]: ... @overload def dataclass( cls: None = None, /, *, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, ) -> Callable[[type[_T]], type[_T]]: ... else: @overload def dataclass( cls: type[_T], /, *, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, ) -> type[_T]: ... @overload def dataclass( cls: None = None, /, *, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, ) -> Callable[[type[_T]], type[_T]]: ... # See https://github.com/python/mypy/issues/10750 @type_check_only class _DefaultFactory(Protocol[_T_co]): def __call__(self) -> _T_co: ... class Field(Generic[_T]): if sys.version_info >= (3, 14): __slots__ = ( "name", "type", "default", "default_factory", "repr", "hash", "init", "compare", "metadata", "kw_only", "doc", "_field_type", ) elif sys.version_info >= (3, 10): __slots__ = ( "name", "type", "default", "default_factory", "repr", "hash", "init", "compare", "metadata", "kw_only", "_field_type", ) else: __slots__ = ("name", "type", "default", "default_factory", "repr", "hash", "init", "compare", "metadata", "_field_type") name: str type: Type[_T] | str | Any default: _T | Literal[_MISSING_TYPE.MISSING] default_factory: _DefaultFactory[_T] | Literal[_MISSING_TYPE.MISSING] repr: bool hash: bool | None init: bool compare: bool metadata: types.MappingProxyType[Any, Any] if sys.version_info >= (3, 14): doc: str | None if sys.version_info >= (3, 10): kw_only: bool | Literal[_MISSING_TYPE.MISSING] if sys.version_info >= (3, 14): def __init__( self, default: _T, default_factory: Callable[[], _T], init: bool, repr: bool, hash: bool | None, compare: bool, metadata: Mapping[Any, Any], kw_only: bool, doc: str | None, ) -> None: ... elif sys.version_info >= (3, 10): def __init__( self, default: _T, default_factory: Callable[[], _T], init: bool, repr: bool, hash: bool | None, compare: bool, metadata: Mapping[Any, Any], kw_only: bool, ) -> None: ... else: def __init__( self, default: _T, default_factory: Callable[[], _T], init: bool, repr: bool, hash: bool | None, compare: bool, metadata: Mapping[Any, Any], ) -> None: ... def __set_name__(self, owner: Type[Any], name: str) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... # NOTE: Actual return type is 'Field[_T]', but we want to help type checkers # to understand the magic that happens at runtime. if sys.version_info >= (3, 14): @overload # `default` and `default_factory` are optional and mutually exclusive. def field( *, default: _T, default_factory: Literal[_MISSING_TYPE.MISSING] = ..., init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, kw_only: bool | Literal[_MISSING_TYPE.MISSING] = ..., doc: str | None = None, ) -> _T: ... @overload def field( *, default: Literal[_MISSING_TYPE.MISSING] = ..., default_factory: Callable[[], _T], init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, kw_only: bool | Literal[_MISSING_TYPE.MISSING] = ..., doc: str | None = None, ) -> _T: ... @overload def field( *, default: Literal[_MISSING_TYPE.MISSING] = ..., default_factory: Literal[_MISSING_TYPE.MISSING] = ..., init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, kw_only: bool | Literal[_MISSING_TYPE.MISSING] = ..., doc: str | None = None, ) -> Any: ... elif sys.version_info >= (3, 10): @overload # `default` and `default_factory` are optional and mutually exclusive. def field( *, default: _T, default_factory: Literal[_MISSING_TYPE.MISSING] = ..., init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, kw_only: bool | Literal[_MISSING_TYPE.MISSING] = ..., ) -> _T: ... @overload def field( *, default: Literal[_MISSING_TYPE.MISSING] = ..., default_factory: Callable[[], _T], init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, kw_only: bool | Literal[_MISSING_TYPE.MISSING] = ..., ) -> _T: ... @overload def field( *, default: Literal[_MISSING_TYPE.MISSING] = ..., default_factory: Literal[_MISSING_TYPE.MISSING] = ..., init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, kw_only: bool | Literal[_MISSING_TYPE.MISSING] = ..., ) -> Any: ... else: @overload # `default` and `default_factory` are optional and mutually exclusive. def field( *, default: _T, default_factory: Literal[_MISSING_TYPE.MISSING] = ..., init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, ) -> _T: ... @overload def field( *, default: Literal[_MISSING_TYPE.MISSING] = ..., default_factory: Callable[[], _T], init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, ) -> _T: ... @overload def field( *, default: Literal[_MISSING_TYPE.MISSING] = ..., default_factory: Literal[_MISSING_TYPE.MISSING] = ..., init: bool = True, repr: bool = True, hash: bool | None = None, compare: bool = True, metadata: Mapping[Any, Any] | None = None, ) -> Any: ... def fields(class_or_instance: DataclassInstance | type[DataclassInstance]) -> tuple[Field[Any], ...]: ... # HACK: `obj: Never` typing matches if object argument is using `Any` type. @overload def is_dataclass(obj: Never) -> TypeIs[DataclassInstance | type[DataclassInstance]]: ... # type: ignore[narrowed-type-not-subtype] # pyright: ignore[reportGeneralTypeIssues] @overload def is_dataclass(obj: type) -> TypeIs[type[DataclassInstance]]: ... @overload def is_dataclass(obj: object) -> TypeIs[DataclassInstance | type[DataclassInstance]]: ... class FrozenInstanceError(AttributeError): ... class InitVar(Generic[_T]): __slots__ = ("type",) type: Type[_T] def __init__(self, type: Type[_T]) -> None: ... @overload def __class_getitem__(cls, type: Type[_T]) -> InitVar[_T]: ... # pyright: ignore[reportInvalidTypeForm] @overload def __class_getitem__(cls, type: Any) -> InitVar[Any]: ... # pyright: ignore[reportInvalidTypeForm] if sys.version_info >= (3, 14): def make_dataclass( cls_name: str, fields: Iterable[str | tuple[str, Any] | tuple[str, Any, Any]], *, bases: tuple[type, ...] = (), namespace: dict[str, Any] | None = None, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, weakref_slot: bool = False, module: str | None = None, decorator: _DataclassFactory = ..., ) -> type: ... elif sys.version_info >= (3, 12): def make_dataclass( cls_name: str, fields: Iterable[str | tuple[str, Any] | tuple[str, Any, Any]], *, bases: tuple[type, ...] = (), namespace: dict[str, Any] | None = None, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, weakref_slot: bool = False, module: str | None = None, ) -> type: ... elif sys.version_info >= (3, 11): def make_dataclass( cls_name: str, fields: Iterable[str | tuple[str, Any] | tuple[str, Any, Any]], *, bases: tuple[type, ...] = (), namespace: dict[str, Any] | None = None, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, weakref_slot: bool = False, ) -> type: ... elif sys.version_info >= (3, 10): def make_dataclass( cls_name: str, fields: Iterable[str | tuple[str, Any] | tuple[str, Any, Any]], *, bases: tuple[type, ...] = (), namespace: dict[str, Any] | None = None, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, match_args: bool = True, kw_only: bool = False, slots: bool = False, ) -> type: ... else: def make_dataclass( cls_name: str, fields: Iterable[str | tuple[str, Any] | tuple[str, Any, Any]], *, bases: tuple[type, ...] = (), namespace: dict[str, Any] | None = None, init: bool = True, repr: bool = True, eq: bool = True, order: bool = False, unsafe_hash: bool = False, frozen: bool = False, ) -> type: ... def replace(obj: _DataclassT, /, **changes: Any) -> _DataclassT: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/datetime.pyi0000644000175100017510000002774015112307767020714 0ustar00runnerrunnerimport sys from abc import abstractmethod from time import struct_time from typing import ClassVar, Final, NoReturn, SupportsIndex, final, overload, type_check_only from typing_extensions import CapsuleType, Self, TypeAlias, deprecated, disjoint_base if sys.version_info >= (3, 11): __all__ = ("date", "datetime", "time", "timedelta", "timezone", "tzinfo", "MINYEAR", "MAXYEAR", "UTC") else: __all__ = ("date", "datetime", "time", "timedelta", "timezone", "tzinfo", "MINYEAR", "MAXYEAR") MINYEAR: Final = 1 MAXYEAR: Final = 9999 class tzinfo: @abstractmethod def tzname(self, dt: datetime | None, /) -> str | None: ... @abstractmethod def utcoffset(self, dt: datetime | None, /) -> timedelta | None: ... @abstractmethod def dst(self, dt: datetime | None, /) -> timedelta | None: ... def fromutc(self, dt: datetime, /) -> datetime: ... # Alias required to avoid name conflicts with date(time).tzinfo. _TzInfo: TypeAlias = tzinfo @final class timezone(tzinfo): utc: ClassVar[timezone] min: ClassVar[timezone] max: ClassVar[timezone] def __new__(cls, offset: timedelta, name: str = ...) -> Self: ... def tzname(self, dt: datetime | None, /) -> str: ... def utcoffset(self, dt: datetime | None, /) -> timedelta: ... def dst(self, dt: datetime | None, /) -> None: ... def __hash__(self) -> int: ... def __eq__(self, value: object, /) -> bool: ... if sys.version_info >= (3, 11): UTC: timezone # This class calls itself datetime.IsoCalendarDate. It's neither # NamedTuple nor structseq. @final @type_check_only class _IsoCalendarDate(tuple[int, int, int]): @property def year(self) -> int: ... @property def week(self) -> int: ... @property def weekday(self) -> int: ... @disjoint_base class date: min: ClassVar[date] max: ClassVar[date] resolution: ClassVar[timedelta] def __new__(cls, year: SupportsIndex, month: SupportsIndex, day: SupportsIndex) -> Self: ... @classmethod def fromtimestamp(cls, timestamp: float, /) -> Self: ... @classmethod def today(cls) -> Self: ... @classmethod def fromordinal(cls, n: int, /) -> Self: ... @classmethod def fromisoformat(cls, date_string: str, /) -> Self: ... @classmethod def fromisocalendar(cls, year: int, week: int, day: int) -> Self: ... @property def year(self) -> int: ... @property def month(self) -> int: ... @property def day(self) -> int: ... def ctime(self) -> str: ... if sys.version_info >= (3, 14): @classmethod def strptime(cls, date_string: str, format: str, /) -> Self: ... # On <3.12, the name of the parameter in the pure-Python implementation # didn't match the name in the C implementation, # meaning it is only *safe* to pass it as a keyword argument on 3.12+ if sys.version_info >= (3, 12): def strftime(self, format: str) -> str: ... else: def strftime(self, format: str, /) -> str: ... def __format__(self, fmt: str, /) -> str: ... def isoformat(self) -> str: ... def timetuple(self) -> struct_time: ... def toordinal(self) -> int: ... if sys.version_info >= (3, 13): def __replace__(self, /, *, year: SupportsIndex = ..., month: SupportsIndex = ..., day: SupportsIndex = ...) -> Self: ... def replace(self, year: SupportsIndex = ..., month: SupportsIndex = ..., day: SupportsIndex = ...) -> Self: ... def __le__(self, value: date, /) -> bool: ... def __lt__(self, value: date, /) -> bool: ... def __ge__(self, value: date, /) -> bool: ... def __gt__(self, value: date, /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... def __add__(self, value: timedelta, /) -> Self: ... def __radd__(self, value: timedelta, /) -> Self: ... @overload def __sub__(self, value: datetime, /) -> NoReturn: ... @overload def __sub__(self, value: Self, /) -> timedelta: ... @overload def __sub__(self, value: timedelta, /) -> Self: ... def __hash__(self) -> int: ... def weekday(self) -> int: ... def isoweekday(self) -> int: ... def isocalendar(self) -> _IsoCalendarDate: ... @disjoint_base class time: min: ClassVar[time] max: ClassVar[time] resolution: ClassVar[timedelta] def __new__( cls, hour: SupportsIndex = 0, minute: SupportsIndex = 0, second: SupportsIndex = 0, microsecond: SupportsIndex = 0, tzinfo: _TzInfo | None = None, *, fold: int = 0, ) -> Self: ... @property def hour(self) -> int: ... @property def minute(self) -> int: ... @property def second(self) -> int: ... @property def microsecond(self) -> int: ... @property def tzinfo(self) -> _TzInfo | None: ... @property def fold(self) -> int: ... def __le__(self, value: time, /) -> bool: ... def __lt__(self, value: time, /) -> bool: ... def __ge__(self, value: time, /) -> bool: ... def __gt__(self, value: time, /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... def isoformat(self, timespec: str = "auto") -> str: ... @classmethod def fromisoformat(cls, time_string: str, /) -> Self: ... if sys.version_info >= (3, 14): @classmethod def strptime(cls, date_string: str, format: str, /) -> Self: ... # On <3.12, the name of the parameter in the pure-Python implementation # didn't match the name in the C implementation, # meaning it is only *safe* to pass it as a keyword argument on 3.12+ if sys.version_info >= (3, 12): def strftime(self, format: str) -> str: ... else: def strftime(self, format: str, /) -> str: ... def __format__(self, fmt: str, /) -> str: ... def utcoffset(self) -> timedelta | None: ... def tzname(self) -> str | None: ... def dst(self) -> timedelta | None: ... if sys.version_info >= (3, 13): def __replace__( self, /, *, hour: SupportsIndex = ..., minute: SupportsIndex = ..., second: SupportsIndex = ..., microsecond: SupportsIndex = ..., tzinfo: _TzInfo | None = ..., fold: int = ..., ) -> Self: ... def replace( self, hour: SupportsIndex = ..., minute: SupportsIndex = ..., second: SupportsIndex = ..., microsecond: SupportsIndex = ..., tzinfo: _TzInfo | None = ..., *, fold: int = ..., ) -> Self: ... _Date: TypeAlias = date _Time: TypeAlias = time @disjoint_base class timedelta: min: ClassVar[timedelta] max: ClassVar[timedelta] resolution: ClassVar[timedelta] def __new__( cls, days: float = 0, seconds: float = 0, microseconds: float = 0, milliseconds: float = 0, minutes: float = 0, hours: float = 0, weeks: float = 0, ) -> Self: ... @property def days(self) -> int: ... @property def seconds(self) -> int: ... @property def microseconds(self) -> int: ... def total_seconds(self) -> float: ... def __add__(self, value: timedelta, /) -> timedelta: ... def __radd__(self, value: timedelta, /) -> timedelta: ... def __sub__(self, value: timedelta, /) -> timedelta: ... def __rsub__(self, value: timedelta, /) -> timedelta: ... def __neg__(self) -> timedelta: ... def __pos__(self) -> timedelta: ... def __abs__(self) -> timedelta: ... def __mul__(self, value: float, /) -> timedelta: ... def __rmul__(self, value: float, /) -> timedelta: ... @overload def __floordiv__(self, value: timedelta, /) -> int: ... @overload def __floordiv__(self, value: int, /) -> timedelta: ... @overload def __truediv__(self, value: timedelta, /) -> float: ... @overload def __truediv__(self, value: float, /) -> timedelta: ... def __mod__(self, value: timedelta, /) -> timedelta: ... def __divmod__(self, value: timedelta, /) -> tuple[int, timedelta]: ... def __le__(self, value: timedelta, /) -> bool: ... def __lt__(self, value: timedelta, /) -> bool: ... def __ge__(self, value: timedelta, /) -> bool: ... def __gt__(self, value: timedelta, /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... def __bool__(self) -> bool: ... def __hash__(self) -> int: ... @disjoint_base class datetime(date): min: ClassVar[datetime] max: ClassVar[datetime] def __new__( cls, year: SupportsIndex, month: SupportsIndex, day: SupportsIndex, hour: SupportsIndex = 0, minute: SupportsIndex = 0, second: SupportsIndex = 0, microsecond: SupportsIndex = 0, tzinfo: _TzInfo | None = None, *, fold: int = 0, ) -> Self: ... @property def hour(self) -> int: ... @property def minute(self) -> int: ... @property def second(self) -> int: ... @property def microsecond(self) -> int: ... @property def tzinfo(self) -> _TzInfo | None: ... @property def fold(self) -> int: ... # On <3.12, the name of the first parameter in the pure-Python implementation # didn't match the name in the C implementation, # meaning it is only *safe* to pass it as a keyword argument on 3.12+ if sys.version_info >= (3, 12): @classmethod def fromtimestamp(cls, timestamp: float, tz: _TzInfo | None = None) -> Self: ... else: @classmethod def fromtimestamp(cls, timestamp: float, /, tz: _TzInfo | None = None) -> Self: ... @classmethod @deprecated("Use timezone-aware objects to represent datetimes in UTC; e.g. by calling .fromtimestamp(datetime.timezone.utc)") def utcfromtimestamp(cls, t: float, /) -> Self: ... @classmethod def now(cls, tz: _TzInfo | None = None) -> Self: ... @classmethod @deprecated("Use timezone-aware objects to represent datetimes in UTC; e.g. by calling .now(datetime.timezone.utc)") def utcnow(cls) -> Self: ... @classmethod def combine(cls, date: _Date, time: _Time, tzinfo: _TzInfo | None = ...) -> Self: ... def timestamp(self) -> float: ... def utctimetuple(self) -> struct_time: ... def date(self) -> _Date: ... def time(self) -> _Time: ... def timetz(self) -> _Time: ... if sys.version_info >= (3, 13): def __replace__( self, /, *, year: SupportsIndex = ..., month: SupportsIndex = ..., day: SupportsIndex = ..., hour: SupportsIndex = ..., minute: SupportsIndex = ..., second: SupportsIndex = ..., microsecond: SupportsIndex = ..., tzinfo: _TzInfo | None = ..., fold: int = ..., ) -> Self: ... def replace( self, year: SupportsIndex = ..., month: SupportsIndex = ..., day: SupportsIndex = ..., hour: SupportsIndex = ..., minute: SupportsIndex = ..., second: SupportsIndex = ..., microsecond: SupportsIndex = ..., tzinfo: _TzInfo | None = ..., *, fold: int = ..., ) -> Self: ... def astimezone(self, tz: _TzInfo | None = None) -> Self: ... def isoformat(self, sep: str = "T", timespec: str = "auto") -> str: ... @classmethod def strptime(cls, date_string: str, format: str, /) -> Self: ... def utcoffset(self) -> timedelta | None: ... def tzname(self) -> str | None: ... def dst(self) -> timedelta | None: ... def __le__(self, value: datetime, /) -> bool: ... # type: ignore[override] def __lt__(self, value: datetime, /) -> bool: ... # type: ignore[override] def __ge__(self, value: datetime, /) -> bool: ... # type: ignore[override] def __gt__(self, value: datetime, /) -> bool: ... # type: ignore[override] def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... @overload # type: ignore[override] def __sub__(self, value: Self, /) -> timedelta: ... @overload def __sub__(self, value: timedelta, /) -> Self: ... datetime_CAPI: CapsuleType ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.548765 mypy-1.19.0/mypy/typeshed/stdlib/dbm/0000755000175100017510000000000015112310012017076 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/dbm/__init__.pyi0000644000175100017510000000413715112307767021414 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from collections.abc import Iterator, MutableMapping from types import TracebackType from typing import Literal, type_check_only from typing_extensions import Self, TypeAlias __all__ = ["open", "whichdb", "error"] _KeyType: TypeAlias = str | bytes _ValueType: TypeAlias = str | bytes | bytearray _TFlags: TypeAlias = Literal[ "r", "w", "c", "n", "rf", "wf", "cf", "nf", "rs", "ws", "cs", "ns", "ru", "wu", "cu", "nu", "rfs", "wfs", "cfs", "nfs", "rfu", "wfu", "cfu", "nfu", "rsf", "wsf", "csf", "nsf", "rsu", "wsu", "csu", "nsu", "ruf", "wuf", "cuf", "nuf", "rus", "wus", "cus", "nus", "rfsu", "wfsu", "cfsu", "nfsu", "rfus", "wfus", "cfus", "nfus", "rsfu", "wsfu", "csfu", "nsfu", "rsuf", "wsuf", "csuf", "nsuf", "rufs", "wufs", "cufs", "nufs", "rusf", "wusf", "cusf", "nusf", ] @type_check_only class _Database(MutableMapping[_KeyType, bytes]): def close(self) -> None: ... def __getitem__(self, key: _KeyType) -> bytes: ... def __setitem__(self, key: _KeyType, value: _ValueType) -> None: ... def __delitem__(self, key: _KeyType) -> None: ... def __iter__(self) -> Iterator[bytes]: ... def __len__(self) -> int: ... def __del__(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... # This class is not exposed. It calls itself dbm.error. @type_check_only class _error(Exception): ... error: tuple[type[_error], type[OSError]] if sys.version_info >= (3, 11): def whichdb(filename: StrOrBytesPath) -> str | None: ... def open(file: StrOrBytesPath, flag: _TFlags = "r", mode: int = 0o666) -> _Database: ... else: def whichdb(filename: str) -> str | None: ... def open(file: str, flag: _TFlags = "r", mode: int = 0o666) -> _Database: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/dbm/dumb.pyi0000644000175100017510000000267315112307767020607 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from collections.abc import Iterator, MutableMapping from types import TracebackType from typing_extensions import Self, TypeAlias __all__ = ["error", "open"] _KeyType: TypeAlias = str | bytes _ValueType: TypeAlias = str | bytes error = OSError # This class doesn't exist at runtime. open() can return an instance of # any of the three implementations of dbm (dumb, gnu, ndbm), and this # class is intended to represent the common interface supported by all three. class _Database(MutableMapping[_KeyType, bytes]): def __init__(self, filebasename: str, mode: str, flag: str = "c") -> None: ... def sync(self) -> None: ... def iterkeys(self) -> Iterator[bytes]: ... # undocumented def close(self) -> None: ... def __getitem__(self, key: _KeyType) -> bytes: ... def __setitem__(self, key: _KeyType, val: _ValueType) -> None: ... def __delitem__(self, key: _KeyType) -> None: ... def __iter__(self) -> Iterator[bytes]: ... def __len__(self) -> int: ... def __del__(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... if sys.version_info >= (3, 11): def open(file: StrOrBytesPath, flag: str = "c", mode: int = 0o666) -> _Database: ... else: def open(file: str, flag: str = "c", mode: int = 0o666) -> _Database: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/dbm/gnu.pyi0000644000175100017510000000002415112307767020435 0ustar00runnerrunnerfrom _gdbm import * ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/dbm/ndbm.pyi0000644000175100017510000000002315112307767020563 0ustar00runnerrunnerfrom _dbm import * ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/dbm/sqlite3.pyi0000644000175100017510000000231415112307767021234 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer, StrOrBytesPath, Unused from collections.abc import Generator, MutableMapping from typing import Final, Literal from typing_extensions import LiteralString, Self, TypeAlias BUILD_TABLE: Final[LiteralString] GET_SIZE: Final[LiteralString] LOOKUP_KEY: Final[LiteralString] STORE_KV: Final[LiteralString] DELETE_KEY: Final[LiteralString] ITER_KEYS: Final[LiteralString] _SqliteData: TypeAlias = str | ReadableBuffer | int | float class error(OSError): ... class _Database(MutableMapping[bytes, bytes]): def __init__(self, path: StrOrBytesPath, /, *, flag: Literal["r", "w", "c", "n"], mode: int) -> None: ... def __len__(self) -> int: ... def __getitem__(self, key: _SqliteData) -> bytes: ... def __setitem__(self, key: _SqliteData, value: _SqliteData) -> None: ... def __delitem__(self, key: _SqliteData) -> None: ... def __iter__(self) -> Generator[bytes]: ... def close(self) -> None: ... def keys(self) -> list[bytes]: ... # type: ignore[override] def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def open(filename: StrOrBytesPath, /, flag: Literal["r", "w", "c", "n"] = "r", mode: int = 0o666) -> _Database: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/decimal.pyi0000644000175100017510000003337515112307767020517 0ustar00runnerrunnerimport numbers import sys from _decimal import ( HAVE_CONTEXTVAR as HAVE_CONTEXTVAR, HAVE_THREADS as HAVE_THREADS, MAX_EMAX as MAX_EMAX, MAX_PREC as MAX_PREC, MIN_EMIN as MIN_EMIN, MIN_ETINY as MIN_ETINY, ROUND_05UP as ROUND_05UP, ROUND_CEILING as ROUND_CEILING, ROUND_DOWN as ROUND_DOWN, ROUND_FLOOR as ROUND_FLOOR, ROUND_HALF_DOWN as ROUND_HALF_DOWN, ROUND_HALF_EVEN as ROUND_HALF_EVEN, ROUND_HALF_UP as ROUND_HALF_UP, ROUND_UP as ROUND_UP, BasicContext as BasicContext, DefaultContext as DefaultContext, ExtendedContext as ExtendedContext, __libmpdec_version__ as __libmpdec_version__, __version__ as __version__, getcontext as getcontext, localcontext as localcontext, setcontext as setcontext, ) from collections.abc import Container, Sequence from types import TracebackType from typing import Any, ClassVar, Literal, NamedTuple, final, overload, type_check_only from typing_extensions import Self, TypeAlias, disjoint_base if sys.version_info >= (3, 14): from _decimal import IEEE_CONTEXT_MAX_BITS as IEEE_CONTEXT_MAX_BITS, IEEEContext as IEEEContext _Decimal: TypeAlias = Decimal | int _DecimalNew: TypeAlias = Decimal | float | str | tuple[int, Sequence[int], int] _ComparableNum: TypeAlias = Decimal | float | numbers.Rational _TrapType: TypeAlias = type[DecimalException] # At runtime, these classes are implemented in C as part of "_decimal". # However, they consider themselves to live in "decimal", so we'll put them here. # This type isn't exposed at runtime. It calls itself decimal.ContextManager @final @type_check_only class _ContextManager: def __init__(self, new_context: Context) -> None: ... def __enter__(self) -> Context: ... def __exit__(self, t: type[BaseException] | None, v: BaseException | None, tb: TracebackType | None) -> None: ... class DecimalTuple(NamedTuple): sign: int digits: tuple[int, ...] exponent: int | Literal["n", "N", "F"] class DecimalException(ArithmeticError): ... class Clamped(DecimalException): ... class InvalidOperation(DecimalException): ... class ConversionSyntax(InvalidOperation): ... class DivisionByZero(DecimalException, ZeroDivisionError): ... class DivisionImpossible(InvalidOperation): ... class DivisionUndefined(InvalidOperation, ZeroDivisionError): ... class Inexact(DecimalException): ... class InvalidContext(InvalidOperation): ... class Rounded(DecimalException): ... class Subnormal(DecimalException): ... class Overflow(Inexact, Rounded): ... class Underflow(Inexact, Rounded, Subnormal): ... class FloatOperation(DecimalException, TypeError): ... @disjoint_base class Decimal: def __new__(cls, value: _DecimalNew = "0", context: Context | None = None) -> Self: ... if sys.version_info >= (3, 14): @classmethod def from_number(cls, number: Decimal | float, /) -> Self: ... @classmethod def from_float(cls, f: float, /) -> Self: ... def __bool__(self) -> bool: ... def compare(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def __hash__(self) -> int: ... def as_tuple(self) -> DecimalTuple: ... def as_integer_ratio(self) -> tuple[int, int]: ... def to_eng_string(self, context: Context | None = None) -> str: ... def __abs__(self) -> Decimal: ... def __add__(self, value: _Decimal, /) -> Decimal: ... def __divmod__(self, value: _Decimal, /) -> tuple[Decimal, Decimal]: ... def __eq__(self, value: object, /) -> bool: ... def __floordiv__(self, value: _Decimal, /) -> Decimal: ... def __ge__(self, value: _ComparableNum, /) -> bool: ... def __gt__(self, value: _ComparableNum, /) -> bool: ... def __le__(self, value: _ComparableNum, /) -> bool: ... def __lt__(self, value: _ComparableNum, /) -> bool: ... def __mod__(self, value: _Decimal, /) -> Decimal: ... def __mul__(self, value: _Decimal, /) -> Decimal: ... def __neg__(self) -> Decimal: ... def __pos__(self) -> Decimal: ... def __pow__(self, value: _Decimal, mod: _Decimal | None = None, /) -> Decimal: ... def __radd__(self, value: _Decimal, /) -> Decimal: ... def __rdivmod__(self, value: _Decimal, /) -> tuple[Decimal, Decimal]: ... def __rfloordiv__(self, value: _Decimal, /) -> Decimal: ... def __rmod__(self, value: _Decimal, /) -> Decimal: ... def __rmul__(self, value: _Decimal, /) -> Decimal: ... def __rsub__(self, value: _Decimal, /) -> Decimal: ... def __rtruediv__(self, value: _Decimal, /) -> Decimal: ... def __sub__(self, value: _Decimal, /) -> Decimal: ... def __truediv__(self, value: _Decimal, /) -> Decimal: ... def remainder_near(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def __float__(self) -> float: ... def __int__(self) -> int: ... def __trunc__(self) -> int: ... @property def real(self) -> Decimal: ... @property def imag(self) -> Decimal: ... def conjugate(self) -> Decimal: ... def __complex__(self) -> complex: ... @overload def __round__(self) -> int: ... @overload def __round__(self, ndigits: int, /) -> Decimal: ... def __floor__(self) -> int: ... def __ceil__(self) -> int: ... def fma(self, other: _Decimal, third: _Decimal, context: Context | None = None) -> Decimal: ... def __rpow__(self, value: _Decimal, mod: Context | None = None, /) -> Decimal: ... def normalize(self, context: Context | None = None) -> Decimal: ... def quantize(self, exp: _Decimal, rounding: str | None = None, context: Context | None = None) -> Decimal: ... def same_quantum(self, other: _Decimal, context: Context | None = None) -> bool: ... def to_integral_exact(self, rounding: str | None = None, context: Context | None = None) -> Decimal: ... def to_integral_value(self, rounding: str | None = None, context: Context | None = None) -> Decimal: ... def to_integral(self, rounding: str | None = None, context: Context | None = None) -> Decimal: ... def sqrt(self, context: Context | None = None) -> Decimal: ... def max(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def min(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def adjusted(self) -> int: ... def canonical(self) -> Decimal: ... def compare_signal(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def compare_total(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def compare_total_mag(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def copy_abs(self) -> Decimal: ... def copy_negate(self) -> Decimal: ... def copy_sign(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def exp(self, context: Context | None = None) -> Decimal: ... def is_canonical(self) -> bool: ... def is_finite(self) -> bool: ... def is_infinite(self) -> bool: ... def is_nan(self) -> bool: ... def is_normal(self, context: Context | None = None) -> bool: ... def is_qnan(self) -> bool: ... def is_signed(self) -> bool: ... def is_snan(self) -> bool: ... def is_subnormal(self, context: Context | None = None) -> bool: ... def is_zero(self) -> bool: ... def ln(self, context: Context | None = None) -> Decimal: ... def log10(self, context: Context | None = None) -> Decimal: ... def logb(self, context: Context | None = None) -> Decimal: ... def logical_and(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def logical_invert(self, context: Context | None = None) -> Decimal: ... def logical_or(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def logical_xor(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def max_mag(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def min_mag(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def next_minus(self, context: Context | None = None) -> Decimal: ... def next_plus(self, context: Context | None = None) -> Decimal: ... def next_toward(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def number_class(self, context: Context | None = None) -> str: ... def radix(self) -> Decimal: ... def rotate(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def scaleb(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def shift(self, other: _Decimal, context: Context | None = None) -> Decimal: ... def __reduce__(self) -> tuple[type[Self], tuple[str]]: ... def __copy__(self) -> Self: ... def __deepcopy__(self, memo: Any, /) -> Self: ... def __format__(self, specifier: str, context: Context | None = None, /) -> str: ... @disjoint_base class Context: # TODO: Context doesn't allow you to delete *any* attributes from instances of the class at runtime, # even settable attributes like `prec` and `rounding`, # but that's inexpressible in the stub. # Type checkers either ignore it or misinterpret it # if you add a `def __delattr__(self, name: str, /) -> NoReturn` method to the stub prec: int rounding: str Emin: int Emax: int capitals: int clamp: int traps: dict[_TrapType, bool] flags: dict[_TrapType, bool] def __init__( self, prec: int | None = None, rounding: str | None = None, Emin: int | None = None, Emax: int | None = None, capitals: int | None = None, clamp: int | None = None, flags: dict[_TrapType, bool] | Container[_TrapType] | None = None, traps: dict[_TrapType, bool] | Container[_TrapType] | None = None, ) -> None: ... def __reduce__(self) -> tuple[type[Self], tuple[Any, ...]]: ... def clear_flags(self) -> None: ... def clear_traps(self) -> None: ... def copy(self) -> Context: ... def __copy__(self) -> Context: ... # see https://github.com/python/cpython/issues/94107 __hash__: ClassVar[None] # type: ignore[assignment] def Etiny(self) -> int: ... def Etop(self) -> int: ... def create_decimal(self, num: _DecimalNew = "0", /) -> Decimal: ... def create_decimal_from_float(self, f: float, /) -> Decimal: ... def abs(self, x: _Decimal, /) -> Decimal: ... def add(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def canonical(self, x: Decimal, /) -> Decimal: ... def compare(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def compare_signal(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def compare_total(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def compare_total_mag(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def copy_abs(self, x: _Decimal, /) -> Decimal: ... def copy_decimal(self, x: _Decimal, /) -> Decimal: ... def copy_negate(self, x: _Decimal, /) -> Decimal: ... def copy_sign(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def divide(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def divide_int(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def divmod(self, x: _Decimal, y: _Decimal, /) -> tuple[Decimal, Decimal]: ... def exp(self, x: _Decimal, /) -> Decimal: ... def fma(self, x: _Decimal, y: _Decimal, z: _Decimal, /) -> Decimal: ... def is_canonical(self, x: _Decimal, /) -> bool: ... def is_finite(self, x: _Decimal, /) -> bool: ... def is_infinite(self, x: _Decimal, /) -> bool: ... def is_nan(self, x: _Decimal, /) -> bool: ... def is_normal(self, x: _Decimal, /) -> bool: ... def is_qnan(self, x: _Decimal, /) -> bool: ... def is_signed(self, x: _Decimal, /) -> bool: ... def is_snan(self, x: _Decimal, /) -> bool: ... def is_subnormal(self, x: _Decimal, /) -> bool: ... def is_zero(self, x: _Decimal, /) -> bool: ... def ln(self, x: _Decimal, /) -> Decimal: ... def log10(self, x: _Decimal, /) -> Decimal: ... def logb(self, x: _Decimal, /) -> Decimal: ... def logical_and(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def logical_invert(self, x: _Decimal, /) -> Decimal: ... def logical_or(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def logical_xor(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def max(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def max_mag(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def min(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def min_mag(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def minus(self, x: _Decimal, /) -> Decimal: ... def multiply(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def next_minus(self, x: _Decimal, /) -> Decimal: ... def next_plus(self, x: _Decimal, /) -> Decimal: ... def next_toward(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def normalize(self, x: _Decimal, /) -> Decimal: ... def number_class(self, x: _Decimal, /) -> str: ... def plus(self, x: _Decimal, /) -> Decimal: ... def power(self, a: _Decimal, b: _Decimal, modulo: _Decimal | None = None) -> Decimal: ... def quantize(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def radix(self) -> Decimal: ... def remainder(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def remainder_near(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def rotate(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def same_quantum(self, x: _Decimal, y: _Decimal, /) -> bool: ... def scaleb(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def shift(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def sqrt(self, x: _Decimal, /) -> Decimal: ... def subtract(self, x: _Decimal, y: _Decimal, /) -> Decimal: ... def to_eng_string(self, x: _Decimal, /) -> str: ... def to_sci_string(self, x: _Decimal, /) -> str: ... def to_integral_exact(self, x: _Decimal, /) -> Decimal: ... def to_integral_value(self, x: _Decimal, /) -> Decimal: ... def to_integral(self, x: _Decimal, /) -> Decimal: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/difflib.pyi0000644000175100017510000001064015112307767020506 0ustar00runnerrunnerimport re import sys from collections.abc import Callable, Iterable, Iterator, Sequence from types import GenericAlias from typing import Any, AnyStr, Generic, Literal, NamedTuple, TypeVar, overload __all__ = [ "get_close_matches", "ndiff", "restore", "SequenceMatcher", "Differ", "IS_CHARACTER_JUNK", "IS_LINE_JUNK", "context_diff", "unified_diff", "diff_bytes", "HtmlDiff", "Match", ] _T = TypeVar("_T") class Match(NamedTuple): a: int b: int size: int class SequenceMatcher(Generic[_T]): @overload def __init__(self, isjunk: Callable[[_T], bool] | None, a: Sequence[_T], b: Sequence[_T], autojunk: bool = True) -> None: ... @overload def __init__(self, *, a: Sequence[_T], b: Sequence[_T], autojunk: bool = True) -> None: ... @overload def __init__( self: SequenceMatcher[str], isjunk: Callable[[str], bool] | None = None, a: Sequence[str] = "", b: Sequence[str] = "", autojunk: bool = True, ) -> None: ... def set_seqs(self, a: Sequence[_T], b: Sequence[_T]) -> None: ... def set_seq1(self, a: Sequence[_T]) -> None: ... def set_seq2(self, b: Sequence[_T]) -> None: ... def find_longest_match(self, alo: int = 0, ahi: int | None = None, blo: int = 0, bhi: int | None = None) -> Match: ... def get_matching_blocks(self) -> list[Match]: ... def get_opcodes(self) -> list[tuple[Literal["replace", "delete", "insert", "equal"], int, int, int, int]]: ... def get_grouped_opcodes(self, n: int = 3) -> Iterable[list[tuple[str, int, int, int, int]]]: ... def ratio(self) -> float: ... def quick_ratio(self) -> float: ... def real_quick_ratio(self) -> float: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @overload def get_close_matches(word: AnyStr, possibilities: Iterable[AnyStr], n: int = 3, cutoff: float = 0.6) -> list[AnyStr]: ... @overload def get_close_matches( word: Sequence[_T], possibilities: Iterable[Sequence[_T]], n: int = 3, cutoff: float = 0.6 ) -> list[Sequence[_T]]: ... class Differ: def __init__(self, linejunk: Callable[[str], bool] | None = None, charjunk: Callable[[str], bool] | None = None) -> None: ... def compare(self, a: Sequence[str], b: Sequence[str]) -> Iterator[str]: ... if sys.version_info >= (3, 14): def IS_LINE_JUNK(line: str, pat: Callable[[str], re.Match[str] | None] | None = None) -> bool: ... else: def IS_LINE_JUNK(line: str, pat: Callable[[str], re.Match[str] | None] = ...) -> bool: ... def IS_CHARACTER_JUNK(ch: str, ws: str = " \t") -> bool: ... # ws is undocumented def unified_diff( a: Sequence[str], b: Sequence[str], fromfile: str = "", tofile: str = "", fromfiledate: str = "", tofiledate: str = "", n: int = 3, lineterm: str = "\n", ) -> Iterator[str]: ... def context_diff( a: Sequence[str], b: Sequence[str], fromfile: str = "", tofile: str = "", fromfiledate: str = "", tofiledate: str = "", n: int = 3, lineterm: str = "\n", ) -> Iterator[str]: ... def ndiff( a: Sequence[str], b: Sequence[str], linejunk: Callable[[str], bool] | None = None, charjunk: Callable[[str], bool] | None = ..., ) -> Iterator[str]: ... class HtmlDiff: def __init__( self, tabsize: int = 8, wrapcolumn: int | None = None, linejunk: Callable[[str], bool] | None = None, charjunk: Callable[[str], bool] | None = ..., ) -> None: ... def make_file( self, fromlines: Sequence[str], tolines: Sequence[str], fromdesc: str = "", todesc: str = "", context: bool = False, numlines: int = 5, *, charset: str = "utf-8", ) -> str: ... def make_table( self, fromlines: Sequence[str], tolines: Sequence[str], fromdesc: str = "", todesc: str = "", context: bool = False, numlines: int = 5, ) -> str: ... def restore(delta: Iterable[str], which: int) -> Iterator[str]: ... def diff_bytes( dfunc: Callable[[Sequence[str], Sequence[str], str, str, str, str, int, str], Iterator[str]], a: Iterable[bytes | bytearray], b: Iterable[bytes | bytearray], fromfile: bytes | bytearray = b"", tofile: bytes | bytearray = b"", fromfiledate: bytes | bytearray = b"", tofiledate: bytes | bytearray = b"", n: int = 3, lineterm: bytes | bytearray = b"\n", ) -> Iterator[bytes]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/dis.pyi0000644000175100017510000002204015112307767017663 0ustar00runnerrunnerimport sys import types from collections.abc import Callable, Iterator from opcode import * # `dis` re-exports it as a part of public API from typing import IO, Any, Final, NamedTuple from typing_extensions import Self, TypeAlias, disjoint_base __all__ = [ "code_info", "dis", "disassemble", "distb", "disco", "findlinestarts", "findlabels", "show_code", "get_instructions", "Instruction", "Bytecode", "cmp_op", "hasconst", "hasname", "hasjrel", "hasjabs", "haslocal", "hascompare", "hasfree", "opname", "opmap", "HAVE_ARGUMENT", "EXTENDED_ARG", "stack_effect", ] if sys.version_info >= (3, 13): __all__ += ["hasjump"] if sys.version_info >= (3, 12): __all__ += ["hasarg", "hasexc"] else: __all__ += ["hasnargs"] # Strictly this should not have to include Callable, but mypy doesn't use FunctionType # for functions (python/mypy#3171) _HaveCodeType: TypeAlias = types.MethodType | types.FunctionType | types.CodeType | type | Callable[..., Any] if sys.version_info >= (3, 11): class Positions(NamedTuple): lineno: int | None = None end_lineno: int | None = None col_offset: int | None = None end_col_offset: int | None = None if sys.version_info >= (3, 13): class _Instruction(NamedTuple): opname: str opcode: int arg: int | None argval: Any argrepr: str offset: int start_offset: int starts_line: bool line_number: int | None label: int | None = None positions: Positions | None = None cache_info: list[tuple[str, int, Any]] | None = None elif sys.version_info >= (3, 11): class _Instruction(NamedTuple): opname: str opcode: int arg: int | None argval: Any argrepr: str offset: int starts_line: int | None is_jump_target: bool positions: Positions | None = None else: class _Instruction(NamedTuple): opname: str opcode: int arg: int | None argval: Any argrepr: str offset: int starts_line: int | None is_jump_target: bool if sys.version_info >= (3, 12): class Instruction(_Instruction): if sys.version_info < (3, 13): def _disassemble(self, lineno_width: int = 3, mark_as_current: bool = False, offset_width: int = 4) -> str: ... if sys.version_info >= (3, 13): @property def oparg(self) -> int: ... @property def baseopcode(self) -> int: ... @property def baseopname(self) -> str: ... @property def cache_offset(self) -> int: ... @property def end_offset(self) -> int: ... @property def jump_target(self) -> int: ... @property def is_jump_target(self) -> bool: ... if sys.version_info >= (3, 14): @staticmethod def make( opname: str, arg: int | None, argval: Any, argrepr: str, offset: int, start_offset: int, starts_line: bool, line_number: int | None, label: int | None = None, positions: Positions | None = None, cache_info: list[tuple[str, int, Any]] | None = None, ) -> Instruction: ... else: @disjoint_base class Instruction(_Instruction): def _disassemble(self, lineno_width: int = 3, mark_as_current: bool = False, offset_width: int = 4) -> str: ... class Bytecode: codeobj: types.CodeType first_line: int if sys.version_info >= (3, 14): show_positions: bool # 3.14 added `show_positions` def __init__( self, x: _HaveCodeType | str, *, first_line: int | None = None, current_offset: int | None = None, show_caches: bool = False, adaptive: bool = False, show_offsets: bool = False, show_positions: bool = False, ) -> None: ... elif sys.version_info >= (3, 13): show_offsets: bool # 3.13 added `show_offsets` def __init__( self, x: _HaveCodeType | str, *, first_line: int | None = None, current_offset: int | None = None, show_caches: bool = False, adaptive: bool = False, show_offsets: bool = False, ) -> None: ... elif sys.version_info >= (3, 11): def __init__( self, x: _HaveCodeType | str, *, first_line: int | None = None, current_offset: int | None = None, show_caches: bool = False, adaptive: bool = False, ) -> None: ... else: def __init__( self, x: _HaveCodeType | str, *, first_line: int | None = None, current_offset: int | None = None ) -> None: ... if sys.version_info >= (3, 11): @classmethod def from_traceback(cls, tb: types.TracebackType, *, show_caches: bool = False, adaptive: bool = False) -> Self: ... else: @classmethod def from_traceback(cls, tb: types.TracebackType) -> Self: ... def __iter__(self) -> Iterator[Instruction]: ... def info(self) -> str: ... def dis(self) -> str: ... COMPILER_FLAG_NAMES: Final[dict[int, str]] def findlabels(code: _HaveCodeType) -> list[int]: ... def findlinestarts(code: _HaveCodeType) -> Iterator[tuple[int, int]]: ... def pretty_flags(flags: int) -> str: ... def code_info(x: _HaveCodeType | str) -> str: ... if sys.version_info >= (3, 14): # 3.14 added `show_positions` def dis( x: _HaveCodeType | str | bytes | bytearray | None = None, *, file: IO[str] | None = None, depth: int | None = None, show_caches: bool = False, adaptive: bool = False, show_offsets: bool = False, show_positions: bool = False, ) -> None: ... def disassemble( co: _HaveCodeType, lasti: int = -1, *, file: IO[str] | None = None, show_caches: bool = False, adaptive: bool = False, show_offsets: bool = False, show_positions: bool = False, ) -> None: ... def distb( tb: types.TracebackType | None = None, *, file: IO[str] | None = None, show_caches: bool = False, adaptive: bool = False, show_offsets: bool = False, show_positions: bool = False, ) -> None: ... elif sys.version_info >= (3, 13): # 3.13 added `show_offsets` def dis( x: _HaveCodeType | str | bytes | bytearray | None = None, *, file: IO[str] | None = None, depth: int | None = None, show_caches: bool = False, adaptive: bool = False, show_offsets: bool = False, ) -> None: ... def disassemble( co: _HaveCodeType, lasti: int = -1, *, file: IO[str] | None = None, show_caches: bool = False, adaptive: bool = False, show_offsets: bool = False, ) -> None: ... def distb( tb: types.TracebackType | None = None, *, file: IO[str] | None = None, show_caches: bool = False, adaptive: bool = False, show_offsets: bool = False, ) -> None: ... elif sys.version_info >= (3, 11): # 3.11 added `show_caches` and `adaptive` def dis( x: _HaveCodeType | str | bytes | bytearray | None = None, *, file: IO[str] | None = None, depth: int | None = None, show_caches: bool = False, adaptive: bool = False, ) -> None: ... def disassemble( co: _HaveCodeType, lasti: int = -1, *, file: IO[str] | None = None, show_caches: bool = False, adaptive: bool = False ) -> None: ... def distb( tb: types.TracebackType | None = None, *, file: IO[str] | None = None, show_caches: bool = False, adaptive: bool = False ) -> None: ... else: def dis( x: _HaveCodeType | str | bytes | bytearray | None = None, *, file: IO[str] | None = None, depth: int | None = None ) -> None: ... def disassemble(co: _HaveCodeType, lasti: int = -1, *, file: IO[str] | None = None) -> None: ... def distb(tb: types.TracebackType | None = None, *, file: IO[str] | None = None) -> None: ... if sys.version_info >= (3, 13): # 3.13 made `show_cache` `None` by default def get_instructions( x: _HaveCodeType, *, first_line: int | None = None, show_caches: bool | None = None, adaptive: bool = False ) -> Iterator[Instruction]: ... elif sys.version_info >= (3, 11): def get_instructions( x: _HaveCodeType, *, first_line: int | None = None, show_caches: bool = False, adaptive: bool = False ) -> Iterator[Instruction]: ... else: def get_instructions(x: _HaveCodeType, *, first_line: int | None = None) -> Iterator[Instruction]: ... def show_code(co: _HaveCodeType, *, file: IO[str] | None = None) -> None: ... disco = disassemble ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5527651 mypy-1.19.0/mypy/typeshed/stdlib/distutils/0000755000175100017510000000000015112310012020360 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/__init__.pyi0000644000175100017510000000053715112307767022676 0ustar00runnerrunner# Attempts to improve these stubs are probably not the best use of time: # - distutils is deleted in Python 3.12 and newer # - Most users already do not use stdlib distutils, due to setuptools monkeypatching # - We have very little quality assurance on these stubs, since due to the two above issues # we allowlist all distutils errors in stubtest. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/_msvccompiler.pyi0000644000175100017510000000066515112307767024003 0ustar00runnerrunnerfrom _typeshed import Incomplete from distutils.ccompiler import CCompiler from typing import ClassVar, Final PLAT_SPEC_TO_RUNTIME: Final[dict[str, str]] PLAT_TO_VCVARS: Final[dict[str, str]] class MSVCCompiler(CCompiler): compiler_type: ClassVar[str] executables: ClassVar[dict[Incomplete, Incomplete]] res_extension: ClassVar[str] initialized: bool def initialize(self, plat_name: str | None = None) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/archive_util.pyi0000644000175100017510000000202015112307767023602 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath, StrPath from typing import Literal, overload @overload def make_archive( base_name: str, format: str, root_dir: StrOrBytesPath | None = None, base_dir: str | None = None, verbose: bool | Literal[0, 1] = 0, dry_run: bool | Literal[0, 1] = 0, owner: str | None = None, group: str | None = None, ) -> str: ... @overload def make_archive( base_name: StrPath, format: str, root_dir: StrOrBytesPath, base_dir: str | None = None, verbose: bool | Literal[0, 1] = 0, dry_run: bool | Literal[0, 1] = 0, owner: str | None = None, group: str | None = None, ) -> str: ... def make_tarball( base_name: str, base_dir: StrPath, compress: str | None = "gzip", verbose: bool | Literal[0, 1] = 0, dry_run: bool | Literal[0, 1] = 0, owner: str | None = None, group: str | None = None, ) -> str: ... def make_zipfile(base_name: str, base_dir: str, verbose: bool | Literal[0, 1] = 0, dry_run: bool | Literal[0, 1] = 0) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/bcppcompiler.pyi0000644000175100017510000000011615112307767023607 0ustar00runnerrunnerfrom distutils.ccompiler import CCompiler class BCPPCompiler(CCompiler): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/ccompiler.pyi0000644000175100017510000001627615112307767023123 0ustar00runnerrunnerfrom _typeshed import BytesPath, StrPath, Unused from collections.abc import Callable, Iterable, Sequence from distutils.file_util import _BytesPathT, _StrPathT from typing import Literal, overload from typing_extensions import TypeAlias, TypeVarTuple, Unpack _Macro: TypeAlias = tuple[str] | tuple[str, str | None] _Ts = TypeVarTuple("_Ts") def gen_lib_options( compiler: CCompiler, library_dirs: list[str], runtime_library_dirs: list[str], libraries: list[str] ) -> list[str]: ... def gen_preprocess_options(macros: list[_Macro], include_dirs: list[str]) -> list[str]: ... def get_default_compiler(osname: str | None = None, platform: str | None = None) -> str: ... def new_compiler( plat: str | None = None, compiler: str | None = None, verbose: bool | Literal[0, 1] = 0, dry_run: bool | Literal[0, 1] = 0, force: bool | Literal[0, 1] = 0, ) -> CCompiler: ... def show_compilers() -> None: ... class CCompiler: dry_run: bool force: bool verbose: bool output_dir: str | None macros: list[_Macro] include_dirs: list[str] libraries: list[str] library_dirs: list[str] runtime_library_dirs: list[str] objects: list[str] def __init__( self, verbose: bool | Literal[0, 1] = 0, dry_run: bool | Literal[0, 1] = 0, force: bool | Literal[0, 1] = 0 ) -> None: ... def add_include_dir(self, dir: str) -> None: ... def set_include_dirs(self, dirs: list[str]) -> None: ... def add_library(self, libname: str) -> None: ... def set_libraries(self, libnames: list[str]) -> None: ... def add_library_dir(self, dir: str) -> None: ... def set_library_dirs(self, dirs: list[str]) -> None: ... def add_runtime_library_dir(self, dir: str) -> None: ... def set_runtime_library_dirs(self, dirs: list[str]) -> None: ... def define_macro(self, name: str, value: str | None = None) -> None: ... def undefine_macro(self, name: str) -> None: ... def add_link_object(self, object: str) -> None: ... def set_link_objects(self, objects: list[str]) -> None: ... def detect_language(self, sources: str | list[str]) -> str | None: ... def find_library_file(self, dirs: list[str], lib: str, debug: bool | Literal[0, 1] = 0) -> str | None: ... def has_function( self, funcname: str, includes: list[str] | None = None, include_dirs: list[str] | None = None, libraries: list[str] | None = None, library_dirs: list[str] | None = None, ) -> bool: ... def library_dir_option(self, dir: str) -> str: ... def library_option(self, lib: str) -> str: ... def runtime_library_dir_option(self, dir: str) -> str: ... def set_executables(self, **args: str) -> None: ... def compile( self, sources: Sequence[StrPath], output_dir: str | None = None, macros: list[_Macro] | None = None, include_dirs: list[str] | None = None, debug: bool | Literal[0, 1] = 0, extra_preargs: list[str] | None = None, extra_postargs: list[str] | None = None, depends: list[str] | None = None, ) -> list[str]: ... def create_static_lib( self, objects: list[str], output_libname: str, output_dir: str | None = None, debug: bool | Literal[0, 1] = 0, target_lang: str | None = None, ) -> None: ... def link( self, target_desc: str, objects: list[str], output_filename: str, output_dir: str | None = None, libraries: list[str] | None = None, library_dirs: list[str] | None = None, runtime_library_dirs: list[str] | None = None, export_symbols: list[str] | None = None, debug: bool | Literal[0, 1] = 0, extra_preargs: list[str] | None = None, extra_postargs: list[str] | None = None, build_temp: str | None = None, target_lang: str | None = None, ) -> None: ... def link_executable( self, objects: list[str], output_progname: str, output_dir: str | None = None, libraries: list[str] | None = None, library_dirs: list[str] | None = None, runtime_library_dirs: list[str] | None = None, debug: bool | Literal[0, 1] = 0, extra_preargs: list[str] | None = None, extra_postargs: list[str] | None = None, target_lang: str | None = None, ) -> None: ... def link_shared_lib( self, objects: list[str], output_libname: str, output_dir: str | None = None, libraries: list[str] | None = None, library_dirs: list[str] | None = None, runtime_library_dirs: list[str] | None = None, export_symbols: list[str] | None = None, debug: bool | Literal[0, 1] = 0, extra_preargs: list[str] | None = None, extra_postargs: list[str] | None = None, build_temp: str | None = None, target_lang: str | None = None, ) -> None: ... def link_shared_object( self, objects: list[str], output_filename: str, output_dir: str | None = None, libraries: list[str] | None = None, library_dirs: list[str] | None = None, runtime_library_dirs: list[str] | None = None, export_symbols: list[str] | None = None, debug: bool | Literal[0, 1] = 0, extra_preargs: list[str] | None = None, extra_postargs: list[str] | None = None, build_temp: str | None = None, target_lang: str | None = None, ) -> None: ... def preprocess( self, source: str, output_file: str | None = None, macros: list[_Macro] | None = None, include_dirs: list[str] | None = None, extra_preargs: list[str] | None = None, extra_postargs: list[str] | None = None, ) -> None: ... @overload def executable_filename(self, basename: str, strip_dir: Literal[0, False] = 0, output_dir: StrPath = "") -> str: ... @overload def executable_filename(self, basename: StrPath, strip_dir: Literal[1, True], output_dir: StrPath = "") -> str: ... def library_filename( self, libname: str, lib_type: str = "static", strip_dir: bool | Literal[0, 1] = 0, output_dir: StrPath = "" ) -> str: ... def object_filenames( self, source_filenames: Iterable[StrPath], strip_dir: bool | Literal[0, 1] = 0, output_dir: StrPath | None = "" ) -> list[str]: ... @overload def shared_object_filename(self, basename: str, strip_dir: Literal[0, False] = 0, output_dir: StrPath = "") -> str: ... @overload def shared_object_filename(self, basename: StrPath, strip_dir: Literal[1, True], output_dir: StrPath = "") -> str: ... def execute( self, func: Callable[[Unpack[_Ts]], Unused], args: tuple[Unpack[_Ts]], msg: str | None = None, level: int = 1 ) -> None: ... def spawn(self, cmd: Iterable[str]) -> None: ... def mkpath(self, name: str, mode: int = 0o777) -> None: ... @overload def move_file(self, src: StrPath, dst: _StrPathT) -> _StrPathT | str: ... @overload def move_file(self, src: BytesPath, dst: _BytesPathT) -> _BytesPathT | bytes: ... def announce(self, msg: str, level: int = 1) -> None: ... def warn(self, msg: str) -> None: ... def debug_print(self, msg: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/cmd.pyi0000644000175100017510000002555415112307767021710 0ustar00runnerrunnerfrom _typeshed import BytesPath, StrOrBytesPath, StrPath, Unused from abc import abstractmethod from collections.abc import Callable, Iterable from distutils.command.bdist import bdist from distutils.command.bdist_dumb import bdist_dumb from distutils.command.bdist_rpm import bdist_rpm from distutils.command.build import build from distutils.command.build_clib import build_clib from distutils.command.build_ext import build_ext from distutils.command.build_py import build_py from distutils.command.build_scripts import build_scripts from distutils.command.check import check from distutils.command.clean import clean from distutils.command.config import config from distutils.command.install import install from distutils.command.install_data import install_data from distutils.command.install_egg_info import install_egg_info from distutils.command.install_headers import install_headers from distutils.command.install_lib import install_lib from distutils.command.install_scripts import install_scripts from distutils.command.register import register from distutils.command.sdist import sdist from distutils.command.upload import upload from distutils.dist import Distribution from distutils.file_util import _BytesPathT, _StrPathT from typing import Any, ClassVar, Literal, TypeVar, overload from typing_extensions import TypeVarTuple, Unpack _CommandT = TypeVar("_CommandT", bound=Command) _Ts = TypeVarTuple("_Ts") class Command: dry_run: bool | Literal[0, 1] # Exposed from __getattr_. Same as Distribution.dry_run distribution: Distribution # Any to work around variance issues sub_commands: ClassVar[list[tuple[str, Callable[[Any], bool] | None]]] def __init__(self, dist: Distribution) -> None: ... @abstractmethod def initialize_options(self) -> None: ... @abstractmethod def finalize_options(self) -> None: ... @abstractmethod def run(self) -> None: ... def announce(self, msg: str, level: int = 1) -> None: ... def debug_print(self, msg: str) -> None: ... def ensure_string(self, option: str, default: str | None = None) -> None: ... def ensure_string_list(self, option: str) -> None: ... def ensure_filename(self, option: str) -> None: ... def ensure_dirname(self, option: str) -> None: ... def get_command_name(self) -> str: ... def set_undefined_options(self, src_cmd: str, *option_pairs: tuple[str, str]) -> None: ... # NOTE: This list comes directly from the distutils/command folder. Minus bdist_msi and bdist_wininst. @overload def get_finalized_command(self, command: Literal["bdist"], create: bool | Literal[0, 1] = 1) -> bdist: ... @overload def get_finalized_command(self, command: Literal["bdist_dumb"], create: bool | Literal[0, 1] = 1) -> bdist_dumb: ... @overload def get_finalized_command(self, command: Literal["bdist_rpm"], create: bool | Literal[0, 1] = 1) -> bdist_rpm: ... @overload def get_finalized_command(self, command: Literal["build"], create: bool | Literal[0, 1] = 1) -> build: ... @overload def get_finalized_command(self, command: Literal["build_clib"], create: bool | Literal[0, 1] = 1) -> build_clib: ... @overload def get_finalized_command(self, command: Literal["build_ext"], create: bool | Literal[0, 1] = 1) -> build_ext: ... @overload def get_finalized_command(self, command: Literal["build_py"], create: bool | Literal[0, 1] = 1) -> build_py: ... @overload def get_finalized_command(self, command: Literal["build_scripts"], create: bool | Literal[0, 1] = 1) -> build_scripts: ... @overload def get_finalized_command(self, command: Literal["check"], create: bool | Literal[0, 1] = 1) -> check: ... @overload def get_finalized_command(self, command: Literal["clean"], create: bool | Literal[0, 1] = 1) -> clean: ... @overload def get_finalized_command(self, command: Literal["config"], create: bool | Literal[0, 1] = 1) -> config: ... @overload def get_finalized_command(self, command: Literal["install"], create: bool | Literal[0, 1] = 1) -> install: ... @overload def get_finalized_command(self, command: Literal["install_data"], create: bool | Literal[0, 1] = 1) -> install_data: ... @overload def get_finalized_command( self, command: Literal["install_egg_info"], create: bool | Literal[0, 1] = 1 ) -> install_egg_info: ... @overload def get_finalized_command(self, command: Literal["install_headers"], create: bool | Literal[0, 1] = 1) -> install_headers: ... @overload def get_finalized_command(self, command: Literal["install_lib"], create: bool | Literal[0, 1] = 1) -> install_lib: ... @overload def get_finalized_command(self, command: Literal["install_scripts"], create: bool | Literal[0, 1] = 1) -> install_scripts: ... @overload def get_finalized_command(self, command: Literal["register"], create: bool | Literal[0, 1] = 1) -> register: ... @overload def get_finalized_command(self, command: Literal["sdist"], create: bool | Literal[0, 1] = 1) -> sdist: ... @overload def get_finalized_command(self, command: Literal["upload"], create: bool | Literal[0, 1] = 1) -> upload: ... @overload def get_finalized_command(self, command: str, create: bool | Literal[0, 1] = 1) -> Command: ... @overload def reinitialize_command(self, command: Literal["bdist"], reinit_subcommands: bool | Literal[0, 1] = 0) -> bdist: ... @overload def reinitialize_command( self, command: Literal["bdist_dumb"], reinit_subcommands: bool | Literal[0, 1] = 0 ) -> bdist_dumb: ... @overload def reinitialize_command(self, command: Literal["bdist_rpm"], reinit_subcommands: bool | Literal[0, 1] = 0) -> bdist_rpm: ... @overload def reinitialize_command(self, command: Literal["build"], reinit_subcommands: bool | Literal[0, 1] = 0) -> build: ... @overload def reinitialize_command( self, command: Literal["build_clib"], reinit_subcommands: bool | Literal[0, 1] = 0 ) -> build_clib: ... @overload def reinitialize_command(self, command: Literal["build_ext"], reinit_subcommands: bool | Literal[0, 1] = 0) -> build_ext: ... @overload def reinitialize_command(self, command: Literal["build_py"], reinit_subcommands: bool | Literal[0, 1] = 0) -> build_py: ... @overload def reinitialize_command( self, command: Literal["build_scripts"], reinit_subcommands: bool | Literal[0, 1] = 0 ) -> build_scripts: ... @overload def reinitialize_command(self, command: Literal["check"], reinit_subcommands: bool | Literal[0, 1] = 0) -> check: ... @overload def reinitialize_command(self, command: Literal["clean"], reinit_subcommands: bool | Literal[0, 1] = 0) -> clean: ... @overload def reinitialize_command(self, command: Literal["config"], reinit_subcommands: bool | Literal[0, 1] = 0) -> config: ... @overload def reinitialize_command(self, command: Literal["install"], reinit_subcommands: bool | Literal[0, 1] = 0) -> install: ... @overload def reinitialize_command( self, command: Literal["install_data"], reinit_subcommands: bool | Literal[0, 1] = 0 ) -> install_data: ... @overload def reinitialize_command( self, command: Literal["install_egg_info"], reinit_subcommands: bool | Literal[0, 1] = 0 ) -> install_egg_info: ... @overload def reinitialize_command( self, command: Literal["install_headers"], reinit_subcommands: bool | Literal[0, 1] = 0 ) -> install_headers: ... @overload def reinitialize_command( self, command: Literal["install_lib"], reinit_subcommands: bool | Literal[0, 1] = 0 ) -> install_lib: ... @overload def reinitialize_command( self, command: Literal["install_scripts"], reinit_subcommands: bool | Literal[0, 1] = 0 ) -> install_scripts: ... @overload def reinitialize_command(self, command: Literal["register"], reinit_subcommands: bool | Literal[0, 1] = 0) -> register: ... @overload def reinitialize_command(self, command: Literal["sdist"], reinit_subcommands: bool | Literal[0, 1] = 0) -> sdist: ... @overload def reinitialize_command(self, command: Literal["upload"], reinit_subcommands: bool | Literal[0, 1] = 0) -> upload: ... @overload def reinitialize_command(self, command: str, reinit_subcommands: bool | Literal[0, 1] = 0) -> Command: ... @overload def reinitialize_command(self, command: _CommandT, reinit_subcommands: bool | Literal[0, 1] = 0) -> _CommandT: ... def run_command(self, command: str) -> None: ... def get_sub_commands(self) -> list[str]: ... def warn(self, msg: str) -> None: ... def execute( self, func: Callable[[Unpack[_Ts]], Unused], args: tuple[Unpack[_Ts]], msg: str | None = None, level: int = 1 ) -> None: ... def mkpath(self, name: str, mode: int = 0o777) -> None: ... @overload def copy_file( self, infile: StrPath, outfile: _StrPathT, preserve_mode: bool | Literal[0, 1] = 1, preserve_times: bool | Literal[0, 1] = 1, link: str | None = None, level: Unused = 1, ) -> tuple[_StrPathT | str, bool]: ... @overload def copy_file( self, infile: BytesPath, outfile: _BytesPathT, preserve_mode: bool | Literal[0, 1] = 1, preserve_times: bool | Literal[0, 1] = 1, link: str | None = None, level: Unused = 1, ) -> tuple[_BytesPathT | bytes, bool]: ... def copy_tree( self, infile: StrPath, outfile: str, preserve_mode: bool | Literal[0, 1] = 1, preserve_times: bool | Literal[0, 1] = 1, preserve_symlinks: bool | Literal[0, 1] = 0, level: Unused = 1, ) -> list[str]: ... @overload def move_file(self, src: StrPath, dst: _StrPathT, level: Unused = 1) -> _StrPathT | str: ... @overload def move_file(self, src: BytesPath, dst: _BytesPathT, level: Unused = 1) -> _BytesPathT | bytes: ... def spawn(self, cmd: Iterable[str], search_path: bool | Literal[0, 1] = 1, level: Unused = 1) -> None: ... @overload def make_archive( self, base_name: str, format: str, root_dir: StrOrBytesPath | None = None, base_dir: str | None = None, owner: str | None = None, group: str | None = None, ) -> str: ... @overload def make_archive( self, base_name: StrPath, format: str, root_dir: StrOrBytesPath, base_dir: str | None = None, owner: str | None = None, group: str | None = None, ) -> str: ... def make_file( self, infiles: str | list[str] | tuple[str, ...], outfile: StrOrBytesPath, func: Callable[[Unpack[_Ts]], Unused], args: tuple[Unpack[_Ts]], exec_msg: str | None = None, skip_msg: str | None = None, level: Unused = 1, ) -> None: ... def ensure_finalized(self) -> None: ... def dump_options(self, header=None, indent: str = "") -> None: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.556765 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/0000755000175100017510000000000015112310012021776 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/__init__.pyi0000644000175100017510000000130715112307767024310 0ustar00runnerrunnerimport sys from . import ( bdist, bdist_dumb, bdist_rpm, build, build_clib, build_ext, build_py, build_scripts, check, clean, install, install_data, install_headers, install_lib, install_scripts, register, sdist, upload, ) __all__ = [ "build", "build_py", "build_ext", "build_clib", "build_scripts", "clean", "install", "install_lib", "install_headers", "install_scripts", "install_data", "sdist", "register", "bdist", "bdist_dumb", "bdist_rpm", "check", "upload", ] if sys.version_info < (3, 10): from . import bdist_wininst __all__ += ["bdist_wininst"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/bdist.pyi0000644000175100017510000000155315112307767023661 0ustar00runnerrunnerfrom _typeshed import Incomplete, Unused from collections.abc import Callable from typing import ClassVar from ..cmd import Command def show_formats() -> None: ... class bdist(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] help_options: ClassVar[list[tuple[str, str | None, str, Callable[[], Unused]]]] no_format_option: ClassVar[tuple[str, ...]] default_format: ClassVar[dict[str, str]] format_commands: ClassVar[list[str]] format_command: ClassVar[dict[str, tuple[str, str]]] bdist_base: Incomplete plat_name: Incomplete formats: Incomplete dist_dir: Incomplete skip_build: int group: Incomplete owner: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/bdist_dumb.pyi0000644000175100017510000000114615112307767024666 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..cmd import Command class bdist_dumb(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] default_format: ClassVar[dict[str, str]] bdist_dir: Incomplete plat_name: Incomplete format: Incomplete keep_temp: int dist_dir: Incomplete skip_build: Incomplete relative: int owner: Incomplete group: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/bdist_msi.pyi0000644000175100017510000000330715112307767024530 0ustar00runnerrunnerimport sys from _typeshed import Incomplete from typing import ClassVar, Literal from ..cmd import Command if sys.platform == "win32": from msilib import Control, Dialog class PyDialog(Dialog): def __init__(self, *args, **kw) -> None: ... def title(self, title) -> None: ... def back(self, title, next, name: str = "Back", active: bool | Literal[0, 1] = 1) -> Control: ... def cancel(self, title, next, name: str = "Cancel", active: bool | Literal[0, 1] = 1) -> Control: ... def next(self, title, next, name: str = "Next", active: bool | Literal[0, 1] = 1) -> Control: ... def xbutton(self, name, title, next, xpos) -> Control: ... class bdist_msi(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] all_versions: Incomplete other_version: str def __init__(self, *args, **kw) -> None: ... bdist_dir: Incomplete plat_name: Incomplete keep_temp: int no_target_compile: int no_target_optimize: int target_version: Incomplete dist_dir: Incomplete skip_build: Incomplete install_script: Incomplete pre_install_script: Incomplete versions: Incomplete def initialize_options(self) -> None: ... install_script_key: Incomplete def finalize_options(self) -> None: ... db: Incomplete def run(self) -> None: ... def add_files(self) -> None: ... def add_find_python(self) -> None: ... def add_scripts(self) -> None: ... def add_ui(self) -> None: ... def get_installer_filename(self, fullname): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/bdist_packager.pyi0000644000175100017510000000000015112307767025500 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/bdist_rpm.pyi0000644000175100017510000000266115112307767024540 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..cmd import Command class bdist_rpm(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] negative_opt: ClassVar[dict[str, str]] bdist_base: Incomplete rpm_base: Incomplete dist_dir: Incomplete python: Incomplete fix_python: Incomplete spec_only: Incomplete binary_only: Incomplete source_only: Incomplete use_bzip2: Incomplete distribution_name: Incomplete group: Incomplete release: Incomplete serial: Incomplete vendor: Incomplete packager: Incomplete doc_files: Incomplete changelog: Incomplete icon: Incomplete prep_script: Incomplete build_script: Incomplete install_script: Incomplete clean_script: Incomplete verify_script: Incomplete pre_install: Incomplete post_install: Incomplete pre_uninstall: Incomplete post_uninstall: Incomplete prep: Incomplete provides: Incomplete requires: Incomplete conflicts: Incomplete build_requires: Incomplete obsoletes: Incomplete keep_temp: int use_rpm_opt_flags: int rpm3_mode: int no_autoreq: int force_arch: Incomplete quiet: int def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def finalize_package_data(self) -> None: ... def run(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/bdist_wininst.pyi0000644000175100017510000000120615112307767025427 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath from distutils.cmd import Command from typing import ClassVar class bdist_wininst(Command): description: ClassVar[str] user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def get_inidata(self) -> str: ... def create_exe(self, arcname: StrOrBytesPath, fullname: str, bitmap: StrOrBytesPath | None = None) -> None: ... def get_installer_filename(self, fullname: str) -> str: ... def get_exe_bytes(self) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/build.pyi0000644000175100017510000000207115112307767023647 0ustar00runnerrunnerfrom _typeshed import Incomplete, Unused from collections.abc import Callable from typing import Any, ClassVar from ..cmd import Command def show_compilers() -> None: ... class build(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] help_options: ClassVar[list[tuple[str, str | None, str, Callable[[], Unused]]]] build_base: str build_purelib: Incomplete build_platlib: Incomplete build_lib: Incomplete build_temp: Incomplete build_scripts: Incomplete compiler: Incomplete plat_name: Incomplete debug: Incomplete force: int executable: Incomplete parallel: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def has_pure_modules(self): ... def has_c_libraries(self): ... def has_ext_modules(self): ... def has_scripts(self): ... # Any to work around variance issues sub_commands: ClassVar[list[tuple[str, Callable[[Any], bool] | None]]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/build_clib.pyi0000644000175100017510000000162615112307767024645 0ustar00runnerrunnerfrom _typeshed import Incomplete, Unused from collections.abc import Callable from typing import ClassVar from ..cmd import Command def show_compilers() -> None: ... class build_clib(Command): description: str user_options: ClassVar[list[tuple[str, str, str]]] boolean_options: ClassVar[list[str]] help_options: ClassVar[list[tuple[str, str | None, str, Callable[[], Unused]]]] build_clib: Incomplete build_temp: Incomplete libraries: Incomplete include_dirs: Incomplete define: Incomplete undef: Incomplete debug: Incomplete force: int compiler: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def check_library_list(self, libraries) -> None: ... def get_library_names(self): ... def get_source_files(self): ... def build_libraries(self, libraries) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/build_ext.pyi0000644000175100017510000000316015112307767024527 0ustar00runnerrunnerfrom _typeshed import Incomplete, Unused from collections.abc import Callable from typing import ClassVar from ..cmd import Command extension_name_re: Incomplete def show_compilers() -> None: ... class build_ext(Command): description: str sep_by: Incomplete user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] help_options: ClassVar[list[tuple[str, str | None, str, Callable[[], Unused]]]] extensions: Incomplete build_lib: Incomplete plat_name: Incomplete build_temp: Incomplete inplace: int package: Incomplete include_dirs: Incomplete define: Incomplete undef: Incomplete libraries: Incomplete library_dirs: Incomplete rpath: Incomplete link_objects: Incomplete debug: Incomplete force: Incomplete compiler: Incomplete swig: Incomplete swig_cpp: Incomplete swig_opts: Incomplete user: Incomplete parallel: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def check_extensions_list(self, extensions) -> None: ... def get_source_files(self): ... def get_outputs(self): ... def build_extensions(self) -> None: ... def build_extension(self, ext) -> None: ... def swig_sources(self, sources, extension): ... def find_swig(self): ... def get_ext_fullpath(self, ext_name: str) -> str: ... def get_ext_fullname(self, ext_name: str) -> str: ... def get_ext_filename(self, ext_name: str) -> str: ... def get_export_symbols(self, ext): ... def get_libraries(self, ext): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/build_py.pyi0000644000175100017510000000317315112307767024363 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar, Literal from ..cmd import Command from ..util import Mixin2to3 as Mixin2to3 class build_py(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] negative_opt: ClassVar[dict[str, str]] build_lib: Incomplete py_modules: Incomplete package: Incomplete package_data: Incomplete package_dir: Incomplete compile: int optimize: int force: Incomplete def initialize_options(self) -> None: ... packages: Incomplete data_files: Incomplete def finalize_options(self) -> None: ... def run(self) -> None: ... def get_data_files(self): ... def find_data_files(self, package, src_dir): ... def build_package_data(self) -> None: ... def get_package_dir(self, package): ... def check_package(self, package, package_dir): ... def check_module(self, module, module_file): ... def find_package_modules(self, package, package_dir): ... def find_modules(self): ... def find_all_modules(self): ... def get_source_files(self): ... def get_module_outfile(self, build_dir, package, module): ... def get_outputs(self, include_bytecode: bool | Literal[0, 1] = 1) -> list[str]: ... def build_module(self, module, module_file, package): ... def build_modules(self) -> None: ... def build_packages(self) -> None: ... def byte_compile(self, files) -> None: ... class build_py_2to3(build_py, Mixin2to3): updated_files: Incomplete def run(self) -> None: ... def build_module(self, module, module_file, package): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/build_scripts.pyi0000644000175100017510000000127715112307767025425 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..cmd import Command from ..util import Mixin2to3 as Mixin2to3 first_line_re: Incomplete class build_scripts(Command): description: str user_options: ClassVar[list[tuple[str, str, str]]] boolean_options: ClassVar[list[str]] build_dir: Incomplete scripts: Incomplete force: Incomplete executable: Incomplete outfiles: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def get_source_files(self): ... def run(self) -> None: ... def copy_scripts(self): ... class build_scripts_2to3(build_scripts, Mixin2to3): def copy_scripts(self): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/check.pyi0000644000175100017510000000232415112307767023626 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import Any, ClassVar, Final, Literal from typing_extensions import TypeAlias from ..cmd import Command _Reporter: TypeAlias = Any # really docutils.utils.Reporter # Only defined if docutils is installed. # Depends on a third-party stub. Since distutils is deprecated anyway, # it's easier to just suppress the "any subclassing" error. class SilentReporter(_Reporter): messages: Incomplete def __init__( self, source, report_level, halt_level, stream: Incomplete | None = ..., debug: bool | Literal[0, 1] = 0, encoding: str = ..., error_handler: str = ..., ) -> None: ... def system_message(self, level, message, *children, **kwargs): ... HAS_DOCUTILS: Final[bool] class check(Command): description: str user_options: ClassVar[list[tuple[str, str, str]]] boolean_options: ClassVar[list[str]] restructuredtext: int metadata: int strict: int def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def warn(self, msg): ... def run(self) -> None: ... def check_metadata(self) -> None: ... def check_restructuredtext(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/clean.pyi0000644000175100017510000000100115112307767023622 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..cmd import Command class clean(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] build_base: Incomplete build_lib: Incomplete build_temp: Incomplete build_scripts: Incomplete bdist_base: Incomplete all: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/config.pyi0000644000175100017510000000533515112307767024023 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath from collections.abc import Sequence from re import Pattern from typing import ClassVar, Final, Literal from ..ccompiler import CCompiler from ..cmd import Command LANG_EXT: Final[dict[str, str]] class config(Command): description: str # Tuple is full name, short name, description user_options: ClassVar[list[tuple[str, str | None, str]]] compiler: str | CCompiler cc: str | None include_dirs: Sequence[str] | None libraries: Sequence[str] | None library_dirs: Sequence[str] | None noisy: int dump_source: int temp_files: Sequence[str] def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def try_cpp( self, body: str | None = None, headers: Sequence[str] | None = None, include_dirs: Sequence[str] | None = None, lang: str = "c", ) -> bool: ... def search_cpp( self, pattern: Pattern[str] | str, body: str | None = None, headers: Sequence[str] | None = None, include_dirs: Sequence[str] | None = None, lang: str = "c", ) -> bool: ... def try_compile( self, body: str, headers: Sequence[str] | None = None, include_dirs: Sequence[str] | None = None, lang: str = "c" ) -> bool: ... def try_link( self, body: str, headers: Sequence[str] | None = None, include_dirs: Sequence[str] | None = None, libraries: Sequence[str] | None = None, library_dirs: Sequence[str] | None = None, lang: str = "c", ) -> bool: ... def try_run( self, body: str, headers: Sequence[str] | None = None, include_dirs: Sequence[str] | None = None, libraries: Sequence[str] | None = None, library_dirs: Sequence[str] | None = None, lang: str = "c", ) -> bool: ... def check_func( self, func: str, headers: Sequence[str] | None = None, include_dirs: Sequence[str] | None = None, libraries: Sequence[str] | None = None, library_dirs: Sequence[str] | None = None, decl: bool | Literal[0, 1] = 0, call: bool | Literal[0, 1] = 0, ) -> bool: ... def check_lib( self, library: str, library_dirs: Sequence[str] | None = None, headers: Sequence[str] | None = None, include_dirs: Sequence[str] | None = None, other_libraries: list[str] = [], ) -> bool: ... def check_header( self, header: str, include_dirs: Sequence[str] | None = None, library_dirs: Sequence[str] | None = None, lang: str = "c" ) -> bool: ... def dump_file(filename: StrOrBytesPath, head=None) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/install.pyi0000644000175100017510000000436215112307767024223 0ustar00runnerrunnerimport sys from _typeshed import Incomplete from collections.abc import Callable from typing import Any, ClassVar, Final, Literal from ..cmd import Command HAS_USER_SITE: Final[bool] SCHEME_KEYS: Final[tuple[Literal["purelib"], Literal["platlib"], Literal["headers"], Literal["scripts"], Literal["data"]]] INSTALL_SCHEMES: Final[dict[str, dict[str, str]]] if sys.version_info < (3, 10): WINDOWS_SCHEME: Final[dict[str, str]] class install(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] negative_opt: ClassVar[dict[str, str]] prefix: str | None exec_prefix: Incomplete home: str | None user: bool install_base: Incomplete install_platbase: Incomplete root: str | None install_purelib: Incomplete install_platlib: Incomplete install_headers: Incomplete install_lib: str | None install_scripts: Incomplete install_data: Incomplete install_userbase: Incomplete install_usersite: Incomplete compile: Incomplete optimize: Incomplete extra_path: Incomplete install_path_file: int force: int skip_build: int warn_dir: int build_base: Incomplete build_lib: Incomplete record: Incomplete def initialize_options(self) -> None: ... config_vars: Incomplete install_libbase: Incomplete def finalize_options(self) -> None: ... def dump_dirs(self, msg) -> None: ... def finalize_unix(self) -> None: ... def finalize_other(self) -> None: ... def select_scheme(self, name) -> None: ... def expand_basedirs(self) -> None: ... def expand_dirs(self) -> None: ... def convert_paths(self, *names) -> None: ... path_file: Incomplete extra_dirs: Incomplete def handle_extra_path(self) -> None: ... def change_roots(self, *names) -> None: ... def create_home_path(self) -> None: ... def run(self) -> None: ... def create_path_file(self) -> None: ... def get_outputs(self): ... def get_inputs(self): ... def has_lib(self): ... def has_headers(self): ... def has_scripts(self): ... def has_data(self): ... # Any to work around variance issues sub_commands: ClassVar[list[tuple[str, Callable[[Any], bool] | None]]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/install_data.pyi0000644000175100017510000000105615112307767025211 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..cmd import Command class install_data(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] install_dir: Incomplete outfiles: Incomplete root: Incomplete force: int data_files: Incomplete warn_dir: int def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def get_inputs(self): ... def get_outputs(self): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/install_egg_info.pyi0000644000175100017510000000102415112307767026050 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..cmd import Command class install_egg_info(Command): description: ClassVar[str] user_options: ClassVar[list[tuple[str, str, str]]] install_dir: Incomplete def initialize_options(self) -> None: ... target: Incomplete outputs: Incomplete def finalize_options(self) -> None: ... def run(self) -> None: ... def get_outputs(self) -> list[str]: ... def safe_name(name): ... def safe_version(version): ... def to_filename(name): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/install_headers.pyi0000644000175100017510000000075015112307767025713 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..cmd import Command class install_headers(Command): description: str user_options: ClassVar[list[tuple[str, str, str]]] boolean_options: ClassVar[list[str]] install_dir: Incomplete force: int outfiles: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def get_inputs(self): ... def get_outputs(self): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/install_lib.pyi0000644000175100017510000000137515112307767025052 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar, Final from ..cmd import Command PYTHON_SOURCE_EXTENSION: Final = ".py" class install_lib(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] negative_opt: ClassVar[dict[str, str]] install_dir: Incomplete build_dir: Incomplete force: int compile: Incomplete optimize: Incomplete skip_build: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def build(self) -> None: ... def install(self): ... def byte_compile(self, files) -> None: ... def get_outputs(self): ... def get_inputs(self): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/install_scripts.pyi0000644000175100017510000000104415112307767025764 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..cmd import Command class install_scripts(Command): description: str user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] install_dir: Incomplete force: int build_dir: Incomplete skip_build: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... outfiles: Incomplete def run(self) -> None: ... def get_inputs(self): ... def get_outputs(self): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/register.pyi0000644000175100017510000000127115112307767024375 0ustar00runnerrunnerfrom collections.abc import Callable from typing import Any, ClassVar from ..config import PyPIRCCommand class register(PyPIRCCommand): description: str # Any to work around variance issues sub_commands: ClassVar[list[tuple[str, Callable[[Any], bool] | None]]] list_classifiers: int strict: int def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... def run(self) -> None: ... def check_metadata(self) -> None: ... def classifiers(self) -> None: ... def verify_metadata(self) -> None: ... def send_metadata(self) -> None: ... def build_post_data(self, action): ... def post_to_server(self, data, auth=None): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/sdist.pyi0000644000175100017510000000275515112307767023707 0ustar00runnerrunnerfrom _typeshed import Incomplete, Unused from collections.abc import Callable from typing import Any, ClassVar from ..cmd import Command def show_formats() -> None: ... class sdist(Command): description: str def checking_metadata(self): ... user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] help_options: ClassVar[list[tuple[str, str | None, str, Callable[[], Unused]]]] negative_opt: ClassVar[dict[str, str]] # Any to work around variance issues sub_commands: ClassVar[list[tuple[str, Callable[[Any], bool] | None]]] READMES: ClassVar[tuple[str, ...]] template: Incomplete manifest: Incomplete use_defaults: int prune: int manifest_only: int force_manifest: int formats: Incomplete keep_temp: int dist_dir: Incomplete archive_files: Incomplete metadata_check: int owner: Incomplete group: Incomplete def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... filelist: Incomplete def run(self) -> None: ... def check_metadata(self) -> None: ... def get_file_list(self) -> None: ... def add_defaults(self) -> None: ... def read_template(self) -> None: ... def prune_file_list(self) -> None: ... def write_manifest(self) -> None: ... def read_manifest(self) -> None: ... def make_release_tree(self, base_dir, files) -> None: ... def make_distribution(self) -> None: ... def get_archive_files(self): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/command/upload.pyi0000644000175100017510000000077715112307767024047 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar from ..config import PyPIRCCommand class upload(PyPIRCCommand): description: ClassVar[str] username: str password: str show_response: int sign: bool identity: Incomplete def initialize_options(self) -> None: ... repository: Incomplete realm: Incomplete def finalize_options(self) -> None: ... def run(self) -> None: ... def upload_file(self, command: str, pyversion: str, filename: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/config.pyi0000644000175100017510000000076115112307767022403 0ustar00runnerrunnerfrom abc import abstractmethod from distutils.cmd import Command from typing import ClassVar DEFAULT_PYPIRC: str class PyPIRCCommand(Command): DEFAULT_REPOSITORY: ClassVar[str] DEFAULT_REALM: ClassVar[str] repository: None realm: None user_options: ClassVar[list[tuple[str, str | None, str]]] boolean_options: ClassVar[list[str]] def initialize_options(self) -> None: ... def finalize_options(self) -> None: ... @abstractmethod def run(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/core.pyi0000644000175100017510000000366515112307767022074 0ustar00runnerrunnerfrom _typeshed import Incomplete, StrOrBytesPath from collections.abc import Mapping from distutils.cmd import Command as Command from distutils.dist import Distribution as Distribution from distutils.extension import Extension as Extension from typing import Any, Final, Literal USAGE: Final[str] def gen_usage(script_name: StrOrBytesPath) -> str: ... setup_keywords: tuple[str, ...] extension_keywords: tuple[str, ...] def setup( *, name: str = ..., version: str = ..., description: str = ..., long_description: str = ..., author: str = ..., author_email: str = ..., maintainer: str = ..., maintainer_email: str = ..., url: str = ..., download_url: str = ..., packages: list[str] = ..., py_modules: list[str] = ..., scripts: list[str] = ..., ext_modules: list[Extension] = ..., classifiers: list[str] = ..., distclass: type[Distribution] = ..., script_name: str = ..., script_args: list[str] = ..., options: Mapping[str, Incomplete] = ..., license: str = ..., keywords: list[str] | str = ..., platforms: list[str] | str = ..., cmdclass: Mapping[str, type[Command]] = ..., data_files: list[tuple[str, list[str]]] = ..., package_dir: Mapping[str, str] = ..., obsoletes: list[str] = ..., provides: list[str] = ..., requires: list[str] = ..., command_packages: list[str] = ..., command_options: Mapping[str, Mapping[str, tuple[Incomplete, Incomplete]]] = ..., package_data: Mapping[str, list[str]] = ..., include_package_data: bool | Literal[0, 1] = ..., libraries: list[str] = ..., headers: list[str] = ..., ext_package: str = ..., include_dirs: list[str] = ..., password: str = ..., fullname: str = ..., # Custom Distributions could accept more params **attrs: Any, ) -> Distribution: ... def run_setup(script_name: str, script_args: list[str] | None = None, stop_after: str = "run") -> Distribution: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/cygwinccompiler.pyi0000644000175100017510000000111215112307767024323 0ustar00runnerrunnerfrom distutils.unixccompiler import UnixCCompiler from distutils.version import LooseVersion from re import Pattern from typing import Final, Literal def get_msvcr() -> list[str] | None: ... class CygwinCCompiler(UnixCCompiler): ... class Mingw32CCompiler(CygwinCCompiler): ... CONFIG_H_OK: Final = "ok" CONFIG_H_NOTOK: Final = "not ok" CONFIG_H_UNCERTAIN: Final = "uncertain" def check_config_h() -> tuple[Literal["ok", "not ok", "uncertain"], str]: ... RE_VERSION: Final[Pattern[bytes]] def get_versions() -> tuple[LooseVersion | None, ...]: ... def is_cygwingcc() -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/debug.pyi0000644000175100017510000000006315112307767022217 0ustar00runnerrunnerfrom typing import Final DEBUG: Final[str | None] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/dep_util.pyi0000644000175100017510000000120715112307767022737 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath, SupportsLenAndGetItem from collections.abc import Iterable from typing import Literal, TypeVar _SourcesT = TypeVar("_SourcesT", bound=StrOrBytesPath) _TargetsT = TypeVar("_TargetsT", bound=StrOrBytesPath) def newer(source: StrOrBytesPath, target: StrOrBytesPath) -> bool | Literal[1]: ... def newer_pairwise( sources: SupportsLenAndGetItem[_SourcesT], targets: SupportsLenAndGetItem[_TargetsT] ) -> tuple[list[_SourcesT], list[_TargetsT]]: ... def newer_group( sources: Iterable[StrOrBytesPath], target: StrOrBytesPath, missing: Literal["error", "ignore", "newer"] = "error" ) -> Literal[0, 1]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/dir_util.pyi0000644000175100017510000000155315112307767022751 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath, StrPath from collections.abc import Iterable from typing import Literal def mkpath(name: str, mode: int = 0o777, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0) -> list[str]: ... def create_tree( base_dir: StrPath, files: Iterable[StrPath], mode: int = 0o777, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0, ) -> None: ... def copy_tree( src: StrPath, dst: str, preserve_mode: bool | Literal[0, 1] = 1, preserve_times: bool | Literal[0, 1] = 1, preserve_symlinks: bool | Literal[0, 1] = 0, update: bool | Literal[0, 1] = 0, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0, ) -> list[str]: ... def remove_tree(directory: StrOrBytesPath, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/dist.pyi0000644000175100017510000003556215112307767022110 0ustar00runnerrunnerfrom _typeshed import Incomplete, StrOrBytesPath, StrPath, SupportsWrite from collections.abc import Iterable, MutableMapping from distutils.cmd import Command from distutils.command.bdist import bdist from distutils.command.bdist_dumb import bdist_dumb from distutils.command.bdist_rpm import bdist_rpm from distutils.command.build import build from distutils.command.build_clib import build_clib from distutils.command.build_ext import build_ext from distutils.command.build_py import build_py from distutils.command.build_scripts import build_scripts from distutils.command.check import check from distutils.command.clean import clean from distutils.command.config import config from distutils.command.install import install from distutils.command.install_data import install_data from distutils.command.install_egg_info import install_egg_info from distutils.command.install_headers import install_headers from distutils.command.install_lib import install_lib from distutils.command.install_scripts import install_scripts from distutils.command.register import register from distutils.command.sdist import sdist from distutils.command.upload import upload from re import Pattern from typing import IO, ClassVar, Literal, TypeVar, overload from typing_extensions import TypeAlias command_re: Pattern[str] _OptionsList: TypeAlias = list[tuple[str, str | None, str, int] | tuple[str, str | None, str]] _CommandT = TypeVar("_CommandT", bound=Command) class DistributionMetadata: def __init__(self, path: StrOrBytesPath | None = None) -> None: ... name: str | None version: str | None author: str | None author_email: str | None maintainer: str | None maintainer_email: str | None url: str | None license: str | None description: str | None long_description: str | None keywords: str | list[str] | None platforms: str | list[str] | None classifiers: str | list[str] | None download_url: str | None provides: list[str] | None requires: list[str] | None obsoletes: list[str] | None def read_pkg_file(self, file: IO[str]) -> None: ... def write_pkg_info(self, base_dir: StrPath) -> None: ... def write_pkg_file(self, file: SupportsWrite[str]) -> None: ... def get_name(self) -> str: ... def get_version(self) -> str: ... def get_fullname(self) -> str: ... def get_author(self) -> str: ... def get_author_email(self) -> str: ... def get_maintainer(self) -> str: ... def get_maintainer_email(self) -> str: ... def get_contact(self) -> str: ... def get_contact_email(self) -> str: ... def get_url(self) -> str: ... def get_license(self) -> str: ... def get_licence(self) -> str: ... def get_description(self) -> str: ... def get_long_description(self) -> str: ... def get_keywords(self) -> str | list[str]: ... def get_platforms(self) -> str | list[str]: ... def get_classifiers(self) -> str | list[str]: ... def get_download_url(self) -> str: ... def get_requires(self) -> list[str]: ... def set_requires(self, value: Iterable[str]) -> None: ... def get_provides(self) -> list[str]: ... def set_provides(self, value: Iterable[str]) -> None: ... def get_obsoletes(self) -> list[str]: ... def set_obsoletes(self, value: Iterable[str]) -> None: ... class Distribution: cmdclass: dict[str, type[Command]] metadata: DistributionMetadata def __init__(self, attrs: MutableMapping[str, Incomplete] | None = None) -> None: ... def get_option_dict(self, command: str) -> dict[str, tuple[str, str]]: ... def parse_config_files(self, filenames: Iterable[str] | None = None) -> None: ... global_options: ClassVar[_OptionsList] common_usage: ClassVar[str] display_options: ClassVar[_OptionsList] display_option_names: ClassVar[list[str]] negative_opt: ClassVar[dict[str, str]] verbose: bool | Literal[0, 1] dry_run: bool | Literal[0, 1] help: bool | Literal[0, 1] command_packages: list[str] | None script_name: str | None script_args: list[str] | None command_options: dict[str, dict[str, tuple[str, str]]] dist_files: list[tuple[str, str, str]] packages: Incomplete package_data: dict[str, list[str]] package_dir: Incomplete py_modules: Incomplete libraries: Incomplete headers: Incomplete ext_modules: Incomplete ext_package: Incomplete include_dirs: Incomplete extra_path: Incomplete scripts: Incomplete data_files: Incomplete password: str command_obj: Incomplete have_run: Incomplete want_user_cfg: bool def dump_option_dicts(self, header=None, commands=None, indent: str = "") -> None: ... def find_config_files(self): ... commands: Incomplete def parse_command_line(self): ... def finalize_options(self) -> None: ... def handle_display_options(self, option_order): ... def print_command_list(self, commands, header, max_length) -> None: ... def print_commands(self) -> None: ... def get_command_list(self): ... def get_command_packages(self): ... # NOTE: This list comes directly from the distutils/command folder. Minus bdist_msi and bdist_wininst. @overload def get_command_obj(self, command: Literal["bdist"], create: Literal[1, True] = 1) -> bdist: ... @overload def get_command_obj(self, command: Literal["bdist_dumb"], create: Literal[1, True] = 1) -> bdist_dumb: ... @overload def get_command_obj(self, command: Literal["bdist_rpm"], create: Literal[1, True] = 1) -> bdist_rpm: ... @overload def get_command_obj(self, command: Literal["build"], create: Literal[1, True] = 1) -> build: ... @overload def get_command_obj(self, command: Literal["build_clib"], create: Literal[1, True] = 1) -> build_clib: ... @overload def get_command_obj(self, command: Literal["build_ext"], create: Literal[1, True] = 1) -> build_ext: ... @overload def get_command_obj(self, command: Literal["build_py"], create: Literal[1, True] = 1) -> build_py: ... @overload def get_command_obj(self, command: Literal["build_scripts"], create: Literal[1, True] = 1) -> build_scripts: ... @overload def get_command_obj(self, command: Literal["check"], create: Literal[1, True] = 1) -> check: ... @overload def get_command_obj(self, command: Literal["clean"], create: Literal[1, True] = 1) -> clean: ... @overload def get_command_obj(self, command: Literal["config"], create: Literal[1, True] = 1) -> config: ... @overload def get_command_obj(self, command: Literal["install"], create: Literal[1, True] = 1) -> install: ... @overload def get_command_obj(self, command: Literal["install_data"], create: Literal[1, True] = 1) -> install_data: ... @overload def get_command_obj(self, command: Literal["install_egg_info"], create: Literal[1, True] = 1) -> install_egg_info: ... @overload def get_command_obj(self, command: Literal["install_headers"], create: Literal[1, True] = 1) -> install_headers: ... @overload def get_command_obj(self, command: Literal["install_lib"], create: Literal[1, True] = 1) -> install_lib: ... @overload def get_command_obj(self, command: Literal["install_scripts"], create: Literal[1, True] = 1) -> install_scripts: ... @overload def get_command_obj(self, command: Literal["register"], create: Literal[1, True] = 1) -> register: ... @overload def get_command_obj(self, command: Literal["sdist"], create: Literal[1, True] = 1) -> sdist: ... @overload def get_command_obj(self, command: Literal["upload"], create: Literal[1, True] = 1) -> upload: ... @overload def get_command_obj(self, command: str, create: Literal[1, True] = 1) -> Command: ... # Not replicating the overloads for "Command | None", user may use "isinstance" @overload def get_command_obj(self, command: str, create: Literal[0, False]) -> Command | None: ... @overload def get_command_class(self, command: Literal["bdist"]) -> type[bdist]: ... @overload def get_command_class(self, command: Literal["bdist_dumb"]) -> type[bdist_dumb]: ... @overload def get_command_class(self, command: Literal["bdist_rpm"]) -> type[bdist_rpm]: ... @overload def get_command_class(self, command: Literal["build"]) -> type[build]: ... @overload def get_command_class(self, command: Literal["build_clib"]) -> type[build_clib]: ... @overload def get_command_class(self, command: Literal["build_ext"]) -> type[build_ext]: ... @overload def get_command_class(self, command: Literal["build_py"]) -> type[build_py]: ... @overload def get_command_class(self, command: Literal["build_scripts"]) -> type[build_scripts]: ... @overload def get_command_class(self, command: Literal["check"]) -> type[check]: ... @overload def get_command_class(self, command: Literal["clean"]) -> type[clean]: ... @overload def get_command_class(self, command: Literal["config"]) -> type[config]: ... @overload def get_command_class(self, command: Literal["install"]) -> type[install]: ... @overload def get_command_class(self, command: Literal["install_data"]) -> type[install_data]: ... @overload def get_command_class(self, command: Literal["install_egg_info"]) -> type[install_egg_info]: ... @overload def get_command_class(self, command: Literal["install_headers"]) -> type[install_headers]: ... @overload def get_command_class(self, command: Literal["install_lib"]) -> type[install_lib]: ... @overload def get_command_class(self, command: Literal["install_scripts"]) -> type[install_scripts]: ... @overload def get_command_class(self, command: Literal["register"]) -> type[register]: ... @overload def get_command_class(self, command: Literal["sdist"]) -> type[sdist]: ... @overload def get_command_class(self, command: Literal["upload"]) -> type[upload]: ... @overload def get_command_class(self, command: str) -> type[Command]: ... @overload def reinitialize_command(self, command: Literal["bdist"], reinit_subcommands: bool = False) -> bdist: ... @overload def reinitialize_command(self, command: Literal["bdist_dumb"], reinit_subcommands: bool = False) -> bdist_dumb: ... @overload def reinitialize_command(self, command: Literal["bdist_rpm"], reinit_subcommands: bool = False) -> bdist_rpm: ... @overload def reinitialize_command(self, command: Literal["build"], reinit_subcommands: bool = False) -> build: ... @overload def reinitialize_command(self, command: Literal["build_clib"], reinit_subcommands: bool = False) -> build_clib: ... @overload def reinitialize_command(self, command: Literal["build_ext"], reinit_subcommands: bool = False) -> build_ext: ... @overload def reinitialize_command(self, command: Literal["build_py"], reinit_subcommands: bool = False) -> build_py: ... @overload def reinitialize_command(self, command: Literal["build_scripts"], reinit_subcommands: bool = False) -> build_scripts: ... @overload def reinitialize_command(self, command: Literal["check"], reinit_subcommands: bool = False) -> check: ... @overload def reinitialize_command(self, command: Literal["clean"], reinit_subcommands: bool = False) -> clean: ... @overload def reinitialize_command(self, command: Literal["config"], reinit_subcommands: bool = False) -> config: ... @overload def reinitialize_command(self, command: Literal["install"], reinit_subcommands: bool = False) -> install: ... @overload def reinitialize_command(self, command: Literal["install_data"], reinit_subcommands: bool = False) -> install_data: ... @overload def reinitialize_command( self, command: Literal["install_egg_info"], reinit_subcommands: bool = False ) -> install_egg_info: ... @overload def reinitialize_command(self, command: Literal["install_headers"], reinit_subcommands: bool = False) -> install_headers: ... @overload def reinitialize_command(self, command: Literal["install_lib"], reinit_subcommands: bool = False) -> install_lib: ... @overload def reinitialize_command(self, command: Literal["install_scripts"], reinit_subcommands: bool = False) -> install_scripts: ... @overload def reinitialize_command(self, command: Literal["register"], reinit_subcommands: bool = False) -> register: ... @overload def reinitialize_command(self, command: Literal["sdist"], reinit_subcommands: bool = False) -> sdist: ... @overload def reinitialize_command(self, command: Literal["upload"], reinit_subcommands: bool = False) -> upload: ... @overload def reinitialize_command(self, command: str, reinit_subcommands: bool = False) -> Command: ... @overload def reinitialize_command(self, command: _CommandT, reinit_subcommands: bool = False) -> _CommandT: ... def announce(self, msg, level: int = 2) -> None: ... def run_commands(self) -> None: ... def run_command(self, command: str) -> None: ... def has_pure_modules(self) -> bool: ... def has_ext_modules(self) -> bool: ... def has_c_libraries(self) -> bool: ... def has_modules(self) -> bool: ... def has_headers(self) -> bool: ... def has_scripts(self) -> bool: ... def has_data_files(self) -> bool: ... def is_pure(self) -> bool: ... # Default getter methods generated in __init__ from self.metadata._METHOD_BASENAMES def get_name(self) -> str: ... def get_version(self) -> str: ... def get_fullname(self) -> str: ... def get_author(self) -> str: ... def get_author_email(self) -> str: ... def get_maintainer(self) -> str: ... def get_maintainer_email(self) -> str: ... def get_contact(self) -> str: ... def get_contact_email(self) -> str: ... def get_url(self) -> str: ... def get_license(self) -> str: ... def get_licence(self) -> str: ... def get_description(self) -> str: ... def get_long_description(self) -> str: ... def get_keywords(self) -> str | list[str]: ... def get_platforms(self) -> str | list[str]: ... def get_classifiers(self) -> str | list[str]: ... def get_download_url(self) -> str: ... def get_requires(self) -> list[str]: ... def get_provides(self) -> list[str]: ... def get_obsoletes(self) -> list[str]: ... # Default attributes generated in __init__ from self.display_option_names help_commands: bool | Literal[0] name: str | Literal[0] version: str | Literal[0] fullname: str | Literal[0] author: str | Literal[0] author_email: str | Literal[0] maintainer: str | Literal[0] maintainer_email: str | Literal[0] contact: str | Literal[0] contact_email: str | Literal[0] url: str | Literal[0] license: str | Literal[0] licence: str | Literal[0] description: str | Literal[0] long_description: str | Literal[0] platforms: str | list[str] | Literal[0] classifiers: str | list[str] | Literal[0] keywords: str | list[str] | Literal[0] provides: list[str] | Literal[0] requires: list[str] | Literal[0] obsoletes: list[str] | Literal[0] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/errors.pyi0000644000175100017510000000152415112307767022450 0ustar00runnerrunnerclass DistutilsError(Exception): ... class DistutilsModuleError(DistutilsError): ... class DistutilsClassError(DistutilsError): ... class DistutilsGetoptError(DistutilsError): ... class DistutilsArgError(DistutilsError): ... class DistutilsFileError(DistutilsError): ... class DistutilsOptionError(DistutilsError): ... class DistutilsSetupError(DistutilsError): ... class DistutilsPlatformError(DistutilsError): ... class DistutilsExecError(DistutilsError): ... class DistutilsInternalError(DistutilsError): ... class DistutilsTemplateError(DistutilsError): ... class DistutilsByteCompileError(DistutilsError): ... class CCompilerError(Exception): ... class PreprocessError(CCompilerError): ... class CompileError(CCompilerError): ... class LibError(CCompilerError): ... class LinkError(CCompilerError): ... class UnknownFileError(CCompilerError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/extension.pyi0000644000175100017510000000232415112307767023147 0ustar00runnerrunnerclass Extension: name: str sources: list[str] include_dirs: list[str] define_macros: list[tuple[str, str | None]] undef_macros: list[str] library_dirs: list[str] libraries: list[str] runtime_library_dirs: list[str] extra_objects: list[str] extra_compile_args: list[str] extra_link_args: list[str] export_symbols: list[str] swig_opts: list[str] depends: list[str] language: str | None optional: bool | None def __init__( self, name: str, sources: list[str], include_dirs: list[str] | None = None, define_macros: list[tuple[str, str | None]] | None = None, undef_macros: list[str] | None = None, library_dirs: list[str] | None = None, libraries: list[str] | None = None, runtime_library_dirs: list[str] | None = None, extra_objects: list[str] | None = None, extra_compile_args: list[str] | None = None, extra_link_args: list[str] | None = None, export_symbols: list[str] | None = None, swig_opts: list[str] | None = None, depends: list[str] | None = None, language: str | None = None, optional: bool | None = None, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/fancy_getopt.pyi0000644000175100017510000000321115112307767023611 0ustar00runnerrunnerfrom collections.abc import Iterable, Mapping from getopt import _SliceableT, _StrSequenceT_co from re import Pattern from typing import Any, Final, overload from typing_extensions import TypeAlias _Option: TypeAlias = tuple[str, str | None, str] longopt_pat: Final = r"[a-zA-Z](?:[a-zA-Z0-9-]*)" longopt_re: Final[Pattern[str]] neg_alias_re: Final[Pattern[str]] longopt_xlate: Final[dict[int, int]] class FancyGetopt: def __init__(self, option_table: list[_Option] | None = None) -> None: ... # TODO: kinda wrong, `getopt(object=object())` is invalid @overload def getopt( self, args: _SliceableT[_StrSequenceT_co] | None = None, object: None = None ) -> tuple[_StrSequenceT_co, OptionDummy]: ... @overload def getopt( self, args: _SliceableT[_StrSequenceT_co] | None, object: Any ) -> _StrSequenceT_co: ... # object is an arbitrary non-slotted object def get_option_order(self) -> list[tuple[str, str]]: ... def generate_help(self, header: str | None = None) -> list[str]: ... # Same note as FancyGetopt.getopt @overload def fancy_getopt( options: list[_Option], negative_opt: Mapping[_Option, _Option], object: None, args: _SliceableT[_StrSequenceT_co] | None ) -> tuple[_StrSequenceT_co, OptionDummy]: ... @overload def fancy_getopt( options: list[_Option], negative_opt: Mapping[_Option, _Option], object: Any, args: _SliceableT[_StrSequenceT_co] | None ) -> _StrSequenceT_co: ... WS_TRANS: Final[dict[int, str]] def wrap_text(text: str, width: int) -> list[str]: ... def translate_longopt(opt: str) -> str: ... class OptionDummy: def __init__(self, options: Iterable[str] = []) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/file_util.pyi0000644000175100017510000000245315112307767023112 0ustar00runnerrunnerfrom _typeshed import BytesPath, StrOrBytesPath, StrPath from collections.abc import Iterable from typing import Literal, TypeVar, overload _StrPathT = TypeVar("_StrPathT", bound=StrPath) _BytesPathT = TypeVar("_BytesPathT", bound=BytesPath) @overload def copy_file( src: StrPath, dst: _StrPathT, preserve_mode: bool | Literal[0, 1] = 1, preserve_times: bool | Literal[0, 1] = 1, update: bool | Literal[0, 1] = 0, link: str | None = None, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0, ) -> tuple[_StrPathT | str, bool]: ... @overload def copy_file( src: BytesPath, dst: _BytesPathT, preserve_mode: bool | Literal[0, 1] = 1, preserve_times: bool | Literal[0, 1] = 1, update: bool | Literal[0, 1] = 0, link: str | None = None, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0, ) -> tuple[_BytesPathT | bytes, bool]: ... @overload def move_file( src: StrPath, dst: _StrPathT, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0 ) -> _StrPathT | str: ... @overload def move_file( src: BytesPath, dst: _BytesPathT, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0 ) -> _BytesPathT | bytes: ... def write_file(filename: StrOrBytesPath, contents: Iterable[str]) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/filelist.pyi0000644000175100017510000000436415112307767022754 0ustar00runnerrunnerfrom collections.abc import Iterable from re import Pattern from typing import Literal, overload # class is entirely undocumented class FileList: allfiles: Iterable[str] | None files: list[str] def __init__(self, warn: None = None, debug_print: None = None) -> None: ... def set_allfiles(self, allfiles: Iterable[str]) -> None: ... def findall(self, dir: str = ".") -> None: ... def debug_print(self, msg: str) -> None: ... def append(self, item: str) -> None: ... def extend(self, items: Iterable[str]) -> None: ... def sort(self) -> None: ... def remove_duplicates(self) -> None: ... def process_template_line(self, line: str) -> None: ... @overload def include_pattern( self, pattern: str, anchor: bool | Literal[0, 1] = 1, prefix: str | None = None, is_regex: Literal[0, False] = 0 ) -> bool: ... @overload def include_pattern(self, pattern: str | Pattern[str], *, is_regex: Literal[True, 1]) -> bool: ... @overload def include_pattern( self, pattern: str | Pattern[str], anchor: bool | Literal[0, 1] = 1, prefix: str | None = None, is_regex: bool | Literal[0, 1] = 0, ) -> bool: ... @overload def exclude_pattern( self, pattern: str, anchor: bool | Literal[0, 1] = 1, prefix: str | None = None, is_regex: Literal[0, False] = 0 ) -> bool: ... @overload def exclude_pattern(self, pattern: str | Pattern[str], *, is_regex: Literal[True, 1]) -> bool: ... @overload def exclude_pattern( self, pattern: str | Pattern[str], anchor: bool | Literal[0, 1] = 1, prefix: str | None = None, is_regex: bool | Literal[0, 1] = 0, ) -> bool: ... def findall(dir: str = ".") -> list[str]: ... def glob_to_re(pattern: str) -> str: ... @overload def translate_pattern( pattern: str, anchor: bool | Literal[0, 1] = 1, prefix: str | None = None, is_regex: Literal[False, 0] = 0 ) -> Pattern[str]: ... @overload def translate_pattern(pattern: str | Pattern[str], *, is_regex: Literal[True, 1]) -> Pattern[str]: ... @overload def translate_pattern( pattern: str | Pattern[str], anchor: bool | Literal[0, 1] = 1, prefix: str | None = None, is_regex: bool | Literal[0, 1] = 0 ) -> Pattern[str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/log.pyi0000644000175100017510000000165415112307767021721 0ustar00runnerrunnerfrom typing import Any, Final DEBUG: Final = 1 INFO: Final = 2 WARN: Final = 3 ERROR: Final = 4 FATAL: Final = 5 class Log: def __init__(self, threshold: int = 3) -> None: ... # Arbitrary msg args' type depends on the format method def log(self, level: int, msg: str, *args: Any) -> None: ... def debug(self, msg: str, *args: Any) -> None: ... def info(self, msg: str, *args: Any) -> None: ... def warn(self, msg: str, *args: Any) -> None: ... def error(self, msg: str, *args: Any) -> None: ... def fatal(self, msg: str, *args: Any) -> None: ... def log(level: int, msg: str, *args: Any) -> None: ... def debug(msg: str, *args: Any) -> None: ... def info(msg: str, *args: Any) -> None: ... def warn(msg: str, *args: Any) -> None: ... def error(msg: str, *args: Any) -> None: ... def fatal(msg: str, *args: Any) -> None: ... def set_threshold(level: int) -> int: ... def set_verbosity(v: int) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/msvccompiler.pyi0000644000175100017510000000011615112307767023633 0ustar00runnerrunnerfrom distutils.ccompiler import CCompiler class MSVCCompiler(CCompiler): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/spawn.pyi0000644000175100017510000000047515112307767022270 0ustar00runnerrunnerfrom collections.abc import Iterable from typing import Literal def spawn( cmd: Iterable[str], search_path: bool | Literal[0, 1] = 1, verbose: bool | Literal[0, 1] = 0, dry_run: bool | Literal[0, 1] = 0, ) -> None: ... def find_executable(executable: str, path: str | None = None) -> str | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/sysconfig.pyi0000644000175100017510000000227215112307767023141 0ustar00runnerrunnerimport sys from collections.abc import Mapping from distutils.ccompiler import CCompiler from typing import Final, Literal, overload from typing_extensions import deprecated PREFIX: Final[str] EXEC_PREFIX: Final[str] BASE_PREFIX: Final[str] BASE_EXEC_PREFIX: Final[str] project_base: Final[str] python_build: Final[bool] def expand_makefile_vars(s: str, vars: Mapping[str, str]) -> str: ... @overload @deprecated("SO is deprecated, use EXT_SUFFIX. Support is removed in Python 3.11") def get_config_var(name: Literal["SO"]) -> int | str | None: ... @overload def get_config_var(name: str) -> int | str | None: ... @overload def get_config_vars() -> dict[str, str | int]: ... @overload def get_config_vars(arg: str, /, *args: str) -> list[str | int]: ... def get_config_h_filename() -> str: ... def get_makefile_filename() -> str: ... def get_python_inc(plat_specific: bool | Literal[0, 1] = 0, prefix: str | None = None) -> str: ... def get_python_lib( plat_specific: bool | Literal[0, 1] = 0, standard_lib: bool | Literal[0, 1] = 0, prefix: str | None = None ) -> str: ... def customize_compiler(compiler: CCompiler) -> None: ... if sys.version_info < (3, 10): def get_python_version() -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/text_file.pyi0000644000175100017510000000142315112307767023115 0ustar00runnerrunnerfrom typing import IO, Literal class TextFile: def __init__( self, filename: str | None = None, file: IO[str] | None = None, *, strip_comments: bool | Literal[0, 1] = ..., lstrip_ws: bool | Literal[0, 1] = ..., rstrip_ws: bool | Literal[0, 1] = ..., skip_blanks: bool | Literal[0, 1] = ..., join_lines: bool | Literal[0, 1] = ..., collapse_join: bool | Literal[0, 1] = ..., ) -> None: ... def open(self, filename: str) -> None: ... def close(self) -> None: ... def warn(self, msg: str, line: list[int] | tuple[int, int] | int | None = None) -> None: ... def readline(self) -> str | None: ... def readlines(self) -> list[str]: ... def unreadline(self, line: str) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/unixccompiler.pyi0000644000175100017510000000011715112307767024012 0ustar00runnerrunnerfrom distutils.ccompiler import CCompiler class UnixCCompiler(CCompiler): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/util.pyi0000644000175100017510000000331015112307767022104 0ustar00runnerrunnerfrom _typeshed import StrPath, Unused from collections.abc import Callable, Container, Iterable, Mapping from typing import Any, Literal from typing_extensions import TypeVarTuple, Unpack _Ts = TypeVarTuple("_Ts") def get_host_platform() -> str: ... def get_platform() -> str: ... def convert_path(pathname: str) -> str: ... def change_root(new_root: StrPath, pathname: StrPath) -> str: ... def check_environ() -> None: ... def subst_vars(s: str, local_vars: Mapping[str, str]) -> None: ... def split_quoted(s: str) -> list[str]: ... def execute( func: Callable[[Unpack[_Ts]], Unused], args: tuple[Unpack[_Ts]], msg: str | None = None, verbose: bool | Literal[0, 1] = 0, dry_run: bool | Literal[0, 1] = 0, ) -> None: ... def strtobool(val: str) -> Literal[0, 1]: ... def byte_compile( py_files: list[str], optimize: int = 0, force: bool | Literal[0, 1] = 0, prefix: str | None = None, base_dir: str | None = None, verbose: bool | Literal[0, 1] = 1, dry_run: bool | Literal[0, 1] = 0, direct: bool | None = None, ) -> None: ... def rfc822_escape(header: str) -> str: ... def run_2to3( files: Iterable[str], fixer_names: Iterable[str] | None = None, options: Mapping[str, Any] | None = None, explicit: Unused = None, ) -> None: ... def copydir_run_2to3( src: StrPath, dest: StrPath, template: str | None = None, fixer_names: Iterable[str] | None = None, options: Mapping[str, Any] | None = None, explicit: Container[str] | None = None, ) -> list[str]: ... class Mixin2to3: fixer_names: Iterable[str] | None options: Mapping[str, Any] | None explicit: Container[str] | None def run_2to3(self, files: Iterable[str]) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/distutils/version.pyi0000644000175100017510000000243415112307767022622 0ustar00runnerrunnerfrom abc import abstractmethod from re import Pattern from typing_extensions import Self class Version: def __eq__(self, other: object) -> bool: ... def __lt__(self, other: Self | str) -> bool: ... def __le__(self, other: Self | str) -> bool: ... def __gt__(self, other: Self | str) -> bool: ... def __ge__(self, other: Self | str) -> bool: ... @abstractmethod def __init__(self, vstring: str | None = None) -> None: ... @abstractmethod def parse(self, vstring: str) -> Self: ... @abstractmethod def __str__(self) -> str: ... @abstractmethod def _cmp(self, other: Self | str) -> bool: ... class StrictVersion(Version): version_re: Pattern[str] version: tuple[int, int, int] prerelease: tuple[str, int] | None def __init__(self, vstring: str | None = None) -> None: ... def parse(self, vstring: str) -> Self: ... def __str__(self) -> str: ... # noqa: Y029 def _cmp(self, other: Self | str) -> bool: ... class LooseVersion(Version): component_re: Pattern[str] vstring: str version: tuple[str | int, ...] def __init__(self, vstring: str | None = None) -> None: ... def parse(self, vstring: str) -> Self: ... def __str__(self) -> str: ... # noqa: Y029 def _cmp(self, other: Self | str) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/doctest.pyi0000644000175100017510000001737415112307767020567 0ustar00runnerrunnerimport sys import types import unittest from _typeshed import ExcInfo from collections.abc import Callable from typing import Any, Final, NamedTuple, type_check_only from typing_extensions import Self, TypeAlias __all__ = [ "register_optionflag", "DONT_ACCEPT_TRUE_FOR_1", "DONT_ACCEPT_BLANKLINE", "NORMALIZE_WHITESPACE", "ELLIPSIS", "SKIP", "IGNORE_EXCEPTION_DETAIL", "COMPARISON_FLAGS", "REPORT_UDIFF", "REPORT_CDIFF", "REPORT_NDIFF", "REPORT_ONLY_FIRST_FAILURE", "REPORTING_FLAGS", "FAIL_FAST", "Example", "DocTest", "DocTestParser", "DocTestFinder", "DocTestRunner", "OutputChecker", "DocTestFailure", "UnexpectedException", "DebugRunner", "testmod", "testfile", "run_docstring_examples", "DocTestSuite", "DocFileSuite", "set_unittest_reportflags", "script_from_examples", "testsource", "debug_src", "debug", ] if sys.version_info >= (3, 13): @type_check_only class _TestResultsBase(NamedTuple): failed: int attempted: int class TestResults(_TestResultsBase): def __new__(cls, failed: int, attempted: int, *, skipped: int = 0) -> Self: ... skipped: int else: class TestResults(NamedTuple): failed: int attempted: int OPTIONFLAGS_BY_NAME: Final[dict[str, int]] def register_optionflag(name: str) -> int: ... DONT_ACCEPT_TRUE_FOR_1: Final = 1 DONT_ACCEPT_BLANKLINE: Final = 2 NORMALIZE_WHITESPACE: Final = 4 ELLIPSIS: Final = 8 SKIP: Final = 16 IGNORE_EXCEPTION_DETAIL: Final = 32 COMPARISON_FLAGS: Final = 63 REPORT_UDIFF: Final = 64 REPORT_CDIFF: Final = 128 REPORT_NDIFF: Final = 256 REPORT_ONLY_FIRST_FAILURE: Final = 512 FAIL_FAST: Final = 1024 REPORTING_FLAGS: Final = 1984 BLANKLINE_MARKER: Final = "" ELLIPSIS_MARKER: Final = "..." class Example: source: str want: str exc_msg: str | None lineno: int indent: int options: dict[int, bool] def __init__( self, source: str, want: str, exc_msg: str | None = None, lineno: int = 0, indent: int = 0, options: dict[int, bool] | None = None, ) -> None: ... def __hash__(self) -> int: ... def __eq__(self, other: object) -> bool: ... class DocTest: examples: list[Example] globs: dict[str, Any] name: str filename: str | None lineno: int | None docstring: str | None def __init__( self, examples: list[Example], globs: dict[str, Any], name: str, filename: str | None, lineno: int | None, docstring: str | None, ) -> None: ... def __hash__(self) -> int: ... def __lt__(self, other: DocTest) -> bool: ... def __eq__(self, other: object) -> bool: ... class DocTestParser: def parse(self, string: str, name: str = "") -> list[str | Example]: ... def get_doctest(self, string: str, globs: dict[str, Any], name: str, filename: str | None, lineno: int | None) -> DocTest: ... def get_examples(self, string: str, name: str = "") -> list[Example]: ... class DocTestFinder: def __init__( self, verbose: bool = False, parser: DocTestParser = ..., recurse: bool = True, exclude_empty: bool = True ) -> None: ... def find( self, obj: object, name: str | None = None, module: None | bool | types.ModuleType = None, globs: dict[str, Any] | None = None, extraglobs: dict[str, Any] | None = None, ) -> list[DocTest]: ... _Out: TypeAlias = Callable[[str], object] class DocTestRunner: DIVIDER: str optionflags: int original_optionflags: int tries: int failures: int if sys.version_info >= (3, 13): skips: int test: DocTest def __init__(self, checker: OutputChecker | None = None, verbose: bool | None = None, optionflags: int = 0) -> None: ... def report_start(self, out: _Out, test: DocTest, example: Example) -> None: ... def report_success(self, out: _Out, test: DocTest, example: Example, got: str) -> None: ... def report_failure(self, out: _Out, test: DocTest, example: Example, got: str) -> None: ... def report_unexpected_exception(self, out: _Out, test: DocTest, example: Example, exc_info: ExcInfo) -> None: ... def run( self, test: DocTest, compileflags: int | None = None, out: _Out | None = None, clear_globs: bool = True ) -> TestResults: ... def summarize(self, verbose: bool | None = None) -> TestResults: ... def merge(self, other: DocTestRunner) -> None: ... class OutputChecker: def check_output(self, want: str, got: str, optionflags: int) -> bool: ... def output_difference(self, example: Example, got: str, optionflags: int) -> str: ... class DocTestFailure(Exception): test: DocTest example: Example got: str def __init__(self, test: DocTest, example: Example, got: str) -> None: ... class UnexpectedException(Exception): test: DocTest example: Example exc_info: ExcInfo def __init__(self, test: DocTest, example: Example, exc_info: ExcInfo) -> None: ... class DebugRunner(DocTestRunner): ... master: DocTestRunner | None def testmod( m: types.ModuleType | None = None, name: str | None = None, globs: dict[str, Any] | None = None, verbose: bool | None = None, report: bool = True, optionflags: int = 0, extraglobs: dict[str, Any] | None = None, raise_on_error: bool = False, exclude_empty: bool = False, ) -> TestResults: ... def testfile( filename: str, module_relative: bool = True, name: str | None = None, package: None | str | types.ModuleType = None, globs: dict[str, Any] | None = None, verbose: bool | None = None, report: bool = True, optionflags: int = 0, extraglobs: dict[str, Any] | None = None, raise_on_error: bool = False, parser: DocTestParser = ..., encoding: str | None = None, ) -> TestResults: ... def run_docstring_examples( f: object, globs: dict[str, Any], verbose: bool = False, name: str = "NoName", compileflags: int | None = None, optionflags: int = 0, ) -> None: ... def set_unittest_reportflags(flags: int) -> int: ... class DocTestCase(unittest.TestCase): def __init__( self, test: DocTest, optionflags: int = 0, setUp: Callable[[DocTest], object] | None = None, tearDown: Callable[[DocTest], object] | None = None, checker: OutputChecker | None = None, ) -> None: ... def runTest(self) -> None: ... def format_failure(self, err: str) -> str: ... def __hash__(self) -> int: ... def __eq__(self, other: object) -> bool: ... class SkipDocTestCase(DocTestCase): def __init__(self, module: types.ModuleType) -> None: ... def test_skip(self) -> None: ... class _DocTestSuite(unittest.TestSuite): ... def DocTestSuite( module: None | str | types.ModuleType = None, globs: dict[str, Any] | None = None, extraglobs: dict[str, Any] | None = None, test_finder: DocTestFinder | None = None, **options: Any, ) -> _DocTestSuite: ... class DocFileCase(DocTestCase): ... def DocFileTest( path: str, module_relative: bool = True, package: None | str | types.ModuleType = None, globs: dict[str, Any] | None = None, parser: DocTestParser = ..., encoding: str | None = None, **options: Any, ) -> DocFileCase: ... def DocFileSuite(*paths: str, **kw: Any) -> _DocTestSuite: ... def script_from_examples(s: str) -> str: ... def testsource(module: None | str | types.ModuleType, name: str) -> str: ... def debug_src(src: str, pm: bool = False, globs: dict[str, Any] | None = None) -> None: ... def debug_script(src: str, pm: bool = False, globs: dict[str, Any] | None = None) -> None: ... def debug(module: None | str | types.ModuleType, name: str, pm: bool = False) -> None: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.559765 mypy-1.19.0/mypy/typeshed/stdlib/email/0000755000175100017510000000000015112310012017423 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/__init__.pyi0000644000175100017510000000532115112307767021735 0ustar00runnerrunnerfrom collections.abc import Callable from email._policybase import _MessageT from email.message import Message from email.policy import Policy from typing import IO, overload from typing_extensions import TypeAlias # At runtime, listing submodules in __all__ without them being imported is # valid, and causes them to be included in a star import. See #6523 __all__ = [ # noqa: F822 # Undefined names in __all__ "base64mime", # pyright: ignore[reportUnsupportedDunderAll] "charset", # pyright: ignore[reportUnsupportedDunderAll] "encoders", # pyright: ignore[reportUnsupportedDunderAll] "errors", # pyright: ignore[reportUnsupportedDunderAll] "feedparser", # pyright: ignore[reportUnsupportedDunderAll] "generator", # pyright: ignore[reportUnsupportedDunderAll] "header", # pyright: ignore[reportUnsupportedDunderAll] "iterators", # pyright: ignore[reportUnsupportedDunderAll] "message", # pyright: ignore[reportUnsupportedDunderAll] "message_from_file", "message_from_binary_file", "message_from_string", "message_from_bytes", "mime", # pyright: ignore[reportUnsupportedDunderAll] "parser", # pyright: ignore[reportUnsupportedDunderAll] "quoprimime", # pyright: ignore[reportUnsupportedDunderAll] "utils", # pyright: ignore[reportUnsupportedDunderAll] ] # Definitions imported by multiple submodules in typeshed _ParamType: TypeAlias = str | tuple[str | None, str | None, str] # noqa: Y047 _ParamsType: TypeAlias = str | None | tuple[str, str | None, str] # noqa: Y047 @overload def message_from_string(s: str) -> Message: ... @overload def message_from_string(s: str, _class: Callable[[], _MessageT]) -> _MessageT: ... @overload def message_from_string(s: str, _class: Callable[[], _MessageT] = ..., *, policy: Policy[_MessageT]) -> _MessageT: ... @overload def message_from_bytes(s: bytes | bytearray) -> Message: ... @overload def message_from_bytes(s: bytes | bytearray, _class: Callable[[], _MessageT]) -> _MessageT: ... @overload def message_from_bytes( s: bytes | bytearray, _class: Callable[[], _MessageT] = ..., *, policy: Policy[_MessageT] ) -> _MessageT: ... @overload def message_from_file(fp: IO[str]) -> Message: ... @overload def message_from_file(fp: IO[str], _class: Callable[[], _MessageT]) -> _MessageT: ... @overload def message_from_file(fp: IO[str], _class: Callable[[], _MessageT] = ..., *, policy: Policy[_MessageT]) -> _MessageT: ... @overload def message_from_binary_file(fp: IO[bytes]) -> Message: ... @overload def message_from_binary_file(fp: IO[bytes], _class: Callable[[], _MessageT]) -> _MessageT: ... @overload def message_from_binary_file(fp: IO[bytes], _class: Callable[[], _MessageT] = ..., *, policy: Policy[_MessageT]) -> _MessageT: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/_header_value_parser.pyi0000644000175100017510000002624615112307767024346 0ustar00runnerrunnerfrom collections.abc import Iterable, Iterator from email.errors import HeaderParseError, MessageDefect from email.policy import Policy from re import Pattern from typing import Any, Final from typing_extensions import Self WSP: Final[set[str]] CFWS_LEADER: Final[set[str]] SPECIALS: Final[set[str]] ATOM_ENDS: Final[set[str]] DOT_ATOM_ENDS: Final[set[str]] PHRASE_ENDS: Final[set[str]] TSPECIALS: Final[set[str]] TOKEN_ENDS: Final[set[str]] ASPECIALS: Final[set[str]] ATTRIBUTE_ENDS: Final[set[str]] EXTENDED_ATTRIBUTE_ENDS: Final[set[str]] # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 NLSET: Final[set[str]] # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 SPECIALSNL: Final[set[str]] # Added in Python 3.9.23, 3.10.17, 3.11.12, 3.12.9, 3.13.2 def make_quoted_pairs(value: Any) -> str: ... def quote_string(value: Any) -> str: ... rfc2047_matcher: Final[Pattern[str]] class TokenList(list[TokenList | Terminal]): token_type: str | None syntactic_break: bool ew_combine_allowed: bool defects: list[MessageDefect] def __init__(self, *args: Any, **kw: Any) -> None: ... @property def value(self) -> str: ... @property def all_defects(self) -> list[MessageDefect]: ... def startswith_fws(self) -> bool: ... @property def as_ew_allowed(self) -> bool: ... @property def comments(self) -> list[str]: ... def fold(self, *, policy: Policy) -> str: ... def pprint(self, indent: str = "") -> None: ... def ppstr(self, indent: str = "") -> str: ... class WhiteSpaceTokenList(TokenList): ... class UnstructuredTokenList(TokenList): token_type: str class Phrase(TokenList): token_type: str class Word(TokenList): token_type: str class CFWSList(WhiteSpaceTokenList): token_type: str class Atom(TokenList): token_type: str class Token(TokenList): token_type: str encode_as_ew: bool class EncodedWord(TokenList): token_type: str cte: str | None charset: str | None lang: str | None class QuotedString(TokenList): token_type: str @property def content(self) -> str: ... @property def quoted_value(self) -> str: ... @property def stripped_value(self) -> str: ... class BareQuotedString(QuotedString): token_type: str class Comment(WhiteSpaceTokenList): token_type: str def quote(self, value: Any) -> str: ... @property def content(self) -> str: ... class AddressList(TokenList): token_type: str @property def addresses(self) -> list[Address]: ... @property def mailboxes(self) -> list[Mailbox]: ... @property def all_mailboxes(self) -> list[Mailbox]: ... class Address(TokenList): token_type: str @property def display_name(self) -> str: ... @property def mailboxes(self) -> list[Mailbox]: ... @property def all_mailboxes(self) -> list[Mailbox]: ... class MailboxList(TokenList): token_type: str @property def mailboxes(self) -> list[Mailbox]: ... @property def all_mailboxes(self) -> list[Mailbox]: ... class GroupList(TokenList): token_type: str @property def mailboxes(self) -> list[Mailbox]: ... @property def all_mailboxes(self) -> list[Mailbox]: ... class Group(TokenList): token_type: str @property def mailboxes(self) -> list[Mailbox]: ... @property def all_mailboxes(self) -> list[Mailbox]: ... @property def display_name(self) -> str: ... class NameAddr(TokenList): token_type: str @property def display_name(self) -> str: ... @property def local_part(self) -> str: ... @property def domain(self) -> str: ... @property def route(self) -> list[Domain] | None: ... @property def addr_spec(self) -> str: ... class AngleAddr(TokenList): token_type: str @property def local_part(self) -> str: ... @property def domain(self) -> str: ... @property def route(self) -> list[Domain] | None: ... @property def addr_spec(self) -> str: ... class ObsRoute(TokenList): token_type: str @property def domains(self) -> list[Domain]: ... class Mailbox(TokenList): token_type: str @property def display_name(self) -> str: ... @property def local_part(self) -> str: ... @property def domain(self) -> str: ... @property def route(self) -> list[str]: ... @property def addr_spec(self) -> str: ... class InvalidMailbox(TokenList): token_type: str @property def display_name(self) -> None: ... @property def local_part(self) -> None: ... @property def domain(self) -> None: ... @property def route(self) -> None: ... @property def addr_spec(self) -> None: ... class Domain(TokenList): token_type: str as_ew_allowed: bool @property def domain(self) -> str: ... class DotAtom(TokenList): token_type: str class DotAtomText(TokenList): token_type: str as_ew_allowed: bool class NoFoldLiteral(TokenList): token_type: str as_ew_allowed: bool class AddrSpec(TokenList): token_type: str as_ew_allowed: bool @property def local_part(self) -> str: ... @property def domain(self) -> str: ... @property def addr_spec(self) -> str: ... class ObsLocalPart(TokenList): token_type: str as_ew_allowed: bool class DisplayName(Phrase): token_type: str @property def display_name(self) -> str: ... class LocalPart(TokenList): token_type: str as_ew_allowed: bool @property def local_part(self) -> str: ... class DomainLiteral(TokenList): token_type: str as_ew_allowed: bool @property def domain(self) -> str: ... @property def ip(self) -> str: ... class MIMEVersion(TokenList): token_type: str major: int | None minor: int | None class Parameter(TokenList): token_type: str sectioned: bool extended: bool charset: str @property def section_number(self) -> int: ... @property def param_value(self) -> str: ... class InvalidParameter(Parameter): token_type: str class Attribute(TokenList): token_type: str @property def stripped_value(self) -> str: ... class Section(TokenList): token_type: str number: int | None class Value(TokenList): token_type: str @property def stripped_value(self) -> str: ... class MimeParameters(TokenList): token_type: str syntactic_break: bool @property def params(self) -> Iterator[tuple[str, str]]: ... class ParameterizedHeaderValue(TokenList): syntactic_break: bool @property def params(self) -> Iterable[tuple[str, str]]: ... class ContentType(ParameterizedHeaderValue): token_type: str as_ew_allowed: bool maintype: str subtype: str class ContentDisposition(ParameterizedHeaderValue): token_type: str as_ew_allowed: bool content_disposition: Any class ContentTransferEncoding(TokenList): token_type: str as_ew_allowed: bool cte: str class HeaderLabel(TokenList): token_type: str as_ew_allowed: bool class MsgID(TokenList): token_type: str as_ew_allowed: bool def fold(self, policy: Policy) -> str: ... class MessageID(MsgID): token_type: str class InvalidMessageID(MessageID): token_type: str class Header(TokenList): token_type: str class Terminal(str): as_ew_allowed: bool ew_combine_allowed: bool syntactic_break: bool token_type: str defects: list[MessageDefect] def __new__(cls, value: str, token_type: str) -> Self: ... def pprint(self) -> None: ... @property def all_defects(self) -> list[MessageDefect]: ... def pop_trailing_ws(self) -> None: ... @property def comments(self) -> list[str]: ... def __getnewargs__(self) -> tuple[str, str]: ... # type: ignore[override] class WhiteSpaceTerminal(Terminal): @property def value(self) -> str: ... def startswith_fws(self) -> bool: ... class ValueTerminal(Terminal): @property def value(self) -> ValueTerminal: ... def startswith_fws(self) -> bool: ... class EWWhiteSpaceTerminal(WhiteSpaceTerminal): ... class _InvalidEwError(HeaderParseError): ... DOT: Final[ValueTerminal] ListSeparator: Final[ValueTerminal] RouteComponentMarker: Final[ValueTerminal] def get_fws(value: str) -> tuple[WhiteSpaceTerminal, str]: ... def get_encoded_word(value: str, terminal_type: str = "vtext") -> tuple[EncodedWord, str]: ... def get_unstructured(value: str) -> UnstructuredTokenList: ... def get_qp_ctext(value: str) -> tuple[WhiteSpaceTerminal, str]: ... def get_qcontent(value: str) -> tuple[ValueTerminal, str]: ... def get_atext(value: str) -> tuple[ValueTerminal, str]: ... def get_bare_quoted_string(value: str) -> tuple[BareQuotedString, str]: ... def get_comment(value: str) -> tuple[Comment, str]: ... def get_cfws(value: str) -> tuple[CFWSList, str]: ... def get_quoted_string(value: str) -> tuple[QuotedString, str]: ... def get_atom(value: str) -> tuple[Atom, str]: ... def get_dot_atom_text(value: str) -> tuple[DotAtomText, str]: ... def get_dot_atom(value: str) -> tuple[DotAtom, str]: ... def get_word(value: str) -> tuple[Any, str]: ... def get_phrase(value: str) -> tuple[Phrase, str]: ... def get_local_part(value: str) -> tuple[LocalPart, str]: ... def get_obs_local_part(value: str) -> tuple[ObsLocalPart, str]: ... def get_dtext(value: str) -> tuple[ValueTerminal, str]: ... def get_domain_literal(value: str) -> tuple[DomainLiteral, str]: ... def get_domain(value: str) -> tuple[Domain, str]: ... def get_addr_spec(value: str) -> tuple[AddrSpec, str]: ... def get_obs_route(value: str) -> tuple[ObsRoute, str]: ... def get_angle_addr(value: str) -> tuple[AngleAddr, str]: ... def get_display_name(value: str) -> tuple[DisplayName, str]: ... def get_name_addr(value: str) -> tuple[NameAddr, str]: ... def get_mailbox(value: str) -> tuple[Mailbox, str]: ... def get_invalid_mailbox(value: str, endchars: str) -> tuple[InvalidMailbox, str]: ... def get_mailbox_list(value: str) -> tuple[MailboxList, str]: ... def get_group_list(value: str) -> tuple[GroupList, str]: ... def get_group(value: str) -> tuple[Group, str]: ... def get_address(value: str) -> tuple[Address, str]: ... def get_address_list(value: str) -> tuple[AddressList, str]: ... def get_no_fold_literal(value: str) -> tuple[NoFoldLiteral, str]: ... def get_msg_id(value: str) -> tuple[MsgID, str]: ... def parse_message_id(value: str) -> MessageID: ... def parse_mime_version(value: str) -> MIMEVersion: ... def get_invalid_parameter(value: str) -> tuple[InvalidParameter, str]: ... def get_ttext(value: str) -> tuple[ValueTerminal, str]: ... def get_token(value: str) -> tuple[Token, str]: ... def get_attrtext(value: str) -> tuple[ValueTerminal, str]: ... def get_attribute(value: str) -> tuple[Attribute, str]: ... def get_extended_attrtext(value: str) -> tuple[ValueTerminal, str]: ... def get_extended_attribute(value: str) -> tuple[Attribute, str]: ... def get_section(value: str) -> tuple[Section, str]: ... def get_value(value: str) -> tuple[Value, str]: ... def get_parameter(value: str) -> tuple[Parameter, str]: ... def parse_mime_parameters(value: str) -> MimeParameters: ... def parse_content_type_header(value: str) -> ContentType: ... def parse_content_disposition_header(value: str) -> ContentDisposition: ... def parse_content_transfer_encoding_header(value: str) -> ContentTransferEncoding: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/_policybase.pyi0000644000175100017510000000640315112307767022471 0ustar00runnerrunnerfrom abc import ABCMeta, abstractmethod from email.errors import MessageDefect from email.header import Header from email.message import Message from typing import Any, Generic, Protocol, TypeVar, type_check_only from typing_extensions import Self __all__ = ["Policy", "Compat32", "compat32"] _MessageT = TypeVar("_MessageT", bound=Message[Any, Any], default=Message[str, str]) _MessageT_co = TypeVar("_MessageT_co", covariant=True, bound=Message[Any, Any], default=Message[str, str]) @type_check_only class _MessageFactory(Protocol[_MessageT]): def __call__(self, policy: Policy[_MessageT]) -> _MessageT: ... # Policy below is the only known direct subclass of _PolicyBase. We therefore # assume that the __init__ arguments and attributes of _PolicyBase are # the same as those of Policy. class _PolicyBase(Generic[_MessageT_co]): max_line_length: int | None linesep: str cte_type: str raise_on_defect: bool mangle_from_: bool message_factory: _MessageFactory[_MessageT_co] | None # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 verify_generated_headers: bool def __init__( self, *, max_line_length: int | None = 78, linesep: str = "\n", cte_type: str = "8bit", raise_on_defect: bool = False, mangle_from_: bool = ..., # default depends on sub-class message_factory: _MessageFactory[_MessageT_co] | None = None, # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 verify_generated_headers: bool = True, ) -> None: ... def clone( self, *, max_line_length: int | None = ..., linesep: str = ..., cte_type: str = ..., raise_on_defect: bool = ..., mangle_from_: bool = ..., message_factory: _MessageFactory[_MessageT_co] | None = ..., # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 verify_generated_headers: bool = ..., ) -> Self: ... def __add__(self, other: Policy) -> Self: ... class Policy(_PolicyBase[_MessageT_co], metaclass=ABCMeta): # Every Message object has a `defects` attribute, so the following # methods will work for any Message object. def handle_defect(self, obj: Message[Any, Any], defect: MessageDefect) -> None: ... def register_defect(self, obj: Message[Any, Any], defect: MessageDefect) -> None: ... def header_max_count(self, name: str) -> int | None: ... @abstractmethod def header_source_parse(self, sourcelines: list[str]) -> tuple[str, str]: ... @abstractmethod def header_store_parse(self, name: str, value: str) -> tuple[str, str]: ... @abstractmethod def header_fetch_parse(self, name: str, value: str) -> str: ... @abstractmethod def fold(self, name: str, value: str) -> str: ... @abstractmethod def fold_binary(self, name: str, value: str) -> bytes: ... class Compat32(Policy[_MessageT_co]): def header_source_parse(self, sourcelines: list[str]) -> tuple[str, str]: ... def header_store_parse(self, name: str, value: str) -> tuple[str, str]: ... def header_fetch_parse(self, name: str, value: str) -> str | Header: ... # type: ignore[override] def fold(self, name: str, value: str) -> str: ... def fold_binary(self, name: str, value: str) -> bytes: ... compat32: Compat32[Message[str, str]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/base64mime.pyi0000644000175100017510000000105715112307767022134 0ustar00runnerrunner__all__ = ["body_decode", "body_encode", "decode", "decodestring", "header_encode", "header_length"] from _typeshed import ReadableBuffer def header_length(bytearray: str | bytes | bytearray) -> int: ... def header_encode(header_bytes: str | ReadableBuffer, charset: str = "iso-8859-1") -> str: ... # First argument should be a buffer that supports slicing and len(). def body_encode(s: bytes | bytearray, maxlinelen: int = 76, eol: str = "\n") -> str: ... def decode(string: str | ReadableBuffer) -> bytes: ... body_decode = decode decodestring = decode ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/charset.pyi0000644000175100017510000000326115112307767021630 0ustar00runnerrunnerfrom collections.abc import Callable, Iterator from email.message import Message from typing import ClassVar, Final, overload __all__ = ["Charset", "add_alias", "add_charset", "add_codec"] QP: Final = 1 # undocumented BASE64: Final = 2 # undocumented SHORTEST: Final = 3 # undocumented RFC2047_CHROME_LEN: Final = 7 # undocumented DEFAULT_CHARSET: Final = "us-ascii" # undocumented UNKNOWN8BIT: Final = "unknown-8bit" # undocumented EMPTYSTRING: Final = "" # undocumented CHARSETS: Final[dict[str, tuple[int | None, int | None, str | None]]] ALIASES: Final[dict[str, str]] CODEC_MAP: Final[dict[str, str | None]] # undocumented class Charset: input_charset: str header_encoding: int body_encoding: int output_charset: str | None input_codec: str | None output_codec: str | None def __init__(self, input_charset: str = "us-ascii") -> None: ... def get_body_encoding(self) -> str | Callable[[Message], None]: ... def get_output_charset(self) -> str | None: ... def header_encode(self, string: str) -> str: ... def header_encode_lines(self, string: str, maxlengths: Iterator[int]) -> list[str | None]: ... @overload def body_encode(self, string: None) -> None: ... @overload def body_encode(self, string: str | bytes) -> str: ... __hash__: ClassVar[None] # type: ignore[assignment] def __eq__(self, other: object) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def add_charset( charset: str, header_enc: int | None = None, body_enc: int | None = None, output_charset: str | None = None ) -> None: ... def add_alias(alias: str, canonical: str) -> None: ... def add_codec(charset: str, codecname: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/contentmanager.pyi0000644000175100017510000000074015112307767023203 0ustar00runnerrunnerfrom collections.abc import Callable from email.message import Message from typing import Any class ContentManager: def get_content(self, msg: Message, *args: Any, **kw: Any) -> Any: ... def set_content(self, msg: Message, obj: Any, *args: Any, **kw: Any) -> Any: ... def add_get_handler(self, key: str, handler: Callable[..., Any]) -> None: ... def add_set_handler(self, typekey: type, handler: Callable[..., Any]) -> None: ... raw_data_manager: ContentManager ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/encoders.pyi0000644000175100017510000000044515112307767022002 0ustar00runnerrunnerfrom email.message import Message __all__ = ["encode_7or8bit", "encode_base64", "encode_noop", "encode_quopri"] def encode_base64(msg: Message) -> None: ... def encode_quopri(msg: Message) -> None: ... def encode_7or8bit(msg: Message) -> None: ... def encode_noop(msg: Message) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/errors.pyi0000644000175100017510000000313315112307767021511 0ustar00runnerrunnerimport sys class MessageError(Exception): ... class MessageParseError(MessageError): ... class HeaderParseError(MessageParseError): ... class BoundaryError(MessageParseError): ... class MultipartConversionError(MessageError, TypeError): ... class CharsetError(MessageError): ... # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 class HeaderWriteError(MessageError): ... class MessageDefect(ValueError): def __init__(self, line: str | None = None) -> None: ... class NoBoundaryInMultipartDefect(MessageDefect): ... class StartBoundaryNotFoundDefect(MessageDefect): ... class FirstHeaderLineIsContinuationDefect(MessageDefect): ... class MisplacedEnvelopeHeaderDefect(MessageDefect): ... class MultipartInvariantViolationDefect(MessageDefect): ... class InvalidMultipartContentTransferEncodingDefect(MessageDefect): ... class UndecodableBytesDefect(MessageDefect): ... class InvalidBase64PaddingDefect(MessageDefect): ... class InvalidBase64CharactersDefect(MessageDefect): ... class InvalidBase64LengthDefect(MessageDefect): ... class CloseBoundaryNotFoundDefect(MessageDefect): ... class MissingHeaderBodySeparatorDefect(MessageDefect): ... MalformedHeaderDefect = MissingHeaderBodySeparatorDefect class HeaderDefect(MessageDefect): ... class InvalidHeaderDefect(HeaderDefect): ... class HeaderMissingRequiredValue(HeaderDefect): ... class NonPrintableDefect(HeaderDefect): def __init__(self, non_printables: str | None) -> None: ... class ObsoleteHeaderDefect(HeaderDefect): ... class NonASCIILocalPartDefect(HeaderDefect): ... if sys.version_info >= (3, 10): class InvalidDateDefect(HeaderDefect): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/feedparser.pyi0000644000175100017510000000172215112307767022317 0ustar00runnerrunnerfrom collections.abc import Callable from email._policybase import _MessageT from email.message import Message from email.policy import Policy from typing import Generic, overload __all__ = ["FeedParser", "BytesFeedParser"] class FeedParser(Generic[_MessageT]): @overload def __init__(self: FeedParser[Message], _factory: None = None, *, policy: Policy[Message] = ...) -> None: ... @overload def __init__(self, _factory: Callable[[], _MessageT], *, policy: Policy[_MessageT] = ...) -> None: ... def feed(self, data: str) -> None: ... def close(self) -> _MessageT: ... class BytesFeedParser(FeedParser[_MessageT]): @overload def __init__(self: BytesFeedParser[Message], _factory: None = None, *, policy: Policy[Message] = ...) -> None: ... @overload def __init__(self, _factory: Callable[[], _MessageT], *, policy: Policy[_MessageT] = ...) -> None: ... def feed(self, data: bytes | bytearray) -> None: ... # type: ignore[override] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/generator.pyi0000644000175100017510000000450515112307767022167 0ustar00runnerrunnerfrom _typeshed import SupportsWrite from email.message import Message from email.policy import Policy from typing import Any, Generic, TypeVar, overload from typing_extensions import Self __all__ = ["Generator", "DecodedGenerator", "BytesGenerator"] # By default, generators do not have a message policy. _MessageT = TypeVar("_MessageT", bound=Message[Any, Any], default=Any) class Generator(Generic[_MessageT]): maxheaderlen: int | None policy: Policy[_MessageT] | None @overload def __init__( self: Generator[Any], # The Policy of the message is used. outfp: SupportsWrite[str], mangle_from_: bool | None = None, maxheaderlen: int | None = None, *, policy: None = None, ) -> None: ... @overload def __init__( self, outfp: SupportsWrite[str], mangle_from_: bool | None = None, maxheaderlen: int | None = None, *, policy: Policy[_MessageT], ) -> None: ... def write(self, s: str) -> None: ... def flatten(self, msg: _MessageT, unixfrom: bool = False, linesep: str | None = None) -> None: ... def clone(self, fp: SupportsWrite[str]) -> Self: ... class BytesGenerator(Generator[_MessageT]): @overload def __init__( self: BytesGenerator[Any], # The Policy of the message is used. outfp: SupportsWrite[bytes], mangle_from_: bool | None = None, maxheaderlen: int | None = None, *, policy: None = None, ) -> None: ... @overload def __init__( self, outfp: SupportsWrite[bytes], mangle_from_: bool | None = None, maxheaderlen: int | None = None, *, policy: Policy[_MessageT], ) -> None: ... class DecodedGenerator(Generator[_MessageT]): @overload def __init__( self: DecodedGenerator[Any], # The Policy of the message is used. outfp: SupportsWrite[str], mangle_from_: bool | None = None, maxheaderlen: int | None = None, fmt: str | None = None, *, policy: None = None, ) -> None: ... @overload def __init__( self, outfp: SupportsWrite[str], mangle_from_: bool | None = None, maxheaderlen: int | None = None, fmt: str | None = None, *, policy: Policy[_MessageT], ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/header.pyi0000644000175100017510000000246415112307767021433 0ustar00runnerrunnerfrom collections.abc import Iterable from email.charset import Charset from typing import Any, ClassVar __all__ = ["Header", "decode_header", "make_header"] class Header: def __init__( self, s: bytes | bytearray | str | None = None, charset: Charset | str | None = None, maxlinelen: int | None = None, header_name: str | None = None, continuation_ws: str = " ", errors: str = "strict", ) -> None: ... def append(self, s: bytes | bytearray | str, charset: Charset | str | None = None, errors: str = "strict") -> None: ... def encode(self, splitchars: str = ";, \t", maxlinelen: int | None = None, linesep: str = "\n") -> str: ... __hash__: ClassVar[None] # type: ignore[assignment] def __eq__(self, other: object) -> bool: ... def __ne__(self, value: object, /) -> bool: ... # decode_header() either returns list[tuple[str, None]] if the header # contains no encoded parts, or list[tuple[bytes, str | None]] if the header # contains at least one encoded part. def decode_header(header: Header | str) -> list[tuple[Any, Any | None]]: ... def make_header( decoded_seq: Iterable[tuple[bytes | bytearray | str, str | None]], maxlinelen: int | None = None, header_name: str | None = None, continuation_ws: str = " ", ) -> Header: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/headerregistry.pyi0000644000175100017510000001421415112307767023220 0ustar00runnerrunnerimport types from collections.abc import Iterable, Mapping from datetime import datetime as _datetime from email._header_value_parser import ( AddressList, ContentDisposition, ContentTransferEncoding, ContentType, MessageID, MIMEVersion, TokenList, UnstructuredTokenList, ) from email.errors import MessageDefect from email.policy import Policy from typing import Any, ClassVar, Literal, Protocol, type_check_only from typing_extensions import Self class BaseHeader(str): # max_count is actually more of an abstract ClassVar (not defined on the base class, but expected to be defined in subclasses) max_count: ClassVar[Literal[1] | None] @property def name(self) -> str: ... @property def defects(self) -> tuple[MessageDefect, ...]: ... def __new__(cls, name: str, value: Any) -> Self: ... def init(self, name: str, *, parse_tree: TokenList, defects: Iterable[MessageDefect]) -> None: ... def fold(self, *, policy: Policy) -> str: ... class UnstructuredHeader: max_count: ClassVar[Literal[1] | None] @staticmethod def value_parser(value: str) -> UnstructuredTokenList: ... @classmethod def parse(cls, value: str, kwds: dict[str, Any]) -> None: ... class UniqueUnstructuredHeader(UnstructuredHeader): max_count: ClassVar[Literal[1]] class DateHeader: max_count: ClassVar[Literal[1] | None] def init(self, name: str, *, parse_tree: TokenList, defects: Iterable[MessageDefect], datetime: _datetime) -> None: ... @property def datetime(self) -> _datetime | None: ... @staticmethod def value_parser(value: str) -> UnstructuredTokenList: ... @classmethod def parse(cls, value: str | _datetime, kwds: dict[str, Any]) -> None: ... class UniqueDateHeader(DateHeader): max_count: ClassVar[Literal[1]] class AddressHeader: max_count: ClassVar[Literal[1] | None] def init(self, name: str, *, parse_tree: TokenList, defects: Iterable[MessageDefect], groups: Iterable[Group]) -> None: ... @property def groups(self) -> tuple[Group, ...]: ... @property def addresses(self) -> tuple[Address, ...]: ... @staticmethod def value_parser(value: str) -> AddressList: ... @classmethod def parse(cls, value: str, kwds: dict[str, Any]) -> None: ... class UniqueAddressHeader(AddressHeader): max_count: ClassVar[Literal[1]] class SingleAddressHeader(AddressHeader): @property def address(self) -> Address: ... class UniqueSingleAddressHeader(SingleAddressHeader): max_count: ClassVar[Literal[1]] class MIMEVersionHeader: max_count: ClassVar[Literal[1]] def init( self, name: str, *, parse_tree: TokenList, defects: Iterable[MessageDefect], version: str | None, major: int | None, minor: int | None, ) -> None: ... @property def version(self) -> str | None: ... @property def major(self) -> int | None: ... @property def minor(self) -> int | None: ... @staticmethod def value_parser(value: str) -> MIMEVersion: ... @classmethod def parse(cls, value: str, kwds: dict[str, Any]) -> None: ... class ParameterizedMIMEHeader: max_count: ClassVar[Literal[1]] def init(self, name: str, *, parse_tree: TokenList, defects: Iterable[MessageDefect], params: Mapping[str, Any]) -> None: ... @property def params(self) -> types.MappingProxyType[str, Any]: ... @classmethod def parse(cls, value: str, kwds: dict[str, Any]) -> None: ... class ContentTypeHeader(ParameterizedMIMEHeader): @property def content_type(self) -> str: ... @property def maintype(self) -> str: ... @property def subtype(self) -> str: ... @staticmethod def value_parser(value: str) -> ContentType: ... class ContentDispositionHeader(ParameterizedMIMEHeader): # init is redefined but has the same signature as parent class, so is omitted from the stub @property def content_disposition(self) -> str | None: ... @staticmethod def value_parser(value: str) -> ContentDisposition: ... class ContentTransferEncodingHeader: max_count: ClassVar[Literal[1]] def init(self, name: str, *, parse_tree: TokenList, defects: Iterable[MessageDefect]) -> None: ... @property def cte(self) -> str: ... @classmethod def parse(cls, value: str, kwds: dict[str, Any]) -> None: ... @staticmethod def value_parser(value: str) -> ContentTransferEncoding: ... class MessageIDHeader: max_count: ClassVar[Literal[1]] @classmethod def parse(cls, value: str, kwds: dict[str, Any]) -> None: ... @staticmethod def value_parser(value: str) -> MessageID: ... @type_check_only class _HeaderParser(Protocol): max_count: ClassVar[Literal[1] | None] @staticmethod def value_parser(value: str, /) -> TokenList: ... @classmethod def parse(cls, value: str, kwds: dict[str, Any], /) -> None: ... class HeaderRegistry: registry: dict[str, type[_HeaderParser]] base_class: type[BaseHeader] default_class: type[_HeaderParser] def __init__( self, base_class: type[BaseHeader] = ..., default_class: type[_HeaderParser] = ..., use_default_map: bool = True ) -> None: ... def map_to_type(self, name: str, cls: type[BaseHeader]) -> None: ... def __getitem__(self, name: str) -> type[BaseHeader]: ... def __call__(self, name: str, value: Any) -> BaseHeader: ... class Address: @property def display_name(self) -> str: ... @property def username(self) -> str: ... @property def domain(self) -> str: ... @property def addr_spec(self) -> str: ... def __init__( self, display_name: str = "", username: str | None = "", domain: str | None = "", addr_spec: str | None = None ) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __eq__(self, other: object) -> bool: ... class Group: @property def display_name(self) -> str | None: ... @property def addresses(self) -> tuple[Address, ...]: ... def __init__(self, display_name: str | None = None, addresses: Iterable[Address] | None = None) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __eq__(self, other: object) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/iterators.pyi0000644000175100017510000000121015112307767022203 0ustar00runnerrunnerfrom _typeshed import SupportsWrite from collections.abc import Iterator from email.message import Message __all__ = ["body_line_iterator", "typed_subpart_iterator", "walk"] def body_line_iterator(msg: Message, decode: bool = False) -> Iterator[str]: ... def typed_subpart_iterator(msg: Message, maintype: str = "text", subtype: str | None = None) -> Iterator[str]: ... def walk(self: Message) -> Iterator[Message]: ... # We include the seemingly private function because it is documented in the stdlib documentation. def _structure(msg: Message, fp: SupportsWrite[str] | None = None, level: int = 0, include_default: bool = False) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/message.pyi0000644000175100017510000002177215112307767021632 0ustar00runnerrunnerfrom _typeshed import MaybeNone from collections.abc import Generator, Iterator, Sequence from email import _ParamsType, _ParamType from email.charset import Charset from email.contentmanager import ContentManager from email.errors import MessageDefect from email.policy import Policy from typing import Any, Generic, Literal, Protocol, TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias __all__ = ["Message", "EmailMessage"] _T = TypeVar("_T") # Type returned by Policy.header_fetch_parse, often str or Header. _HeaderT_co = TypeVar("_HeaderT_co", covariant=True, default=str) _HeaderParamT_contra = TypeVar("_HeaderParamT_contra", contravariant=True, default=str) # Represents headers constructed by HeaderRegistry. Those are sub-classes # of BaseHeader and another header type. _HeaderRegistryT_co = TypeVar("_HeaderRegistryT_co", covariant=True, default=Any) _HeaderRegistryParamT_contra = TypeVar("_HeaderRegistryParamT_contra", contravariant=True, default=Any) _PayloadType: TypeAlias = Message | str _EncodedPayloadType: TypeAlias = Message | bytes _MultipartPayloadType: TypeAlias = list[_PayloadType] _CharsetType: TypeAlias = Charset | str | None @type_check_only class _SupportsEncodeToPayload(Protocol): def encode(self, encoding: str, /) -> _PayloadType | _MultipartPayloadType | _SupportsDecodeToPayload: ... @type_check_only class _SupportsDecodeToPayload(Protocol): def decode(self, encoding: str, errors: str, /) -> _PayloadType | _MultipartPayloadType: ... class Message(Generic[_HeaderT_co, _HeaderParamT_contra]): # The policy attributes and arguments in this class and its subclasses # would ideally use Policy[Self], but this is not possible. policy: Policy[Any] # undocumented preamble: str | None epilogue: str | None defects: list[MessageDefect] def __init__(self, policy: Policy[Any] = ...) -> None: ... def is_multipart(self) -> bool: ... def set_unixfrom(self, unixfrom: str) -> None: ... def get_unixfrom(self) -> str | None: ... def attach(self, payload: _PayloadType) -> None: ... # `i: int` without a multipart payload results in an error # `| MaybeNone` acts like `| Any`: can be None for cleared or unset payload, but annoying to check @overload # multipart def get_payload(self, i: int, decode: Literal[True]) -> None: ... @overload # multipart def get_payload(self, i: int, decode: Literal[False] = False) -> _PayloadType | MaybeNone: ... @overload # either def get_payload(self, i: None = None, decode: Literal[False] = False) -> _PayloadType | _MultipartPayloadType | MaybeNone: ... @overload # not multipart def get_payload(self, i: None = None, *, decode: Literal[True]) -> _EncodedPayloadType | MaybeNone: ... @overload # not multipart, IDEM but w/o kwarg def get_payload(self, i: None, decode: Literal[True]) -> _EncodedPayloadType | MaybeNone: ... # If `charset=None` and payload supports both `encode` AND `decode`, # then an invalid payload could be passed, but this is unlikely # Not[_SupportsEncodeToPayload] @overload def set_payload( self, payload: _SupportsDecodeToPayload | _PayloadType | _MultipartPayloadType, charset: None = None ) -> None: ... @overload def set_payload( self, payload: _SupportsEncodeToPayload | _SupportsDecodeToPayload | _PayloadType | _MultipartPayloadType, charset: Charset | str, ) -> None: ... def set_charset(self, charset: _CharsetType) -> None: ... def get_charset(self) -> _CharsetType: ... def __len__(self) -> int: ... def __contains__(self, name: str) -> bool: ... def __iter__(self) -> Iterator[str]: ... # Same as `get` with `failobj=None`, but with the expectation that it won't return None in most scenarios # This is important for protocols using __getitem__, like SupportsKeysAndGetItem # Morally, the return type should be `AnyOf[_HeaderType, None]`, # so using "the Any trick" instead. def __getitem__(self, name: str) -> _HeaderT_co | MaybeNone: ... def __setitem__(self, name: str, val: _HeaderParamT_contra) -> None: ... def __delitem__(self, name: str) -> None: ... def keys(self) -> list[str]: ... def values(self) -> list[_HeaderT_co]: ... def items(self) -> list[tuple[str, _HeaderT_co]]: ... @overload def get(self, name: str, failobj: None = None) -> _HeaderT_co | None: ... @overload def get(self, name: str, failobj: _T) -> _HeaderT_co | _T: ... @overload def get_all(self, name: str, failobj: None = None) -> list[_HeaderT_co] | None: ... @overload def get_all(self, name: str, failobj: _T) -> list[_HeaderT_co] | _T: ... def add_header(self, _name: str, _value: str, **_params: _ParamsType) -> None: ... def replace_header(self, _name: str, _value: _HeaderParamT_contra) -> None: ... def get_content_type(self) -> str: ... def get_content_maintype(self) -> str: ... def get_content_subtype(self) -> str: ... def get_default_type(self) -> str: ... def set_default_type(self, ctype: str) -> None: ... @overload def get_params( self, failobj: None = None, header: str = "content-type", unquote: bool = True ) -> list[tuple[str, str]] | None: ... @overload def get_params(self, failobj: _T, header: str = "content-type", unquote: bool = True) -> list[tuple[str, str]] | _T: ... @overload def get_param( self, param: str, failobj: None = None, header: str = "content-type", unquote: bool = True ) -> _ParamType | None: ... @overload def get_param(self, param: str, failobj: _T, header: str = "content-type", unquote: bool = True) -> _ParamType | _T: ... def del_param(self, param: str, header: str = "content-type", requote: bool = True) -> None: ... def set_type(self, type: str, header: str = "Content-Type", requote: bool = True) -> None: ... @overload def get_filename(self, failobj: None = None) -> str | None: ... @overload def get_filename(self, failobj: _T) -> str | _T: ... @overload def get_boundary(self, failobj: None = None) -> str | None: ... @overload def get_boundary(self, failobj: _T) -> str | _T: ... def set_boundary(self, boundary: str) -> None: ... @overload def get_content_charset(self) -> str | None: ... @overload def get_content_charset(self, failobj: _T) -> str | _T: ... @overload def get_charsets(self, failobj: None = None) -> list[str | None]: ... @overload def get_charsets(self, failobj: _T) -> list[str | _T]: ... def walk(self) -> Generator[Self, None, None]: ... def get_content_disposition(self) -> str | None: ... def as_string(self, unixfrom: bool = False, maxheaderlen: int = 0, policy: Policy[Any] | None = None) -> str: ... def as_bytes(self, unixfrom: bool = False, policy: Policy[Any] | None = None) -> bytes: ... def __bytes__(self) -> bytes: ... def set_param( self, param: str, value: str, header: str = "Content-Type", requote: bool = True, charset: str | None = None, language: str = "", replace: bool = False, ) -> None: ... # The following two methods are undocumented, but a source code comment states that they are public API def set_raw(self, name: str, value: _HeaderParamT_contra) -> None: ... def raw_items(self) -> Iterator[tuple[str, _HeaderT_co]]: ... class MIMEPart(Message[_HeaderRegistryT_co, _HeaderRegistryParamT_contra]): def __init__(self, policy: Policy[Any] | None = None) -> None: ... def get_body(self, preferencelist: Sequence[str] = ("related", "html", "plain")) -> MIMEPart[_HeaderRegistryT_co] | None: ... def attach(self, payload: Self) -> None: ... # type: ignore[override] # The attachments are created via type(self) in the attach method. It's theoretically # possible to sneak other attachment types into a MIMEPart instance, but could cause # cause unforseen consequences. def iter_attachments(self) -> Iterator[Self]: ... def iter_parts(self) -> Iterator[MIMEPart[_HeaderRegistryT_co]]: ... def get_content(self, *args: Any, content_manager: ContentManager | None = None, **kw: Any) -> Any: ... def set_content(self, *args: Any, content_manager: ContentManager | None = None, **kw: Any) -> None: ... def make_related(self, boundary: str | None = None) -> None: ... def make_alternative(self, boundary: str | None = None) -> None: ... def make_mixed(self, boundary: str | None = None) -> None: ... def add_related(self, *args: Any, content_manager: ContentManager | None = ..., **kw: Any) -> None: ... def add_alternative(self, *args: Any, content_manager: ContentManager | None = ..., **kw: Any) -> None: ... def add_attachment(self, *args: Any, content_manager: ContentManager | None = ..., **kw: Any) -> None: ... def clear(self) -> None: ... def clear_content(self) -> None: ... def as_string(self, unixfrom: bool = False, maxheaderlen: int | None = None, policy: Policy[Any] | None = None) -> str: ... def is_attachment(self) -> bool: ... class EmailMessage(MIMEPart): ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5617652 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/0000755000175100017510000000000015112310012020352 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/__init__.pyi0000644000175100017510000000000015112307767022651 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/application.pyi0000644000175100017510000000076215112307767023434 0ustar00runnerrunnerfrom collections.abc import Callable from email import _ParamsType from email.mime.nonmultipart import MIMENonMultipart from email.policy import Policy __all__ = ["MIMEApplication"] class MIMEApplication(MIMENonMultipart): def __init__( self, _data: str | bytes | bytearray, _subtype: str = "octet-stream", _encoder: Callable[[MIMEApplication], object] = ..., *, policy: Policy | None = None, **_params: _ParamsType, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/audio.pyi0000644000175100017510000000074215112307767022230 0ustar00runnerrunnerfrom collections.abc import Callable from email import _ParamsType from email.mime.nonmultipart import MIMENonMultipart from email.policy import Policy __all__ = ["MIMEAudio"] class MIMEAudio(MIMENonMultipart): def __init__( self, _audiodata: str | bytes | bytearray, _subtype: str | None = None, _encoder: Callable[[MIMEAudio], object] = ..., *, policy: Policy | None = None, **_params: _ParamsType, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/base.pyi0000644000175100017510000000041715112307767022040 0ustar00runnerrunnerimport email.message from email import _ParamsType from email.policy import Policy __all__ = ["MIMEBase"] class MIMEBase(email.message.Message): def __init__(self, _maintype: str, _subtype: str, *, policy: Policy | None = None, **_params: _ParamsType) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/image.pyi0000644000175100017510000000074215112307767022211 0ustar00runnerrunnerfrom collections.abc import Callable from email import _ParamsType from email.mime.nonmultipart import MIMENonMultipart from email.policy import Policy __all__ = ["MIMEImage"] class MIMEImage(MIMENonMultipart): def __init__( self, _imagedata: str | bytes | bytearray, _subtype: str | None = None, _encoder: Callable[[MIMEImage], object] = ..., *, policy: Policy | None = None, **_params: _ParamsType, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/message.pyi0000644000175100017510000000047115112307767022552 0ustar00runnerrunnerfrom email._policybase import _MessageT from email.mime.nonmultipart import MIMENonMultipart from email.policy import Policy __all__ = ["MIMEMessage"] class MIMEMessage(MIMENonMultipart): def __init__(self, _msg: _MessageT, _subtype: str = "rfc822", *, policy: Policy[_MessageT] | None = None) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/multipart.pyi0000644000175100017510000000077015112307767023151 0ustar00runnerrunnerfrom collections.abc import Sequence from email import _ParamsType from email._policybase import _MessageT from email.mime.base import MIMEBase from email.policy import Policy __all__ = ["MIMEMultipart"] class MIMEMultipart(MIMEBase): def __init__( self, _subtype: str = "mixed", boundary: str | None = None, _subparts: Sequence[_MessageT] | None = None, *, policy: Policy[_MessageT] | None = None, **_params: _ParamsType, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/nonmultipart.pyi0000644000175100017510000000015415112307767023660 0ustar00runnerrunnerfrom email.mime.base import MIMEBase __all__ = ["MIMENonMultipart"] class MIMENonMultipart(MIMEBase): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/mime/text.pyi0000644000175100017510000000045215112307767022111 0ustar00runnerrunnerfrom email._policybase import Policy from email.mime.nonmultipart import MIMENonMultipart __all__ = ["MIMEText"] class MIMEText(MIMENonMultipart): def __init__( self, _text: str, _subtype: str = "plain", _charset: str | None = None, *, policy: Policy | None = None ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/parser.pyi0000644000175100017510000000366715112307767021505 0ustar00runnerrunnerfrom _typeshed import SupportsRead from collections.abc import Callable from email._policybase import _MessageT from email.feedparser import BytesFeedParser as BytesFeedParser, FeedParser as FeedParser from email.message import Message from email.policy import Policy from io import _WrappedBuffer from typing import Generic, overload __all__ = ["Parser", "HeaderParser", "BytesParser", "BytesHeaderParser", "FeedParser", "BytesFeedParser"] class Parser(Generic[_MessageT]): @overload def __init__(self: Parser[Message[str, str]], _class: None = None) -> None: ... @overload def __init__(self, _class: None = None, *, policy: Policy[_MessageT]) -> None: ... @overload def __init__(self, _class: Callable[[], _MessageT] | None, *, policy: Policy[_MessageT] = ...) -> None: ... def parse(self, fp: SupportsRead[str], headersonly: bool = False) -> _MessageT: ... def parsestr(self, text: str, headersonly: bool = False) -> _MessageT: ... class HeaderParser(Parser[_MessageT]): def parse(self, fp: SupportsRead[str], headersonly: bool = True) -> _MessageT: ... def parsestr(self, text: str, headersonly: bool = True) -> _MessageT: ... class BytesParser(Generic[_MessageT]): parser: Parser[_MessageT] @overload def __init__(self: BytesParser[Message[str, str]], _class: None = None) -> None: ... @overload def __init__(self, _class: None = None, *, policy: Policy[_MessageT]) -> None: ... @overload def __init__(self, _class: Callable[[], _MessageT], *, policy: Policy[_MessageT] = ...) -> None: ... def parse(self, fp: _WrappedBuffer, headersonly: bool = False) -> _MessageT: ... def parsebytes(self, text: bytes | bytearray, headersonly: bool = False) -> _MessageT: ... class BytesHeaderParser(BytesParser[_MessageT]): def parse(self, fp: _WrappedBuffer, headersonly: bool = True) -> _MessageT: ... def parsebytes(self, text: bytes | bytearray, headersonly: bool = True) -> _MessageT: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/policy.pyi0000644000175100017510000000537515112307767021506 0ustar00runnerrunnerfrom collections.abc import Callable from email._policybase import Compat32 as Compat32, Policy as Policy, _MessageFactory, _MessageT, compat32 as compat32 from email.contentmanager import ContentManager from email.message import EmailMessage from typing import Any, overload from typing_extensions import Self __all__ = ["Compat32", "compat32", "Policy", "EmailPolicy", "default", "strict", "SMTP", "HTTP"] class EmailPolicy(Policy[_MessageT]): utf8: bool refold_source: str header_factory: Callable[[str, Any], Any] content_manager: ContentManager @overload def __init__( self: EmailPolicy[EmailMessage], *, max_line_length: int | None = ..., linesep: str = ..., cte_type: str = ..., raise_on_defect: bool = ..., mangle_from_: bool = ..., message_factory: None = None, # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 verify_generated_headers: bool = ..., utf8: bool = ..., refold_source: str = ..., header_factory: Callable[[str, str], str] = ..., content_manager: ContentManager = ..., ) -> None: ... @overload def __init__( self, *, max_line_length: int | None = ..., linesep: str = ..., cte_type: str = ..., raise_on_defect: bool = ..., mangle_from_: bool = ..., message_factory: _MessageFactory[_MessageT] | None = ..., # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 verify_generated_headers: bool = ..., utf8: bool = ..., refold_source: str = ..., header_factory: Callable[[str, str], str] = ..., content_manager: ContentManager = ..., ) -> None: ... def header_source_parse(self, sourcelines: list[str]) -> tuple[str, str]: ... def header_store_parse(self, name: str, value: Any) -> tuple[str, Any]: ... def header_fetch_parse(self, name: str, value: str) -> Any: ... def fold(self, name: str, value: str) -> Any: ... def fold_binary(self, name: str, value: str) -> bytes: ... def clone( self, *, max_line_length: int | None = ..., linesep: str = ..., cte_type: str = ..., raise_on_defect: bool = ..., mangle_from_: bool = ..., message_factory: _MessageFactory[_MessageT] | None = ..., # Added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 verify_generated_headers: bool = ..., utf8: bool = ..., refold_source: str = ..., header_factory: Callable[[str, str], str] = ..., content_manager: ContentManager = ..., ) -> Self: ... default: EmailPolicy[EmailMessage] SMTP: EmailPolicy[EmailMessage] SMTPUTF8: EmailPolicy[EmailMessage] HTTP: EmailPolicy[EmailMessage] strict: EmailPolicy[EmailMessage] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/quoprimime.pyi0000644000175100017510000000150315112307767022363 0ustar00runnerrunnerfrom collections.abc import Iterable __all__ = [ "body_decode", "body_encode", "body_length", "decode", "decodestring", "header_decode", "header_encode", "header_length", "quote", "unquote", ] def header_check(octet: int) -> bool: ... def body_check(octet: int) -> bool: ... def header_length(bytearray: Iterable[int]) -> int: ... def body_length(bytearray: Iterable[int]) -> int: ... def unquote(s: str | bytes | bytearray) -> str: ... def quote(c: str | bytes | bytearray) -> str: ... def header_encode(header_bytes: bytes | bytearray, charset: str = "iso-8859-1") -> str: ... def body_encode(body: str, maxlinelen: int = 76, eol: str = "\n") -> str: ... def decode(encoded: str, eol: str = "\n") -> str: ... def header_decode(s: str) -> str: ... body_decode = decode decodestring = decode ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/email/utils.pyi0000644000175100017510000000556215112307767021345 0ustar00runnerrunnerimport datetime import sys from _typeshed import Unused from collections.abc import Iterable from email import _ParamType from email.charset import Charset from typing import overload from typing_extensions import TypeAlias, deprecated __all__ = [ "collapse_rfc2231_value", "decode_params", "decode_rfc2231", "encode_rfc2231", "formataddr", "formatdate", "format_datetime", "getaddresses", "make_msgid", "mktime_tz", "parseaddr", "parsedate", "parsedate_tz", "parsedate_to_datetime", "unquote", ] _PDTZ: TypeAlias = tuple[int, int, int, int, int, int, int, int, int, int | None] def quote(str: str) -> str: ... def unquote(str: str) -> str: ... # `strict` parameter added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 def parseaddr(addr: str | list[str], *, strict: bool = True) -> tuple[str, str]: ... def formataddr(pair: tuple[str | None, str], charset: str | Charset = "utf-8") -> str: ... # `strict` parameter added in Python 3.9.20, 3.10.15, 3.11.10, 3.12.5 def getaddresses(fieldvalues: Iterable[str], *, strict: bool = True) -> list[tuple[str, str]]: ... @overload def parsedate(data: None) -> None: ... @overload def parsedate(data: str) -> tuple[int, int, int, int, int, int, int, int, int] | None: ... @overload def parsedate_tz(data: None) -> None: ... @overload def parsedate_tz(data: str) -> _PDTZ | None: ... if sys.version_info >= (3, 10): @overload def parsedate_to_datetime(data: None) -> None: ... @overload def parsedate_to_datetime(data: str) -> datetime.datetime: ... else: def parsedate_to_datetime(data: str) -> datetime.datetime: ... def mktime_tz(data: _PDTZ) -> int: ... def formatdate(timeval: float | None = None, localtime: bool = False, usegmt: bool = False) -> str: ... def format_datetime(dt: datetime.datetime, usegmt: bool = False) -> str: ... if sys.version_info >= (3, 14): def localtime(dt: datetime.datetime | None = None) -> datetime.datetime: ... elif sys.version_info >= (3, 12): @overload def localtime(dt: datetime.datetime | None = None) -> datetime.datetime: ... @overload @deprecated("The `isdst` parameter does nothing and will be removed in Python 3.14.") def localtime(dt: datetime.datetime | None = None, isdst: Unused = None) -> datetime.datetime: ... else: def localtime(dt: datetime.datetime | None = None, isdst: int = -1) -> datetime.datetime: ... def make_msgid(idstring: str | None = None, domain: str | None = None) -> str: ... def decode_rfc2231(s: str) -> tuple[str | None, str | None, str]: ... # May return list[str]. See issue #10431 for details. def encode_rfc2231(s: str, charset: str | None = None, language: str | None = None) -> str: ... def collapse_rfc2231_value(value: _ParamType, errors: str = "replace", fallback_charset: str = "us-ascii") -> str: ... def decode_params(params: list[tuple[str, str]]) -> list[tuple[str, _ParamType]]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5837653 mypy-1.19.0/mypy/typeshed/stdlib/encodings/0000755000175100017510000000000015112310012020305 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/__init__.pyi0000644000175100017510000000066315112307767022623 0ustar00runnerrunnerimport sys from codecs import CodecInfo class CodecRegistryError(LookupError, SystemError): ... def normalize_encoding(encoding: str | bytes) -> str: ... def search_function(encoding: str) -> CodecInfo | None: ... if sys.version_info >= (3, 14) and sys.platform == "win32": def win32_code_page_search_function(encoding: str) -> CodecInfo | None: ... # Needed for submodules def __getattr__(name: str): ... # incomplete module ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/aliases.pyi0000644000175100017510000000003015112307767022471 0ustar00runnerrunneraliases: dict[str, str] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/ascii.pyi0000644000175100017510000000250215112307767022146 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): # At runtime, this is codecs.ascii_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... # At runtime, this is codecs.ascii_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, /) -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... # Note: encode being a decode function and decode being an encode function is accurate to runtime. class StreamConverter(StreamWriter, StreamReader): # type: ignore[misc] # incompatible methods in base classes # At runtime, this is codecs.ascii_decode @staticmethod def encode(data: ReadableBuffer, errors: str | None = None, /) -> tuple[str, int]: ... # type: ignore[override] # At runtime, this is codecs.ascii_encode @staticmethod def decode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... # type: ignore[override] def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/base64_codec.pyi0000644000175100017510000000212115112307767023274 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer from typing import ClassVar # This codec is bytes to bytes. def base64_encode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... def base64_decode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... class Codec(codecs.Codec): def encode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class StreamWriter(Codec, codecs.StreamWriter): charbuffertype: ClassVar[type] = ... class StreamReader(Codec, codecs.StreamReader): charbuffertype: ClassVar[type] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/big5.pyi0000644000175100017510000000163015112307767021705 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/big5hkscs.pyi0000644000175100017510000000163015112307767022741 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/bz2_codec.pyi0000644000175100017510000000211315112307767022706 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer from typing import ClassVar # This codec is bytes to bytes. def bz2_encode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... def bz2_decode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... class Codec(codecs.Codec): def encode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class StreamWriter(Codec, codecs.StreamWriter): charbuffertype: ClassVar[type] = ... class StreamReader(Codec, codecs.StreamReader): charbuffertype: ClassVar[type] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/charmap.pyi0000644000175100017510000000316415112307767022476 0ustar00runnerrunnerimport codecs from _codecs import _CharMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): # At runtime, this is codecs.charmap_encode @staticmethod def encode(str: str, errors: str | None = None, mapping: _CharMap | None = None, /) -> tuple[bytes, int]: ... # At runtime, this is codecs.charmap_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, mapping: _CharMap | None = None, /) -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): mapping: _CharMap | None def __init__(self, errors: str = "strict", mapping: _CharMap | None = None) -> None: ... def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): mapping: _CharMap | None def __init__(self, errors: str = "strict", mapping: _CharMap | None = None) -> None: ... def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): mapping: _CharMap | None def __init__(self, stream: codecs._WritableStream, errors: str = "strict", mapping: _CharMap | None = None) -> None: ... def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] class StreamReader(Codec, codecs.StreamReader): mapping: _CharMap | None def __init__(self, stream: codecs._ReadableStream, errors: str = "strict", mapping: _CharMap | None = None) -> None: ... def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[str, int]: ... # type: ignore[override] def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp037.pyi0000644000175100017510000000133215112307767021712 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1006.pyi0000644000175100017510000000133215112307767021767 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1026.pyi0000644000175100017510000000133215112307767021771 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1125.pyi0000644000175100017510000000133515112307767021774 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1140.pyi0000644000175100017510000000133215112307767021766 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1250.pyi0000644000175100017510000000133215112307767021770 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1251.pyi0000644000175100017510000000133215112307767021771 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1252.pyi0000644000175100017510000000133215112307767021772 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1253.pyi0000644000175100017510000000133215112307767021773 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1254.pyi0000644000175100017510000000133215112307767021774 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1255.pyi0000644000175100017510000000133215112307767021775 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1256.pyi0000644000175100017510000000133215112307767021776 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1257.pyi0000644000175100017510000000133215112307767021777 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp1258.pyi0000644000175100017510000000133215112307767022000 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp273.pyi0000644000175100017510000000133215112307767021714 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp424.pyi0000644000175100017510000000133215112307767021712 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp437.pyi0000644000175100017510000000133515112307767021721 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp500.pyi0000644000175100017510000000133215112307767021705 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp720.pyi0000644000175100017510000000133215112307767021711 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp737.pyi0000644000175100017510000000133515112307767021724 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp775.pyi0000644000175100017510000000133515112307767021726 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp850.pyi0000644000175100017510000000133515112307767021720 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp852.pyi0000644000175100017510000000133515112307767021722 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp855.pyi0000644000175100017510000000133515112307767021725 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp856.pyi0000644000175100017510000000133215112307767021723 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp857.pyi0000644000175100017510000000133515112307767021727 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp858.pyi0000644000175100017510000000133515112307767021730 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp860.pyi0000644000175100017510000000133515112307767021721 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp861.pyi0000644000175100017510000000133515112307767021722 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp862.pyi0000644000175100017510000000133515112307767021723 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp863.pyi0000644000175100017510000000133515112307767021724 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp864.pyi0000644000175100017510000000133515112307767021725 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp865.pyi0000644000175100017510000000133515112307767021726 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp866.pyi0000644000175100017510000000133515112307767021727 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp869.pyi0000644000175100017510000000133515112307767021732 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp874.pyi0000644000175100017510000000133215112307767021723 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp875.pyi0000644000175100017510000000133215112307767021724 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp932.pyi0000644000175100017510000000163015112307767021717 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp949.pyi0000644000175100017510000000163015112307767021727 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/cp950.pyi0000644000175100017510000000163015112307767021717 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/euc_jis_2004.pyi0000644000175100017510000000163015112307767023145 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/euc_jisx0213.pyi0000644000175100017510000000163015112307767023176 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/euc_jp.pyi0000644000175100017510000000163015112307767022324 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/euc_kr.pyi0000644000175100017510000000163015112307767022327 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/gb18030.pyi0000644000175100017510000000163015112307767022043 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/gb2312.pyi0000644000175100017510000000163015112307767021757 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/gbk.pyi0000644000175100017510000000163015112307767021622 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/hex_codec.pyi0000644000175100017510000000211315112307767022775 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer from typing import ClassVar # This codec is bytes to bytes. def hex_encode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... def hex_decode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... class Codec(codecs.Codec): def encode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class StreamWriter(Codec, codecs.StreamWriter): charbuffertype: ClassVar[type] = ... class StreamReader(Codec, codecs.StreamReader): charbuffertype: ClassVar[type] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/hp_roman8.pyi0000644000175100017510000000133215112307767022751 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/hz.pyi0000644000175100017510000000163015112307767021500 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/idna.pyi0000644000175100017510000000163415112307767021776 0ustar00runnerrunnerimport codecs import re from _typeshed import ReadableBuffer dots: re.Pattern[str] ace_prefix: bytes sace_prefix: str def nameprep(label: str) -> str: ... def ToASCII(label: str) -> bytes: ... def ToUnicode(label: bytes | str) -> str: ... class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: ReadableBuffer | str, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.BufferedIncrementalEncoder): def _buffer_encode(self, input: str, errors: str, final: bool) -> tuple[bytes, int]: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): def _buffer_decode(self, input: ReadableBuffer | str, errors: str, final: bool) -> tuple[str, int]: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso2022_jp.pyi0000644000175100017510000000163015112307767022650 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso2022_jp_1.pyi0000644000175100017510000000163015112307767023070 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso2022_jp_2.pyi0000644000175100017510000000163015112307767023071 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso2022_jp_2004.pyi0000644000175100017510000000163015112307767023315 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso2022_jp_3.pyi0000644000175100017510000000163015112307767023072 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso2022_jp_ext.pyi0000644000175100017510000000163015112307767023530 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso2022_kr.pyi0000644000175100017510000000163015112307767022653 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_1.pyi0000644000175100017510000000133215112307767022426 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_10.pyi0000644000175100017510000000133215112307767022506 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_11.pyi0000644000175100017510000000133215112307767022507 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_13.pyi0000644000175100017510000000133215112307767022511 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_14.pyi0000644000175100017510000000133215112307767022512 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_15.pyi0000644000175100017510000000133215112307767022513 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_16.pyi0000644000175100017510000000133215112307767022514 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_2.pyi0000644000175100017510000000133215112307767022427 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_3.pyi0000644000175100017510000000133215112307767022430 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_4.pyi0000644000175100017510000000133215112307767022431 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_5.pyi0000644000175100017510000000133215112307767022432 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_6.pyi0000644000175100017510000000133215112307767022433 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_7.pyi0000644000175100017510000000133215112307767022434 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_8.pyi0000644000175100017510000000133215112307767022435 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/iso8859_9.pyi0000644000175100017510000000133215112307767022436 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/johab.pyi0000644000175100017510000000163015112307767022142 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/koi8_r.pyi0000644000175100017510000000133215112307767022251 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/koi8_t.pyi0000644000175100017510000000133215112307767022253 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/koi8_u.pyi0000644000175100017510000000133215112307767022254 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/kz1048.pyi0000644000175100017510000000133215112307767022017 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/latin_1.pyi0000644000175100017510000000251215112307767022406 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): # At runtime, this is codecs.latin_1_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... # At runtime, this is codecs.latin_1_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, /) -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... # Note: encode being a decode function and decode being an encode function is accurate to runtime. class StreamConverter(StreamWriter, StreamReader): # type: ignore[misc] # incompatible methods in base classes # At runtime, this is codecs.latin_1_decode @staticmethod def encode(data: ReadableBuffer, errors: str | None = None, /) -> tuple[str, int]: ... # type: ignore[override] # At runtime, this is codecs.latin_1_encode @staticmethod def decode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... # type: ignore[override] def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_arabic.pyi0000644000175100017510000000133515112307767023122 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_map: dict[int, int | None] decoding_table: str encoding_map: dict[int, int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_croatian.pyi0000644000175100017510000000133215112307767023476 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_cyrillic.pyi0000644000175100017510000000133215112307767023510 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_farsi.pyi0000644000175100017510000000133215112307767023002 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_greek.pyi0000644000175100017510000000133215112307767022773 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_iceland.pyi0000644000175100017510000000133215112307767023275 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_latin2.pyi0000644000175100017510000000133215112307767023067 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_roman.pyi0000644000175100017510000000133215112307767023012 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_romanian.pyi0000644000175100017510000000133215112307767023502 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mac_turkish.pyi0000644000175100017510000000133215112307767023367 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/mbcs.pyi0000644000175100017510000000210315112307767021777 0ustar00runnerrunnerimport codecs import sys from _typeshed import ReadableBuffer if sys.platform == "win32": encode = codecs.mbcs_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): # At runtime, this is codecs.mbcs_decode @staticmethod def _buffer_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): # At runtime, this is codecs.mbcs_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): # At runtime, this is codecs.mbcs_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/oem.pyi0000644000175100017510000000207715112307767021645 0ustar00runnerrunnerimport codecs import sys from _typeshed import ReadableBuffer if sys.platform == "win32": encode = codecs.oem_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): # At runtime, this is codecs.oem_decode @staticmethod def _buffer_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): # At runtime, this is codecs.oem_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): # At runtime, this is codecs.oem_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/palmos.pyi0000644000175100017510000000133215112307767022351 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/ptcp154.pyi0000644000175100017510000000133215112307767022256 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/punycode.pyi0000644000175100017510000000307115112307767022706 0ustar00runnerrunnerimport codecs from typing import Literal def segregate(str: str) -> tuple[bytes, list[int]]: ... def selective_len(str: str, max: int) -> int: ... def selective_find(str: str, char: str, index: int, pos: int) -> tuple[int, int]: ... def insertion_unsort(str: str, extended: list[int]) -> list[int]: ... def T(j: int, bias: int) -> int: ... digits: Literal[b"abcdefghijklmnopqrstuvwxyz0123456789"] def generate_generalized_integer(N: int, bias: int) -> bytes: ... def adapt(delta: int, first: bool, numchars: int) -> int: ... def generate_integers(baselen: int, deltas: list[int]) -> bytes: ... def punycode_encode(text: str) -> bytes: ... def decode_generalized_number(extended: bytes, extpos: int, bias: int, errors: str) -> tuple[int, int | None]: ... def insertion_sort(base: str, extended: bytes, errors: str) -> str: ... def punycode_decode(text: memoryview | bytes | bytearray | str, errors: str) -> str: ... class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: memoryview | bytes | bytearray | str, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: memoryview | bytes | bytearray | str, final: bool = False) -> str: ... # type: ignore[override] class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/quopri_codec.pyi0000644000175100017510000000212115112307767023527 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer from typing import ClassVar # This codec is bytes to bytes. def quopri_encode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... def quopri_decode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... class Codec(codecs.Codec): def encode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class StreamWriter(Codec, codecs.StreamWriter): charbuffertype: ClassVar[type] = ... class StreamReader(Codec, codecs.StreamReader): charbuffertype: ClassVar[type] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/raw_unicode_escape.pyi0000644000175100017510000000175015112307767024701 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): # At runtime, this is codecs.raw_unicode_escape_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... # At runtime, this is codecs.raw_unicode_escape_decode @staticmethod def decode(data: str | ReadableBuffer, errors: str | None = None, final: bool = True, /) -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): def _buffer_decode(self, input: str | ReadableBuffer, errors: str | None, final: bool) -> tuple[str, int]: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): def decode(self, input: str | ReadableBuffer, errors: str = "strict") -> tuple[str, int]: ... # type: ignore[override] def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/rot_13.pyi0000644000175100017510000000157115112307767022172 0ustar00runnerrunnerimport codecs from _typeshed import SupportsRead, SupportsWrite # This codec is string to string. class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[str, int]: ... # type: ignore[override] def decode(self, input: str, errors: str = "strict") -> tuple[str, int]: ... # type: ignore[override] class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> str: ... # type: ignore[override] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: str, final: bool = False) -> str: ... # type: ignore[override] class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... rot13_map: dict[int, int] def rot13(infile: SupportsRead[str], outfile: SupportsWrite[str]) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/shift_jis.pyi0000644000175100017510000000163015112307767023041 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/shift_jis_2004.pyi0000644000175100017510000000163015112307767023506 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/shift_jisx0213.pyi0000644000175100017510000000163015112307767023537 0ustar00runnerrunnerimport _multibytecodec as mbc import codecs from typing import ClassVar codec: mbc._MultibyteCodec class Codec(codecs.Codec): encode = codec.encode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] decode = codec.decode # type: ignore[assignment] # pyright: ignore[reportAssignmentType] class IncrementalEncoder(mbc.MultibyteIncrementalEncoder, codecs.IncrementalEncoder): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class IncrementalDecoder(mbc.MultibyteIncrementalDecoder, codecs.IncrementalDecoder): codec: ClassVar[mbc._MultibyteCodec] = ... class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader): # type: ignore[misc] codec: ClassVar[mbc._MultibyteCodec] = ... class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter): codec: ClassVar[mbc._MultibyteCodec] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/tis_620.pyi0000644000175100017510000000133215112307767022244 0ustar00runnerrunnerimport codecs from _codecs import _EncodingMap from _typeshed import ReadableBuffer class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: bytes, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... decoding_table: str encoding_table: _EncodingMap ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/undefined.pyi0000644000175100017510000000136315112307767023023 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer # These return types are just to match the base types. In reality, these always # raise an error. class Codec(codecs.Codec): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> str: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/unicode_escape.pyi0000644000175100017510000000174015112307767024027 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class Codec(codecs.Codec): # At runtime, this is codecs.unicode_escape_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... # At runtime, this is codecs.unicode_escape_decode @staticmethod def decode(data: str | ReadableBuffer, errors: str | None = None, final: bool = True, /) -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): def _buffer_decode(self, input: str | ReadableBuffer, errors: str | None, final: bool) -> tuple[str, int]: ... class StreamWriter(Codec, codecs.StreamWriter): ... class StreamReader(Codec, codecs.StreamReader): def decode(self, input: str | ReadableBuffer, errors: str = "strict") -> tuple[str, int]: ... # type: ignore[override] def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_16.pyi0000644000175100017510000000137115112307767022165 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer encode = codecs.utf_16_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): def _buffer_decode(self, input: ReadableBuffer, errors: str, final: bool) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_16_be.pyi0000644000175100017510000000175415112307767022640 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer encode = codecs.utf_16_be_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): # At runtime, this is codecs.utf_16_be_decode @staticmethod def _buffer_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): # At runtime, this is codecs.utf_16_be_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): # At runtime, this is codecs.utf_16_be_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_16_le.pyi0000644000175100017510000000175415112307767022652 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer encode = codecs.utf_16_le_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): # At runtime, this is codecs.utf_16_le_decode @staticmethod def _buffer_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): # At runtime, this is codecs.utf_16_le_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): # At runtime, this is codecs.utf_16_le_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_32.pyi0000644000175100017510000000137115112307767022163 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer encode = codecs.utf_32_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): def _buffer_decode(self, input: ReadableBuffer, errors: str, final: bool) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): def encode(self, input: str, errors: str = "strict") -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_32_be.pyi0000644000175100017510000000175415112307767022636 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer encode = codecs.utf_32_be_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): # At runtime, this is codecs.utf_32_be_decode @staticmethod def _buffer_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): # At runtime, this is codecs.utf_32_be_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): # At runtime, this is codecs.utf_32_be_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_32_le.pyi0000644000175100017510000000175415112307767022650 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer encode = codecs.utf_32_le_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): # At runtime, this is codecs.utf_32_le_decode @staticmethod def _buffer_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): # At runtime, this is codecs.utf_32_le_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): # At runtime, this is codecs.utf_32_le_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_7.pyi0000644000175100017510000000173415112307767022110 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer encode = codecs.utf_7_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): # At runtime, this is codecs.utf_7_decode @staticmethod def _buffer_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): # At runtime, this is codecs.utf_7_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): # At runtime, this is codecs.utf_7_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_8.pyi0000644000175100017510000000173415112307767022111 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer encode = codecs.utf_8_encode def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: ... class IncrementalDecoder(codecs.BufferedIncrementalDecoder): # At runtime, this is codecs.utf_8_decode @staticmethod def _buffer_decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): # At runtime, this is codecs.utf_8_encode @staticmethod def encode(str: str, errors: str | None = None, /) -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): # At runtime, this is codecs.utf_8_decode @staticmethod def decode(data: ReadableBuffer, errors: str | None = None, final: bool = False, /) -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/utf_8_sig.pyi0000644000175100017510000000204315112307767022745 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer class IncrementalEncoder(codecs.IncrementalEncoder): def __init__(self, errors: str = "strict") -> None: ... def encode(self, input: str, final: bool = False) -> bytes: ... def getstate(self) -> int: ... def setstate(self, state: int) -> None: ... # type: ignore[override] class IncrementalDecoder(codecs.BufferedIncrementalDecoder): def __init__(self, errors: str = "strict") -> None: ... def _buffer_decode(self, input: ReadableBuffer, errors: str | None, final: bool) -> tuple[str, int]: ... class StreamWriter(codecs.StreamWriter): def encode(self, input: str, errors: str | None = "strict") -> tuple[bytes, int]: ... class StreamReader(codecs.StreamReader): def decode(self, input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... def getregentry() -> codecs.CodecInfo: ... def encode(input: str, errors: str | None = "strict") -> tuple[bytes, int]: ... def decode(input: ReadableBuffer, errors: str | None = "strict") -> tuple[str, int]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/uu_codec.pyi0000644000175100017510000000217415112307767022651 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer from typing import ClassVar # This codec is bytes to bytes. def uu_encode( input: ReadableBuffer, errors: str = "strict", filename: str = "", mode: int = 0o666 ) -> tuple[bytes, int]: ... def uu_decode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... class Codec(codecs.Codec): def encode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class StreamWriter(Codec, codecs.StreamWriter): charbuffertype: ClassVar[type] = ... class StreamReader(Codec, codecs.StreamReader): charbuffertype: ClassVar[type] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/encodings/zlib_codec.pyi0000644000175100017510000000211515112307767023153 0ustar00runnerrunnerimport codecs from _typeshed import ReadableBuffer from typing import ClassVar # This codec is bytes to bytes. def zlib_encode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... def zlib_decode(input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... class Codec(codecs.Codec): def encode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] def decode(self, input: ReadableBuffer, errors: str = "strict") -> tuple[bytes, int]: ... # type: ignore[override] class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: ReadableBuffer, final: bool = False) -> bytes: ... # type: ignore[override] class StreamWriter(Codec, codecs.StreamWriter): charbuffertype: ClassVar[type] = ... class StreamReader(Codec, codecs.StreamReader): charbuffertype: ClassVar[type] = ... def getregentry() -> codecs.CodecInfo: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5837653 mypy-1.19.0/mypy/typeshed/stdlib/ensurepip/0000755000175100017510000000000015112310012020346 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ensurepip/__init__.pyi0000644000175100017510000000041015112307767022652 0ustar00runnerrunner__all__ = ["version", "bootstrap"] def version() -> str: ... def bootstrap( *, root: str | None = None, upgrade: bool = False, user: bool = False, altinstall: bool = False, default_pip: bool = False, verbosity: int = 0, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/enum.pyi0000644000175100017510000003210715112307767020055 0ustar00runnerrunnerimport _typeshed import sys import types from _typeshed import SupportsKeysAndGetItem, Unused from builtins import property as _builtins_property from collections.abc import Callable, Iterable, Iterator, Mapping from typing import Any, Final, Generic, Literal, TypeVar, overload from typing_extensions import Self, TypeAlias, disjoint_base __all__ = ["EnumMeta", "Enum", "IntEnum", "Flag", "IntFlag", "auto", "unique"] if sys.version_info >= (3, 11): __all__ += [ "CONFORM", "CONTINUOUS", "EJECT", "EnumCheck", "EnumType", "FlagBoundary", "KEEP", "NAMED_FLAGS", "ReprEnum", "STRICT", "StrEnum", "UNIQUE", "global_enum", "global_enum_repr", "global_flag_repr", "global_str", "member", "nonmember", "property", "verify", "pickle_by_enum_name", "pickle_by_global_name", ] if sys.version_info >= (3, 13): __all__ += ["EnumDict"] _EnumMemberT = TypeVar("_EnumMemberT") _EnumerationT = TypeVar("_EnumerationT", bound=type[Enum]) # The following all work: # >>> from enum import Enum # >>> from string import ascii_lowercase # >>> Enum('Foo', names='RED YELLOW GREEN') # # >>> Enum('Foo', names=[('RED', 1), ('YELLOW, 2)]) # # >>> Enum('Foo', names=((x for x in (ascii_lowercase[i], i)) for i in range(5))) # # >>> Enum('Foo', names={'RED': 1, 'YELLOW': 2}) # _EnumNames: TypeAlias = str | Iterable[str] | Iterable[Iterable[str | Any]] | Mapping[str, Any] _Signature: TypeAlias = Any # TODO: Unable to import Signature from inspect module if sys.version_info >= (3, 11): class nonmember(Generic[_EnumMemberT]): value: _EnumMemberT def __init__(self, value: _EnumMemberT) -> None: ... class member(Generic[_EnumMemberT]): value: _EnumMemberT def __init__(self, value: _EnumMemberT) -> None: ... class _EnumDict(dict[str, Any]): if sys.version_info >= (3, 13): def __init__(self, cls_name: str | None = None) -> None: ... else: def __init__(self) -> None: ... def __setitem__(self, key: str, value: Any) -> None: ... if sys.version_info >= (3, 11): # See comment above `typing.MutableMapping.update` # for why overloads are preferable to a Union here # # Unlike with MutableMapping.update(), the first argument is required, # hence the type: ignore @overload # type: ignore[override] def update(self, members: SupportsKeysAndGetItem[str, Any], **more_members: Any) -> None: ... @overload def update(self, members: Iterable[tuple[str, Any]], **more_members: Any) -> None: ... if sys.version_info >= (3, 13): @property def member_names(self) -> list[str]: ... if sys.version_info >= (3, 13): EnumDict = _EnumDict # Structurally: Iterable[T], Reversible[T], Container[T] where T is the enum itself class EnumMeta(type): if sys.version_info >= (3, 11): def __new__( metacls: type[_typeshed.Self], cls: str, bases: tuple[type, ...], classdict: _EnumDict, *, boundary: FlagBoundary | None = None, _simple: bool = False, **kwds: Any, ) -> _typeshed.Self: ... else: def __new__( metacls: type[_typeshed.Self], cls: str, bases: tuple[type, ...], classdict: _EnumDict, **kwds: Any ) -> _typeshed.Self: ... @classmethod def __prepare__(metacls, cls: str, bases: tuple[type, ...], **kwds: Any) -> _EnumDict: ... # type: ignore[override] def __iter__(self: type[_EnumMemberT]) -> Iterator[_EnumMemberT]: ... def __reversed__(self: type[_EnumMemberT]) -> Iterator[_EnumMemberT]: ... if sys.version_info >= (3, 12): def __contains__(self: type[Any], value: object) -> bool: ... elif sys.version_info >= (3, 11): def __contains__(self: type[Any], member: object) -> bool: ... elif sys.version_info >= (3, 10): def __contains__(self: type[Any], obj: object) -> bool: ... else: def __contains__(self: type[Any], member: object) -> bool: ... def __getitem__(self: type[_EnumMemberT], name: str) -> _EnumMemberT: ... @_builtins_property def __members__(self: type[_EnumMemberT]) -> types.MappingProxyType[str, _EnumMemberT]: ... def __len__(self) -> int: ... def __bool__(self) -> Literal[True]: ... def __dir__(self) -> list[str]: ... # Overload 1: Value lookup on an already existing enum class (simple case) @overload def __call__(cls: type[_EnumMemberT], value: Any, names: None = None) -> _EnumMemberT: ... # Overload 2: Functional API for constructing new enum classes. if sys.version_info >= (3, 11): @overload def __call__( cls, value: str, names: _EnumNames, *, module: str | None = None, qualname: str | None = None, type: type | None = None, start: int = 1, boundary: FlagBoundary | None = None, ) -> type[Enum]: ... else: @overload def __call__( cls, value: str, names: _EnumNames, *, module: str | None = None, qualname: str | None = None, type: type | None = None, start: int = 1, ) -> type[Enum]: ... # Overload 3 (py312+ only): Value lookup on an already existing enum class (complex case) # # >>> class Foo(enum.Enum): # ... X = 1, 2, 3 # >>> Foo(1, 2, 3) # # if sys.version_info >= (3, 12): @overload def __call__(cls: type[_EnumMemberT], value: Any, *values: Any) -> _EnumMemberT: ... if sys.version_info >= (3, 14): @property def __signature__(cls) -> _Signature: ... _member_names_: list[str] # undocumented _member_map_: dict[str, Enum] # undocumented _value2member_map_: dict[Any, Enum] # undocumented if sys.version_info >= (3, 11): # In 3.11 `EnumMeta` metaclass is renamed to `EnumType`, but old name also exists. EnumType = EnumMeta class property(types.DynamicClassAttribute): def __set_name__(self, ownerclass: type[Enum], name: str) -> None: ... name: str clsname: str member: Enum | None _magic_enum_attr = property else: _magic_enum_attr = types.DynamicClassAttribute class Enum(metaclass=EnumMeta): @_magic_enum_attr def name(self) -> str: ... @_magic_enum_attr def value(self) -> Any: ... _name_: str _value_: Any _ignore_: str | list[str] _order_: str __order__: str @classmethod def _missing_(cls, value: object) -> Any: ... @staticmethod def _generate_next_value_(name: str, start: int, count: int, last_values: list[Any]) -> Any: ... # It's not true that `__new__` will accept any argument type, # so ideally we'd use `Any` to indicate that the argument type is inexpressible. # However, using `Any` causes too many false-positives for those using mypy's `--disallow-any-expr` # (see #7752, #2539, mypy/#5788), # and in practice using `object` here has the same effect as using `Any`. def __new__(cls, value: object) -> Self: ... def __dir__(self) -> list[str]: ... def __hash__(self) -> int: ... def __format__(self, format_spec: str) -> str: ... def __reduce_ex__(self, proto: Unused) -> tuple[Any, ...]: ... if sys.version_info >= (3, 11): def __copy__(self) -> Self: ... def __deepcopy__(self, memo: Any) -> Self: ... if sys.version_info >= (3, 12) and sys.version_info < (3, 14): @classmethod def __signature__(cls) -> str: ... if sys.version_info >= (3, 13): # Value may be any type, even in special enums. Enabling Enum parsing from # multiple value types def _add_value_alias_(self, value: Any) -> None: ... def _add_alias_(self, name: str) -> None: ... if sys.version_info >= (3, 11): class ReprEnum(Enum): ... if sys.version_info >= (3, 12): class IntEnum(int, ReprEnum): _value_: int @_magic_enum_attr def value(self) -> int: ... def __new__(cls, value: int) -> Self: ... else: if sys.version_info >= (3, 11): _IntEnumBase = ReprEnum else: _IntEnumBase = Enum @disjoint_base class IntEnum(int, _IntEnumBase): _value_: int @_magic_enum_attr def value(self) -> int: ... def __new__(cls, value: int) -> Self: ... def unique(enumeration: _EnumerationT) -> _EnumerationT: ... _auto_null: Any class Flag(Enum): _name_: str | None # type: ignore[assignment] _value_: int @_magic_enum_attr def name(self) -> str | None: ... # type: ignore[override] @_magic_enum_attr def value(self) -> int: ... def __contains__(self, other: Self) -> bool: ... def __bool__(self) -> bool: ... def __or__(self, other: Self) -> Self: ... def __and__(self, other: Self) -> Self: ... def __xor__(self, other: Self) -> Self: ... def __invert__(self) -> Self: ... if sys.version_info >= (3, 11): def __iter__(self) -> Iterator[Self]: ... def __len__(self) -> int: ... __ror__ = __or__ __rand__ = __and__ __rxor__ = __xor__ if sys.version_info >= (3, 11): class StrEnum(str, ReprEnum): def __new__(cls, value: str) -> Self: ... _value_: str @_magic_enum_attr def value(self) -> str: ... @staticmethod def _generate_next_value_(name: str, start: int, count: int, last_values: list[str]) -> str: ... class EnumCheck(StrEnum): CONTINUOUS = "no skipped integer values" NAMED_FLAGS = "multi-flag aliases may not contain unnamed flags" UNIQUE = "one name per value" CONTINUOUS: Final = EnumCheck.CONTINUOUS NAMED_FLAGS: Final = EnumCheck.NAMED_FLAGS UNIQUE: Final = EnumCheck.UNIQUE class verify: def __init__(self, *checks: EnumCheck) -> None: ... def __call__(self, enumeration: _EnumerationT) -> _EnumerationT: ... class FlagBoundary(StrEnum): STRICT = "strict" CONFORM = "conform" EJECT = "eject" KEEP = "keep" STRICT: Final = FlagBoundary.STRICT CONFORM: Final = FlagBoundary.CONFORM EJECT: Final = FlagBoundary.EJECT KEEP: Final = FlagBoundary.KEEP def global_str(self: Enum) -> str: ... def global_enum(cls: _EnumerationT, update_str: bool = False) -> _EnumerationT: ... def global_enum_repr(self: Enum) -> str: ... def global_flag_repr(self: Flag) -> str: ... def show_flag_values(value: int) -> list[int]: ... if sys.version_info >= (3, 12): # The body of the class is the same, but the base classes are different. class IntFlag(int, ReprEnum, Flag, boundary=KEEP): # type: ignore[misc] # complaints about incompatible bases def __new__(cls, value: int) -> Self: ... def __or__(self, other: int) -> Self: ... def __and__(self, other: int) -> Self: ... def __xor__(self, other: int) -> Self: ... def __invert__(self) -> Self: ... __ror__ = __or__ __rand__ = __and__ __rxor__ = __xor__ elif sys.version_info >= (3, 11): # The body of the class is the same, but the base classes are different. @disjoint_base class IntFlag(int, ReprEnum, Flag, boundary=KEEP): # type: ignore[misc] # complaints about incompatible bases def __new__(cls, value: int) -> Self: ... def __or__(self, other: int) -> Self: ... def __and__(self, other: int) -> Self: ... def __xor__(self, other: int) -> Self: ... def __invert__(self) -> Self: ... __ror__ = __or__ __rand__ = __and__ __rxor__ = __xor__ else: @disjoint_base class IntFlag(int, Flag): # type: ignore[misc] # complaints about incompatible bases def __new__(cls, value: int) -> Self: ... def __or__(self, other: int) -> Self: ... def __and__(self, other: int) -> Self: ... def __xor__(self, other: int) -> Self: ... def __invert__(self) -> Self: ... __ror__ = __or__ __rand__ = __and__ __rxor__ = __xor__ class auto: _value_: Any @_magic_enum_attr def value(self) -> Any: ... def __new__(cls) -> Self: ... # These don't exist, but auto is basically immediately replaced with # either an int or a str depending on the type of the enum. StrEnum's auto # shouldn't have these, but they're needed for int versions of auto (mostly the __or__). # Ideally type checkers would special case auto enough to handle this, # but until then this is a slightly inaccurate helping hand. def __or__(self, other: int | Self) -> Self: ... def __and__(self, other: int | Self) -> Self: ... def __xor__(self, other: int | Self) -> Self: ... __ror__ = __or__ __rand__ = __and__ __rxor__ = __xor__ if sys.version_info >= (3, 11): def pickle_by_global_name(self: Enum, proto: int) -> str: ... def pickle_by_enum_name(self: _EnumMemberT, proto: int) -> tuple[Callable[..., Any], tuple[type[_EnumMemberT], str]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/errno.pyi0000644000175100017510000001262215112307767020236 0ustar00runnerrunnerimport sys from collections.abc import Mapping from typing import Final errorcode: Mapping[int, str] EPERM: Final[int] ENOENT: Final[int] ESRCH: Final[int] EINTR: Final[int] EIO: Final[int] ENXIO: Final[int] E2BIG: Final[int] ENOEXEC: Final[int] EBADF: Final[int] ECHILD: Final[int] EAGAIN: Final[int] ENOMEM: Final[int] EACCES: Final[int] EFAULT: Final[int] EBUSY: Final[int] EEXIST: Final[int] EXDEV: Final[int] ENODEV: Final[int] ENOTDIR: Final[int] EISDIR: Final[int] EINVAL: Final[int] ENFILE: Final[int] EMFILE: Final[int] ENOTTY: Final[int] ETXTBSY: Final[int] EFBIG: Final[int] ENOSPC: Final[int] ESPIPE: Final[int] EROFS: Final[int] EMLINK: Final[int] EPIPE: Final[int] EDOM: Final[int] ERANGE: Final[int] EDEADLK: Final[int] ENAMETOOLONG: Final[int] ENOLCK: Final[int] ENOSYS: Final[int] ENOTEMPTY: Final[int] ELOOP: Final[int] EWOULDBLOCK: Final[int] ENOMSG: Final[int] EIDRM: Final[int] ENOSTR: Final[int] ENODATA: Final[int] ETIME: Final[int] ENOSR: Final[int] EREMOTE: Final[int] ENOLINK: Final[int] EPROTO: Final[int] EBADMSG: Final[int] EOVERFLOW: Final[int] EILSEQ: Final[int] EUSERS: Final[int] ENOTSOCK: Final[int] EDESTADDRREQ: Final[int] EMSGSIZE: Final[int] EPROTOTYPE: Final[int] ENOPROTOOPT: Final[int] EPROTONOSUPPORT: Final[int] ESOCKTNOSUPPORT: Final[int] ENOTSUP: Final[int] EOPNOTSUPP: Final[int] EPFNOSUPPORT: Final[int] EAFNOSUPPORT: Final[int] EADDRINUSE: Final[int] EADDRNOTAVAIL: Final[int] ENETDOWN: Final[int] ENETUNREACH: Final[int] ENETRESET: Final[int] ECONNABORTED: Final[int] ECONNRESET: Final[int] ENOBUFS: Final[int] EISCONN: Final[int] ENOTCONN: Final[int] ESHUTDOWN: Final[int] ETOOMANYREFS: Final[int] ETIMEDOUT: Final[int] ECONNREFUSED: Final[int] EHOSTDOWN: Final[int] EHOSTUNREACH: Final[int] EALREADY: Final[int] EINPROGRESS: Final[int] ESTALE: Final[int] EDQUOT: Final[int] ECANCELED: Final[int] # undocumented ENOTRECOVERABLE: Final[int] # undocumented EOWNERDEAD: Final[int] # undocumented if sys.platform == "sunos5" or sys.platform == "solaris": # noqa: Y008 ELOCKUNMAPPED: Final[int] ENOTACTIVE: Final[int] if sys.platform != "win32": ENOTBLK: Final[int] EMULTIHOP: Final[int] if sys.platform == "darwin": # All of the below are undocumented EAUTH: Final[int] EBADARCH: Final[int] EBADEXEC: Final[int] EBADMACHO: Final[int] EBADRPC: Final[int] EDEVERR: Final[int] EFTYPE: Final[int] ENEEDAUTH: Final[int] ENOATTR: Final[int] ENOPOLICY: Final[int] EPROCLIM: Final[int] EPROCUNAVAIL: Final[int] EPROGMISMATCH: Final[int] EPROGUNAVAIL: Final[int] EPWROFF: Final[int] ERPCMISMATCH: Final[int] ESHLIBVERS: Final[int] if sys.version_info >= (3, 11): EQFULL: Final[int] ENOTCAPABLE: Final[int] # available starting with 3.11.1 if sys.platform != "darwin": EDEADLOCK: Final[int] if sys.platform != "win32" and sys.platform != "darwin": ECHRNG: Final[int] EL2NSYNC: Final[int] EL3HLT: Final[int] EL3RST: Final[int] ELNRNG: Final[int] EUNATCH: Final[int] ENOCSI: Final[int] EL2HLT: Final[int] EBADE: Final[int] EBADR: Final[int] EXFULL: Final[int] ENOANO: Final[int] EBADRQC: Final[int] EBADSLT: Final[int] EBFONT: Final[int] ENONET: Final[int] ENOPKG: Final[int] EADV: Final[int] ESRMNT: Final[int] ECOMM: Final[int] EDOTDOT: Final[int] ENOTUNIQ: Final[int] EBADFD: Final[int] EREMCHG: Final[int] ELIBACC: Final[int] ELIBBAD: Final[int] ELIBSCN: Final[int] ELIBMAX: Final[int] ELIBEXEC: Final[int] ERESTART: Final[int] ESTRPIPE: Final[int] EUCLEAN: Final[int] ENOTNAM: Final[int] ENAVAIL: Final[int] EISNAM: Final[int] EREMOTEIO: Final[int] # All of the below are undocumented EKEYEXPIRED: Final[int] EKEYREJECTED: Final[int] EKEYREVOKED: Final[int] EMEDIUMTYPE: Final[int] ENOKEY: Final[int] ENOMEDIUM: Final[int] ERFKILL: Final[int] if sys.version_info >= (3, 14): EHWPOISON: Final[int] if sys.platform == "win32": # All of these are undocumented WSABASEERR: Final[int] WSAEACCES: Final[int] WSAEADDRINUSE: Final[int] WSAEADDRNOTAVAIL: Final[int] WSAEAFNOSUPPORT: Final[int] WSAEALREADY: Final[int] WSAEBADF: Final[int] WSAECONNABORTED: Final[int] WSAECONNREFUSED: Final[int] WSAECONNRESET: Final[int] WSAEDESTADDRREQ: Final[int] WSAEDISCON: Final[int] WSAEDQUOT: Final[int] WSAEFAULT: Final[int] WSAEHOSTDOWN: Final[int] WSAEHOSTUNREACH: Final[int] WSAEINPROGRESS: Final[int] WSAEINTR: Final[int] WSAEINVAL: Final[int] WSAEISCONN: Final[int] WSAELOOP: Final[int] WSAEMFILE: Final[int] WSAEMSGSIZE: Final[int] WSAENAMETOOLONG: Final[int] WSAENETDOWN: Final[int] WSAENETRESET: Final[int] WSAENETUNREACH: Final[int] WSAENOBUFS: Final[int] WSAENOPROTOOPT: Final[int] WSAENOTCONN: Final[int] WSAENOTEMPTY: Final[int] WSAENOTSOCK: Final[int] WSAEOPNOTSUPP: Final[int] WSAEPFNOSUPPORT: Final[int] WSAEPROCLIM: Final[int] WSAEPROTONOSUPPORT: Final[int] WSAEPROTOTYPE: Final[int] WSAEREMOTE: Final[int] WSAESHUTDOWN: Final[int] WSAESOCKTNOSUPPORT: Final[int] WSAESTALE: Final[int] WSAETIMEDOUT: Final[int] WSAETOOMANYREFS: Final[int] WSAEUSERS: Final[int] WSAEWOULDBLOCK: Final[int] WSANOTINITIALISED: Final[int] WSASYSNOTREADY: Final[int] WSAVERNOTSUPPORTED: Final[int] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/faulthandler.pyi0000644000175100017510000000160315112307767021557 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptorLike def cancel_dump_traceback_later() -> None: ... def disable() -> None: ... def dump_traceback(file: FileDescriptorLike = ..., all_threads: bool = ...) -> None: ... if sys.version_info >= (3, 14): def dump_c_stack(file: FileDescriptorLike = ...) -> None: ... def dump_traceback_later(timeout: float, repeat: bool = ..., file: FileDescriptorLike = ..., exit: bool = ...) -> None: ... if sys.version_info >= (3, 14): def enable(file: FileDescriptorLike = ..., all_threads: bool = ..., c_stack: bool = True) -> None: ... else: def enable(file: FileDescriptorLike = ..., all_threads: bool = ...) -> None: ... def is_enabled() -> bool: ... if sys.platform != "win32": def register(signum: int, file: FileDescriptorLike = ..., all_threads: bool = ..., chain: bool = ...) -> None: ... def unregister(signum: int, /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/fcntl.pyi0000644000175100017510000001256715112307767020227 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptorLike, ReadOnlyBuffer, WriteableBuffer from typing import Any, Final, Literal, overload from typing_extensions import Buffer if sys.platform != "win32": FASYNC: Final[int] FD_CLOEXEC: Final[int] F_DUPFD: Final[int] F_DUPFD_CLOEXEC: Final[int] F_GETFD: Final[int] F_GETFL: Final[int] F_GETLK: Final[int] F_GETOWN: Final[int] F_RDLCK: Final[int] F_SETFD: Final[int] F_SETFL: Final[int] F_SETLK: Final[int] F_SETLKW: Final[int] F_SETOWN: Final[int] F_UNLCK: Final[int] F_WRLCK: Final[int] F_GETLEASE: Final[int] F_SETLEASE: Final[int] if sys.platform == "darwin": F_FULLFSYNC: Final[int] F_NOCACHE: Final[int] F_GETPATH: Final[int] if sys.platform == "linux": F_SETLKW64: Final[int] F_SETSIG: Final[int] F_SHLCK: Final[int] F_SETLK64: Final[int] F_GETSIG: Final[int] F_NOTIFY: Final[int] F_EXLCK: Final[int] F_GETLK64: Final[int] F_ADD_SEALS: Final[int] F_GET_SEALS: Final[int] F_SEAL_GROW: Final[int] F_SEAL_SEAL: Final[int] F_SEAL_SHRINK: Final[int] F_SEAL_WRITE: Final[int] F_OFD_GETLK: Final[int] F_OFD_SETLK: Final[int] F_OFD_SETLKW: Final[int] if sys.version_info >= (3, 10): F_GETPIPE_SZ: Final[int] F_SETPIPE_SZ: Final[int] DN_ACCESS: Final[int] DN_ATTRIB: Final[int] DN_CREATE: Final[int] DN_DELETE: Final[int] DN_MODIFY: Final[int] DN_MULTISHOT: Final[int] DN_RENAME: Final[int] LOCK_EX: Final[int] LOCK_NB: Final[int] LOCK_SH: Final[int] LOCK_UN: Final[int] if sys.platform == "linux": LOCK_MAND: Final[int] LOCK_READ: Final[int] LOCK_RW: Final[int] LOCK_WRITE: Final[int] if sys.platform == "linux": # Constants for the POSIX STREAMS interface. Present in glibc until 2.29 (released February 2019). # Never implemented on BSD, and considered "obsolescent" starting in POSIX 2008. # Probably still used on Solaris. I_ATMARK: Final[int] I_CANPUT: Final[int] I_CKBAND: Final[int] I_FDINSERT: Final[int] I_FIND: Final[int] I_FLUSH: Final[int] I_FLUSHBAND: Final[int] I_GETBAND: Final[int] I_GETCLTIME: Final[int] I_GETSIG: Final[int] I_GRDOPT: Final[int] I_GWROPT: Final[int] I_LINK: Final[int] I_LIST: Final[int] I_LOOK: Final[int] I_NREAD: Final[int] I_PEEK: Final[int] I_PLINK: Final[int] I_POP: Final[int] I_PUNLINK: Final[int] I_PUSH: Final[int] I_RECVFD: Final[int] I_SENDFD: Final[int] I_SETCLTIME: Final[int] I_SETSIG: Final[int] I_SRDOPT: Final[int] I_STR: Final[int] I_SWROPT: Final[int] I_UNLINK: Final[int] if sys.version_info >= (3, 12) and sys.platform == "linux": FICLONE: Final[int] FICLONERANGE: Final[int] if sys.version_info >= (3, 13) and sys.platform == "linux": F_OWNER_TID: Final = 0 F_OWNER_PID: Final = 1 F_OWNER_PGRP: Final = 2 F_SETOWN_EX: Final = 15 F_GETOWN_EX: Final = 16 F_SEAL_FUTURE_WRITE: Final = 16 F_GET_RW_HINT: Final = 1035 F_SET_RW_HINT: Final = 1036 F_GET_FILE_RW_HINT: Final = 1037 F_SET_FILE_RW_HINT: Final = 1038 RWH_WRITE_LIFE_NOT_SET: Final = 0 RWH_WRITE_LIFE_NONE: Final = 1 RWH_WRITE_LIFE_SHORT: Final = 2 RWH_WRITE_LIFE_MEDIUM: Final = 3 RWH_WRITE_LIFE_LONG: Final = 4 RWH_WRITE_LIFE_EXTREME: Final = 5 if sys.version_info >= (3, 11) and sys.platform == "darwin": F_OFD_SETLK: Final = 90 F_OFD_SETLKW: Final = 91 F_OFD_GETLK: Final = 92 if sys.version_info >= (3, 13) and sys.platform != "linux": # OSx and NetBSD F_GETNOSIGPIPE: Final[int] F_SETNOSIGPIPE: Final[int] # OSx and FreeBSD F_RDAHEAD: Final[int] @overload def fcntl(fd: FileDescriptorLike, cmd: int, arg: int = 0, /) -> int: ... @overload def fcntl(fd: FileDescriptorLike, cmd: int, arg: str | ReadOnlyBuffer, /) -> bytes: ... # If arg is an int, return int @overload def ioctl(fd: FileDescriptorLike, request: int, arg: int = 0, mutate_flag: bool = True, /) -> int: ... # The return type works as follows: # - If arg is a read-write buffer, return int if mutate_flag is True, otherwise bytes # - If arg is a read-only buffer, return bytes (and ignore the value of mutate_flag) # We can't represent that precisely as we can't distinguish between read-write and read-only # buffers, so we add overloads for a few unambiguous cases and use Any for the rest. @overload def ioctl(fd: FileDescriptorLike, request: int, arg: bytes, mutate_flag: bool = True, /) -> bytes: ... @overload def ioctl(fd: FileDescriptorLike, request: int, arg: WriteableBuffer, mutate_flag: Literal[False], /) -> bytes: ... @overload def ioctl(fd: FileDescriptorLike, request: int, arg: Buffer, mutate_flag: bool = True, /) -> Any: ... def flock(fd: FileDescriptorLike, operation: int, /) -> None: ... def lockf(fd: FileDescriptorLike, cmd: int, len: int = 0, start: int = 0, whence: int = 0, /) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/filecmp.pyi0000644000175100017510000000427515112307767020535 0ustar00runnerrunnerimport sys from _typeshed import GenericPath, StrOrBytesPath from collections.abc import Callable, Iterable, Sequence from types import GenericAlias from typing import Any, AnyStr, Final, Generic, Literal __all__ = ["clear_cache", "cmp", "dircmp", "cmpfiles", "DEFAULT_IGNORES"] DEFAULT_IGNORES: Final[list[str]] BUFSIZE: Final = 8192 def cmp(f1: StrOrBytesPath, f2: StrOrBytesPath, shallow: bool | Literal[0, 1] = True) -> bool: ... def cmpfiles( a: GenericPath[AnyStr], b: GenericPath[AnyStr], common: Iterable[GenericPath[AnyStr]], shallow: bool | Literal[0, 1] = True ) -> tuple[list[AnyStr], list[AnyStr], list[AnyStr]]: ... class dircmp(Generic[AnyStr]): if sys.version_info >= (3, 13): def __init__( self, a: GenericPath[AnyStr], b: GenericPath[AnyStr], ignore: Sequence[AnyStr] | None = None, hide: Sequence[AnyStr] | None = None, *, shallow: bool = True, ) -> None: ... else: def __init__( self, a: GenericPath[AnyStr], b: GenericPath[AnyStr], ignore: Sequence[AnyStr] | None = None, hide: Sequence[AnyStr] | None = None, ) -> None: ... left: AnyStr right: AnyStr hide: Sequence[AnyStr] ignore: Sequence[AnyStr] # These properties are created at runtime by __getattr__ subdirs: dict[AnyStr, dircmp[AnyStr]] same_files: list[AnyStr] diff_files: list[AnyStr] funny_files: list[AnyStr] common_dirs: list[AnyStr] common_files: list[AnyStr] common_funny: list[AnyStr] common: list[AnyStr] left_only: list[AnyStr] right_only: list[AnyStr] left_list: list[AnyStr] right_list: list[AnyStr] def report(self) -> None: ... def report_partial_closure(self) -> None: ... def report_full_closure(self) -> None: ... methodmap: dict[str, Callable[[], None]] def phase0(self) -> None: ... def phase1(self) -> None: ... def phase2(self) -> None: ... def phase3(self) -> None: ... def phase4(self) -> None: ... def phase4_closure(self) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def clear_cache() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/fileinput.pyi0000644000175100017510000001570215112307767021112 0ustar00runnerrunnerimport sys from _typeshed import AnyStr_co, StrOrBytesPath from collections.abc import Callable, Iterable, Iterator from types import GenericAlias, TracebackType from typing import IO, Any, AnyStr, Literal, Protocol, overload, type_check_only from typing_extensions import Self, TypeAlias __all__ = [ "input", "close", "nextfile", "filename", "lineno", "filelineno", "fileno", "isfirstline", "isstdin", "FileInput", "hook_compressed", "hook_encoded", ] if sys.version_info >= (3, 11): _TextMode: TypeAlias = Literal["r"] else: _TextMode: TypeAlias = Literal["r", "rU", "U"] @type_check_only class _HasReadlineAndFileno(Protocol[AnyStr_co]): def readline(self) -> AnyStr_co: ... def fileno(self) -> int: ... if sys.version_info >= (3, 10): # encoding and errors are added @overload def input( files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: _TextMode = "r", openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[str]] | None = None, encoding: str | None = None, errors: str | None = None, ) -> FileInput[str]: ... @overload def input( files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: Literal["rb"], openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[bytes]] | None = None, encoding: None = None, errors: None = None, ) -> FileInput[bytes]: ... @overload def input( files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: str, openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[Any]] | None = None, encoding: str | None = None, errors: str | None = None, ) -> FileInput[Any]: ... else: # bufsize is dropped and mode and openhook become keyword-only @overload def input( files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: _TextMode = "r", openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[str]] | None = None, ) -> FileInput[str]: ... @overload def input( files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: Literal["rb"], openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[bytes]] | None = None, ) -> FileInput[bytes]: ... @overload def input( files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: str, openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[Any]] | None = None, ) -> FileInput[Any]: ... def close() -> None: ... def nextfile() -> None: ... def filename() -> str: ... def lineno() -> int: ... def filelineno() -> int: ... def fileno() -> int: ... def isfirstline() -> bool: ... def isstdin() -> bool: ... class FileInput(Iterator[AnyStr]): if sys.version_info >= (3, 10): # encoding and errors are added @overload def __init__( self: FileInput[str], files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: _TextMode = "r", openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[str]] | None = None, encoding: str | None = None, errors: str | None = None, ) -> None: ... @overload def __init__( self: FileInput[bytes], files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: Literal["rb"], openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[bytes]] | None = None, encoding: None = None, errors: None = None, ) -> None: ... @overload def __init__( self: FileInput[Any], files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: str, openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[Any]] | None = None, encoding: str | None = None, errors: str | None = None, ) -> None: ... else: # bufsize is dropped and mode and openhook become keyword-only @overload def __init__( self: FileInput[str], files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: _TextMode = "r", openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[str]] | None = None, ) -> None: ... @overload def __init__( self: FileInput[bytes], files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: Literal["rb"], openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[bytes]] | None = None, ) -> None: ... @overload def __init__( self: FileInput[Any], files: StrOrBytesPath | Iterable[StrOrBytesPath] | None = None, inplace: bool = False, backup: str = "", *, mode: str, openhook: Callable[[StrOrBytesPath, str], _HasReadlineAndFileno[Any]] | None = None, ) -> None: ... def __del__(self) -> None: ... def close(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... def __iter__(self) -> Self: ... def __next__(self) -> AnyStr: ... if sys.version_info < (3, 11): def __getitem__(self, i: int) -> AnyStr: ... def nextfile(self) -> None: ... def readline(self) -> AnyStr: ... def filename(self) -> str: ... def lineno(self) -> int: ... def filelineno(self) -> int: ... def fileno(self) -> int: ... def isfirstline(self) -> bool: ... def isstdin(self) -> bool: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... if sys.version_info >= (3, 10): def hook_compressed( filename: StrOrBytesPath, mode: str, *, encoding: str | None = None, errors: str | None = None ) -> IO[Any]: ... else: def hook_compressed(filename: StrOrBytesPath, mode: str) -> IO[Any]: ... def hook_encoded(encoding: str, errors: str | None = None) -> Callable[[StrOrBytesPath, str], IO[Any]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/fnmatch.pyi0000644000175100017510000000101515112307767020523 0ustar00runnerrunnerimport sys from collections.abc import Iterable from typing import AnyStr __all__ = ["filter", "fnmatch", "fnmatchcase", "translate"] if sys.version_info >= (3, 14): __all__ += ["filterfalse"] def fnmatch(name: AnyStr, pat: AnyStr) -> bool: ... def fnmatchcase(name: AnyStr, pat: AnyStr) -> bool: ... def filter(names: Iterable[AnyStr], pat: AnyStr) -> list[AnyStr]: ... def translate(pat: str) -> str: ... if sys.version_info >= (3, 14): def filterfalse(names: Iterable[AnyStr], pat: AnyStr) -> list[AnyStr]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/formatter.pyi0000644000175100017510000000717715112307767021125 0ustar00runnerrunnerfrom collections.abc import Iterable from typing import IO, Any from typing_extensions import TypeAlias AS_IS: None _FontType: TypeAlias = tuple[str, bool, bool, bool] _StylesType: TypeAlias = tuple[Any, ...] class NullFormatter: writer: NullWriter | None def __init__(self, writer: NullWriter | None = None) -> None: ... def end_paragraph(self, blankline: int) -> None: ... def add_line_break(self) -> None: ... def add_hor_rule(self, *args: Any, **kw: Any) -> None: ... def add_label_data(self, format: str, counter: int, blankline: int | None = None) -> None: ... def add_flowing_data(self, data: str) -> None: ... def add_literal_data(self, data: str) -> None: ... def flush_softspace(self) -> None: ... def push_alignment(self, align: str | None) -> None: ... def pop_alignment(self) -> None: ... def push_font(self, x: _FontType) -> None: ... def pop_font(self) -> None: ... def push_margin(self, margin: int) -> None: ... def pop_margin(self) -> None: ... def set_spacing(self, spacing: str | None) -> None: ... def push_style(self, *styles: _StylesType) -> None: ... def pop_style(self, n: int = 1) -> None: ... def assert_line_data(self, flag: int = 1) -> None: ... class AbstractFormatter: writer: NullWriter align: str | None align_stack: list[str | None] font_stack: list[_FontType] margin_stack: list[int] spacing: str | None style_stack: Any nospace: int softspace: int para_end: int parskip: int hard_break: int have_label: int def __init__(self, writer: NullWriter) -> None: ... def end_paragraph(self, blankline: int) -> None: ... def add_line_break(self) -> None: ... def add_hor_rule(self, *args: Any, **kw: Any) -> None: ... def add_label_data(self, format: str, counter: int, blankline: int | None = None) -> None: ... def format_counter(self, format: Iterable[str], counter: int) -> str: ... def format_letter(self, case: str, counter: int) -> str: ... def format_roman(self, case: str, counter: int) -> str: ... def add_flowing_data(self, data: str) -> None: ... def add_literal_data(self, data: str) -> None: ... def flush_softspace(self) -> None: ... def push_alignment(self, align: str | None) -> None: ... def pop_alignment(self) -> None: ... def push_font(self, font: _FontType) -> None: ... def pop_font(self) -> None: ... def push_margin(self, margin: int) -> None: ... def pop_margin(self) -> None: ... def set_spacing(self, spacing: str | None) -> None: ... def push_style(self, *styles: _StylesType) -> None: ... def pop_style(self, n: int = 1) -> None: ... def assert_line_data(self, flag: int = 1) -> None: ... class NullWriter: def flush(self) -> None: ... def new_alignment(self, align: str | None) -> None: ... def new_font(self, font: _FontType) -> None: ... def new_margin(self, margin: int, level: int) -> None: ... def new_spacing(self, spacing: str | None) -> None: ... def new_styles(self, styles: tuple[Any, ...]) -> None: ... def send_paragraph(self, blankline: int) -> None: ... def send_line_break(self) -> None: ... def send_hor_rule(self, *args: Any, **kw: Any) -> None: ... def send_label_data(self, data: str) -> None: ... def send_flowing_data(self, data: str) -> None: ... def send_literal_data(self, data: str) -> None: ... class AbstractWriter(NullWriter): ... class DumbWriter(NullWriter): file: IO[str] maxcol: int def __init__(self, file: IO[str] | None = None, maxcol: int = 72) -> None: ... def reset(self) -> None: ... def test(file: str | None = None) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/fractions.pyi0000644000175100017510000001336715112307767021110 0ustar00runnerrunnerimport sys from collections.abc import Callable from decimal import Decimal from numbers import Rational, Real from typing import Any, Literal, Protocol, SupportsIndex, overload, type_check_only from typing_extensions import Self, TypeAlias _ComparableNum: TypeAlias = int | float | Decimal | Real __all__ = ["Fraction"] @type_check_only class _ConvertibleToIntegerRatio(Protocol): def as_integer_ratio(self) -> tuple[int | Rational, int | Rational]: ... class Fraction(Rational): __slots__ = ("_numerator", "_denominator") @overload def __new__(cls, numerator: int | Rational = 0, denominator: int | Rational | None = None) -> Self: ... @overload def __new__(cls, numerator: float | Decimal | str) -> Self: ... if sys.version_info >= (3, 14): @overload def __new__(cls, numerator: _ConvertibleToIntegerRatio) -> Self: ... @classmethod def from_float(cls, f: float) -> Self: ... @classmethod def from_decimal(cls, dec: Decimal) -> Self: ... def limit_denominator(self, max_denominator: int = 1000000) -> Fraction: ... def as_integer_ratio(self) -> tuple[int, int]: ... if sys.version_info >= (3, 12): def is_integer(self) -> bool: ... @property def numerator(a) -> int: ... @property def denominator(a) -> int: ... @overload def __add__(a, b: int | Fraction) -> Fraction: ... @overload def __add__(a, b: float) -> float: ... @overload def __add__(a, b: complex) -> complex: ... @overload def __radd__(b, a: int | Fraction) -> Fraction: ... @overload def __radd__(b, a: float) -> float: ... @overload def __radd__(b, a: complex) -> complex: ... @overload def __sub__(a, b: int | Fraction) -> Fraction: ... @overload def __sub__(a, b: float) -> float: ... @overload def __sub__(a, b: complex) -> complex: ... @overload def __rsub__(b, a: int | Fraction) -> Fraction: ... @overload def __rsub__(b, a: float) -> float: ... @overload def __rsub__(b, a: complex) -> complex: ... @overload def __mul__(a, b: int | Fraction) -> Fraction: ... @overload def __mul__(a, b: float) -> float: ... @overload def __mul__(a, b: complex) -> complex: ... @overload def __rmul__(b, a: int | Fraction) -> Fraction: ... @overload def __rmul__(b, a: float) -> float: ... @overload def __rmul__(b, a: complex) -> complex: ... @overload def __truediv__(a, b: int | Fraction) -> Fraction: ... @overload def __truediv__(a, b: float) -> float: ... @overload def __truediv__(a, b: complex) -> complex: ... @overload def __rtruediv__(b, a: int | Fraction) -> Fraction: ... @overload def __rtruediv__(b, a: float) -> float: ... @overload def __rtruediv__(b, a: complex) -> complex: ... @overload def __floordiv__(a, b: int | Fraction) -> int: ... @overload def __floordiv__(a, b: float) -> float: ... @overload def __rfloordiv__(b, a: int | Fraction) -> int: ... @overload def __rfloordiv__(b, a: float) -> float: ... @overload def __mod__(a, b: int | Fraction) -> Fraction: ... @overload def __mod__(a, b: float) -> float: ... @overload def __rmod__(b, a: int | Fraction) -> Fraction: ... @overload def __rmod__(b, a: float) -> float: ... @overload def __divmod__(a, b: int | Fraction) -> tuple[int, Fraction]: ... @overload def __divmod__(a, b: float) -> tuple[float, Fraction]: ... @overload def __rdivmod__(a, b: int | Fraction) -> tuple[int, Fraction]: ... @overload def __rdivmod__(a, b: float) -> tuple[float, Fraction]: ... if sys.version_info >= (3, 14): @overload def __pow__(a, b: int, modulo: None = None) -> Fraction: ... @overload def __pow__(a, b: float | Fraction, modulo: None = None) -> float: ... @overload def __pow__(a, b: complex, modulo: None = None) -> complex: ... else: @overload def __pow__(a, b: int) -> Fraction: ... @overload def __pow__(a, b: float | Fraction) -> float: ... @overload def __pow__(a, b: complex) -> complex: ... if sys.version_info >= (3, 14): @overload def __rpow__(b, a: float | Fraction, modulo: None = None) -> float: ... @overload def __rpow__(b, a: complex, modulo: None = None) -> complex: ... else: @overload def __rpow__(b, a: float | Fraction) -> float: ... @overload def __rpow__(b, a: complex) -> complex: ... def __pos__(a) -> Fraction: ... def __neg__(a) -> Fraction: ... def __abs__(a) -> Fraction: ... def __trunc__(a) -> int: ... def __floor__(a) -> int: ... def __ceil__(a) -> int: ... @overload def __round__(self, ndigits: None = None) -> int: ... @overload def __round__(self, ndigits: int) -> Fraction: ... def __hash__(self) -> int: ... # type: ignore[override] def __eq__(a, b: object) -> bool: ... def __lt__(a, b: _ComparableNum) -> bool: ... def __gt__(a, b: _ComparableNum) -> bool: ... def __le__(a, b: _ComparableNum) -> bool: ... def __ge__(a, b: _ComparableNum) -> bool: ... def __bool__(a) -> bool: ... def __copy__(self) -> Self: ... def __deepcopy__(self, memo: Any) -> Self: ... if sys.version_info >= (3, 11): def __int__(a, _index: Callable[[SupportsIndex], int] = ...) -> int: ... # Not actually defined within fractions.py, but provides more useful # overrides @property def real(self) -> Fraction: ... @property def imag(self) -> Literal[0]: ... def conjugate(self) -> Fraction: ... if sys.version_info >= (3, 14): @classmethod def from_number(cls, number: float | Rational | _ConvertibleToIntegerRatio) -> Self: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ftplib.pyi0000644000175100017510000001313215112307767020366 0ustar00runnerrunnerimport sys from _typeshed import SupportsRead, SupportsReadline from collections.abc import Callable, Iterable, Iterator from socket import socket from ssl import SSLContext from types import TracebackType from typing import Any, Final, Literal, TextIO from typing_extensions import Self __all__ = ["FTP", "error_reply", "error_temp", "error_perm", "error_proto", "all_errors", "FTP_TLS"] MSG_OOB: Final = 1 FTP_PORT: Final = 21 MAXLINE: Final = 8192 CRLF: Final = "\r\n" B_CRLF: Final = b"\r\n" class Error(Exception): ... class error_reply(Error): ... class error_temp(Error): ... class error_perm(Error): ... class error_proto(Error): ... all_errors: tuple[type[Exception], ...] class FTP: debugging: int host: str port: int maxline: int sock: socket | None welcome: str | None passiveserver: int timeout: float | None af: int lastresp: str file: TextIO | None encoding: str def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... source_address: tuple[str, int] | None def __init__( self, host: str = "", user: str = "", passwd: str = "", acct: str = "", timeout: float | None = ..., source_address: tuple[str, int] | None = None, *, encoding: str = "utf-8", ) -> None: ... def connect( self, host: str = "", port: int = 0, timeout: float = -999, source_address: tuple[str, int] | None = None ) -> str: ... def getwelcome(self) -> str: ... def set_debuglevel(self, level: int) -> None: ... def debug(self, level: int) -> None: ... def set_pasv(self, val: bool | Literal[0, 1]) -> None: ... def sanitize(self, s: str) -> str: ... def putline(self, line: str) -> None: ... def putcmd(self, line: str) -> None: ... def getline(self) -> str: ... def getmultiline(self) -> str: ... def getresp(self) -> str: ... def voidresp(self) -> str: ... def abort(self) -> str: ... def sendcmd(self, cmd: str) -> str: ... def voidcmd(self, cmd: str) -> str: ... def sendport(self, host: str, port: int) -> str: ... def sendeprt(self, host: str, port: int) -> str: ... def makeport(self) -> socket: ... def makepasv(self) -> tuple[str, int]: ... def login(self, user: str = "", passwd: str = "", acct: str = "") -> str: ... # In practice, `rest` can actually be anything whose str() is an integer sequence, so to make it simple we allow integers def ntransfercmd(self, cmd: str, rest: int | str | None = None) -> tuple[socket, int | None]: ... def transfercmd(self, cmd: str, rest: int | str | None = None) -> socket: ... def retrbinary( self, cmd: str, callback: Callable[[bytes], object], blocksize: int = 8192, rest: int | str | None = None ) -> str: ... def storbinary( self, cmd: str, fp: SupportsRead[bytes], blocksize: int = 8192, callback: Callable[[bytes], object] | None = None, rest: int | str | None = None, ) -> str: ... def retrlines(self, cmd: str, callback: Callable[[str], object] | None = None) -> str: ... def storlines(self, cmd: str, fp: SupportsReadline[bytes], callback: Callable[[bytes], object] | None = None) -> str: ... def acct(self, password: str) -> str: ... def nlst(self, *args: str) -> list[str]: ... # Technically only the last arg can be a Callable but ... def dir(self, *args: str | Callable[[str], object]) -> None: ... def mlsd(self, path: str = "", facts: Iterable[str] = []) -> Iterator[tuple[str, dict[str, str]]]: ... def rename(self, fromname: str, toname: str) -> str: ... def delete(self, filename: str) -> str: ... def cwd(self, dirname: str) -> str: ... def size(self, filename: str) -> int | None: ... def mkd(self, dirname: str) -> str: ... def rmd(self, dirname: str) -> str: ... def pwd(self) -> str: ... def quit(self) -> str: ... def close(self) -> None: ... class FTP_TLS(FTP): if sys.version_info >= (3, 12): def __init__( self, host: str = "", user: str = "", passwd: str = "", acct: str = "", *, context: SSLContext | None = None, timeout: float | None = ..., source_address: tuple[str, int] | None = None, encoding: str = "utf-8", ) -> None: ... else: def __init__( self, host: str = "", user: str = "", passwd: str = "", acct: str = "", keyfile: str | None = None, certfile: str | None = None, context: SSLContext | None = None, timeout: float | None = ..., source_address: tuple[str, int] | None = None, *, encoding: str = "utf-8", ) -> None: ... ssl_version: int keyfile: str | None certfile: str | None context: SSLContext def login(self, user: str = "", passwd: str = "", acct: str = "", secure: bool = True) -> str: ... def auth(self) -> str: ... def prot_p(self) -> str: ... def prot_c(self) -> str: ... def ccc(self) -> str: ... def parse150(resp: str) -> int | None: ... # undocumented def parse227(resp: str) -> tuple[str, int]: ... # undocumented def parse229(resp: str, peer: Any) -> tuple[str, int]: ... # undocumented def parse257(resp: str) -> str: ... # undocumented def ftpcp( source: FTP, sourcename: str, target: FTP, targetname: str = "", type: Literal["A", "I"] = "I" ) -> None: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/functools.pyi0000644000175100017510000002320315112307767021122 0ustar00runnerrunnerimport sys import types from _typeshed import SupportsAllComparisons, SupportsItems from collections.abc import Callable, Hashable, Iterable, Sized from types import GenericAlias from typing import Any, Final, Generic, Literal, NamedTuple, TypedDict, TypeVar, final, overload, type_check_only from typing_extensions import ParamSpec, Self, TypeAlias, disjoint_base __all__ = [ "update_wrapper", "wraps", "WRAPPER_ASSIGNMENTS", "WRAPPER_UPDATES", "total_ordering", "cmp_to_key", "lru_cache", "reduce", "partial", "partialmethod", "singledispatch", "cached_property", "singledispatchmethod", "cache", ] _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _S = TypeVar("_S") _PWrapped = ParamSpec("_PWrapped") _RWrapped = TypeVar("_RWrapped") _PWrapper = ParamSpec("_PWrapper") _RWrapper = TypeVar("_RWrapper") if sys.version_info >= (3, 14): @overload def reduce(function: Callable[[_T, _S], _T], iterable: Iterable[_S], /, initial: _T) -> _T: ... else: @overload def reduce(function: Callable[[_T, _S], _T], iterable: Iterable[_S], initial: _T, /) -> _T: ... @overload def reduce(function: Callable[[_T, _T], _T], iterable: Iterable[_T], /) -> _T: ... class _CacheInfo(NamedTuple): hits: int misses: int maxsize: int | None currsize: int @type_check_only class _CacheParameters(TypedDict): maxsize: int typed: bool @final class _lru_cache_wrapper(Generic[_T]): __wrapped__: Callable[..., _T] def __call__(self, *args: Hashable, **kwargs: Hashable) -> _T: ... def cache_info(self) -> _CacheInfo: ... def cache_clear(self) -> None: ... def cache_parameters(self) -> _CacheParameters: ... def __copy__(self) -> _lru_cache_wrapper[_T]: ... def __deepcopy__(self, memo: Any, /) -> _lru_cache_wrapper[_T]: ... @overload def lru_cache(maxsize: int | None = 128, typed: bool = False) -> Callable[[Callable[..., _T]], _lru_cache_wrapper[_T]]: ... @overload def lru_cache(maxsize: Callable[..., _T], typed: bool = False) -> _lru_cache_wrapper[_T]: ... if sys.version_info >= (3, 14): WRAPPER_ASSIGNMENTS: Final[ tuple[ Literal["__module__"], Literal["__name__"], Literal["__qualname__"], Literal["__doc__"], Literal["__annotate__"], Literal["__type_params__"], ] ] elif sys.version_info >= (3, 12): WRAPPER_ASSIGNMENTS: Final[ tuple[ Literal["__module__"], Literal["__name__"], Literal["__qualname__"], Literal["__doc__"], Literal["__annotations__"], Literal["__type_params__"], ] ] else: WRAPPER_ASSIGNMENTS: Final[ tuple[Literal["__module__"], Literal["__name__"], Literal["__qualname__"], Literal["__doc__"], Literal["__annotations__"]] ] WRAPPER_UPDATES: Final[tuple[Literal["__dict__"]]] @type_check_only class _Wrapped(Generic[_PWrapped, _RWrapped, _PWrapper, _RWrapper]): __wrapped__: Callable[_PWrapped, _RWrapped] def __call__(self, *args: _PWrapper.args, **kwargs: _PWrapper.kwargs) -> _RWrapper: ... # as with ``Callable``, we'll assume that these attributes exist __name__: str __qualname__: str @type_check_only class _Wrapper(Generic[_PWrapped, _RWrapped]): def __call__(self, f: Callable[_PWrapper, _RWrapper]) -> _Wrapped[_PWrapped, _RWrapped, _PWrapper, _RWrapper]: ... if sys.version_info >= (3, 14): def update_wrapper( wrapper: Callable[_PWrapper, _RWrapper], wrapped: Callable[_PWrapped, _RWrapped], assigned: Iterable[str] = ("__module__", "__name__", "__qualname__", "__doc__", "__annotate__", "__type_params__"), updated: Iterable[str] = ("__dict__",), ) -> _Wrapped[_PWrapped, _RWrapped, _PWrapper, _RWrapper]: ... def wraps( wrapped: Callable[_PWrapped, _RWrapped], assigned: Iterable[str] = ("__module__", "__name__", "__qualname__", "__doc__", "__annotate__", "__type_params__"), updated: Iterable[str] = ("__dict__",), ) -> _Wrapper[_PWrapped, _RWrapped]: ... elif sys.version_info >= (3, 12): def update_wrapper( wrapper: Callable[_PWrapper, _RWrapper], wrapped: Callable[_PWrapped, _RWrapped], assigned: Iterable[str] = ("__module__", "__name__", "__qualname__", "__doc__", "__annotations__", "__type_params__"), updated: Iterable[str] = ("__dict__",), ) -> _Wrapped[_PWrapped, _RWrapped, _PWrapper, _RWrapper]: ... def wraps( wrapped: Callable[_PWrapped, _RWrapped], assigned: Iterable[str] = ("__module__", "__name__", "__qualname__", "__doc__", "__annotations__", "__type_params__"), updated: Iterable[str] = ("__dict__",), ) -> _Wrapper[_PWrapped, _RWrapped]: ... else: def update_wrapper( wrapper: Callable[_PWrapper, _RWrapper], wrapped: Callable[_PWrapped, _RWrapped], assigned: Iterable[str] = ("__module__", "__name__", "__qualname__", "__doc__", "__annotations__"), updated: Iterable[str] = ("__dict__",), ) -> _Wrapped[_PWrapped, _RWrapped, _PWrapper, _RWrapper]: ... def wraps( wrapped: Callable[_PWrapped, _RWrapped], assigned: Iterable[str] = ("__module__", "__name__", "__qualname__", "__doc__", "__annotations__"), updated: Iterable[str] = ("__dict__",), ) -> _Wrapper[_PWrapped, _RWrapped]: ... def total_ordering(cls: type[_T]) -> type[_T]: ... def cmp_to_key(mycmp: Callable[[_T, _T], int]) -> Callable[[_T], SupportsAllComparisons]: ... @disjoint_base class partial(Generic[_T]): @property def func(self) -> Callable[..., _T]: ... @property def args(self) -> tuple[Any, ...]: ... @property def keywords(self) -> dict[str, Any]: ... def __new__(cls, func: Callable[..., _T], /, *args: Any, **kwargs: Any) -> Self: ... def __call__(self, /, *args: Any, **kwargs: Any) -> _T: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... # With protocols, this could change into a generic protocol that defines __get__ and returns _T _Descriptor: TypeAlias = Any class partialmethod(Generic[_T]): func: Callable[..., _T] | _Descriptor args: tuple[Any, ...] keywords: dict[str, Any] if sys.version_info >= (3, 14): @overload def __new__(self, func: Callable[..., _T], /, *args: Any, **keywords: Any) -> Self: ... @overload def __new__(self, func: _Descriptor, /, *args: Any, **keywords: Any) -> Self: ... else: @overload def __init__(self, func: Callable[..., _T], /, *args: Any, **keywords: Any) -> None: ... @overload def __init__(self, func: _Descriptor, /, *args: Any, **keywords: Any) -> None: ... def __get__(self, obj: Any, cls: type[Any] | None = None) -> Callable[..., _T]: ... @property def __isabstractmethod__(self) -> bool: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... if sys.version_info >= (3, 11): _RegType: TypeAlias = type[Any] | types.UnionType else: _RegType: TypeAlias = type[Any] @type_check_only class _SingleDispatchCallable(Generic[_T]): registry: types.MappingProxyType[Any, Callable[..., _T]] def dispatch(self, cls: Any) -> Callable[..., _T]: ... # @fun.register(complex) # def _(arg, verbose=False): ... @overload def register(self, cls: _RegType, func: None = None) -> Callable[[Callable[..., _T]], Callable[..., _T]]: ... # @fun.register # def _(arg: int, verbose=False): @overload def register(self, cls: Callable[..., _T], func: None = None) -> Callable[..., _T]: ... # fun.register(int, lambda x: x) @overload def register(self, cls: _RegType, func: Callable[..., _T]) -> Callable[..., _T]: ... def _clear_cache(self) -> None: ... def __call__(self, /, *args: Any, **kwargs: Any) -> _T: ... def singledispatch(func: Callable[..., _T]) -> _SingleDispatchCallable[_T]: ... class singledispatchmethod(Generic[_T]): dispatcher: _SingleDispatchCallable[_T] func: Callable[..., _T] def __init__(self, func: Callable[..., _T]) -> None: ... @property def __isabstractmethod__(self) -> bool: ... @overload def register(self, cls: _RegType, method: None = None) -> Callable[[Callable[..., _T]], Callable[..., _T]]: ... @overload def register(self, cls: Callable[..., _T], method: None = None) -> Callable[..., _T]: ... @overload def register(self, cls: _RegType, method: Callable[..., _T]) -> Callable[..., _T]: ... def __get__(self, obj: _S, cls: type[_S] | None = None) -> Callable[..., _T]: ... class cached_property(Generic[_T_co]): func: Callable[[Any], _T_co] attrname: str | None def __init__(self, func: Callable[[Any], _T_co]) -> None: ... @overload def __get__(self, instance: None, owner: type[Any] | None = None) -> Self: ... @overload def __get__(self, instance: object, owner: type[Any] | None = None) -> _T_co: ... def __set_name__(self, owner: type[Any], name: str) -> None: ... # __set__ is not defined at runtime, but @cached_property is designed to be settable def __set__(self, instance: object, value: _T_co) -> None: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def cache(user_function: Callable[..., _T], /) -> _lru_cache_wrapper[_T]: ... def _make_key( args: tuple[Hashable, ...], kwds: SupportsItems[Any, Any], typed: bool, kwd_mark: tuple[object, ...] = ..., fasttypes: set[type] = ..., tuple: type = ..., type: Any = ..., len: Callable[[Sized], int] = ..., ) -> Hashable: ... if sys.version_info >= (3, 14): @final class _PlaceholderType: ... Placeholder: Final[_PlaceholderType] __all__ += ["Placeholder"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/gc.pyi0000644000175100017510000000220515112307767017476 0ustar00runnerrunnerfrom collections.abc import Callable from typing import Any, Final, Literal from typing_extensions import TypeAlias DEBUG_COLLECTABLE: Final = 2 DEBUG_LEAK: Final = 38 DEBUG_SAVEALL: Final = 32 DEBUG_STATS: Final = 1 DEBUG_UNCOLLECTABLE: Final = 4 _CallbackType: TypeAlias = Callable[[Literal["start", "stop"], dict[str, int]], object] callbacks: list[_CallbackType] garbage: list[Any] def collect(generation: int = 2) -> int: ... def disable() -> None: ... def enable() -> None: ... def get_count() -> tuple[int, int, int]: ... def get_debug() -> int: ... def get_objects(generation: int | None = None) -> list[Any]: ... def freeze() -> None: ... def unfreeze() -> None: ... def get_freeze_count() -> int: ... def get_referents(*objs: Any) -> list[Any]: ... def get_referrers(*objs: Any) -> list[Any]: ... def get_stats() -> list[dict[str, Any]]: ... def get_threshold() -> tuple[int, int, int]: ... def is_tracked(obj: Any, /) -> bool: ... def is_finalized(obj: Any, /) -> bool: ... def isenabled() -> bool: ... def set_debug(flags: int, /) -> None: ... def set_threshold(threshold0: int, threshold1: int = ..., threshold2: int = ..., /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/genericpath.pyi0000644000175100017510000000452015112307767021400 0ustar00runnerrunnerimport os import sys from _typeshed import BytesPath, FileDescriptorOrPath, StrOrBytesPath, StrPath, SupportsRichComparisonT from collections.abc import Sequence from typing import Literal, NewType, overload from typing_extensions import LiteralString __all__ = [ "commonprefix", "exists", "getatime", "getctime", "getmtime", "getsize", "isdir", "isfile", "samefile", "sameopenfile", "samestat", "ALLOW_MISSING", ] if sys.version_info >= (3, 12): __all__ += ["islink"] if sys.version_info >= (3, 13): __all__ += ["isjunction", "isdevdrive", "lexists"] # All overloads can return empty string. Ideally, Literal[""] would be a valid # Iterable[T], so that list[T] | Literal[""] could be used as a return # type. But because this only works when T is str, we need Sequence[T] instead. @overload def commonprefix(m: Sequence[LiteralString]) -> LiteralString: ... @overload def commonprefix(m: Sequence[StrPath]) -> str: ... @overload def commonprefix(m: Sequence[BytesPath]) -> bytes | Literal[""]: ... @overload def commonprefix(m: Sequence[list[SupportsRichComparisonT]]) -> Sequence[SupportsRichComparisonT]: ... @overload def commonprefix(m: Sequence[tuple[SupportsRichComparisonT, ...]]) -> Sequence[SupportsRichComparisonT]: ... def exists(path: FileDescriptorOrPath) -> bool: ... def getsize(filename: FileDescriptorOrPath) -> int: ... def isfile(path: FileDescriptorOrPath) -> bool: ... def isdir(s: FileDescriptorOrPath) -> bool: ... if sys.version_info >= (3, 12): def islink(path: StrOrBytesPath) -> bool: ... # These return float if os.stat_float_times() == True, # but int is a subclass of float. def getatime(filename: FileDescriptorOrPath) -> float: ... def getmtime(filename: FileDescriptorOrPath) -> float: ... def getctime(filename: FileDescriptorOrPath) -> float: ... def samefile(f1: FileDescriptorOrPath, f2: FileDescriptorOrPath) -> bool: ... def sameopenfile(fp1: int, fp2: int) -> bool: ... def samestat(s1: os.stat_result, s2: os.stat_result) -> bool: ... if sys.version_info >= (3, 13): def isjunction(path: StrOrBytesPath) -> bool: ... def isdevdrive(path: StrOrBytesPath) -> bool: ... def lexists(path: StrOrBytesPath) -> bool: ... # Added in Python 3.9.23, 3.10.18, 3.11.13, 3.12.11, 3.13.4 _AllowMissingType = NewType("_AllowMissingType", object) ALLOW_MISSING: _AllowMissingType ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/getopt.pyi0000644000175100017510000000161515112307767020413 0ustar00runnerrunnerfrom collections.abc import Iterable, Sequence from typing import Protocol, TypeVar, overload, type_check_only _StrSequenceT_co = TypeVar("_StrSequenceT_co", covariant=True, bound=Sequence[str]) @type_check_only class _SliceableT(Protocol[_StrSequenceT_co]): @overload def __getitem__(self, key: int, /) -> str: ... @overload def __getitem__(self, key: slice, /) -> _StrSequenceT_co: ... __all__ = ["GetoptError", "error", "getopt", "gnu_getopt"] def getopt( args: _SliceableT[_StrSequenceT_co], shortopts: str, longopts: Iterable[str] | str = [] ) -> tuple[list[tuple[str, str]], _StrSequenceT_co]: ... def gnu_getopt( args: Sequence[str], shortopts: str, longopts: Iterable[str] | str = [] ) -> tuple[list[tuple[str, str]], list[str]]: ... class GetoptError(Exception): msg: str opt: str def __init__(self, msg: str, opt: str = "") -> None: ... error = GetoptError ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/getpass.pyi0000644000175100017510000000062115112307767020553 0ustar00runnerrunnerimport sys from typing import TextIO __all__ = ["getpass", "getuser", "GetPassWarning"] if sys.version_info >= (3, 14): def getpass(prompt: str = "Password: ", stream: TextIO | None = None, *, echo_char: str | None = None) -> str: ... else: def getpass(prompt: str = "Password: ", stream: TextIO | None = None) -> str: ... def getuser() -> str: ... class GetPassWarning(UserWarning): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/gettext.pyi0000644000175100017510000001662615112307767020605 0ustar00runnerrunnerimport io import sys from _typeshed import StrPath from collections.abc import Callable, Container, Iterable, Sequence from typing import Any, Final, Literal, Protocol, TypeVar, overload, type_check_only from typing_extensions import deprecated __all__ = [ "NullTranslations", "GNUTranslations", "Catalog", "find", "translation", "install", "textdomain", "bindtextdomain", "dgettext", "dngettext", "gettext", "ngettext", "dnpgettext", "dpgettext", "npgettext", "pgettext", ] if sys.version_info < (3, 11): __all__ += ["bind_textdomain_codeset", "ldgettext", "ldngettext", "lgettext", "lngettext"] @type_check_only class _TranslationsReader(Protocol): def read(self) -> bytes: ... # optional: # name: str class NullTranslations: def __init__(self, fp: _TranslationsReader | None = None) -> None: ... def _parse(self, fp: _TranslationsReader) -> None: ... def add_fallback(self, fallback: NullTranslations) -> None: ... def gettext(self, message: str) -> str: ... def ngettext(self, msgid1: str, msgid2: str, n: int) -> str: ... def pgettext(self, context: str, message: str) -> str: ... def npgettext(self, context: str, msgid1: str, msgid2: str, n: int) -> str: ... def info(self) -> dict[str, str]: ... def charset(self) -> str | None: ... if sys.version_info < (3, 11): @deprecated("Deprecated since Python 3.8; removed in Python 3.11.") def output_charset(self) -> str | None: ... @deprecated("Deprecated since Python 3.8; removed in Python 3.11.") def set_output_charset(self, charset: str) -> None: ... @deprecated("Deprecated since Python 3.8; removed in Python 3.11. Use `gettext()` instead.") def lgettext(self, message: str) -> str: ... @deprecated("Deprecated since Python 3.8; removed in Python 3.11. Use `ngettext()` instead.") def lngettext(self, msgid1: str, msgid2: str, n: int) -> str: ... def install(self, names: Container[str] | None = None) -> None: ... class GNUTranslations(NullTranslations): LE_MAGIC: Final[int] BE_MAGIC: Final[int] CONTEXT: str VERSIONS: Sequence[int] @overload def find( domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, all: Literal[False] = False ) -> str | None: ... @overload def find( domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, *, all: Literal[True] ) -> list[str]: ... @overload def find(domain: str, localedir: StrPath | None, languages: Iterable[str] | None, all: Literal[True]) -> list[str]: ... @overload def find(domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, all: bool = False) -> Any: ... _NullTranslationsT = TypeVar("_NullTranslationsT", bound=NullTranslations) if sys.version_info >= (3, 11): @overload def translation( domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, class_: None = None, fallback: Literal[False] = False, ) -> GNUTranslations: ... @overload def translation( domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, *, class_: Callable[[io.BufferedReader], _NullTranslationsT], fallback: Literal[False] = False, ) -> _NullTranslationsT: ... @overload def translation( domain: str, localedir: StrPath | None, languages: Iterable[str] | None, class_: Callable[[io.BufferedReader], _NullTranslationsT], fallback: Literal[False] = False, ) -> _NullTranslationsT: ... @overload def translation( domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, class_: Callable[[io.BufferedReader], NullTranslations] | None = None, fallback: bool = False, ) -> NullTranslations: ... def install(domain: str, localedir: StrPath | None = None, *, names: Container[str] | None = None) -> None: ... else: @overload def translation( domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, class_: None = None, fallback: Literal[False] = False, codeset: str | None = ..., ) -> GNUTranslations: ... @overload def translation( domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, *, class_: Callable[[io.BufferedReader], _NullTranslationsT], fallback: Literal[False] = False, codeset: str | None = ..., ) -> _NullTranslationsT: ... @overload def translation( domain: str, localedir: StrPath | None, languages: Iterable[str] | None, class_: Callable[[io.BufferedReader], _NullTranslationsT], fallback: Literal[False] = False, codeset: str | None = ..., ) -> _NullTranslationsT: ... @overload def translation( domain: str, localedir: StrPath | None = None, languages: Iterable[str] | None = None, class_: Callable[[io.BufferedReader], NullTranslations] | None = None, fallback: bool = False, codeset: str | None = ..., ) -> NullTranslations: ... @overload def install(domain: str, localedir: StrPath | None = None, names: Container[str] | None = None) -> None: ... @overload @deprecated("The `codeset` parameter is deprecated since Python 3.8; removed in Python 3.11.") def install(domain: str, localedir: StrPath | None, codeset: str | None, /, names: Container[str] | None = None) -> None: ... @overload @deprecated("The `codeset` parameter is deprecated since Python 3.8; removed in Python 3.11.") def install( domain: str, localedir: StrPath | None = None, *, codeset: str | None, names: Container[str] | None = None ) -> None: ... def textdomain(domain: str | None = None) -> str: ... def bindtextdomain(domain: str, localedir: StrPath | None = None) -> str: ... def dgettext(domain: str, message: str) -> str: ... def dngettext(domain: str, msgid1: str, msgid2: str, n: int) -> str: ... def gettext(message: str) -> str: ... def ngettext(msgid1: str, msgid2: str, n: int) -> str: ... def pgettext(context: str, message: str) -> str: ... def dpgettext(domain: str, context: str, message: str) -> str: ... def npgettext(context: str, msgid1: str, msgid2: str, n: int) -> str: ... def dnpgettext(domain: str, context: str, msgid1: str, msgid2: str, n: int) -> str: ... if sys.version_info < (3, 11): @deprecated("Deprecated since Python 3.8; removed in Python 3.11. Use `gettext()` instead.") def lgettext(message: str) -> str: ... @deprecated("Deprecated since Python 3.8; removed in Python 3.11. Use `dgettext()` instead.") def ldgettext(domain: str, message: str) -> str: ... @deprecated("Deprecated since Python 3.8; removed in Python 3.11. Use `ngettext()` instead.") def lngettext(msgid1: str, msgid2: str, n: int) -> str: ... @deprecated("Deprecated since Python 3.8; removed in Python 3.11. Use `dngettext()` instead.") def ldngettext(domain: str, msgid1: str, msgid2: str, n: int) -> str: ... @deprecated("Deprecated since Python 3.8; removed in Python 3.11. Use `bindtextdomain()` instead.") def bind_textdomain_codeset(domain: str, codeset: str | None = None) -> str: ... Catalog = translation def c2py(plural: str) -> Callable[[int], int]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/glob.pyi0000644000175100017510000000423115112307767020031 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from collections.abc import Iterator, Sequence from typing import AnyStr from typing_extensions import deprecated __all__ = ["escape", "glob", "iglob"] if sys.version_info >= (3, 13): __all__ += ["translate"] if sys.version_info >= (3, 10): @deprecated( "Deprecated since Python 3.10; will be removed in Python 3.15. Use `glob.glob()` with the *root_dir* argument instead." ) def glob0(dirname: AnyStr, pattern: AnyStr) -> list[AnyStr]: ... @deprecated( "Deprecated since Python 3.10; will be removed in Python 3.15. Use `glob.glob()` with the *root_dir* argument instead." ) def glob1(dirname: AnyStr, pattern: AnyStr) -> list[AnyStr]: ... else: def glob0(dirname: AnyStr, pattern: AnyStr) -> list[AnyStr]: ... def glob1(dirname: AnyStr, pattern: AnyStr) -> list[AnyStr]: ... if sys.version_info >= (3, 11): def glob( pathname: AnyStr, *, root_dir: StrOrBytesPath | None = None, dir_fd: int | None = None, recursive: bool = False, include_hidden: bool = False, ) -> list[AnyStr]: ... def iglob( pathname: AnyStr, *, root_dir: StrOrBytesPath | None = None, dir_fd: int | None = None, recursive: bool = False, include_hidden: bool = False, ) -> Iterator[AnyStr]: ... elif sys.version_info >= (3, 10): def glob( pathname: AnyStr, *, root_dir: StrOrBytesPath | None = None, dir_fd: int | None = None, recursive: bool = False ) -> list[AnyStr]: ... def iglob( pathname: AnyStr, *, root_dir: StrOrBytesPath | None = None, dir_fd: int | None = None, recursive: bool = False ) -> Iterator[AnyStr]: ... else: def glob(pathname: AnyStr, *, recursive: bool = False) -> list[AnyStr]: ... def iglob(pathname: AnyStr, *, recursive: bool = False) -> Iterator[AnyStr]: ... def escape(pathname: AnyStr) -> AnyStr: ... def has_magic(s: str | bytes) -> bool: ... # undocumented if sys.version_info >= (3, 13): def translate( pat: str, *, recursive: bool = False, include_hidden: bool = False, seps: Sequence[str] | None = None ) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/graphlib.pyi0000644000175100017510000000162515112307767020702 0ustar00runnerrunnerimport sys from _typeshed import SupportsItems from collections.abc import Iterable from typing import Any, Generic, TypeVar, overload __all__ = ["TopologicalSorter", "CycleError"] _T = TypeVar("_T") if sys.version_info >= (3, 11): from types import GenericAlias class TopologicalSorter(Generic[_T]): @overload def __init__(self, graph: None = None) -> None: ... @overload def __init__(self, graph: SupportsItems[_T, Iterable[_T]]) -> None: ... def add(self, node: _T, *predecessors: _T) -> None: ... def prepare(self) -> None: ... def is_active(self) -> bool: ... def __bool__(self) -> bool: ... def done(self, *nodes: _T) -> None: ... def get_ready(self) -> tuple[_T, ...]: ... def static_order(self) -> Iterable[_T]: ... if sys.version_info >= (3, 11): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class CycleError(ValueError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/grp.pyi0000644000175100017510000000127615112307767017704 0ustar00runnerrunnerimport sys from _typeshed import structseq from typing import Any, Final, final if sys.platform != "win32": @final class struct_group(structseq[Any], tuple[str, str | None, int, list[str]]): if sys.version_info >= (3, 10): __match_args__: Final = ("gr_name", "gr_passwd", "gr_gid", "gr_mem") @property def gr_name(self) -> str: ... @property def gr_passwd(self) -> str | None: ... @property def gr_gid(self) -> int: ... @property def gr_mem(self) -> list[str]: ... def getgrall() -> list[struct_group]: ... def getgrgid(id: int) -> struct_group: ... def getgrnam(name: str) -> struct_group: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/gzip.pyi0000644000175100017510000001267715112307767020074 0ustar00runnerrunnerimport sys import zlib from _typeshed import ReadableBuffer, SizedBuffer, StrOrBytesPath, WriteableBuffer from io import FileIO, TextIOWrapper from typing import Final, Literal, Protocol, overload, type_check_only from typing_extensions import TypeAlias, deprecated if sys.version_info >= (3, 14): from compression._common._streams import BaseStream, DecompressReader else: from _compression import BaseStream, DecompressReader __all__ = ["BadGzipFile", "GzipFile", "open", "compress", "decompress"] _ReadBinaryMode: TypeAlias = Literal["r", "rb"] _WriteBinaryMode: TypeAlias = Literal["a", "ab", "w", "wb", "x", "xb"] _OpenTextMode: TypeAlias = Literal["rt", "at", "wt", "xt"] READ: Final[object] # undocumented WRITE: Final[object] # undocumented FTEXT: Final[int] # actually Literal[1] # undocumented FHCRC: Final[int] # actually Literal[2] # undocumented FEXTRA: Final[int] # actually Literal[4] # undocumented FNAME: Final[int] # actually Literal[8] # undocumented FCOMMENT: Final[int] # actually Literal[16] # undocumented @type_check_only class _ReadableFileobj(Protocol): def read(self, n: int, /) -> bytes: ... def seek(self, n: int, /) -> object: ... # The following attributes and methods are optional: # name: str # mode: str # def fileno() -> int: ... @type_check_only class _WritableFileobj(Protocol): def write(self, b: bytes, /) -> object: ... def flush(self) -> object: ... # The following attributes and methods are optional: # name: str # mode: str # def fileno() -> int: ... @overload def open( filename: StrOrBytesPath | _ReadableFileobj, mode: _ReadBinaryMode = "rb", compresslevel: int = 9, encoding: None = None, errors: None = None, newline: None = None, ) -> GzipFile: ... @overload def open( filename: StrOrBytesPath | _WritableFileobj, mode: _WriteBinaryMode, compresslevel: int = 9, encoding: None = None, errors: None = None, newline: None = None, ) -> GzipFile: ... @overload def open( filename: StrOrBytesPath | _ReadableFileobj | _WritableFileobj, mode: _OpenTextMode, compresslevel: int = 9, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... @overload def open( filename: StrOrBytesPath | _ReadableFileobj | _WritableFileobj, mode: str, compresslevel: int = 9, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> GzipFile | TextIOWrapper: ... class _PaddedFile: file: _ReadableFileobj def __init__(self, f: _ReadableFileobj, prepend: bytes = b"") -> None: ... def read(self, size: int) -> bytes: ... def prepend(self, prepend: bytes = b"") -> None: ... def seek(self, off: int) -> int: ... def seekable(self) -> bool: ... class BadGzipFile(OSError): ... class GzipFile(BaseStream): myfileobj: FileIO | None mode: object name: str compress: zlib._Compress fileobj: _ReadableFileobj | _WritableFileobj @overload def __init__( self, filename: StrOrBytesPath | None, mode: _ReadBinaryMode, compresslevel: int = 9, fileobj: _ReadableFileobj | None = None, mtime: float | None = None, ) -> None: ... @overload def __init__( self, *, mode: _ReadBinaryMode, compresslevel: int = 9, fileobj: _ReadableFileobj | None = None, mtime: float | None = None, ) -> None: ... @overload def __init__( self, filename: StrOrBytesPath | None, mode: _WriteBinaryMode, compresslevel: int = 9, fileobj: _WritableFileobj | None = None, mtime: float | None = None, ) -> None: ... @overload def __init__( self, *, mode: _WriteBinaryMode, compresslevel: int = 9, fileobj: _WritableFileobj | None = None, mtime: float | None = None, ) -> None: ... @overload def __init__( self, filename: StrOrBytesPath | None = None, mode: str | None = None, compresslevel: int = 9, fileobj: _ReadableFileobj | _WritableFileobj | None = None, mtime: float | None = None, ) -> None: ... if sys.version_info < (3, 12): @property @deprecated("Deprecated since Python 2.6; removed in Python 3.12. Use `name` attribute instead.") def filename(self) -> str: ... @property def mtime(self) -> int | None: ... crc: int def write(self, data: ReadableBuffer) -> int: ... def read(self, size: int | None = -1) -> bytes: ... def read1(self, size: int = -1) -> bytes: ... def peek(self, n: int) -> bytes: ... def close(self) -> None: ... def flush(self, zlib_mode: int = 2) -> None: ... def fileno(self) -> int: ... def rewind(self) -> None: ... def seek(self, offset: int, whence: int = 0) -> int: ... def readline(self, size: int | None = -1) -> bytes: ... if sys.version_info >= (3, 14): def readinto(self, b: WriteableBuffer) -> int: ... def readinto1(self, b: WriteableBuffer) -> int: ... class _GzipReader(DecompressReader): def __init__(self, fp: _ReadableFileobj) -> None: ... if sys.version_info >= (3, 14): def compress(data: SizedBuffer, compresslevel: int = 9, *, mtime: float = 0) -> bytes: ... else: def compress(data: SizedBuffer, compresslevel: int = 9, *, mtime: float | None = None) -> bytes: ... def decompress(data: ReadableBuffer) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/hashlib.pyi0000644000175100017510000000423715112307767020526 0ustar00runnerrunnerimport sys from _blake2 import blake2b as blake2b, blake2s as blake2s from _hashlib import ( HASH, _HashObject, openssl_md5 as md5, openssl_sha1 as sha1, openssl_sha3_224 as sha3_224, openssl_sha3_256 as sha3_256, openssl_sha3_384 as sha3_384, openssl_sha3_512 as sha3_512, openssl_sha224 as sha224, openssl_sha256 as sha256, openssl_sha384 as sha384, openssl_sha512 as sha512, openssl_shake_128 as shake_128, openssl_shake_256 as shake_256, pbkdf2_hmac as pbkdf2_hmac, scrypt as scrypt, ) from _typeshed import ReadableBuffer from collections.abc import Callable, Set as AbstractSet from typing import Protocol, type_check_only if sys.version_info >= (3, 11): __all__ = ( "md5", "sha1", "sha224", "sha256", "sha384", "sha512", "blake2b", "blake2s", "sha3_224", "sha3_256", "sha3_384", "sha3_512", "shake_128", "shake_256", "new", "algorithms_guaranteed", "algorithms_available", "pbkdf2_hmac", "file_digest", ) else: __all__ = ( "md5", "sha1", "sha224", "sha256", "sha384", "sha512", "blake2b", "blake2s", "sha3_224", "sha3_256", "sha3_384", "sha3_512", "shake_128", "shake_256", "new", "algorithms_guaranteed", "algorithms_available", "pbkdf2_hmac", ) def new(name: str, data: ReadableBuffer = b"", *, usedforsecurity: bool = ...) -> HASH: ... algorithms_guaranteed: AbstractSet[str] algorithms_available: AbstractSet[str] if sys.version_info >= (3, 11): @type_check_only class _BytesIOLike(Protocol): def getbuffer(self) -> ReadableBuffer: ... @type_check_only class _FileDigestFileObj(Protocol): def readinto(self, buf: bytearray, /) -> int: ... def readable(self) -> bool: ... def file_digest( fileobj: _BytesIOLike | _FileDigestFileObj, digest: str | Callable[[], _HashObject], /, *, _bufsize: int = 262144 ) -> HASH: ... # Legacy typing-only alias _Hash = HASH ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/heapq.pyi0000644000175100017510000000140415112307767020203 0ustar00runnerrunnerfrom _heapq import * from _typeshed import SupportsRichComparison from collections.abc import Callable, Generator, Iterable from typing import Any, Final, TypeVar __all__ = ["heappush", "heappop", "heapify", "heapreplace", "merge", "nlargest", "nsmallest", "heappushpop"] _S = TypeVar("_S") __about__: Final[str] def merge( *iterables: Iterable[_S], key: Callable[[_S], SupportsRichComparison] | None = None, reverse: bool = False ) -> Generator[_S]: ... def nlargest(n: int, iterable: Iterable[_S], key: Callable[[_S], SupportsRichComparison] | None = None) -> list[_S]: ... def nsmallest(n: int, iterable: Iterable[_S], key: Callable[[_S], SupportsRichComparison] | None = None) -> list[_S]: ... def _heapify_max(heap: list[Any], /) -> None: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/hmac.pyi0000644000175100017510000000235215112307767020020 0ustar00runnerrunnerfrom _hashlib import _HashObject, compare_digest as compare_digest from _typeshed import ReadableBuffer, SizedBuffer from collections.abc import Callable from types import ModuleType from typing import overload from typing_extensions import TypeAlias _DigestMod: TypeAlias = str | Callable[[], _HashObject] | ModuleType trans_5C: bytes trans_36: bytes digest_size: None # In reality digestmod has a default value, but the function always throws an error # if the argument is not given, so we pretend it is a required argument. @overload def new(key: bytes | bytearray, msg: ReadableBuffer | None, digestmod: _DigestMod) -> HMAC: ... @overload def new(key: bytes | bytearray, *, digestmod: _DigestMod) -> HMAC: ... class HMAC: __slots__ = ("_hmac", "_inner", "_outer", "block_size", "digest_size") digest_size: int block_size: int @property def name(self) -> str: ... def __init__(self, key: bytes | bytearray, msg: ReadableBuffer | None = None, digestmod: _DigestMod = "") -> None: ... def update(self, msg: ReadableBuffer) -> None: ... def digest(self) -> bytes: ... def hexdigest(self) -> str: ... def copy(self) -> HMAC: ... def digest(key: SizedBuffer, msg: ReadableBuffer, digest: _DigestMod) -> bytes: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5837653 mypy-1.19.0/mypy/typeshed/stdlib/html/0000755000175100017510000000000015112310012017300 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/html/__init__.pyi0000644000175100017510000000023515112307767021611 0ustar00runnerrunnerfrom typing import AnyStr __all__ = ["escape", "unescape"] def escape(s: AnyStr, quote: bool = True) -> AnyStr: ... def unescape(s: AnyStr) -> AnyStr: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/html/entities.pyi0000644000175100017510000000035415112307767021700 0ustar00runnerrunnerfrom typing import Final __all__ = ["html5", "name2codepoint", "codepoint2name", "entitydefs"] name2codepoint: Final[dict[str, int]] html5: Final[dict[str, str]] codepoint2name: Final[dict[int, str]] entitydefs: Final[dict[str, str]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/html/parser.pyi0000644000175100017510000000406215112307767021350 0ustar00runnerrunnerfrom _markupbase import ParserBase from re import Pattern from typing import Final __all__ = ["HTMLParser"] class HTMLParser(ParserBase): CDATA_CONTENT_ELEMENTS: Final[tuple[str, ...]] # Added in Python 3.9.23, 3.10.18, 3.11.13, 3.12.11, 3.13.6 RCDATA_CONTENT_ELEMENTS: Final[tuple[str, ...]] # `scripting` parameter added in Python 3.9.25, 3.10.20, 3.11.15, 3.12.13, 3.13.10, 3.14.1 def __init__(self, *, convert_charrefs: bool = True, scripting: bool = False) -> None: ... def feed(self, data: str) -> None: ... def close(self) -> None: ... def get_starttag_text(self) -> str | None: ... def handle_starttag(self, tag: str, attrs: list[tuple[str, str | None]]) -> None: ... def handle_endtag(self, tag: str) -> None: ... def handle_startendtag(self, tag: str, attrs: list[tuple[str, str | None]]) -> None: ... def handle_data(self, data: str) -> None: ... def handle_entityref(self, name: str) -> None: ... def handle_charref(self, name: str) -> None: ... def handle_comment(self, data: str) -> None: ... def handle_decl(self, decl: str) -> None: ... def handle_pi(self, data: str) -> None: ... def check_for_whole_start_tag(self, i: int) -> int: ... # undocumented def clear_cdata_mode(self) -> None: ... # undocumented def goahead(self, end: bool) -> None: ... # undocumented def parse_bogus_comment(self, i: int, report: bool = True) -> int: ... # undocumented def parse_endtag(self, i: int) -> int: ... # undocumented def parse_html_declaration(self, i: int) -> int: ... # undocumented def parse_pi(self, i: int) -> int: ... # undocumented def parse_starttag(self, i: int) -> int: ... # undocumented # `escapable` parameter added in Python 3.9.23, 3.10.18, 3.11.13, 3.12.11, 3.13.6 def set_cdata_mode(self, elem: str, *, escapable: bool = False) -> None: ... # undocumented rawdata: str # undocumented cdata_elem: str | None # undocumented convert_charrefs: bool # undocumented interesting: Pattern[str] # undocumented lasttag: str # undocumented ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5847654 mypy-1.19.0/mypy/typeshed/stdlib/http/0000755000175100017510000000000015112310012017313 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/http/__init__.pyi0000644000175100017510000000572615112307767021636 0ustar00runnerrunnerimport sys from enum import IntEnum if sys.version_info >= (3, 11): from enum import StrEnum if sys.version_info >= (3, 11): __all__ = ["HTTPStatus", "HTTPMethod"] else: __all__ = ["HTTPStatus"] class HTTPStatus(IntEnum): @property def phrase(self) -> str: ... @property def description(self) -> str: ... # Keep these synced with the global constants in http/client.pyi. CONTINUE = 100 SWITCHING_PROTOCOLS = 101 PROCESSING = 102 EARLY_HINTS = 103 OK = 200 CREATED = 201 ACCEPTED = 202 NON_AUTHORITATIVE_INFORMATION = 203 NO_CONTENT = 204 RESET_CONTENT = 205 PARTIAL_CONTENT = 206 MULTI_STATUS = 207 ALREADY_REPORTED = 208 IM_USED = 226 MULTIPLE_CHOICES = 300 MOVED_PERMANENTLY = 301 FOUND = 302 SEE_OTHER = 303 NOT_MODIFIED = 304 USE_PROXY = 305 TEMPORARY_REDIRECT = 307 PERMANENT_REDIRECT = 308 BAD_REQUEST = 400 UNAUTHORIZED = 401 PAYMENT_REQUIRED = 402 FORBIDDEN = 403 NOT_FOUND = 404 METHOD_NOT_ALLOWED = 405 NOT_ACCEPTABLE = 406 PROXY_AUTHENTICATION_REQUIRED = 407 REQUEST_TIMEOUT = 408 CONFLICT = 409 GONE = 410 LENGTH_REQUIRED = 411 PRECONDITION_FAILED = 412 if sys.version_info >= (3, 13): CONTENT_TOO_LARGE = 413 REQUEST_ENTITY_TOO_LARGE = 413 if sys.version_info >= (3, 13): URI_TOO_LONG = 414 REQUEST_URI_TOO_LONG = 414 UNSUPPORTED_MEDIA_TYPE = 415 if sys.version_info >= (3, 13): RANGE_NOT_SATISFIABLE = 416 REQUESTED_RANGE_NOT_SATISFIABLE = 416 EXPECTATION_FAILED = 417 IM_A_TEAPOT = 418 MISDIRECTED_REQUEST = 421 if sys.version_info >= (3, 13): UNPROCESSABLE_CONTENT = 422 UNPROCESSABLE_ENTITY = 422 LOCKED = 423 FAILED_DEPENDENCY = 424 TOO_EARLY = 425 UPGRADE_REQUIRED = 426 PRECONDITION_REQUIRED = 428 TOO_MANY_REQUESTS = 429 REQUEST_HEADER_FIELDS_TOO_LARGE = 431 UNAVAILABLE_FOR_LEGAL_REASONS = 451 INTERNAL_SERVER_ERROR = 500 NOT_IMPLEMENTED = 501 BAD_GATEWAY = 502 SERVICE_UNAVAILABLE = 503 GATEWAY_TIMEOUT = 504 HTTP_VERSION_NOT_SUPPORTED = 505 VARIANT_ALSO_NEGOTIATES = 506 INSUFFICIENT_STORAGE = 507 LOOP_DETECTED = 508 NOT_EXTENDED = 510 NETWORK_AUTHENTICATION_REQUIRED = 511 if sys.version_info >= (3, 12): @property def is_informational(self) -> bool: ... @property def is_success(self) -> bool: ... @property def is_redirection(self) -> bool: ... @property def is_client_error(self) -> bool: ... @property def is_server_error(self) -> bool: ... if sys.version_info >= (3, 11): class HTTPMethod(StrEnum): @property def description(self) -> str: ... CONNECT = "CONNECT" DELETE = "DELETE" GET = "GET" HEAD = "HEAD" OPTIONS = "OPTIONS" PATCH = "PATCH" POST = "POST" PUT = "PUT" TRACE = "TRACE" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/http/client.pyi0000644000175100017510000002101115112307767021336 0ustar00runnerrunnerimport email.message import io import ssl import sys import types from _typeshed import MaybeNone, ReadableBuffer, SupportsRead, SupportsReadline, WriteableBuffer from collections.abc import Callable, Iterable, Iterator, Mapping from email._policybase import _MessageT from socket import socket from typing import BinaryIO, Final, TypeVar, overload from typing_extensions import Self, TypeAlias __all__ = [ "HTTPResponse", "HTTPConnection", "HTTPException", "NotConnected", "UnknownProtocol", "UnknownTransferEncoding", "UnimplementedFileMode", "IncompleteRead", "InvalidURL", "ImproperConnectionState", "CannotSendRequest", "CannotSendHeader", "ResponseNotReady", "BadStatusLine", "LineTooLong", "RemoteDisconnected", "error", "responses", "HTTPSConnection", ] _DataType: TypeAlias = SupportsRead[bytes] | Iterable[ReadableBuffer] | ReadableBuffer _T = TypeVar("_T") _HeaderValue: TypeAlias = ReadableBuffer | str | int HTTP_PORT: Final = 80 HTTPS_PORT: Final = 443 # Keep these global constants in sync with http.HTTPStatus (http/__init__.pyi). # They are present for backward compatibility reasons. CONTINUE: Final = 100 SWITCHING_PROTOCOLS: Final = 101 PROCESSING: Final = 102 EARLY_HINTS: Final = 103 OK: Final = 200 CREATED: Final = 201 ACCEPTED: Final = 202 NON_AUTHORITATIVE_INFORMATION: Final = 203 NO_CONTENT: Final = 204 RESET_CONTENT: Final = 205 PARTIAL_CONTENT: Final = 206 MULTI_STATUS: Final = 207 ALREADY_REPORTED: Final = 208 IM_USED: Final = 226 MULTIPLE_CHOICES: Final = 300 MOVED_PERMANENTLY: Final = 301 FOUND: Final = 302 SEE_OTHER: Final = 303 NOT_MODIFIED: Final = 304 USE_PROXY: Final = 305 TEMPORARY_REDIRECT: Final = 307 PERMANENT_REDIRECT: Final = 308 BAD_REQUEST: Final = 400 UNAUTHORIZED: Final = 401 PAYMENT_REQUIRED: Final = 402 FORBIDDEN: Final = 403 NOT_FOUND: Final = 404 METHOD_NOT_ALLOWED: Final = 405 NOT_ACCEPTABLE: Final = 406 PROXY_AUTHENTICATION_REQUIRED: Final = 407 REQUEST_TIMEOUT: Final = 408 CONFLICT: Final = 409 GONE: Final = 410 LENGTH_REQUIRED: Final = 411 PRECONDITION_FAILED: Final = 412 if sys.version_info >= (3, 13): CONTENT_TOO_LARGE: Final = 413 REQUEST_ENTITY_TOO_LARGE: Final = 413 if sys.version_info >= (3, 13): URI_TOO_LONG: Final = 414 REQUEST_URI_TOO_LONG: Final = 414 UNSUPPORTED_MEDIA_TYPE: Final = 415 if sys.version_info >= (3, 13): RANGE_NOT_SATISFIABLE: Final = 416 REQUESTED_RANGE_NOT_SATISFIABLE: Final = 416 EXPECTATION_FAILED: Final = 417 IM_A_TEAPOT: Final = 418 MISDIRECTED_REQUEST: Final = 421 if sys.version_info >= (3, 13): UNPROCESSABLE_CONTENT: Final = 422 UNPROCESSABLE_ENTITY: Final = 422 LOCKED: Final = 423 FAILED_DEPENDENCY: Final = 424 TOO_EARLY: Final = 425 UPGRADE_REQUIRED: Final = 426 PRECONDITION_REQUIRED: Final = 428 TOO_MANY_REQUESTS: Final = 429 REQUEST_HEADER_FIELDS_TOO_LARGE: Final = 431 UNAVAILABLE_FOR_LEGAL_REASONS: Final = 451 INTERNAL_SERVER_ERROR: Final = 500 NOT_IMPLEMENTED: Final = 501 BAD_GATEWAY: Final = 502 SERVICE_UNAVAILABLE: Final = 503 GATEWAY_TIMEOUT: Final = 504 HTTP_VERSION_NOT_SUPPORTED: Final = 505 VARIANT_ALSO_NEGOTIATES: Final = 506 INSUFFICIENT_STORAGE: Final = 507 LOOP_DETECTED: Final = 508 NOT_EXTENDED: Final = 510 NETWORK_AUTHENTICATION_REQUIRED: Final = 511 responses: dict[int, str] class HTTPMessage(email.message.Message[str, str]): def getallmatchingheaders(self, name: str) -> list[str]: ... # undocumented @overload def parse_headers(fp: SupportsReadline[bytes], _class: Callable[[], _MessageT]) -> _MessageT: ... @overload def parse_headers(fp: SupportsReadline[bytes]) -> HTTPMessage: ... class HTTPResponse(io.BufferedIOBase, BinaryIO): # type: ignore[misc] # incompatible method definitions in the base classes msg: HTTPMessage headers: HTTPMessage version: int debuglevel: int fp: io.BufferedReader closed: bool status: int reason: str chunked: bool chunk_left: int | None length: int | None will_close: bool # url is set on instances of the class in urllib.request.AbstractHTTPHandler.do_open # to match urllib.response.addinfourl's interface. # It's not set in HTTPResponse.__init__ or any other method on the class url: str def __init__(self, sock: socket, debuglevel: int = 0, method: str | None = None, url: str | None = None) -> None: ... def peek(self, n: int = -1) -> bytes: ... def read(self, amt: int | None = None) -> bytes: ... def read1(self, n: int = -1) -> bytes: ... def readinto(self, b: WriteableBuffer) -> int: ... def readline(self, limit: int = -1) -> bytes: ... # type: ignore[override] @overload def getheader(self, name: str) -> str | None: ... @overload def getheader(self, name: str, default: _T) -> str | _T: ... def getheaders(self) -> list[tuple[str, str]]: ... def isclosed(self) -> bool: ... def __iter__(self) -> Iterator[bytes]: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: types.TracebackType | None ) -> None: ... def info(self) -> email.message.Message: ... def geturl(self) -> str: ... def getcode(self) -> int: ... def begin(self) -> None: ... class HTTPConnection: blocksize: int auto_open: int # undocumented debuglevel: int default_port: int # undocumented response_class: type[HTTPResponse] # undocumented timeout: float | None host: str port: int sock: socket | MaybeNone # can be `None` if `.connect()` was not called def __init__( self, host: str, port: int | None = None, timeout: float | None = ..., source_address: tuple[str, int] | None = None, blocksize: int = 8192, ) -> None: ... def request( self, method: str, url: str, body: _DataType | str | None = None, headers: Mapping[str, _HeaderValue] = {}, *, encode_chunked: bool = False, ) -> None: ... def getresponse(self) -> HTTPResponse: ... def set_debuglevel(self, level: int) -> None: ... if sys.version_info >= (3, 12): def get_proxy_response_headers(self) -> HTTPMessage | None: ... def set_tunnel(self, host: str, port: int | None = None, headers: Mapping[str, str] | None = None) -> None: ... def connect(self) -> None: ... def close(self) -> None: ... def putrequest(self, method: str, url: str, skip_host: bool = False, skip_accept_encoding: bool = False) -> None: ... def putheader(self, header: str | bytes, *values: _HeaderValue) -> None: ... def endheaders(self, message_body: _DataType | None = None, *, encode_chunked: bool = False) -> None: ... def send(self, data: _DataType | str) -> None: ... class HTTPSConnection(HTTPConnection): # Can be `None` if `.connect()` was not called: sock: ssl.SSLSocket | MaybeNone if sys.version_info >= (3, 12): def __init__( self, host: str, port: int | None = None, *, timeout: float | None = ..., source_address: tuple[str, int] | None = None, context: ssl.SSLContext | None = None, blocksize: int = 8192, ) -> None: ... else: def __init__( self, host: str, port: int | None = None, key_file: str | None = None, cert_file: str | None = None, timeout: float | None = ..., source_address: tuple[str, int] | None = None, *, context: ssl.SSLContext | None = None, check_hostname: bool | None = None, blocksize: int = 8192, ) -> None: ... class HTTPException(Exception): ... error = HTTPException class NotConnected(HTTPException): ... class InvalidURL(HTTPException): ... class UnknownProtocol(HTTPException): def __init__(self, version: str) -> None: ... class UnknownTransferEncoding(HTTPException): ... class UnimplementedFileMode(HTTPException): ... class IncompleteRead(HTTPException): def __init__(self, partial: bytes, expected: int | None = None) -> None: ... partial: bytes expected: int | None class ImproperConnectionState(HTTPException): ... class CannotSendRequest(ImproperConnectionState): ... class CannotSendHeader(ImproperConnectionState): ... class ResponseNotReady(ImproperConnectionState): ... class BadStatusLine(HTTPException): def __init__(self, line: str) -> None: ... class LineTooLong(HTTPException): def __init__(self, line_type: str) -> None: ... class RemoteDisconnected(ConnectionResetError, BadStatusLine): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/http/cookiejar.pyi0000644000175100017510000001501315112307767022033 0ustar00runnerrunnerimport sys from _typeshed import StrPath from collections.abc import Iterator, Sequence from http.client import HTTPResponse from re import Pattern from typing import ClassVar, TypeVar, overload from urllib.request import Request __all__ = [ "Cookie", "CookieJar", "CookiePolicy", "DefaultCookiePolicy", "FileCookieJar", "LWPCookieJar", "LoadError", "MozillaCookieJar", ] _T = TypeVar("_T") class LoadError(OSError): ... class CookieJar: non_word_re: ClassVar[Pattern[str]] # undocumented quote_re: ClassVar[Pattern[str]] # undocumented strict_domain_re: ClassVar[Pattern[str]] # undocumented domain_re: ClassVar[Pattern[str]] # undocumented dots_re: ClassVar[Pattern[str]] # undocumented magic_re: ClassVar[Pattern[str]] # undocumented def __init__(self, policy: CookiePolicy | None = None) -> None: ... def add_cookie_header(self, request: Request) -> None: ... def extract_cookies(self, response: HTTPResponse, request: Request) -> None: ... def set_policy(self, policy: CookiePolicy) -> None: ... def make_cookies(self, response: HTTPResponse, request: Request) -> Sequence[Cookie]: ... def set_cookie(self, cookie: Cookie) -> None: ... def set_cookie_if_ok(self, cookie: Cookie, request: Request) -> None: ... def clear(self, domain: str | None = None, path: str | None = None, name: str | None = None) -> None: ... def clear_session_cookies(self) -> None: ... def clear_expired_cookies(self) -> None: ... # undocumented def __iter__(self) -> Iterator[Cookie]: ... def __len__(self) -> int: ... class FileCookieJar(CookieJar): filename: str | None delayload: bool def __init__(self, filename: StrPath | None = None, delayload: bool = False, policy: CookiePolicy | None = None) -> None: ... def save(self, filename: str | None = None, ignore_discard: bool = False, ignore_expires: bool = False) -> None: ... def load(self, filename: str | None = None, ignore_discard: bool = False, ignore_expires: bool = False) -> None: ... def revert(self, filename: str | None = None, ignore_discard: bool = False, ignore_expires: bool = False) -> None: ... class MozillaCookieJar(FileCookieJar): if sys.version_info < (3, 10): header: ClassVar[str] # undocumented class LWPCookieJar(FileCookieJar): def as_lwp_str(self, ignore_discard: bool = True, ignore_expires: bool = True) -> str: ... # undocumented class CookiePolicy: netscape: bool rfc2965: bool hide_cookie2: bool def set_ok(self, cookie: Cookie, request: Request) -> bool: ... def return_ok(self, cookie: Cookie, request: Request) -> bool: ... def domain_return_ok(self, domain: str, request: Request) -> bool: ... def path_return_ok(self, path: str, request: Request) -> bool: ... class DefaultCookiePolicy(CookiePolicy): rfc2109_as_netscape: bool strict_domain: bool strict_rfc2965_unverifiable: bool strict_ns_unverifiable: bool strict_ns_domain: int strict_ns_set_initial_dollar: bool strict_ns_set_path: bool DomainStrictNoDots: ClassVar[int] DomainStrictNonDomain: ClassVar[int] DomainRFC2965Match: ClassVar[int] DomainLiberal: ClassVar[int] DomainStrict: ClassVar[int] def __init__( self, blocked_domains: Sequence[str] | None = None, allowed_domains: Sequence[str] | None = None, netscape: bool = True, rfc2965: bool = False, rfc2109_as_netscape: bool | None = None, hide_cookie2: bool = False, strict_domain: bool = False, strict_rfc2965_unverifiable: bool = True, strict_ns_unverifiable: bool = False, strict_ns_domain: int = 0, strict_ns_set_initial_dollar: bool = False, strict_ns_set_path: bool = False, secure_protocols: Sequence[str] = ("https", "wss"), ) -> None: ... def blocked_domains(self) -> tuple[str, ...]: ... def set_blocked_domains(self, blocked_domains: Sequence[str]) -> None: ... def is_blocked(self, domain: str) -> bool: ... def allowed_domains(self) -> tuple[str, ...] | None: ... def set_allowed_domains(self, allowed_domains: Sequence[str] | None) -> None: ... def is_not_allowed(self, domain: str) -> bool: ... def set_ok_version(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def set_ok_verifiability(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def set_ok_name(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def set_ok_path(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def set_ok_domain(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def set_ok_port(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def return_ok_version(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def return_ok_verifiability(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def return_ok_secure(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def return_ok_expires(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def return_ok_port(self, cookie: Cookie, request: Request) -> bool: ... # undocumented def return_ok_domain(self, cookie: Cookie, request: Request) -> bool: ... # undocumented class Cookie: version: int | None name: str value: str | None port: str | None path: str path_specified: bool secure: bool expires: int | None discard: bool comment: str | None comment_url: str | None rfc2109: bool port_specified: bool domain: str # undocumented domain_specified: bool domain_initial_dot: bool def __init__( self, version: int | None, name: str, value: str | None, # undocumented port: str | None, port_specified: bool, domain: str, domain_specified: bool, domain_initial_dot: bool, path: str, path_specified: bool, secure: bool, expires: int | None, discard: bool, comment: str | None, comment_url: str | None, rest: dict[str, str], rfc2109: bool = False, ) -> None: ... def has_nonstandard_attr(self, name: str) -> bool: ... @overload def get_nonstandard_attr(self, name: str) -> str | None: ... @overload def get_nonstandard_attr(self, name: str, default: _T) -> str | _T: ... def set_nonstandard_attr(self, name: str, value: str) -> None: ... def is_expired(self, now: int | None = None) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/http/cookies.pyi0000644000175100017510000000426515112307767021530 0ustar00runnerrunnerfrom collections.abc import Iterable, Mapping from types import GenericAlias from typing import Any, Generic, TypeVar, overload from typing_extensions import TypeAlias __all__ = ["CookieError", "BaseCookie", "SimpleCookie"] _DataType: TypeAlias = str | Mapping[str, str | Morsel[Any]] _T = TypeVar("_T") @overload def _quote(str: None) -> None: ... @overload def _quote(str: str) -> str: ... @overload def _unquote(str: None) -> None: ... @overload def _unquote(str: str) -> str: ... class CookieError(Exception): ... class Morsel(dict[str, Any], Generic[_T]): @property def value(self) -> str: ... @property def coded_value(self) -> _T: ... @property def key(self) -> str: ... def __init__(self) -> None: ... def set(self, key: str, val: str, coded_val: _T) -> None: ... def setdefault(self, key: str, val: str | None = None) -> str: ... # The dict update can also get a keywords argument so this is incompatible @overload # type: ignore[override] def update(self, values: Mapping[str, str]) -> None: ... @overload def update(self, values: Iterable[tuple[str, str]]) -> None: ... def isReservedKey(self, K: str) -> bool: ... def output(self, attrs: list[str] | None = None, header: str = "Set-Cookie:") -> str: ... __str__ = output def js_output(self, attrs: list[str] | None = None) -> str: ... def OutputString(self, attrs: list[str] | None = None) -> str: ... def __eq__(self, morsel: object) -> bool: ... def __setitem__(self, K: str, V: Any) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class BaseCookie(dict[str, Morsel[_T]], Generic[_T]): def __init__(self, input: _DataType | None = None) -> None: ... def value_decode(self, val: str) -> tuple[_T, str]: ... def value_encode(self, val: _T) -> tuple[_T, str]: ... def output(self, attrs: list[str] | None = None, header: str = "Set-Cookie:", sep: str = "\r\n") -> str: ... __str__ = output def js_output(self, attrs: list[str] | None = None) -> str: ... def load(self, rawdata: _DataType) -> None: ... def __setitem__(self, key: str, value: str | Morsel[_T]) -> None: ... class SimpleCookie(BaseCookie[str]): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/http/server.pyi0000644000175100017510000001313615112307767021377 0ustar00runnerrunnerimport _socket import email.message import io import socketserver import sys from _ssl import _PasswordType from _typeshed import ReadableBuffer, StrOrBytesPath, StrPath, SupportsRead, SupportsWrite from collections.abc import Callable, Iterable, Mapping, Sequence from ssl import Purpose, SSLContext from typing import Any, AnyStr, BinaryIO, ClassVar, Protocol, type_check_only from typing_extensions import Self, deprecated if sys.version_info >= (3, 14): __all__ = [ "HTTPServer", "ThreadingHTTPServer", "HTTPSServer", "ThreadingHTTPSServer", "BaseHTTPRequestHandler", "SimpleHTTPRequestHandler", "CGIHTTPRequestHandler", ] else: __all__ = ["HTTPServer", "ThreadingHTTPServer", "BaseHTTPRequestHandler", "SimpleHTTPRequestHandler", "CGIHTTPRequestHandler"] class HTTPServer(socketserver.TCPServer): server_name: str server_port: int class ThreadingHTTPServer(socketserver.ThreadingMixIn, HTTPServer): ... if sys.version_info >= (3, 14): @type_check_only class _SSLModule(Protocol): @staticmethod def create_default_context( purpose: Purpose = ..., *, cafile: StrOrBytesPath | None = None, capath: StrOrBytesPath | None = None, cadata: str | ReadableBuffer | None = None, ) -> SSLContext: ... class HTTPSServer(HTTPServer): ssl: _SSLModule certfile: StrOrBytesPath keyfile: StrOrBytesPath | None password: _PasswordType | None alpn_protocols: Iterable[str] def __init__( self, server_address: socketserver._AfInetAddress, RequestHandlerClass: Callable[[Any, _socket._RetAddress, Self], socketserver.BaseRequestHandler], bind_and_activate: bool = True, *, certfile: StrOrBytesPath, keyfile: StrOrBytesPath | None = None, password: _PasswordType | None = None, alpn_protocols: Iterable[str] | None = None, ) -> None: ... def server_activate(self) -> None: ... class ThreadingHTTPSServer(socketserver.ThreadingMixIn, HTTPSServer): ... class BaseHTTPRequestHandler(socketserver.StreamRequestHandler): client_address: tuple[str, int] close_connection: bool requestline: str command: str path: str request_version: str headers: email.message.Message server_version: str sys_version: str error_message_format: str error_content_type: str protocol_version: str MessageClass: type responses: Mapping[int, tuple[str, str]] default_request_version: str # undocumented weekdayname: ClassVar[Sequence[str]] # undocumented monthname: ClassVar[Sequence[str | None]] # undocumented def handle_one_request(self) -> None: ... def handle_expect_100(self) -> bool: ... def send_error(self, code: int, message: str | None = None, explain: str | None = None) -> None: ... def send_response(self, code: int, message: str | None = None) -> None: ... def send_header(self, keyword: str, value: str) -> None: ... def send_response_only(self, code: int, message: str | None = None) -> None: ... def end_headers(self) -> None: ... def flush_headers(self) -> None: ... def log_request(self, code: int | str = "-", size: int | str = "-") -> None: ... def log_error(self, format: str, *args: Any) -> None: ... def log_message(self, format: str, *args: Any) -> None: ... def version_string(self) -> str: ... def date_time_string(self, timestamp: float | None = None) -> str: ... def log_date_time_string(self) -> str: ... def address_string(self) -> str: ... def parse_request(self) -> bool: ... # undocumented class SimpleHTTPRequestHandler(BaseHTTPRequestHandler): extensions_map: dict[str, str] if sys.version_info >= (3, 12): index_pages: ClassVar[tuple[str, ...]] directory: str def __init__( self, request: socketserver._RequestType, client_address: _socket._RetAddress, server: socketserver.BaseServer, *, directory: StrPath | None = None, ) -> None: ... def do_GET(self) -> None: ... def do_HEAD(self) -> None: ... def send_head(self) -> io.BytesIO | BinaryIO | None: ... # undocumented def list_directory(self, path: StrPath) -> io.BytesIO | None: ... # undocumented def translate_path(self, path: str) -> str: ... # undocumented def copyfile(self, source: SupportsRead[AnyStr], outputfile: SupportsWrite[AnyStr]) -> None: ... # undocumented def guess_type(self, path: StrPath) -> str: ... # undocumented def executable(path: StrPath) -> bool: ... # undocumented if sys.version_info >= (3, 13): @deprecated("Deprecated since Python 3.13; will be removed in Python 3.15.") class CGIHTTPRequestHandler(SimpleHTTPRequestHandler): cgi_directories: list[str] have_fork: bool # undocumented def do_POST(self) -> None: ... def is_cgi(self) -> bool: ... # undocumented def is_executable(self, path: StrPath) -> bool: ... # undocumented def is_python(self, path: StrPath) -> bool: ... # undocumented def run_cgi(self) -> None: ... # undocumented else: class CGIHTTPRequestHandler(SimpleHTTPRequestHandler): cgi_directories: list[str] have_fork: bool # undocumented def do_POST(self) -> None: ... def is_cgi(self) -> bool: ... # undocumented def is_executable(self, path: StrPath) -> bool: ... # undocumented def is_python(self, path: StrPath) -> bool: ... # undocumented def run_cgi(self) -> None: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/imaplib.pyi0000644000175100017510000002016315112307767020525 0ustar00runnerrunnerimport subprocess import sys import time from _typeshed import ReadableBuffer, SizedBuffer, Unused from builtins import list as _list # conflicts with a method named "list" from collections.abc import Callable, Generator from datetime import datetime from re import Pattern from socket import socket as _socket from ssl import SSLContext, SSLSocket from types import TracebackType from typing import IO, Any, Literal, SupportsAbs, SupportsInt from typing_extensions import Self, TypeAlias, deprecated __all__ = ["IMAP4", "IMAP4_stream", "Internaldate2tuple", "Int2AP", "ParseFlags", "Time2Internaldate", "IMAP4_SSL"] # TODO: Commands should use their actual return types, not this type alias. # E.g. Tuple[Literal["OK"], List[bytes]] _CommandResults: TypeAlias = tuple[str, list[Any]] _AnyResponseData: TypeAlias = list[None] | list[bytes | tuple[bytes, bytes]] Commands: dict[str, tuple[str, ...]] class IMAP4: class error(Exception): ... class abort(error): ... class readonly(abort): ... utf8_enabled: bool mustquote: Pattern[str] debug: int state: str literal: str | None tagged_commands: dict[bytes, _list[bytes] | None] untagged_responses: dict[str, _list[bytes | tuple[bytes, bytes]]] continuation_response: str is_readonly: bool tagnum: int tagpre: str tagre: Pattern[str] welcome: bytes capabilities: tuple[str, ...] PROTOCOL_VERSION: str def __init__(self, host: str = "", port: int = 143, timeout: float | None = None) -> None: ... def open(self, host: str = "", port: int = 143, timeout: float | None = None) -> None: ... if sys.version_info >= (3, 14): @property @deprecated("IMAP4.file is unsupported, can cause errors, and may be removed.") def file(self) -> IO[str] | IO[bytes]: ... else: file: IO[str] | IO[bytes] def __getattr__(self, attr: str) -> Any: ... host: str port: int sock: _socket def read(self, size: int) -> bytes: ... def readline(self) -> bytes: ... def send(self, data: ReadableBuffer) -> None: ... def shutdown(self) -> None: ... def socket(self) -> _socket: ... def recent(self) -> _CommandResults: ... def response(self, code: str) -> _CommandResults: ... def append(self, mailbox: str, flags: str, date_time: str, message: ReadableBuffer) -> str: ... def authenticate(self, mechanism: str, authobject: Callable[[bytes], bytes | None]) -> tuple[str, str]: ... def capability(self) -> _CommandResults: ... def check(self) -> _CommandResults: ... def close(self) -> _CommandResults: ... def copy(self, message_set: str, new_mailbox: str) -> _CommandResults: ... def create(self, mailbox: str) -> _CommandResults: ... def delete(self, mailbox: str) -> _CommandResults: ... def deleteacl(self, mailbox: str, who: str) -> _CommandResults: ... def enable(self, capability: str) -> _CommandResults: ... def __enter__(self) -> Self: ... def __exit__(self, t: type[BaseException] | None, v: BaseException | None, tb: TracebackType | None) -> None: ... def expunge(self) -> _CommandResults: ... def fetch(self, message_set: str, message_parts: str) -> tuple[str, _AnyResponseData]: ... def getacl(self, mailbox: str) -> _CommandResults: ... def getannotation(self, mailbox: str, entry: str, attribute: str) -> _CommandResults: ... def getquota(self, root: str) -> _CommandResults: ... def getquotaroot(self, mailbox: str) -> _CommandResults: ... if sys.version_info >= (3, 14): def idle(self, duration: float | None = None) -> Idler: ... def list(self, directory: str = '""', pattern: str = "*") -> tuple[str, _AnyResponseData]: ... def login(self, user: str, password: str) -> tuple[Literal["OK"], _list[bytes]]: ... def login_cram_md5(self, user: str, password: str) -> _CommandResults: ... def logout(self) -> tuple[str, _AnyResponseData]: ... def lsub(self, directory: str = '""', pattern: str = "*") -> _CommandResults: ... def myrights(self, mailbox: str) -> _CommandResults: ... def namespace(self) -> _CommandResults: ... def noop(self) -> tuple[str, _list[bytes]]: ... def partial(self, message_num: str, message_part: str, start: str, length: str) -> _CommandResults: ... def proxyauth(self, user: str) -> _CommandResults: ... def rename(self, oldmailbox: str, newmailbox: str) -> _CommandResults: ... def search(self, charset: str | None, *criteria: str) -> _CommandResults: ... def select(self, mailbox: str = "INBOX", readonly: bool = False) -> tuple[str, _list[bytes | None]]: ... def setacl(self, mailbox: str, who: str, what: str) -> _CommandResults: ... def setannotation(self, *args: str) -> _CommandResults: ... def setquota(self, root: str, limits: str) -> _CommandResults: ... def sort(self, sort_criteria: str, charset: str, *search_criteria: str) -> _CommandResults: ... def starttls(self, ssl_context: Any | None = None) -> tuple[Literal["OK"], _list[None]]: ... def status(self, mailbox: str, names: str) -> _CommandResults: ... def store(self, message_set: str, command: str, flags: str) -> _CommandResults: ... def subscribe(self, mailbox: str) -> _CommandResults: ... def thread(self, threading_algorithm: str, charset: str, *search_criteria: str) -> _CommandResults: ... def uid(self, command: str, *args: str) -> _CommandResults: ... def unsubscribe(self, mailbox: str) -> _CommandResults: ... def unselect(self) -> _CommandResults: ... def xatom(self, name: str, *args: str) -> _CommandResults: ... def print_log(self) -> None: ... if sys.version_info >= (3, 14): class Idler: def __init__(self, imap: IMAP4, duration: float | None = None) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, exc_type: object, exc_val: Unused, exc_tb: Unused) -> Literal[False]: ... def __iter__(self) -> Self: ... def __next__(self) -> tuple[str, float | None]: ... def burst(self, interval: float = 0.1) -> Generator[tuple[str, float | None]]: ... class IMAP4_SSL(IMAP4): if sys.version_info < (3, 12): keyfile: str certfile: str if sys.version_info >= (3, 12): def __init__( self, host: str = "", port: int = 993, *, ssl_context: SSLContext | None = None, timeout: float | None = None ) -> None: ... else: def __init__( self, host: str = "", port: int = 993, keyfile: str | None = None, certfile: str | None = None, ssl_context: SSLContext | None = None, timeout: float | None = None, ) -> None: ... sslobj: SSLSocket if sys.version_info >= (3, 14): @property @deprecated("IMAP4_SSL.file is unsupported, can cause errors, and may be removed.") def file(self) -> IO[Any]: ... else: file: IO[Any] def open(self, host: str = "", port: int | None = 993, timeout: float | None = None) -> None: ... def ssl(self) -> SSLSocket: ... class IMAP4_stream(IMAP4): command: str def __init__(self, command: str) -> None: ... if sys.version_info >= (3, 14): @property @deprecated("IMAP4_stream.file is unsupported, can cause errors, and may be removed.") def file(self) -> IO[Any]: ... else: file: IO[Any] process: subprocess.Popen[bytes] writefile: IO[Any] readfile: IO[Any] def open(self, host: str | None = None, port: int | None = None, timeout: float | None = None) -> None: ... class _Authenticator: mech: Callable[[bytes], bytes | bytearray | memoryview | str | None] def __init__(self, mechinst: Callable[[bytes], bytes | bytearray | memoryview | str | None]) -> None: ... def process(self, data: str) -> str: ... def encode(self, inp: bytes | bytearray | memoryview) -> str: ... def decode(self, inp: str | SizedBuffer) -> bytes: ... def Internaldate2tuple(resp: ReadableBuffer) -> time.struct_time | None: ... def Int2AP(num: SupportsAbs[SupportsInt]) -> bytes: ... def ParseFlags(resp: ReadableBuffer) -> tuple[bytes, ...]: ... def Time2Internaldate(date_time: float | time.struct_time | time._TimeTuple | datetime | str) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/imghdr.pyi0000644000175100017510000000103515112307767020357 0ustar00runnerrunnerfrom _typeshed import StrPath from collections.abc import Callable from typing import Any, BinaryIO, Protocol, overload, type_check_only __all__ = ["what"] @type_check_only class _ReadableBinary(Protocol): def tell(self) -> int: ... def read(self, size: int, /) -> bytes: ... def seek(self, offset: int, /) -> Any: ... @overload def what(file: StrPath | _ReadableBinary, h: None = None) -> str | None: ... @overload def what(file: Any, h: bytes) -> str | None: ... tests: list[Callable[[bytes, BinaryIO | None], str | None]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/imp.pyi0000644000175100017510000000466415112307767017705 0ustar00runnerrunnerimport types from _imp import ( acquire_lock as acquire_lock, create_dynamic as create_dynamic, get_frozen_object as get_frozen_object, init_frozen as init_frozen, is_builtin as is_builtin, is_frozen as is_frozen, is_frozen_package as is_frozen_package, lock_held as lock_held, release_lock as release_lock, ) from _typeshed import StrPath from os import PathLike from types import TracebackType from typing import IO, Any, Final, Protocol, type_check_only SEARCH_ERROR: Final = 0 PY_SOURCE: Final = 1 PY_COMPILED: Final = 2 C_EXTENSION: Final = 3 PY_RESOURCE: Final = 4 PKG_DIRECTORY: Final = 5 C_BUILTIN: Final = 6 PY_FROZEN: Final = 7 PY_CODERESOURCE: Final = 8 IMP_HOOK: Final = 9 def new_module(name: str) -> types.ModuleType: ... def get_magic() -> bytes: ... def get_tag() -> str: ... def cache_from_source(path: StrPath, debug_override: bool | None = None) -> str: ... def source_from_cache(path: StrPath) -> str: ... def get_suffixes() -> list[tuple[str, str, int]]: ... class NullImporter: def __init__(self, path: StrPath) -> None: ... def find_module(self, fullname: Any) -> None: ... # Technically, a text file has to support a slightly different set of operations than a binary file, # but we ignore that here. @type_check_only class _FileLike(Protocol): closed: bool mode: str def read(self) -> str | bytes: ... def close(self) -> Any: ... def __enter__(self) -> Any: ... def __exit__(self, typ: type[BaseException] | None, exc: BaseException | None, tb: TracebackType | None, /) -> Any: ... # PathLike doesn't work for the pathname argument here def load_source(name: str, pathname: str, file: _FileLike | None = None) -> types.ModuleType: ... def load_compiled(name: str, pathname: str, file: _FileLike | None = None) -> types.ModuleType: ... def load_package(name: str, path: StrPath) -> types.ModuleType: ... def load_module(name: str, file: _FileLike | None, filename: str, details: tuple[str, str, int]) -> types.ModuleType: ... # IO[Any] is a TextIOWrapper if name is a .py file, and a FileIO otherwise. def find_module( name: str, path: None | list[str] | list[PathLike[str]] | list[StrPath] = None ) -> tuple[IO[Any], str, tuple[str, str, int]]: ... def reload(module: types.ModuleType) -> types.ModuleType: ... def init_builtin(name: str) -> types.ModuleType | None: ... def load_dynamic(name: str, path: str, file: Any = None) -> types.ModuleType: ... # file argument is ignored ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5867653 mypy-1.19.0/mypy/typeshed/stdlib/importlib/0000755000175100017510000000000015112310012020335 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/__init__.pyi0000644000175100017510000000132415112307767022646 0ustar00runnerrunnerimport sys from importlib._bootstrap import __import__ as __import__ from importlib.abc import Loader from types import ModuleType from typing_extensions import deprecated __all__ = ["__import__", "import_module", "invalidate_caches", "reload"] # `importlib.import_module` return type should be kept the same as `builtins.__import__` def import_module(name: str, package: str | None = None) -> ModuleType: ... if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.4; removed in Python 3.12. Use `importlib.util.find_spec()` instead.") def find_loader(name: str, path: str | None = None) -> Loader | None: ... def invalidate_caches() -> None: ... def reload(module: ModuleType) -> ModuleType: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/_abc.pyi0000644000175100017510000000153215112307767021774 0ustar00runnerrunnerimport sys import types from abc import ABCMeta from importlib.machinery import ModuleSpec from typing_extensions import deprecated if sys.version_info >= (3, 10): class Loader(metaclass=ABCMeta): def load_module(self, fullname: str) -> types.ModuleType: ... if sys.version_info < (3, 12): @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "The module spec is now used by the import machinery to generate a module repr." ) def module_repr(self, module: types.ModuleType) -> str: ... def create_module(self, spec: ModuleSpec) -> types.ModuleType | None: ... # Not defined on the actual class for backwards-compatibility reasons, # but expected in new code. def exec_module(self, module: types.ModuleType) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/_bootstrap.pyi0000644000175100017510000000020115112307767023254 0ustar00runnerrunnerfrom _frozen_importlib import * from _frozen_importlib import __import__ as __import__, _init_module_attrs as _init_module_attrs ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/_bootstrap_external.pyi0000644000175100017510000000016515112307767025167 0ustar00runnerrunnerfrom _frozen_importlib_external import * from _frozen_importlib_external import _NamespaceLoader as _NamespaceLoader ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/abc.pyi0000644000175100017510000001766715112307767021655 0ustar00runnerrunnerimport _ast import sys import types from _typeshed import ReadableBuffer, StrPath from abc import ABCMeta, abstractmethod from collections.abc import Iterator, Mapping, Sequence from importlib import _bootstrap_external from importlib.machinery import ModuleSpec from io import BufferedReader from typing import IO, Any, Literal, Protocol, overload, runtime_checkable from typing_extensions import deprecated if sys.version_info >= (3, 11): __all__ = [ "Loader", "MetaPathFinder", "PathEntryFinder", "ResourceLoader", "InspectLoader", "ExecutionLoader", "FileLoader", "SourceLoader", ] if sys.version_info < (3, 12): __all__ += ["Finder", "ResourceReader", "Traversable", "TraversableResources"] if sys.version_info >= (3, 10): from importlib._abc import Loader as Loader else: class Loader(metaclass=ABCMeta): def load_module(self, fullname: str) -> types.ModuleType: ... def module_repr(self, module: types.ModuleType) -> str: ... def create_module(self, spec: ModuleSpec) -> types.ModuleType | None: ... # Not defined on the actual class for backwards-compatibility reasons, # but expected in new code. def exec_module(self, module: types.ModuleType) -> None: ... if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.3; removed in Python 3.12. Use `MetaPathFinder` or `PathEntryFinder` instead.") class Finder(metaclass=ABCMeta): ... @deprecated("Deprecated since Python 3.7. Use `importlib.resources.abc.TraversableResources` instead.") class ResourceLoader(Loader): @abstractmethod def get_data(self, path: str) -> bytes: ... class InspectLoader(Loader): def is_package(self, fullname: str) -> bool: ... def get_code(self, fullname: str) -> types.CodeType | None: ... @abstractmethod def get_source(self, fullname: str) -> str | None: ... def exec_module(self, module: types.ModuleType) -> None: ... @staticmethod def source_to_code( data: ReadableBuffer | str | _ast.Module | _ast.Expression | _ast.Interactive, path: bytes | StrPath = "" ) -> types.CodeType: ... class ExecutionLoader(InspectLoader): @abstractmethod def get_filename(self, fullname: str) -> str: ... class SourceLoader(_bootstrap_external.SourceLoader, ResourceLoader, ExecutionLoader, metaclass=ABCMeta): # type: ignore[misc] # incompatible definitions of source_to_code in the base classes @deprecated("Deprecated since Python 3.3. Use `importlib.resources.abc.SourceLoader.path_stats` instead.") def path_mtime(self, path: str) -> float: ... def set_data(self, path: str, data: bytes) -> None: ... def get_source(self, fullname: str) -> str | None: ... def path_stats(self, path: str) -> Mapping[str, Any]: ... # The base classes differ starting in 3.10: if sys.version_info >= (3, 10): # Please keep in sync with _typeshed.importlib.MetaPathFinderProtocol class MetaPathFinder(metaclass=ABCMeta): if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.4; removed in Python 3.12. Use `MetaPathFinder.find_spec()` instead.") def find_module(self, fullname: str, path: Sequence[str] | None) -> Loader | None: ... def invalidate_caches(self) -> None: ... # Not defined on the actual class, but expected to exist. def find_spec( self, fullname: str, path: Sequence[str] | None, target: types.ModuleType | None = ..., / ) -> ModuleSpec | None: ... class PathEntryFinder(metaclass=ABCMeta): if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.4; removed in Python 3.12. Use `PathEntryFinder.find_spec()` instead.") def find_module(self, fullname: str) -> Loader | None: ... @deprecated("Deprecated since Python 3.4; removed in Python 3.12. Use `find_spec()` instead.") def find_loader(self, fullname: str) -> tuple[Loader | None, Sequence[str]]: ... def invalidate_caches(self) -> None: ... # Not defined on the actual class, but expected to exist. def find_spec(self, fullname: str, target: types.ModuleType | None = ...) -> ModuleSpec | None: ... else: # Please keep in sync with _typeshed.importlib.MetaPathFinderProtocol class MetaPathFinder(Finder): def find_module(self, fullname: str, path: Sequence[str] | None) -> Loader | None: ... def invalidate_caches(self) -> None: ... # Not defined on the actual class, but expected to exist. def find_spec( self, fullname: str, path: Sequence[str] | None, target: types.ModuleType | None = ..., / ) -> ModuleSpec | None: ... class PathEntryFinder(Finder): def find_module(self, fullname: str) -> Loader | None: ... def find_loader(self, fullname: str) -> tuple[Loader | None, Sequence[str]]: ... def invalidate_caches(self) -> None: ... # Not defined on the actual class, but expected to exist. def find_spec(self, fullname: str, target: types.ModuleType | None = ...) -> ModuleSpec | None: ... class FileLoader(_bootstrap_external.FileLoader, ResourceLoader, ExecutionLoader, metaclass=ABCMeta): name: str path: str def __init__(self, fullname: str, path: str) -> None: ... def get_data(self, path: str) -> bytes: ... def get_filename(self, fullname: str | None = None) -> str: ... def load_module(self, fullname: str | None = None) -> types.ModuleType: ... if sys.version_info < (3, 11): class ResourceReader(metaclass=ABCMeta): @abstractmethod def open_resource(self, resource: str) -> IO[bytes]: ... @abstractmethod def resource_path(self, resource: str) -> str: ... if sys.version_info >= (3, 10): @abstractmethod def is_resource(self, path: str) -> bool: ... else: @abstractmethod def is_resource(self, name: str) -> bool: ... @abstractmethod def contents(self) -> Iterator[str]: ... @runtime_checkable class Traversable(Protocol): @abstractmethod def is_dir(self) -> bool: ... @abstractmethod def is_file(self) -> bool: ... @abstractmethod def iterdir(self) -> Iterator[Traversable]: ... if sys.version_info >= (3, 11): @abstractmethod def joinpath(self, *descendants: str) -> Traversable: ... else: @abstractmethod def joinpath(self, child: str, /) -> Traversable: ... # The documentation and runtime protocol allows *args, **kwargs arguments, # but this would mean that all implementers would have to support them, # which is not the case. @overload @abstractmethod def open(self, mode: Literal["r"] = "r", *, encoding: str | None = None, errors: str | None = None) -> IO[str]: ... @overload @abstractmethod def open(self, mode: Literal["rb"]) -> IO[bytes]: ... @property @abstractmethod def name(self) -> str: ... if sys.version_info >= (3, 10): def __truediv__(self, child: str, /) -> Traversable: ... else: @abstractmethod def __truediv__(self, child: str, /) -> Traversable: ... @abstractmethod def read_bytes(self) -> bytes: ... @abstractmethod def read_text(self, encoding: str | None = None) -> str: ... class TraversableResources(ResourceReader): @abstractmethod def files(self) -> Traversable: ... def open_resource(self, resource: str) -> BufferedReader: ... def resource_path(self, resource: Any) -> str: ... def is_resource(self, path: str) -> bool: ... def contents(self) -> Iterator[str]: ... elif sys.version_info < (3, 14): from importlib.resources.abc import ( ResourceReader as ResourceReader, Traversable as Traversable, TraversableResources as TraversableResources, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/machinery.pyi0000644000175100017510000000273715112307767023077 0ustar00runnerrunnerimport sys from importlib._bootstrap import BuiltinImporter as BuiltinImporter, FrozenImporter as FrozenImporter, ModuleSpec as ModuleSpec from importlib._bootstrap_external import ( BYTECODE_SUFFIXES as BYTECODE_SUFFIXES, DEBUG_BYTECODE_SUFFIXES as DEBUG_BYTECODE_SUFFIXES, EXTENSION_SUFFIXES as EXTENSION_SUFFIXES, OPTIMIZED_BYTECODE_SUFFIXES as OPTIMIZED_BYTECODE_SUFFIXES, SOURCE_SUFFIXES as SOURCE_SUFFIXES, ExtensionFileLoader as ExtensionFileLoader, FileFinder as FileFinder, PathFinder as PathFinder, SourceFileLoader as SourceFileLoader, SourcelessFileLoader as SourcelessFileLoader, WindowsRegistryFinder as WindowsRegistryFinder, ) if sys.version_info >= (3, 11): from importlib._bootstrap_external import NamespaceLoader as NamespaceLoader if sys.version_info >= (3, 14): from importlib._bootstrap_external import AppleFrameworkLoader as AppleFrameworkLoader def all_suffixes() -> list[str]: ... if sys.version_info >= (3, 14): __all__ = [ "AppleFrameworkLoader", "BYTECODE_SUFFIXES", "BuiltinImporter", "DEBUG_BYTECODE_SUFFIXES", "EXTENSION_SUFFIXES", "ExtensionFileLoader", "FileFinder", "FrozenImporter", "ModuleSpec", "NamespaceLoader", "OPTIMIZED_BYTECODE_SUFFIXES", "PathFinder", "SOURCE_SUFFIXES", "SourceFileLoader", "SourcelessFileLoader", "WindowsRegistryFinder", "all_suffixes", ] ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5867653 mypy-1.19.0/mypy/typeshed/stdlib/importlib/metadata/0000755000175100017510000000000015112310012022115 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/metadata/__init__.pyi0000644000175100017510000002437015112307767024434 0ustar00runnerrunnerimport abc import pathlib import sys import types from _collections_abc import dict_keys, dict_values from _typeshed import StrPath from collections.abc import Iterable, Iterator, Mapping from email.message import Message from importlib.abc import MetaPathFinder from os import PathLike from pathlib import Path from re import Pattern from typing import Any, ClassVar, Generic, NamedTuple, TypeVar, overload from typing_extensions import Self, TypeAlias, deprecated, disjoint_base _T = TypeVar("_T") _KT = TypeVar("_KT") _VT = TypeVar("_VT") __all__ = [ "Distribution", "DistributionFinder", "PackageNotFoundError", "distribution", "distributions", "entry_points", "files", "metadata", "requires", "version", ] if sys.version_info >= (3, 10): __all__ += ["PackageMetadata", "packages_distributions"] if sys.version_info >= (3, 10): from importlib.metadata._meta import PackageMetadata as PackageMetadata, SimplePath def packages_distributions() -> Mapping[str, list[str]]: ... _SimplePath: TypeAlias = SimplePath else: _SimplePath: TypeAlias = Path class PackageNotFoundError(ModuleNotFoundError): @property def name(self) -> str: ... # type: ignore[override] if sys.version_info >= (3, 13): _EntryPointBase = object elif sys.version_info >= (3, 11): class DeprecatedTuple: def __getitem__(self, item: int) -> str: ... _EntryPointBase = DeprecatedTuple else: class _EntryPointBase(NamedTuple): name: str value: str group: str if sys.version_info >= (3, 11): class EntryPoint(_EntryPointBase): pattern: ClassVar[Pattern[str]] name: str value: str group: str def __init__(self, name: str, value: str, group: str) -> None: ... def load(self) -> Any: ... # Callable[[], Any] or an importable module @property def extras(self) -> list[str]: ... @property def module(self) -> str: ... @property def attr(self) -> str: ... dist: ClassVar[Distribution | None] def matches( self, *, name: str = ..., value: str = ..., group: str = ..., module: str = ..., attr: str = ..., extras: list[str] = ..., ) -> bool: ... # undocumented def __hash__(self) -> int: ... def __eq__(self, other: object) -> bool: ... def __lt__(self, other: object) -> bool: ... if sys.version_info < (3, 12): def __iter__(self) -> Iterator[Any]: ... # result of iter((str, Self)), really else: @disjoint_base class EntryPoint(_EntryPointBase): pattern: ClassVar[Pattern[str]] def load(self) -> Any: ... # Callable[[], Any] or an importable module @property def extras(self) -> list[str]: ... @property def module(self) -> str: ... @property def attr(self) -> str: ... if sys.version_info >= (3, 10): dist: ClassVar[Distribution | None] def matches( self, *, name: str = ..., value: str = ..., group: str = ..., module: str = ..., attr: str = ..., extras: list[str] = ..., ) -> bool: ... # undocumented def __hash__(self) -> int: ... def __iter__(self) -> Iterator[Any]: ... # result of iter((str, Self)), really if sys.version_info >= (3, 12): class EntryPoints(tuple[EntryPoint, ...]): __slots__ = () def __getitem__(self, name: str) -> EntryPoint: ... # type: ignore[override] def select( self, *, name: str = ..., value: str = ..., group: str = ..., module: str = ..., attr: str = ..., extras: list[str] = ..., ) -> EntryPoints: ... @property def names(self) -> set[str]: ... @property def groups(self) -> set[str]: ... elif sys.version_info >= (3, 10): class DeprecatedList(list[_T]): __slots__ = () class EntryPoints(DeprecatedList[EntryPoint]): # use as list is deprecated since 3.10 # int argument is deprecated since 3.10 __slots__ = () def __getitem__(self, name: int | str) -> EntryPoint: ... # type: ignore[override] def select( self, *, name: str = ..., value: str = ..., group: str = ..., module: str = ..., attr: str = ..., extras: list[str] = ..., ) -> EntryPoints: ... @property def names(self) -> set[str]: ... @property def groups(self) -> set[str]: ... if sys.version_info >= (3, 10) and sys.version_info < (3, 12): class Deprecated(Generic[_KT, _VT]): def __getitem__(self, name: _KT) -> _VT: ... @overload def get(self, name: _KT, default: None = None) -> _VT | None: ... @overload def get(self, name: _KT, default: _VT) -> _VT: ... @overload def get(self, name: _KT, default: _T) -> _VT | _T: ... def __iter__(self) -> Iterator[_KT]: ... def __contains__(self, *args: object) -> bool: ... def keys(self) -> dict_keys[_KT, _VT]: ... def values(self) -> dict_values[_KT, _VT]: ... @deprecated("Deprecated since Python 3.10; removed in Python 3.12. Use `select` instead.") class SelectableGroups(Deprecated[str, EntryPoints], dict[str, EntryPoints]): # use as dict is deprecated since 3.10 @classmethod def load(cls, eps: Iterable[EntryPoint]) -> Self: ... @property def groups(self) -> set[str]: ... @property def names(self) -> set[str]: ... @overload def select(self) -> Self: ... @overload def select( self, *, name: str = ..., value: str = ..., group: str = ..., module: str = ..., attr: str = ..., extras: list[str] = ..., ) -> EntryPoints: ... class PackagePath(pathlib.PurePosixPath): def read_text(self, encoding: str = "utf-8") -> str: ... def read_binary(self) -> bytes: ... def locate(self) -> PathLike[str]: ... # The following attributes are not defined on PackagePath, but are dynamically added by Distribution.files: hash: FileHash | None size: int | None dist: Distribution class FileHash: mode: str value: str def __init__(self, spec: str) -> None: ... if sys.version_info >= (3, 12): class DeprecatedNonAbstract: ... _distribution_parent = DeprecatedNonAbstract else: _distribution_parent = object class Distribution(_distribution_parent): @abc.abstractmethod def read_text(self, filename: str) -> str | None: ... @abc.abstractmethod def locate_file(self, path: StrPath) -> _SimplePath: ... @classmethod def from_name(cls, name: str) -> Distribution: ... @overload @classmethod def discover(cls, *, context: DistributionFinder.Context) -> Iterable[Distribution]: ... @overload @classmethod def discover( cls, *, context: None = None, name: str | None = ..., path: list[str] = ..., **kwargs: Any ) -> Iterable[Distribution]: ... @staticmethod def at(path: StrPath) -> PathDistribution: ... if sys.version_info >= (3, 10): @property def metadata(self) -> PackageMetadata: ... @property def entry_points(self) -> EntryPoints: ... else: @property def metadata(self) -> Message: ... @property def entry_points(self) -> list[EntryPoint]: ... @property def version(self) -> str: ... @property def files(self) -> list[PackagePath] | None: ... @property def requires(self) -> list[str] | None: ... if sys.version_info >= (3, 10): @property def name(self) -> str: ... if sys.version_info >= (3, 13): @property def origin(self) -> types.SimpleNamespace | None: ... class DistributionFinder(MetaPathFinder): class Context: name: str | None def __init__(self, *, name: str | None = ..., path: list[str] = ..., **kwargs: Any) -> None: ... @property def path(self) -> list[str]: ... @abc.abstractmethod def find_distributions(self, context: DistributionFinder.Context = ...) -> Iterable[Distribution]: ... class MetadataPathFinder(DistributionFinder): @classmethod def find_distributions(cls, context: DistributionFinder.Context = ...) -> Iterable[PathDistribution]: ... if sys.version_info >= (3, 11): @classmethod def invalidate_caches(cls) -> None: ... elif sys.version_info >= (3, 10): # Yes, this is an instance method that has a parameter named "cls" def invalidate_caches(cls) -> None: ... class PathDistribution(Distribution): _path: _SimplePath def __init__(self, path: _SimplePath) -> None: ... def read_text(self, filename: StrPath) -> str | None: ... def locate_file(self, path: StrPath) -> _SimplePath: ... def distribution(distribution_name: str) -> Distribution: ... @overload def distributions(*, context: DistributionFinder.Context) -> Iterable[Distribution]: ... @overload def distributions( *, context: None = None, name: str | None = ..., path: list[str] = ..., **kwargs: Any ) -> Iterable[Distribution]: ... if sys.version_info >= (3, 10): def metadata(distribution_name: str) -> PackageMetadata: ... else: def metadata(distribution_name: str) -> Message: ... if sys.version_info >= (3, 12): def entry_points( *, name: str = ..., value: str = ..., group: str = ..., module: str = ..., attr: str = ..., extras: list[str] = ... ) -> EntryPoints: ... elif sys.version_info >= (3, 10): @overload def entry_points() -> SelectableGroups: ... @overload def entry_points( *, name: str = ..., value: str = ..., group: str = ..., module: str = ..., attr: str = ..., extras: list[str] = ... ) -> EntryPoints: ... else: def entry_points() -> dict[str, list[EntryPoint]]: ... def version(distribution_name: str) -> str: ... def files(distribution_name: str) -> list[PackagePath] | None: ... def requires(distribution_name: str) -> list[str] | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/metadata/_meta.pyi0000644000175100017510000000477015112307767023764 0ustar00runnerrunnerimport sys from _typeshed import StrPath from collections.abc import Iterator from os import PathLike from typing import Any, Protocol, overload from typing_extensions import TypeVar _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True, default=Any) class PackageMetadata(Protocol): def __len__(self) -> int: ... def __contains__(self, item: str) -> bool: ... def __getitem__(self, key: str) -> str: ... def __iter__(self) -> Iterator[str]: ... @property def json(self) -> dict[str, str | list[str]]: ... @overload def get_all(self, name: str, failobj: None = None) -> list[Any] | None: ... @overload def get_all(self, name: str, failobj: _T) -> list[Any] | _T: ... if sys.version_info >= (3, 12): @overload def get(self, name: str, failobj: None = None) -> str | None: ... @overload def get(self, name: str, failobj: _T) -> _T | str: ... if sys.version_info >= (3, 13): class SimplePath(Protocol): def joinpath(self, other: StrPath, /) -> SimplePath: ... def __truediv__(self, other: StrPath, /) -> SimplePath: ... # Incorrect at runtime @property def parent(self) -> PathLike[str]: ... def read_text(self, encoding: str | None = None) -> str: ... def read_bytes(self) -> bytes: ... def exists(self) -> bool: ... elif sys.version_info >= (3, 12): class SimplePath(Protocol[_T_co]): # At runtime this is defined as taking `str | _T`, but that causes trouble. # See #11436. def joinpath(self, other: str, /) -> _T_co: ... @property def parent(self) -> _T_co: ... def read_text(self) -> str: ... # As with joinpath(), this is annotated as taking `str | _T` at runtime. def __truediv__(self, other: str, /) -> _T_co: ... else: class SimplePath(Protocol): # Actually takes only self at runtime, but that's clearly wrong def joinpath(self, other: Any, /) -> SimplePath: ... # Not defined as a property at runtime, but it should be @property def parent(self) -> Any: ... def read_text(self) -> str: ... # There was a bug in `SimplePath` definition in cpython, see #8451 # Strictly speaking `__div__` was defined in 3.10, not __truediv__, # but it should have always been `__truediv__`. # Also, the runtime defines this method as taking no arguments, # which is obviously wrong. def __truediv__(self, other: Any, /) -> SimplePath: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/metadata/diagnose.pyi0000644000175100017510000000007315112307767024460 0ustar00runnerrunnerdef inspect(path: str) -> None: ... def run() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/readers.pyi0000644000175100017510000000525115112307767022537 0ustar00runnerrunner# On py311+, things are actually defined in importlib.resources.readers, # and re-exported here, # but doing it this way leads to less code duplication for us import pathlib import sys import zipfile from _typeshed import StrPath from collections.abc import Iterable, Iterator from io import BufferedReader from typing import Literal, NoReturn, TypeVar from typing_extensions import Never if sys.version_info >= (3, 10): from importlib._bootstrap_external import FileLoader from zipimport import zipimporter if sys.version_info >= (3, 11): from importlib.resources import abc else: from importlib import abc if sys.version_info >= (3, 10): if sys.version_info >= (3, 11): __all__ = ["FileReader", "ZipReader", "MultiplexedPath", "NamespaceReader"] if sys.version_info < (3, 11): _T = TypeVar("_T") def remove_duplicates(items: Iterable[_T]) -> Iterator[_T]: ... class FileReader(abc.TraversableResources): path: pathlib.Path def __init__(self, loader: FileLoader) -> None: ... def resource_path(self, resource: StrPath) -> str: ... def files(self) -> pathlib.Path: ... class ZipReader(abc.TraversableResources): prefix: str archive: str def __init__(self, loader: zipimporter, module: str) -> None: ... def open_resource(self, resource: str) -> BufferedReader: ... def is_resource(self, path: StrPath) -> bool: ... def files(self) -> zipfile.Path: ... class MultiplexedPath(abc.Traversable): def __init__(self, *paths: abc.Traversable) -> None: ... def iterdir(self) -> Iterator[abc.Traversable]: ... def read_bytes(self) -> NoReturn: ... def read_text(self, *args: Never, **kwargs: Never) -> NoReturn: ... # type: ignore[override] def is_dir(self) -> Literal[True]: ... def is_file(self) -> Literal[False]: ... if sys.version_info >= (3, 12): def joinpath(self, *descendants: str) -> abc.Traversable: ... elif sys.version_info >= (3, 11): def joinpath(self, child: str) -> abc.Traversable: ... # type: ignore[override] else: def joinpath(self, child: str) -> abc.Traversable: ... if sys.version_info < (3, 12): __truediv__ = joinpath def open(self, *args: Never, **kwargs: Never) -> NoReturn: ... # type: ignore[override] @property def name(self) -> str: ... class NamespaceReader(abc.TraversableResources): path: MultiplexedPath def __init__(self, namespace_path: Iterable[str]) -> None: ... def resource_path(self, resource: str) -> str: ... def files(self) -> MultiplexedPath: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5877655 mypy-1.19.0/mypy/typeshed/stdlib/importlib/resources/0000755000175100017510000000000015112310012022347 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/resources/__init__.pyi0000644000175100017510000000532315112307767024663 0ustar00runnerrunnerimport os import sys from collections.abc import Iterator from contextlib import AbstractContextManager from pathlib import Path from types import ModuleType from typing import Any, BinaryIO, Literal, TextIO from typing_extensions import TypeAlias, deprecated if sys.version_info >= (3, 11): from importlib.resources.abc import Traversable else: from importlib.abc import Traversable if sys.version_info >= (3, 11): from importlib.resources._common import Package as Package else: Package: TypeAlias = str | ModuleType __all__ = [ "Package", "as_file", "contents", "files", "is_resource", "open_binary", "open_text", "path", "read_binary", "read_text", ] if sys.version_info >= (3, 10): __all__ += ["ResourceReader"] if sys.version_info < (3, 13): __all__ += ["Resource"] if sys.version_info < (3, 11): Resource: TypeAlias = str | os.PathLike[Any] elif sys.version_info < (3, 13): Resource: TypeAlias = str if sys.version_info >= (3, 12): from importlib.resources._common import Anchor as Anchor __all__ += ["Anchor"] if sys.version_info >= (3, 13): from importlib.resources._functional import ( contents as contents, is_resource as is_resource, open_binary as open_binary, open_text as open_text, path as path, read_binary as read_binary, read_text as read_text, ) else: def open_binary(package: Package, resource: Resource) -> BinaryIO: ... def open_text(package: Package, resource: Resource, encoding: str = "utf-8", errors: str = "strict") -> TextIO: ... def read_binary(package: Package, resource: Resource) -> bytes: ... def read_text(package: Package, resource: Resource, encoding: str = "utf-8", errors: str = "strict") -> str: ... def path(package: Package, resource: Resource) -> AbstractContextManager[Path, Literal[False]]: ... def is_resource(package: Package, name: str) -> bool: ... if sys.version_info >= (3, 11): @deprecated("Deprecated since Python 3.11. Use `files(anchor).iterdir()`.") def contents(package: Package) -> Iterator[str]: ... else: def contents(package: Package) -> Iterator[str]: ... if sys.version_info >= (3, 11): from importlib.resources._common import as_file as as_file else: def as_file(path: Traversable) -> AbstractContextManager[Path, Literal[False]]: ... if sys.version_info >= (3, 11): from importlib.resources._common import files as files else: def files(package: Package) -> Traversable: ... if sys.version_info >= (3, 11): from importlib.resources.abc import ResourceReader as ResourceReader elif sys.version_info >= (3, 10): from importlib.abc import ResourceReader as ResourceReader ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/resources/_common.pyi0000644000175100017510000000310015112307767024542 0ustar00runnerrunnerimport sys # Even though this file is 3.11+ only, Pyright will complain in stubtest for older versions. if sys.version_info >= (3, 11): import types from collections.abc import Callable from contextlib import AbstractContextManager from importlib.resources.abc import ResourceReader, Traversable from pathlib import Path from typing import Literal, overload from typing_extensions import TypeAlias, deprecated Package: TypeAlias = str | types.ModuleType if sys.version_info >= (3, 12): Anchor: TypeAlias = Package def package_to_anchor( func: Callable[[Anchor | None], Traversable], ) -> Callable[[Anchor | None, Anchor | None], Traversable]: ... @overload def files(anchor: Anchor | None = None) -> Traversable: ... @overload @deprecated("Deprecated since Python 3.12; will be removed in Python 3.15. Use `anchor` parameter instead.") def files(package: Anchor | None = None) -> Traversable: ... else: def files(package: Package) -> Traversable: ... def get_resource_reader(package: types.ModuleType) -> ResourceReader | None: ... if sys.version_info >= (3, 12): def resolve(cand: Anchor | None) -> types.ModuleType: ... else: def resolve(cand: Package) -> types.ModuleType: ... if sys.version_info < (3, 12): def get_package(package: Package) -> types.ModuleType: ... def from_package(package: types.ModuleType) -> Traversable: ... def as_file(path: Traversable) -> AbstractContextManager[Path, Literal[False]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/resources/_functional.pyi0000644000175100017510000000307515112307767025427 0ustar00runnerrunnerimport sys # Even though this file is 3.13+ only, Pyright will complain in stubtest for older versions. if sys.version_info >= (3, 13): from _typeshed import StrPath from collections.abc import Iterator from contextlib import AbstractContextManager from importlib.resources._common import Anchor from io import TextIOWrapper from pathlib import Path from typing import BinaryIO, Literal, overload from typing_extensions import Unpack, deprecated def open_binary(anchor: Anchor, *path_names: StrPath) -> BinaryIO: ... @overload def open_text( anchor: Anchor, *path_names: Unpack[tuple[StrPath]], encoding: str | None = "utf-8", errors: str | None = "strict" ) -> TextIOWrapper: ... @overload def open_text(anchor: Anchor, *path_names: StrPath, encoding: str | None, errors: str | None = "strict") -> TextIOWrapper: ... def read_binary(anchor: Anchor, *path_names: StrPath) -> bytes: ... @overload def read_text( anchor: Anchor, *path_names: Unpack[tuple[StrPath]], encoding: str | None = "utf-8", errors: str | None = "strict" ) -> str: ... @overload def read_text(anchor: Anchor, *path_names: StrPath, encoding: str | None, errors: str | None = "strict") -> str: ... def path(anchor: Anchor, *path_names: StrPath) -> AbstractContextManager[Path, Literal[False]]: ... def is_resource(anchor: Anchor, *path_names: StrPath) -> bool: ... @deprecated("Deprecated since Python 3.11. Use `files(anchor).iterdir()`.") def contents(anchor: Anchor, *path_names: StrPath) -> Iterator[str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/resources/abc.pyi0000644000175100017510000000413115112307767023645 0ustar00runnerrunnerimport sys from abc import ABCMeta, abstractmethod from collections.abc import Iterator from io import BufferedReader from typing import IO, Any, Literal, Protocol, overload, runtime_checkable if sys.version_info >= (3, 11): class ResourceReader(metaclass=ABCMeta): @abstractmethod def open_resource(self, resource: str) -> IO[bytes]: ... @abstractmethod def resource_path(self, resource: str) -> str: ... @abstractmethod def is_resource(self, path: str) -> bool: ... @abstractmethod def contents(self) -> Iterator[str]: ... @runtime_checkable class Traversable(Protocol): @abstractmethod def is_dir(self) -> bool: ... @abstractmethod def is_file(self) -> bool: ... @abstractmethod def iterdir(self) -> Iterator[Traversable]: ... @abstractmethod def joinpath(self, *descendants: str) -> Traversable: ... # The documentation and runtime protocol allows *args, **kwargs arguments, # but this would mean that all implementers would have to support them, # which is not the case. @overload @abstractmethod def open(self, mode: Literal["r"] = "r", *, encoding: str | None = None, errors: str | None = None) -> IO[str]: ... @overload @abstractmethod def open(self, mode: Literal["rb"]) -> IO[bytes]: ... @property @abstractmethod def name(self) -> str: ... def __truediv__(self, child: str, /) -> Traversable: ... @abstractmethod def read_bytes(self) -> bytes: ... @abstractmethod def read_text(self, encoding: str | None = None) -> str: ... class TraversableResources(ResourceReader): @abstractmethod def files(self) -> Traversable: ... def open_resource(self, resource: str) -> BufferedReader: ... def resource_path(self, resource: Any) -> str: ... def is_resource(self, path: str) -> bool: ... def contents(self) -> Iterator[str]: ... __all__ = ["ResourceReader", "Traversable", "TraversableResources"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/resources/readers.pyi0000644000175100017510000000061615112307767024551 0ustar00runnerrunner# On py311+, things are actually defined here # and re-exported from importlib.readers, # but doing it this way leads to less code duplication for us import sys from collections.abc import Iterable, Iterator from typing import TypeVar if sys.version_info >= (3, 11): from importlib.readers import * _T = TypeVar("_T") def remove_duplicates(items: Iterable[_T]) -> Iterator[_T]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/resources/simple.pyi0000644000175100017510000000423015112307767024411 0ustar00runnerrunnerimport abc import sys from collections.abc import Iterator from io import TextIOWrapper from typing import IO, Any, BinaryIO, Literal, NoReturn, overload from typing_extensions import Never if sys.version_info >= (3, 11): from .abc import Traversable, TraversableResources class SimpleReader(abc.ABC): @property @abc.abstractmethod def package(self) -> str: ... @abc.abstractmethod def children(self) -> list[SimpleReader]: ... @abc.abstractmethod def resources(self) -> list[str]: ... @abc.abstractmethod def open_binary(self, resource: str) -> BinaryIO: ... @property def name(self) -> str: ... class ResourceHandle(Traversable, metaclass=abc.ABCMeta): parent: ResourceContainer def __init__(self, parent: ResourceContainer, name: str) -> None: ... def is_file(self) -> Literal[True]: ... def is_dir(self) -> Literal[False]: ... @overload def open( self, mode: Literal["r"] = "r", encoding: str | None = None, errors: str | None = None, newline: str | None = None, line_buffering: bool = False, write_through: bool = False, ) -> TextIOWrapper: ... @overload def open(self, mode: Literal["rb"]) -> BinaryIO: ... @overload def open(self, mode: str) -> IO[Any]: ... def joinpath(self, name: Never) -> NoReturn: ... # type: ignore[override] class ResourceContainer(Traversable, metaclass=abc.ABCMeta): reader: SimpleReader def __init__(self, reader: SimpleReader) -> None: ... def is_dir(self) -> Literal[True]: ... def is_file(self) -> Literal[False]: ... def iterdir(self) -> Iterator[ResourceHandle | ResourceContainer]: ... def open(self, *args: Never, **kwargs: Never) -> NoReturn: ... # type: ignore[override] if sys.version_info < (3, 12): def joinpath(self, *descendants: str) -> Traversable: ... class TraversableReader(TraversableResources, SimpleReader, metaclass=abc.ABCMeta): def files(self) -> ResourceContainer: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/simple.pyi0000644000175100017510000000054215112307767022401 0ustar00runnerrunnerimport sys if sys.version_info >= (3, 11): from .resources.simple import ( ResourceContainer as ResourceContainer, ResourceHandle as ResourceHandle, SimpleReader as SimpleReader, TraversableReader as TraversableReader, ) __all__ = ["SimpleReader", "ResourceHandle", "ResourceContainer", "TraversableReader"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/importlib/util.pyi0000644000175100017510000000542015112307767022065 0ustar00runnerrunnerimport importlib.machinery import sys import types from _typeshed import ReadableBuffer from collections.abc import Callable from importlib._bootstrap import module_from_spec as module_from_spec, spec_from_loader as spec_from_loader from importlib._bootstrap_external import ( MAGIC_NUMBER as MAGIC_NUMBER, cache_from_source as cache_from_source, decode_source as decode_source, source_from_cache as source_from_cache, spec_from_file_location as spec_from_file_location, ) from importlib.abc import Loader from types import TracebackType from typing import Literal from typing_extensions import ParamSpec, Self, deprecated _P = ParamSpec("_P") if sys.version_info < (3, 12): @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "`__name__`, `__package__` and `__loader__` are now set automatically." ) def module_for_loader(fxn: Callable[_P, types.ModuleType]) -> Callable[_P, types.ModuleType]: ... @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "`__name__`, `__package__` and `__loader__` are now set automatically." ) def set_loader(fxn: Callable[_P, types.ModuleType]) -> Callable[_P, types.ModuleType]: ... @deprecated( "Deprecated since Python 3.4; removed in Python 3.12. " "`__name__`, `__package__` and `__loader__` are now set automatically." ) def set_package(fxn: Callable[_P, types.ModuleType]) -> Callable[_P, types.ModuleType]: ... def resolve_name(name: str, package: str | None) -> str: ... def find_spec(name: str, package: str | None = None) -> importlib.machinery.ModuleSpec | None: ... class LazyLoader(Loader): def __init__(self, loader: Loader) -> None: ... @classmethod def factory(cls, loader: Loader) -> Callable[..., LazyLoader]: ... def exec_module(self, module: types.ModuleType) -> None: ... def source_hash(source_bytes: ReadableBuffer) -> bytes: ... if sys.version_info >= (3, 12): class _incompatible_extension_module_restrictions: def __init__(self, *, disable_check: bool) -> None: ... disable_check: bool old: Literal[-1, 0, 1] # exists only while entered def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... @property def override(self) -> Literal[-1, 1]: ... # undocumented if sys.version_info >= (3, 14): __all__ = [ "LazyLoader", "Loader", "MAGIC_NUMBER", "cache_from_source", "decode_source", "find_spec", "module_from_spec", "resolve_name", "source_from_cache", "source_hash", "spec_from_file_location", "spec_from_loader", ] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/inspect.pyi0000644000175100017510000005665115112307767020570 0ustar00runnerrunnerimport dis import enum import sys import types from _typeshed import AnnotationForm, StrPath from collections import OrderedDict from collections.abc import AsyncGenerator, Awaitable, Callable, Coroutine, Generator, Mapping, Sequence, Set as AbstractSet from types import ( AsyncGeneratorType, BuiltinFunctionType, BuiltinMethodType, ClassMethodDescriptorType, CodeType, CoroutineType, FrameType, FunctionType, GeneratorType, GetSetDescriptorType, LambdaType, MemberDescriptorType, MethodDescriptorType, MethodType, MethodWrapperType, ModuleType, TracebackType, WrapperDescriptorType, ) from typing import Any, ClassVar, Final, Literal, NamedTuple, Protocol, TypeVar, overload, type_check_only from typing_extensions import ParamSpec, Self, TypeAlias, TypeGuard, TypeIs, deprecated, disjoint_base if sys.version_info >= (3, 14): from annotationlib import Format if sys.version_info >= (3, 11): __all__ = [ "ArgInfo", "Arguments", "Attribute", "BlockFinder", "BoundArguments", "CORO_CLOSED", "CORO_CREATED", "CORO_RUNNING", "CORO_SUSPENDED", "CO_ASYNC_GENERATOR", "CO_COROUTINE", "CO_GENERATOR", "CO_ITERABLE_COROUTINE", "CO_NESTED", "CO_NEWLOCALS", "CO_NOFREE", "CO_OPTIMIZED", "CO_VARARGS", "CO_VARKEYWORDS", "ClassFoundException", "ClosureVars", "EndOfBlock", "FrameInfo", "FullArgSpec", "GEN_CLOSED", "GEN_CREATED", "GEN_RUNNING", "GEN_SUSPENDED", "Parameter", "Signature", "TPFLAGS_IS_ABSTRACT", "Traceback", "classify_class_attrs", "cleandoc", "currentframe", "findsource", "formatannotation", "formatannotationrelativeto", "formatargvalues", "get_annotations", "getabsfile", "getargs", "getargvalues", "getattr_static", "getblock", "getcallargs", "getclasstree", "getclosurevars", "getcomments", "getcoroutinelocals", "getcoroutinestate", "getdoc", "getfile", "getframeinfo", "getfullargspec", "getgeneratorlocals", "getgeneratorstate", "getinnerframes", "getlineno", "getmembers", "getmembers_static", "getmodule", "getmodulename", "getmro", "getouterframes", "getsource", "getsourcefile", "getsourcelines", "indentsize", "isabstract", "isasyncgen", "isasyncgenfunction", "isawaitable", "isbuiltin", "isclass", "iscode", "iscoroutine", "iscoroutinefunction", "isdatadescriptor", "isframe", "isfunction", "isgenerator", "isgeneratorfunction", "isgetsetdescriptor", "ismemberdescriptor", "ismethod", "ismethoddescriptor", "ismethodwrapper", "ismodule", "isroutine", "istraceback", "signature", "stack", "trace", "unwrap", "walktree", ] if sys.version_info >= (3, 12): __all__ += [ "markcoroutinefunction", "AGEN_CLOSED", "AGEN_CREATED", "AGEN_RUNNING", "AGEN_SUSPENDED", "getasyncgenlocals", "getasyncgenstate", "BufferFlags", ] if sys.version_info >= (3, 14): __all__ += ["CO_HAS_DOCSTRING", "CO_METHOD", "ispackage"] _P = ParamSpec("_P") _T = TypeVar("_T") _F = TypeVar("_F", bound=Callable[..., Any]) _T_contra = TypeVar("_T_contra", contravariant=True) _V_contra = TypeVar("_V_contra", contravariant=True) # # Types and members # class EndOfBlock(Exception): ... class BlockFinder: indent: int islambda: bool started: bool passline: bool indecorator: bool decoratorhasargs: bool last: int def tokeneater(self, type: int, token: str, srowcol: tuple[int, int], erowcol: tuple[int, int], line: str) -> None: ... CO_OPTIMIZED: Final = 1 CO_NEWLOCALS: Final = 2 CO_VARARGS: Final = 4 CO_VARKEYWORDS: Final = 8 CO_NESTED: Final = 16 CO_GENERATOR: Final = 32 CO_NOFREE: Final = 64 CO_COROUTINE: Final = 128 CO_ITERABLE_COROUTINE: Final = 256 CO_ASYNC_GENERATOR: Final = 512 TPFLAGS_IS_ABSTRACT: Final = 1048576 if sys.version_info >= (3, 14): CO_HAS_DOCSTRING: Final = 67108864 CO_METHOD: Final = 134217728 modulesbyfile: dict[str, Any] _GetMembersPredicateTypeGuard: TypeAlias = Callable[[Any], TypeGuard[_T]] _GetMembersPredicateTypeIs: TypeAlias = Callable[[Any], TypeIs[_T]] _GetMembersPredicate: TypeAlias = Callable[[Any], bool] _GetMembersReturn: TypeAlias = list[tuple[str, _T]] @overload def getmembers(object: object, predicate: _GetMembersPredicateTypeGuard[_T]) -> _GetMembersReturn[_T]: ... @overload def getmembers(object: object, predicate: _GetMembersPredicateTypeIs[_T]) -> _GetMembersReturn[_T]: ... @overload def getmembers(object: object, predicate: _GetMembersPredicate | None = None) -> _GetMembersReturn[Any]: ... if sys.version_info >= (3, 11): @overload def getmembers_static(object: object, predicate: _GetMembersPredicateTypeGuard[_T]) -> _GetMembersReturn[_T]: ... @overload def getmembers_static(object: object, predicate: _GetMembersPredicateTypeIs[_T]) -> _GetMembersReturn[_T]: ... @overload def getmembers_static(object: object, predicate: _GetMembersPredicate | None = None) -> _GetMembersReturn[Any]: ... def getmodulename(path: StrPath) -> str | None: ... def ismodule(object: object) -> TypeIs[ModuleType]: ... def isclass(object: object) -> TypeIs[type[Any]]: ... def ismethod(object: object) -> TypeIs[MethodType]: ... if sys.version_info >= (3, 14): # Not TypeIs because it does not return True for all modules def ispackage(object: object) -> TypeGuard[ModuleType]: ... def isfunction(object: object) -> TypeIs[FunctionType]: ... if sys.version_info >= (3, 12): def markcoroutinefunction(func: _F) -> _F: ... @overload def isgeneratorfunction(obj: Callable[..., Generator[Any, Any, Any]]) -> bool: ... @overload def isgeneratorfunction(obj: Callable[_P, Any]) -> TypeGuard[Callable[_P, GeneratorType[Any, Any, Any]]]: ... @overload def isgeneratorfunction(obj: object) -> TypeGuard[Callable[..., GeneratorType[Any, Any, Any]]]: ... @overload def iscoroutinefunction(obj: Callable[..., Coroutine[Any, Any, Any]]) -> bool: ... @overload def iscoroutinefunction(obj: Callable[_P, Awaitable[_T]]) -> TypeGuard[Callable[_P, CoroutineType[Any, Any, _T]]]: ... @overload def iscoroutinefunction(obj: Callable[_P, object]) -> TypeGuard[Callable[_P, CoroutineType[Any, Any, Any]]]: ... @overload def iscoroutinefunction(obj: object) -> TypeGuard[Callable[..., CoroutineType[Any, Any, Any]]]: ... def isgenerator(object: object) -> TypeIs[GeneratorType[Any, Any, Any]]: ... def iscoroutine(object: object) -> TypeIs[CoroutineType[Any, Any, Any]]: ... def isawaitable(object: object) -> TypeIs[Awaitable[Any]]: ... @overload def isasyncgenfunction(obj: Callable[..., AsyncGenerator[Any, Any]]) -> bool: ... @overload def isasyncgenfunction(obj: Callable[_P, Any]) -> TypeGuard[Callable[_P, AsyncGeneratorType[Any, Any]]]: ... @overload def isasyncgenfunction(obj: object) -> TypeGuard[Callable[..., AsyncGeneratorType[Any, Any]]]: ... @type_check_only class _SupportsSet(Protocol[_T_contra, _V_contra]): def __set__(self, instance: _T_contra, value: _V_contra, /) -> None: ... @type_check_only class _SupportsDelete(Protocol[_T_contra]): def __delete__(self, instance: _T_contra, /) -> None: ... def isasyncgen(object: object) -> TypeIs[AsyncGeneratorType[Any, Any]]: ... def istraceback(object: object) -> TypeIs[TracebackType]: ... def isframe(object: object) -> TypeIs[FrameType]: ... def iscode(object: object) -> TypeIs[CodeType]: ... def isbuiltin(object: object) -> TypeIs[BuiltinFunctionType]: ... if sys.version_info >= (3, 11): def ismethodwrapper(object: object) -> TypeIs[MethodWrapperType]: ... def isroutine( object: object, ) -> TypeIs[ FunctionType | LambdaType | MethodType | BuiltinFunctionType | BuiltinMethodType | WrapperDescriptorType | MethodDescriptorType | ClassMethodDescriptorType ]: ... def ismethoddescriptor(object: object) -> TypeIs[MethodDescriptorType]: ... def ismemberdescriptor(object: object) -> TypeIs[MemberDescriptorType]: ... def isabstract(object: object) -> bool: ... def isgetsetdescriptor(object: object) -> TypeIs[GetSetDescriptorType]: ... def isdatadescriptor(object: object) -> TypeIs[_SupportsSet[Any, Any] | _SupportsDelete[Any]]: ... # # Retrieving source code # _SourceObjectType: TypeAlias = ( ModuleType | type[Any] | MethodType | FunctionType | TracebackType | FrameType | CodeType | Callable[..., Any] ) def findsource(object: _SourceObjectType) -> tuple[list[str], int]: ... def getabsfile(object: _SourceObjectType, _filename: str | None = None) -> str: ... # Special-case the two most common input types here # to avoid the annoyingly vague `Sequence[str]` return type @overload def getblock(lines: list[str]) -> list[str]: ... @overload def getblock(lines: tuple[str, ...]) -> tuple[str, ...]: ... @overload def getblock(lines: Sequence[str]) -> Sequence[str]: ... def getdoc(object: object) -> str | None: ... def getcomments(object: object) -> str | None: ... def getfile(object: _SourceObjectType) -> str: ... def getmodule(object: object, _filename: str | None = None) -> ModuleType | None: ... def getsourcefile(object: _SourceObjectType) -> str | None: ... def getsourcelines(object: _SourceObjectType) -> tuple[list[str], int]: ... def getsource(object: _SourceObjectType) -> str: ... def cleandoc(doc: str) -> str: ... def indentsize(line: str) -> int: ... _IntrospectableCallable: TypeAlias = Callable[..., Any] # # Introspecting callables with the Signature object # if sys.version_info >= (3, 14): def signature( obj: _IntrospectableCallable, *, follow_wrapped: bool = True, globals: Mapping[str, Any] | None = None, locals: Mapping[str, Any] | None = None, eval_str: bool = False, annotation_format: Format = Format.VALUE, # noqa: Y011 ) -> Signature: ... elif sys.version_info >= (3, 10): def signature( obj: _IntrospectableCallable, *, follow_wrapped: bool = True, globals: Mapping[str, Any] | None = None, locals: Mapping[str, Any] | None = None, eval_str: bool = False, ) -> Signature: ... else: def signature(obj: _IntrospectableCallable, *, follow_wrapped: bool = True) -> Signature: ... class _void: ... class _empty: ... class Signature: __slots__ = ("_return_annotation", "_parameters") def __init__( self, parameters: Sequence[Parameter] | None = None, *, return_annotation: Any = ..., __validate_parameters__: bool = True ) -> None: ... empty = _empty @property def parameters(self) -> types.MappingProxyType[str, Parameter]: ... @property def return_annotation(self) -> Any: ... def bind(self, *args: Any, **kwargs: Any) -> BoundArguments: ... def bind_partial(self, *args: Any, **kwargs: Any) -> BoundArguments: ... def replace(self, *, parameters: Sequence[Parameter] | type[_void] | None = ..., return_annotation: Any = ...) -> Self: ... __replace__ = replace if sys.version_info >= (3, 14): @classmethod def from_callable( cls, obj: _IntrospectableCallable, *, follow_wrapped: bool = True, globals: Mapping[str, Any] | None = None, locals: Mapping[str, Any] | None = None, eval_str: bool = False, annotation_format: Format = Format.VALUE, # noqa: Y011 ) -> Self: ... elif sys.version_info >= (3, 10): @classmethod def from_callable( cls, obj: _IntrospectableCallable, *, follow_wrapped: bool = True, globals: Mapping[str, Any] | None = None, locals: Mapping[str, Any] | None = None, eval_str: bool = False, ) -> Self: ... else: @classmethod def from_callable(cls, obj: _IntrospectableCallable, *, follow_wrapped: bool = True) -> Self: ... if sys.version_info >= (3, 14): def format(self, *, max_width: int | None = None, quote_annotation_strings: bool = True) -> str: ... elif sys.version_info >= (3, 13): def format(self, *, max_width: int | None = None) -> str: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... if sys.version_info >= (3, 14): from annotationlib import get_annotations as get_annotations elif sys.version_info >= (3, 10): def get_annotations( obj: Callable[..., object] | type[object] | ModuleType, # any callable, class, or module *, globals: Mapping[str, Any] | None = None, # value types depend on the key locals: Mapping[str, Any] | None = None, # value types depend on the key eval_str: bool = False, ) -> dict[str, AnnotationForm]: ... # values are type expressions # The name is the same as the enum's name in CPython class _ParameterKind(enum.IntEnum): POSITIONAL_ONLY = 0 POSITIONAL_OR_KEYWORD = 1 VAR_POSITIONAL = 2 KEYWORD_ONLY = 3 VAR_KEYWORD = 4 @property def description(self) -> str: ... if sys.version_info >= (3, 12): AGEN_CREATED: Final = "AGEN_CREATED" AGEN_RUNNING: Final = "AGEN_RUNNING" AGEN_SUSPENDED: Final = "AGEN_SUSPENDED" AGEN_CLOSED: Final = "AGEN_CLOSED" def getasyncgenstate( agen: AsyncGenerator[Any, Any], ) -> Literal["AGEN_CREATED", "AGEN_RUNNING", "AGEN_SUSPENDED", "AGEN_CLOSED"]: ... def getasyncgenlocals(agen: AsyncGeneratorType[Any, Any]) -> dict[str, Any]: ... class Parameter: __slots__ = ("_name", "_kind", "_default", "_annotation") def __init__(self, name: str, kind: _ParameterKind, *, default: Any = ..., annotation: Any = ...) -> None: ... empty = _empty POSITIONAL_ONLY: ClassVar[Literal[_ParameterKind.POSITIONAL_ONLY]] POSITIONAL_OR_KEYWORD: ClassVar[Literal[_ParameterKind.POSITIONAL_OR_KEYWORD]] VAR_POSITIONAL: ClassVar[Literal[_ParameterKind.VAR_POSITIONAL]] KEYWORD_ONLY: ClassVar[Literal[_ParameterKind.KEYWORD_ONLY]] VAR_KEYWORD: ClassVar[Literal[_ParameterKind.VAR_KEYWORD]] @property def name(self) -> str: ... @property def default(self) -> Any: ... @property def kind(self) -> _ParameterKind: ... @property def annotation(self) -> Any: ... def replace( self, *, name: str | type[_void] = ..., kind: _ParameterKind | type[_void] = ..., default: Any = ..., annotation: Any = ..., ) -> Self: ... if sys.version_info >= (3, 13): __replace__ = replace def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... class BoundArguments: __slots__ = ("arguments", "_signature", "__weakref__") arguments: OrderedDict[str, Any] @property def args(self) -> tuple[Any, ...]: ... @property def kwargs(self) -> dict[str, Any]: ... @property def signature(self) -> Signature: ... def __init__(self, signature: Signature, arguments: OrderedDict[str, Any]) -> None: ... def apply_defaults(self) -> None: ... def __eq__(self, other: object) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] # # Classes and functions # _ClassTreeItem: TypeAlias = list[tuple[type, ...]] | list[_ClassTreeItem] def getclasstree(classes: list[type], unique: bool = False) -> _ClassTreeItem: ... def walktree(classes: list[type], children: Mapping[type[Any], list[type]], parent: type[Any] | None) -> _ClassTreeItem: ... class Arguments(NamedTuple): args: list[str] varargs: str | None varkw: str | None def getargs(co: CodeType) -> Arguments: ... if sys.version_info < (3, 11): @deprecated("Deprecated since Python 3.0; removed in Python 3.11.") class ArgSpec(NamedTuple): args: list[str] varargs: str | None keywords: str | None defaults: tuple[Any, ...] @deprecated("Deprecated since Python 3.0; removed in Python 3.11. Use `inspect.signature()` instead.") def getargspec(func: object) -> ArgSpec: ... class FullArgSpec(NamedTuple): args: list[str] varargs: str | None varkw: str | None defaults: tuple[Any, ...] | None kwonlyargs: list[str] kwonlydefaults: dict[str, Any] | None annotations: dict[str, Any] def getfullargspec(func: object) -> FullArgSpec: ... class ArgInfo(NamedTuple): args: list[str] varargs: str | None keywords: str | None locals: dict[str, Any] def getargvalues(frame: FrameType) -> ArgInfo: ... if sys.version_info >= (3, 14): def formatannotation(annotation: object, base_module: str | None = None, *, quote_annotation_strings: bool = True) -> str: ... else: def formatannotation(annotation: object, base_module: str | None = None) -> str: ... def formatannotationrelativeto(object: object) -> Callable[[object], str]: ... if sys.version_info < (3, 11): @deprecated( "Deprecated since Python 3.5; removed in Python 3.11. Use `inspect.signature()` and the `Signature` class instead." ) def formatargspec( args: list[str], varargs: str | None = None, varkw: str | None = None, defaults: tuple[Any, ...] | None = None, kwonlyargs: Sequence[str] | None = (), kwonlydefaults: Mapping[str, Any] | None = {}, annotations: Mapping[str, Any] = {}, formatarg: Callable[[str], str] = ..., formatvarargs: Callable[[str], str] = ..., formatvarkw: Callable[[str], str] = ..., formatvalue: Callable[[Any], str] = ..., formatreturns: Callable[[Any], str] = ..., formatannotation: Callable[[Any], str] = ..., ) -> str: ... def formatargvalues( args: list[str], varargs: str | None, varkw: str | None, locals: Mapping[str, Any] | None, formatarg: Callable[[str], str] | None = ..., formatvarargs: Callable[[str], str] | None = ..., formatvarkw: Callable[[str], str] | None = ..., formatvalue: Callable[[Any], str] | None = ..., ) -> str: ... def getmro(cls: type) -> tuple[type, ...]: ... def getcallargs(func: Callable[_P, Any], /, *args: _P.args, **kwds: _P.kwargs) -> dict[str, Any]: ... class ClosureVars(NamedTuple): nonlocals: Mapping[str, Any] globals: Mapping[str, Any] builtins: Mapping[str, Any] unbound: AbstractSet[str] def getclosurevars(func: _IntrospectableCallable) -> ClosureVars: ... def unwrap(func: Callable[..., Any], *, stop: Callable[[Callable[..., Any]], Any] | None = None) -> Any: ... # # The interpreter stack # if sys.version_info >= (3, 11): class _Traceback(NamedTuple): filename: str lineno: int function: str code_context: list[str] | None index: int | None # type: ignore[assignment] class _FrameInfo(NamedTuple): frame: FrameType filename: str lineno: int function: str code_context: list[str] | None index: int | None # type: ignore[assignment] if sys.version_info >= (3, 12): class Traceback(_Traceback): positions: dis.Positions | None def __new__( cls, filename: str, lineno: int, function: str, code_context: list[str] | None, index: int | None, *, positions: dis.Positions | None = None, ) -> Self: ... class FrameInfo(_FrameInfo): positions: dis.Positions | None def __new__( cls, frame: FrameType, filename: str, lineno: int, function: str, code_context: list[str] | None, index: int | None, *, positions: dis.Positions | None = None, ) -> Self: ... else: @disjoint_base class Traceback(_Traceback): positions: dis.Positions | None def __new__( cls, filename: str, lineno: int, function: str, code_context: list[str] | None, index: int | None, *, positions: dis.Positions | None = None, ) -> Self: ... @disjoint_base class FrameInfo(_FrameInfo): positions: dis.Positions | None def __new__( cls, frame: FrameType, filename: str, lineno: int, function: str, code_context: list[str] | None, index: int | None, *, positions: dis.Positions | None = None, ) -> Self: ... else: class Traceback(NamedTuple): filename: str lineno: int function: str code_context: list[str] | None index: int | None # type: ignore[assignment] class FrameInfo(NamedTuple): frame: FrameType filename: str lineno: int function: str code_context: list[str] | None index: int | None # type: ignore[assignment] def getframeinfo(frame: FrameType | TracebackType, context: int = 1) -> Traceback: ... def getouterframes(frame: Any, context: int = 1) -> list[FrameInfo]: ... def getinnerframes(tb: TracebackType, context: int = 1) -> list[FrameInfo]: ... def getlineno(frame: FrameType) -> int: ... def currentframe() -> FrameType | None: ... def stack(context: int = 1) -> list[FrameInfo]: ... def trace(context: int = 1) -> list[FrameInfo]: ... # # Fetching attributes statically # def getattr_static(obj: object, attr: str, default: Any | None = ...) -> Any: ... # # Current State of Generators and Coroutines # GEN_CREATED: Final = "GEN_CREATED" GEN_RUNNING: Final = "GEN_RUNNING" GEN_SUSPENDED: Final = "GEN_SUSPENDED" GEN_CLOSED: Final = "GEN_CLOSED" def getgeneratorstate( generator: Generator[Any, Any, Any], ) -> Literal["GEN_CREATED", "GEN_RUNNING", "GEN_SUSPENDED", "GEN_CLOSED"]: ... CORO_CREATED: Final = "CORO_CREATED" CORO_RUNNING: Final = "CORO_RUNNING" CORO_SUSPENDED: Final = "CORO_SUSPENDED" CORO_CLOSED: Final = "CORO_CLOSED" def getcoroutinestate( coroutine: Coroutine[Any, Any, Any], ) -> Literal["CORO_CREATED", "CORO_RUNNING", "CORO_SUSPENDED", "CORO_CLOSED"]: ... def getgeneratorlocals(generator: Generator[Any, Any, Any]) -> dict[str, Any]: ... def getcoroutinelocals(coroutine: Coroutine[Any, Any, Any]) -> dict[str, Any]: ... # Create private type alias to avoid conflict with symbol of same # name created in Attribute class. _Object: TypeAlias = object class Attribute(NamedTuple): name: str kind: Literal["class method", "static method", "property", "method", "data"] defining_class: type object: _Object def classify_class_attrs(cls: type) -> list[Attribute]: ... class ClassFoundException(Exception): ... if sys.version_info >= (3, 12): class BufferFlags(enum.IntFlag): SIMPLE = 0 WRITABLE = 1 FORMAT = 4 ND = 8 STRIDES = 24 C_CONTIGUOUS = 56 F_CONTIGUOUS = 88 ANY_CONTIGUOUS = 152 INDIRECT = 280 CONTIG = 9 CONTIG_RO = 8 STRIDED = 25 STRIDED_RO = 24 RECORDS = 29 RECORDS_RO = 28 FULL = 285 FULL_RO = 284 READ = 256 WRITE = 512 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/io.pyi0000644000175100017510000000363015112307767017517 0ustar00runnerrunnerimport abc import sys from _io import ( DEFAULT_BUFFER_SIZE as DEFAULT_BUFFER_SIZE, BlockingIOError as BlockingIOError, BufferedRandom as BufferedRandom, BufferedReader as BufferedReader, BufferedRWPair as BufferedRWPair, BufferedWriter as BufferedWriter, BytesIO as BytesIO, FileIO as FileIO, IncrementalNewlineDecoder as IncrementalNewlineDecoder, StringIO as StringIO, TextIOWrapper as TextIOWrapper, _BufferedIOBase, _IOBase, _RawIOBase, _TextIOBase, _WrappedBuffer as _WrappedBuffer, # used elsewhere in typeshed open as open, open_code as open_code, ) from typing import Final, Protocol, TypeVar __all__ = [ "BlockingIOError", "open", "open_code", "IOBase", "RawIOBase", "FileIO", "BytesIO", "StringIO", "BufferedIOBase", "BufferedReader", "BufferedWriter", "BufferedRWPair", "BufferedRandom", "TextIOBase", "TextIOWrapper", "UnsupportedOperation", "SEEK_SET", "SEEK_CUR", "SEEK_END", ] if sys.version_info >= (3, 14): __all__ += ["Reader", "Writer"] if sys.version_info >= (3, 11): from _io import text_encoding as text_encoding __all__ += ["DEFAULT_BUFFER_SIZE", "IncrementalNewlineDecoder", "text_encoding"] _T_co = TypeVar("_T_co", covariant=True) _T_contra = TypeVar("_T_contra", contravariant=True) SEEK_SET: Final = 0 SEEK_CUR: Final = 1 SEEK_END: Final = 2 class UnsupportedOperation(OSError, ValueError): ... class IOBase(_IOBase, metaclass=abc.ABCMeta): ... class RawIOBase(_RawIOBase, IOBase): ... class BufferedIOBase(_BufferedIOBase, IOBase): ... class TextIOBase(_TextIOBase, IOBase): ... if sys.version_info >= (3, 14): class Reader(Protocol[_T_co]): __slots__ = () def read(self, size: int = ..., /) -> _T_co: ... class Writer(Protocol[_T_contra]): __slots__ = () def write(self, data: _T_contra, /) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ipaddress.pyi0000644000175100017510000002044015112307767021064 0ustar00runnerrunnerimport sys from collections.abc import Iterable, Iterator from typing import Any, Final, Generic, Literal, TypeVar, overload from typing_extensions import Self, TypeAlias # Undocumented length constants IPV4LENGTH: Final = 32 IPV6LENGTH: Final = 128 _A = TypeVar("_A", IPv4Address, IPv6Address) _N = TypeVar("_N", IPv4Network, IPv6Network) _RawIPAddress: TypeAlias = int | str | bytes | IPv4Address | IPv6Address _RawNetworkPart: TypeAlias = IPv4Network | IPv6Network | IPv4Interface | IPv6Interface def ip_address(address: _RawIPAddress) -> IPv4Address | IPv6Address: ... def ip_network( address: _RawIPAddress | _RawNetworkPart | tuple[_RawIPAddress] | tuple[_RawIPAddress, int], strict: bool = True ) -> IPv4Network | IPv6Network: ... def ip_interface( address: _RawIPAddress | _RawNetworkPart | tuple[_RawIPAddress] | tuple[_RawIPAddress, int], ) -> IPv4Interface | IPv6Interface: ... class _IPAddressBase: __slots__ = () @property def compressed(self) -> str: ... @property def exploded(self) -> str: ... @property def reverse_pointer(self) -> str: ... if sys.version_info < (3, 14): @property def version(self) -> int: ... class _BaseAddress(_IPAddressBase): __slots__ = () def __add__(self, other: int) -> Self: ... def __hash__(self) -> int: ... def __int__(self) -> int: ... def __sub__(self, other: int) -> Self: ... def __format__(self, fmt: str) -> str: ... def __eq__(self, other: object) -> bool: ... def __lt__(self, other: Self) -> bool: ... if sys.version_info >= (3, 11): def __ge__(self, other: Self) -> bool: ... def __gt__(self, other: Self) -> bool: ... def __le__(self, other: Self) -> bool: ... else: def __ge__(self, other: Self, NotImplemented: Any = ...) -> bool: ... def __gt__(self, other: Self, NotImplemented: Any = ...) -> bool: ... def __le__(self, other: Self, NotImplemented: Any = ...) -> bool: ... class _BaseNetwork(_IPAddressBase, Generic[_A]): network_address: _A netmask: _A def __contains__(self, other: Any) -> bool: ... def __getitem__(self, n: int) -> _A: ... def __iter__(self) -> Iterator[_A]: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... def __lt__(self, other: Self) -> bool: ... if sys.version_info >= (3, 11): def __ge__(self, other: Self) -> bool: ... def __gt__(self, other: Self) -> bool: ... def __le__(self, other: Self) -> bool: ... else: def __ge__(self, other: Self, NotImplemented: Any = ...) -> bool: ... def __gt__(self, other: Self, NotImplemented: Any = ...) -> bool: ... def __le__(self, other: Self, NotImplemented: Any = ...) -> bool: ... def address_exclude(self, other: Self) -> Iterator[Self]: ... @property def broadcast_address(self) -> _A: ... def compare_networks(self, other: Self) -> int: ... def hosts(self) -> Iterator[_A] | list[_A]: ... @property def is_global(self) -> bool: ... @property def is_link_local(self) -> bool: ... @property def is_loopback(self) -> bool: ... @property def is_multicast(self) -> bool: ... @property def is_private(self) -> bool: ... @property def is_reserved(self) -> bool: ... @property def is_unspecified(self) -> bool: ... @property def num_addresses(self) -> int: ... def overlaps(self, other: _BaseNetwork[IPv4Address] | _BaseNetwork[IPv6Address]) -> bool: ... @property def prefixlen(self) -> int: ... def subnet_of(self, other: Self) -> bool: ... def supernet_of(self, other: Self) -> bool: ... def subnets(self, prefixlen_diff: int = 1, new_prefix: int | None = None) -> Iterator[Self]: ... def supernet(self, prefixlen_diff: int = 1, new_prefix: int | None = None) -> Self: ... @property def with_hostmask(self) -> str: ... @property def with_netmask(self) -> str: ... @property def with_prefixlen(self) -> str: ... @property def hostmask(self) -> _A: ... class _BaseV4: __slots__ = () if sys.version_info >= (3, 14): version: Final = 4 max_prefixlen: Final = 32 else: @property def version(self) -> Literal[4]: ... @property def max_prefixlen(self) -> Literal[32]: ... class IPv4Address(_BaseV4, _BaseAddress): __slots__ = ("_ip", "__weakref__") def __init__(self, address: object) -> None: ... @property def is_global(self) -> bool: ... @property def is_link_local(self) -> bool: ... @property def is_loopback(self) -> bool: ... @property def is_multicast(self) -> bool: ... @property def is_private(self) -> bool: ... @property def is_reserved(self) -> bool: ... @property def is_unspecified(self) -> bool: ... @property def packed(self) -> bytes: ... if sys.version_info >= (3, 13): @property def ipv6_mapped(self) -> IPv6Address: ... class IPv4Network(_BaseV4, _BaseNetwork[IPv4Address]): def __init__(self, address: object, strict: bool = True) -> None: ... class IPv4Interface(IPv4Address): netmask: IPv4Address network: IPv4Network def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... @property def hostmask(self) -> IPv4Address: ... @property def ip(self) -> IPv4Address: ... @property def with_hostmask(self) -> str: ... @property def with_netmask(self) -> str: ... @property def with_prefixlen(self) -> str: ... class _BaseV6: __slots__ = () if sys.version_info >= (3, 14): version: Final = 6 max_prefixlen: Final = 128 else: @property def version(self) -> Literal[6]: ... @property def max_prefixlen(self) -> Literal[128]: ... class IPv6Address(_BaseV6, _BaseAddress): __slots__ = ("_ip", "_scope_id", "__weakref__") def __init__(self, address: object) -> None: ... @property def is_global(self) -> bool: ... @property def is_link_local(self) -> bool: ... @property def is_loopback(self) -> bool: ... @property def is_multicast(self) -> bool: ... @property def is_private(self) -> bool: ... @property def is_reserved(self) -> bool: ... @property def is_unspecified(self) -> bool: ... @property def packed(self) -> bytes: ... @property def ipv4_mapped(self) -> IPv4Address | None: ... @property def is_site_local(self) -> bool: ... @property def sixtofour(self) -> IPv4Address | None: ... @property def teredo(self) -> tuple[IPv4Address, IPv4Address] | None: ... @property def scope_id(self) -> str | None: ... def __hash__(self) -> int: ... def __eq__(self, other: object) -> bool: ... class IPv6Network(_BaseV6, _BaseNetwork[IPv6Address]): def __init__(self, address: object, strict: bool = True) -> None: ... @property def is_site_local(self) -> bool: ... class IPv6Interface(IPv6Address): netmask: IPv6Address network: IPv6Network def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... @property def hostmask(self) -> IPv6Address: ... @property def ip(self) -> IPv6Address: ... @property def with_hostmask(self) -> str: ... @property def with_netmask(self) -> str: ... @property def with_prefixlen(self) -> str: ... def v4_int_to_packed(address: int) -> bytes: ... def v6_int_to_packed(address: int) -> bytes: ... # Third overload is technically incorrect, but convenient when first and last are return values of ip_address() @overload def summarize_address_range(first: IPv4Address, last: IPv4Address) -> Iterator[IPv4Network]: ... @overload def summarize_address_range(first: IPv6Address, last: IPv6Address) -> Iterator[IPv6Network]: ... @overload def summarize_address_range( first: IPv4Address | IPv6Address, last: IPv4Address | IPv6Address ) -> Iterator[IPv4Network] | Iterator[IPv6Network]: ... def collapse_addresses(addresses: Iterable[_N]) -> Iterator[_N]: ... @overload def get_mixed_type_key(obj: _A) -> tuple[int, _A]: ... @overload def get_mixed_type_key(obj: IPv4Network) -> tuple[int, IPv4Address, IPv4Address]: ... @overload def get_mixed_type_key(obj: IPv6Network) -> tuple[int, IPv6Address, IPv6Address]: ... class AddressValueError(ValueError): ... class NetmaskValueError(ValueError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/itertools.pyi0000644000175100017510000003155015112307767021136 0ustar00runnerrunnerimport sys from _typeshed import MaybeNone from collections.abc import Callable, Iterable, Iterator from types import GenericAlias from typing import Any, Generic, Literal, SupportsComplex, SupportsFloat, SupportsIndex, SupportsInt, TypeVar, overload from typing_extensions import Self, TypeAlias, disjoint_base _T = TypeVar("_T") _S = TypeVar("_S") _N = TypeVar("_N", int, float, SupportsFloat, SupportsInt, SupportsIndex, SupportsComplex) _T_co = TypeVar("_T_co", covariant=True) _S_co = TypeVar("_S_co", covariant=True) _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _T3 = TypeVar("_T3") _T4 = TypeVar("_T4") _T5 = TypeVar("_T5") _T6 = TypeVar("_T6") _T7 = TypeVar("_T7") _T8 = TypeVar("_T8") _T9 = TypeVar("_T9") _T10 = TypeVar("_T10") _Step: TypeAlias = SupportsFloat | SupportsInt | SupportsIndex | SupportsComplex _Predicate: TypeAlias = Callable[[_T], object] # Technically count can take anything that implements a number protocol and has an add method # but we can't enforce the add method @disjoint_base class count(Iterator[_N]): @overload def __new__(cls) -> count[int]: ... @overload def __new__(cls, start: _N, step: _Step = ...) -> count[_N]: ... @overload def __new__(cls, *, step: _N) -> count[_N]: ... def __next__(self) -> _N: ... def __iter__(self) -> Self: ... @disjoint_base class cycle(Iterator[_T]): def __new__(cls, iterable: Iterable[_T], /) -> Self: ... def __next__(self) -> _T: ... def __iter__(self) -> Self: ... @disjoint_base class repeat(Iterator[_T]): @overload def __new__(cls, object: _T) -> Self: ... @overload def __new__(cls, object: _T, times: int) -> Self: ... def __next__(self) -> _T: ... def __iter__(self) -> Self: ... def __length_hint__(self) -> int: ... @disjoint_base class accumulate(Iterator[_T]): @overload def __new__(cls, iterable: Iterable[_T], func: None = None, *, initial: _T | None = ...) -> Self: ... @overload def __new__(cls, iterable: Iterable[_S], func: Callable[[_T, _S], _T], *, initial: _T | None = ...) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> _T: ... @disjoint_base class chain(Iterator[_T]): def __new__(cls, *iterables: Iterable[_T]) -> Self: ... def __next__(self) -> _T: ... def __iter__(self) -> Self: ... @classmethod # We use type[Any] and not type[_S] to not lose the type inference from __iterable def from_iterable(cls: type[Any], iterable: Iterable[Iterable[_S]], /) -> chain[_S]: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @disjoint_base class compress(Iterator[_T]): def __new__(cls, data: Iterable[_T], selectors: Iterable[Any]) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> _T: ... @disjoint_base class dropwhile(Iterator[_T]): def __new__(cls, predicate: _Predicate[_T], iterable: Iterable[_T], /) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> _T: ... @disjoint_base class filterfalse(Iterator[_T]): def __new__(cls, function: _Predicate[_T] | None, iterable: Iterable[_T], /) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> _T: ... @disjoint_base class groupby(Iterator[tuple[_T_co, Iterator[_S_co]]], Generic[_T_co, _S_co]): @overload def __new__(cls, iterable: Iterable[_T1], key: None = None) -> groupby[_T1, _T1]: ... @overload def __new__(cls, iterable: Iterable[_T1], key: Callable[[_T1], _T2]) -> groupby[_T2, _T1]: ... def __iter__(self) -> Self: ... def __next__(self) -> tuple[_T_co, Iterator[_S_co]]: ... @disjoint_base class islice(Iterator[_T]): @overload def __new__(cls, iterable: Iterable[_T], stop: int | None, /) -> Self: ... @overload def __new__(cls, iterable: Iterable[_T], start: int | None, stop: int | None, step: int | None = ..., /) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> _T: ... @disjoint_base class starmap(Iterator[_T_co]): def __new__(cls, function: Callable[..., _T], iterable: Iterable[Iterable[Any]], /) -> starmap[_T]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... @disjoint_base class takewhile(Iterator[_T]): def __new__(cls, predicate: _Predicate[_T], iterable: Iterable[_T], /) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> _T: ... def tee(iterable: Iterable[_T], n: int = 2, /) -> tuple[Iterator[_T], ...]: ... @disjoint_base class zip_longest(Iterator[_T_co]): # one iterable (fillvalue doesn't matter) @overload def __new__(cls, iter1: Iterable[_T1], /, *, fillvalue: object = ...) -> zip_longest[tuple[_T1]]: ... # two iterables @overload # In the overloads without fillvalue, all of the tuple members could theoretically be None, # but we return Any instead to avoid false positives for code where we know one of the iterables # is longer. def __new__(cls, iter1: Iterable[_T1], iter2: Iterable[_T2], /) -> zip_longest[tuple[_T1 | MaybeNone, _T2 | MaybeNone]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], /, *, fillvalue: _T ) -> zip_longest[tuple[_T1 | _T, _T2 | _T]]: ... # three iterables @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], / ) -> zip_longest[tuple[_T1 | MaybeNone, _T2 | MaybeNone, _T3 | MaybeNone]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], /, *, fillvalue: _T ) -> zip_longest[tuple[_T1 | _T, _T2 | _T, _T3 | _T]]: ... # four iterables @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], / ) -> zip_longest[tuple[_T1 | MaybeNone, _T2 | MaybeNone, _T3 | MaybeNone, _T4 | MaybeNone]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], /, *, fillvalue: _T ) -> zip_longest[tuple[_T1 | _T, _T2 | _T, _T3 | _T, _T4 | _T]]: ... # five iterables @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], / ) -> zip_longest[tuple[_T1 | MaybeNone, _T2 | MaybeNone, _T3 | MaybeNone, _T4 | MaybeNone, _T5 | MaybeNone]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], /, *, fillvalue: _T, ) -> zip_longest[tuple[_T1 | _T, _T2 | _T, _T3 | _T, _T4 | _T, _T5 | _T]]: ... # six or more iterables @overload def __new__( cls, iter1: Iterable[_T], iter2: Iterable[_T], iter3: Iterable[_T], iter4: Iterable[_T], iter5: Iterable[_T], iter6: Iterable[_T], /, *iterables: Iterable[_T], ) -> zip_longest[tuple[_T | MaybeNone, ...]]: ... @overload def __new__( cls, iter1: Iterable[_T], iter2: Iterable[_T], iter3: Iterable[_T], iter4: Iterable[_T], iter5: Iterable[_T], iter6: Iterable[_T], /, *iterables: Iterable[_T], fillvalue: _T, ) -> zip_longest[tuple[_T, ...]]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... @disjoint_base class product(Iterator[_T_co]): @overload def __new__(cls, iter1: Iterable[_T1], /) -> product[tuple[_T1]]: ... @overload def __new__(cls, iter1: Iterable[_T1], iter2: Iterable[_T2], /) -> product[tuple[_T1, _T2]]: ... @overload def __new__(cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], /) -> product[tuple[_T1, _T2, _T3]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], / ) -> product[tuple[_T1, _T2, _T3, _T4]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], / ) -> product[tuple[_T1, _T2, _T3, _T4, _T5]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], iter6: Iterable[_T6], /, ) -> product[tuple[_T1, _T2, _T3, _T4, _T5, _T6]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], iter6: Iterable[_T6], iter7: Iterable[_T7], /, ) -> product[tuple[_T1, _T2, _T3, _T4, _T5, _T6, _T7]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], iter6: Iterable[_T6], iter7: Iterable[_T7], iter8: Iterable[_T8], /, ) -> product[tuple[_T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], iter6: Iterable[_T6], iter7: Iterable[_T7], iter8: Iterable[_T8], iter9: Iterable[_T9], /, ) -> product[tuple[_T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8, _T9]]: ... @overload def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], iter4: Iterable[_T4], iter5: Iterable[_T5], iter6: Iterable[_T6], iter7: Iterable[_T7], iter8: Iterable[_T8], iter9: Iterable[_T9], iter10: Iterable[_T10], /, ) -> product[tuple[_T1, _T2, _T3, _T4, _T5, _T6, _T7, _T8, _T9, _T10]]: ... @overload def __new__(cls, *iterables: Iterable[_T1], repeat: int = 1) -> product[tuple[_T1, ...]]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... @disjoint_base class permutations(Iterator[_T_co]): @overload def __new__(cls, iterable: Iterable[_T], r: Literal[2]) -> permutations[tuple[_T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[3]) -> permutations[tuple[_T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[4]) -> permutations[tuple[_T, _T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[5]) -> permutations[tuple[_T, _T, _T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: int | None = ...) -> permutations[tuple[_T, ...]]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... @disjoint_base class combinations(Iterator[_T_co]): @overload def __new__(cls, iterable: Iterable[_T], r: Literal[2]) -> combinations[tuple[_T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[3]) -> combinations[tuple[_T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[4]) -> combinations[tuple[_T, _T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[5]) -> combinations[tuple[_T, _T, _T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: int) -> combinations[tuple[_T, ...]]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... @disjoint_base class combinations_with_replacement(Iterator[_T_co]): @overload def __new__(cls, iterable: Iterable[_T], r: Literal[2]) -> combinations_with_replacement[tuple[_T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[3]) -> combinations_with_replacement[tuple[_T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[4]) -> combinations_with_replacement[tuple[_T, _T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: Literal[5]) -> combinations_with_replacement[tuple[_T, _T, _T, _T, _T]]: ... @overload def __new__(cls, iterable: Iterable[_T], r: int) -> combinations_with_replacement[tuple[_T, ...]]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... if sys.version_info >= (3, 10): @disjoint_base class pairwise(Iterator[_T_co]): def __new__(cls, iterable: Iterable[_T], /) -> pairwise[tuple[_T, _T]]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... if sys.version_info >= (3, 12): @disjoint_base class batched(Iterator[tuple[_T_co, ...]], Generic[_T_co]): if sys.version_info >= (3, 13): def __new__(cls, iterable: Iterable[_T_co], n: int, *, strict: bool = False) -> Self: ... else: def __new__(cls, iterable: Iterable[_T_co], n: int) -> Self: ... def __iter__(self) -> Self: ... def __next__(self) -> tuple[_T_co, ...]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5887654 mypy-1.19.0/mypy/typeshed/stdlib/json/0000755000175100017510000000000015112310012017305 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/json/__init__.pyi0000644000175100017510000000401515112307767021616 0ustar00runnerrunnerfrom _typeshed import SupportsRead, SupportsWrite from collections.abc import Callable from typing import Any from .decoder import JSONDecodeError as JSONDecodeError, JSONDecoder as JSONDecoder from .encoder import JSONEncoder as JSONEncoder __all__ = ["dump", "dumps", "load", "loads", "JSONDecoder", "JSONDecodeError", "JSONEncoder"] def dumps( obj: Any, *, skipkeys: bool = False, ensure_ascii: bool = True, check_circular: bool = True, allow_nan: bool = True, cls: type[JSONEncoder] | None = None, indent: None | int | str = None, separators: tuple[str, str] | None = None, default: Callable[[Any], Any] | None = None, sort_keys: bool = False, **kwds: Any, ) -> str: ... def dump( obj: Any, fp: SupportsWrite[str], *, skipkeys: bool = False, ensure_ascii: bool = True, check_circular: bool = True, allow_nan: bool = True, cls: type[JSONEncoder] | None = None, indent: None | int | str = None, separators: tuple[str, str] | None = None, default: Callable[[Any], Any] | None = None, sort_keys: bool = False, **kwds: Any, ) -> None: ... def loads( s: str | bytes | bytearray, *, cls: type[JSONDecoder] | None = None, object_hook: Callable[[dict[Any, Any]], Any] | None = None, parse_float: Callable[[str], Any] | None = None, parse_int: Callable[[str], Any] | None = None, parse_constant: Callable[[str], Any] | None = None, object_pairs_hook: Callable[[list[tuple[Any, Any]]], Any] | None = None, **kwds: Any, ) -> Any: ... def load( fp: SupportsRead[str | bytes], *, cls: type[JSONDecoder] | None = None, object_hook: Callable[[dict[Any, Any]], Any] | None = None, parse_float: Callable[[str], Any] | None = None, parse_int: Callable[[str], Any] | None = None, parse_constant: Callable[[str], Any] | None = None, object_pairs_hook: Callable[[list[tuple[Any, Any]]], Any] | None = None, **kwds: Any, ) -> Any: ... def detect_encoding(b: bytes | bytearray) -> str: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/json/decoder.pyi0000644000175100017510000000213515112307767021465 0ustar00runnerrunnerfrom collections.abc import Callable from typing import Any __all__ = ["JSONDecoder", "JSONDecodeError"] class JSONDecodeError(ValueError): msg: str doc: str pos: int lineno: int colno: int def __init__(self, msg: str, doc: str, pos: int) -> None: ... class JSONDecoder: object_hook: Callable[[dict[str, Any]], Any] parse_float: Callable[[str], Any] parse_int: Callable[[str], Any] parse_constant: Callable[[str], Any] strict: bool object_pairs_hook: Callable[[list[tuple[str, Any]]], Any] def __init__( self, *, object_hook: Callable[[dict[str, Any]], Any] | None = None, parse_float: Callable[[str], Any] | None = None, parse_int: Callable[[str], Any] | None = None, parse_constant: Callable[[str], Any] | None = None, strict: bool = True, object_pairs_hook: Callable[[list[tuple[str, Any]]], Any] | None = None, ) -> None: ... def decode(self, s: str, _w: Callable[..., Any] = ...) -> Any: ... # _w is undocumented def raw_decode(self, s: str, idx: int = 0) -> tuple[Any, int]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/json/encoder.pyi0000644000175100017510000000245315112307767021502 0ustar00runnerrunnerfrom collections.abc import Callable, Iterator from re import Pattern from typing import Any, Final ESCAPE: Final[Pattern[str]] # undocumented ESCAPE_ASCII: Final[Pattern[str]] # undocumented HAS_UTF8: Final[Pattern[bytes]] # undocumented ESCAPE_DCT: Final[dict[str, str]] # undocumented INFINITY: Final[float] # undocumented def py_encode_basestring(s: str) -> str: ... # undocumented def py_encode_basestring_ascii(s: str) -> str: ... # undocumented def encode_basestring(s: str, /) -> str: ... # undocumented def encode_basestring_ascii(s: str, /) -> str: ... # undocumented class JSONEncoder: item_separator: str key_separator: str skipkeys: bool ensure_ascii: bool check_circular: bool allow_nan: bool sort_keys: bool indent: int | str def __init__( self, *, skipkeys: bool = False, ensure_ascii: bool = True, check_circular: bool = True, allow_nan: bool = True, sort_keys: bool = False, indent: int | str | None = None, separators: tuple[str, str] | None = None, default: Callable[..., Any] | None = None, ) -> None: ... def default(self, o: Any) -> Any: ... def encode(self, o: Any) -> str: ... def iterencode(self, o: Any, _one_shot: bool = False) -> Iterator[str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/json/scanner.pyi0000644000175100017510000000025315112307767021510 0ustar00runnerrunnerfrom _json import make_scanner as make_scanner from re import Pattern from typing import Final __all__ = ["make_scanner"] NUMBER_RE: Final[Pattern[str]] # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/json/tool.pyi0000644000175100017510000000003015112307767021025 0ustar00runnerrunnerdef main() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/keyword.pyi0000644000175100017510000000066215112307767020576 0ustar00runnerrunnerfrom collections.abc import Sequence from typing import Final __all__ = ["iskeyword", "issoftkeyword", "kwlist", "softkwlist"] def iskeyword(s: str, /) -> bool: ... # a list at runtime, but you're not meant to mutate it; # type it as a sequence kwlist: Final[Sequence[str]] def issoftkeyword(s: str, /) -> bool: ... # a list at runtime, but you're not meant to mutate it; # type it as a sequence softkwlist: Final[Sequence[str]] ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5907655 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/0000755000175100017510000000000015112310012017612 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/__init__.pyi0000644000175100017510000000000015112307767022111 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/btm_matcher.pyi0000644000175100017510000000153415112307767022654 0ustar00runnerrunnerfrom _typeshed import Incomplete, SupportsGetItem from collections import defaultdict from collections.abc import Iterable from .fixer_base import BaseFix from .pytree import Leaf, Node class BMNode: count: Incomplete transition_table: Incomplete fixers: Incomplete id: Incomplete content: str def __init__(self) -> None: ... class BottomMatcher: match: Incomplete root: Incomplete nodes: Incomplete fixers: Incomplete logger: Incomplete def __init__(self) -> None: ... def add_fixer(self, fixer: BaseFix) -> None: ... def add(self, pattern: SupportsGetItem[int | slice, Incomplete] | None, start: BMNode) -> list[BMNode]: ... def run(self, leaves: Iterable[Leaf]) -> defaultdict[BaseFix, list[Node | Leaf]]: ... def print_ac(self) -> None: ... def type_repr(type_num: int) -> str | int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixer_base.pyi0000644000175100017510000000323415112307767022475 0ustar00runnerrunnerfrom _typeshed import Incomplete, StrPath from abc import ABCMeta, abstractmethod from collections.abc import MutableMapping from typing import ClassVar, Literal, TypeVar from .pytree import Base, Leaf, Node _N = TypeVar("_N", bound=Base) class BaseFix: PATTERN: ClassVar[str | None] pattern: Incomplete | None pattern_tree: Incomplete | None options: Incomplete | None filename: Incomplete | None numbers: Incomplete used_names: Incomplete order: ClassVar[Literal["post", "pre"]] explicit: ClassVar[bool] run_order: ClassVar[int] keep_line_order: ClassVar[bool] BM_compatible: ClassVar[bool] syms: Incomplete log: Incomplete def __init__(self, options: MutableMapping[str, Incomplete], log: list[str]) -> None: ... def compile_pattern(self) -> None: ... def set_filename(self, filename: StrPath) -> None: ... def match(self, node: _N) -> Literal[False] | dict[str, _N]: ... @abstractmethod def transform(self, node: Base, results: dict[str, Base]) -> Node | Leaf | None: ... def new_name(self, template: str = "xxx_todo_changeme") -> str: ... first_log: bool def log_message(self, message: str) -> None: ... def cannot_convert(self, node: Base, reason: str | None = None) -> None: ... def warning(self, node: Base, reason: str) -> None: ... def start_tree(self, tree: Node, filename: StrPath) -> None: ... def finish_tree(self, tree: Node, filename: StrPath) -> None: ... class ConditionalFix(BaseFix, metaclass=ABCMeta): skip_on: ClassVar[str | None] def start_tree(self, tree: Node, filename: StrPath, /) -> None: ... def should_skip(self, node: Base) -> bool: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.5997655 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/0000755000175100017510000000000015112310012020730 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/__init__.pyi0000644000175100017510000000000015112307767023227 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_apply.pyi0000644000175100017510000000032715112307767023477 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixApply(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_asserts.pyi0000644000175100017510000000040315112307767024031 0ustar00runnerrunnerfrom typing import ClassVar, Final, Literal from ..fixer_base import BaseFix NAMES: Final[dict[str, str]] class FixAsserts(BaseFix): BM_compatible: ClassVar[Literal[False]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_basestring.pyi0000644000175100017510000000036015112307767024510 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixBasestring(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[Literal["'basestring'"]] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_buffer.pyi0000644000175100017510000000034015112307767023616 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixBuffer(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_dict.pyi0000644000175100017510000000065015112307767023274 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar, Literal from .. import fixer_base iter_exempt: set[str] class FixDict(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... P1: ClassVar[str] p1: ClassVar[Incomplete] P2: ClassVar[str] p2: ClassVar[Incomplete] def in_special_context(self, node, isiter): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_except.pyi0000644000175100017510000000063715112307767023646 0ustar00runnerrunnerfrom collections.abc import Generator, Iterable from typing import ClassVar, Literal, TypeVar from .. import fixer_base from ..pytree import Base _N = TypeVar("_N", bound=Base) def find_excepts(nodes: Iterable[_N]) -> Generator[tuple[_N, _N], None, None]: ... class FixExcept(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_exec.pyi0000644000175100017510000000032615112307767023275 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixExec(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_execfile.pyi0000644000175100017510000000033215112307767024132 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixExecfile(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_exitfunc.pyi0000644000175100017510000000067515112307767024205 0ustar00runnerrunnerfrom _typeshed import Incomplete, StrPath from lib2to3 import fixer_base from typing import ClassVar, Literal from ..pytree import Node class FixExitfunc(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def __init__(self, *args) -> None: ... sys_import: Incomplete | None def start_tree(self, tree: Node, filename: StrPath) -> None: ... def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_filter.pyi0000644000175100017510000000043015112307767023632 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixFilter(fixer_base.ConditionalFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] skip_on: ClassVar[Literal["future_builtins.filter"]] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_funcattrs.pyi0000644000175100017510000000034315112307767024361 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixFuncattrs(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_future.pyi0000644000175100017510000000033015112307767023656 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixFuture(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_getcwdu.pyi0000644000175100017510000000034115112307767024010 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixGetcwdu(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_has_key.pyi0000644000175100017510000000033015112307767023767 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixHasKey(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_idioms.pyi0000644000175100017510000000071315112307767023635 0ustar00runnerrunnerfrom typing import ClassVar, Final, Literal from .. import fixer_base CMP: Final[str] TYPE: Final[str] class FixIdioms(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[False]] PATTERN: ClassVar[str] def match(self, node): ... def transform(self, node, results): ... def transform_isinstance(self, node, results): ... def transform_while(self, node, results) -> None: ... def transform_sort(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_import.pyi0000644000175100017510000000077315112307767023671 0ustar00runnerrunnerfrom _typeshed import StrPath from collections.abc import Generator from typing import ClassVar, Literal from .. import fixer_base from ..pytree import Node def traverse_imports(names) -> Generator[str, None, None]: ... class FixImport(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] skip: bool def start_tree(self, tree: Node, name: StrPath) -> None: ... def transform(self, node, results): ... def probably_a_local_import(self, imp_name): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_imports.pyi0000644000175100017510000000121515112307767024044 0ustar00runnerrunnerfrom _typeshed import StrPath from collections.abc import Generator from typing import ClassVar, Final, Literal from .. import fixer_base from ..pytree import Node MAPPING: Final[dict[str, str]] def alternates(members): ... def build_pattern(mapping=...) -> Generator[str, None, None]: ... class FixImports(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] mapping = MAPPING def build_pattern(self): ... def compile_pattern(self) -> None: ... def match(self, node): ... replace: dict[str, str] def start_tree(self, tree: Node, filename: StrPath) -> None: ... def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_imports2.pyi0000644000175100017510000000022615112307767024127 0ustar00runnerrunnerfrom typing import Final from . import fix_imports MAPPING: Final[dict[str, str]] class FixImports2(fix_imports.FixImports): mapping = MAPPING ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_input.pyi0000644000175100017510000000041515112307767023507 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar, Literal from .. import fixer_base context: Incomplete class FixInput(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_intern.pyi0000644000175100017510000000037415112307767023653 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixIntern(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] order: ClassVar[Literal["pre"]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_isinstance.pyi0000644000175100017510000000034415112307767024511 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixIsinstance(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_itertools.pyi0000644000175100017510000000036515112307767024400 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixItertools(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] it_funcs: str PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_itertools_imports.pyi0000644000175100017510000000034615112307767026154 0ustar00runnerrunnerfrom lib2to3 import fixer_base from typing import ClassVar, Literal class FixItertoolsImports(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_long.pyi0000644000175100017510000000036015112307767023306 0ustar00runnerrunnerfrom lib2to3 import fixer_base from typing import ClassVar, Literal class FixLong(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[Literal["'long'"]] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_map.pyi0000644000175100017510000000042215112307767023123 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixMap(fixer_base.ConditionalFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] skip_on: ClassVar[Literal["future_builtins.map"]] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_metaclass.pyi0000644000175100017510000000111315112307767024320 0ustar00runnerrunnerfrom collections.abc import Generator from typing import ClassVar, Literal from .. import fixer_base from ..pytree import Base def has_metaclass(parent): ... def fixup_parse_tree(cls_node) -> None: ... def fixup_simple_stmt(parent, i, stmt_node) -> None: ... def remove_trailing_newline(node) -> None: ... def find_metas(cls_node) -> Generator[tuple[Base, int, Base], None, None]: ... def fixup_indent(suite) -> None: ... class FixMetaclass(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_methodattrs.pyi0000644000175100017510000000041015112307767024701 0ustar00runnerrunnerfrom typing import ClassVar, Final, Literal from .. import fixer_base MAP: Final[dict[str, str]] class FixMethodattrs(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_ne.pyi0000644000175100017510000000033115112307767022747 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixNe(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[False]] def match(self, node): ... def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_next.pyi0000644000175100017510000000100615112307767023323 0ustar00runnerrunnerfrom _typeshed import StrPath from typing import ClassVar, Literal from .. import fixer_base from ..pytree import Node bind_warning: str class FixNext(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] order: ClassVar[Literal["pre"]] shadowed_next: bool def start_tree(self, tree: Node, filename: StrPath) -> None: ... def transform(self, node, results) -> None: ... def is_assign_target(node): ... def find_assign(node): ... def is_subtree(root, node): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_nonzero.pyi0000644000175100017510000000034115112307767024040 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixNonzero(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_numliterals.pyi0000644000175100017510000000034215112307767024706 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixNumliterals(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[False]] def match(self, node): ... def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_operator.pyi0000644000175100017510000000047015112307767024204 0ustar00runnerrunnerfrom lib2to3 import fixer_base from typing import ClassVar, Literal def invocation(s): ... class FixOperator(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] order: ClassVar[Literal["pre"]] methods: str obj: str PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_paren.pyi0000644000175100017510000000033715112307767023460 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixParen(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_print.pyi0000644000175100017510000000051615112307767023506 0ustar00runnerrunnerfrom _typeshed import Incomplete from typing import ClassVar, Literal from .. import fixer_base parend_expr: Incomplete class FixPrint(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... def add_kwarg(self, l_nodes, s_kwd, n_expr) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_raise.pyi0000644000175100017510000000032715112307767023455 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixRaise(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_raw_input.pyi0000644000175100017510000000034215112307767024357 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixRawInput(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_reduce.pyi0000644000175100017510000000041015112307767023612 0ustar00runnerrunnerfrom lib2to3 import fixer_base from typing import ClassVar, Literal class FixReduce(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] order: ClassVar[Literal["pre"]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_reload.pyi0000644000175100017510000000037415112307767023622 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixReload(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] order: ClassVar[Literal["pre"]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_renames.pyi0000644000175100017510000000077315112307767024011 0ustar00runnerrunnerfrom collections.abc import Generator from typing import ClassVar, Final, Literal from .. import fixer_base MAPPING: Final[dict[str, dict[str, str]]] LOOKUP: Final[dict[tuple[str, str], str]] def alternates(members): ... def build_pattern() -> Generator[str, None, None]: ... class FixRenames(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] order: ClassVar[Literal["pre"]] PATTERN: ClassVar[str] def match(self, node): ... def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_repr.pyi0000644000175100017510000000032615112307767023321 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixRepr(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_set_literal.pyi0000644000175100017510000000034015112307767024654 0ustar00runnerrunnerfrom lib2to3 import fixer_base from typing import ClassVar, Literal class FixSetLiteral(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_standarderror.pyi0000644000175100017510000000033715112307767025225 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixStandarderror(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_sys_exc.pyi0000644000175100017510000000037215112307767024027 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixSysExc(fixer_base.BaseFix): exc_info: ClassVar[list[str]] BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_throw.pyi0000644000175100017510000000033715112307767023516 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixThrow(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_tuple_params.pyi0000644000175100017510000000070315112307767025044 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base def is_docstring(stmt): ... class FixTupleParams(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... def transform_lambda(self, node, results) -> None: ... def simplify_args(node): ... def find_params(node): ... def map_to_index(param_list, prefix=[], d=None): ... def tuple_name(param_list): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_types.pyi0000644000175100017510000000032715112307767023516 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixTypes(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_unicode.pyi0000644000175100017510000000056115112307767024000 0ustar00runnerrunnerfrom _typeshed import StrPath from typing import ClassVar, Literal from .. import fixer_base from ..pytree import Node class FixUnicode(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] unicode_literals: bool def start_tree(self, tree: Node, filename: StrPath) -> None: ... def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_urllib.pyi0000644000175100017510000000105415112307767023641 0ustar00runnerrunnerfrom collections.abc import Generator from typing import Final, Literal from .fix_imports import FixImports MAPPING: Final[dict[str, list[tuple[Literal["urllib.request", "urllib.parse", "urllib.error"], list[str]]]]] def build_pattern() -> Generator[str, None, None]: ... class FixUrllib(FixImports): def build_pattern(self): ... def transform_import(self, node, results) -> None: ... def transform_member(self, node, results): ... def transform_dot(self, node, results) -> None: ... def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_ws_comma.pyi0000644000175100017510000000046015112307767024155 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base from ..pytree import Leaf class FixWsComma(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[False]] PATTERN: ClassVar[str] COMMA: Leaf COLON: Leaf SEPS: tuple[Leaf, Leaf] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_xrange.pyi0000644000175100017510000000132615112307767023636 0ustar00runnerrunnerfrom _typeshed import Incomplete, StrPath from typing import ClassVar, Literal from .. import fixer_base from ..pytree import Node class FixXrange(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] transformed_xranges: set[Incomplete] | None def start_tree(self, tree: Node, filename: StrPath) -> None: ... def finish_tree(self, tree: Node, filename: StrPath) -> None: ... def transform(self, node, results): ... def transform_xrange(self, node, results) -> None: ... def transform_range(self, node, results): ... P1: ClassVar[str] p1: ClassVar[Incomplete] P2: ClassVar[str] p2: ClassVar[Incomplete] def in_special_context(self, node): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_xreadlines.pyi0000644000175100017510000000034415112307767024507 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixXreadlines(fixer_base.BaseFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] def transform(self, node, results) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/fixes/fix_zip.pyi0000644000175100017510000000042215112307767023150 0ustar00runnerrunnerfrom typing import ClassVar, Literal from .. import fixer_base class FixZip(fixer_base.ConditionalFix): BM_compatible: ClassVar[Literal[True]] PATTERN: ClassVar[str] skip_on: ClassVar[Literal["future_builtins.zip"]] def transform(self, node, results): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/main.pyi0000644000175100017510000000277415112307767021322 0ustar00runnerrunnerfrom _typeshed import FileDescriptorOrPath from collections.abc import Container, Iterable, Iterator, Mapping, Sequence from logging import _ExcInfoType from typing import AnyStr, Literal from . import refactor as refactor def diff_texts(a: str, b: str, filename: str) -> Iterator[str]: ... class StdoutRefactoringTool(refactor.MultiprocessRefactoringTool): nobackups: bool show_diffs: bool def __init__( self, fixers: Iterable[str], options: Mapping[str, object] | None, explicit: Container[str] | None, nobackups: bool, show_diffs: bool, input_base_dir: str = "", output_dir: str = "", append_suffix: str = "", ) -> None: ... # Same as super.log_error and Logger.error def log_error( # type: ignore[override] self, msg: str, *args: Iterable[str], exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... # Same as super.write_file but without default values def write_file( # type: ignore[override] self, new_text: str, filename: FileDescriptorOrPath, old_text: str, encoding: str | None ) -> None: ... # filename has to be str def print_output(self, old: str, new: str, filename: str, equal: bool) -> None: ... # type: ignore[override] def warn(msg: object) -> None: ... def main(fixer_pkg: str, args: Sequence[AnyStr] | None = None) -> Literal[0, 1, 2]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6017656 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/0000755000175100017510000000000015112310012020625 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/__init__.pyi0000644000175100017510000000043715112307767023142 0ustar00runnerrunnerfrom collections.abc import Callable from typing import Any from typing_extensions import TypeAlias from ..pytree import _RawNode from .grammar import Grammar # This is imported in several lib2to3/pgen2 submodules _Convert: TypeAlias = Callable[[Grammar, _RawNode], Any] # noqa: Y047 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/driver.pyi0000644000175100017510000000205315112307767022672 0ustar00runnerrunnerfrom _typeshed import StrPath from collections.abc import Iterable from logging import Logger from typing import IO from ..pytree import _NL from . import _Convert from .grammar import Grammar __all__ = ["Driver", "load_grammar"] class Driver: grammar: Grammar logger: Logger convert: _Convert def __init__(self, grammar: Grammar, convert: _Convert | None = None, logger: Logger | None = None) -> None: ... def parse_tokens( self, tokens: Iterable[tuple[int, str, tuple[int, int], tuple[int, int], str]], debug: bool = False ) -> _NL: ... def parse_stream_raw(self, stream: IO[str], debug: bool = False) -> _NL: ... def parse_stream(self, stream: IO[str], debug: bool = False) -> _NL: ... def parse_file(self, filename: StrPath, encoding: str | None = None, debug: bool = False) -> _NL: ... def parse_string(self, text: str, debug: bool = False) -> _NL: ... def load_grammar( gt: str = "Grammar.txt", gp: str | None = None, save: bool = True, force: bool = False, logger: Logger | None = None ) -> Grammar: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/grammar.pyi0000644000175100017510000000125215112307767023025 0ustar00runnerrunnerfrom _typeshed import StrPath from typing_extensions import Self, TypeAlias _Label: TypeAlias = tuple[int, str | None] _DFA: TypeAlias = list[list[tuple[int, int]]] _DFAS: TypeAlias = tuple[_DFA, dict[int, int]] class Grammar: symbol2number: dict[str, int] number2symbol: dict[int, str] states: list[_DFA] dfas: dict[int, _DFAS] labels: list[_Label] keywords: dict[str, int] tokens: dict[int, int] symbol2label: dict[str, int] start: int def dump(self, filename: StrPath) -> None: ... def load(self, filename: StrPath) -> None: ... def copy(self) -> Self: ... def report(self) -> None: ... opmap_raw: str opmap: dict[str, str] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/literals.pyi0000644000175100017510000000022715112307767023217 0ustar00runnerrunnerfrom re import Match simple_escapes: dict[str, str] def escape(m: Match[str]) -> str: ... def evalString(s: str) -> str: ... def test() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/parse.pyi0000644000175100017510000000215515112307767022514 0ustar00runnerrunnerfrom _typeshed import Incomplete from collections.abc import Sequence from typing_extensions import TypeAlias from ..pytree import _NL, _RawNode from . import _Convert from .grammar import _DFAS, Grammar _Context: TypeAlias = Sequence[Incomplete] class ParseError(Exception): msg: str type: int value: str | None context: _Context def __init__(self, msg: str, type: int, value: str | None, context: _Context) -> None: ... class Parser: grammar: Grammar convert: _Convert stack: list[tuple[_DFAS, int, _RawNode]] rootnode: _NL | None used_names: set[str] def __init__(self, grammar: Grammar, convert: _Convert | None = None) -> None: ... def setup(self, start: int | None = None) -> None: ... def addtoken(self, type: int, value: str | None, context: _Context) -> bool: ... def classify(self, type: int, value: str | None, context: _Context) -> int: ... def shift(self, type: int, value: str | None, newstate: int, context: _Context) -> None: ... def push(self, type: int, newdfa: _DFAS, newstate: int, context: _Context) -> None: ... def pop(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/pgen.pyi0000644000175100017510000000434115112307767022332 0ustar00runnerrunnerfrom _typeshed import Incomplete, StrPath from collections.abc import Iterable, Iterator from typing import IO, ClassVar, NoReturn, overload from . import grammar from .tokenize import _TokenInfo class PgenGrammar(grammar.Grammar): ... class ParserGenerator: filename: StrPath stream: IO[str] generator: Iterator[_TokenInfo] first: dict[str, dict[str, int]] def __init__(self, filename: StrPath, stream: IO[str] | None = None) -> None: ... def make_grammar(self) -> PgenGrammar: ... def make_first(self, c: PgenGrammar, name: str) -> dict[int, int]: ... def make_label(self, c: PgenGrammar, label: str) -> int: ... def addfirstsets(self) -> None: ... def calcfirst(self, name: str) -> None: ... def parse(self) -> tuple[dict[str, list[DFAState]], str]: ... def make_dfa(self, start: NFAState, finish: NFAState) -> list[DFAState]: ... def dump_nfa(self, name: str, start: NFAState, finish: NFAState) -> list[DFAState]: ... def dump_dfa(self, name: str, dfa: Iterable[DFAState]) -> None: ... def simplify_dfa(self, dfa: list[DFAState]) -> None: ... def parse_rhs(self) -> tuple[NFAState, NFAState]: ... def parse_alt(self) -> tuple[NFAState, NFAState]: ... def parse_item(self) -> tuple[NFAState, NFAState]: ... def parse_atom(self) -> tuple[NFAState, NFAState]: ... def expect(self, type: int, value: str | None = None) -> str: ... def gettoken(self) -> None: ... @overload def raise_error(self, msg: object) -> NoReturn: ... @overload def raise_error(self, msg: str, *args: object) -> NoReturn: ... class NFAState: arcs: list[tuple[str | None, NFAState]] def addarc(self, next: NFAState, label: str | None = None) -> None: ... class DFAState: nfaset: dict[NFAState, Incomplete] isfinal: bool arcs: dict[str, DFAState] def __init__(self, nfaset: dict[NFAState, Incomplete], final: NFAState) -> None: ... def addarc(self, next: DFAState, label: str) -> None: ... def unifystate(self, old: DFAState, new: DFAState) -> None: ... def __eq__(self, other: DFAState) -> bool: ... # type: ignore[override] __hash__: ClassVar[None] # type: ignore[assignment] def generate_grammar(filename: StrPath = "Grammar.txt") -> PgenGrammar: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/token.pyi0000644000175100017510000000261215112307767022520 0ustar00runnerrunnerfrom typing import Final ENDMARKER: Final[int] NAME: Final[int] NUMBER: Final[int] STRING: Final[int] NEWLINE: Final[int] INDENT: Final[int] DEDENT: Final[int] LPAR: Final[int] RPAR: Final[int] LSQB: Final[int] RSQB: Final[int] COLON: Final[int] COMMA: Final[int] SEMI: Final[int] PLUS: Final[int] MINUS: Final[int] STAR: Final[int] SLASH: Final[int] VBAR: Final[int] AMPER: Final[int] LESS: Final[int] GREATER: Final[int] EQUAL: Final[int] DOT: Final[int] PERCENT: Final[int] BACKQUOTE: Final[int] LBRACE: Final[int] RBRACE: Final[int] EQEQUAL: Final[int] NOTEQUAL: Final[int] LESSEQUAL: Final[int] GREATEREQUAL: Final[int] TILDE: Final[int] CIRCUMFLEX: Final[int] LEFTSHIFT: Final[int] RIGHTSHIFT: Final[int] DOUBLESTAR: Final[int] PLUSEQUAL: Final[int] MINEQUAL: Final[int] STAREQUAL: Final[int] SLASHEQUAL: Final[int] PERCENTEQUAL: Final[int] AMPEREQUAL: Final[int] VBAREQUAL: Final[int] CIRCUMFLEXEQUAL: Final[int] LEFTSHIFTEQUAL: Final[int] RIGHTSHIFTEQUAL: Final[int] DOUBLESTAREQUAL: Final[int] DOUBLESLASH: Final[int] DOUBLESLASHEQUAL: Final[int] OP: Final[int] COMMENT: Final[int] NL: Final[int] RARROW: Final[int] AT: Final[int] ATEQUAL: Final[int] AWAIT: Final[int] ASYNC: Final[int] ERRORTOKEN: Final[int] COLONEQUAL: Final[int] N_TOKENS: Final[int] NT_OFFSET: Final[int] tok_name: dict[int, str] def ISTERMINAL(x: int) -> bool: ... def ISNONTERMINAL(x: int) -> bool: ... def ISEOF(x: int) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pgen2/tokenize.pyi0000644000175100017510000000366415112307767023240 0ustar00runnerrunnerfrom collections.abc import Callable, Iterable, Iterator from typing_extensions import TypeAlias from .token import * __all__ = [ "AMPER", "AMPEREQUAL", "ASYNC", "AT", "ATEQUAL", "AWAIT", "BACKQUOTE", "CIRCUMFLEX", "CIRCUMFLEXEQUAL", "COLON", "COMMA", "COMMENT", "DEDENT", "DOT", "DOUBLESLASH", "DOUBLESLASHEQUAL", "DOUBLESTAR", "DOUBLESTAREQUAL", "ENDMARKER", "EQEQUAL", "EQUAL", "ERRORTOKEN", "GREATER", "GREATEREQUAL", "INDENT", "ISEOF", "ISNONTERMINAL", "ISTERMINAL", "LBRACE", "LEFTSHIFT", "LEFTSHIFTEQUAL", "LESS", "LESSEQUAL", "LPAR", "LSQB", "MINEQUAL", "MINUS", "NAME", "NEWLINE", "NL", "NOTEQUAL", "NT_OFFSET", "NUMBER", "N_TOKENS", "OP", "PERCENT", "PERCENTEQUAL", "PLUS", "PLUSEQUAL", "RARROW", "RBRACE", "RIGHTSHIFT", "RIGHTSHIFTEQUAL", "RPAR", "RSQB", "SEMI", "SLASH", "SLASHEQUAL", "STAR", "STAREQUAL", "STRING", "TILDE", "VBAR", "VBAREQUAL", "tok_name", "tokenize", "generate_tokens", "untokenize", "COLONEQUAL", ] _Coord: TypeAlias = tuple[int, int] _TokenEater: TypeAlias = Callable[[int, str, _Coord, _Coord, str], object] _TokenInfo: TypeAlias = tuple[int, str, _Coord, _Coord, str] class TokenError(Exception): ... class StopTokenizing(Exception): ... def tokenize(readline: Callable[[], str], tokeneater: _TokenEater = ...) -> None: ... class Untokenizer: tokens: list[str] prev_row: int prev_col: int def add_whitespace(self, start: _Coord) -> None: ... def untokenize(self, iterable: Iterable[_TokenInfo]) -> str: ... def compat(self, token: tuple[int, str], iterable: Iterable[_TokenInfo]) -> None: ... def untokenize(iterable: Iterable[_TokenInfo]) -> str: ... def generate_tokens(readline: Callable[[], str]) -> Iterator[_TokenInfo]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pygram.pyi0000644000175100017510000000431515112307767021666 0ustar00runnerrunnerfrom .pgen2.grammar import Grammar class Symbols: def __init__(self, grammar: Grammar) -> None: ... class python_symbols(Symbols): and_expr: int and_test: int annassign: int arglist: int argument: int arith_expr: int assert_stmt: int async_funcdef: int async_stmt: int atom: int augassign: int break_stmt: int classdef: int comp_for: int comp_if: int comp_iter: int comp_op: int comparison: int compound_stmt: int continue_stmt: int decorated: int decorator: int decorators: int del_stmt: int dictsetmaker: int dotted_as_name: int dotted_as_names: int dotted_name: int encoding_decl: int eval_input: int except_clause: int exec_stmt: int expr: int expr_stmt: int exprlist: int factor: int file_input: int flow_stmt: int for_stmt: int funcdef: int global_stmt: int if_stmt: int import_as_name: int import_as_names: int import_from: int import_name: int import_stmt: int lambdef: int listmaker: int not_test: int old_lambdef: int old_test: int or_test: int parameters: int pass_stmt: int power: int print_stmt: int raise_stmt: int return_stmt: int shift_expr: int simple_stmt: int single_input: int sliceop: int small_stmt: int star_expr: int stmt: int subscript: int subscriptlist: int suite: int term: int test: int testlist: int testlist1: int testlist_gexp: int testlist_safe: int testlist_star_expr: int tfpdef: int tfplist: int tname: int trailer: int try_stmt: int typedargslist: int varargslist: int vfpdef: int vfplist: int vname: int while_stmt: int with_item: int with_stmt: int with_var: int xor_expr: int yield_arg: int yield_expr: int yield_stmt: int class pattern_symbols(Symbols): Alternative: int Alternatives: int Details: int Matcher: int NegatedUnit: int Repeater: int Unit: int python_grammar: Grammar python_grammar_no_print_statement: Grammar python_grammar_no_print_and_exec_statement: Grammar pattern_grammar: Grammar ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/pytree.pyi0000644000175100017510000001013115112307767021670 0ustar00runnerrunnerfrom _typeshed import Incomplete, SupportsGetItem, SupportsLenAndGetItem, Unused from abc import abstractmethod from collections.abc import Iterable, Iterator, MutableSequence from typing import ClassVar, Final from typing_extensions import Self, TypeAlias from .fixer_base import BaseFix from .pgen2.grammar import Grammar _NL: TypeAlias = Node | Leaf _Context: TypeAlias = tuple[str, int, int] _Results: TypeAlias = dict[str, _NL] _RawNode: TypeAlias = tuple[int, str, _Context, list[_NL] | None] HUGE: Final = 0x7FFFFFFF def type_repr(type_num: int) -> str | int: ... class Base: type: int parent: Node | None prefix: str children: list[_NL] was_changed: bool was_checked: bool def __eq__(self, other: object) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] @abstractmethod def _eq(self, other: Base) -> bool: ... @abstractmethod def clone(self) -> Self: ... @abstractmethod def post_order(self) -> Iterator[Self]: ... @abstractmethod def pre_order(self) -> Iterator[Self]: ... def replace(self, new: _NL | list[_NL]) -> None: ... def get_lineno(self) -> int: ... def changed(self) -> None: ... def remove(self) -> int | None: ... @property def next_sibling(self) -> _NL | None: ... @property def prev_sibling(self) -> _NL | None: ... def leaves(self) -> Iterator[Leaf]: ... def depth(self) -> int: ... def get_suffix(self) -> str: ... class Node(Base): fixers_applied: MutableSequence[BaseFix] | None # Is Unbound until set in refactor.RefactoringTool future_features: frozenset[Incomplete] # Is Unbound until set in pgen2.parse.Parser.pop used_names: set[str] def __init__( self, type: int, children: Iterable[_NL], context: Unused = None, prefix: str | None = None, fixers_applied: MutableSequence[BaseFix] | None = None, ) -> None: ... def _eq(self, other: Base) -> bool: ... def clone(self) -> Node: ... def post_order(self) -> Iterator[Self]: ... def pre_order(self) -> Iterator[Self]: ... def set_child(self, i: int, child: _NL) -> None: ... def insert_child(self, i: int, child: _NL) -> None: ... def append_child(self, child: _NL) -> None: ... def __unicode__(self) -> str: ... class Leaf(Base): lineno: int column: int value: str fixers_applied: MutableSequence[BaseFix] def __init__( self, type: int, value: str, context: _Context | None = None, prefix: str | None = None, fixers_applied: MutableSequence[BaseFix] = [], ) -> None: ... def _eq(self, other: Base) -> bool: ... def clone(self) -> Leaf: ... def post_order(self) -> Iterator[Self]: ... def pre_order(self) -> Iterator[Self]: ... def __unicode__(self) -> str: ... def convert(gr: Grammar, raw_node: _RawNode) -> _NL: ... class BasePattern: type: int content: str | None name: str | None def optimize(self) -> BasePattern: ... # sic, subclasses are free to optimize themselves into different patterns def match(self, node: _NL, results: _Results | None = None) -> bool: ... def match_seq(self, nodes: SupportsLenAndGetItem[_NL], results: _Results | None = None) -> bool: ... def generate_matches(self, nodes: SupportsGetItem[int, _NL]) -> Iterator[tuple[int, _Results]]: ... class LeafPattern(BasePattern): def __init__(self, type: int | None = None, content: str | None = None, name: str | None = None) -> None: ... class NodePattern(BasePattern): wildcards: bool def __init__(self, type: int | None = None, content: str | None = None, name: str | None = None) -> None: ... class WildcardPattern(BasePattern): min: int max: int def __init__(self, content: str | None = None, min: int = 0, max: int = 0x7FFFFFFF, name: str | None = None) -> None: ... class NegatedPattern(BasePattern): def __init__(self, content: str | None = None) -> None: ... def generate_matches( patterns: SupportsGetItem[int | slice, BasePattern] | None, nodes: SupportsGetItem[int | slice, _NL] ) -> Iterator[tuple[int, _Results]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lib2to3/refactor.pyi0000644000175100017510000000755215112307767022202 0ustar00runnerrunnerfrom _typeshed import FileDescriptorOrPath, StrPath, SupportsGetItem from collections.abc import Container, Generator, Iterable, Mapping from logging import Logger, _ExcInfoType from multiprocessing import JoinableQueue from multiprocessing.synchronize import Lock from typing import Any, ClassVar, Final, NoReturn, overload from .btm_matcher import BottomMatcher from .fixer_base import BaseFix from .pgen2.driver import Driver from .pgen2.grammar import Grammar from .pytree import Node def get_all_fix_names(fixer_pkg: str, remove_prefix: bool = True) -> list[str]: ... def get_fixers_from_package(pkg_name: str) -> list[str]: ... class FixerError(Exception): ... class RefactoringTool: CLASS_PREFIX: ClassVar[str] FILE_PREFIX: ClassVar[str] fixers: Iterable[str] explicit: Container[str] options: dict[str, Any] grammar: Grammar write_unchanged_files: bool errors: list[tuple[str, Iterable[str], dict[str, _ExcInfoType]]] logger: Logger fixer_log: list[str] wrote: bool driver: Driver pre_order: list[BaseFix] post_order: list[BaseFix] files: list[StrPath] BM: BottomMatcher bmi_pre_order: list[BaseFix] bmi_post_order: list[BaseFix] def __init__( self, fixer_names: Iterable[str], options: Mapping[str, object] | None = None, explicit: Container[str] | None = None ) -> None: ... def get_fixers(self) -> tuple[list[BaseFix], list[BaseFix]]: ... def log_error(self, msg: str, *args: Iterable[str], **kwargs: _ExcInfoType) -> NoReturn: ... @overload def log_message(self, msg: object) -> None: ... @overload def log_message(self, msg: str, *args: object) -> None: ... @overload def log_debug(self, msg: object) -> None: ... @overload def log_debug(self, msg: str, *args: object) -> None: ... def print_output(self, old_text: str, new_text: str, filename: StrPath, equal: bool) -> None: ... def refactor(self, items: Iterable[str], write: bool = False, doctests_only: bool = False) -> None: ... def refactor_dir(self, dir_name: str, write: bool = False, doctests_only: bool = False) -> None: ... def _read_python_source(self, filename: FileDescriptorOrPath) -> tuple[str, str]: ... def refactor_file(self, filename: StrPath, write: bool = False, doctests_only: bool = False) -> None: ... def refactor_string(self, data: str, name: str) -> Node | None: ... def refactor_stdin(self, doctests_only: bool = False) -> None: ... def refactor_tree(self, tree: Node, name: str) -> bool: ... def traverse_by(self, fixers: SupportsGetItem[int, Iterable[BaseFix]] | None, traversal: Iterable[Node]) -> None: ... def processed_file( self, new_text: str, filename: StrPath, old_text: str | None = None, write: bool = False, encoding: str | None = None ) -> None: ... def write_file(self, new_text: str, filename: FileDescriptorOrPath, old_text: str, encoding: str | None = None) -> None: ... PS1: Final = ">>> " PS2: Final = "... " def refactor_docstring(self, input: str, filename: StrPath) -> str: ... def refactor_doctest(self, block: list[str], lineno: int, indent: int, filename: StrPath) -> list[str]: ... def summarize(self) -> None: ... def parse_block(self, block: Iterable[str], lineno: int, indent: int) -> Node: ... def wrap_toks( self, block: Iterable[str], lineno: int, indent: int ) -> Generator[tuple[int, str, tuple[int, int], tuple[int, int], str], None, None]: ... def gen_lines(self, block: Iterable[str], indent: int) -> Generator[str, None, None]: ... class MultiprocessingUnsupported(Exception): ... class MultiprocessRefactoringTool(RefactoringTool): queue: JoinableQueue[None | tuple[Iterable[str], bool | int]] | None output_lock: Lock | None def refactor( self, items: Iterable[str], write: bool = False, doctests_only: bool = False, num_processes: int = 1 ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/linecache.pyi0000644000175100017510000000152415112307767021023 0ustar00runnerrunnerfrom collections.abc import Callable from typing import Any from typing_extensions import TypeAlias __all__ = ["getline", "clearcache", "checkcache", "lazycache"] _ModuleGlobals: TypeAlias = dict[str, Any] _ModuleMetadata: TypeAlias = tuple[int, float | None, list[str], str] _SourceLoader: TypeAlias = tuple[Callable[[], str | None]] cache: dict[str, _SourceLoader | _ModuleMetadata] # undocumented def getline(filename: str, lineno: int, module_globals: _ModuleGlobals | None = None) -> str: ... def clearcache() -> None: ... def getlines(filename: str, module_globals: _ModuleGlobals | None = None) -> list[str]: ... def checkcache(filename: str | None = None) -> None: ... def updatecache(filename: str, module_globals: _ModuleGlobals | None = None) -> list[str]: ... def lazycache(filename: str, module_globals: _ModuleGlobals) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/locale.pyi0000644000175100017510000001150615112307767020350 0ustar00runnerrunnerimport sys from _locale import ( CHAR_MAX as CHAR_MAX, LC_ALL as LC_ALL, LC_COLLATE as LC_COLLATE, LC_CTYPE as LC_CTYPE, LC_MONETARY as LC_MONETARY, LC_NUMERIC as LC_NUMERIC, LC_TIME as LC_TIME, localeconv as localeconv, strcoll as strcoll, strxfrm as strxfrm, ) # This module defines a function "str()", which is why "str" can't be used # as a type annotation or type alias. from builtins import str as _str from collections.abc import Callable, Iterable from decimal import Decimal from typing import Any from typing_extensions import deprecated if sys.version_info >= (3, 11): from _locale import getencoding as getencoding # Some parts of the `_locale` module are platform-specific: if sys.platform != "win32": from _locale import ( ABDAY_1 as ABDAY_1, ABDAY_2 as ABDAY_2, ABDAY_3 as ABDAY_3, ABDAY_4 as ABDAY_4, ABDAY_5 as ABDAY_5, ABDAY_6 as ABDAY_6, ABDAY_7 as ABDAY_7, ABMON_1 as ABMON_1, ABMON_2 as ABMON_2, ABMON_3 as ABMON_3, ABMON_4 as ABMON_4, ABMON_5 as ABMON_5, ABMON_6 as ABMON_6, ABMON_7 as ABMON_7, ABMON_8 as ABMON_8, ABMON_9 as ABMON_9, ABMON_10 as ABMON_10, ABMON_11 as ABMON_11, ABMON_12 as ABMON_12, ALT_DIGITS as ALT_DIGITS, AM_STR as AM_STR, CODESET as CODESET, CRNCYSTR as CRNCYSTR, D_FMT as D_FMT, D_T_FMT as D_T_FMT, DAY_1 as DAY_1, DAY_2 as DAY_2, DAY_3 as DAY_3, DAY_4 as DAY_4, DAY_5 as DAY_5, DAY_6 as DAY_6, DAY_7 as DAY_7, ERA as ERA, ERA_D_FMT as ERA_D_FMT, ERA_D_T_FMT as ERA_D_T_FMT, ERA_T_FMT as ERA_T_FMT, LC_MESSAGES as LC_MESSAGES, MON_1 as MON_1, MON_2 as MON_2, MON_3 as MON_3, MON_4 as MON_4, MON_5 as MON_5, MON_6 as MON_6, MON_7 as MON_7, MON_8 as MON_8, MON_9 as MON_9, MON_10 as MON_10, MON_11 as MON_11, MON_12 as MON_12, NOEXPR as NOEXPR, PM_STR as PM_STR, RADIXCHAR as RADIXCHAR, T_FMT as T_FMT, T_FMT_AMPM as T_FMT_AMPM, THOUSEP as THOUSEP, YESEXPR as YESEXPR, bind_textdomain_codeset as bind_textdomain_codeset, bindtextdomain as bindtextdomain, dcgettext as dcgettext, dgettext as dgettext, gettext as gettext, nl_langinfo as nl_langinfo, textdomain as textdomain, ) __all__ = [ "getlocale", "getdefaultlocale", "getpreferredencoding", "Error", "setlocale", "localeconv", "strcoll", "strxfrm", "str", "atof", "atoi", "format_string", "currency", "normalize", "LC_CTYPE", "LC_COLLATE", "LC_TIME", "LC_MONETARY", "LC_NUMERIC", "LC_ALL", "CHAR_MAX", ] if sys.version_info >= (3, 11): __all__ += ["getencoding"] if sys.version_info < (3, 12): __all__ += ["format"] if sys.version_info < (3, 13): __all__ += ["resetlocale"] if sys.platform != "win32": __all__ += ["LC_MESSAGES"] class Error(Exception): ... def getdefaultlocale( envvars: tuple[_str, ...] = ("LC_ALL", "LC_CTYPE", "LANG", "LANGUAGE") ) -> tuple[_str | None, _str | None]: ... def getlocale(category: int = ...) -> tuple[_str | None, _str | None]: ... def setlocale(category: int, locale: _str | Iterable[_str | None] | None = None) -> _str: ... def getpreferredencoding(do_setlocale: bool = True) -> _str: ... def normalize(localename: _str) -> _str: ... if sys.version_info < (3, 13): if sys.version_info >= (3, 11): @deprecated("Deprecated since Python 3.11; removed in Python 3.13. Use `locale.setlocale(locale.LC_ALL, '')` instead.") def resetlocale(category: int = ...) -> None: ... else: def resetlocale(category: int = ...) -> None: ... if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.7; removed in Python 3.12. Use `locale.format_string()` instead.") def format( percent: _str, value: float | Decimal, grouping: bool = False, monetary: bool = False, *additional: Any ) -> _str: ... def format_string(f: _str, val: Any, grouping: bool = False, monetary: bool = False) -> _str: ... def currency(val: float | Decimal, symbol: bool = True, grouping: bool = False, international: bool = False) -> _str: ... def delocalize(string: _str) -> _str: ... if sys.version_info >= (3, 10): def localize(string: _str, grouping: bool = False, monetary: bool = False) -> _str: ... def atof(string: _str, func: Callable[[_str], float] = ...) -> float: ... def atoi(string: _str) -> int: ... def str(val: float) -> _str: ... locale_alias: dict[_str, _str] # undocumented locale_encoding_alias: dict[_str, _str] # undocumented windows_locale: dict[int, _str] # undocumented ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6017656 mypy-1.19.0/mypy/typeshed/stdlib/logging/0000755000175100017510000000000015112310012017762 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/logging/__init__.pyi0000644000175100017510000004773515112307767022313 0ustar00runnerrunnerimport sys import threading from _typeshed import StrPath, SupportsWrite from collections.abc import Callable, Iterable, Mapping, MutableMapping, Sequence from io import TextIOWrapper from re import Pattern from string import Template from time import struct_time from types import FrameType, GenericAlias, TracebackType from typing import Any, ClassVar, Final, Generic, Literal, Protocol, TextIO, TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias, deprecated __all__ = [ "BASIC_FORMAT", "BufferingFormatter", "CRITICAL", "DEBUG", "ERROR", "FATAL", "FileHandler", "Filter", "Formatter", "Handler", "INFO", "LogRecord", "Logger", "LoggerAdapter", "NOTSET", "NullHandler", "StreamHandler", "WARN", "WARNING", "addLevelName", "basicConfig", "captureWarnings", "critical", "debug", "disable", "error", "exception", "fatal", "getLevelName", "getLogger", "getLoggerClass", "info", "log", "makeLogRecord", "setLoggerClass", "shutdown", "warning", "getLogRecordFactory", "setLogRecordFactory", "lastResort", "raiseExceptions", "warn", ] if sys.version_info >= (3, 11): __all__ += ["getLevelNamesMapping"] if sys.version_info >= (3, 12): __all__ += ["getHandlerByName", "getHandlerNames"] _SysExcInfoType: TypeAlias = tuple[type[BaseException], BaseException, TracebackType | None] | tuple[None, None, None] _ExcInfoType: TypeAlias = None | bool | _SysExcInfoType | BaseException _ArgsType: TypeAlias = tuple[object, ...] | Mapping[str, object] _Level: TypeAlias = int | str _FormatStyle: TypeAlias = Literal["%", "{", "$"] if sys.version_info >= (3, 12): @type_check_only class _SupportsFilter(Protocol): def filter(self, record: LogRecord, /) -> bool | LogRecord: ... _FilterType: TypeAlias = Filter | Callable[[LogRecord], bool | LogRecord] | _SupportsFilter else: @type_check_only class _SupportsFilter(Protocol): def filter(self, record: LogRecord, /) -> bool: ... _FilterType: TypeAlias = Filter | Callable[[LogRecord], bool] | _SupportsFilter raiseExceptions: bool logThreads: bool logMultiprocessing: bool logProcesses: bool _srcfile: str | None def currentframe() -> FrameType: ... _levelToName: dict[int, str] _nameToLevel: dict[str, int] class Filterer: filters: list[_FilterType] def addFilter(self, filter: _FilterType) -> None: ... def removeFilter(self, filter: _FilterType) -> None: ... if sys.version_info >= (3, 12): def filter(self, record: LogRecord) -> bool | LogRecord: ... else: def filter(self, record: LogRecord) -> bool: ... class Manager: # undocumented root: RootLogger disable: int emittedNoHandlerWarning: bool loggerDict: dict[str, Logger | PlaceHolder] loggerClass: type[Logger] | None logRecordFactory: Callable[..., LogRecord] | None def __init__(self, rootnode: RootLogger) -> None: ... def getLogger(self, name: str) -> Logger: ... def setLoggerClass(self, klass: type[Logger]) -> None: ... def setLogRecordFactory(self, factory: Callable[..., LogRecord]) -> None: ... class Logger(Filterer): name: str # undocumented level: int # undocumented parent: Logger | None # undocumented propagate: bool handlers: list[Handler] # undocumented disabled: bool # undocumented root: ClassVar[RootLogger] # undocumented manager: Manager # undocumented def __init__(self, name: str, level: _Level = 0) -> None: ... def setLevel(self, level: _Level) -> None: ... def isEnabledFor(self, level: int) -> bool: ... def getEffectiveLevel(self) -> int: ... def getChild(self, suffix: str) -> Self: ... # see python/typing#980 if sys.version_info >= (3, 12): def getChildren(self) -> set[Logger]: ... def debug( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def info( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def warning( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... @deprecated("Deprecated since Python 3.3. Use `Logger.warning()` instead.") def warn( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def error( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def exception( self, msg: object, *args: object, exc_info: _ExcInfoType = True, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def critical( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def log( self, level: int, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def _log( self, level: int, msg: object, args: _ArgsType, exc_info: _ExcInfoType | None = None, extra: Mapping[str, object] | None = None, stack_info: bool = False, stacklevel: int = 1, ) -> None: ... # undocumented fatal = critical def addHandler(self, hdlr: Handler) -> None: ... def removeHandler(self, hdlr: Handler) -> None: ... def findCaller(self, stack_info: bool = False, stacklevel: int = 1) -> tuple[str, int, str, str | None]: ... def handle(self, record: LogRecord) -> None: ... def makeRecord( self, name: str, level: int, fn: str, lno: int, msg: object, args: _ArgsType, exc_info: _SysExcInfoType | None, func: str | None = None, extra: Mapping[str, object] | None = None, sinfo: str | None = None, ) -> LogRecord: ... def hasHandlers(self) -> bool: ... def callHandlers(self, record: LogRecord) -> None: ... # undocumented CRITICAL: Final = 50 FATAL: Final = CRITICAL ERROR: Final = 40 WARNING: Final = 30 WARN: Final = WARNING INFO: Final = 20 DEBUG: Final = 10 NOTSET: Final = 0 class Handler(Filterer): level: int # undocumented formatter: Formatter | None # undocumented lock: threading.Lock | None # undocumented name: str | None # undocumented def __init__(self, level: _Level = 0) -> None: ... def get_name(self) -> str: ... # undocumented def set_name(self, name: str) -> None: ... # undocumented def createLock(self) -> None: ... def acquire(self) -> None: ... def release(self) -> None: ... def setLevel(self, level: _Level) -> None: ... def setFormatter(self, fmt: Formatter | None) -> None: ... def flush(self) -> None: ... def close(self) -> None: ... def handle(self, record: LogRecord) -> bool: ... def handleError(self, record: LogRecord) -> None: ... def format(self, record: LogRecord) -> str: ... def emit(self, record: LogRecord) -> None: ... if sys.version_info >= (3, 12): def getHandlerByName(name: str) -> Handler | None: ... def getHandlerNames() -> frozenset[str]: ... class Formatter: converter: Callable[[float | None], struct_time] _fmt: str | None # undocumented datefmt: str | None # undocumented _style: PercentStyle # undocumented default_time_format: str default_msec_format: str | None if sys.version_info >= (3, 10): def __init__( self, fmt: str | None = None, datefmt: str | None = None, style: _FormatStyle = "%", validate: bool = True, *, defaults: Mapping[str, Any] | None = None, ) -> None: ... else: def __init__( self, fmt: str | None = None, datefmt: str | None = None, style: _FormatStyle = "%", validate: bool = True ) -> None: ... def format(self, record: LogRecord) -> str: ... def formatTime(self, record: LogRecord, datefmt: str | None = None) -> str: ... def formatException(self, ei: _SysExcInfoType) -> str: ... def formatMessage(self, record: LogRecord) -> str: ... # undocumented def formatStack(self, stack_info: str) -> str: ... def usesTime(self) -> bool: ... # undocumented class BufferingFormatter: linefmt: Formatter def __init__(self, linefmt: Formatter | None = None) -> None: ... def formatHeader(self, records: Sequence[LogRecord]) -> str: ... def formatFooter(self, records: Sequence[LogRecord]) -> str: ... def format(self, records: Sequence[LogRecord]) -> str: ... class Filter: name: str # undocumented nlen: int # undocumented def __init__(self, name: str = "") -> None: ... if sys.version_info >= (3, 12): def filter(self, record: LogRecord) -> bool | LogRecord: ... else: def filter(self, record: LogRecord) -> bool: ... class LogRecord: # args can be set to None by logging.handlers.QueueHandler # (see https://bugs.python.org/issue44473) args: _ArgsType | None asctime: str created: float exc_info: _SysExcInfoType | None exc_text: str | None filename: str funcName: str levelname: str levelno: int lineno: int module: str msecs: float # Only created when logging.Formatter.format is called. See #6132. message: str msg: str | Any # The runtime accepts any object, but will be a str in 99% of cases name: str pathname: str process: int | None processName: str | None relativeCreated: float stack_info: str | None thread: int | None threadName: str | None if sys.version_info >= (3, 12): taskName: str | None def __init__( self, name: str, level: int, pathname: str, lineno: int, msg: object, args: _ArgsType | None, exc_info: _SysExcInfoType | None, func: str | None = None, sinfo: str | None = None, ) -> None: ... def getMessage(self) -> str: ... # Allows setting contextual information on LogRecord objects as per the docs, see #7833 def __setattr__(self, name: str, value: Any, /) -> None: ... _L = TypeVar("_L", bound=Logger | LoggerAdapter[Any]) class LoggerAdapter(Generic[_L]): logger: _L manager: Manager # undocumented if sys.version_info >= (3, 13): def __init__(self, logger: _L, extra: Mapping[str, object] | None = None, merge_extra: bool = False) -> None: ... elif sys.version_info >= (3, 10): def __init__(self, logger: _L, extra: Mapping[str, object] | None = None) -> None: ... else: def __init__(self, logger: _L, extra: Mapping[str, object]) -> None: ... if sys.version_info >= (3, 10): extra: Mapping[str, object] | None else: extra: Mapping[str, object] if sys.version_info >= (3, 13): merge_extra: bool def process(self, msg: Any, kwargs: MutableMapping[str, Any]) -> tuple[Any, MutableMapping[str, Any]]: ... def debug( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, **kwargs: object, ) -> None: ... def info( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, **kwargs: object, ) -> None: ... def warning( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, **kwargs: object, ) -> None: ... @deprecated("Deprecated since Python 3.3. Use `LoggerAdapter.warning()` instead.") def warn( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, **kwargs: object, ) -> None: ... def error( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, **kwargs: object, ) -> None: ... def exception( self, msg: object, *args: object, exc_info: _ExcInfoType = True, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, **kwargs: object, ) -> None: ... def critical( self, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, **kwargs: object, ) -> None: ... def log( self, level: int, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, **kwargs: object, ) -> None: ... def isEnabledFor(self, level: int) -> bool: ... def getEffectiveLevel(self) -> int: ... def setLevel(self, level: _Level) -> None: ... def hasHandlers(self) -> bool: ... if sys.version_info >= (3, 11): def _log( self, level: int, msg: object, args: _ArgsType, *, exc_info: _ExcInfoType | None = None, extra: Mapping[str, object] | None = None, stack_info: bool = False, ) -> None: ... # undocumented else: def _log( self, level: int, msg: object, args: _ArgsType, exc_info: _ExcInfoType | None = None, extra: Mapping[str, object] | None = None, stack_info: bool = False, ) -> None: ... # undocumented @property def name(self) -> str: ... # undocumented if sys.version_info >= (3, 11): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def getLogger(name: str | None = None) -> Logger: ... def getLoggerClass() -> type[Logger]: ... def getLogRecordFactory() -> Callable[..., LogRecord]: ... def debug( msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def info( msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def warning( msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... @deprecated("Deprecated since Python 3.3. Use `warning()` instead.") def warn( msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def error( msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def critical( msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def exception( msg: object, *args: object, exc_info: _ExcInfoType = True, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... def log( level: int, msg: object, *args: object, exc_info: _ExcInfoType = None, stack_info: bool = False, stacklevel: int = 1, extra: Mapping[str, object] | None = None, ) -> None: ... fatal = critical def disable(level: int = 50) -> None: ... def addLevelName(level: int, levelName: str) -> None: ... @overload def getLevelName(level: int) -> str: ... @overload @deprecated("The str -> int case is considered a mistake.") def getLevelName(level: str) -> Any: ... if sys.version_info >= (3, 11): def getLevelNamesMapping() -> dict[str, int]: ... def makeLogRecord(dict: Mapping[str, object]) -> LogRecord: ... def basicConfig( *, filename: StrPath | None = ..., filemode: str = ..., format: str = ..., datefmt: str | None = ..., style: _FormatStyle = ..., level: _Level | None = ..., stream: SupportsWrite[str] | None = ..., handlers: Iterable[Handler] | None = ..., force: bool | None = ..., encoding: str | None = ..., errors: str | None = ..., ) -> None: ... def shutdown(handlerList: Sequence[Any] = ...) -> None: ... # handlerList is undocumented def setLoggerClass(klass: type[Logger]) -> None: ... def captureWarnings(capture: bool) -> None: ... def setLogRecordFactory(factory: Callable[..., LogRecord]) -> None: ... lastResort: Handler | None _StreamT = TypeVar("_StreamT", bound=SupportsWrite[str]) class StreamHandler(Handler, Generic[_StreamT]): stream: _StreamT # undocumented terminator: str @overload def __init__(self: StreamHandler[TextIO], stream: None = None) -> None: ... @overload def __init__(self: StreamHandler[_StreamT], stream: _StreamT) -> None: ... # pyright: ignore[reportInvalidTypeVarUse] #11780 def setStream(self, stream: _StreamT) -> _StreamT | None: ... if sys.version_info >= (3, 11): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class FileHandler(StreamHandler[TextIOWrapper]): baseFilename: str # undocumented mode: str # undocumented encoding: str | None # undocumented delay: bool # undocumented errors: str | None # undocumented def __init__( self, filename: StrPath, mode: str = "a", encoding: str | None = None, delay: bool = False, errors: str | None = None ) -> None: ... def _open(self) -> TextIOWrapper: ... # undocumented class NullHandler(Handler): ... class PlaceHolder: # undocumented loggerMap: dict[Logger, None] def __init__(self, alogger: Logger) -> None: ... def append(self, alogger: Logger) -> None: ... # Below aren't in module docs but still visible class RootLogger(Logger): def __init__(self, level: int) -> None: ... root: RootLogger class PercentStyle: # undocumented default_format: str asctime_format: str asctime_search: str validation_pattern: Pattern[str] _fmt: str if sys.version_info >= (3, 10): def __init__(self, fmt: str, *, defaults: Mapping[str, Any] | None = None) -> None: ... else: def __init__(self, fmt: str) -> None: ... def usesTime(self) -> bool: ... def validate(self) -> None: ... def format(self, record: Any) -> str: ... class StrFormatStyle(PercentStyle): # undocumented fmt_spec: Pattern[str] field_spec: Pattern[str] class StringTemplateStyle(PercentStyle): # undocumented _tpl: Template _STYLES: Final[dict[str, tuple[PercentStyle, str]]] BASIC_FORMAT: Final = "%(levelname)s:%(name)s:%(message)s" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/logging/config.pyi0000644000175100017510000001416115112307767022004 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from collections.abc import Callable, Hashable, Iterable, Mapping, Sequence from configparser import RawConfigParser from re import Pattern from threading import Thread from typing import IO, Any, Final, Literal, SupportsIndex, TypedDict, overload, type_check_only from typing_extensions import Required, TypeAlias, disjoint_base from . import Filter, Filterer, Formatter, Handler, Logger, _FilterType, _FormatStyle, _Level DEFAULT_LOGGING_CONFIG_PORT: Final = 9030 RESET_ERROR: Final[int] # undocumented IDENTIFIER: Final[Pattern[str]] # undocumented if sys.version_info >= (3, 11): @type_check_only class _RootLoggerConfiguration(TypedDict, total=False): level: _Level filters: Sequence[str | _FilterType] handlers: Sequence[str] else: @type_check_only class _RootLoggerConfiguration(TypedDict, total=False): level: _Level filters: Sequence[str] handlers: Sequence[str] @type_check_only class _LoggerConfiguration(_RootLoggerConfiguration, TypedDict, total=False): propagate: bool _FormatterConfigurationTypedDict = TypedDict( "_FormatterConfigurationTypedDict", {"class": str, "format": str, "datefmt": str, "style": _FormatStyle}, total=False ) @type_check_only class _FilterConfigurationTypedDict(TypedDict): name: str # Formatter and filter configs can specify custom factories via the special `()` key. # If that is the case, the dictionary can contain any additional keys # https://docs.python.org/3/library/logging.config.html#user-defined-objects _FormatterConfiguration: TypeAlias = _FormatterConfigurationTypedDict | dict[str, Any] _FilterConfiguration: TypeAlias = _FilterConfigurationTypedDict | dict[str, Any] # Handler config can have additional keys even when not providing a custom factory so we just use `dict`. _HandlerConfiguration: TypeAlias = dict[str, Any] @type_check_only class _DictConfigArgs(TypedDict, total=False): version: Required[Literal[1]] formatters: dict[str, _FormatterConfiguration] filters: dict[str, _FilterConfiguration] handlers: dict[str, _HandlerConfiguration] loggers: dict[str, _LoggerConfiguration] root: _RootLoggerConfiguration incremental: bool disable_existing_loggers: bool # Accept dict[str, Any] to avoid false positives if called with a dict # type, since dict types are not compatible with TypedDicts. # # Also accept a TypedDict type, to allow callers to use TypedDict # types, and for somewhat stricter type checking of dict literals. def dictConfig(config: _DictConfigArgs | dict[str, Any]) -> None: ... if sys.version_info >= (3, 10): def fileConfig( fname: StrOrBytesPath | IO[str] | RawConfigParser, defaults: Mapping[str, str] | None = None, disable_existing_loggers: bool = True, encoding: str | None = None, ) -> None: ... else: def fileConfig( fname: StrOrBytesPath | IO[str] | RawConfigParser, defaults: Mapping[str, str] | None = None, disable_existing_loggers: bool = True, ) -> None: ... def valid_ident(s: str) -> Literal[True]: ... # undocumented def listen(port: int = 9030, verify: Callable[[bytes], bytes | None] | None = None) -> Thread: ... def stopListening() -> None: ... class ConvertingMixin: # undocumented def convert_with_key(self, key: Any, value: Any, replace: bool = True) -> Any: ... def convert(self, value: Any) -> Any: ... class ConvertingDict(dict[Hashable, Any], ConvertingMixin): # undocumented def __getitem__(self, key: Hashable) -> Any: ... def get(self, key: Hashable, default: Any = None) -> Any: ... def pop(self, key: Hashable, default: Any = None) -> Any: ... class ConvertingList(list[Any], ConvertingMixin): # undocumented @overload def __getitem__(self, key: SupportsIndex) -> Any: ... @overload def __getitem__(self, key: slice) -> Any: ... def pop(self, idx: SupportsIndex = -1) -> Any: ... if sys.version_info >= (3, 12): class ConvertingTuple(tuple[Any, ...], ConvertingMixin): # undocumented @overload def __getitem__(self, key: SupportsIndex) -> Any: ... @overload def __getitem__(self, key: slice) -> Any: ... else: @disjoint_base class ConvertingTuple(tuple[Any, ...], ConvertingMixin): # undocumented @overload def __getitem__(self, key: SupportsIndex) -> Any: ... @overload def __getitem__(self, key: slice) -> Any: ... class BaseConfigurator: CONVERT_PATTERN: Pattern[str] WORD_PATTERN: Pattern[str] DOT_PATTERN: Pattern[str] INDEX_PATTERN: Pattern[str] DIGIT_PATTERN: Pattern[str] value_converters: dict[str, str] importer: Callable[..., Any] config: dict[str, Any] # undocumented def __init__(self, config: _DictConfigArgs | dict[str, Any]) -> None: ... def resolve(self, s: str) -> Any: ... def ext_convert(self, value: str) -> Any: ... def cfg_convert(self, value: str) -> Any: ... def convert(self, value: Any) -> Any: ... def configure_custom(self, config: dict[str, Any]) -> Any: ... def as_tuple(self, value: list[Any] | tuple[Any, ...]) -> tuple[Any, ...]: ... class DictConfigurator(BaseConfigurator): def configure(self) -> None: ... # undocumented def configure_formatter(self, config: _FormatterConfiguration) -> Formatter | Any: ... # undocumented def configure_filter(self, config: _FilterConfiguration) -> Filter | Any: ... # undocumented def add_filters(self, filterer: Filterer, filters: Iterable[_FilterType]) -> None: ... # undocumented def configure_handler(self, config: _HandlerConfiguration) -> Handler | Any: ... # undocumented def add_handlers(self, logger: Logger, handlers: Iterable[str]) -> None: ... # undocumented def common_logger_config( self, logger: Logger, config: _LoggerConfiguration, incremental: bool = False ) -> None: ... # undocumented def configure_logger(self, name: str, config: _LoggerConfiguration, incremental: bool = False) -> None: ... # undocumented def configure_root(self, config: _LoggerConfiguration, incremental: bool = False) -> None: ... # undocumented dictConfigClass = DictConfigurator ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/logging/handlers.pyi0000644000175100017510000002175015112307767022341 0ustar00runnerrunnerimport datetime import http.client import ssl import sys from _typeshed import ReadableBuffer, StrPath from collections.abc import Callable from logging import FileHandler, Handler, LogRecord from re import Pattern from socket import SocketKind, socket from threading import Thread from types import TracebackType from typing import Any, ClassVar, Final, Protocol, TypeVar, type_check_only from typing_extensions import Self _T = TypeVar("_T") DEFAULT_TCP_LOGGING_PORT: Final = 9020 DEFAULT_UDP_LOGGING_PORT: Final = 9021 DEFAULT_HTTP_LOGGING_PORT: Final = 9022 DEFAULT_SOAP_LOGGING_PORT: Final = 9023 SYSLOG_UDP_PORT: Final = 514 SYSLOG_TCP_PORT: Final = 514 class WatchedFileHandler(FileHandler): dev: int # undocumented ino: int # undocumented def __init__( self, filename: StrPath, mode: str = "a", encoding: str | None = None, delay: bool = False, errors: str | None = None ) -> None: ... def _statstream(self) -> None: ... # undocumented def reopenIfNeeded(self) -> None: ... class BaseRotatingHandler(FileHandler): namer: Callable[[str], str] | None rotator: Callable[[str, str], None] | None def __init__( self, filename: StrPath, mode: str, encoding: str | None = None, delay: bool = False, errors: str | None = None ) -> None: ... def rotation_filename(self, default_name: str) -> str: ... def rotate(self, source: str, dest: str) -> None: ... class RotatingFileHandler(BaseRotatingHandler): maxBytes: int # undocumented backupCount: int # undocumented def __init__( self, filename: StrPath, mode: str = "a", maxBytes: int = 0, backupCount: int = 0, encoding: str | None = None, delay: bool = False, errors: str | None = None, ) -> None: ... def doRollover(self) -> None: ... def shouldRollover(self, record: LogRecord) -> int: ... # undocumented class TimedRotatingFileHandler(BaseRotatingHandler): when: str # undocumented backupCount: int # undocumented utc: bool # undocumented atTime: datetime.time | None # undocumented interval: int # undocumented suffix: str # undocumented dayOfWeek: int # undocumented rolloverAt: int # undocumented extMatch: Pattern[str] # undocumented def __init__( self, filename: StrPath, when: str = "h", interval: int = 1, backupCount: int = 0, encoding: str | None = None, delay: bool = False, utc: bool = False, atTime: datetime.time | None = None, errors: str | None = None, ) -> None: ... def doRollover(self) -> None: ... def shouldRollover(self, record: LogRecord) -> int: ... # undocumented def computeRollover(self, currentTime: int) -> int: ... # undocumented def getFilesToDelete(self) -> list[str]: ... # undocumented class SocketHandler(Handler): host: str # undocumented port: int | None # undocumented address: tuple[str, int] | str # undocumented sock: socket | None # undocumented closeOnError: bool # undocumented retryTime: float | None # undocumented retryStart: float # undocumented retryFactor: float # undocumented retryMax: float # undocumented def __init__(self, host: str, port: int | None) -> None: ... def makeSocket(self, timeout: float = 1) -> socket: ... # timeout is undocumented def makePickle(self, record: LogRecord) -> bytes: ... def send(self, s: ReadableBuffer) -> None: ... def createSocket(self) -> None: ... class DatagramHandler(SocketHandler): def makeSocket(self) -> socket: ... # type: ignore[override] class SysLogHandler(Handler): LOG_EMERG: int LOG_ALERT: int LOG_CRIT: int LOG_ERR: int LOG_WARNING: int LOG_NOTICE: int LOG_INFO: int LOG_DEBUG: int LOG_KERN: int LOG_USER: int LOG_MAIL: int LOG_DAEMON: int LOG_AUTH: int LOG_SYSLOG: int LOG_LPR: int LOG_NEWS: int LOG_UUCP: int LOG_CRON: int LOG_AUTHPRIV: int LOG_FTP: int LOG_NTP: int LOG_SECURITY: int LOG_CONSOLE: int LOG_SOLCRON: int LOG_LOCAL0: int LOG_LOCAL1: int LOG_LOCAL2: int LOG_LOCAL3: int LOG_LOCAL4: int LOG_LOCAL5: int LOG_LOCAL6: int LOG_LOCAL7: int address: tuple[str, int] | str # undocumented unixsocket: bool # undocumented socktype: SocketKind # undocumented ident: str # undocumented append_nul: bool # undocumented facility: int # undocumented priority_names: ClassVar[dict[str, int]] # undocumented facility_names: ClassVar[dict[str, int]] # undocumented priority_map: ClassVar[dict[str, str]] # undocumented if sys.version_info >= (3, 14): timeout: float | None def __init__( self, address: tuple[str, int] | str = ("localhost", 514), facility: str | int = 1, socktype: SocketKind | None = None, timeout: float | None = None, ) -> None: ... else: def __init__( self, address: tuple[str, int] | str = ("localhost", 514), facility: str | int = 1, socktype: SocketKind | None = None ) -> None: ... if sys.version_info >= (3, 11): def createSocket(self) -> None: ... def encodePriority(self, facility: int | str, priority: int | str) -> int: ... def mapPriority(self, levelName: str) -> str: ... class NTEventLogHandler(Handler): def __init__(self, appname: str, dllname: str | None = None, logtype: str = "Application") -> None: ... def getEventCategory(self, record: LogRecord) -> int: ... # TODO: correct return value? def getEventType(self, record: LogRecord) -> int: ... def getMessageID(self, record: LogRecord) -> int: ... class SMTPHandler(Handler): mailhost: str # undocumented mailport: int | None # undocumented username: str | None # undocumented # password only exists as an attribute if passed credentials is a tuple or list password: str # undocumented fromaddr: str # undocumented toaddrs: list[str] # undocumented subject: str # undocumented secure: tuple[()] | tuple[str] | tuple[str, str] | None # undocumented timeout: float # undocumented def __init__( self, mailhost: str | tuple[str, int], fromaddr: str, toaddrs: str | list[str], subject: str, credentials: tuple[str, str] | None = None, secure: tuple[()] | tuple[str] | tuple[str, str] | None = None, timeout: float = 5.0, ) -> None: ... def getSubject(self, record: LogRecord) -> str: ... class BufferingHandler(Handler): capacity: int # undocumented buffer: list[LogRecord] # undocumented def __init__(self, capacity: int) -> None: ... def shouldFlush(self, record: LogRecord) -> bool: ... class MemoryHandler(BufferingHandler): flushLevel: int # undocumented target: Handler | None # undocumented flushOnClose: bool # undocumented def __init__(self, capacity: int, flushLevel: int = 40, target: Handler | None = None, flushOnClose: bool = True) -> None: ... def setTarget(self, target: Handler | None) -> None: ... class HTTPHandler(Handler): host: str # undocumented url: str # undocumented method: str # undocumented secure: bool # undocumented credentials: tuple[str, str] | None # undocumented context: ssl.SSLContext | None # undocumented def __init__( self, host: str, url: str, method: str = "GET", secure: bool = False, credentials: tuple[str, str] | None = None, context: ssl.SSLContext | None = None, ) -> None: ... def mapLogRecord(self, record: LogRecord) -> dict[str, Any]: ... def getConnection(self, host: str, secure: bool) -> http.client.HTTPConnection: ... # undocumented @type_check_only class _QueueLike(Protocol[_T]): def get(self) -> _T: ... def put_nowait(self, item: _T, /) -> None: ... class QueueHandler(Handler): queue: _QueueLike[Any] def __init__(self, queue: _QueueLike[Any]) -> None: ... def prepare(self, record: LogRecord) -> Any: ... def enqueue(self, record: LogRecord) -> None: ... if sys.version_info >= (3, 12): listener: QueueListener | None class QueueListener: handlers: tuple[Handler, ...] # undocumented respect_handler_level: bool # undocumented queue: _QueueLike[Any] # undocumented _thread: Thread | None # undocumented def __init__(self, queue: _QueueLike[Any], *handlers: Handler, respect_handler_level: bool = False) -> None: ... def dequeue(self, block: bool) -> LogRecord: ... def prepare(self, record: LogRecord) -> Any: ... def start(self) -> None: ... def stop(self) -> None: ... def enqueue_sentinel(self) -> None: ... def handle(self, record: LogRecord) -> None: ... if sys.version_info >= (3, 14): def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/lzma.pyi0000644000175100017510000001147615112307767020062 0ustar00runnerrunnerimport sys from _lzma import ( CHECK_CRC32 as CHECK_CRC32, CHECK_CRC64 as CHECK_CRC64, CHECK_ID_MAX as CHECK_ID_MAX, CHECK_NONE as CHECK_NONE, CHECK_SHA256 as CHECK_SHA256, CHECK_UNKNOWN as CHECK_UNKNOWN, FILTER_ARM as FILTER_ARM, FILTER_ARMTHUMB as FILTER_ARMTHUMB, FILTER_DELTA as FILTER_DELTA, FILTER_IA64 as FILTER_IA64, FILTER_LZMA1 as FILTER_LZMA1, FILTER_LZMA2 as FILTER_LZMA2, FILTER_POWERPC as FILTER_POWERPC, FILTER_SPARC as FILTER_SPARC, FILTER_X86 as FILTER_X86, FORMAT_ALONE as FORMAT_ALONE, FORMAT_AUTO as FORMAT_AUTO, FORMAT_RAW as FORMAT_RAW, FORMAT_XZ as FORMAT_XZ, MF_BT2 as MF_BT2, MF_BT3 as MF_BT3, MF_BT4 as MF_BT4, MF_HC3 as MF_HC3, MF_HC4 as MF_HC4, MODE_FAST as MODE_FAST, MODE_NORMAL as MODE_NORMAL, PRESET_DEFAULT as PRESET_DEFAULT, PRESET_EXTREME as PRESET_EXTREME, LZMACompressor as LZMACompressor, LZMADecompressor as LZMADecompressor, LZMAError as LZMAError, _FilterChain, is_check_supported as is_check_supported, ) from _typeshed import ReadableBuffer, StrOrBytesPath from io import TextIOWrapper from typing import IO, Literal, overload from typing_extensions import Self, TypeAlias if sys.version_info >= (3, 14): from compression._common._streams import BaseStream else: from _compression import BaseStream __all__ = [ "CHECK_NONE", "CHECK_CRC32", "CHECK_CRC64", "CHECK_SHA256", "CHECK_ID_MAX", "CHECK_UNKNOWN", "FILTER_LZMA1", "FILTER_LZMA2", "FILTER_DELTA", "FILTER_X86", "FILTER_IA64", "FILTER_ARM", "FILTER_ARMTHUMB", "FILTER_POWERPC", "FILTER_SPARC", "FORMAT_AUTO", "FORMAT_XZ", "FORMAT_ALONE", "FORMAT_RAW", "MF_HC3", "MF_HC4", "MF_BT2", "MF_BT3", "MF_BT4", "MODE_FAST", "MODE_NORMAL", "PRESET_DEFAULT", "PRESET_EXTREME", "LZMACompressor", "LZMADecompressor", "LZMAFile", "LZMAError", "open", "compress", "decompress", "is_check_supported", ] _OpenBinaryWritingMode: TypeAlias = Literal["w", "wb", "x", "xb", "a", "ab"] _OpenTextWritingMode: TypeAlias = Literal["wt", "xt", "at"] _PathOrFile: TypeAlias = StrOrBytesPath | IO[bytes] class LZMAFile(BaseStream, IO[bytes]): # type: ignore[misc] # incompatible definitions of writelines in the base classes def __init__( self, filename: _PathOrFile | None = None, mode: str = "r", *, format: int | None = None, check: int = -1, preset: int | None = None, filters: _FilterChain | None = None, ) -> None: ... def __enter__(self) -> Self: ... def peek(self, size: int = -1) -> bytes: ... def read(self, size: int | None = -1) -> bytes: ... def read1(self, size: int = -1) -> bytes: ... def readline(self, size: int | None = -1) -> bytes: ... def write(self, data: ReadableBuffer) -> int: ... def seek(self, offset: int, whence: int = 0) -> int: ... @overload def open( filename: _PathOrFile, mode: Literal["r", "rb"] = "rb", *, format: int | None = None, check: Literal[-1] = -1, preset: None = None, filters: _FilterChain | None = None, encoding: None = None, errors: None = None, newline: None = None, ) -> LZMAFile: ... @overload def open( filename: _PathOrFile, mode: _OpenBinaryWritingMode, *, format: int | None = None, check: int = -1, preset: int | None = None, filters: _FilterChain | None = None, encoding: None = None, errors: None = None, newline: None = None, ) -> LZMAFile: ... @overload def open( filename: StrOrBytesPath, mode: Literal["rt"], *, format: int | None = None, check: Literal[-1] = -1, preset: None = None, filters: _FilterChain | None = None, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... @overload def open( filename: StrOrBytesPath, mode: _OpenTextWritingMode, *, format: int | None = None, check: int = -1, preset: int | None = None, filters: _FilterChain | None = None, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... @overload def open( filename: _PathOrFile, mode: str, *, format: int | None = None, check: int = -1, preset: int | None = None, filters: _FilterChain | None = None, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> LZMAFile | TextIOWrapper: ... def compress( data: ReadableBuffer, format: int = 1, check: int = -1, preset: int | None = None, filters: _FilterChain | None = None ) -> bytes: ... def decompress( data: ReadableBuffer, format: int = 0, memlimit: int | None = None, filters: _FilterChain | None = None ) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/mailbox.pyi0000644000175100017510000002503315112307767020544 0ustar00runnerrunnerimport email.message import io import sys from _typeshed import StrPath, SupportsNoArgReadline, SupportsRead from abc import ABCMeta, abstractmethod from collections.abc import Callable, Iterable, Iterator, Mapping, Sequence from email._policybase import _MessageT from types import GenericAlias, TracebackType from typing import IO, Any, AnyStr, Generic, Literal, Protocol, TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias __all__ = [ "Mailbox", "Maildir", "mbox", "MH", "Babyl", "MMDF", "Message", "MaildirMessage", "mboxMessage", "MHMessage", "BabylMessage", "MMDFMessage", "Error", "NoSuchMailboxError", "NotEmptyError", "ExternalClashError", "FormatError", ] _T = TypeVar("_T") @type_check_only class _SupportsReadAndReadline(SupportsRead[bytes], SupportsNoArgReadline[bytes], Protocol): ... _MessageData: TypeAlias = email.message.Message | bytes | str | io.StringIO | _SupportsReadAndReadline @type_check_only class _HasIteritems(Protocol): def iteritems(self) -> Iterator[tuple[str, _MessageData]]: ... @type_check_only class _HasItems(Protocol): def items(self) -> Iterator[tuple[str, _MessageData]]: ... linesep: bytes class Mailbox(Generic[_MessageT]): _path: str # undocumented _factory: Callable[[IO[Any]], _MessageT] | None # undocumented @overload def __init__(self, path: StrPath, factory: Callable[[IO[Any]], _MessageT], create: bool = True) -> None: ... @overload def __init__(self, path: StrPath, factory: None = None, create: bool = True) -> None: ... @abstractmethod def add(self, message: _MessageData) -> str: ... @abstractmethod def remove(self, key: str) -> None: ... def __delitem__(self, key: str) -> None: ... def discard(self, key: str) -> None: ... @abstractmethod def __setitem__(self, key: str, message: _MessageData) -> None: ... @overload def get(self, key: str, default: None = None) -> _MessageT | None: ... @overload def get(self, key: str, default: _T) -> _MessageT | _T: ... def __getitem__(self, key: str) -> _MessageT: ... @abstractmethod def get_message(self, key: str) -> _MessageT: ... def get_string(self, key: str) -> str: ... @abstractmethod def get_bytes(self, key: str) -> bytes: ... # As '_ProxyFile' doesn't implement the full IO spec, and BytesIO is incompatible with it, get_file return is Any here @abstractmethod def get_file(self, key: str) -> Any: ... @abstractmethod def iterkeys(self) -> Iterator[str]: ... def keys(self) -> list[str]: ... def itervalues(self) -> Iterator[_MessageT]: ... def __iter__(self) -> Iterator[_MessageT]: ... def values(self) -> list[_MessageT]: ... def iteritems(self) -> Iterator[tuple[str, _MessageT]]: ... def items(self) -> list[tuple[str, _MessageT]]: ... @abstractmethod def __contains__(self, key: str) -> bool: ... @abstractmethod def __len__(self) -> int: ... def clear(self) -> None: ... @overload def pop(self, key: str, default: None = None) -> _MessageT | None: ... @overload def pop(self, key: str, default: _T) -> _MessageT | _T: ... def popitem(self) -> tuple[str, _MessageT]: ... def update(self, arg: _HasIteritems | _HasItems | Iterable[tuple[str, _MessageData]] | None = None) -> None: ... @abstractmethod def flush(self) -> None: ... @abstractmethod def lock(self) -> None: ... @abstractmethod def unlock(self) -> None: ... @abstractmethod def close(self) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class Maildir(Mailbox[MaildirMessage]): colon: str def __init__( self, dirname: StrPath, factory: Callable[[IO[Any]], MaildirMessage] | None = None, create: bool = True ) -> None: ... def add(self, message: _MessageData) -> str: ... def remove(self, key: str) -> None: ... def __setitem__(self, key: str, message: _MessageData) -> None: ... def get_message(self, key: str) -> MaildirMessage: ... def get_bytes(self, key: str) -> bytes: ... def get_file(self, key: str) -> _ProxyFile[bytes]: ... if sys.version_info >= (3, 13): def get_info(self, key: str) -> str: ... def set_info(self, key: str, info: str) -> None: ... def get_flags(self, key: str) -> str: ... def set_flags(self, key: str, flags: str) -> None: ... def add_flag(self, key: str, flag: str) -> None: ... def remove_flag(self, key: str, flag: str) -> None: ... def iterkeys(self) -> Iterator[str]: ... def __contains__(self, key: str) -> bool: ... def __len__(self) -> int: ... def flush(self) -> None: ... def lock(self) -> None: ... def unlock(self) -> None: ... def close(self) -> None: ... def list_folders(self) -> list[str]: ... def get_folder(self, folder: str) -> Maildir: ... def add_folder(self, folder: str) -> Maildir: ... def remove_folder(self, folder: str) -> None: ... def clean(self) -> None: ... def next(self) -> str | None: ... class _singlefileMailbox(Mailbox[_MessageT], metaclass=ABCMeta): def add(self, message: _MessageData) -> str: ... def remove(self, key: str) -> None: ... def __setitem__(self, key: str, message: _MessageData) -> None: ... def iterkeys(self) -> Iterator[str]: ... def __contains__(self, key: str) -> bool: ... def __len__(self) -> int: ... def lock(self) -> None: ... def unlock(self) -> None: ... def flush(self) -> None: ... def close(self) -> None: ... class _mboxMMDF(_singlefileMailbox[_MessageT]): def get_message(self, key: str) -> _MessageT: ... def get_file(self, key: str, from_: bool = False) -> _PartialFile[bytes]: ... def get_bytes(self, key: str, from_: bool = False) -> bytes: ... def get_string(self, key: str, from_: bool = False) -> str: ... class mbox(_mboxMMDF[mboxMessage]): def __init__(self, path: StrPath, factory: Callable[[IO[Any]], mboxMessage] | None = None, create: bool = True) -> None: ... class MMDF(_mboxMMDF[MMDFMessage]): def __init__(self, path: StrPath, factory: Callable[[IO[Any]], MMDFMessage] | None = None, create: bool = True) -> None: ... class MH(Mailbox[MHMessage]): def __init__(self, path: StrPath, factory: Callable[[IO[Any]], MHMessage] | None = None, create: bool = True) -> None: ... def add(self, message: _MessageData) -> str: ... def remove(self, key: str) -> None: ... def __setitem__(self, key: str, message: _MessageData) -> None: ... def get_message(self, key: str) -> MHMessage: ... def get_bytes(self, key: str) -> bytes: ... def get_file(self, key: str) -> _ProxyFile[bytes]: ... def iterkeys(self) -> Iterator[str]: ... def __contains__(self, key: str) -> bool: ... def __len__(self) -> int: ... def flush(self) -> None: ... def lock(self) -> None: ... def unlock(self) -> None: ... def close(self) -> None: ... def list_folders(self) -> list[str]: ... def get_folder(self, folder: StrPath) -> MH: ... def add_folder(self, folder: StrPath) -> MH: ... def remove_folder(self, folder: StrPath) -> None: ... def get_sequences(self) -> dict[str, list[int]]: ... def set_sequences(self, sequences: Mapping[str, Sequence[int]]) -> None: ... def pack(self) -> None: ... class Babyl(_singlefileMailbox[BabylMessage]): def __init__(self, path: StrPath, factory: Callable[[IO[Any]], BabylMessage] | None = None, create: bool = True) -> None: ... def get_message(self, key: str) -> BabylMessage: ... def get_bytes(self, key: str) -> bytes: ... def get_file(self, key: str) -> IO[bytes]: ... def get_labels(self) -> list[str]: ... class Message(email.message.Message): def __init__(self, message: _MessageData | None = None) -> None: ... class MaildirMessage(Message): def get_subdir(self) -> str: ... def set_subdir(self, subdir: Literal["new", "cur"]) -> None: ... def get_flags(self) -> str: ... def set_flags(self, flags: Iterable[str]) -> None: ... def add_flag(self, flag: str) -> None: ... def remove_flag(self, flag: str) -> None: ... def get_date(self) -> int: ... def set_date(self, date: float) -> None: ... def get_info(self) -> str: ... def set_info(self, info: str) -> None: ... class _mboxMMDFMessage(Message): def get_from(self) -> str: ... def set_from(self, from_: str, time_: bool | tuple[int, int, int, int, int, int, int, int, int] | None = None) -> None: ... def get_flags(self) -> str: ... def set_flags(self, flags: Iterable[str]) -> None: ... def add_flag(self, flag: str) -> None: ... def remove_flag(self, flag: str) -> None: ... class mboxMessage(_mboxMMDFMessage): ... class MHMessage(Message): def get_sequences(self) -> list[str]: ... def set_sequences(self, sequences: Iterable[str]) -> None: ... def add_sequence(self, sequence: str) -> None: ... def remove_sequence(self, sequence: str) -> None: ... class BabylMessage(Message): def get_labels(self) -> list[str]: ... def set_labels(self, labels: Iterable[str]) -> None: ... def add_label(self, label: str) -> None: ... def remove_label(self, label: str) -> None: ... def get_visible(self) -> Message: ... def set_visible(self, visible: _MessageData) -> None: ... def update_visible(self) -> None: ... class MMDFMessage(_mboxMMDFMessage): ... class _ProxyFile(Generic[AnyStr]): def __init__(self, f: IO[AnyStr], pos: int | None = None) -> None: ... def read(self, size: int | None = None) -> AnyStr: ... def read1(self, size: int | None = None) -> AnyStr: ... def readline(self, size: int | None = None) -> AnyStr: ... def readlines(self, sizehint: int | None = None) -> list[AnyStr]: ... def __iter__(self) -> Iterator[AnyStr]: ... def tell(self) -> int: ... def seek(self, offset: int, whence: int = 0) -> None: ... def close(self) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, exc_type: type[BaseException] | None, exc: BaseException | None, tb: TracebackType | None) -> None: ... def readable(self) -> bool: ... def writable(self) -> bool: ... def seekable(self) -> bool: ... def flush(self) -> None: ... @property def closed(self) -> bool: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class _PartialFile(_ProxyFile[AnyStr]): def __init__(self, f: IO[AnyStr], start: int | None = None, stop: int | None = None) -> None: ... class Error(Exception): ... class NoSuchMailboxError(Error): ... class NotEmptyError(Error): ... class ExternalClashError(Error): ... class FormatError(Error): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/mailcap.pyi0000644000175100017510000000060415112307767020514 0ustar00runnerrunnerfrom collections.abc import Mapping, Sequence from typing_extensions import TypeAlias _Cap: TypeAlias = dict[str, str | int] __all__ = ["getcaps", "findmatch"] def findmatch( caps: Mapping[str, list[_Cap]], MIMEtype: str, key: str = "view", filename: str = "/dev/null", plist: Sequence[str] = [] ) -> tuple[str | None, _Cap | None]: ... def getcaps() -> dict[str, list[_Cap]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/marshal.pyi0000644000175100017510000000310515112307767020534 0ustar00runnerrunnerimport builtins import sys import types from _typeshed import ReadableBuffer, SupportsRead, SupportsWrite from typing import Any, Final from typing_extensions import TypeAlias version: Final[int] _Marshallable: TypeAlias = ( # handled in w_object() in marshal.c None | type[StopIteration] | builtins.ellipsis | bool # handled in w_complex_object() in marshal.c | int | float | complex | bytes | str | tuple[_Marshallable, ...] | list[Any] | dict[Any, Any] | set[Any] | frozenset[_Marshallable] | types.CodeType | ReadableBuffer ) if sys.version_info >= (3, 14): def dump(value: _Marshallable, file: SupportsWrite[bytes], version: int = 5, /, *, allow_code: bool = True) -> None: ... def dumps(value: _Marshallable, version: int = 5, /, *, allow_code: bool = True) -> bytes: ... elif sys.version_info >= (3, 13): def dump(value: _Marshallable, file: SupportsWrite[bytes], version: int = 4, /, *, allow_code: bool = True) -> None: ... def dumps(value: _Marshallable, version: int = 4, /, *, allow_code: bool = True) -> bytes: ... else: def dump(value: _Marshallable, file: SupportsWrite[bytes], version: int = 4, /) -> None: ... def dumps(value: _Marshallable, version: int = 4, /) -> bytes: ... if sys.version_info >= (3, 13): def load(file: SupportsRead[bytes], /, *, allow_code: bool = True) -> Any: ... def loads(bytes: ReadableBuffer, /, *, allow_code: bool = True) -> Any: ... else: def load(file: SupportsRead[bytes], /) -> Any: ... def loads(bytes: ReadableBuffer, /) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/math.pyi0000644000175100017510000001401415112307767020037 0ustar00runnerrunnerimport sys from _typeshed import SupportsMul, SupportsRMul from collections.abc import Iterable from typing import Any, Final, Literal, Protocol, SupportsFloat, SupportsIndex, TypeVar, overload, type_check_only from typing_extensions import TypeAlias _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _SupportsFloatOrIndex: TypeAlias = SupportsFloat | SupportsIndex e: Final[float] pi: Final[float] inf: Final[float] nan: Final[float] tau: Final[float] def acos(x: _SupportsFloatOrIndex, /) -> float: ... def acosh(x: _SupportsFloatOrIndex, /) -> float: ... def asin(x: _SupportsFloatOrIndex, /) -> float: ... def asinh(x: _SupportsFloatOrIndex, /) -> float: ... def atan(x: _SupportsFloatOrIndex, /) -> float: ... def atan2(y: _SupportsFloatOrIndex, x: _SupportsFloatOrIndex, /) -> float: ... def atanh(x: _SupportsFloatOrIndex, /) -> float: ... if sys.version_info >= (3, 11): def cbrt(x: _SupportsFloatOrIndex, /) -> float: ... @type_check_only class _SupportsCeil(Protocol[_T_co]): def __ceil__(self) -> _T_co: ... @overload def ceil(x: _SupportsCeil[_T], /) -> _T: ... @overload def ceil(x: _SupportsFloatOrIndex, /) -> int: ... def comb(n: SupportsIndex, k: SupportsIndex, /) -> int: ... def copysign(x: _SupportsFloatOrIndex, y: _SupportsFloatOrIndex, /) -> float: ... def cos(x: _SupportsFloatOrIndex, /) -> float: ... def cosh(x: _SupportsFloatOrIndex, /) -> float: ... def degrees(x: _SupportsFloatOrIndex, /) -> float: ... def dist(p: Iterable[_SupportsFloatOrIndex], q: Iterable[_SupportsFloatOrIndex], /) -> float: ... def erf(x: _SupportsFloatOrIndex, /) -> float: ... def erfc(x: _SupportsFloatOrIndex, /) -> float: ... def exp(x: _SupportsFloatOrIndex, /) -> float: ... if sys.version_info >= (3, 11): def exp2(x: _SupportsFloatOrIndex, /) -> float: ... def expm1(x: _SupportsFloatOrIndex, /) -> float: ... def fabs(x: _SupportsFloatOrIndex, /) -> float: ... def factorial(x: SupportsIndex, /) -> int: ... @type_check_only class _SupportsFloor(Protocol[_T_co]): def __floor__(self) -> _T_co: ... @overload def floor(x: _SupportsFloor[_T], /) -> _T: ... @overload def floor(x: _SupportsFloatOrIndex, /) -> int: ... def fmod(x: _SupportsFloatOrIndex, y: _SupportsFloatOrIndex, /) -> float: ... def frexp(x: _SupportsFloatOrIndex, /) -> tuple[float, int]: ... def fsum(seq: Iterable[_SupportsFloatOrIndex], /) -> float: ... def gamma(x: _SupportsFloatOrIndex, /) -> float: ... def gcd(*integers: SupportsIndex) -> int: ... def hypot(*coordinates: _SupportsFloatOrIndex) -> float: ... def isclose( a: _SupportsFloatOrIndex, b: _SupportsFloatOrIndex, *, rel_tol: _SupportsFloatOrIndex = 1e-09, abs_tol: _SupportsFloatOrIndex = 0.0, ) -> bool: ... def isinf(x: _SupportsFloatOrIndex, /) -> bool: ... def isfinite(x: _SupportsFloatOrIndex, /) -> bool: ... def isnan(x: _SupportsFloatOrIndex, /) -> bool: ... def isqrt(n: SupportsIndex, /) -> int: ... def lcm(*integers: SupportsIndex) -> int: ... def ldexp(x: _SupportsFloatOrIndex, i: int, /) -> float: ... def lgamma(x: _SupportsFloatOrIndex, /) -> float: ... def log(x: _SupportsFloatOrIndex, base: _SupportsFloatOrIndex = ...) -> float: ... def log10(x: _SupportsFloatOrIndex, /) -> float: ... def log1p(x: _SupportsFloatOrIndex, /) -> float: ... def log2(x: _SupportsFloatOrIndex, /) -> float: ... def modf(x: _SupportsFloatOrIndex, /) -> tuple[float, float]: ... if sys.version_info >= (3, 12): def nextafter(x: _SupportsFloatOrIndex, y: _SupportsFloatOrIndex, /, *, steps: SupportsIndex | None = None) -> float: ... else: def nextafter(x: _SupportsFloatOrIndex, y: _SupportsFloatOrIndex, /) -> float: ... def perm(n: SupportsIndex, k: SupportsIndex | None = None, /) -> int: ... def pow(x: _SupportsFloatOrIndex, y: _SupportsFloatOrIndex, /) -> float: ... _PositiveInteger: TypeAlias = Literal[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] _NegativeInteger: TypeAlias = Literal[-1, -2, -3, -4, -5, -6, -7, -8, -9, -10, -11, -12, -13, -14, -15, -16, -17, -18, -19, -20] _LiteralInteger = _PositiveInteger | _NegativeInteger | Literal[0] # noqa: Y026 # TODO: Use TypeAlias once mypy bugs are fixed _MultiplicableT1 = TypeVar("_MultiplicableT1", bound=SupportsMul[Any, Any]) _MultiplicableT2 = TypeVar("_MultiplicableT2", bound=SupportsMul[Any, Any]) @type_check_only class _SupportsProdWithNoDefaultGiven(SupportsMul[Any, Any], SupportsRMul[int, Any], Protocol): ... _SupportsProdNoDefaultT = TypeVar("_SupportsProdNoDefaultT", bound=_SupportsProdWithNoDefaultGiven) # This stub is based on the type stub for `builtins.sum`. # Like `builtins.sum`, it cannot be precisely represented in a type stub # without introducing many false positives. # For more details on its limitations and false positives, see #13572. # Instead, just like `builtins.sum`, we explicitly handle several useful cases. @overload def prod(iterable: Iterable[bool | _LiteralInteger], /, *, start: int = 1) -> int: ... # type: ignore[overload-overlap] @overload def prod(iterable: Iterable[_SupportsProdNoDefaultT], /) -> _SupportsProdNoDefaultT | Literal[1]: ... @overload def prod(iterable: Iterable[_MultiplicableT1], /, *, start: _MultiplicableT2) -> _MultiplicableT1 | _MultiplicableT2: ... def radians(x: _SupportsFloatOrIndex, /) -> float: ... def remainder(x: _SupportsFloatOrIndex, y: _SupportsFloatOrIndex, /) -> float: ... def sin(x: _SupportsFloatOrIndex, /) -> float: ... def sinh(x: _SupportsFloatOrIndex, /) -> float: ... if sys.version_info >= (3, 12): def sumprod(p: Iterable[float], q: Iterable[float], /) -> float: ... def sqrt(x: _SupportsFloatOrIndex, /) -> float: ... def tan(x: _SupportsFloatOrIndex, /) -> float: ... def tanh(x: _SupportsFloatOrIndex, /) -> float: ... # Is different from `_typeshed.SupportsTrunc`, which is not generic @type_check_only class _SupportsTrunc(Protocol[_T_co]): def __trunc__(self) -> _T_co: ... def trunc(x: _SupportsTrunc[_T], /) -> _T: ... def ulp(x: _SupportsFloatOrIndex, /) -> float: ... if sys.version_info >= (3, 13): def fma(x: _SupportsFloatOrIndex, y: _SupportsFloatOrIndex, z: _SupportsFloatOrIndex, /) -> float: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/mimetypes.pyi0000644000175100017510000000407615112307767021131 0ustar00runnerrunnerimport sys from _typeshed import StrPath from collections.abc import Sequence from typing import IO __all__ = [ "knownfiles", "inited", "MimeTypes", "guess_type", "guess_all_extensions", "guess_extension", "add_type", "init", "read_mime_types", "suffix_map", "encodings_map", "types_map", "common_types", ] if sys.version_info >= (3, 13): __all__ += ["guess_file_type"] def guess_type(url: StrPath, strict: bool = True) -> tuple[str | None, str | None]: ... def guess_all_extensions(type: str, strict: bool = True) -> list[str]: ... def guess_extension(type: str, strict: bool = True) -> str | None: ... def init(files: Sequence[str] | None = None) -> None: ... def read_mime_types(file: str) -> dict[str, str] | None: ... def add_type(type: str, ext: str, strict: bool = True) -> None: ... if sys.version_info >= (3, 13): def guess_file_type(path: StrPath, *, strict: bool = True) -> tuple[str | None, str | None]: ... inited: bool knownfiles: list[str] suffix_map: dict[str, str] encodings_map: dict[str, str] types_map: dict[str, str] common_types: dict[str, str] class MimeTypes: suffix_map: dict[str, str] encodings_map: dict[str, str] types_map: tuple[dict[str, str], dict[str, str]] types_map_inv: tuple[dict[str, str], dict[str, str]] def __init__(self, filenames: tuple[str, ...] = (), strict: bool = True) -> None: ... def add_type(self, type: str, ext: str, strict: bool = True) -> None: ... def guess_extension(self, type: str, strict: bool = True) -> str | None: ... def guess_type(self, url: StrPath, strict: bool = True) -> tuple[str | None, str | None]: ... def guess_all_extensions(self, type: str, strict: bool = True) -> list[str]: ... def read(self, filename: str, strict: bool = True) -> None: ... def readfp(self, fp: IO[str], strict: bool = True) -> None: ... def read_windows_registry(self, strict: bool = True) -> None: ... if sys.version_info >= (3, 13): def guess_file_type(self, path: StrPath, *, strict: bool = True) -> tuple[str | None, str | None]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/mmap.pyi0000644000175100017510000001260015112307767020037 0ustar00runnerrunnerimport os import sys from _typeshed import ReadableBuffer, Unused from collections.abc import Iterator from typing import Final, Literal, NoReturn, overload from typing_extensions import Self, disjoint_base ACCESS_DEFAULT: Final = 0 ACCESS_READ: Final = 1 ACCESS_WRITE: Final = 2 ACCESS_COPY: Final = 3 ALLOCATIONGRANULARITY: Final[int] if sys.platform == "linux": MAP_DENYWRITE: Final[int] MAP_EXECUTABLE: Final[int] if sys.version_info >= (3, 10): MAP_POPULATE: Final[int] if sys.version_info >= (3, 11) and sys.platform != "win32" and sys.platform != "darwin": MAP_STACK: Final[int] if sys.platform != "win32": MAP_ANON: Final[int] MAP_ANONYMOUS: Final[int] MAP_PRIVATE: Final[int] MAP_SHARED: Final[int] PROT_EXEC: Final[int] PROT_READ: Final[int] PROT_WRITE: Final[int] PAGESIZE: Final[int] @disjoint_base class mmap: if sys.platform == "win32": def __new__(self, fileno: int, length: int, tagname: str | None = None, access: int = 0, offset: int = 0) -> Self: ... else: if sys.version_info >= (3, 13): def __new__( cls, fileno: int, length: int, flags: int = ..., prot: int = ..., access: int = 0, offset: int = 0, *, trackfd: bool = True, ) -> Self: ... else: def __new__( cls, fileno: int, length: int, flags: int = ..., prot: int = ..., access: int = 0, offset: int = 0 ) -> Self: ... def close(self) -> None: ... def flush(self, offset: int = 0, size: int = ...) -> None: ... def move(self, dest: int, src: int, count: int) -> None: ... def read_byte(self) -> int: ... def readline(self) -> bytes: ... def resize(self, newsize: int) -> None: ... if sys.platform != "win32": def seek(self, pos: int, whence: Literal[0, 1, 2, 3, 4] = os.SEEK_SET) -> None: ... else: def seek(self, pos: int, whence: Literal[0, 1, 2] = os.SEEK_SET) -> None: ... def size(self) -> int: ... def tell(self) -> int: ... def write_byte(self, byte: int) -> None: ... def __len__(self) -> int: ... closed: bool if sys.platform != "win32": def madvise(self, option: int, start: int = 0, length: int = ...) -> None: ... def find(self, sub: ReadableBuffer, start: int = ..., stop: int = ...) -> int: ... def rfind(self, sub: ReadableBuffer, start: int = ..., stop: int = ...) -> int: ... def read(self, n: int | None = None) -> bytes: ... def write(self, bytes: ReadableBuffer) -> int: ... @overload def __getitem__(self, key: int, /) -> int: ... @overload def __getitem__(self, key: slice, /) -> bytes: ... def __delitem__(self, key: int | slice, /) -> NoReturn: ... @overload def __setitem__(self, key: int, value: int, /) -> None: ... @overload def __setitem__(self, key: slice, value: ReadableBuffer, /) -> None: ... # Doesn't actually exist, but the object actually supports "in" because it has __getitem__, # so we claim that there is also a __contains__ to help type checkers. def __contains__(self, o: object, /) -> bool: ... # Doesn't actually exist, but the object is actually iterable because it has __getitem__ and __len__, # so we claim that there is also an __iter__ to help type checkers. def __iter__(self) -> Iterator[int]: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def __buffer__(self, flags: int, /) -> memoryview: ... def __release_buffer__(self, buffer: memoryview, /) -> None: ... if sys.version_info >= (3, 13): def seekable(self) -> Literal[True]: ... if sys.platform != "win32": MADV_NORMAL: Final[int] MADV_RANDOM: Final[int] MADV_SEQUENTIAL: Final[int] MADV_WILLNEED: Final[int] MADV_DONTNEED: Final[int] MADV_FREE: Final[int] if sys.platform == "linux": MADV_REMOVE: Final[int] MADV_DONTFORK: Final[int] MADV_DOFORK: Final[int] MADV_HWPOISON: Final[int] MADV_MERGEABLE: Final[int] MADV_UNMERGEABLE: Final[int] # Seems like this constant is not defined in glibc. # See https://github.com/python/typeshed/pull/5360 for details # MADV_SOFT_OFFLINE: Final[int] MADV_HUGEPAGE: Final[int] MADV_NOHUGEPAGE: Final[int] MADV_DONTDUMP: Final[int] MADV_DODUMP: Final[int] # This Values are defined for FreeBSD but type checkers do not support conditions for these if sys.platform != "linux" and sys.platform != "darwin" and sys.platform != "win32": MADV_NOSYNC: Final[int] MADV_AUTOSYNC: Final[int] MADV_NOCORE: Final[int] MADV_CORE: Final[int] MADV_PROTECT: Final[int] if sys.version_info >= (3, 10) and sys.platform == "darwin": MADV_FREE_REUSABLE: Final[int] MADV_FREE_REUSE: Final[int] if sys.version_info >= (3, 13) and sys.platform != "win32": MAP_32BIT: Final[int] if sys.version_info >= (3, 13) and sys.platform == "darwin": MAP_NORESERVE: Final = 64 MAP_NOEXTEND: Final = 256 MAP_HASSEMAPHORE: Final = 512 MAP_NOCACHE: Final = 1024 MAP_JIT: Final = 2048 MAP_RESILIENT_CODESIGN: Final = 8192 MAP_RESILIENT_MEDIA: Final = 16384 MAP_TRANSLATED_ALLOW_EXECUTE: Final = 131072 MAP_UNIX03: Final = 262144 MAP_TPRO: Final = 524288 if sys.version_info >= (3, 13) and sys.platform == "linux": MAP_NORESERVE: Final = 16384 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/modulefinder.pyi0000644000175100017510000000650715112307767021573 0ustar00runnerrunnerimport sys from collections.abc import Container, Iterable, Iterator, Sequence from types import CodeType from typing import IO, Any, Final if sys.version_info < (3, 11): LOAD_CONST: Final[int] # undocumented IMPORT_NAME: Final[int] # undocumented STORE_NAME: Final[int] # undocumented STORE_GLOBAL: Final[int] # undocumented STORE_OPS: Final[tuple[int, int]] # undocumented EXTENDED_ARG: Final[int] # undocumented packagePathMap: dict[str, list[str]] # undocumented def AddPackagePath(packagename: str, path: str) -> None: ... replacePackageMap: dict[str, str] # undocumented def ReplacePackage(oldname: str, newname: str) -> None: ... class Module: # undocumented def __init__(self, name: str, file: str | None = None, path: str | None = None) -> None: ... class ModuleFinder: modules: dict[str, Module] path: list[str] # undocumented badmodules: dict[str, dict[str, int]] # undocumented debug: int # undocumented indent: int # undocumented excludes: Container[str] # undocumented replace_paths: Sequence[tuple[str, str]] # undocumented def __init__( self, path: list[str] | None = None, debug: int = 0, excludes: Container[str] | None = None, replace_paths: Sequence[tuple[str, str]] | None = None, ) -> None: ... def msg(self, level: int, str: str, *args: Any) -> None: ... # undocumented def msgin(self, *args: Any) -> None: ... # undocumented def msgout(self, *args: Any) -> None: ... # undocumented def run_script(self, pathname: str) -> None: ... def load_file(self, pathname: str) -> None: ... # undocumented def import_hook( self, name: str, caller: Module | None = None, fromlist: list[str] | None = None, level: int = -1 ) -> Module | None: ... # undocumented def determine_parent(self, caller: Module | None, level: int = -1) -> Module | None: ... # undocumented def find_head_package(self, parent: Module, name: str) -> tuple[Module, str]: ... # undocumented def load_tail(self, q: Module, tail: str) -> Module: ... # undocumented def ensure_fromlist(self, m: Module, fromlist: Iterable[str], recursive: int = 0) -> None: ... # undocumented def find_all_submodules(self, m: Module) -> Iterable[str]: ... # undocumented def import_module(self, partname: str, fqname: str, parent: Module) -> Module | None: ... # undocumented def load_module(self, fqname: str, fp: IO[str], pathname: str, file_info: tuple[str, str, str]) -> Module: ... # undocumented def scan_opcodes(self, co: CodeType) -> Iterator[tuple[str, tuple[Any, ...]]]: ... # undocumented def scan_code(self, co: CodeType, m: Module) -> None: ... # undocumented def load_package(self, fqname: str, pathname: str) -> Module: ... # undocumented def add_module(self, fqname: str) -> Module: ... # undocumented def find_module( self, name: str, path: str | None, parent: Module | None = None ) -> tuple[IO[Any] | None, str | None, tuple[str, str, int]]: ... # undocumented def report(self) -> None: ... def any_missing(self) -> list[str]: ... # undocumented def any_missing_maybe(self) -> tuple[list[str], list[str]]: ... # undocumented def replace_paths_in_code(self, co: CodeType) -> CodeType: ... # undocumented def test() -> ModuleFinder | None: ... # undocumented ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6027656 mypy-1.19.0/mypy/typeshed/stdlib/msilib/0000755000175100017510000000000015112310012017613 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/msilib/__init__.pyi0000644000175100017510000001333615112307767022132 0ustar00runnerrunnerimport sys from collections.abc import Container, Iterable, Sequence from types import ModuleType from typing import Any, Final if sys.platform == "win32": from _msi import * from _msi import _Database AMD64: Final[bool] Win64: Final[bool] datasizemask: Final = 0x00FF type_valid: Final = 0x0100 type_localizable: Final = 0x0200 typemask: Final = 0x0C00 type_long: Final = 0x0000 type_short: Final = 0x0400 type_string: Final = 0x0C00 type_binary: Final = 0x0800 type_nullable: Final = 0x1000 type_key: Final = 0x2000 knownbits: Final = 0x3FFF class Table: name: str fields: list[tuple[int, str, int]] def __init__(self, name: str) -> None: ... def add_field(self, index: int, name: str, type: int) -> None: ... def sql(self) -> str: ... def create(self, db: _Database) -> None: ... class _Unspecified: ... def change_sequence( seq: Sequence[tuple[str, str | None, int]], action: str, seqno: int | type[_Unspecified] = ..., cond: str | type[_Unspecified] = ..., ) -> None: ... def add_data(db: _Database, table: str, values: Iterable[tuple[Any, ...]]) -> None: ... def add_stream(db: _Database, name: str, path: str) -> None: ... def init_database( name: str, schema: ModuleType, ProductName: str, ProductCode: str, ProductVersion: str, Manufacturer: str ) -> _Database: ... def add_tables(db: _Database, module: ModuleType) -> None: ... def make_id(str: str) -> str: ... def gen_uuid() -> str: ... class CAB: name: str files: list[tuple[str, str]] filenames: set[str] index: int def __init__(self, name: str) -> None: ... def gen_id(self, file: str) -> str: ... def append(self, full: str, file: str, logical: str) -> tuple[int, str]: ... def commit(self, db: _Database) -> None: ... _directories: set[str] class Directory: db: _Database cab: CAB basedir: str physical: str logical: str component: str | None short_names: set[str] ids: set[str] keyfiles: dict[str, str] componentflags: int | None absolute: str def __init__( self, db: _Database, cab: CAB, basedir: str, physical: str, _logical: str, default: str, componentflags: int | None = None, ) -> None: ... def start_component( self, component: str | None = None, feature: Feature | None = None, flags: int | None = None, keyfile: str | None = None, uuid: str | None = None, ) -> None: ... def make_short(self, file: str) -> str: ... def add_file(self, file: str, src: str | None = None, version: str | None = None, language: str | None = None) -> str: ... def glob(self, pattern: str, exclude: Container[str] | None = None) -> list[str]: ... def remove_pyc(self) -> None: ... class Binary: name: str def __init__(self, fname: str) -> None: ... class Feature: id: str def __init__( self, db: _Database, id: str, title: str, desc: str, display: int, level: int = 1, parent: Feature | None = None, directory: str | None = None, attributes: int = 0, ) -> None: ... def set_current(self) -> None: ... class Control: dlg: Dialog name: str def __init__(self, dlg: Dialog, name: str) -> None: ... def event(self, event: str, argument: str, condition: str = "1", ordering: int | None = None) -> None: ... def mapping(self, event: str, attribute: str) -> None: ... def condition(self, action: str, condition: str) -> None: ... class RadioButtonGroup(Control): property: str index: int def __init__(self, dlg: Dialog, name: str, property: str) -> None: ... def add(self, name: str, x: int, y: int, w: int, h: int, text: str, value: str | None = None) -> None: ... class Dialog: db: _Database name: str x: int y: int w: int h: int def __init__( self, db: _Database, name: str, x: int, y: int, w: int, h: int, attr: int, title: str, first: str, default: str, cancel: str, ) -> None: ... def control( self, name: str, type: str, x: int, y: int, w: int, h: int, attr: int, prop: str | None, text: str | None, next: str | None, help: str | None, ) -> Control: ... def text(self, name: str, x: int, y: int, w: int, h: int, attr: int, text: str | None) -> Control: ... def bitmap(self, name: str, x: int, y: int, w: int, h: int, text: str | None) -> Control: ... def line(self, name: str, x: int, y: int, w: int, h: int) -> Control: ... def pushbutton( self, name: str, x: int, y: int, w: int, h: int, attr: int, text: str | None, next: str | None ) -> Control: ... def radiogroup( self, name: str, x: int, y: int, w: int, h: int, attr: int, prop: str | None, text: str | None, next: str | None ) -> RadioButtonGroup: ... def checkbox( self, name: str, x: int, y: int, w: int, h: int, attr: int, prop: str | None, text: str | None, next: str | None ) -> Control: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/msilib/schema.pyi0000644000175100017510000000417515112307767021634 0ustar00runnerrunnerimport sys from typing import Final if sys.platform == "win32": from . import Table _Validation: Table ActionText: Table AdminExecuteSequence: Table Condition: Table AdminUISequence: Table AdvtExecuteSequence: Table AdvtUISequence: Table AppId: Table AppSearch: Table Property: Table BBControl: Table Billboard: Table Feature: Table Binary: Table BindImage: Table File: Table CCPSearch: Table CheckBox: Table Class: Table Component: Table Icon: Table ProgId: Table ComboBox: Table CompLocator: Table Complus: Table Directory: Table Control: Table Dialog: Table ControlCondition: Table ControlEvent: Table CreateFolder: Table CustomAction: Table DrLocator: Table DuplicateFile: Table Environment: Table Error: Table EventMapping: Table Extension: Table MIME: Table FeatureComponents: Table FileSFPCatalog: Table SFPCatalog: Table Font: Table IniFile: Table IniLocator: Table InstallExecuteSequence: Table InstallUISequence: Table IsolatedComponent: Table LaunchCondition: Table ListBox: Table ListView: Table LockPermissions: Table Media: Table MoveFile: Table MsiAssembly: Table MsiAssemblyName: Table MsiDigitalCertificate: Table MsiDigitalSignature: Table MsiFileHash: Table MsiPatchHeaders: Table ODBCAttribute: Table ODBCDriver: Table ODBCDataSource: Table ODBCSourceAttribute: Table ODBCTranslator: Table Patch: Table PatchPackage: Table PublishComponent: Table RadioButton: Table Registry: Table RegLocator: Table RemoveFile: Table RemoveIniFile: Table RemoveRegistry: Table ReserveCost: Table SelfReg: Table ServiceControl: Table ServiceInstall: Table Shortcut: Table Signature: Table TextStyle: Table TypeLib: Table UIText: Table Upgrade: Table Verb: Table tables: Final[list[Table]] _Validation_records: list[tuple[str, str, str, int | None, int | None, str | None, int | None, str | None, str | None, str]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/msilib/sequence.pyi0000644000175100017510000000065515112307767022203 0ustar00runnerrunnerimport sys from typing import Final from typing_extensions import TypeAlias if sys.platform == "win32": _SequenceType: TypeAlias = list[tuple[str, str | None, int]] AdminExecuteSequence: Final[_SequenceType] AdminUISequence: Final[_SequenceType] AdvtExecuteSequence: Final[_SequenceType] InstallExecuteSequence: Final[_SequenceType] InstallUISequence: Final[_SequenceType] tables: Final[list[str]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/msilib/text.pyi0000644000175100017510000000033015112307767021345 0ustar00runnerrunnerimport sys from typing import Final if sys.platform == "win32": ActionText: Final[list[tuple[str, str, str | None]]] UIText: Final[list[tuple[str, str | None]]] dirname: str tables: Final[list[str]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/msvcrt.pyi0000644000175100017510000000225415112307767020427 0ustar00runnerrunnerimport sys from typing import Final # This module is only available on Windows if sys.platform == "win32": CRT_ASSEMBLY_VERSION: Final[str] LK_UNLCK: Final = 0 LK_LOCK: Final = 1 LK_NBLCK: Final = 2 LK_RLCK: Final = 3 LK_NBRLCK: Final = 4 SEM_FAILCRITICALERRORS: Final = 0x0001 SEM_NOALIGNMENTFAULTEXCEPT: Final = 0x0004 SEM_NOGPFAULTERRORBOX: Final = 0x0002 SEM_NOOPENFILEERRORBOX: Final = 0x8000 def locking(fd: int, mode: int, nbytes: int, /) -> None: ... def setmode(fd: int, mode: int, /) -> int: ... def open_osfhandle(handle: int, flags: int, /) -> int: ... def get_osfhandle(fd: int, /) -> int: ... def kbhit() -> bool: ... def getch() -> bytes: ... def getwch() -> str: ... def getche() -> bytes: ... def getwche() -> str: ... def putch(char: bytes | bytearray, /) -> None: ... def putwch(unicode_char: str, /) -> None: ... def ungetch(char: bytes | bytearray, /) -> None: ... def ungetwch(unicode_char: str, /) -> None: ... def heapmin() -> None: ... def SetErrorMode(mode: int, /) -> int: ... if sys.version_info >= (3, 10): def GetErrorMode() -> int: ... # undocumented ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6067655 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/0000755000175100017510000000000015112310012021563 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/__init__.pyi0000644000175100017510000000607415112307767024103 0ustar00runnerrunnerfrom multiprocessing import context, reduction as reducer from multiprocessing.context import ( AuthenticationError as AuthenticationError, BufferTooShort as BufferTooShort, Process as Process, ProcessError as ProcessError, TimeoutError as TimeoutError, ) from multiprocessing.process import ( active_children as active_children, current_process as current_process, parent_process as parent_process, ) # These are technically functions that return instances of these Queue classes. # The stub here doesn't reflect reality exactly -- # while e.g. `multiprocessing.queues.Queue` is a class, # `multiprocessing.Queue` is actually a function at runtime. # Avoid using `multiprocessing.Queue` as a type annotation; # use imports from multiprocessing.queues instead. # See #4266 and #8450 for discussion. from multiprocessing.queues import JoinableQueue as JoinableQueue, Queue as Queue, SimpleQueue as SimpleQueue from multiprocessing.spawn import freeze_support as freeze_support __all__ = [ "Array", "AuthenticationError", "Barrier", "BoundedSemaphore", "BufferTooShort", "Condition", "Event", "JoinableQueue", "Lock", "Manager", "Pipe", "Pool", "Process", "ProcessError", "Queue", "RLock", "RawArray", "RawValue", "Semaphore", "SimpleQueue", "TimeoutError", "Value", "active_children", "allow_connection_pickling", "cpu_count", "current_process", "freeze_support", "get_all_start_methods", "get_context", "get_logger", "get_start_method", "log_to_stderr", "parent_process", "reducer", "set_executable", "set_forkserver_preload", "set_start_method", ] # These functions (really bound methods) # are all autogenerated at runtime here: https://github.com/python/cpython/blob/600c65c094b0b48704d8ec2416930648052ba715/Lib/multiprocessing/__init__.py#L23 RawValue = context._default_context.RawValue RawArray = context._default_context.RawArray Value = context._default_context.Value Array = context._default_context.Array Barrier = context._default_context.Barrier BoundedSemaphore = context._default_context.BoundedSemaphore Condition = context._default_context.Condition Event = context._default_context.Event Lock = context._default_context.Lock RLock = context._default_context.RLock Semaphore = context._default_context.Semaphore Pipe = context._default_context.Pipe Pool = context._default_context.Pool allow_connection_pickling = context._default_context.allow_connection_pickling cpu_count = context._default_context.cpu_count get_logger = context._default_context.get_logger log_to_stderr = context._default_context.log_to_stderr Manager = context._default_context.Manager set_executable = context._default_context.set_executable set_forkserver_preload = context._default_context.set_forkserver_preload get_all_start_methods = context._default_context.get_all_start_methods get_start_method = context._default_context.get_start_method set_start_method = context._default_context.set_start_method get_context = context._default_context.get_context ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/connection.pyi0000644000175100017510000000721315112307767024477 0ustar00runnerrunnerimport socket import sys from _typeshed import Incomplete, ReadableBuffer from collections.abc import Iterable from types import TracebackType from typing import Any, Generic, SupportsIndex, TypeVar from typing_extensions import Self, TypeAlias __all__ = ["Client", "Listener", "Pipe", "wait"] # https://docs.python.org/3/library/multiprocessing.html#address-formats _Address: TypeAlias = str | tuple[str, int] # Defaulting to Any to avoid forcing generics on a lot of pre-existing code _SendT_contra = TypeVar("_SendT_contra", contravariant=True, default=Any) _RecvT_co = TypeVar("_RecvT_co", covariant=True, default=Any) class _ConnectionBase(Generic[_SendT_contra, _RecvT_co]): def __init__(self, handle: SupportsIndex, readable: bool = True, writable: bool = True) -> None: ... @property def closed(self) -> bool: ... # undocumented @property def readable(self) -> bool: ... # undocumented @property def writable(self) -> bool: ... # undocumented def fileno(self) -> int: ... def close(self) -> None: ... def send_bytes(self, buf: ReadableBuffer, offset: int = 0, size: int | None = None) -> None: ... def send(self, obj: _SendT_contra) -> None: ... def recv_bytes(self, maxlength: int | None = None) -> bytes: ... def recv_bytes_into(self, buf: Any, offset: int = 0) -> int: ... def recv(self) -> _RecvT_co: ... def poll(self, timeout: float | None = 0.0) -> bool: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def __del__(self) -> None: ... class Connection(_ConnectionBase[_SendT_contra, _RecvT_co]): ... if sys.platform == "win32": class PipeConnection(_ConnectionBase[_SendT_contra, _RecvT_co]): ... class Listener: def __init__( self, address: _Address | None = None, family: str | None = None, backlog: int = 1, authkey: bytes | None = None ) -> None: ... def accept(self) -> Connection[Incomplete, Incomplete]: ... def close(self) -> None: ... @property def address(self) -> _Address: ... @property def last_accepted(self) -> _Address | None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, exc_tb: TracebackType | None ) -> None: ... # Any: send and recv methods unused if sys.version_info >= (3, 12): def deliver_challenge(connection: Connection[Any, Any], authkey: bytes, digest_name: str = "sha256") -> None: ... else: def deliver_challenge(connection: Connection[Any, Any], authkey: bytes) -> None: ... def answer_challenge(connection: Connection[Any, Any], authkey: bytes) -> None: ... def wait( object_list: Iterable[Connection[_SendT_contra, _RecvT_co] | socket.socket | int], timeout: float | None = None ) -> list[Connection[_SendT_contra, _RecvT_co] | socket.socket | int]: ... def Client(address: _Address, family: str | None = None, authkey: bytes | None = None) -> Connection[Any, Any]: ... # N.B. Keep this in sync with multiprocessing.context.BaseContext.Pipe. # _ConnectionBase is the common base class of Connection and PipeConnection # and can be used in cross-platform code. # # The two connections should have the same generic types but inverted (Connection[_T1, _T2], Connection[_T2, _T1]). # However, TypeVars scoped entirely within a return annotation is unspecified in the spec. if sys.platform != "win32": def Pipe(duplex: bool = True) -> tuple[Connection[Any, Any], Connection[Any, Any]]: ... else: def Pipe(duplex: bool = True) -> tuple[PipeConnection[Any, Any], PipeConnection[Any, Any]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/context.pyi0000644000175100017510000002060215112307767024021 0ustar00runnerrunnerimport ctypes import sys from _ctypes import _CData from collections.abc import Callable, Iterable, Sequence from ctypes import _SimpleCData, c_char from logging import Logger, _Level as _LoggingLevel from multiprocessing import popen_fork, popen_forkserver, popen_spawn_posix, popen_spawn_win32, queues, synchronize from multiprocessing.managers import SyncManager from multiprocessing.pool import Pool as _Pool from multiprocessing.process import BaseProcess from multiprocessing.sharedctypes import Synchronized, SynchronizedArray, SynchronizedString from typing import Any, ClassVar, Literal, TypeVar, overload from typing_extensions import TypeAlias if sys.platform != "win32": from multiprocessing.connection import Connection else: from multiprocessing.connection import PipeConnection __all__ = () _LockLike: TypeAlias = synchronize.Lock | synchronize.RLock _T = TypeVar("_T") _CT = TypeVar("_CT", bound=_CData) class ProcessError(Exception): ... class BufferTooShort(ProcessError): ... class TimeoutError(ProcessError): ... class AuthenticationError(ProcessError): ... class BaseContext: ProcessError: ClassVar[type[ProcessError]] BufferTooShort: ClassVar[type[BufferTooShort]] TimeoutError: ClassVar[type[TimeoutError]] AuthenticationError: ClassVar[type[AuthenticationError]] # N.B. The methods below are applied at runtime to generate # multiprocessing.*, so the signatures should be identical (modulo self). @staticmethod def current_process() -> BaseProcess: ... @staticmethod def parent_process() -> BaseProcess | None: ... @staticmethod def active_children() -> list[BaseProcess]: ... def cpu_count(self) -> int: ... def Manager(self) -> SyncManager: ... # N.B. Keep this in sync with multiprocessing.connection.Pipe. # _ConnectionBase is the common base class of Connection and PipeConnection # and can be used in cross-platform code. # # The two connections should have the same generic types but inverted (Connection[_T1, _T2], Connection[_T2, _T1]). # However, TypeVars scoped entirely within a return annotation is unspecified in the spec. if sys.platform != "win32": def Pipe(self, duplex: bool = True) -> tuple[Connection[Any, Any], Connection[Any, Any]]: ... else: def Pipe(self, duplex: bool = True) -> tuple[PipeConnection[Any, Any], PipeConnection[Any, Any]]: ... def Barrier( self, parties: int, action: Callable[..., object] | None = None, timeout: float | None = None ) -> synchronize.Barrier: ... def BoundedSemaphore(self, value: int = 1) -> synchronize.BoundedSemaphore: ... def Condition(self, lock: _LockLike | None = None) -> synchronize.Condition: ... def Event(self) -> synchronize.Event: ... def Lock(self) -> synchronize.Lock: ... def RLock(self) -> synchronize.RLock: ... def Semaphore(self, value: int = 1) -> synchronize.Semaphore: ... def Queue(self, maxsize: int = 0) -> queues.Queue[Any]: ... def JoinableQueue(self, maxsize: int = 0) -> queues.JoinableQueue[Any]: ... def SimpleQueue(self) -> queues.SimpleQueue[Any]: ... def Pool( self, processes: int | None = None, initializer: Callable[..., object] | None = None, initargs: Iterable[Any] = (), maxtasksperchild: int | None = None, ) -> _Pool: ... @overload def RawValue(self, typecode_or_type: type[_CT], *args: Any) -> _CT: ... @overload def RawValue(self, typecode_or_type: str, *args: Any) -> Any: ... @overload def RawArray(self, typecode_or_type: type[_CT], size_or_initializer: int | Sequence[Any]) -> ctypes.Array[_CT]: ... @overload def RawArray(self, typecode_or_type: str, size_or_initializer: int | Sequence[Any]) -> Any: ... @overload def Value( self, typecode_or_type: type[_SimpleCData[_T]], *args: Any, lock: Literal[True] | _LockLike = True ) -> Synchronized[_T]: ... @overload def Value(self, typecode_or_type: type[_CT], *args: Any, lock: Literal[False]) -> Synchronized[_CT]: ... @overload def Value(self, typecode_or_type: type[_CT], *args: Any, lock: Literal[True] | _LockLike = True) -> Synchronized[_CT]: ... @overload def Value(self, typecode_or_type: str, *args: Any, lock: Literal[True] | _LockLike = True) -> Synchronized[Any]: ... @overload def Value(self, typecode_or_type: str | type[_CData], *args: Any, lock: bool | _LockLike = True) -> Any: ... @overload def Array( self, typecode_or_type: type[_SimpleCData[_T]], size_or_initializer: int | Sequence[Any], *, lock: Literal[False] ) -> SynchronizedArray[_T]: ... @overload def Array( self, typecode_or_type: type[c_char], size_or_initializer: int | Sequence[Any], *, lock: Literal[True] | _LockLike = True ) -> SynchronizedString: ... @overload def Array( self, typecode_or_type: type[_SimpleCData[_T]], size_or_initializer: int | Sequence[Any], *, lock: Literal[True] | _LockLike = True, ) -> SynchronizedArray[_T]: ... @overload def Array( self, typecode_or_type: str, size_or_initializer: int | Sequence[Any], *, lock: Literal[True] | _LockLike = True ) -> SynchronizedArray[Any]: ... @overload def Array( self, typecode_or_type: str | type[_CData], size_or_initializer: int | Sequence[Any], *, lock: bool | _LockLike = True ) -> Any: ... def freeze_support(self) -> None: ... def get_logger(self) -> Logger: ... def log_to_stderr(self, level: _LoggingLevel | None = None) -> Logger: ... def allow_connection_pickling(self) -> None: ... def set_executable(self, executable: str) -> None: ... def set_forkserver_preload(self, module_names: list[str]) -> None: ... if sys.platform != "win32": @overload def get_context(self, method: None = None) -> DefaultContext: ... @overload def get_context(self, method: Literal["spawn"]) -> SpawnContext: ... @overload def get_context(self, method: Literal["fork"]) -> ForkContext: ... @overload def get_context(self, method: Literal["forkserver"]) -> ForkServerContext: ... @overload def get_context(self, method: str) -> BaseContext: ... else: @overload def get_context(self, method: None = None) -> DefaultContext: ... @overload def get_context(self, method: Literal["spawn"]) -> SpawnContext: ... @overload def get_context(self, method: str) -> BaseContext: ... @overload def get_start_method(self, allow_none: Literal[False] = False) -> str: ... @overload def get_start_method(self, allow_none: bool) -> str | None: ... def set_start_method(self, method: str | None, force: bool = False) -> None: ... @property def reducer(self) -> str: ... @reducer.setter def reducer(self, reduction: str) -> None: ... def _check_available(self) -> None: ... class Process(BaseProcess): _start_method: str | None @staticmethod def _Popen(process_obj: BaseProcess) -> DefaultContext: ... class DefaultContext(BaseContext): Process: ClassVar[type[Process]] def __init__(self, context: BaseContext) -> None: ... def get_start_method(self, allow_none: bool = False) -> str: ... def get_all_start_methods(self) -> list[str]: ... _default_context: DefaultContext class SpawnProcess(BaseProcess): _start_method: str if sys.platform != "win32": @staticmethod def _Popen(process_obj: BaseProcess) -> popen_spawn_posix.Popen: ... else: @staticmethod def _Popen(process_obj: BaseProcess) -> popen_spawn_win32.Popen: ... class SpawnContext(BaseContext): _name: str Process: ClassVar[type[SpawnProcess]] if sys.platform != "win32": class ForkProcess(BaseProcess): _start_method: str @staticmethod def _Popen(process_obj: BaseProcess) -> popen_fork.Popen: ... class ForkServerProcess(BaseProcess): _start_method: str @staticmethod def _Popen(process_obj: BaseProcess) -> popen_forkserver.Popen: ... class ForkContext(BaseContext): _name: str Process: ClassVar[type[ForkProcess]] class ForkServerContext(BaseContext): _name: str Process: ClassVar[type[ForkServerProcess]] def _force_start_method(method: str) -> None: ... def get_spawning_popen() -> Any | None: ... def set_spawning_popen(popen: Any) -> None: ... def assert_spawning(obj: Any) -> None: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6067655 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/dummy/0000755000175100017510000000000015112310012022716 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/dummy/__init__.pyi0000644000175100017510000000361715112307767025236 0ustar00runnerrunnerimport array import threading import weakref from collections.abc import Callable, Iterable, Mapping, Sequence from queue import Queue as Queue from threading import ( Barrier as Barrier, BoundedSemaphore as BoundedSemaphore, Condition as Condition, Event as Event, Lock as Lock, RLock as RLock, Semaphore as Semaphore, ) from typing import Any, Literal from .connection import Pipe as Pipe __all__ = [ "Process", "current_process", "active_children", "freeze_support", "Lock", "RLock", "Semaphore", "BoundedSemaphore", "Condition", "Event", "Barrier", "Queue", "Manager", "Pipe", "Pool", "JoinableQueue", ] JoinableQueue = Queue class DummyProcess(threading.Thread): _children: weakref.WeakKeyDictionary[Any, Any] _parent: threading.Thread _pid: None _start_called: int @property def exitcode(self) -> Literal[0] | None: ... def __init__( self, group: Any = None, target: Callable[..., object] | None = None, name: str | None = None, args: Iterable[Any] = (), kwargs: Mapping[str, Any] = {}, ) -> None: ... Process = DummyProcess class Namespace: def __init__(self, **kwds: Any) -> None: ... def __getattr__(self, name: str, /) -> Any: ... def __setattr__(self, name: str, value: Any, /) -> None: ... class Value: _typecode: Any _value: Any value: Any def __init__(self, typecode: Any, value: Any, lock: Any = True) -> None: ... def Array(typecode: Any, sequence: Sequence[Any], lock: Any = True) -> array.array[Any]: ... def Manager() -> Any: ... def Pool(processes: int | None = None, initializer: Callable[..., object] | None = None, initargs: Iterable[Any] = ()) -> Any: ... def active_children() -> list[Any]: ... current_process = threading.current_thread def freeze_support() -> None: ... def shutdown() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/dummy/connection.pyi0000644000175100017510000000240215112307767025625 0ustar00runnerrunnerfrom multiprocessing.connection import _Address from queue import Queue from types import TracebackType from typing import Any from typing_extensions import Self __all__ = ["Client", "Listener", "Pipe"] families: list[None] class Connection: _in: Any _out: Any recv: Any recv_bytes: Any send: Any send_bytes: Any def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def __init__(self, _in: Any, _out: Any) -> None: ... def close(self) -> None: ... def poll(self, timeout: float = 0.0) -> bool: ... class Listener: _backlog_queue: Queue[Any] | None @property def address(self) -> Queue[Any] | None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def __init__(self, address: _Address | None = None, family: int | None = None, backlog: int = 1) -> None: ... def accept(self) -> Connection: ... def close(self) -> None: ... def Client(address: _Address) -> Connection: ... def Pipe(duplex: bool = True) -> tuple[Connection, Connection]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/forkserver.pyi0000644000175100017510000000262015112307767024525 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptorLike, Unused from collections.abc import Sequence from struct import Struct from typing import Any, Final __all__ = ["ensure_running", "get_inherited_fds", "connect_to_new_process", "set_forkserver_preload"] MAXFDS_TO_SEND: Final = 256 SIGNED_STRUCT: Final[Struct] class ForkServer: def set_forkserver_preload(self, modules_names: list[str]) -> None: ... def get_inherited_fds(self) -> list[int] | None: ... def connect_to_new_process(self, fds: Sequence[int]) -> tuple[int, int]: ... def ensure_running(self) -> None: ... if sys.version_info >= (3, 14): def main( listener_fd: int | None, alive_r: FileDescriptorLike, preload: Sequence[str], main_path: str | None = None, sys_path: list[str] | None = None, *, authkey_r: int | None = None, ) -> None: ... else: def main( listener_fd: int | None, alive_r: FileDescriptorLike, preload: Sequence[str], main_path: str | None = None, sys_path: Unused = None, ) -> None: ... def read_signed(fd: int) -> Any: ... def write_signed(fd: int, n: int) -> None: ... _forkserver: ForkServer ensure_running = _forkserver.ensure_running get_inherited_fds = _forkserver.get_inherited_fds connect_to_new_process = _forkserver.connect_to_new_process set_forkserver_preload = _forkserver.set_forkserver_preload ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/heap.pyi0000644000175100017510000000207415112307767023255 0ustar00runnerrunnerimport sys from _typeshed import Incomplete from collections.abc import Callable from mmap import mmap from typing import Protocol, type_check_only from typing_extensions import TypeAlias __all__ = ["BufferWrapper"] class Arena: size: int buffer: mmap if sys.platform == "win32": name: str def __init__(self, size: int) -> None: ... else: fd: int def __init__(self, size: int, fd: int = -1) -> None: ... _Block: TypeAlias = tuple[Arena, int, int] if sys.platform != "win32": @type_check_only class _SupportsDetach(Protocol): def detach(self) -> int: ... def reduce_arena(a: Arena) -> tuple[Callable[[int, _SupportsDetach], Arena], tuple[int, Incomplete]]: ... def rebuild_arena(size: int, dupfd: _SupportsDetach) -> Arena: ... class Heap: def __init__(self, size: int = ...) -> None: ... def free(self, block: _Block) -> None: ... def malloc(self, size: int) -> _Block: ... class BufferWrapper: def __init__(self, size: int) -> None: ... def create_memoryview(self) -> memoryview: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/managers.pyi0000644000175100017510000003673015112307767024143 0ustar00runnerrunnerimport queue import sys import threading from _typeshed import SupportsKeysAndGetItem, SupportsRichComparison, SupportsRichComparisonT from collections.abc import ( Callable, Iterable, Iterator, Mapping, MutableMapping, MutableSequence, MutableSet, Sequence, Set as AbstractSet, ) from types import GenericAlias, TracebackType from typing import Any, AnyStr, ClassVar, Generic, SupportsIndex, TypeVar, overload from typing_extensions import Self, TypeAlias from . import pool from .connection import Connection, _Address from .context import BaseContext from .shared_memory import _SLT, ShareableList as _ShareableList, SharedMemory as _SharedMemory from .util import Finalize as _Finalize __all__ = ["BaseManager", "SyncManager", "BaseProxy", "Token", "SharedMemoryManager"] _T = TypeVar("_T") _KT = TypeVar("_KT") _VT = TypeVar("_VT") _S = TypeVar("_S") class Namespace: def __init__(self, **kwds: Any) -> None: ... def __getattr__(self, name: str, /) -> Any: ... def __setattr__(self, name: str, value: Any, /) -> None: ... _Namespace: TypeAlias = Namespace class Token: __slots__ = ("typeid", "address", "id") typeid: str | bytes | None address: _Address | None id: str | bytes | int | None def __init__(self, typeid: bytes | str | None, address: _Address | None, id: str | bytes | int | None) -> None: ... def __getstate__(self) -> tuple[str | bytes | None, tuple[str | bytes, int], str | bytes | int | None]: ... def __setstate__(self, state: tuple[str | bytes | None, tuple[str | bytes, int], str | bytes | int | None]) -> None: ... class BaseProxy: _address_to_local: dict[_Address, Any] _mutex: Any def __init__( self, token: Any, serializer: str, manager: Any = None, authkey: AnyStr | None = None, exposed: Any = None, incref: bool = True, manager_owned: bool = False, ) -> None: ... def __deepcopy__(self, memo: Any | None) -> Any: ... def _callmethod(self, methodname: str, args: tuple[Any, ...] = (), kwds: dict[Any, Any] = {}) -> None: ... def _getvalue(self) -> Any: ... def __reduce__(self) -> tuple[Any, tuple[Any, Any, str, dict[Any, Any]]]: ... class ValueProxy(BaseProxy, Generic[_T]): def get(self) -> _T: ... def set(self, value: _T) -> None: ... value: _T def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... if sys.version_info >= (3, 13): class _BaseDictProxy(BaseProxy, MutableMapping[_KT, _VT]): __builtins__: ClassVar[dict[str, Any]] def __len__(self) -> int: ... def __getitem__(self, key: _KT, /) -> _VT: ... def __setitem__(self, key: _KT, value: _VT, /) -> None: ... def __delitem__(self, key: _KT, /) -> None: ... def __iter__(self) -> Iterator[_KT]: ... def copy(self) -> dict[_KT, _VT]: ... @overload # type: ignore[override] def get(self, key: _KT, /) -> _VT | None: ... @overload def get(self, key: _KT, default: _VT, /) -> _VT: ... @overload def get(self, key: _KT, default: _T, /) -> _VT | _T: ... @overload def pop(self, key: _KT, /) -> _VT: ... @overload def pop(self, key: _KT, default: _VT, /) -> _VT: ... @overload def pop(self, key: _KT, default: _T, /) -> _VT | _T: ... def keys(self) -> list[_KT]: ... # type: ignore[override] def items(self) -> list[tuple[_KT, _VT]]: ... # type: ignore[override] def values(self) -> list[_VT]: ... # type: ignore[override] class DictProxy(_BaseDictProxy[_KT, _VT]): def __class_getitem__(cls, args: Any, /) -> GenericAlias: ... else: class DictProxy(BaseProxy, MutableMapping[_KT, _VT]): __builtins__: ClassVar[dict[str, Any]] def __len__(self) -> int: ... def __getitem__(self, key: _KT, /) -> _VT: ... def __setitem__(self, key: _KT, value: _VT, /) -> None: ... def __delitem__(self, key: _KT, /) -> None: ... def __iter__(self) -> Iterator[_KT]: ... def copy(self) -> dict[_KT, _VT]: ... @overload # type: ignore[override] def get(self, key: _KT, /) -> _VT | None: ... @overload def get(self, key: _KT, default: _VT, /) -> _VT: ... @overload def get(self, key: _KT, default: _T, /) -> _VT | _T: ... @overload def pop(self, key: _KT, /) -> _VT: ... @overload def pop(self, key: _KT, default: _VT, /) -> _VT: ... @overload def pop(self, key: _KT, default: _T, /) -> _VT | _T: ... def keys(self) -> list[_KT]: ... # type: ignore[override] def items(self) -> list[tuple[_KT, _VT]]: ... # type: ignore[override] def values(self) -> list[_VT]: ... # type: ignore[override] if sys.version_info >= (3, 14): class _BaseSetProxy(BaseProxy, MutableSet[_T]): __builtins__: ClassVar[dict[str, Any]] # Copied from builtins.set def add(self, element: _T, /) -> None: ... def copy(self) -> set[_T]: ... def clear(self) -> None: ... def difference(self, *s: Iterable[Any]) -> set[_T]: ... def difference_update(self, *s: Iterable[Any]) -> None: ... def discard(self, element: _T, /) -> None: ... def intersection(self, *s: Iterable[Any]) -> set[_T]: ... def intersection_update(self, *s: Iterable[Any]) -> None: ... def isdisjoint(self, s: Iterable[Any], /) -> bool: ... def issubset(self, s: Iterable[Any], /) -> bool: ... def issuperset(self, s: Iterable[Any], /) -> bool: ... def pop(self) -> _T: ... def remove(self, element: _T, /) -> None: ... def symmetric_difference(self, s: Iterable[_T], /) -> set[_T]: ... def symmetric_difference_update(self, s: Iterable[_T], /) -> None: ... def union(self, *s: Iterable[_S]) -> set[_T | _S]: ... def update(self, *s: Iterable[_T]) -> None: ... def __len__(self) -> int: ... def __contains__(self, o: object, /) -> bool: ... def __iter__(self) -> Iterator[_T]: ... def __and__(self, value: AbstractSet[object], /) -> set[_T]: ... def __iand__(self, value: AbstractSet[object], /) -> Self: ... def __or__(self, value: AbstractSet[_S], /) -> set[_T | _S]: ... def __ior__(self, value: AbstractSet[_T], /) -> Self: ... # type: ignore[override,misc] def __sub__(self, value: AbstractSet[_T | None], /) -> set[_T]: ... def __isub__(self, value: AbstractSet[object], /) -> Self: ... def __xor__(self, value: AbstractSet[_S], /) -> set[_T | _S]: ... def __ixor__(self, value: AbstractSet[_T], /) -> Self: ... # type: ignore[override,misc] def __le__(self, value: AbstractSet[object], /) -> bool: ... def __lt__(self, value: AbstractSet[object], /) -> bool: ... def __ge__(self, value: AbstractSet[object], /) -> bool: ... def __gt__(self, value: AbstractSet[object], /) -> bool: ... def __eq__(self, value: object, /) -> bool: ... def __rand__(self, value: AbstractSet[object], /) -> set[_T]: ... def __ror__(self, value: AbstractSet[_S], /) -> set[_T | _S]: ... # type: ignore[misc] def __rsub__(self, value: AbstractSet[_T], /) -> set[_T]: ... def __rxor__(self, value: AbstractSet[_S], /) -> set[_T | _S]: ... # type: ignore[misc] def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class SetProxy(_BaseSetProxy[_T]): ... class BaseListProxy(BaseProxy, MutableSequence[_T]): __builtins__: ClassVar[dict[str, Any]] def __len__(self) -> int: ... def __add__(self, x: list[_T], /) -> list[_T]: ... def __delitem__(self, i: SupportsIndex | slice, /) -> None: ... @overload def __getitem__(self, i: SupportsIndex, /) -> _T: ... @overload def __getitem__(self, s: slice, /) -> list[_T]: ... @overload def __setitem__(self, i: SupportsIndex, o: _T, /) -> None: ... @overload def __setitem__(self, s: slice, o: Iterable[_T], /) -> None: ... def __mul__(self, n: SupportsIndex, /) -> list[_T]: ... def __rmul__(self, n: SupportsIndex, /) -> list[_T]: ... def __imul__(self, value: SupportsIndex, /) -> Self: ... def __reversed__(self) -> Iterator[_T]: ... def append(self, object: _T, /) -> None: ... def extend(self, iterable: Iterable[_T], /) -> None: ... def pop(self, index: SupportsIndex = ..., /) -> _T: ... def index(self, value: _T, start: SupportsIndex = ..., stop: SupportsIndex = ..., /) -> int: ... def count(self, value: _T, /) -> int: ... def insert(self, index: SupportsIndex, object: _T, /) -> None: ... def remove(self, value: _T, /) -> None: ... # Use BaseListProxy[SupportsRichComparisonT] for the first overload rather than [SupportsRichComparison] # to work around invariance @overload def sort(self: BaseListProxy[SupportsRichComparisonT], *, key: None = None, reverse: bool = ...) -> None: ... @overload def sort(self, *, key: Callable[[_T], SupportsRichComparison], reverse: bool = ...) -> None: ... class ListProxy(BaseListProxy[_T]): def __iadd__(self, value: Iterable[_T], /) -> Self: ... # type: ignore[override] def __imul__(self, value: SupportsIndex, /) -> Self: ... # type: ignore[override] if sys.version_info >= (3, 13): def __class_getitem__(cls, args: Any, /) -> Any: ... # Send is (kind, result) # Receive is (id, methodname, args, kwds) _ServerConnection: TypeAlias = Connection[tuple[str, Any], tuple[str, str, Iterable[Any], Mapping[str, Any]]] # Returned by BaseManager.get_server() class Server: address: _Address | None id_to_obj: dict[str, tuple[Any, set[str], dict[str, str]]] fallback_mapping: dict[str, Callable[[_ServerConnection, str, Any], Any]] public: list[str] # Registry values are (callable, exposed, method_to_typeid, proxytype) def __init__( self, registry: dict[str, tuple[Callable[..., Any], Iterable[str], dict[str, str], Any]], address: _Address | None, authkey: bytes, serializer: str, ) -> None: ... def serve_forever(self) -> None: ... def accepter(self) -> None: ... if sys.version_info >= (3, 10): def handle_request(self, conn: _ServerConnection) -> None: ... else: def handle_request(self, c: _ServerConnection) -> None: ... def serve_client(self, conn: _ServerConnection) -> None: ... def fallback_getvalue(self, conn: _ServerConnection, ident: str, obj: _T) -> _T: ... def fallback_str(self, conn: _ServerConnection, ident: str, obj: Any) -> str: ... def fallback_repr(self, conn: _ServerConnection, ident: str, obj: Any) -> str: ... def dummy(self, c: _ServerConnection) -> None: ... def debug_info(self, c: _ServerConnection) -> str: ... def number_of_objects(self, c: _ServerConnection) -> int: ... def shutdown(self, c: _ServerConnection) -> None: ... def create(self, c: _ServerConnection, typeid: str, /, *args: Any, **kwds: Any) -> tuple[str, tuple[str, ...]]: ... def get_methods(self, c: _ServerConnection, token: Token) -> set[str]: ... def accept_connection(self, c: _ServerConnection, name: str) -> None: ... def incref(self, c: _ServerConnection, ident: str) -> None: ... def decref(self, c: _ServerConnection, ident: str) -> None: ... class BaseManager: if sys.version_info >= (3, 11): def __init__( self, address: _Address | None = None, authkey: bytes | None = None, serializer: str = "pickle", ctx: BaseContext | None = None, *, shutdown_timeout: float = 1.0, ) -> None: ... else: def __init__( self, address: _Address | None = None, authkey: bytes | None = None, serializer: str = "pickle", ctx: BaseContext | None = None, ) -> None: ... def get_server(self) -> Server: ... def connect(self) -> None: ... def start(self, initializer: Callable[..., object] | None = None, initargs: Iterable[Any] = ()) -> None: ... shutdown: _Finalize # only available after start() was called def join(self, timeout: float | None = None) -> None: ... # undocumented @property def address(self) -> _Address | None: ... @classmethod def register( cls, typeid: str, callable: Callable[..., object] | None = None, proxytype: Any = None, exposed: Sequence[str] | None = None, method_to_typeid: Mapping[str, str] | None = None, create_method: bool = True, ) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... class SyncManager(BaseManager): def Barrier( self, parties: int, action: Callable[[], None] | None = None, timeout: float | None = None ) -> threading.Barrier: ... def BoundedSemaphore(self, value: int = 1) -> threading.BoundedSemaphore: ... def Condition(self, lock: threading.Lock | threading._RLock | None = None) -> threading.Condition: ... def Event(self) -> threading.Event: ... def Lock(self) -> threading.Lock: ... def Namespace(self) -> _Namespace: ... def Pool( self, processes: int | None = None, initializer: Callable[..., object] | None = None, initargs: Iterable[Any] = (), maxtasksperchild: int | None = None, context: Any | None = None, ) -> pool.Pool: ... def Queue(self, maxsize: int = ...) -> queue.Queue[Any]: ... def JoinableQueue(self, maxsize: int = ...) -> queue.Queue[Any]: ... def RLock(self) -> threading.RLock: ... def Semaphore(self, value: int = 1) -> threading.Semaphore: ... def Array(self, typecode: Any, sequence: Sequence[_T]) -> Sequence[_T]: ... def Value(self, typecode: Any, value: _T) -> ValueProxy[_T]: ... # Overloads are copied from builtins.dict.__init__ @overload def dict(self) -> DictProxy[Any, Any]: ... @overload def dict(self, **kwargs: _VT) -> DictProxy[str, _VT]: ... @overload def dict(self, map: SupportsKeysAndGetItem[_KT, _VT], /) -> DictProxy[_KT, _VT]: ... @overload def dict(self, map: SupportsKeysAndGetItem[str, _VT], /, **kwargs: _VT) -> DictProxy[str, _VT]: ... @overload def dict(self, iterable: Iterable[tuple[_KT, _VT]], /) -> DictProxy[_KT, _VT]: ... @overload def dict(self, iterable: Iterable[tuple[str, _VT]], /, **kwargs: _VT) -> DictProxy[str, _VT]: ... @overload def dict(self, iterable: Iterable[list[str]], /) -> DictProxy[str, str]: ... @overload def dict(self, iterable: Iterable[list[bytes]], /) -> DictProxy[bytes, bytes]: ... @overload def list(self, sequence: Sequence[_T], /) -> ListProxy[_T]: ... @overload def list(self) -> ListProxy[Any]: ... if sys.version_info >= (3, 14): @overload def set(self, iterable: Iterable[_T], /) -> SetProxy[_T]: ... @overload def set(self) -> SetProxy[Any]: ... class RemoteError(Exception): ... class SharedMemoryServer(Server): def track_segment(self, c: _ServerConnection, segment_name: str) -> None: ... def release_segment(self, c: _ServerConnection, segment_name: str) -> None: ... def list_segments(self, c: _ServerConnection) -> list[str]: ... class SharedMemoryManager(BaseManager): def get_server(self) -> SharedMemoryServer: ... def SharedMemory(self, size: int) -> _SharedMemory: ... def ShareableList(self, sequence: Iterable[_SLT] | None) -> _ShareableList[_SLT]: ... def __del__(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/pool.pyi0000644000175100017510000000754215112307767023316 0ustar00runnerrunnerfrom collections.abc import Callable, Iterable, Iterator, Mapping from multiprocessing.context import DefaultContext, Process from types import GenericAlias, TracebackType from typing import Any, Final, Generic, TypeVar from typing_extensions import Self __all__ = ["Pool", "ThreadPool"] _S = TypeVar("_S") _T = TypeVar("_T") class ApplyResult(Generic[_T]): def __init__( self, pool: Pool, callback: Callable[[_T], object] | None, error_callback: Callable[[BaseException], object] | None ) -> None: ... def get(self, timeout: float | None = None) -> _T: ... def wait(self, timeout: float | None = None) -> None: ... def ready(self) -> bool: ... def successful(self) -> bool: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... # alias created during issue #17805 AsyncResult = ApplyResult class MapResult(ApplyResult[list[_T]]): def __init__( self, pool: Pool, chunksize: int, length: int, callback: Callable[[list[_T]], object] | None, error_callback: Callable[[BaseException], object] | None, ) -> None: ... class IMapIterator(Iterator[_T]): def __init__(self, pool: Pool) -> None: ... def __iter__(self) -> Self: ... def next(self, timeout: float | None = None) -> _T: ... def __next__(self, timeout: float | None = None) -> _T: ... class IMapUnorderedIterator(IMapIterator[_T]): ... class Pool: def __init__( self, processes: int | None = None, initializer: Callable[..., object] | None = None, initargs: Iterable[Any] = (), maxtasksperchild: int | None = None, context: Any | None = None, ) -> None: ... @staticmethod def Process(ctx: DefaultContext, *args: Any, **kwds: Any) -> Process: ... def apply(self, func: Callable[..., _T], args: Iterable[Any] = (), kwds: Mapping[str, Any] = {}) -> _T: ... def apply_async( self, func: Callable[..., _T], args: Iterable[Any] = (), kwds: Mapping[str, Any] = {}, callback: Callable[[_T], object] | None = None, error_callback: Callable[[BaseException], object] | None = None, ) -> AsyncResult[_T]: ... def map(self, func: Callable[[_S], _T], iterable: Iterable[_S], chunksize: int | None = None) -> list[_T]: ... def map_async( self, func: Callable[[_S], _T], iterable: Iterable[_S], chunksize: int | None = None, callback: Callable[[list[_T]], object] | None = None, error_callback: Callable[[BaseException], object] | None = None, ) -> MapResult[_T]: ... def imap(self, func: Callable[[_S], _T], iterable: Iterable[_S], chunksize: int | None = 1) -> IMapIterator[_T]: ... def imap_unordered(self, func: Callable[[_S], _T], iterable: Iterable[_S], chunksize: int | None = 1) -> IMapIterator[_T]: ... def starmap(self, func: Callable[..., _T], iterable: Iterable[Iterable[Any]], chunksize: int | None = None) -> list[_T]: ... def starmap_async( self, func: Callable[..., _T], iterable: Iterable[Iterable[Any]], chunksize: int | None = None, callback: Callable[[list[_T]], object] | None = None, error_callback: Callable[[BaseException], object] | None = None, ) -> AsyncResult[list[_T]]: ... def close(self) -> None: ... def terminate(self) -> None: ... def join(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def __del__(self) -> None: ... class ThreadPool(Pool): def __init__( self, processes: int | None = None, initializer: Callable[..., object] | None = None, initargs: Iterable[Any] = () ) -> None: ... # undocumented INIT: Final = "INIT" RUN: Final = "RUN" CLOSE: Final = "CLOSE" TERMINATE: Final = "TERMINATE" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/popen_fork.pyi0000644000175100017510000000145215112307767024501 0ustar00runnerrunnerimport sys from typing import ClassVar from .process import BaseProcess from .util import Finalize if sys.platform != "win32": __all__ = ["Popen"] class Popen: finalizer: Finalize | None method: ClassVar[str] pid: int returncode: int | None sentinel: int # doesn't exist if os.fork in _launch returns 0 def __init__(self, process_obj: BaseProcess) -> None: ... def duplicate_for_child(self, fd: int) -> int: ... def poll(self, flag: int = 1) -> int | None: ... def wait(self, timeout: float | None = None) -> int | None: ... if sys.version_info >= (3, 14): def interrupt(self) -> None: ... def terminate(self) -> None: ... def kill(self) -> None: ... def close(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/popen_forkserver.pyi0000644000175100017510000000054115112307767025726 0ustar00runnerrunnerimport sys from typing import ClassVar from . import popen_fork from .util import Finalize if sys.platform != "win32": __all__ = ["Popen"] class _DupFd: def __init__(self, ind: int) -> None: ... def detach(self) -> int: ... class Popen(popen_fork.Popen): DupFd: ClassVar[type[_DupFd]] finalizer: Finalize ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/popen_spawn_posix.pyi0000644000175100017510000000101415112307767026104 0ustar00runnerrunnerimport sys from typing import ClassVar from . import popen_fork from .util import Finalize if sys.platform != "win32": __all__ = ["Popen"] class _DupFd: fd: int def __init__(self, fd: int) -> None: ... def detach(self) -> int: ... class Popen(popen_fork.Popen): DupFd: ClassVar[type[_DupFd]] finalizer: Finalize pid: int # may not exist if _launch raises in second try / except sentinel: int # may not exist if _launch raises in second try / except ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/popen_spawn_win32.pyi0000644000175100017510000000140515112307767025710 0ustar00runnerrunnerimport sys from multiprocessing.process import BaseProcess from typing import ClassVar, Final from .util import Finalize if sys.platform == "win32": __all__ = ["Popen"] TERMINATE: Final[int] WINEXE: Final[bool] WINSERVICE: Final[bool] WINENV: Final[bool] class Popen: finalizer: Finalize method: ClassVar[str] pid: int returncode: int | None sentinel: int def __init__(self, process_obj: BaseProcess) -> None: ... def duplicate_for_child(self, handle: int) -> int: ... def wait(self, timeout: float | None = None) -> int | None: ... def poll(self) -> int | None: ... def terminate(self) -> None: ... kill = terminate def close(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/process.pyi0000644000175100017510000000223115112307767024011 0ustar00runnerrunnerfrom collections.abc import Callable, Iterable, Mapping from typing import Any __all__ = ["BaseProcess", "current_process", "active_children", "parent_process"] class BaseProcess: name: str daemon: bool authkey: bytes _identity: tuple[int, ...] # undocumented def __init__( self, group: None = None, target: Callable[..., object] | None = None, name: str | None = None, args: Iterable[Any] = (), kwargs: Mapping[str, Any] = {}, *, daemon: bool | None = None, ) -> None: ... def run(self) -> None: ... def start(self) -> None: ... def terminate(self) -> None: ... def kill(self) -> None: ... def close(self) -> None: ... def join(self, timeout: float | None = None) -> None: ... def is_alive(self) -> bool: ... @property def exitcode(self) -> int | None: ... @property def ident(self) -> int | None: ... @property def pid(self) -> int | None: ... @property def sentinel(self) -> int: ... def current_process() -> BaseProcess: ... def active_children() -> list[BaseProcess]: ... def parent_process() -> BaseProcess | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/queues.pyi0000644000175100017510000000253715112307767023653 0ustar00runnerrunnerimport sys from types import GenericAlias from typing import Any, Generic, TypeVar __all__ = ["Queue", "SimpleQueue", "JoinableQueue"] _T = TypeVar("_T") class Queue(Generic[_T]): # FIXME: `ctx` is a circular dependency and it's not actually optional. # It's marked as such to be able to use the generic Queue in __init__.pyi. def __init__(self, maxsize: int = 0, *, ctx: Any = ...) -> None: ... def put(self, obj: _T, block: bool = True, timeout: float | None = None) -> None: ... def get(self, block: bool = True, timeout: float | None = None) -> _T: ... def qsize(self) -> int: ... def empty(self) -> bool: ... def full(self) -> bool: ... def get_nowait(self) -> _T: ... def put_nowait(self, obj: _T) -> None: ... def close(self) -> None: ... def join_thread(self) -> None: ... def cancel_join_thread(self) -> None: ... if sys.version_info >= (3, 12): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class JoinableQueue(Queue[_T]): def task_done(self) -> None: ... def join(self) -> None: ... class SimpleQueue(Generic[_T]): def __init__(self, *, ctx: Any = ...) -> None: ... def close(self) -> None: ... def empty(self) -> bool: ... def get(self) -> _T: ... def put(self, obj: _T) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/reduction.pyi0000644000175100017510000000606715112307767024342 0ustar00runnerrunnerimport pickle import sys from _pickle import _ReducedType from _typeshed import HasFileno, SupportsWrite, Unused from abc import ABCMeta from builtins import type as Type # alias to avoid name clash from collections.abc import Callable from copyreg import _DispatchTableType from multiprocessing import connection from socket import socket from typing import Any, Final if sys.platform == "win32": __all__ = ["send_handle", "recv_handle", "ForkingPickler", "register", "dump", "DupHandle", "duplicate", "steal_handle"] else: __all__ = ["send_handle", "recv_handle", "ForkingPickler", "register", "dump", "DupFd", "sendfds", "recvfds"] HAVE_SEND_HANDLE: Final[bool] class ForkingPickler(pickle.Pickler): dispatch_table: _DispatchTableType def __init__(self, file: SupportsWrite[bytes], protocol: int | None = ...) -> None: ... @classmethod def register(cls, type: Type, reduce: Callable[[Any], _ReducedType]) -> None: ... @classmethod def dumps(cls, obj: Any, protocol: int | None = None) -> memoryview: ... loads = pickle.loads register = ForkingPickler.register def dump(obj: Any, file: SupportsWrite[bytes], protocol: int | None = None) -> None: ... if sys.platform == "win32": def duplicate( handle: int, target_process: int | None = None, inheritable: bool = False, *, source_process: int | None = None ) -> int: ... def steal_handle(source_pid: int, handle: int) -> int: ... def send_handle(conn: connection.PipeConnection[DupHandle, Any], handle: int, destination_pid: int) -> None: ... def recv_handle(conn: connection.PipeConnection[Any, DupHandle]) -> int: ... class DupHandle: def __init__(self, handle: int, access: int, pid: int | None = None) -> None: ... def detach(self) -> int: ... else: if sys.version_info < (3, 14): ACKNOWLEDGE: Final[bool] def recvfds(sock: socket, size: int) -> list[int]: ... def send_handle(conn: HasFileno, handle: int, destination_pid: Unused) -> None: ... def recv_handle(conn: HasFileno) -> int: ... def sendfds(sock: socket, fds: list[int]) -> None: ... def DupFd(fd: int) -> Any: ... # Return type is really hard to get right # These aliases are to work around pyright complaints. # Pyright doesn't like it when a class object is defined as an alias # of a global object with the same name. _ForkingPickler = ForkingPickler _register = register _dump = dump _send_handle = send_handle _recv_handle = recv_handle if sys.platform == "win32": _steal_handle = steal_handle _duplicate = duplicate _DupHandle = DupHandle else: _sendfds = sendfds _recvfds = recvfds _DupFd = DupFd class AbstractReducer(metaclass=ABCMeta): ForkingPickler = _ForkingPickler register = _register dump = _dump send_handle = _send_handle recv_handle = _recv_handle if sys.platform == "win32": steal_handle = _steal_handle duplicate = _duplicate DupHandle = _DupHandle else: sendfds = _sendfds recvfds = _recvfds DupFd = _DupFd def __init__(self, *args: Unused) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/resource_sharer.pyi0000644000175100017510000000064415112307767025534 0ustar00runnerrunnerimport sys from socket import socket __all__ = ["stop"] if sys.platform == "win32": __all__ += ["DupSocket"] class DupSocket: def __init__(self, sock: socket) -> None: ... def detach(self) -> socket: ... else: __all__ += ["DupFd"] class DupFd: def __init__(self, fd: int) -> None: ... def detach(self) -> int: ... def stop(timeout: float | None = None) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/resource_tracker.pyi0000644000175100017510000000126715112307767025705 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptorOrPath from collections.abc import Sized __all__ = ["ensure_running", "register", "unregister"] class ResourceTracker: def getfd(self) -> int | None: ... def ensure_running(self) -> None: ... def register(self, name: Sized, rtype: str) -> None: ... def unregister(self, name: Sized, rtype: str) -> None: ... if sys.version_info >= (3, 12): def __del__(self) -> None: ... _resource_tracker: ResourceTracker ensure_running = _resource_tracker.ensure_running register = _resource_tracker.register unregister = _resource_tracker.unregister getfd = _resource_tracker.getfd def main(fd: FileDescriptorOrPath) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/shared_memory.pyi0000644000175100017510000000273415112307767025201 0ustar00runnerrunnerimport sys from collections.abc import Iterable from types import GenericAlias from typing import Any, Generic, TypeVar, overload from typing_extensions import Self __all__ = ["SharedMemory", "ShareableList"] _SLT = TypeVar("_SLT", int, float, bool, str, bytes, None) class SharedMemory: if sys.version_info >= (3, 13): def __init__(self, name: str | None = None, create: bool = False, size: int = 0, *, track: bool = True) -> None: ... else: def __init__(self, name: str | None = None, create: bool = False, size: int = 0) -> None: ... @property def buf(self) -> memoryview | None: ... @property def name(self) -> str: ... @property def size(self) -> int: ... def close(self) -> None: ... def unlink(self) -> None: ... def __del__(self) -> None: ... class ShareableList(Generic[_SLT]): shm: SharedMemory @overload def __init__(self, sequence: None = None, *, name: str | None = None) -> None: ... @overload def __init__(self, sequence: Iterable[_SLT], *, name: str | None = None) -> None: ... def __getitem__(self, position: int) -> _SLT: ... def __setitem__(self, position: int, value: _SLT) -> None: ... def __reduce__(self) -> tuple[Self, tuple[_SLT, ...]]: ... def __len__(self) -> int: ... @property def format(self) -> str: ... def count(self, value: _SLT) -> int: ... def index(self, value: _SLT) -> int: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/sharedctypes.pyi0000644000175100017510000001164715112307767025044 0ustar00runnerrunnerimport ctypes from _ctypes import _CData from collections.abc import Callable, Iterable, Sequence from ctypes import _SimpleCData, c_char from multiprocessing.context import BaseContext from multiprocessing.synchronize import _LockLike from types import TracebackType from typing import Any, Generic, Literal, Protocol, TypeVar, overload, type_check_only __all__ = ["RawValue", "RawArray", "Value", "Array", "copy", "synchronized"] _T = TypeVar("_T") _CT = TypeVar("_CT", bound=_CData) @overload def RawValue(typecode_or_type: type[_CT], *args: Any) -> _CT: ... @overload def RawValue(typecode_or_type: str, *args: Any) -> Any: ... @overload def RawArray(typecode_or_type: type[_CT], size_or_initializer: int | Sequence[Any]) -> ctypes.Array[_CT]: ... @overload def RawArray(typecode_or_type: str, size_or_initializer: int | Sequence[Any]) -> Any: ... @overload def Value(typecode_or_type: type[_CT], *args: Any, lock: Literal[False], ctx: BaseContext | None = None) -> _CT: ... @overload def Value( typecode_or_type: type[_CT], *args: Any, lock: Literal[True] | _LockLike = True, ctx: BaseContext | None = None ) -> SynchronizedBase[_CT]: ... @overload def Value( typecode_or_type: str, *args: Any, lock: Literal[True] | _LockLike = True, ctx: BaseContext | None = None ) -> SynchronizedBase[Any]: ... @overload def Value( typecode_or_type: str | type[_CData], *args: Any, lock: bool | _LockLike = True, ctx: BaseContext | None = None ) -> Any: ... @overload def Array( typecode_or_type: type[_CT], size_or_initializer: int | Sequence[Any], *, lock: Literal[False], ctx: BaseContext | None = None ) -> _CT: ... @overload def Array( typecode_or_type: type[c_char], size_or_initializer: int | Sequence[Any], *, lock: Literal[True] | _LockLike = True, ctx: BaseContext | None = None, ) -> SynchronizedString: ... @overload def Array( typecode_or_type: type[_SimpleCData[_T]], size_or_initializer: int | Sequence[Any], *, lock: Literal[True] | _LockLike = True, ctx: BaseContext | None = None, ) -> SynchronizedArray[_T]: ... @overload def Array( typecode_or_type: str, size_or_initializer: int | Sequence[Any], *, lock: Literal[True] | _LockLike = True, ctx: BaseContext | None = None, ) -> SynchronizedArray[Any]: ... @overload def Array( typecode_or_type: str | type[_CData], size_or_initializer: int | Sequence[Any], *, lock: bool | _LockLike = True, ctx: BaseContext | None = None, ) -> Any: ... def copy(obj: _CT) -> _CT: ... @overload def synchronized(obj: _SimpleCData[_T], lock: _LockLike | None = None, ctx: Any | None = None) -> Synchronized[_T]: ... @overload def synchronized(obj: ctypes.Array[c_char], lock: _LockLike | None = None, ctx: Any | None = None) -> SynchronizedString: ... @overload def synchronized( obj: ctypes.Array[_SimpleCData[_T]], lock: _LockLike | None = None, ctx: Any | None = None ) -> SynchronizedArray[_T]: ... @overload def synchronized(obj: _CT, lock: _LockLike | None = None, ctx: Any | None = None) -> SynchronizedBase[_CT]: ... @type_check_only class _AcquireFunc(Protocol): def __call__(self, block: bool = ..., timeout: float | None = ..., /) -> bool: ... class SynchronizedBase(Generic[_CT]): acquire: _AcquireFunc release: Callable[[], None] def __init__(self, obj: Any, lock: _LockLike | None = None, ctx: Any | None = None) -> None: ... def __reduce__(self) -> tuple[Callable[[Any, _LockLike], SynchronizedBase[Any]], tuple[Any, _LockLike]]: ... def get_obj(self) -> _CT: ... def get_lock(self) -> _LockLike: ... def __enter__(self) -> bool: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None, / ) -> None: ... class Synchronized(SynchronizedBase[_SimpleCData[_T]], Generic[_T]): value: _T class SynchronizedArray(SynchronizedBase[ctypes.Array[_SimpleCData[_T]]], Generic[_T]): def __len__(self) -> int: ... @overload def __getitem__(self, i: slice) -> list[_T]: ... @overload def __getitem__(self, i: int) -> _T: ... @overload def __setitem__(self, i: slice, value: Iterable[_T]) -> None: ... @overload def __setitem__(self, i: int, value: _T) -> None: ... def __getslice__(self, start: int, stop: int) -> list[_T]: ... def __setslice__(self, start: int, stop: int, values: Iterable[_T]) -> None: ... class SynchronizedString(SynchronizedArray[bytes]): @overload # type: ignore[override] def __getitem__(self, i: slice) -> bytes: ... @overload def __getitem__(self, i: int) -> bytes: ... @overload # type: ignore[override] def __setitem__(self, i: slice, value: bytes) -> None: ... @overload def __setitem__(self, i: int, value: bytes) -> None: ... def __getslice__(self, start: int, stop: int) -> bytes: ... # type: ignore[override] def __setslice__(self, start: int, stop: int, values: bytes) -> None: ... # type: ignore[override] value: bytes raw: bytes ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/spawn.pyi0000644000175100017510000000161015112307767023463 0ustar00runnerrunnerfrom collections.abc import Mapping, Sequence from types import ModuleType from typing import Any, Final __all__ = [ "_main", "freeze_support", "set_executable", "get_executable", "get_preparation_data", "get_command_line", "import_main_path", ] WINEXE: Final[bool] WINSERVICE: Final[bool] def set_executable(exe: str) -> None: ... def get_executable() -> str: ... def is_forking(argv: Sequence[str]) -> bool: ... def freeze_support() -> None: ... def get_command_line(**kwds: Any) -> list[str]: ... def spawn_main(pipe_handle: int, parent_pid: int | None = None, tracker_fd: int | None = None) -> None: ... # undocumented def _main(fd: int, parent_sentinel: int) -> int: ... def get_preparation_data(name: str) -> dict[str, Any]: ... old_main_modules: list[ModuleType] def prepare(data: Mapping[str, Any]) -> None: ... def import_main_path(main_path: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/synchronize.pyi0000644000175100017510000000461015112307767024711 0ustar00runnerrunnerimport threading from collections.abc import Callable from multiprocessing.context import BaseContext from types import TracebackType from typing_extensions import TypeAlias __all__ = ["Lock", "RLock", "Semaphore", "BoundedSemaphore", "Condition", "Event"] _LockLike: TypeAlias = Lock | RLock class Barrier(threading.Barrier): def __init__( self, parties: int, action: Callable[[], object] | None = None, timeout: float | None = None, *, ctx: BaseContext ) -> None: ... class Condition: def __init__(self, lock: _LockLike | None = None, *, ctx: BaseContext) -> None: ... def notify(self, n: int = 1) -> None: ... def notify_all(self) -> None: ... def wait(self, timeout: float | None = None) -> bool: ... def wait_for(self, predicate: Callable[[], bool], timeout: float | None = None) -> bool: ... def __enter__(self) -> bool: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None, / ) -> None: ... # These methods are copied from the lock passed to the constructor, or an # instance of ctx.RLock() if lock was None. def acquire(self, block: bool = True, timeout: float | None = None) -> bool: ... def release(self) -> None: ... class Event: def __init__(self, *, ctx: BaseContext) -> None: ... def is_set(self) -> bool: ... def set(self) -> None: ... def clear(self) -> None: ... def wait(self, timeout: float | None = None) -> bool: ... # Not part of public API class SemLock: def __init__(self, kind: int, value: int, maxvalue: int, *, ctx: BaseContext | None) -> None: ... def __enter__(self) -> bool: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None, / ) -> None: ... # These methods are copied from the wrapped _multiprocessing.SemLock object def acquire(self, block: bool = True, timeout: float | None = None) -> bool: ... def release(self) -> None: ... class Lock(SemLock): def __init__(self, *, ctx: BaseContext) -> None: ... class RLock(SemLock): def __init__(self, *, ctx: BaseContext) -> None: ... class Semaphore(SemLock): def __init__(self, value: int = 1, *, ctx: BaseContext) -> None: ... def get_value(self) -> int: ... class BoundedSemaphore(Semaphore): def __init__(self, value: int = 1, *, ctx: BaseContext) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/multiprocessing/util.pyi0000644000175100017510000000602215112307767023312 0ustar00runnerrunnerimport sys import threading from _typeshed import ConvertibleToInt, Incomplete, Unused from collections.abc import Callable, Iterable, Mapping, MutableMapping, Sequence from logging import Logger, _Level as _LoggingLevel from typing import Any, Final, Generic, TypeVar, overload __all__ = [ "sub_debug", "debug", "info", "sub_warning", "get_logger", "log_to_stderr", "get_temp_dir", "register_after_fork", "is_exiting", "Finalize", "ForkAwareThreadLock", "ForkAwareLocal", "close_all_fds_except", "SUBDEBUG", "SUBWARNING", ] if sys.version_info >= (3, 14): __all__ += ["warn"] _T = TypeVar("_T") _R_co = TypeVar("_R_co", default=Any, covariant=True) NOTSET: Final = 0 SUBDEBUG: Final = 5 DEBUG: Final = 10 INFO: Final = 20 SUBWARNING: Final = 25 if sys.version_info >= (3, 14): WARNING: Final = 30 LOGGER_NAME: Final[str] DEFAULT_LOGGING_FORMAT: Final[str] def sub_debug(msg: object, *args: object) -> None: ... def debug(msg: object, *args: object) -> None: ... def info(msg: object, *args: object) -> None: ... if sys.version_info >= (3, 14): def warn(msg: object, *args: object) -> None: ... def sub_warning(msg: object, *args: object) -> None: ... def get_logger() -> Logger: ... def log_to_stderr(level: _LoggingLevel | None = None) -> Logger: ... def is_abstract_socket_namespace(address: str | bytes | None) -> bool: ... abstract_sockets_supported: Final[bool] def get_temp_dir() -> str: ... def register_after_fork(obj: _T, func: Callable[[_T], object]) -> None: ... class Finalize(Generic[_R_co]): # "args" and "kwargs" are passed as arguments to "callback". @overload def __init__( self, obj: None, callback: Callable[..., _R_co], *, args: Sequence[Any] = (), kwargs: Mapping[str, Any] | None = None, exitpriority: int, ) -> None: ... @overload def __init__( self, obj: None, callback: Callable[..., _R_co], args: Sequence[Any], kwargs: Mapping[str, Any] | None, exitpriority: int ) -> None: ... @overload def __init__( self, obj: Any, callback: Callable[..., _R_co], args: Sequence[Any] = (), kwargs: Mapping[str, Any] | None = None, exitpriority: int | None = None, ) -> None: ... def __call__( self, wr: Unused = None, _finalizer_registry: MutableMapping[Incomplete, Incomplete] = {}, sub_debug: Callable[..., object] = ..., getpid: Callable[[], int] = ..., ) -> _R_co: ... def cancel(self) -> None: ... def still_active(self) -> bool: ... def is_exiting() -> bool: ... class ForkAwareThreadLock: acquire: Callable[[bool, float], bool] release: Callable[[], None] def __enter__(self) -> bool: ... def __exit__(self, *args: Unused) -> None: ... class ForkAwareLocal(threading.local): ... MAXFD: Final[int] def close_all_fds_except(fds: Iterable[int]) -> None: ... def spawnv_passfds(path: bytes, args: Sequence[ConvertibleToInt], passfds: Sequence[int]) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/netrc.pyi0000644000175100017510000000135115112307767020221 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from typing_extensions import TypeAlias __all__ = ["netrc", "NetrcParseError"] class NetrcParseError(Exception): filename: str | None lineno: int | None msg: str def __init__(self, msg: str, filename: StrOrBytesPath | None = None, lineno: int | None = None) -> None: ... # (login, account, password) tuple if sys.version_info >= (3, 11): _NetrcTuple: TypeAlias = tuple[str, str, str] else: _NetrcTuple: TypeAlias = tuple[str, str | None, str | None] class netrc: hosts: dict[str, _NetrcTuple] macros: dict[str, list[str]] def __init__(self, file: StrOrBytesPath | None = None) -> None: ... def authenticators(self, host: str) -> _NetrcTuple | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/nis.pyi0000644000175100017510000000044515112307767017702 0ustar00runnerrunnerimport sys if sys.platform != "win32": def cat(map: str, domain: str = ...) -> dict[str, str]: ... def get_default_domain() -> str: ... def maps(domain: str = ...) -> list[str]: ... def match(key: str, map: str, domain: str = ...) -> str: ... class error(Exception): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/nntplib.pyi0000644000175100017510000001026715112307767020562 0ustar00runnerrunnerimport datetime import socket import ssl from _typeshed import Unused from builtins import list as _list # conflicts with a method named "list" from collections.abc import Iterable from typing import IO, Any, Final, NamedTuple from typing_extensions import Self, TypeAlias __all__ = [ "NNTP", "NNTPError", "NNTPReplyError", "NNTPTemporaryError", "NNTPPermanentError", "NNTPProtocolError", "NNTPDataError", "decode_header", "NNTP_SSL", ] _File: TypeAlias = IO[bytes] | bytes | str | None class NNTPError(Exception): response: str class NNTPReplyError(NNTPError): ... class NNTPTemporaryError(NNTPError): ... class NNTPPermanentError(NNTPError): ... class NNTPProtocolError(NNTPError): ... class NNTPDataError(NNTPError): ... NNTP_PORT: Final = 119 NNTP_SSL_PORT: Final = 563 class GroupInfo(NamedTuple): group: str last: str first: str flag: str class ArticleInfo(NamedTuple): number: int message_id: str lines: list[bytes] def decode_header(header_str: str) -> str: ... class NNTP: encoding: str errors: str host: str port: int sock: socket.socket file: IO[bytes] debugging: int welcome: str readermode_afterauth: bool tls_on: bool authenticated: bool nntp_implementation: str nntp_version: int def __init__( self, host: str, port: int = 119, user: str | None = None, password: str | None = None, readermode: bool | None = None, usenetrc: bool = False, timeout: float = ..., ) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def getwelcome(self) -> str: ... def getcapabilities(self) -> dict[str, _list[str]]: ... def set_debuglevel(self, level: int) -> None: ... def debug(self, level: int) -> None: ... def capabilities(self) -> tuple[str, dict[str, _list[str]]]: ... def newgroups(self, date: datetime.date | datetime.datetime, *, file: _File = None) -> tuple[str, _list[str]]: ... def newnews(self, group: str, date: datetime.date | datetime.datetime, *, file: _File = None) -> tuple[str, _list[str]]: ... def list(self, group_pattern: str | None = None, *, file: _File = None) -> tuple[str, _list[str]]: ... def description(self, group: str) -> str: ... def descriptions(self, group_pattern: str) -> tuple[str, dict[str, str]]: ... def group(self, name: str) -> tuple[str, int, int, int, str]: ... def help(self, *, file: _File = None) -> tuple[str, _list[str]]: ... def stat(self, message_spec: Any = None) -> tuple[str, int, str]: ... def next(self) -> tuple[str, int, str]: ... def last(self) -> tuple[str, int, str]: ... def head(self, message_spec: Any = None, *, file: _File = None) -> tuple[str, ArticleInfo]: ... def body(self, message_spec: Any = None, *, file: _File = None) -> tuple[str, ArticleInfo]: ... def article(self, message_spec: Any = None, *, file: _File = None) -> tuple[str, ArticleInfo]: ... def slave(self) -> str: ... def xhdr(self, hdr: str, str: Any, *, file: _File = None) -> tuple[str, _list[str]]: ... def xover(self, start: int, end: int, *, file: _File = None) -> tuple[str, _list[tuple[int, dict[str, str]]]]: ... def over( self, message_spec: None | str | _list[Any] | tuple[Any, ...], *, file: _File = None ) -> tuple[str, _list[tuple[int, dict[str, str]]]]: ... def date(self) -> tuple[str, datetime.datetime]: ... def post(self, data: bytes | Iterable[bytes]) -> str: ... def ihave(self, message_id: Any, data: bytes | Iterable[bytes]) -> str: ... def quit(self) -> str: ... def login(self, user: str | None = None, password: str | None = None, usenetrc: bool = True) -> None: ... def starttls(self, context: ssl.SSLContext | None = None) -> None: ... class NNTP_SSL(NNTP): ssl_context: ssl.SSLContext | None sock: ssl.SSLSocket def __init__( self, host: str, port: int = 563, user: str | None = None, password: str | None = None, ssl_context: ssl.SSLContext | None = None, readermode: bool | None = None, usenetrc: bool = False, timeout: float = ..., ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/nt.pyi0000644000175100017510000000651715112307767017540 0ustar00runnerrunnerimport sys if sys.platform == "win32": # Actually defined here and re-exported from os at runtime, # but this leads to less code duplication from os import ( F_OK as F_OK, O_APPEND as O_APPEND, O_BINARY as O_BINARY, O_CREAT as O_CREAT, O_EXCL as O_EXCL, O_NOINHERIT as O_NOINHERIT, O_RANDOM as O_RANDOM, O_RDONLY as O_RDONLY, O_RDWR as O_RDWR, O_SEQUENTIAL as O_SEQUENTIAL, O_SHORT_LIVED as O_SHORT_LIVED, O_TEMPORARY as O_TEMPORARY, O_TEXT as O_TEXT, O_TRUNC as O_TRUNC, O_WRONLY as O_WRONLY, P_DETACH as P_DETACH, P_NOWAIT as P_NOWAIT, P_NOWAITO as P_NOWAITO, P_OVERLAY as P_OVERLAY, P_WAIT as P_WAIT, R_OK as R_OK, TMP_MAX as TMP_MAX, W_OK as W_OK, X_OK as X_OK, DirEntry as DirEntry, abort as abort, access as access, chdir as chdir, chmod as chmod, close as close, closerange as closerange, cpu_count as cpu_count, device_encoding as device_encoding, dup as dup, dup2 as dup2, error as error, execv as execv, execve as execve, fspath as fspath, fstat as fstat, fsync as fsync, ftruncate as ftruncate, get_handle_inheritable as get_handle_inheritable, get_inheritable as get_inheritable, get_terminal_size as get_terminal_size, getcwd as getcwd, getcwdb as getcwdb, getlogin as getlogin, getpid as getpid, getppid as getppid, isatty as isatty, kill as kill, link as link, listdir as listdir, lseek as lseek, lstat as lstat, mkdir as mkdir, open as open, pipe as pipe, putenv as putenv, read as read, readlink as readlink, remove as remove, rename as rename, replace as replace, rmdir as rmdir, scandir as scandir, set_handle_inheritable as set_handle_inheritable, set_inheritable as set_inheritable, spawnv as spawnv, spawnve as spawnve, startfile as startfile, stat as stat, stat_result as stat_result, statvfs_result as statvfs_result, strerror as strerror, symlink as symlink, system as system, terminal_size as terminal_size, times as times, times_result as times_result, truncate as truncate, umask as umask, uname_result as uname_result, unlink as unlink, unsetenv as unsetenv, urandom as urandom, utime as utime, waitpid as waitpid, waitstatus_to_exitcode as waitstatus_to_exitcode, write as write, ) if sys.version_info >= (3, 11): from os import EX_OK as EX_OK if sys.version_info >= (3, 12): from os import ( get_blocking as get_blocking, listdrives as listdrives, listmounts as listmounts, listvolumes as listvolumes, set_blocking as set_blocking, ) if sys.version_info >= (3, 13): from os import fchmod as fchmod, lchmod as lchmod if sys.version_info >= (3, 14): from os import readinto as readinto environ: dict[str, str] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ntpath.pyi0000644000175100017510000000575115112307767020414 0ustar00runnerrunnerimport sys from _typeshed import BytesPath, StrOrBytesPath, StrPath from genericpath import ( ALLOW_MISSING as ALLOW_MISSING, _AllowMissingType, commonprefix as commonprefix, exists as exists, getatime as getatime, getctime as getctime, getmtime as getmtime, getsize as getsize, isdir as isdir, isfile as isfile, samefile as samefile, sameopenfile as sameopenfile, samestat as samestat, ) from os import PathLike # Re-export common definitions from posixpath to reduce duplication from posixpath import ( abspath as abspath, basename as basename, commonpath as commonpath, curdir as curdir, defpath as defpath, devnull as devnull, dirname as dirname, expanduser as expanduser, expandvars as expandvars, extsep as extsep, isabs as isabs, islink as islink, ismount as ismount, lexists as lexists, normcase as normcase, normpath as normpath, pardir as pardir, pathsep as pathsep, relpath as relpath, sep as sep, split as split, splitdrive as splitdrive, splitext as splitext, supports_unicode_filenames as supports_unicode_filenames, ) from typing import AnyStr, overload from typing_extensions import LiteralString if sys.version_info >= (3, 12): from posixpath import isjunction as isjunction, splitroot as splitroot if sys.version_info >= (3, 13): from genericpath import isdevdrive as isdevdrive __all__ = [ "normcase", "isabs", "join", "splitdrive", "split", "splitext", "basename", "dirname", "commonprefix", "getsize", "getmtime", "getatime", "getctime", "islink", "exists", "lexists", "isdir", "isfile", "ismount", "expanduser", "expandvars", "normpath", "abspath", "curdir", "pardir", "sep", "pathsep", "defpath", "altsep", "extsep", "devnull", "realpath", "supports_unicode_filenames", "relpath", "samefile", "sameopenfile", "samestat", "commonpath", "ALLOW_MISSING", ] if sys.version_info >= (3, 12): __all__ += ["isjunction", "splitroot"] if sys.version_info >= (3, 13): __all__ += ["isdevdrive", "isreserved"] altsep: LiteralString # First parameter is not actually pos-only, # but must be defined as pos-only in the stub or cross-platform code doesn't type-check, # as the parameter name is different in posixpath.join() @overload def join(path: LiteralString, /, *paths: LiteralString) -> LiteralString: ... @overload def join(path: StrPath, /, *paths: StrPath) -> str: ... @overload def join(path: BytesPath, /, *paths: BytesPath) -> bytes: ... if sys.platform == "win32": @overload def realpath(path: PathLike[AnyStr], *, strict: bool | _AllowMissingType = False) -> AnyStr: ... @overload def realpath(path: AnyStr, *, strict: bool | _AllowMissingType = False) -> AnyStr: ... else: realpath = abspath if sys.version_info >= (3, 13): def isreserved(path: StrOrBytesPath) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/nturl2path.pyi0000644000175100017510000000063415112307767021214 0ustar00runnerrunnerimport sys from typing_extensions import deprecated if sys.version_info >= (3, 14): @deprecated("The `nturl2path` module is deprecated since Python 3.14.") def url2pathname(url: str) -> str: ... @deprecated("The `nturl2path` module is deprecated since Python 3.14.") def pathname2url(p: str) -> str: ... else: def url2pathname(url: str) -> str: ... def pathname2url(p: str) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/numbers.pyi0000644000175100017510000001657215112307767020574 0ustar00runnerrunner# Note: these stubs are incomplete. The more complex type # signatures are currently omitted. # # Use _ComplexLike, _RealLike and _IntegralLike for return types in this module # rather than `numbers.Complex`, `numbers.Real` and `numbers.Integral`, # to avoid an excessive number of `type: ignore`s in subclasses of these ABCs # (since type checkers don't see `complex` as a subtype of `numbers.Complex`, # nor `float` as a subtype of `numbers.Real`, etc.) from abc import ABCMeta, abstractmethod from typing import ClassVar, Literal, Protocol, overload, type_check_only __all__ = ["Number", "Complex", "Real", "Rational", "Integral"] ############################ # Protocols for return types ############################ # `_ComplexLike` is a structural-typing approximation # of the `Complex` ABC, which is not (and cannot be) a protocol # # NOTE: We can't include `__complex__` here, # as we want `int` to be seen as a subtype of `_ComplexLike`, # and `int.__complex__` does not exist :( @type_check_only class _ComplexLike(Protocol): def __neg__(self) -> _ComplexLike: ... def __pos__(self) -> _ComplexLike: ... def __abs__(self) -> _RealLike: ... # _RealLike is a structural-typing approximation # of the `Real` ABC, which is not (and cannot be) a protocol @type_check_only class _RealLike(_ComplexLike, Protocol): def __trunc__(self) -> _IntegralLike: ... def __floor__(self) -> _IntegralLike: ... def __ceil__(self) -> _IntegralLike: ... def __float__(self) -> float: ... # Overridden from `_ComplexLike` # for a more precise return type: def __neg__(self) -> _RealLike: ... def __pos__(self) -> _RealLike: ... # _IntegralLike is a structural-typing approximation # of the `Integral` ABC, which is not (and cannot be) a protocol @type_check_only class _IntegralLike(_RealLike, Protocol): def __invert__(self) -> _IntegralLike: ... def __int__(self) -> int: ... def __index__(self) -> int: ... # Overridden from `_ComplexLike` # for a more precise return type: def __abs__(self) -> _IntegralLike: ... # Overridden from `RealLike` # for a more precise return type: def __neg__(self) -> _IntegralLike: ... def __pos__(self) -> _IntegralLike: ... ################# # Module "proper" ################# class Number(metaclass=ABCMeta): __slots__ = () @abstractmethod def __hash__(self) -> int: ... # See comment at the top of the file # for why some of these return types are purposefully vague class Complex(Number, _ComplexLike): __slots__ = () @abstractmethod def __complex__(self) -> complex: ... def __bool__(self) -> bool: ... @property @abstractmethod def real(self) -> _RealLike: ... @property @abstractmethod def imag(self) -> _RealLike: ... @abstractmethod def __add__(self, other) -> _ComplexLike: ... @abstractmethod def __radd__(self, other) -> _ComplexLike: ... @abstractmethod def __neg__(self) -> _ComplexLike: ... @abstractmethod def __pos__(self) -> _ComplexLike: ... def __sub__(self, other) -> _ComplexLike: ... def __rsub__(self, other) -> _ComplexLike: ... @abstractmethod def __mul__(self, other) -> _ComplexLike: ... @abstractmethod def __rmul__(self, other) -> _ComplexLike: ... @abstractmethod def __truediv__(self, other) -> _ComplexLike: ... @abstractmethod def __rtruediv__(self, other) -> _ComplexLike: ... @abstractmethod def __pow__(self, exponent) -> _ComplexLike: ... @abstractmethod def __rpow__(self, base) -> _ComplexLike: ... @abstractmethod def __abs__(self) -> _RealLike: ... @abstractmethod def conjugate(self) -> _ComplexLike: ... @abstractmethod def __eq__(self, other: object) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] # See comment at the top of the file # for why some of these return types are purposefully vague class Real(Complex, _RealLike): __slots__ = () @abstractmethod def __float__(self) -> float: ... @abstractmethod def __trunc__(self) -> _IntegralLike: ... @abstractmethod def __floor__(self) -> _IntegralLike: ... @abstractmethod def __ceil__(self) -> _IntegralLike: ... @abstractmethod @overload def __round__(self, ndigits: None = None) -> _IntegralLike: ... @abstractmethod @overload def __round__(self, ndigits: int) -> _RealLike: ... def __divmod__(self, other) -> tuple[_RealLike, _RealLike]: ... def __rdivmod__(self, other) -> tuple[_RealLike, _RealLike]: ... @abstractmethod def __floordiv__(self, other) -> _RealLike: ... @abstractmethod def __rfloordiv__(self, other) -> _RealLike: ... @abstractmethod def __mod__(self, other) -> _RealLike: ... @abstractmethod def __rmod__(self, other) -> _RealLike: ... @abstractmethod def __lt__(self, other) -> bool: ... @abstractmethod def __le__(self, other) -> bool: ... def __complex__(self) -> complex: ... @property def real(self) -> _RealLike: ... @property def imag(self) -> Literal[0]: ... def conjugate(self) -> _RealLike: ... # Not actually overridden at runtime, # but we override these in the stub to give them more precise return types: @abstractmethod def __pos__(self) -> _RealLike: ... @abstractmethod def __neg__(self) -> _RealLike: ... # See comment at the top of the file # for why some of these return types are purposefully vague class Rational(Real): __slots__ = () @property @abstractmethod def numerator(self) -> _IntegralLike: ... @property @abstractmethod def denominator(self) -> _IntegralLike: ... def __float__(self) -> float: ... # See comment at the top of the file # for why some of these return types are purposefully vague class Integral(Rational, _IntegralLike): __slots__ = () @abstractmethod def __int__(self) -> int: ... def __index__(self) -> int: ... @abstractmethod def __pow__(self, exponent, modulus=None) -> _IntegralLike: ... @abstractmethod def __lshift__(self, other) -> _IntegralLike: ... @abstractmethod def __rlshift__(self, other) -> _IntegralLike: ... @abstractmethod def __rshift__(self, other) -> _IntegralLike: ... @abstractmethod def __rrshift__(self, other) -> _IntegralLike: ... @abstractmethod def __and__(self, other) -> _IntegralLike: ... @abstractmethod def __rand__(self, other) -> _IntegralLike: ... @abstractmethod def __xor__(self, other) -> _IntegralLike: ... @abstractmethod def __rxor__(self, other) -> _IntegralLike: ... @abstractmethod def __or__(self, other) -> _IntegralLike: ... @abstractmethod def __ror__(self, other) -> _IntegralLike: ... @abstractmethod def __invert__(self) -> _IntegralLike: ... def __float__(self) -> float: ... @property def numerator(self) -> _IntegralLike: ... @property def denominator(self) -> Literal[1]: ... # Not actually overridden at runtime, # but we override these in the stub to give them more precise return types: @abstractmethod def __pos__(self) -> _IntegralLike: ... @abstractmethod def __neg__(self) -> _IntegralLike: ... @abstractmethod def __abs__(self) -> _IntegralLike: ... @abstractmethod @overload def __round__(self, ndigits: None = None) -> _IntegralLike: ... @abstractmethod @overload def __round__(self, ndigits: int) -> _IntegralLike: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/opcode.pyi0000644000175100017510000000213715112307767020362 0ustar00runnerrunnerimport sys from typing import Final, Literal __all__ = [ "cmp_op", "hasconst", "hasname", "hasjrel", "hasjabs", "haslocal", "hascompare", "hasfree", "opname", "opmap", "HAVE_ARGUMENT", "EXTENDED_ARG", "stack_effect", ] if sys.version_info >= (3, 12): __all__ += ["hasarg", "hasexc"] else: __all__ += ["hasnargs"] if sys.version_info >= (3, 13): __all__ += ["hasjump"] cmp_op: tuple[Literal["<"], Literal["<="], Literal["=="], Literal["!="], Literal[">"], Literal[">="]] hasconst: Final[list[int]] hasname: Final[list[int]] hasjrel: Final[list[int]] hasjabs: Final[list[int]] haslocal: Final[list[int]] hascompare: Final[list[int]] hasfree: Final[list[int]] if sys.version_info >= (3, 12): hasarg: Final[list[int]] hasexc: Final[list[int]] else: hasnargs: Final[list[int]] if sys.version_info >= (3, 13): hasjump: Final[list[int]] opname: Final[list[str]] opmap: Final[dict[str, int]] HAVE_ARGUMENT: Final = 43 EXTENDED_ARG: Final = 69 def stack_effect(opcode: int, oparg: int | None = None, /, *, jump: bool | None = None) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/operator.pyi0000644000175100017510000001147715112307767020753 0ustar00runnerrunnerimport sys from _operator import ( abs as abs, add as add, and_ as and_, concat as concat, contains as contains, countOf as countOf, delitem as delitem, eq as eq, floordiv as floordiv, ge as ge, getitem as getitem, gt as gt, iadd as iadd, iand as iand, iconcat as iconcat, ifloordiv as ifloordiv, ilshift as ilshift, imatmul as imatmul, imod as imod, imul as imul, index as index, indexOf as indexOf, inv as inv, invert as invert, ior as ior, ipow as ipow, irshift as irshift, is_ as is_, is_not as is_not, isub as isub, itruediv as itruediv, ixor as ixor, le as le, length_hint as length_hint, lshift as lshift, lt as lt, matmul as matmul, mod as mod, mul as mul, ne as ne, neg as neg, not_ as not_, or_ as or_, pos as pos, pow as pow, rshift as rshift, setitem as setitem, sub as sub, truediv as truediv, truth as truth, xor as xor, ) from _typeshed import SupportsGetItem from typing import Any, Generic, TypeVar, final, overload from typing_extensions import Self, TypeVarTuple, Unpack _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _Ts = TypeVarTuple("_Ts") __all__ = [ "abs", "add", "and_", "attrgetter", "concat", "contains", "countOf", "delitem", "eq", "floordiv", "ge", "getitem", "gt", "iadd", "iand", "iconcat", "ifloordiv", "ilshift", "imatmul", "imod", "imul", "index", "indexOf", "inv", "invert", "ior", "ipow", "irshift", "is_", "is_not", "isub", "itemgetter", "itruediv", "ixor", "le", "length_hint", "lshift", "lt", "matmul", "methodcaller", "mod", "mul", "ne", "neg", "not_", "or_", "pos", "pow", "rshift", "setitem", "sub", "truediv", "truth", "xor", ] if sys.version_info >= (3, 11): from _operator import call as call __all__ += ["call"] if sys.version_info >= (3, 14): from _operator import is_none as is_none, is_not_none as is_not_none __all__ += ["is_none", "is_not_none"] __lt__ = lt __le__ = le __eq__ = eq __ne__ = ne __ge__ = ge __gt__ = gt __not__ = not_ __abs__ = abs __add__ = add __and__ = and_ __floordiv__ = floordiv __index__ = index __inv__ = inv __invert__ = invert __lshift__ = lshift __mod__ = mod __mul__ = mul __matmul__ = matmul __neg__ = neg __or__ = or_ __pos__ = pos __pow__ = pow __rshift__ = rshift __sub__ = sub __truediv__ = truediv __xor__ = xor __concat__ = concat __contains__ = contains __delitem__ = delitem __getitem__ = getitem __setitem__ = setitem __iadd__ = iadd __iand__ = iand __iconcat__ = iconcat __ifloordiv__ = ifloordiv __ilshift__ = ilshift __imod__ = imod __imul__ = imul __imatmul__ = imatmul __ior__ = ior __ipow__ = ipow __irshift__ = irshift __isub__ = isub __itruediv__ = itruediv __ixor__ = ixor if sys.version_info >= (3, 11): __call__ = call # At runtime, these classes are implemented in C as part of the _operator module # However, they consider themselves to live in the operator module, so we'll put # them here. @final class attrgetter(Generic[_T_co]): @overload def __new__(cls, attr: str, /) -> attrgetter[Any]: ... @overload def __new__(cls, attr: str, attr2: str, /) -> attrgetter[tuple[Any, Any]]: ... @overload def __new__(cls, attr: str, attr2: str, attr3: str, /) -> attrgetter[tuple[Any, Any, Any]]: ... @overload def __new__(cls, attr: str, attr2: str, attr3: str, attr4: str, /) -> attrgetter[tuple[Any, Any, Any, Any]]: ... @overload def __new__(cls, attr: str, /, *attrs: str) -> attrgetter[tuple[Any, ...]]: ... def __call__(self, obj: Any, /) -> _T_co: ... @final class itemgetter(Generic[_T_co]): @overload def __new__(cls, item: _T, /) -> itemgetter[_T]: ... @overload def __new__(cls, item1: _T1, item2: _T2, /, *items: Unpack[_Ts]) -> itemgetter[tuple[_T1, _T2, Unpack[_Ts]]]: ... # __key: _KT_contra in SupportsGetItem seems to be causing variance issues, ie: # TypeVar "_KT_contra@SupportsGetItem" is contravariant # "tuple[int, int]" is incompatible with protocol "SupportsIndex" # preventing [_T_co, ...] instead of [Any, ...] # # If we can't infer a literal key from __new__ (ie: `itemgetter[Literal[0]]` for `itemgetter(0)`), # then we can't annotate __call__'s return type or it'll break on tuples # # These issues are best demonstrated by the `itertools.check_itertools_recipes.unique_justseen` test. def __call__(self, obj: SupportsGetItem[Any, Any]) -> Any: ... @final class methodcaller: def __new__(cls, name: str, /, *args: Any, **kwargs: Any) -> Self: ... def __call__(self, obj: Any) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/optparse.pyi0000644000175100017510000003160215112307767020745 0ustar00runnerrunnerimport builtins from _typeshed import MaybeNone, SupportsWrite from abc import abstractmethod from collections.abc import Callable, Iterable, Mapping, Sequence from typing import Any, ClassVar, Final, Literal, NoReturn, overload from typing_extensions import Self __all__ = [ "Option", "make_option", "SUPPRESS_HELP", "SUPPRESS_USAGE", "Values", "OptionContainer", "OptionGroup", "OptionParser", "HelpFormatter", "IndentedHelpFormatter", "TitledHelpFormatter", "OptParseError", "OptionError", "OptionConflictError", "OptionValueError", "BadOptionError", "check_choice", ] NO_DEFAULT: Final = ("NO", "DEFAULT") SUPPRESS_HELP: Final = "SUPPRESSHELP" SUPPRESS_USAGE: Final = "SUPPRESSUSAGE" # Can return complex, float, or int depending on the option's type def check_builtin(option: Option, opt: str, value: str) -> complex: ... def check_choice(option: Option, opt: str, value: str) -> str: ... class OptParseError(Exception): msg: str def __init__(self, msg: str) -> None: ... class BadOptionError(OptParseError): opt_str: str def __init__(self, opt_str: str) -> None: ... class AmbiguousOptionError(BadOptionError): possibilities: Iterable[str] def __init__(self, opt_str: str, possibilities: Sequence[str]) -> None: ... class OptionError(OptParseError): option_id: str def __init__(self, msg: str, option: Option) -> None: ... class OptionConflictError(OptionError): ... class OptionValueError(OptParseError): ... class HelpFormatter: NO_DEFAULT_VALUE: str _long_opt_fmt: str _short_opt_fmt: str current_indent: int default_tag: str help_position: int help_width: int | MaybeNone # initialized as None and computed later as int when storing option strings indent_increment: int level: int max_help_position: int option_strings: dict[Option, str] parser: OptionParser short_first: bool | Literal[0, 1] width: int def __init__( self, indent_increment: int, max_help_position: int, width: int | None, short_first: bool | Literal[0, 1] ) -> None: ... def dedent(self) -> None: ... def expand_default(self, option: Option) -> str: ... def format_description(self, description: str | None) -> str: ... def format_epilog(self, epilog: str | None) -> str: ... @abstractmethod def format_heading(self, heading: str) -> str: ... def format_option(self, option: Option) -> str: ... def format_option_strings(self, option: Option) -> str: ... @abstractmethod def format_usage(self, usage: str) -> str: ... def indent(self) -> None: ... def set_long_opt_delimiter(self, delim: str) -> None: ... def set_parser(self, parser: OptionParser) -> None: ... def set_short_opt_delimiter(self, delim: str) -> None: ... def store_option_strings(self, parser: OptionParser) -> None: ... class IndentedHelpFormatter(HelpFormatter): def __init__( self, indent_increment: int = 2, max_help_position: int = 24, width: int | None = None, short_first: bool | Literal[0, 1] = 1, ) -> None: ... def format_heading(self, heading: str) -> str: ... def format_usage(self, usage: str) -> str: ... class TitledHelpFormatter(HelpFormatter): def __init__( self, indent_increment: int = 0, max_help_position: int = 24, width: int | None = None, short_first: bool | Literal[0, 1] = 0, ) -> None: ... def format_heading(self, heading: str) -> str: ... def format_usage(self, usage: str) -> str: ... class Option: ACTIONS: tuple[str, ...] ALWAYS_TYPED_ACTIONS: tuple[str, ...] ATTRS: list[str] CHECK_METHODS: list[Callable[[Self], object]] | None CONST_ACTIONS: tuple[str, ...] STORE_ACTIONS: tuple[str, ...] TYPED_ACTIONS: tuple[str, ...] TYPES: tuple[str, ...] TYPE_CHECKER: dict[str, Callable[[Option, str, str], object]] _long_opts: list[str] _short_opts: list[str] action: str type: str | None dest: str | None default: Any # default can be "any" type nargs: int const: Any | None # const can be "any" type choices: list[str] | tuple[str, ...] | None # Callback args and kwargs cannot be expressed in Python's type system. # Revisit if ParamSpec is ever changed to work with packed args/kwargs. callback: Callable[..., object] | None callback_args: tuple[Any, ...] | None callback_kwargs: dict[str, Any] | None help: str | None metavar: str | None def __init__( self, *opts: str | None, # The following keywords are handled by the _set_attrs method. All default to # `None` except for `default`, which defaults to `NO_DEFAULT`. action: str | None = None, type: str | builtins.type | None = None, dest: str | None = None, default: Any = ..., # = NO_DEFAULT nargs: int | None = None, const: Any | None = None, choices: list[str] | tuple[str, ...] | None = None, callback: Callable[..., object] | None = None, callback_args: tuple[Any, ...] | None = None, callback_kwargs: dict[str, Any] | None = None, help: str | None = None, metavar: str | None = None, ) -> None: ... def _check_action(self) -> None: ... def _check_callback(self) -> None: ... def _check_choice(self) -> None: ... def _check_const(self) -> None: ... def _check_dest(self) -> None: ... def _check_nargs(self) -> None: ... def _check_opt_strings(self, opts: Iterable[str | None]) -> list[str]: ... def _check_type(self) -> None: ... def _set_attrs(self, attrs: dict[str, Any]) -> None: ... # accepted attrs depend on the ATTRS attribute def _set_opt_strings(self, opts: Iterable[str]) -> None: ... def check_value(self, opt: str, value: str) -> Any: ... # return type cannot be known statically def convert_value(self, opt: str, value: str | tuple[str, ...] | None) -> Any: ... # return type cannot be known statically def get_opt_string(self) -> str: ... def process(self, opt: str, value: str | tuple[str, ...] | None, values: Values, parser: OptionParser) -> int: ... # value of take_action can be "any" type def take_action(self, action: str, dest: str, opt: str, value: Any, values: Values, parser: OptionParser) -> int: ... def takes_value(self) -> bool: ... make_option = Option class OptionContainer: _long_opt: dict[str, Option] _short_opt: dict[str, Option] conflict_handler: str defaults: dict[str, Any] # default values can be "any" type description: str | None option_class: type[Option] def __init__( self, option_class: type[Option], conflict_handler: Literal["error", "resolve"], description: str | None ) -> None: ... def _check_conflict(self, option: Option) -> None: ... def _create_option_mappings(self) -> None: ... def _share_option_mappings(self, parser: OptionParser) -> None: ... @overload def add_option(self, opt: Option, /) -> Option: ... @overload def add_option( self, opt_str: str, /, *opts: str | None, action: str | None = None, type: str | builtins.type | None = None, dest: str | None = None, default: Any = ..., # = NO_DEFAULT nargs: int | None = None, const: Any | None = None, choices: list[str] | tuple[str, ...] | None = None, callback: Callable[..., object] | None = None, callback_args: tuple[Any, ...] | None = None, callback_kwargs: dict[str, Any] | None = None, help: str | None = None, metavar: str | None = None, **kwargs, # Allow arbitrary keyword arguments for user defined option_class ) -> Option: ... def add_options(self, option_list: Iterable[Option]) -> None: ... def destroy(self) -> None: ... def format_option_help(self, formatter: HelpFormatter) -> str: ... def format_description(self, formatter: HelpFormatter) -> str: ... def format_help(self, formatter: HelpFormatter) -> str: ... def get_description(self) -> str | None: ... def get_option(self, opt_str: str) -> Option | None: ... def has_option(self, opt_str: str) -> bool: ... def remove_option(self, opt_str: str) -> None: ... def set_conflict_handler(self, handler: Literal["error", "resolve"]) -> None: ... def set_description(self, description: str | None) -> None: ... class OptionGroup(OptionContainer): option_list: list[Option] parser: OptionParser title: str def __init__(self, parser: OptionParser, title: str, description: str | None = None) -> None: ... def _create_option_list(self) -> None: ... def set_title(self, title: str) -> None: ... class Values: def __init__(self, defaults: Mapping[str, object] | None = None) -> None: ... def _update(self, dict: Mapping[str, object], mode: Literal["careful", "loose"]) -> None: ... def _update_careful(self, dict: Mapping[str, object]) -> None: ... def _update_loose(self, dict: Mapping[str, object]) -> None: ... def ensure_value(self, attr: str, value: object) -> Any: ... # return type cannot be known statically def read_file(self, filename: str, mode: Literal["careful", "loose"] = "careful") -> None: ... def read_module(self, modname: str, mode: Literal["careful", "loose"] = "careful") -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] # __getattr__ doesn't exist, but anything passed as a default to __init__ # is set on the instance. def __getattr__(self, name: str) -> Any: ... # TODO: mypy infers -> object for __getattr__ if __setattr__ has `value: object` def __setattr__(self, name: str, value: Any, /) -> None: ... def __eq__(self, other: object) -> bool: ... class OptionParser(OptionContainer): allow_interspersed_args: bool epilog: str | None formatter: HelpFormatter largs: list[str] | None option_groups: list[OptionGroup] option_list: list[Option] process_default_values: bool prog: str | None rargs: list[str] | None standard_option_list: list[Option] usage: str | None values: Values | None version: str def __init__( self, usage: str | None = None, option_list: Iterable[Option] | None = None, option_class: type[Option] = ..., version: str | None = None, conflict_handler: str = "error", description: str | None = None, formatter: HelpFormatter | None = None, add_help_option: bool = True, prog: str | None = None, epilog: str | None = None, ) -> None: ... def _add_help_option(self) -> None: ... def _add_version_option(self) -> None: ... def _create_option_list(self) -> None: ... def _get_all_options(self) -> list[Option]: ... def _get_args(self, args: list[str] | None) -> list[str]: ... def _init_parsing_state(self) -> None: ... def _match_long_opt(self, opt: str) -> str: ... def _populate_option_list(self, option_list: Iterable[Option] | None, add_help: bool = True) -> None: ... def _process_args(self, largs: list[str], rargs: list[str], values: Values) -> None: ... def _process_long_opt(self, rargs: list[str], values: Values) -> None: ... def _process_short_opts(self, rargs: list[str], values: Values) -> None: ... @overload def add_option_group(self, opt_group: OptionGroup, /) -> OptionGroup: ... @overload def add_option_group(self, title: str, /, description: str | None = None) -> OptionGroup: ... def check_values(self, values: Values, args: list[str]) -> tuple[Values, list[str]]: ... def disable_interspersed_args(self) -> None: ... def enable_interspersed_args(self) -> None: ... def error(self, msg: str) -> NoReturn: ... def exit(self, status: int = 0, msg: str | None = None) -> NoReturn: ... def expand_prog_name(self, s: str) -> str: ... def format_epilog(self, formatter: HelpFormatter) -> str: ... def format_help(self, formatter: HelpFormatter | None = None) -> str: ... def format_option_help(self, formatter: HelpFormatter | None = None) -> str: ... def get_default_values(self) -> Values: ... def get_option_group(self, opt_str: str) -> OptionGroup | None: ... def get_prog_name(self) -> str: ... def get_usage(self) -> str: ... def get_version(self) -> str: ... def parse_args(self, args: list[str] | None = None, values: Values | None = None) -> tuple[Values, list[str]]: ... def print_usage(self, file: SupportsWrite[str] | None = None) -> None: ... def print_help(self, file: SupportsWrite[str] | None = None) -> None: ... def print_version(self, file: SupportsWrite[str] | None = None) -> None: ... def set_default(self, dest: str, value: Any) -> None: ... # default value can be "any" type def set_defaults(self, **kwargs: Any) -> None: ... # default values can be "any" type def set_process_default_values(self, process: bool) -> None: ... def set_usage(self, usage: str | None) -> None: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6077657 mypy-1.19.0/mypy/typeshed/stdlib/os/0000755000175100017510000000000015112310012016755 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/os/__init__.pyi0000644000175100017510000015124215112307767021273 0ustar00runnerrunnerimport sys from _typeshed import ( AnyStr_co, BytesPath, FileDescriptor, FileDescriptorLike, FileDescriptorOrPath, GenericPath, OpenBinaryMode, OpenBinaryModeReading, OpenBinaryModeUpdating, OpenBinaryModeWriting, OpenTextMode, ReadableBuffer, StrOrBytesPath, StrPath, SupportsLenAndGetItem, Unused, WriteableBuffer, structseq, ) from abc import ABC, abstractmethod from builtins import OSError from collections.abc import Callable, Iterable, Iterator, Mapping, MutableMapping, Sequence from io import BufferedRandom, BufferedReader, BufferedWriter, FileIO, TextIOWrapper from subprocess import Popen from types import GenericAlias, TracebackType from typing import ( IO, Any, AnyStr, BinaryIO, Final, Generic, Literal, NoReturn, Protocol, TypeVar, final, overload, runtime_checkable, type_check_only, ) from typing_extensions import LiteralString, Self, TypeAlias, Unpack, deprecated from . import path as _path # Re-export common definitions from os.path to reduce duplication from .path import ( altsep as altsep, curdir as curdir, defpath as defpath, devnull as devnull, extsep as extsep, pardir as pardir, pathsep as pathsep, sep as sep, ) __all__ = [ "F_OK", "O_APPEND", "O_CREAT", "O_EXCL", "O_RDONLY", "O_RDWR", "O_TRUNC", "O_WRONLY", "P_NOWAIT", "P_NOWAITO", "P_WAIT", "R_OK", "SEEK_CUR", "SEEK_END", "SEEK_SET", "TMP_MAX", "W_OK", "X_OK", "DirEntry", "_exit", "abort", "access", "altsep", "chdir", "chmod", "close", "closerange", "cpu_count", "curdir", "defpath", "device_encoding", "devnull", "dup", "dup2", "environ", "error", "execl", "execle", "execlp", "execlpe", "execv", "execve", "execvp", "execvpe", "extsep", "fdopen", "fsdecode", "fsencode", "fspath", "fstat", "fsync", "ftruncate", "get_exec_path", "get_inheritable", "get_terminal_size", "getcwd", "getcwdb", "getenv", "getlogin", "getpid", "getppid", "isatty", "kill", "linesep", "link", "listdir", "lseek", "lstat", "makedirs", "mkdir", "name", "open", "pardir", "path", "pathsep", "pipe", "popen", "putenv", "read", "readlink", "remove", "removedirs", "rename", "renames", "replace", "rmdir", "scandir", "sep", "set_inheritable", "spawnl", "spawnle", "spawnv", "spawnve", "stat", "stat_result", "statvfs_result", "strerror", "supports_bytes_environ", "symlink", "system", "terminal_size", "times", "times_result", "truncate", "umask", "uname_result", "unlink", "unsetenv", "urandom", "utime", "waitpid", "waitstatus_to_exitcode", "walk", "write", ] if sys.version_info >= (3, 14): __all__ += ["readinto"] if sys.platform == "darwin" and sys.version_info >= (3, 12): __all__ += ["PRIO_DARWIN_BG", "PRIO_DARWIN_NONUI", "PRIO_DARWIN_PROCESS", "PRIO_DARWIN_THREAD"] if sys.platform == "darwin" and sys.version_info >= (3, 10): __all__ += ["O_EVTONLY", "O_NOFOLLOW_ANY", "O_SYMLINK"] if sys.platform == "linux": __all__ += [ "GRND_NONBLOCK", "GRND_RANDOM", "MFD_ALLOW_SEALING", "MFD_CLOEXEC", "MFD_HUGETLB", "MFD_HUGE_16GB", "MFD_HUGE_16MB", "MFD_HUGE_1GB", "MFD_HUGE_1MB", "MFD_HUGE_256MB", "MFD_HUGE_2GB", "MFD_HUGE_2MB", "MFD_HUGE_32MB", "MFD_HUGE_512KB", "MFD_HUGE_512MB", "MFD_HUGE_64KB", "MFD_HUGE_8MB", "MFD_HUGE_MASK", "MFD_HUGE_SHIFT", "O_DIRECT", "O_LARGEFILE", "O_NOATIME", "O_PATH", "O_RSYNC", "O_TMPFILE", "P_PIDFD", "RTLD_DEEPBIND", "SCHED_BATCH", "SCHED_IDLE", "SCHED_RESET_ON_FORK", "XATTR_CREATE", "XATTR_REPLACE", "XATTR_SIZE_MAX", "copy_file_range", "getrandom", "getxattr", "listxattr", "memfd_create", "pidfd_open", "removexattr", "setxattr", ] if sys.platform == "linux" and sys.version_info >= (3, 14): __all__ += ["SCHED_DEADLINE", "SCHED_NORMAL"] if sys.platform == "linux" and sys.version_info >= (3, 13): __all__ += [ "POSIX_SPAWN_CLOSEFROM", "TFD_CLOEXEC", "TFD_NONBLOCK", "TFD_TIMER_ABSTIME", "TFD_TIMER_CANCEL_ON_SET", "timerfd_create", "timerfd_gettime", "timerfd_gettime_ns", "timerfd_settime", "timerfd_settime_ns", ] if sys.platform == "linux" and sys.version_info >= (3, 12): __all__ += [ "CLONE_FILES", "CLONE_FS", "CLONE_NEWCGROUP", "CLONE_NEWIPC", "CLONE_NEWNET", "CLONE_NEWNS", "CLONE_NEWPID", "CLONE_NEWTIME", "CLONE_NEWUSER", "CLONE_NEWUTS", "CLONE_SIGHAND", "CLONE_SYSVSEM", "CLONE_THREAD", "CLONE_VM", "setns", "unshare", "PIDFD_NONBLOCK", ] if sys.platform == "linux" and sys.version_info >= (3, 10): __all__ += [ "EFD_CLOEXEC", "EFD_NONBLOCK", "EFD_SEMAPHORE", "RWF_APPEND", "SPLICE_F_MORE", "SPLICE_F_MOVE", "SPLICE_F_NONBLOCK", "eventfd", "eventfd_read", "eventfd_write", "splice", ] if sys.platform == "win32": __all__ += [ "O_BINARY", "O_NOINHERIT", "O_RANDOM", "O_SEQUENTIAL", "O_SHORT_LIVED", "O_TEMPORARY", "O_TEXT", "P_DETACH", "P_OVERLAY", "get_handle_inheritable", "set_handle_inheritable", "startfile", ] if sys.platform == "win32" and sys.version_info >= (3, 12): __all__ += ["listdrives", "listmounts", "listvolumes"] if sys.platform != "win32": __all__ += [ "CLD_CONTINUED", "CLD_DUMPED", "CLD_EXITED", "CLD_KILLED", "CLD_STOPPED", "CLD_TRAPPED", "EX_CANTCREAT", "EX_CONFIG", "EX_DATAERR", "EX_IOERR", "EX_NOHOST", "EX_NOINPUT", "EX_NOPERM", "EX_NOUSER", "EX_OSERR", "EX_OSFILE", "EX_PROTOCOL", "EX_SOFTWARE", "EX_TEMPFAIL", "EX_UNAVAILABLE", "EX_USAGE", "F_LOCK", "F_TEST", "F_TLOCK", "F_ULOCK", "NGROUPS_MAX", "O_ACCMODE", "O_ASYNC", "O_CLOEXEC", "O_DIRECTORY", "O_DSYNC", "O_NDELAY", "O_NOCTTY", "O_NOFOLLOW", "O_NONBLOCK", "O_SYNC", "POSIX_SPAWN_CLOSE", "POSIX_SPAWN_DUP2", "POSIX_SPAWN_OPEN", "PRIO_PGRP", "PRIO_PROCESS", "PRIO_USER", "P_ALL", "P_PGID", "P_PID", "RTLD_GLOBAL", "RTLD_LAZY", "RTLD_LOCAL", "RTLD_NODELETE", "RTLD_NOLOAD", "RTLD_NOW", "SCHED_FIFO", "SCHED_OTHER", "SCHED_RR", "SEEK_DATA", "SEEK_HOLE", "ST_NOSUID", "ST_RDONLY", "WCONTINUED", "WCOREDUMP", "WEXITED", "WEXITSTATUS", "WIFCONTINUED", "WIFEXITED", "WIFSIGNALED", "WIFSTOPPED", "WNOHANG", "WNOWAIT", "WSTOPPED", "WSTOPSIG", "WTERMSIG", "WUNTRACED", "chown", "chroot", "confstr", "confstr_names", "ctermid", "environb", "fchdir", "fchown", "fork", "forkpty", "fpathconf", "fstatvfs", "fwalk", "getegid", "getenvb", "geteuid", "getgid", "getgrouplist", "getgroups", "getloadavg", "getpgid", "getpgrp", "getpriority", "getsid", "getuid", "initgroups", "killpg", "lchown", "lockf", "major", "makedev", "minor", "mkfifo", "mknod", "nice", "openpty", "pathconf", "pathconf_names", "posix_spawn", "posix_spawnp", "pread", "preadv", "pwrite", "pwritev", "readv", "register_at_fork", "sched_get_priority_max", "sched_get_priority_min", "sched_yield", "sendfile", "setegid", "seteuid", "setgid", "setgroups", "setpgid", "setpgrp", "setpriority", "setregid", "setreuid", "setsid", "setuid", "spawnlp", "spawnlpe", "spawnvp", "spawnvpe", "statvfs", "sync", "sysconf", "sysconf_names", "tcgetpgrp", "tcsetpgrp", "ttyname", "uname", "wait", "wait3", "wait4", "writev", ] if sys.platform != "win32" and sys.version_info >= (3, 13): __all__ += ["grantpt", "posix_openpt", "ptsname", "unlockpt"] if sys.platform != "win32" and sys.version_info >= (3, 11): __all__ += ["login_tty"] if sys.platform != "win32" and sys.version_info >= (3, 10): __all__ += ["O_FSYNC"] if sys.platform != "darwin" and sys.platform != "win32": __all__ += [ "POSIX_FADV_DONTNEED", "POSIX_FADV_NOREUSE", "POSIX_FADV_NORMAL", "POSIX_FADV_RANDOM", "POSIX_FADV_SEQUENTIAL", "POSIX_FADV_WILLNEED", "RWF_DSYNC", "RWF_HIPRI", "RWF_NOWAIT", "RWF_SYNC", "ST_APPEND", "ST_MANDLOCK", "ST_NOATIME", "ST_NODEV", "ST_NODIRATIME", "ST_NOEXEC", "ST_RELATIME", "ST_SYNCHRONOUS", "ST_WRITE", "fdatasync", "getresgid", "getresuid", "pipe2", "posix_fadvise", "posix_fallocate", "sched_getaffinity", "sched_getparam", "sched_getscheduler", "sched_param", "sched_rr_get_interval", "sched_setaffinity", "sched_setparam", "sched_setscheduler", "setresgid", "setresuid", ] if sys.platform != "linux" and sys.platform != "win32": __all__ += ["O_EXLOCK", "O_SHLOCK", "chflags", "lchflags"] if sys.platform != "linux" and sys.platform != "win32" and sys.version_info >= (3, 13): __all__ += ["O_EXEC", "O_SEARCH"] if sys.platform != "darwin" or sys.version_info >= (3, 13): if sys.platform != "win32": __all__ += ["waitid", "waitid_result"] if sys.platform != "win32" or sys.version_info >= (3, 13): __all__ += ["fchmod"] if sys.platform != "linux": __all__ += ["lchmod"] if sys.platform != "win32" or sys.version_info >= (3, 12): __all__ += ["get_blocking", "set_blocking"] if sys.platform != "win32" or sys.version_info >= (3, 11): __all__ += ["EX_OK"] # This unnecessary alias is to work around various errors path = _path _T = TypeVar("_T") _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") # ----- os variables ----- error = OSError supports_bytes_environ: bool supports_dir_fd: set[Callable[..., Any]] supports_fd: set[Callable[..., Any]] supports_effective_ids: set[Callable[..., Any]] supports_follow_symlinks: set[Callable[..., Any]] if sys.platform != "win32": # Unix only PRIO_PROCESS: Final[int] PRIO_PGRP: Final[int] PRIO_USER: Final[int] F_LOCK: Final[int] F_TLOCK: Final[int] F_ULOCK: Final[int] F_TEST: Final[int] if sys.platform != "darwin": POSIX_FADV_NORMAL: Final[int] POSIX_FADV_SEQUENTIAL: Final[int] POSIX_FADV_RANDOM: Final[int] POSIX_FADV_NOREUSE: Final[int] POSIX_FADV_WILLNEED: Final[int] POSIX_FADV_DONTNEED: Final[int] if sys.platform != "linux" and sys.platform != "darwin": # In the os-module docs, these are marked as being available # on "Unix, not Emscripten, not WASI." # However, in the source code, a comment indicates they're "FreeBSD constants". # sys.platform could have one of many values on a FreeBSD Python build, # so the sys-module docs recommend doing `if sys.platform.startswith('freebsd')` # to detect FreeBSD builds. Unfortunately that would be too dynamic # for type checkers, however. SF_NODISKIO: Final[int] SF_MNOWAIT: Final[int] SF_SYNC: Final[int] if sys.version_info >= (3, 11): SF_NOCACHE: Final[int] if sys.platform == "linux": XATTR_SIZE_MAX: Final[int] XATTR_CREATE: Final[int] XATTR_REPLACE: Final[int] P_PID: Final[int] P_PGID: Final[int] P_ALL: Final[int] if sys.platform == "linux": P_PIDFD: Final[int] WEXITED: Final[int] WSTOPPED: Final[int] WNOWAIT: Final[int] CLD_EXITED: Final[int] CLD_DUMPED: Final[int] CLD_TRAPPED: Final[int] CLD_CONTINUED: Final[int] CLD_KILLED: Final[int] CLD_STOPPED: Final[int] SCHED_OTHER: Final[int] SCHED_FIFO: Final[int] SCHED_RR: Final[int] if sys.platform != "darwin" and sys.platform != "linux": SCHED_SPORADIC: Final[int] if sys.platform == "linux": SCHED_BATCH: Final[int] SCHED_IDLE: Final[int] SCHED_RESET_ON_FORK: Final[int] if sys.version_info >= (3, 14) and sys.platform == "linux": SCHED_DEADLINE: Final[int] SCHED_NORMAL: Final[int] if sys.platform != "win32": RTLD_LAZY: Final[int] RTLD_NOW: Final[int] RTLD_GLOBAL: Final[int] RTLD_LOCAL: Final[int] RTLD_NODELETE: Final[int] RTLD_NOLOAD: Final[int] if sys.platform == "linux": RTLD_DEEPBIND: Final[int] GRND_NONBLOCK: Final[int] GRND_RANDOM: Final[int] if sys.platform == "darwin" and sys.version_info >= (3, 12): PRIO_DARWIN_BG: Final[int] PRIO_DARWIN_NONUI: Final[int] PRIO_DARWIN_PROCESS: Final[int] PRIO_DARWIN_THREAD: Final[int] SEEK_SET: Final = 0 SEEK_CUR: Final = 1 SEEK_END: Final = 2 if sys.platform != "win32": SEEK_DATA: Final = 3 SEEK_HOLE: Final = 4 O_RDONLY: Final[int] O_WRONLY: Final[int] O_RDWR: Final[int] O_APPEND: Final[int] O_CREAT: Final[int] O_EXCL: Final[int] O_TRUNC: Final[int] if sys.platform == "win32": O_BINARY: Final[int] O_NOINHERIT: Final[int] O_SHORT_LIVED: Final[int] O_TEMPORARY: Final[int] O_RANDOM: Final[int] O_SEQUENTIAL: Final[int] O_TEXT: Final[int] if sys.platform != "win32": O_DSYNC: Final[int] O_SYNC: Final[int] O_NDELAY: Final[int] O_NONBLOCK: Final[int] O_NOCTTY: Final[int] O_CLOEXEC: Final[int] O_ASYNC: Final[int] # Gnu extension if in C library O_DIRECTORY: Final[int] # Gnu extension if in C library O_NOFOLLOW: Final[int] # Gnu extension if in C library O_ACCMODE: Final[int] # TODO: when does this exist? if sys.platform == "linux": O_RSYNC: Final[int] O_DIRECT: Final[int] # Gnu extension if in C library O_NOATIME: Final[int] # Gnu extension if in C library O_PATH: Final[int] # Gnu extension if in C library O_TMPFILE: Final[int] # Gnu extension if in C library O_LARGEFILE: Final[int] # Gnu extension if in C library if sys.platform != "linux" and sys.platform != "win32": O_SHLOCK: Final[int] O_EXLOCK: Final[int] if sys.platform == "darwin" and sys.version_info >= (3, 10): O_EVTONLY: Final[int] O_NOFOLLOW_ANY: Final[int] O_SYMLINK: Final[int] if sys.platform != "win32" and sys.version_info >= (3, 10): O_FSYNC: Final[int] if sys.platform != "linux" and sys.platform != "win32" and sys.version_info >= (3, 13): O_EXEC: Final[int] O_SEARCH: Final[int] if sys.platform != "win32" and sys.platform != "darwin": # posix, but apparently missing on macos ST_APPEND: Final[int] ST_MANDLOCK: Final[int] ST_NOATIME: Final[int] ST_NODEV: Final[int] ST_NODIRATIME: Final[int] ST_NOEXEC: Final[int] ST_RELATIME: Final[int] ST_SYNCHRONOUS: Final[int] ST_WRITE: Final[int] if sys.platform != "win32": NGROUPS_MAX: Final[int] ST_NOSUID: Final[int] ST_RDONLY: Final[int] linesep: Literal["\n", "\r\n"] name: LiteralString F_OK: Final = 0 R_OK: Final = 4 W_OK: Final = 2 X_OK: Final = 1 _EnvironCodeFunc: TypeAlias = Callable[[AnyStr], AnyStr] class _Environ(MutableMapping[AnyStr, AnyStr], Generic[AnyStr]): encodekey: _EnvironCodeFunc[AnyStr] decodekey: _EnvironCodeFunc[AnyStr] encodevalue: _EnvironCodeFunc[AnyStr] decodevalue: _EnvironCodeFunc[AnyStr] def __init__( self, data: MutableMapping[AnyStr, AnyStr], encodekey: _EnvironCodeFunc[AnyStr], decodekey: _EnvironCodeFunc[AnyStr], encodevalue: _EnvironCodeFunc[AnyStr], decodevalue: _EnvironCodeFunc[AnyStr], ) -> None: ... def setdefault(self, key: AnyStr, value: AnyStr) -> AnyStr: ... def copy(self) -> dict[AnyStr, AnyStr]: ... def __delitem__(self, key: AnyStr) -> None: ... def __getitem__(self, key: AnyStr) -> AnyStr: ... def __setitem__(self, key: AnyStr, value: AnyStr) -> None: ... def __iter__(self) -> Iterator[AnyStr]: ... def __len__(self) -> int: ... def __or__(self, other: Mapping[_T1, _T2]) -> dict[AnyStr | _T1, AnyStr | _T2]: ... def __ror__(self, other: Mapping[_T1, _T2]) -> dict[AnyStr | _T1, AnyStr | _T2]: ... # We use @overload instead of a Union for reasons similar to those given for # overloading MutableMapping.update in stdlib/typing.pyi # The type: ignore is needed due to incompatible __or__/__ior__ signatures @overload # type: ignore[misc] def __ior__(self, other: Mapping[AnyStr, AnyStr]) -> Self: ... @overload def __ior__(self, other: Iterable[tuple[AnyStr, AnyStr]]) -> Self: ... environ: _Environ[str] if sys.platform != "win32": environb: _Environ[bytes] if sys.version_info >= (3, 14): def reload_environ() -> None: ... if sys.version_info >= (3, 11) or sys.platform != "win32": EX_OK: Final[int] if sys.platform != "win32": confstr_names: dict[str, int] pathconf_names: dict[str, int] sysconf_names: dict[str, int] EX_USAGE: Final[int] EX_DATAERR: Final[int] EX_NOINPUT: Final[int] EX_NOUSER: Final[int] EX_NOHOST: Final[int] EX_UNAVAILABLE: Final[int] EX_SOFTWARE: Final[int] EX_OSERR: Final[int] EX_OSFILE: Final[int] EX_CANTCREAT: Final[int] EX_IOERR: Final[int] EX_TEMPFAIL: Final[int] EX_PROTOCOL: Final[int] EX_NOPERM: Final[int] EX_CONFIG: Final[int] # Exists on some Unix platforms, e.g. Solaris. if sys.platform != "win32" and sys.platform != "darwin" and sys.platform != "linux": EX_NOTFOUND: Final[int] P_NOWAIT: Final[int] P_NOWAITO: Final[int] P_WAIT: Final[int] if sys.platform == "win32": P_DETACH: Final[int] P_OVERLAY: Final[int] # wait()/waitpid() options if sys.platform != "win32": WNOHANG: Final[int] # Unix only WCONTINUED: Final[int] # some Unix systems WUNTRACED: Final[int] # Unix only TMP_MAX: Final[int] # Undocumented, but used by tempfile # ----- os classes (structures) ----- @final class stat_result(structseq[float], tuple[int, int, int, int, int, int, int, float, float, float]): # The constructor of this class takes an iterable of variable length (though it must be at least 10). # # However, this class behaves like a tuple of 10 elements, # no matter how long the iterable supplied to the constructor is. # https://github.com/python/typeshed/pull/6560#discussion_r767162532 # # The 10 elements always present are st_mode, st_ino, st_dev, st_nlink, # st_uid, st_gid, st_size, st_atime, st_mtime, st_ctime. # # More items may be added at the end by some implementations. if sys.version_info >= (3, 10): __match_args__: Final = ("st_mode", "st_ino", "st_dev", "st_nlink", "st_uid", "st_gid", "st_size") @property def st_mode(self) -> int: ... # protection bits, @property def st_ino(self) -> int: ... # inode number, @property def st_dev(self) -> int: ... # device, @property def st_nlink(self) -> int: ... # number of hard links, @property def st_uid(self) -> int: ... # user id of owner, @property def st_gid(self) -> int: ... # group id of owner, @property def st_size(self) -> int: ... # size of file, in bytes, @property def st_atime(self) -> float: ... # time of most recent access, @property def st_mtime(self) -> float: ... # time of most recent content modification, # platform dependent (time of most recent metadata change on Unix, or the time of creation on Windows) if sys.version_info >= (3, 12) and sys.platform == "win32": @property @deprecated( """\ Use st_birthtime instead to retrieve the file creation time. \ In the future, this property will contain the last metadata change time.""" ) def st_ctime(self) -> float: ... else: @property def st_ctime(self) -> float: ... @property def st_atime_ns(self) -> int: ... # time of most recent access, in nanoseconds @property def st_mtime_ns(self) -> int: ... # time of most recent content modification in nanoseconds # platform dependent (time of most recent metadata change on Unix, or the time of creation on Windows) in nanoseconds @property def st_ctime_ns(self) -> int: ... if sys.platform == "win32": @property def st_file_attributes(self) -> int: ... @property def st_reparse_tag(self) -> int: ... if sys.version_info >= (3, 12): @property def st_birthtime(self) -> float: ... # time of file creation in seconds @property def st_birthtime_ns(self) -> int: ... # time of file creation in nanoseconds else: @property def st_blocks(self) -> int: ... # number of blocks allocated for file @property def st_blksize(self) -> int: ... # filesystem blocksize @property def st_rdev(self) -> int: ... # type of device if an inode device if sys.platform != "linux": # These properties are available on MacOS, but not Ubuntu. # On other Unix systems (such as FreeBSD), the following attributes may be # available (but may be only filled out if root tries to use them): @property def st_gen(self) -> int: ... # file generation number @property def st_birthtime(self) -> float: ... # time of file creation in seconds if sys.platform == "darwin": @property def st_flags(self) -> int: ... # user defined flags for file # Attributes documented as sometimes appearing, but deliberately omitted from the stub: `st_creator`, `st_rsize`, `st_type`. # See https://github.com/python/typeshed/pull/6560#issuecomment-991253327 # mypy and pyright object to this being both ABC and Protocol. # At runtime it inherits from ABC and is not a Protocol, but it will be # on the allowlist for use as a Protocol starting in 3.14. @runtime_checkable class PathLike(ABC, Protocol[AnyStr_co]): # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] __slots__ = () @abstractmethod def __fspath__(self) -> AnyStr_co: ... @overload def listdir(path: StrPath | None = None) -> list[str]: ... @overload def listdir(path: BytesPath) -> list[bytes]: ... @overload def listdir(path: int) -> list[str]: ... @final class DirEntry(Generic[AnyStr]): # This is what the scandir iterator yields # The constructor is hidden @property def name(self) -> AnyStr: ... @property def path(self) -> AnyStr: ... def inode(self) -> int: ... def is_dir(self, *, follow_symlinks: bool = True) -> bool: ... def is_file(self, *, follow_symlinks: bool = True) -> bool: ... def is_symlink(self) -> bool: ... def stat(self, *, follow_symlinks: bool = True) -> stat_result: ... def __fspath__(self) -> AnyStr: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... if sys.version_info >= (3, 12): def is_junction(self) -> bool: ... @final class statvfs_result(structseq[int], tuple[int, int, int, int, int, int, int, int, int, int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ( "f_bsize", "f_frsize", "f_blocks", "f_bfree", "f_bavail", "f_files", "f_ffree", "f_favail", "f_flag", "f_namemax", ) @property def f_bsize(self) -> int: ... @property def f_frsize(self) -> int: ... @property def f_blocks(self) -> int: ... @property def f_bfree(self) -> int: ... @property def f_bavail(self) -> int: ... @property def f_files(self) -> int: ... @property def f_ffree(self) -> int: ... @property def f_favail(self) -> int: ... @property def f_flag(self) -> int: ... @property def f_namemax(self) -> int: ... @property def f_fsid(self) -> int: ... # ----- os function stubs ----- def fsencode(filename: StrOrBytesPath) -> bytes: ... def fsdecode(filename: StrOrBytesPath) -> str: ... @overload def fspath(path: str) -> str: ... @overload def fspath(path: bytes) -> bytes: ... @overload def fspath(path: PathLike[AnyStr]) -> AnyStr: ... def get_exec_path(env: Mapping[str, str] | None = None) -> list[str]: ... def getlogin() -> str: ... def getpid() -> int: ... def getppid() -> int: ... def strerror(code: int, /) -> str: ... def umask(mask: int, /) -> int: ... @final class uname_result(structseq[str], tuple[str, str, str, str, str]): if sys.version_info >= (3, 10): __match_args__: Final = ("sysname", "nodename", "release", "version", "machine") @property def sysname(self) -> str: ... @property def nodename(self) -> str: ... @property def release(self) -> str: ... @property def version(self) -> str: ... @property def machine(self) -> str: ... if sys.platform != "win32": def ctermid() -> str: ... def getegid() -> int: ... def geteuid() -> int: ... def getgid() -> int: ... def getgrouplist(user: str, group: int, /) -> list[int]: ... def getgroups() -> list[int]: ... # Unix only, behaves differently on Mac def initgroups(username: str, gid: int, /) -> None: ... def getpgid(pid: int) -> int: ... def getpgrp() -> int: ... def getpriority(which: int, who: int) -> int: ... def setpriority(which: int, who: int, priority: int) -> None: ... if sys.platform != "darwin": def getresuid() -> tuple[int, int, int]: ... def getresgid() -> tuple[int, int, int]: ... def getuid() -> int: ... def setegid(egid: int, /) -> None: ... def seteuid(euid: int, /) -> None: ... def setgid(gid: int, /) -> None: ... def setgroups(groups: Sequence[int], /) -> None: ... def setpgrp() -> None: ... def setpgid(pid: int, pgrp: int, /) -> None: ... def setregid(rgid: int, egid: int, /) -> None: ... if sys.platform != "darwin": def setresgid(rgid: int, egid: int, sgid: int, /) -> None: ... def setresuid(ruid: int, euid: int, suid: int, /) -> None: ... def setreuid(ruid: int, euid: int, /) -> None: ... def getsid(pid: int, /) -> int: ... def setsid() -> None: ... def setuid(uid: int, /) -> None: ... def uname() -> uname_result: ... @overload def getenv(key: str) -> str | None: ... @overload def getenv(key: str, default: _T) -> str | _T: ... if sys.platform != "win32": @overload def getenvb(key: bytes) -> bytes | None: ... @overload def getenvb(key: bytes, default: _T) -> bytes | _T: ... def putenv(name: StrOrBytesPath, value: StrOrBytesPath, /) -> None: ... def unsetenv(name: StrOrBytesPath, /) -> None: ... else: def putenv(name: str, value: str, /) -> None: ... def unsetenv(name: str, /) -> None: ... _Opener: TypeAlias = Callable[[str, int], int] @overload def fdopen( fd: int, mode: OpenTextMode = "r", buffering: int = -1, encoding: str | None = None, errors: str | None = ..., newline: str | None = ..., closefd: bool = ..., opener: _Opener | None = ..., ) -> TextIOWrapper: ... @overload def fdopen( fd: int, mode: OpenBinaryMode, buffering: Literal[0], encoding: None = None, errors: None = None, newline: None = None, closefd: bool = ..., opener: _Opener | None = ..., ) -> FileIO: ... @overload def fdopen( fd: int, mode: OpenBinaryModeUpdating, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, closefd: bool = ..., opener: _Opener | None = ..., ) -> BufferedRandom: ... @overload def fdopen( fd: int, mode: OpenBinaryModeWriting, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, closefd: bool = ..., opener: _Opener | None = ..., ) -> BufferedWriter: ... @overload def fdopen( fd: int, mode: OpenBinaryModeReading, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, closefd: bool = ..., opener: _Opener | None = ..., ) -> BufferedReader: ... @overload def fdopen( fd: int, mode: OpenBinaryMode, buffering: int = -1, encoding: None = None, errors: None = None, newline: None = None, closefd: bool = ..., opener: _Opener | None = ..., ) -> BinaryIO: ... @overload def fdopen( fd: int, mode: str, buffering: int = -1, encoding: str | None = None, errors: str | None = ..., newline: str | None = ..., closefd: bool = ..., opener: _Opener | None = ..., ) -> IO[Any]: ... def close(fd: int) -> None: ... def closerange(fd_low: int, fd_high: int, /) -> None: ... def device_encoding(fd: int) -> str | None: ... def dup(fd: int, /) -> int: ... def dup2(fd: int, fd2: int, inheritable: bool = True) -> int: ... def fstat(fd: int) -> stat_result: ... def ftruncate(fd: int, length: int, /) -> None: ... def fsync(fd: FileDescriptorLike) -> None: ... def isatty(fd: int, /) -> bool: ... if sys.platform != "win32" and sys.version_info >= (3, 11): def login_tty(fd: int, /) -> None: ... if sys.version_info >= (3, 11): def lseek(fd: int, position: int, whence: int, /) -> int: ... else: def lseek(fd: int, position: int, how: int, /) -> int: ... def open(path: StrOrBytesPath, flags: int, mode: int = 0o777, *, dir_fd: int | None = None) -> int: ... def pipe() -> tuple[int, int]: ... def read(fd: int, length: int, /) -> bytes: ... if sys.version_info >= (3, 12) or sys.platform != "win32": def get_blocking(fd: int, /) -> bool: ... def set_blocking(fd: int, blocking: bool, /) -> None: ... if sys.platform != "win32": def fchown(fd: int, uid: int, gid: int) -> None: ... def fpathconf(fd: int, name: str | int, /) -> int: ... def fstatvfs(fd: int, /) -> statvfs_result: ... def lockf(fd: int, command: int, length: int, /) -> None: ... def openpty() -> tuple[int, int]: ... # some flavors of Unix if sys.platform != "darwin": def fdatasync(fd: FileDescriptorLike) -> None: ... def pipe2(flags: int, /) -> tuple[int, int]: ... # some flavors of Unix def posix_fallocate(fd: int, offset: int, length: int, /) -> None: ... def posix_fadvise(fd: int, offset: int, length: int, advice: int, /) -> None: ... def pread(fd: int, length: int, offset: int, /) -> bytes: ... def pwrite(fd: int, buffer: ReadableBuffer, offset: int, /) -> int: ... # In CI, stubtest sometimes reports that these are available on MacOS, sometimes not def preadv(fd: int, buffers: SupportsLenAndGetItem[WriteableBuffer], offset: int, flags: int = 0, /) -> int: ... def pwritev(fd: int, buffers: SupportsLenAndGetItem[ReadableBuffer], offset: int, flags: int = 0, /) -> int: ... if sys.platform != "darwin": if sys.version_info >= (3, 10): RWF_APPEND: Final[int] # docs say available on 3.7+, stubtest says otherwise RWF_DSYNC: Final[int] RWF_SYNC: Final[int] RWF_HIPRI: Final[int] RWF_NOWAIT: Final[int] if sys.platform == "linux": def sendfile(out_fd: FileDescriptor, in_fd: FileDescriptor, offset: int | None, count: int) -> int: ... else: def sendfile( out_fd: FileDescriptor, in_fd: FileDescriptor, offset: int, count: int, headers: Sequence[ReadableBuffer] = (), trailers: Sequence[ReadableBuffer] = (), flags: int = 0, ) -> int: ... # FreeBSD and Mac OS X only def readv(fd: int, buffers: SupportsLenAndGetItem[WriteableBuffer], /) -> int: ... def writev(fd: int, buffers: SupportsLenAndGetItem[ReadableBuffer], /) -> int: ... if sys.version_info >= (3, 14): def readinto(fd: int, buffer: ReadableBuffer, /) -> int: ... @final class terminal_size(structseq[int], tuple[int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ("columns", "lines") @property def columns(self) -> int: ... @property def lines(self) -> int: ... def get_terminal_size(fd: int = ..., /) -> terminal_size: ... def get_inheritable(fd: int, /) -> bool: ... def set_inheritable(fd: int, inheritable: bool, /) -> None: ... if sys.platform == "win32": def get_handle_inheritable(handle: int, /) -> bool: ... def set_handle_inheritable(handle: int, inheritable: bool, /) -> None: ... if sys.platform != "win32": # Unix only def tcgetpgrp(fd: int, /) -> int: ... def tcsetpgrp(fd: int, pgid: int, /) -> None: ... def ttyname(fd: int, /) -> str: ... def write(fd: int, data: ReadableBuffer, /) -> int: ... def access( path: FileDescriptorOrPath, mode: int, *, dir_fd: int | None = None, effective_ids: bool = False, follow_symlinks: bool = True ) -> bool: ... def chdir(path: FileDescriptorOrPath) -> None: ... if sys.platform != "win32": def fchdir(fd: FileDescriptorLike) -> None: ... def getcwd() -> str: ... def getcwdb() -> bytes: ... def chmod(path: FileDescriptorOrPath, mode: int, *, dir_fd: int | None = None, follow_symlinks: bool = True) -> None: ... if sys.platform != "win32" and sys.platform != "linux": def chflags(path: StrOrBytesPath, flags: int, follow_symlinks: bool = True) -> None: ... # some flavors of Unix def lchflags(path: StrOrBytesPath, flags: int) -> None: ... if sys.platform != "win32": def chroot(path: StrOrBytesPath) -> None: ... def chown( path: FileDescriptorOrPath, uid: int, gid: int, *, dir_fd: int | None = None, follow_symlinks: bool = True ) -> None: ... def lchown(path: StrOrBytesPath, uid: int, gid: int) -> None: ... def link( src: StrOrBytesPath, dst: StrOrBytesPath, *, src_dir_fd: int | None = None, dst_dir_fd: int | None = None, follow_symlinks: bool = True, ) -> None: ... def lstat(path: StrOrBytesPath, *, dir_fd: int | None = None) -> stat_result: ... def mkdir(path: StrOrBytesPath, mode: int = 0o777, *, dir_fd: int | None = None) -> None: ... if sys.platform != "win32": def mkfifo(path: StrOrBytesPath, mode: int = 0o666, *, dir_fd: int | None = None) -> None: ... # Unix only def makedirs(name: StrOrBytesPath, mode: int = 0o777, exist_ok: bool = False) -> None: ... if sys.platform != "win32": def mknod(path: StrOrBytesPath, mode: int = 0o600, device: int = 0, *, dir_fd: int | None = None) -> None: ... def major(device: int, /) -> int: ... def minor(device: int, /) -> int: ... def makedev(major: int, minor: int, /) -> int: ... def pathconf(path: FileDescriptorOrPath, name: str | int) -> int: ... # Unix only def readlink(path: GenericPath[AnyStr], *, dir_fd: int | None = None) -> AnyStr: ... def remove(path: StrOrBytesPath, *, dir_fd: int | None = None) -> None: ... def removedirs(name: StrOrBytesPath) -> None: ... def rename(src: StrOrBytesPath, dst: StrOrBytesPath, *, src_dir_fd: int | None = None, dst_dir_fd: int | None = None) -> None: ... def renames(old: StrOrBytesPath, new: StrOrBytesPath) -> None: ... def replace( src: StrOrBytesPath, dst: StrOrBytesPath, *, src_dir_fd: int | None = None, dst_dir_fd: int | None = None ) -> None: ... def rmdir(path: StrOrBytesPath, *, dir_fd: int | None = None) -> None: ... @final @type_check_only class _ScandirIterator(Generic[AnyStr]): def __del__(self) -> None: ... def __iter__(self) -> Self: ... def __next__(self) -> DirEntry[AnyStr]: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def close(self) -> None: ... @overload def scandir(path: None = None) -> _ScandirIterator[str]: ... @overload def scandir(path: int) -> _ScandirIterator[str]: ... @overload def scandir(path: GenericPath[AnyStr]) -> _ScandirIterator[AnyStr]: ... def stat(path: FileDescriptorOrPath, *, dir_fd: int | None = None, follow_symlinks: bool = True) -> stat_result: ... if sys.platform != "win32": def statvfs(path: FileDescriptorOrPath) -> statvfs_result: ... # Unix only def symlink( src: StrOrBytesPath, dst: StrOrBytesPath, target_is_directory: bool = False, *, dir_fd: int | None = None ) -> None: ... if sys.platform != "win32": def sync() -> None: ... # Unix only def truncate(path: FileDescriptorOrPath, length: int) -> None: ... # Unix only up to version 3.4 def unlink(path: StrOrBytesPath, *, dir_fd: int | None = None) -> None: ... def utime( path: FileDescriptorOrPath, times: tuple[int, int] | tuple[float, float] | None = None, *, ns: tuple[int, int] = ..., dir_fd: int | None = None, follow_symlinks: bool = True, ) -> None: ... _OnError: TypeAlias = Callable[[OSError], object] def walk( top: GenericPath[AnyStr], topdown: bool = True, onerror: _OnError | None = None, followlinks: bool = False ) -> Iterator[tuple[AnyStr, list[AnyStr], list[AnyStr]]]: ... if sys.platform != "win32": @overload def fwalk( top: StrPath = ".", topdown: bool = True, onerror: _OnError | None = None, *, follow_symlinks: bool = False, dir_fd: int | None = None, ) -> Iterator[tuple[str, list[str], list[str], int]]: ... @overload def fwalk( top: BytesPath, topdown: bool = True, onerror: _OnError | None = None, *, follow_symlinks: bool = False, dir_fd: int | None = None, ) -> Iterator[tuple[bytes, list[bytes], list[bytes], int]]: ... if sys.platform == "linux": def getxattr(path: FileDescriptorOrPath, attribute: StrOrBytesPath, *, follow_symlinks: bool = True) -> bytes: ... def listxattr(path: FileDescriptorOrPath | None = None, *, follow_symlinks: bool = True) -> list[str]: ... def removexattr(path: FileDescriptorOrPath, attribute: StrOrBytesPath, *, follow_symlinks: bool = True) -> None: ... def setxattr( path: FileDescriptorOrPath, attribute: StrOrBytesPath, value: ReadableBuffer, flags: int = 0, *, follow_symlinks: bool = True, ) -> None: ... def abort() -> NoReturn: ... # These are defined as execl(file, *args) but the first *arg is mandatory. def execl(file: StrOrBytesPath, *args: Unpack[tuple[StrOrBytesPath, Unpack[tuple[StrOrBytesPath, ...]]]]) -> NoReturn: ... def execlp(file: StrOrBytesPath, *args: Unpack[tuple[StrOrBytesPath, Unpack[tuple[StrOrBytesPath, ...]]]]) -> NoReturn: ... # These are: execle(file, *args, env) but env is pulled from the last element of the args. def execle( file: StrOrBytesPath, *args: Unpack[tuple[StrOrBytesPath, Unpack[tuple[StrOrBytesPath, ...]], _ExecEnv]] ) -> NoReturn: ... def execlpe( file: StrOrBytesPath, *args: Unpack[tuple[StrOrBytesPath, Unpack[tuple[StrOrBytesPath, ...]], _ExecEnv]] ) -> NoReturn: ... # The docs say `args: tuple or list of strings` # The implementation enforces tuple or list so we can't use Sequence. # Not separating out PathLike[str] and PathLike[bytes] here because it doesn't make much difference # in practice, and doing so would explode the number of combinations in this already long union. # All these combinations are necessary due to list being invariant. _ExecVArgs: TypeAlias = ( tuple[StrOrBytesPath, ...] | list[bytes] | list[str] | list[PathLike[Any]] | list[bytes | str] | list[bytes | PathLike[Any]] | list[str | PathLike[Any]] | list[bytes | str | PathLike[Any]] ) # Depending on the OS, the keys and values are passed either to # PyUnicode_FSDecoder (which accepts str | ReadableBuffer) or to # PyUnicode_FSConverter (which accepts StrOrBytesPath). For simplicity, # we limit to str | bytes. _ExecEnv: TypeAlias = Mapping[bytes, bytes | str] | Mapping[str, bytes | str] def execv(path: StrOrBytesPath, argv: _ExecVArgs, /) -> NoReturn: ... def execve(path: FileDescriptorOrPath, argv: _ExecVArgs, env: _ExecEnv) -> NoReturn: ... def execvp(file: StrOrBytesPath, args: _ExecVArgs) -> NoReturn: ... def execvpe(file: StrOrBytesPath, args: _ExecVArgs, env: _ExecEnv) -> NoReturn: ... def _exit(status: int) -> NoReturn: ... def kill(pid: int, signal: int, /) -> None: ... if sys.platform != "win32": # Unix only def fork() -> int: ... def forkpty() -> tuple[int, int]: ... # some flavors of Unix def killpg(pgid: int, signal: int, /) -> None: ... def nice(increment: int, /) -> int: ... if sys.platform != "darwin" and sys.platform != "linux": def plock(op: int, /) -> None: ... class _wrap_close: def __init__(self, stream: TextIOWrapper, proc: Popen[str]) -> None: ... def close(self) -> int | None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def __iter__(self) -> Iterator[str]: ... # Methods below here don't exist directly on the _wrap_close object, but # are copied from the wrapped TextIOWrapper object via __getattr__. # The full set of TextIOWrapper methods are technically available this way, # but undocumented. Only a subset are currently included here. def read(self, size: int | None = -1, /) -> str: ... def readable(self) -> bool: ... def readline(self, size: int = -1, /) -> str: ... def readlines(self, hint: int = -1, /) -> list[str]: ... def writable(self) -> bool: ... def write(self, s: str, /) -> int: ... def writelines(self, lines: Iterable[str], /) -> None: ... def popen(cmd: str, mode: str = "r", buffering: int = -1) -> _wrap_close: ... def spawnl(mode: int, file: StrOrBytesPath, arg0: StrOrBytesPath, *args: StrOrBytesPath) -> int: ... def spawnle(mode: int, file: StrOrBytesPath, arg0: StrOrBytesPath, *args: Any) -> int: ... # Imprecise sig if sys.platform != "win32": def spawnv(mode: int, file: StrOrBytesPath, args: _ExecVArgs) -> int: ... def spawnve(mode: int, file: StrOrBytesPath, args: _ExecVArgs, env: _ExecEnv) -> int: ... else: def spawnv(mode: int, path: StrOrBytesPath, argv: _ExecVArgs, /) -> int: ... def spawnve(mode: int, path: StrOrBytesPath, argv: _ExecVArgs, env: _ExecEnv, /) -> int: ... def system(command: StrOrBytesPath) -> int: ... @final class times_result(structseq[float], tuple[float, float, float, float, float]): if sys.version_info >= (3, 10): __match_args__: Final = ("user", "system", "children_user", "children_system", "elapsed") @property def user(self) -> float: ... @property def system(self) -> float: ... @property def children_user(self) -> float: ... @property def children_system(self) -> float: ... @property def elapsed(self) -> float: ... def times() -> times_result: ... def waitpid(pid: int, options: int, /) -> tuple[int, int]: ... if sys.platform == "win32": if sys.version_info >= (3, 10): def startfile( filepath: StrOrBytesPath, operation: str = ..., arguments: str = "", cwd: StrOrBytesPath | None = None, show_cmd: int = 1, ) -> None: ... else: def startfile(filepath: StrOrBytesPath, operation: str = ...) -> None: ... else: def spawnlp(mode: int, file: StrOrBytesPath, arg0: StrOrBytesPath, *args: StrOrBytesPath) -> int: ... def spawnlpe(mode: int, file: StrOrBytesPath, arg0: StrOrBytesPath, *args: Any) -> int: ... # Imprecise signature def spawnvp(mode: int, file: StrOrBytesPath, args: _ExecVArgs) -> int: ... def spawnvpe(mode: int, file: StrOrBytesPath, args: _ExecVArgs, env: _ExecEnv) -> int: ... def wait() -> tuple[int, int]: ... # Unix only # Added to MacOS in 3.13 if sys.platform != "darwin" or sys.version_info >= (3, 13): @final class waitid_result(structseq[int], tuple[int, int, int, int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ("si_pid", "si_uid", "si_signo", "si_status", "si_code") @property def si_pid(self) -> int: ... @property def si_uid(self) -> int: ... @property def si_signo(self) -> int: ... @property def si_status(self) -> int: ... @property def si_code(self) -> int: ... def waitid(idtype: int, ident: int, options: int, /) -> waitid_result | None: ... from resource import struct_rusage def wait3(options: int) -> tuple[int, int, struct_rusage]: ... def wait4(pid: int, options: int) -> tuple[int, int, struct_rusage]: ... def WCOREDUMP(status: int, /) -> bool: ... def WIFCONTINUED(status: int) -> bool: ... def WIFSTOPPED(status: int) -> bool: ... def WIFSIGNALED(status: int) -> bool: ... def WIFEXITED(status: int) -> bool: ... def WEXITSTATUS(status: int) -> int: ... def WSTOPSIG(status: int) -> int: ... def WTERMSIG(status: int) -> int: ... def posix_spawn( path: StrOrBytesPath, argv: _ExecVArgs, env: _ExecEnv, /, *, file_actions: Sequence[tuple[Any, ...]] | None = ..., setpgroup: int | None = ..., resetids: bool = ..., setsid: bool = ..., setsigmask: Iterable[int] = ..., setsigdef: Iterable[int] = ..., scheduler: tuple[Any, sched_param] | None = ..., ) -> int: ... def posix_spawnp( path: StrOrBytesPath, argv: _ExecVArgs, env: _ExecEnv, /, *, file_actions: Sequence[tuple[Any, ...]] | None = ..., setpgroup: int | None = ..., resetids: bool = ..., setsid: bool = ..., setsigmask: Iterable[int] = ..., setsigdef: Iterable[int] = ..., scheduler: tuple[Any, sched_param] | None = ..., ) -> int: ... POSIX_SPAWN_OPEN: Final = 0 POSIX_SPAWN_CLOSE: Final = 1 POSIX_SPAWN_DUP2: Final = 2 if sys.platform != "win32": @final class sched_param(structseq[int], tuple[int]): if sys.version_info >= (3, 10): __match_args__: Final = ("sched_priority",) def __new__(cls, sched_priority: int) -> Self: ... @property def sched_priority(self) -> int: ... def sched_get_priority_min(policy: int) -> int: ... # some flavors of Unix def sched_get_priority_max(policy: int) -> int: ... # some flavors of Unix def sched_yield() -> None: ... # some flavors of Unix if sys.platform != "darwin": def sched_setscheduler(pid: int, policy: int, param: sched_param, /) -> None: ... # some flavors of Unix def sched_getscheduler(pid: int, /) -> int: ... # some flavors of Unix def sched_rr_get_interval(pid: int, /) -> float: ... # some flavors of Unix def sched_setparam(pid: int, param: sched_param, /) -> None: ... # some flavors of Unix def sched_getparam(pid: int, /) -> sched_param: ... # some flavors of Unix def sched_setaffinity(pid: int, mask: Iterable[int], /) -> None: ... # some flavors of Unix def sched_getaffinity(pid: int, /) -> set[int]: ... # some flavors of Unix def cpu_count() -> int | None: ... if sys.version_info >= (3, 13): # Documented to return `int | None`, but falls back to `len(sched_getaffinity(0))` when # available. See https://github.com/python/cpython/blob/417c130/Lib/os.py#L1175-L1186. if sys.platform != "win32" and sys.platform != "darwin": def process_cpu_count() -> int: ... else: def process_cpu_count() -> int | None: ... if sys.platform != "win32": # Unix only def confstr(name: str | int, /) -> str | None: ... def getloadavg() -> tuple[float, float, float]: ... def sysconf(name: str | int, /) -> int: ... if sys.platform == "linux": def getrandom(size: int, flags: int = 0) -> bytes: ... def urandom(size: int, /) -> bytes: ... if sys.platform != "win32": def register_at_fork( *, before: Callable[..., Any] | None = ..., after_in_parent: Callable[..., Any] | None = ..., after_in_child: Callable[..., Any] | None = ..., ) -> None: ... if sys.platform == "win32": class _AddedDllDirectory: path: str | None def __init__(self, path: str | None, cookie: _T, remove_dll_directory: Callable[[_T], object]) -> None: ... def close(self) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def add_dll_directory(path: str) -> _AddedDllDirectory: ... if sys.platform == "linux": MFD_CLOEXEC: Final[int] MFD_ALLOW_SEALING: Final[int] MFD_HUGETLB: Final[int] MFD_HUGE_SHIFT: Final[int] MFD_HUGE_MASK: Final[int] MFD_HUGE_64KB: Final[int] MFD_HUGE_512KB: Final[int] MFD_HUGE_1MB: Final[int] MFD_HUGE_2MB: Final[int] MFD_HUGE_8MB: Final[int] MFD_HUGE_16MB: Final[int] MFD_HUGE_32MB: Final[int] MFD_HUGE_256MB: Final[int] MFD_HUGE_512MB: Final[int] MFD_HUGE_1GB: Final[int] MFD_HUGE_2GB: Final[int] MFD_HUGE_16GB: Final[int] def memfd_create(name: str, flags: int = ...) -> int: ... def copy_file_range(src: int, dst: int, count: int, offset_src: int | None = ..., offset_dst: int | None = ...) -> int: ... def waitstatus_to_exitcode(status: int) -> int: ... if sys.platform == "linux": def pidfd_open(pid: int, flags: int = ...) -> int: ... if sys.version_info >= (3, 12) and sys.platform == "linux": PIDFD_NONBLOCK: Final = 2048 if sys.version_info >= (3, 12) and sys.platform == "win32": def listdrives() -> list[str]: ... def listmounts(volume: str) -> list[str]: ... def listvolumes() -> list[str]: ... if sys.version_info >= (3, 10) and sys.platform == "linux": EFD_CLOEXEC: Final[int] EFD_NONBLOCK: Final[int] EFD_SEMAPHORE: Final[int] SPLICE_F_MORE: Final[int] SPLICE_F_MOVE: Final[int] SPLICE_F_NONBLOCK: Final[int] def eventfd(initval: int, flags: int = 524288) -> FileDescriptor: ... def eventfd_read(fd: FileDescriptor) -> int: ... def eventfd_write(fd: FileDescriptor, value: int) -> None: ... def splice( src: FileDescriptor, dst: FileDescriptor, count: int, offset_src: int | None = ..., offset_dst: int | None = ..., flags: int = 0, ) -> int: ... if sys.version_info >= (3, 12) and sys.platform == "linux": CLONE_FILES: Final[int] CLONE_FS: Final[int] CLONE_NEWCGROUP: Final[int] # Linux 4.6+ CLONE_NEWIPC: Final[int] # Linux 2.6.19+ CLONE_NEWNET: Final[int] # Linux 2.6.24+ CLONE_NEWNS: Final[int] CLONE_NEWPID: Final[int] # Linux 3.8+ CLONE_NEWTIME: Final[int] # Linux 5.6+ CLONE_NEWUSER: Final[int] # Linux 3.8+ CLONE_NEWUTS: Final[int] # Linux 2.6.19+ CLONE_SIGHAND: Final[int] CLONE_SYSVSEM: Final[int] # Linux 2.6.26+ CLONE_THREAD: Final[int] CLONE_VM: Final[int] def unshare(flags: int) -> None: ... def setns(fd: FileDescriptorLike, nstype: int = 0) -> None: ... if sys.version_info >= (3, 13) and sys.platform != "win32": def posix_openpt(oflag: int, /) -> int: ... def grantpt(fd: FileDescriptorLike, /) -> None: ... def unlockpt(fd: FileDescriptorLike, /) -> None: ... def ptsname(fd: FileDescriptorLike, /) -> str: ... if sys.version_info >= (3, 13) and sys.platform == "linux": TFD_TIMER_ABSTIME: Final = 1 TFD_TIMER_CANCEL_ON_SET: Final = 2 TFD_NONBLOCK: Final[int] TFD_CLOEXEC: Final[int] POSIX_SPAWN_CLOSEFROM: Final[int] def timerfd_create(clockid: int, /, *, flags: int = 0) -> int: ... def timerfd_settime( fd: FileDescriptor, /, *, flags: int = 0, initial: float = 0.0, interval: float = 0.0 ) -> tuple[float, float]: ... def timerfd_settime_ns(fd: FileDescriptor, /, *, flags: int = 0, initial: int = 0, interval: int = 0) -> tuple[int, int]: ... def timerfd_gettime(fd: FileDescriptor, /) -> tuple[float, float]: ... def timerfd_gettime_ns(fd: FileDescriptor, /) -> tuple[int, int]: ... if sys.version_info >= (3, 13) or sys.platform != "win32": # Added to Windows in 3.13. def fchmod(fd: int, mode: int) -> None: ... if sys.platform != "linux": if sys.version_info >= (3, 13) or sys.platform != "win32": # Added to Windows in 3.13. def lchmod(path: StrOrBytesPath, mode: int) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/os/path.pyi0000644000175100017510000000027215112307767020464 0ustar00runnerrunnerimport sys if sys.platform == "win32": from ntpath import * from ntpath import __all__ as __all__ else: from posixpath import * from posixpath import __all__ as __all__ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ossaudiodev.pyi0000644000175100017510000001047115112307767021436 0ustar00runnerrunnerimport sys from typing import Any, Final, Literal, overload if sys.platform != "win32" and sys.platform != "darwin": # Depends on soundcard.h AFMT_AC3: Final[int] AFMT_A_LAW: Final[int] AFMT_IMA_ADPCM: Final[int] AFMT_MPEG: Final[int] AFMT_MU_LAW: Final[int] AFMT_QUERY: Final[int] AFMT_S16_BE: Final[int] AFMT_S16_LE: Final[int] AFMT_S16_NE: Final[int] AFMT_S8: Final[int] AFMT_U16_BE: Final[int] AFMT_U16_LE: Final[int] AFMT_U8: Final[int] SNDCTL_COPR_HALT: Final[int] SNDCTL_COPR_LOAD: Final[int] SNDCTL_COPR_RCODE: Final[int] SNDCTL_COPR_RCVMSG: Final[int] SNDCTL_COPR_RDATA: Final[int] SNDCTL_COPR_RESET: Final[int] SNDCTL_COPR_RUN: Final[int] SNDCTL_COPR_SENDMSG: Final[int] SNDCTL_COPR_WCODE: Final[int] SNDCTL_COPR_WDATA: Final[int] SNDCTL_DSP_BIND_CHANNEL: Final[int] SNDCTL_DSP_CHANNELS: Final[int] SNDCTL_DSP_GETBLKSIZE: Final[int] SNDCTL_DSP_GETCAPS: Final[int] SNDCTL_DSP_GETCHANNELMASK: Final[int] SNDCTL_DSP_GETFMTS: Final[int] SNDCTL_DSP_GETIPTR: Final[int] SNDCTL_DSP_GETISPACE: Final[int] SNDCTL_DSP_GETODELAY: Final[int] SNDCTL_DSP_GETOPTR: Final[int] SNDCTL_DSP_GETOSPACE: Final[int] SNDCTL_DSP_GETSPDIF: Final[int] SNDCTL_DSP_GETTRIGGER: Final[int] SNDCTL_DSP_MAPINBUF: Final[int] SNDCTL_DSP_MAPOUTBUF: Final[int] SNDCTL_DSP_NONBLOCK: Final[int] SNDCTL_DSP_POST: Final[int] SNDCTL_DSP_PROFILE: Final[int] SNDCTL_DSP_RESET: Final[int] SNDCTL_DSP_SAMPLESIZE: Final[int] SNDCTL_DSP_SETDUPLEX: Final[int] SNDCTL_DSP_SETFMT: Final[int] SNDCTL_DSP_SETFRAGMENT: Final[int] SNDCTL_DSP_SETSPDIF: Final[int] SNDCTL_DSP_SETSYNCRO: Final[int] SNDCTL_DSP_SETTRIGGER: Final[int] SNDCTL_DSP_SPEED: Final[int] SNDCTL_DSP_STEREO: Final[int] SNDCTL_DSP_SUBDIVIDE: Final[int] SNDCTL_DSP_SYNC: Final[int] SNDCTL_FM_4OP_ENABLE: Final[int] SNDCTL_FM_LOAD_INSTR: Final[int] SNDCTL_MIDI_INFO: Final[int] SNDCTL_MIDI_MPUCMD: Final[int] SNDCTL_MIDI_MPUMODE: Final[int] SNDCTL_MIDI_PRETIME: Final[int] SNDCTL_SEQ_CTRLRATE: Final[int] SNDCTL_SEQ_GETINCOUNT: Final[int] SNDCTL_SEQ_GETOUTCOUNT: Final[int] SNDCTL_SEQ_GETTIME: Final[int] SNDCTL_SEQ_NRMIDIS: Final[int] SNDCTL_SEQ_NRSYNTHS: Final[int] SNDCTL_SEQ_OUTOFBAND: Final[int] SNDCTL_SEQ_PANIC: Final[int] SNDCTL_SEQ_PERCMODE: Final[int] SNDCTL_SEQ_RESET: Final[int] SNDCTL_SEQ_RESETSAMPLES: Final[int] SNDCTL_SEQ_SYNC: Final[int] SNDCTL_SEQ_TESTMIDI: Final[int] SNDCTL_SEQ_THRESHOLD: Final[int] SNDCTL_SYNTH_CONTROL: Final[int] SNDCTL_SYNTH_ID: Final[int] SNDCTL_SYNTH_INFO: Final[int] SNDCTL_SYNTH_MEMAVL: Final[int] SNDCTL_SYNTH_REMOVESAMPLE: Final[int] SNDCTL_TMR_CONTINUE: Final[int] SNDCTL_TMR_METRONOME: Final[int] SNDCTL_TMR_SELECT: Final[int] SNDCTL_TMR_SOURCE: Final[int] SNDCTL_TMR_START: Final[int] SNDCTL_TMR_STOP: Final[int] SNDCTL_TMR_TEMPO: Final[int] SNDCTL_TMR_TIMEBASE: Final[int] SOUND_MIXER_ALTPCM: Final[int] SOUND_MIXER_BASS: Final[int] SOUND_MIXER_CD: Final[int] SOUND_MIXER_DIGITAL1: Final[int] SOUND_MIXER_DIGITAL2: Final[int] SOUND_MIXER_DIGITAL3: Final[int] SOUND_MIXER_IGAIN: Final[int] SOUND_MIXER_IMIX: Final[int] SOUND_MIXER_LINE: Final[int] SOUND_MIXER_LINE1: Final[int] SOUND_MIXER_LINE2: Final[int] SOUND_MIXER_LINE3: Final[int] SOUND_MIXER_MIC: Final[int] SOUND_MIXER_MONITOR: Final[int] SOUND_MIXER_NRDEVICES: Final[int] SOUND_MIXER_OGAIN: Final[int] SOUND_MIXER_PCM: Final[int] SOUND_MIXER_PHONEIN: Final[int] SOUND_MIXER_PHONEOUT: Final[int] SOUND_MIXER_RADIO: Final[int] SOUND_MIXER_RECLEV: Final[int] SOUND_MIXER_SPEAKER: Final[int] SOUND_MIXER_SYNTH: Final[int] SOUND_MIXER_TREBLE: Final[int] SOUND_MIXER_VIDEO: Final[int] SOUND_MIXER_VOLUME: Final[int] control_labels: list[str] control_names: list[str] # TODO: oss_audio_device return type @overload def open(mode: Literal["r", "w", "rw"]) -> Any: ... @overload def open(device: str, mode: Literal["r", "w", "rw"]) -> Any: ... # TODO: oss_mixer_device return type def openmixer(device: str = ...) -> Any: ... class OSSAudioError(Exception): ... error = OSSAudioError ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/parser.pyi0000644000175100017510000000211415112307767020400 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath from collections.abc import Sequence from types import CodeType from typing import Any, ClassVar, final def expr(source: str) -> STType: ... def suite(source: str) -> STType: ... def sequence2st(sequence: Sequence[Any]) -> STType: ... def tuple2st(sequence: Sequence[Any]) -> STType: ... def st2list(st: STType, line_info: bool = False, col_info: bool = False) -> list[Any]: ... def st2tuple(st: STType, line_info: bool = False, col_info: bool = False) -> tuple[Any, ...]: ... def compilest(st: STType, filename: StrOrBytesPath = ...) -> CodeType: ... def isexpr(st: STType) -> bool: ... def issuite(st: STType) -> bool: ... class ParserError(Exception): ... @final class STType: __hash__: ClassVar[None] # type: ignore[assignment] def compile(self, filename: StrOrBytesPath = ...) -> CodeType: ... def isexpr(self) -> bool: ... def issuite(self) -> bool: ... def tolist(self, line_info: bool = False, col_info: bool = False) -> list[Any]: ... def totuple(self, line_info: bool = False, col_info: bool = False) -> tuple[Any, ...]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6077657 mypy-1.19.0/mypy/typeshed/stdlib/pathlib/0000755000175100017510000000000015112310012017757 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pathlib/__init__.pyi0000644000175100017510000003342015112307767022272 0ustar00runnerrunnerimport sys import types from _typeshed import ( OpenBinaryMode, OpenBinaryModeReading, OpenBinaryModeUpdating, OpenBinaryModeWriting, OpenTextMode, ReadableBuffer, StrOrBytesPath, StrPath, Unused, ) from collections.abc import Callable, Generator, Iterator, Sequence from io import BufferedRandom, BufferedReader, BufferedWriter, FileIO, TextIOWrapper from os import PathLike, stat_result from types import GenericAlias, TracebackType from typing import IO, Any, BinaryIO, ClassVar, Literal, TypeVar, overload from typing_extensions import Never, Self, deprecated _PathT = TypeVar("_PathT", bound=PurePath) __all__ = ["PurePath", "PurePosixPath", "PureWindowsPath", "Path", "PosixPath", "WindowsPath"] if sys.version_info >= (3, 14): from pathlib.types import PathInfo if sys.version_info >= (3, 13): __all__ += ["UnsupportedOperation"] class PurePath(PathLike[str]): if sys.version_info >= (3, 13): __slots__ = ( "_raw_paths", "_drv", "_root", "_tail_cached", "_str", "_str_normcase_cached", "_parts_normcase_cached", "_hash", ) elif sys.version_info >= (3, 12): __slots__ = ( "_raw_paths", "_drv", "_root", "_tail_cached", "_str", "_str_normcase_cached", "_parts_normcase_cached", "_lines_cached", "_hash", ) else: __slots__ = ("_drv", "_root", "_parts", "_str", "_hash", "_pparts", "_cached_cparts") if sys.version_info >= (3, 13): parser: ClassVar[types.ModuleType] def full_match(self, pattern: StrPath, *, case_sensitive: bool | None = None) -> bool: ... @property def parts(self) -> tuple[str, ...]: ... @property def drive(self) -> str: ... @property def root(self) -> str: ... @property def anchor(self) -> str: ... @property def name(self) -> str: ... @property def suffix(self) -> str: ... @property def suffixes(self) -> list[str]: ... @property def stem(self) -> str: ... if sys.version_info >= (3, 12): def __new__(cls, *args: StrPath, **kwargs: Unused) -> Self: ... def __init__(self, *args: StrPath) -> None: ... # pyright: ignore[reportInconsistentConstructor] else: def __new__(cls, *args: StrPath) -> Self: ... def __hash__(self) -> int: ... def __fspath__(self) -> str: ... def __lt__(self, other: PurePath) -> bool: ... def __le__(self, other: PurePath) -> bool: ... def __gt__(self, other: PurePath) -> bool: ... def __ge__(self, other: PurePath) -> bool: ... def __truediv__(self, key: StrPath) -> Self: ... def __rtruediv__(self, key: StrPath) -> Self: ... def __bytes__(self) -> bytes: ... def as_posix(self) -> str: ... def as_uri(self) -> str: ... def is_absolute(self) -> bool: ... if sys.version_info >= (3, 13): @deprecated( "Deprecated since Python 3.13; will be removed in Python 3.15. " "Use `os.path.isreserved()` to detect reserved paths on Windows." ) def is_reserved(self) -> bool: ... else: def is_reserved(self) -> bool: ... if sys.version_info >= (3, 14): def is_relative_to(self, other: StrPath) -> bool: ... elif sys.version_info >= (3, 12): def is_relative_to(self, other: StrPath, /, *_deprecated: StrPath) -> bool: ... else: def is_relative_to(self, *other: StrPath) -> bool: ... if sys.version_info >= (3, 12): def match(self, path_pattern: str, *, case_sensitive: bool | None = None) -> bool: ... else: def match(self, path_pattern: str) -> bool: ... if sys.version_info >= (3, 14): def relative_to(self, other: StrPath, *, walk_up: bool = False) -> Self: ... elif sys.version_info >= (3, 12): def relative_to(self, other: StrPath, /, *_deprecated: StrPath, walk_up: bool = False) -> Self: ... else: def relative_to(self, *other: StrPath) -> Self: ... def with_name(self, name: str) -> Self: ... def with_stem(self, stem: str) -> Self: ... def with_suffix(self, suffix: str) -> Self: ... def joinpath(self, *other: StrPath) -> Self: ... @property def parents(self) -> Sequence[Self]: ... @property def parent(self) -> Self: ... if sys.version_info < (3, 11): def __class_getitem__(cls, type: Any) -> GenericAlias: ... if sys.version_info >= (3, 12): def with_segments(self, *args: StrPath) -> Self: ... class PurePosixPath(PurePath): __slots__ = () class PureWindowsPath(PurePath): __slots__ = () class Path(PurePath): if sys.version_info >= (3, 14): __slots__ = ("_info",) elif sys.version_info >= (3, 10): __slots__ = () else: __slots__ = ("_accessor",) if sys.version_info >= (3, 12): def __new__(cls, *args: StrPath, **kwargs: Unused) -> Self: ... # pyright: ignore[reportInconsistentConstructor] else: def __new__(cls, *args: StrPath, **kwargs: Unused) -> Self: ... @classmethod def cwd(cls) -> Self: ... if sys.version_info >= (3, 10): def stat(self, *, follow_symlinks: bool = True) -> stat_result: ... def chmod(self, mode: int, *, follow_symlinks: bool = True) -> None: ... else: def stat(self) -> stat_result: ... def chmod(self, mode: int) -> None: ... if sys.version_info >= (3, 13): @classmethod def from_uri(cls, uri: str) -> Self: ... def is_dir(self, *, follow_symlinks: bool = True) -> bool: ... def is_file(self, *, follow_symlinks: bool = True) -> bool: ... def read_text(self, encoding: str | None = None, errors: str | None = None, newline: str | None = None) -> str: ... else: def __enter__(self) -> Self: ... def __exit__(self, t: type[BaseException] | None, v: BaseException | None, tb: TracebackType | None) -> None: ... def is_dir(self) -> bool: ... def is_file(self) -> bool: ... def read_text(self, encoding: str | None = None, errors: str | None = None) -> str: ... if sys.version_info >= (3, 13): def glob(self, pattern: str, *, case_sensitive: bool | None = None, recurse_symlinks: bool = False) -> Iterator[Self]: ... def rglob( self, pattern: str, *, case_sensitive: bool | None = None, recurse_symlinks: bool = False ) -> Iterator[Self]: ... elif sys.version_info >= (3, 12): def glob(self, pattern: str, *, case_sensitive: bool | None = None) -> Generator[Self, None, None]: ... def rglob(self, pattern: str, *, case_sensitive: bool | None = None) -> Generator[Self, None, None]: ... else: def glob(self, pattern: str) -> Generator[Self, None, None]: ... def rglob(self, pattern: str) -> Generator[Self, None, None]: ... if sys.version_info >= (3, 12): def exists(self, *, follow_symlinks: bool = True) -> bool: ... else: def exists(self) -> bool: ... def is_symlink(self) -> bool: ... def is_socket(self) -> bool: ... def is_fifo(self) -> bool: ... def is_block_device(self) -> bool: ... def is_char_device(self) -> bool: ... if sys.version_info >= (3, 12): def is_junction(self) -> bool: ... def iterdir(self) -> Generator[Self, None, None]: ... def lchmod(self, mode: int) -> None: ... def lstat(self) -> stat_result: ... def mkdir(self, mode: int = 0o777, parents: bool = False, exist_ok: bool = False) -> None: ... if sys.version_info >= (3, 14): @property def info(self) -> PathInfo: ... @overload def move_into(self, target_dir: _PathT) -> _PathT: ... # type: ignore[overload-overlap] @overload def move_into(self, target_dir: StrPath) -> Self: ... # type: ignore[overload-overlap] @overload def move(self, target: _PathT) -> _PathT: ... # type: ignore[overload-overlap] @overload def move(self, target: StrPath) -> Self: ... # type: ignore[overload-overlap] @overload def copy_into(self, target_dir: _PathT, *, follow_symlinks: bool = True, preserve_metadata: bool = False) -> _PathT: ... # type: ignore[overload-overlap] @overload def copy_into(self, target_dir: StrPath, *, follow_symlinks: bool = True, preserve_metadata: bool = False) -> Self: ... # type: ignore[overload-overlap] @overload def copy(self, target: _PathT, *, follow_symlinks: bool = True, preserve_metadata: bool = False) -> _PathT: ... # type: ignore[overload-overlap] @overload def copy(self, target: StrPath, *, follow_symlinks: bool = True, preserve_metadata: bool = False) -> Self: ... # type: ignore[overload-overlap] # Adapted from builtins.open # Text mode: always returns a TextIOWrapper # The Traversable .open in stdlib/importlib/abc.pyi should be kept in sync with this. @overload def open( self, mode: OpenTextMode = "r", buffering: int = -1, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... # Unbuffered binary mode: returns a FileIO @overload def open( self, mode: OpenBinaryMode, buffering: Literal[0], encoding: None = None, errors: None = None, newline: None = None ) -> FileIO: ... # Buffering is on: return BufferedRandom, BufferedReader, or BufferedWriter @overload def open( self, mode: OpenBinaryModeUpdating, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, ) -> BufferedRandom: ... @overload def open( self, mode: OpenBinaryModeWriting, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, ) -> BufferedWriter: ... @overload def open( self, mode: OpenBinaryModeReading, buffering: Literal[-1, 1] = -1, encoding: None = None, errors: None = None, newline: None = None, ) -> BufferedReader: ... # Buffering cannot be determined: fall back to BinaryIO @overload def open( self, mode: OpenBinaryMode, buffering: int = -1, encoding: None = None, errors: None = None, newline: None = None ) -> BinaryIO: ... # Fallback if mode is not specified @overload def open( self, mode: str, buffering: int = -1, encoding: str | None = None, errors: str | None = None, newline: str | None = None ) -> IO[Any]: ... # These methods do "exist" on Windows, but they always raise NotImplementedError. if sys.platform == "win32": if sys.version_info >= (3, 13): # raises UnsupportedOperation: def owner(self: Never, *, follow_symlinks: bool = True) -> str: ... # type: ignore[misc] def group(self: Never, *, follow_symlinks: bool = True) -> str: ... # type: ignore[misc] else: def owner(self: Never) -> str: ... # type: ignore[misc] def group(self: Never) -> str: ... # type: ignore[misc] else: if sys.version_info >= (3, 13): def owner(self, *, follow_symlinks: bool = True) -> str: ... def group(self, *, follow_symlinks: bool = True) -> str: ... else: def owner(self) -> str: ... def group(self) -> str: ... # This method does "exist" on Windows on <3.12, but always raises NotImplementedError # On py312+, it works properly on Windows, as with all other platforms if sys.platform == "win32" and sys.version_info < (3, 12): def is_mount(self: Never) -> bool: ... # type: ignore[misc] else: def is_mount(self) -> bool: ... def readlink(self) -> Self: ... if sys.version_info >= (3, 10): def rename(self, target: StrPath) -> Self: ... def replace(self, target: StrPath) -> Self: ... else: def rename(self, target: str | PurePath) -> Self: ... def replace(self, target: str | PurePath) -> Self: ... def resolve(self, strict: bool = False) -> Self: ... def rmdir(self) -> None: ... def symlink_to(self, target: StrOrBytesPath, target_is_directory: bool = False) -> None: ... if sys.version_info >= (3, 10): def hardlink_to(self, target: StrOrBytesPath) -> None: ... def touch(self, mode: int = 0o666, exist_ok: bool = True) -> None: ... def unlink(self, missing_ok: bool = False) -> None: ... @classmethod def home(cls) -> Self: ... def absolute(self) -> Self: ... def expanduser(self) -> Self: ... def read_bytes(self) -> bytes: ... def samefile(self, other_path: StrPath) -> bool: ... def write_bytes(self, data: ReadableBuffer) -> int: ... if sys.version_info >= (3, 10): def write_text( self, data: str, encoding: str | None = None, errors: str | None = None, newline: str | None = None ) -> int: ... else: def write_text(self, data: str, encoding: str | None = None, errors: str | None = None) -> int: ... if sys.version_info < (3, 12): if sys.version_info >= (3, 10): @deprecated("Deprecated since Python 3.10; removed in Python 3.12. Use `hardlink_to()` instead.") def link_to(self, target: StrOrBytesPath) -> None: ... else: def link_to(self, target: StrOrBytesPath) -> None: ... if sys.version_info >= (3, 12): def walk( self, top_down: bool = True, on_error: Callable[[OSError], object] | None = None, follow_symlinks: bool = False ) -> Iterator[tuple[Self, list[str], list[str]]]: ... class PosixPath(Path, PurePosixPath): __slots__ = () class WindowsPath(Path, PureWindowsPath): __slots__ = () if sys.version_info >= (3, 13): class UnsupportedOperation(NotImplementedError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pathlib/types.pyi0000644000175100017510000000051515112307767021676 0ustar00runnerrunnerfrom typing import Protocol, runtime_checkable @runtime_checkable class PathInfo(Protocol): def exists(self, *, follow_symlinks: bool = True) -> bool: ... def is_dir(self, *, follow_symlinks: bool = True) -> bool: ... def is_file(self, *, follow_symlinks: bool = True) -> bool: ... def is_symlink(self) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pdb.pyi0000644000175100017510000002460615112307767017663 0ustar00runnerrunnerimport signal import sys from bdb import Bdb, _Backend from cmd import Cmd from collections.abc import Callable, Iterable, Mapping, Sequence from inspect import _SourceObjectType from linecache import _ModuleGlobals from rlcompleter import Completer from types import CodeType, FrameType, TracebackType from typing import IO, Any, ClassVar, Final, Literal, TypeVar from typing_extensions import ParamSpec, Self, TypeAlias __all__ = ["run", "pm", "Pdb", "runeval", "runctx", "runcall", "set_trace", "post_mortem", "help"] if sys.version_info >= (3, 14): __all__ += ["set_default_backend", "get_default_backend"] _T = TypeVar("_T") _P = ParamSpec("_P") _Mode: TypeAlias = Literal["inline", "cli"] line_prefix: Final[str] # undocumented class Restart(Exception): ... def run(statement: str, globals: dict[str, Any] | None = None, locals: Mapping[str, Any] | None = None) -> None: ... def runeval(expression: str, globals: dict[str, Any] | None = None, locals: Mapping[str, Any] | None = None) -> Any: ... def runctx(statement: str, globals: dict[str, Any], locals: Mapping[str, Any]) -> None: ... def runcall(func: Callable[_P, _T], *args: _P.args, **kwds: _P.kwargs) -> _T | None: ... if sys.version_info >= (3, 14): def set_default_backend(backend: _Backend) -> None: ... def get_default_backend() -> _Backend: ... def set_trace(*, header: str | None = None, commands: Iterable[str] | None = None) -> None: ... async def set_trace_async(*, header: str | None = None, commands: Iterable[str] | None = None) -> None: ... else: def set_trace(*, header: str | None = None) -> None: ... def post_mortem(t: TracebackType | None = None) -> None: ... def pm() -> None: ... class Pdb(Bdb, Cmd): # Everything here is undocumented, except for __init__ commands_resuming: ClassVar[list[str]] if sys.version_info >= (3, 13): MAX_CHAINED_EXCEPTION_DEPTH: Final = 999 aliases: dict[str, str] mainpyfile: str _wait_for_mainpyfile: bool rcLines: list[str] commands: dict[int, list[str]] commands_doprompt: dict[int, bool] commands_silent: dict[int, bool] commands_defining: bool commands_bnum: int | None lineno: int | None stack: list[tuple[FrameType, int]] curindex: int curframe: FrameType | None curframe_locals: Mapping[str, Any] if sys.version_info >= (3, 14): mode: _Mode | None colorize: bool def __init__( self, completekey: str = "tab", stdin: IO[str] | None = None, stdout: IO[str] | None = None, skip: Iterable[str] | None = None, nosigint: bool = False, readrc: bool = True, mode: _Mode | None = None, backend: _Backend | None = None, colorize: bool = False, ) -> None: ... else: def __init__( self, completekey: str = "tab", stdin: IO[str] | None = None, stdout: IO[str] | None = None, skip: Iterable[str] | None = None, nosigint: bool = False, readrc: bool = True, ) -> None: ... if sys.version_info >= (3, 14): def set_trace(self, frame: FrameType | None = None, *, commands: Iterable[str] | None = None) -> None: ... async def set_trace_async(self, frame: FrameType | None = None, *, commands: Iterable[str] | None = None) -> None: ... def forget(self) -> None: ... def setup(self, f: FrameType | None, tb: TracebackType | None) -> None: ... if sys.version_info < (3, 11): def execRcLines(self) -> None: ... if sys.version_info >= (3, 13): user_opcode = Bdb.user_line def bp_commands(self, frame: FrameType) -> bool: ... if sys.version_info >= (3, 13): def interaction(self, frame: FrameType | None, tb_or_exc: TracebackType | BaseException | None) -> None: ... else: def interaction(self, frame: FrameType | None, traceback: TracebackType | None) -> None: ... def displayhook(self, obj: object) -> None: ... def handle_command_def(self, line: str) -> bool: ... def defaultFile(self) -> str: ... def lineinfo(self, identifier: str) -> tuple[None, None, None] | tuple[str, str, int]: ... if sys.version_info >= (3, 14): def checkline(self, filename: str, lineno: int, module_globals: _ModuleGlobals | None = None) -> int: ... else: def checkline(self, filename: str, lineno: int) -> int: ... def _getval(self, arg: str) -> object: ... if sys.version_info >= (3, 14): def print_stack_trace(self, count: int | None = None) -> None: ... else: def print_stack_trace(self) -> None: ... def print_stack_entry(self, frame_lineno: tuple[FrameType, int], prompt_prefix: str = "\n-> ") -> None: ... def lookupmodule(self, filename: str) -> str | None: ... if sys.version_info < (3, 11): def _runscript(self, filename: str) -> None: ... if sys.version_info >= (3, 14): def complete_multiline_names(self, text: str, line: str, begidx: int, endidx: int) -> list[str]: ... if sys.version_info >= (3, 13): def completedefault(self, text: str, line: str, begidx: int, endidx: int) -> list[str]: ... def do_commands(self, arg: str) -> bool | None: ... if sys.version_info >= (3, 14): def do_break(self, arg: str, temporary: bool = False) -> bool | None: ... else: def do_break(self, arg: str, temporary: bool | Literal[0, 1] = 0) -> bool | None: ... def do_tbreak(self, arg: str) -> bool | None: ... def do_enable(self, arg: str) -> bool | None: ... def do_disable(self, arg: str) -> bool | None: ... def do_condition(self, arg: str) -> bool | None: ... def do_ignore(self, arg: str) -> bool | None: ... def do_clear(self, arg: str) -> bool | None: ... def do_where(self, arg: str) -> bool | None: ... if sys.version_info >= (3, 13): def do_exceptions(self, arg: str) -> bool | None: ... def do_up(self, arg: str) -> bool | None: ... def do_down(self, arg: str) -> bool | None: ... def do_until(self, arg: str) -> bool | None: ... def do_step(self, arg: str) -> bool | None: ... def do_next(self, arg: str) -> bool | None: ... def do_run(self, arg: str) -> bool | None: ... def do_return(self, arg: str) -> bool | None: ... def do_continue(self, arg: str) -> bool | None: ... def do_jump(self, arg: str) -> bool | None: ... def do_debug(self, arg: str) -> bool | None: ... def do_quit(self, arg: str) -> bool | None: ... def do_EOF(self, arg: str) -> bool | None: ... def do_args(self, arg: str) -> bool | None: ... def do_retval(self, arg: str) -> bool | None: ... def do_p(self, arg: str) -> bool | None: ... def do_pp(self, arg: str) -> bool | None: ... def do_list(self, arg: str) -> bool | None: ... def do_whatis(self, arg: str) -> bool | None: ... def do_alias(self, arg: str) -> bool | None: ... def do_unalias(self, arg: str) -> bool | None: ... def do_help(self, arg: str) -> bool | None: ... do_b = do_break do_cl = do_clear do_w = do_where do_bt = do_where do_u = do_up do_d = do_down do_unt = do_until do_s = do_step do_n = do_next do_restart = do_run do_r = do_return do_c = do_continue do_cont = do_continue do_j = do_jump do_q = do_quit do_exit = do_quit do_a = do_args do_rv = do_retval do_l = do_list do_h = do_help def help_exec(self) -> None: ... def help_pdb(self) -> None: ... def sigint_handler(self, signum: signal.Signals, frame: FrameType) -> None: ... if sys.version_info >= (3, 13): def message(self, msg: str, end: str = "\n") -> None: ... else: def message(self, msg: str) -> None: ... def error(self, msg: str) -> None: ... if sys.version_info >= (3, 13): def completenames(self, text: str, line: str, begidx: int, endidx: int) -> list[str]: ... # type: ignore[override] if sys.version_info >= (3, 12): def set_convenience_variable(self, frame: FrameType, name: str, value: Any) -> None: ... if sys.version_info >= (3, 13) and sys.version_info < (3, 14): # Added in 3.13.8. @property def rlcompleter(self) -> type[Completer]: ... def _select_frame(self, number: int) -> None: ... def _getval_except(self, arg: str, frame: FrameType | None = None) -> object: ... def _print_lines( self, lines: Sequence[str], start: int, breaks: Sequence[int] = (), frame: FrameType | None = None ) -> None: ... def _cmdloop(self) -> None: ... def do_display(self, arg: str) -> bool | None: ... def do_interact(self, arg: str) -> bool | None: ... def do_longlist(self, arg: str) -> bool | None: ... def do_source(self, arg: str) -> bool | None: ... def do_undisplay(self, arg: str) -> bool | None: ... do_ll = do_longlist def _complete_location(self, text: str, line: str, begidx: int, endidx: int) -> list[str]: ... def _complete_bpnumber(self, text: str, line: str, begidx: int, endidx: int) -> list[str]: ... def _complete_expression(self, text: str, line: str, begidx: int, endidx: int) -> list[str]: ... def complete_undisplay(self, text: str, line: str, begidx: int, endidx: int) -> list[str]: ... def complete_unalias(self, text: str, line: str, begidx: int, endidx: int) -> list[str]: ... complete_commands = _complete_bpnumber complete_break = _complete_location complete_b = _complete_location complete_tbreak = _complete_location complete_enable = _complete_bpnumber complete_disable = _complete_bpnumber complete_condition = _complete_bpnumber complete_ignore = _complete_bpnumber complete_clear = _complete_location complete_cl = _complete_location complete_debug = _complete_expression complete_print = _complete_expression complete_p = _complete_expression complete_pp = _complete_expression complete_source = _complete_expression complete_whatis = _complete_expression complete_display = _complete_expression if sys.version_info < (3, 11): def _runmodule(self, module_name: str) -> None: ... # undocumented def find_function(funcname: str, filename: str) -> tuple[str, str, int] | None: ... def main() -> None: ... def help() -> None: ... if sys.version_info < (3, 10): def getsourcelines(obj: _SourceObjectType) -> tuple[list[str], int]: ... def lasti2lineno(code: CodeType, lasti: int) -> int: ... class _rstr(str): def __repr__(self) -> Self: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pickle.pyi0000644000175100017510000001214515112307767020360 0ustar00runnerrunnerfrom _pickle import ( PickleError as PickleError, Pickler as Pickler, PicklingError as PicklingError, Unpickler as Unpickler, UnpicklingError as UnpicklingError, _BufferCallback, _ReadableFileobj, _ReducedType, dump as dump, dumps as dumps, load as load, loads as loads, ) from _typeshed import ReadableBuffer, SupportsWrite from collections.abc import Callable, Iterable, Mapping from typing import Any, ClassVar, Final, SupportsBytes, SupportsIndex, final from typing_extensions import Self __all__ = [ "PickleBuffer", "PickleError", "PicklingError", "UnpicklingError", "Pickler", "Unpickler", "dump", "dumps", "load", "loads", "ADDITEMS", "APPEND", "APPENDS", "BINBYTES", "BINBYTES8", "BINFLOAT", "BINGET", "BININT", "BININT1", "BININT2", "BINPERSID", "BINPUT", "BINSTRING", "BINUNICODE", "BINUNICODE8", "BUILD", "BYTEARRAY8", "DEFAULT_PROTOCOL", "DICT", "DUP", "EMPTY_DICT", "EMPTY_LIST", "EMPTY_SET", "EMPTY_TUPLE", "EXT1", "EXT2", "EXT4", "FALSE", "FLOAT", "FRAME", "FROZENSET", "GET", "GLOBAL", "HIGHEST_PROTOCOL", "INST", "INT", "LIST", "LONG", "LONG1", "LONG4", "LONG_BINGET", "LONG_BINPUT", "MARK", "MEMOIZE", "NEWFALSE", "NEWOBJ", "NEWOBJ_EX", "NEWTRUE", "NEXT_BUFFER", "NONE", "OBJ", "PERSID", "POP", "POP_MARK", "PROTO", "PUT", "READONLY_BUFFER", "REDUCE", "SETITEM", "SETITEMS", "SHORT_BINBYTES", "SHORT_BINSTRING", "SHORT_BINUNICODE", "STACK_GLOBAL", "STOP", "STRING", "TRUE", "TUPLE", "TUPLE1", "TUPLE2", "TUPLE3", "UNICODE", ] HIGHEST_PROTOCOL: Final = 5 DEFAULT_PROTOCOL: Final = 5 bytes_types: tuple[type[Any], ...] # undocumented @final class PickleBuffer: def __new__(cls, buffer: ReadableBuffer) -> Self: ... def raw(self) -> memoryview: ... def release(self) -> None: ... def __buffer__(self, flags: int, /) -> memoryview: ... def __release_buffer__(self, buffer: memoryview, /) -> None: ... MARK: Final = b"(" STOP: Final = b"." POP: Final = b"0" POP_MARK: Final = b"1" DUP: Final = b"2" FLOAT: Final = b"F" INT: Final = b"I" BININT: Final = b"J" BININT1: Final = b"K" LONG: Final = b"L" BININT2: Final = b"M" NONE: Final = b"N" PERSID: Final = b"P" BINPERSID: Final = b"Q" REDUCE: Final = b"R" STRING: Final = b"S" BINSTRING: Final = b"T" SHORT_BINSTRING: Final = b"U" UNICODE: Final = b"V" BINUNICODE: Final = b"X" APPEND: Final = b"a" BUILD: Final = b"b" GLOBAL: Final = b"c" DICT: Final = b"d" EMPTY_DICT: Final = b"}" APPENDS: Final = b"e" GET: Final = b"g" BINGET: Final = b"h" INST: Final = b"i" LONG_BINGET: Final = b"j" LIST: Final = b"l" EMPTY_LIST: Final = b"]" OBJ: Final = b"o" PUT: Final = b"p" BINPUT: Final = b"q" LONG_BINPUT: Final = b"r" SETITEM: Final = b"s" TUPLE: Final = b"t" EMPTY_TUPLE: Final = b")" SETITEMS: Final = b"u" BINFLOAT: Final = b"G" TRUE: Final = b"I01\n" FALSE: Final = b"I00\n" # protocol 2 PROTO: Final = b"\x80" NEWOBJ: Final = b"\x81" EXT1: Final = b"\x82" EXT2: Final = b"\x83" EXT4: Final = b"\x84" TUPLE1: Final = b"\x85" TUPLE2: Final = b"\x86" TUPLE3: Final = b"\x87" NEWTRUE: Final = b"\x88" NEWFALSE: Final = b"\x89" LONG1: Final = b"\x8a" LONG4: Final = b"\x8b" # protocol 3 BINBYTES: Final = b"B" SHORT_BINBYTES: Final = b"C" # protocol 4 SHORT_BINUNICODE: Final = b"\x8c" BINUNICODE8: Final = b"\x8d" BINBYTES8: Final = b"\x8e" EMPTY_SET: Final = b"\x8f" ADDITEMS: Final = b"\x90" FROZENSET: Final = b"\x91" NEWOBJ_EX: Final = b"\x92" STACK_GLOBAL: Final = b"\x93" MEMOIZE: Final = b"\x94" FRAME: Final = b"\x95" # protocol 5 BYTEARRAY8: Final = b"\x96" NEXT_BUFFER: Final = b"\x97" READONLY_BUFFER: Final = b"\x98" def encode_long(x: int) -> bytes: ... # undocumented def decode_long(data: Iterable[SupportsIndex] | SupportsBytes | ReadableBuffer) -> int: ... # undocumented # undocumented pure-Python implementations class _Pickler: fast: bool dispatch_table: Mapping[type, Callable[[Any], _ReducedType]] bin: bool # undocumented dispatch: ClassVar[dict[type, Callable[[Unpickler, Any], None]]] # undocumented, _Pickler only reducer_override: Callable[[Any], Any] def __init__( self, file: SupportsWrite[bytes], protocol: int | None = None, *, fix_imports: bool = True, buffer_callback: _BufferCallback = None, ) -> None: ... def dump(self, obj: Any) -> None: ... def clear_memo(self) -> None: ... def persistent_id(self, obj: Any) -> Any: ... class _Unpickler: dispatch: ClassVar[dict[int, Callable[[Unpickler], None]]] # undocumented, _Unpickler only def __init__( self, file: _ReadableFileobj, *, fix_imports: bool = True, encoding: str = "ASCII", errors: str = "strict", buffers: Iterable[Any] | None = None, ) -> None: ... def load(self) -> Any: ... def find_class(self, module: str, name: str) -> Any: ... def persistent_load(self, pid: Any) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pickletools.pyi0000644000175100017510000001021015112307767021430 0ustar00runnerrunnerimport sys from collections.abc import Callable, Iterator, MutableMapping from typing import IO, Any, Final from typing_extensions import TypeAlias __all__ = ["dis", "genops", "optimize"] _Reader: TypeAlias = Callable[[IO[bytes]], Any] bytes_types: tuple[type[Any], ...] UP_TO_NEWLINE: Final = -1 TAKEN_FROM_ARGUMENT1: Final = -2 TAKEN_FROM_ARGUMENT4: Final = -3 TAKEN_FROM_ARGUMENT4U: Final = -4 TAKEN_FROM_ARGUMENT8U: Final = -5 class ArgumentDescriptor: __slots__ = ("name", "n", "reader", "doc") name: str n: int reader: _Reader doc: str def __init__(self, name: str, n: int, reader: _Reader, doc: str) -> None: ... def read_uint1(f: IO[bytes]) -> int: ... uint1: ArgumentDescriptor def read_uint2(f: IO[bytes]) -> int: ... uint2: ArgumentDescriptor def read_int4(f: IO[bytes]) -> int: ... int4: ArgumentDescriptor def read_uint4(f: IO[bytes]) -> int: ... uint4: ArgumentDescriptor def read_uint8(f: IO[bytes]) -> int: ... uint8: ArgumentDescriptor if sys.version_info >= (3, 12): def read_stringnl( f: IO[bytes], decode: bool = True, stripquotes: bool = True, *, encoding: str = "latin-1" ) -> bytes | str: ... else: def read_stringnl(f: IO[bytes], decode: bool = True, stripquotes: bool = True) -> bytes | str: ... stringnl: ArgumentDescriptor def read_stringnl_noescape(f: IO[bytes]) -> str: ... stringnl_noescape: ArgumentDescriptor def read_stringnl_noescape_pair(f: IO[bytes]) -> str: ... stringnl_noescape_pair: ArgumentDescriptor def read_string1(f: IO[bytes]) -> str: ... string1: ArgumentDescriptor def read_string4(f: IO[bytes]) -> str: ... string4: ArgumentDescriptor def read_bytes1(f: IO[bytes]) -> bytes: ... bytes1: ArgumentDescriptor def read_bytes4(f: IO[bytes]) -> bytes: ... bytes4: ArgumentDescriptor def read_bytes8(f: IO[bytes]) -> bytes: ... bytes8: ArgumentDescriptor def read_unicodestringnl(f: IO[bytes]) -> str: ... unicodestringnl: ArgumentDescriptor def read_unicodestring1(f: IO[bytes]) -> str: ... unicodestring1: ArgumentDescriptor def read_unicodestring4(f: IO[bytes]) -> str: ... unicodestring4: ArgumentDescriptor def read_unicodestring8(f: IO[bytes]) -> str: ... unicodestring8: ArgumentDescriptor def read_decimalnl_short(f: IO[bytes]) -> int: ... def read_decimalnl_long(f: IO[bytes]) -> int: ... decimalnl_short: ArgumentDescriptor decimalnl_long: ArgumentDescriptor def read_floatnl(f: IO[bytes]) -> float: ... floatnl: ArgumentDescriptor def read_float8(f: IO[bytes]) -> float: ... float8: ArgumentDescriptor def read_long1(f: IO[bytes]) -> int: ... long1: ArgumentDescriptor def read_long4(f: IO[bytes]) -> int: ... long4: ArgumentDescriptor class StackObject: __slots__ = ("name", "obtype", "doc") name: str obtype: type[Any] | tuple[type[Any], ...] doc: str def __init__(self, name: str, obtype: type[Any] | tuple[type[Any], ...], doc: str) -> None: ... pyint: StackObject pylong: StackObject pyinteger_or_bool: StackObject pybool: StackObject pyfloat: StackObject pybytes_or_str: StackObject pystring: StackObject pybytes: StackObject pyunicode: StackObject pynone: StackObject pytuple: StackObject pylist: StackObject pydict: StackObject pyset: StackObject pyfrozenset: StackObject anyobject: StackObject markobject: StackObject stackslice: StackObject class OpcodeInfo: __slots__ = ("name", "code", "arg", "stack_before", "stack_after", "proto", "doc") name: str code: str arg: ArgumentDescriptor | None stack_before: list[StackObject] stack_after: list[StackObject] proto: int doc: str def __init__( self, name: str, code: str, arg: ArgumentDescriptor | None, stack_before: list[StackObject], stack_after: list[StackObject], proto: int, doc: str, ) -> None: ... opcodes: list[OpcodeInfo] def genops(pickle: bytes | bytearray | IO[bytes]) -> Iterator[tuple[OpcodeInfo, Any | None, int | None]]: ... def optimize(p: bytes | bytearray | IO[bytes]) -> bytes: ... def dis( pickle: bytes | bytearray | IO[bytes], out: IO[str] | None = None, memo: MutableMapping[int, Any] | None = None, indentlevel: int = 4, annotate: int = 0, ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pipes.pyi0000644000175100017510000000076615112307767020237 0ustar00runnerrunnerimport os __all__ = ["Template"] class Template: def reset(self) -> None: ... def clone(self) -> Template: ... def debug(self, flag: bool) -> None: ... def append(self, cmd: str, kind: str) -> None: ... def prepend(self, cmd: str, kind: str) -> None: ... def open(self, file: str, rw: str) -> os._wrap_close: ... def copy(self, infile: str, outfile: str) -> int: ... # Not documented, but widely used. # Documented as shlex.quote since 3.3. def quote(s: str) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pkgutil.pyi0000644000175100017510000000503715112307767020572 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath, SupportsRead from _typeshed.importlib import LoaderProtocol, MetaPathFinderProtocol, PathEntryFinderProtocol from collections.abc import Callable, Iterable, Iterator from typing import IO, Any, NamedTuple, TypeVar from typing_extensions import deprecated __all__ = [ "get_importer", "iter_importers", "walk_packages", "iter_modules", "get_data", "read_code", "extend_path", "ModuleInfo", ] if sys.version_info < (3, 14): __all__ += ["get_loader", "find_loader"] if sys.version_info < (3, 12): __all__ += ["ImpImporter", "ImpLoader"] _PathT = TypeVar("_PathT", bound=Iterable[str]) class ModuleInfo(NamedTuple): module_finder: MetaPathFinderProtocol | PathEntryFinderProtocol name: str ispkg: bool def extend_path(path: _PathT, name: str) -> _PathT: ... if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.3; removed in Python 3.12. Use the `importlib` module instead.") class ImpImporter: def __init__(self, path: StrOrBytesPath | None = None) -> None: ... @deprecated("Deprecated since Python 3.3; removed in Python 3.12. Use the `importlib` module instead.") class ImpLoader: def __init__(self, fullname: str, file: IO[str], filename: StrOrBytesPath, etc: tuple[str, str, int]) -> None: ... if sys.version_info < (3, 14): if sys.version_info >= (3, 12): @deprecated("Deprecated since Python 3.12; removed in Python 3.14. Use `importlib.util.find_spec()` instead.") def find_loader(fullname: str) -> LoaderProtocol | None: ... @deprecated("Deprecated since Python 3.12; removed in Python 3.14. Use `importlib.util.find_spec()` instead.") def get_loader(module_or_name: str) -> LoaderProtocol | None: ... else: def find_loader(fullname: str) -> LoaderProtocol | None: ... def get_loader(module_or_name: str) -> LoaderProtocol | None: ... def get_importer(path_item: StrOrBytesPath) -> PathEntryFinderProtocol | None: ... def iter_importers(fullname: str = "") -> Iterator[MetaPathFinderProtocol | PathEntryFinderProtocol]: ... def iter_modules(path: Iterable[StrOrBytesPath] | None = None, prefix: str = "") -> Iterator[ModuleInfo]: ... def read_code(stream: SupportsRead[bytes]) -> Any: ... # undocumented def walk_packages( path: Iterable[StrOrBytesPath] | None = None, prefix: str = "", onerror: Callable[[str], object] | None = None ) -> Iterator[ModuleInfo]: ... def get_data(package: str, resource: str) -> bytes | None: ... def resolve_name(name: str) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/platform.pyi0000644000175100017510000001001515112307767020727 0ustar00runnerrunnerimport sys from typing import NamedTuple, type_check_only from typing_extensions import Self, deprecated, disjoint_base def libc_ver(executable: str | None = None, lib: str = "", version: str = "", chunksize: int = 16384) -> tuple[str, str]: ... def win32_ver(release: str = "", version: str = "", csd: str = "", ptype: str = "") -> tuple[str, str, str, str]: ... def win32_edition() -> str: ... def win32_is_iot() -> bool: ... def mac_ver( release: str = "", versioninfo: tuple[str, str, str] = ("", "", ""), machine: str = "" ) -> tuple[str, tuple[str, str, str], str]: ... if sys.version_info >= (3, 13): @deprecated("Deprecated since Python 3.13; will be removed in Python 3.15.") def java_ver( release: str = "", vendor: str = "", vminfo: tuple[str, str, str] = ("", "", ""), osinfo: tuple[str, str, str] = ("", "", ""), ) -> tuple[str, str, tuple[str, str, str], tuple[str, str, str]]: ... else: def java_ver( release: str = "", vendor: str = "", vminfo: tuple[str, str, str] = ("", "", ""), osinfo: tuple[str, str, str] = ("", "", ""), ) -> tuple[str, str, tuple[str, str, str], tuple[str, str, str]]: ... def system_alias(system: str, release: str, version: str) -> tuple[str, str, str]: ... def architecture(executable: str = sys.executable, bits: str = "", linkage: str = "") -> tuple[str, str]: ... # This class is not exposed. It calls itself platform.uname_result_base. # At runtime it only has 5 fields. @type_check_only class _uname_result_base(NamedTuple): system: str node: str release: str version: str machine: str # This base class doesn't have this field at runtime, but claiming it # does is the least bad way to handle the situation. Nobody really # sees this class anyway. See #13068 processor: str # uname_result emulates a 6-field named tuple, but the processor field # is lazily evaluated rather than being passed in to the constructor. if sys.version_info >= (3, 12): class uname_result(_uname_result_base): __match_args__ = ("system", "node", "release", "version", "machine") # pyright: ignore[reportAssignmentType] def __new__(_cls, system: str, node: str, release: str, version: str, machine: str) -> Self: ... @property def processor(self) -> str: ... else: @disjoint_base class uname_result(_uname_result_base): if sys.version_info >= (3, 10): __match_args__ = ("system", "node", "release", "version", "machine") # pyright: ignore[reportAssignmentType] def __new__(_cls, system: str, node: str, release: str, version: str, machine: str) -> Self: ... @property def processor(self) -> str: ... def uname() -> uname_result: ... def system() -> str: ... def node() -> str: ... def release() -> str: ... def version() -> str: ... def machine() -> str: ... def processor() -> str: ... def python_implementation() -> str: ... def python_version() -> str: ... def python_version_tuple() -> tuple[str, str, str]: ... def python_branch() -> str: ... def python_revision() -> str: ... def python_build() -> tuple[str, str]: ... def python_compiler() -> str: ... def platform(aliased: bool = False, terse: bool = False) -> str: ... if sys.version_info >= (3, 10): def freedesktop_os_release() -> dict[str, str]: ... if sys.version_info >= (3, 13): class AndroidVer(NamedTuple): release: str api_level: int manufacturer: str model: str device: str is_emulator: bool class IOSVersionInfo(NamedTuple): system: str release: str model: str is_simulator: bool def android_ver( release: str = "", api_level: int = 0, manufacturer: str = "", model: str = "", device: str = "", is_emulator: bool = False, ) -> AndroidVer: ... def ios_ver(system: str = "", release: str = "", model: str = "", is_simulator: bool = False) -> IOSVersionInfo: ... if sys.version_info >= (3, 14): def invalidate_caches() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/plistlib.pyi0000644000175100017510000000527215112307767020736 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from collections.abc import Mapping, MutableMapping from datetime import datetime from enum import Enum from typing import IO, Any, Final from typing_extensions import Self __all__ = ["InvalidFileException", "FMT_XML", "FMT_BINARY", "load", "dump", "loads", "dumps", "UID"] class PlistFormat(Enum): FMT_XML = 1 FMT_BINARY = 2 FMT_XML: Final = PlistFormat.FMT_XML FMT_BINARY: Final = PlistFormat.FMT_BINARY if sys.version_info >= (3, 13): def load( fp: IO[bytes], *, fmt: PlistFormat | None = None, dict_type: type[MutableMapping[str, Any]] = ..., aware_datetime: bool = False, ) -> Any: ... def loads( value: ReadableBuffer | str, *, fmt: PlistFormat | None = None, dict_type: type[MutableMapping[str, Any]] = ..., aware_datetime: bool = False, ) -> Any: ... else: def load(fp: IO[bytes], *, fmt: PlistFormat | None = None, dict_type: type[MutableMapping[str, Any]] = ...) -> Any: ... def loads( value: ReadableBuffer, *, fmt: PlistFormat | None = None, dict_type: type[MutableMapping[str, Any]] = ... ) -> Any: ... if sys.version_info >= (3, 13): def dump( value: Mapping[str, Any] | list[Any] | tuple[Any, ...] | str | bool | float | bytes | bytearray | datetime, fp: IO[bytes], *, fmt: PlistFormat = ..., sort_keys: bool = True, skipkeys: bool = False, aware_datetime: bool = False, ) -> None: ... def dumps( value: Mapping[str, Any] | list[Any] | tuple[Any, ...] | str | bool | float | bytes | bytearray | datetime, *, fmt: PlistFormat = ..., skipkeys: bool = False, sort_keys: bool = True, aware_datetime: bool = False, ) -> bytes: ... else: def dump( value: Mapping[str, Any] | list[Any] | tuple[Any, ...] | str | bool | float | bytes | bytearray | datetime, fp: IO[bytes], *, fmt: PlistFormat = ..., sort_keys: bool = True, skipkeys: bool = False, ) -> None: ... def dumps( value: Mapping[str, Any] | list[Any] | tuple[Any, ...] | str | bool | float | bytes | bytearray | datetime, *, fmt: PlistFormat = ..., skipkeys: bool = False, sort_keys: bool = True, ) -> bytes: ... class UID: data: int def __init__(self, data: int) -> None: ... def __index__(self) -> int: ... def __reduce__(self) -> tuple[type[Self], tuple[int]]: ... def __hash__(self) -> int: ... def __eq__(self, other: object) -> bool: ... class InvalidFileException(ValueError): def __init__(self, message: str = "Invalid file") -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/poplib.pyi0000644000175100017510000000470115112307767020375 0ustar00runnerrunnerimport socket import ssl import sys from builtins import list as _list # conflicts with a method named "list" from re import Pattern from typing import Any, BinaryIO, Final, NoReturn, overload from typing_extensions import TypeAlias __all__ = ["POP3", "error_proto", "POP3_SSL"] _LongResp: TypeAlias = tuple[bytes, list[bytes], int] class error_proto(Exception): ... POP3_PORT: Final = 110 POP3_SSL_PORT: Final = 995 CR: Final = b"\r" LF: Final = b"\n" CRLF: Final = b"\r\n" HAVE_SSL: Final[bool] class POP3: encoding: str host: str port: int sock: socket.socket file: BinaryIO welcome: bytes def __init__(self, host: str, port: int = 110, timeout: float = ...) -> None: ... def getwelcome(self) -> bytes: ... def set_debuglevel(self, level: int) -> None: ... def user(self, user: str) -> bytes: ... def pass_(self, pswd: str) -> bytes: ... def stat(self) -> tuple[int, int]: ... def list(self, which: Any | None = None) -> _LongResp: ... def retr(self, which: Any) -> _LongResp: ... def dele(self, which: Any) -> bytes: ... def noop(self) -> bytes: ... def rset(self) -> bytes: ... def quit(self) -> bytes: ... def close(self) -> None: ... def rpop(self, user: str) -> bytes: ... timestamp: Pattern[str] def apop(self, user: str, password: str) -> bytes: ... def top(self, which: Any, howmuch: int) -> _LongResp: ... @overload def uidl(self) -> _LongResp: ... @overload def uidl(self, which: Any) -> bytes: ... def utf8(self) -> bytes: ... def capa(self) -> dict[str, _list[str]]: ... def stls(self, context: ssl.SSLContext | None = None) -> bytes: ... class POP3_SSL(POP3): if sys.version_info >= (3, 12): def __init__( self, host: str, port: int = 995, *, timeout: float = ..., context: ssl.SSLContext | None = None ) -> None: ... def stls(self, context: Any = None) -> NoReturn: ... else: def __init__( self, host: str, port: int = 995, keyfile: str | None = None, certfile: str | None = None, timeout: float = ..., context: ssl.SSLContext | None = None, ) -> None: ... # "context" is actually the last argument, # but that breaks LSP and it doesn't really matter because all the arguments are ignored def stls(self, context: Any = None, keyfile: Any = None, certfile: Any = None) -> NoReturn: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/posix.pyi0000644000175100017510000003334415112307767020257 0ustar00runnerrunnerimport sys if sys.platform != "win32": # Actually defined here, but defining in os allows sharing code with windows from os import ( CLD_CONTINUED as CLD_CONTINUED, CLD_DUMPED as CLD_DUMPED, CLD_EXITED as CLD_EXITED, CLD_KILLED as CLD_KILLED, CLD_STOPPED as CLD_STOPPED, CLD_TRAPPED as CLD_TRAPPED, EX_CANTCREAT as EX_CANTCREAT, EX_CONFIG as EX_CONFIG, EX_DATAERR as EX_DATAERR, EX_IOERR as EX_IOERR, EX_NOHOST as EX_NOHOST, EX_NOINPUT as EX_NOINPUT, EX_NOPERM as EX_NOPERM, EX_NOUSER as EX_NOUSER, EX_OK as EX_OK, EX_OSERR as EX_OSERR, EX_OSFILE as EX_OSFILE, EX_PROTOCOL as EX_PROTOCOL, EX_SOFTWARE as EX_SOFTWARE, EX_TEMPFAIL as EX_TEMPFAIL, EX_UNAVAILABLE as EX_UNAVAILABLE, EX_USAGE as EX_USAGE, F_LOCK as F_LOCK, F_OK as F_OK, F_TEST as F_TEST, F_TLOCK as F_TLOCK, F_ULOCK as F_ULOCK, NGROUPS_MAX as NGROUPS_MAX, O_ACCMODE as O_ACCMODE, O_APPEND as O_APPEND, O_ASYNC as O_ASYNC, O_CLOEXEC as O_CLOEXEC, O_CREAT as O_CREAT, O_DIRECTORY as O_DIRECTORY, O_DSYNC as O_DSYNC, O_EXCL as O_EXCL, O_NDELAY as O_NDELAY, O_NOCTTY as O_NOCTTY, O_NOFOLLOW as O_NOFOLLOW, O_NONBLOCK as O_NONBLOCK, O_RDONLY as O_RDONLY, O_RDWR as O_RDWR, O_SYNC as O_SYNC, O_TRUNC as O_TRUNC, O_WRONLY as O_WRONLY, P_ALL as P_ALL, P_PGID as P_PGID, P_PID as P_PID, POSIX_SPAWN_CLOSE as POSIX_SPAWN_CLOSE, POSIX_SPAWN_DUP2 as POSIX_SPAWN_DUP2, POSIX_SPAWN_OPEN as POSIX_SPAWN_OPEN, PRIO_PGRP as PRIO_PGRP, PRIO_PROCESS as PRIO_PROCESS, PRIO_USER as PRIO_USER, R_OK as R_OK, RTLD_GLOBAL as RTLD_GLOBAL, RTLD_LAZY as RTLD_LAZY, RTLD_LOCAL as RTLD_LOCAL, RTLD_NODELETE as RTLD_NODELETE, RTLD_NOLOAD as RTLD_NOLOAD, RTLD_NOW as RTLD_NOW, SCHED_FIFO as SCHED_FIFO, SCHED_OTHER as SCHED_OTHER, SCHED_RR as SCHED_RR, SEEK_DATA as SEEK_DATA, SEEK_HOLE as SEEK_HOLE, ST_NOSUID as ST_NOSUID, ST_RDONLY as ST_RDONLY, TMP_MAX as TMP_MAX, W_OK as W_OK, WCONTINUED as WCONTINUED, WCOREDUMP as WCOREDUMP, WEXITED as WEXITED, WEXITSTATUS as WEXITSTATUS, WIFCONTINUED as WIFCONTINUED, WIFEXITED as WIFEXITED, WIFSIGNALED as WIFSIGNALED, WIFSTOPPED as WIFSTOPPED, WNOHANG as WNOHANG, WNOWAIT as WNOWAIT, WSTOPPED as WSTOPPED, WSTOPSIG as WSTOPSIG, WTERMSIG as WTERMSIG, WUNTRACED as WUNTRACED, X_OK as X_OK, DirEntry as DirEntry, _exit as _exit, abort as abort, access as access, chdir as chdir, chmod as chmod, chown as chown, chroot as chroot, close as close, closerange as closerange, confstr as confstr, confstr_names as confstr_names, cpu_count as cpu_count, ctermid as ctermid, device_encoding as device_encoding, dup as dup, dup2 as dup2, error as error, execv as execv, execve as execve, fchdir as fchdir, fchmod as fchmod, fchown as fchown, fork as fork, forkpty as forkpty, fpathconf as fpathconf, fspath as fspath, fstat as fstat, fstatvfs as fstatvfs, fsync as fsync, ftruncate as ftruncate, get_blocking as get_blocking, get_inheritable as get_inheritable, get_terminal_size as get_terminal_size, getcwd as getcwd, getcwdb as getcwdb, getegid as getegid, geteuid as geteuid, getgid as getgid, getgrouplist as getgrouplist, getgroups as getgroups, getloadavg as getloadavg, getlogin as getlogin, getpgid as getpgid, getpgrp as getpgrp, getpid as getpid, getppid as getppid, getpriority as getpriority, getsid as getsid, getuid as getuid, initgroups as initgroups, isatty as isatty, kill as kill, killpg as killpg, lchown as lchown, link as link, listdir as listdir, lockf as lockf, lseek as lseek, lstat as lstat, major as major, makedev as makedev, minor as minor, mkdir as mkdir, mkfifo as mkfifo, mknod as mknod, nice as nice, open as open, openpty as openpty, pathconf as pathconf, pathconf_names as pathconf_names, pipe as pipe, posix_spawn as posix_spawn, posix_spawnp as posix_spawnp, pread as pread, preadv as preadv, putenv as putenv, pwrite as pwrite, pwritev as pwritev, read as read, readlink as readlink, readv as readv, register_at_fork as register_at_fork, remove as remove, rename as rename, replace as replace, rmdir as rmdir, scandir as scandir, sched_get_priority_max as sched_get_priority_max, sched_get_priority_min as sched_get_priority_min, sched_param as sched_param, sched_yield as sched_yield, sendfile as sendfile, set_blocking as set_blocking, set_inheritable as set_inheritable, setegid as setegid, seteuid as seteuid, setgid as setgid, setgroups as setgroups, setpgid as setpgid, setpgrp as setpgrp, setpriority as setpriority, setregid as setregid, setreuid as setreuid, setsid as setsid, setuid as setuid, stat as stat, stat_result as stat_result, statvfs as statvfs, statvfs_result as statvfs_result, strerror as strerror, symlink as symlink, sync as sync, sysconf as sysconf, sysconf_names as sysconf_names, system as system, tcgetpgrp as tcgetpgrp, tcsetpgrp as tcsetpgrp, terminal_size as terminal_size, times as times, times_result as times_result, truncate as truncate, ttyname as ttyname, umask as umask, uname as uname, uname_result as uname_result, unlink as unlink, unsetenv as unsetenv, urandom as urandom, utime as utime, wait as wait, wait3 as wait3, wait4 as wait4, waitpid as waitpid, waitstatus_to_exitcode as waitstatus_to_exitcode, write as write, writev as writev, ) if sys.version_info >= (3, 10): from os import O_FSYNC as O_FSYNC if sys.version_info >= (3, 11): from os import login_tty as login_tty if sys.version_info >= (3, 13): from os import grantpt as grantpt, posix_openpt as posix_openpt, ptsname as ptsname, unlockpt as unlockpt if sys.version_info >= (3, 13) and sys.platform == "linux": from os import ( POSIX_SPAWN_CLOSEFROM as POSIX_SPAWN_CLOSEFROM, TFD_CLOEXEC as TFD_CLOEXEC, TFD_NONBLOCK as TFD_NONBLOCK, TFD_TIMER_ABSTIME as TFD_TIMER_ABSTIME, TFD_TIMER_CANCEL_ON_SET as TFD_TIMER_CANCEL_ON_SET, timerfd_create as timerfd_create, timerfd_gettime as timerfd_gettime, timerfd_gettime_ns as timerfd_gettime_ns, timerfd_settime as timerfd_settime, timerfd_settime_ns as timerfd_settime_ns, ) if sys.version_info >= (3, 14): from os import readinto as readinto if sys.version_info >= (3, 14) and sys.platform == "linux": from os import SCHED_DEADLINE as SCHED_DEADLINE, SCHED_NORMAL as SCHED_NORMAL if sys.platform != "linux": from os import O_EXLOCK as O_EXLOCK, O_SHLOCK as O_SHLOCK, chflags as chflags, lchflags as lchflags, lchmod as lchmod if sys.platform != "linux" and sys.platform != "darwin": from os import EX_NOTFOUND as EX_NOTFOUND, SCHED_SPORADIC as SCHED_SPORADIC if sys.platform != "linux" and sys.version_info >= (3, 13): from os import O_EXEC as O_EXEC, O_SEARCH as O_SEARCH if sys.platform != "darwin": from os import ( POSIX_FADV_DONTNEED as POSIX_FADV_DONTNEED, POSIX_FADV_NOREUSE as POSIX_FADV_NOREUSE, POSIX_FADV_NORMAL as POSIX_FADV_NORMAL, POSIX_FADV_RANDOM as POSIX_FADV_RANDOM, POSIX_FADV_SEQUENTIAL as POSIX_FADV_SEQUENTIAL, POSIX_FADV_WILLNEED as POSIX_FADV_WILLNEED, RWF_DSYNC as RWF_DSYNC, RWF_HIPRI as RWF_HIPRI, RWF_NOWAIT as RWF_NOWAIT, RWF_SYNC as RWF_SYNC, ST_APPEND as ST_APPEND, ST_MANDLOCK as ST_MANDLOCK, ST_NOATIME as ST_NOATIME, ST_NODEV as ST_NODEV, ST_NODIRATIME as ST_NODIRATIME, ST_NOEXEC as ST_NOEXEC, ST_RELATIME as ST_RELATIME, ST_SYNCHRONOUS as ST_SYNCHRONOUS, ST_WRITE as ST_WRITE, fdatasync as fdatasync, getresgid as getresgid, getresuid as getresuid, pipe2 as pipe2, posix_fadvise as posix_fadvise, posix_fallocate as posix_fallocate, sched_getaffinity as sched_getaffinity, sched_getparam as sched_getparam, sched_getscheduler as sched_getscheduler, sched_rr_get_interval as sched_rr_get_interval, sched_setaffinity as sched_setaffinity, sched_setparam as sched_setparam, sched_setscheduler as sched_setscheduler, setresgid as setresgid, setresuid as setresuid, ) if sys.version_info >= (3, 10): from os import RWF_APPEND as RWF_APPEND if sys.platform != "darwin" or sys.version_info >= (3, 13): from os import waitid as waitid, waitid_result as waitid_result if sys.platform == "linux": from os import ( GRND_NONBLOCK as GRND_NONBLOCK, GRND_RANDOM as GRND_RANDOM, MFD_ALLOW_SEALING as MFD_ALLOW_SEALING, MFD_CLOEXEC as MFD_CLOEXEC, MFD_HUGE_1GB as MFD_HUGE_1GB, MFD_HUGE_1MB as MFD_HUGE_1MB, MFD_HUGE_2GB as MFD_HUGE_2GB, MFD_HUGE_2MB as MFD_HUGE_2MB, MFD_HUGE_8MB as MFD_HUGE_8MB, MFD_HUGE_16GB as MFD_HUGE_16GB, MFD_HUGE_16MB as MFD_HUGE_16MB, MFD_HUGE_32MB as MFD_HUGE_32MB, MFD_HUGE_64KB as MFD_HUGE_64KB, MFD_HUGE_256MB as MFD_HUGE_256MB, MFD_HUGE_512KB as MFD_HUGE_512KB, MFD_HUGE_512MB as MFD_HUGE_512MB, MFD_HUGE_MASK as MFD_HUGE_MASK, MFD_HUGE_SHIFT as MFD_HUGE_SHIFT, MFD_HUGETLB as MFD_HUGETLB, O_DIRECT as O_DIRECT, O_LARGEFILE as O_LARGEFILE, O_NOATIME as O_NOATIME, O_PATH as O_PATH, O_RSYNC as O_RSYNC, O_TMPFILE as O_TMPFILE, P_PIDFD as P_PIDFD, RTLD_DEEPBIND as RTLD_DEEPBIND, SCHED_BATCH as SCHED_BATCH, SCHED_IDLE as SCHED_IDLE, SCHED_RESET_ON_FORK as SCHED_RESET_ON_FORK, XATTR_CREATE as XATTR_CREATE, XATTR_REPLACE as XATTR_REPLACE, XATTR_SIZE_MAX as XATTR_SIZE_MAX, copy_file_range as copy_file_range, getrandom as getrandom, getxattr as getxattr, listxattr as listxattr, memfd_create as memfd_create, pidfd_open as pidfd_open, removexattr as removexattr, setxattr as setxattr, ) if sys.version_info >= (3, 10): from os import ( EFD_CLOEXEC as EFD_CLOEXEC, EFD_NONBLOCK as EFD_NONBLOCK, EFD_SEMAPHORE as EFD_SEMAPHORE, SPLICE_F_MORE as SPLICE_F_MORE, SPLICE_F_MOVE as SPLICE_F_MOVE, SPLICE_F_NONBLOCK as SPLICE_F_NONBLOCK, eventfd as eventfd, eventfd_read as eventfd_read, eventfd_write as eventfd_write, splice as splice, ) if sys.version_info >= (3, 12): from os import ( CLONE_FILES as CLONE_FILES, CLONE_FS as CLONE_FS, CLONE_NEWCGROUP as CLONE_NEWCGROUP, CLONE_NEWIPC as CLONE_NEWIPC, CLONE_NEWNET as CLONE_NEWNET, CLONE_NEWNS as CLONE_NEWNS, CLONE_NEWPID as CLONE_NEWPID, CLONE_NEWTIME as CLONE_NEWTIME, CLONE_NEWUSER as CLONE_NEWUSER, CLONE_NEWUTS as CLONE_NEWUTS, CLONE_SIGHAND as CLONE_SIGHAND, CLONE_SYSVSEM as CLONE_SYSVSEM, CLONE_THREAD as CLONE_THREAD, CLONE_VM as CLONE_VM, PIDFD_NONBLOCK as PIDFD_NONBLOCK, setns as setns, unshare as unshare, ) if sys.platform == "darwin": if sys.version_info >= (3, 12): from os import ( PRIO_DARWIN_BG as PRIO_DARWIN_BG, PRIO_DARWIN_NONUI as PRIO_DARWIN_NONUI, PRIO_DARWIN_PROCESS as PRIO_DARWIN_PROCESS, PRIO_DARWIN_THREAD as PRIO_DARWIN_THREAD, ) if sys.platform == "darwin" and sys.version_info >= (3, 10): from os import O_EVTONLY as O_EVTONLY, O_NOFOLLOW_ANY as O_NOFOLLOW_ANY, O_SYMLINK as O_SYMLINK # Not same as os.environ or os.environb # Because of this variable, we can't do "from posix import *" in os/__init__.pyi environ: dict[bytes, bytes] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/posixpath.pyi0000644000175100017510000001121015112307767021120 0ustar00runnerrunnerimport sys from _typeshed import AnyOrLiteralStr, BytesPath, FileDescriptorOrPath, StrOrBytesPath, StrPath from collections.abc import Iterable from genericpath import ( ALLOW_MISSING as ALLOW_MISSING, _AllowMissingType, commonprefix as commonprefix, exists as exists, getatime as getatime, getctime as getctime, getmtime as getmtime, getsize as getsize, isdir as isdir, isfile as isfile, samefile as samefile, sameopenfile as sameopenfile, samestat as samestat, ) if sys.version_info >= (3, 13): from genericpath import isdevdrive as isdevdrive from os import PathLike from typing import AnyStr, overload from typing_extensions import LiteralString __all__ = [ "normcase", "isabs", "join", "splitdrive", "split", "splitext", "basename", "dirname", "commonprefix", "getsize", "getmtime", "getatime", "getctime", "islink", "exists", "lexists", "isdir", "isfile", "ismount", "expanduser", "expandvars", "normpath", "abspath", "samefile", "sameopenfile", "samestat", "curdir", "pardir", "sep", "pathsep", "defpath", "altsep", "extsep", "devnull", "realpath", "supports_unicode_filenames", "relpath", "commonpath", ] __all__ += ["ALLOW_MISSING"] if sys.version_info >= (3, 12): __all__ += ["isjunction", "splitroot"] if sys.version_info >= (3, 13): __all__ += ["isdevdrive"] supports_unicode_filenames: bool # aliases (also in os) curdir: LiteralString pardir: LiteralString sep: LiteralString altsep: LiteralString | None extsep: LiteralString pathsep: LiteralString defpath: LiteralString devnull: LiteralString # Overloads are necessary to work around python/mypy#17952 & python/mypy#11880 @overload def abspath(path: PathLike[AnyStr]) -> AnyStr: ... @overload def abspath(path: AnyStr) -> AnyStr: ... @overload def basename(p: PathLike[AnyStr]) -> AnyStr: ... @overload def basename(p: AnyOrLiteralStr) -> AnyOrLiteralStr: ... @overload def dirname(p: PathLike[AnyStr]) -> AnyStr: ... @overload def dirname(p: AnyOrLiteralStr) -> AnyOrLiteralStr: ... @overload def expanduser(path: PathLike[AnyStr]) -> AnyStr: ... @overload def expanduser(path: AnyStr) -> AnyStr: ... @overload def expandvars(path: PathLike[AnyStr]) -> AnyStr: ... @overload def expandvars(path: AnyStr) -> AnyStr: ... @overload def normcase(s: PathLike[AnyStr]) -> AnyStr: ... @overload def normcase(s: AnyOrLiteralStr) -> AnyOrLiteralStr: ... @overload def normpath(path: PathLike[AnyStr]) -> AnyStr: ... @overload def normpath(path: AnyOrLiteralStr) -> AnyOrLiteralStr: ... @overload def commonpath(paths: Iterable[LiteralString]) -> LiteralString: ... @overload def commonpath(paths: Iterable[StrPath]) -> str: ... @overload def commonpath(paths: Iterable[BytesPath]) -> bytes: ... # First parameter is not actually pos-only, # but must be defined as pos-only in the stub or cross-platform code doesn't type-check, # as the parameter name is different in ntpath.join() @overload def join(a: LiteralString, /, *paths: LiteralString) -> LiteralString: ... @overload def join(a: StrPath, /, *paths: StrPath) -> str: ... @overload def join(a: BytesPath, /, *paths: BytesPath) -> bytes: ... @overload def realpath(filename: PathLike[AnyStr], *, strict: bool | _AllowMissingType = False) -> AnyStr: ... @overload def realpath(filename: AnyStr, *, strict: bool | _AllowMissingType = False) -> AnyStr: ... @overload def relpath(path: LiteralString, start: LiteralString | None = None) -> LiteralString: ... @overload def relpath(path: BytesPath, start: BytesPath | None = None) -> bytes: ... @overload def relpath(path: StrPath, start: StrPath | None = None) -> str: ... @overload def split(p: PathLike[AnyStr]) -> tuple[AnyStr, AnyStr]: ... @overload def split(p: AnyOrLiteralStr) -> tuple[AnyOrLiteralStr, AnyOrLiteralStr]: ... @overload def splitdrive(p: PathLike[AnyStr]) -> tuple[AnyStr, AnyStr]: ... @overload def splitdrive(p: AnyOrLiteralStr) -> tuple[AnyOrLiteralStr, AnyOrLiteralStr]: ... @overload def splitext(p: PathLike[AnyStr]) -> tuple[AnyStr, AnyStr]: ... @overload def splitext(p: AnyOrLiteralStr) -> tuple[AnyOrLiteralStr, AnyOrLiteralStr]: ... def isabs(s: StrOrBytesPath) -> bool: ... def islink(path: FileDescriptorOrPath) -> bool: ... def ismount(path: FileDescriptorOrPath) -> bool: ... def lexists(path: FileDescriptorOrPath) -> bool: ... if sys.version_info >= (3, 12): def isjunction(path: StrOrBytesPath) -> bool: ... @overload def splitroot(p: AnyOrLiteralStr) -> tuple[AnyOrLiteralStr, AnyOrLiteralStr, AnyOrLiteralStr]: ... @overload def splitroot(p: PathLike[AnyStr]) -> tuple[AnyStr, AnyStr, AnyStr]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pprint.pyi0000644000175100017510000001134315112307767020424 0ustar00runnerrunnerimport sys from _typeshed import SupportsWrite from collections import deque from typing import IO __all__ = ["pprint", "pformat", "isreadable", "isrecursive", "saferepr", "PrettyPrinter", "pp"] if sys.version_info >= (3, 10): def pformat( object: object, indent: int = 1, width: int = 80, depth: int | None = None, *, compact: bool = False, sort_dicts: bool = True, underscore_numbers: bool = False, ) -> str: ... else: def pformat( object: object, indent: int = 1, width: int = 80, depth: int | None = None, *, compact: bool = False, sort_dicts: bool = True, ) -> str: ... if sys.version_info >= (3, 10): def pp( object: object, stream: IO[str] | None = None, indent: int = 1, width: int = 80, depth: int | None = None, *, compact: bool = False, sort_dicts: bool = False, underscore_numbers: bool = False, ) -> None: ... else: def pp( object: object, stream: IO[str] | None = None, indent: int = 1, width: int = 80, depth: int | None = None, *, compact: bool = False, sort_dicts: bool = False, ) -> None: ... if sys.version_info >= (3, 10): def pprint( object: object, stream: IO[str] | None = None, indent: int = 1, width: int = 80, depth: int | None = None, *, compact: bool = False, sort_dicts: bool = True, underscore_numbers: bool = False, ) -> None: ... else: def pprint( object: object, stream: IO[str] | None = None, indent: int = 1, width: int = 80, depth: int | None = None, *, compact: bool = False, sort_dicts: bool = True, ) -> None: ... def isreadable(object: object) -> bool: ... def isrecursive(object: object) -> bool: ... def saferepr(object: object) -> str: ... class PrettyPrinter: if sys.version_info >= (3, 10): def __init__( self, indent: int = 1, width: int = 80, depth: int | None = None, stream: IO[str] | None = None, *, compact: bool = False, sort_dicts: bool = True, underscore_numbers: bool = False, ) -> None: ... else: def __init__( self, indent: int = 1, width: int = 80, depth: int | None = None, stream: IO[str] | None = None, *, compact: bool = False, sort_dicts: bool = True, ) -> None: ... def pformat(self, object: object) -> str: ... def pprint(self, object: object) -> None: ... def isreadable(self, object: object) -> bool: ... def isrecursive(self, object: object) -> bool: ... def format(self, object: object, context: dict[int, int], maxlevels: int, level: int) -> tuple[str, bool, bool]: ... def _format( self, object: object, stream: SupportsWrite[str], indent: int, allowance: int, context: dict[int, int], level: int ) -> None: ... def _pprint_dict( self, object: dict[object, object], stream: SupportsWrite[str], indent: int, allowance: int, context: dict[int, int], level: int, ) -> None: ... def _pprint_list( self, object: list[object], stream: SupportsWrite[str], indent: int, allowance: int, context: dict[int, int], level: int ) -> None: ... def _pprint_tuple( self, object: tuple[object, ...], stream: SupportsWrite[str], indent: int, allowance: int, context: dict[int, int], level: int, ) -> None: ... def _pprint_set( self, object: set[object], stream: SupportsWrite[str], indent: int, allowance: int, context: dict[int, int], level: int ) -> None: ... def _pprint_deque( self, object: deque[object], stream: SupportsWrite[str], indent: int, allowance: int, context: dict[int, int], level: int ) -> None: ... def _format_dict_items( self, items: list[tuple[object, object]], stream: SupportsWrite[str], indent: int, allowance: int, context: dict[int, int], level: int, ) -> None: ... def _format_items( self, items: list[object], stream: SupportsWrite[str], indent: int, allowance: int, context: dict[int, int], level: int ) -> None: ... def _repr(self, object: object, context: dict[int, int], level: int) -> str: ... if sys.version_info >= (3, 10): def _safe_repr(self, object: object, context: dict[int, int], maxlevels: int, level: int) -> tuple[str, bool, bool]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/profile.pyi0000644000175100017510000000261015112307767020545 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath from collections.abc import Callable, Mapping from typing import Any, TypeVar from typing_extensions import ParamSpec, Self, TypeAlias __all__ = ["run", "runctx", "Profile"] def run(statement: str, filename: str | None = None, sort: str | int = -1) -> None: ... def runctx( statement: str, globals: dict[str, Any], locals: Mapping[str, Any], filename: str | None = None, sort: str | int = -1 ) -> None: ... _T = TypeVar("_T") _P = ParamSpec("_P") _Label: TypeAlias = tuple[str, int, str] class Profile: bias: int stats: dict[_Label, tuple[int, int, int, int, dict[_Label, tuple[int, int, int, int]]]] # undocumented def __init__(self, timer: Callable[[], float] | None = None, bias: int | None = None) -> None: ... def set_cmd(self, cmd: str) -> None: ... def simulate_call(self, name: str) -> None: ... def simulate_cmd_complete(self) -> None: ... def print_stats(self, sort: str | int = -1) -> None: ... def dump_stats(self, file: StrOrBytesPath) -> None: ... def create_stats(self) -> None: ... def snapshot_stats(self) -> None: ... def run(self, cmd: str) -> Self: ... def runctx(self, cmd: str, globals: dict[str, Any], locals: Mapping[str, Any]) -> Self: ... def runcall(self, func: Callable[_P, _T], /, *args: _P.args, **kw: _P.kwargs) -> _T: ... def calibrate(self, m: int, verbose: int = 0) -> float: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pstats.pyi0000644000175100017510000000600115112307767020421 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from collections.abc import Iterable from cProfile import Profile as _cProfile from dataclasses import dataclass from profile import Profile from typing import IO, Any, Literal, overload from typing_extensions import Self, TypeAlias if sys.version_info >= (3, 11): from enum import StrEnum else: from enum import Enum __all__ = ["Stats", "SortKey", "FunctionProfile", "StatsProfile"] _Selector: TypeAlias = str | float | int if sys.version_info >= (3, 11): class SortKey(StrEnum): CALLS = "calls" CUMULATIVE = "cumulative" FILENAME = "filename" LINE = "line" NAME = "name" NFL = "nfl" PCALLS = "pcalls" STDNAME = "stdname" TIME = "time" else: class SortKey(str, Enum): CALLS = "calls" CUMULATIVE = "cumulative" FILENAME = "filename" LINE = "line" NAME = "name" NFL = "nfl" PCALLS = "pcalls" STDNAME = "stdname" TIME = "time" @dataclass(unsafe_hash=True) class FunctionProfile: ncalls: str tottime: float percall_tottime: float cumtime: float percall_cumtime: float file_name: str line_number: int @dataclass(unsafe_hash=True) class StatsProfile: total_tt: float func_profiles: dict[str, FunctionProfile] _SortArgDict: TypeAlias = dict[str, tuple[tuple[tuple[int, int], ...], str]] class Stats: sort_arg_dict_default: _SortArgDict def __init__( self, arg: None | str | Profile | _cProfile = ..., /, *args: None | str | Profile | _cProfile | Self, stream: IO[Any] | None = None, ) -> None: ... def init(self, arg: None | str | Profile | _cProfile) -> None: ... def load_stats(self, arg: None | str | Profile | _cProfile) -> None: ... def get_top_level_stats(self) -> None: ... def add(self, *arg_list: None | str | Profile | _cProfile | Self) -> Self: ... def dump_stats(self, filename: StrOrBytesPath) -> None: ... def get_sort_arg_defs(self) -> _SortArgDict: ... @overload def sort_stats(self, field: Literal[-1, 0, 1, 2]) -> Self: ... @overload def sort_stats(self, *field: str) -> Self: ... def reverse_order(self) -> Self: ... def strip_dirs(self) -> Self: ... def calc_callees(self) -> None: ... def eval_print_amount(self, sel: _Selector, list: list[str], msg: str) -> tuple[list[str], str]: ... def get_stats_profile(self) -> StatsProfile: ... def get_print_list(self, sel_list: Iterable[_Selector]) -> tuple[int, list[str]]: ... def print_stats(self, *amount: _Selector) -> Self: ... def print_callees(self, *amount: _Selector) -> Self: ... def print_callers(self, *amount: _Selector) -> Self: ... def print_call_heading(self, name_size: int, column_title: str) -> None: ... def print_call_line(self, name_size: int, source: str, call_dict: dict[str, Any], arrow: str = "->") -> None: ... def print_title(self) -> None: ... def print_line(self, func: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pty.pyi0000644000175100017510000000206015112307767017720 0ustar00runnerrunnerimport sys from collections.abc import Callable, Iterable from typing import Final from typing_extensions import TypeAlias, deprecated if sys.platform != "win32": __all__ = ["openpty", "fork", "spawn"] _Reader: TypeAlias = Callable[[int], bytes] STDIN_FILENO: Final = 0 STDOUT_FILENO: Final = 1 STDERR_FILENO: Final = 2 CHILD: Final = 0 def openpty() -> tuple[int, int]: ... if sys.version_info < (3, 14): if sys.version_info >= (3, 12): @deprecated("Deprecated since Python 3.12; removed in Python 3.14. Use `openpty()` instead.") def master_open() -> tuple[int, str]: ... @deprecated("Deprecated since Python 3.12; removed in Python 3.14. Use `openpty()` instead.") def slave_open(tty_name: str) -> int: ... else: def master_open() -> tuple[int, str]: ... def slave_open(tty_name: str) -> int: ... def fork() -> tuple[int, int]: ... def spawn(argv: str | Iterable[str], master_read: _Reader = ..., stdin_read: _Reader = ...) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pwd.pyi0000644000175100017510000000161115112307767017677 0ustar00runnerrunnerimport sys from _typeshed import structseq from typing import Any, Final, final if sys.platform != "win32": @final class struct_passwd(structseq[Any], tuple[str, str, int, int, str, str, str]): if sys.version_info >= (3, 10): __match_args__: Final = ("pw_name", "pw_passwd", "pw_uid", "pw_gid", "pw_gecos", "pw_dir", "pw_shell") @property def pw_name(self) -> str: ... @property def pw_passwd(self) -> str: ... @property def pw_uid(self) -> int: ... @property def pw_gid(self) -> int: ... @property def pw_gecos(self) -> str: ... @property def pw_dir(self) -> str: ... @property def pw_shell(self) -> str: ... def getpwall() -> list[struct_passwd]: ... def getpwuid(uid: int, /) -> struct_passwd: ... def getpwnam(name: str, /) -> struct_passwd: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/py_compile.pyi0000644000175100017510000000157615112307767021257 0ustar00runnerrunnerimport enum import sys from typing import AnyStr __all__ = ["compile", "main", "PyCompileError", "PycInvalidationMode"] class PyCompileError(Exception): exc_type_name: str exc_value: BaseException file: str msg: str def __init__(self, exc_type: type[BaseException], exc_value: BaseException, file: str, msg: str = "") -> None: ... class PycInvalidationMode(enum.Enum): TIMESTAMP = 1 CHECKED_HASH = 2 UNCHECKED_HASH = 3 def _get_default_invalidation_mode() -> PycInvalidationMode: ... def compile( file: AnyStr, cfile: AnyStr | None = None, dfile: AnyStr | None = None, doraise: bool = False, optimize: int = -1, invalidation_mode: PycInvalidationMode | None = None, quiet: int = 0, ) -> AnyStr | None: ... if sys.version_info >= (3, 10): def main() -> None: ... else: def main(args: list[str] | None = None) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pyclbr.pyi0000644000175100017510000000435415112307767020407 0ustar00runnerrunnerimport sys from collections.abc import Mapping, Sequence __all__ = ["readmodule", "readmodule_ex", "Class", "Function"] class _Object: module: str name: str file: int lineno: int if sys.version_info >= (3, 10): end_lineno: int | None parent: _Object | None # This is a dict at runtime, but we're typing it as Mapping to # avoid variance issues in the subclasses children: Mapping[str, _Object] if sys.version_info >= (3, 10): def __init__( self, module: str, name: str, file: str, lineno: int, end_lineno: int | None, parent: _Object | None ) -> None: ... else: def __init__(self, module: str, name: str, file: str, lineno: int, parent: _Object | None) -> None: ... class Function(_Object): if sys.version_info >= (3, 10): is_async: bool parent: Function | Class | None children: dict[str, Class | Function] if sys.version_info >= (3, 10): def __init__( self, module: str, name: str, file: str, lineno: int, parent: Function | Class | None = None, is_async: bool = False, *, end_lineno: int | None = None, ) -> None: ... else: def __init__(self, module: str, name: str, file: str, lineno: int, parent: Function | Class | None = None) -> None: ... class Class(_Object): super: list[Class | str] | None methods: dict[str, int] parent: Class | None children: dict[str, Class | Function] if sys.version_info >= (3, 10): def __init__( self, module: str, name: str, super_: list[Class | str] | None, file: str, lineno: int, parent: Class | None = None, *, end_lineno: int | None = None, ) -> None: ... else: def __init__( self, module: str, name: str, super: list[Class | str] | None, file: str, lineno: int, parent: Class | None = None ) -> None: ... def readmodule(module: str, path: Sequence[str] | None = None) -> dict[str, Class]: ... def readmodule_ex(module: str, path: Sequence[str] | None = None) -> dict[str, Class | Function | list[str]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pydoc.pyi0000644000175100017510000003315015112307767020226 0ustar00runnerrunnerimport sys from _typeshed import OptExcInfo, SupportsWrite, Unused from abc import abstractmethod from builtins import list as _list # "list" conflicts with method name from collections.abc import Callable, Container, Mapping, MutableMapping from reprlib import Repr from types import MethodType, ModuleType, TracebackType from typing import IO, Any, AnyStr, Final, NoReturn, Protocol, TypeVar, type_check_only from typing_extensions import TypeGuard, deprecated __all__ = ["help"] _T = TypeVar("_T") __author__: Final[str] __date__: Final[str] __version__: Final[str] __credits__: Final[str] @type_check_only class _Pager(Protocol): def __call__(self, text: str, title: str = "") -> None: ... def pathdirs() -> list[str]: ... def getdoc(object: object) -> str: ... def splitdoc(doc: AnyStr) -> tuple[AnyStr, AnyStr]: ... def classname(object: object, modname: str) -> str: ... def isdata(object: object) -> bool: ... def replace(text: AnyStr, *pairs: AnyStr) -> AnyStr: ... def cram(text: str, maxlen: int) -> str: ... def stripid(text: str) -> str: ... def allmethods(cl: type) -> MutableMapping[str, MethodType]: ... def visiblename(name: str, all: Container[str] | None = None, obj: object = None) -> bool: ... def classify_class_attrs(object: object) -> list[tuple[str, str, type, str]]: ... if sys.version_info >= (3, 13): @deprecated("Deprecated since Python 3.13.") def ispackage(path: str) -> bool: ... # undocumented else: def ispackage(path: str) -> bool: ... # undocumented def source_synopsis(file: IO[AnyStr]) -> AnyStr | None: ... def synopsis(filename: str, cache: MutableMapping[str, tuple[int, str]] = {}) -> str | None: ... class ErrorDuringImport(Exception): filename: str exc: type[BaseException] | None value: BaseException | None tb: TracebackType | None def __init__(self, filename: str, exc_info: OptExcInfo) -> None: ... def importfile(path: str) -> ModuleType: ... def safeimport(path: str, forceload: bool = ..., cache: MutableMapping[str, ModuleType] = {}) -> ModuleType | None: ... class Doc: PYTHONDOCS: str def document(self, object: object, name: str | None = None, *args: Any) -> str: ... def fail(self, object: object, name: str | None = None, *args: Any) -> NoReturn: ... @abstractmethod def docmodule(self, object: object, name: str | None = None, *args: Any) -> str: ... @abstractmethod def docclass(self, object: object, name: str | None = None, *args: Any) -> str: ... @abstractmethod def docroutine(self, object: object, name: str | None = None, *args: Any) -> str: ... @abstractmethod def docother(self, object: object, name: str | None = None, *args: Any) -> str: ... @abstractmethod def docproperty(self, object: object, name: str | None = None, *args: Any) -> str: ... @abstractmethod def docdata(self, object: object, name: str | None = None, *args: Any) -> str: ... def getdocloc(self, object: object, basedir: str = ...) -> str | None: ... class HTMLRepr(Repr): def __init__(self) -> None: ... def escape(self, text: str) -> str: ... def repr(self, object: object) -> str: ... def repr1(self, x: object, level: complex) -> str: ... def repr_string(self, x: str, level: complex) -> str: ... def repr_str(self, x: str, level: complex) -> str: ... def repr_instance(self, x: object, level: complex) -> str: ... def repr_unicode(self, x: AnyStr, level: complex) -> str: ... class HTMLDoc(Doc): _repr_instance: HTMLRepr repr = _repr_instance.repr escape = _repr_instance.escape def page(self, title: str, contents: str) -> str: ... if sys.version_info >= (3, 11): def heading(self, title: str, extras: str = "") -> str: ... def section( self, title: str, cls: str, contents: str, width: int = 6, prelude: str = "", marginalia: str | None = None, gap: str = " ", ) -> str: ... def multicolumn(self, list: list[_T], format: Callable[[_T], str]) -> str: ... else: def heading(self, title: str, fgcol: str, bgcol: str, extras: str = "") -> str: ... def section( self, title: str, fgcol: str, bgcol: str, contents: str, width: int = 6, prelude: str = "", marginalia: str | None = None, gap: str = " ", ) -> str: ... def multicolumn(self, list: list[_T], format: Callable[[_T], str], cols: int = 4) -> str: ... def bigsection(self, title: str, *args: Any) -> str: ... def preformat(self, text: str) -> str: ... def grey(self, text: str) -> str: ... def namelink(self, name: str, *dicts: MutableMapping[str, str]) -> str: ... def classlink(self, object: object, modname: str) -> str: ... def modulelink(self, object: object) -> str: ... def modpkglink(self, modpkginfo: tuple[str, str, bool, bool]) -> str: ... def markup( self, text: str, escape: Callable[[str], str] | None = None, funcs: Mapping[str, str] = {}, classes: Mapping[str, str] = {}, methods: Mapping[str, str] = {}, ) -> str: ... def formattree( self, tree: list[tuple[type, tuple[type, ...]] | list[Any]], modname: str, parent: type | None = None ) -> str: ... def docmodule(self, object: object, name: str | None = None, mod: str | None = None, *ignored: Unused) -> str: ... def docclass( self, object: object, name: str | None = None, mod: str | None = None, funcs: Mapping[str, str] = {}, classes: Mapping[str, str] = {}, *ignored: Unused, ) -> str: ... def formatvalue(self, object: object) -> str: ... def docother(self, object: object, name: str | None = None, mod: Any | None = None, *ignored: Unused) -> str: ... if sys.version_info >= (3, 11): def docroutine( # type: ignore[override] self, object: object, name: str | None = None, mod: str | None = None, funcs: Mapping[str, str] = {}, classes: Mapping[str, str] = {}, methods: Mapping[str, str] = {}, cl: type | None = None, homecls: type | None = None, ) -> str: ... def docproperty( self, object: object, name: str | None = None, mod: str | None = None, cl: Any | None = None, *ignored: Unused ) -> str: ... def docdata( self, object: object, name: str | None = None, mod: Any | None = None, cl: Any | None = None, *ignored: Unused ) -> str: ... else: def docroutine( # type: ignore[override] self, object: object, name: str | None = None, mod: str | None = None, funcs: Mapping[str, str] = {}, classes: Mapping[str, str] = {}, methods: Mapping[str, str] = {}, cl: type | None = None, ) -> str: ... def docproperty(self, object: object, name: str | None = None, mod: str | None = None, cl: Any | None = None) -> str: ... # type: ignore[override] def docdata(self, object: object, name: str | None = None, mod: Any | None = None, cl: Any | None = None) -> str: ... # type: ignore[override] if sys.version_info >= (3, 11): def parentlink(self, object: type | ModuleType, modname: str) -> str: ... def index(self, dir: str, shadowed: MutableMapping[str, bool] | None = None) -> str: ... def filelink(self, url: str, path: str) -> str: ... class TextRepr(Repr): def __init__(self) -> None: ... def repr1(self, x: object, level: complex) -> str: ... def repr_string(self, x: str, level: complex) -> str: ... def repr_str(self, x: str, level: complex) -> str: ... def repr_instance(self, x: object, level: complex) -> str: ... class TextDoc(Doc): _repr_instance: TextRepr repr = _repr_instance.repr def bold(self, text: str) -> str: ... def indent(self, text: str, prefix: str = " ") -> str: ... def section(self, title: str, contents: str) -> str: ... def formattree( self, tree: list[tuple[type, tuple[type, ...]] | list[Any]], modname: str, parent: type | None = None, prefix: str = "" ) -> str: ... def docclass(self, object: object, name: str | None = None, mod: str | None = None, *ignored: Unused) -> str: ... def formatvalue(self, object: object) -> str: ... if sys.version_info >= (3, 11): def docroutine( # type: ignore[override] self, object: object, name: str | None = None, mod: str | None = None, cl: Any | None = None, homecls: Any | None = None, ) -> str: ... def docmodule(self, object: object, name: str | None = None, mod: Any | None = None, *ignored: Unused) -> str: ... def docproperty( self, object: object, name: str | None = None, mod: Any | None = None, cl: Any | None = None, *ignored: Unused ) -> str: ... def docdata( self, object: object, name: str | None = None, mod: str | None = None, cl: Any | None = None, *ignored: Unused ) -> str: ... def docother( self, object: object, name: str | None = None, mod: str | None = None, parent: str | None = None, *ignored: Unused, maxlen: int | None = None, doc: Any | None = None, ) -> str: ... else: def docroutine(self, object: object, name: str | None = None, mod: str | None = None, cl: Any | None = None) -> str: ... # type: ignore[override] def docmodule(self, object: object, name: str | None = None, mod: Any | None = None) -> str: ... # type: ignore[override] def docproperty(self, object: object, name: str | None = None, mod: Any | None = None, cl: Any | None = None) -> str: ... # type: ignore[override] def docdata(self, object: object, name: str | None = None, mod: str | None = None, cl: Any | None = None) -> str: ... # type: ignore[override] def docother( # type: ignore[override] self, object: object, name: str | None = None, mod: str | None = None, parent: str | None = None, maxlen: int | None = None, doc: Any | None = None, ) -> str: ... if sys.version_info >= (3, 13): def pager(text: str, title: str = "") -> None: ... else: def pager(text: str) -> None: ... def plain(text: str) -> str: ... def describe(thing: Any) -> str: ... def locate(path: str, forceload: bool = ...) -> object: ... if sys.version_info >= (3, 13): def get_pager() -> _Pager: ... def pipe_pager(text: str, cmd: str, title: str = "") -> None: ... def tempfile_pager(text: str, cmd: str, title: str = "") -> None: ... def tty_pager(text: str, title: str = "") -> None: ... def plain_pager(text: str, title: str = "") -> None: ... # For backwards compatibility. getpager = get_pager pipepager = pipe_pager tempfilepager = tempfile_pager ttypager = tty_pager plainpager = plain_pager else: def getpager() -> Callable[[str], None]: ... def pipepager(text: str, cmd: str) -> None: ... def tempfilepager(text: str, cmd: str) -> None: ... def ttypager(text: str) -> None: ... def plainpager(text: str) -> None: ... text: TextDoc html: HTMLDoc def resolve(thing: str | object, forceload: bool = ...) -> tuple[object, str] | None: ... def render_doc( thing: str | object, title: str = "Python Library Documentation: %s", forceload: bool = ..., renderer: Doc | None = None ) -> str: ... if sys.version_info >= (3, 11): def doc( thing: str | object, title: str = "Python Library Documentation: %s", forceload: bool = ..., output: SupportsWrite[str] | None = None, is_cli: bool = False, ) -> None: ... else: def doc( thing: str | object, title: str = "Python Library Documentation: %s", forceload: bool = ..., output: SupportsWrite[str] | None = None, ) -> None: ... def writedoc(thing: str | object, forceload: bool = ...) -> None: ... def writedocs(dir: str, pkgpath: str = "", done: Any | None = None) -> None: ... class Helper: keywords: dict[str, str | tuple[str, str]] symbols: dict[str, str] topics: dict[str, str | tuple[str, ...]] def __init__(self, input: IO[str] | None = None, output: IO[str] | None = None) -> None: ... @property def input(self) -> IO[str]: ... @property def output(self) -> IO[str]: ... def __call__(self, request: str | Helper | object = ...) -> None: ... def interact(self) -> None: ... def getline(self, prompt: str) -> str: ... if sys.version_info >= (3, 11): def help(self, request: Any, is_cli: bool = False) -> None: ... else: def help(self, request: Any) -> None: ... def intro(self) -> None: ... def list(self, items: _list[str], columns: int = 4, width: int = 80) -> None: ... def listkeywords(self) -> None: ... def listsymbols(self) -> None: ... def listtopics(self) -> None: ... def showtopic(self, topic: str, more_xrefs: str = "") -> None: ... def showsymbol(self, symbol: str) -> None: ... def listmodules(self, key: str = "") -> None: ... help: Helper class ModuleScanner: quit: bool def run( self, callback: Callable[[str | None, str, str], object], key: str | None = None, completer: Callable[[], object] | None = None, onerror: Callable[[str], object] | None = None, ) -> None: ... def apropos(key: str) -> None: ... def ispath(x: object) -> TypeGuard[str]: ... def cli() -> None: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6077657 mypy-1.19.0/mypy/typeshed/stdlib/pydoc_data/0000755000175100017510000000000015112310012020443 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pydoc_data/__init__.pyi0000644000175100017510000000000015112307767022742 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pydoc_data/topics.pyi0000644000175100017510000000007015112307767022513 0ustar00runnerrunnerfrom typing import Final topics: Final[dict[str, str]] ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6087656 mypy-1.19.0/mypy/typeshed/stdlib/pyexpat/0000755000175100017510000000000015112310012020026 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pyexpat/__init__.pyi0000644000175100017510000000701515112307767022342 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer, SupportsRead from collections.abc import Callable from pyexpat import errors as errors, model as model from typing import Any, Final, final from typing_extensions import CapsuleType, TypeAlias from xml.parsers.expat import ExpatError as ExpatError EXPAT_VERSION: Final[str] # undocumented version_info: tuple[int, int, int] # undocumented native_encoding: str # undocumented features: list[tuple[str, int]] # undocumented error = ExpatError XML_PARAM_ENTITY_PARSING_NEVER: Final = 0 XML_PARAM_ENTITY_PARSING_UNLESS_STANDALONE: Final = 1 XML_PARAM_ENTITY_PARSING_ALWAYS: Final = 2 _Model: TypeAlias = tuple[int, int, str | None, tuple[Any, ...]] @final class XMLParserType: def Parse(self, data: str | ReadableBuffer, isfinal: bool = False, /) -> int: ... def ParseFile(self, file: SupportsRead[bytes], /) -> int: ... def SetBase(self, base: str, /) -> None: ... def GetBase(self) -> str | None: ... def GetInputContext(self) -> bytes | None: ... def ExternalEntityParserCreate(self, context: str | None, encoding: str = ..., /) -> XMLParserType: ... def SetParamEntityParsing(self, flag: int, /) -> int: ... def UseForeignDTD(self, flag: bool = True, /) -> None: ... def GetReparseDeferralEnabled(self) -> bool: ... def SetReparseDeferralEnabled(self, enabled: bool, /) -> None: ... @property def intern(self) -> dict[str, str]: ... buffer_size: int buffer_text: bool buffer_used: int namespace_prefixes: bool # undocumented ordered_attributes: bool specified_attributes: bool ErrorByteIndex: int ErrorCode: int ErrorColumnNumber: int ErrorLineNumber: int CurrentByteIndex: int CurrentColumnNumber: int CurrentLineNumber: int XmlDeclHandler: Callable[[str, str | None, int], Any] | None StartDoctypeDeclHandler: Callable[[str, str | None, str | None, bool], Any] | None EndDoctypeDeclHandler: Callable[[], Any] | None ElementDeclHandler: Callable[[str, _Model], Any] | None AttlistDeclHandler: Callable[[str, str, str, str | None, bool], Any] | None StartElementHandler: ( Callable[[str, dict[str, str]], Any] | Callable[[str, list[str]], Any] | Callable[[str, dict[str, str], list[str]], Any] | None ) EndElementHandler: Callable[[str], Any] | None ProcessingInstructionHandler: Callable[[str, str], Any] | None CharacterDataHandler: Callable[[str], Any] | None UnparsedEntityDeclHandler: Callable[[str, str | None, str, str | None, str], Any] | None EntityDeclHandler: Callable[[str, bool, str | None, str | None, str, str | None, str | None], Any] | None NotationDeclHandler: Callable[[str, str | None, str, str | None], Any] | None StartNamespaceDeclHandler: Callable[[str, str], Any] | None EndNamespaceDeclHandler: Callable[[str], Any] | None CommentHandler: Callable[[str], Any] | None StartCdataSectionHandler: Callable[[], Any] | None EndCdataSectionHandler: Callable[[], Any] | None DefaultHandler: Callable[[str], Any] | None DefaultHandlerExpand: Callable[[str], Any] | None NotStandaloneHandler: Callable[[], int] | None ExternalEntityRefHandler: Callable[[str, str | None, str | None, str | None], int] | None SkippedEntityHandler: Callable[[str, bool], Any] | None def ErrorString(code: int, /) -> str: ... # intern is undocumented def ParserCreate( encoding: str | None = None, namespace_separator: str | None = None, intern: dict[str, Any] | None = None ) -> XMLParserType: ... expat_CAPI: CapsuleType ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pyexpat/errors.pyi0000644000175100017510000000446515112307767022125 0ustar00runnerrunnerimport sys from typing import Final from typing_extensions import LiteralString codes: dict[str, int] messages: dict[int, str] XML_ERROR_ABORTED: Final[LiteralString] XML_ERROR_ASYNC_ENTITY: Final[LiteralString] XML_ERROR_ATTRIBUTE_EXTERNAL_ENTITY_REF: Final[LiteralString] XML_ERROR_BAD_CHAR_REF: Final[LiteralString] XML_ERROR_BINARY_ENTITY_REF: Final[LiteralString] XML_ERROR_CANT_CHANGE_FEATURE_ONCE_PARSING: Final[LiteralString] XML_ERROR_DUPLICATE_ATTRIBUTE: Final[LiteralString] XML_ERROR_ENTITY_DECLARED_IN_PE: Final[LiteralString] XML_ERROR_EXTERNAL_ENTITY_HANDLING: Final[LiteralString] XML_ERROR_FEATURE_REQUIRES_XML_DTD: Final[LiteralString] XML_ERROR_FINISHED: Final[LiteralString] XML_ERROR_INCOMPLETE_PE: Final[LiteralString] XML_ERROR_INCORRECT_ENCODING: Final[LiteralString] XML_ERROR_INVALID_TOKEN: Final[LiteralString] XML_ERROR_JUNK_AFTER_DOC_ELEMENT: Final[LiteralString] XML_ERROR_MISPLACED_XML_PI: Final[LiteralString] XML_ERROR_NOT_STANDALONE: Final[LiteralString] XML_ERROR_NOT_SUSPENDED: Final[LiteralString] XML_ERROR_NO_ELEMENTS: Final[LiteralString] XML_ERROR_NO_MEMORY: Final[LiteralString] XML_ERROR_PARAM_ENTITY_REF: Final[LiteralString] XML_ERROR_PARTIAL_CHAR: Final[LiteralString] XML_ERROR_PUBLICID: Final[LiteralString] XML_ERROR_RECURSIVE_ENTITY_REF: Final[LiteralString] XML_ERROR_SUSPENDED: Final[LiteralString] XML_ERROR_SUSPEND_PE: Final[LiteralString] XML_ERROR_SYNTAX: Final[LiteralString] XML_ERROR_TAG_MISMATCH: Final[LiteralString] XML_ERROR_TEXT_DECL: Final[LiteralString] XML_ERROR_UNBOUND_PREFIX: Final[LiteralString] XML_ERROR_UNCLOSED_CDATA_SECTION: Final[LiteralString] XML_ERROR_UNCLOSED_TOKEN: Final[LiteralString] XML_ERROR_UNDECLARING_PREFIX: Final[LiteralString] XML_ERROR_UNDEFINED_ENTITY: Final[LiteralString] XML_ERROR_UNEXPECTED_STATE: Final[LiteralString] XML_ERROR_UNKNOWN_ENCODING: Final[LiteralString] XML_ERROR_XML_DECL: Final[LiteralString] if sys.version_info >= (3, 11): XML_ERROR_RESERVED_PREFIX_XML: Final[LiteralString] XML_ERROR_RESERVED_PREFIX_XMLNS: Final[LiteralString] XML_ERROR_RESERVED_NAMESPACE_URI: Final[LiteralString] XML_ERROR_INVALID_ARGUMENT: Final[LiteralString] XML_ERROR_NO_BUFFER: Final[LiteralString] XML_ERROR_AMPLIFICATION_LIMIT_BREACH: Final[LiteralString] if sys.version_info >= (3, 14): XML_ERROR_NOT_STARTED: Final[LiteralString] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/pyexpat/model.pyi0000644000175100017510000000044315112307767021701 0ustar00runnerrunnerfrom typing import Final XML_CTYPE_ANY: Final = 2 XML_CTYPE_EMPTY: Final = 1 XML_CTYPE_MIXED: Final = 3 XML_CTYPE_NAME: Final = 4 XML_CTYPE_CHOICE: Final = 5 XML_CTYPE_SEQ: Final = 6 XML_CQUANT_NONE: Final = 0 XML_CQUANT_OPT: Final = 1 XML_CQUANT_REP: Final = 2 XML_CQUANT_PLUS: Final = 3 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/queue.pyi0000644000175100017510000000356615112307767020244 0ustar00runnerrunnerimport sys from _queue import Empty as Empty, SimpleQueue as SimpleQueue from _typeshed import SupportsRichComparisonT from threading import Condition, Lock from types import GenericAlias from typing import Any, Generic, TypeVar __all__ = ["Empty", "Full", "Queue", "PriorityQueue", "LifoQueue", "SimpleQueue"] if sys.version_info >= (3, 13): __all__ += ["ShutDown"] _T = TypeVar("_T") class Full(Exception): ... if sys.version_info >= (3, 13): class ShutDown(Exception): ... class Queue(Generic[_T]): maxsize: int mutex: Lock # undocumented not_empty: Condition # undocumented not_full: Condition # undocumented all_tasks_done: Condition # undocumented unfinished_tasks: int # undocumented if sys.version_info >= (3, 13): is_shutdown: bool # undocumented # Despite the fact that `queue` has `deque` type, # we treat it as `Any` to allow different implementations in subtypes. queue: Any # undocumented def __init__(self, maxsize: int = 0) -> None: ... def _init(self, maxsize: int) -> None: ... def empty(self) -> bool: ... def full(self) -> bool: ... def get(self, block: bool = True, timeout: float | None = None) -> _T: ... def get_nowait(self) -> _T: ... if sys.version_info >= (3, 13): def shutdown(self, immediate: bool = False) -> None: ... def _get(self) -> _T: ... def put(self, item: _T, block: bool = True, timeout: float | None = None) -> None: ... def put_nowait(self, item: _T) -> None: ... def _put(self, item: _T) -> None: ... def join(self) -> None: ... def qsize(self) -> int: ... def _qsize(self) -> int: ... def task_done(self) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class PriorityQueue(Queue[SupportsRichComparisonT]): queue: list[SupportsRichComparisonT] class LifoQueue(Queue[_T]): queue: list[_T] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/quopri.pyi0000644000175100017510000000123515112307767020426 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer, SupportsNoArgReadline, SupportsRead, SupportsWrite from typing import Protocol, type_check_only __all__ = ["encode", "decode", "encodestring", "decodestring"] @type_check_only class _Input(SupportsRead[bytes], SupportsNoArgReadline[bytes], Protocol): ... def encode(input: _Input, output: SupportsWrite[bytes], quotetabs: int, header: bool = False) -> None: ... def encodestring(s: ReadableBuffer, quotetabs: bool = False, header: bool = False) -> bytes: ... def decode(input: _Input, output: SupportsWrite[bytes], header: bool = False) -> None: ... def decodestring(s: str | ReadableBuffer, header: bool = False) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/random.pyi0000644000175100017510000001157615112307767020400 0ustar00runnerrunnerimport _random import sys from _typeshed import SupportsLenAndGetItem from collections.abc import Callable, Iterable, MutableSequence, Sequence, Set as AbstractSet from fractions import Fraction from typing import Any, ClassVar, NoReturn, TypeVar from typing_extensions import Self __all__ = [ "Random", "seed", "random", "uniform", "randint", "choice", "sample", "randrange", "shuffle", "normalvariate", "lognormvariate", "expovariate", "vonmisesvariate", "gammavariate", "triangular", "gauss", "betavariate", "paretovariate", "weibullvariate", "getstate", "setstate", "getrandbits", "choices", "SystemRandom", "randbytes", ] if sys.version_info >= (3, 12): __all__ += ["binomialvariate"] _T = TypeVar("_T") class Random(_random.Random): VERSION: ClassVar[int] def __init__(self, x: int | float | str | bytes | bytearray | None = None) -> None: ... # noqa: Y041 # Using other `seed` types is deprecated since 3.9 and removed in 3.11 # Ignore Y041, since random.seed doesn't treat int like a float subtype. Having an explicit # int better documents conventional usage of random.seed. if sys.version_info < (3, 10): # this is a workaround for pyright correctly flagging an inconsistent inherited constructor, see #14624 def __new__(cls, x: int | float | str | bytes | bytearray | None = None) -> Self: ... # noqa: Y041 def seed(self, a: int | float | str | bytes | bytearray | None = None, version: int = 2) -> None: ... # type: ignore[override] # noqa: Y041 def getstate(self) -> tuple[Any, ...]: ... def setstate(self, state: tuple[Any, ...]) -> None: ... def randrange(self, start: int, stop: int | None = None, step: int = 1) -> int: ... def randint(self, a: int, b: int) -> int: ... def randbytes(self, n: int) -> bytes: ... def choice(self, seq: SupportsLenAndGetItem[_T]) -> _T: ... def choices( self, population: SupportsLenAndGetItem[_T], weights: Sequence[float | Fraction] | None = None, *, cum_weights: Sequence[float | Fraction] | None = None, k: int = 1, ) -> list[_T]: ... if sys.version_info >= (3, 11): def shuffle(self, x: MutableSequence[Any]) -> None: ... else: def shuffle(self, x: MutableSequence[Any], random: Callable[[], float] | None = None) -> None: ... if sys.version_info >= (3, 11): def sample(self, population: Sequence[_T], k: int, *, counts: Iterable[int] | None = None) -> list[_T]: ... else: def sample( self, population: Sequence[_T] | AbstractSet[_T], k: int, *, counts: Iterable[int] | None = None ) -> list[_T]: ... def uniform(self, a: float, b: float) -> float: ... def triangular(self, low: float = 0.0, high: float = 1.0, mode: float | None = None) -> float: ... if sys.version_info >= (3, 12): def binomialvariate(self, n: int = 1, p: float = 0.5) -> int: ... def betavariate(self, alpha: float, beta: float) -> float: ... if sys.version_info >= (3, 12): def expovariate(self, lambd: float = 1.0) -> float: ... else: def expovariate(self, lambd: float) -> float: ... def gammavariate(self, alpha: float, beta: float) -> float: ... if sys.version_info >= (3, 11): def gauss(self, mu: float = 0.0, sigma: float = 1.0) -> float: ... def normalvariate(self, mu: float = 0.0, sigma: float = 1.0) -> float: ... else: def gauss(self, mu: float, sigma: float) -> float: ... def normalvariate(self, mu: float, sigma: float) -> float: ... def lognormvariate(self, mu: float, sigma: float) -> float: ... def vonmisesvariate(self, mu: float, kappa: float) -> float: ... def paretovariate(self, alpha: float) -> float: ... def weibullvariate(self, alpha: float, beta: float) -> float: ... # SystemRandom is not implemented for all OS's; good on Windows & Linux class SystemRandom(Random): def getrandbits(self, k: int) -> int: ... # k can be passed by keyword def getstate(self, *args: Any, **kwds: Any) -> NoReturn: ... def setstate(self, *args: Any, **kwds: Any) -> NoReturn: ... _inst: Random seed = _inst.seed random = _inst.random uniform = _inst.uniform triangular = _inst.triangular randint = _inst.randint choice = _inst.choice randrange = _inst.randrange sample = _inst.sample shuffle = _inst.shuffle choices = _inst.choices normalvariate = _inst.normalvariate lognormvariate = _inst.lognormvariate expovariate = _inst.expovariate vonmisesvariate = _inst.vonmisesvariate gammavariate = _inst.gammavariate gauss = _inst.gauss if sys.version_info >= (3, 12): binomialvariate = _inst.binomialvariate betavariate = _inst.betavariate paretovariate = _inst.paretovariate weibullvariate = _inst.weibullvariate getstate = _inst.getstate setstate = _inst.setstate getrandbits = _inst.getrandbits randbytes = _inst.randbytes ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/re.pyi0000644000175100017510000002755315112307767017530 0ustar00runnerrunnerimport enum import sre_compile import sre_constants import sys from _typeshed import MaybeNone, ReadableBuffer from collections.abc import Callable, Iterator, Mapping from types import GenericAlias from typing import Any, AnyStr, Final, Generic, Literal, TypeVar, final, overload from typing_extensions import TypeAlias, deprecated __all__ = [ "match", "fullmatch", "search", "sub", "subn", "split", "findall", "finditer", "compile", "purge", "escape", "error", "A", "I", "L", "M", "S", "X", "U", "ASCII", "IGNORECASE", "LOCALE", "MULTILINE", "DOTALL", "VERBOSE", "UNICODE", "Match", "Pattern", ] if sys.version_info < (3, 13): __all__ += ["template"] if sys.version_info >= (3, 11): __all__ += ["NOFLAG", "RegexFlag"] if sys.version_info >= (3, 13): __all__ += ["PatternError"] PatternError = sre_constants.error _T = TypeVar("_T") # The implementation defines this in re._constants (version_info >= 3, 11) or # sre_constants. Typeshed has it here because its __module__ attribute is set to "re". class error(Exception): msg: str pattern: str | bytes | None pos: int | None lineno: int colno: int def __init__(self, msg: str, pattern: str | bytes | None = None, pos: int | None = None) -> None: ... @final class Match(Generic[AnyStr]): @property def pos(self) -> int: ... @property def endpos(self) -> int: ... @property def lastindex(self) -> int | None: ... @property def lastgroup(self) -> str | None: ... @property def string(self) -> AnyStr: ... # The regular expression object whose match() or search() method produced # this match instance. @property def re(self) -> Pattern[AnyStr]: ... @overload def expand(self: Match[str], template: str) -> str: ... @overload def expand(self: Match[bytes], template: ReadableBuffer) -> bytes: ... @overload def expand(self, template: AnyStr) -> AnyStr: ... # group() returns "AnyStr" or "AnyStr | None", depending on the pattern. @overload def group(self, group: Literal[0] = 0, /) -> AnyStr: ... @overload def group(self, group: str | int, /) -> AnyStr | MaybeNone: ... @overload def group(self, group1: str | int, group2: str | int, /, *groups: str | int) -> tuple[AnyStr | MaybeNone, ...]: ... # Each item of groups()'s return tuple is either "AnyStr" or # "AnyStr | None", depending on the pattern. @overload def groups(self) -> tuple[AnyStr | MaybeNone, ...]: ... @overload def groups(self, default: _T) -> tuple[AnyStr | _T, ...]: ... # Each value in groupdict()'s return dict is either "AnyStr" or # "AnyStr | None", depending on the pattern. @overload def groupdict(self) -> dict[str, AnyStr | MaybeNone]: ... @overload def groupdict(self, default: _T) -> dict[str, AnyStr | _T]: ... def start(self, group: int | str = 0, /) -> int: ... def end(self, group: int | str = 0, /) -> int: ... def span(self, group: int | str = 0, /) -> tuple[int, int]: ... @property def regs(self) -> tuple[tuple[int, int], ...]: ... # undocumented # __getitem__() returns "AnyStr" or "AnyStr | None", depending on the pattern. @overload def __getitem__(self, key: Literal[0], /) -> AnyStr: ... @overload def __getitem__(self, key: int | str, /) -> AnyStr | MaybeNone: ... def __copy__(self) -> Match[AnyStr]: ... def __deepcopy__(self, memo: Any, /) -> Match[AnyStr]: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @final class Pattern(Generic[AnyStr]): @property def flags(self) -> int: ... @property def groupindex(self) -> Mapping[str, int]: ... @property def groups(self) -> int: ... @property def pattern(self) -> AnyStr: ... @overload def search(self: Pattern[str], string: str, pos: int = 0, endpos: int = sys.maxsize) -> Match[str] | None: ... @overload def search(self: Pattern[bytes], string: ReadableBuffer, pos: int = 0, endpos: int = sys.maxsize) -> Match[bytes] | None: ... @overload def search(self, string: AnyStr, pos: int = 0, endpos: int = sys.maxsize) -> Match[AnyStr] | None: ... @overload def match(self: Pattern[str], string: str, pos: int = 0, endpos: int = sys.maxsize) -> Match[str] | None: ... @overload def match(self: Pattern[bytes], string: ReadableBuffer, pos: int = 0, endpos: int = sys.maxsize) -> Match[bytes] | None: ... @overload def match(self, string: AnyStr, pos: int = 0, endpos: int = sys.maxsize) -> Match[AnyStr] | None: ... @overload def fullmatch(self: Pattern[str], string: str, pos: int = 0, endpos: int = sys.maxsize) -> Match[str] | None: ... @overload def fullmatch( self: Pattern[bytes], string: ReadableBuffer, pos: int = 0, endpos: int = sys.maxsize ) -> Match[bytes] | None: ... @overload def fullmatch(self, string: AnyStr, pos: int = 0, endpos: int = sys.maxsize) -> Match[AnyStr] | None: ... @overload def split(self: Pattern[str], string: str, maxsplit: int = 0) -> list[str | MaybeNone]: ... @overload def split(self: Pattern[bytes], string: ReadableBuffer, maxsplit: int = 0) -> list[bytes | MaybeNone]: ... @overload def split(self, string: AnyStr, maxsplit: int = 0) -> list[AnyStr | MaybeNone]: ... # return type depends on the number of groups in the pattern @overload def findall(self: Pattern[str], string: str, pos: int = 0, endpos: int = sys.maxsize) -> list[Any]: ... @overload def findall(self: Pattern[bytes], string: ReadableBuffer, pos: int = 0, endpos: int = sys.maxsize) -> list[Any]: ... @overload def findall(self, string: AnyStr, pos: int = 0, endpos: int = sys.maxsize) -> list[AnyStr]: ... @overload def finditer(self: Pattern[str], string: str, pos: int = 0, endpos: int = sys.maxsize) -> Iterator[Match[str]]: ... @overload def finditer( self: Pattern[bytes], string: ReadableBuffer, pos: int = 0, endpos: int = sys.maxsize ) -> Iterator[Match[bytes]]: ... @overload def finditer(self, string: AnyStr, pos: int = 0, endpos: int = sys.maxsize) -> Iterator[Match[AnyStr]]: ... @overload def sub(self: Pattern[str], repl: str | Callable[[Match[str]], str], string: str, count: int = 0) -> str: ... @overload def sub( self: Pattern[bytes], repl: ReadableBuffer | Callable[[Match[bytes]], ReadableBuffer], string: ReadableBuffer, count: int = 0, ) -> bytes: ... @overload def sub(self, repl: AnyStr | Callable[[Match[AnyStr]], AnyStr], string: AnyStr, count: int = 0) -> AnyStr: ... @overload def subn(self: Pattern[str], repl: str | Callable[[Match[str]], str], string: str, count: int = 0) -> tuple[str, int]: ... @overload def subn( self: Pattern[bytes], repl: ReadableBuffer | Callable[[Match[bytes]], ReadableBuffer], string: ReadableBuffer, count: int = 0, ) -> tuple[bytes, int]: ... @overload def subn(self, repl: AnyStr | Callable[[Match[AnyStr]], AnyStr], string: AnyStr, count: int = 0) -> tuple[AnyStr, int]: ... def __copy__(self) -> Pattern[AnyStr]: ... def __deepcopy__(self, memo: Any, /) -> Pattern[AnyStr]: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... # ----- re variables and constants ----- class RegexFlag(enum.IntFlag): A = sre_compile.SRE_FLAG_ASCII ASCII = A DEBUG = sre_compile.SRE_FLAG_DEBUG I = sre_compile.SRE_FLAG_IGNORECASE IGNORECASE = I L = sre_compile.SRE_FLAG_LOCALE LOCALE = L M = sre_compile.SRE_FLAG_MULTILINE MULTILINE = M S = sre_compile.SRE_FLAG_DOTALL DOTALL = S X = sre_compile.SRE_FLAG_VERBOSE VERBOSE = X U = sre_compile.SRE_FLAG_UNICODE UNICODE = U if sys.version_info < (3, 13): T = sre_compile.SRE_FLAG_TEMPLATE TEMPLATE = T if sys.version_info >= (3, 11): NOFLAG = 0 A: Final = RegexFlag.A ASCII: Final = RegexFlag.ASCII DEBUG: Final = RegexFlag.DEBUG I: Final = RegexFlag.I IGNORECASE: Final = RegexFlag.IGNORECASE L: Final = RegexFlag.L LOCALE: Final = RegexFlag.LOCALE M: Final = RegexFlag.M MULTILINE: Final = RegexFlag.MULTILINE S: Final = RegexFlag.S DOTALL: Final = RegexFlag.DOTALL X: Final = RegexFlag.X VERBOSE: Final = RegexFlag.VERBOSE U: Final = RegexFlag.U UNICODE: Final = RegexFlag.UNICODE if sys.version_info < (3, 13): T: Final = RegexFlag.T TEMPLATE: Final = RegexFlag.TEMPLATE if sys.version_info >= (3, 11): NOFLAG: Final = RegexFlag.NOFLAG _FlagsType: TypeAlias = int | RegexFlag # Type-wise the compile() overloads are unnecessary, they could also be modeled using # unions in the parameter types. However mypy has a bug regarding TypeVar # constraints (https://github.com/python/mypy/issues/11880), # which limits us here because AnyStr is a constrained TypeVar. # pattern arguments do *not* accept arbitrary buffers such as bytearray, # because the pattern must be hashable. @overload def compile(pattern: AnyStr, flags: _FlagsType = 0) -> Pattern[AnyStr]: ... @overload def compile(pattern: Pattern[AnyStr], flags: _FlagsType = 0) -> Pattern[AnyStr]: ... @overload def search(pattern: str | Pattern[str], string: str, flags: _FlagsType = 0) -> Match[str] | None: ... @overload def search(pattern: bytes | Pattern[bytes], string: ReadableBuffer, flags: _FlagsType = 0) -> Match[bytes] | None: ... @overload def match(pattern: str | Pattern[str], string: str, flags: _FlagsType = 0) -> Match[str] | None: ... @overload def match(pattern: bytes | Pattern[bytes], string: ReadableBuffer, flags: _FlagsType = 0) -> Match[bytes] | None: ... @overload def fullmatch(pattern: str | Pattern[str], string: str, flags: _FlagsType = 0) -> Match[str] | None: ... @overload def fullmatch(pattern: bytes | Pattern[bytes], string: ReadableBuffer, flags: _FlagsType = 0) -> Match[bytes] | None: ... @overload def split(pattern: str | Pattern[str], string: str, maxsplit: int = 0, flags: _FlagsType = 0) -> list[str | MaybeNone]: ... @overload def split( pattern: bytes | Pattern[bytes], string: ReadableBuffer, maxsplit: int = 0, flags: _FlagsType = 0 ) -> list[bytes | MaybeNone]: ... @overload def findall(pattern: str | Pattern[str], string: str, flags: _FlagsType = 0) -> list[Any]: ... @overload def findall(pattern: bytes | Pattern[bytes], string: ReadableBuffer, flags: _FlagsType = 0) -> list[Any]: ... @overload def finditer(pattern: str | Pattern[str], string: str, flags: _FlagsType = 0) -> Iterator[Match[str]]: ... @overload def finditer(pattern: bytes | Pattern[bytes], string: ReadableBuffer, flags: _FlagsType = 0) -> Iterator[Match[bytes]]: ... @overload def sub( pattern: str | Pattern[str], repl: str | Callable[[Match[str]], str], string: str, count: int = 0, flags: _FlagsType = 0 ) -> str: ... @overload def sub( pattern: bytes | Pattern[bytes], repl: ReadableBuffer | Callable[[Match[bytes]], ReadableBuffer], string: ReadableBuffer, count: int = 0, flags: _FlagsType = 0, ) -> bytes: ... @overload def subn( pattern: str | Pattern[str], repl: str | Callable[[Match[str]], str], string: str, count: int = 0, flags: _FlagsType = 0 ) -> tuple[str, int]: ... @overload def subn( pattern: bytes | Pattern[bytes], repl: ReadableBuffer | Callable[[Match[bytes]], ReadableBuffer], string: ReadableBuffer, count: int = 0, flags: _FlagsType = 0, ) -> tuple[bytes, int]: ... def escape(pattern: AnyStr) -> AnyStr: ... def purge() -> None: ... if sys.version_info < (3, 13): if sys.version_info >= (3, 11): @deprecated("Deprecated since Python 3.11; removed in Python 3.13. Use `re.compile()` instead.") def template(pattern: AnyStr | Pattern[AnyStr], flags: _FlagsType = 0) -> Pattern[AnyStr]: ... # undocumented else: def template(pattern: AnyStr | Pattern[AnyStr], flags: _FlagsType = 0) -> Pattern[AnyStr]: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/readline.pyi0000644000175100017510000000370415112307767020675 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from collections.abc import Callable, Sequence from typing import Literal from typing_extensions import TypeAlias if sys.platform != "win32": _Completer: TypeAlias = Callable[[str, int], str | None] _CompDisp: TypeAlias = Callable[[str, Sequence[str], int], None] def parse_and_bind(string: str, /) -> None: ... def read_init_file(filename: StrOrBytesPath | None = None, /) -> None: ... def get_line_buffer() -> str: ... def insert_text(string: str, /) -> None: ... def redisplay() -> None: ... def read_history_file(filename: StrOrBytesPath | None = None, /) -> None: ... def write_history_file(filename: StrOrBytesPath | None = None, /) -> None: ... def append_history_file(nelements: int, filename: StrOrBytesPath | None = None, /) -> None: ... def get_history_length() -> int: ... def set_history_length(length: int, /) -> None: ... def clear_history() -> None: ... def get_current_history_length() -> int: ... def get_history_item(index: int, /) -> str: ... def remove_history_item(pos: int, /) -> None: ... def replace_history_item(pos: int, line: str, /) -> None: ... def add_history(string: str, /) -> None: ... def set_auto_history(enabled: bool, /) -> None: ... def set_startup_hook(function: Callable[[], object] | None = None, /) -> None: ... def set_pre_input_hook(function: Callable[[], object] | None = None, /) -> None: ... def set_completer(function: _Completer | None = None, /) -> None: ... def get_completer() -> _Completer | None: ... def get_completion_type() -> int: ... def get_begidx() -> int: ... def get_endidx() -> int: ... def set_completer_delims(string: str, /) -> None: ... def get_completer_delims() -> str: ... def set_completion_display_matches_hook(function: _CompDisp | None = None, /) -> None: ... if sys.version_info >= (3, 13): backend: Literal["readline", "editline"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/reprlib.pyi0000644000175100017510000000370215112307767020547 0ustar00runnerrunnerimport sys from array import array from collections import deque from collections.abc import Callable from typing import Any from typing_extensions import TypeAlias __all__ = ["Repr", "repr", "recursive_repr"] _ReprFunc: TypeAlias = Callable[[Any], str] def recursive_repr(fillvalue: str = "...") -> Callable[[_ReprFunc], _ReprFunc]: ... class Repr: maxlevel: int maxdict: int maxlist: int maxtuple: int maxset: int maxfrozenset: int maxdeque: int maxarray: int maxlong: int maxstring: int maxother: int if sys.version_info >= (3, 11): fillvalue: str if sys.version_info >= (3, 12): indent: str | int | None if sys.version_info >= (3, 12): def __init__( self, *, maxlevel: int = 6, maxtuple: int = 6, maxlist: int = 6, maxarray: int = 5, maxdict: int = 4, maxset: int = 6, maxfrozenset: int = 6, maxdeque: int = 6, maxstring: int = 30, maxlong: int = 40, maxother: int = 30, fillvalue: str = "...", indent: str | int | None = None, ) -> None: ... def repr(self, x: Any) -> str: ... def repr1(self, x: Any, level: int) -> str: ... def repr_tuple(self, x: tuple[Any, ...], level: int) -> str: ... def repr_list(self, x: list[Any], level: int) -> str: ... def repr_array(self, x: array[Any], level: int) -> str: ... def repr_set(self, x: set[Any], level: int) -> str: ... def repr_frozenset(self, x: frozenset[Any], level: int) -> str: ... def repr_deque(self, x: deque[Any], level: int) -> str: ... def repr_dict(self, x: dict[Any, Any], level: int) -> str: ... def repr_str(self, x: str, level: int) -> str: ... def repr_int(self, x: int, level: int) -> str: ... def repr_instance(self, x: Any, level: int) -> str: ... aRepr: Repr def repr(x: object) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/resource.pyi0000644000175100017510000000563415112307767020745 0ustar00runnerrunnerimport sys from _typeshed import structseq from typing import Final, final if sys.platform != "win32": # Depends on resource.h RLIMIT_AS: Final[int] RLIMIT_CORE: Final[int] RLIMIT_CPU: Final[int] RLIMIT_DATA: Final[int] RLIMIT_FSIZE: Final[int] RLIMIT_MEMLOCK: Final[int] RLIMIT_NOFILE: Final[int] RLIMIT_NPROC: Final[int] RLIMIT_RSS: Final[int] RLIMIT_STACK: Final[int] RLIM_INFINITY: Final[int] RUSAGE_CHILDREN: Final[int] RUSAGE_SELF: Final[int] if sys.platform == "linux": RLIMIT_MSGQUEUE: Final[int] RLIMIT_NICE: Final[int] RLIMIT_OFILE: Final[int] RLIMIT_RTPRIO: Final[int] RLIMIT_RTTIME: Final[int] RLIMIT_SIGPENDING: Final[int] RUSAGE_THREAD: Final[int] @final class struct_rusage( structseq[float], tuple[float, float, int, int, int, int, int, int, int, int, int, int, int, int, int, int] ): if sys.version_info >= (3, 10): __match_args__: Final = ( "ru_utime", "ru_stime", "ru_maxrss", "ru_ixrss", "ru_idrss", "ru_isrss", "ru_minflt", "ru_majflt", "ru_nswap", "ru_inblock", "ru_oublock", "ru_msgsnd", "ru_msgrcv", "ru_nsignals", "ru_nvcsw", "ru_nivcsw", ) @property def ru_utime(self) -> float: ... @property def ru_stime(self) -> float: ... @property def ru_maxrss(self) -> int: ... @property def ru_ixrss(self) -> int: ... @property def ru_idrss(self) -> int: ... @property def ru_isrss(self) -> int: ... @property def ru_minflt(self) -> int: ... @property def ru_majflt(self) -> int: ... @property def ru_nswap(self) -> int: ... @property def ru_inblock(self) -> int: ... @property def ru_oublock(self) -> int: ... @property def ru_msgsnd(self) -> int: ... @property def ru_msgrcv(self) -> int: ... @property def ru_nsignals(self) -> int: ... @property def ru_nvcsw(self) -> int: ... @property def ru_nivcsw(self) -> int: ... def getpagesize() -> int: ... def getrlimit(resource: int, /) -> tuple[int, int]: ... def getrusage(who: int, /) -> struct_rusage: ... def setrlimit(resource: int, limits: tuple[int, int], /) -> None: ... if sys.platform == "linux": if sys.version_info >= (3, 12): def prlimit(pid: int, resource: int, limits: tuple[int, int] | None = None, /) -> tuple[int, int]: ... else: def prlimit(pid: int, resource: int, limits: tuple[int, int] = ..., /) -> tuple[int, int]: ... error = OSError ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/rlcompleter.pyi0000644000175100017510000000050215112307767021433 0ustar00runnerrunnerfrom typing import Any __all__ = ["Completer"] class Completer: def __init__(self, namespace: dict[str, Any] | None = None) -> None: ... def complete(self, text: str, state: int) -> str | None: ... def attr_matches(self, text: str) -> list[str]: ... def global_matches(self, text: str) -> list[str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/runpy.pyi0000644000175100017510000000145315112307767020266 0ustar00runnerrunnerfrom _typeshed import Unused from types import ModuleType from typing import Any from typing_extensions import Self __all__ = ["run_module", "run_path"] class _TempModule: mod_name: str module: ModuleType def __init__(self, mod_name: str) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... class _ModifiedArgv0: value: Any def __init__(self, value: Any) -> None: ... def __enter__(self) -> None: ... def __exit__(self, *args: Unused) -> None: ... def run_module( mod_name: str, init_globals: dict[str, Any] | None = None, run_name: str | None = None, alter_sys: bool = False ) -> dict[str, Any]: ... def run_path(path_name: str, init_globals: dict[str, Any] | None = None, run_name: str | None = None) -> dict[str, Any]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sched.pyi0000644000175100017510000000270515112307767020200 0ustar00runnerrunnerimport sys from collections.abc import Callable from typing import Any, ClassVar, NamedTuple, type_check_only from typing_extensions import TypeAlias __all__ = ["scheduler"] _ActionCallback: TypeAlias = Callable[..., Any] if sys.version_info >= (3, 10): class Event(NamedTuple): time: float priority: Any sequence: int action: _ActionCallback argument: tuple[Any, ...] kwargs: dict[str, Any] else: @type_check_only class _EventBase(NamedTuple): time: float priority: Any action: _ActionCallback argument: tuple[Any, ...] kwargs: dict[str, Any] class Event(_EventBase): __hash__: ClassVar[None] # type: ignore[assignment] class scheduler: timefunc: Callable[[], float] delayfunc: Callable[[float], object] def __init__(self, timefunc: Callable[[], float] = ..., delayfunc: Callable[[float], object] = ...) -> None: ... def enterabs( self, time: float, priority: Any, action: _ActionCallback, argument: tuple[Any, ...] = (), kwargs: dict[str, Any] = ... ) -> Event: ... def enter( self, delay: float, priority: Any, action: _ActionCallback, argument: tuple[Any, ...] = (), kwargs: dict[str, Any] = ... ) -> Event: ... def run(self, blocking: bool = True) -> float | None: ... def cancel(self, event: Event) -> None: ... def empty(self) -> bool: ... @property def queue(self) -> list[Event]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/secrets.pyi0000644000175100017510000000116015112307767020554 0ustar00runnerrunnerfrom _typeshed import SupportsLenAndGetItem from hmac import compare_digest as compare_digest from random import SystemRandom as SystemRandom from typing import TypeVar __all__ = ["choice", "randbelow", "randbits", "SystemRandom", "token_bytes", "token_hex", "token_urlsafe", "compare_digest"] _T = TypeVar("_T") def randbelow(exclusive_upper_bound: int) -> int: ... def randbits(k: int) -> int: ... def choice(seq: SupportsLenAndGetItem[_T]) -> _T: ... def token_bytes(nbytes: int | None = None) -> bytes: ... def token_hex(nbytes: int | None = None) -> str: ... def token_urlsafe(nbytes: int | None = None) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/select.pyi0000644000175100017510000001272215112307767020371 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptorLike from collections.abc import Iterable from types import TracebackType from typing import Any, ClassVar, Final, TypeVar, final from typing_extensions import Never, Self if sys.platform != "win32": PIPE_BUF: Final[int] POLLERR: Final[int] POLLHUP: Final[int] POLLIN: Final[int] if sys.platform == "linux": POLLMSG: Final[int] POLLNVAL: Final[int] POLLOUT: Final[int] POLLPRI: Final[int] POLLRDBAND: Final[int] if sys.platform == "linux": POLLRDHUP: Final[int] POLLRDNORM: Final[int] POLLWRBAND: Final[int] POLLWRNORM: Final[int] # This is actually a function that returns an instance of a class. # The class is not accessible directly, and also calls itself select.poll. class poll: # default value is select.POLLIN | select.POLLPRI | select.POLLOUT def register(self, fd: FileDescriptorLike, eventmask: int = 7, /) -> None: ... def modify(self, fd: FileDescriptorLike, eventmask: int, /) -> None: ... def unregister(self, fd: FileDescriptorLike, /) -> None: ... def poll(self, timeout: float | None = None, /) -> list[tuple[int, int]]: ... _R = TypeVar("_R", default=Never) _W = TypeVar("_W", default=Never) _X = TypeVar("_X", default=Never) def select( rlist: Iterable[_R], wlist: Iterable[_W], xlist: Iterable[_X], timeout: float | None = None, / ) -> tuple[list[_R], list[_W], list[_X]]: ... error = OSError if sys.platform != "linux" and sys.platform != "win32": # BSD only @final class kevent: data: Any fflags: int filter: int flags: int ident: int udata: Any def __init__( self, ident: FileDescriptorLike, filter: int = ..., flags: int = ..., fflags: int = ..., data: Any = ..., udata: Any = ..., ) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] # BSD only @final class kqueue: closed: bool def __init__(self) -> None: ... def close(self) -> None: ... def control( self, changelist: Iterable[kevent] | None, maxevents: int, timeout: float | None = None, / ) -> list[kevent]: ... def fileno(self) -> int: ... @classmethod def fromfd(cls, fd: FileDescriptorLike, /) -> kqueue: ... KQ_EV_ADD: Final[int] KQ_EV_CLEAR: Final[int] KQ_EV_DELETE: Final[int] KQ_EV_DISABLE: Final[int] KQ_EV_ENABLE: Final[int] KQ_EV_EOF: Final[int] KQ_EV_ERROR: Final[int] KQ_EV_FLAG1: Final[int] KQ_EV_ONESHOT: Final[int] KQ_EV_SYSFLAGS: Final[int] KQ_FILTER_AIO: Final[int] if sys.platform != "darwin": KQ_FILTER_NETDEV: Final[int] KQ_FILTER_PROC: Final[int] KQ_FILTER_READ: Final[int] KQ_FILTER_SIGNAL: Final[int] KQ_FILTER_TIMER: Final[int] KQ_FILTER_VNODE: Final[int] KQ_FILTER_WRITE: Final[int] KQ_NOTE_ATTRIB: Final[int] KQ_NOTE_CHILD: Final[int] KQ_NOTE_DELETE: Final[int] KQ_NOTE_EXEC: Final[int] KQ_NOTE_EXIT: Final[int] KQ_NOTE_EXTEND: Final[int] KQ_NOTE_FORK: Final[int] KQ_NOTE_LINK: Final[int] if sys.platform != "darwin": KQ_NOTE_LINKDOWN: Final[int] KQ_NOTE_LINKINV: Final[int] KQ_NOTE_LINKUP: Final[int] KQ_NOTE_LOWAT: Final[int] KQ_NOTE_PCTRLMASK: Final[int] KQ_NOTE_PDATAMASK: Final[int] KQ_NOTE_RENAME: Final[int] KQ_NOTE_REVOKE: Final[int] KQ_NOTE_TRACK: Final[int] KQ_NOTE_TRACKERR: Final[int] KQ_NOTE_WRITE: Final[int] if sys.platform == "linux": @final class epoll: def __new__(self, sizehint: int = ..., flags: int = ...) -> Self: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None = None, exc_value: BaseException | None = ..., exc_tb: TracebackType | None = None, /, ) -> None: ... def close(self) -> None: ... closed: bool def fileno(self) -> int: ... def register(self, fd: FileDescriptorLike, eventmask: int = ...) -> None: ... def modify(self, fd: FileDescriptorLike, eventmask: int) -> None: ... def unregister(self, fd: FileDescriptorLike) -> None: ... def poll(self, timeout: float | None = None, maxevents: int = -1) -> list[tuple[int, int]]: ... @classmethod def fromfd(cls, fd: FileDescriptorLike, /) -> epoll: ... EPOLLERR: Final[int] EPOLLEXCLUSIVE: Final[int] EPOLLET: Final[int] EPOLLHUP: Final[int] EPOLLIN: Final[int] EPOLLMSG: Final[int] EPOLLONESHOT: Final[int] EPOLLOUT: Final[int] EPOLLPRI: Final[int] EPOLLRDBAND: Final[int] EPOLLRDHUP: Final[int] EPOLLRDNORM: Final[int] EPOLLWRBAND: Final[int] EPOLLWRNORM: Final[int] EPOLL_CLOEXEC: Final[int] if sys.version_info >= (3, 14): EPOLLWAKEUP: Final[int] if sys.platform != "linux" and sys.platform != "darwin" and sys.platform != "win32": # Solaris only class devpoll: def close(self) -> None: ... closed: bool def fileno(self) -> int: ... def register(self, fd: FileDescriptorLike, eventmask: int = ...) -> None: ... def modify(self, fd: FileDescriptorLike, eventmask: int = ...) -> None: ... def unregister(self, fd: FileDescriptorLike) -> None: ... def poll(self, timeout: float | None = ...) -> list[tuple[int, int]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/selectors.pyi0000644000175100017510000000555715112307767021125 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptor, FileDescriptorLike, Unused from abc import ABCMeta, abstractmethod from collections.abc import Mapping from typing import Any, Final, NamedTuple from typing_extensions import Self, TypeAlias _EventMask: TypeAlias = int EVENT_READ: Final = 1 EVENT_WRITE: Final = 2 class SelectorKey(NamedTuple): fileobj: FileDescriptorLike fd: FileDescriptor events: _EventMask data: Any class BaseSelector(metaclass=ABCMeta): @abstractmethod def register(self, fileobj: FileDescriptorLike, events: _EventMask, data: Any = None) -> SelectorKey: ... @abstractmethod def unregister(self, fileobj: FileDescriptorLike) -> SelectorKey: ... def modify(self, fileobj: FileDescriptorLike, events: _EventMask, data: Any = None) -> SelectorKey: ... @abstractmethod def select(self, timeout: float | None = None) -> list[tuple[SelectorKey, _EventMask]]: ... def close(self) -> None: ... def get_key(self, fileobj: FileDescriptorLike) -> SelectorKey: ... @abstractmethod def get_map(self) -> Mapping[FileDescriptorLike, SelectorKey]: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... class _BaseSelectorImpl(BaseSelector, metaclass=ABCMeta): def register(self, fileobj: FileDescriptorLike, events: _EventMask, data: Any = None) -> SelectorKey: ... def unregister(self, fileobj: FileDescriptorLike) -> SelectorKey: ... def modify(self, fileobj: FileDescriptorLike, events: _EventMask, data: Any = None) -> SelectorKey: ... def get_map(self) -> Mapping[FileDescriptorLike, SelectorKey]: ... class SelectSelector(_BaseSelectorImpl): def select(self, timeout: float | None = None) -> list[tuple[SelectorKey, _EventMask]]: ... class _PollLikeSelector(_BaseSelectorImpl): def select(self, timeout: float | None = None) -> list[tuple[SelectorKey, _EventMask]]: ... if sys.platform != "win32": class PollSelector(_PollLikeSelector): ... if sys.platform == "linux": class EpollSelector(_PollLikeSelector): def fileno(self) -> int: ... if sys.platform != "linux" and sys.platform != "darwin" and sys.platform != "win32": # Solaris only class DevpollSelector(_PollLikeSelector): def fileno(self) -> int: ... if sys.platform != "win32" and sys.platform != "linux": class KqueueSelector(_BaseSelectorImpl): def fileno(self) -> int: ... def select(self, timeout: float | None = None) -> list[tuple[SelectorKey, _EventMask]]: ... # Not a real class at runtime, it is just a conditional alias to other real selectors. # The runtime logic is more fine-grained than a `sys.platform` check; # not really expressible in the stubs class DefaultSelector(_BaseSelectorImpl): def select(self, timeout: float | None = None) -> list[tuple[SelectorKey, _EventMask]]: ... if sys.platform != "win32": def fileno(self) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/shelve.pyi0000644000175100017510000000444715112307767020405 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from collections.abc import Iterator, MutableMapping from dbm import _TFlags from types import TracebackType from typing import Any, TypeVar, overload from typing_extensions import Self __all__ = ["Shelf", "BsdDbShelf", "DbfilenameShelf", "open"] _T = TypeVar("_T") _VT = TypeVar("_VT") class Shelf(MutableMapping[str, _VT]): def __init__( self, dict: MutableMapping[bytes, bytes], protocol: int | None = None, writeback: bool = False, keyencoding: str = "utf-8" ) -> None: ... def __iter__(self) -> Iterator[str]: ... def __len__(self) -> int: ... @overload # type: ignore[override] def get(self, key: str, default: None = None) -> _VT | None: ... @overload def get(self, key: str, default: _VT) -> _VT: ... @overload def get(self, key: str, default: _T) -> _VT | _T: ... def __getitem__(self, key: str) -> _VT: ... def __setitem__(self, key: str, value: _VT) -> None: ... def __delitem__(self, key: str) -> None: ... def __contains__(self, key: str) -> bool: ... # type: ignore[override] def __enter__(self) -> Self: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... def __del__(self) -> None: ... def close(self) -> None: ... def sync(self) -> None: ... class BsdDbShelf(Shelf[_VT]): def set_location(self, key: str) -> tuple[str, _VT]: ... def next(self) -> tuple[str, _VT]: ... def previous(self) -> tuple[str, _VT]: ... def first(self) -> tuple[str, _VT]: ... def last(self) -> tuple[str, _VT]: ... class DbfilenameShelf(Shelf[_VT]): if sys.version_info >= (3, 11): def __init__( self, filename: StrOrBytesPath, flag: _TFlags = "c", protocol: int | None = None, writeback: bool = False ) -> None: ... else: def __init__(self, filename: str, flag: _TFlags = "c", protocol: int | None = None, writeback: bool = False) -> None: ... if sys.version_info >= (3, 11): def open( filename: StrOrBytesPath, flag: _TFlags = "c", protocol: int | None = None, writeback: bool = False ) -> Shelf[Any]: ... else: def open(filename: str, flag: _TFlags = "c", protocol: int | None = None, writeback: bool = False) -> Shelf[Any]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/shlex.pyi0000644000175100017510000000421715112307767020235 0ustar00runnerrunnerimport sys from collections import deque from collections.abc import Iterable from io import TextIOWrapper from typing import Literal, Protocol, overload, type_check_only from typing_extensions import Self, deprecated __all__ = ["shlex", "split", "quote", "join"] @type_check_only class _ShlexInstream(Protocol): def read(self, size: Literal[1], /) -> str: ... def readline(self) -> object: ... def close(self) -> object: ... if sys.version_info >= (3, 12): def split(s: str | _ShlexInstream, comments: bool = False, posix: bool = True) -> list[str]: ... else: @overload def split(s: str | _ShlexInstream, comments: bool = False, posix: bool = True) -> list[str]: ... @overload @deprecated("Passing None for 's' to shlex.split() is deprecated and will raise an error in Python 3.12.") def split(s: None, comments: bool = False, posix: bool = True) -> list[str]: ... def join(split_command: Iterable[str]) -> str: ... def quote(s: str) -> str: ... # TODO: Make generic over infile once PEP 696 is implemented. class shlex: commenters: str wordchars: str whitespace: str escape: str quotes: str escapedquotes: str whitespace_split: bool infile: str | None instream: _ShlexInstream source: str debug: int lineno: int token: str filestack: deque[tuple[str | None, _ShlexInstream, int]] eof: str | None @property def punctuation_chars(self) -> str: ... def __init__( self, instream: str | _ShlexInstream | None = None, infile: str | None = None, posix: bool = False, punctuation_chars: bool | str = False, ) -> None: ... def get_token(self) -> str | None: ... def push_token(self, tok: str) -> None: ... def read_token(self) -> str | None: ... def sourcehook(self, newfile: str) -> tuple[str, TextIOWrapper] | None: ... def push_source(self, newstream: str | _ShlexInstream, newfile: str | None = None) -> None: ... def pop_source(self) -> None: ... def error_leader(self, infile: str | None = None, lineno: int | None = None) -> str: ... def __iter__(self) -> Self: ... def __next__(self) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/shutil.pyi0000644000175100017510000002025215112307767020417 0ustar00runnerrunnerimport os import sys from _typeshed import BytesPath, ExcInfo, FileDescriptorOrPath, MaybeNone, StrOrBytesPath, StrPath, SupportsRead, SupportsWrite from collections.abc import Callable, Iterable, Sequence from tarfile import _TarfileFilter from typing import Any, AnyStr, NamedTuple, NoReturn, Protocol, TypeVar, overload, type_check_only from typing_extensions import TypeAlias, deprecated __all__ = [ "copyfileobj", "copyfile", "copymode", "copystat", "copy", "copy2", "copytree", "move", "rmtree", "Error", "SpecialFileError", "make_archive", "get_archive_formats", "register_archive_format", "unregister_archive_format", "get_unpack_formats", "register_unpack_format", "unregister_unpack_format", "unpack_archive", "ignore_patterns", "chown", "which", "get_terminal_size", "SameFileError", "disk_usage", ] if sys.version_info < (3, 14): __all__ += ["ExecError"] _StrOrBytesPathT = TypeVar("_StrOrBytesPathT", bound=StrOrBytesPath) _StrPathT = TypeVar("_StrPathT", bound=StrPath) _BytesPathT = TypeVar("_BytesPathT", bound=BytesPath) class Error(OSError): ... class SameFileError(Error): ... class SpecialFileError(OSError): ... if sys.version_info >= (3, 14): ExecError = RuntimeError # Deprecated in Python 3.14; removal scheduled for Python 3.16 else: class ExecError(OSError): ... class ReadError(OSError): ... class RegistryError(Exception): ... def copyfileobj(fsrc: SupportsRead[AnyStr], fdst: SupportsWrite[AnyStr], length: int = 0) -> None: ... def copyfile(src: StrOrBytesPath, dst: _StrOrBytesPathT, *, follow_symlinks: bool = True) -> _StrOrBytesPathT: ... def copymode(src: StrOrBytesPath, dst: StrOrBytesPath, *, follow_symlinks: bool = True) -> None: ... def copystat(src: StrOrBytesPath, dst: StrOrBytesPath, *, follow_symlinks: bool = True) -> None: ... @overload def copy(src: StrPath, dst: _StrPathT, *, follow_symlinks: bool = True) -> _StrPathT | str: ... @overload def copy(src: BytesPath, dst: _BytesPathT, *, follow_symlinks: bool = True) -> _BytesPathT | bytes: ... @overload def copy2(src: StrPath, dst: _StrPathT, *, follow_symlinks: bool = True) -> _StrPathT | str: ... @overload def copy2(src: BytesPath, dst: _BytesPathT, *, follow_symlinks: bool = True) -> _BytesPathT | bytes: ... def ignore_patterns(*patterns: StrPath) -> Callable[[Any, list[str]], set[str]]: ... def copytree( src: StrPath, dst: _StrPathT, symlinks: bool = False, ignore: None | Callable[[str, list[str]], Iterable[str]] | Callable[[StrPath, list[str]], Iterable[str]] = None, copy_function: Callable[[str, str], object] = ..., ignore_dangling_symlinks: bool = False, dirs_exist_ok: bool = False, ) -> _StrPathT: ... _OnErrorCallback: TypeAlias = Callable[[Callable[..., Any], str, ExcInfo], object] _OnExcCallback: TypeAlias = Callable[[Callable[..., Any], str, BaseException], object] @type_check_only class _RmtreeType(Protocol): avoids_symlink_attacks: bool if sys.version_info >= (3, 12): @overload @deprecated("The `onerror` parameter is deprecated. Use `onexc` instead.") def __call__( self, path: StrOrBytesPath, ignore_errors: bool, onerror: _OnErrorCallback | None, *, onexc: None = None, dir_fd: int | None = None, ) -> None: ... @overload @deprecated("The `onerror` parameter is deprecated. Use `onexc` instead.") def __call__( self, path: StrOrBytesPath, ignore_errors: bool = False, *, onerror: _OnErrorCallback | None, onexc: None = None, dir_fd: int | None = None, ) -> None: ... @overload def __call__( self, path: StrOrBytesPath, ignore_errors: bool = False, *, onexc: _OnExcCallback | None = None, dir_fd: int | None = None, ) -> None: ... elif sys.version_info >= (3, 11): def __call__( self, path: StrOrBytesPath, ignore_errors: bool = False, onerror: _OnErrorCallback | None = None, *, dir_fd: int | None = None, ) -> None: ... else: def __call__( self, path: StrOrBytesPath, ignore_errors: bool = False, onerror: _OnErrorCallback | None = None ) -> None: ... rmtree: _RmtreeType _CopyFn: TypeAlias = Callable[[str, str], object] | Callable[[StrPath, StrPath], object] # N.B. shutil.move appears to take bytes arguments, however, # this does not work when dst is (or is within) an existing directory. # (#6832) def move(src: StrPath, dst: _StrPathT, copy_function: _CopyFn = ...) -> _StrPathT | str | MaybeNone: ... class _ntuple_diskusage(NamedTuple): total: int used: int free: int def disk_usage(path: FileDescriptorOrPath) -> _ntuple_diskusage: ... # While chown can be imported on Windows, it doesn't actually work; # see https://bugs.python.org/issue33140. We keep it here because it's # in __all__. if sys.version_info >= (3, 13): @overload def chown( path: FileDescriptorOrPath, user: str | int, group: None = None, *, dir_fd: int | None = None, follow_symlinks: bool = True, ) -> None: ... @overload def chown( path: FileDescriptorOrPath, user: None = None, *, group: str | int, dir_fd: int | None = None, follow_symlinks: bool = True, ) -> None: ... @overload def chown( path: FileDescriptorOrPath, user: None, group: str | int, *, dir_fd: int | None = None, follow_symlinks: bool = True ) -> None: ... @overload def chown( path: FileDescriptorOrPath, user: str | int, group: str | int, *, dir_fd: int | None = None, follow_symlinks: bool = True ) -> None: ... else: @overload def chown(path: FileDescriptorOrPath, user: str | int, group: None = None) -> None: ... @overload def chown(path: FileDescriptorOrPath, user: None = None, *, group: str | int) -> None: ... @overload def chown(path: FileDescriptorOrPath, user: None, group: str | int) -> None: ... @overload def chown(path: FileDescriptorOrPath, user: str | int, group: str | int) -> None: ... if sys.platform == "win32" and sys.version_info < (3, 12): @overload @deprecated("On Windows before Python 3.12, using a PathLike as `cmd` would always fail or return `None`.") def which(cmd: os.PathLike[str], mode: int = 1, path: StrPath | None = None) -> NoReturn: ... @overload def which(cmd: StrPath, mode: int = 1, path: StrPath | None = None) -> str | None: ... @overload def which(cmd: bytes, mode: int = 1, path: StrPath | None = None) -> bytes | None: ... def make_archive( base_name: str, format: str, root_dir: StrPath | None = None, base_dir: StrPath | None = None, verbose: bool = ..., dry_run: bool = ..., owner: str | None = None, group: str | None = None, logger: Any | None = None, ) -> str: ... def get_archive_formats() -> list[tuple[str, str]]: ... @overload def register_archive_format( name: str, function: Callable[..., object], extra_args: Sequence[tuple[str, Any] | list[Any]], description: str = "" ) -> None: ... @overload def register_archive_format( name: str, function: Callable[[str, str], object], extra_args: None = None, description: str = "" ) -> None: ... def unregister_archive_format(name: str) -> None: ... def unpack_archive( filename: StrPath, extract_dir: StrPath | None = None, format: str | None = None, *, filter: _TarfileFilter | None = None ) -> None: ... @overload def register_unpack_format( name: str, extensions: list[str], function: Callable[..., object], extra_args: Sequence[tuple[str, Any]], description: str = "", ) -> None: ... @overload def register_unpack_format( name: str, extensions: list[str], function: Callable[[str, str], object], extra_args: None = None, description: str = "" ) -> None: ... def unregister_unpack_format(name: str) -> None: ... def get_unpack_formats() -> list[tuple[str, list[str], str]]: ... def get_terminal_size(fallback: tuple[int, int] = (80, 24)) -> os.terminal_size: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/signal.pyi0000644000175100017510000001371615112307767020373 0ustar00runnerrunnerimport sys from _typeshed import structseq from collections.abc import Callable, Iterable from enum import IntEnum from types import FrameType from typing import Any, Final, final from typing_extensions import Never, TypeAlias NSIG: int class Signals(IntEnum): SIGABRT = 6 SIGFPE = 8 SIGILL = 4 SIGINT = 2 SIGSEGV = 11 SIGTERM = 15 if sys.platform == "win32": SIGBREAK = 21 CTRL_C_EVENT = 0 CTRL_BREAK_EVENT = 1 else: SIGALRM = 14 SIGBUS = 7 SIGCHLD = 17 SIGCONT = 18 SIGHUP = 1 SIGIO = 29 SIGIOT = 6 SIGKILL = 9 SIGPIPE = 13 SIGPROF = 27 SIGQUIT = 3 SIGSTOP = 19 SIGSYS = 31 SIGTRAP = 5 SIGTSTP = 20 SIGTTIN = 21 SIGTTOU = 22 SIGURG = 23 SIGUSR1 = 10 SIGUSR2 = 12 SIGVTALRM = 26 SIGWINCH = 28 SIGXCPU = 24 SIGXFSZ = 25 if sys.platform != "linux": SIGEMT = 7 SIGINFO = 29 if sys.platform != "darwin": SIGCLD = 17 SIGPOLL = 29 SIGPWR = 30 SIGRTMAX = 64 SIGRTMIN = 34 if sys.version_info >= (3, 11): SIGSTKFLT = 16 class Handlers(IntEnum): SIG_DFL = 0 SIG_IGN = 1 SIG_DFL: Final = Handlers.SIG_DFL SIG_IGN: Final = Handlers.SIG_IGN _SIGNUM: TypeAlias = int | Signals _HANDLER: TypeAlias = Callable[[int, FrameType | None], Any] | int | Handlers | None def default_int_handler(signalnum: int, frame: FrameType | None, /) -> Never: ... if sys.version_info >= (3, 10): # arguments changed in 3.10.2 def getsignal(signalnum: _SIGNUM) -> _HANDLER: ... def signal(signalnum: _SIGNUM, handler: _HANDLER) -> _HANDLER: ... else: def getsignal(signalnum: _SIGNUM, /) -> _HANDLER: ... def signal(signalnum: _SIGNUM, handler: _HANDLER, /) -> _HANDLER: ... SIGABRT: Final = Signals.SIGABRT SIGFPE: Final = Signals.SIGFPE SIGILL: Final = Signals.SIGILL SIGINT: Final = Signals.SIGINT SIGSEGV: Final = Signals.SIGSEGV SIGTERM: Final = Signals.SIGTERM if sys.platform == "win32": SIGBREAK: Final = Signals.SIGBREAK CTRL_C_EVENT: Final = Signals.CTRL_C_EVENT CTRL_BREAK_EVENT: Final = Signals.CTRL_BREAK_EVENT else: if sys.platform != "linux": SIGINFO: Final = Signals.SIGINFO SIGEMT: Final = Signals.SIGEMT SIGALRM: Final = Signals.SIGALRM SIGBUS: Final = Signals.SIGBUS SIGCHLD: Final = Signals.SIGCHLD SIGCONT: Final = Signals.SIGCONT SIGHUP: Final = Signals.SIGHUP SIGIO: Final = Signals.SIGIO SIGIOT: Final = Signals.SIGABRT # alias SIGKILL: Final = Signals.SIGKILL SIGPIPE: Final = Signals.SIGPIPE SIGPROF: Final = Signals.SIGPROF SIGQUIT: Final = Signals.SIGQUIT SIGSTOP: Final = Signals.SIGSTOP SIGSYS: Final = Signals.SIGSYS SIGTRAP: Final = Signals.SIGTRAP SIGTSTP: Final = Signals.SIGTSTP SIGTTIN: Final = Signals.SIGTTIN SIGTTOU: Final = Signals.SIGTTOU SIGURG: Final = Signals.SIGURG SIGUSR1: Final = Signals.SIGUSR1 SIGUSR2: Final = Signals.SIGUSR2 SIGVTALRM: Final = Signals.SIGVTALRM SIGWINCH: Final = Signals.SIGWINCH SIGXCPU: Final = Signals.SIGXCPU SIGXFSZ: Final = Signals.SIGXFSZ class ItimerError(OSError): ... ITIMER_PROF: int ITIMER_REAL: int ITIMER_VIRTUAL: int class Sigmasks(IntEnum): SIG_BLOCK = 0 SIG_UNBLOCK = 1 SIG_SETMASK = 2 SIG_BLOCK: Final = Sigmasks.SIG_BLOCK SIG_UNBLOCK: Final = Sigmasks.SIG_UNBLOCK SIG_SETMASK: Final = Sigmasks.SIG_SETMASK def alarm(seconds: int, /) -> int: ... def getitimer(which: int, /) -> tuple[float, float]: ... def pause() -> None: ... def pthread_kill(thread_id: int, signalnum: int, /) -> None: ... if sys.version_info >= (3, 10): # arguments changed in 3.10.2 def pthread_sigmask(how: int, mask: Iterable[int]) -> set[_SIGNUM]: ... else: def pthread_sigmask(how: int, mask: Iterable[int], /) -> set[_SIGNUM]: ... def setitimer(which: int, seconds: float, interval: float = 0.0, /) -> tuple[float, float]: ... def siginterrupt(signalnum: int, flag: bool, /) -> None: ... def sigpending() -> Any: ... if sys.version_info >= (3, 10): # argument changed in 3.10.2 def sigwait(sigset: Iterable[int]) -> _SIGNUM: ... else: def sigwait(sigset: Iterable[int], /) -> _SIGNUM: ... if sys.platform != "darwin": SIGCLD: Final = Signals.SIGCHLD # alias SIGPOLL: Final = Signals.SIGIO # alias SIGPWR: Final = Signals.SIGPWR SIGRTMAX: Final = Signals.SIGRTMAX SIGRTMIN: Final = Signals.SIGRTMIN if sys.version_info >= (3, 11): SIGSTKFLT: Final = Signals.SIGSTKFLT @final class struct_siginfo(structseq[int], tuple[int, int, int, int, int, int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ("si_signo", "si_code", "si_errno", "si_pid", "si_uid", "si_status", "si_band") @property def si_signo(self) -> int: ... @property def si_code(self) -> int: ... @property def si_errno(self) -> int: ... @property def si_pid(self) -> int: ... @property def si_uid(self) -> int: ... @property def si_status(self) -> int: ... @property def si_band(self) -> int: ... def sigtimedwait(sigset: Iterable[int], timeout: float, /) -> struct_siginfo | None: ... def sigwaitinfo(sigset: Iterable[int], /) -> struct_siginfo: ... def strsignal(signalnum: _SIGNUM, /) -> str | None: ... def valid_signals() -> set[Signals]: ... def raise_signal(signalnum: _SIGNUM, /) -> None: ... def set_wakeup_fd(fd: int, /, *, warn_on_full_buffer: bool = True) -> int: ... if sys.platform == "linux": def pidfd_send_signal(pidfd: int, sig: int, siginfo: None = None, flags: int = 0, /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/site.pyi0000644000175100017510000000301315112307767020047 0ustar00runnerrunnerimport sys from _typeshed import StrPath from collections.abc import Iterable PREFIXES: list[str] ENABLE_USER_SITE: bool | None USER_SITE: str | None USER_BASE: str | None def main() -> None: ... def abs_paths() -> None: ... # undocumented def addpackage(sitedir: StrPath, name: StrPath, known_paths: set[str] | None) -> set[str] | None: ... # undocumented def addsitedir(sitedir: str, known_paths: set[str] | None = None) -> None: ... def addsitepackages(known_paths: set[str] | None, prefixes: Iterable[str] | None = None) -> set[str] | None: ... # undocumented def addusersitepackages(known_paths: set[str] | None) -> set[str] | None: ... # undocumented def check_enableusersite() -> bool | None: ... # undocumented if sys.version_info >= (3, 13): def gethistoryfile() -> str: ... # undocumented def enablerlcompleter() -> None: ... # undocumented if sys.version_info >= (3, 13): def register_readline() -> None: ... # undocumented def execsitecustomize() -> None: ... # undocumented def execusercustomize() -> None: ... # undocumented def getsitepackages(prefixes: Iterable[str] | None = None) -> list[str]: ... def getuserbase() -> str: ... def getusersitepackages() -> str: ... def makepath(*paths: StrPath) -> tuple[str, str]: ... # undocumented def removeduppaths() -> set[str]: ... # undocumented def setcopyright() -> None: ... # undocumented def sethelper() -> None: ... # undocumented def setquit() -> None: ... # undocumented def venv(known_paths: set[str] | None) -> set[str] | None: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/smtpd.pyi0000644000175100017510000000601215112307767020234 0ustar00runnerrunnerimport asynchat import asyncore import socket import sys from collections import defaultdict from typing import Any from typing_extensions import TypeAlias, deprecated if sys.version_info >= (3, 11): __all__ = ["SMTPChannel", "SMTPServer", "DebuggingServer", "PureProxy"] else: __all__ = ["SMTPChannel", "SMTPServer", "DebuggingServer", "PureProxy", "MailmanProxy"] _Address: TypeAlias = tuple[str, int] # (host, port) class SMTPChannel(asynchat.async_chat): COMMAND: int DATA: int command_size_limits: defaultdict[str, int] smtp_server: SMTPServer conn: socket.socket addr: Any received_lines: list[str] smtp_state: int seen_greeting: str mailfrom: str rcpttos: list[str] received_data: str fqdn: str peer: str command_size_limit: int data_size_limit: int enable_SMTPUTF8: bool @property def max_command_size_limit(self) -> int: ... def __init__( self, server: SMTPServer, conn: socket.socket, addr: Any, data_size_limit: int = 33554432, map: asyncore._MapType | None = None, enable_SMTPUTF8: bool = False, decode_data: bool = False, ) -> None: ... # base asynchat.async_chat.push() accepts bytes def push(self, msg: str) -> None: ... # type: ignore[override] def collect_incoming_data(self, data: bytes) -> None: ... def found_terminator(self) -> None: ... def smtp_HELO(self, arg: str) -> None: ... def smtp_NOOP(self, arg: str) -> None: ... def smtp_QUIT(self, arg: str) -> None: ... def smtp_MAIL(self, arg: str) -> None: ... def smtp_RCPT(self, arg: str) -> None: ... def smtp_RSET(self, arg: str) -> None: ... def smtp_DATA(self, arg: str) -> None: ... def smtp_EHLO(self, arg: str) -> None: ... def smtp_HELP(self, arg: str) -> None: ... def smtp_VRFY(self, arg: str) -> None: ... def smtp_EXPN(self, arg: str) -> None: ... class SMTPServer(asyncore.dispatcher): channel_class: type[SMTPChannel] data_size_limit: int enable_SMTPUTF8: bool def __init__( self, localaddr: _Address, remoteaddr: _Address, data_size_limit: int = 33554432, map: asyncore._MapType | None = None, enable_SMTPUTF8: bool = False, decode_data: bool = False, ) -> None: ... def handle_accepted(self, conn: socket.socket, addr: Any) -> None: ... def process_message( self, peer: _Address, mailfrom: str, rcpttos: list[str], data: bytes | str, **kwargs: Any ) -> str | None: ... class DebuggingServer(SMTPServer): ... class PureProxy(SMTPServer): def process_message(self, peer: _Address, mailfrom: str, rcpttos: list[str], data: bytes | str) -> str | None: ... # type: ignore[override] if sys.version_info < (3, 11): @deprecated("Deprecated since Python 3.9; removed in Python 3.11.") class MailmanProxy(PureProxy): def process_message(self, peer: _Address, mailfrom: str, rcpttos: list[str], data: bytes | str) -> str | None: ... # type: ignore[override] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/smtplib.pyi0000644000175100017510000001455215112307767020567 0ustar00runnerrunnerimport sys from _socket import _Address as _SourceAddress from _typeshed import ReadableBuffer, SizedBuffer from collections.abc import Sequence from email.message import Message as _Message from re import Pattern from socket import socket from ssl import SSLContext from types import TracebackType from typing import Any, Final, Protocol, overload, type_check_only from typing_extensions import Self, TypeAlias __all__ = [ "SMTPException", "SMTPServerDisconnected", "SMTPResponseException", "SMTPSenderRefused", "SMTPRecipientsRefused", "SMTPDataError", "SMTPConnectError", "SMTPHeloError", "SMTPAuthenticationError", "quoteaddr", "quotedata", "SMTP", "SMTP_SSL", "SMTPNotSupportedError", ] _Reply: TypeAlias = tuple[int, bytes] _SendErrs: TypeAlias = dict[str, _Reply] SMTP_PORT: Final = 25 SMTP_SSL_PORT: Final = 465 CRLF: Final[str] bCRLF: Final[bytes] OLDSTYLE_AUTH: Final[Pattern[str]] class SMTPException(OSError): ... class SMTPNotSupportedError(SMTPException): ... class SMTPServerDisconnected(SMTPException): ... class SMTPResponseException(SMTPException): smtp_code: int smtp_error: bytes | str args: tuple[int, bytes | str] | tuple[int, bytes, str] def __init__(self, code: int, msg: bytes | str) -> None: ... class SMTPSenderRefused(SMTPResponseException): smtp_error: bytes sender: str args: tuple[int, bytes, str] def __init__(self, code: int, msg: bytes, sender: str) -> None: ... class SMTPRecipientsRefused(SMTPException): recipients: _SendErrs args: tuple[_SendErrs] def __init__(self, recipients: _SendErrs) -> None: ... class SMTPDataError(SMTPResponseException): ... class SMTPConnectError(SMTPResponseException): ... class SMTPHeloError(SMTPResponseException): ... class SMTPAuthenticationError(SMTPResponseException): ... def quoteaddr(addrstring: str) -> str: ... def quotedata(data: str) -> str: ... @type_check_only class _AuthObject(Protocol): @overload def __call__(self, challenge: None = None, /) -> str | None: ... @overload def __call__(self, challenge: bytes, /) -> str: ... class SMTP: debuglevel: int sock: socket | None # Type of file should match what socket.makefile() returns file: Any | None helo_resp: bytes | None ehlo_msg: str ehlo_resp: bytes | None does_esmtp: bool default_port: int timeout: float esmtp_features: dict[str, str] command_encoding: str source_address: _SourceAddress | None local_hostname: str def __init__( self, host: str = "", port: int = 0, local_hostname: str | None = None, timeout: float = ..., source_address: _SourceAddress | None = None, ) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, tb: TracebackType | None ) -> None: ... def set_debuglevel(self, debuglevel: int) -> None: ... def connect(self, host: str = "localhost", port: int = 0, source_address: _SourceAddress | None = None) -> _Reply: ... def send(self, s: ReadableBuffer | str) -> None: ... def putcmd(self, cmd: str, args: str = "") -> None: ... def getreply(self) -> _Reply: ... def docmd(self, cmd: str, args: str = "") -> _Reply: ... def helo(self, name: str = "") -> _Reply: ... def ehlo(self, name: str = "") -> _Reply: ... def has_extn(self, opt: str) -> bool: ... def help(self, args: str = "") -> bytes: ... def rset(self) -> _Reply: ... def noop(self) -> _Reply: ... def mail(self, sender: str, options: Sequence[str] = ()) -> _Reply: ... def rcpt(self, recip: str, options: Sequence[str] = ()) -> _Reply: ... def data(self, msg: ReadableBuffer | str) -> _Reply: ... def verify(self, address: str) -> _Reply: ... vrfy = verify def expn(self, address: str) -> _Reply: ... def ehlo_or_helo_if_needed(self) -> None: ... user: str password: str def auth(self, mechanism: str, authobject: _AuthObject, *, initial_response_ok: bool = True) -> _Reply: ... @overload def auth_cram_md5(self, challenge: None = None) -> None: ... @overload def auth_cram_md5(self, challenge: ReadableBuffer) -> str: ... def auth_plain(self, challenge: ReadableBuffer | None = None) -> str: ... def auth_login(self, challenge: ReadableBuffer | None = None) -> str: ... def login(self, user: str, password: str, *, initial_response_ok: bool = True) -> _Reply: ... if sys.version_info >= (3, 12): def starttls(self, *, context: SSLContext | None = None) -> _Reply: ... else: def starttls( self, keyfile: str | None = None, certfile: str | None = None, context: SSLContext | None = None ) -> _Reply: ... def sendmail( self, from_addr: str, to_addrs: str | Sequence[str], msg: SizedBuffer | str, mail_options: Sequence[str] = (), rcpt_options: Sequence[str] = (), ) -> _SendErrs: ... def send_message( self, msg: _Message, from_addr: str | None = None, to_addrs: str | Sequence[str] | None = None, mail_options: Sequence[str] = (), rcpt_options: Sequence[str] = (), ) -> _SendErrs: ... def close(self) -> None: ... def quit(self) -> _Reply: ... class SMTP_SSL(SMTP): keyfile: str | None certfile: str | None context: SSLContext if sys.version_info >= (3, 12): def __init__( self, host: str = "", port: int = 0, local_hostname: str | None = None, *, timeout: float = ..., source_address: _SourceAddress | None = None, context: SSLContext | None = None, ) -> None: ... else: def __init__( self, host: str = "", port: int = 0, local_hostname: str | None = None, keyfile: str | None = None, certfile: str | None = None, timeout: float = ..., source_address: _SourceAddress | None = None, context: SSLContext | None = None, ) -> None: ... LMTP_PORT: Final = 2003 class LMTP(SMTP): def __init__( self, host: str = "", port: int = 2003, local_hostname: str | None = None, source_address: _SourceAddress | None = None, timeout: float = ..., ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sndhdr.pyi0000644000175100017510000000054115112307767020370 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath from typing import NamedTuple __all__ = ["what", "whathdr"] class SndHeaders(NamedTuple): filetype: str framerate: int nchannels: int nframes: int sampwidth: int | str def what(filename: StrOrBytesPath) -> SndHeaders | None: ... def whathdr(filename: StrOrBytesPath) -> SndHeaders | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/socket.pyi0000644000175100017510000013035115112307767020401 0ustar00runnerrunner# Ideally, we'd just do "from _socket import *". Unfortunately, socket # overrides some definitions from _socket incompatibly. mypy incorrectly # prefers the definitions from _socket over those defined here. import _socket import sys from _socket import ( CAPI as CAPI, EAI_AGAIN as EAI_AGAIN, EAI_BADFLAGS as EAI_BADFLAGS, EAI_FAIL as EAI_FAIL, EAI_FAMILY as EAI_FAMILY, EAI_MEMORY as EAI_MEMORY, EAI_NODATA as EAI_NODATA, EAI_NONAME as EAI_NONAME, EAI_SERVICE as EAI_SERVICE, EAI_SOCKTYPE as EAI_SOCKTYPE, INADDR_ALLHOSTS_GROUP as INADDR_ALLHOSTS_GROUP, INADDR_ANY as INADDR_ANY, INADDR_BROADCAST as INADDR_BROADCAST, INADDR_LOOPBACK as INADDR_LOOPBACK, INADDR_MAX_LOCAL_GROUP as INADDR_MAX_LOCAL_GROUP, INADDR_NONE as INADDR_NONE, INADDR_UNSPEC_GROUP as INADDR_UNSPEC_GROUP, IP_ADD_MEMBERSHIP as IP_ADD_MEMBERSHIP, IP_DROP_MEMBERSHIP as IP_DROP_MEMBERSHIP, IP_HDRINCL as IP_HDRINCL, IP_MULTICAST_IF as IP_MULTICAST_IF, IP_MULTICAST_LOOP as IP_MULTICAST_LOOP, IP_MULTICAST_TTL as IP_MULTICAST_TTL, IP_OPTIONS as IP_OPTIONS, IP_TOS as IP_TOS, IP_TTL as IP_TTL, IPPORT_RESERVED as IPPORT_RESERVED, IPPORT_USERRESERVED as IPPORT_USERRESERVED, IPPROTO_AH as IPPROTO_AH, IPPROTO_DSTOPTS as IPPROTO_DSTOPTS, IPPROTO_EGP as IPPROTO_EGP, IPPROTO_ESP as IPPROTO_ESP, IPPROTO_FRAGMENT as IPPROTO_FRAGMENT, IPPROTO_HOPOPTS as IPPROTO_HOPOPTS, IPPROTO_ICMP as IPPROTO_ICMP, IPPROTO_ICMPV6 as IPPROTO_ICMPV6, IPPROTO_IDP as IPPROTO_IDP, IPPROTO_IGMP as IPPROTO_IGMP, IPPROTO_IP as IPPROTO_IP, IPPROTO_IPV6 as IPPROTO_IPV6, IPPROTO_NONE as IPPROTO_NONE, IPPROTO_PIM as IPPROTO_PIM, IPPROTO_PUP as IPPROTO_PUP, IPPROTO_RAW as IPPROTO_RAW, IPPROTO_ROUTING as IPPROTO_ROUTING, IPPROTO_SCTP as IPPROTO_SCTP, IPPROTO_TCP as IPPROTO_TCP, IPPROTO_UDP as IPPROTO_UDP, IPV6_CHECKSUM as IPV6_CHECKSUM, IPV6_DONTFRAG as IPV6_DONTFRAG, IPV6_HOPLIMIT as IPV6_HOPLIMIT, IPV6_HOPOPTS as IPV6_HOPOPTS, IPV6_JOIN_GROUP as IPV6_JOIN_GROUP, IPV6_LEAVE_GROUP as IPV6_LEAVE_GROUP, IPV6_MULTICAST_HOPS as IPV6_MULTICAST_HOPS, IPV6_MULTICAST_IF as IPV6_MULTICAST_IF, IPV6_MULTICAST_LOOP as IPV6_MULTICAST_LOOP, IPV6_PKTINFO as IPV6_PKTINFO, IPV6_RECVRTHDR as IPV6_RECVRTHDR, IPV6_RECVTCLASS as IPV6_RECVTCLASS, IPV6_RTHDR as IPV6_RTHDR, IPV6_TCLASS as IPV6_TCLASS, IPV6_UNICAST_HOPS as IPV6_UNICAST_HOPS, IPV6_V6ONLY as IPV6_V6ONLY, NI_DGRAM as NI_DGRAM, NI_MAXHOST as NI_MAXHOST, NI_MAXSERV as NI_MAXSERV, NI_NAMEREQD as NI_NAMEREQD, NI_NOFQDN as NI_NOFQDN, NI_NUMERICHOST as NI_NUMERICHOST, NI_NUMERICSERV as NI_NUMERICSERV, SHUT_RD as SHUT_RD, SHUT_RDWR as SHUT_RDWR, SHUT_WR as SHUT_WR, SO_ACCEPTCONN as SO_ACCEPTCONN, SO_BROADCAST as SO_BROADCAST, SO_DEBUG as SO_DEBUG, SO_DONTROUTE as SO_DONTROUTE, SO_ERROR as SO_ERROR, SO_KEEPALIVE as SO_KEEPALIVE, SO_LINGER as SO_LINGER, SO_OOBINLINE as SO_OOBINLINE, SO_RCVBUF as SO_RCVBUF, SO_RCVLOWAT as SO_RCVLOWAT, SO_RCVTIMEO as SO_RCVTIMEO, SO_REUSEADDR as SO_REUSEADDR, SO_SNDBUF as SO_SNDBUF, SO_SNDLOWAT as SO_SNDLOWAT, SO_SNDTIMEO as SO_SNDTIMEO, SO_TYPE as SO_TYPE, SOL_IP as SOL_IP, SOL_SOCKET as SOL_SOCKET, SOL_TCP as SOL_TCP, SOL_UDP as SOL_UDP, SOMAXCONN as SOMAXCONN, TCP_FASTOPEN as TCP_FASTOPEN, TCP_KEEPCNT as TCP_KEEPCNT, TCP_KEEPINTVL as TCP_KEEPINTVL, TCP_MAXSEG as TCP_MAXSEG, TCP_NODELAY as TCP_NODELAY, SocketType as SocketType, _Address as _Address, _RetAddress as _RetAddress, close as close, dup as dup, getdefaulttimeout as getdefaulttimeout, gethostbyaddr as gethostbyaddr, gethostbyname as gethostbyname, gethostbyname_ex as gethostbyname_ex, gethostname as gethostname, getnameinfo as getnameinfo, getprotobyname as getprotobyname, getservbyname as getservbyname, getservbyport as getservbyport, has_ipv6 as has_ipv6, htonl as htonl, htons as htons, if_indextoname as if_indextoname, if_nameindex as if_nameindex, if_nametoindex as if_nametoindex, inet_aton as inet_aton, inet_ntoa as inet_ntoa, inet_ntop as inet_ntop, inet_pton as inet_pton, ntohl as ntohl, ntohs as ntohs, setdefaulttimeout as setdefaulttimeout, ) from _typeshed import ReadableBuffer, Unused, WriteableBuffer from collections.abc import Iterable from enum import IntEnum, IntFlag from io import BufferedReader, BufferedRWPair, BufferedWriter, IOBase, RawIOBase, TextIOWrapper from typing import Any, Final, Literal, Protocol, SupportsIndex, overload, type_check_only from typing_extensions import Self __all__ = [ "fromfd", "getfqdn", "create_connection", "create_server", "has_dualstack_ipv6", "AddressFamily", "SocketKind", "AF_APPLETALK", "AF_DECnet", "AF_INET", "AF_INET6", "AF_IPX", "AF_SNA", "AF_UNSPEC", "AI_ADDRCONFIG", "AI_ALL", "AI_CANONNAME", "AI_NUMERICHOST", "AI_NUMERICSERV", "AI_PASSIVE", "AI_V4MAPPED", "CAPI", "EAI_AGAIN", "EAI_BADFLAGS", "EAI_FAIL", "EAI_FAMILY", "EAI_MEMORY", "EAI_NODATA", "EAI_NONAME", "EAI_SERVICE", "EAI_SOCKTYPE", "INADDR_ALLHOSTS_GROUP", "INADDR_ANY", "INADDR_BROADCAST", "INADDR_LOOPBACK", "INADDR_MAX_LOCAL_GROUP", "INADDR_NONE", "INADDR_UNSPEC_GROUP", "IPPORT_RESERVED", "IPPORT_USERRESERVED", "IPPROTO_AH", "IPPROTO_DSTOPTS", "IPPROTO_EGP", "IPPROTO_ESP", "IPPROTO_FRAGMENT", "IPPROTO_HOPOPTS", "IPPROTO_ICMP", "IPPROTO_ICMPV6", "IPPROTO_IDP", "IPPROTO_IGMP", "IPPROTO_IP", "IPPROTO_IPV6", "IPPROTO_NONE", "IPPROTO_PIM", "IPPROTO_PUP", "IPPROTO_RAW", "IPPROTO_ROUTING", "IPPROTO_SCTP", "IPPROTO_TCP", "IPPROTO_UDP", "IPV6_CHECKSUM", "IPV6_DONTFRAG", "IPV6_HOPLIMIT", "IPV6_HOPOPTS", "IPV6_JOIN_GROUP", "IPV6_LEAVE_GROUP", "IPV6_MULTICAST_HOPS", "IPV6_MULTICAST_IF", "IPV6_MULTICAST_LOOP", "IPV6_PKTINFO", "IPV6_RECVRTHDR", "IPV6_RECVTCLASS", "IPV6_RTHDR", "IPV6_TCLASS", "IPV6_UNICAST_HOPS", "IPV6_V6ONLY", "IP_ADD_MEMBERSHIP", "IP_DROP_MEMBERSHIP", "IP_HDRINCL", "IP_MULTICAST_IF", "IP_MULTICAST_LOOP", "IP_MULTICAST_TTL", "IP_OPTIONS", "IP_TOS", "IP_TTL", "MSG_CTRUNC", "MSG_DONTROUTE", "MSG_OOB", "MSG_PEEK", "MSG_TRUNC", "MSG_WAITALL", "NI_DGRAM", "NI_MAXHOST", "NI_MAXSERV", "NI_NAMEREQD", "NI_NOFQDN", "NI_NUMERICHOST", "NI_NUMERICSERV", "SHUT_RD", "SHUT_RDWR", "SHUT_WR", "SOCK_DGRAM", "SOCK_RAW", "SOCK_RDM", "SOCK_SEQPACKET", "SOCK_STREAM", "SOL_IP", "SOL_SOCKET", "SOL_TCP", "SOL_UDP", "SOMAXCONN", "SO_ACCEPTCONN", "SO_BROADCAST", "SO_DEBUG", "SO_DONTROUTE", "SO_ERROR", "SO_KEEPALIVE", "SO_LINGER", "SO_OOBINLINE", "SO_RCVBUF", "SO_RCVLOWAT", "SO_RCVTIMEO", "SO_REUSEADDR", "SO_SNDBUF", "SO_SNDLOWAT", "SO_SNDTIMEO", "SO_TYPE", "SocketType", "TCP_FASTOPEN", "TCP_KEEPCNT", "TCP_KEEPINTVL", "TCP_MAXSEG", "TCP_NODELAY", "close", "dup", "error", "gaierror", "getaddrinfo", "getdefaulttimeout", "gethostbyaddr", "gethostbyname", "gethostbyname_ex", "gethostname", "getnameinfo", "getprotobyname", "getservbyname", "getservbyport", "has_ipv6", "herror", "htonl", "htons", "if_indextoname", "if_nameindex", "if_nametoindex", "inet_aton", "inet_ntoa", "inet_ntop", "inet_pton", "ntohl", "ntohs", "setdefaulttimeout", "socket", "socketpair", "timeout", ] if sys.platform == "win32": from _socket import ( IPPROTO_CBT as IPPROTO_CBT, IPPROTO_ICLFXBM as IPPROTO_ICLFXBM, IPPROTO_IGP as IPPROTO_IGP, IPPROTO_L2TP as IPPROTO_L2TP, IPPROTO_PGM as IPPROTO_PGM, IPPROTO_RDP as IPPROTO_RDP, IPPROTO_ST as IPPROTO_ST, RCVALL_MAX as RCVALL_MAX, RCVALL_OFF as RCVALL_OFF, RCVALL_ON as RCVALL_ON, RCVALL_SOCKETLEVELONLY as RCVALL_SOCKETLEVELONLY, SIO_KEEPALIVE_VALS as SIO_KEEPALIVE_VALS, SIO_LOOPBACK_FAST_PATH as SIO_LOOPBACK_FAST_PATH, SIO_RCVALL as SIO_RCVALL, SO_EXCLUSIVEADDRUSE as SO_EXCLUSIVEADDRUSE, ) __all__ += [ "IPPROTO_CBT", "IPPROTO_ICLFXBM", "IPPROTO_IGP", "IPPROTO_L2TP", "IPPROTO_PGM", "IPPROTO_RDP", "IPPROTO_ST", "RCVALL_MAX", "RCVALL_OFF", "RCVALL_ON", "RCVALL_SOCKETLEVELONLY", "SIO_KEEPALIVE_VALS", "SIO_LOOPBACK_FAST_PATH", "SIO_RCVALL", "SO_EXCLUSIVEADDRUSE", "fromshare", "errorTab", "MSG_BCAST", "MSG_MCAST", ] if sys.platform == "darwin": from _socket import PF_SYSTEM as PF_SYSTEM, SYSPROTO_CONTROL as SYSPROTO_CONTROL __all__ += ["PF_SYSTEM", "SYSPROTO_CONTROL", "AF_SYSTEM"] if sys.platform != "darwin": from _socket import TCP_KEEPIDLE as TCP_KEEPIDLE __all__ += ["TCP_KEEPIDLE", "AF_IRDA", "MSG_ERRQUEUE"] if sys.version_info >= (3, 10): from _socket import IP_RECVTOS as IP_RECVTOS __all__ += ["IP_RECVTOS"] if sys.platform != "win32" and sys.platform != "darwin": from _socket import ( IP_TRANSPARENT as IP_TRANSPARENT, IPX_TYPE as IPX_TYPE, SCM_CREDENTIALS as SCM_CREDENTIALS, SO_DOMAIN as SO_DOMAIN, SO_MARK as SO_MARK, SO_PASSCRED as SO_PASSCRED, SO_PASSSEC as SO_PASSSEC, SO_PEERCRED as SO_PEERCRED, SO_PEERSEC as SO_PEERSEC, SO_PRIORITY as SO_PRIORITY, SO_PROTOCOL as SO_PROTOCOL, SOL_ATALK as SOL_ATALK, SOL_AX25 as SOL_AX25, SOL_HCI as SOL_HCI, SOL_IPX as SOL_IPX, SOL_NETROM as SOL_NETROM, SOL_ROSE as SOL_ROSE, TCP_CONGESTION as TCP_CONGESTION, TCP_CORK as TCP_CORK, TCP_DEFER_ACCEPT as TCP_DEFER_ACCEPT, TCP_INFO as TCP_INFO, TCP_LINGER2 as TCP_LINGER2, TCP_QUICKACK as TCP_QUICKACK, TCP_SYNCNT as TCP_SYNCNT, TCP_USER_TIMEOUT as TCP_USER_TIMEOUT, TCP_WINDOW_CLAMP as TCP_WINDOW_CLAMP, ) __all__ += [ "IP_TRANSPARENT", "SCM_CREDENTIALS", "SO_DOMAIN", "SO_MARK", "SO_PASSCRED", "SO_PASSSEC", "SO_PEERCRED", "SO_PEERSEC", "SO_PRIORITY", "SO_PROTOCOL", "TCP_CONGESTION", "TCP_CORK", "TCP_DEFER_ACCEPT", "TCP_INFO", "TCP_LINGER2", "TCP_QUICKACK", "TCP_SYNCNT", "TCP_USER_TIMEOUT", "TCP_WINDOW_CLAMP", "AF_ASH", "AF_ATMPVC", "AF_ATMSVC", "AF_AX25", "AF_BRIDGE", "AF_ECONET", "AF_KEY", "AF_LLC", "AF_NETBEUI", "AF_NETROM", "AF_PPPOX", "AF_ROSE", "AF_SECURITY", "AF_WANPIPE", "AF_X25", "MSG_CMSG_CLOEXEC", "MSG_CONFIRM", "MSG_FASTOPEN", "MSG_MORE", ] if sys.platform != "win32" and sys.platform != "darwin" and sys.version_info >= (3, 11): from _socket import IP_BIND_ADDRESS_NO_PORT as IP_BIND_ADDRESS_NO_PORT __all__ += ["IP_BIND_ADDRESS_NO_PORT"] if sys.platform != "win32": from _socket import ( CMSG_LEN as CMSG_LEN, CMSG_SPACE as CMSG_SPACE, EAI_ADDRFAMILY as EAI_ADDRFAMILY, EAI_OVERFLOW as EAI_OVERFLOW, EAI_SYSTEM as EAI_SYSTEM, IP_DEFAULT_MULTICAST_LOOP as IP_DEFAULT_MULTICAST_LOOP, IP_DEFAULT_MULTICAST_TTL as IP_DEFAULT_MULTICAST_TTL, IP_MAX_MEMBERSHIPS as IP_MAX_MEMBERSHIPS, IP_RECVOPTS as IP_RECVOPTS, IP_RECVRETOPTS as IP_RECVRETOPTS, IP_RETOPTS as IP_RETOPTS, IPPROTO_GRE as IPPROTO_GRE, IPPROTO_IPIP as IPPROTO_IPIP, IPPROTO_RSVP as IPPROTO_RSVP, IPPROTO_TP as IPPROTO_TP, IPV6_RTHDR_TYPE_0 as IPV6_RTHDR_TYPE_0, SCM_RIGHTS as SCM_RIGHTS, SO_REUSEPORT as SO_REUSEPORT, TCP_NOTSENT_LOWAT as TCP_NOTSENT_LOWAT, sethostname as sethostname, ) __all__ += [ "CMSG_LEN", "CMSG_SPACE", "EAI_ADDRFAMILY", "EAI_OVERFLOW", "EAI_SYSTEM", "IP_DEFAULT_MULTICAST_LOOP", "IP_DEFAULT_MULTICAST_TTL", "IP_MAX_MEMBERSHIPS", "IP_RECVOPTS", "IP_RECVRETOPTS", "IP_RETOPTS", "IPPROTO_GRE", "IPPROTO_IPIP", "IPPROTO_RSVP", "IPPROTO_TP", "IPV6_RTHDR_TYPE_0", "SCM_RIGHTS", "SO_REUSEPORT", "TCP_NOTSENT_LOWAT", "sethostname", "AF_ROUTE", "AF_UNIX", "MSG_DONTWAIT", "MSG_EOR", "MSG_NOSIGNAL", ] from _socket import ( IPV6_DSTOPTS as IPV6_DSTOPTS, IPV6_NEXTHOP as IPV6_NEXTHOP, IPV6_PATHMTU as IPV6_PATHMTU, IPV6_RECVDSTOPTS as IPV6_RECVDSTOPTS, IPV6_RECVHOPLIMIT as IPV6_RECVHOPLIMIT, IPV6_RECVHOPOPTS as IPV6_RECVHOPOPTS, IPV6_RECVPATHMTU as IPV6_RECVPATHMTU, IPV6_RECVPKTINFO as IPV6_RECVPKTINFO, IPV6_RTHDRDSTOPTS as IPV6_RTHDRDSTOPTS, ) __all__ += [ "IPV6_DSTOPTS", "IPV6_NEXTHOP", "IPV6_PATHMTU", "IPV6_RECVDSTOPTS", "IPV6_RECVHOPLIMIT", "IPV6_RECVHOPOPTS", "IPV6_RECVPATHMTU", "IPV6_RECVPKTINFO", "IPV6_RTHDRDSTOPTS", ] if sys.platform != "darwin" or sys.version_info >= (3, 13): from _socket import SO_BINDTODEVICE as SO_BINDTODEVICE __all__ += ["SO_BINDTODEVICE"] if sys.platform != "darwin" and sys.platform != "linux": from _socket import BDADDR_ANY as BDADDR_ANY, BDADDR_LOCAL as BDADDR_LOCAL, BTPROTO_RFCOMM as BTPROTO_RFCOMM __all__ += ["BDADDR_ANY", "BDADDR_LOCAL", "BTPROTO_RFCOMM"] if sys.platform == "darwin" and sys.version_info >= (3, 10): from _socket import TCP_KEEPALIVE as TCP_KEEPALIVE __all__ += ["TCP_KEEPALIVE"] if sys.platform == "darwin" and sys.version_info >= (3, 11): from _socket import TCP_CONNECTION_INFO as TCP_CONNECTION_INFO __all__ += ["TCP_CONNECTION_INFO"] if sys.platform == "linux": from _socket import ( ALG_OP_DECRYPT as ALG_OP_DECRYPT, ALG_OP_ENCRYPT as ALG_OP_ENCRYPT, ALG_OP_SIGN as ALG_OP_SIGN, ALG_OP_VERIFY as ALG_OP_VERIFY, ALG_SET_AEAD_ASSOCLEN as ALG_SET_AEAD_ASSOCLEN, ALG_SET_AEAD_AUTHSIZE as ALG_SET_AEAD_AUTHSIZE, ALG_SET_IV as ALG_SET_IV, ALG_SET_KEY as ALG_SET_KEY, ALG_SET_OP as ALG_SET_OP, ALG_SET_PUBKEY as ALG_SET_PUBKEY, CAN_BCM as CAN_BCM, CAN_BCM_CAN_FD_FRAME as CAN_BCM_CAN_FD_FRAME, CAN_BCM_RX_ANNOUNCE_RESUME as CAN_BCM_RX_ANNOUNCE_RESUME, CAN_BCM_RX_CHANGED as CAN_BCM_RX_CHANGED, CAN_BCM_RX_CHECK_DLC as CAN_BCM_RX_CHECK_DLC, CAN_BCM_RX_DELETE as CAN_BCM_RX_DELETE, CAN_BCM_RX_FILTER_ID as CAN_BCM_RX_FILTER_ID, CAN_BCM_RX_NO_AUTOTIMER as CAN_BCM_RX_NO_AUTOTIMER, CAN_BCM_RX_READ as CAN_BCM_RX_READ, CAN_BCM_RX_RTR_FRAME as CAN_BCM_RX_RTR_FRAME, CAN_BCM_RX_SETUP as CAN_BCM_RX_SETUP, CAN_BCM_RX_STATUS as CAN_BCM_RX_STATUS, CAN_BCM_RX_TIMEOUT as CAN_BCM_RX_TIMEOUT, CAN_BCM_SETTIMER as CAN_BCM_SETTIMER, CAN_BCM_STARTTIMER as CAN_BCM_STARTTIMER, CAN_BCM_TX_ANNOUNCE as CAN_BCM_TX_ANNOUNCE, CAN_BCM_TX_COUNTEVT as CAN_BCM_TX_COUNTEVT, CAN_BCM_TX_CP_CAN_ID as CAN_BCM_TX_CP_CAN_ID, CAN_BCM_TX_DELETE as CAN_BCM_TX_DELETE, CAN_BCM_TX_EXPIRED as CAN_BCM_TX_EXPIRED, CAN_BCM_TX_READ as CAN_BCM_TX_READ, CAN_BCM_TX_RESET_MULTI_IDX as CAN_BCM_TX_RESET_MULTI_IDX, CAN_BCM_TX_SEND as CAN_BCM_TX_SEND, CAN_BCM_TX_SETUP as CAN_BCM_TX_SETUP, CAN_BCM_TX_STATUS as CAN_BCM_TX_STATUS, CAN_EFF_FLAG as CAN_EFF_FLAG, CAN_EFF_MASK as CAN_EFF_MASK, CAN_ERR_FLAG as CAN_ERR_FLAG, CAN_ERR_MASK as CAN_ERR_MASK, CAN_ISOTP as CAN_ISOTP, CAN_RAW as CAN_RAW, CAN_RAW_FD_FRAMES as CAN_RAW_FD_FRAMES, CAN_RAW_FILTER as CAN_RAW_FILTER, CAN_RAW_LOOPBACK as CAN_RAW_LOOPBACK, CAN_RAW_RECV_OWN_MSGS as CAN_RAW_RECV_OWN_MSGS, CAN_RTR_FLAG as CAN_RTR_FLAG, CAN_SFF_MASK as CAN_SFF_MASK, IOCTL_VM_SOCKETS_GET_LOCAL_CID as IOCTL_VM_SOCKETS_GET_LOCAL_CID, NETLINK_CRYPTO as NETLINK_CRYPTO, NETLINK_DNRTMSG as NETLINK_DNRTMSG, NETLINK_FIREWALL as NETLINK_FIREWALL, NETLINK_IP6_FW as NETLINK_IP6_FW, NETLINK_NFLOG as NETLINK_NFLOG, NETLINK_ROUTE as NETLINK_ROUTE, NETLINK_USERSOCK as NETLINK_USERSOCK, NETLINK_XFRM as NETLINK_XFRM, PACKET_BROADCAST as PACKET_BROADCAST, PACKET_FASTROUTE as PACKET_FASTROUTE, PACKET_HOST as PACKET_HOST, PACKET_LOOPBACK as PACKET_LOOPBACK, PACKET_MULTICAST as PACKET_MULTICAST, PACKET_OTHERHOST as PACKET_OTHERHOST, PACKET_OUTGOING as PACKET_OUTGOING, PF_CAN as PF_CAN, PF_PACKET as PF_PACKET, PF_RDS as PF_RDS, RDS_CANCEL_SENT_TO as RDS_CANCEL_SENT_TO, RDS_CMSG_RDMA_ARGS as RDS_CMSG_RDMA_ARGS, RDS_CMSG_RDMA_DEST as RDS_CMSG_RDMA_DEST, RDS_CMSG_RDMA_MAP as RDS_CMSG_RDMA_MAP, RDS_CMSG_RDMA_STATUS as RDS_CMSG_RDMA_STATUS, RDS_CONG_MONITOR as RDS_CONG_MONITOR, RDS_FREE_MR as RDS_FREE_MR, RDS_GET_MR as RDS_GET_MR, RDS_GET_MR_FOR_DEST as RDS_GET_MR_FOR_DEST, RDS_RDMA_DONTWAIT as RDS_RDMA_DONTWAIT, RDS_RDMA_FENCE as RDS_RDMA_FENCE, RDS_RDMA_INVALIDATE as RDS_RDMA_INVALIDATE, RDS_RDMA_NOTIFY_ME as RDS_RDMA_NOTIFY_ME, RDS_RDMA_READWRITE as RDS_RDMA_READWRITE, RDS_RDMA_SILENT as RDS_RDMA_SILENT, RDS_RDMA_USE_ONCE as RDS_RDMA_USE_ONCE, RDS_RECVERR as RDS_RECVERR, SO_VM_SOCKETS_BUFFER_MAX_SIZE as SO_VM_SOCKETS_BUFFER_MAX_SIZE, SO_VM_SOCKETS_BUFFER_MIN_SIZE as SO_VM_SOCKETS_BUFFER_MIN_SIZE, SO_VM_SOCKETS_BUFFER_SIZE as SO_VM_SOCKETS_BUFFER_SIZE, SOL_ALG as SOL_ALG, SOL_CAN_BASE as SOL_CAN_BASE, SOL_CAN_RAW as SOL_CAN_RAW, SOL_RDS as SOL_RDS, SOL_TIPC as SOL_TIPC, TIPC_ADDR_ID as TIPC_ADDR_ID, TIPC_ADDR_NAME as TIPC_ADDR_NAME, TIPC_ADDR_NAMESEQ as TIPC_ADDR_NAMESEQ, TIPC_CFG_SRV as TIPC_CFG_SRV, TIPC_CLUSTER_SCOPE as TIPC_CLUSTER_SCOPE, TIPC_CONN_TIMEOUT as TIPC_CONN_TIMEOUT, TIPC_CRITICAL_IMPORTANCE as TIPC_CRITICAL_IMPORTANCE, TIPC_DEST_DROPPABLE as TIPC_DEST_DROPPABLE, TIPC_HIGH_IMPORTANCE as TIPC_HIGH_IMPORTANCE, TIPC_IMPORTANCE as TIPC_IMPORTANCE, TIPC_LOW_IMPORTANCE as TIPC_LOW_IMPORTANCE, TIPC_MEDIUM_IMPORTANCE as TIPC_MEDIUM_IMPORTANCE, TIPC_NODE_SCOPE as TIPC_NODE_SCOPE, TIPC_PUBLISHED as TIPC_PUBLISHED, TIPC_SRC_DROPPABLE as TIPC_SRC_DROPPABLE, TIPC_SUB_CANCEL as TIPC_SUB_CANCEL, TIPC_SUB_PORTS as TIPC_SUB_PORTS, TIPC_SUB_SERVICE as TIPC_SUB_SERVICE, TIPC_SUBSCR_TIMEOUT as TIPC_SUBSCR_TIMEOUT, TIPC_TOP_SRV as TIPC_TOP_SRV, TIPC_WAIT_FOREVER as TIPC_WAIT_FOREVER, TIPC_WITHDRAWN as TIPC_WITHDRAWN, TIPC_ZONE_SCOPE as TIPC_ZONE_SCOPE, VM_SOCKETS_INVALID_VERSION as VM_SOCKETS_INVALID_VERSION, VMADDR_CID_ANY as VMADDR_CID_ANY, VMADDR_CID_HOST as VMADDR_CID_HOST, VMADDR_PORT_ANY as VMADDR_PORT_ANY, ) __all__ += [ "ALG_OP_DECRYPT", "ALG_OP_ENCRYPT", "ALG_OP_SIGN", "ALG_OP_VERIFY", "ALG_SET_AEAD_ASSOCLEN", "ALG_SET_AEAD_AUTHSIZE", "ALG_SET_IV", "ALG_SET_KEY", "ALG_SET_OP", "ALG_SET_PUBKEY", "CAN_BCM", "CAN_BCM_CAN_FD_FRAME", "CAN_BCM_RX_ANNOUNCE_RESUME", "CAN_BCM_RX_CHANGED", "CAN_BCM_RX_CHECK_DLC", "CAN_BCM_RX_DELETE", "CAN_BCM_RX_FILTER_ID", "CAN_BCM_RX_NO_AUTOTIMER", "CAN_BCM_RX_READ", "CAN_BCM_RX_RTR_FRAME", "CAN_BCM_RX_SETUP", "CAN_BCM_RX_STATUS", "CAN_BCM_RX_TIMEOUT", "CAN_BCM_SETTIMER", "CAN_BCM_STARTTIMER", "CAN_BCM_TX_ANNOUNCE", "CAN_BCM_TX_COUNTEVT", "CAN_BCM_TX_CP_CAN_ID", "CAN_BCM_TX_DELETE", "CAN_BCM_TX_EXPIRED", "CAN_BCM_TX_READ", "CAN_BCM_TX_RESET_MULTI_IDX", "CAN_BCM_TX_SEND", "CAN_BCM_TX_SETUP", "CAN_BCM_TX_STATUS", "CAN_EFF_FLAG", "CAN_EFF_MASK", "CAN_ERR_FLAG", "CAN_ERR_MASK", "CAN_ISOTP", "CAN_RAW", "CAN_RAW_FD_FRAMES", "CAN_RAW_FILTER", "CAN_RAW_LOOPBACK", "CAN_RAW_RECV_OWN_MSGS", "CAN_RTR_FLAG", "CAN_SFF_MASK", "IOCTL_VM_SOCKETS_GET_LOCAL_CID", "NETLINK_CRYPTO", "NETLINK_DNRTMSG", "NETLINK_FIREWALL", "NETLINK_IP6_FW", "NETLINK_NFLOG", "NETLINK_ROUTE", "NETLINK_USERSOCK", "NETLINK_XFRM", "PACKET_BROADCAST", "PACKET_FASTROUTE", "PACKET_HOST", "PACKET_LOOPBACK", "PACKET_MULTICAST", "PACKET_OTHERHOST", "PACKET_OUTGOING", "PF_CAN", "PF_PACKET", "PF_RDS", "SO_VM_SOCKETS_BUFFER_MAX_SIZE", "SO_VM_SOCKETS_BUFFER_MIN_SIZE", "SO_VM_SOCKETS_BUFFER_SIZE", "SOL_ALG", "SOL_CAN_BASE", "SOL_CAN_RAW", "SOL_RDS", "SOL_TIPC", "TIPC_ADDR_ID", "TIPC_ADDR_NAME", "TIPC_ADDR_NAMESEQ", "TIPC_CFG_SRV", "TIPC_CLUSTER_SCOPE", "TIPC_CONN_TIMEOUT", "TIPC_CRITICAL_IMPORTANCE", "TIPC_DEST_DROPPABLE", "TIPC_HIGH_IMPORTANCE", "TIPC_IMPORTANCE", "TIPC_LOW_IMPORTANCE", "TIPC_MEDIUM_IMPORTANCE", "TIPC_NODE_SCOPE", "TIPC_PUBLISHED", "TIPC_SRC_DROPPABLE", "TIPC_SUB_CANCEL", "TIPC_SUB_PORTS", "TIPC_SUB_SERVICE", "TIPC_SUBSCR_TIMEOUT", "TIPC_TOP_SRV", "TIPC_WAIT_FOREVER", "TIPC_WITHDRAWN", "TIPC_ZONE_SCOPE", "VM_SOCKETS_INVALID_VERSION", "VMADDR_CID_ANY", "VMADDR_CID_HOST", "VMADDR_PORT_ANY", "AF_CAN", "AF_PACKET", "AF_RDS", "AF_TIPC", "AF_ALG", "AF_NETLINK", "AF_VSOCK", "AF_QIPCRTR", "SOCK_CLOEXEC", "SOCK_NONBLOCK", ] if sys.version_info < (3, 11): from _socket import CAN_RAW_ERR_FILTER as CAN_RAW_ERR_FILTER __all__ += ["CAN_RAW_ERR_FILTER"] if sys.version_info >= (3, 13): from _socket import CAN_RAW_ERR_FILTER as CAN_RAW_ERR_FILTER __all__ += ["CAN_RAW_ERR_FILTER"] if sys.platform == "linux": from _socket import ( CAN_J1939 as CAN_J1939, CAN_RAW_JOIN_FILTERS as CAN_RAW_JOIN_FILTERS, IPPROTO_UDPLITE as IPPROTO_UDPLITE, J1939_EE_INFO_NONE as J1939_EE_INFO_NONE, J1939_EE_INFO_TX_ABORT as J1939_EE_INFO_TX_ABORT, J1939_FILTER_MAX as J1939_FILTER_MAX, J1939_IDLE_ADDR as J1939_IDLE_ADDR, J1939_MAX_UNICAST_ADDR as J1939_MAX_UNICAST_ADDR, J1939_NLA_BYTES_ACKED as J1939_NLA_BYTES_ACKED, J1939_NLA_PAD as J1939_NLA_PAD, J1939_NO_ADDR as J1939_NO_ADDR, J1939_NO_NAME as J1939_NO_NAME, J1939_NO_PGN as J1939_NO_PGN, J1939_PGN_ADDRESS_CLAIMED as J1939_PGN_ADDRESS_CLAIMED, J1939_PGN_ADDRESS_COMMANDED as J1939_PGN_ADDRESS_COMMANDED, J1939_PGN_MAX as J1939_PGN_MAX, J1939_PGN_PDU1_MAX as J1939_PGN_PDU1_MAX, J1939_PGN_REQUEST as J1939_PGN_REQUEST, SCM_J1939_DEST_ADDR as SCM_J1939_DEST_ADDR, SCM_J1939_DEST_NAME as SCM_J1939_DEST_NAME, SCM_J1939_ERRQUEUE as SCM_J1939_ERRQUEUE, SCM_J1939_PRIO as SCM_J1939_PRIO, SO_J1939_ERRQUEUE as SO_J1939_ERRQUEUE, SO_J1939_FILTER as SO_J1939_FILTER, SO_J1939_PROMISC as SO_J1939_PROMISC, SO_J1939_SEND_PRIO as SO_J1939_SEND_PRIO, UDPLITE_RECV_CSCOV as UDPLITE_RECV_CSCOV, UDPLITE_SEND_CSCOV as UDPLITE_SEND_CSCOV, ) __all__ += [ "CAN_J1939", "CAN_RAW_JOIN_FILTERS", "IPPROTO_UDPLITE", "J1939_EE_INFO_NONE", "J1939_EE_INFO_TX_ABORT", "J1939_FILTER_MAX", "J1939_IDLE_ADDR", "J1939_MAX_UNICAST_ADDR", "J1939_NLA_BYTES_ACKED", "J1939_NLA_PAD", "J1939_NO_ADDR", "J1939_NO_NAME", "J1939_NO_PGN", "J1939_PGN_ADDRESS_CLAIMED", "J1939_PGN_ADDRESS_COMMANDED", "J1939_PGN_MAX", "J1939_PGN_PDU1_MAX", "J1939_PGN_REQUEST", "SCM_J1939_DEST_ADDR", "SCM_J1939_DEST_NAME", "SCM_J1939_ERRQUEUE", "SCM_J1939_PRIO", "SO_J1939_ERRQUEUE", "SO_J1939_FILTER", "SO_J1939_PROMISC", "SO_J1939_SEND_PRIO", "UDPLITE_RECV_CSCOV", "UDPLITE_SEND_CSCOV", ] if sys.platform == "linux" and sys.version_info >= (3, 10): from _socket import IPPROTO_MPTCP as IPPROTO_MPTCP __all__ += ["IPPROTO_MPTCP"] if sys.platform == "linux" and sys.version_info >= (3, 11): from _socket import SO_INCOMING_CPU as SO_INCOMING_CPU __all__ += ["SO_INCOMING_CPU"] if sys.platform == "linux" and sys.version_info >= (3, 12): from _socket import ( TCP_CC_INFO as TCP_CC_INFO, TCP_FASTOPEN_CONNECT as TCP_FASTOPEN_CONNECT, TCP_FASTOPEN_KEY as TCP_FASTOPEN_KEY, TCP_FASTOPEN_NO_COOKIE as TCP_FASTOPEN_NO_COOKIE, TCP_INQ as TCP_INQ, TCP_MD5SIG as TCP_MD5SIG, TCP_MD5SIG_EXT as TCP_MD5SIG_EXT, TCP_QUEUE_SEQ as TCP_QUEUE_SEQ, TCP_REPAIR as TCP_REPAIR, TCP_REPAIR_OPTIONS as TCP_REPAIR_OPTIONS, TCP_REPAIR_QUEUE as TCP_REPAIR_QUEUE, TCP_REPAIR_WINDOW as TCP_REPAIR_WINDOW, TCP_SAVE_SYN as TCP_SAVE_SYN, TCP_SAVED_SYN as TCP_SAVED_SYN, TCP_THIN_DUPACK as TCP_THIN_DUPACK, TCP_THIN_LINEAR_TIMEOUTS as TCP_THIN_LINEAR_TIMEOUTS, TCP_TIMESTAMP as TCP_TIMESTAMP, TCP_TX_DELAY as TCP_TX_DELAY, TCP_ULP as TCP_ULP, TCP_ZEROCOPY_RECEIVE as TCP_ZEROCOPY_RECEIVE, ) __all__ += [ "TCP_CC_INFO", "TCP_FASTOPEN_CONNECT", "TCP_FASTOPEN_KEY", "TCP_FASTOPEN_NO_COOKIE", "TCP_INQ", "TCP_MD5SIG", "TCP_MD5SIG_EXT", "TCP_QUEUE_SEQ", "TCP_REPAIR", "TCP_REPAIR_OPTIONS", "TCP_REPAIR_QUEUE", "TCP_REPAIR_WINDOW", "TCP_SAVED_SYN", "TCP_SAVE_SYN", "TCP_THIN_DUPACK", "TCP_THIN_LINEAR_TIMEOUTS", "TCP_TIMESTAMP", "TCP_TX_DELAY", "TCP_ULP", "TCP_ZEROCOPY_RECEIVE", ] if sys.platform == "linux" and sys.version_info >= (3, 13): from _socket import NI_IDN as NI_IDN, SO_BINDTOIFINDEX as SO_BINDTOIFINDEX __all__ += ["NI_IDN", "SO_BINDTOIFINDEX"] if sys.version_info >= (3, 12): from _socket import ( IP_ADD_SOURCE_MEMBERSHIP as IP_ADD_SOURCE_MEMBERSHIP, IP_BLOCK_SOURCE as IP_BLOCK_SOURCE, IP_DROP_SOURCE_MEMBERSHIP as IP_DROP_SOURCE_MEMBERSHIP, IP_PKTINFO as IP_PKTINFO, IP_UNBLOCK_SOURCE as IP_UNBLOCK_SOURCE, ) __all__ += ["IP_ADD_SOURCE_MEMBERSHIP", "IP_BLOCK_SOURCE", "IP_DROP_SOURCE_MEMBERSHIP", "IP_PKTINFO", "IP_UNBLOCK_SOURCE"] if sys.platform == "win32": from _socket import ( HV_GUID_BROADCAST as HV_GUID_BROADCAST, HV_GUID_CHILDREN as HV_GUID_CHILDREN, HV_GUID_LOOPBACK as HV_GUID_LOOPBACK, HV_GUID_PARENT as HV_GUID_PARENT, HV_GUID_WILDCARD as HV_GUID_WILDCARD, HV_GUID_ZERO as HV_GUID_ZERO, HV_PROTOCOL_RAW as HV_PROTOCOL_RAW, HVSOCKET_ADDRESS_FLAG_PASSTHRU as HVSOCKET_ADDRESS_FLAG_PASSTHRU, HVSOCKET_CONNECT_TIMEOUT as HVSOCKET_CONNECT_TIMEOUT, HVSOCKET_CONNECT_TIMEOUT_MAX as HVSOCKET_CONNECT_TIMEOUT_MAX, HVSOCKET_CONNECTED_SUSPEND as HVSOCKET_CONNECTED_SUSPEND, ) __all__ += [ "HV_GUID_BROADCAST", "HV_GUID_CHILDREN", "HV_GUID_LOOPBACK", "HV_GUID_PARENT", "HV_GUID_WILDCARD", "HV_GUID_ZERO", "HV_PROTOCOL_RAW", "HVSOCKET_ADDRESS_FLAG_PASSTHRU", "HVSOCKET_CONNECT_TIMEOUT", "HVSOCKET_CONNECT_TIMEOUT_MAX", "HVSOCKET_CONNECTED_SUSPEND", ] else: from _socket import ( ETHERTYPE_ARP as ETHERTYPE_ARP, ETHERTYPE_IP as ETHERTYPE_IP, ETHERTYPE_IPV6 as ETHERTYPE_IPV6, ETHERTYPE_VLAN as ETHERTYPE_VLAN, ) __all__ += ["ETHERTYPE_ARP", "ETHERTYPE_IP", "ETHERTYPE_IPV6", "ETHERTYPE_VLAN"] if sys.platform == "linux": from _socket import ETH_P_ALL as ETH_P_ALL __all__ += ["ETH_P_ALL"] if sys.platform != "linux" and sys.platform != "win32" and sys.platform != "darwin": # FreeBSD >= 14.0 from _socket import PF_DIVERT as PF_DIVERT __all__ += ["PF_DIVERT", "AF_DIVERT"] if sys.platform != "win32": __all__ += ["send_fds", "recv_fds"] if sys.platform != "linux": __all__ += ["AF_LINK"] if sys.platform != "darwin" and sys.platform != "linux": __all__ += ["AF_BLUETOOTH"] if sys.platform == "win32" and sys.version_info >= (3, 12): __all__ += ["AF_HYPERV"] if sys.platform != "win32" and sys.platform != "linux": from _socket import ( EAI_BADHINTS as EAI_BADHINTS, EAI_MAX as EAI_MAX, EAI_PROTOCOL as EAI_PROTOCOL, IPPROTO_EON as IPPROTO_EON, IPPROTO_HELLO as IPPROTO_HELLO, IPPROTO_IPCOMP as IPPROTO_IPCOMP, IPPROTO_XTP as IPPROTO_XTP, IPV6_USE_MIN_MTU as IPV6_USE_MIN_MTU, LOCAL_PEERCRED as LOCAL_PEERCRED, SCM_CREDS as SCM_CREDS, ) __all__ += [ "EAI_BADHINTS", "EAI_MAX", "EAI_PROTOCOL", "IPPROTO_EON", "IPPROTO_HELLO", "IPPROTO_IPCOMP", "IPPROTO_XTP", "IPV6_USE_MIN_MTU", "LOCAL_PEERCRED", "SCM_CREDS", "AI_DEFAULT", "AI_MASK", "AI_V4MAPPED_CFG", "MSG_EOF", ] if sys.platform != "win32" and sys.platform != "darwin" and sys.platform != "linux": from _socket import ( IPPROTO_BIP as IPPROTO_BIP, IPPROTO_MOBILE as IPPROTO_MOBILE, IPPROTO_VRRP as IPPROTO_VRRP, MSG_BTAG as MSG_BTAG, MSG_ETAG as MSG_ETAG, SO_SETFIB as SO_SETFIB, ) __all__ += ["SO_SETFIB", "MSG_BTAG", "MSG_ETAG", "IPPROTO_BIP", "IPPROTO_MOBILE", "IPPROTO_VRRP", "MSG_NOTIFICATION"] if sys.platform != "linux": from _socket import ( IP_RECVDSTADDR as IP_RECVDSTADDR, IPPROTO_GGP as IPPROTO_GGP, IPPROTO_IPV4 as IPPROTO_IPV4, IPPROTO_MAX as IPPROTO_MAX, IPPROTO_ND as IPPROTO_ND, SO_USELOOPBACK as SO_USELOOPBACK, ) __all__ += ["IPPROTO_GGP", "IPPROTO_IPV4", "IPPROTO_MAX", "IPPROTO_ND", "IP_RECVDSTADDR", "SO_USELOOPBACK"] if sys.version_info >= (3, 14): from _socket import IP_RECVTTL as IP_RECVTTL __all__ += ["IP_RECVTTL"] if sys.platform == "win32" or sys.platform == "linux": from _socket import IP_RECVERR as IP_RECVERR, IPV6_RECVERR as IPV6_RECVERR, SO_ORIGINAL_DST as SO_ORIGINAL_DST __all__ += ["IP_RECVERR", "IPV6_RECVERR", "SO_ORIGINAL_DST"] if sys.platform == "win32": from _socket import ( SO_BTH_ENCRYPT as SO_BTH_ENCRYPT, SO_BTH_MTU as SO_BTH_MTU, SO_BTH_MTU_MAX as SO_BTH_MTU_MAX, SO_BTH_MTU_MIN as SO_BTH_MTU_MIN, SOL_RFCOMM as SOL_RFCOMM, TCP_QUICKACK as TCP_QUICKACK, ) __all__ += ["SOL_RFCOMM", "SO_BTH_ENCRYPT", "SO_BTH_MTU", "SO_BTH_MTU_MAX", "SO_BTH_MTU_MIN", "TCP_QUICKACK"] if sys.platform == "linux": from _socket import ( IP_FREEBIND as IP_FREEBIND, IP_RECVORIGDSTADDR as IP_RECVORIGDSTADDR, VMADDR_CID_LOCAL as VMADDR_CID_LOCAL, ) __all__ += ["IP_FREEBIND", "IP_RECVORIGDSTADDR", "VMADDR_CID_LOCAL"] # Re-exported from errno EBADF: Final[int] EAGAIN: Final[int] EWOULDBLOCK: Final[int] # These errors are implemented in _socket at runtime # but they consider themselves to live in socket so we'll put them here. error = OSError class herror(error): ... class gaierror(error): ... if sys.version_info >= (3, 10): timeout = TimeoutError else: class timeout(error): ... class AddressFamily(IntEnum): AF_INET = 2 AF_INET6 = 10 AF_APPLETALK = 5 AF_IPX = 4 AF_SNA = 22 AF_UNSPEC = 0 if sys.platform != "darwin": AF_IRDA = 23 if sys.platform != "win32": AF_ROUTE = 16 AF_UNIX = 1 if sys.platform == "darwin": AF_SYSTEM = 32 if sys.platform != "win32" and sys.platform != "darwin": AF_ASH = 18 AF_ATMPVC = 8 AF_ATMSVC = 20 AF_AX25 = 3 AF_BRIDGE = 7 AF_ECONET = 19 AF_KEY = 15 AF_LLC = 26 AF_NETBEUI = 13 AF_NETROM = 6 AF_PPPOX = 24 AF_ROSE = 11 AF_SECURITY = 14 AF_WANPIPE = 25 AF_X25 = 9 if sys.platform == "linux": AF_CAN = 29 AF_PACKET = 17 AF_RDS = 21 AF_TIPC = 30 AF_ALG = 38 AF_NETLINK = 16 AF_VSOCK = 40 AF_QIPCRTR = 42 if sys.platform != "linux": AF_LINK = 33 if sys.platform != "darwin" and sys.platform != "linux": AF_BLUETOOTH = 32 if sys.platform == "win32" and sys.version_info >= (3, 12): AF_HYPERV = 34 if sys.platform != "linux" and sys.platform != "win32" and sys.platform != "darwin" and sys.version_info >= (3, 12): # FreeBSD >= 14.0 AF_DIVERT = 44 AF_INET: Final = AddressFamily.AF_INET AF_INET6: Final = AddressFamily.AF_INET6 AF_APPLETALK: Final = AddressFamily.AF_APPLETALK AF_DECnet: Final = 12 AF_IPX: Final = AddressFamily.AF_IPX AF_SNA: Final = AddressFamily.AF_SNA AF_UNSPEC: Final = AddressFamily.AF_UNSPEC if sys.platform != "darwin": AF_IRDA: Final = AddressFamily.AF_IRDA if sys.platform != "win32": AF_ROUTE: Final = AddressFamily.AF_ROUTE AF_UNIX: Final = AddressFamily.AF_UNIX if sys.platform == "darwin": AF_SYSTEM: Final = AddressFamily.AF_SYSTEM if sys.platform != "win32" and sys.platform != "darwin": AF_ASH: Final = AddressFamily.AF_ASH AF_ATMPVC: Final = AddressFamily.AF_ATMPVC AF_ATMSVC: Final = AddressFamily.AF_ATMSVC AF_AX25: Final = AddressFamily.AF_AX25 AF_BRIDGE: Final = AddressFamily.AF_BRIDGE AF_ECONET: Final = AddressFamily.AF_ECONET AF_KEY: Final = AddressFamily.AF_KEY AF_LLC: Final = AddressFamily.AF_LLC AF_NETBEUI: Final = AddressFamily.AF_NETBEUI AF_NETROM: Final = AddressFamily.AF_NETROM AF_PPPOX: Final = AddressFamily.AF_PPPOX AF_ROSE: Final = AddressFamily.AF_ROSE AF_SECURITY: Final = AddressFamily.AF_SECURITY AF_WANPIPE: Final = AddressFamily.AF_WANPIPE AF_X25: Final = AddressFamily.AF_X25 if sys.platform == "linux": AF_CAN: Final = AddressFamily.AF_CAN AF_PACKET: Final = AddressFamily.AF_PACKET AF_RDS: Final = AddressFamily.AF_RDS AF_TIPC: Final = AddressFamily.AF_TIPC AF_ALG: Final = AddressFamily.AF_ALG AF_NETLINK: Final = AddressFamily.AF_NETLINK AF_VSOCK: Final = AddressFamily.AF_VSOCK AF_QIPCRTR: Final = AddressFamily.AF_QIPCRTR if sys.platform != "linux": AF_LINK: Final = AddressFamily.AF_LINK if sys.platform != "darwin" and sys.platform != "linux": AF_BLUETOOTH: Final = AddressFamily.AF_BLUETOOTH if sys.platform == "win32" and sys.version_info >= (3, 12): AF_HYPERV: Final = AddressFamily.AF_HYPERV if sys.platform != "linux" and sys.platform != "win32" and sys.platform != "darwin" and sys.version_info >= (3, 12): # FreeBSD >= 14.0 AF_DIVERT: Final = AddressFamily.AF_DIVERT class SocketKind(IntEnum): SOCK_STREAM = 1 SOCK_DGRAM = 2 SOCK_RAW = 3 SOCK_RDM = 4 SOCK_SEQPACKET = 5 if sys.platform == "linux": SOCK_CLOEXEC = 524288 SOCK_NONBLOCK = 2048 SOCK_STREAM: Final = SocketKind.SOCK_STREAM SOCK_DGRAM: Final = SocketKind.SOCK_DGRAM SOCK_RAW: Final = SocketKind.SOCK_RAW SOCK_RDM: Final = SocketKind.SOCK_RDM SOCK_SEQPACKET: Final = SocketKind.SOCK_SEQPACKET if sys.platform == "linux": SOCK_CLOEXEC: Final = SocketKind.SOCK_CLOEXEC SOCK_NONBLOCK: Final = SocketKind.SOCK_NONBLOCK class MsgFlag(IntFlag): MSG_CTRUNC = 8 MSG_DONTROUTE = 4 MSG_OOB = 1 MSG_PEEK = 2 MSG_TRUNC = 32 MSG_WAITALL = 256 if sys.platform == "win32": MSG_BCAST = 1024 MSG_MCAST = 2048 if sys.platform != "darwin": MSG_ERRQUEUE = 8192 if sys.platform != "win32" and sys.platform != "darwin": MSG_CMSG_CLOEXEC = 1073741821 MSG_CONFIRM = 2048 MSG_FASTOPEN = 536870912 MSG_MORE = 32768 if sys.platform != "win32" and sys.platform != "darwin" and sys.platform != "linux": MSG_NOTIFICATION = 8192 if sys.platform != "win32": MSG_DONTWAIT = 64 MSG_EOR = 128 MSG_NOSIGNAL = 16384 # sometimes this exists on darwin, sometimes not if sys.platform != "win32" and sys.platform != "linux": MSG_EOF = 256 MSG_CTRUNC: Final = MsgFlag.MSG_CTRUNC MSG_DONTROUTE: Final = MsgFlag.MSG_DONTROUTE MSG_OOB: Final = MsgFlag.MSG_OOB MSG_PEEK: Final = MsgFlag.MSG_PEEK MSG_TRUNC: Final = MsgFlag.MSG_TRUNC MSG_WAITALL: Final = MsgFlag.MSG_WAITALL if sys.platform == "win32": MSG_BCAST: Final = MsgFlag.MSG_BCAST MSG_MCAST: Final = MsgFlag.MSG_MCAST if sys.platform != "darwin": MSG_ERRQUEUE: Final = MsgFlag.MSG_ERRQUEUE if sys.platform != "win32": MSG_DONTWAIT: Final = MsgFlag.MSG_DONTWAIT MSG_EOR: Final = MsgFlag.MSG_EOR MSG_NOSIGNAL: Final = MsgFlag.MSG_NOSIGNAL # Sometimes this exists on darwin, sometimes not if sys.platform != "win32" and sys.platform != "darwin": MSG_CMSG_CLOEXEC: Final = MsgFlag.MSG_CMSG_CLOEXEC MSG_CONFIRM: Final = MsgFlag.MSG_CONFIRM MSG_FASTOPEN: Final = MsgFlag.MSG_FASTOPEN MSG_MORE: Final = MsgFlag.MSG_MORE if sys.platform != "win32" and sys.platform != "darwin" and sys.platform != "linux": MSG_NOTIFICATION: Final = MsgFlag.MSG_NOTIFICATION if sys.platform != "win32" and sys.platform != "linux": MSG_EOF: Final = MsgFlag.MSG_EOF class AddressInfo(IntFlag): AI_ADDRCONFIG = 32 AI_ALL = 16 AI_CANONNAME = 2 AI_NUMERICHOST = 4 AI_NUMERICSERV = 1024 AI_PASSIVE = 1 AI_V4MAPPED = 8 if sys.platform != "win32" and sys.platform != "linux": AI_DEFAULT = 1536 AI_MASK = 5127 AI_V4MAPPED_CFG = 512 AI_ADDRCONFIG: Final = AddressInfo.AI_ADDRCONFIG AI_ALL: Final = AddressInfo.AI_ALL AI_CANONNAME: Final = AddressInfo.AI_CANONNAME AI_NUMERICHOST: Final = AddressInfo.AI_NUMERICHOST AI_NUMERICSERV: Final = AddressInfo.AI_NUMERICSERV AI_PASSIVE: Final = AddressInfo.AI_PASSIVE AI_V4MAPPED: Final = AddressInfo.AI_V4MAPPED if sys.platform != "win32" and sys.platform != "linux": AI_DEFAULT: Final = AddressInfo.AI_DEFAULT AI_MASK: Final = AddressInfo.AI_MASK AI_V4MAPPED_CFG: Final = AddressInfo.AI_V4MAPPED_CFG if sys.platform == "win32": errorTab: dict[int, str] # undocumented @type_check_only class _SendableFile(Protocol): def read(self, size: int, /) -> bytes: ... def seek(self, offset: int, /) -> object: ... # optional fields: # # @property # def mode(self) -> str: ... # def fileno(self) -> int: ... class socket(_socket.socket): __slots__ = ["__weakref__", "_io_refs", "_closed"] def __init__( self, family: AddressFamily | int = -1, type: SocketKind | int = -1, proto: int = -1, fileno: int | None = None ) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def dup(self) -> Self: ... def accept(self) -> tuple[socket, _RetAddress]: ... # Note that the makefile's documented windows-specific behavior is not represented # mode strings with duplicates are intentionally excluded @overload def makefile( self, mode: Literal["b", "rb", "br", "wb", "bw", "rwb", "rbw", "wrb", "wbr", "brw", "bwr"], buffering: Literal[0], *, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> SocketIO: ... @overload def makefile( self, mode: Literal["rwb", "rbw", "wrb", "wbr", "brw", "bwr"], buffering: Literal[-1, 1] | None = None, *, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> BufferedRWPair: ... @overload def makefile( self, mode: Literal["rb", "br"], buffering: Literal[-1, 1] | None = None, *, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> BufferedReader: ... @overload def makefile( self, mode: Literal["wb", "bw"], buffering: Literal[-1, 1] | None = None, *, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> BufferedWriter: ... @overload def makefile( self, mode: Literal["b", "rb", "br", "wb", "bw", "rwb", "rbw", "wrb", "wbr", "brw", "bwr"], buffering: int, *, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> IOBase: ... @overload def makefile( self, mode: Literal["r", "w", "rw", "wr", ""] = "r", buffering: int | None = None, *, encoding: str | None = None, errors: str | None = None, newline: str | None = None, ) -> TextIOWrapper: ... def sendfile(self, file: _SendableFile, offset: int = 0, count: int | None = None) -> int: ... @property def family(self) -> AddressFamily: ... @property def type(self) -> SocketKind: ... def get_inheritable(self) -> bool: ... def set_inheritable(self, inheritable: bool) -> None: ... def fromfd(fd: SupportsIndex, family: AddressFamily | int, type: SocketKind | int, proto: int = 0) -> socket: ... if sys.platform != "win32": def send_fds( sock: socket, buffers: Iterable[ReadableBuffer], fds: Iterable[int], flags: Unused = 0, address: Unused = None ) -> int: ... def recv_fds(sock: socket, bufsize: int, maxfds: int, flags: int = 0) -> tuple[bytes, list[int], int, Any]: ... if sys.platform == "win32": def fromshare(info: bytes) -> socket: ... if sys.platform == "win32": def socketpair(family: int = ..., type: int = ..., proto: int = 0) -> tuple[socket, socket]: ... else: def socketpair( family: int | AddressFamily | None = None, type: SocketType | int = ..., proto: int = 0 ) -> tuple[socket, socket]: ... class SocketIO(RawIOBase): def __init__(self, sock: socket, mode: Literal["r", "w", "rw", "rb", "wb", "rwb"]) -> None: ... def readinto(self, b: WriteableBuffer) -> int | None: ... def write(self, b: ReadableBuffer) -> int | None: ... @property def name(self) -> int: ... # return value is really "int" @property def mode(self) -> Literal["rb", "wb", "rwb"]: ... def getfqdn(name: str = "") -> str: ... if sys.version_info >= (3, 11): def create_connection( address: tuple[str | None, int], timeout: float | None = ..., source_address: _Address | None = None, *, all_errors: bool = False, ) -> socket: ... else: def create_connection( address: tuple[str | None, int], timeout: float | None = ..., source_address: _Address | None = None ) -> socket: ... def has_dualstack_ipv6() -> bool: ... def create_server( address: _Address, *, family: int = ..., backlog: int | None = None, reuse_port: bool = False, dualstack_ipv6: bool = False ) -> socket: ... # The 5th tuple item is the socket address, for IP4, IP6, or IP6 if Python is compiled with --disable-ipv6, respectively. def getaddrinfo( host: bytes | str | None, port: bytes | str | int | None, family: int = 0, type: int = 0, proto: int = 0, flags: int = 0 ) -> list[tuple[AddressFamily, SocketKind, int, str, tuple[str, int] | tuple[str, int, int, int] | tuple[int, bytes]]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/socketserver.pyi0000644000175100017510000001551715112307767021636 0ustar00runnerrunnerimport sys import types from _socket import _Address, _RetAddress from _typeshed import ReadableBuffer from collections.abc import Callable from io import BufferedIOBase from socket import socket as _socket from typing import Any, ClassVar from typing_extensions import Self, TypeAlias __all__ = [ "BaseServer", "TCPServer", "UDPServer", "ThreadingUDPServer", "ThreadingTCPServer", "BaseRequestHandler", "StreamRequestHandler", "DatagramRequestHandler", "ThreadingMixIn", ] if sys.platform != "win32": __all__ += [ "ForkingMixIn", "ForkingTCPServer", "ForkingUDPServer", "ThreadingUnixDatagramServer", "ThreadingUnixStreamServer", "UnixDatagramServer", "UnixStreamServer", ] if sys.version_info >= (3, 12): __all__ += ["ForkingUnixStreamServer", "ForkingUnixDatagramServer"] _RequestType: TypeAlias = _socket | tuple[bytes, _socket] _AfUnixAddress: TypeAlias = str | ReadableBuffer # address acceptable for an AF_UNIX socket _AfInetAddress: TypeAlias = tuple[str | bytes | bytearray, int] # address acceptable for an AF_INET socket _AfInet6Address: TypeAlias = tuple[str | bytes | bytearray, int, int, int] # address acceptable for an AF_INET6 socket # This can possibly be generic at some point: class BaseServer: server_address: _Address timeout: float | None RequestHandlerClass: Callable[[Any, _RetAddress, Self], BaseRequestHandler] def __init__( self, server_address: _Address, RequestHandlerClass: Callable[[Any, _RetAddress, Self], BaseRequestHandler] ) -> None: ... def handle_request(self) -> None: ... def serve_forever(self, poll_interval: float = 0.5) -> None: ... def shutdown(self) -> None: ... def server_close(self) -> None: ... def finish_request(self, request: _RequestType, client_address: _RetAddress) -> None: ... def get_request(self) -> tuple[Any, Any]: ... # Not implemented here, but expected to exist on subclasses def handle_error(self, request: _RequestType, client_address: _RetAddress) -> None: ... def handle_timeout(self) -> None: ... def process_request(self, request: _RequestType, client_address: _RetAddress) -> None: ... def server_activate(self) -> None: ... def verify_request(self, request: _RequestType, client_address: _RetAddress) -> bool: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: types.TracebackType | None ) -> None: ... def service_actions(self) -> None: ... def shutdown_request(self, request: _RequestType) -> None: ... # undocumented def close_request(self, request: _RequestType) -> None: ... # undocumented class TCPServer(BaseServer): address_family: int socket: _socket allow_reuse_address: bool request_queue_size: int socket_type: int if sys.version_info >= (3, 11): allow_reuse_port: bool server_address: _AfInetAddress | _AfInet6Address def __init__( self, server_address: _AfInetAddress | _AfInet6Address, RequestHandlerClass: Callable[[Any, _RetAddress, Self], BaseRequestHandler], bind_and_activate: bool = True, ) -> None: ... def fileno(self) -> int: ... def get_request(self) -> tuple[_socket, _RetAddress]: ... def server_bind(self) -> None: ... class UDPServer(TCPServer): max_packet_size: ClassVar[int] def get_request(self) -> tuple[tuple[bytes, _socket], _RetAddress]: ... # type: ignore[override] if sys.platform != "win32": class UnixStreamServer(TCPServer): server_address: _AfUnixAddress # type: ignore[assignment] def __init__( self, server_address: _AfUnixAddress, RequestHandlerClass: Callable[[Any, _RetAddress, Self], BaseRequestHandler], bind_and_activate: bool = True, ) -> None: ... class UnixDatagramServer(UDPServer): server_address: _AfUnixAddress # type: ignore[assignment] def __init__( self, server_address: _AfUnixAddress, RequestHandlerClass: Callable[[Any, _RetAddress, Self], BaseRequestHandler], bind_and_activate: bool = True, ) -> None: ... if sys.platform != "win32": class ForkingMixIn: timeout: float | None # undocumented active_children: set[int] | None # undocumented max_children: int # undocumented block_on_close: bool def collect_children(self, *, blocking: bool = False) -> None: ... # undocumented def handle_timeout(self) -> None: ... # undocumented def service_actions(self) -> None: ... # undocumented def process_request(self, request: _RequestType, client_address: _RetAddress) -> None: ... def server_close(self) -> None: ... class ThreadingMixIn: daemon_threads: bool block_on_close: bool def process_request_thread(self, request: _RequestType, client_address: _RetAddress) -> None: ... # undocumented def process_request(self, request: _RequestType, client_address: _RetAddress) -> None: ... def server_close(self) -> None: ... if sys.platform != "win32": class ForkingTCPServer(ForkingMixIn, TCPServer): ... class ForkingUDPServer(ForkingMixIn, UDPServer): ... if sys.version_info >= (3, 12): class ForkingUnixStreamServer(ForkingMixIn, UnixStreamServer): ... class ForkingUnixDatagramServer(ForkingMixIn, UnixDatagramServer): ... class ThreadingTCPServer(ThreadingMixIn, TCPServer): ... class ThreadingUDPServer(ThreadingMixIn, UDPServer): ... if sys.platform != "win32": class ThreadingUnixStreamServer(ThreadingMixIn, UnixStreamServer): ... class ThreadingUnixDatagramServer(ThreadingMixIn, UnixDatagramServer): ... class BaseRequestHandler: # `request` is technically of type _RequestType, # but there are some concerns that having a union here would cause # too much inconvenience to people using it (see # https://github.com/python/typeshed/pull/384#issuecomment-234649696) # # Note also that _RetAddress is also just an alias for `Any` request: Any client_address: _RetAddress server: BaseServer def __init__(self, request: _RequestType, client_address: _RetAddress, server: BaseServer) -> None: ... def setup(self) -> None: ... def handle(self) -> None: ... def finish(self) -> None: ... class StreamRequestHandler(BaseRequestHandler): rbufsize: ClassVar[int] # undocumented wbufsize: ClassVar[int] # undocumented timeout: ClassVar[float | None] # undocumented disable_nagle_algorithm: ClassVar[bool] # undocumented connection: Any # undocumented rfile: BufferedIOBase wfile: BufferedIOBase class DatagramRequestHandler(BaseRequestHandler): packet: bytes # undocumented socket: _socket # undocumented rfile: BufferedIOBase wfile: BufferedIOBase ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/spwd.pyi0000644000175100017510000000242315112307767020064 0ustar00runnerrunnerimport sys from _typeshed import structseq from typing import Any, Final, final if sys.platform != "win32": @final class struct_spwd(structseq[Any], tuple[str, str, int, int, int, int, int, int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ( "sp_namp", "sp_pwdp", "sp_lstchg", "sp_min", "sp_max", "sp_warn", "sp_inact", "sp_expire", "sp_flag", ) @property def sp_namp(self) -> str: ... @property def sp_pwdp(self) -> str: ... @property def sp_lstchg(self) -> int: ... @property def sp_min(self) -> int: ... @property def sp_max(self) -> int: ... @property def sp_warn(self) -> int: ... @property def sp_inact(self) -> int: ... @property def sp_expire(self) -> int: ... @property def sp_flag(self) -> int: ... # Deprecated aliases below. @property def sp_nam(self) -> str: ... @property def sp_pwd(self) -> str: ... def getspall() -> list[struct_spwd]: ... def getspnam(arg: str, /) -> struct_spwd: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6087656 mypy-1.19.0/mypy/typeshed/stdlib/sqlite3/0000755000175100017510000000000015112310012017720 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sqlite3/__init__.pyi0000644000175100017510000005255215112307767022242 0ustar00runnerrunnerimport sys from _typeshed import MaybeNone, ReadableBuffer, StrOrBytesPath, SupportsLenAndGetItem, Unused from collections.abc import Callable, Generator, Iterable, Iterator, Mapping, Sequence from sqlite3.dbapi2 import ( PARSE_COLNAMES as PARSE_COLNAMES, PARSE_DECLTYPES as PARSE_DECLTYPES, SQLITE_ALTER_TABLE as SQLITE_ALTER_TABLE, SQLITE_ANALYZE as SQLITE_ANALYZE, SQLITE_ATTACH as SQLITE_ATTACH, SQLITE_CREATE_INDEX as SQLITE_CREATE_INDEX, SQLITE_CREATE_TABLE as SQLITE_CREATE_TABLE, SQLITE_CREATE_TEMP_INDEX as SQLITE_CREATE_TEMP_INDEX, SQLITE_CREATE_TEMP_TABLE as SQLITE_CREATE_TEMP_TABLE, SQLITE_CREATE_TEMP_TRIGGER as SQLITE_CREATE_TEMP_TRIGGER, SQLITE_CREATE_TEMP_VIEW as SQLITE_CREATE_TEMP_VIEW, SQLITE_CREATE_TRIGGER as SQLITE_CREATE_TRIGGER, SQLITE_CREATE_VIEW as SQLITE_CREATE_VIEW, SQLITE_CREATE_VTABLE as SQLITE_CREATE_VTABLE, SQLITE_DELETE as SQLITE_DELETE, SQLITE_DENY as SQLITE_DENY, SQLITE_DETACH as SQLITE_DETACH, SQLITE_DONE as SQLITE_DONE, SQLITE_DROP_INDEX as SQLITE_DROP_INDEX, SQLITE_DROP_TABLE as SQLITE_DROP_TABLE, SQLITE_DROP_TEMP_INDEX as SQLITE_DROP_TEMP_INDEX, SQLITE_DROP_TEMP_TABLE as SQLITE_DROP_TEMP_TABLE, SQLITE_DROP_TEMP_TRIGGER as SQLITE_DROP_TEMP_TRIGGER, SQLITE_DROP_TEMP_VIEW as SQLITE_DROP_TEMP_VIEW, SQLITE_DROP_TRIGGER as SQLITE_DROP_TRIGGER, SQLITE_DROP_VIEW as SQLITE_DROP_VIEW, SQLITE_DROP_VTABLE as SQLITE_DROP_VTABLE, SQLITE_FUNCTION as SQLITE_FUNCTION, SQLITE_IGNORE as SQLITE_IGNORE, SQLITE_INSERT as SQLITE_INSERT, SQLITE_OK as SQLITE_OK, SQLITE_PRAGMA as SQLITE_PRAGMA, SQLITE_READ as SQLITE_READ, SQLITE_RECURSIVE as SQLITE_RECURSIVE, SQLITE_REINDEX as SQLITE_REINDEX, SQLITE_SAVEPOINT as SQLITE_SAVEPOINT, SQLITE_SELECT as SQLITE_SELECT, SQLITE_TRANSACTION as SQLITE_TRANSACTION, SQLITE_UPDATE as SQLITE_UPDATE, Binary as Binary, Date as Date, DateFromTicks as DateFromTicks, Time as Time, TimeFromTicks as TimeFromTicks, TimestampFromTicks as TimestampFromTicks, adapt as adapt, adapters as adapters, apilevel as apilevel, complete_statement as complete_statement, connect as connect, converters as converters, enable_callback_tracebacks as enable_callback_tracebacks, paramstyle as paramstyle, register_adapter as register_adapter, register_converter as register_converter, sqlite_version as sqlite_version, sqlite_version_info as sqlite_version_info, threadsafety as threadsafety, ) from types import TracebackType from typing import Any, Literal, Protocol, SupportsIndex, TypeVar, final, overload, type_check_only from typing_extensions import Self, TypeAlias, disjoint_base if sys.version_info < (3, 14): from sqlite3.dbapi2 import version_info as version_info if sys.version_info >= (3, 12): from sqlite3.dbapi2 import ( LEGACY_TRANSACTION_CONTROL as LEGACY_TRANSACTION_CONTROL, SQLITE_DBCONFIG_DEFENSIVE as SQLITE_DBCONFIG_DEFENSIVE, SQLITE_DBCONFIG_DQS_DDL as SQLITE_DBCONFIG_DQS_DDL, SQLITE_DBCONFIG_DQS_DML as SQLITE_DBCONFIG_DQS_DML, SQLITE_DBCONFIG_ENABLE_FKEY as SQLITE_DBCONFIG_ENABLE_FKEY, SQLITE_DBCONFIG_ENABLE_FTS3_TOKENIZER as SQLITE_DBCONFIG_ENABLE_FTS3_TOKENIZER, SQLITE_DBCONFIG_ENABLE_LOAD_EXTENSION as SQLITE_DBCONFIG_ENABLE_LOAD_EXTENSION, SQLITE_DBCONFIG_ENABLE_QPSG as SQLITE_DBCONFIG_ENABLE_QPSG, SQLITE_DBCONFIG_ENABLE_TRIGGER as SQLITE_DBCONFIG_ENABLE_TRIGGER, SQLITE_DBCONFIG_ENABLE_VIEW as SQLITE_DBCONFIG_ENABLE_VIEW, SQLITE_DBCONFIG_LEGACY_ALTER_TABLE as SQLITE_DBCONFIG_LEGACY_ALTER_TABLE, SQLITE_DBCONFIG_LEGACY_FILE_FORMAT as SQLITE_DBCONFIG_LEGACY_FILE_FORMAT, SQLITE_DBCONFIG_NO_CKPT_ON_CLOSE as SQLITE_DBCONFIG_NO_CKPT_ON_CLOSE, SQLITE_DBCONFIG_RESET_DATABASE as SQLITE_DBCONFIG_RESET_DATABASE, SQLITE_DBCONFIG_TRIGGER_EQP as SQLITE_DBCONFIG_TRIGGER_EQP, SQLITE_DBCONFIG_TRUSTED_SCHEMA as SQLITE_DBCONFIG_TRUSTED_SCHEMA, SQLITE_DBCONFIG_WRITABLE_SCHEMA as SQLITE_DBCONFIG_WRITABLE_SCHEMA, ) if sys.version_info >= (3, 11): from sqlite3.dbapi2 import ( SQLITE_ABORT as SQLITE_ABORT, SQLITE_ABORT_ROLLBACK as SQLITE_ABORT_ROLLBACK, SQLITE_AUTH as SQLITE_AUTH, SQLITE_AUTH_USER as SQLITE_AUTH_USER, SQLITE_BUSY as SQLITE_BUSY, SQLITE_BUSY_RECOVERY as SQLITE_BUSY_RECOVERY, SQLITE_BUSY_SNAPSHOT as SQLITE_BUSY_SNAPSHOT, SQLITE_BUSY_TIMEOUT as SQLITE_BUSY_TIMEOUT, SQLITE_CANTOPEN as SQLITE_CANTOPEN, SQLITE_CANTOPEN_CONVPATH as SQLITE_CANTOPEN_CONVPATH, SQLITE_CANTOPEN_DIRTYWAL as SQLITE_CANTOPEN_DIRTYWAL, SQLITE_CANTOPEN_FULLPATH as SQLITE_CANTOPEN_FULLPATH, SQLITE_CANTOPEN_ISDIR as SQLITE_CANTOPEN_ISDIR, SQLITE_CANTOPEN_NOTEMPDIR as SQLITE_CANTOPEN_NOTEMPDIR, SQLITE_CANTOPEN_SYMLINK as SQLITE_CANTOPEN_SYMLINK, SQLITE_CONSTRAINT as SQLITE_CONSTRAINT, SQLITE_CONSTRAINT_CHECK as SQLITE_CONSTRAINT_CHECK, SQLITE_CONSTRAINT_COMMITHOOK as SQLITE_CONSTRAINT_COMMITHOOK, SQLITE_CONSTRAINT_FOREIGNKEY as SQLITE_CONSTRAINT_FOREIGNKEY, SQLITE_CONSTRAINT_FUNCTION as SQLITE_CONSTRAINT_FUNCTION, SQLITE_CONSTRAINT_NOTNULL as SQLITE_CONSTRAINT_NOTNULL, SQLITE_CONSTRAINT_PINNED as SQLITE_CONSTRAINT_PINNED, SQLITE_CONSTRAINT_PRIMARYKEY as SQLITE_CONSTRAINT_PRIMARYKEY, SQLITE_CONSTRAINT_ROWID as SQLITE_CONSTRAINT_ROWID, SQLITE_CONSTRAINT_TRIGGER as SQLITE_CONSTRAINT_TRIGGER, SQLITE_CONSTRAINT_UNIQUE as SQLITE_CONSTRAINT_UNIQUE, SQLITE_CONSTRAINT_VTAB as SQLITE_CONSTRAINT_VTAB, SQLITE_CORRUPT as SQLITE_CORRUPT, SQLITE_CORRUPT_INDEX as SQLITE_CORRUPT_INDEX, SQLITE_CORRUPT_SEQUENCE as SQLITE_CORRUPT_SEQUENCE, SQLITE_CORRUPT_VTAB as SQLITE_CORRUPT_VTAB, SQLITE_EMPTY as SQLITE_EMPTY, SQLITE_ERROR as SQLITE_ERROR, SQLITE_ERROR_MISSING_COLLSEQ as SQLITE_ERROR_MISSING_COLLSEQ, SQLITE_ERROR_RETRY as SQLITE_ERROR_RETRY, SQLITE_ERROR_SNAPSHOT as SQLITE_ERROR_SNAPSHOT, SQLITE_FORMAT as SQLITE_FORMAT, SQLITE_FULL as SQLITE_FULL, SQLITE_INTERNAL as SQLITE_INTERNAL, SQLITE_INTERRUPT as SQLITE_INTERRUPT, SQLITE_IOERR as SQLITE_IOERR, SQLITE_IOERR_ACCESS as SQLITE_IOERR_ACCESS, SQLITE_IOERR_AUTH as SQLITE_IOERR_AUTH, SQLITE_IOERR_BEGIN_ATOMIC as SQLITE_IOERR_BEGIN_ATOMIC, SQLITE_IOERR_BLOCKED as SQLITE_IOERR_BLOCKED, SQLITE_IOERR_CHECKRESERVEDLOCK as SQLITE_IOERR_CHECKRESERVEDLOCK, SQLITE_IOERR_CLOSE as SQLITE_IOERR_CLOSE, SQLITE_IOERR_COMMIT_ATOMIC as SQLITE_IOERR_COMMIT_ATOMIC, SQLITE_IOERR_CONVPATH as SQLITE_IOERR_CONVPATH, SQLITE_IOERR_CORRUPTFS as SQLITE_IOERR_CORRUPTFS, SQLITE_IOERR_DATA as SQLITE_IOERR_DATA, SQLITE_IOERR_DELETE as SQLITE_IOERR_DELETE, SQLITE_IOERR_DELETE_NOENT as SQLITE_IOERR_DELETE_NOENT, SQLITE_IOERR_DIR_CLOSE as SQLITE_IOERR_DIR_CLOSE, SQLITE_IOERR_DIR_FSYNC as SQLITE_IOERR_DIR_FSYNC, SQLITE_IOERR_FSTAT as SQLITE_IOERR_FSTAT, SQLITE_IOERR_FSYNC as SQLITE_IOERR_FSYNC, SQLITE_IOERR_GETTEMPPATH as SQLITE_IOERR_GETTEMPPATH, SQLITE_IOERR_LOCK as SQLITE_IOERR_LOCK, SQLITE_IOERR_MMAP as SQLITE_IOERR_MMAP, SQLITE_IOERR_NOMEM as SQLITE_IOERR_NOMEM, SQLITE_IOERR_RDLOCK as SQLITE_IOERR_RDLOCK, SQLITE_IOERR_READ as SQLITE_IOERR_READ, SQLITE_IOERR_ROLLBACK_ATOMIC as SQLITE_IOERR_ROLLBACK_ATOMIC, SQLITE_IOERR_SEEK as SQLITE_IOERR_SEEK, SQLITE_IOERR_SHMLOCK as SQLITE_IOERR_SHMLOCK, SQLITE_IOERR_SHMMAP as SQLITE_IOERR_SHMMAP, SQLITE_IOERR_SHMOPEN as SQLITE_IOERR_SHMOPEN, SQLITE_IOERR_SHMSIZE as SQLITE_IOERR_SHMSIZE, SQLITE_IOERR_SHORT_READ as SQLITE_IOERR_SHORT_READ, SQLITE_IOERR_TRUNCATE as SQLITE_IOERR_TRUNCATE, SQLITE_IOERR_UNLOCK as SQLITE_IOERR_UNLOCK, SQLITE_IOERR_VNODE as SQLITE_IOERR_VNODE, SQLITE_IOERR_WRITE as SQLITE_IOERR_WRITE, SQLITE_LIMIT_ATTACHED as SQLITE_LIMIT_ATTACHED, SQLITE_LIMIT_COLUMN as SQLITE_LIMIT_COLUMN, SQLITE_LIMIT_COMPOUND_SELECT as SQLITE_LIMIT_COMPOUND_SELECT, SQLITE_LIMIT_EXPR_DEPTH as SQLITE_LIMIT_EXPR_DEPTH, SQLITE_LIMIT_FUNCTION_ARG as SQLITE_LIMIT_FUNCTION_ARG, SQLITE_LIMIT_LENGTH as SQLITE_LIMIT_LENGTH, SQLITE_LIMIT_LIKE_PATTERN_LENGTH as SQLITE_LIMIT_LIKE_PATTERN_LENGTH, SQLITE_LIMIT_SQL_LENGTH as SQLITE_LIMIT_SQL_LENGTH, SQLITE_LIMIT_TRIGGER_DEPTH as SQLITE_LIMIT_TRIGGER_DEPTH, SQLITE_LIMIT_VARIABLE_NUMBER as SQLITE_LIMIT_VARIABLE_NUMBER, SQLITE_LIMIT_VDBE_OP as SQLITE_LIMIT_VDBE_OP, SQLITE_LIMIT_WORKER_THREADS as SQLITE_LIMIT_WORKER_THREADS, SQLITE_LOCKED as SQLITE_LOCKED, SQLITE_LOCKED_SHAREDCACHE as SQLITE_LOCKED_SHAREDCACHE, SQLITE_LOCKED_VTAB as SQLITE_LOCKED_VTAB, SQLITE_MISMATCH as SQLITE_MISMATCH, SQLITE_MISUSE as SQLITE_MISUSE, SQLITE_NOLFS as SQLITE_NOLFS, SQLITE_NOMEM as SQLITE_NOMEM, SQLITE_NOTADB as SQLITE_NOTADB, SQLITE_NOTFOUND as SQLITE_NOTFOUND, SQLITE_NOTICE as SQLITE_NOTICE, SQLITE_NOTICE_RECOVER_ROLLBACK as SQLITE_NOTICE_RECOVER_ROLLBACK, SQLITE_NOTICE_RECOVER_WAL as SQLITE_NOTICE_RECOVER_WAL, SQLITE_OK_LOAD_PERMANENTLY as SQLITE_OK_LOAD_PERMANENTLY, SQLITE_OK_SYMLINK as SQLITE_OK_SYMLINK, SQLITE_PERM as SQLITE_PERM, SQLITE_PROTOCOL as SQLITE_PROTOCOL, SQLITE_RANGE as SQLITE_RANGE, SQLITE_READONLY as SQLITE_READONLY, SQLITE_READONLY_CANTINIT as SQLITE_READONLY_CANTINIT, SQLITE_READONLY_CANTLOCK as SQLITE_READONLY_CANTLOCK, SQLITE_READONLY_DBMOVED as SQLITE_READONLY_DBMOVED, SQLITE_READONLY_DIRECTORY as SQLITE_READONLY_DIRECTORY, SQLITE_READONLY_RECOVERY as SQLITE_READONLY_RECOVERY, SQLITE_READONLY_ROLLBACK as SQLITE_READONLY_ROLLBACK, SQLITE_ROW as SQLITE_ROW, SQLITE_SCHEMA as SQLITE_SCHEMA, SQLITE_TOOBIG as SQLITE_TOOBIG, SQLITE_WARNING as SQLITE_WARNING, SQLITE_WARNING_AUTOINDEX as SQLITE_WARNING_AUTOINDEX, ) if sys.version_info < (3, 12): from sqlite3.dbapi2 import enable_shared_cache as enable_shared_cache, version as version if sys.version_info < (3, 10): from sqlite3.dbapi2 import OptimizedUnicode as OptimizedUnicode _CursorT = TypeVar("_CursorT", bound=Cursor) _SqliteData: TypeAlias = str | ReadableBuffer | int | float | None # Data that is passed through adapters can be of any type accepted by an adapter. _AdaptedInputData: TypeAlias = _SqliteData | Any # The Mapping must really be a dict, but making it invariant is too annoying. _Parameters: TypeAlias = SupportsLenAndGetItem[_AdaptedInputData] | Mapping[str, _AdaptedInputData] # Controls the legacy transaction handling mode of sqlite3. _IsolationLevel: TypeAlias = Literal["DEFERRED", "EXCLUSIVE", "IMMEDIATE"] | None @type_check_only class _AnyParamWindowAggregateClass(Protocol): def step(self, *args: Any) -> object: ... def inverse(self, *args: Any) -> object: ... def value(self) -> _SqliteData: ... def finalize(self) -> _SqliteData: ... @type_check_only class _WindowAggregateClass(Protocol): step: Callable[..., object] inverse: Callable[..., object] def value(self) -> _SqliteData: ... def finalize(self) -> _SqliteData: ... @type_check_only class _AggregateProtocol(Protocol): def step(self, value: int, /) -> object: ... def finalize(self) -> int: ... @type_check_only class _SingleParamWindowAggregateClass(Protocol): def step(self, param: Any, /) -> object: ... def inverse(self, param: Any, /) -> object: ... def value(self) -> _SqliteData: ... def finalize(self) -> _SqliteData: ... # These classes are implemented in the C module _sqlite3. At runtime, they're imported # from there into sqlite3.dbapi2 and from that module to here. However, they # consider themselves to live in the sqlite3.* namespace, so we'll define them here. class Error(Exception): if sys.version_info >= (3, 11): sqlite_errorcode: int sqlite_errorname: str class DatabaseError(Error): ... class DataError(DatabaseError): ... class IntegrityError(DatabaseError): ... class InterfaceError(Error): ... class InternalError(DatabaseError): ... class NotSupportedError(DatabaseError): ... class OperationalError(DatabaseError): ... class ProgrammingError(DatabaseError): ... class Warning(Exception): ... @disjoint_base class Connection: @property def DataError(self) -> type[DataError]: ... @property def DatabaseError(self) -> type[DatabaseError]: ... @property def Error(self) -> type[Error]: ... @property def IntegrityError(self) -> type[IntegrityError]: ... @property def InterfaceError(self) -> type[InterfaceError]: ... @property def InternalError(self) -> type[InternalError]: ... @property def NotSupportedError(self) -> type[NotSupportedError]: ... @property def OperationalError(self) -> type[OperationalError]: ... @property def ProgrammingError(self) -> type[ProgrammingError]: ... @property def Warning(self) -> type[Warning]: ... @property def in_transaction(self) -> bool: ... isolation_level: _IsolationLevel @property def total_changes(self) -> int: ... if sys.version_info >= (3, 12): @property def autocommit(self) -> int: ... @autocommit.setter def autocommit(self, val: int) -> None: ... row_factory: Any text_factory: Any if sys.version_info >= (3, 12): def __init__( self, database: StrOrBytesPath, timeout: float = 5.0, detect_types: int = 0, isolation_level: _IsolationLevel = "DEFERRED", check_same_thread: bool = True, factory: type[Connection] | None = ..., cached_statements: int = 128, uri: bool = False, autocommit: bool = ..., ) -> None: ... else: def __init__( self, database: StrOrBytesPath, timeout: float = 5.0, detect_types: int = 0, isolation_level: _IsolationLevel = "DEFERRED", check_same_thread: bool = True, factory: type[Connection] | None = ..., cached_statements: int = 128, uri: bool = False, ) -> None: ... def close(self) -> None: ... if sys.version_info >= (3, 11): def blobopen(self, table: str, column: str, row: int, /, *, readonly: bool = False, name: str = "main") -> Blob: ... def commit(self) -> None: ... def create_aggregate(self, name: str, n_arg: int, aggregate_class: Callable[[], _AggregateProtocol]) -> None: ... if sys.version_info >= (3, 11): # num_params determines how many params will be passed to the aggregate class. We provide an overload # for the case where num_params = 1, which is expected to be the common case. @overload def create_window_function( self, name: str, num_params: Literal[1], aggregate_class: Callable[[], _SingleParamWindowAggregateClass] | None, / ) -> None: ... # And for num_params = -1, which means the aggregate must accept any number of parameters. @overload def create_window_function( self, name: str, num_params: Literal[-1], aggregate_class: Callable[[], _AnyParamWindowAggregateClass] | None, / ) -> None: ... @overload def create_window_function( self, name: str, num_params: int, aggregate_class: Callable[[], _WindowAggregateClass] | None, / ) -> None: ... def create_collation(self, name: str, callback: Callable[[str, str], int | SupportsIndex] | None, /) -> None: ... def create_function( self, name: str, narg: int, func: Callable[..., _SqliteData] | None, *, deterministic: bool = False ) -> None: ... @overload def cursor(self, factory: None = None) -> Cursor: ... @overload def cursor(self, factory: Callable[[Connection], _CursorT]) -> _CursorT: ... def execute(self, sql: str, parameters: _Parameters = ..., /) -> Cursor: ... def executemany(self, sql: str, parameters: Iterable[_Parameters], /) -> Cursor: ... def executescript(self, sql_script: str, /) -> Cursor: ... def interrupt(self) -> None: ... if sys.version_info >= (3, 13): def iterdump(self, *, filter: str | None = None) -> Generator[str, None, None]: ... else: def iterdump(self) -> Generator[str, None, None]: ... def rollback(self) -> None: ... def set_authorizer( self, authorizer_callback: Callable[[int, str | None, str | None, str | None, str | None], int] | None ) -> None: ... def set_progress_handler(self, progress_handler: Callable[[], int | None] | None, n: int) -> None: ... def set_trace_callback(self, trace_callback: Callable[[str], object] | None) -> None: ... # enable_load_extension and load_extension is not available on python distributions compiled # without sqlite3 loadable extension support. see footnotes https://docs.python.org/3/library/sqlite3.html#f1 def enable_load_extension(self, enable: bool, /) -> None: ... if sys.version_info >= (3, 12): def load_extension(self, name: str, /, *, entrypoint: str | None = None) -> None: ... else: def load_extension(self, name: str, /) -> None: ... def backup( self, target: Connection, *, pages: int = -1, progress: Callable[[int, int, int], object] | None = None, name: str = "main", sleep: float = 0.25, ) -> None: ... if sys.version_info >= (3, 11): def setlimit(self, category: int, limit: int, /) -> int: ... def getlimit(self, category: int, /) -> int: ... def serialize(self, *, name: str = "main") -> bytes: ... def deserialize(self, data: ReadableBuffer, /, *, name: str = "main") -> None: ... if sys.version_info >= (3, 12): def getconfig(self, op: int, /) -> bool: ... def setconfig(self, op: int, enable: bool = True, /) -> bool: ... def __call__(self, sql: str, /) -> _Statement: ... def __enter__(self) -> Self: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None, / ) -> Literal[False]: ... @disjoint_base class Cursor(Iterator[Any]): arraysize: int @property def connection(self) -> Connection: ... # May be None, but using `| MaybeNone` (`| Any`) instead to avoid slightly annoying false positives. @property def description(self) -> tuple[tuple[str, None, None, None, None, None, None], ...] | MaybeNone: ... @property def lastrowid(self) -> int | None: ... row_factory: Callable[[Cursor, Row], object] | None @property def rowcount(self) -> int: ... def __init__(self, cursor: Connection, /) -> None: ... def close(self) -> None: ... def execute(self, sql: str, parameters: _Parameters = (), /) -> Self: ... def executemany(self, sql: str, seq_of_parameters: Iterable[_Parameters], /) -> Self: ... def executescript(self, sql_script: str, /) -> Cursor: ... def fetchall(self) -> list[Any]: ... def fetchmany(self, size: int | None = 1) -> list[Any]: ... # Returns either a row (as created by the row_factory) or None, but # putting None in the return annotation causes annoying false positives. def fetchone(self) -> Any: ... def setinputsizes(self, sizes: Unused, /) -> None: ... # does nothing def setoutputsize(self, size: Unused, column: Unused = None, /) -> None: ... # does nothing def __iter__(self) -> Self: ... def __next__(self) -> Any: ... @final class PrepareProtocol: def __init__(self, *args: object, **kwargs: object) -> None: ... @disjoint_base class Row(Sequence[Any]): def __new__(cls, cursor: Cursor, data: tuple[Any, ...], /) -> Self: ... def keys(self) -> list[str]: ... @overload def __getitem__(self, key: int | str, /) -> Any: ... @overload def __getitem__(self, key: slice, /) -> tuple[Any, ...]: ... def __hash__(self) -> int: ... def __iter__(self) -> Iterator[Any]: ... def __len__(self) -> int: ... # These return NotImplemented for anything that is not a Row. def __eq__(self, value: object, /) -> bool: ... def __ge__(self, value: object, /) -> bool: ... def __gt__(self, value: object, /) -> bool: ... def __le__(self, value: object, /) -> bool: ... def __lt__(self, value: object, /) -> bool: ... def __ne__(self, value: object, /) -> bool: ... # This class is not exposed. It calls itself sqlite3.Statement. @final @type_check_only class _Statement: ... if sys.version_info >= (3, 11): @final class Blob: def close(self) -> None: ... def read(self, length: int = -1, /) -> bytes: ... def write(self, data: ReadableBuffer, /) -> None: ... def tell(self) -> int: ... # whence must be one of os.SEEK_SET, os.SEEK_CUR, os.SEEK_END def seek(self, offset: int, origin: int = 0, /) -> None: ... def __len__(self) -> int: ... def __enter__(self) -> Self: ... def __exit__(self, type: object, val: object, tb: object, /) -> Literal[False]: ... def __getitem__(self, key: SupportsIndex | slice, /) -> int: ... def __setitem__(self, key: SupportsIndex | slice, value: int, /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sqlite3/dbapi2.pyi0000644000175100017510000002625615112307767021646 0ustar00runnerrunnerimport sys from _sqlite3 import ( PARSE_COLNAMES as PARSE_COLNAMES, PARSE_DECLTYPES as PARSE_DECLTYPES, SQLITE_ALTER_TABLE as SQLITE_ALTER_TABLE, SQLITE_ANALYZE as SQLITE_ANALYZE, SQLITE_ATTACH as SQLITE_ATTACH, SQLITE_CREATE_INDEX as SQLITE_CREATE_INDEX, SQLITE_CREATE_TABLE as SQLITE_CREATE_TABLE, SQLITE_CREATE_TEMP_INDEX as SQLITE_CREATE_TEMP_INDEX, SQLITE_CREATE_TEMP_TABLE as SQLITE_CREATE_TEMP_TABLE, SQLITE_CREATE_TEMP_TRIGGER as SQLITE_CREATE_TEMP_TRIGGER, SQLITE_CREATE_TEMP_VIEW as SQLITE_CREATE_TEMP_VIEW, SQLITE_CREATE_TRIGGER as SQLITE_CREATE_TRIGGER, SQLITE_CREATE_VIEW as SQLITE_CREATE_VIEW, SQLITE_CREATE_VTABLE as SQLITE_CREATE_VTABLE, SQLITE_DELETE as SQLITE_DELETE, SQLITE_DENY as SQLITE_DENY, SQLITE_DETACH as SQLITE_DETACH, SQLITE_DONE as SQLITE_DONE, SQLITE_DROP_INDEX as SQLITE_DROP_INDEX, SQLITE_DROP_TABLE as SQLITE_DROP_TABLE, SQLITE_DROP_TEMP_INDEX as SQLITE_DROP_TEMP_INDEX, SQLITE_DROP_TEMP_TABLE as SQLITE_DROP_TEMP_TABLE, SQLITE_DROP_TEMP_TRIGGER as SQLITE_DROP_TEMP_TRIGGER, SQLITE_DROP_TEMP_VIEW as SQLITE_DROP_TEMP_VIEW, SQLITE_DROP_TRIGGER as SQLITE_DROP_TRIGGER, SQLITE_DROP_VIEW as SQLITE_DROP_VIEW, SQLITE_DROP_VTABLE as SQLITE_DROP_VTABLE, SQLITE_FUNCTION as SQLITE_FUNCTION, SQLITE_IGNORE as SQLITE_IGNORE, SQLITE_INSERT as SQLITE_INSERT, SQLITE_OK as SQLITE_OK, SQLITE_PRAGMA as SQLITE_PRAGMA, SQLITE_READ as SQLITE_READ, SQLITE_RECURSIVE as SQLITE_RECURSIVE, SQLITE_REINDEX as SQLITE_REINDEX, SQLITE_SAVEPOINT as SQLITE_SAVEPOINT, SQLITE_SELECT as SQLITE_SELECT, SQLITE_TRANSACTION as SQLITE_TRANSACTION, SQLITE_UPDATE as SQLITE_UPDATE, adapt as adapt, adapters as adapters, complete_statement as complete_statement, connect as connect, converters as converters, enable_callback_tracebacks as enable_callback_tracebacks, register_adapter as register_adapter, register_converter as register_converter, sqlite_version as sqlite_version, ) from datetime import date, datetime, time from sqlite3 import ( Connection as Connection, Cursor as Cursor, DatabaseError as DatabaseError, DataError as DataError, Error as Error, IntegrityError as IntegrityError, InterfaceError as InterfaceError, InternalError as InternalError, NotSupportedError as NotSupportedError, OperationalError as OperationalError, PrepareProtocol as PrepareProtocol, ProgrammingError as ProgrammingError, Row as Row, Warning as Warning, ) from typing import Final, Literal from typing_extensions import deprecated if sys.version_info >= (3, 12): from _sqlite3 import ( LEGACY_TRANSACTION_CONTROL as LEGACY_TRANSACTION_CONTROL, SQLITE_DBCONFIG_DEFENSIVE as SQLITE_DBCONFIG_DEFENSIVE, SQLITE_DBCONFIG_DQS_DDL as SQLITE_DBCONFIG_DQS_DDL, SQLITE_DBCONFIG_DQS_DML as SQLITE_DBCONFIG_DQS_DML, SQLITE_DBCONFIG_ENABLE_FKEY as SQLITE_DBCONFIG_ENABLE_FKEY, SQLITE_DBCONFIG_ENABLE_FTS3_TOKENIZER as SQLITE_DBCONFIG_ENABLE_FTS3_TOKENIZER, SQLITE_DBCONFIG_ENABLE_LOAD_EXTENSION as SQLITE_DBCONFIG_ENABLE_LOAD_EXTENSION, SQLITE_DBCONFIG_ENABLE_QPSG as SQLITE_DBCONFIG_ENABLE_QPSG, SQLITE_DBCONFIG_ENABLE_TRIGGER as SQLITE_DBCONFIG_ENABLE_TRIGGER, SQLITE_DBCONFIG_ENABLE_VIEW as SQLITE_DBCONFIG_ENABLE_VIEW, SQLITE_DBCONFIG_LEGACY_ALTER_TABLE as SQLITE_DBCONFIG_LEGACY_ALTER_TABLE, SQLITE_DBCONFIG_LEGACY_FILE_FORMAT as SQLITE_DBCONFIG_LEGACY_FILE_FORMAT, SQLITE_DBCONFIG_NO_CKPT_ON_CLOSE as SQLITE_DBCONFIG_NO_CKPT_ON_CLOSE, SQLITE_DBCONFIG_RESET_DATABASE as SQLITE_DBCONFIG_RESET_DATABASE, SQLITE_DBCONFIG_TRIGGER_EQP as SQLITE_DBCONFIG_TRIGGER_EQP, SQLITE_DBCONFIG_TRUSTED_SCHEMA as SQLITE_DBCONFIG_TRUSTED_SCHEMA, SQLITE_DBCONFIG_WRITABLE_SCHEMA as SQLITE_DBCONFIG_WRITABLE_SCHEMA, ) if sys.version_info >= (3, 11): from _sqlite3 import ( SQLITE_ABORT as SQLITE_ABORT, SQLITE_ABORT_ROLLBACK as SQLITE_ABORT_ROLLBACK, SQLITE_AUTH as SQLITE_AUTH, SQLITE_AUTH_USER as SQLITE_AUTH_USER, SQLITE_BUSY as SQLITE_BUSY, SQLITE_BUSY_RECOVERY as SQLITE_BUSY_RECOVERY, SQLITE_BUSY_SNAPSHOT as SQLITE_BUSY_SNAPSHOT, SQLITE_BUSY_TIMEOUT as SQLITE_BUSY_TIMEOUT, SQLITE_CANTOPEN as SQLITE_CANTOPEN, SQLITE_CANTOPEN_CONVPATH as SQLITE_CANTOPEN_CONVPATH, SQLITE_CANTOPEN_DIRTYWAL as SQLITE_CANTOPEN_DIRTYWAL, SQLITE_CANTOPEN_FULLPATH as SQLITE_CANTOPEN_FULLPATH, SQLITE_CANTOPEN_ISDIR as SQLITE_CANTOPEN_ISDIR, SQLITE_CANTOPEN_NOTEMPDIR as SQLITE_CANTOPEN_NOTEMPDIR, SQLITE_CANTOPEN_SYMLINK as SQLITE_CANTOPEN_SYMLINK, SQLITE_CONSTRAINT as SQLITE_CONSTRAINT, SQLITE_CONSTRAINT_CHECK as SQLITE_CONSTRAINT_CHECK, SQLITE_CONSTRAINT_COMMITHOOK as SQLITE_CONSTRAINT_COMMITHOOK, SQLITE_CONSTRAINT_FOREIGNKEY as SQLITE_CONSTRAINT_FOREIGNKEY, SQLITE_CONSTRAINT_FUNCTION as SQLITE_CONSTRAINT_FUNCTION, SQLITE_CONSTRAINT_NOTNULL as SQLITE_CONSTRAINT_NOTNULL, SQLITE_CONSTRAINT_PINNED as SQLITE_CONSTRAINT_PINNED, SQLITE_CONSTRAINT_PRIMARYKEY as SQLITE_CONSTRAINT_PRIMARYKEY, SQLITE_CONSTRAINT_ROWID as SQLITE_CONSTRAINT_ROWID, SQLITE_CONSTRAINT_TRIGGER as SQLITE_CONSTRAINT_TRIGGER, SQLITE_CONSTRAINT_UNIQUE as SQLITE_CONSTRAINT_UNIQUE, SQLITE_CONSTRAINT_VTAB as SQLITE_CONSTRAINT_VTAB, SQLITE_CORRUPT as SQLITE_CORRUPT, SQLITE_CORRUPT_INDEX as SQLITE_CORRUPT_INDEX, SQLITE_CORRUPT_SEQUENCE as SQLITE_CORRUPT_SEQUENCE, SQLITE_CORRUPT_VTAB as SQLITE_CORRUPT_VTAB, SQLITE_EMPTY as SQLITE_EMPTY, SQLITE_ERROR as SQLITE_ERROR, SQLITE_ERROR_MISSING_COLLSEQ as SQLITE_ERROR_MISSING_COLLSEQ, SQLITE_ERROR_RETRY as SQLITE_ERROR_RETRY, SQLITE_ERROR_SNAPSHOT as SQLITE_ERROR_SNAPSHOT, SQLITE_FORMAT as SQLITE_FORMAT, SQLITE_FULL as SQLITE_FULL, SQLITE_INTERNAL as SQLITE_INTERNAL, SQLITE_INTERRUPT as SQLITE_INTERRUPT, SQLITE_IOERR as SQLITE_IOERR, SQLITE_IOERR_ACCESS as SQLITE_IOERR_ACCESS, SQLITE_IOERR_AUTH as SQLITE_IOERR_AUTH, SQLITE_IOERR_BEGIN_ATOMIC as SQLITE_IOERR_BEGIN_ATOMIC, SQLITE_IOERR_BLOCKED as SQLITE_IOERR_BLOCKED, SQLITE_IOERR_CHECKRESERVEDLOCK as SQLITE_IOERR_CHECKRESERVEDLOCK, SQLITE_IOERR_CLOSE as SQLITE_IOERR_CLOSE, SQLITE_IOERR_COMMIT_ATOMIC as SQLITE_IOERR_COMMIT_ATOMIC, SQLITE_IOERR_CONVPATH as SQLITE_IOERR_CONVPATH, SQLITE_IOERR_CORRUPTFS as SQLITE_IOERR_CORRUPTFS, SQLITE_IOERR_DATA as SQLITE_IOERR_DATA, SQLITE_IOERR_DELETE as SQLITE_IOERR_DELETE, SQLITE_IOERR_DELETE_NOENT as SQLITE_IOERR_DELETE_NOENT, SQLITE_IOERR_DIR_CLOSE as SQLITE_IOERR_DIR_CLOSE, SQLITE_IOERR_DIR_FSYNC as SQLITE_IOERR_DIR_FSYNC, SQLITE_IOERR_FSTAT as SQLITE_IOERR_FSTAT, SQLITE_IOERR_FSYNC as SQLITE_IOERR_FSYNC, SQLITE_IOERR_GETTEMPPATH as SQLITE_IOERR_GETTEMPPATH, SQLITE_IOERR_LOCK as SQLITE_IOERR_LOCK, SQLITE_IOERR_MMAP as SQLITE_IOERR_MMAP, SQLITE_IOERR_NOMEM as SQLITE_IOERR_NOMEM, SQLITE_IOERR_RDLOCK as SQLITE_IOERR_RDLOCK, SQLITE_IOERR_READ as SQLITE_IOERR_READ, SQLITE_IOERR_ROLLBACK_ATOMIC as SQLITE_IOERR_ROLLBACK_ATOMIC, SQLITE_IOERR_SEEK as SQLITE_IOERR_SEEK, SQLITE_IOERR_SHMLOCK as SQLITE_IOERR_SHMLOCK, SQLITE_IOERR_SHMMAP as SQLITE_IOERR_SHMMAP, SQLITE_IOERR_SHMOPEN as SQLITE_IOERR_SHMOPEN, SQLITE_IOERR_SHMSIZE as SQLITE_IOERR_SHMSIZE, SQLITE_IOERR_SHORT_READ as SQLITE_IOERR_SHORT_READ, SQLITE_IOERR_TRUNCATE as SQLITE_IOERR_TRUNCATE, SQLITE_IOERR_UNLOCK as SQLITE_IOERR_UNLOCK, SQLITE_IOERR_VNODE as SQLITE_IOERR_VNODE, SQLITE_IOERR_WRITE as SQLITE_IOERR_WRITE, SQLITE_LIMIT_ATTACHED as SQLITE_LIMIT_ATTACHED, SQLITE_LIMIT_COLUMN as SQLITE_LIMIT_COLUMN, SQLITE_LIMIT_COMPOUND_SELECT as SQLITE_LIMIT_COMPOUND_SELECT, SQLITE_LIMIT_EXPR_DEPTH as SQLITE_LIMIT_EXPR_DEPTH, SQLITE_LIMIT_FUNCTION_ARG as SQLITE_LIMIT_FUNCTION_ARG, SQLITE_LIMIT_LENGTH as SQLITE_LIMIT_LENGTH, SQLITE_LIMIT_LIKE_PATTERN_LENGTH as SQLITE_LIMIT_LIKE_PATTERN_LENGTH, SQLITE_LIMIT_SQL_LENGTH as SQLITE_LIMIT_SQL_LENGTH, SQLITE_LIMIT_TRIGGER_DEPTH as SQLITE_LIMIT_TRIGGER_DEPTH, SQLITE_LIMIT_VARIABLE_NUMBER as SQLITE_LIMIT_VARIABLE_NUMBER, SQLITE_LIMIT_VDBE_OP as SQLITE_LIMIT_VDBE_OP, SQLITE_LIMIT_WORKER_THREADS as SQLITE_LIMIT_WORKER_THREADS, SQLITE_LOCKED as SQLITE_LOCKED, SQLITE_LOCKED_SHAREDCACHE as SQLITE_LOCKED_SHAREDCACHE, SQLITE_LOCKED_VTAB as SQLITE_LOCKED_VTAB, SQLITE_MISMATCH as SQLITE_MISMATCH, SQLITE_MISUSE as SQLITE_MISUSE, SQLITE_NOLFS as SQLITE_NOLFS, SQLITE_NOMEM as SQLITE_NOMEM, SQLITE_NOTADB as SQLITE_NOTADB, SQLITE_NOTFOUND as SQLITE_NOTFOUND, SQLITE_NOTICE as SQLITE_NOTICE, SQLITE_NOTICE_RECOVER_ROLLBACK as SQLITE_NOTICE_RECOVER_ROLLBACK, SQLITE_NOTICE_RECOVER_WAL as SQLITE_NOTICE_RECOVER_WAL, SQLITE_OK_LOAD_PERMANENTLY as SQLITE_OK_LOAD_PERMANENTLY, SQLITE_OK_SYMLINK as SQLITE_OK_SYMLINK, SQLITE_PERM as SQLITE_PERM, SQLITE_PROTOCOL as SQLITE_PROTOCOL, SQLITE_RANGE as SQLITE_RANGE, SQLITE_READONLY as SQLITE_READONLY, SQLITE_READONLY_CANTINIT as SQLITE_READONLY_CANTINIT, SQLITE_READONLY_CANTLOCK as SQLITE_READONLY_CANTLOCK, SQLITE_READONLY_DBMOVED as SQLITE_READONLY_DBMOVED, SQLITE_READONLY_DIRECTORY as SQLITE_READONLY_DIRECTORY, SQLITE_READONLY_RECOVERY as SQLITE_READONLY_RECOVERY, SQLITE_READONLY_ROLLBACK as SQLITE_READONLY_ROLLBACK, SQLITE_ROW as SQLITE_ROW, SQLITE_SCHEMA as SQLITE_SCHEMA, SQLITE_TOOBIG as SQLITE_TOOBIG, SQLITE_WARNING as SQLITE_WARNING, SQLITE_WARNING_AUTOINDEX as SQLITE_WARNING_AUTOINDEX, ) from sqlite3 import Blob as Blob if sys.version_info < (3, 14): # Deprecated and removed from _sqlite3 in 3.12, but removed from here in 3.14. version: Final[str] if sys.version_info < (3, 12): if sys.version_info >= (3, 10): # deprecation wrapper that has a different name for the argument... @deprecated( "Deprecated since Python 3.10; removed in Python 3.12. " "Open database in URI mode using `cache=shared` parameter instead." ) def enable_shared_cache(enable: int) -> None: ... else: from _sqlite3 import enable_shared_cache as enable_shared_cache if sys.version_info < (3, 10): from _sqlite3 import OptimizedUnicode as OptimizedUnicode paramstyle: Final = "qmark" threadsafety: Literal[0, 1, 3] apilevel: Final[str] Date = date Time = time Timestamp = datetime def DateFromTicks(ticks: float) -> Date: ... def TimeFromTicks(ticks: float) -> Time: ... def TimestampFromTicks(ticks: float) -> Timestamp: ... if sys.version_info < (3, 14): # Deprecated in 3.12, removed in 3.14. version_info: Final[tuple[int, int, int]] sqlite_version_info: Final[tuple[int, int, int]] Binary = memoryview ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sqlite3/dump.pyi0000644000175100017510000000013215112307767021433 0ustar00runnerrunner# This file is intentionally empty. The runtime module contains only # private functions. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sre_compile.pyi0000644000175100017510000000053215112307767021407 0ustar00runnerrunnerfrom re import Pattern from sre_constants import * from sre_constants import _NamedIntConstant from sre_parse import SubPattern from typing import Any, Final MAXCODE: Final[int] def dis(code: list[_NamedIntConstant]) -> None: ... def isstring(obj: Any) -> bool: ... def compile(p: str | bytes | SubPattern, flags: int = 0) -> Pattern[Any]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sre_constants.pyi0000644000175100017510000001125515112307767021777 0ustar00runnerrunnerimport sys from re import error as error from typing import Final from typing_extensions import Self, disjoint_base MAXGROUPS: Final[int] MAGIC: Final[int] if sys.version_info >= (3, 12): class _NamedIntConstant(int): name: str def __new__(cls, value: int, name: str) -> Self: ... else: @disjoint_base class _NamedIntConstant(int): name: str def __new__(cls, value: int, name: str) -> Self: ... MAXREPEAT: Final[_NamedIntConstant] OPCODES: list[_NamedIntConstant] ATCODES: list[_NamedIntConstant] CHCODES: list[_NamedIntConstant] OP_IGNORE: dict[_NamedIntConstant, _NamedIntConstant] OP_LOCALE_IGNORE: dict[_NamedIntConstant, _NamedIntConstant] OP_UNICODE_IGNORE: dict[_NamedIntConstant, _NamedIntConstant] AT_MULTILINE: dict[_NamedIntConstant, _NamedIntConstant] AT_LOCALE: dict[_NamedIntConstant, _NamedIntConstant] AT_UNICODE: dict[_NamedIntConstant, _NamedIntConstant] CH_LOCALE: dict[_NamedIntConstant, _NamedIntConstant] CH_UNICODE: dict[_NamedIntConstant, _NamedIntConstant] if sys.version_info >= (3, 14): CH_NEGATE: dict[_NamedIntConstant, _NamedIntConstant] # flags if sys.version_info < (3, 13): SRE_FLAG_TEMPLATE: Final = 1 SRE_FLAG_IGNORECASE: Final = 2 SRE_FLAG_LOCALE: Final = 4 SRE_FLAG_MULTILINE: Final = 8 SRE_FLAG_DOTALL: Final = 16 SRE_FLAG_UNICODE: Final = 32 SRE_FLAG_VERBOSE: Final = 64 SRE_FLAG_DEBUG: Final = 128 SRE_FLAG_ASCII: Final = 256 # flags for INFO primitive SRE_INFO_PREFIX: Final = 1 SRE_INFO_LITERAL: Final = 2 SRE_INFO_CHARSET: Final = 4 # Stubgen above; manually defined constants below (dynamic at runtime) # from OPCODES FAILURE: Final[_NamedIntConstant] SUCCESS: Final[_NamedIntConstant] ANY: Final[_NamedIntConstant] ANY_ALL: Final[_NamedIntConstant] ASSERT: Final[_NamedIntConstant] ASSERT_NOT: Final[_NamedIntConstant] AT: Final[_NamedIntConstant] BRANCH: Final[_NamedIntConstant] if sys.version_info < (3, 11): CALL: Final[_NamedIntConstant] CATEGORY: Final[_NamedIntConstant] CHARSET: Final[_NamedIntConstant] BIGCHARSET: Final[_NamedIntConstant] GROUPREF: Final[_NamedIntConstant] GROUPREF_EXISTS: Final[_NamedIntConstant] GROUPREF_IGNORE: Final[_NamedIntConstant] IN: Final[_NamedIntConstant] IN_IGNORE: Final[_NamedIntConstant] INFO: Final[_NamedIntConstant] JUMP: Final[_NamedIntConstant] LITERAL: Final[_NamedIntConstant] LITERAL_IGNORE: Final[_NamedIntConstant] MARK: Final[_NamedIntConstant] MAX_UNTIL: Final[_NamedIntConstant] MIN_UNTIL: Final[_NamedIntConstant] NOT_LITERAL: Final[_NamedIntConstant] NOT_LITERAL_IGNORE: Final[_NamedIntConstant] NEGATE: Final[_NamedIntConstant] RANGE: Final[_NamedIntConstant] REPEAT: Final[_NamedIntConstant] REPEAT_ONE: Final[_NamedIntConstant] SUBPATTERN: Final[_NamedIntConstant] MIN_REPEAT_ONE: Final[_NamedIntConstant] if sys.version_info >= (3, 11): ATOMIC_GROUP: Final[_NamedIntConstant] POSSESSIVE_REPEAT: Final[_NamedIntConstant] POSSESSIVE_REPEAT_ONE: Final[_NamedIntConstant] RANGE_UNI_IGNORE: Final[_NamedIntConstant] GROUPREF_LOC_IGNORE: Final[_NamedIntConstant] GROUPREF_UNI_IGNORE: Final[_NamedIntConstant] IN_LOC_IGNORE: Final[_NamedIntConstant] IN_UNI_IGNORE: Final[_NamedIntConstant] LITERAL_LOC_IGNORE: Final[_NamedIntConstant] LITERAL_UNI_IGNORE: Final[_NamedIntConstant] NOT_LITERAL_LOC_IGNORE: Final[_NamedIntConstant] NOT_LITERAL_UNI_IGNORE: Final[_NamedIntConstant] MIN_REPEAT: Final[_NamedIntConstant] MAX_REPEAT: Final[_NamedIntConstant] # from ATCODES AT_BEGINNING: Final[_NamedIntConstant] AT_BEGINNING_LINE: Final[_NamedIntConstant] AT_BEGINNING_STRING: Final[_NamedIntConstant] AT_BOUNDARY: Final[_NamedIntConstant] AT_NON_BOUNDARY: Final[_NamedIntConstant] AT_END: Final[_NamedIntConstant] AT_END_LINE: Final[_NamedIntConstant] AT_END_STRING: Final[_NamedIntConstant] AT_LOC_BOUNDARY: Final[_NamedIntConstant] AT_LOC_NON_BOUNDARY: Final[_NamedIntConstant] AT_UNI_BOUNDARY: Final[_NamedIntConstant] AT_UNI_NON_BOUNDARY: Final[_NamedIntConstant] # from CHCODES CATEGORY_DIGIT: Final[_NamedIntConstant] CATEGORY_NOT_DIGIT: Final[_NamedIntConstant] CATEGORY_SPACE: Final[_NamedIntConstant] CATEGORY_NOT_SPACE: Final[_NamedIntConstant] CATEGORY_WORD: Final[_NamedIntConstant] CATEGORY_NOT_WORD: Final[_NamedIntConstant] CATEGORY_LINEBREAK: Final[_NamedIntConstant] CATEGORY_NOT_LINEBREAK: Final[_NamedIntConstant] CATEGORY_LOC_WORD: Final[_NamedIntConstant] CATEGORY_LOC_NOT_WORD: Final[_NamedIntConstant] CATEGORY_UNI_DIGIT: Final[_NamedIntConstant] CATEGORY_UNI_NOT_DIGIT: Final[_NamedIntConstant] CATEGORY_UNI_SPACE: Final[_NamedIntConstant] CATEGORY_UNI_NOT_SPACE: Final[_NamedIntConstant] CATEGORY_UNI_WORD: Final[_NamedIntConstant] CATEGORY_UNI_NOT_WORD: Final[_NamedIntConstant] CATEGORY_UNI_LINEBREAK: Final[_NamedIntConstant] CATEGORY_UNI_NOT_LINEBREAK: Final[_NamedIntConstant] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sre_parse.pyi0000644000175100017510000000750215112307767021075 0ustar00runnerrunnerimport sys from collections.abc import Iterable from re import Match, Pattern as _Pattern from sre_constants import * from sre_constants import _NamedIntConstant as _NIC, error as _Error from typing import Any, Final, overload from typing_extensions import TypeAlias SPECIAL_CHARS: Final = ".\\[{()*+?^$|" REPEAT_CHARS: Final = "*+?{" DIGITS: Final[frozenset[str]] OCTDIGITS: Final[frozenset[str]] HEXDIGITS: Final[frozenset[str]] ASCIILETTERS: Final[frozenset[str]] WHITESPACE: Final[frozenset[str]] ESCAPES: Final[dict[str, tuple[_NIC, int]]] CATEGORIES: Final[dict[str, tuple[_NIC, _NIC] | tuple[_NIC, list[tuple[_NIC, _NIC]]]]] FLAGS: Final[dict[str, int]] TYPE_FLAGS: Final[int] GLOBAL_FLAGS: Final[int] if sys.version_info >= (3, 11): MAXWIDTH: Final[int] if sys.version_info < (3, 11): class Verbose(Exception): ... _OpSubpatternType: TypeAlias = tuple[int | None, int, int, SubPattern] _OpGroupRefExistsType: TypeAlias = tuple[int, SubPattern, SubPattern] _OpInType: TypeAlias = list[tuple[_NIC, int]] _OpBranchType: TypeAlias = tuple[None, list[SubPattern]] _AvType: TypeAlias = _OpInType | _OpBranchType | Iterable[SubPattern] | _OpGroupRefExistsType | _OpSubpatternType _CodeType: TypeAlias = tuple[_NIC, _AvType] class State: flags: int groupdict: dict[str, int] groupwidths: list[int | None] lookbehindgroups: int | None @property def groups(self) -> int: ... def opengroup(self, name: str | None = None) -> int: ... def closegroup(self, gid: int, p: SubPattern) -> None: ... def checkgroup(self, gid: int) -> bool: ... def checklookbehindgroup(self, gid: int, source: Tokenizer) -> None: ... class SubPattern: data: list[_CodeType] width: int | None state: State def __init__(self, state: State, data: list[_CodeType] | None = None) -> None: ... def dump(self, level: int = 0) -> None: ... def __len__(self) -> int: ... def __delitem__(self, index: int | slice) -> None: ... def __getitem__(self, index: int | slice) -> SubPattern | _CodeType: ... def __setitem__(self, index: int | slice, code: _CodeType) -> None: ... def insert(self, index: int, code: _CodeType) -> None: ... def append(self, code: _CodeType) -> None: ... def getwidth(self) -> tuple[int, int]: ... class Tokenizer: istext: bool string: Any decoded_string: str index: int next: str | None def __init__(self, string: Any) -> None: ... def match(self, char: str) -> bool: ... def get(self) -> str | None: ... def getwhile(self, n: int, charset: Iterable[str]) -> str: ... def getuntil(self, terminator: str, name: str) -> str: ... @property def pos(self) -> int: ... def tell(self) -> int: ... def seek(self, index: int) -> None: ... def error(self, msg: str, offset: int = 0) -> _Error: ... if sys.version_info >= (3, 12): def checkgroupname(self, name: str, offset: int) -> None: ... elif sys.version_info >= (3, 11): def checkgroupname(self, name: str, offset: int, nested: int) -> None: ... def fix_flags(src: str | bytes, flags: int) -> int: ... _TemplateType: TypeAlias = tuple[list[tuple[int, int]], list[str | None]] _TemplateByteType: TypeAlias = tuple[list[tuple[int, int]], list[bytes | None]] if sys.version_info >= (3, 12): @overload def parse_template(source: str, pattern: _Pattern[Any]) -> _TemplateType: ... @overload def parse_template(source: bytes, pattern: _Pattern[Any]) -> _TemplateByteType: ... else: @overload def parse_template(source: str, state: _Pattern[Any]) -> _TemplateType: ... @overload def parse_template(source: bytes, state: _Pattern[Any]) -> _TemplateByteType: ... def parse(str: str, flags: int = 0, state: State | None = None) -> SubPattern: ... if sys.version_info < (3, 12): def expand_template(template: _TemplateType, match: Match[Any]) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/ssl.pyi0000644000175100017510000005411515112307767017715 0ustar00runnerrunnerimport enum import socket import sys from _ssl import ( _DEFAULT_CIPHERS as _DEFAULT_CIPHERS, _OPENSSL_API_VERSION as _OPENSSL_API_VERSION, HAS_ALPN as HAS_ALPN, HAS_ECDH as HAS_ECDH, HAS_NPN as HAS_NPN, HAS_SNI as HAS_SNI, OPENSSL_VERSION as OPENSSL_VERSION, OPENSSL_VERSION_INFO as OPENSSL_VERSION_INFO, OPENSSL_VERSION_NUMBER as OPENSSL_VERSION_NUMBER, HAS_SSLv2 as HAS_SSLv2, HAS_SSLv3 as HAS_SSLv3, HAS_TLSv1 as HAS_TLSv1, HAS_TLSv1_1 as HAS_TLSv1_1, HAS_TLSv1_2 as HAS_TLSv1_2, HAS_TLSv1_3 as HAS_TLSv1_3, MemoryBIO as MemoryBIO, RAND_add as RAND_add, RAND_bytes as RAND_bytes, RAND_status as RAND_status, SSLSession as SSLSession, _PasswordType as _PasswordType, # typeshed only, but re-export for other type stubs to use _SSLContext, ) from _typeshed import ReadableBuffer, StrOrBytesPath, WriteableBuffer from collections.abc import Callable, Iterable from typing import Any, Final, Literal, NamedTuple, TypedDict, overload, type_check_only from typing_extensions import Never, Self, TypeAlias, deprecated if sys.version_info >= (3, 13): from _ssl import HAS_PSK as HAS_PSK if sys.version_info >= (3, 14): from _ssl import HAS_PHA as HAS_PHA if sys.version_info < (3, 12): from _ssl import RAND_pseudo_bytes as RAND_pseudo_bytes if sys.version_info < (3, 10): from _ssl import RAND_egd as RAND_egd if sys.platform == "win32": from _ssl import enum_certificates as enum_certificates, enum_crls as enum_crls _PCTRTT: TypeAlias = tuple[tuple[str, str], ...] _PCTRTTT: TypeAlias = tuple[_PCTRTT, ...] _PeerCertRetDictType: TypeAlias = dict[str, str | _PCTRTTT | _PCTRTT] _PeerCertRetType: TypeAlias = _PeerCertRetDictType | bytes | None _SrvnmeCbType: TypeAlias = Callable[[SSLSocket | SSLObject, str | None, SSLSocket], int | None] socket_error = OSError @type_check_only class _Cipher(TypedDict): aead: bool alg_bits: int auth: str description: str digest: str | None id: int kea: str name: str protocol: str strength_bits: int symmetric: str class SSLError(OSError): library: str reason: str class SSLZeroReturnError(SSLError): ... class SSLWantReadError(SSLError): ... class SSLWantWriteError(SSLError): ... class SSLSyscallError(SSLError): ... class SSLEOFError(SSLError): ... class SSLCertVerificationError(SSLError, ValueError): verify_code: int verify_message: str CertificateError = SSLCertVerificationError if sys.version_info < (3, 12): @deprecated("Deprecated since Python 3.7; removed in Python 3.12. Use `SSLContext.wrap_socket()` instead.") def wrap_socket( sock: socket.socket, keyfile: StrOrBytesPath | None = None, certfile: StrOrBytesPath | None = None, server_side: bool = False, cert_reqs: int = ..., ssl_version: int = ..., ca_certs: str | None = None, do_handshake_on_connect: bool = True, suppress_ragged_eofs: bool = True, ciphers: str | None = None, ) -> SSLSocket: ... @deprecated("Deprecated since Python 3.7; removed in Python 3.12.") def match_hostname(cert: _PeerCertRetDictType, hostname: str) -> None: ... def cert_time_to_seconds(cert_time: str) -> int: ... if sys.version_info >= (3, 10): def get_server_certificate( addr: tuple[str, int], ssl_version: int = ..., ca_certs: str | None = None, timeout: float = ... ) -> str: ... else: def get_server_certificate(addr: tuple[str, int], ssl_version: int = ..., ca_certs: str | None = None) -> str: ... def DER_cert_to_PEM_cert(der_cert_bytes: ReadableBuffer) -> str: ... def PEM_cert_to_DER_cert(pem_cert_string: str) -> bytes: ... class DefaultVerifyPaths(NamedTuple): cafile: str capath: str openssl_cafile_env: str openssl_cafile: str openssl_capath_env: str openssl_capath: str def get_default_verify_paths() -> DefaultVerifyPaths: ... class VerifyMode(enum.IntEnum): CERT_NONE = 0 CERT_OPTIONAL = 1 CERT_REQUIRED = 2 CERT_NONE: Final = VerifyMode.CERT_NONE CERT_OPTIONAL: Final = VerifyMode.CERT_OPTIONAL CERT_REQUIRED: Final = VerifyMode.CERT_REQUIRED class VerifyFlags(enum.IntFlag): VERIFY_DEFAULT = 0 VERIFY_CRL_CHECK_LEAF = 4 VERIFY_CRL_CHECK_CHAIN = 12 VERIFY_X509_STRICT = 32 VERIFY_X509_TRUSTED_FIRST = 32768 if sys.version_info >= (3, 10): VERIFY_ALLOW_PROXY_CERTS = 64 VERIFY_X509_PARTIAL_CHAIN = 524288 VERIFY_DEFAULT: Final = VerifyFlags.VERIFY_DEFAULT VERIFY_CRL_CHECK_LEAF: Final = VerifyFlags.VERIFY_CRL_CHECK_LEAF VERIFY_CRL_CHECK_CHAIN: Final = VerifyFlags.VERIFY_CRL_CHECK_CHAIN VERIFY_X509_STRICT: Final = VerifyFlags.VERIFY_X509_STRICT VERIFY_X509_TRUSTED_FIRST: Final = VerifyFlags.VERIFY_X509_TRUSTED_FIRST if sys.version_info >= (3, 10): VERIFY_ALLOW_PROXY_CERTS: Final = VerifyFlags.VERIFY_ALLOW_PROXY_CERTS VERIFY_X509_PARTIAL_CHAIN: Final = VerifyFlags.VERIFY_X509_PARTIAL_CHAIN class _SSLMethod(enum.IntEnum): PROTOCOL_SSLv23 = 2 PROTOCOL_SSLv2 = ... PROTOCOL_SSLv3 = ... PROTOCOL_TLSv1 = 3 PROTOCOL_TLSv1_1 = 4 PROTOCOL_TLSv1_2 = 5 PROTOCOL_TLS = 2 PROTOCOL_TLS_CLIENT = 16 PROTOCOL_TLS_SERVER = 17 PROTOCOL_SSLv23: Final = _SSLMethod.PROTOCOL_SSLv23 PROTOCOL_SSLv2: Final = _SSLMethod.PROTOCOL_SSLv2 PROTOCOL_SSLv3: Final = _SSLMethod.PROTOCOL_SSLv3 PROTOCOL_TLSv1: Final = _SSLMethod.PROTOCOL_TLSv1 PROTOCOL_TLSv1_1: Final = _SSLMethod.PROTOCOL_TLSv1_1 PROTOCOL_TLSv1_2: Final = _SSLMethod.PROTOCOL_TLSv1_2 PROTOCOL_TLS: Final = _SSLMethod.PROTOCOL_TLS PROTOCOL_TLS_CLIENT: Final = _SSLMethod.PROTOCOL_TLS_CLIENT PROTOCOL_TLS_SERVER: Final = _SSLMethod.PROTOCOL_TLS_SERVER class Options(enum.IntFlag): OP_ALL = 2147483728 OP_NO_SSLv2 = 0 OP_NO_SSLv3 = 33554432 OP_NO_TLSv1 = 67108864 OP_NO_TLSv1_1 = 268435456 OP_NO_TLSv1_2 = 134217728 OP_NO_TLSv1_3 = 536870912 OP_CIPHER_SERVER_PREFERENCE = 4194304 OP_SINGLE_DH_USE = 0 OP_SINGLE_ECDH_USE = 0 OP_NO_COMPRESSION = 131072 OP_NO_TICKET = 16384 OP_NO_RENEGOTIATION = 1073741824 OP_ENABLE_MIDDLEBOX_COMPAT = 1048576 if sys.version_info >= (3, 12): OP_LEGACY_SERVER_CONNECT = 4 OP_ENABLE_KTLS = 8 if sys.version_info >= (3, 11) or sys.platform == "linux": OP_IGNORE_UNEXPECTED_EOF = 128 OP_ALL: Final = Options.OP_ALL OP_NO_SSLv2: Final = Options.OP_NO_SSLv2 OP_NO_SSLv3: Final = Options.OP_NO_SSLv3 OP_NO_TLSv1: Final = Options.OP_NO_TLSv1 OP_NO_TLSv1_1: Final = Options.OP_NO_TLSv1_1 OP_NO_TLSv1_2: Final = Options.OP_NO_TLSv1_2 OP_NO_TLSv1_3: Final = Options.OP_NO_TLSv1_3 OP_CIPHER_SERVER_PREFERENCE: Final = Options.OP_CIPHER_SERVER_PREFERENCE OP_SINGLE_DH_USE: Final = Options.OP_SINGLE_DH_USE OP_SINGLE_ECDH_USE: Final = Options.OP_SINGLE_ECDH_USE OP_NO_COMPRESSION: Final = Options.OP_NO_COMPRESSION OP_NO_TICKET: Final = Options.OP_NO_TICKET OP_NO_RENEGOTIATION: Final = Options.OP_NO_RENEGOTIATION OP_ENABLE_MIDDLEBOX_COMPAT: Final = Options.OP_ENABLE_MIDDLEBOX_COMPAT if sys.version_info >= (3, 12): OP_LEGACY_SERVER_CONNECT: Final = Options.OP_LEGACY_SERVER_CONNECT OP_ENABLE_KTLS: Final = Options.OP_ENABLE_KTLS if sys.version_info >= (3, 11) or sys.platform == "linux": OP_IGNORE_UNEXPECTED_EOF: Final = Options.OP_IGNORE_UNEXPECTED_EOF HAS_NEVER_CHECK_COMMON_NAME: Final[bool] CHANNEL_BINDING_TYPES: Final[list[str]] class AlertDescription(enum.IntEnum): ALERT_DESCRIPTION_ACCESS_DENIED = 49 ALERT_DESCRIPTION_BAD_CERTIFICATE = 42 ALERT_DESCRIPTION_BAD_CERTIFICATE_HASH_VALUE = 114 ALERT_DESCRIPTION_BAD_CERTIFICATE_STATUS_RESPONSE = 113 ALERT_DESCRIPTION_BAD_RECORD_MAC = 20 ALERT_DESCRIPTION_CERTIFICATE_EXPIRED = 45 ALERT_DESCRIPTION_CERTIFICATE_REVOKED = 44 ALERT_DESCRIPTION_CERTIFICATE_UNKNOWN = 46 ALERT_DESCRIPTION_CERTIFICATE_UNOBTAINABLE = 111 ALERT_DESCRIPTION_CLOSE_NOTIFY = 0 ALERT_DESCRIPTION_DECODE_ERROR = 50 ALERT_DESCRIPTION_DECOMPRESSION_FAILURE = 30 ALERT_DESCRIPTION_DECRYPT_ERROR = 51 ALERT_DESCRIPTION_HANDSHAKE_FAILURE = 40 ALERT_DESCRIPTION_ILLEGAL_PARAMETER = 47 ALERT_DESCRIPTION_INSUFFICIENT_SECURITY = 71 ALERT_DESCRIPTION_INTERNAL_ERROR = 80 ALERT_DESCRIPTION_NO_RENEGOTIATION = 100 ALERT_DESCRIPTION_PROTOCOL_VERSION = 70 ALERT_DESCRIPTION_RECORD_OVERFLOW = 22 ALERT_DESCRIPTION_UNEXPECTED_MESSAGE = 10 ALERT_DESCRIPTION_UNKNOWN_CA = 48 ALERT_DESCRIPTION_UNKNOWN_PSK_IDENTITY = 115 ALERT_DESCRIPTION_UNRECOGNIZED_NAME = 112 ALERT_DESCRIPTION_UNSUPPORTED_CERTIFICATE = 43 ALERT_DESCRIPTION_UNSUPPORTED_EXTENSION = 110 ALERT_DESCRIPTION_USER_CANCELLED = 90 ALERT_DESCRIPTION_HANDSHAKE_FAILURE: Final = AlertDescription.ALERT_DESCRIPTION_HANDSHAKE_FAILURE ALERT_DESCRIPTION_INTERNAL_ERROR: Final = AlertDescription.ALERT_DESCRIPTION_INTERNAL_ERROR ALERT_DESCRIPTION_ACCESS_DENIED: Final = AlertDescription.ALERT_DESCRIPTION_ACCESS_DENIED ALERT_DESCRIPTION_BAD_CERTIFICATE: Final = AlertDescription.ALERT_DESCRIPTION_BAD_CERTIFICATE ALERT_DESCRIPTION_BAD_CERTIFICATE_HASH_VALUE: Final = AlertDescription.ALERT_DESCRIPTION_BAD_CERTIFICATE_HASH_VALUE ALERT_DESCRIPTION_BAD_CERTIFICATE_STATUS_RESPONSE: Final = AlertDescription.ALERT_DESCRIPTION_BAD_CERTIFICATE_STATUS_RESPONSE ALERT_DESCRIPTION_BAD_RECORD_MAC: Final = AlertDescription.ALERT_DESCRIPTION_BAD_RECORD_MAC ALERT_DESCRIPTION_CERTIFICATE_EXPIRED: Final = AlertDescription.ALERT_DESCRIPTION_CERTIFICATE_EXPIRED ALERT_DESCRIPTION_CERTIFICATE_REVOKED: Final = AlertDescription.ALERT_DESCRIPTION_CERTIFICATE_REVOKED ALERT_DESCRIPTION_CERTIFICATE_UNKNOWN: Final = AlertDescription.ALERT_DESCRIPTION_CERTIFICATE_UNKNOWN ALERT_DESCRIPTION_CERTIFICATE_UNOBTAINABLE: Final = AlertDescription.ALERT_DESCRIPTION_CERTIFICATE_UNOBTAINABLE ALERT_DESCRIPTION_CLOSE_NOTIFY: Final = AlertDescription.ALERT_DESCRIPTION_CLOSE_NOTIFY ALERT_DESCRIPTION_DECODE_ERROR: Final = AlertDescription.ALERT_DESCRIPTION_DECODE_ERROR ALERT_DESCRIPTION_DECOMPRESSION_FAILURE: Final = AlertDescription.ALERT_DESCRIPTION_DECOMPRESSION_FAILURE ALERT_DESCRIPTION_DECRYPT_ERROR: Final = AlertDescription.ALERT_DESCRIPTION_DECRYPT_ERROR ALERT_DESCRIPTION_ILLEGAL_PARAMETER: Final = AlertDescription.ALERT_DESCRIPTION_ILLEGAL_PARAMETER ALERT_DESCRIPTION_INSUFFICIENT_SECURITY: Final = AlertDescription.ALERT_DESCRIPTION_INSUFFICIENT_SECURITY ALERT_DESCRIPTION_NO_RENEGOTIATION: Final = AlertDescription.ALERT_DESCRIPTION_NO_RENEGOTIATION ALERT_DESCRIPTION_PROTOCOL_VERSION: Final = AlertDescription.ALERT_DESCRIPTION_PROTOCOL_VERSION ALERT_DESCRIPTION_RECORD_OVERFLOW: Final = AlertDescription.ALERT_DESCRIPTION_RECORD_OVERFLOW ALERT_DESCRIPTION_UNEXPECTED_MESSAGE: Final = AlertDescription.ALERT_DESCRIPTION_UNEXPECTED_MESSAGE ALERT_DESCRIPTION_UNKNOWN_CA: Final = AlertDescription.ALERT_DESCRIPTION_UNKNOWN_CA ALERT_DESCRIPTION_UNKNOWN_PSK_IDENTITY: Final = AlertDescription.ALERT_DESCRIPTION_UNKNOWN_PSK_IDENTITY ALERT_DESCRIPTION_UNRECOGNIZED_NAME: Final = AlertDescription.ALERT_DESCRIPTION_UNRECOGNIZED_NAME ALERT_DESCRIPTION_UNSUPPORTED_CERTIFICATE: Final = AlertDescription.ALERT_DESCRIPTION_UNSUPPORTED_CERTIFICATE ALERT_DESCRIPTION_UNSUPPORTED_EXTENSION: Final = AlertDescription.ALERT_DESCRIPTION_UNSUPPORTED_EXTENSION ALERT_DESCRIPTION_USER_CANCELLED: Final = AlertDescription.ALERT_DESCRIPTION_USER_CANCELLED # This class is not exposed. It calls itself ssl._ASN1Object. @type_check_only class _ASN1ObjectBase(NamedTuple): nid: int shortname: str longname: str oid: str class _ASN1Object(_ASN1ObjectBase): def __new__(cls, oid: str) -> Self: ... @classmethod def fromnid(cls, nid: int) -> Self: ... @classmethod def fromname(cls, name: str) -> Self: ... class Purpose(_ASN1Object, enum.Enum): # Normally this class would inherit __new__ from _ASN1Object, but # because this is an enum, the inherited __new__ is replaced at runtime with # Enum.__new__. def __new__(cls, value: object) -> Self: ... SERVER_AUTH = (129, "serverAuth", "TLS Web Server Authentication", "1.3.6.1.5.5.7.3.2") # pyright: ignore[reportCallIssue] CLIENT_AUTH = (130, "clientAuth", "TLS Web Client Authentication", "1.3.6.1.5.5.7.3.1") # pyright: ignore[reportCallIssue] class SSLSocket(socket.socket): context: SSLContext server_side: bool server_hostname: str | None session: SSLSession | None @property def session_reused(self) -> bool | None: ... def __init__(self, *args: Any, **kwargs: Any) -> None: ... def connect(self, addr: socket._Address) -> None: ... def connect_ex(self, addr: socket._Address) -> int: ... def recv(self, buflen: int = 1024, flags: int = 0) -> bytes: ... def recv_into(self, buffer: WriteableBuffer, nbytes: int | None = None, flags: int = 0) -> int: ... def recvfrom(self, buflen: int = 1024, flags: int = 0) -> tuple[bytes, socket._RetAddress]: ... def recvfrom_into( self, buffer: WriteableBuffer, nbytes: int | None = None, flags: int = 0 ) -> tuple[int, socket._RetAddress]: ... def send(self, data: ReadableBuffer, flags: int = 0) -> int: ... def sendall(self, data: ReadableBuffer, flags: int = 0) -> None: ... @overload def sendto(self, data: ReadableBuffer, flags_or_addr: socket._Address, addr: None = None) -> int: ... @overload def sendto(self, data: ReadableBuffer, flags_or_addr: int, addr: socket._Address) -> int: ... def shutdown(self, how: int) -> None: ... def read(self, len: int = 1024, buffer: bytearray | None = None) -> bytes: ... def write(self, data: ReadableBuffer) -> int: ... def do_handshake(self, block: bool = False) -> None: ... # block is undocumented @overload def getpeercert(self, binary_form: Literal[False] = False) -> _PeerCertRetDictType | None: ... @overload def getpeercert(self, binary_form: Literal[True]) -> bytes | None: ... @overload def getpeercert(self, binary_form: bool) -> _PeerCertRetType: ... def cipher(self) -> tuple[str, str, int] | None: ... def shared_ciphers(self) -> list[tuple[str, str, int]] | None: ... def compression(self) -> str | None: ... def get_channel_binding(self, cb_type: str = "tls-unique") -> bytes | None: ... def selected_alpn_protocol(self) -> str | None: ... if sys.version_info >= (3, 10): @deprecated("Deprecated since Python 3.10. Use ALPN instead.") def selected_npn_protocol(self) -> str | None: ... else: def selected_npn_protocol(self) -> str | None: ... def accept(self) -> tuple[SSLSocket, socket._RetAddress]: ... def unwrap(self) -> socket.socket: ... def version(self) -> str | None: ... def pending(self) -> int: ... def verify_client_post_handshake(self) -> None: ... # These methods always raise `NotImplementedError`: def recvmsg(self, *args: Never, **kwargs: Never) -> Never: ... # type: ignore[override] def recvmsg_into(self, *args: Never, **kwargs: Never) -> Never: ... # type: ignore[override] def sendmsg(self, *args: Never, **kwargs: Never) -> Never: ... # type: ignore[override] if sys.version_info >= (3, 13): def get_verified_chain(self) -> list[bytes]: ... def get_unverified_chain(self) -> list[bytes]: ... class TLSVersion(enum.IntEnum): MINIMUM_SUPPORTED = -2 MAXIMUM_SUPPORTED = -1 SSLv3 = 768 TLSv1 = 769 TLSv1_1 = 770 TLSv1_2 = 771 TLSv1_3 = 772 class SSLContext(_SSLContext): options: Options verify_flags: VerifyFlags verify_mode: VerifyMode @property def protocol(self) -> _SSLMethod: ... # type: ignore[override] hostname_checks_common_name: bool maximum_version: TLSVersion minimum_version: TLSVersion # The following two attributes have class-level defaults. # However, the docs explicitly state that it's OK to override these attributes on instances, # so making these ClassVars wouldn't be appropriate sslobject_class: type[SSLObject] sslsocket_class: type[SSLSocket] keylog_filename: str post_handshake_auth: bool if sys.version_info >= (3, 10): security_level: int if sys.version_info >= (3, 10): @overload def __new__(cls, protocol: int, *args: Any, **kwargs: Any) -> Self: ... @overload @deprecated("Deprecated since Python 3.10. Use a specific version of the SSL protocol.") def __new__(cls, protocol: None = None, *args: Any, **kwargs: Any) -> Self: ... else: def __new__(cls, protocol: int = ..., *args: Any, **kwargs: Any) -> Self: ... def load_default_certs(self, purpose: Purpose = Purpose.SERVER_AUTH) -> None: ... def load_verify_locations( self, cafile: StrOrBytesPath | None = None, capath: StrOrBytesPath | None = None, cadata: str | ReadableBuffer | None = None, ) -> None: ... @overload def get_ca_certs(self, binary_form: Literal[False] = False) -> list[_PeerCertRetDictType]: ... @overload def get_ca_certs(self, binary_form: Literal[True]) -> list[bytes]: ... @overload def get_ca_certs(self, binary_form: bool = False) -> Any: ... def get_ciphers(self) -> list[_Cipher]: ... def set_default_verify_paths(self) -> None: ... def set_ciphers(self, cipherlist: str, /) -> None: ... def set_alpn_protocols(self, alpn_protocols: Iterable[str]) -> None: ... if sys.version_info >= (3, 10): @deprecated("Deprecated since Python 3.10. Use ALPN instead.") def set_npn_protocols(self, npn_protocols: Iterable[str]) -> None: ... else: def set_npn_protocols(self, npn_protocols: Iterable[str]) -> None: ... def set_servername_callback(self, server_name_callback: _SrvnmeCbType | None) -> None: ... def load_dh_params(self, path: str, /) -> None: ... def set_ecdh_curve(self, name: str, /) -> None: ... def wrap_socket( self, sock: socket.socket, server_side: bool = False, do_handshake_on_connect: bool = True, suppress_ragged_eofs: bool = True, server_hostname: str | bytes | None = None, session: SSLSession | None = None, ) -> SSLSocket: ... def wrap_bio( self, incoming: MemoryBIO, outgoing: MemoryBIO, server_side: bool = False, server_hostname: str | bytes | None = None, session: SSLSession | None = None, ) -> SSLObject: ... def create_default_context( purpose: Purpose = Purpose.SERVER_AUTH, *, cafile: StrOrBytesPath | None = None, capath: StrOrBytesPath | None = None, cadata: str | ReadableBuffer | None = None, ) -> SSLContext: ... if sys.version_info >= (3, 10): def _create_unverified_context( protocol: int | None = None, *, cert_reqs: int = ..., check_hostname: bool = False, purpose: Purpose = Purpose.SERVER_AUTH, certfile: StrOrBytesPath | None = None, keyfile: StrOrBytesPath | None = None, cafile: StrOrBytesPath | None = None, capath: StrOrBytesPath | None = None, cadata: str | ReadableBuffer | None = None, ) -> SSLContext: ... else: def _create_unverified_context( protocol: int = ..., *, cert_reqs: int = ..., check_hostname: bool = False, purpose: Purpose = Purpose.SERVER_AUTH, certfile: StrOrBytesPath | None = None, keyfile: StrOrBytesPath | None = None, cafile: StrOrBytesPath | None = None, capath: StrOrBytesPath | None = None, cadata: str | ReadableBuffer | None = None, ) -> SSLContext: ... _create_default_https_context = create_default_context class SSLObject: context: SSLContext @property def server_side(self) -> bool: ... @property def server_hostname(self) -> str | None: ... session: SSLSession | None @property def session_reused(self) -> bool: ... def __init__(self, *args: Any, **kwargs: Any) -> None: ... def read(self, len: int = 1024, buffer: bytearray | None = None) -> bytes: ... def write(self, data: ReadableBuffer) -> int: ... @overload def getpeercert(self, binary_form: Literal[False] = False) -> _PeerCertRetDictType | None: ... @overload def getpeercert(self, binary_form: Literal[True]) -> bytes | None: ... @overload def getpeercert(self, binary_form: bool) -> _PeerCertRetType: ... def selected_alpn_protocol(self) -> str | None: ... if sys.version_info >= (3, 10): @deprecated("Deprecated since Python 3.10. Use ALPN instead.") def selected_npn_protocol(self) -> str | None: ... else: def selected_npn_protocol(self) -> str | None: ... def cipher(self) -> tuple[str, str, int] | None: ... def shared_ciphers(self) -> list[tuple[str, str, int]] | None: ... def compression(self) -> str | None: ... def pending(self) -> int: ... def do_handshake(self) -> None: ... def unwrap(self) -> None: ... def version(self) -> str | None: ... def get_channel_binding(self, cb_type: str = "tls-unique") -> bytes | None: ... def verify_client_post_handshake(self) -> None: ... if sys.version_info >= (3, 13): def get_verified_chain(self) -> list[bytes]: ... def get_unverified_chain(self) -> list[bytes]: ... class SSLErrorNumber(enum.IntEnum): SSL_ERROR_EOF = 8 SSL_ERROR_INVALID_ERROR_CODE = 10 SSL_ERROR_SSL = 1 SSL_ERROR_SYSCALL = 5 SSL_ERROR_WANT_CONNECT = 7 SSL_ERROR_WANT_READ = 2 SSL_ERROR_WANT_WRITE = 3 SSL_ERROR_WANT_X509_LOOKUP = 4 SSL_ERROR_ZERO_RETURN = 6 SSL_ERROR_EOF: Final = SSLErrorNumber.SSL_ERROR_EOF # undocumented SSL_ERROR_INVALID_ERROR_CODE: Final = SSLErrorNumber.SSL_ERROR_INVALID_ERROR_CODE # undocumented SSL_ERROR_SSL: Final = SSLErrorNumber.SSL_ERROR_SSL # undocumented SSL_ERROR_SYSCALL: Final = SSLErrorNumber.SSL_ERROR_SYSCALL # undocumented SSL_ERROR_WANT_CONNECT: Final = SSLErrorNumber.SSL_ERROR_WANT_CONNECT # undocumented SSL_ERROR_WANT_READ: Final = SSLErrorNumber.SSL_ERROR_WANT_READ # undocumented SSL_ERROR_WANT_WRITE: Final = SSLErrorNumber.SSL_ERROR_WANT_WRITE # undocumented SSL_ERROR_WANT_X509_LOOKUP: Final = SSLErrorNumber.SSL_ERROR_WANT_X509_LOOKUP # undocumented SSL_ERROR_ZERO_RETURN: Final = SSLErrorNumber.SSL_ERROR_ZERO_RETURN # undocumented def get_protocol_name(protocol_code: int) -> str: ... PEM_FOOTER: Final[str] PEM_HEADER: Final[str] SOCK_STREAM: Final = socket.SOCK_STREAM SOL_SOCKET: Final = socket.SOL_SOCKET SO_TYPE: Final = socket.SO_TYPE ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/stat.pyi0000644000175100017510000000643215112307767020066 0ustar00runnerrunnerimport sys from _stat import ( S_ENFMT as S_ENFMT, S_IEXEC as S_IEXEC, S_IFBLK as S_IFBLK, S_IFCHR as S_IFCHR, S_IFDIR as S_IFDIR, S_IFDOOR as S_IFDOOR, S_IFIFO as S_IFIFO, S_IFLNK as S_IFLNK, S_IFMT as S_IFMT, S_IFPORT as S_IFPORT, S_IFREG as S_IFREG, S_IFSOCK as S_IFSOCK, S_IFWHT as S_IFWHT, S_IMODE as S_IMODE, S_IREAD as S_IREAD, S_IRGRP as S_IRGRP, S_IROTH as S_IROTH, S_IRUSR as S_IRUSR, S_IRWXG as S_IRWXG, S_IRWXO as S_IRWXO, S_IRWXU as S_IRWXU, S_ISBLK as S_ISBLK, S_ISCHR as S_ISCHR, S_ISDIR as S_ISDIR, S_ISDOOR as S_ISDOOR, S_ISFIFO as S_ISFIFO, S_ISGID as S_ISGID, S_ISLNK as S_ISLNK, S_ISPORT as S_ISPORT, S_ISREG as S_ISREG, S_ISSOCK as S_ISSOCK, S_ISUID as S_ISUID, S_ISVTX as S_ISVTX, S_ISWHT as S_ISWHT, S_IWGRP as S_IWGRP, S_IWOTH as S_IWOTH, S_IWRITE as S_IWRITE, S_IWUSR as S_IWUSR, S_IXGRP as S_IXGRP, S_IXOTH as S_IXOTH, S_IXUSR as S_IXUSR, SF_APPEND as SF_APPEND, SF_ARCHIVED as SF_ARCHIVED, SF_IMMUTABLE as SF_IMMUTABLE, SF_NOUNLINK as SF_NOUNLINK, SF_SNAPSHOT as SF_SNAPSHOT, ST_ATIME as ST_ATIME, ST_CTIME as ST_CTIME, ST_DEV as ST_DEV, ST_GID as ST_GID, ST_INO as ST_INO, ST_MODE as ST_MODE, ST_MTIME as ST_MTIME, ST_NLINK as ST_NLINK, ST_SIZE as ST_SIZE, ST_UID as ST_UID, UF_APPEND as UF_APPEND, UF_COMPRESSED as UF_COMPRESSED, UF_HIDDEN as UF_HIDDEN, UF_IMMUTABLE as UF_IMMUTABLE, UF_NODUMP as UF_NODUMP, UF_NOUNLINK as UF_NOUNLINK, UF_OPAQUE as UF_OPAQUE, filemode as filemode, ) from typing import Final if sys.platform == "win32": from _stat import ( IO_REPARSE_TAG_APPEXECLINK as IO_REPARSE_TAG_APPEXECLINK, IO_REPARSE_TAG_MOUNT_POINT as IO_REPARSE_TAG_MOUNT_POINT, IO_REPARSE_TAG_SYMLINK as IO_REPARSE_TAG_SYMLINK, ) if sys.version_info >= (3, 13): from _stat import ( SF_DATALESS as SF_DATALESS, SF_FIRMLINK as SF_FIRMLINK, SF_SETTABLE as SF_SETTABLE, UF_DATAVAULT as UF_DATAVAULT, UF_SETTABLE as UF_SETTABLE, UF_TRACKED as UF_TRACKED, ) if sys.platform == "darwin": from _stat import SF_SUPPORTED as SF_SUPPORTED, SF_SYNTHETIC as SF_SYNTHETIC # _stat.c defines FILE_ATTRIBUTE_* constants conditionally, # making them available only at runtime on Windows. # stat.py unconditionally redefines the same FILE_ATTRIBUTE_* constants # on all platforms. FILE_ATTRIBUTE_ARCHIVE: Final = 32 FILE_ATTRIBUTE_COMPRESSED: Final = 2048 FILE_ATTRIBUTE_DEVICE: Final = 64 FILE_ATTRIBUTE_DIRECTORY: Final = 16 FILE_ATTRIBUTE_ENCRYPTED: Final = 16384 FILE_ATTRIBUTE_HIDDEN: Final = 2 FILE_ATTRIBUTE_INTEGRITY_STREAM: Final = 32768 FILE_ATTRIBUTE_NORMAL: Final = 128 FILE_ATTRIBUTE_NOT_CONTENT_INDEXED: Final = 8192 FILE_ATTRIBUTE_NO_SCRUB_DATA: Final = 131072 FILE_ATTRIBUTE_OFFLINE: Final = 4096 FILE_ATTRIBUTE_READONLY: Final = 1 FILE_ATTRIBUTE_REPARSE_POINT: Final = 1024 FILE_ATTRIBUTE_SPARSE_FILE: Final = 512 FILE_ATTRIBUTE_SYSTEM: Final = 4 FILE_ATTRIBUTE_TEMPORARY: Final = 256 FILE_ATTRIBUTE_VIRTUAL: Final = 65536 if sys.version_info >= (3, 13): # https://github.com/python/cpython/issues/114081#issuecomment-2119017790 SF_RESTRICTED: Final = 0x00080000 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/statistics.pyi0000644000175100017510000001313415112307767021302 0ustar00runnerrunnerimport sys from _typeshed import SupportsRichComparisonT from collections.abc import Callable, Hashable, Iterable, Sequence from decimal import Decimal from fractions import Fraction from typing import Literal, NamedTuple, SupportsFloat, SupportsIndex, TypeVar from typing_extensions import Self, TypeAlias __all__ = [ "StatisticsError", "fmean", "geometric_mean", "mean", "harmonic_mean", "pstdev", "pvariance", "stdev", "variance", "median", "median_low", "median_high", "median_grouped", "mode", "multimode", "NormalDist", "quantiles", ] if sys.version_info >= (3, 10): __all__ += ["covariance", "correlation", "linear_regression"] if sys.version_info >= (3, 13): __all__ += ["kde", "kde_random"] # Most functions in this module accept homogeneous collections of one of these types _Number: TypeAlias = float | Decimal | Fraction _NumberT = TypeVar("_NumberT", float, Decimal, Fraction) # Used in mode, multimode _HashableT = TypeVar("_HashableT", bound=Hashable) # Used in NormalDist.samples and kde_random _Seed: TypeAlias = int | float | str | bytes | bytearray # noqa: Y041 class StatisticsError(ValueError): ... if sys.version_info >= (3, 11): def fmean(data: Iterable[SupportsFloat], weights: Iterable[SupportsFloat] | None = None) -> float: ... else: def fmean(data: Iterable[SupportsFloat]) -> float: ... def geometric_mean(data: Iterable[SupportsFloat]) -> float: ... def mean(data: Iterable[_NumberT]) -> _NumberT: ... if sys.version_info >= (3, 10): def harmonic_mean(data: Iterable[_NumberT], weights: Iterable[_Number] | None = None) -> _NumberT: ... else: def harmonic_mean(data: Iterable[_NumberT]) -> _NumberT: ... def median(data: Iterable[_NumberT]) -> _NumberT: ... def median_low(data: Iterable[SupportsRichComparisonT]) -> SupportsRichComparisonT: ... def median_high(data: Iterable[SupportsRichComparisonT]) -> SupportsRichComparisonT: ... if sys.version_info >= (3, 11): def median_grouped(data: Iterable[SupportsFloat], interval: SupportsFloat = 1.0) -> float: ... else: def median_grouped(data: Iterable[_NumberT], interval: _NumberT | float = 1) -> _NumberT | float: ... def mode(data: Iterable[_HashableT]) -> _HashableT: ... def multimode(data: Iterable[_HashableT]) -> list[_HashableT]: ... def pstdev(data: Iterable[_NumberT], mu: _NumberT | None = None) -> _NumberT: ... def pvariance(data: Iterable[_NumberT], mu: _NumberT | None = None) -> _NumberT: ... def quantiles( data: Iterable[_NumberT], *, n: int = 4, method: Literal["inclusive", "exclusive"] = "exclusive" ) -> list[_NumberT]: ... def stdev(data: Iterable[_NumberT], xbar: _NumberT | None = None) -> _NumberT: ... def variance(data: Iterable[_NumberT], xbar: _NumberT | None = None) -> _NumberT: ... class NormalDist: __slots__ = {"_mu": "Arithmetic mean of a normal distribution", "_sigma": "Standard deviation of a normal distribution"} def __init__(self, mu: float = 0.0, sigma: float = 1.0) -> None: ... @property def mean(self) -> float: ... @property def median(self) -> float: ... @property def mode(self) -> float: ... @property def stdev(self) -> float: ... @property def variance(self) -> float: ... @classmethod def from_samples(cls, data: Iterable[SupportsFloat]) -> Self: ... def samples(self, n: SupportsIndex, *, seed: _Seed | None = None) -> list[float]: ... def pdf(self, x: float) -> float: ... def cdf(self, x: float) -> float: ... def inv_cdf(self, p: float) -> float: ... def overlap(self, other: NormalDist) -> float: ... def quantiles(self, n: int = 4) -> list[float]: ... def zscore(self, x: float) -> float: ... def __eq__(x1, x2: object) -> bool: ... def __add__(x1, x2: float | NormalDist) -> NormalDist: ... def __sub__(x1, x2: float | NormalDist) -> NormalDist: ... def __mul__(x1, x2: float) -> NormalDist: ... def __truediv__(x1, x2: float) -> NormalDist: ... def __pos__(x1) -> NormalDist: ... def __neg__(x1) -> NormalDist: ... __radd__ = __add__ def __rsub__(x1, x2: float | NormalDist) -> NormalDist: ... __rmul__ = __mul__ def __hash__(self) -> int: ... if sys.version_info >= (3, 12): def correlation( x: Sequence[_Number], y: Sequence[_Number], /, *, method: Literal["linear", "ranked"] = "linear" ) -> float: ... elif sys.version_info >= (3, 10): def correlation(x: Sequence[_Number], y: Sequence[_Number], /) -> float: ... if sys.version_info >= (3, 10): def covariance(x: Sequence[_Number], y: Sequence[_Number], /) -> float: ... class LinearRegression(NamedTuple): slope: float intercept: float if sys.version_info >= (3, 11): def linear_regression( regressor: Sequence[_Number], dependent_variable: Sequence[_Number], /, *, proportional: bool = False ) -> LinearRegression: ... elif sys.version_info >= (3, 10): def linear_regression(regressor: Sequence[_Number], dependent_variable: Sequence[_Number], /) -> LinearRegression: ... if sys.version_info >= (3, 13): _Kernel: TypeAlias = Literal[ "normal", "gauss", "logistic", "sigmoid", "rectangular", "uniform", "triangular", "parabolic", "epanechnikov", "quartic", "biweight", "triweight", "cosine", ] def kde( data: Sequence[float], h: float, kernel: _Kernel = "normal", *, cumulative: bool = False ) -> Callable[[float], float]: ... def kde_random( data: Sequence[float], h: float, kernel: _Kernel = "normal", *, seed: _Seed | None = None ) -> Callable[[], float]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6097655 mypy-1.19.0/mypy/typeshed/stdlib/string/0000755000175100017510000000000015112310012017642 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/string/__init__.pyi0000644000175100017510000000602715112307767022160 0ustar00runnerrunnerimport sys from _typeshed import StrOrLiteralStr from collections.abc import Iterable, Mapping, Sequence from re import Pattern, RegexFlag from typing import Any, ClassVar, Final, overload from typing_extensions import LiteralString __all__ = [ "ascii_letters", "ascii_lowercase", "ascii_uppercase", "capwords", "digits", "hexdigits", "octdigits", "printable", "punctuation", "whitespace", "Formatter", "Template", ] whitespace: Final = " \t\n\r\v\f" ascii_lowercase: Final = "abcdefghijklmnopqrstuvwxyz" ascii_uppercase: Final = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" ascii_letters: Final[LiteralString] # string too long digits: Final = "0123456789" hexdigits: Final = "0123456789abcdefABCDEF" octdigits: Final = "01234567" punctuation: Final = r"""!"#$%&'()*+,-./:;<=>?@[\]^_`{|}~""" printable: Final[LiteralString] # string too long def capwords(s: StrOrLiteralStr, sep: StrOrLiteralStr | None = None) -> StrOrLiteralStr: ... class Template: template: str delimiter: ClassVar[str] idpattern: ClassVar[str] braceidpattern: ClassVar[str | None] if sys.version_info >= (3, 14): flags: ClassVar[RegexFlag | None] else: flags: ClassVar[RegexFlag] pattern: ClassVar[Pattern[str]] def __init__(self, template: str) -> None: ... def substitute(self, mapping: Mapping[str, object] = {}, /, **kwds: object) -> str: ... def safe_substitute(self, mapping: Mapping[str, object] = {}, /, **kwds: object) -> str: ... if sys.version_info >= (3, 11): def get_identifiers(self) -> list[str]: ... def is_valid(self) -> bool: ... class Formatter: @overload def format(self, format_string: LiteralString, /, *args: LiteralString, **kwargs: LiteralString) -> LiteralString: ... @overload def format(self, format_string: str, /, *args: Any, **kwargs: Any) -> str: ... @overload def vformat( self, format_string: LiteralString, args: Sequence[LiteralString], kwargs: Mapping[LiteralString, LiteralString] ) -> LiteralString: ... @overload def vformat(self, format_string: str, args: Sequence[Any], kwargs: Mapping[str, Any]) -> str: ... def _vformat( # undocumented self, format_string: str, args: Sequence[Any], kwargs: Mapping[str, Any], used_args: set[int | str], recursion_depth: int, auto_arg_index: int = 0, ) -> tuple[str, int]: ... def parse( self, format_string: StrOrLiteralStr ) -> Iterable[tuple[StrOrLiteralStr, StrOrLiteralStr | None, StrOrLiteralStr | None, StrOrLiteralStr | None]]: ... def get_field(self, field_name: str, args: Sequence[Any], kwargs: Mapping[str, Any]) -> Any: ... def get_value(self, key: int | str, args: Sequence[Any], kwargs: Mapping[str, Any]) -> Any: ... def check_unused_args(self, used_args: set[int | str], args: Sequence[Any], kwargs: Mapping[str, Any]) -> None: ... def format_field(self, value: Any, format_spec: str) -> Any: ... def convert_field(self, value: Any, conversion: str | None) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/string/templatelib.pyi0000644000175100017510000000245415112307767022723 0ustar00runnerrunnerfrom collections.abc import Iterator from types import GenericAlias from typing import Any, Literal, TypeVar, final, overload _T = TypeVar("_T") @final class Template: # TODO: consider making `Template` generic on `TypeVarTuple` strings: tuple[str, ...] interpolations: tuple[Interpolation, ...] def __new__(cls, *args: str | Interpolation) -> Template: ... def __iter__(self) -> Iterator[str | Interpolation]: ... def __add__(self, other: Template, /) -> Template: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @property def values(self) -> tuple[Any, ...]: ... # Tuple of interpolation values, which can have any type @final class Interpolation: value: Any # TODO: consider making `Interpolation` generic in runtime expression: str conversion: Literal["a", "r", "s"] | None format_spec: str __match_args__ = ("value", "expression", "conversion", "format_spec") def __new__( cls, value: Any, expression: str = "", conversion: Literal["a", "r", "s"] | None = None, format_spec: str = "" ) -> Interpolation: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... @overload def convert(obj: _T, /, conversion: None) -> _T: ... @overload def convert(obj: object, /, conversion: Literal["r", "s", "a"]) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/stringprep.pyi0000644000175100017510000000173115112307767021305 0ustar00runnerrunnerfrom typing import Final b1_set: Final[set[int]] b3_exceptions: Final[dict[int, str]] c22_specials: Final[set[int]] c6_set: Final[set[int]] c7_set: Final[set[int]] c8_set: Final[set[int]] c9_set: Final[set[int]] def in_table_a1(code: str) -> bool: ... def in_table_b1(code: str) -> bool: ... def map_table_b3(code: str) -> str: ... def map_table_b2(a: str) -> str: ... def in_table_c11(code: str) -> bool: ... def in_table_c12(code: str) -> bool: ... def in_table_c11_c12(code: str) -> bool: ... def in_table_c21(code: str) -> bool: ... def in_table_c22(code: str) -> bool: ... def in_table_c21_c22(code: str) -> bool: ... def in_table_c3(code: str) -> bool: ... def in_table_c4(code: str) -> bool: ... def in_table_c5(code: str) -> bool: ... def in_table_c6(code: str) -> bool: ... def in_table_c7(code: str) -> bool: ... def in_table_c8(code: str) -> bool: ... def in_table_c9(code: str) -> bool: ... def in_table_d1(code: str) -> bool: ... def in_table_d2(code: str) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/struct.pyi0000644000175100017510000000023315112307767020430 0ustar00runnerrunnerfrom _struct import * __all__ = ["calcsize", "pack", "pack_into", "unpack", "unpack_from", "iter_unpack", "Struct", "error"] class error(Exception): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/subprocess.pyi0000644000175100017510000021644015112307767021305 0ustar00runnerrunnerimport sys from _typeshed import MaybeNone, ReadableBuffer, StrOrBytesPath from collections.abc import Callable, Collection, Iterable, Mapping, Sequence from types import GenericAlias, TracebackType from typing import IO, Any, AnyStr, Final, Generic, Literal, TypeVar, overload from typing_extensions import Self, TypeAlias __all__ = [ "Popen", "PIPE", "STDOUT", "call", "check_call", "getstatusoutput", "getoutput", "check_output", "run", "CalledProcessError", "DEVNULL", "SubprocessError", "TimeoutExpired", "CompletedProcess", ] if sys.platform == "win32": __all__ += [ "CREATE_NEW_CONSOLE", "CREATE_NEW_PROCESS_GROUP", "STARTF_USESHOWWINDOW", "STARTF_USESTDHANDLES", "STARTUPINFO", "STD_ERROR_HANDLE", "STD_INPUT_HANDLE", "STD_OUTPUT_HANDLE", "SW_HIDE", "ABOVE_NORMAL_PRIORITY_CLASS", "BELOW_NORMAL_PRIORITY_CLASS", "CREATE_BREAKAWAY_FROM_JOB", "CREATE_DEFAULT_ERROR_MODE", "CREATE_NO_WINDOW", "DETACHED_PROCESS", "HIGH_PRIORITY_CLASS", "IDLE_PRIORITY_CLASS", "NORMAL_PRIORITY_CLASS", "REALTIME_PRIORITY_CLASS", ] # We prefer to annotate inputs to methods (eg subprocess.check_call) with these # union types. # For outputs we use laborious literal based overloads to try to determine # which specific return types to use, and prefer to fall back to Any when # this does not work, so the caller does not have to use an assertion to confirm # which type. # # For example: # # try: # x = subprocess.check_output(["ls", "-l"]) # reveal_type(x) # bytes, based on the overloads # except TimeoutError as e: # reveal_type(e.cmd) # Any, but morally is _CMD _FILE: TypeAlias = None | int | IO[Any] _InputString: TypeAlias = ReadableBuffer | str _CMD: TypeAlias = StrOrBytesPath | Sequence[StrOrBytesPath] if sys.platform == "win32": _ENV: TypeAlias = Mapping[str, str] else: _ENV: TypeAlias = Mapping[bytes, StrOrBytesPath] | Mapping[str, StrOrBytesPath] _T = TypeVar("_T") # These two are private but documented if sys.version_info >= (3, 11): _USE_VFORK: Final[bool] _USE_POSIX_SPAWN: Final[bool] class CompletedProcess(Generic[_T]): # morally: _CMD args: Any returncode: int # These can both be None, but requiring checks for None would be tedious # and writing all the overloads would be horrific. stdout: _T stderr: _T def __init__(self, args: _CMD, returncode: int, stdout: _T | None = None, stderr: _T | None = None) -> None: ... def check_returncode(self) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... if sys.version_info >= (3, 11): # 3.11 adds "process_group" argument @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: str | None = None, text: Literal[True], timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str, errors: str | None = None, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the *real* keyword only args start capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: None = None, errors: None = None, input: ReadableBuffer | None = None, text: Literal[False] | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> CompletedProcess[bytes]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: _InputString | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> CompletedProcess[Any]: ... elif sys.version_info >= (3, 10): # 3.10 adds "pipesize" argument @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: str | None = None, text: Literal[True], timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str, errors: str | None = None, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the *real* keyword only args start capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: None = None, errors: None = None, input: ReadableBuffer | None = None, text: Literal[False] | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> CompletedProcess[bytes]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: _InputString | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> CompletedProcess[Any]: ... else: # 3.9 adds arguments "user", "group", "extra_groups" and "umask" @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: str | None = None, text: Literal[True], timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str, errors: str | None = None, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the *real* keyword only args start capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: str | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> CompletedProcess[str]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: None = None, errors: None = None, input: ReadableBuffer | None = None, text: Literal[False] | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> CompletedProcess[bytes]: ... @overload def run( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, capture_output: bool = False, check: bool = False, encoding: str | None = None, errors: str | None = None, input: _InputString | None = None, text: bool | None = None, timeout: float | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> CompletedProcess[Any]: ... # Same args as Popen.__init__ if sys.version_info >= (3, 11): # 3.11 adds "process_group" argument def call( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, encoding: str | None = None, timeout: float | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> int: ... elif sys.version_info >= (3, 10): # 3.10 adds "pipesize" argument def call( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, encoding: str | None = None, timeout: float | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> int: ... else: def call( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, encoding: str | None = None, timeout: float | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> int: ... # Same args as Popen.__init__ if sys.version_info >= (3, 11): # 3.11 adds "process_group" argument def check_call( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), timeout: float | None = None, *, encoding: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> int: ... elif sys.version_info >= (3, 10): # 3.10 adds "pipesize" argument def check_call( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), timeout: float | None = None, *, encoding: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> int: ... else: def check_call( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stdout: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), timeout: float | None = None, *, encoding: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> int: ... if sys.version_info >= (3, 11): # 3.11 adds "process_group" argument @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: Literal[True], user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the real keyword only ones start timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: None = None, errors: None = None, text: Literal[False] | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> bytes: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> Any: ... # morally: -> str | bytes elif sys.version_info >= (3, 10): # 3.10 adds "pipesize" argument @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: Literal[True], user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the real keyword only ones start timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: None = None, errors: None = None, text: Literal[False] | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> bytes: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> Any: ... # morally: -> str | bytes else: @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: Literal[True], user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the real keyword only ones start timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> str: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: None = None, errors: None = None, text: Literal[False] | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> bytes: ... @overload def check_output( args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE = None, stderr: _FILE = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, timeout: float | None = None, input: _InputString | None = None, encoding: str | None = None, errors: str | None = None, text: bool | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> Any: ... # morally: -> str | bytes PIPE: Final[int] STDOUT: Final[int] DEVNULL: Final[int] class SubprocessError(Exception): ... class TimeoutExpired(SubprocessError): def __init__( self, cmd: _CMD, timeout: float, output: str | bytes | None = None, stderr: str | bytes | None = None ) -> None: ... # morally: _CMD cmd: Any timeout: float # morally: str | bytes | None output: Any stdout: bytes | None stderr: bytes | None class CalledProcessError(SubprocessError): returncode: int # morally: _CMD cmd: Any # morally: str | bytes | None output: Any # morally: str | bytes | None stdout: Any stderr: Any def __init__( self, returncode: int, cmd: _CMD, output: str | bytes | None = None, stderr: str | bytes | None = None ) -> None: ... class Popen(Generic[AnyStr]): args: _CMD stdin: IO[AnyStr] | None stdout: IO[AnyStr] | None stderr: IO[AnyStr] | None pid: int returncode: int | MaybeNone universal_newlines: bool if sys.version_info >= (3, 11): # process_group is added in 3.11 @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str | None = None, errors: str, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the *real* keyword only args start text: bool | None = None, encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: Literal[True], encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> None: ... @overload def __init__( self: Popen[bytes], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: Literal[False] | None = None, encoding: None = None, errors: None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> None: ... @overload def __init__( self: Popen[Any], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, process_group: int | None = None, ) -> None: ... elif sys.version_info >= (3, 10): # pipesize is added in 3.10 @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str | None = None, errors: str, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the *real* keyword only args start text: bool | None = None, encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: Literal[True], encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> None: ... @overload def __init__( self: Popen[bytes], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: Literal[False] | None = None, encoding: None = None, errors: None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> None: ... @overload def __init__( self: Popen[Any], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, pipesize: int = -1, ) -> None: ... else: @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str | None = None, errors: str, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, *, universal_newlines: Literal[True], startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), # where the *real* keyword only args start text: bool | None = None, encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> None: ... @overload def __init__( self: Popen[str], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: Literal[True], encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> None: ... @overload def __init__( self: Popen[bytes], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: Literal[False] | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: Literal[False] | None = None, encoding: None = None, errors: None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> None: ... @overload def __init__( self: Popen[Any], args: _CMD, bufsize: int = -1, executable: StrOrBytesPath | None = None, stdin: _FILE | None = None, stdout: _FILE | None = None, stderr: _FILE | None = None, preexec_fn: Callable[[], Any] | None = None, close_fds: bool = True, shell: bool = False, cwd: StrOrBytesPath | None = None, env: _ENV | None = None, universal_newlines: bool | None = None, startupinfo: Any | None = None, creationflags: int = 0, restore_signals: bool = True, start_new_session: bool = False, pass_fds: Collection[int] = (), *, text: bool | None = None, encoding: str | None = None, errors: str | None = None, user: str | int | None = None, group: str | int | None = None, extra_groups: Iterable[str | int] | None = None, umask: int = -1, ) -> None: ... def poll(self) -> int | None: ... def wait(self, timeout: float | None = None) -> int: ... # morally the members of the returned tuple should be optional # TODO: this should allow ReadableBuffer for Popen[bytes], but adding # overloads for that runs into a mypy bug (python/mypy#14070). def communicate(self, input: AnyStr | None = None, timeout: float | None = None) -> tuple[AnyStr, AnyStr]: ... def send_signal(self, sig: int) -> None: ... def terminate(self) -> None: ... def kill(self) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... def __del__(self) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... # The result really is always a str. if sys.version_info >= (3, 11): def getstatusoutput(cmd: _CMD, *, encoding: str | None = None, errors: str | None = None) -> tuple[int, str]: ... def getoutput(cmd: _CMD, *, encoding: str | None = None, errors: str | None = None) -> str: ... else: def getstatusoutput(cmd: _CMD) -> tuple[int, str]: ... def getoutput(cmd: _CMD) -> str: ... def list2cmdline(seq: Iterable[StrOrBytesPath]) -> str: ... # undocumented if sys.platform == "win32": if sys.version_info >= (3, 13): from _winapi import STARTF_FORCEOFFFEEDBACK, STARTF_FORCEONFEEDBACK __all__ += ["STARTF_FORCEOFFFEEDBACK", "STARTF_FORCEONFEEDBACK"] class STARTUPINFO: def __init__( self, *, dwFlags: int = 0, hStdInput: Any | None = None, hStdOutput: Any | None = None, hStdError: Any | None = None, wShowWindow: int = 0, lpAttributeList: Mapping[str, Any] | None = None, ) -> None: ... dwFlags: int hStdInput: Any | None hStdOutput: Any | None hStdError: Any | None wShowWindow: int lpAttributeList: Mapping[str, Any] def copy(self) -> STARTUPINFO: ... from _winapi import ( ABOVE_NORMAL_PRIORITY_CLASS as ABOVE_NORMAL_PRIORITY_CLASS, BELOW_NORMAL_PRIORITY_CLASS as BELOW_NORMAL_PRIORITY_CLASS, CREATE_BREAKAWAY_FROM_JOB as CREATE_BREAKAWAY_FROM_JOB, CREATE_DEFAULT_ERROR_MODE as CREATE_DEFAULT_ERROR_MODE, CREATE_NEW_CONSOLE as CREATE_NEW_CONSOLE, CREATE_NEW_PROCESS_GROUP as CREATE_NEW_PROCESS_GROUP, CREATE_NO_WINDOW as CREATE_NO_WINDOW, DETACHED_PROCESS as DETACHED_PROCESS, HIGH_PRIORITY_CLASS as HIGH_PRIORITY_CLASS, IDLE_PRIORITY_CLASS as IDLE_PRIORITY_CLASS, NORMAL_PRIORITY_CLASS as NORMAL_PRIORITY_CLASS, REALTIME_PRIORITY_CLASS as REALTIME_PRIORITY_CLASS, STARTF_USESHOWWINDOW as STARTF_USESHOWWINDOW, STARTF_USESTDHANDLES as STARTF_USESTDHANDLES, STD_ERROR_HANDLE as STD_ERROR_HANDLE, STD_INPUT_HANDLE as STD_INPUT_HANDLE, STD_OUTPUT_HANDLE as STD_OUTPUT_HANDLE, SW_HIDE as SW_HIDE, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sunau.pyi0000644000175100017510000000565715112307767020256 0ustar00runnerrunnerfrom _typeshed import Unused from typing import IO, Any, Final, Literal, NamedTuple, NoReturn, overload from typing_extensions import Self, TypeAlias _File: TypeAlias = str | IO[bytes] class Error(Exception): ... AUDIO_FILE_MAGIC: Final = 0x2E736E64 AUDIO_FILE_ENCODING_MULAW_8: Final = 1 AUDIO_FILE_ENCODING_LINEAR_8: Final = 2 AUDIO_FILE_ENCODING_LINEAR_16: Final = 3 AUDIO_FILE_ENCODING_LINEAR_24: Final = 4 AUDIO_FILE_ENCODING_LINEAR_32: Final = 5 AUDIO_FILE_ENCODING_FLOAT: Final = 6 AUDIO_FILE_ENCODING_DOUBLE: Final = 7 AUDIO_FILE_ENCODING_ADPCM_G721: Final = 23 AUDIO_FILE_ENCODING_ADPCM_G722: Final = 24 AUDIO_FILE_ENCODING_ADPCM_G723_3: Final = 25 AUDIO_FILE_ENCODING_ADPCM_G723_5: Final = 26 AUDIO_FILE_ENCODING_ALAW_8: Final = 27 AUDIO_UNKNOWN_SIZE: Final = 0xFFFFFFFF class _sunau_params(NamedTuple): nchannels: int sampwidth: int framerate: int nframes: int comptype: str compname: str class Au_read: def __init__(self, f: _File) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def __del__(self) -> None: ... def getfp(self) -> IO[bytes] | None: ... def rewind(self) -> None: ... def close(self) -> None: ... def tell(self) -> int: ... def getnchannels(self) -> int: ... def getnframes(self) -> int: ... def getsampwidth(self) -> int: ... def getframerate(self) -> int: ... def getcomptype(self) -> str: ... def getcompname(self) -> str: ... def getparams(self) -> _sunau_params: ... def getmarkers(self) -> None: ... def getmark(self, id: Any) -> NoReturn: ... def setpos(self, pos: int) -> None: ... def readframes(self, nframes: int) -> bytes | None: ... class Au_write: def __init__(self, f: _File) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def __del__(self) -> None: ... def setnchannels(self, nchannels: int) -> None: ... def getnchannels(self) -> int: ... def setsampwidth(self, sampwidth: int) -> None: ... def getsampwidth(self) -> int: ... def setframerate(self, framerate: float) -> None: ... def getframerate(self) -> int: ... def setnframes(self, nframes: int) -> None: ... def getnframes(self) -> int: ... def setcomptype(self, type: str, name: str) -> None: ... def getcomptype(self) -> str: ... def getcompname(self) -> str: ... def setparams(self, params: _sunau_params) -> None: ... def getparams(self) -> _sunau_params: ... def tell(self) -> int: ... # should be any bytes-like object after 3.4, but we don't have a type for that def writeframesraw(self, data: bytes) -> None: ... def writeframes(self, data: bytes) -> None: ... def close(self) -> None: ... @overload def open(f: _File, mode: Literal["r", "rb"]) -> Au_read: ... @overload def open(f: _File, mode: Literal["w", "wb"]) -> Au_write: ... @overload def open(f: _File, mode: str | None = None) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/symbol.pyi0000644000175100017510000000414015112307767020412 0ustar00runnerrunnerfrom typing import Final single_input: Final[int] file_input: Final[int] eval_input: Final[int] decorator: Final[int] decorators: Final[int] decorated: Final[int] async_funcdef: Final[int] funcdef: Final[int] parameters: Final[int] typedargslist: Final[int] tfpdef: Final[int] varargslist: Final[int] vfpdef: Final[int] stmt: Final[int] simple_stmt: Final[int] small_stmt: Final[int] expr_stmt: Final[int] annassign: Final[int] testlist_star_expr: Final[int] augassign: Final[int] del_stmt: Final[int] pass_stmt: Final[int] flow_stmt: Final[int] break_stmt: Final[int] continue_stmt: Final[int] return_stmt: Final[int] yield_stmt: Final[int] raise_stmt: Final[int] import_stmt: Final[int] import_name: Final[int] import_from: Final[int] import_as_name: Final[int] dotted_as_name: Final[int] import_as_names: Final[int] dotted_as_names: Final[int] dotted_name: Final[int] global_stmt: Final[int] nonlocal_stmt: Final[int] assert_stmt: Final[int] compound_stmt: Final[int] async_stmt: Final[int] if_stmt: Final[int] while_stmt: Final[int] for_stmt: Final[int] try_stmt: Final[int] with_stmt: Final[int] with_item: Final[int] except_clause: Final[int] suite: Final[int] test: Final[int] test_nocond: Final[int] lambdef: Final[int] lambdef_nocond: Final[int] or_test: Final[int] and_test: Final[int] not_test: Final[int] comparison: Final[int] comp_op: Final[int] star_expr: Final[int] expr: Final[int] xor_expr: Final[int] and_expr: Final[int] shift_expr: Final[int] arith_expr: Final[int] term: Final[int] factor: Final[int] power: Final[int] atom_expr: Final[int] atom: Final[int] testlist_comp: Final[int] trailer: Final[int] subscriptlist: Final[int] subscript: Final[int] sliceop: Final[int] exprlist: Final[int] testlist: Final[int] dictorsetmaker: Final[int] classdef: Final[int] arglist: Final[int] argument: Final[int] comp_iter: Final[int] comp_for: Final[int] comp_if: Final[int] encoding_decl: Final[int] yield_expr: Final[int] yield_arg: Final[int] sync_comp_for: Final[int] func_body_suite: Final[int] func_type: Final[int] func_type_input: Final[int] namedexpr_test: Final[int] typelist: Final[int] sym_name: Final[dict[int, str]] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/symtable.pyi0000644000175100017510000000602715112307767020733 0ustar00runnerrunnerimport sys from _collections_abc import dict_keys from collections.abc import Sequence from typing import Any from typing_extensions import deprecated __all__ = ["symtable", "SymbolTable", "Class", "Function", "Symbol"] if sys.version_info >= (3, 13): __all__ += ["SymbolTableType"] def symtable(code: str, filename: str, compile_type: str) -> SymbolTable: ... if sys.version_info >= (3, 13): from enum import StrEnum class SymbolTableType(StrEnum): MODULE = "module" FUNCTION = "function" CLASS = "class" ANNOTATION = "annotation" TYPE_ALIAS = "type alias" TYPE_PARAMETERS = "type parameters" TYPE_VARIABLE = "type variable" class SymbolTable: def __init__(self, raw_table: Any, filename: str) -> None: ... if sys.version_info >= (3, 13): def get_type(self) -> SymbolTableType: ... else: def get_type(self) -> str: ... def get_id(self) -> int: ... def get_name(self) -> str: ... def get_lineno(self) -> int: ... def is_optimized(self) -> bool: ... def is_nested(self) -> bool: ... def has_children(self) -> bool: ... def get_identifiers(self) -> dict_keys[str, int]: ... def lookup(self, name: str) -> Symbol: ... def get_symbols(self) -> list[Symbol]: ... def get_children(self) -> list[SymbolTable]: ... class Function(SymbolTable): def get_parameters(self) -> tuple[str, ...]: ... def get_locals(self) -> tuple[str, ...]: ... def get_globals(self) -> tuple[str, ...]: ... def get_frees(self) -> tuple[str, ...]: ... def get_nonlocals(self) -> tuple[str, ...]: ... class Class(SymbolTable): if sys.version_info >= (3, 14): @deprecated("Deprecated since Python 3.14; will be removed in Python 3.16.") def get_methods(self) -> tuple[str, ...]: ... else: def get_methods(self) -> tuple[str, ...]: ... class Symbol: def __init__( self, name: str, flags: int, namespaces: Sequence[SymbolTable] | None = None, *, module_scope: bool = False ) -> None: ... def is_nonlocal(self) -> bool: ... def get_name(self) -> str: ... def is_referenced(self) -> bool: ... def is_parameter(self) -> bool: ... if sys.version_info >= (3, 14): def is_type_parameter(self) -> bool: ... def is_global(self) -> bool: ... def is_declared_global(self) -> bool: ... def is_local(self) -> bool: ... def is_annotated(self) -> bool: ... def is_free(self) -> bool: ... if sys.version_info >= (3, 14): def is_free_class(self) -> bool: ... def is_imported(self) -> bool: ... def is_assigned(self) -> bool: ... if sys.version_info >= (3, 14): def is_comp_iter(self) -> bool: ... def is_comp_cell(self) -> bool: ... def is_namespace(self) -> bool: ... def get_namespaces(self) -> Sequence[SymbolTable]: ... def get_namespace(self) -> SymbolTable: ... class SymbolTableFactory: def new(self, table: Any, filename: str) -> SymbolTable: ... def __call__(self, table: Any, filename: str) -> SymbolTable: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6097655 mypy-1.19.0/mypy/typeshed/stdlib/sys/0000755000175100017510000000000015112310012017152 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sys/__init__.pyi0000644000175100017510000004160615112307767021472 0ustar00runnerrunnerimport sys from _typeshed import MaybeNone, OptExcInfo, ProfileFunction, StrOrBytesPath, TraceFunction, structseq from _typeshed.importlib import MetaPathFinderProtocol, PathEntryFinderProtocol from builtins import object as _object from collections.abc import AsyncGenerator, Callable, Sequence from io import TextIOWrapper from types import FrameType, ModuleType, TracebackType from typing import Any, Final, Literal, NoReturn, Protocol, TextIO, TypeVar, final, overload, type_check_only from typing_extensions import LiteralString, TypeAlias, deprecated _T = TypeVar("_T") # see https://github.com/python/typeshed/issues/8513#issue-1333671093 for the rationale behind this alias _ExitCode: TypeAlias = str | int | None # ----- sys variables ----- if sys.platform != "win32": abiflags: str argv: list[str] base_exec_prefix: str base_prefix: str byteorder: Literal["little", "big"] builtin_module_names: Sequence[str] # actually a tuple of strings copyright: str if sys.platform == "win32": dllhandle: int dont_write_bytecode: bool displayhook: Callable[[object], Any] excepthook: Callable[[type[BaseException], BaseException, TracebackType | None], Any] exec_prefix: str executable: str float_repr_style: Literal["short", "legacy"] hexversion: int last_type: type[BaseException] | None last_value: BaseException | None last_traceback: TracebackType | None if sys.version_info >= (3, 12): last_exc: BaseException # or undefined. maxsize: int maxunicode: int meta_path: list[MetaPathFinderProtocol] modules: dict[str, ModuleType] if sys.version_info >= (3, 10): orig_argv: list[str] path: list[str] path_hooks: list[Callable[[str], PathEntryFinderProtocol]] path_importer_cache: dict[str, PathEntryFinderProtocol | None] platform: LiteralString platlibdir: str prefix: str pycache_prefix: str | None ps1: object ps2: object # TextIO is used instead of more specific types for the standard streams, # since they are often monkeypatched at runtime. At startup, the objects # are initialized to instances of TextIOWrapper, but can also be None under # some circumstances. # # To use methods from TextIOWrapper, use an isinstance check to ensure that # the streams have not been overridden: # # if isinstance(sys.stdout, io.TextIOWrapper): # sys.stdout.reconfigure(...) stdin: TextIO | MaybeNone stdout: TextIO | MaybeNone stderr: TextIO | MaybeNone if sys.version_info >= (3, 10): stdlib_module_names: frozenset[str] __stdin__: Final[TextIOWrapper | None] # Contains the original value of stdin __stdout__: Final[TextIOWrapper | None] # Contains the original value of stdout __stderr__: Final[TextIOWrapper | None] # Contains the original value of stderr tracebacklimit: int | None version: str api_version: int warnoptions: Any # Each entry is a tuple of the form (action, message, category, module, # lineno) if sys.platform == "win32": winver: str _xoptions: dict[Any, Any] # Type alias used as a mixin for structseq classes that cannot be instantiated at runtime # This can't be represented in the type system, so we just use `structseq[Any]` _UninstantiableStructseq: TypeAlias = structseq[Any] flags: _flags # This class is not exposed at runtime. It calls itself sys.flags. # As a tuple, it can have a length between 15 and 18. We don't model # the exact length here because that varies by patch version due to # the backported security fix int_max_str_digits. The exact length shouldn't # be relied upon. See #13031 # This can be re-visited when typeshed drops support for 3.10, # at which point all supported versions will include int_max_str_digits # in all patch versions. # 3.9 is 15 or 16-tuple # 3.10 is 16 or 17-tuple # 3.11+ is an 18-tuple. @final @type_check_only class _flags(_UninstantiableStructseq, tuple[int, ...]): # `safe_path` was added in py311 if sys.version_info >= (3, 11): __match_args__: Final = ( "debug", "inspect", "interactive", "optimize", "dont_write_bytecode", "no_user_site", "no_site", "ignore_environment", "verbose", "bytes_warning", "quiet", "hash_randomization", "isolated", "dev_mode", "utf8_mode", "warn_default_encoding", "safe_path", "int_max_str_digits", ) elif sys.version_info >= (3, 10): __match_args__: Final = ( "debug", "inspect", "interactive", "optimize", "dont_write_bytecode", "no_user_site", "no_site", "ignore_environment", "verbose", "bytes_warning", "quiet", "hash_randomization", "isolated", "dev_mode", "utf8_mode", "warn_default_encoding", "int_max_str_digits", ) @property def debug(self) -> int: ... @property def inspect(self) -> int: ... @property def interactive(self) -> int: ... @property def optimize(self) -> int: ... @property def dont_write_bytecode(self) -> int: ... @property def no_user_site(self) -> int: ... @property def no_site(self) -> int: ... @property def ignore_environment(self) -> int: ... @property def verbose(self) -> int: ... @property def bytes_warning(self) -> int: ... @property def quiet(self) -> int: ... @property def hash_randomization(self) -> int: ... @property def isolated(self) -> int: ... @property def dev_mode(self) -> bool: ... @property def utf8_mode(self) -> int: ... if sys.version_info >= (3, 10): @property def warn_default_encoding(self) -> int: ... if sys.version_info >= (3, 11): @property def safe_path(self) -> bool: ... if sys.version_info >= (3, 13): @property def gil(self) -> Literal[0, 1]: ... if sys.version_info >= (3, 14): @property def thread_inherit_context(self) -> Literal[0, 1]: ... @property def context_aware_warnings(self) -> Literal[0, 1]: ... # Whether or not this exists on lower versions of Python # may depend on which patch release you're using # (it was backported to all Python versions on 3.8+ as a security fix) # Added in: 3.9.14, 3.10.7 # and present in all versions of 3.11 and later. @property def int_max_str_digits(self) -> int: ... float_info: _float_info # This class is not exposed at runtime. It calls itself sys.float_info. @final @type_check_only class _float_info(structseq[float], tuple[float, int, int, float, int, int, int, int, float, int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ( "max", "max_exp", "max_10_exp", "min", "min_exp", "min_10_exp", "dig", "mant_dig", "epsilon", "radix", "rounds", ) @property def max(self) -> float: ... # DBL_MAX @property def max_exp(self) -> int: ... # DBL_MAX_EXP @property def max_10_exp(self) -> int: ... # DBL_MAX_10_EXP @property def min(self) -> float: ... # DBL_MIN @property def min_exp(self) -> int: ... # DBL_MIN_EXP @property def min_10_exp(self) -> int: ... # DBL_MIN_10_EXP @property def dig(self) -> int: ... # DBL_DIG @property def mant_dig(self) -> int: ... # DBL_MANT_DIG @property def epsilon(self) -> float: ... # DBL_EPSILON @property def radix(self) -> int: ... # FLT_RADIX @property def rounds(self) -> int: ... # FLT_ROUNDS hash_info: _hash_info # This class is not exposed at runtime. It calls itself sys.hash_info. @final @type_check_only class _hash_info(structseq[Any | int], tuple[int, int, int, int, int, str, int, int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ("width", "modulus", "inf", "nan", "imag", "algorithm", "hash_bits", "seed_bits", "cutoff") @property def width(self) -> int: ... @property def modulus(self) -> int: ... @property def inf(self) -> int: ... @property def nan(self) -> int: ... @property def imag(self) -> int: ... @property def algorithm(self) -> str: ... @property def hash_bits(self) -> int: ... @property def seed_bits(self) -> int: ... @property def cutoff(self) -> int: ... # undocumented implementation: _implementation # This class isn't really a thing. At runtime, implementation is an instance # of types.SimpleNamespace. This allows for better typing. @type_check_only class _implementation: name: str version: _version_info hexversion: int cache_tag: str # Define __getattr__, as the documentation states: # > sys.implementation may contain additional attributes specific to the Python implementation. # > These non-standard attributes must start with an underscore, and are not described here. def __getattr__(self, name: str) -> Any: ... int_info: _int_info # This class is not exposed at runtime. It calls itself sys.int_info. @final @type_check_only class _int_info(structseq[int], tuple[int, int, int, int]): if sys.version_info >= (3, 10): __match_args__: Final = ("bits_per_digit", "sizeof_digit", "default_max_str_digits", "str_digits_check_threshold") @property def bits_per_digit(self) -> int: ... @property def sizeof_digit(self) -> int: ... @property def default_max_str_digits(self) -> int: ... @property def str_digits_check_threshold(self) -> int: ... _ThreadInfoName: TypeAlias = Literal["nt", "pthread", "pthread-stubs", "solaris"] _ThreadInfoLock: TypeAlias = Literal["semaphore", "mutex+cond"] | None # This class is not exposed at runtime. It calls itself sys.thread_info. @final @type_check_only class _thread_info(_UninstantiableStructseq, tuple[_ThreadInfoName, _ThreadInfoLock, str | None]): if sys.version_info >= (3, 10): __match_args__: Final = ("name", "lock", "version") @property def name(self) -> _ThreadInfoName: ... @property def lock(self) -> _ThreadInfoLock: ... @property def version(self) -> str | None: ... thread_info: _thread_info _ReleaseLevel: TypeAlias = Literal["alpha", "beta", "candidate", "final"] # This class is not exposed at runtime. It calls itself sys.version_info. @final @type_check_only class _version_info(_UninstantiableStructseq, tuple[int, int, int, _ReleaseLevel, int]): if sys.version_info >= (3, 10): __match_args__: Final = ("major", "minor", "micro", "releaselevel", "serial") @property def major(self) -> int: ... @property def minor(self) -> int: ... @property def micro(self) -> int: ... @property def releaselevel(self) -> _ReleaseLevel: ... @property def serial(self) -> int: ... version_info: _version_info def call_tracing(func: Callable[..., _T], args: Any, /) -> _T: ... if sys.version_info >= (3, 13): @deprecated("Deprecated since Python 3.13. Use `_clear_internal_caches()` instead.") def _clear_type_cache() -> None: ... else: def _clear_type_cache() -> None: ... def _current_frames() -> dict[int, FrameType]: ... def _getframe(depth: int = 0, /) -> FrameType: ... # documented -- see https://docs.python.org/3/library/sys.html#sys._current_exceptions if sys.version_info >= (3, 12): def _current_exceptions() -> dict[int, BaseException | None]: ... else: def _current_exceptions() -> dict[int, OptExcInfo]: ... if sys.version_info >= (3, 12): def _getframemodulename(depth: int = 0) -> str | None: ... def _debugmallocstats() -> None: ... def __displayhook__(object: object, /) -> None: ... def __excepthook__(exctype: type[BaseException], value: BaseException, traceback: TracebackType | None, /) -> None: ... def exc_info() -> OptExcInfo: ... if sys.version_info >= (3, 11): def exception() -> BaseException | None: ... def exit(status: _ExitCode = None, /) -> NoReturn: ... if sys.platform == "android": # noqa: Y008 def getandroidapilevel() -> int: ... def getallocatedblocks() -> int: ... def getdefaultencoding() -> Literal["utf-8"]: ... if sys.platform != "win32": def getdlopenflags() -> int: ... def getfilesystemencoding() -> LiteralString: ... def getfilesystemencodeerrors() -> LiteralString: ... def getrefcount(object: Any, /) -> int: ... def getrecursionlimit() -> int: ... def getsizeof(obj: object, default: int = ...) -> int: ... def getswitchinterval() -> float: ... def getprofile() -> ProfileFunction | None: ... def setprofile(function: ProfileFunction | None, /) -> None: ... def gettrace() -> TraceFunction | None: ... def settrace(function: TraceFunction | None, /) -> None: ... if sys.platform == "win32": # A tuple of length 5, even though it has more than 5 attributes. @final @type_check_only class _WinVersion(_UninstantiableStructseq, tuple[int, int, int, int, str]): @property def major(self) -> int: ... @property def minor(self) -> int: ... @property def build(self) -> int: ... @property def platform(self) -> int: ... @property def service_pack(self) -> str: ... @property def service_pack_minor(self) -> int: ... @property def service_pack_major(self) -> int: ... @property def suite_mask(self) -> int: ... @property def product_type(self) -> int: ... @property def platform_version(self) -> tuple[int, int, int]: ... def getwindowsversion() -> _WinVersion: ... @overload def intern(string: LiteralString, /) -> LiteralString: ... @overload def intern(string: str, /) -> str: ... # type: ignore[misc] __interactivehook__: Callable[[], object] if sys.version_info >= (3, 13): def _is_gil_enabled() -> bool: ... def _clear_internal_caches() -> None: ... def _is_interned(string: str, /) -> bool: ... def is_finalizing() -> bool: ... def breakpointhook(*args: Any, **kwargs: Any) -> Any: ... __breakpointhook__ = breakpointhook # Contains the original value of breakpointhook if sys.platform != "win32": def setdlopenflags(flags: int, /) -> None: ... def setrecursionlimit(limit: int, /) -> None: ... def setswitchinterval(interval: float, /) -> None: ... def gettotalrefcount() -> int: ... # Debug builds only # Doesn't exist at runtime, but exported in the stubs so pytest etc. can annotate their code more easily. @type_check_only class UnraisableHookArgs(Protocol): exc_type: type[BaseException] exc_value: BaseException | None exc_traceback: TracebackType | None err_msg: str | None object: _object unraisablehook: Callable[[UnraisableHookArgs], Any] def __unraisablehook__(unraisable: UnraisableHookArgs, /) -> Any: ... def addaudithook(hook: Callable[[str, tuple[Any, ...]], Any]) -> None: ... def audit(event: str, /, *args: Any) -> None: ... _AsyncgenHook: TypeAlias = Callable[[AsyncGenerator[Any, Any]], None] | None # This class is not exposed at runtime. It calls itself builtins.asyncgen_hooks. @final @type_check_only class _asyncgen_hooks(structseq[_AsyncgenHook], tuple[_AsyncgenHook, _AsyncgenHook]): if sys.version_info >= (3, 10): __match_args__: Final = ("firstiter", "finalizer") @property def firstiter(self) -> _AsyncgenHook: ... @property def finalizer(self) -> _AsyncgenHook: ... def get_asyncgen_hooks() -> _asyncgen_hooks: ... def set_asyncgen_hooks(firstiter: _AsyncgenHook = ..., finalizer: _AsyncgenHook = ...) -> None: ... if sys.platform == "win32": if sys.version_info >= (3, 13): @deprecated( "Deprecated since Python 3.13; will be removed in Python 3.16. " "Use the `PYTHONLEGACYWINDOWSFSENCODING` environment variable instead." ) def _enablelegacywindowsfsencoding() -> None: ... else: def _enablelegacywindowsfsencoding() -> None: ... def get_coroutine_origin_tracking_depth() -> int: ... def set_coroutine_origin_tracking_depth(depth: int) -> None: ... # The following two functions were added in 3.11.0, 3.10.7, and 3.9.14, # as part of the response to CVE-2020-10735 def set_int_max_str_digits(maxdigits: int) -> None: ... def get_int_max_str_digits() -> int: ... if sys.version_info >= (3, 12): if sys.version_info >= (3, 13): def getunicodeinternedsize(*, _only_immortal: bool = False) -> int: ... else: def getunicodeinternedsize() -> int: ... def deactivate_stack_trampoline() -> None: ... def is_stack_trampoline_active() -> bool: ... # It always exists, but raises on non-linux platforms: if sys.platform == "linux": def activate_stack_trampoline(backend: str, /) -> None: ... else: def activate_stack_trampoline(backend: str, /) -> NoReturn: ... from . import _monitoring monitoring = _monitoring if sys.version_info >= (3, 14): def is_remote_debug_enabled() -> bool: ... def remote_exec(pid: int, script: StrOrBytesPath) -> None: ... def _is_immortal(op: object, /) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sys/_monitoring.pyi0000644000175100017510000000410015112307767022243 0ustar00runnerrunner# This py312+ module provides annotations for `sys.monitoring`. # It's named `sys._monitoring` in typeshed, # because trying to import `sys.monitoring` will fail at runtime! # At runtime, `sys.monitoring` has the unique status # of being a `types.ModuleType` instance that cannot be directly imported, # and exists in the `sys`-module namespace despite `sys` not being a package. import sys from collections.abc import Callable from types import CodeType from typing import Any, Final, type_check_only from typing_extensions import deprecated DEBUGGER_ID: Final = 0 COVERAGE_ID: Final = 1 PROFILER_ID: Final = 2 OPTIMIZER_ID: Final = 5 def use_tool_id(tool_id: int, name: str, /) -> None: ... if sys.version_info >= (3, 14): def clear_tool_id(tool_id: int, /) -> None: ... def free_tool_id(tool_id: int, /) -> None: ... def get_tool(tool_id: int, /) -> str | None: ... events: Final[_events] @type_check_only class _events: CALL: Final[int] C_RAISE: Final[int] C_RETURN: Final[int] EXCEPTION_HANDLED: Final[int] INSTRUCTION: Final[int] JUMP: Final[int] LINE: Final[int] NO_EVENTS: Final[int] PY_RESUME: Final[int] PY_RETURN: Final[int] PY_START: Final[int] PY_THROW: Final[int] PY_UNWIND: Final[int] PY_YIELD: Final[int] RAISE: Final[int] RERAISE: Final[int] STOP_ITERATION: Final[int] if sys.version_info >= (3, 14): BRANCH_LEFT: Final[int] BRANCH_RIGHT: Final[int] @property @deprecated("Deprecated since Python 3.14. Use `BRANCH_LEFT` or `BRANCH_RIGHT` instead.") def BRANCH(self) -> int: ... else: BRANCH: Final[int] def get_events(tool_id: int, /) -> int: ... def set_events(tool_id: int, event_set: int, /) -> None: ... def get_local_events(tool_id: int, code: CodeType, /) -> int: ... def set_local_events(tool_id: int, code: CodeType, event_set: int, /) -> int: ... def restart_events() -> None: ... DISABLE: Final[object] MISSING: Final[object] def register_callback(tool_id: int, event: int, func: Callable[..., Any] | None, /) -> Callable[..., Any] | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/sysconfig.pyi0000644000175100017510000000341615112307767021116 0ustar00runnerrunnerimport sys from typing import IO, Any, Literal, overload from typing_extensions import LiteralString, deprecated __all__ = [ "get_config_h_filename", "get_config_var", "get_config_vars", "get_makefile_filename", "get_path", "get_path_names", "get_paths", "get_platform", "get_python_version", "get_scheme_names", "parse_config_h", ] @overload @deprecated("SO is deprecated, use EXT_SUFFIX. Support is removed in Python 3.11") def get_config_var(name: Literal["SO"]) -> Any: ... @overload def get_config_var(name: str) -> Any: ... @overload def get_config_vars() -> dict[str, Any]: ... @overload def get_config_vars(arg: str, /, *args: str) -> list[Any]: ... def get_scheme_names() -> tuple[str, ...]: ... if sys.version_info >= (3, 10): def get_default_scheme() -> LiteralString: ... def get_preferred_scheme(key: Literal["prefix", "home", "user"]) -> LiteralString: ... # Documented -- see https://docs.python.org/3/library/sysconfig.html#sysconfig._get_preferred_schemes def _get_preferred_schemes() -> dict[Literal["prefix", "home", "user"], LiteralString]: ... def get_path_names() -> tuple[str, ...]: ... def get_path(name: str, scheme: str = ..., vars: dict[str, Any] | None = None, expand: bool = True) -> str: ... def get_paths(scheme: str = ..., vars: dict[str, Any] | None = None, expand: bool = True) -> dict[str, str]: ... def get_python_version() -> str: ... def get_platform() -> str: ... if sys.version_info >= (3, 11): def is_python_build(check_home: object = None) -> bool: ... else: def is_python_build(check_home: bool = False) -> bool: ... def parse_config_h(fp: IO[Any], vars: dict[str, Any] | None = None) -> dict[str, Any]: ... def get_config_h_filename() -> str: ... def get_makefile_filename() -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/syslog.pyi0000644000175100017510000000307715112307767020435 0ustar00runnerrunnerimport sys from typing import Final, overload if sys.platform != "win32": LOG_ALERT: Final = 1 LOG_AUTH: Final = 32 LOG_AUTHPRIV: Final = 80 LOG_CONS: Final = 2 LOG_CRIT: Final = 2 LOG_CRON: Final = 72 LOG_DAEMON: Final = 24 LOG_DEBUG: Final = 7 LOG_EMERG: Final = 0 LOG_ERR: Final = 3 LOG_INFO: Final = 6 LOG_KERN: Final = 0 LOG_LOCAL0: Final = 128 LOG_LOCAL1: Final = 136 LOG_LOCAL2: Final = 144 LOG_LOCAL3: Final = 152 LOG_LOCAL4: Final = 160 LOG_LOCAL5: Final = 168 LOG_LOCAL6: Final = 176 LOG_LOCAL7: Final = 184 LOG_LPR: Final = 48 LOG_MAIL: Final = 16 LOG_NDELAY: Final = 8 LOG_NEWS: Final = 56 LOG_NOTICE: Final = 5 LOG_NOWAIT: Final = 16 LOG_ODELAY: Final = 4 LOG_PERROR: Final = 32 LOG_PID: Final = 1 LOG_SYSLOG: Final = 40 LOG_USER: Final = 8 LOG_UUCP: Final = 64 LOG_WARNING: Final = 4 if sys.version_info >= (3, 13): LOG_FTP: Final = 88 if sys.platform == "darwin": LOG_INSTALL: Final = 112 LOG_LAUNCHD: Final = 192 LOG_NETINFO: Final = 96 LOG_RAS: Final = 120 LOG_REMOTEAUTH: Final = 104 def LOG_MASK(pri: int, /) -> int: ... def LOG_UPTO(pri: int, /) -> int: ... def closelog() -> None: ... def openlog(ident: str = ..., logoption: int = ..., facility: int = ...) -> None: ... def setlogmask(maskpri: int, /) -> int: ... @overload def syslog(priority: int, message: str) -> None: ... @overload def syslog(message: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tabnanny.pyi0000644000175100017510000000100215112307767020711 0ustar00runnerrunnerfrom _typeshed import StrOrBytesPath from collections.abc import Iterable __all__ = ["check", "NannyNag", "process_tokens"] verbose: int filename_only: int class NannyNag(Exception): def __init__(self, lineno: int, msg: str, line: str) -> None: ... def get_lineno(self) -> int: ... def get_msg(self) -> str: ... def get_line(self) -> str: ... def check(file: StrOrBytesPath) -> None: ... def process_tokens(tokens: Iterable[tuple[int, str, tuple[int, int], tuple[int, int], str]]) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tarfile.pyi0000644000175100017510000006650615112307767020551 0ustar00runnerrunnerimport bz2 import io import sys from _typeshed import ReadableBuffer, StrOrBytesPath, StrPath, SupportsRead, WriteableBuffer from builtins import list as _list # aliases to avoid name clashes with fields named "type" or "list" from collections.abc import Callable, Iterable, Iterator, Mapping from gzip import _ReadableFileobj as _GzipReadableFileobj, _WritableFileobj as _GzipWritableFileobj from types import TracebackType from typing import IO, ClassVar, Final, Literal, Protocol, overload, type_check_only from typing_extensions import Self, TypeAlias, deprecated if sys.version_info >= (3, 14): from compression.zstd import ZstdDict __all__ = [ "TarFile", "TarInfo", "is_tarfile", "TarError", "ReadError", "CompressionError", "StreamError", "ExtractError", "HeaderError", "ENCODING", "USTAR_FORMAT", "GNU_FORMAT", "PAX_FORMAT", "DEFAULT_FORMAT", "open", ] if sys.version_info >= (3, 12): __all__ += [ "fully_trusted_filter", "data_filter", "tar_filter", "FilterError", "AbsoluteLinkError", "OutsideDestinationError", "SpecialFileError", "AbsolutePathError", "LinkOutsideDestinationError", ] if sys.version_info >= (3, 13): __all__ += ["LinkFallbackError"] _FilterFunction: TypeAlias = Callable[[TarInfo, str], TarInfo | None] _TarfileFilter: TypeAlias = Literal["fully_trusted", "tar", "data"] | _FilterFunction @type_check_only class _Fileobj(Protocol): def read(self, size: int, /) -> bytes: ... def write(self, b: bytes, /) -> object: ... def tell(self) -> int: ... def seek(self, pos: int, /) -> object: ... def close(self) -> object: ... # Optional fields: # name: str | bytes # mode: Literal["rb", "r+b", "wb", "xb"] @type_check_only class _Bz2ReadableFileobj(bz2._ReadableFileobj): def close(self) -> object: ... @type_check_only class _Bz2WritableFileobj(bz2._WritableFileobj): def close(self) -> object: ... # tar constants NUL: Final = b"\0" BLOCKSIZE: Final = 512 RECORDSIZE: Final = 10240 GNU_MAGIC: Final = b"ustar \0" POSIX_MAGIC: Final = b"ustar\x0000" LENGTH_NAME: Final = 100 LENGTH_LINK: Final = 100 LENGTH_PREFIX: Final = 155 REGTYPE: Final = b"0" AREGTYPE: Final = b"\0" LNKTYPE: Final = b"1" SYMTYPE: Final = b"2" CHRTYPE: Final = b"3" BLKTYPE: Final = b"4" DIRTYPE: Final = b"5" FIFOTYPE: Final = b"6" CONTTYPE: Final = b"7" GNUTYPE_LONGNAME: Final = b"L" GNUTYPE_LONGLINK: Final = b"K" GNUTYPE_SPARSE: Final = b"S" XHDTYPE: Final = b"x" XGLTYPE: Final = b"g" SOLARIS_XHDTYPE: Final = b"X" _TarFormat: TypeAlias = Literal[0, 1, 2] # does not exist at runtime USTAR_FORMAT: Final = 0 GNU_FORMAT: Final = 1 PAX_FORMAT: Final = 2 DEFAULT_FORMAT: Final = PAX_FORMAT # tarfile constants SUPPORTED_TYPES: Final[tuple[bytes, ...]] REGULAR_TYPES: Final[tuple[bytes, ...]] GNU_TYPES: Final[tuple[bytes, ...]] PAX_FIELDS: Final[tuple[str, ...]] PAX_NUMBER_FIELDS: Final[dict[str, type]] PAX_NAME_FIELDS: Final[set[str]] ENCODING: Final[str] class ExFileObject(io.BufferedReader): # undocumented def __init__(self, tarfile: TarFile, tarinfo: TarInfo) -> None: ... class TarFile: OPEN_METH: ClassVar[Mapping[str, str]] name: StrOrBytesPath | None mode: Literal["r", "a", "w", "x"] fileobj: _Fileobj | None format: _TarFormat | None tarinfo: type[TarInfo] dereference: bool | None ignore_zeros: bool | None encoding: str | None errors: str fileobject: type[ExFileObject] # undocumented pax_headers: Mapping[str, str] | None debug: int | None errorlevel: int | None offset: int # undocumented extraction_filter: _FilterFunction | None if sys.version_info >= (3, 13): stream: bool def __init__( self, name: StrOrBytesPath | None = None, mode: Literal["r", "a", "w", "x"] = "r", fileobj: _Fileobj | None = None, format: int | None = None, tarinfo: type[TarInfo] | None = None, dereference: bool | None = None, ignore_zeros: bool | None = None, encoding: str | None = None, errors: str = "surrogateescape", pax_headers: Mapping[str, str] | None = None, debug: int | None = None, errorlevel: int | None = None, copybufsize: int | None = None, # undocumented stream: bool = False, ) -> None: ... else: def __init__( self, name: StrOrBytesPath | None = None, mode: Literal["r", "a", "w", "x"] = "r", fileobj: _Fileobj | None = None, format: int | None = None, tarinfo: type[TarInfo] | None = None, dereference: bool | None = None, ignore_zeros: bool | None = None, encoding: str | None = None, errors: str = "surrogateescape", pax_headers: Mapping[str, str] | None = None, debug: int | None = None, errorlevel: int | None = None, copybufsize: int | None = None, # undocumented ) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... def __iter__(self) -> Iterator[TarInfo]: ... @overload @classmethod def open( cls, name: StrOrBytesPath | None = None, mode: Literal["r", "r:*", "r:", "r:gz", "r:bz2", "r:xz"] = "r", fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... if sys.version_info >= (3, 14): @overload @classmethod def open( cls, name: StrOrBytesPath | None, mode: Literal["r:zst"], fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., level: None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | None, mode: Literal["x", "x:", "a", "a:", "w", "w:", "w:tar"], fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | None = None, *, mode: Literal["x", "x:", "a", "a:", "w", "w:", "w:tar"], fileobj: _Fileobj | None = None, bufsize: int = 10240, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | None, mode: Literal["x:gz", "x:bz2", "w:gz", "w:bz2"], fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., compresslevel: int = 9, ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | None = None, *, mode: Literal["x:gz", "x:bz2", "w:gz", "w:bz2"], fileobj: _Fileobj | None = None, bufsize: int = 10240, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., compresslevel: int = 9, ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | None, mode: Literal["x:xz", "w:xz"], fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., preset: Literal[0, 1, 2, 3, 4, 5, 6, 7, 8, 9] | None = ..., ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | None = None, *, mode: Literal["x:xz", "w:xz"], fileobj: _Fileobj | None = None, bufsize: int = 10240, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., preset: Literal[0, 1, 2, 3, 4, 5, 6, 7, 8, 9] | None = ..., ) -> Self: ... if sys.version_info >= (3, 14): @overload @classmethod def open( cls, name: StrOrBytesPath | None, mode: Literal["x:zst", "w:zst"], fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | None = None, *, mode: Literal["x:zst", "w:zst"], fileobj: _Fileobj | None = None, bufsize: int = 10240, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | ReadableBuffer | None, mode: Literal["r|*", "r|", "r|gz", "r|bz2", "r|xz", "r|zst"], fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | ReadableBuffer | None = None, *, mode: Literal["r|*", "r|", "r|gz", "r|bz2", "r|xz", "r|zst"], fileobj: _Fileobj | None = None, bufsize: int = 10240, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | WriteableBuffer | None, mode: Literal["w|", "w|xz", "w|zst"], fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | WriteableBuffer | None = None, *, mode: Literal["w|", "w|xz", "w|zst"], fileobj: _Fileobj | None = None, bufsize: int = 10240, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | WriteableBuffer | None, mode: Literal["w|gz", "w|bz2"], fileobj: _Fileobj | None = None, bufsize: int = 10240, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., compresslevel: int = 9, ) -> Self: ... @overload @classmethod def open( cls, name: StrOrBytesPath | WriteableBuffer | None = None, *, mode: Literal["w|gz", "w|bz2"], fileobj: _Fileobj | None = None, bufsize: int = 10240, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., errors: str = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., compresslevel: int = 9, ) -> Self: ... @classmethod def taropen( cls, name: StrOrBytesPath | None, mode: Literal["r", "a", "w", "x"] = "r", fileobj: _Fileobj | None = None, *, compresslevel: int = ..., format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def gzopen( cls, name: StrOrBytesPath | None, mode: Literal["r"] = "r", fileobj: _GzipReadableFileobj | None = None, compresslevel: int = 9, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def gzopen( cls, name: StrOrBytesPath | None, mode: Literal["w", "x"], fileobj: _GzipWritableFileobj | None = None, compresslevel: int = 9, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def bz2open( cls, name: StrOrBytesPath | None, mode: Literal["w", "x"], fileobj: _Bz2WritableFileobj | None = None, compresslevel: int = 9, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def bz2open( cls, name: StrOrBytesPath | None, mode: Literal["r"] = "r", fileobj: _Bz2ReadableFileobj | None = None, compresslevel: int = 9, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @classmethod def xzopen( cls, name: StrOrBytesPath | None, mode: Literal["r", "w", "x"] = "r", fileobj: IO[bytes] | None = None, preset: int | None = None, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... if sys.version_info >= (3, 14): @overload @classmethod def zstopen( cls, name: StrOrBytesPath | None, mode: Literal["r"] = "r", fileobj: IO[bytes] | None = None, level: None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... @overload @classmethod def zstopen( cls, name: StrOrBytesPath | None, mode: Literal["w", "x"], fileobj: IO[bytes] | None = None, level: int | None = None, options: Mapping[int, int] | None = None, zstd_dict: ZstdDict | None = None, *, format: int | None = ..., tarinfo: type[TarInfo] | None = ..., dereference: bool | None = ..., ignore_zeros: bool | None = ..., encoding: str | None = ..., pax_headers: Mapping[str, str] | None = ..., debug: int | None = ..., errorlevel: int | None = ..., ) -> Self: ... def getmember(self, name: str) -> TarInfo: ... def getmembers(self) -> _list[TarInfo]: ... def getnames(self) -> _list[str]: ... def list(self, verbose: bool = True, *, members: Iterable[TarInfo] | None = None) -> None: ... def next(self) -> TarInfo | None: ... # Calling this method without `filter` is deprecated, but it may be set either on the class or in an # individual call, so we can't mark it as @deprecated here. def extractall( self, path: StrOrBytesPath = ".", members: Iterable[TarInfo] | None = None, *, numeric_owner: bool = False, filter: _TarfileFilter | None = None, ) -> None: ... # Same situation as for `extractall`. def extract( self, member: str | TarInfo, path: StrOrBytesPath = "", set_attrs: bool = True, *, numeric_owner: bool = False, filter: _TarfileFilter | None = None, ) -> None: ... def _extract_member( self, tarinfo: TarInfo, targetpath: str, set_attrs: bool = True, numeric_owner: bool = False, *, filter_function: _FilterFunction | None = None, extraction_root: str | None = None, ) -> None: ... # undocumented def extractfile(self, member: str | TarInfo) -> IO[bytes] | None: ... def makedir(self, tarinfo: TarInfo, targetpath: StrOrBytesPath) -> None: ... # undocumented def makefile(self, tarinfo: TarInfo, targetpath: StrOrBytesPath) -> None: ... # undocumented def makeunknown(self, tarinfo: TarInfo, targetpath: StrOrBytesPath) -> None: ... # undocumented def makefifo(self, tarinfo: TarInfo, targetpath: StrOrBytesPath) -> None: ... # undocumented def makedev(self, tarinfo: TarInfo, targetpath: StrOrBytesPath) -> None: ... # undocumented def makelink(self, tarinfo: TarInfo, targetpath: StrOrBytesPath) -> None: ... # undocumented def makelink_with_filter( self, tarinfo: TarInfo, targetpath: StrOrBytesPath, filter_function: _FilterFunction, extraction_root: str ) -> None: ... # undocumented def chown(self, tarinfo: TarInfo, targetpath: StrOrBytesPath, numeric_owner: bool) -> None: ... # undocumented def chmod(self, tarinfo: TarInfo, targetpath: StrOrBytesPath) -> None: ... # undocumented def utime(self, tarinfo: TarInfo, targetpath: StrOrBytesPath) -> None: ... # undocumented def add( self, name: StrPath, arcname: StrPath | None = None, recursive: bool = True, *, filter: Callable[[TarInfo], TarInfo | None] | None = None, ) -> None: ... def addfile(self, tarinfo: TarInfo, fileobj: SupportsRead[bytes] | None = None) -> None: ... def gettarinfo( self, name: StrOrBytesPath | None = None, arcname: str | None = None, fileobj: IO[bytes] | None = None ) -> TarInfo: ... def close(self) -> None: ... open = TarFile.open def is_tarfile(name: StrOrBytesPath | IO[bytes]) -> bool: ... class TarError(Exception): ... class ReadError(TarError): ... class CompressionError(TarError): ... class StreamError(TarError): ... class ExtractError(TarError): ... class HeaderError(TarError): ... class FilterError(TarError): # This attribute is only set directly on the subclasses, but the documentation guarantees # that it is always present on FilterError. tarinfo: TarInfo class AbsolutePathError(FilterError): def __init__(self, tarinfo: TarInfo) -> None: ... class OutsideDestinationError(FilterError): def __init__(self, tarinfo: TarInfo, path: str) -> None: ... class SpecialFileError(FilterError): def __init__(self, tarinfo: TarInfo) -> None: ... class AbsoluteLinkError(FilterError): def __init__(self, tarinfo: TarInfo) -> None: ... class LinkOutsideDestinationError(FilterError): def __init__(self, tarinfo: TarInfo, path: str) -> None: ... class LinkFallbackError(FilterError): def __init__(self, tarinfo: TarInfo, path: str) -> None: ... def fully_trusted_filter(member: TarInfo, dest_path: str) -> TarInfo: ... def tar_filter(member: TarInfo, dest_path: str) -> TarInfo: ... def data_filter(member: TarInfo, dest_path: str) -> TarInfo: ... class TarInfo: __slots__ = ( "name", "mode", "uid", "gid", "size", "mtime", "chksum", "type", "linkname", "uname", "gname", "devmajor", "devminor", "offset", "offset_data", "pax_headers", "sparse", "_tarfile", "_sparse_structs", "_link_target", ) name: str path: str size: int mtime: int | float chksum: int devmajor: int devminor: int offset: int offset_data: int sparse: bytes | None mode: int type: bytes # usually one of the TYPE constants, but could be an arbitrary byte linkname: str uid: int gid: int uname: str gname: str pax_headers: Mapping[str, str] def __init__(self, name: str = "") -> None: ... if sys.version_info >= (3, 13): @property @deprecated("Deprecated since Python 3.13; will be removed in Python 3.16.") def tarfile(self) -> TarFile | None: ... @tarfile.setter @deprecated("Deprecated since Python 3.13; will be removed in Python 3.16.") def tarfile(self, tarfile: TarFile | None) -> None: ... else: tarfile: TarFile | None @classmethod def frombuf(cls, buf: bytes | bytearray, encoding: str, errors: str) -> Self: ... @classmethod def fromtarfile(cls, tarfile: TarFile) -> Self: ... @property def linkpath(self) -> str: ... @linkpath.setter def linkpath(self, linkname: str) -> None: ... def replace( self, *, name: str = ..., mtime: float = ..., mode: int = ..., linkname: str = ..., uid: int = ..., gid: int = ..., uname: str = ..., gname: str = ..., deep: bool = True, ) -> Self: ... def get_info(self) -> Mapping[str, str | int | bytes | Mapping[str, str]]: ... def tobuf(self, format: _TarFormat | None = 2, encoding: str | None = "utf-8", errors: str = "surrogateescape") -> bytes: ... def create_ustar_header( self, info: Mapping[str, str | int | bytes | Mapping[str, str]], encoding: str, errors: str ) -> bytes: ... def create_gnu_header( self, info: Mapping[str, str | int | bytes | Mapping[str, str]], encoding: str, errors: str ) -> bytes: ... def create_pax_header(self, info: Mapping[str, str | int | bytes | Mapping[str, str]], encoding: str) -> bytes: ... @classmethod def create_pax_global_header(cls, pax_headers: Mapping[str, str]) -> bytes: ... def isfile(self) -> bool: ... def isreg(self) -> bool: ... def issparse(self) -> bool: ... def isdir(self) -> bool: ... def issym(self) -> bool: ... def islnk(self) -> bool: ... def ischr(self) -> bool: ... def isblk(self) -> bool: ... def isfifo(self) -> bool: ... def isdev(self) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/telnetlib.pyi0000644000175100017510000000707015112307767021074 0ustar00runnerrunnerimport socket from collections.abc import Callable, MutableSequence, Sequence from re import Match, Pattern from types import TracebackType from typing import Any, Final from typing_extensions import Self __all__ = ["Telnet"] DEBUGLEVEL: Final = 0 TELNET_PORT: Final = 23 IAC: Final = b"\xff" DONT: Final = b"\xfe" DO: Final = b"\xfd" WONT: Final = b"\xfc" WILL: Final = b"\xfb" theNULL: Final = b"\x00" SE: Final = b"\xf0" NOP: Final = b"\xf1" DM: Final = b"\xf2" BRK: Final = b"\xf3" IP: Final = b"\xf4" AO: Final = b"\xf5" AYT: Final = b"\xf6" EC: Final = b"\xf7" EL: Final = b"\xf8" GA: Final = b"\xf9" SB: Final = b"\xfa" BINARY: Final = b"\x00" ECHO: Final = b"\x01" RCP: Final = b"\x02" SGA: Final = b"\x03" NAMS: Final = b"\x04" STATUS: Final = b"\x05" TM: Final = b"\x06" RCTE: Final = b"\x07" NAOL: Final = b"\x08" NAOP: Final = b"\t" NAOCRD: Final = b"\n" NAOHTS: Final = b"\x0b" NAOHTD: Final = b"\x0c" NAOFFD: Final = b"\r" NAOVTS: Final = b"\x0e" NAOVTD: Final = b"\x0f" NAOLFD: Final = b"\x10" XASCII: Final = b"\x11" LOGOUT: Final = b"\x12" BM: Final = b"\x13" DET: Final = b"\x14" SUPDUP: Final = b"\x15" SUPDUPOUTPUT: Final = b"\x16" SNDLOC: Final = b"\x17" TTYPE: Final = b"\x18" EOR: Final = b"\x19" TUID: Final = b"\x1a" OUTMRK: Final = b"\x1b" TTYLOC: Final = b"\x1c" VT3270REGIME: Final = b"\x1d" X3PAD: Final = b"\x1e" NAWS: Final = b"\x1f" TSPEED: Final = b" " LFLOW: Final = b"!" LINEMODE: Final = b'"' XDISPLOC: Final = b"#" OLD_ENVIRON: Final = b"$" AUTHENTICATION: Final = b"%" ENCRYPT: Final = b"&" NEW_ENVIRON: Final = b"'" TN3270E: Final = b"(" XAUTH: Final = b")" CHARSET: Final = b"*" RSP: Final = b"+" COM_PORT_OPTION: Final = b"," SUPPRESS_LOCAL_ECHO: Final = b"-" TLS: Final = b"." KERMIT: Final = b"/" SEND_URL: Final = b"0" FORWARD_X: Final = b"1" PRAGMA_LOGON: Final = b"\x8a" SSPI_LOGON: Final = b"\x8b" PRAGMA_HEARTBEAT: Final = b"\x8c" EXOPL: Final = b"\xff" NOOPT: Final = b"\x00" class Telnet: host: str | None # undocumented sock: socket.socket | None # undocumented def __init__(self, host: str | None = None, port: int = 0, timeout: float = ...) -> None: ... def open(self, host: str, port: int = 0, timeout: float = ...) -> None: ... def msg(self, msg: str, *args: Any) -> None: ... def set_debuglevel(self, debuglevel: int) -> None: ... def close(self) -> None: ... def get_socket(self) -> socket.socket: ... def fileno(self) -> int: ... def write(self, buffer: bytes) -> None: ... def read_until(self, match: bytes, timeout: float | None = None) -> bytes: ... def read_all(self) -> bytes: ... def read_some(self) -> bytes: ... def read_very_eager(self) -> bytes: ... def read_eager(self) -> bytes: ... def read_lazy(self) -> bytes: ... def read_very_lazy(self) -> bytes: ... def read_sb_data(self) -> bytes: ... def set_option_negotiation_callback(self, callback: Callable[[socket.socket, bytes, bytes], object] | None) -> None: ... def process_rawq(self) -> None: ... def rawq_getchar(self) -> bytes: ... def fill_rawq(self) -> None: ... def sock_avail(self) -> bool: ... def interact(self) -> None: ... def mt_interact(self) -> None: ... def listener(self) -> None: ... def expect( self, list: MutableSequence[Pattern[bytes] | bytes] | Sequence[Pattern[bytes]], timeout: float | None = None ) -> tuple[int, Match[bytes] | None, bytes]: ... def __enter__(self) -> Self: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... def __del__(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tempfile.pyi0000644000175100017510000004031715112307767020720 0ustar00runnerrunnerimport io import sys from _typeshed import ( BytesPath, GenericPath, OpenBinaryMode, OpenBinaryModeReading, OpenBinaryModeUpdating, OpenBinaryModeWriting, OpenTextMode, ReadableBuffer, StrPath, WriteableBuffer, ) from collections.abc import Iterable, Iterator from types import GenericAlias, TracebackType from typing import IO, Any, AnyStr, Final, Generic, Literal, overload from typing_extensions import Self, deprecated __all__ = [ "NamedTemporaryFile", "TemporaryFile", "SpooledTemporaryFile", "TemporaryDirectory", "mkstemp", "mkdtemp", "mktemp", "TMP_MAX", "gettempprefix", "tempdir", "gettempdir", "gettempprefixb", "gettempdirb", ] # global variables TMP_MAX: Final[int] tempdir: str | None template: str if sys.version_info >= (3, 12): @overload def NamedTemporaryFile( mode: OpenTextMode, buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, delete: bool = True, *, errors: str | None = None, delete_on_close: bool = True, ) -> _TemporaryFileWrapper[str]: ... @overload def NamedTemporaryFile( mode: OpenBinaryMode = "w+b", buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, delete: bool = True, *, errors: str | None = None, delete_on_close: bool = True, ) -> _TemporaryFileWrapper[bytes]: ... @overload def NamedTemporaryFile( mode: str = "w+b", buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, delete: bool = True, *, errors: str | None = None, delete_on_close: bool = True, ) -> _TemporaryFileWrapper[Any]: ... else: @overload def NamedTemporaryFile( mode: OpenTextMode, buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, delete: bool = True, *, errors: str | None = None, ) -> _TemporaryFileWrapper[str]: ... @overload def NamedTemporaryFile( mode: OpenBinaryMode = "w+b", buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, delete: bool = True, *, errors: str | None = None, ) -> _TemporaryFileWrapper[bytes]: ... @overload def NamedTemporaryFile( mode: str = "w+b", buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, delete: bool = True, *, errors: str | None = None, ) -> _TemporaryFileWrapper[Any]: ... if sys.platform == "win32": TemporaryFile = NamedTemporaryFile else: # See the comments for builtins.open() for an explanation of the overloads. @overload def TemporaryFile( mode: OpenTextMode, buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, *, errors: str | None = None, ) -> io.TextIOWrapper: ... @overload def TemporaryFile( mode: OpenBinaryMode, buffering: Literal[0], encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, *, errors: str | None = None, ) -> io.FileIO: ... @overload def TemporaryFile( *, buffering: Literal[0], encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, errors: str | None = None, ) -> io.FileIO: ... @overload def TemporaryFile( mode: OpenBinaryModeWriting, buffering: Literal[-1, 1] = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, *, errors: str | None = None, ) -> io.BufferedWriter: ... @overload def TemporaryFile( mode: OpenBinaryModeReading, buffering: Literal[-1, 1] = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, *, errors: str | None = None, ) -> io.BufferedReader: ... @overload def TemporaryFile( mode: OpenBinaryModeUpdating = "w+b", buffering: Literal[-1, 1] = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, *, errors: str | None = None, ) -> io.BufferedRandom: ... @overload def TemporaryFile( mode: str = "w+b", buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: AnyStr | None = None, prefix: AnyStr | None = None, dir: GenericPath[AnyStr] | None = None, *, errors: str | None = None, ) -> IO[Any]: ... class _TemporaryFileWrapper(IO[AnyStr]): file: IO[AnyStr] # io.TextIOWrapper, io.BufferedReader or io.BufferedWriter name: str delete: bool if sys.version_info >= (3, 12): def __init__(self, file: IO[AnyStr], name: str, delete: bool = True, delete_on_close: bool = True) -> None: ... else: def __init__(self, file: IO[AnyStr], name: str, delete: bool = True) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, exc: type[BaseException] | None, value: BaseException | None, tb: TracebackType | None) -> None: ... def __getattr__(self, name: str) -> Any: ... def close(self) -> None: ... # These methods don't exist directly on this object, but # are delegated to the underlying IO object through __getattr__. # We need to add them here so that this class is concrete. def __iter__(self) -> Iterator[AnyStr]: ... # FIXME: __next__ doesn't actually exist on this class and should be removed: # see also https://github.com/python/typeshed/pull/5456#discussion_r633068648 # >>> import tempfile # >>> ntf=tempfile.NamedTemporaryFile() # >>> next(ntf) # Traceback (most recent call last): # File "", line 1, in # TypeError: '_TemporaryFileWrapper' object is not an iterator def __next__(self) -> AnyStr: ... def fileno(self) -> int: ... def flush(self) -> None: ... def isatty(self) -> bool: ... def read(self, n: int = ...) -> AnyStr: ... def readable(self) -> bool: ... def readline(self, limit: int = ...) -> AnyStr: ... def readlines(self, hint: int = ...) -> list[AnyStr]: ... def seek(self, offset: int, whence: int = ...) -> int: ... def seekable(self) -> bool: ... def tell(self) -> int: ... def truncate(self, size: int | None = ...) -> int: ... def writable(self) -> bool: ... @overload def write(self: _TemporaryFileWrapper[str], s: str, /) -> int: ... @overload def write(self: _TemporaryFileWrapper[bytes], s: ReadableBuffer, /) -> int: ... @overload def write(self, s: AnyStr, /) -> int: ... @overload def writelines(self: _TemporaryFileWrapper[str], lines: Iterable[str]) -> None: ... @overload def writelines(self: _TemporaryFileWrapper[bytes], lines: Iterable[ReadableBuffer]) -> None: ... @overload def writelines(self, lines: Iterable[AnyStr]) -> None: ... @property def closed(self) -> bool: ... if sys.version_info >= (3, 11): _SpooledTemporaryFileBase = io.IOBase else: _SpooledTemporaryFileBase = object # It does not actually derive from IO[AnyStr], but it does mostly behave # like one. class SpooledTemporaryFile(IO[AnyStr], _SpooledTemporaryFileBase): _file: IO[AnyStr] @property def encoding(self) -> str: ... # undocumented @property def newlines(self) -> str | tuple[str, ...] | None: ... # undocumented # bytes needs to go first, as default mode is to open as bytes @overload def __init__( self: SpooledTemporaryFile[bytes], max_size: int = 0, mode: OpenBinaryMode = "w+b", buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: str | None = None, prefix: str | None = None, dir: str | None = None, *, errors: str | None = None, ) -> None: ... @overload def __init__( self: SpooledTemporaryFile[str], max_size: int, mode: OpenTextMode, buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: str | None = None, prefix: str | None = None, dir: str | None = None, *, errors: str | None = None, ) -> None: ... @overload def __init__( self: SpooledTemporaryFile[str], max_size: int = 0, *, mode: OpenTextMode, buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: str | None = None, prefix: str | None = None, dir: str | None = None, errors: str | None = None, ) -> None: ... @overload def __init__( self, max_size: int, mode: str, buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: str | None = None, prefix: str | None = None, dir: str | None = None, *, errors: str | None = None, ) -> None: ... @overload def __init__( self, max_size: int = 0, *, mode: str, buffering: int = -1, encoding: str | None = None, newline: str | None = None, suffix: str | None = None, prefix: str | None = None, dir: str | None = None, errors: str | None = None, ) -> None: ... @property def errors(self) -> str | None: ... def rollover(self) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, exc: type[BaseException] | None, value: BaseException | None, tb: TracebackType | None) -> None: ... # These methods are copied from the abstract methods of IO, because # SpooledTemporaryFile implements IO. # See also https://github.com/python/typeshed/pull/2452#issuecomment-420657918. def close(self) -> None: ... def fileno(self) -> int: ... def flush(self) -> None: ... def isatty(self) -> bool: ... if sys.version_info >= (3, 11): # These three work only if the SpooledTemporaryFile is opened in binary mode, # because the underlying object in text mode does not have these methods. def read1(self, size: int = ..., /) -> AnyStr: ... def readinto(self, b: WriteableBuffer) -> int: ... def readinto1(self, b: WriteableBuffer) -> int: ... def detach(self) -> io.RawIOBase: ... def read(self, n: int = ..., /) -> AnyStr: ... def readline(self, limit: int | None = ..., /) -> AnyStr: ... # type: ignore[override] def readlines(self, hint: int = ..., /) -> list[AnyStr]: ... # type: ignore[override] def seek(self, offset: int, whence: int = ...) -> int: ... def tell(self) -> int: ... if sys.version_info >= (3, 11): def truncate(self, size: int | None = None) -> int: ... else: def truncate(self, size: int | None = None) -> None: ... # type: ignore[override] @overload def write(self: SpooledTemporaryFile[str], s: str) -> int: ... @overload def write(self: SpooledTemporaryFile[bytes], s: ReadableBuffer) -> int: ... @overload def write(self, s: AnyStr) -> int: ... @overload # type: ignore[override] def writelines(self: SpooledTemporaryFile[str], iterable: Iterable[str]) -> None: ... @overload def writelines(self: SpooledTemporaryFile[bytes], iterable: Iterable[ReadableBuffer]) -> None: ... @overload def writelines(self, iterable: Iterable[AnyStr]) -> None: ... def __iter__(self) -> Iterator[AnyStr]: ... # type: ignore[override] # These exist at runtime only on 3.11+. def readable(self) -> bool: ... def seekable(self) -> bool: ... def writable(self) -> bool: ... def __next__(self) -> AnyStr: ... # type: ignore[override] def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class TemporaryDirectory(Generic[AnyStr]): name: AnyStr if sys.version_info >= (3, 12): @overload def __init__( self: TemporaryDirectory[str], suffix: str | None = None, prefix: str | None = None, dir: StrPath | None = None, ignore_cleanup_errors: bool = False, *, delete: bool = True, ) -> None: ... @overload def __init__( self: TemporaryDirectory[bytes], suffix: bytes | None = None, prefix: bytes | None = None, dir: BytesPath | None = None, ignore_cleanup_errors: bool = False, *, delete: bool = True, ) -> None: ... elif sys.version_info >= (3, 10): @overload def __init__( self: TemporaryDirectory[str], suffix: str | None = None, prefix: str | None = None, dir: StrPath | None = None, ignore_cleanup_errors: bool = False, ) -> None: ... @overload def __init__( self: TemporaryDirectory[bytes], suffix: bytes | None = None, prefix: bytes | None = None, dir: BytesPath | None = None, ignore_cleanup_errors: bool = False, ) -> None: ... else: @overload def __init__( self: TemporaryDirectory[str], suffix: str | None = None, prefix: str | None = None, dir: StrPath | None = None ) -> None: ... @overload def __init__( self: TemporaryDirectory[bytes], suffix: bytes | None = None, prefix: bytes | None = None, dir: BytesPath | None = None, ) -> None: ... def cleanup(self) -> None: ... def __enter__(self) -> AnyStr: ... def __exit__(self, exc: type[BaseException] | None, value: BaseException | None, tb: TracebackType | None) -> None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... # The overloads overlap, but they should still work fine. @overload def mkstemp( suffix: str | None = None, prefix: str | None = None, dir: StrPath | None = None, text: bool = False ) -> tuple[int, str]: ... @overload def mkstemp( suffix: bytes | None = None, prefix: bytes | None = None, dir: BytesPath | None = None, text: bool = False ) -> tuple[int, bytes]: ... # The overloads overlap, but they should still work fine. @overload def mkdtemp(suffix: str | None = None, prefix: str | None = None, dir: StrPath | None = None) -> str: ... @overload def mkdtemp(suffix: bytes | None = None, prefix: bytes | None = None, dir: BytesPath | None = None) -> bytes: ... @deprecated("Deprecated since Python 2.3. Use `mkstemp()` or `NamedTemporaryFile(delete=False)` instead.") def mktemp(suffix: str = "", prefix: str = "tmp", dir: StrPath | None = None) -> str: ... def gettempdirb() -> bytes: ... def gettempprefixb() -> bytes: ... def gettempdir() -> str: ... def gettempprefix() -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/termios.pyi0000644000175100017510000001775315112307767020605 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptorLike from typing import Any, Final from typing_extensions import TypeAlias # Must be a list of length 7, containing 6 ints and a list of NCCS 1-character bytes or ints. _Attr: TypeAlias = list[int | list[bytes | int]] | list[int | list[bytes]] | list[int | list[int]] # Same as _Attr for return types; we use Any to avoid a union. _AttrReturn: TypeAlias = list[Any] if sys.platform != "win32": # Values depends on the platform B0: Final[int] B110: Final[int] B115200: Final[int] B1200: Final[int] B134: Final[int] B150: Final[int] B1800: Final[int] B19200: Final[int] B200: Final[int] B230400: Final[int] B2400: Final[int] B300: Final[int] B38400: Final[int] B4800: Final[int] B50: Final[int] B57600: Final[int] B600: Final[int] B75: Final[int] B9600: Final[int] BRKINT: Final[int] BS0: Final[int] BS1: Final[int] BSDLY: Final[int] CDSUSP: Final[int] CEOF: Final[int] CEOL: Final[int] CEOT: Final[int] CERASE: Final[int] CFLUSH: Final[int] CINTR: Final[int] CKILL: Final[int] CLNEXT: Final[int] CLOCAL: Final[int] CQUIT: Final[int] CR0: Final[int] CR1: Final[int] CR2: Final[int] CR3: Final[int] CRDLY: Final[int] CREAD: Final[int] CRPRNT: Final[int] CRTSCTS: Final[int] CS5: Final[int] CS6: Final[int] CS7: Final[int] CS8: Final[int] CSIZE: Final[int] CSTART: Final[int] CSTOP: Final[int] CSTOPB: Final[int] CSUSP: Final[int] CWERASE: Final[int] ECHO: Final[int] ECHOCTL: Final[int] ECHOE: Final[int] ECHOK: Final[int] ECHOKE: Final[int] ECHONL: Final[int] ECHOPRT: Final[int] EXTA: Final[int] EXTB: Final[int] FF0: Final[int] FF1: Final[int] FFDLY: Final[int] FIOASYNC: Final[int] FIOCLEX: Final[int] FIONBIO: Final[int] FIONCLEX: Final[int] FIONREAD: Final[int] FLUSHO: Final[int] HUPCL: Final[int] ICANON: Final[int] ICRNL: Final[int] IEXTEN: Final[int] IGNBRK: Final[int] IGNCR: Final[int] IGNPAR: Final[int] IMAXBEL: Final[int] INLCR: Final[int] INPCK: Final[int] ISIG: Final[int] ISTRIP: Final[int] IXANY: Final[int] IXOFF: Final[int] IXON: Final[int] NCCS: Final[int] NL0: Final[int] NL1: Final[int] NLDLY: Final[int] NOFLSH: Final[int] OCRNL: Final[int] OFDEL: Final[int] OFILL: Final[int] ONLCR: Final[int] ONLRET: Final[int] ONOCR: Final[int] OPOST: Final[int] PARENB: Final[int] PARMRK: Final[int] PARODD: Final[int] PENDIN: Final[int] TAB0: Final[int] TAB1: Final[int] TAB2: Final[int] TAB3: Final[int] TABDLY: Final[int] TCIFLUSH: Final[int] TCIOFF: Final[int] TCIOFLUSH: Final[int] TCION: Final[int] TCOFLUSH: Final[int] TCOOFF: Final[int] TCOON: Final[int] TCSADRAIN: Final[int] TCSAFLUSH: Final[int] TCSANOW: Final[int] TIOCCONS: Final[int] TIOCEXCL: Final[int] TIOCGETD: Final[int] TIOCGPGRP: Final[int] TIOCGWINSZ: Final[int] TIOCM_CAR: Final[int] TIOCM_CD: Final[int] TIOCM_CTS: Final[int] TIOCM_DSR: Final[int] TIOCM_DTR: Final[int] TIOCM_LE: Final[int] TIOCM_RI: Final[int] TIOCM_RNG: Final[int] TIOCM_RTS: Final[int] TIOCM_SR: Final[int] TIOCM_ST: Final[int] TIOCMBIC: Final[int] TIOCMBIS: Final[int] TIOCMGET: Final[int] TIOCMSET: Final[int] TIOCNOTTY: Final[int] TIOCNXCL: Final[int] TIOCOUTQ: Final[int] TIOCPKT_DATA: Final[int] TIOCPKT_DOSTOP: Final[int] TIOCPKT_FLUSHREAD: Final[int] TIOCPKT_FLUSHWRITE: Final[int] TIOCPKT_NOSTOP: Final[int] TIOCPKT_START: Final[int] TIOCPKT_STOP: Final[int] TIOCPKT: Final[int] TIOCSCTTY: Final[int] TIOCSETD: Final[int] TIOCSPGRP: Final[int] TIOCSTI: Final[int] TIOCSWINSZ: Final[int] TOSTOP: Final[int] VDISCARD: Final[int] VEOF: Final[int] VEOL: Final[int] VEOL2: Final[int] VERASE: Final[int] VINTR: Final[int] VKILL: Final[int] VLNEXT: Final[int] VMIN: Final[int] VQUIT: Final[int] VREPRINT: Final[int] VSTART: Final[int] VSTOP: Final[int] VSUSP: Final[int] VT0: Final[int] VT1: Final[int] VTDLY: Final[int] VTIME: Final[int] VWERASE: Final[int] if sys.version_info >= (3, 13): EXTPROC: Final[int] IUTF8: Final[int] if sys.platform == "darwin" and sys.version_info >= (3, 13): ALTWERASE: Final[int] B14400: Final[int] B28800: Final[int] B7200: Final[int] B76800: Final[int] CCAR_OFLOW: Final[int] CCTS_OFLOW: Final[int] CDSR_OFLOW: Final[int] CDTR_IFLOW: Final[int] CIGNORE: Final[int] CRTS_IFLOW: Final[int] MDMBUF: Final[int] NL2: Final[int] NL3: Final[int] NOKERNINFO: Final[int] ONOEOT: Final[int] OXTABS: Final[int] VDSUSP: Final[int] VSTATUS: Final[int] if sys.platform == "darwin" and sys.version_info >= (3, 11): TIOCGSIZE: Final[int] TIOCSSIZE: Final[int] if sys.platform == "linux": B1152000: Final[int] B576000: Final[int] CBAUD: Final[int] CBAUDEX: Final[int] CIBAUD: Final[int] IOCSIZE_MASK: Final[int] IOCSIZE_SHIFT: Final[int] IUCLC: Final[int] N_MOUSE: Final[int] N_PPP: Final[int] N_SLIP: Final[int] N_STRIP: Final[int] N_TTY: Final[int] NCC: Final[int] OLCUC: Final[int] TCFLSH: Final[int] TCGETA: Final[int] TCGETS: Final[int] TCSBRK: Final[int] TCSBRKP: Final[int] TCSETA: Final[int] TCSETAF: Final[int] TCSETAW: Final[int] TCSETS: Final[int] TCSETSF: Final[int] TCSETSW: Final[int] TCXONC: Final[int] TIOCGICOUNT: Final[int] TIOCGLCKTRMIOS: Final[int] TIOCGSERIAL: Final[int] TIOCGSOFTCAR: Final[int] TIOCINQ: Final[int] TIOCLINUX: Final[int] TIOCMIWAIT: Final[int] TIOCTTYGSTRUCT: Final[int] TIOCSER_TEMT: Final[int] TIOCSERCONFIG: Final[int] TIOCSERGETLSR: Final[int] TIOCSERGETMULTI: Final[int] TIOCSERGSTRUCT: Final[int] TIOCSERGWILD: Final[int] TIOCSERSETMULTI: Final[int] TIOCSERSWILD: Final[int] TIOCSLCKTRMIOS: Final[int] TIOCSSERIAL: Final[int] TIOCSSOFTCAR: Final[int] VSWTC: Final[int] VSWTCH: Final[int] XCASE: Final[int] XTABS: Final[int] if sys.platform != "darwin": B1000000: Final[int] B1500000: Final[int] B2000000: Final[int] B2500000: Final[int] B3000000: Final[int] B3500000: Final[int] B4000000: Final[int] B460800: Final[int] B500000: Final[int] B921600: Final[int] if sys.platform != "linux": TCSASOFT: Final[int] if sys.platform != "darwin" and sys.platform != "linux": # not available on FreeBSD either. CDEL: Final[int] CEOL2: Final[int] CESC: Final[int] CNUL: Final[int] COMMON: Final[int] CSWTCH: Final[int] IBSHIFT: Final[int] INIT_C_CC: Final[int] NSWTCH: Final[int] def tcgetattr(fd: FileDescriptorLike, /) -> _AttrReturn: ... def tcsetattr(fd: FileDescriptorLike, when: int, attributes: _Attr, /) -> None: ... def tcsendbreak(fd: FileDescriptorLike, duration: int, /) -> None: ... def tcdrain(fd: FileDescriptorLike, /) -> None: ... def tcflush(fd: FileDescriptorLike, queue: int, /) -> None: ... def tcflow(fd: FileDescriptorLike, action: int, /) -> None: ... if sys.version_info >= (3, 11): def tcgetwinsize(fd: FileDescriptorLike, /) -> tuple[int, int]: ... def tcsetwinsize(fd: FileDescriptorLike, winsize: tuple[int, int], /) -> None: ... class error(Exception): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/textwrap.pyi0000644000175100017510000000624115112307767020767 0ustar00runnerrunnerfrom collections.abc import Callable from re import Pattern __all__ = ["TextWrapper", "wrap", "fill", "dedent", "indent", "shorten"] class TextWrapper: width: int initial_indent: str subsequent_indent: str expand_tabs: bool replace_whitespace: bool fix_sentence_endings: bool drop_whitespace: bool break_long_words: bool break_on_hyphens: bool tabsize: int max_lines: int | None placeholder: str # Attributes not present in documentation sentence_end_re: Pattern[str] wordsep_re: Pattern[str] wordsep_simple_re: Pattern[str] whitespace_trans: str unicode_whitespace_trans: dict[int, int] uspace: int x: str # leaked loop variable def __init__( self, width: int = 70, initial_indent: str = "", subsequent_indent: str = "", expand_tabs: bool = True, replace_whitespace: bool = True, fix_sentence_endings: bool = False, break_long_words: bool = True, drop_whitespace: bool = True, break_on_hyphens: bool = True, tabsize: int = 8, *, max_lines: int | None = None, placeholder: str = " [...]", ) -> None: ... # Private methods *are* part of the documented API for subclasses. def _munge_whitespace(self, text: str) -> str: ... def _split(self, text: str) -> list[str]: ... def _fix_sentence_endings(self, chunks: list[str]) -> None: ... def _handle_long_word(self, reversed_chunks: list[str], cur_line: list[str], cur_len: int, width: int) -> None: ... def _wrap_chunks(self, chunks: list[str]) -> list[str]: ... def _split_chunks(self, text: str) -> list[str]: ... def wrap(self, text: str) -> list[str]: ... def fill(self, text: str) -> str: ... def wrap( text: str, width: int = 70, *, initial_indent: str = "", subsequent_indent: str = "", expand_tabs: bool = True, tabsize: int = 8, replace_whitespace: bool = True, fix_sentence_endings: bool = False, break_long_words: bool = True, break_on_hyphens: bool = True, drop_whitespace: bool = True, max_lines: int | None = None, placeholder: str = " [...]", ) -> list[str]: ... def fill( text: str, width: int = 70, *, initial_indent: str = "", subsequent_indent: str = "", expand_tabs: bool = True, tabsize: int = 8, replace_whitespace: bool = True, fix_sentence_endings: bool = False, break_long_words: bool = True, break_on_hyphens: bool = True, drop_whitespace: bool = True, max_lines: int | None = None, placeholder: str = " [...]", ) -> str: ... def shorten( text: str, width: int, *, initial_indent: str = "", subsequent_indent: str = "", expand_tabs: bool = True, tabsize: int = 8, replace_whitespace: bool = True, fix_sentence_endings: bool = False, break_long_words: bool = True, break_on_hyphens: bool = True, drop_whitespace: bool = True, # Omit `max_lines: int = None`, it is forced to 1 here. placeholder: str = " [...]", ) -> str: ... def dedent(text: str) -> str: ... def indent(text: str, prefix: str, predicate: Callable[[str], bool] | None = None) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/this.pyi0000644000175100017510000000003115112307767020047 0ustar00runnerrunners: str d: dict[str, str] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/threading.pyi0000644000175100017510000001520515112307767021056 0ustar00runnerrunnerimport _thread import sys from _thread import _ExceptHookArgs, get_native_id as get_native_id from _typeshed import ProfileFunction, TraceFunction from collections.abc import Callable, Iterable, Mapping from contextvars import ContextVar from types import TracebackType from typing import Any, Final, TypeVar, final from typing_extensions import deprecated _T = TypeVar("_T") __all__ = [ "get_ident", "active_count", "Condition", "current_thread", "enumerate", "main_thread", "TIMEOUT_MAX", "Event", "Lock", "RLock", "Semaphore", "BoundedSemaphore", "Thread", "Barrier", "BrokenBarrierError", "Timer", "ThreadError", "ExceptHookArgs", "setprofile", "settrace", "local", "stack_size", "excepthook", "get_native_id", ] if sys.version_info >= (3, 10): __all__ += ["getprofile", "gettrace"] if sys.version_info >= (3, 12): __all__ += ["setprofile_all_threads", "settrace_all_threads"] _profile_hook: ProfileFunction | None def active_count() -> int: ... @deprecated("Deprecated since Python 3.10. Use `active_count()` instead.") def activeCount() -> int: ... def current_thread() -> Thread: ... @deprecated("Deprecated since Python 3.10. Use `current_thread()` instead.") def currentThread() -> Thread: ... def get_ident() -> int: ... def enumerate() -> list[Thread]: ... def main_thread() -> Thread: ... def settrace(func: TraceFunction) -> None: ... def setprofile(func: ProfileFunction | None) -> None: ... if sys.version_info >= (3, 12): def setprofile_all_threads(func: ProfileFunction | None) -> None: ... def settrace_all_threads(func: TraceFunction) -> None: ... if sys.version_info >= (3, 10): def gettrace() -> TraceFunction | None: ... def getprofile() -> ProfileFunction | None: ... def stack_size(size: int = 0, /) -> int: ... TIMEOUT_MAX: Final[float] ThreadError = _thread.error local = _thread._local class Thread: name: str @property def ident(self) -> int | None: ... daemon: bool if sys.version_info >= (3, 14): def __init__( self, group: None = None, target: Callable[..., object] | None = None, name: str | None = None, args: Iterable[Any] = (), kwargs: Mapping[str, Any] | None = None, *, daemon: bool | None = None, context: ContextVar[Any] | None = None, ) -> None: ... else: def __init__( self, group: None = None, target: Callable[..., object] | None = None, name: str | None = None, args: Iterable[Any] = (), kwargs: Mapping[str, Any] | None = None, *, daemon: bool | None = None, ) -> None: ... def start(self) -> None: ... def run(self) -> None: ... def join(self, timeout: float | None = None) -> None: ... @property def native_id(self) -> int | None: ... # only available on some platforms def is_alive(self) -> bool: ... @deprecated("Deprecated since Python 3.10. Read the `daemon` attribute instead.") def isDaemon(self) -> bool: ... @deprecated("Deprecated since Python 3.10. Set the `daemon` attribute instead.") def setDaemon(self, daemonic: bool) -> None: ... @deprecated("Deprecated since Python 3.10. Read the `name` attribute instead.") def getName(self) -> str: ... @deprecated("Deprecated since Python 3.10. Set the `name` attribute instead.") def setName(self, name: str) -> None: ... class _DummyThread(Thread): def __init__(self) -> None: ... # This is actually the function _thread.allocate_lock for <= 3.12 Lock = _thread.LockType # Python implementation of RLock. @final class _RLock: _count: int def acquire(self, blocking: bool = True, timeout: float = -1) -> bool: ... def release(self) -> None: ... __enter__ = acquire def __exit__(self, t: type[BaseException] | None, v: BaseException | None, tb: TracebackType | None) -> None: ... if sys.version_info >= (3, 14): def locked(self) -> bool: ... RLock = _thread.RLock # Actually a function at runtime. class Condition: def __init__(self, lock: Lock | _RLock | RLock | None = None) -> None: ... def __enter__(self) -> bool: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def acquire(self, blocking: bool = True, timeout: float = -1) -> bool: ... def release(self) -> None: ... def wait(self, timeout: float | None = None) -> bool: ... def wait_for(self, predicate: Callable[[], _T], timeout: float | None = None) -> _T: ... def notify(self, n: int = 1) -> None: ... def notify_all(self) -> None: ... @deprecated("Deprecated since Python 3.10. Use `notify_all()` instead.") def notifyAll(self) -> None: ... class Semaphore: _value: int def __init__(self, value: int = 1) -> None: ... def __exit__(self, t: type[BaseException] | None, v: BaseException | None, tb: TracebackType | None) -> None: ... def acquire(self, blocking: bool = True, timeout: float | None = None) -> bool: ... def __enter__(self, blocking: bool = True, timeout: float | None = None) -> bool: ... def release(self, n: int = 1) -> None: ... class BoundedSemaphore(Semaphore): ... class Event: def is_set(self) -> bool: ... @deprecated("Deprecated since Python 3.10. Use `is_set()` instead.") def isSet(self) -> bool: ... def set(self) -> None: ... def clear(self) -> None: ... def wait(self, timeout: float | None = None) -> bool: ... excepthook: Callable[[_ExceptHookArgs], object] if sys.version_info >= (3, 10): __excepthook__: Callable[[_ExceptHookArgs], object] ExceptHookArgs = _ExceptHookArgs class Timer(Thread): args: Iterable[Any] # undocumented finished: Event # undocumented function: Callable[..., Any] # undocumented interval: float # undocumented kwargs: Mapping[str, Any] # undocumented def __init__( self, interval: float, function: Callable[..., object], args: Iterable[Any] | None = None, kwargs: Mapping[str, Any] | None = None, ) -> None: ... def cancel(self) -> None: ... class Barrier: @property def parties(self) -> int: ... @property def n_waiting(self) -> int: ... @property def broken(self) -> bool: ... def __init__(self, parties: int, action: Callable[[], None] | None = None, timeout: float | None = None) -> None: ... def wait(self, timeout: float | None = None) -> int: ... def reset(self) -> None: ... def abort(self) -> None: ... class BrokenBarrierError(RuntimeError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/time.pyi0000644000175100017510000000745715112307767020061 0ustar00runnerrunnerimport sys from _typeshed import structseq from typing import Any, Final, Literal, Protocol, final, type_check_only from typing_extensions import TypeAlias _TimeTuple: TypeAlias = tuple[int, int, int, int, int, int, int, int, int] altzone: int daylight: int timezone: int tzname: tuple[str, str] if sys.platform == "linux": CLOCK_BOOTTIME: Final[int] if sys.platform != "linux" and sys.platform != "win32" and sys.platform != "darwin": CLOCK_PROF: Final[int] # FreeBSD, NetBSD, OpenBSD CLOCK_UPTIME: Final[int] # FreeBSD, OpenBSD if sys.platform != "win32": CLOCK_MONOTONIC: Final[int] CLOCK_MONOTONIC_RAW: Final[int] CLOCK_PROCESS_CPUTIME_ID: Final[int] CLOCK_REALTIME: Final[int] CLOCK_THREAD_CPUTIME_ID: Final[int] if sys.platform != "linux" and sys.platform != "darwin": CLOCK_HIGHRES: Final[int] # Solaris only if sys.platform == "darwin": CLOCK_UPTIME_RAW: Final[int] if sys.version_info >= (3, 13): CLOCK_UPTIME_RAW_APPROX: Final[int] CLOCK_MONOTONIC_RAW_APPROX: Final[int] if sys.platform == "linux": CLOCK_TAI: Final[int] # Constructor takes an iterable of any type, of length between 9 and 11 elements. # However, it always *behaves* like a tuple of 9 elements, # even if an iterable with length >9 is passed. # https://github.com/python/typeshed/pull/6560#discussion_r767162532 @final class struct_time(structseq[Any | int], _TimeTuple): if sys.version_info >= (3, 10): __match_args__: Final = ("tm_year", "tm_mon", "tm_mday", "tm_hour", "tm_min", "tm_sec", "tm_wday", "tm_yday", "tm_isdst") @property def tm_year(self) -> int: ... @property def tm_mon(self) -> int: ... @property def tm_mday(self) -> int: ... @property def tm_hour(self) -> int: ... @property def tm_min(self) -> int: ... @property def tm_sec(self) -> int: ... @property def tm_wday(self) -> int: ... @property def tm_yday(self) -> int: ... @property def tm_isdst(self) -> int: ... # These final two properties only exist if a 10- or 11-item sequence was passed to the constructor. @property def tm_zone(self) -> str: ... @property def tm_gmtoff(self) -> int: ... def asctime(time_tuple: _TimeTuple | struct_time = ..., /) -> str: ... def ctime(seconds: float | None = None, /) -> str: ... def gmtime(seconds: float | None = None, /) -> struct_time: ... def localtime(seconds: float | None = None, /) -> struct_time: ... def mktime(time_tuple: _TimeTuple | struct_time, /) -> float: ... def sleep(seconds: float, /) -> None: ... def strftime(format: str, time_tuple: _TimeTuple | struct_time = ..., /) -> str: ... def strptime(data_string: str, format: str = "%a %b %d %H:%M:%S %Y", /) -> struct_time: ... def time() -> float: ... if sys.platform != "win32": def tzset() -> None: ... # Unix only @type_check_only class _ClockInfo(Protocol): adjustable: bool implementation: str monotonic: bool resolution: float def get_clock_info(name: Literal["monotonic", "perf_counter", "process_time", "time", "thread_time"], /) -> _ClockInfo: ... def monotonic() -> float: ... def perf_counter() -> float: ... def process_time() -> float: ... if sys.platform != "win32": def clock_getres(clk_id: int, /) -> float: ... # Unix only def clock_gettime(clk_id: int, /) -> float: ... # Unix only def clock_settime(clk_id: int, time: float, /) -> None: ... # Unix only if sys.platform != "win32": def clock_gettime_ns(clk_id: int, /) -> int: ... def clock_settime_ns(clock_id: int, time: int, /) -> int: ... if sys.platform == "linux": def pthread_getcpuclockid(thread_id: int, /) -> int: ... def monotonic_ns() -> int: ... def perf_counter_ns() -> int: ... def process_time_ns() -> int: ... def time_ns() -> int: ... def thread_time() -> float: ... def thread_time_ns() -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/timeit.pyi0000644000175100017510000000233015112307767020377 0ustar00runnerrunnerfrom collections.abc import Callable, Sequence from typing import IO, Any from typing_extensions import TypeAlias __all__ = ["Timer", "timeit", "repeat", "default_timer"] _Timer: TypeAlias = Callable[[], float] _Stmt: TypeAlias = str | Callable[[], object] default_timer: _Timer class Timer: def __init__( self, stmt: _Stmt = "pass", setup: _Stmt = "pass", timer: _Timer = ..., globals: dict[str, Any] | None = None ) -> None: ... def print_exc(self, file: IO[str] | None = None) -> None: ... def timeit(self, number: int = 1000000) -> float: ... def repeat(self, repeat: int = 5, number: int = 1000000) -> list[float]: ... def autorange(self, callback: Callable[[int, float], object] | None = None) -> tuple[int, float]: ... def timeit( stmt: _Stmt = "pass", setup: _Stmt = "pass", timer: _Timer = ..., number: int = 1000000, globals: dict[str, Any] | None = None ) -> float: ... def repeat( stmt: _Stmt = "pass", setup: _Stmt = "pass", timer: _Timer = ..., repeat: int = 5, number: int = 1000000, globals: dict[str, Any] | None = None, ) -> list[float]: ... def main(args: Sequence[str] | None = None, *, _wrap_timer: Callable[[_Timer], _Timer] | None = None) -> None: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6117656 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/0000755000175100017510000000000015112310012020014 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/__init__.pyi0000644000175100017510000047551315112307767022344 0ustar00runnerrunnerimport _tkinter import sys from _typeshed import Incomplete, MaybeNone, StrOrBytesPath from collections.abc import Callable, Iterable, Mapping, Sequence from tkinter.constants import * from tkinter.font import _FontDescription from types import GenericAlias, TracebackType from typing import Any, ClassVar, Final, Generic, Literal, NamedTuple, Protocol, TypedDict, TypeVar, overload, type_check_only from typing_extensions import TypeAlias, TypeVarTuple, Unpack, deprecated, disjoint_base if sys.version_info >= (3, 11): from enum import StrEnum else: from enum import Enum __all__ = [ "TclError", "NO", "FALSE", "OFF", "YES", "TRUE", "ON", "N", "S", "W", "E", "NW", "SW", "NE", "SE", "NS", "EW", "NSEW", "CENTER", "NONE", "X", "Y", "BOTH", "LEFT", "TOP", "RIGHT", "BOTTOM", "RAISED", "SUNKEN", "FLAT", "RIDGE", "GROOVE", "SOLID", "HORIZONTAL", "VERTICAL", "NUMERIC", "CHAR", "WORD", "BASELINE", "INSIDE", "OUTSIDE", "SEL", "SEL_FIRST", "SEL_LAST", "END", "INSERT", "CURRENT", "ANCHOR", "ALL", "NORMAL", "DISABLED", "ACTIVE", "HIDDEN", "CASCADE", "CHECKBUTTON", "COMMAND", "RADIOBUTTON", "SEPARATOR", "SINGLE", "BROWSE", "MULTIPLE", "EXTENDED", "DOTBOX", "UNDERLINE", "PIESLICE", "CHORD", "ARC", "FIRST", "LAST", "BUTT", "PROJECTING", "ROUND", "BEVEL", "MITER", "MOVETO", "SCROLL", "UNITS", "PAGES", "TkVersion", "TclVersion", "READABLE", "WRITABLE", "EXCEPTION", "EventType", "Event", "NoDefaultRoot", "Variable", "StringVar", "IntVar", "DoubleVar", "BooleanVar", "mainloop", "getint", "getdouble", "getboolean", "Misc", "CallWrapper", "XView", "YView", "Wm", "Tk", "Tcl", "Pack", "Place", "Grid", "BaseWidget", "Widget", "Toplevel", "Button", "Canvas", "Checkbutton", "Entry", "Frame", "Label", "Listbox", "Menu", "Menubutton", "Message", "Radiobutton", "Scale", "Scrollbar", "Text", "OptionMenu", "Image", "PhotoImage", "BitmapImage", "image_names", "image_types", "Spinbox", "LabelFrame", "PanedWindow", ] # Using anything from tkinter.font in this file means that 'import tkinter' # seems to also load tkinter.font. That's not how it actually works, but # unfortunately not much can be done about it. https://github.com/python/typeshed/pull/4346 TclError = _tkinter.TclError wantobjects: int TkVersion: Final[float] TclVersion: Final[float] READABLE: Final = _tkinter.READABLE WRITABLE: Final = _tkinter.WRITABLE EXCEPTION: Final = _tkinter.EXCEPTION # Quick guide for figuring out which widget class to choose: # - Misc: any widget (don't use BaseWidget because Tk doesn't inherit from BaseWidget) # - Widget: anything that is meant to be put into another widget with e.g. pack or grid # # Don't trust tkinter's docstrings, because they have been created by copy/pasting from # Tk's manual pages more than 10 years ago. Use the latest manual pages instead: # # $ sudo apt install tk-doc tcl-doc # $ man 3tk label # tkinter.Label # $ man 3tk ttk_label # tkinter.ttk.Label # $ man 3tcl after # tkinter.Misc.after # # You can also read the manual pages online: https://www.tcl.tk/doc/ # manual page: Tk_GetCursor _Cursor: TypeAlias = str | tuple[str] | tuple[str, str] | tuple[str, str, str] | tuple[str, str, str, str] if sys.version_info >= (3, 11): @type_check_only class _VersionInfoTypeBase(NamedTuple): major: int minor: int micro: int releaselevel: str serial: int if sys.version_info >= (3, 12): class _VersionInfoType(_VersionInfoTypeBase): ... else: @disjoint_base class _VersionInfoType(_VersionInfoTypeBase): ... if sys.version_info >= (3, 11): class EventType(StrEnum): Activate = "36" ButtonPress = "4" Button = ButtonPress ButtonRelease = "5" Circulate = "26" CirculateRequest = "27" ClientMessage = "33" Colormap = "32" Configure = "22" ConfigureRequest = "23" Create = "16" Deactivate = "37" Destroy = "17" Enter = "7" Expose = "12" FocusIn = "9" FocusOut = "10" GraphicsExpose = "13" Gravity = "24" KeyPress = "2" Key = "2" KeyRelease = "3" Keymap = "11" Leave = "8" Map = "19" MapRequest = "20" Mapping = "34" Motion = "6" MouseWheel = "38" NoExpose = "14" Property = "28" Reparent = "21" ResizeRequest = "25" Selection = "31" SelectionClear = "29" SelectionRequest = "30" Unmap = "18" VirtualEvent = "35" Visibility = "15" else: class EventType(str, Enum): Activate = "36" ButtonPress = "4" Button = ButtonPress ButtonRelease = "5" Circulate = "26" CirculateRequest = "27" ClientMessage = "33" Colormap = "32" Configure = "22" ConfigureRequest = "23" Create = "16" Deactivate = "37" Destroy = "17" Enter = "7" Expose = "12" FocusIn = "9" FocusOut = "10" GraphicsExpose = "13" Gravity = "24" KeyPress = "2" Key = KeyPress KeyRelease = "3" Keymap = "11" Leave = "8" Map = "19" MapRequest = "20" Mapping = "34" Motion = "6" MouseWheel = "38" NoExpose = "14" Property = "28" Reparent = "21" ResizeRequest = "25" Selection = "31" SelectionClear = "29" SelectionRequest = "30" Unmap = "18" VirtualEvent = "35" Visibility = "15" _W = TypeVar("_W", bound=Misc) # Events considered covariant because you should never assign to event.widget. _W_co = TypeVar("_W_co", covariant=True, bound=Misc, default=Misc) class Event(Generic[_W_co]): serial: int num: int focus: bool height: int width: int keycode: int state: int | str time: int x: int y: int x_root: int y_root: int char: str send_event: bool keysym: str keysym_num: int type: EventType widget: _W_co delta: int if sys.version_info >= (3, 14): def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def NoDefaultRoot() -> None: ... class Variable: def __init__(self, master: Misc | None = None, value=None, name: str | None = None) -> None: ... def set(self, value) -> None: ... initialize = set def get(self): ... def trace_add(self, mode: Literal["array", "read", "write", "unset"], callback: Callable[[str, str, str], object]) -> str: ... def trace_remove(self, mode: Literal["array", "read", "write", "unset"], cbname: str) -> None: ... def trace_info(self) -> list[tuple[tuple[Literal["array", "read", "write", "unset"], ...], str]]: ... if sys.version_info >= (3, 14): @deprecated("Deprecated since Python 3.14. Use `trace_add()` instead.") def trace(self, mode, callback) -> str: ... @deprecated("Deprecated since Python 3.14. Use `trace_add()` instead.") def trace_variable(self, mode, callback) -> str: ... @deprecated("Deprecated since Python 3.14. Use `trace_remove()` instead.") def trace_vdelete(self, mode, cbname) -> None: ... @deprecated("Deprecated since Python 3.14. Use `trace_info()` instead.") def trace_vinfo(self) -> list[Incomplete]: ... else: def trace(self, mode, callback) -> str: ... def trace_variable(self, mode, callback) -> str: ... def trace_vdelete(self, mode, cbname) -> None: ... def trace_vinfo(self) -> list[Incomplete]: ... def __eq__(self, other: object) -> bool: ... def __del__(self) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] class StringVar(Variable): def __init__(self, master: Misc | None = None, value: str | None = None, name: str | None = None) -> None: ... def set(self, value: str) -> None: ... initialize = set def get(self) -> str: ... class IntVar(Variable): def __init__(self, master: Misc | None = None, value: int | None = None, name: str | None = None) -> None: ... def set(self, value: int) -> None: ... initialize = set def get(self) -> int: ... class DoubleVar(Variable): def __init__(self, master: Misc | None = None, value: float | None = None, name: str | None = None) -> None: ... def set(self, value: float) -> None: ... initialize = set def get(self) -> float: ... class BooleanVar(Variable): def __init__(self, master: Misc | None = None, value: bool | None = None, name: str | None = None) -> None: ... def set(self, value: bool) -> None: ... initialize = set def get(self) -> bool: ... def mainloop(n: int = 0) -> None: ... getint = int getdouble = float def getboolean(s) -> bool: ... _Ts = TypeVarTuple("_Ts") @type_check_only class _GridIndexInfo(TypedDict, total=False): minsize: float | str pad: float | str uniform: str | None weight: int @type_check_only class _BusyInfo(TypedDict): cursor: _Cursor class Misc: master: Misc | None tk: _tkinter.TkappType children: dict[str, Widget] def destroy(self) -> None: ... def deletecommand(self, name: str) -> None: ... def tk_strictMotif(self, boolean=None): ... def tk_bisque(self) -> None: ... def tk_setPalette(self, *args, **kw) -> None: ... def wait_variable(self, name: str | Variable = "PY_VAR") -> None: ... waitvar = wait_variable def wait_window(self, window: Misc | None = None) -> None: ... def wait_visibility(self, window: Misc | None = None) -> None: ... def setvar(self, name: str = "PY_VAR", value: str = "1") -> None: ... def getvar(self, name: str = "PY_VAR"): ... def getint(self, s) -> int: ... def getdouble(self, s) -> float: ... def getboolean(self, s) -> bool: ... def focus_set(self) -> None: ... focus = focus_set def focus_force(self) -> None: ... def focus_get(self) -> Misc | None: ... def focus_displayof(self) -> Misc | None: ... def focus_lastfor(self) -> Misc | None: ... def tk_focusFollowsMouse(self) -> None: ... def tk_focusNext(self) -> Misc | None: ... def tk_focusPrev(self) -> Misc | None: ... # .after() can be called without the "func" argument, but it is basically never what you want. # It behaves like time.sleep() and freezes the GUI app. def after(self, ms: int | Literal["idle"], func: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts]) -> str: ... # after_idle is essentially partialmethod(after, "idle") def after_idle(self, func: Callable[[Unpack[_Ts]], object], *args: Unpack[_Ts]) -> str: ... def after_cancel(self, id: str) -> None: ... if sys.version_info >= (3, 13): def after_info(self, id: str | None = None) -> tuple[str, ...]: ... def bell(self, displayof: Literal[0] | Misc | None = 0) -> None: ... if sys.version_info >= (3, 13): # Supports options from `_BusyInfo`` def tk_busy_cget(self, option: Literal["cursor"]) -> _Cursor: ... busy_cget = tk_busy_cget def tk_busy_configure(self, cnf: Any = None, **kw: Any) -> Any: ... tk_busy_config = tk_busy_configure busy_configure = tk_busy_configure busy_config = tk_busy_configure def tk_busy_current(self, pattern: str | None = None) -> list[Misc]: ... busy_current = tk_busy_current def tk_busy_forget(self) -> None: ... busy_forget = tk_busy_forget def tk_busy_hold(self, **kw: Unpack[_BusyInfo]) -> None: ... tk_busy = tk_busy_hold busy_hold = tk_busy_hold busy = tk_busy_hold def tk_busy_status(self) -> bool: ... busy_status = tk_busy_status def clipboard_get(self, *, displayof: Misc = ..., type: str = ...) -> str: ... def clipboard_clear(self, *, displayof: Misc = ...) -> None: ... def clipboard_append(self, string: str, *, displayof: Misc = ..., format: str = ..., type: str = ...) -> None: ... def grab_current(self): ... def grab_release(self) -> None: ... def grab_set(self) -> None: ... def grab_set_global(self) -> None: ... def grab_status(self) -> Literal["local", "global"] | None: ... def option_add( self, pattern, value, priority: int | Literal["widgetDefault", "startupFile", "userDefault", "interactive"] | None = None ) -> None: ... def option_clear(self) -> None: ... def option_get(self, name, className): ... def option_readfile(self, fileName, priority=None) -> None: ... def selection_clear(self, **kw) -> None: ... def selection_get(self, **kw): ... def selection_handle(self, command, **kw) -> None: ... def selection_own(self, **kw) -> None: ... def selection_own_get(self, **kw): ... def send(self, interp, cmd, *args): ... def lower(self, belowThis=None) -> None: ... def tkraise(self, aboveThis=None) -> None: ... lift = tkraise if sys.version_info >= (3, 11): def info_patchlevel(self) -> _VersionInfoType: ... def winfo_atom(self, name: str, displayof: Literal[0] | Misc | None = 0) -> int: ... def winfo_atomname(self, id: int, displayof: Literal[0] | Misc | None = 0) -> str: ... def winfo_cells(self) -> int: ... def winfo_children(self) -> list[Widget | Toplevel]: ... def winfo_class(self) -> str: ... def winfo_colormapfull(self) -> bool: ... def winfo_containing(self, rootX: int, rootY: int, displayof: Literal[0] | Misc | None = 0) -> Misc | None: ... def winfo_depth(self) -> int: ... def winfo_exists(self) -> bool: ... def winfo_fpixels(self, number: float | str) -> float: ... def winfo_geometry(self) -> str: ... def winfo_height(self) -> int: ... def winfo_id(self) -> int: ... def winfo_interps(self, displayof: Literal[0] | Misc | None = 0) -> tuple[str, ...]: ... def winfo_ismapped(self) -> bool: ... def winfo_manager(self) -> str: ... def winfo_name(self) -> str: ... def winfo_parent(self) -> str: ... # return value needs nametowidget() def winfo_pathname(self, id: int, displayof: Literal[0] | Misc | None = 0): ... def winfo_pixels(self, number: float | str) -> int: ... def winfo_pointerx(self) -> int: ... def winfo_pointerxy(self) -> tuple[int, int]: ... def winfo_pointery(self) -> int: ... def winfo_reqheight(self) -> int: ... def winfo_reqwidth(self) -> int: ... def winfo_rgb(self, color: str) -> tuple[int, int, int]: ... def winfo_rootx(self) -> int: ... def winfo_rooty(self) -> int: ... def winfo_screen(self) -> str: ... def winfo_screencells(self) -> int: ... def winfo_screendepth(self) -> int: ... def winfo_screenheight(self) -> int: ... def winfo_screenmmheight(self) -> int: ... def winfo_screenmmwidth(self) -> int: ... def winfo_screenvisual(self) -> str: ... def winfo_screenwidth(self) -> int: ... def winfo_server(self) -> str: ... def winfo_toplevel(self) -> Tk | Toplevel: ... def winfo_viewable(self) -> bool: ... def winfo_visual(self) -> str: ... def winfo_visualid(self) -> str: ... def winfo_visualsavailable(self, includeids: bool = False) -> list[tuple[str, int]]: ... def winfo_vrootheight(self) -> int: ... def winfo_vrootwidth(self) -> int: ... def winfo_vrootx(self) -> int: ... def winfo_vrooty(self) -> int: ... def winfo_width(self) -> int: ... def winfo_x(self) -> int: ... def winfo_y(self) -> int: ... def update(self) -> None: ... def update_idletasks(self) -> None: ... @overload def bindtags(self, tagList: None = None) -> tuple[str, ...]: ... @overload def bindtags(self, tagList: list[str] | tuple[str, ...]) -> None: ... # bind with isinstance(func, str) doesn't return anything, but all other # binds do. The default value of func is not str. @overload def bind( self, sequence: str | None = None, func: Callable[[Event[Misc]], object] | None = None, add: Literal["", "+"] | bool | None = None, ) -> str: ... @overload def bind(self, sequence: str | None, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... @overload def bind(self, *, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... # There's no way to know what type of widget bind_all and bind_class # callbacks will get, so those are Misc. @overload def bind_all( self, sequence: str | None = None, func: Callable[[Event[Misc]], object] | None = None, add: Literal["", "+"] | bool | None = None, ) -> str: ... @overload def bind_all(self, sequence: str | None, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... @overload def bind_all(self, *, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... @overload def bind_class( self, className: str, sequence: str | None = None, func: Callable[[Event[Misc]], object] | None = None, add: Literal["", "+"] | bool | None = None, ) -> str: ... @overload def bind_class(self, className: str, sequence: str | None, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... @overload def bind_class(self, className: str, *, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... def unbind(self, sequence: str, funcid: str | None = None) -> None: ... def unbind_all(self, sequence: str) -> None: ... def unbind_class(self, className: str, sequence: str) -> None: ... def mainloop(self, n: int = 0) -> None: ... def quit(self) -> None: ... @property def _windowingsystem(self) -> Literal["win32", "aqua", "x11"]: ... def nametowidget(self, name: str | Misc | _tkinter.Tcl_Obj) -> Any: ... def register( self, func: Callable[..., object], subst: Callable[..., Sequence[Any]] | None = None, needcleanup: int = 1 ) -> str: ... def keys(self) -> list[str]: ... @overload def pack_propagate(self, flag: bool) -> bool | None: ... @overload def pack_propagate(self) -> None: ... propagate = pack_propagate def grid_anchor(self, anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] | None = None) -> None: ... anchor = grid_anchor @overload def grid_bbox( self, column: None = None, row: None = None, col2: None = None, row2: None = None ) -> tuple[int, int, int, int] | None: ... @overload def grid_bbox(self, column: int, row: int, col2: None = None, row2: None = None) -> tuple[int, int, int, int] | None: ... @overload def grid_bbox(self, column: int, row: int, col2: int, row2: int) -> tuple[int, int, int, int] | None: ... bbox = grid_bbox def grid_columnconfigure( self, index: int | str | list[int] | tuple[int, ...], cnf: _GridIndexInfo = {}, *, minsize: float | str = ..., pad: float | str = ..., uniform: str = ..., weight: int = ..., ) -> _GridIndexInfo | MaybeNone: ... # can be None but annoying to check def grid_rowconfigure( self, index: int | str | list[int] | tuple[int, ...], cnf: _GridIndexInfo = {}, *, minsize: float | str = ..., pad: float | str = ..., uniform: str = ..., weight: int = ..., ) -> _GridIndexInfo | MaybeNone: ... # can be None but annoying to check columnconfigure = grid_columnconfigure rowconfigure = grid_rowconfigure def grid_location(self, x: float | str, y: float | str) -> tuple[int, int]: ... @overload def grid_propagate(self, flag: bool) -> None: ... @overload def grid_propagate(self) -> bool: ... def grid_size(self) -> tuple[int, int]: ... size = grid_size # Widget because Toplevel or Tk is never a slave def pack_slaves(self) -> list[Widget]: ... def grid_slaves(self, row: int | None = None, column: int | None = None) -> list[Widget]: ... def place_slaves(self) -> list[Widget]: ... slaves = pack_slaves def event_add(self, virtual: str, *sequences: str) -> None: ... def event_delete(self, virtual: str, *sequences: str) -> None: ... def event_generate( self, sequence: str, *, above: Misc | int = ..., borderwidth: float | str = ..., button: int = ..., count: int = ..., data: Any = ..., # anything with usable str() value delta: int = ..., detail: str = ..., focus: bool = ..., height: float | str = ..., keycode: int = ..., keysym: str = ..., mode: str = ..., override: bool = ..., place: Literal["PlaceOnTop", "PlaceOnBottom"] = ..., root: Misc | int = ..., rootx: float | str = ..., rooty: float | str = ..., sendevent: bool = ..., serial: int = ..., state: int | str = ..., subwindow: Misc | int = ..., time: int = ..., warp: bool = ..., width: float | str = ..., when: Literal["now", "tail", "head", "mark"] = ..., x: float | str = ..., y: float | str = ..., ) -> None: ... def event_info(self, virtual: str | None = None) -> tuple[str, ...]: ... def image_names(self) -> tuple[str, ...]: ... def image_types(self) -> tuple[str, ...]: ... # See #4363 and #4891 def __setitem__(self, key: str, value: Any) -> None: ... def __getitem__(self, key: str) -> Any: ... def cget(self, key: str) -> Any: ... def configure(self, cnf: Any = None) -> Any: ... # TODO: config is an alias of configure, but adding that here creates # conflict with the type of config in the subclasses. See #13149 class CallWrapper: func: Incomplete subst: Incomplete widget: Incomplete def __init__(self, func, subst, widget) -> None: ... def __call__(self, *args): ... class XView: @overload def xview(self) -> tuple[float, float]: ... @overload def xview(self, *args) -> None: ... def xview_moveto(self, fraction: float) -> None: ... @overload def xview_scroll(self, number: int, what: Literal["units", "pages"]) -> None: ... @overload def xview_scroll(self, number: float | str, what: Literal["pixels"]) -> None: ... class YView: @overload def yview(self) -> tuple[float, float]: ... @overload def yview(self, *args) -> None: ... def yview_moveto(self, fraction: float) -> None: ... @overload def yview_scroll(self, number: int, what: Literal["units", "pages"]) -> None: ... @overload def yview_scroll(self, number: float | str, what: Literal["pixels"]) -> None: ... if sys.platform == "darwin": @type_check_only class _WmAttributes(TypedDict): alpha: float fullscreen: bool modified: bool notify: bool titlepath: str topmost: bool transparent: bool type: str # Present, but not actually used on darwin elif sys.platform == "win32": @type_check_only class _WmAttributes(TypedDict): alpha: float transparentcolor: str disabled: bool fullscreen: bool toolwindow: bool topmost: bool else: # X11 @type_check_only class _WmAttributes(TypedDict): alpha: float topmost: bool zoomed: bool fullscreen: bool type: str class Wm: @overload def wm_aspect(self, minNumer: int, minDenom: int, maxNumer: int, maxDenom: int) -> None: ... @overload def wm_aspect( self, minNumer: None = None, minDenom: None = None, maxNumer: None = None, maxDenom: None = None ) -> tuple[int, int, int, int] | None: ... aspect = wm_aspect if sys.version_info >= (3, 13): @overload def wm_attributes(self, *, return_python_dict: Literal[False] = False) -> tuple[Any, ...]: ... @overload def wm_attributes(self, *, return_python_dict: Literal[True]) -> _WmAttributes: ... else: @overload def wm_attributes(self) -> tuple[Any, ...]: ... @overload def wm_attributes(self, option: Literal["-alpha"], /) -> float: ... @overload def wm_attributes(self, option: Literal["-fullscreen"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["-topmost"], /) -> bool: ... if sys.platform == "darwin": @overload def wm_attributes(self, option: Literal["-modified"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["-notify"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["-titlepath"], /) -> str: ... @overload def wm_attributes(self, option: Literal["-transparent"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["-type"], /) -> str: ... elif sys.platform == "win32": @overload def wm_attributes(self, option: Literal["-transparentcolor"], /) -> str: ... @overload def wm_attributes(self, option: Literal["-disabled"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["-toolwindow"], /) -> bool: ... else: # X11 @overload def wm_attributes(self, option: Literal["-zoomed"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["-type"], /) -> str: ... if sys.version_info >= (3, 13): @overload def wm_attributes(self, option: Literal["alpha"], /) -> float: ... @overload def wm_attributes(self, option: Literal["fullscreen"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["topmost"], /) -> bool: ... if sys.platform == "darwin": @overload def wm_attributes(self, option: Literal["modified"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["notify"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["titlepath"], /) -> str: ... @overload def wm_attributes(self, option: Literal["transparent"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["type"], /) -> str: ... elif sys.platform == "win32": @overload def wm_attributes(self, option: Literal["transparentcolor"], /) -> str: ... @overload def wm_attributes(self, option: Literal["disabled"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["toolwindow"], /) -> bool: ... else: # X11 @overload def wm_attributes(self, option: Literal["zoomed"], /) -> bool: ... @overload def wm_attributes(self, option: Literal["type"], /) -> str: ... @overload def wm_attributes(self, option: str, /): ... @overload def wm_attributes(self, option: Literal["-alpha"], value: float, /) -> Literal[""]: ... @overload def wm_attributes(self, option: Literal["-fullscreen"], value: bool, /) -> Literal[""]: ... @overload def wm_attributes(self, option: Literal["-topmost"], value: bool, /) -> Literal[""]: ... if sys.platform == "darwin": @overload def wm_attributes(self, option: Literal["-modified"], value: bool, /) -> Literal[""]: ... @overload def wm_attributes(self, option: Literal["-notify"], value: bool, /) -> Literal[""]: ... @overload def wm_attributes(self, option: Literal["-titlepath"], value: str, /) -> Literal[""]: ... @overload def wm_attributes(self, option: Literal["-transparent"], value: bool, /) -> Literal[""]: ... elif sys.platform == "win32": @overload def wm_attributes(self, option: Literal["-transparentcolor"], value: str, /) -> Literal[""]: ... @overload def wm_attributes(self, option: Literal["-disabled"], value: bool, /) -> Literal[""]: ... @overload def wm_attributes(self, option: Literal["-toolwindow"], value: bool, /) -> Literal[""]: ... else: # X11 @overload def wm_attributes(self, option: Literal["-zoomed"], value: bool, /) -> Literal[""]: ... @overload def wm_attributes(self, option: Literal["-type"], value: str, /) -> Literal[""]: ... @overload def wm_attributes(self, option: str, value, /, *__other_option_value_pairs: Any) -> Literal[""]: ... if sys.version_info >= (3, 13): if sys.platform == "darwin": @overload def wm_attributes( self, *, alpha: float = ..., fullscreen: bool = ..., modified: bool = ..., notify: bool = ..., titlepath: str = ..., topmost: bool = ..., transparent: bool = ..., ) -> None: ... elif sys.platform == "win32": @overload def wm_attributes( self, *, alpha: float = ..., transparentcolor: str = ..., disabled: bool = ..., fullscreen: bool = ..., toolwindow: bool = ..., topmost: bool = ..., ) -> None: ... else: # X11 @overload def wm_attributes( self, *, alpha: float = ..., topmost: bool = ..., zoomed: bool = ..., fullscreen: bool = ..., type: str = ... ) -> None: ... attributes = wm_attributes def wm_client(self, name: str | None = None) -> str: ... client = wm_client @overload def wm_colormapwindows(self) -> list[Misc]: ... @overload def wm_colormapwindows(self, wlist: list[Misc] | tuple[Misc, ...], /) -> None: ... @overload def wm_colormapwindows(self, first_wlist_item: Misc, /, *other_wlist_items: Misc) -> None: ... colormapwindows = wm_colormapwindows def wm_command(self, value: str | None = None) -> str: ... command = wm_command # Some of these always return empty string, but return type is set to None to prevent accidentally using it def wm_deiconify(self) -> None: ... deiconify = wm_deiconify def wm_focusmodel(self, model: Literal["active", "passive"] | None = None) -> Literal["active", "passive", ""]: ... focusmodel = wm_focusmodel def wm_forget(self, window: Wm) -> None: ... forget = wm_forget def wm_frame(self) -> str: ... frame = wm_frame @overload def wm_geometry(self, newGeometry: None = None) -> str: ... @overload def wm_geometry(self, newGeometry: str) -> None: ... geometry = wm_geometry def wm_grid(self, baseWidth=None, baseHeight=None, widthInc=None, heightInc=None): ... grid = wm_grid def wm_group(self, pathName=None): ... group = wm_group def wm_iconbitmap(self, bitmap=None, default=None): ... iconbitmap = wm_iconbitmap def wm_iconify(self) -> None: ... iconify = wm_iconify def wm_iconmask(self, bitmap=None): ... iconmask = wm_iconmask def wm_iconname(self, newName=None) -> str: ... iconname = wm_iconname def wm_iconphoto(self, default: bool, image1: _PhotoImageLike | str, /, *args: _PhotoImageLike | str) -> None: ... iconphoto = wm_iconphoto def wm_iconposition(self, x: int | None = None, y: int | None = None) -> tuple[int, int] | None: ... iconposition = wm_iconposition def wm_iconwindow(self, pathName=None): ... iconwindow = wm_iconwindow def wm_manage(self, widget) -> None: ... manage = wm_manage @overload def wm_maxsize(self, width: None = None, height: None = None) -> tuple[int, int]: ... @overload def wm_maxsize(self, width: int, height: int) -> None: ... maxsize = wm_maxsize @overload def wm_minsize(self, width: None = None, height: None = None) -> tuple[int, int]: ... @overload def wm_minsize(self, width: int, height: int) -> None: ... minsize = wm_minsize @overload def wm_overrideredirect(self, boolean: None = None) -> bool | None: ... # returns True or None @overload def wm_overrideredirect(self, boolean: bool) -> None: ... overrideredirect = wm_overrideredirect def wm_positionfrom(self, who: Literal["program", "user"] | None = None) -> Literal["", "program", "user"]: ... positionfrom = wm_positionfrom @overload def wm_protocol(self, name: str, func: Callable[[], object] | str) -> None: ... @overload def wm_protocol(self, name: str, func: None = None) -> str: ... @overload def wm_protocol(self, name: None = None, func: None = None) -> tuple[str, ...]: ... protocol = wm_protocol @overload def wm_resizable(self, width: None = None, height: None = None) -> tuple[bool, bool]: ... @overload def wm_resizable(self, width: bool, height: bool) -> None: ... resizable = wm_resizable def wm_sizefrom(self, who: Literal["program", "user"] | None = None) -> Literal["", "program", "user"]: ... sizefrom = wm_sizefrom @overload def wm_state(self, newstate: None = None) -> str: ... @overload def wm_state(self, newstate: str) -> None: ... state = wm_state @overload def wm_title(self, string: None = None) -> str: ... @overload def wm_title(self, string: str) -> None: ... title = wm_title @overload def wm_transient(self, master: None = None) -> _tkinter.Tcl_Obj: ... @overload def wm_transient(self, master: Wm | _tkinter.Tcl_Obj) -> None: ... transient = wm_transient def wm_withdraw(self) -> None: ... withdraw = wm_withdraw class Tk(Misc, Wm): master: None def __init__( # Make sure to keep in sync with other functions that use the same # args. # use `git grep screenName` to find them self, screenName: str | None = None, baseName: str | None = None, className: str = "Tk", useTk: bool = True, sync: bool = False, use: str | None = None, ) -> None: ... # Keep this in sync with ttktheme.ThemedTk. See issue #13858 @overload def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., menu: Menu = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def destroy(self) -> None: ... def readprofile(self, baseName: str, className: str) -> None: ... report_callback_exception: Callable[[type[BaseException], BaseException, TracebackType | None], object] # Tk has __getattr__ so that tk_instance.foo falls back to tk_instance.tk.foo # Please keep in sync with _tkinter.TkappType. # Some methods are intentionally missing because they are inherited from Misc instead. def adderrorinfo(self, msg: str, /): ... def call(self, command: Any, /, *args: Any) -> Any: ... def createcommand(self, name: str, func, /): ... if sys.platform != "win32": def createfilehandler(self, file, mask: int, func, /): ... def deletefilehandler(self, file, /) -> None: ... def createtimerhandler(self, milliseconds: int, func, /): ... def dooneevent(self, flags: int = 0, /): ... def eval(self, script: str, /) -> str: ... def evalfile(self, fileName: str, /): ... def exprboolean(self, s: str, /): ... def exprdouble(self, s: str, /): ... def exprlong(self, s: str, /): ... def exprstring(self, s: str, /): ... def globalgetvar(self, *args, **kwargs): ... def globalsetvar(self, *args, **kwargs): ... def globalunsetvar(self, *args, **kwargs): ... def interpaddr(self) -> int: ... def loadtk(self) -> None: ... def record(self, script: str, /): ... if sys.version_info < (3, 11): @deprecated("Deprecated since Python 3.9; removed in Python 3.11. Use `splitlist()` instead.") def split(self, arg, /): ... def splitlist(self, arg, /): ... def unsetvar(self, *args, **kwargs): ... def wantobjects(self, *args, **kwargs): ... def willdispatch(self) -> None: ... def Tcl(screenName: str | None = None, baseName: str | None = None, className: str = "Tk", useTk: bool = False) -> Tk: ... _InMiscTotal = TypedDict("_InMiscTotal", {"in": Misc}) _InMiscNonTotal = TypedDict("_InMiscNonTotal", {"in": Misc}, total=False) @type_check_only class _PackInfo(_InMiscTotal): # 'before' and 'after' never appear in _PackInfo anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] expand: bool fill: Literal["none", "x", "y", "both"] side: Literal["left", "right", "top", "bottom"] # Paddings come out as int or tuple of int, even though any screen units # can be specified in pack(). ipadx: int ipady: int padx: int | tuple[int, int] pady: int | tuple[int, int] class Pack: # _PackInfo is not the valid type for cnf because pad stuff accepts any # screen units instead of int only. I didn't bother to create another # TypedDict for cnf because it appears to be a legacy thing that was # replaced by **kwargs. def pack_configure( self, cnf: Mapping[str, Any] | None = {}, *, after: Misc = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., before: Misc = ..., expand: bool | Literal[0, 1] = 0, fill: Literal["none", "x", "y", "both"] = ..., side: Literal["left", "right", "top", "bottom"] = ..., ipadx: float | str = ..., ipady: float | str = ..., padx: float | str | tuple[float | str, float | str] = ..., pady: float | str | tuple[float | str, float | str] = ..., in_: Misc = ..., **kw: Any, # allow keyword argument named 'in', see #4836 ) -> None: ... def pack_forget(self) -> None: ... def pack_info(self) -> _PackInfo: ... # errors if widget hasn't been packed pack = pack_configure forget = pack_forget propagate = Misc.pack_propagate @type_check_only class _PlaceInfo(_InMiscNonTotal): # empty dict if widget hasn't been placed anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] bordermode: Literal["inside", "outside", "ignore"] width: str # can be int()ed (even after e.g. widget.place(height='2.3c') or similar) height: str # can be int()ed x: str # can be int()ed y: str # can be int()ed relheight: str # can be float()ed if not empty string relwidth: str # can be float()ed if not empty string relx: str # can be float()ed if not empty string rely: str # can be float()ed if not empty string class Place: def place_configure( self, cnf: Mapping[str, Any] | None = {}, *, anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., bordermode: Literal["inside", "outside", "ignore"] = ..., width: float | str = ..., height: float | str = ..., x: float | str = ..., y: float | str = ..., # str allowed for compatibility with place_info() relheight: str | float = ..., relwidth: str | float = ..., relx: str | float = ..., rely: str | float = ..., in_: Misc = ..., **kw: Any, # allow keyword argument named 'in', see #4836 ) -> None: ... def place_forget(self) -> None: ... def place_info(self) -> _PlaceInfo: ... place = place_configure info = place_info @type_check_only class _GridInfo(_InMiscNonTotal): # empty dict if widget hasn't been gridded column: int columnspan: int row: int rowspan: int ipadx: int ipady: int padx: int | tuple[int, int] pady: int | tuple[int, int] sticky: str # consists of letters 'n', 's', 'w', 'e', no repeats, may be empty class Grid: def grid_configure( self, cnf: Mapping[str, Any] | None = {}, *, column: int = ..., columnspan: int = ..., row: int = ..., rowspan: int = ..., ipadx: float | str = ..., ipady: float | str = ..., padx: float | str | tuple[float | str, float | str] = ..., pady: float | str | tuple[float | str, float | str] = ..., sticky: str = ..., # consists of letters 'n', 's', 'w', 'e', may contain repeats, may be empty in_: Misc = ..., **kw: Any, # allow keyword argument named 'in', see #4836 ) -> None: ... def grid_forget(self) -> None: ... def grid_remove(self) -> None: ... def grid_info(self) -> _GridInfo: ... grid = grid_configure location = Misc.grid_location size = Misc.grid_size class BaseWidget(Misc): master: Misc widgetName: str def __init__(self, master, widgetName: str, cnf={}, kw={}, extra=()) -> None: ... def destroy(self) -> None: ... # This class represents any widget except Toplevel or Tk. class Widget(BaseWidget, Pack, Place, Grid): # Allow bind callbacks to take e.g. Event[Label] instead of Event[Misc]. # Tk and Toplevel get notified for their child widgets' events, but other # widgets don't. @overload def bind( self: _W, sequence: str | None = None, func: Callable[[Event[_W]], object] | None = None, add: Literal["", "+"] | bool | None = None, ) -> str: ... @overload def bind(self, sequence: str | None, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... @overload def bind(self, *, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... class Toplevel(BaseWidget, Wm): # Toplevel and Tk have the same options because they correspond to the same # Tcl/Tk toplevel widget. For some reason, config and configure must be # copy/pasted here instead of aliasing as 'config = Tk.config'. def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, background: str = ..., bd: float | str = 0, bg: str = ..., border: float | str = 0, borderwidth: float | str = 0, class_: str = "Toplevel", colormap: Literal["new", ""] | Misc = "", container: bool = False, cursor: _Cursor = "", height: float | str = 0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 0, menu: Menu = ..., name: str = ..., padx: float | str = 0, pady: float | str = 0, relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", screen: str = "", # can't be changed after creating widget takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = 0, use: int = ..., visual: str | tuple[str, int] = "", width: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., menu: Menu = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Button(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = "center", background: str = ..., bd: float | str = ..., # same as borderwidth bg: str = ..., # same as background bitmap: str = "", border: float | str = ..., # same as borderwidth borderwidth: float | str = ..., command: str | Callable[[], Any] = "", compound: Literal["top", "left", "center", "right", "bottom", "none"] = "none", cursor: _Cursor = "", default: Literal["normal", "active", "disabled"] = "disabled", disabledforeground: str = ..., fg: str = ..., # same as foreground font: _FontDescription = "TkDefaultFont", foreground: str = ..., # width and height must be int for buttons containing just text, but # buttons with an image accept any screen units. height: float | str = 0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 1, image: _Image | str = "", justify: Literal["left", "center", "right"] = "center", name: str = ..., overrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove", ""] = "", padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., repeatdelay: int = ..., repeatinterval: int = ..., state: Literal["normal", "active", "disabled"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", text: float | str = "", # We allow the textvariable to be any Variable, not necessarily # StringVar. This is useful for e.g. a button that displays the value # of an IntVar. textvariable: Variable = ..., underline: int = -1, width: float | str = 0, wraplength: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = ..., border: float | str = ..., borderwidth: float | str = ..., command: str | Callable[[], Any] = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., cursor: _Cursor = ..., default: Literal["normal", "active", "disabled"] = ..., disabledforeground: str = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., image: _Image | str = ..., justify: Literal["left", "center", "right"] = ..., overrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove", ""] = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., repeatdelay: int = ..., repeatinterval: int = ..., state: Literal["normal", "active", "disabled"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: Variable = ..., underline: int = ..., width: float | str = ..., wraplength: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def flash(self) -> None: ... def invoke(self) -> Any: ... class Canvas(Widget, XView, YView): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, background: str = ..., bd: float | str = 0, bg: str = ..., border: float | str = 0, borderwidth: float | str = 0, closeenough: float = 1.0, confine: bool = True, cursor: _Cursor = "", height: float | str = ..., # see COORDINATES in canvas manual page highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., insertbackground: str = ..., insertborderwidth: float | str = 0, insertofftime: int = 300, insertontime: int = 600, insertwidth: float | str = 2, name: str = ..., offset=..., # undocumented relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", # Setting scrollregion to None doesn't reset it back to empty, # but setting it to () does. scrollregion: tuple[float | str, float | str, float | str, float | str] | tuple[()] = (), selectbackground: str = ..., selectborderwidth: float | str = 1, selectforeground: str = ..., # man page says that state can be 'hidden', but it can't state: Literal["normal", "disabled"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", width: float | str = ..., xscrollcommand: str | Callable[[float, float], object] = "", xscrollincrement: float | str = 0, yscrollcommand: str | Callable[[float, float], object] = "", yscrollincrement: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., closeenough: float = ..., confine: bool = ..., cursor: _Cursor = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., insertbackground: str = ..., insertborderwidth: float | str = ..., insertofftime: int = ..., insertontime: int = ..., insertwidth: float | str = ..., offset=..., # undocumented relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., scrollregion: tuple[float | str, float | str, float | str, float | str] | tuple[()] = ..., selectbackground: str = ..., selectborderwidth: float | str = ..., selectforeground: str = ..., state: Literal["normal", "disabled"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: float | str = ..., xscrollcommand: str | Callable[[float, float], object] = ..., xscrollincrement: float | str = ..., yscrollcommand: str | Callable[[float, float], object] = ..., yscrollincrement: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def addtag(self, *args): ... # internal method def addtag_above(self, newtag: str, tagOrId: str | int) -> None: ... def addtag_all(self, newtag: str) -> None: ... def addtag_below(self, newtag: str, tagOrId: str | int) -> None: ... def addtag_closest( self, newtag: str, x: float | str, y: float | str, halo: float | str | None = None, start: str | int | None = None ) -> None: ... def addtag_enclosed(self, newtag: str, x1: float | str, y1: float | str, x2: float | str, y2: float | str) -> None: ... def addtag_overlapping(self, newtag: str, x1: float | str, y1: float | str, x2: float | str, y2: float | str) -> None: ... def addtag_withtag(self, newtag: str, tagOrId: str | int) -> None: ... def find(self, *args): ... # internal method def find_above(self, tagOrId: str | int) -> tuple[int, ...]: ... def find_all(self) -> tuple[int, ...]: ... def find_below(self, tagOrId: str | int) -> tuple[int, ...]: ... def find_closest( self, x: float | str, y: float | str, halo: float | str | None = None, start: str | int | None = None ) -> tuple[int, ...]: ... def find_enclosed(self, x1: float | str, y1: float | str, x2: float | str, y2: float | str) -> tuple[int, ...]: ... def find_overlapping(self, x1: float | str, y1: float | str, x2: float | str, y2: float) -> tuple[int, ...]: ... def find_withtag(self, tagOrId: str | int) -> tuple[int, ...]: ... # Incompatible with Misc.bbox(), tkinter violates LSP def bbox(self, *args: str | int) -> tuple[int, int, int, int]: ... # type: ignore[override] @overload def tag_bind( self, tagOrId: str | int, sequence: str | None = None, func: Callable[[Event[Canvas]], object] | None = None, add: Literal["", "+"] | bool | None = None, ) -> str: ... @overload def tag_bind( self, tagOrId: str | int, sequence: str | None, func: str, add: Literal["", "+"] | bool | None = None ) -> None: ... @overload def tag_bind(self, tagOrId: str | int, *, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... def tag_unbind(self, tagOrId: str | int, sequence: str, funcid: str | None = None) -> None: ... def canvasx(self, screenx, gridspacing=None): ... def canvasy(self, screeny, gridspacing=None): ... @overload def coords(self, tagOrId: str | int, /) -> list[float]: ... @overload def coords(self, tagOrId: str | int, args: list[int] | list[float] | tuple[float, ...], /) -> None: ... @overload def coords(self, tagOrId: str | int, x1: float, y1: float, /, *args: float) -> None: ... # create_foo() methods accept coords as a list or tuple, or as separate arguments. # Lists and tuples can be flat as in [1, 2, 3, 4], or nested as in [(1, 2), (3, 4)]. # Keyword arguments should be the same in all overloads of each method. def create_arc(self, *args, **kw) -> int: ... def create_bitmap(self, *args, **kw) -> int: ... def create_image(self, *args, **kw) -> int: ... @overload def create_line( self, x0: float, y0: float, x1: float, y1: float, /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activestipple: str = ..., activewidth: float | str = ..., arrow: Literal["first", "last", "both"] = ..., arrowshape: tuple[float, float, float] = ..., capstyle: Literal["round", "projecting", "butt"] = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., joinstyle: Literal["round", "bevel", "miter"] = ..., offset: float | str = ..., smooth: bool = ..., splinesteps: float = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_line( self, xy_pair_0: tuple[float, float], xy_pair_1: tuple[float, float], /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activestipple: str = ..., activewidth: float | str = ..., arrow: Literal["first", "last", "both"] = ..., arrowshape: tuple[float, float, float] = ..., capstyle: Literal["round", "projecting", "butt"] = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., joinstyle: Literal["round", "bevel", "miter"] = ..., offset: float | str = ..., smooth: bool = ..., splinesteps: float = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_line( self, coords: ( tuple[float, float, float, float] | tuple[tuple[float, float], tuple[float, float]] | list[int] | list[float] | list[tuple[int, int]] | list[tuple[float, float]] ), /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activestipple: str = ..., activewidth: float | str = ..., arrow: Literal["first", "last", "both"] = ..., arrowshape: tuple[float, float, float] = ..., capstyle: Literal["round", "projecting", "butt"] = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., joinstyle: Literal["round", "bevel", "miter"] = ..., offset: float | str = ..., smooth: bool = ..., splinesteps: float = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_oval( self, x0: float, y0: float, x1: float, y1: float, /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_oval( self, xy_pair_0: tuple[float, float], xy_pair_1: tuple[float, float], /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_oval( self, coords: ( tuple[float, float, float, float] | tuple[tuple[float, float], tuple[float, float]] | list[int] | list[float] | list[tuple[int, int]] | list[tuple[float, float]] ), /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_polygon( self, x0: float, y0: float, x1: float, y1: float, /, *xy_pairs: float, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., joinstyle: Literal["round", "bevel", "miter"] = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., smooth: bool = ..., splinesteps: float = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_polygon( self, xy_pair_0: tuple[float, float], xy_pair_1: tuple[float, float], /, *xy_pairs: tuple[float, float], activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., joinstyle: Literal["round", "bevel", "miter"] = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., smooth: bool = ..., splinesteps: float = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_polygon( self, coords: ( tuple[float, ...] | tuple[tuple[float, float], ...] | list[int] | list[float] | list[tuple[int, int]] | list[tuple[float, float]] ), /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., joinstyle: Literal["round", "bevel", "miter"] = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., smooth: bool = ..., splinesteps: float = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_rectangle( self, x0: float, y0: float, x1: float, y1: float, /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_rectangle( self, xy_pair_0: tuple[float, float], xy_pair_1: tuple[float, float], /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_rectangle( self, coords: ( tuple[float, float, float, float] | tuple[tuple[float, float], tuple[float, float]] | list[int] | list[float] | list[tuple[int, int]] | list[tuple[float, float]] ), /, *, activedash: str | int | list[int] | tuple[int, ...] = ..., activefill: str = ..., activeoutline: str = ..., activeoutlinestipple: str = ..., activestipple: str = ..., activewidth: float | str = ..., dash: str | int | list[int] | tuple[int, ...] = ..., dashoffset: float | str = ..., disableddash: str | int | list[int] | tuple[int, ...] = ..., disabledfill: str = ..., disabledoutline: str = ..., disabledoutlinestipple: str = ..., disabledstipple: str = ..., disabledwidth: float | str = ..., fill: str = ..., offset: float | str = ..., outline: str = ..., outlineoffset: float | str = ..., outlinestipple: str = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., ) -> int: ... @overload def create_text( self, x: float, y: float, /, *, activefill: str = ..., activestipple: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., angle: float | str = ..., disabledfill: str = ..., disabledstipple: str = ..., fill: str = ..., font: _FontDescription = ..., justify: Literal["left", "center", "right"] = ..., offset: float | str = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., text: float | str = ..., width: float | str = ..., ) -> int: ... @overload def create_text( self, coords: tuple[float, float] | list[int] | list[float], /, *, activefill: str = ..., activestipple: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., angle: float | str = ..., disabledfill: str = ..., disabledstipple: str = ..., fill: str = ..., font: _FontDescription = ..., justify: Literal["left", "center", "right"] = ..., offset: float | str = ..., state: Literal["normal", "hidden", "disabled"] = ..., stipple: str = ..., tags: str | list[str] | tuple[str, ...] = ..., text: float | str = ..., width: float | str = ..., ) -> int: ... @overload def create_window( self, x: float, y: float, /, *, anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., height: float | str = ..., state: Literal["normal", "hidden", "disabled"] = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., window: Widget = ..., ) -> int: ... @overload def create_window( self, coords: tuple[float, float] | list[int] | list[float], /, *, anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., height: float | str = ..., state: Literal["normal", "hidden", "disabled"] = ..., tags: str | list[str] | tuple[str, ...] = ..., width: float | str = ..., window: Widget = ..., ) -> int: ... def dchars(self, *args) -> None: ... def delete(self, *tagsOrCanvasIds: str | int) -> None: ... @overload def dtag(self, tag: str, tag_to_delete: str | None = ..., /) -> None: ... @overload def dtag(self, id: int, tag_to_delete: str, /) -> None: ... def focus(self, *args): ... def gettags(self, tagOrId: str | int, /) -> tuple[str, ...]: ... def icursor(self, *args) -> None: ... def index(self, *args): ... def insert(self, *args) -> None: ... def itemcget(self, tagOrId, option): ... # itemconfigure kwargs depend on item type, which is not known when type checking def itemconfigure( self, tagOrId: str | int, cnf: dict[str, Any] | None = None, **kw: Any ) -> dict[str, tuple[str, str, str, str, str]] | None: ... itemconfig = itemconfigure def move(self, *args) -> None: ... def moveto(self, tagOrId: str | int, x: Literal[""] | float = "", y: Literal[""] | float = "") -> None: ... def postscript(self, cnf={}, **kw): ... # tkinter does: # lower = tag_lower # lift = tkraise = tag_raise # # But mypy doesn't like aliasing here (maybe because Misc defines the same names) def tag_lower(self, first: str | int, second: str | int | None = ..., /) -> None: ... def lower(self, first: str | int, second: str | int | None = ..., /) -> None: ... # type: ignore[override] def tag_raise(self, first: str | int, second: str | int | None = ..., /) -> None: ... def tkraise(self, first: str | int, second: str | int | None = ..., /) -> None: ... # type: ignore[override] def lift(self, first: str | int, second: str | int | None = ..., /) -> None: ... # type: ignore[override] def scale(self, tagOrId: str | int, xOrigin: float | str, yOrigin: float | str, xScale: float, yScale: float, /) -> None: ... def scan_mark(self, x, y) -> None: ... def scan_dragto(self, x, y, gain: int = 10) -> None: ... def select_adjust(self, tagOrId, index) -> None: ... def select_clear(self) -> None: ... def select_from(self, tagOrId, index) -> None: ... def select_item(self): ... def select_to(self, tagOrId, index) -> None: ... def type(self, tagOrId: str | int) -> int | None: ... class Checkbutton(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = "center", background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = "", border: float | str = ..., borderwidth: float | str = ..., command: str | Callable[[], Any] = "", compound: Literal["top", "left", "center", "right", "bottom", "none"] = "none", cursor: _Cursor = "", disabledforeground: str = ..., fg: str = ..., font: _FontDescription = "TkDefaultFont", foreground: str = ..., height: float | str = 0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 1, image: _Image | str = "", indicatoron: bool = True, justify: Literal["left", "center", "right"] = "center", name: str = ..., offrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., # The checkbutton puts a value to its variable when it's checked or # unchecked. We don't restrict the type of that value here, so # Any-typing is fine. # # I think Checkbutton shouldn't be generic, because then specifying # "any checkbutton regardless of what variable it uses" would be # difficult, and we might run into issues just like how list[float] # and list[int] are incompatible. Also, we would need a way to # specify "Checkbutton not associated with any variable", which is # done by setting variable to empty string (the default). offvalue: Any = 0, onvalue: Any = 1, overrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove", ""] = "", padx: float | str = 1, pady: float | str = 1, relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", selectcolor: str = ..., selectimage: _Image | str = "", state: Literal["normal", "active", "disabled"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", text: float | str = "", textvariable: Variable = ..., tristateimage: _Image | str = "", tristatevalue: Any = "", underline: int = -1, variable: Variable | Literal[""] = ..., width: float | str = 0, wraplength: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = ..., border: float | str = ..., borderwidth: float | str = ..., command: str | Callable[[], Any] = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., cursor: _Cursor = ..., disabledforeground: str = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., image: _Image | str = ..., indicatoron: bool = ..., justify: Literal["left", "center", "right"] = ..., offrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., offvalue: Any = ..., onvalue: Any = ..., overrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove", ""] = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectcolor: str = ..., selectimage: _Image | str = ..., state: Literal["normal", "active", "disabled"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: Variable = ..., tristateimage: _Image | str = ..., tristatevalue: Any = ..., underline: int = ..., variable: Variable | Literal[""] = ..., width: float | str = ..., wraplength: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def deselect(self) -> None: ... def flash(self) -> None: ... def invoke(self) -> Any: ... def select(self) -> None: ... def toggle(self) -> None: ... class Entry(Widget, XView): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = "xterm", disabledbackground: str = ..., disabledforeground: str = ..., exportselection: bool = True, fg: str = ..., font: _FontDescription = "TkTextFont", foreground: str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., insertbackground: str = ..., insertborderwidth: float | str = 0, insertofftime: int = 300, insertontime: int = 600, insertwidth: float | str = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", invcmd: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", # same as invalidcommand justify: Literal["left", "center", "right"] = "left", name: str = ..., readonlybackground: str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "sunken", selectbackground: str = ..., selectborderwidth: float | str = ..., selectforeground: str = ..., show: str = "", state: Literal["normal", "disabled", "readonly"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", textvariable: Variable = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = "none", validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", vcmd: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", # same as validatecommand width: int = 20, xscrollcommand: str | Callable[[float, float], object] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., disabledbackground: str = ..., disabledforeground: str = ..., exportselection: bool = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., insertbackground: str = ..., insertborderwidth: float | str = ..., insertofftime: int = ..., insertontime: int = ..., insertwidth: float | str = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., invcmd: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., justify: Literal["left", "center", "right"] = ..., readonlybackground: str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectbackground: str = ..., selectborderwidth: float | str = ..., selectforeground: str = ..., show: str = ..., state: Literal["normal", "disabled", "readonly"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: Variable = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = ..., validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., vcmd: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., width: int = ..., xscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def delete(self, first: str | int, last: str | int | None = None) -> None: ... def get(self) -> str: ... def icursor(self, index: str | int) -> None: ... def index(self, index: str | int) -> int: ... def insert(self, index: str | int, string: str) -> None: ... def scan_mark(self, x) -> None: ... def scan_dragto(self, x) -> None: ... def selection_adjust(self, index: str | int) -> None: ... def selection_clear(self) -> None: ... # type: ignore[override] def selection_from(self, index: str | int) -> None: ... def selection_present(self) -> bool: ... def selection_range(self, start: str | int, end: str | int) -> None: ... def selection_to(self, index: str | int) -> None: ... select_adjust = selection_adjust select_clear = selection_clear select_from = selection_from select_present = selection_present select_range = selection_range select_to = selection_to class Frame(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, background: str = ..., bd: float | str = 0, bg: str = ..., border: float | str = 0, borderwidth: float | str = 0, class_: str = "Frame", # can't be changed with configure() colormap: Literal["new", ""] | Misc = "", # can't be changed with configure() container: bool = False, # can't be changed with configure() cursor: _Cursor = "", height: float | str = 0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 0, name: str = ..., padx: float | str = 0, pady: float | str = 0, relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = 0, visual: str | tuple[str, int] = "", # can't be changed with configure() width: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Label(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = "center", background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = "", border: float | str = ..., borderwidth: float | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = "none", cursor: _Cursor = "", disabledforeground: str = ..., fg: str = ..., font: _FontDescription = "TkDefaultFont", foreground: str = ..., height: float | str = 0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 0, image: _Image | str = "", justify: Literal["left", "center", "right"] = "center", name: str = ..., padx: float | str = 1, pady: float | str = 1, relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", state: Literal["normal", "active", "disabled"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = 0, text: float | str = "", textvariable: Variable = ..., underline: int = -1, width: float | str = 0, wraplength: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = ..., border: float | str = ..., borderwidth: float | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., cursor: _Cursor = ..., disabledforeground: str = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., image: _Image | str = ..., justify: Literal["left", "center", "right"] = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., state: Literal["normal", "active", "disabled"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: Variable = ..., underline: int = ..., width: float | str = ..., wraplength: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Listbox(Widget, XView, YView): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activestyle: Literal["dotbox", "none", "underline"] = ..., background: str = ..., bd: float | str = 1, bg: str = ..., border: float | str = 1, borderwidth: float | str = 1, cursor: _Cursor = "", disabledforeground: str = ..., exportselection: bool | Literal[0, 1] = 1, fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: int = 10, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., justify: Literal["left", "center", "right"] = "left", # There's no tkinter.ListVar, but seems like bare tkinter.Variable # actually works for this: # # >>> import tkinter # >>> lb = tkinter.Listbox() # >>> var = lb['listvariable'] = tkinter.Variable() # >>> var.set(['foo', 'bar', 'baz']) # >>> lb.get(0, 'end') # ('foo', 'bar', 'baz') listvariable: Variable = ..., name: str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectbackground: str = ..., selectborderwidth: float | str = 0, selectforeground: str = ..., # from listbox man page: "The value of the [selectmode] option may be # arbitrary, but the default bindings expect it to be either single, # browse, multiple, or extended" # # I have never seen anyone setting this to something else than what # "the default bindings expect", but let's support it anyway. selectmode: str | Literal["single", "browse", "multiple", "extended"] = "browse", # noqa: Y051 setgrid: bool = False, state: Literal["normal", "disabled"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", width: int = 20, xscrollcommand: str | Callable[[float, float], object] = "", yscrollcommand: str | Callable[[float, float], object] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activestyle: Literal["dotbox", "none", "underline"] = ..., background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., disabledforeground: str = ..., exportselection: bool = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: int = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., justify: Literal["left", "center", "right"] = ..., listvariable: Variable = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectbackground: str = ..., selectborderwidth: float | str = ..., selectforeground: str = ..., selectmode: str | Literal["single", "browse", "multiple", "extended"] = ..., # noqa: Y051 setgrid: bool = ..., state: Literal["normal", "disabled"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: int = ..., xscrollcommand: str | Callable[[float, float], object] = ..., yscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def activate(self, index: str | int) -> None: ... def bbox(self, index: str | int) -> tuple[int, int, int, int] | None: ... # type: ignore[override] def curselection(self): ... def delete(self, first: str | int, last: str | int | None = None) -> None: ... def get(self, first: str | int, last: str | int | None = None): ... def index(self, index: str | int) -> int: ... def insert(self, index: str | int, *elements: str | float) -> None: ... def nearest(self, y): ... def scan_mark(self, x, y) -> None: ... def scan_dragto(self, x, y) -> None: ... def see(self, index: str | int) -> None: ... def selection_anchor(self, index: str | int) -> None: ... select_anchor = selection_anchor def selection_clear(self, first: str | int, last: str | int | None = None) -> None: ... # type: ignore[override] select_clear = selection_clear def selection_includes(self, index: str | int): ... select_includes = selection_includes def selection_set(self, first: str | int, last: str | int | None = None) -> None: ... select_set = selection_set def size(self) -> int: ... # type: ignore[override] def itemcget(self, index: str | int, option): ... def itemconfigure(self, index: str | int, cnf=None, **kw): ... itemconfig = itemconfigure class Menu(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., activeborderwidth: float | str = ..., activeforeground: str = ..., background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = "arrow", disabledforeground: str = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., name: str = ..., postcommand: Callable[[], object] | str = "", relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectcolor: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = 0, tearoff: bool | Literal[0, 1] = 1, # I guess tearoffcommand arguments are supposed to be widget objects, # but they are widget name strings. Use nametowidget() to handle the # arguments of tearoffcommand. tearoffcommand: Callable[[str, str], object] | str = "", title: str = "", type: Literal["menubar", "tearoff", "normal"] = "normal", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., activeborderwidth: float | str = ..., activeforeground: str = ..., background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., disabledforeground: str = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., postcommand: Callable[[], object] | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectcolor: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., tearoff: bool = ..., tearoffcommand: Callable[[str, str], object] | str = ..., title: str = ..., type: Literal["menubar", "tearoff", "normal"] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def tk_popup(self, x: int, y: int, entry: str | int = "") -> None: ... def activate(self, index: str | int) -> None: ... def add(self, itemType, cnf={}, **kw): ... # docstring says "Internal function." def insert(self, index, itemType, cnf={}, **kw): ... # docstring says "Internal function." def add_cascade( self, cnf: dict[str, Any] | None = {}, *, accelerator: str = ..., activebackground: str = ..., activeforeground: str = ..., background: str = ..., bitmap: str = ..., columnbreak: int = ..., command: Callable[[], object] | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., font: _FontDescription = ..., foreground: str = ..., hidemargin: bool = ..., image: _Image | str = ..., label: str = ..., menu: Menu = ..., state: Literal["normal", "active", "disabled"] = ..., underline: int = ..., ) -> None: ... def add_checkbutton( self, cnf: dict[str, Any] | None = {}, *, accelerator: str = ..., activebackground: str = ..., activeforeground: str = ..., background: str = ..., bitmap: str = ..., columnbreak: int = ..., command: Callable[[], object] | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., font: _FontDescription = ..., foreground: str = ..., hidemargin: bool = ..., image: _Image | str = ..., indicatoron: bool = ..., label: str = ..., offvalue: Any = ..., onvalue: Any = ..., selectcolor: str = ..., selectimage: _Image | str = ..., state: Literal["normal", "active", "disabled"] = ..., underline: int = ..., variable: Variable = ..., ) -> None: ... def add_command( self, cnf: dict[str, Any] | None = {}, *, accelerator: str = ..., activebackground: str = ..., activeforeground: str = ..., background: str = ..., bitmap: str = ..., columnbreak: int = ..., command: Callable[[], object] | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., font: _FontDescription = ..., foreground: str = ..., hidemargin: bool = ..., image: _Image | str = ..., label: str = ..., state: Literal["normal", "active", "disabled"] = ..., underline: int = ..., ) -> None: ... def add_radiobutton( self, cnf: dict[str, Any] | None = {}, *, accelerator: str = ..., activebackground: str = ..., activeforeground: str = ..., background: str = ..., bitmap: str = ..., columnbreak: int = ..., command: Callable[[], object] | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., font: _FontDescription = ..., foreground: str = ..., hidemargin: bool = ..., image: _Image | str = ..., indicatoron: bool = ..., label: str = ..., selectcolor: str = ..., selectimage: _Image | str = ..., state: Literal["normal", "active", "disabled"] = ..., underline: int = ..., value: Any = ..., variable: Variable = ..., ) -> None: ... def add_separator(self, cnf: dict[str, Any] | None = {}, *, background: str = ...) -> None: ... def insert_cascade( self, index: str | int, cnf: dict[str, Any] | None = {}, *, accelerator: str = ..., activebackground: str = ..., activeforeground: str = ..., background: str = ..., bitmap: str = ..., columnbreak: int = ..., command: Callable[[], object] | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., font: _FontDescription = ..., foreground: str = ..., hidemargin: bool = ..., image: _Image | str = ..., label: str = ..., menu: Menu = ..., state: Literal["normal", "active", "disabled"] = ..., underline: int = ..., ) -> None: ... def insert_checkbutton( self, index: str | int, cnf: dict[str, Any] | None = {}, *, accelerator: str = ..., activebackground: str = ..., activeforeground: str = ..., background: str = ..., bitmap: str = ..., columnbreak: int = ..., command: Callable[[], object] | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., font: _FontDescription = ..., foreground: str = ..., hidemargin: bool = ..., image: _Image | str = ..., indicatoron: bool = ..., label: str = ..., offvalue: Any = ..., onvalue: Any = ..., selectcolor: str = ..., selectimage: _Image | str = ..., state: Literal["normal", "active", "disabled"] = ..., underline: int = ..., variable: Variable = ..., ) -> None: ... def insert_command( self, index: str | int, cnf: dict[str, Any] | None = {}, *, accelerator: str = ..., activebackground: str = ..., activeforeground: str = ..., background: str = ..., bitmap: str = ..., columnbreak: int = ..., command: Callable[[], object] | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., font: _FontDescription = ..., foreground: str = ..., hidemargin: bool = ..., image: _Image | str = ..., label: str = ..., state: Literal["normal", "active", "disabled"] = ..., underline: int = ..., ) -> None: ... def insert_radiobutton( self, index: str | int, cnf: dict[str, Any] | None = {}, *, accelerator: str = ..., activebackground: str = ..., activeforeground: str = ..., background: str = ..., bitmap: str = ..., columnbreak: int = ..., command: Callable[[], object] | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., font: _FontDescription = ..., foreground: str = ..., hidemargin: bool = ..., image: _Image | str = ..., indicatoron: bool = ..., label: str = ..., selectcolor: str = ..., selectimage: _Image | str = ..., state: Literal["normal", "active", "disabled"] = ..., underline: int = ..., value: Any = ..., variable: Variable = ..., ) -> None: ... def insert_separator(self, index: str | int, cnf: dict[str, Any] | None = {}, *, background: str = ...) -> None: ... def delete(self, index1: str | int, index2: str | int | None = None) -> None: ... def entrycget(self, index: str | int, option: str) -> Any: ... def entryconfigure( self, index: str | int, cnf: dict[str, Any] | None = None, **kw: Any ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... entryconfig = entryconfigure def index(self, index: str | int) -> int | None: ... def invoke(self, index: str | int) -> Any: ... def post(self, x: int, y: int) -> None: ... def type(self, index: str | int) -> Literal["cascade", "checkbutton", "command", "radiobutton", "separator"]: ... def unpost(self) -> None: ... def xposition(self, index: str | int) -> int: ... def yposition(self, index: str | int) -> int: ... class Menubutton(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = "", border: float | str = ..., borderwidth: float | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = "none", cursor: _Cursor = "", direction: Literal["above", "below", "left", "right", "flush"] = "below", disabledforeground: str = ..., fg: str = ..., font: _FontDescription = "TkDefaultFont", foreground: str = ..., height: float | str = 0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 0, image: _Image | str = "", indicatoron: bool = ..., justify: Literal["left", "center", "right"] = ..., menu: Menu = ..., name: str = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", state: Literal["normal", "active", "disabled"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = 0, text: float | str = "", textvariable: Variable = ..., underline: int = -1, width: float | str = 0, wraplength: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = ..., border: float | str = ..., borderwidth: float | str = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., cursor: _Cursor = ..., direction: Literal["above", "below", "left", "right", "flush"] = ..., disabledforeground: str = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., image: _Image | str = ..., indicatoron: bool = ..., justify: Literal["left", "center", "right"] = ..., menu: Menu = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., state: Literal["normal", "active", "disabled"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: Variable = ..., underline: int = ..., width: float | str = ..., wraplength: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Message(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = "center", aspect: int = 150, background: str = ..., bd: float | str = 1, bg: str = ..., border: float | str = 1, borderwidth: float | str = 1, cursor: _Cursor = "", fg: str = ..., font: _FontDescription = "TkDefaultFont", foreground: str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 0, justify: Literal["left", "center", "right"] = "left", name: str = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = 0, text: float | str = "", textvariable: Variable = ..., # there's width but no height width: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., aspect: int = ..., background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., justify: Literal["left", "center", "right"] = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: Variable = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Radiobutton(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = "center", background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = "", border: float | str = ..., borderwidth: float | str = ..., command: str | Callable[[], Any] = "", compound: Literal["top", "left", "center", "right", "bottom", "none"] = "none", cursor: _Cursor = "", disabledforeground: str = ..., fg: str = ..., font: _FontDescription = "TkDefaultFont", foreground: str = ..., height: float | str = 0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 1, image: _Image | str = "", indicatoron: bool = True, justify: Literal["left", "center", "right"] = "center", name: str = ..., offrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., overrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove", ""] = "", padx: float | str = 1, pady: float | str = 1, relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", selectcolor: str = ..., selectimage: _Image | str = "", state: Literal["normal", "active", "disabled"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", text: float | str = "", textvariable: Variable = ..., tristateimage: _Image | str = "", tristatevalue: Any = "", underline: int = -1, value: Any = "", variable: Variable | Literal[""] = ..., width: float | str = 0, wraplength: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., activeforeground: str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., background: str = ..., bd: float | str = ..., bg: str = ..., bitmap: str = ..., border: float | str = ..., borderwidth: float | str = ..., command: str | Callable[[], Any] = ..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., cursor: _Cursor = ..., disabledforeground: str = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., image: _Image | str = ..., indicatoron: bool = ..., justify: Literal["left", "center", "right"] = ..., offrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., overrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove", ""] = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectcolor: str = ..., selectimage: _Image | str = ..., state: Literal["normal", "active", "disabled"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: Variable = ..., tristateimage: _Image | str = ..., tristatevalue: Any = ..., underline: int = ..., value: Any = ..., variable: Variable | Literal[""] = ..., width: float | str = ..., wraplength: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def deselect(self) -> None: ... def flash(self) -> None: ... def invoke(self) -> Any: ... def select(self) -> None: ... class Scale(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., background: str = ..., bd: float | str = 1, bg: str = ..., bigincrement: float = 0.0, border: float | str = 1, borderwidth: float | str = 1, # don't know why the callback gets string instead of float command: str | Callable[[str], object] = "", cursor: _Cursor = "", digits: int = 0, fg: str = ..., font: _FontDescription = "TkDefaultFont", foreground: str = ..., from_: float = 0.0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., label: str = "", length: float | str = 100, name: str = ..., orient: Literal["horizontal", "vertical"] = "vertical", relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", repeatdelay: int = 300, repeatinterval: int = 100, resolution: float = 1.0, showvalue: bool = True, sliderlength: float | str = 30, sliderrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "raised", state: Literal["normal", "active", "disabled"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", tickinterval: float = 0.0, to: float = 100.0, troughcolor: str = ..., variable: IntVar | DoubleVar = ..., width: float | str = 15, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., background: str = ..., bd: float | str = ..., bg: str = ..., bigincrement: float = ..., border: float | str = ..., borderwidth: float | str = ..., command: str | Callable[[str], object] = ..., cursor: _Cursor = ..., digits: int = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., from_: float = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., label: str = ..., length: float | str = ..., orient: Literal["horizontal", "vertical"] = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., repeatdelay: int = ..., repeatinterval: int = ..., resolution: float = ..., showvalue: bool = ..., sliderlength: float | str = ..., sliderrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., state: Literal["normal", "active", "disabled"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., tickinterval: float = ..., to: float = ..., troughcolor: str = ..., variable: IntVar | DoubleVar = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def get(self) -> float: ... def set(self, value) -> None: ... def coords(self, value: float | None = None) -> tuple[int, int]: ... def identify(self, x, y) -> Literal["", "slider", "trough1", "trough2"]: ... class Scrollbar(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., activerelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "raised", background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., # There are many ways how the command may get called. Search for # 'SCROLLING COMMANDS' in scrollbar man page. There doesn't seem to # be any way to specify an overloaded callback function, so we say # that it can take any args while it can't in reality. command: Callable[..., tuple[float, float] | None] | str = "", cursor: _Cursor = "", elementborderwidth: float | str = -1, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 0, jump: bool = False, name: str = ..., orient: Literal["horizontal", "vertical"] = "vertical", relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., repeatdelay: int = 300, repeatinterval: int = 100, takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", troughcolor: str = ..., width: float | str = ..., ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., activerelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., command: Callable[..., tuple[float, float] | None] | str = ..., cursor: _Cursor = ..., elementborderwidth: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., jump: bool = ..., orient: Literal["horizontal", "vertical"] = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., repeatdelay: int = ..., repeatinterval: int = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., troughcolor: str = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def activate(self, index=None): ... def delta(self, deltax: int, deltay: int) -> float: ... def fraction(self, x: int, y: int) -> float: ... def identify(self, x: int, y: int) -> Literal["arrow1", "arrow2", "slider", "trough1", "trough2", ""]: ... def get(self) -> tuple[float, float, float, float] | tuple[float, float]: ... def set(self, first: float | str, last: float | str) -> None: ... _WhatToCount: TypeAlias = Literal[ "chars", "displaychars", "displayindices", "displaylines", "indices", "lines", "xpixels", "ypixels" ] class Text(Widget, XView, YView): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, autoseparators: bool = True, background: str = ..., bd: float | str = ..., bg: str = ..., blockcursor: bool = False, border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = "xterm", endline: int | Literal[""] = "", exportselection: bool = True, fg: str = ..., font: _FontDescription = "TkFixedFont", foreground: str = ..., # width is always int, but height is allowed to be screen units. # This doesn't make any sense to me, and this isn't documented. # The docs seem to say that both should be integers. height: float | str = 24, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., inactiveselectbackground: str = ..., insertbackground: str = ..., insertborderwidth: float | str = 0, insertofftime: int = 300, insertontime: int = 600, insertunfocussed: Literal["none", "hollow", "solid"] = "none", insertwidth: float | str = ..., maxundo: int = 0, name: str = ..., padx: float | str = 1, pady: float | str = 1, relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectbackground: str = ..., selectborderwidth: float | str = ..., selectforeground: str = ..., setgrid: bool = False, spacing1: float | str = 0, spacing2: float | str = 0, spacing3: float | str = 0, startline: int | Literal[""] = "", state: Literal["normal", "disabled"] = "normal", # Literal inside Tuple doesn't actually work tabs: float | str | tuple[float | str, ...] = "", tabstyle: Literal["tabular", "wordprocessor"] = "tabular", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", undo: bool = False, width: int = 80, wrap: Literal["none", "char", "word"] = "char", xscrollcommand: str | Callable[[float, float], object] = "", yscrollcommand: str | Callable[[float, float], object] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, autoseparators: bool = ..., background: str = ..., bd: float | str = ..., bg: str = ..., blockcursor: bool = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., endline: int | Literal[""] = ..., exportselection: bool = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., inactiveselectbackground: str = ..., insertbackground: str = ..., insertborderwidth: float | str = ..., insertofftime: int = ..., insertontime: int = ..., insertunfocussed: Literal["none", "hollow", "solid"] = ..., insertwidth: float | str = ..., maxundo: int = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., selectbackground: str = ..., selectborderwidth: float | str = ..., selectforeground: str = ..., setgrid: bool = ..., spacing1: float | str = ..., spacing2: float | str = ..., spacing3: float | str = ..., startline: int | Literal[""] = ..., state: Literal["normal", "disabled"] = ..., tabs: float | str | tuple[float | str, ...] = ..., tabstyle: Literal["tabular", "wordprocessor"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., undo: bool = ..., width: int = ..., wrap: Literal["none", "char", "word"] = ..., xscrollcommand: str | Callable[[float, float], object] = ..., yscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def bbox(self, index: str | float | _tkinter.Tcl_Obj | Widget) -> tuple[int, int, int, int] | None: ... # type: ignore[override] def compare( self, index1: str | float | _tkinter.Tcl_Obj | Widget, op: Literal["<", "<=", "==", ">=", ">", "!="], index2: str | float | _tkinter.Tcl_Obj | Widget, ) -> bool: ... if sys.version_info >= (3, 13): @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, *, return_ints: Literal[True], ) -> int: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg: _WhatToCount | Literal["update"], /, *, return_ints: Literal[True], ) -> int: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: Literal["update"], arg2: _WhatToCount, /, *, return_ints: Literal[True], ) -> int: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount, arg2: Literal["update"], /, *, return_ints: Literal[True], ) -> int: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount, arg2: _WhatToCount, /, *, return_ints: Literal[True], ) -> tuple[int, int]: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount | Literal["update"], arg2: _WhatToCount | Literal["update"], arg3: _WhatToCount | Literal["update"], /, *args: _WhatToCount | Literal["update"], return_ints: Literal[True], ) -> tuple[int, ...]: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, *, return_ints: Literal[False] = False, ) -> tuple[int] | None: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg: _WhatToCount | Literal["update"], /, *, return_ints: Literal[False] = False, ) -> tuple[int] | None: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: Literal["update"], arg2: _WhatToCount, /, *, return_ints: Literal[False] = False, ) -> int | None: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount, arg2: Literal["update"], /, *, return_ints: Literal[False] = False, ) -> int | None: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount, arg2: _WhatToCount, /, *, return_ints: Literal[False] = False, ) -> tuple[int, int]: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount | Literal["update"], arg2: _WhatToCount | Literal["update"], arg3: _WhatToCount | Literal["update"], /, *args: _WhatToCount | Literal["update"], return_ints: Literal[False] = False, ) -> tuple[int, ...]: ... else: @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget ) -> tuple[int] | None: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg: _WhatToCount | Literal["update"], /, ) -> tuple[int] | None: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: Literal["update"], arg2: _WhatToCount, /, ) -> int | None: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount, arg2: Literal["update"], /, ) -> int | None: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount, arg2: _WhatToCount, /, ) -> tuple[int, int]: ... @overload def count( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, arg1: _WhatToCount | Literal["update"], arg2: _WhatToCount | Literal["update"], arg3: _WhatToCount | Literal["update"], /, *args: _WhatToCount | Literal["update"], ) -> tuple[int, ...]: ... @overload def debug(self, boolean: None = None) -> bool: ... @overload def debug(self, boolean: bool) -> None: ... def delete( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget | None = None ) -> None: ... def dlineinfo(self, index: str | float | _tkinter.Tcl_Obj | Widget) -> tuple[int, int, int, int, int] | None: ... @overload def dump( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget | None = None, command: None = None, *, all: bool = ..., image: bool = ..., mark: bool = ..., tag: bool = ..., text: bool = ..., window: bool = ..., ) -> list[tuple[str, str, str]]: ... @overload def dump( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget | None, command: Callable[[str, str, str], object] | str, *, all: bool = ..., image: bool = ..., mark: bool = ..., tag: bool = ..., text: bool = ..., window: bool = ..., ) -> None: ... @overload def dump( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget | None = None, *, command: Callable[[str, str, str], object] | str, all: bool = ..., image: bool = ..., mark: bool = ..., tag: bool = ..., text: bool = ..., window: bool = ..., ) -> None: ... def edit(self, *args): ... # docstring says "Internal method" @overload def edit_modified(self, arg: None = None) -> bool: ... # actually returns Literal[0, 1] @overload def edit_modified(self, arg: bool) -> None: ... # actually returns empty string def edit_redo(self) -> None: ... # actually returns empty string def edit_reset(self) -> None: ... # actually returns empty string def edit_separator(self) -> None: ... # actually returns empty string def edit_undo(self) -> None: ... # actually returns empty string def get( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget | None = None ) -> str: ... @overload def image_cget(self, index: str | float | _tkinter.Tcl_Obj | Widget, option: Literal["image", "name"]) -> str: ... @overload def image_cget(self, index: str | float | _tkinter.Tcl_Obj | Widget, option: Literal["padx", "pady"]) -> int: ... @overload def image_cget( self, index: str | float | _tkinter.Tcl_Obj | Widget, option: Literal["align"] ) -> Literal["baseline", "bottom", "center", "top"]: ... @overload def image_cget(self, index: str | float | _tkinter.Tcl_Obj | Widget, option: str) -> Any: ... @overload def image_configure( self, index: str | float | _tkinter.Tcl_Obj | Widget, cnf: str ) -> tuple[str, str, str, str, str | int]: ... @overload def image_configure( self, index: str | float | _tkinter.Tcl_Obj | Widget, cnf: dict[str, Any] | None = None, *, align: Literal["baseline", "bottom", "center", "top"] = ..., image: _Image | str = ..., name: str = ..., padx: float | str = ..., pady: float | str = ..., ) -> dict[str, tuple[str, str, str, str, str | int]] | None: ... def image_create( self, index: str | float | _tkinter.Tcl_Obj | Widget, cnf: dict[str, Any] | None = {}, *, align: Literal["baseline", "bottom", "center", "top"] = ..., image: _Image | str = ..., name: str = ..., padx: float | str = ..., pady: float | str = ..., ) -> str: ... def image_names(self) -> tuple[str, ...]: ... def index(self, index: str | float | _tkinter.Tcl_Obj | Widget) -> str: ... def insert( self, index: str | float | _tkinter.Tcl_Obj | Widget, chars: str, *args: str | list[str] | tuple[str, ...] ) -> None: ... @overload def mark_gravity(self, markName: str, direction: None = None) -> Literal["left", "right"]: ... @overload def mark_gravity(self, markName: str, direction: Literal["left", "right"]) -> None: ... # actually returns empty string def mark_names(self) -> tuple[str, ...]: ... def mark_set(self, markName: str, index: str | float | _tkinter.Tcl_Obj | Widget) -> None: ... def mark_unset(self, *markNames: str) -> None: ... def mark_next(self, index: str | float | _tkinter.Tcl_Obj | Widget) -> str | None: ... def mark_previous(self, index: str | float | _tkinter.Tcl_Obj | Widget) -> str | None: ... # **kw of peer_create is same as the kwargs of Text.__init__ def peer_create(self, newPathName: str | Text, cnf: dict[str, Any] = {}, **kw) -> None: ... def peer_names(self) -> tuple[_tkinter.Tcl_Obj, ...]: ... def replace( self, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget, chars: str, *args: str | list[str] | tuple[str, ...], ) -> None: ... def scan_mark(self, x: int, y: int) -> None: ... def scan_dragto(self, x: int, y: int) -> None: ... def search( self, pattern: str, index: str | float | _tkinter.Tcl_Obj | Widget, stopindex: str | float | _tkinter.Tcl_Obj | Widget | None = None, forwards: bool | None = None, backwards: bool | None = None, exact: bool | None = None, regexp: bool | None = None, nocase: bool | None = None, count: Variable | None = None, elide: bool | None = None, ) -> str: ... # returns empty string for not found def see(self, index: str | float | _tkinter.Tcl_Obj | Widget) -> None: ... def tag_add( self, tagName: str, index1: str | float | _tkinter.Tcl_Obj | Widget, *args: str | float | _tkinter.Tcl_Obj | Widget ) -> None: ... # tag_bind stuff is very similar to Canvas @overload def tag_bind( self, tagName: str, sequence: str | None, func: Callable[[Event[Text]], object] | None, add: Literal["", "+"] | bool | None = None, ) -> str: ... @overload def tag_bind(self, tagName: str, sequence: str | None, func: str, add: Literal["", "+"] | bool | None = None) -> None: ... def tag_unbind(self, tagName: str, sequence: str, funcid: str | None = None) -> None: ... # allowing any string for cget instead of just Literals because there's no other way to look up tag options def tag_cget(self, tagName: str, option: str): ... @overload def tag_configure( self, tagName: str, cnf: dict[str, Any] | None = None, *, background: str = ..., bgstipple: str = ..., borderwidth: float | str = ..., border: float | str = ..., # alias for borderwidth elide: bool = ..., fgstipple: str = ..., font: _FontDescription = ..., foreground: str = ..., justify: Literal["left", "right", "center"] = ..., lmargin1: float | str = ..., lmargin2: float | str = ..., lmargincolor: str = ..., offset: float | str = ..., overstrike: bool = ..., overstrikefg: str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., rmargin: float | str = ..., rmargincolor: str = ..., selectbackground: str = ..., selectforeground: str = ..., spacing1: float | str = ..., spacing2: float | str = ..., spacing3: float | str = ..., tabs: Any = ..., # the exact type is kind of complicated, see manual page tabstyle: Literal["tabular", "wordprocessor"] = ..., underline: bool = ..., underlinefg: str = ..., wrap: Literal["none", "char", "word"] = ..., # be careful with "none" vs None ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def tag_configure(self, tagName: str, cnf: str) -> tuple[str, str, str, Any, Any]: ... tag_config = tag_configure def tag_delete(self, first_tag_name: str, /, *tagNames: str) -> None: ... # error if no tag names given def tag_lower(self, tagName: str, belowThis: str | None = None) -> None: ... def tag_names(self, index: str | float | _tkinter.Tcl_Obj | Widget | None = None) -> tuple[str, ...]: ... def tag_nextrange( self, tagName: str, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget | None = None, ) -> tuple[str, str] | tuple[()]: ... def tag_prevrange( self, tagName: str, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget | None = None, ) -> tuple[str, str] | tuple[()]: ... def tag_raise(self, tagName: str, aboveThis: str | None = None) -> None: ... def tag_ranges(self, tagName: str) -> tuple[_tkinter.Tcl_Obj, ...]: ... # tag_remove and tag_delete are different def tag_remove( self, tagName: str, index1: str | float | _tkinter.Tcl_Obj | Widget, index2: str | float | _tkinter.Tcl_Obj | Widget | None = None, ) -> None: ... @overload def window_cget(self, index: str | float | _tkinter.Tcl_Obj | Widget, option: Literal["padx", "pady"]) -> int: ... @overload def window_cget( self, index: str | float | _tkinter.Tcl_Obj | Widget, option: Literal["stretch"] ) -> bool: ... # actually returns Literal[0, 1] @overload def window_cget( self, index: str | float | _tkinter.Tcl_Obj | Widget, option: Literal["align"] ) -> Literal["baseline", "bottom", "center", "top"]: ... @overload # window is set to a widget, but read as the string name. def window_cget(self, index: str | float | _tkinter.Tcl_Obj | Widget, option: Literal["create", "window"]) -> str: ... @overload def window_cget(self, index: str | float | _tkinter.Tcl_Obj | Widget, option: str) -> Any: ... @overload def window_configure( self, index: str | float | _tkinter.Tcl_Obj | Widget, cnf: str ) -> tuple[str, str, str, str, str | int]: ... @overload def window_configure( self, index: str | float | _tkinter.Tcl_Obj | Widget, cnf: dict[str, Any] | None = None, *, align: Literal["baseline", "bottom", "center", "top"] = ..., create: str = ..., padx: float | str = ..., pady: float | str = ..., stretch: bool | Literal[0, 1] = ..., window: Misc | str = ..., ) -> dict[str, tuple[str, str, str, str, str | int]] | None: ... window_config = window_configure def window_create( self, index: str | float | _tkinter.Tcl_Obj | Widget, cnf: dict[str, Any] | None = {}, *, align: Literal["baseline", "bottom", "center", "top"] = ..., create: str = ..., padx: float | str = ..., pady: float | str = ..., stretch: bool | Literal[0, 1] = ..., window: Misc | str = ..., ) -> None: ... def window_names(self) -> tuple[str, ...]: ... def yview_pickplace(self, *what): ... # deprecated class _setit: def __init__(self, var, value, callback=None) -> None: ... def __call__(self, *args) -> None: ... # manual page: tk_optionMenu class OptionMenu(Menubutton): menuname: Incomplete def __init__( # differs from other widgets self, master: Misc | None, variable: StringVar, value: str, *values: str, # kwarg only from now on command: Callable[[StringVar], object] | None = ..., ) -> None: ... # configure, config, cget are inherited from Menubutton # destroy and __getitem__ are overridden, signature does not change # This matches tkinter's image classes (PhotoImage and BitmapImage) # and PIL's tkinter-compatible class (PIL.ImageTk.PhotoImage), # but not a plain PIL image that isn't tkinter compatible. # The reason is that PIL has width and height attributes, not methods. @type_check_only class _Image(Protocol): def width(self) -> int: ... def height(self) -> int: ... @type_check_only class _BitmapImageLike(_Image): ... @type_check_only class _PhotoImageLike(_Image): ... class Image(_Image): name: Incomplete tk: _tkinter.TkappType def __init__(self, imgtype, name=None, cnf={}, master: Misc | _tkinter.TkappType | None = None, **kw) -> None: ... def __del__(self) -> None: ... def __setitem__(self, key, value) -> None: ... def __getitem__(self, key): ... configure: Incomplete config: Incomplete def type(self): ... class PhotoImage(Image, _PhotoImageLike): # This should be kept in sync with PIL.ImageTK.PhotoImage.__init__() def __init__( self, name: str | None = None, cnf: dict[str, Any] = {}, master: Misc | _tkinter.TkappType | None = None, *, data: str | bytes = ..., # not same as data argument of put() format: str = ..., file: StrOrBytesPath = ..., gamma: float = ..., height: int = ..., palette: int | str = ..., width: int = ..., ) -> None: ... def configure( self, *, data: str | bytes = ..., format: str = ..., file: StrOrBytesPath = ..., gamma: float = ..., height: int = ..., palette: int | str = ..., width: int = ..., ) -> None: ... config = configure def blank(self) -> None: ... def cget(self, option: str) -> str: ... def __getitem__(self, key: str) -> str: ... # always string: image['height'] can be '0' if sys.version_info >= (3, 13): def copy( self, *, from_coords: Iterable[int] | None = None, zoom: int | tuple[int, int] | list[int] | None = None, subsample: int | tuple[int, int] | list[int] | None = None, ) -> PhotoImage: ... def subsample(self, x: int, y: Literal[""] = "", *, from_coords: Iterable[int] | None = None) -> PhotoImage: ... def zoom(self, x: int, y: Literal[""] = "", *, from_coords: Iterable[int] | None = None) -> PhotoImage: ... def copy_replace( self, sourceImage: PhotoImage | str, *, from_coords: Iterable[int] | None = None, to: Iterable[int] | None = None, shrink: bool = False, zoom: int | tuple[int, int] | list[int] | None = None, subsample: int | tuple[int, int] | list[int] | None = None, # `None` defaults to overlay. compositingrule: Literal["overlay", "set"] | None = None, ) -> None: ... else: def copy(self) -> PhotoImage: ... def zoom(self, x: int, y: int | Literal[""] = "") -> PhotoImage: ... def subsample(self, x: int, y: int | Literal[""] = "") -> PhotoImage: ... def get(self, x: int, y: int) -> tuple[int, int, int]: ... def put( self, data: ( str | bytes | list[str] | list[list[str]] | list[tuple[str, ...]] | tuple[str, ...] | tuple[list[str], ...] | tuple[tuple[str, ...], ...] ), to: tuple[int, int] | tuple[int, int, int, int] | None = None, ) -> None: ... if sys.version_info >= (3, 13): def read( self, filename: StrOrBytesPath, format: str | None = None, *, from_coords: Iterable[int] | None = None, to: Iterable[int] | None = None, shrink: bool = False, ) -> None: ... def write( self, filename: StrOrBytesPath, format: str | None = None, from_coords: Iterable[int] | None = None, *, background: str | None = None, grayscale: bool = False, ) -> None: ... @overload def data( self, format: str, *, from_coords: Iterable[int] | None = None, background: str | None = None, grayscale: bool = False ) -> bytes: ... @overload def data( self, format: None = None, *, from_coords: Iterable[int] | None = None, background: str | None = None, grayscale: bool = False, ) -> tuple[str, ...]: ... else: def write( self, filename: StrOrBytesPath, format: str | None = None, from_coords: tuple[int, int] | None = None ) -> None: ... def transparency_get(self, x: int, y: int) -> bool: ... def transparency_set(self, x: int, y: int, boolean: bool) -> None: ... class BitmapImage(Image, _BitmapImageLike): # This should be kept in sync with PIL.ImageTK.BitmapImage.__init__() def __init__( self, name=None, cnf: dict[str, Any] = {}, master: Misc | _tkinter.TkappType | None = None, *, background: str = ..., data: str | bytes = ..., file: StrOrBytesPath = ..., foreground: str = ..., maskdata: str = ..., maskfile: StrOrBytesPath = ..., ) -> None: ... def image_names() -> tuple[str, ...]: ... def image_types() -> tuple[str, ...]: ... class Spinbox(Widget, XView): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, activebackground: str = ..., background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., buttonbackground: str = ..., buttoncursor: _Cursor = "", buttondownrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., buttonuprelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., # percent substitutions don't seem to be supported, it's similar to Entry's validation stuff command: Callable[[], object] | str | list[str] | tuple[str, ...] = "", cursor: _Cursor = "xterm", disabledbackground: str = ..., disabledforeground: str = ..., exportselection: bool = True, fg: str = ..., font: _FontDescription = "TkTextFont", foreground: str = ..., format: str = "", from_: float = 0.0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., increment: float = 1.0, insertbackground: str = ..., insertborderwidth: float | str = 0, insertofftime: int = 300, insertontime: int = 600, insertwidth: float | str = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", invcmd: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", justify: Literal["left", "center", "right"] = "left", name: str = ..., readonlybackground: str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "sunken", repeatdelay: int = 400, repeatinterval: int = 100, selectbackground: str = ..., selectborderwidth: float | str = ..., selectforeground: str = ..., state: Literal["normal", "disabled", "readonly"] = "normal", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", textvariable: Variable = ..., to: float = 0.0, validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = "none", validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", vcmd: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", values: list[str] | tuple[str, ...] = ..., width: int = 20, wrap: bool = False, xscrollcommand: str | Callable[[float, float], object] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, activebackground: str = ..., background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., buttonbackground: str = ..., buttoncursor: _Cursor = ..., buttondownrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., buttonuprelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., command: Callable[[], object] | str | list[str] | tuple[str, ...] = ..., cursor: _Cursor = ..., disabledbackground: str = ..., disabledforeground: str = ..., exportselection: bool = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., format: str = ..., from_: float = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., increment: float = ..., insertbackground: str = ..., insertborderwidth: float | str = ..., insertofftime: int = ..., insertontime: int = ..., insertwidth: float | str = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., invcmd: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., justify: Literal["left", "center", "right"] = ..., readonlybackground: str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., repeatdelay: int = ..., repeatinterval: int = ..., selectbackground: str = ..., selectborderwidth: float | str = ..., selectforeground: str = ..., state: Literal["normal", "disabled", "readonly"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: Variable = ..., to: float = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = ..., validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., vcmd: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., values: list[str] | tuple[str, ...] = ..., width: int = ..., wrap: bool = ..., xscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def bbox(self, index) -> tuple[int, int, int, int] | None: ... # type: ignore[override] def delete(self, first, last=None) -> Literal[""]: ... def get(self) -> str: ... def icursor(self, index): ... def identify(self, x: int, y: int) -> Literal["", "buttondown", "buttonup", "entry"]: ... def index(self, index: str | int) -> int: ... def insert(self, index: str | int, s: str) -> Literal[""]: ... # spinbox.invoke("asdf") gives error mentioning .invoke("none"), but it's not documented def invoke(self, element: Literal["none", "buttonup", "buttondown"]) -> Literal[""]: ... def scan(self, *args): ... def scan_mark(self, x): ... def scan_dragto(self, x): ... def selection(self, *args) -> tuple[int, ...]: ... def selection_adjust(self, index): ... def selection_clear(self): ... # type: ignore[override] def selection_element(self, element=None): ... def selection_from(self, index: int) -> None: ... def selection_present(self) -> None: ... def selection_range(self, start: int, end: int) -> None: ... def selection_to(self, index: int) -> None: ... class LabelFrame(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, background: str = ..., bd: float | str = 2, bg: str = ..., border: float | str = 2, borderwidth: float | str = 2, class_: str = "Labelframe", # can't be changed with configure() colormap: Literal["new", ""] | Misc = "", # can't be changed with configure() container: bool = False, # undocumented, can't be changed with configure() cursor: _Cursor = "", fg: str = ..., font: _FontDescription = "TkDefaultFont", foreground: str = ..., height: float | str = 0, highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = 0, # 'ne' and 'en' are valid labelanchors, but only 'ne' is a valid _Anchor. labelanchor: Literal["nw", "n", "ne", "en", "e", "es", "se", "s", "sw", "ws", "w", "wn"] = "nw", labelwidget: Misc = ..., name: str = ..., padx: float | str = 0, pady: float | str = 0, relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "groove", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = 0, text: float | str = "", visual: str | tuple[str, int] = "", # can't be changed with configure() width: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., fg: str = ..., font: _FontDescription = ..., foreground: str = ..., height: float | str = ..., highlightbackground: str = ..., highlightcolor: str = ..., highlightthickness: float | str = ..., labelanchor: Literal["nw", "n", "ne", "en", "e", "es", "se", "s", "sw", "ws", "w", "wn"] = ..., labelwidget: Misc = ..., padx: float | str = ..., pady: float | str = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class PanedWindow(Widget): def __init__( self, master: Misc | None = None, cnf: dict[str, Any] | None = {}, *, background: str = ..., bd: float | str = 1, bg: str = ..., border: float | str = 1, borderwidth: float | str = 1, cursor: _Cursor = "", handlepad: float | str = 8, handlesize: float | str = 8, height: float | str = "", name: str = ..., opaqueresize: bool = True, orient: Literal["horizontal", "vertical"] = "horizontal", proxybackground: str = "", proxyborderwidth: float | str = 2, proxyrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", sashcursor: _Cursor = "", sashpad: float | str = 0, sashrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = "flat", sashwidth: float | str = 3, showhandle: bool = False, width: float | str = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., bd: float | str = ..., bg: str = ..., border: float | str = ..., borderwidth: float | str = ..., cursor: _Cursor = ..., handlepad: float | str = ..., handlesize: float | str = ..., height: float | str = ..., opaqueresize: bool = ..., orient: Literal["horizontal", "vertical"] = ..., proxybackground: str = ..., proxyborderwidth: float | str = ..., proxyrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., sashcursor: _Cursor = ..., sashpad: float | str = ..., sashrelief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., sashwidth: float | str = ..., showhandle: bool = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def add(self, child: Widget, **kw) -> None: ... def remove(self, child) -> None: ... forget = remove # type: ignore[assignment] def identify(self, x: int, y: int): ... def proxy(self, *args) -> tuple[Incomplete, ...]: ... def proxy_coord(self) -> tuple[Incomplete, ...]: ... def proxy_forget(self) -> tuple[Incomplete, ...]: ... def proxy_place(self, x, y) -> tuple[Incomplete, ...]: ... def sash(self, *args) -> tuple[Incomplete, ...]: ... def sash_coord(self, index) -> tuple[Incomplete, ...]: ... def sash_mark(self, index) -> tuple[Incomplete, ...]: ... def sash_place(self, index, x, y) -> tuple[Incomplete, ...]: ... def panecget(self, child, option): ... def paneconfigure(self, tagOrId, cnf=None, **kw): ... paneconfig = paneconfigure def panes(self): ... def _test() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/colorchooser.pyi0000644000175100017510000000055015112307767023267 0ustar00runnerrunnerfrom tkinter import Misc from tkinter.commondialog import Dialog from typing import ClassVar __all__ = ["Chooser", "askcolor"] class Chooser(Dialog): command: ClassVar[str] def askcolor( color: str | bytes | None = None, *, initialcolor: str = ..., parent: Misc = ..., title: str = ... ) -> tuple[None, None] | tuple[tuple[int, int, int], str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/commondialog.pyi0000644000175100017510000000072415112307767023241 0ustar00runnerrunnerfrom collections.abc import Mapping from tkinter import Misc from typing import Any, ClassVar __all__ = ["Dialog"] class Dialog: command: ClassVar[str | None] master: Misc | None # Types of options are very dynamic. They depend on the command and are # sometimes changed to a different type. options: Mapping[str, Any] def __init__(self, master: Misc | None = None, **options: Any) -> None: ... def show(self, **options: Any) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/constants.pyi0000644000175100017510000000346415112307767022611 0ustar00runnerrunnerfrom typing import Final # These are not actually bools. See #4669 NO: Final[bool] YES: Final[bool] TRUE: Final[bool] FALSE: Final[bool] ON: Final[bool] OFF: Final[bool] N: Final = "n" S: Final = "s" W: Final = "w" E: Final = "e" NW: Final = "nw" SW: Final = "sw" NE: Final = "ne" SE: Final = "se" NS: Final = "ns" EW: Final = "ew" NSEW: Final = "nsew" CENTER: Final = "center" NONE: Final = "none" X: Final = "x" Y: Final = "y" BOTH: Final = "both" LEFT: Final = "left" TOP: Final = "top" RIGHT: Final = "right" BOTTOM: Final = "bottom" RAISED: Final = "raised" SUNKEN: Final = "sunken" FLAT: Final = "flat" RIDGE: Final = "ridge" GROOVE: Final = "groove" SOLID: Final = "solid" HORIZONTAL: Final = "horizontal" VERTICAL: Final = "vertical" NUMERIC: Final = "numeric" CHAR: Final = "char" WORD: Final = "word" BASELINE: Final = "baseline" INSIDE: Final = "inside" OUTSIDE: Final = "outside" SEL: Final = "sel" SEL_FIRST: Final = "sel.first" SEL_LAST: Final = "sel.last" END: Final = "end" INSERT: Final = "insert" CURRENT: Final = "current" ANCHOR: Final = "anchor" ALL: Final = "all" NORMAL: Final = "normal" DISABLED: Final = "disabled" ACTIVE: Final = "active" HIDDEN: Final = "hidden" CASCADE: Final = "cascade" CHECKBUTTON: Final = "checkbutton" COMMAND: Final = "command" RADIOBUTTON: Final = "radiobutton" SEPARATOR: Final = "separator" SINGLE: Final = "single" BROWSE: Final = "browse" MULTIPLE: Final = "multiple" EXTENDED: Final = "extended" DOTBOX: Final = "dotbox" UNDERLINE: Final = "underline" PIESLICE: Final = "pieslice" CHORD: Final = "chord" ARC: Final = "arc" FIRST: Final = "first" LAST: Final = "last" BUTT: Final = "butt" PROJECTING: Final = "projecting" ROUND: Final = "round" BEVEL: Final = "bevel" MITER: Final = "miter" MOVETO: Final = "moveto" SCROLL: Final = "scroll" UNITS: Final = "units" PAGES: Final = "pages" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/dialog.pyi0000644000175100017510000000050415112307767022024 0ustar00runnerrunnerfrom collections.abc import Mapping from tkinter import Widget from typing import Any, Final __all__ = ["Dialog"] DIALOG_ICON: Final = "questhead" class Dialog(Widget): widgetName: str num: int def __init__(self, master=None, cnf: Mapping[str, Any] = {}, **kw) -> None: ... def destroy(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/dnd.pyi0000644000175100017510000000140615112307767021334 0ustar00runnerrunnerfrom tkinter import Event, Misc, Tk, Widget from typing import ClassVar, Protocol, type_check_only __all__ = ["dnd_start", "DndHandler"] @type_check_only class _DndSource(Protocol): def dnd_end(self, target: Widget | None, event: Event[Misc] | None, /) -> None: ... class DndHandler: root: ClassVar[Tk | None] def __init__(self, source: _DndSource, event: Event[Misc]) -> None: ... def cancel(self, event: Event[Misc] | None = None) -> None: ... def finish(self, event: Event[Misc] | None, commit: int = 0) -> None: ... def on_motion(self, event: Event[Misc]) -> None: ... def on_release(self, event: Event[Misc]) -> None: ... def __del__(self) -> None: ... def dnd_start(source: _DndSource, event: Event[Misc]) -> DndHandler | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/filedialog.pyi0000644000175100017510000001207015112307767022665 0ustar00runnerrunnerfrom _typeshed import Incomplete, StrOrBytesPath, StrPath from collections.abc import Hashable, Iterable from tkinter import Button, Entry, Event, Frame, Listbox, Misc, Scrollbar, StringVar, Toplevel, commondialog from typing import IO, ClassVar, Literal __all__ = [ "FileDialog", "LoadFileDialog", "SaveFileDialog", "Open", "SaveAs", "Directory", "askopenfilename", "asksaveasfilename", "askopenfilenames", "askopenfile", "askopenfiles", "asksaveasfile", "askdirectory", ] dialogstates: dict[Hashable, tuple[str, str]] class FileDialog: title: str master: Misc directory: str | None top: Toplevel botframe: Frame selection: Entry filter: Entry midframe: Entry filesbar: Scrollbar files: Listbox dirsbar: Scrollbar dirs: Listbox ok_button: Button filter_button: Button cancel_button: Button def __init__( self, master: Misc, title: str | None = None ) -> None: ... # title is usually a str or None, but e.g. int doesn't raise en exception either how: str | None def go(self, dir_or_file: StrPath = ".", pattern: StrPath = "*", default: StrPath = "", key: Hashable | None = None): ... def quit(self, how: str | None = None) -> None: ... def dirs_double_event(self, event: Event) -> None: ... def dirs_select_event(self, event: Event) -> None: ... def files_double_event(self, event: Event) -> None: ... def files_select_event(self, event: Event) -> None: ... def ok_event(self, event: Event) -> None: ... def ok_command(self) -> None: ... def filter_command(self, event: Event | None = None) -> None: ... def get_filter(self) -> tuple[str, str]: ... def get_selection(self) -> str: ... def cancel_command(self, event: Event | None = None) -> None: ... def set_filter(self, dir: StrPath, pat: StrPath) -> None: ... def set_selection(self, file: StrPath) -> None: ... class LoadFileDialog(FileDialog): title: str def ok_command(self) -> None: ... class SaveFileDialog(FileDialog): title: str def ok_command(self) -> None: ... class _Dialog(commondialog.Dialog): ... class Open(_Dialog): command: ClassVar[str] class SaveAs(_Dialog): command: ClassVar[str] class Directory(commondialog.Dialog): command: ClassVar[str] # TODO: command kwarg available on macos def asksaveasfilename( *, confirmoverwrite: bool | None = True, defaultextension: str | None = "", filetypes: Iterable[tuple[str, str | list[str] | tuple[str, ...]]] | None = ..., initialdir: StrOrBytesPath | None = ..., initialfile: StrOrBytesPath | None = ..., parent: Misc | None = ..., title: str | None = ..., typevariable: StringVar | str | None = ..., ) -> str: ... # can be empty string def askopenfilename( *, defaultextension: str | None = "", filetypes: Iterable[tuple[str, str | list[str] | tuple[str, ...]]] | None = ..., initialdir: StrOrBytesPath | None = ..., initialfile: StrOrBytesPath | None = ..., parent: Misc | None = ..., title: str | None = ..., typevariable: StringVar | str | None = ..., ) -> str: ... # can be empty string def askopenfilenames( *, defaultextension: str | None = "", filetypes: Iterable[tuple[str, str | list[str] | tuple[str, ...]]] | None = ..., initialdir: StrOrBytesPath | None = ..., initialfile: StrOrBytesPath | None = ..., parent: Misc | None = ..., title: str | None = ..., typevariable: StringVar | str | None = ..., ) -> Literal[""] | tuple[str, ...]: ... def askdirectory( *, initialdir: StrOrBytesPath | None = ..., mustexist: bool | None = False, parent: Misc | None = ..., title: str | None = ... ) -> str: ... # can be empty string # TODO: If someone actually uses these, overload to have the actual return type of open(..., mode) def asksaveasfile( mode: str = "w", *, confirmoverwrite: bool | None = True, defaultextension: str | None = "", filetypes: Iterable[tuple[str, str | list[str] | tuple[str, ...]]] | None = ..., initialdir: StrOrBytesPath | None = ..., initialfile: StrOrBytesPath | None = ..., parent: Misc | None = ..., title: str | None = ..., typevariable: StringVar | str | None = ..., ) -> IO[Incomplete] | None: ... def askopenfile( mode: str = "r", *, defaultextension: str | None = "", filetypes: Iterable[tuple[str, str | list[str] | tuple[str, ...]]] | None = ..., initialdir: StrOrBytesPath | None = ..., initialfile: StrOrBytesPath | None = ..., parent: Misc | None = ..., title: str | None = ..., typevariable: StringVar | str | None = ..., ) -> IO[Incomplete] | None: ... def askopenfiles( mode: str = "r", *, defaultextension: str | None = "", filetypes: Iterable[tuple[str, str | list[str] | tuple[str, ...]]] | None = ..., initialdir: StrOrBytesPath | None = ..., initialfile: StrOrBytesPath | None = ..., parent: Misc | None = ..., title: str | None = ..., typevariable: StringVar | str | None = ..., ) -> tuple[IO[Incomplete], ...]: ... # can be empty tuple def test() -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/font.pyi0000644000175100017510000001077615112307767021547 0ustar00runnerrunnerimport _tkinter import itertools import sys import tkinter from typing import Any, ClassVar, Final, Literal, TypedDict, overload, type_check_only from typing_extensions import TypeAlias, Unpack __all__ = ["NORMAL", "ROMAN", "BOLD", "ITALIC", "nametofont", "Font", "families", "names"] NORMAL: Final = "normal" ROMAN: Final = "roman" BOLD: Final = "bold" ITALIC: Final = "italic" _FontDescription: TypeAlias = ( str # "Helvetica 12" | Font # A font object constructed in Python | list[Any] # ["Helvetica", 12, BOLD] | tuple[str] # ("Liberation Sans",) needs wrapping in tuple/list to handle spaces # ("Liberation Sans", 12) or ("Liberation Sans", 12, "bold", "italic", "underline") | tuple[str, int, Unpack[tuple[str, ...]]] # Any number of trailing options is permitted | tuple[str, int, list[str] | tuple[str, ...]] # Options can also be passed as list/tuple | _tkinter.Tcl_Obj # A font object constructed in Tcl ) @type_check_only class _FontDict(TypedDict): family: str size: int weight: Literal["normal", "bold"] slant: Literal["roman", "italic"] underline: bool overstrike: bool @type_check_only class _MetricsDict(TypedDict): ascent: int descent: int linespace: int fixed: bool class Font: name: str delete_font: bool counter: ClassVar[itertools.count[int]] # undocumented def __init__( self, # In tkinter, 'root' refers to tkinter.Tk by convention, but the code # actually works with any tkinter widget so we use tkinter.Misc. root: tkinter.Misc | None = None, font: _FontDescription | None = None, name: str | None = None, exists: bool = False, *, family: str = ..., size: int = ..., weight: Literal["normal", "bold"] = ..., slant: Literal["roman", "italic"] = ..., underline: bool = ..., overstrike: bool = ..., ) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __setitem__(self, key: str, value: Any) -> None: ... @overload def cget(self, option: Literal["family"]) -> str: ... @overload def cget(self, option: Literal["size"]) -> int: ... @overload def cget(self, option: Literal["weight"]) -> Literal["normal", "bold"]: ... @overload def cget(self, option: Literal["slant"]) -> Literal["roman", "italic"]: ... @overload def cget(self, option: Literal["underline", "overstrike"]) -> bool: ... @overload def cget(self, option: str) -> Any: ... __getitem__ = cget @overload def actual(self, option: Literal["family"], displayof: tkinter.Misc | None = None) -> str: ... @overload def actual(self, option: Literal["size"], displayof: tkinter.Misc | None = None) -> int: ... @overload def actual(self, option: Literal["weight"], displayof: tkinter.Misc | None = None) -> Literal["normal", "bold"]: ... @overload def actual(self, option: Literal["slant"], displayof: tkinter.Misc | None = None) -> Literal["roman", "italic"]: ... @overload def actual(self, option: Literal["underline", "overstrike"], displayof: tkinter.Misc | None = None) -> bool: ... @overload def actual(self, option: None, displayof: tkinter.Misc | None = None) -> _FontDict: ... @overload def actual(self, *, displayof: tkinter.Misc | None = None) -> _FontDict: ... def config( self, *, family: str = ..., size: int = ..., weight: Literal["normal", "bold"] = ..., slant: Literal["roman", "italic"] = ..., underline: bool = ..., overstrike: bool = ..., ) -> _FontDict | None: ... configure = config def copy(self) -> Font: ... @overload def metrics(self, option: Literal["ascent", "descent", "linespace"], /, *, displayof: tkinter.Misc | None = ...) -> int: ... @overload def metrics(self, option: Literal["fixed"], /, *, displayof: tkinter.Misc | None = ...) -> bool: ... @overload def metrics(self, *, displayof: tkinter.Misc | None = ...) -> _MetricsDict: ... def measure(self, text: str, displayof: tkinter.Misc | None = None) -> int: ... def __eq__(self, other: object) -> bool: ... def __del__(self) -> None: ... def families(root: tkinter.Misc | None = None, displayof: tkinter.Misc | None = None) -> tuple[str, ...]: ... def names(root: tkinter.Misc | None = None) -> tuple[str, ...]: ... if sys.version_info >= (3, 10): def nametofont(name: str, root: tkinter.Misc | None = None) -> Font: ... else: def nametofont(name: str) -> Font: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/messagebox.pyi0000644000175100017510000000526615112307767022734 0ustar00runnerrunnerfrom tkinter import Misc from tkinter.commondialog import Dialog from typing import ClassVar, Final, Literal __all__ = ["showinfo", "showwarning", "showerror", "askquestion", "askokcancel", "askyesno", "askyesnocancel", "askretrycancel"] ERROR: Final = "error" INFO: Final = "info" QUESTION: Final = "question" WARNING: Final = "warning" ABORTRETRYIGNORE: Final = "abortretryignore" OK: Final = "ok" OKCANCEL: Final = "okcancel" RETRYCANCEL: Final = "retrycancel" YESNO: Final = "yesno" YESNOCANCEL: Final = "yesnocancel" ABORT: Final = "abort" RETRY: Final = "retry" IGNORE: Final = "ignore" CANCEL: Final = "cancel" YES: Final = "yes" NO: Final = "no" class Message(Dialog): command: ClassVar[str] def showinfo( title: str | None = None, message: str | None = None, *, detail: str = ..., icon: Literal["error", "info", "question", "warning"] = ..., default: Literal["ok"] = "ok", parent: Misc = ..., ) -> str: ... def showwarning( title: str | None = None, message: str | None = None, *, detail: str = ..., icon: Literal["error", "info", "question", "warning"] = ..., default: Literal["ok"] = "ok", parent: Misc = ..., ) -> str: ... def showerror( title: str | None = None, message: str | None = None, *, detail: str = ..., icon: Literal["error", "info", "question", "warning"] = ..., default: Literal["ok"] = "ok", parent: Misc = ..., ) -> str: ... def askquestion( title: str | None = None, message: str | None = None, *, detail: str = ..., icon: Literal["error", "info", "question", "warning"] = ..., default: Literal["yes", "no"] = ..., parent: Misc = ..., ) -> str: ... def askokcancel( title: str | None = None, message: str | None = None, *, detail: str = ..., icon: Literal["error", "info", "question", "warning"] = ..., default: Literal["ok", "cancel"] = ..., parent: Misc = ..., ) -> bool: ... def askyesno( title: str | None = None, message: str | None = None, *, detail: str = ..., icon: Literal["error", "info", "question", "warning"] = ..., default: Literal["yes", "no"] = ..., parent: Misc = ..., ) -> bool: ... def askyesnocancel( title: str | None = None, message: str | None = None, *, detail: str = ..., icon: Literal["error", "info", "question", "warning"] = ..., default: Literal["cancel", "yes", "no"] = ..., parent: Misc = ..., ) -> bool | None: ... def askretrycancel( title: str | None = None, message: str | None = None, *, detail: str = ..., icon: Literal["error", "info", "question", "warning"] = ..., default: Literal["retry", "cancel"] = ..., parent: Misc = ..., ) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/scrolledtext.pyi0000644000175100017510000000045615112307767023307 0ustar00runnerrunnerfrom tkinter import Frame, Misc, Scrollbar, Text __all__ = ["ScrolledText"] # The methods from Pack, Place, and Grid are dynamically added over the parent's impls class ScrolledText(Text): frame: Frame vbar: Scrollbar def __init__(self, master: Misc | None = None, **kwargs) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/simpledialog.pyi0000644000175100017510000000307415112307767023243 0ustar00runnerrunnerfrom tkinter import Event, Frame, Misc, Toplevel class Dialog(Toplevel): def __init__(self, parent: Misc | None, title: str | None = None) -> None: ... def body(self, master: Frame) -> Misc | None: ... def buttonbox(self) -> None: ... def ok(self, event: Event[Misc] | None = None) -> None: ... def cancel(self, event: Event[Misc] | None = None) -> None: ... def validate(self) -> bool: ... def apply(self) -> None: ... class SimpleDialog: def __init__( self, master: Misc | None, text: str = "", buttons: list[str] = [], default: int | None = None, cancel: int | None = None, title: str | None = None, class_: str | None = None, ) -> None: ... def go(self) -> int | None: ... def return_event(self, event: Event[Misc]) -> None: ... def wm_delete_window(self) -> None: ... def done(self, num: int) -> None: ... def askfloat( title: str | None, prompt: str, *, initialvalue: float | None = ..., minvalue: float | None = ..., maxvalue: float | None = ..., parent: Misc | None = ..., ) -> float | None: ... def askinteger( title: str | None, prompt: str, *, initialvalue: int | None = ..., minvalue: int | None = ..., maxvalue: int | None = ..., parent: Misc | None = ..., ) -> int | None: ... def askstring( title: str | None, prompt: str, *, initialvalue: str | None = ..., show: str | None = ..., # minvalue/maxvalue is accepted but not useful. parent: Misc | None = ..., ) -> str | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/tix.pyi0000644000175100017510000003404715112307767021402 0ustar00runnerrunnerimport tkinter from _typeshed import Incomplete from typing import Any, Final WINDOW: Final = "window" TEXT: Final = "text" STATUS: Final = "status" IMMEDIATE: Final = "immediate" IMAGE: Final = "image" IMAGETEXT: Final = "imagetext" BALLOON: Final = "balloon" AUTO: Final = "auto" ACROSSTOP: Final = "acrosstop" ASCII: Final = "ascii" CELL: Final = "cell" COLUMN: Final = "column" DECREASING: Final = "decreasing" INCREASING: Final = "increasing" INTEGER: Final = "integer" MAIN: Final = "main" MAX: Final = "max" REAL: Final = "real" ROW: Final = "row" S_REGION: Final = "s-region" X_REGION: Final = "x-region" Y_REGION: Final = "y-region" # These should be kept in sync with _tkinter constants, except TCL_ALL_EVENTS which doesn't match ALL_EVENTS TCL_DONT_WAIT: Final = 2 TCL_WINDOW_EVENTS: Final = 4 TCL_FILE_EVENTS: Final = 8 TCL_TIMER_EVENTS: Final = 16 TCL_IDLE_EVENTS: Final = 32 TCL_ALL_EVENTS: Final = 0 class tixCommand: def tix_addbitmapdir(self, directory: str) -> None: ... def tix_cget(self, option: str) -> Any: ... def tix_configure(self, cnf: dict[str, Any] | None = None, **kw: Any) -> Any: ... def tix_filedialog(self, dlgclass: str | None = None) -> str: ... def tix_getbitmap(self, name: str) -> str: ... def tix_getimage(self, name: str) -> str: ... def tix_option_get(self, name: str) -> Any: ... def tix_resetoptions(self, newScheme: str, newFontSet: str, newScmPrio: str | None = None) -> None: ... class Tk(tkinter.Tk, tixCommand): def __init__(self, screenName: str | None = None, baseName: str | None = None, className: str = "Tix") -> None: ... class TixWidget(tkinter.Widget): def __init__( self, master: tkinter.Misc | None = None, widgetName: str | None = None, static_options: list[str] | None = None, cnf: dict[str, Any] = {}, kw: dict[str, Any] = {}, ) -> None: ... def __getattr__(self, name: str): ... def set_silent(self, value: str) -> None: ... def subwidget(self, name: str) -> tkinter.Widget: ... def subwidgets_all(self) -> list[tkinter.Widget]: ... def config_all(self, option: Any, value: Any) -> None: ... def image_create(self, imgtype: str, cnf: dict[str, Any] = {}, master: tkinter.Widget | None = None, **kw) -> None: ... def image_delete(self, imgname: str) -> None: ... class TixSubWidget(TixWidget): def __init__(self, master: tkinter.Widget, name: str, destroy_physically: int = 1, check_intermediate: int = 1) -> None: ... class DisplayStyle: def __init__(self, itemtype: str, cnf: dict[str, Any] = {}, *, master: tkinter.Widget | None = None, **kw) -> None: ... def __getitem__(self, key: str): ... def __setitem__(self, key: str, value: Any) -> None: ... def delete(self) -> None: ... def config(self, cnf: dict[str, Any] = {}, **kw): ... class Balloon(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def bind_widget(self, widget: tkinter.Widget, cnf: dict[str, Any] = {}, **kw) -> None: ... def unbind_widget(self, widget: tkinter.Widget) -> None: ... class ButtonBox(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def add(self, name: str, cnf: dict[str, Any] = {}, **kw) -> tkinter.Widget: ... def invoke(self, name: str) -> None: ... class ComboBox(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def add_history(self, str: str) -> None: ... def append_history(self, str: str) -> None: ... def insert(self, index: int, str: str) -> None: ... def pick(self, index: int) -> None: ... class Control(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def decrement(self) -> None: ... def increment(self) -> None: ... def invoke(self) -> None: ... class LabelEntry(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... class LabelFrame(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... class Meter(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... class OptionMenu(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def add_command(self, name: str, cnf: dict[str, Any] = {}, **kw) -> None: ... def add_separator(self, name: str, cnf: dict[str, Any] = {}, **kw) -> None: ... def delete(self, name: str) -> None: ... def disable(self, name: str) -> None: ... def enable(self, name: str) -> None: ... class PopupMenu(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def bind_widget(self, widget: tkinter.Widget) -> None: ... def unbind_widget(self, widget: tkinter.Widget) -> None: ... def post_widget(self, widget: tkinter.Widget, x: int, y: int) -> None: ... class Select(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def add(self, name: str, cnf: dict[str, Any] = {}, **kw) -> tkinter.Widget: ... def invoke(self, name: str) -> None: ... class StdButtonBox(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def invoke(self, name: str) -> None: ... class DirList(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def chdir(self, dir: str) -> None: ... class DirTree(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def chdir(self, dir: str) -> None: ... class DirSelectDialog(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def popup(self) -> None: ... def popdown(self) -> None: ... class DirSelectBox(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... class ExFileSelectBox(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def filter(self) -> None: ... def invoke(self) -> None: ... class FileSelectBox(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def apply_filter(self) -> None: ... def invoke(self) -> None: ... class FileEntry(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def invoke(self) -> None: ... def file_dialog(self) -> None: ... class HList(TixWidget, tkinter.XView, tkinter.YView): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def add(self, entry: str, cnf: dict[str, Any] = {}, **kw) -> tkinter.Widget: ... def add_child(self, parent: str | None = None, cnf: dict[str, Any] = {}, **kw) -> tkinter.Widget: ... def anchor_set(self, entry: str) -> None: ... def anchor_clear(self) -> None: ... # FIXME: Overload, certain combos return, others don't def column_width(self, col: int = 0, width: int | None = None, chars: int | None = None) -> int | None: ... def delete_all(self) -> None: ... def delete_entry(self, entry: str) -> None: ... def delete_offsprings(self, entry: str) -> None: ... def delete_siblings(self, entry: str) -> None: ... def dragsite_set(self, index: int) -> None: ... def dragsite_clear(self) -> None: ... def dropsite_set(self, index: int) -> None: ... def dropsite_clear(self) -> None: ... def header_create(self, col: int, cnf: dict[str, Any] = {}, **kw) -> None: ... def header_configure(self, col: int, cnf: dict[str, Any] = {}, **kw) -> Incomplete | None: ... def header_cget(self, col: int, opt): ... def header_exists(self, col: int) -> bool: ... def header_exist(self, col: int) -> bool: ... def header_delete(self, col: int) -> None: ... def header_size(self, col: int) -> int: ... def hide_entry(self, entry: str) -> None: ... def indicator_create(self, entry: str, cnf: dict[str, Any] = {}, **kw) -> None: ... def indicator_configure(self, entry: str, cnf: dict[str, Any] = {}, **kw) -> Incomplete | None: ... def indicator_cget(self, entry: str, opt): ... def indicator_exists(self, entry: str) -> bool: ... def indicator_delete(self, entry: str) -> None: ... def indicator_size(self, entry: str) -> int: ... def info_anchor(self) -> str: ... def info_bbox(self, entry: str) -> tuple[int, int, int, int]: ... def info_children(self, entry: str | None = None) -> tuple[str, ...]: ... def info_data(self, entry: str) -> Any: ... def info_dragsite(self) -> str: ... def info_dropsite(self) -> str: ... def info_exists(self, entry: str) -> bool: ... def info_hidden(self, entry: str) -> bool: ... def info_next(self, entry: str) -> str: ... def info_parent(self, entry: str) -> str: ... def info_prev(self, entry: str) -> str: ... def info_selection(self) -> tuple[str, ...]: ... def item_cget(self, entry: str, col: int, opt): ... def item_configure(self, entry: str, col: int, cnf: dict[str, Any] = {}, **kw) -> Incomplete | None: ... def item_create(self, entry: str, col: int, cnf: dict[str, Any] = {}, **kw) -> None: ... def item_exists(self, entry: str, col: int) -> bool: ... def item_delete(self, entry: str, col: int) -> None: ... def entrycget(self, entry: str, opt): ... def entryconfigure(self, entry: str, cnf: dict[str, Any] = {}, **kw) -> Incomplete | None: ... def nearest(self, y: int) -> str: ... def see(self, entry: str) -> None: ... def selection_clear(self, cnf: dict[str, Any] = {}, **kw) -> None: ... def selection_includes(self, entry: str) -> bool: ... def selection_set(self, first: str, last: str | None = None) -> None: ... def show_entry(self, entry: str) -> None: ... class CheckList(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def autosetmode(self) -> None: ... def close(self, entrypath: str) -> None: ... def getmode(self, entrypath: str) -> str: ... def open(self, entrypath: str) -> None: ... def getselection(self, mode: str = "on") -> tuple[str, ...]: ... def getstatus(self, entrypath: str) -> str: ... def setstatus(self, entrypath: str, mode: str = "on") -> None: ... class Tree(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def autosetmode(self) -> None: ... def close(self, entrypath: str) -> None: ... def getmode(self, entrypath: str) -> str: ... def open(self, entrypath: str) -> None: ... def setmode(self, entrypath: str, mode: str = "none") -> None: ... class TList(TixWidget, tkinter.XView, tkinter.YView): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def active_set(self, index: int) -> None: ... def active_clear(self) -> None: ... def anchor_set(self, index: int) -> None: ... def anchor_clear(self) -> None: ... def delete(self, from_: int, to: int | None = None) -> None: ... def dragsite_set(self, index: int) -> None: ... def dragsite_clear(self) -> None: ... def dropsite_set(self, index: int) -> None: ... def dropsite_clear(self) -> None: ... def insert(self, index: int, cnf: dict[str, Any] = {}, **kw) -> None: ... def info_active(self) -> int: ... def info_anchor(self) -> int: ... def info_down(self, index: int) -> int: ... def info_left(self, index: int) -> int: ... def info_right(self, index: int) -> int: ... def info_selection(self) -> tuple[int, ...]: ... def info_size(self) -> int: ... def info_up(self, index: int) -> int: ... def nearest(self, x: int, y: int) -> int: ... def see(self, index: int) -> None: ... def selection_clear(self, cnf: dict[str, Any] = {}, **kw) -> None: ... def selection_includes(self, index: int) -> bool: ... def selection_set(self, first: int, last: int | None = None) -> None: ... class PanedWindow(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def add(self, name: str, cnf: dict[str, Any] = {}, **kw) -> None: ... def delete(self, name: str) -> None: ... def forget(self, name: str) -> None: ... # type: ignore[override] def panecget(self, entry: str, opt): ... def paneconfigure(self, entry: str, cnf: dict[str, Any] = {}, **kw) -> Incomplete | None: ... def panes(self) -> list[tkinter.Widget]: ... class ListNoteBook(TixWidget): def __init__(self, master: tkinter.Widget | None, cnf: dict[str, Any] = {}, **kw) -> None: ... def add(self, name: str, cnf: dict[str, Any] = {}, **kw) -> None: ... def page(self, name: str) -> tkinter.Widget: ... def pages(self) -> list[tkinter.Widget]: ... def raise_page(self, name: str) -> None: ... class NoteBook(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... def add(self, name: str, cnf: dict[str, Any] = {}, **kw) -> None: ... def delete(self, name: str) -> None: ... def page(self, name: str) -> tkinter.Widget: ... def pages(self) -> list[tkinter.Widget]: ... def raise_page(self, name: str) -> None: ... def raised(self) -> bool: ... class InputOnly(TixWidget): def __init__(self, master: tkinter.Widget | None = None, cnf: dict[str, Any] = {}, **kw) -> None: ... class Form: def __setitem__(self, key: str, value: Any) -> None: ... def config(self, cnf: dict[str, Any] = {}, **kw) -> None: ... def form(self, cnf: dict[str, Any] = {}, **kw) -> None: ... def check(self) -> bool: ... def forget(self) -> None: ... def grid(self, xsize: int = 0, ysize: int = 0) -> tuple[int, int] | None: ... def info(self, option: str | None = None): ... def slaves(self) -> list[tkinter.Widget]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tkinter/ttk.pyi0000644000175100017510000015071115112307767021375 0ustar00runnerrunnerimport _tkinter import sys import tkinter from _typeshed import MaybeNone from collections.abc import Callable, Iterable from tkinter.font import _FontDescription from typing import Any, Literal, TypedDict, overload, type_check_only from typing_extensions import Never, TypeAlias, Unpack __all__ = [ "Button", "Checkbutton", "Combobox", "Entry", "Frame", "Label", "Labelframe", "LabelFrame", "Menubutton", "Notebook", "Panedwindow", "PanedWindow", "Progressbar", "Radiobutton", "Scale", "Scrollbar", "Separator", "Sizegrip", "Style", "Treeview", "LabeledScale", "OptionMenu", "tclobjs_to_py", "setup_master", "Spinbox", ] def tclobjs_to_py(adict: dict[Any, Any]) -> dict[Any, Any]: ... def setup_master(master: tkinter.Misc | None = None): ... _Padding: TypeAlias = ( float | str | tuple[float | str] | tuple[float | str, float | str] | tuple[float | str, float | str, float | str] | tuple[float | str, float | str, float | str, float | str] ) # Last item (option value to apply) varies between different options so use Any. # It could also be any iterable with items matching the tuple, but that case # hasn't been added here for consistency with _Padding above. _Statespec: TypeAlias = tuple[Unpack[tuple[str, ...]], Any] _ImageStatespec: TypeAlias = tuple[Unpack[tuple[str, ...]], tkinter._Image | str] _VsapiStatespec: TypeAlias = tuple[Unpack[tuple[str, ...]], int] class _Layout(TypedDict, total=False): side: Literal["left", "right", "top", "bottom"] sticky: str # consists of letters 'n', 's', 'w', 'e', may contain repeats, may be empty unit: Literal[0, 1] | bool children: _LayoutSpec # Note: there seem to be some other undocumented keys sometimes # This could be any sequence when passed as a parameter but will always be a list when returned. _LayoutSpec: TypeAlias = list[tuple[str, _Layout | None]] # Keep these in sync with the appropriate methods in Style class _ElementCreateImageKwargs(TypedDict, total=False): border: _Padding height: float | str padding: _Padding sticky: str width: float | str _ElementCreateArgsCrossPlatform: TypeAlias = ( # Could be any sequence here but types are not homogenous so just type it as tuple tuple[Literal["image"], tkinter._Image | str, Unpack[tuple[_ImageStatespec, ...]], _ElementCreateImageKwargs] | tuple[Literal["from"], str, str] | tuple[Literal["from"], str] # (fromelement is optional) ) if sys.platform == "win32" and sys.version_info >= (3, 13): class _ElementCreateVsapiKwargsPadding(TypedDict, total=False): padding: _Padding class _ElementCreateVsapiKwargsMargin(TypedDict, total=False): padding: _Padding class _ElementCreateVsapiKwargsSize(TypedDict): width: float | str height: float | str _ElementCreateVsapiKwargsDict: TypeAlias = ( _ElementCreateVsapiKwargsPadding | _ElementCreateVsapiKwargsMargin | _ElementCreateVsapiKwargsSize ) _ElementCreateArgs: TypeAlias = ( # noqa: Y047 # It doesn't recognise the usage below for whatever reason _ElementCreateArgsCrossPlatform | tuple[Literal["vsapi"], str, int, _ElementCreateVsapiKwargsDict] | tuple[Literal["vsapi"], str, int, _VsapiStatespec, _ElementCreateVsapiKwargsDict] ) else: _ElementCreateArgs: TypeAlias = _ElementCreateArgsCrossPlatform _ThemeSettingsValue = TypedDict( "_ThemeSettingsValue", { "configure": dict[str, Any], "map": dict[str, Iterable[_Statespec]], "layout": _LayoutSpec, "element create": _ElementCreateArgs, }, total=False, ) _ThemeSettings: TypeAlias = dict[str, _ThemeSettingsValue] class Style: master: tkinter.Misc tk: _tkinter.TkappType def __init__(self, master: tkinter.Misc | None = None) -> None: ... # For these methods, values given vary between options. Returned values # seem to be str, but this might not always be the case. @overload def configure(self, style: str) -> dict[str, Any] | None: ... # Returns None if no configuration. @overload def configure(self, style: str, query_opt: str, **kw: Any) -> Any: ... @overload def configure(self, style: str, query_opt: None = None, **kw: Any) -> None: ... @overload def map(self, style: str, query_opt: str) -> _Statespec: ... @overload def map(self, style: str, query_opt: None = None, **kw: Iterable[_Statespec]) -> dict[str, _Statespec]: ... def lookup(self, style: str, option: str, state: Iterable[str] | None = None, default: Any | None = None) -> Any: ... @overload def layout(self, style: str, layoutspec: _LayoutSpec) -> list[Never]: ... # Always seems to return an empty list @overload def layout(self, style: str, layoutspec: None = None) -> _LayoutSpec: ... @overload def element_create( self, elementname: str, etype: Literal["image"], default_image: tkinter._Image | str, /, *imagespec: _ImageStatespec, border: _Padding = ..., height: float | str = ..., padding: _Padding = ..., sticky: str = ..., width: float | str = ..., ) -> None: ... @overload def element_create(self, elementname: str, etype: Literal["from"], themename: str, fromelement: str = ..., /) -> None: ... if sys.platform == "win32" and sys.version_info >= (3, 13): # and tk version >= 8.6 # margin, padding, and (width + height) are mutually exclusive. width # and height must either both be present or not present at all. Note: # There are other undocumented options if you look at ttk's source code. @overload def element_create( self, elementname: str, etype: Literal["vsapi"], class_: str, part: int, vs_statespec: _VsapiStatespec = ..., /, *, padding: _Padding = ..., ) -> None: ... @overload def element_create( self, elementname: str, etype: Literal["vsapi"], class_: str, part: int, vs_statespec: _VsapiStatespec = ..., /, *, margin: _Padding = ..., ) -> None: ... @overload def element_create( self, elementname: str, etype: Literal["vsapi"], class_: str, part: int, vs_statespec: _VsapiStatespec = ..., /, *, width: float | str, height: float | str, ) -> None: ... def element_names(self) -> tuple[str, ...]: ... def element_options(self, elementname: str) -> tuple[str, ...]: ... def theme_create(self, themename: str, parent: str | None = None, settings: _ThemeSettings | None = None) -> None: ... def theme_settings(self, themename: str, settings: _ThemeSettings) -> None: ... def theme_names(self) -> tuple[str, ...]: ... @overload def theme_use(self, themename: str) -> None: ... @overload def theme_use(self, themename: None = None) -> str: ... class Widget(tkinter.Widget): def __init__(self, master: tkinter.Misc | None, widgetname, kw=None) -> None: ... def identify(self, x: int, y: int) -> str: ... def instate(self, statespec, callback=None, *args, **kw): ... def state(self, statespec=None): ... class Button(Widget): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", command: str | Callable[[], Any] = "", compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = "", cursor: tkinter._Cursor = "", default: Literal["normal", "active", "disabled"] = "normal", image: tkinter._Image | str = "", name: str = ..., padding=..., # undocumented state: str = "normal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = "", textvariable: tkinter.Variable = ..., underline: int = -1, width: int | Literal[""] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, command: str | Callable[[], Any] = ..., compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = ..., cursor: tkinter._Cursor = ..., default: Literal["normal", "active", "disabled"] = ..., image: tkinter._Image | str = ..., padding=..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: tkinter.Variable = ..., underline: int = ..., width: int | Literal[""] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def invoke(self) -> Any: ... class Checkbutton(Widget): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", command: str | Callable[[], Any] = "", compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = "", cursor: tkinter._Cursor = "", image: tkinter._Image | str = "", name: str = ..., offvalue: Any = 0, onvalue: Any = 1, padding=..., # undocumented state: str = "normal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = "", textvariable: tkinter.Variable = ..., underline: int = -1, # Seems like variable can be empty string, but actually setting it to # empty string segfaults before Tcl 8.6.9. Search for ttk::checkbutton # here: https://sourceforge.net/projects/tcl/files/Tcl/8.6.9/tcltk-release-notes-8.6.9.txt/view variable: tkinter.Variable = ..., width: int | Literal[""] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, command: str | Callable[[], Any] = ..., compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = ..., cursor: tkinter._Cursor = ..., image: tkinter._Image | str = ..., offvalue: Any = ..., onvalue: Any = ..., padding=..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: tkinter.Variable = ..., underline: int = ..., variable: tkinter.Variable = ..., width: int | Literal[""] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def invoke(self) -> Any: ... class Entry(Widget, tkinter.Entry): def __init__( self, master: tkinter.Misc | None = None, widget: str | None = None, *, background: str = ..., # undocumented class_: str = "", cursor: tkinter._Cursor = ..., exportselection: bool = True, font: _FontDescription = "TkTextFont", foreground: str = "", invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", justify: Literal["left", "center", "right"] = "left", name: str = ..., show: str = "", state: str = "normal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: tkinter.Variable = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = "none", validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", width: int = 20, xscrollcommand: str | Callable[[float, float], object] = "", ) -> None: ... @overload # type: ignore[override] def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., cursor: tkinter._Cursor = ..., exportselection: bool = ..., font: _FontDescription = ..., foreground: str = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., justify: Literal["left", "center", "right"] = ..., show: str = ..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: tkinter.Variable = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = ..., validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., width: int = ..., xscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... # config must be copy/pasted, otherwise ttk.Entry().config is mypy error (don't know why) @overload # type: ignore[override] def config( self, cnf: dict[str, Any] | None = None, *, background: str = ..., cursor: tkinter._Cursor = ..., exportselection: bool = ..., font: _FontDescription = ..., foreground: str = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., justify: Literal["left", "center", "right"] = ..., show: str = ..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: tkinter.Variable = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = ..., validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., width: int = ..., xscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def config(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... def bbox(self, index) -> tuple[int, int, int, int]: ... # type: ignore[override] def identify(self, x: int, y: int) -> str: ... def validate(self): ... class Combobox(Entry): def __init__( self, master: tkinter.Misc | None = None, *, background: str = ..., # undocumented class_: str = "", cursor: tkinter._Cursor = "", exportselection: bool = True, font: _FontDescription = ..., # undocumented foreground: str = ..., # undocumented height: int = 10, invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., # undocumented justify: Literal["left", "center", "right"] = "left", name: str = ..., postcommand: Callable[[], object] | str = "", show=..., # undocumented state: str = "normal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: tkinter.Variable = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = ..., # undocumented validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., # undocumented values: list[str] | tuple[str, ...] = ..., width: int = 20, xscrollcommand: str | Callable[[float, float], object] = ..., # undocumented ) -> None: ... @overload # type: ignore[override] def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., cursor: tkinter._Cursor = ..., exportselection: bool = ..., font: _FontDescription = ..., foreground: str = ..., height: int = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., justify: Literal["left", "center", "right"] = ..., postcommand: Callable[[], object] | str = ..., show=..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: tkinter.Variable = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = ..., validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., values: list[str] | tuple[str, ...] = ..., width: int = ..., xscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... # config must be copy/pasted, otherwise ttk.Combobox().config is mypy error (don't know why) @overload # type: ignore[override] def config( self, cnf: dict[str, Any] | None = None, *, background: str = ..., cursor: tkinter._Cursor = ..., exportselection: bool = ..., font: _FontDescription = ..., foreground: str = ..., height: int = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., justify: Literal["left", "center", "right"] = ..., postcommand: Callable[[], object] | str = ..., show=..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: tkinter.Variable = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = ..., validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., values: list[str] | tuple[str, ...] = ..., width: int = ..., xscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def config(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... def current(self, newindex: int | None = None) -> int: ... def set(self, value: Any) -> None: ... class Frame(Widget): # This should be kept in sync with tkinter.ttk.LabeledScale.__init__() # (all of these keyword-only arguments are also present there) def __init__( self, master: tkinter.Misc | None = None, *, border: float | str = ..., borderwidth: float | str = ..., class_: str = "", cursor: tkinter._Cursor = "", height: float | str = 0, name: str = ..., padding: _Padding = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", width: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, border: float | str = ..., borderwidth: float | str = ..., cursor: tkinter._Cursor = ..., height: float | str = ..., padding: _Padding = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Label(Widget): def __init__( self, master: tkinter.Misc | None = None, *, anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., background: str = "", border: float | str = ..., # alias for borderwidth borderwidth: float | str = ..., # undocumented class_: str = "", compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = "", cursor: tkinter._Cursor = "", font: _FontDescription = ..., foreground: str = "", image: tkinter._Image | str = "", justify: Literal["left", "center", "right"] = ..., name: str = ..., padding: _Padding = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., state: str = "normal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", text: float | str = "", textvariable: tkinter.Variable = ..., underline: int = -1, width: int | Literal[""] = "", wraplength: float | str = ..., ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., background: str = ..., border: float | str = ..., borderwidth: float | str = ..., compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = ..., cursor: tkinter._Cursor = ..., font: _FontDescription = ..., foreground: str = ..., image: tkinter._Image | str = ..., justify: Literal["left", "center", "right"] = ..., padding: _Padding = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: tkinter.Variable = ..., underline: int = ..., width: int | Literal[""] = ..., wraplength: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Labelframe(Widget): def __init__( self, master: tkinter.Misc | None = None, *, border: float | str = ..., borderwidth: float | str = ..., # undocumented class_: str = "", cursor: tkinter._Cursor = "", height: float | str = 0, labelanchor: Literal["nw", "n", "ne", "en", "e", "es", "se", "s", "sw", "ws", "w", "wn"] = ..., labelwidget: tkinter.Misc = ..., name: str = ..., padding: _Padding = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., # undocumented style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", text: float | str = "", underline: int = -1, width: float | str = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, border: float | str = ..., borderwidth: float | str = ..., cursor: tkinter._Cursor = ..., height: float | str = ..., labelanchor: Literal["nw", "n", "ne", "en", "e", "es", "se", "s", "sw", "ws", "w", "wn"] = ..., labelwidget: tkinter.Misc = ..., padding: _Padding = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., underline: int = ..., width: float | str = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure LabelFrame = Labelframe class Menubutton(Widget): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = "", cursor: tkinter._Cursor = "", direction: Literal["above", "below", "left", "right", "flush"] = "below", image: tkinter._Image | str = "", menu: tkinter.Menu = ..., name: str = ..., padding=..., # undocumented state: str = "normal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = "", textvariable: tkinter.Variable = ..., underline: int = -1, width: int | Literal[""] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = ..., cursor: tkinter._Cursor = ..., direction: Literal["above", "below", "left", "right", "flush"] = ..., image: tkinter._Image | str = ..., menu: tkinter.Menu = ..., padding=..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: tkinter.Variable = ..., underline: int = ..., width: int | Literal[""] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Notebook(Widget): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", cursor: tkinter._Cursor = "", height: int = 0, name: str = ..., padding: _Padding = ..., style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: int = 0, ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, cursor: tkinter._Cursor = ..., height: int = ..., padding: _Padding = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: int = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def add( self, child: tkinter.Widget, *, state: Literal["normal", "disabled", "hidden"] = ..., sticky: str = ..., # consists of letters 'n', 's', 'w', 'e', no repeats, may be empty padding: _Padding = ..., text: str = ..., # `image` is a sequence of an image name, followed by zero or more # (sequences of one or more state names followed by an image name) image=..., compound: Literal["top", "left", "center", "right", "bottom", "none"] = ..., underline: int = ..., ) -> None: ... def forget(self, tab_id) -> None: ... # type: ignore[override] def hide(self, tab_id) -> None: ... def identify(self, x: int, y: int) -> str: ... def index(self, tab_id): ... def insert(self, pos, child, **kw) -> None: ... def select(self, tab_id=None): ... def tab(self, tab_id, option=None, **kw): ... def tabs(self): ... def enable_traversal(self) -> None: ... class Panedwindow(Widget, tkinter.PanedWindow): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", cursor: tkinter._Cursor = "", # width and height for tkinter.ttk.Panedwindow are int but for tkinter.PanedWindow they are screen units height: int = 0, name: str = ..., orient: Literal["vertical", "horizontal"] = "vertical", # can't be changed with configure() style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", width: int = 0, ) -> None: ... def add(self, child: tkinter.Widget, *, weight: int = ..., **kw) -> None: ... @overload # type: ignore[override] def configure( self, cnf: dict[str, Any] | None = None, *, cursor: tkinter._Cursor = ..., height: int = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: int = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... # config must be copy/pasted, otherwise ttk.Panedwindow().config is mypy error (don't know why) @overload # type: ignore[override] def config( self, cnf: dict[str, Any] | None = None, *, cursor: tkinter._Cursor = ..., height: int = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., width: int = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def config(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... forget = tkinter.PanedWindow.forget def insert(self, pos, child, **kw) -> None: ... def pane(self, pane, option=None, **kw): ... def sashpos(self, index, newpos=None): ... PanedWindow = Panedwindow class Progressbar(Widget): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", cursor: tkinter._Cursor = "", length: float | str = 100, maximum: float = 100, mode: Literal["determinate", "indeterminate"] = "determinate", name: str = ..., orient: Literal["horizontal", "vertical"] = "horizontal", phase: int = 0, # docs say read-only but assigning int to this works style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", value: float = 0.0, variable: tkinter.IntVar | tkinter.DoubleVar = ..., ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, cursor: tkinter._Cursor = ..., length: float | str = ..., maximum: float = ..., mode: Literal["determinate", "indeterminate"] = ..., orient: Literal["horizontal", "vertical"] = ..., phase: int = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., value: float = ..., variable: tkinter.IntVar | tkinter.DoubleVar = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def start(self, interval: Literal["idle"] | int | None = None) -> None: ... def step(self, amount: float | None = None) -> None: ... def stop(self) -> None: ... class Radiobutton(Widget): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", command: str | Callable[[], Any] = "", compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = "", cursor: tkinter._Cursor = "", image: tkinter._Image | str = "", name: str = ..., padding=..., # undocumented state: str = "normal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = "", textvariable: tkinter.Variable = ..., underline: int = -1, value: Any = "1", variable: tkinter.Variable | Literal[""] = ..., width: int | Literal[""] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, command: str | Callable[[], Any] = ..., compound: Literal["", "text", "image", "top", "left", "center", "right", "bottom", "none"] = ..., cursor: tkinter._Cursor = ..., image: tkinter._Image | str = ..., padding=..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., text: float | str = ..., textvariable: tkinter.Variable = ..., underline: int = ..., value: Any = ..., variable: tkinter.Variable | Literal[""] = ..., width: int | Literal[""] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def invoke(self) -> Any: ... # type ignore, because identify() methods of Widget and tkinter.Scale are incompatible class Scale(Widget, tkinter.Scale): # type: ignore[misc] def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", command: str | Callable[[str], object] = "", cursor: tkinter._Cursor = "", from_: float = 0, length: float | str = 100, name: str = ..., orient: Literal["horizontal", "vertical"] = "horizontal", state: str = ..., # undocumented style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., to: float = 1.0, value: float = 0, variable: tkinter.IntVar | tkinter.DoubleVar = ..., ) -> None: ... @overload # type: ignore[override] def configure( self, cnf: dict[str, Any] | None = None, *, command: str | Callable[[str], object] = ..., cursor: tkinter._Cursor = ..., from_: float = ..., length: float | str = ..., orient: Literal["horizontal", "vertical"] = ..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., to: float = ..., value: float = ..., variable: tkinter.IntVar | tkinter.DoubleVar = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... # config must be copy/pasted, otherwise ttk.Scale().config is mypy error (don't know why) @overload # type: ignore[override] def config( self, cnf: dict[str, Any] | None = None, *, command: str | Callable[[str], object] = ..., cursor: tkinter._Cursor = ..., from_: float = ..., length: float | str = ..., orient: Literal["horizontal", "vertical"] = ..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., to: float = ..., value: float = ..., variable: tkinter.IntVar | tkinter.DoubleVar = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def config(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... def get(self, x: int | None = None, y: int | None = None) -> float: ... # type ignore, because identify() methods of Widget and tkinter.Scale are incompatible class Scrollbar(Widget, tkinter.Scrollbar): # type: ignore[misc] def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", command: Callable[..., tuple[float, float] | None] | str = "", cursor: tkinter._Cursor = "", name: str = ..., orient: Literal["horizontal", "vertical"] = "vertical", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", ) -> None: ... @overload # type: ignore[override] def configure( self, cnf: dict[str, Any] | None = None, *, command: Callable[..., tuple[float, float] | None] | str = ..., cursor: tkinter._Cursor = ..., orient: Literal["horizontal", "vertical"] = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... # config must be copy/pasted, otherwise ttk.Scrollbar().config is mypy error (don't know why) @overload # type: ignore[override] def config( self, cnf: dict[str, Any] | None = None, *, command: Callable[..., tuple[float, float] | None] | str = ..., cursor: tkinter._Cursor = ..., orient: Literal["horizontal", "vertical"] = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def config(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... class Separator(Widget): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", cursor: tkinter._Cursor = "", name: str = ..., orient: Literal["horizontal", "vertical"] = "horizontal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, cursor: tkinter._Cursor = ..., orient: Literal["horizontal", "vertical"] = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Sizegrip(Widget): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", cursor: tkinter._Cursor = ..., name: str = ..., style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, cursor: tkinter._Cursor = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure class Spinbox(Entry): def __init__( self, master: tkinter.Misc | None = None, *, background: str = ..., # undocumented class_: str = "", command: Callable[[], object] | str | list[str] | tuple[str, ...] = "", cursor: tkinter._Cursor = "", exportselection: bool = ..., # undocumented font: _FontDescription = ..., # undocumented foreground: str = ..., # undocumented format: str = "", from_: float = 0, increment: float = 1, invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., # undocumented justify: Literal["left", "center", "right"] = ..., # undocumented name: str = ..., show=..., # undocumented state: str = "normal", style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: tkinter.Variable = ..., # undocumented to: float = 0, validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = "none", validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = "", values: list[str] | tuple[str, ...] = ..., width: int = ..., # undocumented wrap: bool = False, xscrollcommand: str | Callable[[float, float], object] = "", ) -> None: ... @overload # type: ignore[override] def configure( self, cnf: dict[str, Any] | None = None, *, background: str = ..., command: Callable[[], object] | str | list[str] | tuple[str, ...] = ..., cursor: tkinter._Cursor = ..., exportselection: bool = ..., font: _FontDescription = ..., foreground: str = ..., format: str = ..., from_: float = ..., increment: float = ..., invalidcommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., justify: Literal["left", "center", "right"] = ..., show=..., state: str = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., textvariable: tkinter.Variable = ..., to: float = ..., validate: Literal["none", "focus", "focusin", "focusout", "key", "all"] = ..., validatecommand: str | list[str] | tuple[str, ...] | Callable[[], bool] = ..., values: list[str] | tuple[str, ...] = ..., width: int = ..., wrap: bool = ..., xscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure # type: ignore[assignment] def set(self, value: Any) -> None: ... @type_check_only class _TreeviewItemDict(TypedDict): text: str image: list[str] | Literal[""] # no idea why it's wrapped in list values: list[Any] | Literal[""] open: bool # actually 0 or 1 tags: list[str] | Literal[""] @type_check_only class _TreeviewTagDict(TypedDict): # There is also 'text' and 'anchor', but they don't seem to do anything, using them is likely a bug foreground: str background: str font: _FontDescription image: str # not wrapped in list :D @type_check_only class _TreeviewHeaderDict(TypedDict): text: str image: list[str] | Literal[""] anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] command: str state: str # Doesn't seem to appear anywhere else than in these dicts @type_check_only class _TreeviewColumnDict(TypedDict): width: int minwidth: int stretch: bool # actually 0 or 1 anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] id: str class Treeview(Widget, tkinter.XView, tkinter.YView): def __init__( self, master: tkinter.Misc | None = None, *, class_: str = "", columns: str | list[str] | list[int] | list[str | int] | tuple[str | int, ...] = "", cursor: tkinter._Cursor = "", displaycolumns: str | int | list[str] | tuple[str, ...] | list[int] | tuple[int, ...] = ("#all",), height: int = 10, name: str = ..., padding: _Padding = ..., selectmode: Literal["extended", "browse", "none"] = "extended", # list/tuple of Literal don't actually work in mypy # # 'tree headings' is same as ['tree', 'headings'], and I wouldn't be # surprised if someone is using it. show: Literal["tree", "headings", "tree headings", ""] | list[str] | tuple[str, ...] = ("tree", "headings"), style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., xscrollcommand: str | Callable[[float, float], object] = "", yscrollcommand: str | Callable[[float, float], object] = "", ) -> None: ... @overload def configure( self, cnf: dict[str, Any] | None = None, *, columns: str | list[str] | list[int] | list[str | int] | tuple[str | int, ...] = ..., cursor: tkinter._Cursor = ..., displaycolumns: str | int | list[str] | tuple[str, ...] | list[int] | tuple[int, ...] = ..., height: int = ..., padding: _Padding = ..., selectmode: Literal["extended", "browse", "none"] = ..., show: Literal["tree", "headings", "tree headings", ""] | list[str] | tuple[str, ...] = ..., style: str = ..., takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = ..., xscrollcommand: str | Callable[[float, float], object] = ..., yscrollcommand: str | Callable[[float, float], object] = ..., ) -> dict[str, tuple[str, str, str, Any, Any]] | None: ... @overload def configure(self, cnf: str) -> tuple[str, str, str, Any, Any]: ... config = configure def bbox(self, item: str | int, column: str | int | None = None) -> tuple[int, int, int, int] | Literal[""]: ... # type: ignore[override] def get_children(self, item: str | int | None = None) -> tuple[str, ...]: ... def set_children(self, item: str | int, *newchildren: str | int) -> None: ... @overload def column(self, column: str | int, option: Literal["width", "minwidth"]) -> int: ... @overload def column(self, column: str | int, option: Literal["stretch"]) -> bool: ... # actually 0 or 1 @overload def column(self, column: str | int, option: Literal["anchor"]) -> _tkinter.Tcl_Obj: ... @overload def column(self, column: str | int, option: Literal["id"]) -> str: ... @overload def column(self, column: str | int, option: str) -> Any: ... @overload def column( self, column: str | int, option: None = None, *, width: int = ..., minwidth: int = ..., stretch: bool = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., # id is read-only ) -> _TreeviewColumnDict | None: ... def delete(self, *items: str | int) -> None: ... def detach(self, *items: str | int) -> None: ... def exists(self, item: str | int) -> bool: ... @overload # type: ignore[override] def focus(self, item: None = None) -> str: ... # can return empty string @overload def focus(self, item: str | int) -> Literal[""]: ... @overload def heading(self, column: str | int, option: Literal["text"]) -> str: ... @overload def heading(self, column: str | int, option: Literal["image"]) -> tuple[str] | str: ... @overload def heading(self, column: str | int, option: Literal["anchor"]) -> _tkinter.Tcl_Obj: ... @overload def heading(self, column: str | int, option: Literal["command"]) -> str: ... @overload def heading(self, column: str | int, option: str) -> Any: ... @overload def heading(self, column: str | int, option: None = None) -> _TreeviewHeaderDict: ... @overload def heading( self, column: str | int, option: None = None, *, text: str = ..., image: tkinter._Image | str = ..., anchor: Literal["nw", "n", "ne", "w", "center", "e", "sw", "s", "se"] = ..., command: str | Callable[[], object] = ..., ) -> None: ... # Internal Method. Leave untyped: def identify(self, component, x, y): ... # type: ignore[override] def identify_row(self, y: int) -> str: ... def identify_column(self, x: int) -> str: ... def identify_region(self, x: int, y: int) -> Literal["heading", "separator", "tree", "cell", "nothing"]: ... def identify_element(self, x: int, y: int) -> str: ... # don't know what possible return values are def index(self, item: str | int) -> int: ... def insert( self, parent: str, index: int | Literal["end"], iid: str | int | None = None, *, id: str | int = ..., # same as iid text: str = ..., image: tkinter._Image | str = ..., values: list[Any] | tuple[Any, ...] = ..., open: bool = ..., tags: str | list[str] | tuple[str, ...] = ..., ) -> str: ... @overload def item(self, item: str | int, option: Literal["text"]) -> str: ... @overload def item(self, item: str | int, option: Literal["image"]) -> tuple[str] | Literal[""]: ... @overload def item(self, item: str | int, option: Literal["values"]) -> tuple[Any, ...] | Literal[""]: ... @overload def item(self, item: str | int, option: Literal["open"]) -> bool: ... # actually 0 or 1 @overload def item(self, item: str | int, option: Literal["tags"]) -> tuple[str, ...] | Literal[""]: ... @overload def item(self, item: str | int, option: str) -> Any: ... @overload def item(self, item: str | int, option: None = None) -> _TreeviewItemDict: ... @overload def item( self, item: str | int, option: None = None, *, text: str = ..., image: tkinter._Image | str = ..., values: list[Any] | tuple[Any, ...] | Literal[""] = ..., open: bool = ..., tags: str | list[str] | tuple[str, ...] = ..., ) -> None: ... def move(self, item: str | int, parent: str, index: int | Literal["end"]) -> None: ... reattach = move def next(self, item: str | int) -> str: ... # returning empty string means last item def parent(self, item: str | int) -> str: ... def prev(self, item: str | int) -> str: ... # returning empty string means first item def see(self, item: str | int) -> None: ... def selection(self) -> tuple[str, ...]: ... @overload def selection_set(self, items: list[str] | tuple[str, ...] | list[int] | tuple[int, ...], /) -> None: ... @overload def selection_set(self, *items: str | int) -> None: ... @overload def selection_add(self, items: list[str] | tuple[str, ...] | list[int] | tuple[int, ...], /) -> None: ... @overload def selection_add(self, *items: str | int) -> None: ... @overload def selection_remove(self, items: list[str] | tuple[str, ...] | list[int] | tuple[int, ...], /) -> None: ... @overload def selection_remove(self, *items: str | int) -> None: ... @overload def selection_toggle(self, items: list[str] | tuple[str, ...] | list[int] | tuple[int, ...], /) -> None: ... @overload def selection_toggle(self, *items: str | int) -> None: ... @overload def set(self, item: str | int, column: None = None, value: None = None) -> dict[str, Any]: ... @overload def set(self, item: str | int, column: str | int, value: None = None) -> Any: ... @overload def set(self, item: str | int, column: str | int, value: Any) -> Literal[""]: ... # There's no tag_unbind() or 'add' argument for whatever reason. # Also, it's 'callback' instead of 'func' here. @overload def tag_bind( self, tagname: str, sequence: str | None = None, callback: Callable[[tkinter.Event[Treeview]], object] | None = None ) -> str: ... @overload def tag_bind(self, tagname: str, sequence: str | None, callback: str) -> None: ... @overload def tag_bind(self, tagname: str, *, callback: str) -> None: ... @overload def tag_configure(self, tagname: str, option: Literal["foreground", "background"]) -> str: ... @overload def tag_configure(self, tagname: str, option: Literal["font"]) -> _FontDescription: ... @overload def tag_configure(self, tagname: str, option: Literal["image"]) -> str: ... @overload def tag_configure( self, tagname: str, option: None = None, *, # There is also 'text' and 'anchor', but they don't seem to do anything, using them is likely a bug foreground: str = ..., background: str = ..., font: _FontDescription = ..., image: tkinter._Image | str = ..., ) -> _TreeviewTagDict | MaybeNone: ... # can be None but annoying to check @overload def tag_has(self, tagname: str, item: None = None) -> tuple[str, ...]: ... @overload def tag_has(self, tagname: str, item: str | int) -> bool: ... class LabeledScale(Frame): label: Label scale: Scale # This should be kept in sync with tkinter.ttk.Frame.__init__() # (all the keyword-only args except compound are from there) def __init__( self, master: tkinter.Misc | None = None, variable: tkinter.IntVar | tkinter.DoubleVar | None = None, from_: float = 0, to: float = 10, *, border: float | str = ..., borderwidth: float | str = ..., class_: str = "", compound: Literal["top", "bottom"] = "top", cursor: tkinter._Cursor = "", height: float | str = 0, name: str = ..., padding: _Padding = ..., relief: Literal["raised", "sunken", "flat", "ridge", "solid", "groove"] = ..., style: str = "", takefocus: bool | Literal[0, 1, ""] | Callable[[str], bool | None] = "", width: float | str = 0, ) -> None: ... # destroy is overridden, signature does not change value: Any class OptionMenu(Menubutton): def __init__( self, master: tkinter.Misc | None, variable: tkinter.StringVar, default: str | None = None, *values: str, # rest of these are keyword-only because *args syntax used above style: str = "", direction: Literal["above", "below", "left", "right", "flush"] = "below", command: Callable[[tkinter.StringVar], object] | None = None, ) -> None: ... # configure, config, cget, destroy are inherited from Menubutton # destroy and __setitem__ are overridden, signature does not change def set_menu(self, default: str | None = None, *values: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/token.pyi0000644000175100017510000000641715112307767020236 0ustar00runnerrunnerimport sys from typing import Final __all__ = [ "AMPER", "AMPEREQUAL", "AT", "ATEQUAL", "CIRCUMFLEX", "CIRCUMFLEXEQUAL", "COLON", "COLONEQUAL", "COMMA", "DEDENT", "DOT", "DOUBLESLASH", "DOUBLESLASHEQUAL", "DOUBLESTAR", "DOUBLESTAREQUAL", "ELLIPSIS", "ENDMARKER", "EQEQUAL", "EQUAL", "ERRORTOKEN", "GREATER", "GREATEREQUAL", "INDENT", "ISEOF", "ISNONTERMINAL", "ISTERMINAL", "LBRACE", "LEFTSHIFT", "LEFTSHIFTEQUAL", "LESS", "LESSEQUAL", "LPAR", "LSQB", "MINEQUAL", "MINUS", "NAME", "NEWLINE", "NOTEQUAL", "NT_OFFSET", "NUMBER", "N_TOKENS", "OP", "PERCENT", "PERCENTEQUAL", "PLUS", "PLUSEQUAL", "RARROW", "RBRACE", "RIGHTSHIFT", "RIGHTSHIFTEQUAL", "RPAR", "RSQB", "SEMI", "SLASH", "SLASHEQUAL", "STAR", "STAREQUAL", "STRING", "TILDE", "TYPE_COMMENT", "TYPE_IGNORE", "VBAR", "VBAREQUAL", "tok_name", "ENCODING", "NL", "COMMENT", ] if sys.version_info < (3, 13): __all__ += ["ASYNC", "AWAIT"] if sys.version_info >= (3, 10): __all__ += ["SOFT_KEYWORD"] if sys.version_info >= (3, 12): __all__ += ["EXCLAMATION", "FSTRING_END", "FSTRING_MIDDLE", "FSTRING_START", "EXACT_TOKEN_TYPES"] if sys.version_info >= (3, 14): __all__ += ["TSTRING_START", "TSTRING_MIDDLE", "TSTRING_END"] ENDMARKER: Final[int] NAME: Final[int] NUMBER: Final[int] STRING: Final[int] NEWLINE: Final[int] INDENT: Final[int] DEDENT: Final[int] LPAR: Final[int] RPAR: Final[int] LSQB: Final[int] RSQB: Final[int] COLON: Final[int] COMMA: Final[int] SEMI: Final[int] PLUS: Final[int] MINUS: Final[int] STAR: Final[int] SLASH: Final[int] VBAR: Final[int] AMPER: Final[int] LESS: Final[int] GREATER: Final[int] EQUAL: Final[int] DOT: Final[int] PERCENT: Final[int] LBRACE: Final[int] RBRACE: Final[int] EQEQUAL: Final[int] NOTEQUAL: Final[int] LESSEQUAL: Final[int] GREATEREQUAL: Final[int] TILDE: Final[int] CIRCUMFLEX: Final[int] LEFTSHIFT: Final[int] RIGHTSHIFT: Final[int] DOUBLESTAR: Final[int] PLUSEQUAL: Final[int] MINEQUAL: Final[int] STAREQUAL: Final[int] SLASHEQUAL: Final[int] PERCENTEQUAL: Final[int] AMPEREQUAL: Final[int] VBAREQUAL: Final[int] CIRCUMFLEXEQUAL: Final[int] LEFTSHIFTEQUAL: Final[int] RIGHTSHIFTEQUAL: Final[int] DOUBLESTAREQUAL: Final[int] DOUBLESLASH: Final[int] DOUBLESLASHEQUAL: Final[int] AT: Final[int] RARROW: Final[int] ELLIPSIS: Final[int] ATEQUAL: Final[int] if sys.version_info < (3, 13): AWAIT: Final[int] ASYNC: Final[int] OP: Final[int] ERRORTOKEN: Final[int] N_TOKENS: Final[int] NT_OFFSET: Final[int] tok_name: Final[dict[int, str]] COMMENT: Final[int] NL: Final[int] ENCODING: Final[int] TYPE_COMMENT: Final[int] TYPE_IGNORE: Final[int] COLONEQUAL: Final[int] EXACT_TOKEN_TYPES: Final[dict[str, int]] if sys.version_info >= (3, 10): SOFT_KEYWORD: Final[int] if sys.version_info >= (3, 12): EXCLAMATION: Final[int] FSTRING_END: Final[int] FSTRING_MIDDLE: Final[int] FSTRING_START: Final[int] if sys.version_info >= (3, 14): TSTRING_START: Final[int] TSTRING_MIDDLE: Final[int] TSTRING_END: Final[int] def ISTERMINAL(x: int) -> bool: ... def ISNONTERMINAL(x: int) -> bool: ... def ISEOF(x: int) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tokenize.pyi0000644000175100017510000001250515112307767020741 0ustar00runnerrunnerimport sys from _typeshed import FileDescriptorOrPath from collections.abc import Callable, Generator, Iterable, Sequence from re import Pattern from token import * from typing import Any, Final, NamedTuple, TextIO, type_check_only from typing_extensions import TypeAlias, disjoint_base if sys.version_info < (3, 12): # Avoid double assignment to Final name by imports, which pyright objects to. # EXACT_TOKEN_TYPES is already defined by 'from token import *' above # in Python 3.12+. from token import EXACT_TOKEN_TYPES as EXACT_TOKEN_TYPES __all__ = [ "AMPER", "AMPEREQUAL", "AT", "ATEQUAL", "CIRCUMFLEX", "CIRCUMFLEXEQUAL", "COLON", "COLONEQUAL", "COMMA", "COMMENT", "DEDENT", "DOT", "DOUBLESLASH", "DOUBLESLASHEQUAL", "DOUBLESTAR", "DOUBLESTAREQUAL", "ELLIPSIS", "ENCODING", "ENDMARKER", "EQEQUAL", "EQUAL", "ERRORTOKEN", "GREATER", "GREATEREQUAL", "INDENT", "ISEOF", "ISNONTERMINAL", "ISTERMINAL", "LBRACE", "LEFTSHIFT", "LEFTSHIFTEQUAL", "LESS", "LESSEQUAL", "LPAR", "LSQB", "MINEQUAL", "MINUS", "NAME", "NEWLINE", "NL", "NOTEQUAL", "NT_OFFSET", "NUMBER", "N_TOKENS", "OP", "PERCENT", "PERCENTEQUAL", "PLUS", "PLUSEQUAL", "RARROW", "RBRACE", "RIGHTSHIFT", "RIGHTSHIFTEQUAL", "RPAR", "RSQB", "SEMI", "SLASH", "SLASHEQUAL", "STAR", "STAREQUAL", "STRING", "TILDE", "TYPE_COMMENT", "TYPE_IGNORE", "TokenInfo", "VBAR", "VBAREQUAL", "detect_encoding", "generate_tokens", "tok_name", "tokenize", "untokenize", ] if sys.version_info < (3, 13): __all__ += ["ASYNC", "AWAIT"] if sys.version_info >= (3, 10): __all__ += ["SOFT_KEYWORD"] if sys.version_info >= (3, 12): __all__ += ["EXCLAMATION", "FSTRING_END", "FSTRING_MIDDLE", "FSTRING_START", "EXACT_TOKEN_TYPES"] if sys.version_info >= (3, 13): __all__ += ["TokenError", "open"] if sys.version_info >= (3, 14): __all__ += ["TSTRING_START", "TSTRING_MIDDLE", "TSTRING_END"] cookie_re: Final[Pattern[str]] blank_re: Final[Pattern[bytes]] _Position: TypeAlias = tuple[int, int] # This class is not exposed. It calls itself tokenize.TokenInfo. @type_check_only class _TokenInfo(NamedTuple): type: int string: str start: _Position end: _Position line: str if sys.version_info >= (3, 12): class TokenInfo(_TokenInfo): @property def exact_type(self) -> int: ... else: @disjoint_base class TokenInfo(_TokenInfo): @property def exact_type(self) -> int: ... # Backwards compatible tokens can be sequences of a shorter length too _Token: TypeAlias = TokenInfo | Sequence[int | str | _Position] class TokenError(Exception): ... if sys.version_info < (3, 13): class StopTokenizing(Exception): ... # undocumented class Untokenizer: tokens: list[str] prev_row: int prev_col: int encoding: str | None def add_whitespace(self, start: _Position) -> None: ... if sys.version_info >= (3, 12): def add_backslash_continuation(self, start: _Position) -> None: ... def untokenize(self, iterable: Iterable[_Token]) -> str: ... def compat(self, token: Sequence[int | str], iterable: Iterable[_Token]) -> None: ... if sys.version_info >= (3, 12): def escape_brackets(self, token: str) -> str: ... # Returns str, unless the ENCODING token is present, in which case it returns bytes. def untokenize(iterable: Iterable[_Token]) -> str | Any: ... def detect_encoding(readline: Callable[[], bytes | bytearray]) -> tuple[str, Sequence[bytes]]: ... def tokenize(readline: Callable[[], bytes | bytearray]) -> Generator[TokenInfo, None, None]: ... def generate_tokens(readline: Callable[[], str]) -> Generator[TokenInfo, None, None]: ... def open(filename: FileDescriptorOrPath) -> TextIO: ... def group(*choices: str) -> str: ... # undocumented def any(*choices: str) -> str: ... # undocumented def maybe(*choices: str) -> str: ... # undocumented Whitespace: Final[str] # undocumented Comment: Final[str] # undocumented Ignore: Final[str] # undocumented Name: Final[str] # undocumented Hexnumber: Final[str] # undocumented Binnumber: Final[str] # undocumented Octnumber: Final[str] # undocumented Decnumber: Final[str] # undocumented Intnumber: Final[str] # undocumented Exponent: Final[str] # undocumented Pointfloat: Final[str] # undocumented Expfloat: Final[str] # undocumented Floatnumber: Final[str] # undocumented Imagnumber: Final[str] # undocumented Number: Final[str] # undocumented def _all_string_prefixes() -> set[str]: ... # undocumented StringPrefix: Final[str] # undocumented Single: Final[str] # undocumented Double: Final[str] # undocumented Single3: Final[str] # undocumented Double3: Final[str] # undocumented Triple: Final[str] # undocumented String: Final[str] # undocumented Special: Final[str] # undocumented Funny: Final[str] # undocumented PlainToken: Final[str] # undocumented Token: Final[str] # undocumented ContStr: Final[str] # undocumented PseudoExtras: Final[str] # undocumented PseudoToken: Final[str] # undocumented endpats: Final[dict[str, str]] # undocumented single_quoted: Final[set[str]] # undocumented triple_quoted: Final[set[str]] # undocumented tabsize: Final = 8 # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tomllib.pyi0000644000175100017510000000165115112307767020553 0ustar00runnerrunnerimport sys from _typeshed import SupportsRead from collections.abc import Callable from typing import Any, overload from typing_extensions import deprecated __all__ = ("loads", "load", "TOMLDecodeError") if sys.version_info >= (3, 14): class TOMLDecodeError(ValueError): msg: str doc: str pos: int lineno: int colno: int @overload def __init__(self, msg: str, doc: str, pos: int) -> None: ... @overload @deprecated("Deprecated since Python 3.14. Set the 'msg', 'doc' and 'pos' arguments only.") def __init__(self, msg: str | type = ..., doc: str | type = ..., pos: int | type = ..., *args: Any) -> None: ... else: class TOMLDecodeError(ValueError): ... def load(fp: SupportsRead[bytes], /, *, parse_float: Callable[[str], Any] = ...) -> dict[str, Any]: ... def loads(s: str, /, *, parse_float: Callable[[str], Any] = ...) -> dict[str, Any]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/trace.pyi0000644000175100017510000000702515112307767020210 0ustar00runnerrunnerimport sys import types from _typeshed import Incomplete, StrPath, TraceFunction from collections.abc import Callable, Iterable, Mapping, Sequence from typing import Any, TypeVar from typing_extensions import ParamSpec, TypeAlias __all__ = ["Trace", "CoverageResults"] _T = TypeVar("_T") _P = ParamSpec("_P") _FileModuleFunction: TypeAlias = tuple[str, str | None, str] class CoverageResults: counts: dict[tuple[str, int], int] counter: dict[tuple[str, int], int] calledfuncs: dict[_FileModuleFunction, int] callers: dict[tuple[_FileModuleFunction, _FileModuleFunction], int] inifile: StrPath | None outfile: StrPath | None def __init__( self, counts: dict[tuple[str, int], int] | None = None, calledfuncs: dict[_FileModuleFunction, int] | None = None, infile: StrPath | None = None, callers: dict[tuple[_FileModuleFunction, _FileModuleFunction], int] | None = None, outfile: StrPath | None = None, ) -> None: ... # undocumented def update(self, other: CoverageResults) -> None: ... if sys.version_info >= (3, 13): def write_results( self, show_missing: bool = True, summary: bool = False, coverdir: StrPath | None = None, *, ignore_missing_files: bool = False, ) -> None: ... else: def write_results(self, show_missing: bool = True, summary: bool = False, coverdir: StrPath | None = None) -> None: ... def write_results_file( self, path: StrPath, lines: Sequence[str], lnotab: Any, lines_hit: Mapping[int, int], encoding: str | None = None ) -> tuple[int, int]: ... def is_ignored_filename(self, filename: str) -> bool: ... # undocumented class _Ignore: def __init__(self, modules: Iterable[str] | None = None, dirs: Iterable[StrPath] | None = None) -> None: ... def names(self, filename: str, modulename: str) -> int: ... class Trace: inifile: StrPath | None outfile: StrPath | None ignore: _Ignore counts: dict[str, int] pathtobasename: dict[Incomplete, Incomplete] donothing: int trace: int start_time: int | None globaltrace: TraceFunction localtrace: TraceFunction def __init__( self, count: int = 1, trace: int = 1, countfuncs: int = 0, countcallers: int = 0, ignoremods: Sequence[str] = (), ignoredirs: Sequence[str] = (), infile: StrPath | None = None, outfile: StrPath | None = None, timing: bool = False, ) -> None: ... def run(self, cmd: str | types.CodeType) -> None: ... def runctx( self, cmd: str | types.CodeType, globals: Mapping[str, Any] | None = None, locals: Mapping[str, Any] | None = None ) -> None: ... def runfunc(self, func: Callable[_P, _T], /, *args: _P.args, **kw: _P.kwargs) -> _T: ... def file_module_function_of(self, frame: types.FrameType) -> _FileModuleFunction: ... def globaltrace_trackcallers(self, frame: types.FrameType, why: str, arg: Any) -> None: ... def globaltrace_countfuncs(self, frame: types.FrameType, why: str, arg: Any) -> None: ... def globaltrace_lt(self, frame: types.FrameType, why: str, arg: Any) -> None: ... def localtrace_trace_and_count(self, frame: types.FrameType, why: str, arg: Any) -> TraceFunction: ... def localtrace_trace(self, frame: types.FrameType, why: str, arg: Any) -> TraceFunction: ... def localtrace_count(self, frame: types.FrameType, why: str, arg: Any) -> TraceFunction: ... def results(self) -> CoverageResults: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/traceback.pyi0000644000175100017510000002655615112307767021043 0ustar00runnerrunnerimport sys from _typeshed import SupportsWrite, Unused from collections.abc import Generator, Iterable, Iterator, Mapping from types import FrameType, TracebackType from typing import Any, ClassVar, Literal, overload from typing_extensions import Self, TypeAlias, deprecated __all__ = [ "extract_stack", "extract_tb", "format_exception", "format_exception_only", "format_list", "format_stack", "format_tb", "print_exc", "format_exc", "print_exception", "print_last", "print_stack", "print_tb", "clear_frames", "FrameSummary", "StackSummary", "TracebackException", "walk_stack", "walk_tb", ] if sys.version_info >= (3, 14): __all__ += ["print_list"] _FrameSummaryTuple: TypeAlias = tuple[str, int, str, str | None] def print_tb(tb: TracebackType | None, limit: int | None = None, file: SupportsWrite[str] | None = None) -> None: ... if sys.version_info >= (3, 10): @overload def print_exception( exc: type[BaseException] | None, /, value: BaseException | None = ..., tb: TracebackType | None = ..., limit: int | None = None, file: SupportsWrite[str] | None = None, chain: bool = True, ) -> None: ... @overload def print_exception( exc: BaseException, /, *, limit: int | None = None, file: SupportsWrite[str] | None = None, chain: bool = True ) -> None: ... @overload def format_exception( exc: type[BaseException] | None, /, value: BaseException | None = ..., tb: TracebackType | None = ..., limit: int | None = None, chain: bool = True, ) -> list[str]: ... @overload def format_exception(exc: BaseException, /, *, limit: int | None = None, chain: bool = True) -> list[str]: ... else: def print_exception( etype: type[BaseException] | None, value: BaseException | None, tb: TracebackType | None, limit: int | None = None, file: SupportsWrite[str] | None = None, chain: bool = True, ) -> None: ... def format_exception( etype: type[BaseException] | None, value: BaseException | None, tb: TracebackType | None, limit: int | None = None, chain: bool = True, ) -> list[str]: ... def print_exc(limit: int | None = None, file: SupportsWrite[str] | None = None, chain: bool = True) -> None: ... def print_last(limit: int | None = None, file: SupportsWrite[str] | None = None, chain: bool = True) -> None: ... def print_stack(f: FrameType | None = None, limit: int | None = None, file: SupportsWrite[str] | None = None) -> None: ... def extract_tb(tb: TracebackType | None, limit: int | None = None) -> StackSummary: ... def extract_stack(f: FrameType | None = None, limit: int | None = None) -> StackSummary: ... def format_list(extracted_list: Iterable[FrameSummary | _FrameSummaryTuple]) -> list[str]: ... def print_list(extracted_list: Iterable[FrameSummary | _FrameSummaryTuple], file: SupportsWrite[str] | None = None) -> None: ... if sys.version_info >= (3, 13): @overload def format_exception_only(exc: BaseException | None, /, *, show_group: bool = False) -> list[str]: ... @overload def format_exception_only(exc: Unused, /, value: BaseException | None, *, show_group: bool = False) -> list[str]: ... elif sys.version_info >= (3, 10): @overload def format_exception_only(exc: BaseException | None, /) -> list[str]: ... @overload def format_exception_only(exc: Unused, /, value: BaseException | None) -> list[str]: ... else: def format_exception_only(etype: type[BaseException] | None, value: BaseException | None) -> list[str]: ... def format_exc(limit: int | None = None, chain: bool = True) -> str: ... def format_tb(tb: TracebackType | None, limit: int | None = None) -> list[str]: ... def format_stack(f: FrameType | None = None, limit: int | None = None) -> list[str]: ... def clear_frames(tb: TracebackType | None) -> None: ... def walk_stack(f: FrameType | None) -> Iterator[tuple[FrameType, int]]: ... def walk_tb(tb: TracebackType | None) -> Iterator[tuple[FrameType, int]]: ... if sys.version_info >= (3, 11): class _ExceptionPrintContext: def indent(self) -> str: ... def emit(self, text_gen: str | Iterable[str], margin_char: str | None = None) -> Generator[str, None, None]: ... class TracebackException: __cause__: TracebackException | None __context__: TracebackException | None if sys.version_info >= (3, 11): exceptions: list[TracebackException] | None __suppress_context__: bool if sys.version_info >= (3, 11): __notes__: list[str] | None stack: StackSummary # These fields only exist for `SyntaxError`s, but there is no way to express that in the type system. filename: str lineno: str | None if sys.version_info >= (3, 10): end_lineno: str | None text: str offset: int if sys.version_info >= (3, 10): end_offset: int | None msg: str if sys.version_info >= (3, 13): @property def exc_type_str(self) -> str: ... @property @deprecated("Deprecated since Python 3.13. Use `exc_type_str` instead.") def exc_type(self) -> type[BaseException] | None: ... else: exc_type: type[BaseException] if sys.version_info >= (3, 13): def __init__( self, exc_type: type[BaseException], exc_value: BaseException, exc_traceback: TracebackType | None, *, limit: int | None = None, lookup_lines: bool = True, capture_locals: bool = False, compact: bool = False, max_group_width: int = 15, max_group_depth: int = 10, save_exc_type: bool = True, _seen: set[int] | None = None, ) -> None: ... elif sys.version_info >= (3, 11): def __init__( self, exc_type: type[BaseException], exc_value: BaseException, exc_traceback: TracebackType | None, *, limit: int | None = None, lookup_lines: bool = True, capture_locals: bool = False, compact: bool = False, max_group_width: int = 15, max_group_depth: int = 10, _seen: set[int] | None = None, ) -> None: ... elif sys.version_info >= (3, 10): def __init__( self, exc_type: type[BaseException], exc_value: BaseException, exc_traceback: TracebackType | None, *, limit: int | None = None, lookup_lines: bool = True, capture_locals: bool = False, compact: bool = False, _seen: set[int] | None = None, ) -> None: ... else: def __init__( self, exc_type: type[BaseException], exc_value: BaseException, exc_traceback: TracebackType | None, *, limit: int | None = None, lookup_lines: bool = True, capture_locals: bool = False, _seen: set[int] | None = None, ) -> None: ... if sys.version_info >= (3, 11): @classmethod def from_exception( cls, exc: BaseException, *, limit: int | None = None, lookup_lines: bool = True, capture_locals: bool = False, compact: bool = False, max_group_width: int = 15, max_group_depth: int = 10, ) -> Self: ... elif sys.version_info >= (3, 10): @classmethod def from_exception( cls, exc: BaseException, *, limit: int | None = None, lookup_lines: bool = True, capture_locals: bool = False, compact: bool = False, ) -> Self: ... else: @classmethod def from_exception( cls, exc: BaseException, *, limit: int | None = None, lookup_lines: bool = True, capture_locals: bool = False ) -> Self: ... def __eq__(self, other: object) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] if sys.version_info >= (3, 11): def format(self, *, chain: bool = True, _ctx: _ExceptionPrintContext | None = None) -> Generator[str, None, None]: ... else: def format(self, *, chain: bool = True) -> Generator[str, None, None]: ... if sys.version_info >= (3, 13): def format_exception_only(self, *, show_group: bool = False, _depth: int = 0) -> Generator[str, None, None]: ... else: def format_exception_only(self) -> Generator[str, None, None]: ... if sys.version_info >= (3, 11): def print(self, *, file: SupportsWrite[str] | None = None, chain: bool = True) -> None: ... class FrameSummary: if sys.version_info >= (3, 13): __slots__ = ( "filename", "lineno", "end_lineno", "colno", "end_colno", "name", "_lines", "_lines_dedented", "locals", "_code", ) elif sys.version_info >= (3, 11): __slots__ = ("filename", "lineno", "end_lineno", "colno", "end_colno", "name", "_line", "locals") else: __slots__ = ("filename", "lineno", "name", "_line", "locals") if sys.version_info >= (3, 11): def __init__( self, filename: str, lineno: int | None, name: str, *, lookup_line: bool = True, locals: Mapping[str, str] | None = None, line: str | None = None, end_lineno: int | None = None, colno: int | None = None, end_colno: int | None = None, ) -> None: ... end_lineno: int | None colno: int | None end_colno: int | None else: def __init__( self, filename: str, lineno: int | None, name: str, *, lookup_line: bool = True, locals: Mapping[str, str] | None = None, line: str | None = None, ) -> None: ... filename: str lineno: int | None name: str locals: dict[str, str] | None @property def line(self) -> str | None: ... @overload def __getitem__(self, pos: Literal[0]) -> str: ... @overload def __getitem__(self, pos: Literal[1]) -> int: ... @overload def __getitem__(self, pos: Literal[2]) -> str: ... @overload def __getitem__(self, pos: Literal[3]) -> str | None: ... @overload def __getitem__(self, pos: int) -> Any: ... @overload def __getitem__(self, pos: slice) -> tuple[Any, ...]: ... def __iter__(self) -> Iterator[Any]: ... def __eq__(self, other: object) -> bool: ... def __len__(self) -> Literal[4]: ... __hash__: ClassVar[None] # type: ignore[assignment] class StackSummary(list[FrameSummary]): @classmethod def extract( cls, frame_gen: Iterable[tuple[FrameType, int]], *, limit: int | None = None, lookup_lines: bool = True, capture_locals: bool = False, ) -> StackSummary: ... @classmethod def from_list(cls, a_list: Iterable[FrameSummary | _FrameSummaryTuple]) -> StackSummary: ... if sys.version_info >= (3, 11): def format_frame_summary(self, frame_summary: FrameSummary) -> str: ... def format(self) -> list[str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tracemalloc.pyi0000644000175100017510000001071715112307767021402 0ustar00runnerrunnerimport sys from _tracemalloc import * from collections.abc import Sequence from typing import Any, SupportsIndex, overload from typing_extensions import TypeAlias def get_object_traceback(obj: object) -> Traceback | None: ... def take_snapshot() -> Snapshot: ... class BaseFilter: inclusive: bool def __init__(self, inclusive: bool) -> None: ... class DomainFilter(BaseFilter): @property def domain(self) -> int: ... def __init__(self, inclusive: bool, domain: int) -> None: ... class Filter(BaseFilter): domain: int | None lineno: int | None @property def filename_pattern(self) -> str: ... all_frames: bool def __init__( self, inclusive: bool, filename_pattern: str, lineno: int | None = None, all_frames: bool = False, domain: int | None = None, ) -> None: ... class Statistic: __slots__ = ("traceback", "size", "count") count: int size: int traceback: Traceback def __init__(self, traceback: Traceback, size: int, count: int) -> None: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... class StatisticDiff: __slots__ = ("traceback", "size", "size_diff", "count", "count_diff") count: int count_diff: int size: int size_diff: int traceback: Traceback def __init__(self, traceback: Traceback, size: int, size_diff: int, count: int, count_diff: int) -> None: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... _FrameTuple: TypeAlias = tuple[str, int] class Frame: __slots__ = ("_frame",) @property def filename(self) -> str: ... @property def lineno(self) -> int: ... def __init__(self, frame: _FrameTuple) -> None: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... def __lt__(self, other: Frame) -> bool: ... if sys.version_info >= (3, 11): def __gt__(self, other: Frame) -> bool: ... def __ge__(self, other: Frame) -> bool: ... def __le__(self, other: Frame) -> bool: ... else: def __gt__(self, other: Frame, NotImplemented: Any = ...) -> bool: ... def __ge__(self, other: Frame, NotImplemented: Any = ...) -> bool: ... def __le__(self, other: Frame, NotImplemented: Any = ...) -> bool: ... _TraceTuple: TypeAlias = tuple[int, int, Sequence[_FrameTuple], int | None] | tuple[int, int, Sequence[_FrameTuple]] class Trace: __slots__ = ("_trace",) @property def domain(self) -> int: ... @property def size(self) -> int: ... @property def traceback(self) -> Traceback: ... def __init__(self, trace: _TraceTuple) -> None: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... class Traceback(Sequence[Frame]): __slots__ = ("_frames", "_total_nframe") @property def total_nframe(self) -> int | None: ... def __init__(self, frames: Sequence[_FrameTuple], total_nframe: int | None = None) -> None: ... def format(self, limit: int | None = None, most_recent_first: bool = False) -> list[str]: ... @overload def __getitem__(self, index: SupportsIndex) -> Frame: ... @overload def __getitem__(self, index: slice) -> Sequence[Frame]: ... def __contains__(self, frame: Frame) -> bool: ... # type: ignore[override] def __len__(self) -> int: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... def __lt__(self, other: Traceback) -> bool: ... if sys.version_info >= (3, 11): def __gt__(self, other: Traceback) -> bool: ... def __ge__(self, other: Traceback) -> bool: ... def __le__(self, other: Traceback) -> bool: ... else: def __gt__(self, other: Traceback, NotImplemented: Any = ...) -> bool: ... def __ge__(self, other: Traceback, NotImplemented: Any = ...) -> bool: ... def __le__(self, other: Traceback, NotImplemented: Any = ...) -> bool: ... class Snapshot: def __init__(self, traces: Sequence[_TraceTuple], traceback_limit: int) -> None: ... def compare_to(self, old_snapshot: Snapshot, key_type: str, cumulative: bool = False) -> list[StatisticDiff]: ... def dump(self, filename: str) -> None: ... def filter_traces(self, filters: Sequence[DomainFilter | Filter]) -> Snapshot: ... @staticmethod def load(filename: str) -> Snapshot: ... def statistics(self, key_type: str, cumulative: bool = False) -> list[Statistic]: ... traceback_limit: int traces: Sequence[Trace] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/tty.pyi0000644000175100017510000000154715112307767017735 0ustar00runnerrunnerimport sys import termios from typing import IO, Final from typing_extensions import TypeAlias if sys.platform != "win32": __all__ = ["setraw", "setcbreak"] if sys.version_info >= (3, 12): __all__ += ["cfmakeraw", "cfmakecbreak"] _ModeSetterReturn: TypeAlias = termios._AttrReturn else: _ModeSetterReturn: TypeAlias = None _FD: TypeAlias = int | IO[str] # XXX: Undocumented integer constants IFLAG: Final = 0 OFLAG: Final = 1 CFLAG: Final = 2 LFLAG: Final = 3 ISPEED: Final = 4 OSPEED: Final = 5 CC: Final = 6 def setraw(fd: _FD, when: int = 2) -> _ModeSetterReturn: ... def setcbreak(fd: _FD, when: int = 2) -> _ModeSetterReturn: ... if sys.version_info >= (3, 12): def cfmakeraw(mode: termios._Attr) -> None: ... def cfmakecbreak(mode: termios._Attr) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/turtle.pyi0000644000175100017510000006127515112307767020440 0ustar00runnerrunnerimport sys from _typeshed import StrPath from collections.abc import Callable, Generator, Sequence from contextlib import contextmanager from tkinter import Canvas, Frame, Misc, PhotoImage, Scrollbar from typing import Any, ClassVar, Literal, TypedDict, overload, type_check_only from typing_extensions import Self, TypeAlias, deprecated, disjoint_base __all__ = [ "ScrolledCanvas", "TurtleScreen", "Screen", "RawTurtle", "Turtle", "RawPen", "Pen", "Shape", "Vec2D", "addshape", "bgcolor", "bgpic", "bye", "clearscreen", "colormode", "delay", "exitonclick", "getcanvas", "getshapes", "listen", "mainloop", "mode", "numinput", "onkey", "onkeypress", "onkeyrelease", "onscreenclick", "ontimer", "register_shape", "resetscreen", "screensize", "setup", "setworldcoordinates", "textinput", "title", "tracer", "turtles", "update", "window_height", "window_width", "back", "backward", "begin_fill", "begin_poly", "bk", "circle", "clear", "clearstamp", "clearstamps", "clone", "color", "degrees", "distance", "dot", "down", "end_fill", "end_poly", "fd", "fillcolor", "filling", "forward", "get_poly", "getpen", "getscreen", "get_shapepoly", "getturtle", "goto", "heading", "hideturtle", "home", "ht", "isdown", "isvisible", "left", "lt", "onclick", "ondrag", "onrelease", "pd", "pen", "pencolor", "pendown", "pensize", "penup", "pos", "position", "pu", "radians", "right", "reset", "resizemode", "rt", "seth", "setheading", "setpos", "setposition", "setundobuffer", "setx", "sety", "shape", "shapesize", "shapetransform", "shearfactor", "showturtle", "speed", "st", "stamp", "tilt", "tiltangle", "towards", "turtlesize", "undo", "undobufferentries", "up", "width", "write", "xcor", "ycor", "write_docstringdict", "done", "Terminator", ] if sys.version_info >= (3, 14): __all__ += ["fill", "no_animation", "poly", "save"] if sys.version_info >= (3, 12): __all__ += ["teleport"] if sys.version_info < (3, 13): __all__ += ["settiltangle"] # Note: '_Color' is the alias we use for arguments and _AnyColor is the # alias we use for return types. Really, these two aliases should be the # same, but as per the "no union returns" typeshed policy, we'll return # Any instead. _Color: TypeAlias = str | tuple[float, float, float] _AnyColor: TypeAlias = Any @type_check_only class _PenState(TypedDict): shown: bool pendown: bool pencolor: _Color fillcolor: _Color pensize: int speed: int resizemode: Literal["auto", "user", "noresize"] stretchfactor: tuple[float, float] shearfactor: float outline: int tilt: float _Speed: TypeAlias = str | float _PolygonCoords: TypeAlias = Sequence[tuple[float, float]] if sys.version_info >= (3, 12): class Vec2D(tuple[float, float]): def __new__(cls, x: float, y: float) -> Self: ... def __add__(self, other: tuple[float, float]) -> Vec2D: ... # type: ignore[override] @overload # type: ignore[override] def __mul__(self, other: Vec2D) -> float: ... @overload def __mul__(self, other: float) -> Vec2D: ... def __rmul__(self, other: float) -> Vec2D: ... # type: ignore[override] def __sub__(self, other: tuple[float, float]) -> Vec2D: ... def __neg__(self) -> Vec2D: ... def __abs__(self) -> float: ... def rotate(self, angle: float) -> Vec2D: ... else: @disjoint_base class Vec2D(tuple[float, float]): def __new__(cls, x: float, y: float) -> Self: ... def __add__(self, other: tuple[float, float]) -> Vec2D: ... # type: ignore[override] @overload # type: ignore[override] def __mul__(self, other: Vec2D) -> float: ... @overload def __mul__(self, other: float) -> Vec2D: ... def __rmul__(self, other: float) -> Vec2D: ... # type: ignore[override] def __sub__(self, other: tuple[float, float]) -> Vec2D: ... def __neg__(self) -> Vec2D: ... def __abs__(self) -> float: ... def rotate(self, angle: float) -> Vec2D: ... # Does not actually inherit from Canvas, but dynamically gets all methods of Canvas class ScrolledCanvas(Canvas, Frame): # type: ignore[misc] bg: str hscroll: Scrollbar vscroll: Scrollbar def __init__( self, master: Misc | None, width: int = 500, height: int = 350, canvwidth: int = 600, canvheight: int = 500 ) -> None: ... canvwidth: int canvheight: int def reset(self, canvwidth: int | None = None, canvheight: int | None = None, bg: str | None = None) -> None: ... class TurtleScreenBase: cv: Canvas canvwidth: int canvheight: int xscale: float yscale: float def __init__(self, cv: Canvas) -> None: ... def mainloop(self) -> None: ... def textinput(self, title: str, prompt: str) -> str | None: ... def numinput( self, title: str, prompt: str, default: float | None = None, minval: float | None = None, maxval: float | None = None ) -> float | None: ... class Terminator(Exception): ... class TurtleGraphicsError(Exception): ... class Shape: def __init__( self, type_: Literal["polygon", "image", "compound"], data: _PolygonCoords | PhotoImage | None = None ) -> None: ... def addcomponent(self, poly: _PolygonCoords, fill: _Color, outline: _Color | None = None) -> None: ... class TurtleScreen(TurtleScreenBase): def __init__( self, cv: Canvas, mode: Literal["standard", "logo", "world"] = "standard", colormode: float = 1.0, delay: int = 10 ) -> None: ... def clear(self) -> None: ... @overload def mode(self, mode: None = None) -> str: ... @overload def mode(self, mode: Literal["standard", "logo", "world"]) -> None: ... def setworldcoordinates(self, llx: float, lly: float, urx: float, ury: float) -> None: ... def register_shape(self, name: str, shape: _PolygonCoords | Shape | None = None) -> None: ... @overload def colormode(self, cmode: None = None) -> float: ... @overload def colormode(self, cmode: float) -> None: ... def reset(self) -> None: ... def turtles(self) -> list[Turtle]: ... @overload def bgcolor(self) -> _AnyColor: ... @overload def bgcolor(self, color: _Color) -> None: ... @overload def bgcolor(self, r: float, g: float, b: float) -> None: ... @overload def tracer(self, n: None = None) -> int: ... @overload def tracer(self, n: int, delay: int | None = None) -> None: ... @overload def delay(self, delay: None = None) -> int: ... @overload def delay(self, delay: int) -> None: ... if sys.version_info >= (3, 14): @contextmanager def no_animation(self) -> Generator[None]: ... def update(self) -> None: ... def window_width(self) -> int: ... def window_height(self) -> int: ... def getcanvas(self) -> Canvas: ... def getshapes(self) -> list[str]: ... def onclick(self, fun: Callable[[float, float], object], btn: int = 1, add: bool | None = None) -> None: ... def onkey(self, fun: Callable[[], object], key: str) -> None: ... def listen(self, xdummy: float | None = None, ydummy: float | None = None) -> None: ... def ontimer(self, fun: Callable[[], object], t: int = 0) -> None: ... @overload def bgpic(self, picname: None = None) -> str: ... @overload def bgpic(self, picname: str) -> None: ... @overload def screensize(self, canvwidth: None = None, canvheight: None = None, bg: None = None) -> tuple[int, int]: ... # Looks like if self.cv is not a ScrolledCanvas, this could return a tuple as well @overload def screensize(self, canvwidth: int, canvheight: int, bg: _Color | None = None) -> None: ... if sys.version_info >= (3, 14): def save(self, filename: StrPath, *, overwrite: bool = False) -> None: ... onscreenclick = onclick resetscreen = reset clearscreen = clear addshape = register_shape def onkeypress(self, fun: Callable[[], object], key: str | None = None) -> None: ... onkeyrelease = onkey class TNavigator: START_ORIENTATION: dict[str, Vec2D] DEFAULT_MODE: str DEFAULT_ANGLEOFFSET: int DEFAULT_ANGLEORIENT: int def __init__(self, mode: Literal["standard", "logo", "world"] = "standard") -> None: ... def reset(self) -> None: ... def degrees(self, fullcircle: float = 360.0) -> None: ... def radians(self) -> None: ... if sys.version_info >= (3, 12): def teleport(self, x: float | None = None, y: float | None = None, *, fill_gap: bool = False) -> None: ... def forward(self, distance: float) -> None: ... def back(self, distance: float) -> None: ... def right(self, angle: float) -> None: ... def left(self, angle: float) -> None: ... def pos(self) -> Vec2D: ... def xcor(self) -> float: ... def ycor(self) -> float: ... @overload def goto(self, x: tuple[float, float], y: None = None) -> None: ... @overload def goto(self, x: float, y: float) -> None: ... def home(self) -> None: ... def setx(self, x: float) -> None: ... def sety(self, y: float) -> None: ... @overload def distance(self, x: TNavigator | tuple[float, float], y: None = None) -> float: ... @overload def distance(self, x: float, y: float) -> float: ... @overload def towards(self, x: TNavigator | tuple[float, float], y: None = None) -> float: ... @overload def towards(self, x: float, y: float) -> float: ... def heading(self) -> float: ... def setheading(self, to_angle: float) -> None: ... def circle(self, radius: float, extent: float | None = None, steps: int | None = None) -> None: ... def speed(self, s: int | None = 0) -> int | None: ... fd = forward bk = back backward = back rt = right lt = left position = pos setpos = goto setposition = goto seth = setheading class TPen: def __init__(self, resizemode: Literal["auto", "user", "noresize"] = "noresize") -> None: ... @overload def resizemode(self, rmode: None = None) -> str: ... @overload def resizemode(self, rmode: Literal["auto", "user", "noresize"]) -> None: ... @overload def pensize(self, width: None = None) -> int: ... @overload def pensize(self, width: int) -> None: ... def penup(self) -> None: ... def pendown(self) -> None: ... def isdown(self) -> bool: ... @overload def speed(self, speed: None = None) -> int: ... @overload def speed(self, speed: _Speed) -> None: ... @overload def pencolor(self) -> _AnyColor: ... @overload def pencolor(self, color: _Color) -> None: ... @overload def pencolor(self, r: float, g: float, b: float) -> None: ... @overload def fillcolor(self) -> _AnyColor: ... @overload def fillcolor(self, color: _Color) -> None: ... @overload def fillcolor(self, r: float, g: float, b: float) -> None: ... @overload def color(self) -> tuple[_AnyColor, _AnyColor]: ... @overload def color(self, color: _Color) -> None: ... @overload def color(self, r: float, g: float, b: float) -> None: ... @overload def color(self, color1: _Color, color2: _Color) -> None: ... if sys.version_info >= (3, 12): def teleport(self, x: float | None = None, y: float | None = None, *, fill_gap: bool = False) -> None: ... def showturtle(self) -> None: ... def hideturtle(self) -> None: ... def isvisible(self) -> bool: ... # Note: signatures 1 and 2 overlap unsafely when no arguments are provided @overload def pen(self) -> _PenState: ... @overload def pen( self, pen: _PenState | None = None, *, shown: bool = ..., pendown: bool = ..., pencolor: _Color = ..., fillcolor: _Color = ..., pensize: int = ..., speed: int = ..., resizemode: Literal["auto", "user", "noresize"] = ..., stretchfactor: tuple[float, float] = ..., outline: int = ..., tilt: float = ..., ) -> None: ... width = pensize up = penup pu = penup pd = pendown down = pendown st = showturtle ht = hideturtle class RawTurtle(TPen, TNavigator): # type: ignore[misc] # Conflicting methods in base classes screen: TurtleScreen screens: ClassVar[list[TurtleScreen]] def __init__( self, canvas: Canvas | TurtleScreen | None = None, shape: str = "classic", undobuffersize: int = 1000, visible: bool = True, ) -> None: ... def reset(self) -> None: ... def setundobuffer(self, size: int | None) -> None: ... def undobufferentries(self) -> int: ... def clear(self) -> None: ... def clone(self) -> Self: ... @overload def shape(self, name: None = None) -> str: ... @overload def shape(self, name: str) -> None: ... # Unsafely overlaps when no arguments are provided @overload def shapesize(self) -> tuple[float, float, float]: ... @overload def shapesize( self, stretch_wid: float | None = None, stretch_len: float | None = None, outline: float | None = None ) -> None: ... @overload def shearfactor(self, shear: None = None) -> float: ... @overload def shearfactor(self, shear: float) -> None: ... # Unsafely overlaps when no arguments are provided @overload def shapetransform(self) -> tuple[float, float, float, float]: ... @overload def shapetransform( self, t11: float | None = None, t12: float | None = None, t21: float | None = None, t22: float | None = None ) -> None: ... def get_shapepoly(self) -> _PolygonCoords | None: ... if sys.version_info < (3, 13): @deprecated("Deprecated since Python 3.1; removed in Python 3.13. Use `tiltangle()` instead.") def settiltangle(self, angle: float) -> None: ... @overload def tiltangle(self, angle: None = None) -> float: ... @overload def tiltangle(self, angle: float) -> None: ... def tilt(self, angle: float) -> None: ... # Can return either 'int' or Tuple[int, ...] based on if the stamp is # a compound stamp or not. So, as per the "no Union return" policy, # we return Any. def stamp(self) -> Any: ... def clearstamp(self, stampid: int | tuple[int, ...]) -> None: ... def clearstamps(self, n: int | None = None) -> None: ... def filling(self) -> bool: ... if sys.version_info >= (3, 14): @contextmanager def fill(self) -> Generator[None]: ... def begin_fill(self) -> None: ... def end_fill(self) -> None: ... @overload def dot(self, size: int | _Color | None = None) -> None: ... @overload def dot(self, size: int | None, color: _Color, /) -> None: ... @overload def dot(self, size: int | None, r: float, g: float, b: float, /) -> None: ... def write( self, arg: object, move: bool = False, align: str = "left", font: tuple[str, int, str] = ("Arial", 8, "normal") ) -> None: ... if sys.version_info >= (3, 14): @contextmanager def poly(self) -> Generator[None]: ... def begin_poly(self) -> None: ... def end_poly(self) -> None: ... def get_poly(self) -> _PolygonCoords | None: ... def getscreen(self) -> TurtleScreen: ... def getturtle(self) -> Self: ... getpen = getturtle def onclick(self, fun: Callable[[float, float], object], btn: int = 1, add: bool | None = None) -> None: ... def onrelease(self, fun: Callable[[float, float], object], btn: int = 1, add: bool | None = None) -> None: ... def ondrag(self, fun: Callable[[float, float], object], btn: int = 1, add: bool | None = None) -> None: ... def undo(self) -> None: ... turtlesize = shapesize class _Screen(TurtleScreen): def __init__(self) -> None: ... # Note int and float are interpreted differently, hence the Union instead of just float def setup( self, width: int | float = 0.5, # noqa: Y041 height: int | float = 0.75, # noqa: Y041 startx: int | None = None, starty: int | None = None, ) -> None: ... def title(self, titlestring: str) -> None: ... def bye(self) -> None: ... def exitonclick(self) -> None: ... class Turtle(RawTurtle): def __init__(self, shape: str = "classic", undobuffersize: int = 1000, visible: bool = True) -> None: ... RawPen = RawTurtle Pen = Turtle def write_docstringdict(filename: str = "turtle_docstringdict") -> None: ... # Functions copied from TurtleScreenBase: def mainloop() -> None: ... def textinput(title: str, prompt: str) -> str | None: ... def numinput( title: str, prompt: str, default: float | None = None, minval: float | None = None, maxval: float | None = None ) -> float | None: ... # Functions copied from TurtleScreen: def clear() -> None: ... @overload def mode(mode: None = None) -> str: ... @overload def mode(mode: Literal["standard", "logo", "world"]) -> None: ... def setworldcoordinates(llx: float, lly: float, urx: float, ury: float) -> None: ... def register_shape(name: str, shape: _PolygonCoords | Shape | None = None) -> None: ... @overload def colormode(cmode: None = None) -> float: ... @overload def colormode(cmode: float) -> None: ... def reset() -> None: ... def turtles() -> list[Turtle]: ... @overload def bgcolor() -> _AnyColor: ... @overload def bgcolor(color: _Color) -> None: ... @overload def bgcolor(r: float, g: float, b: float) -> None: ... @overload def tracer(n: None = None) -> int: ... @overload def tracer(n: int, delay: int | None = None) -> None: ... @overload def delay(delay: None = None) -> int: ... @overload def delay(delay: int) -> None: ... if sys.version_info >= (3, 14): @contextmanager def no_animation() -> Generator[None]: ... def update() -> None: ... def window_width() -> int: ... def window_height() -> int: ... def getcanvas() -> Canvas: ... def getshapes() -> list[str]: ... def onclick(fun: Callable[[float, float], object], btn: int = 1, add: bool | None = None) -> None: ... def onkey(fun: Callable[[], object], key: str) -> None: ... def listen(xdummy: float | None = None, ydummy: float | None = None) -> None: ... def ontimer(fun: Callable[[], object], t: int = 0) -> None: ... @overload def bgpic(picname: None = None) -> str: ... @overload def bgpic(picname: str) -> None: ... @overload def screensize(canvwidth: None = None, canvheight: None = None, bg: None = None) -> tuple[int, int]: ... @overload def screensize(canvwidth: int, canvheight: int, bg: _Color | None = None) -> None: ... if sys.version_info >= (3, 14): def save(filename: StrPath, *, overwrite: bool = False) -> None: ... onscreenclick = onclick resetscreen = reset clearscreen = clear addshape = register_shape def onkeypress(fun: Callable[[], object], key: str | None = None) -> None: ... onkeyrelease = onkey # Functions copied from _Screen: def setup(width: float = 0.5, height: float = 0.75, startx: int | None = None, starty: int | None = None) -> None: ... def title(titlestring: str) -> None: ... def bye() -> None: ... def exitonclick() -> None: ... def Screen() -> _Screen: ... # Functions copied from TNavigator: def degrees(fullcircle: float = 360.0) -> None: ... def radians() -> None: ... def forward(distance: float) -> None: ... def back(distance: float) -> None: ... def right(angle: float) -> None: ... def left(angle: float) -> None: ... def pos() -> Vec2D: ... def xcor() -> float: ... def ycor() -> float: ... @overload def goto(x: tuple[float, float], y: None = None) -> None: ... @overload def goto(x: float, y: float) -> None: ... def home() -> None: ... def setx(x: float) -> None: ... def sety(y: float) -> None: ... @overload def distance(x: TNavigator | tuple[float, float], y: None = None) -> float: ... @overload def distance(x: float, y: float) -> float: ... @overload def towards(x: TNavigator | tuple[float, float], y: None = None) -> float: ... @overload def towards(x: float, y: float) -> float: ... def heading() -> float: ... def setheading(to_angle: float) -> None: ... def circle(radius: float, extent: float | None = None, steps: int | None = None) -> None: ... fd = forward bk = back backward = back rt = right lt = left position = pos setpos = goto setposition = goto seth = setheading # Functions copied from TPen: @overload def resizemode(rmode: None = None) -> str: ... @overload def resizemode(rmode: Literal["auto", "user", "noresize"]) -> None: ... @overload def pensize(width: None = None) -> int: ... @overload def pensize(width: int) -> None: ... def penup() -> None: ... def pendown() -> None: ... def isdown() -> bool: ... @overload def speed(speed: None = None) -> int: ... @overload def speed(speed: _Speed) -> None: ... @overload def pencolor() -> _AnyColor: ... @overload def pencolor(color: _Color) -> None: ... @overload def pencolor(r: float, g: float, b: float) -> None: ... @overload def fillcolor() -> _AnyColor: ... @overload def fillcolor(color: _Color) -> None: ... @overload def fillcolor(r: float, g: float, b: float) -> None: ... @overload def color() -> tuple[_AnyColor, _AnyColor]: ... @overload def color(color: _Color) -> None: ... @overload def color(r: float, g: float, b: float) -> None: ... @overload def color(color1: _Color, color2: _Color) -> None: ... def showturtle() -> None: ... def hideturtle() -> None: ... def isvisible() -> bool: ... # Note: signatures 1 and 2 overlap unsafely when no arguments are provided @overload def pen() -> _PenState: ... @overload def pen( pen: _PenState | None = None, *, shown: bool = ..., pendown: bool = ..., pencolor: _Color = ..., fillcolor: _Color = ..., pensize: int = ..., speed: int = ..., resizemode: Literal["auto", "user", "noresize"] = ..., stretchfactor: tuple[float, float] = ..., outline: int = ..., tilt: float = ..., ) -> None: ... width = pensize up = penup pu = penup pd = pendown down = pendown st = showturtle ht = hideturtle # Functions copied from RawTurtle: def setundobuffer(size: int | None) -> None: ... def undobufferentries() -> int: ... @overload def shape(name: None = None) -> str: ... @overload def shape(name: str) -> None: ... if sys.version_info >= (3, 12): def teleport(x: float | None = None, y: float | None = None, *, fill_gap: bool = False) -> None: ... # Unsafely overlaps when no arguments are provided @overload def shapesize() -> tuple[float, float, float]: ... @overload def shapesize(stretch_wid: float | None = None, stretch_len: float | None = None, outline: float | None = None) -> None: ... @overload def shearfactor(shear: None = None) -> float: ... @overload def shearfactor(shear: float) -> None: ... # Unsafely overlaps when no arguments are provided @overload def shapetransform() -> tuple[float, float, float, float]: ... @overload def shapetransform( t11: float | None = None, t12: float | None = None, t21: float | None = None, t22: float | None = None ) -> None: ... def get_shapepoly() -> _PolygonCoords | None: ... if sys.version_info < (3, 13): @deprecated("Deprecated since Python 3.1; removed in Python 3.13. Use `tiltangle()` instead.") def settiltangle(angle: float) -> None: ... @overload def tiltangle(angle: None = None) -> float: ... @overload def tiltangle(angle: float) -> None: ... def tilt(angle: float) -> None: ... # Can return either 'int' or Tuple[int, ...] based on if the stamp is # a compound stamp or not. So, as per the "no Union return" policy, # we return Any. def stamp() -> Any: ... def clearstamp(stampid: int | tuple[int, ...]) -> None: ... def clearstamps(n: int | None = None) -> None: ... def filling() -> bool: ... if sys.version_info >= (3, 14): @contextmanager def fill() -> Generator[None]: ... def begin_fill() -> None: ... def end_fill() -> None: ... @overload def dot(size: int | _Color | None = None) -> None: ... @overload def dot(size: int | None, color: _Color, /) -> None: ... @overload def dot(size: int | None, r: float, g: float, b: float, /) -> None: ... def write(arg: object, move: bool = False, align: str = "left", font: tuple[str, int, str] = ("Arial", 8, "normal")) -> None: ... if sys.version_info >= (3, 14): @contextmanager def poly() -> Generator[None]: ... def begin_poly() -> None: ... def end_poly() -> None: ... def get_poly() -> _PolygonCoords | None: ... def getscreen() -> TurtleScreen: ... def getturtle() -> Turtle: ... getpen = getturtle def onrelease(fun: Callable[[float, float], object], btn: int = 1, add: bool | None = None) -> None: ... def ondrag(fun: Callable[[float, float], object], btn: int = 1, add: bool | None = None) -> None: ... def undo() -> None: ... turtlesize = shapesize # Functions copied from RawTurtle with a few tweaks: def clone() -> Turtle: ... # Extra functions present only in the global scope: done = mainloop ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/types.pyi0000644000175100017510000006366015112307767020265 0ustar00runnerrunnerimport sys from _typeshed import AnnotationForm, MaybeNone, SupportsKeysAndGetItem from _typeshed.importlib import LoaderProtocol from collections.abc import ( AsyncGenerator, Awaitable, Callable, Coroutine, Generator, ItemsView, Iterable, Iterator, KeysView, Mapping, MutableSequence, ValuesView, ) from importlib.machinery import ModuleSpec from typing import Any, ClassVar, Literal, TypeVar, final, overload from typing_extensions import ParamSpec, Self, TypeAliasType, TypeVarTuple, deprecated, disjoint_base if sys.version_info >= (3, 14): from _typeshed import AnnotateFunc __all__ = [ "FunctionType", "LambdaType", "CodeType", "MappingProxyType", "SimpleNamespace", "GeneratorType", "CoroutineType", "AsyncGeneratorType", "MethodType", "BuiltinFunctionType", "ModuleType", "TracebackType", "FrameType", "GetSetDescriptorType", "MemberDescriptorType", "new_class", "prepare_class", "DynamicClassAttribute", "coroutine", "BuiltinMethodType", "ClassMethodDescriptorType", "MethodDescriptorType", "MethodWrapperType", "WrapperDescriptorType", "resolve_bases", "CellType", "GenericAlias", ] if sys.version_info >= (3, 10): __all__ += ["EllipsisType", "NoneType", "NotImplementedType", "UnionType"] if sys.version_info >= (3, 12): __all__ += ["get_original_bases"] if sys.version_info >= (3, 13): __all__ += ["CapsuleType"] # Note, all classes "defined" here require special handling. _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _KT_co = TypeVar("_KT_co", covariant=True) _VT_co = TypeVar("_VT_co", covariant=True) # Make sure this class definition stays roughly in line with `builtins.function` @final class FunctionType: @property def __closure__(self) -> tuple[CellType, ...] | None: ... __code__: CodeType __defaults__: tuple[Any, ...] | None __dict__: dict[str, Any] @property def __globals__(self) -> dict[str, Any]: ... __name__: str __qualname__: str __annotations__: dict[str, AnnotationForm] if sys.version_info >= (3, 14): __annotate__: AnnotateFunc | None __kwdefaults__: dict[str, Any] | None if sys.version_info >= (3, 10): @property def __builtins__(self) -> dict[str, Any]: ... if sys.version_info >= (3, 12): __type_params__: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] __module__: str if sys.version_info >= (3, 13): def __new__( cls, code: CodeType, globals: dict[str, Any], name: str | None = None, argdefs: tuple[object, ...] | None = None, closure: tuple[CellType, ...] | None = None, kwdefaults: dict[str, object] | None = None, ) -> Self: ... else: def __new__( cls, code: CodeType, globals: dict[str, Any], name: str | None = None, argdefs: tuple[object, ...] | None = None, closure: tuple[CellType, ...] | None = None, ) -> Self: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... @overload def __get__(self, instance: None, owner: type, /) -> FunctionType: ... @overload def __get__(self, instance: object, owner: type | None = None, /) -> MethodType: ... LambdaType = FunctionType @final class CodeType: def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... @property def co_argcount(self) -> int: ... @property def co_posonlyargcount(self) -> int: ... @property def co_kwonlyargcount(self) -> int: ... @property def co_nlocals(self) -> int: ... @property def co_stacksize(self) -> int: ... @property def co_flags(self) -> int: ... @property def co_code(self) -> bytes: ... @property def co_consts(self) -> tuple[Any, ...]: ... @property def co_names(self) -> tuple[str, ...]: ... @property def co_varnames(self) -> tuple[str, ...]: ... @property def co_filename(self) -> str: ... @property def co_name(self) -> str: ... @property def co_firstlineno(self) -> int: ... if sys.version_info >= (3, 10): @property @deprecated("Deprecated since Python 3.10; will be removed in Python 3.15. Use `CodeType.co_lines()` instead.") def co_lnotab(self) -> bytes: ... else: @property def co_lnotab(self) -> bytes: ... @property def co_freevars(self) -> tuple[str, ...]: ... @property def co_cellvars(self) -> tuple[str, ...]: ... if sys.version_info >= (3, 10): @property def co_linetable(self) -> bytes: ... def co_lines(self) -> Iterator[tuple[int, int, int | None]]: ... if sys.version_info >= (3, 11): @property def co_exceptiontable(self) -> bytes: ... @property def co_qualname(self) -> str: ... def co_positions(self) -> Iterable[tuple[int | None, int | None, int | None, int | None]]: ... if sys.version_info >= (3, 14): def co_branches(self) -> Iterator[tuple[int, int, int]]: ... if sys.version_info >= (3, 11): def __new__( cls, argcount: int, posonlyargcount: int, kwonlyargcount: int, nlocals: int, stacksize: int, flags: int, codestring: bytes, constants: tuple[object, ...], names: tuple[str, ...], varnames: tuple[str, ...], filename: str, name: str, qualname: str, firstlineno: int, linetable: bytes, exceptiontable: bytes, freevars: tuple[str, ...] = ..., cellvars: tuple[str, ...] = ..., /, ) -> Self: ... elif sys.version_info >= (3, 10): def __new__( cls, argcount: int, posonlyargcount: int, kwonlyargcount: int, nlocals: int, stacksize: int, flags: int, codestring: bytes, constants: tuple[object, ...], names: tuple[str, ...], varnames: tuple[str, ...], filename: str, name: str, firstlineno: int, linetable: bytes, freevars: tuple[str, ...] = ..., cellvars: tuple[str, ...] = ..., /, ) -> Self: ... else: def __new__( cls, argcount: int, posonlyargcount: int, kwonlyargcount: int, nlocals: int, stacksize: int, flags: int, codestring: bytes, constants: tuple[object, ...], names: tuple[str, ...], varnames: tuple[str, ...], filename: str, name: str, firstlineno: int, lnotab: bytes, freevars: tuple[str, ...] = ..., cellvars: tuple[str, ...] = ..., /, ) -> Self: ... if sys.version_info >= (3, 11): def replace( self, *, co_argcount: int = -1, co_posonlyargcount: int = -1, co_kwonlyargcount: int = -1, co_nlocals: int = -1, co_stacksize: int = -1, co_flags: int = -1, co_firstlineno: int = -1, co_code: bytes = ..., co_consts: tuple[object, ...] = ..., co_names: tuple[str, ...] = ..., co_varnames: tuple[str, ...] = ..., co_freevars: tuple[str, ...] = ..., co_cellvars: tuple[str, ...] = ..., co_filename: str = ..., co_name: str = ..., co_qualname: str = ..., co_linetable: bytes = ..., co_exceptiontable: bytes = ..., ) -> Self: ... elif sys.version_info >= (3, 10): def replace( self, *, co_argcount: int = -1, co_posonlyargcount: int = -1, co_kwonlyargcount: int = -1, co_nlocals: int = -1, co_stacksize: int = -1, co_flags: int = -1, co_firstlineno: int = -1, co_code: bytes = ..., co_consts: tuple[object, ...] = ..., co_names: tuple[str, ...] = ..., co_varnames: tuple[str, ...] = ..., co_freevars: tuple[str, ...] = ..., co_cellvars: tuple[str, ...] = ..., co_filename: str = ..., co_name: str = ..., co_linetable: bytes = ..., ) -> Self: ... else: def replace( self, *, co_argcount: int = -1, co_posonlyargcount: int = -1, co_kwonlyargcount: int = -1, co_nlocals: int = -1, co_stacksize: int = -1, co_flags: int = -1, co_firstlineno: int = -1, co_code: bytes = ..., co_consts: tuple[object, ...] = ..., co_names: tuple[str, ...] = ..., co_varnames: tuple[str, ...] = ..., co_freevars: tuple[str, ...] = ..., co_cellvars: tuple[str, ...] = ..., co_filename: str = ..., co_name: str = ..., co_lnotab: bytes = ..., ) -> Self: ... if sys.version_info >= (3, 13): __replace__ = replace @final class MappingProxyType(Mapping[_KT_co, _VT_co]): # type: ignore[type-var] # pyright: ignore[reportInvalidTypeArguments] __hash__: ClassVar[None] # type: ignore[assignment] def __new__(cls, mapping: SupportsKeysAndGetItem[_KT_co, _VT_co]) -> Self: ... def __getitem__(self, key: _KT_co, /) -> _VT_co: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def __iter__(self) -> Iterator[_KT_co]: ... def __len__(self) -> int: ... def __eq__(self, value: object, /) -> bool: ... def copy(self) -> dict[_KT_co, _VT_co]: ... def keys(self) -> KeysView[_KT_co]: ... def values(self) -> ValuesView[_VT_co]: ... def items(self) -> ItemsView[_KT_co, _VT_co]: ... @overload def get(self, key: _KT_co, /) -> _VT_co | None: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] # Covariant type as parameter @overload def get(self, key: _KT_co, default: _VT_co, /) -> _VT_co: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] # Covariant type as parameter @overload def get(self, key: _KT_co, default: _T2, /) -> _VT_co | _T2: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] # Covariant type as parameter def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... def __reversed__(self) -> Iterator[_KT_co]: ... def __or__(self, value: Mapping[_T1, _T2], /) -> dict[_KT_co | _T1, _VT_co | _T2]: ... def __ror__(self, value: Mapping[_T1, _T2], /) -> dict[_KT_co | _T1, _VT_co | _T2]: ... if sys.version_info >= (3, 12): @disjoint_base class SimpleNamespace: __hash__: ClassVar[None] # type: ignore[assignment] if sys.version_info >= (3, 13): def __init__( self, mapping_or_iterable: Mapping[str, Any] | Iterable[tuple[str, Any]] = (), /, **kwargs: Any ) -> None: ... else: def __init__(self, **kwargs: Any) -> None: ... def __eq__(self, value: object, /) -> bool: ... def __getattribute__(self, name: str, /) -> Any: ... def __setattr__(self, name: str, value: Any, /) -> None: ... def __delattr__(self, name: str, /) -> None: ... if sys.version_info >= (3, 13): def __replace__(self, **kwargs: Any) -> Self: ... else: class SimpleNamespace: __hash__: ClassVar[None] # type: ignore[assignment] def __init__(self, **kwargs: Any) -> None: ... def __eq__(self, value: object, /) -> bool: ... def __getattribute__(self, name: str, /) -> Any: ... def __setattr__(self, name: str, value: Any, /) -> None: ... def __delattr__(self, name: str, /) -> None: ... @disjoint_base class ModuleType: __name__: str __file__: str | None @property def __dict__(self) -> dict[str, Any]: ... # type: ignore[override] __loader__: LoaderProtocol | None __package__: str | None __path__: MutableSequence[str] __spec__: ModuleSpec | None # N.B. Although this is the same type as `builtins.object.__doc__`, # it is deliberately redeclared here. Most symbols declared in the namespace # of `types.ModuleType` are available as "implicit globals" within a module's # namespace, but this is not true for symbols declared in the namespace of `builtins.object`. # Redeclaring `__doc__` here helps some type checkers understand that `__doc__` is available # as an implicit global in all modules, similar to `__name__`, `__file__`, `__spec__`, etc. __doc__: str | None __annotations__: dict[str, AnnotationForm] if sys.version_info >= (3, 14): __annotate__: AnnotateFunc | None def __init__(self, name: str, doc: str | None = ...) -> None: ... # __getattr__ doesn't exist at runtime, # but having it here in typeshed makes dynamic imports # using `builtins.__import__` or `importlib.import_module` less painful def __getattr__(self, name: str) -> Any: ... @final class CellType: def __new__(cls, contents: object = ..., /) -> Self: ... __hash__: ClassVar[None] # type: ignore[assignment] cell_contents: Any _YieldT_co = TypeVar("_YieldT_co", covariant=True) _SendT_contra = TypeVar("_SendT_contra", contravariant=True, default=None) _ReturnT_co = TypeVar("_ReturnT_co", covariant=True, default=None) @final class GeneratorType(Generator[_YieldT_co, _SendT_contra, _ReturnT_co]): @property def gi_code(self) -> CodeType: ... @property def gi_frame(self) -> FrameType: ... @property def gi_running(self) -> bool: ... @property def gi_yieldfrom(self) -> Iterator[_YieldT_co] | None: ... if sys.version_info >= (3, 11): @property def gi_suspended(self) -> bool: ... __name__: str __qualname__: str def __iter__(self) -> Self: ... def __next__(self) -> _YieldT_co: ... def send(self, arg: _SendT_contra, /) -> _YieldT_co: ... @overload def throw( self, typ: type[BaseException], val: BaseException | object = ..., tb: TracebackType | None = ..., / ) -> _YieldT_co: ... @overload def throw(self, typ: BaseException, val: None = None, tb: TracebackType | None = ..., /) -> _YieldT_co: ... if sys.version_info >= (3, 13): def __class_getitem__(cls, item: Any, /) -> Any: ... @final class AsyncGeneratorType(AsyncGenerator[_YieldT_co, _SendT_contra]): @property def ag_await(self) -> Awaitable[Any] | None: ... @property def ag_code(self) -> CodeType: ... @property def ag_frame(self) -> FrameType: ... @property def ag_running(self) -> bool: ... __name__: str __qualname__: str if sys.version_info >= (3, 12): @property def ag_suspended(self) -> bool: ... def __aiter__(self) -> Self: ... def __anext__(self) -> Coroutine[Any, Any, _YieldT_co]: ... def asend(self, val: _SendT_contra, /) -> Coroutine[Any, Any, _YieldT_co]: ... @overload async def athrow( self, typ: type[BaseException], val: BaseException | object = ..., tb: TracebackType | None = ..., / ) -> _YieldT_co: ... @overload async def athrow(self, typ: BaseException, val: None = None, tb: TracebackType | None = ..., /) -> _YieldT_co: ... def aclose(self) -> Coroutine[Any, Any, None]: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... # Non-default variations to accommodate coroutines _SendT_nd_contra = TypeVar("_SendT_nd_contra", contravariant=True) _ReturnT_nd_co = TypeVar("_ReturnT_nd_co", covariant=True) @final class CoroutineType(Coroutine[_YieldT_co, _SendT_nd_contra, _ReturnT_nd_co]): __name__: str __qualname__: str @property def cr_await(self) -> Any | None: ... @property def cr_code(self) -> CodeType: ... if sys.version_info >= (3, 12): @property def cr_frame(self) -> FrameType | None: ... else: @property def cr_frame(self) -> FrameType: ... @property def cr_running(self) -> bool: ... @property def cr_origin(self) -> tuple[tuple[str, int, str], ...] | None: ... if sys.version_info >= (3, 11): @property def cr_suspended(self) -> bool: ... def close(self) -> None: ... def __await__(self) -> Generator[Any, None, _ReturnT_nd_co]: ... def send(self, arg: _SendT_nd_contra, /) -> _YieldT_co: ... @overload def throw( self, typ: type[BaseException], val: BaseException | object = ..., tb: TracebackType | None = ..., / ) -> _YieldT_co: ... @overload def throw(self, typ: BaseException, val: None = None, tb: TracebackType | None = ..., /) -> _YieldT_co: ... if sys.version_info >= (3, 13): def __class_getitem__(cls, item: Any, /) -> Any: ... @final class MethodType: @property def __closure__(self) -> tuple[CellType, ...] | None: ... # inherited from the added function @property def __code__(self) -> CodeType: ... # inherited from the added function @property def __defaults__(self) -> tuple[Any, ...] | None: ... # inherited from the added function @property def __func__(self) -> Callable[..., Any]: ... @property def __self__(self) -> object: ... @property def __name__(self) -> str: ... # inherited from the added function @property def __qualname__(self) -> str: ... # inherited from the added function def __new__(cls, func: Callable[..., Any], instance: object, /) -> Self: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... if sys.version_info >= (3, 13): def __get__(self, instance: object, owner: type | None = None, /) -> Self: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... @final class BuiltinFunctionType: @property def __self__(self) -> object | ModuleType: ... @property def __name__(self) -> str: ... @property def __qualname__(self) -> str: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... BuiltinMethodType = BuiltinFunctionType @final class WrapperDescriptorType: @property def __name__(self) -> str: ... @property def __qualname__(self) -> str: ... @property def __objclass__(self) -> type: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... def __get__(self, instance: Any, owner: type | None = None, /) -> Any: ... @final class MethodWrapperType: @property def __self__(self) -> object: ... @property def __name__(self) -> str: ... @property def __qualname__(self) -> str: ... @property def __objclass__(self) -> type: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... def __eq__(self, value: object, /) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... @final class MethodDescriptorType: @property def __name__(self) -> str: ... @property def __qualname__(self) -> str: ... @property def __objclass__(self) -> type: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... def __get__(self, instance: Any, owner: type | None = None, /) -> Any: ... @final class ClassMethodDescriptorType: @property def __name__(self) -> str: ... @property def __qualname__(self) -> str: ... @property def __objclass__(self) -> type: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... def __get__(self, instance: Any, owner: type | None = None, /) -> Any: ... @final class TracebackType: def __new__(cls, tb_next: TracebackType | None, tb_frame: FrameType, tb_lasti: int, tb_lineno: int) -> Self: ... tb_next: TracebackType | None # the rest are read-only @property def tb_frame(self) -> FrameType: ... @property def tb_lasti(self) -> int: ... @property def tb_lineno(self) -> int: ... @final class FrameType: @property def f_back(self) -> FrameType | None: ... @property def f_builtins(self) -> dict[str, Any]: ... @property def f_code(self) -> CodeType: ... @property def f_globals(self) -> dict[str, Any]: ... @property def f_lasti(self) -> int: ... # see discussion in #6769: f_lineno *can* sometimes be None, # but you should probably file a bug report with CPython if you encounter it being None in the wild. # An `int | None` annotation here causes too many false-positive errors, so applying `int | Any`. @property def f_lineno(self) -> int | MaybeNone: ... @property def f_locals(self) -> dict[str, Any]: ... f_trace: Callable[[FrameType, str, Any], Any] | None f_trace_lines: bool f_trace_opcodes: bool def clear(self) -> None: ... if sys.version_info >= (3, 14): @property def f_generator(self) -> GeneratorType[Any, Any, Any] | CoroutineType[Any, Any, Any] | None: ... @final class GetSetDescriptorType: @property def __name__(self) -> str: ... @property def __qualname__(self) -> str: ... @property def __objclass__(self) -> type: ... def __get__(self, instance: Any, owner: type | None = None, /) -> Any: ... def __set__(self, instance: Any, value: Any, /) -> None: ... def __delete__(self, instance: Any, /) -> None: ... @final class MemberDescriptorType: @property def __name__(self) -> str: ... @property def __qualname__(self) -> str: ... @property def __objclass__(self) -> type: ... def __get__(self, instance: Any, owner: type | None = None, /) -> Any: ... def __set__(self, instance: Any, value: Any, /) -> None: ... def __delete__(self, instance: Any, /) -> None: ... def new_class( name: str, bases: Iterable[object] = (), kwds: dict[str, Any] | None = None, exec_body: Callable[[dict[str, Any]], object] | None = None, ) -> type: ... def resolve_bases(bases: Iterable[object]) -> tuple[Any, ...]: ... def prepare_class( name: str, bases: tuple[type, ...] = (), kwds: dict[str, Any] | None = None ) -> tuple[type, dict[str, Any], dict[str, Any]]: ... if sys.version_info >= (3, 12): def get_original_bases(cls: type, /) -> tuple[Any, ...]: ... # Does not actually inherit from property, but saying it does makes sure that # pyright handles this class correctly. class DynamicClassAttribute(property): fget: Callable[[Any], Any] | None fset: Callable[[Any, Any], object] | None # type: ignore[assignment] fdel: Callable[[Any], object] | None # type: ignore[assignment] overwrite_doc: bool __isabstractmethod__: bool def __init__( self, fget: Callable[[Any], Any] | None = None, fset: Callable[[Any, Any], object] | None = None, fdel: Callable[[Any], object] | None = None, doc: str | None = None, ) -> None: ... def __get__(self, instance: Any, ownerclass: type | None = None) -> Any: ... def __set__(self, instance: Any, value: Any) -> None: ... def __delete__(self, instance: Any) -> None: ... def getter(self, fget: Callable[[Any], Any]) -> DynamicClassAttribute: ... def setter(self, fset: Callable[[Any, Any], object]) -> DynamicClassAttribute: ... def deleter(self, fdel: Callable[[Any], object]) -> DynamicClassAttribute: ... _Fn = TypeVar("_Fn", bound=Callable[..., object]) _R = TypeVar("_R") _P = ParamSpec("_P") # it's not really an Awaitable, but can be used in an await expression. Real type: Generator & Awaitable @overload def coroutine(func: Callable[_P, Generator[Any, Any, _R]]) -> Callable[_P, Awaitable[_R]]: ... @overload def coroutine(func: _Fn) -> _Fn: ... @disjoint_base class GenericAlias: @property def __origin__(self) -> type | TypeAliasType: ... @property def __args__(self) -> tuple[Any, ...]: ... @property def __parameters__(self) -> tuple[Any, ...]: ... def __new__(cls, origin: type, args: Any, /) -> Self: ... def __getitem__(self, typeargs: Any, /) -> GenericAlias: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... def __mro_entries__(self, bases: Iterable[object], /) -> tuple[type, ...]: ... if sys.version_info >= (3, 11): @property def __unpacked__(self) -> bool: ... @property def __typing_unpacked_tuple_args__(self) -> tuple[Any, ...] | None: ... if sys.version_info >= (3, 10): def __or__(self, value: Any, /) -> UnionType: ... def __ror__(self, value: Any, /) -> UnionType: ... # GenericAlias delegates attr access to `__origin__` def __getattr__(self, name: str) -> Any: ... if sys.version_info >= (3, 10): @final class NoneType: def __bool__(self) -> Literal[False]: ... @final class EllipsisType: ... @final class NotImplementedType(Any): ... @final class UnionType: @property def __args__(self) -> tuple[Any, ...]: ... @property def __parameters__(self) -> tuple[Any, ...]: ... # `(int | str) | Literal["foo"]` returns a generic alias to an instance of `_SpecialForm` (`Union`). # Normally we'd express this using the return type of `_SpecialForm.__ror__`, # but because `UnionType.__or__` accepts `Any`, type checkers will use # the return type of `UnionType.__or__` to infer the result of this operation # rather than `_SpecialForm.__ror__`. To mitigate this, we use `| Any` # in the return type of `UnionType.__(r)or__`. def __or__(self, value: Any, /) -> UnionType | Any: ... def __ror__(self, value: Any, /) -> UnionType | Any: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... # you can only subscript a `UnionType` instance if at least one of the elements # in the union is a generic alias instance that has a non-empty `__parameters__` def __getitem__(self, parameters: Any) -> object: ... if sys.version_info >= (3, 13): @final class CapsuleType: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/typing.pyi0000644000175100017510000012135515112307767020427 0ustar00runnerrunner# Since this module defines "overload" it is not recognized by Ruff as typing.overload # TODO: The collections import is required, otherwise mypy crashes. # https://github.com/python/mypy/issues/16744 import collections # noqa: F401 # pyright: ignore[reportUnusedImport] import sys import typing_extensions from _collections_abc import dict_items, dict_keys, dict_values from _typeshed import IdentityFunction, ReadableBuffer, SupportsGetItem, SupportsGetItemViewable, SupportsKeysAndGetItem, Viewable from abc import ABCMeta, abstractmethod from re import Match as Match, Pattern as Pattern from types import ( BuiltinFunctionType, CodeType, FunctionType, GenericAlias, MethodDescriptorType, MethodType, MethodWrapperType, ModuleType, TracebackType, WrapperDescriptorType, ) from typing_extensions import Never as _Never, ParamSpec as _ParamSpec, deprecated if sys.version_info >= (3, 14): from _typeshed import EvaluateFunc from annotationlib import Format if sys.version_info >= (3, 10): from types import UnionType __all__ = [ "AbstractSet", "Annotated", "Any", "AnyStr", "AsyncContextManager", "AsyncGenerator", "AsyncIterable", "AsyncIterator", "Awaitable", "BinaryIO", "ByteString", "Callable", "ChainMap", "ClassVar", "Collection", "Container", "ContextManager", "Coroutine", "Counter", "DefaultDict", "Deque", "Dict", "Final", "ForwardRef", "FrozenSet", "Generator", "Generic", "Hashable", "IO", "ItemsView", "Iterable", "Iterator", "KeysView", "List", "Literal", "Mapping", "MappingView", "Match", "MutableMapping", "MutableSequence", "MutableSet", "NamedTuple", "NewType", "NoReturn", "Optional", "OrderedDict", "Pattern", "Protocol", "Reversible", "Sequence", "Set", "Sized", "SupportsAbs", "SupportsBytes", "SupportsComplex", "SupportsFloat", "SupportsIndex", "SupportsInt", "SupportsRound", "Text", "TextIO", "Tuple", "Type", "TypeVar", "TypedDict", "Union", "ValuesView", "TYPE_CHECKING", "cast", "final", "get_args", "get_origin", "get_type_hints", "no_type_check", "no_type_check_decorator", "overload", "runtime_checkable", ] if sys.version_info >= (3, 14): __all__ += ["evaluate_forward_ref"] if sys.version_info >= (3, 10): __all__ += ["Concatenate", "ParamSpec", "ParamSpecArgs", "ParamSpecKwargs", "TypeAlias", "TypeGuard", "is_typeddict"] if sys.version_info >= (3, 11): __all__ += [ "LiteralString", "Never", "NotRequired", "Required", "Self", "TypeVarTuple", "Unpack", "assert_never", "assert_type", "clear_overloads", "dataclass_transform", "get_overloads", "reveal_type", ] if sys.version_info >= (3, 12): __all__ += ["TypeAliasType", "override"] if sys.version_info >= (3, 13): __all__ += ["get_protocol_members", "is_protocol", "NoDefault", "TypeIs", "ReadOnly"] # We can't use this name here because it leads to issues with mypy, likely # due to an import cycle. Below instead we use Any with a comment. # from _typeshed import AnnotationForm class Any: ... class _Final: __slots__ = ("__weakref__",) def final(f: _T) -> _T: ... @final class TypeVar: @property def __name__(self) -> str: ... @property def __bound__(self) -> Any | None: ... # AnnotationForm @property def __constraints__(self) -> tuple[Any, ...]: ... # AnnotationForm @property def __covariant__(self) -> bool: ... @property def __contravariant__(self) -> bool: ... if sys.version_info >= (3, 12): @property def __infer_variance__(self) -> bool: ... if sys.version_info >= (3, 13): @property def __default__(self) -> Any: ... # AnnotationForm if sys.version_info >= (3, 13): def __new__( cls, name: str, *constraints: Any, # AnnotationForm bound: Any | None = None, # AnnotationForm contravariant: bool = False, covariant: bool = False, infer_variance: bool = False, default: Any = ..., # AnnotationForm ) -> Self: ... elif sys.version_info >= (3, 12): def __new__( cls, name: str, *constraints: Any, # AnnotationForm bound: Any | None = None, # AnnotationForm covariant: bool = False, contravariant: bool = False, infer_variance: bool = False, ) -> Self: ... elif sys.version_info >= (3, 11): def __new__( cls, name: str, *constraints: Any, # AnnotationForm bound: Any | None = None, # AnnotationForm covariant: bool = False, contravariant: bool = False, ) -> Self: ... else: def __init__( self, name: str, *constraints: Any, # AnnotationForm bound: Any | None = None, # AnnotationForm covariant: bool = False, contravariant: bool = False, ) -> None: ... if sys.version_info >= (3, 10): def __or__(self, right: Any, /) -> _SpecialForm: ... # AnnotationForm def __ror__(self, left: Any, /) -> _SpecialForm: ... # AnnotationForm if sys.version_info >= (3, 11): def __typing_subst__(self, arg: Any, /) -> Any: ... if sys.version_info >= (3, 13): def __typing_prepare_subst__(self, alias: Any, args: Any, /) -> tuple[Any, ...]: ... def has_default(self) -> bool: ... if sys.version_info >= (3, 14): @property def evaluate_bound(self) -> EvaluateFunc | None: ... @property def evaluate_constraints(self) -> EvaluateFunc | None: ... @property def evaluate_default(self) -> EvaluateFunc | None: ... # N.B. Keep this definition in sync with typing_extensions._SpecialForm @final class _SpecialForm(_Final): __slots__ = ("_name", "__doc__", "_getitem") def __getitem__(self, parameters: Any) -> object: ... if sys.version_info >= (3, 10): def __or__(self, other: Any) -> _SpecialForm: ... def __ror__(self, other: Any) -> _SpecialForm: ... Union: _SpecialForm Protocol: _SpecialForm Callable: _SpecialForm Type: _SpecialForm NoReturn: _SpecialForm ClassVar: _SpecialForm Optional: _SpecialForm Tuple: _SpecialForm Final: _SpecialForm Literal: _SpecialForm TypedDict: _SpecialForm if sys.version_info >= (3, 11): Self: _SpecialForm Never: _SpecialForm Unpack: _SpecialForm Required: _SpecialForm NotRequired: _SpecialForm LiteralString: _SpecialForm @final class TypeVarTuple: @property def __name__(self) -> str: ... if sys.version_info >= (3, 13): @property def __default__(self) -> Any: ... # AnnotationForm def has_default(self) -> bool: ... if sys.version_info >= (3, 13): def __new__(cls, name: str, *, default: Any = ...) -> Self: ... # AnnotationForm elif sys.version_info >= (3, 12): def __new__(cls, name: str) -> Self: ... else: def __init__(self, name: str) -> None: ... def __iter__(self) -> Any: ... def __typing_subst__(self, arg: Never, /) -> Never: ... def __typing_prepare_subst__(self, alias: Any, args: Any, /) -> tuple[Any, ...]: ... if sys.version_info >= (3, 14): @property def evaluate_default(self) -> EvaluateFunc | None: ... if sys.version_info >= (3, 10): @final class ParamSpecArgs: @property def __origin__(self) -> ParamSpec: ... if sys.version_info >= (3, 12): def __new__(cls, origin: ParamSpec) -> Self: ... else: def __init__(self, origin: ParamSpec) -> None: ... def __eq__(self, other: object, /) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] @final class ParamSpecKwargs: @property def __origin__(self) -> ParamSpec: ... if sys.version_info >= (3, 12): def __new__(cls, origin: ParamSpec) -> Self: ... else: def __init__(self, origin: ParamSpec) -> None: ... def __eq__(self, other: object, /) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] @final class ParamSpec: @property def __name__(self) -> str: ... @property def __bound__(self) -> Any | None: ... # AnnotationForm @property def __covariant__(self) -> bool: ... @property def __contravariant__(self) -> bool: ... if sys.version_info >= (3, 12): @property def __infer_variance__(self) -> bool: ... if sys.version_info >= (3, 13): @property def __default__(self) -> Any: ... # AnnotationForm if sys.version_info >= (3, 13): def __new__( cls, name: str, *, bound: Any | None = None, # AnnotationForm contravariant: bool = False, covariant: bool = False, infer_variance: bool = False, default: Any = ..., # AnnotationForm ) -> Self: ... elif sys.version_info >= (3, 12): def __new__( cls, name: str, *, bound: Any | None = None, # AnnotationForm contravariant: bool = False, covariant: bool = False, infer_variance: bool = False, ) -> Self: ... elif sys.version_info >= (3, 11): def __new__( cls, name: str, *, bound: Any | None = None, # AnnotationForm contravariant: bool = False, covariant: bool = False, ) -> Self: ... else: def __init__( self, name: str, *, bound: Any | None = None, # AnnotationForm contravariant: bool = False, covariant: bool = False, ) -> None: ... @property def args(self) -> ParamSpecArgs: ... @property def kwargs(self) -> ParamSpecKwargs: ... if sys.version_info >= (3, 11): def __typing_subst__(self, arg: Any, /) -> Any: ... def __typing_prepare_subst__(self, alias: Any, args: Any, /) -> tuple[Any, ...]: ... def __or__(self, right: Any, /) -> _SpecialForm: ... def __ror__(self, left: Any, /) -> _SpecialForm: ... if sys.version_info >= (3, 13): def has_default(self) -> bool: ... if sys.version_info >= (3, 14): @property def evaluate_default(self) -> EvaluateFunc | None: ... Concatenate: _SpecialForm TypeAlias: _SpecialForm TypeGuard: _SpecialForm class NewType: def __init__(self, name: str, tp: Any) -> None: ... # AnnotationForm if sys.version_info >= (3, 11): @staticmethod def __call__(x: _T, /) -> _T: ... else: def __call__(self, x: _T) -> _T: ... def __or__(self, other: Any) -> _SpecialForm: ... def __ror__(self, other: Any) -> _SpecialForm: ... __supertype__: type | NewType else: def NewType(name: str, tp: Any) -> Any: ... _F = TypeVar("_F", bound=Callable[..., Any]) _P = _ParamSpec("_P") _T = TypeVar("_T") _FT = TypeVar("_FT", bound=Callable[..., Any] | type) # These type variables are used by the container types. _S = TypeVar("_S") _KT = TypeVar("_KT") # Key type. _VT = TypeVar("_VT") # Value type. _T_co = TypeVar("_T_co", covariant=True) # Any type covariant containers. _KT_co = TypeVar("_KT_co", covariant=True) # Key type covariant containers. _VT_co = TypeVar("_VT_co", covariant=True) # Value type covariant containers. _TC = TypeVar("_TC", bound=type[object]) def overload(func: _F) -> _F: ... def no_type_check(arg: _F) -> _F: ... def no_type_check_decorator(decorator: Callable[_P, _T]) -> Callable[_P, _T]: ... # This itself is only available during type checking def type_check_only(func_or_cls: _FT) -> _FT: ... # Type aliases and type constructors @type_check_only class _Alias: # Class for defining generic aliases for library types. def __getitem__(self, typeargs: Any) -> Any: ... List = _Alias() Dict = _Alias() DefaultDict = _Alias() Set = _Alias() FrozenSet = _Alias() Counter = _Alias() Deque = _Alias() ChainMap = _Alias() OrderedDict = _Alias() Annotated: _SpecialForm # Predefined type variables. AnyStr = TypeVar("AnyStr", str, bytes) # noqa: Y001 @type_check_only class _Generic: if sys.version_info < (3, 12): __slots__ = () if sys.version_info >= (3, 10): @classmethod def __class_getitem__(cls, args: TypeVar | ParamSpec | tuple[TypeVar | ParamSpec, ...]) -> _Final: ... else: @classmethod def __class_getitem__(cls, args: TypeVar | tuple[TypeVar, ...]) -> _Final: ... Generic: type[_Generic] class _ProtocolMeta(ABCMeta): if sys.version_info >= (3, 12): def __init__(cls, *args: Any, **kwargs: Any) -> None: ... # Abstract base classes. def runtime_checkable(cls: _TC) -> _TC: ... @runtime_checkable class SupportsInt(Protocol, metaclass=ABCMeta): __slots__ = () @abstractmethod def __int__(self) -> int: ... @runtime_checkable class SupportsFloat(Protocol, metaclass=ABCMeta): __slots__ = () @abstractmethod def __float__(self) -> float: ... @runtime_checkable class SupportsComplex(Protocol, metaclass=ABCMeta): __slots__ = () @abstractmethod def __complex__(self) -> complex: ... @runtime_checkable class SupportsBytes(Protocol, metaclass=ABCMeta): __slots__ = () @abstractmethod def __bytes__(self) -> bytes: ... @runtime_checkable class SupportsIndex(Protocol, metaclass=ABCMeta): __slots__ = () @abstractmethod def __index__(self) -> int: ... @runtime_checkable class SupportsAbs(Protocol[_T_co]): __slots__ = () @abstractmethod def __abs__(self) -> _T_co: ... @runtime_checkable class SupportsRound(Protocol[_T_co]): __slots__ = () @overload @abstractmethod def __round__(self) -> int: ... @overload @abstractmethod def __round__(self, ndigits: int, /) -> _T_co: ... @runtime_checkable class Sized(Protocol, metaclass=ABCMeta): @abstractmethod def __len__(self) -> int: ... @runtime_checkable class Hashable(Protocol, metaclass=ABCMeta): # TODO: This is special, in that a subclass of a hashable class may not be hashable # (for example, list vs. object). It's not obvious how to represent this. This class # is currently mostly useless for static checking. @abstractmethod def __hash__(self) -> int: ... @runtime_checkable class Iterable(Protocol[_T_co]): @abstractmethod def __iter__(self) -> Iterator[_T_co]: ... @runtime_checkable class Iterator(Iterable[_T_co], Protocol[_T_co]): @abstractmethod def __next__(self) -> _T_co: ... def __iter__(self) -> Iterator[_T_co]: ... @runtime_checkable class Reversible(Iterable[_T_co], Protocol[_T_co]): @abstractmethod def __reversed__(self) -> Iterator[_T_co]: ... _YieldT_co = TypeVar("_YieldT_co", covariant=True) _SendT_contra = TypeVar("_SendT_contra", contravariant=True, default=None) _ReturnT_co = TypeVar("_ReturnT_co", covariant=True, default=None) @runtime_checkable class Generator(Iterator[_YieldT_co], Protocol[_YieldT_co, _SendT_contra, _ReturnT_co]): def __next__(self) -> _YieldT_co: ... @abstractmethod def send(self, value: _SendT_contra, /) -> _YieldT_co: ... @overload @abstractmethod def throw( self, typ: type[BaseException], val: BaseException | object = None, tb: TracebackType | None = None, / ) -> _YieldT_co: ... @overload @abstractmethod def throw(self, typ: BaseException, val: None = None, tb: TracebackType | None = None, /) -> _YieldT_co: ... if sys.version_info >= (3, 13): def close(self) -> _ReturnT_co | None: ... else: def close(self) -> None: ... def __iter__(self) -> Generator[_YieldT_co, _SendT_contra, _ReturnT_co]: ... # NOTE: Prior to Python 3.13 these aliases are lacking the second _ExitT_co parameter if sys.version_info >= (3, 13): from contextlib import AbstractAsyncContextManager as AsyncContextManager, AbstractContextManager as ContextManager else: from contextlib import AbstractAsyncContextManager, AbstractContextManager @runtime_checkable class ContextManager(AbstractContextManager[_T_co, bool | None], Protocol[_T_co]): ... @runtime_checkable class AsyncContextManager(AbstractAsyncContextManager[_T_co, bool | None], Protocol[_T_co]): ... @runtime_checkable class Awaitable(Protocol[_T_co]): @abstractmethod def __await__(self) -> Generator[Any, Any, _T_co]: ... # Non-default variations to accommodate coroutines, and `AwaitableGenerator` having a 4th type parameter. _SendT_nd_contra = TypeVar("_SendT_nd_contra", contravariant=True) _ReturnT_nd_co = TypeVar("_ReturnT_nd_co", covariant=True) class Coroutine(Awaitable[_ReturnT_nd_co], Generic[_YieldT_co, _SendT_nd_contra, _ReturnT_nd_co]): __name__: str __qualname__: str @abstractmethod def send(self, value: _SendT_nd_contra, /) -> _YieldT_co: ... @overload @abstractmethod def throw( self, typ: type[BaseException], val: BaseException | object = None, tb: TracebackType | None = None, / ) -> _YieldT_co: ... @overload @abstractmethod def throw(self, typ: BaseException, val: None = None, tb: TracebackType | None = None, /) -> _YieldT_co: ... @abstractmethod def close(self) -> None: ... # NOTE: This type does not exist in typing.py or PEP 484 but mypy needs it to exist. # The parameters correspond to Generator, but the 4th is the original type. # Obsolete, use _typeshed._type_checker_internals.AwaitableGenerator instead. @type_check_only class AwaitableGenerator( Awaitable[_ReturnT_nd_co], Generator[_YieldT_co, _SendT_nd_contra, _ReturnT_nd_co], Generic[_YieldT_co, _SendT_nd_contra, _ReturnT_nd_co, _S], metaclass=ABCMeta, ): ... @runtime_checkable class AsyncIterable(Protocol[_T_co]): @abstractmethod def __aiter__(self) -> AsyncIterator[_T_co]: ... @runtime_checkable class AsyncIterator(AsyncIterable[_T_co], Protocol[_T_co]): @abstractmethod def __anext__(self) -> Awaitable[_T_co]: ... def __aiter__(self) -> AsyncIterator[_T_co]: ... @runtime_checkable class AsyncGenerator(AsyncIterator[_YieldT_co], Protocol[_YieldT_co, _SendT_contra]): def __anext__(self) -> Coroutine[Any, Any, _YieldT_co]: ... @abstractmethod def asend(self, value: _SendT_contra, /) -> Coroutine[Any, Any, _YieldT_co]: ... @overload @abstractmethod def athrow( self, typ: type[BaseException], val: BaseException | object = None, tb: TracebackType | None = None, / ) -> Coroutine[Any, Any, _YieldT_co]: ... @overload @abstractmethod def athrow( self, typ: BaseException, val: None = None, tb: TracebackType | None = None, / ) -> Coroutine[Any, Any, _YieldT_co]: ... def aclose(self) -> Coroutine[Any, Any, None]: ... @runtime_checkable class Container(Protocol[_T_co]): # This is generic more on vibes than anything else @abstractmethod def __contains__(self, x: object, /) -> bool: ... @runtime_checkable class Collection(Iterable[_T_co], Container[_T_co], Protocol[_T_co]): # Implement Sized (but don't have it as a base class). @abstractmethod def __len__(self) -> int: ... class Sequence(Reversible[_T_co], Collection[_T_co]): @overload @abstractmethod def __getitem__(self, index: int) -> _T_co: ... @overload @abstractmethod def __getitem__(self, index: slice) -> Sequence[_T_co]: ... # Mixin methods def index(self, value: Any, start: int = 0, stop: int = ...) -> int: ... def count(self, value: Any) -> int: ... def __contains__(self, value: object) -> bool: ... def __iter__(self) -> Iterator[_T_co]: ... def __reversed__(self) -> Iterator[_T_co]: ... class MutableSequence(Sequence[_T]): @abstractmethod def insert(self, index: int, value: _T) -> None: ... @overload @abstractmethod def __getitem__(self, index: int) -> _T: ... @overload @abstractmethod def __getitem__(self, index: slice) -> MutableSequence[_T]: ... @overload @abstractmethod def __setitem__(self, index: int, value: _T) -> None: ... @overload @abstractmethod def __setitem__(self, index: slice, value: Iterable[_T]) -> None: ... @overload @abstractmethod def __delitem__(self, index: int) -> None: ... @overload @abstractmethod def __delitem__(self, index: slice) -> None: ... # Mixin methods def append(self, value: _T) -> None: ... def clear(self) -> None: ... def extend(self, values: Iterable[_T]) -> None: ... def reverse(self) -> None: ... def pop(self, index: int = -1) -> _T: ... def remove(self, value: _T) -> None: ... def __iadd__(self, values: Iterable[_T]) -> typing_extensions.Self: ... class AbstractSet(Collection[_T_co]): @abstractmethod def __contains__(self, x: object) -> bool: ... def _hash(self) -> int: ... # Mixin methods def __le__(self, other: AbstractSet[Any]) -> bool: ... def __lt__(self, other: AbstractSet[Any]) -> bool: ... def __gt__(self, other: AbstractSet[Any]) -> bool: ... def __ge__(self, other: AbstractSet[Any]) -> bool: ... def __and__(self, other: AbstractSet[Any]) -> AbstractSet[_T_co]: ... def __or__(self, other: AbstractSet[_T]) -> AbstractSet[_T_co | _T]: ... def __sub__(self, other: AbstractSet[Any]) -> AbstractSet[_T_co]: ... def __xor__(self, other: AbstractSet[_T]) -> AbstractSet[_T_co | _T]: ... def __eq__(self, other: object) -> bool: ... def isdisjoint(self, other: Iterable[Any]) -> bool: ... class MutableSet(AbstractSet[_T]): @abstractmethod def add(self, value: _T) -> None: ... @abstractmethod def discard(self, value: _T) -> None: ... # Mixin methods def clear(self) -> None: ... def pop(self) -> _T: ... def remove(self, value: _T) -> None: ... def __ior__(self, it: AbstractSet[_T]) -> typing_extensions.Self: ... # type: ignore[override,misc] def __iand__(self, it: AbstractSet[Any]) -> typing_extensions.Self: ... def __ixor__(self, it: AbstractSet[_T]) -> typing_extensions.Self: ... # type: ignore[override,misc] def __isub__(self, it: AbstractSet[Any]) -> typing_extensions.Self: ... class MappingView(Sized): __slots__ = ("_mapping",) def __init__(self, mapping: Sized) -> None: ... # undocumented def __len__(self) -> int: ... class ItemsView(MappingView, AbstractSet[tuple[_KT_co, _VT_co]], Generic[_KT_co, _VT_co]): def __init__(self, mapping: SupportsGetItemViewable[_KT_co, _VT_co]) -> None: ... # undocumented def __and__(self, other: Iterable[Any]) -> set[tuple[_KT_co, _VT_co]]: ... def __rand__(self, other: Iterable[_T]) -> set[_T]: ... def __contains__(self, item: tuple[object, object]) -> bool: ... # type: ignore[override] def __iter__(self) -> Iterator[tuple[_KT_co, _VT_co]]: ... def __or__(self, other: Iterable[_T]) -> set[tuple[_KT_co, _VT_co] | _T]: ... def __ror__(self, other: Iterable[_T]) -> set[tuple[_KT_co, _VT_co] | _T]: ... def __sub__(self, other: Iterable[Any]) -> set[tuple[_KT_co, _VT_co]]: ... def __rsub__(self, other: Iterable[_T]) -> set[_T]: ... def __xor__(self, other: Iterable[_T]) -> set[tuple[_KT_co, _VT_co] | _T]: ... def __rxor__(self, other: Iterable[_T]) -> set[tuple[_KT_co, _VT_co] | _T]: ... class KeysView(MappingView, AbstractSet[_KT_co]): def __init__(self, mapping: Viewable[_KT_co]) -> None: ... # undocumented def __and__(self, other: Iterable[Any]) -> set[_KT_co]: ... def __rand__(self, other: Iterable[_T]) -> set[_T]: ... def __contains__(self, key: object) -> bool: ... def __iter__(self) -> Iterator[_KT_co]: ... def __or__(self, other: Iterable[_T]) -> set[_KT_co | _T]: ... def __ror__(self, other: Iterable[_T]) -> set[_KT_co | _T]: ... def __sub__(self, other: Iterable[Any]) -> set[_KT_co]: ... def __rsub__(self, other: Iterable[_T]) -> set[_T]: ... def __xor__(self, other: Iterable[_T]) -> set[_KT_co | _T]: ... def __rxor__(self, other: Iterable[_T]) -> set[_KT_co | _T]: ... class ValuesView(MappingView, Collection[_VT_co]): def __init__(self, mapping: SupportsGetItemViewable[Any, _VT_co]) -> None: ... # undocumented def __contains__(self, value: object) -> bool: ... def __iter__(self) -> Iterator[_VT_co]: ... class Mapping(Collection[_KT], Generic[_KT, _VT_co]): # TODO: We wish the key type could also be covariant, but that doesn't work, # see discussion in https://github.com/python/typing/pull/273. @abstractmethod def __getitem__(self, key: _KT, /) -> _VT_co: ... # Mixin methods @overload def get(self, key: _KT, /) -> _VT_co | None: ... @overload def get(self, key: _KT, /, default: _VT_co) -> _VT_co: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] # Covariant type as parameter @overload def get(self, key: _KT, /, default: _T) -> _VT_co | _T: ... def items(self) -> ItemsView[_KT, _VT_co]: ... def keys(self) -> KeysView[_KT]: ... def values(self) -> ValuesView[_VT_co]: ... def __contains__(self, key: object, /) -> bool: ... def __eq__(self, other: object, /) -> bool: ... class MutableMapping(Mapping[_KT, _VT]): @abstractmethod def __setitem__(self, key: _KT, value: _VT, /) -> None: ... @abstractmethod def __delitem__(self, key: _KT, /) -> None: ... def clear(self) -> None: ... @overload def pop(self, key: _KT, /) -> _VT: ... @overload def pop(self, key: _KT, /, default: _VT) -> _VT: ... @overload def pop(self, key: _KT, /, default: _T) -> _VT | _T: ... def popitem(self) -> tuple[_KT, _VT]: ... # This overload should be allowed only if the value type is compatible with None. # # Keep the following methods in line with MutableMapping.setdefault, modulo positional-only differences: # -- collections.OrderedDict.setdefault # -- collections.ChainMap.setdefault # -- weakref.WeakKeyDictionary.setdefault @overload def setdefault(self: MutableMapping[_KT, _T | None], key: _KT, default: None = None, /) -> _T | None: ... @overload def setdefault(self, key: _KT, default: _VT, /) -> _VT: ... # 'update' used to take a Union, but using overloading is better. # The second overloaded type here is a bit too general, because # Mapping[tuple[_KT, _VT], W] is a subclass of Iterable[tuple[_KT, _VT]], # but will always have the behavior of the first overloaded type # at runtime, leading to keys of a mix of types _KT and tuple[_KT, _VT]. # We don't currently have any way of forcing all Mappings to use # the first overload, but by using overloading rather than a Union, # mypy will commit to using the first overload when the argument is # known to be a Mapping with unknown type parameters, which is closer # to the behavior we want. See mypy issue #1430. # # Various mapping classes have __ior__ methods that should be kept roughly in line with .update(): # -- dict.__ior__ # -- os._Environ.__ior__ # -- collections.UserDict.__ior__ # -- collections.ChainMap.__ior__ # -- peewee.attrdict.__add__ # -- peewee.attrdict.__iadd__ # -- weakref.WeakValueDictionary.__ior__ # -- weakref.WeakKeyDictionary.__ior__ @overload def update(self, m: SupportsKeysAndGetItem[_KT, _VT], /) -> None: ... @overload def update(self: SupportsGetItem[str, _VT], m: SupportsKeysAndGetItem[str, _VT], /, **kwargs: _VT) -> None: ... @overload def update(self, m: Iterable[tuple[_KT, _VT]], /) -> None: ... @overload def update(self: SupportsGetItem[str, _VT], m: Iterable[tuple[str, _VT]], /, **kwargs: _VT) -> None: ... @overload def update(self: SupportsGetItem[str, _VT], **kwargs: _VT) -> None: ... Text = str TYPE_CHECKING: Final[bool] # In stubs, the arguments of the IO class are marked as positional-only. # This differs from runtime, but better reflects the fact that in reality # classes deriving from IO use different names for the arguments. class IO(Generic[AnyStr]): # At runtime these are all abstract properties, # but making them abstract in the stub is hugely disruptive, for not much gain. # See #8726 __slots__ = () @property def mode(self) -> str: ... # Usually str, but may be bytes if a bytes path was passed to open(). See #10737. # If PEP 696 becomes available, we may want to use a defaulted TypeVar here. @property def name(self) -> str | Any: ... @abstractmethod def close(self) -> None: ... @property def closed(self) -> bool: ... @abstractmethod def fileno(self) -> int: ... @abstractmethod def flush(self) -> None: ... @abstractmethod def isatty(self) -> bool: ... @abstractmethod def read(self, n: int = -1, /) -> AnyStr: ... @abstractmethod def readable(self) -> bool: ... @abstractmethod def readline(self, limit: int = -1, /) -> AnyStr: ... @abstractmethod def readlines(self, hint: int = -1, /) -> list[AnyStr]: ... @abstractmethod def seek(self, offset: int, whence: int = 0, /) -> int: ... @abstractmethod def seekable(self) -> bool: ... @abstractmethod def tell(self) -> int: ... @abstractmethod def truncate(self, size: int | None = None, /) -> int: ... @abstractmethod def writable(self) -> bool: ... @abstractmethod @overload def write(self: IO[bytes], s: ReadableBuffer, /) -> int: ... @abstractmethod @overload def write(self, s: AnyStr, /) -> int: ... @abstractmethod @overload def writelines(self: IO[bytes], lines: Iterable[ReadableBuffer], /) -> None: ... @abstractmethod @overload def writelines(self, lines: Iterable[AnyStr], /) -> None: ... @abstractmethod def __next__(self) -> AnyStr: ... @abstractmethod def __iter__(self) -> Iterator[AnyStr]: ... @abstractmethod def __enter__(self) -> IO[AnyStr]: ... @abstractmethod def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None, / ) -> None: ... class BinaryIO(IO[bytes]): __slots__ = () @abstractmethod def __enter__(self) -> BinaryIO: ... class TextIO(IO[str]): # See comment regarding the @properties in the `IO` class __slots__ = () @property def buffer(self) -> BinaryIO: ... @property def encoding(self) -> str: ... @property def errors(self) -> str | None: ... @property def line_buffering(self) -> int: ... # int on PyPy, bool on CPython @property def newlines(self) -> Any: ... # None, str or tuple @abstractmethod def __enter__(self) -> TextIO: ... ByteString: typing_extensions.TypeAlias = bytes | bytearray | memoryview # Functions _get_type_hints_obj_allowed_types: typing_extensions.TypeAlias = ( # noqa: Y042 object | Callable[..., Any] | FunctionType | BuiltinFunctionType | MethodType | ModuleType | WrapperDescriptorType | MethodWrapperType | MethodDescriptorType ) if sys.version_info >= (3, 14): def get_type_hints( obj: _get_type_hints_obj_allowed_types, globalns: dict[str, Any] | None = None, localns: Mapping[str, Any] | None = None, include_extras: bool = False, *, format: Format | None = None, ) -> dict[str, Any]: ... # AnnotationForm else: def get_type_hints( obj: _get_type_hints_obj_allowed_types, globalns: dict[str, Any] | None = None, localns: Mapping[str, Any] | None = None, include_extras: bool = False, ) -> dict[str, Any]: ... # AnnotationForm def get_args(tp: Any) -> tuple[Any, ...]: ... # AnnotationForm if sys.version_info >= (3, 10): @overload def get_origin(tp: ParamSpecArgs | ParamSpecKwargs) -> ParamSpec: ... @overload def get_origin(tp: UnionType) -> type[UnionType]: ... @overload def get_origin(tp: GenericAlias) -> type: ... @overload def get_origin(tp: Any) -> Any | None: ... # AnnotationForm @overload def cast(typ: type[_T], val: Any) -> _T: ... @overload def cast(typ: str, val: Any) -> Any: ... @overload def cast(typ: object, val: Any) -> Any: ... if sys.version_info >= (3, 11): def reveal_type(obj: _T, /) -> _T: ... def assert_never(arg: Never, /) -> Never: ... def assert_type(val: _T, typ: Any, /) -> _T: ... # AnnotationForm def clear_overloads() -> None: ... def get_overloads(func: Callable[..., object]) -> Sequence[Callable[..., object]]: ... def dataclass_transform( *, eq_default: bool = True, order_default: bool = False, kw_only_default: bool = False, frozen_default: bool = False, # on 3.11, runtime accepts it as part of kwargs field_specifiers: tuple[type[Any] | Callable[..., Any], ...] = (), **kwargs: Any, ) -> IdentityFunction: ... # Type constructors # Obsolete, will be changed to a function. Use _typeshed._type_checker_internals.NamedTupleFallback instead. class NamedTuple(tuple[Any, ...]): _field_defaults: ClassVar[dict[str, Any]] _fields: ClassVar[tuple[str, ...]] # __orig_bases__ sometimes exists on <3.12, but not consistently # So we only add it to the stub on 3.12+. if sys.version_info >= (3, 12): __orig_bases__: ClassVar[tuple[Any, ...]] @overload def __init__(self, typename: str, fields: Iterable[tuple[str, Any]], /) -> None: ... @overload @typing_extensions.deprecated( "Creating a typing.NamedTuple using keyword arguments is deprecated and support will be removed in Python 3.15" ) def __init__(self, typename: str, fields: None = None, /, **kwargs: Any) -> None: ... @classmethod def _make(cls, iterable: Iterable[Any]) -> typing_extensions.Self: ... def _asdict(self) -> dict[str, Any]: ... def _replace(self, **kwargs: Any) -> typing_extensions.Self: ... if sys.version_info >= (3, 13): def __replace__(self, **kwargs: Any) -> typing_extensions.Self: ... # Internal mypy fallback type for all typed dicts (does not exist at runtime) # N.B. Keep this mostly in sync with typing_extensions._TypedDict/mypy_extensions._TypedDict # Obsolete, use _typeshed._type_checker_internals.TypedDictFallback instead. @type_check_only class _TypedDict(Mapping[str, object], metaclass=ABCMeta): __total__: ClassVar[bool] __required_keys__: ClassVar[frozenset[str]] __optional_keys__: ClassVar[frozenset[str]] # __orig_bases__ sometimes exists on <3.12, but not consistently, # so we only add it to the stub on 3.12+ if sys.version_info >= (3, 12): __orig_bases__: ClassVar[tuple[Any, ...]] if sys.version_info >= (3, 13): __readonly_keys__: ClassVar[frozenset[str]] __mutable_keys__: ClassVar[frozenset[str]] def copy(self) -> typing_extensions.Self: ... # Using Never so that only calls using mypy plugin hook that specialize the signature # can go through. def setdefault(self, k: _Never, default: object) -> object: ... # Mypy plugin hook for 'pop' expects that 'default' has a type variable type. def pop(self, k: _Never, default: _T = ...) -> object: ... # pyright: ignore[reportInvalidTypeVarUse] def update(self, m: typing_extensions.Self, /) -> None: ... def __delitem__(self, k: _Never) -> None: ... def items(self) -> dict_items[str, object]: ... def keys(self) -> dict_keys[str, object]: ... def values(self) -> dict_values[str, object]: ... @overload def __or__(self, value: typing_extensions.Self, /) -> typing_extensions.Self: ... @overload def __or__(self, value: dict[str, Any], /) -> dict[str, object]: ... @overload def __ror__(self, value: typing_extensions.Self, /) -> typing_extensions.Self: ... @overload def __ror__(self, value: dict[str, Any], /) -> dict[str, object]: ... # supposedly incompatible definitions of __or__ and __ior__ def __ior__(self, value: typing_extensions.Self, /) -> typing_extensions.Self: ... # type: ignore[misc] if sys.version_info >= (3, 14): from annotationlib import ForwardRef as ForwardRef def evaluate_forward_ref( forward_ref: ForwardRef, *, owner: object = None, globals: dict[str, Any] | None = None, locals: Mapping[str, Any] | None = None, type_params: tuple[TypeVar, ParamSpec, TypeVarTuple] | None = None, format: Format | None = None, ) -> Any: ... # AnnotationForm else: @final class ForwardRef(_Final): __slots__ = ( "__forward_arg__", "__forward_code__", "__forward_evaluated__", "__forward_value__", "__forward_is_argument__", "__forward_is_class__", "__forward_module__", ) __forward_arg__: str __forward_code__: CodeType __forward_evaluated__: bool __forward_value__: Any | None # AnnotationForm __forward_is_argument__: bool __forward_is_class__: bool __forward_module__: Any | None def __init__(self, arg: str, is_argument: bool = True, module: Any | None = None, *, is_class: bool = False) -> None: ... if sys.version_info >= (3, 13): @overload @deprecated( "Failing to pass a value to the 'type_params' parameter of ForwardRef._evaluate() is deprecated, " "as it leads to incorrect behaviour when evaluating a stringified annotation " "that references a PEP 695 type parameter. It will be disallowed in Python 3.15." ) def _evaluate( self, globalns: dict[str, Any] | None, localns: Mapping[str, Any] | None, *, recursive_guard: frozenset[str] ) -> Any | None: ... # AnnotationForm @overload def _evaluate( self, globalns: dict[str, Any] | None, localns: Mapping[str, Any] | None, type_params: tuple[TypeVar | ParamSpec | TypeVarTuple, ...], *, recursive_guard: frozenset[str], ) -> Any | None: ... # AnnotationForm elif sys.version_info >= (3, 12): def _evaluate( self, globalns: dict[str, Any] | None, localns: Mapping[str, Any] | None, type_params: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] | None = None, *, recursive_guard: frozenset[str], ) -> Any | None: ... # AnnotationForm else: def _evaluate( self, globalns: dict[str, Any] | None, localns: Mapping[str, Any] | None, recursive_guard: frozenset[str] ) -> Any | None: ... # AnnotationForm def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... if sys.version_info >= (3, 11): def __or__(self, other: Any) -> _SpecialForm: ... def __ror__(self, other: Any) -> _SpecialForm: ... if sys.version_info >= (3, 10): def is_typeddict(tp: object) -> bool: ... def _type_repr(obj: object) -> str: ... if sys.version_info >= (3, 12): _TypeParameter: typing_extensions.TypeAlias = ( TypeVar | typing_extensions.TypeVar | ParamSpec | typing_extensions.ParamSpec | TypeVarTuple | typing_extensions.TypeVarTuple ) def override(method: _F, /) -> _F: ... @final class TypeAliasType: def __new__(cls, name: str, value: Any, *, type_params: tuple[_TypeParameter, ...] = ()) -> Self: ... @property def __value__(self) -> Any: ... # AnnotationForm @property def __type_params__(self) -> tuple[_TypeParameter, ...]: ... @property def __parameters__(self) -> tuple[Any, ...]: ... # AnnotationForm @property def __name__(self) -> str: ... # It's writable on types, but not on instances of TypeAliasType. @property def __module__(self) -> str | None: ... # type: ignore[override] def __getitem__(self, parameters: Any, /) -> GenericAlias: ... # AnnotationForm def __or__(self, right: Any, /) -> _SpecialForm: ... def __ror__(self, left: Any, /) -> _SpecialForm: ... if sys.version_info >= (3, 14): @property def evaluate_value(self) -> EvaluateFunc: ... if sys.version_info >= (3, 13): def is_protocol(tp: type, /) -> bool: ... def get_protocol_members(tp: type, /) -> frozenset[str]: ... @final @type_check_only class _NoDefaultType: ... NoDefault: _NoDefaultType TypeIs: _SpecialForm ReadOnly: _SpecialForm ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/typing_extensions.pyi0000644000175100017510000005544215112307767022711 0ustar00runnerrunnerimport abc import enum import sys from _collections_abc import dict_items, dict_keys, dict_values from _typeshed import AnnotationForm, IdentityFunction, Incomplete, Unused from collections.abc import ( AsyncGenerator as AsyncGenerator, AsyncIterable as AsyncIterable, AsyncIterator as AsyncIterator, Awaitable as Awaitable, Collection as Collection, Container as Container, Coroutine as Coroutine, Generator as Generator, Hashable as Hashable, ItemsView as ItemsView, Iterable as Iterable, Iterator as Iterator, KeysView as KeysView, Mapping as Mapping, MappingView as MappingView, MutableMapping as MutableMapping, MutableSequence as MutableSequence, MutableSet as MutableSet, Reversible as Reversible, Sequence as Sequence, Sized as Sized, ValuesView as ValuesView, ) from contextlib import AbstractAsyncContextManager as AsyncContextManager, AbstractContextManager as ContextManager from re import Match as Match, Pattern as Pattern from types import GenericAlias, ModuleType from typing import ( # noqa: Y022,Y037,Y038,Y039,UP035 IO as IO, TYPE_CHECKING as TYPE_CHECKING, AbstractSet as AbstractSet, Any as Any, AnyStr as AnyStr, BinaryIO as BinaryIO, Callable as Callable, ChainMap as ChainMap, ClassVar as ClassVar, Counter as Counter, DefaultDict as DefaultDict, Deque as Deque, Dict as Dict, ForwardRef as ForwardRef, FrozenSet as FrozenSet, Generic as Generic, List as List, NoReturn as NoReturn, Optional as Optional, Set as Set, Text as Text, TextIO as TextIO, Tuple as Tuple, Type as Type, TypedDict as TypedDict, TypeVar as _TypeVar, Union as Union, _Alias, _SpecialForm, cast as cast, no_type_check as no_type_check, no_type_check_decorator as no_type_check_decorator, overload as overload, type_check_only, ) if sys.version_info >= (3, 10): from types import UnionType # Please keep order the same as at runtime. __all__ = [ # Super-special typing primitives. "Any", "ClassVar", "Concatenate", "Final", "LiteralString", "ParamSpec", "ParamSpecArgs", "ParamSpecKwargs", "Self", "Type", "TypeVar", "TypeVarTuple", "Unpack", # ABCs (from collections.abc). "Awaitable", "AsyncIterator", "AsyncIterable", "Coroutine", "AsyncGenerator", "AsyncContextManager", "Buffer", "ChainMap", # Concrete collection types. "ContextManager", "Counter", "Deque", "DefaultDict", "NamedTuple", "OrderedDict", "TypedDict", # Structural checks, a.k.a. protocols. "SupportsAbs", "SupportsBytes", "SupportsComplex", "SupportsFloat", "SupportsIndex", "SupportsInt", "SupportsRound", "Reader", "Writer", # One-off things. "Annotated", "assert_never", "assert_type", "clear_overloads", "dataclass_transform", "deprecated", "disjoint_base", "Doc", "evaluate_forward_ref", "get_overloads", "final", "Format", "get_annotations", "get_args", "get_origin", "get_original_bases", "get_protocol_members", "get_type_hints", "IntVar", "is_protocol", "is_typeddict", "Literal", "NewType", "overload", "override", "Protocol", "Sentinel", "reveal_type", "runtime", "runtime_checkable", "Text", "TypeAlias", "TypeAliasType", "TypeForm", "TypeGuard", "TypeIs", "TYPE_CHECKING", "type_repr", "Never", "NoReturn", "ReadOnly", "Required", "NotRequired", "NoDefault", "NoExtraItems", # Pure aliases, have always been in typing "AbstractSet", "AnyStr", "BinaryIO", "Callable", "Collection", "Container", "Dict", "ForwardRef", "FrozenSet", "Generator", "Generic", "Hashable", "IO", "ItemsView", "Iterable", "Iterator", "KeysView", "List", "Mapping", "MappingView", "Match", "MutableMapping", "MutableSequence", "MutableSet", "Optional", "Pattern", "Reversible", "Sequence", "Set", "Sized", "TextIO", "Tuple", "Union", "ValuesView", "cast", "no_type_check", "no_type_check_decorator", # Added dynamically "CapsuleType", ] _T = _TypeVar("_T") _F = _TypeVar("_F", bound=Callable[..., Any]) _TC = _TypeVar("_TC", bound=type[object]) _T_co = _TypeVar("_T_co", covariant=True) # Any type covariant containers. _T_contra = _TypeVar("_T_contra", contravariant=True) # Do not import (and re-export) Protocol or runtime_checkable from # typing module because type checkers need to be able to distinguish # typing.Protocol and typing_extensions.Protocol so they can properly # warn users about potential runtime exceptions when using typing.Protocol # on older versions of Python. Protocol: _SpecialForm def runtime_checkable(cls: _TC) -> _TC: ... # This alias for above is kept here for backwards compatibility. runtime = runtime_checkable Final: _SpecialForm def final(f: _F) -> _F: ... def disjoint_base(cls: _TC) -> _TC: ... Literal: _SpecialForm def IntVar(name: str) -> Any: ... # returns a new TypeVar # Internal mypy fallback type for all typed dicts (does not exist at runtime) # N.B. Keep this mostly in sync with typing._TypedDict/mypy_extensions._TypedDict @type_check_only class _TypedDict(Mapping[str, object], metaclass=abc.ABCMeta): __required_keys__: ClassVar[frozenset[str]] __optional_keys__: ClassVar[frozenset[str]] __total__: ClassVar[bool] __orig_bases__: ClassVar[tuple[Any, ...]] # PEP 705 __readonly_keys__: ClassVar[frozenset[str]] __mutable_keys__: ClassVar[frozenset[str]] # PEP 728 __closed__: ClassVar[bool | None] __extra_items__: ClassVar[AnnotationForm] def copy(self) -> Self: ... # Using Never so that only calls using mypy plugin hook that specialize the signature # can go through. def setdefault(self, k: Never, default: object) -> object: ... # Mypy plugin hook for 'pop' expects that 'default' has a type variable type. def pop(self, k: Never, default: _T = ...) -> object: ... # pyright: ignore[reportInvalidTypeVarUse] def update(self, m: Self, /) -> None: ... def items(self) -> dict_items[str, object]: ... def keys(self) -> dict_keys[str, object]: ... def values(self) -> dict_values[str, object]: ... def __delitem__(self, k: Never) -> None: ... @overload def __or__(self, value: Self, /) -> Self: ... @overload def __or__(self, value: dict[str, Any], /) -> dict[str, object]: ... @overload def __ror__(self, value: Self, /) -> Self: ... @overload def __ror__(self, value: dict[str, Any], /) -> dict[str, object]: ... # supposedly incompatible definitions of `__ior__` and `__or__`: # Since this module defines "Self" it is not recognized by Ruff as typing_extensions.Self def __ior__(self, value: Self, /) -> Self: ... # type: ignore[misc] OrderedDict = _Alias() if sys.version_info >= (3, 13): from typing import get_type_hints as get_type_hints else: def get_type_hints( obj: Any, globalns: dict[str, Any] | None = None, localns: Mapping[str, Any] | None = None, include_extras: bool = False ) -> dict[str, AnnotationForm]: ... def get_args(tp: AnnotationForm) -> tuple[AnnotationForm, ...]: ... if sys.version_info >= (3, 10): @overload def get_origin(tp: UnionType) -> type[UnionType]: ... @overload def get_origin(tp: GenericAlias) -> type: ... @overload def get_origin(tp: ParamSpecArgs | ParamSpecKwargs) -> ParamSpec: ... @overload def get_origin(tp: AnnotationForm) -> AnnotationForm | None: ... Annotated: _SpecialForm _AnnotatedAlias: Any # undocumented # New and changed things in 3.10 if sys.version_info >= (3, 10): from typing import ( Concatenate as Concatenate, ParamSpecArgs as ParamSpecArgs, ParamSpecKwargs as ParamSpecKwargs, TypeAlias as TypeAlias, TypeGuard as TypeGuard, is_typeddict as is_typeddict, ) else: @final class ParamSpecArgs: @property def __origin__(self) -> ParamSpec: ... def __init__(self, origin: ParamSpec) -> None: ... @final class ParamSpecKwargs: @property def __origin__(self) -> ParamSpec: ... def __init__(self, origin: ParamSpec) -> None: ... Concatenate: _SpecialForm TypeAlias: _SpecialForm TypeGuard: _SpecialForm def is_typeddict(tp: object) -> bool: ... # New and changed things in 3.11 if sys.version_info >= (3, 11): from typing import ( LiteralString as LiteralString, NamedTuple as NamedTuple, Never as Never, NewType as NewType, NotRequired as NotRequired, Required as Required, Self as Self, Unpack as Unpack, assert_never as assert_never, assert_type as assert_type, clear_overloads as clear_overloads, dataclass_transform as dataclass_transform, get_overloads as get_overloads, reveal_type as reveal_type, ) else: Self: _SpecialForm Never: _SpecialForm def reveal_type(obj: _T, /) -> _T: ... def assert_never(arg: Never, /) -> Never: ... def assert_type(val: _T, typ: AnnotationForm, /) -> _T: ... def clear_overloads() -> None: ... def get_overloads(func: Callable[..., object]) -> Sequence[Callable[..., object]]: ... Required: _SpecialForm NotRequired: _SpecialForm LiteralString: _SpecialForm Unpack: _SpecialForm def dataclass_transform( *, eq_default: bool = True, order_default: bool = False, kw_only_default: bool = False, frozen_default: bool = False, field_specifiers: tuple[type[Any] | Callable[..., Any], ...] = (), **kwargs: object, ) -> IdentityFunction: ... class NamedTuple(tuple[Any, ...]): _field_defaults: ClassVar[dict[str, Any]] _fields: ClassVar[tuple[str, ...]] __orig_bases__: ClassVar[tuple[Any, ...]] @overload def __init__(self, typename: str, fields: Iterable[tuple[str, Any]] = ...) -> None: ... @overload def __init__(self, typename: str, fields: None = None, **kwargs: Any) -> None: ... @classmethod def _make(cls, iterable: Iterable[Any]) -> Self: ... def _asdict(self) -> dict[str, Any]: ... def _replace(self, **kwargs: Any) -> Self: ... class NewType: def __init__(self, name: str, tp: AnnotationForm) -> None: ... def __call__(self, obj: _T, /) -> _T: ... __supertype__: type | NewType if sys.version_info >= (3, 10): def __or__(self, other: Any) -> _SpecialForm: ... def __ror__(self, other: Any) -> _SpecialForm: ... if sys.version_info >= (3, 12): from collections.abc import Buffer as Buffer from types import get_original_bases as get_original_bases from typing import ( SupportsAbs as SupportsAbs, SupportsBytes as SupportsBytes, SupportsComplex as SupportsComplex, SupportsFloat as SupportsFloat, SupportsIndex as SupportsIndex, SupportsInt as SupportsInt, SupportsRound as SupportsRound, override as override, ) else: def override(arg: _F, /) -> _F: ... def get_original_bases(cls: type, /) -> tuple[Any, ...]: ... # mypy and pyright object to this being both ABC and Protocol. # At runtime it inherits from ABC and is not a Protocol, but it is on the # allowlist for use as a Protocol. @runtime_checkable class Buffer(Protocol, abc.ABC): # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] # Not actually a Protocol at runtime; see # https://github.com/python/typeshed/issues/10224 for why we're defining it this way def __buffer__(self, flags: int, /) -> memoryview: ... @runtime_checkable class SupportsInt(Protocol, metaclass=abc.ABCMeta): __slots__ = () @abc.abstractmethod def __int__(self) -> int: ... @runtime_checkable class SupportsFloat(Protocol, metaclass=abc.ABCMeta): __slots__ = () @abc.abstractmethod def __float__(self) -> float: ... @runtime_checkable class SupportsComplex(Protocol, metaclass=abc.ABCMeta): __slots__ = () @abc.abstractmethod def __complex__(self) -> complex: ... @runtime_checkable class SupportsBytes(Protocol, metaclass=abc.ABCMeta): __slots__ = () @abc.abstractmethod def __bytes__(self) -> bytes: ... @runtime_checkable class SupportsIndex(Protocol, metaclass=abc.ABCMeta): __slots__ = () @abc.abstractmethod def __index__(self) -> int: ... @runtime_checkable class SupportsAbs(Protocol[_T_co]): __slots__ = () @abc.abstractmethod def __abs__(self) -> _T_co: ... @runtime_checkable class SupportsRound(Protocol[_T_co]): __slots__ = () @overload @abc.abstractmethod def __round__(self) -> int: ... @overload @abc.abstractmethod def __round__(self, ndigits: int, /) -> _T_co: ... if sys.version_info >= (3, 14): from io import Reader as Reader, Writer as Writer else: @runtime_checkable class Reader(Protocol[_T_co]): __slots__ = () @abc.abstractmethod def read(self, size: int = ..., /) -> _T_co: ... @runtime_checkable class Writer(Protocol[_T_contra]): __slots__ = () @abc.abstractmethod def write(self, data: _T_contra, /) -> int: ... if sys.version_info >= (3, 13): from types import CapsuleType as CapsuleType from typing import ( NoDefault as NoDefault, ParamSpec as ParamSpec, ReadOnly as ReadOnly, TypeIs as TypeIs, TypeVar as TypeVar, TypeVarTuple as TypeVarTuple, get_protocol_members as get_protocol_members, is_protocol as is_protocol, ) from warnings import deprecated as deprecated else: def is_protocol(tp: type, /) -> bool: ... def get_protocol_members(tp: type, /) -> frozenset[str]: ... @final @type_check_only class _NoDefaultType: ... NoDefault: _NoDefaultType @final class CapsuleType: ... class deprecated: message: LiteralString category: type[Warning] | None stacklevel: int def __init__(self, message: LiteralString, /, *, category: type[Warning] | None = ..., stacklevel: int = 1) -> None: ... def __call__(self, arg: _T, /) -> _T: ... @final class TypeVar: @property def __name__(self) -> str: ... @property def __bound__(self) -> AnnotationForm | None: ... @property def __constraints__(self) -> tuple[AnnotationForm, ...]: ... @property def __covariant__(self) -> bool: ... @property def __contravariant__(self) -> bool: ... @property def __infer_variance__(self) -> bool: ... @property def __default__(self) -> AnnotationForm: ... def __init__( self, name: str, *constraints: AnnotationForm, bound: AnnotationForm | None = None, covariant: bool = False, contravariant: bool = False, default: AnnotationForm = ..., infer_variance: bool = False, ) -> None: ... def has_default(self) -> bool: ... def __typing_prepare_subst__(self, alias: Any, args: Any) -> tuple[Any, ...]: ... if sys.version_info >= (3, 10): def __or__(self, right: Any) -> _SpecialForm: ... def __ror__(self, left: Any) -> _SpecialForm: ... if sys.version_info >= (3, 11): def __typing_subst__(self, arg: Any) -> Any: ... @final class ParamSpec: @property def __name__(self) -> str: ... @property def __bound__(self) -> AnnotationForm | None: ... @property def __covariant__(self) -> bool: ... @property def __contravariant__(self) -> bool: ... @property def __infer_variance__(self) -> bool: ... @property def __default__(self) -> AnnotationForm: ... def __init__( self, name: str, *, bound: None | AnnotationForm | str = None, contravariant: bool = False, covariant: bool = False, default: AnnotationForm = ..., ) -> None: ... @property def args(self) -> ParamSpecArgs: ... @property def kwargs(self) -> ParamSpecKwargs: ... def has_default(self) -> bool: ... def __typing_prepare_subst__(self, alias: Any, args: Any) -> tuple[Any, ...]: ... if sys.version_info >= (3, 10): def __or__(self, right: Any) -> _SpecialForm: ... def __ror__(self, left: Any) -> _SpecialForm: ... @final class TypeVarTuple: @property def __name__(self) -> str: ... @property def __default__(self) -> AnnotationForm: ... def __init__(self, name: str, *, default: AnnotationForm = ...) -> None: ... def __iter__(self) -> Any: ... # Unpack[Self] def has_default(self) -> bool: ... def __typing_prepare_subst__(self, alias: Any, args: Any) -> tuple[Any, ...]: ... ReadOnly: _SpecialForm TypeIs: _SpecialForm # TypeAliasType was added in Python 3.12, but had significant changes in 3.14. if sys.version_info >= (3, 14): from typing import TypeAliasType as TypeAliasType else: @final class TypeAliasType: def __init__( self, name: str, value: AnnotationForm, *, type_params: tuple[TypeVar | ParamSpec | TypeVarTuple, ...] = () ) -> None: ... @property def __value__(self) -> AnnotationForm: ... @property def __type_params__(self) -> tuple[TypeVar | ParamSpec | TypeVarTuple, ...]: ... @property # `__parameters__` can include special forms if a `TypeVarTuple` was # passed as a `type_params` element to the constructor method. def __parameters__(self) -> tuple[TypeVar | ParamSpec | AnnotationForm, ...]: ... @property def __name__(self) -> str: ... # It's writable on types, but not on instances of TypeAliasType. @property def __module__(self) -> str | None: ... # type: ignore[override] # Returns typing._GenericAlias, which isn't stubbed. def __getitem__(self, parameters: Incomplete | tuple[Incomplete, ...]) -> AnnotationForm: ... def __init_subclass__(cls, *args: Unused, **kwargs: Unused) -> NoReturn: ... if sys.version_info >= (3, 10): def __or__(self, right: Any, /) -> _SpecialForm: ... def __ror__(self, left: Any, /) -> _SpecialForm: ... # PEP 727 class Doc: documentation: str def __init__(self, documentation: str, /) -> None: ... def __hash__(self) -> int: ... def __eq__(self, other: object) -> bool: ... # PEP 728 @type_check_only class _NoExtraItemsType: ... NoExtraItems: _NoExtraItemsType # PEP 747 TypeForm: _SpecialForm # PEP 649/749 if sys.version_info >= (3, 14): from typing import evaluate_forward_ref as evaluate_forward_ref from annotationlib import Format as Format, get_annotations as get_annotations, type_repr as type_repr else: class Format(enum.IntEnum): VALUE = 1 VALUE_WITH_FAKE_GLOBALS = 2 FORWARDREF = 3 STRING = 4 @overload def get_annotations( obj: Any, # any object with __annotations__ or __annotate__ *, globals: Mapping[str, Any] | None = None, # value types depend on the key locals: Mapping[str, Any] | None = None, # value types depend on the key eval_str: bool = False, format: Literal[Format.STRING], ) -> dict[str, str]: ... @overload def get_annotations( obj: Any, # any object with __annotations__ or __annotate__ *, globals: Mapping[str, Any] | None = None, # value types depend on the key locals: Mapping[str, Any] | None = None, # value types depend on the key eval_str: bool = False, format: Literal[Format.FORWARDREF], ) -> dict[str, AnnotationForm | ForwardRef]: ... @overload def get_annotations( obj: Any, # any object with __annotations__ or __annotate__ *, globals: Mapping[str, Any] | None = None, # value types depend on the key locals: Mapping[str, Any] | None = None, # value types depend on the key eval_str: bool = False, format: Format = Format.VALUE, # noqa: Y011 ) -> dict[str, AnnotationForm]: ... @overload def evaluate_forward_ref( forward_ref: ForwardRef, *, owner: Callable[..., object] | type[object] | ModuleType | None = None, # any callable, class, or module globals: Mapping[str, Any] | None = None, # value types depend on the key locals: Mapping[str, Any] | None = None, # value types depend on the key type_params: Iterable[TypeVar | ParamSpec | TypeVarTuple] | None = None, format: Literal[Format.STRING], _recursive_guard: Container[str] = ..., ) -> str: ... @overload def evaluate_forward_ref( forward_ref: ForwardRef, *, owner: Callable[..., object] | type[object] | ModuleType | None = None, # any callable, class, or module globals: Mapping[str, Any] | None = None, # value types depend on the key locals: Mapping[str, Any] | None = None, # value types depend on the key type_params: Iterable[TypeVar | ParamSpec | TypeVarTuple] | None = None, format: Literal[Format.FORWARDREF], _recursive_guard: Container[str] = ..., ) -> AnnotationForm | ForwardRef: ... @overload def evaluate_forward_ref( forward_ref: ForwardRef, *, owner: Callable[..., object] | type[object] | ModuleType | None = None, # any callable, class, or module globals: Mapping[str, Any] | None = None, # value types depend on the key locals: Mapping[str, Any] | None = None, # value types depend on the key type_params: Iterable[TypeVar | ParamSpec | TypeVarTuple] | None = None, format: Format | None = None, _recursive_guard: Container[str] = ..., ) -> AnnotationForm: ... def type_repr(value: object) -> str: ... # PEP 661 class Sentinel: def __init__(self, name: str, repr: str | None = None) -> None: ... if sys.version_info >= (3, 14): def __or__(self, other: Any) -> UnionType: ... # other can be any type form legal for unions def __ror__(self, other: Any) -> UnionType: ... # other can be any type form legal for unions elif sys.version_info >= (3, 10): def __or__(self, other: Any) -> _SpecialForm: ... # other can be any type form legal for unions def __ror__(self, other: Any) -> _SpecialForm: ... # other can be any type form legal for unions ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unicodedata.pyi0000644000175100017510000000503515112307767021371 0ustar00runnerrunnerimport sys from _typeshed import ReadOnlyBuffer from typing import Any, Final, Literal, TypeVar, final, overload from typing_extensions import TypeAlias ucd_3_2_0: UCD unidata_version: Final[str] if sys.version_info < (3, 10): ucnhash_CAPI: Any _T = TypeVar("_T") _NormalizationForm: TypeAlias = Literal["NFC", "NFD", "NFKC", "NFKD"] def bidirectional(chr: str, /) -> str: ... def category(chr: str, /) -> str: ... def combining(chr: str, /) -> int: ... @overload def decimal(chr: str, /) -> int: ... @overload def decimal(chr: str, default: _T, /) -> int | _T: ... def decomposition(chr: str, /) -> str: ... @overload def digit(chr: str, /) -> int: ... @overload def digit(chr: str, default: _T, /) -> int | _T: ... _EastAsianWidth: TypeAlias = Literal["F", "H", "W", "Na", "A", "N"] def east_asian_width(chr: str, /) -> _EastAsianWidth: ... def is_normalized(form: _NormalizationForm, unistr: str, /) -> bool: ... def lookup(name: str | ReadOnlyBuffer, /) -> str: ... def mirrored(chr: str, /) -> int: ... @overload def name(chr: str, /) -> str: ... @overload def name(chr: str, default: _T, /) -> str | _T: ... def normalize(form: _NormalizationForm, unistr: str, /) -> str: ... @overload def numeric(chr: str, /) -> float: ... @overload def numeric(chr: str, default: _T, /) -> float | _T: ... @final class UCD: # The methods below are constructed from the same array in C # (unicodedata_functions) and hence identical to the functions above. unidata_version: str def bidirectional(self, chr: str, /) -> str: ... def category(self, chr: str, /) -> str: ... def combining(self, chr: str, /) -> int: ... @overload def decimal(self, chr: str, /) -> int: ... @overload def decimal(self, chr: str, default: _T, /) -> int | _T: ... def decomposition(self, chr: str, /) -> str: ... @overload def digit(self, chr: str, /) -> int: ... @overload def digit(self, chr: str, default: _T, /) -> int | _T: ... def east_asian_width(self, chr: str, /) -> _EastAsianWidth: ... def is_normalized(self, form: _NormalizationForm, unistr: str, /) -> bool: ... def lookup(self, name: str | ReadOnlyBuffer, /) -> str: ... def mirrored(self, chr: str, /) -> int: ... @overload def name(self, chr: str, /) -> str: ... @overload def name(self, chr: str, default: _T, /) -> str | _T: ... def normalize(self, form: _NormalizationForm, unistr: str, /) -> str: ... @overload def numeric(self, chr: str, /) -> float: ... @overload def numeric(self, chr: str, default: _T, /) -> float | _T: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6137657 mypy-1.19.0/mypy/typeshed/stdlib/unittest/0000755000175100017510000000000015112310012020213 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/__init__.pyi0000644000175100017510000000347015112307767022530 0ustar00runnerrunnerimport sys from unittest.async_case import * from .case import ( FunctionTestCase as FunctionTestCase, SkipTest as SkipTest, TestCase as TestCase, addModuleCleanup as addModuleCleanup, expectedFailure as expectedFailure, skip as skip, skipIf as skipIf, skipUnless as skipUnless, ) from .loader import TestLoader as TestLoader, defaultTestLoader as defaultTestLoader from .main import TestProgram as TestProgram, main as main from .result import TestResult as TestResult from .runner import TextTestResult as TextTestResult, TextTestRunner as TextTestRunner from .signals import ( installHandler as installHandler, registerResult as registerResult, removeHandler as removeHandler, removeResult as removeResult, ) from .suite import BaseTestSuite as BaseTestSuite, TestSuite as TestSuite if sys.version_info >= (3, 11): from .case import doModuleCleanups as doModuleCleanups, enterModuleContext as enterModuleContext __all__ = [ "IsolatedAsyncioTestCase", "TestResult", "TestCase", "TestSuite", "TextTestRunner", "TestLoader", "FunctionTestCase", "main", "defaultTestLoader", "SkipTest", "skip", "skipIf", "skipUnless", "expectedFailure", "TextTestResult", "installHandler", "registerResult", "removeResult", "removeHandler", "addModuleCleanup", ] if sys.version_info < (3, 13): from .loader import findTestCases as findTestCases, getTestCaseNames as getTestCaseNames, makeSuite as makeSuite __all__ += ["getTestCaseNames", "makeSuite", "findTestCases"] if sys.version_info >= (3, 11): __all__ += ["enterModuleContext", "doModuleCleanups"] if sys.version_info < (3, 12): def load_tests(loader: TestLoader, tests: TestSuite, pattern: str | None) -> TestSuite: ... def __dir__() -> set[str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/_log.pyi0000644000175100017510000000162015112307767021704 0ustar00runnerrunnerimport logging import sys from types import TracebackType from typing import ClassVar, Generic, NamedTuple, TypeVar from unittest.case import TestCase, _BaseTestCaseContext _L = TypeVar("_L", None, _LoggingWatcher) class _LoggingWatcher(NamedTuple): records: list[logging.LogRecord] output: list[str] class _AssertLogsContext(_BaseTestCaseContext, Generic[_L]): LOGGING_FORMAT: ClassVar[str] logger_name: str level: int msg: None if sys.version_info >= (3, 10): def __init__(self, test_case: TestCase, logger_name: str, level: int, no_logs: bool) -> None: ... no_logs: bool else: def __init__(self, test_case: TestCase, logger_name: str, level: int) -> None: ... def __enter__(self) -> _L: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, tb: TracebackType | None ) -> bool | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/async_case.pyi0000644000175100017510000000152215112307767023075 0ustar00runnerrunnerimport sys from asyncio.events import AbstractEventLoop from collections.abc import Awaitable, Callable from typing import TypeVar from typing_extensions import ParamSpec from .case import TestCase if sys.version_info >= (3, 11): from contextlib import AbstractAsyncContextManager _T = TypeVar("_T") _P = ParamSpec("_P") class IsolatedAsyncioTestCase(TestCase): if sys.version_info >= (3, 13): loop_factory: Callable[[], AbstractEventLoop] | None = None async def asyncSetUp(self) -> None: ... async def asyncTearDown(self) -> None: ... def addAsyncCleanup(self, func: Callable[_P, Awaitable[object]], /, *args: _P.args, **kwargs: _P.kwargs) -> None: ... if sys.version_info >= (3, 11): async def enterAsyncContext(self, cm: AbstractAsyncContextManager[_T]) -> _T: ... def __del__(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/case.pyi0000644000175100017510000003420415112307767021703 0ustar00runnerrunnerimport logging import sys import unittest.result from _typeshed import SupportsDunderGE, SupportsDunderGT, SupportsDunderLE, SupportsDunderLT, SupportsRSub, SupportsSub from builtins import _ClassInfo from collections.abc import Callable, Container, Iterable, Mapping, Sequence, Set as AbstractSet from contextlib import AbstractContextManager from re import Pattern from types import GenericAlias, TracebackType from typing import Any, AnyStr, Final, Generic, NoReturn, Protocol, SupportsAbs, SupportsRound, TypeVar, overload, type_check_only from typing_extensions import Never, ParamSpec, Self from unittest._log import _AssertLogsContext, _LoggingWatcher from warnings import WarningMessage _T = TypeVar("_T") _S = TypeVar("_S", bound=SupportsSub[Any, Any]) _E = TypeVar("_E", bound=BaseException) _FT = TypeVar("_FT", bound=Callable[..., Any]) _SB = TypeVar("_SB", str, bytes, bytearray) _P = ParamSpec("_P") DIFF_OMITTED: Final[str] class _BaseTestCaseContext: test_case: TestCase def __init__(self, test_case: TestCase) -> None: ... class _AssertRaisesBaseContext(_BaseTestCaseContext): expected: type[BaseException] | tuple[type[BaseException], ...] expected_regex: Pattern[str] | None obj_name: str | None msg: str | None def __init__( self, expected: type[BaseException] | tuple[type[BaseException], ...], test_case: TestCase, expected_regex: str | Pattern[str] | None = None, ) -> None: ... # This returns Self if args is the empty list, and None otherwise. # but it's not possible to construct an overload which expresses that def handle(self, name: str, args: list[Any], kwargs: dict[str, Any]) -> Any: ... def addModuleCleanup(function: Callable[_P, object], /, *args: _P.args, **kwargs: _P.kwargs) -> None: ... def doModuleCleanups() -> None: ... if sys.version_info >= (3, 11): def enterModuleContext(cm: AbstractContextManager[_T]) -> _T: ... def expectedFailure(test_item: _FT) -> _FT: ... def skip(reason: str) -> Callable[[_FT], _FT]: ... def skipIf(condition: object, reason: str) -> Callable[[_FT], _FT]: ... def skipUnless(condition: object, reason: str) -> Callable[[_FT], _FT]: ... class SkipTest(Exception): def __init__(self, reason: str) -> None: ... @type_check_only class _SupportsAbsAndDunderGE(SupportsDunderGE[Any], SupportsAbs[Any], Protocol): ... class TestCase: failureException: type[BaseException] longMessage: bool maxDiff: int | None # undocumented _testMethodName: str # undocumented _testMethodDoc: str def __init__(self, methodName: str = "runTest") -> None: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... def setUp(self) -> None: ... def tearDown(self) -> None: ... @classmethod def setUpClass(cls) -> None: ... @classmethod def tearDownClass(cls) -> None: ... def run(self, result: unittest.result.TestResult | None = None) -> unittest.result.TestResult | None: ... def __call__(self, result: unittest.result.TestResult | None = ...) -> unittest.result.TestResult | None: ... def skipTest(self, reason: Any) -> NoReturn: ... def subTest(self, msg: Any = ..., **params: Any) -> AbstractContextManager[None]: ... def debug(self) -> None: ... if sys.version_info < (3, 11): def _addSkip(self, result: unittest.result.TestResult, test_case: TestCase, reason: str) -> None: ... def assertEqual(self, first: Any, second: Any, msg: Any = None) -> None: ... def assertNotEqual(self, first: Any, second: Any, msg: Any = None) -> None: ... def assertTrue(self, expr: Any, msg: Any = None) -> None: ... def assertFalse(self, expr: Any, msg: Any = None) -> None: ... def assertIs(self, expr1: object, expr2: object, msg: Any = None) -> None: ... def assertIsNot(self, expr1: object, expr2: object, msg: Any = None) -> None: ... def assertIsNone(self, obj: object, msg: Any = None) -> None: ... def assertIsNotNone(self, obj: object, msg: Any = None) -> None: ... def assertIn(self, member: Any, container: Iterable[Any] | Container[Any], msg: Any = None) -> None: ... def assertNotIn(self, member: Any, container: Iterable[Any] | Container[Any], msg: Any = None) -> None: ... def assertIsInstance(self, obj: object, cls: _ClassInfo, msg: Any = None) -> None: ... def assertNotIsInstance(self, obj: object, cls: _ClassInfo, msg: Any = None) -> None: ... @overload def assertGreater(self, a: SupportsDunderGT[_T], b: _T, msg: Any = None) -> None: ... @overload def assertGreater(self, a: _T, b: SupportsDunderLT[_T], msg: Any = None) -> None: ... @overload def assertGreaterEqual(self, a: SupportsDunderGE[_T], b: _T, msg: Any = None) -> None: ... @overload def assertGreaterEqual(self, a: _T, b: SupportsDunderLE[_T], msg: Any = None) -> None: ... @overload def assertLess(self, a: SupportsDunderLT[_T], b: _T, msg: Any = None) -> None: ... @overload def assertLess(self, a: _T, b: SupportsDunderGT[_T], msg: Any = None) -> None: ... @overload def assertLessEqual(self, a: SupportsDunderLE[_T], b: _T, msg: Any = None) -> None: ... @overload def assertLessEqual(self, a: _T, b: SupportsDunderGE[_T], msg: Any = None) -> None: ... # `assertRaises`, `assertRaisesRegex`, and `assertRaisesRegexp` # are not using `ParamSpec` intentionally, # because they might be used with explicitly wrong arg types to raise some error in tests. @overload def assertRaises( self, expected_exception: type[BaseException] | tuple[type[BaseException], ...], callable: Callable[..., object], *args: Any, **kwargs: Any, ) -> None: ... @overload def assertRaises( self, expected_exception: type[_E] | tuple[type[_E], ...], *, msg: Any = ... ) -> _AssertRaisesContext[_E]: ... @overload def assertRaisesRegex( self, expected_exception: type[BaseException] | tuple[type[BaseException], ...], expected_regex: str | Pattern[str], callable: Callable[..., object], *args: Any, **kwargs: Any, ) -> None: ... @overload def assertRaisesRegex( self, expected_exception: type[_E] | tuple[type[_E], ...], expected_regex: str | Pattern[str], *, msg: Any = ... ) -> _AssertRaisesContext[_E]: ... @overload def assertWarns( self, expected_warning: type[Warning] | tuple[type[Warning], ...], callable: Callable[_P, object], *args: _P.args, **kwargs: _P.kwargs, ) -> None: ... @overload def assertWarns( self, expected_warning: type[Warning] | tuple[type[Warning], ...], *, msg: Any = ... ) -> _AssertWarnsContext: ... @overload def assertWarnsRegex( self, expected_warning: type[Warning] | tuple[type[Warning], ...], expected_regex: str | Pattern[str], callable: Callable[_P, object], *args: _P.args, **kwargs: _P.kwargs, ) -> None: ... @overload def assertWarnsRegex( self, expected_warning: type[Warning] | tuple[type[Warning], ...], expected_regex: str | Pattern[str], *, msg: Any = ... ) -> _AssertWarnsContext: ... def assertLogs( self, logger: str | logging.Logger | None = None, level: int | str | None = None ) -> _AssertLogsContext[_LoggingWatcher]: ... if sys.version_info >= (3, 10): def assertNoLogs( self, logger: str | logging.Logger | None = None, level: int | str | None = None ) -> _AssertLogsContext[None]: ... @overload def assertAlmostEqual(self, first: _S, second: _S, places: None, msg: Any, delta: _SupportsAbsAndDunderGE) -> None: ... @overload def assertAlmostEqual( self, first: _S, second: _S, places: None = None, msg: Any = None, *, delta: _SupportsAbsAndDunderGE ) -> None: ... @overload def assertAlmostEqual( self, first: SupportsSub[_T, SupportsAbs[SupportsRound[object]]], second: _T, places: int | None = None, msg: Any = None, delta: None = None, ) -> None: ... @overload def assertAlmostEqual( self, first: _T, second: SupportsRSub[_T, SupportsAbs[SupportsRound[object]]], places: int | None = None, msg: Any = None, delta: None = None, ) -> None: ... @overload def assertNotAlmostEqual(self, first: _S, second: _S, places: None, msg: Any, delta: _SupportsAbsAndDunderGE) -> None: ... @overload def assertNotAlmostEqual( self, first: _S, second: _S, places: None = None, msg: Any = None, *, delta: _SupportsAbsAndDunderGE ) -> None: ... @overload def assertNotAlmostEqual( self, first: SupportsSub[_T, SupportsAbs[SupportsRound[object]]], second: _T, places: int | None = None, msg: Any = None, delta: None = None, ) -> None: ... @overload def assertNotAlmostEqual( self, first: _T, second: SupportsRSub[_T, SupportsAbs[SupportsRound[object]]], places: int | None = None, msg: Any = None, delta: None = None, ) -> None: ... def assertRegex(self, text: AnyStr, expected_regex: AnyStr | Pattern[AnyStr], msg: Any = None) -> None: ... def assertNotRegex(self, text: AnyStr, unexpected_regex: AnyStr | Pattern[AnyStr], msg: Any = None) -> None: ... def assertCountEqual(self, first: Iterable[Any], second: Iterable[Any], msg: Any = None) -> None: ... def addTypeEqualityFunc(self, typeobj: type[Any], function: Callable[..., None]) -> None: ... def assertMultiLineEqual(self, first: str, second: str, msg: Any = None) -> None: ... def assertSequenceEqual( self, seq1: Sequence[Any], seq2: Sequence[Any], msg: Any = None, seq_type: type[Sequence[Any]] | None = None ) -> None: ... def assertListEqual(self, list1: list[Any], list2: list[Any], msg: Any = None) -> None: ... def assertTupleEqual(self, tuple1: tuple[Any, ...], tuple2: tuple[Any, ...], msg: Any = None) -> None: ... def assertSetEqual(self, set1: AbstractSet[object], set2: AbstractSet[object], msg: Any = None) -> None: ... # assertDictEqual accepts only true dict instances. We can't use that here, since that would make # assertDictEqual incompatible with TypedDict. def assertDictEqual(self, d1: Mapping[Any, object], d2: Mapping[Any, object], msg: Any = None) -> None: ... def fail(self, msg: Any = None) -> NoReturn: ... def countTestCases(self) -> int: ... def defaultTestResult(self) -> unittest.result.TestResult: ... def id(self) -> str: ... def shortDescription(self) -> str | None: ... def addCleanup(self, function: Callable[_P, object], /, *args: _P.args, **kwargs: _P.kwargs) -> None: ... if sys.version_info >= (3, 11): def enterContext(self, cm: AbstractContextManager[_T]) -> _T: ... def doCleanups(self) -> None: ... @classmethod def addClassCleanup(cls, function: Callable[_P, object], /, *args: _P.args, **kwargs: _P.kwargs) -> None: ... @classmethod def doClassCleanups(cls) -> None: ... if sys.version_info >= (3, 11): @classmethod def enterClassContext(cls, cm: AbstractContextManager[_T]) -> _T: ... def _formatMessage(self, msg: str | None, standardMsg: str) -> str: ... # undocumented def _getAssertEqualityFunc(self, first: Any, second: Any) -> Callable[..., None]: ... # undocumented if sys.version_info < (3, 12): failUnlessEqual = assertEqual assertEquals = assertEqual failIfEqual = assertNotEqual assertNotEquals = assertNotEqual failUnless = assertTrue assert_ = assertTrue failIf = assertFalse failUnlessRaises = assertRaises failUnlessAlmostEqual = assertAlmostEqual assertAlmostEquals = assertAlmostEqual failIfAlmostEqual = assertNotAlmostEqual assertNotAlmostEquals = assertNotAlmostEqual assertRegexpMatches = assertRegex assertNotRegexpMatches = assertNotRegex assertRaisesRegexp = assertRaisesRegex def assertDictContainsSubset( self, subset: Mapping[Any, Any], dictionary: Mapping[Any, Any], msg: object = None ) -> None: ... if sys.version_info >= (3, 10): # Runtime has *args, **kwargs, but will error if any are supplied def __init_subclass__(cls, *args: Never, **kwargs: Never) -> None: ... if sys.version_info >= (3, 14): def assertIsSubclass(self, cls: type, superclass: type | tuple[type, ...], msg: Any = None) -> None: ... def assertNotIsSubclass(self, cls: type, superclass: type | tuple[type, ...], msg: Any = None) -> None: ... def assertHasAttr(self, obj: object, name: str, msg: Any = None) -> None: ... def assertNotHasAttr(self, obj: object, name: str, msg: Any = None) -> None: ... def assertStartsWith(self, s: _SB, prefix: _SB | tuple[_SB, ...], msg: Any = None) -> None: ... def assertNotStartsWith(self, s: _SB, prefix: _SB | tuple[_SB, ...], msg: Any = None) -> None: ... def assertEndsWith(self, s: _SB, suffix: _SB | tuple[_SB, ...], msg: Any = None) -> None: ... def assertNotEndsWith(self, s: _SB, suffix: _SB | tuple[_SB, ...], msg: Any = None) -> None: ... class FunctionTestCase(TestCase): def __init__( self, testFunc: Callable[[], object], setUp: Callable[[], object] | None = None, tearDown: Callable[[], object] | None = None, description: str | None = None, ) -> None: ... def runTest(self) -> None: ... def __hash__(self) -> int: ... def __eq__(self, other: object) -> bool: ... class _AssertRaisesContext(_AssertRaisesBaseContext, Generic[_E]): exception: _E def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, tb: TracebackType | None ) -> bool: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class _AssertWarnsContext(_AssertRaisesBaseContext): warning: WarningMessage filename: str lineno: int warnings: list[WarningMessage] def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, tb: TracebackType | None ) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/loader.pyi0000644000175100017510000000640415112307767022237 0ustar00runnerrunnerimport sys import unittest.case import unittest.suite from collections.abc import Callable, Sequence from re import Pattern from types import ModuleType from typing import Any, Final from typing_extensions import TypeAlias, deprecated _SortComparisonMethod: TypeAlias = Callable[[str, str], int] _SuiteClass: TypeAlias = Callable[[list[unittest.case.TestCase]], unittest.suite.TestSuite] VALID_MODULE_NAME: Final[Pattern[str]] class TestLoader: errors: list[type[BaseException]] testMethodPrefix: str sortTestMethodsUsing: _SortComparisonMethod testNamePatterns: list[str] | None suiteClass: _SuiteClass def loadTestsFromTestCase(self, testCaseClass: type[unittest.case.TestCase]) -> unittest.suite.TestSuite: ... if sys.version_info >= (3, 12): def loadTestsFromModule(self, module: ModuleType, *, pattern: str | None = None) -> unittest.suite.TestSuite: ... else: def loadTestsFromModule(self, module: ModuleType, *args: Any, pattern: str | None = None) -> unittest.suite.TestSuite: ... def loadTestsFromName(self, name: str, module: ModuleType | None = None) -> unittest.suite.TestSuite: ... def loadTestsFromNames(self, names: Sequence[str], module: ModuleType | None = None) -> unittest.suite.TestSuite: ... def getTestCaseNames(self, testCaseClass: type[unittest.case.TestCase]) -> Sequence[str]: ... def discover( self, start_dir: str, pattern: str = "test*.py", top_level_dir: str | None = None ) -> unittest.suite.TestSuite: ... def _match_path(self, path: str, full_path: str, pattern: str) -> bool: ... defaultTestLoader: TestLoader if sys.version_info < (3, 13): if sys.version_info >= (3, 11): @deprecated("Deprecated since Python 3.11; removed in Python 3.13.") def getTestCaseNames( testCaseClass: type[unittest.case.TestCase], prefix: str, sortUsing: _SortComparisonMethod = ..., testNamePatterns: list[str] | None = None, ) -> Sequence[str]: ... @deprecated("Deprecated since Python 3.11; removed in Python 3.13.") def makeSuite( testCaseClass: type[unittest.case.TestCase], prefix: str = "test", sortUsing: _SortComparisonMethod = ..., suiteClass: _SuiteClass = ..., ) -> unittest.suite.TestSuite: ... @deprecated("Deprecated since Python 3.11; removed in Python 3.13.") def findTestCases( module: ModuleType, prefix: str = "test", sortUsing: _SortComparisonMethod = ..., suiteClass: _SuiteClass = ... ) -> unittest.suite.TestSuite: ... else: def getTestCaseNames( testCaseClass: type[unittest.case.TestCase], prefix: str, sortUsing: _SortComparisonMethod = ..., testNamePatterns: list[str] | None = None, ) -> Sequence[str]: ... def makeSuite( testCaseClass: type[unittest.case.TestCase], prefix: str = "test", sortUsing: _SortComparisonMethod = ..., suiteClass: _SuiteClass = ..., ) -> unittest.suite.TestSuite: ... def findTestCases( module: ModuleType, prefix: str = "test", sortUsing: _SortComparisonMethod = ..., suiteClass: _SuiteClass = ... ) -> unittest.suite.TestSuite: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/main.pyi0000644000175100017510000000531715112307767021717 0ustar00runnerrunnerimport sys import unittest.case import unittest.loader import unittest.result import unittest.suite from collections.abc import Iterable from types import ModuleType from typing import Any, Final, Protocol, type_check_only from typing_extensions import deprecated MAIN_EXAMPLES: Final[str] MODULE_EXAMPLES: Final[str] @type_check_only class _TestRunner(Protocol): def run(self, test: unittest.suite.TestSuite | unittest.case.TestCase, /) -> unittest.result.TestResult: ... # not really documented class TestProgram: result: unittest.result.TestResult module: None | str | ModuleType verbosity: int failfast: bool | None catchbreak: bool | None buffer: bool | None progName: str | None warnings: str | None testNamePatterns: list[str] | None if sys.version_info >= (3, 12): durations: unittest.result._DurationsType | None def __init__( self, module: None | str | ModuleType = "__main__", defaultTest: str | Iterable[str] | None = None, argv: list[str] | None = None, testRunner: type[_TestRunner] | _TestRunner | None = None, testLoader: unittest.loader.TestLoader = ..., exit: bool = True, verbosity: int = 1, failfast: bool | None = None, catchbreak: bool | None = None, buffer: bool | None = None, warnings: str | None = None, *, tb_locals: bool = False, durations: unittest.result._DurationsType | None = None, ) -> None: ... else: def __init__( self, module: None | str | ModuleType = "__main__", defaultTest: str | Iterable[str] | None = None, argv: list[str] | None = None, testRunner: type[_TestRunner] | _TestRunner | None = None, testLoader: unittest.loader.TestLoader = ..., exit: bool = True, verbosity: int = 1, failfast: bool | None = None, catchbreak: bool | None = None, buffer: bool | None = None, warnings: str | None = None, *, tb_locals: bool = False, ) -> None: ... if sys.version_info < (3, 13): if sys.version_info >= (3, 11): @deprecated("Deprecated since Python 3.11; removed in Python 3.13.") def usageExit(self, msg: Any = None) -> None: ... else: def usageExit(self, msg: Any = None) -> None: ... def parseArgs(self, argv: list[str]) -> None: ... def createTests(self, from_discovery: bool = False, Loader: unittest.loader.TestLoader | None = None) -> None: ... def runTests(self) -> None: ... # undocumented main = TestProgram ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/mock.pyi0000644000175100017510000004751315112307767021730 0ustar00runnerrunnerimport sys from _typeshed import MaybeNone from collections.abc import Awaitable, Callable, Coroutine, Iterable, Mapping, Sequence from contextlib import _GeneratorContextManager from types import TracebackType from typing import Any, ClassVar, Final, Generic, Literal, TypeVar, overload, type_check_only from typing_extensions import ParamSpec, Self, TypeAlias, disjoint_base _T = TypeVar("_T") _TT = TypeVar("_TT", bound=type[Any]) _R = TypeVar("_R") _F = TypeVar("_F", bound=Callable[..., Any]) _AF = TypeVar("_AF", bound=Callable[..., Coroutine[Any, Any, Any]]) _P = ParamSpec("_P") if sys.version_info >= (3, 13): # ThreadingMock added in 3.13 __all__ = ( "Mock", "MagicMock", "patch", "sentinel", "DEFAULT", "ANY", "call", "create_autospec", "ThreadingMock", "AsyncMock", "FILTER_DIR", "NonCallableMock", "NonCallableMagicMock", "mock_open", "PropertyMock", "seal", ) else: __all__ = ( "Mock", "MagicMock", "patch", "sentinel", "DEFAULT", "ANY", "call", "create_autospec", "AsyncMock", "FILTER_DIR", "NonCallableMock", "NonCallableMagicMock", "mock_open", "PropertyMock", "seal", ) FILTER_DIR: bool # controls the way mock objects respond to `dir` function class _SentinelObject: name: Any def __init__(self, name: Any) -> None: ... class _Sentinel: def __getattr__(self, name: str) -> Any: ... sentinel: _Sentinel DEFAULT: Any _ArgsKwargs: TypeAlias = tuple[tuple[Any, ...], Mapping[str, Any]] _NameArgsKwargs: TypeAlias = tuple[str, tuple[Any, ...], Mapping[str, Any]] _CallValue: TypeAlias = str | tuple[Any, ...] | Mapping[str, Any] | _ArgsKwargs | _NameArgsKwargs if sys.version_info >= (3, 12): class _Call(tuple[Any, ...]): def __new__( cls, value: _CallValue = (), name: str | None = "", parent: _Call | None = None, two: bool = False, from_kall: bool = True, ) -> Self: ... def __init__( self, value: _CallValue = (), name: str | None = None, parent: _Call | None = None, two: bool = False, from_kall: bool = True, ) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __eq__(self, other: object) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __call__(self, *args: Any, **kwargs: Any) -> _Call: ... def __getattr__(self, attr: str) -> Any: ... def __getattribute__(self, attr: str) -> Any: ... @property def args(self) -> tuple[Any, ...]: ... @property def kwargs(self) -> Mapping[str, Any]: ... def call_list(self) -> Any: ... else: @disjoint_base class _Call(tuple[Any, ...]): def __new__( cls, value: _CallValue = (), name: str | None = "", parent: _Call | None = None, two: bool = False, from_kall: bool = True, ) -> Self: ... def __init__( self, value: _CallValue = (), name: str | None = None, parent: _Call | None = None, two: bool = False, from_kall: bool = True, ) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __eq__(self, other: object) -> bool: ... def __ne__(self, value: object, /) -> bool: ... def __call__(self, *args: Any, **kwargs: Any) -> _Call: ... def __getattr__(self, attr: str) -> Any: ... def __getattribute__(self, attr: str) -> Any: ... @property def args(self) -> tuple[Any, ...]: ... @property def kwargs(self) -> Mapping[str, Any]: ... def call_list(self) -> Any: ... call: _Call class _CallList(list[_Call]): def __contains__(self, value: Any) -> bool: ... class Base: def __init__(self, *args: Any, **kwargs: Any) -> None: ... # We subclass with "Any" because mocks are explicitly designed to stand in for other types, # something that can't be expressed with our static type system. class NonCallableMock(Base, Any): if sys.version_info >= (3, 12): def __new__( cls, spec: list[str] | object | type[object] | None = None, wraps: Any | None = None, name: str | None = None, spec_set: list[str] | object | type[object] | None = None, parent: NonCallableMock | None = None, _spec_state: Any | None = None, _new_name: str = "", _new_parent: NonCallableMock | None = None, _spec_as_instance: bool = False, _eat_self: bool | None = None, unsafe: bool = False, **kwargs: Any, ) -> Self: ... else: def __new__(cls, /, *args: Any, **kw: Any) -> Self: ... def __init__( self, spec: list[str] | object | type[object] | None = None, wraps: Any | None = None, name: str | None = None, spec_set: list[str] | object | type[object] | None = None, parent: NonCallableMock | None = None, _spec_state: Any | None = None, _new_name: str = "", _new_parent: NonCallableMock | None = None, _spec_as_instance: bool = False, _eat_self: bool | None = None, unsafe: bool = False, **kwargs: Any, ) -> None: ... def __getattr__(self, name: str) -> Any: ... def __delattr__(self, name: str) -> None: ... def __setattr__(self, name: str, value: Any) -> None: ... def __dir__(self) -> list[str]: ... def assert_called_with(self, *args: Any, **kwargs: Any) -> None: ... def assert_not_called(self) -> None: ... def assert_called_once_with(self, *args: Any, **kwargs: Any) -> None: ... def _format_mock_failure_message(self, args: Any, kwargs: Any, action: str = "call") -> str: ... def assert_called(self) -> None: ... def assert_called_once(self) -> None: ... def reset_mock(self, visited: Any = None, *, return_value: bool = False, side_effect: bool = False) -> None: ... def _extract_mock_name(self) -> str: ... def _get_call_signature_from_name(self, name: str) -> Any: ... def assert_any_call(self, *args: Any, **kwargs: Any) -> None: ... def assert_has_calls(self, calls: Sequence[_Call], any_order: bool = False) -> None: ... def mock_add_spec(self, spec: Any, spec_set: bool = False) -> None: ... def _mock_add_spec(self, spec: Any, spec_set: bool, _spec_as_instance: bool = False, _eat_self: bool = False) -> None: ... def attach_mock(self, mock: NonCallableMock, attribute: str) -> None: ... def configure_mock(self, **kwargs: Any) -> None: ... return_value: Any side_effect: Any called: bool call_count: int call_args: _Call | MaybeNone call_args_list: _CallList mock_calls: _CallList def _format_mock_call_signature(self, args: Any, kwargs: Any) -> str: ... def _call_matcher(self, _call: tuple[_Call, ...]) -> _Call: ... def _get_child_mock(self, **kw: Any) -> NonCallableMock: ... if sys.version_info >= (3, 13): def _calls_repr(self) -> str: ... else: def _calls_repr(self, prefix: str = "Calls") -> str: ... class CallableMixin(Base): side_effect: Any def __init__( self, spec: Any | None = None, side_effect: Any | None = None, return_value: Any = ..., wraps: Any | None = None, name: Any | None = None, spec_set: Any | None = None, parent: Any | None = None, _spec_state: Any | None = None, _new_name: Any = "", _new_parent: Any | None = None, **kwargs: Any, ) -> None: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... class Mock(CallableMixin, NonCallableMock): ... class _patch(Generic[_T]): attribute_name: Any getter: Callable[[], Any] attribute: str new: _T new_callable: Any spec: Any create: bool has_local: Any spec_set: Any autospec: Any kwargs: Mapping[str, Any] additional_patchers: Any # If new==DEFAULT, self is _patch[Any]. Ideally we'd be able to add an overload for it so that self is _patch[MagicMock], # but that's impossible with the current type system. if sys.version_info >= (3, 10): def __init__( self: _patch[_T], # pyright: ignore[reportInvalidTypeVarUse] #11780 getter: Callable[[], Any], attribute: str, new: _T, spec: Any | None, create: bool, spec_set: Any | None, autospec: Any | None, new_callable: Any | None, kwargs: Mapping[str, Any], *, unsafe: bool = False, ) -> None: ... else: def __init__( self: _patch[_T], # pyright: ignore[reportInvalidTypeVarUse] #11780 getter: Callable[[], Any], attribute: str, new: _T, spec: Any | None, create: bool, spec_set: Any | None, autospec: Any | None, new_callable: Any | None, kwargs: Mapping[str, Any], ) -> None: ... def copy(self) -> _patch[_T]: ... @overload def __call__(self, func: _TT) -> _TT: ... # If new==DEFAULT, this should add a MagicMock parameter to the function # arguments. See the _patch_default_new class below for this functionality. @overload def __call__(self, func: Callable[_P, _R]) -> Callable[_P, _R]: ... def decoration_helper( self, patched: _patch[Any], args: Sequence[Any], keywargs: Any ) -> _GeneratorContextManager[tuple[Sequence[Any], Any]]: ... def decorate_class(self, klass: _TT) -> _TT: ... def decorate_callable(self, func: Callable[..., _R]) -> Callable[..., _R]: ... def decorate_async_callable(self, func: Callable[..., Awaitable[_R]]) -> Callable[..., Awaitable[_R]]: ... def get_original(self) -> tuple[Any, bool]: ... target: Any temp_original: Any is_local: bool def __enter__(self) -> _T: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None, / ) -> None: ... def start(self) -> _T: ... def stop(self) -> None: ... # This class does not exist at runtime, it's a hack to make this work: # @patch("foo") # def bar(..., mock: MagicMock) -> None: ... @type_check_only class _patch_pass_arg(_patch[_T]): @overload def __call__(self, func: _TT) -> _TT: ... # Can't use the following as ParamSpec is only allowed as last parameter: # def __call__(self, func: Callable[_P, _R]) -> Callable[Concatenate[_P, MagicMock], _R]: ... @overload def __call__(self, func: Callable[..., _R]) -> Callable[..., _R]: ... class _patch_dict: in_dict: Any values: Any clear: Any def __init__(self, in_dict: Any, values: Any = (), clear: Any = False, **kwargs: Any) -> None: ... def __call__(self, f: Any) -> Any: ... if sys.version_info >= (3, 10): def decorate_callable(self, f: _F) -> _F: ... def decorate_async_callable(self, f: _AF) -> _AF: ... def decorate_class(self, klass: Any) -> Any: ... def __enter__(self) -> Any: ... def __exit__(self, *args: object) -> Any: ... start: Any stop: Any # This class does not exist at runtime, it's a hack to add methods to the # patch() function. @type_check_only class _patcher: TEST_PREFIX: str dict: type[_patch_dict] # This overload also covers the case, where new==DEFAULT. In this case, the return type is _patch[Any]. # Ideally we'd be able to add an overload for it so that the return type is _patch[MagicMock], # but that's impossible with the current type system. @overload def __call__( # type: ignore[overload-overlap] self, target: str, new: _T, spec: Literal[False] | None = None, create: bool = False, spec_set: Literal[False] | None = None, autospec: Literal[False] | None = None, new_callable: None = None, *, unsafe: bool = False, ) -> _patch[_T]: ... @overload def __call__( self, target: str, *, # If not False or None, this is passed to new_callable spec: Any | Literal[False] | None = None, create: bool = False, # If not False or None, this is passed to new_callable spec_set: Any | Literal[False] | None = None, autospec: Literal[False] | None = None, new_callable: Callable[..., _T], unsafe: bool = False, # kwargs are passed to new_callable **kwargs: Any, ) -> _patch_pass_arg[_T]: ... @overload def __call__( self, target: str, *, spec: Any | bool | None = None, create: bool = False, spec_set: Any | bool | None = None, autospec: Any | bool | None = None, new_callable: None = None, unsafe: bool = False, # kwargs are passed to the MagicMock/AsyncMock constructor **kwargs: Any, ) -> _patch_pass_arg[MagicMock | AsyncMock]: ... # This overload also covers the case, where new==DEFAULT. In this case, the return type is _patch[Any]. # Ideally we'd be able to add an overload for it so that the return type is _patch[MagicMock], # but that's impossible with the current type system. @overload @staticmethod def object( target: Any, attribute: str, new: _T, spec: Literal[False] | None = None, create: bool = False, spec_set: Literal[False] | None = None, autospec: Literal[False] | None = None, new_callable: None = None, *, unsafe: bool = False, ) -> _patch[_T]: ... @overload @staticmethod def object( target: Any, attribute: str, *, # If not False or None, this is passed to new_callable spec: Any | Literal[False] | None = None, create: bool = False, # If not False or None, this is passed to new_callable spec_set: Any | Literal[False] | None = None, autospec: Literal[False] | None = None, new_callable: Callable[..., _T], unsafe: bool = False, # kwargs are passed to new_callable **kwargs: Any, ) -> _patch_pass_arg[_T]: ... @overload @staticmethod def object( target: Any, attribute: str, *, spec: Any | bool | None = None, create: bool = False, spec_set: Any | bool | None = None, autospec: Any | bool | None = None, new_callable: None = None, unsafe: bool = False, # kwargs are passed to the MagicMock/AsyncMock constructor **kwargs: Any, ) -> _patch_pass_arg[MagicMock | AsyncMock]: ... @overload @staticmethod def multiple( target: Any | str, # If not False or None, this is passed to new_callable spec: Any | Literal[False] | None = None, create: bool = False, # If not False or None, this is passed to new_callable spec_set: Any | Literal[False] | None = None, autospec: Literal[False] | None = None, *, new_callable: Callable[..., _T], # The kwargs must be DEFAULT **kwargs: Any, ) -> _patch_pass_arg[_T]: ... @overload @staticmethod def multiple( target: Any | str, # If not False or None, this is passed to new_callable spec: Any | Literal[False] | None, create: bool, # If not False or None, this is passed to new_callable spec_set: Any | Literal[False] | None, autospec: Literal[False] | None, new_callable: Callable[..., _T], # The kwargs must be DEFAULT **kwargs: Any, ) -> _patch_pass_arg[_T]: ... @overload @staticmethod def multiple( target: Any | str, spec: Any | bool | None = None, create: bool = False, spec_set: Any | bool | None = None, autospec: Any | bool | None = None, new_callable: None = None, # The kwargs are the mock objects or DEFAULT **kwargs: Any, ) -> _patch[Any]: ... @staticmethod def stopall() -> None: ... patch: _patcher class MagicMixin(Base): def __init__(self, *args: Any, **kw: Any) -> None: ... class NonCallableMagicMock(MagicMixin, NonCallableMock): ... class MagicMock(MagicMixin, Mock): ... class AsyncMockMixin(Base): def __init__(self, *args: Any, **kwargs: Any) -> None: ... async def _execute_mock_call(self, *args: Any, **kwargs: Any) -> Any: ... def assert_awaited(self) -> None: ... def assert_awaited_once(self) -> None: ... def assert_awaited_with(self, *args: Any, **kwargs: Any) -> None: ... def assert_awaited_once_with(self, *args: Any, **kwargs: Any) -> None: ... def assert_any_await(self, *args: Any, **kwargs: Any) -> None: ... def assert_has_awaits(self, calls: Iterable[_Call], any_order: bool = False) -> None: ... def assert_not_awaited(self) -> None: ... def reset_mock(self, *args: Any, **kwargs: Any) -> None: ... await_count: int await_args: _Call | None await_args_list: _CallList class AsyncMagicMixin(MagicMixin): def __init__(self, *args: Any, **kw: Any) -> None: ... class AsyncMock(AsyncMockMixin, AsyncMagicMixin, Mock): # Improving the `reset_mock` signature. # It is defined on `AsyncMockMixin` with `*args, **kwargs`, which is not ideal. # But, `NonCallableMock` super-class has the better version. def reset_mock(self, visited: Any = None, *, return_value: bool = False, side_effect: bool = False) -> None: ... class MagicProxy(Base): name: str parent: Any def __init__(self, name: str, parent: Any) -> None: ... def create_mock(self) -> Any: ... def __get__(self, obj: Any, _type: Any | None = None) -> Any: ... # See https://github.com/python/typeshed/issues/14701 class _ANY(Any): def __eq__(self, other: object) -> Literal[True]: ... def __ne__(self, other: object) -> Literal[False]: ... __hash__: ClassVar[None] # type: ignore[assignment] ANY: _ANY if sys.version_info >= (3, 10): def create_autospec( spec: Any, spec_set: Any = False, instance: Any = False, _parent: Any | None = None, _name: Any | None = None, *, unsafe: bool = False, **kwargs: Any, ) -> Any: ... else: def create_autospec( spec: Any, spec_set: Any = False, instance: Any = False, _parent: Any | None = None, _name: Any | None = None, **kwargs: Any, ) -> Any: ... class _SpecState: spec: Any ids: Any spec_set: Any parent: Any instance: Any name: Any def __init__( self, spec: Any, spec_set: Any = False, parent: Any | None = None, name: Any | None = None, ids: Any | None = None, instance: Any = False, ) -> None: ... def mock_open(mock: Any | None = None, read_data: Any = "") -> Any: ... class PropertyMock(Mock): def __get__(self, obj: _T, obj_type: type[_T] | None = None) -> Self: ... def __set__(self, obj: Any, val: Any) -> None: ... if sys.version_info >= (3, 13): class ThreadingMixin(Base): DEFAULT_TIMEOUT: Final[float | None] = None def __init__(self, /, *args: Any, timeout: float | None | _SentinelObject = ..., **kwargs: Any) -> None: ... # Same as `NonCallableMock.reset_mock.` def reset_mock(self, visited: Any = None, *, return_value: bool = False, side_effect: bool = False) -> None: ... def wait_until_called(self, *, timeout: float | None | _SentinelObject = ...) -> None: ... def wait_until_any_call_with(self, *args: Any, **kwargs: Any) -> None: ... class ThreadingMock(ThreadingMixin, MagicMixin, Mock): ... def seal(mock: Any) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/result.pyi0000644000175100017510000000400215112307767022277 0ustar00runnerrunnerimport sys import unittest.case from _typeshed import OptExcInfo from collections.abc import Callable from typing import Any, Final, TextIO, TypeVar from typing_extensions import TypeAlias _F = TypeVar("_F", bound=Callable[..., Any]) _DurationsType: TypeAlias = list[tuple[str, float]] STDOUT_LINE: Final[str] STDERR_LINE: Final[str] # undocumented def failfast(method: _F) -> _F: ... class TestResult: errors: list[tuple[unittest.case.TestCase, str]] failures: list[tuple[unittest.case.TestCase, str]] skipped: list[tuple[unittest.case.TestCase, str]] expectedFailures: list[tuple[unittest.case.TestCase, str]] unexpectedSuccesses: list[unittest.case.TestCase] shouldStop: bool testsRun: int buffer: bool failfast: bool tb_locals: bool if sys.version_info >= (3, 12): collectedDurations: _DurationsType def __init__(self, stream: TextIO | None = None, descriptions: bool | None = None, verbosity: int | None = None) -> None: ... def printErrors(self) -> None: ... def wasSuccessful(self) -> bool: ... def stop(self) -> None: ... def startTest(self, test: unittest.case.TestCase) -> None: ... def stopTest(self, test: unittest.case.TestCase) -> None: ... def startTestRun(self) -> None: ... def stopTestRun(self) -> None: ... def addError(self, test: unittest.case.TestCase, err: OptExcInfo) -> None: ... def addFailure(self, test: unittest.case.TestCase, err: OptExcInfo) -> None: ... def addSuccess(self, test: unittest.case.TestCase) -> None: ... def addSkip(self, test: unittest.case.TestCase, reason: str) -> None: ... def addExpectedFailure(self, test: unittest.case.TestCase, err: OptExcInfo) -> None: ... def addUnexpectedSuccess(self, test: unittest.case.TestCase) -> None: ... def addSubTest(self, test: unittest.case.TestCase, subtest: unittest.case.TestCase, err: OptExcInfo | None) -> None: ... if sys.version_info >= (3, 12): def addDuration(self, test: unittest.case.TestCase, elapsed: float) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/runner.pyi0000644000175100017510000000665615112307767022313 0ustar00runnerrunnerimport sys import unittest.case import unittest.result import unittest.suite from _typeshed import SupportsFlush, SupportsWrite from collections.abc import Callable, Iterable from typing import Any, Generic, Protocol, TypeVar, type_check_only from typing_extensions import Never, TypeAlias from warnings import _ActionKind _ResultClassType: TypeAlias = Callable[[_TextTestStream, bool, int], TextTestResult[Any]] @type_check_only class _SupportsWriteAndFlush(SupportsWrite[str], SupportsFlush, Protocol): ... # All methods used by unittest.runner.TextTestResult's stream @type_check_only class _TextTestStream(_SupportsWriteAndFlush, Protocol): def writeln(self, arg: str | None = None, /) -> None: ... # _WritelnDecorator should have all the same attrs as its stream param. # But that's not feasible to do Generically # We can expand the attributes if requested class _WritelnDecorator: def __init__(self, stream: _SupportsWriteAndFlush) -> None: ... def writeln(self, arg: str | None = None) -> None: ... def __getattr__(self, attr: str) -> Any: ... # Any attribute from the stream type passed to __init__ # These attributes are prevented by __getattr__ stream: Never __getstate__: Never # Methods proxied from the wrapped stream object via __getattr__ def flush(self) -> object: ... def write(self, s: str, /) -> object: ... _StreamT = TypeVar("_StreamT", bound=_TextTestStream, default=_WritelnDecorator) class TextTestResult(unittest.result.TestResult, Generic[_StreamT]): descriptions: bool # undocumented dots: bool # undocumented separator1: str separator2: str showAll: bool # undocumented stream: _StreamT # undocumented if sys.version_info >= (3, 12): durations: int | None def __init__(self, stream: _StreamT, descriptions: bool, verbosity: int, *, durations: int | None = None) -> None: ... else: def __init__(self, stream: _StreamT, descriptions: bool, verbosity: int) -> None: ... def getDescription(self, test: unittest.case.TestCase) -> str: ... def printErrorList(self, flavour: str, errors: Iterable[tuple[unittest.case.TestCase, str]]) -> None: ... class TextTestRunner: resultclass: _ResultClassType stream: _WritelnDecorator descriptions: bool verbosity: int failfast: bool buffer: bool warnings: _ActionKind | None tb_locals: bool if sys.version_info >= (3, 12): durations: int | None def __init__( self, stream: _SupportsWriteAndFlush | None = None, descriptions: bool = True, verbosity: int = 1, failfast: bool = False, buffer: bool = False, resultclass: _ResultClassType | None = None, warnings: _ActionKind | None = None, *, tb_locals: bool = False, durations: int | None = None, ) -> None: ... else: def __init__( self, stream: _SupportsWriteAndFlush | None = None, descriptions: bool = True, verbosity: int = 1, failfast: bool = False, buffer: bool = False, resultclass: _ResultClassType | None = None, warnings: str | None = None, *, tb_locals: bool = False, ) -> None: ... def _makeResult(self) -> TextTestResult: ... def run(self, test: unittest.suite.TestSuite | unittest.case.TestCase) -> TextTestResult: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/signals.pyi0000644000175100017510000000075015112307767022427 0ustar00runnerrunnerimport unittest.result from collections.abc import Callable from typing import TypeVar, overload from typing_extensions import ParamSpec _P = ParamSpec("_P") _T = TypeVar("_T") def installHandler() -> None: ... def registerResult(result: unittest.result.TestResult) -> None: ... def removeResult(result: unittest.result.TestResult) -> bool: ... @overload def removeHandler(method: None = None) -> None: ... @overload def removeHandler(method: Callable[_P, _T]) -> Callable[_P, _T]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/suite.pyi0000644000175100017510000000202715112307767022117 0ustar00runnerrunnerimport unittest.case import unittest.result from collections.abc import Iterable, Iterator from typing import ClassVar from typing_extensions import TypeAlias _TestType: TypeAlias = unittest.case.TestCase | TestSuite class BaseTestSuite: _tests: list[unittest.case.TestCase] _removed_tests: int def __init__(self, tests: Iterable[_TestType] = ()) -> None: ... def __call__(self, result: unittest.result.TestResult) -> unittest.result.TestResult: ... def addTest(self, test: _TestType) -> None: ... def addTests(self, tests: Iterable[_TestType]) -> None: ... def run(self, result: unittest.result.TestResult) -> unittest.result.TestResult: ... def debug(self) -> None: ... def countTestCases(self) -> int: ... def __iter__(self) -> Iterator[_TestType]: ... def __eq__(self, other: object) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] class TestSuite(BaseTestSuite): def run(self, result: unittest.result.TestResult, debug: bool = False) -> unittest.result.TestResult: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/unittest/util.pyi0000644000175100017510000000317015112307767021743 0ustar00runnerrunnerfrom collections.abc import MutableSequence, Sequence from typing import Any, Final, Literal, Protocol, TypeVar, type_check_only from typing_extensions import TypeAlias @type_check_only class _SupportsDunderLT(Protocol): def __lt__(self, other: Any, /) -> bool: ... @type_check_only class _SupportsDunderGT(Protocol): def __gt__(self, other: Any, /) -> bool: ... @type_check_only class _SupportsDunderLE(Protocol): def __le__(self, other: Any, /) -> bool: ... @type_check_only class _SupportsDunderGE(Protocol): def __ge__(self, other: Any, /) -> bool: ... _T = TypeVar("_T") _Mismatch: TypeAlias = tuple[_T, _T, int] _SupportsComparison: TypeAlias = _SupportsDunderLE | _SupportsDunderGE | _SupportsDunderGT | _SupportsDunderLT _MAX_LENGTH: Final = 80 _PLACEHOLDER_LEN: Final = 12 _MIN_BEGIN_LEN: Final = 5 _MIN_END_LEN: Final = 5 _MIN_COMMON_LEN: Final = 5 _MIN_DIFF_LEN: Final = 41 def _shorten(s: str, prefixlen: int, suffixlen: int) -> str: ... def _common_shorten_repr(*args: str) -> tuple[str, ...]: ... def safe_repr(obj: object, short: bool = False) -> str: ... def strclass(cls: type) -> str: ... def sorted_list_difference(expected: Sequence[_T], actual: Sequence[_T]) -> tuple[list[_T], list[_T]]: ... def unorderable_list_difference(expected: MutableSequence[_T], actual: MutableSequence[_T]) -> tuple[list[_T], list[_T]]: ... def three_way_cmp(x: _SupportsComparison, y: _SupportsComparison) -> Literal[-1, 0, 1]: ... def _count_diff_all_purpose(actual: Sequence[_T], expected: Sequence[_T]) -> list[_Mismatch[_T]]: ... def _count_diff_hashable(actual: Sequence[_T], expected: Sequence[_T]) -> list[_Mismatch[_T]]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6147656 mypy-1.19.0/mypy/typeshed/stdlib/urllib/0000755000175100017510000000000015112310012017625 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/urllib/__init__.pyi0000644000175100017510000000000015112307767022124 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/urllib/error.pyi0000644000175100017510000000172215112307767021532 0ustar00runnerrunnerfrom email.message import Message from typing import IO from urllib.response import addinfourl __all__ = ["URLError", "HTTPError", "ContentTooShortError"] class URLError(OSError): reason: str | BaseException # The `filename` attribute only exists if it was provided to `__init__` and wasn't `None`. filename: str def __init__(self, reason: str | BaseException, filename: str | None = None) -> None: ... class HTTPError(URLError, addinfourl): @property def headers(self) -> Message: ... @headers.setter def headers(self, headers: Message) -> None: ... @property def reason(self) -> str: ... # type: ignore[override] code: int msg: str hdrs: Message fp: IO[bytes] def __init__(self, url: str, code: int, msg: str, hdrs: Message, fp: IO[bytes] | None) -> None: ... class ContentTooShortError(URLError): content: tuple[str, Message] def __init__(self, message: str, content: tuple[str, Message]) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/urllib/parse.pyi0000644000175100017510000001462015112307767021514 0ustar00runnerrunnerimport sys from collections.abc import Iterable, Mapping, Sequence from types import GenericAlias from typing import Any, AnyStr, Final, Generic, Literal, NamedTuple, Protocol, overload, type_check_only from typing_extensions import TypeAlias __all__ = [ "urlparse", "urlunparse", "urljoin", "urldefrag", "urlsplit", "urlunsplit", "urlencode", "parse_qs", "parse_qsl", "quote", "quote_plus", "quote_from_bytes", "unquote", "unquote_plus", "unquote_to_bytes", "DefragResult", "ParseResult", "SplitResult", "DefragResultBytes", "ParseResultBytes", "SplitResultBytes", ] uses_relative: Final[list[str]] uses_netloc: Final[list[str]] uses_params: Final[list[str]] non_hierarchical: Final[list[str]] uses_query: Final[list[str]] uses_fragment: Final[list[str]] scheme_chars: Final[str] if sys.version_info < (3, 11): MAX_CACHE_SIZE: Final[int] class _ResultMixinStr: __slots__ = () def encode(self, encoding: str = "ascii", errors: str = "strict") -> _ResultMixinBytes: ... class _ResultMixinBytes: __slots__ = () def decode(self, encoding: str = "ascii", errors: str = "strict") -> _ResultMixinStr: ... class _NetlocResultMixinBase(Generic[AnyStr]): __slots__ = () @property def username(self) -> AnyStr | None: ... @property def password(self) -> AnyStr | None: ... @property def hostname(self) -> AnyStr | None: ... @property def port(self) -> int | None: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... class _NetlocResultMixinStr(_NetlocResultMixinBase[str], _ResultMixinStr): __slots__ = () class _NetlocResultMixinBytes(_NetlocResultMixinBase[bytes], _ResultMixinBytes): __slots__ = () class _DefragResultBase(NamedTuple, Generic[AnyStr]): url: AnyStr fragment: AnyStr class _SplitResultBase(NamedTuple, Generic[AnyStr]): scheme: AnyStr netloc: AnyStr path: AnyStr query: AnyStr fragment: AnyStr class _ParseResultBase(NamedTuple, Generic[AnyStr]): scheme: AnyStr netloc: AnyStr path: AnyStr params: AnyStr query: AnyStr fragment: AnyStr # Structured result objects for string data class DefragResult(_DefragResultBase[str], _ResultMixinStr): def geturl(self) -> str: ... class SplitResult(_SplitResultBase[str], _NetlocResultMixinStr): def geturl(self) -> str: ... class ParseResult(_ParseResultBase[str], _NetlocResultMixinStr): def geturl(self) -> str: ... # Structured result objects for bytes data class DefragResultBytes(_DefragResultBase[bytes], _ResultMixinBytes): def geturl(self) -> bytes: ... class SplitResultBytes(_SplitResultBase[bytes], _NetlocResultMixinBytes): def geturl(self) -> bytes: ... class ParseResultBytes(_ParseResultBase[bytes], _NetlocResultMixinBytes): def geturl(self) -> bytes: ... def parse_qs( qs: AnyStr | None, keep_blank_values: bool = False, strict_parsing: bool = False, encoding: str = "utf-8", errors: str = "replace", max_num_fields: int | None = None, separator: str = "&", ) -> dict[AnyStr, list[AnyStr]]: ... def parse_qsl( qs: AnyStr | None, keep_blank_values: bool = False, strict_parsing: bool = False, encoding: str = "utf-8", errors: str = "replace", max_num_fields: int | None = None, separator: str = "&", ) -> list[tuple[AnyStr, AnyStr]]: ... @overload def quote(string: str, safe: str | Iterable[int] = "/", encoding: str | None = None, errors: str | None = None) -> str: ... @overload def quote(string: bytes | bytearray, safe: str | Iterable[int] = "/") -> str: ... def quote_from_bytes(bs: bytes | bytearray, safe: str | Iterable[int] = "/") -> str: ... @overload def quote_plus(string: str, safe: str | Iterable[int] = "", encoding: str | None = None, errors: str | None = None) -> str: ... @overload def quote_plus(string: bytes | bytearray, safe: str | Iterable[int] = "") -> str: ... def unquote(string: str | bytes, encoding: str = "utf-8", errors: str = "replace") -> str: ... def unquote_to_bytes(string: str | bytes | bytearray) -> bytes: ... def unquote_plus(string: str, encoding: str = "utf-8", errors: str = "replace") -> str: ... @overload def urldefrag(url: str) -> DefragResult: ... @overload def urldefrag(url: bytes | bytearray | None) -> DefragResultBytes: ... # The values are passed through `str()` (unless they are bytes), so anything is valid. _QueryType: TypeAlias = ( Mapping[str, object] | Mapping[bytes, object] | Mapping[str | bytes, object] | Mapping[str, Sequence[object]] | Mapping[bytes, Sequence[object]] | Mapping[str | bytes, Sequence[object]] | Sequence[tuple[str | bytes, object]] | Sequence[tuple[str | bytes, Sequence[object]]] ) @type_check_only class _QuoteVia(Protocol): @overload def __call__(self, string: str, safe: str | bytes, encoding: str, errors: str, /) -> str: ... @overload def __call__(self, string: bytes, safe: str | bytes, /) -> str: ... def urlencode( query: _QueryType, doseq: bool = False, safe: str | bytes = "", encoding: str | None = None, errors: str | None = None, quote_via: _QuoteVia = ..., ) -> str: ... def urljoin(base: AnyStr, url: AnyStr | None, allow_fragments: bool = True) -> AnyStr: ... @overload def urlparse(url: str, scheme: str = "", allow_fragments: bool = True) -> ParseResult: ... @overload def urlparse( url: bytes | bytearray | None, scheme: bytes | bytearray | None | Literal[""] = "", allow_fragments: bool = True ) -> ParseResultBytes: ... @overload def urlsplit(url: str, scheme: str = "", allow_fragments: bool = True) -> SplitResult: ... if sys.version_info >= (3, 11): @overload def urlsplit( url: bytes | None, scheme: bytes | None | Literal[""] = "", allow_fragments: bool = True ) -> SplitResultBytes: ... else: @overload def urlsplit( url: bytes | bytearray | None, scheme: bytes | bytearray | None | Literal[""] = "", allow_fragments: bool = True ) -> SplitResultBytes: ... # Requires an iterable of length 6 @overload def urlunparse(components: Iterable[None]) -> Literal[b""]: ... # type: ignore[overload-overlap] @overload def urlunparse(components: Iterable[AnyStr | None]) -> AnyStr: ... # Requires an iterable of length 5 @overload def urlunsplit(components: Iterable[None]) -> Literal[b""]: ... # type: ignore[overload-overlap] @overload def urlunsplit(components: Iterable[AnyStr | None]) -> AnyStr: ... def unwrap(url: str) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/urllib/request.pyi0000644000175100017510000004545415112307767022103 0ustar00runnerrunnerimport ssl import sys from _typeshed import ReadableBuffer, StrOrBytesPath, SupportsRead from collections.abc import Callable, Iterable, Mapping, MutableMapping, Sequence from email.message import Message from http.client import HTTPConnection, HTTPMessage, HTTPResponse from http.cookiejar import CookieJar from re import Pattern from typing import IO, Any, ClassVar, NoReturn, Protocol, TypeVar, overload, type_check_only from typing_extensions import TypeAlias, deprecated from urllib.error import HTTPError as HTTPError from urllib.response import addclosehook, addinfourl __all__ = [ "Request", "OpenerDirector", "BaseHandler", "HTTPDefaultErrorHandler", "HTTPRedirectHandler", "HTTPCookieProcessor", "ProxyHandler", "HTTPPasswordMgr", "HTTPPasswordMgrWithDefaultRealm", "HTTPPasswordMgrWithPriorAuth", "AbstractBasicAuthHandler", "HTTPBasicAuthHandler", "ProxyBasicAuthHandler", "AbstractDigestAuthHandler", "HTTPDigestAuthHandler", "ProxyDigestAuthHandler", "HTTPHandler", "FileHandler", "FTPHandler", "CacheFTPHandler", "DataHandler", "UnknownHandler", "HTTPErrorProcessor", "urlopen", "install_opener", "build_opener", "pathname2url", "url2pathname", "getproxies", "urlretrieve", "urlcleanup", "HTTPSHandler", ] if sys.version_info < (3, 14): __all__ += ["URLopener", "FancyURLopener"] _T = TypeVar("_T") _UrlopenRet: TypeAlias = Any _DataType: TypeAlias = ReadableBuffer | SupportsRead[bytes] | Iterable[bytes] | None if sys.version_info >= (3, 13): def urlopen( url: str | Request, data: _DataType | None = None, timeout: float | None = ..., *, context: ssl.SSLContext | None = None ) -> _UrlopenRet: ... else: def urlopen( url: str | Request, data: _DataType | None = None, timeout: float | None = ..., *, cafile: str | None = None, capath: str | None = None, cadefault: bool = False, context: ssl.SSLContext | None = None, ) -> _UrlopenRet: ... def install_opener(opener: OpenerDirector) -> None: ... def build_opener(*handlers: BaseHandler | Callable[[], BaseHandler]) -> OpenerDirector: ... if sys.version_info >= (3, 14): def url2pathname(url: str, *, require_scheme: bool = False, resolve_host: bool = False) -> str: ... def pathname2url(pathname: str, *, add_scheme: bool = False) -> str: ... else: if sys.platform == "win32": from nturl2path import pathname2url as pathname2url, url2pathname as url2pathname else: def url2pathname(pathname: str) -> str: ... def pathname2url(pathname: str) -> str: ... def getproxies() -> dict[str, str]: ... def getproxies_environment() -> dict[str, str]: ... def parse_http_list(s: str) -> list[str]: ... def parse_keqv_list(l: list[str]) -> dict[str, str]: ... if sys.platform == "win32" or sys.platform == "darwin": def proxy_bypass(host: str) -> Any: ... # undocumented else: def proxy_bypass(host: str, proxies: Mapping[str, str] | None = None) -> Any: ... # undocumented class Request: @property def full_url(self) -> str: ... @full_url.setter def full_url(self, value: str) -> None: ... @full_url.deleter def full_url(self) -> None: ... type: str host: str origin_req_host: str selector: str data: _DataType headers: MutableMapping[str, str] unredirected_hdrs: dict[str, str] unverifiable: bool method: str | None timeout: float | None # Undocumented, only set after __init__() by OpenerDirector.open() def __init__( self, url: str, data: _DataType = None, headers: MutableMapping[str, str] = {}, origin_req_host: str | None = None, unverifiable: bool = False, method: str | None = None, ) -> None: ... def get_method(self) -> str: ... def add_header(self, key: str, val: str) -> None: ... def add_unredirected_header(self, key: str, val: str) -> None: ... def has_header(self, header_name: str) -> bool: ... def remove_header(self, header_name: str) -> None: ... def get_full_url(self) -> str: ... def set_proxy(self, host: str, type: str) -> None: ... @overload def get_header(self, header_name: str) -> str | None: ... @overload def get_header(self, header_name: str, default: _T) -> str | _T: ... def header_items(self) -> list[tuple[str, str]]: ... def has_proxy(self) -> bool: ... class OpenerDirector: addheaders: list[tuple[str, str]] def add_handler(self, handler: BaseHandler) -> None: ... def open(self, fullurl: str | Request, data: _DataType = None, timeout: float | None = ...) -> _UrlopenRet: ... def error(self, proto: str, *args: Any) -> _UrlopenRet: ... def close(self) -> None: ... class BaseHandler: handler_order: ClassVar[int] parent: OpenerDirector def add_parent(self, parent: OpenerDirector) -> None: ... def close(self) -> None: ... def __lt__(self, other: object) -> bool: ... class HTTPDefaultErrorHandler(BaseHandler): def http_error_default( self, req: Request, fp: IO[bytes], code: int, msg: str, hdrs: HTTPMessage ) -> HTTPError: ... # undocumented class HTTPRedirectHandler(BaseHandler): max_redirections: ClassVar[int] # undocumented max_repeats: ClassVar[int] # undocumented inf_msg: ClassVar[str] # undocumented def redirect_request( self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage, newurl: str ) -> Request | None: ... def http_error_301(self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage) -> _UrlopenRet | None: ... def http_error_302(self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage) -> _UrlopenRet | None: ... def http_error_303(self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage) -> _UrlopenRet | None: ... def http_error_307(self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage) -> _UrlopenRet | None: ... if sys.version_info >= (3, 11): def http_error_308( self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage ) -> _UrlopenRet | None: ... class HTTPCookieProcessor(BaseHandler): cookiejar: CookieJar def __init__(self, cookiejar: CookieJar | None = None) -> None: ... def http_request(self, request: Request) -> Request: ... # undocumented def http_response(self, request: Request, response: HTTPResponse) -> HTTPResponse: ... # undocumented def https_request(self, request: Request) -> Request: ... # undocumented def https_response(self, request: Request, response: HTTPResponse) -> HTTPResponse: ... # undocumented class ProxyHandler(BaseHandler): def __init__(self, proxies: dict[str, str] | None = None) -> None: ... def proxy_open(self, req: Request, proxy: str, type: str) -> _UrlopenRet | None: ... # undocumented # TODO: add a method for every (common) proxy protocol class HTTPPasswordMgr: def add_password(self, realm: str, uri: str | Sequence[str], user: str, passwd: str) -> None: ... def find_user_password(self, realm: str, authuri: str) -> tuple[str | None, str | None]: ... def is_suburi(self, base: str, test: str) -> bool: ... # undocumented def reduce_uri(self, uri: str, default_port: bool = True) -> tuple[str, str]: ... # undocumented class HTTPPasswordMgrWithDefaultRealm(HTTPPasswordMgr): def add_password(self, realm: str | None, uri: str | Sequence[str], user: str, passwd: str) -> None: ... def find_user_password(self, realm: str | None, authuri: str) -> tuple[str | None, str | None]: ... class HTTPPasswordMgrWithPriorAuth(HTTPPasswordMgrWithDefaultRealm): def add_password( self, realm: str | None, uri: str | Sequence[str], user: str, passwd: str, is_authenticated: bool = False ) -> None: ... def update_authenticated(self, uri: str | Sequence[str], is_authenticated: bool = False) -> None: ... def is_authenticated(self, authuri: str) -> bool | None: ... class AbstractBasicAuthHandler: rx: ClassVar[Pattern[str]] # undocumented passwd: HTTPPasswordMgr add_password: Callable[[str, str | Sequence[str], str, str], None] def __init__(self, password_mgr: HTTPPasswordMgr | None = None) -> None: ... def http_error_auth_reqed(self, authreq: str, host: str, req: Request, headers: HTTPMessage) -> None: ... def http_request(self, req: Request) -> Request: ... # undocumented def http_response(self, req: Request, response: HTTPResponse) -> HTTPResponse: ... # undocumented def https_request(self, req: Request) -> Request: ... # undocumented def https_response(self, req: Request, response: HTTPResponse) -> HTTPResponse: ... # undocumented def retry_http_basic_auth(self, host: str, req: Request, realm: str) -> _UrlopenRet | None: ... # undocumented class HTTPBasicAuthHandler(AbstractBasicAuthHandler, BaseHandler): auth_header: ClassVar[str] # undocumented def http_error_401(self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage) -> _UrlopenRet | None: ... class ProxyBasicAuthHandler(AbstractBasicAuthHandler, BaseHandler): auth_header: ClassVar[str] def http_error_407(self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage) -> _UrlopenRet | None: ... class AbstractDigestAuthHandler: def __init__(self, passwd: HTTPPasswordMgr | None = None) -> None: ... def reset_retry_count(self) -> None: ... def http_error_auth_reqed(self, auth_header: str, host: str, req: Request, headers: HTTPMessage) -> None: ... def retry_http_digest_auth(self, req: Request, auth: str) -> _UrlopenRet | None: ... def get_cnonce(self, nonce: str) -> str: ... def get_authorization(self, req: Request, chal: Mapping[str, str]) -> str | None: ... def get_algorithm_impls(self, algorithm: str) -> tuple[Callable[[str], str], Callable[[str, str], str]]: ... def get_entity_digest(self, data: ReadableBuffer | None, chal: Mapping[str, str]) -> str | None: ... class HTTPDigestAuthHandler(BaseHandler, AbstractDigestAuthHandler): auth_header: ClassVar[str] # undocumented def http_error_401(self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage) -> _UrlopenRet | None: ... class ProxyDigestAuthHandler(BaseHandler, AbstractDigestAuthHandler): auth_header: ClassVar[str] # undocumented def http_error_407(self, req: Request, fp: IO[bytes], code: int, msg: str, headers: HTTPMessage) -> _UrlopenRet | None: ... @type_check_only class _HTTPConnectionProtocol(Protocol): def __call__( self, host: str, /, *, port: int | None = ..., timeout: float = ..., source_address: tuple[str, int] | None = ..., blocksize: int = ..., ) -> HTTPConnection: ... class AbstractHTTPHandler(BaseHandler): # undocumented if sys.version_info >= (3, 12): def __init__(self, debuglevel: int | None = None) -> None: ... else: def __init__(self, debuglevel: int = 0) -> None: ... def set_http_debuglevel(self, level: int) -> None: ... def do_request_(self, request: Request) -> Request: ... def do_open(self, http_class: _HTTPConnectionProtocol, req: Request, **http_conn_args: Any) -> HTTPResponse: ... class HTTPHandler(AbstractHTTPHandler): def http_open(self, req: Request) -> HTTPResponse: ... def http_request(self, request: Request) -> Request: ... # undocumented class HTTPSHandler(AbstractHTTPHandler): if sys.version_info >= (3, 12): def __init__( self, debuglevel: int | None = None, context: ssl.SSLContext | None = None, check_hostname: bool | None = None ) -> None: ... else: def __init__( self, debuglevel: int = 0, context: ssl.SSLContext | None = None, check_hostname: bool | None = None ) -> None: ... def https_open(self, req: Request) -> HTTPResponse: ... def https_request(self, request: Request) -> Request: ... # undocumented class FileHandler(BaseHandler): names: ClassVar[tuple[str, ...] | None] # undocumented def file_open(self, req: Request) -> addinfourl: ... def get_names(self) -> tuple[str, ...]: ... # undocumented def open_local_file(self, req: Request) -> addinfourl: ... # undocumented class DataHandler(BaseHandler): def data_open(self, req: Request) -> addinfourl: ... class ftpwrapper: # undocumented def __init__( self, user: str, passwd: str, host: str, port: int, dirs: str, timeout: float | None = None, persistent: bool = True ) -> None: ... def close(self) -> None: ... def endtransfer(self) -> None: ... def file_close(self) -> None: ... def init(self) -> None: ... def real_close(self) -> None: ... def retrfile(self, file: str, type: str) -> tuple[addclosehook, int | None]: ... class FTPHandler(BaseHandler): def ftp_open(self, req: Request) -> addinfourl: ... def connect_ftp( self, user: str, passwd: str, host: str, port: int, dirs: str, timeout: float ) -> ftpwrapper: ... # undocumented class CacheFTPHandler(FTPHandler): def setTimeout(self, t: float) -> None: ... def setMaxConns(self, m: int) -> None: ... def check_cache(self) -> None: ... # undocumented def clear_cache(self) -> None: ... # undocumented class UnknownHandler(BaseHandler): def unknown_open(self, req: Request) -> NoReturn: ... class HTTPErrorProcessor(BaseHandler): def http_response(self, request: Request, response: HTTPResponse) -> _UrlopenRet: ... def https_response(self, request: Request, response: HTTPResponse) -> _UrlopenRet: ... def urlretrieve( url: str, filename: StrOrBytesPath | None = None, reporthook: Callable[[int, int, int], object] | None = None, data: _DataType = None, ) -> tuple[str, HTTPMessage]: ... def urlcleanup() -> None: ... if sys.version_info < (3, 14): @deprecated("Deprecated since Python 3.3; removed in Python 3.14. Use newer `urlopen` functions and methods.") class URLopener: version: ClassVar[str] def __init__(self, proxies: dict[str, str] | None = None, **x509: str) -> None: ... def open(self, fullurl: str, data: ReadableBuffer | None = None) -> _UrlopenRet: ... def open_unknown(self, fullurl: str, data: ReadableBuffer | None = None) -> _UrlopenRet: ... def retrieve( self, url: str, filename: str | None = None, reporthook: Callable[[int, int, int], object] | None = None, data: ReadableBuffer | None = None, ) -> tuple[str, Message | None]: ... def addheader(self, *args: tuple[str, str]) -> None: ... # undocumented def cleanup(self) -> None: ... # undocumented def close(self) -> None: ... # undocumented def http_error( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: bytes | None = None ) -> _UrlopenRet: ... # undocumented def http_error_default( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage ) -> _UrlopenRet: ... # undocumented def open_data(self, url: str, data: ReadableBuffer | None = None) -> addinfourl: ... # undocumented def open_file(self, url: str) -> addinfourl: ... # undocumented def open_ftp(self, url: str) -> addinfourl: ... # undocumented def open_http(self, url: str, data: ReadableBuffer | None = None) -> _UrlopenRet: ... # undocumented def open_https(self, url: str, data: ReadableBuffer | None = None) -> _UrlopenRet: ... # undocumented def open_local_file(self, url: str) -> addinfourl: ... # undocumented def open_unknown_proxy(self, proxy: str, fullurl: str, data: ReadableBuffer | None = None) -> None: ... # undocumented def __del__(self) -> None: ... @deprecated("Deprecated since Python 3.3; removed in Python 3.14. Use newer `urlopen` functions and methods.") class FancyURLopener(URLopener): def prompt_user_passwd(self, host: str, realm: str) -> tuple[str, str]: ... def get_user_passwd(self, host: str, realm: str, clear_cache: int = 0) -> tuple[str, str]: ... # undocumented def http_error_301( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: ReadableBuffer | None = None ) -> _UrlopenRet | addinfourl | None: ... # undocumented def http_error_302( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: ReadableBuffer | None = None ) -> _UrlopenRet | addinfourl | None: ... # undocumented def http_error_303( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: ReadableBuffer | None = None ) -> _UrlopenRet | addinfourl | None: ... # undocumented def http_error_307( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: ReadableBuffer | None = None ) -> _UrlopenRet | addinfourl | None: ... # undocumented if sys.version_info >= (3, 11): def http_error_308( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: ReadableBuffer | None = None ) -> _UrlopenRet | addinfourl | None: ... # undocumented def http_error_401( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: ReadableBuffer | None = None, retry: bool = False, ) -> _UrlopenRet | None: ... # undocumented def http_error_407( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: ReadableBuffer | None = None, retry: bool = False, ) -> _UrlopenRet | None: ... # undocumented def http_error_default( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage ) -> addinfourl: ... # undocumented def redirect_internal( self, url: str, fp: IO[bytes], errcode: int, errmsg: str, headers: HTTPMessage, data: ReadableBuffer | None ) -> _UrlopenRet | None: ... # undocumented def retry_http_basic_auth( self, url: str, realm: str, data: ReadableBuffer | None = None ) -> _UrlopenRet | None: ... # undocumented def retry_https_basic_auth( self, url: str, realm: str, data: ReadableBuffer | None = None ) -> _UrlopenRet | None: ... # undocumented def retry_proxy_http_basic_auth( self, url: str, realm: str, data: ReadableBuffer | None = None ) -> _UrlopenRet | None: ... # undocumented def retry_proxy_https_basic_auth( self, url: str, realm: str, data: ReadableBuffer | None = None ) -> _UrlopenRet | None: ... # undocumented ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/urllib/response.pyi0000644000175100017510000000305415112307767022237 0ustar00runnerrunnerimport tempfile from _typeshed import ReadableBuffer from collections.abc import Callable, Iterable from email.message import Message from types import TracebackType from typing import IO, Any __all__ = ["addbase", "addclosehook", "addinfo", "addinfourl"] class addbase(tempfile._TemporaryFileWrapper[bytes]): fp: IO[bytes] def __init__(self, fp: IO[bytes]) -> None: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... # These methods don't actually exist, but the class inherits at runtime from # tempfile._TemporaryFileWrapper, which uses __getattr__ to delegate to the # underlying file object. To satisfy the BinaryIO interface, we pretend that this # class has these additional methods. def write(self, s: ReadableBuffer) -> int: ... def writelines(self, lines: Iterable[ReadableBuffer]) -> None: ... class addclosehook(addbase): closehook: Callable[..., object] hookargs: tuple[Any, ...] def __init__(self, fp: IO[bytes], closehook: Callable[..., object], *hookargs: Any) -> None: ... class addinfo(addbase): headers: Message def __init__(self, fp: IO[bytes], headers: Message) -> None: ... def info(self) -> Message: ... class addinfourl(addinfo): url: str code: int | None @property def status(self) -> int | None: ... def __init__(self, fp: IO[bytes], headers: Message, url: str, code: int | None = None) -> None: ... def geturl(self) -> str: ... def getcode(self) -> int | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/urllib/robotparser.pyi0000644000175100017510000000125315112307767022742 0ustar00runnerrunnerfrom collections.abc import Iterable from typing import NamedTuple __all__ = ["RobotFileParser"] class RequestRate(NamedTuple): requests: int seconds: int class RobotFileParser: def __init__(self, url: str = "") -> None: ... def set_url(self, url: str) -> None: ... def read(self) -> None: ... def parse(self, lines: Iterable[str]) -> None: ... def can_fetch(self, useragent: str, url: str) -> bool: ... def mtime(self) -> int: ... def modified(self) -> None: ... def crawl_delay(self, useragent: str) -> str | None: ... def request_rate(self, useragent: str) -> RequestRate | None: ... def site_maps(self) -> list[str] | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/uu.pyi0000644000175100017510000000065715112307767017547 0ustar00runnerrunnerfrom typing import BinaryIO from typing_extensions import TypeAlias __all__ = ["Error", "encode", "decode"] _File: TypeAlias = str | BinaryIO class Error(Exception): ... def encode( in_file: _File, out_file: _File, name: str | None = None, mode: int | None = None, *, backtick: bool = False ) -> None: ... def decode(in_file: _File, out_file: _File | None = None, mode: int | None = None, quiet: bool = False) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/uuid.pyi0000644000175100017510000000604515112307767020061 0ustar00runnerrunnerimport builtins import sys from _typeshed import Unused from enum import Enum from typing import Final, NoReturn from typing_extensions import LiteralString, TypeAlias _FieldsType: TypeAlias = tuple[int, int, int, int, int, int] class SafeUUID(Enum): safe = 0 unsafe = -1 unknown = None class UUID: __slots__ = ("int", "is_safe", "__weakref__") is_safe: Final[SafeUUID] int: Final[builtins.int] def __init__( self, hex: str | None = None, bytes: builtins.bytes | None = None, bytes_le: builtins.bytes | None = None, fields: _FieldsType | None = None, int: builtins.int | None = None, version: builtins.int | None = None, *, is_safe: SafeUUID = SafeUUID.unknown, ) -> None: ... @property def bytes(self) -> builtins.bytes: ... @property def bytes_le(self) -> builtins.bytes: ... @property def clock_seq(self) -> builtins.int: ... @property def clock_seq_hi_variant(self) -> builtins.int: ... @property def clock_seq_low(self) -> builtins.int: ... @property def fields(self) -> _FieldsType: ... @property def hex(self) -> str: ... @property def node(self) -> builtins.int: ... @property def time(self) -> builtins.int: ... @property def time_hi_version(self) -> builtins.int: ... @property def time_low(self) -> builtins.int: ... @property def time_mid(self) -> builtins.int: ... @property def urn(self) -> str: ... @property def variant(self) -> str: ... @property def version(self) -> builtins.int | None: ... def __int__(self) -> builtins.int: ... def __eq__(self, other: object) -> bool: ... def __lt__(self, other: UUID) -> bool: ... def __le__(self, other: UUID) -> bool: ... def __gt__(self, other: UUID) -> bool: ... def __ge__(self, other: UUID) -> bool: ... def __hash__(self) -> builtins.int: ... def __setattr__(self, name: Unused, value: Unused) -> NoReturn: ... def getnode() -> int: ... def uuid1(node: int | None = None, clock_seq: int | None = None) -> UUID: ... if sys.version_info >= (3, 14): def uuid6(node: int | None = None, clock_seq: int | None = None) -> UUID: ... def uuid7() -> UUID: ... def uuid8(a: int | None = None, b: int | None = None, c: int | None = None) -> UUID: ... if sys.version_info >= (3, 12): def uuid3(namespace: UUID, name: str | bytes) -> UUID: ... else: def uuid3(namespace: UUID, name: str) -> UUID: ... def uuid4() -> UUID: ... if sys.version_info >= (3, 12): def uuid5(namespace: UUID, name: str | bytes) -> UUID: ... else: def uuid5(namespace: UUID, name: str) -> UUID: ... if sys.version_info >= (3, 14): NIL: Final[UUID] MAX: Final[UUID] NAMESPACE_DNS: Final[UUID] NAMESPACE_URL: Final[UUID] NAMESPACE_OID: Final[UUID] NAMESPACE_X500: Final[UUID] RESERVED_NCS: Final[LiteralString] RFC_4122: Final[LiteralString] RESERVED_MICROSOFT: Final[LiteralString] RESERVED_FUTURE: Final[LiteralString] if sys.version_info >= (3, 12): def main() -> None: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6147656 mypy-1.19.0/mypy/typeshed/stdlib/venv/0000755000175100017510000000000015112310012017312 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/venv/__init__.pyi0000644000175100017510000000560715112307767021633 0ustar00runnerrunnerimport logging import sys from _typeshed import StrOrBytesPath from collections.abc import Iterable, Sequence from types import SimpleNamespace from typing import Final logger: logging.Logger CORE_VENV_DEPS: Final[tuple[str, ...]] class EnvBuilder: system_site_packages: bool clear: bool symlinks: bool upgrade: bool with_pip: bool prompt: str | None if sys.version_info >= (3, 13): def __init__( self, system_site_packages: bool = False, clear: bool = False, symlinks: bool = False, upgrade: bool = False, with_pip: bool = False, prompt: str | None = None, upgrade_deps: bool = False, *, scm_ignore_files: Iterable[str] = ..., ) -> None: ... else: def __init__( self, system_site_packages: bool = False, clear: bool = False, symlinks: bool = False, upgrade: bool = False, with_pip: bool = False, prompt: str | None = None, upgrade_deps: bool = False, ) -> None: ... def create(self, env_dir: StrOrBytesPath) -> None: ... def clear_directory(self, path: StrOrBytesPath) -> None: ... # undocumented def ensure_directories(self, env_dir: StrOrBytesPath) -> SimpleNamespace: ... def create_configuration(self, context: SimpleNamespace) -> None: ... def symlink_or_copy( self, src: StrOrBytesPath, dst: StrOrBytesPath, relative_symlinks_ok: bool = False ) -> None: ... # undocumented def setup_python(self, context: SimpleNamespace) -> None: ... def _setup_pip(self, context: SimpleNamespace) -> None: ... # undocumented def setup_scripts(self, context: SimpleNamespace) -> None: ... def post_setup(self, context: SimpleNamespace) -> None: ... def replace_variables(self, text: str, context: SimpleNamespace) -> str: ... # undocumented def install_scripts(self, context: SimpleNamespace, path: str) -> None: ... def upgrade_dependencies(self, context: SimpleNamespace) -> None: ... if sys.version_info >= (3, 13): def create_git_ignore_file(self, context: SimpleNamespace) -> None: ... if sys.version_info >= (3, 13): def create( env_dir: StrOrBytesPath, system_site_packages: bool = False, clear: bool = False, symlinks: bool = False, with_pip: bool = False, prompt: str | None = None, upgrade_deps: bool = False, *, scm_ignore_files: Iterable[str] = ..., ) -> None: ... else: def create( env_dir: StrOrBytesPath, system_site_packages: bool = False, clear: bool = False, symlinks: bool = False, with_pip: bool = False, prompt: str | None = None, upgrade_deps: bool = False, ) -> None: ... def main(args: Sequence[str] | None = None) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/warnings.pyi0000644000175100017510000001021615112307767020736 0ustar00runnerrunnerimport re import sys from _warnings import warn as warn, warn_explicit as warn_explicit from collections.abc import Sequence from types import ModuleType, TracebackType from typing import Any, Generic, Literal, TextIO, overload from typing_extensions import LiteralString, TypeAlias, TypeVar __all__ = [ "warn", "warn_explicit", "showwarning", "formatwarning", "filterwarnings", "simplefilter", "resetwarnings", "catch_warnings", ] if sys.version_info >= (3, 13): __all__ += ["deprecated"] _T = TypeVar("_T") _W_co = TypeVar("_W_co", bound=list[WarningMessage] | None, default=list[WarningMessage] | None, covariant=True) if sys.version_info >= (3, 14): _ActionKind: TypeAlias = Literal["default", "error", "ignore", "always", "module", "once"] else: _ActionKind: TypeAlias = Literal["default", "error", "ignore", "always", "all", "module", "once"] filters: Sequence[tuple[str, re.Pattern[str] | None, type[Warning], re.Pattern[str] | None, int]] # undocumented, do not mutate def showwarning( message: Warning | str, category: type[Warning], filename: str, lineno: int, file: TextIO | None = None, line: str | None = None, ) -> None: ... def formatwarning( message: Warning | str, category: type[Warning], filename: str, lineno: int, line: str | None = None ) -> str: ... def filterwarnings( action: _ActionKind, message: str = "", category: type[Warning] = ..., module: str = "", lineno: int = 0, append: bool = False ) -> None: ... def simplefilter(action: _ActionKind, category: type[Warning] = ..., lineno: int = 0, append: bool = False) -> None: ... def resetwarnings() -> None: ... class _OptionError(Exception): ... class WarningMessage: message: Warning | str category: type[Warning] filename: str lineno: int file: TextIO | None line: str | None source: Any | None def __init__( self, message: Warning | str, category: type[Warning], filename: str, lineno: int, file: TextIO | None = None, line: str | None = None, source: Any | None = None, ) -> None: ... class catch_warnings(Generic[_W_co]): if sys.version_info >= (3, 11): @overload def __init__( self: catch_warnings[None], *, record: Literal[False] = False, module: ModuleType | None = None, action: _ActionKind | None = None, category: type[Warning] = ..., lineno: int = 0, append: bool = False, ) -> None: ... @overload def __init__( self: catch_warnings[list[WarningMessage]], *, record: Literal[True], module: ModuleType | None = None, action: _ActionKind | None = None, category: type[Warning] = ..., lineno: int = 0, append: bool = False, ) -> None: ... @overload def __init__( self, *, record: bool, module: ModuleType | None = None, action: _ActionKind | None = None, category: type[Warning] = ..., lineno: int = 0, append: bool = False, ) -> None: ... else: @overload def __init__(self: catch_warnings[None], *, record: Literal[False] = False, module: ModuleType | None = None) -> None: ... @overload def __init__( self: catch_warnings[list[WarningMessage]], *, record: Literal[True], module: ModuleType | None = None ) -> None: ... @overload def __init__(self, *, record: bool, module: ModuleType | None = None) -> None: ... def __enter__(self) -> _W_co: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... if sys.version_info >= (3, 13): class deprecated: message: LiteralString category: type[Warning] | None stacklevel: int def __init__(self, message: LiteralString, /, *, category: type[Warning] | None = ..., stacklevel: int = 1) -> None: ... def __call__(self, arg: _T, /) -> _T: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/wave.pyi0000644000175100017510000000664415112307767020062 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer, Unused from typing import IO, Any, BinaryIO, Final, Literal, NamedTuple, NoReturn, overload from typing_extensions import Self, TypeAlias, deprecated __all__ = ["open", "Error", "Wave_read", "Wave_write"] _File: TypeAlias = str | IO[bytes] class Error(Exception): ... WAVE_FORMAT_PCM: Final = 0x0001 class _wave_params(NamedTuple): nchannels: int sampwidth: int framerate: int nframes: int comptype: str compname: str class Wave_read: def __init__(self, f: _File) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def __del__(self) -> None: ... def getfp(self) -> BinaryIO | None: ... def rewind(self) -> None: ... def close(self) -> None: ... def tell(self) -> int: ... def getnchannels(self) -> int: ... def getnframes(self) -> int: ... def getsampwidth(self) -> int: ... def getframerate(self) -> int: ... def getcomptype(self) -> str: ... def getcompname(self) -> str: ... def getparams(self) -> _wave_params: ... if sys.version_info >= (3, 13): @deprecated("Deprecated since Python 3.13; will be removed in Python 3.15.") def getmarkers(self) -> None: ... @deprecated("Deprecated since Python 3.13; will be removed in Python 3.15.") def getmark(self, id: Any) -> NoReturn: ... else: def getmarkers(self) -> None: ... def getmark(self, id: Any) -> NoReturn: ... def setpos(self, pos: int) -> None: ... def readframes(self, nframes: int) -> bytes: ... class Wave_write: def __init__(self, f: _File) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, *args: Unused) -> None: ... def __del__(self) -> None: ... def setnchannels(self, nchannels: int) -> None: ... def getnchannels(self) -> int: ... def setsampwidth(self, sampwidth: int) -> None: ... def getsampwidth(self) -> int: ... def setframerate(self, framerate: float) -> None: ... def getframerate(self) -> int: ... def setnframes(self, nframes: int) -> None: ... def getnframes(self) -> int: ... def setcomptype(self, comptype: str, compname: str) -> None: ... def getcomptype(self) -> str: ... def getcompname(self) -> str: ... def setparams(self, params: _wave_params | tuple[int, int, int, int, str, str]) -> None: ... def getparams(self) -> _wave_params: ... if sys.version_info >= (3, 13): @deprecated("Deprecated since Python 3.13; will be removed in Python 3.15.") def setmark(self, id: Any, pos: Any, name: Any) -> NoReturn: ... @deprecated("Deprecated since Python 3.13; will be removed in Python 3.15.") def getmark(self, id: Any) -> NoReturn: ... @deprecated("Deprecated since Python 3.13; will be removed in Python 3.15.") def getmarkers(self) -> None: ... else: def setmark(self, id: Any, pos: Any, name: Any) -> NoReturn: ... def getmark(self, id: Any) -> NoReturn: ... def getmarkers(self) -> None: ... def tell(self) -> int: ... def writeframesraw(self, data: ReadableBuffer) -> None: ... def writeframes(self, data: ReadableBuffer) -> None: ... def close(self) -> None: ... @overload def open(f: _File, mode: Literal["r", "rb"]) -> Wave_read: ... @overload def open(f: _File, mode: Literal["w", "wb"]) -> Wave_write: ... @overload def open(f: _File, mode: str | None = None) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/weakref.pyi0000644000175100017510000002043315112307767020534 0ustar00runnerrunnerfrom _typeshed import SupportsKeysAndGetItem from _weakref import getweakrefcount as getweakrefcount, getweakrefs as getweakrefs, proxy as proxy from _weakrefset import WeakSet as WeakSet from collections.abc import Callable, Iterable, Iterator, Mapping, MutableMapping from types import GenericAlias from typing import Any, ClassVar, Generic, TypeVar, final, overload from typing_extensions import ParamSpec, Self, disjoint_base __all__ = [ "ref", "proxy", "getweakrefcount", "getweakrefs", "WeakKeyDictionary", "ReferenceType", "ProxyType", "CallableProxyType", "ProxyTypes", "WeakValueDictionary", "WeakSet", "WeakMethod", "finalize", ] _T = TypeVar("_T") _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _KT = TypeVar("_KT") _VT = TypeVar("_VT") _CallableT = TypeVar("_CallableT", bound=Callable[..., Any]) _P = ParamSpec("_P") ProxyTypes: tuple[type[Any], ...] # These classes are implemented in C and imported from _weakref at runtime. However, # they consider themselves to live in the weakref module for sys.version_info >= (3, 11), # so defining their stubs here means we match their __module__ value. # Prior to 3.11 they did not declare a module for themselves and ended up looking like they # came from the builtin module at runtime, which was just wrong, and we won't attempt to # duplicate that. @final class CallableProxyType(Generic[_CallableT]): # "weakcallableproxy" def __eq__(self, value: object, /) -> bool: ... def __getattr__(self, attr: str) -> Any: ... __call__: _CallableT __hash__: ClassVar[None] # type: ignore[assignment] @final class ProxyType(Generic[_T]): # "weakproxy" def __eq__(self, value: object, /) -> bool: ... def __getattr__(self, attr: str) -> Any: ... __hash__: ClassVar[None] # type: ignore[assignment] @disjoint_base class ReferenceType(Generic[_T]): # "weakref" __callback__: Callable[[Self], Any] def __new__(cls, o: _T, callback: Callable[[Self], Any] | None = ..., /) -> Self: ... def __call__(self) -> _T | None: ... def __eq__(self, value: object, /) -> bool: ... def __hash__(self) -> int: ... def __class_getitem__(cls, item: Any, /) -> GenericAlias: ... ref = ReferenceType # everything below here is implemented in weakref.py class WeakMethod(ref[_CallableT]): __slots__ = ("_func_ref", "_meth_type", "_alive", "__weakref__") def __new__(cls, meth: _CallableT, callback: Callable[[Self], Any] | None = None) -> Self: ... def __call__(self) -> _CallableT | None: ... def __eq__(self, other: object) -> bool: ... def __ne__(self, other: object) -> bool: ... def __hash__(self) -> int: ... class WeakValueDictionary(MutableMapping[_KT, _VT]): @overload def __init__(self) -> None: ... @overload def __init__( self: WeakValueDictionary[_KT, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 other: Mapping[_KT, _VT] | Iterable[tuple[_KT, _VT]], /, ) -> None: ... @overload def __init__( self: WeakValueDictionary[str, _VT], # pyright: ignore[reportInvalidTypeVarUse] #11780 other: Mapping[str, _VT] | Iterable[tuple[str, _VT]] = (), /, **kwargs: _VT, ) -> None: ... def __len__(self) -> int: ... def __getitem__(self, key: _KT) -> _VT: ... def __setitem__(self, key: _KT, value: _VT) -> None: ... def __delitem__(self, key: _KT) -> None: ... def __contains__(self, key: object) -> bool: ... def __iter__(self) -> Iterator[_KT]: ... def copy(self) -> WeakValueDictionary[_KT, _VT]: ... __copy__ = copy def __deepcopy__(self, memo: Any) -> Self: ... @overload def get(self, key: _KT, default: None = None) -> _VT | None: ... @overload def get(self, key: _KT, default: _VT) -> _VT: ... @overload def get(self, key: _KT, default: _T) -> _VT | _T: ... # These are incompatible with Mapping def keys(self) -> Iterator[_KT]: ... # type: ignore[override] def values(self) -> Iterator[_VT]: ... # type: ignore[override] def items(self) -> Iterator[tuple[_KT, _VT]]: ... # type: ignore[override] def itervaluerefs(self) -> Iterator[KeyedRef[_KT, _VT]]: ... def valuerefs(self) -> list[KeyedRef[_KT, _VT]]: ... def setdefault(self, key: _KT, default: _VT) -> _VT: ... @overload def pop(self, key: _KT) -> _VT: ... @overload def pop(self, key: _KT, default: _VT) -> _VT: ... @overload def pop(self, key: _KT, default: _T) -> _VT | _T: ... @overload def update(self, other: SupportsKeysAndGetItem[_KT, _VT], /, **kwargs: _VT) -> None: ... @overload def update(self, other: Iterable[tuple[_KT, _VT]], /, **kwargs: _VT) -> None: ... @overload def update(self, other: None = None, /, **kwargs: _VT) -> None: ... def __or__(self, other: Mapping[_T1, _T2]) -> WeakValueDictionary[_KT | _T1, _VT | _T2]: ... def __ror__(self, other: Mapping[_T1, _T2]) -> WeakValueDictionary[_KT | _T1, _VT | _T2]: ... # WeakValueDictionary.__ior__ should be kept roughly in line with MutableMapping.update() @overload # type: ignore[misc] def __ior__(self, other: SupportsKeysAndGetItem[_KT, _VT]) -> Self: ... @overload def __ior__(self, other: Iterable[tuple[_KT, _VT]]) -> Self: ... class KeyedRef(ref[_T], Generic[_KT, _T]): __slots__ = ("key",) key: _KT def __new__(type, ob: _T, callback: Callable[[Self], Any], key: _KT) -> Self: ... def __init__(self, ob: _T, callback: Callable[[Self], Any], key: _KT) -> None: ... class WeakKeyDictionary(MutableMapping[_KT, _VT]): @overload def __init__(self, dict: None = None) -> None: ... @overload def __init__(self, dict: Mapping[_KT, _VT] | Iterable[tuple[_KT, _VT]]) -> None: ... def __len__(self) -> int: ... def __getitem__(self, key: _KT) -> _VT: ... def __setitem__(self, key: _KT, value: _VT) -> None: ... def __delitem__(self, key: _KT) -> None: ... def __contains__(self, key: object) -> bool: ... def __iter__(self) -> Iterator[_KT]: ... def copy(self) -> WeakKeyDictionary[_KT, _VT]: ... __copy__ = copy def __deepcopy__(self, memo: Any) -> Self: ... @overload def get(self, key: _KT, default: None = None) -> _VT | None: ... @overload def get(self, key: _KT, default: _VT) -> _VT: ... @overload def get(self, key: _KT, default: _T) -> _VT | _T: ... # These are incompatible with Mapping def keys(self) -> Iterator[_KT]: ... # type: ignore[override] def values(self) -> Iterator[_VT]: ... # type: ignore[override] def items(self) -> Iterator[tuple[_KT, _VT]]: ... # type: ignore[override] def keyrefs(self) -> list[ref[_KT]]: ... # Keep WeakKeyDictionary.setdefault in line with MutableMapping.setdefault, modulo positional-only differences @overload def setdefault(self: WeakKeyDictionary[_KT, _VT | None], key: _KT, default: None = None) -> _VT: ... @overload def setdefault(self, key: _KT, default: _VT) -> _VT: ... @overload def pop(self, key: _KT) -> _VT: ... @overload def pop(self, key: _KT, default: _VT) -> _VT: ... @overload def pop(self, key: _KT, default: _T) -> _VT | _T: ... @overload def update(self, dict: SupportsKeysAndGetItem[_KT, _VT], /, **kwargs: _VT) -> None: ... @overload def update(self, dict: Iterable[tuple[_KT, _VT]], /, **kwargs: _VT) -> None: ... @overload def update(self, dict: None = None, /, **kwargs: _VT) -> None: ... def __or__(self, other: Mapping[_T1, _T2]) -> WeakKeyDictionary[_KT | _T1, _VT | _T2]: ... def __ror__(self, other: Mapping[_T1, _T2]) -> WeakKeyDictionary[_KT | _T1, _VT | _T2]: ... # WeakKeyDictionary.__ior__ should be kept roughly in line with MutableMapping.update() @overload # type: ignore[misc] def __ior__(self, other: SupportsKeysAndGetItem[_KT, _VT]) -> Self: ... @overload def __ior__(self, other: Iterable[tuple[_KT, _VT]]) -> Self: ... class finalize(Generic[_P, _T]): __slots__ = () def __init__(self, obj: _T, func: Callable[_P, Any], /, *args: _P.args, **kwargs: _P.kwargs) -> None: ... def __call__(self, _: Any = None) -> Any | None: ... def detach(self) -> tuple[_T, Callable[_P, Any], tuple[Any, ...], dict[str, Any]] | None: ... def peek(self) -> tuple[_T, Callable[_P, Any], tuple[Any, ...], dict[str, Any]] | None: ... @property def alive(self) -> bool: ... atexit: bool ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/webbrowser.pyi0000644000175100017510000000574015112307767021275 0ustar00runnerrunnerimport sys from abc import abstractmethod from collections.abc import Callable, Sequence from typing import Literal from typing_extensions import deprecated __all__ = ["Error", "open", "open_new", "open_new_tab", "get", "register"] class Error(Exception): ... def register( name: str, klass: Callable[[], BaseBrowser] | None, instance: BaseBrowser | None = None, *, preferred: bool = False ) -> None: ... def get(using: str | None = None) -> BaseBrowser: ... def open(url: str, new: int = 0, autoraise: bool = True) -> bool: ... def open_new(url: str) -> bool: ... def open_new_tab(url: str) -> bool: ... class BaseBrowser: args: list[str] name: str basename: str def __init__(self, name: str = "") -> None: ... @abstractmethod def open(self, url: str, new: int = 0, autoraise: bool = True) -> bool: ... def open_new(self, url: str) -> bool: ... def open_new_tab(self, url: str) -> bool: ... class GenericBrowser(BaseBrowser): def __init__(self, name: str | Sequence[str]) -> None: ... def open(self, url: str, new: int = 0, autoraise: bool = True) -> bool: ... class BackgroundBrowser(GenericBrowser): ... class UnixBrowser(BaseBrowser): def open(self, url: str, new: Literal[0, 1, 2] = 0, autoraise: bool = True) -> bool: ... # type: ignore[override] raise_opts: list[str] | None background: bool redirect_stdout: bool remote_args: list[str] remote_action: str remote_action_newwin: str remote_action_newtab: str class Mozilla(UnixBrowser): ... if sys.version_info < (3, 12): class Galeon(UnixBrowser): raise_opts: list[str] class Grail(BaseBrowser): def open(self, url: str, new: int = 0, autoraise: bool = True) -> bool: ... class Chrome(UnixBrowser): ... class Opera(UnixBrowser): ... class Elinks(UnixBrowser): ... class Konqueror(BaseBrowser): def open(self, url: str, new: int = 0, autoraise: bool = True) -> bool: ... if sys.platform == "win32": class WindowsDefault(BaseBrowser): def open(self, url: str, new: int = 0, autoraise: bool = True) -> bool: ... if sys.platform == "darwin": if sys.version_info < (3, 13): if sys.version_info >= (3, 11): @deprecated("Deprecated since Python 3.11; removed in Python 3.13.") class MacOSX(BaseBrowser): def __init__(self, name: str) -> None: ... def open(self, url: str, new: int = 0, autoraise: bool = True) -> bool: ... else: class MacOSX(BaseBrowser): def __init__(self, name: str) -> None: ... def open(self, url: str, new: int = 0, autoraise: bool = True) -> bool: ... class MacOSXOSAScript(BaseBrowser): # In runtime this class does not have `name` and `basename` if sys.version_info >= (3, 11): def __init__(self, name: str = "default") -> None: ... else: def __init__(self, name: str) -> None: ... def open(self, url: str, new: int = 0, autoraise: bool = True) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/winreg.pyi0000644000175100017510000001267715112307767020416 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer, Unused from types import TracebackType from typing import Any, Final, Literal, final, overload from typing_extensions import Self, TypeAlias if sys.platform == "win32": _KeyType: TypeAlias = HKEYType | int def CloseKey(hkey: _KeyType, /) -> None: ... def ConnectRegistry(computer_name: str | None, key: _KeyType, /) -> HKEYType: ... def CreateKey(key: _KeyType, sub_key: str | None, /) -> HKEYType: ... def CreateKeyEx(key: _KeyType, sub_key: str | None, reserved: int = 0, access: int = 131078) -> HKEYType: ... def DeleteKey(key: _KeyType, sub_key: str, /) -> None: ... def DeleteKeyEx(key: _KeyType, sub_key: str, access: int = 256, reserved: int = 0) -> None: ... def DeleteValue(key: _KeyType, value: str, /) -> None: ... def EnumKey(key: _KeyType, index: int, /) -> str: ... def EnumValue(key: _KeyType, index: int, /) -> tuple[str, Any, int]: ... def ExpandEnvironmentStrings(string: str, /) -> str: ... def FlushKey(key: _KeyType, /) -> None: ... def LoadKey(key: _KeyType, sub_key: str, file_name: str, /) -> None: ... def OpenKey(key: _KeyType, sub_key: str | None, reserved: int = 0, access: int = 131097) -> HKEYType: ... def OpenKeyEx(key: _KeyType, sub_key: str | None, reserved: int = 0, access: int = 131097) -> HKEYType: ... def QueryInfoKey(key: _KeyType, /) -> tuple[int, int, int]: ... def QueryValue(key: _KeyType, sub_key: str | None, /) -> str: ... def QueryValueEx(key: _KeyType, name: str, /) -> tuple[Any, int]: ... def SaveKey(key: _KeyType, file_name: str, /) -> None: ... def SetValue(key: _KeyType, sub_key: str | None, type: int, value: str, /) -> None: ... @overload # type=REG_DWORD|REG_QWORD def SetValueEx( key: _KeyType, value_name: str | None, reserved: Unused, type: Literal[4, 5], value: int | None, / ) -> None: ... @overload # type=REG_SZ|REG_EXPAND_SZ def SetValueEx( key: _KeyType, value_name: str | None, reserved: Unused, type: Literal[1, 2], value: str | None, / ) -> None: ... @overload # type=REG_MULTI_SZ def SetValueEx( key: _KeyType, value_name: str | None, reserved: Unused, type: Literal[7], value: list[str] | None, / ) -> None: ... @overload # type=REG_BINARY and everything else def SetValueEx( key: _KeyType, value_name: str | None, reserved: Unused, type: Literal[0, 3, 8, 9, 10, 11], value: ReadableBuffer | None, /, ) -> None: ... @overload # Unknown or undocumented def SetValueEx( key: _KeyType, value_name: str | None, reserved: Unused, type: int, value: int | str | list[str] | ReadableBuffer | None, /, ) -> None: ... def DisableReflectionKey(key: _KeyType, /) -> None: ... def EnableReflectionKey(key: _KeyType, /) -> None: ... def QueryReflectionKey(key: _KeyType, /) -> bool: ... HKEY_CLASSES_ROOT: Final[int] HKEY_CURRENT_USER: Final[int] HKEY_LOCAL_MACHINE: Final[int] HKEY_USERS: Final[int] HKEY_PERFORMANCE_DATA: Final[int] HKEY_CURRENT_CONFIG: Final[int] HKEY_DYN_DATA: Final[int] KEY_ALL_ACCESS: Final = 983103 KEY_WRITE: Final = 131078 KEY_READ: Final = 131097 KEY_EXECUTE: Final = 131097 KEY_QUERY_VALUE: Final = 1 KEY_SET_VALUE: Final = 2 KEY_CREATE_SUB_KEY: Final = 4 KEY_ENUMERATE_SUB_KEYS: Final = 8 KEY_NOTIFY: Final = 16 KEY_CREATE_LINK: Final = 32 KEY_WOW64_64KEY: Final = 256 KEY_WOW64_32KEY: Final = 512 REG_BINARY: Final = 3 REG_DWORD: Final = 4 REG_DWORD_LITTLE_ENDIAN: Final = 4 REG_DWORD_BIG_ENDIAN: Final = 5 REG_EXPAND_SZ: Final = 2 REG_LINK: Final = 6 REG_MULTI_SZ: Final = 7 REG_NONE: Final = 0 REG_QWORD: Final = 11 REG_QWORD_LITTLE_ENDIAN: Final = 11 REG_RESOURCE_LIST: Final = 8 REG_FULL_RESOURCE_DESCRIPTOR: Final = 9 REG_RESOURCE_REQUIREMENTS_LIST: Final = 10 REG_SZ: Final = 1 REG_CREATED_NEW_KEY: Final = 1 # undocumented REG_LEGAL_CHANGE_FILTER: Final = 268435471 # undocumented REG_LEGAL_OPTION: Final = 31 # undocumented REG_NOTIFY_CHANGE_ATTRIBUTES: Final = 2 # undocumented REG_NOTIFY_CHANGE_LAST_SET: Final = 4 # undocumented REG_NOTIFY_CHANGE_NAME: Final = 1 # undocumented REG_NOTIFY_CHANGE_SECURITY: Final = 8 # undocumented REG_NO_LAZY_FLUSH: Final = 4 # undocumented REG_OPENED_EXISTING_KEY: Final = 2 # undocumented REG_OPTION_BACKUP_RESTORE: Final = 4 # undocumented REG_OPTION_CREATE_LINK: Final = 2 # undocumented REG_OPTION_NON_VOLATILE: Final = 0 # undocumented REG_OPTION_OPEN_LINK: Final = 8 # undocumented REG_OPTION_RESERVED: Final = 0 # undocumented REG_OPTION_VOLATILE: Final = 1 # undocumented REG_REFRESH_HIVE: Final = 2 # undocumented REG_WHOLE_HIVE_VOLATILE: Final = 1 # undocumented error = OSError # Though this class has a __name__ of PyHKEY, it's exposed as HKEYType for some reason @final class HKEYType: def __bool__(self) -> bool: ... def __int__(self) -> int: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_value: BaseException | None, traceback: TracebackType | None, / ) -> bool | None: ... def Close(self) -> None: ... def Detach(self) -> int: ... def __hash__(self) -> int: ... @property def handle(self) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/winsound.pyi0000644000175100017510000000235315112307767020757 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from typing import Final, Literal, overload if sys.platform == "win32": SND_APPLICATION: Final = 128 SND_FILENAME: Final = 131072 SND_ALIAS: Final = 65536 SND_LOOP: Final = 8 SND_MEMORY: Final = 4 SND_PURGE: Final = 64 SND_ASYNC: Final = 1 SND_NODEFAULT: Final = 2 SND_NOSTOP: Final = 16 SND_NOWAIT: Final = 8192 if sys.version_info >= (3, 14): SND_SENTRY: Final = 524288 SND_SYNC: Final = 0 SND_SYSTEM: Final = 2097152 MB_ICONASTERISK: Final = 64 MB_ICONEXCLAMATION: Final = 48 MB_ICONHAND: Final = 16 MB_ICONQUESTION: Final = 32 MB_OK: Final = 0 if sys.version_info >= (3, 14): MB_ICONERROR: Final = 16 MB_ICONINFORMATION: Final = 64 MB_ICONSTOP: Final = 16 MB_ICONWARNING: Final = 48 def Beep(frequency: int, duration: int) -> None: ... # Can actually accept anything ORed with 4, and if not it's definitely str, but that's inexpressible @overload def PlaySound(sound: ReadableBuffer | None, flags: Literal[4]) -> None: ... @overload def PlaySound(sound: str | ReadableBuffer | None, flags: int) -> None: ... def MessageBeep(type: int = 0) -> None: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6157656 mypy-1.19.0/mypy/typeshed/stdlib/wsgiref/0000755000175100017510000000000015112310012020002 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/wsgiref/__init__.pyi0000644000175100017510000000000015112307767022301 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/wsgiref/handlers.pyi0000644000175100017510000000577415112307767022371 0ustar00runnerrunnerfrom _typeshed import OptExcInfo from _typeshed.wsgi import ErrorStream, InputStream, StartResponse, WSGIApplication, WSGIEnvironment from abc import abstractmethod from collections.abc import Callable, MutableMapping from typing import IO from .headers import Headers from .util import FileWrapper __all__ = ["BaseHandler", "SimpleHandler", "BaseCGIHandler", "CGIHandler", "IISCGIHandler", "read_environ"] def format_date_time(timestamp: float | None) -> str: ... # undocumented def read_environ() -> dict[str, str]: ... class BaseHandler: wsgi_version: tuple[int, int] # undocumented wsgi_multithread: bool wsgi_multiprocess: bool wsgi_run_once: bool origin_server: bool http_version: str server_software: str | None os_environ: MutableMapping[str, str] wsgi_file_wrapper: type[FileWrapper] | None headers_class: type[Headers] # undocumented traceback_limit: int | None error_status: str error_headers: list[tuple[str, str]] error_body: bytes def run(self, application: WSGIApplication) -> None: ... def setup_environ(self) -> None: ... def finish_response(self) -> None: ... def get_scheme(self) -> str: ... def set_content_length(self) -> None: ... def cleanup_headers(self) -> None: ... def start_response( self, status: str, headers: list[tuple[str, str]], exc_info: OptExcInfo | None = None ) -> Callable[[bytes], None]: ... def send_preamble(self) -> None: ... def write(self, data: bytes) -> None: ... def sendfile(self) -> bool: ... def finish_content(self) -> None: ... def close(self) -> None: ... def send_headers(self) -> None: ... def result_is_file(self) -> bool: ... def client_is_modern(self) -> bool: ... def log_exception(self, exc_info: OptExcInfo) -> None: ... def handle_error(self) -> None: ... def error_output(self, environ: WSGIEnvironment, start_response: StartResponse) -> list[bytes]: ... @abstractmethod def _write(self, data: bytes) -> None: ... @abstractmethod def _flush(self) -> None: ... @abstractmethod def get_stdin(self) -> InputStream: ... @abstractmethod def get_stderr(self) -> ErrorStream: ... @abstractmethod def add_cgi_vars(self) -> None: ... class SimpleHandler(BaseHandler): stdin: InputStream stdout: IO[bytes] stderr: ErrorStream base_env: MutableMapping[str, str] def __init__( self, stdin: InputStream, stdout: IO[bytes], stderr: ErrorStream, environ: MutableMapping[str, str], multithread: bool = True, multiprocess: bool = False, ) -> None: ... def get_stdin(self) -> InputStream: ... def get_stderr(self) -> ErrorStream: ... def add_cgi_vars(self) -> None: ... def _write(self, data: bytes) -> None: ... def _flush(self) -> None: ... class BaseCGIHandler(SimpleHandler): ... class CGIHandler(BaseCGIHandler): def __init__(self) -> None: ... class IISCGIHandler(BaseCGIHandler): def __init__(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/wsgiref/headers.pyi0000644000175100017510000000203215112307767022164 0ustar00runnerrunnerfrom re import Pattern from typing import Final, overload from typing_extensions import TypeAlias _HeaderList: TypeAlias = list[tuple[str, str]] tspecials: Final[Pattern[str]] # undocumented class Headers: def __init__(self, headers: _HeaderList | None = None) -> None: ... def __len__(self) -> int: ... def __setitem__(self, name: str, val: str) -> None: ... def __delitem__(self, name: str) -> None: ... def __getitem__(self, name: str) -> str | None: ... def __contains__(self, name: str) -> bool: ... def get_all(self, name: str) -> list[str]: ... @overload def get(self, name: str, default: str) -> str: ... @overload def get(self, name: str, default: str | None = None) -> str | None: ... def keys(self) -> list[str]: ... def values(self) -> list[str]: ... def items(self) -> _HeaderList: ... def __bytes__(self) -> bytes: ... def setdefault(self, name: str, value: str) -> str: ... def add_header(self, _name: str, _value: str | None, **_params: str | None) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/wsgiref/simple_server.pyi0000644000175100017510000000262215112307767023435 0ustar00runnerrunnerfrom _typeshed.wsgi import ErrorStream, StartResponse, WSGIApplication, WSGIEnvironment from http.server import BaseHTTPRequestHandler, HTTPServer from typing import Final, TypeVar, overload from .handlers import SimpleHandler __all__ = ["WSGIServer", "WSGIRequestHandler", "demo_app", "make_server"] server_version: Final[str] # undocumented sys_version: Final[str] # undocumented software_version: Final[str] # undocumented class ServerHandler(SimpleHandler): # undocumented server_software: str class WSGIServer(HTTPServer): application: WSGIApplication | None base_environ: WSGIEnvironment # only available after call to setup_environ() def setup_environ(self) -> None: ... def get_app(self) -> WSGIApplication | None: ... def set_app(self, application: WSGIApplication | None) -> None: ... class WSGIRequestHandler(BaseHTTPRequestHandler): server_version: str def get_environ(self) -> WSGIEnvironment: ... def get_stderr(self) -> ErrorStream: ... def demo_app(environ: WSGIEnvironment, start_response: StartResponse) -> list[bytes]: ... _S = TypeVar("_S", bound=WSGIServer) @overload def make_server(host: str, port: int, app: WSGIApplication, *, handler_class: type[WSGIRequestHandler] = ...) -> WSGIServer: ... @overload def make_server( host: str, port: int, app: WSGIApplication, server_class: type[_S], handler_class: type[WSGIRequestHandler] = ... ) -> _S: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/wsgiref/types.pyi0000644000175100017510000000236015112307767021721 0ustar00runnerrunnerfrom _typeshed import OptExcInfo from collections.abc import Callable, Iterable, Iterator from typing import Any, Protocol from typing_extensions import TypeAlias __all__ = ["StartResponse", "WSGIEnvironment", "WSGIApplication", "InputStream", "ErrorStream", "FileWrapper"] class StartResponse(Protocol): def __call__( self, status: str, headers: list[tuple[str, str]], exc_info: OptExcInfo | None = ..., / ) -> Callable[[bytes], object]: ... WSGIEnvironment: TypeAlias = dict[str, Any] WSGIApplication: TypeAlias = Callable[[WSGIEnvironment, StartResponse], Iterable[bytes]] class InputStream(Protocol): def read(self, size: int = ..., /) -> bytes: ... def readline(self, size: int = ..., /) -> bytes: ... def readlines(self, hint: int = ..., /) -> list[bytes]: ... def __iter__(self) -> Iterator[bytes]: ... class ErrorStream(Protocol): def flush(self) -> object: ... def write(self, s: str, /) -> object: ... def writelines(self, seq: list[str], /) -> object: ... class _Readable(Protocol): def read(self, size: int = ..., /) -> bytes: ... # Optional: def close(self) -> object: ... class FileWrapper(Protocol): def __call__(self, file: _Readable, block_size: int = ..., /) -> Iterable[bytes]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/wsgiref/util.pyi0000644000175100017510000000204415112307767021531 0ustar00runnerrunnerimport sys from _typeshed.wsgi import WSGIEnvironment from collections.abc import Callable from typing import IO, Any __all__ = ["FileWrapper", "guess_scheme", "application_uri", "request_uri", "shift_path_info", "setup_testing_defaults"] if sys.version_info >= (3, 13): __all__ += ["is_hop_by_hop"] class FileWrapper: filelike: IO[bytes] blksize: int close: Callable[[], None] # only exists if filelike.close exists def __init__(self, filelike: IO[bytes], blksize: int = 8192) -> None: ... if sys.version_info < (3, 11): def __getitem__(self, key: Any) -> bytes: ... def __iter__(self) -> FileWrapper: ... def __next__(self) -> bytes: ... def guess_scheme(environ: WSGIEnvironment) -> str: ... def application_uri(environ: WSGIEnvironment) -> str: ... def request_uri(environ: WSGIEnvironment, include_query: bool = True) -> str: ... def shift_path_info(environ: WSGIEnvironment) -> str | None: ... def setup_testing_defaults(environ: WSGIEnvironment) -> None: ... def is_hop_by_hop(header_name: str) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/wsgiref/validate.pyi0000644000175100017510000000331115112307767022343 0ustar00runnerrunnerfrom _typeshed.wsgi import ErrorStream, InputStream, WSGIApplication from collections.abc import Callable, Iterable, Iterator from typing import Any, NoReturn from typing_extensions import TypeAlias __all__ = ["validator"] class WSGIWarning(Warning): ... def validator(application: WSGIApplication) -> WSGIApplication: ... class InputWrapper: input: InputStream def __init__(self, wsgi_input: InputStream) -> None: ... def read(self, size: int) -> bytes: ... def readline(self, size: int = ...) -> bytes: ... def readlines(self, hint: int = ...) -> bytes: ... def __iter__(self) -> Iterator[bytes]: ... def close(self) -> NoReturn: ... class ErrorWrapper: errors: ErrorStream def __init__(self, wsgi_errors: ErrorStream) -> None: ... def write(self, s: str) -> None: ... def flush(self) -> None: ... def writelines(self, seq: Iterable[str]) -> None: ... def close(self) -> NoReturn: ... _WriterCallback: TypeAlias = Callable[[bytes], Any] class WriteWrapper: writer: _WriterCallback def __init__(self, wsgi_writer: _WriterCallback) -> None: ... def __call__(self, s: bytes) -> None: ... class PartialIteratorWrapper: iterator: Iterator[bytes] def __init__(self, wsgi_iterator: Iterator[bytes]) -> None: ... def __iter__(self) -> IteratorWrapper: ... class IteratorWrapper: original_iterator: Iterator[bytes] iterator: Iterator[bytes] closed: bool check_start_response: bool | None def __init__(self, wsgi_iterator: Iterator[bytes], check_start_response: bool | None) -> None: ... def __iter__(self) -> IteratorWrapper: ... def __next__(self) -> bytes: ... def close(self) -> None: ... def __del__(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xdrlib.pyi0000644000175100017510000000450015112307767020371 0ustar00runnerrunnerfrom collections.abc import Callable, Sequence from typing import TypeVar __all__ = ["Error", "Packer", "Unpacker", "ConversionError"] _T = TypeVar("_T") class Error(Exception): msg: str def __init__(self, msg: str) -> None: ... class ConversionError(Error): ... class Packer: def reset(self) -> None: ... def get_buffer(self) -> bytes: ... def get_buf(self) -> bytes: ... def pack_uint(self, x: int) -> None: ... def pack_int(self, x: int) -> None: ... def pack_enum(self, x: int) -> None: ... def pack_bool(self, x: bool) -> None: ... def pack_uhyper(self, x: int) -> None: ... def pack_hyper(self, x: int) -> None: ... def pack_float(self, x: float) -> None: ... def pack_double(self, x: float) -> None: ... def pack_fstring(self, n: int, s: bytes) -> None: ... def pack_fopaque(self, n: int, s: bytes) -> None: ... def pack_string(self, s: bytes) -> None: ... def pack_opaque(self, s: bytes) -> None: ... def pack_bytes(self, s: bytes) -> None: ... def pack_list(self, list: Sequence[_T], pack_item: Callable[[_T], object]) -> None: ... def pack_farray(self, n: int, list: Sequence[_T], pack_item: Callable[[_T], object]) -> None: ... def pack_array(self, list: Sequence[_T], pack_item: Callable[[_T], object]) -> None: ... class Unpacker: def __init__(self, data: bytes) -> None: ... def reset(self, data: bytes) -> None: ... def get_position(self) -> int: ... def set_position(self, position: int) -> None: ... def get_buffer(self) -> bytes: ... def done(self) -> None: ... def unpack_uint(self) -> int: ... def unpack_int(self) -> int: ... def unpack_enum(self) -> int: ... def unpack_bool(self) -> bool: ... def unpack_uhyper(self) -> int: ... def unpack_hyper(self) -> int: ... def unpack_float(self) -> float: ... def unpack_double(self) -> float: ... def unpack_fstring(self, n: int) -> bytes: ... def unpack_fopaque(self, n: int) -> bytes: ... def unpack_string(self) -> bytes: ... def unpack_opaque(self) -> bytes: ... def unpack_bytes(self) -> bytes: ... def unpack_list(self, unpack_item: Callable[[], _T]) -> list[_T]: ... def unpack_farray(self, n: int, unpack_item: Callable[[], _T]) -> list[_T]: ... def unpack_array(self, unpack_item: Callable[[], _T]) -> list[_T]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6157656 mypy-1.19.0/mypy/typeshed/stdlib/xml/0000755000175100017510000000000015112310012017134 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/__init__.pyi0000644000175100017510000000037115112307767021446 0ustar00runnerrunner# At runtime, listing submodules in __all__ without them being imported is # valid, and causes them to be included in a star import. See #6523 __all__ = ["dom", "parsers", "sax", "etree"] # noqa: F822 # pyright: ignore[reportUnsupportedDunderAll] ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6177657 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/0000755000175100017510000000000015112310012017713 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/NodeFilter.pyi0000644000175100017510000000133715112307767022524 0ustar00runnerrunnerfrom typing import Final from xml.dom.minidom import Node class NodeFilter: FILTER_ACCEPT: Final = 1 FILTER_REJECT: Final = 2 FILTER_SKIP: Final = 3 SHOW_ALL: Final = 0xFFFFFFFF SHOW_ELEMENT: Final = 0x00000001 SHOW_ATTRIBUTE: Final = 0x00000002 SHOW_TEXT: Final = 0x00000004 SHOW_CDATA_SECTION: Final = 0x00000008 SHOW_ENTITY_REFERENCE: Final = 0x00000010 SHOW_ENTITY: Final = 0x00000020 SHOW_PROCESSING_INSTRUCTION: Final = 0x00000040 SHOW_COMMENT: Final = 0x00000080 SHOW_DOCUMENT: Final = 0x00000100 SHOW_DOCUMENT_TYPE: Final = 0x00000200 SHOW_DOCUMENT_FRAGMENT: Final = 0x00000400 SHOW_NOTATION: Final = 0x00000800 def acceptNode(self, node: Node) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/__init__.pyi0000644000175100017510000000476415112307767022237 0ustar00runnerrunnerfrom typing import Any, Final, Literal from .domreg import getDOMImplementation as getDOMImplementation, registerDOMImplementation as registerDOMImplementation class Node: __slots__ = () ELEMENT_NODE: Final = 1 ATTRIBUTE_NODE: Final = 2 TEXT_NODE: Final = 3 CDATA_SECTION_NODE: Final = 4 ENTITY_REFERENCE_NODE: Final = 5 ENTITY_NODE: Final = 6 PROCESSING_INSTRUCTION_NODE: Final = 7 COMMENT_NODE: Final = 8 DOCUMENT_NODE: Final = 9 DOCUMENT_TYPE_NODE: Final = 10 DOCUMENT_FRAGMENT_NODE: Final = 11 NOTATION_NODE: Final = 12 # ExceptionCode INDEX_SIZE_ERR: Final = 1 DOMSTRING_SIZE_ERR: Final = 2 HIERARCHY_REQUEST_ERR: Final = 3 WRONG_DOCUMENT_ERR: Final = 4 INVALID_CHARACTER_ERR: Final = 5 NO_DATA_ALLOWED_ERR: Final = 6 NO_MODIFICATION_ALLOWED_ERR: Final = 7 NOT_FOUND_ERR: Final = 8 NOT_SUPPORTED_ERR: Final = 9 INUSE_ATTRIBUTE_ERR: Final = 10 INVALID_STATE_ERR: Final = 11 SYNTAX_ERR: Final = 12 INVALID_MODIFICATION_ERR: Final = 13 NAMESPACE_ERR: Final = 14 INVALID_ACCESS_ERR: Final = 15 VALIDATION_ERR: Final = 16 class DOMException(Exception): code: int def __init__(self, *args: Any, **kw: Any) -> None: ... def _get_code(self) -> int: ... class IndexSizeErr(DOMException): code: Literal[1] class DomstringSizeErr(DOMException): code: Literal[2] class HierarchyRequestErr(DOMException): code: Literal[3] class WrongDocumentErr(DOMException): code: Literal[4] class InvalidCharacterErr(DOMException): code: Literal[5] class NoDataAllowedErr(DOMException): code: Literal[6] class NoModificationAllowedErr(DOMException): code: Literal[7] class NotFoundErr(DOMException): code: Literal[8] class NotSupportedErr(DOMException): code: Literal[9] class InuseAttributeErr(DOMException): code: Literal[10] class InvalidStateErr(DOMException): code: Literal[11] class SyntaxErr(DOMException): code: Literal[12] class InvalidModificationErr(DOMException): code: Literal[13] class NamespaceErr(DOMException): code: Literal[14] class InvalidAccessErr(DOMException): code: Literal[15] class ValidationErr(DOMException): code: Literal[16] class UserDataHandler: NODE_CLONED: Final = 1 NODE_IMPORTED: Final = 2 NODE_DELETED: Final = 3 NODE_RENAMED: Final = 4 XML_NAMESPACE: Final = "http://www.w3.org/XML/1998/namespace" XMLNS_NAMESPACE: Final = "http://www.w3.org/2000/xmlns/" XHTML_NAMESPACE: Final = "http://www.w3.org/1999/xhtml" EMPTY_NAMESPACE: Final[None] EMPTY_PREFIX: Final[None] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/domreg.pyi0000644000175100017510000000064215112307767021744 0ustar00runnerrunnerfrom _typeshed.xml import DOMImplementation from collections.abc import Callable, Iterable well_known_implementations: dict[str, str] registered: dict[str, Callable[[], DOMImplementation]] def registerDOMImplementation(name: str, factory: Callable[[], DOMImplementation]) -> None: ... def getDOMImplementation(name: str | None = None, features: str | Iterable[tuple[str, str | None]] = ()) -> DOMImplementation: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/expatbuilder.pyi0000644000175100017510000001452715112307767023166 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer, SupportsRead from typing import Any, Final, NoReturn from typing_extensions import TypeAlias from xml.dom.minidom import Document, DocumentFragment, DOMImplementation, Element, Node, TypeInfo from xml.dom.xmlbuilder import DOMBuilderFilter, Options from xml.parsers.expat import XMLParserType _Model: TypeAlias = tuple[int, int, str | None, tuple[Any, ...]] # same as in pyexpat TEXT_NODE: Final = Node.TEXT_NODE CDATA_SECTION_NODE: Final = Node.CDATA_SECTION_NODE DOCUMENT_NODE: Final = Node.DOCUMENT_NODE FILTER_ACCEPT: Final = DOMBuilderFilter.FILTER_ACCEPT FILTER_REJECT: Final = DOMBuilderFilter.FILTER_REJECT FILTER_SKIP: Final = DOMBuilderFilter.FILTER_SKIP FILTER_INTERRUPT: Final = DOMBuilderFilter.FILTER_INTERRUPT theDOMImplementation: DOMImplementation class ElementInfo: __slots__ = ("_attr_info", "_model", "tagName") tagName: str def __init__(self, tagName: str, model: _Model | None = None) -> None: ... def getAttributeType(self, aname: str) -> TypeInfo: ... def getAttributeTypeNS(self, namespaceURI: str | None, localName: str) -> TypeInfo: ... def isElementContent(self) -> bool: ... def isEmpty(self) -> bool: ... def isId(self, aname: str) -> bool: ... def isIdNS(self, euri: str, ename: str, auri: str, aname: str) -> bool: ... class ExpatBuilder: document: Document # Created in self.reset() curNode: DocumentFragment | Element | Document # Created in self.reset() def __init__(self, options: Options | None = None) -> None: ... def createParser(self) -> XMLParserType: ... def getParser(self) -> XMLParserType: ... def reset(self) -> None: ... def install(self, parser: XMLParserType) -> None: ... def parseFile(self, file: SupportsRead[ReadableBuffer | str]) -> Document: ... def parseString(self, string: str | ReadableBuffer) -> Document: ... def start_doctype_decl_handler( self, doctypeName: str, systemId: str | None, publicId: str | None, has_internal_subset: bool ) -> None: ... def end_doctype_decl_handler(self) -> None: ... def pi_handler(self, target: str, data: str) -> None: ... def character_data_handler_cdata(self, data: str) -> None: ... def character_data_handler(self, data: str) -> None: ... def start_cdata_section_handler(self) -> None: ... def end_cdata_section_handler(self) -> None: ... def entity_decl_handler( self, entityName: str, is_parameter_entity: bool, value: str | None, base: str | None, systemId: str, publicId: str | None, notationName: str | None, ) -> None: ... def notation_decl_handler(self, notationName: str, base: str | None, systemId: str, publicId: str | None) -> None: ... def comment_handler(self, data: str) -> None: ... def external_entity_ref_handler(self, context: str, base: str | None, systemId: str | None, publicId: str | None) -> int: ... def first_element_handler(self, name: str, attributes: list[str]) -> None: ... def start_element_handler(self, name: str, attributes: list[str]) -> None: ... def end_element_handler(self, name: str) -> None: ... def element_decl_handler(self, name: str, model: _Model) -> None: ... def attlist_decl_handler(self, elem: str, name: str, type: str, default: str | None, required: bool) -> None: ... def xml_decl_handler(self, version: str, encoding: str | None, standalone: int) -> None: ... class FilterVisibilityController: __slots__ = ("filter",) filter: DOMBuilderFilter def __init__(self, filter: DOMBuilderFilter) -> None: ... def startContainer(self, node: Node) -> int: ... def acceptNode(self, node: Node) -> int: ... class FilterCrutch: __slots__ = ("_builder", "_level", "_old_start", "_old_end") def __init__(self, builder: ExpatBuilder) -> None: ... class Rejecter(FilterCrutch): __slots__ = () def start_element_handler(self, *args: Any) -> None: ... def end_element_handler(self, *args: Any) -> None: ... class Skipper(FilterCrutch): __slots__ = () def start_element_handler(self, *args: Any) -> None: ... def end_element_handler(self, *args: Any) -> None: ... class FragmentBuilder(ExpatBuilder): fragment: DocumentFragment | None originalDocument: Document context: Node def __init__(self, context: Node, options: Options | None = None) -> None: ... def reset(self) -> None: ... def parseFile(self, file: SupportsRead[ReadableBuffer | str]) -> DocumentFragment: ... # type: ignore[override] def parseString(self, string: ReadableBuffer | str) -> DocumentFragment: ... # type: ignore[override] def external_entity_ref_handler(self, context: str, base: str | None, systemId: str | None, publicId: str | None) -> int: ... class Namespaces: def createParser(self) -> XMLParserType: ... def install(self, parser: XMLParserType) -> None: ... def start_namespace_decl_handler(self, prefix: str | None, uri: str) -> None: ... def start_element_handler(self, name: str, attributes: list[str]) -> None: ... def end_element_handler(self, name: str) -> None: ... # only exists if __debug__ class ExpatBuilderNS(Namespaces, ExpatBuilder): ... class FragmentBuilderNS(Namespaces, FragmentBuilder): ... class ParseEscape(Exception): ... class InternalSubsetExtractor(ExpatBuilder): subset: str | list[str] | None = None def getSubset(self) -> str: ... def parseFile(self, file: SupportsRead[ReadableBuffer | str]) -> None: ... # type: ignore[override] def parseString(self, string: str | ReadableBuffer) -> None: ... # type: ignore[override] def start_doctype_decl_handler( # type: ignore[override] self, name: str, publicId: str | None, systemId: str | None, has_internal_subset: bool ) -> None: ... def end_doctype_decl_handler(self) -> NoReturn: ... def start_element_handler(self, name: str, attrs: list[str]) -> NoReturn: ... def parse(file: str | SupportsRead[ReadableBuffer | str], namespaces: bool = True) -> Document: ... def parseString(string: str | ReadableBuffer, namespaces: bool = True) -> Document: ... def parseFragment(file: str | SupportsRead[ReadableBuffer | str], context: Node, namespaces: bool = True) -> DocumentFragment: ... def parseFragmentString(string: str | ReadableBuffer, context: Node, namespaces: bool = True) -> DocumentFragment: ... def makeBuilder(options: Options) -> ExpatBuilderNS | ExpatBuilder: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/minicompat.pyi0000644000175100017510000000131415112307767022624 0ustar00runnerrunnerfrom collections.abc import Iterable from typing import Any, Literal, TypeVar __all__ = ["NodeList", "EmptyNodeList", "StringTypes", "defproperty"] _T = TypeVar("_T") StringTypes: tuple[type[str]] class NodeList(list[_T]): __slots__ = () @property def length(self) -> int: ... def item(self, index: int) -> _T | None: ... class EmptyNodeList(tuple[()]): __slots__ = () @property def length(self) -> Literal[0]: ... def item(self, index: int) -> None: ... def __add__(self, other: Iterable[_T]) -> NodeList[_T]: ... # type: ignore[override] def __radd__(self, other: Iterable[_T]) -> NodeList[_T]: ... def defproperty(klass: type[Any], name: str, doc: str) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/minidom.pyi0000644000175100017510000007000215112307767022120 0ustar00runnerrunnerimport xml.dom from _collections_abc import dict_keys, dict_values from _typeshed import Incomplete, ReadableBuffer, SupportsRead, SupportsWrite from collections.abc import Iterable, Sequence from types import TracebackType from typing import Any, ClassVar, Generic, Literal, NoReturn, Protocol, TypeVar, overload, type_check_only from typing_extensions import Self, TypeAlias from xml.dom.minicompat import EmptyNodeList, NodeList from xml.dom.xmlbuilder import DocumentLS, DOMImplementationLS from xml.sax.xmlreader import XMLReader _NSName: TypeAlias = tuple[str | None, str] # Entity can also have children, but it's not implemented the same way as the # others, so is deliberately omitted here. _NodesWithChildren: TypeAlias = DocumentFragment | Attr | Element | Document _NodesThatAreChildren: TypeAlias = CDATASection | Comment | DocumentType | Element | Notation | ProcessingInstruction | Text _AttrChildren: TypeAlias = Text # Also EntityReference, but we don't implement it _ElementChildren: TypeAlias = Element | ProcessingInstruction | Comment | Text | CDATASection _EntityChildren: TypeAlias = Text # I think; documentation is a little unclear _DocumentFragmentChildren: TypeAlias = Element | Text | CDATASection | ProcessingInstruction | Comment | Notation _DocumentChildren: TypeAlias = Comment | DocumentType | Element | ProcessingInstruction _N = TypeVar("_N", bound=Node) _ChildNodeVar = TypeVar("_ChildNodeVar", bound=_NodesThatAreChildren) _ChildNodePlusFragmentVar = TypeVar("_ChildNodePlusFragmentVar", bound=_NodesThatAreChildren | DocumentFragment) _DocumentChildrenVar = TypeVar("_DocumentChildrenVar", bound=_DocumentChildren) _ImportableNodeVar = TypeVar( "_ImportableNodeVar", bound=DocumentFragment | Attr | Element | ProcessingInstruction | CharacterData | Text | Comment | CDATASection | Entity | Notation, ) @type_check_only class _DOMErrorHandler(Protocol): def handleError(self, error: Exception) -> bool: ... @type_check_only class _UserDataHandler(Protocol): def handle(self, operation: int, key: str, data: Any, src: Node, dst: Node) -> None: ... def parse( file: str | SupportsRead[ReadableBuffer | str], parser: XMLReader | None = None, bufsize: int | None = None ) -> Document: ... def parseString(string: str | ReadableBuffer, parser: XMLReader | None = None) -> Document: ... @overload def getDOMImplementation(features: None = None) -> DOMImplementation: ... @overload def getDOMImplementation(features: str | Iterable[tuple[str, str | None]]) -> DOMImplementation | None: ... class Node(xml.dom.Node): parentNode: _NodesWithChildren | Entity | None ownerDocument: Document | None nextSibling: _NodesThatAreChildren | None previousSibling: _NodesThatAreChildren | None namespaceURI: str | None # non-null only for Element and Attr prefix: str | None # non-null only for NS Element and Attr # These aren't defined on Node, but they exist on all Node subclasses # and various methods of Node require them to exist. childNodes: ( NodeList[_DocumentFragmentChildren] | NodeList[_AttrChildren] | NodeList[_ElementChildren] | NodeList[_DocumentChildren] | NodeList[_EntityChildren] | EmptyNodeList ) nodeType: ClassVar[Literal[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]] nodeName: str | None # only possibly None on DocumentType # Not defined on Node, but exist on all Node subclasses. nodeValue: str | None # non-null for Attr, ProcessingInstruction, Text, Comment, and CDATASection attributes: NamedNodeMap | None # non-null only for Element @property def firstChild(self) -> _NodesThatAreChildren | None: ... @property def lastChild(self) -> _NodesThatAreChildren | None: ... @property def localName(self) -> str | None: ... # non-null only for Element and Attr def __bool__(self) -> Literal[True]: ... @overload def toxml(self, encoding: str, standalone: bool | None = None) -> bytes: ... @overload def toxml(self, encoding: None = None, standalone: bool | None = None) -> str: ... @overload def toprettyxml( self, indent: str = "\t", newl: str = "\n", # Handle any case where encoding is not provided or where it is passed with None encoding: None = None, standalone: bool | None = None, ) -> str: ... @overload def toprettyxml( self, indent: str, newl: str, # Handle cases where encoding is passed as str *positionally* encoding: str, standalone: bool | None = None, ) -> bytes: ... @overload def toprettyxml( self, indent: str = "\t", newl: str = "\n", # Handle all cases where encoding is passed as a keyword argument; because standalone # comes after, it will also have to be a keyword arg if encoding is *, encoding: str, standalone: bool | None = None, ) -> bytes: ... def hasChildNodes(self) -> bool: ... def insertBefore( # type: ignore[misc] self: _NodesWithChildren, # pyright: ignore[reportGeneralTypeIssues] newChild: _ChildNodePlusFragmentVar, refChild: _NodesThatAreChildren | None, ) -> _ChildNodePlusFragmentVar: ... def appendChild( # type: ignore[misc] self: _NodesWithChildren, node: _ChildNodePlusFragmentVar # pyright: ignore[reportGeneralTypeIssues] ) -> _ChildNodePlusFragmentVar: ... @overload def replaceChild( # type: ignore[misc] self: _NodesWithChildren, newChild: DocumentFragment, oldChild: _ChildNodeVar ) -> _ChildNodeVar | DocumentFragment: ... @overload def replaceChild( # type: ignore[misc] self: _NodesWithChildren, newChild: _NodesThatAreChildren, oldChild: _ChildNodeVar ) -> _ChildNodeVar | None: ... def removeChild(self: _NodesWithChildren, oldChild: _ChildNodeVar) -> _ChildNodeVar: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def normalize(self: _NodesWithChildren) -> None: ... # type: ignore[misc] # pyright: ignore[reportGeneralTypeIssues] def cloneNode(self, deep: bool) -> Self | None: ... def isSupported(self, feature: str, version: str | None) -> bool: ... def isSameNode(self, other: Node) -> bool: ... def getInterface(self, feature: str) -> Self | None: ... def getUserData(self, key: str) -> Any | None: ... def setUserData(self, key: str, data: Any, handler: _UserDataHandler) -> Any: ... def unlink(self) -> None: ... def __enter__(self) -> Self: ... def __exit__(self, et: type[BaseException] | None, ev: BaseException | None, tb: TracebackType | None) -> None: ... _DFChildrenVar = TypeVar("_DFChildrenVar", bound=_DocumentFragmentChildren) _DFChildrenPlusFragment = TypeVar("_DFChildrenPlusFragment", bound=_DocumentFragmentChildren | DocumentFragment) class DocumentFragment(Node): nodeType: ClassVar[Literal[11]] nodeName: Literal["#document-fragment"] nodeValue: None attributes: None parentNode: None nextSibling: None previousSibling: None childNodes: NodeList[_DocumentFragmentChildren] @property def firstChild(self) -> _DocumentFragmentChildren | None: ... @property def lastChild(self) -> _DocumentFragmentChildren | None: ... namespaceURI: None prefix: None @property def localName(self) -> None: ... def __init__(self) -> None: ... def insertBefore( # type: ignore[override] self, newChild: _DFChildrenPlusFragment, refChild: _DocumentFragmentChildren | None ) -> _DFChildrenPlusFragment: ... def appendChild(self, node: _DFChildrenPlusFragment) -> _DFChildrenPlusFragment: ... # type: ignore[override] @overload # type: ignore[override] def replaceChild(self, newChild: DocumentFragment, oldChild: _DFChildrenVar) -> _DFChildrenVar | DocumentFragment: ... @overload def replaceChild(self, newChild: _DocumentFragmentChildren, oldChild: _DFChildrenVar) -> _DFChildrenVar | None: ... # type: ignore[override] def removeChild(self, oldChild: _DFChildrenVar) -> _DFChildrenVar: ... # type: ignore[override] _AttrChildrenVar = TypeVar("_AttrChildrenVar", bound=_AttrChildren) _AttrChildrenPlusFragment = TypeVar("_AttrChildrenPlusFragment", bound=_AttrChildren | DocumentFragment) class Attr(Node): __slots__ = ("_name", "_value", "namespaceURI", "_prefix", "childNodes", "_localName", "ownerDocument", "ownerElement") nodeType: ClassVar[Literal[2]] nodeName: str # same as Attr.name nodeValue: str # same as Attr.value attributes: None parentNode: None nextSibling: None previousSibling: None childNodes: NodeList[_AttrChildren] @property def firstChild(self) -> _AttrChildren | None: ... @property def lastChild(self) -> _AttrChildren | None: ... namespaceURI: str | None prefix: str | None @property def localName(self) -> str: ... name: str value: str specified: bool ownerElement: Element | None def __init__( self, qName: str, namespaceURI: str | None = None, localName: str | None = None, prefix: str | None = None ) -> None: ... def unlink(self) -> None: ... @property def isId(self) -> bool: ... @property def schemaType(self) -> TypeInfo: ... def insertBefore(self, newChild: _AttrChildrenPlusFragment, refChild: _AttrChildren | None) -> _AttrChildrenPlusFragment: ... # type: ignore[override] def appendChild(self, node: _AttrChildrenPlusFragment) -> _AttrChildrenPlusFragment: ... # type: ignore[override] @overload # type: ignore[override] def replaceChild(self, newChild: DocumentFragment, oldChild: _AttrChildrenVar) -> _AttrChildrenVar | DocumentFragment: ... @overload def replaceChild(self, newChild: _AttrChildren, oldChild: _AttrChildrenVar) -> _AttrChildrenVar | None: ... # type: ignore[override] def removeChild(self, oldChild: _AttrChildrenVar) -> _AttrChildrenVar: ... # type: ignore[override] # In the DOM, this interface isn't specific to Attr, but our implementation is # because that's the only place we use it. class NamedNodeMap: __slots__ = ("_attrs", "_attrsNS", "_ownerElement") def __init__(self, attrs: dict[str, Attr], attrsNS: dict[_NSName, Attr], ownerElement: Element) -> None: ... @property def length(self) -> int: ... def item(self, index: int) -> Node | None: ... def items(self) -> list[tuple[str, str]]: ... def itemsNS(self) -> list[tuple[_NSName, str]]: ... def __contains__(self, key: str | _NSName) -> bool: ... def keys(self) -> dict_keys[str, Attr]: ... def keysNS(self) -> dict_keys[_NSName, Attr]: ... def values(self) -> dict_values[str, Attr]: ... def get(self, name: str, value: Attr | None = None) -> Attr | None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __len__(self) -> int: ... def __eq__(self, other: object) -> bool: ... def __ge__(self, other: NamedNodeMap) -> bool: ... def __gt__(self, other: NamedNodeMap) -> bool: ... def __le__(self, other: NamedNodeMap) -> bool: ... def __lt__(self, other: NamedNodeMap) -> bool: ... def __getitem__(self, attname_or_tuple: _NSName | str) -> Attr: ... def __setitem__(self, attname: str, value: Attr | str) -> None: ... def getNamedItem(self, name: str) -> Attr | None: ... def getNamedItemNS(self, namespaceURI: str | None, localName: str) -> Attr | None: ... def removeNamedItem(self, name: str) -> Attr: ... def removeNamedItemNS(self, namespaceURI: str | None, localName: str) -> Attr: ... def setNamedItem(self, node: Attr) -> Attr | None: ... def setNamedItemNS(self, node: Attr) -> Attr | None: ... def __delitem__(self, attname_or_tuple: _NSName | str) -> None: ... AttributeList = NamedNodeMap class TypeInfo: __slots__ = ("namespace", "name") namespace: str | None name: str | None def __init__(self, namespace: Incomplete | None, name: str | None) -> None: ... _ElementChildrenVar = TypeVar("_ElementChildrenVar", bound=_ElementChildren) _ElementChildrenPlusFragment = TypeVar("_ElementChildrenPlusFragment", bound=_ElementChildren | DocumentFragment) class Element(Node): __slots__ = ( "ownerDocument", "parentNode", "tagName", "nodeName", "prefix", "namespaceURI", "_localName", "childNodes", "_attrs", "_attrsNS", "nextSibling", "previousSibling", ) nodeType: ClassVar[Literal[1]] nodeName: str # same as Element.tagName nodeValue: None @property def attributes(self) -> NamedNodeMap: ... # type: ignore[override] parentNode: Document | Element | DocumentFragment | None nextSibling: _DocumentChildren | _ElementChildren | _DocumentFragmentChildren | None previousSibling: _DocumentChildren | _ElementChildren | _DocumentFragmentChildren | None childNodes: NodeList[_ElementChildren] @property def firstChild(self) -> _ElementChildren | None: ... @property def lastChild(self) -> _ElementChildren | None: ... namespaceURI: str | None prefix: str | None @property def localName(self) -> str: ... schemaType: TypeInfo tagName: str def __init__( self, tagName: str, namespaceURI: str | None = None, prefix: str | None = None, localName: str | None = None ) -> None: ... def unlink(self) -> None: ... def getAttribute(self, attname: str) -> str: ... def getAttributeNS(self, namespaceURI: str | None, localName: str) -> str: ... def setAttribute(self, attname: str, value: str) -> None: ... def setAttributeNS(self, namespaceURI: str | None, qualifiedName: str, value: str) -> None: ... def getAttributeNode(self, attrname: str) -> Attr | None: ... def getAttributeNodeNS(self, namespaceURI: str | None, localName: str) -> Attr | None: ... def setAttributeNode(self, attr: Attr) -> Attr | None: ... setAttributeNodeNS = setAttributeNode def removeAttribute(self, name: str) -> None: ... def removeAttributeNS(self, namespaceURI: str | None, localName: str) -> None: ... def removeAttributeNode(self, node: Attr) -> Attr: ... removeAttributeNodeNS = removeAttributeNode def hasAttribute(self, name: str) -> bool: ... def hasAttributeNS(self, namespaceURI: str | None, localName: str) -> bool: ... def getElementsByTagName(self, name: str) -> NodeList[Element]: ... def getElementsByTagNameNS(self, namespaceURI: str | None, localName: str) -> NodeList[Element]: ... def writexml(self, writer: SupportsWrite[str], indent: str = "", addindent: str = "", newl: str = "") -> None: ... def hasAttributes(self) -> bool: ... def setIdAttribute(self, name: str) -> None: ... def setIdAttributeNS(self, namespaceURI: str | None, localName: str) -> None: ... def setIdAttributeNode(self, idAttr: Attr) -> None: ... def insertBefore( # type: ignore[override] self, newChild: _ElementChildrenPlusFragment, refChild: _ElementChildren | None ) -> _ElementChildrenPlusFragment: ... def appendChild(self, node: _ElementChildrenPlusFragment) -> _ElementChildrenPlusFragment: ... # type: ignore[override] @overload # type: ignore[override] def replaceChild( self, newChild: DocumentFragment, oldChild: _ElementChildrenVar ) -> _ElementChildrenVar | DocumentFragment: ... @overload def replaceChild(self, newChild: _ElementChildren, oldChild: _ElementChildrenVar) -> _ElementChildrenVar | None: ... # type: ignore[override] def removeChild(self, oldChild: _ElementChildrenVar) -> _ElementChildrenVar: ... # type: ignore[override] class Childless: __slots__ = () attributes: None childNodes: EmptyNodeList @property def firstChild(self) -> None: ... @property def lastChild(self) -> None: ... def appendChild(self, node: _NodesThatAreChildren | DocumentFragment) -> NoReturn: ... def hasChildNodes(self) -> Literal[False]: ... def insertBefore( self, newChild: _NodesThatAreChildren | DocumentFragment, refChild: _NodesThatAreChildren | None ) -> NoReturn: ... def removeChild(self, oldChild: _NodesThatAreChildren) -> NoReturn: ... def normalize(self) -> None: ... def replaceChild(self, newChild: _NodesThatAreChildren | DocumentFragment, oldChild: _NodesThatAreChildren) -> NoReturn: ... class ProcessingInstruction(Childless, Node): __slots__ = ("target", "data") nodeType: ClassVar[Literal[7]] nodeName: str # same as ProcessingInstruction.target nodeValue: str # same as ProcessingInstruction.data attributes: None parentNode: Document | Element | DocumentFragment | None nextSibling: _DocumentChildren | _ElementChildren | _DocumentFragmentChildren | None previousSibling: _DocumentChildren | _ElementChildren | _DocumentFragmentChildren | None childNodes: EmptyNodeList @property def firstChild(self) -> None: ... @property def lastChild(self) -> None: ... namespaceURI: None prefix: None @property def localName(self) -> None: ... target: str data: str def __init__(self, target: str, data: str) -> None: ... def writexml(self, writer: SupportsWrite[str], indent: str = "", addindent: str = "", newl: str = "") -> None: ... class CharacterData(Childless, Node): __slots__ = ("_data", "ownerDocument", "parentNode", "previousSibling", "nextSibling") nodeValue: str attributes: None childNodes: EmptyNodeList nextSibling: _NodesThatAreChildren | None previousSibling: _NodesThatAreChildren | None @property def localName(self) -> None: ... ownerDocument: Document | None data: str def __init__(self) -> None: ... @property def length(self) -> int: ... def __len__(self) -> int: ... def substringData(self, offset: int, count: int) -> str: ... def appendData(self, arg: str) -> None: ... def insertData(self, offset: int, arg: str) -> None: ... def deleteData(self, offset: int, count: int) -> None: ... def replaceData(self, offset: int, count: int, arg: str) -> None: ... class Text(CharacterData): __slots__ = () nodeType: ClassVar[Literal[3]] nodeName: Literal["#text"] nodeValue: str # same as CharacterData.data, the content of the text node attributes: None parentNode: Attr | Element | DocumentFragment | None nextSibling: _DocumentFragmentChildren | _ElementChildren | _AttrChildren | None previousSibling: _DocumentFragmentChildren | _ElementChildren | _AttrChildren | None childNodes: EmptyNodeList @property def firstChild(self) -> None: ... @property def lastChild(self) -> None: ... namespaceURI: None prefix: None @property def localName(self) -> None: ... data: str def splitText(self, offset: int) -> Self: ... def writexml(self, writer: SupportsWrite[str], indent: str = "", addindent: str = "", newl: str = "") -> None: ... def replaceWholeText(self, content: str) -> Self | None: ... @property def isWhitespaceInElementContent(self) -> bool: ... @property def wholeText(self) -> str: ... class Comment(CharacterData): nodeType: ClassVar[Literal[8]] nodeName: Literal["#comment"] nodeValue: str # same as CharacterData.data, the content of the comment attributes: None parentNode: Document | Element | DocumentFragment | None nextSibling: _DocumentChildren | _ElementChildren | _DocumentFragmentChildren | None previousSibling: _DocumentChildren | _ElementChildren | _DocumentFragmentChildren | None childNodes: EmptyNodeList @property def firstChild(self) -> None: ... @property def lastChild(self) -> None: ... namespaceURI: None prefix: None @property def localName(self) -> None: ... def __init__(self, data: str) -> None: ... def writexml(self, writer: SupportsWrite[str], indent: str = "", addindent: str = "", newl: str = "") -> None: ... class CDATASection(Text): __slots__ = () nodeType: ClassVar[Literal[4]] # type: ignore[assignment] nodeName: Literal["#cdata-section"] # type: ignore[assignment] nodeValue: str # same as CharacterData.data, the content of the CDATA Section attributes: None parentNode: Element | DocumentFragment | None nextSibling: _DocumentFragmentChildren | _ElementChildren | None previousSibling: _DocumentFragmentChildren | _ElementChildren | None def writexml(self, writer: SupportsWrite[str], indent: str = "", addindent: str = "", newl: str = "") -> None: ... class ReadOnlySequentialNamedNodeMap(Generic[_N]): __slots__ = ("_seq",) def __init__(self, seq: Sequence[_N] = ()) -> None: ... def __len__(self) -> int: ... def getNamedItem(self, name: str) -> _N | None: ... def getNamedItemNS(self, namespaceURI: str | None, localName: str) -> _N | None: ... def __getitem__(self, name_or_tuple: str | _NSName) -> _N | None: ... def item(self, index: int) -> _N | None: ... def removeNamedItem(self, name: str) -> NoReturn: ... def removeNamedItemNS(self, namespaceURI: str | None, localName: str) -> NoReturn: ... def setNamedItem(self, node: Node) -> NoReturn: ... def setNamedItemNS(self, node: Node) -> NoReturn: ... @property def length(self) -> int: ... class Identified: __slots__ = ("publicId", "systemId") publicId: str | None systemId: str | None class DocumentType(Identified, Childless, Node): nodeType: ClassVar[Literal[10]] nodeName: str | None # same as DocumentType.name nodeValue: None attributes: None parentNode: Document | None nextSibling: _DocumentChildren | None previousSibling: _DocumentChildren | None childNodes: EmptyNodeList @property def firstChild(self) -> None: ... @property def lastChild(self) -> None: ... namespaceURI: None prefix: None @property def localName(self) -> None: ... name: str | None internalSubset: str | None entities: ReadOnlySequentialNamedNodeMap[Entity] notations: ReadOnlySequentialNamedNodeMap[Notation] def __init__(self, qualifiedName: str | None) -> None: ... def cloneNode(self, deep: bool) -> DocumentType | None: ... def writexml(self, writer: SupportsWrite[str], indent: str = "", addindent: str = "", newl: str = "") -> None: ... class Entity(Identified, Node): nodeType: ClassVar[Literal[6]] nodeName: str # entity name nodeValue: None attributes: None parentNode: None nextSibling: None previousSibling: None childNodes: NodeList[_EntityChildren] @property def firstChild(self) -> _EntityChildren | None: ... @property def lastChild(self) -> _EntityChildren | None: ... namespaceURI: None prefix: None @property def localName(self) -> None: ... actualEncoding: str | None encoding: str | None version: str | None notationName: str | None def __init__(self, name: str, publicId: str | None, systemId: str | None, notation: str | None) -> None: ... def appendChild(self, newChild: _EntityChildren) -> NoReturn: ... # type: ignore[override] def insertBefore(self, newChild: _EntityChildren, refChild: _EntityChildren | None) -> NoReturn: ... # type: ignore[override] def removeChild(self, oldChild: _EntityChildren) -> NoReturn: ... # type: ignore[override] def replaceChild(self, newChild: _EntityChildren, oldChild: _EntityChildren) -> NoReturn: ... # type: ignore[override] class Notation(Identified, Childless, Node): nodeType: ClassVar[Literal[12]] nodeName: str # notation name nodeValue: None attributes: None parentNode: DocumentFragment | None nextSibling: _DocumentFragmentChildren | None previousSibling: _DocumentFragmentChildren | None childNodes: EmptyNodeList @property def firstChild(self) -> None: ... @property def lastChild(self) -> None: ... namespaceURI: None prefix: None @property def localName(self) -> None: ... def __init__(self, name: str, publicId: str | None, systemId: str | None) -> None: ... class DOMImplementation(DOMImplementationLS): def hasFeature(self, feature: str, version: str | None) -> bool: ... def createDocument(self, namespaceURI: str | None, qualifiedName: str | None, doctype: DocumentType | None) -> Document: ... def createDocumentType(self, qualifiedName: str | None, publicId: str | None, systemId: str | None) -> DocumentType: ... def getInterface(self, feature: str) -> Self | None: ... class ElementInfo: __slots__ = ("tagName",) tagName: str def __init__(self, name: str) -> None: ... def getAttributeType(self, aname: str) -> TypeInfo: ... def getAttributeTypeNS(self, namespaceURI: str | None, localName: str) -> TypeInfo: ... def isElementContent(self) -> bool: ... def isEmpty(self) -> bool: ... def isId(self, aname: str) -> bool: ... def isIdNS(self, namespaceURI: str | None, localName: str) -> bool: ... _DocumentChildrenPlusFragment = TypeVar("_DocumentChildrenPlusFragment", bound=_DocumentChildren | DocumentFragment) class Document(Node, DocumentLS): __slots__ = ("_elem_info", "doctype", "_id_search_stack", "childNodes", "_id_cache") nodeType: ClassVar[Literal[9]] nodeName: Literal["#document"] nodeValue: None attributes: None parentNode: None previousSibling: None nextSibling: None childNodes: NodeList[_DocumentChildren] @property def firstChild(self) -> _DocumentChildren | None: ... @property def lastChild(self) -> _DocumentChildren | None: ... namespaceURI: None prefix: None @property def localName(self) -> None: ... implementation: DOMImplementation actualEncoding: str | None encoding: str | None standalone: bool | None version: str | None strictErrorChecking: bool errorHandler: _DOMErrorHandler | None documentURI: str | None doctype: DocumentType | None documentElement: Element | None def __init__(self) -> None: ... def appendChild(self, node: _DocumentChildrenVar) -> _DocumentChildrenVar: ... # type: ignore[override] def removeChild(self, oldChild: _DocumentChildrenVar) -> _DocumentChildrenVar: ... # type: ignore[override] def unlink(self) -> None: ... def cloneNode(self, deep: bool) -> Document | None: ... def createDocumentFragment(self) -> DocumentFragment: ... def createElement(self, tagName: str) -> Element: ... def createTextNode(self, data: str) -> Text: ... def createCDATASection(self, data: str) -> CDATASection: ... def createComment(self, data: str) -> Comment: ... def createProcessingInstruction(self, target: str, data: str) -> ProcessingInstruction: ... def createAttribute(self, qName: str) -> Attr: ... def createElementNS(self, namespaceURI: str | None, qualifiedName: str) -> Element: ... def createAttributeNS(self, namespaceURI: str | None, qualifiedName: str) -> Attr: ... def getElementById(self, id: str) -> Element | None: ... def getElementsByTagName(self, name: str) -> NodeList[Element]: ... def getElementsByTagNameNS(self, namespaceURI: str | None, localName: str) -> NodeList[Element]: ... def isSupported(self, feature: str, version: str | None) -> bool: ... def importNode(self, node: _ImportableNodeVar, deep: bool) -> _ImportableNodeVar: ... def writexml( self, writer: SupportsWrite[str], indent: str = "", addindent: str = "", newl: str = "", encoding: str | None = None, standalone: bool | None = None, ) -> None: ... @overload def renameNode(self, n: Element, namespaceURI: str, name: str) -> Element: ... @overload def renameNode(self, n: Attr, namespaceURI: str, name: str) -> Attr: ... @overload def renameNode(self, n: Element | Attr, namespaceURI: str, name: str) -> Element | Attr: ... def insertBefore( self, newChild: _DocumentChildrenPlusFragment, refChild: _DocumentChildren | None # type: ignore[override] ) -> _DocumentChildrenPlusFragment: ... @overload # type: ignore[override] def replaceChild( self, newChild: DocumentFragment, oldChild: _DocumentChildrenVar ) -> _DocumentChildrenVar | DocumentFragment: ... @overload def replaceChild(self, newChild: _DocumentChildren, oldChild: _DocumentChildrenVar) -> _DocumentChildrenVar | None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/pulldom.pyi0000644000175100017510000001135415112307767022145 0ustar00runnerrunnerimport sys from _typeshed import Incomplete, Unused from collections.abc import MutableSequence, Sequence from typing import Final, Literal, NoReturn from typing_extensions import Self, TypeAlias from xml.dom.minidom import Comment, Document, DOMImplementation, Element, ProcessingInstruction, Text from xml.sax import _SupportsReadClose from xml.sax.handler import ContentHandler from xml.sax.xmlreader import AttributesImpl, AttributesNSImpl, Locator, XMLReader START_ELEMENT: Final = "START_ELEMENT" END_ELEMENT: Final = "END_ELEMENT" COMMENT: Final = "COMMENT" START_DOCUMENT: Final = "START_DOCUMENT" END_DOCUMENT: Final = "END_DOCUMENT" PROCESSING_INSTRUCTION: Final = "PROCESSING_INSTRUCTION" IGNORABLE_WHITESPACE: Final = "IGNORABLE_WHITESPACE" CHARACTERS: Final = "CHARACTERS" _NSName: TypeAlias = tuple[str | None, str] _DocumentFactory: TypeAlias = DOMImplementation | None _Event: TypeAlias = ( tuple[Literal["START_ELEMENT"], Element] | tuple[Literal["END_ELEMENT"], Element] | tuple[Literal["COMMENT"], Comment] | tuple[Literal["START_DOCUMENT"], Document] | tuple[Literal["END_DOCUMENT"], Document] | tuple[Literal["PROCESSING_INSTRUCTION"], ProcessingInstruction] | tuple[Literal["IGNORABLE_WHITESPACE"], Text] | tuple[Literal["CHARACTERS"], Text] ) class PullDOM(ContentHandler): document: Document | None documentFactory: _DocumentFactory # firstEvent is a list of length 2 # firstEvent[0] is always None # firstEvent[1] is None prior to any events, after which it's a # list of length 2, where the first item is of type _Event # and the second item is None. firstEvent: list[Incomplete] # lastEvent is also a list of length 2. The second item is always None, # and the first item is of type _Event # This is a slight lie: The second item is sometimes temporarily what was just # described for the type of lastEvent, after which lastEvent is always updated # with `self.lastEvent = self.lastEvent[1]`. lastEvent: list[Incomplete] elementStack: MutableSequence[Element | Document] pending_events: ( list[Sequence[tuple[Literal["COMMENT"], str] | tuple[Literal["PROCESSING_INSTRUCTION"], str, str] | None]] | None ) def __init__(self, documentFactory: _DocumentFactory = None) -> None: ... def pop(self) -> Element | Document: ... def setDocumentLocator(self, locator: Locator) -> None: ... def startPrefixMapping(self, prefix: str | None, uri: str) -> None: ... def endPrefixMapping(self, prefix: str | None) -> None: ... def startElementNS(self, name: _NSName, tagName: str | None, attrs: AttributesNSImpl) -> None: ... def endElementNS(self, name: _NSName, tagName: str | None) -> None: ... def startElement(self, name: str, attrs: AttributesImpl) -> None: ... def endElement(self, name: str) -> None: ... def comment(self, s: str) -> None: ... def processingInstruction(self, target: str, data: str) -> None: ... def ignorableWhitespace(self, chars: str) -> None: ... def characters(self, chars: str) -> None: ... def startDocument(self) -> None: ... def buildDocument(self, uri: str | None, tagname: str | None) -> Element: ... def endDocument(self) -> None: ... def clear(self) -> None: ... class ErrorHandler: def warning(self, exception: BaseException) -> None: ... def error(self, exception: BaseException) -> NoReturn: ... def fatalError(self, exception: BaseException) -> NoReturn: ... class DOMEventStream: stream: _SupportsReadClose[bytes] | _SupportsReadClose[str] parser: XMLReader # Set to none after .clear() is called bufsize: int pulldom: PullDOM def __init__(self, stream: _SupportsReadClose[bytes] | _SupportsReadClose[str], parser: XMLReader, bufsize: int) -> None: ... if sys.version_info < (3, 11): def __getitem__(self, pos: Unused) -> _Event: ... def __next__(self) -> _Event: ... def __iter__(self) -> Self: ... def getEvent(self) -> _Event | None: ... def expandNode(self, node: Document) -> None: ... def reset(self) -> None: ... def clear(self) -> None: ... class SAX2DOM(PullDOM): def startElementNS(self, name: _NSName, tagName: str | None, attrs: AttributesNSImpl) -> None: ... def startElement(self, name: str, attrs: AttributesImpl) -> None: ... def processingInstruction(self, target: str, data: str) -> None: ... def ignorableWhitespace(self, chars: str) -> None: ... def characters(self, chars: str) -> None: ... default_bufsize: Final[int] def parse( stream_or_string: str | _SupportsReadClose[bytes] | _SupportsReadClose[str], parser: XMLReader | None = None, bufsize: int | None = None, ) -> DOMEventStream: ... def parseString(string: str, parser: XMLReader | None = None) -> DOMEventStream: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/dom/xmlbuilder.pyi0000644000175100017510000000561015112307767022636 0ustar00runnerrunnerfrom _typeshed import SupportsRead from typing import Any, Final, Literal, NoReturn from xml.dom.minidom import Document, Node, _DOMErrorHandler __all__ = ["DOMBuilder", "DOMEntityResolver", "DOMInputSource"] class Options: namespaces: int namespace_declarations: bool validation: bool external_parameter_entities: bool external_general_entities: bool external_dtd_subset: bool validate_if_schema: bool validate: bool datatype_normalization: bool create_entity_ref_nodes: bool entities: bool whitespace_in_element_content: bool cdata_sections: bool comments: bool charset_overrides_xml_encoding: bool infoset: bool supported_mediatypes_only: bool errorHandler: _DOMErrorHandler | None filter: DOMBuilderFilter | None class DOMBuilder: entityResolver: DOMEntityResolver | None errorHandler: _DOMErrorHandler | None filter: DOMBuilderFilter | None ACTION_REPLACE: Final = 1 ACTION_APPEND_AS_CHILDREN: Final = 2 ACTION_INSERT_AFTER: Final = 3 ACTION_INSERT_BEFORE: Final = 4 def __init__(self) -> None: ... def setFeature(self, name: str, state: int) -> None: ... def supportsFeature(self, name: str) -> bool: ... def canSetFeature(self, name: str, state: Literal[1, 0]) -> bool: ... # getFeature could return any attribute from an instance of `Options` def getFeature(self, name: str) -> Any: ... def parseURI(self, uri: str) -> Document: ... def parse(self, input: DOMInputSource) -> Document: ... def parseWithContext(self, input: DOMInputSource, cnode: Node, action: Literal[1, 2, 3, 4]) -> NoReturn: ... class DOMEntityResolver: __slots__ = ("_opener",) def resolveEntity(self, publicId: str | None, systemId: str) -> DOMInputSource: ... class DOMInputSource: __slots__ = ("byteStream", "characterStream", "stringData", "encoding", "publicId", "systemId", "baseURI") byteStream: SupportsRead[bytes] | None characterStream: SupportsRead[str] | None stringData: str | None encoding: str | None publicId: str | None systemId: str | None baseURI: str | None class DOMBuilderFilter: FILTER_ACCEPT: Final = 1 FILTER_REJECT: Final = 2 FILTER_SKIP: Final = 3 FILTER_INTERRUPT: Final = 4 whatToShow: int def acceptNode(self, element: Node) -> Literal[1, 2, 3, 4]: ... def startContainer(self, element: Node) -> Literal[1, 2, 3, 4]: ... class DocumentLS: async_: bool def abort(self) -> NoReturn: ... def load(self, uri: str) -> NoReturn: ... def loadXML(self, source: str) -> NoReturn: ... def saveXML(self, snode: Node | None) -> str: ... class DOMImplementationLS: MODE_SYNCHRONOUS: Final = 1 MODE_ASYNCHRONOUS: Final = 2 def createDOMBuilder(self, mode: Literal[1], schemaType: None) -> DOMBuilder: ... def createDOMWriter(self) -> NoReturn: ... def createDOMInputSource(self) -> DOMInputSource: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6177657 mypy-1.19.0/mypy/typeshed/stdlib/xml/etree/0000755000175100017510000000000015112310012020240 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/etree/ElementInclude.pyi0000644000175100017510000000223015112307767023704 0ustar00runnerrunnerfrom _typeshed import FileDescriptorOrPath from typing import Final, Literal, Protocol, overload, type_check_only from xml.etree.ElementTree import Element @type_check_only class _Loader(Protocol): @overload def __call__(self, href: FileDescriptorOrPath, parse: Literal["xml"], encoding: str | None = None) -> Element: ... @overload def __call__(self, href: FileDescriptorOrPath, parse: Literal["text"], encoding: str | None = None) -> str: ... XINCLUDE: Final = "{http://www.w3.org/2001/XInclude}" XINCLUDE_INCLUDE: Final = "{http://www.w3.org/2001/XInclude}include" XINCLUDE_FALLBACK: Final = "{http://www.w3.org/2001/XInclude}fallback" DEFAULT_MAX_INCLUSION_DEPTH: Final = 6 class FatalIncludeError(SyntaxError): ... @overload def default_loader(href: FileDescriptorOrPath, parse: Literal["xml"], encoding: str | None = None) -> Element: ... @overload def default_loader(href: FileDescriptorOrPath, parse: Literal["text"], encoding: str | None = None) -> str: ... def include(elem: Element, loader: _Loader | None = None, base_url: str | None = None, max_depth: int | None = 6) -> None: ... class LimitedRecursiveIncludeError(FatalIncludeError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/etree/ElementPath.pyi0000644000175100017510000000376315112307767023231 0ustar00runnerrunnerfrom collections.abc import Callable, Generator, Iterable from re import Pattern from typing import Any, Final, Literal, TypeVar, overload from typing_extensions import TypeAlias from xml.etree.ElementTree import Element xpath_tokenizer_re: Final[Pattern[str]] _Token: TypeAlias = tuple[str, str] _Next: TypeAlias = Callable[[], _Token] _Callback: TypeAlias = Callable[[_SelectorContext, Iterable[Element]], Generator[Element, None, None]] _T = TypeVar("_T") def xpath_tokenizer(pattern: str, namespaces: dict[str, str] | None = None) -> Generator[_Token, None, None]: ... def get_parent_map(context: _SelectorContext) -> dict[Element, Element]: ... def prepare_child(next: _Next, token: _Token) -> _Callback: ... def prepare_star(next: _Next, token: _Token) -> _Callback: ... def prepare_self(next: _Next, token: _Token) -> _Callback: ... def prepare_descendant(next: _Next, token: _Token) -> _Callback | None: ... def prepare_parent(next: _Next, token: _Token) -> _Callback: ... def prepare_predicate(next: _Next, token: _Token) -> _Callback | None: ... ops: Final[dict[str, Callable[[_Next, _Token], _Callback | None]]] class _SelectorContext: parent_map: dict[Element, Element] | None root: Element def __init__(self, root: Element) -> None: ... @overload def iterfind( # type: ignore[overload-overlap] elem: Element[Any], path: Literal[""], namespaces: dict[str, str] | None = None ) -> None: ... @overload def iterfind(elem: Element[Any], path: str, namespaces: dict[str, str] | None = None) -> Generator[Element, None, None]: ... def find(elem: Element[Any], path: str, namespaces: dict[str, str] | None = None) -> Element | None: ... def findall(elem: Element[Any], path: str, namespaces: dict[str, str] | None = None) -> list[Element]: ... @overload def findtext(elem: Element[Any], path: str, default: None = None, namespaces: dict[str, str] | None = None) -> str | None: ... @overload def findtext(elem: Element[Any], path: str, default: _T, namespaces: dict[str, str] | None = None) -> _T | str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/etree/ElementTree.pyi0000644000175100017510000003504615112307767023233 0ustar00runnerrunnerimport sys from _collections_abc import dict_keys from _typeshed import FileDescriptorOrPath, ReadableBuffer, SupportsRead, SupportsWrite from collections.abc import Callable, Generator, ItemsView, Iterable, Iterator, Mapping, Sequence from typing import Any, Final, Generic, Literal, Protocol, SupportsIndex, TypeVar, overload, type_check_only from typing_extensions import TypeAlias, TypeGuard, deprecated, disjoint_base from xml.parsers.expat import XMLParserType __all__ = [ "C14NWriterTarget", "Comment", "dump", "Element", "ElementTree", "canonicalize", "fromstring", "fromstringlist", "indent", "iselement", "iterparse", "parse", "ParseError", "PI", "ProcessingInstruction", "QName", "SubElement", "tostring", "tostringlist", "TreeBuilder", "VERSION", "XML", "XMLID", "XMLParser", "XMLPullParser", "register_namespace", ] _T = TypeVar("_T") _FileRead: TypeAlias = FileDescriptorOrPath | SupportsRead[bytes] | SupportsRead[str] _FileWriteC14N: TypeAlias = FileDescriptorOrPath | SupportsWrite[bytes] _FileWrite: TypeAlias = _FileWriteC14N | SupportsWrite[str] VERSION: Final[str] class ParseError(SyntaxError): code: int position: tuple[int, int] # In reality it works based on `.tag` attribute duck typing. def iselement(element: object) -> TypeGuard[Element]: ... @overload def canonicalize( xml_data: str | ReadableBuffer | None = None, *, out: None = None, from_file: _FileRead | None = None, with_comments: bool = False, strip_text: bool = False, rewrite_prefixes: bool = False, qname_aware_tags: Iterable[str] | None = None, qname_aware_attrs: Iterable[str] | None = None, exclude_attrs: Iterable[str] | None = None, exclude_tags: Iterable[str] | None = None, ) -> str: ... @overload def canonicalize( xml_data: str | ReadableBuffer | None = None, *, out: SupportsWrite[str], from_file: _FileRead | None = None, with_comments: bool = False, strip_text: bool = False, rewrite_prefixes: bool = False, qname_aware_tags: Iterable[str] | None = None, qname_aware_attrs: Iterable[str] | None = None, exclude_attrs: Iterable[str] | None = None, exclude_tags: Iterable[str] | None = None, ) -> None: ... # The tag for Element can be set to the Comment or ProcessingInstruction # functions defined in this module. _ElementCallable: TypeAlias = Callable[..., Element[_ElementCallable]] _Tag = TypeVar("_Tag", default=str, bound=str | _ElementCallable) _OtherTag = TypeVar("_OtherTag", default=str, bound=str | _ElementCallable) @disjoint_base class Element(Generic[_Tag]): tag: _Tag attrib: dict[str, str] text: str | None tail: str | None def __init__(self, tag: _Tag, attrib: dict[str, str] = {}, **extra: str) -> None: ... def append(self, subelement: Element[Any], /) -> None: ... def clear(self) -> None: ... def extend(self, elements: Iterable[Element[Any]], /) -> None: ... def find(self, path: str, namespaces: dict[str, str] | None = None) -> Element | None: ... def findall(self, path: str, namespaces: dict[str, str] | None = None) -> list[Element]: ... @overload def findtext(self, path: str, default: None = None, namespaces: dict[str, str] | None = None) -> str | None: ... @overload def findtext(self, path: str, default: _T, namespaces: dict[str, str] | None = None) -> _T | str: ... @overload def get(self, key: str, default: None = None) -> str | None: ... @overload def get(self, key: str, default: _T) -> str | _T: ... def insert(self, index: int, subelement: Element[Any], /) -> None: ... def items(self) -> ItemsView[str, str]: ... def iter(self, tag: str | None = None) -> Generator[Element, None, None]: ... @overload def iterfind(self, path: Literal[""], namespaces: dict[str, str] | None = None) -> None: ... # type: ignore[overload-overlap] @overload def iterfind(self, path: str, namespaces: dict[str, str] | None = None) -> Generator[Element, None, None]: ... def itertext(self) -> Generator[str, None, None]: ... def keys(self) -> dict_keys[str, str]: ... # makeelement returns the type of self in Python impl, but not in C impl def makeelement(self, tag: _OtherTag, attrib: dict[str, str], /) -> Element[_OtherTag]: ... def remove(self, subelement: Element[Any], /) -> None: ... def set(self, key: str, value: str, /) -> None: ... def __copy__(self) -> Element[_Tag]: ... # returns the type of self in Python impl, but not in C impl def __deepcopy__(self, memo: Any, /) -> Element: ... # Only exists in C impl def __delitem__(self, key: SupportsIndex | slice, /) -> None: ... @overload def __getitem__(self, key: SupportsIndex, /) -> Element: ... @overload def __getitem__(self, key: slice, /) -> list[Element]: ... def __len__(self) -> int: ... # Doesn't actually exist at runtime, but instance of the class are indeed iterable due to __getitem__. def __iter__(self) -> Iterator[Element]: ... @overload def __setitem__(self, key: SupportsIndex, value: Element[Any], /) -> None: ... @overload def __setitem__(self, key: slice, value: Iterable[Element[Any]], /) -> None: ... # Doesn't really exist in earlier versions, where __len__ is called implicitly instead @deprecated("Testing an element's truth value is deprecated.") def __bool__(self) -> bool: ... def SubElement(parent: Element[Any], tag: str, attrib: dict[str, str] = ..., **extra: str) -> Element: ... def Comment(text: str | None = None) -> Element[_ElementCallable]: ... def ProcessingInstruction(target: str, text: str | None = None) -> Element[_ElementCallable]: ... PI = ProcessingInstruction class QName: text: str def __init__(self, text_or_uri: str, tag: str | None = None) -> None: ... def __lt__(self, other: QName | str) -> bool: ... def __le__(self, other: QName | str) -> bool: ... def __gt__(self, other: QName | str) -> bool: ... def __ge__(self, other: QName | str) -> bool: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... _Root = TypeVar("_Root", Element, Element | None, default=Element | None) class ElementTree(Generic[_Root]): def __init__(self, element: Element[Any] | None = None, file: _FileRead | None = None) -> None: ... def getroot(self) -> _Root: ... def parse(self, source: _FileRead, parser: XMLParser | None = None) -> Element: ... def iter(self, tag: str | None = None) -> Generator[Element, None, None]: ... def find(self, path: str, namespaces: dict[str, str] | None = None) -> Element | None: ... @overload def findtext(self, path: str, default: None = None, namespaces: dict[str, str] | None = None) -> str | None: ... @overload def findtext(self, path: str, default: _T, namespaces: dict[str, str] | None = None) -> _T | str: ... def findall(self, path: str, namespaces: dict[str, str] | None = None) -> list[Element]: ... @overload def iterfind(self, path: Literal[""], namespaces: dict[str, str] | None = None) -> None: ... # type: ignore[overload-overlap] @overload def iterfind(self, path: str, namespaces: dict[str, str] | None = None) -> Generator[Element, None, None]: ... def write( self, file_or_filename: _FileWrite, encoding: str | None = None, xml_declaration: bool | None = None, default_namespace: str | None = None, method: Literal["xml", "html", "text", "c14n"] | None = None, *, short_empty_elements: bool = True, ) -> None: ... def write_c14n(self, file: _FileWriteC14N) -> None: ... HTML_EMPTY: Final[set[str]] def register_namespace(prefix: str, uri: str) -> None: ... @overload def tostring( element: Element[Any], encoding: None = None, method: Literal["xml", "html", "text", "c14n"] | None = None, *, xml_declaration: bool | None = None, default_namespace: str | None = None, short_empty_elements: bool = True, ) -> bytes: ... @overload def tostring( element: Element[Any], encoding: Literal["unicode"], method: Literal["xml", "html", "text", "c14n"] | None = None, *, xml_declaration: bool | None = None, default_namespace: str | None = None, short_empty_elements: bool = True, ) -> str: ... @overload def tostring( element: Element[Any], encoding: str, method: Literal["xml", "html", "text", "c14n"] | None = None, *, xml_declaration: bool | None = None, default_namespace: str | None = None, short_empty_elements: bool = True, ) -> Any: ... @overload def tostringlist( element: Element[Any], encoding: None = None, method: Literal["xml", "html", "text", "c14n"] | None = None, *, xml_declaration: bool | None = None, default_namespace: str | None = None, short_empty_elements: bool = True, ) -> list[bytes]: ... @overload def tostringlist( element: Element[Any], encoding: Literal["unicode"], method: Literal["xml", "html", "text", "c14n"] | None = None, *, xml_declaration: bool | None = None, default_namespace: str | None = None, short_empty_elements: bool = True, ) -> list[str]: ... @overload def tostringlist( element: Element[Any], encoding: str, method: Literal["xml", "html", "text", "c14n"] | None = None, *, xml_declaration: bool | None = None, default_namespace: str | None = None, short_empty_elements: bool = True, ) -> list[Any]: ... def dump(elem: Element[Any] | ElementTree[Any]) -> None: ... def indent(tree: Element[Any] | ElementTree[Any], space: str = " ", level: int = 0) -> None: ... def parse(source: _FileRead, parser: XMLParser[Any] | None = None) -> ElementTree[Element]: ... # This class is defined inside the body of iterparse @type_check_only class _IterParseIterator(Iterator[tuple[str, Element]], Protocol): def __next__(self) -> tuple[str, Element]: ... if sys.version_info >= (3, 13): def close(self) -> None: ... if sys.version_info >= (3, 11): def __del__(self) -> None: ... def iterparse(source: _FileRead, events: Sequence[str] | None = None, parser: XMLParser | None = None) -> _IterParseIterator: ... _EventQueue: TypeAlias = tuple[str] | tuple[str, tuple[str, str]] | tuple[str, None] class XMLPullParser(Generic[_E]): def __init__(self, events: Sequence[str] | None = None, *, _parser: XMLParser[_E] | None = None) -> None: ... def feed(self, data: str | ReadableBuffer) -> None: ... def close(self) -> None: ... def read_events(self) -> Iterator[_EventQueue | tuple[str, _E]]: ... def flush(self) -> None: ... def XML(text: str | ReadableBuffer, parser: XMLParser | None = None) -> Element: ... def XMLID(text: str | ReadableBuffer, parser: XMLParser | None = None) -> tuple[Element, dict[str, Element]]: ... # This is aliased to XML in the source. fromstring = XML def fromstringlist(sequence: Sequence[str | ReadableBuffer], parser: XMLParser | None = None) -> Element: ... # This type is both not precise enough and too precise. The TreeBuilder # requires the elementfactory to accept tag and attrs in its args and produce # some kind of object that has .text and .tail properties. # I've chosen to constrain the ElementFactory to always produce an Element # because that is how almost everyone will use it. # Unfortunately, the type of the factory arguments is dependent on how # TreeBuilder is called by client code (they could pass strs, bytes or whatever); # but we don't want to use a too-broad type, or it would be too hard to write # elementfactories. _ElementFactory: TypeAlias = Callable[[Any, dict[Any, Any]], Element] @disjoint_base class TreeBuilder: # comment_factory can take None because passing None to Comment is not an error def __init__( self, element_factory: _ElementFactory | None = None, *, comment_factory: Callable[[str | None], Element[Any]] | None = None, pi_factory: Callable[[str, str | None], Element[Any]] | None = None, insert_comments: bool = False, insert_pis: bool = False, ) -> None: ... insert_comments: bool insert_pis: bool def close(self) -> Element: ... def data(self, data: str, /) -> None: ... # tag and attrs are passed to the element_factory, so they could be anything # depending on what the particular factory supports. def start(self, tag: Any, attrs: dict[Any, Any], /) -> Element: ... def end(self, tag: str, /) -> Element: ... # These two methods have pos-only parameters in the C implementation def comment(self, text: str | None, /) -> Element[Any]: ... def pi(self, target: str, text: str | None = None, /) -> Element[Any]: ... class C14NWriterTarget: def __init__( self, write: Callable[[str], object], *, with_comments: bool = False, strip_text: bool = False, rewrite_prefixes: bool = False, qname_aware_tags: Iterable[str] | None = None, qname_aware_attrs: Iterable[str] | None = None, exclude_attrs: Iterable[str] | None = None, exclude_tags: Iterable[str] | None = None, ) -> None: ... def data(self, data: str) -> None: ... def start_ns(self, prefix: str, uri: str) -> None: ... def start(self, tag: str, attrs: Mapping[str, str]) -> None: ... def end(self, tag: str) -> None: ... def comment(self, text: str) -> None: ... def pi(self, target: str, data: str) -> None: ... # The target type is tricky, because the implementation doesn't # require any particular attribute to be present. This documents the attributes # that can be present, but uncommenting any of them would require them. @type_check_only class _Target(Protocol): # start: Callable[str, dict[str, str], Any] | None # end: Callable[[str], Any] | None # start_ns: Callable[[str, str], Any] | None # end_ns: Callable[[str], Any] | None # data: Callable[[str], Any] | None # comment: Callable[[str], Any] # pi: Callable[[str, str], Any] | None # close: Callable[[], Any] | None ... _E = TypeVar("_E", default=Element) # This is generic because the return type of close() depends on the target. # The default target is TreeBuilder, which returns Element. # C14NWriterTarget does not implement a close method, so using it results # in a type of XMLParser[None]. @disjoint_base class XMLParser(Generic[_E]): parser: XMLParserType target: _Target # TODO: what is entity used for??? entity: dict[str, str] version: str def __init__(self, *, target: _Target | None = None, encoding: str | None = None) -> None: ... def close(self) -> _E: ... def feed(self, data: str | ReadableBuffer, /) -> None: ... def flush(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/etree/__init__.pyi0000644000175100017510000000000015112307767022537 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/etree/cElementTree.pyi0000644000175100017510000000004415112307767023364 0ustar00runnerrunnerfrom xml.etree.ElementTree import * ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6187656 mypy-1.19.0/mypy/typeshed/stdlib/xml/parsers/0000755000175100017510000000000015112310012020613 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/parsers/__init__.pyi0000644000175100017510000000004715112307767023125 0ustar00runnerrunnerfrom xml.parsers import expat as expat ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6187656 mypy-1.19.0/mypy/typeshed/stdlib/xml/parsers/expat/0000755000175100017510000000000015112310012021734 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/parsers/expat/__init__.pyi0000644000175100017510000000027515112307767024251 0ustar00runnerrunnerfrom pyexpat import * # This is actually implemented in the C module pyexpat, but considers itself to live here. class ExpatError(Exception): code: int lineno: int offset: int ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/parsers/expat/errors.pyi0000644000175100017510000000003515112307767024020 0ustar00runnerrunnerfrom pyexpat.errors import * ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/parsers/expat/model.pyi0000644000175100017510000000003415112307767023603 0ustar00runnerrunnerfrom pyexpat.model import * ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6197658 mypy-1.19.0/mypy/typeshed/stdlib/xml/sax/0000755000175100017510000000000015112310012017727 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/sax/__init__.pyi0000644000175100017510000000312015112307767022234 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer, StrPath, SupportsRead, _T_co from collections.abc import Iterable from typing import Final, Protocol, type_check_only from typing_extensions import TypeAlias from xml.sax._exceptions import ( SAXException as SAXException, SAXNotRecognizedException as SAXNotRecognizedException, SAXNotSupportedException as SAXNotSupportedException, SAXParseException as SAXParseException, SAXReaderNotAvailable as SAXReaderNotAvailable, ) from xml.sax.handler import ContentHandler as ContentHandler, ErrorHandler as ErrorHandler from xml.sax.xmlreader import InputSource as InputSource, XMLReader @type_check_only class _SupportsReadClose(SupportsRead[_T_co], Protocol[_T_co]): def close(self) -> None: ... _Source: TypeAlias = StrPath | _SupportsReadClose[bytes] | _SupportsReadClose[str] default_parser_list: Final[list[str]] def make_parser(parser_list: Iterable[str] = ()) -> XMLReader: ... def parse(source: _Source, handler: ContentHandler, errorHandler: ErrorHandler = ...) -> None: ... def parseString(string: ReadableBuffer | str, handler: ContentHandler, errorHandler: ErrorHandler | None = ...) -> None: ... def _create_parser(parser_name: str) -> XMLReader: ... if sys.version_info >= (3, 14): __all__ = [ "ContentHandler", "ErrorHandler", "InputSource", "SAXException", "SAXNotRecognizedException", "SAXNotSupportedException", "SAXParseException", "SAXReaderNotAvailable", "default_parser_list", "make_parser", "parse", "parseString", ] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/sax/_exceptions.pyi0000644000175100017510000000144415112307767023024 0ustar00runnerrunnerfrom typing import NoReturn from xml.sax.xmlreader import Locator class SAXException(Exception): def __init__(self, msg: str, exception: Exception | None = None) -> None: ... def getMessage(self) -> str: ... def getException(self) -> Exception | None: ... def __getitem__(self, ix: object) -> NoReturn: ... class SAXParseException(SAXException): def __init__(self, msg: str, exception: Exception | None, locator: Locator) -> None: ... def getColumnNumber(self) -> int | None: ... def getLineNumber(self) -> int | None: ... def getPublicId(self) -> str | None: ... def getSystemId(self) -> str | None: ... class SAXNotRecognizedException(SAXException): ... class SAXNotSupportedException(SAXException): ... class SAXReaderNotAvailable(SAXNotSupportedException): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/sax/expatreader.pyi0000644000175100017510000000733015112307767023010 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from collections.abc import Mapping from typing import Any, Final, Literal, overload from typing_extensions import TypeAlias from xml.sax import _Source, xmlreader from xml.sax.handler import _ContentHandlerProtocol if sys.version_info >= (3, 10): from xml.sax.handler import LexicalHandler _BoolType: TypeAlias = Literal[0, 1] | bool version: Final[str] AttributesImpl = xmlreader.AttributesImpl AttributesNSImpl = xmlreader.AttributesNSImpl class _ClosedParser: ErrorColumnNumber: int ErrorLineNumber: int class ExpatLocator(xmlreader.Locator): def __init__(self, parser: ExpatParser) -> None: ... def getColumnNumber(self) -> int | None: ... def getLineNumber(self) -> int: ... def getPublicId(self) -> str | None: ... def getSystemId(self) -> str | None: ... class ExpatParser(xmlreader.IncrementalParser, xmlreader.Locator): def __init__(self, namespaceHandling: _BoolType = 0, bufsize: int = 65516) -> None: ... def parse(self, source: xmlreader.InputSource | _Source) -> None: ... def prepareParser(self, source: xmlreader.InputSource) -> None: ... def setContentHandler(self, handler: _ContentHandlerProtocol) -> None: ... def getFeature(self, name: str) -> _BoolType: ... def setFeature(self, name: str, state: _BoolType) -> None: ... if sys.version_info >= (3, 10): @overload def getProperty(self, name: Literal["http://xml.org/sax/properties/lexical-handler"]) -> LexicalHandler | None: ... @overload def getProperty(self, name: Literal["http://www.python.org/sax/properties/interning-dict"]) -> dict[str, Any] | None: ... @overload def getProperty(self, name: Literal["http://xml.org/sax/properties/xml-string"]) -> bytes | None: ... @overload def getProperty(self, name: str) -> object: ... if sys.version_info >= (3, 10): @overload def setProperty(self, name: Literal["http://xml.org/sax/properties/lexical-handler"], value: LexicalHandler) -> None: ... @overload def setProperty( self, name: Literal["http://www.python.org/sax/properties/interning-dict"], value: dict[str, Any] ) -> None: ... @overload def setProperty(self, name: str, value: object) -> None: ... def feed(self, data: str | ReadableBuffer, isFinal: bool = False) -> None: ... def flush(self) -> None: ... def close(self) -> None: ... def reset(self) -> None: ... def getColumnNumber(self) -> int | None: ... def getLineNumber(self) -> int: ... def getPublicId(self) -> str | None: ... def getSystemId(self) -> str | None: ... def start_element(self, name: str, attrs: Mapping[str, str]) -> None: ... def end_element(self, name: str) -> None: ... def start_element_ns(self, name: str, attrs: Mapping[str, str]) -> None: ... def end_element_ns(self, name: str) -> None: ... def processing_instruction(self, target: str, data: str) -> None: ... def character_data(self, data: str) -> None: ... def start_namespace_decl(self, prefix: str | None, uri: str) -> None: ... def end_namespace_decl(self, prefix: str | None) -> None: ... def start_doctype_decl(self, name: str, sysid: str | None, pubid: str | None, has_internal_subset: bool) -> None: ... def unparsed_entity_decl(self, name: str, base: str | None, sysid: str, pubid: str | None, notation_name: str) -> None: ... def notation_decl(self, name: str, base: str | None, sysid: str, pubid: str | None) -> None: ... def external_entity_ref(self, context: str, base: str | None, sysid: str, pubid: str | None) -> int: ... def skipped_entity_handler(self, name: str, is_pe: bool) -> None: ... def create_parser(namespaceHandling: int = 0, bufsize: int = 65516) -> ExpatParser: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/sax/handler.pyi0000644000175100017510000001066015112307767022121 0ustar00runnerrunnerimport sys from typing import Final, NoReturn, Protocol, type_check_only from xml.sax import xmlreader version: Final[str] @type_check_only class _ErrorHandlerProtocol(Protocol): # noqa: Y046 # Protocol is not used def error(self, exception: BaseException) -> NoReturn: ... def fatalError(self, exception: BaseException) -> NoReturn: ... def warning(self, exception: BaseException) -> None: ... class ErrorHandler: def error(self, exception: BaseException) -> NoReturn: ... def fatalError(self, exception: BaseException) -> NoReturn: ... def warning(self, exception: BaseException) -> None: ... @type_check_only class _ContentHandlerProtocol(Protocol): # noqa: Y046 # Protocol is not used def setDocumentLocator(self, locator: xmlreader.Locator) -> None: ... def startDocument(self) -> None: ... def endDocument(self) -> None: ... def startPrefixMapping(self, prefix: str | None, uri: str) -> None: ... def endPrefixMapping(self, prefix: str | None) -> None: ... def startElement(self, name: str, attrs: xmlreader.AttributesImpl) -> None: ... def endElement(self, name: str) -> None: ... def startElementNS(self, name: tuple[str | None, str], qname: str | None, attrs: xmlreader.AttributesNSImpl) -> None: ... def endElementNS(self, name: tuple[str | None, str], qname: str | None) -> None: ... def characters(self, content: str) -> None: ... def ignorableWhitespace(self, whitespace: str) -> None: ... def processingInstruction(self, target: str, data: str) -> None: ... def skippedEntity(self, name: str) -> None: ... class ContentHandler: def setDocumentLocator(self, locator: xmlreader.Locator) -> None: ... def startDocument(self) -> None: ... def endDocument(self) -> None: ... def startPrefixMapping(self, prefix: str | None, uri: str) -> None: ... def endPrefixMapping(self, prefix: str | None) -> None: ... def startElement(self, name: str, attrs: xmlreader.AttributesImpl) -> None: ... def endElement(self, name: str) -> None: ... def startElementNS(self, name: tuple[str | None, str], qname: str | None, attrs: xmlreader.AttributesNSImpl) -> None: ... def endElementNS(self, name: tuple[str | None, str], qname: str | None) -> None: ... def characters(self, content: str) -> None: ... def ignorableWhitespace(self, whitespace: str) -> None: ... def processingInstruction(self, target: str, data: str) -> None: ... def skippedEntity(self, name: str) -> None: ... @type_check_only class _DTDHandlerProtocol(Protocol): # noqa: Y046 # Protocol is not used def notationDecl(self, name: str, publicId: str | None, systemId: str) -> None: ... def unparsedEntityDecl(self, name: str, publicId: str | None, systemId: str, ndata: str) -> None: ... class DTDHandler: def notationDecl(self, name: str, publicId: str | None, systemId: str) -> None: ... def unparsedEntityDecl(self, name: str, publicId: str | None, systemId: str, ndata: str) -> None: ... @type_check_only class _EntityResolverProtocol(Protocol): # noqa: Y046 # Protocol is not used def resolveEntity(self, publicId: str | None, systemId: str) -> str: ... class EntityResolver: def resolveEntity(self, publicId: str | None, systemId: str) -> str: ... feature_namespaces: Final = "http://xml.org/sax/features/namespaces" feature_namespace_prefixes: Final = "http://xml.org/sax/features/namespace-prefixes" feature_string_interning: Final = "http://xml.org/sax/features/string-interning" feature_validation: Final = "http://xml.org/sax/features/validation" feature_external_ges: Final[str] # too long string feature_external_pes: Final[str] # too long string all_features: Final[list[str]] property_lexical_handler: Final = "http://xml.org/sax/properties/lexical-handler" property_declaration_handler: Final = "http://xml.org/sax/properties/declaration-handler" property_dom_node: Final = "http://xml.org/sax/properties/dom-node" property_xml_string: Final = "http://xml.org/sax/properties/xml-string" property_encoding: Final = "http://www.python.org/sax/properties/encoding" property_interning_dict: Final[str] # too long string all_properties: Final[list[str]] if sys.version_info >= (3, 10): class LexicalHandler: def comment(self, content: str) -> None: ... def startDTD(self, name: str, public_id: str | None, system_id: str | None) -> None: ... def endDTD(self) -> None: ... def startCDATA(self) -> None: ... def endCDATA(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/sax/saxutils.pyi0000644000175100017510000000733415112307767022364 0ustar00runnerrunnerfrom _typeshed import SupportsWrite from codecs import StreamReaderWriter, StreamWriter from collections.abc import Mapping from io import RawIOBase, TextIOBase from typing import Literal, NoReturn from xml.sax import _Source, handler, xmlreader def escape(data: str, entities: Mapping[str, str] = {}) -> str: ... def unescape(data: str, entities: Mapping[str, str] = {}) -> str: ... def quoteattr(data: str, entities: Mapping[str, str] = {}) -> str: ... class XMLGenerator(handler.ContentHandler): def __init__( self, out: TextIOBase | RawIOBase | StreamWriter | StreamReaderWriter | SupportsWrite[bytes] | None = None, encoding: str = "iso-8859-1", short_empty_elements: bool = False, ) -> None: ... def _qname(self, name: tuple[str | None, str]) -> str: ... def startDocument(self) -> None: ... def endDocument(self) -> None: ... def startPrefixMapping(self, prefix: str | None, uri: str) -> None: ... def endPrefixMapping(self, prefix: str | None) -> None: ... def startElement(self, name: str, attrs: xmlreader.AttributesImpl) -> None: ... def endElement(self, name: str) -> None: ... def startElementNS(self, name: tuple[str | None, str], qname: str | None, attrs: xmlreader.AttributesNSImpl) -> None: ... def endElementNS(self, name: tuple[str | None, str], qname: str | None) -> None: ... def characters(self, content: str) -> None: ... def ignorableWhitespace(self, content: str) -> None: ... def processingInstruction(self, target: str, data: str) -> None: ... class XMLFilterBase(xmlreader.XMLReader): def __init__(self, parent: xmlreader.XMLReader | None = None) -> None: ... # ErrorHandler methods def error(self, exception: BaseException) -> NoReturn: ... def fatalError(self, exception: BaseException) -> NoReturn: ... def warning(self, exception: BaseException) -> None: ... # ContentHandler methods def setDocumentLocator(self, locator: xmlreader.Locator) -> None: ... def startDocument(self) -> None: ... def endDocument(self) -> None: ... def startPrefixMapping(self, prefix: str | None, uri: str) -> None: ... def endPrefixMapping(self, prefix: str | None) -> None: ... def startElement(self, name: str, attrs: xmlreader.AttributesImpl) -> None: ... def endElement(self, name: str) -> None: ... def startElementNS(self, name: tuple[str | None, str], qname: str | None, attrs: xmlreader.AttributesNSImpl) -> None: ... def endElementNS(self, name: tuple[str | None, str], qname: str | None) -> None: ... def characters(self, content: str) -> None: ... def ignorableWhitespace(self, chars: str) -> None: ... def processingInstruction(self, target: str, data: str) -> None: ... def skippedEntity(self, name: str) -> None: ... # DTDHandler methods def notationDecl(self, name: str, publicId: str | None, systemId: str) -> None: ... def unparsedEntityDecl(self, name: str, publicId: str | None, systemId: str, ndata: str) -> None: ... # EntityResolver methods def resolveEntity(self, publicId: str | None, systemId: str) -> str: ... # XMLReader methods def parse(self, source: xmlreader.InputSource | _Source) -> None: ... def setLocale(self, locale: str) -> None: ... def getFeature(self, name: str) -> Literal[1, 0] | bool: ... def setFeature(self, name: str, state: Literal[1, 0] | bool) -> None: ... def getProperty(self, name: str) -> object: ... def setProperty(self, name: str, value: object) -> None: ... # XMLFilter methods def getParent(self) -> xmlreader.XMLReader | None: ... def setParent(self, parent: xmlreader.XMLReader) -> None: ... def prepare_input_source(source: xmlreader.InputSource | _Source, base: str = "") -> xmlreader.InputSource: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xml/sax/xmlreader.pyi0000644000175100017510000001037415112307767022471 0ustar00runnerrunnerfrom _typeshed import ReadableBuffer from collections.abc import Mapping from typing import Generic, Literal, TypeVar, overload from typing_extensions import Self, TypeAlias from xml.sax import _Source, _SupportsReadClose from xml.sax.handler import _ContentHandlerProtocol, _DTDHandlerProtocol, _EntityResolverProtocol, _ErrorHandlerProtocol class XMLReader: def parse(self, source: InputSource | _Source) -> None: ... def getContentHandler(self) -> _ContentHandlerProtocol: ... def setContentHandler(self, handler: _ContentHandlerProtocol) -> None: ... def getDTDHandler(self) -> _DTDHandlerProtocol: ... def setDTDHandler(self, handler: _DTDHandlerProtocol) -> None: ... def getEntityResolver(self) -> _EntityResolverProtocol: ... def setEntityResolver(self, resolver: _EntityResolverProtocol) -> None: ... def getErrorHandler(self) -> _ErrorHandlerProtocol: ... def setErrorHandler(self, handler: _ErrorHandlerProtocol) -> None: ... def setLocale(self, locale: str) -> None: ... def getFeature(self, name: str) -> Literal[0, 1] | bool: ... def setFeature(self, name: str, state: Literal[0, 1] | bool) -> None: ... def getProperty(self, name: str) -> object: ... def setProperty(self, name: str, value: object) -> None: ... class IncrementalParser(XMLReader): def __init__(self, bufsize: int = 65536) -> None: ... def parse(self, source: InputSource | _Source) -> None: ... def feed(self, data: str | ReadableBuffer) -> None: ... def prepareParser(self, source: InputSource) -> None: ... def close(self) -> None: ... def reset(self) -> None: ... class Locator: def getColumnNumber(self) -> int | None: ... def getLineNumber(self) -> int | None: ... def getPublicId(self) -> str | None: ... def getSystemId(self) -> str | None: ... class InputSource: def __init__(self, system_id: str | None = None) -> None: ... def setPublicId(self, public_id: str | None) -> None: ... def getPublicId(self) -> str | None: ... def setSystemId(self, system_id: str | None) -> None: ... def getSystemId(self) -> str | None: ... def setEncoding(self, encoding: str | None) -> None: ... def getEncoding(self) -> str | None: ... def setByteStream(self, bytefile: _SupportsReadClose[bytes] | None) -> None: ... def getByteStream(self) -> _SupportsReadClose[bytes] | None: ... def setCharacterStream(self, charfile: _SupportsReadClose[str] | None) -> None: ... def getCharacterStream(self) -> _SupportsReadClose[str] | None: ... _AttrKey = TypeVar("_AttrKey", default=str) class AttributesImpl(Generic[_AttrKey]): def __init__(self, attrs: Mapping[_AttrKey, str]) -> None: ... def getLength(self) -> int: ... def getType(self, name: str) -> str: ... def getValue(self, name: _AttrKey) -> str: ... def getValueByQName(self, name: str) -> str: ... def getNameByQName(self, name: str) -> _AttrKey: ... def getQNameByName(self, name: _AttrKey) -> str: ... def getNames(self) -> list[_AttrKey]: ... def getQNames(self) -> list[str]: ... def __len__(self) -> int: ... def __getitem__(self, name: _AttrKey) -> str: ... def keys(self) -> list[_AttrKey]: ... def __contains__(self, name: _AttrKey) -> bool: ... @overload def get(self, name: _AttrKey, alternative: None = None) -> str | None: ... @overload def get(self, name: _AttrKey, alternative: str) -> str: ... def copy(self) -> Self: ... def items(self) -> list[tuple[_AttrKey, str]]: ... def values(self) -> list[str]: ... _NSName: TypeAlias = tuple[str | None, str] class AttributesNSImpl(AttributesImpl[_NSName]): def __init__(self, attrs: Mapping[_NSName, str], qnames: Mapping[_NSName, str]) -> None: ... def getValue(self, name: _NSName) -> str: ... def getNameByQName(self, name: str) -> _NSName: ... def getQNameByName(self, name: _NSName) -> str: ... def getNames(self) -> list[_NSName]: ... def __getitem__(self, name: _NSName) -> str: ... def keys(self) -> list[_NSName]: ... def __contains__(self, name: _NSName) -> bool: ... @overload def get(self, name: _NSName, alternative: None = None) -> str | None: ... @overload def get(self, name: _NSName, alternative: str) -> str: ... def items(self) -> list[tuple[_NSName, str]]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6197658 mypy-1.19.0/mypy/typeshed/stdlib/xmlrpc/0000755000175100017510000000000015112310012017641 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xmlrpc/__init__.pyi0000644000175100017510000000000015112307767022140 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xmlrpc/client.pyi0000644000175100017510000002740315112307767021677 0ustar00runnerrunnerimport gzip import http.client import time from _typeshed import ReadableBuffer, SizedBuffer, SupportsRead, SupportsWrite from collections.abc import Callable, Iterable, Mapping from datetime import datetime from io import BytesIO from types import TracebackType from typing import Any, ClassVar, Final, Literal, Protocol, overload, type_check_only from typing_extensions import Self, TypeAlias @type_check_only class _SupportsTimeTuple(Protocol): def timetuple(self) -> time.struct_time: ... _DateTimeComparable: TypeAlias = DateTime | datetime | str | _SupportsTimeTuple _Marshallable: TypeAlias = ( bool | int | float | str | bytes | bytearray | None | tuple[_Marshallable, ...] # Ideally we'd use _Marshallable for list and dict, but invariance makes that impractical | list[Any] | dict[str, Any] | datetime | DateTime | Binary ) _XMLDate: TypeAlias = int | datetime | tuple[int, ...] | time.struct_time _HostType: TypeAlias = tuple[str, dict[str, str]] | str def escape(s: str) -> str: ... # undocumented MAXINT: Final[int] # undocumented MININT: Final[int] # undocumented PARSE_ERROR: Final[int] # undocumented SERVER_ERROR: Final[int] # undocumented APPLICATION_ERROR: Final[int] # undocumented SYSTEM_ERROR: Final[int] # undocumented TRANSPORT_ERROR: Final[int] # undocumented NOT_WELLFORMED_ERROR: Final[int] # undocumented UNSUPPORTED_ENCODING: Final[int] # undocumented INVALID_ENCODING_CHAR: Final[int] # undocumented INVALID_XMLRPC: Final[int] # undocumented METHOD_NOT_FOUND: Final[int] # undocumented INVALID_METHOD_PARAMS: Final[int] # undocumented INTERNAL_ERROR: Final[int] # undocumented class Error(Exception): ... class ProtocolError(Error): url: str errcode: int errmsg: str headers: dict[str, str] def __init__(self, url: str, errcode: int, errmsg: str, headers: dict[str, str]) -> None: ... class ResponseError(Error): ... class Fault(Error): faultCode: int faultString: str def __init__(self, faultCode: int, faultString: str, **extra: Any) -> None: ... boolean = bool Boolean = bool def _iso8601_format(value: datetime) -> str: ... # undocumented def _strftime(value: _XMLDate) -> str: ... # undocumented class DateTime: value: str # undocumented def __init__(self, value: int | str | datetime | time.struct_time | tuple[int, ...] = 0) -> None: ... __hash__: ClassVar[None] # type: ignore[assignment] def __lt__(self, other: _DateTimeComparable) -> bool: ... def __le__(self, other: _DateTimeComparable) -> bool: ... def __gt__(self, other: _DateTimeComparable) -> bool: ... def __ge__(self, other: _DateTimeComparable) -> bool: ... def __eq__(self, other: _DateTimeComparable) -> bool: ... # type: ignore[override] def make_comparable(self, other: _DateTimeComparable) -> tuple[str, str]: ... # undocumented def timetuple(self) -> time.struct_time: ... # undocumented def decode(self, data: Any) -> None: ... def encode(self, out: SupportsWrite[str]) -> None: ... def _datetime(data: Any) -> DateTime: ... # undocumented def _datetime_type(data: str) -> datetime: ... # undocumented class Binary: data: bytes def __init__(self, data: bytes | bytearray | None = None) -> None: ... def decode(self, data: ReadableBuffer) -> None: ... def encode(self, out: SupportsWrite[str]) -> None: ... def __eq__(self, other: object) -> bool: ... __hash__: ClassVar[None] # type: ignore[assignment] def _binary(data: ReadableBuffer) -> Binary: ... # undocumented WRAPPERS: Final[tuple[type[DateTime], type[Binary]]] # undocumented class ExpatParser: # undocumented def __init__(self, target: Unmarshaller) -> None: ... def feed(self, data: str | ReadableBuffer) -> None: ... def close(self) -> None: ... _WriteCallback: TypeAlias = Callable[[str], object] class Marshaller: dispatch: dict[type[_Marshallable] | Literal["_arbitrary_instance"], Callable[[Marshaller, Any, _WriteCallback], None]] memo: dict[Any, None] data: None encoding: str | None allow_none: bool def __init__(self, encoding: str | None = None, allow_none: bool = False) -> None: ... def dumps(self, values: Fault | Iterable[_Marshallable]) -> str: ... def __dump(self, value: _Marshallable, write: _WriteCallback) -> None: ... # undocumented def dump_nil(self, value: None, write: _WriteCallback) -> None: ... def dump_bool(self, value: bool, write: _WriteCallback) -> None: ... def dump_long(self, value: int, write: _WriteCallback) -> None: ... def dump_int(self, value: int, write: _WriteCallback) -> None: ... def dump_double(self, value: float, write: _WriteCallback) -> None: ... def dump_unicode(self, value: str, write: _WriteCallback, escape: Callable[[str], str] = ...) -> None: ... def dump_bytes(self, value: ReadableBuffer, write: _WriteCallback) -> None: ... def dump_array(self, value: Iterable[_Marshallable], write: _WriteCallback) -> None: ... def dump_struct( self, value: Mapping[str, _Marshallable], write: _WriteCallback, escape: Callable[[str], str] = ... ) -> None: ... def dump_datetime(self, value: _XMLDate, write: _WriteCallback) -> None: ... def dump_instance(self, value: object, write: _WriteCallback) -> None: ... class Unmarshaller: dispatch: dict[str, Callable[[Unmarshaller, str], None]] _type: str | None _stack: list[_Marshallable] _marks: list[int] _data: list[str] _value: bool _methodname: str | None _encoding: str append: Callable[[Any], None] _use_datetime: bool _use_builtin_types: bool def __init__(self, use_datetime: bool = False, use_builtin_types: bool = False) -> None: ... def close(self) -> tuple[_Marshallable, ...]: ... def getmethodname(self) -> str | None: ... def xml(self, encoding: str, standalone: Any) -> None: ... # Standalone is ignored def start(self, tag: str, attrs: dict[str, str]) -> None: ... def data(self, text: str) -> None: ... def end(self, tag: str) -> None: ... def end_dispatch(self, tag: str, data: str) -> None: ... def end_nil(self, data: str) -> None: ... def end_boolean(self, data: str) -> None: ... def end_int(self, data: str) -> None: ... def end_double(self, data: str) -> None: ... def end_bigdecimal(self, data: str) -> None: ... def end_string(self, data: str) -> None: ... def end_array(self, data: str) -> None: ... def end_struct(self, data: str) -> None: ... def end_base64(self, data: str) -> None: ... def end_dateTime(self, data: str) -> None: ... def end_value(self, data: str) -> None: ... def end_params(self, data: str) -> None: ... def end_fault(self, data: str) -> None: ... def end_methodName(self, data: str) -> None: ... class _MultiCallMethod: # undocumented __call_list: list[tuple[str, tuple[_Marshallable, ...]]] __name: str def __init__(self, call_list: list[tuple[str, _Marshallable]], name: str) -> None: ... def __getattr__(self, name: str) -> _MultiCallMethod: ... def __call__(self, *args: _Marshallable) -> None: ... class MultiCallIterator: # undocumented results: list[list[_Marshallable]] def __init__(self, results: list[list[_Marshallable]]) -> None: ... def __getitem__(self, i: int) -> _Marshallable: ... class MultiCall: __server: ServerProxy __call_list: list[tuple[str, tuple[_Marshallable, ...]]] def __init__(self, server: ServerProxy) -> None: ... def __getattr__(self, name: str) -> _MultiCallMethod: ... def __call__(self) -> MultiCallIterator: ... # A little white lie FastMarshaller: Marshaller | None FastParser: ExpatParser | None FastUnmarshaller: Unmarshaller | None def getparser(use_datetime: bool = False, use_builtin_types: bool = False) -> tuple[ExpatParser, Unmarshaller]: ... def dumps( params: Fault | tuple[_Marshallable, ...], methodname: str | None = None, methodresponse: bool | None = None, encoding: str | None = None, allow_none: bool = False, ) -> str: ... def loads( data: str | ReadableBuffer, use_datetime: bool = False, use_builtin_types: bool = False ) -> tuple[tuple[_Marshallable, ...], str | None]: ... def gzip_encode(data: ReadableBuffer) -> bytes: ... # undocumented def gzip_decode(data: ReadableBuffer, max_decode: int = 20971520) -> bytes: ... # undocumented class GzipDecodedResponse(gzip.GzipFile): # undocumented io: BytesIO def __init__(self, response: SupportsRead[ReadableBuffer]) -> None: ... class _Method: # undocumented __send: Callable[[str, tuple[_Marshallable, ...]], _Marshallable] __name: str def __init__(self, send: Callable[[str, tuple[_Marshallable, ...]], _Marshallable], name: str) -> None: ... def __getattr__(self, name: str) -> _Method: ... def __call__(self, *args: _Marshallable) -> _Marshallable: ... class Transport: user_agent: str accept_gzip_encoding: bool encode_threshold: int | None _use_datetime: bool _use_builtin_types: bool _connection: tuple[_HostType | None, http.client.HTTPConnection | None] _headers: list[tuple[str, str]] _extra_headers: list[tuple[str, str]] def __init__( self, use_datetime: bool = False, use_builtin_types: bool = False, *, headers: Iterable[tuple[str, str]] = () ) -> None: ... def request( self, host: _HostType, handler: str, request_body: SizedBuffer, verbose: bool = False ) -> tuple[_Marshallable, ...]: ... def single_request( self, host: _HostType, handler: str, request_body: SizedBuffer, verbose: bool = False ) -> tuple[_Marshallable, ...]: ... def getparser(self) -> tuple[ExpatParser, Unmarshaller]: ... def get_host_info(self, host: _HostType) -> tuple[str, list[tuple[str, str]], dict[str, str]]: ... def make_connection(self, host: _HostType) -> http.client.HTTPConnection: ... def close(self) -> None: ... def send_request( self, host: _HostType, handler: str, request_body: SizedBuffer, debug: bool ) -> http.client.HTTPConnection: ... def send_headers(self, connection: http.client.HTTPConnection, headers: list[tuple[str, str]]) -> None: ... def send_content(self, connection: http.client.HTTPConnection, request_body: SizedBuffer) -> None: ... def parse_response(self, response: http.client.HTTPResponse) -> tuple[_Marshallable, ...]: ... class SafeTransport(Transport): def __init__( self, use_datetime: bool = False, use_builtin_types: bool = False, *, headers: Iterable[tuple[str, str]] = (), context: Any | None = None, ) -> None: ... def make_connection(self, host: _HostType) -> http.client.HTTPSConnection: ... class ServerProxy: __host: str __handler: str __transport: Transport __encoding: str __verbose: bool __allow_none: bool def __init__( self, uri: str, transport: Transport | None = None, encoding: str | None = None, verbose: bool = False, allow_none: bool = False, use_datetime: bool = False, use_builtin_types: bool = False, *, headers: Iterable[tuple[str, str]] = (), context: Any | None = None, ) -> None: ... def __getattr__(self, name: str) -> _Method: ... @overload def __call__(self, attr: Literal["close"]) -> Callable[[], None]: ... @overload def __call__(self, attr: Literal["transport"]) -> Transport: ... @overload def __call__(self, attr: str) -> Callable[[], None] | Transport: ... def __enter__(self) -> Self: ... def __exit__( self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: TracebackType | None ) -> None: ... def __close(self) -> None: ... # undocumented def __request(self, methodname: str, params: tuple[_Marshallable, ...]) -> tuple[_Marshallable, ...]: ... # undocumented Server = ServerProxy ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xmlrpc/server.pyi0000644000175100017510000001412715112307767021726 0ustar00runnerrunnerimport http.server import pydoc import socketserver from _typeshed import ReadableBuffer from collections.abc import Callable, Iterable, Mapping from re import Pattern from typing import Any, ClassVar, Protocol, type_check_only from typing_extensions import TypeAlias from xmlrpc.client import Fault, _Marshallable # The dispatch accepts anywhere from 0 to N arguments, no easy way to allow this in mypy @type_check_only class _DispatchArity0(Protocol): def __call__(self) -> _Marshallable: ... @type_check_only class _DispatchArity1(Protocol): def __call__(self, arg1: _Marshallable, /) -> _Marshallable: ... @type_check_only class _DispatchArity2(Protocol): def __call__(self, arg1: _Marshallable, arg2: _Marshallable, /) -> _Marshallable: ... @type_check_only class _DispatchArity3(Protocol): def __call__(self, arg1: _Marshallable, arg2: _Marshallable, arg3: _Marshallable, /) -> _Marshallable: ... @type_check_only class _DispatchArity4(Protocol): def __call__( self, arg1: _Marshallable, arg2: _Marshallable, arg3: _Marshallable, arg4: _Marshallable, / ) -> _Marshallable: ... @type_check_only class _DispatchArityN(Protocol): def __call__(self, *args: _Marshallable) -> _Marshallable: ... _DispatchProtocol: TypeAlias = ( _DispatchArity0 | _DispatchArity1 | _DispatchArity2 | _DispatchArity3 | _DispatchArity4 | _DispatchArityN ) def resolve_dotted_attribute(obj: Any, attr: str, allow_dotted_names: bool = True) -> Any: ... # undocumented def list_public_methods(obj: Any) -> list[str]: ... # undocumented class SimpleXMLRPCDispatcher: # undocumented funcs: dict[str, _DispatchProtocol] instance: Any | None allow_none: bool encoding: str use_builtin_types: bool def __init__(self, allow_none: bool = False, encoding: str | None = None, use_builtin_types: bool = False) -> None: ... def register_instance(self, instance: Any, allow_dotted_names: bool = False) -> None: ... def register_function(self, function: _DispatchProtocol | None = None, name: str | None = None) -> Callable[..., Any]: ... def register_introspection_functions(self) -> None: ... def register_multicall_functions(self) -> None: ... def _marshaled_dispatch( self, data: str | ReadableBuffer, dispatch_method: Callable[[str, tuple[_Marshallable, ...]], Fault | tuple[_Marshallable, ...]] | None = None, path: Any | None = None, ) -> str: ... # undocumented def system_listMethods(self) -> list[str]: ... # undocumented def system_methodSignature(self, method_name: str) -> str: ... # undocumented def system_methodHelp(self, method_name: str) -> str: ... # undocumented def system_multicall(self, call_list: list[dict[str, _Marshallable]]) -> list[_Marshallable]: ... # undocumented def _dispatch(self, method: str, params: Iterable[_Marshallable]) -> _Marshallable: ... # undocumented class SimpleXMLRPCRequestHandler(http.server.BaseHTTPRequestHandler): rpc_paths: ClassVar[tuple[str, ...]] encode_threshold: int # undocumented aepattern: Pattern[str] # undocumented def accept_encodings(self) -> dict[str, float]: ... def is_rpc_path_valid(self) -> bool: ... def do_POST(self) -> None: ... def decode_request_content(self, data: bytes) -> bytes | None: ... def report_404(self) -> None: ... class SimpleXMLRPCServer(socketserver.TCPServer, SimpleXMLRPCDispatcher): _send_traceback_handler: bool def __init__( self, addr: tuple[str, int], requestHandler: type[SimpleXMLRPCRequestHandler] = ..., logRequests: bool = True, allow_none: bool = False, encoding: str | None = None, bind_and_activate: bool = True, use_builtin_types: bool = False, ) -> None: ... class MultiPathXMLRPCServer(SimpleXMLRPCServer): # undocumented dispatchers: dict[str, SimpleXMLRPCDispatcher] def __init__( self, addr: tuple[str, int], requestHandler: type[SimpleXMLRPCRequestHandler] = ..., logRequests: bool = True, allow_none: bool = False, encoding: str | None = None, bind_and_activate: bool = True, use_builtin_types: bool = False, ) -> None: ... def add_dispatcher(self, path: str, dispatcher: SimpleXMLRPCDispatcher) -> SimpleXMLRPCDispatcher: ... def get_dispatcher(self, path: str) -> SimpleXMLRPCDispatcher: ... class CGIXMLRPCRequestHandler(SimpleXMLRPCDispatcher): def __init__(self, allow_none: bool = False, encoding: str | None = None, use_builtin_types: bool = False) -> None: ... def handle_xmlrpc(self, request_text: str) -> None: ... def handle_get(self) -> None: ... def handle_request(self, request_text: str | None = None) -> None: ... class ServerHTMLDoc(pydoc.HTMLDoc): # undocumented def docroutine( # type: ignore[override] self, object: object, name: str, mod: str | None = None, funcs: Mapping[str, str] = {}, classes: Mapping[str, str] = {}, methods: Mapping[str, str] = {}, cl: type | None = None, ) -> str: ... def docserver(self, server_name: str, package_documentation: str, methods: dict[str, str]) -> str: ... class XMLRPCDocGenerator: # undocumented server_name: str server_documentation: str server_title: str def set_server_title(self, server_title: str) -> None: ... def set_server_name(self, server_name: str) -> None: ... def set_server_documentation(self, server_documentation: str) -> None: ... def generate_html_documentation(self) -> str: ... class DocXMLRPCRequestHandler(SimpleXMLRPCRequestHandler): def do_GET(self) -> None: ... class DocXMLRPCServer(SimpleXMLRPCServer, XMLRPCDocGenerator): def __init__( self, addr: tuple[str, int], requestHandler: type[SimpleXMLRPCRequestHandler] = ..., logRequests: bool = True, allow_none: bool = False, encoding: str | None = None, bind_and_activate: bool = True, use_builtin_types: bool = False, ) -> None: ... class DocCGIXMLRPCRequestHandler(CGIXMLRPCRequestHandler, XMLRPCDocGenerator): def __init__(self) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/xxlimited.pyi0000644000175100017510000000075315112307767021122 0ustar00runnerrunnerimport sys from typing import Any, ClassVar, final class Str(str): ... @final class Xxo: def demo(self) -> None: ... if sys.version_info >= (3, 11) and sys.platform != "win32": x_exports: int def foo(i: int, j: int, /) -> Any: ... def new() -> Xxo: ... if sys.version_info >= (3, 10): class Error(Exception): ... else: class error(Exception): ... class Null: __hash__: ClassVar[None] # type: ignore[assignment] def roj(b: Any, /) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zipapp.pyi0000644000175100017510000000105115112307767020406 0ustar00runnerrunnerfrom collections.abc import Callable from pathlib import Path from typing import BinaryIO from typing_extensions import TypeAlias __all__ = ["ZipAppError", "create_archive", "get_interpreter"] _Path: TypeAlias = str | Path | BinaryIO class ZipAppError(ValueError): ... def create_archive( source: _Path, target: _Path | None = None, interpreter: str | None = None, main: str | None = None, filter: Callable[[Path], bool] | None = None, compressed: bool = False, ) -> None: ... def get_interpreter(archive: _Path) -> str: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6207657 mypy-1.19.0/mypy/typeshed/stdlib/zipfile/0000755000175100017510000000000015112310012017776 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zipfile/__init__.pyi0000644000175100017510000003107315112307767022313 0ustar00runnerrunnerimport io import sys from _typeshed import SizedBuffer, StrOrBytesPath, StrPath from collections.abc import Callable, Iterable, Iterator from io import TextIOWrapper from os import PathLike from types import TracebackType from typing import IO, Final, Literal, Protocol, overload, type_check_only from typing_extensions import Self, TypeAlias __all__ = [ "BadZipFile", "BadZipfile", "Path", "error", "ZIP_STORED", "ZIP_DEFLATED", "ZIP_BZIP2", "ZIP_LZMA", "is_zipfile", "ZipInfo", "ZipFile", "PyZipFile", "LargeZipFile", ] if sys.version_info >= (3, 14): __all__ += ["ZIP_ZSTANDARD"] # TODO: use TypeAlias for these two when mypy bugs are fixed # https://github.com/python/mypy/issues/16581 _DateTuple = tuple[int, int, int, int, int, int] # noqa: Y026 _ZipFileMode = Literal["r", "w", "x", "a"] # noqa: Y026 _ReadWriteMode: TypeAlias = Literal["r", "w"] class BadZipFile(Exception): ... BadZipfile = BadZipFile error = BadZipfile class LargeZipFile(Exception): ... @type_check_only class _ZipStream(Protocol): def read(self, n: int, /) -> bytes: ... # The following methods are optional: # def seekable(self) -> bool: ... # def tell(self) -> int: ... # def seek(self, n: int, /) -> object: ... # Stream shape as required by _EndRecData() and _EndRecData64(). @type_check_only class _SupportsReadSeekTell(Protocol): def read(self, n: int = ..., /) -> bytes: ... def seek(self, cookie: int, whence: int, /) -> object: ... def tell(self) -> int: ... @type_check_only class _ClosableZipStream(_ZipStream, Protocol): def close(self) -> object: ... class ZipExtFile(io.BufferedIOBase): MAX_N: int MIN_READ_SIZE: int MAX_SEEK_READ: int newlines: list[bytes] | None mode: _ReadWriteMode name: str @overload def __init__( self, fileobj: _ClosableZipStream, mode: _ReadWriteMode, zipinfo: ZipInfo, pwd: bytes | None, close_fileobj: Literal[True] ) -> None: ... @overload def __init__( self, fileobj: _ClosableZipStream, mode: _ReadWriteMode, zipinfo: ZipInfo, pwd: bytes | None = None, *, close_fileobj: Literal[True], ) -> None: ... @overload def __init__( self, fileobj: _ZipStream, mode: _ReadWriteMode, zipinfo: ZipInfo, pwd: bytes | None = None, close_fileobj: Literal[False] = False, ) -> None: ... def read(self, n: int | None = -1) -> bytes: ... def readline(self, limit: int = -1) -> bytes: ... # type: ignore[override] def peek(self, n: int = 1) -> bytes: ... def read1(self, n: int | None) -> bytes: ... # type: ignore[override] def seek(self, offset: int, whence: int = 0) -> int: ... @type_check_only class _Writer(Protocol): def write(self, s: str, /) -> object: ... @type_check_only class _ZipReadable(Protocol): def seek(self, offset: int, whence: int = 0, /) -> int: ... def read(self, n: int = -1, /) -> bytes: ... @type_check_only class _ZipTellable(Protocol): def tell(self) -> int: ... @type_check_only class _ZipReadableTellable(_ZipReadable, _ZipTellable, Protocol): ... @type_check_only class _ZipWritable(Protocol): def flush(self) -> None: ... def close(self) -> None: ... def write(self, b: bytes, /) -> int: ... class ZipFile: filename: str | None debug: int comment: bytes filelist: list[ZipInfo] fp: IO[bytes] | None NameToInfo: dict[str, ZipInfo] start_dir: int # undocumented compression: int # undocumented compresslevel: int | None # undocumented mode: _ZipFileMode # undocumented pwd: bytes | None # undocumented # metadata_encoding is new in 3.11 if sys.version_info >= (3, 11): @overload def __init__( self, file: StrPath | IO[bytes], mode: _ZipFileMode = "r", compression: int = 0, allowZip64: bool = True, compresslevel: int | None = None, *, strict_timestamps: bool = True, metadata_encoding: str | None = None, ) -> None: ... # metadata_encoding is only allowed for read mode @overload def __init__( self, file: StrPath | _ZipReadable, mode: Literal["r"] = "r", compression: int = 0, allowZip64: bool = True, compresslevel: int | None = None, *, strict_timestamps: bool = True, metadata_encoding: str | None = None, ) -> None: ... @overload def __init__( self, file: StrPath | _ZipWritable, mode: Literal["w", "x"], compression: int = 0, allowZip64: bool = True, compresslevel: int | None = None, *, strict_timestamps: bool = True, metadata_encoding: None = None, ) -> None: ... @overload def __init__( self, file: StrPath | _ZipReadableTellable, mode: Literal["a"], compression: int = 0, allowZip64: bool = True, compresslevel: int | None = None, *, strict_timestamps: bool = True, metadata_encoding: None = None, ) -> None: ... else: @overload def __init__( self, file: StrPath | IO[bytes], mode: _ZipFileMode = "r", compression: int = 0, allowZip64: bool = True, compresslevel: int | None = None, *, strict_timestamps: bool = True, ) -> None: ... @overload def __init__( self, file: StrPath | _ZipReadable, mode: Literal["r"] = "r", compression: int = 0, allowZip64: bool = True, compresslevel: int | None = None, *, strict_timestamps: bool = True, ) -> None: ... @overload def __init__( self, file: StrPath | _ZipWritable, mode: Literal["w", "x"], compression: int = 0, allowZip64: bool = True, compresslevel: int | None = None, *, strict_timestamps: bool = True, ) -> None: ... @overload def __init__( self, file: StrPath | _ZipReadableTellable, mode: Literal["a"], compression: int = 0, allowZip64: bool = True, compresslevel: int | None = None, *, strict_timestamps: bool = True, ) -> None: ... def __enter__(self) -> Self: ... def __exit__( self, type: type[BaseException] | None, value: BaseException | None, traceback: TracebackType | None ) -> None: ... def close(self) -> None: ... def getinfo(self, name: str) -> ZipInfo: ... def infolist(self) -> list[ZipInfo]: ... def namelist(self) -> list[str]: ... def open( self, name: str | ZipInfo, mode: _ReadWriteMode = "r", pwd: bytes | None = None, *, force_zip64: bool = False ) -> IO[bytes]: ... def extract(self, member: str | ZipInfo, path: StrPath | None = None, pwd: bytes | None = None) -> str: ... def extractall( self, path: StrPath | None = None, members: Iterable[str | ZipInfo] | None = None, pwd: bytes | None = None ) -> None: ... def printdir(self, file: _Writer | None = None) -> None: ... def setpassword(self, pwd: bytes) -> None: ... def read(self, name: str | ZipInfo, pwd: bytes | None = None) -> bytes: ... def testzip(self) -> str | None: ... def write( self, filename: StrPath, arcname: StrPath | None = None, compress_type: int | None = None, compresslevel: int | None = None, ) -> None: ... def writestr( self, zinfo_or_arcname: str | ZipInfo, data: SizedBuffer | str, compress_type: int | None = None, compresslevel: int | None = None, ) -> None: ... if sys.version_info >= (3, 11): def mkdir(self, zinfo_or_directory_name: str | ZipInfo, mode: int = 0o777) -> None: ... def __del__(self) -> None: ... class PyZipFile(ZipFile): def __init__( self, file: str | IO[bytes], mode: _ZipFileMode = "r", compression: int = 0, allowZip64: bool = True, optimize: int = -1 ) -> None: ... def writepy(self, pathname: str, basename: str = "", filterfunc: Callable[[str], bool] | None = None) -> None: ... class ZipInfo: __slots__ = ( "orig_filename", "filename", "date_time", "compress_type", "compress_level", "comment", "extra", "create_system", "create_version", "extract_version", "reserved", "flag_bits", "volume", "internal_attr", "external_attr", "header_offset", "CRC", "compress_size", "file_size", "_raw_time", "_end_offset", ) filename: str date_time: _DateTuple compress_type: int comment: bytes extra: bytes create_system: int create_version: int extract_version: int reserved: int flag_bits: int volume: int internal_attr: int external_attr: int header_offset: int CRC: int compress_size: int file_size: int orig_filename: str # undocumented if sys.version_info >= (3, 13): compress_level: int | None def __init__(self, filename: str = "NoName", date_time: _DateTuple = (1980, 1, 1, 0, 0, 0)) -> None: ... @classmethod def from_file(cls, filename: StrPath, arcname: StrPath | None = None, *, strict_timestamps: bool = True) -> Self: ... def is_dir(self) -> bool: ... def FileHeader(self, zip64: bool | None = None) -> bytes: ... if sys.version_info >= (3, 12): from zipfile._path import CompleteDirs as CompleteDirs, Path as Path else: class CompleteDirs(ZipFile): def resolve_dir(self, name: str) -> str: ... @overload @classmethod def make(cls, source: ZipFile) -> CompleteDirs: ... @overload @classmethod def make(cls, source: StrPath | IO[bytes]) -> Self: ... class Path: root: CompleteDirs at: str def __init__(self, root: ZipFile | StrPath | IO[bytes], at: str = "") -> None: ... @property def name(self) -> str: ... @property def parent(self) -> PathLike[str]: ... # undocumented if sys.version_info >= (3, 10): @property def filename(self) -> PathLike[str]: ... # undocumented if sys.version_info >= (3, 11): @property def suffix(self) -> str: ... @property def suffixes(self) -> list[str]: ... @property def stem(self) -> str: ... @overload def open( self, mode: Literal["r", "w"] = "r", encoding: str | None = None, errors: str | None = None, newline: str | None = None, line_buffering: bool = ..., write_through: bool = ..., *, pwd: bytes | None = None, ) -> TextIOWrapper: ... @overload def open(self, mode: Literal["rb", "wb"], *, pwd: bytes | None = None) -> IO[bytes]: ... if sys.version_info >= (3, 10): def iterdir(self) -> Iterator[Self]: ... else: def iterdir(self) -> Iterator[Path]: ... def is_dir(self) -> bool: ... def is_file(self) -> bool: ... def exists(self) -> bool: ... def read_text( self, encoding: str | None = ..., errors: str | None = ..., newline: str | None = ..., line_buffering: bool = ..., write_through: bool = ..., ) -> str: ... def read_bytes(self) -> bytes: ... if sys.version_info >= (3, 10): def joinpath(self, *other: StrPath) -> Path: ... else: def joinpath(self, add: StrPath) -> Path: ... # undocumented def __truediv__(self, add: StrPath) -> Path: ... def is_zipfile(filename: StrOrBytesPath | _SupportsReadSeekTell) -> bool: ... ZIP64_LIMIT: Final[int] ZIP_FILECOUNT_LIMIT: Final[int] ZIP_MAX_COMMENT: Final[int] ZIP_STORED: Final = 0 ZIP_DEFLATED: Final = 8 ZIP_BZIP2: Final = 12 ZIP_LZMA: Final = 14 if sys.version_info >= (3, 14): ZIP_ZSTANDARD: Final = 93 DEFAULT_VERSION: Final[int] ZIP64_VERSION: Final[int] BZIP2_VERSION: Final[int] LZMA_VERSION: Final[int] if sys.version_info >= (3, 14): ZSTANDARD_VERSION: Final[int] MAX_EXTRACT_VERSION: Final[int] ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6207657 mypy-1.19.0/mypy/typeshed/stdlib/zipfile/_path/0000755000175100017510000000000015112310012021071 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zipfile/_path/__init__.pyi0000644000175100017510000000576715112307767023421 0ustar00runnerrunnerimport sys from _typeshed import StrPath from collections.abc import Iterator, Sequence from io import TextIOWrapper from os import PathLike from typing import IO, Literal, TypeVar, overload from typing_extensions import Self from zipfile import ZipFile _ZF = TypeVar("_ZF", bound=ZipFile) if sys.version_info >= (3, 12): __all__ = ["Path"] class InitializedState: def __init__(self, *args: object, **kwargs: object) -> None: ... def __getstate__(self) -> tuple[list[object], dict[object, object]]: ... def __setstate__(self, state: Sequence[tuple[list[object], dict[object, object]]]) -> None: ... class CompleteDirs(InitializedState, ZipFile): def resolve_dir(self, name: str) -> str: ... @overload @classmethod def make(cls, source: ZipFile) -> CompleteDirs: ... @overload @classmethod def make(cls, source: StrPath | IO[bytes]) -> Self: ... if sys.version_info >= (3, 13): @classmethod def inject(cls, zf: _ZF) -> _ZF: ... class Path: root: CompleteDirs at: str def __init__(self, root: ZipFile | StrPath | IO[bytes], at: str = "") -> None: ... @property def name(self) -> str: ... @property def parent(self) -> PathLike[str]: ... # undocumented @property def filename(self) -> PathLike[str]: ... # undocumented @property def suffix(self) -> str: ... @property def suffixes(self) -> list[str]: ... @property def stem(self) -> str: ... @overload def open( self, mode: Literal["r", "w"] = "r", encoding: str | None = None, errors: str | None = None, newline: str | None = None, line_buffering: bool = ..., write_through: bool = ..., *, pwd: bytes | None = None, ) -> TextIOWrapper: ... @overload def open(self, mode: Literal["rb", "wb"], *, pwd: bytes | None = None) -> IO[bytes]: ... def iterdir(self) -> Iterator[Self]: ... def is_dir(self) -> bool: ... def is_file(self) -> bool: ... def exists(self) -> bool: ... def read_text( self, encoding: str | None = ..., errors: str | None = ..., newline: str | None = ..., line_buffering: bool = ..., write_through: bool = ..., ) -> str: ... def read_bytes(self) -> bytes: ... def joinpath(self, *other: StrPath) -> Path: ... def glob(self, pattern: str) -> Iterator[Self]: ... def rglob(self, pattern: str) -> Iterator[Self]: ... def is_symlink(self) -> Literal[False]: ... def relative_to(self, other: Path, *extra: StrPath) -> str: ... def match(self, path_pattern: str) -> bool: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... def __truediv__(self, add: StrPath) -> Path: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zipfile/_path/glob.pyi0000644000175100017510000000165715112307767022577 0ustar00runnerrunnerimport sys from collections.abc import Iterator from re import Match if sys.version_info >= (3, 13): class Translator: if sys.platform == "win32": def __init__(self, seps: str = "\\/") -> None: ... else: def __init__(self, seps: str = "/") -> None: ... def translate(self, pattern: str) -> str: ... def extend(self, pattern: str) -> str: ... def match_dirs(self, pattern: str) -> str: ... def translate_core(self, pattern: str) -> str: ... def replace(self, match: Match[str]) -> str: ... def restrict_rglob(self, pattern: str) -> None: ... def star_not_empty(self, pattern: str) -> str: ... else: def translate(pattern: str) -> str: ... def match_dirs(pattern: str) -> str: ... def translate_core(pattern: str) -> str: ... def replace(match: Match[str]) -> str: ... def separate(pattern: str) -> Iterator[Match[str]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zipimport.pyi0000644000175100017510000000516515112307767021152 0ustar00runnerrunnerimport sys from _typeshed import StrOrBytesPath from importlib.machinery import ModuleSpec from types import CodeType, ModuleType from typing_extensions import deprecated if sys.version_info >= (3, 10): from importlib.readers import ZipReader else: from importlib.abc import ResourceReader if sys.version_info >= (3, 10): from _frozen_importlib_external import _LoaderBasics else: _LoaderBasics = object __all__ = ["ZipImportError", "zipimporter"] class ZipImportError(ImportError): ... class zipimporter(_LoaderBasics): archive: str prefix: str if sys.version_info >= (3, 11): def __init__(self, path: str) -> None: ... else: def __init__(self, path: StrOrBytesPath) -> None: ... if sys.version_info < (3, 12): if sys.version_info >= (3, 10): @deprecated("Deprecated since Python 3.10; removed in Python 3.12. Use `find_spec()` instead.") def find_loader(self, fullname: str, path: str | None = None) -> tuple[zipimporter | None, list[str]]: ... @deprecated("Deprecated since Python 3.10; removed in Python 3.12. Use `find_spec()` instead.") def find_module(self, fullname: str, path: str | None = None) -> zipimporter | None: ... else: def find_loader(self, fullname: str, path: str | None = None) -> tuple[zipimporter | None, list[str]]: ... def find_module(self, fullname: str, path: str | None = None) -> zipimporter | None: ... def get_code(self, fullname: str) -> CodeType: ... def get_data(self, pathname: str) -> bytes: ... def get_filename(self, fullname: str) -> str: ... if sys.version_info >= (3, 14): def get_resource_reader(self, fullname: str) -> ZipReader: ... # undocumented elif sys.version_info >= (3, 10): def get_resource_reader(self, fullname: str) -> ZipReader | None: ... # undocumented else: def get_resource_reader(self, fullname: str) -> ResourceReader | None: ... # undocumented def get_source(self, fullname: str) -> str | None: ... def is_package(self, fullname: str) -> bool: ... if sys.version_info >= (3, 10): @deprecated("Deprecated since Python 3.10; removed in Python 3.15. Use `exec_module()` instead.") def load_module(self, fullname: str) -> ModuleType: ... def exec_module(self, module: ModuleType) -> None: ... def create_module(self, spec: ModuleSpec) -> None: ... def find_spec(self, fullname: str, target: ModuleType | None = None) -> ModuleSpec | None: ... def invalidate_caches(self) -> None: ... else: def load_module(self, fullname: str) -> ModuleType: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zlib.pyi0000644000175100017510000000453315112307767020053 0ustar00runnerrunnerimport sys from _typeshed import ReadableBuffer from typing import Any, Final, final, type_check_only from typing_extensions import Self DEFLATED: Final = 8 DEF_MEM_LEVEL: Final[int] DEF_BUF_SIZE: Final = 16384 MAX_WBITS: Final[int] ZLIB_VERSION: Final[str] ZLIB_RUNTIME_VERSION: Final[str] Z_NO_COMPRESSION: Final = 0 Z_PARTIAL_FLUSH: Final = 1 Z_BEST_COMPRESSION: Final = 9 Z_BEST_SPEED: Final = 1 Z_BLOCK: Final = 5 Z_DEFAULT_COMPRESSION: Final = -1 Z_DEFAULT_STRATEGY: Final = 0 Z_FILTERED: Final = 1 Z_FINISH: Final = 4 Z_FIXED: Final = 4 Z_FULL_FLUSH: Final = 3 Z_HUFFMAN_ONLY: Final = 2 Z_NO_FLUSH: Final = 0 Z_RLE: Final = 3 Z_SYNC_FLUSH: Final = 2 Z_TREES: Final = 6 if sys.version_info >= (3, 14): # Available when zlib was built with zlib-ng ZLIBNG_VERSION: Final[str] class error(Exception): ... # This class is not exposed at runtime. It calls itself zlib.Compress. @final @type_check_only class _Compress: def __copy__(self) -> Self: ... def __deepcopy__(self, memo: Any, /) -> Self: ... def compress(self, data: ReadableBuffer, /) -> bytes: ... def flush(self, mode: int = 4, /) -> bytes: ... def copy(self) -> _Compress: ... # This class is not exposed at runtime. It calls itself zlib.Decompress. @final @type_check_only class _Decompress: @property def unused_data(self) -> bytes: ... @property def unconsumed_tail(self) -> bytes: ... @property def eof(self) -> bool: ... def __copy__(self) -> Self: ... def __deepcopy__(self, memo: Any, /) -> Self: ... def decompress(self, data: ReadableBuffer, /, max_length: int = 0) -> bytes: ... def flush(self, length: int = 16384, /) -> bytes: ... def copy(self) -> _Decompress: ... def adler32(data: ReadableBuffer, value: int = 1, /) -> int: ... if sys.version_info >= (3, 11): def compress(data: ReadableBuffer, /, level: int = -1, wbits: int = 15) -> bytes: ... else: def compress(data: ReadableBuffer, /, level: int = -1) -> bytes: ... def compressobj( level: int = -1, method: int = 8, wbits: int = 15, memLevel: int = 8, strategy: int = 0, zdict: ReadableBuffer | None = None ) -> _Compress: ... def crc32(data: ReadableBuffer, value: int = 0, /) -> int: ... def decompress(data: ReadableBuffer, /, wbits: int = 15, bufsize: int = 16384) -> bytes: ... def decompressobj(wbits: int = 15, zdict: ReadableBuffer = b"") -> _Decompress: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6207657 mypy-1.19.0/mypy/typeshed/stdlib/zoneinfo/0000755000175100017510000000000015112310012020163 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zoneinfo/__init__.pyi0000644000175100017510000000245615112307767022503 0ustar00runnerrunnerimport sys from collections.abc import Iterable from datetime import datetime, timedelta, tzinfo from typing_extensions import Self, disjoint_base from zoneinfo._common import ZoneInfoNotFoundError as ZoneInfoNotFoundError, _IOBytes from zoneinfo._tzpath import ( TZPATH as TZPATH, InvalidTZPathWarning as InvalidTZPathWarning, available_timezones as available_timezones, reset_tzpath as reset_tzpath, ) __all__ = ["ZoneInfo", "reset_tzpath", "available_timezones", "TZPATH", "ZoneInfoNotFoundError", "InvalidTZPathWarning"] @disjoint_base class ZoneInfo(tzinfo): @property def key(self) -> str: ... def __new__(cls, key: str) -> Self: ... @classmethod def no_cache(cls, key: str) -> Self: ... if sys.version_info >= (3, 12): @classmethod def from_file(cls, file_obj: _IOBytes, /, key: str | None = None) -> Self: ... else: @classmethod def from_file(cls, fobj: _IOBytes, /, key: str | None = None) -> Self: ... @classmethod def clear_cache(cls, *, only_keys: Iterable[str] | None = None) -> None: ... def tzname(self, dt: datetime | None, /) -> str | None: ... def utcoffset(self, dt: datetime | None, /) -> timedelta | None: ... def dst(self, dt: datetime | None, /) -> timedelta | None: ... def __dir__() -> list[str]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zoneinfo/_common.pyi0000644000175100017510000000071615112307767022370 0ustar00runnerrunnerimport io from typing import Any, Protocol, type_check_only @type_check_only class _IOBytes(Protocol): def read(self, size: int, /) -> bytes: ... def seek(self, size: int, whence: int = ..., /) -> Any: ... def load_tzdata(key: str) -> io.BufferedReader: ... def load_data( fobj: _IOBytes, ) -> tuple[tuple[int, ...], tuple[int, ...], tuple[int, ...], tuple[int, ...], tuple[str, ...], bytes | None]: ... class ZoneInfoNotFoundError(KeyError): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stdlib/zoneinfo/_tzpath.pyi0000644000175100017510000000101415112307767022402 0ustar00runnerrunnerfrom _typeshed import StrPath from collections.abc import Sequence # Note: Both here and in clear_cache, the types allow the use of `str` where # a sequence of strings is required. This should be remedied if a solution # to this typing bug is found: https://github.com/python/typing/issues/256 def reset_tzpath(to: Sequence[StrPath] | None = None) -> None: ... def find_tzfile(key: str) -> str | None: ... def available_timezones() -> set[str]: ... TZPATH: tuple[str, ...] class InvalidTZPathWarning(RuntimeWarning): ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.423764 mypy-1.19.0/mypy/typeshed/stubs/0000755000175100017510000000000015112310011016212 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.423764 mypy-1.19.0/mypy/typeshed/stubs/librt/0000755000175100017510000000000015112310011017326 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6217656 mypy-1.19.0/mypy/typeshed/stubs/librt/librt/0000755000175100017510000000000015112310012020443 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stubs/librt/librt/__init__.pyi0000644000175100017510000000000015112307767022742 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stubs/librt/librt/base64.pyi0000644000175100017510000000012215112307767022274 0ustar00runnerrunnerdef b64encode(s: bytes) -> bytes: ... def b64decode(s: bytes | str) -> bytes: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stubs/librt/librt/internal.pyi0000644000175100017510000000145615112307767023037 0ustar00runnerrunnerfrom mypy_extensions import u8 class ReadBuffer: def __init__(self, source: bytes) -> None: ... class WriteBuffer: def getvalue(self) -> bytes: ... def write_bool(data: WriteBuffer, value: bool) -> None: ... def read_bool(data: ReadBuffer) -> bool: ... def write_str(data: WriteBuffer, value: str) -> None: ... def read_str(data: ReadBuffer) -> str: ... def write_bytes(data: WriteBuffer, value: bytes) -> None: ... def read_bytes(data: ReadBuffer) -> bytes: ... def write_float(data: WriteBuffer, value: float) -> None: ... def read_float(data: ReadBuffer) -> float: ... def write_int(data: WriteBuffer, value: int) -> None: ... def read_int(data: ReadBuffer) -> int: ... def write_tag(data: WriteBuffer, value: u8) -> None: ... def read_tag(data: ReadBuffer) -> u8: ... def cache_version() -> u8: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6217656 mypy-1.19.0/mypy/typeshed/stubs/mypy-extensions/0000755000175100017510000000000015112310012021406 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typeshed/stubs/mypy-extensions/mypy_extensions.pyi0000644000175100017510000002127415112307767025443 0ustar00runnerrunner# These stubs are forked from typeshed, since we use some definitions that only make # sense in the context of mypy/mypyc (in particular, native int types such as i64). import abc import sys from _collections_abc import dict_items, dict_keys, dict_values from _typeshed import IdentityFunction, Self from collections.abc import Mapping from typing import Any, ClassVar, Generic, SupportsInt, TypeVar, overload, type_check_only from typing_extensions import Never, SupportsIndex from _typeshed import ReadableBuffer, SupportsTrunc _T = TypeVar("_T") _U = TypeVar("_U") # Internal mypy fallback type for all typed dicts (does not exist at runtime) # N.B. Keep this mostly in sync with typing(_extensions)._TypedDict @type_check_only class _TypedDict(Mapping[str, object], metaclass=abc.ABCMeta): __total__: ClassVar[bool] # Unlike typing(_extensions).TypedDict, # subclasses of mypy_extensions.TypedDict do NOT have the __required_keys__ and __optional_keys__ ClassVars def copy(self: Self) -> Self: ... # Using Never so that only calls using mypy plugin hook that specialize the signature # can go through. def setdefault(self, k: Never, default: object) -> object: ... # Mypy plugin hook for 'pop' expects that 'default' has a type variable type. def pop(self, k: Never, default: _T = ...) -> object: ... # pyright: ignore[reportInvalidTypeVarUse] def update(self: Self, __m: Self) -> None: ... def items(self) -> dict_items[str, object]: ... def keys(self) -> dict_keys[str, object]: ... def values(self) -> dict_values[str, object]: ... def __delitem__(self, k: Never) -> None: ... if sys.version_info >= (3, 9): def __or__(self: Self, __other: Self) -> Self: ... def __ior__(self: Self, __other: Self) -> Self: ... def TypedDict(typename: str, fields: dict[str, type[Any]], total: bool = ...) -> type[dict[str, Any]]: ... @overload def Arg(type: _T, name: str | None = ...) -> _T: ... @overload def Arg(*, name: str | None = ...) -> Any: ... @overload def DefaultArg(type: _T, name: str | None = ...) -> _T: ... @overload def DefaultArg(*, name: str | None = ...) -> Any: ... @overload def NamedArg(type: _T, name: str | None = ...) -> _T: ... @overload def NamedArg(*, name: str | None = ...) -> Any: ... @overload def DefaultNamedArg(type: _T, name: str | None = ...) -> _T: ... @overload def DefaultNamedArg(*, name: str | None = ...) -> Any: ... @overload def VarArg(type: _T) -> _T: ... @overload def VarArg() -> Any: ... @overload def KwArg(type: _T) -> _T: ... @overload def KwArg() -> Any: ... # Return type that indicates a function does not return. # Deprecated: Use typing.NoReturn instead. class NoReturn: ... # This is consistent with implementation. Usage intends for this as # a class decorator, but mypy does not support type[_T] for abstract # classes until this issue is resolved, https://github.com/python/mypy/issues/4717. def trait(cls: _T) -> _T: ... def mypyc_attr(*attrs: str, **kwattrs: object) -> IdentityFunction: ... class FlexibleAlias(Generic[_T, _U]): ... # Native int types such as i64 are magical and support implicit # coercions to/from int using special logic in mypy. We generally only # include operations here for which we have specialized primitives. class i64: @overload def __new__(cls, __x: str | ReadableBuffer | SupportsInt | SupportsIndex | SupportsTrunc = ...) -> i64: ... @overload def __new__(cls, __x: str | bytes | bytearray, base: SupportsIndex) -> i64: ... def __add__(self, x: i64) -> i64: ... def __radd__(self, x: i64) -> i64: ... def __sub__(self, x: i64) -> i64: ... def __rsub__(self, x: i64) -> i64: ... def __mul__(self, x: i64) -> i64: ... def __rmul__(self, x: i64) -> i64: ... def __floordiv__(self, x: i64) -> i64: ... def __rfloordiv__(self, x: i64) -> i64: ... def __mod__(self, x: i64) -> i64: ... def __rmod__(self, x: i64) -> i64: ... def __and__(self, x: i64) -> i64: ... def __rand__(self, x: i64) -> i64: ... def __or__(self, x: i64) -> i64: ... def __ror__(self, x: i64) -> i64: ... def __xor__(self, x: i64) -> i64: ... def __rxor__(self, x: i64) -> i64: ... def __lshift__(self, x: i64) -> i64: ... def __rlshift__(self, x: i64) -> i64: ... def __rshift__(self, x: i64) -> i64: ... def __rrshift__(self, x: i64) -> i64: ... def __neg__(self) -> i64: ... def __invert__(self) -> i64: ... def __pos__(self) -> i64: ... def __lt__(self, x: i64) -> bool: ... def __le__(self, x: i64) -> bool: ... def __ge__(self, x: i64) -> bool: ... def __gt__(self, x: i64) -> bool: ... def __index__(self) -> int: ... class i32: @overload def __new__(cls, __x: str | ReadableBuffer | SupportsInt | SupportsIndex | SupportsTrunc = ...) -> i32: ... @overload def __new__(cls, __x: str | bytes | bytearray, base: SupportsIndex) -> i32: ... def __add__(self, x: i32) -> i32: ... def __radd__(self, x: i32) -> i32: ... def __sub__(self, x: i32) -> i32: ... def __rsub__(self, x: i32) -> i32: ... def __mul__(self, x: i32) -> i32: ... def __rmul__(self, x: i32) -> i32: ... def __floordiv__(self, x: i32) -> i32: ... def __rfloordiv__(self, x: i32) -> i32: ... def __mod__(self, x: i32) -> i32: ... def __rmod__(self, x: i32) -> i32: ... def __and__(self, x: i32) -> i32: ... def __rand__(self, x: i32) -> i32: ... def __or__(self, x: i32) -> i32: ... def __ror__(self, x: i32) -> i32: ... def __xor__(self, x: i32) -> i32: ... def __rxor__(self, x: i32) -> i32: ... def __lshift__(self, x: i32) -> i32: ... def __rlshift__(self, x: i32) -> i32: ... def __rshift__(self, x: i32) -> i32: ... def __rrshift__(self, x: i32) -> i32: ... def __neg__(self) -> i32: ... def __invert__(self) -> i32: ... def __pos__(self) -> i32: ... def __lt__(self, x: i32) -> bool: ... def __le__(self, x: i32) -> bool: ... def __ge__(self, x: i32) -> bool: ... def __gt__(self, x: i32) -> bool: ... def __index__(self) -> int: ... class i16: @overload def __new__(cls, __x: str | ReadableBuffer | SupportsInt | SupportsIndex | SupportsTrunc = ...) -> i16: ... @overload def __new__(cls, __x: str | bytes | bytearray, base: SupportsIndex) -> i16: ... def __add__(self, x: i16) -> i16: ... def __radd__(self, x: i16) -> i16: ... def __sub__(self, x: i16) -> i16: ... def __rsub__(self, x: i16) -> i16: ... def __mul__(self, x: i16) -> i16: ... def __rmul__(self, x: i16) -> i16: ... def __floordiv__(self, x: i16) -> i16: ... def __rfloordiv__(self, x: i16) -> i16: ... def __mod__(self, x: i16) -> i16: ... def __rmod__(self, x: i16) -> i16: ... def __and__(self, x: i16) -> i16: ... def __rand__(self, x: i16) -> i16: ... def __or__(self, x: i16) -> i16: ... def __ror__(self, x: i16) -> i16: ... def __xor__(self, x: i16) -> i16: ... def __rxor__(self, x: i16) -> i16: ... def __lshift__(self, x: i16) -> i16: ... def __rlshift__(self, x: i16) -> i16: ... def __rshift__(self, x: i16) -> i16: ... def __rrshift__(self, x: i16) -> i16: ... def __neg__(self) -> i16: ... def __invert__(self) -> i16: ... def __pos__(self) -> i16: ... def __lt__(self, x: i16) -> bool: ... def __le__(self, x: i16) -> bool: ... def __ge__(self, x: i16) -> bool: ... def __gt__(self, x: i16) -> bool: ... def __index__(self) -> int: ... class u8: @overload def __new__(cls, __x: str | ReadableBuffer | SupportsInt | SupportsIndex | SupportsTrunc = ...) -> u8: ... @overload def __new__(cls, __x: str | bytes | bytearray, base: SupportsIndex) -> u8: ... def __add__(self, x: u8) -> u8: ... def __radd__(self, x: u8) -> u8: ... def __sub__(self, x: u8) -> u8: ... def __rsub__(self, x: u8) -> u8: ... def __mul__(self, x: u8) -> u8: ... def __rmul__(self, x: u8) -> u8: ... def __floordiv__(self, x: u8) -> u8: ... def __rfloordiv__(self, x: u8) -> u8: ... def __mod__(self, x: u8) -> u8: ... def __rmod__(self, x: u8) -> u8: ... def __and__(self, x: u8) -> u8: ... def __rand__(self, x: u8) -> u8: ... def __or__(self, x: u8) -> u8: ... def __ror__(self, x: u8) -> u8: ... def __xor__(self, x: u8) -> u8: ... def __rxor__(self, x: u8) -> u8: ... def __lshift__(self, x: u8) -> u8: ... def __rlshift__(self, x: u8) -> u8: ... def __rshift__(self, x: u8) -> u8: ... def __rrshift__(self, x: u8) -> u8: ... def __neg__(self) -> u8: ... def __invert__(self) -> u8: ... def __pos__(self) -> u8: ... def __lt__(self, x: u8) -> bool: ... def __le__(self, x: u8) -> bool: ... def __ge__(self, x: u8) -> bool: ... def __gt__(self, x: u8) -> bool: ... def __index__(self) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typestate.py0000644000175100017510000003716315112307767015663 0ustar00runnerrunner""" A shared state for all TypeInfos that holds global cache and dependency information, and potentially other mutable TypeInfo state. This module contains mutable global state. """ from __future__ import annotations from typing import Final from typing_extensions import TypeAlias as _TypeAlias from mypy.nodes import VARIANCE_NOT_READY, TypeInfo from mypy.server.trigger import make_trigger from mypy.types import Instance, Type, TypeVarId, TypeVarType, get_proper_type MAX_NEGATIVE_CACHE_TYPES: Final = 1000 MAX_NEGATIVE_CACHE_ENTRIES: Final = 10000 # Represents that the 'left' instance is a subtype of the 'right' instance SubtypeRelationship: _TypeAlias = tuple[Instance, Instance] # A tuple encoding the specific conditions under which we performed the subtype check. # (e.g. did we want a proper subtype? A regular subtype while ignoring variance?) SubtypeKind: _TypeAlias = tuple[bool, ...] # A cache that keeps track of whether the given TypeInfo is a part of a particular # subtype relationship SubtypeCache: _TypeAlias = dict[TypeInfo, dict[SubtypeKind, set[SubtypeRelationship]]] class TypeState: """This class provides subtype caching to improve performance of subtype checks. It also holds protocol fine grained dependencies. Note: to avoid leaking global state, 'reset_all_subtype_caches()' should be called after a build has finished and after a daemon shutdown. This subtype cache only exists for performance reasons, resetting subtype caches for a class has no semantic effect. The protocol dependencies however are only stored here, and shouldn't be deleted unless not needed any more (e.g. during daemon shutdown). """ # '_subtype_caches' keeps track of (subtype, supertype) pairs where supertypes are # instances of the given TypeInfo. The cache also keeps track of whether the check # was done in strict optional mode and of the specific *kind* of subtyping relationship, # which we represent as an arbitrary hashable tuple. # We need the caches, since subtype checks for structural types are very slow. _subtype_caches: Final[SubtypeCache] # Same as above but for negative subtyping results. _negative_subtype_caches: Final[SubtypeCache] # This contains protocol dependencies generated after running a full build, # or after an update. These dependencies are special because: # * They are a global property of the program; i.e. some dependencies for imported # classes can be generated in the importing modules. # * Because of the above, they are serialized separately, after a full run, # or a full update. # `proto_deps` can be None if after deserialization it turns out that they are # inconsistent with the other cache files (or an error occurred during deserialization). # A blocking error will be generated in this case, since we can't proceed safely. # For the description of kinds of protocol dependencies and corresponding examples, # see _snapshot_protocol_deps. proto_deps: dict[str, set[str]] | None # Protocols (full names) a given class attempted to implement. # Used to calculate fine grained protocol dependencies and optimize protocol # subtype cache invalidation in fine grained mode. For example, if we pass a value # of type a.A to a function expecting something compatible with protocol p.P, # we'd have 'a.A' -> {'p.P', ...} in the map. This map is flushed after every incremental # update. _attempted_protocols: Final[dict[str, set[str]]] # We also snapshot protocol members of the above protocols. For example, if we pass # a value of type a.A to a function expecting something compatible with Iterable, we'd have # 'a.A' -> {'__iter__', ...} in the map. This map is also flushed after every incremental # update. This map is needed to only generate dependencies like -> # instead of a wildcard to avoid unnecessarily invalidating classes. _checked_against_members: Final[dict[str, set[str]]] # TypeInfos that appeared as a left type (subtype) in a subtype check since latest # dependency snapshot update. This is an optimisation for fine grained mode; during a full # run we only take a dependency snapshot at the very end, so this set will contain all # subtype-checked TypeInfos. After a fine grained update however, we can gather only new # dependencies generated from (typically) few TypeInfos that were subtype-checked # (i.e. appeared as r.h.s. in an assignment or an argument in a function call in # a re-checked target) during the update. _rechecked_types: Final[set[TypeInfo]] # The two attributes below are assumption stacks for subtyping relationships between # recursive type aliases. Normally, one would pass type assumptions as an additional # arguments to is_subtype(), but this would mean updating dozens of related functions # threading this through all callsites (see also comment for TypeInfo.assuming). _assuming: Final[list[tuple[Type, Type]]] _assuming_proper: Final[list[tuple[Type, Type]]] # Ditto for inference of generic constraints against recursive type aliases. inferring: Final[list[tuple[Type, Type]]] # Whether to use joins or unions when solving constraints, see checkexpr.py for details. infer_unions: bool # Whether to use new type inference algorithm that can infer polymorphic types. # This is temporary and will be removed soon when new algorithm is more polished. infer_polymorphic: bool # N.B: We do all of the accesses to these properties through # TypeState, instead of making these classmethods and accessing # via the cls parameter, since mypyc can optimize accesses to # Final attributes of a directly referenced type. def __init__(self) -> None: self._subtype_caches = {} self._negative_subtype_caches = {} self.proto_deps = {} self._attempted_protocols = {} self._checked_against_members = {} self._rechecked_types = set() self._assuming = [] self._assuming_proper = [] self.inferring = [] self.infer_unions = False self.infer_polymorphic = False def is_assumed_subtype(self, left: Type, right: Type) -> bool: for l, r in reversed(self._assuming): if get_proper_type(l) == get_proper_type(left) and get_proper_type( r ) == get_proper_type(right): return True return False def is_assumed_proper_subtype(self, left: Type, right: Type) -> bool: for l, r in reversed(self._assuming_proper): if get_proper_type(l) == get_proper_type(left) and get_proper_type( r ) == get_proper_type(right): return True return False def get_assumptions(self, is_proper: bool) -> list[tuple[Type, Type]]: if is_proper: return self._assuming_proper return self._assuming def reset_all_subtype_caches(self) -> None: """Completely reset all known subtype caches.""" self._subtype_caches.clear() self._negative_subtype_caches.clear() def reset_subtype_caches_for(self, info: TypeInfo) -> None: """Reset subtype caches (if any) for a given supertype TypeInfo.""" if info in self._subtype_caches: self._subtype_caches[info].clear() if info in self._negative_subtype_caches: self._negative_subtype_caches[info].clear() def reset_all_subtype_caches_for(self, info: TypeInfo) -> None: """Reset subtype caches (if any) for a given supertype TypeInfo and its MRO.""" for item in info.mro: self.reset_subtype_caches_for(item) def is_cached_subtype_check(self, kind: SubtypeKind, left: Instance, right: Instance) -> bool: if left.last_known_value is not None or right.last_known_value is not None: # If there is a literal last known value, give up. There # will be an unbounded number of potential types to cache, # making caching less effective. return False info = right.type cache = self._subtype_caches.get(info) if cache is None: return False subcache = cache.get(kind) if subcache is None: return False return (left, right) in subcache def is_cached_negative_subtype_check( self, kind: SubtypeKind, left: Instance, right: Instance ) -> bool: if left.last_known_value is not None or right.last_known_value is not None: # If there is a literal last known value, give up. There # will be an unbounded number of potential types to cache, # making caching less effective. return False info = right.type cache = self._negative_subtype_caches.get(info) if cache is None: return False subcache = cache.get(kind) if subcache is None: return False return (left, right) in subcache def record_subtype_cache_entry( self, kind: SubtypeKind, left: Instance, right: Instance ) -> None: if left.last_known_value is not None or right.last_known_value is not None: # These are unlikely to match, due to the large space of # possible values. Avoid uselessly increasing cache sizes. return if any( (isinstance(tv, TypeVarType) and tv.variance == VARIANCE_NOT_READY) for tv in right.type.defn.type_vars ): # Variance indeterminate -- don't know the result return cache = self._subtype_caches.setdefault(right.type, {}) cache.setdefault(kind, set()).add((left, right)) def record_negative_subtype_cache_entry( self, kind: SubtypeKind, left: Instance, right: Instance ) -> None: if left.last_known_value is not None or right.last_known_value is not None: # These are unlikely to match, due to the large space of # possible values. Avoid uselessly increasing cache sizes. return if len(self._negative_subtype_caches) > MAX_NEGATIVE_CACHE_TYPES: self._negative_subtype_caches.clear() cache = self._negative_subtype_caches.setdefault(right.type, {}) subcache = cache.setdefault(kind, set()) if len(subcache) > MAX_NEGATIVE_CACHE_ENTRIES: subcache.clear() cache.setdefault(kind, set()).add((left, right)) def reset_protocol_deps(self) -> None: """Reset dependencies after a full run or before a daemon shutdown.""" self.proto_deps = {} self._attempted_protocols.clear() self._checked_against_members.clear() self._rechecked_types.clear() def record_protocol_subtype_check(self, left_type: TypeInfo, right_type: TypeInfo) -> None: assert right_type.is_protocol self._rechecked_types.add(left_type) self._attempted_protocols.setdefault(left_type.fullname, set()).add(right_type.fullname) self._checked_against_members.setdefault(left_type.fullname, set()).update( right_type.protocol_members ) def _snapshot_protocol_deps(self) -> dict[str, set[str]]: """Collect protocol attribute dependencies found so far from registered subtype checks. There are three kinds of protocol dependencies. For example, after a subtype check: x: Proto = C() the following dependencies will be generated: 1. ..., , -> 2. ..., , -> [for every attr in Proto members] 3. -> Proto # this one to invalidate the subtype cache The first kind is generated immediately per-module in deps.py (see also an example there for motivation why it is needed). While two other kinds are generated here after all modules are type checked and we have recorded all the subtype checks. To understand these two kinds, consider a simple example: class A: def __iter__(self) -> Iterator[int]: ... it: Iterable[int] = A() We add -> to invalidate the assignment (module target in this case), whenever the signature of a.A.__iter__ changes. We also add -> typing.Iterable, to invalidate the subtype caches of the latter. (Note that the same logic applies to proper subtype checks, and calculating meets and joins, if this involves calling 'subtypes.is_protocol_implementation'). """ deps: dict[str, set[str]] = {} for info in self._rechecked_types: for attr in self._checked_against_members[info.fullname]: # The need for full MRO here is subtle, during an update, base classes of # a concrete class may not be reprocessed, so not all -> deps # are added. for base_info in info.mro[:-1]: trigger = make_trigger(f"{base_info.fullname}.{attr}") if "typing" in trigger or "builtins" in trigger: # TODO: avoid everything from typeshed continue deps.setdefault(trigger, set()).add(make_trigger(info.fullname)) for proto in self._attempted_protocols[info.fullname]: trigger = make_trigger(info.fullname) if "typing" in trigger or "builtins" in trigger: continue # If any class that was checked against a protocol changes, # we need to reset the subtype cache for the protocol. # # Note: strictly speaking, the protocol doesn't need to be # re-checked, we only need to reset the cache, and its uses # elsewhere are still valid (unless invalidated by other deps). deps.setdefault(trigger, set()).add(proto) return deps def update_protocol_deps(self, second_map: dict[str, set[str]] | None = None) -> None: """Update global protocol dependency map. We update the global map incrementally, using a snapshot only from recently type checked types. If second_map is given, update it as well. This is currently used by FineGrainedBuildManager that maintains normal (non-protocol) dependencies. """ assert self.proto_deps is not None, "This should not be called after failed cache load" new_deps = self._snapshot_protocol_deps() for trigger, targets in new_deps.items(): self.proto_deps.setdefault(trigger, set()).update(targets) if second_map is not None: for trigger, targets in new_deps.items(): second_map.setdefault(trigger, set()).update(targets) self._rechecked_types.clear() self._attempted_protocols.clear() self._checked_against_members.clear() def add_all_protocol_deps(self, deps: dict[str, set[str]]) -> None: """Add all known protocol dependencies to deps. This is used by tests and debug output, and also when collecting all collected or loaded dependencies as part of build. """ self.update_protocol_deps() # just in case if self.proto_deps is not None: for trigger, targets in self.proto_deps.items(): deps.setdefault(trigger, set()).update(targets) type_state: Final = TypeState() def reset_global_state() -> None: """Reset most existing global state. Currently most of it is in this module. Few exceptions are strict optional status and functools.lru_cache. """ type_state.reset_all_subtype_caches() type_state.reset_protocol_deps() TypeVarId.next_raw_id = 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typetraverser.py0000644000175100017510000001055015112307767016547 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterable from mypy_extensions import trait from mypy.types import ( AnyType, CallableArgument, CallableType, DeletedType, EllipsisType, ErasedType, Instance, LiteralType, NoneType, Overloaded, Parameters, ParamSpecType, PartialType, PlaceholderType, RawExpressionType, SyntheticTypeVisitor, TupleType, Type, TypeAliasType, TypedDictType, TypeList, TypeType, TypeVarTupleType, TypeVarType, UnboundType, UninhabitedType, UnionType, UnpackType, ) @trait class TypeTraverserVisitor(SyntheticTypeVisitor[None]): """Visitor that traverses all components of a type""" # Atomic types def visit_any(self, t: AnyType, /) -> None: pass def visit_uninhabited_type(self, t: UninhabitedType, /) -> None: pass def visit_none_type(self, t: NoneType, /) -> None: pass def visit_erased_type(self, t: ErasedType, /) -> None: pass def visit_deleted_type(self, t: DeletedType, /) -> None: pass def visit_type_var(self, t: TypeVarType, /) -> None: # Note that type variable values and upper bound aren't treated as # components, since they are components of the type variable # definition. We want to traverse everything just once. t.default.accept(self) def visit_param_spec(self, t: ParamSpecType, /) -> None: # TODO: do we need to traverse prefix here? t.default.accept(self) def visit_parameters(self, t: Parameters, /) -> None: self.traverse_type_list(t.arg_types) def visit_type_var_tuple(self, t: TypeVarTupleType, /) -> None: t.default.accept(self) def visit_literal_type(self, t: LiteralType, /) -> None: t.fallback.accept(self) # Composite types def visit_instance(self, t: Instance, /) -> None: self.traverse_type_tuple(t.args) def visit_callable_type(self, t: CallableType, /) -> None: # FIX generics self.traverse_type_list(t.arg_types) t.ret_type.accept(self) t.fallback.accept(self) if t.type_guard is not None: t.type_guard.accept(self) if t.type_is is not None: t.type_is.accept(self) def visit_tuple_type(self, t: TupleType, /) -> None: self.traverse_type_list(t.items) t.partial_fallback.accept(self) def visit_typeddict_type(self, t: TypedDictType, /) -> None: self.traverse_types(t.items.values()) t.fallback.accept(self) def visit_union_type(self, t: UnionType, /) -> None: self.traverse_type_list(t.items) def visit_overloaded(self, t: Overloaded, /) -> None: self.traverse_types(t.items) def visit_type_type(self, t: TypeType, /) -> None: t.item.accept(self) # Special types (not real types) def visit_callable_argument(self, t: CallableArgument, /) -> None: t.typ.accept(self) def visit_unbound_type(self, t: UnboundType, /) -> None: self.traverse_type_tuple(t.args) def visit_type_list(self, t: TypeList, /) -> None: self.traverse_type_list(t.items) def visit_ellipsis_type(self, t: EllipsisType, /) -> None: pass def visit_placeholder_type(self, t: PlaceholderType, /) -> None: self.traverse_type_list(t.args) def visit_partial_type(self, t: PartialType, /) -> None: pass def visit_raw_expression_type(self, t: RawExpressionType, /) -> None: pass def visit_type_alias_type(self, t: TypeAliasType, /) -> None: # TODO: sometimes we want to traverse target as well # We need to find a way to indicate explicitly the intent, # maybe make this method abstract (like for TypeTranslator)? self.traverse_type_list(t.args) def visit_unpack_type(self, t: UnpackType, /) -> None: t.type.accept(self) # Helpers def traverse_types(self, types: Iterable[Type], /) -> None: for typ in types: typ.accept(self) def traverse_type_list(self, types: list[Type], /) -> None: # Micro-optimization: Specialized for lists for typ in types: typ.accept(self) def traverse_type_tuple(self, types: tuple[Type, ...], /) -> None: # Micro-optimization: Specialized for tuples for typ in types: typ.accept(self) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typevars.py0000644000175100017510000000566415112307767015517 0ustar00runnerrunnerfrom __future__ import annotations from mypy.erasetype import erase_typevars from mypy.nodes import TypeInfo from mypy.types import ( Instance, ParamSpecType, ProperType, TupleType, Type, TypeOfAny, TypeVarLikeType, TypeVarTupleType, TypeVarType, UnpackType, ) from mypy.typevartuples import erased_vars def fill_typevars(typ: TypeInfo) -> Instance | TupleType: """For a non-generic type, return instance type representing the type. For a generic G type with parameters T1, .., Tn, return G[T1, ..., Tn]. """ tvs: list[Type] = [] # TODO: why do we need to keep both typ.type_vars and typ.defn.type_vars? for i in range(len(typ.defn.type_vars)): tv: TypeVarLikeType | UnpackType = typ.defn.type_vars[i] # Change the line number if isinstance(tv, TypeVarType): tv = tv.copy_modified(line=-1, column=-1) elif isinstance(tv, TypeVarTupleType): tv = UnpackType( TypeVarTupleType( tv.name, tv.fullname, tv.id, tv.upper_bound, tv.tuple_fallback, tv.default, line=-1, column=-1, ) ) else: assert isinstance(tv, ParamSpecType) tv = ParamSpecType( tv.name, tv.fullname, tv.id, tv.flavor, tv.upper_bound, tv.default, line=-1, column=-1, ) tvs.append(tv) inst = Instance(typ, tvs) # TODO: do we need to also handle typeddict_type here and below? if typ.tuple_type is None: return inst return typ.tuple_type.copy_modified(fallback=inst) def fill_typevars_with_any(typ: TypeInfo) -> Instance | TupleType: """Apply a correct number of Any's as type arguments to a type.""" inst = Instance(typ, erased_vars(typ.defn.type_vars, TypeOfAny.special_form)) if typ.tuple_type is None: return inst erased_tuple_type = erase_typevars(typ.tuple_type, {tv.id for tv in typ.defn.type_vars}) assert isinstance(erased_tuple_type, ProperType) if isinstance(erased_tuple_type, TupleType): return typ.tuple_type.copy_modified(fallback=inst) return inst def has_no_typevars(typ: Type) -> bool: # We test if a type contains type variables by erasing all type variables # and comparing the result to the original type. We use comparison by equality that # in turn uses `__eq__` defined for types. Note: we can't use `is_same_type` because # it is not safe with unresolved forward references, while this function may be called # before forward references resolution patch pass. Note also that it is not safe to use # `is` comparison because `erase_typevars` doesn't preserve type identity. return typ == erase_typevars(typ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/typevartuples.py0000644000175100017510000000204215112307767016554 0ustar00runnerrunner"""Helpers for interacting with type var tuples.""" from __future__ import annotations from collections.abc import Sequence from mypy.types import ( AnyType, Instance, Type, TypeVarLikeType, TypeVarTupleType, UnpackType, split_with_prefix_and_suffix, ) def split_with_instance( typ: Instance, ) -> tuple[tuple[Type, ...], tuple[Type, ...], tuple[Type, ...]]: assert typ.type.type_var_tuple_prefix is not None assert typ.type.type_var_tuple_suffix is not None return split_with_prefix_and_suffix( typ.args, typ.type.type_var_tuple_prefix, typ.type.type_var_tuple_suffix ) def erased_vars(type_vars: Sequence[TypeVarLikeType], type_of_any: int) -> list[Type]: args: list[Type] = [] for tv in type_vars: # Valid erasure for *Ts is *tuple[Any, ...], not just Any. if isinstance(tv, TypeVarTupleType): args.append(UnpackType(tv.tuple_fallback.copy_modified(args=[AnyType(type_of_any)]))) else: args.append(AnyType(type_of_any)) return args ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/util.py0000644000175100017510000010005615112307767014606 0ustar00runnerrunner"""Utility functions with no non-trivial dependencies.""" from __future__ import annotations import hashlib import io import json import os import re import shutil import sys import time from collections.abc import Container, Iterable, Sequence, Sized from importlib import resources as importlib_resources from typing import IO, Any, Callable, Final, Literal, TypeVar orjson: Any try: import orjson # type: ignore[import-not-found, no-redef, unused-ignore] except ImportError: orjson = None try: import _curses # noqa: F401 import curses CURSES_ENABLED = True except ImportError: CURSES_ENABLED = False T = TypeVar("T") TYPESHED_DIR: Final = str(importlib_resources.files("mypy") / "typeshed") ENCODING_RE: Final = re.compile(rb"([ \t\v]*#.*(\r\n?|\n))??[ \t\v]*#.*coding[:=][ \t]*([-\w.]+)") DEFAULT_SOURCE_OFFSET: Final = 4 DEFAULT_COLUMNS: Final = 80 # At least this number of columns will be shown on each side of # error location when printing source code snippet. MINIMUM_WIDTH: Final = 20 # VT100 color code processing was added in Windows 10, but only the second major update, # Threshold 2. Fortunately, everyone (even on LTSB, Long Term Support Branch) should # have a version of Windows 10 newer than this. Note that Windows 8 and below are not # supported, but are either going out of support, or make up only a few % of the market. MINIMUM_WINDOWS_MAJOR_VT100: Final = 10 MINIMUM_WINDOWS_BUILD_VT100: Final = 10586 SPECIAL_DUNDERS: Final = frozenset( ("__init__", "__new__", "__call__", "__init_subclass__", "__class_getitem__") ) def is_dunder(name: str, exclude_special: bool = False) -> bool: """Returns whether name is a dunder name. Args: exclude_special: Whether to return False for a couple special dunder methods. """ if exclude_special and name in SPECIAL_DUNDERS: return False return name.startswith("__") and name.endswith("__") def is_sunder(name: str) -> bool: return not is_dunder(name) and name.startswith("_") and name.endswith("_") and name != "_" def split_module_names(mod_name: str) -> list[str]: """Return the module and all parent module names. So, if `mod_name` is 'a.b.c', this function will return ['a.b.c', 'a.b', and 'a']. """ out = [mod_name] while "." in mod_name: mod_name = mod_name.rsplit(".", 1)[0] out.append(mod_name) return out def module_prefix(modules: Iterable[str], target: str) -> str | None: result = split_target(modules, target) if result is None: return None return result[0] def split_target(modules: Iterable[str], target: str) -> tuple[str, str] | None: remaining: list[str] = [] while True: if target in modules: return target, ".".join(remaining) components = target.rsplit(".", 1) if len(components) == 1: return None target = components[0] remaining.insert(0, components[1]) def short_type(obj: object) -> str: """Return the last component of the type name of an object. If obj is None, return 'nil'. For example, if obj is 1, return 'int'. """ if obj is None: return "nil" t = str(type(obj)) return t.split(".")[-1].rstrip("'>") def find_python_encoding(text: bytes) -> tuple[str, int]: """PEP-263 for detecting Python file encoding""" result = ENCODING_RE.match(text) if result: line = 2 if result.group(1) else 1 encoding = result.group(3).decode("ascii") # Handle some aliases that Python is happy to accept and that are used in the wild. if encoding.startswith(("iso-latin-1-", "latin-1-")) or encoding == "iso-latin-1": encoding = "latin-1" return encoding, line else: default_encoding = "utf8" return default_encoding, -1 def bytes_to_human_readable_repr(b: bytes) -> str: """Converts bytes into some human-readable representation. Unprintable bytes such as the nul byte are escaped. For example: >>> b = bytes([102, 111, 111, 10, 0]) >>> s = bytes_to_human_readable_repr(b) >>> print(s) foo\n\x00 >>> print(repr(s)) 'foo\\n\\x00' """ return repr(b)[2:-1] class DecodeError(Exception): """Exception raised when a file cannot be decoded due to an unknown encoding type. Essentially a wrapper for the LookupError raised by `bytearray.decode` """ def decode_python_encoding(source: bytes) -> str: """Read the Python file with while obeying PEP-263 encoding detection. Returns the source as a string. """ # check for BOM UTF-8 encoding and strip it out if present if source.startswith(b"\xef\xbb\xbf"): encoding = "utf8" source = source[3:] else: # look at first two lines and check if PEP-263 coding is present encoding, _ = find_python_encoding(source) try: source_text = source.decode(encoding) except LookupError as lookuperr: raise DecodeError(str(lookuperr)) from lookuperr return source_text def read_py_file(path: str, read: Callable[[str], bytes]) -> list[str] | None: """Try reading a Python file as list of source lines. Return None if something goes wrong. """ try: source = read(path) except OSError: return None else: try: source_lines = decode_python_encoding(source).splitlines() except DecodeError: return None return source_lines def trim_source_line(line: str, max_len: int, col: int, min_width: int) -> tuple[str, int]: """Trim a line of source code to fit into max_len. Show 'min_width' characters on each side of 'col' (an error location). If either start or end is trimmed, this is indicated by adding '...' there. A typical result looks like this: ...some_variable = function_to_call(one_arg, other_arg) or... Return the trimmed string and the column offset to adjust error location. """ if max_len < 2 * min_width + 1: # In case the window is too tiny it is better to still show something. max_len = 2 * min_width + 1 # Trivial case: line already fits in. if len(line) <= max_len: return line, 0 # If column is not too large so that there is still min_width after it, # the line doesn't need to be trimmed at the start. if col + min_width < max_len: return line[:max_len] + "...", 0 # Otherwise, if the column is not too close to the end, trim both sides. if col < len(line) - min_width - 1: offset = col - max_len + min_width + 1 return "..." + line[offset : col + min_width + 1] + "...", offset - 3 # Finally, if the column is near the end, just trim the start. return "..." + line[-max_len:], len(line) - max_len - 3 def get_mypy_comments(source: str) -> list[tuple[int, str]]: PREFIX = "# mypy: " # Don't bother splitting up the lines unless we know it is useful if PREFIX not in source: return [] lines = source.split("\n") results = [] for i, line in enumerate(lines): if line.startswith(PREFIX): results.append((i + 1, line[len(PREFIX) :])) return results JUNIT_HEADER_TEMPLATE: Final = """ """ JUNIT_TESTCASE_FAIL_TEMPLATE: Final = """ {text} """ JUNIT_ERROR_TEMPLATE: Final = """ {text} """ JUNIT_TESTCASE_PASS_TEMPLATE: Final = """ """ JUNIT_FOOTER: Final = """ """ def _generate_junit_contents( dt: float, serious: bool, messages_by_file: dict[str | None, list[str]], version: str, platform: str, ) -> str: from xml.sax.saxutils import escape if serious: failures = 0 errors = len(messages_by_file) else: failures = len(messages_by_file) errors = 0 xml = JUNIT_HEADER_TEMPLATE.format( errors=errors, failures=failures, time=dt, # If there are no messages, we still write one "test" indicating success. tests=len(messages_by_file) or 1, ) if not messages_by_file: xml += JUNIT_TESTCASE_PASS_TEMPLATE.format(time=dt, ver=version, platform=platform) else: for filename, messages in messages_by_file.items(): if filename is not None: xml += JUNIT_TESTCASE_FAIL_TEMPLATE.format( text=escape("\n".join(messages)), filename=filename, time=dt, name="mypy-py{ver}-{platform} {filename}".format( ver=version, platform=platform, filename=filename ), ) else: xml += JUNIT_TESTCASE_FAIL_TEMPLATE.format( text=escape("\n".join(messages)), filename="mypy", time=dt, name=f"mypy-py{version}-{platform}", ) xml += JUNIT_FOOTER return xml def write_junit_xml( dt: float, serious: bool, messages_by_file: dict[str | None, list[str]], path: str, version: str, platform: str, ) -> None: xml = _generate_junit_contents(dt, serious, messages_by_file, version, platform) # creates folders if needed xml_dirs = os.path.dirname(os.path.abspath(path)) os.makedirs(xml_dirs, exist_ok=True) with open(path, "wb") as f: f.write(xml.encode("utf-8")) class IdMapper: """Generate integer ids for objects. Unlike id(), these start from 0 and increment by 1, and ids won't get reused across the life-time of IdMapper. Assume objects don't redefine __eq__ or __hash__. """ def __init__(self) -> None: self.id_map: dict[object, int] = {} self.next_id = 0 def id(self, o: object) -> int: if o not in self.id_map: self.id_map[o] = self.next_id self.next_id += 1 return self.id_map[o] def get_prefix(fullname: str) -> str: """Drop the final component of a qualified name (e.g. ('x.y' -> 'x').""" return fullname.rsplit(".", 1)[0] def correct_relative_import( cur_mod_id: str, relative: int, target: str, is_cur_package_init_file: bool ) -> tuple[str, bool]: if relative == 0: return target, True parts = cur_mod_id.split(".") rel = relative if is_cur_package_init_file: rel -= 1 ok = len(parts) >= rel if rel != 0: cur_mod_id = ".".join(parts[:-rel]) return cur_mod_id + (("." + target) if target else ""), ok fields_cache: Final[dict[type[object], list[str]]] = {} def get_class_descriptors(cls: type[object]) -> Sequence[str]: import inspect # Lazy import for minor startup speed win # Maintain a cache of type -> attributes defined by descriptors in the class # (that is, attributes from __slots__ and C extension classes) if cls not in fields_cache: members = inspect.getmembers( cls, lambda o: inspect.isgetsetdescriptor(o) or inspect.ismemberdescriptor(o) ) fields_cache[cls] = [x for x, y in members if x != "__weakref__" and x != "__dict__"] return fields_cache[cls] def replace_object_state( new: object, old: object, copy_dict: bool = False, skip_slots: tuple[str, ...] = () ) -> None: """Copy state of old node to the new node. This handles cases where there is __dict__ and/or attribute descriptors (either from slots or because the type is defined in a C extension module). Assume that both objects have the same __class__. """ if hasattr(old, "__dict__"): if copy_dict: new.__dict__ = dict(old.__dict__) else: new.__dict__ = old.__dict__ for attr in get_class_descriptors(old.__class__): if attr in skip_slots: continue try: if hasattr(old, attr): setattr(new, attr, getattr(old, attr)) elif hasattr(new, attr): delattr(new, attr) # There is no way to distinguish getsetdescriptors that allow # writes from ones that don't (I think?), so we just ignore # AttributeErrors if we need to. # TODO: What about getsetdescriptors that act like properties??? except AttributeError: pass def is_sub_path_normabs(path: str, dir: str) -> bool: """Given two paths, return if path is a sub-path of dir. Moral equivalent of: Path(dir) in Path(path).parents Similar to the pathlib version: - Treats paths case-sensitively - Does not fully handle unnormalised paths (e.g. paths with "..") - Does not handle a mix of absolute and relative paths Unlike the pathlib version: - Fast - On Windows, assumes input has been slash normalised - Handles even fewer unnormalised paths (e.g. paths with "." and "//") As a result, callers should ensure that inputs have had os.path.abspath called on them (note that os.path.abspath will normalise) """ if not dir.endswith(os.sep): dir += os.sep return path.startswith(dir) if sys.platform == "linux" or sys.platform == "darwin": def os_path_join(path: str, b: str) -> str: # Based off of os.path.join, but simplified to str-only, 2 args and mypyc can compile it. if b.startswith("/") or not path: return b elif path.endswith("/"): return path + b else: return path + "/" + b else: def os_path_join(a: str, p: str) -> str: return os.path.join(a, p) def hard_exit(status: int = 0) -> None: """Kill the current process without fully cleaning up. This can be quite a bit faster than a normal exit() since objects are not freed. """ sys.stdout.flush() sys.stderr.flush() os._exit(status) def unmangle(name: str) -> str: """Remove internal suffixes from a short name.""" return name.rstrip("'") def get_unique_redefinition_name(name: str, existing: Container[str]) -> str: """Get a simple redefinition name not present among existing. For example, for name 'foo' we try 'foo-redefinition', 'foo-redefinition2', 'foo-redefinition3', etc. until we find one that is not in existing. """ r_name = name + "-redefinition" if r_name not in existing: return r_name i = 2 while r_name + str(i) in existing: i += 1 return r_name + str(i) def check_python_version(program: str) -> None: """Report issues with the Python used to run mypy, dmypy, or stubgen""" # Check for known bad Python versions. if sys.version_info[:2] < (3, 9): # noqa: UP036, RUF100 sys.exit( "Running {name} with Python 3.8 or lower is not supported; " "please upgrade to 3.9 or newer".format(name=program) ) def count_stats(messages: list[str]) -> tuple[int, int, int]: """Count total number of errors, notes and error_files in message list.""" errors = [e for e in messages if ": error:" in e] error_files = {e.split(":")[0] for e in errors} notes = [e for e in messages if ": note:" in e] return len(errors), len(notes), len(error_files) def split_words(msg: str) -> list[str]: """Split line of text into words (but not within quoted groups).""" next_word = "" res: list[str] = [] allow_break = True for c in msg: if c == " " and allow_break: res.append(next_word) next_word = "" continue if c == '"': allow_break = not allow_break next_word += c res.append(next_word) return res def get_terminal_width() -> int: """Get current terminal width if possible, otherwise return the default one.""" return ( int(os.getenv("MYPY_FORCE_TERMINAL_WIDTH", "0")) or shutil.get_terminal_size().columns or DEFAULT_COLUMNS ) def soft_wrap(msg: str, max_len: int, first_offset: int, num_indent: int = 0) -> str: """Wrap a long error message into few lines. Breaks will only happen between words, and never inside a quoted group (to avoid breaking types such as "Union[int, str]"). The 'first_offset' is the width before the start of first line. Pad every next line with 'num_indent' spaces. Every line will be at most 'max_len' characters, except if it is a single word or quoted group. For example: first_offset ------------------------ path/to/file: error: 58: Some very long error message that needs to be split in separate lines. "Long[Type, Names]" are never split. ^^^^-------------------------------------------------- num_indent max_len """ words = split_words(msg) next_line = words.pop(0) lines: list[str] = [] while words: next_word = words.pop(0) max_line_len = max_len - num_indent if lines else max_len - first_offset # Add 1 to account for space between words. if len(next_line) + len(next_word) + 1 <= max_line_len: next_line += " " + next_word else: lines.append(next_line) next_line = next_word lines.append(next_line) padding = "\n" + " " * num_indent return padding.join(lines) def hash_digest(data: bytes) -> str: """Compute a hash digest of some data. We use a cryptographic hash because we want a low probability of accidental collision, but we don't really care about any of the cryptographic properties. """ return hashlib.sha1(data).hexdigest() def hash_digest_bytes(data: bytes) -> bytes: """Compute a hash digest of some data. Similar to above but returns a bytes object. """ return hashlib.sha1(data).digest() def parse_gray_color(cup: bytes) -> str: """Reproduce a gray color in ANSI escape sequence""" assert sys.platform != "win32", "curses is not available on Windows" set_color = "".join([cup[:-1].decode(), "m"]) gray = curses.tparm(set_color.encode("utf-8"), 1, 9).decode() return gray def should_force_color() -> bool: env_var = os.getenv("MYPY_FORCE_COLOR", os.getenv("FORCE_COLOR", "0")) try: return bool(int(env_var)) except ValueError: return bool(env_var) class FancyFormatter: """Apply color and bold font to terminal output. This currently only works on Linux and Mac. """ def __init__( self, f_out: IO[str], f_err: IO[str], hide_error_codes: bool, hide_success: bool = False ) -> None: self.hide_error_codes = hide_error_codes self.hide_success = hide_success # Check if we are in a human-facing terminal on a supported platform. if sys.platform not in ("linux", "darwin", "win32", "emscripten"): self.dummy_term = True return if not should_force_color() and (not f_out.isatty() or not f_err.isatty()): self.dummy_term = True return if sys.platform == "win32": self.dummy_term = not self.initialize_win_colors() elif sys.platform == "emscripten": self.dummy_term = not self.initialize_vt100_colors() else: self.dummy_term = not self.initialize_unix_colors() if not self.dummy_term: self.colors = { "red": self.RED, "green": self.GREEN, "blue": self.BLUE, "yellow": self.YELLOW, "none": "", } def initialize_vt100_colors(self) -> bool: """Return True if initialization was successful and we can use colors, False otherwise""" # Windows and Emscripten can both use ANSI/VT100 escape sequences for color assert sys.platform in ("win32", "emscripten") self.BOLD = "\033[1m" self.UNDER = "\033[4m" self.BLUE = "\033[94m" self.GREEN = "\033[92m" self.RED = "\033[91m" self.YELLOW = "\033[93m" self.NORMAL = "\033[0m" self.DIM = "\033[2m" return True def initialize_win_colors(self) -> bool: """Return True if initialization was successful and we can use colors, False otherwise""" # Windows ANSI escape sequences are only supported on Threshold 2 and above. # we check with an assert at runtime and an if check for mypy, as asserts do not # yet narrow platform if sys.platform == "win32": # needed to find win specific sys apis winver = sys.getwindowsversion() if ( winver.major < MINIMUM_WINDOWS_MAJOR_VT100 or winver.build < MINIMUM_WINDOWS_BUILD_VT100 ): return False import ctypes kernel32 = ctypes.windll.kernel32 ENABLE_PROCESSED_OUTPUT = 0x1 ENABLE_WRAP_AT_EOL_OUTPUT = 0x2 ENABLE_VIRTUAL_TERMINAL_PROCESSING = 0x4 STD_OUTPUT_HANDLE = -11 kernel32.SetConsoleMode( kernel32.GetStdHandle(STD_OUTPUT_HANDLE), ENABLE_PROCESSED_OUTPUT | ENABLE_WRAP_AT_EOL_OUTPUT | ENABLE_VIRTUAL_TERMINAL_PROCESSING, ) self.initialize_vt100_colors() return True assert False, "Running not on Windows" def initialize_unix_colors(self) -> bool: """Return True if initialization was successful and we can use colors, False otherwise""" is_win = sys.platform == "win32" if is_win or not CURSES_ENABLED: return False try: # setupterm wants a fd to potentially write an "initialization sequence". # We override sys.stdout for the daemon API so if stdout doesn't have an fd, # just give it /dev/null. try: fd = sys.stdout.fileno() except io.UnsupportedOperation: with open("/dev/null", "rb") as f: curses.setupterm(fd=f.fileno()) else: curses.setupterm(fd=fd) except curses.error: # Most likely terminfo not found. return False bold = curses.tigetstr("bold") under = curses.tigetstr("smul") set_color = curses.tigetstr("setaf") set_eseq = curses.tigetstr("cup") normal = curses.tigetstr("sgr0") if not (bold and under and set_color and set_eseq and normal): return False self.NORMAL = normal.decode() self.BOLD = bold.decode() self.UNDER = under.decode() self.DIM = parse_gray_color(set_eseq) self.BLUE = curses.tparm(set_color, curses.COLOR_BLUE).decode() self.GREEN = curses.tparm(set_color, curses.COLOR_GREEN).decode() self.RED = curses.tparm(set_color, curses.COLOR_RED).decode() self.YELLOW = curses.tparm(set_color, curses.COLOR_YELLOW).decode() return True def style( self, text: str, color: Literal["red", "green", "blue", "yellow", "none"], bold: bool = False, underline: bool = False, dim: bool = False, ) -> str: """Apply simple color and style (underlined or bold).""" if self.dummy_term: return text if bold: start = self.BOLD else: start = "" if underline: start += self.UNDER if dim: start += self.DIM return start + self.colors[color] + text + self.NORMAL def fit_in_terminal( self, messages: list[str], fixed_terminal_width: int | None = None ) -> list[str]: """Improve readability by wrapping error messages and trimming source code.""" width = fixed_terminal_width or get_terminal_width() new_messages = messages.copy() for i, error in enumerate(messages): if ": error:" in error: loc, msg = error.split("error:", maxsplit=1) msg = soft_wrap(msg, width, first_offset=len(loc) + len("error: ")) new_messages[i] = loc + "error:" + msg if error.startswith(" " * DEFAULT_SOURCE_OFFSET) and "^" not in error: # TODO: detecting source code highlights through an indent can be surprising. # Restore original error message and error location. error = error[DEFAULT_SOURCE_OFFSET:] marker_line = messages[i + 1] marker_column = marker_line.index("^") column = marker_column - DEFAULT_SOURCE_OFFSET if "~" not in marker_line: marker = "^" else: # +1 because both ends are included marker = marker_line[marker_column : marker_line.rindex("~") + 1] # Let source have some space also on the right side, plus 6 # to accommodate ... on each side. max_len = width - DEFAULT_SOURCE_OFFSET - 6 source_line, offset = trim_source_line(error, max_len, column, MINIMUM_WIDTH) new_messages[i] = " " * DEFAULT_SOURCE_OFFSET + source_line # Also adjust the error marker position and trim error marker is needed. new_marker_line = " " * (DEFAULT_SOURCE_OFFSET + column - offset) + marker if len(new_marker_line) > len(new_messages[i]) and len(marker) > 3: new_marker_line = new_marker_line[: len(new_messages[i]) - 3] + "..." new_messages[i + 1] = new_marker_line return new_messages def colorize(self, error: str) -> str: """Colorize an output line by highlighting the status and error code.""" if ": error:" in error: loc, msg = error.split("error:", maxsplit=1) if self.hide_error_codes: return ( loc + self.style("error:", "red", bold=True) + self.highlight_quote_groups(msg) ) codepos = msg.rfind("[") if codepos != -1: code = msg[codepos:] msg = msg[:codepos] else: code = "" # no error code specified return ( loc + self.style("error:", "red", bold=True) + self.highlight_quote_groups(msg) + self.style(code, "yellow") ) elif ": note:" in error: loc, msg = error.split("note:", maxsplit=1) formatted = self.highlight_quote_groups(self.underline_link(msg)) return loc + self.style("note:", "blue") + formatted elif error.startswith(" " * DEFAULT_SOURCE_OFFSET): # TODO: detecting source code highlights through an indent can be surprising. if "^" not in error: return self.style(error, "none", dim=True) return self.style(error, "red") else: return error def highlight_quote_groups(self, msg: str) -> str: """Make groups quoted with double quotes bold (including quotes). This is used to highlight types, attribute names etc. """ if msg.count('"') % 2: # Broken error message, don't do any formatting. return msg parts = msg.split('"') out = "" for i, part in enumerate(parts): if i % 2 == 0: out += self.style(part, "none") else: out += self.style('"' + part + '"', "none", bold=True) return out def underline_link(self, note: str) -> str: """Underline a link in a note message (if any). This assumes there is at most one link in the message. """ match = re.search(r"https?://\S*", note) if not match: return note start = match.start() end = match.end() return note[:start] + self.style(note[start:end], "none", underline=True) + note[end:] def format_success(self, n_sources: int, use_color: bool = True) -> str: """Format short summary in case of success. n_sources is total number of files passed directly on command line, i.e. excluding stubs and followed imports. """ if self.hide_success: return "" msg = f"Success: no issues found in {n_sources} source file{plural_s(n_sources)}" if not use_color: return msg return self.style(msg, "green", bold=True) def format_error( self, n_errors: int, n_files: int, n_sources: int, *, blockers: bool = False, use_color: bool = True, ) -> str: """Format a short summary in case of errors.""" msg = f"Found {n_errors} error{plural_s(n_errors)} in {n_files} file{plural_s(n_files)}" if blockers: msg += " (errors prevented further checking)" else: msg += f" (checked {n_sources} source file{plural_s(n_sources)})" if not use_color: return msg return self.style(msg, "red", bold=True) def is_typeshed_file(typeshed_dir: str | None, file: str) -> bool: typeshed_dir = typeshed_dir if typeshed_dir is not None else TYPESHED_DIR try: return os.path.commonpath((typeshed_dir, os.path.abspath(file))) == typeshed_dir except ValueError: # Different drives on Windows return False def is_stdlib_file(typeshed_dir: str | None, file: str) -> bool: if "stdlib" not in file: # Fast path return False typeshed_dir = typeshed_dir if typeshed_dir is not None else TYPESHED_DIR stdlib_dir = os.path.join(typeshed_dir, "stdlib") try: return os.path.commonpath((stdlib_dir, os.path.abspath(file))) == stdlib_dir except ValueError: # Different drives on Windows return False def is_stub_package_file(file: str) -> bool: # Use hacky heuristics to check whether file is part of a PEP 561 stub package. if not file.endswith(".pyi"): return False return any(component.endswith("-stubs") for component in os.path.split(os.path.abspath(file))) def unnamed_function(name: str | None) -> bool: return name is not None and name == "_" time_ref = time.perf_counter_ns def time_spent_us(t0: int) -> int: return int((time.perf_counter_ns() - t0) / 1000) def plural_s(s: int | Sized) -> str: count = s if isinstance(s, int) else len(s) if count != 1: return "s" else: return "" def quote_docstring(docstr: str) -> str: """Returns docstring correctly encapsulated in a single or double quoted form.""" # Uses repr to get hint on the correct quotes and escape everything properly. # Creating multiline string for prettier output. docstr_repr = "\n".join(re.split(r"(?<=[^\\])\\n", repr(docstr))) if docstr_repr.startswith("'"): # Enforce double quotes when it's safe to do so. # That is when double quotes are not in the string # or when it doesn't end with a single quote. if '"' not in docstr_repr[1:-1] and docstr_repr[-2] != "'": return f'"""{docstr_repr[1:-1]}"""' return f"''{docstr_repr}''" else: return f'""{docstr_repr}""' def json_dumps(obj: object, debug: bool = False) -> bytes: if orjson is not None: if debug: dumps_option = orjson.OPT_INDENT_2 | orjson.OPT_SORT_KEYS else: # TODO: If we don't sort keys here, testIncrementalInternalScramble fails # We should document exactly what is going on there dumps_option = orjson.OPT_SORT_KEYS try: return orjson.dumps(obj, option=dumps_option) # type: ignore[no-any-return] except TypeError as e: if str(e) != "Integer exceeds 64-bit range": raise if debug: return json.dumps(obj, indent=2, sort_keys=True).encode("utf-8") else: # See above for sort_keys comment return json.dumps(obj, sort_keys=True, separators=(",", ":")).encode("utf-8") def json_loads(data: bytes) -> Any: if orjson is not None: return orjson.loads(data) return json.loads(data) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/version.py0000644000175100017510000000112315112307767015311 0ustar00runnerrunnerfrom __future__ import annotations import os from mypy import git # Base version. # - Release versions have the form "1.2.3". # - Dev versions have the form "1.2.3+dev" (PLUS sign to conform to PEP 440). # - Before 1.0 we had the form "0.NNN". __version__ = "1.19.0" base_version = __version__ mypy_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__))) if __version__.endswith("+dev") and git.is_git_repo(mypy_dir) and git.have_git(): __version__ += "." + git.git_revision(mypy_dir).decode("utf-8") if git.is_dirty(mypy_dir): __version__ += ".dirty" del mypy_dir ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/visitor.py0000644000175100017510000004417615112307767015342 0ustar00runnerrunner"""Generic abstract syntax tree node visitor""" from __future__ import annotations from abc import abstractmethod from typing import TYPE_CHECKING, Generic, TypeVar from mypy_extensions import mypyc_attr, trait if TYPE_CHECKING: # break import cycle only needed for mypy import mypy.nodes import mypy.patterns T = TypeVar("T") @trait @mypyc_attr(allow_interpreted_subclasses=True) class ExpressionVisitor(Generic[T]): @abstractmethod def visit_int_expr(self, o: mypy.nodes.IntExpr, /) -> T: pass @abstractmethod def visit_str_expr(self, o: mypy.nodes.StrExpr, /) -> T: pass @abstractmethod def visit_bytes_expr(self, o: mypy.nodes.BytesExpr, /) -> T: pass @abstractmethod def visit_float_expr(self, o: mypy.nodes.FloatExpr, /) -> T: pass @abstractmethod def visit_complex_expr(self, o: mypy.nodes.ComplexExpr, /) -> T: pass @abstractmethod def visit_ellipsis(self, o: mypy.nodes.EllipsisExpr, /) -> T: pass @abstractmethod def visit_star_expr(self, o: mypy.nodes.StarExpr, /) -> T: pass @abstractmethod def visit_name_expr(self, o: mypy.nodes.NameExpr, /) -> T: pass @abstractmethod def visit_member_expr(self, o: mypy.nodes.MemberExpr, /) -> T: pass @abstractmethod def visit_yield_from_expr(self, o: mypy.nodes.YieldFromExpr, /) -> T: pass @abstractmethod def visit_yield_expr(self, o: mypy.nodes.YieldExpr, /) -> T: pass @abstractmethod def visit_call_expr(self, o: mypy.nodes.CallExpr, /) -> T: pass @abstractmethod def visit_op_expr(self, o: mypy.nodes.OpExpr, /) -> T: pass @abstractmethod def visit_comparison_expr(self, o: mypy.nodes.ComparisonExpr, /) -> T: pass @abstractmethod def visit_cast_expr(self, o: mypy.nodes.CastExpr, /) -> T: pass @abstractmethod def visit_type_form_expr(self, o: mypy.nodes.TypeFormExpr, /) -> T: pass @abstractmethod def visit_assert_type_expr(self, o: mypy.nodes.AssertTypeExpr, /) -> T: pass @abstractmethod def visit_reveal_expr(self, o: mypy.nodes.RevealExpr, /) -> T: pass @abstractmethod def visit_super_expr(self, o: mypy.nodes.SuperExpr, /) -> T: pass @abstractmethod def visit_unary_expr(self, o: mypy.nodes.UnaryExpr, /) -> T: pass @abstractmethod def visit_assignment_expr(self, o: mypy.nodes.AssignmentExpr, /) -> T: pass @abstractmethod def visit_list_expr(self, o: mypy.nodes.ListExpr, /) -> T: pass @abstractmethod def visit_dict_expr(self, o: mypy.nodes.DictExpr, /) -> T: pass @abstractmethod def visit_tuple_expr(self, o: mypy.nodes.TupleExpr, /) -> T: pass @abstractmethod def visit_set_expr(self, o: mypy.nodes.SetExpr, /) -> T: pass @abstractmethod def visit_index_expr(self, o: mypy.nodes.IndexExpr, /) -> T: pass @abstractmethod def visit_type_application(self, o: mypy.nodes.TypeApplication, /) -> T: pass @abstractmethod def visit_lambda_expr(self, o: mypy.nodes.LambdaExpr, /) -> T: pass @abstractmethod def visit_list_comprehension(self, o: mypy.nodes.ListComprehension, /) -> T: pass @abstractmethod def visit_set_comprehension(self, o: mypy.nodes.SetComprehension, /) -> T: pass @abstractmethod def visit_dictionary_comprehension(self, o: mypy.nodes.DictionaryComprehension, /) -> T: pass @abstractmethod def visit_generator_expr(self, o: mypy.nodes.GeneratorExpr, /) -> T: pass @abstractmethod def visit_slice_expr(self, o: mypy.nodes.SliceExpr, /) -> T: pass @abstractmethod def visit_conditional_expr(self, o: mypy.nodes.ConditionalExpr, /) -> T: pass @abstractmethod def visit_type_var_expr(self, o: mypy.nodes.TypeVarExpr, /) -> T: pass @abstractmethod def visit_paramspec_expr(self, o: mypy.nodes.ParamSpecExpr, /) -> T: pass @abstractmethod def visit_type_var_tuple_expr(self, o: mypy.nodes.TypeVarTupleExpr, /) -> T: pass @abstractmethod def visit_type_alias_expr(self, o: mypy.nodes.TypeAliasExpr, /) -> T: pass @abstractmethod def visit_namedtuple_expr(self, o: mypy.nodes.NamedTupleExpr, /) -> T: pass @abstractmethod def visit_enum_call_expr(self, o: mypy.nodes.EnumCallExpr, /) -> T: pass @abstractmethod def visit_typeddict_expr(self, o: mypy.nodes.TypedDictExpr, /) -> T: pass @abstractmethod def visit_newtype_expr(self, o: mypy.nodes.NewTypeExpr, /) -> T: pass @abstractmethod def visit__promote_expr(self, o: mypy.nodes.PromoteExpr, /) -> T: pass @abstractmethod def visit_await_expr(self, o: mypy.nodes.AwaitExpr, /) -> T: pass @abstractmethod def visit_temp_node(self, o: mypy.nodes.TempNode, /) -> T: pass @trait @mypyc_attr(allow_interpreted_subclasses=True) class StatementVisitor(Generic[T]): # Definitions @abstractmethod def visit_assignment_stmt(self, o: mypy.nodes.AssignmentStmt, /) -> T: pass @abstractmethod def visit_for_stmt(self, o: mypy.nodes.ForStmt, /) -> T: pass @abstractmethod def visit_with_stmt(self, o: mypy.nodes.WithStmt, /) -> T: pass @abstractmethod def visit_del_stmt(self, o: mypy.nodes.DelStmt, /) -> T: pass @abstractmethod def visit_func_def(self, o: mypy.nodes.FuncDef, /) -> T: pass @abstractmethod def visit_overloaded_func_def(self, o: mypy.nodes.OverloadedFuncDef, /) -> T: pass @abstractmethod def visit_class_def(self, o: mypy.nodes.ClassDef, /) -> T: pass @abstractmethod def visit_global_decl(self, o: mypy.nodes.GlobalDecl, /) -> T: pass @abstractmethod def visit_nonlocal_decl(self, o: mypy.nodes.NonlocalDecl, /) -> T: pass @abstractmethod def visit_decorator(self, o: mypy.nodes.Decorator, /) -> T: pass # Module structure @abstractmethod def visit_import(self, o: mypy.nodes.Import, /) -> T: pass @abstractmethod def visit_import_from(self, o: mypy.nodes.ImportFrom, /) -> T: pass @abstractmethod def visit_import_all(self, o: mypy.nodes.ImportAll, /) -> T: pass # Statements @abstractmethod def visit_block(self, o: mypy.nodes.Block, /) -> T: pass @abstractmethod def visit_expression_stmt(self, o: mypy.nodes.ExpressionStmt, /) -> T: pass @abstractmethod def visit_operator_assignment_stmt(self, o: mypy.nodes.OperatorAssignmentStmt, /) -> T: pass @abstractmethod def visit_while_stmt(self, o: mypy.nodes.WhileStmt, /) -> T: pass @abstractmethod def visit_return_stmt(self, o: mypy.nodes.ReturnStmt, /) -> T: pass @abstractmethod def visit_assert_stmt(self, o: mypy.nodes.AssertStmt, /) -> T: pass @abstractmethod def visit_if_stmt(self, o: mypy.nodes.IfStmt, /) -> T: pass @abstractmethod def visit_break_stmt(self, o: mypy.nodes.BreakStmt, /) -> T: pass @abstractmethod def visit_continue_stmt(self, o: mypy.nodes.ContinueStmt, /) -> T: pass @abstractmethod def visit_pass_stmt(self, o: mypy.nodes.PassStmt, /) -> T: pass @abstractmethod def visit_raise_stmt(self, o: mypy.nodes.RaiseStmt, /) -> T: pass @abstractmethod def visit_try_stmt(self, o: mypy.nodes.TryStmt, /) -> T: pass @abstractmethod def visit_match_stmt(self, o: mypy.nodes.MatchStmt, /) -> T: pass @abstractmethod def visit_type_alias_stmt(self, o: mypy.nodes.TypeAliasStmt, /) -> T: pass @trait @mypyc_attr(allow_interpreted_subclasses=True) class PatternVisitor(Generic[T]): @abstractmethod def visit_as_pattern(self, o: mypy.patterns.AsPattern, /) -> T: pass @abstractmethod def visit_or_pattern(self, o: mypy.patterns.OrPattern, /) -> T: pass @abstractmethod def visit_value_pattern(self, o: mypy.patterns.ValuePattern, /) -> T: pass @abstractmethod def visit_singleton_pattern(self, o: mypy.patterns.SingletonPattern, /) -> T: pass @abstractmethod def visit_sequence_pattern(self, o: mypy.patterns.SequencePattern, /) -> T: pass @abstractmethod def visit_starred_pattern(self, o: mypy.patterns.StarredPattern, /) -> T: pass @abstractmethod def visit_mapping_pattern(self, o: mypy.patterns.MappingPattern, /) -> T: pass @abstractmethod def visit_class_pattern(self, o: mypy.patterns.ClassPattern, /) -> T: pass @trait @mypyc_attr(allow_interpreted_subclasses=True) class NodeVisitor(Generic[T], ExpressionVisitor[T], StatementVisitor[T], PatternVisitor[T]): """Empty base class for parse tree node visitors. The T type argument specifies the return type of the visit methods. As all methods defined here raise by default, subclasses do not always need to override all the methods. """ # Not in superclasses: def visit_mypy_file(self, o: mypy.nodes.MypyFile, /) -> T: raise NotImplementedError() # TODO: We have a visit_var method, but no visit_typeinfo or any # other non-Statement SymbolNode (accepting those will raise a # runtime error). Maybe this should be resolved in some direction. def visit_var(self, o: mypy.nodes.Var, /) -> T: raise NotImplementedError() # Module structure def visit_import(self, o: mypy.nodes.Import, /) -> T: raise NotImplementedError() def visit_import_from(self, o: mypy.nodes.ImportFrom, /) -> T: raise NotImplementedError() def visit_import_all(self, o: mypy.nodes.ImportAll, /) -> T: raise NotImplementedError() # Definitions def visit_func_def(self, o: mypy.nodes.FuncDef, /) -> T: raise NotImplementedError() def visit_overloaded_func_def(self, o: mypy.nodes.OverloadedFuncDef, /) -> T: raise NotImplementedError() def visit_class_def(self, o: mypy.nodes.ClassDef, /) -> T: raise NotImplementedError() def visit_global_decl(self, o: mypy.nodes.GlobalDecl, /) -> T: raise NotImplementedError() def visit_nonlocal_decl(self, o: mypy.nodes.NonlocalDecl, /) -> T: raise NotImplementedError() def visit_decorator(self, o: mypy.nodes.Decorator, /) -> T: raise NotImplementedError() def visit_type_alias(self, o: mypy.nodes.TypeAlias, /) -> T: raise NotImplementedError() def visit_placeholder_node(self, o: mypy.nodes.PlaceholderNode, /) -> T: raise NotImplementedError() # Statements def visit_block(self, o: mypy.nodes.Block, /) -> T: raise NotImplementedError() def visit_expression_stmt(self, o: mypy.nodes.ExpressionStmt, /) -> T: raise NotImplementedError() def visit_assignment_stmt(self, o: mypy.nodes.AssignmentStmt, /) -> T: raise NotImplementedError() def visit_operator_assignment_stmt(self, o: mypy.nodes.OperatorAssignmentStmt, /) -> T: raise NotImplementedError() def visit_while_stmt(self, o: mypy.nodes.WhileStmt, /) -> T: raise NotImplementedError() def visit_for_stmt(self, o: mypy.nodes.ForStmt, /) -> T: raise NotImplementedError() def visit_return_stmt(self, o: mypy.nodes.ReturnStmt, /) -> T: raise NotImplementedError() def visit_assert_stmt(self, o: mypy.nodes.AssertStmt, /) -> T: raise NotImplementedError() def visit_del_stmt(self, o: mypy.nodes.DelStmt, /) -> T: raise NotImplementedError() def visit_if_stmt(self, o: mypy.nodes.IfStmt, /) -> T: raise NotImplementedError() def visit_break_stmt(self, o: mypy.nodes.BreakStmt, /) -> T: raise NotImplementedError() def visit_continue_stmt(self, o: mypy.nodes.ContinueStmt, /) -> T: raise NotImplementedError() def visit_pass_stmt(self, o: mypy.nodes.PassStmt, /) -> T: raise NotImplementedError() def visit_raise_stmt(self, o: mypy.nodes.RaiseStmt, /) -> T: raise NotImplementedError() def visit_try_stmt(self, o: mypy.nodes.TryStmt, /) -> T: raise NotImplementedError() def visit_with_stmt(self, o: mypy.nodes.WithStmt, /) -> T: raise NotImplementedError() def visit_match_stmt(self, o: mypy.nodes.MatchStmt, /) -> T: raise NotImplementedError() def visit_type_alias_stmt(self, o: mypy.nodes.TypeAliasStmt, /) -> T: raise NotImplementedError() # Expressions (default no-op implementation) def visit_int_expr(self, o: mypy.nodes.IntExpr, /) -> T: raise NotImplementedError() def visit_str_expr(self, o: mypy.nodes.StrExpr, /) -> T: raise NotImplementedError() def visit_bytes_expr(self, o: mypy.nodes.BytesExpr, /) -> T: raise NotImplementedError() def visit_float_expr(self, o: mypy.nodes.FloatExpr, /) -> T: raise NotImplementedError() def visit_complex_expr(self, o: mypy.nodes.ComplexExpr, /) -> T: raise NotImplementedError() def visit_ellipsis(self, o: mypy.nodes.EllipsisExpr, /) -> T: raise NotImplementedError() def visit_star_expr(self, o: mypy.nodes.StarExpr, /) -> T: raise NotImplementedError() def visit_name_expr(self, o: mypy.nodes.NameExpr, /) -> T: raise NotImplementedError() def visit_member_expr(self, o: mypy.nodes.MemberExpr, /) -> T: raise NotImplementedError() def visit_yield_from_expr(self, o: mypy.nodes.YieldFromExpr, /) -> T: raise NotImplementedError() def visit_yield_expr(self, o: mypy.nodes.YieldExpr, /) -> T: raise NotImplementedError() def visit_call_expr(self, o: mypy.nodes.CallExpr, /) -> T: raise NotImplementedError() def visit_op_expr(self, o: mypy.nodes.OpExpr, /) -> T: raise NotImplementedError() def visit_comparison_expr(self, o: mypy.nodes.ComparisonExpr, /) -> T: raise NotImplementedError() def visit_cast_expr(self, o: mypy.nodes.CastExpr, /) -> T: raise NotImplementedError() def visit_type_form_expr(self, o: mypy.nodes.TypeFormExpr, /) -> T: raise NotImplementedError() def visit_assert_type_expr(self, o: mypy.nodes.AssertTypeExpr, /) -> T: raise NotImplementedError() def visit_reveal_expr(self, o: mypy.nodes.RevealExpr, /) -> T: raise NotImplementedError() def visit_super_expr(self, o: mypy.nodes.SuperExpr, /) -> T: raise NotImplementedError() def visit_assignment_expr(self, o: mypy.nodes.AssignmentExpr, /) -> T: raise NotImplementedError() def visit_unary_expr(self, o: mypy.nodes.UnaryExpr, /) -> T: raise NotImplementedError() def visit_list_expr(self, o: mypy.nodes.ListExpr, /) -> T: raise NotImplementedError() def visit_dict_expr(self, o: mypy.nodes.DictExpr, /) -> T: raise NotImplementedError() def visit_tuple_expr(self, o: mypy.nodes.TupleExpr, /) -> T: raise NotImplementedError() def visit_set_expr(self, o: mypy.nodes.SetExpr, /) -> T: raise NotImplementedError() def visit_index_expr(self, o: mypy.nodes.IndexExpr, /) -> T: raise NotImplementedError() def visit_type_application(self, o: mypy.nodes.TypeApplication, /) -> T: raise NotImplementedError() def visit_lambda_expr(self, o: mypy.nodes.LambdaExpr, /) -> T: raise NotImplementedError() def visit_list_comprehension(self, o: mypy.nodes.ListComprehension, /) -> T: raise NotImplementedError() def visit_set_comprehension(self, o: mypy.nodes.SetComprehension, /) -> T: raise NotImplementedError() def visit_dictionary_comprehension(self, o: mypy.nodes.DictionaryComprehension, /) -> T: raise NotImplementedError() def visit_generator_expr(self, o: mypy.nodes.GeneratorExpr, /) -> T: raise NotImplementedError() def visit_slice_expr(self, o: mypy.nodes.SliceExpr, /) -> T: raise NotImplementedError() def visit_conditional_expr(self, o: mypy.nodes.ConditionalExpr, /) -> T: raise NotImplementedError() def visit_type_var_expr(self, o: mypy.nodes.TypeVarExpr, /) -> T: raise NotImplementedError() def visit_paramspec_expr(self, o: mypy.nodes.ParamSpecExpr, /) -> T: raise NotImplementedError() def visit_type_var_tuple_expr(self, o: mypy.nodes.TypeVarTupleExpr, /) -> T: raise NotImplementedError() def visit_type_alias_expr(self, o: mypy.nodes.TypeAliasExpr, /) -> T: raise NotImplementedError() def visit_namedtuple_expr(self, o: mypy.nodes.NamedTupleExpr, /) -> T: raise NotImplementedError() def visit_enum_call_expr(self, o: mypy.nodes.EnumCallExpr, /) -> T: raise NotImplementedError() def visit_typeddict_expr(self, o: mypy.nodes.TypedDictExpr, /) -> T: raise NotImplementedError() def visit_newtype_expr(self, o: mypy.nodes.NewTypeExpr, /) -> T: raise NotImplementedError() def visit__promote_expr(self, o: mypy.nodes.PromoteExpr, /) -> T: raise NotImplementedError() def visit_await_expr(self, o: mypy.nodes.AwaitExpr, /) -> T: raise NotImplementedError() def visit_temp_node(self, o: mypy.nodes.TempNode, /) -> T: raise NotImplementedError() # Patterns def visit_as_pattern(self, o: mypy.patterns.AsPattern, /) -> T: raise NotImplementedError() def visit_or_pattern(self, o: mypy.patterns.OrPattern, /) -> T: raise NotImplementedError() def visit_value_pattern(self, o: mypy.patterns.ValuePattern, /) -> T: raise NotImplementedError() def visit_singleton_pattern(self, o: mypy.patterns.SingletonPattern, /) -> T: raise NotImplementedError() def visit_sequence_pattern(self, o: mypy.patterns.SequencePattern, /) -> T: raise NotImplementedError() def visit_starred_pattern(self, o: mypy.patterns.StarredPattern, /) -> T: raise NotImplementedError() def visit_mapping_pattern(self, o: mypy.patterns.MappingPattern, /) -> T: raise NotImplementedError() def visit_class_pattern(self, o: mypy.patterns.ClassPattern, /) -> T: raise NotImplementedError() ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6227658 mypy-1.19.0/mypy/xml/0000755000175100017510000000000015112310012014026 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/xml/mypy-html.css0000644000175100017510000000260115112307767016526 0ustar00runnerrunner/* CSS for type check coverage reports */ /* Used by both summary and file. */ body { font-family: "Helvetica Neue", sans-serif; } /* Used only by summary. */ h1 { text-align: center; font-size: 135%; margin: 20px; } table.summary { border-collapse: collapse; margin-left: 7%; margin-right: 7%; width: 85%; } table caption { margin: 1em; } table.summary, tr.summary, th.summary, td.summary { border: 1px solid #aaa; } th.summary, td.summary { padding: 0.4em; } td.summary a { text-decoration: none; } .summary-quality-0 { background-color: #dfd; } .summary-quality-1 { background-color: #ffa; } .summary-quality-2 { background-color: #faa; } td.summary-filename, th.summary-filename { text-align: left; } td.summary-filename { width: 50%; } .summary-precision { text-align: center; } .summary-lines { text-align: center; } /* Used only by file. */ td.table-lines { text-align: right; padding-right: 0.5em; } td.table-code { } span.lineno { text-align: right; } a:link.lineno, a:visited.lineno { color: #999; text-decoration: none; } a:hover.lineno, a:active.lineno { color: #000; text-decoration: underline; } .line-empty, .line-precise { background-color: #dfd; } .line-imprecise { background-color: #ffa; } .line-any, .line-unanalyzed { background-color: #faa; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/xml/mypy-html.xslt0000644000175100017510000000736015112307767016737 0ustar00runnerrunner

Mypy Type Check Coverage Summary

Summary from
File Imprecision Lines
Total imprecise LOC
imprecise LOC
././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/xml/mypy-txt.xslt0000644000175100017510000001111615112307767016604 0ustar00runnerrunner Mypy Type Check Coverage Summary ================================ Script: +- -+- -+- -+ | | | | +- -+- -+- -+ | | | | +- -+- -+- -+ | | | | +- -+- -+- -+ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy/xml/mypy.xsd0000644000175100017510000000417515112307767015602 0ustar00runnerrunner ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy-requirements.txt0000644000175100017510000000033515112307767016540 0ustar00runnerrunner# NOTE: this needs to be kept in sync with the "requires" list in pyproject.toml # and the pins in setup.py typing_extensions>=4.6.0 mypy_extensions>=1.0.0 pathspec>=0.9.0 tomli>=1.1.0; python_version<'3.11' librt>=0.6.2 ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.754767 mypy-1.19.0/mypy.egg-info/0000755000175100017510000000000015112310012014720 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331529.0 mypy-1.19.0/mypy.egg-info/PKG-INFO0000644000175100017510000000422015112310011016012 0ustar00runnerrunnerMetadata-Version: 2.4 Name: mypy Version: 1.19.0 Summary: Optional static typing for Python Author-email: Jukka Lehtosalo License: MIT Project-URL: Homepage, https://www.mypy-lang.org/ Project-URL: Documentation, https://mypy.readthedocs.io/en/stable/index.html Project-URL: Repository, https://github.com/python/mypy Project-URL: Changelog, https://github.com/python/mypy/blob/master/CHANGELOG.md Project-URL: Issues, https://github.com/python/mypy/issues Classifier: Development Status :: 5 - Production/Stable Classifier: Environment :: Console Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3.14 Classifier: Topic :: Software Development Classifier: Typing :: Typed Requires-Python: >=3.9 Description-Content-Type: text/x-rst License-File: LICENSE Requires-Dist: typing_extensions>=4.6.0 Requires-Dist: mypy_extensions>=1.0.0 Requires-Dist: pathspec>=0.9.0 Requires-Dist: tomli>=1.1.0; python_version < "3.11" Requires-Dist: librt>=0.6.2 Provides-Extra: dmypy Requires-Dist: psutil>=4.0; extra == "dmypy" Provides-Extra: mypyc Requires-Dist: setuptools>=50; extra == "mypyc" Provides-Extra: python2 Provides-Extra: reports Requires-Dist: lxml; extra == "reports" Provides-Extra: install-types Requires-Dist: pip; extra == "install-types" Provides-Extra: faster-cache Requires-Dist: orjson; extra == "faster-cache" Dynamic: license-file Mypy -- Optional Static Typing for Python ========================================= Add type annotations to your Python programs, and use mypy to type check them. Mypy is essentially a Python linter on steroids, and it can catch many programming errors by analyzing your program, without actually having to run it. Mypy has a powerful type system with features such as type inference, gradual typing, generics and union types. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331529.0 mypy-1.19.0/mypy.egg-info/SOURCES.txt0000644000175100017510000017560715112310011016623 0ustar00runnerrunnerCHANGELOG.md LICENSE MANIFEST.in README.md build-requirements.txt conftest.py mypy-requirements.txt mypy_bootstrap.ini mypy_self_check.ini pyproject.toml runtests.py setup.py test-requirements.in test-requirements.txt tox.ini docs/Makefile docs/README.md docs/make.bat docs/requirements-docs.txt docs/source/additional_features.rst docs/source/builtin_types.rst docs/source/changelog.md docs/source/cheat_sheet_py3.rst docs/source/class_basics.rst docs/source/command_line.rst docs/source/common_issues.rst docs/source/conf.py docs/source/config_file.rst docs/source/duck_type_compatibility.rst docs/source/dynamic_typing.rst docs/source/error_code_list.rst 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test-data/unit/plugins/config_data.py test-data/unit/plugins/custom_errorcode.py test-data/unit/plugins/customentry.py test-data/unit/plugins/customize_mro.py test-data/unit/plugins/decimal_to_int.py test-data/unit/plugins/depshook.py test-data/unit/plugins/descriptor.py test-data/unit/plugins/dyn_class.py test-data/unit/plugins/dyn_class_from_method.py test-data/unit/plugins/fnplugin.py test-data/unit/plugins/fully_qualified_test_hook.py test-data/unit/plugins/function_sig_hook.py test-data/unit/plugins/magic_method.py test-data/unit/plugins/method_in_decorator.py test-data/unit/plugins/method_sig_hook.py test-data/unit/plugins/named_callable.py test-data/unit/plugins/noentry.py test-data/unit/plugins/plugin2.py test-data/unit/plugins/type_anal_hook.py test-data/unit/plugins/union_method.py././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331529.0 mypy-1.19.0/mypy.egg-info/dependency_links.txt0000644000175100017510000000000115112310011020765 0ustar00runnerrunner ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331529.0 mypy-1.19.0/mypy.egg-info/entry_points.txt0000644000175100017510000000026315112310011020216 0ustar00runnerrunner[console_scripts] dmypy = mypy.dmypy.client:console_entry mypy = mypy.__main__:console_entry mypyc = mypyc.__main__:main stubgen = mypy.stubgen:main stubtest = mypy.stubtest:main ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331529.0 mypy-1.19.0/mypy.egg-info/requires.txt0000644000175100017510000000035215112310011017317 0ustar00runnerrunnertyping_extensions>=4.6.0 mypy_extensions>=1.0.0 pathspec>=0.9.0 librt>=0.6.2 [:python_version < "3.11"] tomli>=1.1.0 [dmypy] psutil>=4.0 [faster-cache] orjson [install-types] pip [mypyc] setuptools>=50 [python2] [reports] lxml ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331529.0 mypy-1.19.0/mypy.egg-info/top_level.txt0000644000175100017510000000001315112310011017443 0ustar00runnerrunnermypy mypyc ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy_bootstrap.ini0000644000175100017510000000030015112307767016044 0ustar00runnerrunner[mypy] strict = True warn_unused_ignores = False show_traceback = True always_true = MYPYC [mypy-mypy.visitor] # See docstring for NodeVisitor for motivation. disable_error_code = empty-body ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypy_self_check.ini0000644000175100017510000000064115112307767016125 0ustar00runnerrunner[mypy] strict = True local_partial_types = True disallow_any_unimported = True show_traceback = True pretty = True always_false = MYPYC plugins = mypy.plugins.proper_plugin python_version = 3.9 exclude = mypy/typeshed/|mypyc/test-data/ enable_error_code = ignore-without-code,redundant-expr enable_incomplete_feature = PreciseTupleTypes show_error_code_links = True warn_unreachable = True fixed_format_cache = True ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6247656 mypy-1.19.0/mypyc/0000755000175100017510000000000015112310012013371 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/README.md0000644000175100017510000000073515112307767014704 0ustar00runnerrunnermypyc: Mypy to Python C Extension Compiler ========================================== For the mypyc README, refer to the [mypyc repository](https://github.com/mypyc/mypyc). The mypyc repository also contains the mypyc issue tracker. All mypyc code lives here in the mypy repository. Source code for the mypyc user documentation lives under [mypyc/doc](./doc). Mypyc welcomes new contributors! Refer to our [developer documentation](./doc/dev-intro.md) for more information. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/__init__.py0000644000175100017510000000000015112307767015517 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/__main__.py0000644000175100017510000000361015112307767015512 0ustar00runnerrunner"""Mypyc command-line tool. Usage: $ mypyc foo.py [...] $ python3 -c 'import foo' # Uses compiled 'foo' This is just a thin wrapper that generates a setup.py file that uses mypycify, suitable for prototyping and testing. """ from __future__ import annotations import os import os.path import subprocess import sys base_path = os.path.join(os.path.dirname(__file__), "..") setup_format = """\ from setuptools import setup from mypyc.build import mypycify setup( name='mypyc_output', ext_modules=mypycify( {}, opt_level="{}", debug_level="{}", strict_dunder_typing={}, log_trace={}, ), ) """ def main() -> None: build_dir = "build" # can this be overridden?? try: os.mkdir(build_dir) except FileExistsError: pass opt_level = os.getenv("MYPYC_OPT_LEVEL", "3") debug_level = os.getenv("MYPYC_DEBUG_LEVEL", "1") strict_dunder_typing = bool(int(os.getenv("MYPYC_STRICT_DUNDER_TYPING", "0"))) # If enabled, compiled code writes a sampled log of executed ops (or events) to # mypyc_trace.txt. log_trace = bool(int(os.getenv("MYPYC_LOG_TRACE", "0"))) setup_file = os.path.join(build_dir, "setup.py") with open(setup_file, "w") as f: f.write( setup_format.format( sys.argv[1:], opt_level, debug_level, strict_dunder_typing, log_trace ) ) # We don't use run_setup (like we do in the test suite) because it throws # away the error code from distutils, and we don't care about the slight # performance loss here. env = os.environ.copy() base_path = os.path.join(os.path.dirname(__file__), "..") env["PYTHONPATH"] = base_path + os.pathsep + env.get("PYTHONPATH", "") cmd = subprocess.run([sys.executable, setup_file, "build_ext", "--inplace"], env=env) sys.exit(cmd.returncode) if __name__ == "__main__": main() ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6257658 mypy-1.19.0/mypyc/analysis/0000755000175100017510000000000015112310012015214 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/analysis/__init__.py0000644000175100017510000000000015112307767017342 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/analysis/attrdefined.py0000644000175100017510000003607315112307767020117 0ustar00runnerrunner"""Always defined attribute analysis. An always defined attribute has some statements in __init__ or the class body that cause the attribute to be always initialized when an instance is constructed. It must also not be possible to read the attribute before initialization, and it can't be deletable. We can assume that the value is always defined when reading an always defined attribute. Otherwise we'll need to raise AttributeError if the value is undefined (i.e. has the error value). We use data flow analysis to figure out attributes that are always defined. Example: class C: def __init__(self) -> None: self.x = 0 if func(): self.y = 1 else: self.y = 2 self.z = 3 In this example, the attributes 'x' and 'y' are always defined, but 'z' is not. The analysis assumes that we know that there won't be any subclasses. The analysis also works if there is a known, closed set of subclasses. An attribute defined in a base class can only be always defined if it's also always defined in all subclasses. As soon as __init__ contains an op that can 'leak' self to another function, we will stop inferring always defined attributes, since the analysis is mostly intra-procedural and only looks at __init__ methods. The called code could read an uninitialized attribute. Example: class C: def __init__(self) -> None: self.x = self.foo() def foo(self) -> int: ... Now we won't infer 'x' as always defined, since 'foo' might read 'x' before initialization. As an exception to the above limitation, we perform inter-procedural analysis of super().__init__ calls, since these are very common. Our analysis is somewhat optimistic. We assume that nobody calls a method of a partially uninitialized object through gc.get_objects(), in particular. Code like this could potentially cause a segfault with a null pointer dereference. This seems very unlikely to be an issue in practice, however. Accessing an attribute via getattr always checks for undefined attributes and thus works if the object is partially uninitialized. This can be used as a workaround if somebody ever needs to inspect partially uninitialized objects via gc.get_objects(). The analysis runs after IR building as a separate pass. Since we only run this on __init__ methods, this analysis pass will be fairly quick. """ from __future__ import annotations from typing import Final from mypyc.analysis.dataflow import ( CFG, MAYBE_ANALYSIS, AnalysisResult, BaseAnalysisVisitor, get_cfg, run_analysis, ) from mypyc.analysis.selfleaks import analyze_self_leaks from mypyc.ir.class_ir import ClassIR from mypyc.ir.ops import ( Assign, AssignMulti, BasicBlock, Branch, Call, ControlOp, GetAttr, Register, RegisterOp, Return, SetAttr, SetMem, Unreachable, ) from mypyc.ir.rtypes import RInstance # If True, print out all always-defined attributes of native classes (to aid # debugging and testing) dump_always_defined: Final = False def analyze_always_defined_attrs(class_irs: list[ClassIR]) -> None: """Find always defined attributes all classes of a compilation unit. Also tag attribute initialization ops to not decref the previous value (as this would read a NULL pointer and segfault). Update the _always_initialized_attrs, _sometimes_initialized_attrs and init_self_leak attributes in ClassIR instances. This is the main entry point. """ seen: set[ClassIR] = set() # First pass: only look at target class and classes in MRO for cl in class_irs: analyze_always_defined_attrs_in_class(cl, seen) # Second pass: look at all derived class seen = set() for cl in class_irs: update_always_defined_attrs_using_subclasses(cl, seen) # Final pass: detect attributes that need to use a bitmap to track definedness seen = set() for cl in class_irs: detect_undefined_bitmap(cl, seen) def analyze_always_defined_attrs_in_class(cl: ClassIR, seen: set[ClassIR]) -> None: if cl in seen: return seen.add(cl) if ( cl.is_trait or cl.inherits_python or cl.allow_interpreted_subclasses or cl.builtin_base is not None or cl.children is None or cl.is_serializable() or cl.has_method("__new__") ): # Give up -- we can't enforce that attributes are always defined. return # First analyze all base classes. Track seen classes to avoid duplicate work. for base in cl.mro[1:]: analyze_always_defined_attrs_in_class(base, seen) m = cl.get_method("__init__") if m is None: cl._always_initialized_attrs = cl.attrs_with_defaults.copy() cl._sometimes_initialized_attrs = cl.attrs_with_defaults.copy() return self_reg = m.arg_regs[0] cfg = get_cfg(m.blocks) dirty = analyze_self_leaks(m.blocks, self_reg, cfg) maybe_defined = analyze_maybe_defined_attrs_in_init( m.blocks, self_reg, cl.attrs_with_defaults, cfg ) all_attrs: set[str] = set() for base in cl.mro: all_attrs.update(base.attributes) maybe_undefined = analyze_maybe_undefined_attrs_in_init( m.blocks, self_reg, initial_undefined=all_attrs - cl.attrs_with_defaults, cfg=cfg ) always_defined = find_always_defined_attributes( m.blocks, self_reg, all_attrs, maybe_defined, maybe_undefined, dirty ) always_defined = {a for a in always_defined if not cl.is_deletable(a)} cl._always_initialized_attrs = always_defined if dump_always_defined: print(cl.name, sorted(always_defined)) cl._sometimes_initialized_attrs = find_sometimes_defined_attributes( m.blocks, self_reg, maybe_defined, dirty ) mark_attr_initialization_ops(m.blocks, self_reg, maybe_defined, dirty) # Check if __init__ can run unpredictable code (leak 'self'). any_dirty = False for b in m.blocks: for i, op in enumerate(b.ops): if dirty.after[b, i] and not isinstance(op, Return): any_dirty = True break cl.init_self_leak = any_dirty def find_always_defined_attributes( blocks: list[BasicBlock], self_reg: Register, all_attrs: set[str], maybe_defined: AnalysisResult[str], maybe_undefined: AnalysisResult[str], dirty: AnalysisResult[None], ) -> set[str]: """Find attributes that are always initialized in some basic blocks. The analysis results are expected to be up-to-date for the blocks. Return a set of always defined attributes. """ attrs = all_attrs.copy() for block in blocks: for i, op in enumerate(block.ops): # If an attribute we *read* may be undefined, it isn't always defined. if isinstance(op, GetAttr) and op.obj is self_reg: if op.attr in maybe_undefined.before[block, i]: attrs.discard(op.attr) # If an attribute we *set* may be sometimes undefined and # sometimes defined, don't consider it always defined. Unlike # the get case, it's fine for the attribute to be undefined. # The set operation will then be treated as initialization. if isinstance(op, SetAttr) and op.obj is self_reg: if ( op.attr in maybe_undefined.before[block, i] and op.attr in maybe_defined.before[block, i] ): attrs.discard(op.attr) # Treat an op that might run arbitrary code as an "exit" # in terms of the analysis -- we can't do any inference # afterwards reliably. if dirty.after[block, i]: if not dirty.before[block, i]: attrs = attrs & ( maybe_defined.after[block, i] - maybe_undefined.after[block, i] ) break if isinstance(op, ControlOp): for target in op.targets(): # Gotos/branches can also be "exits". if not dirty.after[block, i] and dirty.before[target, 0]: attrs = attrs & ( maybe_defined.after[target, 0] - maybe_undefined.after[target, 0] ) return attrs def find_sometimes_defined_attributes( blocks: list[BasicBlock], self_reg: Register, maybe_defined: AnalysisResult[str], dirty: AnalysisResult[None], ) -> set[str]: """Find attributes that are sometimes initialized in some basic blocks.""" attrs: set[str] = set() for block in blocks: for i, op in enumerate(block.ops): # Only look at possibly defined attributes at exits. if dirty.after[block, i]: if not dirty.before[block, i]: attrs = attrs | maybe_defined.after[block, i] break if isinstance(op, ControlOp): for target in op.targets(): if not dirty.after[block, i] and dirty.before[target, 0]: attrs = attrs | maybe_defined.after[target, 0] return attrs def mark_attr_initialization_ops( blocks: list[BasicBlock], self_reg: Register, maybe_defined: AnalysisResult[str], dirty: AnalysisResult[None], ) -> None: """Tag all SetAttr ops in the basic blocks that initialize attributes. Initialization ops assume that the previous attribute value is the error value, so there's no need to decref or check for definedness. """ for block in blocks: for i, op in enumerate(block.ops): if isinstance(op, SetAttr) and op.obj is self_reg: attr = op.attr if attr not in maybe_defined.before[block, i] and not dirty.after[block, i]: op.mark_as_initializer() GenAndKill = tuple[set[str], set[str]] def attributes_initialized_by_init_call(op: Call) -> set[str]: """Calculate attributes that are always initialized by a super().__init__ call.""" self_type = op.fn.sig.args[0].type assert isinstance(self_type, RInstance), self_type cl = self_type.class_ir return {a for base in cl.mro for a in base.attributes if base.is_always_defined(a)} def attributes_maybe_initialized_by_init_call(op: Call) -> set[str]: """Calculate attributes that may be initialized by a super().__init__ call.""" self_type = op.fn.sig.args[0].type assert isinstance(self_type, RInstance), self_type cl = self_type.class_ir return attributes_initialized_by_init_call(op) | cl._sometimes_initialized_attrs class AttributeMaybeDefinedVisitor(BaseAnalysisVisitor[str]): """Find attributes that may have been defined via some code path. Consider initializations in class body and assignments to 'self.x' and calls to base class '__init__'. """ def __init__(self, self_reg: Register) -> None: self.self_reg = self_reg def visit_branch(self, op: Branch) -> tuple[set[str], set[str]]: return set(), set() def visit_return(self, op: Return) -> tuple[set[str], set[str]]: return set(), set() def visit_unreachable(self, op: Unreachable) -> tuple[set[str], set[str]]: return set(), set() def visit_register_op(self, op: RegisterOp) -> tuple[set[str], set[str]]: if isinstance(op, SetAttr) and op.obj is self.self_reg: return {op.attr}, set() if isinstance(op, Call) and op.fn.class_name and op.fn.name == "__init__": return attributes_maybe_initialized_by_init_call(op), set() return set(), set() def visit_assign(self, op: Assign) -> tuple[set[str], set[str]]: return set(), set() def visit_assign_multi(self, op: AssignMulti) -> tuple[set[str], set[str]]: return set(), set() def visit_set_mem(self, op: SetMem) -> tuple[set[str], set[str]]: return set(), set() def analyze_maybe_defined_attrs_in_init( blocks: list[BasicBlock], self_reg: Register, attrs_with_defaults: set[str], cfg: CFG ) -> AnalysisResult[str]: return run_analysis( blocks=blocks, cfg=cfg, gen_and_kill=AttributeMaybeDefinedVisitor(self_reg), initial=attrs_with_defaults, backward=False, kind=MAYBE_ANALYSIS, ) class AttributeMaybeUndefinedVisitor(BaseAnalysisVisitor[str]): """Find attributes that may be undefined via some code path. Consider initializations in class body, assignments to 'self.x' and calls to base class '__init__'. """ def __init__(self, self_reg: Register) -> None: self.self_reg = self_reg def visit_branch(self, op: Branch) -> tuple[set[str], set[str]]: return set(), set() def visit_return(self, op: Return) -> tuple[set[str], set[str]]: return set(), set() def visit_unreachable(self, op: Unreachable) -> tuple[set[str], set[str]]: return set(), set() def visit_register_op(self, op: RegisterOp) -> tuple[set[str], set[str]]: if isinstance(op, SetAttr) and op.obj is self.self_reg: return set(), {op.attr} if isinstance(op, Call) and op.fn.class_name and op.fn.name == "__init__": return set(), attributes_initialized_by_init_call(op) return set(), set() def visit_assign(self, op: Assign) -> tuple[set[str], set[str]]: return set(), set() def visit_assign_multi(self, op: AssignMulti) -> tuple[set[str], set[str]]: return set(), set() def visit_set_mem(self, op: SetMem) -> tuple[set[str], set[str]]: return set(), set() def analyze_maybe_undefined_attrs_in_init( blocks: list[BasicBlock], self_reg: Register, initial_undefined: set[str], cfg: CFG ) -> AnalysisResult[str]: return run_analysis( blocks=blocks, cfg=cfg, gen_and_kill=AttributeMaybeUndefinedVisitor(self_reg), initial=initial_undefined, backward=False, kind=MAYBE_ANALYSIS, ) def update_always_defined_attrs_using_subclasses(cl: ClassIR, seen: set[ClassIR]) -> None: """Remove attributes not defined in all subclasses from always defined attrs.""" if cl in seen: return if cl.children is None: # Subclasses are unknown return removed = set() for attr in cl._always_initialized_attrs: for child in cl.children: update_always_defined_attrs_using_subclasses(child, seen) if attr not in child._always_initialized_attrs: removed.add(attr) cl._always_initialized_attrs -= removed seen.add(cl) def detect_undefined_bitmap(cl: ClassIR, seen: set[ClassIR]) -> None: if cl.is_trait: return if cl in seen: return seen.add(cl) for base in cl.base_mro[1:]: detect_undefined_bitmap(base, seen) if len(cl.base_mro) > 1: cl.bitmap_attrs.extend(cl.base_mro[1].bitmap_attrs) for n, t in cl.attributes.items(): if t.error_overlap and not cl.is_always_defined(n): cl.bitmap_attrs.append(n) for base in cl.mro[1:]: if base.is_trait: for n, t in base.attributes.items(): if t.error_overlap and not cl.is_always_defined(n) and n not in cl.bitmap_attrs: cl.bitmap_attrs.append(n) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/analysis/blockfreq.py0000644000175100017510000000175415112307767017574 0ustar00runnerrunner"""Find basic blocks that are likely to be executed frequently. For example, this would not include blocks that have exception handlers. We can use different optimization heuristics for common and rare code. For example, we can make IR fast to compile instead of fast to execute for rare code. """ from __future__ import annotations from mypyc.ir.ops import BasicBlock, Branch, Goto def frequently_executed_blocks(entry_point: BasicBlock) -> set[BasicBlock]: result: set[BasicBlock] = set() worklist = [entry_point] while worklist: block = worklist.pop() if block in result: continue result.add(block) t = block.terminator if isinstance(t, Goto): worklist.append(t.label) elif isinstance(t, Branch): if t.rare or t.traceback_entry is not None: worklist.append(t.false) else: worklist.append(t.true) worklist.append(t.false) return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/analysis/capsule_deps.py0000644000175100017510000000201715112307767020264 0ustar00runnerrunnerfrom __future__ import annotations from mypyc.ir.func_ir import FuncIR from mypyc.ir.ops import CallC, PrimitiveOp def find_implicit_capsule_dependencies(fn: FuncIR) -> set[str] | None: """Find implicit dependencies on capsules that need to be imported. Using primitives or types defined in librt submodules such as "librt.base64" requires a capsule import. Note that a module can depend on a librt module even if it doesn't explicitly import it, for example via re-exported names or via return types of functions defined in other modules. """ deps: set[str] | None = None for block in fn.blocks: for op in block.ops: # TODO: Also determine implicit type object dependencies (e.g. cast targets) if isinstance(op, CallC) and op.capsule is not None: if deps is None: deps = set() deps.add(op.capsule) else: assert not isinstance(op, PrimitiveOp), "Lowered IR is expected" return deps ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/analysis/dataflow.py0000644000175100017510000004607715112307767017434 0ustar00runnerrunner"""Data-flow analyses.""" from __future__ import annotations from abc import abstractmethod from collections.abc import Iterable, Iterator from typing import Generic, TypeVar from mypyc.ir.ops import ( Assign, AssignMulti, BasicBlock, Box, Branch, Call, CallC, Cast, ComparisonOp, ControlOp, DecRef, Extend, Float, FloatComparisonOp, FloatNeg, FloatOp, GetAttr, GetElementPtr, Goto, IncRef, InitStatic, Integer, IntOp, KeepAlive, LoadAddress, LoadErrorValue, LoadGlobal, LoadLiteral, LoadMem, LoadStatic, MethodCall, Op, OpVisitor, PrimitiveOp, RaiseStandardError, RegisterOp, Return, SetAttr, SetElement, SetMem, Truncate, TupleGet, TupleSet, Unborrow, Unbox, Undef, Unreachable, Value, ) class CFG: """Control-flow graph. Node 0 is always assumed to be the entry point. There must be a non-empty set of exits. """ def __init__( self, succ: dict[BasicBlock, list[BasicBlock]], pred: dict[BasicBlock, list[BasicBlock]], exits: set[BasicBlock], ) -> None: assert exits self.succ = succ self.pred = pred self.exits = exits def __str__(self) -> str: exits = sorted(self.exits, key=lambda e: int(e.label)) return f"exits: {exits}\nsucc: {self.succ}\npred: {self.pred}" def get_cfg(blocks: list[BasicBlock], *, use_yields: bool = False) -> CFG: """Calculate basic block control-flow graph. If use_yields is set, then we treat returns inserted by yields as gotos instead of exits. """ succ_map = {} pred_map: dict[BasicBlock, list[BasicBlock]] = {} exits = set() for block in blocks: assert not any( isinstance(op, ControlOp) for op in block.ops[:-1] ), "Control-flow ops must be at the end of blocks" if use_yields and isinstance(block.terminator, Return) and block.terminator.yield_target: succ = [block.terminator.yield_target] else: succ = list(block.terminator.targets()) if not succ: exits.add(block) # Errors can occur anywhere inside a block, which means that # we can't assume that the entire block has executed before # jumping to the error handler. In our CFG construction, we # model this as saying that a block can jump to its error # handler or the error handlers of any of its normal # successors (to represent an error before that next block # completes). This works well for analyses like "must # defined", where it implies that registers assigned in a # block may be undefined in its error handler, but is in # general not a precise representation of reality; any # analyses that require more fidelity must wait until after # exception insertion. for error_point in [block] + succ: if error_point.error_handler: succ.append(error_point.error_handler) succ_map[block] = succ pred_map[block] = [] for prev, nxt in succ_map.items(): for label in nxt: pred_map[label].append(prev) return CFG(succ_map, pred_map, exits) def get_real_target(label: BasicBlock) -> BasicBlock: if len(label.ops) == 1 and isinstance(label.ops[-1], Goto): label = label.ops[-1].label return label def cleanup_cfg(blocks: list[BasicBlock]) -> None: """Cleanup the control flow graph. This eliminates obviously dead basic blocks and eliminates blocks that contain nothing but a single jump. There is a lot more that could be done. """ changed = True while changed: # First collapse any jumps to basic block that only contain a goto for block in blocks: for i, tgt in enumerate(block.terminator.targets()): block.terminator.set_target(i, get_real_target(tgt)) # Then delete any blocks that have no predecessors changed = False cfg = get_cfg(blocks) orig_blocks = blocks.copy() blocks.clear() for i, block in enumerate(orig_blocks): if i == 0 or cfg.pred[block]: blocks.append(block) else: changed = True T = TypeVar("T") AnalysisDict = dict[tuple[BasicBlock, int], set[T]] class AnalysisResult(Generic[T]): def __init__(self, before: AnalysisDict[T], after: AnalysisDict[T]) -> None: self.before = before self.after = after def __str__(self) -> str: return f"before: {self.before}\nafter: {self.after}\n" GenAndKill = tuple[set[T], set[T]] class BaseAnalysisVisitor(OpVisitor[GenAndKill[T]]): def visit_goto(self, op: Goto) -> GenAndKill[T]: return set(), set() @abstractmethod def visit_register_op(self, op: RegisterOp) -> GenAndKill[T]: raise NotImplementedError @abstractmethod def visit_assign(self, op: Assign) -> GenAndKill[T]: raise NotImplementedError @abstractmethod def visit_assign_multi(self, op: AssignMulti) -> GenAndKill[T]: raise NotImplementedError @abstractmethod def visit_set_mem(self, op: SetMem) -> GenAndKill[T]: raise NotImplementedError def visit_call(self, op: Call) -> GenAndKill[T]: return self.visit_register_op(op) def visit_method_call(self, op: MethodCall) -> GenAndKill[T]: return self.visit_register_op(op) def visit_load_error_value(self, op: LoadErrorValue) -> GenAndKill[T]: return self.visit_register_op(op) def visit_load_literal(self, op: LoadLiteral) -> GenAndKill[T]: return self.visit_register_op(op) def visit_get_attr(self, op: GetAttr) -> GenAndKill[T]: return self.visit_register_op(op) def visit_set_attr(self, op: SetAttr) -> GenAndKill[T]: return self.visit_register_op(op) def visit_load_static(self, op: LoadStatic) -> GenAndKill[T]: return self.visit_register_op(op) def visit_init_static(self, op: InitStatic) -> GenAndKill[T]: return self.visit_register_op(op) def visit_tuple_get(self, op: TupleGet) -> GenAndKill[T]: return self.visit_register_op(op) def visit_tuple_set(self, op: TupleSet) -> GenAndKill[T]: return self.visit_register_op(op) def visit_box(self, op: Box) -> GenAndKill[T]: return self.visit_register_op(op) def visit_unbox(self, op: Unbox) -> GenAndKill[T]: return self.visit_register_op(op) def visit_cast(self, op: Cast) -> GenAndKill[T]: return self.visit_register_op(op) def visit_raise_standard_error(self, op: RaiseStandardError) -> GenAndKill[T]: return self.visit_register_op(op) def visit_call_c(self, op: CallC) -> GenAndKill[T]: return self.visit_register_op(op) def visit_primitive_op(self, op: PrimitiveOp) -> GenAndKill[T]: return self.visit_register_op(op) def visit_truncate(self, op: Truncate) -> GenAndKill[T]: return self.visit_register_op(op) def visit_extend(self, op: Extend) -> GenAndKill[T]: return self.visit_register_op(op) def visit_load_global(self, op: LoadGlobal) -> GenAndKill[T]: return self.visit_register_op(op) def visit_int_op(self, op: IntOp) -> GenAndKill[T]: return self.visit_register_op(op) def visit_float_op(self, op: FloatOp) -> GenAndKill[T]: return self.visit_register_op(op) def visit_float_neg(self, op: FloatNeg) -> GenAndKill[T]: return self.visit_register_op(op) def visit_comparison_op(self, op: ComparisonOp) -> GenAndKill[T]: return self.visit_register_op(op) def visit_float_comparison_op(self, op: FloatComparisonOp) -> GenAndKill[T]: return self.visit_register_op(op) def visit_load_mem(self, op: LoadMem) -> GenAndKill[T]: return self.visit_register_op(op) def visit_get_element_ptr(self, op: GetElementPtr) -> GenAndKill[T]: return self.visit_register_op(op) def visit_set_element(self, op: SetElement) -> GenAndKill[T]: return self.visit_register_op(op) def visit_load_address(self, op: LoadAddress) -> GenAndKill[T]: return self.visit_register_op(op) def visit_keep_alive(self, op: KeepAlive) -> GenAndKill[T]: return self.visit_register_op(op) def visit_unborrow(self, op: Unborrow) -> GenAndKill[T]: return self.visit_register_op(op) class DefinedVisitor(BaseAnalysisVisitor[Value]): """Visitor for finding defined registers. Note that this only deals with registers and not temporaries, on the assumption that we never access temporaries when they might be undefined. If strict_errors is True, then we regard any use of LoadErrorValue as making a register undefined. Otherwise we only do if `undefines` is set on the error value. This lets us only consider the things we care about during uninitialized variable checking while capturing all possibly undefined things for refcounting. """ def __init__(self, strict_errors: bool = False) -> None: self.strict_errors = strict_errors def visit_branch(self, op: Branch) -> GenAndKill[Value]: return set(), set() def visit_return(self, op: Return) -> GenAndKill[Value]: return set(), set() def visit_unreachable(self, op: Unreachable) -> GenAndKill[Value]: return set(), set() def visit_register_op(self, op: RegisterOp) -> GenAndKill[Value]: return set(), set() def visit_assign(self, op: Assign) -> GenAndKill[Value]: # Loading an error value may undefine the register. if isinstance(op.src, LoadErrorValue) and (op.src.undefines or self.strict_errors): return set(), {op.dest} else: return {op.dest}, set() def visit_assign_multi(self, op: AssignMulti) -> GenAndKill[Value]: # Array registers are special and we don't track the definedness of them. return set(), set() def visit_set_mem(self, op: SetMem) -> GenAndKill[Value]: return set(), set() def analyze_maybe_defined_regs( blocks: list[BasicBlock], cfg: CFG, initial_defined: set[Value] ) -> AnalysisResult[Value]: """Calculate potentially defined registers at each CFG location. A register is defined if it has a value along some path from the initial location. """ return run_analysis( blocks=blocks, cfg=cfg, gen_and_kill=DefinedVisitor(), initial=initial_defined, backward=False, kind=MAYBE_ANALYSIS, ) def analyze_must_defined_regs( blocks: list[BasicBlock], cfg: CFG, initial_defined: set[Value], regs: Iterable[Value], strict_errors: bool = False, ) -> AnalysisResult[Value]: """Calculate always defined registers at each CFG location. This analysis can work before exception insertion, since it is a sound assumption that registers defined in a block might not be initialized in its error handler. A register is defined if it has a value along all paths from the initial location. """ return run_analysis( blocks=blocks, cfg=cfg, gen_and_kill=DefinedVisitor(strict_errors=strict_errors), initial=initial_defined, backward=False, kind=MUST_ANALYSIS, universe=set(regs), ) class BorrowedArgumentsVisitor(BaseAnalysisVisitor[Value]): def __init__(self, args: set[Value]) -> None: self.args = args def visit_branch(self, op: Branch) -> GenAndKill[Value]: return set(), set() def visit_return(self, op: Return) -> GenAndKill[Value]: return set(), set() def visit_unreachable(self, op: Unreachable) -> GenAndKill[Value]: return set(), set() def visit_register_op(self, op: RegisterOp) -> GenAndKill[Value]: return set(), set() def visit_assign(self, op: Assign) -> GenAndKill[Value]: if op.dest in self.args: return set(), {op.dest} return set(), set() def visit_assign_multi(self, op: AssignMulti) -> GenAndKill[Value]: return set(), set() def visit_set_mem(self, op: SetMem) -> GenAndKill[Value]: return set(), set() def analyze_borrowed_arguments( blocks: list[BasicBlock], cfg: CFG, borrowed: set[Value] ) -> AnalysisResult[Value]: """Calculate arguments that can use references borrowed from the caller. When assigning to an argument, it no longer is borrowed. """ return run_analysis( blocks=blocks, cfg=cfg, gen_and_kill=BorrowedArgumentsVisitor(borrowed), initial=borrowed, backward=False, kind=MUST_ANALYSIS, universe=borrowed, ) class UndefinedVisitor(BaseAnalysisVisitor[Value]): def visit_branch(self, op: Branch) -> GenAndKill[Value]: return set(), set() def visit_return(self, op: Return) -> GenAndKill[Value]: return set(), set() def visit_unreachable(self, op: Unreachable) -> GenAndKill[Value]: return set(), set() def visit_register_op(self, op: RegisterOp) -> GenAndKill[Value]: return set(), {op} if not op.is_void else set() def visit_assign(self, op: Assign) -> GenAndKill[Value]: return set(), {op.dest} def visit_assign_multi(self, op: AssignMulti) -> GenAndKill[Value]: return set(), {op.dest} def visit_set_mem(self, op: SetMem) -> GenAndKill[Value]: return set(), set() def non_trivial_sources(op: Op) -> set[Value]: result = set() for source in op.sources(): if not isinstance(source, (Integer, Float, Undef)): result.add(source) return result class LivenessVisitor(BaseAnalysisVisitor[Value]): def visit_branch(self, op: Branch) -> GenAndKill[Value]: return non_trivial_sources(op), set() def visit_return(self, op: Return) -> GenAndKill[Value]: if not isinstance(op.value, (Integer, Float)): return {op.value}, set() else: return set(), set() def visit_unreachable(self, op: Unreachable) -> GenAndKill[Value]: return set(), set() def visit_register_op(self, op: RegisterOp) -> GenAndKill[Value]: gen = non_trivial_sources(op) if not op.is_void: return gen, {op} else: return gen, set() def visit_assign(self, op: Assign) -> GenAndKill[Value]: return non_trivial_sources(op), {op.dest} def visit_assign_multi(self, op: AssignMulti) -> GenAndKill[Value]: return non_trivial_sources(op), {op.dest} def visit_set_mem(self, op: SetMem) -> GenAndKill[Value]: return non_trivial_sources(op), set() def visit_inc_ref(self, op: IncRef) -> GenAndKill[Value]: return set(), set() def visit_dec_ref(self, op: DecRef) -> GenAndKill[Value]: return set(), set() def analyze_live_regs(blocks: list[BasicBlock], cfg: CFG) -> AnalysisResult[Value]: """Calculate live registers at each CFG location. A register is live at a location if it can be read along some CFG path starting from the location. """ return run_analysis( blocks=blocks, cfg=cfg, gen_and_kill=LivenessVisitor(), initial=set(), backward=True, kind=MAYBE_ANALYSIS, ) # Analysis kinds MUST_ANALYSIS = 0 MAYBE_ANALYSIS = 1 def run_analysis( blocks: list[BasicBlock], cfg: CFG, gen_and_kill: OpVisitor[GenAndKill[T]], initial: set[T], kind: int, backward: bool, universe: set[T] | None = None, ) -> AnalysisResult[T]: """Run a general set-based data flow analysis. Args: blocks: All basic blocks cfg: Control-flow graph for the code gen_and_kill: Implementation of gen and kill functions for each op initial: Value of analysis for the entry points (for a forward analysis) or the exit points (for a backward analysis) kind: MUST_ANALYSIS or MAYBE_ANALYSIS backward: If False, the analysis is a forward analysis; it's backward otherwise universe: For a must analysis, the set of all possible values. This is the starting value for the work list algorithm, which will narrow this down until reaching a fixed point. For a maybe analysis the iteration always starts from an empty set and this argument is ignored. Return analysis results: (before, after) """ block_gen = {} block_kill = {} # Calculate kill and gen sets for entire basic blocks. for block in blocks: gen: set[T] = set() kill: set[T] = set() ops = block.ops if backward: ops = list(reversed(ops)) for op in ops: opgen, opkill = op.accept(gen_and_kill) gen = (gen - opkill) | opgen kill = (kill - opgen) | opkill block_gen[block] = gen block_kill[block] = kill # Set up initial state for worklist algorithm. worklist = list(blocks) if not backward: worklist.reverse() # Reverse for a small performance improvement workset = set(worklist) before: dict[BasicBlock, set[T]] = {} after: dict[BasicBlock, set[T]] = {} for block in blocks: if kind == MAYBE_ANALYSIS: before[block] = set() after[block] = set() else: assert universe is not None, "Universe must be defined for a must analysis" before[block] = set(universe) after[block] = set(universe) if backward: pred_map = cfg.succ succ_map = cfg.pred else: pred_map = cfg.pred succ_map = cfg.succ # Run work list algorithm to generate in and out sets for each basic block. while worklist: label = worklist.pop() workset.remove(label) if pred_map[label]: new_before: set[T] | None = None for pred in pred_map[label]: if new_before is None: new_before = set(after[pred]) elif kind == MAYBE_ANALYSIS: new_before |= after[pred] else: new_before &= after[pred] assert new_before is not None else: new_before = set(initial) before[label] = new_before new_after = (new_before - block_kill[label]) | block_gen[label] if new_after != after[label]: for succ in succ_map[label]: if succ not in workset: worklist.append(succ) workset.add(succ) after[label] = new_after # Run algorithm for each basic block to generate opcode-level sets. op_before: dict[tuple[BasicBlock, int], set[T]] = {} op_after: dict[tuple[BasicBlock, int], set[T]] = {} for block in blocks: label = block cur = before[label] ops_enum: Iterator[tuple[int, Op]] = enumerate(block.ops) if backward: ops_enum = reversed(list(ops_enum)) for idx, op in ops_enum: op_before[label, idx] = cur opgen, opkill = op.accept(gen_and_kill) cur = (cur - opkill) | opgen op_after[label, idx] = cur if backward: op_after, op_before = op_before, op_after return AnalysisResult(op_before, op_after) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/analysis/ircheck.py0000644000175100017510000003262115112307767017231 0ustar00runnerrunner"""Utilities for checking that internal ir is valid and consistent.""" from __future__ import annotations from mypyc.ir.func_ir import FUNC_STATICMETHOD, FuncIR from mypyc.ir.ops import ( Assign, AssignMulti, BaseAssign, BasicBlock, Box, Branch, Call, CallC, Cast, ComparisonOp, ControlOp, DecRef, Extend, Float, FloatComparisonOp, FloatNeg, FloatOp, GetAttr, GetElementPtr, Goto, IncRef, InitStatic, Integer, IntOp, KeepAlive, LoadAddress, LoadErrorValue, LoadGlobal, LoadLiteral, LoadMem, LoadStatic, MethodCall, Op, OpVisitor, PrimitiveOp, RaiseStandardError, Register, Return, SetAttr, SetElement, SetMem, Truncate, TupleGet, TupleSet, Unborrow, Unbox, Undef, Unreachable, Value, ) from mypyc.ir.pprint import format_func from mypyc.ir.rtypes import ( KNOWN_NATIVE_TYPES, RArray, RInstance, RPrimitive, RType, RUnion, bytes_rprimitive, dict_rprimitive, int_rprimitive, is_float_rprimitive, is_object_rprimitive, list_rprimitive, range_rprimitive, set_rprimitive, str_rprimitive, tuple_rprimitive, ) class FnError: def __init__(self, source: Op | BasicBlock, desc: str) -> None: self.source = source self.desc = desc def __eq__(self, other: object) -> bool: return ( isinstance(other, FnError) and self.source == other.source and self.desc == other.desc ) def __repr__(self) -> str: return f"FnError(source={self.source}, desc={self.desc})" def check_func_ir(fn: FuncIR) -> list[FnError]: """Applies validations to a given function ir and returns a list of errors found.""" errors = [] op_set = set() for block in fn.blocks: if not block.terminated: errors.append( FnError(source=block.ops[-1] if block.ops else block, desc="Block not terminated") ) for op in block.ops[:-1]: if isinstance(op, ControlOp): errors.append(FnError(source=op, desc="Block has operations after control op")) if op in op_set: errors.append(FnError(source=op, desc="Func has a duplicate op")) op_set.add(op) errors.extend(check_op_sources_valid(fn)) if errors: return errors op_checker = OpChecker(fn) for block in fn.blocks: for op in block.ops: op.accept(op_checker) return op_checker.errors class IrCheckException(Exception): pass def assert_func_ir_valid(fn: FuncIR) -> None: errors = check_func_ir(fn) if errors: raise IrCheckException( "Internal error: Generated invalid IR: \n" + "\n".join(format_func(fn, [(e.source, e.desc) for e in errors])) ) def check_op_sources_valid(fn: FuncIR) -> list[FnError]: errors = [] valid_ops: set[Op] = set() valid_registers: set[Register] = set() for block in fn.blocks: valid_ops.update(block.ops) for op in block.ops: if isinstance(op, BaseAssign): valid_registers.add(op.dest) elif isinstance(op, LoadAddress) and isinstance(op.src, Register): valid_registers.add(op.src) valid_registers.update(fn.arg_regs) for block in fn.blocks: for op in block.ops: for source in op.sources(): if isinstance(source, (Integer, Float, Undef)): pass elif isinstance(source, Op): if source not in valid_ops: errors.append( FnError( source=op, desc=f"Invalid op reference to op of type {type(source).__name__}", ) ) elif isinstance(source, Register): if source not in valid_registers: errors.append( FnError( source=op, desc=f"Invalid op reference to register {source.name!r}" ) ) return errors disjoint_types = { int_rprimitive.name, bytes_rprimitive.name, str_rprimitive.name, dict_rprimitive.name, list_rprimitive.name, set_rprimitive.name, tuple_rprimitive.name, range_rprimitive.name, } | set(KNOWN_NATIVE_TYPES) def can_coerce_to(src: RType, dest: RType) -> bool: """Check if src can be assigned to dest_rtype. Currently okay to have false positives. """ if isinstance(dest, RUnion): return any(can_coerce_to(src, d) for d in dest.items) if isinstance(dest, RPrimitive): if isinstance(src, RPrimitive): # If either src or dest is a disjoint type, then they must both be. if src.name in disjoint_types and dest.name in disjoint_types: return src.name == dest.name return src.size == dest.size if isinstance(src, RInstance): return is_object_rprimitive(dest) if isinstance(src, RUnion): # IR doesn't have the ability to narrow unions based on # control flow, so cannot be a strict all() here. return any(can_coerce_to(s, dest) for s in src.items) return False return True class OpChecker(OpVisitor[None]): def __init__(self, parent_fn: FuncIR) -> None: self.parent_fn = parent_fn self.errors: list[FnError] = [] def fail(self, source: Op, desc: str) -> None: self.errors.append(FnError(source=source, desc=desc)) def check_control_op_targets(self, op: ControlOp) -> None: for target in op.targets(): if target not in self.parent_fn.blocks: self.fail(source=op, desc=f"Invalid control operation target: {target.label}") def check_type_coercion(self, op: Op, src: RType, dest: RType) -> None: if not can_coerce_to(src, dest): self.fail( source=op, desc=f"Cannot coerce source type {src.name} to dest type {dest.name}" ) def check_compatibility(self, op: Op, t: RType, s: RType) -> None: if not can_coerce_to(t, s) or not can_coerce_to(s, t): self.fail(source=op, desc=f"{t.name} and {s.name} are not compatible") def expect_float(self, op: Op, v: Value) -> None: if not is_float_rprimitive(v.type): self.fail(op, f"Float expected (actual type is {v.type})") def expect_non_float(self, op: Op, v: Value) -> None: if is_float_rprimitive(v.type): self.fail(op, "Float not expected") def visit_goto(self, op: Goto) -> None: self.check_control_op_targets(op) def visit_branch(self, op: Branch) -> None: self.check_control_op_targets(op) def visit_return(self, op: Return) -> None: self.check_type_coercion(op, op.value.type, self.parent_fn.decl.sig.ret_type) def visit_unreachable(self, op: Unreachable) -> None: # Unreachables are checked at a higher level since validation # requires access to the entire basic block. pass def visit_assign(self, op: Assign) -> None: self.check_type_coercion(op, op.src.type, op.dest.type) def visit_assign_multi(self, op: AssignMulti) -> None: for src in op.src: assert isinstance(op.dest.type, RArray) self.check_type_coercion(op, src.type, op.dest.type.item_type) def visit_load_error_value(self, op: LoadErrorValue) -> None: # Currently it is assumed that all types have an error value. # Once this is fixed we can validate that the rtype here actually # has an error value. pass def check_tuple_items_valid_literals(self, op: LoadLiteral, t: tuple[object, ...]) -> None: for x in t: if x is not None and not isinstance(x, (str, bytes, bool, int, float, complex, tuple)): self.fail(op, f"Invalid type for item of tuple literal: {type(x)})") if isinstance(x, tuple): self.check_tuple_items_valid_literals(op, x) def check_frozenset_items_valid_literals(self, op: LoadLiteral, s: frozenset[object]) -> None: for x in s: if x is None or isinstance(x, (str, bytes, bool, int, float, complex)): pass elif isinstance(x, tuple): self.check_tuple_items_valid_literals(op, x) else: self.fail(op, f"Invalid type for item of frozenset literal: {type(x)})") def visit_load_literal(self, op: LoadLiteral) -> None: expected_type = None if op.value is None: expected_type = "builtins.object" elif isinstance(op.value, int): expected_type = "builtins.int" elif isinstance(op.value, str): expected_type = "builtins.str" elif isinstance(op.value, bytes): expected_type = "builtins.bytes" elif isinstance(op.value, bool): expected_type = "builtins.object" elif isinstance(op.value, float): expected_type = "builtins.float" elif isinstance(op.value, complex): expected_type = "builtins.object" elif isinstance(op.value, tuple): expected_type = "builtins.tuple" self.check_tuple_items_valid_literals(op, op.value) elif isinstance(op.value, frozenset): # There's no frozenset_rprimitive type since it'd be pretty useless so we just pretend # it's a set (when it's really a frozenset). expected_type = "builtins.set" self.check_frozenset_items_valid_literals(op, op.value) assert expected_type is not None, "Missed a case for LoadLiteral check" if op.type.name not in [expected_type, "builtins.object"]: self.fail( op, f"Invalid literal value for type: value has " f"type {expected_type}, but op has type {op.type.name}", ) def visit_get_attr(self, op: GetAttr) -> None: # Nothing to do. pass def visit_set_attr(self, op: SetAttr) -> None: # Nothing to do. pass # Static operations cannot be checked at the function level. def visit_load_static(self, op: LoadStatic) -> None: pass def visit_init_static(self, op: InitStatic) -> None: pass def visit_tuple_get(self, op: TupleGet) -> None: # Nothing to do. pass def visit_tuple_set(self, op: TupleSet) -> None: # Nothing to do. pass def visit_inc_ref(self, op: IncRef) -> None: # Nothing to do. pass def visit_dec_ref(self, op: DecRef) -> None: # Nothing to do. pass def visit_call(self, op: Call) -> None: # Length is checked in constructor, and return type is set # in a way that can't be incorrect for arg_value, arg_runtime in zip(op.args, op.fn.sig.args): self.check_type_coercion(op, arg_value.type, arg_runtime.type) def visit_method_call(self, op: MethodCall) -> None: # Similar to above, but we must look up method first. method_decl = op.receiver_type.class_ir.method_decl(op.method) if method_decl.kind == FUNC_STATICMETHOD: decl_index = 0 else: decl_index = 1 if len(op.args) + decl_index != len(method_decl.sig.args): self.fail(op, "Incorrect number of args for method call.") # Skip the receiver argument (self) for arg_value, arg_runtime in zip(op.args, method_decl.sig.args[decl_index:]): self.check_type_coercion(op, arg_value.type, arg_runtime.type) def visit_cast(self, op: Cast) -> None: pass def visit_box(self, op: Box) -> None: pass def visit_unbox(self, op: Unbox) -> None: pass def visit_raise_standard_error(self, op: RaiseStandardError) -> None: pass def visit_call_c(self, op: CallC) -> None: pass def visit_primitive_op(self, op: PrimitiveOp) -> None: pass def visit_truncate(self, op: Truncate) -> None: pass def visit_extend(self, op: Extend) -> None: pass def visit_load_global(self, op: LoadGlobal) -> None: pass def visit_int_op(self, op: IntOp) -> None: self.expect_non_float(op, op.lhs) self.expect_non_float(op, op.rhs) def visit_comparison_op(self, op: ComparisonOp) -> None: self.check_compatibility(op, op.lhs.type, op.rhs.type) self.expect_non_float(op, op.lhs) self.expect_non_float(op, op.rhs) def visit_float_op(self, op: FloatOp) -> None: self.expect_float(op, op.lhs) self.expect_float(op, op.rhs) def visit_float_neg(self, op: FloatNeg) -> None: self.expect_float(op, op.src) def visit_float_comparison_op(self, op: FloatComparisonOp) -> None: self.expect_float(op, op.lhs) self.expect_float(op, op.rhs) def visit_load_mem(self, op: LoadMem) -> None: pass def visit_set_mem(self, op: SetMem) -> None: pass def visit_get_element_ptr(self, op: GetElementPtr) -> None: pass def visit_set_element(self, op: SetElement) -> None: pass def visit_load_address(self, op: LoadAddress) -> None: pass def visit_keep_alive(self, op: KeepAlive) -> None: pass def visit_unborrow(self, op: Unborrow) -> None: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/analysis/selfleaks.py0000644000175100017510000001331415112307767017570 0ustar00runnerrunnerfrom __future__ import annotations from mypyc.analysis.dataflow import CFG, MAYBE_ANALYSIS, AnalysisResult, run_analysis from mypyc.ir.ops import ( Assign, AssignMulti, BasicBlock, Box, Branch, Call, CallC, Cast, ComparisonOp, Extend, FloatComparisonOp, FloatNeg, FloatOp, GetAttr, GetElementPtr, Goto, InitStatic, IntOp, KeepAlive, LoadAddress, LoadErrorValue, LoadGlobal, LoadLiteral, LoadMem, LoadStatic, MethodCall, OpVisitor, PrimitiveOp, RaiseStandardError, Register, RegisterOp, Return, SetAttr, SetElement, SetMem, Truncate, TupleGet, TupleSet, Unborrow, Unbox, Unreachable, ) from mypyc.ir.rtypes import RInstance GenAndKill = tuple[set[None], set[None]] CLEAN: GenAndKill = (set(), set()) DIRTY: GenAndKill = ({None}, {None}) class SelfLeakedVisitor(OpVisitor[GenAndKill]): """Analyze whether 'self' may be seen by arbitrary code in '__init__'. More formally, the set is not empty if along some path from IR entry point arbitrary code could have been executed that has access to 'self'. (We don't consider access via 'gc.get_objects()'.) """ def __init__(self, self_reg: Register) -> None: self.self_reg = self_reg def visit_goto(self, op: Goto) -> GenAndKill: return CLEAN def visit_branch(self, op: Branch) -> GenAndKill: return CLEAN def visit_return(self, op: Return) -> GenAndKill: # Consider all exits from the function 'dirty' since they implicitly # cause 'self' to be returned. return DIRTY def visit_unreachable(self, op: Unreachable) -> GenAndKill: return CLEAN def visit_assign(self, op: Assign) -> GenAndKill: if op.src is self.self_reg or op.dest is self.self_reg: return DIRTY return CLEAN def visit_assign_multi(self, op: AssignMulti) -> GenAndKill: return CLEAN def visit_set_mem(self, op: SetMem) -> GenAndKill: return CLEAN def visit_call(self, op: Call) -> GenAndKill: fn = op.fn if fn.class_name and fn.name == "__init__": self_type = op.fn.sig.args[0].type assert isinstance(self_type, RInstance), self_type cl = self_type.class_ir if not cl.init_self_leak: return CLEAN return self.check_register_op(op) def visit_method_call(self, op: MethodCall) -> GenAndKill: return self.check_register_op(op) def visit_load_error_value(self, op: LoadErrorValue) -> GenAndKill: return CLEAN def visit_load_literal(self, op: LoadLiteral) -> GenAndKill: return CLEAN def visit_get_attr(self, op: GetAttr) -> GenAndKill: cl = op.class_type.class_ir if cl.get_method(op.attr): # Property -- calls a function return self.check_register_op(op) return CLEAN def visit_set_attr(self, op: SetAttr) -> GenAndKill: cl = op.class_type.class_ir if cl.get_method(op.attr): # Property - calls a function return self.check_register_op(op) return CLEAN def visit_load_static(self, op: LoadStatic) -> GenAndKill: return CLEAN def visit_init_static(self, op: InitStatic) -> GenAndKill: return self.check_register_op(op) def visit_tuple_get(self, op: TupleGet) -> GenAndKill: return CLEAN def visit_tuple_set(self, op: TupleSet) -> GenAndKill: return self.check_register_op(op) def visit_box(self, op: Box) -> GenAndKill: return self.check_register_op(op) def visit_unbox(self, op: Unbox) -> GenAndKill: return self.check_register_op(op) def visit_cast(self, op: Cast) -> GenAndKill: return self.check_register_op(op) def visit_raise_standard_error(self, op: RaiseStandardError) -> GenAndKill: return CLEAN def visit_call_c(self, op: CallC) -> GenAndKill: return self.check_register_op(op) def visit_primitive_op(self, op: PrimitiveOp) -> GenAndKill: return self.check_register_op(op) def visit_truncate(self, op: Truncate) -> GenAndKill: return CLEAN def visit_extend(self, op: Extend) -> GenAndKill: return CLEAN def visit_load_global(self, op: LoadGlobal) -> GenAndKill: return CLEAN def visit_int_op(self, op: IntOp) -> GenAndKill: return CLEAN def visit_comparison_op(self, op: ComparisonOp) -> GenAndKill: return CLEAN def visit_float_op(self, op: FloatOp) -> GenAndKill: return CLEAN def visit_float_neg(self, op: FloatNeg) -> GenAndKill: return CLEAN def visit_float_comparison_op(self, op: FloatComparisonOp) -> GenAndKill: return CLEAN def visit_load_mem(self, op: LoadMem) -> GenAndKill: return CLEAN def visit_get_element_ptr(self, op: GetElementPtr) -> GenAndKill: return CLEAN def visit_set_element(self, op: SetElement) -> GenAndKill: return CLEAN def visit_load_address(self, op: LoadAddress) -> GenAndKill: return CLEAN def visit_keep_alive(self, op: KeepAlive) -> GenAndKill: return CLEAN def visit_unborrow(self, op: Unborrow) -> GenAndKill: return CLEAN def check_register_op(self, op: RegisterOp) -> GenAndKill: if any(src is self.self_reg for src in op.sources()): return DIRTY return CLEAN def analyze_self_leaks( blocks: list[BasicBlock], self_reg: Register, cfg: CFG ) -> AnalysisResult[None]: return run_analysis( blocks=blocks, cfg=cfg, gen_and_kill=SelfLeakedVisitor(self_reg), initial=set(), backward=False, kind=MAYBE_ANALYSIS, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/annotate.py0000644000175100017510000004311115112307767015603 0ustar00runnerrunner"""Generate source code formatted as HTML, with bottlenecks annotated and highlighted. Various heuristics are used to detect common issues that cause slower than expected performance. """ from __future__ import annotations import os.path import sys from html import escape from typing import Final from mypy.build import BuildResult from mypy.nodes import ( AssignmentStmt, CallExpr, ClassDef, Decorator, DictionaryComprehension, Expression, ForStmt, FuncDef, GeneratorExpr, IndexExpr, LambdaExpr, MemberExpr, MypyFile, NamedTupleExpr, NameExpr, NewTypeExpr, Node, OpExpr, RefExpr, TupleExpr, TypedDictExpr, TypeInfo, TypeVarExpr, Var, WithStmt, ) from mypy.traverser import TraverserVisitor from mypy.types import AnyType, Instance, ProperType, Type, TypeOfAny, get_proper_type from mypy.util import FancyFormatter from mypyc.ir.func_ir import FuncIR from mypyc.ir.module_ir import ModuleIR from mypyc.ir.ops import CallC, LoadLiteral, LoadStatic, Value from mypyc.irbuild.mapper import Mapper class Annotation: """HTML annotation for compiled source code""" def __init__(self, message: str, priority: int = 1) -> None: # Message as HTML that describes an issue and/or how to fix it. # Multiple messages on a line may be concatenated. self.message = message # If multiple annotations are generated for a single line, only report # the highest-priority ones. Some use cases generate multiple annotations, # and this can be used to reduce verbosity by hiding the lower-priority # ones. self.priority = priority op_hints: Final = { "PyNumber_Add": Annotation('Generic "+" operation.'), "PyNumber_Subtract": Annotation('Generic "-" operation.'), "PyNumber_Multiply": Annotation('Generic "*" operation.'), "PyNumber_TrueDivide": Annotation('Generic "/" operation.'), "PyNumber_FloorDivide": Annotation('Generic "//" operation.'), "PyNumber_Positive": Annotation('Generic unary "+" operation.'), "PyNumber_Negative": Annotation('Generic unary "-" operation.'), "PyNumber_And": Annotation('Generic "&" operation.'), "PyNumber_Or": Annotation('Generic "|" operation.'), "PyNumber_Xor": Annotation('Generic "^" operation.'), "PyNumber_Lshift": Annotation('Generic "<<" operation.'), "PyNumber_Rshift": Annotation('Generic ">>" operation.'), "PyNumber_Invert": Annotation('Generic "~" operation.'), "PyObject_Call": Annotation("Generic call operation."), "PyObject_CallObject": Annotation("Generic call operation."), "PyObject_RichCompare": Annotation("Generic comparison operation."), "PyObject_GetItem": Annotation("Generic indexing operation."), "PyObject_SetItem": Annotation("Generic indexed assignment."), } stdlib_hints: Final = { "functools.partial": Annotation( '"functools.partial" is inefficient in compiled code.', priority=3 ), "itertools.chain": Annotation( '"itertools.chain" is inefficient in compiled code (hint: replace with for loops).', priority=3, ), "itertools.groupby": Annotation( '"itertools.groupby" is inefficient in compiled code.', priority=3 ), "itertools.islice": Annotation( '"itertools.islice" is inefficient in compiled code (hint: replace with for loop over index range).', priority=3, ), "copy.deepcopy": Annotation( '"copy.deepcopy" tends to be slow. Make a shallow copy if possible.', priority=2 ), } CSS = """\ .collapsible { cursor: pointer; } .content { display: block; margin-top: 10px; margin-bottom: 10px; } .hint { display: inline; border: 1px solid #ccc; padding: 5px; } """ JS = """\ document.querySelectorAll('.collapsible').forEach(function(collapsible) { collapsible.addEventListener('click', function() { const content = this.nextElementSibling; if (content.style.display === 'none') { content.style.display = 'block'; } else { content.style.display = 'none'; } }); }); """ class AnnotatedSource: """Annotations for a single compiled source file.""" def __init__(self, path: str, annotations: dict[int, list[Annotation]]) -> None: self.path = path self.annotations = annotations def generate_annotated_html( html_fnam: str, result: BuildResult, modules: dict[str, ModuleIR], mapper: Mapper ) -> None: annotations = [] for mod, mod_ir in modules.items(): path = result.graph[mod].path tree = result.graph[mod].tree assert tree is not None annotations.append( generate_annotations(path or "", tree, mod_ir, result.types, mapper) ) html = generate_html_report(annotations) with open(html_fnam, "w") as f: f.write(html) formatter = FancyFormatter(sys.stdout, sys.stderr, False) formatted = formatter.style(os.path.abspath(html_fnam), "none", underline=True, bold=True) print(f"\nWrote {formatted} -- open in browser to view\n") def generate_annotations( path: str, tree: MypyFile, ir: ModuleIR, type_map: dict[Expression, Type], mapper: Mapper ) -> AnnotatedSource: anns = {} for func_ir in ir.functions: anns.update(function_annotations(func_ir, tree)) visitor = ASTAnnotateVisitor(type_map, mapper) for defn in tree.defs: defn.accept(visitor) anns.update(visitor.anns) for line in visitor.ignored_lines: if line in anns: del anns[line] return AnnotatedSource(path, anns) def function_annotations(func_ir: FuncIR, tree: MypyFile) -> dict[int, list[Annotation]]: """Generate annotations based on mypyc IR.""" # TODO: check if func_ir.line is -1 anns: dict[int, list[Annotation]] = {} for block in func_ir.blocks: for op in block.ops: if isinstance(op, CallC): name = op.function_name ann: str | Annotation | None = None if name == "CPyObject_GetAttr": attr_name = get_str_literal(op.args[1]) if attr_name in ("__prepare__", "GeneratorExit", "StopIteration"): # These attributes are internal to mypyc/CPython, and/or accessed # implicitly in generated code. The user has little control over # them. ann = None elif attr_name: ann = f'Get non-native attribute "{attr_name}".' else: ann = "Dynamic attribute lookup." elif name == "PyObject_SetAttr": attr_name = get_str_literal(op.args[1]) if attr_name == "__mypyc_attrs__": # This is set implicitly and can't be avoided. ann = None elif attr_name: ann = f'Set non-native attribute "{attr_name}".' else: ann = "Dynamic attribute set." elif name == "PyObject_VectorcallMethod": method_name = get_str_literal(op.args[0]) if method_name: ann = f'Call non-native method "{method_name}" (it may be defined in a non-native class, or decorated).' else: ann = "Dynamic method call." elif name in op_hints: ann = op_hints[name] elif name in ("CPyDict_GetItem", "CPyDict_SetItem"): if ( isinstance(op.args[0], LoadStatic) and isinstance(op.args[1], LoadLiteral) and func_ir.name != "__top_level__" ): load = op.args[0] name = str(op.args[1].value) sym = tree.names.get(name) if ( sym and sym.node and load.namespace == "static" and load.identifier == "globals" ): if sym.node.fullname in stdlib_hints: ann = stdlib_hints[sym.node.fullname] elif isinstance(sym.node, Var): ann = ( f'Access global "{name}" through namespace ' + "dictionary (hint: access is faster if you can make it Final)." ) else: ann = f'Access "{name}" through global namespace dictionary.' if ann: if isinstance(ann, str): ann = Annotation(ann) anns.setdefault(op.line, []).append(ann) return anns class ASTAnnotateVisitor(TraverserVisitor): """Generate annotations from mypy AST and inferred types.""" def __init__(self, type_map: dict[Expression, Type], mapper: Mapper) -> None: self.anns: dict[int, list[Annotation]] = {} self.ignored_lines: set[int] = set() self.func_depth = 0 self.type_map = type_map self.mapper = mapper def visit_func_def(self, o: FuncDef, /) -> None: if self.func_depth > 0: self.annotate( o, "A nested function object is allocated each time statement is executed. " + "A module-level function would be faster.", ) self.func_depth += 1 super().visit_func_def(o) self.func_depth -= 1 def visit_for_stmt(self, o: ForStmt, /) -> None: self.check_iteration([o.expr], "For loop") super().visit_for_stmt(o) def visit_dictionary_comprehension(self, o: DictionaryComprehension, /) -> None: self.check_iteration(o.sequences, "Comprehension") super().visit_dictionary_comprehension(o) def visit_generator_expr(self, o: GeneratorExpr, /) -> None: self.check_iteration(o.sequences, "Comprehension or generator") super().visit_generator_expr(o) def check_iteration(self, expressions: list[Expression], kind: str) -> None: for expr in expressions: typ = self.get_type(expr) if isinstance(typ, AnyType): self.annotate(expr, f'{kind} uses generic operations (iterable has type "Any").') elif isinstance(typ, Instance) and typ.type.fullname in ( "typing.Iterable", "typing.Iterator", "typing.Sequence", "typing.MutableSequence", ): self.annotate( expr, f'{kind} uses generic operations (iterable has the abstract type "{typ.type.fullname}").', ) def visit_class_def(self, o: ClassDef, /) -> None: super().visit_class_def(o) if self.func_depth == 0: # Don't complain about base classes at top level for base in o.base_type_exprs: self.ignored_lines.add(base.line) for s in o.defs.body: if isinstance(s, AssignmentStmt): # Don't complain about attribute initializers self.ignored_lines.add(s.line) elif isinstance(s, Decorator): # Don't complain about decorator definitions that generate some # dynamic operations. This is a bit heavy-handed. self.ignored_lines.add(s.func.line) def visit_with_stmt(self, o: WithStmt, /) -> None: for expr in o.expr: if isinstance(expr, CallExpr) and isinstance(expr.callee, RefExpr): node = expr.callee.node if isinstance(node, Decorator): if any( isinstance(d, RefExpr) and d.node and d.node.fullname == "contextlib.contextmanager" for d in node.decorators ): self.annotate( expr, f'"{node.name}" uses @contextmanager, which is slow ' + "in compiled code. Use a native class with " + '"__enter__" and "__exit__" methods instead.', priority=3, ) super().visit_with_stmt(o) def visit_assignment_stmt(self, o: AssignmentStmt, /) -> None: special_form = False if self.func_depth == 0: analyzed: Expression | None = o.rvalue if isinstance(o.rvalue, (CallExpr, IndexExpr, OpExpr)): analyzed = o.rvalue.analyzed if o.is_alias_def or isinstance( analyzed, (TypeVarExpr, NamedTupleExpr, TypedDictExpr, NewTypeExpr) ): special_form = True if special_form: # TODO: Ignore all lines if multi-line self.ignored_lines.add(o.line) super().visit_assignment_stmt(o) def visit_name_expr(self, o: NameExpr, /) -> None: if ann := stdlib_hints.get(o.fullname): self.annotate(o, ann) def visit_member_expr(self, o: MemberExpr, /) -> None: super().visit_member_expr(o) if ann := stdlib_hints.get(o.fullname): self.annotate(o, ann) def visit_call_expr(self, o: CallExpr, /) -> None: super().visit_call_expr(o) if ( isinstance(o.callee, RefExpr) and o.callee.fullname == "builtins.isinstance" and len(o.args) == 2 ): arg = o.args[1] self.check_isinstance_arg(arg) elif isinstance(o.callee, RefExpr) and isinstance(o.callee.node, TypeInfo): info = o.callee.node class_ir = self.mapper.type_to_ir.get(info) if (class_ir and not class_ir.is_ext_class) or ( class_ir is None and not info.fullname.startswith("builtins.") ): self.annotate( o, f'Creating an instance of non-native class "{info.name}" ' + "is slow.", 2 ) elif class_ir and class_ir.is_augmented: self.annotate( o, f'Class "{info.name}" is only partially native, and ' + "constructing an instance is slow.", 2, ) elif isinstance(o.callee, RefExpr) and isinstance(o.callee.node, Decorator): decorator = o.callee.node if self.mapper.is_native_ref_expr(o.callee): self.annotate( o, f'Calling a decorated function ("{decorator.name}") is inefficient, even if it\'s native.', 2, ) def check_isinstance_arg(self, arg: Expression) -> None: if isinstance(arg, RefExpr): if isinstance(arg.node, TypeInfo) and arg.node.is_protocol: self.annotate( arg, f'Expensive isinstance() check against protocol "{arg.node.name}".' ) elif isinstance(arg, TupleExpr): for item in arg.items: self.check_isinstance_arg(item) def visit_lambda_expr(self, o: LambdaExpr, /) -> None: self.annotate( o, "A new object is allocated for lambda each time it is evaluated. " + "A module-level function would be faster.", ) super().visit_lambda_expr(o) def annotate(self, o: Node, ann: str | Annotation, priority: int = 1) -> None: if isinstance(ann, str): ann = Annotation(ann, priority=priority) self.anns.setdefault(o.line, []).append(ann) def get_type(self, e: Expression) -> ProperType: t = self.type_map.get(e) if t: return get_proper_type(t) return AnyType(TypeOfAny.unannotated) def get_str_literal(v: Value) -> str | None: if isinstance(v, LoadLiteral) and isinstance(v.value, str): return v.value return None def get_max_prio(anns: list[Annotation]) -> list[Annotation]: max_prio = max(a.priority for a in anns) return [a for a in anns if a.priority == max_prio] def generate_html_report(sources: list[AnnotatedSource]) -> str: html = [] html.append("\n\n") html.append(f"") html.append("\n") html.append("\n") for src in sources: html.append(f"

{src.path}

\n") html.append("
")
        src_anns = src.annotations
        with open(src.path) as f:
            lines = f.readlines()
        for i, s in enumerate(lines):
            s = escape(s)
            line = i + 1
            linenum = "%5d" % line
            if line in src_anns:
                anns = get_max_prio(src_anns[line])
                ann_strs = [a.message for a in anns]
                hint = " ".join(ann_strs)
                s = colorize_line(linenum, s, hint_html=hint)
            else:
                s = linenum + "  " + s
            html.append(s)
        html.append("
") html.append("") html.append("\n") return "".join(html) def colorize_line(linenum: str, s: str, hint_html: str) -> str: hint_prefix = " " * len(linenum) + " " line_span = f'
{linenum} {s}
' hint_div = f'
{hint_prefix}
{hint_html}
' return f"{line_span}{hint_div}" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/build.py0000644000175100017510000006713415112307767015104 0ustar00runnerrunner"""Support for building extensions using mypyc with distutils or setuptools The main entry point is mypycify, which produces a list of extension modules to be passed to setup. A trivial setup.py for a mypyc built project, then, looks like: from setuptools import setup from mypyc.build import mypycify setup(name='test_module', ext_modules=mypycify(['foo.py']), ) See the mypycify docs for additional arguments. mypycify can integrate with either distutils or setuptools, but needs to know at import-time whether it is using distutils or setuputils. We hackily decide based on whether setuptools has been imported already. """ from __future__ import annotations import hashlib import os.path import re import sys import time from collections.abc import Iterable from typing import TYPE_CHECKING, Any, NamedTuple, NoReturn, Union, cast import mypyc.build_setup # noqa: F401 from mypy.build import BuildSource from mypy.errors import CompileError from mypy.fscache import FileSystemCache from mypy.main import process_options from mypy.options import Options from mypy.util import write_junit_xml from mypyc.annotate import generate_annotated_html from mypyc.codegen import emitmodule from mypyc.common import IS_FREE_THREADED, RUNTIME_C_FILES, shared_lib_name from mypyc.errors import Errors from mypyc.ir.pprint import format_modules from mypyc.namegen import exported_name from mypyc.options import CompilerOptions class ModDesc(NamedTuple): module: str c_files: list[str] other_files: list[str] include_dirs: list[str] LIBRT_MODULES = [ ModDesc("librt.internal", ["librt_internal.c"], [], []), ModDesc( "librt.base64", [ "librt_base64.c", "base64/lib.c", "base64/codec_choose.c", "base64/tables/tables.c", "base64/arch/generic/codec.c", "base64/arch/ssse3/codec.c", "base64/arch/sse41/codec.c", "base64/arch/sse42/codec.c", "base64/arch/avx/codec.c", "base64/arch/avx2/codec.c", "base64/arch/avx512/codec.c", "base64/arch/neon32/codec.c", "base64/arch/neon64/codec.c", ], [ "base64/arch/avx/enc_loop_asm.c", "base64/arch/avx2/enc_loop.c", "base64/arch/avx2/enc_loop_asm.c", "base64/arch/avx2/enc_reshuffle.c", "base64/arch/avx2/enc_translate.c", "base64/arch/avx2/dec_loop.c", "base64/arch/avx2/dec_reshuffle.c", "base64/arch/generic/32/enc_loop.c", "base64/arch/generic/64/enc_loop.c", "base64/arch/generic/32/dec_loop.c", "base64/arch/generic/enc_head.c", "base64/arch/generic/enc_tail.c", "base64/arch/generic/dec_head.c", "base64/arch/generic/dec_tail.c", "base64/arch/ssse3/dec_reshuffle.c", "base64/arch/ssse3/dec_loop.c", "base64/arch/ssse3/enc_loop_asm.c", "base64/arch/ssse3/enc_translate.c", "base64/arch/ssse3/enc_reshuffle.c", "base64/arch/ssse3/enc_loop.c", "base64/arch/neon64/dec_loop.c", "base64/arch/neon64/enc_loop_asm.c", "base64/codecs.h", "base64/env.h", "base64/tables/tables.h", "base64/tables/table_dec_32bit.h", "base64/tables/table_enc_12bit.h", ], ["base64"], ), ] try: # Import setuptools so that it monkey-patch overrides distutils import setuptools except ImportError: pass if TYPE_CHECKING: if sys.version_info >= (3, 12): from setuptools import Extension else: from distutils.core import Extension as _distutils_Extension from typing_extensions import TypeAlias from setuptools import Extension as _setuptools_Extension Extension: TypeAlias = Union[_setuptools_Extension, _distutils_Extension] if sys.version_info >= (3, 12): # From setuptools' monkeypatch from distutils import ccompiler, sysconfig # type: ignore[import-not-found] else: from distutils import ccompiler, sysconfig def get_extension() -> type[Extension]: # We can work with either setuptools or distutils, and pick setuptools # if it has been imported. use_setuptools = "setuptools" in sys.modules extension_class: type[Extension] if sys.version_info < (3, 12) and not use_setuptools: import distutils.core extension_class = distutils.core.Extension else: if not use_setuptools: sys.exit("error: setuptools not installed") extension_class = setuptools.Extension return extension_class def setup_mypycify_vars() -> None: """Rewrite a bunch of config vars in pretty dubious ways.""" # There has to be a better approach to this. # The vars can contain ints but we only work with str ones vars = cast(dict[str, str], sysconfig.get_config_vars()) if sys.platform == "darwin": # Disable building 32-bit binaries, since we generate too much code # for a 32-bit Mach-O object. There has to be a better way to do this. vars["LDSHARED"] = vars["LDSHARED"].replace("-arch i386", "") vars["LDFLAGS"] = vars["LDFLAGS"].replace("-arch i386", "") vars["CFLAGS"] = vars["CFLAGS"].replace("-arch i386", "") def fail(message: str) -> NoReturn: # TODO: Is there something else we should do to fail? sys.exit(message) def emit_messages(options: Options, messages: list[str], dt: float, serious: bool = False) -> None: # ... you know, just in case. if options.junit_xml: py_version = f"{options.python_version[0]}_{options.python_version[1]}" write_junit_xml( dt, serious, {None: messages} if messages else {}, options.junit_xml, py_version, options.platform, ) if messages: print("\n".join(messages)) def get_mypy_config( mypy_options: list[str], only_compile_paths: Iterable[str] | None, compiler_options: CompilerOptions, fscache: FileSystemCache | None, ) -> tuple[list[BuildSource], list[BuildSource], Options]: """Construct mypy BuildSources and Options from file and options lists""" all_sources, options = process_options(mypy_options, fscache=fscache) if only_compile_paths is not None: paths_set = set(only_compile_paths) mypyc_sources = [s for s in all_sources if s.path in paths_set] else: mypyc_sources = all_sources if compiler_options.separate: mypyc_sources = [ src for src in mypyc_sources if src.path and not src.path.endswith("__init__.py") ] if not mypyc_sources: return mypyc_sources, all_sources, options # Override whatever python_version is inferred from the .ini file, # and set the python_version to be the currently used version. options.python_version = sys.version_info[:2] if options.python_version[0] == 2: fail("Python 2 not supported") if not options.strict_optional: fail("Disabling strict optional checking not supported") options.show_traceback = True # Needed to get types for all AST nodes options.export_types = True # We use mypy incremental mode when doing separate/incremental mypyc compilation options.incremental = compiler_options.separate options.preserve_asts = True for source in mypyc_sources: options.per_module_options.setdefault(source.module, {})["mypyc"] = True return mypyc_sources, all_sources, options def generate_c_extension_shim( full_module_name: str, module_name: str, dir_name: str, group_name: str ) -> str: """Create a C extension shim with a passthrough PyInit function. Arguments: full_module_name: the dotted full module name module_name: the final component of the module name dir_name: the directory to place source code group_name: the name of the group """ cname = "%s.c" % full_module_name.replace(".", os.sep) cpath = os.path.join(dir_name, cname) if IS_FREE_THREADED: # We use multi-phase init in free-threaded builds to enable free threading. shim_name = "module_shim_no_gil_multiphase.tmpl" else: shim_name = "module_shim.tmpl" # We load the C extension shim template from a file. # (So that the file could be reused as a bazel template also.) with open(os.path.join(include_dir(), shim_name)) as f: shim_template = f.read() write_file( cpath, shim_template.format( modname=module_name, libname=shared_lib_name(group_name), full_modname=exported_name(full_module_name), ), ) return cpath def group_name(modules: list[str]) -> str: """Produce a probably unique name for a group from a list of module names.""" if len(modules) == 1: return modules[0] h = hashlib.sha1() h.update(",".join(modules).encode()) return h.hexdigest()[:20] def include_dir() -> str: """Find the path of the lib-rt dir that needs to be included""" return os.path.join(os.path.abspath(os.path.dirname(__file__)), "lib-rt") def generate_c( sources: list[BuildSource], options: Options, groups: emitmodule.Groups, fscache: FileSystemCache, compiler_options: CompilerOptions, ) -> tuple[list[list[tuple[str, str]]], str]: """Drive the actual core compilation step. The groups argument describes how modules are assigned to C extension modules. See the comments on the Groups type in mypyc.emitmodule for details. Returns the C source code and (for debugging) the pretty printed IR. """ t0 = time.time() try: result = emitmodule.parse_and_typecheck( sources, options, compiler_options, groups, fscache ) except CompileError as e: emit_messages(options, e.messages, time.time() - t0, serious=(not e.use_stdout)) sys.exit(1) t1 = time.time() if result.errors: emit_messages(options, result.errors, t1 - t0) sys.exit(1) if compiler_options.verbose: print(f"Parsed and typechecked in {t1 - t0:.3f}s") errors = Errors(options) modules, ctext, mapper = emitmodule.compile_modules_to_c( result, compiler_options=compiler_options, errors=errors, groups=groups ) t2 = time.time() emit_messages(options, errors.new_messages(), t2 - t1) if errors.num_errors: # No need to stop the build if only warnings were emitted. sys.exit(1) if compiler_options.verbose: print(f"Compiled to C in {t2 - t1:.3f}s") if options.mypyc_annotation_file: generate_annotated_html(options.mypyc_annotation_file, result, modules, mapper) return ctext, "\n".join(format_modules(modules)) def build_using_shared_lib( sources: list[BuildSource], group_name: str, cfiles: list[str], deps: list[str], build_dir: str, extra_compile_args: list[str], ) -> list[Extension]: """Produce the list of extension modules when a shared library is needed. This creates one shared library extension module that all the others import, and one shim extension module for each module in the build. Each shim simply calls an initialization function in the shared library. The shared library (which lib_name is the name of) is a Python extension module that exports the real initialization functions in Capsules stored in module attributes. """ extensions = [ get_extension()( shared_lib_name(group_name), sources=cfiles, include_dirs=[include_dir(), build_dir], depends=deps, extra_compile_args=extra_compile_args, ) ] for source in sources: module_name = source.module.split(".")[-1] shim_file = generate_c_extension_shim(source.module, module_name, build_dir, group_name) # We include the __init__ in the "module name" we stick in the Extension, # since this seems to be needed for it to end up in the right place. full_module_name = source.module assert source.path if os.path.split(source.path)[1] == "__init__.py": full_module_name += ".__init__" extensions.append( get_extension()( full_module_name, sources=[shim_file], extra_compile_args=extra_compile_args ) ) return extensions def build_single_module( sources: list[BuildSource], cfiles: list[str], extra_compile_args: list[str] ) -> list[Extension]: """Produce the list of extension modules for a standalone extension. This contains just one module, since there is no need for a shared module. """ return [ get_extension()( sources[0].module, sources=cfiles, include_dirs=[include_dir()], extra_compile_args=extra_compile_args, ) ] def write_file(path: str, contents: str) -> None: """Write data into a file. If the file already exists and has the same contents we want to write, skip writing so as to preserve the mtime and avoid triggering recompilation. """ # We encode it ourselves and open the files as binary to avoid windows # newline translation encoded_contents = contents.encode("utf-8") try: with open(path, "rb") as f: old_contents: bytes | None = f.read() except OSError: old_contents = None if old_contents != encoded_contents: os.makedirs(os.path.dirname(path), exist_ok=True) with open(path, "wb") as g: g.write(encoded_contents) # Fudge the mtime forward because otherwise when two builds happen close # together (like in a test) setuptools might not realize the source is newer # than the new artifact. # XXX: This is bad though. new_mtime = os.stat(path).st_mtime + 1 os.utime(path, times=(new_mtime, new_mtime)) def construct_groups( sources: list[BuildSource], separate: bool | list[tuple[list[str], str | None]], use_shared_lib: bool, group_name_override: str | None, ) -> emitmodule.Groups: """Compute Groups given the input source list and separate configs. separate is the user-specified configuration for how to assign modules to compilation groups (see mypycify docstring for details). This takes that and expands it into our internal representation of group configuration, documented in mypyc.emitmodule's definition of Group. """ if separate is True: groups: emitmodule.Groups = [([source], None) for source in sources] elif isinstance(separate, list): groups = [] used_sources = set() for files, name in separate: group_sources = [src for src in sources if src.path in files] groups.append((group_sources, name)) used_sources.update(group_sources) unused_sources = [src for src in sources if src not in used_sources] if unused_sources: groups.extend([([source], None) for source in unused_sources]) else: groups = [(sources, None)] # Generate missing names for i, (group, name) in enumerate(groups): if use_shared_lib and not name: if group_name_override is not None: name = group_name_override else: name = group_name([source.module for source in group]) groups[i] = (group, name) return groups def get_header_deps(cfiles: list[tuple[str, str]]) -> list[str]: """Find all the headers used by a group of cfiles. We do this by just regexping the source, which is a bit simpler than properly plumbing the data through. Arguments: cfiles: A list of (file name, file contents) pairs. """ headers: set[str] = set() for _, contents in cfiles: headers.update(re.findall(r'#include "(.*)"', contents)) return sorted(headers) def mypyc_build( paths: list[str], compiler_options: CompilerOptions, *, separate: bool | list[tuple[list[str], str | None]] = False, only_compile_paths: Iterable[str] | None = None, skip_cgen_input: Any | None = None, always_use_shared_lib: bool = False, ) -> tuple[emitmodule.Groups, list[tuple[list[str], list[str]]]]: """Do the front and middle end of mypyc building, producing and writing out C source.""" fscache = FileSystemCache() mypyc_sources, all_sources, options = get_mypy_config( paths, only_compile_paths, compiler_options, fscache ) # We generate a shared lib if there are multiple modules or if any # of the modules are in package. (Because I didn't want to fuss # around with making the single module code handle packages.) use_shared_lib = ( len(mypyc_sources) > 1 or any("." in x.module for x in mypyc_sources) or always_use_shared_lib ) groups = construct_groups(mypyc_sources, separate, use_shared_lib, compiler_options.group_name) if compiler_options.group_name is not None: assert len(groups) == 1, "If using custom group_name, only one group is expected" # We let the test harness just pass in the c file contents instead # so that it can do a corner-cutting version without full stubs. if not skip_cgen_input: group_cfiles, ops_text = generate_c( all_sources, options, groups, fscache, compiler_options=compiler_options ) # TODO: unique names? write_file(os.path.join(compiler_options.target_dir, "ops.txt"), ops_text) else: group_cfiles = skip_cgen_input # Write out the generated C and collect the files for each group # Should this be here?? group_cfilenames: list[tuple[list[str], list[str]]] = [] for cfiles in group_cfiles: cfilenames = [] for cfile, ctext in cfiles: cfile = os.path.join(compiler_options.target_dir, cfile) if not options.mypyc_skip_c_generation: write_file(cfile, ctext) if os.path.splitext(cfile)[1] == ".c": cfilenames.append(cfile) deps = [os.path.join(compiler_options.target_dir, dep) for dep in get_header_deps(cfiles)] group_cfilenames.append((cfilenames, deps)) return groups, group_cfilenames def mypycify( paths: list[str], *, only_compile_paths: Iterable[str] | None = None, verbose: bool = False, opt_level: str = "3", debug_level: str = "1", strip_asserts: bool = False, multi_file: bool = False, separate: bool | list[tuple[list[str], str | None]] = False, skip_cgen_input: Any | None = None, target_dir: str | None = None, include_runtime_files: bool | None = None, strict_dunder_typing: bool = False, group_name: str | None = None, log_trace: bool = False, depends_on_librt_internal: bool = False, install_librt: bool = False, experimental_features: bool = False, ) -> list[Extension]: """Main entry point to building using mypyc. This produces a list of Extension objects that should be passed as the ext_modules parameter to setup. Arguments: paths: A list of file paths to build. It may also contain mypy options. only_compile_paths: If not None, an iterable of paths that are to be the only modules compiled, even if other modules appear in the mypy command line given to paths. (These modules must still be passed to paths.) verbose: Should mypyc be more verbose. Defaults to false. opt_level: The optimization level, as a string. Defaults to '3' (meaning '-O3'). debug_level: The debug level, as a string. Defaults to '1' (meaning '-g1'). strip_asserts: Should asserts be stripped from the generated code. multi_file: Should each Python module be compiled into its own C source file. This can reduce compile time and memory requirements at the likely cost of runtime performance of compiled code. Defaults to false. separate: Should compiled modules be placed in separate extension modules. If False, all modules are placed in a single shared library. If True, every module is placed in its own library. Otherwise, separate should be a list of (file name list, optional shared library name) pairs specifying groups of files that should be placed in the same shared library (while all other modules will be placed in its own library). Each group can be compiled independently, which can speed up compilation, but calls between groups can be slower than calls within a group and can't be inlined. target_dir: The directory to write C output files. Defaults to 'build'. include_runtime_files: If not None, whether the mypyc runtime library should be directly #include'd instead of linked separately in order to reduce compiler invocations. Defaults to False in multi_file mode, True otherwise. strict_dunder_typing: If True, force dunder methods to have the return type of the method strictly, which can lead to more optimization opportunities. Defaults to False. group_name: If set, override the default group name derived from the hash of module names. This is used for the names of the output C files and the shared library. This is only supported if there is a single group. [Experimental] log_trace: If True, compiled code writes a trace log of events in mypyc_trace.txt (derived from executed operations). This is useful for performance analysis, such as analyzing which primitive ops are used the most and on which lines. depends_on_librt_internal: This is True only for mypy itself. install_librt: If True, also build the librt extension modules. Normally, those are build and published on PyPI separately, but during tests, we want to use their development versions (i.e. from current commit). experimental_features: Enable experimental features (install_librt=True is also needed if using experimental librt features). These have no backward compatibility guarantees! """ # Figure out our configuration compiler_options = CompilerOptions( strip_asserts=strip_asserts, multi_file=multi_file, verbose=verbose, separate=separate is not False, target_dir=target_dir, include_runtime_files=include_runtime_files, strict_dunder_typing=strict_dunder_typing, group_name=group_name, log_trace=log_trace, depends_on_librt_internal=depends_on_librt_internal, experimental_features=experimental_features, ) # Generate all the actual important C code groups, group_cfilenames = mypyc_build( paths, only_compile_paths=only_compile_paths, compiler_options=compiler_options, separate=separate, skip_cgen_input=skip_cgen_input, ) # Mess around with setuptools and actually get the thing built setup_mypycify_vars() # Create a compiler object so we can make decisions based on what # compiler is being used. typeshed is missing some attributes on the # compiler object so we give it type Any compiler: Any = ccompiler.new_compiler() sysconfig.customize_compiler(compiler) build_dir = compiler_options.target_dir cflags: list[str] = [] if compiler.compiler_type == "unix": cflags += [ f"-O{opt_level}", f"-g{debug_level}", "-Werror", "-Wno-unused-function", "-Wno-unused-label", "-Wno-unreachable-code", "-Wno-unused-variable", "-Wno-unused-command-line-argument", "-Wno-unknown-warning-option", "-Wno-unused-but-set-variable", "-Wno-ignored-optimization-argument", # Disables C Preprocessor (cpp) warnings # See https://github.com/mypyc/mypyc/issues/956 "-Wno-cpp", ] if log_trace: cflags.append("-DMYPYC_LOG_TRACE") if experimental_features: cflags.append("-DMYPYC_EXPERIMENTAL") elif compiler.compiler_type == "msvc": # msvc doesn't have levels, '/O2' is full and '/Od' is disable if opt_level == "0": opt_level = "d" elif opt_level in ("1", "2", "3"): opt_level = "2" if debug_level == "0": debug_level = "NONE" elif debug_level == "1": debug_level = "FASTLINK" elif debug_level in ("2", "3"): debug_level = "FULL" cflags += [ f"/O{opt_level}", f"/DEBUG:{debug_level}", "/wd4102", # unreferenced label "/wd4101", # unreferenced local variable "/wd4146", # negating unsigned int ] if multi_file: # Disable whole program optimization in multi-file mode so # that we actually get the compilation speed and memory # use wins that multi-file mode is intended for. cflags += ["/GL-", "/wd9025"] # warning about overriding /GL if log_trace: cflags.append("/DMYPYC_LOG_TRACE") if experimental_features: cflags.append("/DMYPYC_EXPERIMENTAL") # If configured to (defaults to yes in multi-file mode), copy the # runtime library in. Otherwise it just gets #included to save on # compiler invocations. shared_cfilenames = [] if not compiler_options.include_runtime_files: for name in RUNTIME_C_FILES: rt_file = os.path.join(build_dir, name) with open(os.path.join(include_dir(), name), encoding="utf-8") as f: write_file(rt_file, f.read()) shared_cfilenames.append(rt_file) extensions = [] for (group_sources, lib_name), (cfilenames, deps) in zip(groups, group_cfilenames): if lib_name: extensions.extend( build_using_shared_lib( group_sources, lib_name, cfilenames + shared_cfilenames, deps, build_dir, cflags, ) ) else: extensions.extend( build_single_module(group_sources, cfilenames + shared_cfilenames, cflags) ) if install_librt: for name in RUNTIME_C_FILES: rt_file = os.path.join(build_dir, name) with open(os.path.join(include_dir(), name), encoding="utf-8") as f: write_file(rt_file, f.read()) for mod, file_names, addit_files, includes in LIBRT_MODULES: for file_name in file_names + addit_files: rt_file = os.path.join(build_dir, file_name) with open(os.path.join(include_dir(), file_name), encoding="utf-8") as f: write_file(rt_file, f.read()) extensions.append( get_extension()( mod, sources=[ os.path.join(build_dir, file) for file in file_names + RUNTIME_C_FILES ], include_dirs=[include_dir()] + [os.path.join(include_dir(), d) for d in includes], extra_compile_args=cflags, ) ) return extensions ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/build_setup.py0000644000175100017510000000416515112307767016317 0ustar00runnerrunnerimport platform import sys try: # Import setuptools so that it monkey-patch overrides distutils import setuptools # noqa: F401 except ImportError: pass if sys.version_info >= (3, 12): # From setuptools' monkeypatch from distutils import ccompiler # type: ignore[import-not-found] else: from distutils import ccompiler EXTRA_FLAGS_PER_COMPILER_TYPE_PER_PATH_COMPONENT = { "unix": { "base64/arch/ssse3": ["-mssse3"], "base64/arch/sse41": ["-msse4.1"], "base64/arch/sse42": ["-msse4.2"], "base64/arch/avx2": ["-mavx2"], "base64/arch/avx": ["-mavx"], }, "msvc": { "base64/arch/sse42": ["/arch:SSE4.2"], "base64/arch/avx2": ["/arch:AVX2"], "base64/arch/avx": ["/arch:AVX"], }, } ccompiler.CCompiler.__spawn = ccompiler.CCompiler.spawn # type: ignore[attr-defined] X86_64 = platform.machine() in ("x86_64", "AMD64", "amd64") def spawn(self, cmd, **kwargs) -> None: # type: ignore[no-untyped-def] compiler_type: str = self.compiler_type extra_options = EXTRA_FLAGS_PER_COMPILER_TYPE_PER_PATH_COMPONENT[compiler_type] new_cmd = list(cmd) if X86_64 and extra_options is not None: # filenames are closer to the end of command line for argument in reversed(new_cmd): # Check if the matching argument contains a source filename. if not str(argument).endswith(".c"): continue for path in extra_options.keys(): if path in str(argument): if compiler_type == "bcpp": compiler = new_cmd.pop() # Borland accepts a source file name at the end, # insert the options before it new_cmd.extend(extra_options[path]) new_cmd.append(compiler) else: new_cmd.extend(extra_options[path]) # path component is found, no need to search any further break self.__spawn(new_cmd, **kwargs) ccompiler.CCompiler.spawn = spawn # type: ignore[method-assign] ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6267657 mypy-1.19.0/mypyc/codegen/0000755000175100017510000000000015112310012014775 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/codegen/__init__.py0000644000175100017510000000000015112307767017123 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/codegen/cstring.py0000644000175100017510000000372415112307767017055 0ustar00runnerrunner"""Encode valid C string literals from Python strings. If a character is not allowed in C string literals, it is either emitted as a simple escape sequence (e.g. '\\n'), or an octal escape sequence with exactly three digits ('\\oXXX'). Question marks are escaped to prevent trigraphs in the string literal from being interpreted. Note that '\\?' is an invalid escape sequence in Python. Consider the string literal "AB\\xCDEF". As one would expect, Python parses it as ['A', 'B', 0xCD, 'E', 'F']. However, the C standard specifies that all hexadecimal digits immediately following '\\x' will be interpreted as part of the escape sequence. Therefore, it is unexpectedly parsed as ['A', 'B', 0xCDEF]. Emitting ("AB\\xCD" "EF") would avoid this behaviour. However, we opt for simplicity and use octal escape sequences instead. They do not suffer from the same issue as they are defined to parse at most three octal digits. """ from __future__ import annotations import string from typing import Final CHAR_MAP: Final = [f"\\{i:03o}" for i in range(256)] # It is safe to use string.printable as it always uses the C locale. for c in string.printable: CHAR_MAP[ord(c)] = c # These assignments must come last because we prioritize simple escape # sequences over any other representation. for c in ("'", '"', "\\", "a", "b", "f", "n", "r", "t", "v"): escaped = f"\\{c}" decoded = escaped.encode("ascii").decode("unicode_escape") CHAR_MAP[ord(decoded)] = escaped # This escape sequence is invalid in Python. CHAR_MAP[ord("?")] = r"\?" def encode_bytes_as_c_string(b: bytes) -> str: """Produce contents of a C string literal for a byte string, without quotes.""" escaped = "".join([CHAR_MAP[i] for i in b]) return escaped def c_string_initializer(value: bytes) -> str: """Create initializer for a C char[]/ char * variable from a string. For example, if value if b'foo', the result would be '"foo"'. """ return '"' + encode_bytes_as_c_string(value) + '"' ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/codegen/emit.py0000644000175100017510000014070115112307767016337 0ustar00runnerrunner"""Utilities for emitting C code.""" from __future__ import annotations import pprint import sys import textwrap from typing import Callable, Final from mypyc.codegen.literals import Literals from mypyc.common import ( ATTR_PREFIX, BITMAP_BITS, FAST_ISINSTANCE_MAX_SUBCLASSES, HAVE_IMMORTAL, NATIVE_PREFIX, REG_PREFIX, STATIC_PREFIX, TYPE_PREFIX, ) from mypyc.ir.class_ir import ClassIR, all_concrete_classes from mypyc.ir.func_ir import FuncDecl from mypyc.ir.ops import BasicBlock, Value from mypyc.ir.rtypes import ( RInstance, RPrimitive, RTuple, RType, RUnion, int_rprimitive, is_bool_or_bit_rprimitive, is_bytes_rprimitive, is_dict_rprimitive, is_fixed_width_rtype, is_float_rprimitive, is_frozenset_rprimitive, is_int16_rprimitive, is_int32_rprimitive, is_int64_rprimitive, is_int_rprimitive, is_list_rprimitive, is_native_rprimitive, is_none_rprimitive, is_object_rprimitive, is_optional_type, is_range_rprimitive, is_set_rprimitive, is_short_int_rprimitive, is_str_rprimitive, is_tuple_rprimitive, is_uint8_rprimitive, object_rprimitive, optional_value_type, ) from mypyc.namegen import NameGenerator, exported_name from mypyc.sametype import is_same_type # Whether to insert debug asserts for all error handling, to quickly # catch errors propagating without exceptions set. DEBUG_ERRORS: Final = False class HeaderDeclaration: """A representation of a declaration in C. This is used to generate declarations in header files and (optionally) definitions in source files. Attributes: decl: C source code for the declaration. defn: Optionally, C source code for a definition. dependencies: The names of any objects that must be declared prior. is_type: Whether the declaration is of a C type. (C types will be declared in external header files and not marked 'extern'.) needs_export: Whether the declared object needs to be exported to other modules in the linking table. """ def __init__( self, decl: str | list[str], defn: list[str] | None = None, *, dependencies: set[str] | None = None, is_type: bool = False, needs_export: bool = False, ) -> None: self.decl = [decl] if isinstance(decl, str) else decl self.defn = defn self.dependencies = dependencies or set() self.is_type = is_type self.needs_export = needs_export class EmitterContext: """Shared emitter state for a compilation group.""" def __init__( self, names: NameGenerator, group_name: str | None = None, group_map: dict[str, str | None] | None = None, ) -> None: """Setup shared emitter state. Args: names: The name generator to use group_map: Map from module names to group name group_name: Current group name """ self.temp_counter = 0 self.names = names self.group_name = group_name self.group_map = group_map or {} # Groups that this group depends on self.group_deps: set[str] = set() # The map below is used for generating declarations and # definitions at the top of the C file. The main idea is that they can # be generated at any time during the emit phase. # A map of a C identifier to whatever the C identifier declares. Currently this is # used for declaring structs and the key corresponds to the name of the struct. # The declaration contains the body of the struct. self.declarations: dict[str, HeaderDeclaration] = {} self.literals = Literals() class ErrorHandler: """Describes handling errors in unbox/cast operations.""" class AssignHandler(ErrorHandler): """Assign an error value on error.""" class GotoHandler(ErrorHandler): """Goto label on error.""" def __init__(self, label: str) -> None: self.label = label class TracebackAndGotoHandler(ErrorHandler): """Add traceback item and goto label on error.""" def __init__( self, label: str, source_path: str, module_name: str, traceback_entry: tuple[str, int] ) -> None: self.label = label self.source_path = source_path self.module_name = module_name self.traceback_entry = traceback_entry class ReturnHandler(ErrorHandler): """Return a constant value on error.""" def __init__(self, value: str) -> None: self.value = value class Emitter: """Helper for C code generation.""" def __init__( self, context: EmitterContext, value_names: dict[Value, str] | None = None, capi_version: tuple[int, int] | None = None, ) -> None: self.context = context self.capi_version = capi_version or sys.version_info[:2] self.names = context.names self.value_names = value_names or {} self.fragments: list[str] = [] self._indent = 0 # Low-level operations def indent(self) -> None: self._indent += 4 def dedent(self) -> None: self._indent -= 4 assert self._indent >= 0 def label(self, label: BasicBlock) -> str: return "CPyL%s" % label.label def reg(self, reg: Value) -> str: return REG_PREFIX + self.value_names[reg] def attr(self, name: str) -> str: return ATTR_PREFIX + name def object_annotation(self, obj: object, line: str) -> str: """Build a C comment with an object's string representation. If the comment exceeds the line length limit, it's wrapped into a multiline string (with the extra lines indented to be aligned with the first line's comment). If it contains illegal characters, an empty string is returned.""" line_width = self._indent + len(line) formatted = pprint.pformat(obj, compact=True, width=max(90 - line_width, 20)) if any(x in formatted for x in ("/*", "*/", "\0")): return "" if "\n" in formatted: first_line, rest = formatted.split("\n", maxsplit=1) comment_continued = textwrap.indent(rest, (line_width + 3) * " ") return f" /* {first_line}\n{comment_continued} */" else: return f" /* {formatted} */" def emit_line(self, line: str = "", *, ann: object = None) -> None: if line.startswith("}"): self.dedent() comment = self.object_annotation(ann, line) if ann is not None else "" self.fragments.append(self._indent * " " + line + comment + "\n") if line.endswith("{"): self.indent() def emit_lines(self, *lines: str) -> None: for line in lines: self.emit_line(line) def emit_label(self, label: BasicBlock | str) -> None: if isinstance(label, str): text = label else: if label.label == 0 or not label.referenced: return text = self.label(label) # Extra semicolon prevents an error when the next line declares a tempvar self.fragments.append(f"{text}: ;\n") def emit_from_emitter(self, emitter: Emitter) -> None: self.fragments.extend(emitter.fragments) def emit_printf(self, fmt: str, *args: str) -> None: fmt = fmt.replace("\n", "\\n") self.emit_line("printf(%s);" % ", ".join(['"%s"' % fmt] + list(args))) self.emit_line("fflush(stdout);") def temp_name(self) -> str: self.context.temp_counter += 1 return "__tmp%d" % self.context.temp_counter def new_label(self) -> str: self.context.temp_counter += 1 return "__LL%d" % self.context.temp_counter def get_module_group_prefix(self, module_name: str) -> str: """Get the group prefix for a module (relative to the current group). The prefix should be prepended to the object name whenever accessing an object from this module. If the module lives is in the current compilation group, there is no prefix. But if it lives in a different group (and hence a separate extension module), we need to access objects from it indirectly via an export table. For example, for code in group `a` to call a function `bar` in group `b`, it would need to do `exports_b.CPyDef_bar(...)`, while code that is also in group `b` can simply do `CPyDef_bar(...)`. Thus the prefix for a module in group `b` is 'exports_b.' if the current group is *not* b and just '' if it is. """ groups = self.context.group_map target_group_name = groups.get(module_name) if target_group_name and target_group_name != self.context.group_name: self.context.group_deps.add(target_group_name) return f"exports_{exported_name(target_group_name)}." else: return "" def get_group_prefix(self, obj: ClassIR | FuncDecl) -> str: """Get the group prefix for an object.""" # See docs above return self.get_module_group_prefix(obj.module_name) def static_name(self, id: str, module: str | None, prefix: str = STATIC_PREFIX) -> str: """Create name of a C static variable. These are used for literals and imported modules, among other things. The caller should ensure that the (id, module) pair cannot overlap with other calls to this method within a compilation group. """ lib_prefix = "" if not module else self.get_module_group_prefix(module) # If we are accessing static via the export table, we need to dereference # the pointer also. star_maybe = "*" if lib_prefix else "" suffix = self.names.private_name(module or "", id) return f"{star_maybe}{lib_prefix}{prefix}{suffix}" def type_struct_name(self, cl: ClassIR) -> str: return self.static_name(cl.name, cl.module_name, prefix=TYPE_PREFIX) def ctype(self, rtype: RType) -> str: return rtype._ctype def ctype_spaced(self, rtype: RType) -> str: """Adds a space after ctype for non-pointers.""" ctype = self.ctype(rtype) if ctype[-1] == "*": return ctype else: return ctype + " " def c_undefined_value(self, rtype: RType) -> str: if not rtype.is_unboxed: return "NULL" elif isinstance(rtype, RPrimitive): return rtype.c_undefined elif isinstance(rtype, RTuple): return self.tuple_undefined_value(rtype) assert False, rtype def c_error_value(self, rtype: RType) -> str: return self.c_undefined_value(rtype) def native_function_name(self, fn: FuncDecl) -> str: return f"{NATIVE_PREFIX}{fn.cname(self.names)}" def tuple_c_declaration(self, rtuple: RTuple) -> list[str]: result = [ f"#ifndef MYPYC_DECLARED_{rtuple.struct_name}", f"#define MYPYC_DECLARED_{rtuple.struct_name}", f"typedef struct {rtuple.struct_name} {{", ] if len(rtuple.types) == 0: # empty tuple # Empty tuples contain a flag so that they can still indicate # error values. result.append("int empty_struct_error_flag;") else: i = 0 for typ in rtuple.types: result.append(f"{self.ctype_spaced(typ)}f{i};") i += 1 result.append(f"}} {rtuple.struct_name};") result.append("#endif") result.append("") return result def bitmap_field(self, index: int) -> str: """Return C field name used for attribute bitmap.""" n = index // BITMAP_BITS if n == 0: return "bitmap" return f"bitmap{n + 1}" def attr_bitmap_expr(self, obj: str, cl: ClassIR, index: int) -> str: """Return reference to the attribute definedness bitmap.""" cast = f"({cl.struct_name(self.names)} *)" attr = self.bitmap_field(index) return f"({cast}{obj})->{attr}" def emit_attr_bitmap_set( self, value: str, obj: str, rtype: RType, cl: ClassIR, attr: str ) -> None: """Mark an attribute as defined in the attribute bitmap. Assumes that the attribute is tracked in the bitmap (only some attributes use the bitmap). If 'value' is not equal to the error value, do nothing. """ self._emit_attr_bitmap_update(value, obj, rtype, cl, attr, clear=False) def emit_attr_bitmap_clear(self, obj: str, rtype: RType, cl: ClassIR, attr: str) -> None: """Mark an attribute as undefined in the attribute bitmap. Unlike emit_attr_bitmap_set, clear unconditionally. """ self._emit_attr_bitmap_update("", obj, rtype, cl, attr, clear=True) def _emit_attr_bitmap_update( self, value: str, obj: str, rtype: RType, cl: ClassIR, attr: str, clear: bool ) -> None: if value: check = self.error_value_check(rtype, value, "==") self.emit_line(f"if (unlikely({check})) {{") index = cl.bitmap_attrs.index(attr) mask = 1 << (index & (BITMAP_BITS - 1)) bitmap = self.attr_bitmap_expr(obj, cl, index) if clear: self.emit_line(f"{bitmap} &= ~{mask};") else: self.emit_line(f"{bitmap} |= {mask};") if value: self.emit_line("}") def emit_undefined_attr_check( self, rtype: RType, attr_expr: str, compare: str, obj: str, attr: str, cl: ClassIR, *, unlikely: bool = False, ) -> None: check = self.error_value_check(rtype, attr_expr, compare) if unlikely: check = f"unlikely({check})" if rtype.error_overlap: index = cl.bitmap_attrs.index(attr) bit = 1 << (index & (BITMAP_BITS - 1)) attr = self.bitmap_field(index) obj_expr = f"({cl.struct_name(self.names)} *){obj}" check = f"{check} && !(({obj_expr})->{attr} & {bit})" self.emit_line(f"if ({check}) {{") def error_value_check(self, rtype: RType, value: str, compare: str) -> str: if isinstance(rtype, RTuple): return self.tuple_undefined_check_cond( rtype, value, self.c_error_value, compare, check_exception=False ) else: return f"{value} {compare} {self.c_error_value(rtype)}" def tuple_undefined_check_cond( self, rtuple: RTuple, tuple_expr_in_c: str, c_type_compare_val: Callable[[RType], str], compare: str, *, check_exception: bool = True, ) -> str: if len(rtuple.types) == 0: # empty tuple return "{}.empty_struct_error_flag {} {}".format( tuple_expr_in_c, compare, c_type_compare_val(int_rprimitive) ) if rtuple.error_overlap: i = 0 item_type = rtuple.types[0] else: for i, typ in enumerate(rtuple.types): if not typ.error_overlap: item_type = rtuple.types[i] break else: assert False, "not expecting tuple with error overlap" if isinstance(item_type, RTuple): return self.tuple_undefined_check_cond( item_type, tuple_expr_in_c + f".f{i}", c_type_compare_val, compare ) else: check = f"{tuple_expr_in_c}.f{i} {compare} {c_type_compare_val(item_type)}" if rtuple.error_overlap and check_exception: check += " && PyErr_Occurred()" return check def tuple_undefined_value(self, rtuple: RTuple) -> str: """Undefined tuple value suitable in an expression.""" return f"({rtuple.struct_name}) {self.c_initializer_undefined_value(rtuple)}" def c_initializer_undefined_value(self, rtype: RType) -> str: """Undefined value represented in a form suitable for variable initialization.""" if isinstance(rtype, RTuple): if not rtype.types: # Empty tuples contain a flag so that they can still indicate # error values. return f"{{ {int_rprimitive.c_undefined} }}" items = ", ".join([self.c_initializer_undefined_value(t) for t in rtype.types]) return f"{{ {items} }}" else: return self.c_undefined_value(rtype) # Higher-level operations def declare_tuple_struct(self, tuple_type: RTuple) -> None: if tuple_type.struct_name not in self.context.declarations: dependencies = set() for typ in tuple_type.types: # XXX other types might eventually need similar behavior if isinstance(typ, RTuple): dependencies.add(typ.struct_name) self.context.declarations[tuple_type.struct_name] = HeaderDeclaration( self.tuple_c_declaration(tuple_type), dependencies=dependencies, is_type=True ) def emit_inc_ref(self, dest: str, rtype: RType, *, rare: bool = False) -> None: """Increment reference count of C expression `dest`. For composite unboxed structures (e.g. tuples) recursively increment reference counts for each component. If rare is True, optimize for code size and compilation speed. """ if is_int_rprimitive(rtype): if rare: self.emit_line("CPyTagged_IncRef(%s);" % dest) else: self.emit_line("CPyTagged_INCREF(%s);" % dest) elif isinstance(rtype, RTuple): for i, item_type in enumerate(rtype.types): self.emit_inc_ref(f"{dest}.f{i}", item_type) elif not rtype.is_unboxed: # Always inline, since this is a simple but very hot op if rtype.may_be_immortal or not HAVE_IMMORTAL: self.emit_line("CPy_INCREF(%s);" % dest) else: self.emit_line("CPy_INCREF_NO_IMM(%s);" % dest) # Otherwise assume it's an unboxed, pointerless value and do nothing. def emit_dec_ref( self, dest: str, rtype: RType, *, is_xdec: bool = False, rare: bool = False ) -> None: """Decrement reference count of C expression `dest`. For composite unboxed structures (e.g. tuples) recursively decrement reference counts for each component. If rare is True, optimize for code size and compilation speed. """ x = "X" if is_xdec else "" if is_int_rprimitive(rtype): if rare: self.emit_line(f"CPyTagged_{x}DecRef({dest});") else: # Inlined self.emit_line(f"CPyTagged_{x}DECREF({dest});") elif isinstance(rtype, RTuple): for i, item_type in enumerate(rtype.types): self.emit_dec_ref(f"{dest}.f{i}", item_type, is_xdec=is_xdec, rare=rare) elif not rtype.is_unboxed: if rare: self.emit_line(f"CPy_{x}DecRef({dest});") else: # Inlined if rtype.may_be_immortal or not HAVE_IMMORTAL: self.emit_line(f"CPy_{x}DECREF({dest});") else: self.emit_line(f"CPy_{x}DECREF_NO_IMM({dest});") # Otherwise assume it's an unboxed, pointerless value and do nothing. def pretty_name(self, typ: RType) -> str: value_type = optional_value_type(typ) if value_type is not None: return "%s or None" % self.pretty_name(value_type) return str(typ) def emit_cast( self, src: str, dest: str, typ: RType, *, declare_dest: bool = False, error: ErrorHandler | None = None, raise_exception: bool = True, optional: bool = False, src_type: RType | None = None, likely: bool = True, ) -> None: """Emit code for casting a value of given type. Somewhat strangely, this supports unboxed types but only operates on boxed versions. This is necessary to properly handle types such as Optional[int] in compatibility glue. By default, assign NULL (error value) to dest if the value has an incompatible type and raise TypeError. These can be customized using 'error' and 'raise_exception'. Always copy/steal the reference in 'src'. Args: src: Name of source C variable dest: Name of target C variable typ: Type of value declare_dest: If True, also declare the variable 'dest' error: What happens on error raise_exception: If True, also raise TypeError on failure likely: If the cast is likely to succeed (can be False for unions) """ error = error or AssignHandler() # Special case casting *from* optional if src_type and is_optional_type(src_type) and not is_object_rprimitive(typ): value_type = optional_value_type(src_type) assert value_type is not None if is_same_type(value_type, typ): if declare_dest: self.emit_line(f"PyObject *{dest};") check = "({} != Py_None)" if likely: check = f"(likely{check})" self.emit_arg_check(src, dest, typ, check.format(src), optional) self.emit_lines(f" {dest} = {src};", "else {") self.emit_cast_error_handler(error, src, dest, typ, raise_exception) self.emit_line("}") return # TODO: Verify refcount handling. if ( is_list_rprimitive(typ) or is_dict_rprimitive(typ) or is_set_rprimitive(typ) or is_frozenset_rprimitive(typ) or is_str_rprimitive(typ) or is_range_rprimitive(typ) or is_float_rprimitive(typ) or is_int_rprimitive(typ) or is_bool_or_bit_rprimitive(typ) or is_fixed_width_rtype(typ) ): if declare_dest: self.emit_line(f"PyObject *{dest};") if is_list_rprimitive(typ): prefix = "PyList" elif is_dict_rprimitive(typ): prefix = "PyDict" elif is_set_rprimitive(typ): prefix = "PySet" elif is_frozenset_rprimitive(typ): prefix = "PyFrozenSet" elif is_str_rprimitive(typ): prefix = "PyUnicode" elif is_range_rprimitive(typ): prefix = "PyRange" elif is_float_rprimitive(typ): prefix = "CPyFloat" elif is_int_rprimitive(typ) or is_fixed_width_rtype(typ): # TODO: Range check for fixed-width types? prefix = "PyLong" elif is_bool_or_bit_rprimitive(typ): prefix = "PyBool" else: assert False, f"unexpected primitive type: {typ}" check = "({}_Check({}))" if likely: check = f"(likely{check})" self.emit_arg_check(src, dest, typ, check.format(prefix, src), optional) self.emit_lines(f" {dest} = {src};", "else {") self.emit_cast_error_handler(error, src, dest, typ, raise_exception) self.emit_line("}") elif is_bytes_rprimitive(typ): if declare_dest: self.emit_line(f"PyObject *{dest};") check = "(PyBytes_Check({}) || PyByteArray_Check({}))" if likely: check = f"(likely{check})" self.emit_arg_check(src, dest, typ, check.format(src, src), optional) self.emit_lines(f" {dest} = {src};", "else {") self.emit_cast_error_handler(error, src, dest, typ, raise_exception) self.emit_line("}") elif is_tuple_rprimitive(typ): if declare_dest: self.emit_line(f"{self.ctype(typ)} {dest};") check = "(PyTuple_Check({}))" if likely: check = f"(likely{check})" self.emit_arg_check(src, dest, typ, check.format(src), optional) self.emit_lines(f" {dest} = {src};", "else {") self.emit_cast_error_handler(error, src, dest, typ, raise_exception) self.emit_line("}") elif isinstance(typ, RInstance): if declare_dest: self.emit_line(f"PyObject *{dest};") concrete = all_concrete_classes(typ.class_ir) # If there are too many concrete subclasses or we can't find any # (meaning the code ought to be dead or we aren't doing global opts), # fall back to a normal typecheck. # Otherwise check all the subclasses. if not concrete or len(concrete) > FAST_ISINSTANCE_MAX_SUBCLASSES + 1: check = "(PyObject_TypeCheck({}, {}))".format( src, self.type_struct_name(typ.class_ir) ) else: full_str = "(Py_TYPE({src}) == {targets[0]})" for i in range(1, len(concrete)): full_str += " || (Py_TYPE({src}) == {targets[%d]})" % i if len(concrete) > 1: full_str = "(%s)" % full_str check = full_str.format( src=src, targets=[self.type_struct_name(ir) for ir in concrete] ) if likely: check = f"(likely{check})" self.emit_arg_check(src, dest, typ, check, optional) self.emit_lines(f" {dest} = {src};", "else {") self.emit_cast_error_handler(error, src, dest, typ, raise_exception) self.emit_line("}") elif is_none_rprimitive(typ): if declare_dest: self.emit_line(f"PyObject *{dest};") check = "({} == Py_None)" if likely: check = f"(likely{check})" self.emit_arg_check(src, dest, typ, check.format(src), optional) self.emit_lines(f" {dest} = {src};", "else {") self.emit_cast_error_handler(error, src, dest, typ, raise_exception) self.emit_line("}") elif is_object_rprimitive(typ): if declare_dest: self.emit_line(f"PyObject *{dest};") self.emit_arg_check(src, dest, typ, "", optional) self.emit_line(f"{dest} = {src};") if optional: self.emit_line("}") elif is_native_rprimitive(typ): # Native primitive types have type check functions of form "CPy_Check(...)". if declare_dest: self.emit_line(f"PyObject *{dest};") short_name = typ.name.rsplit(".", 1)[-1] check = f"(CPy{short_name}_Check({src}))" if likely: check = f"(likely{check})" self.emit_arg_check(src, dest, typ, check, optional) self.emit_lines(f" {dest} = {src};", "else {") self.emit_cast_error_handler(error, src, dest, typ, raise_exception) self.emit_line("}") elif isinstance(typ, RUnion): self.emit_union_cast( src, dest, typ, declare_dest, error, optional, src_type, raise_exception ) elif isinstance(typ, RTuple): assert not optional self.emit_tuple_cast(src, dest, typ, declare_dest, error, src_type) else: assert False, "Cast not implemented: %s" % typ def emit_cast_error_handler( self, error: ErrorHandler, src: str, dest: str, typ: RType, raise_exception: bool ) -> None: if raise_exception: if isinstance(error, TracebackAndGotoHandler): # Merge raising and emitting traceback entry into a single call. self.emit_type_error_traceback( error.source_path, error.module_name, error.traceback_entry, typ=typ, src=src ) self.emit_line("goto %s;" % error.label) return self.emit_line(f'CPy_TypeError("{self.pretty_name(typ)}", {src}); ') if isinstance(error, AssignHandler): self.emit_line("%s = NULL;" % dest) elif isinstance(error, GotoHandler): self.emit_line("goto %s;" % error.label) elif isinstance(error, TracebackAndGotoHandler): self.emit_line("%s = NULL;" % dest) self.emit_traceback(error.source_path, error.module_name, error.traceback_entry) self.emit_line("goto %s;" % error.label) else: assert isinstance(error, ReturnHandler), error self.emit_line("return %s;" % error.value) def emit_union_cast( self, src: str, dest: str, typ: RUnion, declare_dest: bool, error: ErrorHandler, optional: bool, src_type: RType | None, raise_exception: bool, ) -> None: """Emit cast to a union type. The arguments are similar to emit_cast. """ if declare_dest: self.emit_line(f"PyObject *{dest};") good_label = self.new_label() if optional: self.emit_line(f"if ({src} == NULL) {{") self.emit_line(f"{dest} = {self.c_error_value(typ)};") self.emit_line(f"goto {good_label};") self.emit_line("}") for item in typ.items: self.emit_cast( src, dest, item, declare_dest=False, raise_exception=False, optional=False, likely=False, ) self.emit_line(f"if ({dest} != NULL) goto {good_label};") # Handle cast failure. self.emit_cast_error_handler(error, src, dest, typ, raise_exception) self.emit_label(good_label) def emit_tuple_cast( self, src: str, dest: str, typ: RTuple, declare_dest: bool, error: ErrorHandler, src_type: RType | None, ) -> None: """Emit cast to a tuple type. The arguments are similar to emit_cast. """ if declare_dest: self.emit_line(f"PyObject *{dest};") # This reuse of the variable is super dodgy. We don't even # care about the values except to check whether they are # invalid. out_label = self.new_label() self.emit_lines( "if (unlikely(!(PyTuple_Check({r}) && PyTuple_GET_SIZE({r}) == {size}))) {{".format( r=src, size=len(typ.types) ), f"{dest} = NULL;", f"goto {out_label};", "}", ) for i, item in enumerate(typ.types): # Since we did the checks above this should never fail self.emit_cast( f"PyTuple_GET_ITEM({src}, {i})", dest, item, declare_dest=False, raise_exception=False, optional=False, ) self.emit_line(f"if ({dest} == NULL) goto {out_label};") self.emit_line(f"{dest} = {src};") self.emit_label(out_label) def emit_arg_check(self, src: str, dest: str, typ: RType, check: str, optional: bool) -> None: if optional: self.emit_line(f"if ({src} == NULL) {{") self.emit_line(f"{dest} = {self.c_error_value(typ)};") if check != "": self.emit_line("{}if {}".format("} else " if optional else "", check)) elif optional: self.emit_line("else {") def emit_unbox( self, src: str, dest: str, typ: RType, *, declare_dest: bool = False, error: ErrorHandler | None = None, raise_exception: bool = True, optional: bool = False, borrow: bool = False, ) -> None: """Emit code for unboxing a value of given type (from PyObject *). By default, assign error value to dest if the value has an incompatible type and raise TypeError. These can be customized using 'error' and 'raise_exception'. Generate a new reference unless 'borrow' is True. Args: src: Name of source C variable dest: Name of target C variable typ: Type of value declare_dest: If True, also declare the variable 'dest' error: What happens on error raise_exception: If True, also raise TypeError on failure borrow: If True, create a borrowed reference """ error = error or AssignHandler() # TODO: Verify refcount handling. if isinstance(error, AssignHandler): failure = f"{dest} = {self.c_error_value(typ)};" elif isinstance(error, GotoHandler): failure = "goto %s;" % error.label else: assert isinstance(error, ReturnHandler), error failure = "return %s;" % error.value if raise_exception: raise_exc = f'CPy_TypeError("{self.pretty_name(typ)}", {src}); ' failure = raise_exc + failure if is_int_rprimitive(typ) or is_short_int_rprimitive(typ): if declare_dest: self.emit_line(f"CPyTagged {dest};") self.emit_arg_check(src, dest, typ, f"(likely(PyLong_Check({src})))", optional) if borrow: self.emit_line(f" {dest} = CPyTagged_BorrowFromObject({src});") else: self.emit_line(f" {dest} = CPyTagged_FromObject({src});") self.emit_line("else {") self.emit_line(failure) self.emit_line("}") elif is_bool_or_bit_rprimitive(typ): # Whether we are borrowing or not makes no difference. if declare_dest: self.emit_line(f"char {dest};") self.emit_arg_check(src, dest, typ, f"(unlikely(!PyBool_Check({src}))) {{", optional) self.emit_line(failure) self.emit_line("} else") conversion = f"{src} == Py_True" self.emit_line(f" {dest} = {conversion};") elif is_none_rprimitive(typ): # Whether we are borrowing or not makes no difference. if declare_dest: self.emit_line(f"char {dest};") self.emit_arg_check(src, dest, typ, f"(unlikely({src} != Py_None)) {{", optional) self.emit_line(failure) self.emit_line("} else") self.emit_line(f" {dest} = 1;") elif is_int64_rprimitive(typ): # Whether we are borrowing or not makes no difference. assert not optional # Not supported for overlapping error values if declare_dest: self.emit_line(f"int64_t {dest};") self.emit_line(f"{dest} = CPyLong_AsInt64({src});") if not isinstance(error, AssignHandler): self.emit_unbox_failure_with_overlapping_error_value(dest, typ, failure) elif is_int32_rprimitive(typ): # Whether we are borrowing or not makes no difference. assert not optional # Not supported for overlapping error values if declare_dest: self.emit_line(f"int32_t {dest};") self.emit_line(f"{dest} = CPyLong_AsInt32({src});") if not isinstance(error, AssignHandler): self.emit_unbox_failure_with_overlapping_error_value(dest, typ, failure) elif is_int16_rprimitive(typ): # Whether we are borrowing or not makes no difference. assert not optional # Not supported for overlapping error values if declare_dest: self.emit_line(f"int16_t {dest};") self.emit_line(f"{dest} = CPyLong_AsInt16({src});") if not isinstance(error, AssignHandler): self.emit_unbox_failure_with_overlapping_error_value(dest, typ, failure) elif is_uint8_rprimitive(typ): # Whether we are borrowing or not makes no difference. assert not optional # Not supported for overlapping error values if declare_dest: self.emit_line(f"uint8_t {dest};") self.emit_line(f"{dest} = CPyLong_AsUInt8({src});") if not isinstance(error, AssignHandler): self.emit_unbox_failure_with_overlapping_error_value(dest, typ, failure) elif is_float_rprimitive(typ): assert not optional # Not supported for overlapping error values if declare_dest: self.emit_line(f"double {dest};") # TODO: Don't use __float__ and __index__ self.emit_line(f"{dest} = PyFloat_AsDouble({src});") self.emit_lines(f"if ({dest} == -1.0 && PyErr_Occurred()) {{", failure, "}") elif isinstance(typ, RTuple): self.declare_tuple_struct(typ) if declare_dest: self.emit_line(f"{self.ctype(typ)} {dest};") # HACK: The error handling for unboxing tuples is busted # and instead of fixing it I am just wrapping it in the # cast code which I think is right. This is not good. if optional: self.emit_line(f"if ({src} == NULL) {{") self.emit_line(f"{dest} = {self.c_error_value(typ)};") self.emit_line("} else {") cast_temp = self.temp_name() self.emit_tuple_cast( src, cast_temp, typ, declare_dest=True, error=error, src_type=None ) self.emit_line(f"if (unlikely({cast_temp} == NULL)) {{") # self.emit_arg_check(src, dest, typ, # '(!PyTuple_Check({}) || PyTuple_Size({}) != {}) {{'.format( # src, src, len(typ.types)), optional) self.emit_line(failure) # TODO: Decrease refcount? self.emit_line("} else {") if not typ.types: self.emit_line(f"{dest}.empty_struct_error_flag = 0;") for i, item_type in enumerate(typ.types): temp = self.temp_name() # emit_tuple_cast above checks the size, so this should not fail self.emit_line(f"PyObject *{temp} = PyTuple_GET_ITEM({src}, {i});") temp2 = self.temp_name() # Unbox or check the item. if item_type.is_unboxed: self.emit_unbox( temp, temp2, item_type, raise_exception=raise_exception, error=error, declare_dest=True, borrow=borrow, ) else: if not borrow: self.emit_inc_ref(temp, object_rprimitive) self.emit_cast(temp, temp2, item_type, declare_dest=True) self.emit_line(f"{dest}.f{i} = {temp2};") self.emit_line("}") if optional: self.emit_line("}") else: assert False, "Unboxing not implemented: %s" % typ def emit_box( self, src: str, dest: str, typ: RType, declare_dest: bool = False, can_borrow: bool = False ) -> None: """Emit code for boxing a value of given type. Generate a simple assignment if no boxing is needed. The source reference count is stolen for the result (no need to decref afterwards). """ # TODO: Always generate a new reference (if a reference type) if declare_dest: declaration = "PyObject *" else: declaration = "" if is_int_rprimitive(typ) or is_short_int_rprimitive(typ): # Steal the existing reference if it exists. self.emit_line(f"{declaration}{dest} = CPyTagged_StealAsObject({src});") elif is_bool_or_bit_rprimitive(typ): # N.B: bool is special cased to produce a borrowed value # after boxing, so we don't need to increment the refcount # when this comes directly from a Box op. self.emit_lines(f"{declaration}{dest} = {src} ? Py_True : Py_False;") if not can_borrow: self.emit_inc_ref(dest, object_rprimitive) elif is_none_rprimitive(typ): # N.B: None is special cased to produce a borrowed value # after boxing, so we don't need to increment the refcount # when this comes directly from a Box op. self.emit_lines(f"{declaration}{dest} = Py_None;") if not can_borrow: self.emit_inc_ref(dest, object_rprimitive) elif is_int32_rprimitive(typ) or is_int16_rprimitive(typ) or is_uint8_rprimitive(typ): self.emit_line(f"{declaration}{dest} = PyLong_FromLong({src});") elif is_int64_rprimitive(typ): self.emit_line(f"{declaration}{dest} = PyLong_FromLongLong({src});") elif is_float_rprimitive(typ): self.emit_line(f"{declaration}{dest} = PyFloat_FromDouble({src});") elif isinstance(typ, RTuple): self.declare_tuple_struct(typ) if not typ.types: self.emit_line(f"{declaration}{dest} = CPyTuple_LoadEmptyTupleConstant();") else: self.emit_line(f"{declaration}{dest} = PyTuple_New({len(typ.types)});") self.emit_line(f"if (unlikely({dest} == NULL))") self.emit_line(" CPyError_OutOfMemory();") # TODO: Fail if dest is None for i in range(len(typ.types)): if not typ.is_unboxed: self.emit_line(f"PyTuple_SET_ITEM({dest}, {i}, {src}.f{i}") else: inner_name = self.temp_name() self.emit_box(f"{src}.f{i}", inner_name, typ.types[i], declare_dest=True) self.emit_line(f"PyTuple_SET_ITEM({dest}, {i}, {inner_name});") else: assert not typ.is_unboxed # Type is boxed -- trivially just assign. self.emit_line(f"{declaration}{dest} = {src};") def emit_error_check(self, value: str, rtype: RType, failure: str) -> None: """Emit code for checking a native function return value for uncaught exception.""" if isinstance(rtype, RTuple): if len(rtype.types) == 0: return # empty tuples can't fail. else: cond = self.tuple_undefined_check_cond(rtype, value, self.c_error_value, "==") self.emit_line(f"if ({cond}) {{") elif rtype.error_overlap: # The error value is also valid as a normal value, so we need to also check # for a raised exception. self.emit_line(f"if ({value} == {self.c_error_value(rtype)} && PyErr_Occurred()) {{") else: self.emit_line(f"if ({value} == {self.c_error_value(rtype)}) {{") self.emit_lines(failure, "}") def emit_gc_visit(self, target: str, rtype: RType) -> None: """Emit code for GC visiting a C variable reference. Assume that 'target' represents a C expression that refers to a struct member, such as 'self->x'. """ if not rtype.is_refcounted: # Not refcounted -> no pointers -> no GC interaction. return elif isinstance(rtype, RPrimitive) and rtype.name == "builtins.int": self.emit_line(f"if (CPyTagged_CheckLong({target})) {{") self.emit_line(f"Py_VISIT(CPyTagged_LongAsObject({target}));") self.emit_line("}") elif isinstance(rtype, RTuple): for i, item_type in enumerate(rtype.types): self.emit_gc_visit(f"{target}.f{i}", item_type) elif self.ctype(rtype) == "PyObject *": # The simplest case. self.emit_line(f"Py_VISIT({target});") else: assert False, "emit_gc_visit() not implemented for %s" % repr(rtype) def emit_gc_clear(self, target: str, rtype: RType) -> None: """Emit code for clearing a C attribute reference for GC. Assume that 'target' represents a C expression that refers to a struct member, such as 'self->x'. """ if not rtype.is_refcounted: # Not refcounted -> no pointers -> no GC interaction. return elif isinstance(rtype, RPrimitive) and rtype.name == "builtins.int": self.emit_line(f"if (CPyTagged_CheckLong({target})) {{") self.emit_line(f"CPyTagged __tmp = {target};") self.emit_line(f"{target} = {self.c_undefined_value(rtype)};") self.emit_line("Py_XDECREF(CPyTagged_LongAsObject(__tmp));") self.emit_line("}") elif isinstance(rtype, RTuple): for i, item_type in enumerate(rtype.types): self.emit_gc_clear(f"{target}.f{i}", item_type) elif self.ctype(rtype) == "PyObject *" and self.c_undefined_value(rtype) == "NULL": # The simplest case. self.emit_line(f"Py_CLEAR({target});") else: assert False, "emit_gc_clear() not implemented for %s" % repr(rtype) def emit_reuse_clear(self, target: str, rtype: RType) -> None: """Emit attribute clear before object is added into freelist. Assume that 'target' represents a C expression that refers to a struct member, such as 'self->x'. Unlike emit_gc_clear(), initialize attribute value to match a freshly allocated object. """ if isinstance(rtype, RTuple): for i, item_type in enumerate(rtype.types): self.emit_reuse_clear(f"{target}.f{i}", item_type) elif not rtype.is_refcounted: self.emit_line(f"{target} = {rtype.c_undefined};") elif isinstance(rtype, RPrimitive) and rtype.name == "builtins.int": self.emit_line(f"if (CPyTagged_CheckLong({target})) {{") self.emit_line(f"CPyTagged __tmp = {target};") self.emit_line(f"{target} = {self.c_undefined_value(rtype)};") self.emit_line("Py_XDECREF(CPyTagged_LongAsObject(__tmp));") self.emit_line("} else {") self.emit_line(f"{target} = {self.c_undefined_value(rtype)};") self.emit_line("}") else: self.emit_gc_clear(target, rtype) def emit_traceback( self, source_path: str, module_name: str, traceback_entry: tuple[str, int] ) -> None: return self._emit_traceback("CPy_AddTraceback", source_path, module_name, traceback_entry) def emit_type_error_traceback( self, source_path: str, module_name: str, traceback_entry: tuple[str, int], *, typ: RType, src: str, ) -> None: func = "CPy_TypeErrorTraceback" type_str = f'"{self.pretty_name(typ)}"' return self._emit_traceback( func, source_path, module_name, traceback_entry, type_str=type_str, src=src ) def _emit_traceback( self, func: str, source_path: str, module_name: str, traceback_entry: tuple[str, int], type_str: str = "", src: str = "", ) -> None: globals_static = self.static_name("globals", module_name) line = '%s("%s", "%s", %d, %s' % ( func, source_path.replace("\\", "\\\\"), traceback_entry[0], traceback_entry[1], globals_static, ) if type_str: assert src line += f", {type_str}, {src}" line += ");" self.emit_line(line) if DEBUG_ERRORS: self.emit_line('assert(PyErr_Occurred() != NULL && "failure w/o err!");') def emit_unbox_failure_with_overlapping_error_value( self, dest: str, typ: RType, failure: str ) -> None: self.emit_line(f"if ({dest} == {self.c_error_value(typ)} && PyErr_Occurred()) {{") self.emit_line(failure) self.emit_line("}") def c_array_initializer(components: list[str], *, indented: bool = False) -> str: """Construct an initializer for a C array variable. Components are C expressions valid in an initializer. For example, if components are ["1", "2"], the result would be "{1, 2}", which can be used like this: int a[] = {1, 2}; If the result is long, split it into multiple lines. """ indent = " " * 4 if indented else "" res = [] current: list[str] = [] cur_len = 0 for c in components: if not current or cur_len + 2 + len(indent) + len(c) < 70: current.append(c) cur_len += len(c) + 2 else: res.append(indent + ", ".join(current)) current = [c] cur_len = len(c) if not res: # Result fits on a single line return "{%s}" % ", ".join(current) # Multi-line result res.append(indent + ", ".join(current)) return "{\n " + ",\n ".join(res) + "\n" + indent + "}" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/codegen/emitclass.py0000644000175100017510000014030415112307767017364 0ustar00runnerrunner"""Code generation for native classes and related wrappers.""" from __future__ import annotations from collections.abc import Mapping from typing import Callable from mypy.nodes import ARG_STAR, ARG_STAR2 from mypyc.codegen.cstring import c_string_initializer from mypyc.codegen.emit import Emitter, HeaderDeclaration, ReturnHandler from mypyc.codegen.emitfunc import native_function_doc_initializer, native_function_header from mypyc.codegen.emitwrapper import ( generate_bin_op_wrapper, generate_bool_wrapper, generate_contains_wrapper, generate_dunder_wrapper, generate_get_wrapper, generate_hash_wrapper, generate_ipow_wrapper, generate_len_wrapper, generate_richcompare_wrapper, generate_set_del_item_wrapper, ) from mypyc.common import BITMAP_BITS, BITMAP_TYPE, NATIVE_PREFIX, PREFIX, REG_PREFIX from mypyc.ir.class_ir import ClassIR, VTableEntries from mypyc.ir.func_ir import ( FUNC_CLASSMETHOD, FUNC_STATICMETHOD, FuncDecl, FuncIR, get_text_signature, ) from mypyc.ir.rtypes import RTuple, RType, object_rprimitive from mypyc.namegen import NameGenerator from mypyc.sametype import is_same_type def native_slot(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: return f"{NATIVE_PREFIX}{fn.cname(emitter.names)}" def dunder_attr_slot(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: wrapper_fn = cl.get_method(fn.name + "__wrapper") assert wrapper_fn return f"{NATIVE_PREFIX}{wrapper_fn.cname(emitter.names)}" # We maintain a table from dunder function names to struct slots they # correspond to and functions that generate a wrapper (if necessary) # and return the function name to stick in the slot. # TODO: Add remaining dunder methods SlotGenerator = Callable[[ClassIR, FuncIR, Emitter], str] SlotTable = Mapping[str, tuple[str, SlotGenerator]] SLOT_DEFS: SlotTable = { "__init__": ("tp_init", lambda c, t, e: generate_init_for_class(c, t, e)), "__call__": ("tp_call", lambda c, t, e: generate_call_wrapper(c, t, e)), "__str__": ("tp_str", native_slot), "__repr__": ("tp_repr", native_slot), "__next__": ("tp_iternext", native_slot), "__iter__": ("tp_iter", native_slot), "__hash__": ("tp_hash", generate_hash_wrapper), "__get__": ("tp_descr_get", generate_get_wrapper), "__getattr__": ("tp_getattro", dunder_attr_slot), "__setattr__": ("tp_setattro", dunder_attr_slot), } AS_MAPPING_SLOT_DEFS: SlotTable = { "__getitem__": ("mp_subscript", generate_dunder_wrapper), "__setitem__": ("mp_ass_subscript", generate_set_del_item_wrapper), "__delitem__": ("mp_ass_subscript", generate_set_del_item_wrapper), "__len__": ("mp_length", generate_len_wrapper), } AS_SEQUENCE_SLOT_DEFS: SlotTable = {"__contains__": ("sq_contains", generate_contains_wrapper)} AS_NUMBER_SLOT_DEFS: SlotTable = { # Unary operations. "__bool__": ("nb_bool", generate_bool_wrapper), "__int__": ("nb_int", generate_dunder_wrapper), "__float__": ("nb_float", generate_dunder_wrapper), "__neg__": ("nb_negative", generate_dunder_wrapper), "__pos__": ("nb_positive", generate_dunder_wrapper), "__abs__": ("nb_absolute", generate_dunder_wrapper), "__invert__": ("nb_invert", generate_dunder_wrapper), # Binary operations. "__add__": ("nb_add", generate_bin_op_wrapper), "__radd__": ("nb_add", generate_bin_op_wrapper), "__sub__": ("nb_subtract", generate_bin_op_wrapper), "__rsub__": ("nb_subtract", generate_bin_op_wrapper), "__mul__": ("nb_multiply", generate_bin_op_wrapper), "__rmul__": ("nb_multiply", generate_bin_op_wrapper), "__mod__": ("nb_remainder", generate_bin_op_wrapper), "__rmod__": ("nb_remainder", generate_bin_op_wrapper), "__truediv__": ("nb_true_divide", generate_bin_op_wrapper), "__rtruediv__": ("nb_true_divide", generate_bin_op_wrapper), "__floordiv__": ("nb_floor_divide", generate_bin_op_wrapper), "__rfloordiv__": ("nb_floor_divide", generate_bin_op_wrapper), "__divmod__": ("nb_divmod", generate_bin_op_wrapper), "__rdivmod__": ("nb_divmod", generate_bin_op_wrapper), "__lshift__": ("nb_lshift", generate_bin_op_wrapper), "__rlshift__": ("nb_lshift", generate_bin_op_wrapper), "__rshift__": ("nb_rshift", generate_bin_op_wrapper), "__rrshift__": ("nb_rshift", generate_bin_op_wrapper), "__and__": ("nb_and", generate_bin_op_wrapper), "__rand__": ("nb_and", generate_bin_op_wrapper), "__or__": ("nb_or", generate_bin_op_wrapper), "__ror__": ("nb_or", generate_bin_op_wrapper), "__xor__": ("nb_xor", generate_bin_op_wrapper), "__rxor__": ("nb_xor", generate_bin_op_wrapper), "__matmul__": ("nb_matrix_multiply", generate_bin_op_wrapper), "__rmatmul__": ("nb_matrix_multiply", generate_bin_op_wrapper), # In-place binary operations. "__iadd__": ("nb_inplace_add", generate_dunder_wrapper), "__isub__": ("nb_inplace_subtract", generate_dunder_wrapper), "__imul__": ("nb_inplace_multiply", generate_dunder_wrapper), "__imod__": ("nb_inplace_remainder", generate_dunder_wrapper), "__itruediv__": ("nb_inplace_true_divide", generate_dunder_wrapper), "__ifloordiv__": ("nb_inplace_floor_divide", generate_dunder_wrapper), "__ilshift__": ("nb_inplace_lshift", generate_dunder_wrapper), "__irshift__": ("nb_inplace_rshift", generate_dunder_wrapper), "__iand__": ("nb_inplace_and", generate_dunder_wrapper), "__ior__": ("nb_inplace_or", generate_dunder_wrapper), "__ixor__": ("nb_inplace_xor", generate_dunder_wrapper), "__imatmul__": ("nb_inplace_matrix_multiply", generate_dunder_wrapper), # Ternary operations. (yes, really) # These are special cased in generate_bin_op_wrapper(). "__pow__": ("nb_power", generate_bin_op_wrapper), "__rpow__": ("nb_power", generate_bin_op_wrapper), "__ipow__": ("nb_inplace_power", generate_ipow_wrapper), } AS_ASYNC_SLOT_DEFS: SlotTable = { "__await__": ("am_await", native_slot), "__aiter__": ("am_aiter", native_slot), "__anext__": ("am_anext", native_slot), } SIDE_TABLES = [ ("as_mapping", "PyMappingMethods", AS_MAPPING_SLOT_DEFS), ("as_sequence", "PySequenceMethods", AS_SEQUENCE_SLOT_DEFS), ("as_number", "PyNumberMethods", AS_NUMBER_SLOT_DEFS), ("as_async", "PyAsyncMethods", AS_ASYNC_SLOT_DEFS), ] # Slots that need to always be filled in because they don't get # inherited right. ALWAYS_FILL = {"__hash__"} def generate_call_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: return "PyVectorcall_Call" def slot_key(attr: str) -> str: """Map dunder method name to sort key. Sort reverse operator methods and __delitem__ after others ('x' > '_'). """ if (attr.startswith("__r") and attr != "__rshift__") or attr == "__delitem__": return "x" + attr return attr def generate_slots(cl: ClassIR, table: SlotTable, emitter: Emitter) -> dict[str, str]: fields: dict[str, str] = {} generated: dict[str, str] = {} # Sort for determinism on Python 3.5 for name, (slot, generator) in sorted(table.items(), key=lambda x: slot_key(x[0])): method_cls = cl.get_method_and_class(name) if method_cls and (method_cls[1] == cl or name in ALWAYS_FILL): if slot in generated: # Reuse previously generated wrapper. fields[slot] = generated[slot] else: # Generate new wrapper. name = generator(cl, method_cls[0], emitter) fields[slot] = name generated[slot] = name return fields def generate_class_type_decl( cl: ClassIR, c_emitter: Emitter, external_emitter: Emitter, emitter: Emitter ) -> None: context = c_emitter.context name = emitter.type_struct_name(cl) context.declarations[name] = HeaderDeclaration( f"PyTypeObject *{emitter.type_struct_name(cl)};", needs_export=True ) # If this is a non-extension class, all we want is the type object decl. if not cl.is_ext_class: return generate_object_struct(cl, external_emitter) generate_full = not cl.is_trait and not cl.builtin_base if generate_full: context.declarations[emitter.native_function_name(cl.ctor)] = HeaderDeclaration( f"{native_function_header(cl.ctor, emitter)};", needs_export=True ) def generate_class_reuse( cl: ClassIR, c_emitter: Emitter, external_emitter: Emitter, emitter: Emitter ) -> None: """Generate a definition of a single-object per-class free "list". This speeds up object allocation and freeing when there are many short-lived objects. TODO: Generalize to support a free list with up to N objects. """ assert cl.reuse_freed_instance context = c_emitter.context name = cl.name_prefix(c_emitter.names) + "_free_instance" struct_name = cl.struct_name(c_emitter.names) context.declarations[name] = HeaderDeclaration( f"CPyThreadLocal {struct_name} *{name};", needs_export=True ) def generate_class(cl: ClassIR, module: str, emitter: Emitter) -> None: """Generate C code for a class. This is the main entry point to the module. """ name = cl.name name_prefix = cl.name_prefix(emitter.names) setup_name = emitter.native_function_name(cl.setup) new_name = f"{name_prefix}_new" finalize_name = f"{name_prefix}_finalize" members_name = f"{name_prefix}_members" getseters_name = f"{name_prefix}_getseters" vtable_name = f"{name_prefix}_vtable" traverse_name = f"{name_prefix}_traverse" clear_name = f"{name_prefix}_clear" dealloc_name = f"{name_prefix}_dealloc" methods_name = f"{name_prefix}_methods" vtable_setup_name = f"{name_prefix}_trait_vtable_setup" fields: dict[str, str] = {"tp_name": f'"{name}"'} generate_full = not cl.is_trait and not cl.builtin_base needs_getseters = cl.needs_getseters or not cl.is_generated or cl.has_dict if not cl.builtin_base: fields["tp_new"] = new_name if generate_full: fields["tp_dealloc"] = f"(destructor){name_prefix}_dealloc" fields["tp_traverse"] = f"(traverseproc){name_prefix}_traverse" fields["tp_clear"] = f"(inquiry){name_prefix}_clear" # Populate .tp_finalize and generate a finalize method only if __del__ is defined for this class. del_method = next((e.method for e in cl.vtable_entries if e.name == "__del__"), None) if del_method: fields["tp_finalize"] = f"(destructor){finalize_name}" if needs_getseters: fields["tp_getset"] = getseters_name fields["tp_methods"] = methods_name def emit_line() -> None: emitter.emit_line() emit_line() # If the class has a method to initialize default attribute # values, we need to call it during initialization. defaults_fn = cl.get_method("__mypyc_defaults_setup") # If there is a __init__ method, we'll use it in the native constructor. init_fn = cl.get_method("__init__") # Fill out slots in the type object from dunder methods. fields.update(generate_slots(cl, SLOT_DEFS, emitter)) # Fill out dunder methods that live in tables hanging off the side. for table_name, type, slot_defs in SIDE_TABLES: slots = generate_slots(cl, slot_defs, emitter) if slots: table_struct_name = generate_side_table_for_class(cl, table_name, type, slots, emitter) fields[f"tp_{table_name}"] = f"&{table_struct_name}" richcompare_name = generate_richcompare_wrapper(cl, emitter) if richcompare_name: fields["tp_richcompare"] = richcompare_name # If the class inherits from python, make space for a __dict__ struct_name = cl.struct_name(emitter.names) if cl.builtin_base: base_size = f"sizeof({cl.builtin_base})" elif cl.is_trait: base_size = "sizeof(PyObject)" else: base_size = f"sizeof({struct_name})" # Since our types aren't allocated using type() we need to # populate these fields ourselves if we want them to have correct # values. PyType_Ready will inherit the offsets from tp_base but # that isn't what we want. # XXX: there is no reason for the __weakref__ stuff to be mixed up with __dict__ if cl.has_dict and not has_managed_dict(cl, emitter): # __dict__ lives right after the struct and __weakref__ lives right after that # TODO: They should get members in the struct instead of doing this nonsense. weak_offset = f"{base_size} + sizeof(PyObject *)" emitter.emit_lines( f"PyMemberDef {members_name}[] = {{", f'{{"__dict__", T_OBJECT_EX, {base_size}, 0, NULL}},', f'{{"__weakref__", T_OBJECT_EX, {weak_offset}, 0, NULL}},', "{0}", "};", ) fields["tp_members"] = members_name fields["tp_basicsize"] = f"{base_size} + 2*sizeof(PyObject *)" if emitter.capi_version < (3, 12): fields["tp_dictoffset"] = base_size fields["tp_weaklistoffset"] = weak_offset else: fields["tp_basicsize"] = base_size if generate_full: assert cl.setup is not None emitter.emit_line(native_function_header(cl.setup, emitter) + ";") assert cl.ctor is not None emitter.emit_line(native_function_header(cl.ctor, emitter) + ";") emit_line() init_fn = cl.get_method("__init__") generate_new_for_class(cl, new_name, vtable_name, setup_name, init_fn, emitter) emit_line() generate_traverse_for_class(cl, traverse_name, emitter) emit_line() generate_clear_for_class(cl, clear_name, emitter) emit_line() generate_dealloc_for_class(cl, dealloc_name, clear_name, bool(del_method), emitter) emit_line() if cl.allow_interpreted_subclasses: shadow_vtable_name: str | None = generate_vtables( cl, vtable_setup_name + "_shadow", vtable_name + "_shadow", emitter, shadow=True ) emit_line() else: shadow_vtable_name = None vtable_name = generate_vtables(cl, vtable_setup_name, vtable_name, emitter, shadow=False) emit_line() if del_method: generate_finalize_for_class(del_method, finalize_name, emitter) emit_line() if needs_getseters: generate_getseter_declarations(cl, emitter) emit_line() generate_getseters_table(cl, getseters_name, emitter) emit_line() if cl.is_trait: generate_new_for_trait(cl, new_name, emitter) generate_methods_table(cl, methods_name, setup_name if generate_full else None, emitter) emit_line() flags = ["Py_TPFLAGS_DEFAULT", "Py_TPFLAGS_HEAPTYPE", "Py_TPFLAGS_BASETYPE"] if generate_full: flags.append("Py_TPFLAGS_HAVE_GC") if cl.has_method("__call__"): fields["tp_vectorcall_offset"] = "offsetof({}, vectorcall)".format( cl.struct_name(emitter.names) ) flags.append("_Py_TPFLAGS_HAVE_VECTORCALL") if not fields.get("tp_vectorcall"): # This is just a placeholder to please CPython. It will be # overridden during setup. fields["tp_call"] = "PyVectorcall_Call" if has_managed_dict(cl, emitter): flags.append("Py_TPFLAGS_MANAGED_DICT") fields["tp_flags"] = " | ".join(flags) fields["tp_doc"] = f"PyDoc_STR({native_class_doc_initializer(cl)})" emitter.emit_line(f"static PyTypeObject {emitter.type_struct_name(cl)}_template_ = {{") emitter.emit_line("PyVarObject_HEAD_INIT(NULL, 0)") for field, value in fields.items(): emitter.emit_line(f".{field} = {value},") emitter.emit_line("};") emitter.emit_line( "static PyTypeObject *{t}_template = &{t}_template_;".format( t=emitter.type_struct_name(cl) ) ) emitter.emit_line() if generate_full: generate_setup_for_class(cl, defaults_fn, vtable_name, shadow_vtable_name, emitter) emitter.emit_line() generate_constructor_for_class(cl, cl.ctor, init_fn, setup_name, vtable_name, emitter) emitter.emit_line() if needs_getseters: generate_getseters(cl, emitter) def getter_name(cl: ClassIR, attribute: str, names: NameGenerator) -> str: return names.private_name(cl.module_name, f"{cl.name}_get_{attribute}") def setter_name(cl: ClassIR, attribute: str, names: NameGenerator) -> str: return names.private_name(cl.module_name, f"{cl.name}_set_{attribute}") def generate_object_struct(cl: ClassIR, emitter: Emitter) -> None: seen_attrs: set[str] = set() lines: list[str] = [] lines += ["typedef struct {", "PyObject_HEAD", "CPyVTableItem *vtable;"] if cl.has_method("__call__"): lines.append("vectorcallfunc vectorcall;") bitmap_attrs = [] for base in reversed(cl.base_mro): if not base.is_trait: if base.bitmap_attrs: # Do we need another attribute bitmap field? if emitter.bitmap_field(len(base.bitmap_attrs) - 1) not in bitmap_attrs: for i in range(0, len(base.bitmap_attrs), BITMAP_BITS): attr = emitter.bitmap_field(i) if attr not in bitmap_attrs: lines.append(f"{BITMAP_TYPE} {attr};") bitmap_attrs.append(attr) for attr, rtype in base.attributes.items(): # Generated class may redefine certain attributes with different # types in subclasses (this would be unsafe for user-defined classes). if attr not in seen_attrs: lines.append(f"{emitter.ctype_spaced(rtype)}{emitter.attr(attr)};") seen_attrs.add(attr) if isinstance(rtype, RTuple): emitter.declare_tuple_struct(rtype) lines.append(f"}} {cl.struct_name(emitter.names)};") lines.append("") emitter.context.declarations[cl.struct_name(emitter.names)] = HeaderDeclaration( lines, is_type=True ) def generate_vtables( base: ClassIR, vtable_setup_name: str, vtable_name: str, emitter: Emitter, shadow: bool ) -> str: """Emit the vtables and vtable setup functions for a class. This includes both the primary vtable and any trait implementation vtables. The trait vtables go before the main vtable, and have the following layout: { CPyType_T1, // pointer to type object C_T1_trait_vtable, // pointer to array of method pointers C_T1_offset_table, // pointer to array of attribute offsets CPyType_T2, C_T2_trait_vtable, C_T2_offset_table, ... } The method implementations are calculated at the end of IR pass, attribute offsets are {offsetof(native__C, _x1), offsetof(native__C, _y1), ...}. To account for both dynamic loading and dynamic class creation, vtables are populated dynamically at class creation time, so we emit empty array definitions to store the vtables and a function to populate them. If shadow is True, generate "shadow vtables" that point to the shadow glue methods (which should dispatch via the Python C-API). Returns the expression to use to refer to the vtable, which might be different than the name, if there are trait vtables. """ def trait_vtable_name(trait: ClassIR) -> str: return "{}_{}_trait_vtable{}".format( base.name_prefix(emitter.names), trait.name_prefix(emitter.names), "_shadow" if shadow else "", ) def trait_offset_table_name(trait: ClassIR) -> str: return "{}_{}_offset_table".format( base.name_prefix(emitter.names), trait.name_prefix(emitter.names) ) # Emit array definitions with enough space for all the entries emitter.emit_line( "static CPyVTableItem {}[{}];".format( vtable_name, max(1, len(base.vtable_entries) + 3 * len(base.trait_vtables)) ) ) for trait, vtable in base.trait_vtables.items(): # Trait methods entry (vtable index -> method implementation). emitter.emit_line( f"static CPyVTableItem {trait_vtable_name(trait)}[{max(1, len(vtable))}];" ) # Trait attributes entry (attribute number in trait -> offset in actual struct). emitter.emit_line( "static size_t {}[{}];".format( trait_offset_table_name(trait), max(1, len(trait.attributes)) ) ) # Emit vtable setup function emitter.emit_line("static bool") emitter.emit_line(f"{NATIVE_PREFIX}{vtable_setup_name}(void)") emitter.emit_line("{") if base.allow_interpreted_subclasses and not shadow: emitter.emit_line(f"{NATIVE_PREFIX}{vtable_setup_name}_shadow();") subtables = [] for trait, vtable in base.trait_vtables.items(): name = trait_vtable_name(trait) offset_name = trait_offset_table_name(trait) generate_vtable(vtable, name, emitter, [], shadow) generate_offset_table(offset_name, emitter, trait, base) subtables.append((trait, name, offset_name)) generate_vtable(base.vtable_entries, vtable_name, emitter, subtables, shadow) emitter.emit_line("return 1;") emitter.emit_line("}") return vtable_name if not subtables else f"{vtable_name} + {len(subtables) * 3}" def generate_offset_table( trait_offset_table_name: str, emitter: Emitter, trait: ClassIR, cl: ClassIR ) -> None: """Generate attribute offset row of a trait vtable.""" emitter.emit_line(f"size_t {trait_offset_table_name}_scratch[] = {{") for attr in trait.attributes: emitter.emit_line(f"offsetof({cl.struct_name(emitter.names)}, {emitter.attr(attr)}),") if not trait.attributes: # This is for msvc. emitter.emit_line("0") emitter.emit_line("};") emitter.emit_line( "memcpy({name}, {name}_scratch, sizeof({name}));".format(name=trait_offset_table_name) ) def generate_vtable( entries: VTableEntries, vtable_name: str, emitter: Emitter, subtables: list[tuple[ClassIR, str, str]], shadow: bool, ) -> None: emitter.emit_line(f"CPyVTableItem {vtable_name}_scratch[] = {{") if subtables: emitter.emit_line("/* Array of trait vtables */") for trait, table, offset_table in subtables: emitter.emit_line( "(CPyVTableItem){}, (CPyVTableItem){}, (CPyVTableItem){},".format( emitter.type_struct_name(trait), table, offset_table ) ) emitter.emit_line("/* Start of real vtable */") for entry in entries: method = entry.shadow_method if shadow and entry.shadow_method else entry.method emitter.emit_line( "(CPyVTableItem){}{}{},".format( emitter.get_group_prefix(entry.method.decl), NATIVE_PREFIX, method.cname(emitter.names), ) ) # msvc doesn't allow empty arrays; maybe allowing them at all is an extension? if not entries: emitter.emit_line("NULL") emitter.emit_line("};") emitter.emit_line("memcpy({name}, {name}_scratch, sizeof({name}));".format(name=vtable_name)) def generate_setup_for_class( cl: ClassIR, defaults_fn: FuncIR | None, vtable_name: str, shadow_vtable_name: str | None, emitter: Emitter, ) -> None: """Generate a native function that allocates an instance of a class.""" emitter.emit_line(native_function_header(cl.setup, emitter)) emitter.emit_line("{") type_arg_name = REG_PREFIX + cl.setup.sig.args[0].name emitter.emit_line(f"PyTypeObject *type = (PyTypeObject*){type_arg_name};") struct_name = cl.struct_name(emitter.names) emitter.emit_line(f"{struct_name} *self;") prefix = cl.name_prefix(emitter.names) if cl.reuse_freed_instance: # Attempt to use a per-type free list first (a free "list" with up to one object only). emitter.emit_line(f"if ({prefix}_free_instance != NULL) {{") emitter.emit_line(f"self = {prefix}_free_instance;") emitter.emit_line(f"{prefix}_free_instance = NULL;") emitter.emit_line("Py_SET_REFCNT(self, 1);") emitter.emit_line("PyObject_GC_Track(self);") if defaults_fn is not None: emit_attr_defaults_func_call(defaults_fn, "self", emitter) emitter.emit_line("return (PyObject *)self;") emitter.emit_line("}") emitter.emit_line(f"self = ({cl.struct_name(emitter.names)} *)type->tp_alloc(type, 0);") emitter.emit_line("if (self == NULL)") emitter.emit_line(" return NULL;") if shadow_vtable_name: emitter.emit_line(f"if (type != {emitter.type_struct_name(cl)}) {{") emitter.emit_line(f"self->vtable = {shadow_vtable_name};") emitter.emit_line("} else {") emitter.emit_line(f"self->vtable = {vtable_name};") emitter.emit_line("}") else: emitter.emit_line(f"self->vtable = {vtable_name};") emit_clear_bitmaps(cl, emitter) if cl.has_method("__call__"): name = cl.method_decl("__call__").cname(emitter.names) emitter.emit_line(f"self->vectorcall = {PREFIX}{name};") for base in reversed(cl.base_mro): for attr, rtype in base.attributes.items(): value = emitter.c_undefined_value(rtype) # We don't need to set this field to NULL since tp_alloc() already # zero-initializes `self`. if value != "NULL": emitter.emit_line(rf"self->{emitter.attr(attr)} = {value};") # Initialize attributes to default values, if necessary if defaults_fn is not None: emit_attr_defaults_func_call(defaults_fn, "self", emitter) emitter.emit_line("return (PyObject *)self;") emitter.emit_line("}") def emit_clear_bitmaps(cl: ClassIR, emitter: Emitter) -> None: """Emit C code to clear bitmaps that track if attributes have an assigned value.""" for i in range(0, len(cl.bitmap_attrs), BITMAP_BITS): field = emitter.bitmap_field(i) emitter.emit_line(f"self->{field} = 0;") def emit_attr_defaults_func_call(defaults_fn: FuncIR, self_name: str, emitter: Emitter) -> None: """Emit C code to initialize attribute defaults by calling defaults_fn. The code returns NULL on a raised exception. """ emitter.emit_lines( "if ({}{}((PyObject *){}) == 0) {{".format( NATIVE_PREFIX, defaults_fn.cname(emitter.names), self_name ), "Py_DECREF(self);", "return NULL;", "}", ) def emit_setup_or_dunder_new_call( cl: ClassIR, setup_name: str, type_arg: str, native_prefix: bool, new_args: str, emitter: Emitter, ) -> None: def emit_null_check() -> None: emitter.emit_line("if (self == NULL)") emitter.emit_line(" return NULL;") new_fn = cl.get_method("__new__") if not new_fn: emitter.emit_line(f"PyObject *self = {setup_name}({type_arg});") emit_null_check() return prefix = emitter.get_group_prefix(new_fn.decl) + NATIVE_PREFIX if native_prefix else PREFIX all_args = type_arg if new_args != "": all_args += ", " + new_args emitter.emit_line(f"PyObject *self = {prefix}{new_fn.cname(emitter.names)}({all_args});") emit_null_check() # skip __init__ if __new__ returns some other type emitter.emit_line(f"if (Py_TYPE(self) != {emitter.type_struct_name(cl)})") emitter.emit_line(" return self;") def generate_constructor_for_class( cl: ClassIR, fn: FuncDecl, init_fn: FuncIR | None, setup_name: str, vtable_name: str, emitter: Emitter, ) -> None: """Generate a native function that allocates and initializes an instance of a class.""" emitter.emit_line(f"{native_function_header(fn, emitter)}") emitter.emit_line("{") fn_args = [REG_PREFIX + arg.name for arg in fn.sig.args] type_arg = "(PyObject *)" + emitter.type_struct_name(cl) new_args = ", ".join(fn_args) use_wrapper = ( cl.has_method("__new__") and len(fn.sig.args) == 2 and fn.sig.args[0].kind == ARG_STAR and fn.sig.args[1].kind == ARG_STAR2 ) emit_setup_or_dunder_new_call(cl, setup_name, type_arg, not use_wrapper, new_args, emitter) args = ", ".join(["self"] + fn_args) if init_fn is not None: prefix = PREFIX if use_wrapper else NATIVE_PREFIX cast = "!= NULL ? 0 : -1" if use_wrapper else "" emitter.emit_line( "char res = {}{}{}({}){};".format( emitter.get_group_prefix(init_fn.decl), prefix, init_fn.cname(emitter.names), args, cast, ) ) emitter.emit_line("if (res == 2) {") emitter.emit_line("Py_DECREF(self);") emitter.emit_line("return NULL;") emitter.emit_line("}") # If there is a nontrivial ctor that we didn't define, invoke it via tp_init elif len(fn.sig.args) > 1: emitter.emit_line(f"int res = {emitter.type_struct_name(cl)}->tp_init({args});") emitter.emit_line("if (res < 0) {") emitter.emit_line("Py_DECREF(self);") emitter.emit_line("return NULL;") emitter.emit_line("}") emitter.emit_line("return self;") emitter.emit_line("}") def generate_init_for_class(cl: ClassIR, init_fn: FuncIR, emitter: Emitter) -> str: """Generate an init function suitable for use as tp_init. tp_init needs to be a function that returns an int, and our __init__ methods return a PyObject. Translate NULL to -1, everything else to 0. """ func_name = f"{cl.name_prefix(emitter.names)}_init" emitter.emit_line("static int") emitter.emit_line(f"{func_name}(PyObject *self, PyObject *args, PyObject *kwds)") emitter.emit_line("{") if cl.allow_interpreted_subclasses or cl.builtin_base or cl.has_method("__new__"): emitter.emit_line( "return {}{}(self, args, kwds) != NULL ? 0 : -1;".format( PREFIX, init_fn.cname(emitter.names) ) ) else: emitter.emit_line("return 0;") emitter.emit_line("}") return func_name def generate_new_for_class( cl: ClassIR, func_name: str, vtable_name: str, setup_name: str, init_fn: FuncIR | None, emitter: Emitter, ) -> None: emitter.emit_line("static PyObject *") emitter.emit_line(f"{func_name}(PyTypeObject *type, PyObject *args, PyObject *kwds)") emitter.emit_line("{") # TODO: Check and unbox arguments if not cl.allow_interpreted_subclasses: emitter.emit_line(f"if (type != {emitter.type_struct_name(cl)}) {{") emitter.emit_line( 'PyErr_SetString(PyExc_TypeError, "interpreted classes cannot inherit from compiled");' ) emitter.emit_line("return NULL;") emitter.emit_line("}") type_arg = "(PyObject*)type" new_args = "args, kwds" emit_setup_or_dunder_new_call(cl, setup_name, type_arg, False, new_args, emitter) if ( not init_fn or cl.allow_interpreted_subclasses or cl.builtin_base or cl.is_serializable() or cl.has_method("__new__") ): # Match Python semantics -- __new__ doesn't call __init__. emitter.emit_line("return self;") else: # __new__ of a native class implicitly calls __init__ so that we # can enforce that instances are always properly initialized. This # is needed to support always defined attributes. emitter.emit_line( f"PyObject *ret = {PREFIX}{init_fn.cname(emitter.names)}(self, args, kwds);" ) emitter.emit_lines("if (ret == NULL)", " return NULL;") emitter.emit_line("return self;") emitter.emit_line("}") def generate_new_for_trait(cl: ClassIR, func_name: str, emitter: Emitter) -> None: emitter.emit_line("static PyObject *") emitter.emit_line(f"{func_name}(PyTypeObject *type, PyObject *args, PyObject *kwds)") emitter.emit_line("{") emitter.emit_line(f"if (type != {emitter.type_struct_name(cl)}) {{") emitter.emit_line( "PyErr_SetString(PyExc_TypeError, " '"interpreted classes cannot inherit from compiled traits");' ) emitter.emit_line("} else {") emitter.emit_line('PyErr_SetString(PyExc_TypeError, "traits may not be directly created");') emitter.emit_line("}") emitter.emit_line("return NULL;") emitter.emit_line("}") def generate_traverse_for_class(cl: ClassIR, func_name: str, emitter: Emitter) -> None: """Emit function that performs cycle GC traversal of an instance.""" emitter.emit_line("static int") emitter.emit_line( f"{func_name}({cl.struct_name(emitter.names)} *self, visitproc visit, void *arg)" ) emitter.emit_line("{") for base in reversed(cl.base_mro): for attr, rtype in base.attributes.items(): emitter.emit_gc_visit(f"self->{emitter.attr(attr)}", rtype) if has_managed_dict(cl, emitter): emitter.emit_line("PyObject_VisitManagedDict((PyObject *)self, visit, arg);") elif cl.has_dict: struct_name = cl.struct_name(emitter.names) # __dict__ lives right after the struct and __weakref__ lives right after that emitter.emit_gc_visit( f"*((PyObject **)((char *)self + sizeof({struct_name})))", object_rprimitive ) emitter.emit_gc_visit( f"*((PyObject **)((char *)self + sizeof(PyObject *) + sizeof({struct_name})))", object_rprimitive, ) emitter.emit_line("return 0;") emitter.emit_line("}") def generate_clear_for_class(cl: ClassIR, func_name: str, emitter: Emitter) -> None: emitter.emit_line("static int") emitter.emit_line(f"{func_name}({cl.struct_name(emitter.names)} *self)") emitter.emit_line("{") for base in reversed(cl.base_mro): for attr, rtype in base.attributes.items(): emitter.emit_gc_clear(f"self->{emitter.attr(attr)}", rtype) if has_managed_dict(cl, emitter): emitter.emit_line("PyObject_ClearManagedDict((PyObject *)self);") elif cl.has_dict: struct_name = cl.struct_name(emitter.names) # __dict__ lives right after the struct and __weakref__ lives right after that emitter.emit_gc_clear( f"*((PyObject **)((char *)self + sizeof({struct_name})))", object_rprimitive ) emitter.emit_gc_clear( f"*((PyObject **)((char *)self + sizeof(PyObject *) + sizeof({struct_name})))", object_rprimitive, ) emitter.emit_line("return 0;") emitter.emit_line("}") def generate_dealloc_for_class( cl: ClassIR, dealloc_func_name: str, clear_func_name: str, has_tp_finalize: bool, emitter: Emitter, ) -> None: emitter.emit_line("static void") emitter.emit_line(f"{dealloc_func_name}({cl.struct_name(emitter.names)} *self)") emitter.emit_line("{") if has_tp_finalize: emitter.emit_line("PyObject *type, *value, *traceback;") emitter.emit_line("PyErr_Fetch(&type, &value, &traceback);") emitter.emit_line("int res = PyObject_CallFinalizerFromDealloc((PyObject *)self);") # CPython interpreter uses PyErr_WriteUnraisable: https://docs.python.org/3/c-api/exceptions.html#c.PyErr_WriteUnraisable # However, the message is slightly different due to the way mypyc compiles classes. # CPython interpreter prints: Exception ignored in: # mypyc prints: Exception ignored in: emitter.emit_line("if (PyErr_Occurred() != NULL) {") # Don't untrack instance if error occurred emitter.emit_line("PyErr_WriteUnraisable((PyObject *)self);") emitter.emit_line("res = -1;") emitter.emit_line("}") emitter.emit_line("PyErr_Restore(type, value, traceback);") emitter.emit_line("if (res < 0) {") emitter.emit_line("goto done;") emitter.emit_line("}") emitter.emit_line("PyObject_GC_UnTrack(self);") if cl.reuse_freed_instance: emit_reuse_dealloc(cl, emitter) # The trashcan is needed to handle deep recursive deallocations emitter.emit_line(f"CPy_TRASHCAN_BEGIN(self, {dealloc_func_name})") emitter.emit_line(f"{clear_func_name}(self);") emitter.emit_line("Py_TYPE(self)->tp_free((PyObject *)self);") emitter.emit_line("CPy_TRASHCAN_END(self)") emitter.emit_line("done: ;") emitter.emit_line("}") def emit_reuse_dealloc(cl: ClassIR, emitter: Emitter) -> None: """Emit code to deallocate object by putting it to per-type free list. The free "list" currently can have up to one object. """ prefix = cl.name_prefix(emitter.names) emitter.emit_line(f"if ({prefix}_free_instance == NULL) {{") emitter.emit_line(f"{prefix}_free_instance = self;") # Clear attributes and free referenced objects. emit_clear_bitmaps(cl, emitter) for base in reversed(cl.base_mro): for attr, rtype in base.attributes.items(): emitter.emit_reuse_clear(f"self->{emitter.attr(attr)}", rtype) emitter.emit_line("return;") emitter.emit_line("}") def generate_finalize_for_class( del_method: FuncIR, finalize_func_name: str, emitter: Emitter ) -> None: emitter.emit_line("static void") emitter.emit_line(f"{finalize_func_name}(PyObject *self)") emitter.emit_line("{") emitter.emit_line( "{}{}{}(self);".format( emitter.get_group_prefix(del_method.decl), NATIVE_PREFIX, del_method.cname(emitter.names), ) ) emitter.emit_line("}") def generate_methods_table( cl: ClassIR, name: str, setup_name: str | None, emitter: Emitter ) -> None: emitter.emit_line(f"static PyMethodDef {name}[] = {{") if setup_name: # Store pointer to the setup function so it can be resolved dynamically # in case of instance creation in __new__. # CPy_SetupObject expects this method to be the first one in tp_methods. emitter.emit_line( f'{{"__internal_mypyc_setup", (PyCFunction){setup_name}, METH_O, NULL}},' ) for fn in cl.methods.values(): if fn.decl.is_prop_setter or fn.decl.is_prop_getter or fn.internal: continue emitter.emit_line(f'{{"{fn.name}",') emitter.emit_line(f" (PyCFunction){PREFIX}{fn.cname(emitter.names)},") flags = ["METH_FASTCALL", "METH_KEYWORDS"] if fn.decl.kind == FUNC_STATICMETHOD: flags.append("METH_STATIC") elif fn.decl.kind == FUNC_CLASSMETHOD: flags.append("METH_CLASS") doc = native_function_doc_initializer(fn) emitter.emit_line(" {}, PyDoc_STR({})}},".format(" | ".join(flags), doc)) # Provide a default __getstate__ and __setstate__ if not cl.has_method("__setstate__") and not cl.has_method("__getstate__"): emitter.emit_lines( '{"__setstate__", (PyCFunction)CPyPickle_SetState, METH_O, NULL},', '{"__getstate__", (PyCFunction)CPyPickle_GetState, METH_NOARGS, NULL},', ) emitter.emit_line("{NULL} /* Sentinel */") emitter.emit_line("};") def generate_side_table_for_class( cl: ClassIR, name: str, type: str, slots: dict[str, str], emitter: Emitter ) -> str | None: name = f"{cl.name_prefix(emitter.names)}_{name}" emitter.emit_line(f"static {type} {name} = {{") for field, value in slots.items(): emitter.emit_line(f".{field} = {value},") emitter.emit_line("};") return name def generate_getseter_declarations(cl: ClassIR, emitter: Emitter) -> None: if not cl.is_trait: for attr in cl.attributes: emitter.emit_line("static PyObject *") emitter.emit_line( "{}({} *self, void *closure);".format( getter_name(cl, attr, emitter.names), cl.struct_name(emitter.names) ) ) emitter.emit_line("static int") emitter.emit_line( "{}({} *self, PyObject *value, void *closure);".format( setter_name(cl, attr, emitter.names), cl.struct_name(emitter.names) ) ) for prop, (getter, setter) in cl.properties.items(): if getter.decl.implicit: continue # Generate getter declaration emitter.emit_line("static PyObject *") emitter.emit_line( "{}({} *self, void *closure);".format( getter_name(cl, prop, emitter.names), cl.struct_name(emitter.names) ) ) # Generate property setter declaration if a setter exists if setter: emitter.emit_line("static int") emitter.emit_line( "{}({} *self, PyObject *value, void *closure);".format( setter_name(cl, prop, emitter.names), cl.struct_name(emitter.names) ) ) def generate_getseters_table(cl: ClassIR, name: str, emitter: Emitter) -> None: emitter.emit_line(f"static PyGetSetDef {name}[] = {{") if not cl.is_trait: for attr in cl.attributes: emitter.emit_line(f'{{"{attr}",') emitter.emit_line( " (getter){}, (setter){},".format( getter_name(cl, attr, emitter.names), setter_name(cl, attr, emitter.names) ) ) emitter.emit_line(" NULL, NULL},") for prop, (getter, setter) in cl.properties.items(): if getter.decl.implicit: continue emitter.emit_line(f'{{"{prop}",') emitter.emit_line(f" (getter){getter_name(cl, prop, emitter.names)},") if setter: emitter.emit_line(f" (setter){setter_name(cl, prop, emitter.names)},") emitter.emit_line("NULL, NULL},") else: emitter.emit_line("NULL, NULL, NULL},") if cl.has_dict: emitter.emit_line('{"__dict__", PyObject_GenericGetDict, PyObject_GenericSetDict},') emitter.emit_line("{NULL} /* Sentinel */") emitter.emit_line("};") def generate_getseters(cl: ClassIR, emitter: Emitter) -> None: if not cl.is_trait: for i, (attr, rtype) in enumerate(cl.attributes.items()): generate_getter(cl, attr, rtype, emitter) emitter.emit_line("") generate_setter(cl, attr, rtype, emitter) if i < len(cl.attributes) - 1: emitter.emit_line("") for prop, (getter, setter) in cl.properties.items(): if getter.decl.implicit: continue rtype = getter.sig.ret_type emitter.emit_line("") generate_readonly_getter(cl, prop, rtype, getter, emitter) if setter: arg_type = setter.sig.args[1].type emitter.emit_line("") generate_property_setter(cl, prop, arg_type, setter, emitter) def generate_getter(cl: ClassIR, attr: str, rtype: RType, emitter: Emitter) -> None: attr_field = emitter.attr(attr) emitter.emit_line("static PyObject *") emitter.emit_line( "{}({} *self, void *closure)".format( getter_name(cl, attr, emitter.names), cl.struct_name(emitter.names) ) ) emitter.emit_line("{") attr_expr = f"self->{attr_field}" # HACK: Don't consider refcounted values as always defined, since it's possible to # access uninitialized values via 'gc.get_objects()'. Accessing non-refcounted # values is benign. always_defined = cl.is_always_defined(attr) and not rtype.is_refcounted if not always_defined: emitter.emit_undefined_attr_check(rtype, attr_expr, "==", "self", attr, cl, unlikely=True) emitter.emit_line("PyErr_SetString(PyExc_AttributeError,") emitter.emit_line(f' "attribute {repr(attr)} of {repr(cl.name)} undefined");') emitter.emit_line("return NULL;") emitter.emit_line("}") emitter.emit_inc_ref(f"self->{attr_field}", rtype) emitter.emit_box(f"self->{attr_field}", "retval", rtype, declare_dest=True) emitter.emit_line("return retval;") emitter.emit_line("}") def generate_setter(cl: ClassIR, attr: str, rtype: RType, emitter: Emitter) -> None: attr_field = emitter.attr(attr) emitter.emit_line("static int") emitter.emit_line( "{}({} *self, PyObject *value, void *closure)".format( setter_name(cl, attr, emitter.names), cl.struct_name(emitter.names) ) ) emitter.emit_line("{") deletable = cl.is_deletable(attr) if not deletable: emitter.emit_line("if (value == NULL) {") emitter.emit_line("PyErr_SetString(PyExc_AttributeError,") emitter.emit_line( f' "{repr(cl.name)} object attribute {repr(attr)} cannot be deleted");' ) emitter.emit_line("return -1;") emitter.emit_line("}") # HACK: Don't consider refcounted values as always defined, since it's possible to # access uninitialized values via 'gc.get_objects()'. Accessing non-refcounted # values is benign. always_defined = cl.is_always_defined(attr) and not rtype.is_refcounted if rtype.is_refcounted: attr_expr = f"self->{attr_field}" if not always_defined: emitter.emit_undefined_attr_check(rtype, attr_expr, "!=", "self", attr, cl) emitter.emit_dec_ref(f"self->{attr_field}", rtype) if not always_defined: emitter.emit_line("}") if deletable: emitter.emit_line("if (value != NULL) {") if rtype.is_unboxed: emitter.emit_unbox("value", "tmp", rtype, error=ReturnHandler("-1"), declare_dest=True) elif is_same_type(rtype, object_rprimitive): emitter.emit_line("PyObject *tmp = value;") else: emitter.emit_cast("value", "tmp", rtype, declare_dest=True) emitter.emit_lines("if (!tmp)", " return -1;") emitter.emit_inc_ref("tmp", rtype) emitter.emit_line(f"self->{attr_field} = tmp;") if rtype.error_overlap and not always_defined: emitter.emit_attr_bitmap_set("tmp", "self", rtype, cl, attr) if deletable: emitter.emit_line("} else") emitter.emit_line(f" self->{attr_field} = {emitter.c_undefined_value(rtype)};") if rtype.error_overlap: emitter.emit_attr_bitmap_clear("self", rtype, cl, attr) emitter.emit_line("return 0;") emitter.emit_line("}") def generate_readonly_getter( cl: ClassIR, attr: str, rtype: RType, func_ir: FuncIR, emitter: Emitter ) -> None: emitter.emit_line("static PyObject *") emitter.emit_line( "{}({} *self, void *closure)".format( getter_name(cl, attr, emitter.names), cl.struct_name(emitter.names) ) ) emitter.emit_line("{") if rtype.is_unboxed: emitter.emit_line( "{}retval = {}{}((PyObject *) self);".format( emitter.ctype_spaced(rtype), NATIVE_PREFIX, func_ir.cname(emitter.names) ) ) emitter.emit_error_check("retval", rtype, "return NULL;") emitter.emit_box("retval", "retbox", rtype, declare_dest=True) emitter.emit_line("return retbox;") else: emitter.emit_line( f"return {NATIVE_PREFIX}{func_ir.cname(emitter.names)}((PyObject *) self);" ) emitter.emit_line("}") def generate_property_setter( cl: ClassIR, attr: str, arg_type: RType, func_ir: FuncIR, emitter: Emitter ) -> None: emitter.emit_line("static int") emitter.emit_line( "{}({} *self, PyObject *value, void *closure)".format( setter_name(cl, attr, emitter.names), cl.struct_name(emitter.names) ) ) emitter.emit_line("{") if arg_type.is_unboxed: emitter.emit_unbox("value", "tmp", arg_type, error=ReturnHandler("-1"), declare_dest=True) emitter.emit_line( f"{NATIVE_PREFIX}{func_ir.cname(emitter.names)}((PyObject *) self, tmp);" ) else: emitter.emit_line( f"{NATIVE_PREFIX}{func_ir.cname(emitter.names)}((PyObject *) self, value);" ) emitter.emit_line("return 0;") emitter.emit_line("}") def has_managed_dict(cl: ClassIR, emitter: Emitter) -> bool: """Should the class get the Py_TPFLAGS_MANAGED_DICT flag?""" # On 3.11 and earlier the flag doesn't exist and we use # tp_dictoffset instead. If a class inherits from Exception, the # flag conflicts with tp_dictoffset set in the base class. return ( emitter.capi_version >= (3, 12) and cl.has_dict and cl.builtin_base != "PyBaseExceptionObject" ) def native_class_doc_initializer(cl: ClassIR) -> str: init_fn = cl.get_method("__init__") if init_fn is not None: text_sig = get_text_signature(init_fn, bound=True) if text_sig is None: return "NULL" text_sig = text_sig.replace("__init__", cl.name, 1) else: text_sig = f"{cl.name}()" docstring = f"{text_sig}\n--\n\n" return c_string_initializer(docstring.encode("ascii", errors="backslashreplace")) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/codegen/emitfunc.py0000644000175100017510000011126615112307767017217 0ustar00runnerrunner"""Code generation for native function bodies.""" from __future__ import annotations from typing import Final from mypyc.analysis.blockfreq import frequently_executed_blocks from mypyc.codegen.cstring import c_string_initializer from mypyc.codegen.emit import DEBUG_ERRORS, Emitter, TracebackAndGotoHandler, c_array_initializer from mypyc.common import ( GENERATOR_ATTRIBUTE_PREFIX, HAVE_IMMORTAL, MODULE_PREFIX, NATIVE_PREFIX, REG_PREFIX, STATIC_PREFIX, TYPE_PREFIX, TYPE_VAR_PREFIX, ) from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import ( FUNC_CLASSMETHOD, FUNC_STATICMETHOD, FuncDecl, FuncIR, all_values, get_text_signature, ) from mypyc.ir.ops import ( ERR_FALSE, NAMESPACE_MODULE, NAMESPACE_STATIC, NAMESPACE_TYPE, NAMESPACE_TYPE_VAR, Assign, AssignMulti, BasicBlock, Box, Branch, Call, CallC, Cast, ComparisonOp, ControlOp, CString, DecRef, Extend, Float, FloatComparisonOp, FloatNeg, FloatOp, GetAttr, GetElementPtr, Goto, IncRef, InitStatic, Integer, IntOp, KeepAlive, LoadAddress, LoadErrorValue, LoadGlobal, LoadLiteral, LoadMem, LoadStatic, MethodCall, Op, OpVisitor, PrimitiveOp, RaiseStandardError, Register, Return, SetAttr, SetElement, SetMem, Truncate, TupleGet, TupleSet, Unborrow, Unbox, Undef, Unreachable, Value, ) from mypyc.ir.pprint import generate_names_for_ir from mypyc.ir.rtypes import ( RArray, RInstance, RStruct, RTuple, RType, is_bool_or_bit_rprimitive, is_int32_rprimitive, is_int64_rprimitive, is_int_rprimitive, is_none_rprimitive, is_pointer_rprimitive, is_tagged, ) def native_function_type(fn: FuncIR, emitter: Emitter) -> str: args = ", ".join(emitter.ctype(arg.type) for arg in fn.args) or "void" ret = emitter.ctype(fn.ret_type) return f"{ret} (*)({args})" def native_function_header(fn: FuncDecl, emitter: Emitter) -> str: args = [] for arg in fn.sig.args: args.append(f"{emitter.ctype_spaced(arg.type)}{REG_PREFIX}{arg.name}") return "{ret_type}{name}({args})".format( ret_type=emitter.ctype_spaced(fn.sig.ret_type), name=emitter.native_function_name(fn), args=", ".join(args) or "void", ) def native_function_doc_initializer(func: FuncIR) -> str: text_sig = get_text_signature(func) if text_sig is None: return "NULL" docstring = f"{text_sig}\n--\n\n" return c_string_initializer(docstring.encode("ascii", errors="backslashreplace")) def generate_native_function( fn: FuncIR, emitter: Emitter, source_path: str, module_name: str ) -> None: declarations = Emitter(emitter.context) names = generate_names_for_ir(fn.arg_regs, fn.blocks) body = Emitter(emitter.context, names) visitor = FunctionEmitterVisitor(body, declarations, source_path, module_name) declarations.emit_line(f"{native_function_header(fn.decl, emitter)} {{") body.indent() for r in all_values(fn.arg_regs, fn.blocks): if isinstance(r.type, RTuple): emitter.declare_tuple_struct(r.type) if isinstance(r.type, RArray): continue # Special: declared on first assignment if r in fn.arg_regs: continue # Skip the arguments ctype = emitter.ctype_spaced(r.type) init = "" declarations.emit_line( "{ctype}{prefix}{name}{init};".format( ctype=ctype, prefix=REG_PREFIX, name=names[r], init=init ) ) # Before we emit the blocks, give them all labels blocks = fn.blocks for i, block in enumerate(blocks): block.label = i # Find blocks that are never jumped to or are only jumped to from the # block directly above it. This allows for more labels and gotos to be # eliminated during code generation. for block in fn.blocks: terminator = block.terminator assert isinstance(terminator, ControlOp), terminator for target in terminator.targets(): is_next_block = target.label == block.label + 1 # Always emit labels for GetAttr error checks since the emit code that # generates them will add instructions between the branch and the # next label, causing the label to be wrongly removed. A better # solution would be to change the IR so that it adds a basic block # in between the calls. is_problematic_op = isinstance(terminator, Branch) and any( isinstance(s, GetAttr) for s in terminator.sources() ) if not is_next_block or is_problematic_op: fn.blocks[target.label].referenced = True common = frequently_executed_blocks(fn.blocks[0]) for i in range(len(blocks)): block = blocks[i] visitor.rare = block not in common next_block = None if i + 1 < len(blocks): next_block = blocks[i + 1] body.emit_label(block) visitor.next_block = next_block ops = block.ops visitor.ops = ops visitor.op_index = 0 while visitor.op_index < len(ops): ops[visitor.op_index].accept(visitor) visitor.op_index += 1 body.emit_line("}") emitter.emit_from_emitter(declarations) emitter.emit_from_emitter(body) class FunctionEmitterVisitor(OpVisitor[None]): def __init__( self, emitter: Emitter, declarations: Emitter, source_path: str, module_name: str ) -> None: self.emitter = emitter self.names = emitter.names self.declarations = declarations self.source_path = source_path self.module_name = module_name self.literals = emitter.context.literals self.rare = False # Next basic block to be processed after the current one (if any), set by caller self.next_block: BasicBlock | None = None # Ops in the basic block currently being processed, set by caller self.ops: list[Op] = [] # Current index within ops; visit methods can increment this to skip/merge ops self.op_index = 0 def temp_name(self) -> str: return self.emitter.temp_name() def visit_goto(self, op: Goto) -> None: if op.label is not self.next_block: self.emit_line("goto %s;" % self.label(op.label)) def error_value_check(self, value: Value, compare: str) -> str: typ = value.type if isinstance(typ, RTuple): # TODO: What about empty tuple? return self.emitter.tuple_undefined_check_cond( typ, self.reg(value), self.c_error_value, compare ) else: return f"{self.reg(value)} {compare} {self.c_error_value(typ)}" def visit_branch(self, op: Branch) -> None: true, false = op.true, op.false negated = op.negated negated_rare = False if true is self.next_block and op.traceback_entry is None: # Switch true/false since it avoids an else block. true, false = false, true negated = not negated negated_rare = True neg = "!" if negated else "" cond = "" if op.op == Branch.BOOL: expr_result = self.reg(op.value) cond = f"{neg}{expr_result}" elif op.op == Branch.IS_ERROR: compare = "!=" if negated else "==" cond = self.error_value_check(op.value, compare) else: assert False, "Invalid branch" # For error checks, tell the compiler the branch is unlikely if op.traceback_entry is not None or op.rare: if not negated_rare: cond = f"unlikely({cond})" else: cond = f"likely({cond})" if false is self.next_block: if op.traceback_entry is None: if true is not self.next_block: self.emit_line(f"if ({cond}) goto {self.label(true)};") else: self.emit_line(f"if ({cond}) {{") self.emit_traceback(op) self.emit_lines("goto %s;" % self.label(true), "}") else: self.emit_line(f"if ({cond}) {{") self.emit_traceback(op) if true is not self.next_block: self.emit_line("goto %s;" % self.label(true)) self.emit_lines("} else", " goto %s;" % self.label(false)) def visit_return(self, op: Return) -> None: value_str = self.reg(op.value) self.emit_line("return %s;" % value_str) def visit_tuple_set(self, op: TupleSet) -> None: dest = self.reg(op) tuple_type = op.tuple_type self.emitter.declare_tuple_struct(tuple_type) if len(op.items) == 0: # empty tuple self.emit_line(f"{dest}.empty_struct_error_flag = 0;") else: for i, item in enumerate(op.items): self.emit_line(f"{dest}.f{i} = {self.reg(item)};") def visit_assign(self, op: Assign) -> None: dest = self.reg(op.dest) src = self.reg(op.src) # clang whines about self assignment (which we might generate # for some casts), so don't emit it. if dest != src: # We sometimes assign from an integer prepresentation of a pointer # to a real pointer, and C compilers insist on a cast. if op.src.type.is_unboxed and not op.dest.type.is_unboxed: src = f"(void *){src}" self.emit_line(f"{dest} = {src};") def visit_assign_multi(self, op: AssignMulti) -> None: typ = op.dest.type assert isinstance(typ, RArray), typ dest = self.reg(op.dest) # RArray values can only be assigned to once, so we can always # declare them on initialization. self.emit_line( "%s%s[%d] = %s;" % ( self.emitter.ctype_spaced(typ.item_type), dest, len(op.src), c_array_initializer([self.reg(s) for s in op.src], indented=True), ) ) def visit_load_error_value(self, op: LoadErrorValue) -> None: if isinstance(op.type, RTuple): values = [self.c_undefined_value(item) for item in op.type.types] tmp = self.temp_name() self.emit_line("{} {} = {{ {} }};".format(self.ctype(op.type), tmp, ", ".join(values))) self.emit_line(f"{self.reg(op)} = {tmp};") else: self.emit_line(f"{self.reg(op)} = {self.c_error_value(op.type)};") def visit_load_literal(self, op: LoadLiteral) -> None: index = self.literals.literal_index(op.value) if not is_int_rprimitive(op.type): self.emit_line("%s = CPyStatics[%d];" % (self.reg(op), index), ann=op.value) else: self.emit_line( "%s = (CPyTagged)CPyStatics[%d] | 1;" % (self.reg(op), index), ann=op.value ) def get_attr_expr(self, obj: str, op: GetAttr | SetAttr, decl_cl: ClassIR) -> str: """Generate attribute accessor for normal (non-property) access. This either has a form like obj->attr_name for attributes defined in non-trait classes, and *(obj + attr_offset) for attributes defined by traits. We also insert all necessary C casts here. """ cast = f"({op.class_type.struct_name(self.emitter.names)} *)" if decl_cl.is_trait and op.class_type.class_ir.is_trait: # For pure trait access find the offset first, offsets # are ordered by attribute position in the cl.attributes dict. # TODO: pre-calculate the mapping to make this faster. trait_attr_index = list(decl_cl.attributes).index(op.attr) # TODO: reuse these names somehow? offset = self.emitter.temp_name() self.declarations.emit_line(f"size_t {offset};") self.emitter.emit_line( "{} = {};".format( offset, "CPy_FindAttrOffset({}, {}, {})".format( self.emitter.type_struct_name(decl_cl), f"({cast}{obj})->vtable", trait_attr_index, ), ) ) attr_cast = f"({self.ctype(op.class_type.attr_type(op.attr))} *)" return f"*{attr_cast}((char *){obj} + {offset})" else: # Cast to something non-trait. Note: for this to work, all struct # members for non-trait classes must obey monotonic linear growth. if op.class_type.class_ir.is_trait: assert not decl_cl.is_trait cast = f"({decl_cl.struct_name(self.emitter.names)} *)" return f"({cast}{obj})->{self.emitter.attr(op.attr)}" def visit_get_attr(self, op: GetAttr) -> None: if op.allow_error_value: self.get_attr_with_allow_error_value(op) return dest = self.reg(op) obj = self.reg(op.obj) rtype = op.class_type cl = rtype.class_ir attr_rtype, decl_cl = cl.attr_details(op.attr) prefer_method = cl.is_trait and attr_rtype.error_overlap if cl.get_method(op.attr, prefer_method=prefer_method): # Properties are essentially methods, so use vtable access for them. if cl.is_method_final(op.attr): self.emit_method_call(f"{dest} = ", op.obj, op.attr, []) else: version = "_TRAIT" if cl.is_trait else "" self.emit_line( "%s = CPY_GET_ATTR%s(%s, %s, %d, %s, %s); /* %s */" % ( dest, version, obj, self.emitter.type_struct_name(rtype.class_ir), rtype.getter_index(op.attr), rtype.struct_name(self.names), self.ctype(rtype.attr_type(op.attr)), op.attr, ) ) else: # Otherwise, use direct or offset struct access. attr_expr = self.get_attr_expr(obj, op, decl_cl) self.emitter.emit_line(f"{dest} = {attr_expr};") always_defined = cl.is_always_defined(op.attr) merged_branch = None if not always_defined: self.emitter.emit_undefined_attr_check( attr_rtype, dest, "==", obj, op.attr, cl, unlikely=True ) branch = self.next_branch() if branch is not None: if ( branch.value is op and branch.op == Branch.IS_ERROR and branch.traceback_entry is not None and not branch.negated ): # Generate code for the following branch here to avoid # redundant branches in the generated code. self.emit_attribute_error(branch, cl.name, op.attr) self.emit_line("goto %s;" % self.label(branch.true)) merged_branch = branch self.emitter.emit_line("}") if not merged_branch: exc_class = "PyExc_AttributeError" self.emitter.emit_line( 'PyErr_SetString({}, "attribute {} of {} undefined");'.format( exc_class, repr(op.attr.removeprefix(GENERATOR_ATTRIBUTE_PREFIX)), repr(cl.name), ) ) if attr_rtype.is_refcounted and not op.is_borrowed: if not merged_branch and not always_defined: self.emitter.emit_line("} else {") self.emitter.emit_inc_ref(dest, attr_rtype) if merged_branch: if merged_branch.false is not self.next_block: self.emit_line("goto %s;" % self.label(merged_branch.false)) self.op_index += 1 elif not always_defined: self.emitter.emit_line("}") def get_attr_with_allow_error_value(self, op: GetAttr) -> None: """Handle GetAttr with allow_error_value=True. This allows NULL or other error value without raising AttributeError. """ dest = self.reg(op) obj = self.reg(op.obj) rtype = op.class_type cl = rtype.class_ir attr_rtype, decl_cl = cl.attr_details(op.attr) # Direct struct access without NULL check attr_expr = self.get_attr_expr(obj, op, decl_cl) self.emitter.emit_line(f"{dest} = {attr_expr};") # Only emit inc_ref if not NULL if attr_rtype.is_refcounted and not op.is_borrowed: check = self.error_value_check(op, "!=") self.emitter.emit_line(f"if ({check}) {{") self.emitter.emit_inc_ref(dest, attr_rtype) self.emitter.emit_line("}") def next_branch(self) -> Branch | None: if self.op_index + 1 < len(self.ops): next_op = self.ops[self.op_index + 1] if isinstance(next_op, Branch): return next_op return None def visit_set_attr(self, op: SetAttr) -> None: if op.error_kind == ERR_FALSE: dest = self.reg(op) obj = self.reg(op.obj) src = self.reg(op.src) rtype = op.class_type cl = rtype.class_ir attr_rtype, decl_cl = cl.attr_details(op.attr) if cl.get_method(op.attr): # Again, use vtable access for properties... assert not op.is_init and op.error_kind == ERR_FALSE, "%s %d %d %s" % ( op.attr, op.is_init, op.error_kind, rtype, ) version = "_TRAIT" if cl.is_trait else "" self.emit_line( "%s = CPY_SET_ATTR%s(%s, %s, %d, %s, %s, %s); /* %s */" % ( dest, version, obj, self.emitter.type_struct_name(rtype.class_ir), rtype.setter_index(op.attr), src, rtype.struct_name(self.names), self.ctype(rtype.attr_type(op.attr)), op.attr, ) ) else: # ...and struct access for normal attributes. attr_expr = self.get_attr_expr(obj, op, decl_cl) if not op.is_init and attr_rtype.is_refcounted: # This is not an initialization (where we know that the attribute was # previously undefined), so decref the old value. always_defined = cl.is_always_defined(op.attr) if not always_defined: self.emitter.emit_undefined_attr_check( attr_rtype, attr_expr, "!=", obj, op.attr, cl ) self.emitter.emit_dec_ref(attr_expr, attr_rtype) if not always_defined: self.emitter.emit_line("}") elif attr_rtype.error_overlap and not cl.is_always_defined(op.attr): # If there is overlap with the error value, update bitmap to mark # attribute as defined. self.emitter.emit_attr_bitmap_set(src, obj, attr_rtype, cl, op.attr) # This steals the reference to src, so we don't need to increment the arg self.emitter.emit_line(f"{attr_expr} = {src};") if op.error_kind == ERR_FALSE: self.emitter.emit_line(f"{dest} = 1;") PREFIX_MAP: Final = { NAMESPACE_STATIC: STATIC_PREFIX, NAMESPACE_TYPE: TYPE_PREFIX, NAMESPACE_MODULE: MODULE_PREFIX, NAMESPACE_TYPE_VAR: TYPE_VAR_PREFIX, } def visit_load_static(self, op: LoadStatic) -> None: dest = self.reg(op) prefix = self.PREFIX_MAP[op.namespace] name = self.emitter.static_name(op.identifier, op.module_name, prefix) if op.namespace == NAMESPACE_TYPE: name = "(PyObject *)%s" % name self.emit_line(f"{dest} = {name};", ann=op.ann) def visit_init_static(self, op: InitStatic) -> None: value = self.reg(op.value) prefix = self.PREFIX_MAP[op.namespace] name = self.emitter.static_name(op.identifier, op.module_name, prefix) if op.namespace == NAMESPACE_TYPE: value = "(PyTypeObject *)%s" % value self.emit_line(f"{name} = {value};") self.emit_inc_ref(name, op.value.type) def visit_tuple_get(self, op: TupleGet) -> None: dest = self.reg(op) src = self.reg(op.src) self.emit_line(f"{dest} = {src}.f{op.index};") if not op.is_borrowed: self.emit_inc_ref(dest, op.type) def get_dest_assign(self, dest: Value) -> str: if not dest.is_void: return self.reg(dest) + " = " else: return "" def visit_call(self, op: Call) -> None: """Call native function.""" dest = self.get_dest_assign(op) args = ", ".join(self.reg(arg) for arg in op.args) lib = self.emitter.get_group_prefix(op.fn) cname = op.fn.cname(self.names) self.emit_line(f"{dest}{lib}{NATIVE_PREFIX}{cname}({args});") def visit_method_call(self, op: MethodCall) -> None: """Call native method.""" dest = self.get_dest_assign(op) self.emit_method_call(dest, op.obj, op.method, op.args) def emit_method_call(self, dest: str, op_obj: Value, name: str, op_args: list[Value]) -> None: obj = self.reg(op_obj) rtype = op_obj.type assert isinstance(rtype, RInstance), rtype class_ir = rtype.class_ir method = rtype.class_ir.get_method(name) assert method is not None # Can we call the method directly, bypassing vtable? is_direct = class_ir.is_method_final(name) # The first argument gets omitted for static methods and # turned into the class for class methods obj_args = ( [] if method.decl.kind == FUNC_STATICMETHOD else [f"(PyObject *)Py_TYPE({obj})"] if method.decl.kind == FUNC_CLASSMETHOD else [obj] ) args = ", ".join(obj_args + [self.reg(arg) for arg in op_args]) mtype = native_function_type(method, self.emitter) version = "_TRAIT" if rtype.class_ir.is_trait else "" if is_direct: # Directly call method, without going through the vtable. lib = self.emitter.get_group_prefix(method.decl) self.emit_line(f"{dest}{lib}{NATIVE_PREFIX}{method.cname(self.names)}({args});") else: # Call using vtable. method_idx = rtype.method_index(name) self.emit_line( "{}CPY_GET_METHOD{}({}, {}, {}, {}, {})({}); /* {} */".format( dest, version, obj, self.emitter.type_struct_name(rtype.class_ir), method_idx, rtype.struct_name(self.names), mtype, args, name, ) ) def visit_inc_ref(self, op: IncRef) -> None: if ( isinstance(op.src, Box) and (is_none_rprimitive(op.src.src.type) or is_bool_or_bit_rprimitive(op.src.src.type)) and HAVE_IMMORTAL ): # On Python 3.12+, None/True/False are immortal, and we can skip inc ref return if isinstance(op.src, LoadLiteral) and HAVE_IMMORTAL: value = op.src.value # We can skip inc ref for immortal literals on Python 3.12+ if type(value) is int and -5 <= value <= 256: # Small integers are immortal return src = self.reg(op.src) self.emit_inc_ref(src, op.src.type) def visit_dec_ref(self, op: DecRef) -> None: src = self.reg(op.src) self.emit_dec_ref(src, op.src.type, is_xdec=op.is_xdec) def visit_box(self, op: Box) -> None: self.emitter.emit_box(self.reg(op.src), self.reg(op), op.src.type, can_borrow=True) def visit_cast(self, op: Cast) -> None: if op.is_unchecked and op.is_borrowed: self.emit_line(f"{self.reg(op)} = {self.reg(op.src)};") return branch = self.next_branch() handler = None if branch is not None: if ( branch.value is op and branch.op == Branch.IS_ERROR and branch.traceback_entry is not None and not branch.negated and branch.false is self.next_block ): # Generate code also for the following branch here to avoid # redundant branches in the generated code. handler = TracebackAndGotoHandler( self.label(branch.true), self.source_path, self.module_name, branch.traceback_entry, ) self.op_index += 1 self.emitter.emit_cast( self.reg(op.src), self.reg(op), op.type, src_type=op.src.type, error=handler ) def visit_unbox(self, op: Unbox) -> None: self.emitter.emit_unbox(self.reg(op.src), self.reg(op), op.type) def visit_unreachable(self, op: Unreachable) -> None: self.emitter.emit_line("CPy_Unreachable();") def visit_raise_standard_error(self, op: RaiseStandardError) -> None: # TODO: Better escaping of backspaces and such if op.value is not None: if isinstance(op.value, str): message = op.value.replace('"', '\\"') self.emitter.emit_line(f'PyErr_SetString(PyExc_{op.class_name}, "{message}");') elif isinstance(op.value, Value): self.emitter.emit_line( "PyErr_SetObject(PyExc_{}, {});".format( op.class_name, self.emitter.reg(op.value) ) ) else: assert False, "op value type must be either str or Value" else: self.emitter.emit_line(f"PyErr_SetNone(PyExc_{op.class_name});") self.emitter.emit_line(f"{self.reg(op)} = 0;") def visit_call_c(self, op: CallC) -> None: if op.is_void: dest = "" else: dest = self.get_dest_assign(op) args = ", ".join(self.reg(arg) for arg in op.args) self.emitter.emit_line(f"{dest}{op.function_name}({args});") def visit_primitive_op(self, op: PrimitiveOp) -> None: raise RuntimeError( f"unexpected PrimitiveOp {op.desc.name}: they must be lowered before codegen" ) def visit_truncate(self, op: Truncate) -> None: dest = self.reg(op) value = self.reg(op.src) # for C backend the generated code are straight assignments self.emit_line(f"{dest} = {value};") def visit_extend(self, op: Extend) -> None: dest = self.reg(op) value = self.reg(op.src) if op.signed: src_cast = self.emit_signed_int_cast(op.src.type) else: src_cast = self.emit_unsigned_int_cast(op.src.type) self.emit_line(f"{dest} = {src_cast}{value};") def visit_load_global(self, op: LoadGlobal) -> None: dest = self.reg(op) self.emit_line(f"{dest} = {op.identifier};", ann=op.ann) def visit_int_op(self, op: IntOp) -> None: dest = self.reg(op) lhs = self.reg(op.lhs) rhs = self.reg(op.rhs) if op.op == IntOp.RIGHT_SHIFT: # Signed right shift lhs = self.emit_signed_int_cast(op.lhs.type) + lhs rhs = self.emit_signed_int_cast(op.rhs.type) + rhs self.emit_line(f"{dest} = {lhs} {op.op_str[op.op]} {rhs};") def visit_comparison_op(self, op: ComparisonOp) -> None: dest = self.reg(op) lhs = self.reg(op.lhs) rhs = self.reg(op.rhs) lhs_cast = "" rhs_cast = "" if op.op in (ComparisonOp.SLT, ComparisonOp.SGT, ComparisonOp.SLE, ComparisonOp.SGE): # Always signed comparison op lhs_cast = self.emit_signed_int_cast(op.lhs.type) rhs_cast = self.emit_signed_int_cast(op.rhs.type) elif op.op in (ComparisonOp.ULT, ComparisonOp.UGT, ComparisonOp.ULE, ComparisonOp.UGE): # Always unsigned comparison op lhs_cast = self.emit_unsigned_int_cast(op.lhs.type) rhs_cast = self.emit_unsigned_int_cast(op.rhs.type) elif isinstance(op.lhs, Integer) and op.lhs.value < 0: # Force signed ==/!= with negative operand rhs_cast = self.emit_signed_int_cast(op.rhs.type) elif isinstance(op.rhs, Integer) and op.rhs.value < 0: # Force signed ==/!= with negative operand lhs_cast = self.emit_signed_int_cast(op.lhs.type) self.emit_line(f"{dest} = {lhs_cast}{lhs} {op.op_str[op.op]} {rhs_cast}{rhs};") def visit_float_op(self, op: FloatOp) -> None: dest = self.reg(op) lhs = self.reg(op.lhs) rhs = self.reg(op.rhs) if op.op != FloatOp.MOD: self.emit_line(f"{dest} = {lhs} {op.op_str[op.op]} {rhs};") else: # TODO: This may set errno as a side effect, that is a little sketchy. self.emit_line(f"{dest} = fmod({lhs}, {rhs});") def visit_float_neg(self, op: FloatNeg) -> None: dest = self.reg(op) src = self.reg(op.src) self.emit_line(f"{dest} = -{src};") def visit_float_comparison_op(self, op: FloatComparisonOp) -> None: dest = self.reg(op) lhs = self.reg(op.lhs) rhs = self.reg(op.rhs) self.emit_line(f"{dest} = {lhs} {op.op_str[op.op]} {rhs};") def visit_load_mem(self, op: LoadMem) -> None: dest = self.reg(op) src = self.reg(op.src) # TODO: we shouldn't dereference to type that are pointer type so far type = self.ctype(op.type) self.emit_line(f"{dest} = *({type} *){src};") if not op.is_borrowed: self.emit_inc_ref(dest, op.type) def visit_set_mem(self, op: SetMem) -> None: dest = self.reg(op.dest) src = self.reg(op.src) dest_type = self.ctype(op.dest_type) # clang whines about self assignment (which we might generate # for some casts), so don't emit it. if dest != src: self.emit_line(f"*({dest_type} *){dest} = {src};") def visit_get_element_ptr(self, op: GetElementPtr) -> None: dest = self.reg(op) src = self.reg(op.src) # TODO: support tuple type assert isinstance(op.src_type, RStruct), op.src_type assert op.field in op.src_type.names, "Invalid field name." self.emit_line( "{} = ({})&(({} *){})->{};".format( dest, op.type._ctype, op.src_type.name, src, op.field ) ) def visit_set_element(self, op: SetElement) -> None: dest = self.reg(op) item = self.reg(op.item) field = op.field if isinstance(op.src, Undef): # First assignment to an undefined struct is trivial. self.emit_line(f"{dest}.{field} = {item};") else: # In the general case create a copy of the struct with a single # item modified. # # TODO: Can we do better if only a subset of fields are initialized? # TODO: Make this less verbose in the common case # TODO: Support tuples (or use RStruct for tuples)? src = self.reg(op.src) src_type = op.src.type assert isinstance(src_type, RStruct), src_type init_items = [] for n in src_type.names: if n != field: init_items.append(f"{src}.{n}") else: init_items.append(item) self.emit_line(f"{dest} = ({self.ctype(src_type)}) {{ {', '.join(init_items)} }};") def visit_load_address(self, op: LoadAddress) -> None: typ = op.type dest = self.reg(op) if isinstance(op.src, Register): src = self.reg(op.src) elif isinstance(op.src, LoadStatic): prefix = self.PREFIX_MAP[op.src.namespace] src = self.emitter.static_name(op.src.identifier, op.src.module_name, prefix) else: src = op.src self.emit_line(f"{dest} = ({typ._ctype})&{src};") def visit_keep_alive(self, op: KeepAlive) -> None: # This is a no-op. pass def visit_unborrow(self, op: Unborrow) -> None: # This is a no-op that propagates the source value. dest = self.reg(op) src = self.reg(op.src) self.emit_line(f"{dest} = {src};") # Helpers def label(self, label: BasicBlock) -> str: return self.emitter.label(label) def reg(self, reg: Value) -> str: if isinstance(reg, Integer): val = reg.value if val == 0 and is_pointer_rprimitive(reg.type): return "NULL" s = str(val) if val >= (1 << 31): # Avoid overflowing signed 32-bit int if val >= (1 << 63): s += "ULL" else: s += "LL" elif val == -(1 << 63): # Avoid overflowing C integer literal s = "(-9223372036854775807LL - 1)" elif val <= -(1 << 31): s += "LL" return s elif isinstance(reg, Float): r = repr(reg.value) if r == "inf": return "INFINITY" elif r == "-inf": return "-INFINITY" elif r == "nan": return "NAN" return r elif isinstance(reg, CString): return '"' + encode_c_string_literal(reg.value) + '"' else: return self.emitter.reg(reg) def ctype(self, rtype: RType) -> str: return self.emitter.ctype(rtype) def c_error_value(self, rtype: RType) -> str: return self.emitter.c_error_value(rtype) def c_undefined_value(self, rtype: RType) -> str: return self.emitter.c_undefined_value(rtype) def emit_line(self, line: str, *, ann: object = None) -> None: self.emitter.emit_line(line, ann=ann) def emit_lines(self, *lines: str) -> None: self.emitter.emit_lines(*lines) def emit_inc_ref(self, dest: str, rtype: RType) -> None: self.emitter.emit_inc_ref(dest, rtype, rare=self.rare) def emit_dec_ref(self, dest: str, rtype: RType, is_xdec: bool) -> None: self.emitter.emit_dec_ref(dest, rtype, is_xdec=is_xdec, rare=self.rare) def emit_declaration(self, line: str) -> None: self.declarations.emit_line(line) def emit_traceback(self, op: Branch) -> None: if op.traceback_entry is not None: self.emitter.emit_traceback(self.source_path, self.module_name, op.traceback_entry) def emit_attribute_error(self, op: Branch, class_name: str, attr: str) -> None: assert op.traceback_entry is not None globals_static = self.emitter.static_name("globals", self.module_name) self.emit_line( 'CPy_AttributeError("%s", "%s", "%s", "%s", %d, %s);' % ( self.source_path.replace("\\", "\\\\"), op.traceback_entry[0], class_name, attr.removeprefix(GENERATOR_ATTRIBUTE_PREFIX), op.traceback_entry[1], globals_static, ) ) if DEBUG_ERRORS: self.emit_line('assert(PyErr_Occurred() != NULL && "failure w/o err!");') def emit_signed_int_cast(self, type: RType) -> str: if is_tagged(type): return "(Py_ssize_t)" else: return "" def emit_unsigned_int_cast(self, type: RType) -> str: if is_int32_rprimitive(type): return "(uint32_t)" elif is_int64_rprimitive(type): return "(uint64_t)" else: return "" _translation_table: Final[dict[int, str]] = {} def encode_c_string_literal(b: bytes) -> str: """Convert bytestring to the C string literal syntax (with necessary escaping). For example, b'foo\n' gets converted to 'foo\\n' (note that double quotes are not added). """ if not _translation_table: # Initialize the translation table on the first call. d = { ord("\n"): "\\n", ord("\r"): "\\r", ord("\t"): "\\t", ord('"'): '\\"', ord("\\"): "\\\\", } for i in range(256): if i not in d: if i < 32 or i >= 127: d[i] = "\\x%.2x" % i else: d[i] = chr(i) _translation_table.update(str.maketrans(d)) return b.decode("latin1").translate(_translation_table) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/codegen/emitmodule.py0000644000175100017510000015055215112307767017552 0ustar00runnerrunner"""Generate C code for a Python C extension module from Python source code.""" # FIXME: Basically nothing in this file operates on the level of a # single module and it should be renamed. from __future__ import annotations import json import os import sys from collections.abc import Iterable from typing import Optional, TypeVar from mypy.build import ( BuildResult, BuildSource, State, build, compute_hash, create_metastore, get_cache_names, sorted_components, ) from mypy.errors import CompileError from mypy.fscache import FileSystemCache from mypy.nodes import MypyFile from mypy.options import Options from mypy.plugin import Plugin, ReportConfigContext from mypy.util import hash_digest, json_dumps from mypyc.analysis.capsule_deps import find_implicit_capsule_dependencies from mypyc.codegen.cstring import c_string_initializer from mypyc.codegen.emit import Emitter, EmitterContext, HeaderDeclaration, c_array_initializer from mypyc.codegen.emitclass import generate_class, generate_class_reuse, generate_class_type_decl from mypyc.codegen.emitfunc import ( generate_native_function, native_function_doc_initializer, native_function_header, ) from mypyc.codegen.emitwrapper import ( generate_legacy_wrapper_function, generate_wrapper_function, legacy_wrapper_function_header, wrapper_function_header, ) from mypyc.codegen.literals import Literals from mypyc.common import ( IS_FREE_THREADED, MODULE_PREFIX, PREFIX, RUNTIME_C_FILES, TOP_LEVEL_NAME, TYPE_VAR_PREFIX, shared_lib_name, short_id_from_name, ) from mypyc.errors import Errors from mypyc.ir.func_ir import FuncIR from mypyc.ir.module_ir import ModuleIR, ModuleIRs, deserialize_modules from mypyc.ir.ops import DeserMaps, LoadLiteral from mypyc.ir.rtypes import RType from mypyc.irbuild.main import build_ir from mypyc.irbuild.mapper import Mapper from mypyc.irbuild.prepare import load_type_map from mypyc.namegen import NameGenerator, exported_name from mypyc.options import CompilerOptions from mypyc.transform.copy_propagation import do_copy_propagation from mypyc.transform.exceptions import insert_exception_handling from mypyc.transform.flag_elimination import do_flag_elimination from mypyc.transform.log_trace import insert_event_trace_logging from mypyc.transform.lower import lower_ir from mypyc.transform.refcount import insert_ref_count_opcodes from mypyc.transform.spill import insert_spills from mypyc.transform.uninit import insert_uninit_checks # All the modules being compiled are divided into "groups". A group # is a set of modules that are placed into the same shared library. # Two common configurations are that every module is placed in a group # by itself (fully separate compilation) and that every module is # placed in the same group (fully whole-program compilation), but we # support finer-grained control of the group as well. # # In fully whole-program compilation, we will generate N+1 extension # modules: one shim per module and one shared library containing all # the actual code. # In fully separate compilation, we (unfortunately) will generate 2*N # extension modules: one shim per module and also one library containing # each module's actual code. (This might be fixable in the future, # but allows a clean separation between setup of the export tables # (see generate_export_table) and running module top levels.) # # A group is represented as a list of BuildSources containing all of # its modules along with the name of the group. (Which can be None # only if we are compiling only a single group with a single file in it # and not using shared libraries). Group = tuple[list[BuildSource], Optional[str]] Groups = list[Group] # A list of (file name, file contents) pairs. FileContents = list[tuple[str, str]] class MarkedDeclaration: """Add a mark, useful for topological sort.""" def __init__(self, declaration: HeaderDeclaration, mark: bool) -> None: self.declaration = declaration self.mark = False class MypycPlugin(Plugin): """Plugin for making mypyc interoperate properly with mypy incremental mode. Basically the point of this plugin is to force mypy to recheck things based on the demands of mypyc in a couple situations: * Any modules in the same group must be compiled together, so we tell mypy that modules depend on all their groupmates. * If the IR metadata is missing or stale or any of the generated C source files associated missing or stale, then we need to recompile the module so we mark it as stale. """ def __init__( self, options: Options, compiler_options: CompilerOptions, groups: Groups ) -> None: super().__init__(options) self.group_map: dict[str, tuple[str | None, list[str]]] = {} for sources, name in groups: modules = sorted(source.module for source in sources) for id in modules: self.group_map[id] = (name, modules) self.compiler_options = compiler_options self.metastore = create_metastore(options) def report_config_data(self, ctx: ReportConfigContext) -> tuple[str | None, list[str]] | None: # The config data we report is the group map entry for the module. # If the data is being used to check validity, we do additional checks # that the IR cache exists and matches the metadata cache and all # output source files exist and are up to date. id, path, is_check = ctx.id, ctx.path, ctx.is_check if id not in self.group_map: return None # If we aren't doing validity checks, just return the cache data if not is_check: return self.group_map[id] # Load the metadata and IR cache meta_path, _, _ = get_cache_names(id, path, self.options) ir_path = get_ir_cache_name(id, path, self.options) try: meta_json = self.metastore.read(meta_path) ir_json = self.metastore.read(ir_path) except FileNotFoundError: # This could happen if mypyc failed after mypy succeeded # in the previous run or if some cache files got # deleted. No big deal, just fail to load the cache. return None ir_data = json.loads(ir_json) # Check that the IR cache matches the metadata cache if hash_digest(meta_json) != ir_data["meta_hash"]: return None # Check that all the source files are present and as # expected. The main situation where this would come up is the # user deleting the build directory without deleting # .mypy_cache, which we should handle gracefully. for path, hash in ir_data["src_hashes"].items(): try: with open(os.path.join(self.compiler_options.target_dir, path), "rb") as f: contents = f.read() except FileNotFoundError: return None real_hash = hash_digest(contents) if hash != real_hash: return None return self.group_map[id] def get_additional_deps(self, file: MypyFile) -> list[tuple[int, str, int]]: # Report dependency on modules in the module's group return [(10, id, -1) for id in self.group_map.get(file.fullname, (None, []))[1]] def parse_and_typecheck( sources: list[BuildSource], options: Options, compiler_options: CompilerOptions, groups: Groups, fscache: FileSystemCache | None = None, alt_lib_path: str | None = None, ) -> BuildResult: assert options.strict_optional, "strict_optional must be turned on" result = build( sources=sources, options=options, alt_lib_path=alt_lib_path, fscache=fscache, extra_plugins=[MypycPlugin(options, compiler_options, groups)], ) if result.errors: raise CompileError(result.errors) return result def compile_scc_to_ir( scc: list[MypyFile], result: BuildResult, mapper: Mapper, compiler_options: CompilerOptions, errors: Errors, ) -> ModuleIRs: """Compile an SCC into ModuleIRs. Any modules that this SCC depends on must have either been compiled, type checked, or loaded from a cache into mapper. Arguments: scc: The list of MypyFiles to compile result: The BuildResult from the mypy front-end mapper: The Mapper object mapping mypy ASTs to class and func IRs compiler_options: The compilation options errors: Where to report any errors encountered Returns the IR of the modules. """ if compiler_options.verbose: print("Compiling {}".format(", ".join(x.name for x in scc))) # Generate basic IR, with missing exception and refcount handling. modules = build_ir(scc, result.graph, result.types, mapper, compiler_options, errors) if errors.num_errors > 0: return modules env_user_functions = {} for module in modules.values(): for cls in module.classes: if cls.env_user_function: env_user_functions[cls.env_user_function] = cls for module in modules.values(): for fn in module.functions: # Insert checks for uninitialized values. insert_uninit_checks(fn) # Insert exception handling. insert_exception_handling(fn) # Insert reference count handling. insert_ref_count_opcodes(fn) if fn in env_user_functions: insert_spills(fn, env_user_functions[fn]) if compiler_options.log_trace: insert_event_trace_logging(fn, compiler_options) # Switch to lower abstraction level IR. lower_ir(fn, compiler_options) # Calculate implicit module dependencies (needed for librt) capsules = find_implicit_capsule_dependencies(fn) if capsules is not None: module.capsules.update(capsules) # Perform optimizations. do_copy_propagation(fn, compiler_options) do_flag_elimination(fn, compiler_options) return modules def compile_modules_to_ir( result: BuildResult, mapper: Mapper, compiler_options: CompilerOptions, errors: Errors ) -> ModuleIRs: """Compile a collection of modules into ModuleIRs. The modules to compile are specified as part of mapper's group_map. Returns the IR of the modules. """ deser_ctx = DeserMaps({}, {}) modules = {} # Process the graph by SCC in topological order, like we do in mypy.build for scc in sorted_components(result.graph): scc_states = [result.graph[id] for id in scc.mod_ids] trees = [st.tree for st in scc_states if st.id in mapper.group_map and st.tree] if not trees: continue fresh = all(id not in result.manager.rechecked_modules for id in scc.mod_ids) if fresh: load_scc_from_cache(trees, result, mapper, deser_ctx) else: scc_ir = compile_scc_to_ir(trees, result, mapper, compiler_options, errors) modules.update(scc_ir) return modules def compile_ir_to_c( groups: Groups, modules: ModuleIRs, result: BuildResult, mapper: Mapper, compiler_options: CompilerOptions, ) -> dict[str | None, list[tuple[str, str]]]: """Compile a collection of ModuleIRs to C source text. Returns a dictionary mapping group names to a list of (file name, file text) pairs. """ source_paths = { source.module: result.graph[source.module].xpath for sources, _ in groups for source in sources } names = NameGenerator( [[source.module for source in sources] for sources, _ in groups], separate=compiler_options.separate, ) # Generate C code for each compilation group. Each group will be # compiled into a separate extension module. ctext: dict[str | None, list[tuple[str, str]]] = {} for group_sources, group_name in groups: group_modules = { source.module: modules[source.module] for source in group_sources if source.module in modules } if not group_modules: ctext[group_name] = [] continue generator = GroupGenerator( group_modules, source_paths, group_name, mapper.group_map, names, compiler_options ) ctext[group_name] = generator.generate_c_for_modules() return ctext def get_ir_cache_name(id: str, path: str, options: Options) -> str: meta_path, _, _ = get_cache_names(id, path, options) # Mypy uses JSON cache even with --fixed-format-cache (for now). return meta_path.replace(".meta.json", ".ir.json").replace(".meta.ff", ".ir.json") def get_state_ir_cache_name(state: State) -> str: return get_ir_cache_name(state.id, state.xpath, state.options) def write_cache( modules: ModuleIRs, result: BuildResult, group_map: dict[str, str | None], ctext: dict[str | None, list[tuple[str, str]]], ) -> None: """Write out the cache information for modules. Each module has the following cache information written (which is in addition to the cache information written by mypy itself): * A serialized version of its mypyc IR, minus the bodies of functions. This allows code that depends on it to use these serialized data structures when compiling against it instead of needing to recompile it. (Compiling against a module requires access to both its mypy and mypyc data structures.) * The hash of the mypy metadata cache file for the module. This is used to ensure that the mypyc cache and the mypy cache are in sync and refer to the same version of the code. This is particularly important if mypyc crashes/errors/is stopped after mypy has written its cache but before mypyc has. * The hashes of all the source file outputs for the group the module is in. This is so that the module will be recompiled if the source outputs are missing. """ hashes = {} for name, files in ctext.items(): hashes[name] = {file: compute_hash(data) for file, data in files} # Write out cache data for id, module in modules.items(): st = result.graph[id] meta_path, _, _ = get_cache_names(id, st.xpath, result.manager.options) # If the metadata isn't there, skip writing the cache. try: meta_data = result.manager.metastore.read(meta_path) except OSError: continue newpath = get_state_ir_cache_name(st) ir_data = { "ir": module.serialize(), "meta_hash": hash_digest(meta_data), "src_hashes": hashes[group_map[id]], } result.manager.metastore.write(newpath, json_dumps(ir_data)) result.manager.metastore.commit() def load_scc_from_cache( scc: list[MypyFile], result: BuildResult, mapper: Mapper, ctx: DeserMaps ) -> ModuleIRs: """Load IR for an SCC of modules from the cache. Arguments and return are as compile_scc_to_ir. """ cache_data = { k.fullname: json.loads( result.manager.metastore.read(get_state_ir_cache_name(result.graph[k.fullname])) )["ir"] for k in scc } modules = deserialize_modules(cache_data, ctx) load_type_map(mapper, scc, ctx) return modules def compile_modules_to_c( result: BuildResult, compiler_options: CompilerOptions, errors: Errors, groups: Groups ) -> tuple[ModuleIRs, list[FileContents], Mapper]: """Compile Python module(s) to the source of Python C extension modules. This generates the source code for the "shared library" module for each group. The shim modules are generated in mypyc.build. Each shared library module provides, for each module in its group, a PyCapsule containing an initialization function. Additionally, it provides a capsule containing an export table of pointers to all the group's functions and static variables. Arguments: result: The BuildResult from the mypy front-end compiler_options: The compilation options errors: Where to report any errors encountered groups: The groups that we are compiling. See documentation of Groups type above. Returns the IR of the modules and a list containing the generated files for each group. """ # Construct a map from modules to what group they belong to group_map = {source.module: lib_name for group, lib_name in groups for source in group} mapper = Mapper(group_map) # Sometimes when we call back into mypy, there might be errors. # We don't want to crash when that happens. result.manager.errors.set_file( "", module=None, scope=None, options=result.manager.options ) modules = compile_modules_to_ir(result, mapper, compiler_options, errors) if errors.num_errors > 0: return {}, [], Mapper({}) ctext = compile_ir_to_c(groups, modules, result, mapper, compiler_options) write_cache(modules, result, group_map, ctext) return modules, [ctext[name] for _, name in groups], mapper def generate_function_declaration(fn: FuncIR, emitter: Emitter) -> None: emitter.context.declarations[emitter.native_function_name(fn.decl)] = HeaderDeclaration( f"{native_function_header(fn.decl, emitter)};", needs_export=True ) if fn.name != TOP_LEVEL_NAME and not fn.internal: if is_fastcall_supported(fn, emitter.capi_version): emitter.context.declarations[PREFIX + fn.cname(emitter.names)] = HeaderDeclaration( f"{wrapper_function_header(fn, emitter.names)};" ) else: emitter.context.declarations[PREFIX + fn.cname(emitter.names)] = HeaderDeclaration( f"{legacy_wrapper_function_header(fn, emitter.names)};" ) def pointerize(decl: str, name: str) -> str: """Given a C decl and its name, modify it to be a declaration to a pointer.""" # This doesn't work in general but does work for all our types... if "(" in decl: # Function pointer. Stick an * in front of the name and wrap it in parens. return decl.replace(name, f"(*{name})") else: # Non-function pointer. Just stick an * in front of the name. return decl.replace(name, f"*{name}") def group_dir(group_name: str) -> str: """Given a group name, return the relative directory path for it.""" return os.sep.join(group_name.split(".")[:-1]) class GroupGenerator: def __init__( self, modules: dict[str, ModuleIR], source_paths: dict[str, str], group_name: str | None, group_map: dict[str, str | None], names: NameGenerator, compiler_options: CompilerOptions, ) -> None: """Generator for C source for a compilation group. The code for a compilation group contains an internal and an external .h file, and then one .c if not in multi_file mode or one .c file per module if in multi_file mode. Arguments: modules: (name, ir) pairs for each module in the group source_paths: Map from module names to source file paths group_name: The name of the group (or None if this is single-module compilation) group_map: A map of modules to their group names names: The name generator for the compilation compiler_options: Mypyc specific options, including multi_file mode """ self.modules = modules self.source_paths = source_paths self.context = EmitterContext(names, group_name, group_map) self.names = names # Initializations of globals to simple values that we can't # do statically because the windows loader is bad. self.simple_inits: list[tuple[str, str]] = [] self.group_name = group_name self.use_shared_lib = group_name is not None self.compiler_options = compiler_options self.multi_file = compiler_options.multi_file # Multi-phase init is needed to enable free-threading. In the future we'll # probably want to enable it always, but we'll wait until it's stable. self.multi_phase_init = IS_FREE_THREADED @property def group_suffix(self) -> str: return "_" + exported_name(self.group_name) if self.group_name else "" @property def short_group_suffix(self) -> str: return "_" + exported_name(self.group_name.split(".")[-1]) if self.group_name else "" def generate_c_for_modules(self) -> list[tuple[str, str]]: file_contents = [] multi_file = self.use_shared_lib and self.multi_file # Collect all literal refs in IR. for module in self.modules.values(): for fn in module.functions: collect_literals(fn, self.context.literals) base_emitter = Emitter(self.context) # Optionally just include the runtime library c files to # reduce the number of compiler invocations needed if self.compiler_options.include_runtime_files: for name in RUNTIME_C_FILES: base_emitter.emit_line(f'#include "{name}"') base_emitter.emit_line(f'#include "__native{self.short_group_suffix}.h"') base_emitter.emit_line(f'#include "__native_internal{self.short_group_suffix}.h"') emitter = base_emitter self.generate_literal_tables() for module_name, module in self.modules.items(): if multi_file: emitter = Emitter(self.context) emitter.emit_line(f'#include "__native{self.short_group_suffix}.h"') emitter.emit_line(f'#include "__native_internal{self.short_group_suffix}.h"') self.declare_module(module_name, emitter) self.declare_internal_globals(module_name, emitter) self.declare_imports(module.imports, emitter) for cl in module.classes: if cl.is_ext_class: generate_class(cl, module_name, emitter) # Generate Python extension module definitions and module initialization functions. self.generate_module_def(emitter, module_name, module) for fn in module.functions: emitter.emit_line() generate_native_function(fn, emitter, self.source_paths[module_name], module_name) if fn.name != TOP_LEVEL_NAME and not fn.internal: emitter.emit_line() if is_fastcall_supported(fn, emitter.capi_version): generate_wrapper_function( fn, emitter, self.source_paths[module_name], module_name ) else: generate_legacy_wrapper_function( fn, emitter, self.source_paths[module_name], module_name ) if multi_file: name = f"__native_{exported_name(module_name)}.c" file_contents.append((name, "".join(emitter.fragments))) # The external header file contains type declarations while # the internal contains declarations of functions and objects # (which are shared between shared libraries via dynamic # exports tables and not accessed directly.) ext_declarations = Emitter(self.context) ext_declarations.emit_line(f"#ifndef MYPYC_NATIVE{self.group_suffix}_H") ext_declarations.emit_line(f"#define MYPYC_NATIVE{self.group_suffix}_H") ext_declarations.emit_line("#include ") ext_declarations.emit_line("#include ") if self.compiler_options.depends_on_librt_internal: ext_declarations.emit_line("#include ") if any("librt.base64" in mod.capsules for mod in self.modules.values()): ext_declarations.emit_line("#include ") declarations = Emitter(self.context) declarations.emit_line(f"#ifndef MYPYC_LIBRT_INTERNAL{self.group_suffix}_H") declarations.emit_line(f"#define MYPYC_LIBRT_INTERNAL{self.group_suffix}_H") declarations.emit_line("#include ") declarations.emit_line("#include ") declarations.emit_line(f'#include "__native{self.short_group_suffix}.h"') declarations.emit_line() declarations.emit_line("int CPyGlobalsInit(void);") declarations.emit_line() for module_name, module in self.modules.items(): self.declare_finals(module_name, module.final_names, declarations) for cl in module.classes: generate_class_type_decl(cl, emitter, ext_declarations, declarations) if cl.reuse_freed_instance: generate_class_reuse(cl, emitter, ext_declarations, declarations) self.declare_type_vars(module_name, module.type_var_names, declarations) for fn in module.functions: generate_function_declaration(fn, declarations) for lib in sorted(self.context.group_deps): elib = exported_name(lib) short_lib = exported_name(lib.split(".")[-1]) declarations.emit_lines( "#include <{}>".format(os.path.join(group_dir(lib), f"__native_{short_lib}.h")), f"struct export_table_{elib} exports_{elib};", ) sorted_decls = self.toposort_declarations() emitter = base_emitter self.generate_globals_init(emitter) emitter.emit_line() for declaration in sorted_decls: decls = ext_declarations if declaration.is_type else declarations if not declaration.is_type: decls.emit_lines(f"extern {declaration.decl[0]}", *declaration.decl[1:]) # If there is a definition, emit it. Otherwise, repeat the declaration # (without an extern). if declaration.defn: emitter.emit_lines(*declaration.defn) else: emitter.emit_lines(*declaration.decl) else: decls.emit_lines(*declaration.decl) if self.group_name: if self.compiler_options.separate: self.generate_export_table(ext_declarations, emitter) self.generate_shared_lib_init(emitter) ext_declarations.emit_line("#endif") declarations.emit_line("#endif") output_dir = group_dir(self.group_name) if self.group_name else "" return file_contents + [ ( os.path.join(output_dir, f"__native{self.short_group_suffix}.c"), "".join(emitter.fragments), ), ( os.path.join(output_dir, f"__native_internal{self.short_group_suffix}.h"), "".join(declarations.fragments), ), ( os.path.join(output_dir, f"__native{self.short_group_suffix}.h"), "".join(ext_declarations.fragments), ), ] def generate_literal_tables(self) -> None: """Generate tables containing descriptions of Python literals to construct. We will store the constructed literals in a single array that contains literals of all types. This way we can refer to an arbitrary literal by its index. """ literals = self.context.literals # During module initialization we store all the constructed objects here self.declare_global("PyObject *[%d]" % literals.num_literals(), "CPyStatics") # Descriptions of str literals init_str = c_string_array_initializer(literals.encoded_str_values()) self.declare_global("const char * const []", "CPyLit_Str", initializer=init_str) # Descriptions of bytes literals init_bytes = c_string_array_initializer(literals.encoded_bytes_values()) self.declare_global("const char * const []", "CPyLit_Bytes", initializer=init_bytes) # Descriptions of int literals init_int = c_string_array_initializer(literals.encoded_int_values()) self.declare_global("const char * const []", "CPyLit_Int", initializer=init_int) # Descriptions of float literals init_floats = c_array_initializer(literals.encoded_float_values()) self.declare_global("const double []", "CPyLit_Float", initializer=init_floats) # Descriptions of complex literals init_complex = c_array_initializer(literals.encoded_complex_values()) self.declare_global("const double []", "CPyLit_Complex", initializer=init_complex) # Descriptions of tuple literals init_tuple = c_array_initializer(literals.encoded_tuple_values()) self.declare_global("const int []", "CPyLit_Tuple", initializer=init_tuple) # Descriptions of frozenset literals init_frozenset = c_array_initializer(literals.encoded_frozenset_values()) self.declare_global("const int []", "CPyLit_FrozenSet", initializer=init_frozenset) def generate_export_table(self, decl_emitter: Emitter, code_emitter: Emitter) -> None: """Generate the declaration and definition of the group's export struct. To avoid needing to deal with deeply platform specific issues involving dynamic library linking (and some possibly insurmountable issues involving cyclic dependencies), compiled code accesses functions and data in other compilation groups via an explicit "export struct". Each group declares a struct type that contains a pointer to every function and static variable it exports. It then populates this struct and stores a pointer to it in a capsule stored as an attribute named 'exports' on the group's shared library's python module. On load, a group's init function will import all of its dependencies' exports tables using the capsule mechanism and copy the contents into a local copy of the table (to eliminate the need for a pointer indirection when accessing it). Then, all calls to functions in another group and accesses to statics from another group are done indirectly via the export table. For example, a group containing a module b, where b contains a class B and a function bar, would declare an export table like: struct export_table_b { PyTypeObject **CPyType_B; PyObject *(*CPyDef_B)(CPyTagged cpy_r_x); CPyTagged (*CPyDef_B___foo)(PyObject *cpy_r_self, CPyTagged cpy_r_y); tuple_T2OI (*CPyDef_bar)(PyObject *cpy_r_x); char (*CPyDef___top_level__)(void); }; that would be initialized with: static struct export_table_b exports = { &CPyType_B, &CPyDef_B, &CPyDef_B___foo, &CPyDef_bar, &CPyDef___top_level__, }; To call `b.foo`, then, a function in another group would do `exports_b.CPyDef_bar(...)`. """ decls = decl_emitter.context.declarations decl_emitter.emit_lines("", f"struct export_table{self.group_suffix} {{") for name, decl in decls.items(): if decl.needs_export: decl_emitter.emit_line(pointerize("\n".join(decl.decl), name)) decl_emitter.emit_line("};") code_emitter.emit_lines("", f"static struct export_table{self.group_suffix} exports = {{") for name, decl in decls.items(): if decl.needs_export: code_emitter.emit_line(f"&{name},") code_emitter.emit_line("};") def generate_shared_lib_init(self, emitter: Emitter) -> None: """Generate the init function for a shared library. A shared library contains all the actual code for a compilation group. The init function is responsible for creating Capsules that wrap pointers to the initialization function of all the real init functions for modules in this shared library as well as the export table containing all the exported functions and values from all the modules. These capsules are stored in attributes of the shared library. """ assert self.group_name is not None emitter.emit_line() short_name = shared_lib_name(self.group_name).split(".")[-1] emitter.emit_lines( f"static int exec_{short_name}(PyObject *module)", "{", "int res;", "PyObject *capsule;", "PyObject *tmp;", "", ) if self.compiler_options.separate: emitter.emit_lines( 'capsule = PyCapsule_New(&exports, "{}.exports", NULL);'.format( shared_lib_name(self.group_name) ), "if (!capsule) {", "goto fail;", "}", 'res = PyObject_SetAttrString(module, "exports", capsule);', "Py_DECREF(capsule);", "if (res < 0) {", "goto fail;", "}", "", ) for mod in self.modules: name = exported_name(mod) if self.multi_phase_init: capsule_func_prefix = "CPyExec_" capsule_name_prefix = "exec_" emitter.emit_line(f"extern int CPyExec_{name}(PyObject *);") else: capsule_func_prefix = "CPyInit_" capsule_name_prefix = "init_" emitter.emit_line(f"extern PyObject *CPyInit_{name}(void);") emitter.emit_lines( 'capsule = PyCapsule_New((void *){}{}, "{}.{}{}", NULL);'.format( capsule_func_prefix, name, shared_lib_name(self.group_name), capsule_name_prefix, name, ), "if (!capsule) {", "goto fail;", "}", f'res = PyObject_SetAttrString(module, "{capsule_name_prefix}{name}", capsule);', "Py_DECREF(capsule);", "if (res < 0) {", "goto fail;", "}", "", ) for group in sorted(self.context.group_deps): egroup = exported_name(group) emitter.emit_lines( 'tmp = PyImport_ImportModule("{}"); if (!tmp) goto fail; Py_DECREF(tmp);'.format( shared_lib_name(group) ), 'struct export_table_{} *pexports_{} = PyCapsule_Import("{}.exports", 0);'.format( egroup, egroup, shared_lib_name(group) ), f"if (!pexports_{egroup}) {{", "goto fail;", "}", "memcpy(&exports_{group}, pexports_{group}, sizeof(exports_{group}));".format( group=egroup ), "", ) emitter.emit_lines("return 0;", "fail:", "return -1;", "}") if self.multi_phase_init: emitter.emit_lines( f"static PyModuleDef_Slot slots_{short_name}[] = {{", f"{{Py_mod_exec, exec_{short_name}}},", "{Py_mod_multiple_interpreters, Py_MOD_MULTIPLE_INTERPRETERS_NOT_SUPPORTED},", "{Py_mod_gil, Py_MOD_GIL_NOT_USED},", "{0, NULL},", "};", ) size = 0 if self.multi_phase_init else -1 emitter.emit_lines( f"static PyModuleDef module_def_{short_name} = {{", "PyModuleDef_HEAD_INIT,", f'.m_name = "{shared_lib_name(self.group_name)}",', ".m_doc = NULL,", f".m_size = {size},", ".m_methods = NULL,", ) if self.multi_phase_init: emitter.emit_line(f".m_slots = slots_{short_name},") emitter.emit_line("};") if self.multi_phase_init: emitter.emit_lines( f"PyMODINIT_FUNC PyInit_{short_name}(void) {{", f"return PyModuleDef_Init(&module_def_{short_name});", "}", ) else: emitter.emit_lines( f"PyMODINIT_FUNC PyInit_{short_name}(void) {{", "static PyObject *module = NULL;", "if (module) {", "Py_INCREF(module);", "return module;", "}", f"module = PyModule_Create(&module_def_{short_name});", "if (!module) {", "return NULL;", "}", f"if (exec_{short_name}(module) < 0) {{", "Py_DECREF(module);", "return NULL;", "}", "return module;", "}", ) def generate_globals_init(self, emitter: Emitter) -> None: emitter.emit_lines( "", "int CPyGlobalsInit(void)", "{", "static int is_initialized = 0;", "if (is_initialized) return 0;", "", ) emitter.emit_line("CPy_Init();") for symbol, fixup in self.simple_inits: emitter.emit_line(f"{symbol} = {fixup};") values = "CPyLit_Str, CPyLit_Bytes, CPyLit_Int, CPyLit_Float, CPyLit_Complex, CPyLit_Tuple, CPyLit_FrozenSet" emitter.emit_lines( f"if (CPyStatics_Initialize(CPyStatics, {values}) < 0) {{", "return -1;", "}" ) emitter.emit_lines("is_initialized = 1;", "return 0;", "}") def generate_module_def(self, emitter: Emitter, module_name: str, module: ModuleIR) -> None: """Emit the PyModuleDef struct for a module and the module init function.""" module_prefix = emitter.names.private_name(module_name) self.emit_module_methods(emitter, module_name, module_prefix, module) self.emit_module_exec_func(emitter, module_name, module_prefix, module) # If using multi-phase init and a shared lib, parts of module definition # will happen in the shim modules, so we skip some steps here. if not (self.multi_phase_init and self.use_shared_lib): if self.multi_phase_init: self.emit_module_def_slots(emitter, module_prefix, module_name) self.emit_module_def_struct(emitter, module_name, module_prefix) self.emit_module_init_func(emitter, module_name, module_prefix) def emit_module_def_slots( self, emitter: Emitter, module_prefix: str, module_name: str ) -> None: name = f"{module_prefix}_slots" exec_name = f"CPyExec_{exported_name(module_name)}" emitter.emit_line(f"static PyModuleDef_Slot {name}[] = {{") emitter.emit_line(f"{{Py_mod_exec, {exec_name}}},") if sys.version_info >= (3, 12): # Multiple interpreter support requires not using any C global state, # which we don't support yet. emitter.emit_line( "{Py_mod_multiple_interpreters, Py_MOD_MULTIPLE_INTERPRETERS_NOT_SUPPORTED}," ) if sys.version_info >= (3, 13): # Declare support for free-threading to enable experimentation, # even if we don't properly support it. emitter.emit_line("{Py_mod_gil, Py_MOD_GIL_NOT_USED},") emitter.emit_line("{0, NULL},") emitter.emit_line("};") def emit_module_methods( self, emitter: Emitter, module_name: str, module_prefix: str, module: ModuleIR ) -> None: """Emit module methods (the static PyMethodDef table).""" emitter.emit_line(f"static PyMethodDef {module_prefix}module_methods[] = {{") for fn in module.functions: if fn.class_name is not None or fn.name == TOP_LEVEL_NAME: continue name = short_id_from_name(fn.name, fn.decl.shortname, fn.line) if is_fastcall_supported(fn, emitter.capi_version): flag = "METH_FASTCALL" else: flag = "METH_VARARGS" doc = native_function_doc_initializer(fn) emitter.emit_line( ( '{{"{name}", (PyCFunction){prefix}{cname}, {flag} | METH_KEYWORDS, ' "PyDoc_STR({doc}) /* docstring */}}," ).format( name=name, cname=fn.cname(emitter.names), prefix=PREFIX, flag=flag, doc=doc ) ) emitter.emit_line("{NULL, NULL, 0, NULL}") emitter.emit_line("};") emitter.emit_line() def emit_module_def_struct( self, emitter: Emitter, module_name: str, module_prefix: str ) -> None: """Emit the static module definition struct (PyModuleDef).""" emitter.emit_lines( f"static struct PyModuleDef {module_prefix}module = {{", "PyModuleDef_HEAD_INIT,", f'"{module_name}",', "NULL, /* docstring */", "0, /* size of per-interpreter state of the module */", f"{module_prefix}module_methods,", ) if self.multi_phase_init and not self.use_shared_lib: slots_name = f"{module_prefix}_slots" emitter.emit_line(f"{slots_name}, /* m_slots */") else: emitter.emit_line("NULL,") emitter.emit_line("};") emitter.emit_line() def emit_module_exec_func( self, emitter: Emitter, module_name: str, module_prefix: str, module: ModuleIR ) -> None: """Emit the module exec function. If we are compiling just one module, this will be the normal C API exec function. If we are compiling 2+ modules, we generate a shared library for the modules and shims that call into the shared library, and in this case the shared module defines an internal exec function for each module and these will be called by the shims via Capsules. """ declaration = f"int CPyExec_{exported_name(module_name)}(PyObject *module)" module_static = self.module_internal_static_name(module_name, emitter) emitter.emit_lines(declaration, "{") if self.compiler_options.depends_on_librt_internal: emitter.emit_line("if (import_librt_internal() < 0) {") emitter.emit_line("return -1;") emitter.emit_line("}") if "librt.base64" in module.capsules: emitter.emit_line("if (import_librt_base64() < 0) {") emitter.emit_line("return -1;") emitter.emit_line("}") emitter.emit_line("PyObject* modname = NULL;") if self.multi_phase_init: emitter.emit_line(f"{module_static} = module;") emitter.emit_line( f'modname = PyObject_GetAttrString((PyObject *){module_static}, "__name__");' ) module_globals = emitter.static_name("globals", module_name) emitter.emit_lines( f"{module_globals} = PyModule_GetDict({module_static});", f"if (unlikely({module_globals} == NULL))", " goto fail;", ) if self.multi_phase_init: emitter.emit_lines( f"if (PyModule_AddFunctions(module, {module_prefix}module_methods) < 0)", " goto fail;", ) # HACK: Manually instantiate generated classes here type_structs: list[str] = [] for cl in module.classes: type_struct = emitter.type_struct_name(cl) type_structs.append(type_struct) if cl.is_generated: emitter.emit_lines( "{t} = (PyTypeObject *)CPyType_FromTemplate(" "(PyObject *){t}_template, NULL, modname);".format(t=type_struct) ) emitter.emit_lines(f"if (unlikely(!{type_struct}))", " goto fail;") name_prefix = cl.name_prefix(emitter.names) emitter.emit_line(f"CPyDef_{name_prefix}_trait_vtable_setup();") emitter.emit_lines("if (CPyGlobalsInit() < 0)", " goto fail;") self.generate_top_level_call(module, emitter) emitter.emit_lines("Py_DECREF(modname);") emitter.emit_line("return 0;") emitter.emit_lines("fail:") if self.multi_phase_init: emitter.emit_lines(f"{module_static} = NULL;", "Py_CLEAR(modname);") else: emitter.emit_lines(f"Py_CLEAR({module_static});", "Py_CLEAR(modname);") for name, typ in module.final_names: static_name = emitter.static_name(name, module_name) emitter.emit_dec_ref(static_name, typ, is_xdec=True) undef = emitter.c_undefined_value(typ) emitter.emit_line(f"{static_name} = {undef};") # the type objects returned from CPyType_FromTemplate are all new references # so we have to decref them for t in type_structs: emitter.emit_line(f"Py_CLEAR({t});") emitter.emit_line("return -1;") emitter.emit_line("}") def emit_module_init_func( self, emitter: Emitter, module_name: str, module_prefix: str ) -> None: if not self.use_shared_lib: declaration = f"PyMODINIT_FUNC PyInit_{module_name}(void)" else: declaration = f"PyObject *CPyInit_{exported_name(module_name)}(void)" emitter.emit_lines(declaration, "{") if self.multi_phase_init: def_name = f"{module_prefix}module" emitter.emit_line(f"return PyModuleDef_Init(&{def_name});") emitter.emit_line("}") return exec_func = f"CPyExec_{exported_name(module_name)}" # Store the module reference in a static and return it when necessary. # This is separate from the *global* reference to the module that will # be populated when it is imported by a compiled module. We want that # reference to only be populated when the module has been successfully # imported, whereas this we want to have to stop a circular import. module_static = self.module_internal_static_name(module_name, emitter) emitter.emit_lines( f"if ({module_static}) {{", f"Py_INCREF({module_static});", f"return {module_static};", "}", ) emitter.emit_lines( f"{module_static} = PyModule_Create(&{module_prefix}module);", f"if (unlikely({module_static} == NULL))", " goto fail;", ) emitter.emit_lines(f"if ({exec_func}({module_static}) != 0)", " goto fail;") emitter.emit_line(f"return {module_static};") emitter.emit_lines("fail:", "return NULL;") emitter.emit_lines("}") def generate_top_level_call(self, module: ModuleIR, emitter: Emitter) -> None: """Generate call to function representing module top level.""" # Optimization: we tend to put the top level last, so reverse iterate for fn in reversed(module.functions): if fn.name == TOP_LEVEL_NAME: emitter.emit_lines( f"char result = {emitter.native_function_name(fn.decl)}();", "if (result == 2)", " goto fail;", ) break def toposort_declarations(self) -> list[HeaderDeclaration]: """Topologically sort the declaration dict by dependencies. Declarations can require other declarations to come prior in C (such as declaring structs). In order to guarantee that the C output will compile the declarations will thus need to be properly ordered. This simple DFS guarantees that we have a proper ordering. This runs in O(V + E). """ result = [] marked_declarations: dict[str, MarkedDeclaration] = {} for k, v in self.context.declarations.items(): marked_declarations[k] = MarkedDeclaration(v, False) def _toposort_visit(name: str) -> None: decl = marked_declarations[name] if decl.mark: return for child in decl.declaration.dependencies: _toposort_visit(child) result.append(decl.declaration) decl.mark = True for name in marked_declarations: _toposort_visit(name) return result def declare_global( self, type_spaced: str, name: str, *, initializer: str | None = None ) -> None: if "[" not in type_spaced: base = f"{type_spaced}{name}" else: a, b = type_spaced.split("[", 1) base = f"{a}{name}[{b}" if not initializer: defn = None else: defn = [f"{base} = {initializer};"] if name not in self.context.declarations: self.context.declarations[name] = HeaderDeclaration(f"{base};", defn=defn) def declare_internal_globals(self, module_name: str, emitter: Emitter) -> None: static_name = emitter.static_name("globals", module_name) self.declare_global("PyObject *", static_name) def module_internal_static_name(self, module_name: str, emitter: Emitter) -> str: return emitter.static_name(module_name + "__internal", None, prefix=MODULE_PREFIX) def declare_module(self, module_name: str, emitter: Emitter) -> None: # We declare two globals for each compiled module: # one used internally in the implementation of module init to cache results # and prevent infinite recursion in import cycles, and one used # by other modules to refer to it. if module_name in self.modules: internal_static_name = self.module_internal_static_name(module_name, emitter) self.declare_global("CPyModule *", internal_static_name, initializer="NULL") static_name = emitter.static_name(module_name, None, prefix=MODULE_PREFIX) self.declare_global("CPyModule *", static_name) self.simple_inits.append((static_name, "Py_None")) def declare_imports(self, imps: Iterable[str], emitter: Emitter) -> None: for imp in imps: self.declare_module(imp, emitter) def declare_finals( self, module: str, final_names: Iterable[tuple[str, RType]], emitter: Emitter ) -> None: for name, typ in final_names: static_name = emitter.static_name(name, module) emitter.context.declarations[static_name] = HeaderDeclaration( f"{emitter.ctype_spaced(typ)}{static_name};", [self.final_definition(module, name, typ, emitter)], needs_export=True, ) def final_definition(self, module: str, name: str, typ: RType, emitter: Emitter) -> str: static_name = emitter.static_name(name, module) # Here we rely on the fact that undefined value and error value are always the same undefined = emitter.c_initializer_undefined_value(typ) return f"{emitter.ctype_spaced(typ)}{static_name} = {undefined};" def declare_static_pyobject(self, identifier: str, emitter: Emitter) -> None: symbol = emitter.static_name(identifier, None) self.declare_global("PyObject *", symbol) def declare_type_vars(self, module: str, type_var_names: list[str], emitter: Emitter) -> None: for name in type_var_names: static_name = emitter.static_name(name, module, prefix=TYPE_VAR_PREFIX) emitter.context.declarations[static_name] = HeaderDeclaration( f"PyObject *{static_name};", [f"PyObject *{static_name} = NULL;"], needs_export=False, ) T = TypeVar("T") def toposort(deps: dict[T, set[T]]) -> list[T]: """Topologically sort a dict from item to dependencies. This runs in O(V + E). """ result = [] visited: set[T] = set() def visit(item: T) -> None: if item in visited: return for child in deps[item]: visit(child) result.append(item) visited.add(item) for item in deps: visit(item) return result def is_fastcall_supported(fn: FuncIR, capi_version: tuple[int, int]) -> bool: if fn.class_name is not None: if fn.name == "__call__": # We can use vectorcalls (PEP 590) when supported return True # TODO: Support fastcall for __init__ and __new__. return fn.name != "__init__" and fn.name != "__new__" return True def collect_literals(fn: FuncIR, literals: Literals) -> None: """Store all Python literal object refs in fn. Collecting literals must happen only after we have the final IR. This way we won't include literals that have been optimized away. """ for block in fn.blocks: for op in block.ops: if isinstance(op, LoadLiteral): literals.record_literal(op.value) def c_string_array_initializer(components: list[bytes]) -> str: result = [] result.append("{\n") for s in components: result.append(" " + c_string_initializer(s) + ",\n") result.append("}") return "".join(result) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/codegen/emitwrapper.py0000644000175100017510000011204615112307767017741 0ustar00runnerrunner"""Generate CPython API wrapper functions for native functions. The wrapper functions are used by the CPython runtime when calling native functions from interpreted code, and when the called function can't be determined statically in compiled code. They validate, match, unbox and type check function arguments, and box return values as needed. All wrappers accept and return 'PyObject *' (boxed) values. The wrappers aren't used for most calls between two native functions or methods in a single compilation unit. """ from __future__ import annotations from collections.abc import Sequence from mypy.nodes import ARG_NAMED, ARG_NAMED_OPT, ARG_OPT, ARG_POS, ARG_STAR, ARG_STAR2, ArgKind from mypy.operators import op_methods_to_symbols, reverse_op_method_names, reverse_op_methods from mypyc.codegen.emit import AssignHandler, Emitter, ErrorHandler, GotoHandler, ReturnHandler from mypyc.common import ( BITMAP_BITS, BITMAP_TYPE, DUNDER_PREFIX, NATIVE_PREFIX, PREFIX, bitmap_name, ) from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FUNC_STATICMETHOD, FuncIR, RuntimeArg from mypyc.ir.rtypes import ( RInstance, RType, is_bool_rprimitive, is_int_rprimitive, is_object_rprimitive, object_rprimitive, ) from mypyc.namegen import NameGenerator # Generic vectorcall wrapper functions (Python 3.7+) # # A wrapper function has a signature like this: # # PyObject *fn(PyObject *self, PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames) # # The function takes a self object, pointer to an array of arguments, # the number of positional arguments, and a tuple of keyword argument # names (that are stored starting in args[nargs]). # # It returns the returned object, or NULL on an exception. # # These are more efficient than legacy wrapper functions, since # usually no tuple or dict objects need to be created for the # arguments. Vectorcalls also use pre-constructed str objects for # keyword argument names and other pre-computed information, instead # of processing the argument format string on each call. def wrapper_function_header(fn: FuncIR, names: NameGenerator) -> str: """Return header of a vectorcall wrapper function. See comment above for a summary of the arguments. """ assert not fn.internal return ( "PyObject *{prefix}{name}(" "PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames)" ).format(prefix=PREFIX, name=fn.cname(names)) def generate_traceback_code( fn: FuncIR, emitter: Emitter, source_path: str, module_name: str ) -> str: # If we hit an error while processing arguments, then we emit a # traceback frame to make it possible to debug where it happened. # Unlike traceback frames added for exceptions seen in IR, we do this # even if there is no `traceback_name`. This is because the error will # have originated here and so we need it in the traceback. globals_static = emitter.static_name("globals", module_name) traceback_code = 'CPy_AddTraceback("%s", "%s", %d, %s);' % ( source_path.replace("\\", "\\\\"), fn.traceback_name or fn.name, fn.line, globals_static, ) return traceback_code def make_arg_groups(args: list[RuntimeArg]) -> dict[ArgKind, list[RuntimeArg]]: """Group arguments by kind.""" return {k: [arg for arg in args if arg.kind == k] for k in ArgKind} def reorder_arg_groups(groups: dict[ArgKind, list[RuntimeArg]]) -> list[RuntimeArg]: """Reorder argument groups to match their order in a format string.""" return groups[ARG_POS] + groups[ARG_OPT] + groups[ARG_NAMED_OPT] + groups[ARG_NAMED] def make_static_kwlist(args: list[RuntimeArg]) -> str: arg_names = "".join(f'"{arg.name}", ' for arg in args) return f"static const char * const kwlist[] = {{{arg_names}0}};" def make_format_string(func_name: str | None, groups: dict[ArgKind, list[RuntimeArg]]) -> str: """Return a format string that specifies the accepted arguments. The format string is an extended subset of what is supported by PyArg_ParseTupleAndKeywords(). Only the type 'O' is used, and we also support some extensions: - Required keyword-only arguments are introduced after '@' - If the function receives *args or **kwargs, we add a '%' prefix Each group requires the previous groups' delimiters to be present first. These are used by both vectorcall and legacy wrapper functions. """ format = "" if groups[ARG_STAR] or groups[ARG_STAR2]: format += "%" format += "O" * len(groups[ARG_POS]) if groups[ARG_OPT] or groups[ARG_NAMED_OPT] or groups[ARG_NAMED]: format += "|" + "O" * len(groups[ARG_OPT]) if groups[ARG_NAMED_OPT] or groups[ARG_NAMED]: format += "$" + "O" * len(groups[ARG_NAMED_OPT]) if groups[ARG_NAMED]: format += "@" + "O" * len(groups[ARG_NAMED]) if func_name is not None: format += f":{func_name}" return format def generate_wrapper_function( fn: FuncIR, emitter: Emitter, source_path: str, module_name: str ) -> None: """Generate a CPython-compatible vectorcall wrapper for a native function. In particular, this handles unboxing the arguments, calling the native function, and then boxing the return value. """ emitter.emit_line(f"{wrapper_function_header(fn, emitter.names)} {{") # If fn is a method, then the first argument is a self param real_args = list(fn.args) if fn.sig.num_bitmap_args: real_args = real_args[: -fn.sig.num_bitmap_args] if fn.class_name and fn.decl.kind != FUNC_STATICMETHOD: arg = real_args.pop(0) emitter.emit_line(f"PyObject *obj_{arg.name} = self;") # Need to order args as: required, optional, kwonly optional, kwonly required # This is because CPyArg_ParseStackAndKeywords format string requires # them grouped in that way. groups = make_arg_groups(real_args) reordered_args = reorder_arg_groups(groups) emitter.emit_line(make_static_kwlist(reordered_args)) fmt = make_format_string(fn.name, groups) # Define the arguments the function accepts (but no types yet) emitter.emit_line(f'static CPyArg_Parser parser = {{"{fmt}", kwlist, 0}};') for arg in real_args: emitter.emit_line( "PyObject *obj_{}{};".format(arg.name, " = NULL" if arg.optional else "") ) cleanups = [f"CPy_DECREF(obj_{arg.name});" for arg in groups[ARG_STAR] + groups[ARG_STAR2]] arg_ptrs: list[str] = [] if groups[ARG_STAR] or groups[ARG_STAR2]: arg_ptrs += [f"&obj_{groups[ARG_STAR][0].name}" if groups[ARG_STAR] else "NULL"] arg_ptrs += [f"&obj_{groups[ARG_STAR2][0].name}" if groups[ARG_STAR2] else "NULL"] arg_ptrs += [f"&obj_{arg.name}" for arg in reordered_args] if fn.name == "__call__": nargs = "PyVectorcall_NARGS(nargs)" else: nargs = "nargs" parse_fn = "CPyArg_ParseStackAndKeywords" # Special case some common signatures if not real_args: # No args parse_fn = "CPyArg_ParseStackAndKeywordsNoArgs" elif len(real_args) == 1 and len(groups[ARG_POS]) == 1: # Single positional arg parse_fn = "CPyArg_ParseStackAndKeywordsOneArg" elif len(real_args) == len(groups[ARG_POS]) + len(groups[ARG_OPT]): # No keyword-only args, *args or **kwargs parse_fn = "CPyArg_ParseStackAndKeywordsSimple" emitter.emit_lines( "if (!{}(args, {}, kwnames, &parser{})) {{".format( parse_fn, nargs, "".join(", " + n for n in arg_ptrs) ), "return NULL;", "}", ) for i in range(fn.sig.num_bitmap_args): name = bitmap_name(i) emitter.emit_line(f"{BITMAP_TYPE} {name} = 0;") traceback_code = generate_traceback_code(fn, emitter, source_path, module_name) generate_wrapper_core( fn, emitter, groups[ARG_OPT] + groups[ARG_NAMED_OPT], cleanups=cleanups, traceback_code=traceback_code, ) emitter.emit_line("}") # Legacy generic wrapper functions # # These take a self object, a Python tuple of positional arguments, # and a dict of keyword arguments. These are a lot slower than # vectorcall wrappers, especially in calls involving keyword # arguments. def legacy_wrapper_function_header(fn: FuncIR, names: NameGenerator) -> str: return "PyObject *{prefix}{name}(PyObject *self, PyObject *args, PyObject *kw)".format( prefix=PREFIX, name=fn.cname(names) ) def generate_legacy_wrapper_function( fn: FuncIR, emitter: Emitter, source_path: str, module_name: str ) -> None: """Generates a CPython-compatible legacy wrapper for a native function. In particular, this handles unboxing the arguments, calling the native function, and then boxing the return value. """ emitter.emit_line(f"{legacy_wrapper_function_header(fn, emitter.names)} {{") # If fn is a method, then the first argument is a self param real_args = list(fn.args) if fn.sig.num_bitmap_args: real_args = real_args[: -fn.sig.num_bitmap_args] if fn.class_name and (fn.decl.name == "__new__" or fn.decl.kind != FUNC_STATICMETHOD): arg = real_args.pop(0) emitter.emit_line(f"PyObject *obj_{arg.name} = self;") # Need to order args as: required, optional, kwonly optional, kwonly required # This is because CPyArg_ParseTupleAndKeywords format string requires # them grouped in that way. groups = make_arg_groups(real_args) reordered_args = reorder_arg_groups(groups) emitter.emit_line(make_static_kwlist(reordered_args)) for arg in real_args: emitter.emit_line( "PyObject *obj_{}{};".format(arg.name, " = NULL" if arg.optional else "") ) cleanups = [f"CPy_DECREF(obj_{arg.name});" for arg in groups[ARG_STAR] + groups[ARG_STAR2]] arg_ptrs: list[str] = [] if groups[ARG_STAR] or groups[ARG_STAR2]: arg_ptrs += [f"&obj_{groups[ARG_STAR][0].name}" if groups[ARG_STAR] else "NULL"] arg_ptrs += [f"&obj_{groups[ARG_STAR2][0].name}" if groups[ARG_STAR2] else "NULL"] arg_ptrs += [f"&obj_{arg.name}" for arg in reordered_args] emitter.emit_lines( 'if (!CPyArg_ParseTupleAndKeywords(args, kw, "{}", "{}", kwlist{})) {{'.format( make_format_string(None, groups), fn.name, "".join(", " + n for n in arg_ptrs) ), "return NULL;", "}", ) for i in range(fn.sig.num_bitmap_args): name = bitmap_name(i) emitter.emit_line(f"{BITMAP_TYPE} {name} = 0;") traceback_code = generate_traceback_code(fn, emitter, source_path, module_name) generate_wrapper_core( fn, emitter, groups[ARG_OPT] + groups[ARG_NAMED_OPT], cleanups=cleanups, traceback_code=traceback_code, ) emitter.emit_line("}") # Specialized wrapper functions def generate_dunder_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for native __dunder__ methods to be able to fit into the mapping protocol slot. This specifically means that the arguments are taken as *PyObjects and returned as *PyObjects. """ gen = WrapperGenerator(cl, emitter) gen.set_target(fn) gen.emit_header() gen.emit_arg_processing() gen.emit_call() gen.finish() return gen.wrapper_name() def generate_ipow_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generate a wrapper for native __ipow__. Since __ipow__ fills a ternary slot, but almost no one defines __ipow__ to take three arguments, the wrapper needs to tweaked to force it to accept three arguments. """ gen = WrapperGenerator(cl, emitter) gen.set_target(fn) assert len(fn.args) in (2, 3), "__ipow__ should only take 2 or 3 arguments" gen.arg_names = ["self", "exp", "mod"] gen.emit_header() gen.emit_arg_processing() handle_third_pow_argument( fn, emitter, gen, if_unsupported=[ 'PyErr_SetString(PyExc_TypeError, "__ipow__ takes 2 positional arguments but 3 were given");', "return NULL;", ], ) gen.emit_call() gen.finish() return gen.wrapper_name() def generate_bin_op_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for a native binary dunder method. The same wrapper that handles the forward method (e.g. __add__) also handles the corresponding reverse method (e.g. __radd__), if defined. Both arguments and the return value are PyObject *. """ gen = WrapperGenerator(cl, emitter) gen.set_target(fn) if fn.name in ("__pow__", "__rpow__"): gen.arg_names = ["left", "right", "mod"] else: gen.arg_names = ["left", "right"] wrapper_name = gen.wrapper_name() gen.emit_header() if fn.name not in reverse_op_methods and fn.name in reverse_op_method_names: # There's only a reverse operator method. generate_bin_op_reverse_only_wrapper(fn, emitter, gen) else: rmethod = reverse_op_methods[fn.name] fn_rev = cl.get_method(rmethod) if fn_rev is None: # There's only a forward operator method. generate_bin_op_forward_only_wrapper(fn, emitter, gen) else: # There's both a forward and a reverse operator method. generate_bin_op_both_wrappers(cl, fn, fn_rev, emitter, gen) return wrapper_name def generate_bin_op_forward_only_wrapper( fn: FuncIR, emitter: Emitter, gen: WrapperGenerator ) -> None: gen.emit_arg_processing(error=GotoHandler("typefail"), raise_exception=False) handle_third_pow_argument(fn, emitter, gen, if_unsupported=["goto typefail;"]) gen.emit_call(not_implemented_handler="goto typefail;") gen.emit_error_handling() emitter.emit_label("typefail") # If some argument has an incompatible type, treat this the same as # returning NotImplemented, and try to call the reverse operator method. # # Note that in normal Python you'd instead of an explicit # return of NotImplemented, but it doesn't generally work here # the body won't be executed at all if there is an argument # type check failure. # # The recommended way is to still use a type check in the # body. This will only be used in interpreted mode: # # def __add__(self, other: int) -> Foo: # if not isinstance(other, int): # return NotImplemented # ... generate_bin_op_reverse_dunder_call(fn, emitter, reverse_op_methods[fn.name]) gen.finish() def generate_bin_op_reverse_only_wrapper( fn: FuncIR, emitter: Emitter, gen: WrapperGenerator ) -> None: gen.arg_names = ["right", "left"] gen.emit_arg_processing(error=GotoHandler("typefail"), raise_exception=False) handle_third_pow_argument(fn, emitter, gen, if_unsupported=["goto typefail;"]) gen.emit_call() gen.emit_error_handling() emitter.emit_label("typefail") emitter.emit_line("Py_INCREF(Py_NotImplemented);") emitter.emit_line("return Py_NotImplemented;") gen.finish() def generate_bin_op_both_wrappers( cl: ClassIR, fn: FuncIR, fn_rev: FuncIR, emitter: Emitter, gen: WrapperGenerator ) -> None: # There's both a forward and a reverse operator method. First # check if we should try calling the forward one. If the # argument type check fails, fall back to the reverse method. # # Similar to above, we can't perfectly match Python semantics. # In regular Python code you'd return NotImplemented if the # operand has the wrong type, but in compiled code we'll never # get to execute the type check. emitter.emit_line( "if (PyObject_IsInstance(obj_left, (PyObject *){})) {{".format( emitter.type_struct_name(cl) ) ) gen.emit_arg_processing(error=GotoHandler("typefail"), raise_exception=False) handle_third_pow_argument(fn, emitter, gen, if_unsupported=["goto typefail2;"]) # Ternary __rpow__ calls aren't a thing so immediately bail # if ternary __pow__ returns NotImplemented. if fn.name == "__pow__" and len(fn.args) == 3: fwd_not_implemented_handler = "goto typefail2;" else: fwd_not_implemented_handler = "goto typefail;" gen.emit_call(not_implemented_handler=fwd_not_implemented_handler) gen.emit_error_handling() emitter.emit_line("}") emitter.emit_label("typefail") emitter.emit_line( "if (PyObject_IsInstance(obj_right, (PyObject *){})) {{".format( emitter.type_struct_name(cl) ) ) gen.set_target(fn_rev) gen.arg_names = ["right", "left"] gen.emit_arg_processing(error=GotoHandler("typefail2"), raise_exception=False) handle_third_pow_argument(fn_rev, emitter, gen, if_unsupported=["goto typefail2;"]) gen.emit_call() gen.emit_error_handling() emitter.emit_line("} else {") generate_bin_op_reverse_dunder_call(fn, emitter, fn_rev.name) emitter.emit_line("}") emitter.emit_label("typefail2") emitter.emit_line("Py_INCREF(Py_NotImplemented);") emitter.emit_line("return Py_NotImplemented;") gen.finish() def generate_bin_op_reverse_dunder_call(fn: FuncIR, emitter: Emitter, rmethod: str) -> None: if fn.name in ("__pow__", "__rpow__"): # Ternary pow() will never call the reverse dunder. emitter.emit_line("if (obj_mod == Py_None) {") emitter.emit_line(f"_Py_IDENTIFIER({rmethod});") emitter.emit_line( 'return CPy_CallReverseOpMethod(obj_left, obj_right, "{}", &PyId_{});'.format( op_methods_to_symbols[fn.name], rmethod ) ) if fn.name in ("__pow__", "__rpow__"): emitter.emit_line("} else {") emitter.emit_line("Py_INCREF(Py_NotImplemented);") emitter.emit_line("return Py_NotImplemented;") emitter.emit_line("}") def handle_third_pow_argument( fn: FuncIR, emitter: Emitter, gen: WrapperGenerator, *, if_unsupported: list[str] ) -> None: if fn.name not in ("__pow__", "__rpow__", "__ipow__"): return if (fn.name in ("__pow__", "__ipow__") and len(fn.args) == 2) or fn.name == "__rpow__": # If the power dunder only supports two arguments and the third # argument (AKA mod) is set to a non-default value, simply bail. # # Importantly, this prevents any ternary __rpow__ calls from # happening (as per the language specification). emitter.emit_line("if (obj_mod != Py_None) {") for line in if_unsupported: emitter.emit_line(line) emitter.emit_line("}") # The slot wrapper will receive three arguments, but the call only # supports two so make sure that the third argument isn't passed # along. This is needed as two-argument __(i)pow__ is allowed and # rather common. if len(gen.arg_names) == 3: gen.arg_names.pop() RICHCOMPARE_OPS = { "__lt__": "Py_LT", "__gt__": "Py_GT", "__le__": "Py_LE", "__ge__": "Py_GE", "__eq__": "Py_EQ", "__ne__": "Py_NE", } def generate_richcompare_wrapper(cl: ClassIR, emitter: Emitter) -> str | None: """Generates a wrapper for richcompare dunder methods.""" # Sort for determinism on Python 3.5 matches = sorted(name for name in RICHCOMPARE_OPS if cl.has_method(name)) if not matches: return None name = f"{DUNDER_PREFIX}_RichCompare_{cl.name_prefix(emitter.names)}" emitter.emit_line( "static PyObject *{name}(PyObject *obj_lhs, PyObject *obj_rhs, int op) {{".format( name=name ) ) emitter.emit_line("switch (op) {") for func in matches: emitter.emit_line(f"case {RICHCOMPARE_OPS[func]}: {{") method = cl.get_method(func) assert method is not None generate_wrapper_core(method, emitter, arg_names=["lhs", "rhs"]) emitter.emit_line("}") emitter.emit_line("}") emitter.emit_line("Py_INCREF(Py_NotImplemented);") emitter.emit_line("return Py_NotImplemented;") emitter.emit_line("}") return name def generate_get_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for native __get__ methods.""" name = f"{DUNDER_PREFIX}{fn.name}{cl.name_prefix(emitter.names)}" emitter.emit_line( "static PyObject *{name}(PyObject *self, PyObject *instance, PyObject *owner) {{".format( name=name ) ) emitter.emit_line("instance = instance ? instance : Py_None;") emitter.emit_line(f"return {NATIVE_PREFIX}{fn.cname(emitter.names)}(self, instance, owner);") emitter.emit_line("}") return name def generate_hash_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for native __hash__ methods.""" name = f"{DUNDER_PREFIX}{fn.name}{cl.name_prefix(emitter.names)}" emitter.emit_line(f"static Py_ssize_t {name}(PyObject *self) {{") emitter.emit_line( "{}retval = {}{}{}(self);".format( emitter.ctype_spaced(fn.ret_type), emitter.get_group_prefix(fn.decl), NATIVE_PREFIX, fn.cname(emitter.names), ) ) emitter.emit_error_check("retval", fn.ret_type, "return -1;") if is_int_rprimitive(fn.ret_type): emitter.emit_line("Py_ssize_t val = CPyTagged_AsSsize_t(retval);") else: emitter.emit_line("Py_ssize_t val = PyLong_AsSsize_t(retval);") emitter.emit_dec_ref("retval", fn.ret_type) emitter.emit_line("if (PyErr_Occurred()) return -1;") # We can't return -1 from a hash function.. emitter.emit_line("if (val == -1) return -2;") emitter.emit_line("return val;") emitter.emit_line("}") return name def generate_len_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for native __len__ methods.""" name = f"{DUNDER_PREFIX}{fn.name}{cl.name_prefix(emitter.names)}" emitter.emit_line(f"static Py_ssize_t {name}(PyObject *self) {{") emitter.emit_line( "{}retval = {}{}{}(self);".format( emitter.ctype_spaced(fn.ret_type), emitter.get_group_prefix(fn.decl), NATIVE_PREFIX, fn.cname(emitter.names), ) ) emitter.emit_error_check("retval", fn.ret_type, "return -1;") if is_int_rprimitive(fn.ret_type): emitter.emit_line("Py_ssize_t val = CPyTagged_AsSsize_t(retval);") else: emitter.emit_line("Py_ssize_t val = PyLong_AsSsize_t(retval);") emitter.emit_dec_ref("retval", fn.ret_type) emitter.emit_line("if (PyErr_Occurred()) return -1;") emitter.emit_line("return val;") emitter.emit_line("}") return name def generate_bool_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for native __bool__ methods.""" name = f"{DUNDER_PREFIX}{fn.name}{cl.name_prefix(emitter.names)}" emitter.emit_line(f"static int {name}(PyObject *self) {{") emitter.emit_line( "{}val = {}{}(self);".format( emitter.ctype_spaced(fn.ret_type), NATIVE_PREFIX, fn.cname(emitter.names) ) ) emitter.emit_error_check("val", fn.ret_type, "return -1;") # This wouldn't be that hard to fix but it seems unimportant and # getting error handling and unboxing right would be fiddly. (And # way easier to do in IR!) assert is_bool_rprimitive(fn.ret_type), "Only bool return supported for __bool__" emitter.emit_line("return val;") emitter.emit_line("}") return name def generate_del_item_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for native __delitem__. This is only called from a combined __delitem__/__setitem__ wrapper. """ name = "{}{}{}".format(DUNDER_PREFIX, "__delitem__", cl.name_prefix(emitter.names)) input_args = ", ".join(f"PyObject *obj_{arg.name}" for arg in fn.args) emitter.emit_line(f"static int {name}({input_args}) {{") generate_set_del_item_wrapper_inner(fn, emitter, fn.args) return name def generate_set_del_item_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for native __setitem__ method (also works for __delitem__). This is used with the mapping protocol slot. Arguments are taken as *PyObjects and we return a negative C int on error. Create a separate wrapper function for __delitem__ as needed and have the __setitem__ wrapper call it if the value is NULL. Return the name of the outer (__setitem__) wrapper. """ method_cls = cl.get_method_and_class("__delitem__") del_name = None if method_cls and method_cls[1] == cl: # Generate a separate wrapper for __delitem__ del_name = generate_del_item_wrapper(cl, method_cls[0], emitter) args = fn.args if fn.name == "__delitem__": # Add an extra argument for value that we expect to be NULL. args = list(args) + [RuntimeArg("___value", object_rprimitive, ARG_POS)] name = "{}{}{}".format(DUNDER_PREFIX, "__setitem__", cl.name_prefix(emitter.names)) input_args = ", ".join(f"PyObject *obj_{arg.name}" for arg in args) emitter.emit_line(f"static int {name}({input_args}) {{") # First check if this is __delitem__ emitter.emit_line(f"if (obj_{args[2].name} == NULL) {{") if del_name is not None: # We have a native implementation, so call it emitter.emit_line(f"return {del_name}(obj_{args[0].name}, obj_{args[1].name});") else: # Try to call superclass method instead emitter.emit_line(f"PyObject *super = CPy_Super(CPyModule_builtins, obj_{args[0].name});") emitter.emit_line("if (super == NULL) return -1;") emitter.emit_line( 'PyObject *result = PyObject_CallMethod(super, "__delitem__", "O", obj_{});'.format( args[1].name ) ) emitter.emit_line("Py_DECREF(super);") emitter.emit_line("Py_XDECREF(result);") emitter.emit_line("return result == NULL ? -1 : 0;") emitter.emit_line("}") method_cls = cl.get_method_and_class("__setitem__") if method_cls and method_cls[1] == cl: generate_set_del_item_wrapper_inner(fn, emitter, args) else: emitter.emit_line(f"PyObject *super = CPy_Super(CPyModule_builtins, obj_{args[0].name});") emitter.emit_line("if (super == NULL) return -1;") emitter.emit_line("PyObject *result;") if method_cls is None and cl.builtin_base is None: msg = f"'{cl.name}' object does not support item assignment" emitter.emit_line(f'PyErr_SetString(PyExc_TypeError, "{msg}");') emitter.emit_line("result = NULL;") else: # A base class may have __setitem__ emitter.emit_line( 'result = PyObject_CallMethod(super, "__setitem__", "OO", obj_{}, obj_{});'.format( args[1].name, args[2].name ) ) emitter.emit_line("Py_DECREF(super);") emitter.emit_line("Py_XDECREF(result);") emitter.emit_line("return result == NULL ? -1 : 0;") emitter.emit_line("}") return name def generate_set_del_item_wrapper_inner( fn: FuncIR, emitter: Emitter, args: Sequence[RuntimeArg] ) -> None: for arg in args: generate_arg_check(arg.name, arg.type, emitter, GotoHandler("fail")) native_args = ", ".join(f"arg_{arg.name}" for arg in args) emitter.emit_line( "{}val = {}{}({});".format( emitter.ctype_spaced(fn.ret_type), NATIVE_PREFIX, fn.cname(emitter.names), native_args ) ) emitter.emit_error_check("val", fn.ret_type, "goto fail;") emitter.emit_dec_ref("val", fn.ret_type) emitter.emit_line("return 0;") emitter.emit_label("fail") emitter.emit_line("return -1;") emitter.emit_line("}") def generate_contains_wrapper(cl: ClassIR, fn: FuncIR, emitter: Emitter) -> str: """Generates a wrapper for a native __contains__ method.""" name = f"{DUNDER_PREFIX}{fn.name}{cl.name_prefix(emitter.names)}" emitter.emit_line(f"static int {name}(PyObject *self, PyObject *obj_item) {{") generate_arg_check("item", fn.args[1].type, emitter, ReturnHandler("-1")) emitter.emit_line( "{}val = {}{}(self, arg_item);".format( emitter.ctype_spaced(fn.ret_type), NATIVE_PREFIX, fn.cname(emitter.names) ) ) emitter.emit_error_check("val", fn.ret_type, "return -1;") if is_bool_rprimitive(fn.ret_type): emitter.emit_line("return val;") else: emitter.emit_line("int boolval = PyObject_IsTrue(val);") emitter.emit_dec_ref("val", fn.ret_type) emitter.emit_line("return boolval;") emitter.emit_line("}") return name # Helpers def generate_wrapper_core( fn: FuncIR, emitter: Emitter, optional_args: list[RuntimeArg] | None = None, arg_names: list[str] | None = None, cleanups: list[str] | None = None, traceback_code: str | None = None, ) -> None: """Generates the core part of a wrapper function for a native function. This expects each argument as a PyObject * named obj_{arg} as a precondition. It converts the PyObject *s to the necessary types, checking and unboxing if necessary, makes the call, then boxes the result if necessary and returns it. """ gen = WrapperGenerator(None, emitter) gen.set_target(fn) if arg_names: gen.arg_names = arg_names gen.cleanups = cleanups or [] gen.optional_args = optional_args or [] gen.traceback_code = traceback_code or "" error = ReturnHandler("NULL") if not gen.use_goto() else GotoHandler("fail") gen.emit_arg_processing(error=error) gen.emit_call() gen.emit_error_handling() def generate_arg_check( name: str, typ: RType, emitter: Emitter, error: ErrorHandler | None = None, *, optional: bool = False, raise_exception: bool = True, bitmap_arg_index: int = 0, ) -> None: """Insert a runtime check for argument and unbox if necessary. The object is named PyObject *obj_{}. This is expected to generate a value of name arg_{} (unboxed if necessary). For each primitive a runtime check ensures the correct type. """ error = error or AssignHandler() if typ.is_unboxed: if typ.error_overlap and optional: # Update bitmap is value is provided. init = emitter.c_undefined_value(typ) emitter.emit_line(f"{emitter.ctype(typ)} arg_{name} = {init};") emitter.emit_line(f"if (obj_{name} != NULL) {{") bitmap = bitmap_name(bitmap_arg_index // BITMAP_BITS) emitter.emit_line(f"{bitmap} |= 1 << {bitmap_arg_index & (BITMAP_BITS - 1)};") emitter.emit_unbox( f"obj_{name}", f"arg_{name}", typ, declare_dest=False, raise_exception=raise_exception, error=error, borrow=True, ) emitter.emit_line("}") else: # Borrow when unboxing to avoid reference count manipulation. emitter.emit_unbox( f"obj_{name}", f"arg_{name}", typ, declare_dest=True, raise_exception=raise_exception, error=error, borrow=True, optional=optional, ) elif is_object_rprimitive(typ): # Object is trivial since any object is valid if optional: emitter.emit_line(f"PyObject *arg_{name};") emitter.emit_line(f"if (obj_{name} == NULL) {{") emitter.emit_line(f"arg_{name} = {emitter.c_error_value(typ)};") emitter.emit_lines("} else {", f"arg_{name} = obj_{name}; ", "}") else: emitter.emit_line(f"PyObject *arg_{name} = obj_{name};") else: emitter.emit_cast( f"obj_{name}", f"arg_{name}", typ, declare_dest=True, raise_exception=raise_exception, error=error, optional=optional, ) class WrapperGenerator: """Helper that simplifies the generation of wrapper functions.""" # TODO: Use this for more wrappers def __init__(self, cl: ClassIR | None, emitter: Emitter) -> None: self.cl = cl self.emitter = emitter self.cleanups: list[str] = [] self.optional_args: list[RuntimeArg] = [] self.traceback_code = "" def set_target(self, fn: FuncIR) -> None: """Set the wrapped function. It's fine to modify the attributes initialized here later to customize the wrapper function. """ self.target_name = fn.name self.target_cname = fn.cname(self.emitter.names) self.num_bitmap_args = fn.sig.num_bitmap_args if self.num_bitmap_args: self.args = fn.args[: -self.num_bitmap_args] else: self.args = fn.args self.arg_names = [arg.name for arg in self.args] self.ret_type = fn.ret_type def wrapper_name(self) -> str: """Return the name of the wrapper function.""" return "{}{}{}".format( DUNDER_PREFIX, self.target_name, self.cl.name_prefix(self.emitter.names) if self.cl else "", ) def use_goto(self) -> bool: """Do we use a goto for error handling (instead of straight return)?""" return bool(self.cleanups or self.traceback_code) def emit_header(self) -> None: """Emit the function header of the wrapper implementation.""" input_args = ", ".join(f"PyObject *obj_{arg}" for arg in self.arg_names) self.emitter.emit_line( "static PyObject *{name}({input_args}) {{".format( name=self.wrapper_name(), input_args=input_args ) ) def emit_arg_processing( self, error: ErrorHandler | None = None, raise_exception: bool = True ) -> None: """Emit validation and unboxing of arguments.""" error = error or self.error() bitmap_arg_index = 0 for arg_name, arg in zip(self.arg_names, self.args): # Suppress the argument check for *args/**kwargs, since we know it must be right. typ = arg.type if arg.kind not in (ARG_STAR, ARG_STAR2) else object_rprimitive optional = arg in self.optional_args generate_arg_check( arg_name, typ, self.emitter, error, raise_exception=raise_exception, optional=optional, bitmap_arg_index=bitmap_arg_index, ) if optional and typ.error_overlap: bitmap_arg_index += 1 def emit_call(self, not_implemented_handler: str = "") -> None: """Emit call to the wrapper function. If not_implemented_handler is non-empty, use this C code to handle a NotImplemented return value (if it's possible based on the return type). """ native_args = ", ".join(f"arg_{arg}" for arg in self.arg_names) if self.num_bitmap_args: bitmap_args = ", ".join( [bitmap_name(i) for i in reversed(range(self.num_bitmap_args))] ) native_args = f"{native_args}, {bitmap_args}" ret_type = self.ret_type emitter = self.emitter if ret_type.is_unboxed or self.use_goto(): # TODO: The Py_RETURN macros return the correct PyObject * with reference count # handling. Are they relevant? emitter.emit_line( "{}retval = {}{}({});".format( emitter.ctype_spaced(ret_type), NATIVE_PREFIX, self.target_cname, native_args ) ) emitter.emit_lines(*self.cleanups) if ret_type.is_unboxed: emitter.emit_error_check("retval", ret_type, "return NULL;") emitter.emit_box("retval", "retbox", ret_type, declare_dest=True) emitter.emit_line("return {};".format("retbox" if ret_type.is_unboxed else "retval")) else: if not_implemented_handler and not isinstance(ret_type, RInstance): # The return value type may overlap with NotImplemented. emitter.emit_line( "PyObject *retbox = {}{}({});".format( NATIVE_PREFIX, self.target_cname, native_args ) ) emitter.emit_lines( "if (retbox == Py_NotImplemented) {", not_implemented_handler, "}", "return retbox;", ) else: emitter.emit_line(f"return {NATIVE_PREFIX}{self.target_cname}({native_args});") # TODO: Tracebacks? def error(self) -> ErrorHandler: """Figure out how to deal with errors in the wrapper.""" if self.cleanups or self.traceback_code: # We'll have a label at the end with error handling code. return GotoHandler("fail") else: # Nothing special needs to done to handle errors, so just return. return ReturnHandler("NULL") def emit_error_handling(self) -> None: """Emit error handling block at the end of the wrapper, if needed.""" emitter = self.emitter if self.use_goto(): emitter.emit_label("fail") emitter.emit_lines(*self.cleanups) if self.traceback_code: emitter.emit_line(self.traceback_code) emitter.emit_line("return NULL;") def finish(self) -> None: self.emitter.emit_line("}") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/codegen/literals.py0000644000175100017510000002461315112307767017223 0ustar00runnerrunnerfrom __future__ import annotations from typing import Final, Union from typing_extensions import TypeGuard # Supported Python literal types. All tuple / frozenset items must have supported # literal types as well, but we can't represent the type precisely. LiteralValue = Union[ str, bytes, int, bool, float, complex, tuple[object, ...], frozenset[object], None ] def _is_literal_value(obj: object) -> TypeGuard[LiteralValue]: return isinstance(obj, (str, bytes, int, float, complex, tuple, frozenset, type(None))) # Some literals are singletons and handled specially (None, False and True) NUM_SINGLETONS: Final = 3 class Literals: """Collection of literal values used in a compilation group and related helpers.""" def __init__(self) -> None: # Each dict maps value to literal index (0, 1, ...) self.str_literals: dict[str, int] = {} self.bytes_literals: dict[bytes, int] = {} self.int_literals: dict[int, int] = {} self.float_literals: dict[float, int] = {} self.complex_literals: dict[complex, int] = {} self.tuple_literals: dict[tuple[object, ...], int] = {} self.frozenset_literals: dict[frozenset[object], int] = {} def record_literal(self, value: LiteralValue) -> None: """Ensure that the literal value is available in generated code.""" if value is None or value is True or value is False: # These are special cased and always present return if isinstance(value, str): str_literals = self.str_literals if value not in str_literals: str_literals[value] = len(str_literals) elif isinstance(value, bytes): bytes_literals = self.bytes_literals if value not in bytes_literals: bytes_literals[value] = len(bytes_literals) elif isinstance(value, int): int_literals = self.int_literals if value not in int_literals: int_literals[value] = len(int_literals) elif isinstance(value, float): float_literals = self.float_literals if value not in float_literals: float_literals[value] = len(float_literals) elif isinstance(value, complex): complex_literals = self.complex_literals if value not in complex_literals: complex_literals[value] = len(complex_literals) elif isinstance(value, tuple): tuple_literals = self.tuple_literals if value not in tuple_literals: for item in value: assert _is_literal_value(item) self.record_literal(item) tuple_literals[value] = len(tuple_literals) elif isinstance(value, frozenset): frozenset_literals = self.frozenset_literals if value not in frozenset_literals: for item in value: assert _is_literal_value(item) self.record_literal(item) frozenset_literals[value] = len(frozenset_literals) else: assert False, "invalid literal: %r" % value def literal_index(self, value: LiteralValue) -> int: """Return the index to the literals array for given value.""" # The array contains first None and booleans, followed by all str values, # followed by bytes values, etc. if value is None: return 0 elif value is False: return 1 elif value is True: return 2 n = NUM_SINGLETONS if isinstance(value, str): return n + self.str_literals[value] n += len(self.str_literals) if isinstance(value, bytes): return n + self.bytes_literals[value] n += len(self.bytes_literals) if isinstance(value, int): return n + self.int_literals[value] n += len(self.int_literals) if isinstance(value, float): return n + self.float_literals[value] n += len(self.float_literals) if isinstance(value, complex): return n + self.complex_literals[value] n += len(self.complex_literals) if isinstance(value, tuple): return n + self.tuple_literals[value] n += len(self.tuple_literals) if isinstance(value, frozenset): return n + self.frozenset_literals[value] assert False, "invalid literal: %r" % value def num_literals(self) -> int: # The first three are for None, True and False return ( NUM_SINGLETONS + len(self.str_literals) + len(self.bytes_literals) + len(self.int_literals) + len(self.float_literals) + len(self.complex_literals) + len(self.tuple_literals) + len(self.frozenset_literals) ) # The following methods return the C encodings of literal values # of different types def encoded_str_values(self) -> list[bytes]: return _encode_str_values(self.str_literals) def encoded_int_values(self) -> list[bytes]: return _encode_int_values(self.int_literals) def encoded_bytes_values(self) -> list[bytes]: return _encode_bytes_values(self.bytes_literals) def encoded_float_values(self) -> list[str]: return _encode_float_values(self.float_literals) def encoded_complex_values(self) -> list[str]: return _encode_complex_values(self.complex_literals) def encoded_tuple_values(self) -> list[str]: return self._encode_collection_values(self.tuple_literals) def encoded_frozenset_values(self) -> list[str]: return self._encode_collection_values(self.frozenset_literals) def _encode_collection_values( self, values: dict[tuple[object, ...], int] | dict[frozenset[object], int] ) -> list[str]: """Encode tuple/frozenset values into a C array. The format of the result is like this: ... ... """ value_by_index = {index: value for value, index in values.items()} result = [] count = len(values) result.append(str(count)) for i in range(count): value = value_by_index[i] result.append(str(len(value))) for item in value: assert _is_literal_value(item) index = self.literal_index(item) result.append(str(index)) return result def _encode_str_values(values: dict[str, int]) -> list[bytes]: value_by_index = {index: value for value, index in values.items()} result = [] line: list[bytes] = [] line_len = 0 for i in range(len(values)): value = value_by_index[i] c_literal = format_str_literal(value) c_len = len(c_literal) if line_len > 0 and line_len + c_len > 70: result.append(format_int(len(line)) + b"".join(line)) line = [] line_len = 0 line.append(c_literal) line_len += c_len if line: result.append(format_int(len(line)) + b"".join(line)) result.append(b"") return result def _encode_bytes_values(values: dict[bytes, int]) -> list[bytes]: value_by_index = {index: value for value, index in values.items()} result = [] line: list[bytes] = [] line_len = 0 for i in range(len(values)): value = value_by_index[i] c_init = format_int(len(value)) c_len = len(c_init) + len(value) if line_len > 0 and line_len + c_len > 70: result.append(format_int(len(line)) + b"".join(line)) line = [] line_len = 0 line.append(c_init + value) line_len += c_len if line: result.append(format_int(len(line)) + b"".join(line)) result.append(b"") return result def format_int(n: int) -> bytes: """Format an integer using a variable-length binary encoding.""" if n < 128: a = [n] else: a = [] while n > 0: a.insert(0, n & 0x7F) n >>= 7 for i in range(len(a) - 1): # If the highest bit is set, more 7-bit digits follow a[i] |= 0x80 return bytes(a) def format_str_literal(s: str) -> bytes: utf8 = s.encode("utf-8", errors="surrogatepass") return format_int(len(utf8)) + utf8 def _encode_int_values(values: dict[int, int]) -> list[bytes]: """Encode int values into C strings. Values are stored in base 10 and separated by 0 bytes. """ value_by_index = {index: value for value, index in values.items()} result = [] line: list[bytes] = [] line_len = 0 for i in range(len(values)): value = value_by_index[i] encoded = b"%d" % value if line_len > 0 and line_len + len(encoded) > 70: result.append(format_int(len(line)) + b"\0".join(line)) line = [] line_len = 0 line.append(encoded) line_len += len(encoded) if line: result.append(format_int(len(line)) + b"\0".join(line)) result.append(b"") return result def float_to_c(x: float) -> str: """Return C literal representation of a float value.""" s = str(x) if s == "inf": return "INFINITY" elif s == "-inf": return "-INFINITY" elif s == "nan": return "NAN" return s def _encode_float_values(values: dict[float, int]) -> list[str]: """Encode float values into a C array values. The result contains the number of values followed by individual values. """ value_by_index = {index: value for value, index in values.items()} result = [] num = len(values) result.append(str(num)) for i in range(num): value = value_by_index[i] result.append(float_to_c(value)) return result def _encode_complex_values(values: dict[complex, int]) -> list[str]: """Encode float values into a C array values. The result contains the number of values followed by pairs of doubles representing complex numbers. """ value_by_index = {index: value for value, index in values.items()} result = [] num = len(values) result.append(str(num)) for i in range(num): value = value_by_index[i] result.append(float_to_c(value.real)) result.append(float_to_c(value.imag)) return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/common.py0000644000175100017510000001112415112307767015261 0ustar00runnerrunnerfrom __future__ import annotations import sys import sysconfig from typing import Any, Final from mypy.util import unnamed_function PREFIX: Final = "CPyPy_" # Python wrappers NATIVE_PREFIX: Final = "CPyDef_" # Native functions etc. DUNDER_PREFIX: Final = "CPyDunder_" # Wrappers for exposing dunder methods to the API REG_PREFIX: Final = "cpy_r_" # Registers STATIC_PREFIX: Final = "CPyStatic_" # Static variables (for literals etc.) TYPE_PREFIX: Final = "CPyType_" # Type object struct MODULE_PREFIX: Final = "CPyModule_" # Cached modules TYPE_VAR_PREFIX: Final = "CPyTypeVar_" # Type variables when using new-style Python 3.12 syntax ATTR_PREFIX: Final = "_" # Attributes FAST_PREFIX: Final = "__mypyc_fast_" # Optimized methods in non-extension classes ENV_ATTR_NAME: Final = "__mypyc_env__" NEXT_LABEL_ATTR_NAME: Final = "__mypyc_next_label__" TEMP_ATTR_NAME: Final = "__mypyc_temp__" LAMBDA_NAME: Final = "__mypyc_lambda__" PROPSET_PREFIX: Final = "__mypyc_setter__" SELF_NAME: Final = "__mypyc_self__" GENERATOR_ATTRIBUTE_PREFIX: Final = "__mypyc_generator_attribute__" # Max short int we accept as a literal is based on 32-bit platforms, # so that we can just always emit the same code. TOP_LEVEL_NAME: Final = "__top_level__" # Special function representing module top level # Maximal number of subclasses for a class to trigger fast path in isinstance() checks. FAST_ISINSTANCE_MAX_SUBCLASSES: Final = 2 # Size of size_t, if configured. SIZEOF_SIZE_T_SYSCONFIG: Final = sysconfig.get_config_var("SIZEOF_SIZE_T") SIZEOF_SIZE_T: Final = ( int(SIZEOF_SIZE_T_SYSCONFIG) if SIZEOF_SIZE_T_SYSCONFIG is not None else (sys.maxsize + 1).bit_length() // 8 ) IS_32_BIT_PLATFORM: Final = int(SIZEOF_SIZE_T) == 4 PLATFORM_SIZE = 4 if IS_32_BIT_PLATFORM else 8 # Maximum value for a short tagged integer. MAX_SHORT_INT: Final = 2 ** (8 * int(SIZEOF_SIZE_T) - 2) - 1 # Minimum value for a short tagged integer. MIN_SHORT_INT: Final = -(MAX_SHORT_INT) - 1 # Maximum value for a short tagged integer represented as a C integer literal. # # Note: Assume that the compiled code uses the same bit width as mypyc MAX_LITERAL_SHORT_INT: Final = MAX_SHORT_INT MIN_LITERAL_SHORT_INT: Final = -MAX_LITERAL_SHORT_INT - 1 # Description of the C type used to track the definedness of attributes and # the presence of argument default values that have types with overlapping # error values. Each tracked attribute/argument has a dedicated bit in the # relevant bitmap. BITMAP_TYPE: Final = "uint32_t" BITMAP_BITS: Final = 32 # Runtime C library files RUNTIME_C_FILES: Final = [ "init.c", "getargs.c", "getargsfast.c", "int_ops.c", "float_ops.c", "str_ops.c", "bytes_ops.c", "list_ops.c", "dict_ops.c", "set_ops.c", "tuple_ops.c", "exc_ops.c", "misc_ops.c", "generic_ops.c", "pythonsupport.c", ] # Python 3.12 introduced immortal objects, specified via a special reference count # value. The reference counts of immortal objects are normally not modified, but it's # not strictly wrong to modify them. See PEP 683 for more information, but note that # some details in the PEP are out of date. HAVE_IMMORTAL: Final = sys.version_info >= (3, 12) # Are we running on a free-threaded build (GIL disabled)? This implies that # we are on Python 3.13 or later. IS_FREE_THREADED: Final = bool(sysconfig.get_config_var("Py_GIL_DISABLED")) JsonDict = dict[str, Any] def shared_lib_name(group_name: str) -> str: """Given a group name, return the actual name of its extension module. (This just adds a suffix to the final component.) """ return f"{group_name}__mypyc" def short_name(name: str) -> str: if name.startswith("builtins."): return name[9:] return name def get_id_from_name(name: str, fullname: str, line: int) -> str: """Create a unique id for a function. This creates an id that is unique for any given function definition, so that it can be used as a dictionary key. This is usually the fullname of the function, but this is different in that it handles the case where the function is named '_', in which case multiple different functions could have the same name.""" if unnamed_function(name): return f"{fullname}.{line}" else: return fullname def short_id_from_name(func_name: str, shortname: str, line: int | None) -> str: if unnamed_function(func_name): assert line is not None partial_name = f"{shortname}.{line}" else: partial_name = shortname return partial_name def bitmap_name(index: int) -> str: if index == 0: return "__bitmap" return f"__bitmap{index + 1}" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/crash.py0000644000175100017510000000167115112307767015077 0ustar00runnerrunnerfrom __future__ import annotations import sys import traceback from collections.abc import Iterator from contextlib import contextmanager from typing import NoReturn @contextmanager def catch_errors(module_path: str, line: int) -> Iterator[None]: try: yield except Exception: crash_report(module_path, line) def crash_report(module_path: str, line: int) -> NoReturn: # Adapted from report_internal_error in mypy err = sys.exc_info()[1] tb = traceback.extract_stack()[:-4] # Excise all the traceback from the test runner for i, x in enumerate(tb): if x.name == "pytest_runtest_call": tb = tb[i + 1 :] break tb2 = traceback.extract_tb(sys.exc_info()[2])[1:] print("Traceback (most recent call last):") for s in traceback.format_list(tb + tb2): print(s.rstrip("\n")) print(f"{module_path}:{line}: {type(err).__name__}: {err}") raise SystemExit(2) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6307657 mypy-1.19.0/mypyc/doc/0000755000175100017510000000000015112310012014136 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/Makefile0000644000175100017510000000117215112307767015626 0ustar00runnerrunner# Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = . BUILDDIR = _build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/bool_operations.rst0000644000175100017510000000056515112307767020123 0ustar00runnerrunner.. _bool-ops: Native boolean operations ========================= Operations on ``bool`` values that are listed here have fast, optimized implementations. Construction ------------ * ``True`` * ``False`` * ``bool(obj)`` Operators --------- * ``b1 and b2`` * ``b1 or b2`` * ``not b`` Functions --------- * ``any(expr for ... in ...)`` * ``all(expr for ... in ...)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/bytes_operations.rst0000644000175100017510000000144115112307767020310 0ustar00runnerrunner.. _bytes-ops: Native bytes operations ======================== These ``bytes`` operations have fast, optimized implementations. Other bytes operations use generic implementations that are often slower. Construction ------------ * Bytes literal * ``bytes(x: list)`` Operators --------- * Concatenation (``b1 + b2``) * Indexing (``b[n]``) * Slicing (``b[n:m]``, ``b[n:]``, ``b[:m]``) * Comparisons (``==``, ``!=``) .. _bytes-methods: Methods ------- * ``b.decode()`` * ``b.decode(encoding: str)`` * ``b.decode(encoding: str, errors: str)`` * ``b.join(x: Iterable)`` .. note:: :ref:`str.encode() ` is also optimized. Formatting ---------- A subset of % formatting operations are optimized (``b"..." % (...)``). Functions --------- * ``len(b: bytes)`` * ``ord(b: bytes)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/compilation_units.rst0000644000175100017510000000147215112307767020463 0ustar00runnerrunner.. _compilation-units: Compilation units ================= When you run mypyc to compile a set of modules, these modules form a *compilation unit*. Mypyc will use early binding for references within the compilation unit. If you run mypyc multiple times to compile multiple sets of modules, each invocation will result in a new compilation unit. References between separate compilation units will fall back to late binding, i.e. looking up names using Python namespace dictionaries. Also, all calls will use the slower Python calling convention, where arguments and the return value will be boxed (and potentially unboxed again in the called function). For maximal performance, minimize interactions across compilation units. The simplest way to achieve this is to compile your entire program as a single compilation unit. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/conf.py0000644000175100017510000000420015112307767015460 0ustar00runnerrunner# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html from __future__ import annotations import os import sys # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. sys.path.insert(0, os.path.abspath("../..")) from mypy.version import __version__ as mypy_version # -- Project information ----------------------------------------------------- project = "mypyc" copyright = "2020-2022, mypyc team" author = "mypyc team" # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = mypy_version.split("-")[0] # The full version, including alpha/beta/rc tags. release = mypy_version # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions: list[str] = [] # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"] # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = "furo" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ["_static"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/cpython-timings.md0000644000175100017510000000147615112307767017653 0ustar00runnerrunner# Timings of CPython Operations Here are some *very rough* approximate timings of CPython interpreter operations: * `f(1)` (empty function body): 70-90ns * `f(n=1)` (empty function body): 90-110ns * `o.x`: 30-40ns * `o.f(1)` (empty method body): 80-160ns * `Cls(1)` (initialize attribute in `__init__`): 290-330ns * `x + y` (integers): 20-35ns * `a[i]` (list) : 20-40ns * `[i]` (also dealloc): 35-55ns * `a.append(i)` (list, average over 5 appends): 70ns * `d[s]` (dict, shared str key): 20ns * `d[s] = i` (dict, shared str key): 40ns * `isinstance(x, A)`: 100ns * `(x, y)`: 20-35ns * `x, y = t` (tuple expand): 10ns Note that these results are very imprecise due to many factors, but these should give a rough idea of the relative costs of various operations. Details: CPython 3.6.2, Macbook Pro 15" (Mid 2015), macOS Sierra ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/dev-intro.md0000644000175100017510000006306315112307767016426 0ustar00runnerrunner# Introduction for Mypyc Contributors This is a short introduction aimed at anybody who is interested in contributing to mypyc, or anybody who is curious to understand how mypyc works internally. ## Developer Documentation in the Wiki We have more mypyc developer documentation in our [wiki](https://github.com/python/mypy/wiki/Developer-Guides). For basic information common to both mypy and mypyc development, refer to the [mypy wiki home page](https://github.com/python/mypy/wiki). ## Key Differences from Python Code compiled using mypyc is often much faster than CPython since it does these things differently: * Mypyc generates C that is compiled to native code, instead of compiling to interpreted byte code, which CPython uses. Interpreted byte code always has some interpreter overhead, which slows things down. * Mypyc doesn't let you arbitrarily monkey patch classes and functions in compiled modules. This allows *early binding* -- mypyc statically binds calls to compiled functions, instead of going through a namespace dictionary. Mypyc can also call methods of compiled classes using vtables, which are more efficient than dictionary lookups used by CPython. * Mypyc compiles classes to C extension classes, which are generally more efficient than normal Python classes. They use an efficient, fixed memory representation (essentially a C struct). This lets us use direct memory access instead of (typically) two hash table lookups to access an attribute. * As a result of early binding, compiled code can use C calls to call compiled functions. Keyword arguments can be translated to positional arguments during compilation. Thus most calls to native functions and methods directly map to simple C calls. CPython calls are quite expensive, since mapping of keyword arguments, `*args`, and so on has to mostly happen at runtime. * Compiled code has runtime type checks to ensure that runtimes types match the declared static types. Compiled code can thus make assumptions about the types of expressions, resulting in both faster and smaller code, since many runtime type checks performed by the CPython interpreter can be omitted. * Compiled code can often use unboxed (not heap allocated) representations for integers, booleans and tuples. ## Supported Python Features Mypyc supports a large subset of Python. Note that if you try to compile something that is not supported, you may not always get a very good error message. Here are some major things that aren't yet supported in compiled code: * Some dunder methods (most work though) * Monkey patching compiled functions or classes * General multiple inheritance (a limited form is supported) We are generally happy to accept contributions that implement new Python features. ## Development Environment First you should set up the mypy development environment as described in the [mypy docs](https://github.com/python/mypy/blob/master/README.md). macOS, Linux and Windows are supported. ## Compiling and Running Programs When working on a mypyc feature or a fix, you'll often need to run compiled code. For example, you may want to do interactive testing or to run benchmarks. This is also handy if you want to inspect the generated C code (see Inspecting Generated C). Run `python -m mypyc` to compile a module to a C extension using your development version of mypyc: ``` $ python -m mypyc program.py ``` This will generate a C extension for `program` in the current working directory. For example, on a macOS system the generated file may be called `program.cpython-313-darwin.so`. Since C extensions can't be run as programs, use `python3 -c` to run the compiled module as a program: ``` $ python3 -c "import program" ``` Note that `__name__` in `program.py` will now be `program`, not `__main__`! You can manually delete the C extension to get back to an interpreted version (this example works on macOS or Linux): ``` $ rm program.*.so ``` Another option is to invoke mypyc through tests (see Testing below). ## High-level Overview of Mypyc Mypyc compiles a Python module (or a set of modules) to C, and compiles the generated C to a Python C extension module (or modules). You can compile only a subset of your program to C -- compiled and interpreted code can freely and transparently interact. You can also freely use any Python libraries (including C extensions) in compiled code. Mypyc will only make compiled code faster. To see a significant speedup, you must make sure that most of the time is spent in compiled code, and not in libraries or I/O. Mypyc has these main passes: * Type check the code using mypy and infer types for variables and expressions. This produces a mypy AST (defined in `mypy.nodes`) and a type map that describes the inferred types (`mypy.types.Type`) of all expressions (as PEP 484 types). * Translate the mypy AST into a mypyc-specific intermediate representation (IR). * The IR is defined in `mypyc.ir` (see below for an explanation of the IR). * Various primitive operations used in the IR are defined in `mypyc.primitives`. * The translation to IR happens in `mypyc.irbuild`. The top-level logic is in `mypyc.irbuild.main`. * Insert checks for uses of potentially uninitialized variables (`mypyc.transform.uninit`). * Insert exception handling (`mypyc.transform.exceptions`). * Insert explicit reference count inc/dec opcodes (`mypyc.transform.refcount`). * Translate the IR into C (`mypyc.codegen`). * Compile the generated C code using a C compiler (`mypyc.build`). ## Useful Background Information Beyond the mypy documentation, here are some things that are helpful to know for mypyc contributors: * Experience with C ([The C Programming Language](https://en.wikipedia.org/wiki/The_C_Programming_Language) is a classic book about C) * Basic familiarity with the Python C API (see [Python C API documentation](https://docs.python.org/3/c-api/intro.html)). [Extending and Embedding the Python Interpreter](https://docs.python.org/3/extending/index.html) is a good tutorial for beginners. * Basics of compilers (see the [mypy wiki](https://github.com/python/mypy/wiki/Learning-Resources) for some ideas) ## Mypyc Intermediate Representation (IR) The mypyc IR is defined in `mypyc.ir`. It covers several key concepts that are essential to understand by all mypyc contributors: * `mypyc.ir.ops.Op` is an Abstract Base Class for all IR operations. These are low-level and generally map to simple fragments of C each. Mypy expressions are translated to linear sequences of these ops. * `mypyc.ir.ops.BasicBlock` is a container of a sequence of ops with a branch/goto/return at the end, and no branch/goto/return ops in the middle. Each function is compiled to a bunch of basic blocks. * `mypyc.ir.rtypes.RType` and its subclasses are the types used for everything in the IR. These are lower-level and simpler than mypy or PEP 484 types. For example, there are no general-purpose generic types types here. Each `List[X]` type (for any `X`) is represented by a single `list` type, for example. * Primitive types are special RTypes of which mypyc has some special understanding, and there are typically some specialized ops. Examples include `int` (referred to as `int_rprimitive` in the code) and `list` (`list_rprimitive`). Python types for which there is no specific RType type will be represented by the catch-all `object_rprimitive` type. * Instances of compiled classes are generally represented using the `RInstance` type. Classes are compiled to C extension classes and contain vtables for fast method calls and fast attribute access. * IR representations of functions and classes live in `mypyc.ir.func_ir` and `mypyc.ir.class_ir`, respectively. Look at the docstrings and comments in `mypyc.ir` for additional information. See the test cases in `mypyc/test-data/irbuild-basic.test` for examples of what the IR looks like in a pretty-printed form. ## Testing Overview Most mypyc test cases are defined in the same format (`.test`) as used for test cases for mypy. Look at mypy developer documentation for a general overview of how things work. Test cases live under `mypyc/test-data/`, and you can run all mypyc tests via `pytest mypyc`. If you don't make changes to code under `mypy/`, it's not important to regularly run mypy tests during development. You can use `python runtests.py mypyc-fast` to run a subset of mypyc tests that covers most functionality but runs significantly quicker than the entire test suite. When you create a PR, we have Continuous Integration jobs set up that compile mypy using mypyc and run the mypy test suite using the compiled mypy. This will sometimes catch additional issues not caught by the mypyc test suite. It's okay to not do this in your local development environment. We discuss writing tests in more detail later in this document. ## Inspecting Generated IR It's often useful to look at the generated IR when debugging issues or when trying to understand how mypyc compiles some code. When you compile some module by running `mypyc`, mypyc will write the pretty-printed IR into `build/ops.txt`. This is the final IR that includes the output from exception and reference count handling insertion passes. We also have tests that verify the generated IR (`mypyc/test-data/irbuild-*.text`). ## Type-checking Mypyc `./runtests.py self` type checks mypy and mypyc. This is a little slow, however, since it's using an uncompiled mypy. Installing a released version of mypy using `pip` (which is compiled) and using `dmypy` (mypy daemon) is a much, much faster way to type check mypyc during development. ## Value Representation Mypyc uses a tagged pointer representation for values of type `int` (`CPyTagged`), `char` for booleans, and C structs for tuples. For most other objects mypyc uses the CPython `PyObject *`. Python integers that fit in 31/63 bits (depending on whether we are on a 32-bit or 64-bit platform) are represented as C integers (`CPyTagged`) shifted left by 1. Integers that don't fit in this representation are represented as pointers to a `PyObject *` (this is always a Python `int` object) with the least significant bit set. Tagged integer operations are defined in `mypyc/lib-rt/int_ops.c` and `mypyc/lib-rt/CPy.h`. There are also low-level integer types, such as `int32` (see `mypyc.ir.rtypes`), that don't use the tagged representation. These types are not exposed to users, but they are used in generated code. ## Overview of Generated C Mypyc compiles a function into two functions, a native function and a wrapper function: * The native function takes a fixed number of C arguments with the correct C types. It assumes that all argument have correct types. * The wrapper function conforms to the Python C API calling convention and takes an arbitrary set of arguments. It processes the arguments, checks their types, unboxes values with special representations and calls the native function. The return value from the native function is translated back to a Python object ("boxing"). Calls to other compiled functions don't go through the Python module namespace but directly call the target native C function. This makes calls very fast compared to CPython. The generated code does runtime checking so that it can assume that values always have the declared types. Whenever accessing CPython values which might have unexpected types we need to insert a runtime type check operation. For example, when getting a list item we need to insert a runtime type check (an unbox or a cast operation), since Python lists can contain arbitrary objects. The generated code uses various helpers defined in `mypyc/lib-rt/CPy.h`. The implementations are in various `.c` files under `mypyc/lib-rt`. ## Inspecting Generated C It's often useful to inspect the C code generated by mypyc to debug issues. Mypyc stores the generated C code as `build/__native.c`. Compiled native functions have the prefix `CPyDef_`, while wrapper functions used for calling functions from interpreted Python code have the `CPyPy_` prefix. When running a test, the first test failure will copy generated C code into the `.mypyc_test_output` directory. You will see something like this in the test output: ``` ... ---------------------------- Captured stderr call ----------------------------- Generated files: /Users/me/src/mypy/.mypyc_test_output (for first failure only) ... ``` You can also run pytest with `--mypyc-showc` to display C code on every test failure. ## Other Important Limitations All of these limitations will likely be fixed in the future: * We don't detect stack overflows. * We don't handle Ctrl-C in compiled code. ## Hints for Implementing Typical Mypyc Features This section gives an overview of where to look for and what to do to implement specific kinds of mypyc features. ### Testing Our bread-and-butter testing strategy is compiling code with mypyc and running it. There are downsides to this (kind of slow, tests a huge number of components at once, insensitive to the particular details of the IR), but there really is no substitute for running code. You can also write tests that test the generated IR, however. ### Tests That Compile and Run Code Test cases that compile and run code are located in `mypyc/test-data/run*.test` and the test runner is in `mypyc.test.test_run`. The code to compile comes after `[case test]`. The code gets saved into the file `native.py`, and it gets compiled into the module `native`. Each test case uses a non-compiled Python driver that imports the `native` module and typically calls some compiled functions. Some tests also perform assertions and print messages in the driver. If you don't provide a driver, a default driver is used. The default driver just calls each module-level function that is prefixed with `test_` and reports any uncaught exceptions as failures. (Failure to build or a segfault also count as failures.) `testStringOps` in `mypyc/test-data/run-strings.test` is an example of a test that uses the default driver. You should usually use the default driver (don't include `driver.py`). It's the simplest way to write most tests. Here's an example test case that uses the default driver: ``` [case testConcatenateLists] def test_concat_lists() -> None: assert [1, 2] + [5, 6] == [1, 2, 5, 6] def test_concat_empty_lists() -> None: assert [] + [] == [] ``` There is one test case, `testConcatenateLists`. It has two sub-cases, `test_concat_lists` and `test_concat_empty_lists`. Note that you can use the pytest -k argument to only run `testConcetanateLists`, but you can't filter tests at the sub-case level. It's recommended to have multiple sub-cases per test case, since each test case has significant fixed overhead. Each test case is run in a fresh Python subprocess. Many of the existing test cases provide a custom driver by having `[file driver.py]`, followed by the driver implementation. Here the driver is not compiled, which is useful if you want to test interactions between compiled and non-compiled code. However, many of the tests don't have a good reason to use a custom driver -- when they were written, the default driver wasn't available. Test cases can also have a `[out]` section, which specifies the expected contents of stdout the test case should produce. New test cases should prefer assert statements to `[out]` sections. ### Adding Debug Prints and Editing Generated C Sometimes it's helpful to add some debug prints or other debugging helpers to the generated C code. You can run mypyc using `--skip-c-gen` to skip the C generation step, so all manual changes to C files are preserved. Here is an example of how to use the workflow: * Compile some file you want to debug: `python -m mypyc foo.py`. * Add debug prints to the generated C in `build/__native.c`. * Run the same compilation command line again, but add `--skip-c-gen`: `python -m mypyc --skip-c-gen foo.py`. This will only rebuild the binaries. * Run the compiled code, including your changes: `python -c 'import foo'`. You should now see the output from the debug prints you added. This can also be helpful if you want to quickly experiment with different implementation techniques, without having to first figure out how to modify mypyc to generate the desired C code. ### Debugging Segfaults If you experience a segfault, it's recommended to use a debugger that supports C, such as gdb or lldb, to look into the segfault. If a test case segfaults, you can run tests using the debugger, so you can inspect the stack. Example of inspecting the C stack when a test case segfaults (user input after `$` and `(gdb)` prompts): ``` $ pytest mypyc -n0 -s --mypyc-debug=gdb -k ... (gdb) r ... Program received signal SIGSEGV, Segmentation fault. ... (gdb) bt #0 0x00005555556ed1a2 in _PyObject_HashFast (op=0x0) at ./Include/object.h:336 #1 PyDict_GetItemWithError (op=0x7ffff6c894c0, key=0x0) at Objects/dictobject.c:2394 ... ``` You must use `-n0 -s` to enable interactive input to the debugger. Instead of `gdb`, you can also try `lldb` (especially on macOS). To get better C stack tracebacks and more assertions in the Python runtime, you can build Python in debug mode and use that to run tests, or to manually run the debugger outside the test framework. **Note:** You may need to build Python yourself on macOS, as official Python builds may not have sufficient entitlements to use a debugger. Here are some hints about building a debug version of CPython that may help (for Ubuntu, macOS is mostly similar except for installing build dependencies): ``` $ sudo apt install gdb build-essential libncursesw5-dev libssl-dev libgdbm-dev libc6-dev libsqlite3-dev libbz2-dev libffi-dev libgdbm-compat-dev $ $ cd Python-3.XX.Y $ ./configure --with-pydebug $ make -s -j16 $ ./python -m venv ~/ # Use ./python.exe -m venv ... on macOS $ source ~//bin/activate $ cd $ pip install -r test-requirements.txt ``` ### IR Tests If the specifics of the generated IR of a change is important (because, for example, you want to make sure a particular optimization is triggering), you should add a `mypyc.irbuild` test as well. Test cases are located in `mypyc/test-data/irbuild-*.test` and the test driver is in `mypyc.test.test_irbuild`. IR build tests do a direct comparison of the IR output, so try to make the test as targeted as possible so as to capture only the important details. (Some of our existing IR build tests do not follow this advice, unfortunately!) If you pass the `--update-data` flag to pytest, it will automatically update the expected output of any tests to match the actual output. This is very useful for changing or creating IR build tests, but make sure to carefully inspect the diff! You may also need to add some definitions to the stubs used for builtins during tests (`mypyc/test-data/fixtures/ir.py`). We don't use full typeshed stubs to run tests since they would seriously slow down tests. ### Benchmarking Many mypyc improvements attempt to make some operations faster. For any such change, you should run some measurements to verify that there actually is a measurable performance impact. A typical benchmark would initialize some data to be operated on, and then measure time spent in some function. In particular, you should not measure time needed to run the entire benchmark program, as this would include Python startup overhead and other things that aren't relevant. In general, for microbenchmarks, you want to do as little as possible in the timed portion. So ideally you'll just have some loops and the code under test. Be ready to provide your benchmark in code review so that mypyc developers can check that the benchmark is fine (writing a good benchmark is non-trivial). You should run a benchmark at least five times, in both original and changed versions, ignore outliers, and report the average runtime. Actual performance of a typical desktop or laptop computer is quite variable, due to dynamic CPU clock frequency changes, background processes, etc. If you observe a high variance in timings, you'll need to run the benchmark more times. Also try closing most applications, including web browsers. Interleave original and changed runs. Don't run 10 runs with variant A followed by 10 runs with variant B, but run an A run, a B run, an A run, etc. Otherwise you risk that the CPU frequency will be different between variants. You can also try adding a delay of 5 to 20s between runs to avoid CPU frequency changes. Instead of averaging over many measurements, you can try to adjust your environment to provide more stable measurements. However, this can be hard to do with some hardware, including many laptops. Victor Stinner has written a series of blog posts about making measurements stable: * https://vstinner.github.io/journey-to-stable-benchmark-system.html * https://vstinner.github.io/journey-to-stable-benchmark-average.html ### Adding C Helpers If you add an operation that compiles into a lot of C code, you may also want to add a C helper function for the operation to make the generated code smaller. Here is how to do this: * Declare the operation in `mypyc/lib-rt/CPy.h`. We avoid macros, and we generally avoid inline functions to make it easier to target additional backends in the future. * Consider adding a unit test for your C helper in `mypyc/lib-rt/test_capi.cc`. We use [Google Test](https://github.com/google/googletest) for writing tests in C++. The framework is included in the repository under the directory `googletest/`. The C unit tests are run as part of the pytest test suite (`test_c_unit_test`). ### Adding a Specialized Primitive Operation Mypyc speeds up operations on primitive types such as `list` and `int` by having primitive operations specialized for specific types. These operations are declared in `mypyc.primitives` (and `mypyc/lib-rt/CPy.h`). For example, `mypyc.primitives.list_ops` contains primitives that target list objects. The operation definitions are data driven: you specify the kind of operation (such as a call to `builtins.len` or a binary addition) and the operand types (such as `list_primitive`), and what code should be generated for the operation. Mypyc does AST matching to find the most suitable primitive operation automatically. Look at the existing primitive definitions and the docstrings in `mypyc.primitives.registry` for examples and more information. ### Adding a New Primitive Type Some types (typically Python Python built-in types), such as `int` and `list`, are special cased in mypyc to generate optimized operations specific to these types. We'll occasionally want to add additional primitive types. Here are some hints about how to add support for a new primitive type (this may be incomplete): * Decide whether the primitive type has an "unboxed" representation (a representation that is not just `PyObject *`). For most types we'll use a boxed representation, as it's easier to implement and more closely matches Python semantics. * Create a new instance of `RPrimitive` to support the primitive type and add it to `mypyc.ir.rtypes`. Make sure all the attributes are set correctly and also define `_rprimitive` and `is__rprimitive`. * Update `mypyc.irbuild.mapper.Mapper.type_to_rtype()`. * If the type is not unboxed, update `emit_cast` in `mypyc.codegen.emit`. If the type is unboxed, there are some additional steps: * Update `emit_box` in `mypyc.codegen.emit`. * Update `emit_unbox` in `mypyc.codegen.emit`. * Update `emit_inc_ref` and `emit_dec_ref` in `mypypc.codegen.emit`. If the unboxed representation does not need reference counting, these can be no-ops. * Update `emit_error_check` in `mypyc.codegen.emit`. * Update `emit_gc_visit` and `emit_gc_clear` in `mypyc.codegen.emit` if the type has an unboxed representation with pointers. The above may be enough to allow you to declare variables with the type, pass values around, perform runtime type checks, and use generic fallback primitive operations to perform method calls, binary operations, and so on. You likely also want to add some faster, specialized primitive operations for the type (see Adding a Specialized Primitive Operation above for how to do this). Add a test case to `mypyc/test-data/run*.test` to test compilation and running compiled code. Ideas for things to test: * Test using the type as an argument. * Test using the type as a return value. * Test passing a value of the type to a function both within compiled code and from regular Python code. Also test this for return values. * Test using the type as list item type. Test both getting a list item and setting a list item. ### Supporting More Python Syntax Mypyc supports most Python syntax, but there are still some gaps. Support for syntactic sugar that doesn't need additional IR operations typically only requires changes to `mypyc.irbuild`. Some new syntax also needs new IR primitives to be added to `mypyc.primitives`. See `mypyc.primitives.registry` for documentation about how to do this. ### Other Hints * This developer documentation is not aimed to be very complete. Much of our documentation is in comments and docstring in the code. If something is unclear, study the code. * It can be useful to look through some recent PRs to get an idea of what typical code changes, test cases, etc. look like. * Feel free to open GitHub issues with questions if you need help when contributing, or ask questions in existing issues. Note that we only support contributors. Mypyc is not (yet) an end-user product. You can also ask questions in our Gitter chat (https://gitter.im/mypyc-dev/community). ## Undocumented Workflows These workflows would be useful for mypyc contributors. We should add them to mypyc developer documentation: * How to inspect the generated IR before some transform passes. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/dict_operations.rst0000644000175100017510000000163515112307767020112 0ustar00runnerrunner.. _dict-ops: Native dict operations ====================== These ``dict`` operations have fast, optimized implementations. Other dictionary operations use generic implementations that are often slower. Construction ------------ Construct dict from keys and values: * ``{key: value, ...}`` Construct empty dict: * ``{}`` * ``dict()`` Construct dict from another object: * ``dict(d: dict)`` * ``dict(x: Iterable)`` Dict comprehensions: * ``{...: ... for ... in ...}`` * ``{...: ... for ... in ... if ...}`` Operators --------- * ``d[key]`` * ``value in d`` Statements ---------- * ``d[key] = value`` * ``for key in d:`` Methods ------- * ``d.get(key)`` * ``d.get(key, default)`` * ``d.keys()`` * ``d.values()`` * ``d.items()`` * ``d.copy()`` * ``d.clear()`` * ``d.setdefault(key)`` * ``d.setdefault(key, value)`` * ``d1.update(d2: dict)`` * ``d.update(x: Iterable)`` Functions --------- * ``len(d: dict)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/differences_from_python.rst0000644000175100017510000002403515112307767021624 0ustar00runnerrunner.. _differences-from-python: Differences from Python ======================= Mypyc aims to be sufficiently compatible with Python semantics so that migrating code to mypyc often doesn't require major code changes. There are various differences to enable performance gains that you need to be aware of, however. This section documents notable differences from Python. We discuss many of them also elsewhere, but it's convenient to have them here in one place. Running compiled modules ------------------------ You can't use ``python3 .py`` or ``python3 -m `` to run compiled modules. Use ``python3 -c "import "`` instead, or write a wrapper script that imports your module. As a side effect, you can't rely on checking the ``__name__`` attribute in compiled code, like this:: if __name__ == "__main__": # Can't be used in compiled code main() Type errors prevent compilation ------------------------------- You can't compile code that generates mypy type check errors. You can sometimes ignore these with a ``# type: ignore`` comment, but this can result in bad code being generated, and it's considered dangerous. .. note:: In the future, mypyc may reject ``# type: ignore`` comments that may be unsafe. Runtime type checking --------------------- Non-erased types in annotations will be type checked at runtime. For example, consider this function:: def twice(x: int) -> int: return x * 2 If you try to call this function with a ``float`` or ``str`` argument, you'll get a type error on the call site, even if the call site is not being type checked:: twice(5) # OK twice(2.2) # TypeError twice("blah") # TypeError Also, values with *inferred* types will be type checked. For example, consider a call to the stdlib function ``socket.gethostname()`` in compiled code. This function is not compiled (no stdlib modules are compiled with mypyc), but mypyc uses a *library stub file* to infer the return type as ``str``. Compiled code calling ``gethostname()`` will fail with ``TypeError`` if ``gethostname()`` would return an incompatible value, such as ``None``:: import socket # Fail if returned value is not a str name = socket.gethostname() Note that ``gethostname()`` is defined like this in the stub file for ``socket`` (in typeshed):: def gethostname() -> str: ... Thus mypyc verifies that library stub files and annotations in non-compiled code match runtime values. This adds an extra layer of type safety. Casts such as ``cast(str, x)`` will also result in strict type checks. Consider this example:: from typing import cast ... x = cast(str, y) The last line is essentially equivalent to this Python code when compiled:: if not isinstance(y, str): raise TypeError(...) x = y In interpreted mode ``cast`` does not perform a runtime type check. Native classes -------------- Native classes behave differently from Python classes. See :ref:`native-classes` for the details. Primitive types --------------- Some primitive types behave differently in compiled code to improve performance. ``int`` objects use an unboxed (non-heap-allocated) representation for small integer values. A side effect of this is that the exact runtime type of ``int`` values is lost. For example, consider this simple function:: def first_int(x: list[int]) -> int: return x[0] print(first_int([True])) # Output is 1, instead of True! ``bool`` is a subclass of ``int``, so the above code is valid. However, when the list value is converted to ``int``, ``True`` is converted to the corresponding ``int`` value, which is ``1``. Note that integers still have an arbitrary precision in compiled code, similar to normal Python integers. Fixed-length tuples are unboxed, similar to integers. The exact type and identity of fixed-length tuples is not preserved, and you can't reliably use ``is`` checks to compare tuples that are used in compiled code. .. _early-binding: Early binding ------------- References to functions, types, most attributes, and methods in the same :ref:`compilation unit ` use *early binding*: the target of the reference is decided at compile time, whenever possible. This contrasts with normal Python behavior of *late binding*, where the target is found by a namespace lookup at runtime. Omitting these namespace lookups improves performance, but some Python idioms don't work without changes. Note that non-final module-level variables still use late binding. You may want to avoid these in very performance-critical code. Examples of early and late binding:: from typing import Final import lib # "lib" is not compiled x = 0 y: Final = 1 def func() -> None: pass class Cls: def __init__(self, attr: int) -> None: self.attr = attr def method(self) -> None: pass def example() -> None: # Early binding: var = y func() o = Cls() o.x o.method() # Late binding: var = x # Module-level variable lib.func() # Accessing library that is not compiled Pickling and copying objects ---------------------------- Mypyc tries to enforce that instances native classes are properly initialized by calling ``__init__`` implicitly when constructing objects, even if objects are constructed through ``pickle``, ``copy.copy`` or ``copy.deepcopy``, for example. If a native class doesn't support calling ``__init__`` without arguments, you can't pickle or copy instances of the class. Use the ``mypy_extensions.mypyc_attr`` class decorator to override this behavior and enable pickling through the ``serializable`` flag:: from mypy_extensions import mypyc_attr import pickle @mypyc_attr(serializable=True) class Cls: def __init__(self, n: int) -> None: self.n = n data = pickle.dumps(Cls(5)) obj = pickle.loads(data) # OK Additional notes: * All subclasses inherit the ``serializable`` flag. * If a class has the ``allow_interpreted_subclasses`` attribute, it implicitly supports serialization. * Enabling serialization may slow down attribute access, since compiled code has to be always prepared to raise ``AttributeError`` in case an attribute is not defined at runtime. * If you try to pickle an object without setting the ``serializable`` flag, you'll get a ``TypeError`` about missing arguments to ``__init__``. Monkey patching --------------- Since mypyc function and class definitions are immutable, you can't perform arbitrary monkey patching, such as replacing functions or methods with mocks in tests. .. note:: Each compiled module has a Python namespace that is initialized to point to compiled functions and type objects. This namespace is a regular ``dict`` object, and it *can* be modified. However, compiled code generally doesn't use this namespace, so any changes will only be visible to non-compiled code. Stack overflows --------------- Compiled code currently doesn't check for stack overflows. Your program may crash in an unrecoverable fashion if you have too many nested function calls, typically due to out-of-control recursion. .. note:: This limitation will be fixed in the future. Final values ------------ Compiled code replaces a reference to an attribute declared ``Final`` with the value of the attribute computed at compile time. This is an example of :ref:`early binding `. Example:: MAX: Final = 100 def limit_to_max(x: int) -> int: if x > MAX: return MAX return x The two references to ``MAX`` don't involve any module namespace lookups, and are equivalent to this code:: def limit_to_max(x: int) -> int: if x > 100: return 100 return x When run as interpreted, the first example will execute slower due to the extra namespace lookups. In interpreted code final attributes can also be modified. Unsupported features -------------------- Some Python features are not supported by mypyc (yet). They can't be used in compiled code, or there are some limitations. You can partially work around some of these limitations by running your code in interpreted mode. Nested classes ************** Nested classes are not supported. Conditional functions or classes ******************************** Function and class definitions guarded by an if-statement are not supported. Dunder methods ************** Native classes **cannot** use these dunders. If defined, they will not work as expected. * ``__del__`` * ``__index__`` * ``__getattr__``, ``__getattribute__`` * ``__setattr__`` * ``__delattr__`` Generator expressions ********************* Generator expressions are not supported. To make it easier to compile existing code, they are implicitly replaced with list comprehensions. *This does not always produce the same behavior.* To work around this limitation, you can usually use a generator function instead. You can sometimes replace the generator expression with an explicit list comprehension. Descriptors *********** Native classes can't contain arbitrary descriptors. Properties, static methods and class methods are supported. Introspection ************* Various methods of introspection may break by using mypyc. Here's an non-exhaustive list of what won't work: - Instance ``__annotations__`` is usually not kept - Frames of compiled functions can't be inspected using ``inspect`` - Compiled methods aren't considered methods by ``inspect.ismethod`` - ``inspect.signature`` chokes on compiled functions with default arguments that are not simple literals - ``inspect.iscoroutinefunction`` and ``asyncio.iscoroutinefunction`` will always return False for compiled functions, even those defined with `async def` Profiling hooks and tracing *************************** Compiled functions don't trigger profiling and tracing hooks, such as when using the ``profile``, ``cProfile``, or ``trace`` modules. Debuggers ********* You can't set breakpoints in compiled functions or step through compiled functions using ``pdb``. Often you can debug your code in interpreted mode instead. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/float_operations.rst0000644000175100017510000000205215112307767020266 0ustar00runnerrunner.. _float-ops: Native float operations ======================== These ``float`` operations have fast, optimized implementations. Other floating point operations use generic implementations that are often slower. Construction ------------ * Float literal * ``float(x: int)`` * ``float(x: i64)`` * ``float(x: i32)`` * ``float(x: i16)`` * ``float(x: u8)`` * ``float(x: str)`` * ``float(x: float)`` (no-op) Operators --------- * Arithmetic (``+``, ``-``, ``*``, ``/``, ``//``, ``%``) * Comparisons (``==``, ``!=``, ``<``, etc.) * Augmented assignment (``x += y``, etc.) Functions --------- * ``int(f)`` * ``i64(f)`` (convert to 64-bit signed integer) * ``i32(f)`` (convert to 32-bit signed integer) * ``i16(f)`` (convert to 16-bit signed integer) * ``u8(f)`` (convert to 8-bit unsigned integer) * ``abs(f)`` * ``math.sin(f)`` * ``math.cos(f)`` * ``math.tan(f)`` * ``math.sqrt(f)`` * ``math.exp(f)`` * ``math.log(f)`` * ``math.floor(f)`` * ``math.ceil(f)`` * ``math.fabs(f)`` * ``math.pow(x, y)`` * ``math.copysign(x, y)`` * ``math.isinf(f)`` * ``math.isnan(f)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/frozenset_operations.rst0000644000175100017510000000067315112307767021207 0ustar00runnerrunner.. _frozenset-ops: Native frozenset operations =========================== These ``frozenset`` operations have fast, optimized implementations. Other frozenset operations use generic implementations that are often slower. Construction ------------ Construct empty frozenset: * ``frozenset()`` Construct frozenset from iterable: * ``frozenset(x: Iterable)`` Operators --------- * ``item in s`` Functions --------- * ``len(s: set)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/future.md0000644000175100017510000000262715112307767016030 0ustar00runnerrunner# Future This document introduces some ideas for future improvements. ## Basic Optimizations Implement basic optimizations such as common subexpression elimination and loop invariant code motion. Importantly, common subexpression elimination could be used to avoid redundant type checks. ## Operation-specific Optimizations Some operations or combinations of successive operations can be replaced with more efficient operations. Examples: * If `s` is a string, `s[i] == 'x'` doesn't need to construct the intermediate single-character string object `s[i]` but just compare the character value to `ord('x')`. * `a + ':' + b` (two string concetenations) can be implemented as single three-operand concatenation that doesn't construct an intermediate object. * `x in {1, 3}` can be translated into `x == 1 or x == 3` (more generally we need to evaluate all right-hand-side items). ## Integer Range Analysis Implement integer range analysis. This can be used in various ways: * Use untagged representations for some registers. * Use faster integer arithmetic operations for operations that only deal with short integers or that can't overflow. * Remove redundant list and string index checks. ## Always Defined Attributes Somehow make it possible to enforce that attributes in a class are always defined. This makes attribute access faster since we don't need to explicitly check if the attribute is defined. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/getting_started.rst0000644000175100017510000001512415112307767020111 0ustar00runnerrunnerGetting started =============== Here you will learn some basic things you need to know to get started with mypyc. Prerequisites ------------- You need a Python C extension development environment. The way to set this up depends on your operating system. macOS ***** Install Xcode command line tools: .. code-block:: $ xcode-select --install Linux ***** You need a C compiler and CPython headers and libraries. The specifics of how to install these varies by distribution. Here are instructions for Ubuntu 18.04, for example: .. code-block:: $ sudo apt install python3-dev Windows ******* From `Build Tools for Visual Studio 2022 `_, install MSVC C++ build tools for your architecture and a Windows SDK. (latest versions recommended) Installation ------------ Mypyc is shipped as part of the mypy distribution. Install mypy like this (you need Python 3.9 or later): .. code-block:: $ python3 -m pip install -U 'mypy[mypyc]' On some systems you need to use this instead: .. code-block:: $ python -m pip install -U 'mypy[mypyc]' Example program --------------- Let's start with a classic micro-benchmark, recursive fibonacci. Save this file as ``fib.py``: .. code-block:: python import time def fib(n: int) -> int: if n <= 1: return n else: return fib(n - 2) + fib(n - 1) t0 = time.time() fib(32) print(time.time() - t0) Note that we gave the ``fib`` function a type annotation. Without it, performance won't be as impressive after compilation. .. note:: `Mypy documentation `_ is a good introduction if you are new to type annotations or mypy. Mypyc uses mypy to perform type checking and type inference, so some familiarity with mypy is very useful. Compiling and running --------------------- We can run ``fib.py`` as a regular, interpreted program using CPython: .. code-block:: console $ python3 fib.py 0.4125328063964844 It took about 0.41s to run on my computer. Run ``mypyc`` to compile the program to a binary C extension: .. code-block:: console $ mypyc fib.py This will generate a C extension for ``fib`` in the current working directory. For example, on a Linux system the generated file may be called ``fib.cpython-37m-x86_64-linux-gnu.so``. Since C extensions can't be run as programs, use ``python3 -c`` to run the compiled module as a program: .. code-block:: console $ python3 -c "import fib" 0.04097270965576172 After compilation, the program is about 10x faster. Nice! .. note:: ``__name__`` in ``fib.py`` would now be ``"fib"``, not ``"__main__"``. You can also pass most `mypy command line options `_ to ``mypyc``. Deleting compiled binary ------------------------ You can manually delete the C extension to get back to an interpreted version (this example works on Linux): .. code-block:: $ rm fib.*.so Using setup.py -------------- You can also use ``setup.py`` to compile modules using mypyc. Here is an example ``setup.py`` file:: from setuptools import setup from mypyc.build import mypycify setup( name='mylib', packages=['mylib'], ext_modules=mypycify([ 'mylib/__init__.py', 'mylib/mod.py', ]), ) We used ``mypycify(...)`` to specify which files to compile using mypyc. Your ``setup.py`` can include additional Python files outside ``mypycify(...)`` that won't be compiled. Now you can build a wheel (.whl) file for the package:: python3 setup.py bdist_wheel The wheel is created under ``dist/``. You can also compile the C extensions in-place, in the current directory (similar to using ``mypyc`` to compile modules):: python3 setup.py build_ext --inplace You can include most `mypy command line options `_ in the list of arguments passed to ``mypycify()``. For example, here we use the ``--disallow-untyped-defs`` flag to require that all functions have type annotations:: ... setup( name='frobnicate', packages=['frobnicate'], ext_modules=mypycify([ '--disallow-untyped-defs', # Pass a mypy flag 'frobnicate.py', ]), ) .. note: You may be tempted to use `--check-untyped-defs `_ to type check functions without type annotations. Note that this may reduce performance, due to many transitions between type-checked and unchecked code. Recommended workflow -------------------- A simple way to use mypyc is to always compile your code after any code changes, but this can get tedious, especially if you have a lot of code. Instead, you can do most development in interpreted mode. This development workflow has worked smoothly for developing mypy and mypyc (often we forget that we aren't working on a vanilla Python project): 1. During development, use interpreted mode. This gives you a fast edit-run cycle. 2. Use type annotations liberally and use mypy to type check your code during development. Mypy and tests can find most errors that would break your compiled code, if you have good type annotation coverage. (Running mypy is pretty quick.) 3. After you've implemented a feature or a fix, compile your project and run tests again, now in compiled mode. Usually nothing will break here, assuming your type annotation coverage is good. This can happen locally or in a Continuous Integration (CI) job. If you have CI, compiling locally may be rarely needed. 4. Release or deploy a compiled version. Optionally, include a fallback interpreted version for platforms that mypyc doesn't support. This mypyc workflow only involves minor tweaks to a typical Python workflow. Most of development, testing and debugging happens in interpreted mode. Incremental mypy runs, especially when using the mypy daemon, are very quick (often a few hundred milliseconds). Next steps ---------- You can sometimes get good results by just annotating your code and compiling it. If this isn't providing meaningful performance gains, if you have trouble getting your code to work under mypyc, or if you want to optimize your code for maximum performance, you should read the rest of the documentation in some detail. Here are some specific recommendations, or you can just read the documentation in order: * :ref:`using-type-annotations` * :ref:`native-classes` * :ref:`differences-from-python` * :ref:`performance-tips` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/index.rst0000644000175100017510000000235115112307767016027 0ustar00runnerrunner.. mypyc documentation master file, created by sphinx-quickstart on Sun Apr 5 14:01:55 2020. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to mypyc documentation! =============================== Mypyc compiles Python modules to C extensions. It uses standard Python `type hints `_ to generate fast code. .. toctree:: :maxdepth: 2 :caption: First steps introduction getting_started .. toctree:: :maxdepth: 2 :caption: Using mypyc using_type_annotations native_classes differences_from_python compilation_units .. toctree:: :maxdepth: 2 :caption: Native operations reference native_operations int_operations bool_operations float_operations str_operations bytes_operations list_operations dict_operations set_operations tuple_operations frozenset_operations .. toctree:: :maxdepth: 2 :caption: Advanced topics performance_tips_and_tricks .. toctree:: :hidden: :caption: Project Links GitHub Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/int_operations.rst0000644000175100017510000001075515112307767017764 0ustar00runnerrunner.. _int-ops: Native integer operations ========================= Mypyc supports these integer types: * ``int`` (arbitrary-precision integer) * ``i64`` (64-bit signed integer) * ``i32`` (32-bit signed integer) * ``i16`` (16-bit signed integer) * ``u8`` (8-bit unsigned integer) ``i64``, ``i32``, ``i16`` and ``u8`` are *native integer types* and are available in the ``mypy_extensions`` module. ``int`` corresponds to the Python ``int`` type, but uses a more efficient runtime representation (tagged pointer). Native integer types are value types. All integer types have optimized primitive operations, but the native integer types are more efficient than ``int``, since they don't require range or bounds checks. Operations on integers that are listed here have fast, optimized implementations. Other integer operations use generic implementations that are generally slower. Some operations involving integers and other types, such as list indexing, are documented elsewhere. Construction ------------ ``int`` type: * Integer literal * ``int(x: float)`` * ``int(x: i64)`` * ``int(x: i32)`` * ``int(x: i16)`` * ``int(x: u8)`` * ``int(x: str)`` * ``int(x: str, base: int)`` * ``int(x: int)`` (no-op) ``i64`` type: * ``i64(x: int)`` * ``i64(x: float)`` * ``i64(x: i64)`` (no-op) * ``i64(x: i32)`` * ``i64(x: i16)`` * ``i64(x: u8)`` * ``i64(x: str)`` * ``i64(x: str, base: int)`` ``i32`` type: * ``i32(x: int)`` * ``i32(x: float)`` * ``i32(x: i64)`` (truncate) * ``i32(x: i32)`` (no-op) * ``i32(x: i16)`` * ``i32(x: u8)`` * ``i32(x: str)`` * ``i32(x: str, base: int)`` ``i16`` type: * ``i16(x: int)`` * ``i16(x: float)`` * ``i16(x: i64)`` (truncate) * ``i16(x: i32)`` (truncate) * ``i16(x: i16)`` (no-op) * ``i16(x: u8)`` * ``i16(x: str)`` * ``i16(x: str, base: int)`` Conversions from ``int`` to a native integer type raise ``OverflowError`` if the value is too large or small. Conversions from a wider native integer type to a narrower one truncate the value and never fail. More generally, operations between native integer types don't check for overflow. Implicit conversions -------------------- ``int`` values can be implicitly converted to a native integer type, for convenience. This means that these are equivalent:: from mypy_extensions import i64 def implicit() -> None: # Implicit conversion of 0 (int) to i64 x: i64 = 0 def explicit() -> None: # Explicit conversion of 0 (int) to i64 x = i64(0) Similarly, a native integer value can be implicitly converted to an arbitrary-precision integer. These two functions are equivalent:: def implicit(x: i64) -> int: # Implicit conversion from i64 to int return x def explicit(x: i64) -> int: # Explicit conversion from i64 to int return int(x) Operators --------- * Arithmetic (``+``, ``-``, ``*``, ``//``, ``/``, ``%``) * Bitwise operations (``&``, ``|``, ``^``, ``<<``, ``>>``, ``~``) * Comparisons (``==``, ``!=``, ``<``, etc.) * Augmented assignment (``x += y``, etc.) If one of the above native integer operations overflows or underflows with signed operands, the behavior is undefined. Signed native integer types should only be used if all possible values are small enough for the type. For this reason, the arbitrary-precision ``int`` type is recommended for signed values unless the performance of integer operations is critical. Operations on unsigned integers (``u8``) wrap around on overflow. It's a compile-time error to mix different native integer types in a binary operation such as addition. An explicit conversion is required:: from mypy_extensions import i64, i32 def add(x: i64, y: i32) -> None: a = x + y # Error (i64 + i32) b = x + i64(y) # OK You can freely mix a native integer value and an arbitrary-precision ``int`` value in an operation. The native integer type is "sticky" and the ``int`` operand is coerced to the native integer type:: def example(x: i64, y: int) -> None: a = x * y # Type of "a" is "i64" ... b = 1 - x # Similarly, type of "b" is "i64" Statements ---------- For loop over a range is compiled efficiently, if the ``range(...)`` object is constructed in the for statement (after ``in``): * ``for x in range(end)`` * ``for x in range(start, end)`` * ``for x in range(start, end, step)`` If one of the arguments to ``range`` in a for loop is a native integer type, the type of the loop variable is inferred to have this native integer type, instead of ``int``:: for x in range(i64(n)): # Type of "x" is "i64" ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/introduction.rst0000644000175100017510000001327515112307767017450 0ustar00runnerrunnerIntroduction ============ Mypyc compiles Python modules to C extensions. It uses standard Python `type hints `_ to generate fast code. The compiled language is a strict, *gradually typed* Python variant. It restricts the use of some dynamic Python features to gain performance, but it's mostly compatible with standard Python. Mypyc uses `mypy `_ to perform type checking and type inference. Most type system features in the stdlib `typing `_ module are supported. Compiled modules can import arbitrary Python modules and third-party libraries. You can compile anything from a single performance-critical module to your entire codebase. You can run the modules you compile also as normal, interpreted Python modules. Existing code with type annotations is often **1.5x to 5x** faster when compiled. Code tuned for mypyc can be **5x to 10x** faster. Mypyc currently aims to speed up non-numeric code, such as server applications. Mypyc is also used to compile itself (and mypy). Why mypyc? ---------- **Easy to get started.** Compiled code has the look and feel of regular Python code. Mypyc supports familiar Python syntax and idioms. **Expressive types.** Mypyc fully supports standard Python type hints. Mypyc has local type inference, generics, optional types, tuple types, union types, and more. Type hints act as machine-checked documentation, making code not only faster but also easier to understand and modify. **Python ecosystem.** Mypyc runs on top of CPython, the standard Python implementation. You can use any third-party libraries, including C extensions, installed with pip. Mypyc uses only valid Python syntax, so all Python editors and IDEs work perfectly. **Fast program startup.** Mypyc uses ahead-of-time compilation, so compilation does not slow down program startup. Slow program startup is a common issue with JIT compilers. **Migration path for existing code.** Existing Python code often requires only minor changes to compile using mypyc. **Waiting for compilation is optional.** Compiled code also runs as normal Python code. You can use interpreted Python during development, with familiar and fast workflows. **Runtime type safety.** Mypyc protects you from segfaults and memory corruption. Any unexpected runtime type safety violation is a bug in mypyc. Runtime values are checked against type annotations. (Without mypyc, type annotations are ignored at runtime.) **Find errors statically.** Mypyc uses mypy for static type checking that helps catch many bugs. Use cases --------- **Fix only performance bottlenecks.** Often most time is spent in a few Python modules or functions. Add type annotations and compile these modules for easy performance gains. **Compile it all.** During development you can use interpreted mode, for a quick edit-run cycle. In releases all non-test code is compiled. This is how mypy achieved a 4x performance improvement over interpreted Python. **Take advantage of existing type hints.** If you already use type annotations in your code, adopting mypyc will be easier. You've already done most of the work needed to use mypyc. **Alternative to a lower-level language.** Instead of writing performance-critical code in C, C++, Cython or Rust, you may get good performance while staying in the comfort of Python. **Migrate C extensions.** Maintaining C extensions is not always fun for a Python developer. With mypyc you may get performance similar to the original C, with the convenience of Python. Differences from Cython ----------------------- Mypyc targets many similar use cases as Cython. Mypyc does many things differently, however: * No need to use non-standard syntax, such as ``cpdef``, or extra decorators to get good performance. Clean, normal-looking type-annotated Python code can be fast without language extensions. This makes it practical to compile entire codebases without a developer productivity hit. * Mypyc has first-class support for features in the ``typing`` module, such as tuple types, union types and generics. * Mypyc has powerful type inference, provided by mypy. Variable type annotations are not needed for optimal performance. * Mypyc fully integrates with mypy for robust and seamless static type checking. * Mypyc performs strict enforcement of type annotations at runtime, resulting in better runtime type safety and easier debugging. Unlike Cython, mypyc doesn't directly support interfacing with C libraries or speeding up numeric code. How does it work ---------------- Mypyc uses several techniques to produce fast code: * Mypyc uses *ahead-of-time compilation* to native code. This removes CPython interpreter overhead. * Mypyc enforces type annotations (and type comments) at runtime, raising ``TypeError`` if runtime values don't match annotations. Value types only need to be checked in the boundaries between dynamic and static typing. * Compiled code uses optimized, type-specific primitives. * Mypyc uses *early binding* to resolve called functions and name references at compile time. Mypyc avoids many dynamic namespace lookups. * Classes are compiled to *C extension classes*. They use `vtables `_ for fast method calls and attribute access. * Mypyc treats compiled functions, classes, and attributes declared ``Final`` as immutable. * Mypyc has memory-efficient, unboxed representations for integers and booleans. Development status ------------------ Mypyc is currently alpha software. It's only recommended for production use cases with careful testing, and if you are willing to contribute fixes or to work around issues you will encounter. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/list_operations.rst0000644000175100017510000000206615112307767020141 0ustar00runnerrunner.. _list-ops: Native list operations ====================== These ``list`` operations have fast, optimized implementations. Other list operations use generic implementations that are often slower. Construction ------------ Construct list with specific items: * ``[item0, ..., itemN]`` Construct empty list: * ``[]`` * ``list()`` Construct list from iterable: * ``list(x: Iterable)`` List comprehensions: * ``[... for ... in ...]`` * ``[... for ... in ... if ...]`` Operators --------- * ``lst[n]`` (get item by integer index) * ``lst[n:m]``, ``lst[n:]``, ``lst[:m]``, ``lst[:]`` (slicing) * ``lst1 + lst2``, ``lst += iter`` * ``lst * n``, ``n * lst``, ``lst *= n`` * ``obj in lst`` Statements ---------- Set item by integer index: * ``lst[n] = x`` For loop over a list: * ``for item in lst:`` Methods ------- * ``lst.append(obj)`` * ``lst.extend(x: Iterable)`` * ``lst.insert(index, obj)`` * ``lst.pop(index=-1)`` * ``lst.remove(obj)`` * ``lst.count(obj)`` * ``lst.index(obj)`` * ``lst.reverse()`` * ``lst.sort()`` Functions --------- * ``len(lst: list)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/make.bat0000644000175100017510000000144015112307767015571 0ustar00runnerrunner@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=. set BUILDDIR=_build if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.https://www.sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end popd ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/native_classes.rst0000644000175100017510000001733115112307767017727 0ustar00runnerrunner.. _native-classes: Native classes ============== Classes in compiled modules are *native classes* by default (some exceptions are discussed below). Native classes are compiled to C extension classes, which have some important differences from normal Python classes. Native classes are similar in many ways to built-in types, such as ``int``, ``str``, and ``list``. Immutable namespaces -------------------- The type object namespace of native classes is mostly immutable (but class variables can be assigned to):: class Cls: def method1(self) -> None: print("method1") def method2(self) -> None: print("method2") Cls.method1 = Cls.method2 # Error Cls.new_method = Cls.method2 # Error Only attributes defined within a class definition (or in a base class) can be assigned to (similar to using ``__slots__``):: class Cls: x: int def __init__(self, y: int) -> None: self.x = 0 self.y = y def method(self) -> None: self.z = "x" o = Cls(0) print(o.x, o.y) # OK o.z = "y" # OK o.extra = 3 # Error: no attribute "extra" .. _inheritance: Inheritance ----------- Only single inheritance is supported from native classes (except for :ref:`traits `). Most non-native extension classes can't be used as base classes, but regular Python classes can be used as base classes unless they use unsupported metaclasses (see below for more about this). These non-native extension classes can be used as base classes of native classes: * ``object`` * ``dict`` (and ``dict[k, v]``) * ``BaseException`` * ``Exception`` * ``ValueError`` * ``IndexError`` * ``LookupError`` * ``UserWarning`` By default, a non-native class can't inherit a native class, and you can't inherit from a native class outside the compilation unit that defines the class. You can enable these through ``mypy_extensions.mypyc_attr``:: from mypy_extensions import mypyc_attr @mypyc_attr(allow_interpreted_subclasses=True) class Cls: ... Allowing interpreted subclasses has only minor impact on performance of instances of the native class. Accessing methods and attributes of a *non-native* subclass (or a subclass defined in another compilation unit) will be slower, since it needs to use the normal Python attribute access mechanism. You need to install ``mypy-extensions`` to use ``@mypyc_attr``: .. code-block:: text pip install --upgrade mypy-extensions Additionally, mypyc recognizes these base classes as special, and understands how they alter the behavior of classes (including native classes) that subclass them: * ``typing.NamedTuple`` * ``typing.Generic`` * ``typing.Protocol`` * ``enum.Enum`` Class variables --------------- Class variables must be explicitly declared using ``attr: ClassVar`` or ``attr: ClassVar[]``. You can't assign to a class variable through an instance. Example:: from typing import ClassVar class Cls: cv: ClassVar = 0 Cls.cv = 2 # OK o = Cls() print(o.cv) # OK (2) o.cv = 3 # Error! .. tip:: Constant class variables can be declared using ``typing.Final`` or ``typing.Final[]``. Generic native classes ---------------------- Native classes can be generic. Type variables are *erased* at runtime, and instances don't keep track of type variable values. Compiled code thus can't check the values of type variables when performing runtime type checks. These checks are delayed to when reading a value with a type variable type:: from typing import TypeVar, Generic, cast T = TypeVar('T') class Box(Generic[T]): def __init__(self, item: T) -> None: self.item = item x = Box(1) # Box[int] y = cast(Box[str], x) # OK (type variable value not checked) y.item # Runtime error: item is "int", but "str" expected Metaclasses ----------- Most metaclasses aren't supported with native classes, since their behavior is too dynamic. You can use these metaclasses, however: * ``abc.ABCMeta`` * ``typing.GenericMeta`` (used by ``typing.Generic``) .. note:: If a class definition uses an unsupported metaclass, *mypyc compiles the class into a regular Python class* (non-native class). Class decorators ---------------- Similar to metaclasses, most class decorators aren't supported with native classes, as they are usually too dynamic. These class decorators can be used with native classes, however: * ``mypy_extensions.trait`` (for defining :ref:`trait types `) * ``mypy_extensions.mypyc_attr`` (see :ref:`above `) * ``dataclasses.dataclass`` * ``@attr.s(auto_attribs=True)`` Dataclasses and attrs classes have partial native support, and they aren't as efficient as pure native classes. .. note:: If a class definition uses an unsupported class decorator, *mypyc compiles the class into a regular Python class* (non-native class). Defining non-native classes --------------------------- You can use the ``@mypy_extensions.mypyc_attr(...)`` class decorator with an argument ``native_class=False`` to explicitly define normal Python classes (non-native classes):: from mypy_extensions import mypyc_attr @mypyc_attr(native_class=False) class NonNative: def __init__(self) -> None: self.attr = 1 setattr(NonNative, "extra", 1) # Ok This only has an effect in classes compiled using mypyc. Non-native classes are significantly less efficient than native classes, but they are sometimes necessary to work around the limitations of native classes. Non-native classes can use arbitrary metaclasses and class decorators, and they support flexible multiple inheritance. Mypyc will still generate a compile-time error if you try to assign to a method, or an attribute that is not defined in a class body, since these are static type errors detected by mypy:: o = NonNative() o.extra = "x" # Static type error: "extra" not defined However, these operations still work at runtime, including in modules that are not compiled using mypyc. You can also use ``setattr`` and ``getattr`` for dynamic access of arbitrary attributes. Expressions with an ``Any`` type are also not type checked statically, allowing access to arbitrary attributes:: a: Any = o a.extra = "x" # Ok setattr(o, "extra", "y") # Also ok Implicit non-native classes --------------------------- If a compiled class uses an unsupported metaclass or an unsupported class decorator, it will implicitly be a non-native class, as discussed above. You can still use ``@mypyc_attr(native_class=False)`` to explicitly mark it as a non-native class. Explicit native classes ----------------------- You can use ``@mypyc_attr(native_class=True)`` to explicitly declare a class as a native class. It will be a compile-time error if mypyc can't compile the class as a native class. You can use this to avoid accidentally defining implicit non-native classes. Deleting attributes ------------------- By default, attributes defined in native classes can't be deleted. You can explicitly allow certain attributes to be deleted by using ``__deletable__``:: class Cls: x: int = 0 y: int = 0 other: int = 0 __deletable__ = ['x', 'y'] # 'x' and 'y' can be deleted o = Cls() del o.x # OK del o.y # OK del o.other # Error You must initialize the ``__deletable__`` attribute in the class body, using a list or a tuple expression with only string literal items that refer to attributes. These are not valid:: a = ['x', 'y'] class Cls: x: int y: int __deletable__ = a # Error: cannot use variable 'a' __deletable__ = ('a',) # Error: not in a class body Other properties ---------------- Instances of native classes don't usually have a ``__dict__`` attribute. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/native_operations.rst0000644000175100017510000000227015112307767020451 0ustar00runnerrunnerMiscellaneous native operations =============================== This is a list of various non-type-specific operations that have custom native implementations. If an operation has no native implementation, mypyc will use fallback generic implementations that are often not as fast. .. note:: Operations specific to various primitive types are described in the following sections. Operators --------- * ``x is y`` (this is very fast for all types) Functions --------- * ``isinstance(obj, type: type)`` * ``isinstance(obj, type: tuple)`` * ``cast(, obj)`` * ``type(obj)`` * ``len(obj)`` * ``abs(obj)`` * ``id(obj)`` * ``iter(obj)`` * ``next(iter: Iterator)`` * ``hash(obj)`` * ``getattr(obj, attr)`` * ``getattr(obj, attr, default)`` * ``setattr(obj, attr, value)`` * ``hasattr(obj, attr)`` * ``delattr(obj, name)`` * ``slice(start, stop, step)`` * ``globals()`` * ``sorted(obj)`` Method decorators ----------------- * ``@property`` * ``@staticmethod`` * ``@classmethod`` * ``@abc.abstractmethod`` Statements ---------- These variants of statements have custom implementations: * ``for ... in seq:`` (for loop over a sequence) * ``for ... in enumerate(...):`` * ``for ... in zip(...):`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/performance_tips_and_tricks.rst0000644000175100017510000002004315112307767022457 0ustar00runnerrunner.. _performance-tips: Performance tips and tricks =========================== Performance optimization is part art, part science. Just using mypyc in a simple manner will likely make your code faster, but squeezing the most performance out of your code requires the use of some techniques we'll summarize below. Profiling --------- If you are speeding up existing code, understanding where time is spent is important. Mypyc speeds up code that you compile. If most of the time is spent elsewhere, you may come back disappointed. For example, if you spend 40% of time outside compiled code, even if compiled code would go 100x faster, overall performance will only be 2.5x faster. A simple (but often effective) approach is to record the time in various points of program execution using ``time.time()``, and to print out elapsed time (or to write it to a log file). The stdlib modules ``profile`` and ``cProfile`` can provide much more detailed data. (But these only work well with non-compiled code.) Avoiding slow libraries ----------------------- If profiling indicates that a lot of time is spent in the stdlib or third-party libraries, you still have several options. First, if most time is spent in a few library features, you can perhaps easily reimplement them in type-annotated Python, or extract the relevant code and annotate it. Now it may be easy to compile this code to speed it up. Second, you may be able to avoid the library altogether, or use an alternative, more efficient library to achieve the same purpose. Type annotations ---------------- As discussed earlier, type annotations are key to major performance gains. You should at least consider adding annotations to any performance-critical functions and classes. It may also be helpful to annotate code called by this code, even if it's not compiled, since this may help mypy infer better types in the compile code. If you use libraries, ensure they have stub files with decent type annotation coverage. Writing a stub file is often easy, and you only need to annotate features you use a lot. If annotating external code or writing stubs feel too burdensome, a simple workaround is to annotate variables explicitly. For example, here we call ``acme.get_items()``, but it has no type annotation. We can use an explicit type annotation for the variable to which we assign the result:: import acme def work() -> None: # Annotate "items" to help mypyc items: list[tuple[int, str]] = acme.get_items() for item in items: ... # Do some work here Without the annotation on ``items``, the type would be ``Any`` (since ``acme`` has no type annotation), resulting in slower, generic operations being used later in the function. Avoiding slow Python features ----------------------------- Mypyc can optimize some features more effectively than others. Here the difference is sometimes big -- some things only get marginally faster at best, while others can get 10x faster, or more. Avoiding these slow features in performance-critical parts of your code can help a lot. These are some of the most important things to avoid: * Using class decorators or metaclasses in compiled code (that aren't properly supported by mypyc) * Heavy reliance on interpreted Python libraries (C extensions are usually fine) These things also tend to be relatively slow: * Using Python classes and instances of Python classes (native classes are much faster) * Calling decorated functions (``@property``, ``@staticmethod``, and ``@classmethod`` are special cased and thus fast) * Calling nested functions * Calling functions or methods defined in other compilation units * Using ``*args`` or ``**kwargs`` * Using generator functions * Using callable values (i.e. not leveraging early binding to call functions or methods) Nested functions can often be replaced with module-level functions or methods of native classes. Callable values and nested functions can sometimes be replaced with an instance of a native class with a single method only, such as ``call(...)``. You can derive the class from an ABC, if there are multiple possible functions. .. note:: Some slow features will likely get efficient implementations in the future. You should check this section every once in a while to see if some additional operations are fast. Using fast native features -------------------------- Some native operations are particularly quick relative to the corresponding interpreted operations. Using them as much as possible may allow you to see 10x or more in performance gains. Some things are not much (or any) faster in compiled code, such as set math operations. In contrast, calling a method of a native class is much faster in compiled code. If you are used to optimizing for CPython, you might have replaced some class instances with dictionaries, as they can be faster. However, in compiled code, this "optimization" would likely slow down your code. Similarly, caching a frequently called method in a local variable can help in CPython, but it can slow things down in compiled code, since the code won't use :ref:`early binding `:: def squares(n: int) -> list[int]: a = [] append = a.append # Not a good idea in compiled code! for i in range(n): append(i * i) return a Here are examples of features that are fast, in no particular order (this list is *not* exhaustive): * Calling compiled functions directly defined in the same compilation unit (with positional and/or keyword arguments) * Calling methods of native classes defined in the same compilation unit (with positional and/or keyword arguments) * Many integer operations * Many ``float`` operations * Booleans * :ref:`Native list operations `, such as indexing, ``append``, and list comprehensions * While loops * For loops over ranges and lists, and with ``enumerate`` or ``zip`` * Reading dictionary items * ``isinstance()`` checks against native classes and instances of primitive types (and unions of them) * Accessing local variables * Accessing attributes of native classes * Accessing final module-level attributes * Comparing strings for equality These features are also fast, but somewhat less so (relative to other related operations): * Constructing instances of native classes * Constructing dictionaries * Setting dictionary items * Native :ref:`dict ` and :ref:`set ` operations * Accessing module-level variables Generally anything documented as a native operation is fast, even if it's not explicitly mentioned here Adjusting garbage collection ---------------------------- Compilation does not speed up cyclic garbage collection. If everything else gets much faster, it's possible that garbage collection will take a big fraction of time. You can use ``gc.set_threshold()`` to adjust the garbage collector to run less often:: import gc # Spend less time in gc; do this before significant computation gc.set_threshold(150000) ... # Actual work happens here Fast interpreter shutdown ------------------------- If you allocate many objects, it's possible that your program spends a lot of time cleaning up when the Python runtime shuts down. Mypyc won't speed up the shutdown of a Python process much. You can call ``os._exit(code)`` to immediately terminate the Python process, skipping normal cleanup. This can give a nice boost to a batch process or a command-line tool. .. note:: This can be dangerous and can lose data. You need to ensure that all streams are flushed and everything is otherwise cleaned up properly. Work smarter ------------ Usually there are many things you can do to improve performance, even if most tweaks will yield only minor gains. The key to being effective is to focus on things that give a large gain with a small effort. For example, low-level optimizations, such as avoiding a nested function, can be pointless, if you could instead avoid a metaclass -- to allow a key class to be compiled as a native class. The latter optimization could speed up numerous method calls and attribute accesses, just like that. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/set_operations.rst0000644000175100017510000000124015112307767017752 0ustar00runnerrunner.. _set-ops: Native set operations ====================== These ``set`` operations have fast, optimized implementations. Other set operations use generic implementations that are often slower. Construction ------------ Construct set with specific items: * ``{item0, ..., itemN}`` Construct empty set: * ``set()`` Construct set from iterable: * ``set(x: Iterable)`` Set comprehensions: * ``{... for ... in ...}`` * ``{... for ... in ... if ...}`` Operators --------- * ``item in s`` Methods ------- * ``s.add(item)`` * ``s.remove(item)`` * ``s.discard(item)`` * ``s.update(x: Iterable)`` * ``s.clear()`` * ``s.pop()`` Functions --------- * ``len(s: set)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/str_operations.rst0000644000175100017510000000352615112307767020000 0ustar00runnerrunner.. _str-ops: Native string operations ======================== These ``str`` operations have fast, optimized implementations. Other string operations use generic implementations that are often slower. Construction ------------ * String literal * ``str(x: int)`` * ``str(x: object)`` * ``repr(x: int)`` * ``repr(x: object)`` Operators --------- * Concatenation (``s1 + s2``) * Indexing (``s[n]``) * Slicing (``s[n:m]``, ``s[n:]``, ``s[:m]``) * Comparisons (``==``, ``!=``) * Augmented assignment (``s1 += s2``) * Containment (``s1 in s2``) .. _str-methods: Methods ------- * ``s.encode()`` * ``s.encode(encoding: str)`` * ``s.encode(encoding: str, errors: str)`` * ``s1.endswith(s2: str)`` * ``s1.endswith(t: tuple[str, ...])`` * ``s1.find(s2: str)`` * ``s1.find(s2: str, start: int)`` * ``s1.find(s2: str, start: int, end: int)`` * ``s.join(x: Iterable)`` * ``s.lstrip()`` * ``s.lstrip(chars: str)`` * ``s.partition(sep: str)`` * ``s.removeprefix(prefix: str)`` * ``s.removesuffix(suffix: str)`` * ``s.replace(old: str, new: str)`` * ``s.replace(old: str, new: str, count: int)`` * ``s1.rfind(s2: str)`` * ``s1.rfind(s2: str, start: int)`` * ``s1.rfind(s2: str, start: int, end: int)`` * ``s.rpartition(sep: str)`` * ``s.rsplit()`` * ``s.rsplit(sep: str)`` * ``s.rsplit(sep: str, maxsplit: int)`` * ``s.rstrip()`` * ``s.rstrip(chars: str)`` * ``s.split()`` * ``s.split(sep: str)`` * ``s.split(sep: str, maxsplit: int)`` * ``s.splitlines()`` * ``s.splitlines(keepends: bool)`` * ``s1.startswith(s2: str)`` * ``s1.startswith(t: tuple[str, ...])`` * ``s.strip()`` * ``s.strip(chars: str)`` .. note:: :ref:`bytes.decode() ` is also optimized. Formatting ---------- A subset of these common string formatting expressions are optimized: * F-strings * ``"...".format(...)`` * ``"..." % (...)`` Functions --------- * ``len(s: str)`` * ``ord(s: str)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/tuple_operations.rst0000644000175100017510000000141115112307767020310 0ustar00runnerrunner.. _tuple-ops: Native tuple operations ======================= These ``tuple`` operations have fast, optimized implementations. Other tuple operations use generic implementations that are often slower. Unless mentioned otherwise, these operations apply to both fixed-length tuples and variable-length tuples. Construction ------------ * ``item0, ..., itemN`` (construct a tuple) * ``tuple(lst: list)`` (construct a variable-length tuple) * ``tuple(lst: Iterable)`` (construct a variable-length tuple) Operators --------- * ``tup[n]`` (integer index) * ``tup[n:m]``, ``tup[n:]``, ``tup[:m]`` (slicing) * ``tup1 + tup2`` * ``tup * n``, ``n * tup`` Statements ---------- * ``item0, ..., itemN = tup`` (for fixed-length tuples) Functions --------- * ``len(tup: tuple)`` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/doc/using_type_annotations.rst0000644000175100017510000003367415112307767021537 0ustar00runnerrunner.. _using-type-annotations: Using type annotations ====================== You will get the most out of mypyc if you compile code with precise type annotations. Not all type annotations will help performance equally, however. Using types such as :ref:`primitive types `, :ref:`native classes `, :ref:`union types `, :ref:`trait types `, and :ref:`tuple types ` as much as possible is a key to major performance gains over CPython. In contrast, some other types, including ``Any``, are treated as :ref:`erased types `. Operations on erased types use generic operations that work with arbitrary objects, similar to how the CPython interpreter works. If you only use erased types, the only notable benefits over CPython will be the removal of interpreter overhead (from compilation) and a bit of :ref:`early binding `, which will usually only give minor performance gains. .. _primitive-types: Primitive types --------------- The following built-in types are treated as *primitive types* by mypyc, and many operations on these types have efficient implementations: * ``int`` (:ref:`native operations `) * ``i64`` (:ref:`documentation `, :ref:`native operations `) * ``i32`` (:ref:`documentation `, :ref:`native operations `) * ``i16`` (:ref:`documentation `, :ref:`native operations `) * ``u8`` (:ref:`documentation `, :ref:`native operations `) * ``float`` (:ref:`native operations `) * ``bool`` (:ref:`native operations `) * ``str`` (:ref:`native operations `) * ``list[T]`` (:ref:`native operations `) * ``dict[K, V]`` (:ref:`native operations `) * ``set[T]`` (:ref:`native operations `) * ``tuple[T, ...]`` (variable-length tuple; :ref:`native operations `) * ``None`` The link after each type lists all supported native, optimized operations for the type. You can use all operations supported by Python, but *native operations* will have custom, optimized implementations. Primitive containers -------------------- Primitive container objects such as ``list`` and ``dict`` don't maintain knowledge of the item types at runtime -- the item type is *erased*. This means that item types are checked when items are accessed, not when a container is passed as an argument or assigned to another variable. For example, here we have a runtime type error on the final line of ``example`` (the ``Any`` type means an arbitrary, unchecked value):: from typing import Any def example(a: list[Any]) -> None: b: list[int] = a # No error -- items are not checked print(b[0]) # Error here -- got str, but expected int example(["x"]) .. _native-class-intro: Native classes -------------- Classes that get compiled to C extensions are called native classes. Most common operations on instances of these classes are optimized, including construction, attribute access and method calls. Native class definitions look exactly like normal Python class definitions. A class is usually native if it's in a compiled module (though there are some exceptions). Consider this example: .. code-block:: class Point: def __init__(self, x: int, y: int) -> None: self.x = x self.y = y def shift(p: Point) -> Point: return Point(p.x + 1, p.y + 1) All operations in the above example use native operations, if the file is compiled. Native classes have some notable different from Python classes: * Only attributes and methods defined in the class body or methods are supported. If you try to assign to an undefined attribute outside the class definition, ``AttributeError`` will be raised. This enables an efficient memory layout and fast method calls for native classes. * Native classes usually don't define the ``__dict__`` attribute (they don't have an attribute dictionary). This follows from only having a specific set of attributes. * Native classes can't have an arbitrary metaclass or use most class decorators. Native classes only support single inheritance. A limited form of multiple inheritance is supported through *trait types*. You generally must inherit from another native class (or ``object``). By default, you can't inherit a Python class from a native class (but there's an :ref:`override ` to allow that). See :ref:`native-classes` for more details. .. _tuple-types: Tuple types ----------- Fixed-length `tuple types `_ such as ``tuple[int, str]`` are represented as :ref:`value types ` when stored in variables, passed as arguments, or returned from functions. Value types are allocated in the low-level machine stack or in CPU registers, as opposed to *heap types*, which are allocated dynamically from the heap. Like all value types, tuples will be *boxed*, i.e. converted to corresponding heap types, when stored in Python containers, or passed to non-native code. A boxed tuple value will be a regular Python tuple object. .. _union-types: Union types ----------- `Union types `_ and `optional types `_ that contain primitive types, native class types and trait types are also efficient. If a union type has :ref:`erased ` items, accessing items with non-erased types is often still quite efficient. A value with a union types is always :ref:`boxed `, even if it contains a value that also has an unboxed representation, such as an integer or a boolean. For example, using ``Optional[int]`` is quite efficient, but the value will always be boxed. A plain ``int`` value will usually be faster, since it has an unboxed representation. .. _trait-types: Trait types ----------- Trait types enable a form of multiple inheritance for native classes. A native class can inherit any number of traits. Trait types are defined as classes using the ``mypy_extensions.trait`` decorator:: from mypy_extensions import trait @trait class MyTrait: def method(self) -> None: ... Traits can define methods, properties and attributes. They often define abstract methods. Traits can be generic. If a class subclasses both a non-trait class and traits, the traits must be placed at the end of the base class list:: class Base: ... class Derived(Base, MyTrait, FooTrait): # OK ... class Derived2(MyTrait, FooTrait, Base): # Error: traits should come last ... Traits have some special properties: * You shouldn't create instances of traits (though mypyc does not prevent it yet). * Traits can subclass other traits or native classes, but the MRO must be linear (just like with native classes). * Accessing methods or attributes through a trait type is somewhat less efficient than through a native class type, but this is much faster than through Python class types or other :ref:`erased types `. You need to install ``mypy-extensions`` to use ``@trait``: .. code-block:: text pip install --upgrade mypy-extensions .. _erased-types: Erased types ------------ Mypyc supports many other kinds of types as well, beyond those described above. However, these types don't have customized operations, and they are implemented using *type erasure*. Type erasure means that all other types are equivalent to untyped values at runtime, i.e. they are the equivalent of the type ``Any``. Erased types include these: * Python classes (including ABCs) * Non-mypyc extension types and primitive types (including built-in types that are not primitives) * `Callable types `_ * `Type variable types `_ * Type `Any `_ * Protocol types Using erased types can still improve performance, since they can enable better types to be inferred for expressions that use these types. For example, a value with type ``Callable[[], int]`` will not allow native calls. However, the return type is a primitive type, and we can use fast operations on the return value:: from typing import Callable def call_and_inc(f: Callable[[], int]) -> int: # Slow call, since f has an erased type n = f() # Fast increment; inferred type of n is int (primitive type) n += 1 return n If the type of the argument ``f`` was ``Any``, the type of ``n`` would also be ``Any``, resulting in a generic, slower increment operation being used. Strict runtime type checking ---------------------------- Compiled code ensures that any variable or expression with a non-erased type only has compatible values at runtime. This is in contrast with using *optional static typing*, such as by using mypy, when type annotations are not enforced at runtime. Mypyc ensures type safety both statically and at runtime. ``Any`` types and erased types in general can compromise type safety, and this is by design. Inserting strict runtime type checks for all possible values would be too expensive and against the goal of high performance. .. _value-and-heap-types: Value and heap types -------------------- In CPython, memory for all objects is dynamically allocated on the heap. All Python types are thus *heap types*. In compiled code, some types are *value types* -- no object is (necessarily) allocated on the heap. ``bool``, ``float``, ``None``, :ref:`native integer types ` and fixed-length tuples are value types. ``int`` is a hybrid. For typical integer values, it is a value type. Large enough integer values, those that require more than 63 bits (or 31 bits on 32-bit platforms) to represent, use a heap-based representation (same as CPython). Value types have a few differences from heap types: * When an instance of a value type is used in a context that expects a heap value, for example as a list item, it will transparently switch to a heap-based representation (boxing) as needed. * Similarly, mypyc transparently changes from a heap-based representation to a value representation (unboxing). * Object identity of integers, floating point values and tuples is not preserved. You should use ``==`` instead of ``is`` if you are comparing two integers, floats or fixed-length tuples. * When an instance of a subclass of a value type is converted to the base type, it is implicitly converted to an instance of the target type. For example, a ``bool`` value assigned to a variable with an ``int`` type will be converted to the corresponding integer. The latter conversion is the only implicit type conversion that happens in mypyc programs. Example:: def example() -> None: # A small integer uses the value (unboxed) representation x = 5 # A large integer uses the heap (boxed) representation x = 2**500 # Lists always contain boxed integers a = [55] # When reading from a list, the object is automatically unboxed x = a[0] # True is converted to 1 on assignment x = True Since integers and floating point values have a different runtime representations and neither can represent all the values of the other type, type narrowing of floating point values through assignment is disallowed in compiled code. For consistency, mypyc rejects assigning an integer value to a float variable even in variable initialization. An explicit conversion is required. Examples:: def narrowing(n: int) -> None: # Error: Incompatible value representations in assignment # (expression has type "int", variable has type "float") x: float = 0 y: float = 0.0 # Ok if f(): y = n # Error if f(): y = float(n) # Ok .. _native-ints: Native integer types -------------------- You can use the native integer types ``i64`` (64-bit signed integer), ``i32`` (32-bit signed integer), ``i16`` (16-bit signed integer), and ``u8`` (8-bit unsigned integer) if you know that integer values will always fit within fixed bounds. These types are faster than the arbitrary-precision ``int`` type, since they don't require overflow checks on operations. They may also use less memory than ``int`` values. The types are imported from the ``mypy_extensions`` module (installed via ``pip install mypy_extensions``). Example:: from mypy_extensions import i64 def sum_list(l: list[i64]) -> i64: s: i64 = 0 for n in l: s += n return s # Implicit conversions from int to i64 print(sum_list([1, 3, 5])) .. note:: Since there are no overflow checks when performing native integer arithmetic, the above function could result in an overflow or other undefined behavior if the sum might not fit within 64 bits. The behavior when running as interpreted Python program will be different if there are overflows. Declaring native integer types have no effect unless code is compiled. Native integer types are effectively equivalent to ``int`` when interpreted. Native integer types have these additional properties: * Values can be implicitly converted between ``int`` and a native integer type (both ways). * Conversions between different native integer types must be explicit. A conversion to a narrower native integer type truncates the value without a runtime overflow check. * If a binary operation (such as ``+``) or an augmented assignment (such as ``+=``) mixes native integer and ``int`` values, the ``int`` operand is implicitly coerced to the native integer type (native integer types are "sticky"). * You can't mix different native integer types in binary operations. Instead, convert between types explicitly. For more information about native integer types, refer to :ref:`native integer operations `. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/errors.py0000644000175100017510000000166115112307767015312 0ustar00runnerrunnerfrom __future__ import annotations import mypy.errors from mypy.options import Options class Errors: def __init__(self, options: Options) -> None: self.num_errors = 0 self.num_warnings = 0 self._errors = mypy.errors.Errors(options, hide_error_codes=True) def error(self, msg: str, path: str, line: int) -> None: self._errors.report(line, None, msg, severity="error", file=path) self.num_errors += 1 def note(self, msg: str, path: str, line: int) -> None: self._errors.report(line, None, msg, severity="note", file=path) def warning(self, msg: str, path: str, line: int) -> None: self._errors.report(line, None, msg, severity="warning", file=path) self.num_warnings += 1 def new_messages(self) -> list[str]: return self._errors.new_messages() def flush_errors(self) -> None: for error in self.new_messages(): print(error) ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.424764 mypy-1.19.0/mypyc/external/0000755000175100017510000000000015112310011015212 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6317658 mypy-1.19.0/mypyc/external/googletest/0000755000175100017510000000000015112310012017367 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/LICENSE0000644000175100017510000000270315112307767020425 0ustar00runnerrunnerCopyright 2008, Google Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of Google Inc. nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/README.md0000644000175100017510000002443415112307767020704 0ustar00runnerrunner ### Generic Build Instructions ### #### Setup #### To build Google Test and your tests that use it, you need to tell your build system where to find its headers and source files. The exact way to do it depends on which build system you use, and is usually straightforward. #### Build #### Suppose you put Google Test in directory `${GTEST_DIR}`. To build it, create a library build target (or a project as called by Visual Studio and Xcode) to compile ${GTEST_DIR}/src/gtest-all.cc with `${GTEST_DIR}/include` in the system header search path and `${GTEST_DIR}` in the normal header search path. Assuming a Linux-like system and gcc, something like the following will do: g++ -isystem ${GTEST_DIR}/include -I${GTEST_DIR} \ -pthread -c ${GTEST_DIR}/src/gtest-all.cc ar -rv libgtest.a gtest-all.o (We need `-pthread` as Google Test uses threads.) Next, you should compile your test source file with `${GTEST_DIR}/include` in the system header search path, and link it with gtest and any other necessary libraries: g++ -isystem ${GTEST_DIR}/include -pthread path/to/your_test.cc libgtest.a \ -o your_test As an example, the make/ directory contains a Makefile that you can use to build Google Test on systems where GNU make is available (e.g. Linux, Mac OS X, and Cygwin). It doesn't try to build Google Test's own tests. Instead, it just builds the Google Test library and a sample test. You can use it as a starting point for your own build script. If the default settings are correct for your environment, the following commands should succeed: cd ${GTEST_DIR}/make make ./sample1_unittest If you see errors, try to tweak the contents of `make/Makefile` to make them go away. There are instructions in `make/Makefile` on how to do it. ### Using CMake ### Google Test comes with a CMake build script ( [CMakeLists.txt](CMakeLists.txt)) that can be used on a wide range of platforms ("C" stands for cross-platform.). If you don't have CMake installed already, you can download it for free from . CMake works by generating native makefiles or build projects that can be used in the compiler environment of your choice. The typical workflow starts with: mkdir mybuild # Create a directory to hold the build output. cd mybuild cmake ${GTEST_DIR} # Generate native build scripts. If you want to build Google Test's samples, you should replace the last command with cmake -Dgtest_build_samples=ON ${GTEST_DIR} If you are on a \*nix system, you should now see a Makefile in the current directory. Just type 'make' to build gtest. If you use Windows and have Visual Studio installed, a `gtest.sln` file and several `.vcproj` files will be created. You can then build them using Visual Studio. On Mac OS X with Xcode installed, a `.xcodeproj` file will be generated. ### Legacy Build Scripts ### Before settling on CMake, we have been providing hand-maintained build projects/scripts for Visual Studio, Xcode, and Autotools. While we continue to provide them for convenience, they are not actively maintained any more. We highly recommend that you follow the instructions in the previous two sections to integrate Google Test with your existing build system. If you still need to use the legacy build scripts, here's how: The msvc\ folder contains two solutions with Visual C++ projects. Open the `gtest.sln` or `gtest-md.sln` file using Visual Studio, and you are ready to build Google Test the same way you build any Visual Studio project. Files that have names ending with -md use DLL versions of Microsoft runtime libraries (the /MD or the /MDd compiler option). Files without that suffix use static versions of the runtime libraries (the /MT or the /MTd option). Please note that one must use the same option to compile both gtest and the test code. If you use Visual Studio 2005 or above, we recommend the -md version as /MD is the default for new projects in these versions of Visual Studio. On Mac OS X, open the `gtest.xcodeproj` in the `xcode/` folder using Xcode. Build the "gtest" target. The universal binary framework will end up in your selected build directory (selected in the Xcode "Preferences..." -> "Building" pane and defaults to xcode/build). Alternatively, at the command line, enter: xcodebuild This will build the "Release" configuration of gtest.framework in your default build location. See the "xcodebuild" man page for more information about building different configurations and building in different locations. If you wish to use the Google Test Xcode project with Xcode 4.x and above, you need to either: * update the SDK configuration options in xcode/Config/General.xconfig. Comment options `SDKROOT`, `MACOS_DEPLOYMENT_TARGET`, and `GCC_VERSION`. If you choose this route you lose the ability to target earlier versions of MacOS X. * Install an SDK for an earlier version. This doesn't appear to be supported by Apple, but has been reported to work (http://stackoverflow.com/questions/5378518). ### Tweaking Google Test ### Google Test can be used in diverse environments. The default configuration may not work (or may not work well) out of the box in some environments. However, you can easily tweak Google Test by defining control macros on the compiler command line. Generally, these macros are named like `GTEST_XYZ` and you define them to either 1 or 0 to enable or disable a certain feature. We list the most frequently used macros below. For a complete list, see file [include/gtest/internal/gtest-port.h](include/gtest/internal/gtest-port.h). ### Choosing a TR1 Tuple Library ### Some Google Test features require the C++ Technical Report 1 (TR1) tuple library, which is not yet available with all compilers. The good news is that Google Test implements a subset of TR1 tuple that's enough for its own need, and will automatically use this when the compiler doesn't provide TR1 tuple. Usually you don't need to care about which tuple library Google Test uses. However, if your project already uses TR1 tuple, you need to tell Google Test to use the same TR1 tuple library the rest of your project uses, or the two tuple implementations will clash. To do that, add -DGTEST_USE_OWN_TR1_TUPLE=0 to the compiler flags while compiling Google Test and your tests. If you want to force Google Test to use its own tuple library, just add -DGTEST_USE_OWN_TR1_TUPLE=1 to the compiler flags instead. If you don't want Google Test to use tuple at all, add -DGTEST_HAS_TR1_TUPLE=0 and all features using tuple will be disabled. ### Multi-threaded Tests ### Google Test is thread-safe where the pthread library is available. After `#include "gtest/gtest.h"`, you can check the `GTEST_IS_THREADSAFE` macro to see whether this is the case (yes if the macro is `#defined` to 1, no if it's undefined.). If Google Test doesn't correctly detect whether pthread is available in your environment, you can force it with -DGTEST_HAS_PTHREAD=1 or -DGTEST_HAS_PTHREAD=0 When Google Test uses pthread, you may need to add flags to your compiler and/or linker to select the pthread library, or you'll get link errors. If you use the CMake script or the deprecated Autotools script, this is taken care of for you. If you use your own build script, you'll need to read your compiler and linker's manual to figure out what flags to add. ### As a Shared Library (DLL) ### Google Test is compact, so most users can build and link it as a static library for the simplicity. You can choose to use Google Test as a shared library (known as a DLL on Windows) if you prefer. To compile *gtest* as a shared library, add -DGTEST_CREATE_SHARED_LIBRARY=1 to the compiler flags. You'll also need to tell the linker to produce a shared library instead - consult your linker's manual for how to do it. To compile your *tests* that use the gtest shared library, add -DGTEST_LINKED_AS_SHARED_LIBRARY=1 to the compiler flags. Note: while the above steps aren't technically necessary today when using some compilers (e.g. GCC), they may become necessary in the future, if we decide to improve the speed of loading the library (see for details). Therefore you are recommended to always add the above flags when using Google Test as a shared library. Otherwise a future release of Google Test may break your build script. ### Avoiding Macro Name Clashes ### In C++, macros don't obey namespaces. Therefore two libraries that both define a macro of the same name will clash if you `#include` both definitions. In case a Google Test macro clashes with another library, you can force Google Test to rename its macro to avoid the conflict. Specifically, if both Google Test and some other code define macro FOO, you can add -DGTEST_DONT_DEFINE_FOO=1 to the compiler flags to tell Google Test to change the macro's name from `FOO` to `GTEST_FOO`. Currently `FOO` can be `FAIL`, `SUCCEED`, or `TEST`. For example, with `-DGTEST_DONT_DEFINE_TEST=1`, you'll need to write GTEST_TEST(SomeTest, DoesThis) { ... } instead of TEST(SomeTest, DoesThis) { ... } in order to define a test. ## Developing Google Test ## This section discusses how to make your own changes to Google Test. ### Testing Google Test Itself ### To make sure your changes work as intended and don't break existing functionality, you'll want to compile and run Google Test's own tests. For that you can use CMake: mkdir mybuild cd mybuild cmake -Dgtest_build_tests=ON ${GTEST_DIR} Make sure you have Python installed, as some of Google Test's tests are written in Python. If the cmake command complains about not being able to find Python (`Could NOT find PythonInterp (missing: PYTHON_EXECUTABLE)`), try telling it explicitly where your Python executable can be found: cmake -DPYTHON_EXECUTABLE=path/to/python -Dgtest_build_tests=ON ${GTEST_DIR} Next, you can build Google Test and all of its own tests. On \*nix, this is usually done by 'make'. To run the tests, do make test All tests should pass. Normally you don't need to worry about regenerating the source files, unless you need to modify them. In that case, you should modify the corresponding .pump files instead and run the pump.py Python script to regenerate them. You can find pump.py in the [scripts/](scripts/) directory. Read the [Pump manual](docs/PumpManual.md) for how to use it. ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.424764 mypy-1.19.0/mypyc/external/googletest/include/0000755000175100017510000000000015112310011021011 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6337657 mypy-1.19.0/mypyc/external/googletest/include/gtest/0000755000175100017510000000000015112310012022140 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest-death-test.h0000644000175100017510000002640315112307767025533 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // // The Google C++ Testing Framework (Google Test) // // This header file defines the public API for death tests. It is // #included by gtest.h so a user doesn't need to include this // directly. #ifndef GTEST_INCLUDE_GTEST_GTEST_DEATH_TEST_H_ #define GTEST_INCLUDE_GTEST_GTEST_DEATH_TEST_H_ #include "gtest/internal/gtest-death-test-internal.h" namespace testing { // This flag controls the style of death tests. Valid values are "threadsafe", // meaning that the death test child process will re-execute the test binary // from the start, running only a single death test, or "fast", // meaning that the child process will execute the test logic immediately // after forking. GTEST_DECLARE_string_(death_test_style); #if GTEST_HAS_DEATH_TEST namespace internal { // Returns a Boolean value indicating whether the caller is currently // executing in the context of the death test child process. Tools such as // Valgrind heap checkers may need this to modify their behavior in death // tests. IMPORTANT: This is an internal utility. Using it may break the // implementation of death tests. User code MUST NOT use it. GTEST_API_ bool InDeathTestChild(); } // namespace internal // The following macros are useful for writing death tests. // Here's what happens when an ASSERT_DEATH* or EXPECT_DEATH* is // executed: // // 1. It generates a warning if there is more than one active // thread. This is because it's safe to fork() or clone() only // when there is a single thread. // // 2. The parent process clone()s a sub-process and runs the death // test in it; the sub-process exits with code 0 at the end of the // death test, if it hasn't exited already. // // 3. The parent process waits for the sub-process to terminate. // // 4. The parent process checks the exit code and error message of // the sub-process. // // Examples: // // ASSERT_DEATH(server.SendMessage(56, "Hello"), "Invalid port number"); // for (int i = 0; i < 5; i++) { // EXPECT_DEATH(server.ProcessRequest(i), // "Invalid request .* in ProcessRequest()") // << "Failed to die on request " << i; // } // // ASSERT_EXIT(server.ExitNow(), ::testing::ExitedWithCode(0), "Exiting"); // // bool KilledBySIGHUP(int exit_code) { // return WIFSIGNALED(exit_code) && WTERMSIG(exit_code) == SIGHUP; // } // // ASSERT_EXIT(client.HangUpServer(), KilledBySIGHUP, "Hanging up!"); // // On the regular expressions used in death tests: // // On POSIX-compliant systems (*nix), we use the library, // which uses the POSIX extended regex syntax. // // On other platforms (e.g. Windows), we only support a simple regex // syntax implemented as part of Google Test. This limited // implementation should be enough most of the time when writing // death tests; though it lacks many features you can find in PCRE // or POSIX extended regex syntax. For example, we don't support // union ("x|y"), grouping ("(xy)"), brackets ("[xy]"), and // repetition count ("x{5,7}"), among others. // // Below is the syntax that we do support. We chose it to be a // subset of both PCRE and POSIX extended regex, so it's easy to // learn wherever you come from. In the following: 'A' denotes a // literal character, period (.), or a single \\ escape sequence; // 'x' and 'y' denote regular expressions; 'm' and 'n' are for // natural numbers. // // c matches any literal character c // \\d matches any decimal digit // \\D matches any character that's not a decimal digit // \\f matches \f // \\n matches \n // \\r matches \r // \\s matches any ASCII whitespace, including \n // \\S matches any character that's not a whitespace // \\t matches \t // \\v matches \v // \\w matches any letter, _, or decimal digit // \\W matches any character that \\w doesn't match // \\c matches any literal character c, which must be a punctuation // . matches any single character except \n // A? matches 0 or 1 occurrences of A // A* matches 0 or many occurrences of A // A+ matches 1 or many occurrences of A // ^ matches the beginning of a string (not that of each line) // $ matches the end of a string (not that of each line) // xy matches x followed by y // // If you accidentally use PCRE or POSIX extended regex features // not implemented by us, you will get a run-time failure. In that // case, please try to rewrite your regular expression within the // above syntax. // // This implementation is *not* meant to be as highly tuned or robust // as a compiled regex library, but should perform well enough for a // death test, which already incurs significant overhead by launching // a child process. // // Known caveats: // // A "threadsafe" style death test obtains the path to the test // program from argv[0] and re-executes it in the sub-process. For // simplicity, the current implementation doesn't search the PATH // when launching the sub-process. This means that the user must // invoke the test program via a path that contains at least one // path separator (e.g. path/to/foo_test and // /absolute/path/to/bar_test are fine, but foo_test is not). This // is rarely a problem as people usually don't put the test binary // directory in PATH. // // TODO(wan@google.com): make thread-safe death tests search the PATH. // Asserts that a given statement causes the program to exit, with an // integer exit status that satisfies predicate, and emitting error output // that matches regex. # define ASSERT_EXIT(statement, predicate, regex) \ GTEST_DEATH_TEST_(statement, predicate, regex, GTEST_FATAL_FAILURE_) // Like ASSERT_EXIT, but continues on to successive tests in the // test case, if any: # define EXPECT_EXIT(statement, predicate, regex) \ GTEST_DEATH_TEST_(statement, predicate, regex, GTEST_NONFATAL_FAILURE_) // Asserts that a given statement causes the program to exit, either by // explicitly exiting with a nonzero exit code or being killed by a // signal, and emitting error output that matches regex. # define ASSERT_DEATH(statement, regex) \ ASSERT_EXIT(statement, ::testing::internal::ExitedUnsuccessfully, regex) // Like ASSERT_DEATH, but continues on to successive tests in the // test case, if any: # define EXPECT_DEATH(statement, regex) \ EXPECT_EXIT(statement, ::testing::internal::ExitedUnsuccessfully, regex) // Two predicate classes that can be used in {ASSERT,EXPECT}_EXIT*: // Tests that an exit code describes a normal exit with a given exit code. class GTEST_API_ ExitedWithCode { public: explicit ExitedWithCode(int exit_code); bool operator()(int exit_status) const; private: // No implementation - assignment is unsupported. void operator=(const ExitedWithCode& other); const int exit_code_; }; # if !GTEST_OS_WINDOWS // Tests that an exit code describes an exit due to termination by a // given signal. class GTEST_API_ KilledBySignal { public: explicit KilledBySignal(int signum); bool operator()(int exit_status) const; private: const int signum_; }; # endif // !GTEST_OS_WINDOWS // EXPECT_DEBUG_DEATH asserts that the given statements die in debug mode. // The death testing framework causes this to have interesting semantics, // since the sideeffects of the call are only visible in opt mode, and not // in debug mode. // // In practice, this can be used to test functions that utilize the // LOG(DFATAL) macro using the following style: // // int DieInDebugOr12(int* sideeffect) { // if (sideeffect) { // *sideeffect = 12; // } // LOG(DFATAL) << "death"; // return 12; // } // // TEST(TestCase, TestDieOr12WorksInDgbAndOpt) { // int sideeffect = 0; // // Only asserts in dbg. // EXPECT_DEBUG_DEATH(DieInDebugOr12(&sideeffect), "death"); // // #ifdef NDEBUG // // opt-mode has sideeffect visible. // EXPECT_EQ(12, sideeffect); // #else // // dbg-mode no visible sideeffect. // EXPECT_EQ(0, sideeffect); // #endif // } // // This will assert that DieInDebugReturn12InOpt() crashes in debug // mode, usually due to a DCHECK or LOG(DFATAL), but returns the // appropriate fallback value (12 in this case) in opt mode. If you // need to test that a function has appropriate side-effects in opt // mode, include assertions against the side-effects. A general // pattern for this is: // // EXPECT_DEBUG_DEATH({ // // Side-effects here will have an effect after this statement in // // opt mode, but none in debug mode. // EXPECT_EQ(12, DieInDebugOr12(&sideeffect)); // }, "death"); // # ifdef NDEBUG # define EXPECT_DEBUG_DEATH(statement, regex) \ GTEST_EXECUTE_STATEMENT_(statement, regex) # define ASSERT_DEBUG_DEATH(statement, regex) \ GTEST_EXECUTE_STATEMENT_(statement, regex) # else # define EXPECT_DEBUG_DEATH(statement, regex) \ EXPECT_DEATH(statement, regex) # define ASSERT_DEBUG_DEATH(statement, regex) \ ASSERT_DEATH(statement, regex) # endif // NDEBUG for EXPECT_DEBUG_DEATH #endif // GTEST_HAS_DEATH_TEST // EXPECT_DEATH_IF_SUPPORTED(statement, regex) and // ASSERT_DEATH_IF_SUPPORTED(statement, regex) expand to real death tests if // death tests are supported; otherwise they just issue a warning. This is // useful when you are combining death test assertions with normal test // assertions in one test. #if GTEST_HAS_DEATH_TEST # define EXPECT_DEATH_IF_SUPPORTED(statement, regex) \ EXPECT_DEATH(statement, regex) # define ASSERT_DEATH_IF_SUPPORTED(statement, regex) \ ASSERT_DEATH(statement, regex) #else # define EXPECT_DEATH_IF_SUPPORTED(statement, regex) \ GTEST_UNSUPPORTED_DEATH_TEST_(statement, regex, ) # define ASSERT_DEATH_IF_SUPPORTED(statement, regex) \ GTEST_UNSUPPORTED_DEATH_TEST_(statement, regex, return) #endif } // namespace testing #endif // GTEST_INCLUDE_GTEST_GTEST_DEATH_TEST_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest-message.h0000644000175100017510000002174215112307767025116 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // // The Google C++ Testing Framework (Google Test) // // This header file defines the Message class. // // IMPORTANT NOTE: Due to limitation of the C++ language, we have to // leave some internal implementation details in this header file. // They are clearly marked by comments like this: // // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. // // Such code is NOT meant to be used by a user directly, and is subject // to CHANGE WITHOUT NOTICE. Therefore DO NOT DEPEND ON IT in a user // program! #ifndef GTEST_INCLUDE_GTEST_GTEST_MESSAGE_H_ #define GTEST_INCLUDE_GTEST_GTEST_MESSAGE_H_ #include #include "gtest/internal/gtest-port.h" // Ensures that there is at least one operator<< in the global namespace. // See Message& operator<<(...) below for why. void operator<<(const testing::internal::Secret&, int); namespace testing { // The Message class works like an ostream repeater. // // Typical usage: // // 1. You stream a bunch of values to a Message object. // It will remember the text in a stringstream. // 2. Then you stream the Message object to an ostream. // This causes the text in the Message to be streamed // to the ostream. // // For example; // // testing::Message foo; // foo << 1 << " != " << 2; // std::cout << foo; // // will print "1 != 2". // // Message is not intended to be inherited from. In particular, its // destructor is not virtual. // // Note that stringstream behaves differently in gcc and in MSVC. You // can stream a NULL char pointer to it in the former, but not in the // latter (it causes an access violation if you do). The Message // class hides this difference by treating a NULL char pointer as // "(null)". class GTEST_API_ Message { private: // The type of basic IO manipulators (endl, ends, and flush) for // narrow streams. typedef std::ostream& (*BasicNarrowIoManip)(std::ostream&); public: // Constructs an empty Message. Message(); // Copy constructor. Message(const Message& msg) : ss_(new ::std::stringstream) { // NOLINT *ss_ << msg.GetString(); } // Constructs a Message from a C-string. explicit Message(const char* str) : ss_(new ::std::stringstream) { *ss_ << str; } #if GTEST_OS_SYMBIAN // Streams a value (either a pointer or not) to this object. template inline Message& operator <<(const T& value) { StreamHelper(typename internal::is_pointer::type(), value); return *this; } #else // Streams a non-pointer value to this object. template inline Message& operator <<(const T& val) { // Some libraries overload << for STL containers. These // overloads are defined in the global namespace instead of ::std. // // C++'s symbol lookup rule (i.e. Koenig lookup) says that these // overloads are visible in either the std namespace or the global // namespace, but not other namespaces, including the testing // namespace which Google Test's Message class is in. // // To allow STL containers (and other types that has a << operator // defined in the global namespace) to be used in Google Test // assertions, testing::Message must access the custom << operator // from the global namespace. With this using declaration, // overloads of << defined in the global namespace and those // visible via Koenig lookup are both exposed in this function. using ::operator <<; *ss_ << val; return *this; } // Streams a pointer value to this object. // // This function is an overload of the previous one. When you // stream a pointer to a Message, this definition will be used as it // is more specialized. (The C++ Standard, section // [temp.func.order].) If you stream a non-pointer, then the // previous definition will be used. // // The reason for this overload is that streaming a NULL pointer to // ostream is undefined behavior. Depending on the compiler, you // may get "0", "(nil)", "(null)", or an access violation. To // ensure consistent result across compilers, we always treat NULL // as "(null)". template inline Message& operator <<(T* const& pointer) { // NOLINT if (pointer == NULL) { *ss_ << "(null)"; } else { *ss_ << pointer; } return *this; } #endif // GTEST_OS_SYMBIAN // Since the basic IO manipulators are overloaded for both narrow // and wide streams, we have to provide this specialized definition // of operator <<, even though its body is the same as the // templatized version above. Without this definition, streaming // endl or other basic IO manipulators to Message will confuse the // compiler. Message& operator <<(BasicNarrowIoManip val) { *ss_ << val; return *this; } // Instead of 1/0, we want to see true/false for bool values. Message& operator <<(bool b) { return *this << (b ? "true" : "false"); } // These two overloads allow streaming a wide C string to a Message // using the UTF-8 encoding. Message& operator <<(const wchar_t* wide_c_str); Message& operator <<(wchar_t* wide_c_str); #if GTEST_HAS_STD_WSTRING // Converts the given wide string to a narrow string using the UTF-8 // encoding, and streams the result to this Message object. Message& operator <<(const ::std::wstring& wstr); #endif // GTEST_HAS_STD_WSTRING #if GTEST_HAS_GLOBAL_WSTRING // Converts the given wide string to a narrow string using the UTF-8 // encoding, and streams the result to this Message object. Message& operator <<(const ::wstring& wstr); #endif // GTEST_HAS_GLOBAL_WSTRING // Gets the text streamed to this object so far as an std::string. // Each '\0' character in the buffer is replaced with "\\0". // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. std::string GetString() const; private: #if GTEST_OS_SYMBIAN // These are needed as the Nokia Symbian Compiler cannot decide between // const T& and const T* in a function template. The Nokia compiler _can_ // decide between class template specializations for T and T*, so a // tr1::type_traits-like is_pointer works, and we can overload on that. template inline void StreamHelper(internal::true_type /*is_pointer*/, T* pointer) { if (pointer == NULL) { *ss_ << "(null)"; } else { *ss_ << pointer; } } template inline void StreamHelper(internal::false_type /*is_pointer*/, const T& value) { // See the comments in Message& operator <<(const T&) above for why // we need this using statement. using ::operator <<; *ss_ << value; } #endif // GTEST_OS_SYMBIAN // We'll hold the text streamed to this object here. const internal::scoped_ptr< ::std::stringstream> ss_; // We declare (but don't implement) this to prevent the compiler // from implementing the assignment operator. void operator=(const Message&); }; // Streams a Message to an ostream. inline std::ostream& operator <<(std::ostream& os, const Message& sb) { return os << sb.GetString(); } namespace internal { // Converts a streamable value to an std::string. A NULL pointer is // converted to "(null)". When the input value is a ::string, // ::std::string, ::wstring, or ::std::wstring object, each NUL // character in it is replaced with "\\0". template std::string StreamableToString(const T& streamable) { return (Message() << streamable).GetString(); } } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_GTEST_MESSAGE_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest-param-test.h0000644000175100017510000022640615112307767025553 0ustar00runnerrunner// This file was GENERATED by command: // pump.py gtest-param-test.h.pump // DO NOT EDIT BY HAND!!! // Copyright 2008, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Authors: vladl@google.com (Vlad Losev) // // Macros and functions for implementing parameterized tests // in Google C++ Testing Framework (Google Test) // // This file is generated by a SCRIPT. DO NOT EDIT BY HAND! // #ifndef GTEST_INCLUDE_GTEST_GTEST_PARAM_TEST_H_ #define GTEST_INCLUDE_GTEST_GTEST_PARAM_TEST_H_ // Value-parameterized tests allow you to test your code with different // parameters without writing multiple copies of the same test. // // Here is how you use value-parameterized tests: #if 0 // To write value-parameterized tests, first you should define a fixture // class. It is usually derived from testing::TestWithParam (see below for // another inheritance scheme that's sometimes useful in more complicated // class hierarchies), where the type of your parameter values. // TestWithParam is itself derived from testing::Test. T can be any // copyable type. If it's a raw pointer, you are responsible for managing the // lifespan of the pointed values. class FooTest : public ::testing::TestWithParam { // You can implement all the usual class fixture members here. }; // Then, use the TEST_P macro to define as many parameterized tests // for this fixture as you want. The _P suffix is for "parameterized" // or "pattern", whichever you prefer to think. TEST_P(FooTest, DoesBlah) { // Inside a test, access the test parameter with the GetParam() method // of the TestWithParam class: EXPECT_TRUE(foo.Blah(GetParam())); ... } TEST_P(FooTest, HasBlahBlah) { ... } // Finally, you can use INSTANTIATE_TEST_CASE_P to instantiate the test // case with any set of parameters you want. Google Test defines a number // of functions for generating test parameters. They return what we call // (surprise!) parameter generators. Here is a summary of them, which // are all in the testing namespace: // // // Range(begin, end [, step]) - Yields values {begin, begin+step, // begin+step+step, ...}. The values do not // include end. step defaults to 1. // Values(v1, v2, ..., vN) - Yields values {v1, v2, ..., vN}. // ValuesIn(container) - Yields values from a C-style array, an STL // ValuesIn(begin,end) container, or an iterator range [begin, end). // Bool() - Yields sequence {false, true}. // Combine(g1, g2, ..., gN) - Yields all combinations (the Cartesian product // for the math savvy) of the values generated // by the N generators. // // For more details, see comments at the definitions of these functions below // in this file. // // The following statement will instantiate tests from the FooTest test case // each with parameter values "meeny", "miny", and "moe". INSTANTIATE_TEST_CASE_P(InstantiationName, FooTest, Values("meeny", "miny", "moe")); // To distinguish different instances of the pattern, (yes, you // can instantiate it more then once) the first argument to the // INSTANTIATE_TEST_CASE_P macro is a prefix that will be added to the // actual test case name. Remember to pick unique prefixes for different // instantiations. The tests from the instantiation above will have // these names: // // * InstantiationName/FooTest.DoesBlah/0 for "meeny" // * InstantiationName/FooTest.DoesBlah/1 for "miny" // * InstantiationName/FooTest.DoesBlah/2 for "moe" // * InstantiationName/FooTest.HasBlahBlah/0 for "meeny" // * InstantiationName/FooTest.HasBlahBlah/1 for "miny" // * InstantiationName/FooTest.HasBlahBlah/2 for "moe" // // You can use these names in --gtest_filter. // // This statement will instantiate all tests from FooTest again, each // with parameter values "cat" and "dog": const char* pets[] = {"cat", "dog"}; INSTANTIATE_TEST_CASE_P(AnotherInstantiationName, FooTest, ValuesIn(pets)); // The tests from the instantiation above will have these names: // // * AnotherInstantiationName/FooTest.DoesBlah/0 for "cat" // * AnotherInstantiationName/FooTest.DoesBlah/1 for "dog" // * AnotherInstantiationName/FooTest.HasBlahBlah/0 for "cat" // * AnotherInstantiationName/FooTest.HasBlahBlah/1 for "dog" // // Please note that INSTANTIATE_TEST_CASE_P will instantiate all tests // in the given test case, whether their definitions come before or // AFTER the INSTANTIATE_TEST_CASE_P statement. // // Please also note that generator expressions (including parameters to the // generators) are evaluated in InitGoogleTest(), after main() has started. // This allows the user on one hand, to adjust generator parameters in order // to dynamically determine a set of tests to run and on the other hand, // give the user a chance to inspect the generated tests with Google Test // reflection API before RUN_ALL_TESTS() is executed. // // You can see samples/sample7_unittest.cc and samples/sample8_unittest.cc // for more examples. // // In the future, we plan to publish the API for defining new parameter // generators. But for now this interface remains part of the internal // implementation and is subject to change. // // // A parameterized test fixture must be derived from testing::Test and from // testing::WithParamInterface, where T is the type of the parameter // values. Inheriting from TestWithParam satisfies that requirement because // TestWithParam inherits from both Test and WithParamInterface. In more // complicated hierarchies, however, it is occasionally useful to inherit // separately from Test and WithParamInterface. For example: class BaseTest : public ::testing::Test { // You can inherit all the usual members for a non-parameterized test // fixture here. }; class DerivedTest : public BaseTest, public ::testing::WithParamInterface { // The usual test fixture members go here too. }; TEST_F(BaseTest, HasFoo) { // This is an ordinary non-parameterized test. } TEST_P(DerivedTest, DoesBlah) { // GetParam works just the same here as if you inherit from TestWithParam. EXPECT_TRUE(foo.Blah(GetParam())); } #endif // 0 #include "gtest/internal/gtest-port.h" #if !GTEST_OS_SYMBIAN # include #endif // scripts/fuse_gtest.py depends on gtest's own header being #included // *unconditionally*. Therefore these #includes cannot be moved // inside #if GTEST_HAS_PARAM_TEST. #include "gtest/internal/gtest-internal.h" #include "gtest/internal/gtest-param-util.h" #include "gtest/internal/gtest-param-util-generated.h" #if GTEST_HAS_PARAM_TEST namespace testing { // Functions producing parameter generators. // // Google Test uses these generators to produce parameters for value- // parameterized tests. When a parameterized test case is instantiated // with a particular generator, Google Test creates and runs tests // for each element in the sequence produced by the generator. // // In the following sample, tests from test case FooTest are instantiated // each three times with parameter values 3, 5, and 8: // // class FooTest : public TestWithParam { ... }; // // TEST_P(FooTest, TestThis) { // } // TEST_P(FooTest, TestThat) { // } // INSTANTIATE_TEST_CASE_P(TestSequence, FooTest, Values(3, 5, 8)); // // Range() returns generators providing sequences of values in a range. // // Synopsis: // Range(start, end) // - returns a generator producing a sequence of values {start, start+1, // start+2, ..., }. // Range(start, end, step) // - returns a generator producing a sequence of values {start, start+step, // start+step+step, ..., }. // Notes: // * The generated sequences never include end. For example, Range(1, 5) // returns a generator producing a sequence {1, 2, 3, 4}. Range(1, 9, 2) // returns a generator producing {1, 3, 5, 7}. // * start and end must have the same type. That type may be any integral or // floating-point type or a user defined type satisfying these conditions: // * It must be assignable (have operator=() defined). // * It must have operator+() (operator+(int-compatible type) for // two-operand version). // * It must have operator<() defined. // Elements in the resulting sequences will also have that type. // * Condition start < end must be satisfied in order for resulting sequences // to contain any elements. // template internal::ParamGenerator Range(T start, T end, IncrementT step) { return internal::ParamGenerator( new internal::RangeGenerator(start, end, step)); } template internal::ParamGenerator Range(T start, T end) { return Range(start, end, 1); } // ValuesIn() function allows generation of tests with parameters coming from // a container. // // Synopsis: // ValuesIn(const T (&array)[N]) // - returns a generator producing sequences with elements from // a C-style array. // ValuesIn(const Container& container) // - returns a generator producing sequences with elements from // an STL-style container. // ValuesIn(Iterator begin, Iterator end) // - returns a generator producing sequences with elements from // a range [begin, end) defined by a pair of STL-style iterators. These // iterators can also be plain C pointers. // // Please note that ValuesIn copies the values from the containers // passed in and keeps them to generate tests in RUN_ALL_TESTS(). // // Examples: // // This instantiates tests from test case StringTest // each with C-string values of "foo", "bar", and "baz": // // const char* strings[] = {"foo", "bar", "baz"}; // INSTANTIATE_TEST_CASE_P(StringSequence, SrtingTest, ValuesIn(strings)); // // This instantiates tests from test case StlStringTest // each with STL strings with values "a" and "b": // // ::std::vector< ::std::string> GetParameterStrings() { // ::std::vector< ::std::string> v; // v.push_back("a"); // v.push_back("b"); // return v; // } // // INSTANTIATE_TEST_CASE_P(CharSequence, // StlStringTest, // ValuesIn(GetParameterStrings())); // // // This will also instantiate tests from CharTest // each with parameter values 'a' and 'b': // // ::std::list GetParameterChars() { // ::std::list list; // list.push_back('a'); // list.push_back('b'); // return list; // } // ::std::list l = GetParameterChars(); // INSTANTIATE_TEST_CASE_P(CharSequence2, // CharTest, // ValuesIn(l.begin(), l.end())); // template internal::ParamGenerator< typename ::testing::internal::IteratorTraits::value_type> ValuesIn(ForwardIterator begin, ForwardIterator end) { typedef typename ::testing::internal::IteratorTraits ::value_type ParamType; return internal::ParamGenerator( new internal::ValuesInIteratorRangeGenerator(begin, end)); } template internal::ParamGenerator ValuesIn(const T (&array)[N]) { return ValuesIn(array, array + N); } template internal::ParamGenerator ValuesIn( const Container& container) { return ValuesIn(container.begin(), container.end()); } // Values() allows generating tests from explicitly specified list of // parameters. // // Synopsis: // Values(T v1, T v2, ..., T vN) // - returns a generator producing sequences with elements v1, v2, ..., vN. // // For example, this instantiates tests from test case BarTest each // with values "one", "two", and "three": // // INSTANTIATE_TEST_CASE_P(NumSequence, BarTest, Values("one", "two", "three")); // // This instantiates tests from test case BazTest each with values 1, 2, 3.5. // The exact type of values will depend on the type of parameter in BazTest. // // INSTANTIATE_TEST_CASE_P(FloatingNumbers, BazTest, Values(1, 2, 3.5)); // // Currently, Values() supports from 1 to 50 parameters. // template internal::ValueArray1 Values(T1 v1) { return internal::ValueArray1(v1); } template internal::ValueArray2 Values(T1 v1, T2 v2) { return internal::ValueArray2(v1, v2); } template internal::ValueArray3 Values(T1 v1, T2 v2, T3 v3) { return internal::ValueArray3(v1, v2, v3); } template internal::ValueArray4 Values(T1 v1, T2 v2, T3 v3, T4 v4) { return internal::ValueArray4(v1, v2, v3, v4); } template internal::ValueArray5 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5) { return internal::ValueArray5(v1, v2, v3, v4, v5); } template internal::ValueArray6 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6) { return internal::ValueArray6(v1, v2, v3, v4, v5, v6); } template internal::ValueArray7 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7) { return internal::ValueArray7(v1, v2, v3, v4, v5, v6, v7); } template internal::ValueArray8 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8) { return internal::ValueArray8(v1, v2, v3, v4, v5, v6, v7, v8); } template internal::ValueArray9 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9) { return internal::ValueArray9(v1, v2, v3, v4, v5, v6, v7, v8, v9); } template internal::ValueArray10 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10) { return internal::ValueArray10(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10); } template internal::ValueArray11 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11) { return internal::ValueArray11(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11); } template internal::ValueArray12 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12) { return internal::ValueArray12(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12); } template internal::ValueArray13 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13) { return internal::ValueArray13(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13); } template internal::ValueArray14 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14) { return internal::ValueArray14(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14); } template internal::ValueArray15 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15) { return internal::ValueArray15(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15); } template internal::ValueArray16 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16) { return internal::ValueArray16(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16); } template internal::ValueArray17 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17) { return internal::ValueArray17(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17); } template internal::ValueArray18 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18) { return internal::ValueArray18(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18); } template internal::ValueArray19 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19) { return internal::ValueArray19(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19); } template internal::ValueArray20 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20) { return internal::ValueArray20(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20); } template internal::ValueArray21 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21) { return internal::ValueArray21(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21); } template internal::ValueArray22 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22) { return internal::ValueArray22(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22); } template internal::ValueArray23 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23) { return internal::ValueArray23(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23); } template internal::ValueArray24 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24) { return internal::ValueArray24(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24); } template internal::ValueArray25 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25) { return internal::ValueArray25(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25); } template internal::ValueArray26 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26) { return internal::ValueArray26(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26); } template internal::ValueArray27 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27) { return internal::ValueArray27(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27); } template internal::ValueArray28 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28) { return internal::ValueArray28(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28); } template internal::ValueArray29 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29) { return internal::ValueArray29(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29); } template internal::ValueArray30 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30) { return internal::ValueArray30(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30); } template internal::ValueArray31 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31) { return internal::ValueArray31(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31); } template internal::ValueArray32 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32) { return internal::ValueArray32(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32); } template internal::ValueArray33 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33) { return internal::ValueArray33(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33); } template internal::ValueArray34 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34) { return internal::ValueArray34(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34); } template internal::ValueArray35 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35) { return internal::ValueArray35(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35); } template internal::ValueArray36 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36) { return internal::ValueArray36(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36); } template internal::ValueArray37 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37) { return internal::ValueArray37(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37); } template internal::ValueArray38 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38) { return internal::ValueArray38(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38); } template internal::ValueArray39 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39) { return internal::ValueArray39(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39); } template internal::ValueArray40 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40) { return internal::ValueArray40(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40); } template internal::ValueArray41 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41) { return internal::ValueArray41(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41); } template internal::ValueArray42 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42) { return internal::ValueArray42(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42); } template internal::ValueArray43 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43) { return internal::ValueArray43(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43); } template internal::ValueArray44 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44) { return internal::ValueArray44(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44); } template internal::ValueArray45 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45) { return internal::ValueArray45(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45); } template internal::ValueArray46 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46) { return internal::ValueArray46(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46); } template internal::ValueArray47 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46, T47 v47) { return internal::ValueArray47(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47); } template internal::ValueArray48 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46, T47 v47, T48 v48) { return internal::ValueArray48(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48); } template internal::ValueArray49 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46, T47 v47, T48 v48, T49 v49) { return internal::ValueArray49(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49); } template internal::ValueArray50 Values(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46, T47 v47, T48 v48, T49 v49, T50 v50) { return internal::ValueArray50(v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50); } // Bool() allows generating tests with parameters in a set of (false, true). // // Synopsis: // Bool() // - returns a generator producing sequences with elements {false, true}. // // It is useful when testing code that depends on Boolean flags. Combinations // of multiple flags can be tested when several Bool()'s are combined using // Combine() function. // // In the following example all tests in the test case FlagDependentTest // will be instantiated twice with parameters false and true. // // class FlagDependentTest : public testing::TestWithParam { // virtual void SetUp() { // external_flag = GetParam(); // } // } // INSTANTIATE_TEST_CASE_P(BoolSequence, FlagDependentTest, Bool()); // inline internal::ParamGenerator Bool() { return Values(false, true); } # if GTEST_HAS_COMBINE // Combine() allows the user to combine two or more sequences to produce // values of a Cartesian product of those sequences' elements. // // Synopsis: // Combine(gen1, gen2, ..., genN) // - returns a generator producing sequences with elements coming from // the Cartesian product of elements from the sequences generated by // gen1, gen2, ..., genN. The sequence elements will have a type of // tuple where T1, T2, ..., TN are the types // of elements from sequences produces by gen1, gen2, ..., genN. // // Combine can have up to 10 arguments. This number is currently limited // by the maximum number of elements in the tuple implementation used by Google // Test. // // Example: // // This will instantiate tests in test case AnimalTest each one with // the parameter values tuple("cat", BLACK), tuple("cat", WHITE), // tuple("dog", BLACK), and tuple("dog", WHITE): // // enum Color { BLACK, GRAY, WHITE }; // class AnimalTest // : public testing::TestWithParam > {...}; // // TEST_P(AnimalTest, AnimalLooksNice) {...} // // INSTANTIATE_TEST_CASE_P(AnimalVariations, AnimalTest, // Combine(Values("cat", "dog"), // Values(BLACK, WHITE))); // // This will instantiate tests in FlagDependentTest with all variations of two // Boolean flags: // // class FlagDependentTest // : public testing::TestWithParam > { // virtual void SetUp() { // // Assigns external_flag_1 and external_flag_2 values from the tuple. // tie(external_flag_1, external_flag_2) = GetParam(); // } // }; // // TEST_P(FlagDependentTest, TestFeature1) { // // Test your code using external_flag_1 and external_flag_2 here. // } // INSTANTIATE_TEST_CASE_P(TwoBoolSequence, FlagDependentTest, // Combine(Bool(), Bool())); // template internal::CartesianProductHolder2 Combine( const Generator1& g1, const Generator2& g2) { return internal::CartesianProductHolder2( g1, g2); } template internal::CartesianProductHolder3 Combine( const Generator1& g1, const Generator2& g2, const Generator3& g3) { return internal::CartesianProductHolder3( g1, g2, g3); } template internal::CartesianProductHolder4 Combine( const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4) { return internal::CartesianProductHolder4( g1, g2, g3, g4); } template internal::CartesianProductHolder5 Combine( const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5) { return internal::CartesianProductHolder5( g1, g2, g3, g4, g5); } template internal::CartesianProductHolder6 Combine( const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6) { return internal::CartesianProductHolder6( g1, g2, g3, g4, g5, g6); } template internal::CartesianProductHolder7 Combine( const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6, const Generator7& g7) { return internal::CartesianProductHolder7( g1, g2, g3, g4, g5, g6, g7); } template internal::CartesianProductHolder8 Combine( const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6, const Generator7& g7, const Generator8& g8) { return internal::CartesianProductHolder8( g1, g2, g3, g4, g5, g6, g7, g8); } template internal::CartesianProductHolder9 Combine( const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6, const Generator7& g7, const Generator8& g8, const Generator9& g9) { return internal::CartesianProductHolder9( g1, g2, g3, g4, g5, g6, g7, g8, g9); } template internal::CartesianProductHolder10 Combine( const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6, const Generator7& g7, const Generator8& g8, const Generator9& g9, const Generator10& g10) { return internal::CartesianProductHolder10( g1, g2, g3, g4, g5, g6, g7, g8, g9, g10); } # endif // GTEST_HAS_COMBINE # define TEST_P(test_case_name, test_name) \ class GTEST_TEST_CLASS_NAME_(test_case_name, test_name) \ : public test_case_name { \ public: \ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)() {} \ virtual void TestBody(); \ private: \ static int AddToRegistry() { \ ::testing::UnitTest::GetInstance()->parameterized_test_registry(). \ GetTestCasePatternHolder(\ #test_case_name, \ ::testing::internal::CodeLocation(\ __FILE__, __LINE__))->AddTestPattern(\ #test_case_name, \ #test_name, \ new ::testing::internal::TestMetaFactory< \ GTEST_TEST_CLASS_NAME_(\ test_case_name, test_name)>()); \ return 0; \ } \ static int gtest_registering_dummy_ GTEST_ATTRIBUTE_UNUSED_; \ GTEST_DISALLOW_COPY_AND_ASSIGN_(\ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)); \ }; \ int GTEST_TEST_CLASS_NAME_(test_case_name, \ test_name)::gtest_registering_dummy_ = \ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::AddToRegistry(); \ void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::TestBody() // The optional last argument to INSTANTIATE_TEST_CASE_P allows the user // to specify a function or functor that generates custom test name suffixes // based on the test parameters. The function should accept one argument of // type testing::TestParamInfo, and return std::string. // // testing::PrintToStringParamName is a builtin test suffix generator that // returns the value of testing::PrintToString(GetParam()). It does not work // for std::string or C strings. // // Note: test names must be non-empty, unique, and may only contain ASCII // alphanumeric characters or underscore. # define INSTANTIATE_TEST_CASE_P(prefix, test_case_name, generator, ...) \ ::testing::internal::ParamGenerator \ gtest_##prefix##test_case_name##_EvalGenerator_() { return generator; } \ ::std::string gtest_##prefix##test_case_name##_EvalGenerateName_( \ const ::testing::TestParamInfo& info) { \ return ::testing::internal::GetParamNameGen \ (__VA_ARGS__)(info); \ } \ int gtest_##prefix##test_case_name##_dummy_ GTEST_ATTRIBUTE_UNUSED_ = \ ::testing::UnitTest::GetInstance()->parameterized_test_registry(). \ GetTestCasePatternHolder(\ #test_case_name, \ ::testing::internal::CodeLocation(\ __FILE__, __LINE__))->AddTestCaseInstantiation(\ #prefix, \ >est_##prefix##test_case_name##_EvalGenerator_, \ >est_##prefix##test_case_name##_EvalGenerateName_, \ __FILE__, __LINE__) } // namespace testing #endif // GTEST_HAS_PARAM_TEST #endif // GTEST_INCLUDE_GTEST_GTEST_PARAM_TEST_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest-param-test.h.pump0000644000175100017510000004711215112307767026526 0ustar00runnerrunner$$ -*- mode: c++; -*- $var n = 50 $$ Maximum length of Values arguments we want to support. $var maxtuple = 10 $$ Maximum number of Combine arguments we want to support. // Copyright 2008, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Authors: vladl@google.com (Vlad Losev) // // Macros and functions for implementing parameterized tests // in Google C++ Testing Framework (Google Test) // // This file is generated by a SCRIPT. DO NOT EDIT BY HAND! // #ifndef GTEST_INCLUDE_GTEST_GTEST_PARAM_TEST_H_ #define GTEST_INCLUDE_GTEST_GTEST_PARAM_TEST_H_ // Value-parameterized tests allow you to test your code with different // parameters without writing multiple copies of the same test. // // Here is how you use value-parameterized tests: #if 0 // To write value-parameterized tests, first you should define a fixture // class. It is usually derived from testing::TestWithParam (see below for // another inheritance scheme that's sometimes useful in more complicated // class hierarchies), where the type of your parameter values. // TestWithParam is itself derived from testing::Test. T can be any // copyable type. If it's a raw pointer, you are responsible for managing the // lifespan of the pointed values. class FooTest : public ::testing::TestWithParam { // You can implement all the usual class fixture members here. }; // Then, use the TEST_P macro to define as many parameterized tests // for this fixture as you want. The _P suffix is for "parameterized" // or "pattern", whichever you prefer to think. TEST_P(FooTest, DoesBlah) { // Inside a test, access the test parameter with the GetParam() method // of the TestWithParam class: EXPECT_TRUE(foo.Blah(GetParam())); ... } TEST_P(FooTest, HasBlahBlah) { ... } // Finally, you can use INSTANTIATE_TEST_CASE_P to instantiate the test // case with any set of parameters you want. Google Test defines a number // of functions for generating test parameters. They return what we call // (surprise!) parameter generators. Here is a summary of them, which // are all in the testing namespace: // // // Range(begin, end [, step]) - Yields values {begin, begin+step, // begin+step+step, ...}. The values do not // include end. step defaults to 1. // Values(v1, v2, ..., vN) - Yields values {v1, v2, ..., vN}. // ValuesIn(container) - Yields values from a C-style array, an STL // ValuesIn(begin,end) container, or an iterator range [begin, end). // Bool() - Yields sequence {false, true}. // Combine(g1, g2, ..., gN) - Yields all combinations (the Cartesian product // for the math savvy) of the values generated // by the N generators. // // For more details, see comments at the definitions of these functions below // in this file. // // The following statement will instantiate tests from the FooTest test case // each with parameter values "meeny", "miny", and "moe". INSTANTIATE_TEST_CASE_P(InstantiationName, FooTest, Values("meeny", "miny", "moe")); // To distinguish different instances of the pattern, (yes, you // can instantiate it more then once) the first argument to the // INSTANTIATE_TEST_CASE_P macro is a prefix that will be added to the // actual test case name. Remember to pick unique prefixes for different // instantiations. The tests from the instantiation above will have // these names: // // * InstantiationName/FooTest.DoesBlah/0 for "meeny" // * InstantiationName/FooTest.DoesBlah/1 for "miny" // * InstantiationName/FooTest.DoesBlah/2 for "moe" // * InstantiationName/FooTest.HasBlahBlah/0 for "meeny" // * InstantiationName/FooTest.HasBlahBlah/1 for "miny" // * InstantiationName/FooTest.HasBlahBlah/2 for "moe" // // You can use these names in --gtest_filter. // // This statement will instantiate all tests from FooTest again, each // with parameter values "cat" and "dog": const char* pets[] = {"cat", "dog"}; INSTANTIATE_TEST_CASE_P(AnotherInstantiationName, FooTest, ValuesIn(pets)); // The tests from the instantiation above will have these names: // // * AnotherInstantiationName/FooTest.DoesBlah/0 for "cat" // * AnotherInstantiationName/FooTest.DoesBlah/1 for "dog" // * AnotherInstantiationName/FooTest.HasBlahBlah/0 for "cat" // * AnotherInstantiationName/FooTest.HasBlahBlah/1 for "dog" // // Please note that INSTANTIATE_TEST_CASE_P will instantiate all tests // in the given test case, whether their definitions come before or // AFTER the INSTANTIATE_TEST_CASE_P statement. // // Please also note that generator expressions (including parameters to the // generators) are evaluated in InitGoogleTest(), after main() has started. // This allows the user on one hand, to adjust generator parameters in order // to dynamically determine a set of tests to run and on the other hand, // give the user a chance to inspect the generated tests with Google Test // reflection API before RUN_ALL_TESTS() is executed. // // You can see samples/sample7_unittest.cc and samples/sample8_unittest.cc // for more examples. // // In the future, we plan to publish the API for defining new parameter // generators. But for now this interface remains part of the internal // implementation and is subject to change. // // // A parameterized test fixture must be derived from testing::Test and from // testing::WithParamInterface, where T is the type of the parameter // values. Inheriting from TestWithParam satisfies that requirement because // TestWithParam inherits from both Test and WithParamInterface. In more // complicated hierarchies, however, it is occasionally useful to inherit // separately from Test and WithParamInterface. For example: class BaseTest : public ::testing::Test { // You can inherit all the usual members for a non-parameterized test // fixture here. }; class DerivedTest : public BaseTest, public ::testing::WithParamInterface { // The usual test fixture members go here too. }; TEST_F(BaseTest, HasFoo) { // This is an ordinary non-parameterized test. } TEST_P(DerivedTest, DoesBlah) { // GetParam works just the same here as if you inherit from TestWithParam. EXPECT_TRUE(foo.Blah(GetParam())); } #endif // 0 #include "gtest/internal/gtest-port.h" #if !GTEST_OS_SYMBIAN # include #endif // scripts/fuse_gtest.py depends on gtest's own header being #included // *unconditionally*. Therefore these #includes cannot be moved // inside #if GTEST_HAS_PARAM_TEST. #include "gtest/internal/gtest-internal.h" #include "gtest/internal/gtest-param-util.h" #include "gtest/internal/gtest-param-util-generated.h" #if GTEST_HAS_PARAM_TEST namespace testing { // Functions producing parameter generators. // // Google Test uses these generators to produce parameters for value- // parameterized tests. When a parameterized test case is instantiated // with a particular generator, Google Test creates and runs tests // for each element in the sequence produced by the generator. // // In the following sample, tests from test case FooTest are instantiated // each three times with parameter values 3, 5, and 8: // // class FooTest : public TestWithParam { ... }; // // TEST_P(FooTest, TestThis) { // } // TEST_P(FooTest, TestThat) { // } // INSTANTIATE_TEST_CASE_P(TestSequence, FooTest, Values(3, 5, 8)); // // Range() returns generators providing sequences of values in a range. // // Synopsis: // Range(start, end) // - returns a generator producing a sequence of values {start, start+1, // start+2, ..., }. // Range(start, end, step) // - returns a generator producing a sequence of values {start, start+step, // start+step+step, ..., }. // Notes: // * The generated sequences never include end. For example, Range(1, 5) // returns a generator producing a sequence {1, 2, 3, 4}. Range(1, 9, 2) // returns a generator producing {1, 3, 5, 7}. // * start and end must have the same type. That type may be any integral or // floating-point type or a user defined type satisfying these conditions: // * It must be assignable (have operator=() defined). // * It must have operator+() (operator+(int-compatible type) for // two-operand version). // * It must have operator<() defined. // Elements in the resulting sequences will also have that type. // * Condition start < end must be satisfied in order for resulting sequences // to contain any elements. // template internal::ParamGenerator Range(T start, T end, IncrementT step) { return internal::ParamGenerator( new internal::RangeGenerator(start, end, step)); } template internal::ParamGenerator Range(T start, T end) { return Range(start, end, 1); } // ValuesIn() function allows generation of tests with parameters coming from // a container. // // Synopsis: // ValuesIn(const T (&array)[N]) // - returns a generator producing sequences with elements from // a C-style array. // ValuesIn(const Container& container) // - returns a generator producing sequences with elements from // an STL-style container. // ValuesIn(Iterator begin, Iterator end) // - returns a generator producing sequences with elements from // a range [begin, end) defined by a pair of STL-style iterators. These // iterators can also be plain C pointers. // // Please note that ValuesIn copies the values from the containers // passed in and keeps them to generate tests in RUN_ALL_TESTS(). // // Examples: // // This instantiates tests from test case StringTest // each with C-string values of "foo", "bar", and "baz": // // const char* strings[] = {"foo", "bar", "baz"}; // INSTANTIATE_TEST_CASE_P(StringSequence, SrtingTest, ValuesIn(strings)); // // This instantiates tests from test case StlStringTest // each with STL strings with values "a" and "b": // // ::std::vector< ::std::string> GetParameterStrings() { // ::std::vector< ::std::string> v; // v.push_back("a"); // v.push_back("b"); // return v; // } // // INSTANTIATE_TEST_CASE_P(CharSequence, // StlStringTest, // ValuesIn(GetParameterStrings())); // // // This will also instantiate tests from CharTest // each with parameter values 'a' and 'b': // // ::std::list GetParameterChars() { // ::std::list list; // list.push_back('a'); // list.push_back('b'); // return list; // } // ::std::list l = GetParameterChars(); // INSTANTIATE_TEST_CASE_P(CharSequence2, // CharTest, // ValuesIn(l.begin(), l.end())); // template internal::ParamGenerator< typename ::testing::internal::IteratorTraits::value_type> ValuesIn(ForwardIterator begin, ForwardIterator end) { typedef typename ::testing::internal::IteratorTraits ::value_type ParamType; return internal::ParamGenerator( new internal::ValuesInIteratorRangeGenerator(begin, end)); } template internal::ParamGenerator ValuesIn(const T (&array)[N]) { return ValuesIn(array, array + N); } template internal::ParamGenerator ValuesIn( const Container& container) { return ValuesIn(container.begin(), container.end()); } // Values() allows generating tests from explicitly specified list of // parameters. // // Synopsis: // Values(T v1, T v2, ..., T vN) // - returns a generator producing sequences with elements v1, v2, ..., vN. // // For example, this instantiates tests from test case BarTest each // with values "one", "two", and "three": // // INSTANTIATE_TEST_CASE_P(NumSequence, BarTest, Values("one", "two", "three")); // // This instantiates tests from test case BazTest each with values 1, 2, 3.5. // The exact type of values will depend on the type of parameter in BazTest. // // INSTANTIATE_TEST_CASE_P(FloatingNumbers, BazTest, Values(1, 2, 3.5)); // // Currently, Values() supports from 1 to $n parameters. // $range i 1..n $for i [[ $range j 1..i template <$for j, [[typename T$j]]> internal::ValueArray$i<$for j, [[T$j]]> Values($for j, [[T$j v$j]]) { return internal::ValueArray$i<$for j, [[T$j]]>($for j, [[v$j]]); } ]] // Bool() allows generating tests with parameters in a set of (false, true). // // Synopsis: // Bool() // - returns a generator producing sequences with elements {false, true}. // // It is useful when testing code that depends on Boolean flags. Combinations // of multiple flags can be tested when several Bool()'s are combined using // Combine() function. // // In the following example all tests in the test case FlagDependentTest // will be instantiated twice with parameters false and true. // // class FlagDependentTest : public testing::TestWithParam { // virtual void SetUp() { // external_flag = GetParam(); // } // } // INSTANTIATE_TEST_CASE_P(BoolSequence, FlagDependentTest, Bool()); // inline internal::ParamGenerator Bool() { return Values(false, true); } # if GTEST_HAS_COMBINE // Combine() allows the user to combine two or more sequences to produce // values of a Cartesian product of those sequences' elements. // // Synopsis: // Combine(gen1, gen2, ..., genN) // - returns a generator producing sequences with elements coming from // the Cartesian product of elements from the sequences generated by // gen1, gen2, ..., genN. The sequence elements will have a type of // tuple where T1, T2, ..., TN are the types // of elements from sequences produces by gen1, gen2, ..., genN. // // Combine can have up to $maxtuple arguments. This number is currently limited // by the maximum number of elements in the tuple implementation used by Google // Test. // // Example: // // This will instantiate tests in test case AnimalTest each one with // the parameter values tuple("cat", BLACK), tuple("cat", WHITE), // tuple("dog", BLACK), and tuple("dog", WHITE): // // enum Color { BLACK, GRAY, WHITE }; // class AnimalTest // : public testing::TestWithParam > {...}; // // TEST_P(AnimalTest, AnimalLooksNice) {...} // // INSTANTIATE_TEST_CASE_P(AnimalVariations, AnimalTest, // Combine(Values("cat", "dog"), // Values(BLACK, WHITE))); // // This will instantiate tests in FlagDependentTest with all variations of two // Boolean flags: // // class FlagDependentTest // : public testing::TestWithParam > { // virtual void SetUp() { // // Assigns external_flag_1 and external_flag_2 values from the tuple. // tie(external_flag_1, external_flag_2) = GetParam(); // } // }; // // TEST_P(FlagDependentTest, TestFeature1) { // // Test your code using external_flag_1 and external_flag_2 here. // } // INSTANTIATE_TEST_CASE_P(TwoBoolSequence, FlagDependentTest, // Combine(Bool(), Bool())); // $range i 2..maxtuple $for i [[ $range j 1..i template <$for j, [[typename Generator$j]]> internal::CartesianProductHolder$i<$for j, [[Generator$j]]> Combine( $for j, [[const Generator$j& g$j]]) { return internal::CartesianProductHolder$i<$for j, [[Generator$j]]>( $for j, [[g$j]]); } ]] # endif // GTEST_HAS_COMBINE # define TEST_P(test_case_name, test_name) \ class GTEST_TEST_CLASS_NAME_(test_case_name, test_name) \ : public test_case_name { \ public: \ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)() {} \ virtual void TestBody(); \ private: \ static int AddToRegistry() { \ ::testing::UnitTest::GetInstance()->parameterized_test_registry(). \ GetTestCasePatternHolder(\ #test_case_name, \ ::testing::internal::CodeLocation(\ __FILE__, __LINE__))->AddTestPattern(\ #test_case_name, \ #test_name, \ new ::testing::internal::TestMetaFactory< \ GTEST_TEST_CLASS_NAME_(\ test_case_name, test_name)>()); \ return 0; \ } \ static int gtest_registering_dummy_ GTEST_ATTRIBUTE_UNUSED_; \ GTEST_DISALLOW_COPY_AND_ASSIGN_(\ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)); \ }; \ int GTEST_TEST_CLASS_NAME_(test_case_name, \ test_name)::gtest_registering_dummy_ = \ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::AddToRegistry(); \ void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::TestBody() // The optional last argument to INSTANTIATE_TEST_CASE_P allows the user // to specify a function or functor that generates custom test name suffixes // based on the test parameters. The function should accept one argument of // type testing::TestParamInfo, and return std::string. // // testing::PrintToStringParamName is a builtin test suffix generator that // returns the value of testing::PrintToString(GetParam()). // // Note: test names must be non-empty, unique, and may only contain ASCII // alphanumeric characters or underscore. Because PrintToString adds quotes // to std::string and C strings, it won't work for these types. # define INSTANTIATE_TEST_CASE_P(prefix, test_case_name, generator, ...) \ ::testing::internal::ParamGenerator \ gtest_##prefix##test_case_name##_EvalGenerator_() { return generator; } \ ::std::string gtest_##prefix##test_case_name##_EvalGenerateName_( \ const ::testing::TestParamInfo& info) { \ return ::testing::internal::GetParamNameGen \ (__VA_ARGS__)(info); \ } \ int gtest_##prefix##test_case_name##_dummy_ GTEST_ATTRIBUTE_UNUSED_ = \ ::testing::UnitTest::GetInstance()->parameterized_test_registry(). \ GetTestCasePatternHolder(\ #test_case_name, \ ::testing::internal::CodeLocation(\ __FILE__, __LINE__))->AddTestCaseInstantiation(\ #prefix, \ >est_##prefix##test_case_name##_EvalGenerator_, \ >est_##prefix##test_case_name##_EvalGenerateName_, \ __FILE__, __LINE__) } // namespace testing #endif // GTEST_HAS_PARAM_TEST #endif // GTEST_INCLUDE_GTEST_GTEST_PARAM_TEST_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest-printers.h0000644000175100017510000010770615112307767025345 0ustar00runnerrunner// Copyright 2007, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // Google Test - The Google C++ Testing Framework // // This file implements a universal value printer that can print a // value of any type T: // // void ::testing::internal::UniversalPrinter::Print(value, ostream_ptr); // // A user can teach this function how to print a class type T by // defining either operator<<() or PrintTo() in the namespace that // defines T. More specifically, the FIRST defined function in the // following list will be used (assuming T is defined in namespace // foo): // // 1. foo::PrintTo(const T&, ostream*) // 2. operator<<(ostream&, const T&) defined in either foo or the // global namespace. // // If none of the above is defined, it will print the debug string of // the value if it is a protocol buffer, or print the raw bytes in the // value otherwise. // // To aid debugging: when T is a reference type, the address of the // value is also printed; when T is a (const) char pointer, both the // pointer value and the NUL-terminated string it points to are // printed. // // We also provide some convenient wrappers: // // // Prints a value to a string. For a (const or not) char // // pointer, the NUL-terminated string (but not the pointer) is // // printed. // std::string ::testing::PrintToString(const T& value); // // // Prints a value tersely: for a reference type, the referenced // // value (but not the address) is printed; for a (const or not) char // // pointer, the NUL-terminated string (but not the pointer) is // // printed. // void ::testing::internal::UniversalTersePrint(const T& value, ostream*); // // // Prints value using the type inferred by the compiler. The difference // // from UniversalTersePrint() is that this function prints both the // // pointer and the NUL-terminated string for a (const or not) char pointer. // void ::testing::internal::UniversalPrint(const T& value, ostream*); // // // Prints the fields of a tuple tersely to a string vector, one // // element for each field. Tuple support must be enabled in // // gtest-port.h. // std::vector UniversalTersePrintTupleFieldsToStrings( // const Tuple& value); // // Known limitation: // // The print primitives print the elements of an STL-style container // using the compiler-inferred type of *iter where iter is a // const_iterator of the container. When const_iterator is an input // iterator but not a forward iterator, this inferred type may not // match value_type, and the print output may be incorrect. In // practice, this is rarely a problem as for most containers // const_iterator is a forward iterator. We'll fix this if there's an // actual need for it. Note that this fix cannot rely on value_type // being defined as many user-defined container types don't have // value_type. #ifndef GTEST_INCLUDE_GTEST_GTEST_PRINTERS_H_ #define GTEST_INCLUDE_GTEST_GTEST_PRINTERS_H_ #include // NOLINT #include #include #include #include #include "gtest/internal/gtest-port.h" #include "gtest/internal/gtest-internal.h" #if GTEST_HAS_STD_TUPLE_ # include #endif namespace testing { // Definitions in the 'internal' and 'internal2' name spaces are // subject to change without notice. DO NOT USE THEM IN USER CODE! namespace internal2 { // Prints the given number of bytes in the given object to the given // ostream. GTEST_API_ void PrintBytesInObjectTo(const unsigned char* obj_bytes, size_t count, ::std::ostream* os); // For selecting which printer to use when a given type has neither << // nor PrintTo(). enum TypeKind { kProtobuf, // a protobuf type kConvertibleToInteger, // a type implicitly convertible to BiggestInt // (e.g. a named or unnamed enum type) kOtherType // anything else }; // TypeWithoutFormatter::PrintValue(value, os) is called // by the universal printer to print a value of type T when neither // operator<< nor PrintTo() is defined for T, where kTypeKind is the // "kind" of T as defined by enum TypeKind. template class TypeWithoutFormatter { public: // This default version is called when kTypeKind is kOtherType. static void PrintValue(const T& value, ::std::ostream* os) { PrintBytesInObjectTo(reinterpret_cast(&value), sizeof(value), os); } }; // We print a protobuf using its ShortDebugString() when the string // doesn't exceed this many characters; otherwise we print it using // DebugString() for better readability. const size_t kProtobufOneLinerMaxLength = 50; template class TypeWithoutFormatter { public: static void PrintValue(const T& value, ::std::ostream* os) { const ::testing::internal::string short_str = value.ShortDebugString(); const ::testing::internal::string pretty_str = short_str.length() <= kProtobufOneLinerMaxLength ? short_str : ("\n" + value.DebugString()); *os << ("<" + pretty_str + ">"); } }; template class TypeWithoutFormatter { public: // Since T has no << operator or PrintTo() but can be implicitly // converted to BiggestInt, we print it as a BiggestInt. // // Most likely T is an enum type (either named or unnamed), in which // case printing it as an integer is the desired behavior. In case // T is not an enum, printing it as an integer is the best we can do // given that it has no user-defined printer. static void PrintValue(const T& value, ::std::ostream* os) { const internal::BiggestInt kBigInt = value; *os << kBigInt; } }; // Prints the given value to the given ostream. If the value is a // protocol message, its debug string is printed; if it's an enum or // of a type implicitly convertible to BiggestInt, it's printed as an // integer; otherwise the bytes in the value are printed. This is // what UniversalPrinter::Print() does when it knows nothing about // type T and T has neither << operator nor PrintTo(). // // A user can override this behavior for a class type Foo by defining // a << operator in the namespace where Foo is defined. // // We put this operator in namespace 'internal2' instead of 'internal' // to simplify the implementation, as much code in 'internal' needs to // use << in STL, which would conflict with our own << were it defined // in 'internal'. // // Note that this operator<< takes a generic std::basic_ostream type instead of the more restricted std::ostream. If // we define it to take an std::ostream instead, we'll get an // "ambiguous overloads" compiler error when trying to print a type // Foo that supports streaming to std::basic_ostream, as the compiler cannot tell whether // operator<<(std::ostream&, const T&) or // operator<<(std::basic_stream, const Foo&) is more // specific. template ::std::basic_ostream& operator<<( ::std::basic_ostream& os, const T& x) { TypeWithoutFormatter::value ? kProtobuf : internal::ImplicitlyConvertible::value ? kConvertibleToInteger : kOtherType)>::PrintValue(x, &os); return os; } } // namespace internal2 } // namespace testing // This namespace MUST NOT BE NESTED IN ::testing, or the name look-up // magic needed for implementing UniversalPrinter won't work. namespace testing_internal { // Used to print a value that is not an STL-style container when the // user doesn't define PrintTo() for it. template void DefaultPrintNonContainerTo(const T& value, ::std::ostream* os) { // With the following statement, during unqualified name lookup, // testing::internal2::operator<< appears as if it was declared in // the nearest enclosing namespace that contains both // ::testing_internal and ::testing::internal2, i.e. the global // namespace. For more details, refer to the C++ Standard section // 7.3.4-1 [namespace.udir]. This allows us to fall back onto // testing::internal2::operator<< in case T doesn't come with a << // operator. // // We cannot write 'using ::testing::internal2::operator<<;', which // gcc 3.3 fails to compile due to a compiler bug. using namespace ::testing::internal2; // NOLINT // Assuming T is defined in namespace foo, in the next statement, // the compiler will consider all of: // // 1. foo::operator<< (thanks to Koenig look-up), // 2. ::operator<< (as the current namespace is enclosed in ::), // 3. testing::internal2::operator<< (thanks to the using statement above). // // The operator<< whose type matches T best will be picked. // // We deliberately allow #2 to be a candidate, as sometimes it's // impossible to define #1 (e.g. when foo is ::std, defining // anything in it is undefined behavior unless you are a compiler // vendor.). *os << value; } } // namespace testing_internal namespace testing { namespace internal { // FormatForComparison::Format(value) formats a // value of type ToPrint that is an operand of a comparison assertion // (e.g. ASSERT_EQ). OtherOperand is the type of the other operand in // the comparison, and is used to help determine the best way to // format the value. In particular, when the value is a C string // (char pointer) and the other operand is an STL string object, we // want to format the C string as a string, since we know it is // compared by value with the string object. If the value is a char // pointer but the other operand is not an STL string object, we don't // know whether the pointer is supposed to point to a NUL-terminated // string, and thus want to print it as a pointer to be safe. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. // The default case. template class FormatForComparison { public: static ::std::string Format(const ToPrint& value) { return ::testing::PrintToString(value); } }; // Array. template class FormatForComparison { public: static ::std::string Format(const ToPrint* value) { return FormatForComparison::Format(value); } }; // By default, print C string as pointers to be safe, as we don't know // whether they actually point to a NUL-terminated string. #define GTEST_IMPL_FORMAT_C_STRING_AS_POINTER_(CharType) \ template \ class FormatForComparison { \ public: \ static ::std::string Format(CharType* value) { \ return ::testing::PrintToString(static_cast(value)); \ } \ } GTEST_IMPL_FORMAT_C_STRING_AS_POINTER_(char); GTEST_IMPL_FORMAT_C_STRING_AS_POINTER_(const char); GTEST_IMPL_FORMAT_C_STRING_AS_POINTER_(wchar_t); GTEST_IMPL_FORMAT_C_STRING_AS_POINTER_(const wchar_t); #undef GTEST_IMPL_FORMAT_C_STRING_AS_POINTER_ // If a C string is compared with an STL string object, we know it's meant // to point to a NUL-terminated string, and thus can print it as a string. #define GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(CharType, OtherStringType) \ template <> \ class FormatForComparison { \ public: \ static ::std::string Format(CharType* value) { \ return ::testing::PrintToString(value); \ } \ } GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(char, ::std::string); GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(const char, ::std::string); #if GTEST_HAS_GLOBAL_STRING GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(char, ::string); GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(const char, ::string); #endif #if GTEST_HAS_GLOBAL_WSTRING GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(wchar_t, ::wstring); GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(const wchar_t, ::wstring); #endif #if GTEST_HAS_STD_WSTRING GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(wchar_t, ::std::wstring); GTEST_IMPL_FORMAT_C_STRING_AS_STRING_(const wchar_t, ::std::wstring); #endif #undef GTEST_IMPL_FORMAT_C_STRING_AS_STRING_ // Formats a comparison assertion (e.g. ASSERT_EQ, EXPECT_LT, and etc) // operand to be used in a failure message. The type (but not value) // of the other operand may affect the format. This allows us to // print a char* as a raw pointer when it is compared against another // char* or void*, and print it as a C string when it is compared // against an std::string object, for example. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. template std::string FormatForComparisonFailureMessage( const T1& value, const T2& /* other_operand */) { return FormatForComparison::Format(value); } // UniversalPrinter::Print(value, ostream_ptr) prints the given // value to the given ostream. The caller must ensure that // 'ostream_ptr' is not NULL, or the behavior is undefined. // // We define UniversalPrinter as a class template (as opposed to a // function template), as we need to partially specialize it for // reference types, which cannot be done with function templates. template class UniversalPrinter; template void UniversalPrint(const T& value, ::std::ostream* os); // Used to print an STL-style container when the user doesn't define // a PrintTo() for it. template void DefaultPrintTo(IsContainer /* dummy */, false_type /* is not a pointer */, const C& container, ::std::ostream* os) { const size_t kMaxCount = 32; // The maximum number of elements to print. *os << '{'; size_t count = 0; for (typename C::const_iterator it = container.begin(); it != container.end(); ++it, ++count) { if (count > 0) { *os << ','; if (count == kMaxCount) { // Enough has been printed. *os << " ..."; break; } } *os << ' '; // We cannot call PrintTo(*it, os) here as PrintTo() doesn't // handle *it being a native array. internal::UniversalPrint(*it, os); } if (count > 0) { *os << ' '; } *os << '}'; } // Used to print a pointer that is neither a char pointer nor a member // pointer, when the user doesn't define PrintTo() for it. (A member // variable pointer or member function pointer doesn't really point to // a location in the address space. Their representation is // implementation-defined. Therefore they will be printed as raw // bytes.) template void DefaultPrintTo(IsNotContainer /* dummy */, true_type /* is a pointer */, T* p, ::std::ostream* os) { if (p == NULL) { *os << "NULL"; } else { // C++ doesn't allow casting from a function pointer to any object // pointer. // // IsTrue() silences warnings: "Condition is always true", // "unreachable code". if (IsTrue(ImplicitlyConvertible::value)) { // T is not a function type. We just call << to print p, // relying on ADL to pick up user-defined << for their pointer // types, if any. *os << p; } else { // T is a function type, so '*os << p' doesn't do what we want // (it just prints p as bool). We want to print p as a const // void*. However, we cannot cast it to const void* directly, // even using reinterpret_cast, as earlier versions of gcc // (e.g. 3.4.5) cannot compile the cast when p is a function // pointer. Casting to UInt64 first solves the problem. *os << reinterpret_cast( reinterpret_cast(p)); } } } // Used to print a non-container, non-pointer value when the user // doesn't define PrintTo() for it. template void DefaultPrintTo(IsNotContainer /* dummy */, false_type /* is not a pointer */, const T& value, ::std::ostream* os) { ::testing_internal::DefaultPrintNonContainerTo(value, os); } // Prints the given value using the << operator if it has one; // otherwise prints the bytes in it. This is what // UniversalPrinter::Print() does when PrintTo() is not specialized // or overloaded for type T. // // A user can override this behavior for a class type Foo by defining // an overload of PrintTo() in the namespace where Foo is defined. We // give the user this option as sometimes defining a << operator for // Foo is not desirable (e.g. the coding style may prevent doing it, // or there is already a << operator but it doesn't do what the user // wants). template void PrintTo(const T& value, ::std::ostream* os) { // DefaultPrintTo() is overloaded. The type of its first two // arguments determine which version will be picked. If T is an // STL-style container, the version for container will be called; if // T is a pointer, the pointer version will be called; otherwise the // generic version will be called. // // Note that we check for container types here, prior to we check // for protocol message types in our operator<<. The rationale is: // // For protocol messages, we want to give people a chance to // override Google Mock's format by defining a PrintTo() or // operator<<. For STL containers, other formats can be // incompatible with Google Mock's format for the container // elements; therefore we check for container types here to ensure // that our format is used. // // The second argument of DefaultPrintTo() is needed to bypass a bug // in Symbian's C++ compiler that prevents it from picking the right // overload between: // // PrintTo(const T& x, ...); // PrintTo(T* x, ...); DefaultPrintTo(IsContainerTest(0), is_pointer(), value, os); } // The following list of PrintTo() overloads tells // UniversalPrinter::Print() how to print standard types (built-in // types, strings, plain arrays, and pointers). // Overloads for various char types. GTEST_API_ void PrintTo(unsigned char c, ::std::ostream* os); GTEST_API_ void PrintTo(signed char c, ::std::ostream* os); inline void PrintTo(char c, ::std::ostream* os) { // When printing a plain char, we always treat it as unsigned. This // way, the output won't be affected by whether the compiler thinks // char is signed or not. PrintTo(static_cast(c), os); } // Overloads for other simple built-in types. inline void PrintTo(bool x, ::std::ostream* os) { *os << (x ? "true" : "false"); } // Overload for wchar_t type. // Prints a wchar_t as a symbol if it is printable or as its internal // code otherwise and also as its decimal code (except for L'\0'). // The L'\0' char is printed as "L'\\0'". The decimal code is printed // as signed integer when wchar_t is implemented by the compiler // as a signed type and is printed as an unsigned integer when wchar_t // is implemented as an unsigned type. GTEST_API_ void PrintTo(wchar_t wc, ::std::ostream* os); // Overloads for C strings. GTEST_API_ void PrintTo(const char* s, ::std::ostream* os); inline void PrintTo(char* s, ::std::ostream* os) { PrintTo(ImplicitCast_(s), os); } // signed/unsigned char is often used for representing binary data, so // we print pointers to it as void* to be safe. inline void PrintTo(const signed char* s, ::std::ostream* os) { PrintTo(ImplicitCast_(s), os); } inline void PrintTo(signed char* s, ::std::ostream* os) { PrintTo(ImplicitCast_(s), os); } inline void PrintTo(const unsigned char* s, ::std::ostream* os) { PrintTo(ImplicitCast_(s), os); } inline void PrintTo(unsigned char* s, ::std::ostream* os) { PrintTo(ImplicitCast_(s), os); } // MSVC can be configured to define wchar_t as a typedef of unsigned // short. It defines _NATIVE_WCHAR_T_DEFINED when wchar_t is a native // type. When wchar_t is a typedef, defining an overload for const // wchar_t* would cause unsigned short* be printed as a wide string, // possibly causing invalid memory accesses. #if !defined(_MSC_VER) || defined(_NATIVE_WCHAR_T_DEFINED) // Overloads for wide C strings GTEST_API_ void PrintTo(const wchar_t* s, ::std::ostream* os); inline void PrintTo(wchar_t* s, ::std::ostream* os) { PrintTo(ImplicitCast_(s), os); } #endif // Overload for C arrays. Multi-dimensional arrays are printed // properly. // Prints the given number of elements in an array, without printing // the curly braces. template void PrintRawArrayTo(const T a[], size_t count, ::std::ostream* os) { UniversalPrint(a[0], os); for (size_t i = 1; i != count; i++) { *os << ", "; UniversalPrint(a[i], os); } } // Overloads for ::string and ::std::string. #if GTEST_HAS_GLOBAL_STRING GTEST_API_ void PrintStringTo(const ::string&s, ::std::ostream* os); inline void PrintTo(const ::string& s, ::std::ostream* os) { PrintStringTo(s, os); } #endif // GTEST_HAS_GLOBAL_STRING GTEST_API_ void PrintStringTo(const ::std::string&s, ::std::ostream* os); inline void PrintTo(const ::std::string& s, ::std::ostream* os) { PrintStringTo(s, os); } // Overloads for ::wstring and ::std::wstring. #if GTEST_HAS_GLOBAL_WSTRING GTEST_API_ void PrintWideStringTo(const ::wstring&s, ::std::ostream* os); inline void PrintTo(const ::wstring& s, ::std::ostream* os) { PrintWideStringTo(s, os); } #endif // GTEST_HAS_GLOBAL_WSTRING #if GTEST_HAS_STD_WSTRING GTEST_API_ void PrintWideStringTo(const ::std::wstring&s, ::std::ostream* os); inline void PrintTo(const ::std::wstring& s, ::std::ostream* os) { PrintWideStringTo(s, os); } #endif // GTEST_HAS_STD_WSTRING #if GTEST_HAS_TR1_TUPLE || GTEST_HAS_STD_TUPLE_ // Helper function for printing a tuple. T must be instantiated with // a tuple type. template void PrintTupleTo(const T& t, ::std::ostream* os); #endif // GTEST_HAS_TR1_TUPLE || GTEST_HAS_STD_TUPLE_ #if GTEST_HAS_TR1_TUPLE // Overload for ::std::tr1::tuple. Needed for printing function arguments, // which are packed as tuples. // Overloaded PrintTo() for tuples of various arities. We support // tuples of up-to 10 fields. The following implementation works // regardless of whether tr1::tuple is implemented using the // non-standard variadic template feature or not. inline void PrintTo(const ::std::tr1::tuple<>& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo(const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } template void PrintTo( const ::std::tr1::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } #endif // GTEST_HAS_TR1_TUPLE #if GTEST_HAS_STD_TUPLE_ template void PrintTo(const ::std::tuple& t, ::std::ostream* os) { PrintTupleTo(t, os); } #endif // GTEST_HAS_STD_TUPLE_ // Overload for std::pair. template void PrintTo(const ::std::pair& value, ::std::ostream* os) { *os << '('; // We cannot use UniversalPrint(value.first, os) here, as T1 may be // a reference type. The same for printing value.second. UniversalPrinter::Print(value.first, os); *os << ", "; UniversalPrinter::Print(value.second, os); *os << ')'; } // Implements printing a non-reference type T by letting the compiler // pick the right overload of PrintTo() for T. template class UniversalPrinter { public: // MSVC warns about adding const to a function type, so we want to // disable the warning. GTEST_DISABLE_MSC_WARNINGS_PUSH_(4180) // Note: we deliberately don't call this PrintTo(), as that name // conflicts with ::testing::internal::PrintTo in the body of the // function. static void Print(const T& value, ::std::ostream* os) { // By default, ::testing::internal::PrintTo() is used for printing // the value. // // Thanks to Koenig look-up, if T is a class and has its own // PrintTo() function defined in its namespace, that function will // be visible here. Since it is more specific than the generic ones // in ::testing::internal, it will be picked by the compiler in the // following statement - exactly what we want. PrintTo(value, os); } GTEST_DISABLE_MSC_WARNINGS_POP_() }; // UniversalPrintArray(begin, len, os) prints an array of 'len' // elements, starting at address 'begin'. template void UniversalPrintArray(const T* begin, size_t len, ::std::ostream* os) { if (len == 0) { *os << "{}"; } else { *os << "{ "; const size_t kThreshold = 18; const size_t kChunkSize = 8; // If the array has more than kThreshold elements, we'll have to // omit some details by printing only the first and the last // kChunkSize elements. // TODO(wan@google.com): let the user control the threshold using a flag. if (len <= kThreshold) { PrintRawArrayTo(begin, len, os); } else { PrintRawArrayTo(begin, kChunkSize, os); *os << ", ..., "; PrintRawArrayTo(begin + len - kChunkSize, kChunkSize, os); } *os << " }"; } } // This overload prints a (const) char array compactly. GTEST_API_ void UniversalPrintArray( const char* begin, size_t len, ::std::ostream* os); // This overload prints a (const) wchar_t array compactly. GTEST_API_ void UniversalPrintArray( const wchar_t* begin, size_t len, ::std::ostream* os); // Implements printing an array type T[N]. template class UniversalPrinter { public: // Prints the given array, omitting some elements when there are too // many. static void Print(const T (&a)[N], ::std::ostream* os) { UniversalPrintArray(a, N, os); } }; // Implements printing a reference type T&. template class UniversalPrinter { public: // MSVC warns about adding const to a function type, so we want to // disable the warning. GTEST_DISABLE_MSC_WARNINGS_PUSH_(4180) static void Print(const T& value, ::std::ostream* os) { // Prints the address of the value. We use reinterpret_cast here // as static_cast doesn't compile when T is a function type. *os << "@" << reinterpret_cast(&value) << " "; // Then prints the value itself. UniversalPrint(value, os); } GTEST_DISABLE_MSC_WARNINGS_POP_() }; // Prints a value tersely: for a reference type, the referenced value // (but not the address) is printed; for a (const) char pointer, the // NUL-terminated string (but not the pointer) is printed. template class UniversalTersePrinter { public: static void Print(const T& value, ::std::ostream* os) { UniversalPrint(value, os); } }; template class UniversalTersePrinter { public: static void Print(const T& value, ::std::ostream* os) { UniversalPrint(value, os); } }; template class UniversalTersePrinter { public: static void Print(const T (&value)[N], ::std::ostream* os) { UniversalPrinter::Print(value, os); } }; template <> class UniversalTersePrinter { public: static void Print(const char* str, ::std::ostream* os) { if (str == NULL) { *os << "NULL"; } else { UniversalPrint(string(str), os); } } }; template <> class UniversalTersePrinter { public: static void Print(char* str, ::std::ostream* os) { UniversalTersePrinter::Print(str, os); } }; #if GTEST_HAS_STD_WSTRING template <> class UniversalTersePrinter { public: static void Print(const wchar_t* str, ::std::ostream* os) { if (str == NULL) { *os << "NULL"; } else { UniversalPrint(::std::wstring(str), os); } } }; #endif template <> class UniversalTersePrinter { public: static void Print(wchar_t* str, ::std::ostream* os) { UniversalTersePrinter::Print(str, os); } }; template void UniversalTersePrint(const T& value, ::std::ostream* os) { UniversalTersePrinter::Print(value, os); } // Prints a value using the type inferred by the compiler. The // difference between this and UniversalTersePrint() is that for a // (const) char pointer, this prints both the pointer and the // NUL-terminated string. template void UniversalPrint(const T& value, ::std::ostream* os) { // A workarond for the bug in VC++ 7.1 that prevents us from instantiating // UniversalPrinter with T directly. typedef T T1; UniversalPrinter::Print(value, os); } typedef ::std::vector Strings; // TuplePolicy must provide: // - tuple_size // size of tuple TupleT. // - get(const TupleT& t) // static function extracting element I of tuple TupleT. // - tuple_element::type // type of element I of tuple TupleT. template struct TuplePolicy; #if GTEST_HAS_TR1_TUPLE template struct TuplePolicy { typedef TupleT Tuple; static const size_t tuple_size = ::std::tr1::tuple_size::value; template struct tuple_element : ::std::tr1::tuple_element {}; template static typename AddReference< const typename ::std::tr1::tuple_element::type>::type get( const Tuple& tuple) { return ::std::tr1::get(tuple); } }; template const size_t TuplePolicy::tuple_size; #endif // GTEST_HAS_TR1_TUPLE #if GTEST_HAS_STD_TUPLE_ template struct TuplePolicy< ::std::tuple > { typedef ::std::tuple Tuple; static const size_t tuple_size = ::std::tuple_size::value; template struct tuple_element : ::std::tuple_element {}; template static const typename ::std::tuple_element::type& get( const Tuple& tuple) { return ::std::get(tuple); } }; template const size_t TuplePolicy< ::std::tuple >::tuple_size; #endif // GTEST_HAS_STD_TUPLE_ #if GTEST_HAS_TR1_TUPLE || GTEST_HAS_STD_TUPLE_ // This helper template allows PrintTo() for tuples and // UniversalTersePrintTupleFieldsToStrings() to be defined by // induction on the number of tuple fields. The idea is that // TuplePrefixPrinter::PrintPrefixTo(t, os) prints the first N // fields in tuple t, and can be defined in terms of // TuplePrefixPrinter. // // The inductive case. template struct TuplePrefixPrinter { // Prints the first N fields of a tuple. template static void PrintPrefixTo(const Tuple& t, ::std::ostream* os) { TuplePrefixPrinter::PrintPrefixTo(t, os); GTEST_INTENTIONAL_CONST_COND_PUSH_() if (N > 1) { GTEST_INTENTIONAL_CONST_COND_POP_() *os << ", "; } UniversalPrinter< typename TuplePolicy::template tuple_element::type> ::Print(TuplePolicy::template get(t), os); } // Tersely prints the first N fields of a tuple to a string vector, // one element for each field. template static void TersePrintPrefixToStrings(const Tuple& t, Strings* strings) { TuplePrefixPrinter::TersePrintPrefixToStrings(t, strings); ::std::stringstream ss; UniversalTersePrint(TuplePolicy::template get(t), &ss); strings->push_back(ss.str()); } }; // Base case. template <> struct TuplePrefixPrinter<0> { template static void PrintPrefixTo(const Tuple&, ::std::ostream*) {} template static void TersePrintPrefixToStrings(const Tuple&, Strings*) {} }; // Helper function for printing a tuple. // Tuple must be either std::tr1::tuple or std::tuple type. template void PrintTupleTo(const Tuple& t, ::std::ostream* os) { *os << "("; TuplePrefixPrinter::tuple_size>::PrintPrefixTo(t, os); *os << ")"; } // Prints the fields of a tuple tersely to a string vector, one // element for each field. See the comment before // UniversalTersePrint() for how we define "tersely". template Strings UniversalTersePrintTupleFieldsToStrings(const Tuple& value) { Strings result; TuplePrefixPrinter::tuple_size>:: TersePrintPrefixToStrings(value, &result); return result; } #endif // GTEST_HAS_TR1_TUPLE || GTEST_HAS_STD_TUPLE_ } // namespace internal template ::std::string PrintToString(const T& value) { ::std::stringstream ss; internal::UniversalTersePrinter::Print(value, &ss); return ss.str(); } } // namespace testing // Include any custom printer added by the local installation. // We must include this header at the end to make sure it can use the // declarations from this file. #include "gtest/internal/custom/gtest-printers.h" #endif // GTEST_INCLUDE_GTEST_GTEST_PRINTERS_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest-spi.h0000644000175100017510000002334015112307767024261 0ustar00runnerrunner// Copyright 2007, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // // Utilities for testing Google Test itself and code that uses Google Test // (e.g. frameworks built on top of Google Test). #ifndef GTEST_INCLUDE_GTEST_GTEST_SPI_H_ #define GTEST_INCLUDE_GTEST_GTEST_SPI_H_ #include "gtest/gtest.h" namespace testing { // This helper class can be used to mock out Google Test failure reporting // so that we can test Google Test or code that builds on Google Test. // // An object of this class appends a TestPartResult object to the // TestPartResultArray object given in the constructor whenever a Google Test // failure is reported. It can either intercept only failures that are // generated in the same thread that created this object or it can intercept // all generated failures. The scope of this mock object can be controlled with // the second argument to the two arguments constructor. class GTEST_API_ ScopedFakeTestPartResultReporter : public TestPartResultReporterInterface { public: // The two possible mocking modes of this object. enum InterceptMode { INTERCEPT_ONLY_CURRENT_THREAD, // Intercepts only thread local failures. INTERCEPT_ALL_THREADS // Intercepts all failures. }; // The c'tor sets this object as the test part result reporter used // by Google Test. The 'result' parameter specifies where to report the // results. This reporter will only catch failures generated in the current // thread. DEPRECATED explicit ScopedFakeTestPartResultReporter(TestPartResultArray* result); // Same as above, but you can choose the interception scope of this object. ScopedFakeTestPartResultReporter(InterceptMode intercept_mode, TestPartResultArray* result); // The d'tor restores the previous test part result reporter. virtual ~ScopedFakeTestPartResultReporter(); // Appends the TestPartResult object to the TestPartResultArray // received in the constructor. // // This method is from the TestPartResultReporterInterface // interface. virtual void ReportTestPartResult(const TestPartResult& result); private: void Init(); const InterceptMode intercept_mode_; TestPartResultReporterInterface* old_reporter_; TestPartResultArray* const result_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ScopedFakeTestPartResultReporter); }; namespace internal { // A helper class for implementing EXPECT_FATAL_FAILURE() and // EXPECT_NONFATAL_FAILURE(). Its destructor verifies that the given // TestPartResultArray contains exactly one failure that has the given // type and contains the given substring. If that's not the case, a // non-fatal failure will be generated. class GTEST_API_ SingleFailureChecker { public: // The constructor remembers the arguments. SingleFailureChecker(const TestPartResultArray* results, TestPartResult::Type type, const string& substr); ~SingleFailureChecker(); private: const TestPartResultArray* const results_; const TestPartResult::Type type_; const string substr_; GTEST_DISALLOW_COPY_AND_ASSIGN_(SingleFailureChecker); }; } // namespace internal } // namespace testing // A set of macros for testing Google Test assertions or code that's expected // to generate Google Test fatal failures. It verifies that the given // statement will cause exactly one fatal Google Test failure with 'substr' // being part of the failure message. // // There are two different versions of this macro. EXPECT_FATAL_FAILURE only // affects and considers failures generated in the current thread and // EXPECT_FATAL_FAILURE_ON_ALL_THREADS does the same but for all threads. // // The verification of the assertion is done correctly even when the statement // throws an exception or aborts the current function. // // Known restrictions: // - 'statement' cannot reference local non-static variables or // non-static members of the current object. // - 'statement' cannot return a value. // - You cannot stream a failure message to this macro. // // Note that even though the implementations of the following two // macros are much alike, we cannot refactor them to use a common // helper macro, due to some peculiarity in how the preprocessor // works. The AcceptsMacroThatExpandsToUnprotectedComma test in // gtest_unittest.cc will fail to compile if we do that. #define EXPECT_FATAL_FAILURE(statement, substr) \ do { \ class GTestExpectFatalFailureHelper {\ public:\ static void Execute() { statement; }\ };\ ::testing::TestPartResultArray gtest_failures;\ ::testing::internal::SingleFailureChecker gtest_checker(\ >est_failures, ::testing::TestPartResult::kFatalFailure, (substr));\ {\ ::testing::ScopedFakeTestPartResultReporter gtest_reporter(\ ::testing::ScopedFakeTestPartResultReporter:: \ INTERCEPT_ONLY_CURRENT_THREAD, >est_failures);\ GTestExpectFatalFailureHelper::Execute();\ }\ } while (::testing::internal::AlwaysFalse()) #define EXPECT_FATAL_FAILURE_ON_ALL_THREADS(statement, substr) \ do { \ class GTestExpectFatalFailureHelper {\ public:\ static void Execute() { statement; }\ };\ ::testing::TestPartResultArray gtest_failures;\ ::testing::internal::SingleFailureChecker gtest_checker(\ >est_failures, ::testing::TestPartResult::kFatalFailure, (substr));\ {\ ::testing::ScopedFakeTestPartResultReporter gtest_reporter(\ ::testing::ScopedFakeTestPartResultReporter:: \ INTERCEPT_ALL_THREADS, >est_failures);\ GTestExpectFatalFailureHelper::Execute();\ }\ } while (::testing::internal::AlwaysFalse()) // A macro for testing Google Test assertions or code that's expected to // generate Google Test non-fatal failures. It asserts that the given // statement will cause exactly one non-fatal Google Test failure with 'substr' // being part of the failure message. // // There are two different versions of this macro. EXPECT_NONFATAL_FAILURE only // affects and considers failures generated in the current thread and // EXPECT_NONFATAL_FAILURE_ON_ALL_THREADS does the same but for all threads. // // 'statement' is allowed to reference local variables and members of // the current object. // // The verification of the assertion is done correctly even when the statement // throws an exception or aborts the current function. // // Known restrictions: // - You cannot stream a failure message to this macro. // // Note that even though the implementations of the following two // macros are much alike, we cannot refactor them to use a common // helper macro, due to some peculiarity in how the preprocessor // works. If we do that, the code won't compile when the user gives // EXPECT_NONFATAL_FAILURE() a statement that contains a macro that // expands to code containing an unprotected comma. The // AcceptsMacroThatExpandsToUnprotectedComma test in gtest_unittest.cc // catches that. // // For the same reason, we have to write // if (::testing::internal::AlwaysTrue()) { statement; } // instead of // GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement) // to avoid an MSVC warning on unreachable code. #define EXPECT_NONFATAL_FAILURE(statement, substr) \ do {\ ::testing::TestPartResultArray gtest_failures;\ ::testing::internal::SingleFailureChecker gtest_checker(\ >est_failures, ::testing::TestPartResult::kNonFatalFailure, \ (substr));\ {\ ::testing::ScopedFakeTestPartResultReporter gtest_reporter(\ ::testing::ScopedFakeTestPartResultReporter:: \ INTERCEPT_ONLY_CURRENT_THREAD, >est_failures);\ if (::testing::internal::AlwaysTrue()) { statement; }\ }\ } while (::testing::internal::AlwaysFalse()) #define EXPECT_NONFATAL_FAILURE_ON_ALL_THREADS(statement, substr) \ do {\ ::testing::TestPartResultArray gtest_failures;\ ::testing::internal::SingleFailureChecker gtest_checker(\ >est_failures, ::testing::TestPartResult::kNonFatalFailure, \ (substr));\ {\ ::testing::ScopedFakeTestPartResultReporter gtest_reporter(\ ::testing::ScopedFakeTestPartResultReporter::INTERCEPT_ALL_THREADS, \ >est_failures);\ if (::testing::internal::AlwaysTrue()) { statement; }\ }\ } while (::testing::internal::AlwaysFalse()) #endif // GTEST_INCLUDE_GTEST_GTEST_SPI_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest-test-part.h0000644000175100017510000001455515112307767025421 0ustar00runnerrunner// Copyright 2008, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: mheule@google.com (Markus Heule) // #ifndef GTEST_INCLUDE_GTEST_GTEST_TEST_PART_H_ #define GTEST_INCLUDE_GTEST_GTEST_TEST_PART_H_ #include #include #include "gtest/internal/gtest-internal.h" #include "gtest/internal/gtest-string.h" namespace testing { // A copyable object representing the result of a test part (i.e. an // assertion or an explicit FAIL(), ADD_FAILURE(), or SUCCESS()). // // Don't inherit from TestPartResult as its destructor is not virtual. class GTEST_API_ TestPartResult { public: // The possible outcomes of a test part (i.e. an assertion or an // explicit SUCCEED(), FAIL(), or ADD_FAILURE()). enum Type { kSuccess, // Succeeded. kNonFatalFailure, // Failed but the test can continue. kFatalFailure // Failed and the test should be terminated. }; // C'tor. TestPartResult does NOT have a default constructor. // Always use this constructor (with parameters) to create a // TestPartResult object. TestPartResult(Type a_type, const char* a_file_name, int a_line_number, const char* a_message) : type_(a_type), file_name_(a_file_name == NULL ? "" : a_file_name), line_number_(a_line_number), summary_(ExtractSummary(a_message)), message_(a_message) { } // Gets the outcome of the test part. Type type() const { return type_; } // Gets the name of the source file where the test part took place, or // NULL if it's unknown. const char* file_name() const { return file_name_.empty() ? NULL : file_name_.c_str(); } // Gets the line in the source file where the test part took place, // or -1 if it's unknown. int line_number() const { return line_number_; } // Gets the summary of the failure message. const char* summary() const { return summary_.c_str(); } // Gets the message associated with the test part. const char* message() const { return message_.c_str(); } // Returns true iff the test part passed. bool passed() const { return type_ == kSuccess; } // Returns true iff the test part failed. bool failed() const { return type_ != kSuccess; } // Returns true iff the test part non-fatally failed. bool nonfatally_failed() const { return type_ == kNonFatalFailure; } // Returns true iff the test part fatally failed. bool fatally_failed() const { return type_ == kFatalFailure; } private: Type type_; // Gets the summary of the failure message by omitting the stack // trace in it. static std::string ExtractSummary(const char* message); // The name of the source file where the test part took place, or // "" if the source file is unknown. std::string file_name_; // The line in the source file where the test part took place, or -1 // if the line number is unknown. int line_number_; std::string summary_; // The test failure summary. std::string message_; // The test failure message. }; // Prints a TestPartResult object. std::ostream& operator<<(std::ostream& os, const TestPartResult& result); // An array of TestPartResult objects. // // Don't inherit from TestPartResultArray as its destructor is not // virtual. class GTEST_API_ TestPartResultArray { public: TestPartResultArray() {} // Appends the given TestPartResult to the array. void Append(const TestPartResult& result); // Returns the TestPartResult at the given index (0-based). const TestPartResult& GetTestPartResult(int index) const; // Returns the number of TestPartResult objects in the array. int size() const; private: std::vector array_; GTEST_DISALLOW_COPY_AND_ASSIGN_(TestPartResultArray); }; // This interface knows how to report a test part result. class TestPartResultReporterInterface { public: virtual ~TestPartResultReporterInterface() {} virtual void ReportTestPartResult(const TestPartResult& result) = 0; }; namespace internal { // This helper class is used by {ASSERT|EXPECT}_NO_FATAL_FAILURE to check if a // statement generates new fatal failures. To do so it registers itself as the // current test part result reporter. Besides checking if fatal failures were // reported, it only delegates the reporting to the former result reporter. // The original result reporter is restored in the destructor. // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. class GTEST_API_ HasNewFatalFailureHelper : public TestPartResultReporterInterface { public: HasNewFatalFailureHelper(); virtual ~HasNewFatalFailureHelper(); virtual void ReportTestPartResult(const TestPartResult& result); bool has_new_fatal_failure() const { return has_new_fatal_failure_; } private: bool has_new_fatal_failure_; TestPartResultReporterInterface* original_reporter_; GTEST_DISALLOW_COPY_AND_ASSIGN_(HasNewFatalFailureHelper); }; } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_GTEST_TEST_PART_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest-typed-test.h0000644000175100017510000002433315112307767025573 0ustar00runnerrunner// Copyright 2008 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) #ifndef GTEST_INCLUDE_GTEST_GTEST_TYPED_TEST_H_ #define GTEST_INCLUDE_GTEST_GTEST_TYPED_TEST_H_ // This header implements typed tests and type-parameterized tests. // Typed (aka type-driven) tests repeat the same test for types in a // list. You must know which types you want to test with when writing // typed tests. Here's how you do it: #if 0 // First, define a fixture class template. It should be parameterized // by a type. Remember to derive it from testing::Test. template class FooTest : public testing::Test { public: ... typedef std::list List; static T shared_; T value_; }; // Next, associate a list of types with the test case, which will be // repeated for each type in the list. The typedef is necessary for // the macro to parse correctly. typedef testing::Types MyTypes; TYPED_TEST_CASE(FooTest, MyTypes); // If the type list contains only one type, you can write that type // directly without Types<...>: // TYPED_TEST_CASE(FooTest, int); // Then, use TYPED_TEST() instead of TEST_F() to define as many typed // tests for this test case as you want. TYPED_TEST(FooTest, DoesBlah) { // Inside a test, refer to TypeParam to get the type parameter. // Since we are inside a derived class template, C++ requires use to // visit the members of FooTest via 'this'. TypeParam n = this->value_; // To visit static members of the fixture, add the TestFixture:: // prefix. n += TestFixture::shared_; // To refer to typedefs in the fixture, add the "typename // TestFixture::" prefix. typename TestFixture::List values; values.push_back(n); ... } TYPED_TEST(FooTest, HasPropertyA) { ... } #endif // 0 // Type-parameterized tests are abstract test patterns parameterized // by a type. Compared with typed tests, type-parameterized tests // allow you to define the test pattern without knowing what the type // parameters are. The defined pattern can be instantiated with // different types any number of times, in any number of translation // units. // // If you are designing an interface or concept, you can define a // suite of type-parameterized tests to verify properties that any // valid implementation of the interface/concept should have. Then, // each implementation can easily instantiate the test suite to verify // that it conforms to the requirements, without having to write // similar tests repeatedly. Here's an example: #if 0 // First, define a fixture class template. It should be parameterized // by a type. Remember to derive it from testing::Test. template class FooTest : public testing::Test { ... }; // Next, declare that you will define a type-parameterized test case // (the _P suffix is for "parameterized" or "pattern", whichever you // prefer): TYPED_TEST_CASE_P(FooTest); // Then, use TYPED_TEST_P() to define as many type-parameterized tests // for this type-parameterized test case as you want. TYPED_TEST_P(FooTest, DoesBlah) { // Inside a test, refer to TypeParam to get the type parameter. TypeParam n = 0; ... } TYPED_TEST_P(FooTest, HasPropertyA) { ... } // Now the tricky part: you need to register all test patterns before // you can instantiate them. The first argument of the macro is the // test case name; the rest are the names of the tests in this test // case. REGISTER_TYPED_TEST_CASE_P(FooTest, DoesBlah, HasPropertyA); // Finally, you are free to instantiate the pattern with the types you // want. If you put the above code in a header file, you can #include // it in multiple C++ source files and instantiate it multiple times. // // To distinguish different instances of the pattern, the first // argument to the INSTANTIATE_* macro is a prefix that will be added // to the actual test case name. Remember to pick unique prefixes for // different instances. typedef testing::Types MyTypes; INSTANTIATE_TYPED_TEST_CASE_P(My, FooTest, MyTypes); // If the type list contains only one type, you can write that type // directly without Types<...>: // INSTANTIATE_TYPED_TEST_CASE_P(My, FooTest, int); #endif // 0 #include "gtest/internal/gtest-port.h" #include "gtest/internal/gtest-type-util.h" // Implements typed tests. #if GTEST_HAS_TYPED_TEST // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Expands to the name of the typedef for the type parameters of the // given test case. # define GTEST_TYPE_PARAMS_(TestCaseName) gtest_type_params_##TestCaseName##_ // The 'Types' template argument below must have spaces around it // since some compilers may choke on '>>' when passing a template // instance (e.g. Types) # define TYPED_TEST_CASE(CaseName, Types) \ typedef ::testing::internal::TypeList< Types >::type \ GTEST_TYPE_PARAMS_(CaseName) # define TYPED_TEST(CaseName, TestName) \ template \ class GTEST_TEST_CLASS_NAME_(CaseName, TestName) \ : public CaseName { \ private: \ typedef CaseName TestFixture; \ typedef gtest_TypeParam_ TypeParam; \ virtual void TestBody(); \ }; \ bool gtest_##CaseName##_##TestName##_registered_ GTEST_ATTRIBUTE_UNUSED_ = \ ::testing::internal::TypeParameterizedTest< \ CaseName, \ ::testing::internal::TemplateSel< \ GTEST_TEST_CLASS_NAME_(CaseName, TestName)>, \ GTEST_TYPE_PARAMS_(CaseName)>::Register(\ "", ::testing::internal::CodeLocation(__FILE__, __LINE__), \ #CaseName, #TestName, 0); \ template \ void GTEST_TEST_CLASS_NAME_(CaseName, TestName)::TestBody() #endif // GTEST_HAS_TYPED_TEST // Implements type-parameterized tests. #if GTEST_HAS_TYPED_TEST_P // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Expands to the namespace name that the type-parameterized tests for // the given type-parameterized test case are defined in. The exact // name of the namespace is subject to change without notice. # define GTEST_CASE_NAMESPACE_(TestCaseName) \ gtest_case_##TestCaseName##_ // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Expands to the name of the variable used to remember the names of // the defined tests in the given test case. # define GTEST_TYPED_TEST_CASE_P_STATE_(TestCaseName) \ gtest_typed_test_case_p_state_##TestCaseName##_ // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE DIRECTLY. // // Expands to the name of the variable used to remember the names of // the registered tests in the given test case. # define GTEST_REGISTERED_TEST_NAMES_(TestCaseName) \ gtest_registered_test_names_##TestCaseName##_ // The variables defined in the type-parameterized test macros are // static as typically these macros are used in a .h file that can be // #included in multiple translation units linked together. # define TYPED_TEST_CASE_P(CaseName) \ static ::testing::internal::TypedTestCasePState \ GTEST_TYPED_TEST_CASE_P_STATE_(CaseName) # define TYPED_TEST_P(CaseName, TestName) \ namespace GTEST_CASE_NAMESPACE_(CaseName) { \ template \ class TestName : public CaseName { \ private: \ typedef CaseName TestFixture; \ typedef gtest_TypeParam_ TypeParam; \ virtual void TestBody(); \ }; \ static bool gtest_##TestName##_defined_ GTEST_ATTRIBUTE_UNUSED_ = \ GTEST_TYPED_TEST_CASE_P_STATE_(CaseName).AddTestName(\ __FILE__, __LINE__, #CaseName, #TestName); \ } \ template \ void GTEST_CASE_NAMESPACE_(CaseName)::TestName::TestBody() # define REGISTER_TYPED_TEST_CASE_P(CaseName, ...) \ namespace GTEST_CASE_NAMESPACE_(CaseName) { \ typedef ::testing::internal::Templates<__VA_ARGS__>::type gtest_AllTests_; \ } \ static const char* const GTEST_REGISTERED_TEST_NAMES_(CaseName) = \ GTEST_TYPED_TEST_CASE_P_STATE_(CaseName).VerifyRegisteredTestNames(\ __FILE__, __LINE__, #__VA_ARGS__) // The 'Types' template argument below must have spaces around it // since some compilers may choke on '>>' when passing a template // instance (e.g. Types) # define INSTANTIATE_TYPED_TEST_CASE_P(Prefix, CaseName, Types) \ bool gtest_##Prefix##_##CaseName GTEST_ATTRIBUTE_UNUSED_ = \ ::testing::internal::TypeParameterizedTestCase::type>::Register(\ #Prefix, \ ::testing::internal::CodeLocation(__FILE__, __LINE__), \ >EST_TYPED_TEST_CASE_P_STATE_(CaseName), \ #CaseName, GTEST_REGISTERED_TEST_NAMES_(CaseName)) #endif // GTEST_HAS_TYPED_TEST_P #endif // GTEST_INCLUDE_GTEST_GTEST_TYPED_TEST_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest.h0000644000175100017510000024672315112307767023504 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // // The Google C++ Testing Framework (Google Test) // // This header file defines the public API for Google Test. It should be // included by any test program that uses Google Test. // // IMPORTANT NOTE: Due to limitation of the C++ language, we have to // leave some internal implementation details in this header file. // They are clearly marked by comments like this: // // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. // // Such code is NOT meant to be used by a user directly, and is subject // to CHANGE WITHOUT NOTICE. Therefore DO NOT DEPEND ON IT in a user // program! // // Acknowledgment: Google Test borrowed the idea of automatic test // registration from Barthelemy Dagenais' (barthelemy@prologique.com) // easyUnit framework. #ifndef GTEST_INCLUDE_GTEST_GTEST_H_ #define GTEST_INCLUDE_GTEST_GTEST_H_ #include #include #include #include "gtest/internal/gtest-internal.h" #include "gtest/internal/gtest-string.h" #include "gtest/gtest-death-test.h" #include "gtest/gtest-message.h" #include "gtest/gtest-param-test.h" #include "gtest/gtest-printers.h" #include "gtest/gtest_prod.h" #include "gtest/gtest-test-part.h" #include "gtest/gtest-typed-test.h" // Depending on the platform, different string classes are available. // On Linux, in addition to ::std::string, Google also makes use of // class ::string, which has the same interface as ::std::string, but // has a different implementation. // // You can define GTEST_HAS_GLOBAL_STRING to 1 to indicate that // ::string is available AND is a distinct type to ::std::string, or // define it to 0 to indicate otherwise. // // If ::std::string and ::string are the same class on your platform // due to aliasing, you should define GTEST_HAS_GLOBAL_STRING to 0. // // If you do not define GTEST_HAS_GLOBAL_STRING, it is defined // heuristically. namespace testing { // Declares the flags. // This flag temporary enables the disabled tests. GTEST_DECLARE_bool_(also_run_disabled_tests); // This flag brings the debugger on an assertion failure. GTEST_DECLARE_bool_(break_on_failure); // This flag controls whether Google Test catches all test-thrown exceptions // and logs them as failures. GTEST_DECLARE_bool_(catch_exceptions); // This flag enables using colors in terminal output. Available values are // "yes" to enable colors, "no" (disable colors), or "auto" (the default) // to let Google Test decide. GTEST_DECLARE_string_(color); // This flag sets up the filter to select by name using a glob pattern // the tests to run. If the filter is not given all tests are executed. GTEST_DECLARE_string_(filter); // This flag causes the Google Test to list tests. None of the tests listed // are actually run if the flag is provided. GTEST_DECLARE_bool_(list_tests); // This flag controls whether Google Test emits a detailed XML report to a file // in addition to its normal textual output. GTEST_DECLARE_string_(output); // This flags control whether Google Test prints the elapsed time for each // test. GTEST_DECLARE_bool_(print_time); // This flag specifies the random number seed. GTEST_DECLARE_int32_(random_seed); // This flag sets how many times the tests are repeated. The default value // is 1. If the value is -1 the tests are repeating forever. GTEST_DECLARE_int32_(repeat); // This flag controls whether Google Test includes Google Test internal // stack frames in failure stack traces. GTEST_DECLARE_bool_(show_internal_stack_frames); // When this flag is specified, tests' order is randomized on every iteration. GTEST_DECLARE_bool_(shuffle); // This flag specifies the maximum number of stack frames to be // printed in a failure message. GTEST_DECLARE_int32_(stack_trace_depth); // When this flag is specified, a failed assertion will throw an // exception if exceptions are enabled, or exit the program with a // non-zero code otherwise. GTEST_DECLARE_bool_(throw_on_failure); // When this flag is set with a "host:port" string, on supported // platforms test results are streamed to the specified port on // the specified host machine. GTEST_DECLARE_string_(stream_result_to); // The upper limit for valid stack trace depths. const int kMaxStackTraceDepth = 100; namespace internal { class AssertHelper; class DefaultGlobalTestPartResultReporter; class ExecDeathTest; class NoExecDeathTest; class FinalSuccessChecker; class GTestFlagSaver; class StreamingListenerTest; class TestResultAccessor; class TestEventListenersAccessor; class TestEventRepeater; class UnitTestRecordPropertyTestHelper; class WindowsDeathTest; class UnitTestImpl* GetUnitTestImpl(); void ReportFailureInUnknownLocation(TestPartResult::Type result_type, const std::string& message); } // namespace internal // The friend relationship of some of these classes is cyclic. // If we don't forward declare them the compiler might confuse the classes // in friendship clauses with same named classes on the scope. class Test; class TestCase; class TestInfo; class UnitTest; // A class for indicating whether an assertion was successful. When // the assertion wasn't successful, the AssertionResult object // remembers a non-empty message that describes how it failed. // // To create an instance of this class, use one of the factory functions // (AssertionSuccess() and AssertionFailure()). // // This class is useful for two purposes: // 1. Defining predicate functions to be used with Boolean test assertions // EXPECT_TRUE/EXPECT_FALSE and their ASSERT_ counterparts // 2. Defining predicate-format functions to be // used with predicate assertions (ASSERT_PRED_FORMAT*, etc). // // For example, if you define IsEven predicate: // // testing::AssertionResult IsEven(int n) { // if ((n % 2) == 0) // return testing::AssertionSuccess(); // else // return testing::AssertionFailure() << n << " is odd"; // } // // Then the failed expectation EXPECT_TRUE(IsEven(Fib(5))) // will print the message // // Value of: IsEven(Fib(5)) // Actual: false (5 is odd) // Expected: true // // instead of a more opaque // // Value of: IsEven(Fib(5)) // Actual: false // Expected: true // // in case IsEven is a simple Boolean predicate. // // If you expect your predicate to be reused and want to support informative // messages in EXPECT_FALSE and ASSERT_FALSE (negative assertions show up // about half as often as positive ones in our tests), supply messages for // both success and failure cases: // // testing::AssertionResult IsEven(int n) { // if ((n % 2) == 0) // return testing::AssertionSuccess() << n << " is even"; // else // return testing::AssertionFailure() << n << " is odd"; // } // // Then a statement EXPECT_FALSE(IsEven(Fib(6))) will print // // Value of: IsEven(Fib(6)) // Actual: true (8 is even) // Expected: false // // NB: Predicates that support negative Boolean assertions have reduced // performance in positive ones so be careful not to use them in tests // that have lots (tens of thousands) of positive Boolean assertions. // // To use this class with EXPECT_PRED_FORMAT assertions such as: // // // Verifies that Foo() returns an even number. // EXPECT_PRED_FORMAT1(IsEven, Foo()); // // you need to define: // // testing::AssertionResult IsEven(const char* expr, int n) { // if ((n % 2) == 0) // return testing::AssertionSuccess(); // else // return testing::AssertionFailure() // << "Expected: " << expr << " is even\n Actual: it's " << n; // } // // If Foo() returns 5, you will see the following message: // // Expected: Foo() is even // Actual: it's 5 // class GTEST_API_ AssertionResult { public: // Copy constructor. // Used in EXPECT_TRUE/FALSE(assertion_result). AssertionResult(const AssertionResult& other); GTEST_DISABLE_MSC_WARNINGS_PUSH_(4800 /* forcing value to bool */) // Used in the EXPECT_TRUE/FALSE(bool_expression). // // T must be contextually convertible to bool. // // The second parameter prevents this overload from being considered if // the argument is implicitly convertible to AssertionResult. In that case // we want AssertionResult's copy constructor to be used. template explicit AssertionResult( const T& success, typename internal::EnableIf< !internal::ImplicitlyConvertible::value>::type* /*enabler*/ = NULL) : success_(success) {} GTEST_DISABLE_MSC_WARNINGS_POP_() // Assignment operator. AssertionResult& operator=(AssertionResult other) { swap(other); return *this; } // Returns true iff the assertion succeeded. operator bool() const { return success_; } // NOLINT // Returns the assertion's negation. Used with EXPECT/ASSERT_FALSE. AssertionResult operator!() const; // Returns the text streamed into this AssertionResult. Test assertions // use it when they fail (i.e., the predicate's outcome doesn't match the // assertion's expectation). When nothing has been streamed into the // object, returns an empty string. const char* message() const { return message_.get() != NULL ? message_->c_str() : ""; } // TODO(vladl@google.com): Remove this after making sure no clients use it. // Deprecated; please use message() instead. const char* failure_message() const { return message(); } // Streams a custom failure message into this object. template AssertionResult& operator<<(const T& value) { AppendMessage(Message() << value); return *this; } // Allows streaming basic output manipulators such as endl or flush into // this object. AssertionResult& operator<<( ::std::ostream& (*basic_manipulator)(::std::ostream& stream)) { AppendMessage(Message() << basic_manipulator); return *this; } private: // Appends the contents of message to message_. void AppendMessage(const Message& a_message) { if (message_.get() == NULL) message_.reset(new ::std::string); message_->append(a_message.GetString().c_str()); } // Swap the contents of this AssertionResult with other. void swap(AssertionResult& other); // Stores result of the assertion predicate. bool success_; // Stores the message describing the condition in case the expectation // construct is not satisfied with the predicate's outcome. // Referenced via a pointer to avoid taking too much stack frame space // with test assertions. internal::scoped_ptr< ::std::string> message_; }; // Makes a successful assertion result. GTEST_API_ AssertionResult AssertionSuccess(); // Makes a failed assertion result. GTEST_API_ AssertionResult AssertionFailure(); // Makes a failed assertion result with the given failure message. // Deprecated; use AssertionFailure() << msg. GTEST_API_ AssertionResult AssertionFailure(const Message& msg); // The abstract class that all tests inherit from. // // In Google Test, a unit test program contains one or many TestCases, and // each TestCase contains one or many Tests. // // When you define a test using the TEST macro, you don't need to // explicitly derive from Test - the TEST macro automatically does // this for you. // // The only time you derive from Test is when defining a test fixture // to be used a TEST_F. For example: // // class FooTest : public testing::Test { // protected: // void SetUp() override { ... } // void TearDown() override { ... } // ... // }; // // TEST_F(FooTest, Bar) { ... } // TEST_F(FooTest, Baz) { ... } // // Test is not copyable. class GTEST_API_ Test { public: friend class TestInfo; // Defines types for pointers to functions that set up and tear down // a test case. typedef internal::SetUpTestCaseFunc SetUpTestCaseFunc; typedef internal::TearDownTestCaseFunc TearDownTestCaseFunc; // The d'tor is virtual as we intend to inherit from Test. virtual ~Test(); // Sets up the stuff shared by all tests in this test case. // // Google Test will call Foo::SetUpTestCase() before running the first // test in test case Foo. Hence a sub-class can define its own // SetUpTestCase() method to shadow the one defined in the super // class. static void SetUpTestCase() {} // Tears down the stuff shared by all tests in this test case. // // Google Test will call Foo::TearDownTestCase() after running the last // test in test case Foo. Hence a sub-class can define its own // TearDownTestCase() method to shadow the one defined in the super // class. static void TearDownTestCase() {} // Returns true iff the current test has a fatal failure. static bool HasFatalFailure(); // Returns true iff the current test has a non-fatal failure. static bool HasNonfatalFailure(); // Returns true iff the current test has a (either fatal or // non-fatal) failure. static bool HasFailure() { return HasFatalFailure() || HasNonfatalFailure(); } // Logs a property for the current test, test case, or for the entire // invocation of the test program when used outside of the context of a // test case. Only the last value for a given key is remembered. These // are public static so they can be called from utility functions that are // not members of the test fixture. Calls to RecordProperty made during // lifespan of the test (from the moment its constructor starts to the // moment its destructor finishes) will be output in XML as attributes of // the element. Properties recorded from fixture's // SetUpTestCase or TearDownTestCase are logged as attributes of the // corresponding element. Calls to RecordProperty made in the // global context (before or after invocation of RUN_ALL_TESTS and from // SetUp/TearDown method of Environment objects registered with Google // Test) will be output as attributes of the element. static void RecordProperty(const std::string& key, const std::string& value); static void RecordProperty(const std::string& key, int value); protected: // Creates a Test object. Test(); // Sets up the test fixture. virtual void SetUp(); // Tears down the test fixture. virtual void TearDown(); private: // Returns true iff the current test has the same fixture class as // the first test in the current test case. static bool HasSameFixtureClass(); // Runs the test after the test fixture has been set up. // // A sub-class must implement this to define the test logic. // // DO NOT OVERRIDE THIS FUNCTION DIRECTLY IN A USER PROGRAM. // Instead, use the TEST or TEST_F macro. virtual void TestBody() = 0; // Sets up, executes, and tears down the test. void Run(); // Deletes self. We deliberately pick an unusual name for this // internal method to avoid clashing with names used in user TESTs. void DeleteSelf_() { delete this; } const internal::scoped_ptr< GTEST_FLAG_SAVER_ > gtest_flag_saver_; // Often a user misspells SetUp() as Setup() and spends a long time // wondering why it is never called by Google Test. The declaration of // the following method is solely for catching such an error at // compile time: // // - The return type is deliberately chosen to be not void, so it // will be a conflict if void Setup() is declared in the user's // test fixture. // // - This method is private, so it will be another compiler error // if the method is called from the user's test fixture. // // DO NOT OVERRIDE THIS FUNCTION. // // If you see an error about overriding the following function or // about it being private, you have mis-spelled SetUp() as Setup(). struct Setup_should_be_spelled_SetUp {}; virtual Setup_should_be_spelled_SetUp* Setup() { return NULL; } // We disallow copying Tests. GTEST_DISALLOW_COPY_AND_ASSIGN_(Test); }; typedef internal::TimeInMillis TimeInMillis; // A copyable object representing a user specified test property which can be // output as a key/value string pair. // // Don't inherit from TestProperty as its destructor is not virtual. class TestProperty { public: // C'tor. TestProperty does NOT have a default constructor. // Always use this constructor (with parameters) to create a // TestProperty object. TestProperty(const std::string& a_key, const std::string& a_value) : key_(a_key), value_(a_value) { } // Gets the user supplied key. const char* key() const { return key_.c_str(); } // Gets the user supplied value. const char* value() const { return value_.c_str(); } // Sets a new value, overriding the one supplied in the constructor. void SetValue(const std::string& new_value) { value_ = new_value; } private: // The key supplied by the user. std::string key_; // The value supplied by the user. std::string value_; }; // The result of a single Test. This includes a list of // TestPartResults, a list of TestProperties, a count of how many // death tests there are in the Test, and how much time it took to run // the Test. // // TestResult is not copyable. class GTEST_API_ TestResult { public: // Creates an empty TestResult. TestResult(); // D'tor. Do not inherit from TestResult. ~TestResult(); // Gets the number of all test parts. This is the sum of the number // of successful test parts and the number of failed test parts. int total_part_count() const; // Returns the number of the test properties. int test_property_count() const; // Returns true iff the test passed (i.e. no test part failed). bool Passed() const { return !Failed(); } // Returns true iff the test failed. bool Failed() const; // Returns true iff the test fatally failed. bool HasFatalFailure() const; // Returns true iff the test has a non-fatal failure. bool HasNonfatalFailure() const; // Returns the elapsed time, in milliseconds. TimeInMillis elapsed_time() const { return elapsed_time_; } // Returns the i-th test part result among all the results. i can range // from 0 to test_property_count() - 1. If i is not in that range, aborts // the program. const TestPartResult& GetTestPartResult(int i) const; // Returns the i-th test property. i can range from 0 to // test_property_count() - 1. If i is not in that range, aborts the // program. const TestProperty& GetTestProperty(int i) const; private: friend class TestInfo; friend class TestCase; friend class UnitTest; friend class internal::DefaultGlobalTestPartResultReporter; friend class internal::ExecDeathTest; friend class internal::TestResultAccessor; friend class internal::UnitTestImpl; friend class internal::WindowsDeathTest; // Gets the vector of TestPartResults. const std::vector& test_part_results() const { return test_part_results_; } // Gets the vector of TestProperties. const std::vector& test_properties() const { return test_properties_; } // Sets the elapsed time. void set_elapsed_time(TimeInMillis elapsed) { elapsed_time_ = elapsed; } // Adds a test property to the list. The property is validated and may add // a non-fatal failure if invalid (e.g., if it conflicts with reserved // key names). If a property is already recorded for the same key, the // value will be updated, rather than storing multiple values for the same // key. xml_element specifies the element for which the property is being // recorded and is used for validation. void RecordProperty(const std::string& xml_element, const TestProperty& test_property); // Adds a failure if the key is a reserved attribute of Google Test // testcase tags. Returns true if the property is valid. // TODO(russr): Validate attribute names are legal and human readable. static bool ValidateTestProperty(const std::string& xml_element, const TestProperty& test_property); // Adds a test part result to the list. void AddTestPartResult(const TestPartResult& test_part_result); // Returns the death test count. int death_test_count() const { return death_test_count_; } // Increments the death test count, returning the new count. int increment_death_test_count() { return ++death_test_count_; } // Clears the test part results. void ClearTestPartResults(); // Clears the object. void Clear(); // Protects mutable state of the property vector and of owned // properties, whose values may be updated. internal::Mutex test_properites_mutex_; // The vector of TestPartResults std::vector test_part_results_; // The vector of TestProperties std::vector test_properties_; // Running count of death tests. int death_test_count_; // The elapsed time, in milliseconds. TimeInMillis elapsed_time_; // We disallow copying TestResult. GTEST_DISALLOW_COPY_AND_ASSIGN_(TestResult); }; // class TestResult // A TestInfo object stores the following information about a test: // // Test case name // Test name // Whether the test should be run // A function pointer that creates the test object when invoked // Test result // // The constructor of TestInfo registers itself with the UnitTest // singleton such that the RUN_ALL_TESTS() macro knows which tests to // run. class GTEST_API_ TestInfo { public: // Destructs a TestInfo object. This function is not virtual, so // don't inherit from TestInfo. ~TestInfo(); // Returns the test case name. const char* test_case_name() const { return test_case_name_.c_str(); } // Returns the test name. const char* name() const { return name_.c_str(); } // Returns the name of the parameter type, or NULL if this is not a typed // or a type-parameterized test. const char* type_param() const { if (type_param_.get() != NULL) return type_param_->c_str(); return NULL; } // Returns the text representation of the value parameter, or NULL if this // is not a value-parameterized test. const char* value_param() const { if (value_param_.get() != NULL) return value_param_->c_str(); return NULL; } // Returns the file name where this test is defined. const char* file() const { return location_.file.c_str(); } // Returns the line where this test is defined. int line() const { return location_.line; } // Returns true if this test should run, that is if the test is not // disabled (or it is disabled but the also_run_disabled_tests flag has // been specified) and its full name matches the user-specified filter. // // Google Test allows the user to filter the tests by their full names. // The full name of a test Bar in test case Foo is defined as // "Foo.Bar". Only the tests that match the filter will run. // // A filter is a colon-separated list of glob (not regex) patterns, // optionally followed by a '-' and a colon-separated list of // negative patterns (tests to exclude). A test is run if it // matches one of the positive patterns and does not match any of // the negative patterns. // // For example, *A*:Foo.* is a filter that matches any string that // contains the character 'A' or starts with "Foo.". bool should_run() const { return should_run_; } // Returns true iff this test will appear in the XML report. bool is_reportable() const { // For now, the XML report includes all tests matching the filter. // In the future, we may trim tests that are excluded because of // sharding. return matches_filter_; } // Returns the result of the test. const TestResult* result() const { return &result_; } private: #if GTEST_HAS_DEATH_TEST friend class internal::DefaultDeathTestFactory; #endif // GTEST_HAS_DEATH_TEST friend class Test; friend class TestCase; friend class internal::UnitTestImpl; friend class internal::StreamingListenerTest; friend TestInfo* internal::MakeAndRegisterTestInfo( const char* test_case_name, const char* name, const char* type_param, const char* value_param, internal::CodeLocation code_location, internal::TypeId fixture_class_id, Test::SetUpTestCaseFunc set_up_tc, Test::TearDownTestCaseFunc tear_down_tc, internal::TestFactoryBase* factory); // Constructs a TestInfo object. The newly constructed instance assumes // ownership of the factory object. TestInfo(const std::string& test_case_name, const std::string& name, const char* a_type_param, // NULL if not a type-parameterized test const char* a_value_param, // NULL if not a value-parameterized test internal::CodeLocation a_code_location, internal::TypeId fixture_class_id, internal::TestFactoryBase* factory); // Increments the number of death tests encountered in this test so // far. int increment_death_test_count() { return result_.increment_death_test_count(); } // Creates the test object, runs it, records its result, and then // deletes it. void Run(); static void ClearTestResult(TestInfo* test_info) { test_info->result_.Clear(); } // These fields are immutable properties of the test. const std::string test_case_name_; // Test case name const std::string name_; // Test name // Name of the parameter type, or NULL if this is not a typed or a // type-parameterized test. const internal::scoped_ptr type_param_; // Text representation of the value parameter, or NULL if this is not a // value-parameterized test. const internal::scoped_ptr value_param_; internal::CodeLocation location_; const internal::TypeId fixture_class_id_; // ID of the test fixture class bool should_run_; // True iff this test should run bool is_disabled_; // True iff this test is disabled bool matches_filter_; // True if this test matches the // user-specified filter. internal::TestFactoryBase* const factory_; // The factory that creates // the test object // This field is mutable and needs to be reset before running the // test for the second time. TestResult result_; GTEST_DISALLOW_COPY_AND_ASSIGN_(TestInfo); }; // A test case, which consists of a vector of TestInfos. // // TestCase is not copyable. class GTEST_API_ TestCase { public: // Creates a TestCase with the given name. // // TestCase does NOT have a default constructor. Always use this // constructor to create a TestCase object. // // Arguments: // // name: name of the test case // a_type_param: the name of the test's type parameter, or NULL if // this is not a type-parameterized test. // set_up_tc: pointer to the function that sets up the test case // tear_down_tc: pointer to the function that tears down the test case TestCase(const char* name, const char* a_type_param, Test::SetUpTestCaseFunc set_up_tc, Test::TearDownTestCaseFunc tear_down_tc); // Destructor of TestCase. virtual ~TestCase(); // Gets the name of the TestCase. const char* name() const { return name_.c_str(); } // Returns the name of the parameter type, or NULL if this is not a // type-parameterized test case. const char* type_param() const { if (type_param_.get() != NULL) return type_param_->c_str(); return NULL; } // Returns true if any test in this test case should run. bool should_run() const { return should_run_; } // Gets the number of successful tests in this test case. int successful_test_count() const; // Gets the number of failed tests in this test case. int failed_test_count() const; // Gets the number of disabled tests that will be reported in the XML report. int reportable_disabled_test_count() const; // Gets the number of disabled tests in this test case. int disabled_test_count() const; // Gets the number of tests to be printed in the XML report. int reportable_test_count() const; // Get the number of tests in this test case that should run. int test_to_run_count() const; // Gets the number of all tests in this test case. int total_test_count() const; // Returns true iff the test case passed. bool Passed() const { return !Failed(); } // Returns true iff the test case failed. bool Failed() const { return failed_test_count() > 0; } // Returns the elapsed time, in milliseconds. TimeInMillis elapsed_time() const { return elapsed_time_; } // Returns the i-th test among all the tests. i can range from 0 to // total_test_count() - 1. If i is not in that range, returns NULL. const TestInfo* GetTestInfo(int i) const; // Returns the TestResult that holds test properties recorded during // execution of SetUpTestCase and TearDownTestCase. const TestResult& ad_hoc_test_result() const { return ad_hoc_test_result_; } private: friend class Test; friend class internal::UnitTestImpl; // Gets the (mutable) vector of TestInfos in this TestCase. std::vector& test_info_list() { return test_info_list_; } // Gets the (immutable) vector of TestInfos in this TestCase. const std::vector& test_info_list() const { return test_info_list_; } // Returns the i-th test among all the tests. i can range from 0 to // total_test_count() - 1. If i is not in that range, returns NULL. TestInfo* GetMutableTestInfo(int i); // Sets the should_run member. void set_should_run(bool should) { should_run_ = should; } // Adds a TestInfo to this test case. Will delete the TestInfo upon // destruction of the TestCase object. void AddTestInfo(TestInfo * test_info); // Clears the results of all tests in this test case. void ClearResult(); // Clears the results of all tests in the given test case. static void ClearTestCaseResult(TestCase* test_case) { test_case->ClearResult(); } // Runs every test in this TestCase. void Run(); // Runs SetUpTestCase() for this TestCase. This wrapper is needed // for catching exceptions thrown from SetUpTestCase(). void RunSetUpTestCase() { (*set_up_tc_)(); } // Runs TearDownTestCase() for this TestCase. This wrapper is // needed for catching exceptions thrown from TearDownTestCase(). void RunTearDownTestCase() { (*tear_down_tc_)(); } // Returns true iff test passed. static bool TestPassed(const TestInfo* test_info) { return test_info->should_run() && test_info->result()->Passed(); } // Returns true iff test failed. static bool TestFailed(const TestInfo* test_info) { return test_info->should_run() && test_info->result()->Failed(); } // Returns true iff the test is disabled and will be reported in the XML // report. static bool TestReportableDisabled(const TestInfo* test_info) { return test_info->is_reportable() && test_info->is_disabled_; } // Returns true iff test is disabled. static bool TestDisabled(const TestInfo* test_info) { return test_info->is_disabled_; } // Returns true iff this test will appear in the XML report. static bool TestReportable(const TestInfo* test_info) { return test_info->is_reportable(); } // Returns true if the given test should run. static bool ShouldRunTest(const TestInfo* test_info) { return test_info->should_run(); } // Shuffles the tests in this test case. void ShuffleTests(internal::Random* random); // Restores the test order to before the first shuffle. void UnshuffleTests(); // Name of the test case. std::string name_; // Name of the parameter type, or NULL if this is not a typed or a // type-parameterized test. const internal::scoped_ptr type_param_; // The vector of TestInfos in their original order. It owns the // elements in the vector. std::vector test_info_list_; // Provides a level of indirection for the test list to allow easy // shuffling and restoring the test order. The i-th element in this // vector is the index of the i-th test in the shuffled test list. std::vector test_indices_; // Pointer to the function that sets up the test case. Test::SetUpTestCaseFunc set_up_tc_; // Pointer to the function that tears down the test case. Test::TearDownTestCaseFunc tear_down_tc_; // True iff any test in this test case should run. bool should_run_; // Elapsed time, in milliseconds. TimeInMillis elapsed_time_; // Holds test properties recorded during execution of SetUpTestCase and // TearDownTestCase. TestResult ad_hoc_test_result_; // We disallow copying TestCases. GTEST_DISALLOW_COPY_AND_ASSIGN_(TestCase); }; // An Environment object is capable of setting up and tearing down an // environment. You should subclass this to define your own // environment(s). // // An Environment object does the set-up and tear-down in virtual // methods SetUp() and TearDown() instead of the constructor and the // destructor, as: // // 1. You cannot safely throw from a destructor. This is a problem // as in some cases Google Test is used where exceptions are enabled, and // we may want to implement ASSERT_* using exceptions where they are // available. // 2. You cannot use ASSERT_* directly in a constructor or // destructor. class Environment { public: // The d'tor is virtual as we need to subclass Environment. virtual ~Environment() {} // Override this to define how to set up the environment. virtual void SetUp() {} // Override this to define how to tear down the environment. virtual void TearDown() {} private: // If you see an error about overriding the following function or // about it being private, you have mis-spelled SetUp() as Setup(). struct Setup_should_be_spelled_SetUp {}; virtual Setup_should_be_spelled_SetUp* Setup() { return NULL; } }; // The interface for tracing execution of tests. The methods are organized in // the order the corresponding events are fired. class TestEventListener { public: virtual ~TestEventListener() {} // Fired before any test activity starts. virtual void OnTestProgramStart(const UnitTest& unit_test) = 0; // Fired before each iteration of tests starts. There may be more than // one iteration if GTEST_FLAG(repeat) is set. iteration is the iteration // index, starting from 0. virtual void OnTestIterationStart(const UnitTest& unit_test, int iteration) = 0; // Fired before environment set-up for each iteration of tests starts. virtual void OnEnvironmentsSetUpStart(const UnitTest& unit_test) = 0; // Fired after environment set-up for each iteration of tests ends. virtual void OnEnvironmentsSetUpEnd(const UnitTest& unit_test) = 0; // Fired before the test case starts. virtual void OnTestCaseStart(const TestCase& test_case) = 0; // Fired before the test starts. virtual void OnTestStart(const TestInfo& test_info) = 0; // Fired after a failed assertion or a SUCCEED() invocation. virtual void OnTestPartResult(const TestPartResult& test_part_result) = 0; // Fired after the test ends. virtual void OnTestEnd(const TestInfo& test_info) = 0; // Fired after the test case ends. virtual void OnTestCaseEnd(const TestCase& test_case) = 0; // Fired before environment tear-down for each iteration of tests starts. virtual void OnEnvironmentsTearDownStart(const UnitTest& unit_test) = 0; // Fired after environment tear-down for each iteration of tests ends. virtual void OnEnvironmentsTearDownEnd(const UnitTest& unit_test) = 0; // Fired after each iteration of tests finishes. virtual void OnTestIterationEnd(const UnitTest& unit_test, int iteration) = 0; // Fired after all test activities have ended. virtual void OnTestProgramEnd(const UnitTest& unit_test) = 0; }; // The convenience class for users who need to override just one or two // methods and are not concerned that a possible change to a signature of // the methods they override will not be caught during the build. For // comments about each method please see the definition of TestEventListener // above. class EmptyTestEventListener : public TestEventListener { public: virtual void OnTestProgramStart(const UnitTest& /*unit_test*/) {} virtual void OnTestIterationStart(const UnitTest& /*unit_test*/, int /*iteration*/) {} virtual void OnEnvironmentsSetUpStart(const UnitTest& /*unit_test*/) {} virtual void OnEnvironmentsSetUpEnd(const UnitTest& /*unit_test*/) {} virtual void OnTestCaseStart(const TestCase& /*test_case*/) {} virtual void OnTestStart(const TestInfo& /*test_info*/) {} virtual void OnTestPartResult(const TestPartResult& /*test_part_result*/) {} virtual void OnTestEnd(const TestInfo& /*test_info*/) {} virtual void OnTestCaseEnd(const TestCase& /*test_case*/) {} virtual void OnEnvironmentsTearDownStart(const UnitTest& /*unit_test*/) {} virtual void OnEnvironmentsTearDownEnd(const UnitTest& /*unit_test*/) {} virtual void OnTestIterationEnd(const UnitTest& /*unit_test*/, int /*iteration*/) {} virtual void OnTestProgramEnd(const UnitTest& /*unit_test*/) {} }; // TestEventListeners lets users add listeners to track events in Google Test. class GTEST_API_ TestEventListeners { public: TestEventListeners(); ~TestEventListeners(); // Appends an event listener to the end of the list. Google Test assumes // the ownership of the listener (i.e. it will delete the listener when // the test program finishes). void Append(TestEventListener* listener); // Removes the given event listener from the list and returns it. It then // becomes the caller's responsibility to delete the listener. Returns // NULL if the listener is not found in the list. TestEventListener* Release(TestEventListener* listener); // Returns the standard listener responsible for the default console // output. Can be removed from the listeners list to shut down default // console output. Note that removing this object from the listener list // with Release transfers its ownership to the caller and makes this // function return NULL the next time. TestEventListener* default_result_printer() const { return default_result_printer_; } // Returns the standard listener responsible for the default XML output // controlled by the --gtest_output=xml flag. Can be removed from the // listeners list by users who want to shut down the default XML output // controlled by this flag and substitute it with custom one. Note that // removing this object from the listener list with Release transfers its // ownership to the caller and makes this function return NULL the next // time. TestEventListener* default_xml_generator() const { return default_xml_generator_; } private: friend class TestCase; friend class TestInfo; friend class internal::DefaultGlobalTestPartResultReporter; friend class internal::NoExecDeathTest; friend class internal::TestEventListenersAccessor; friend class internal::UnitTestImpl; // Returns repeater that broadcasts the TestEventListener events to all // subscribers. TestEventListener* repeater(); // Sets the default_result_printer attribute to the provided listener. // The listener is also added to the listener list and previous // default_result_printer is removed from it and deleted. The listener can // also be NULL in which case it will not be added to the list. Does // nothing if the previous and the current listener objects are the same. void SetDefaultResultPrinter(TestEventListener* listener); // Sets the default_xml_generator attribute to the provided listener. The // listener is also added to the listener list and previous // default_xml_generator is removed from it and deleted. The listener can // also be NULL in which case it will not be added to the list. Does // nothing if the previous and the current listener objects are the same. void SetDefaultXmlGenerator(TestEventListener* listener); // Controls whether events will be forwarded by the repeater to the // listeners in the list. bool EventForwardingEnabled() const; void SuppressEventForwarding(); // The actual list of listeners. internal::TestEventRepeater* repeater_; // Listener responsible for the standard result output. TestEventListener* default_result_printer_; // Listener responsible for the creation of the XML output file. TestEventListener* default_xml_generator_; // We disallow copying TestEventListeners. GTEST_DISALLOW_COPY_AND_ASSIGN_(TestEventListeners); }; // A UnitTest consists of a vector of TestCases. // // This is a singleton class. The only instance of UnitTest is // created when UnitTest::GetInstance() is first called. This // instance is never deleted. // // UnitTest is not copyable. // // This class is thread-safe as long as the methods are called // according to their specification. class GTEST_API_ UnitTest { public: // Gets the singleton UnitTest object. The first time this method // is called, a UnitTest object is constructed and returned. // Consecutive calls will return the same object. static UnitTest* GetInstance(); // Runs all tests in this UnitTest object and prints the result. // Returns 0 if successful, or 1 otherwise. // // This method can only be called from the main thread. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. int Run() GTEST_MUST_USE_RESULT_; // Returns the working directory when the first TEST() or TEST_F() // was executed. The UnitTest object owns the string. const char* original_working_dir() const; // Returns the TestCase object for the test that's currently running, // or NULL if no test is running. const TestCase* current_test_case() const GTEST_LOCK_EXCLUDED_(mutex_); // Returns the TestInfo object for the test that's currently running, // or NULL if no test is running. const TestInfo* current_test_info() const GTEST_LOCK_EXCLUDED_(mutex_); // Returns the random seed used at the start of the current test run. int random_seed() const; #if GTEST_HAS_PARAM_TEST // Returns the ParameterizedTestCaseRegistry object used to keep track of // value-parameterized tests and instantiate and register them. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. internal::ParameterizedTestCaseRegistry& parameterized_test_registry() GTEST_LOCK_EXCLUDED_(mutex_); #endif // GTEST_HAS_PARAM_TEST // Gets the number of successful test cases. int successful_test_case_count() const; // Gets the number of failed test cases. int failed_test_case_count() const; // Gets the number of all test cases. int total_test_case_count() const; // Gets the number of all test cases that contain at least one test // that should run. int test_case_to_run_count() const; // Gets the number of successful tests. int successful_test_count() const; // Gets the number of failed tests. int failed_test_count() const; // Gets the number of disabled tests that will be reported in the XML report. int reportable_disabled_test_count() const; // Gets the number of disabled tests. int disabled_test_count() const; // Gets the number of tests to be printed in the XML report. int reportable_test_count() const; // Gets the number of all tests. int total_test_count() const; // Gets the number of tests that should run. int test_to_run_count() const; // Gets the time of the test program start, in ms from the start of the // UNIX epoch. TimeInMillis start_timestamp() const; // Gets the elapsed time, in milliseconds. TimeInMillis elapsed_time() const; // Returns true iff the unit test passed (i.e. all test cases passed). bool Passed() const; // Returns true iff the unit test failed (i.e. some test case failed // or something outside of all tests failed). bool Failed() const; // Gets the i-th test case among all the test cases. i can range from 0 to // total_test_case_count() - 1. If i is not in that range, returns NULL. const TestCase* GetTestCase(int i) const; // Returns the TestResult containing information on test failures and // properties logged outside of individual test cases. const TestResult& ad_hoc_test_result() const; // Returns the list of event listeners that can be used to track events // inside Google Test. TestEventListeners& listeners(); private: // Registers and returns a global test environment. When a test // program is run, all global test environments will be set-up in // the order they were registered. After all tests in the program // have finished, all global test environments will be torn-down in // the *reverse* order they were registered. // // The UnitTest object takes ownership of the given environment. // // This method can only be called from the main thread. Environment* AddEnvironment(Environment* env); // Adds a TestPartResult to the current TestResult object. All // Google Test assertion macros (e.g. ASSERT_TRUE, EXPECT_EQ, etc) // eventually call this to report their results. The user code // should use the assertion macros instead of calling this directly. void AddTestPartResult(TestPartResult::Type result_type, const char* file_name, int line_number, const std::string& message, const std::string& os_stack_trace) GTEST_LOCK_EXCLUDED_(mutex_); // Adds a TestProperty to the current TestResult object when invoked from // inside a test, to current TestCase's ad_hoc_test_result_ when invoked // from SetUpTestCase or TearDownTestCase, or to the global property set // when invoked elsewhere. If the result already contains a property with // the same key, the value will be updated. void RecordProperty(const std::string& key, const std::string& value); // Gets the i-th test case among all the test cases. i can range from 0 to // total_test_case_count() - 1. If i is not in that range, returns NULL. TestCase* GetMutableTestCase(int i); // Accessors for the implementation object. internal::UnitTestImpl* impl() { return impl_; } const internal::UnitTestImpl* impl() const { return impl_; } // These classes and funcions are friends as they need to access private // members of UnitTest. friend class Test; friend class internal::AssertHelper; friend class internal::ScopedTrace; friend class internal::StreamingListenerTest; friend class internal::UnitTestRecordPropertyTestHelper; friend Environment* AddGlobalTestEnvironment(Environment* env); friend internal::UnitTestImpl* internal::GetUnitTestImpl(); friend void internal::ReportFailureInUnknownLocation( TestPartResult::Type result_type, const std::string& message); // Creates an empty UnitTest. UnitTest(); // D'tor virtual ~UnitTest(); // Pushes a trace defined by SCOPED_TRACE() on to the per-thread // Google Test trace stack. void PushGTestTrace(const internal::TraceInfo& trace) GTEST_LOCK_EXCLUDED_(mutex_); // Pops a trace from the per-thread Google Test trace stack. void PopGTestTrace() GTEST_LOCK_EXCLUDED_(mutex_); // Protects mutable state in *impl_. This is mutable as some const // methods need to lock it too. mutable internal::Mutex mutex_; // Opaque implementation object. This field is never changed once // the object is constructed. We don't mark it as const here, as // doing so will cause a warning in the constructor of UnitTest. // Mutable state in *impl_ is protected by mutex_. internal::UnitTestImpl* impl_; // We disallow copying UnitTest. GTEST_DISALLOW_COPY_AND_ASSIGN_(UnitTest); }; // A convenient wrapper for adding an environment for the test // program. // // You should call this before RUN_ALL_TESTS() is called, probably in // main(). If you use gtest_main, you need to call this before main() // starts for it to take effect. For example, you can define a global // variable like this: // // testing::Environment* const foo_env = // testing::AddGlobalTestEnvironment(new FooEnvironment); // // However, we strongly recommend you to write your own main() and // call AddGlobalTestEnvironment() there, as relying on initialization // of global variables makes the code harder to read and may cause // problems when you register multiple environments from different // translation units and the environments have dependencies among them // (remember that the compiler doesn't guarantee the order in which // global variables from different translation units are initialized). inline Environment* AddGlobalTestEnvironment(Environment* env) { return UnitTest::GetInstance()->AddEnvironment(env); } // Initializes Google Test. This must be called before calling // RUN_ALL_TESTS(). In particular, it parses a command line for the // flags that Google Test recognizes. Whenever a Google Test flag is // seen, it is removed from argv, and *argc is decremented. // // No value is returned. Instead, the Google Test flag variables are // updated. // // Calling the function for the second time has no user-visible effect. GTEST_API_ void InitGoogleTest(int* argc, char** argv); // This overloaded version can be used in Windows programs compiled in // UNICODE mode. GTEST_API_ void InitGoogleTest(int* argc, wchar_t** argv); namespace internal { // Separate the error generating code from the code path to reduce the stack // frame size of CmpHelperEQ. This helps reduce the overhead of some sanitizers // when calling EXPECT_* in a tight loop. template AssertionResult CmpHelperEQFailure(const char* lhs_expression, const char* rhs_expression, const T1& lhs, const T2& rhs) { return EqFailure(lhs_expression, rhs_expression, FormatForComparisonFailureMessage(lhs, rhs), FormatForComparisonFailureMessage(rhs, lhs), false); } // The helper function for {ASSERT|EXPECT}_EQ. template AssertionResult CmpHelperEQ(const char* lhs_expression, const char* rhs_expression, const T1& lhs, const T2& rhs) { GTEST_DISABLE_MSC_WARNINGS_PUSH_(4389 /* signed/unsigned mismatch */) if (lhs == rhs) { return AssertionSuccess(); } GTEST_DISABLE_MSC_WARNINGS_POP_() return CmpHelperEQFailure(lhs_expression, rhs_expression, lhs, rhs); } // With this overloaded version, we allow anonymous enums to be used // in {ASSERT|EXPECT}_EQ when compiled with gcc 4, as anonymous enums // can be implicitly cast to BiggestInt. GTEST_API_ AssertionResult CmpHelperEQ(const char* lhs_expression, const char* rhs_expression, BiggestInt lhs, BiggestInt rhs); // The helper class for {ASSERT|EXPECT}_EQ. The template argument // lhs_is_null_literal is true iff the first argument to ASSERT_EQ() // is a null pointer literal. The following default implementation is // for lhs_is_null_literal being false. template class EqHelper { public: // This templatized version is for the general case. template static AssertionResult Compare(const char* lhs_expression, const char* rhs_expression, const T1& lhs, const T2& rhs) { return CmpHelperEQ(lhs_expression, rhs_expression, lhs, rhs); } // With this overloaded version, we allow anonymous enums to be used // in {ASSERT|EXPECT}_EQ when compiled with gcc 4, as anonymous // enums can be implicitly cast to BiggestInt. // // Even though its body looks the same as the above version, we // cannot merge the two, as it will make anonymous enums unhappy. static AssertionResult Compare(const char* lhs_expression, const char* rhs_expression, BiggestInt lhs, BiggestInt rhs) { return CmpHelperEQ(lhs_expression, rhs_expression, lhs, rhs); } }; // This specialization is used when the first argument to ASSERT_EQ() // is a null pointer literal, like NULL, false, or 0. template <> class EqHelper { public: // We define two overloaded versions of Compare(). The first // version will be picked when the second argument to ASSERT_EQ() is // NOT a pointer, e.g. ASSERT_EQ(0, AnIntFunction()) or // EXPECT_EQ(false, a_bool). template static AssertionResult Compare( const char* lhs_expression, const char* rhs_expression, const T1& lhs, const T2& rhs, // The following line prevents this overload from being considered if T2 // is not a pointer type. We need this because ASSERT_EQ(NULL, my_ptr) // expands to Compare("", "", NULL, my_ptr), which requires a conversion // to match the Secret* in the other overload, which would otherwise make // this template match better. typename EnableIf::value>::type* = 0) { return CmpHelperEQ(lhs_expression, rhs_expression, lhs, rhs); } // This version will be picked when the second argument to ASSERT_EQ() is a // pointer, e.g. ASSERT_EQ(NULL, a_pointer). template static AssertionResult Compare( const char* lhs_expression, const char* rhs_expression, // We used to have a second template parameter instead of Secret*. That // template parameter would deduce to 'long', making this a better match // than the first overload even without the first overload's EnableIf. // Unfortunately, gcc with -Wconversion-null warns when "passing NULL to // non-pointer argument" (even a deduced integral argument), so the old // implementation caused warnings in user code. Secret* /* lhs (NULL) */, T* rhs) { // We already know that 'lhs' is a null pointer. return CmpHelperEQ(lhs_expression, rhs_expression, static_cast(NULL), rhs); } }; // Separate the error generating code from the code path to reduce the stack // frame size of CmpHelperOP. This helps reduce the overhead of some sanitizers // when calling EXPECT_OP in a tight loop. template AssertionResult CmpHelperOpFailure(const char* expr1, const char* expr2, const T1& val1, const T2& val2, const char* op) { return AssertionFailure() << "Expected: (" << expr1 << ") " << op << " (" << expr2 << "), actual: " << FormatForComparisonFailureMessage(val1, val2) << " vs " << FormatForComparisonFailureMessage(val2, val1); } // A macro for implementing the helper functions needed to implement // ASSERT_?? and EXPECT_??. It is here just to avoid copy-and-paste // of similar code. // // For each templatized helper function, we also define an overloaded // version for BiggestInt in order to reduce code bloat and allow // anonymous enums to be used with {ASSERT|EXPECT}_?? when compiled // with gcc 4. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. #define GTEST_IMPL_CMP_HELPER_(op_name, op)\ template \ AssertionResult CmpHelper##op_name(const char* expr1, const char* expr2, \ const T1& val1, const T2& val2) {\ if (val1 op val2) {\ return AssertionSuccess();\ } else {\ return CmpHelperOpFailure(expr1, expr2, val1, val2, #op);\ }\ }\ GTEST_API_ AssertionResult CmpHelper##op_name(\ const char* expr1, const char* expr2, BiggestInt val1, BiggestInt val2) // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. // Implements the helper function for {ASSERT|EXPECT}_NE GTEST_IMPL_CMP_HELPER_(NE, !=); // Implements the helper function for {ASSERT|EXPECT}_LE GTEST_IMPL_CMP_HELPER_(LE, <=); // Implements the helper function for {ASSERT|EXPECT}_LT GTEST_IMPL_CMP_HELPER_(LT, <); // Implements the helper function for {ASSERT|EXPECT}_GE GTEST_IMPL_CMP_HELPER_(GE, >=); // Implements the helper function for {ASSERT|EXPECT}_GT GTEST_IMPL_CMP_HELPER_(GT, >); #undef GTEST_IMPL_CMP_HELPER_ // The helper function for {ASSERT|EXPECT}_STREQ. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. GTEST_API_ AssertionResult CmpHelperSTREQ(const char* s1_expression, const char* s2_expression, const char* s1, const char* s2); // The helper function for {ASSERT|EXPECT}_STRCASEEQ. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. GTEST_API_ AssertionResult CmpHelperSTRCASEEQ(const char* s1_expression, const char* s2_expression, const char* s1, const char* s2); // The helper function for {ASSERT|EXPECT}_STRNE. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. GTEST_API_ AssertionResult CmpHelperSTRNE(const char* s1_expression, const char* s2_expression, const char* s1, const char* s2); // The helper function for {ASSERT|EXPECT}_STRCASENE. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. GTEST_API_ AssertionResult CmpHelperSTRCASENE(const char* s1_expression, const char* s2_expression, const char* s1, const char* s2); // Helper function for *_STREQ on wide strings. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. GTEST_API_ AssertionResult CmpHelperSTREQ(const char* s1_expression, const char* s2_expression, const wchar_t* s1, const wchar_t* s2); // Helper function for *_STRNE on wide strings. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. GTEST_API_ AssertionResult CmpHelperSTRNE(const char* s1_expression, const char* s2_expression, const wchar_t* s1, const wchar_t* s2); } // namespace internal // IsSubstring() and IsNotSubstring() are intended to be used as the // first argument to {EXPECT,ASSERT}_PRED_FORMAT2(), not by // themselves. They check whether needle is a substring of haystack // (NULL is considered a substring of itself only), and return an // appropriate error message when they fail. // // The {needle,haystack}_expr arguments are the stringified // expressions that generated the two real arguments. GTEST_API_ AssertionResult IsSubstring( const char* needle_expr, const char* haystack_expr, const char* needle, const char* haystack); GTEST_API_ AssertionResult IsSubstring( const char* needle_expr, const char* haystack_expr, const wchar_t* needle, const wchar_t* haystack); GTEST_API_ AssertionResult IsNotSubstring( const char* needle_expr, const char* haystack_expr, const char* needle, const char* haystack); GTEST_API_ AssertionResult IsNotSubstring( const char* needle_expr, const char* haystack_expr, const wchar_t* needle, const wchar_t* haystack); GTEST_API_ AssertionResult IsSubstring( const char* needle_expr, const char* haystack_expr, const ::std::string& needle, const ::std::string& haystack); GTEST_API_ AssertionResult IsNotSubstring( const char* needle_expr, const char* haystack_expr, const ::std::string& needle, const ::std::string& haystack); #if GTEST_HAS_STD_WSTRING GTEST_API_ AssertionResult IsSubstring( const char* needle_expr, const char* haystack_expr, const ::std::wstring& needle, const ::std::wstring& haystack); GTEST_API_ AssertionResult IsNotSubstring( const char* needle_expr, const char* haystack_expr, const ::std::wstring& needle, const ::std::wstring& haystack); #endif // GTEST_HAS_STD_WSTRING namespace internal { // Helper template function for comparing floating-points. // // Template parameter: // // RawType: the raw floating-point type (either float or double) // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. template AssertionResult CmpHelperFloatingPointEQ(const char* lhs_expression, const char* rhs_expression, RawType lhs_value, RawType rhs_value) { const FloatingPoint lhs(lhs_value), rhs(rhs_value); if (lhs.AlmostEquals(rhs)) { return AssertionSuccess(); } ::std::stringstream lhs_ss; lhs_ss << std::setprecision(std::numeric_limits::digits10 + 2) << lhs_value; ::std::stringstream rhs_ss; rhs_ss << std::setprecision(std::numeric_limits::digits10 + 2) << rhs_value; return EqFailure(lhs_expression, rhs_expression, StringStreamToString(&lhs_ss), StringStreamToString(&rhs_ss), false); } // Helper function for implementing ASSERT_NEAR. // // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM. GTEST_API_ AssertionResult DoubleNearPredFormat(const char* expr1, const char* expr2, const char* abs_error_expr, double val1, double val2, double abs_error); // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // A class that enables one to stream messages to assertion macros class GTEST_API_ AssertHelper { public: // Constructor. AssertHelper(TestPartResult::Type type, const char* file, int line, const char* message); ~AssertHelper(); // Message assignment is a semantic trick to enable assertion // streaming; see the GTEST_MESSAGE_ macro below. void operator=(const Message& message) const; private: // We put our data in a struct so that the size of the AssertHelper class can // be as small as possible. This is important because gcc is incapable of // re-using stack space even for temporary variables, so every EXPECT_EQ // reserves stack space for another AssertHelper. struct AssertHelperData { AssertHelperData(TestPartResult::Type t, const char* srcfile, int line_num, const char* msg) : type(t), file(srcfile), line(line_num), message(msg) { } TestPartResult::Type const type; const char* const file; int const line; std::string const message; private: GTEST_DISALLOW_COPY_AND_ASSIGN_(AssertHelperData); }; AssertHelperData* const data_; GTEST_DISALLOW_COPY_AND_ASSIGN_(AssertHelper); }; } // namespace internal #if GTEST_HAS_PARAM_TEST // The pure interface class that all value-parameterized tests inherit from. // A value-parameterized class must inherit from both ::testing::Test and // ::testing::WithParamInterface. In most cases that just means inheriting // from ::testing::TestWithParam, but more complicated test hierarchies // may need to inherit from Test and WithParamInterface at different levels. // // This interface has support for accessing the test parameter value via // the GetParam() method. // // Use it with one of the parameter generator defining functions, like Range(), // Values(), ValuesIn(), Bool(), and Combine(). // // class FooTest : public ::testing::TestWithParam { // protected: // FooTest() { // // Can use GetParam() here. // } // virtual ~FooTest() { // // Can use GetParam() here. // } // virtual void SetUp() { // // Can use GetParam() here. // } // virtual void TearDown { // // Can use GetParam() here. // } // }; // TEST_P(FooTest, DoesBar) { // // Can use GetParam() method here. // Foo foo; // ASSERT_TRUE(foo.DoesBar(GetParam())); // } // INSTANTIATE_TEST_CASE_P(OneToTenRange, FooTest, ::testing::Range(1, 10)); template class WithParamInterface { public: typedef T ParamType; virtual ~WithParamInterface() {} // The current parameter value. Is also available in the test fixture's // constructor. This member function is non-static, even though it only // references static data, to reduce the opportunity for incorrect uses // like writing 'WithParamInterface::GetParam()' for a test that // uses a fixture whose parameter type is int. const ParamType& GetParam() const { GTEST_CHECK_(parameter_ != NULL) << "GetParam() can only be called inside a value-parameterized test " << "-- did you intend to write TEST_P instead of TEST_F?"; return *parameter_; } private: // Sets parameter value. The caller is responsible for making sure the value // remains alive and unchanged throughout the current test. static void SetParam(const ParamType* parameter) { parameter_ = parameter; } // Static value used for accessing parameter during a test lifetime. static const ParamType* parameter_; // TestClass must be a subclass of WithParamInterface and Test. template friend class internal::ParameterizedTestFactory; }; template const T* WithParamInterface::parameter_ = NULL; // Most value-parameterized classes can ignore the existence of // WithParamInterface, and can just inherit from ::testing::TestWithParam. template class TestWithParam : public Test, public WithParamInterface { }; #endif // GTEST_HAS_PARAM_TEST // Macros for indicating success/failure in test code. // ADD_FAILURE unconditionally adds a failure to the current test. // SUCCEED generates a success - it doesn't automatically make the // current test successful, as a test is only successful when it has // no failure. // // EXPECT_* verifies that a certain condition is satisfied. If not, // it behaves like ADD_FAILURE. In particular: // // EXPECT_TRUE verifies that a Boolean condition is true. // EXPECT_FALSE verifies that a Boolean condition is false. // // FAIL and ASSERT_* are similar to ADD_FAILURE and EXPECT_*, except // that they will also abort the current function on failure. People // usually want the fail-fast behavior of FAIL and ASSERT_*, but those // writing data-driven tests often find themselves using ADD_FAILURE // and EXPECT_* more. // Generates a nonfatal failure with a generic message. #define ADD_FAILURE() GTEST_NONFATAL_FAILURE_("Failed") // Generates a nonfatal failure at the given source file location with // a generic message. #define ADD_FAILURE_AT(file, line) \ GTEST_MESSAGE_AT_(file, line, "Failed", \ ::testing::TestPartResult::kNonFatalFailure) // Generates a fatal failure with a generic message. #define GTEST_FAIL() GTEST_FATAL_FAILURE_("Failed") // Define this macro to 1 to omit the definition of FAIL(), which is a // generic name and clashes with some other libraries. #if !GTEST_DONT_DEFINE_FAIL # define FAIL() GTEST_FAIL() #endif // Generates a success with a generic message. #define GTEST_SUCCEED() GTEST_SUCCESS_("Succeeded") // Define this macro to 1 to omit the definition of SUCCEED(), which // is a generic name and clashes with some other libraries. #if !GTEST_DONT_DEFINE_SUCCEED # define SUCCEED() GTEST_SUCCEED() #endif // Macros for testing exceptions. // // * {ASSERT|EXPECT}_THROW(statement, expected_exception): // Tests that the statement throws the expected exception. // * {ASSERT|EXPECT}_NO_THROW(statement): // Tests that the statement doesn't throw any exception. // * {ASSERT|EXPECT}_ANY_THROW(statement): // Tests that the statement throws an exception. #define EXPECT_THROW(statement, expected_exception) \ GTEST_TEST_THROW_(statement, expected_exception, GTEST_NONFATAL_FAILURE_) #define EXPECT_NO_THROW(statement) \ GTEST_TEST_NO_THROW_(statement, GTEST_NONFATAL_FAILURE_) #define EXPECT_ANY_THROW(statement) \ GTEST_TEST_ANY_THROW_(statement, GTEST_NONFATAL_FAILURE_) #define ASSERT_THROW(statement, expected_exception) \ GTEST_TEST_THROW_(statement, expected_exception, GTEST_FATAL_FAILURE_) #define ASSERT_NO_THROW(statement) \ GTEST_TEST_NO_THROW_(statement, GTEST_FATAL_FAILURE_) #define ASSERT_ANY_THROW(statement) \ GTEST_TEST_ANY_THROW_(statement, GTEST_FATAL_FAILURE_) // Boolean assertions. Condition can be either a Boolean expression or an // AssertionResult. For more information on how to use AssertionResult with // these macros see comments on that class. #define EXPECT_TRUE(condition) \ GTEST_TEST_BOOLEAN_((condition), #condition, false, true, \ GTEST_NONFATAL_FAILURE_) #define EXPECT_FALSE(condition) \ GTEST_TEST_BOOLEAN_(!(condition), #condition, true, false, \ GTEST_NONFATAL_FAILURE_) #define ASSERT_TRUE(condition) \ GTEST_TEST_BOOLEAN_((condition), #condition, false, true, \ GTEST_FATAL_FAILURE_) #define ASSERT_FALSE(condition) \ GTEST_TEST_BOOLEAN_(!(condition), #condition, true, false, \ GTEST_FATAL_FAILURE_) // Includes the auto-generated header that implements a family of // generic predicate assertion macros. #include "gtest/gtest_pred_impl.h" // Macros for testing equalities and inequalities. // // * {ASSERT|EXPECT}_EQ(v1, v2): Tests that v1 == v2 // * {ASSERT|EXPECT}_NE(v1, v2): Tests that v1 != v2 // * {ASSERT|EXPECT}_LT(v1, v2): Tests that v1 < v2 // * {ASSERT|EXPECT}_LE(v1, v2): Tests that v1 <= v2 // * {ASSERT|EXPECT}_GT(v1, v2): Tests that v1 > v2 // * {ASSERT|EXPECT}_GE(v1, v2): Tests that v1 >= v2 // // When they are not, Google Test prints both the tested expressions and // their actual values. The values must be compatible built-in types, // or you will get a compiler error. By "compatible" we mean that the // values can be compared by the respective operator. // // Note: // // 1. It is possible to make a user-defined type work with // {ASSERT|EXPECT}_??(), but that requires overloading the // comparison operators and is thus discouraged by the Google C++ // Usage Guide. Therefore, you are advised to use the // {ASSERT|EXPECT}_TRUE() macro to assert that two objects are // equal. // // 2. The {ASSERT|EXPECT}_??() macros do pointer comparisons on // pointers (in particular, C strings). Therefore, if you use it // with two C strings, you are testing how their locations in memory // are related, not how their content is related. To compare two C // strings by content, use {ASSERT|EXPECT}_STR*(). // // 3. {ASSERT|EXPECT}_EQ(v1, v2) is preferred to // {ASSERT|EXPECT}_TRUE(v1 == v2), as the former tells you // what the actual value is when it fails, and similarly for the // other comparisons. // // 4. Do not depend on the order in which {ASSERT|EXPECT}_??() // evaluate their arguments, which is undefined. // // 5. These macros evaluate their arguments exactly once. // // Examples: // // EXPECT_NE(5, Foo()); // EXPECT_EQ(NULL, a_pointer); // ASSERT_LT(i, array_size); // ASSERT_GT(records.size(), 0) << "There is no record left."; #define EXPECT_EQ(val1, val2) \ EXPECT_PRED_FORMAT2(::testing::internal:: \ EqHelper::Compare, \ val1, val2) #define EXPECT_NE(val1, val2) \ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperNE, val1, val2) #define EXPECT_LE(val1, val2) \ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperLE, val1, val2) #define EXPECT_LT(val1, val2) \ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperLT, val1, val2) #define EXPECT_GE(val1, val2) \ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperGE, val1, val2) #define EXPECT_GT(val1, val2) \ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperGT, val1, val2) #define GTEST_ASSERT_EQ(val1, val2) \ ASSERT_PRED_FORMAT2(::testing::internal:: \ EqHelper::Compare, \ val1, val2) #define GTEST_ASSERT_NE(val1, val2) \ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperNE, val1, val2) #define GTEST_ASSERT_LE(val1, val2) \ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperLE, val1, val2) #define GTEST_ASSERT_LT(val1, val2) \ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperLT, val1, val2) #define GTEST_ASSERT_GE(val1, val2) \ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperGE, val1, val2) #define GTEST_ASSERT_GT(val1, val2) \ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperGT, val1, val2) // Define macro GTEST_DONT_DEFINE_ASSERT_XY to 1 to omit the definition of // ASSERT_XY(), which clashes with some users' own code. #if !GTEST_DONT_DEFINE_ASSERT_EQ # define ASSERT_EQ(val1, val2) GTEST_ASSERT_EQ(val1, val2) #endif #if !GTEST_DONT_DEFINE_ASSERT_NE # define ASSERT_NE(val1, val2) GTEST_ASSERT_NE(val1, val2) #endif #if !GTEST_DONT_DEFINE_ASSERT_LE # define ASSERT_LE(val1, val2) GTEST_ASSERT_LE(val1, val2) #endif #if !GTEST_DONT_DEFINE_ASSERT_LT # define ASSERT_LT(val1, val2) GTEST_ASSERT_LT(val1, val2) #endif #if !GTEST_DONT_DEFINE_ASSERT_GE # define ASSERT_GE(val1, val2) GTEST_ASSERT_GE(val1, val2) #endif #if !GTEST_DONT_DEFINE_ASSERT_GT # define ASSERT_GT(val1, val2) GTEST_ASSERT_GT(val1, val2) #endif // C-string Comparisons. All tests treat NULL and any non-NULL string // as different. Two NULLs are equal. // // * {ASSERT|EXPECT}_STREQ(s1, s2): Tests that s1 == s2 // * {ASSERT|EXPECT}_STRNE(s1, s2): Tests that s1 != s2 // * {ASSERT|EXPECT}_STRCASEEQ(s1, s2): Tests that s1 == s2, ignoring case // * {ASSERT|EXPECT}_STRCASENE(s1, s2): Tests that s1 != s2, ignoring case // // For wide or narrow string objects, you can use the // {ASSERT|EXPECT}_??() macros. // // Don't depend on the order in which the arguments are evaluated, // which is undefined. // // These macros evaluate their arguments exactly once. #define EXPECT_STREQ(s1, s2) \ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperSTREQ, s1, s2) #define EXPECT_STRNE(s1, s2) \ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperSTRNE, s1, s2) #define EXPECT_STRCASEEQ(s1, s2) \ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperSTRCASEEQ, s1, s2) #define EXPECT_STRCASENE(s1, s2)\ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperSTRCASENE, s1, s2) #define ASSERT_STREQ(s1, s2) \ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperSTREQ, s1, s2) #define ASSERT_STRNE(s1, s2) \ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperSTRNE, s1, s2) #define ASSERT_STRCASEEQ(s1, s2) \ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperSTRCASEEQ, s1, s2) #define ASSERT_STRCASENE(s1, s2)\ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperSTRCASENE, s1, s2) // Macros for comparing floating-point numbers. // // * {ASSERT|EXPECT}_FLOAT_EQ(val1, val2): // Tests that two float values are almost equal. // * {ASSERT|EXPECT}_DOUBLE_EQ(val1, val2): // Tests that two double values are almost equal. // * {ASSERT|EXPECT}_NEAR(v1, v2, abs_error): // Tests that v1 and v2 are within the given distance to each other. // // Google Test uses ULP-based comparison to automatically pick a default // error bound that is appropriate for the operands. See the // FloatingPoint template class in gtest-internal.h if you are // interested in the implementation details. #define EXPECT_FLOAT_EQ(val1, val2)\ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperFloatingPointEQ, \ val1, val2) #define EXPECT_DOUBLE_EQ(val1, val2)\ EXPECT_PRED_FORMAT2(::testing::internal::CmpHelperFloatingPointEQ, \ val1, val2) #define ASSERT_FLOAT_EQ(val1, val2)\ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperFloatingPointEQ, \ val1, val2) #define ASSERT_DOUBLE_EQ(val1, val2)\ ASSERT_PRED_FORMAT2(::testing::internal::CmpHelperFloatingPointEQ, \ val1, val2) #define EXPECT_NEAR(val1, val2, abs_error)\ EXPECT_PRED_FORMAT3(::testing::internal::DoubleNearPredFormat, \ val1, val2, abs_error) #define ASSERT_NEAR(val1, val2, abs_error)\ ASSERT_PRED_FORMAT3(::testing::internal::DoubleNearPredFormat, \ val1, val2, abs_error) // These predicate format functions work on floating-point values, and // can be used in {ASSERT|EXPECT}_PRED_FORMAT2*(), e.g. // // EXPECT_PRED_FORMAT2(testing::DoubleLE, Foo(), 5.0); // Asserts that val1 is less than, or almost equal to, val2. Fails // otherwise. In particular, it fails if either val1 or val2 is NaN. GTEST_API_ AssertionResult FloatLE(const char* expr1, const char* expr2, float val1, float val2); GTEST_API_ AssertionResult DoubleLE(const char* expr1, const char* expr2, double val1, double val2); #if GTEST_OS_WINDOWS // Macros that test for HRESULT failure and success, these are only useful // on Windows, and rely on Windows SDK macros and APIs to compile. // // * {ASSERT|EXPECT}_HRESULT_{SUCCEEDED|FAILED}(expr) // // When expr unexpectedly fails or succeeds, Google Test prints the // expected result and the actual result with both a human-readable // string representation of the error, if available, as well as the // hex result code. # define EXPECT_HRESULT_SUCCEEDED(expr) \ EXPECT_PRED_FORMAT1(::testing::internal::IsHRESULTSuccess, (expr)) # define ASSERT_HRESULT_SUCCEEDED(expr) \ ASSERT_PRED_FORMAT1(::testing::internal::IsHRESULTSuccess, (expr)) # define EXPECT_HRESULT_FAILED(expr) \ EXPECT_PRED_FORMAT1(::testing::internal::IsHRESULTFailure, (expr)) # define ASSERT_HRESULT_FAILED(expr) \ ASSERT_PRED_FORMAT1(::testing::internal::IsHRESULTFailure, (expr)) #endif // GTEST_OS_WINDOWS // Macros that execute statement and check that it doesn't generate new fatal // failures in the current thread. // // * {ASSERT|EXPECT}_NO_FATAL_FAILURE(statement); // // Examples: // // EXPECT_NO_FATAL_FAILURE(Process()); // ASSERT_NO_FATAL_FAILURE(Process()) << "Process() failed"; // #define ASSERT_NO_FATAL_FAILURE(statement) \ GTEST_TEST_NO_FATAL_FAILURE_(statement, GTEST_FATAL_FAILURE_) #define EXPECT_NO_FATAL_FAILURE(statement) \ GTEST_TEST_NO_FATAL_FAILURE_(statement, GTEST_NONFATAL_FAILURE_) // Causes a trace (including the source file path, the current line // number, and the given message) to be included in every test failure // message generated by code in the current scope. The effect is // undone when the control leaves the current scope. // // The message argument can be anything streamable to std::ostream. // // In the implementation, we include the current line number as part // of the dummy variable name, thus allowing multiple SCOPED_TRACE()s // to appear in the same block - as long as they are on different // lines. #define SCOPED_TRACE(message) \ ::testing::internal::ScopedTrace GTEST_CONCAT_TOKEN_(gtest_trace_, __LINE__)(\ __FILE__, __LINE__, ::testing::Message() << (message)) // Compile-time assertion for type equality. // StaticAssertTypeEq() compiles iff type1 and type2 are // the same type. The value it returns is not interesting. // // Instead of making StaticAssertTypeEq a class template, we make it a // function template that invokes a helper class template. This // prevents a user from misusing StaticAssertTypeEq by // defining objects of that type. // // CAVEAT: // // When used inside a method of a class template, // StaticAssertTypeEq() is effective ONLY IF the method is // instantiated. For example, given: // // template class Foo { // public: // void Bar() { testing::StaticAssertTypeEq(); } // }; // // the code: // // void Test1() { Foo foo; } // // will NOT generate a compiler error, as Foo::Bar() is never // actually instantiated. Instead, you need: // // void Test2() { Foo foo; foo.Bar(); } // // to cause a compiler error. template bool StaticAssertTypeEq() { (void)internal::StaticAssertTypeEqHelper(); return true; } // Defines a test. // // The first parameter is the name of the test case, and the second // parameter is the name of the test within the test case. // // The convention is to end the test case name with "Test". For // example, a test case for the Foo class can be named FooTest. // // Test code should appear between braces after an invocation of // this macro. Example: // // TEST(FooTest, InitializesCorrectly) { // Foo foo; // EXPECT_TRUE(foo.StatusIsOK()); // } // Note that we call GetTestTypeId() instead of GetTypeId< // ::testing::Test>() here to get the type ID of testing::Test. This // is to work around a suspected linker bug when using Google Test as // a framework on Mac OS X. The bug causes GetTypeId< // ::testing::Test>() to return different values depending on whether // the call is from the Google Test framework itself or from user test // code. GetTestTypeId() is guaranteed to always return the same // value, as it always calls GetTypeId<>() from the Google Test // framework. #define GTEST_TEST(test_case_name, test_name)\ GTEST_TEST_(test_case_name, test_name, \ ::testing::Test, ::testing::internal::GetTestTypeId()) // Define this macro to 1 to omit the definition of TEST(), which // is a generic name and clashes with some other libraries. #if !GTEST_DONT_DEFINE_TEST # define TEST(test_case_name, test_name) GTEST_TEST(test_case_name, test_name) #endif // Defines a test that uses a test fixture. // // The first parameter is the name of the test fixture class, which // also doubles as the test case name. The second parameter is the // name of the test within the test case. // // A test fixture class must be declared earlier. The user should put // his test code between braces after using this macro. Example: // // class FooTest : public testing::Test { // protected: // virtual void SetUp() { b_.AddElement(3); } // // Foo a_; // Foo b_; // }; // // TEST_F(FooTest, InitializesCorrectly) { // EXPECT_TRUE(a_.StatusIsOK()); // } // // TEST_F(FooTest, ReturnsElementCountCorrectly) { // EXPECT_EQ(0, a_.size()); // EXPECT_EQ(1, b_.size()); // } #define TEST_F(test_fixture, test_name)\ GTEST_TEST_(test_fixture, test_name, test_fixture, \ ::testing::internal::GetTypeId()) } // namespace testing // Use this function in main() to run all tests. It returns 0 if all // tests are successful, or 1 otherwise. // // RUN_ALL_TESTS() should be invoked after the command line has been // parsed by InitGoogleTest(). // // This function was formerly a macro; thus, it is in the global // namespace and has an all-caps name. int RUN_ALL_TESTS() GTEST_MUST_USE_RESULT_; inline int RUN_ALL_TESTS() { return ::testing::UnitTest::GetInstance()->Run(); } #endif // GTEST_INCLUDE_GTEST_GTEST_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest_pred_impl.h0000644000175100017510000003545115112307767025531 0ustar00runnerrunner// Copyright 2006, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // This file is AUTOMATICALLY GENERATED on 10/31/2011 by command // 'gen_gtest_pred_impl.py 5'. DO NOT EDIT BY HAND! // // Implements a family of generic predicate assertion macros. #ifndef GTEST_INCLUDE_GTEST_GTEST_PRED_IMPL_H_ #define GTEST_INCLUDE_GTEST_GTEST_PRED_IMPL_H_ // Makes sure this header is not included before gtest.h. #ifndef GTEST_INCLUDE_GTEST_GTEST_H_ # error Do not include gtest_pred_impl.h directly. Include gtest.h instead. #endif // GTEST_INCLUDE_GTEST_GTEST_H_ // This header implements a family of generic predicate assertion // macros: // // ASSERT_PRED_FORMAT1(pred_format, v1) // ASSERT_PRED_FORMAT2(pred_format, v1, v2) // ... // // where pred_format is a function or functor that takes n (in the // case of ASSERT_PRED_FORMATn) values and their source expression // text, and returns a testing::AssertionResult. See the definition // of ASSERT_EQ in gtest.h for an example. // // If you don't care about formatting, you can use the more // restrictive version: // // ASSERT_PRED1(pred, v1) // ASSERT_PRED2(pred, v1, v2) // ... // // where pred is an n-ary function or functor that returns bool, // and the values v1, v2, ..., must support the << operator for // streaming to std::ostream. // // We also define the EXPECT_* variations. // // For now we only support predicates whose arity is at most 5. // Please email googletestframework@googlegroups.com if you need // support for higher arities. // GTEST_ASSERT_ is the basic statement to which all of the assertions // in this file reduce. Don't use this in your code. #define GTEST_ASSERT_(expression, on_failure) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (const ::testing::AssertionResult gtest_ar = (expression)) \ ; \ else \ on_failure(gtest_ar.failure_message()) // Helper function for implementing {EXPECT|ASSERT}_PRED1. Don't use // this in your code. template AssertionResult AssertPred1Helper(const char* pred_text, const char* e1, Pred pred, const T1& v1) { if (pred(v1)) return AssertionSuccess(); return AssertionFailure() << pred_text << "(" << e1 << ") evaluates to false, where" << "\n" << e1 << " evaluates to " << v1; } // Internal macro for implementing {EXPECT|ASSERT}_PRED_FORMAT1. // Don't use this in your code. #define GTEST_PRED_FORMAT1_(pred_format, v1, on_failure)\ GTEST_ASSERT_(pred_format(#v1, v1), \ on_failure) // Internal macro for implementing {EXPECT|ASSERT}_PRED1. Don't use // this in your code. #define GTEST_PRED1_(pred, v1, on_failure)\ GTEST_ASSERT_(::testing::AssertPred1Helper(#pred, \ #v1, \ pred, \ v1), on_failure) // Unary predicate assertion macros. #define EXPECT_PRED_FORMAT1(pred_format, v1) \ GTEST_PRED_FORMAT1_(pred_format, v1, GTEST_NONFATAL_FAILURE_) #define EXPECT_PRED1(pred, v1) \ GTEST_PRED1_(pred, v1, GTEST_NONFATAL_FAILURE_) #define ASSERT_PRED_FORMAT1(pred_format, v1) \ GTEST_PRED_FORMAT1_(pred_format, v1, GTEST_FATAL_FAILURE_) #define ASSERT_PRED1(pred, v1) \ GTEST_PRED1_(pred, v1, GTEST_FATAL_FAILURE_) // Helper function for implementing {EXPECT|ASSERT}_PRED2. Don't use // this in your code. template AssertionResult AssertPred2Helper(const char* pred_text, const char* e1, const char* e2, Pred pred, const T1& v1, const T2& v2) { if (pred(v1, v2)) return AssertionSuccess(); return AssertionFailure() << pred_text << "(" << e1 << ", " << e2 << ") evaluates to false, where" << "\n" << e1 << " evaluates to " << v1 << "\n" << e2 << " evaluates to " << v2; } // Internal macro for implementing {EXPECT|ASSERT}_PRED_FORMAT2. // Don't use this in your code. #define GTEST_PRED_FORMAT2_(pred_format, v1, v2, on_failure)\ GTEST_ASSERT_(pred_format(#v1, #v2, v1, v2), \ on_failure) // Internal macro for implementing {EXPECT|ASSERT}_PRED2. Don't use // this in your code. #define GTEST_PRED2_(pred, v1, v2, on_failure)\ GTEST_ASSERT_(::testing::AssertPred2Helper(#pred, \ #v1, \ #v2, \ pred, \ v1, \ v2), on_failure) // Binary predicate assertion macros. #define EXPECT_PRED_FORMAT2(pred_format, v1, v2) \ GTEST_PRED_FORMAT2_(pred_format, v1, v2, GTEST_NONFATAL_FAILURE_) #define EXPECT_PRED2(pred, v1, v2) \ GTEST_PRED2_(pred, v1, v2, GTEST_NONFATAL_FAILURE_) #define ASSERT_PRED_FORMAT2(pred_format, v1, v2) \ GTEST_PRED_FORMAT2_(pred_format, v1, v2, GTEST_FATAL_FAILURE_) #define ASSERT_PRED2(pred, v1, v2) \ GTEST_PRED2_(pred, v1, v2, GTEST_FATAL_FAILURE_) // Helper function for implementing {EXPECT|ASSERT}_PRED3. Don't use // this in your code. template AssertionResult AssertPred3Helper(const char* pred_text, const char* e1, const char* e2, const char* e3, Pred pred, const T1& v1, const T2& v2, const T3& v3) { if (pred(v1, v2, v3)) return AssertionSuccess(); return AssertionFailure() << pred_text << "(" << e1 << ", " << e2 << ", " << e3 << ") evaluates to false, where" << "\n" << e1 << " evaluates to " << v1 << "\n" << e2 << " evaluates to " << v2 << "\n" << e3 << " evaluates to " << v3; } // Internal macro for implementing {EXPECT|ASSERT}_PRED_FORMAT3. // Don't use this in your code. #define GTEST_PRED_FORMAT3_(pred_format, v1, v2, v3, on_failure)\ GTEST_ASSERT_(pred_format(#v1, #v2, #v3, v1, v2, v3), \ on_failure) // Internal macro for implementing {EXPECT|ASSERT}_PRED3. Don't use // this in your code. #define GTEST_PRED3_(pred, v1, v2, v3, on_failure)\ GTEST_ASSERT_(::testing::AssertPred3Helper(#pred, \ #v1, \ #v2, \ #v3, \ pred, \ v1, \ v2, \ v3), on_failure) // Ternary predicate assertion macros. #define EXPECT_PRED_FORMAT3(pred_format, v1, v2, v3) \ GTEST_PRED_FORMAT3_(pred_format, v1, v2, v3, GTEST_NONFATAL_FAILURE_) #define EXPECT_PRED3(pred, v1, v2, v3) \ GTEST_PRED3_(pred, v1, v2, v3, GTEST_NONFATAL_FAILURE_) #define ASSERT_PRED_FORMAT3(pred_format, v1, v2, v3) \ GTEST_PRED_FORMAT3_(pred_format, v1, v2, v3, GTEST_FATAL_FAILURE_) #define ASSERT_PRED3(pred, v1, v2, v3) \ GTEST_PRED3_(pred, v1, v2, v3, GTEST_FATAL_FAILURE_) // Helper function for implementing {EXPECT|ASSERT}_PRED4. Don't use // this in your code. template AssertionResult AssertPred4Helper(const char* pred_text, const char* e1, const char* e2, const char* e3, const char* e4, Pred pred, const T1& v1, const T2& v2, const T3& v3, const T4& v4) { if (pred(v1, v2, v3, v4)) return AssertionSuccess(); return AssertionFailure() << pred_text << "(" << e1 << ", " << e2 << ", " << e3 << ", " << e4 << ") evaluates to false, where" << "\n" << e1 << " evaluates to " << v1 << "\n" << e2 << " evaluates to " << v2 << "\n" << e3 << " evaluates to " << v3 << "\n" << e4 << " evaluates to " << v4; } // Internal macro for implementing {EXPECT|ASSERT}_PRED_FORMAT4. // Don't use this in your code. #define GTEST_PRED_FORMAT4_(pred_format, v1, v2, v3, v4, on_failure)\ GTEST_ASSERT_(pred_format(#v1, #v2, #v3, #v4, v1, v2, v3, v4), \ on_failure) // Internal macro for implementing {EXPECT|ASSERT}_PRED4. Don't use // this in your code. #define GTEST_PRED4_(pred, v1, v2, v3, v4, on_failure)\ GTEST_ASSERT_(::testing::AssertPred4Helper(#pred, \ #v1, \ #v2, \ #v3, \ #v4, \ pred, \ v1, \ v2, \ v3, \ v4), on_failure) // 4-ary predicate assertion macros. #define EXPECT_PRED_FORMAT4(pred_format, v1, v2, v3, v4) \ GTEST_PRED_FORMAT4_(pred_format, v1, v2, v3, v4, GTEST_NONFATAL_FAILURE_) #define EXPECT_PRED4(pred, v1, v2, v3, v4) \ GTEST_PRED4_(pred, v1, v2, v3, v4, GTEST_NONFATAL_FAILURE_) #define ASSERT_PRED_FORMAT4(pred_format, v1, v2, v3, v4) \ GTEST_PRED_FORMAT4_(pred_format, v1, v2, v3, v4, GTEST_FATAL_FAILURE_) #define ASSERT_PRED4(pred, v1, v2, v3, v4) \ GTEST_PRED4_(pred, v1, v2, v3, v4, GTEST_FATAL_FAILURE_) // Helper function for implementing {EXPECT|ASSERT}_PRED5. Don't use // this in your code. template AssertionResult AssertPred5Helper(const char* pred_text, const char* e1, const char* e2, const char* e3, const char* e4, const char* e5, Pred pred, const T1& v1, const T2& v2, const T3& v3, const T4& v4, const T5& v5) { if (pred(v1, v2, v3, v4, v5)) return AssertionSuccess(); return AssertionFailure() << pred_text << "(" << e1 << ", " << e2 << ", " << e3 << ", " << e4 << ", " << e5 << ") evaluates to false, where" << "\n" << e1 << " evaluates to " << v1 << "\n" << e2 << " evaluates to " << v2 << "\n" << e3 << " evaluates to " << v3 << "\n" << e4 << " evaluates to " << v4 << "\n" << e5 << " evaluates to " << v5; } // Internal macro for implementing {EXPECT|ASSERT}_PRED_FORMAT5. // Don't use this in your code. #define GTEST_PRED_FORMAT5_(pred_format, v1, v2, v3, v4, v5, on_failure)\ GTEST_ASSERT_(pred_format(#v1, #v2, #v3, #v4, #v5, v1, v2, v3, v4, v5), \ on_failure) // Internal macro for implementing {EXPECT|ASSERT}_PRED5. Don't use // this in your code. #define GTEST_PRED5_(pred, v1, v2, v3, v4, v5, on_failure)\ GTEST_ASSERT_(::testing::AssertPred5Helper(#pred, \ #v1, \ #v2, \ #v3, \ #v4, \ #v5, \ pred, \ v1, \ v2, \ v3, \ v4, \ v5), on_failure) // 5-ary predicate assertion macros. #define EXPECT_PRED_FORMAT5(pred_format, v1, v2, v3, v4, v5) \ GTEST_PRED_FORMAT5_(pred_format, v1, v2, v3, v4, v5, GTEST_NONFATAL_FAILURE_) #define EXPECT_PRED5(pred, v1, v2, v3, v4, v5) \ GTEST_PRED5_(pred, v1, v2, v3, v4, v5, GTEST_NONFATAL_FAILURE_) #define ASSERT_PRED_FORMAT5(pred_format, v1, v2, v3, v4, v5) \ GTEST_PRED_FORMAT5_(pred_format, v1, v2, v3, v4, v5, GTEST_FATAL_FAILURE_) #define ASSERT_PRED5(pred, v1, v2, v3, v4, v5) \ GTEST_PRED5_(pred, v1, v2, v3, v4, v5, GTEST_FATAL_FAILURE_) #endif // GTEST_INCLUDE_GTEST_GTEST_PRED_IMPL_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/gtest_prod.h0000644000175100017510000000442415112307767024516 0ustar00runnerrunner// Copyright 2006, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // // Google C++ Testing Framework definitions useful in production code. #ifndef GTEST_INCLUDE_GTEST_GTEST_PROD_H_ #define GTEST_INCLUDE_GTEST_GTEST_PROD_H_ // When you need to test the private or protected members of a class, // use the FRIEND_TEST macro to declare your tests as friends of the // class. For example: // // class MyClass { // private: // void MyMethod(); // FRIEND_TEST(MyClassTest, MyMethod); // }; // // class MyClassTest : public testing::Test { // // ... // }; // // TEST_F(MyClassTest, MyMethod) { // // Can call MyClass::MyMethod() here. // } #define FRIEND_TEST(test_case_name, test_name)\ friend class test_case_name##_##test_name##_Test #endif // GTEST_INCLUDE_GTEST_GTEST_PROD_H_ ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6357658 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/0000755000175100017510000000000015112310012023754 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6367657 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/custom/0000755000175100017510000000000015112310012025266 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/custom/gtest-port.h0000644000175100017510000000610715112307767027602 0ustar00runnerrunner// Copyright 2015, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Injection point for custom user configurations. // The following macros can be defined: // // Flag related macros: // GTEST_FLAG(flag_name) // GTEST_USE_OWN_FLAGFILE_FLAG_ - Define to 0 when the system provides its // own flagfile flag parsing. // GTEST_DECLARE_bool_(name) // GTEST_DECLARE_int32_(name) // GTEST_DECLARE_string_(name) // GTEST_DEFINE_bool_(name, default_val, doc) // GTEST_DEFINE_int32_(name, default_val, doc) // GTEST_DEFINE_string_(name, default_val, doc) // // Test filtering: // GTEST_TEST_FILTER_ENV_VAR_ - The name of an environment variable that // will be used if --GTEST_FLAG(test_filter) // is not provided. // // Logging: // GTEST_LOG_(severity) // GTEST_CHECK_(condition) // Functions LogToStderr() and FlushInfoLog() have to be provided too. // // Threading: // GTEST_HAS_NOTIFICATION_ - Enabled if Notification is already provided. // GTEST_HAS_MUTEX_AND_THREAD_LOCAL_ - Enabled if Mutex and ThreadLocal are // already provided. // Must also provide GTEST_DECLARE_STATIC_MUTEX_(mutex) and // GTEST_DEFINE_STATIC_MUTEX_(mutex) // // GTEST_EXCLUSIVE_LOCK_REQUIRED_(locks) // GTEST_LOCK_EXCLUDED_(locks) // // ** Custom implementation starts here ** #ifndef GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_PORT_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_PORT_H_ #endif // GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_PORT_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/custom/gtest-printers.h0000644000175100017510000000406315112307767030463 0ustar00runnerrunner// Copyright 2015, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // This file provides an injection point for custom printers in a local // installation of gTest. // It will be included from gtest-printers.h and the overrides in this file // will be visible to everyone. // See documentation at gtest/gtest-printers.h for details on how to define a // custom printer. // // ** Custom implementation starts here ** #ifndef GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_PRINTERS_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_PRINTERS_H_ #endif // GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_PRINTERS_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/custom/gtest.h0000644000175100017510000000371315112307767026620 0ustar00runnerrunner// Copyright 2015, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Injection point for custom user configurations. // The following macros can be defined: // // GTEST_OS_STACK_TRACE_GETTER_ - The name of an implementation of // OsStackTraceGetterInterface. // // ** Custom implementation starts here ** #ifndef GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_H_ #endif // GTEST_INCLUDE_GTEST_INTERNAL_CUSTOM_GTEST_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-death-test-internal.h0000644000175100017510000003216515112307767031163 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Authors: wan@google.com (Zhanyong Wan), eefacm@gmail.com (Sean Mcafee) // // The Google C++ Testing Framework (Google Test) // // This header file defines internal utilities needed for implementing // death tests. They are subject to change without notice. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_DEATH_TEST_INTERNAL_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_DEATH_TEST_INTERNAL_H_ #include "gtest/internal/gtest-internal.h" #include namespace testing { namespace internal { GTEST_DECLARE_string_(internal_run_death_test); // Names of the flags (needed for parsing Google Test flags). const char kDeathTestStyleFlag[] = "death_test_style"; const char kDeathTestUseFork[] = "death_test_use_fork"; const char kInternalRunDeathTestFlag[] = "internal_run_death_test"; #if GTEST_HAS_DEATH_TEST // DeathTest is a class that hides much of the complexity of the // GTEST_DEATH_TEST_ macro. It is abstract; its static Create method // returns a concrete class that depends on the prevailing death test // style, as defined by the --gtest_death_test_style and/or // --gtest_internal_run_death_test flags. // In describing the results of death tests, these terms are used with // the corresponding definitions: // // exit status: The integer exit information in the format specified // by wait(2) // exit code: The integer code passed to exit(3), _exit(2), or // returned from main() class GTEST_API_ DeathTest { public: // Create returns false if there was an error determining the // appropriate action to take for the current death test; for example, // if the gtest_death_test_style flag is set to an invalid value. // The LastMessage method will return a more detailed message in that // case. Otherwise, the DeathTest pointer pointed to by the "test" // argument is set. If the death test should be skipped, the pointer // is set to NULL; otherwise, it is set to the address of a new concrete // DeathTest object that controls the execution of the current test. static bool Create(const char* statement, const RE* regex, const char* file, int line, DeathTest** test); DeathTest(); virtual ~DeathTest() { } // A helper class that aborts a death test when it's deleted. class ReturnSentinel { public: explicit ReturnSentinel(DeathTest* test) : test_(test) { } ~ReturnSentinel() { test_->Abort(TEST_ENCOUNTERED_RETURN_STATEMENT); } private: DeathTest* const test_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ReturnSentinel); } GTEST_ATTRIBUTE_UNUSED_; // An enumeration of possible roles that may be taken when a death // test is encountered. EXECUTE means that the death test logic should // be executed immediately. OVERSEE means that the program should prepare // the appropriate environment for a child process to execute the death // test, then wait for it to complete. enum TestRole { OVERSEE_TEST, EXECUTE_TEST }; // An enumeration of the three reasons that a test might be aborted. enum AbortReason { TEST_ENCOUNTERED_RETURN_STATEMENT, TEST_THREW_EXCEPTION, TEST_DID_NOT_DIE }; // Assumes one of the above roles. virtual TestRole AssumeRole() = 0; // Waits for the death test to finish and returns its status. virtual int Wait() = 0; // Returns true if the death test passed; that is, the test process // exited during the test, its exit status matches a user-supplied // predicate, and its stderr output matches a user-supplied regular // expression. // The user-supplied predicate may be a macro expression rather // than a function pointer or functor, or else Wait and Passed could // be combined. virtual bool Passed(bool exit_status_ok) = 0; // Signals that the death test did not die as expected. virtual void Abort(AbortReason reason) = 0; // Returns a human-readable outcome message regarding the outcome of // the last death test. static const char* LastMessage(); static void set_last_death_test_message(const std::string& message); private: // A string containing a description of the outcome of the last death test. static std::string last_death_test_message_; GTEST_DISALLOW_COPY_AND_ASSIGN_(DeathTest); }; // Factory interface for death tests. May be mocked out for testing. class DeathTestFactory { public: virtual ~DeathTestFactory() { } virtual bool Create(const char* statement, const RE* regex, const char* file, int line, DeathTest** test) = 0; }; // A concrete DeathTestFactory implementation for normal use. class DefaultDeathTestFactory : public DeathTestFactory { public: virtual bool Create(const char* statement, const RE* regex, const char* file, int line, DeathTest** test); }; // Returns true if exit_status describes a process that was terminated // by a signal, or exited normally with a nonzero exit code. GTEST_API_ bool ExitedUnsuccessfully(int exit_status); // Traps C++ exceptions escaping statement and reports them as test // failures. Note that trapping SEH exceptions is not implemented here. # if GTEST_HAS_EXCEPTIONS # define GTEST_EXECUTE_DEATH_TEST_STATEMENT_(statement, death_test) \ try { \ GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement); \ } catch (const ::std::exception& gtest_exception) { \ fprintf(\ stderr, \ "\n%s: Caught std::exception-derived exception escaping the " \ "death test statement. Exception message: %s\n", \ ::testing::internal::FormatFileLocation(__FILE__, __LINE__).c_str(), \ gtest_exception.what()); \ fflush(stderr); \ death_test->Abort(::testing::internal::DeathTest::TEST_THREW_EXCEPTION); \ } catch (...) { \ death_test->Abort(::testing::internal::DeathTest::TEST_THREW_EXCEPTION); \ } # else # define GTEST_EXECUTE_DEATH_TEST_STATEMENT_(statement, death_test) \ GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement) # endif // This macro is for implementing ASSERT_DEATH*, EXPECT_DEATH*, // ASSERT_EXIT*, and EXPECT_EXIT*. # define GTEST_DEATH_TEST_(statement, predicate, regex, fail) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (::testing::internal::AlwaysTrue()) { \ const ::testing::internal::RE& gtest_regex = (regex); \ ::testing::internal::DeathTest* gtest_dt; \ if (!::testing::internal::DeathTest::Create(#statement, >est_regex, \ __FILE__, __LINE__, >est_dt)) { \ goto GTEST_CONCAT_TOKEN_(gtest_label_, __LINE__); \ } \ if (gtest_dt != NULL) { \ ::testing::internal::scoped_ptr< ::testing::internal::DeathTest> \ gtest_dt_ptr(gtest_dt); \ switch (gtest_dt->AssumeRole()) { \ case ::testing::internal::DeathTest::OVERSEE_TEST: \ if (!gtest_dt->Passed(predicate(gtest_dt->Wait()))) { \ goto GTEST_CONCAT_TOKEN_(gtest_label_, __LINE__); \ } \ break; \ case ::testing::internal::DeathTest::EXECUTE_TEST: { \ ::testing::internal::DeathTest::ReturnSentinel \ gtest_sentinel(gtest_dt); \ GTEST_EXECUTE_DEATH_TEST_STATEMENT_(statement, gtest_dt); \ gtest_dt->Abort(::testing::internal::DeathTest::TEST_DID_NOT_DIE); \ break; \ } \ default: \ break; \ } \ } \ } else \ GTEST_CONCAT_TOKEN_(gtest_label_, __LINE__): \ fail(::testing::internal::DeathTest::LastMessage()) // The symbol "fail" here expands to something into which a message // can be streamed. // This macro is for implementing ASSERT/EXPECT_DEBUG_DEATH when compiled in // NDEBUG mode. In this case we need the statements to be executed, the regex is // ignored, and the macro must accept a streamed message even though the message // is never printed. # define GTEST_EXECUTE_STATEMENT_(statement, regex) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (::testing::internal::AlwaysTrue()) { \ GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement); \ } else \ ::testing::Message() // A class representing the parsed contents of the // --gtest_internal_run_death_test flag, as it existed when // RUN_ALL_TESTS was called. class InternalRunDeathTestFlag { public: InternalRunDeathTestFlag(const std::string& a_file, int a_line, int an_index, int a_write_fd) : file_(a_file), line_(a_line), index_(an_index), write_fd_(a_write_fd) {} ~InternalRunDeathTestFlag() { if (write_fd_ >= 0) posix::Close(write_fd_); } const std::string& file() const { return file_; } int line() const { return line_; } int index() const { return index_; } int write_fd() const { return write_fd_; } private: std::string file_; int line_; int index_; int write_fd_; GTEST_DISALLOW_COPY_AND_ASSIGN_(InternalRunDeathTestFlag); }; // Returns a newly created InternalRunDeathTestFlag object with fields // initialized from the GTEST_FLAG(internal_run_death_test) flag if // the flag is specified; otherwise returns NULL. InternalRunDeathTestFlag* ParseInternalRunDeathTestFlag(); #else // GTEST_HAS_DEATH_TEST // This macro is used for implementing macros such as // EXPECT_DEATH_IF_SUPPORTED and ASSERT_DEATH_IF_SUPPORTED on systems where // death tests are not supported. Those macros must compile on such systems // iff EXPECT_DEATH and ASSERT_DEATH compile with the same parameters on // systems that support death tests. This allows one to write such a macro // on a system that does not support death tests and be sure that it will // compile on a death-test supporting system. // // Parameters: // statement - A statement that a macro such as EXPECT_DEATH would test // for program termination. This macro has to make sure this // statement is compiled but not executed, to ensure that // EXPECT_DEATH_IF_SUPPORTED compiles with a certain // parameter iff EXPECT_DEATH compiles with it. // regex - A regex that a macro such as EXPECT_DEATH would use to test // the output of statement. This parameter has to be // compiled but not evaluated by this macro, to ensure that // this macro only accepts expressions that a macro such as // EXPECT_DEATH would accept. // terminator - Must be an empty statement for EXPECT_DEATH_IF_SUPPORTED // and a return statement for ASSERT_DEATH_IF_SUPPORTED. // This ensures that ASSERT_DEATH_IF_SUPPORTED will not // compile inside functions where ASSERT_DEATH doesn't // compile. // // The branch that has an always false condition is used to ensure that // statement and regex are compiled (and thus syntactically correct) but // never executed. The unreachable code macro protects the terminator // statement from generating an 'unreachable code' warning in case // statement unconditionally returns or throws. The Message constructor at // the end allows the syntax of streaming additional messages into the // macro, for compilational compatibility with EXPECT_DEATH/ASSERT_DEATH. # define GTEST_UNSUPPORTED_DEATH_TEST_(statement, regex, terminator) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (::testing::internal::AlwaysTrue()) { \ GTEST_LOG_(WARNING) \ << "Death tests are not supported on this platform.\n" \ << "Statement '" #statement "' cannot be verified."; \ } else if (::testing::internal::AlwaysFalse()) { \ ::testing::internal::RE::PartialMatch(".*", (regex)); \ GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement); \ terminator; \ } else \ ::testing::Message() #endif // GTEST_HAS_DEATH_TEST } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_DEATH_TEST_INTERNAL_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-filepath.h0000644000175100017510000002260315112307767027077 0ustar00runnerrunner// Copyright 2008, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: keith.ray@gmail.com (Keith Ray) // // Google Test filepath utilities // // This header file declares classes and functions used internally by // Google Test. They are subject to change without notice. // // This file is #included in . // Do not include this header file separately! #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_FILEPATH_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_FILEPATH_H_ #include "gtest/internal/gtest-string.h" namespace testing { namespace internal { // FilePath - a class for file and directory pathname manipulation which // handles platform-specific conventions (like the pathname separator). // Used for helper functions for naming files in a directory for xml output. // Except for Set methods, all methods are const or static, which provides an // "immutable value object" -- useful for peace of mind. // A FilePath with a value ending in a path separator ("like/this/") represents // a directory, otherwise it is assumed to represent a file. In either case, // it may or may not represent an actual file or directory in the file system. // Names are NOT checked for syntax correctness -- no checking for illegal // characters, malformed paths, etc. class GTEST_API_ FilePath { public: FilePath() : pathname_("") { } FilePath(const FilePath& rhs) : pathname_(rhs.pathname_) { } explicit FilePath(const std::string& pathname) : pathname_(pathname) { Normalize(); } FilePath& operator=(const FilePath& rhs) { Set(rhs); return *this; } void Set(const FilePath& rhs) { pathname_ = rhs.pathname_; } const std::string& string() const { return pathname_; } const char* c_str() const { return pathname_.c_str(); } // Returns the current working directory, or "" if unsuccessful. static FilePath GetCurrentDir(); // Given directory = "dir", base_name = "test", number = 0, // extension = "xml", returns "dir/test.xml". If number is greater // than zero (e.g., 12), returns "dir/test_12.xml". // On Windows platform, uses \ as the separator rather than /. static FilePath MakeFileName(const FilePath& directory, const FilePath& base_name, int number, const char* extension); // Given directory = "dir", relative_path = "test.xml", // returns "dir/test.xml". // On Windows, uses \ as the separator rather than /. static FilePath ConcatPaths(const FilePath& directory, const FilePath& relative_path); // Returns a pathname for a file that does not currently exist. The pathname // will be directory/base_name.extension or // directory/base_name_.extension if directory/base_name.extension // already exists. The number will be incremented until a pathname is found // that does not already exist. // Examples: 'dir/foo_test.xml' or 'dir/foo_test_1.xml'. // There could be a race condition if two or more processes are calling this // function at the same time -- they could both pick the same filename. static FilePath GenerateUniqueFileName(const FilePath& directory, const FilePath& base_name, const char* extension); // Returns true iff the path is "". bool IsEmpty() const { return pathname_.empty(); } // If input name has a trailing separator character, removes it and returns // the name, otherwise return the name string unmodified. // On Windows platform, uses \ as the separator, other platforms use /. FilePath RemoveTrailingPathSeparator() const; // Returns a copy of the FilePath with the directory part removed. // Example: FilePath("path/to/file").RemoveDirectoryName() returns // FilePath("file"). If there is no directory part ("just_a_file"), it returns // the FilePath unmodified. If there is no file part ("just_a_dir/") it // returns an empty FilePath (""). // On Windows platform, '\' is the path separator, otherwise it is '/'. FilePath RemoveDirectoryName() const; // RemoveFileName returns the directory path with the filename removed. // Example: FilePath("path/to/file").RemoveFileName() returns "path/to/". // If the FilePath is "a_file" or "/a_file", RemoveFileName returns // FilePath("./") or, on Windows, FilePath(".\\"). If the filepath does // not have a file, like "just/a/dir/", it returns the FilePath unmodified. // On Windows platform, '\' is the path separator, otherwise it is '/'. FilePath RemoveFileName() const; // Returns a copy of the FilePath with the case-insensitive extension removed. // Example: FilePath("dir/file.exe").RemoveExtension("EXE") returns // FilePath("dir/file"). If a case-insensitive extension is not // found, returns a copy of the original FilePath. FilePath RemoveExtension(const char* extension) const; // Creates directories so that path exists. Returns true if successful or if // the directories already exist; returns false if unable to create // directories for any reason. Will also return false if the FilePath does // not represent a directory (that is, it doesn't end with a path separator). bool CreateDirectoriesRecursively() const; // Create the directory so that path exists. Returns true if successful or // if the directory already exists; returns false if unable to create the // directory for any reason, including if the parent directory does not // exist. Not named "CreateDirectory" because that's a macro on Windows. bool CreateFolder() const; // Returns true if FilePath describes something in the file-system, // either a file, directory, or whatever, and that something exists. bool FileOrDirectoryExists() const; // Returns true if pathname describes a directory in the file-system // that exists. bool DirectoryExists() const; // Returns true if FilePath ends with a path separator, which indicates that // it is intended to represent a directory. Returns false otherwise. // This does NOT check that a directory (or file) actually exists. bool IsDirectory() const; // Returns true if pathname describes a root directory. (Windows has one // root directory per disk drive.) bool IsRootDirectory() const; // Returns true if pathname describes an absolute path. bool IsAbsolutePath() const; private: // Replaces multiple consecutive separators with a single separator. // For example, "bar///foo" becomes "bar/foo". Does not eliminate other // redundancies that might be in a pathname involving "." or "..". // // A pathname with multiple consecutive separators may occur either through // user error or as a result of some scripts or APIs that generate a pathname // with a trailing separator. On other platforms the same API or script // may NOT generate a pathname with a trailing "/". Then elsewhere that // pathname may have another "/" and pathname components added to it, // without checking for the separator already being there. // The script language and operating system may allow paths like "foo//bar" // but some of the functions in FilePath will not handle that correctly. In // particular, RemoveTrailingPathSeparator() only removes one separator, and // it is called in CreateDirectoriesRecursively() assuming that it will change // a pathname from directory syntax (trailing separator) to filename syntax. // // On Windows this method also replaces the alternate path separator '/' with // the primary path separator '\\', so that for example "bar\\/\\foo" becomes // "bar\\foo". void Normalize(); // Returns a pointer to the last occurence of a valid path separator in // the FilePath. On Windows, for example, both '/' and '\' are valid path // separators. Returns NULL if no path separator was found. const char* FindLastPathSeparator() const; std::string pathname_; }; // class FilePath } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_FILEPATH_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-internal.h0000644000175100017510000013426415112307767027126 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Authors: wan@google.com (Zhanyong Wan), eefacm@gmail.com (Sean Mcafee) // // The Google C++ Testing Framework (Google Test) // // This header file declares functions and macros used internally by // Google Test. They are subject to change without notice. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_INTERNAL_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_INTERNAL_H_ #include "gtest/internal/gtest-port.h" #if GTEST_OS_LINUX # include # include # include # include #endif // GTEST_OS_LINUX #if GTEST_HAS_EXCEPTIONS # include #endif #include #include #include #include #include #include #include #include #include #include "gtest/gtest-message.h" #include "gtest/internal/gtest-string.h" #include "gtest/internal/gtest-filepath.h" #include "gtest/internal/gtest-type-util.h" // Due to C++ preprocessor weirdness, we need double indirection to // concatenate two tokens when one of them is __LINE__. Writing // // foo ## __LINE__ // // will result in the token foo__LINE__, instead of foo followed by // the current line number. For more details, see // http://www.parashift.com/c++-faq-lite/misc-technical-issues.html#faq-39.6 #define GTEST_CONCAT_TOKEN_(foo, bar) GTEST_CONCAT_TOKEN_IMPL_(foo, bar) #define GTEST_CONCAT_TOKEN_IMPL_(foo, bar) foo ## bar class ProtocolMessage; namespace proto2 { class Message; } namespace testing { // Forward declarations. class AssertionResult; // Result of an assertion. class Message; // Represents a failure message. class Test; // Represents a test. class TestInfo; // Information about a test. class TestPartResult; // Result of a test part. class UnitTest; // A collection of test cases. template ::std::string PrintToString(const T& value); namespace internal { struct TraceInfo; // Information about a trace point. class ScopedTrace; // Implements scoped trace. class TestInfoImpl; // Opaque implementation of TestInfo class UnitTestImpl; // Opaque implementation of UnitTest // The text used in failure messages to indicate the start of the // stack trace. GTEST_API_ extern const char kStackTraceMarker[]; // Two overloaded helpers for checking at compile time whether an // expression is a null pointer literal (i.e. NULL or any 0-valued // compile-time integral constant). Their return values have // different sizes, so we can use sizeof() to test which version is // picked by the compiler. These helpers have no implementations, as // we only need their signatures. // // Given IsNullLiteralHelper(x), the compiler will pick the first // version if x can be implicitly converted to Secret*, and pick the // second version otherwise. Since Secret is a secret and incomplete // type, the only expression a user can write that has type Secret* is // a null pointer literal. Therefore, we know that x is a null // pointer literal if and only if the first version is picked by the // compiler. char IsNullLiteralHelper(Secret* p); char (&IsNullLiteralHelper(...))[2]; // NOLINT // A compile-time bool constant that is true if and only if x is a // null pointer literal (i.e. NULL or any 0-valued compile-time // integral constant). #ifdef GTEST_ELLIPSIS_NEEDS_POD_ // We lose support for NULL detection where the compiler doesn't like // passing non-POD classes through ellipsis (...). # define GTEST_IS_NULL_LITERAL_(x) false #else # define GTEST_IS_NULL_LITERAL_(x) \ (sizeof(::testing::internal::IsNullLiteralHelper(x)) == 1) #endif // GTEST_ELLIPSIS_NEEDS_POD_ // Appends the user-supplied message to the Google-Test-generated message. GTEST_API_ std::string AppendUserMessage( const std::string& gtest_msg, const Message& user_msg); #if GTEST_HAS_EXCEPTIONS // This exception is thrown by (and only by) a failed Google Test // assertion when GTEST_FLAG(throw_on_failure) is true (if exceptions // are enabled). We derive it from std::runtime_error, which is for // errors presumably detectable only at run time. Since // std::runtime_error inherits from std::exception, many testing // frameworks know how to extract and print the message inside it. class GTEST_API_ GoogleTestFailureException : public ::std::runtime_error { public: explicit GoogleTestFailureException(const TestPartResult& failure); }; #endif // GTEST_HAS_EXCEPTIONS // A helper class for creating scoped traces in user programs. class GTEST_API_ ScopedTrace { public: // The c'tor pushes the given source file location and message onto // a trace stack maintained by Google Test. ScopedTrace(const char* file, int line, const Message& message); // The d'tor pops the info pushed by the c'tor. // // Note that the d'tor is not virtual in order to be efficient. // Don't inherit from ScopedTrace! ~ScopedTrace(); private: GTEST_DISALLOW_COPY_AND_ASSIGN_(ScopedTrace); } GTEST_ATTRIBUTE_UNUSED_; // A ScopedTrace object does its job in its // c'tor and d'tor. Therefore it doesn't // need to be used otherwise. namespace edit_distance { // Returns the optimal edits to go from 'left' to 'right'. // All edits cost the same, with replace having lower priority than // add/remove. // Simple implementation of the Wagner–Fischer algorithm. // See http://en.wikipedia.org/wiki/Wagner-Fischer_algorithm enum EditType { kMatch, kAdd, kRemove, kReplace }; GTEST_API_ std::vector CalculateOptimalEdits( const std::vector& left, const std::vector& right); // Same as above, but the input is represented as strings. GTEST_API_ std::vector CalculateOptimalEdits( const std::vector& left, const std::vector& right); // Create a diff of the input strings in Unified diff format. GTEST_API_ std::string CreateUnifiedDiff(const std::vector& left, const std::vector& right, size_t context = 2); } // namespace edit_distance // Calculate the diff between 'left' and 'right' and return it in unified diff // format. // If not null, stores in 'total_line_count' the total number of lines found // in left + right. GTEST_API_ std::string DiffStrings(const std::string& left, const std::string& right, size_t* total_line_count); // Constructs and returns the message for an equality assertion // (e.g. ASSERT_EQ, EXPECT_STREQ, etc) failure. // // The first four parameters are the expressions used in the assertion // and their values, as strings. For example, for ASSERT_EQ(foo, bar) // where foo is 5 and bar is 6, we have: // // expected_expression: "foo" // actual_expression: "bar" // expected_value: "5" // actual_value: "6" // // The ignoring_case parameter is true iff the assertion is a // *_STRCASEEQ*. When it's true, the string " (ignoring case)" will // be inserted into the message. GTEST_API_ AssertionResult EqFailure(const char* expected_expression, const char* actual_expression, const std::string& expected_value, const std::string& actual_value, bool ignoring_case); // Constructs a failure message for Boolean assertions such as EXPECT_TRUE. GTEST_API_ std::string GetBoolAssertionFailureMessage( const AssertionResult& assertion_result, const char* expression_text, const char* actual_predicate_value, const char* expected_predicate_value); // This template class represents an IEEE floating-point number // (either single-precision or double-precision, depending on the // template parameters). // // The purpose of this class is to do more sophisticated number // comparison. (Due to round-off error, etc, it's very unlikely that // two floating-points will be equal exactly. Hence a naive // comparison by the == operation often doesn't work.) // // Format of IEEE floating-point: // // The most-significant bit being the leftmost, an IEEE // floating-point looks like // // sign_bit exponent_bits fraction_bits // // Here, sign_bit is a single bit that designates the sign of the // number. // // For float, there are 8 exponent bits and 23 fraction bits. // // For double, there are 11 exponent bits and 52 fraction bits. // // More details can be found at // http://en.wikipedia.org/wiki/IEEE_floating-point_standard. // // Template parameter: // // RawType: the raw floating-point type (either float or double) template class FloatingPoint { public: // Defines the unsigned integer type that has the same size as the // floating point number. typedef typename TypeWithSize::UInt Bits; // Constants. // # of bits in a number. static const size_t kBitCount = 8*sizeof(RawType); // # of fraction bits in a number. static const size_t kFractionBitCount = std::numeric_limits::digits - 1; // # of exponent bits in a number. static const size_t kExponentBitCount = kBitCount - 1 - kFractionBitCount; // The mask for the sign bit. static const Bits kSignBitMask = static_cast(1) << (kBitCount - 1); // The mask for the fraction bits. static const Bits kFractionBitMask = ~static_cast(0) >> (kExponentBitCount + 1); // The mask for the exponent bits. static const Bits kExponentBitMask = ~(kSignBitMask | kFractionBitMask); // How many ULP's (Units in the Last Place) we want to tolerate when // comparing two numbers. The larger the value, the more error we // allow. A 0 value means that two numbers must be exactly the same // to be considered equal. // // The maximum error of a single floating-point operation is 0.5 // units in the last place. On Intel CPU's, all floating-point // calculations are done with 80-bit precision, while double has 64 // bits. Therefore, 4 should be enough for ordinary use. // // See the following article for more details on ULP: // http://randomascii.wordpress.com/2012/02/25/comparing-floating-point-numbers-2012-edition/ static const size_t kMaxUlps = 4; // Constructs a FloatingPoint from a raw floating-point number. // // On an Intel CPU, passing a non-normalized NAN (Not a Number) // around may change its bits, although the new value is guaranteed // to be also a NAN. Therefore, don't expect this constructor to // preserve the bits in x when x is a NAN. explicit FloatingPoint(const RawType& x) { u_.value_ = x; } // Static methods // Reinterprets a bit pattern as a floating-point number. // // This function is needed to test the AlmostEquals() method. static RawType ReinterpretBits(const Bits bits) { FloatingPoint fp(0); fp.u_.bits_ = bits; return fp.u_.value_; } // Returns the floating-point number that represent positive infinity. static RawType Infinity() { return ReinterpretBits(kExponentBitMask); } // Returns the maximum representable finite floating-point number. static RawType Max(); // Non-static methods // Returns the bits that represents this number. const Bits &bits() const { return u_.bits_; } // Returns the exponent bits of this number. Bits exponent_bits() const { return kExponentBitMask & u_.bits_; } // Returns the fraction bits of this number. Bits fraction_bits() const { return kFractionBitMask & u_.bits_; } // Returns the sign bit of this number. Bits sign_bit() const { return kSignBitMask & u_.bits_; } // Returns true iff this is NAN (not a number). bool is_nan() const { // It's a NAN if the exponent bits are all ones and the fraction // bits are not entirely zeros. return (exponent_bits() == kExponentBitMask) && (fraction_bits() != 0); } // Returns true iff this number is at most kMaxUlps ULP's away from // rhs. In particular, this function: // // - returns false if either number is (or both are) NAN. // - treats really large numbers as almost equal to infinity. // - thinks +0.0 and -0.0 are 0 DLP's apart. bool AlmostEquals(const FloatingPoint& rhs) const { // The IEEE standard says that any comparison operation involving // a NAN must return false. if (is_nan() || rhs.is_nan()) return false; return DistanceBetweenSignAndMagnitudeNumbers(u_.bits_, rhs.u_.bits_) <= kMaxUlps; } private: // The data type used to store the actual floating-point number. union FloatingPointUnion { RawType value_; // The raw floating-point number. Bits bits_; // The bits that represent the number. }; // Converts an integer from the sign-and-magnitude representation to // the biased representation. More precisely, let N be 2 to the // power of (kBitCount - 1), an integer x is represented by the // unsigned number x + N. // // For instance, // // -N + 1 (the most negative number representable using // sign-and-magnitude) is represented by 1; // 0 is represented by N; and // N - 1 (the biggest number representable using // sign-and-magnitude) is represented by 2N - 1. // // Read http://en.wikipedia.org/wiki/Signed_number_representations // for more details on signed number representations. static Bits SignAndMagnitudeToBiased(const Bits &sam) { if (kSignBitMask & sam) { // sam represents a negative number. return ~sam + 1; } else { // sam represents a positive number. return kSignBitMask | sam; } } // Given two numbers in the sign-and-magnitude representation, // returns the distance between them as an unsigned number. static Bits DistanceBetweenSignAndMagnitudeNumbers(const Bits &sam1, const Bits &sam2) { const Bits biased1 = SignAndMagnitudeToBiased(sam1); const Bits biased2 = SignAndMagnitudeToBiased(sam2); return (biased1 >= biased2) ? (biased1 - biased2) : (biased2 - biased1); } FloatingPointUnion u_; }; // We cannot use std::numeric_limits::max() as it clashes with the max() // macro defined by . template <> inline float FloatingPoint::Max() { return FLT_MAX; } template <> inline double FloatingPoint::Max() { return DBL_MAX; } // Typedefs the instances of the FloatingPoint template class that we // care to use. typedef FloatingPoint Float; typedef FloatingPoint Double; // In order to catch the mistake of putting tests that use different // test fixture classes in the same test case, we need to assign // unique IDs to fixture classes and compare them. The TypeId type is // used to hold such IDs. The user should treat TypeId as an opaque // type: the only operation allowed on TypeId values is to compare // them for equality using the == operator. typedef const void* TypeId; template class TypeIdHelper { public: // dummy_ must not have a const type. Otherwise an overly eager // compiler (e.g. MSVC 7.1 & 8.0) may try to merge // TypeIdHelper::dummy_ for different Ts as an "optimization". static bool dummy_; }; template bool TypeIdHelper::dummy_ = false; // GetTypeId() returns the ID of type T. Different values will be // returned for different types. Calling the function twice with the // same type argument is guaranteed to return the same ID. template TypeId GetTypeId() { // The compiler is required to allocate a different // TypeIdHelper::dummy_ variable for each T used to instantiate // the template. Therefore, the address of dummy_ is guaranteed to // be unique. return &(TypeIdHelper::dummy_); } // Returns the type ID of ::testing::Test. Always call this instead // of GetTypeId< ::testing::Test>() to get the type ID of // ::testing::Test, as the latter may give the wrong result due to a // suspected linker bug when compiling Google Test as a Mac OS X // framework. GTEST_API_ TypeId GetTestTypeId(); // Defines the abstract factory interface that creates instances // of a Test object. class TestFactoryBase { public: virtual ~TestFactoryBase() {} // Creates a test instance to run. The instance is both created and destroyed // within TestInfoImpl::Run() virtual Test* CreateTest() = 0; protected: TestFactoryBase() {} private: GTEST_DISALLOW_COPY_AND_ASSIGN_(TestFactoryBase); }; // This class provides implementation of TeastFactoryBase interface. // It is used in TEST and TEST_F macros. template class TestFactoryImpl : public TestFactoryBase { public: virtual Test* CreateTest() { return new TestClass; } }; #if GTEST_OS_WINDOWS // Predicate-formatters for implementing the HRESULT checking macros // {ASSERT|EXPECT}_HRESULT_{SUCCEEDED|FAILED} // We pass a long instead of HRESULT to avoid causing an // include dependency for the HRESULT type. GTEST_API_ AssertionResult IsHRESULTSuccess(const char* expr, long hr); // NOLINT GTEST_API_ AssertionResult IsHRESULTFailure(const char* expr, long hr); // NOLINT #endif // GTEST_OS_WINDOWS // Types of SetUpTestCase() and TearDownTestCase() functions. typedef void (*SetUpTestCaseFunc)(); typedef void (*TearDownTestCaseFunc)(); struct CodeLocation { CodeLocation(const string& a_file, int a_line) : file(a_file), line(a_line) {} string file; int line; }; // Creates a new TestInfo object and registers it with Google Test; // returns the created object. // // Arguments: // // test_case_name: name of the test case // name: name of the test // type_param the name of the test's type parameter, or NULL if // this is not a typed or a type-parameterized test. // value_param text representation of the test's value parameter, // or NULL if this is not a type-parameterized test. // code_location: code location where the test is defined // fixture_class_id: ID of the test fixture class // set_up_tc: pointer to the function that sets up the test case // tear_down_tc: pointer to the function that tears down the test case // factory: pointer to the factory that creates a test object. // The newly created TestInfo instance will assume // ownership of the factory object. GTEST_API_ TestInfo* MakeAndRegisterTestInfo( const char* test_case_name, const char* name, const char* type_param, const char* value_param, CodeLocation code_location, TypeId fixture_class_id, SetUpTestCaseFunc set_up_tc, TearDownTestCaseFunc tear_down_tc, TestFactoryBase* factory); // If *pstr starts with the given prefix, modifies *pstr to be right // past the prefix and returns true; otherwise leaves *pstr unchanged // and returns false. None of pstr, *pstr, and prefix can be NULL. GTEST_API_ bool SkipPrefix(const char* prefix, const char** pstr); #if GTEST_HAS_TYPED_TEST || GTEST_HAS_TYPED_TEST_P // State of the definition of a type-parameterized test case. class GTEST_API_ TypedTestCasePState { public: TypedTestCasePState() : registered_(false) {} // Adds the given test name to defined_test_names_ and return true // if the test case hasn't been registered; otherwise aborts the // program. bool AddTestName(const char* file, int line, const char* case_name, const char* test_name) { if (registered_) { fprintf(stderr, "%s Test %s must be defined before " "REGISTER_TYPED_TEST_CASE_P(%s, ...).\n", FormatFileLocation(file, line).c_str(), test_name, case_name); fflush(stderr); posix::Abort(); } registered_tests_.insert( ::std::make_pair(test_name, CodeLocation(file, line))); return true; } bool TestExists(const std::string& test_name) const { return registered_tests_.count(test_name) > 0; } const CodeLocation& GetCodeLocation(const std::string& test_name) const { RegisteredTestsMap::const_iterator it = registered_tests_.find(test_name); GTEST_CHECK_(it != registered_tests_.end()); return it->second; } // Verifies that registered_tests match the test names in // defined_test_names_; returns registered_tests if successful, or // aborts the program otherwise. const char* VerifyRegisteredTestNames( const char* file, int line, const char* registered_tests); private: typedef ::std::map RegisteredTestsMap; bool registered_; RegisteredTestsMap registered_tests_; }; // Skips to the first non-space char after the first comma in 'str'; // returns NULL if no comma is found in 'str'. inline const char* SkipComma(const char* str) { const char* comma = strchr(str, ','); if (comma == NULL) { return NULL; } while (IsSpace(*(++comma))) {} return comma; } // Returns the prefix of 'str' before the first comma in it; returns // the entire string if it contains no comma. inline std::string GetPrefixUntilComma(const char* str) { const char* comma = strchr(str, ','); return comma == NULL ? str : std::string(str, comma); } // Splits a given string on a given delimiter, populating a given // vector with the fields. void SplitString(const ::std::string& str, char delimiter, ::std::vector< ::std::string>* dest); // TypeParameterizedTest::Register() // registers a list of type-parameterized tests with Google Test. The // return value is insignificant - we just need to return something // such that we can call this function in a namespace scope. // // Implementation note: The GTEST_TEMPLATE_ macro declares a template // template parameter. It's defined in gtest-type-util.h. template class TypeParameterizedTest { public: // 'index' is the index of the test in the type list 'Types' // specified in INSTANTIATE_TYPED_TEST_CASE_P(Prefix, TestCase, // Types). Valid values for 'index' are [0, N - 1] where N is the // length of Types. static bool Register(const char* prefix, CodeLocation code_location, const char* case_name, const char* test_names, int index) { typedef typename Types::Head Type; typedef Fixture FixtureClass; typedef typename GTEST_BIND_(TestSel, Type) TestClass; // First, registers the first type-parameterized test in the type // list. MakeAndRegisterTestInfo( (std::string(prefix) + (prefix[0] == '\0' ? "" : "/") + case_name + "/" + StreamableToString(index)).c_str(), StripTrailingSpaces(GetPrefixUntilComma(test_names)).c_str(), GetTypeName().c_str(), NULL, // No value parameter. code_location, GetTypeId(), TestClass::SetUpTestCase, TestClass::TearDownTestCase, new TestFactoryImpl); // Next, recurses (at compile time) with the tail of the type list. return TypeParameterizedTest ::Register(prefix, code_location, case_name, test_names, index + 1); } }; // The base case for the compile time recursion. template class TypeParameterizedTest { public: static bool Register(const char* /*prefix*/, CodeLocation, const char* /*case_name*/, const char* /*test_names*/, int /*index*/) { return true; } }; // TypeParameterizedTestCase::Register() // registers *all combinations* of 'Tests' and 'Types' with Google // Test. The return value is insignificant - we just need to return // something such that we can call this function in a namespace scope. template class TypeParameterizedTestCase { public: static bool Register(const char* prefix, CodeLocation code_location, const TypedTestCasePState* state, const char* case_name, const char* test_names) { std::string test_name = StripTrailingSpaces( GetPrefixUntilComma(test_names)); if (!state->TestExists(test_name)) { fprintf(stderr, "Failed to get code location for test %s.%s at %s.", case_name, test_name.c_str(), FormatFileLocation(code_location.file.c_str(), code_location.line).c_str()); fflush(stderr); posix::Abort(); } const CodeLocation& test_location = state->GetCodeLocation(test_name); typedef typename Tests::Head Head; // First, register the first test in 'Test' for each type in 'Types'. TypeParameterizedTest::Register( prefix, test_location, case_name, test_names, 0); // Next, recurses (at compile time) with the tail of the test list. return TypeParameterizedTestCase ::Register(prefix, code_location, state, case_name, SkipComma(test_names)); } }; // The base case for the compile time recursion. template class TypeParameterizedTestCase { public: static bool Register(const char* /*prefix*/, CodeLocation, const TypedTestCasePState* /*state*/, const char* /*case_name*/, const char* /*test_names*/) { return true; } }; #endif // GTEST_HAS_TYPED_TEST || GTEST_HAS_TYPED_TEST_P // Returns the current OS stack trace as an std::string. // // The maximum number of stack frames to be included is specified by // the gtest_stack_trace_depth flag. The skip_count parameter // specifies the number of top frames to be skipped, which doesn't // count against the number of frames to be included. // // For example, if Foo() calls Bar(), which in turn calls // GetCurrentOsStackTraceExceptTop(..., 1), Foo() will be included in // the trace but Bar() and GetCurrentOsStackTraceExceptTop() won't. GTEST_API_ std::string GetCurrentOsStackTraceExceptTop( UnitTest* unit_test, int skip_count); // Helpers for suppressing warnings on unreachable code or constant // condition. // Always returns true. GTEST_API_ bool AlwaysTrue(); // Always returns false. inline bool AlwaysFalse() { return !AlwaysTrue(); } // Helper for suppressing false warning from Clang on a const char* // variable declared in a conditional expression always being NULL in // the else branch. struct GTEST_API_ ConstCharPtr { ConstCharPtr(const char* str) : value(str) {} operator bool() const { return true; } const char* value; }; // A simple Linear Congruential Generator for generating random // numbers with a uniform distribution. Unlike rand() and srand(), it // doesn't use global state (and therefore can't interfere with user // code). Unlike rand_r(), it's portable. An LCG isn't very random, // but it's good enough for our purposes. class GTEST_API_ Random { public: static const UInt32 kMaxRange = 1u << 31; explicit Random(UInt32 seed) : state_(seed) {} void Reseed(UInt32 seed) { state_ = seed; } // Generates a random number from [0, range). Crashes if 'range' is // 0 or greater than kMaxRange. UInt32 Generate(UInt32 range); private: UInt32 state_; GTEST_DISALLOW_COPY_AND_ASSIGN_(Random); }; // Defining a variable of type CompileAssertTypesEqual will cause a // compiler error iff T1 and T2 are different types. template struct CompileAssertTypesEqual; template struct CompileAssertTypesEqual { }; // Removes the reference from a type if it is a reference type, // otherwise leaves it unchanged. This is the same as // tr1::remove_reference, which is not widely available yet. template struct RemoveReference { typedef T type; }; // NOLINT template struct RemoveReference { typedef T type; }; // NOLINT // A handy wrapper around RemoveReference that works when the argument // T depends on template parameters. #define GTEST_REMOVE_REFERENCE_(T) \ typename ::testing::internal::RemoveReference::type // Removes const from a type if it is a const type, otherwise leaves // it unchanged. This is the same as tr1::remove_const, which is not // widely available yet. template struct RemoveConst { typedef T type; }; // NOLINT template struct RemoveConst { typedef T type; }; // NOLINT // MSVC 8.0, Sun C++, and IBM XL C++ have a bug which causes the above // definition to fail to remove the const in 'const int[3]' and 'const // char[3][4]'. The following specialization works around the bug. template struct RemoveConst { typedef typename RemoveConst::type type[N]; }; #if defined(_MSC_VER) && _MSC_VER < 1400 // This is the only specialization that allows VC++ 7.1 to remove const in // 'const int[3] and 'const int[3][4]'. However, it causes trouble with GCC // and thus needs to be conditionally compiled. template struct RemoveConst { typedef typename RemoveConst::type type[N]; }; #endif // A handy wrapper around RemoveConst that works when the argument // T depends on template parameters. #define GTEST_REMOVE_CONST_(T) \ typename ::testing::internal::RemoveConst::type // Turns const U&, U&, const U, and U all into U. #define GTEST_REMOVE_REFERENCE_AND_CONST_(T) \ GTEST_REMOVE_CONST_(GTEST_REMOVE_REFERENCE_(T)) // Adds reference to a type if it is not a reference type, // otherwise leaves it unchanged. This is the same as // tr1::add_reference, which is not widely available yet. template struct AddReference { typedef T& type; }; // NOLINT template struct AddReference { typedef T& type; }; // NOLINT // A handy wrapper around AddReference that works when the argument T // depends on template parameters. #define GTEST_ADD_REFERENCE_(T) \ typename ::testing::internal::AddReference::type // Adds a reference to const on top of T as necessary. For example, // it transforms // // char ==> const char& // const char ==> const char& // char& ==> const char& // const char& ==> const char& // // The argument T must depend on some template parameters. #define GTEST_REFERENCE_TO_CONST_(T) \ GTEST_ADD_REFERENCE_(const GTEST_REMOVE_REFERENCE_(T)) // ImplicitlyConvertible::value is a compile-time bool // constant that's true iff type From can be implicitly converted to // type To. template class ImplicitlyConvertible { private: // We need the following helper functions only for their types. // They have no implementations. // MakeFrom() is an expression whose type is From. We cannot simply // use From(), as the type From may not have a public default // constructor. static typename AddReference::type MakeFrom(); // These two functions are overloaded. Given an expression // Helper(x), the compiler will pick the first version if x can be // implicitly converted to type To; otherwise it will pick the // second version. // // The first version returns a value of size 1, and the second // version returns a value of size 2. Therefore, by checking the // size of Helper(x), which can be done at compile time, we can tell // which version of Helper() is used, and hence whether x can be // implicitly converted to type To. static char Helper(To); static char (&Helper(...))[2]; // NOLINT // We have to put the 'public' section after the 'private' section, // or MSVC refuses to compile the code. public: #if defined(__BORLANDC__) // C++Builder cannot use member overload resolution during template // instantiation. The simplest workaround is to use its C++0x type traits // functions (C++Builder 2009 and above only). static const bool value = __is_convertible(From, To); #else // MSVC warns about implicitly converting from double to int for // possible loss of data, so we need to temporarily disable the // warning. GTEST_DISABLE_MSC_WARNINGS_PUSH_(4244) static const bool value = sizeof(Helper(ImplicitlyConvertible::MakeFrom())) == 1; GTEST_DISABLE_MSC_WARNINGS_POP_() #endif // __BORLANDC__ }; template const bool ImplicitlyConvertible::value; // IsAProtocolMessage::value is a compile-time bool constant that's // true iff T is type ProtocolMessage, proto2::Message, or a subclass // of those. template struct IsAProtocolMessage : public bool_constant< ImplicitlyConvertible::value || ImplicitlyConvertible::value> { }; // When the compiler sees expression IsContainerTest(0), if C is an // STL-style container class, the first overload of IsContainerTest // will be viable (since both C::iterator* and C::const_iterator* are // valid types and NULL can be implicitly converted to them). It will // be picked over the second overload as 'int' is a perfect match for // the type of argument 0. If C::iterator or C::const_iterator is not // a valid type, the first overload is not viable, and the second // overload will be picked. Therefore, we can determine whether C is // a container class by checking the type of IsContainerTest(0). // The value of the expression is insignificant. // // Note that we look for both C::iterator and C::const_iterator. The // reason is that C++ injects the name of a class as a member of the // class itself (e.g. you can refer to class iterator as either // 'iterator' or 'iterator::iterator'). If we look for C::iterator // only, for example, we would mistakenly think that a class named // iterator is an STL container. // // Also note that the simpler approach of overloading // IsContainerTest(typename C::const_iterator*) and // IsContainerTest(...) doesn't work with Visual Age C++ and Sun C++. typedef int IsContainer; template IsContainer IsContainerTest(int /* dummy */, typename C::iterator* /* it */ = NULL, typename C::const_iterator* /* const_it */ = NULL) { return 0; } typedef char IsNotContainer; template IsNotContainer IsContainerTest(long /* dummy */) { return '\0'; } // EnableIf::type is void when 'Cond' is true, and // undefined when 'Cond' is false. To use SFINAE to make a function // overload only apply when a particular expression is true, add // "typename EnableIf::type* = 0" as the last parameter. template struct EnableIf; template<> struct EnableIf { typedef void type; }; // NOLINT // Utilities for native arrays. // ArrayEq() compares two k-dimensional native arrays using the // elements' operator==, where k can be any integer >= 0. When k is // 0, ArrayEq() degenerates into comparing a single pair of values. template bool ArrayEq(const T* lhs, size_t size, const U* rhs); // This generic version is used when k is 0. template inline bool ArrayEq(const T& lhs, const U& rhs) { return lhs == rhs; } // This overload is used when k >= 1. template inline bool ArrayEq(const T(&lhs)[N], const U(&rhs)[N]) { return internal::ArrayEq(lhs, N, rhs); } // This helper reduces code bloat. If we instead put its logic inside // the previous ArrayEq() function, arrays with different sizes would // lead to different copies of the template code. template bool ArrayEq(const T* lhs, size_t size, const U* rhs) { for (size_t i = 0; i != size; i++) { if (!internal::ArrayEq(lhs[i], rhs[i])) return false; } return true; } // Finds the first element in the iterator range [begin, end) that // equals elem. Element may be a native array type itself. template Iter ArrayAwareFind(Iter begin, Iter end, const Element& elem) { for (Iter it = begin; it != end; ++it) { if (internal::ArrayEq(*it, elem)) return it; } return end; } // CopyArray() copies a k-dimensional native array using the elements' // operator=, where k can be any integer >= 0. When k is 0, // CopyArray() degenerates into copying a single value. template void CopyArray(const T* from, size_t size, U* to); // This generic version is used when k is 0. template inline void CopyArray(const T& from, U* to) { *to = from; } // This overload is used when k >= 1. template inline void CopyArray(const T(&from)[N], U(*to)[N]) { internal::CopyArray(from, N, *to); } // This helper reduces code bloat. If we instead put its logic inside // the previous CopyArray() function, arrays with different sizes // would lead to different copies of the template code. template void CopyArray(const T* from, size_t size, U* to) { for (size_t i = 0; i != size; i++) { internal::CopyArray(from[i], to + i); } } // The relation between an NativeArray object (see below) and the // native array it represents. // We use 2 different structs to allow non-copyable types to be used, as long // as RelationToSourceReference() is passed. struct RelationToSourceReference {}; struct RelationToSourceCopy {}; // Adapts a native array to a read-only STL-style container. Instead // of the complete STL container concept, this adaptor only implements // members useful for Google Mock's container matchers. New members // should be added as needed. To simplify the implementation, we only // support Element being a raw type (i.e. having no top-level const or // reference modifier). It's the client's responsibility to satisfy // this requirement. Element can be an array type itself (hence // multi-dimensional arrays are supported). template class NativeArray { public: // STL-style container typedefs. typedef Element value_type; typedef Element* iterator; typedef const Element* const_iterator; // Constructs from a native array. References the source. NativeArray(const Element* array, size_t count, RelationToSourceReference) { InitRef(array, count); } // Constructs from a native array. Copies the source. NativeArray(const Element* array, size_t count, RelationToSourceCopy) { InitCopy(array, count); } // Copy constructor. NativeArray(const NativeArray& rhs) { (this->*rhs.clone_)(rhs.array_, rhs.size_); } ~NativeArray() { if (clone_ != &NativeArray::InitRef) delete[] array_; } // STL-style container methods. size_t size() const { return size_; } const_iterator begin() const { return array_; } const_iterator end() const { return array_ + size_; } bool operator==(const NativeArray& rhs) const { return size() == rhs.size() && ArrayEq(begin(), size(), rhs.begin()); } private: enum { kCheckTypeIsNotConstOrAReference = StaticAssertTypeEqHelper< Element, GTEST_REMOVE_REFERENCE_AND_CONST_(Element)>::value, }; // Initializes this object with a copy of the input. void InitCopy(const Element* array, size_t a_size) { Element* const copy = new Element[a_size]; CopyArray(array, a_size, copy); array_ = copy; size_ = a_size; clone_ = &NativeArray::InitCopy; } // Initializes this object with a reference of the input. void InitRef(const Element* array, size_t a_size) { array_ = array; size_ = a_size; clone_ = &NativeArray::InitRef; } const Element* array_; size_t size_; void (NativeArray::*clone_)(const Element*, size_t); GTEST_DISALLOW_ASSIGN_(NativeArray); }; } // namespace internal } // namespace testing #define GTEST_MESSAGE_AT_(file, line, message, result_type) \ ::testing::internal::AssertHelper(result_type, file, line, message) \ = ::testing::Message() #define GTEST_MESSAGE_(message, result_type) \ GTEST_MESSAGE_AT_(__FILE__, __LINE__, message, result_type) #define GTEST_FATAL_FAILURE_(message) \ return GTEST_MESSAGE_(message, ::testing::TestPartResult::kFatalFailure) #define GTEST_NONFATAL_FAILURE_(message) \ GTEST_MESSAGE_(message, ::testing::TestPartResult::kNonFatalFailure) #define GTEST_SUCCESS_(message) \ GTEST_MESSAGE_(message, ::testing::TestPartResult::kSuccess) // Suppresses MSVC warnings 4072 (unreachable code) for the code following // statement if it returns or throws (or doesn't return or throw in some // situations). #define GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement) \ if (::testing::internal::AlwaysTrue()) { statement; } #define GTEST_TEST_THROW_(statement, expected_exception, fail) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (::testing::internal::ConstCharPtr gtest_msg = "") { \ bool gtest_caught_expected = false; \ try { \ GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement); \ } \ catch (expected_exception const&) { \ gtest_caught_expected = true; \ } \ catch (...) { \ gtest_msg.value = \ "Expected: " #statement " throws an exception of type " \ #expected_exception ".\n Actual: it throws a different type."; \ goto GTEST_CONCAT_TOKEN_(gtest_label_testthrow_, __LINE__); \ } \ if (!gtest_caught_expected) { \ gtest_msg.value = \ "Expected: " #statement " throws an exception of type " \ #expected_exception ".\n Actual: it throws nothing."; \ goto GTEST_CONCAT_TOKEN_(gtest_label_testthrow_, __LINE__); \ } \ } else \ GTEST_CONCAT_TOKEN_(gtest_label_testthrow_, __LINE__): \ fail(gtest_msg.value) #define GTEST_TEST_NO_THROW_(statement, fail) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (::testing::internal::AlwaysTrue()) { \ try { \ GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement); \ } \ catch (...) { \ goto GTEST_CONCAT_TOKEN_(gtest_label_testnothrow_, __LINE__); \ } \ } else \ GTEST_CONCAT_TOKEN_(gtest_label_testnothrow_, __LINE__): \ fail("Expected: " #statement " doesn't throw an exception.\n" \ " Actual: it throws.") #define GTEST_TEST_ANY_THROW_(statement, fail) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (::testing::internal::AlwaysTrue()) { \ bool gtest_caught_any = false; \ try { \ GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement); \ } \ catch (...) { \ gtest_caught_any = true; \ } \ if (!gtest_caught_any) { \ goto GTEST_CONCAT_TOKEN_(gtest_label_testanythrow_, __LINE__); \ } \ } else \ GTEST_CONCAT_TOKEN_(gtest_label_testanythrow_, __LINE__): \ fail("Expected: " #statement " throws an exception.\n" \ " Actual: it doesn't.") // Implements Boolean test assertions such as EXPECT_TRUE. expression can be // either a boolean expression or an AssertionResult. text is a textual // represenation of expression as it was passed into the EXPECT_TRUE. #define GTEST_TEST_BOOLEAN_(expression, text, actual, expected, fail) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (const ::testing::AssertionResult gtest_ar_ = \ ::testing::AssertionResult(expression)) \ ; \ else \ fail(::testing::internal::GetBoolAssertionFailureMessage(\ gtest_ar_, text, #actual, #expected).c_str()) #define GTEST_TEST_NO_FATAL_FAILURE_(statement, fail) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (::testing::internal::AlwaysTrue()) { \ ::testing::internal::HasNewFatalFailureHelper gtest_fatal_failure_checker; \ GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_(statement); \ if (gtest_fatal_failure_checker.has_new_fatal_failure()) { \ goto GTEST_CONCAT_TOKEN_(gtest_label_testnofatal_, __LINE__); \ } \ } else \ GTEST_CONCAT_TOKEN_(gtest_label_testnofatal_, __LINE__): \ fail("Expected: " #statement " doesn't generate new fatal " \ "failures in the current thread.\n" \ " Actual: it does.") // Expands to the name of the class that implements the given test. #define GTEST_TEST_CLASS_NAME_(test_case_name, test_name) \ test_case_name##_##test_name##_Test // Helper macro for defining tests. #define GTEST_TEST_(test_case_name, test_name, parent_class, parent_id)\ class GTEST_TEST_CLASS_NAME_(test_case_name, test_name) : public parent_class {\ public:\ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)() {}\ private:\ virtual void TestBody();\ static ::testing::TestInfo* const test_info_ GTEST_ATTRIBUTE_UNUSED_;\ GTEST_DISALLOW_COPY_AND_ASSIGN_(\ GTEST_TEST_CLASS_NAME_(test_case_name, test_name));\ };\ \ ::testing::TestInfo* const GTEST_TEST_CLASS_NAME_(test_case_name, test_name)\ ::test_info_ =\ ::testing::internal::MakeAndRegisterTestInfo(\ #test_case_name, #test_name, NULL, NULL, \ ::testing::internal::CodeLocation(__FILE__, __LINE__), \ (parent_id), \ parent_class::SetUpTestCase, \ parent_class::TearDownTestCase, \ new ::testing::internal::TestFactoryImpl<\ GTEST_TEST_CLASS_NAME_(test_case_name, test_name)>);\ void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::TestBody() #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_INTERNAL_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-linked_ptr.h0000644000175100017510000002035015112307767027433 0ustar00runnerrunner// Copyright 2003 Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Authors: Dan Egnor (egnor@google.com) // // A "smart" pointer type with reference tracking. Every pointer to a // particular object is kept on a circular linked list. When the last pointer // to an object is destroyed or reassigned, the object is deleted. // // Used properly, this deletes the object when the last reference goes away. // There are several caveats: // - Like all reference counting schemes, cycles lead to leaks. // - Each smart pointer is actually two pointers (8 bytes instead of 4). // - Every time a pointer is assigned, the entire list of pointers to that // object is traversed. This class is therefore NOT SUITABLE when there // will often be more than two or three pointers to a particular object. // - References are only tracked as long as linked_ptr<> objects are copied. // If a linked_ptr<> is converted to a raw pointer and back, BAD THINGS // will happen (double deletion). // // A good use of this class is storing object references in STL containers. // You can safely put linked_ptr<> in a vector<>. // Other uses may not be as good. // // Note: If you use an incomplete type with linked_ptr<>, the class // *containing* linked_ptr<> must have a constructor and destructor (even // if they do nothing!). // // Bill Gibbons suggested we use something like this. // // Thread Safety: // Unlike other linked_ptr implementations, in this implementation // a linked_ptr object is thread-safe in the sense that: // - it's safe to copy linked_ptr objects concurrently, // - it's safe to copy *from* a linked_ptr and read its underlying // raw pointer (e.g. via get()) concurrently, and // - it's safe to write to two linked_ptrs that point to the same // shared object concurrently. // TODO(wan@google.com): rename this to safe_linked_ptr to avoid // confusion with normal linked_ptr. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_LINKED_PTR_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_LINKED_PTR_H_ #include #include #include "gtest/internal/gtest-port.h" namespace testing { namespace internal { // Protects copying of all linked_ptr objects. GTEST_API_ GTEST_DECLARE_STATIC_MUTEX_(g_linked_ptr_mutex); // This is used internally by all instances of linked_ptr<>. It needs to be // a non-template class because different types of linked_ptr<> can refer to // the same object (linked_ptr(obj) vs linked_ptr(obj)). // So, it needs to be possible for different types of linked_ptr to participate // in the same circular linked list, so we need a single class type here. // // DO NOT USE THIS CLASS DIRECTLY YOURSELF. Use linked_ptr. class linked_ptr_internal { public: // Create a new circle that includes only this instance. void join_new() { next_ = this; } // Many linked_ptr operations may change p.link_ for some linked_ptr // variable p in the same circle as this object. Therefore we need // to prevent two such operations from occurring concurrently. // // Note that different types of linked_ptr objects can coexist in a // circle (e.g. linked_ptr, linked_ptr, and // linked_ptr). Therefore we must use a single mutex to // protect all linked_ptr objects. This can create serious // contention in production code, but is acceptable in a testing // framework. // Join an existing circle. void join(linked_ptr_internal const* ptr) GTEST_LOCK_EXCLUDED_(g_linked_ptr_mutex) { MutexLock lock(&g_linked_ptr_mutex); linked_ptr_internal const* p = ptr; while (p->next_ != ptr) { assert(p->next_ != this && "Trying to join() a linked ring we are already in. " "Is GMock thread safety enabled?"); p = p->next_; } p->next_ = this; next_ = ptr; } // Leave whatever circle we're part of. Returns true if we were the // last member of the circle. Once this is done, you can join() another. bool depart() GTEST_LOCK_EXCLUDED_(g_linked_ptr_mutex) { MutexLock lock(&g_linked_ptr_mutex); if (next_ == this) return true; linked_ptr_internal const* p = next_; while (p->next_ != this) { assert(p->next_ != next_ && "Trying to depart() a linked ring we are not in. " "Is GMock thread safety enabled?"); p = p->next_; } p->next_ = next_; return false; } private: mutable linked_ptr_internal const* next_; }; template class linked_ptr { public: typedef T element_type; // Take over ownership of a raw pointer. This should happen as soon as // possible after the object is created. explicit linked_ptr(T* ptr = NULL) { capture(ptr); } ~linked_ptr() { depart(); } // Copy an existing linked_ptr<>, adding ourselves to the list of references. template linked_ptr(linked_ptr const& ptr) { copy(&ptr); } linked_ptr(linked_ptr const& ptr) { // NOLINT assert(&ptr != this); copy(&ptr); } // Assignment releases the old value and acquires the new. template linked_ptr& operator=(linked_ptr const& ptr) { depart(); copy(&ptr); return *this; } linked_ptr& operator=(linked_ptr const& ptr) { if (&ptr != this) { depart(); copy(&ptr); } return *this; } // Smart pointer members. void reset(T* ptr = NULL) { depart(); capture(ptr); } T* get() const { return value_; } T* operator->() const { return value_; } T& operator*() const { return *value_; } bool operator==(T* p) const { return value_ == p; } bool operator!=(T* p) const { return value_ != p; } template bool operator==(linked_ptr const& ptr) const { return value_ == ptr.get(); } template bool operator!=(linked_ptr const& ptr) const { return value_ != ptr.get(); } private: template friend class linked_ptr; T* value_; linked_ptr_internal link_; void depart() { if (link_.depart()) delete value_; } void capture(T* ptr) { value_ = ptr; link_.join_new(); } template void copy(linked_ptr const* ptr) { value_ = ptr->get(); if (value_) link_.join(&ptr->link_); else link_.join_new(); } }; template inline bool operator==(T* ptr, const linked_ptr& x) { return ptr == x.get(); } template inline bool operator!=(T* ptr, const linked_ptr& x) { return ptr != x.get(); } // A function to convert T* into linked_ptr // Doing e.g. make_linked_ptr(new FooBarBaz(arg)) is a shorter notation // for linked_ptr >(new FooBarBaz(arg)) template linked_ptr make_linked_ptr(T* ptr) { return linked_ptr(ptr); } } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_LINKED_PTR_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-param-util-generated.h0000644000175100017510000056726115112307767031330 0ustar00runnerrunner// This file was GENERATED by command: // pump.py gtest-param-util-generated.h.pump // DO NOT EDIT BY HAND!!! // Copyright 2008 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: vladl@google.com (Vlad Losev) // Type and function utilities for implementing parameterized tests. // This file is generated by a SCRIPT. DO NOT EDIT BY HAND! // // Currently Google Test supports at most 50 arguments in Values, // and at most 10 arguments in Combine. Please contact // googletestframework@googlegroups.com if you need more. // Please note that the number of arguments to Combine is limited // by the maximum arity of the implementation of tuple which is // currently set at 10. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_GENERATED_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_GENERATED_H_ // scripts/fuse_gtest.py depends on gtest's own header being #included // *unconditionally*. Therefore these #includes cannot be moved // inside #if GTEST_HAS_PARAM_TEST. #include "gtest/internal/gtest-param-util.h" #include "gtest/internal/gtest-port.h" #if GTEST_HAS_PARAM_TEST namespace testing { // Forward declarations of ValuesIn(), which is implemented in // include/gtest/gtest-param-test.h. template internal::ParamGenerator< typename ::testing::internal::IteratorTraits::value_type> ValuesIn(ForwardIterator begin, ForwardIterator end); template internal::ParamGenerator ValuesIn(const T (&array)[N]); template internal::ParamGenerator ValuesIn( const Container& container); namespace internal { // Used in the Values() function to provide polymorphic capabilities. template class ValueArray1 { public: explicit ValueArray1(T1 v1) : v1_(v1) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray1& other); const T1 v1_; }; template class ValueArray2 { public: ValueArray2(T1 v1, T2 v2) : v1_(v1), v2_(v2) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray2& other); const T1 v1_; const T2 v2_; }; template class ValueArray3 { public: ValueArray3(T1 v1, T2 v2, T3 v3) : v1_(v1), v2_(v2), v3_(v3) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray3& other); const T1 v1_; const T2 v2_; const T3 v3_; }; template class ValueArray4 { public: ValueArray4(T1 v1, T2 v2, T3 v3, T4 v4) : v1_(v1), v2_(v2), v3_(v3), v4_(v4) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray4& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; }; template class ValueArray5 { public: ValueArray5(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray5& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; }; template class ValueArray6 { public: ValueArray6(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray6& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; }; template class ValueArray7 { public: ValueArray7(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray7& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; }; template class ValueArray8 { public: ValueArray8(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray8& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; }; template class ValueArray9 { public: ValueArray9(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray9& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; }; template class ValueArray10 { public: ValueArray10(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray10& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; }; template class ValueArray11 { public: ValueArray11(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray11& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; }; template class ValueArray12 { public: ValueArray12(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray12& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; }; template class ValueArray13 { public: ValueArray13(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray13& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; }; template class ValueArray14 { public: ValueArray14(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray14& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; }; template class ValueArray15 { public: ValueArray15(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray15& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; }; template class ValueArray16 { public: ValueArray16(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray16& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; }; template class ValueArray17 { public: ValueArray17(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray17& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; }; template class ValueArray18 { public: ValueArray18(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray18& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; }; template class ValueArray19 { public: ValueArray19(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray19& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; }; template class ValueArray20 { public: ValueArray20(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray20& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; }; template class ValueArray21 { public: ValueArray21(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray21& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; }; template class ValueArray22 { public: ValueArray22(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray22& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; }; template class ValueArray23 { public: ValueArray23(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray23& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; }; template class ValueArray24 { public: ValueArray24(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray24& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; }; template class ValueArray25 { public: ValueArray25(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray25& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; }; template class ValueArray26 { public: ValueArray26(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray26& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; }; template class ValueArray27 { public: ValueArray27(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray27& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; }; template class ValueArray28 { public: ValueArray28(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray28& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; }; template class ValueArray29 { public: ValueArray29(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray29& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; }; template class ValueArray30 { public: ValueArray30(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray30& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; }; template class ValueArray31 { public: ValueArray31(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray31& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; }; template class ValueArray32 { public: ValueArray32(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray32& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; }; template class ValueArray33 { public: ValueArray33(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray33& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; }; template class ValueArray34 { public: ValueArray34(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray34& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; }; template class ValueArray35 { public: ValueArray35(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray35& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; }; template class ValueArray36 { public: ValueArray36(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray36& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; }; template class ValueArray37 { public: ValueArray37(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray37& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; }; template class ValueArray38 { public: ValueArray38(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray38& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; }; template class ValueArray39 { public: ValueArray39(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray39& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; }; template class ValueArray40 { public: ValueArray40(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray40& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; }; template class ValueArray41 { public: ValueArray41(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray41& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; }; template class ValueArray42 { public: ValueArray42(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray42& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; }; template class ValueArray43 { public: ValueArray43(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42), v43_(v43) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_), static_cast(v43_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray43& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; const T43 v43_; }; template class ValueArray44 { public: ValueArray44(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42), v43_(v43), v44_(v44) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_), static_cast(v43_), static_cast(v44_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray44& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; const T43 v43_; const T44 v44_; }; template class ValueArray45 { public: ValueArray45(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42), v43_(v43), v44_(v44), v45_(v45) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_), static_cast(v43_), static_cast(v44_), static_cast(v45_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray45& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; const T43 v43_; const T44 v44_; const T45 v45_; }; template class ValueArray46 { public: ValueArray46(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42), v43_(v43), v44_(v44), v45_(v45), v46_(v46) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_), static_cast(v43_), static_cast(v44_), static_cast(v45_), static_cast(v46_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray46& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; const T43 v43_; const T44 v44_; const T45 v45_; const T46 v46_; }; template class ValueArray47 { public: ValueArray47(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46, T47 v47) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42), v43_(v43), v44_(v44), v45_(v45), v46_(v46), v47_(v47) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_), static_cast(v43_), static_cast(v44_), static_cast(v45_), static_cast(v46_), static_cast(v47_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray47& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; const T43 v43_; const T44 v44_; const T45 v45_; const T46 v46_; const T47 v47_; }; template class ValueArray48 { public: ValueArray48(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46, T47 v47, T48 v48) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42), v43_(v43), v44_(v44), v45_(v45), v46_(v46), v47_(v47), v48_(v48) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_), static_cast(v43_), static_cast(v44_), static_cast(v45_), static_cast(v46_), static_cast(v47_), static_cast(v48_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray48& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; const T43 v43_; const T44 v44_; const T45 v45_; const T46 v46_; const T47 v47_; const T48 v48_; }; template class ValueArray49 { public: ValueArray49(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46, T47 v47, T48 v48, T49 v49) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42), v43_(v43), v44_(v44), v45_(v45), v46_(v46), v47_(v47), v48_(v48), v49_(v49) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_), static_cast(v43_), static_cast(v44_), static_cast(v45_), static_cast(v46_), static_cast(v47_), static_cast(v48_), static_cast(v49_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray49& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; const T43 v43_; const T44 v44_; const T45 v45_; const T46 v46_; const T47 v47_; const T48 v48_; const T49 v49_; }; template class ValueArray50 { public: ValueArray50(T1 v1, T2 v2, T3 v3, T4 v4, T5 v5, T6 v6, T7 v7, T8 v8, T9 v9, T10 v10, T11 v11, T12 v12, T13 v13, T14 v14, T15 v15, T16 v16, T17 v17, T18 v18, T19 v19, T20 v20, T21 v21, T22 v22, T23 v23, T24 v24, T25 v25, T26 v26, T27 v27, T28 v28, T29 v29, T30 v30, T31 v31, T32 v32, T33 v33, T34 v34, T35 v35, T36 v36, T37 v37, T38 v38, T39 v39, T40 v40, T41 v41, T42 v42, T43 v43, T44 v44, T45 v45, T46 v46, T47 v47, T48 v48, T49 v49, T50 v50) : v1_(v1), v2_(v2), v3_(v3), v4_(v4), v5_(v5), v6_(v6), v7_(v7), v8_(v8), v9_(v9), v10_(v10), v11_(v11), v12_(v12), v13_(v13), v14_(v14), v15_(v15), v16_(v16), v17_(v17), v18_(v18), v19_(v19), v20_(v20), v21_(v21), v22_(v22), v23_(v23), v24_(v24), v25_(v25), v26_(v26), v27_(v27), v28_(v28), v29_(v29), v30_(v30), v31_(v31), v32_(v32), v33_(v33), v34_(v34), v35_(v35), v36_(v36), v37_(v37), v38_(v38), v39_(v39), v40_(v40), v41_(v41), v42_(v42), v43_(v43), v44_(v44), v45_(v45), v46_(v46), v47_(v47), v48_(v48), v49_(v49), v50_(v50) {} template operator ParamGenerator() const { const T array[] = {static_cast(v1_), static_cast(v2_), static_cast(v3_), static_cast(v4_), static_cast(v5_), static_cast(v6_), static_cast(v7_), static_cast(v8_), static_cast(v9_), static_cast(v10_), static_cast(v11_), static_cast(v12_), static_cast(v13_), static_cast(v14_), static_cast(v15_), static_cast(v16_), static_cast(v17_), static_cast(v18_), static_cast(v19_), static_cast(v20_), static_cast(v21_), static_cast(v22_), static_cast(v23_), static_cast(v24_), static_cast(v25_), static_cast(v26_), static_cast(v27_), static_cast(v28_), static_cast(v29_), static_cast(v30_), static_cast(v31_), static_cast(v32_), static_cast(v33_), static_cast(v34_), static_cast(v35_), static_cast(v36_), static_cast(v37_), static_cast(v38_), static_cast(v39_), static_cast(v40_), static_cast(v41_), static_cast(v42_), static_cast(v43_), static_cast(v44_), static_cast(v45_), static_cast(v46_), static_cast(v47_), static_cast(v48_), static_cast(v49_), static_cast(v50_)}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray50& other); const T1 v1_; const T2 v2_; const T3 v3_; const T4 v4_; const T5 v5_; const T6 v6_; const T7 v7_; const T8 v8_; const T9 v9_; const T10 v10_; const T11 v11_; const T12 v12_; const T13 v13_; const T14 v14_; const T15 v15_; const T16 v16_; const T17 v17_; const T18 v18_; const T19 v19_; const T20 v20_; const T21 v21_; const T22 v22_; const T23 v23_; const T24 v24_; const T25 v25_; const T26 v26_; const T27 v27_; const T28 v28_; const T29 v29_; const T30 v30_; const T31 v31_; const T32 v32_; const T33 v33_; const T34 v34_; const T35 v35_; const T36 v36_; const T37 v37_; const T38 v38_; const T39 v39_; const T40 v40_; const T41 v41_; const T42 v42_; const T43 v43_; const T44 v44_; const T45 v45_; const T46 v46_; const T47 v47_; const T48 v48_; const T49 v49_; const T50 v50_; }; # if GTEST_HAS_COMBINE // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Generates values from the Cartesian product of values produced // by the argument generators. // template class CartesianProductGenerator2 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator2(const ParamGenerator& g1, const ParamGenerator& g2) : g1_(g1), g2_(g2) {} virtual ~CartesianProductGenerator2() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current2_; if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; ParamType current_value_; }; // class CartesianProductGenerator2::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator2& other); const ParamGenerator g1_; const ParamGenerator g2_; }; // class CartesianProductGenerator2 template class CartesianProductGenerator3 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator3(const ParamGenerator& g1, const ParamGenerator& g2, const ParamGenerator& g3) : g1_(g1), g2_(g2), g3_(g3) {} virtual ~CartesianProductGenerator3() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_, g3_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end(), g3_, g3_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2, const ParamGenerator& g3, const typename ParamGenerator::iterator& current3) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2), begin3_(g3.begin()), end3_(g3.end()), current3_(current3) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current3_; if (current3_ == end3_) { current3_ = begin3_; ++current2_; } if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_ && current3_ == typed_other->current3_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_), begin3_(other.begin3_), end3_(other.end3_), current3_(other.current3_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_, *current3_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_ || current3_ == end3_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; const typename ParamGenerator::iterator begin3_; const typename ParamGenerator::iterator end3_; typename ParamGenerator::iterator current3_; ParamType current_value_; }; // class CartesianProductGenerator3::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator3& other); const ParamGenerator g1_; const ParamGenerator g2_; const ParamGenerator g3_; }; // class CartesianProductGenerator3 template class CartesianProductGenerator4 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator4(const ParamGenerator& g1, const ParamGenerator& g2, const ParamGenerator& g3, const ParamGenerator& g4) : g1_(g1), g2_(g2), g3_(g3), g4_(g4) {} virtual ~CartesianProductGenerator4() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_, g3_.begin(), g4_, g4_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end(), g3_, g3_.end(), g4_, g4_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2, const ParamGenerator& g3, const typename ParamGenerator::iterator& current3, const ParamGenerator& g4, const typename ParamGenerator::iterator& current4) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2), begin3_(g3.begin()), end3_(g3.end()), current3_(current3), begin4_(g4.begin()), end4_(g4.end()), current4_(current4) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current4_; if (current4_ == end4_) { current4_ = begin4_; ++current3_; } if (current3_ == end3_) { current3_ = begin3_; ++current2_; } if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_ && current3_ == typed_other->current3_ && current4_ == typed_other->current4_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_), begin3_(other.begin3_), end3_(other.end3_), current3_(other.current3_), begin4_(other.begin4_), end4_(other.end4_), current4_(other.current4_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_, *current3_, *current4_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_ || current3_ == end3_ || current4_ == end4_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; const typename ParamGenerator::iterator begin3_; const typename ParamGenerator::iterator end3_; typename ParamGenerator::iterator current3_; const typename ParamGenerator::iterator begin4_; const typename ParamGenerator::iterator end4_; typename ParamGenerator::iterator current4_; ParamType current_value_; }; // class CartesianProductGenerator4::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator4& other); const ParamGenerator g1_; const ParamGenerator g2_; const ParamGenerator g3_; const ParamGenerator g4_; }; // class CartesianProductGenerator4 template class CartesianProductGenerator5 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator5(const ParamGenerator& g1, const ParamGenerator& g2, const ParamGenerator& g3, const ParamGenerator& g4, const ParamGenerator& g5) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5) {} virtual ~CartesianProductGenerator5() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_, g3_.begin(), g4_, g4_.begin(), g5_, g5_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end(), g3_, g3_.end(), g4_, g4_.end(), g5_, g5_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2, const ParamGenerator& g3, const typename ParamGenerator::iterator& current3, const ParamGenerator& g4, const typename ParamGenerator::iterator& current4, const ParamGenerator& g5, const typename ParamGenerator::iterator& current5) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2), begin3_(g3.begin()), end3_(g3.end()), current3_(current3), begin4_(g4.begin()), end4_(g4.end()), current4_(current4), begin5_(g5.begin()), end5_(g5.end()), current5_(current5) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current5_; if (current5_ == end5_) { current5_ = begin5_; ++current4_; } if (current4_ == end4_) { current4_ = begin4_; ++current3_; } if (current3_ == end3_) { current3_ = begin3_; ++current2_; } if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_ && current3_ == typed_other->current3_ && current4_ == typed_other->current4_ && current5_ == typed_other->current5_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_), begin3_(other.begin3_), end3_(other.end3_), current3_(other.current3_), begin4_(other.begin4_), end4_(other.end4_), current4_(other.current4_), begin5_(other.begin5_), end5_(other.end5_), current5_(other.current5_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_, *current3_, *current4_, *current5_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_ || current3_ == end3_ || current4_ == end4_ || current5_ == end5_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; const typename ParamGenerator::iterator begin3_; const typename ParamGenerator::iterator end3_; typename ParamGenerator::iterator current3_; const typename ParamGenerator::iterator begin4_; const typename ParamGenerator::iterator end4_; typename ParamGenerator::iterator current4_; const typename ParamGenerator::iterator begin5_; const typename ParamGenerator::iterator end5_; typename ParamGenerator::iterator current5_; ParamType current_value_; }; // class CartesianProductGenerator5::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator5& other); const ParamGenerator g1_; const ParamGenerator g2_; const ParamGenerator g3_; const ParamGenerator g4_; const ParamGenerator g5_; }; // class CartesianProductGenerator5 template class CartesianProductGenerator6 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator6(const ParamGenerator& g1, const ParamGenerator& g2, const ParamGenerator& g3, const ParamGenerator& g4, const ParamGenerator& g5, const ParamGenerator& g6) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6) {} virtual ~CartesianProductGenerator6() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_, g3_.begin(), g4_, g4_.begin(), g5_, g5_.begin(), g6_, g6_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end(), g3_, g3_.end(), g4_, g4_.end(), g5_, g5_.end(), g6_, g6_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2, const ParamGenerator& g3, const typename ParamGenerator::iterator& current3, const ParamGenerator& g4, const typename ParamGenerator::iterator& current4, const ParamGenerator& g5, const typename ParamGenerator::iterator& current5, const ParamGenerator& g6, const typename ParamGenerator::iterator& current6) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2), begin3_(g3.begin()), end3_(g3.end()), current3_(current3), begin4_(g4.begin()), end4_(g4.end()), current4_(current4), begin5_(g5.begin()), end5_(g5.end()), current5_(current5), begin6_(g6.begin()), end6_(g6.end()), current6_(current6) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current6_; if (current6_ == end6_) { current6_ = begin6_; ++current5_; } if (current5_ == end5_) { current5_ = begin5_; ++current4_; } if (current4_ == end4_) { current4_ = begin4_; ++current3_; } if (current3_ == end3_) { current3_ = begin3_; ++current2_; } if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_ && current3_ == typed_other->current3_ && current4_ == typed_other->current4_ && current5_ == typed_other->current5_ && current6_ == typed_other->current6_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_), begin3_(other.begin3_), end3_(other.end3_), current3_(other.current3_), begin4_(other.begin4_), end4_(other.end4_), current4_(other.current4_), begin5_(other.begin5_), end5_(other.end5_), current5_(other.current5_), begin6_(other.begin6_), end6_(other.end6_), current6_(other.current6_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_, *current3_, *current4_, *current5_, *current6_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_ || current3_ == end3_ || current4_ == end4_ || current5_ == end5_ || current6_ == end6_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; const typename ParamGenerator::iterator begin3_; const typename ParamGenerator::iterator end3_; typename ParamGenerator::iterator current3_; const typename ParamGenerator::iterator begin4_; const typename ParamGenerator::iterator end4_; typename ParamGenerator::iterator current4_; const typename ParamGenerator::iterator begin5_; const typename ParamGenerator::iterator end5_; typename ParamGenerator::iterator current5_; const typename ParamGenerator::iterator begin6_; const typename ParamGenerator::iterator end6_; typename ParamGenerator::iterator current6_; ParamType current_value_; }; // class CartesianProductGenerator6::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator6& other); const ParamGenerator g1_; const ParamGenerator g2_; const ParamGenerator g3_; const ParamGenerator g4_; const ParamGenerator g5_; const ParamGenerator g6_; }; // class CartesianProductGenerator6 template class CartesianProductGenerator7 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator7(const ParamGenerator& g1, const ParamGenerator& g2, const ParamGenerator& g3, const ParamGenerator& g4, const ParamGenerator& g5, const ParamGenerator& g6, const ParamGenerator& g7) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6), g7_(g7) {} virtual ~CartesianProductGenerator7() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_, g3_.begin(), g4_, g4_.begin(), g5_, g5_.begin(), g6_, g6_.begin(), g7_, g7_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end(), g3_, g3_.end(), g4_, g4_.end(), g5_, g5_.end(), g6_, g6_.end(), g7_, g7_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2, const ParamGenerator& g3, const typename ParamGenerator::iterator& current3, const ParamGenerator& g4, const typename ParamGenerator::iterator& current4, const ParamGenerator& g5, const typename ParamGenerator::iterator& current5, const ParamGenerator& g6, const typename ParamGenerator::iterator& current6, const ParamGenerator& g7, const typename ParamGenerator::iterator& current7) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2), begin3_(g3.begin()), end3_(g3.end()), current3_(current3), begin4_(g4.begin()), end4_(g4.end()), current4_(current4), begin5_(g5.begin()), end5_(g5.end()), current5_(current5), begin6_(g6.begin()), end6_(g6.end()), current6_(current6), begin7_(g7.begin()), end7_(g7.end()), current7_(current7) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current7_; if (current7_ == end7_) { current7_ = begin7_; ++current6_; } if (current6_ == end6_) { current6_ = begin6_; ++current5_; } if (current5_ == end5_) { current5_ = begin5_; ++current4_; } if (current4_ == end4_) { current4_ = begin4_; ++current3_; } if (current3_ == end3_) { current3_ = begin3_; ++current2_; } if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_ && current3_ == typed_other->current3_ && current4_ == typed_other->current4_ && current5_ == typed_other->current5_ && current6_ == typed_other->current6_ && current7_ == typed_other->current7_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_), begin3_(other.begin3_), end3_(other.end3_), current3_(other.current3_), begin4_(other.begin4_), end4_(other.end4_), current4_(other.current4_), begin5_(other.begin5_), end5_(other.end5_), current5_(other.current5_), begin6_(other.begin6_), end6_(other.end6_), current6_(other.current6_), begin7_(other.begin7_), end7_(other.end7_), current7_(other.current7_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_, *current3_, *current4_, *current5_, *current6_, *current7_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_ || current3_ == end3_ || current4_ == end4_ || current5_ == end5_ || current6_ == end6_ || current7_ == end7_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; const typename ParamGenerator::iterator begin3_; const typename ParamGenerator::iterator end3_; typename ParamGenerator::iterator current3_; const typename ParamGenerator::iterator begin4_; const typename ParamGenerator::iterator end4_; typename ParamGenerator::iterator current4_; const typename ParamGenerator::iterator begin5_; const typename ParamGenerator::iterator end5_; typename ParamGenerator::iterator current5_; const typename ParamGenerator::iterator begin6_; const typename ParamGenerator::iterator end6_; typename ParamGenerator::iterator current6_; const typename ParamGenerator::iterator begin7_; const typename ParamGenerator::iterator end7_; typename ParamGenerator::iterator current7_; ParamType current_value_; }; // class CartesianProductGenerator7::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator7& other); const ParamGenerator g1_; const ParamGenerator g2_; const ParamGenerator g3_; const ParamGenerator g4_; const ParamGenerator g5_; const ParamGenerator g6_; const ParamGenerator g7_; }; // class CartesianProductGenerator7 template class CartesianProductGenerator8 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator8(const ParamGenerator& g1, const ParamGenerator& g2, const ParamGenerator& g3, const ParamGenerator& g4, const ParamGenerator& g5, const ParamGenerator& g6, const ParamGenerator& g7, const ParamGenerator& g8) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6), g7_(g7), g8_(g8) {} virtual ~CartesianProductGenerator8() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_, g3_.begin(), g4_, g4_.begin(), g5_, g5_.begin(), g6_, g6_.begin(), g7_, g7_.begin(), g8_, g8_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end(), g3_, g3_.end(), g4_, g4_.end(), g5_, g5_.end(), g6_, g6_.end(), g7_, g7_.end(), g8_, g8_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2, const ParamGenerator& g3, const typename ParamGenerator::iterator& current3, const ParamGenerator& g4, const typename ParamGenerator::iterator& current4, const ParamGenerator& g5, const typename ParamGenerator::iterator& current5, const ParamGenerator& g6, const typename ParamGenerator::iterator& current6, const ParamGenerator& g7, const typename ParamGenerator::iterator& current7, const ParamGenerator& g8, const typename ParamGenerator::iterator& current8) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2), begin3_(g3.begin()), end3_(g3.end()), current3_(current3), begin4_(g4.begin()), end4_(g4.end()), current4_(current4), begin5_(g5.begin()), end5_(g5.end()), current5_(current5), begin6_(g6.begin()), end6_(g6.end()), current6_(current6), begin7_(g7.begin()), end7_(g7.end()), current7_(current7), begin8_(g8.begin()), end8_(g8.end()), current8_(current8) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current8_; if (current8_ == end8_) { current8_ = begin8_; ++current7_; } if (current7_ == end7_) { current7_ = begin7_; ++current6_; } if (current6_ == end6_) { current6_ = begin6_; ++current5_; } if (current5_ == end5_) { current5_ = begin5_; ++current4_; } if (current4_ == end4_) { current4_ = begin4_; ++current3_; } if (current3_ == end3_) { current3_ = begin3_; ++current2_; } if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_ && current3_ == typed_other->current3_ && current4_ == typed_other->current4_ && current5_ == typed_other->current5_ && current6_ == typed_other->current6_ && current7_ == typed_other->current7_ && current8_ == typed_other->current8_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_), begin3_(other.begin3_), end3_(other.end3_), current3_(other.current3_), begin4_(other.begin4_), end4_(other.end4_), current4_(other.current4_), begin5_(other.begin5_), end5_(other.end5_), current5_(other.current5_), begin6_(other.begin6_), end6_(other.end6_), current6_(other.current6_), begin7_(other.begin7_), end7_(other.end7_), current7_(other.current7_), begin8_(other.begin8_), end8_(other.end8_), current8_(other.current8_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_, *current3_, *current4_, *current5_, *current6_, *current7_, *current8_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_ || current3_ == end3_ || current4_ == end4_ || current5_ == end5_ || current6_ == end6_ || current7_ == end7_ || current8_ == end8_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; const typename ParamGenerator::iterator begin3_; const typename ParamGenerator::iterator end3_; typename ParamGenerator::iterator current3_; const typename ParamGenerator::iterator begin4_; const typename ParamGenerator::iterator end4_; typename ParamGenerator::iterator current4_; const typename ParamGenerator::iterator begin5_; const typename ParamGenerator::iterator end5_; typename ParamGenerator::iterator current5_; const typename ParamGenerator::iterator begin6_; const typename ParamGenerator::iterator end6_; typename ParamGenerator::iterator current6_; const typename ParamGenerator::iterator begin7_; const typename ParamGenerator::iterator end7_; typename ParamGenerator::iterator current7_; const typename ParamGenerator::iterator begin8_; const typename ParamGenerator::iterator end8_; typename ParamGenerator::iterator current8_; ParamType current_value_; }; // class CartesianProductGenerator8::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator8& other); const ParamGenerator g1_; const ParamGenerator g2_; const ParamGenerator g3_; const ParamGenerator g4_; const ParamGenerator g5_; const ParamGenerator g6_; const ParamGenerator g7_; const ParamGenerator g8_; }; // class CartesianProductGenerator8 template class CartesianProductGenerator9 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator9(const ParamGenerator& g1, const ParamGenerator& g2, const ParamGenerator& g3, const ParamGenerator& g4, const ParamGenerator& g5, const ParamGenerator& g6, const ParamGenerator& g7, const ParamGenerator& g8, const ParamGenerator& g9) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6), g7_(g7), g8_(g8), g9_(g9) {} virtual ~CartesianProductGenerator9() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_, g3_.begin(), g4_, g4_.begin(), g5_, g5_.begin(), g6_, g6_.begin(), g7_, g7_.begin(), g8_, g8_.begin(), g9_, g9_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end(), g3_, g3_.end(), g4_, g4_.end(), g5_, g5_.end(), g6_, g6_.end(), g7_, g7_.end(), g8_, g8_.end(), g9_, g9_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2, const ParamGenerator& g3, const typename ParamGenerator::iterator& current3, const ParamGenerator& g4, const typename ParamGenerator::iterator& current4, const ParamGenerator& g5, const typename ParamGenerator::iterator& current5, const ParamGenerator& g6, const typename ParamGenerator::iterator& current6, const ParamGenerator& g7, const typename ParamGenerator::iterator& current7, const ParamGenerator& g8, const typename ParamGenerator::iterator& current8, const ParamGenerator& g9, const typename ParamGenerator::iterator& current9) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2), begin3_(g3.begin()), end3_(g3.end()), current3_(current3), begin4_(g4.begin()), end4_(g4.end()), current4_(current4), begin5_(g5.begin()), end5_(g5.end()), current5_(current5), begin6_(g6.begin()), end6_(g6.end()), current6_(current6), begin7_(g7.begin()), end7_(g7.end()), current7_(current7), begin8_(g8.begin()), end8_(g8.end()), current8_(current8), begin9_(g9.begin()), end9_(g9.end()), current9_(current9) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current9_; if (current9_ == end9_) { current9_ = begin9_; ++current8_; } if (current8_ == end8_) { current8_ = begin8_; ++current7_; } if (current7_ == end7_) { current7_ = begin7_; ++current6_; } if (current6_ == end6_) { current6_ = begin6_; ++current5_; } if (current5_ == end5_) { current5_ = begin5_; ++current4_; } if (current4_ == end4_) { current4_ = begin4_; ++current3_; } if (current3_ == end3_) { current3_ = begin3_; ++current2_; } if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_ && current3_ == typed_other->current3_ && current4_ == typed_other->current4_ && current5_ == typed_other->current5_ && current6_ == typed_other->current6_ && current7_ == typed_other->current7_ && current8_ == typed_other->current8_ && current9_ == typed_other->current9_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_), begin3_(other.begin3_), end3_(other.end3_), current3_(other.current3_), begin4_(other.begin4_), end4_(other.end4_), current4_(other.current4_), begin5_(other.begin5_), end5_(other.end5_), current5_(other.current5_), begin6_(other.begin6_), end6_(other.end6_), current6_(other.current6_), begin7_(other.begin7_), end7_(other.end7_), current7_(other.current7_), begin8_(other.begin8_), end8_(other.end8_), current8_(other.current8_), begin9_(other.begin9_), end9_(other.end9_), current9_(other.current9_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_, *current3_, *current4_, *current5_, *current6_, *current7_, *current8_, *current9_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_ || current3_ == end3_ || current4_ == end4_ || current5_ == end5_ || current6_ == end6_ || current7_ == end7_ || current8_ == end8_ || current9_ == end9_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; const typename ParamGenerator::iterator begin3_; const typename ParamGenerator::iterator end3_; typename ParamGenerator::iterator current3_; const typename ParamGenerator::iterator begin4_; const typename ParamGenerator::iterator end4_; typename ParamGenerator::iterator current4_; const typename ParamGenerator::iterator begin5_; const typename ParamGenerator::iterator end5_; typename ParamGenerator::iterator current5_; const typename ParamGenerator::iterator begin6_; const typename ParamGenerator::iterator end6_; typename ParamGenerator::iterator current6_; const typename ParamGenerator::iterator begin7_; const typename ParamGenerator::iterator end7_; typename ParamGenerator::iterator current7_; const typename ParamGenerator::iterator begin8_; const typename ParamGenerator::iterator end8_; typename ParamGenerator::iterator current8_; const typename ParamGenerator::iterator begin9_; const typename ParamGenerator::iterator end9_; typename ParamGenerator::iterator current9_; ParamType current_value_; }; // class CartesianProductGenerator9::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator9& other); const ParamGenerator g1_; const ParamGenerator g2_; const ParamGenerator g3_; const ParamGenerator g4_; const ParamGenerator g5_; const ParamGenerator g6_; const ParamGenerator g7_; const ParamGenerator g8_; const ParamGenerator g9_; }; // class CartesianProductGenerator9 template class CartesianProductGenerator10 : public ParamGeneratorInterface< ::testing::tuple > { public: typedef ::testing::tuple ParamType; CartesianProductGenerator10(const ParamGenerator& g1, const ParamGenerator& g2, const ParamGenerator& g3, const ParamGenerator& g4, const ParamGenerator& g5, const ParamGenerator& g6, const ParamGenerator& g7, const ParamGenerator& g8, const ParamGenerator& g9, const ParamGenerator& g10) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6), g7_(g7), g8_(g8), g9_(g9), g10_(g10) {} virtual ~CartesianProductGenerator10() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_, g3_.begin(), g4_, g4_.begin(), g5_, g5_.begin(), g6_, g6_.begin(), g7_, g7_.begin(), g8_, g8_.begin(), g9_, g9_.begin(), g10_, g10_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, g1_, g1_.end(), g2_, g2_.end(), g3_, g3_.end(), g4_, g4_.end(), g5_, g5_.end(), g6_, g6_.end(), g7_, g7_.end(), g8_, g8_.end(), g9_, g9_.end(), g10_, g10_.end()); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, const ParamGenerator& g1, const typename ParamGenerator::iterator& current1, const ParamGenerator& g2, const typename ParamGenerator::iterator& current2, const ParamGenerator& g3, const typename ParamGenerator::iterator& current3, const ParamGenerator& g4, const typename ParamGenerator::iterator& current4, const ParamGenerator& g5, const typename ParamGenerator::iterator& current5, const ParamGenerator& g6, const typename ParamGenerator::iterator& current6, const ParamGenerator& g7, const typename ParamGenerator::iterator& current7, const ParamGenerator& g8, const typename ParamGenerator::iterator& current8, const ParamGenerator& g9, const typename ParamGenerator::iterator& current9, const ParamGenerator& g10, const typename ParamGenerator::iterator& current10) : base_(base), begin1_(g1.begin()), end1_(g1.end()), current1_(current1), begin2_(g2.begin()), end2_(g2.end()), current2_(current2), begin3_(g3.begin()), end3_(g3.end()), current3_(current3), begin4_(g4.begin()), end4_(g4.end()), current4_(current4), begin5_(g5.begin()), end5_(g5.end()), current5_(current5), begin6_(g6.begin()), end6_(g6.end()), current6_(current6), begin7_(g7.begin()), end7_(g7.end()), current7_(current7), begin8_(g8.begin()), end8_(g8.end()), current8_(current8), begin9_(g9.begin()), end9_(g9.end()), current9_(current9), begin10_(g10.begin()), end10_(g10.end()), current10_(current10) { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current10_; if (current10_ == end10_) { current10_ = begin10_; ++current9_; } if (current9_ == end9_) { current9_ = begin9_; ++current8_; } if (current8_ == end8_) { current8_ = begin8_; ++current7_; } if (current7_ == end7_) { current7_ = begin7_; ++current6_; } if (current6_ == end6_) { current6_ = begin6_; ++current5_; } if (current5_ == end5_) { current5_ = begin5_; ++current4_; } if (current4_ == end4_) { current4_ = begin4_; ++current3_; } if (current3_ == end3_) { current3_ = begin3_; ++current2_; } if (current2_ == end2_) { current2_ = begin2_; ++current1_; } ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ( current1_ == typed_other->current1_ && current2_ == typed_other->current2_ && current3_ == typed_other->current3_ && current4_ == typed_other->current4_ && current5_ == typed_other->current5_ && current6_ == typed_other->current6_ && current7_ == typed_other->current7_ && current8_ == typed_other->current8_ && current9_ == typed_other->current9_ && current10_ == typed_other->current10_); } private: Iterator(const Iterator& other) : base_(other.base_), begin1_(other.begin1_), end1_(other.end1_), current1_(other.current1_), begin2_(other.begin2_), end2_(other.end2_), current2_(other.current2_), begin3_(other.begin3_), end3_(other.end3_), current3_(other.current3_), begin4_(other.begin4_), end4_(other.end4_), current4_(other.current4_), begin5_(other.begin5_), end5_(other.end5_), current5_(other.current5_), begin6_(other.begin6_), end6_(other.end6_), current6_(other.current6_), begin7_(other.begin7_), end7_(other.end7_), current7_(other.current7_), begin8_(other.begin8_), end8_(other.end8_), current8_(other.current8_), begin9_(other.begin9_), end9_(other.end9_), current9_(other.current9_), begin10_(other.begin10_), end10_(other.end10_), current10_(other.current10_) { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType(*current1_, *current2_, *current3_, *current4_, *current5_, *current6_, *current7_, *current8_, *current9_, *current10_); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return current1_ == end1_ || current2_ == end2_ || current3_ == end3_ || current4_ == end4_ || current5_ == end5_ || current6_ == end6_ || current7_ == end7_ || current8_ == end8_ || current9_ == end9_ || current10_ == end10_; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. const typename ParamGenerator::iterator begin1_; const typename ParamGenerator::iterator end1_; typename ParamGenerator::iterator current1_; const typename ParamGenerator::iterator begin2_; const typename ParamGenerator::iterator end2_; typename ParamGenerator::iterator current2_; const typename ParamGenerator::iterator begin3_; const typename ParamGenerator::iterator end3_; typename ParamGenerator::iterator current3_; const typename ParamGenerator::iterator begin4_; const typename ParamGenerator::iterator end4_; typename ParamGenerator::iterator current4_; const typename ParamGenerator::iterator begin5_; const typename ParamGenerator::iterator end5_; typename ParamGenerator::iterator current5_; const typename ParamGenerator::iterator begin6_; const typename ParamGenerator::iterator end6_; typename ParamGenerator::iterator current6_; const typename ParamGenerator::iterator begin7_; const typename ParamGenerator::iterator end7_; typename ParamGenerator::iterator current7_; const typename ParamGenerator::iterator begin8_; const typename ParamGenerator::iterator end8_; typename ParamGenerator::iterator current8_; const typename ParamGenerator::iterator begin9_; const typename ParamGenerator::iterator end9_; typename ParamGenerator::iterator current9_; const typename ParamGenerator::iterator begin10_; const typename ParamGenerator::iterator end10_; typename ParamGenerator::iterator current10_; ParamType current_value_; }; // class CartesianProductGenerator10::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator10& other); const ParamGenerator g1_; const ParamGenerator g2_; const ParamGenerator g3_; const ParamGenerator g4_; const ParamGenerator g5_; const ParamGenerator g6_; const ParamGenerator g7_; const ParamGenerator g8_; const ParamGenerator g9_; const ParamGenerator g10_; }; // class CartesianProductGenerator10 // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Helper classes providing Combine() with polymorphic features. They allow // casting CartesianProductGeneratorN to ParamGenerator if T is // convertible to U. // template class CartesianProductHolder2 { public: CartesianProductHolder2(const Generator1& g1, const Generator2& g2) : g1_(g1), g2_(g2) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator2( static_cast >(g1_), static_cast >(g2_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder2& other); const Generator1 g1_; const Generator2 g2_; }; // class CartesianProductHolder2 template class CartesianProductHolder3 { public: CartesianProductHolder3(const Generator1& g1, const Generator2& g2, const Generator3& g3) : g1_(g1), g2_(g2), g3_(g3) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator3( static_cast >(g1_), static_cast >(g2_), static_cast >(g3_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder3& other); const Generator1 g1_; const Generator2 g2_; const Generator3 g3_; }; // class CartesianProductHolder3 template class CartesianProductHolder4 { public: CartesianProductHolder4(const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4) : g1_(g1), g2_(g2), g3_(g3), g4_(g4) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator4( static_cast >(g1_), static_cast >(g2_), static_cast >(g3_), static_cast >(g4_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder4& other); const Generator1 g1_; const Generator2 g2_; const Generator3 g3_; const Generator4 g4_; }; // class CartesianProductHolder4 template class CartesianProductHolder5 { public: CartesianProductHolder5(const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator5( static_cast >(g1_), static_cast >(g2_), static_cast >(g3_), static_cast >(g4_), static_cast >(g5_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder5& other); const Generator1 g1_; const Generator2 g2_; const Generator3 g3_; const Generator4 g4_; const Generator5 g5_; }; // class CartesianProductHolder5 template class CartesianProductHolder6 { public: CartesianProductHolder6(const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator6( static_cast >(g1_), static_cast >(g2_), static_cast >(g3_), static_cast >(g4_), static_cast >(g5_), static_cast >(g6_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder6& other); const Generator1 g1_; const Generator2 g2_; const Generator3 g3_; const Generator4 g4_; const Generator5 g5_; const Generator6 g6_; }; // class CartesianProductHolder6 template class CartesianProductHolder7 { public: CartesianProductHolder7(const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6, const Generator7& g7) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6), g7_(g7) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator7( static_cast >(g1_), static_cast >(g2_), static_cast >(g3_), static_cast >(g4_), static_cast >(g5_), static_cast >(g6_), static_cast >(g7_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder7& other); const Generator1 g1_; const Generator2 g2_; const Generator3 g3_; const Generator4 g4_; const Generator5 g5_; const Generator6 g6_; const Generator7 g7_; }; // class CartesianProductHolder7 template class CartesianProductHolder8 { public: CartesianProductHolder8(const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6, const Generator7& g7, const Generator8& g8) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6), g7_(g7), g8_(g8) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator8( static_cast >(g1_), static_cast >(g2_), static_cast >(g3_), static_cast >(g4_), static_cast >(g5_), static_cast >(g6_), static_cast >(g7_), static_cast >(g8_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder8& other); const Generator1 g1_; const Generator2 g2_; const Generator3 g3_; const Generator4 g4_; const Generator5 g5_; const Generator6 g6_; const Generator7 g7_; const Generator8 g8_; }; // class CartesianProductHolder8 template class CartesianProductHolder9 { public: CartesianProductHolder9(const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6, const Generator7& g7, const Generator8& g8, const Generator9& g9) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6), g7_(g7), g8_(g8), g9_(g9) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator9( static_cast >(g1_), static_cast >(g2_), static_cast >(g3_), static_cast >(g4_), static_cast >(g5_), static_cast >(g6_), static_cast >(g7_), static_cast >(g8_), static_cast >(g9_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder9& other); const Generator1 g1_; const Generator2 g2_; const Generator3 g3_; const Generator4 g4_; const Generator5 g5_; const Generator6 g6_; const Generator7 g7_; const Generator8 g8_; const Generator9 g9_; }; // class CartesianProductHolder9 template class CartesianProductHolder10 { public: CartesianProductHolder10(const Generator1& g1, const Generator2& g2, const Generator3& g3, const Generator4& g4, const Generator5& g5, const Generator6& g6, const Generator7& g7, const Generator8& g8, const Generator9& g9, const Generator10& g10) : g1_(g1), g2_(g2), g3_(g3), g4_(g4), g5_(g5), g6_(g6), g7_(g7), g8_(g8), g9_(g9), g10_(g10) {} template operator ParamGenerator< ::testing::tuple >() const { return ParamGenerator< ::testing::tuple >( new CartesianProductGenerator10( static_cast >(g1_), static_cast >(g2_), static_cast >(g3_), static_cast >(g4_), static_cast >(g5_), static_cast >(g6_), static_cast >(g7_), static_cast >(g8_), static_cast >(g9_), static_cast >(g10_))); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder10& other); const Generator1 g1_; const Generator2 g2_; const Generator3 g3_; const Generator4 g4_; const Generator5 g5_; const Generator6 g6_; const Generator7 g7_; const Generator8 g8_; const Generator9 g9_; const Generator10 g10_; }; // class CartesianProductHolder10 # endif // GTEST_HAS_COMBINE } // namespace internal } // namespace testing #endif // GTEST_HAS_PARAM_TEST #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_GENERATED_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-param-util-generated.h.pump0000644000175100017510000002162315112307767032273 0ustar00runnerrunner$$ -*- mode: c++; -*- $var n = 50 $$ Maximum length of Values arguments we want to support. $var maxtuple = 10 $$ Maximum number of Combine arguments we want to support. // Copyright 2008 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: vladl@google.com (Vlad Losev) // Type and function utilities for implementing parameterized tests. // This file is generated by a SCRIPT. DO NOT EDIT BY HAND! // // Currently Google Test supports at most $n arguments in Values, // and at most $maxtuple arguments in Combine. Please contact // googletestframework@googlegroups.com if you need more. // Please note that the number of arguments to Combine is limited // by the maximum arity of the implementation of tuple which is // currently set at $maxtuple. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_GENERATED_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_GENERATED_H_ // scripts/fuse_gtest.py depends on gtest's own header being #included // *unconditionally*. Therefore these #includes cannot be moved // inside #if GTEST_HAS_PARAM_TEST. #include "gtest/internal/gtest-param-util.h" #include "gtest/internal/gtest-port.h" #if GTEST_HAS_PARAM_TEST namespace testing { // Forward declarations of ValuesIn(), which is implemented in // include/gtest/gtest-param-test.h. template internal::ParamGenerator< typename ::testing::internal::IteratorTraits::value_type> ValuesIn(ForwardIterator begin, ForwardIterator end); template internal::ParamGenerator ValuesIn(const T (&array)[N]); template internal::ParamGenerator ValuesIn( const Container& container); namespace internal { // Used in the Values() function to provide polymorphic capabilities. $range i 1..n $for i [[ $range j 1..i template <$for j, [[typename T$j]]> class ValueArray$i { public: $if i==1 [[explicit ]]ValueArray$i($for j, [[T$j v$j]]) : $for j, [[v$(j)_(v$j)]] {} template operator ParamGenerator() const { const T array[] = {$for j, [[static_cast(v$(j)_)]]}; return ValuesIn(array); } private: // No implementation - assignment is unsupported. void operator=(const ValueArray$i& other); $for j [[ const T$j v$(j)_; ]] }; ]] # if GTEST_HAS_COMBINE // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Generates values from the Cartesian product of values produced // by the argument generators. // $range i 2..maxtuple $for i [[ $range j 1..i $range k 2..i template <$for j, [[typename T$j]]> class CartesianProductGenerator$i : public ParamGeneratorInterface< ::testing::tuple<$for j, [[T$j]]> > { public: typedef ::testing::tuple<$for j, [[T$j]]> ParamType; CartesianProductGenerator$i($for j, [[const ParamGenerator& g$j]]) : $for j, [[g$(j)_(g$j)]] {} virtual ~CartesianProductGenerator$i() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, $for j, [[g$(j)_, g$(j)_.begin()]]); } virtual ParamIteratorInterface* End() const { return new Iterator(this, $for j, [[g$(j)_, g$(j)_.end()]]); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, $for j, [[ const ParamGenerator& g$j, const typename ParamGenerator::iterator& current$(j)]]) : base_(base), $for j, [[ begin$(j)_(g$j.begin()), end$(j)_(g$j.end()), current$(j)_(current$j) ]] { ComputeCurrentValue(); } virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } // Advance should not be called on beyond-of-range iterators // so no component iterators must be beyond end of range, either. virtual void Advance() { assert(!AtEnd()); ++current$(i)_; $for k [[ if (current$(i+2-k)_ == end$(i+2-k)_) { current$(i+2-k)_ = begin$(i+2-k)_; ++current$(i+2-k-1)_; } ]] ComputeCurrentValue(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const ParamType* Current() const { return ¤t_value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const Iterator* typed_other = CheckedDowncastToActualType(&other); // We must report iterators equal if they both point beyond their // respective ranges. That can happen in a variety of fashions, // so we have to consult AtEnd(). return (AtEnd() && typed_other->AtEnd()) || ($for j && [[ current$(j)_ == typed_other->current$(j)_ ]]); } private: Iterator(const Iterator& other) : base_(other.base_), $for j, [[ begin$(j)_(other.begin$(j)_), end$(j)_(other.end$(j)_), current$(j)_(other.current$(j)_) ]] { ComputeCurrentValue(); } void ComputeCurrentValue() { if (!AtEnd()) current_value_ = ParamType($for j, [[*current$(j)_]]); } bool AtEnd() const { // We must report iterator past the end of the range when either of the // component iterators has reached the end of its range. return $for j || [[ current$(j)_ == end$(j)_ ]]; } // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; // begin[i]_ and end[i]_ define the i-th range that Iterator traverses. // current[i]_ is the actual traversing iterator. $for j [[ const typename ParamGenerator::iterator begin$(j)_; const typename ParamGenerator::iterator end$(j)_; typename ParamGenerator::iterator current$(j)_; ]] ParamType current_value_; }; // class CartesianProductGenerator$i::Iterator // No implementation - assignment is unsupported. void operator=(const CartesianProductGenerator$i& other); $for j [[ const ParamGenerator g$(j)_; ]] }; // class CartesianProductGenerator$i ]] // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Helper classes providing Combine() with polymorphic features. They allow // casting CartesianProductGeneratorN to ParamGenerator if T is // convertible to U. // $range i 2..maxtuple $for i [[ $range j 1..i template <$for j, [[class Generator$j]]> class CartesianProductHolder$i { public: CartesianProductHolder$i($for j, [[const Generator$j& g$j]]) : $for j, [[g$(j)_(g$j)]] {} template <$for j, [[typename T$j]]> operator ParamGenerator< ::testing::tuple<$for j, [[T$j]]> >() const { return ParamGenerator< ::testing::tuple<$for j, [[T$j]]> >( new CartesianProductGenerator$i<$for j, [[T$j]]>( $for j,[[ static_cast >(g$(j)_) ]])); } private: // No implementation - assignment is unsupported. void operator=(const CartesianProductHolder$i& other); $for j [[ const Generator$j g$(j)_; ]] }; // class CartesianProductHolder$i ]] # endif // GTEST_HAS_COMBINE } // namespace internal } // namespace testing #endif // GTEST_HAS_PARAM_TEST #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_GENERATED_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-param-util.h0000644000175100017510000006636415112307767027372 0ustar00runnerrunner// Copyright 2008 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: vladl@google.com (Vlad Losev) // Type and function utilities for implementing parameterized tests. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_H_ #include #include #include #include #include // scripts/fuse_gtest.py depends on gtest's own header being #included // *unconditionally*. Therefore these #includes cannot be moved // inside #if GTEST_HAS_PARAM_TEST. #include "gtest/internal/gtest-internal.h" #include "gtest/internal/gtest-linked_ptr.h" #include "gtest/internal/gtest-port.h" #include "gtest/gtest-printers.h" #if GTEST_HAS_PARAM_TEST namespace testing { // Input to a parameterized test name generator, describing a test parameter. // Consists of the parameter value and the integer parameter index. template struct TestParamInfo { TestParamInfo(const ParamType& a_param, size_t an_index) : param(a_param), index(an_index) {} ParamType param; size_t index; }; // A builtin parameterized test name generator which returns the result of // testing::PrintToString. struct PrintToStringParamName { template std::string operator()(const TestParamInfo& info) const { return PrintToString(info.param); } }; namespace internal { // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Outputs a message explaining invalid registration of different // fixture class for the same test case. This may happen when // TEST_P macro is used to define two tests with the same name // but in different namespaces. GTEST_API_ void ReportInvalidTestCaseType(const char* test_case_name, CodeLocation code_location); template class ParamGeneratorInterface; template class ParamGenerator; // Interface for iterating over elements provided by an implementation // of ParamGeneratorInterface. template class ParamIteratorInterface { public: virtual ~ParamIteratorInterface() {} // A pointer to the base generator instance. // Used only for the purposes of iterator comparison // to make sure that two iterators belong to the same generator. virtual const ParamGeneratorInterface* BaseGenerator() const = 0; // Advances iterator to point to the next element // provided by the generator. The caller is responsible // for not calling Advance() on an iterator equal to // BaseGenerator()->End(). virtual void Advance() = 0; // Clones the iterator object. Used for implementing copy semantics // of ParamIterator. virtual ParamIteratorInterface* Clone() const = 0; // Dereferences the current iterator and provides (read-only) access // to the pointed value. It is the caller's responsibility not to call // Current() on an iterator equal to BaseGenerator()->End(). // Used for implementing ParamGenerator::operator*(). virtual const T* Current() const = 0; // Determines whether the given iterator and other point to the same // element in the sequence generated by the generator. // Used for implementing ParamGenerator::operator==(). virtual bool Equals(const ParamIteratorInterface& other) const = 0; }; // Class iterating over elements provided by an implementation of // ParamGeneratorInterface. It wraps ParamIteratorInterface // and implements the const forward iterator concept. template class ParamIterator { public: typedef T value_type; typedef const T& reference; typedef ptrdiff_t difference_type; // ParamIterator assumes ownership of the impl_ pointer. ParamIterator(const ParamIterator& other) : impl_(other.impl_->Clone()) {} ParamIterator& operator=(const ParamIterator& other) { if (this != &other) impl_.reset(other.impl_->Clone()); return *this; } const T& operator*() const { return *impl_->Current(); } const T* operator->() const { return impl_->Current(); } // Prefix version of operator++. ParamIterator& operator++() { impl_->Advance(); return *this; } // Postfix version of operator++. ParamIterator operator++(int /*unused*/) { ParamIteratorInterface* clone = impl_->Clone(); impl_->Advance(); return ParamIterator(clone); } bool operator==(const ParamIterator& other) const { return impl_.get() == other.impl_.get() || impl_->Equals(*other.impl_); } bool operator!=(const ParamIterator& other) const { return !(*this == other); } private: friend class ParamGenerator; explicit ParamIterator(ParamIteratorInterface* impl) : impl_(impl) {} scoped_ptr > impl_; }; // ParamGeneratorInterface is the binary interface to access generators // defined in other translation units. template class ParamGeneratorInterface { public: typedef T ParamType; virtual ~ParamGeneratorInterface() {} // Generator interface definition virtual ParamIteratorInterface* Begin() const = 0; virtual ParamIteratorInterface* End() const = 0; }; // Wraps ParamGeneratorInterface and provides general generator syntax // compatible with the STL Container concept. // This class implements copy initialization semantics and the contained // ParamGeneratorInterface instance is shared among all copies // of the original object. This is possible because that instance is immutable. template class ParamGenerator { public: typedef ParamIterator iterator; explicit ParamGenerator(ParamGeneratorInterface* impl) : impl_(impl) {} ParamGenerator(const ParamGenerator& other) : impl_(other.impl_) {} ParamGenerator& operator=(const ParamGenerator& other) { impl_ = other.impl_; return *this; } iterator begin() const { return iterator(impl_->Begin()); } iterator end() const { return iterator(impl_->End()); } private: linked_ptr > impl_; }; // Generates values from a range of two comparable values. Can be used to // generate sequences of user-defined types that implement operator+() and // operator<(). // This class is used in the Range() function. template class RangeGenerator : public ParamGeneratorInterface { public: RangeGenerator(T begin, T end, IncrementT step) : begin_(begin), end_(end), step_(step), end_index_(CalculateEndIndex(begin, end, step)) {} virtual ~RangeGenerator() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, begin_, 0, step_); } virtual ParamIteratorInterface* End() const { return new Iterator(this, end_, end_index_, step_); } private: class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, T value, int index, IncrementT step) : base_(base), value_(value), index_(index), step_(step) {} virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } virtual void Advance() { value_ = static_cast(value_ + step_); index_++; } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } virtual const T* Current() const { return &value_; } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; const int other_index = CheckedDowncastToActualType(&other)->index_; return index_ == other_index; } private: Iterator(const Iterator& other) : ParamIteratorInterface(), base_(other.base_), value_(other.value_), index_(other.index_), step_(other.step_) {} // No implementation - assignment is unsupported. void operator=(const Iterator& other); const ParamGeneratorInterface* const base_; T value_; int index_; const IncrementT step_; }; // class RangeGenerator::Iterator static int CalculateEndIndex(const T& begin, const T& end, const IncrementT& step) { int end_index = 0; for (T i = begin; i < end; i = static_cast(i + step)) end_index++; return end_index; } // No implementation - assignment is unsupported. void operator=(const RangeGenerator& other); const T begin_; const T end_; const IncrementT step_; // The index for the end() iterator. All the elements in the generated // sequence are indexed (0-based) to aid iterator comparison. const int end_index_; }; // class RangeGenerator // Generates values from a pair of STL-style iterators. Used in the // ValuesIn() function. The elements are copied from the source range // since the source can be located on the stack, and the generator // is likely to persist beyond that stack frame. template class ValuesInIteratorRangeGenerator : public ParamGeneratorInterface { public: template ValuesInIteratorRangeGenerator(ForwardIterator begin, ForwardIterator end) : container_(begin, end) {} virtual ~ValuesInIteratorRangeGenerator() {} virtual ParamIteratorInterface* Begin() const { return new Iterator(this, container_.begin()); } virtual ParamIteratorInterface* End() const { return new Iterator(this, container_.end()); } private: typedef typename ::std::vector ContainerType; class Iterator : public ParamIteratorInterface { public: Iterator(const ParamGeneratorInterface* base, typename ContainerType::const_iterator iterator) : base_(base), iterator_(iterator) {} virtual ~Iterator() {} virtual const ParamGeneratorInterface* BaseGenerator() const { return base_; } virtual void Advance() { ++iterator_; value_.reset(); } virtual ParamIteratorInterface* Clone() const { return new Iterator(*this); } // We need to use cached value referenced by iterator_ because *iterator_ // can return a temporary object (and of type other then T), so just // having "return &*iterator_;" doesn't work. // value_ is updated here and not in Advance() because Advance() // can advance iterator_ beyond the end of the range, and we cannot // detect that fact. The client code, on the other hand, is // responsible for not calling Current() on an out-of-range iterator. virtual const T* Current() const { if (value_.get() == NULL) value_.reset(new T(*iterator_)); return value_.get(); } virtual bool Equals(const ParamIteratorInterface& other) const { // Having the same base generator guarantees that the other // iterator is of the same type and we can downcast. GTEST_CHECK_(BaseGenerator() == other.BaseGenerator()) << "The program attempted to compare iterators " << "from different generators." << std::endl; return iterator_ == CheckedDowncastToActualType(&other)->iterator_; } private: Iterator(const Iterator& other) // The explicit constructor call suppresses a false warning // emitted by gcc when supplied with the -Wextra option. : ParamIteratorInterface(), base_(other.base_), iterator_(other.iterator_) {} const ParamGeneratorInterface* const base_; typename ContainerType::const_iterator iterator_; // A cached value of *iterator_. We keep it here to allow access by // pointer in the wrapping iterator's operator->(). // value_ needs to be mutable to be accessed in Current(). // Use of scoped_ptr helps manage cached value's lifetime, // which is bound by the lifespan of the iterator itself. mutable scoped_ptr value_; }; // class ValuesInIteratorRangeGenerator::Iterator // No implementation - assignment is unsupported. void operator=(const ValuesInIteratorRangeGenerator& other); const ContainerType container_; }; // class ValuesInIteratorRangeGenerator // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Default parameterized test name generator, returns a string containing the // integer test parameter index. template std::string DefaultParamName(const TestParamInfo& info) { Message name_stream; name_stream << info.index; return name_stream.GetString(); } // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Parameterized test name overload helpers, which help the // INSTANTIATE_TEST_CASE_P macro choose between the default parameterized // test name generator and user param name generator. template ParamNameGenFunctor GetParamNameGen(ParamNameGenFunctor func) { return func; } template struct ParamNameGenFunc { typedef std::string Type(const TestParamInfo&); }; template typename ParamNameGenFunc::Type *GetParamNameGen() { return DefaultParamName; } // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Stores a parameter value and later creates tests parameterized with that // value. template class ParameterizedTestFactory : public TestFactoryBase { public: typedef typename TestClass::ParamType ParamType; explicit ParameterizedTestFactory(ParamType parameter) : parameter_(parameter) {} virtual Test* CreateTest() { TestClass::SetParam(¶meter_); return new TestClass(); } private: const ParamType parameter_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ParameterizedTestFactory); }; // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // TestMetaFactoryBase is a base class for meta-factories that create // test factories for passing into MakeAndRegisterTestInfo function. template class TestMetaFactoryBase { public: virtual ~TestMetaFactoryBase() {} virtual TestFactoryBase* CreateTestFactory(ParamType parameter) = 0; }; // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // TestMetaFactory creates test factories for passing into // MakeAndRegisterTestInfo function. Since MakeAndRegisterTestInfo receives // ownership of test factory pointer, same factory object cannot be passed // into that method twice. But ParameterizedTestCaseInfo is going to call // it for each Test/Parameter value combination. Thus it needs meta factory // creator class. template class TestMetaFactory : public TestMetaFactoryBase { public: typedef typename TestCase::ParamType ParamType; TestMetaFactory() {} virtual TestFactoryBase* CreateTestFactory(ParamType parameter) { return new ParameterizedTestFactory(parameter); } private: GTEST_DISALLOW_COPY_AND_ASSIGN_(TestMetaFactory); }; // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // ParameterizedTestCaseInfoBase is a generic interface // to ParameterizedTestCaseInfo classes. ParameterizedTestCaseInfoBase // accumulates test information provided by TEST_P macro invocations // and generators provided by INSTANTIATE_TEST_CASE_P macro invocations // and uses that information to register all resulting test instances // in RegisterTests method. The ParameterizeTestCaseRegistry class holds // a collection of pointers to the ParameterizedTestCaseInfo objects // and calls RegisterTests() on each of them when asked. class ParameterizedTestCaseInfoBase { public: virtual ~ParameterizedTestCaseInfoBase() {} // Base part of test case name for display purposes. virtual const string& GetTestCaseName() const = 0; // Test case id to verify identity. virtual TypeId GetTestCaseTypeId() const = 0; // UnitTest class invokes this method to register tests in this // test case right before running them in RUN_ALL_TESTS macro. // This method should not be called more then once on any single // instance of a ParameterizedTestCaseInfoBase derived class. virtual void RegisterTests() = 0; protected: ParameterizedTestCaseInfoBase() {} private: GTEST_DISALLOW_COPY_AND_ASSIGN_(ParameterizedTestCaseInfoBase); }; // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // ParameterizedTestCaseInfo accumulates tests obtained from TEST_P // macro invocations for a particular test case and generators // obtained from INSTANTIATE_TEST_CASE_P macro invocations for that // test case. It registers tests with all values generated by all // generators when asked. template class ParameterizedTestCaseInfo : public ParameterizedTestCaseInfoBase { public: // ParamType and GeneratorCreationFunc are private types but are required // for declarations of public methods AddTestPattern() and // AddTestCaseInstantiation(). typedef typename TestCase::ParamType ParamType; // A function that returns an instance of appropriate generator type. typedef ParamGenerator(GeneratorCreationFunc)(); typedef typename ParamNameGenFunc::Type ParamNameGeneratorFunc; explicit ParameterizedTestCaseInfo( const char* name, CodeLocation code_location) : test_case_name_(name), code_location_(code_location) {} // Test case base name for display purposes. virtual const string& GetTestCaseName() const { return test_case_name_; } // Test case id to verify identity. virtual TypeId GetTestCaseTypeId() const { return GetTypeId(); } // TEST_P macro uses AddTestPattern() to record information // about a single test in a LocalTestInfo structure. // test_case_name is the base name of the test case (without invocation // prefix). test_base_name is the name of an individual test without // parameter index. For the test SequenceA/FooTest.DoBar/1 FooTest is // test case base name and DoBar is test base name. void AddTestPattern(const char* test_case_name, const char* test_base_name, TestMetaFactoryBase* meta_factory) { tests_.push_back(linked_ptr(new TestInfo(test_case_name, test_base_name, meta_factory))); } // INSTANTIATE_TEST_CASE_P macro uses AddGenerator() to record information // about a generator. int AddTestCaseInstantiation(const string& instantiation_name, GeneratorCreationFunc* func, ParamNameGeneratorFunc* name_func, const char* file, int line) { instantiations_.push_back( InstantiationInfo(instantiation_name, func, name_func, file, line)); return 0; // Return value used only to run this method in namespace scope. } // UnitTest class invokes this method to register tests in this test case // test cases right before running tests in RUN_ALL_TESTS macro. // This method should not be called more then once on any single // instance of a ParameterizedTestCaseInfoBase derived class. // UnitTest has a guard to prevent from calling this method more then once. virtual void RegisterTests() { for (typename TestInfoContainer::iterator test_it = tests_.begin(); test_it != tests_.end(); ++test_it) { linked_ptr test_info = *test_it; for (typename InstantiationContainer::iterator gen_it = instantiations_.begin(); gen_it != instantiations_.end(); ++gen_it) { const string& instantiation_name = gen_it->name; ParamGenerator generator((*gen_it->generator)()); ParamNameGeneratorFunc* name_func = gen_it->name_func; const char* file = gen_it->file; int line = gen_it->line; string test_case_name; if ( !instantiation_name.empty() ) test_case_name = instantiation_name + "/"; test_case_name += test_info->test_case_base_name; size_t i = 0; std::set test_param_names; for (typename ParamGenerator::iterator param_it = generator.begin(); param_it != generator.end(); ++param_it, ++i) { Message test_name_stream; std::string param_name = name_func( TestParamInfo(*param_it, i)); GTEST_CHECK_(IsValidParamName(param_name)) << "Parameterized test name '" << param_name << "' is invalid, in " << file << " line " << line << std::endl; GTEST_CHECK_(test_param_names.count(param_name) == 0) << "Duplicate parameterized test name '" << param_name << "', in " << file << " line " << line << std::endl; test_param_names.insert(param_name); test_name_stream << test_info->test_base_name << "/" << param_name; MakeAndRegisterTestInfo( test_case_name.c_str(), test_name_stream.GetString().c_str(), NULL, // No type parameter. PrintToString(*param_it).c_str(), code_location_, GetTestCaseTypeId(), TestCase::SetUpTestCase, TestCase::TearDownTestCase, test_info->test_meta_factory->CreateTestFactory(*param_it)); } // for param_it } // for gen_it } // for test_it } // RegisterTests private: // LocalTestInfo structure keeps information about a single test registered // with TEST_P macro. struct TestInfo { TestInfo(const char* a_test_case_base_name, const char* a_test_base_name, TestMetaFactoryBase* a_test_meta_factory) : test_case_base_name(a_test_case_base_name), test_base_name(a_test_base_name), test_meta_factory(a_test_meta_factory) {} const string test_case_base_name; const string test_base_name; const scoped_ptr > test_meta_factory; }; typedef ::std::vector > TestInfoContainer; // Records data received from INSTANTIATE_TEST_CASE_P macros: // struct InstantiationInfo { InstantiationInfo(const std::string &name_in, GeneratorCreationFunc* generator_in, ParamNameGeneratorFunc* name_func_in, const char* file_in, int line_in) : name(name_in), generator(generator_in), name_func(name_func_in), file(file_in), line(line_in) {} std::string name; GeneratorCreationFunc* generator; ParamNameGeneratorFunc* name_func; const char* file; int line; }; typedef ::std::vector InstantiationContainer; static bool IsValidParamName(const std::string& name) { // Check for empty string if (name.empty()) return false; // Check for invalid characters for (std::string::size_type index = 0; index < name.size(); ++index) { if (!isalnum(name[index]) && name[index] != '_') return false; } return true; } const string test_case_name_; CodeLocation code_location_; TestInfoContainer tests_; InstantiationContainer instantiations_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ParameterizedTestCaseInfo); }; // class ParameterizedTestCaseInfo // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // ParameterizedTestCaseRegistry contains a map of ParameterizedTestCaseInfoBase // classes accessed by test case names. TEST_P and INSTANTIATE_TEST_CASE_P // macros use it to locate their corresponding ParameterizedTestCaseInfo // descriptors. class ParameterizedTestCaseRegistry { public: ParameterizedTestCaseRegistry() {} ~ParameterizedTestCaseRegistry() { for (TestCaseInfoContainer::iterator it = test_case_infos_.begin(); it != test_case_infos_.end(); ++it) { delete *it; } } // Looks up or creates and returns a structure containing information about // tests and instantiations of a particular test case. template ParameterizedTestCaseInfo* GetTestCasePatternHolder( const char* test_case_name, CodeLocation code_location) { ParameterizedTestCaseInfo* typed_test_info = NULL; for (TestCaseInfoContainer::iterator it = test_case_infos_.begin(); it != test_case_infos_.end(); ++it) { if ((*it)->GetTestCaseName() == test_case_name) { if ((*it)->GetTestCaseTypeId() != GetTypeId()) { // Complain about incorrect usage of Google Test facilities // and terminate the program since we cannot guaranty correct // test case setup and tear-down in this case. ReportInvalidTestCaseType(test_case_name, code_location); posix::Abort(); } else { // At this point we are sure that the object we found is of the same // type we are looking for, so we downcast it to that type // without further checks. typed_test_info = CheckedDowncastToActualType< ParameterizedTestCaseInfo >(*it); } break; } } if (typed_test_info == NULL) { typed_test_info = new ParameterizedTestCaseInfo( test_case_name, code_location); test_case_infos_.push_back(typed_test_info); } return typed_test_info; } void RegisterTests() { for (TestCaseInfoContainer::iterator it = test_case_infos_.begin(); it != test_case_infos_.end(); ++it) { (*it)->RegisterTests(); } } private: typedef ::std::vector TestCaseInfoContainer; TestCaseInfoContainer test_case_infos_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ParameterizedTestCaseRegistry); }; } // namespace internal } // namespace testing #endif // GTEST_HAS_PARAM_TEST #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-port-arch.h0000644000175100017510000000661715112307767027211 0ustar00runnerrunner// Copyright 2015, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // The Google C++ Testing Framework (Google Test) // // This header file defines the GTEST_OS_* macro. // It is separate from gtest-port.h so that custom/gtest-port.h can include it. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PORT_ARCH_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PORT_ARCH_H_ // Determines the platform on which Google Test is compiled. #ifdef __CYGWIN__ # define GTEST_OS_CYGWIN 1 #elif defined __SYMBIAN32__ # define GTEST_OS_SYMBIAN 1 #elif defined _WIN32 # define GTEST_OS_WINDOWS 1 # ifdef _WIN32_WCE # define GTEST_OS_WINDOWS_MOBILE 1 # elif defined(__MINGW__) || defined(__MINGW32__) # define GTEST_OS_WINDOWS_MINGW 1 # elif defined(WINAPI_FAMILY) # include # if WINAPI_FAMILY_PARTITION(WINAPI_PARTITION_DESKTOP) # define GTEST_OS_WINDOWS_DESKTOP 1 # elif WINAPI_FAMILY_PARTITION(WINAPI_PARTITION_PHONE_APP) # define GTEST_OS_WINDOWS_PHONE 1 # elif WINAPI_FAMILY_PARTITION(WINAPI_PARTITION_APP) # define GTEST_OS_WINDOWS_RT 1 # else // WINAPI_FAMILY defined but no known partition matched. // Default to desktop. # define GTEST_OS_WINDOWS_DESKTOP 1 # endif # else # define GTEST_OS_WINDOWS_DESKTOP 1 # endif // _WIN32_WCE #elif defined __APPLE__ # define GTEST_OS_MAC 1 # if TARGET_OS_IPHONE # define GTEST_OS_IOS 1 # endif #elif defined __FreeBSD__ # define GTEST_OS_FREEBSD 1 #elif defined __linux__ # define GTEST_OS_LINUX 1 # if defined __ANDROID__ # define GTEST_OS_LINUX_ANDROID 1 # endif #elif defined __MVS__ # define GTEST_OS_ZOS 1 #elif defined(__sun) && defined(__SVR4) # define GTEST_OS_SOLARIS 1 #elif defined(_AIX) # define GTEST_OS_AIX 1 #elif defined(__hpux) # define GTEST_OS_HPUX 1 #elif defined __native_client__ # define GTEST_OS_NACL 1 #elif defined __OpenBSD__ # define GTEST_OS_OPENBSD 1 #elif defined __QNX__ # define GTEST_OS_QNX 1 #endif // __CYGWIN__ #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PORT_ARCH_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-port.h0000644000175100017510000025764615112307767026310 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Authors: wan@google.com (Zhanyong Wan) // // Low-level types and utilities for porting Google Test to various // platforms. All macros ending with _ and symbols defined in an // internal namespace are subject to change without notice. Code // outside Google Test MUST NOT USE THEM DIRECTLY. Macros that don't // end with _ are part of Google Test's public API and can be used by // code outside Google Test. // // This file is fundamental to Google Test. All other Google Test source // files are expected to #include this. Therefore, it cannot #include // any other Google Test header. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PORT_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PORT_H_ // Environment-describing macros // ----------------------------- // // Google Test can be used in many different environments. Macros in // this section tell Google Test what kind of environment it is being // used in, such that Google Test can provide environment-specific // features and implementations. // // Google Test tries to automatically detect the properties of its // environment, so users usually don't need to worry about these // macros. However, the automatic detection is not perfect. // Sometimes it's necessary for a user to define some of the following // macros in the build script to override Google Test's decisions. // // If the user doesn't define a macro in the list, Google Test will // provide a default definition. After this header is #included, all // macros in this list will be defined to either 1 or 0. // // Notes to maintainers: // - Each macro here is a user-tweakable knob; do not grow the list // lightly. // - Use #if to key off these macros. Don't use #ifdef or "#if // defined(...)", which will not work as these macros are ALWAYS // defined. // // GTEST_HAS_CLONE - Define it to 1/0 to indicate that clone(2) // is/isn't available. // GTEST_HAS_EXCEPTIONS - Define it to 1/0 to indicate that exceptions // are enabled. // GTEST_HAS_GLOBAL_STRING - Define it to 1/0 to indicate that ::string // is/isn't available (some systems define // ::string, which is different to std::string). // GTEST_HAS_GLOBAL_WSTRING - Define it to 1/0 to indicate that ::string // is/isn't available (some systems define // ::wstring, which is different to std::wstring). // GTEST_HAS_POSIX_RE - Define it to 1/0 to indicate that POSIX regular // expressions are/aren't available. // GTEST_HAS_PTHREAD - Define it to 1/0 to indicate that // is/isn't available. // GTEST_HAS_RTTI - Define it to 1/0 to indicate that RTTI is/isn't // enabled. // GTEST_HAS_STD_WSTRING - Define it to 1/0 to indicate that // std::wstring does/doesn't work (Google Test can // be used where std::wstring is unavailable). // GTEST_HAS_TR1_TUPLE - Define it to 1/0 to indicate tr1::tuple // is/isn't available. // GTEST_HAS_SEH - Define it to 1/0 to indicate whether the // compiler supports Microsoft's "Structured // Exception Handling". // GTEST_HAS_STREAM_REDIRECTION // - Define it to 1/0 to indicate whether the // platform supports I/O stream redirection using // dup() and dup2(). // GTEST_USE_OWN_TR1_TUPLE - Define it to 1/0 to indicate whether Google // Test's own tr1 tuple implementation should be // used. Unused when the user sets // GTEST_HAS_TR1_TUPLE to 0. // GTEST_LANG_CXX11 - Define it to 1/0 to indicate that Google Test // is building in C++11/C++98 mode. // GTEST_LINKED_AS_SHARED_LIBRARY // - Define to 1 when compiling tests that use // Google Test as a shared library (known as // DLL on Windows). // GTEST_CREATE_SHARED_LIBRARY // - Define to 1 when compiling Google Test itself // as a shared library. // Platform-indicating macros // -------------------------- // // Macros indicating the platform on which Google Test is being used // (a macro is defined to 1 if compiled on the given platform; // otherwise UNDEFINED -- it's never defined to 0.). Google Test // defines these macros automatically. Code outside Google Test MUST // NOT define them. // // GTEST_OS_AIX - IBM AIX // GTEST_OS_CYGWIN - Cygwin // GTEST_OS_FREEBSD - FreeBSD // GTEST_OS_HPUX - HP-UX // GTEST_OS_LINUX - Linux // GTEST_OS_LINUX_ANDROID - Google Android // GTEST_OS_MAC - Mac OS X // GTEST_OS_IOS - iOS // GTEST_OS_NACL - Google Native Client (NaCl) // GTEST_OS_OPENBSD - OpenBSD // GTEST_OS_QNX - QNX // GTEST_OS_SOLARIS - Sun Solaris // GTEST_OS_SYMBIAN - Symbian // GTEST_OS_WINDOWS - Windows (Desktop, MinGW, or Mobile) // GTEST_OS_WINDOWS_DESKTOP - Windows Desktop // GTEST_OS_WINDOWS_MINGW - MinGW // GTEST_OS_WINDOWS_MOBILE - Windows Mobile // GTEST_OS_WINDOWS_PHONE - Windows Phone // GTEST_OS_WINDOWS_RT - Windows Store App/WinRT // GTEST_OS_ZOS - z/OS // // Among the platforms, Cygwin, Linux, Max OS X, and Windows have the // most stable support. Since core members of the Google Test project // don't have access to other platforms, support for them may be less // stable. If you notice any problems on your platform, please notify // googletestframework@googlegroups.com (patches for fixing them are // even more welcome!). // // It is possible that none of the GTEST_OS_* macros are defined. // Feature-indicating macros // ------------------------- // // Macros indicating which Google Test features are available (a macro // is defined to 1 if the corresponding feature is supported; // otherwise UNDEFINED -- it's never defined to 0.). Google Test // defines these macros automatically. Code outside Google Test MUST // NOT define them. // // These macros are public so that portable tests can be written. // Such tests typically surround code using a feature with an #if // which controls that code. For example: // // #if GTEST_HAS_DEATH_TEST // EXPECT_DEATH(DoSomethingDeadly()); // #endif // // GTEST_HAS_COMBINE - the Combine() function (for value-parameterized // tests) // GTEST_HAS_DEATH_TEST - death tests // GTEST_HAS_PARAM_TEST - value-parameterized tests // GTEST_HAS_TYPED_TEST - typed tests // GTEST_HAS_TYPED_TEST_P - type-parameterized tests // GTEST_IS_THREADSAFE - Google Test is thread-safe. // GTEST_USES_POSIX_RE - enhanced POSIX regex is used. Do not confuse with // GTEST_HAS_POSIX_RE (see above) which users can // define themselves. // GTEST_USES_SIMPLE_RE - our own simple regex is used; // the above two are mutually exclusive. // GTEST_CAN_COMPARE_NULL - accepts untyped NULL in EXPECT_EQ(). // Misc public macros // ------------------ // // GTEST_FLAG(flag_name) - references the variable corresponding to // the given Google Test flag. // Internal utilities // ------------------ // // The following macros and utilities are for Google Test's INTERNAL // use only. Code outside Google Test MUST NOT USE THEM DIRECTLY. // // Macros for basic C++ coding: // GTEST_AMBIGUOUS_ELSE_BLOCKER_ - for disabling a gcc warning. // GTEST_ATTRIBUTE_UNUSED_ - declares that a class' instances or a // variable don't have to be used. // GTEST_DISALLOW_ASSIGN_ - disables operator=. // GTEST_DISALLOW_COPY_AND_ASSIGN_ - disables copy ctor and operator=. // GTEST_MUST_USE_RESULT_ - declares that a function's result must be used. // GTEST_INTENTIONAL_CONST_COND_PUSH_ - start code section where MSVC C4127 is // suppressed (constant conditional). // GTEST_INTENTIONAL_CONST_COND_POP_ - finish code section where MSVC C4127 // is suppressed. // // C++11 feature wrappers: // // testing::internal::move - portability wrapper for std::move. // // Synchronization: // Mutex, MutexLock, ThreadLocal, GetThreadCount() // - synchronization primitives. // // Template meta programming: // is_pointer - as in TR1; needed on Symbian and IBM XL C/C++ only. // IteratorTraits - partial implementation of std::iterator_traits, which // is not available in libCstd when compiled with Sun C++. // // Smart pointers: // scoped_ptr - as in TR2. // // Regular expressions: // RE - a simple regular expression class using the POSIX // Extended Regular Expression syntax on UNIX-like // platforms, or a reduced regular exception syntax on // other platforms, including Windows. // // Logging: // GTEST_LOG_() - logs messages at the specified severity level. // LogToStderr() - directs all log messages to stderr. // FlushInfoLog() - flushes informational log messages. // // Stdout and stderr capturing: // CaptureStdout() - starts capturing stdout. // GetCapturedStdout() - stops capturing stdout and returns the captured // string. // CaptureStderr() - starts capturing stderr. // GetCapturedStderr() - stops capturing stderr and returns the captured // string. // // Integer types: // TypeWithSize - maps an integer to a int type. // Int32, UInt32, Int64, UInt64, TimeInMillis // - integers of known sizes. // BiggestInt - the biggest signed integer type. // // Command-line utilities: // GTEST_DECLARE_*() - declares a flag. // GTEST_DEFINE_*() - defines a flag. // GetInjectableArgvs() - returns the command line as a vector of strings. // // Environment variable utilities: // GetEnv() - gets the value of an environment variable. // BoolFromGTestEnv() - parses a bool environment variable. // Int32FromGTestEnv() - parses an Int32 environment variable. // StringFromGTestEnv() - parses a string environment variable. #include // for isspace, etc #include // for ptrdiff_t #include #include #include #ifndef _WIN32_WCE # include # include #endif // !_WIN32_WCE #if defined __APPLE__ # include # include #endif #include // NOLINT #include // NOLINT #include // NOLINT #include // NOLINT #include #include // NOLINT #include "gtest/internal/gtest-port-arch.h" #include "gtest/internal/custom/gtest-port.h" #if !defined(GTEST_DEV_EMAIL_) # define GTEST_DEV_EMAIL_ "googletestframework@@googlegroups.com" # define GTEST_FLAG_PREFIX_ "gtest_" # define GTEST_FLAG_PREFIX_DASH_ "gtest-" # define GTEST_FLAG_PREFIX_UPPER_ "GTEST_" # define GTEST_NAME_ "Google Test" # define GTEST_PROJECT_URL_ "https://github.com/google/googletest/" #endif // !defined(GTEST_DEV_EMAIL_) #if !defined(GTEST_INIT_GOOGLE_TEST_NAME_) # define GTEST_INIT_GOOGLE_TEST_NAME_ "testing::InitGoogleTest" #endif // !defined(GTEST_INIT_GOOGLE_TEST_NAME_) // Determines the version of gcc that is used to compile this. #ifdef __GNUC__ // 40302 means version 4.3.2. # define GTEST_GCC_VER_ \ (__GNUC__*10000 + __GNUC_MINOR__*100 + __GNUC_PATCHLEVEL__) #endif // __GNUC__ // Macros for disabling Microsoft Visual C++ warnings. // // GTEST_DISABLE_MSC_WARNINGS_PUSH_(4800 4385) // /* code that triggers warnings C4800 and C4385 */ // GTEST_DISABLE_MSC_WARNINGS_POP_() #if _MSC_VER >= 1500 # define GTEST_DISABLE_MSC_WARNINGS_PUSH_(warnings) \ __pragma(warning(push)) \ __pragma(warning(disable: warnings)) # define GTEST_DISABLE_MSC_WARNINGS_POP_() \ __pragma(warning(pop)) #else // Older versions of MSVC don't have __pragma. # define GTEST_DISABLE_MSC_WARNINGS_PUSH_(warnings) # define GTEST_DISABLE_MSC_WARNINGS_POP_() #endif #ifndef GTEST_LANG_CXX11 // gcc and clang define __GXX_EXPERIMENTAL_CXX0X__ when // -std={c,gnu}++{0x,11} is passed. The C++11 standard specifies a // value for __cplusplus, and recent versions of clang, gcc, and // probably other compilers set that too in C++11 mode. # if __GXX_EXPERIMENTAL_CXX0X__ || __cplusplus >= 201103L // Compiling in at least C++11 mode. # define GTEST_LANG_CXX11 1 # else # define GTEST_LANG_CXX11 0 # endif #endif // Distinct from C++11 language support, some environments don't provide // proper C++11 library support. Notably, it's possible to build in // C++11 mode when targeting Mac OS X 10.6, which has an old libstdc++ // with no C++11 support. // // libstdc++ has sufficient C++11 support as of GCC 4.6.0, __GLIBCXX__ // 20110325, but maintenance releases in the 4.4 and 4.5 series followed // this date, so check for those versions by their date stamps. // https://gcc.gnu.org/onlinedocs/libstdc++/manual/abi.html#abi.versioning #if GTEST_LANG_CXX11 && \ (!defined(__GLIBCXX__) || ( \ __GLIBCXX__ >= 20110325ul && /* GCC >= 4.6.0 */ \ /* Blacklist of patch releases of older branches: */ \ __GLIBCXX__ != 20110416ul && /* GCC 4.4.6 */ \ __GLIBCXX__ != 20120313ul && /* GCC 4.4.7 */ \ __GLIBCXX__ != 20110428ul && /* GCC 4.5.3 */ \ __GLIBCXX__ != 20120702ul)) /* GCC 4.5.4 */ # define GTEST_STDLIB_CXX11 1 #endif // Only use C++11 library features if the library provides them. #if GTEST_STDLIB_CXX11 # define GTEST_HAS_STD_BEGIN_AND_END_ 1 # define GTEST_HAS_STD_FORWARD_LIST_ 1 # define GTEST_HAS_STD_FUNCTION_ 1 # define GTEST_HAS_STD_INITIALIZER_LIST_ 1 # define GTEST_HAS_STD_MOVE_ 1 # define GTEST_HAS_STD_SHARED_PTR_ 1 # define GTEST_HAS_STD_TYPE_TRAITS_ 1 # define GTEST_HAS_STD_UNIQUE_PTR_ 1 #endif // C++11 specifies that provides std::tuple. // Some platforms still might not have it, however. #if GTEST_LANG_CXX11 # define GTEST_HAS_STD_TUPLE_ 1 # if defined(__clang__) // Inspired by http://clang.llvm.org/docs/LanguageExtensions.html#__has_include # if defined(__has_include) && !__has_include() # undef GTEST_HAS_STD_TUPLE_ # endif # elif defined(_MSC_VER) // Inspired by boost/config/stdlib/dinkumware.hpp # if defined(_CPPLIB_VER) && _CPPLIB_VER < 520 # undef GTEST_HAS_STD_TUPLE_ # endif # elif defined(__GLIBCXX__) // Inspired by boost/config/stdlib/libstdcpp3.hpp, // http://gcc.gnu.org/gcc-4.2/changes.html and // http://gcc.gnu.org/onlinedocs/libstdc++/manual/bk01pt01ch01.html#manual.intro.status.standard.200x # if __GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 2) # undef GTEST_HAS_STD_TUPLE_ # endif # endif #endif // Brings in definitions for functions used in the testing::internal::posix // namespace (read, write, close, chdir, isatty, stat). We do not currently // use them on Windows Mobile. #if GTEST_OS_WINDOWS # if !GTEST_OS_WINDOWS_MOBILE # include # include # endif // In order to avoid having to include , use forward declaration #if GTEST_OS_WINDOWS_MINGW // MinGW defined _CRITICAL_SECTION and _RTL_CRITICAL_SECTION as two // separate (equivalent) structs, instead of using typedef typedef struct _CRITICAL_SECTION GTEST_CRITICAL_SECTION; #else // Assume CRITICAL_SECTION is a typedef of _RTL_CRITICAL_SECTION. // This assumption is verified by // WindowsTypesTest.CRITICAL_SECTIONIs_RTL_CRITICAL_SECTION. typedef struct _RTL_CRITICAL_SECTION GTEST_CRITICAL_SECTION; #endif #else // This assumes that non-Windows OSes provide unistd.h. For OSes where this // is not the case, we need to include headers that provide the functions // mentioned above. # include # include #endif // GTEST_OS_WINDOWS #if GTEST_OS_LINUX_ANDROID // Used to define __ANDROID_API__ matching the target NDK API level. # include // NOLINT #endif // Defines this to true iff Google Test can use POSIX regular expressions. #ifndef GTEST_HAS_POSIX_RE # if GTEST_OS_LINUX_ANDROID // On Android, is only available starting with Gingerbread. # define GTEST_HAS_POSIX_RE (__ANDROID_API__ >= 9) # else # define GTEST_HAS_POSIX_RE (!GTEST_OS_WINDOWS) # endif #endif #if GTEST_USES_PCRE // The appropriate headers have already been included. #elif GTEST_HAS_POSIX_RE // On some platforms, needs someone to define size_t, and // won't compile otherwise. We can #include it here as we already // included , which is guaranteed to define size_t through // . # include // NOLINT # define GTEST_USES_POSIX_RE 1 #elif GTEST_OS_WINDOWS // is not available on Windows. Use our own simple regex // implementation instead. # define GTEST_USES_SIMPLE_RE 1 #else // may not be available on this platform. Use our own // simple regex implementation instead. # define GTEST_USES_SIMPLE_RE 1 #endif // GTEST_USES_PCRE #ifndef GTEST_HAS_EXCEPTIONS // The user didn't tell us whether exceptions are enabled, so we need // to figure it out. # if defined(_MSC_VER) || defined(__BORLANDC__) // MSVC's and C++Builder's implementations of the STL use the _HAS_EXCEPTIONS // macro to enable exceptions, so we'll do the same. // Assumes that exceptions are enabled by default. # ifndef _HAS_EXCEPTIONS # define _HAS_EXCEPTIONS 1 # endif // _HAS_EXCEPTIONS # define GTEST_HAS_EXCEPTIONS _HAS_EXCEPTIONS # elif defined(__clang__) // clang defines __EXCEPTIONS iff exceptions are enabled before clang 220714, // but iff cleanups are enabled after that. In Obj-C++ files, there can be // cleanups for ObjC exceptions which also need cleanups, even if C++ exceptions // are disabled. clang has __has_feature(cxx_exceptions) which checks for C++ // exceptions starting at clang r206352, but which checked for cleanups prior to // that. To reliably check for C++ exception availability with clang, check for // __EXCEPTIONS && __has_feature(cxx_exceptions). # define GTEST_HAS_EXCEPTIONS (__EXCEPTIONS && __has_feature(cxx_exceptions)) # elif defined(__GNUC__) && __EXCEPTIONS // gcc defines __EXCEPTIONS to 1 iff exceptions are enabled. # define GTEST_HAS_EXCEPTIONS 1 # elif defined(__SUNPRO_CC) // Sun Pro CC supports exceptions. However, there is no compile-time way of // detecting whether they are enabled or not. Therefore, we assume that // they are enabled unless the user tells us otherwise. # define GTEST_HAS_EXCEPTIONS 1 # elif defined(__IBMCPP__) && __EXCEPTIONS // xlC defines __EXCEPTIONS to 1 iff exceptions are enabled. # define GTEST_HAS_EXCEPTIONS 1 # elif defined(__HP_aCC) // Exception handling is in effect by default in HP aCC compiler. It has to // be turned of by +noeh compiler option if desired. # define GTEST_HAS_EXCEPTIONS 1 # else // For other compilers, we assume exceptions are disabled to be // conservative. # define GTEST_HAS_EXCEPTIONS 0 # endif // defined(_MSC_VER) || defined(__BORLANDC__) #endif // GTEST_HAS_EXCEPTIONS #if !defined(GTEST_HAS_STD_STRING) // Even though we don't use this macro any longer, we keep it in case // some clients still depend on it. # define GTEST_HAS_STD_STRING 1 #elif !GTEST_HAS_STD_STRING // The user told us that ::std::string isn't available. # error "Google Test cannot be used where ::std::string isn't available." #endif // !defined(GTEST_HAS_STD_STRING) #ifndef GTEST_HAS_GLOBAL_STRING // The user didn't tell us whether ::string is available, so we need // to figure it out. # define GTEST_HAS_GLOBAL_STRING 0 #endif // GTEST_HAS_GLOBAL_STRING #ifndef GTEST_HAS_STD_WSTRING // The user didn't tell us whether ::std::wstring is available, so we need // to figure it out. // TODO(wan@google.com): uses autoconf to detect whether ::std::wstring // is available. // Cygwin 1.7 and below doesn't support ::std::wstring. // Solaris' libc++ doesn't support it either. Android has // no support for it at least as recent as Froyo (2.2). # define GTEST_HAS_STD_WSTRING \ (!(GTEST_OS_LINUX_ANDROID || GTEST_OS_CYGWIN || GTEST_OS_SOLARIS)) #endif // GTEST_HAS_STD_WSTRING #ifndef GTEST_HAS_GLOBAL_WSTRING // The user didn't tell us whether ::wstring is available, so we need // to figure it out. # define GTEST_HAS_GLOBAL_WSTRING \ (GTEST_HAS_STD_WSTRING && GTEST_HAS_GLOBAL_STRING) #endif // GTEST_HAS_GLOBAL_WSTRING // Determines whether RTTI is available. #ifndef GTEST_HAS_RTTI // The user didn't tell us whether RTTI is enabled, so we need to // figure it out. # ifdef _MSC_VER # ifdef _CPPRTTI // MSVC defines this macro iff RTTI is enabled. # define GTEST_HAS_RTTI 1 # else # define GTEST_HAS_RTTI 0 # endif // Starting with version 4.3.2, gcc defines __GXX_RTTI iff RTTI is enabled. # elif defined(__GNUC__) && (GTEST_GCC_VER_ >= 40302) # ifdef __GXX_RTTI // When building against STLport with the Android NDK and with // -frtti -fno-exceptions, the build fails at link time with undefined // references to __cxa_bad_typeid. Note sure if STL or toolchain bug, // so disable RTTI when detected. # if GTEST_OS_LINUX_ANDROID && defined(_STLPORT_MAJOR) && \ !defined(__EXCEPTIONS) # define GTEST_HAS_RTTI 0 # else # define GTEST_HAS_RTTI 1 # endif // GTEST_OS_LINUX_ANDROID && __STLPORT_MAJOR && !__EXCEPTIONS # else # define GTEST_HAS_RTTI 0 # endif // __GXX_RTTI // Clang defines __GXX_RTTI starting with version 3.0, but its manual recommends // using has_feature instead. has_feature(cxx_rtti) is supported since 2.7, the // first version with C++ support. # elif defined(__clang__) # define GTEST_HAS_RTTI __has_feature(cxx_rtti) // Starting with version 9.0 IBM Visual Age defines __RTTI_ALL__ to 1 if // both the typeid and dynamic_cast features are present. # elif defined(__IBMCPP__) && (__IBMCPP__ >= 900) # ifdef __RTTI_ALL__ # define GTEST_HAS_RTTI 1 # else # define GTEST_HAS_RTTI 0 # endif # else // For all other compilers, we assume RTTI is enabled. # define GTEST_HAS_RTTI 1 # endif // _MSC_VER #endif // GTEST_HAS_RTTI // It's this header's responsibility to #include when RTTI // is enabled. #if GTEST_HAS_RTTI # include #endif // Determines whether Google Test can use the pthreads library. #ifndef GTEST_HAS_PTHREAD // The user didn't tell us explicitly, so we make reasonable assumptions about // which platforms have pthreads support. // // To disable threading support in Google Test, add -DGTEST_HAS_PTHREAD=0 // to your compiler flags. # define GTEST_HAS_PTHREAD (GTEST_OS_LINUX || GTEST_OS_MAC || GTEST_OS_HPUX \ || GTEST_OS_QNX || GTEST_OS_FREEBSD || GTEST_OS_NACL) #endif // GTEST_HAS_PTHREAD #if GTEST_HAS_PTHREAD // gtest-port.h guarantees to #include when GTEST_HAS_PTHREAD is // true. # include // NOLINT // For timespec and nanosleep, used below. # include // NOLINT #endif // Determines if hash_map/hash_set are available. // Only used for testing against those containers. #if !defined(GTEST_HAS_HASH_MAP_) # if _MSC_VER # define GTEST_HAS_HASH_MAP_ 1 // Indicates that hash_map is available. # define GTEST_HAS_HASH_SET_ 1 // Indicates that hash_set is available. # endif // _MSC_VER #endif // !defined(GTEST_HAS_HASH_MAP_) // Determines whether Google Test can use tr1/tuple. You can define // this macro to 0 to prevent Google Test from using tuple (any // feature depending on tuple with be disabled in this mode). #ifndef GTEST_HAS_TR1_TUPLE # if GTEST_OS_LINUX_ANDROID && defined(_STLPORT_MAJOR) // STLport, provided with the Android NDK, has neither or . # define GTEST_HAS_TR1_TUPLE 0 # else // The user didn't tell us not to do it, so we assume it's OK. # define GTEST_HAS_TR1_TUPLE 1 # endif #endif // GTEST_HAS_TR1_TUPLE // Determines whether Google Test's own tr1 tuple implementation // should be used. #ifndef GTEST_USE_OWN_TR1_TUPLE // The user didn't tell us, so we need to figure it out. // We use our own TR1 tuple if we aren't sure the user has an // implementation of it already. At this time, libstdc++ 4.0.0+ and // MSVC 2010 are the only mainstream standard libraries that come // with a TR1 tuple implementation. NVIDIA's CUDA NVCC compiler // pretends to be GCC by defining __GNUC__ and friends, but cannot // compile GCC's tuple implementation. MSVC 2008 (9.0) provides TR1 // tuple in a 323 MB Feature Pack download, which we cannot assume the // user has. QNX's QCC compiler is a modified GCC but it doesn't // support TR1 tuple. libc++ only provides std::tuple, in C++11 mode, // and it can be used with some compilers that define __GNUC__. # if (defined(__GNUC__) && !defined(__CUDACC__) && (GTEST_GCC_VER_ >= 40000) \ && !GTEST_OS_QNX && !defined(_LIBCPP_VERSION)) || _MSC_VER >= 1600 # define GTEST_ENV_HAS_TR1_TUPLE_ 1 # endif // C++11 specifies that provides std::tuple. Use that if gtest is used // in C++11 mode and libstdc++ isn't very old (binaries targeting OS X 10.6 // can build with clang but need to use gcc4.2's libstdc++). # if GTEST_LANG_CXX11 && (!defined(__GLIBCXX__) || __GLIBCXX__ > 20110325) # define GTEST_ENV_HAS_STD_TUPLE_ 1 # endif # if GTEST_ENV_HAS_TR1_TUPLE_ || GTEST_ENV_HAS_STD_TUPLE_ # define GTEST_USE_OWN_TR1_TUPLE 0 # else # define GTEST_USE_OWN_TR1_TUPLE 1 # endif #endif // GTEST_USE_OWN_TR1_TUPLE // To avoid conditional compilation everywhere, we make it // gtest-port.h's responsibility to #include the header implementing // tuple. #if GTEST_HAS_STD_TUPLE_ # include // IWYU pragma: export # define GTEST_TUPLE_NAMESPACE_ ::std #endif // GTEST_HAS_STD_TUPLE_ // We include tr1::tuple even if std::tuple is available to define printers for // them. #if GTEST_HAS_TR1_TUPLE # ifndef GTEST_TUPLE_NAMESPACE_ # define GTEST_TUPLE_NAMESPACE_ ::std::tr1 # endif // GTEST_TUPLE_NAMESPACE_ # if GTEST_USE_OWN_TR1_TUPLE # include "gtest/internal/gtest-tuple.h" // IWYU pragma: export // NOLINT # elif GTEST_ENV_HAS_STD_TUPLE_ # include // C++11 puts its tuple into the ::std namespace rather than // ::std::tr1. gtest expects tuple to live in ::std::tr1, so put it there. // This causes undefined behavior, but supported compilers react in // the way we intend. namespace std { namespace tr1 { using ::std::get; using ::std::make_tuple; using ::std::tuple; using ::std::tuple_element; using ::std::tuple_size; } } # elif GTEST_OS_SYMBIAN // On Symbian, BOOST_HAS_TR1_TUPLE causes Boost's TR1 tuple library to // use STLport's tuple implementation, which unfortunately doesn't // work as the copy of STLport distributed with Symbian is incomplete. // By making sure BOOST_HAS_TR1_TUPLE is undefined, we force Boost to // use its own tuple implementation. # ifdef BOOST_HAS_TR1_TUPLE # undef BOOST_HAS_TR1_TUPLE # endif // BOOST_HAS_TR1_TUPLE // This prevents , which defines // BOOST_HAS_TR1_TUPLE, from being #included by Boost's . # define BOOST_TR1_DETAIL_CONFIG_HPP_INCLUDED # include // IWYU pragma: export // NOLINT # elif defined(__GNUC__) && (GTEST_GCC_VER_ >= 40000) // GCC 4.0+ implements tr1/tuple in the header. This does // not conform to the TR1 spec, which requires the header to be . # if !GTEST_HAS_RTTI && GTEST_GCC_VER_ < 40302 // Until version 4.3.2, gcc has a bug that causes , // which is #included by , to not compile when RTTI is // disabled. _TR1_FUNCTIONAL is the header guard for // . Hence the following #define is a hack to prevent // from being included. # define _TR1_FUNCTIONAL 1 # include # undef _TR1_FUNCTIONAL // Allows the user to #include // if he chooses to. # else # include // NOLINT # endif // !GTEST_HAS_RTTI && GTEST_GCC_VER_ < 40302 # else // If the compiler is not GCC 4.0+, we assume the user is using a // spec-conforming TR1 implementation. # include // IWYU pragma: export // NOLINT # endif // GTEST_USE_OWN_TR1_TUPLE #endif // GTEST_HAS_TR1_TUPLE // Determines whether clone(2) is supported. // Usually it will only be available on Linux, excluding // Linux on the Itanium architecture. // Also see http://linux.die.net/man/2/clone. #ifndef GTEST_HAS_CLONE // The user didn't tell us, so we need to figure it out. # if GTEST_OS_LINUX && !defined(__ia64__) # if GTEST_OS_LINUX_ANDROID // On Android, clone() is only available on ARM starting with Gingerbread. # if defined(__arm__) && __ANDROID_API__ >= 9 # define GTEST_HAS_CLONE 1 # else # define GTEST_HAS_CLONE 0 # endif # else # define GTEST_HAS_CLONE 1 # endif # else # define GTEST_HAS_CLONE 0 # endif // GTEST_OS_LINUX && !defined(__ia64__) #endif // GTEST_HAS_CLONE // Determines whether to support stream redirection. This is used to test // output correctness and to implement death tests. #ifndef GTEST_HAS_STREAM_REDIRECTION // By default, we assume that stream redirection is supported on all // platforms except known mobile ones. # if GTEST_OS_WINDOWS_MOBILE || GTEST_OS_SYMBIAN || \ GTEST_OS_WINDOWS_PHONE || GTEST_OS_WINDOWS_RT # define GTEST_HAS_STREAM_REDIRECTION 0 # else # define GTEST_HAS_STREAM_REDIRECTION 1 # endif // !GTEST_OS_WINDOWS_MOBILE && !GTEST_OS_SYMBIAN #endif // GTEST_HAS_STREAM_REDIRECTION // Determines whether to support death tests. // Google Test does not support death tests for VC 7.1 and earlier as // abort() in a VC 7.1 application compiled as GUI in debug config // pops up a dialog window that cannot be suppressed programmatically. #if (GTEST_OS_LINUX || GTEST_OS_CYGWIN || GTEST_OS_SOLARIS || \ (GTEST_OS_MAC && !GTEST_OS_IOS) || \ (GTEST_OS_WINDOWS_DESKTOP && _MSC_VER >= 1400) || \ GTEST_OS_WINDOWS_MINGW || GTEST_OS_AIX || GTEST_OS_HPUX || \ GTEST_OS_OPENBSD || GTEST_OS_QNX || GTEST_OS_FREEBSD) # define GTEST_HAS_DEATH_TEST 1 #endif // We don't support MSVC 7.1 with exceptions disabled now. Therefore // all the compilers we care about are adequate for supporting // value-parameterized tests. #define GTEST_HAS_PARAM_TEST 1 // Determines whether to support type-driven tests. // Typed tests need and variadic macros, which GCC, VC++ 8.0, // Sun Pro CC, IBM Visual Age, and HP aCC support. #if defined(__GNUC__) || (_MSC_VER >= 1400) || defined(__SUNPRO_CC) || \ defined(__IBMCPP__) || defined(__HP_aCC) # define GTEST_HAS_TYPED_TEST 1 # define GTEST_HAS_TYPED_TEST_P 1 #endif // Determines whether to support Combine(). This only makes sense when // value-parameterized tests are enabled. The implementation doesn't // work on Sun Studio since it doesn't understand templated conversion // operators. #if GTEST_HAS_PARAM_TEST && GTEST_HAS_TR1_TUPLE && !defined(__SUNPRO_CC) # define GTEST_HAS_COMBINE 1 #endif // Determines whether the system compiler uses UTF-16 for encoding wide strings. #define GTEST_WIDE_STRING_USES_UTF16_ \ (GTEST_OS_WINDOWS || GTEST_OS_CYGWIN || GTEST_OS_SYMBIAN || GTEST_OS_AIX) // Determines whether test results can be streamed to a socket. #if GTEST_OS_LINUX # define GTEST_CAN_STREAM_RESULTS_ 1 #endif // Defines some utility macros. // The GNU compiler emits a warning if nested "if" statements are followed by // an "else" statement and braces are not used to explicitly disambiguate the // "else" binding. This leads to problems with code like: // // if (gate) // ASSERT_*(condition) << "Some message"; // // The "switch (0) case 0:" idiom is used to suppress this. #ifdef __INTEL_COMPILER # define GTEST_AMBIGUOUS_ELSE_BLOCKER_ #else # define GTEST_AMBIGUOUS_ELSE_BLOCKER_ switch (0) case 0: default: // NOLINT #endif // Use this annotation at the end of a struct/class definition to // prevent the compiler from optimizing away instances that are never // used. This is useful when all interesting logic happens inside the // c'tor and / or d'tor. Example: // // struct Foo { // Foo() { ... } // } GTEST_ATTRIBUTE_UNUSED_; // // Also use it after a variable or parameter declaration to tell the // compiler the variable/parameter does not have to be used. #if defined(__GNUC__) && !defined(COMPILER_ICC) # define GTEST_ATTRIBUTE_UNUSED_ __attribute__ ((unused)) #elif defined(__clang__) # if __has_attribute(unused) # define GTEST_ATTRIBUTE_UNUSED_ __attribute__ ((unused)) # endif #endif #ifndef GTEST_ATTRIBUTE_UNUSED_ # define GTEST_ATTRIBUTE_UNUSED_ #endif // A macro to disallow operator= // This should be used in the private: declarations for a class. #define GTEST_DISALLOW_ASSIGN_(type)\ void operator=(type const &) // A macro to disallow copy constructor and operator= // This should be used in the private: declarations for a class. #define GTEST_DISALLOW_COPY_AND_ASSIGN_(type)\ type(type const &);\ GTEST_DISALLOW_ASSIGN_(type) // Tell the compiler to warn about unused return values for functions declared // with this macro. The macro should be used on function declarations // following the argument list: // // Sprocket* AllocateSprocket() GTEST_MUST_USE_RESULT_; #if defined(__GNUC__) && (GTEST_GCC_VER_ >= 30400) && !defined(COMPILER_ICC) # define GTEST_MUST_USE_RESULT_ __attribute__ ((warn_unused_result)) #else # define GTEST_MUST_USE_RESULT_ #endif // __GNUC__ && (GTEST_GCC_VER_ >= 30400) && !COMPILER_ICC // MS C++ compiler emits warning when a conditional expression is compile time // constant. In some contexts this warning is false positive and needs to be // suppressed. Use the following two macros in such cases: // // GTEST_INTENTIONAL_CONST_COND_PUSH_() // while (true) { // GTEST_INTENTIONAL_CONST_COND_POP_() // } # define GTEST_INTENTIONAL_CONST_COND_PUSH_() \ GTEST_DISABLE_MSC_WARNINGS_PUSH_(4127) # define GTEST_INTENTIONAL_CONST_COND_POP_() \ GTEST_DISABLE_MSC_WARNINGS_POP_() // Determine whether the compiler supports Microsoft's Structured Exception // Handling. This is supported by several Windows compilers but generally // does not exist on any other system. #ifndef GTEST_HAS_SEH // The user didn't tell us, so we need to figure it out. # if defined(_MSC_VER) || defined(__BORLANDC__) // These two compilers are known to support SEH. # define GTEST_HAS_SEH 1 # else // Assume no SEH. # define GTEST_HAS_SEH 0 # endif #define GTEST_IS_THREADSAFE \ (GTEST_HAS_MUTEX_AND_THREAD_LOCAL_ \ || (GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_PHONE && !GTEST_OS_WINDOWS_RT) \ || GTEST_HAS_PTHREAD) #endif // GTEST_HAS_SEH #ifdef _MSC_VER # if GTEST_LINKED_AS_SHARED_LIBRARY # define GTEST_API_ __declspec(dllimport) # elif GTEST_CREATE_SHARED_LIBRARY # define GTEST_API_ __declspec(dllexport) # endif #elif __GNUC__ >= 4 || defined(__clang__) # define GTEST_API_ __attribute__((visibility ("default"))) #endif // _MSC_VER #ifndef GTEST_API_ # define GTEST_API_ #endif #ifdef __GNUC__ // Ask the compiler to never inline a given function. # define GTEST_NO_INLINE_ __attribute__((noinline)) #else # define GTEST_NO_INLINE_ #endif // _LIBCPP_VERSION is defined by the libc++ library from the LLVM project. #if defined(__GLIBCXX__) || defined(_LIBCPP_VERSION) # define GTEST_HAS_CXXABI_H_ 1 #else # define GTEST_HAS_CXXABI_H_ 0 #endif // A function level attribute to disable checking for use of uninitialized // memory when built with MemorySanitizer. #if defined(__clang__) # if __has_feature(memory_sanitizer) # define GTEST_ATTRIBUTE_NO_SANITIZE_MEMORY_ \ __attribute__((no_sanitize_memory)) # else # define GTEST_ATTRIBUTE_NO_SANITIZE_MEMORY_ # endif // __has_feature(memory_sanitizer) #else # define GTEST_ATTRIBUTE_NO_SANITIZE_MEMORY_ #endif // __clang__ // A function level attribute to disable AddressSanitizer instrumentation. #if defined(__clang__) # if __has_feature(address_sanitizer) # define GTEST_ATTRIBUTE_NO_SANITIZE_ADDRESS_ \ __attribute__((no_sanitize_address)) # else # define GTEST_ATTRIBUTE_NO_SANITIZE_ADDRESS_ # endif // __has_feature(address_sanitizer) #else # define GTEST_ATTRIBUTE_NO_SANITIZE_ADDRESS_ #endif // __clang__ // A function level attribute to disable ThreadSanitizer instrumentation. #if defined(__clang__) # if __has_feature(thread_sanitizer) # define GTEST_ATTRIBUTE_NO_SANITIZE_THREAD_ \ __attribute__((no_sanitize_thread)) # else # define GTEST_ATTRIBUTE_NO_SANITIZE_THREAD_ # endif // __has_feature(thread_sanitizer) #else # define GTEST_ATTRIBUTE_NO_SANITIZE_THREAD_ #endif // __clang__ namespace testing { class Message; #if defined(GTEST_TUPLE_NAMESPACE_) // Import tuple and friends into the ::testing namespace. // It is part of our interface, having them in ::testing allows us to change // their types as needed. using GTEST_TUPLE_NAMESPACE_::get; using GTEST_TUPLE_NAMESPACE_::make_tuple; using GTEST_TUPLE_NAMESPACE_::tuple; using GTEST_TUPLE_NAMESPACE_::tuple_size; using GTEST_TUPLE_NAMESPACE_::tuple_element; #endif // defined(GTEST_TUPLE_NAMESPACE_) namespace internal { // A secret type that Google Test users don't know about. It has no // definition on purpose. Therefore it's impossible to create a // Secret object, which is what we want. class Secret; // The GTEST_COMPILE_ASSERT_ macro can be used to verify that a compile time // expression is true. For example, you could use it to verify the // size of a static array: // // GTEST_COMPILE_ASSERT_(GTEST_ARRAY_SIZE_(names) == NUM_NAMES, // names_incorrect_size); // // or to make sure a struct is smaller than a certain size: // // GTEST_COMPILE_ASSERT_(sizeof(foo) < 128, foo_too_large); // // The second argument to the macro is the name of the variable. If // the expression is false, most compilers will issue a warning/error // containing the name of the variable. #if GTEST_LANG_CXX11 # define GTEST_COMPILE_ASSERT_(expr, msg) static_assert(expr, #msg) #else // !GTEST_LANG_CXX11 template struct CompileAssert { }; # define GTEST_COMPILE_ASSERT_(expr, msg) \ typedef ::testing::internal::CompileAssert<(static_cast(expr))> \ msg[static_cast(expr) ? 1 : -1] GTEST_ATTRIBUTE_UNUSED_ #endif // !GTEST_LANG_CXX11 // Implementation details of GTEST_COMPILE_ASSERT_: // // (In C++11, we simply use static_assert instead of the following) // // - GTEST_COMPILE_ASSERT_ works by defining an array type that has -1 // elements (and thus is invalid) when the expression is false. // // - The simpler definition // // #define GTEST_COMPILE_ASSERT_(expr, msg) typedef char msg[(expr) ? 1 : -1] // // does not work, as gcc supports variable-length arrays whose sizes // are determined at run-time (this is gcc's extension and not part // of the C++ standard). As a result, gcc fails to reject the // following code with the simple definition: // // int foo; // GTEST_COMPILE_ASSERT_(foo, msg); // not supposed to compile as foo is // // not a compile-time constant. // // - By using the type CompileAssert<(bool(expr))>, we ensures that // expr is a compile-time constant. (Template arguments must be // determined at compile-time.) // // - The outter parentheses in CompileAssert<(bool(expr))> are necessary // to work around a bug in gcc 3.4.4 and 4.0.1. If we had written // // CompileAssert // // instead, these compilers will refuse to compile // // GTEST_COMPILE_ASSERT_(5 > 0, some_message); // // (They seem to think the ">" in "5 > 0" marks the end of the // template argument list.) // // - The array size is (bool(expr) ? 1 : -1), instead of simply // // ((expr) ? 1 : -1). // // This is to avoid running into a bug in MS VC 7.1, which // causes ((0.0) ? 1 : -1) to incorrectly evaluate to 1. // StaticAssertTypeEqHelper is used by StaticAssertTypeEq defined in gtest.h. // // This template is declared, but intentionally undefined. template struct StaticAssertTypeEqHelper; template struct StaticAssertTypeEqHelper { enum { value = true }; }; // Evaluates to the number of elements in 'array'. #define GTEST_ARRAY_SIZE_(array) (sizeof(array) / sizeof(array[0])) #if GTEST_HAS_GLOBAL_STRING typedef ::string string; #else typedef ::std::string string; #endif // GTEST_HAS_GLOBAL_STRING #if GTEST_HAS_GLOBAL_WSTRING typedef ::wstring wstring; #elif GTEST_HAS_STD_WSTRING typedef ::std::wstring wstring; #endif // GTEST_HAS_GLOBAL_WSTRING // A helper for suppressing warnings on constant condition. It just // returns 'condition'. GTEST_API_ bool IsTrue(bool condition); // Defines scoped_ptr. // This implementation of scoped_ptr is PARTIAL - it only contains // enough stuff to satisfy Google Test's need. template class scoped_ptr { public: typedef T element_type; explicit scoped_ptr(T* p = NULL) : ptr_(p) {} ~scoped_ptr() { reset(); } T& operator*() const { return *ptr_; } T* operator->() const { return ptr_; } T* get() const { return ptr_; } T* release() { T* const ptr = ptr_; ptr_ = NULL; return ptr; } void reset(T* p = NULL) { if (p != ptr_) { if (IsTrue(sizeof(T) > 0)) { // Makes sure T is a complete type. delete ptr_; } ptr_ = p; } } friend void swap(scoped_ptr& a, scoped_ptr& b) { using std::swap; swap(a.ptr_, b.ptr_); } private: T* ptr_; GTEST_DISALLOW_COPY_AND_ASSIGN_(scoped_ptr); }; // Defines RE. // A simple C++ wrapper for . It uses the POSIX Extended // Regular Expression syntax. class GTEST_API_ RE { public: // A copy constructor is required by the Standard to initialize object // references from r-values. RE(const RE& other) { Init(other.pattern()); } // Constructs an RE from a string. RE(const ::std::string& regex) { Init(regex.c_str()); } // NOLINT #if GTEST_HAS_GLOBAL_STRING RE(const ::string& regex) { Init(regex.c_str()); } // NOLINT #endif // GTEST_HAS_GLOBAL_STRING RE(const char* regex) { Init(regex); } // NOLINT ~RE(); // Returns the string representation of the regex. const char* pattern() const { return pattern_; } // FullMatch(str, re) returns true iff regular expression re matches // the entire str. // PartialMatch(str, re) returns true iff regular expression re // matches a substring of str (including str itself). // // TODO(wan@google.com): make FullMatch() and PartialMatch() work // when str contains NUL characters. static bool FullMatch(const ::std::string& str, const RE& re) { return FullMatch(str.c_str(), re); } static bool PartialMatch(const ::std::string& str, const RE& re) { return PartialMatch(str.c_str(), re); } #if GTEST_HAS_GLOBAL_STRING static bool FullMatch(const ::string& str, const RE& re) { return FullMatch(str.c_str(), re); } static bool PartialMatch(const ::string& str, const RE& re) { return PartialMatch(str.c_str(), re); } #endif // GTEST_HAS_GLOBAL_STRING static bool FullMatch(const char* str, const RE& re); static bool PartialMatch(const char* str, const RE& re); private: void Init(const char* regex); // We use a const char* instead of an std::string, as Google Test used to be // used where std::string is not available. TODO(wan@google.com): change to // std::string. const char* pattern_; bool is_valid_; #if GTEST_USES_POSIX_RE regex_t full_regex_; // For FullMatch(). regex_t partial_regex_; // For PartialMatch(). #else // GTEST_USES_SIMPLE_RE const char* full_pattern_; // For FullMatch(); #endif GTEST_DISALLOW_ASSIGN_(RE); }; // Formats a source file path and a line number as they would appear // in an error message from the compiler used to compile this code. GTEST_API_ ::std::string FormatFileLocation(const char* file, int line); // Formats a file location for compiler-independent XML output. // Although this function is not platform dependent, we put it next to // FormatFileLocation in order to contrast the two functions. GTEST_API_ ::std::string FormatCompilerIndependentFileLocation(const char* file, int line); // Defines logging utilities: // GTEST_LOG_(severity) - logs messages at the specified severity level. The // message itself is streamed into the macro. // LogToStderr() - directs all log messages to stderr. // FlushInfoLog() - flushes informational log messages. enum GTestLogSeverity { GTEST_INFO, GTEST_WARNING, GTEST_ERROR, GTEST_FATAL }; // Formats log entry severity, provides a stream object for streaming the // log message, and terminates the message with a newline when going out of // scope. class GTEST_API_ GTestLog { public: GTestLog(GTestLogSeverity severity, const char* file, int line); // Flushes the buffers and, if severity is GTEST_FATAL, aborts the program. ~GTestLog(); ::std::ostream& GetStream() { return ::std::cerr; } private: const GTestLogSeverity severity_; GTEST_DISALLOW_COPY_AND_ASSIGN_(GTestLog); }; #if !defined(GTEST_LOG_) # define GTEST_LOG_(severity) \ ::testing::internal::GTestLog(::testing::internal::GTEST_##severity, \ __FILE__, __LINE__).GetStream() inline void LogToStderr() {} inline void FlushInfoLog() { fflush(NULL); } #endif // !defined(GTEST_LOG_) #if !defined(GTEST_CHECK_) // INTERNAL IMPLEMENTATION - DO NOT USE. // // GTEST_CHECK_ is an all-mode assert. It aborts the program if the condition // is not satisfied. // Synopsys: // GTEST_CHECK_(boolean_condition); // or // GTEST_CHECK_(boolean_condition) << "Additional message"; // // This checks the condition and if the condition is not satisfied // it prints message about the condition violation, including the // condition itself, plus additional message streamed into it, if any, // and then it aborts the program. It aborts the program irrespective of // whether it is built in the debug mode or not. # define GTEST_CHECK_(condition) \ GTEST_AMBIGUOUS_ELSE_BLOCKER_ \ if (::testing::internal::IsTrue(condition)) \ ; \ else \ GTEST_LOG_(FATAL) << "Condition " #condition " failed. " #endif // !defined(GTEST_CHECK_) // An all-mode assert to verify that the given POSIX-style function // call returns 0 (indicating success). Known limitation: this // doesn't expand to a balanced 'if' statement, so enclose the macro // in {} if you need to use it as the only statement in an 'if' // branch. #define GTEST_CHECK_POSIX_SUCCESS_(posix_call) \ if (const int gtest_error = (posix_call)) \ GTEST_LOG_(FATAL) << #posix_call << "failed with error " \ << gtest_error #if GTEST_HAS_STD_MOVE_ using std::move; #else // GTEST_HAS_STD_MOVE_ template const T& move(const T& t) { return t; } #endif // GTEST_HAS_STD_MOVE_ // INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE. // // Use ImplicitCast_ as a safe version of static_cast for upcasting in // the type hierarchy (e.g. casting a Foo* to a SuperclassOfFoo* or a // const Foo*). When you use ImplicitCast_, the compiler checks that // the cast is safe. Such explicit ImplicitCast_s are necessary in // surprisingly many situations where C++ demands an exact type match // instead of an argument type convertable to a target type. // // The syntax for using ImplicitCast_ is the same as for static_cast: // // ImplicitCast_(expr) // // ImplicitCast_ would have been part of the C++ standard library, // but the proposal was submitted too late. It will probably make // its way into the language in the future. // // This relatively ugly name is intentional. It prevents clashes with // similar functions users may have (e.g., implicit_cast). The internal // namespace alone is not enough because the function can be found by ADL. template inline To ImplicitCast_(To x) { return x; } // When you upcast (that is, cast a pointer from type Foo to type // SuperclassOfFoo), it's fine to use ImplicitCast_<>, since upcasts // always succeed. When you downcast (that is, cast a pointer from // type Foo to type SubclassOfFoo), static_cast<> isn't safe, because // how do you know the pointer is really of type SubclassOfFoo? It // could be a bare Foo, or of type DifferentSubclassOfFoo. Thus, // when you downcast, you should use this macro. In debug mode, we // use dynamic_cast<> to double-check the downcast is legal (we die // if it's not). In normal mode, we do the efficient static_cast<> // instead. Thus, it's important to test in debug mode to make sure // the cast is legal! // This is the only place in the code we should use dynamic_cast<>. // In particular, you SHOULDN'T be using dynamic_cast<> in order to // do RTTI (eg code like this: // if (dynamic_cast(foo)) HandleASubclass1Object(foo); // if (dynamic_cast(foo)) HandleASubclass2Object(foo); // You should design the code some other way not to need this. // // This relatively ugly name is intentional. It prevents clashes with // similar functions users may have (e.g., down_cast). The internal // namespace alone is not enough because the function can be found by ADL. template // use like this: DownCast_(foo); inline To DownCast_(From* f) { // so we only accept pointers // Ensures that To is a sub-type of From *. This test is here only // for compile-time type checking, and has no overhead in an // optimized build at run-time, as it will be optimized away // completely. GTEST_INTENTIONAL_CONST_COND_PUSH_() if (false) { GTEST_INTENTIONAL_CONST_COND_POP_() const To to = NULL; ::testing::internal::ImplicitCast_(to); } #if GTEST_HAS_RTTI // RTTI: debug mode only! GTEST_CHECK_(f == NULL || dynamic_cast(f) != NULL); #endif return static_cast(f); } // Downcasts the pointer of type Base to Derived. // Derived must be a subclass of Base. The parameter MUST // point to a class of type Derived, not any subclass of it. // When RTTI is available, the function performs a runtime // check to enforce this. template Derived* CheckedDowncastToActualType(Base* base) { #if GTEST_HAS_RTTI GTEST_CHECK_(typeid(*base) == typeid(Derived)); #endif #if GTEST_HAS_DOWNCAST_ return ::down_cast(base); #elif GTEST_HAS_RTTI return dynamic_cast(base); // NOLINT #else return static_cast(base); // Poor man's downcast. #endif } #if GTEST_HAS_STREAM_REDIRECTION // Defines the stderr capturer: // CaptureStdout - starts capturing stdout. // GetCapturedStdout - stops capturing stdout and returns the captured string. // CaptureStderr - starts capturing stderr. // GetCapturedStderr - stops capturing stderr and returns the captured string. // GTEST_API_ void CaptureStdout(); GTEST_API_ std::string GetCapturedStdout(); GTEST_API_ void CaptureStderr(); GTEST_API_ std::string GetCapturedStderr(); #endif // GTEST_HAS_STREAM_REDIRECTION // Returns a path to temporary directory. GTEST_API_ std::string TempDir(); // Returns the size (in bytes) of a file. GTEST_API_ size_t GetFileSize(FILE* file); // Reads the entire content of a file as a string. GTEST_API_ std::string ReadEntireFile(FILE* file); // All command line arguments. GTEST_API_ const ::std::vector& GetArgvs(); #if GTEST_HAS_DEATH_TEST const ::std::vector& GetInjectableArgvs(); void SetInjectableArgvs(const ::std::vector* new_argvs); #endif // GTEST_HAS_DEATH_TEST // Defines synchronization primitives. #if GTEST_IS_THREADSAFE # if GTEST_HAS_PTHREAD // Sleeps for (roughly) n milliseconds. This function is only for testing // Google Test's own constructs. Don't use it in user tests, either // directly or indirectly. inline void SleepMilliseconds(int n) { const timespec time = { 0, // 0 seconds. n * 1000L * 1000L, // And n ms. }; nanosleep(&time, NULL); } # endif // GTEST_HAS_PTHREAD # if GTEST_HAS_NOTIFICATION_ // Notification has already been imported into the namespace. // Nothing to do here. # elif GTEST_HAS_PTHREAD // Allows a controller thread to pause execution of newly created // threads until notified. Instances of this class must be created // and destroyed in the controller thread. // // This class is only for testing Google Test's own constructs. Do not // use it in user tests, either directly or indirectly. class Notification { public: Notification() : notified_(false) { GTEST_CHECK_POSIX_SUCCESS_(pthread_mutex_init(&mutex_, NULL)); } ~Notification() { pthread_mutex_destroy(&mutex_); } // Notifies all threads created with this notification to start. Must // be called from the controller thread. void Notify() { pthread_mutex_lock(&mutex_); notified_ = true; pthread_mutex_unlock(&mutex_); } // Blocks until the controller thread notifies. Must be called from a test // thread. void WaitForNotification() { for (;;) { pthread_mutex_lock(&mutex_); const bool notified = notified_; pthread_mutex_unlock(&mutex_); if (notified) break; SleepMilliseconds(10); } } private: pthread_mutex_t mutex_; bool notified_; GTEST_DISALLOW_COPY_AND_ASSIGN_(Notification); }; # elif GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_PHONE && !GTEST_OS_WINDOWS_RT GTEST_API_ void SleepMilliseconds(int n); // Provides leak-safe Windows kernel handle ownership. // Used in death tests and in threading support. class GTEST_API_ AutoHandle { public: // Assume that Win32 HANDLE type is equivalent to void*. Doing so allows us to // avoid including in this header file. Including is // undesirable because it defines a lot of symbols and macros that tend to // conflict with client code. This assumption is verified by // WindowsTypesTest.HANDLEIsVoidStar. typedef void* Handle; AutoHandle(); explicit AutoHandle(Handle handle); ~AutoHandle(); Handle Get() const; void Reset(); void Reset(Handle handle); private: // Returns true iff the handle is a valid handle object that can be closed. bool IsCloseable() const; Handle handle_; GTEST_DISALLOW_COPY_AND_ASSIGN_(AutoHandle); }; // Allows a controller thread to pause execution of newly created // threads until notified. Instances of this class must be created // and destroyed in the controller thread. // // This class is only for testing Google Test's own constructs. Do not // use it in user tests, either directly or indirectly. class GTEST_API_ Notification { public: Notification(); void Notify(); void WaitForNotification(); private: AutoHandle event_; GTEST_DISALLOW_COPY_AND_ASSIGN_(Notification); }; # endif // GTEST_HAS_NOTIFICATION_ // On MinGW, we can have both GTEST_OS_WINDOWS and GTEST_HAS_PTHREAD // defined, but we don't want to use MinGW's pthreads implementation, which // has conformance problems with some versions of the POSIX standard. # if GTEST_HAS_PTHREAD && !GTEST_OS_WINDOWS_MINGW // As a C-function, ThreadFuncWithCLinkage cannot be templated itself. // Consequently, it cannot select a correct instantiation of ThreadWithParam // in order to call its Run(). Introducing ThreadWithParamBase as a // non-templated base class for ThreadWithParam allows us to bypass this // problem. class ThreadWithParamBase { public: virtual ~ThreadWithParamBase() {} virtual void Run() = 0; }; // pthread_create() accepts a pointer to a function type with the C linkage. // According to the Standard (7.5/1), function types with different linkages // are different even if they are otherwise identical. Some compilers (for // example, SunStudio) treat them as different types. Since class methods // cannot be defined with C-linkage we need to define a free C-function to // pass into pthread_create(). extern "C" inline void* ThreadFuncWithCLinkage(void* thread) { static_cast(thread)->Run(); return NULL; } // Helper class for testing Google Test's multi-threading constructs. // To use it, write: // // void ThreadFunc(int param) { /* Do things with param */ } // Notification thread_can_start; // ... // // The thread_can_start parameter is optional; you can supply NULL. // ThreadWithParam thread(&ThreadFunc, 5, &thread_can_start); // thread_can_start.Notify(); // // These classes are only for testing Google Test's own constructs. Do // not use them in user tests, either directly or indirectly. template class ThreadWithParam : public ThreadWithParamBase { public: typedef void UserThreadFunc(T); ThreadWithParam(UserThreadFunc* func, T param, Notification* thread_can_start) : func_(func), param_(param), thread_can_start_(thread_can_start), finished_(false) { ThreadWithParamBase* const base = this; // The thread can be created only after all fields except thread_ // have been initialized. GTEST_CHECK_POSIX_SUCCESS_( pthread_create(&thread_, 0, &ThreadFuncWithCLinkage, base)); } ~ThreadWithParam() { Join(); } void Join() { if (!finished_) { GTEST_CHECK_POSIX_SUCCESS_(pthread_join(thread_, 0)); finished_ = true; } } virtual void Run() { if (thread_can_start_ != NULL) thread_can_start_->WaitForNotification(); func_(param_); } private: UserThreadFunc* const func_; // User-supplied thread function. const T param_; // User-supplied parameter to the thread function. // When non-NULL, used to block execution until the controller thread // notifies. Notification* const thread_can_start_; bool finished_; // true iff we know that the thread function has finished. pthread_t thread_; // The native thread object. GTEST_DISALLOW_COPY_AND_ASSIGN_(ThreadWithParam); }; # endif // !GTEST_OS_WINDOWS && GTEST_HAS_PTHREAD || // GTEST_HAS_MUTEX_AND_THREAD_LOCAL_ # if GTEST_HAS_MUTEX_AND_THREAD_LOCAL_ // Mutex and ThreadLocal have already been imported into the namespace. // Nothing to do here. # elif GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_PHONE && !GTEST_OS_WINDOWS_RT // Mutex implements mutex on Windows platforms. It is used in conjunction // with class MutexLock: // // Mutex mutex; // ... // MutexLock lock(&mutex); // Acquires the mutex and releases it at the // // end of the current scope. // // A static Mutex *must* be defined or declared using one of the following // macros: // GTEST_DEFINE_STATIC_MUTEX_(g_some_mutex); // GTEST_DECLARE_STATIC_MUTEX_(g_some_mutex); // // (A non-static Mutex is defined/declared in the usual way). class GTEST_API_ Mutex { public: enum MutexType { kStatic = 0, kDynamic = 1 }; // We rely on kStaticMutex being 0 as it is to what the linker initializes // type_ in static mutexes. critical_section_ will be initialized lazily // in ThreadSafeLazyInit(). enum StaticConstructorSelector { kStaticMutex = 0 }; // This constructor intentionally does nothing. It relies on type_ being // statically initialized to 0 (effectively setting it to kStatic) and on // ThreadSafeLazyInit() to lazily initialize the rest of the members. explicit Mutex(StaticConstructorSelector /*dummy*/) {} Mutex(); ~Mutex(); void Lock(); void Unlock(); // Does nothing if the current thread holds the mutex. Otherwise, crashes // with high probability. void AssertHeld(); private: // Initializes owner_thread_id_ and critical_section_ in static mutexes. void ThreadSafeLazyInit(); // Per http://blogs.msdn.com/b/oldnewthing/archive/2004/02/23/78395.aspx, // we assume that 0 is an invalid value for thread IDs. unsigned int owner_thread_id_; // For static mutexes, we rely on these members being initialized to zeros // by the linker. MutexType type_; long critical_section_init_phase_; // NOLINT GTEST_CRITICAL_SECTION* critical_section_; GTEST_DISALLOW_COPY_AND_ASSIGN_(Mutex); }; # define GTEST_DECLARE_STATIC_MUTEX_(mutex) \ extern ::testing::internal::Mutex mutex # define GTEST_DEFINE_STATIC_MUTEX_(mutex) \ ::testing::internal::Mutex mutex(::testing::internal::Mutex::kStaticMutex) // We cannot name this class MutexLock because the ctor declaration would // conflict with a macro named MutexLock, which is defined on some // platforms. That macro is used as a defensive measure to prevent against // inadvertent misuses of MutexLock like "MutexLock(&mu)" rather than // "MutexLock l(&mu)". Hence the typedef trick below. class GTestMutexLock { public: explicit GTestMutexLock(Mutex* mutex) : mutex_(mutex) { mutex_->Lock(); } ~GTestMutexLock() { mutex_->Unlock(); } private: Mutex* const mutex_; GTEST_DISALLOW_COPY_AND_ASSIGN_(GTestMutexLock); }; typedef GTestMutexLock MutexLock; // Base class for ValueHolder. Allows a caller to hold and delete a value // without knowing its type. class ThreadLocalValueHolderBase { public: virtual ~ThreadLocalValueHolderBase() {} }; // Provides a way for a thread to send notifications to a ThreadLocal // regardless of its parameter type. class ThreadLocalBase { public: // Creates a new ValueHolder object holding a default value passed to // this ThreadLocal's constructor and returns it. It is the caller's // responsibility not to call this when the ThreadLocal instance already // has a value on the current thread. virtual ThreadLocalValueHolderBase* NewValueForCurrentThread() const = 0; protected: ThreadLocalBase() {} virtual ~ThreadLocalBase() {} private: GTEST_DISALLOW_COPY_AND_ASSIGN_(ThreadLocalBase); }; // Maps a thread to a set of ThreadLocals that have values instantiated on that // thread and notifies them when the thread exits. A ThreadLocal instance is // expected to persist until all threads it has values on have terminated. class GTEST_API_ ThreadLocalRegistry { public: // Registers thread_local_instance as having value on the current thread. // Returns a value that can be used to identify the thread from other threads. static ThreadLocalValueHolderBase* GetValueOnCurrentThread( const ThreadLocalBase* thread_local_instance); // Invoked when a ThreadLocal instance is destroyed. static void OnThreadLocalDestroyed( const ThreadLocalBase* thread_local_instance); }; class GTEST_API_ ThreadWithParamBase { public: void Join(); protected: class Runnable { public: virtual ~Runnable() {} virtual void Run() = 0; }; ThreadWithParamBase(Runnable *runnable, Notification* thread_can_start); virtual ~ThreadWithParamBase(); private: AutoHandle thread_; }; // Helper class for testing Google Test's multi-threading constructs. template class ThreadWithParam : public ThreadWithParamBase { public: typedef void UserThreadFunc(T); ThreadWithParam(UserThreadFunc* func, T param, Notification* thread_can_start) : ThreadWithParamBase(new RunnableImpl(func, param), thread_can_start) { } virtual ~ThreadWithParam() {} private: class RunnableImpl : public Runnable { public: RunnableImpl(UserThreadFunc* func, T param) : func_(func), param_(param) { } virtual ~RunnableImpl() {} virtual void Run() { func_(param_); } private: UserThreadFunc* const func_; const T param_; GTEST_DISALLOW_COPY_AND_ASSIGN_(RunnableImpl); }; GTEST_DISALLOW_COPY_AND_ASSIGN_(ThreadWithParam); }; // Implements thread-local storage on Windows systems. // // // Thread 1 // ThreadLocal tl(100); // 100 is the default value for each thread. // // // Thread 2 // tl.set(150); // Changes the value for thread 2 only. // EXPECT_EQ(150, tl.get()); // // // Thread 1 // EXPECT_EQ(100, tl.get()); // In thread 1, tl has the original value. // tl.set(200); // EXPECT_EQ(200, tl.get()); // // The template type argument T must have a public copy constructor. // In addition, the default ThreadLocal constructor requires T to have // a public default constructor. // // The users of a TheadLocal instance have to make sure that all but one // threads (including the main one) using that instance have exited before // destroying it. Otherwise, the per-thread objects managed for them by the // ThreadLocal instance are not guaranteed to be destroyed on all platforms. // // Google Test only uses global ThreadLocal objects. That means they // will die after main() has returned. Therefore, no per-thread // object managed by Google Test will be leaked as long as all threads // using Google Test have exited when main() returns. template class ThreadLocal : public ThreadLocalBase { public: ThreadLocal() : default_factory_(new DefaultValueHolderFactory()) {} explicit ThreadLocal(const T& value) : default_factory_(new InstanceValueHolderFactory(value)) {} ~ThreadLocal() { ThreadLocalRegistry::OnThreadLocalDestroyed(this); } T* pointer() { return GetOrCreateValue(); } const T* pointer() const { return GetOrCreateValue(); } const T& get() const { return *pointer(); } void set(const T& value) { *pointer() = value; } private: // Holds a value of T. Can be deleted via its base class without the caller // knowing the type of T. class ValueHolder : public ThreadLocalValueHolderBase { public: ValueHolder() : value_() {} explicit ValueHolder(const T& value) : value_(value) {} T* pointer() { return &value_; } private: T value_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ValueHolder); }; T* GetOrCreateValue() const { return static_cast( ThreadLocalRegistry::GetValueOnCurrentThread(this))->pointer(); } virtual ThreadLocalValueHolderBase* NewValueForCurrentThread() const { return default_factory_->MakeNewHolder(); } class ValueHolderFactory { public: ValueHolderFactory() {} virtual ~ValueHolderFactory() {} virtual ValueHolder* MakeNewHolder() const = 0; private: GTEST_DISALLOW_COPY_AND_ASSIGN_(ValueHolderFactory); }; class DefaultValueHolderFactory : public ValueHolderFactory { public: DefaultValueHolderFactory() {} virtual ValueHolder* MakeNewHolder() const { return new ValueHolder(); } private: GTEST_DISALLOW_COPY_AND_ASSIGN_(DefaultValueHolderFactory); }; class InstanceValueHolderFactory : public ValueHolderFactory { public: explicit InstanceValueHolderFactory(const T& value) : value_(value) {} virtual ValueHolder* MakeNewHolder() const { return new ValueHolder(value_); } private: const T value_; // The value for each thread. GTEST_DISALLOW_COPY_AND_ASSIGN_(InstanceValueHolderFactory); }; scoped_ptr default_factory_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ThreadLocal); }; # elif GTEST_HAS_PTHREAD // MutexBase and Mutex implement mutex on pthreads-based platforms. class MutexBase { public: // Acquires this mutex. void Lock() { GTEST_CHECK_POSIX_SUCCESS_(pthread_mutex_lock(&mutex_)); owner_ = pthread_self(); has_owner_ = true; } // Releases this mutex. void Unlock() { // Since the lock is being released the owner_ field should no longer be // considered valid. We don't protect writing to has_owner_ here, as it's // the caller's responsibility to ensure that the current thread holds the // mutex when this is called. has_owner_ = false; GTEST_CHECK_POSIX_SUCCESS_(pthread_mutex_unlock(&mutex_)); } // Does nothing if the current thread holds the mutex. Otherwise, crashes // with high probability. void AssertHeld() const { GTEST_CHECK_(has_owner_ && pthread_equal(owner_, pthread_self())) << "The current thread is not holding the mutex @" << this; } // A static mutex may be used before main() is entered. It may even // be used before the dynamic initialization stage. Therefore we // must be able to initialize a static mutex object at link time. // This means MutexBase has to be a POD and its member variables // have to be public. public: pthread_mutex_t mutex_; // The underlying pthread mutex. // has_owner_ indicates whether the owner_ field below contains a valid thread // ID and is therefore safe to inspect (e.g., to use in pthread_equal()). All // accesses to the owner_ field should be protected by a check of this field. // An alternative might be to memset() owner_ to all zeros, but there's no // guarantee that a zero'd pthread_t is necessarily invalid or even different // from pthread_self(). bool has_owner_; pthread_t owner_; // The thread holding the mutex. }; // Forward-declares a static mutex. # define GTEST_DECLARE_STATIC_MUTEX_(mutex) \ extern ::testing::internal::MutexBase mutex // Defines and statically (i.e. at link time) initializes a static mutex. # define GTEST_DEFINE_STATIC_MUTEX_(mutex) \ ::testing::internal::MutexBase mutex = { PTHREAD_MUTEX_INITIALIZER, false, pthread_t() } // The Mutex class can only be used for mutexes created at runtime. It // shares its API with MutexBase otherwise. class Mutex : public MutexBase { public: Mutex() { GTEST_CHECK_POSIX_SUCCESS_(pthread_mutex_init(&mutex_, NULL)); has_owner_ = false; } ~Mutex() { GTEST_CHECK_POSIX_SUCCESS_(pthread_mutex_destroy(&mutex_)); } private: GTEST_DISALLOW_COPY_AND_ASSIGN_(Mutex); }; // We cannot name this class MutexLock because the ctor declaration would // conflict with a macro named MutexLock, which is defined on some // platforms. That macro is used as a defensive measure to prevent against // inadvertent misuses of MutexLock like "MutexLock(&mu)" rather than // "MutexLock l(&mu)". Hence the typedef trick below. class GTestMutexLock { public: explicit GTestMutexLock(MutexBase* mutex) : mutex_(mutex) { mutex_->Lock(); } ~GTestMutexLock() { mutex_->Unlock(); } private: MutexBase* const mutex_; GTEST_DISALLOW_COPY_AND_ASSIGN_(GTestMutexLock); }; typedef GTestMutexLock MutexLock; // Helpers for ThreadLocal. // pthread_key_create() requires DeleteThreadLocalValue() to have // C-linkage. Therefore it cannot be templatized to access // ThreadLocal. Hence the need for class // ThreadLocalValueHolderBase. class ThreadLocalValueHolderBase { public: virtual ~ThreadLocalValueHolderBase() {} }; // Called by pthread to delete thread-local data stored by // pthread_setspecific(). extern "C" inline void DeleteThreadLocalValue(void* value_holder) { delete static_cast(value_holder); } // Implements thread-local storage on pthreads-based systems. template class ThreadLocal { public: ThreadLocal() : key_(CreateKey()), default_factory_(new DefaultValueHolderFactory()) {} explicit ThreadLocal(const T& value) : key_(CreateKey()), default_factory_(new InstanceValueHolderFactory(value)) {} ~ThreadLocal() { // Destroys the managed object for the current thread, if any. DeleteThreadLocalValue(pthread_getspecific(key_)); // Releases resources associated with the key. This will *not* // delete managed objects for other threads. GTEST_CHECK_POSIX_SUCCESS_(pthread_key_delete(key_)); } T* pointer() { return GetOrCreateValue(); } const T* pointer() const { return GetOrCreateValue(); } const T& get() const { return *pointer(); } void set(const T& value) { *pointer() = value; } private: // Holds a value of type T. class ValueHolder : public ThreadLocalValueHolderBase { public: ValueHolder() : value_() {} explicit ValueHolder(const T& value) : value_(value) {} T* pointer() { return &value_; } private: T value_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ValueHolder); }; static pthread_key_t CreateKey() { pthread_key_t key; // When a thread exits, DeleteThreadLocalValue() will be called on // the object managed for that thread. GTEST_CHECK_POSIX_SUCCESS_( pthread_key_create(&key, &DeleteThreadLocalValue)); return key; } T* GetOrCreateValue() const { ThreadLocalValueHolderBase* const holder = static_cast(pthread_getspecific(key_)); if (holder != NULL) { return CheckedDowncastToActualType(holder)->pointer(); } ValueHolder* const new_holder = default_factory_->MakeNewHolder(); ThreadLocalValueHolderBase* const holder_base = new_holder; GTEST_CHECK_POSIX_SUCCESS_(pthread_setspecific(key_, holder_base)); return new_holder->pointer(); } class ValueHolderFactory { public: ValueHolderFactory() {} virtual ~ValueHolderFactory() {} virtual ValueHolder* MakeNewHolder() const = 0; private: GTEST_DISALLOW_COPY_AND_ASSIGN_(ValueHolderFactory); }; class DefaultValueHolderFactory : public ValueHolderFactory { public: DefaultValueHolderFactory() {} virtual ValueHolder* MakeNewHolder() const { return new ValueHolder(); } private: GTEST_DISALLOW_COPY_AND_ASSIGN_(DefaultValueHolderFactory); }; class InstanceValueHolderFactory : public ValueHolderFactory { public: explicit InstanceValueHolderFactory(const T& value) : value_(value) {} virtual ValueHolder* MakeNewHolder() const { return new ValueHolder(value_); } private: const T value_; // The value for each thread. GTEST_DISALLOW_COPY_AND_ASSIGN_(InstanceValueHolderFactory); }; // A key pthreads uses for looking up per-thread values. const pthread_key_t key_; scoped_ptr default_factory_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ThreadLocal); }; # endif // GTEST_HAS_MUTEX_AND_THREAD_LOCAL_ #else // GTEST_IS_THREADSAFE // A dummy implementation of synchronization primitives (mutex, lock, // and thread-local variable). Necessary for compiling Google Test where // mutex is not supported - using Google Test in multiple threads is not // supported on such platforms. class Mutex { public: Mutex() {} void Lock() {} void Unlock() {} void AssertHeld() const {} }; # define GTEST_DECLARE_STATIC_MUTEX_(mutex) \ extern ::testing::internal::Mutex mutex # define GTEST_DEFINE_STATIC_MUTEX_(mutex) ::testing::internal::Mutex mutex // We cannot name this class MutexLock because the ctor declaration would // conflict with a macro named MutexLock, which is defined on some // platforms. That macro is used as a defensive measure to prevent against // inadvertent misuses of MutexLock like "MutexLock(&mu)" rather than // "MutexLock l(&mu)". Hence the typedef trick below. class GTestMutexLock { public: explicit GTestMutexLock(Mutex*) {} // NOLINT }; typedef GTestMutexLock MutexLock; template class ThreadLocal { public: ThreadLocal() : value_() {} explicit ThreadLocal(const T& value) : value_(value) {} T* pointer() { return &value_; } const T* pointer() const { return &value_; } const T& get() const { return value_; } void set(const T& value) { value_ = value; } private: T value_; }; #endif // GTEST_IS_THREADSAFE // Returns the number of threads running in the process, or 0 to indicate that // we cannot detect it. GTEST_API_ size_t GetThreadCount(); // Passing non-POD classes through ellipsis (...) crashes the ARM // compiler and generates a warning in Sun Studio. The Nokia Symbian // and the IBM XL C/C++ compiler try to instantiate a copy constructor // for objects passed through ellipsis (...), failing for uncopyable // objects. We define this to ensure that only POD is passed through // ellipsis on these systems. #if defined(__SYMBIAN32__) || defined(__IBMCPP__) || defined(__SUNPRO_CC) // We lose support for NULL detection where the compiler doesn't like // passing non-POD classes through ellipsis (...). # define GTEST_ELLIPSIS_NEEDS_POD_ 1 #else # define GTEST_CAN_COMPARE_NULL 1 #endif // The Nokia Symbian and IBM XL C/C++ compilers cannot decide between // const T& and const T* in a function template. These compilers // _can_ decide between class template specializations for T and T*, // so a tr1::type_traits-like is_pointer works. #if defined(__SYMBIAN32__) || defined(__IBMCPP__) # define GTEST_NEEDS_IS_POINTER_ 1 #endif template struct bool_constant { typedef bool_constant type; static const bool value = bool_value; }; template const bool bool_constant::value; typedef bool_constant false_type; typedef bool_constant true_type; template struct is_pointer : public false_type {}; template struct is_pointer : public true_type {}; template struct IteratorTraits { typedef typename Iterator::value_type value_type; }; template struct IteratorTraits { typedef T value_type; }; template struct IteratorTraits { typedef T value_type; }; #if GTEST_OS_WINDOWS # define GTEST_PATH_SEP_ "\\" # define GTEST_HAS_ALT_PATH_SEP_ 1 // The biggest signed integer type the compiler supports. typedef __int64 BiggestInt; #else # define GTEST_PATH_SEP_ "/" # define GTEST_HAS_ALT_PATH_SEP_ 0 typedef long long BiggestInt; // NOLINT #endif // GTEST_OS_WINDOWS // Utilities for char. // isspace(int ch) and friends accept an unsigned char or EOF. char // may be signed, depending on the compiler (or compiler flags). // Therefore we need to cast a char to unsigned char before calling // isspace(), etc. inline bool IsAlpha(char ch) { return isalpha(static_cast(ch)) != 0; } inline bool IsAlNum(char ch) { return isalnum(static_cast(ch)) != 0; } inline bool IsDigit(char ch) { return isdigit(static_cast(ch)) != 0; } inline bool IsLower(char ch) { return islower(static_cast(ch)) != 0; } inline bool IsSpace(char ch) { return isspace(static_cast(ch)) != 0; } inline bool IsUpper(char ch) { return isupper(static_cast(ch)) != 0; } inline bool IsXDigit(char ch) { return isxdigit(static_cast(ch)) != 0; } inline bool IsXDigit(wchar_t ch) { const unsigned char low_byte = static_cast(ch); return ch == low_byte && isxdigit(low_byte) != 0; } inline char ToLower(char ch) { return static_cast(tolower(static_cast(ch))); } inline char ToUpper(char ch) { return static_cast(toupper(static_cast(ch))); } inline std::string StripTrailingSpaces(std::string str) { std::string::iterator it = str.end(); while (it != str.begin() && IsSpace(*--it)) it = str.erase(it); return str; } // The testing::internal::posix namespace holds wrappers for common // POSIX functions. These wrappers hide the differences between // Windows/MSVC and POSIX systems. Since some compilers define these // standard functions as macros, the wrapper cannot have the same name // as the wrapped function. namespace posix { // Functions with a different name on Windows. #if GTEST_OS_WINDOWS typedef struct _stat StatStruct; # ifdef __BORLANDC__ inline int IsATTY(int fd) { return isatty(fd); } inline int StrCaseCmp(const char* s1, const char* s2) { return stricmp(s1, s2); } inline char* StrDup(const char* src) { return strdup(src); } # else // !__BORLANDC__ # if GTEST_OS_WINDOWS_MOBILE inline int IsATTY(int /* fd */) { return 0; } # else inline int IsATTY(int fd) { return _isatty(fd); } # endif // GTEST_OS_WINDOWS_MOBILE inline int StrCaseCmp(const char* s1, const char* s2) { return _stricmp(s1, s2); } inline char* StrDup(const char* src) { return _strdup(src); } # endif // __BORLANDC__ # if GTEST_OS_WINDOWS_MOBILE inline int FileNo(FILE* file) { return reinterpret_cast(_fileno(file)); } // Stat(), RmDir(), and IsDir() are not needed on Windows CE at this // time and thus not defined there. # else inline int FileNo(FILE* file) { return _fileno(file); } inline int Stat(const char* path, StatStruct* buf) { return _stat(path, buf); } inline int RmDir(const char* dir) { return _rmdir(dir); } inline bool IsDir(const StatStruct& st) { return (_S_IFDIR & st.st_mode) != 0; } # endif // GTEST_OS_WINDOWS_MOBILE #else typedef struct stat StatStruct; inline int FileNo(FILE* file) { return fileno(file); } inline int IsATTY(int fd) { return isatty(fd); } inline int Stat(const char* path, StatStruct* buf) { return stat(path, buf); } inline int StrCaseCmp(const char* s1, const char* s2) { return strcasecmp(s1, s2); } inline char* StrDup(const char* src) { return strdup(src); } inline int RmDir(const char* dir) { return rmdir(dir); } inline bool IsDir(const StatStruct& st) { return S_ISDIR(st.st_mode); } #endif // GTEST_OS_WINDOWS // Functions deprecated by MSVC 8.0. GTEST_DISABLE_MSC_WARNINGS_PUSH_(4996 /* deprecated function */) inline const char* StrNCpy(char* dest, const char* src, size_t n) { return strncpy(dest, src, n); } // ChDir(), FReopen(), FDOpen(), Read(), Write(), Close(), and // StrError() aren't needed on Windows CE at this time and thus not // defined there. #if !GTEST_OS_WINDOWS_MOBILE && !GTEST_OS_WINDOWS_PHONE && !GTEST_OS_WINDOWS_RT inline int ChDir(const char* dir) { return chdir(dir); } #endif inline FILE* FOpen(const char* path, const char* mode) { return fopen(path, mode); } #if !GTEST_OS_WINDOWS_MOBILE inline FILE *FReopen(const char* path, const char* mode, FILE* stream) { return freopen(path, mode, stream); } inline FILE* FDOpen(int fd, const char* mode) { return fdopen(fd, mode); } #endif inline int FClose(FILE* fp) { return fclose(fp); } #if !GTEST_OS_WINDOWS_MOBILE inline int Read(int fd, void* buf, unsigned int count) { return static_cast(read(fd, buf, count)); } inline int Write(int fd, const void* buf, unsigned int count) { return static_cast(write(fd, buf, count)); } inline int Close(int fd) { return close(fd); } inline const char* StrError(int errnum) { return strerror(errnum); } #endif inline const char* GetEnv(const char* name) { #if GTEST_OS_WINDOWS_MOBILE || GTEST_OS_WINDOWS_PHONE | GTEST_OS_WINDOWS_RT // We are on Windows CE, which has no environment variables. static_cast(name); // To prevent 'unused argument' warning. return NULL; #elif defined(__BORLANDC__) || defined(__SunOS_5_8) || defined(__SunOS_5_9) // Environment variables which we programmatically clear will be set to the // empty string rather than unset (NULL). Handle that case. const char* const env = getenv(name); return (env != NULL && env[0] != '\0') ? env : NULL; #else return getenv(name); #endif } GTEST_DISABLE_MSC_WARNINGS_POP_() #if GTEST_OS_WINDOWS_MOBILE // Windows CE has no C library. The abort() function is used in // several places in Google Test. This implementation provides a reasonable // imitation of standard behaviour. void Abort(); #else inline void Abort() { abort(); } #endif // GTEST_OS_WINDOWS_MOBILE } // namespace posix // MSVC "deprecates" snprintf and issues warnings wherever it is used. In // order to avoid these warnings, we need to use _snprintf or _snprintf_s on // MSVC-based platforms. We map the GTEST_SNPRINTF_ macro to the appropriate // function in order to achieve that. We use macro definition here because // snprintf is a variadic function. #if _MSC_VER >= 1400 && !GTEST_OS_WINDOWS_MOBILE // MSVC 2005 and above support variadic macros. # define GTEST_SNPRINTF_(buffer, size, format, ...) \ _snprintf_s(buffer, size, size, format, __VA_ARGS__) #elif defined(_MSC_VER) // Windows CE does not define _snprintf_s and MSVC prior to 2005 doesn't // complain about _snprintf. # define GTEST_SNPRINTF_ _snprintf #else # define GTEST_SNPRINTF_ snprintf #endif // The maximum number a BiggestInt can represent. This definition // works no matter BiggestInt is represented in one's complement or // two's complement. // // We cannot rely on numeric_limits in STL, as __int64 and long long // are not part of standard C++ and numeric_limits doesn't need to be // defined for them. const BiggestInt kMaxBiggestInt = ~(static_cast(1) << (8*sizeof(BiggestInt) - 1)); // This template class serves as a compile-time function from size to // type. It maps a size in bytes to a primitive type with that // size. e.g. // // TypeWithSize<4>::UInt // // is typedef-ed to be unsigned int (unsigned integer made up of 4 // bytes). // // Such functionality should belong to STL, but I cannot find it // there. // // Google Test uses this class in the implementation of floating-point // comparison. // // For now it only handles UInt (unsigned int) as that's all Google Test // needs. Other types can be easily added in the future if need // arises. template class TypeWithSize { public: // This prevents the user from using TypeWithSize with incorrect // values of N. typedef void UInt; }; // The specialization for size 4. template <> class TypeWithSize<4> { public: // unsigned int has size 4 in both gcc and MSVC. // // As base/basictypes.h doesn't compile on Windows, we cannot use // uint32, uint64, and etc here. typedef int Int; typedef unsigned int UInt; }; // The specialization for size 8. template <> class TypeWithSize<8> { public: #if GTEST_OS_WINDOWS typedef __int64 Int; typedef unsigned __int64 UInt; #else typedef long long Int; // NOLINT typedef unsigned long long UInt; // NOLINT #endif // GTEST_OS_WINDOWS }; // Integer types of known sizes. typedef TypeWithSize<4>::Int Int32; typedef TypeWithSize<4>::UInt UInt32; typedef TypeWithSize<8>::Int Int64; typedef TypeWithSize<8>::UInt UInt64; typedef TypeWithSize<8>::Int TimeInMillis; // Represents time in milliseconds. // Utilities for command line flags and environment variables. // Macro for referencing flags. #if !defined(GTEST_FLAG) # define GTEST_FLAG(name) FLAGS_gtest_##name #endif // !defined(GTEST_FLAG) #if !defined(GTEST_USE_OWN_FLAGFILE_FLAG_) # define GTEST_USE_OWN_FLAGFILE_FLAG_ 1 #endif // !defined(GTEST_USE_OWN_FLAGFILE_FLAG_) #if !defined(GTEST_DECLARE_bool_) # define GTEST_FLAG_SAVER_ ::testing::internal::GTestFlagSaver // Macros for declaring flags. # define GTEST_DECLARE_bool_(name) GTEST_API_ extern bool GTEST_FLAG(name) # define GTEST_DECLARE_int32_(name) \ GTEST_API_ extern ::testing::internal::Int32 GTEST_FLAG(name) #define GTEST_DECLARE_string_(name) \ GTEST_API_ extern ::std::string GTEST_FLAG(name) // Macros for defining flags. #define GTEST_DEFINE_bool_(name, default_val, doc) \ GTEST_API_ bool GTEST_FLAG(name) = (default_val) #define GTEST_DEFINE_int32_(name, default_val, doc) \ GTEST_API_ ::testing::internal::Int32 GTEST_FLAG(name) = (default_val) #define GTEST_DEFINE_string_(name, default_val, doc) \ GTEST_API_ ::std::string GTEST_FLAG(name) = (default_val) #endif // !defined(GTEST_DECLARE_bool_) // Thread annotations #if !defined(GTEST_EXCLUSIVE_LOCK_REQUIRED_) # define GTEST_EXCLUSIVE_LOCK_REQUIRED_(locks) # define GTEST_LOCK_EXCLUDED_(locks) #endif // !defined(GTEST_EXCLUSIVE_LOCK_REQUIRED_) // Parses 'str' for a 32-bit signed integer. If successful, writes the result // to *value and returns true; otherwise leaves *value unchanged and returns // false. // TODO(chandlerc): Find a better way to refactor flag and environment parsing // out of both gtest-port.cc and gtest.cc to avoid exporting this utility // function. bool ParseInt32(const Message& src_text, const char* str, Int32* value); // Parses a bool/Int32/string from the environment variable // corresponding to the given Google Test flag. bool BoolFromGTestEnv(const char* flag, bool default_val); GTEST_API_ Int32 Int32FromGTestEnv(const char* flag, Int32 default_val); std::string StringFromGTestEnv(const char* flag, const char* default_val); } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PORT_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-string.h0000644000175100017510000001547015112307767026615 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Authors: wan@google.com (Zhanyong Wan), eefacm@gmail.com (Sean Mcafee) // // The Google C++ Testing Framework (Google Test) // // This header file declares the String class and functions used internally by // Google Test. They are subject to change without notice. They should not used // by code external to Google Test. // // This header file is #included by . // It should not be #included by other files. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_STRING_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_STRING_H_ #ifdef __BORLANDC__ // string.h is not guaranteed to provide strcpy on C++ Builder. # include #endif #include #include #include "gtest/internal/gtest-port.h" namespace testing { namespace internal { // String - an abstract class holding static string utilities. class GTEST_API_ String { public: // Static utility methods // Clones a 0-terminated C string, allocating memory using new. The // caller is responsible for deleting the return value using // delete[]. Returns the cloned string, or NULL if the input is // NULL. // // This is different from strdup() in string.h, which allocates // memory using malloc(). static const char* CloneCString(const char* c_str); #if GTEST_OS_WINDOWS_MOBILE // Windows CE does not have the 'ANSI' versions of Win32 APIs. To be // able to pass strings to Win32 APIs on CE we need to convert them // to 'Unicode', UTF-16. // Creates a UTF-16 wide string from the given ANSI string, allocating // memory using new. The caller is responsible for deleting the return // value using delete[]. Returns the wide string, or NULL if the // input is NULL. // // The wide string is created using the ANSI codepage (CP_ACP) to // match the behaviour of the ANSI versions of Win32 calls and the // C runtime. static LPCWSTR AnsiToUtf16(const char* c_str); // Creates an ANSI string from the given wide string, allocating // memory using new. The caller is responsible for deleting the return // value using delete[]. Returns the ANSI string, or NULL if the // input is NULL. // // The returned string is created using the ANSI codepage (CP_ACP) to // match the behaviour of the ANSI versions of Win32 calls and the // C runtime. static const char* Utf16ToAnsi(LPCWSTR utf16_str); #endif // Compares two C strings. Returns true iff they have the same content. // // Unlike strcmp(), this function can handle NULL argument(s). A // NULL C string is considered different to any non-NULL C string, // including the empty string. static bool CStringEquals(const char* lhs, const char* rhs); // Converts a wide C string to a String using the UTF-8 encoding. // NULL will be converted to "(null)". If an error occurred during // the conversion, "(failed to convert from wide string)" is // returned. static std::string ShowWideCString(const wchar_t* wide_c_str); // Compares two wide C strings. Returns true iff they have the same // content. // // Unlike wcscmp(), this function can handle NULL argument(s). A // NULL C string is considered different to any non-NULL C string, // including the empty string. static bool WideCStringEquals(const wchar_t* lhs, const wchar_t* rhs); // Compares two C strings, ignoring case. Returns true iff they // have the same content. // // Unlike strcasecmp(), this function can handle NULL argument(s). // A NULL C string is considered different to any non-NULL C string, // including the empty string. static bool CaseInsensitiveCStringEquals(const char* lhs, const char* rhs); // Compares two wide C strings, ignoring case. Returns true iff they // have the same content. // // Unlike wcscasecmp(), this function can handle NULL argument(s). // A NULL C string is considered different to any non-NULL wide C string, // including the empty string. // NB: The implementations on different platforms slightly differ. // On windows, this method uses _wcsicmp which compares according to LC_CTYPE // environment variable. On GNU platform this method uses wcscasecmp // which compares according to LC_CTYPE category of the current locale. // On MacOS X, it uses towlower, which also uses LC_CTYPE category of the // current locale. static bool CaseInsensitiveWideCStringEquals(const wchar_t* lhs, const wchar_t* rhs); // Returns true iff the given string ends with the given suffix, ignoring // case. Any string is considered to end with an empty suffix. static bool EndsWithCaseInsensitive( const std::string& str, const std::string& suffix); // Formats an int value as "%02d". static std::string FormatIntWidth2(int value); // "%02d" for width == 2 // Formats an int value as "%X". static std::string FormatHexInt(int value); // Formats a byte as "%02X". static std::string FormatByte(unsigned char value); private: String(); // Not meant to be instantiated. }; // class String // Gets the content of the stringstream's buffer as an std::string. Each '\0' // character in the buffer is replaced with "\\0". GTEST_API_ std::string StringStreamToString(::std::stringstream* stream); } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_STRING_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-tuple.h0000644000175100017510000006771115112307767026445 0ustar00runnerrunner// This file was GENERATED by command: // pump.py gtest-tuple.h.pump // DO NOT EDIT BY HAND!!! // Copyright 2009 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // Implements a subset of TR1 tuple needed by Google Test and Google Mock. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TUPLE_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TUPLE_H_ #include // For ::std::pair. // The compiler used in Symbian has a bug that prevents us from declaring the // tuple template as a friend (it complains that tuple is redefined). This // hack bypasses the bug by declaring the members that should otherwise be // private as public. // Sun Studio versions < 12 also have the above bug. #if defined(__SYMBIAN32__) || (defined(__SUNPRO_CC) && __SUNPRO_CC < 0x590) # define GTEST_DECLARE_TUPLE_AS_FRIEND_ public: #else # define GTEST_DECLARE_TUPLE_AS_FRIEND_ \ template friend class tuple; \ private: #endif // Visual Studio 2010, 2012, and 2013 define symbols in std::tr1 that conflict // with our own definitions. Therefore using our own tuple does not work on // those compilers. #if defined(_MSC_VER) && _MSC_VER >= 1600 /* 1600 is Visual Studio 2010 */ # error "gtest's tuple doesn't compile on Visual Studio 2010 or later. \ GTEST_USE_OWN_TR1_TUPLE must be set to 0 on those compilers." #endif // GTEST_n_TUPLE_(T) is the type of an n-tuple. #define GTEST_0_TUPLE_(T) tuple<> #define GTEST_1_TUPLE_(T) tuple #define GTEST_2_TUPLE_(T) tuple #define GTEST_3_TUPLE_(T) tuple #define GTEST_4_TUPLE_(T) tuple #define GTEST_5_TUPLE_(T) tuple #define GTEST_6_TUPLE_(T) tuple #define GTEST_7_TUPLE_(T) tuple #define GTEST_8_TUPLE_(T) tuple #define GTEST_9_TUPLE_(T) tuple #define GTEST_10_TUPLE_(T) tuple // GTEST_n_TYPENAMES_(T) declares a list of n typenames. #define GTEST_0_TYPENAMES_(T) #define GTEST_1_TYPENAMES_(T) typename T##0 #define GTEST_2_TYPENAMES_(T) typename T##0, typename T##1 #define GTEST_3_TYPENAMES_(T) typename T##0, typename T##1, typename T##2 #define GTEST_4_TYPENAMES_(T) typename T##0, typename T##1, typename T##2, \ typename T##3 #define GTEST_5_TYPENAMES_(T) typename T##0, typename T##1, typename T##2, \ typename T##3, typename T##4 #define GTEST_6_TYPENAMES_(T) typename T##0, typename T##1, typename T##2, \ typename T##3, typename T##4, typename T##5 #define GTEST_7_TYPENAMES_(T) typename T##0, typename T##1, typename T##2, \ typename T##3, typename T##4, typename T##5, typename T##6 #define GTEST_8_TYPENAMES_(T) typename T##0, typename T##1, typename T##2, \ typename T##3, typename T##4, typename T##5, typename T##6, typename T##7 #define GTEST_9_TYPENAMES_(T) typename T##0, typename T##1, typename T##2, \ typename T##3, typename T##4, typename T##5, typename T##6, \ typename T##7, typename T##8 #define GTEST_10_TYPENAMES_(T) typename T##0, typename T##1, typename T##2, \ typename T##3, typename T##4, typename T##5, typename T##6, \ typename T##7, typename T##8, typename T##9 // In theory, defining stuff in the ::std namespace is undefined // behavior. We can do this as we are playing the role of a standard // library vendor. namespace std { namespace tr1 { template class tuple; // Anything in namespace gtest_internal is Google Test's INTERNAL // IMPLEMENTATION DETAIL and MUST NOT BE USED DIRECTLY in user code. namespace gtest_internal { // ByRef::type is T if T is a reference; otherwise it's const T&. template struct ByRef { typedef const T& type; }; // NOLINT template struct ByRef { typedef T& type; }; // NOLINT // A handy wrapper for ByRef. #define GTEST_BY_REF_(T) typename ::std::tr1::gtest_internal::ByRef::type // AddRef::type is T if T is a reference; otherwise it's T&. This // is the same as tr1::add_reference::type. template struct AddRef { typedef T& type; }; // NOLINT template struct AddRef { typedef T& type; }; // NOLINT // A handy wrapper for AddRef. #define GTEST_ADD_REF_(T) typename ::std::tr1::gtest_internal::AddRef::type // A helper for implementing get(). template class Get; // A helper for implementing tuple_element. kIndexValid is true // iff k < the number of fields in tuple type T. template struct TupleElement; template struct TupleElement { typedef T0 type; }; template struct TupleElement { typedef T1 type; }; template struct TupleElement { typedef T2 type; }; template struct TupleElement { typedef T3 type; }; template struct TupleElement { typedef T4 type; }; template struct TupleElement { typedef T5 type; }; template struct TupleElement { typedef T6 type; }; template struct TupleElement { typedef T7 type; }; template struct TupleElement { typedef T8 type; }; template struct TupleElement { typedef T9 type; }; } // namespace gtest_internal template <> class tuple<> { public: tuple() {} tuple(const tuple& /* t */) {} tuple& operator=(const tuple& /* t */) { return *this; } }; template class GTEST_1_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_() {} explicit tuple(GTEST_BY_REF_(T0) f0) : f0_(f0) {} tuple(const tuple& t) : f0_(t.f0_) {} template tuple(const GTEST_1_TUPLE_(U)& t) : f0_(t.f0_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_1_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_1_TUPLE_(U)& t) { f0_ = t.f0_; return *this; } T0 f0_; }; template class GTEST_2_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1) : f0_(f0), f1_(f1) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_) {} template tuple(const GTEST_2_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_) {} template tuple(const ::std::pair& p) : f0_(p.first), f1_(p.second) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_2_TUPLE_(U)& t) { return CopyFrom(t); } template tuple& operator=(const ::std::pair& p) { f0_ = p.first; f1_ = p.second; return *this; } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_2_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; return *this; } T0 f0_; T1 f1_; }; template class GTEST_3_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_(), f2_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1, GTEST_BY_REF_(T2) f2) : f0_(f0), f1_(f1), f2_(f2) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_) {} template tuple(const GTEST_3_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_3_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_3_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; f2_ = t.f2_; return *this; } T0 f0_; T1 f1_; T2 f2_; }; template class GTEST_4_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_(), f2_(), f3_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1, GTEST_BY_REF_(T2) f2, GTEST_BY_REF_(T3) f3) : f0_(f0), f1_(f1), f2_(f2), f3_(f3) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_) {} template tuple(const GTEST_4_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_4_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_4_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; f2_ = t.f2_; f3_ = t.f3_; return *this; } T0 f0_; T1 f1_; T2 f2_; T3 f3_; }; template class GTEST_5_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_(), f2_(), f3_(), f4_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1, GTEST_BY_REF_(T2) f2, GTEST_BY_REF_(T3) f3, GTEST_BY_REF_(T4) f4) : f0_(f0), f1_(f1), f2_(f2), f3_(f3), f4_(f4) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_) {} template tuple(const GTEST_5_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_5_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_5_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; f2_ = t.f2_; f3_ = t.f3_; f4_ = t.f4_; return *this; } T0 f0_; T1 f1_; T2 f2_; T3 f3_; T4 f4_; }; template class GTEST_6_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_(), f2_(), f3_(), f4_(), f5_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1, GTEST_BY_REF_(T2) f2, GTEST_BY_REF_(T3) f3, GTEST_BY_REF_(T4) f4, GTEST_BY_REF_(T5) f5) : f0_(f0), f1_(f1), f2_(f2), f3_(f3), f4_(f4), f5_(f5) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_) {} template tuple(const GTEST_6_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_6_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_6_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; f2_ = t.f2_; f3_ = t.f3_; f4_ = t.f4_; f5_ = t.f5_; return *this; } T0 f0_; T1 f1_; T2 f2_; T3 f3_; T4 f4_; T5 f5_; }; template class GTEST_7_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_(), f2_(), f3_(), f4_(), f5_(), f6_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1, GTEST_BY_REF_(T2) f2, GTEST_BY_REF_(T3) f3, GTEST_BY_REF_(T4) f4, GTEST_BY_REF_(T5) f5, GTEST_BY_REF_(T6) f6) : f0_(f0), f1_(f1), f2_(f2), f3_(f3), f4_(f4), f5_(f5), f6_(f6) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_), f6_(t.f6_) {} template tuple(const GTEST_7_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_), f6_(t.f6_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_7_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_7_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; f2_ = t.f2_; f3_ = t.f3_; f4_ = t.f4_; f5_ = t.f5_; f6_ = t.f6_; return *this; } T0 f0_; T1 f1_; T2 f2_; T3 f3_; T4 f4_; T5 f5_; T6 f6_; }; template class GTEST_8_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_(), f2_(), f3_(), f4_(), f5_(), f6_(), f7_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1, GTEST_BY_REF_(T2) f2, GTEST_BY_REF_(T3) f3, GTEST_BY_REF_(T4) f4, GTEST_BY_REF_(T5) f5, GTEST_BY_REF_(T6) f6, GTEST_BY_REF_(T7) f7) : f0_(f0), f1_(f1), f2_(f2), f3_(f3), f4_(f4), f5_(f5), f6_(f6), f7_(f7) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_), f6_(t.f6_), f7_(t.f7_) {} template tuple(const GTEST_8_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_), f6_(t.f6_), f7_(t.f7_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_8_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_8_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; f2_ = t.f2_; f3_ = t.f3_; f4_ = t.f4_; f5_ = t.f5_; f6_ = t.f6_; f7_ = t.f7_; return *this; } T0 f0_; T1 f1_; T2 f2_; T3 f3_; T4 f4_; T5 f5_; T6 f6_; T7 f7_; }; template class GTEST_9_TUPLE_(T) { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_(), f2_(), f3_(), f4_(), f5_(), f6_(), f7_(), f8_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1, GTEST_BY_REF_(T2) f2, GTEST_BY_REF_(T3) f3, GTEST_BY_REF_(T4) f4, GTEST_BY_REF_(T5) f5, GTEST_BY_REF_(T6) f6, GTEST_BY_REF_(T7) f7, GTEST_BY_REF_(T8) f8) : f0_(f0), f1_(f1), f2_(f2), f3_(f3), f4_(f4), f5_(f5), f6_(f6), f7_(f7), f8_(f8) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_), f6_(t.f6_), f7_(t.f7_), f8_(t.f8_) {} template tuple(const GTEST_9_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_), f6_(t.f6_), f7_(t.f7_), f8_(t.f8_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_9_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_9_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; f2_ = t.f2_; f3_ = t.f3_; f4_ = t.f4_; f5_ = t.f5_; f6_ = t.f6_; f7_ = t.f7_; f8_ = t.f8_; return *this; } T0 f0_; T1 f1_; T2 f2_; T3 f3_; T4 f4_; T5 f5_; T6 f6_; T7 f7_; T8 f8_; }; template class tuple { public: template friend class gtest_internal::Get; tuple() : f0_(), f1_(), f2_(), f3_(), f4_(), f5_(), f6_(), f7_(), f8_(), f9_() {} explicit tuple(GTEST_BY_REF_(T0) f0, GTEST_BY_REF_(T1) f1, GTEST_BY_REF_(T2) f2, GTEST_BY_REF_(T3) f3, GTEST_BY_REF_(T4) f4, GTEST_BY_REF_(T5) f5, GTEST_BY_REF_(T6) f6, GTEST_BY_REF_(T7) f7, GTEST_BY_REF_(T8) f8, GTEST_BY_REF_(T9) f9) : f0_(f0), f1_(f1), f2_(f2), f3_(f3), f4_(f4), f5_(f5), f6_(f6), f7_(f7), f8_(f8), f9_(f9) {} tuple(const tuple& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_), f6_(t.f6_), f7_(t.f7_), f8_(t.f8_), f9_(t.f9_) {} template tuple(const GTEST_10_TUPLE_(U)& t) : f0_(t.f0_), f1_(t.f1_), f2_(t.f2_), f3_(t.f3_), f4_(t.f4_), f5_(t.f5_), f6_(t.f6_), f7_(t.f7_), f8_(t.f8_), f9_(t.f9_) {} tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_10_TUPLE_(U)& t) { return CopyFrom(t); } GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_10_TUPLE_(U)& t) { f0_ = t.f0_; f1_ = t.f1_; f2_ = t.f2_; f3_ = t.f3_; f4_ = t.f4_; f5_ = t.f5_; f6_ = t.f6_; f7_ = t.f7_; f8_ = t.f8_; f9_ = t.f9_; return *this; } T0 f0_; T1 f1_; T2 f2_; T3 f3_; T4 f4_; T5 f5_; T6 f6_; T7 f7_; T8 f8_; T9 f9_; }; // 6.1.3.2 Tuple creation functions. // Known limitations: we don't support passing an // std::tr1::reference_wrapper to make_tuple(). And we don't // implement tie(). inline tuple<> make_tuple() { return tuple<>(); } template inline GTEST_1_TUPLE_(T) make_tuple(const T0& f0) { return GTEST_1_TUPLE_(T)(f0); } template inline GTEST_2_TUPLE_(T) make_tuple(const T0& f0, const T1& f1) { return GTEST_2_TUPLE_(T)(f0, f1); } template inline GTEST_3_TUPLE_(T) make_tuple(const T0& f0, const T1& f1, const T2& f2) { return GTEST_3_TUPLE_(T)(f0, f1, f2); } template inline GTEST_4_TUPLE_(T) make_tuple(const T0& f0, const T1& f1, const T2& f2, const T3& f3) { return GTEST_4_TUPLE_(T)(f0, f1, f2, f3); } template inline GTEST_5_TUPLE_(T) make_tuple(const T0& f0, const T1& f1, const T2& f2, const T3& f3, const T4& f4) { return GTEST_5_TUPLE_(T)(f0, f1, f2, f3, f4); } template inline GTEST_6_TUPLE_(T) make_tuple(const T0& f0, const T1& f1, const T2& f2, const T3& f3, const T4& f4, const T5& f5) { return GTEST_6_TUPLE_(T)(f0, f1, f2, f3, f4, f5); } template inline GTEST_7_TUPLE_(T) make_tuple(const T0& f0, const T1& f1, const T2& f2, const T3& f3, const T4& f4, const T5& f5, const T6& f6) { return GTEST_7_TUPLE_(T)(f0, f1, f2, f3, f4, f5, f6); } template inline GTEST_8_TUPLE_(T) make_tuple(const T0& f0, const T1& f1, const T2& f2, const T3& f3, const T4& f4, const T5& f5, const T6& f6, const T7& f7) { return GTEST_8_TUPLE_(T)(f0, f1, f2, f3, f4, f5, f6, f7); } template inline GTEST_9_TUPLE_(T) make_tuple(const T0& f0, const T1& f1, const T2& f2, const T3& f3, const T4& f4, const T5& f5, const T6& f6, const T7& f7, const T8& f8) { return GTEST_9_TUPLE_(T)(f0, f1, f2, f3, f4, f5, f6, f7, f8); } template inline GTEST_10_TUPLE_(T) make_tuple(const T0& f0, const T1& f1, const T2& f2, const T3& f3, const T4& f4, const T5& f5, const T6& f6, const T7& f7, const T8& f8, const T9& f9) { return GTEST_10_TUPLE_(T)(f0, f1, f2, f3, f4, f5, f6, f7, f8, f9); } // 6.1.3.3 Tuple helper classes. template struct tuple_size; template struct tuple_size { static const int value = 0; }; template struct tuple_size { static const int value = 1; }; template struct tuple_size { static const int value = 2; }; template struct tuple_size { static const int value = 3; }; template struct tuple_size { static const int value = 4; }; template struct tuple_size { static const int value = 5; }; template struct tuple_size { static const int value = 6; }; template struct tuple_size { static const int value = 7; }; template struct tuple_size { static const int value = 8; }; template struct tuple_size { static const int value = 9; }; template struct tuple_size { static const int value = 10; }; template struct tuple_element { typedef typename gtest_internal::TupleElement< k < (tuple_size::value), k, Tuple>::type type; }; #define GTEST_TUPLE_ELEMENT_(k, Tuple) typename tuple_element::type // 6.1.3.4 Element access. namespace gtest_internal { template <> class Get<0> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(0, Tuple)) Field(Tuple& t) { return t.f0_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(0, Tuple)) ConstField(const Tuple& t) { return t.f0_; } }; template <> class Get<1> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(1, Tuple)) Field(Tuple& t) { return t.f1_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(1, Tuple)) ConstField(const Tuple& t) { return t.f1_; } }; template <> class Get<2> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(2, Tuple)) Field(Tuple& t) { return t.f2_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(2, Tuple)) ConstField(const Tuple& t) { return t.f2_; } }; template <> class Get<3> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(3, Tuple)) Field(Tuple& t) { return t.f3_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(3, Tuple)) ConstField(const Tuple& t) { return t.f3_; } }; template <> class Get<4> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(4, Tuple)) Field(Tuple& t) { return t.f4_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(4, Tuple)) ConstField(const Tuple& t) { return t.f4_; } }; template <> class Get<5> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(5, Tuple)) Field(Tuple& t) { return t.f5_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(5, Tuple)) ConstField(const Tuple& t) { return t.f5_; } }; template <> class Get<6> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(6, Tuple)) Field(Tuple& t) { return t.f6_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(6, Tuple)) ConstField(const Tuple& t) { return t.f6_; } }; template <> class Get<7> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(7, Tuple)) Field(Tuple& t) { return t.f7_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(7, Tuple)) ConstField(const Tuple& t) { return t.f7_; } }; template <> class Get<8> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(8, Tuple)) Field(Tuple& t) { return t.f8_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(8, Tuple)) ConstField(const Tuple& t) { return t.f8_; } }; template <> class Get<9> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(9, Tuple)) Field(Tuple& t) { return t.f9_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(9, Tuple)) ConstField(const Tuple& t) { return t.f9_; } }; } // namespace gtest_internal template GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(k, GTEST_10_TUPLE_(T))) get(GTEST_10_TUPLE_(T)& t) { return gtest_internal::Get::Field(t); } template GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(k, GTEST_10_TUPLE_(T))) get(const GTEST_10_TUPLE_(T)& t) { return gtest_internal::Get::ConstField(t); } // 6.1.3.5 Relational operators // We only implement == and !=, as we don't have a need for the rest yet. namespace gtest_internal { // SameSizeTuplePrefixComparator::Eq(t1, t2) returns true if the // first k fields of t1 equals the first k fields of t2. // SameSizeTuplePrefixComparator(k1, k2) would be a compiler error if // k1 != k2. template struct SameSizeTuplePrefixComparator; template <> struct SameSizeTuplePrefixComparator<0, 0> { template static bool Eq(const Tuple1& /* t1 */, const Tuple2& /* t2 */) { return true; } }; template struct SameSizeTuplePrefixComparator { template static bool Eq(const Tuple1& t1, const Tuple2& t2) { return SameSizeTuplePrefixComparator::Eq(t1, t2) && ::std::tr1::get(t1) == ::std::tr1::get(t2); } }; } // namespace gtest_internal template inline bool operator==(const GTEST_10_TUPLE_(T)& t, const GTEST_10_TUPLE_(U)& u) { return gtest_internal::SameSizeTuplePrefixComparator< tuple_size::value, tuple_size::value>::Eq(t, u); } template inline bool operator!=(const GTEST_10_TUPLE_(T)& t, const GTEST_10_TUPLE_(U)& u) { return !(t == u); } // 6.1.4 Pairs. // Unimplemented. } // namespace tr1 } // namespace std #undef GTEST_0_TUPLE_ #undef GTEST_1_TUPLE_ #undef GTEST_2_TUPLE_ #undef GTEST_3_TUPLE_ #undef GTEST_4_TUPLE_ #undef GTEST_5_TUPLE_ #undef GTEST_6_TUPLE_ #undef GTEST_7_TUPLE_ #undef GTEST_8_TUPLE_ #undef GTEST_9_TUPLE_ #undef GTEST_10_TUPLE_ #undef GTEST_0_TYPENAMES_ #undef GTEST_1_TYPENAMES_ #undef GTEST_2_TYPENAMES_ #undef GTEST_3_TYPENAMES_ #undef GTEST_4_TYPENAMES_ #undef GTEST_5_TYPENAMES_ #undef GTEST_6_TYPENAMES_ #undef GTEST_7_TYPENAMES_ #undef GTEST_8_TYPENAMES_ #undef GTEST_9_TYPENAMES_ #undef GTEST_10_TYPENAMES_ #undef GTEST_DECLARE_TUPLE_AS_FRIEND_ #undef GTEST_BY_REF_ #undef GTEST_ADD_REF_ #undef GTEST_TUPLE_ELEMENT_ #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TUPLE_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-tuple.h.pump0000644000175100017510000002262415112307767027417 0ustar00runnerrunner$$ -*- mode: c++; -*- $var n = 10 $$ Maximum number of tuple fields we want to support. $$ This meta comment fixes auto-indentation in Emacs. }} // Copyright 2009 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // Implements a subset of TR1 tuple needed by Google Test and Google Mock. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TUPLE_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TUPLE_H_ #include // For ::std::pair. // The compiler used in Symbian has a bug that prevents us from declaring the // tuple template as a friend (it complains that tuple is redefined). This // hack bypasses the bug by declaring the members that should otherwise be // private as public. // Sun Studio versions < 12 also have the above bug. #if defined(__SYMBIAN32__) || (defined(__SUNPRO_CC) && __SUNPRO_CC < 0x590) # define GTEST_DECLARE_TUPLE_AS_FRIEND_ public: #else # define GTEST_DECLARE_TUPLE_AS_FRIEND_ \ template friend class tuple; \ private: #endif // Visual Studio 2010, 2012, and 2013 define symbols in std::tr1 that conflict // with our own definitions. Therefore using our own tuple does not work on // those compilers. #if defined(_MSC_VER) && _MSC_VER >= 1600 /* 1600 is Visual Studio 2010 */ # error "gtest's tuple doesn't compile on Visual Studio 2010 or later. \ GTEST_USE_OWN_TR1_TUPLE must be set to 0 on those compilers." #endif $range i 0..n-1 $range j 0..n $range k 1..n // GTEST_n_TUPLE_(T) is the type of an n-tuple. #define GTEST_0_TUPLE_(T) tuple<> $for k [[ $range m 0..k-1 $range m2 k..n-1 #define GTEST_$(k)_TUPLE_(T) tuple<$for m, [[T##$m]]$for m2 [[, void]]> ]] // GTEST_n_TYPENAMES_(T) declares a list of n typenames. $for j [[ $range m 0..j-1 #define GTEST_$(j)_TYPENAMES_(T) $for m, [[typename T##$m]] ]] // In theory, defining stuff in the ::std namespace is undefined // behavior. We can do this as we are playing the role of a standard // library vendor. namespace std { namespace tr1 { template <$for i, [[typename T$i = void]]> class tuple; // Anything in namespace gtest_internal is Google Test's INTERNAL // IMPLEMENTATION DETAIL and MUST NOT BE USED DIRECTLY in user code. namespace gtest_internal { // ByRef::type is T if T is a reference; otherwise it's const T&. template struct ByRef { typedef const T& type; }; // NOLINT template struct ByRef { typedef T& type; }; // NOLINT // A handy wrapper for ByRef. #define GTEST_BY_REF_(T) typename ::std::tr1::gtest_internal::ByRef::type // AddRef::type is T if T is a reference; otherwise it's T&. This // is the same as tr1::add_reference::type. template struct AddRef { typedef T& type; }; // NOLINT template struct AddRef { typedef T& type; }; // NOLINT // A handy wrapper for AddRef. #define GTEST_ADD_REF_(T) typename ::std::tr1::gtest_internal::AddRef::type // A helper for implementing get(). template class Get; // A helper for implementing tuple_element. kIndexValid is true // iff k < the number of fields in tuple type T. template struct TupleElement; $for i [[ template struct TupleElement { typedef T$i type; }; ]] } // namespace gtest_internal template <> class tuple<> { public: tuple() {} tuple(const tuple& /* t */) {} tuple& operator=(const tuple& /* t */) { return *this; } }; $for k [[ $range m 0..k-1 template class $if k < n [[GTEST_$(k)_TUPLE_(T)]] $else [[tuple]] { public: template friend class gtest_internal::Get; tuple() : $for m, [[f$(m)_()]] {} explicit tuple($for m, [[GTEST_BY_REF_(T$m) f$m]]) : [[]] $for m, [[f$(m)_(f$m)]] {} tuple(const tuple& t) : $for m, [[f$(m)_(t.f$(m)_)]] {} template tuple(const GTEST_$(k)_TUPLE_(U)& t) : $for m, [[f$(m)_(t.f$(m)_)]] {} $if k == 2 [[ template tuple(const ::std::pair& p) : f0_(p.first), f1_(p.second) {} ]] tuple& operator=(const tuple& t) { return CopyFrom(t); } template tuple& operator=(const GTEST_$(k)_TUPLE_(U)& t) { return CopyFrom(t); } $if k == 2 [[ template tuple& operator=(const ::std::pair& p) { f0_ = p.first; f1_ = p.second; return *this; } ]] GTEST_DECLARE_TUPLE_AS_FRIEND_ template tuple& CopyFrom(const GTEST_$(k)_TUPLE_(U)& t) { $for m [[ f$(m)_ = t.f$(m)_; ]] return *this; } $for m [[ T$m f$(m)_; ]] }; ]] // 6.1.3.2 Tuple creation functions. // Known limitations: we don't support passing an // std::tr1::reference_wrapper to make_tuple(). And we don't // implement tie(). inline tuple<> make_tuple() { return tuple<>(); } $for k [[ $range m 0..k-1 template inline GTEST_$(k)_TUPLE_(T) make_tuple($for m, [[const T$m& f$m]]) { return GTEST_$(k)_TUPLE_(T)($for m, [[f$m]]); } ]] // 6.1.3.3 Tuple helper classes. template struct tuple_size; $for j [[ template struct tuple_size { static const int value = $j; }; ]] template struct tuple_element { typedef typename gtest_internal::TupleElement< k < (tuple_size::value), k, Tuple>::type type; }; #define GTEST_TUPLE_ELEMENT_(k, Tuple) typename tuple_element::type // 6.1.3.4 Element access. namespace gtest_internal { $for i [[ template <> class Get<$i> { public: template static GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_($i, Tuple)) Field(Tuple& t) { return t.f$(i)_; } // NOLINT template static GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_($i, Tuple)) ConstField(const Tuple& t) { return t.f$(i)_; } }; ]] } // namespace gtest_internal template GTEST_ADD_REF_(GTEST_TUPLE_ELEMENT_(k, GTEST_$(n)_TUPLE_(T))) get(GTEST_$(n)_TUPLE_(T)& t) { return gtest_internal::Get::Field(t); } template GTEST_BY_REF_(GTEST_TUPLE_ELEMENT_(k, GTEST_$(n)_TUPLE_(T))) get(const GTEST_$(n)_TUPLE_(T)& t) { return gtest_internal::Get::ConstField(t); } // 6.1.3.5 Relational operators // We only implement == and !=, as we don't have a need for the rest yet. namespace gtest_internal { // SameSizeTuplePrefixComparator::Eq(t1, t2) returns true if the // first k fields of t1 equals the first k fields of t2. // SameSizeTuplePrefixComparator(k1, k2) would be a compiler error if // k1 != k2. template struct SameSizeTuplePrefixComparator; template <> struct SameSizeTuplePrefixComparator<0, 0> { template static bool Eq(const Tuple1& /* t1 */, const Tuple2& /* t2 */) { return true; } }; template struct SameSizeTuplePrefixComparator { template static bool Eq(const Tuple1& t1, const Tuple2& t2) { return SameSizeTuplePrefixComparator::Eq(t1, t2) && ::std::tr1::get(t1) == ::std::tr1::get(t2); } }; } // namespace gtest_internal template inline bool operator==(const GTEST_$(n)_TUPLE_(T)& t, const GTEST_$(n)_TUPLE_(U)& u) { return gtest_internal::SameSizeTuplePrefixComparator< tuple_size::value, tuple_size::value>::Eq(t, u); } template inline bool operator!=(const GTEST_$(n)_TUPLE_(T)& t, const GTEST_$(n)_TUPLE_(U)& u) { return !(t == u); } // 6.1.4 Pairs. // Unimplemented. } // namespace tr1 } // namespace std $for j [[ #undef GTEST_$(j)_TUPLE_ ]] $for j [[ #undef GTEST_$(j)_TYPENAMES_ ]] #undef GTEST_DECLARE_TUPLE_AS_FRIEND_ #undef GTEST_BY_REF_ #undef GTEST_ADD_REF_ #undef GTEST_TUPLE_ELEMENT_ #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TUPLE_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-type-util.h0000644000175100017510000055250215112307767027245 0ustar00runnerrunner// This file was GENERATED by command: // pump.py gtest-type-util.h.pump // DO NOT EDIT BY HAND!!! // Copyright 2008 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // Type utilities needed for implementing typed and type-parameterized // tests. This file is generated by a SCRIPT. DO NOT EDIT BY HAND! // // Currently we support at most 50 types in a list, and at most 50 // type-parameterized tests in one type-parameterized test case. // Please contact googletestframework@googlegroups.com if you need // more. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TYPE_UTIL_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TYPE_UTIL_H_ #include "gtest/internal/gtest-port.h" // #ifdef __GNUC__ is too general here. It is possible to use gcc without using // libstdc++ (which is where cxxabi.h comes from). # if GTEST_HAS_CXXABI_H_ # include # elif defined(__HP_aCC) # include # endif // GTEST_HASH_CXXABI_H_ namespace testing { namespace internal { // GetTypeName() returns a human-readable name of type T. // NB: This function is also used in Google Mock, so don't move it inside of // the typed-test-only section below. template std::string GetTypeName() { # if GTEST_HAS_RTTI const char* const name = typeid(T).name(); # if GTEST_HAS_CXXABI_H_ || defined(__HP_aCC) int status = 0; // gcc's implementation of typeid(T).name() mangles the type name, // so we have to demangle it. # if GTEST_HAS_CXXABI_H_ using abi::__cxa_demangle; # endif // GTEST_HAS_CXXABI_H_ char* const readable_name = __cxa_demangle(name, 0, 0, &status); const std::string name_str(status == 0 ? readable_name : name); free(readable_name); return name_str; # else return name; # endif // GTEST_HAS_CXXABI_H_ || __HP_aCC # else return ""; # endif // GTEST_HAS_RTTI } #if GTEST_HAS_TYPED_TEST || GTEST_HAS_TYPED_TEST_P // AssertyTypeEq::type is defined iff T1 and T2 are the same // type. This can be used as a compile-time assertion to ensure that // two types are equal. template struct AssertTypeEq; template struct AssertTypeEq { typedef bool type; }; // A unique type used as the default value for the arguments of class // template Types. This allows us to simulate variadic templates // (e.g. Types, Type, and etc), which C++ doesn't // support directly. struct None {}; // The following family of struct and struct templates are used to // represent type lists. In particular, TypesN // represents a type list with N types (T1, T2, ..., and TN) in it. // Except for Types0, every struct in the family has two member types: // Head for the first type in the list, and Tail for the rest of the // list. // The empty type list. struct Types0 {}; // Type lists of length 1, 2, 3, and so on. template struct Types1 { typedef T1 Head; typedef Types0 Tail; }; template struct Types2 { typedef T1 Head; typedef Types1 Tail; }; template struct Types3 { typedef T1 Head; typedef Types2 Tail; }; template struct Types4 { typedef T1 Head; typedef Types3 Tail; }; template struct Types5 { typedef T1 Head; typedef Types4 Tail; }; template struct Types6 { typedef T1 Head; typedef Types5 Tail; }; template struct Types7 { typedef T1 Head; typedef Types6 Tail; }; template struct Types8 { typedef T1 Head; typedef Types7 Tail; }; template struct Types9 { typedef T1 Head; typedef Types8 Tail; }; template struct Types10 { typedef T1 Head; typedef Types9 Tail; }; template struct Types11 { typedef T1 Head; typedef Types10 Tail; }; template struct Types12 { typedef T1 Head; typedef Types11 Tail; }; template struct Types13 { typedef T1 Head; typedef Types12 Tail; }; template struct Types14 { typedef T1 Head; typedef Types13 Tail; }; template struct Types15 { typedef T1 Head; typedef Types14 Tail; }; template struct Types16 { typedef T1 Head; typedef Types15 Tail; }; template struct Types17 { typedef T1 Head; typedef Types16 Tail; }; template struct Types18 { typedef T1 Head; typedef Types17 Tail; }; template struct Types19 { typedef T1 Head; typedef Types18 Tail; }; template struct Types20 { typedef T1 Head; typedef Types19 Tail; }; template struct Types21 { typedef T1 Head; typedef Types20 Tail; }; template struct Types22 { typedef T1 Head; typedef Types21 Tail; }; template struct Types23 { typedef T1 Head; typedef Types22 Tail; }; template struct Types24 { typedef T1 Head; typedef Types23 Tail; }; template struct Types25 { typedef T1 Head; typedef Types24 Tail; }; template struct Types26 { typedef T1 Head; typedef Types25 Tail; }; template struct Types27 { typedef T1 Head; typedef Types26 Tail; }; template struct Types28 { typedef T1 Head; typedef Types27 Tail; }; template struct Types29 { typedef T1 Head; typedef Types28 Tail; }; template struct Types30 { typedef T1 Head; typedef Types29 Tail; }; template struct Types31 { typedef T1 Head; typedef Types30 Tail; }; template struct Types32 { typedef T1 Head; typedef Types31 Tail; }; template struct Types33 { typedef T1 Head; typedef Types32 Tail; }; template struct Types34 { typedef T1 Head; typedef Types33 Tail; }; template struct Types35 { typedef T1 Head; typedef Types34 Tail; }; template struct Types36 { typedef T1 Head; typedef Types35 Tail; }; template struct Types37 { typedef T1 Head; typedef Types36 Tail; }; template struct Types38 { typedef T1 Head; typedef Types37 Tail; }; template struct Types39 { typedef T1 Head; typedef Types38 Tail; }; template struct Types40 { typedef T1 Head; typedef Types39 Tail; }; template struct Types41 { typedef T1 Head; typedef Types40 Tail; }; template struct Types42 { typedef T1 Head; typedef Types41 Tail; }; template struct Types43 { typedef T1 Head; typedef Types42 Tail; }; template struct Types44 { typedef T1 Head; typedef Types43 Tail; }; template struct Types45 { typedef T1 Head; typedef Types44 Tail; }; template struct Types46 { typedef T1 Head; typedef Types45 Tail; }; template struct Types47 { typedef T1 Head; typedef Types46 Tail; }; template struct Types48 { typedef T1 Head; typedef Types47 Tail; }; template struct Types49 { typedef T1 Head; typedef Types48 Tail; }; template struct Types50 { typedef T1 Head; typedef Types49 Tail; }; } // namespace internal // We don't want to require the users to write TypesN<...> directly, // as that would require them to count the length. Types<...> is much // easier to write, but generates horrible messages when there is a // compiler error, as gcc insists on printing out each template // argument, even if it has the default value (this means Types // will appear as Types in the compiler // errors). // // Our solution is to combine the best part of the two approaches: a // user would write Types, and Google Test will translate // that to TypesN internally to make error messages // readable. The translation is done by the 'type' member of the // Types template. template struct Types { typedef internal::Types50 type; }; template <> struct Types { typedef internal::Types0 type; }; template struct Types { typedef internal::Types1 type; }; template struct Types { typedef internal::Types2 type; }; template struct Types { typedef internal::Types3 type; }; template struct Types { typedef internal::Types4 type; }; template struct Types { typedef internal::Types5 type; }; template struct Types { typedef internal::Types6 type; }; template struct Types { typedef internal::Types7 type; }; template struct Types { typedef internal::Types8 type; }; template struct Types { typedef internal::Types9 type; }; template struct Types { typedef internal::Types10 type; }; template struct Types { typedef internal::Types11 type; }; template struct Types { typedef internal::Types12 type; }; template struct Types { typedef internal::Types13 type; }; template struct Types { typedef internal::Types14 type; }; template struct Types { typedef internal::Types15 type; }; template struct Types { typedef internal::Types16 type; }; template struct Types { typedef internal::Types17 type; }; template struct Types { typedef internal::Types18 type; }; template struct Types { typedef internal::Types19 type; }; template struct Types { typedef internal::Types20 type; }; template struct Types { typedef internal::Types21 type; }; template struct Types { typedef internal::Types22 type; }; template struct Types { typedef internal::Types23 type; }; template struct Types { typedef internal::Types24 type; }; template struct Types { typedef internal::Types25 type; }; template struct Types { typedef internal::Types26 type; }; template struct Types { typedef internal::Types27 type; }; template struct Types { typedef internal::Types28 type; }; template struct Types { typedef internal::Types29 type; }; template struct Types { typedef internal::Types30 type; }; template struct Types { typedef internal::Types31 type; }; template struct Types { typedef internal::Types32 type; }; template struct Types { typedef internal::Types33 type; }; template struct Types { typedef internal::Types34 type; }; template struct Types { typedef internal::Types35 type; }; template struct Types { typedef internal::Types36 type; }; template struct Types { typedef internal::Types37 type; }; template struct Types { typedef internal::Types38 type; }; template struct Types { typedef internal::Types39 type; }; template struct Types { typedef internal::Types40 type; }; template struct Types { typedef internal::Types41 type; }; template struct Types { typedef internal::Types42 type; }; template struct Types { typedef internal::Types43 type; }; template struct Types { typedef internal::Types44 type; }; template struct Types { typedef internal::Types45 type; }; template struct Types { typedef internal::Types46 type; }; template struct Types { typedef internal::Types47 type; }; template struct Types { typedef internal::Types48 type; }; template struct Types { typedef internal::Types49 type; }; namespace internal { # define GTEST_TEMPLATE_ template class // The template "selector" struct TemplateSel is used to // represent Tmpl, which must be a class template with one type // parameter, as a type. TemplateSel::Bind::type is defined // as the type Tmpl. This allows us to actually instantiate the // template "selected" by TemplateSel. // // This trick is necessary for simulating typedef for class templates, // which C++ doesn't support directly. template struct TemplateSel { template struct Bind { typedef Tmpl type; }; }; # define GTEST_BIND_(TmplSel, T) \ TmplSel::template Bind::type // A unique struct template used as the default value for the // arguments of class template Templates. This allows us to simulate // variadic templates (e.g. Templates, Templates, // and etc), which C++ doesn't support directly. template struct NoneT {}; // The following family of struct and struct templates are used to // represent template lists. In particular, TemplatesN represents a list of N templates (T1, T2, ..., and TN). Except // for Templates0, every struct in the family has two member types: // Head for the selector of the first template in the list, and Tail // for the rest of the list. // The empty template list. struct Templates0 {}; // Template lists of length 1, 2, 3, and so on. template struct Templates1 { typedef TemplateSel Head; typedef Templates0 Tail; }; template struct Templates2 { typedef TemplateSel Head; typedef Templates1 Tail; }; template struct Templates3 { typedef TemplateSel Head; typedef Templates2 Tail; }; template struct Templates4 { typedef TemplateSel Head; typedef Templates3 Tail; }; template struct Templates5 { typedef TemplateSel Head; typedef Templates4 Tail; }; template struct Templates6 { typedef TemplateSel Head; typedef Templates5 Tail; }; template struct Templates7 { typedef TemplateSel Head; typedef Templates6 Tail; }; template struct Templates8 { typedef TemplateSel Head; typedef Templates7 Tail; }; template struct Templates9 { typedef TemplateSel Head; typedef Templates8 Tail; }; template struct Templates10 { typedef TemplateSel Head; typedef Templates9 Tail; }; template struct Templates11 { typedef TemplateSel Head; typedef Templates10 Tail; }; template struct Templates12 { typedef TemplateSel Head; typedef Templates11 Tail; }; template struct Templates13 { typedef TemplateSel Head; typedef Templates12 Tail; }; template struct Templates14 { typedef TemplateSel Head; typedef Templates13 Tail; }; template struct Templates15 { typedef TemplateSel Head; typedef Templates14 Tail; }; template struct Templates16 { typedef TemplateSel Head; typedef Templates15 Tail; }; template struct Templates17 { typedef TemplateSel Head; typedef Templates16 Tail; }; template struct Templates18 { typedef TemplateSel Head; typedef Templates17 Tail; }; template struct Templates19 { typedef TemplateSel Head; typedef Templates18 Tail; }; template struct Templates20 { typedef TemplateSel Head; typedef Templates19 Tail; }; template struct Templates21 { typedef TemplateSel Head; typedef Templates20 Tail; }; template struct Templates22 { typedef TemplateSel Head; typedef Templates21 Tail; }; template struct Templates23 { typedef TemplateSel Head; typedef Templates22 Tail; }; template struct Templates24 { typedef TemplateSel Head; typedef Templates23 Tail; }; template struct Templates25 { typedef TemplateSel Head; typedef Templates24 Tail; }; template struct Templates26 { typedef TemplateSel Head; typedef Templates25 Tail; }; template struct Templates27 { typedef TemplateSel Head; typedef Templates26 Tail; }; template struct Templates28 { typedef TemplateSel Head; typedef Templates27 Tail; }; template struct Templates29 { typedef TemplateSel Head; typedef Templates28 Tail; }; template struct Templates30 { typedef TemplateSel Head; typedef Templates29 Tail; }; template struct Templates31 { typedef TemplateSel Head; typedef Templates30 Tail; }; template struct Templates32 { typedef TemplateSel Head; typedef Templates31 Tail; }; template struct Templates33 { typedef TemplateSel Head; typedef Templates32 Tail; }; template struct Templates34 { typedef TemplateSel Head; typedef Templates33 Tail; }; template struct Templates35 { typedef TemplateSel Head; typedef Templates34 Tail; }; template struct Templates36 { typedef TemplateSel Head; typedef Templates35 Tail; }; template struct Templates37 { typedef TemplateSel Head; typedef Templates36 Tail; }; template struct Templates38 { typedef TemplateSel Head; typedef Templates37 Tail; }; template struct Templates39 { typedef TemplateSel Head; typedef Templates38 Tail; }; template struct Templates40 { typedef TemplateSel Head; typedef Templates39 Tail; }; template struct Templates41 { typedef TemplateSel Head; typedef Templates40 Tail; }; template struct Templates42 { typedef TemplateSel Head; typedef Templates41 Tail; }; template struct Templates43 { typedef TemplateSel Head; typedef Templates42 Tail; }; template struct Templates44 { typedef TemplateSel Head; typedef Templates43 Tail; }; template struct Templates45 { typedef TemplateSel Head; typedef Templates44 Tail; }; template struct Templates46 { typedef TemplateSel Head; typedef Templates45 Tail; }; template struct Templates47 { typedef TemplateSel Head; typedef Templates46 Tail; }; template struct Templates48 { typedef TemplateSel Head; typedef Templates47 Tail; }; template struct Templates49 { typedef TemplateSel Head; typedef Templates48 Tail; }; template struct Templates50 { typedef TemplateSel Head; typedef Templates49 Tail; }; // We don't want to require the users to write TemplatesN<...> directly, // as that would require them to count the length. Templates<...> is much // easier to write, but generates horrible messages when there is a // compiler error, as gcc insists on printing out each template // argument, even if it has the default value (this means Templates // will appear as Templates in the compiler // errors). // // Our solution is to combine the best part of the two approaches: a // user would write Templates, and Google Test will translate // that to TemplatesN internally to make error messages // readable. The translation is done by the 'type' member of the // Templates template. template struct Templates { typedef Templates50 type; }; template <> struct Templates { typedef Templates0 type; }; template struct Templates { typedef Templates1 type; }; template struct Templates { typedef Templates2 type; }; template struct Templates { typedef Templates3 type; }; template struct Templates { typedef Templates4 type; }; template struct Templates { typedef Templates5 type; }; template struct Templates { typedef Templates6 type; }; template struct Templates { typedef Templates7 type; }; template struct Templates { typedef Templates8 type; }; template struct Templates { typedef Templates9 type; }; template struct Templates { typedef Templates10 type; }; template struct Templates { typedef Templates11 type; }; template struct Templates { typedef Templates12 type; }; template struct Templates { typedef Templates13 type; }; template struct Templates { typedef Templates14 type; }; template struct Templates { typedef Templates15 type; }; template struct Templates { typedef Templates16 type; }; template struct Templates { typedef Templates17 type; }; template struct Templates { typedef Templates18 type; }; template struct Templates { typedef Templates19 type; }; template struct Templates { typedef Templates20 type; }; template struct Templates { typedef Templates21 type; }; template struct Templates { typedef Templates22 type; }; template struct Templates { typedef Templates23 type; }; template struct Templates { typedef Templates24 type; }; template struct Templates { typedef Templates25 type; }; template struct Templates { typedef Templates26 type; }; template struct Templates { typedef Templates27 type; }; template struct Templates { typedef Templates28 type; }; template struct Templates { typedef Templates29 type; }; template struct Templates { typedef Templates30 type; }; template struct Templates { typedef Templates31 type; }; template struct Templates { typedef Templates32 type; }; template struct Templates { typedef Templates33 type; }; template struct Templates { typedef Templates34 type; }; template struct Templates { typedef Templates35 type; }; template struct Templates { typedef Templates36 type; }; template struct Templates { typedef Templates37 type; }; template struct Templates { typedef Templates38 type; }; template struct Templates { typedef Templates39 type; }; template struct Templates { typedef Templates40 type; }; template struct Templates { typedef Templates41 type; }; template struct Templates { typedef Templates42 type; }; template struct Templates { typedef Templates43 type; }; template struct Templates { typedef Templates44 type; }; template struct Templates { typedef Templates45 type; }; template struct Templates { typedef Templates46 type; }; template struct Templates { typedef Templates47 type; }; template struct Templates { typedef Templates48 type; }; template struct Templates { typedef Templates49 type; }; // The TypeList template makes it possible to use either a single type // or a Types<...> list in TYPED_TEST_CASE() and // INSTANTIATE_TYPED_TEST_CASE_P(). template struct TypeList { typedef Types1 type; }; template struct TypeList > { typedef typename Types::type type; }; #endif // GTEST_HAS_TYPED_TEST || GTEST_HAS_TYPED_TEST_P } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TYPE_UTIL_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/include/gtest/internal/gtest-type-util.h.pump0000644000175100017510000002214515112307767030220 0ustar00runnerrunner$$ -*- mode: c++; -*- $var n = 50 $$ Maximum length of type lists we want to support. // Copyright 2008 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // Type utilities needed for implementing typed and type-parameterized // tests. This file is generated by a SCRIPT. DO NOT EDIT BY HAND! // // Currently we support at most $n types in a list, and at most $n // type-parameterized tests in one type-parameterized test case. // Please contact googletestframework@googlegroups.com if you need // more. #ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TYPE_UTIL_H_ #define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TYPE_UTIL_H_ #include "gtest/internal/gtest-port.h" // #ifdef __GNUC__ is too general here. It is possible to use gcc without using // libstdc++ (which is where cxxabi.h comes from). # if GTEST_HAS_CXXABI_H_ # include # elif defined(__HP_aCC) # include # endif // GTEST_HASH_CXXABI_H_ namespace testing { namespace internal { // GetTypeName() returns a human-readable name of type T. // NB: This function is also used in Google Mock, so don't move it inside of // the typed-test-only section below. template std::string GetTypeName() { # if GTEST_HAS_RTTI const char* const name = typeid(T).name(); # if GTEST_HAS_CXXABI_H_ || defined(__HP_aCC) int status = 0; // gcc's implementation of typeid(T).name() mangles the type name, // so we have to demangle it. # if GTEST_HAS_CXXABI_H_ using abi::__cxa_demangle; # endif // GTEST_HAS_CXXABI_H_ char* const readable_name = __cxa_demangle(name, 0, 0, &status); const std::string name_str(status == 0 ? readable_name : name); free(readable_name); return name_str; # else return name; # endif // GTEST_HAS_CXXABI_H_ || __HP_aCC # else return ""; # endif // GTEST_HAS_RTTI } #if GTEST_HAS_TYPED_TEST || GTEST_HAS_TYPED_TEST_P // AssertyTypeEq::type is defined iff T1 and T2 are the same // type. This can be used as a compile-time assertion to ensure that // two types are equal. template struct AssertTypeEq; template struct AssertTypeEq { typedef bool type; }; // A unique type used as the default value for the arguments of class // template Types. This allows us to simulate variadic templates // (e.g. Types, Type, and etc), which C++ doesn't // support directly. struct None {}; // The following family of struct and struct templates are used to // represent type lists. In particular, TypesN // represents a type list with N types (T1, T2, ..., and TN) in it. // Except for Types0, every struct in the family has two member types: // Head for the first type in the list, and Tail for the rest of the // list. // The empty type list. struct Types0 {}; // Type lists of length 1, 2, 3, and so on. template struct Types1 { typedef T1 Head; typedef Types0 Tail; }; $range i 2..n $for i [[ $range j 1..i $range k 2..i template <$for j, [[typename T$j]]> struct Types$i { typedef T1 Head; typedef Types$(i-1)<$for k, [[T$k]]> Tail; }; ]] } // namespace internal // We don't want to require the users to write TypesN<...> directly, // as that would require them to count the length. Types<...> is much // easier to write, but generates horrible messages when there is a // compiler error, as gcc insists on printing out each template // argument, even if it has the default value (this means Types // will appear as Types in the compiler // errors). // // Our solution is to combine the best part of the two approaches: a // user would write Types, and Google Test will translate // that to TypesN internally to make error messages // readable. The translation is done by the 'type' member of the // Types template. $range i 1..n template <$for i, [[typename T$i = internal::None]]> struct Types { typedef internal::Types$n<$for i, [[T$i]]> type; }; template <> struct Types<$for i, [[internal::None]]> { typedef internal::Types0 type; }; $range i 1..n-1 $for i [[ $range j 1..i $range k i+1..n template <$for j, [[typename T$j]]> struct Types<$for j, [[T$j]]$for k[[, internal::None]]> { typedef internal::Types$i<$for j, [[T$j]]> type; }; ]] namespace internal { # define GTEST_TEMPLATE_ template class // The template "selector" struct TemplateSel is used to // represent Tmpl, which must be a class template with one type // parameter, as a type. TemplateSel::Bind::type is defined // as the type Tmpl. This allows us to actually instantiate the // template "selected" by TemplateSel. // // This trick is necessary for simulating typedef for class templates, // which C++ doesn't support directly. template struct TemplateSel { template struct Bind { typedef Tmpl type; }; }; # define GTEST_BIND_(TmplSel, T) \ TmplSel::template Bind::type // A unique struct template used as the default value for the // arguments of class template Templates. This allows us to simulate // variadic templates (e.g. Templates, Templates, // and etc), which C++ doesn't support directly. template struct NoneT {}; // The following family of struct and struct templates are used to // represent template lists. In particular, TemplatesN represents a list of N templates (T1, T2, ..., and TN). Except // for Templates0, every struct in the family has two member types: // Head for the selector of the first template in the list, and Tail // for the rest of the list. // The empty template list. struct Templates0 {}; // Template lists of length 1, 2, 3, and so on. template struct Templates1 { typedef TemplateSel Head; typedef Templates0 Tail; }; $range i 2..n $for i [[ $range j 1..i $range k 2..i template <$for j, [[GTEST_TEMPLATE_ T$j]]> struct Templates$i { typedef TemplateSel Head; typedef Templates$(i-1)<$for k, [[T$k]]> Tail; }; ]] // We don't want to require the users to write TemplatesN<...> directly, // as that would require them to count the length. Templates<...> is much // easier to write, but generates horrible messages when there is a // compiler error, as gcc insists on printing out each template // argument, even if it has the default value (this means Templates // will appear as Templates in the compiler // errors). // // Our solution is to combine the best part of the two approaches: a // user would write Templates, and Google Test will translate // that to TemplatesN internally to make error messages // readable. The translation is done by the 'type' member of the // Templates template. $range i 1..n template <$for i, [[GTEST_TEMPLATE_ T$i = NoneT]]> struct Templates { typedef Templates$n<$for i, [[T$i]]> type; }; template <> struct Templates<$for i, [[NoneT]]> { typedef Templates0 type; }; $range i 1..n-1 $for i [[ $range j 1..i $range k i+1..n template <$for j, [[GTEST_TEMPLATE_ T$j]]> struct Templates<$for j, [[T$j]]$for k[[, NoneT]]> { typedef Templates$i<$for j, [[T$j]]> type; }; ]] // The TypeList template makes it possible to use either a single type // or a Types<...> list in TYPED_TEST_CASE() and // INSTANTIATE_TYPED_TEST_CASE_P(). template struct TypeList { typedef Types1 type; }; $range i 1..n template <$for i, [[typename T$i]]> struct TypeList > { typedef typename Types<$for i, [[T$i]]>::type type; }; #endif // GTEST_HAS_TYPED_TEST || GTEST_HAS_TYPED_TEST_P } // namespace internal } // namespace testing #endif // GTEST_INCLUDE_GTEST_INTERNAL_GTEST_TYPE_UTIL_H_ ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6367657 mypy-1.19.0/mypyc/external/googletest/make/0000755000175100017510000000000015112310012020304 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/make/Makefile0000644000175100017510000000377515112307767022007 0ustar00runnerrunner# A sample Makefile for building Google Test and using it in user # tests. Please tweak it to suit your environment and project. You # may want to move it to your project's root directory. # # SYNOPSIS: # # make [all] - makes everything. # make TARGET - makes the given target. # make clean - removes all files generated by make. # Please tweak the following variable definitions as needed by your # project, except GTEST_HEADERS, which you can use in your own targets # but shouldn't modify. # Points to the root of Google Test, relative to where this file is. # Remember to tweak this if you move this file. GTEST_DIR = .. # Flags passed to the preprocessor. # Set Google Test's header directory as a system directory, such that # the compiler doesn't generate warnings in Google Test headers. CPPFLAGS += -isystem $(GTEST_DIR)/include # Flags passed to the C++ compiler. CXXFLAGS += -g -Wall -Wextra -pthread -fPIC # All Google Test headers. Usually you shouldn't change this # definition. GTEST_HEADERS = $(GTEST_DIR)/include/gtest/*.h \ $(GTEST_DIR)/include/gtest/internal/*.h # House-keeping build targets. all : libgtest.a libgtest_main.a clean : rm -f libgtest.a libgtest_main.a *.o # Builds libgtest.a and libgtest_main.a. # Usually you shouldn't tweak such internal variables, indicated by a # trailing _. GTEST_SRCS_ = $(GTEST_DIR)/src/*.cc $(GTEST_DIR)/src/*.h $(GTEST_HEADERS) # For simplicity and to avoid depending on Google Test's # implementation details, the dependencies specified below are # conservative and not optimized. This is fine as Google Test # compiles fast and for ordinary users its source rarely changes. gtest-all.o : $(GTEST_SRCS_) $(CXX) $(CPPFLAGS) -I$(GTEST_DIR) $(CXXFLAGS) -c \ $(GTEST_DIR)/src/gtest-all.cc gtest_main.o : $(GTEST_SRCS_) $(CXX) $(CPPFLAGS) -I$(GTEST_DIR) $(CXXFLAGS) -c \ $(GTEST_DIR)/src/gtest_main.cc libgtest.a : gtest-all.o $(AR) $(ARFLAGS) $@ $^ libgtest_main.a : gtest-all.o gtest_main.o $(AR) $(ARFLAGS) $@ $^ ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.637766 mypy-1.19.0/mypyc/external/googletest/src/0000755000175100017510000000000015112310012020156 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest-all.cc0000644000175100017510000000416115112307767022412 0ustar00runnerrunner// Copyright 2008, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: mheule@google.com (Markus Heule) // // Google C++ Testing Framework (Google Test) // // Sometimes it's desirable to build Google Test by compiling a single file. // This file serves this purpose. // This line ensures that gtest.h can be compiled on its own, even // when it's fused. #include "gtest/gtest.h" // The following lines pull in the real gtest *.cc files. #include "src/gtest.cc" #include "src/gtest-death-test.cc" #include "src/gtest-filepath.cc" #include "src/gtest-port.cc" #include "src/gtest-printers.cc" #include "src/gtest-test-part.cc" #include "src/gtest-typed-test.cc" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest-death-test.cc0000644000175100017510000014337615112307767023720 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan), vladl@google.com (Vlad Losev) // // This file implements death tests. #include "gtest/gtest-death-test.h" #include "gtest/internal/gtest-port.h" #include "gtest/internal/custom/gtest.h" #if GTEST_HAS_DEATH_TEST # if GTEST_OS_MAC # include # endif // GTEST_OS_MAC # include # include # include # if GTEST_OS_LINUX # include # endif // GTEST_OS_LINUX # include # if GTEST_OS_WINDOWS # include # else # include # include # endif // GTEST_OS_WINDOWS # if GTEST_OS_QNX # include # endif // GTEST_OS_QNX #endif // GTEST_HAS_DEATH_TEST #include "gtest/gtest-message.h" #include "gtest/internal/gtest-string.h" // Indicates that this translation unit is part of Google Test's // implementation. It must come before gtest-internal-inl.h is // included, or there will be a compiler error. This trick exists to // prevent the accidental inclusion of gtest-internal-inl.h in the // user's code. #define GTEST_IMPLEMENTATION_ 1 #include "src/gtest-internal-inl.h" #undef GTEST_IMPLEMENTATION_ namespace testing { // Constants. // The default death test style. static const char kDefaultDeathTestStyle[] = "fast"; GTEST_DEFINE_string_( death_test_style, internal::StringFromGTestEnv("death_test_style", kDefaultDeathTestStyle), "Indicates how to run a death test in a forked child process: " "\"threadsafe\" (child process re-executes the test binary " "from the beginning, running only the specific death test) or " "\"fast\" (child process runs the death test immediately " "after forking)."); GTEST_DEFINE_bool_( death_test_use_fork, internal::BoolFromGTestEnv("death_test_use_fork", false), "Instructs to use fork()/_exit() instead of clone() in death tests. " "Ignored and always uses fork() on POSIX systems where clone() is not " "implemented. Useful when running under valgrind or similar tools if " "those do not support clone(). Valgrind 3.3.1 will just fail if " "it sees an unsupported combination of clone() flags. " "It is not recommended to use this flag w/o valgrind though it will " "work in 99% of the cases. Once valgrind is fixed, this flag will " "most likely be removed."); namespace internal { GTEST_DEFINE_string_( internal_run_death_test, "", "Indicates the file, line number, temporal index of " "the single death test to run, and a file descriptor to " "which a success code may be sent, all separated by " "the '|' characters. This flag is specified if and only if the current " "process is a sub-process launched for running a thread-safe " "death test. FOR INTERNAL USE ONLY."); } // namespace internal #if GTEST_HAS_DEATH_TEST namespace internal { // Valid only for fast death tests. Indicates the code is running in the // child process of a fast style death test. # if !GTEST_OS_WINDOWS static bool g_in_fast_death_test_child = false; # endif // Returns a Boolean value indicating whether the caller is currently // executing in the context of the death test child process. Tools such as // Valgrind heap checkers may need this to modify their behavior in death // tests. IMPORTANT: This is an internal utility. Using it may break the // implementation of death tests. User code MUST NOT use it. bool InDeathTestChild() { # if GTEST_OS_WINDOWS // On Windows, death tests are thread-safe regardless of the value of the // death_test_style flag. return !GTEST_FLAG(internal_run_death_test).empty(); # else if (GTEST_FLAG(death_test_style) == "threadsafe") return !GTEST_FLAG(internal_run_death_test).empty(); else return g_in_fast_death_test_child; #endif } } // namespace internal // ExitedWithCode constructor. ExitedWithCode::ExitedWithCode(int exit_code) : exit_code_(exit_code) { } // ExitedWithCode function-call operator. bool ExitedWithCode::operator()(int exit_status) const { # if GTEST_OS_WINDOWS return exit_status == exit_code_; # else return WIFEXITED(exit_status) && WEXITSTATUS(exit_status) == exit_code_; # endif // GTEST_OS_WINDOWS } # if !GTEST_OS_WINDOWS // KilledBySignal constructor. KilledBySignal::KilledBySignal(int signum) : signum_(signum) { } // KilledBySignal function-call operator. bool KilledBySignal::operator()(int exit_status) const { # if defined(GTEST_KILLED_BY_SIGNAL_OVERRIDE_) { bool result; if (GTEST_KILLED_BY_SIGNAL_OVERRIDE_(signum_, exit_status, &result)) { return result; } } # endif // defined(GTEST_KILLED_BY_SIGNAL_OVERRIDE_) return WIFSIGNALED(exit_status) && WTERMSIG(exit_status) == signum_; } # endif // !GTEST_OS_WINDOWS namespace internal { // Utilities needed for death tests. // Generates a textual description of a given exit code, in the format // specified by wait(2). static std::string ExitSummary(int exit_code) { Message m; # if GTEST_OS_WINDOWS m << "Exited with exit status " << exit_code; # else if (WIFEXITED(exit_code)) { m << "Exited with exit status " << WEXITSTATUS(exit_code); } else if (WIFSIGNALED(exit_code)) { m << "Terminated by signal " << WTERMSIG(exit_code); } # ifdef WCOREDUMP if (WCOREDUMP(exit_code)) { m << " (core dumped)"; } # endif # endif // GTEST_OS_WINDOWS return m.GetString(); } // Returns true if exit_status describes a process that was terminated // by a signal, or exited normally with a nonzero exit code. bool ExitedUnsuccessfully(int exit_status) { return !ExitedWithCode(0)(exit_status); } # if !GTEST_OS_WINDOWS // Generates a textual failure message when a death test finds more than // one thread running, or cannot determine the number of threads, prior // to executing the given statement. It is the responsibility of the // caller not to pass a thread_count of 1. static std::string DeathTestThreadWarning(size_t thread_count) { Message msg; msg << "Death tests use fork(), which is unsafe particularly" << " in a threaded context. For this test, " << GTEST_NAME_ << " "; if (thread_count == 0) msg << "couldn't detect the number of threads."; else msg << "detected " << thread_count << " threads."; return msg.GetString(); } # endif // !GTEST_OS_WINDOWS // Flag characters for reporting a death test that did not die. static const char kDeathTestLived = 'L'; static const char kDeathTestReturned = 'R'; static const char kDeathTestThrew = 'T'; static const char kDeathTestInternalError = 'I'; // An enumeration describing all of the possible ways that a death test can // conclude. DIED means that the process died while executing the test // code; LIVED means that process lived beyond the end of the test code; // RETURNED means that the test statement attempted to execute a return // statement, which is not allowed; THREW means that the test statement // returned control by throwing an exception. IN_PROGRESS means the test // has not yet concluded. // TODO(vladl@google.com): Unify names and possibly values for // AbortReason, DeathTestOutcome, and flag characters above. enum DeathTestOutcome { IN_PROGRESS, DIED, LIVED, RETURNED, THREW }; // Routine for aborting the program which is safe to call from an // exec-style death test child process, in which case the error // message is propagated back to the parent process. Otherwise, the // message is simply printed to stderr. In either case, the program // then exits with status 1. void DeathTestAbort(const std::string& message) { // On a POSIX system, this function may be called from a threadsafe-style // death test child process, which operates on a very small stack. Use // the heap for any additional non-minuscule memory requirements. const InternalRunDeathTestFlag* const flag = GetUnitTestImpl()->internal_run_death_test_flag(); if (flag != NULL) { FILE* parent = posix::FDOpen(flag->write_fd(), "w"); fputc(kDeathTestInternalError, parent); fprintf(parent, "%s", message.c_str()); fflush(parent); _exit(1); } else { fprintf(stderr, "%s", message.c_str()); fflush(stderr); posix::Abort(); } } // A replacement for CHECK that calls DeathTestAbort if the assertion // fails. # define GTEST_DEATH_TEST_CHECK_(expression) \ do { \ if (!::testing::internal::IsTrue(expression)) { \ DeathTestAbort( \ ::std::string("CHECK failed: File ") + __FILE__ + ", line " \ + ::testing::internal::StreamableToString(__LINE__) + ": " \ + #expression); \ } \ } while (::testing::internal::AlwaysFalse()) // This macro is similar to GTEST_DEATH_TEST_CHECK_, but it is meant for // evaluating any system call that fulfills two conditions: it must return // -1 on failure, and set errno to EINTR when it is interrupted and // should be tried again. The macro expands to a loop that repeatedly // evaluates the expression as long as it evaluates to -1 and sets // errno to EINTR. If the expression evaluates to -1 but errno is // something other than EINTR, DeathTestAbort is called. # define GTEST_DEATH_TEST_CHECK_SYSCALL_(expression) \ do { \ int gtest_retval; \ do { \ gtest_retval = (expression); \ } while (gtest_retval == -1 && errno == EINTR); \ if (gtest_retval == -1) { \ DeathTestAbort( \ ::std::string("CHECK failed: File ") + __FILE__ + ", line " \ + ::testing::internal::StreamableToString(__LINE__) + ": " \ + #expression + " != -1"); \ } \ } while (::testing::internal::AlwaysFalse()) // Returns the message describing the last system error in errno. std::string GetLastErrnoDescription() { return errno == 0 ? "" : posix::StrError(errno); } // This is called from a death test parent process to read a failure // message from the death test child process and log it with the FATAL // severity. On Windows, the message is read from a pipe handle. On other // platforms, it is read from a file descriptor. static void FailFromInternalError(int fd) { Message error; char buffer[256]; int num_read; do { while ((num_read = posix::Read(fd, buffer, 255)) > 0) { buffer[num_read] = '\0'; error << buffer; } } while (num_read == -1 && errno == EINTR); if (num_read == 0) { GTEST_LOG_(FATAL) << error.GetString(); } else { const int last_error = errno; GTEST_LOG_(FATAL) << "Error while reading death test internal: " << GetLastErrnoDescription() << " [" << last_error << "]"; } } // Death test constructor. Increments the running death test count // for the current test. DeathTest::DeathTest() { TestInfo* const info = GetUnitTestImpl()->current_test_info(); if (info == NULL) { DeathTestAbort("Cannot run a death test outside of a TEST or " "TEST_F construct"); } } // Creates and returns a death test by dispatching to the current // death test factory. bool DeathTest::Create(const char* statement, const RE* regex, const char* file, int line, DeathTest** test) { return GetUnitTestImpl()->death_test_factory()->Create( statement, regex, file, line, test); } const char* DeathTest::LastMessage() { return last_death_test_message_.c_str(); } void DeathTest::set_last_death_test_message(const std::string& message) { last_death_test_message_ = message; } std::string DeathTest::last_death_test_message_; // Provides cross platform implementation for some death functionality. class DeathTestImpl : public DeathTest { protected: DeathTestImpl(const char* a_statement, const RE* a_regex) : statement_(a_statement), regex_(a_regex), spawned_(false), status_(-1), outcome_(IN_PROGRESS), read_fd_(-1), write_fd_(-1) {} // read_fd_ is expected to be closed and cleared by a derived class. ~DeathTestImpl() { GTEST_DEATH_TEST_CHECK_(read_fd_ == -1); } void Abort(AbortReason reason); virtual bool Passed(bool status_ok); const char* statement() const { return statement_; } const RE* regex() const { return regex_; } bool spawned() const { return spawned_; } void set_spawned(bool is_spawned) { spawned_ = is_spawned; } int status() const { return status_; } void set_status(int a_status) { status_ = a_status; } DeathTestOutcome outcome() const { return outcome_; } void set_outcome(DeathTestOutcome an_outcome) { outcome_ = an_outcome; } int read_fd() const { return read_fd_; } void set_read_fd(int fd) { read_fd_ = fd; } int write_fd() const { return write_fd_; } void set_write_fd(int fd) { write_fd_ = fd; } // Called in the parent process only. Reads the result code of the death // test child process via a pipe, interprets it to set the outcome_ // member, and closes read_fd_. Outputs diagnostics and terminates in // case of unexpected codes. void ReadAndInterpretStatusByte(); private: // The textual content of the code this object is testing. This class // doesn't own this string and should not attempt to delete it. const char* const statement_; // The regular expression which test output must match. DeathTestImpl // doesn't own this object and should not attempt to delete it. const RE* const regex_; // True if the death test child process has been successfully spawned. bool spawned_; // The exit status of the child process. int status_; // How the death test concluded. DeathTestOutcome outcome_; // Descriptor to the read end of the pipe to the child process. It is // always -1 in the child process. The child keeps its write end of the // pipe in write_fd_. int read_fd_; // Descriptor to the child's write end of the pipe to the parent process. // It is always -1 in the parent process. The parent keeps its end of the // pipe in read_fd_. int write_fd_; }; // Called in the parent process only. Reads the result code of the death // test child process via a pipe, interprets it to set the outcome_ // member, and closes read_fd_. Outputs diagnostics and terminates in // case of unexpected codes. void DeathTestImpl::ReadAndInterpretStatusByte() { char flag; int bytes_read; // The read() here blocks until data is available (signifying the // failure of the death test) or until the pipe is closed (signifying // its success), so it's okay to call this in the parent before // the child process has exited. do { bytes_read = posix::Read(read_fd(), &flag, 1); } while (bytes_read == -1 && errno == EINTR); if (bytes_read == 0) { set_outcome(DIED); } else if (bytes_read == 1) { switch (flag) { case kDeathTestReturned: set_outcome(RETURNED); break; case kDeathTestThrew: set_outcome(THREW); break; case kDeathTestLived: set_outcome(LIVED); break; case kDeathTestInternalError: FailFromInternalError(read_fd()); // Does not return. break; default: GTEST_LOG_(FATAL) << "Death test child process reported " << "unexpected status byte (" << static_cast(flag) << ")"; } } else { GTEST_LOG_(FATAL) << "Read from death test child process failed: " << GetLastErrnoDescription(); } GTEST_DEATH_TEST_CHECK_SYSCALL_(posix::Close(read_fd())); set_read_fd(-1); } // Signals that the death test code which should have exited, didn't. // Should be called only in a death test child process. // Writes a status byte to the child's status file descriptor, then // calls _exit(1). void DeathTestImpl::Abort(AbortReason reason) { // The parent process considers the death test to be a failure if // it finds any data in our pipe. So, here we write a single flag byte // to the pipe, then exit. const char status_ch = reason == TEST_DID_NOT_DIE ? kDeathTestLived : reason == TEST_THREW_EXCEPTION ? kDeathTestThrew : kDeathTestReturned; GTEST_DEATH_TEST_CHECK_SYSCALL_(posix::Write(write_fd(), &status_ch, 1)); // We are leaking the descriptor here because on some platforms (i.e., // when built as Windows DLL), destructors of global objects will still // run after calling _exit(). On such systems, write_fd_ will be // indirectly closed from the destructor of UnitTestImpl, causing double // close if it is also closed here. On debug configurations, double close // may assert. As there are no in-process buffers to flush here, we are // relying on the OS to close the descriptor after the process terminates // when the destructors are not run. _exit(1); // Exits w/o any normal exit hooks (we were supposed to crash) } // Returns an indented copy of stderr output for a death test. // This makes distinguishing death test output lines from regular log lines // much easier. static ::std::string FormatDeathTestOutput(const ::std::string& output) { ::std::string ret; for (size_t at = 0; ; ) { const size_t line_end = output.find('\n', at); ret += "[ DEATH ] "; if (line_end == ::std::string::npos) { ret += output.substr(at); break; } ret += output.substr(at, line_end + 1 - at); at = line_end + 1; } return ret; } // Assesses the success or failure of a death test, using both private // members which have previously been set, and one argument: // // Private data members: // outcome: An enumeration describing how the death test // concluded: DIED, LIVED, THREW, or RETURNED. The death test // fails in the latter three cases. // status: The exit status of the child process. On *nix, it is in the // in the format specified by wait(2). On Windows, this is the // value supplied to the ExitProcess() API or a numeric code // of the exception that terminated the program. // regex: A regular expression object to be applied to // the test's captured standard error output; the death test // fails if it does not match. // // Argument: // status_ok: true if exit_status is acceptable in the context of // this particular death test, which fails if it is false // // Returns true iff all of the above conditions are met. Otherwise, the // first failing condition, in the order given above, is the one that is // reported. Also sets the last death test message string. bool DeathTestImpl::Passed(bool status_ok) { if (!spawned()) return false; const std::string error_message = GetCapturedStderr(); bool success = false; Message buffer; buffer << "Death test: " << statement() << "\n"; switch (outcome()) { case LIVED: buffer << " Result: failed to die.\n" << " Error msg:\n" << FormatDeathTestOutput(error_message); break; case THREW: buffer << " Result: threw an exception.\n" << " Error msg:\n" << FormatDeathTestOutput(error_message); break; case RETURNED: buffer << " Result: illegal return in test statement.\n" << " Error msg:\n" << FormatDeathTestOutput(error_message); break; case DIED: if (status_ok) { const bool matched = RE::PartialMatch(error_message.c_str(), *regex()); if (matched) { success = true; } else { buffer << " Result: died but not with expected error.\n" << " Expected: " << regex()->pattern() << "\n" << "Actual msg:\n" << FormatDeathTestOutput(error_message); } } else { buffer << " Result: died but not with expected exit code:\n" << " " << ExitSummary(status()) << "\n" << "Actual msg:\n" << FormatDeathTestOutput(error_message); } break; case IN_PROGRESS: default: GTEST_LOG_(FATAL) << "DeathTest::Passed somehow called before conclusion of test"; } DeathTest::set_last_death_test_message(buffer.GetString()); return success; } # if GTEST_OS_WINDOWS // WindowsDeathTest implements death tests on Windows. Due to the // specifics of starting new processes on Windows, death tests there are // always threadsafe, and Google Test considers the // --gtest_death_test_style=fast setting to be equivalent to // --gtest_death_test_style=threadsafe there. // // A few implementation notes: Like the Linux version, the Windows // implementation uses pipes for child-to-parent communication. But due to // the specifics of pipes on Windows, some extra steps are required: // // 1. The parent creates a communication pipe and stores handles to both // ends of it. // 2. The parent starts the child and provides it with the information // necessary to acquire the handle to the write end of the pipe. // 3. The child acquires the write end of the pipe and signals the parent // using a Windows event. // 4. Now the parent can release the write end of the pipe on its side. If // this is done before step 3, the object's reference count goes down to // 0 and it is destroyed, preventing the child from acquiring it. The // parent now has to release it, or read operations on the read end of // the pipe will not return when the child terminates. // 5. The parent reads child's output through the pipe (outcome code and // any possible error messages) from the pipe, and its stderr and then // determines whether to fail the test. // // Note: to distinguish Win32 API calls from the local method and function // calls, the former are explicitly resolved in the global namespace. // class WindowsDeathTest : public DeathTestImpl { public: WindowsDeathTest(const char* a_statement, const RE* a_regex, const char* file, int line) : DeathTestImpl(a_statement, a_regex), file_(file), line_(line) {} // All of these virtual functions are inherited from DeathTest. virtual int Wait(); virtual TestRole AssumeRole(); private: // The name of the file in which the death test is located. const char* const file_; // The line number on which the death test is located. const int line_; // Handle to the write end of the pipe to the child process. AutoHandle write_handle_; // Child process handle. AutoHandle child_handle_; // Event the child process uses to signal the parent that it has // acquired the handle to the write end of the pipe. After seeing this // event the parent can release its own handles to make sure its // ReadFile() calls return when the child terminates. AutoHandle event_handle_; }; // Waits for the child in a death test to exit, returning its exit // status, or 0 if no child process exists. As a side effect, sets the // outcome data member. int WindowsDeathTest::Wait() { if (!spawned()) return 0; // Wait until the child either signals that it has acquired the write end // of the pipe or it dies. const HANDLE wait_handles[2] = { child_handle_.Get(), event_handle_.Get() }; switch (::WaitForMultipleObjects(2, wait_handles, FALSE, // Waits for any of the handles. INFINITE)) { case WAIT_OBJECT_0: case WAIT_OBJECT_0 + 1: break; default: GTEST_DEATH_TEST_CHECK_(false); // Should not get here. } // The child has acquired the write end of the pipe or exited. // We release the handle on our side and continue. write_handle_.Reset(); event_handle_.Reset(); ReadAndInterpretStatusByte(); // Waits for the child process to exit if it haven't already. This // returns immediately if the child has already exited, regardless of // whether previous calls to WaitForMultipleObjects synchronized on this // handle or not. GTEST_DEATH_TEST_CHECK_( WAIT_OBJECT_0 == ::WaitForSingleObject(child_handle_.Get(), INFINITE)); DWORD status_code; GTEST_DEATH_TEST_CHECK_( ::GetExitCodeProcess(child_handle_.Get(), &status_code) != FALSE); child_handle_.Reset(); set_status(static_cast(status_code)); return status(); } // The AssumeRole process for a Windows death test. It creates a child // process with the same executable as the current process to run the // death test. The child process is given the --gtest_filter and // --gtest_internal_run_death_test flags such that it knows to run the // current death test only. DeathTest::TestRole WindowsDeathTest::AssumeRole() { const UnitTestImpl* const impl = GetUnitTestImpl(); const InternalRunDeathTestFlag* const flag = impl->internal_run_death_test_flag(); const TestInfo* const info = impl->current_test_info(); const int death_test_index = info->result()->death_test_count(); if (flag != NULL) { // ParseInternalRunDeathTestFlag() has performed all the necessary // processing. set_write_fd(flag->write_fd()); return EXECUTE_TEST; } // WindowsDeathTest uses an anonymous pipe to communicate results of // a death test. SECURITY_ATTRIBUTES handles_are_inheritable = { sizeof(SECURITY_ATTRIBUTES), NULL, TRUE }; HANDLE read_handle, write_handle; GTEST_DEATH_TEST_CHECK_( ::CreatePipe(&read_handle, &write_handle, &handles_are_inheritable, 0) // Default buffer size. != FALSE); set_read_fd(::_open_osfhandle(reinterpret_cast(read_handle), O_RDONLY)); write_handle_.Reset(write_handle); event_handle_.Reset(::CreateEvent( &handles_are_inheritable, TRUE, // The event will automatically reset to non-signaled state. FALSE, // The initial state is non-signalled. NULL)); // The even is unnamed. GTEST_DEATH_TEST_CHECK_(event_handle_.Get() != NULL); const std::string filter_flag = std::string("--") + GTEST_FLAG_PREFIX_ + kFilterFlag + "=" + info->test_case_name() + "." + info->name(); const std::string internal_flag = std::string("--") + GTEST_FLAG_PREFIX_ + kInternalRunDeathTestFlag + "=" + file_ + "|" + StreamableToString(line_) + "|" + StreamableToString(death_test_index) + "|" + StreamableToString(static_cast(::GetCurrentProcessId())) + // size_t has the same width as pointers on both 32-bit and 64-bit // Windows platforms. // See http://msdn.microsoft.com/en-us/library/tcxf1dw6.aspx. "|" + StreamableToString(reinterpret_cast(write_handle)) + "|" + StreamableToString(reinterpret_cast(event_handle_.Get())); char executable_path[_MAX_PATH + 1]; // NOLINT GTEST_DEATH_TEST_CHECK_( _MAX_PATH + 1 != ::GetModuleFileNameA(NULL, executable_path, _MAX_PATH)); std::string command_line = std::string(::GetCommandLineA()) + " " + filter_flag + " \"" + internal_flag + "\""; DeathTest::set_last_death_test_message(""); CaptureStderr(); // Flush the log buffers since the log streams are shared with the child. FlushInfoLog(); // The child process will share the standard handles with the parent. STARTUPINFOA startup_info; memset(&startup_info, 0, sizeof(STARTUPINFO)); startup_info.dwFlags = STARTF_USESTDHANDLES; startup_info.hStdInput = ::GetStdHandle(STD_INPUT_HANDLE); startup_info.hStdOutput = ::GetStdHandle(STD_OUTPUT_HANDLE); startup_info.hStdError = ::GetStdHandle(STD_ERROR_HANDLE); PROCESS_INFORMATION process_info; GTEST_DEATH_TEST_CHECK_(::CreateProcessA( executable_path, const_cast(command_line.c_str()), NULL, // Retuned process handle is not inheritable. NULL, // Retuned thread handle is not inheritable. TRUE, // Child inherits all inheritable handles (for write_handle_). 0x0, // Default creation flags. NULL, // Inherit the parent's environment. UnitTest::GetInstance()->original_working_dir(), &startup_info, &process_info) != FALSE); child_handle_.Reset(process_info.hProcess); ::CloseHandle(process_info.hThread); set_spawned(true); return OVERSEE_TEST; } # else // We are not on Windows. // ForkingDeathTest provides implementations for most of the abstract // methods of the DeathTest interface. Only the AssumeRole method is // left undefined. class ForkingDeathTest : public DeathTestImpl { public: ForkingDeathTest(const char* statement, const RE* regex); // All of these virtual functions are inherited from DeathTest. virtual int Wait(); protected: void set_child_pid(pid_t child_pid) { child_pid_ = child_pid; } private: // PID of child process during death test; 0 in the child process itself. pid_t child_pid_; }; // Constructs a ForkingDeathTest. ForkingDeathTest::ForkingDeathTest(const char* a_statement, const RE* a_regex) : DeathTestImpl(a_statement, a_regex), child_pid_(-1) {} // Waits for the child in a death test to exit, returning its exit // status, or 0 if no child process exists. As a side effect, sets the // outcome data member. int ForkingDeathTest::Wait() { if (!spawned()) return 0; ReadAndInterpretStatusByte(); int status_value; GTEST_DEATH_TEST_CHECK_SYSCALL_(waitpid(child_pid_, &status_value, 0)); set_status(status_value); return status_value; } // A concrete death test class that forks, then immediately runs the test // in the child process. class NoExecDeathTest : public ForkingDeathTest { public: NoExecDeathTest(const char* a_statement, const RE* a_regex) : ForkingDeathTest(a_statement, a_regex) { } virtual TestRole AssumeRole(); }; // The AssumeRole process for a fork-and-run death test. It implements a // straightforward fork, with a simple pipe to transmit the status byte. DeathTest::TestRole NoExecDeathTest::AssumeRole() { const size_t thread_count = GetThreadCount(); if (thread_count != 1) { GTEST_LOG_(WARNING) << DeathTestThreadWarning(thread_count); } int pipe_fd[2]; GTEST_DEATH_TEST_CHECK_(pipe(pipe_fd) != -1); DeathTest::set_last_death_test_message(""); CaptureStderr(); // When we fork the process below, the log file buffers are copied, but the // file descriptors are shared. We flush all log files here so that closing // the file descriptors in the child process doesn't throw off the // synchronization between descriptors and buffers in the parent process. // This is as close to the fork as possible to avoid a race condition in case // there are multiple threads running before the death test, and another // thread writes to the log file. FlushInfoLog(); const pid_t child_pid = fork(); GTEST_DEATH_TEST_CHECK_(child_pid != -1); set_child_pid(child_pid); if (child_pid == 0) { GTEST_DEATH_TEST_CHECK_SYSCALL_(close(pipe_fd[0])); set_write_fd(pipe_fd[1]); // Redirects all logging to stderr in the child process to prevent // concurrent writes to the log files. We capture stderr in the parent // process and append the child process' output to a log. LogToStderr(); // Event forwarding to the listeners of event listener API mush be shut // down in death test subprocesses. GetUnitTestImpl()->listeners()->SuppressEventForwarding(); g_in_fast_death_test_child = true; return EXECUTE_TEST; } else { GTEST_DEATH_TEST_CHECK_SYSCALL_(close(pipe_fd[1])); set_read_fd(pipe_fd[0]); set_spawned(true); return OVERSEE_TEST; } } // A concrete death test class that forks and re-executes the main // program from the beginning, with command-line flags set that cause // only this specific death test to be run. class ExecDeathTest : public ForkingDeathTest { public: ExecDeathTest(const char* a_statement, const RE* a_regex, const char* file, int line) : ForkingDeathTest(a_statement, a_regex), file_(file), line_(line) { } virtual TestRole AssumeRole(); private: static ::std::vector GetArgvsForDeathTestChildProcess() { ::std::vector args = GetInjectableArgvs(); # if defined(GTEST_EXTRA_DEATH_TEST_COMMAND_LINE_ARGS_) ::std::vector extra_args = GTEST_EXTRA_DEATH_TEST_COMMAND_LINE_ARGS_(); args.insert(args.end(), extra_args.begin(), extra_args.end()); # endif // defined(GTEST_EXTRA_DEATH_TEST_COMMAND_LINE_ARGS_) return args; } // The name of the file in which the death test is located. const char* const file_; // The line number on which the death test is located. const int line_; }; // Utility class for accumulating command-line arguments. class Arguments { public: Arguments() { args_.push_back(NULL); } ~Arguments() { for (std::vector::iterator i = args_.begin(); i != args_.end(); ++i) { free(*i); } } void AddArgument(const char* argument) { args_.insert(args_.end() - 1, posix::StrDup(argument)); } template void AddArguments(const ::std::vector& arguments) { for (typename ::std::vector::const_iterator i = arguments.begin(); i != arguments.end(); ++i) { args_.insert(args_.end() - 1, posix::StrDup(i->c_str())); } } char* const* Argv() { return &args_[0]; } private: std::vector args_; }; // A struct that encompasses the arguments to the child process of a // threadsafe-style death test process. struct ExecDeathTestArgs { char* const* argv; // Command-line arguments for the child's call to exec int close_fd; // File descriptor to close; the read end of a pipe }; # if GTEST_OS_MAC inline char** GetEnviron() { // When Google Test is built as a framework on MacOS X, the environ variable // is unavailable. Apple's documentation (man environ) recommends using // _NSGetEnviron() instead. return *_NSGetEnviron(); } # else // Some POSIX platforms expect you to declare environ. extern "C" makes // it reside in the global namespace. extern "C" char** environ; inline char** GetEnviron() { return environ; } # endif // GTEST_OS_MAC # if !GTEST_OS_QNX // The main function for a threadsafe-style death test child process. // This function is called in a clone()-ed process and thus must avoid // any potentially unsafe operations like malloc or libc functions. static int ExecDeathTestChildMain(void* child_arg) { ExecDeathTestArgs* const args = static_cast(child_arg); GTEST_DEATH_TEST_CHECK_SYSCALL_(close(args->close_fd)); // We need to execute the test program in the same environment where // it was originally invoked. Therefore we change to the original // working directory first. const char* const original_dir = UnitTest::GetInstance()->original_working_dir(); // We can safely call chdir() as it's a direct system call. if (chdir(original_dir) != 0) { DeathTestAbort(std::string("chdir(\"") + original_dir + "\") failed: " + GetLastErrnoDescription()); return EXIT_FAILURE; } // We can safely call execve() as it's a direct system call. We // cannot use execvp() as it's a libc function and thus potentially // unsafe. Since execve() doesn't search the PATH, the user must // invoke the test program via a valid path that contains at least // one path separator. execve(args->argv[0], args->argv, GetEnviron()); DeathTestAbort(std::string("execve(") + args->argv[0] + ", ...) in " + original_dir + " failed: " + GetLastErrnoDescription()); return EXIT_FAILURE; } # endif // !GTEST_OS_QNX // Two utility routines that together determine the direction the stack // grows. // This could be accomplished more elegantly by a single recursive // function, but we want to guard against the unlikely possibility of // a smart compiler optimizing the recursion away. // // GTEST_NO_INLINE_ is required to prevent GCC 4.6 from inlining // StackLowerThanAddress into StackGrowsDown, which then doesn't give // correct answer. void StackLowerThanAddress(const void* ptr, bool* result) GTEST_NO_INLINE_; void StackLowerThanAddress(const void* ptr, bool* result) { int dummy; *result = (&dummy < ptr); } // Make sure AddressSanitizer does not tamper with the stack here. GTEST_ATTRIBUTE_NO_SANITIZE_ADDRESS_ bool StackGrowsDown() { int dummy; bool result; StackLowerThanAddress(&dummy, &result); return result; } // Spawns a child process with the same executable as the current process in // a thread-safe manner and instructs it to run the death test. The // implementation uses fork(2) + exec. On systems where clone(2) is // available, it is used instead, being slightly more thread-safe. On QNX, // fork supports only single-threaded environments, so this function uses // spawn(2) there instead. The function dies with an error message if // anything goes wrong. static pid_t ExecDeathTestSpawnChild(char* const* argv, int close_fd) { ExecDeathTestArgs args = { argv, close_fd }; pid_t child_pid = -1; # if GTEST_OS_QNX // Obtains the current directory and sets it to be closed in the child // process. const int cwd_fd = open(".", O_RDONLY); GTEST_DEATH_TEST_CHECK_(cwd_fd != -1); GTEST_DEATH_TEST_CHECK_SYSCALL_(fcntl(cwd_fd, F_SETFD, FD_CLOEXEC)); // We need to execute the test program in the same environment where // it was originally invoked. Therefore we change to the original // working directory first. const char* const original_dir = UnitTest::GetInstance()->original_working_dir(); // We can safely call chdir() as it's a direct system call. if (chdir(original_dir) != 0) { DeathTestAbort(std::string("chdir(\"") + original_dir + "\") failed: " + GetLastErrnoDescription()); return EXIT_FAILURE; } int fd_flags; // Set close_fd to be closed after spawn. GTEST_DEATH_TEST_CHECK_SYSCALL_(fd_flags = fcntl(close_fd, F_GETFD)); GTEST_DEATH_TEST_CHECK_SYSCALL_(fcntl(close_fd, F_SETFD, fd_flags | FD_CLOEXEC)); struct inheritance inherit = {0}; // spawn is a system call. child_pid = spawn(args.argv[0], 0, NULL, &inherit, args.argv, GetEnviron()); // Restores the current working directory. GTEST_DEATH_TEST_CHECK_(fchdir(cwd_fd) != -1); GTEST_DEATH_TEST_CHECK_SYSCALL_(close(cwd_fd)); # else // GTEST_OS_QNX # if GTEST_OS_LINUX // When a SIGPROF signal is received while fork() or clone() are executing, // the process may hang. To avoid this, we ignore SIGPROF here and re-enable // it after the call to fork()/clone() is complete. struct sigaction saved_sigprof_action; struct sigaction ignore_sigprof_action; memset(&ignore_sigprof_action, 0, sizeof(ignore_sigprof_action)); sigemptyset(&ignore_sigprof_action.sa_mask); ignore_sigprof_action.sa_handler = SIG_IGN; GTEST_DEATH_TEST_CHECK_SYSCALL_(sigaction( SIGPROF, &ignore_sigprof_action, &saved_sigprof_action)); # endif // GTEST_OS_LINUX # if GTEST_HAS_CLONE const bool use_fork = GTEST_FLAG(death_test_use_fork); if (!use_fork) { static const bool stack_grows_down = StackGrowsDown(); const size_t stack_size = getpagesize(); // MMAP_ANONYMOUS is not defined on Mac, so we use MAP_ANON instead. void* const stack = mmap(NULL, stack_size, PROT_READ | PROT_WRITE, MAP_ANON | MAP_PRIVATE, -1, 0); GTEST_DEATH_TEST_CHECK_(stack != MAP_FAILED); // Maximum stack alignment in bytes: For a downward-growing stack, this // amount is subtracted from size of the stack space to get an address // that is within the stack space and is aligned on all systems we care // about. As far as I know there is no ABI with stack alignment greater // than 64. We assume stack and stack_size already have alignment of // kMaxStackAlignment. const size_t kMaxStackAlignment = 64; void* const stack_top = static_cast(stack) + (stack_grows_down ? stack_size - kMaxStackAlignment : 0); GTEST_DEATH_TEST_CHECK_(stack_size > kMaxStackAlignment && reinterpret_cast(stack_top) % kMaxStackAlignment == 0); child_pid = clone(&ExecDeathTestChildMain, stack_top, SIGCHLD, &args); GTEST_DEATH_TEST_CHECK_(munmap(stack, stack_size) != -1); } # else const bool use_fork = true; # endif // GTEST_HAS_CLONE if (use_fork && (child_pid = fork()) == 0) { ExecDeathTestChildMain(&args); _exit(0); } # endif // GTEST_OS_QNX # if GTEST_OS_LINUX GTEST_DEATH_TEST_CHECK_SYSCALL_( sigaction(SIGPROF, &saved_sigprof_action, NULL)); # endif // GTEST_OS_LINUX GTEST_DEATH_TEST_CHECK_(child_pid != -1); return child_pid; } // The AssumeRole process for a fork-and-exec death test. It re-executes the // main program from the beginning, setting the --gtest_filter // and --gtest_internal_run_death_test flags to cause only the current // death test to be re-run. DeathTest::TestRole ExecDeathTest::AssumeRole() { const UnitTestImpl* const impl = GetUnitTestImpl(); const InternalRunDeathTestFlag* const flag = impl->internal_run_death_test_flag(); const TestInfo* const info = impl->current_test_info(); const int death_test_index = info->result()->death_test_count(); if (flag != NULL) { set_write_fd(flag->write_fd()); return EXECUTE_TEST; } int pipe_fd[2]; GTEST_DEATH_TEST_CHECK_(pipe(pipe_fd) != -1); // Clear the close-on-exec flag on the write end of the pipe, lest // it be closed when the child process does an exec: GTEST_DEATH_TEST_CHECK_(fcntl(pipe_fd[1], F_SETFD, 0) != -1); const std::string filter_flag = std::string("--") + GTEST_FLAG_PREFIX_ + kFilterFlag + "=" + info->test_case_name() + "." + info->name(); const std::string internal_flag = std::string("--") + GTEST_FLAG_PREFIX_ + kInternalRunDeathTestFlag + "=" + file_ + "|" + StreamableToString(line_) + "|" + StreamableToString(death_test_index) + "|" + StreamableToString(pipe_fd[1]); Arguments args; args.AddArguments(GetArgvsForDeathTestChildProcess()); args.AddArgument(filter_flag.c_str()); args.AddArgument(internal_flag.c_str()); DeathTest::set_last_death_test_message(""); CaptureStderr(); // See the comment in NoExecDeathTest::AssumeRole for why the next line // is necessary. FlushInfoLog(); const pid_t child_pid = ExecDeathTestSpawnChild(args.Argv(), pipe_fd[0]); GTEST_DEATH_TEST_CHECK_SYSCALL_(close(pipe_fd[1])); set_child_pid(child_pid); set_read_fd(pipe_fd[0]); set_spawned(true); return OVERSEE_TEST; } # endif // !GTEST_OS_WINDOWS // Creates a concrete DeathTest-derived class that depends on the // --gtest_death_test_style flag, and sets the pointer pointed to // by the "test" argument to its address. If the test should be // skipped, sets that pointer to NULL. Returns true, unless the // flag is set to an invalid value. bool DefaultDeathTestFactory::Create(const char* statement, const RE* regex, const char* file, int line, DeathTest** test) { UnitTestImpl* const impl = GetUnitTestImpl(); const InternalRunDeathTestFlag* const flag = impl->internal_run_death_test_flag(); const int death_test_index = impl->current_test_info() ->increment_death_test_count(); if (flag != NULL) { if (death_test_index > flag->index()) { DeathTest::set_last_death_test_message( "Death test count (" + StreamableToString(death_test_index) + ") somehow exceeded expected maximum (" + StreamableToString(flag->index()) + ")"); return false; } if (!(flag->file() == file && flag->line() == line && flag->index() == death_test_index)) { *test = NULL; return true; } } # if GTEST_OS_WINDOWS if (GTEST_FLAG(death_test_style) == "threadsafe" || GTEST_FLAG(death_test_style) == "fast") { *test = new WindowsDeathTest(statement, regex, file, line); } # else if (GTEST_FLAG(death_test_style) == "threadsafe") { *test = new ExecDeathTest(statement, regex, file, line); } else if (GTEST_FLAG(death_test_style) == "fast") { *test = new NoExecDeathTest(statement, regex); } # endif // GTEST_OS_WINDOWS else { // NOLINT - this is more readable than unbalanced brackets inside #if. DeathTest::set_last_death_test_message( "Unknown death test style \"" + GTEST_FLAG(death_test_style) + "\" encountered"); return false; } return true; } # if GTEST_OS_WINDOWS // Recreates the pipe and event handles from the provided parameters, // signals the event, and returns a file descriptor wrapped around the pipe // handle. This function is called in the child process only. int GetStatusFileDescriptor(unsigned int parent_process_id, size_t write_handle_as_size_t, size_t event_handle_as_size_t) { AutoHandle parent_process_handle(::OpenProcess(PROCESS_DUP_HANDLE, FALSE, // Non-inheritable. parent_process_id)); if (parent_process_handle.Get() == INVALID_HANDLE_VALUE) { DeathTestAbort("Unable to open parent process " + StreamableToString(parent_process_id)); } // TODO(vladl@google.com): Replace the following check with a // compile-time assertion when available. GTEST_CHECK_(sizeof(HANDLE) <= sizeof(size_t)); const HANDLE write_handle = reinterpret_cast(write_handle_as_size_t); HANDLE dup_write_handle; // The newly initialized handle is accessible only in in the parent // process. To obtain one accessible within the child, we need to use // DuplicateHandle. if (!::DuplicateHandle(parent_process_handle.Get(), write_handle, ::GetCurrentProcess(), &dup_write_handle, 0x0, // Requested privileges ignored since // DUPLICATE_SAME_ACCESS is used. FALSE, // Request non-inheritable handler. DUPLICATE_SAME_ACCESS)) { DeathTestAbort("Unable to duplicate the pipe handle " + StreamableToString(write_handle_as_size_t) + " from the parent process " + StreamableToString(parent_process_id)); } const HANDLE event_handle = reinterpret_cast(event_handle_as_size_t); HANDLE dup_event_handle; if (!::DuplicateHandle(parent_process_handle.Get(), event_handle, ::GetCurrentProcess(), &dup_event_handle, 0x0, FALSE, DUPLICATE_SAME_ACCESS)) { DeathTestAbort("Unable to duplicate the event handle " + StreamableToString(event_handle_as_size_t) + " from the parent process " + StreamableToString(parent_process_id)); } const int write_fd = ::_open_osfhandle(reinterpret_cast(dup_write_handle), O_APPEND); if (write_fd == -1) { DeathTestAbort("Unable to convert pipe handle " + StreamableToString(write_handle_as_size_t) + " to a file descriptor"); } // Signals the parent that the write end of the pipe has been acquired // so the parent can release its own write end. ::SetEvent(dup_event_handle); return write_fd; } # endif // GTEST_OS_WINDOWS // Returns a newly created InternalRunDeathTestFlag object with fields // initialized from the GTEST_FLAG(internal_run_death_test) flag if // the flag is specified; otherwise returns NULL. InternalRunDeathTestFlag* ParseInternalRunDeathTestFlag() { if (GTEST_FLAG(internal_run_death_test) == "") return NULL; // GTEST_HAS_DEATH_TEST implies that we have ::std::string, so we // can use it here. int line = -1; int index = -1; ::std::vector< ::std::string> fields; SplitString(GTEST_FLAG(internal_run_death_test).c_str(), '|', &fields); int write_fd = -1; # if GTEST_OS_WINDOWS unsigned int parent_process_id = 0; size_t write_handle_as_size_t = 0; size_t event_handle_as_size_t = 0; if (fields.size() != 6 || !ParseNaturalNumber(fields[1], &line) || !ParseNaturalNumber(fields[2], &index) || !ParseNaturalNumber(fields[3], &parent_process_id) || !ParseNaturalNumber(fields[4], &write_handle_as_size_t) || !ParseNaturalNumber(fields[5], &event_handle_as_size_t)) { DeathTestAbort("Bad --gtest_internal_run_death_test flag: " + GTEST_FLAG(internal_run_death_test)); } write_fd = GetStatusFileDescriptor(parent_process_id, write_handle_as_size_t, event_handle_as_size_t); # else if (fields.size() != 4 || !ParseNaturalNumber(fields[1], &line) || !ParseNaturalNumber(fields[2], &index) || !ParseNaturalNumber(fields[3], &write_fd)) { DeathTestAbort("Bad --gtest_internal_run_death_test flag: " + GTEST_FLAG(internal_run_death_test)); } # endif // GTEST_OS_WINDOWS return new InternalRunDeathTestFlag(fields[0], line, index, write_fd); } } // namespace internal #endif // GTEST_HAS_DEATH_TEST } // namespace testing ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest-filepath.cc0000644000175100017510000003433115112307767023440 0ustar00runnerrunner// Copyright 2008, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Authors: keith.ray@gmail.com (Keith Ray) #include "gtest/gtest-message.h" #include "gtest/internal/gtest-filepath.h" #include "gtest/internal/gtest-port.h" #include #if GTEST_OS_WINDOWS_MOBILE # include #elif GTEST_OS_WINDOWS # include # include #elif GTEST_OS_SYMBIAN // Symbian OpenC has PATH_MAX in sys/syslimits.h # include #else # include # include // Some Linux distributions define PATH_MAX here. #endif // GTEST_OS_WINDOWS_MOBILE #if GTEST_OS_WINDOWS # define GTEST_PATH_MAX_ _MAX_PATH #elif defined(PATH_MAX) # define GTEST_PATH_MAX_ PATH_MAX #elif defined(_XOPEN_PATH_MAX) # define GTEST_PATH_MAX_ _XOPEN_PATH_MAX #else # define GTEST_PATH_MAX_ _POSIX_PATH_MAX #endif // GTEST_OS_WINDOWS #include "gtest/internal/gtest-string.h" namespace testing { namespace internal { #if GTEST_OS_WINDOWS // On Windows, '\\' is the standard path separator, but many tools and the // Windows API also accept '/' as an alternate path separator. Unless otherwise // noted, a file path can contain either kind of path separators, or a mixture // of them. const char kPathSeparator = '\\'; const char kAlternatePathSeparator = '/'; const char kAlternatePathSeparatorString[] = "/"; # if GTEST_OS_WINDOWS_MOBILE // Windows CE doesn't have a current directory. You should not use // the current directory in tests on Windows CE, but this at least // provides a reasonable fallback. const char kCurrentDirectoryString[] = "\\"; // Windows CE doesn't define INVALID_FILE_ATTRIBUTES const DWORD kInvalidFileAttributes = 0xffffffff; # else const char kCurrentDirectoryString[] = ".\\"; # endif // GTEST_OS_WINDOWS_MOBILE #else const char kPathSeparator = '/'; const char kCurrentDirectoryString[] = "./"; #endif // GTEST_OS_WINDOWS // Returns whether the given character is a valid path separator. static bool IsPathSeparator(char c) { #if GTEST_HAS_ALT_PATH_SEP_ return (c == kPathSeparator) || (c == kAlternatePathSeparator); #else return c == kPathSeparator; #endif } // Returns the current working directory, or "" if unsuccessful. FilePath FilePath::GetCurrentDir() { #if GTEST_OS_WINDOWS_MOBILE || GTEST_OS_WINDOWS_PHONE || GTEST_OS_WINDOWS_RT // Windows CE doesn't have a current directory, so we just return // something reasonable. return FilePath(kCurrentDirectoryString); #elif GTEST_OS_WINDOWS char cwd[GTEST_PATH_MAX_ + 1] = { '\0' }; return FilePath(_getcwd(cwd, sizeof(cwd)) == NULL ? "" : cwd); #else char cwd[GTEST_PATH_MAX_ + 1] = { '\0' }; char* result = getcwd(cwd, sizeof(cwd)); # if GTEST_OS_NACL // getcwd will likely fail in NaCl due to the sandbox, so return something // reasonable. The user may have provided a shim implementation for getcwd, // however, so fallback only when failure is detected. return FilePath(result == NULL ? kCurrentDirectoryString : cwd); # endif // GTEST_OS_NACL return FilePath(result == NULL ? "" : cwd); #endif // GTEST_OS_WINDOWS_MOBILE } // Returns a copy of the FilePath with the case-insensitive extension removed. // Example: FilePath("dir/file.exe").RemoveExtension("EXE") returns // FilePath("dir/file"). If a case-insensitive extension is not // found, returns a copy of the original FilePath. FilePath FilePath::RemoveExtension(const char* extension) const { const std::string dot_extension = std::string(".") + extension; if (String::EndsWithCaseInsensitive(pathname_, dot_extension)) { return FilePath(pathname_.substr( 0, pathname_.length() - dot_extension.length())); } return *this; } // Returns a pointer to the last occurence of a valid path separator in // the FilePath. On Windows, for example, both '/' and '\' are valid path // separators. Returns NULL if no path separator was found. const char* FilePath::FindLastPathSeparator() const { const char* const last_sep = strrchr(c_str(), kPathSeparator); #if GTEST_HAS_ALT_PATH_SEP_ const char* const last_alt_sep = strrchr(c_str(), kAlternatePathSeparator); // Comparing two pointers of which only one is NULL is undefined. if (last_alt_sep != NULL && (last_sep == NULL || last_alt_sep > last_sep)) { return last_alt_sep; } #endif return last_sep; } // Returns a copy of the FilePath with the directory part removed. // Example: FilePath("path/to/file").RemoveDirectoryName() returns // FilePath("file"). If there is no directory part ("just_a_file"), it returns // the FilePath unmodified. If there is no file part ("just_a_dir/") it // returns an empty FilePath (""). // On Windows platform, '\' is the path separator, otherwise it is '/'. FilePath FilePath::RemoveDirectoryName() const { const char* const last_sep = FindLastPathSeparator(); return last_sep ? FilePath(last_sep + 1) : *this; } // RemoveFileName returns the directory path with the filename removed. // Example: FilePath("path/to/file").RemoveFileName() returns "path/to/". // If the FilePath is "a_file" or "/a_file", RemoveFileName returns // FilePath("./") or, on Windows, FilePath(".\\"). If the filepath does // not have a file, like "just/a/dir/", it returns the FilePath unmodified. // On Windows platform, '\' is the path separator, otherwise it is '/'. FilePath FilePath::RemoveFileName() const { const char* const last_sep = FindLastPathSeparator(); std::string dir; if (last_sep) { dir = std::string(c_str(), last_sep + 1 - c_str()); } else { dir = kCurrentDirectoryString; } return FilePath(dir); } // Helper functions for naming files in a directory for xml output. // Given directory = "dir", base_name = "test", number = 0, // extension = "xml", returns "dir/test.xml". If number is greater // than zero (e.g., 12), returns "dir/test_12.xml". // On Windows platform, uses \ as the separator rather than /. FilePath FilePath::MakeFileName(const FilePath& directory, const FilePath& base_name, int number, const char* extension) { std::string file; if (number == 0) { file = base_name.string() + "." + extension; } else { file = base_name.string() + "_" + StreamableToString(number) + "." + extension; } return ConcatPaths(directory, FilePath(file)); } // Given directory = "dir", relative_path = "test.xml", returns "dir/test.xml". // On Windows, uses \ as the separator rather than /. FilePath FilePath::ConcatPaths(const FilePath& directory, const FilePath& relative_path) { if (directory.IsEmpty()) return relative_path; const FilePath dir(directory.RemoveTrailingPathSeparator()); return FilePath(dir.string() + kPathSeparator + relative_path.string()); } // Returns true if pathname describes something findable in the file-system, // either a file, directory, or whatever. bool FilePath::FileOrDirectoryExists() const { #if GTEST_OS_WINDOWS_MOBILE LPCWSTR unicode = String::AnsiToUtf16(pathname_.c_str()); const DWORD attributes = GetFileAttributes(unicode); delete [] unicode; return attributes != kInvalidFileAttributes; #else posix::StatStruct file_stat; return posix::Stat(pathname_.c_str(), &file_stat) == 0; #endif // GTEST_OS_WINDOWS_MOBILE } // Returns true if pathname describes a directory in the file-system // that exists. bool FilePath::DirectoryExists() const { bool result = false; #if GTEST_OS_WINDOWS // Don't strip off trailing separator if path is a root directory on // Windows (like "C:\\"). const FilePath& path(IsRootDirectory() ? *this : RemoveTrailingPathSeparator()); #else const FilePath& path(*this); #endif #if GTEST_OS_WINDOWS_MOBILE LPCWSTR unicode = String::AnsiToUtf16(path.c_str()); const DWORD attributes = GetFileAttributes(unicode); delete [] unicode; if ((attributes != kInvalidFileAttributes) && (attributes & FILE_ATTRIBUTE_DIRECTORY)) { result = true; } #else posix::StatStruct file_stat; result = posix::Stat(path.c_str(), &file_stat) == 0 && posix::IsDir(file_stat); #endif // GTEST_OS_WINDOWS_MOBILE return result; } // Returns true if pathname describes a root directory. (Windows has one // root directory per disk drive.) bool FilePath::IsRootDirectory() const { #if GTEST_OS_WINDOWS // TODO(wan@google.com): on Windows a network share like // \\server\share can be a root directory, although it cannot be the // current directory. Handle this properly. return pathname_.length() == 3 && IsAbsolutePath(); #else return pathname_.length() == 1 && IsPathSeparator(pathname_.c_str()[0]); #endif } // Returns true if pathname describes an absolute path. bool FilePath::IsAbsolutePath() const { const char* const name = pathname_.c_str(); #if GTEST_OS_WINDOWS return pathname_.length() >= 3 && ((name[0] >= 'a' && name[0] <= 'z') || (name[0] >= 'A' && name[0] <= 'Z')) && name[1] == ':' && IsPathSeparator(name[2]); #else return IsPathSeparator(name[0]); #endif } // Returns a pathname for a file that does not currently exist. The pathname // will be directory/base_name.extension or // directory/base_name_.extension if directory/base_name.extension // already exists. The number will be incremented until a pathname is found // that does not already exist. // Examples: 'dir/foo_test.xml' or 'dir/foo_test_1.xml'. // There could be a race condition if two or more processes are calling this // function at the same time -- they could both pick the same filename. FilePath FilePath::GenerateUniqueFileName(const FilePath& directory, const FilePath& base_name, const char* extension) { FilePath full_pathname; int number = 0; do { full_pathname.Set(MakeFileName(directory, base_name, number++, extension)); } while (full_pathname.FileOrDirectoryExists()); return full_pathname; } // Returns true if FilePath ends with a path separator, which indicates that // it is intended to represent a directory. Returns false otherwise. // This does NOT check that a directory (or file) actually exists. bool FilePath::IsDirectory() const { return !pathname_.empty() && IsPathSeparator(pathname_.c_str()[pathname_.length() - 1]); } // Create directories so that path exists. Returns true if successful or if // the directories already exist; returns false if unable to create directories // for any reason. bool FilePath::CreateDirectoriesRecursively() const { if (!this->IsDirectory()) { return false; } if (pathname_.length() == 0 || this->DirectoryExists()) { return true; } const FilePath parent(this->RemoveTrailingPathSeparator().RemoveFileName()); return parent.CreateDirectoriesRecursively() && this->CreateFolder(); } // Create the directory so that path exists. Returns true if successful or // if the directory already exists; returns false if unable to create the // directory for any reason, including if the parent directory does not // exist. Not named "CreateDirectory" because that's a macro on Windows. bool FilePath::CreateFolder() const { #if GTEST_OS_WINDOWS_MOBILE FilePath removed_sep(this->RemoveTrailingPathSeparator()); LPCWSTR unicode = String::AnsiToUtf16(removed_sep.c_str()); int result = CreateDirectory(unicode, NULL) ? 0 : -1; delete [] unicode; #elif GTEST_OS_WINDOWS int result = _mkdir(pathname_.c_str()); #else int result = mkdir(pathname_.c_str(), 0777); #endif // GTEST_OS_WINDOWS_MOBILE if (result == -1) { return this->DirectoryExists(); // An error is OK if the directory exists. } return true; // No error. } // If input name has a trailing separator character, remove it and return the // name, otherwise return the name string unmodified. // On Windows platform, uses \ as the separator, other platforms use /. FilePath FilePath::RemoveTrailingPathSeparator() const { return IsDirectory() ? FilePath(pathname_.substr(0, pathname_.length() - 1)) : *this; } // Removes any redundant separators that might be in the pathname. // For example, "bar///foo" becomes "bar/foo". Does not eliminate other // redundancies that might be in a pathname involving "." or "..". // TODO(wan@google.com): handle Windows network shares (e.g. \\server\share). void FilePath::Normalize() { if (pathname_.c_str() == NULL) { pathname_ = ""; return; } const char* src = pathname_.c_str(); char* const dest = new char[pathname_.length() + 1]; char* dest_ptr = dest; memset(dest_ptr, 0, pathname_.length() + 1); while (*src != '\0') { *dest_ptr = *src; if (!IsPathSeparator(*src)) { src++; } else { #if GTEST_HAS_ALT_PATH_SEP_ if (*dest_ptr == kAlternatePathSeparator) { *dest_ptr = kPathSeparator; } #endif while (IsPathSeparator(*src)) src++; } dest_ptr++; } *dest_ptr = '\0'; pathname_ = dest; delete[] dest; } } // namespace internal } // namespace testing ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest-internal-inl.h0000644000175100017510000013064315112307767024105 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // Utility functions and classes used by the Google C++ testing framework. // // Author: wan@google.com (Zhanyong Wan) // // This file contains purely Google Test's internal implementation. Please // DO NOT #INCLUDE IT IN A USER PROGRAM. #ifndef GTEST_SRC_GTEST_INTERNAL_INL_H_ #define GTEST_SRC_GTEST_INTERNAL_INL_H_ // GTEST_IMPLEMENTATION_ is defined to 1 iff the current translation unit is // part of Google Test's implementation; otherwise it's undefined. #if !GTEST_IMPLEMENTATION_ // If this file is included from the user's code, just say no. # error "gtest-internal-inl.h is part of Google Test's internal implementation." # error "It must not be included except by Google Test itself." #endif // GTEST_IMPLEMENTATION_ #ifndef _WIN32_WCE # include #endif // !_WIN32_WCE #include #include // For strtoll/_strtoul64/malloc/free. #include // For memmove. #include #include #include #include "gtest/internal/gtest-port.h" #if GTEST_CAN_STREAM_RESULTS_ # include // NOLINT # include // NOLINT #endif #if GTEST_OS_WINDOWS # include // NOLINT #endif // GTEST_OS_WINDOWS #include "gtest/gtest.h" // NOLINT #include "gtest/gtest-spi.h" namespace testing { // Declares the flags. // // We don't want the users to modify this flag in the code, but want // Google Test's own unit tests to be able to access it. Therefore we // declare it here as opposed to in gtest.h. GTEST_DECLARE_bool_(death_test_use_fork); namespace internal { // The value of GetTestTypeId() as seen from within the Google Test // library. This is solely for testing GetTestTypeId(). GTEST_API_ extern const TypeId kTestTypeIdInGoogleTest; // Names of the flags (needed for parsing Google Test flags). const char kAlsoRunDisabledTestsFlag[] = "also_run_disabled_tests"; const char kBreakOnFailureFlag[] = "break_on_failure"; const char kCatchExceptionsFlag[] = "catch_exceptions"; const char kColorFlag[] = "color"; const char kFilterFlag[] = "filter"; const char kListTestsFlag[] = "list_tests"; const char kOutputFlag[] = "output"; const char kPrintTimeFlag[] = "print_time"; const char kRandomSeedFlag[] = "random_seed"; const char kRepeatFlag[] = "repeat"; const char kShuffleFlag[] = "shuffle"; const char kStackTraceDepthFlag[] = "stack_trace_depth"; const char kStreamResultToFlag[] = "stream_result_to"; const char kThrowOnFailureFlag[] = "throw_on_failure"; const char kFlagfileFlag[] = "flagfile"; // A valid random seed must be in [1, kMaxRandomSeed]. const int kMaxRandomSeed = 99999; // g_help_flag is true iff the --help flag or an equivalent form is // specified on the command line. GTEST_API_ extern bool g_help_flag; // Returns the current time in milliseconds. GTEST_API_ TimeInMillis GetTimeInMillis(); // Returns true iff Google Test should use colors in the output. GTEST_API_ bool ShouldUseColor(bool stdout_is_tty); // Formats the given time in milliseconds as seconds. GTEST_API_ std::string FormatTimeInMillisAsSeconds(TimeInMillis ms); // Converts the given time in milliseconds to a date string in the ISO 8601 // format, without the timezone information. N.B.: due to the use the // non-reentrant localtime() function, this function is not thread safe. Do // not use it in any code that can be called from multiple threads. GTEST_API_ std::string FormatEpochTimeInMillisAsIso8601(TimeInMillis ms); // Parses a string for an Int32 flag, in the form of "--flag=value". // // On success, stores the value of the flag in *value, and returns // true. On failure, returns false without changing *value. GTEST_API_ bool ParseInt32Flag( const char* str, const char* flag, Int32* value); // Returns a random seed in range [1, kMaxRandomSeed] based on the // given --gtest_random_seed flag value. inline int GetRandomSeedFromFlag(Int32 random_seed_flag) { const unsigned int raw_seed = (random_seed_flag == 0) ? static_cast(GetTimeInMillis()) : static_cast(random_seed_flag); // Normalizes the actual seed to range [1, kMaxRandomSeed] such that // it's easy to type. const int normalized_seed = static_cast((raw_seed - 1U) % static_cast(kMaxRandomSeed)) + 1; return normalized_seed; } // Returns the first valid random seed after 'seed'. The behavior is // undefined if 'seed' is invalid. The seed after kMaxRandomSeed is // considered to be 1. inline int GetNextRandomSeed(int seed) { GTEST_CHECK_(1 <= seed && seed <= kMaxRandomSeed) << "Invalid random seed " << seed << " - must be in [1, " << kMaxRandomSeed << "]."; const int next_seed = seed + 1; return (next_seed > kMaxRandomSeed) ? 1 : next_seed; } // This class saves the values of all Google Test flags in its c'tor, and // restores them in its d'tor. class GTestFlagSaver { public: // The c'tor. GTestFlagSaver() { also_run_disabled_tests_ = GTEST_FLAG(also_run_disabled_tests); break_on_failure_ = GTEST_FLAG(break_on_failure); catch_exceptions_ = GTEST_FLAG(catch_exceptions); color_ = GTEST_FLAG(color); death_test_style_ = GTEST_FLAG(death_test_style); death_test_use_fork_ = GTEST_FLAG(death_test_use_fork); filter_ = GTEST_FLAG(filter); internal_run_death_test_ = GTEST_FLAG(internal_run_death_test); list_tests_ = GTEST_FLAG(list_tests); output_ = GTEST_FLAG(output); print_time_ = GTEST_FLAG(print_time); random_seed_ = GTEST_FLAG(random_seed); repeat_ = GTEST_FLAG(repeat); shuffle_ = GTEST_FLAG(shuffle); stack_trace_depth_ = GTEST_FLAG(stack_trace_depth); stream_result_to_ = GTEST_FLAG(stream_result_to); throw_on_failure_ = GTEST_FLAG(throw_on_failure); } // The d'tor is not virtual. DO NOT INHERIT FROM THIS CLASS. ~GTestFlagSaver() { GTEST_FLAG(also_run_disabled_tests) = also_run_disabled_tests_; GTEST_FLAG(break_on_failure) = break_on_failure_; GTEST_FLAG(catch_exceptions) = catch_exceptions_; GTEST_FLAG(color) = color_; GTEST_FLAG(death_test_style) = death_test_style_; GTEST_FLAG(death_test_use_fork) = death_test_use_fork_; GTEST_FLAG(filter) = filter_; GTEST_FLAG(internal_run_death_test) = internal_run_death_test_; GTEST_FLAG(list_tests) = list_tests_; GTEST_FLAG(output) = output_; GTEST_FLAG(print_time) = print_time_; GTEST_FLAG(random_seed) = random_seed_; GTEST_FLAG(repeat) = repeat_; GTEST_FLAG(shuffle) = shuffle_; GTEST_FLAG(stack_trace_depth) = stack_trace_depth_; GTEST_FLAG(stream_result_to) = stream_result_to_; GTEST_FLAG(throw_on_failure) = throw_on_failure_; } private: // Fields for saving the original values of flags. bool also_run_disabled_tests_; bool break_on_failure_; bool catch_exceptions_; std::string color_; std::string death_test_style_; bool death_test_use_fork_; std::string filter_; std::string internal_run_death_test_; bool list_tests_; std::string output_; bool print_time_; internal::Int32 random_seed_; internal::Int32 repeat_; bool shuffle_; internal::Int32 stack_trace_depth_; std::string stream_result_to_; bool throw_on_failure_; } GTEST_ATTRIBUTE_UNUSED_; // Converts a Unicode code point to a narrow string in UTF-8 encoding. // code_point parameter is of type UInt32 because wchar_t may not be // wide enough to contain a code point. // If the code_point is not a valid Unicode code point // (i.e. outside of Unicode range U+0 to U+10FFFF) it will be converted // to "(Invalid Unicode 0xXXXXXXXX)". GTEST_API_ std::string CodePointToUtf8(UInt32 code_point); // Converts a wide string to a narrow string in UTF-8 encoding. // The wide string is assumed to have the following encoding: // UTF-16 if sizeof(wchar_t) == 2 (on Windows, Cygwin, Symbian OS) // UTF-32 if sizeof(wchar_t) == 4 (on Linux) // Parameter str points to a null-terminated wide string. // Parameter num_chars may additionally limit the number // of wchar_t characters processed. -1 is used when the entire string // should be processed. // If the string contains code points that are not valid Unicode code points // (i.e. outside of Unicode range U+0 to U+10FFFF) they will be output // as '(Invalid Unicode 0xXXXXXXXX)'. If the string is in UTF16 encoding // and contains invalid UTF-16 surrogate pairs, values in those pairs // will be encoded as individual Unicode characters from Basic Normal Plane. GTEST_API_ std::string WideStringToUtf8(const wchar_t* str, int num_chars); // Reads the GTEST_SHARD_STATUS_FILE environment variable, and creates the file // if the variable is present. If a file already exists at this location, this // function will write over it. If the variable is present, but the file cannot // be created, prints an error and exits. void WriteToShardStatusFileIfNeeded(); // Checks whether sharding is enabled by examining the relevant // environment variable values. If the variables are present, // but inconsistent (e.g., shard_index >= total_shards), prints // an error and exits. If in_subprocess_for_death_test, sharding is // disabled because it must only be applied to the original test // process. Otherwise, we could filter out death tests we intended to execute. GTEST_API_ bool ShouldShard(const char* total_shards_str, const char* shard_index_str, bool in_subprocess_for_death_test); // Parses the environment variable var as an Int32. If it is unset, // returns default_val. If it is not an Int32, prints an error and // and aborts. GTEST_API_ Int32 Int32FromEnvOrDie(const char* env_var, Int32 default_val); // Given the total number of shards, the shard index, and the test id, // returns true iff the test should be run on this shard. The test id is // some arbitrary but unique non-negative integer assigned to each test // method. Assumes that 0 <= shard_index < total_shards. GTEST_API_ bool ShouldRunTestOnShard( int total_shards, int shard_index, int test_id); // STL container utilities. // Returns the number of elements in the given container that satisfy // the given predicate. template inline int CountIf(const Container& c, Predicate predicate) { // Implemented as an explicit loop since std::count_if() in libCstd on // Solaris has a non-standard signature. int count = 0; for (typename Container::const_iterator it = c.begin(); it != c.end(); ++it) { if (predicate(*it)) ++count; } return count; } // Applies a function/functor to each element in the container. template void ForEach(const Container& c, Functor functor) { std::for_each(c.begin(), c.end(), functor); } // Returns the i-th element of the vector, or default_value if i is not // in range [0, v.size()). template inline E GetElementOr(const std::vector& v, int i, E default_value) { return (i < 0 || i >= static_cast(v.size())) ? default_value : v[i]; } // Performs an in-place shuffle of a range of the vector's elements. // 'begin' and 'end' are element indices as an STL-style range; // i.e. [begin, end) are shuffled, where 'end' == size() means to // shuffle to the end of the vector. template void ShuffleRange(internal::Random* random, int begin, int end, std::vector* v) { const int size = static_cast(v->size()); GTEST_CHECK_(0 <= begin && begin <= size) << "Invalid shuffle range start " << begin << ": must be in range [0, " << size << "]."; GTEST_CHECK_(begin <= end && end <= size) << "Invalid shuffle range finish " << end << ": must be in range [" << begin << ", " << size << "]."; // Fisher-Yates shuffle, from // http://en.wikipedia.org/wiki/Fisher-Yates_shuffle for (int range_width = end - begin; range_width >= 2; range_width--) { const int last_in_range = begin + range_width - 1; const int selected = begin + random->Generate(range_width); std::swap((*v)[selected], (*v)[last_in_range]); } } // Performs an in-place shuffle of the vector's elements. template inline void Shuffle(internal::Random* random, std::vector* v) { ShuffleRange(random, 0, static_cast(v->size()), v); } // A function for deleting an object. Handy for being used as a // functor. template static void Delete(T* x) { delete x; } // A predicate that checks the key of a TestProperty against a known key. // // TestPropertyKeyIs is copyable. class TestPropertyKeyIs { public: // Constructor. // // TestPropertyKeyIs has NO default constructor. explicit TestPropertyKeyIs(const std::string& key) : key_(key) {} // Returns true iff the test name of test property matches on key_. bool operator()(const TestProperty& test_property) const { return test_property.key() == key_; } private: std::string key_; }; // Class UnitTestOptions. // // This class contains functions for processing options the user // specifies when running the tests. It has only static members. // // In most cases, the user can specify an option using either an // environment variable or a command line flag. E.g. you can set the // test filter using either GTEST_FILTER or --gtest_filter. If both // the variable and the flag are present, the latter overrides the // former. class GTEST_API_ UnitTestOptions { public: // Functions for processing the gtest_output flag. // Returns the output format, or "" for normal printed output. static std::string GetOutputFormat(); // Returns the absolute path of the requested output file, or the // default (test_detail.xml in the original working directory) if // none was explicitly specified. static std::string GetAbsolutePathToOutputFile(); // Functions for processing the gtest_filter flag. // Returns true iff the wildcard pattern matches the string. The // first ':' or '\0' character in pattern marks the end of it. // // This recursive algorithm isn't very efficient, but is clear and // works well enough for matching test names, which are short. static bool PatternMatchesString(const char *pattern, const char *str); // Returns true iff the user-specified filter matches the test case // name and the test name. static bool FilterMatchesTest(const std::string &test_case_name, const std::string &test_name); #if GTEST_OS_WINDOWS // Function for supporting the gtest_catch_exception flag. // Returns EXCEPTION_EXECUTE_HANDLER if Google Test should handle the // given SEH exception, or EXCEPTION_CONTINUE_SEARCH otherwise. // This function is useful as an __except condition. static int GTestShouldProcessSEH(DWORD exception_code); #endif // GTEST_OS_WINDOWS // Returns true if "name" matches the ':' separated list of glob-style // filters in "filter". static bool MatchesFilter(const std::string& name, const char* filter); }; // Returns the current application's name, removing directory path if that // is present. Used by UnitTestOptions::GetOutputFile. GTEST_API_ FilePath GetCurrentExecutableName(); // The role interface for getting the OS stack trace as a string. class OsStackTraceGetterInterface { public: OsStackTraceGetterInterface() {} virtual ~OsStackTraceGetterInterface() {} // Returns the current OS stack trace as an std::string. Parameters: // // max_depth - the maximum number of stack frames to be included // in the trace. // skip_count - the number of top frames to be skipped; doesn't count // against max_depth. virtual string CurrentStackTrace(int max_depth, int skip_count) = 0; // UponLeavingGTest() should be called immediately before Google Test calls // user code. It saves some information about the current stack that // CurrentStackTrace() will use to find and hide Google Test stack frames. virtual void UponLeavingGTest() = 0; // This string is inserted in place of stack frames that are part of // Google Test's implementation. static const char* const kElidedFramesMarker; private: GTEST_DISALLOW_COPY_AND_ASSIGN_(OsStackTraceGetterInterface); }; // A working implementation of the OsStackTraceGetterInterface interface. class OsStackTraceGetter : public OsStackTraceGetterInterface { public: OsStackTraceGetter() {} virtual string CurrentStackTrace(int max_depth, int skip_count); virtual void UponLeavingGTest(); private: GTEST_DISALLOW_COPY_AND_ASSIGN_(OsStackTraceGetter); }; // Information about a Google Test trace point. struct TraceInfo { const char* file; int line; std::string message; }; // This is the default global test part result reporter used in UnitTestImpl. // This class should only be used by UnitTestImpl. class DefaultGlobalTestPartResultReporter : public TestPartResultReporterInterface { public: explicit DefaultGlobalTestPartResultReporter(UnitTestImpl* unit_test); // Implements the TestPartResultReporterInterface. Reports the test part // result in the current test. virtual void ReportTestPartResult(const TestPartResult& result); private: UnitTestImpl* const unit_test_; GTEST_DISALLOW_COPY_AND_ASSIGN_(DefaultGlobalTestPartResultReporter); }; // This is the default per thread test part result reporter used in // UnitTestImpl. This class should only be used by UnitTestImpl. class DefaultPerThreadTestPartResultReporter : public TestPartResultReporterInterface { public: explicit DefaultPerThreadTestPartResultReporter(UnitTestImpl* unit_test); // Implements the TestPartResultReporterInterface. The implementation just // delegates to the current global test part result reporter of *unit_test_. virtual void ReportTestPartResult(const TestPartResult& result); private: UnitTestImpl* const unit_test_; GTEST_DISALLOW_COPY_AND_ASSIGN_(DefaultPerThreadTestPartResultReporter); }; // The private implementation of the UnitTest class. We don't protect // the methods under a mutex, as this class is not accessible by a // user and the UnitTest class that delegates work to this class does // proper locking. class GTEST_API_ UnitTestImpl { public: explicit UnitTestImpl(UnitTest* parent); virtual ~UnitTestImpl(); // There are two different ways to register your own TestPartResultReporter. // You can register your own repoter to listen either only for test results // from the current thread or for results from all threads. // By default, each per-thread test result repoter just passes a new // TestPartResult to the global test result reporter, which registers the // test part result for the currently running test. // Returns the global test part result reporter. TestPartResultReporterInterface* GetGlobalTestPartResultReporter(); // Sets the global test part result reporter. void SetGlobalTestPartResultReporter( TestPartResultReporterInterface* reporter); // Returns the test part result reporter for the current thread. TestPartResultReporterInterface* GetTestPartResultReporterForCurrentThread(); // Sets the test part result reporter for the current thread. void SetTestPartResultReporterForCurrentThread( TestPartResultReporterInterface* reporter); // Gets the number of successful test cases. int successful_test_case_count() const; // Gets the number of failed test cases. int failed_test_case_count() const; // Gets the number of all test cases. int total_test_case_count() const; // Gets the number of all test cases that contain at least one test // that should run. int test_case_to_run_count() const; // Gets the number of successful tests. int successful_test_count() const; // Gets the number of failed tests. int failed_test_count() const; // Gets the number of disabled tests that will be reported in the XML report. int reportable_disabled_test_count() const; // Gets the number of disabled tests. int disabled_test_count() const; // Gets the number of tests to be printed in the XML report. int reportable_test_count() const; // Gets the number of all tests. int total_test_count() const; // Gets the number of tests that should run. int test_to_run_count() const; // Gets the time of the test program start, in ms from the start of the // UNIX epoch. TimeInMillis start_timestamp() const { return start_timestamp_; } // Gets the elapsed time, in milliseconds. TimeInMillis elapsed_time() const { return elapsed_time_; } // Returns true iff the unit test passed (i.e. all test cases passed). bool Passed() const { return !Failed(); } // Returns true iff the unit test failed (i.e. some test case failed // or something outside of all tests failed). bool Failed() const { return failed_test_case_count() > 0 || ad_hoc_test_result()->Failed(); } // Gets the i-th test case among all the test cases. i can range from 0 to // total_test_case_count() - 1. If i is not in that range, returns NULL. const TestCase* GetTestCase(int i) const { const int index = GetElementOr(test_case_indices_, i, -1); return index < 0 ? NULL : test_cases_[i]; } // Gets the i-th test case among all the test cases. i can range from 0 to // total_test_case_count() - 1. If i is not in that range, returns NULL. TestCase* GetMutableTestCase(int i) { const int index = GetElementOr(test_case_indices_, i, -1); return index < 0 ? NULL : test_cases_[index]; } // Provides access to the event listener list. TestEventListeners* listeners() { return &listeners_; } // Returns the TestResult for the test that's currently running, or // the TestResult for the ad hoc test if no test is running. TestResult* current_test_result(); // Returns the TestResult for the ad hoc test. const TestResult* ad_hoc_test_result() const { return &ad_hoc_test_result_; } // Sets the OS stack trace getter. // // Does nothing if the input and the current OS stack trace getter // are the same; otherwise, deletes the old getter and makes the // input the current getter. void set_os_stack_trace_getter(OsStackTraceGetterInterface* getter); // Returns the current OS stack trace getter if it is not NULL; // otherwise, creates an OsStackTraceGetter, makes it the current // getter, and returns it. OsStackTraceGetterInterface* os_stack_trace_getter(); // Returns the current OS stack trace as an std::string. // // The maximum number of stack frames to be included is specified by // the gtest_stack_trace_depth flag. The skip_count parameter // specifies the number of top frames to be skipped, which doesn't // count against the number of frames to be included. // // For example, if Foo() calls Bar(), which in turn calls // CurrentOsStackTraceExceptTop(1), Foo() will be included in the // trace but Bar() and CurrentOsStackTraceExceptTop() won't. std::string CurrentOsStackTraceExceptTop(int skip_count) GTEST_NO_INLINE_; // Finds and returns a TestCase with the given name. If one doesn't // exist, creates one and returns it. // // Arguments: // // test_case_name: name of the test case // type_param: the name of the test's type parameter, or NULL if // this is not a typed or a type-parameterized test. // set_up_tc: pointer to the function that sets up the test case // tear_down_tc: pointer to the function that tears down the test case TestCase* GetTestCase(const char* test_case_name, const char* type_param, Test::SetUpTestCaseFunc set_up_tc, Test::TearDownTestCaseFunc tear_down_tc); // Adds a TestInfo to the unit test. // // Arguments: // // set_up_tc: pointer to the function that sets up the test case // tear_down_tc: pointer to the function that tears down the test case // test_info: the TestInfo object void AddTestInfo(Test::SetUpTestCaseFunc set_up_tc, Test::TearDownTestCaseFunc tear_down_tc, TestInfo* test_info) { // In order to support thread-safe death tests, we need to // remember the original working directory when the test program // was first invoked. We cannot do this in RUN_ALL_TESTS(), as // the user may have changed the current directory before calling // RUN_ALL_TESTS(). Therefore we capture the current directory in // AddTestInfo(), which is called to register a TEST or TEST_F // before main() is reached. if (original_working_dir_.IsEmpty()) { original_working_dir_.Set(FilePath::GetCurrentDir()); GTEST_CHECK_(!original_working_dir_.IsEmpty()) << "Failed to get the current working directory."; } GetTestCase(test_info->test_case_name(), test_info->type_param(), set_up_tc, tear_down_tc)->AddTestInfo(test_info); } #if GTEST_HAS_PARAM_TEST // Returns ParameterizedTestCaseRegistry object used to keep track of // value-parameterized tests and instantiate and register them. internal::ParameterizedTestCaseRegistry& parameterized_test_registry() { return parameterized_test_registry_; } #endif // GTEST_HAS_PARAM_TEST // Sets the TestCase object for the test that's currently running. void set_current_test_case(TestCase* a_current_test_case) { current_test_case_ = a_current_test_case; } // Sets the TestInfo object for the test that's currently running. If // current_test_info is NULL, the assertion results will be stored in // ad_hoc_test_result_. void set_current_test_info(TestInfo* a_current_test_info) { current_test_info_ = a_current_test_info; } // Registers all parameterized tests defined using TEST_P and // INSTANTIATE_TEST_CASE_P, creating regular tests for each test/parameter // combination. This method can be called more then once; it has guards // protecting from registering the tests more then once. If // value-parameterized tests are disabled, RegisterParameterizedTests is // present but does nothing. void RegisterParameterizedTests(); // Runs all tests in this UnitTest object, prints the result, and // returns true if all tests are successful. If any exception is // thrown during a test, this test is considered to be failed, but // the rest of the tests will still be run. bool RunAllTests(); // Clears the results of all tests, except the ad hoc tests. void ClearNonAdHocTestResult() { ForEach(test_cases_, TestCase::ClearTestCaseResult); } // Clears the results of ad-hoc test assertions. void ClearAdHocTestResult() { ad_hoc_test_result_.Clear(); } // Adds a TestProperty to the current TestResult object when invoked in a // context of a test or a test case, or to the global property set. If the // result already contains a property with the same key, the value will be // updated. void RecordProperty(const TestProperty& test_property); enum ReactionToSharding { HONOR_SHARDING_PROTOCOL, IGNORE_SHARDING_PROTOCOL }; // Matches the full name of each test against the user-specified // filter to decide whether the test should run, then records the // result in each TestCase and TestInfo object. // If shard_tests == HONOR_SHARDING_PROTOCOL, further filters tests // based on sharding variables in the environment. // Returns the number of tests that should run. int FilterTests(ReactionToSharding shard_tests); // Prints the names of the tests matching the user-specified filter flag. void ListTestsMatchingFilter(); const TestCase* current_test_case() const { return current_test_case_; } TestInfo* current_test_info() { return current_test_info_; } const TestInfo* current_test_info() const { return current_test_info_; } // Returns the vector of environments that need to be set-up/torn-down // before/after the tests are run. std::vector& environments() { return environments_; } // Getters for the per-thread Google Test trace stack. std::vector& gtest_trace_stack() { return *(gtest_trace_stack_.pointer()); } const std::vector& gtest_trace_stack() const { return gtest_trace_stack_.get(); } #if GTEST_HAS_DEATH_TEST void InitDeathTestSubprocessControlInfo() { internal_run_death_test_flag_.reset(ParseInternalRunDeathTestFlag()); } // Returns a pointer to the parsed --gtest_internal_run_death_test // flag, or NULL if that flag was not specified. // This information is useful only in a death test child process. // Must not be called before a call to InitGoogleTest. const InternalRunDeathTestFlag* internal_run_death_test_flag() const { return internal_run_death_test_flag_.get(); } // Returns a pointer to the current death test factory. internal::DeathTestFactory* death_test_factory() { return death_test_factory_.get(); } void SuppressTestEventsIfInSubprocess(); friend class ReplaceDeathTestFactory; #endif // GTEST_HAS_DEATH_TEST // Initializes the event listener performing XML output as specified by // UnitTestOptions. Must not be called before InitGoogleTest. void ConfigureXmlOutput(); #if GTEST_CAN_STREAM_RESULTS_ // Initializes the event listener for streaming test results to a socket. // Must not be called before InitGoogleTest. void ConfigureStreamingOutput(); #endif // Performs initialization dependent upon flag values obtained in // ParseGoogleTestFlagsOnly. Is called from InitGoogleTest after the call to // ParseGoogleTestFlagsOnly. In case a user neglects to call InitGoogleTest // this function is also called from RunAllTests. Since this function can be // called more than once, it has to be idempotent. void PostFlagParsingInit(); // Gets the random seed used at the start of the current test iteration. int random_seed() const { return random_seed_; } // Gets the random number generator. internal::Random* random() { return &random_; } // Shuffles all test cases, and the tests within each test case, // making sure that death tests are still run first. void ShuffleTests(); // Restores the test cases and tests to their order before the first shuffle. void UnshuffleTests(); // Returns the value of GTEST_FLAG(catch_exceptions) at the moment // UnitTest::Run() starts. bool catch_exceptions() const { return catch_exceptions_; } private: friend class ::testing::UnitTest; // Used by UnitTest::Run() to capture the state of // GTEST_FLAG(catch_exceptions) at the moment it starts. void set_catch_exceptions(bool value) { catch_exceptions_ = value; } // The UnitTest object that owns this implementation object. UnitTest* const parent_; // The working directory when the first TEST() or TEST_F() was // executed. internal::FilePath original_working_dir_; // The default test part result reporters. DefaultGlobalTestPartResultReporter default_global_test_part_result_reporter_; DefaultPerThreadTestPartResultReporter default_per_thread_test_part_result_reporter_; // Points to (but doesn't own) the global test part result reporter. TestPartResultReporterInterface* global_test_part_result_repoter_; // Protects read and write access to global_test_part_result_reporter_. internal::Mutex global_test_part_result_reporter_mutex_; // Points to (but doesn't own) the per-thread test part result reporter. internal::ThreadLocal per_thread_test_part_result_reporter_; // The vector of environments that need to be set-up/torn-down // before/after the tests are run. std::vector environments_; // The vector of TestCases in their original order. It owns the // elements in the vector. std::vector test_cases_; // Provides a level of indirection for the test case list to allow // easy shuffling and restoring the test case order. The i-th // element of this vector is the index of the i-th test case in the // shuffled order. std::vector test_case_indices_; #if GTEST_HAS_PARAM_TEST // ParameterizedTestRegistry object used to register value-parameterized // tests. internal::ParameterizedTestCaseRegistry parameterized_test_registry_; // Indicates whether RegisterParameterizedTests() has been called already. bool parameterized_tests_registered_; #endif // GTEST_HAS_PARAM_TEST // Index of the last death test case registered. Initially -1. int last_death_test_case_; // This points to the TestCase for the currently running test. It // changes as Google Test goes through one test case after another. // When no test is running, this is set to NULL and Google Test // stores assertion results in ad_hoc_test_result_. Initially NULL. TestCase* current_test_case_; // This points to the TestInfo for the currently running test. It // changes as Google Test goes through one test after another. When // no test is running, this is set to NULL and Google Test stores // assertion results in ad_hoc_test_result_. Initially NULL. TestInfo* current_test_info_; // Normally, a user only writes assertions inside a TEST or TEST_F, // or inside a function called by a TEST or TEST_F. Since Google // Test keeps track of which test is current running, it can // associate such an assertion with the test it belongs to. // // If an assertion is encountered when no TEST or TEST_F is running, // Google Test attributes the assertion result to an imaginary "ad hoc" // test, and records the result in ad_hoc_test_result_. TestResult ad_hoc_test_result_; // The list of event listeners that can be used to track events inside // Google Test. TestEventListeners listeners_; // The OS stack trace getter. Will be deleted when the UnitTest // object is destructed. By default, an OsStackTraceGetter is used, // but the user can set this field to use a custom getter if that is // desired. OsStackTraceGetterInterface* os_stack_trace_getter_; // True iff PostFlagParsingInit() has been called. bool post_flag_parse_init_performed_; // The random number seed used at the beginning of the test run. int random_seed_; // Our random number generator. internal::Random random_; // The time of the test program start, in ms from the start of the // UNIX epoch. TimeInMillis start_timestamp_; // How long the test took to run, in milliseconds. TimeInMillis elapsed_time_; #if GTEST_HAS_DEATH_TEST // The decomposed components of the gtest_internal_run_death_test flag, // parsed when RUN_ALL_TESTS is called. internal::scoped_ptr internal_run_death_test_flag_; internal::scoped_ptr death_test_factory_; #endif // GTEST_HAS_DEATH_TEST // A per-thread stack of traces created by the SCOPED_TRACE() macro. internal::ThreadLocal > gtest_trace_stack_; // The value of GTEST_FLAG(catch_exceptions) at the moment RunAllTests() // starts. bool catch_exceptions_; GTEST_DISALLOW_COPY_AND_ASSIGN_(UnitTestImpl); }; // class UnitTestImpl // Convenience function for accessing the global UnitTest // implementation object. inline UnitTestImpl* GetUnitTestImpl() { return UnitTest::GetInstance()->impl(); } #if GTEST_USES_SIMPLE_RE // Internal helper functions for implementing the simple regular // expression matcher. GTEST_API_ bool IsInSet(char ch, const char* str); GTEST_API_ bool IsAsciiDigit(char ch); GTEST_API_ bool IsAsciiPunct(char ch); GTEST_API_ bool IsRepeat(char ch); GTEST_API_ bool IsAsciiWhiteSpace(char ch); GTEST_API_ bool IsAsciiWordChar(char ch); GTEST_API_ bool IsValidEscape(char ch); GTEST_API_ bool AtomMatchesChar(bool escaped, char pattern, char ch); GTEST_API_ bool ValidateRegex(const char* regex); GTEST_API_ bool MatchRegexAtHead(const char* regex, const char* str); GTEST_API_ bool MatchRepetitionAndRegexAtHead( bool escaped, char ch, char repeat, const char* regex, const char* str); GTEST_API_ bool MatchRegexAnywhere(const char* regex, const char* str); #endif // GTEST_USES_SIMPLE_RE // Parses the command line for Google Test flags, without initializing // other parts of Google Test. GTEST_API_ void ParseGoogleTestFlagsOnly(int* argc, char** argv); GTEST_API_ void ParseGoogleTestFlagsOnly(int* argc, wchar_t** argv); #if GTEST_HAS_DEATH_TEST // Returns the message describing the last system error, regardless of the // platform. GTEST_API_ std::string GetLastErrnoDescription(); // Attempts to parse a string into a positive integer pointed to by the // number parameter. Returns true if that is possible. // GTEST_HAS_DEATH_TEST implies that we have ::std::string, so we can use // it here. template bool ParseNaturalNumber(const ::std::string& str, Integer* number) { // Fail fast if the given string does not begin with a digit; // this bypasses strtoXXX's "optional leading whitespace and plus // or minus sign" semantics, which are undesirable here. if (str.empty() || !IsDigit(str[0])) { return false; } errno = 0; char* end; // BiggestConvertible is the largest integer type that system-provided // string-to-number conversion routines can return. # if GTEST_OS_WINDOWS && !defined(__GNUC__) // MSVC and C++ Builder define __int64 instead of the standard long long. typedef unsigned __int64 BiggestConvertible; const BiggestConvertible parsed = _strtoui64(str.c_str(), &end, 10); # else typedef unsigned long long BiggestConvertible; // NOLINT const BiggestConvertible parsed = strtoull(str.c_str(), &end, 10); # endif // GTEST_OS_WINDOWS && !defined(__GNUC__) const bool parse_success = *end == '\0' && errno == 0; // TODO(vladl@google.com): Convert this to compile time assertion when it is // available. GTEST_CHECK_(sizeof(Integer) <= sizeof(parsed)); const Integer result = static_cast(parsed); if (parse_success && static_cast(result) == parsed) { *number = result; return true; } return false; } #endif // GTEST_HAS_DEATH_TEST // TestResult contains some private methods that should be hidden from // Google Test user but are required for testing. This class allow our tests // to access them. // // This class is supplied only for the purpose of testing Google Test's own // constructs. Do not use it in user tests, either directly or indirectly. class TestResultAccessor { public: static void RecordProperty(TestResult* test_result, const std::string& xml_element, const TestProperty& property) { test_result->RecordProperty(xml_element, property); } static void ClearTestPartResults(TestResult* test_result) { test_result->ClearTestPartResults(); } static const std::vector& test_part_results( const TestResult& test_result) { return test_result.test_part_results(); } }; #if GTEST_CAN_STREAM_RESULTS_ // Streams test results to the given port on the given host machine. class GTEST_API_ StreamingListener : public EmptyTestEventListener { public: // Abstract base class for writing strings to a socket. class AbstractSocketWriter { public: virtual ~AbstractSocketWriter() {} // Sends a string to the socket. virtual void Send(const string& message) = 0; // Closes the socket. virtual void CloseConnection() {} // Sends a string and a newline to the socket. void SendLn(const string& message) { Send(message + "\n"); } }; // Concrete class for actually writing strings to a socket. class SocketWriter : public AbstractSocketWriter { public: SocketWriter(const string& host, const string& port) : sockfd_(-1), host_name_(host), port_num_(port) { MakeConnection(); } virtual ~SocketWriter() { if (sockfd_ != -1) CloseConnection(); } // Sends a string to the socket. virtual void Send(const string& message) { GTEST_CHECK_(sockfd_ != -1) << "Send() can be called only when there is a connection."; const int len = static_cast(message.length()); if (write(sockfd_, message.c_str(), len) != len) { GTEST_LOG_(WARNING) << "stream_result_to: failed to stream to " << host_name_ << ":" << port_num_; } } private: // Creates a client socket and connects to the server. void MakeConnection(); // Closes the socket. void CloseConnection() { GTEST_CHECK_(sockfd_ != -1) << "CloseConnection() can be called only when there is a connection."; close(sockfd_); sockfd_ = -1; } int sockfd_; // socket file descriptor const string host_name_; const string port_num_; GTEST_DISALLOW_COPY_AND_ASSIGN_(SocketWriter); }; // class SocketWriter // Escapes '=', '&', '%', and '\n' characters in str as "%xx". static string UrlEncode(const char* str); StreamingListener(const string& host, const string& port) : socket_writer_(new SocketWriter(host, port)) { Start(); } explicit StreamingListener(AbstractSocketWriter* socket_writer) : socket_writer_(socket_writer) { Start(); } void OnTestProgramStart(const UnitTest& /* unit_test */) { SendLn("event=TestProgramStart"); } void OnTestProgramEnd(const UnitTest& unit_test) { // Note that Google Test current only report elapsed time for each // test iteration, not for the entire test program. SendLn("event=TestProgramEnd&passed=" + FormatBool(unit_test.Passed())); // Notify the streaming server to stop. socket_writer_->CloseConnection(); } void OnTestIterationStart(const UnitTest& /* unit_test */, int iteration) { SendLn("event=TestIterationStart&iteration=" + StreamableToString(iteration)); } void OnTestIterationEnd(const UnitTest& unit_test, int /* iteration */) { SendLn("event=TestIterationEnd&passed=" + FormatBool(unit_test.Passed()) + "&elapsed_time=" + StreamableToString(unit_test.elapsed_time()) + "ms"); } void OnTestCaseStart(const TestCase& test_case) { SendLn(std::string("event=TestCaseStart&name=") + test_case.name()); } void OnTestCaseEnd(const TestCase& test_case) { SendLn("event=TestCaseEnd&passed=" + FormatBool(test_case.Passed()) + "&elapsed_time=" + StreamableToString(test_case.elapsed_time()) + "ms"); } void OnTestStart(const TestInfo& test_info) { SendLn(std::string("event=TestStart&name=") + test_info.name()); } void OnTestEnd(const TestInfo& test_info) { SendLn("event=TestEnd&passed=" + FormatBool((test_info.result())->Passed()) + "&elapsed_time=" + StreamableToString((test_info.result())->elapsed_time()) + "ms"); } void OnTestPartResult(const TestPartResult& test_part_result) { const char* file_name = test_part_result.file_name(); if (file_name == NULL) file_name = ""; SendLn("event=TestPartResult&file=" + UrlEncode(file_name) + "&line=" + StreamableToString(test_part_result.line_number()) + "&message=" + UrlEncode(test_part_result.message())); } private: // Sends the given message and a newline to the socket. void SendLn(const string& message) { socket_writer_->SendLn(message); } // Called at the start of streaming to notify the receiver what // protocol we are using. void Start() { SendLn("gtest_streaming_protocol_version=1.0"); } string FormatBool(bool value) { return value ? "1" : "0"; } const scoped_ptr socket_writer_; GTEST_DISALLOW_COPY_AND_ASSIGN_(StreamingListener); }; // class StreamingListener #endif // GTEST_CAN_STREAM_RESULTS_ } // namespace internal } // namespace testing #endif // GTEST_SRC_GTEST_INTERNAL_INL_H_ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest-port.cc0000644000175100017510000012375115112307767022635 0ustar00runnerrunner// Copyright 2008, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) #include "gtest/internal/gtest-port.h" #include #include #include #include #include #if GTEST_OS_WINDOWS # include # include # include # include // Used in ThreadLocal. #else # include #endif // GTEST_OS_WINDOWS #if GTEST_OS_MAC # include # include # include #endif // GTEST_OS_MAC #if GTEST_OS_QNX # include # include # include #endif // GTEST_OS_QNX #if GTEST_OS_AIX # include # include #endif // GTEST_OS_AIX #include "gtest/gtest-spi.h" #include "gtest/gtest-message.h" #include "gtest/internal/gtest-internal.h" #include "gtest/internal/gtest-string.h" // Indicates that this translation unit is part of Google Test's // implementation. It must come before gtest-internal-inl.h is // included, or there will be a compiler error. This trick exists to // prevent the accidental inclusion of gtest-internal-inl.h in the // user's code. #define GTEST_IMPLEMENTATION_ 1 #include "src/gtest-internal-inl.h" #undef GTEST_IMPLEMENTATION_ namespace testing { namespace internal { #if defined(_MSC_VER) || defined(__BORLANDC__) // MSVC and C++Builder do not provide a definition of STDERR_FILENO. const int kStdOutFileno = 1; const int kStdErrFileno = 2; #else const int kStdOutFileno = STDOUT_FILENO; const int kStdErrFileno = STDERR_FILENO; #endif // _MSC_VER #if GTEST_OS_LINUX namespace { template T ReadProcFileField(const string& filename, int field) { std::string dummy; std::ifstream file(filename.c_str()); while (field-- > 0) { file >> dummy; } T output = 0; file >> output; return output; } } // namespace // Returns the number of active threads, or 0 when there is an error. size_t GetThreadCount() { const string filename = (Message() << "/proc/" << getpid() << "/stat").GetString(); return ReadProcFileField(filename, 19); } #elif GTEST_OS_MAC size_t GetThreadCount() { const task_t task = mach_task_self(); mach_msg_type_number_t thread_count; thread_act_array_t thread_list; const kern_return_t status = task_threads(task, &thread_list, &thread_count); if (status == KERN_SUCCESS) { // task_threads allocates resources in thread_list and we need to free them // to avoid leaks. vm_deallocate(task, reinterpret_cast(thread_list), sizeof(thread_t) * thread_count); return static_cast(thread_count); } else { return 0; } } #elif GTEST_OS_QNX // Returns the number of threads running in the process, or 0 to indicate that // we cannot detect it. size_t GetThreadCount() { const int fd = open("/proc/self/as", O_RDONLY); if (fd < 0) { return 0; } procfs_info process_info; const int status = devctl(fd, DCMD_PROC_INFO, &process_info, sizeof(process_info), NULL); close(fd); if (status == EOK) { return static_cast(process_info.num_threads); } else { return 0; } } #elif GTEST_OS_AIX size_t GetThreadCount() { struct procentry64 entry; pid_t pid = getpid(); int status = getprocs64(&entry, sizeof(entry), NULL, 0, &pid, 1); if (status == 1) { return entry.pi_thcount; } else { return 0; } } #else size_t GetThreadCount() { // There's no portable way to detect the number of threads, so we just // return 0 to indicate that we cannot detect it. return 0; } #endif // GTEST_OS_LINUX #if GTEST_IS_THREADSAFE && GTEST_OS_WINDOWS void SleepMilliseconds(int n) { ::Sleep(n); } AutoHandle::AutoHandle() : handle_(INVALID_HANDLE_VALUE) {} AutoHandle::AutoHandle(Handle handle) : handle_(handle) {} AutoHandle::~AutoHandle() { Reset(); } AutoHandle::Handle AutoHandle::Get() const { return handle_; } void AutoHandle::Reset() { Reset(INVALID_HANDLE_VALUE); } void AutoHandle::Reset(HANDLE handle) { // Resetting with the same handle we already own is invalid. if (handle_ != handle) { if (IsCloseable()) { ::CloseHandle(handle_); } handle_ = handle; } else { GTEST_CHECK_(!IsCloseable()) << "Resetting a valid handle to itself is likely a programmer error " "and thus not allowed."; } } bool AutoHandle::IsCloseable() const { // Different Windows APIs may use either of these values to represent an // invalid handle. return handle_ != NULL && handle_ != INVALID_HANDLE_VALUE; } Notification::Notification() : event_(::CreateEvent(NULL, // Default security attributes. TRUE, // Do not reset automatically. FALSE, // Initially unset. NULL)) { // Anonymous event. GTEST_CHECK_(event_.Get() != NULL); } void Notification::Notify() { GTEST_CHECK_(::SetEvent(event_.Get()) != FALSE); } void Notification::WaitForNotification() { GTEST_CHECK_( ::WaitForSingleObject(event_.Get(), INFINITE) == WAIT_OBJECT_0); } Mutex::Mutex() : owner_thread_id_(0), type_(kDynamic), critical_section_init_phase_(0), critical_section_(new CRITICAL_SECTION) { ::InitializeCriticalSection(critical_section_); } Mutex::~Mutex() { // Static mutexes are leaked intentionally. It is not thread-safe to try // to clean them up. // TODO(yukawa): Switch to Slim Reader/Writer (SRW) Locks, which requires // nothing to clean it up but is available only on Vista and later. // http://msdn.microsoft.com/en-us/library/windows/desktop/aa904937.aspx if (type_ == kDynamic) { ::DeleteCriticalSection(critical_section_); delete critical_section_; critical_section_ = NULL; } } void Mutex::Lock() { ThreadSafeLazyInit(); ::EnterCriticalSection(critical_section_); owner_thread_id_ = ::GetCurrentThreadId(); } void Mutex::Unlock() { ThreadSafeLazyInit(); // We don't protect writing to owner_thread_id_ here, as it's the // caller's responsibility to ensure that the current thread holds the // mutex when this is called. owner_thread_id_ = 0; ::LeaveCriticalSection(critical_section_); } // Does nothing if the current thread holds the mutex. Otherwise, crashes // with high probability. void Mutex::AssertHeld() { ThreadSafeLazyInit(); GTEST_CHECK_(owner_thread_id_ == ::GetCurrentThreadId()) << "The current thread is not holding the mutex @" << this; } // Initializes owner_thread_id_ and critical_section_ in static mutexes. void Mutex::ThreadSafeLazyInit() { // Dynamic mutexes are initialized in the constructor. if (type_ == kStatic) { switch ( ::InterlockedCompareExchange(&critical_section_init_phase_, 1L, 0L)) { case 0: // If critical_section_init_phase_ was 0 before the exchange, we // are the first to test it and need to perform the initialization. owner_thread_id_ = 0; critical_section_ = new CRITICAL_SECTION; ::InitializeCriticalSection(critical_section_); // Updates the critical_section_init_phase_ to 2 to signal // initialization complete. GTEST_CHECK_(::InterlockedCompareExchange( &critical_section_init_phase_, 2L, 1L) == 1L); break; case 1: // Somebody else is already initializing the mutex; spin until they // are done. while (::InterlockedCompareExchange(&critical_section_init_phase_, 2L, 2L) != 2L) { // Possibly yields the rest of the thread's time slice to other // threads. ::Sleep(0); } break; case 2: break; // The mutex is already initialized and ready for use. default: GTEST_CHECK_(false) << "Unexpected value of critical_section_init_phase_ " << "while initializing a static mutex."; } } } namespace { class ThreadWithParamSupport : public ThreadWithParamBase { public: static HANDLE CreateThread(Runnable* runnable, Notification* thread_can_start) { ThreadMainParam* param = new ThreadMainParam(runnable, thread_can_start); DWORD thread_id; // TODO(yukawa): Consider to use _beginthreadex instead. HANDLE thread_handle = ::CreateThread( NULL, // Default security. 0, // Default stack size. &ThreadWithParamSupport::ThreadMain, param, // Parameter to ThreadMainStatic 0x0, // Default creation flags. &thread_id); // Need a valid pointer for the call to work under Win98. GTEST_CHECK_(thread_handle != NULL) << "CreateThread failed with error " << ::GetLastError() << "."; if (thread_handle == NULL) { delete param; } return thread_handle; } private: struct ThreadMainParam { ThreadMainParam(Runnable* runnable, Notification* thread_can_start) : runnable_(runnable), thread_can_start_(thread_can_start) { } scoped_ptr runnable_; // Does not own. Notification* thread_can_start_; }; static DWORD WINAPI ThreadMain(void* ptr) { // Transfers ownership. scoped_ptr param(static_cast(ptr)); if (param->thread_can_start_ != NULL) param->thread_can_start_->WaitForNotification(); param->runnable_->Run(); return 0; } // Prohibit instantiation. ThreadWithParamSupport(); GTEST_DISALLOW_COPY_AND_ASSIGN_(ThreadWithParamSupport); }; } // namespace ThreadWithParamBase::ThreadWithParamBase(Runnable *runnable, Notification* thread_can_start) : thread_(ThreadWithParamSupport::CreateThread(runnable, thread_can_start)) { } ThreadWithParamBase::~ThreadWithParamBase() { Join(); } void ThreadWithParamBase::Join() { GTEST_CHECK_(::WaitForSingleObject(thread_.Get(), INFINITE) == WAIT_OBJECT_0) << "Failed to join the thread with error " << ::GetLastError() << "."; } // Maps a thread to a set of ThreadIdToThreadLocals that have values // instantiated on that thread and notifies them when the thread exits. A // ThreadLocal instance is expected to persist until all threads it has // values on have terminated. class ThreadLocalRegistryImpl { public: // Registers thread_local_instance as having value on the current thread. // Returns a value that can be used to identify the thread from other threads. static ThreadLocalValueHolderBase* GetValueOnCurrentThread( const ThreadLocalBase* thread_local_instance) { DWORD current_thread = ::GetCurrentThreadId(); MutexLock lock(&mutex_); ThreadIdToThreadLocals* const thread_to_thread_locals = GetThreadLocalsMapLocked(); ThreadIdToThreadLocals::iterator thread_local_pos = thread_to_thread_locals->find(current_thread); if (thread_local_pos == thread_to_thread_locals->end()) { thread_local_pos = thread_to_thread_locals->insert( std::make_pair(current_thread, ThreadLocalValues())).first; StartWatcherThreadFor(current_thread); } ThreadLocalValues& thread_local_values = thread_local_pos->second; ThreadLocalValues::iterator value_pos = thread_local_values.find(thread_local_instance); if (value_pos == thread_local_values.end()) { value_pos = thread_local_values .insert(std::make_pair( thread_local_instance, linked_ptr( thread_local_instance->NewValueForCurrentThread()))) .first; } return value_pos->second.get(); } static void OnThreadLocalDestroyed( const ThreadLocalBase* thread_local_instance) { std::vector > value_holders; // Clean up the ThreadLocalValues data structure while holding the lock, but // defer the destruction of the ThreadLocalValueHolderBases. { MutexLock lock(&mutex_); ThreadIdToThreadLocals* const thread_to_thread_locals = GetThreadLocalsMapLocked(); for (ThreadIdToThreadLocals::iterator it = thread_to_thread_locals->begin(); it != thread_to_thread_locals->end(); ++it) { ThreadLocalValues& thread_local_values = it->second; ThreadLocalValues::iterator value_pos = thread_local_values.find(thread_local_instance); if (value_pos != thread_local_values.end()) { value_holders.push_back(value_pos->second); thread_local_values.erase(value_pos); // This 'if' can only be successful at most once, so theoretically we // could break out of the loop here, but we don't bother doing so. } } } // Outside the lock, let the destructor for 'value_holders' deallocate the // ThreadLocalValueHolderBases. } static void OnThreadExit(DWORD thread_id) { GTEST_CHECK_(thread_id != 0) << ::GetLastError(); std::vector > value_holders; // Clean up the ThreadIdToThreadLocals data structure while holding the // lock, but defer the destruction of the ThreadLocalValueHolderBases. { MutexLock lock(&mutex_); ThreadIdToThreadLocals* const thread_to_thread_locals = GetThreadLocalsMapLocked(); ThreadIdToThreadLocals::iterator thread_local_pos = thread_to_thread_locals->find(thread_id); if (thread_local_pos != thread_to_thread_locals->end()) { ThreadLocalValues& thread_local_values = thread_local_pos->second; for (ThreadLocalValues::iterator value_pos = thread_local_values.begin(); value_pos != thread_local_values.end(); ++value_pos) { value_holders.push_back(value_pos->second); } thread_to_thread_locals->erase(thread_local_pos); } } // Outside the lock, let the destructor for 'value_holders' deallocate the // ThreadLocalValueHolderBases. } private: // In a particular thread, maps a ThreadLocal object to its value. typedef std::map > ThreadLocalValues; // Stores all ThreadIdToThreadLocals having values in a thread, indexed by // thread's ID. typedef std::map ThreadIdToThreadLocals; // Holds the thread id and thread handle that we pass from // StartWatcherThreadFor to WatcherThreadFunc. typedef std::pair ThreadIdAndHandle; static void StartWatcherThreadFor(DWORD thread_id) { // The returned handle will be kept in thread_map and closed by // watcher_thread in WatcherThreadFunc. HANDLE thread = ::OpenThread(SYNCHRONIZE | THREAD_QUERY_INFORMATION, FALSE, thread_id); GTEST_CHECK_(thread != NULL); // We need to to pass a valid thread ID pointer into CreateThread for it // to work correctly under Win98. DWORD watcher_thread_id; HANDLE watcher_thread = ::CreateThread( NULL, // Default security. 0, // Default stack size &ThreadLocalRegistryImpl::WatcherThreadFunc, reinterpret_cast(new ThreadIdAndHandle(thread_id, thread)), CREATE_SUSPENDED, &watcher_thread_id); GTEST_CHECK_(watcher_thread != NULL); // Give the watcher thread the same priority as ours to avoid being // blocked by it. ::SetThreadPriority(watcher_thread, ::GetThreadPriority(::GetCurrentThread())); ::ResumeThread(watcher_thread); ::CloseHandle(watcher_thread); } // Monitors exit from a given thread and notifies those // ThreadIdToThreadLocals about thread termination. static DWORD WINAPI WatcherThreadFunc(LPVOID param) { const ThreadIdAndHandle* tah = reinterpret_cast(param); GTEST_CHECK_( ::WaitForSingleObject(tah->second, INFINITE) == WAIT_OBJECT_0); OnThreadExit(tah->first); ::CloseHandle(tah->second); delete tah; return 0; } // Returns map of thread local instances. static ThreadIdToThreadLocals* GetThreadLocalsMapLocked() { mutex_.AssertHeld(); static ThreadIdToThreadLocals* map = new ThreadIdToThreadLocals; return map; } // Protects access to GetThreadLocalsMapLocked() and its return value. static Mutex mutex_; // Protects access to GetThreadMapLocked() and its return value. static Mutex thread_map_mutex_; }; Mutex ThreadLocalRegistryImpl::mutex_(Mutex::kStaticMutex); Mutex ThreadLocalRegistryImpl::thread_map_mutex_(Mutex::kStaticMutex); ThreadLocalValueHolderBase* ThreadLocalRegistry::GetValueOnCurrentThread( const ThreadLocalBase* thread_local_instance) { return ThreadLocalRegistryImpl::GetValueOnCurrentThread( thread_local_instance); } void ThreadLocalRegistry::OnThreadLocalDestroyed( const ThreadLocalBase* thread_local_instance) { ThreadLocalRegistryImpl::OnThreadLocalDestroyed(thread_local_instance); } #endif // GTEST_IS_THREADSAFE && GTEST_OS_WINDOWS #if GTEST_USES_POSIX_RE // Implements RE. Currently only needed for death tests. RE::~RE() { if (is_valid_) { // regfree'ing an invalid regex might crash because the content // of the regex is undefined. Since the regex's are essentially // the same, one cannot be valid (or invalid) without the other // being so too. regfree(&partial_regex_); regfree(&full_regex_); } free(const_cast(pattern_)); } // Returns true iff regular expression re matches the entire str. bool RE::FullMatch(const char* str, const RE& re) { if (!re.is_valid_) return false; regmatch_t match; return regexec(&re.full_regex_, str, 1, &match, 0) == 0; } // Returns true iff regular expression re matches a substring of str // (including str itself). bool RE::PartialMatch(const char* str, const RE& re) { if (!re.is_valid_) return false; regmatch_t match; return regexec(&re.partial_regex_, str, 1, &match, 0) == 0; } // Initializes an RE from its string representation. void RE::Init(const char* regex) { pattern_ = posix::StrDup(regex); // Reserves enough bytes to hold the regular expression used for a // full match. const size_t full_regex_len = strlen(regex) + 10; char* const full_pattern = new char[full_regex_len]; snprintf(full_pattern, full_regex_len, "^(%s)$", regex); is_valid_ = regcomp(&full_regex_, full_pattern, REG_EXTENDED) == 0; // We want to call regcomp(&partial_regex_, ...) even if the // previous expression returns false. Otherwise partial_regex_ may // not be properly initialized can may cause trouble when it's // freed. // // Some implementation of POSIX regex (e.g. on at least some // versions of Cygwin) doesn't accept the empty string as a valid // regex. We change it to an equivalent form "()" to be safe. if (is_valid_) { const char* const partial_regex = (*regex == '\0') ? "()" : regex; is_valid_ = regcomp(&partial_regex_, partial_regex, REG_EXTENDED) == 0; } EXPECT_TRUE(is_valid_) << "Regular expression \"" << regex << "\" is not a valid POSIX Extended regular expression."; delete[] full_pattern; } #elif GTEST_USES_SIMPLE_RE // Returns true iff ch appears anywhere in str (excluding the // terminating '\0' character). bool IsInSet(char ch, const char* str) { return ch != '\0' && strchr(str, ch) != NULL; } // Returns true iff ch belongs to the given classification. Unlike // similar functions in , these aren't affected by the // current locale. bool IsAsciiDigit(char ch) { return '0' <= ch && ch <= '9'; } bool IsAsciiPunct(char ch) { return IsInSet(ch, "^-!\"#$%&'()*+,./:;<=>?@[\\]_`{|}~"); } bool IsRepeat(char ch) { return IsInSet(ch, "?*+"); } bool IsAsciiWhiteSpace(char ch) { return IsInSet(ch, " \f\n\r\t\v"); } bool IsAsciiWordChar(char ch) { return ('a' <= ch && ch <= 'z') || ('A' <= ch && ch <= 'Z') || ('0' <= ch && ch <= '9') || ch == '_'; } // Returns true iff "\\c" is a supported escape sequence. bool IsValidEscape(char c) { return (IsAsciiPunct(c) || IsInSet(c, "dDfnrsStvwW")); } // Returns true iff the given atom (specified by escaped and pattern) // matches ch. The result is undefined if the atom is invalid. bool AtomMatchesChar(bool escaped, char pattern_char, char ch) { if (escaped) { // "\\p" where p is pattern_char. switch (pattern_char) { case 'd': return IsAsciiDigit(ch); case 'D': return !IsAsciiDigit(ch); case 'f': return ch == '\f'; case 'n': return ch == '\n'; case 'r': return ch == '\r'; case 's': return IsAsciiWhiteSpace(ch); case 'S': return !IsAsciiWhiteSpace(ch); case 't': return ch == '\t'; case 'v': return ch == '\v'; case 'w': return IsAsciiWordChar(ch); case 'W': return !IsAsciiWordChar(ch); } return IsAsciiPunct(pattern_char) && pattern_char == ch; } return (pattern_char == '.' && ch != '\n') || pattern_char == ch; } // Helper function used by ValidateRegex() to format error messages. std::string FormatRegexSyntaxError(const char* regex, int index) { return (Message() << "Syntax error at index " << index << " in simple regular expression \"" << regex << "\": ").GetString(); } // Generates non-fatal failures and returns false if regex is invalid; // otherwise returns true. bool ValidateRegex(const char* regex) { if (regex == NULL) { // TODO(wan@google.com): fix the source file location in the // assertion failures to match where the regex is used in user // code. ADD_FAILURE() << "NULL is not a valid simple regular expression."; return false; } bool is_valid = true; // True iff ?, *, or + can follow the previous atom. bool prev_repeatable = false; for (int i = 0; regex[i]; i++) { if (regex[i] == '\\') { // An escape sequence i++; if (regex[i] == '\0') { ADD_FAILURE() << FormatRegexSyntaxError(regex, i - 1) << "'\\' cannot appear at the end."; return false; } if (!IsValidEscape(regex[i])) { ADD_FAILURE() << FormatRegexSyntaxError(regex, i - 1) << "invalid escape sequence \"\\" << regex[i] << "\"."; is_valid = false; } prev_repeatable = true; } else { // Not an escape sequence. const char ch = regex[i]; if (ch == '^' && i > 0) { ADD_FAILURE() << FormatRegexSyntaxError(regex, i) << "'^' can only appear at the beginning."; is_valid = false; } else if (ch == '$' && regex[i + 1] != '\0') { ADD_FAILURE() << FormatRegexSyntaxError(regex, i) << "'$' can only appear at the end."; is_valid = false; } else if (IsInSet(ch, "()[]{}|")) { ADD_FAILURE() << FormatRegexSyntaxError(regex, i) << "'" << ch << "' is unsupported."; is_valid = false; } else if (IsRepeat(ch) && !prev_repeatable) { ADD_FAILURE() << FormatRegexSyntaxError(regex, i) << "'" << ch << "' can only follow a repeatable token."; is_valid = false; } prev_repeatable = !IsInSet(ch, "^$?*+"); } } return is_valid; } // Matches a repeated regex atom followed by a valid simple regular // expression. The regex atom is defined as c if escaped is false, // or \c otherwise. repeat is the repetition meta character (?, *, // or +). The behavior is undefined if str contains too many // characters to be indexable by size_t, in which case the test will // probably time out anyway. We are fine with this limitation as // std::string has it too. bool MatchRepetitionAndRegexAtHead( bool escaped, char c, char repeat, const char* regex, const char* str) { const size_t min_count = (repeat == '+') ? 1 : 0; const size_t max_count = (repeat == '?') ? 1 : static_cast(-1) - 1; // We cannot call numeric_limits::max() as it conflicts with the // max() macro on Windows. for (size_t i = 0; i <= max_count; ++i) { // We know that the atom matches each of the first i characters in str. if (i >= min_count && MatchRegexAtHead(regex, str + i)) { // We have enough matches at the head, and the tail matches too. // Since we only care about *whether* the pattern matches str // (as opposed to *how* it matches), there is no need to find a // greedy match. return true; } if (str[i] == '\0' || !AtomMatchesChar(escaped, c, str[i])) return false; } return false; } // Returns true iff regex matches a prefix of str. regex must be a // valid simple regular expression and not start with "^", or the // result is undefined. bool MatchRegexAtHead(const char* regex, const char* str) { if (*regex == '\0') // An empty regex matches a prefix of anything. return true; // "$" only matches the end of a string. Note that regex being // valid guarantees that there's nothing after "$" in it. if (*regex == '$') return *str == '\0'; // Is the first thing in regex an escape sequence? const bool escaped = *regex == '\\'; if (escaped) ++regex; if (IsRepeat(regex[1])) { // MatchRepetitionAndRegexAtHead() calls MatchRegexAtHead(), so // here's an indirect recursion. It terminates as the regex gets // shorter in each recursion. return MatchRepetitionAndRegexAtHead( escaped, regex[0], regex[1], regex + 2, str); } else { // regex isn't empty, isn't "$", and doesn't start with a // repetition. We match the first atom of regex with the first // character of str and recurse. return (*str != '\0') && AtomMatchesChar(escaped, *regex, *str) && MatchRegexAtHead(regex + 1, str + 1); } } // Returns true iff regex matches any substring of str. regex must be // a valid simple regular expression, or the result is undefined. // // The algorithm is recursive, but the recursion depth doesn't exceed // the regex length, so we won't need to worry about running out of // stack space normally. In rare cases the time complexity can be // exponential with respect to the regex length + the string length, // but usually it's must faster (often close to linear). bool MatchRegexAnywhere(const char* regex, const char* str) { if (regex == NULL || str == NULL) return false; if (*regex == '^') return MatchRegexAtHead(regex + 1, str); // A successful match can be anywhere in str. do { if (MatchRegexAtHead(regex, str)) return true; } while (*str++ != '\0'); return false; } // Implements the RE class. RE::~RE() { free(const_cast(pattern_)); free(const_cast(full_pattern_)); } // Returns true iff regular expression re matches the entire str. bool RE::FullMatch(const char* str, const RE& re) { return re.is_valid_ && MatchRegexAnywhere(re.full_pattern_, str); } // Returns true iff regular expression re matches a substring of str // (including str itself). bool RE::PartialMatch(const char* str, const RE& re) { return re.is_valid_ && MatchRegexAnywhere(re.pattern_, str); } // Initializes an RE from its string representation. void RE::Init(const char* regex) { pattern_ = full_pattern_ = NULL; if (regex != NULL) { pattern_ = posix::StrDup(regex); } is_valid_ = ValidateRegex(regex); if (!is_valid_) { // No need to calculate the full pattern when the regex is invalid. return; } const size_t len = strlen(regex); // Reserves enough bytes to hold the regular expression used for a // full match: we need space to prepend a '^', append a '$', and // terminate the string with '\0'. char* buffer = static_cast(malloc(len + 3)); full_pattern_ = buffer; if (*regex != '^') *buffer++ = '^'; // Makes sure full_pattern_ starts with '^'. // We don't use snprintf or strncpy, as they trigger a warning when // compiled with VC++ 8.0. memcpy(buffer, regex, len); buffer += len; if (len == 0 || regex[len - 1] != '$') *buffer++ = '$'; // Makes sure full_pattern_ ends with '$'. *buffer = '\0'; } #endif // GTEST_USES_POSIX_RE const char kUnknownFile[] = "unknown file"; // Formats a source file path and a line number as they would appear // in an error message from the compiler used to compile this code. GTEST_API_ ::std::string FormatFileLocation(const char* file, int line) { const std::string file_name(file == NULL ? kUnknownFile : file); if (line < 0) { return file_name + ":"; } #ifdef _MSC_VER return file_name + "(" + StreamableToString(line) + "):"; #else return file_name + ":" + StreamableToString(line) + ":"; #endif // _MSC_VER } // Formats a file location for compiler-independent XML output. // Although this function is not platform dependent, we put it next to // FormatFileLocation in order to contrast the two functions. // Note that FormatCompilerIndependentFileLocation() does NOT append colon // to the file location it produces, unlike FormatFileLocation(). GTEST_API_ ::std::string FormatCompilerIndependentFileLocation( const char* file, int line) { const std::string file_name(file == NULL ? kUnknownFile : file); if (line < 0) return file_name; else return file_name + ":" + StreamableToString(line); } GTestLog::GTestLog(GTestLogSeverity severity, const char* file, int line) : severity_(severity) { const char* const marker = severity == GTEST_INFO ? "[ INFO ]" : severity == GTEST_WARNING ? "[WARNING]" : severity == GTEST_ERROR ? "[ ERROR ]" : "[ FATAL ]"; GetStream() << ::std::endl << marker << " " << FormatFileLocation(file, line).c_str() << ": "; } // Flushes the buffers and, if severity is GTEST_FATAL, aborts the program. GTestLog::~GTestLog() { GetStream() << ::std::endl; if (severity_ == GTEST_FATAL) { fflush(stderr); posix::Abort(); } } // Disable Microsoft deprecation warnings for POSIX functions called from // this class (creat, dup, dup2, and close) GTEST_DISABLE_MSC_WARNINGS_PUSH_(4996) #if GTEST_HAS_STREAM_REDIRECTION // Object that captures an output stream (stdout/stderr). class CapturedStream { public: // The ctor redirects the stream to a temporary file. explicit CapturedStream(int fd) : fd_(fd), uncaptured_fd_(dup(fd)) { # if GTEST_OS_WINDOWS char temp_dir_path[MAX_PATH + 1] = { '\0' }; // NOLINT char temp_file_path[MAX_PATH + 1] = { '\0' }; // NOLINT ::GetTempPathA(sizeof(temp_dir_path), temp_dir_path); const UINT success = ::GetTempFileNameA(temp_dir_path, "gtest_redir", 0, // Generate unique file name. temp_file_path); GTEST_CHECK_(success != 0) << "Unable to create a temporary file in " << temp_dir_path; const int captured_fd = creat(temp_file_path, _S_IREAD | _S_IWRITE); GTEST_CHECK_(captured_fd != -1) << "Unable to open temporary file " << temp_file_path; filename_ = temp_file_path; # else // There's no guarantee that a test has write access to the current // directory, so we create the temporary file in the /tmp directory // instead. We use /tmp on most systems, and /sdcard on Android. // That's because Android doesn't have /tmp. # if GTEST_OS_LINUX_ANDROID // Note: Android applications are expected to call the framework's // Context.getExternalStorageDirectory() method through JNI to get // the location of the world-writable SD Card directory. However, // this requires a Context handle, which cannot be retrieved // globally from native code. Doing so also precludes running the // code as part of a regular standalone executable, which doesn't // run in a Dalvik process (e.g. when running it through 'adb shell'). // // The location /sdcard is directly accessible from native code // and is the only location (unofficially) supported by the Android // team. It's generally a symlink to the real SD Card mount point // which can be /mnt/sdcard, /mnt/sdcard0, /system/media/sdcard, or // other OEM-customized locations. Never rely on these, and always // use /sdcard. char name_template[] = "/sdcard/gtest_captured_stream.XXXXXX"; # else char name_template[] = "/tmp/captured_stream.XXXXXX"; # endif // GTEST_OS_LINUX_ANDROID const int captured_fd = mkstemp(name_template); filename_ = name_template; # endif // GTEST_OS_WINDOWS fflush(NULL); dup2(captured_fd, fd_); close(captured_fd); } ~CapturedStream() { remove(filename_.c_str()); } std::string GetCapturedString() { if (uncaptured_fd_ != -1) { // Restores the original stream. fflush(NULL); dup2(uncaptured_fd_, fd_); close(uncaptured_fd_); uncaptured_fd_ = -1; } FILE* const file = posix::FOpen(filename_.c_str(), "r"); const std::string content = ReadEntireFile(file); posix::FClose(file); return content; } private: const int fd_; // A stream to capture. int uncaptured_fd_; // Name of the temporary file holding the stderr output. ::std::string filename_; GTEST_DISALLOW_COPY_AND_ASSIGN_(CapturedStream); }; GTEST_DISABLE_MSC_WARNINGS_POP_() static CapturedStream* g_captured_stderr = NULL; static CapturedStream* g_captured_stdout = NULL; // Starts capturing an output stream (stdout/stderr). void CaptureStream(int fd, const char* stream_name, CapturedStream** stream) { if (*stream != NULL) { GTEST_LOG_(FATAL) << "Only one " << stream_name << " capturer can exist at a time."; } *stream = new CapturedStream(fd); } // Stops capturing the output stream and returns the captured string. std::string GetCapturedStream(CapturedStream** captured_stream) { const std::string content = (*captured_stream)->GetCapturedString(); delete *captured_stream; *captured_stream = NULL; return content; } // Starts capturing stdout. void CaptureStdout() { CaptureStream(kStdOutFileno, "stdout", &g_captured_stdout); } // Starts capturing stderr. void CaptureStderr() { CaptureStream(kStdErrFileno, "stderr", &g_captured_stderr); } // Stops capturing stdout and returns the captured string. std::string GetCapturedStdout() { return GetCapturedStream(&g_captured_stdout); } // Stops capturing stderr and returns the captured string. std::string GetCapturedStderr() { return GetCapturedStream(&g_captured_stderr); } #endif // GTEST_HAS_STREAM_REDIRECTION std::string TempDir() { #if GTEST_OS_WINDOWS_MOBILE return "\\temp\\"; #elif GTEST_OS_WINDOWS const char* temp_dir = posix::GetEnv("TEMP"); if (temp_dir == NULL || temp_dir[0] == '\0') return "\\temp\\"; else if (temp_dir[strlen(temp_dir) - 1] == '\\') return temp_dir; else return std::string(temp_dir) + "\\"; #elif GTEST_OS_LINUX_ANDROID return "/sdcard/"; #else return "/tmp/"; #endif // GTEST_OS_WINDOWS_MOBILE } size_t GetFileSize(FILE* file) { fseek(file, 0, SEEK_END); return static_cast(ftell(file)); } std::string ReadEntireFile(FILE* file) { const size_t file_size = GetFileSize(file); char* const buffer = new char[file_size]; size_t bytes_last_read = 0; // # of bytes read in the last fread() size_t bytes_read = 0; // # of bytes read so far fseek(file, 0, SEEK_SET); // Keeps reading the file until we cannot read further or the // pre-determined file size is reached. do { bytes_last_read = fread(buffer+bytes_read, 1, file_size-bytes_read, file); bytes_read += bytes_last_read; } while (bytes_last_read > 0 && bytes_read < file_size); const std::string content(buffer, bytes_read); delete[] buffer; return content; } #if GTEST_HAS_DEATH_TEST static const ::std::vector* g_injected_test_argvs = NULL; // Owned. void SetInjectableArgvs(const ::std::vector* argvs) { if (g_injected_test_argvs != argvs) delete g_injected_test_argvs; g_injected_test_argvs = argvs; } const ::std::vector& GetInjectableArgvs() { if (g_injected_test_argvs != NULL) { return *g_injected_test_argvs; } return GetArgvs(); } #endif // GTEST_HAS_DEATH_TEST #if GTEST_OS_WINDOWS_MOBILE namespace posix { void Abort() { DebugBreak(); TerminateProcess(GetCurrentProcess(), 1); } } // namespace posix #endif // GTEST_OS_WINDOWS_MOBILE // Returns the name of the environment variable corresponding to the // given flag. For example, FlagToEnvVar("foo") will return // "GTEST_FOO" in the open-source version. static std::string FlagToEnvVar(const char* flag) { const std::string full_flag = (Message() << GTEST_FLAG_PREFIX_ << flag).GetString(); Message env_var; for (size_t i = 0; i != full_flag.length(); i++) { env_var << ToUpper(full_flag.c_str()[i]); } return env_var.GetString(); } // Parses 'str' for a 32-bit signed integer. If successful, writes // the result to *value and returns true; otherwise leaves *value // unchanged and returns false. bool ParseInt32(const Message& src_text, const char* str, Int32* value) { // Parses the environment variable as a decimal integer. char* end = NULL; const long long_value = strtol(str, &end, 10); // NOLINT // Has strtol() consumed all characters in the string? if (*end != '\0') { // No - an invalid character was encountered. Message msg; msg << "WARNING: " << src_text << " is expected to be a 32-bit integer, but actually" << " has value \"" << str << "\".\n"; printf("%s", msg.GetString().c_str()); fflush(stdout); return false; } // Is the parsed value in the range of an Int32? const Int32 result = static_cast(long_value); if (long_value == LONG_MAX || long_value == LONG_MIN || // The parsed value overflows as a long. (strtol() returns // LONG_MAX or LONG_MIN when the input overflows.) result != long_value // The parsed value overflows as an Int32. ) { Message msg; msg << "WARNING: " << src_text << " is expected to be a 32-bit integer, but actually" << " has value " << str << ", which overflows.\n"; printf("%s", msg.GetString().c_str()); fflush(stdout); return false; } *value = result; return true; } // Reads and returns the Boolean environment variable corresponding to // the given flag; if it's not set, returns default_value. // // The value is considered true iff it's not "0". bool BoolFromGTestEnv(const char* flag, bool default_value) { #if defined(GTEST_GET_BOOL_FROM_ENV_) return GTEST_GET_BOOL_FROM_ENV_(flag, default_value); #endif // defined(GTEST_GET_BOOL_FROM_ENV_) const std::string env_var = FlagToEnvVar(flag); const char* const string_value = posix::GetEnv(env_var.c_str()); return string_value == NULL ? default_value : strcmp(string_value, "0") != 0; } // Reads and returns a 32-bit integer stored in the environment // variable corresponding to the given flag; if it isn't set or // doesn't represent a valid 32-bit integer, returns default_value. Int32 Int32FromGTestEnv(const char* flag, Int32 default_value) { #if defined(GTEST_GET_INT32_FROM_ENV_) return GTEST_GET_INT32_FROM_ENV_(flag, default_value); #endif // defined(GTEST_GET_INT32_FROM_ENV_) const std::string env_var = FlagToEnvVar(flag); const char* const string_value = posix::GetEnv(env_var.c_str()); if (string_value == NULL) { // The environment variable is not set. return default_value; } Int32 result = default_value; if (!ParseInt32(Message() << "Environment variable " << env_var, string_value, &result)) { printf("The default value %s is used.\n", (Message() << default_value).GetString().c_str()); fflush(stdout); return default_value; } return result; } // Reads and returns the string environment variable corresponding to // the given flag; if it's not set, returns default_value. std::string StringFromGTestEnv(const char* flag, const char* default_value) { #if defined(GTEST_GET_STRING_FROM_ENV_) return GTEST_GET_STRING_FROM_ENV_(flag, default_value); #endif // defined(GTEST_GET_STRING_FROM_ENV_) const std::string env_var = FlagToEnvVar(flag); const char* value = posix::GetEnv(env_var.c_str()); if (value != NULL) { return value; } // As a special case for the 'output' flag, if GTEST_OUTPUT is not // set, we look for XML_OUTPUT_FILE, which is set by the Bazel build // system. The value of XML_OUTPUT_FILE is a filename without the // "xml:" prefix of GTEST_OUTPUT. // // The net priority order after flag processing is thus: // --gtest_output command line flag // GTEST_OUTPUT environment variable // XML_OUTPUT_FILE environment variable // 'default_value' if (strcmp(flag, "output") == 0) { value = posix::GetEnv("XML_OUTPUT_FILE"); if (value != NULL) { return std::string("xml:") + value; } } return default_value; } } // namespace internal } // namespace testing ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest-printers.cc0000644000175100017510000003052115112307767023507 0ustar00runnerrunner// Copyright 2007, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // Google Test - The Google C++ Testing Framework // // This file implements a universal value printer that can print a // value of any type T: // // void ::testing::internal::UniversalPrinter::Print(value, ostream_ptr); // // It uses the << operator when possible, and prints the bytes in the // object otherwise. A user can override its behavior for a class // type Foo by defining either operator<<(::std::ostream&, const Foo&) // or void PrintTo(const Foo&, ::std::ostream*) in the namespace that // defines Foo. #include "gtest/gtest-printers.h" #include #include #include #include // NOLINT #include #include "gtest/internal/gtest-port.h" namespace testing { namespace { using ::std::ostream; // Prints a segment of bytes in the given object. GTEST_ATTRIBUTE_NO_SANITIZE_MEMORY_ GTEST_ATTRIBUTE_NO_SANITIZE_ADDRESS_ GTEST_ATTRIBUTE_NO_SANITIZE_THREAD_ void PrintByteSegmentInObjectTo(const unsigned char* obj_bytes, size_t start, size_t count, ostream* os) { char text[5] = ""; for (size_t i = 0; i != count; i++) { const size_t j = start + i; if (i != 0) { // Organizes the bytes into groups of 2 for easy parsing by // human. if ((j % 2) == 0) *os << ' '; else *os << '-'; } GTEST_SNPRINTF_(text, sizeof(text), "%02X", obj_bytes[j]); *os << text; } } // Prints the bytes in the given value to the given ostream. void PrintBytesInObjectToImpl(const unsigned char* obj_bytes, size_t count, ostream* os) { // Tells the user how big the object is. *os << count << "-byte object <"; const size_t kThreshold = 132; const size_t kChunkSize = 64; // If the object size is bigger than kThreshold, we'll have to omit // some details by printing only the first and the last kChunkSize // bytes. // TODO(wan): let the user control the threshold using a flag. if (count < kThreshold) { PrintByteSegmentInObjectTo(obj_bytes, 0, count, os); } else { PrintByteSegmentInObjectTo(obj_bytes, 0, kChunkSize, os); *os << " ... "; // Rounds up to 2-byte boundary. const size_t resume_pos = (count - kChunkSize + 1)/2*2; PrintByteSegmentInObjectTo(obj_bytes, resume_pos, count - resume_pos, os); } *os << ">"; } } // namespace namespace internal2 { // Delegates to PrintBytesInObjectToImpl() to print the bytes in the // given object. The delegation simplifies the implementation, which // uses the << operator and thus is easier done outside of the // ::testing::internal namespace, which contains a << operator that // sometimes conflicts with the one in STL. void PrintBytesInObjectTo(const unsigned char* obj_bytes, size_t count, ostream* os) { PrintBytesInObjectToImpl(obj_bytes, count, os); } } // namespace internal2 namespace internal { // Depending on the value of a char (or wchar_t), we print it in one // of three formats: // - as is if it's a printable ASCII (e.g. 'a', '2', ' '), // - as a hexidecimal escape sequence (e.g. '\x7F'), or // - as a special escape sequence (e.g. '\r', '\n'). enum CharFormat { kAsIs, kHexEscape, kSpecialEscape }; // Returns true if c is a printable ASCII character. We test the // value of c directly instead of calling isprint(), which is buggy on // Windows Mobile. inline bool IsPrintableAscii(wchar_t c) { return 0x20 <= c && c <= 0x7E; } // Prints a wide or narrow char c as a character literal without the // quotes, escaping it when necessary; returns how c was formatted. // The template argument UnsignedChar is the unsigned version of Char, // which is the type of c. template static CharFormat PrintAsCharLiteralTo(Char c, ostream* os) { switch (static_cast(c)) { case L'\0': *os << "\\0"; break; case L'\'': *os << "\\'"; break; case L'\\': *os << "\\\\"; break; case L'\a': *os << "\\a"; break; case L'\b': *os << "\\b"; break; case L'\f': *os << "\\f"; break; case L'\n': *os << "\\n"; break; case L'\r': *os << "\\r"; break; case L'\t': *os << "\\t"; break; case L'\v': *os << "\\v"; break; default: if (IsPrintableAscii(c)) { *os << static_cast(c); return kAsIs; } else { *os << "\\x" + String::FormatHexInt(static_cast(c)); return kHexEscape; } } return kSpecialEscape; } // Prints a wchar_t c as if it's part of a string literal, escaping it when // necessary; returns how c was formatted. static CharFormat PrintAsStringLiteralTo(wchar_t c, ostream* os) { switch (c) { case L'\'': *os << "'"; return kAsIs; case L'"': *os << "\\\""; return kSpecialEscape; default: return PrintAsCharLiteralTo(c, os); } } // Prints a char c as if it's part of a string literal, escaping it when // necessary; returns how c was formatted. static CharFormat PrintAsStringLiteralTo(char c, ostream* os) { return PrintAsStringLiteralTo( static_cast(static_cast(c)), os); } // Prints a wide or narrow character c and its code. '\0' is printed // as "'\\0'", other unprintable characters are also properly escaped // using the standard C++ escape sequence. The template argument // UnsignedChar is the unsigned version of Char, which is the type of c. template void PrintCharAndCodeTo(Char c, ostream* os) { // First, print c as a literal in the most readable form we can find. *os << ((sizeof(c) > 1) ? "L'" : "'"); const CharFormat format = PrintAsCharLiteralTo(c, os); *os << "'"; // To aid user debugging, we also print c's code in decimal, unless // it's 0 (in which case c was printed as '\\0', making the code // obvious). if (c == 0) return; *os << " (" << static_cast(c); // For more convenience, we print c's code again in hexidecimal, // unless c was already printed in the form '\x##' or the code is in // [1, 9]. if (format == kHexEscape || (1 <= c && c <= 9)) { // Do nothing. } else { *os << ", 0x" << String::FormatHexInt(static_cast(c)); } *os << ")"; } void PrintTo(unsigned char c, ::std::ostream* os) { PrintCharAndCodeTo(c, os); } void PrintTo(signed char c, ::std::ostream* os) { PrintCharAndCodeTo(c, os); } // Prints a wchar_t as a symbol if it is printable or as its internal // code otherwise and also as its code. L'\0' is printed as "L'\\0'". void PrintTo(wchar_t wc, ostream* os) { PrintCharAndCodeTo(wc, os); } // Prints the given array of characters to the ostream. CharType must be either // char or wchar_t. // The array starts at begin, the length is len, it may include '\0' characters // and may not be NUL-terminated. template GTEST_ATTRIBUTE_NO_SANITIZE_MEMORY_ GTEST_ATTRIBUTE_NO_SANITIZE_ADDRESS_ GTEST_ATTRIBUTE_NO_SANITIZE_THREAD_ static void PrintCharsAsStringTo( const CharType* begin, size_t len, ostream* os) { const char* const kQuoteBegin = sizeof(CharType) == 1 ? "\"" : "L\""; *os << kQuoteBegin; bool is_previous_hex = false; for (size_t index = 0; index < len; ++index) { const CharType cur = begin[index]; if (is_previous_hex && IsXDigit(cur)) { // Previous character is of '\x..' form and this character can be // interpreted as another hexadecimal digit in its number. Break string to // disambiguate. *os << "\" " << kQuoteBegin; } is_previous_hex = PrintAsStringLiteralTo(cur, os) == kHexEscape; } *os << "\""; } // Prints a (const) char/wchar_t array of 'len' elements, starting at address // 'begin'. CharType must be either char or wchar_t. template GTEST_ATTRIBUTE_NO_SANITIZE_MEMORY_ GTEST_ATTRIBUTE_NO_SANITIZE_ADDRESS_ GTEST_ATTRIBUTE_NO_SANITIZE_THREAD_ static void UniversalPrintCharArray( const CharType* begin, size_t len, ostream* os) { // The code // const char kFoo[] = "foo"; // generates an array of 4, not 3, elements, with the last one being '\0'. // // Therefore when printing a char array, we don't print the last element if // it's '\0', such that the output matches the string literal as it's // written in the source code. if (len > 0 && begin[len - 1] == '\0') { PrintCharsAsStringTo(begin, len - 1, os); return; } // If, however, the last element in the array is not '\0', e.g. // const char kFoo[] = { 'f', 'o', 'o' }; // we must print the entire array. We also print a message to indicate // that the array is not NUL-terminated. PrintCharsAsStringTo(begin, len, os); *os << " (no terminating NUL)"; } // Prints a (const) char array of 'len' elements, starting at address 'begin'. void UniversalPrintArray(const char* begin, size_t len, ostream* os) { UniversalPrintCharArray(begin, len, os); } // Prints a (const) wchar_t array of 'len' elements, starting at address // 'begin'. void UniversalPrintArray(const wchar_t* begin, size_t len, ostream* os) { UniversalPrintCharArray(begin, len, os); } // Prints the given C string to the ostream. void PrintTo(const char* s, ostream* os) { if (s == NULL) { *os << "NULL"; } else { *os << ImplicitCast_(s) << " pointing to "; PrintCharsAsStringTo(s, strlen(s), os); } } // MSVC compiler can be configured to define whar_t as a typedef // of unsigned short. Defining an overload for const wchar_t* in that case // would cause pointers to unsigned shorts be printed as wide strings, // possibly accessing more memory than intended and causing invalid // memory accesses. MSVC defines _NATIVE_WCHAR_T_DEFINED symbol when // wchar_t is implemented as a native type. #if !defined(_MSC_VER) || defined(_NATIVE_WCHAR_T_DEFINED) // Prints the given wide C string to the ostream. void PrintTo(const wchar_t* s, ostream* os) { if (s == NULL) { *os << "NULL"; } else { *os << ImplicitCast_(s) << " pointing to "; PrintCharsAsStringTo(s, std::wcslen(s), os); } } #endif // wchar_t is native // Prints a ::string object. #if GTEST_HAS_GLOBAL_STRING void PrintStringTo(const ::string& s, ostream* os) { PrintCharsAsStringTo(s.data(), s.size(), os); } #endif // GTEST_HAS_GLOBAL_STRING void PrintStringTo(const ::std::string& s, ostream* os) { PrintCharsAsStringTo(s.data(), s.size(), os); } // Prints a ::wstring object. #if GTEST_HAS_GLOBAL_WSTRING void PrintWideStringTo(const ::wstring& s, ostream* os) { PrintCharsAsStringTo(s.data(), s.size(), os); } #endif // GTEST_HAS_GLOBAL_WSTRING #if GTEST_HAS_STD_WSTRING void PrintWideStringTo(const ::std::wstring& s, ostream* os) { PrintCharsAsStringTo(s.data(), s.size(), os); } #endif // GTEST_HAS_STD_WSTRING } // namespace internal } // namespace testing ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest-test-part.cc0000644000175100017510000001010315112307767023556 0ustar00runnerrunner// Copyright 2008, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: mheule@google.com (Markus Heule) // // The Google C++ Testing Framework (Google Test) #include "gtest/gtest-test-part.h" // Indicates that this translation unit is part of Google Test's // implementation. It must come before gtest-internal-inl.h is // included, or there will be a compiler error. This trick exists to // prevent the accidental inclusion of gtest-internal-inl.h in the // user's code. #define GTEST_IMPLEMENTATION_ 1 #include "src/gtest-internal-inl.h" #undef GTEST_IMPLEMENTATION_ namespace testing { using internal::GetUnitTestImpl; // Gets the summary of the failure message by omitting the stack trace // in it. std::string TestPartResult::ExtractSummary(const char* message) { const char* const stack_trace = strstr(message, internal::kStackTraceMarker); return stack_trace == NULL ? message : std::string(message, stack_trace); } // Prints a TestPartResult object. std::ostream& operator<<(std::ostream& os, const TestPartResult& result) { return os << result.file_name() << ":" << result.line_number() << ": " << (result.type() == TestPartResult::kSuccess ? "Success" : result.type() == TestPartResult::kFatalFailure ? "Fatal failure" : "Non-fatal failure") << ":\n" << result.message() << std::endl; } // Appends a TestPartResult to the array. void TestPartResultArray::Append(const TestPartResult& result) { array_.push_back(result); } // Returns the TestPartResult at the given index (0-based). const TestPartResult& TestPartResultArray::GetTestPartResult(int index) const { if (index < 0 || index >= size()) { printf("\nInvalid index (%d) into TestPartResultArray.\n", index); internal::posix::Abort(); } return array_[index]; } // Returns the number of TestPartResult objects in the array. int TestPartResultArray::size() const { return static_cast(array_.size()); } namespace internal { HasNewFatalFailureHelper::HasNewFatalFailureHelper() : has_new_fatal_failure_(false), original_reporter_(GetUnitTestImpl()-> GetTestPartResultReporterForCurrentThread()) { GetUnitTestImpl()->SetTestPartResultReporterForCurrentThread(this); } HasNewFatalFailureHelper::~HasNewFatalFailureHelper() { GetUnitTestImpl()->SetTestPartResultReporterForCurrentThread( original_reporter_); } void HasNewFatalFailureHelper::ReportTestPartResult( const TestPartResult& result) { if (result.fatally_failed()) has_new_fatal_failure_ = true; original_reporter_->ReportTestPartResult(result); } } // namespace internal } // namespace testing ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest-typed-test.cc0000644000175100017510000000757015112307767023753 0ustar00runnerrunner// Copyright 2008 Google Inc. // All Rights Reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) #include "gtest/gtest-typed-test.h" #include "gtest/gtest.h" namespace testing { namespace internal { #if GTEST_HAS_TYPED_TEST_P // Skips to the first non-space char in str. Returns an empty string if str // contains only whitespace characters. static const char* SkipSpaces(const char* str) { while (IsSpace(*str)) str++; return str; } static std::vector SplitIntoTestNames(const char* src) { std::vector name_vec; src = SkipSpaces(src); for (; src != NULL; src = SkipComma(src)) { name_vec.push_back(StripTrailingSpaces(GetPrefixUntilComma(src))); } return name_vec; } // Verifies that registered_tests match the test names in // registered_tests_; returns registered_tests if successful, or // aborts the program otherwise. const char* TypedTestCasePState::VerifyRegisteredTestNames( const char* file, int line, const char* registered_tests) { typedef RegisteredTestsMap::const_iterator RegisteredTestIter; registered_ = true; std::vector name_vec = SplitIntoTestNames(registered_tests); Message errors; std::set tests; for (std::vector::const_iterator name_it = name_vec.begin(); name_it != name_vec.end(); ++name_it) { const std::string& name = *name_it; if (tests.count(name) != 0) { errors << "Test " << name << " is listed more than once.\n"; continue; } bool found = false; for (RegisteredTestIter it = registered_tests_.begin(); it != registered_tests_.end(); ++it) { if (name == it->first) { found = true; break; } } if (found) { tests.insert(name); } else { errors << "No test named " << name << " can be found in this test case.\n"; } } for (RegisteredTestIter it = registered_tests_.begin(); it != registered_tests_.end(); ++it) { if (tests.count(it->first) == 0) { errors << "You forgot to list test " << it->first << ".\n"; } } const std::string& errors_str = errors.GetString(); if (errors_str != "") { fprintf(stderr, "%s %s", FormatFileLocation(file, line).c_str(), errors_str.c_str()); fflush(stderr); posix::Abort(); } return registered_tests; } #endif // GTEST_HAS_TYPED_TEST_P } // namespace internal } // namespace testing ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest.cc0000644000175100017510000057624315112307767021663 0ustar00runnerrunner// Copyright 2005, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Author: wan@google.com (Zhanyong Wan) // // The Google C++ Testing Framework (Google Test) #include "gtest/gtest.h" #include "gtest/internal/custom/gtest.h" #include "gtest/gtest-spi.h" #include #include #include #include #include #include #include #include #include #include #include #include #include #include // NOLINT #include #include #if GTEST_OS_LINUX // TODO(kenton@google.com): Use autoconf to detect availability of // gettimeofday(). # define GTEST_HAS_GETTIMEOFDAY_ 1 # include // NOLINT # include // NOLINT # include // NOLINT // Declares vsnprintf(). This header is not available on Windows. # include // NOLINT # include // NOLINT # include // NOLINT # include // NOLINT # include #elif GTEST_OS_SYMBIAN # define GTEST_HAS_GETTIMEOFDAY_ 1 # include // NOLINT #elif GTEST_OS_ZOS # define GTEST_HAS_GETTIMEOFDAY_ 1 # include // NOLINT // On z/OS we additionally need strings.h for strcasecmp. # include // NOLINT #elif GTEST_OS_WINDOWS_MOBILE // We are on Windows CE. # include // NOLINT # undef min #elif GTEST_OS_WINDOWS // We are on Windows proper. # include // NOLINT # include // NOLINT # include // NOLINT # include // NOLINT # if GTEST_OS_WINDOWS_MINGW // MinGW has gettimeofday() but not _ftime64(). // TODO(kenton@google.com): Use autoconf to detect availability of // gettimeofday(). // TODO(kenton@google.com): There are other ways to get the time on // Windows, like GetTickCount() or GetSystemTimeAsFileTime(). MinGW // supports these. consider using them instead. # define GTEST_HAS_GETTIMEOFDAY_ 1 # include // NOLINT # endif // GTEST_OS_WINDOWS_MINGW // cpplint thinks that the header is already included, so we want to // silence it. # include // NOLINT # undef min #else // Assume other platforms have gettimeofday(). // TODO(kenton@google.com): Use autoconf to detect availability of // gettimeofday(). # define GTEST_HAS_GETTIMEOFDAY_ 1 // cpplint thinks that the header is already included, so we want to // silence it. # include // NOLINT # include // NOLINT #endif // GTEST_OS_LINUX #if GTEST_HAS_EXCEPTIONS # include #endif #if GTEST_CAN_STREAM_RESULTS_ # include // NOLINT # include // NOLINT # include // NOLINT # include // NOLINT #endif // Indicates that this translation unit is part of Google Test's // implementation. It must come before gtest-internal-inl.h is // included, or there will be a compiler error. This trick is to // prevent a user from accidentally including gtest-internal-inl.h in // his code. #define GTEST_IMPLEMENTATION_ 1 #include "src/gtest-internal-inl.h" #undef GTEST_IMPLEMENTATION_ #if GTEST_OS_WINDOWS # define vsnprintf _vsnprintf #endif // GTEST_OS_WINDOWS namespace testing { using internal::CountIf; using internal::ForEach; using internal::GetElementOr; using internal::Shuffle; // Constants. // A test whose test case name or test name matches this filter is // disabled and not run. static const char kDisableTestFilter[] = "DISABLED_*:*/DISABLED_*"; // A test case whose name matches this filter is considered a death // test case and will be run before test cases whose name doesn't // match this filter. static const char kDeathTestCaseFilter[] = "*DeathTest:*DeathTest/*"; // A test filter that matches everything. static const char kUniversalFilter[] = "*"; // The default output file for XML output. static const char kDefaultOutputFile[] = "test_detail.xml"; // The environment variable name for the test shard index. static const char kTestShardIndex[] = "GTEST_SHARD_INDEX"; // The environment variable name for the total number of test shards. static const char kTestTotalShards[] = "GTEST_TOTAL_SHARDS"; // The environment variable name for the test shard status file. static const char kTestShardStatusFile[] = "GTEST_SHARD_STATUS_FILE"; namespace internal { // The text used in failure messages to indicate the start of the // stack trace. const char kStackTraceMarker[] = "\nStack trace:\n"; // g_help_flag is true iff the --help flag or an equivalent form is // specified on the command line. bool g_help_flag = false; } // namespace internal static const char* GetDefaultFilter() { #ifdef GTEST_TEST_FILTER_ENV_VAR_ const char* const testbridge_test_only = getenv(GTEST_TEST_FILTER_ENV_VAR_); if (testbridge_test_only != NULL) { return testbridge_test_only; } #endif // GTEST_TEST_FILTER_ENV_VAR_ return kUniversalFilter; } GTEST_DEFINE_bool_( also_run_disabled_tests, internal::BoolFromGTestEnv("also_run_disabled_tests", false), "Run disabled tests too, in addition to the tests normally being run."); GTEST_DEFINE_bool_( break_on_failure, internal::BoolFromGTestEnv("break_on_failure", false), "True iff a failed assertion should be a debugger break-point."); GTEST_DEFINE_bool_( catch_exceptions, internal::BoolFromGTestEnv("catch_exceptions", true), "True iff " GTEST_NAME_ " should catch exceptions and treat them as test failures."); GTEST_DEFINE_string_( color, internal::StringFromGTestEnv("color", "auto"), "Whether to use colors in the output. Valid values: yes, no, " "and auto. 'auto' means to use colors if the output is " "being sent to a terminal and the TERM environment variable " "is set to a terminal type that supports colors."); GTEST_DEFINE_string_( filter, internal::StringFromGTestEnv("filter", GetDefaultFilter()), "A colon-separated list of glob (not regex) patterns " "for filtering the tests to run, optionally followed by a " "'-' and a : separated list of negative patterns (tests to " "exclude). A test is run if it matches one of the positive " "patterns and does not match any of the negative patterns."); GTEST_DEFINE_bool_(list_tests, false, "List all tests without running them."); GTEST_DEFINE_string_( output, internal::StringFromGTestEnv("output", ""), "A format (currently must be \"xml\"), optionally followed " "by a colon and an output file name or directory. A directory " "is indicated by a trailing pathname separator. " "Examples: \"xml:filename.xml\", \"xml::directoryname/\". " "If a directory is specified, output files will be created " "within that directory, with file-names based on the test " "executable's name and, if necessary, made unique by adding " "digits."); GTEST_DEFINE_bool_( print_time, internal::BoolFromGTestEnv("print_time", true), "True iff " GTEST_NAME_ " should display elapsed time in text output."); GTEST_DEFINE_int32_( random_seed, internal::Int32FromGTestEnv("random_seed", 0), "Random number seed to use when shuffling test orders. Must be in range " "[1, 99999], or 0 to use a seed based on the current time."); GTEST_DEFINE_int32_( repeat, internal::Int32FromGTestEnv("repeat", 1), "How many times to repeat each test. Specify a negative number " "for repeating forever. Useful for shaking out flaky tests."); GTEST_DEFINE_bool_( show_internal_stack_frames, false, "True iff " GTEST_NAME_ " should include internal stack frames when " "printing test failure stack traces."); GTEST_DEFINE_bool_( shuffle, internal::BoolFromGTestEnv("shuffle", false), "True iff " GTEST_NAME_ " should randomize tests' order on every run."); GTEST_DEFINE_int32_( stack_trace_depth, internal::Int32FromGTestEnv("stack_trace_depth", kMaxStackTraceDepth), "The maximum number of stack frames to print when an " "assertion fails. The valid range is 0 through 100, inclusive."); GTEST_DEFINE_string_( stream_result_to, internal::StringFromGTestEnv("stream_result_to", ""), "This flag specifies the host name and the port number on which to stream " "test results. Example: \"localhost:555\". The flag is effective only on " "Linux."); GTEST_DEFINE_bool_( throw_on_failure, internal::BoolFromGTestEnv("throw_on_failure", false), "When this flag is specified, a failed assertion will throw an exception " "if exceptions are enabled or exit the program with a non-zero code " "otherwise."); #if GTEST_USE_OWN_FLAGFILE_FLAG_ GTEST_DEFINE_string_( flagfile, internal::StringFromGTestEnv("flagfile", ""), "This flag specifies the flagfile to read command-line flags from."); #endif // GTEST_USE_OWN_FLAGFILE_FLAG_ namespace internal { // Generates a random number from [0, range), using a Linear // Congruential Generator (LCG). Crashes if 'range' is 0 or greater // than kMaxRange. UInt32 Random::Generate(UInt32 range) { // These constants are the same as are used in glibc's rand(3). state_ = (1103515245U*state_ + 12345U) % kMaxRange; GTEST_CHECK_(range > 0) << "Cannot generate a number in the range [0, 0)."; GTEST_CHECK_(range <= kMaxRange) << "Generation of a number in [0, " << range << ") was requested, " << "but this can only generate numbers in [0, " << kMaxRange << ")."; // Converting via modulus introduces a bit of downward bias, but // it's simple, and a linear congruential generator isn't too good // to begin with. return state_ % range; } // GTestIsInitialized() returns true iff the user has initialized // Google Test. Useful for catching the user mistake of not initializing // Google Test before calling RUN_ALL_TESTS(). static bool GTestIsInitialized() { return GetArgvs().size() > 0; } // Iterates over a vector of TestCases, keeping a running sum of the // results of calling a given int-returning method on each. // Returns the sum. static int SumOverTestCaseList(const std::vector& case_list, int (TestCase::*method)() const) { int sum = 0; for (size_t i = 0; i < case_list.size(); i++) { sum += (case_list[i]->*method)(); } return sum; } // Returns true iff the test case passed. static bool TestCasePassed(const TestCase* test_case) { return test_case->should_run() && test_case->Passed(); } // Returns true iff the test case failed. static bool TestCaseFailed(const TestCase* test_case) { return test_case->should_run() && test_case->Failed(); } // Returns true iff test_case contains at least one test that should // run. static bool ShouldRunTestCase(const TestCase* test_case) { return test_case->should_run(); } // AssertHelper constructor. AssertHelper::AssertHelper(TestPartResult::Type type, const char* file, int line, const char* message) : data_(new AssertHelperData(type, file, line, message)) { } AssertHelper::~AssertHelper() { delete data_; } // Message assignment, for assertion streaming support. void AssertHelper::operator=(const Message& message) const { UnitTest::GetInstance()-> AddTestPartResult(data_->type, data_->file, data_->line, AppendUserMessage(data_->message, message), UnitTest::GetInstance()->impl() ->CurrentOsStackTraceExceptTop(1) // Skips the stack frame for this function itself. ); // NOLINT } // Mutex for linked pointers. GTEST_API_ GTEST_DEFINE_STATIC_MUTEX_(g_linked_ptr_mutex); // A copy of all command line arguments. Set by InitGoogleTest(). ::std::vector g_argvs; const ::std::vector& GetArgvs() { #if defined(GTEST_CUSTOM_GET_ARGVS_) return GTEST_CUSTOM_GET_ARGVS_(); #else // defined(GTEST_CUSTOM_GET_ARGVS_) return g_argvs; #endif // defined(GTEST_CUSTOM_GET_ARGVS_) } // Returns the current application's name, removing directory path if that // is present. FilePath GetCurrentExecutableName() { FilePath result; #if GTEST_OS_WINDOWS result.Set(FilePath(GetArgvs()[0]).RemoveExtension("exe")); #else result.Set(FilePath(GetArgvs()[0])); #endif // GTEST_OS_WINDOWS return result.RemoveDirectoryName(); } // Functions for processing the gtest_output flag. // Returns the output format, or "" for normal printed output. std::string UnitTestOptions::GetOutputFormat() { const char* const gtest_output_flag = GTEST_FLAG(output).c_str(); if (gtest_output_flag == NULL) return std::string(""); const char* const colon = strchr(gtest_output_flag, ':'); return (colon == NULL) ? std::string(gtest_output_flag) : std::string(gtest_output_flag, colon - gtest_output_flag); } // Returns the name of the requested output file, or the default if none // was explicitly specified. std::string UnitTestOptions::GetAbsolutePathToOutputFile() { const char* const gtest_output_flag = GTEST_FLAG(output).c_str(); if (gtest_output_flag == NULL) return ""; const char* const colon = strchr(gtest_output_flag, ':'); if (colon == NULL) return internal::FilePath::ConcatPaths( internal::FilePath( UnitTest::GetInstance()->original_working_dir()), internal::FilePath(kDefaultOutputFile)).string(); internal::FilePath output_name(colon + 1); if (!output_name.IsAbsolutePath()) // TODO(wan@google.com): on Windows \some\path is not an absolute // path (as its meaning depends on the current drive), yet the // following logic for turning it into an absolute path is wrong. // Fix it. output_name = internal::FilePath::ConcatPaths( internal::FilePath(UnitTest::GetInstance()->original_working_dir()), internal::FilePath(colon + 1)); if (!output_name.IsDirectory()) return output_name.string(); internal::FilePath result(internal::FilePath::GenerateUniqueFileName( output_name, internal::GetCurrentExecutableName(), GetOutputFormat().c_str())); return result.string(); } // Returns true iff the wildcard pattern matches the string. The // first ':' or '\0' character in pattern marks the end of it. // // This recursive algorithm isn't very efficient, but is clear and // works well enough for matching test names, which are short. bool UnitTestOptions::PatternMatchesString(const char *pattern, const char *str) { switch (*pattern) { case '\0': case ':': // Either ':' or '\0' marks the end of the pattern. return *str == '\0'; case '?': // Matches any single character. return *str != '\0' && PatternMatchesString(pattern + 1, str + 1); case '*': // Matches any string (possibly empty) of characters. return (*str != '\0' && PatternMatchesString(pattern, str + 1)) || PatternMatchesString(pattern + 1, str); default: // Non-special character. Matches itself. return *pattern == *str && PatternMatchesString(pattern + 1, str + 1); } } bool UnitTestOptions::MatchesFilter( const std::string& name, const char* filter) { const char *cur_pattern = filter; for (;;) { if (PatternMatchesString(cur_pattern, name.c_str())) { return true; } // Finds the next pattern in the filter. cur_pattern = strchr(cur_pattern, ':'); // Returns if no more pattern can be found. if (cur_pattern == NULL) { return false; } // Skips the pattern separater (the ':' character). cur_pattern++; } } // Returns true iff the user-specified filter matches the test case // name and the test name. bool UnitTestOptions::FilterMatchesTest(const std::string &test_case_name, const std::string &test_name) { const std::string& full_name = test_case_name + "." + test_name.c_str(); // Split --gtest_filter at '-', if there is one, to separate into // positive filter and negative filter portions const char* const p = GTEST_FLAG(filter).c_str(); const char* const dash = strchr(p, '-'); std::string positive; std::string negative; if (dash == NULL) { positive = GTEST_FLAG(filter).c_str(); // Whole string is a positive filter negative = ""; } else { positive = std::string(p, dash); // Everything up to the dash negative = std::string(dash + 1); // Everything after the dash if (positive.empty()) { // Treat '-test1' as the same as '*-test1' positive = kUniversalFilter; } } // A filter is a colon-separated list of patterns. It matches a // test if any pattern in it matches the test. return (MatchesFilter(full_name, positive.c_str()) && !MatchesFilter(full_name, negative.c_str())); } #if GTEST_HAS_SEH // Returns EXCEPTION_EXECUTE_HANDLER if Google Test should handle the // given SEH exception, or EXCEPTION_CONTINUE_SEARCH otherwise. // This function is useful as an __except condition. int UnitTestOptions::GTestShouldProcessSEH(DWORD exception_code) { // Google Test should handle a SEH exception if: // 1. the user wants it to, AND // 2. this is not a breakpoint exception, AND // 3. this is not a C++ exception (VC++ implements them via SEH, // apparently). // // SEH exception code for C++ exceptions. // (see http://support.microsoft.com/kb/185294 for more information). const DWORD kCxxExceptionCode = 0xe06d7363; bool should_handle = true; if (!GTEST_FLAG(catch_exceptions)) should_handle = false; else if (exception_code == EXCEPTION_BREAKPOINT) should_handle = false; else if (exception_code == kCxxExceptionCode) should_handle = false; return should_handle ? EXCEPTION_EXECUTE_HANDLER : EXCEPTION_CONTINUE_SEARCH; } #endif // GTEST_HAS_SEH } // namespace internal // The c'tor sets this object as the test part result reporter used by // Google Test. The 'result' parameter specifies where to report the // results. Intercepts only failures from the current thread. ScopedFakeTestPartResultReporter::ScopedFakeTestPartResultReporter( TestPartResultArray* result) : intercept_mode_(INTERCEPT_ONLY_CURRENT_THREAD), result_(result) { Init(); } // The c'tor sets this object as the test part result reporter used by // Google Test. The 'result' parameter specifies where to report the // results. ScopedFakeTestPartResultReporter::ScopedFakeTestPartResultReporter( InterceptMode intercept_mode, TestPartResultArray* result) : intercept_mode_(intercept_mode), result_(result) { Init(); } void ScopedFakeTestPartResultReporter::Init() { internal::UnitTestImpl* const impl = internal::GetUnitTestImpl(); if (intercept_mode_ == INTERCEPT_ALL_THREADS) { old_reporter_ = impl->GetGlobalTestPartResultReporter(); impl->SetGlobalTestPartResultReporter(this); } else { old_reporter_ = impl->GetTestPartResultReporterForCurrentThread(); impl->SetTestPartResultReporterForCurrentThread(this); } } // The d'tor restores the test part result reporter used by Google Test // before. ScopedFakeTestPartResultReporter::~ScopedFakeTestPartResultReporter() { internal::UnitTestImpl* const impl = internal::GetUnitTestImpl(); if (intercept_mode_ == INTERCEPT_ALL_THREADS) { impl->SetGlobalTestPartResultReporter(old_reporter_); } else { impl->SetTestPartResultReporterForCurrentThread(old_reporter_); } } // Increments the test part result count and remembers the result. // This method is from the TestPartResultReporterInterface interface. void ScopedFakeTestPartResultReporter::ReportTestPartResult( const TestPartResult& result) { result_->Append(result); } namespace internal { // Returns the type ID of ::testing::Test. We should always call this // instead of GetTypeId< ::testing::Test>() to get the type ID of // testing::Test. This is to work around a suspected linker bug when // using Google Test as a framework on Mac OS X. The bug causes // GetTypeId< ::testing::Test>() to return different values depending // on whether the call is from the Google Test framework itself or // from user test code. GetTestTypeId() is guaranteed to always // return the same value, as it always calls GetTypeId<>() from the // gtest.cc, which is within the Google Test framework. TypeId GetTestTypeId() { return GetTypeId(); } // The value of GetTestTypeId() as seen from within the Google Test // library. This is solely for testing GetTestTypeId(). extern const TypeId kTestTypeIdInGoogleTest = GetTestTypeId(); // This predicate-formatter checks that 'results' contains a test part // failure of the given type and that the failure message contains the // given substring. AssertionResult HasOneFailure(const char* /* results_expr */, const char* /* type_expr */, const char* /* substr_expr */, const TestPartResultArray& results, TestPartResult::Type type, const string& substr) { const std::string expected(type == TestPartResult::kFatalFailure ? "1 fatal failure" : "1 non-fatal failure"); Message msg; if (results.size() != 1) { msg << "Expected: " << expected << "\n" << " Actual: " << results.size() << " failures"; for (int i = 0; i < results.size(); i++) { msg << "\n" << results.GetTestPartResult(i); } return AssertionFailure() << msg; } const TestPartResult& r = results.GetTestPartResult(0); if (r.type() != type) { return AssertionFailure() << "Expected: " << expected << "\n" << " Actual:\n" << r; } if (strstr(r.message(), substr.c_str()) == NULL) { return AssertionFailure() << "Expected: " << expected << " containing \"" << substr << "\"\n" << " Actual:\n" << r; } return AssertionSuccess(); } // The constructor of SingleFailureChecker remembers where to look up // test part results, what type of failure we expect, and what // substring the failure message should contain. SingleFailureChecker:: SingleFailureChecker( const TestPartResultArray* results, TestPartResult::Type type, const string& substr) : results_(results), type_(type), substr_(substr) {} // The destructor of SingleFailureChecker verifies that the given // TestPartResultArray contains exactly one failure that has the given // type and contains the given substring. If that's not the case, a // non-fatal failure will be generated. SingleFailureChecker::~SingleFailureChecker() { EXPECT_PRED_FORMAT3(HasOneFailure, *results_, type_, substr_); } DefaultGlobalTestPartResultReporter::DefaultGlobalTestPartResultReporter( UnitTestImpl* unit_test) : unit_test_(unit_test) {} void DefaultGlobalTestPartResultReporter::ReportTestPartResult( const TestPartResult& result) { unit_test_->current_test_result()->AddTestPartResult(result); unit_test_->listeners()->repeater()->OnTestPartResult(result); } DefaultPerThreadTestPartResultReporter::DefaultPerThreadTestPartResultReporter( UnitTestImpl* unit_test) : unit_test_(unit_test) {} void DefaultPerThreadTestPartResultReporter::ReportTestPartResult( const TestPartResult& result) { unit_test_->GetGlobalTestPartResultReporter()->ReportTestPartResult(result); } // Returns the global test part result reporter. TestPartResultReporterInterface* UnitTestImpl::GetGlobalTestPartResultReporter() { internal::MutexLock lock(&global_test_part_result_reporter_mutex_); return global_test_part_result_repoter_; } // Sets the global test part result reporter. void UnitTestImpl::SetGlobalTestPartResultReporter( TestPartResultReporterInterface* reporter) { internal::MutexLock lock(&global_test_part_result_reporter_mutex_); global_test_part_result_repoter_ = reporter; } // Returns the test part result reporter for the current thread. TestPartResultReporterInterface* UnitTestImpl::GetTestPartResultReporterForCurrentThread() { return per_thread_test_part_result_reporter_.get(); } // Sets the test part result reporter for the current thread. void UnitTestImpl::SetTestPartResultReporterForCurrentThread( TestPartResultReporterInterface* reporter) { per_thread_test_part_result_reporter_.set(reporter); } // Gets the number of successful test cases. int UnitTestImpl::successful_test_case_count() const { return CountIf(test_cases_, TestCasePassed); } // Gets the number of failed test cases. int UnitTestImpl::failed_test_case_count() const { return CountIf(test_cases_, TestCaseFailed); } // Gets the number of all test cases. int UnitTestImpl::total_test_case_count() const { return static_cast(test_cases_.size()); } // Gets the number of all test cases that contain at least one test // that should run. int UnitTestImpl::test_case_to_run_count() const { return CountIf(test_cases_, ShouldRunTestCase); } // Gets the number of successful tests. int UnitTestImpl::successful_test_count() const { return SumOverTestCaseList(test_cases_, &TestCase::successful_test_count); } // Gets the number of failed tests. int UnitTestImpl::failed_test_count() const { return SumOverTestCaseList(test_cases_, &TestCase::failed_test_count); } // Gets the number of disabled tests that will be reported in the XML report. int UnitTestImpl::reportable_disabled_test_count() const { return SumOverTestCaseList(test_cases_, &TestCase::reportable_disabled_test_count); } // Gets the number of disabled tests. int UnitTestImpl::disabled_test_count() const { return SumOverTestCaseList(test_cases_, &TestCase::disabled_test_count); } // Gets the number of tests to be printed in the XML report. int UnitTestImpl::reportable_test_count() const { return SumOverTestCaseList(test_cases_, &TestCase::reportable_test_count); } // Gets the number of all tests. int UnitTestImpl::total_test_count() const { return SumOverTestCaseList(test_cases_, &TestCase::total_test_count); } // Gets the number of tests that should run. int UnitTestImpl::test_to_run_count() const { return SumOverTestCaseList(test_cases_, &TestCase::test_to_run_count); } // Returns the current OS stack trace as an std::string. // // The maximum number of stack frames to be included is specified by // the gtest_stack_trace_depth flag. The skip_count parameter // specifies the number of top frames to be skipped, which doesn't // count against the number of frames to be included. // // For example, if Foo() calls Bar(), which in turn calls // CurrentOsStackTraceExceptTop(1), Foo() will be included in the // trace but Bar() and CurrentOsStackTraceExceptTop() won't. std::string UnitTestImpl::CurrentOsStackTraceExceptTop(int skip_count) { return os_stack_trace_getter()->CurrentStackTrace( static_cast(GTEST_FLAG(stack_trace_depth)), skip_count + 1 // Skips the user-specified number of frames plus this function // itself. ); // NOLINT } // Returns the current time in milliseconds. TimeInMillis GetTimeInMillis() { #if GTEST_OS_WINDOWS_MOBILE || defined(__BORLANDC__) // Difference between 1970-01-01 and 1601-01-01 in milliseconds. // http://analogous.blogspot.com/2005/04/epoch.html const TimeInMillis kJavaEpochToWinFileTimeDelta = static_cast(116444736UL) * 100000UL; const DWORD kTenthMicrosInMilliSecond = 10000; SYSTEMTIME now_systime; FILETIME now_filetime; ULARGE_INTEGER now_int64; // TODO(kenton@google.com): Shouldn't this just use // GetSystemTimeAsFileTime()? GetSystemTime(&now_systime); if (SystemTimeToFileTime(&now_systime, &now_filetime)) { now_int64.LowPart = now_filetime.dwLowDateTime; now_int64.HighPart = now_filetime.dwHighDateTime; now_int64.QuadPart = (now_int64.QuadPart / kTenthMicrosInMilliSecond) - kJavaEpochToWinFileTimeDelta; return now_int64.QuadPart; } return 0; #elif GTEST_OS_WINDOWS && !GTEST_HAS_GETTIMEOFDAY_ __timeb64 now; // MSVC 8 deprecates _ftime64(), so we want to suppress warning 4996 // (deprecated function) there. // TODO(kenton@google.com): Use GetTickCount()? Or use // SystemTimeToFileTime() GTEST_DISABLE_MSC_WARNINGS_PUSH_(4996) _ftime64(&now); GTEST_DISABLE_MSC_WARNINGS_POP_() return static_cast(now.time) * 1000 + now.millitm; #elif GTEST_HAS_GETTIMEOFDAY_ struct timeval now; gettimeofday(&now, NULL); return static_cast(now.tv_sec) * 1000 + now.tv_usec / 1000; #else # error "Don't know how to get the current time on your system." #endif } // Utilities // class String. #if GTEST_OS_WINDOWS_MOBILE // Creates a UTF-16 wide string from the given ANSI string, allocating // memory using new. The caller is responsible for deleting the return // value using delete[]. Returns the wide string, or NULL if the // input is NULL. LPCWSTR String::AnsiToUtf16(const char* ansi) { if (!ansi) return NULL; const int length = strlen(ansi); const int unicode_length = MultiByteToWideChar(CP_ACP, 0, ansi, length, NULL, 0); WCHAR* unicode = new WCHAR[unicode_length + 1]; MultiByteToWideChar(CP_ACP, 0, ansi, length, unicode, unicode_length); unicode[unicode_length] = 0; return unicode; } // Creates an ANSI string from the given wide string, allocating // memory using new. The caller is responsible for deleting the return // value using delete[]. Returns the ANSI string, or NULL if the // input is NULL. const char* String::Utf16ToAnsi(LPCWSTR utf16_str) { if (!utf16_str) return NULL; const int ansi_length = WideCharToMultiByte(CP_ACP, 0, utf16_str, -1, NULL, 0, NULL, NULL); char* ansi = new char[ansi_length + 1]; WideCharToMultiByte(CP_ACP, 0, utf16_str, -1, ansi, ansi_length, NULL, NULL); ansi[ansi_length] = 0; return ansi; } #endif // GTEST_OS_WINDOWS_MOBILE // Compares two C strings. Returns true iff they have the same content. // // Unlike strcmp(), this function can handle NULL argument(s). A NULL // C string is considered different to any non-NULL C string, // including the empty string. bool String::CStringEquals(const char * lhs, const char * rhs) { if ( lhs == NULL ) return rhs == NULL; if ( rhs == NULL ) return false; return strcmp(lhs, rhs) == 0; } #if GTEST_HAS_STD_WSTRING || GTEST_HAS_GLOBAL_WSTRING // Converts an array of wide chars to a narrow string using the UTF-8 // encoding, and streams the result to the given Message object. static void StreamWideCharsToMessage(const wchar_t* wstr, size_t length, Message* msg) { for (size_t i = 0; i != length; ) { // NOLINT if (wstr[i] != L'\0') { *msg << WideStringToUtf8(wstr + i, static_cast(length - i)); while (i != length && wstr[i] != L'\0') i++; } else { *msg << '\0'; i++; } } } #endif // GTEST_HAS_STD_WSTRING || GTEST_HAS_GLOBAL_WSTRING void SplitString(const ::std::string& str, char delimiter, ::std::vector< ::std::string>* dest) { ::std::vector< ::std::string> parsed; ::std::string::size_type pos = 0; while (::testing::internal::AlwaysTrue()) { const ::std::string::size_type colon = str.find(delimiter, pos); if (colon == ::std::string::npos) { parsed.push_back(str.substr(pos)); break; } else { parsed.push_back(str.substr(pos, colon - pos)); pos = colon + 1; } } dest->swap(parsed); } } // namespace internal // Constructs an empty Message. // We allocate the stringstream separately because otherwise each use of // ASSERT/EXPECT in a procedure adds over 200 bytes to the procedure's // stack frame leading to huge stack frames in some cases; gcc does not reuse // the stack space. Message::Message() : ss_(new ::std::stringstream) { // By default, we want there to be enough precision when printing // a double to a Message. *ss_ << std::setprecision(std::numeric_limits::digits10 + 2); } // These two overloads allow streaming a wide C string to a Message // using the UTF-8 encoding. Message& Message::operator <<(const wchar_t* wide_c_str) { return *this << internal::String::ShowWideCString(wide_c_str); } Message& Message::operator <<(wchar_t* wide_c_str) { return *this << internal::String::ShowWideCString(wide_c_str); } #if GTEST_HAS_STD_WSTRING // Converts the given wide string to a narrow string using the UTF-8 // encoding, and streams the result to this Message object. Message& Message::operator <<(const ::std::wstring& wstr) { internal::StreamWideCharsToMessage(wstr.c_str(), wstr.length(), this); return *this; } #endif // GTEST_HAS_STD_WSTRING #if GTEST_HAS_GLOBAL_WSTRING // Converts the given wide string to a narrow string using the UTF-8 // encoding, and streams the result to this Message object. Message& Message::operator <<(const ::wstring& wstr) { internal::StreamWideCharsToMessage(wstr.c_str(), wstr.length(), this); return *this; } #endif // GTEST_HAS_GLOBAL_WSTRING // Gets the text streamed to this object so far as an std::string. // Each '\0' character in the buffer is replaced with "\\0". std::string Message::GetString() const { return internal::StringStreamToString(ss_.get()); } // AssertionResult constructors. // Used in EXPECT_TRUE/FALSE(assertion_result). AssertionResult::AssertionResult(const AssertionResult& other) : success_(other.success_), message_(other.message_.get() != NULL ? new ::std::string(*other.message_) : static_cast< ::std::string*>(NULL)) { } // Swaps two AssertionResults. void AssertionResult::swap(AssertionResult& other) { using std::swap; swap(success_, other.success_); swap(message_, other.message_); } // Returns the assertion's negation. Used with EXPECT/ASSERT_FALSE. AssertionResult AssertionResult::operator!() const { AssertionResult negation(!success_); if (message_.get() != NULL) negation << *message_; return negation; } // Makes a successful assertion result. AssertionResult AssertionSuccess() { return AssertionResult(true); } // Makes a failed assertion result. AssertionResult AssertionFailure() { return AssertionResult(false); } // Makes a failed assertion result with the given failure message. // Deprecated; use AssertionFailure() << message. AssertionResult AssertionFailure(const Message& message) { return AssertionFailure() << message; } namespace internal { namespace edit_distance { std::vector CalculateOptimalEdits(const std::vector& left, const std::vector& right) { std::vector > costs( left.size() + 1, std::vector(right.size() + 1)); std::vector > best_move( left.size() + 1, std::vector(right.size() + 1)); // Populate for empty right. for (size_t l_i = 0; l_i < costs.size(); ++l_i) { costs[l_i][0] = static_cast(l_i); best_move[l_i][0] = kRemove; } // Populate for empty left. for (size_t r_i = 1; r_i < costs[0].size(); ++r_i) { costs[0][r_i] = static_cast(r_i); best_move[0][r_i] = kAdd; } for (size_t l_i = 0; l_i < left.size(); ++l_i) { for (size_t r_i = 0; r_i < right.size(); ++r_i) { if (left[l_i] == right[r_i]) { // Found a match. Consume it. costs[l_i + 1][r_i + 1] = costs[l_i][r_i]; best_move[l_i + 1][r_i + 1] = kMatch; continue; } const double add = costs[l_i + 1][r_i]; const double remove = costs[l_i][r_i + 1]; const double replace = costs[l_i][r_i]; if (add < remove && add < replace) { costs[l_i + 1][r_i + 1] = add + 1; best_move[l_i + 1][r_i + 1] = kAdd; } else if (remove < add && remove < replace) { costs[l_i + 1][r_i + 1] = remove + 1; best_move[l_i + 1][r_i + 1] = kRemove; } else { // We make replace a little more expensive than add/remove to lower // their priority. costs[l_i + 1][r_i + 1] = replace + 1.00001; best_move[l_i + 1][r_i + 1] = kReplace; } } } // Reconstruct the best path. We do it in reverse order. std::vector best_path; for (size_t l_i = left.size(), r_i = right.size(); l_i > 0 || r_i > 0;) { EditType move = best_move[l_i][r_i]; best_path.push_back(move); l_i -= move != kAdd; r_i -= move != kRemove; } std::reverse(best_path.begin(), best_path.end()); return best_path; } namespace { // Helper class to convert string into ids with deduplication. class InternalStrings { public: size_t GetId(const std::string& str) { IdMap::iterator it = ids_.find(str); if (it != ids_.end()) return it->second; size_t id = ids_.size(); return ids_[str] = id; } private: typedef std::map IdMap; IdMap ids_; }; } // namespace std::vector CalculateOptimalEdits( const std::vector& left, const std::vector& right) { std::vector left_ids, right_ids; { InternalStrings intern_table; for (size_t i = 0; i < left.size(); ++i) { left_ids.push_back(intern_table.GetId(left[i])); } for (size_t i = 0; i < right.size(); ++i) { right_ids.push_back(intern_table.GetId(right[i])); } } return CalculateOptimalEdits(left_ids, right_ids); } namespace { // Helper class that holds the state for one hunk and prints it out to the // stream. // It reorders adds/removes when possible to group all removes before all // adds. It also adds the hunk header before printint into the stream. class Hunk { public: Hunk(size_t left_start, size_t right_start) : left_start_(left_start), right_start_(right_start), adds_(), removes_(), common_() {} void PushLine(char edit, const char* line) { switch (edit) { case ' ': ++common_; FlushEdits(); hunk_.push_back(std::make_pair(' ', line)); break; case '-': ++removes_; hunk_removes_.push_back(std::make_pair('-', line)); break; case '+': ++adds_; hunk_adds_.push_back(std::make_pair('+', line)); break; } } void PrintTo(std::ostream* os) { PrintHeader(os); FlushEdits(); for (std::list >::const_iterator it = hunk_.begin(); it != hunk_.end(); ++it) { *os << it->first << it->second << "\n"; } } bool has_edits() const { return adds_ || removes_; } private: void FlushEdits() { hunk_.splice(hunk_.end(), hunk_removes_); hunk_.splice(hunk_.end(), hunk_adds_); } // Print a unified diff header for one hunk. // The format is // "@@ -, +, @@" // where the left/right parts are ommitted if unnecessary. void PrintHeader(std::ostream* ss) const { *ss << "@@ "; if (removes_) { *ss << "-" << left_start_ << "," << (removes_ + common_); } if (removes_ && adds_) { *ss << " "; } if (adds_) { *ss << "+" << right_start_ << "," << (adds_ + common_); } *ss << " @@\n"; } size_t left_start_, right_start_; size_t adds_, removes_, common_; std::list > hunk_, hunk_adds_, hunk_removes_; }; } // namespace // Create a list of diff hunks in Unified diff format. // Each hunk has a header generated by PrintHeader above plus a body with // lines prefixed with ' ' for no change, '-' for deletion and '+' for // addition. // 'context' represents the desired unchanged prefix/suffix around the diff. // If two hunks are close enough that their contexts overlap, then they are // joined into one hunk. std::string CreateUnifiedDiff(const std::vector& left, const std::vector& right, size_t context) { const std::vector edits = CalculateOptimalEdits(left, right); size_t l_i = 0, r_i = 0, edit_i = 0; std::stringstream ss; while (edit_i < edits.size()) { // Find first edit. while (edit_i < edits.size() && edits[edit_i] == kMatch) { ++l_i; ++r_i; ++edit_i; } // Find the first line to include in the hunk. const size_t prefix_context = std::min(l_i, context); Hunk hunk(l_i - prefix_context + 1, r_i - prefix_context + 1); for (size_t i = prefix_context; i > 0; --i) { hunk.PushLine(' ', left[l_i - i].c_str()); } // Iterate the edits until we found enough suffix for the hunk or the input // is over. size_t n_suffix = 0; for (; edit_i < edits.size(); ++edit_i) { if (n_suffix >= context) { // Continue only if the next hunk is very close. std::vector::const_iterator it = edits.begin() + edit_i; while (it != edits.end() && *it == kMatch) ++it; if (it == edits.end() || (it - edits.begin()) - edit_i >= context) { // There is no next edit or it is too far away. break; } } EditType edit = edits[edit_i]; // Reset count when a non match is found. n_suffix = edit == kMatch ? n_suffix + 1 : 0; if (edit == kMatch || edit == kRemove || edit == kReplace) { hunk.PushLine(edit == kMatch ? ' ' : '-', left[l_i].c_str()); } if (edit == kAdd || edit == kReplace) { hunk.PushLine('+', right[r_i].c_str()); } // Advance indices, depending on edit type. l_i += edit != kAdd; r_i += edit != kRemove; } if (!hunk.has_edits()) { // We are done. We don't want this hunk. break; } hunk.PrintTo(&ss); } return ss.str(); } } // namespace edit_distance namespace { // The string representation of the values received in EqFailure() are already // escaped. Split them on escaped '\n' boundaries. Leave all other escaped // characters the same. std::vector SplitEscapedString(const std::string& str) { std::vector lines; size_t start = 0, end = str.size(); if (end > 2 && str[0] == '"' && str[end - 1] == '"') { ++start; --end; } bool escaped = false; for (size_t i = start; i + 1 < end; ++i) { if (escaped) { escaped = false; if (str[i] == 'n') { lines.push_back(str.substr(start, i - start - 1)); start = i + 1; } } else { escaped = str[i] == '\\'; } } lines.push_back(str.substr(start, end - start)); return lines; } } // namespace // Constructs and returns the message for an equality assertion // (e.g. ASSERT_EQ, EXPECT_STREQ, etc) failure. // // The first four parameters are the expressions used in the assertion // and their values, as strings. For example, for ASSERT_EQ(foo, bar) // where foo is 5 and bar is 6, we have: // // lhs_expression: "foo" // rhs_expression: "bar" // lhs_value: "5" // rhs_value: "6" // // The ignoring_case parameter is true iff the assertion is a // *_STRCASEEQ*. When it's true, the string "Ignoring case" will // be inserted into the message. AssertionResult EqFailure(const char* lhs_expression, const char* rhs_expression, const std::string& lhs_value, const std::string& rhs_value, bool ignoring_case) { Message msg; msg << " Expected: " << lhs_expression; if (lhs_value != lhs_expression) { msg << "\n Which is: " << lhs_value; } msg << "\nTo be equal to: " << rhs_expression; if (rhs_value != rhs_expression) { msg << "\n Which is: " << rhs_value; } if (ignoring_case) { msg << "\nIgnoring case"; } if (!lhs_value.empty() && !rhs_value.empty()) { const std::vector lhs_lines = SplitEscapedString(lhs_value); const std::vector rhs_lines = SplitEscapedString(rhs_value); if (lhs_lines.size() > 1 || rhs_lines.size() > 1) { msg << "\nWith diff:\n" << edit_distance::CreateUnifiedDiff(lhs_lines, rhs_lines); } } return AssertionFailure() << msg; } // Constructs a failure message for Boolean assertions such as EXPECT_TRUE. std::string GetBoolAssertionFailureMessage( const AssertionResult& assertion_result, const char* expression_text, const char* actual_predicate_value, const char* expected_predicate_value) { const char* actual_message = assertion_result.message(); Message msg; msg << "Value of: " << expression_text << "\n Actual: " << actual_predicate_value; if (actual_message[0] != '\0') msg << " (" << actual_message << ")"; msg << "\nExpected: " << expected_predicate_value; return msg.GetString(); } // Helper function for implementing ASSERT_NEAR. AssertionResult DoubleNearPredFormat(const char* expr1, const char* expr2, const char* abs_error_expr, double val1, double val2, double abs_error) { const double diff = fabs(val1 - val2); if (diff <= abs_error) return AssertionSuccess(); // TODO(wan): do not print the value of an expression if it's // already a literal. return AssertionFailure() << "The difference between " << expr1 << " and " << expr2 << " is " << diff << ", which exceeds " << abs_error_expr << ", where\n" << expr1 << " evaluates to " << val1 << ",\n" << expr2 << " evaluates to " << val2 << ", and\n" << abs_error_expr << " evaluates to " << abs_error << "."; } // Helper template for implementing FloatLE() and DoubleLE(). template AssertionResult FloatingPointLE(const char* expr1, const char* expr2, RawType val1, RawType val2) { // Returns success if val1 is less than val2, if (val1 < val2) { return AssertionSuccess(); } // or if val1 is almost equal to val2. const FloatingPoint lhs(val1), rhs(val2); if (lhs.AlmostEquals(rhs)) { return AssertionSuccess(); } // Note that the above two checks will both fail if either val1 or // val2 is NaN, as the IEEE floating-point standard requires that // any predicate involving a NaN must return false. ::std::stringstream val1_ss; val1_ss << std::setprecision(std::numeric_limits::digits10 + 2) << val1; ::std::stringstream val2_ss; val2_ss << std::setprecision(std::numeric_limits::digits10 + 2) << val2; return AssertionFailure() << "Expected: (" << expr1 << ") <= (" << expr2 << ")\n" << " Actual: " << StringStreamToString(&val1_ss) << " vs " << StringStreamToString(&val2_ss); } } // namespace internal // Asserts that val1 is less than, or almost equal to, val2. Fails // otherwise. In particular, it fails if either val1 or val2 is NaN. AssertionResult FloatLE(const char* expr1, const char* expr2, float val1, float val2) { return internal::FloatingPointLE(expr1, expr2, val1, val2); } // Asserts that val1 is less than, or almost equal to, val2. Fails // otherwise. In particular, it fails if either val1 or val2 is NaN. AssertionResult DoubleLE(const char* expr1, const char* expr2, double val1, double val2) { return internal::FloatingPointLE(expr1, expr2, val1, val2); } namespace internal { // The helper function for {ASSERT|EXPECT}_EQ with int or enum // arguments. AssertionResult CmpHelperEQ(const char* lhs_expression, const char* rhs_expression, BiggestInt lhs, BiggestInt rhs) { if (lhs == rhs) { return AssertionSuccess(); } return EqFailure(lhs_expression, rhs_expression, FormatForComparisonFailureMessage(lhs, rhs), FormatForComparisonFailureMessage(rhs, lhs), false); } // A macro for implementing the helper functions needed to implement // ASSERT_?? and EXPECT_?? with integer or enum arguments. It is here // just to avoid copy-and-paste of similar code. #define GTEST_IMPL_CMP_HELPER_(op_name, op)\ AssertionResult CmpHelper##op_name(const char* expr1, const char* expr2, \ BiggestInt val1, BiggestInt val2) {\ if (val1 op val2) {\ return AssertionSuccess();\ } else {\ return AssertionFailure() \ << "Expected: (" << expr1 << ") " #op " (" << expr2\ << "), actual: " << FormatForComparisonFailureMessage(val1, val2)\ << " vs " << FormatForComparisonFailureMessage(val2, val1);\ }\ } // Implements the helper function for {ASSERT|EXPECT}_NE with int or // enum arguments. GTEST_IMPL_CMP_HELPER_(NE, !=) // Implements the helper function for {ASSERT|EXPECT}_LE with int or // enum arguments. GTEST_IMPL_CMP_HELPER_(LE, <=) // Implements the helper function for {ASSERT|EXPECT}_LT with int or // enum arguments. GTEST_IMPL_CMP_HELPER_(LT, < ) // Implements the helper function for {ASSERT|EXPECT}_GE with int or // enum arguments. GTEST_IMPL_CMP_HELPER_(GE, >=) // Implements the helper function for {ASSERT|EXPECT}_GT with int or // enum arguments. GTEST_IMPL_CMP_HELPER_(GT, > ) #undef GTEST_IMPL_CMP_HELPER_ // The helper function for {ASSERT|EXPECT}_STREQ. AssertionResult CmpHelperSTREQ(const char* lhs_expression, const char* rhs_expression, const char* lhs, const char* rhs) { if (String::CStringEquals(lhs, rhs)) { return AssertionSuccess(); } return EqFailure(lhs_expression, rhs_expression, PrintToString(lhs), PrintToString(rhs), false); } // The helper function for {ASSERT|EXPECT}_STRCASEEQ. AssertionResult CmpHelperSTRCASEEQ(const char* lhs_expression, const char* rhs_expression, const char* lhs, const char* rhs) { if (String::CaseInsensitiveCStringEquals(lhs, rhs)) { return AssertionSuccess(); } return EqFailure(lhs_expression, rhs_expression, PrintToString(lhs), PrintToString(rhs), true); } // The helper function for {ASSERT|EXPECT}_STRNE. AssertionResult CmpHelperSTRNE(const char* s1_expression, const char* s2_expression, const char* s1, const char* s2) { if (!String::CStringEquals(s1, s2)) { return AssertionSuccess(); } else { return AssertionFailure() << "Expected: (" << s1_expression << ") != (" << s2_expression << "), actual: \"" << s1 << "\" vs \"" << s2 << "\""; } } // The helper function for {ASSERT|EXPECT}_STRCASENE. AssertionResult CmpHelperSTRCASENE(const char* s1_expression, const char* s2_expression, const char* s1, const char* s2) { if (!String::CaseInsensitiveCStringEquals(s1, s2)) { return AssertionSuccess(); } else { return AssertionFailure() << "Expected: (" << s1_expression << ") != (" << s2_expression << ") (ignoring case), actual: \"" << s1 << "\" vs \"" << s2 << "\""; } } } // namespace internal namespace { // Helper functions for implementing IsSubString() and IsNotSubstring(). // This group of overloaded functions return true iff needle is a // substring of haystack. NULL is considered a substring of itself // only. bool IsSubstringPred(const char* needle, const char* haystack) { if (needle == NULL || haystack == NULL) return needle == haystack; return strstr(haystack, needle) != NULL; } bool IsSubstringPred(const wchar_t* needle, const wchar_t* haystack) { if (needle == NULL || haystack == NULL) return needle == haystack; return wcsstr(haystack, needle) != NULL; } // StringType here can be either ::std::string or ::std::wstring. template bool IsSubstringPred(const StringType& needle, const StringType& haystack) { return haystack.find(needle) != StringType::npos; } // This function implements either IsSubstring() or IsNotSubstring(), // depending on the value of the expected_to_be_substring parameter. // StringType here can be const char*, const wchar_t*, ::std::string, // or ::std::wstring. template AssertionResult IsSubstringImpl( bool expected_to_be_substring, const char* needle_expr, const char* haystack_expr, const StringType& needle, const StringType& haystack) { if (IsSubstringPred(needle, haystack) == expected_to_be_substring) return AssertionSuccess(); const bool is_wide_string = sizeof(needle[0]) > 1; const char* const begin_string_quote = is_wide_string ? "L\"" : "\""; return AssertionFailure() << "Value of: " << needle_expr << "\n" << " Actual: " << begin_string_quote << needle << "\"\n" << "Expected: " << (expected_to_be_substring ? "" : "not ") << "a substring of " << haystack_expr << "\n" << "Which is: " << begin_string_quote << haystack << "\""; } } // namespace // IsSubstring() and IsNotSubstring() check whether needle is a // substring of haystack (NULL is considered a substring of itself // only), and return an appropriate error message when they fail. AssertionResult IsSubstring( const char* needle_expr, const char* haystack_expr, const char* needle, const char* haystack) { return IsSubstringImpl(true, needle_expr, haystack_expr, needle, haystack); } AssertionResult IsSubstring( const char* needle_expr, const char* haystack_expr, const wchar_t* needle, const wchar_t* haystack) { return IsSubstringImpl(true, needle_expr, haystack_expr, needle, haystack); } AssertionResult IsNotSubstring( const char* needle_expr, const char* haystack_expr, const char* needle, const char* haystack) { return IsSubstringImpl(false, needle_expr, haystack_expr, needle, haystack); } AssertionResult IsNotSubstring( const char* needle_expr, const char* haystack_expr, const wchar_t* needle, const wchar_t* haystack) { return IsSubstringImpl(false, needle_expr, haystack_expr, needle, haystack); } AssertionResult IsSubstring( const char* needle_expr, const char* haystack_expr, const ::std::string& needle, const ::std::string& haystack) { return IsSubstringImpl(true, needle_expr, haystack_expr, needle, haystack); } AssertionResult IsNotSubstring( const char* needle_expr, const char* haystack_expr, const ::std::string& needle, const ::std::string& haystack) { return IsSubstringImpl(false, needle_expr, haystack_expr, needle, haystack); } #if GTEST_HAS_STD_WSTRING AssertionResult IsSubstring( const char* needle_expr, const char* haystack_expr, const ::std::wstring& needle, const ::std::wstring& haystack) { return IsSubstringImpl(true, needle_expr, haystack_expr, needle, haystack); } AssertionResult IsNotSubstring( const char* needle_expr, const char* haystack_expr, const ::std::wstring& needle, const ::std::wstring& haystack) { return IsSubstringImpl(false, needle_expr, haystack_expr, needle, haystack); } #endif // GTEST_HAS_STD_WSTRING namespace internal { #if GTEST_OS_WINDOWS namespace { // Helper function for IsHRESULT{SuccessFailure} predicates AssertionResult HRESULTFailureHelper(const char* expr, const char* expected, long hr) { // NOLINT # if GTEST_OS_WINDOWS_MOBILE // Windows CE doesn't support FormatMessage. const char error_text[] = ""; # else // Looks up the human-readable system message for the HRESULT code // and since we're not passing any params to FormatMessage, we don't // want inserts expanded. const DWORD kFlags = FORMAT_MESSAGE_FROM_SYSTEM | FORMAT_MESSAGE_IGNORE_INSERTS; const DWORD kBufSize = 4096; // Gets the system's human readable message string for this HRESULT. char error_text[kBufSize] = { '\0' }; DWORD message_length = ::FormatMessageA(kFlags, 0, // no source, we're asking system hr, // the error 0, // no line width restrictions error_text, // output buffer kBufSize, // buf size NULL); // no arguments for inserts // Trims tailing white space (FormatMessage leaves a trailing CR-LF) for (; message_length && IsSpace(error_text[message_length - 1]); --message_length) { error_text[message_length - 1] = '\0'; } # endif // GTEST_OS_WINDOWS_MOBILE const std::string error_hex("0x" + String::FormatHexInt(hr)); return ::testing::AssertionFailure() << "Expected: " << expr << " " << expected << ".\n" << " Actual: " << error_hex << " " << error_text << "\n"; } } // namespace AssertionResult IsHRESULTSuccess(const char* expr, long hr) { // NOLINT if (SUCCEEDED(hr)) { return AssertionSuccess(); } return HRESULTFailureHelper(expr, "succeeds", hr); } AssertionResult IsHRESULTFailure(const char* expr, long hr) { // NOLINT if (FAILED(hr)) { return AssertionSuccess(); } return HRESULTFailureHelper(expr, "fails", hr); } #endif // GTEST_OS_WINDOWS // Utility functions for encoding Unicode text (wide strings) in // UTF-8. // A Unicode code-point can have upto 21 bits, and is encoded in UTF-8 // like this: // // Code-point length Encoding // 0 - 7 bits 0xxxxxxx // 8 - 11 bits 110xxxxx 10xxxxxx // 12 - 16 bits 1110xxxx 10xxxxxx 10xxxxxx // 17 - 21 bits 11110xxx 10xxxxxx 10xxxxxx 10xxxxxx // The maximum code-point a one-byte UTF-8 sequence can represent. const UInt32 kMaxCodePoint1 = (static_cast(1) << 7) - 1; // The maximum code-point a two-byte UTF-8 sequence can represent. const UInt32 kMaxCodePoint2 = (static_cast(1) << (5 + 6)) - 1; // The maximum code-point a three-byte UTF-8 sequence can represent. const UInt32 kMaxCodePoint3 = (static_cast(1) << (4 + 2*6)) - 1; // The maximum code-point a four-byte UTF-8 sequence can represent. const UInt32 kMaxCodePoint4 = (static_cast(1) << (3 + 3*6)) - 1; // Chops off the n lowest bits from a bit pattern. Returns the n // lowest bits. As a side effect, the original bit pattern will be // shifted to the right by n bits. inline UInt32 ChopLowBits(UInt32* bits, int n) { const UInt32 low_bits = *bits & ((static_cast(1) << n) - 1); *bits >>= n; return low_bits; } // Converts a Unicode code point to a narrow string in UTF-8 encoding. // code_point parameter is of type UInt32 because wchar_t may not be // wide enough to contain a code point. // If the code_point is not a valid Unicode code point // (i.e. outside of Unicode range U+0 to U+10FFFF) it will be converted // to "(Invalid Unicode 0xXXXXXXXX)". std::string CodePointToUtf8(UInt32 code_point) { if (code_point > kMaxCodePoint4) { return "(Invalid Unicode 0x" + String::FormatHexInt(code_point) + ")"; } char str[5]; // Big enough for the largest valid code point. if (code_point <= kMaxCodePoint1) { str[1] = '\0'; str[0] = static_cast(code_point); // 0xxxxxxx } else if (code_point <= kMaxCodePoint2) { str[2] = '\0'; str[1] = static_cast(0x80 | ChopLowBits(&code_point, 6)); // 10xxxxxx str[0] = static_cast(0xC0 | code_point); // 110xxxxx } else if (code_point <= kMaxCodePoint3) { str[3] = '\0'; str[2] = static_cast(0x80 | ChopLowBits(&code_point, 6)); // 10xxxxxx str[1] = static_cast(0x80 | ChopLowBits(&code_point, 6)); // 10xxxxxx str[0] = static_cast(0xE0 | code_point); // 1110xxxx } else { // code_point <= kMaxCodePoint4 str[4] = '\0'; str[3] = static_cast(0x80 | ChopLowBits(&code_point, 6)); // 10xxxxxx str[2] = static_cast(0x80 | ChopLowBits(&code_point, 6)); // 10xxxxxx str[1] = static_cast(0x80 | ChopLowBits(&code_point, 6)); // 10xxxxxx str[0] = static_cast(0xF0 | code_point); // 11110xxx } return str; } // The following two functions only make sense if the system // uses UTF-16 for wide string encoding. All supported systems // with 16 bit wchar_t (Windows, Cygwin, Symbian OS) do use UTF-16. // Determines if the arguments constitute UTF-16 surrogate pair // and thus should be combined into a single Unicode code point // using CreateCodePointFromUtf16SurrogatePair. inline bool IsUtf16SurrogatePair(wchar_t first, wchar_t second) { return sizeof(wchar_t) == 2 && (first & 0xFC00) == 0xD800 && (second & 0xFC00) == 0xDC00; } // Creates a Unicode code point from UTF16 surrogate pair. inline UInt32 CreateCodePointFromUtf16SurrogatePair(wchar_t first, wchar_t second) { const UInt32 mask = (1 << 10) - 1; return (sizeof(wchar_t) == 2) ? (((first & mask) << 10) | (second & mask)) + 0x10000 : // This function should not be called when the condition is // false, but we provide a sensible default in case it is. static_cast(first); } // Converts a wide string to a narrow string in UTF-8 encoding. // The wide string is assumed to have the following encoding: // UTF-16 if sizeof(wchar_t) == 2 (on Windows, Cygwin, Symbian OS) // UTF-32 if sizeof(wchar_t) == 4 (on Linux) // Parameter str points to a null-terminated wide string. // Parameter num_chars may additionally limit the number // of wchar_t characters processed. -1 is used when the entire string // should be processed. // If the string contains code points that are not valid Unicode code points // (i.e. outside of Unicode range U+0 to U+10FFFF) they will be output // as '(Invalid Unicode 0xXXXXXXXX)'. If the string is in UTF16 encoding // and contains invalid UTF-16 surrogate pairs, values in those pairs // will be encoded as individual Unicode characters from Basic Normal Plane. std::string WideStringToUtf8(const wchar_t* str, int num_chars) { if (num_chars == -1) num_chars = static_cast(wcslen(str)); ::std::stringstream stream; for (int i = 0; i < num_chars; ++i) { UInt32 unicode_code_point; if (str[i] == L'\0') { break; } else if (i + 1 < num_chars && IsUtf16SurrogatePair(str[i], str[i + 1])) { unicode_code_point = CreateCodePointFromUtf16SurrogatePair(str[i], str[i + 1]); i++; } else { unicode_code_point = static_cast(str[i]); } stream << CodePointToUtf8(unicode_code_point); } return StringStreamToString(&stream); } // Converts a wide C string to an std::string using the UTF-8 encoding. // NULL will be converted to "(null)". std::string String::ShowWideCString(const wchar_t * wide_c_str) { if (wide_c_str == NULL) return "(null)"; return internal::WideStringToUtf8(wide_c_str, -1); } // Compares two wide C strings. Returns true iff they have the same // content. // // Unlike wcscmp(), this function can handle NULL argument(s). A NULL // C string is considered different to any non-NULL C string, // including the empty string. bool String::WideCStringEquals(const wchar_t * lhs, const wchar_t * rhs) { if (lhs == NULL) return rhs == NULL; if (rhs == NULL) return false; return wcscmp(lhs, rhs) == 0; } // Helper function for *_STREQ on wide strings. AssertionResult CmpHelperSTREQ(const char* lhs_expression, const char* rhs_expression, const wchar_t* lhs, const wchar_t* rhs) { if (String::WideCStringEquals(lhs, rhs)) { return AssertionSuccess(); } return EqFailure(lhs_expression, rhs_expression, PrintToString(lhs), PrintToString(rhs), false); } // Helper function for *_STRNE on wide strings. AssertionResult CmpHelperSTRNE(const char* s1_expression, const char* s2_expression, const wchar_t* s1, const wchar_t* s2) { if (!String::WideCStringEquals(s1, s2)) { return AssertionSuccess(); } return AssertionFailure() << "Expected: (" << s1_expression << ") != (" << s2_expression << "), actual: " << PrintToString(s1) << " vs " << PrintToString(s2); } // Compares two C strings, ignoring case. Returns true iff they have // the same content. // // Unlike strcasecmp(), this function can handle NULL argument(s). A // NULL C string is considered different to any non-NULL C string, // including the empty string. bool String::CaseInsensitiveCStringEquals(const char * lhs, const char * rhs) { if (lhs == NULL) return rhs == NULL; if (rhs == NULL) return false; return posix::StrCaseCmp(lhs, rhs) == 0; } // Compares two wide C strings, ignoring case. Returns true iff they // have the same content. // // Unlike wcscasecmp(), this function can handle NULL argument(s). // A NULL C string is considered different to any non-NULL wide C string, // including the empty string. // NB: The implementations on different platforms slightly differ. // On windows, this method uses _wcsicmp which compares according to LC_CTYPE // environment variable. On GNU platform this method uses wcscasecmp // which compares according to LC_CTYPE category of the current locale. // On MacOS X, it uses towlower, which also uses LC_CTYPE category of the // current locale. bool String::CaseInsensitiveWideCStringEquals(const wchar_t* lhs, const wchar_t* rhs) { if (lhs == NULL) return rhs == NULL; if (rhs == NULL) return false; #if GTEST_OS_WINDOWS return _wcsicmp(lhs, rhs) == 0; #elif GTEST_OS_LINUX && !GTEST_OS_LINUX_ANDROID return wcscasecmp(lhs, rhs) == 0; #else // Android, Mac OS X and Cygwin don't define wcscasecmp. // Other unknown OSes may not define it either. wint_t left, right; do { left = towlower(*lhs++); right = towlower(*rhs++); } while (left && left == right); return left == right; #endif // OS selector } // Returns true iff str ends with the given suffix, ignoring case. // Any string is considered to end with an empty suffix. bool String::EndsWithCaseInsensitive( const std::string& str, const std::string& suffix) { const size_t str_len = str.length(); const size_t suffix_len = suffix.length(); return (str_len >= suffix_len) && CaseInsensitiveCStringEquals(str.c_str() + str_len - suffix_len, suffix.c_str()); } // Formats an int value as "%02d". std::string String::FormatIntWidth2(int value) { std::stringstream ss; ss << std::setfill('0') << std::setw(2) << value; return ss.str(); } // Formats an int value as "%X". std::string String::FormatHexInt(int value) { std::stringstream ss; ss << std::hex << std::uppercase << value; return ss.str(); } // Formats a byte as "%02X". std::string String::FormatByte(unsigned char value) { std::stringstream ss; ss << std::setfill('0') << std::setw(2) << std::hex << std::uppercase << static_cast(value); return ss.str(); } // Converts the buffer in a stringstream to an std::string, converting NUL // bytes to "\\0" along the way. std::string StringStreamToString(::std::stringstream* ss) { const ::std::string& str = ss->str(); const char* const start = str.c_str(); const char* const end = start + str.length(); std::string result; result.reserve(2 * (end - start)); for (const char* ch = start; ch != end; ++ch) { if (*ch == '\0') { result += "\\0"; // Replaces NUL with "\\0"; } else { result += *ch; } } return result; } // Appends the user-supplied message to the Google-Test-generated message. std::string AppendUserMessage(const std::string& gtest_msg, const Message& user_msg) { // Appends the user message if it's non-empty. const std::string user_msg_string = user_msg.GetString(); if (user_msg_string.empty()) { return gtest_msg; } return gtest_msg + "\n" + user_msg_string; } } // namespace internal // class TestResult // Creates an empty TestResult. TestResult::TestResult() : death_test_count_(0), elapsed_time_(0) { } // D'tor. TestResult::~TestResult() { } // Returns the i-th test part result among all the results. i can // range from 0 to total_part_count() - 1. If i is not in that range, // aborts the program. const TestPartResult& TestResult::GetTestPartResult(int i) const { if (i < 0 || i >= total_part_count()) internal::posix::Abort(); return test_part_results_.at(i); } // Returns the i-th test property. i can range from 0 to // test_property_count() - 1. If i is not in that range, aborts the // program. const TestProperty& TestResult::GetTestProperty(int i) const { if (i < 0 || i >= test_property_count()) internal::posix::Abort(); return test_properties_.at(i); } // Clears the test part results. void TestResult::ClearTestPartResults() { test_part_results_.clear(); } // Adds a test part result to the list. void TestResult::AddTestPartResult(const TestPartResult& test_part_result) { test_part_results_.push_back(test_part_result); } // Adds a test property to the list. If a property with the same key as the // supplied property is already represented, the value of this test_property // replaces the old value for that key. void TestResult::RecordProperty(const std::string& xml_element, const TestProperty& test_property) { if (!ValidateTestProperty(xml_element, test_property)) { return; } internal::MutexLock lock(&test_properites_mutex_); const std::vector::iterator property_with_matching_key = std::find_if(test_properties_.begin(), test_properties_.end(), internal::TestPropertyKeyIs(test_property.key())); if (property_with_matching_key == test_properties_.end()) { test_properties_.push_back(test_property); return; } property_with_matching_key->SetValue(test_property.value()); } // The list of reserved attributes used in the element of XML // output. static const char* const kReservedTestSuitesAttributes[] = { "disabled", "errors", "failures", "name", "random_seed", "tests", "time", "timestamp" }; // The list of reserved attributes used in the element of XML // output. static const char* const kReservedTestSuiteAttributes[] = { "disabled", "errors", "failures", "name", "tests", "time" }; // The list of reserved attributes used in the element of XML output. static const char* const kReservedTestCaseAttributes[] = { "classname", "name", "status", "time", "type_param", "value_param" }; template std::vector ArrayAsVector(const char* const (&array)[kSize]) { return std::vector(array, array + kSize); } static std::vector GetReservedAttributesForElement( const std::string& xml_element) { if (xml_element == "testsuites") { return ArrayAsVector(kReservedTestSuitesAttributes); } else if (xml_element == "testsuite") { return ArrayAsVector(kReservedTestSuiteAttributes); } else if (xml_element == "testcase") { return ArrayAsVector(kReservedTestCaseAttributes); } else { GTEST_CHECK_(false) << "Unrecognized xml_element provided: " << xml_element; } // This code is unreachable but some compilers may not realizes that. return std::vector(); } static std::string FormatWordList(const std::vector& words) { Message word_list; for (size_t i = 0; i < words.size(); ++i) { if (i > 0 && words.size() > 2) { word_list << ", "; } if (i == words.size() - 1) { word_list << "and "; } word_list << "'" << words[i] << "'"; } return word_list.GetString(); } bool ValidateTestPropertyName(const std::string& property_name, const std::vector& reserved_names) { if (std::find(reserved_names.begin(), reserved_names.end(), property_name) != reserved_names.end()) { ADD_FAILURE() << "Reserved key used in RecordProperty(): " << property_name << " (" << FormatWordList(reserved_names) << " are reserved by " << GTEST_NAME_ << ")"; return false; } return true; } // Adds a failure if the key is a reserved attribute of the element named // xml_element. Returns true if the property is valid. bool TestResult::ValidateTestProperty(const std::string& xml_element, const TestProperty& test_property) { return ValidateTestPropertyName(test_property.key(), GetReservedAttributesForElement(xml_element)); } // Clears the object. void TestResult::Clear() { test_part_results_.clear(); test_properties_.clear(); death_test_count_ = 0; elapsed_time_ = 0; } // Returns true iff the test failed. bool TestResult::Failed() const { for (int i = 0; i < total_part_count(); ++i) { if (GetTestPartResult(i).failed()) return true; } return false; } // Returns true iff the test part fatally failed. static bool TestPartFatallyFailed(const TestPartResult& result) { return result.fatally_failed(); } // Returns true iff the test fatally failed. bool TestResult::HasFatalFailure() const { return CountIf(test_part_results_, TestPartFatallyFailed) > 0; } // Returns true iff the test part non-fatally failed. static bool TestPartNonfatallyFailed(const TestPartResult& result) { return result.nonfatally_failed(); } // Returns true iff the test has a non-fatal failure. bool TestResult::HasNonfatalFailure() const { return CountIf(test_part_results_, TestPartNonfatallyFailed) > 0; } // Gets the number of all test parts. This is the sum of the number // of successful test parts and the number of failed test parts. int TestResult::total_part_count() const { return static_cast(test_part_results_.size()); } // Returns the number of the test properties. int TestResult::test_property_count() const { return static_cast(test_properties_.size()); } // class Test // Creates a Test object. // The c'tor saves the states of all flags. Test::Test() : gtest_flag_saver_(new GTEST_FLAG_SAVER_) { } // The d'tor restores the states of all flags. The actual work is // done by the d'tor of the gtest_flag_saver_ field, and thus not // visible here. Test::~Test() { } // Sets up the test fixture. // // A sub-class may override this. void Test::SetUp() { } // Tears down the test fixture. // // A sub-class may override this. void Test::TearDown() { } // Allows user supplied key value pairs to be recorded for later output. void Test::RecordProperty(const std::string& key, const std::string& value) { UnitTest::GetInstance()->RecordProperty(key, value); } // Allows user supplied key value pairs to be recorded for later output. void Test::RecordProperty(const std::string& key, int value) { Message value_message; value_message << value; RecordProperty(key, value_message.GetString().c_str()); } namespace internal { void ReportFailureInUnknownLocation(TestPartResult::Type result_type, const std::string& message) { // This function is a friend of UnitTest and as such has access to // AddTestPartResult. UnitTest::GetInstance()->AddTestPartResult( result_type, NULL, // No info about the source file where the exception occurred. -1, // We have no info on which line caused the exception. message, ""); // No stack trace, either. } } // namespace internal // Google Test requires all tests in the same test case to use the same test // fixture class. This function checks if the current test has the // same fixture class as the first test in the current test case. If // yes, it returns true; otherwise it generates a Google Test failure and // returns false. bool Test::HasSameFixtureClass() { internal::UnitTestImpl* const impl = internal::GetUnitTestImpl(); const TestCase* const test_case = impl->current_test_case(); // Info about the first test in the current test case. const TestInfo* const first_test_info = test_case->test_info_list()[0]; const internal::TypeId first_fixture_id = first_test_info->fixture_class_id_; const char* const first_test_name = first_test_info->name(); // Info about the current test. const TestInfo* const this_test_info = impl->current_test_info(); const internal::TypeId this_fixture_id = this_test_info->fixture_class_id_; const char* const this_test_name = this_test_info->name(); if (this_fixture_id != first_fixture_id) { // Is the first test defined using TEST? const bool first_is_TEST = first_fixture_id == internal::GetTestTypeId(); // Is this test defined using TEST? const bool this_is_TEST = this_fixture_id == internal::GetTestTypeId(); if (first_is_TEST || this_is_TEST) { // Both TEST and TEST_F appear in same test case, which is incorrect. // Tell the user how to fix this. // Gets the name of the TEST and the name of the TEST_F. Note // that first_is_TEST and this_is_TEST cannot both be true, as // the fixture IDs are different for the two tests. const char* const TEST_name = first_is_TEST ? first_test_name : this_test_name; const char* const TEST_F_name = first_is_TEST ? this_test_name : first_test_name; ADD_FAILURE() << "All tests in the same test case must use the same test fixture\n" << "class, so mixing TEST_F and TEST in the same test case is\n" << "illegal. In test case " << this_test_info->test_case_name() << ",\n" << "test " << TEST_F_name << " is defined using TEST_F but\n" << "test " << TEST_name << " is defined using TEST. You probably\n" << "want to change the TEST to TEST_F or move it to another test\n" << "case."; } else { // Two fixture classes with the same name appear in two different // namespaces, which is not allowed. Tell the user how to fix this. ADD_FAILURE() << "All tests in the same test case must use the same test fixture\n" << "class. However, in test case " << this_test_info->test_case_name() << ",\n" << "you defined test " << first_test_name << " and test " << this_test_name << "\n" << "using two different test fixture classes. This can happen if\n" << "the two classes are from different namespaces or translation\n" << "units and have the same name. You should probably rename one\n" << "of the classes to put the tests into different test cases."; } return false; } return true; } #if GTEST_HAS_SEH // Adds an "exception thrown" fatal failure to the current test. This // function returns its result via an output parameter pointer because VC++ // prohibits creation of objects with destructors on stack in functions // using __try (see error C2712). static std::string* FormatSehExceptionMessage(DWORD exception_code, const char* location) { Message message; message << "SEH exception with code 0x" << std::setbase(16) << exception_code << std::setbase(10) << " thrown in " << location << "."; return new std::string(message.GetString()); } #endif // GTEST_HAS_SEH namespace internal { #if GTEST_HAS_EXCEPTIONS // Adds an "exception thrown" fatal failure to the current test. static std::string FormatCxxExceptionMessage(const char* description, const char* location) { Message message; if (description != NULL) { message << "C++ exception with description \"" << description << "\""; } else { message << "Unknown C++ exception"; } message << " thrown in " << location << "."; return message.GetString(); } static std::string PrintTestPartResultToString( const TestPartResult& test_part_result); GoogleTestFailureException::GoogleTestFailureException( const TestPartResult& failure) : ::std::runtime_error(PrintTestPartResultToString(failure).c_str()) {} #endif // GTEST_HAS_EXCEPTIONS // We put these helper functions in the internal namespace as IBM's xlC // compiler rejects the code if they were declared static. // Runs the given method and handles SEH exceptions it throws, when // SEH is supported; returns the 0-value for type Result in case of an // SEH exception. (Microsoft compilers cannot handle SEH and C++ // exceptions in the same function. Therefore, we provide a separate // wrapper function for handling SEH exceptions.) template Result HandleSehExceptionsInMethodIfSupported( T* object, Result (T::*method)(), const char* location) { #if GTEST_HAS_SEH __try { return (object->*method)(); } __except (internal::UnitTestOptions::GTestShouldProcessSEH( // NOLINT GetExceptionCode())) { // We create the exception message on the heap because VC++ prohibits // creation of objects with destructors on stack in functions using __try // (see error C2712). std::string* exception_message = FormatSehExceptionMessage( GetExceptionCode(), location); internal::ReportFailureInUnknownLocation(TestPartResult::kFatalFailure, *exception_message); delete exception_message; return static_cast(0); } #else (void)location; return (object->*method)(); #endif // GTEST_HAS_SEH } // Runs the given method and catches and reports C++ and/or SEH-style // exceptions, if they are supported; returns the 0-value for type // Result in case of an SEH exception. template Result HandleExceptionsInMethodIfSupported( T* object, Result (T::*method)(), const char* location) { // NOTE: The user code can affect the way in which Google Test handles // exceptions by setting GTEST_FLAG(catch_exceptions), but only before // RUN_ALL_TESTS() starts. It is technically possible to check the flag // after the exception is caught and either report or re-throw the // exception based on the flag's value: // // try { // // Perform the test method. // } catch (...) { // if (GTEST_FLAG(catch_exceptions)) // // Report the exception as failure. // else // throw; // Re-throws the original exception. // } // // However, the purpose of this flag is to allow the program to drop into // the debugger when the exception is thrown. On most platforms, once the // control enters the catch block, the exception origin information is // lost and the debugger will stop the program at the point of the // re-throw in this function -- instead of at the point of the original // throw statement in the code under test. For this reason, we perform // the check early, sacrificing the ability to affect Google Test's // exception handling in the method where the exception is thrown. if (internal::GetUnitTestImpl()->catch_exceptions()) { #if GTEST_HAS_EXCEPTIONS try { return HandleSehExceptionsInMethodIfSupported(object, method, location); } catch (const internal::GoogleTestFailureException&) { // NOLINT // This exception type can only be thrown by a failed Google // Test assertion with the intention of letting another testing // framework catch it. Therefore we just re-throw it. throw; } catch (const std::exception& e) { // NOLINT internal::ReportFailureInUnknownLocation( TestPartResult::kFatalFailure, FormatCxxExceptionMessage(e.what(), location)); } catch (...) { // NOLINT internal::ReportFailureInUnknownLocation( TestPartResult::kFatalFailure, FormatCxxExceptionMessage(NULL, location)); } return static_cast(0); #else return HandleSehExceptionsInMethodIfSupported(object, method, location); #endif // GTEST_HAS_EXCEPTIONS } else { return (object->*method)(); } } } // namespace internal // Runs the test and updates the test result. void Test::Run() { if (!HasSameFixtureClass()) return; internal::UnitTestImpl* const impl = internal::GetUnitTestImpl(); impl->os_stack_trace_getter()->UponLeavingGTest(); internal::HandleExceptionsInMethodIfSupported(this, &Test::SetUp, "SetUp()"); // We will run the test only if SetUp() was successful. if (!HasFatalFailure()) { impl->os_stack_trace_getter()->UponLeavingGTest(); internal::HandleExceptionsInMethodIfSupported( this, &Test::TestBody, "the test body"); } // However, we want to clean up as much as possible. Hence we will // always call TearDown(), even if SetUp() or the test body has // failed. impl->os_stack_trace_getter()->UponLeavingGTest(); internal::HandleExceptionsInMethodIfSupported( this, &Test::TearDown, "TearDown()"); } // Returns true iff the current test has a fatal failure. bool Test::HasFatalFailure() { return internal::GetUnitTestImpl()->current_test_result()->HasFatalFailure(); } // Returns true iff the current test has a non-fatal failure. bool Test::HasNonfatalFailure() { return internal::GetUnitTestImpl()->current_test_result()-> HasNonfatalFailure(); } // class TestInfo // Constructs a TestInfo object. It assumes ownership of the test factory // object. TestInfo::TestInfo(const std::string& a_test_case_name, const std::string& a_name, const char* a_type_param, const char* a_value_param, internal::CodeLocation a_code_location, internal::TypeId fixture_class_id, internal::TestFactoryBase* factory) : test_case_name_(a_test_case_name), name_(a_name), type_param_(a_type_param ? new std::string(a_type_param) : NULL), value_param_(a_value_param ? new std::string(a_value_param) : NULL), location_(a_code_location), fixture_class_id_(fixture_class_id), should_run_(false), is_disabled_(false), matches_filter_(false), factory_(factory), result_() {} // Destructs a TestInfo object. TestInfo::~TestInfo() { delete factory_; } namespace internal { // Creates a new TestInfo object and registers it with Google Test; // returns the created object. // // Arguments: // // test_case_name: name of the test case // name: name of the test // type_param: the name of the test's type parameter, or NULL if // this is not a typed or a type-parameterized test. // value_param: text representation of the test's value parameter, // or NULL if this is not a value-parameterized test. // code_location: code location where the test is defined // fixture_class_id: ID of the test fixture class // set_up_tc: pointer to the function that sets up the test case // tear_down_tc: pointer to the function that tears down the test case // factory: pointer to the factory that creates a test object. // The newly created TestInfo instance will assume // ownership of the factory object. TestInfo* MakeAndRegisterTestInfo( const char* test_case_name, const char* name, const char* type_param, const char* value_param, CodeLocation code_location, TypeId fixture_class_id, SetUpTestCaseFunc set_up_tc, TearDownTestCaseFunc tear_down_tc, TestFactoryBase* factory) { TestInfo* const test_info = new TestInfo(test_case_name, name, type_param, value_param, code_location, fixture_class_id, factory); GetUnitTestImpl()->AddTestInfo(set_up_tc, tear_down_tc, test_info); return test_info; } #if GTEST_HAS_PARAM_TEST void ReportInvalidTestCaseType(const char* test_case_name, CodeLocation code_location) { Message errors; errors << "Attempted redefinition of test case " << test_case_name << ".\n" << "All tests in the same test case must use the same test fixture\n" << "class. However, in test case " << test_case_name << ", you tried\n" << "to define a test using a fixture class different from the one\n" << "used earlier. This can happen if the two fixture classes are\n" << "from different namespaces and have the same name. You should\n" << "probably rename one of the classes to put the tests into different\n" << "test cases."; fprintf(stderr, "%s %s", FormatFileLocation(code_location.file.c_str(), code_location.line).c_str(), errors.GetString().c_str()); } #endif // GTEST_HAS_PARAM_TEST } // namespace internal namespace { // A predicate that checks the test name of a TestInfo against a known // value. // // This is used for implementation of the TestCase class only. We put // it in the anonymous namespace to prevent polluting the outer // namespace. // // TestNameIs is copyable. class TestNameIs { public: // Constructor. // // TestNameIs has NO default constructor. explicit TestNameIs(const char* name) : name_(name) {} // Returns true iff the test name of test_info matches name_. bool operator()(const TestInfo * test_info) const { return test_info && test_info->name() == name_; } private: std::string name_; }; } // namespace namespace internal { // This method expands all parameterized tests registered with macros TEST_P // and INSTANTIATE_TEST_CASE_P into regular tests and registers those. // This will be done just once during the program runtime. void UnitTestImpl::RegisterParameterizedTests() { #if GTEST_HAS_PARAM_TEST if (!parameterized_tests_registered_) { parameterized_test_registry_.RegisterTests(); parameterized_tests_registered_ = true; } #endif } } // namespace internal // Creates the test object, runs it, records its result, and then // deletes it. void TestInfo::Run() { if (!should_run_) return; // Tells UnitTest where to store test result. internal::UnitTestImpl* const impl = internal::GetUnitTestImpl(); impl->set_current_test_info(this); TestEventListener* repeater = UnitTest::GetInstance()->listeners().repeater(); // Notifies the unit test event listeners that a test is about to start. repeater->OnTestStart(*this); const TimeInMillis start = internal::GetTimeInMillis(); impl->os_stack_trace_getter()->UponLeavingGTest(); // Creates the test object. Test* const test = internal::HandleExceptionsInMethodIfSupported( factory_, &internal::TestFactoryBase::CreateTest, "the test fixture's constructor"); // Runs the test only if the test object was created and its // constructor didn't generate a fatal failure. if ((test != NULL) && !Test::HasFatalFailure()) { // This doesn't throw as all user code that can throw are wrapped into // exception handling code. test->Run(); } // Deletes the test object. impl->os_stack_trace_getter()->UponLeavingGTest(); internal::HandleExceptionsInMethodIfSupported( test, &Test::DeleteSelf_, "the test fixture's destructor"); result_.set_elapsed_time(internal::GetTimeInMillis() - start); // Notifies the unit test event listener that a test has just finished. repeater->OnTestEnd(*this); // Tells UnitTest to stop associating assertion results to this // test. impl->set_current_test_info(NULL); } // class TestCase // Gets the number of successful tests in this test case. int TestCase::successful_test_count() const { return CountIf(test_info_list_, TestPassed); } // Gets the number of failed tests in this test case. int TestCase::failed_test_count() const { return CountIf(test_info_list_, TestFailed); } // Gets the number of disabled tests that will be reported in the XML report. int TestCase::reportable_disabled_test_count() const { return CountIf(test_info_list_, TestReportableDisabled); } // Gets the number of disabled tests in this test case. int TestCase::disabled_test_count() const { return CountIf(test_info_list_, TestDisabled); } // Gets the number of tests to be printed in the XML report. int TestCase::reportable_test_count() const { return CountIf(test_info_list_, TestReportable); } // Get the number of tests in this test case that should run. int TestCase::test_to_run_count() const { return CountIf(test_info_list_, ShouldRunTest); } // Gets the number of all tests. int TestCase::total_test_count() const { return static_cast(test_info_list_.size()); } // Creates a TestCase with the given name. // // Arguments: // // name: name of the test case // a_type_param: the name of the test case's type parameter, or NULL if // this is not a typed or a type-parameterized test case. // set_up_tc: pointer to the function that sets up the test case // tear_down_tc: pointer to the function that tears down the test case TestCase::TestCase(const char* a_name, const char* a_type_param, Test::SetUpTestCaseFunc set_up_tc, Test::TearDownTestCaseFunc tear_down_tc) : name_(a_name), type_param_(a_type_param ? new std::string(a_type_param) : NULL), set_up_tc_(set_up_tc), tear_down_tc_(tear_down_tc), should_run_(false), elapsed_time_(0) { } // Destructor of TestCase. TestCase::~TestCase() { // Deletes every Test in the collection. ForEach(test_info_list_, internal::Delete); } // Returns the i-th test among all the tests. i can range from 0 to // total_test_count() - 1. If i is not in that range, returns NULL. const TestInfo* TestCase::GetTestInfo(int i) const { const int index = GetElementOr(test_indices_, i, -1); return index < 0 ? NULL : test_info_list_[index]; } // Returns the i-th test among all the tests. i can range from 0 to // total_test_count() - 1. If i is not in that range, returns NULL. TestInfo* TestCase::GetMutableTestInfo(int i) { const int index = GetElementOr(test_indices_, i, -1); return index < 0 ? NULL : test_info_list_[index]; } // Adds a test to this test case. Will delete the test upon // destruction of the TestCase object. void TestCase::AddTestInfo(TestInfo * test_info) { test_info_list_.push_back(test_info); test_indices_.push_back(static_cast(test_indices_.size())); } // Runs every test in this TestCase. void TestCase::Run() { if (!should_run_) return; internal::UnitTestImpl* const impl = internal::GetUnitTestImpl(); impl->set_current_test_case(this); TestEventListener* repeater = UnitTest::GetInstance()->listeners().repeater(); repeater->OnTestCaseStart(*this); impl->os_stack_trace_getter()->UponLeavingGTest(); internal::HandleExceptionsInMethodIfSupported( this, &TestCase::RunSetUpTestCase, "SetUpTestCase()"); const internal::TimeInMillis start = internal::GetTimeInMillis(); for (int i = 0; i < total_test_count(); i++) { GetMutableTestInfo(i)->Run(); } elapsed_time_ = internal::GetTimeInMillis() - start; impl->os_stack_trace_getter()->UponLeavingGTest(); internal::HandleExceptionsInMethodIfSupported( this, &TestCase::RunTearDownTestCase, "TearDownTestCase()"); repeater->OnTestCaseEnd(*this); impl->set_current_test_case(NULL); } // Clears the results of all tests in this test case. void TestCase::ClearResult() { ad_hoc_test_result_.Clear(); ForEach(test_info_list_, TestInfo::ClearTestResult); } // Shuffles the tests in this test case. void TestCase::ShuffleTests(internal::Random* random) { Shuffle(random, &test_indices_); } // Restores the test order to before the first shuffle. void TestCase::UnshuffleTests() { for (size_t i = 0; i < test_indices_.size(); i++) { test_indices_[i] = static_cast(i); } } // Formats a countable noun. Depending on its quantity, either the // singular form or the plural form is used. e.g. // // FormatCountableNoun(1, "formula", "formuli") returns "1 formula". // FormatCountableNoun(5, "book", "books") returns "5 books". static std::string FormatCountableNoun(int count, const char * singular_form, const char * plural_form) { return internal::StreamableToString(count) + " " + (count == 1 ? singular_form : plural_form); } // Formats the count of tests. static std::string FormatTestCount(int test_count) { return FormatCountableNoun(test_count, "test", "tests"); } // Formats the count of test cases. static std::string FormatTestCaseCount(int test_case_count) { return FormatCountableNoun(test_case_count, "test case", "test cases"); } // Converts a TestPartResult::Type enum to human-friendly string // representation. Both kNonFatalFailure and kFatalFailure are translated // to "Failure", as the user usually doesn't care about the difference // between the two when viewing the test result. static const char * TestPartResultTypeToString(TestPartResult::Type type) { switch (type) { case TestPartResult::kSuccess: return "Success"; case TestPartResult::kNonFatalFailure: case TestPartResult::kFatalFailure: #ifdef _MSC_VER return "error: "; #else return "Failure\n"; #endif default: return "Unknown result type"; } } namespace internal { // Prints a TestPartResult to an std::string. static std::string PrintTestPartResultToString( const TestPartResult& test_part_result) { return (Message() << internal::FormatFileLocation(test_part_result.file_name(), test_part_result.line_number()) << " " << TestPartResultTypeToString(test_part_result.type()) << test_part_result.message()).GetString(); } // Prints a TestPartResult. static void PrintTestPartResult(const TestPartResult& test_part_result) { const std::string& result = PrintTestPartResultToString(test_part_result); printf("%s\n", result.c_str()); fflush(stdout); // If the test program runs in Visual Studio or a debugger, the // following statements add the test part result message to the Output // window such that the user can double-click on it to jump to the // corresponding source code location; otherwise they do nothing. #if GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_MOBILE // We don't call OutputDebugString*() on Windows Mobile, as printing // to stdout is done by OutputDebugString() there already - we don't // want the same message printed twice. ::OutputDebugStringA(result.c_str()); ::OutputDebugStringA("\n"); #endif } // class PrettyUnitTestResultPrinter enum GTestColor { COLOR_DEFAULT, COLOR_RED, COLOR_GREEN, COLOR_YELLOW }; #if GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_MOBILE && \ !GTEST_OS_WINDOWS_PHONE && !GTEST_OS_WINDOWS_RT // Returns the character attribute for the given color. WORD GetColorAttribute(GTestColor color) { switch (color) { case COLOR_RED: return FOREGROUND_RED; case COLOR_GREEN: return FOREGROUND_GREEN; case COLOR_YELLOW: return FOREGROUND_RED | FOREGROUND_GREEN; default: return 0; } } #else // Returns the ANSI color code for the given color. COLOR_DEFAULT is // an invalid input. const char* GetAnsiColorCode(GTestColor color) { switch (color) { case COLOR_RED: return "1"; case COLOR_GREEN: return "2"; case COLOR_YELLOW: return "3"; default: return NULL; }; } #endif // GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_MOBILE // Returns true iff Google Test should use colors in the output. bool ShouldUseColor(bool stdout_is_tty) { const char* const gtest_color = GTEST_FLAG(color).c_str(); if (String::CaseInsensitiveCStringEquals(gtest_color, "auto")) { #if GTEST_OS_WINDOWS // On Windows the TERM variable is usually not set, but the // console there does support colors. return stdout_is_tty; #else // On non-Windows platforms, we rely on the TERM variable. const char* const term = posix::GetEnv("TERM"); const bool term_supports_color = String::CStringEquals(term, "xterm") || String::CStringEquals(term, "xterm-color") || String::CStringEquals(term, "xterm-256color") || String::CStringEquals(term, "screen") || String::CStringEquals(term, "screen-256color") || String::CStringEquals(term, "tmux") || String::CStringEquals(term, "tmux-256color") || String::CStringEquals(term, "rxvt-unicode") || String::CStringEquals(term, "rxvt-unicode-256color") || String::CStringEquals(term, "linux") || String::CStringEquals(term, "cygwin"); return stdout_is_tty && term_supports_color; #endif // GTEST_OS_WINDOWS } return String::CaseInsensitiveCStringEquals(gtest_color, "yes") || String::CaseInsensitiveCStringEquals(gtest_color, "true") || String::CaseInsensitiveCStringEquals(gtest_color, "t") || String::CStringEquals(gtest_color, "1"); // We take "yes", "true", "t", and "1" as meaning "yes". If the // value is neither one of these nor "auto", we treat it as "no" to // be conservative. } // Helpers for printing colored strings to stdout. Note that on Windows, we // cannot simply emit special characters and have the terminal change colors. // This routine must actually emit the characters rather than return a string // that would be colored when printed, as can be done on Linux. void ColoredPrintf(GTestColor color, const char* fmt, ...) { va_list args; va_start(args, fmt); #if GTEST_OS_WINDOWS_MOBILE || GTEST_OS_SYMBIAN || GTEST_OS_ZOS || \ GTEST_OS_IOS || GTEST_OS_WINDOWS_PHONE || GTEST_OS_WINDOWS_RT const bool use_color = AlwaysFalse(); #else static const bool in_color_mode = ShouldUseColor(posix::IsATTY(posix::FileNo(stdout)) != 0); const bool use_color = in_color_mode && (color != COLOR_DEFAULT); #endif // GTEST_OS_WINDOWS_MOBILE || GTEST_OS_SYMBIAN || GTEST_OS_ZOS // The '!= 0' comparison is necessary to satisfy MSVC 7.1. if (!use_color) { vprintf(fmt, args); va_end(args); return; } #if GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_MOBILE && \ !GTEST_OS_WINDOWS_PHONE && !GTEST_OS_WINDOWS_RT const HANDLE stdout_handle = GetStdHandle(STD_OUTPUT_HANDLE); // Gets the current text color. CONSOLE_SCREEN_BUFFER_INFO buffer_info; GetConsoleScreenBufferInfo(stdout_handle, &buffer_info); const WORD old_color_attrs = buffer_info.wAttributes; // We need to flush the stream buffers into the console before each // SetConsoleTextAttribute call lest it affect the text that is already // printed but has not yet reached the console. fflush(stdout); SetConsoleTextAttribute(stdout_handle, GetColorAttribute(color) | FOREGROUND_INTENSITY); vprintf(fmt, args); fflush(stdout); // Restores the text color. SetConsoleTextAttribute(stdout_handle, old_color_attrs); #else printf("\033[0;3%sm", GetAnsiColorCode(color)); vprintf(fmt, args); printf("\033[m"); // Resets the terminal to default. #endif // GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_MOBILE va_end(args); } // Text printed in Google Test's text output and --gunit_list_tests // output to label the type parameter and value parameter for a test. static const char kTypeParamLabel[] = "TypeParam"; static const char kValueParamLabel[] = "GetParam()"; void PrintFullTestCommentIfPresent(const TestInfo& test_info) { const char* const type_param = test_info.type_param(); const char* const value_param = test_info.value_param(); if (type_param != NULL || value_param != NULL) { printf(", where "); if (type_param != NULL) { printf("%s = %s", kTypeParamLabel, type_param); if (value_param != NULL) printf(" and "); } if (value_param != NULL) { printf("%s = %s", kValueParamLabel, value_param); } } } // This class implements the TestEventListener interface. // // Class PrettyUnitTestResultPrinter is copyable. class PrettyUnitTestResultPrinter : public TestEventListener { public: PrettyUnitTestResultPrinter() {} static void PrintTestName(const char * test_case, const char * test) { printf("%s.%s", test_case, test); } // The following methods override what's in the TestEventListener class. virtual void OnTestProgramStart(const UnitTest& /*unit_test*/) {} virtual void OnTestIterationStart(const UnitTest& unit_test, int iteration); virtual void OnEnvironmentsSetUpStart(const UnitTest& unit_test); virtual void OnEnvironmentsSetUpEnd(const UnitTest& /*unit_test*/) {} virtual void OnTestCaseStart(const TestCase& test_case); virtual void OnTestStart(const TestInfo& test_info); virtual void OnTestPartResult(const TestPartResult& result); virtual void OnTestEnd(const TestInfo& test_info); virtual void OnTestCaseEnd(const TestCase& test_case); virtual void OnEnvironmentsTearDownStart(const UnitTest& unit_test); virtual void OnEnvironmentsTearDownEnd(const UnitTest& /*unit_test*/) {} virtual void OnTestIterationEnd(const UnitTest& unit_test, int iteration); virtual void OnTestProgramEnd(const UnitTest& /*unit_test*/) {} private: static void PrintFailedTests(const UnitTest& unit_test); }; // Fired before each iteration of tests starts. void PrettyUnitTestResultPrinter::OnTestIterationStart( const UnitTest& unit_test, int iteration) { if (GTEST_FLAG(repeat) != 1) printf("\nRepeating all tests (iteration %d) . . .\n\n", iteration + 1); const char* const filter = GTEST_FLAG(filter).c_str(); // Prints the filter if it's not *. This reminds the user that some // tests may be skipped. if (!String::CStringEquals(filter, kUniversalFilter)) { ColoredPrintf(COLOR_YELLOW, "Note: %s filter = %s\n", GTEST_NAME_, filter); } if (internal::ShouldShard(kTestTotalShards, kTestShardIndex, false)) { const Int32 shard_index = Int32FromEnvOrDie(kTestShardIndex, -1); ColoredPrintf(COLOR_YELLOW, "Note: This is test shard %d of %s.\n", static_cast(shard_index) + 1, internal::posix::GetEnv(kTestTotalShards)); } if (GTEST_FLAG(shuffle)) { ColoredPrintf(COLOR_YELLOW, "Note: Randomizing tests' orders with a seed of %d .\n", unit_test.random_seed()); } ColoredPrintf(COLOR_GREEN, "[==========] "); printf("Running %s from %s.\n", FormatTestCount(unit_test.test_to_run_count()).c_str(), FormatTestCaseCount(unit_test.test_case_to_run_count()).c_str()); fflush(stdout); } void PrettyUnitTestResultPrinter::OnEnvironmentsSetUpStart( const UnitTest& /*unit_test*/) { ColoredPrintf(COLOR_GREEN, "[----------] "); printf("Global test environment set-up.\n"); fflush(stdout); } void PrettyUnitTestResultPrinter::OnTestCaseStart(const TestCase& test_case) { const std::string counts = FormatCountableNoun(test_case.test_to_run_count(), "test", "tests"); ColoredPrintf(COLOR_GREEN, "[----------] "); printf("%s from %s", counts.c_str(), test_case.name()); if (test_case.type_param() == NULL) { printf("\n"); } else { printf(", where %s = %s\n", kTypeParamLabel, test_case.type_param()); } fflush(stdout); } void PrettyUnitTestResultPrinter::OnTestStart(const TestInfo& test_info) { ColoredPrintf(COLOR_GREEN, "[ RUN ] "); PrintTestName(test_info.test_case_name(), test_info.name()); printf("\n"); fflush(stdout); } // Called after an assertion failure. void PrettyUnitTestResultPrinter::OnTestPartResult( const TestPartResult& result) { // If the test part succeeded, we don't need to do anything. if (result.type() == TestPartResult::kSuccess) return; // Print failure message from the assertion (e.g. expected this and got that). PrintTestPartResult(result); fflush(stdout); } void PrettyUnitTestResultPrinter::OnTestEnd(const TestInfo& test_info) { if (test_info.result()->Passed()) { ColoredPrintf(COLOR_GREEN, "[ OK ] "); } else { ColoredPrintf(COLOR_RED, "[ FAILED ] "); } PrintTestName(test_info.test_case_name(), test_info.name()); if (test_info.result()->Failed()) PrintFullTestCommentIfPresent(test_info); if (GTEST_FLAG(print_time)) { printf(" (%s ms)\n", internal::StreamableToString( test_info.result()->elapsed_time()).c_str()); } else { printf("\n"); } fflush(stdout); } void PrettyUnitTestResultPrinter::OnTestCaseEnd(const TestCase& test_case) { if (!GTEST_FLAG(print_time)) return; const std::string counts = FormatCountableNoun(test_case.test_to_run_count(), "test", "tests"); ColoredPrintf(COLOR_GREEN, "[----------] "); printf("%s from %s (%s ms total)\n\n", counts.c_str(), test_case.name(), internal::StreamableToString(test_case.elapsed_time()).c_str()); fflush(stdout); } void PrettyUnitTestResultPrinter::OnEnvironmentsTearDownStart( const UnitTest& /*unit_test*/) { ColoredPrintf(COLOR_GREEN, "[----------] "); printf("Global test environment tear-down\n"); fflush(stdout); } // Internal helper for printing the list of failed tests. void PrettyUnitTestResultPrinter::PrintFailedTests(const UnitTest& unit_test) { const int failed_test_count = unit_test.failed_test_count(); if (failed_test_count == 0) { return; } for (int i = 0; i < unit_test.total_test_case_count(); ++i) { const TestCase& test_case = *unit_test.GetTestCase(i); if (!test_case.should_run() || (test_case.failed_test_count() == 0)) { continue; } for (int j = 0; j < test_case.total_test_count(); ++j) { const TestInfo& test_info = *test_case.GetTestInfo(j); if (!test_info.should_run() || test_info.result()->Passed()) { continue; } ColoredPrintf(COLOR_RED, "[ FAILED ] "); printf("%s.%s", test_case.name(), test_info.name()); PrintFullTestCommentIfPresent(test_info); printf("\n"); } } } void PrettyUnitTestResultPrinter::OnTestIterationEnd(const UnitTest& unit_test, int /*iteration*/) { ColoredPrintf(COLOR_GREEN, "[==========] "); printf("%s from %s ran.", FormatTestCount(unit_test.test_to_run_count()).c_str(), FormatTestCaseCount(unit_test.test_case_to_run_count()).c_str()); if (GTEST_FLAG(print_time)) { printf(" (%s ms total)", internal::StreamableToString(unit_test.elapsed_time()).c_str()); } printf("\n"); ColoredPrintf(COLOR_GREEN, "[ PASSED ] "); printf("%s.\n", FormatTestCount(unit_test.successful_test_count()).c_str()); int num_failures = unit_test.failed_test_count(); if (!unit_test.Passed()) { const int failed_test_count = unit_test.failed_test_count(); ColoredPrintf(COLOR_RED, "[ FAILED ] "); printf("%s, listed below:\n", FormatTestCount(failed_test_count).c_str()); PrintFailedTests(unit_test); printf("\n%2d FAILED %s\n", num_failures, num_failures == 1 ? "TEST" : "TESTS"); } int num_disabled = unit_test.reportable_disabled_test_count(); if (num_disabled && !GTEST_FLAG(also_run_disabled_tests)) { if (!num_failures) { printf("\n"); // Add a spacer if no FAILURE banner is displayed. } ColoredPrintf(COLOR_YELLOW, " YOU HAVE %d DISABLED %s\n\n", num_disabled, num_disabled == 1 ? "TEST" : "TESTS"); } // Ensure that Google Test output is printed before, e.g., heapchecker output. fflush(stdout); } // End PrettyUnitTestResultPrinter // class TestEventRepeater // // This class forwards events to other event listeners. class TestEventRepeater : public TestEventListener { public: TestEventRepeater() : forwarding_enabled_(true) {} virtual ~TestEventRepeater(); void Append(TestEventListener *listener); TestEventListener* Release(TestEventListener* listener); // Controls whether events will be forwarded to listeners_. Set to false // in death test child processes. bool forwarding_enabled() const { return forwarding_enabled_; } void set_forwarding_enabled(bool enable) { forwarding_enabled_ = enable; } virtual void OnTestProgramStart(const UnitTest& unit_test); virtual void OnTestIterationStart(const UnitTest& unit_test, int iteration); virtual void OnEnvironmentsSetUpStart(const UnitTest& unit_test); virtual void OnEnvironmentsSetUpEnd(const UnitTest& unit_test); virtual void OnTestCaseStart(const TestCase& test_case); virtual void OnTestStart(const TestInfo& test_info); virtual void OnTestPartResult(const TestPartResult& result); virtual void OnTestEnd(const TestInfo& test_info); virtual void OnTestCaseEnd(const TestCase& test_case); virtual void OnEnvironmentsTearDownStart(const UnitTest& unit_test); virtual void OnEnvironmentsTearDownEnd(const UnitTest& unit_test); virtual void OnTestIterationEnd(const UnitTest& unit_test, int iteration); virtual void OnTestProgramEnd(const UnitTest& unit_test); private: // Controls whether events will be forwarded to listeners_. Set to false // in death test child processes. bool forwarding_enabled_; // The list of listeners that receive events. std::vector listeners_; GTEST_DISALLOW_COPY_AND_ASSIGN_(TestEventRepeater); }; TestEventRepeater::~TestEventRepeater() { ForEach(listeners_, Delete); } void TestEventRepeater::Append(TestEventListener *listener) { listeners_.push_back(listener); } // TODO(vladl@google.com): Factor the search functionality into Vector::Find. TestEventListener* TestEventRepeater::Release(TestEventListener *listener) { for (size_t i = 0; i < listeners_.size(); ++i) { if (listeners_[i] == listener) { listeners_.erase(listeners_.begin() + i); return listener; } } return NULL; } // Since most methods are very similar, use macros to reduce boilerplate. // This defines a member that forwards the call to all listeners. #define GTEST_REPEATER_METHOD_(Name, Type) \ void TestEventRepeater::Name(const Type& parameter) { \ if (forwarding_enabled_) { \ for (size_t i = 0; i < listeners_.size(); i++) { \ listeners_[i]->Name(parameter); \ } \ } \ } // This defines a member that forwards the call to all listeners in reverse // order. #define GTEST_REVERSE_REPEATER_METHOD_(Name, Type) \ void TestEventRepeater::Name(const Type& parameter) { \ if (forwarding_enabled_) { \ for (int i = static_cast(listeners_.size()) - 1; i >= 0; i--) { \ listeners_[i]->Name(parameter); \ } \ } \ } GTEST_REPEATER_METHOD_(OnTestProgramStart, UnitTest) GTEST_REPEATER_METHOD_(OnEnvironmentsSetUpStart, UnitTest) GTEST_REPEATER_METHOD_(OnTestCaseStart, TestCase) GTEST_REPEATER_METHOD_(OnTestStart, TestInfo) GTEST_REPEATER_METHOD_(OnTestPartResult, TestPartResult) GTEST_REPEATER_METHOD_(OnEnvironmentsTearDownStart, UnitTest) GTEST_REVERSE_REPEATER_METHOD_(OnEnvironmentsSetUpEnd, UnitTest) GTEST_REVERSE_REPEATER_METHOD_(OnEnvironmentsTearDownEnd, UnitTest) GTEST_REVERSE_REPEATER_METHOD_(OnTestEnd, TestInfo) GTEST_REVERSE_REPEATER_METHOD_(OnTestCaseEnd, TestCase) GTEST_REVERSE_REPEATER_METHOD_(OnTestProgramEnd, UnitTest) #undef GTEST_REPEATER_METHOD_ #undef GTEST_REVERSE_REPEATER_METHOD_ void TestEventRepeater::OnTestIterationStart(const UnitTest& unit_test, int iteration) { if (forwarding_enabled_) { for (size_t i = 0; i < listeners_.size(); i++) { listeners_[i]->OnTestIterationStart(unit_test, iteration); } } } void TestEventRepeater::OnTestIterationEnd(const UnitTest& unit_test, int iteration) { if (forwarding_enabled_) { for (int i = static_cast(listeners_.size()) - 1; i >= 0; i--) { listeners_[i]->OnTestIterationEnd(unit_test, iteration); } } } // End TestEventRepeater // This class generates an XML output file. class XmlUnitTestResultPrinter : public EmptyTestEventListener { public: explicit XmlUnitTestResultPrinter(const char* output_file); virtual void OnTestIterationEnd(const UnitTest& unit_test, int iteration); private: // Is c a whitespace character that is normalized to a space character // when it appears in an XML attribute value? static bool IsNormalizableWhitespace(char c) { return c == 0x9 || c == 0xA || c == 0xD; } // May c appear in a well-formed XML document? static bool IsValidXmlCharacter(char c) { return IsNormalizableWhitespace(c) || c >= 0x20; } // Returns an XML-escaped copy of the input string str. If // is_attribute is true, the text is meant to appear as an attribute // value, and normalizable whitespace is preserved by replacing it // with character references. static std::string EscapeXml(const std::string& str, bool is_attribute); // Returns the given string with all characters invalid in XML removed. static std::string RemoveInvalidXmlCharacters(const std::string& str); // Convenience wrapper around EscapeXml when str is an attribute value. static std::string EscapeXmlAttribute(const std::string& str) { return EscapeXml(str, true); } // Convenience wrapper around EscapeXml when str is not an attribute value. static std::string EscapeXmlText(const char* str) { return EscapeXml(str, false); } // Verifies that the given attribute belongs to the given element and // streams the attribute as XML. static void OutputXmlAttribute(std::ostream* stream, const std::string& element_name, const std::string& name, const std::string& value); // Streams an XML CDATA section, escaping invalid CDATA sequences as needed. static void OutputXmlCDataSection(::std::ostream* stream, const char* data); // Streams an XML representation of a TestInfo object. static void OutputXmlTestInfo(::std::ostream* stream, const char* test_case_name, const TestInfo& test_info); // Prints an XML representation of a TestCase object static void PrintXmlTestCase(::std::ostream* stream, const TestCase& test_case); // Prints an XML summary of unit_test to output stream out. static void PrintXmlUnitTest(::std::ostream* stream, const UnitTest& unit_test); // Produces a string representing the test properties in a result as space // delimited XML attributes based on the property key="value" pairs. // When the std::string is not empty, it includes a space at the beginning, // to delimit this attribute from prior attributes. static std::string TestPropertiesAsXmlAttributes(const TestResult& result); // The output file. const std::string output_file_; GTEST_DISALLOW_COPY_AND_ASSIGN_(XmlUnitTestResultPrinter); }; // Creates a new XmlUnitTestResultPrinter. XmlUnitTestResultPrinter::XmlUnitTestResultPrinter(const char* output_file) : output_file_(output_file) { if (output_file_.c_str() == NULL || output_file_.empty()) { fprintf(stderr, "XML output file may not be null\n"); fflush(stderr); exit(EXIT_FAILURE); } } // Called after the unit test ends. void XmlUnitTestResultPrinter::OnTestIterationEnd(const UnitTest& unit_test, int /*iteration*/) { FILE* xmlout = NULL; FilePath output_file(output_file_); FilePath output_dir(output_file.RemoveFileName()); if (output_dir.CreateDirectoriesRecursively()) { xmlout = posix::FOpen(output_file_.c_str(), "w"); } if (xmlout == NULL) { // TODO(wan): report the reason of the failure. // // We don't do it for now as: // // 1. There is no urgent need for it. // 2. It's a bit involved to make the errno variable thread-safe on // all three operating systems (Linux, Windows, and Mac OS). // 3. To interpret the meaning of errno in a thread-safe way, // we need the strerror_r() function, which is not available on // Windows. fprintf(stderr, "Unable to open file \"%s\"\n", output_file_.c_str()); fflush(stderr); exit(EXIT_FAILURE); } std::stringstream stream; PrintXmlUnitTest(&stream, unit_test); fprintf(xmlout, "%s", StringStreamToString(&stream).c_str()); fclose(xmlout); } // Returns an XML-escaped copy of the input string str. If is_attribute // is true, the text is meant to appear as an attribute value, and // normalizable whitespace is preserved by replacing it with character // references. // // Invalid XML characters in str, if any, are stripped from the output. // It is expected that most, if not all, of the text processed by this // module will consist of ordinary English text. // If this module is ever modified to produce version 1.1 XML output, // most invalid characters can be retained using character references. // TODO(wan): It might be nice to have a minimally invasive, human-readable // escaping scheme for invalid characters, rather than dropping them. std::string XmlUnitTestResultPrinter::EscapeXml( const std::string& str, bool is_attribute) { Message m; for (size_t i = 0; i < str.size(); ++i) { const char ch = str[i]; switch (ch) { case '<': m << "<"; break; case '>': m << ">"; break; case '&': m << "&"; break; case '\'': if (is_attribute) m << "'"; else m << '\''; break; case '"': if (is_attribute) m << """; else m << '"'; break; default: if (IsValidXmlCharacter(ch)) { if (is_attribute && IsNormalizableWhitespace(ch)) m << "&#x" << String::FormatByte(static_cast(ch)) << ";"; else m << ch; } break; } } return m.GetString(); } // Returns the given string with all characters invalid in XML removed. // Currently invalid characters are dropped from the string. An // alternative is to replace them with certain characters such as . or ?. std::string XmlUnitTestResultPrinter::RemoveInvalidXmlCharacters( const std::string& str) { std::string output; output.reserve(str.size()); for (std::string::const_iterator it = str.begin(); it != str.end(); ++it) if (IsValidXmlCharacter(*it)) output.push_back(*it); return output; } // The following routines generate an XML representation of a UnitTest // object. // // This is how Google Test concepts map to the DTD: // // <-- corresponds to a UnitTest object // <-- corresponds to a TestCase object // <-- corresponds to a TestInfo object // ... // ... // ... // <-- individual assertion failures // // // // Formats the given time in milliseconds as seconds. std::string FormatTimeInMillisAsSeconds(TimeInMillis ms) { ::std::stringstream ss; ss << (static_cast(ms) * 1e-3); return ss.str(); } static bool PortableLocaltime(time_t seconds, struct tm* out) { #if defined(_MSC_VER) return localtime_s(out, &seconds) == 0; #elif defined(__MINGW32__) || defined(__MINGW64__) // MINGW provides neither localtime_r nor localtime_s, but uses // Windows' localtime(), which has a thread-local tm buffer. struct tm* tm_ptr = localtime(&seconds); // NOLINT if (tm_ptr == NULL) return false; *out = *tm_ptr; return true; #else return localtime_r(&seconds, out) != NULL; #endif } // Converts the given epoch time in milliseconds to a date string in the ISO // 8601 format, without the timezone information. std::string FormatEpochTimeInMillisAsIso8601(TimeInMillis ms) { struct tm time_struct; if (!PortableLocaltime(static_cast(ms / 1000), &time_struct)) return ""; // YYYY-MM-DDThh:mm:ss return StreamableToString(time_struct.tm_year + 1900) + "-" + String::FormatIntWidth2(time_struct.tm_mon + 1) + "-" + String::FormatIntWidth2(time_struct.tm_mday) + "T" + String::FormatIntWidth2(time_struct.tm_hour) + ":" + String::FormatIntWidth2(time_struct.tm_min) + ":" + String::FormatIntWidth2(time_struct.tm_sec); } // Streams an XML CDATA section, escaping invalid CDATA sequences as needed. void XmlUnitTestResultPrinter::OutputXmlCDataSection(::std::ostream* stream, const char* data) { const char* segment = data; *stream << ""); if (next_segment != NULL) { stream->write( segment, static_cast(next_segment - segment)); *stream << "]]>]]>"); } else { *stream << segment; break; } } *stream << "]]>"; } void XmlUnitTestResultPrinter::OutputXmlAttribute( std::ostream* stream, const std::string& element_name, const std::string& name, const std::string& value) { const std::vector& allowed_names = GetReservedAttributesForElement(element_name); GTEST_CHECK_(std::find(allowed_names.begin(), allowed_names.end(), name) != allowed_names.end()) << "Attribute " << name << " is not allowed for element <" << element_name << ">."; *stream << " " << name << "=\"" << EscapeXmlAttribute(value) << "\""; } // Prints an XML representation of a TestInfo object. // TODO(wan): There is also value in printing properties with the plain printer. void XmlUnitTestResultPrinter::OutputXmlTestInfo(::std::ostream* stream, const char* test_case_name, const TestInfo& test_info) { const TestResult& result = *test_info.result(); const std::string kTestcase = "testcase"; *stream << " \n"; } const string location = internal::FormatCompilerIndependentFileLocation( part.file_name(), part.line_number()); const string summary = location + "\n" + part.summary(); *stream << " "; const string detail = location + "\n" + part.message(); OutputXmlCDataSection(stream, RemoveInvalidXmlCharacters(detail).c_str()); *stream << "\n"; } } if (failures == 0) *stream << " />\n"; else *stream << " \n"; } // Prints an XML representation of a TestCase object void XmlUnitTestResultPrinter::PrintXmlTestCase(std::ostream* stream, const TestCase& test_case) { const std::string kTestsuite = "testsuite"; *stream << " <" << kTestsuite; OutputXmlAttribute(stream, kTestsuite, "name", test_case.name()); OutputXmlAttribute(stream, kTestsuite, "tests", StreamableToString(test_case.reportable_test_count())); OutputXmlAttribute(stream, kTestsuite, "failures", StreamableToString(test_case.failed_test_count())); OutputXmlAttribute( stream, kTestsuite, "disabled", StreamableToString(test_case.reportable_disabled_test_count())); OutputXmlAttribute(stream, kTestsuite, "errors", "0"); OutputXmlAttribute(stream, kTestsuite, "time", FormatTimeInMillisAsSeconds(test_case.elapsed_time())); *stream << TestPropertiesAsXmlAttributes(test_case.ad_hoc_test_result()) << ">\n"; for (int i = 0; i < test_case.total_test_count(); ++i) { if (test_case.GetTestInfo(i)->is_reportable()) OutputXmlTestInfo(stream, test_case.name(), *test_case.GetTestInfo(i)); } *stream << " \n"; } // Prints an XML summary of unit_test to output stream out. void XmlUnitTestResultPrinter::PrintXmlUnitTest(std::ostream* stream, const UnitTest& unit_test) { const std::string kTestsuites = "testsuites"; *stream << "\n"; *stream << "<" << kTestsuites; OutputXmlAttribute(stream, kTestsuites, "tests", StreamableToString(unit_test.reportable_test_count())); OutputXmlAttribute(stream, kTestsuites, "failures", StreamableToString(unit_test.failed_test_count())); OutputXmlAttribute( stream, kTestsuites, "disabled", StreamableToString(unit_test.reportable_disabled_test_count())); OutputXmlAttribute(stream, kTestsuites, "errors", "0"); OutputXmlAttribute( stream, kTestsuites, "timestamp", FormatEpochTimeInMillisAsIso8601(unit_test.start_timestamp())); OutputXmlAttribute(stream, kTestsuites, "time", FormatTimeInMillisAsSeconds(unit_test.elapsed_time())); if (GTEST_FLAG(shuffle)) { OutputXmlAttribute(stream, kTestsuites, "random_seed", StreamableToString(unit_test.random_seed())); } *stream << TestPropertiesAsXmlAttributes(unit_test.ad_hoc_test_result()); OutputXmlAttribute(stream, kTestsuites, "name", "AllTests"); *stream << ">\n"; for (int i = 0; i < unit_test.total_test_case_count(); ++i) { if (unit_test.GetTestCase(i)->reportable_test_count() > 0) PrintXmlTestCase(stream, *unit_test.GetTestCase(i)); } *stream << "\n"; } // Produces a string representing the test properties in a result as space // delimited XML attributes based on the property key="value" pairs. std::string XmlUnitTestResultPrinter::TestPropertiesAsXmlAttributes( const TestResult& result) { Message attributes; for (int i = 0; i < result.test_property_count(); ++i) { const TestProperty& property = result.GetTestProperty(i); attributes << " " << property.key() << "=" << "\"" << EscapeXmlAttribute(property.value()) << "\""; } return attributes.GetString(); } // End XmlUnitTestResultPrinter #if GTEST_CAN_STREAM_RESULTS_ // Checks if str contains '=', '&', '%' or '\n' characters. If yes, // replaces them by "%xx" where xx is their hexadecimal value. For // example, replaces "=" with "%3D". This algorithm is O(strlen(str)) // in both time and space -- important as the input str may contain an // arbitrarily long test failure message and stack trace. string StreamingListener::UrlEncode(const char* str) { string result; result.reserve(strlen(str) + 1); for (char ch = *str; ch != '\0'; ch = *++str) { switch (ch) { case '%': case '=': case '&': case '\n': result.append("%" + String::FormatByte(static_cast(ch))); break; default: result.push_back(ch); break; } } return result; } void StreamingListener::SocketWriter::MakeConnection() { GTEST_CHECK_(sockfd_ == -1) << "MakeConnection() can't be called when there is already a connection."; addrinfo hints; memset(&hints, 0, sizeof(hints)); hints.ai_family = AF_UNSPEC; // To allow both IPv4 and IPv6 addresses. hints.ai_socktype = SOCK_STREAM; addrinfo* servinfo = NULL; // Use the getaddrinfo() to get a linked list of IP addresses for // the given host name. const int error_num = getaddrinfo( host_name_.c_str(), port_num_.c_str(), &hints, &servinfo); if (error_num != 0) { GTEST_LOG_(WARNING) << "stream_result_to: getaddrinfo() failed: " << gai_strerror(error_num); } // Loop through all the results and connect to the first we can. for (addrinfo* cur_addr = servinfo; sockfd_ == -1 && cur_addr != NULL; cur_addr = cur_addr->ai_next) { sockfd_ = socket( cur_addr->ai_family, cur_addr->ai_socktype, cur_addr->ai_protocol); if (sockfd_ != -1) { // Connect the client socket to the server socket. if (connect(sockfd_, cur_addr->ai_addr, cur_addr->ai_addrlen) == -1) { close(sockfd_); sockfd_ = -1; } } } freeaddrinfo(servinfo); // all done with this structure if (sockfd_ == -1) { GTEST_LOG_(WARNING) << "stream_result_to: failed to connect to " << host_name_ << ":" << port_num_; } } // End of class Streaming Listener #endif // GTEST_CAN_STREAM_RESULTS__ // Class ScopedTrace // Pushes the given source file location and message onto a per-thread // trace stack maintained by Google Test. ScopedTrace::ScopedTrace(const char* file, int line, const Message& message) GTEST_LOCK_EXCLUDED_(&UnitTest::mutex_) { TraceInfo trace; trace.file = file; trace.line = line; trace.message = message.GetString(); UnitTest::GetInstance()->PushGTestTrace(trace); } // Pops the info pushed by the c'tor. ScopedTrace::~ScopedTrace() GTEST_LOCK_EXCLUDED_(&UnitTest::mutex_) { UnitTest::GetInstance()->PopGTestTrace(); } // class OsStackTraceGetter const char* const OsStackTraceGetterInterface::kElidedFramesMarker = "... " GTEST_NAME_ " internal frames ..."; string OsStackTraceGetter::CurrentStackTrace(int /*max_depth*/, int /*skip_count*/) { return ""; } void OsStackTraceGetter::UponLeavingGTest() {} // A helper class that creates the premature-exit file in its // constructor and deletes the file in its destructor. class ScopedPrematureExitFile { public: explicit ScopedPrematureExitFile(const char* premature_exit_filepath) : premature_exit_filepath_(premature_exit_filepath) { // If a path to the premature-exit file is specified... if (premature_exit_filepath != NULL && *premature_exit_filepath != '\0') { // create the file with a single "0" character in it. I/O // errors are ignored as there's nothing better we can do and we // don't want to fail the test because of this. FILE* pfile = posix::FOpen(premature_exit_filepath, "w"); fwrite("0", 1, 1, pfile); fclose(pfile); } } ~ScopedPrematureExitFile() { if (premature_exit_filepath_ != NULL && *premature_exit_filepath_ != '\0') { remove(premature_exit_filepath_); } } private: const char* const premature_exit_filepath_; GTEST_DISALLOW_COPY_AND_ASSIGN_(ScopedPrematureExitFile); }; } // namespace internal // class TestEventListeners TestEventListeners::TestEventListeners() : repeater_(new internal::TestEventRepeater()), default_result_printer_(NULL), default_xml_generator_(NULL) { } TestEventListeners::~TestEventListeners() { delete repeater_; } // Returns the standard listener responsible for the default console // output. Can be removed from the listeners list to shut down default // console output. Note that removing this object from the listener list // with Release transfers its ownership to the user. void TestEventListeners::Append(TestEventListener* listener) { repeater_->Append(listener); } // Removes the given event listener from the list and returns it. It then // becomes the caller's responsibility to delete the listener. Returns // NULL if the listener is not found in the list. TestEventListener* TestEventListeners::Release(TestEventListener* listener) { if (listener == default_result_printer_) default_result_printer_ = NULL; else if (listener == default_xml_generator_) default_xml_generator_ = NULL; return repeater_->Release(listener); } // Returns repeater that broadcasts the TestEventListener events to all // subscribers. TestEventListener* TestEventListeners::repeater() { return repeater_; } // Sets the default_result_printer attribute to the provided listener. // The listener is also added to the listener list and previous // default_result_printer is removed from it and deleted. The listener can // also be NULL in which case it will not be added to the list. Does // nothing if the previous and the current listener objects are the same. void TestEventListeners::SetDefaultResultPrinter(TestEventListener* listener) { if (default_result_printer_ != listener) { // It is an error to pass this method a listener that is already in the // list. delete Release(default_result_printer_); default_result_printer_ = listener; if (listener != NULL) Append(listener); } } // Sets the default_xml_generator attribute to the provided listener. The // listener is also added to the listener list and previous // default_xml_generator is removed from it and deleted. The listener can // also be NULL in which case it will not be added to the list. Does // nothing if the previous and the current listener objects are the same. void TestEventListeners::SetDefaultXmlGenerator(TestEventListener* listener) { if (default_xml_generator_ != listener) { // It is an error to pass this method a listener that is already in the // list. delete Release(default_xml_generator_); default_xml_generator_ = listener; if (listener != NULL) Append(listener); } } // Controls whether events will be forwarded by the repeater to the // listeners in the list. bool TestEventListeners::EventForwardingEnabled() const { return repeater_->forwarding_enabled(); } void TestEventListeners::SuppressEventForwarding() { repeater_->set_forwarding_enabled(false); } // class UnitTest // Gets the singleton UnitTest object. The first time this method is // called, a UnitTest object is constructed and returned. Consecutive // calls will return the same object. // // We don't protect this under mutex_ as a user is not supposed to // call this before main() starts, from which point on the return // value will never change. UnitTest* UnitTest::GetInstance() { // When compiled with MSVC 7.1 in optimized mode, destroying the // UnitTest object upon exiting the program messes up the exit code, // causing successful tests to appear failed. We have to use a // different implementation in this case to bypass the compiler bug. // This implementation makes the compiler happy, at the cost of // leaking the UnitTest object. // CodeGear C++Builder insists on a public destructor for the // default implementation. Use this implementation to keep good OO // design with private destructor. #if (_MSC_VER == 1310 && !defined(_DEBUG)) || defined(__BORLANDC__) static UnitTest* const instance = new UnitTest; return instance; #else static UnitTest instance; return &instance; #endif // (_MSC_VER == 1310 && !defined(_DEBUG)) || defined(__BORLANDC__) } // Gets the number of successful test cases. int UnitTest::successful_test_case_count() const { return impl()->successful_test_case_count(); } // Gets the number of failed test cases. int UnitTest::failed_test_case_count() const { return impl()->failed_test_case_count(); } // Gets the number of all test cases. int UnitTest::total_test_case_count() const { return impl()->total_test_case_count(); } // Gets the number of all test cases that contain at least one test // that should run. int UnitTest::test_case_to_run_count() const { return impl()->test_case_to_run_count(); } // Gets the number of successful tests. int UnitTest::successful_test_count() const { return impl()->successful_test_count(); } // Gets the number of failed tests. int UnitTest::failed_test_count() const { return impl()->failed_test_count(); } // Gets the number of disabled tests that will be reported in the XML report. int UnitTest::reportable_disabled_test_count() const { return impl()->reportable_disabled_test_count(); } // Gets the number of disabled tests. int UnitTest::disabled_test_count() const { return impl()->disabled_test_count(); } // Gets the number of tests to be printed in the XML report. int UnitTest::reportable_test_count() const { return impl()->reportable_test_count(); } // Gets the number of all tests. int UnitTest::total_test_count() const { return impl()->total_test_count(); } // Gets the number of tests that should run. int UnitTest::test_to_run_count() const { return impl()->test_to_run_count(); } // Gets the time of the test program start, in ms from the start of the // UNIX epoch. internal::TimeInMillis UnitTest::start_timestamp() const { return impl()->start_timestamp(); } // Gets the elapsed time, in milliseconds. internal::TimeInMillis UnitTest::elapsed_time() const { return impl()->elapsed_time(); } // Returns true iff the unit test passed (i.e. all test cases passed). bool UnitTest::Passed() const { return impl()->Passed(); } // Returns true iff the unit test failed (i.e. some test case failed // or something outside of all tests failed). bool UnitTest::Failed() const { return impl()->Failed(); } // Gets the i-th test case among all the test cases. i can range from 0 to // total_test_case_count() - 1. If i is not in that range, returns NULL. const TestCase* UnitTest::GetTestCase(int i) const { return impl()->GetTestCase(i); } // Returns the TestResult containing information on test failures and // properties logged outside of individual test cases. const TestResult& UnitTest::ad_hoc_test_result() const { return *impl()->ad_hoc_test_result(); } // Gets the i-th test case among all the test cases. i can range from 0 to // total_test_case_count() - 1. If i is not in that range, returns NULL. TestCase* UnitTest::GetMutableTestCase(int i) { return impl()->GetMutableTestCase(i); } // Returns the list of event listeners that can be used to track events // inside Google Test. TestEventListeners& UnitTest::listeners() { return *impl()->listeners(); } // Registers and returns a global test environment. When a test // program is run, all global test environments will be set-up in the // order they were registered. After all tests in the program have // finished, all global test environments will be torn-down in the // *reverse* order they were registered. // // The UnitTest object takes ownership of the given environment. // // We don't protect this under mutex_, as we only support calling it // from the main thread. Environment* UnitTest::AddEnvironment(Environment* env) { if (env == NULL) { return NULL; } impl_->environments().push_back(env); return env; } // Adds a TestPartResult to the current TestResult object. All Google Test // assertion macros (e.g. ASSERT_TRUE, EXPECT_EQ, etc) eventually call // this to report their results. The user code should use the // assertion macros instead of calling this directly. void UnitTest::AddTestPartResult( TestPartResult::Type result_type, const char* file_name, int line_number, const std::string& message, const std::string& os_stack_trace) GTEST_LOCK_EXCLUDED_(mutex_) { Message msg; msg << message; internal::MutexLock lock(&mutex_); if (impl_->gtest_trace_stack().size() > 0) { msg << "\n" << GTEST_NAME_ << " trace:"; for (int i = static_cast(impl_->gtest_trace_stack().size()); i > 0; --i) { const internal::TraceInfo& trace = impl_->gtest_trace_stack()[i - 1]; msg << "\n" << internal::FormatFileLocation(trace.file, trace.line) << " " << trace.message; } } if (os_stack_trace.c_str() != NULL && !os_stack_trace.empty()) { msg << internal::kStackTraceMarker << os_stack_trace; } const TestPartResult result = TestPartResult(result_type, file_name, line_number, msg.GetString().c_str()); impl_->GetTestPartResultReporterForCurrentThread()-> ReportTestPartResult(result); if (result_type != TestPartResult::kSuccess) { // gtest_break_on_failure takes precedence over // gtest_throw_on_failure. This allows a user to set the latter // in the code (perhaps in order to use Google Test assertions // with another testing framework) and specify the former on the // command line for debugging. if (GTEST_FLAG(break_on_failure)) { #if GTEST_OS_WINDOWS && !GTEST_OS_WINDOWS_PHONE && !GTEST_OS_WINDOWS_RT // Using DebugBreak on Windows allows gtest to still break into a debugger // when a failure happens and both the --gtest_break_on_failure and // the --gtest_catch_exceptions flags are specified. DebugBreak(); #else // Dereference NULL through a volatile pointer to prevent the compiler // from removing. We use this rather than abort() or __builtin_trap() for // portability: Symbian doesn't implement abort() well, and some debuggers // don't correctly trap abort(). *static_cast(NULL) = 1; #endif // GTEST_OS_WINDOWS } else if (GTEST_FLAG(throw_on_failure)) { #if GTEST_HAS_EXCEPTIONS throw internal::GoogleTestFailureException(result); #else // We cannot call abort() as it generates a pop-up in debug mode // that cannot be suppressed in VC 7.1 or below. exit(1); #endif } } } // Adds a TestProperty to the current TestResult object when invoked from // inside a test, to current TestCase's ad_hoc_test_result_ when invoked // from SetUpTestCase or TearDownTestCase, or to the global property set // when invoked elsewhere. If the result already contains a property with // the same key, the value will be updated. void UnitTest::RecordProperty(const std::string& key, const std::string& value) { impl_->RecordProperty(TestProperty(key, value)); } // Runs all tests in this UnitTest object and prints the result. // Returns 0 if successful, or 1 otherwise. // // We don't protect this under mutex_, as we only support calling it // from the main thread. int UnitTest::Run() { const bool in_death_test_child_process = internal::GTEST_FLAG(internal_run_death_test).length() > 0; // Google Test implements this protocol for catching that a test // program exits before returning control to Google Test: // // 1. Upon start, Google Test creates a file whose absolute path // is specified by the environment variable // TEST_PREMATURE_EXIT_FILE. // 2. When Google Test has finished its work, it deletes the file. // // This allows a test runner to set TEST_PREMATURE_EXIT_FILE before // running a Google-Test-based test program and check the existence // of the file at the end of the test execution to see if it has // exited prematurely. // If we are in the child process of a death test, don't // create/delete the premature exit file, as doing so is unnecessary // and will confuse the parent process. Otherwise, create/delete // the file upon entering/leaving this function. If the program // somehow exits before this function has a chance to return, the // premature-exit file will be left undeleted, causing a test runner // that understands the premature-exit-file protocol to report the // test as having failed. const internal::ScopedPrematureExitFile premature_exit_file( in_death_test_child_process ? NULL : internal::posix::GetEnv("TEST_PREMATURE_EXIT_FILE")); // Captures the value of GTEST_FLAG(catch_exceptions). This value will be // used for the duration of the program. impl()->set_catch_exceptions(GTEST_FLAG(catch_exceptions)); #if GTEST_HAS_SEH // Either the user wants Google Test to catch exceptions thrown by the // tests or this is executing in the context of death test child // process. In either case the user does not want to see pop-up dialogs // about crashes - they are expected. if (impl()->catch_exceptions() || in_death_test_child_process) { # if !GTEST_OS_WINDOWS_MOBILE && !GTEST_OS_WINDOWS_PHONE && !GTEST_OS_WINDOWS_RT // SetErrorMode doesn't exist on CE. SetErrorMode(SEM_FAILCRITICALERRORS | SEM_NOALIGNMENTFAULTEXCEPT | SEM_NOGPFAULTERRORBOX | SEM_NOOPENFILEERRORBOX); # endif // !GTEST_OS_WINDOWS_MOBILE # if (defined(_MSC_VER) || GTEST_OS_WINDOWS_MINGW) && !GTEST_OS_WINDOWS_MOBILE // Death test children can be terminated with _abort(). On Windows, // _abort() can show a dialog with a warning message. This forces the // abort message to go to stderr instead. _set_error_mode(_OUT_TO_STDERR); # endif # if _MSC_VER >= 1400 && !GTEST_OS_WINDOWS_MOBILE // In the debug version, Visual Studio pops up a separate dialog // offering a choice to debug the aborted program. We need to suppress // this dialog or it will pop up for every EXPECT/ASSERT_DEATH statement // executed. Google Test will notify the user of any unexpected // failure via stderr. // // VC++ doesn't define _set_abort_behavior() prior to the version 8.0. // Users of prior VC versions shall suffer the agony and pain of // clicking through the countless debug dialogs. // TODO(vladl@google.com): find a way to suppress the abort dialog() in the // debug mode when compiled with VC 7.1 or lower. if (!GTEST_FLAG(break_on_failure)) _set_abort_behavior( 0x0, // Clear the following flags: _WRITE_ABORT_MSG | _CALL_REPORTFAULT); // pop-up window, core dump. # endif } #endif // GTEST_HAS_SEH return internal::HandleExceptionsInMethodIfSupported( impl(), &internal::UnitTestImpl::RunAllTests, "auxiliary test code (environments or event listeners)") ? 0 : 1; } // Returns the working directory when the first TEST() or TEST_F() was // executed. const char* UnitTest::original_working_dir() const { return impl_->original_working_dir_.c_str(); } // Returns the TestCase object for the test that's currently running, // or NULL if no test is running. const TestCase* UnitTest::current_test_case() const GTEST_LOCK_EXCLUDED_(mutex_) { internal::MutexLock lock(&mutex_); return impl_->current_test_case(); } // Returns the TestInfo object for the test that's currently running, // or NULL if no test is running. const TestInfo* UnitTest::current_test_info() const GTEST_LOCK_EXCLUDED_(mutex_) { internal::MutexLock lock(&mutex_); return impl_->current_test_info(); } // Returns the random seed used at the start of the current test run. int UnitTest::random_seed() const { return impl_->random_seed(); } #if GTEST_HAS_PARAM_TEST // Returns ParameterizedTestCaseRegistry object used to keep track of // value-parameterized tests and instantiate and register them. internal::ParameterizedTestCaseRegistry& UnitTest::parameterized_test_registry() GTEST_LOCK_EXCLUDED_(mutex_) { return impl_->parameterized_test_registry(); } #endif // GTEST_HAS_PARAM_TEST // Creates an empty UnitTest. UnitTest::UnitTest() { impl_ = new internal::UnitTestImpl(this); } // Destructor of UnitTest. UnitTest::~UnitTest() { delete impl_; } // Pushes a trace defined by SCOPED_TRACE() on to the per-thread // Google Test trace stack. void UnitTest::PushGTestTrace(const internal::TraceInfo& trace) GTEST_LOCK_EXCLUDED_(mutex_) { internal::MutexLock lock(&mutex_); impl_->gtest_trace_stack().push_back(trace); } // Pops a trace from the per-thread Google Test trace stack. void UnitTest::PopGTestTrace() GTEST_LOCK_EXCLUDED_(mutex_) { internal::MutexLock lock(&mutex_); impl_->gtest_trace_stack().pop_back(); } namespace internal { UnitTestImpl::UnitTestImpl(UnitTest* parent) : parent_(parent), GTEST_DISABLE_MSC_WARNINGS_PUSH_(4355 /* using this in initializer */) default_global_test_part_result_reporter_(this), default_per_thread_test_part_result_reporter_(this), GTEST_DISABLE_MSC_WARNINGS_POP_() global_test_part_result_repoter_( &default_global_test_part_result_reporter_), per_thread_test_part_result_reporter_( &default_per_thread_test_part_result_reporter_), #if GTEST_HAS_PARAM_TEST parameterized_test_registry_(), parameterized_tests_registered_(false), #endif // GTEST_HAS_PARAM_TEST last_death_test_case_(-1), current_test_case_(NULL), current_test_info_(NULL), ad_hoc_test_result_(), os_stack_trace_getter_(NULL), post_flag_parse_init_performed_(false), random_seed_(0), // Will be overridden by the flag before first use. random_(0), // Will be reseeded before first use. start_timestamp_(0), elapsed_time_(0), #if GTEST_HAS_DEATH_TEST death_test_factory_(new DefaultDeathTestFactory), #endif // Will be overridden by the flag before first use. catch_exceptions_(false) { listeners()->SetDefaultResultPrinter(new PrettyUnitTestResultPrinter); } UnitTestImpl::~UnitTestImpl() { // Deletes every TestCase. ForEach(test_cases_, internal::Delete); // Deletes every Environment. ForEach(environments_, internal::Delete); delete os_stack_trace_getter_; } // Adds a TestProperty to the current TestResult object when invoked in a // context of a test, to current test case's ad_hoc_test_result when invoke // from SetUpTestCase/TearDownTestCase, or to the global property set // otherwise. If the result already contains a property with the same key, // the value will be updated. void UnitTestImpl::RecordProperty(const TestProperty& test_property) { std::string xml_element; TestResult* test_result; // TestResult appropriate for property recording. if (current_test_info_ != NULL) { xml_element = "testcase"; test_result = &(current_test_info_->result_); } else if (current_test_case_ != NULL) { xml_element = "testsuite"; test_result = &(current_test_case_->ad_hoc_test_result_); } else { xml_element = "testsuites"; test_result = &ad_hoc_test_result_; } test_result->RecordProperty(xml_element, test_property); } #if GTEST_HAS_DEATH_TEST // Disables event forwarding if the control is currently in a death test // subprocess. Must not be called before InitGoogleTest. void UnitTestImpl::SuppressTestEventsIfInSubprocess() { if (internal_run_death_test_flag_.get() != NULL) listeners()->SuppressEventForwarding(); } #endif // GTEST_HAS_DEATH_TEST // Initializes event listeners performing XML output as specified by // UnitTestOptions. Must not be called before InitGoogleTest. void UnitTestImpl::ConfigureXmlOutput() { const std::string& output_format = UnitTestOptions::GetOutputFormat(); if (output_format == "xml") { listeners()->SetDefaultXmlGenerator(new XmlUnitTestResultPrinter( UnitTestOptions::GetAbsolutePathToOutputFile().c_str())); } else if (output_format != "") { printf("WARNING: unrecognized output format \"%s\" ignored.\n", output_format.c_str()); fflush(stdout); } } #if GTEST_CAN_STREAM_RESULTS_ // Initializes event listeners for streaming test results in string form. // Must not be called before InitGoogleTest. void UnitTestImpl::ConfigureStreamingOutput() { const std::string& target = GTEST_FLAG(stream_result_to); if (!target.empty()) { const size_t pos = target.find(':'); if (pos != std::string::npos) { listeners()->Append(new StreamingListener(target.substr(0, pos), target.substr(pos+1))); } else { printf("WARNING: unrecognized streaming target \"%s\" ignored.\n", target.c_str()); fflush(stdout); } } } #endif // GTEST_CAN_STREAM_RESULTS_ // Performs initialization dependent upon flag values obtained in // ParseGoogleTestFlagsOnly. Is called from InitGoogleTest after the call to // ParseGoogleTestFlagsOnly. In case a user neglects to call InitGoogleTest // this function is also called from RunAllTests. Since this function can be // called more than once, it has to be idempotent. void UnitTestImpl::PostFlagParsingInit() { // Ensures that this function does not execute more than once. if (!post_flag_parse_init_performed_) { post_flag_parse_init_performed_ = true; #if defined(GTEST_CUSTOM_TEST_EVENT_LISTENER_) // Register to send notifications about key process state changes. listeners()->Append(new GTEST_CUSTOM_TEST_EVENT_LISTENER_()); #endif // defined(GTEST_CUSTOM_TEST_EVENT_LISTENER_) #if GTEST_HAS_DEATH_TEST InitDeathTestSubprocessControlInfo(); SuppressTestEventsIfInSubprocess(); #endif // GTEST_HAS_DEATH_TEST // Registers parameterized tests. This makes parameterized tests // available to the UnitTest reflection API without running // RUN_ALL_TESTS. RegisterParameterizedTests(); // Configures listeners for XML output. This makes it possible for users // to shut down the default XML output before invoking RUN_ALL_TESTS. ConfigureXmlOutput(); #if GTEST_CAN_STREAM_RESULTS_ // Configures listeners for streaming test results to the specified server. ConfigureStreamingOutput(); #endif // GTEST_CAN_STREAM_RESULTS_ } } // A predicate that checks the name of a TestCase against a known // value. // // This is used for implementation of the UnitTest class only. We put // it in the anonymous namespace to prevent polluting the outer // namespace. // // TestCaseNameIs is copyable. class TestCaseNameIs { public: // Constructor. explicit TestCaseNameIs(const std::string& name) : name_(name) {} // Returns true iff the name of test_case matches name_. bool operator()(const TestCase* test_case) const { return test_case != NULL && strcmp(test_case->name(), name_.c_str()) == 0; } private: std::string name_; }; // Finds and returns a TestCase with the given name. If one doesn't // exist, creates one and returns it. It's the CALLER'S // RESPONSIBILITY to ensure that this function is only called WHEN THE // TESTS ARE NOT SHUFFLED. // // Arguments: // // test_case_name: name of the test case // type_param: the name of the test case's type parameter, or NULL if // this is not a typed or a type-parameterized test case. // set_up_tc: pointer to the function that sets up the test case // tear_down_tc: pointer to the function that tears down the test case TestCase* UnitTestImpl::GetTestCase(const char* test_case_name, const char* type_param, Test::SetUpTestCaseFunc set_up_tc, Test::TearDownTestCaseFunc tear_down_tc) { // Can we find a TestCase with the given name? const std::vector::const_iterator test_case = std::find_if(test_cases_.begin(), test_cases_.end(), TestCaseNameIs(test_case_name)); if (test_case != test_cases_.end()) return *test_case; // No. Let's create one. TestCase* const new_test_case = new TestCase(test_case_name, type_param, set_up_tc, tear_down_tc); // Is this a death test case? if (internal::UnitTestOptions::MatchesFilter(test_case_name, kDeathTestCaseFilter)) { // Yes. Inserts the test case after the last death test case // defined so far. This only works when the test cases haven't // been shuffled. Otherwise we may end up running a death test // after a non-death test. ++last_death_test_case_; test_cases_.insert(test_cases_.begin() + last_death_test_case_, new_test_case); } else { // No. Appends to the end of the list. test_cases_.push_back(new_test_case); } test_case_indices_.push_back(static_cast(test_case_indices_.size())); return new_test_case; } // Helpers for setting up / tearing down the given environment. They // are for use in the ForEach() function. static void SetUpEnvironment(Environment* env) { env->SetUp(); } static void TearDownEnvironment(Environment* env) { env->TearDown(); } // Runs all tests in this UnitTest object, prints the result, and // returns true if all tests are successful. If any exception is // thrown during a test, the test is considered to be failed, but the // rest of the tests will still be run. // // When parameterized tests are enabled, it expands and registers // parameterized tests first in RegisterParameterizedTests(). // All other functions called from RunAllTests() may safely assume that // parameterized tests are ready to be counted and run. bool UnitTestImpl::RunAllTests() { // Makes sure InitGoogleTest() was called. if (!GTestIsInitialized()) { printf("%s", "\nThis test program did NOT call ::testing::InitGoogleTest " "before calling RUN_ALL_TESTS(). Please fix it.\n"); return false; } // Do not run any test if the --help flag was specified. if (g_help_flag) return true; // Repeats the call to the post-flag parsing initialization in case the // user didn't call InitGoogleTest. PostFlagParsingInit(); // Even if sharding is not on, test runners may want to use the // GTEST_SHARD_STATUS_FILE to query whether the test supports the sharding // protocol. internal::WriteToShardStatusFileIfNeeded(); // True iff we are in a subprocess for running a thread-safe-style // death test. bool in_subprocess_for_death_test = false; #if GTEST_HAS_DEATH_TEST in_subprocess_for_death_test = (internal_run_death_test_flag_.get() != NULL); # if defined(GTEST_EXTRA_DEATH_TEST_CHILD_SETUP_) if (in_subprocess_for_death_test) { GTEST_EXTRA_DEATH_TEST_CHILD_SETUP_(); } # endif // defined(GTEST_EXTRA_DEATH_TEST_CHILD_SETUP_) #endif // GTEST_HAS_DEATH_TEST const bool should_shard = ShouldShard(kTestTotalShards, kTestShardIndex, in_subprocess_for_death_test); // Compares the full test names with the filter to decide which // tests to run. const bool has_tests_to_run = FilterTests(should_shard ? HONOR_SHARDING_PROTOCOL : IGNORE_SHARDING_PROTOCOL) > 0; // Lists the tests and exits if the --gtest_list_tests flag was specified. if (GTEST_FLAG(list_tests)) { // This must be called *after* FilterTests() has been called. ListTestsMatchingFilter(); return true; } random_seed_ = GTEST_FLAG(shuffle) ? GetRandomSeedFromFlag(GTEST_FLAG(random_seed)) : 0; // True iff at least one test has failed. bool failed = false; TestEventListener* repeater = listeners()->repeater(); start_timestamp_ = GetTimeInMillis(); repeater->OnTestProgramStart(*parent_); // How many times to repeat the tests? We don't want to repeat them // when we are inside the subprocess of a death test. const int repeat = in_subprocess_for_death_test ? 1 : GTEST_FLAG(repeat); // Repeats forever if the repeat count is negative. const bool forever = repeat < 0; for (int i = 0; forever || i != repeat; i++) { // We want to preserve failures generated by ad-hoc test // assertions executed before RUN_ALL_TESTS(). ClearNonAdHocTestResult(); const TimeInMillis start = GetTimeInMillis(); // Shuffles test cases and tests if requested. if (has_tests_to_run && GTEST_FLAG(shuffle)) { random()->Reseed(random_seed_); // This should be done before calling OnTestIterationStart(), // such that a test event listener can see the actual test order // in the event. ShuffleTests(); } // Tells the unit test event listeners that the tests are about to start. repeater->OnTestIterationStart(*parent_, i); // Runs each test case if there is at least one test to run. if (has_tests_to_run) { // Sets up all environments beforehand. repeater->OnEnvironmentsSetUpStart(*parent_); ForEach(environments_, SetUpEnvironment); repeater->OnEnvironmentsSetUpEnd(*parent_); // Runs the tests only if there was no fatal failure during global // set-up. if (!Test::HasFatalFailure()) { for (int test_index = 0; test_index < total_test_case_count(); test_index++) { GetMutableTestCase(test_index)->Run(); } } // Tears down all environments in reverse order afterwards. repeater->OnEnvironmentsTearDownStart(*parent_); std::for_each(environments_.rbegin(), environments_.rend(), TearDownEnvironment); repeater->OnEnvironmentsTearDownEnd(*parent_); } elapsed_time_ = GetTimeInMillis() - start; // Tells the unit test event listener that the tests have just finished. repeater->OnTestIterationEnd(*parent_, i); // Gets the result and clears it. if (!Passed()) { failed = true; } // Restores the original test order after the iteration. This // allows the user to quickly repro a failure that happens in the // N-th iteration without repeating the first (N - 1) iterations. // This is not enclosed in "if (GTEST_FLAG(shuffle)) { ... }", in // case the user somehow changes the value of the flag somewhere // (it's always safe to unshuffle the tests). UnshuffleTests(); if (GTEST_FLAG(shuffle)) { // Picks a new random seed for each iteration. random_seed_ = GetNextRandomSeed(random_seed_); } } repeater->OnTestProgramEnd(*parent_); return !failed; } // Reads the GTEST_SHARD_STATUS_FILE environment variable, and creates the file // if the variable is present. If a file already exists at this location, this // function will write over it. If the variable is present, but the file cannot // be created, prints an error and exits. void WriteToShardStatusFileIfNeeded() { const char* const test_shard_file = posix::GetEnv(kTestShardStatusFile); if (test_shard_file != NULL) { FILE* const file = posix::FOpen(test_shard_file, "w"); if (file == NULL) { ColoredPrintf(COLOR_RED, "Could not write to the test shard status file \"%s\" " "specified by the %s environment variable.\n", test_shard_file, kTestShardStatusFile); fflush(stdout); exit(EXIT_FAILURE); } fclose(file); } } // Checks whether sharding is enabled by examining the relevant // environment variable values. If the variables are present, // but inconsistent (i.e., shard_index >= total_shards), prints // an error and exits. If in_subprocess_for_death_test, sharding is // disabled because it must only be applied to the original test // process. Otherwise, we could filter out death tests we intended to execute. bool ShouldShard(const char* total_shards_env, const char* shard_index_env, bool in_subprocess_for_death_test) { if (in_subprocess_for_death_test) { return false; } const Int32 total_shards = Int32FromEnvOrDie(total_shards_env, -1); const Int32 shard_index = Int32FromEnvOrDie(shard_index_env, -1); if (total_shards == -1 && shard_index == -1) { return false; } else if (total_shards == -1 && shard_index != -1) { const Message msg = Message() << "Invalid environment variables: you have " << kTestShardIndex << " = " << shard_index << ", but have left " << kTestTotalShards << " unset.\n"; ColoredPrintf(COLOR_RED, msg.GetString().c_str()); fflush(stdout); exit(EXIT_FAILURE); } else if (total_shards != -1 && shard_index == -1) { const Message msg = Message() << "Invalid environment variables: you have " << kTestTotalShards << " = " << total_shards << ", but have left " << kTestShardIndex << " unset.\n"; ColoredPrintf(COLOR_RED, msg.GetString().c_str()); fflush(stdout); exit(EXIT_FAILURE); } else if (shard_index < 0 || shard_index >= total_shards) { const Message msg = Message() << "Invalid environment variables: we require 0 <= " << kTestShardIndex << " < " << kTestTotalShards << ", but you have " << kTestShardIndex << "=" << shard_index << ", " << kTestTotalShards << "=" << total_shards << ".\n"; ColoredPrintf(COLOR_RED, msg.GetString().c_str()); fflush(stdout); exit(EXIT_FAILURE); } return total_shards > 1; } // Parses the environment variable var as an Int32. If it is unset, // returns default_val. If it is not an Int32, prints an error // and aborts. Int32 Int32FromEnvOrDie(const char* var, Int32 default_val) { const char* str_val = posix::GetEnv(var); if (str_val == NULL) { return default_val; } Int32 result; if (!ParseInt32(Message() << "The value of environment variable " << var, str_val, &result)) { exit(EXIT_FAILURE); } return result; } // Given the total number of shards, the shard index, and the test id, // returns true iff the test should be run on this shard. The test id is // some arbitrary but unique non-negative integer assigned to each test // method. Assumes that 0 <= shard_index < total_shards. bool ShouldRunTestOnShard(int total_shards, int shard_index, int test_id) { return (test_id % total_shards) == shard_index; } // Compares the name of each test with the user-specified filter to // decide whether the test should be run, then records the result in // each TestCase and TestInfo object. // If shard_tests == true, further filters tests based on sharding // variables in the environment - see // http://code.google.com/p/googletest/wiki/GoogleTestAdvancedGuide. // Returns the number of tests that should run. int UnitTestImpl::FilterTests(ReactionToSharding shard_tests) { const Int32 total_shards = shard_tests == HONOR_SHARDING_PROTOCOL ? Int32FromEnvOrDie(kTestTotalShards, -1) : -1; const Int32 shard_index = shard_tests == HONOR_SHARDING_PROTOCOL ? Int32FromEnvOrDie(kTestShardIndex, -1) : -1; // num_runnable_tests are the number of tests that will // run across all shards (i.e., match filter and are not disabled). // num_selected_tests are the number of tests to be run on // this shard. int num_runnable_tests = 0; int num_selected_tests = 0; for (size_t i = 0; i < test_cases_.size(); i++) { TestCase* const test_case = test_cases_[i]; const std::string &test_case_name = test_case->name(); test_case->set_should_run(false); for (size_t j = 0; j < test_case->test_info_list().size(); j++) { TestInfo* const test_info = test_case->test_info_list()[j]; const std::string test_name(test_info->name()); // A test is disabled if test case name or test name matches // kDisableTestFilter. const bool is_disabled = internal::UnitTestOptions::MatchesFilter(test_case_name, kDisableTestFilter) || internal::UnitTestOptions::MatchesFilter(test_name, kDisableTestFilter); test_info->is_disabled_ = is_disabled; const bool matches_filter = internal::UnitTestOptions::FilterMatchesTest(test_case_name, test_name); test_info->matches_filter_ = matches_filter; const bool is_runnable = (GTEST_FLAG(also_run_disabled_tests) || !is_disabled) && matches_filter; const bool is_selected = is_runnable && (shard_tests == IGNORE_SHARDING_PROTOCOL || ShouldRunTestOnShard(total_shards, shard_index, num_runnable_tests)); num_runnable_tests += is_runnable; num_selected_tests += is_selected; test_info->should_run_ = is_selected; test_case->set_should_run(test_case->should_run() || is_selected); } } return num_selected_tests; } // Prints the given C-string on a single line by replacing all '\n' // characters with string "\\n". If the output takes more than // max_length characters, only prints the first max_length characters // and "...". static void PrintOnOneLine(const char* str, int max_length) { if (str != NULL) { for (int i = 0; *str != '\0'; ++str) { if (i >= max_length) { printf("..."); break; } if (*str == '\n') { printf("\\n"); i += 2; } else { printf("%c", *str); ++i; } } } } // Prints the names of the tests matching the user-specified filter flag. void UnitTestImpl::ListTestsMatchingFilter() { // Print at most this many characters for each type/value parameter. const int kMaxParamLength = 250; for (size_t i = 0; i < test_cases_.size(); i++) { const TestCase* const test_case = test_cases_[i]; bool printed_test_case_name = false; for (size_t j = 0; j < test_case->test_info_list().size(); j++) { const TestInfo* const test_info = test_case->test_info_list()[j]; if (test_info->matches_filter_) { if (!printed_test_case_name) { printed_test_case_name = true; printf("%s.", test_case->name()); if (test_case->type_param() != NULL) { printf(" # %s = ", kTypeParamLabel); // We print the type parameter on a single line to make // the output easy to parse by a program. PrintOnOneLine(test_case->type_param(), kMaxParamLength); } printf("\n"); } printf(" %s", test_info->name()); if (test_info->value_param() != NULL) { printf(" # %s = ", kValueParamLabel); // We print the value parameter on a single line to make the // output easy to parse by a program. PrintOnOneLine(test_info->value_param(), kMaxParamLength); } printf("\n"); } } } fflush(stdout); } // Sets the OS stack trace getter. // // Does nothing if the input and the current OS stack trace getter are // the same; otherwise, deletes the old getter and makes the input the // current getter. void UnitTestImpl::set_os_stack_trace_getter( OsStackTraceGetterInterface* getter) { if (os_stack_trace_getter_ != getter) { delete os_stack_trace_getter_; os_stack_trace_getter_ = getter; } } // Returns the current OS stack trace getter if it is not NULL; // otherwise, creates an OsStackTraceGetter, makes it the current // getter, and returns it. OsStackTraceGetterInterface* UnitTestImpl::os_stack_trace_getter() { if (os_stack_trace_getter_ == NULL) { #ifdef GTEST_OS_STACK_TRACE_GETTER_ os_stack_trace_getter_ = new GTEST_OS_STACK_TRACE_GETTER_; #else os_stack_trace_getter_ = new OsStackTraceGetter; #endif // GTEST_OS_STACK_TRACE_GETTER_ } return os_stack_trace_getter_; } // Returns the TestResult for the test that's currently running, or // the TestResult for the ad hoc test if no test is running. TestResult* UnitTestImpl::current_test_result() { return current_test_info_ ? &(current_test_info_->result_) : &ad_hoc_test_result_; } // Shuffles all test cases, and the tests within each test case, // making sure that death tests are still run first. void UnitTestImpl::ShuffleTests() { // Shuffles the death test cases. ShuffleRange(random(), 0, last_death_test_case_ + 1, &test_case_indices_); // Shuffles the non-death test cases. ShuffleRange(random(), last_death_test_case_ + 1, static_cast(test_cases_.size()), &test_case_indices_); // Shuffles the tests inside each test case. for (size_t i = 0; i < test_cases_.size(); i++) { test_cases_[i]->ShuffleTests(random()); } } // Restores the test cases and tests to their order before the first shuffle. void UnitTestImpl::UnshuffleTests() { for (size_t i = 0; i < test_cases_.size(); i++) { // Unshuffles the tests in each test case. test_cases_[i]->UnshuffleTests(); // Resets the index of each test case. test_case_indices_[i] = static_cast(i); } } // Returns the current OS stack trace as an std::string. // // The maximum number of stack frames to be included is specified by // the gtest_stack_trace_depth flag. The skip_count parameter // specifies the number of top frames to be skipped, which doesn't // count against the number of frames to be included. // // For example, if Foo() calls Bar(), which in turn calls // GetCurrentOsStackTraceExceptTop(..., 1), Foo() will be included in // the trace but Bar() and GetCurrentOsStackTraceExceptTop() won't. std::string GetCurrentOsStackTraceExceptTop(UnitTest* /*unit_test*/, int skip_count) { // We pass skip_count + 1 to skip this wrapper function in addition // to what the user really wants to skip. return GetUnitTestImpl()->CurrentOsStackTraceExceptTop(skip_count + 1); } // Used by the GTEST_SUPPRESS_UNREACHABLE_CODE_WARNING_BELOW_ macro to // suppress unreachable code warnings. namespace { class ClassUniqueToAlwaysTrue {}; } bool IsTrue(bool condition) { return condition; } bool AlwaysTrue() { #if GTEST_HAS_EXCEPTIONS // This condition is always false so AlwaysTrue() never actually throws, // but it makes the compiler think that it may throw. if (IsTrue(false)) throw ClassUniqueToAlwaysTrue(); #endif // GTEST_HAS_EXCEPTIONS return true; } // If *pstr starts with the given prefix, modifies *pstr to be right // past the prefix and returns true; otherwise leaves *pstr unchanged // and returns false. None of pstr, *pstr, and prefix can be NULL. bool SkipPrefix(const char* prefix, const char** pstr) { const size_t prefix_len = strlen(prefix); if (strncmp(*pstr, prefix, prefix_len) == 0) { *pstr += prefix_len; return true; } return false; } // Parses a string as a command line flag. The string should have // the format "--flag=value". When def_optional is true, the "=value" // part can be omitted. // // Returns the value of the flag, or NULL if the parsing failed. const char* ParseFlagValue(const char* str, const char* flag, bool def_optional) { // str and flag must not be NULL. if (str == NULL || flag == NULL) return NULL; // The flag must start with "--" followed by GTEST_FLAG_PREFIX_. const std::string flag_str = std::string("--") + GTEST_FLAG_PREFIX_ + flag; const size_t flag_len = flag_str.length(); if (strncmp(str, flag_str.c_str(), flag_len) != 0) return NULL; // Skips the flag name. const char* flag_end = str + flag_len; // When def_optional is true, it's OK to not have a "=value" part. if (def_optional && (flag_end[0] == '\0')) { return flag_end; } // If def_optional is true and there are more characters after the // flag name, or if def_optional is false, there must be a '=' after // the flag name. if (flag_end[0] != '=') return NULL; // Returns the string after "=". return flag_end + 1; } // Parses a string for a bool flag, in the form of either // "--flag=value" or "--flag". // // In the former case, the value is taken as true as long as it does // not start with '0', 'f', or 'F'. // // In the latter case, the value is taken as true. // // On success, stores the value of the flag in *value, and returns // true. On failure, returns false without changing *value. bool ParseBoolFlag(const char* str, const char* flag, bool* value) { // Gets the value of the flag as a string. const char* const value_str = ParseFlagValue(str, flag, true); // Aborts if the parsing failed. if (value_str == NULL) return false; // Converts the string value to a bool. *value = !(*value_str == '0' || *value_str == 'f' || *value_str == 'F'); return true; } // Parses a string for an Int32 flag, in the form of // "--flag=value". // // On success, stores the value of the flag in *value, and returns // true. On failure, returns false without changing *value. bool ParseInt32Flag(const char* str, const char* flag, Int32* value) { // Gets the value of the flag as a string. const char* const value_str = ParseFlagValue(str, flag, false); // Aborts if the parsing failed. if (value_str == NULL) return false; // Sets *value to the value of the flag. return ParseInt32(Message() << "The value of flag --" << flag, value_str, value); } // Parses a string for a string flag, in the form of // "--flag=value". // // On success, stores the value of the flag in *value, and returns // true. On failure, returns false without changing *value. bool ParseStringFlag(const char* str, const char* flag, std::string* value) { // Gets the value of the flag as a string. const char* const value_str = ParseFlagValue(str, flag, false); // Aborts if the parsing failed. if (value_str == NULL) return false; // Sets *value to the value of the flag. *value = value_str; return true; } // Determines whether a string has a prefix that Google Test uses for its // flags, i.e., starts with GTEST_FLAG_PREFIX_ or GTEST_FLAG_PREFIX_DASH_. // If Google Test detects that a command line flag has its prefix but is not // recognized, it will print its help message. Flags starting with // GTEST_INTERNAL_PREFIX_ followed by "internal_" are considered Google Test // internal flags and do not trigger the help message. static bool HasGoogleTestFlagPrefix(const char* str) { return (SkipPrefix("--", &str) || SkipPrefix("-", &str) || SkipPrefix("/", &str)) && !SkipPrefix(GTEST_FLAG_PREFIX_ "internal_", &str) && (SkipPrefix(GTEST_FLAG_PREFIX_, &str) || SkipPrefix(GTEST_FLAG_PREFIX_DASH_, &str)); } // Prints a string containing code-encoded text. The following escape // sequences can be used in the string to control the text color: // // @@ prints a single '@' character. // @R changes the color to red. // @G changes the color to green. // @Y changes the color to yellow. // @D changes to the default terminal text color. // // TODO(wan@google.com): Write tests for this once we add stdout // capturing to Google Test. static void PrintColorEncoded(const char* str) { GTestColor color = COLOR_DEFAULT; // The current color. // Conceptually, we split the string into segments divided by escape // sequences. Then we print one segment at a time. At the end of // each iteration, the str pointer advances to the beginning of the // next segment. for (;;) { const char* p = strchr(str, '@'); if (p == NULL) { ColoredPrintf(color, "%s", str); return; } ColoredPrintf(color, "%s", std::string(str, p).c_str()); const char ch = p[1]; str = p + 2; if (ch == '@') { ColoredPrintf(color, "@"); } else if (ch == 'D') { color = COLOR_DEFAULT; } else if (ch == 'R') { color = COLOR_RED; } else if (ch == 'G') { color = COLOR_GREEN; } else if (ch == 'Y') { color = COLOR_YELLOW; } else { --str; } } } static const char kColorEncodedHelpMessage[] = "This program contains tests written using " GTEST_NAME_ ". You can use the\n" "following command line flags to control its behavior:\n" "\n" "Test Selection:\n" " @G--" GTEST_FLAG_PREFIX_ "list_tests@D\n" " List the names of all tests instead of running them. The name of\n" " TEST(Foo, Bar) is \"Foo.Bar\".\n" " @G--" GTEST_FLAG_PREFIX_ "filter=@YPOSTIVE_PATTERNS" "[@G-@YNEGATIVE_PATTERNS]@D\n" " Run only the tests whose name matches one of the positive patterns but\n" " none of the negative patterns. '?' matches any single character; '*'\n" " matches any substring; ':' separates two patterns.\n" " @G--" GTEST_FLAG_PREFIX_ "also_run_disabled_tests@D\n" " Run all disabled tests too.\n" "\n" "Test Execution:\n" " @G--" GTEST_FLAG_PREFIX_ "repeat=@Y[COUNT]@D\n" " Run the tests repeatedly; use a negative count to repeat forever.\n" " @G--" GTEST_FLAG_PREFIX_ "shuffle@D\n" " Randomize tests' orders on every iteration.\n" " @G--" GTEST_FLAG_PREFIX_ "random_seed=@Y[NUMBER]@D\n" " Random number seed to use for shuffling test orders (between 1 and\n" " 99999, or 0 to use a seed based on the current time).\n" "\n" "Test Output:\n" " @G--" GTEST_FLAG_PREFIX_ "color=@Y(@Gyes@Y|@Gno@Y|@Gauto@Y)@D\n" " Enable/disable colored output. The default is @Gauto@D.\n" " -@G-" GTEST_FLAG_PREFIX_ "print_time=0@D\n" " Don't print the elapsed time of each test.\n" " @G--" GTEST_FLAG_PREFIX_ "output=xml@Y[@G:@YDIRECTORY_PATH@G" GTEST_PATH_SEP_ "@Y|@G:@YFILE_PATH]@D\n" " Generate an XML report in the given directory or with the given file\n" " name. @YFILE_PATH@D defaults to @Gtest_details.xml@D.\n" #if GTEST_CAN_STREAM_RESULTS_ " @G--" GTEST_FLAG_PREFIX_ "stream_result_to=@YHOST@G:@YPORT@D\n" " Stream test results to the given server.\n" #endif // GTEST_CAN_STREAM_RESULTS_ "\n" "Assertion Behavior:\n" #if GTEST_HAS_DEATH_TEST && !GTEST_OS_WINDOWS " @G--" GTEST_FLAG_PREFIX_ "death_test_style=@Y(@Gfast@Y|@Gthreadsafe@Y)@D\n" " Set the default death test style.\n" #endif // GTEST_HAS_DEATH_TEST && !GTEST_OS_WINDOWS " @G--" GTEST_FLAG_PREFIX_ "break_on_failure@D\n" " Turn assertion failures into debugger break-points.\n" " @G--" GTEST_FLAG_PREFIX_ "throw_on_failure@D\n" " Turn assertion failures into C++ exceptions.\n" " @G--" GTEST_FLAG_PREFIX_ "catch_exceptions=0@D\n" " Do not report exceptions as test failures. Instead, allow them\n" " to crash the program or throw a pop-up (on Windows).\n" "\n" "Except for @G--" GTEST_FLAG_PREFIX_ "list_tests@D, you can alternatively set " "the corresponding\n" "environment variable of a flag (all letters in upper-case). For example, to\n" "disable colored text output, you can either specify @G--" GTEST_FLAG_PREFIX_ "color=no@D or set\n" "the @G" GTEST_FLAG_PREFIX_UPPER_ "COLOR@D environment variable to @Gno@D.\n" "\n" "For more information, please read the " GTEST_NAME_ " documentation at\n" "@G" GTEST_PROJECT_URL_ "@D. If you find a bug in " GTEST_NAME_ "\n" "(not one in your own code or tests), please report it to\n" "@G<" GTEST_DEV_EMAIL_ ">@D.\n"; bool ParseGoogleTestFlag(const char* const arg) { return ParseBoolFlag(arg, kAlsoRunDisabledTestsFlag, >EST_FLAG(also_run_disabled_tests)) || ParseBoolFlag(arg, kBreakOnFailureFlag, >EST_FLAG(break_on_failure)) || ParseBoolFlag(arg, kCatchExceptionsFlag, >EST_FLAG(catch_exceptions)) || ParseStringFlag(arg, kColorFlag, >EST_FLAG(color)) || ParseStringFlag(arg, kDeathTestStyleFlag, >EST_FLAG(death_test_style)) || ParseBoolFlag(arg, kDeathTestUseFork, >EST_FLAG(death_test_use_fork)) || ParseStringFlag(arg, kFilterFlag, >EST_FLAG(filter)) || ParseStringFlag(arg, kInternalRunDeathTestFlag, >EST_FLAG(internal_run_death_test)) || ParseBoolFlag(arg, kListTestsFlag, >EST_FLAG(list_tests)) || ParseStringFlag(arg, kOutputFlag, >EST_FLAG(output)) || ParseBoolFlag(arg, kPrintTimeFlag, >EST_FLAG(print_time)) || ParseInt32Flag(arg, kRandomSeedFlag, >EST_FLAG(random_seed)) || ParseInt32Flag(arg, kRepeatFlag, >EST_FLAG(repeat)) || ParseBoolFlag(arg, kShuffleFlag, >EST_FLAG(shuffle)) || ParseInt32Flag(arg, kStackTraceDepthFlag, >EST_FLAG(stack_trace_depth)) || ParseStringFlag(arg, kStreamResultToFlag, >EST_FLAG(stream_result_to)) || ParseBoolFlag(arg, kThrowOnFailureFlag, >EST_FLAG(throw_on_failure)); } #if GTEST_USE_OWN_FLAGFILE_FLAG_ void LoadFlagsFromFile(const std::string& path) { FILE* flagfile = posix::FOpen(path.c_str(), "r"); if (!flagfile) { fprintf(stderr, "Unable to open file \"%s\"\n", GTEST_FLAG(flagfile).c_str()); fflush(stderr); exit(EXIT_FAILURE); } std::string contents(ReadEntireFile(flagfile)); posix::FClose(flagfile); std::vector lines; SplitString(contents, '\n', &lines); for (size_t i = 0; i < lines.size(); ++i) { if (lines[i].empty()) continue; if (!ParseGoogleTestFlag(lines[i].c_str())) g_help_flag = true; } } #endif // GTEST_USE_OWN_FLAGFILE_FLAG_ // Parses the command line for Google Test flags, without initializing // other parts of Google Test. The type parameter CharType can be // instantiated to either char or wchar_t. template void ParseGoogleTestFlagsOnlyImpl(int* argc, CharType** argv) { for (int i = 1; i < *argc; i++) { const std::string arg_string = StreamableToString(argv[i]); const char* const arg = arg_string.c_str(); using internal::ParseBoolFlag; using internal::ParseInt32Flag; using internal::ParseStringFlag; bool remove_flag = false; if (ParseGoogleTestFlag(arg)) { remove_flag = true; #if GTEST_USE_OWN_FLAGFILE_FLAG_ } else if (ParseStringFlag(arg, kFlagfileFlag, >EST_FLAG(flagfile))) { LoadFlagsFromFile(GTEST_FLAG(flagfile)); remove_flag = true; #endif // GTEST_USE_OWN_FLAGFILE_FLAG_ } else if (arg_string == "--help" || arg_string == "-h" || arg_string == "-?" || arg_string == "/?" || HasGoogleTestFlagPrefix(arg)) { // Both help flag and unrecognized Google Test flags (excluding // internal ones) trigger help display. g_help_flag = true; } if (remove_flag) { // Shift the remainder of the argv list left by one. Note // that argv has (*argc + 1) elements, the last one always being // NULL. The following loop moves the trailing NULL element as // well. for (int j = i; j != *argc; j++) { argv[j] = argv[j + 1]; } // Decrements the argument count. (*argc)--; // We also need to decrement the iterator as we just removed // an element. i--; } } if (g_help_flag) { // We print the help here instead of in RUN_ALL_TESTS(), as the // latter may not be called at all if the user is using Google // Test with another testing framework. PrintColorEncoded(kColorEncodedHelpMessage); } } // Parses the command line for Google Test flags, without initializing // other parts of Google Test. void ParseGoogleTestFlagsOnly(int* argc, char** argv) { ParseGoogleTestFlagsOnlyImpl(argc, argv); } void ParseGoogleTestFlagsOnly(int* argc, wchar_t** argv) { ParseGoogleTestFlagsOnlyImpl(argc, argv); } // The internal implementation of InitGoogleTest(). // // The type parameter CharType can be instantiated to either char or // wchar_t. template void InitGoogleTestImpl(int* argc, CharType** argv) { // We don't want to run the initialization code twice. if (GTestIsInitialized()) return; if (*argc <= 0) return; g_argvs.clear(); for (int i = 0; i != *argc; i++) { g_argvs.push_back(StreamableToString(argv[i])); } ParseGoogleTestFlagsOnly(argc, argv); GetUnitTestImpl()->PostFlagParsingInit(); } } // namespace internal // Initializes Google Test. This must be called before calling // RUN_ALL_TESTS(). In particular, it parses a command line for the // flags that Google Test recognizes. Whenever a Google Test flag is // seen, it is removed from argv, and *argc is decremented. // // No value is returned. Instead, the Google Test flag variables are // updated. // // Calling the function for the second time has no user-visible effect. void InitGoogleTest(int* argc, char** argv) { #if defined(GTEST_CUSTOM_INIT_GOOGLE_TEST_FUNCTION_) GTEST_CUSTOM_INIT_GOOGLE_TEST_FUNCTION_(argc, argv); #else // defined(GTEST_CUSTOM_INIT_GOOGLE_TEST_FUNCTION_) internal::InitGoogleTestImpl(argc, argv); #endif // defined(GTEST_CUSTOM_INIT_GOOGLE_TEST_FUNCTION_) } // This overloaded version can be used in Windows programs compiled in // UNICODE mode. void InitGoogleTest(int* argc, wchar_t** argv) { #if defined(GTEST_CUSTOM_INIT_GOOGLE_TEST_FUNCTION_) GTEST_CUSTOM_INIT_GOOGLE_TEST_FUNCTION_(argc, argv); #else // defined(GTEST_CUSTOM_INIT_GOOGLE_TEST_FUNCTION_) internal::InitGoogleTestImpl(argc, argv); #endif // defined(GTEST_CUSTOM_INIT_GOOGLE_TEST_FUNCTION_) } } // namespace testing ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/external/googletest/src/gtest_main.cc0000644000175100017510000000334515112307767022653 0ustar00runnerrunner// Copyright 2006, Google Inc. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. #include #include "gtest/gtest.h" GTEST_API_ int main(int argc, char **argv) { printf("Running main() from gtest_main.cc\n"); testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); } ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6387658 mypy-1.19.0/mypyc/ir/0000755000175100017510000000000015112310012014003 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/ir/__init__.py0000644000175100017510000000000015112307767016131 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/ir/class_ir.py0000644000175100017510000005602415112307767016212 0ustar00runnerrunner"""Intermediate representation of classes.""" from __future__ import annotations from typing import NamedTuple from mypyc.common import PROPSET_PREFIX, JsonDict from mypyc.ir.func_ir import FuncDecl, FuncIR, FuncSignature, RuntimeArg from mypyc.ir.ops import DeserMaps, Value from mypyc.ir.rtypes import RInstance, RType, deserialize_type, object_rprimitive from mypyc.namegen import NameGenerator, exported_name # Some notes on the vtable layout: Each concrete class has a vtable # that contains function pointers for its methods. So that subclasses # may be efficiently used when their parent class is expected, the # layout of child vtables must be an extension of their base class's # vtable. # # This makes multiple inheritance tricky, since obviously we cannot be # an extension of multiple parent classes. We solve this by requiring # all but one parent to be "traits", which we can operate on in a # somewhat less efficient way. For each trait implemented by a class, # we generate a separate vtable for the methods in that trait. # We then store an array of (trait type, trait vtable) pointers alongside # a class's main vtable. When we want to call a trait method, we # (at runtime!) search the array of trait vtables to find the correct one, # then call through it. # Trait vtables additionally need entries for attribute getters and setters, # since they can't always be in the same location. # # To keep down the number of indirections necessary, we store the # array of trait vtables in the memory *before* the class vtable, and # search it backwards. (This is a trick we can only do once---there # are only two directions to store data in---but I don't think we'll # need it again.) # There are some tricks we could try in the future to store the trait # vtables inline in the trait table (which would cut down one indirection), # but this seems good enough for now. # # As an example: # Imagine that we have a class B that inherits from a concrete class A # and traits T1 and T2, and that A has methods foo() and # bar() and B overrides bar() with a more specific type. # Then B's vtable will look something like: # # T1 type object # ptr to B's T1 trait vtable # T2 type object # ptr to B's T2 trait vtable # -> | A.foo # | Glue function that converts between A.bar's type and B.bar # B.bar # B.baz # # The arrow points to the "start" of the vtable (what vtable pointers # point to) and the bars indicate which parts correspond to the parent # class A's vtable layout. # # Classes that allow interpreted code to subclass them also have a # "shadow vtable" that contains implementations that delegate to # making a pycall, so that overridden methods in interpreted children # will be called. (A better strategy could dynamically generate these # vtables based on which methods are overridden in the children.) # Descriptions of method and attribute entries in class vtables. # The 'cls' field is the class that the method/attr was defined in, # which might be a parent class. # The 'shadow_method', if present, contains the method that should be # placed in the class's shadow vtable (if it has one). class VTableMethod(NamedTuple): cls: "ClassIR" # noqa: UP037 name: str method: FuncIR shadow_method: FuncIR | None VTableEntries = list[VTableMethod] class ClassIR: """Intermediate representation of a class. This also describes the runtime structure of native instances. """ def __init__( self, name: str, module_name: str, is_trait: bool = False, is_generated: bool = False, is_abstract: bool = False, is_ext_class: bool = True, is_final_class: bool = False, ) -> None: self.name = name self.module_name = module_name self.is_trait = is_trait self.is_generated = is_generated self.is_abstract = is_abstract self.is_ext_class = is_ext_class self.is_final_class = is_final_class # An augmented class has additional methods separate from what mypyc generates. # Right now the only one is dataclasses. self.is_augmented = False # Does this inherit from a Python class? self.inherits_python = False # Do instances of this class have __dict__? self.has_dict = False # Do we allow interpreted subclasses? Derived from a mypyc_attr. self.allow_interpreted_subclasses = False # Does this class need getseters to be generated for its attributes? (getseters are also # added if is_generated is False) self.needs_getseters = False # Is this class declared as serializable (supports copy.copy # and pickle) using @mypyc_attr(serializable=True)? # # Additionally, any class with this attribute False but with # an __init__ that can be called without any arguments is # *implicitly serializable*. In this case __init__ will be # called during deserialization without arguments. If this is # True, we match Python semantics and __init__ won't be called # during deserialization. # # This impacts also all subclasses. Use is_serializable() to # also consider base classes. self._serializable = False # If this a subclass of some built-in python class, the name # of the object for that class. We currently only support this # in a few ad-hoc cases. self.builtin_base: str | None = None # Default empty constructor self.ctor = FuncDecl(name, None, module_name, FuncSignature([], RInstance(self))) # Declare setup method that allocates and initializes an object. type is the # type of the class being initialized, which could be another class if there # is an interpreted subclass. # TODO: Make it a regular method and generate its body in IR self.setup = FuncDecl( "__mypyc__" + name + "_setup", None, module_name, FuncSignature([RuntimeArg("type", object_rprimitive)], RInstance(self)), ) # Attributes defined in the class (not inherited) self.attributes: dict[str, RType] = {} # Deletable attributes self.deletable: list[str] = [] # We populate method_types with the signatures of every method before # we generate methods, and we rely on this information being present. self.method_decls: dict[str, FuncDecl] = {} # Map of methods that are actually present in an extension class self.methods: dict[str, FuncIR] = {} # Glue methods for boxing/unboxing when a class changes the type # while overriding a method. Maps from (parent class overridden, method) # to IR of glue method. self.glue_methods: dict[tuple[ClassIR, str], FuncIR] = {} # Properties are accessed like attributes, but have behavior like method calls. # They don't belong in the methods dictionary, since we don't want to expose them to # Python's method API. But we want to put them into our own vtable as methods, so that # they are properly handled and overridden. The property dictionary values are a tuple # containing a property getter and an optional property setter. self.properties: dict[str, tuple[FuncIR, FuncIR | None]] = {} # We generate these in prepare_class_def so that we have access to them when generating # other methods and properties that rely on these types. self.property_types: dict[str, RType] = {} self.vtable: dict[str, int] | None = None self.vtable_entries: VTableEntries = [] self.trait_vtables: dict[ClassIR, VTableEntries] = {} # N.B: base might not actually quite be the direct base. # It is the nearest concrete base, but we allow a trait in between. self.base: ClassIR | None = None self.traits: list[ClassIR] = [] # Supply a working mro for most generated classes. Real classes will need to # fix it up. self.mro: list[ClassIR] = [self] # base_mro is the chain of concrete (non-trait) ancestors self.base_mro: list[ClassIR] = [self] # Direct subclasses of this class (use subclasses() to also include non-direct ones) # None if separate compilation prevents this from working. # # Often it's better to use has_no_subclasses() or subclasses() instead. self.children: list[ClassIR] | None = [] # Instance attributes that are initialized in the class body. self.attrs_with_defaults: set[str] = set() # Attributes that are always initialized in __init__ or class body # (inferred in mypyc.analysis.attrdefined using interprocedural analysis). # These can never raise AttributeError when accessed. If an attribute # is *not* always initialized, we normally use the error value for # an undefined value. If the attribute byte has an overlapping error value # (the error_overlap attribute is true for the RType), we use a bitmap # to track if the attribute is defined instead (see bitmap_attrs). self._always_initialized_attrs: set[str] = set() # Attributes that are sometimes initialized in __init__ self._sometimes_initialized_attrs: set[str] = set() # If True, __init__ can make 'self' visible to unanalyzed/arbitrary code self.init_self_leak = False # Definedness of these attributes is backed by a bitmap. Index in the list # indicates the bit number. Includes inherited attributes. We need the # bitmap for types such as native ints (i64 etc.) that can't have a dedicated # error value that doesn't overlap a valid value. The bitmap is used if the # value of an attribute is the same as the error value. self.bitmap_attrs: list[str] = [] # If this is a generator environment class, what is the actual method for it self.env_user_function: FuncIR | None = None # If True, keep one freed, cleared instance available for immediate reuse to # speed up allocations. This helps if many objects are freed quickly, before # other instances of the same class are allocated. This is effectively a # per-type free "list" of up to length 1. self.reuse_freed_instance = False # Is this a class inheriting from enum.Enum? Such classes can be special-cased. self.is_enum = False def __repr__(self) -> str: return ( "ClassIR(" "name={self.name}, module_name={self.module_name}, " "is_trait={self.is_trait}, is_generated={self.is_generated}, " "is_abstract={self.is_abstract}, is_ext_class={self.is_ext_class}, " "is_final_class={self.is_final_class}" ")".format(self=self) ) @property def fullname(self) -> str: return f"{self.module_name}.{self.name}" def real_base(self) -> ClassIR | None: """Return the actual concrete base class, if there is one.""" if len(self.mro) > 1 and not self.mro[1].is_trait: return self.mro[1] return None def vtable_entry(self, name: str) -> int: assert self.vtable is not None, "vtable not computed yet" assert name in self.vtable, f"{self.name!r} has no attribute {name!r}" return self.vtable[name] def attr_details(self, name: str) -> tuple[RType, ClassIR]: for ir in self.mro: if name in ir.attributes: return ir.attributes[name], ir if name in ir.property_types: return ir.property_types[name], ir raise KeyError(f"{self.name!r} has no attribute {name!r}") def attr_type(self, name: str) -> RType: return self.attr_details(name)[0] def method_decl(self, name: str) -> FuncDecl: for ir in self.mro: if name in ir.method_decls: return ir.method_decls[name] raise KeyError(f"{self.name!r} has no attribute {name!r}") def method_sig(self, name: str) -> FuncSignature: return self.method_decl(name).sig def has_method(self, name: str) -> bool: try: self.method_decl(name) except KeyError: return False return True def is_method_final(self, name: str) -> bool: subs = self.subclasses() if subs is None: return self.is_final_class if self.has_method(name): method_decl = self.method_decl(name) for subc in subs: if subc.method_decl(name) != method_decl: return False return True else: return not any(subc.has_method(name) for subc in subs) def has_attr(self, name: str) -> bool: try: self.attr_type(name) except KeyError: return False return True def is_deletable(self, name: str) -> bool: return any(name in ir.deletable for ir in self.mro) def is_always_defined(self, name: str) -> bool: if self.is_deletable(name): return False return name in self._always_initialized_attrs def name_prefix(self, names: NameGenerator) -> str: return names.private_name(self.module_name, self.name) def struct_name(self, names: NameGenerator) -> str: return f"{exported_name(self.fullname)}Object" def get_method_and_class( self, name: str, *, prefer_method: bool = False ) -> tuple[FuncIR, ClassIR] | None: for ir in self.mro: if name in ir.methods: func_ir = ir.methods[name] if not prefer_method and func_ir.decl.implicit: # This is an implicit accessor, so there is also an attribute definition # which the caller prefers. This happens if an attribute overrides a # property. return None return func_ir, ir return None def get_method(self, name: str, *, prefer_method: bool = False) -> FuncIR | None: res = self.get_method_and_class(name, prefer_method=prefer_method) return res[0] if res else None def has_method_decl(self, name: str) -> bool: return any(name in ir.method_decls for ir in self.mro) def has_no_subclasses(self) -> bool: return self.children == [] and not self.allow_interpreted_subclasses def subclasses(self) -> set[ClassIR] | None: """Return all subclasses of this class, both direct and indirect. Return None if it is impossible to identify all subclasses, for example because we are performing separate compilation. """ if self.children is None or self.allow_interpreted_subclasses: return None result = set(self.children) for child in self.children: if child.children: child_subs = child.subclasses() if child_subs is None: return None result.update(child_subs) return result def concrete_subclasses(self) -> list[ClassIR] | None: """Return all concrete (i.e. non-trait and non-abstract) subclasses. Include both direct and indirect subclasses. Place classes with no children first. """ subs = self.subclasses() if subs is None: return None concrete = {c for c in subs if not (c.is_trait or c.is_abstract)} # We place classes with no children first because they are more likely # to appear in various isinstance() checks. We then sort leaves by name # to get stable order. return sorted(concrete, key=lambda c: (len(c.children or []), c.name)) def is_serializable(self) -> bool: return any(ci._serializable for ci in self.mro) def serialize(self) -> JsonDict: return { "name": self.name, "module_name": self.module_name, "is_trait": self.is_trait, "is_ext_class": self.is_ext_class, "is_abstract": self.is_abstract, "is_generated": self.is_generated, "is_augmented": self.is_augmented, "is_final_class": self.is_final_class, "inherits_python": self.inherits_python, "has_dict": self.has_dict, "allow_interpreted_subclasses": self.allow_interpreted_subclasses, "needs_getseters": self.needs_getseters, "_serializable": self._serializable, "builtin_base": self.builtin_base, "ctor": self.ctor.serialize(), # We serialize dicts as lists to ensure order is preserved "attributes": [(k, t.serialize()) for k, t in self.attributes.items()], # We try to serialize a name reference, but if the decl isn't in methods # then we can't be sure that will work so we serialize the whole decl. "method_decls": [ (k, d.id if k in self.methods else d.serialize()) for k, d in self.method_decls.items() ], # We serialize method fullnames out and put methods in a separate dict "methods": [(k, m.id) for k, m in self.methods.items()], "glue_methods": [ ((cir.fullname, k), m.id) for (cir, k), m in self.glue_methods.items() ], # We serialize properties and property_types separately out of an # abundance of caution about preserving dict ordering... "property_types": [(k, t.serialize()) for k, t in self.property_types.items()], "properties": list(self.properties), "vtable": self.vtable, "vtable_entries": serialize_vtable(self.vtable_entries), "trait_vtables": [ (cir.fullname, serialize_vtable(v)) for cir, v in self.trait_vtables.items() ], # References to class IRs are all just names "base": self.base.fullname if self.base else None, "traits": [cir.fullname for cir in self.traits], "mro": [cir.fullname for cir in self.mro], "base_mro": [cir.fullname for cir in self.base_mro], "children": ( [cir.fullname for cir in self.children] if self.children is not None else None ), "deletable": self.deletable, "attrs_with_defaults": sorted(self.attrs_with_defaults), "_always_initialized_attrs": sorted(self._always_initialized_attrs), "_sometimes_initialized_attrs": sorted(self._sometimes_initialized_attrs), "init_self_leak": self.init_self_leak, "env_user_function": self.env_user_function.id if self.env_user_function else None, "reuse_freed_instance": self.reuse_freed_instance, "is_enum": self.is_enum, } @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> ClassIR: fullname = data["module_name"] + "." + data["name"] assert fullname in ctx.classes, "Class %s not in deser class map" % fullname ir = ctx.classes[fullname] ir.is_trait = data["is_trait"] ir.is_generated = data["is_generated"] ir.is_abstract = data["is_abstract"] ir.is_ext_class = data["is_ext_class"] ir.is_augmented = data["is_augmented"] ir.is_final_class = data["is_final_class"] ir.inherits_python = data["inherits_python"] ir.has_dict = data["has_dict"] ir.allow_interpreted_subclasses = data["allow_interpreted_subclasses"] ir.needs_getseters = data["needs_getseters"] ir._serializable = data["_serializable"] ir.builtin_base = data["builtin_base"] ir.ctor = FuncDecl.deserialize(data["ctor"], ctx) ir.attributes = {k: deserialize_type(t, ctx) for k, t in data["attributes"]} ir.method_decls = { k: ctx.functions[v].decl if isinstance(v, str) else FuncDecl.deserialize(v, ctx) for k, v in data["method_decls"] } ir.methods = {k: ctx.functions[v] for k, v in data["methods"]} ir.glue_methods = { (ctx.classes[c], k): ctx.functions[v] for (c, k), v in data["glue_methods"] } ir.property_types = {k: deserialize_type(t, ctx) for k, t in data["property_types"]} ir.properties = { k: (ir.methods[k], ir.methods.get(PROPSET_PREFIX + k)) for k in data["properties"] } ir.vtable = data["vtable"] ir.vtable_entries = deserialize_vtable(data["vtable_entries"], ctx) ir.trait_vtables = { ctx.classes[k]: deserialize_vtable(v, ctx) for k, v in data["trait_vtables"] } base = data["base"] ir.base = ctx.classes[base] if base else None ir.traits = [ctx.classes[s] for s in data["traits"]] ir.mro = [ctx.classes[s] for s in data["mro"]] ir.base_mro = [ctx.classes[s] for s in data["base_mro"]] ir.children = data["children"] and [ctx.classes[s] for s in data["children"]] ir.deletable = data["deletable"] ir.attrs_with_defaults = set(data["attrs_with_defaults"]) ir._always_initialized_attrs = set(data["_always_initialized_attrs"]) ir._sometimes_initialized_attrs = set(data["_sometimes_initialized_attrs"]) ir.init_self_leak = data["init_self_leak"] ir.env_user_function = ( ctx.functions[data["env_user_function"]] if data["env_user_function"] else None ) ir.reuse_freed_instance = data["reuse_freed_instance"] ir.is_enum = data["is_enum"] return ir class NonExtClassInfo: """Information needed to construct a non-extension class (Python class). Includes the class dictionary, a tuple of base classes, the class annotations dictionary, and the metaclass. """ def __init__(self, dict: Value, bases: Value, anns: Value, metaclass: Value) -> None: self.dict = dict self.bases = bases self.anns = anns self.metaclass = metaclass def serialize_vtable_entry(entry: VTableMethod) -> JsonDict: return { ".class": "VTableMethod", "cls": entry.cls.fullname, "name": entry.name, "method": entry.method.decl.id, "shadow_method": entry.shadow_method.decl.id if entry.shadow_method else None, } def serialize_vtable(vtable: VTableEntries) -> list[JsonDict]: return [serialize_vtable_entry(v) for v in vtable] def deserialize_vtable_entry(data: JsonDict, ctx: DeserMaps) -> VTableMethod: if data[".class"] == "VTableMethod": return VTableMethod( ctx.classes[data["cls"]], data["name"], ctx.functions[data["method"]], ctx.functions[data["shadow_method"]] if data["shadow_method"] else None, ) assert False, "Bogus vtable .class: %s" % data[".class"] def deserialize_vtable(data: list[JsonDict], ctx: DeserMaps) -> VTableEntries: return [deserialize_vtable_entry(x, ctx) for x in data] def all_concrete_classes(class_ir: ClassIR) -> list[ClassIR] | None: """Return all concrete classes among the class itself and its subclasses.""" concrete = class_ir.concrete_subclasses() if concrete is None: return None if not (class_ir.is_abstract or class_ir.is_trait): concrete.append(class_ir) return concrete ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/ir/func_ir.py0000644000175100017510000003711015112307767016033 0ustar00runnerrunner"""Intermediate representation of functions.""" from __future__ import annotations import inspect from collections.abc import Sequence from typing import Final from mypy.nodes import ARG_POS, ArgKind, Block, FuncDef from mypyc.common import BITMAP_BITS, JsonDict, bitmap_name, get_id_from_name, short_id_from_name from mypyc.ir.ops import ( Assign, AssignMulti, BasicBlock, Box, ControlOp, DeserMaps, Float, Integer, LoadAddress, LoadLiteral, Register, TupleSet, Value, ) from mypyc.ir.rtypes import ( RType, bitmap_rprimitive, deserialize_type, is_bool_rprimitive, is_none_rprimitive, ) from mypyc.namegen import NameGenerator class RuntimeArg: """Description of a function argument in IR. Argument kind is one of ARG_* constants defined in mypy.nodes. """ def __init__( self, name: str, typ: RType, kind: ArgKind = ARG_POS, pos_only: bool = False ) -> None: self.name = name self.type = typ self.kind = kind self.pos_only = pos_only @property def optional(self) -> bool: return self.kind.is_optional() def __repr__(self) -> str: return "RuntimeArg(name={}, type={}, optional={!r}, pos_only={!r})".format( self.name, self.type, self.optional, self.pos_only ) def serialize(self) -> JsonDict: return { "name": self.name, "type": self.type.serialize(), "kind": int(self.kind.value), "pos_only": self.pos_only, } @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> RuntimeArg: return RuntimeArg( data["name"], deserialize_type(data["type"], ctx), ArgKind(data["kind"]), data["pos_only"], ) class FuncSignature: """Signature of a function in IR.""" # TODO: Track if method? def __init__(self, args: Sequence[RuntimeArg], ret_type: RType) -> None: self.args = tuple(args) self.ret_type = ret_type # Bitmap arguments are use to mark default values for arguments that # have types with overlapping error values. self.num_bitmap_args = num_bitmap_args(self.args) if self.num_bitmap_args: extra = [ RuntimeArg(bitmap_name(i), bitmap_rprimitive, pos_only=True) for i in range(self.num_bitmap_args) ] self.args = self.args + tuple(reversed(extra)) def real_args(self) -> tuple[RuntimeArg, ...]: """Return arguments without any synthetic bitmap arguments.""" if self.num_bitmap_args: return self.args[: -self.num_bitmap_args] return self.args def bound_sig(self) -> FuncSignature: if self.num_bitmap_args: return FuncSignature(self.args[1 : -self.num_bitmap_args], self.ret_type) else: return FuncSignature(self.args[1:], self.ret_type) def __repr__(self) -> str: return f"FuncSignature(args={self.args!r}, ret={self.ret_type!r})" def serialize(self) -> JsonDict: if self.num_bitmap_args: args = self.args[: -self.num_bitmap_args] else: args = self.args return {"args": [t.serialize() for t in args], "ret_type": self.ret_type.serialize()} @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> FuncSignature: return FuncSignature( [RuntimeArg.deserialize(arg, ctx) for arg in data["args"]], deserialize_type(data["ret_type"], ctx), ) def num_bitmap_args(args: tuple[RuntimeArg, ...]) -> int: n = 0 for arg in args: if arg.type.error_overlap and arg.kind.is_optional(): n += 1 return (n + (BITMAP_BITS - 1)) // BITMAP_BITS FUNC_NORMAL: Final = 0 FUNC_STATICMETHOD: Final = 1 FUNC_CLASSMETHOD: Final = 2 class FuncDecl: """Declaration of a function in IR (without body or implementation). A function can be a regular module-level function, a method, a static method, a class method, or a property getter/setter. """ def __init__( self, name: str, class_name: str | None, module_name: str, sig: FuncSignature, kind: int = FUNC_NORMAL, *, is_prop_setter: bool = False, is_prop_getter: bool = False, is_generator: bool = False, is_coroutine: bool = False, implicit: bool = False, internal: bool = False, ) -> None: self.name = name self.class_name = class_name self.module_name = module_name self.sig = sig self.kind = kind self.is_prop_setter = is_prop_setter self.is_prop_getter = is_prop_getter self.is_generator = is_generator self.is_coroutine = is_coroutine if class_name is None: self.bound_sig: FuncSignature | None = None else: if kind == FUNC_STATICMETHOD: self.bound_sig = sig else: self.bound_sig = sig.bound_sig() # If True, not present in the mypy AST and must be synthesized during irbuild # Currently only supported for property getters/setters self.implicit = implicit # If True, only direct C level calls are supported (no wrapper function) self.internal = internal # This is optional because this will be set to the line number when the corresponding # FuncIR is created self._line: int | None = None @property def line(self) -> int: assert self._line is not None return self._line @line.setter def line(self, line: int) -> None: self._line = line @property def id(self) -> str: assert self.line is not None return get_id_from_name(self.name, self.fullname, self.line) @staticmethod def compute_shortname(class_name: str | None, name: str) -> str: return class_name + "." + name if class_name else name @property def shortname(self) -> str: return FuncDecl.compute_shortname(self.class_name, self.name) @property def fullname(self) -> str: return self.module_name + "." + self.shortname def cname(self, names: NameGenerator) -> str: partial_name = short_id_from_name(self.name, self.shortname, self._line) return names.private_name(self.module_name, partial_name) def serialize(self) -> JsonDict: return { "name": self.name, "class_name": self.class_name, "module_name": self.module_name, "sig": self.sig.serialize(), "kind": self.kind, "is_prop_setter": self.is_prop_setter, "is_prop_getter": self.is_prop_getter, "is_generator": self.is_generator, "is_coroutine": self.is_coroutine, "implicit": self.implicit, "internal": self.internal, } # TODO: move this to FuncIR? @staticmethod def get_id_from_json(func_ir: JsonDict) -> str: """Get the id from the serialized FuncIR associated with this FuncDecl""" decl = func_ir["decl"] shortname = FuncDecl.compute_shortname(decl["class_name"], decl["name"]) fullname = decl["module_name"] + "." + shortname return get_id_from_name(decl["name"], fullname, func_ir["line"]) @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> FuncDecl: return FuncDecl( data["name"], data["class_name"], data["module_name"], FuncSignature.deserialize(data["sig"], ctx), data["kind"], is_prop_setter=data["is_prop_setter"], is_prop_getter=data["is_prop_getter"], is_generator=data["is_generator"], is_coroutine=data["is_coroutine"], implicit=data["implicit"], internal=data["internal"], ) class FuncIR: """Intermediate representation of a function with contextual information. Unlike FuncDecl, this includes the IR of the body (basic blocks). """ def __init__( self, decl: FuncDecl, arg_regs: list[Register], blocks: list[BasicBlock], line: int = -1, traceback_name: str | None = None, ) -> None: # Declaration of the function, including the signature self.decl = decl # Registers for all the arguments to the function self.arg_regs = arg_regs # Body of the function self.blocks = blocks self.decl.line = line # The name that should be displayed for tracebacks that # include this function. Function will be omitted from # tracebacks if None. self.traceback_name = traceback_name @property def line(self) -> int: return self.decl.line @property def args(self) -> Sequence[RuntimeArg]: return self.decl.sig.args @property def ret_type(self) -> RType: return self.decl.sig.ret_type @property def class_name(self) -> str | None: return self.decl.class_name @property def sig(self) -> FuncSignature: return self.decl.sig @property def name(self) -> str: return self.decl.name @property def fullname(self) -> str: return self.decl.fullname @property def id(self) -> str: return self.decl.id @property def internal(self) -> bool: return self.decl.internal def cname(self, names: NameGenerator) -> str: return self.decl.cname(names) def __repr__(self) -> str: if self.class_name: return f"" else: return f"" def serialize(self) -> JsonDict: # We don't include blocks in the serialized version return { "decl": self.decl.serialize(), "line": self.line, "traceback_name": self.traceback_name, } @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> FuncIR: return FuncIR( FuncDecl.deserialize(data["decl"], ctx), [], [], data["line"], data["traceback_name"] ) INVALID_FUNC_DEF: Final = FuncDef("", [], Block([])) def all_values(args: list[Register], blocks: list[BasicBlock]) -> list[Value]: """Return the set of all values that may be initialized in the blocks. This omits registers that are only read. """ values: list[Value] = list(args) seen_registers = set(args) for block in blocks: for op in block.ops: if not isinstance(op, ControlOp): if isinstance(op, (Assign, AssignMulti)): if op.dest not in seen_registers: values.append(op.dest) seen_registers.add(op.dest) elif op.is_void: continue else: # If we take the address of a register, it might get initialized. if ( isinstance(op, LoadAddress) and isinstance(op.src, Register) and op.src not in seen_registers ): values.append(op.src) seen_registers.add(op.src) values.append(op) return values def all_values_full(args: list[Register], blocks: list[BasicBlock]) -> list[Value]: """Return set of all values that are initialized or accessed.""" values: list[Value] = list(args) seen_registers = set(args) for block in blocks: for op in block.ops: for source in op.sources(): # Look for uninitialized registers that are accessed. Ignore # non-registers since we don't allow ops outside basic blocks. if isinstance(source, Register) and source not in seen_registers: values.append(source) seen_registers.add(source) if not isinstance(op, ControlOp): if isinstance(op, (Assign, AssignMulti)): if op.dest not in seen_registers: values.append(op.dest) seen_registers.add(op.dest) elif op.is_void: continue else: values.append(op) return values _ARG_KIND_TO_INSPECT: Final = { ArgKind.ARG_POS: inspect.Parameter.POSITIONAL_OR_KEYWORD, ArgKind.ARG_OPT: inspect.Parameter.POSITIONAL_OR_KEYWORD, ArgKind.ARG_STAR: inspect.Parameter.VAR_POSITIONAL, ArgKind.ARG_NAMED: inspect.Parameter.KEYWORD_ONLY, ArgKind.ARG_STAR2: inspect.Parameter.VAR_KEYWORD, ArgKind.ARG_NAMED_OPT: inspect.Parameter.KEYWORD_ONLY, } # Sentinel indicating a value that cannot be represented in a text signature. _NOT_REPRESENTABLE = object() def get_text_signature(fn: FuncIR, *, bound: bool = False) -> str | None: """Return a text signature in CPython's internal doc format, or None if the function's signature cannot be represented. """ parameters = [] mark_self = (fn.class_name is not None) and (fn.decl.kind != FUNC_STATICMETHOD) and not bound sig = fn.decl.bound_sig if bound and fn.decl.bound_sig is not None else fn.decl.sig # Pre-scan for end of positional-only parameters. # This is needed to handle signatures like 'def foo(self, __x)', where mypy # currently sees 'self' as being positional-or-keyword and '__x' as positional-only. pos_only_idx = -1 for idx, arg in enumerate(sig.args): if arg.pos_only and arg.kind in (ArgKind.ARG_POS, ArgKind.ARG_OPT): pos_only_idx = idx for idx, arg in enumerate(sig.args): if arg.name.startswith(("__bitmap", "__mypyc")): continue kind = ( inspect.Parameter.POSITIONAL_ONLY if idx <= pos_only_idx else _ARG_KIND_TO_INSPECT[arg.kind] ) default: object = inspect.Parameter.empty if arg.optional: default = _find_default_argument(arg.name, fn.blocks) if default is _NOT_REPRESENTABLE: # This default argument cannot be represented in a __text_signature__ return None curr_param = inspect.Parameter(arg.name, kind, default=default) parameters.append(curr_param) if mark_self: # Parameter.__init__/Parameter.replace do not accept $ curr_param._name = f"${arg.name}" # type: ignore[attr-defined] mark_self = False return f"{fn.name}{inspect.Signature(parameters)}" def _find_default_argument(name: str, blocks: list[BasicBlock]) -> object: # Find assignment inserted by gen_arg_defaults. Assumed to be the first assignment. for block in blocks: for op in block.ops: if isinstance(op, Assign) and op.dest.name == name: return _extract_python_literal(op.src) return _NOT_REPRESENTABLE def _extract_python_literal(value: Value) -> object: if isinstance(value, Integer): if is_none_rprimitive(value.type): return None val = value.numeric_value() if is_bool_rprimitive(value.type): return bool(val) return val elif isinstance(value, Float): return value.value elif isinstance(value, LoadLiteral): return value.value elif isinstance(value, Box): return _extract_python_literal(value.src) elif isinstance(value, TupleSet): items = tuple(_extract_python_literal(item) for item in value.items) if any(itm is _NOT_REPRESENTABLE for itm in items): return _NOT_REPRESENTABLE return items return _NOT_REPRESENTABLE ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/ir/module_ir.py0000644000175100017510000000720515112307767016367 0ustar00runnerrunner"""Intermediate representation of modules.""" from __future__ import annotations from mypyc.common import JsonDict from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncDecl, FuncIR from mypyc.ir.ops import DeserMaps from mypyc.ir.rtypes import RType, deserialize_type class ModuleIR: """Intermediate representation of a module.""" def __init__( self, fullname: str, imports: list[str], functions: list[FuncIR], classes: list[ClassIR], final_names: list[tuple[str, RType]], type_var_names: list[str], ) -> None: self.fullname = fullname self.imports = imports.copy() self.functions = functions self.classes = classes self.final_names = final_names # Names of C statics used for Python 3.12 type variable objects. # These are only visible in the module that defined them, so no need # to serialize. self.type_var_names = type_var_names # Capsules needed by the module, specified via module names such as "librt.base64" self.capsules: set[str] = set() def serialize(self) -> JsonDict: return { "fullname": self.fullname, "imports": self.imports, "functions": [f.serialize() for f in self.functions], "classes": [c.serialize() for c in self.classes], "final_names": [(k, t.serialize()) for k, t in self.final_names], "capsules": sorted(self.capsules), } @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> ModuleIR: module = ModuleIR( data["fullname"], data["imports"], [ctx.functions[FuncDecl.get_id_from_json(f)] for f in data["functions"]], [ClassIR.deserialize(c, ctx) for c in data["classes"]], [(k, deserialize_type(t, ctx)) for k, t in data["final_names"]], [], ) module.capsules = set(data["capsules"]) return module def deserialize_modules(data: dict[str, JsonDict], ctx: DeserMaps) -> dict[str, ModuleIR]: """Deserialize a collection of modules. The modules can contain dependencies on each other. Arguments: data: A dict containing the modules to deserialize. ctx: The deserialization maps to use and to populate. They are populated with information from the deserialized modules and as a precondition must have been populated by deserializing any dependencies of the modules being deserialized (outside of dependencies between the modules themselves). Returns a map containing the deserialized modules. """ for mod in data.values(): # First create ClassIRs for every class so that we can construct types and whatnot for cls in mod["classes"]: ir = ClassIR(cls["name"], cls["module_name"]) assert ir.fullname not in ctx.classes, "Class %s already in map" % ir.fullname ctx.classes[ir.fullname] = ir for mod in data.values(): # Then deserialize all of the functions so that methods are available # to the class deserialization. for method in mod["functions"]: func = FuncIR.deserialize(method, ctx) assert func.decl.id not in ctx.functions, ( "Method %s already in map" % func.decl.fullname ) ctx.functions[func.decl.id] = func return {k: ModuleIR.deserialize(v, ctx) for k, v in data.items()} # ModulesIRs should also always be an *OrderedDict*, but if we # declared it that way we would need to put it in quotes everywhere... ModuleIRs = dict[str, ModuleIR] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/ir/ops.py0000644000175100017510000016523115112307767015215 0ustar00runnerrunner"""Low-level opcodes for compiler intermediate representation (IR). Opcodes operate on abstract values (Value) in a register machine. Each value has a type (RType). A value can hold various things, such as: - local variables or temporaries (Register) - intermediate values of expressions (RegisterOp subclasses) - condition flags (true/false) - literals (integer literals, True, False, etc.) NOTE: As a convention, we don't create subclasses of concrete Value/Op subclasses (e.g. you shouldn't define a subclass of Integer, which is a concrete class). If you want to introduce a variant of an existing class, you'd typically add an attribute (e.g. a flag) to an existing concrete class to enable the new behavior. Sometimes adding a new abstract base class is also an option, or just creating a new subclass without any inheritance relationship (some duplication of code is preferred over introducing complex implementation inheritance). This makes it possible to use isinstance(x, ) checks without worrying about potential subclasses. """ from __future__ import annotations from abc import abstractmethod from collections.abc import Sequence from typing import TYPE_CHECKING, Final, Generic, NamedTuple, TypeVar, Union, final from mypy_extensions import trait from mypyc.ir.rtypes import ( RArray, RInstance, RStruct, RTuple, RType, RVoid, bit_rprimitive, bool_rprimitive, cstring_rprimitive, float_rprimitive, int_rprimitive, is_bool_or_bit_rprimitive, is_int_rprimitive, is_none_rprimitive, is_pointer_rprimitive, is_short_int_rprimitive, object_rprimitive, pointer_rprimitive, short_int_rprimitive, void_rtype, ) if TYPE_CHECKING: from mypyc.codegen.literals import LiteralValue from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncDecl, FuncIR T = TypeVar("T") @final class BasicBlock: """IR basic block. Contains a sequence of Ops and ends with a ControlOp (Goto, Branch, Return or Unreachable). Only the last op can be a ControlOp. All generated Ops live in basic blocks. Basic blocks determine the order of evaluation and control flow within a function. A basic block is always associated with a single function/method (FuncIR). When building the IR, ops that raise exceptions can be included in the middle of a basic block, but the exceptions aren't checked. Afterwards we perform a transform that inserts explicit checks for all error conditions and splits basic blocks accordingly to preserve the invariant that a jump, branch or return can only ever appear as the final op in a block. Manually inserting error checking ops would be boring and error-prone. BasicBlocks have an error_handler attribute that determines where to jump if an error occurs. If none is specified, an error will propagate up out of the function. This is compiled away by the `exceptions` module. Block labels are used for pretty printing and emitting C code, and get filled in by those passes. Ops that may terminate the program aren't treated as exits. """ def __init__(self, label: int = -1) -> None: self.label = label self.ops: list[Op] = [] self.error_handler: BasicBlock | None = None self.referenced = False @property def terminated(self) -> bool: """Does the block end with a jump, branch or return? This should always be true after the basic block has been fully built, but this is false during construction. """ return bool(self.ops) and isinstance(self.ops[-1], ControlOp) @property def terminator(self) -> ControlOp: """The terminator operation of the block.""" assert bool(self.ops) and isinstance(self.ops[-1], ControlOp) return self.ops[-1] # Never generates an exception ERR_NEVER: Final = 0 # Generates magic value (c_error_value) based on target RType on exception ERR_MAGIC: Final = 1 # Generates false (bool) on exception ERR_FALSE: Final = 2 # Always fails ERR_ALWAYS: Final = 3 # Like ERR_MAGIC, but the magic return overlaps with a possible return value, and # an extra PyErr_Occurred() check is also required ERR_MAGIC_OVERLAPPING: Final = 4 # Hack: using this line number for an op will suppress it in tracebacks NO_TRACEBACK_LINE_NO = -10000 class Value: """Abstract base class for all IR values. These include references to registers, literals, and all operations (Ops), such as assignments, calls and branches. Values are often used as inputs of Ops. Register can be used as an assignment target. A Value is part of the IR being compiled if it's included in a BasicBlock that is reachable from a FuncIR (i.e., is part of a function). See also: Op is a subclass of Value that is the base class of all operations. """ # Source line number (-1 for no/unknown line) line = -1 # Type of the value or the result of the operation type: RType = void_rtype is_borrowed = False @property def is_void(self) -> bool: return isinstance(self.type, RVoid) @final class Register(Value): """A Register holds a value of a specific type, and it can be read and mutated. A Register is always local to a function. Each local variable maps to a Register, and they are also used for some (but not all) temporary values. Note that the term 'register' is overloaded and is sometimes used to refer to arbitrary Values (for example, in RegisterOp). """ def __init__(self, type: RType, name: str = "", is_arg: bool = False, line: int = -1) -> None: self.type = type self.name = name self.is_arg = is_arg self.is_borrowed = is_arg self.line = line @property def is_void(self) -> bool: return False def __repr__(self) -> str: return f"" @final class Integer(Value): """Short integer literal. Integer literals are treated as constant values and are generally not included in data flow analyses and such, unlike Register and Op subclasses. Integer can represent multiple types: * Short tagged integers (short_int_primitive type; the tag bit is clear) * Ordinary fixed-width integers (e.g., int32_rprimitive) * Values of other unboxed primitive types that are represented as integers (none_rprimitive, bool_rprimitive) * Null pointers (value 0) of various types, including object_rprimitive """ def __init__(self, value: int, rtype: RType = short_int_rprimitive, line: int = -1) -> None: if is_short_int_rprimitive(rtype) or is_int_rprimitive(rtype): self.value = value * 2 else: self.value = value self.type = rtype self.line = line def numeric_value(self) -> int: if is_short_int_rprimitive(self.type) or is_int_rprimitive(self.type): return self.value // 2 return self.value @final class Float(Value): """Float literal. Floating point literals are treated as constant values and are generally not included in data flow analyses and such, unlike Register and Op subclasses. """ def __init__(self, value: float, line: int = -1) -> None: self.value = value self.type = float_rprimitive self.line = line @final class CString(Value): """C string literal (zero-terminated). You can also include zero values in the value, but then you'll need to track the length of the string separately. """ def __init__(self, value: bytes, line: int = -1) -> None: self.value = value self.type = cstring_rprimitive self.line = line @final class Undef(Value): """An undefined value. Use Undef() as the initial value followed by one or more SetElement ops to initialize a struct. Pseudocode example: r0 = set_element undef MyStruct, "field1", f1 r1 = set_element r0, "field2", f2 # r1 now has new struct value with two fields set Warning: Always initialize undefined values before using them, as otherwise the values are garbage. You shouldn't expect that undefined values are zeroed, in particular. """ def __init__(self, rtype: RType) -> None: self.type = rtype class Op(Value): """Abstract base class for all IR operations. Each operation must be stored in a BasicBlock (in 'ops') to be active in the IR. This is different from non-Op values, including Register and Integer, where a reference from an active Op is sufficient to be considered active. In well-formed IR an active Op has no references to inactive ops or ops used in another function. """ def __init__(self, line: int) -> None: self.line = line def can_raise(self) -> bool: # Override this is if Op may raise an exception. Note that currently the fact that # only RegisterOps may raise an exception in hard coded in some places. return False @abstractmethod def sources(self) -> list[Value]: """All the values the op may read.""" @abstractmethod def set_sources(self, new: list[Value]) -> None: """Rewrite the sources of an op""" def stolen(self) -> list[Value]: """Return arguments that have a reference count stolen by this op""" return [] def unique_sources(self) -> list[Value]: result: list[Value] = [] for reg in self.sources(): if reg not in result: result.append(reg) return result @abstractmethod def accept(self, visitor: OpVisitor[T]) -> T: pass class BaseAssign(Op): """Abstract base class for ops that assign to a register.""" def __init__(self, dest: Register, line: int = -1) -> None: super().__init__(line) self.dest = dest @final class Assign(BaseAssign): """Assign a value to a Register (dest = src).""" error_kind = ERR_NEVER def __init__(self, dest: Register, src: Value, line: int = -1) -> None: super().__init__(dest, line) self.src = src def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def stolen(self) -> list[Value]: return [self.src] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_assign(self) @final class AssignMulti(BaseAssign): """Assign multiple values to a Register (dest = src1, src2, ...). This is used to initialize RArray values. It's provided to avoid very verbose IR for common vectorcall operations. Note that this interacts atypically with reference counting. We assume that each RArray register is initialized exactly once with this op. """ error_kind = ERR_NEVER def __init__(self, dest: Register, src: list[Value], line: int = -1) -> None: super().__init__(dest, line) assert src assert isinstance(dest.type, RArray) assert dest.type.length == len(src) self.src = src def sources(self) -> list[Value]: return self.src.copy() def set_sources(self, new: list[Value]) -> None: self.src = new[:] def stolen(self) -> list[Value]: return [] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_assign_multi(self) class ControlOp(Op): """Abstract base class for control flow operations.""" def targets(self) -> Sequence[BasicBlock]: """Get all basic block targets of the control operation.""" return () def set_target(self, i: int, new: BasicBlock) -> None: """Update a basic block target.""" raise AssertionError(f"Invalid set_target({self}, {i})") @final class Goto(ControlOp): """Unconditional jump.""" error_kind = ERR_NEVER def __init__(self, label: BasicBlock, line: int = -1) -> None: super().__init__(line) self.label = label def targets(self) -> Sequence[BasicBlock]: return (self.label,) def set_target(self, i: int, new: BasicBlock) -> None: assert i == 0 self.label = new def __repr__(self) -> str: return "" % self.label.label def sources(self) -> list[Value]: return [] def set_sources(self, new: list[Value]) -> None: assert not new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_goto(self) @final class Branch(ControlOp): """Branch based on a value. If op is BOOL, branch based on a bit/bool value: if [not] r1 goto L1 else goto L2 If op is IS_ERROR, branch based on whether there is an error value: if [not] is_error(r1) goto L1 else goto L2 """ # Branch ops never raise an exception. error_kind = ERR_NEVER BOOL: Final = 100 IS_ERROR: Final = 101 def __init__( self, value: Value, true_label: BasicBlock, false_label: BasicBlock, op: int, line: int = -1, *, rare: bool = False, ) -> None: super().__init__(line) # Target value being checked self.value = value # Branch here if the condition is true self.true = true_label # Branch here if the condition is false self.false = false_label # Branch.BOOL (boolean check) or Branch.IS_ERROR (error value check) self.op = op # If True, the condition is negated self.negated = False # If not None, the true label should generate a traceback entry (func name, line number) self.traceback_entry: tuple[str, int] | None = None # If True, we expect to usually take the false branch (for optimization purposes); # this is implicitly treated as true if there is a traceback entry self.rare = rare def targets(self) -> Sequence[BasicBlock]: return (self.true, self.false) def set_target(self, i: int, new: BasicBlock) -> None: assert i == 0 or i == 1 if i == 0: self.true = new else: self.false = new def sources(self) -> list[Value]: return [self.value] def set_sources(self, new: list[Value]) -> None: (self.value,) = new def invert(self) -> None: self.negated = not self.negated def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_branch(self) @final class Return(ControlOp): """Return a value from a function.""" error_kind = ERR_NEVER def __init__( self, value: Value, line: int = -1, *, yield_target: BasicBlock | None = None ) -> None: super().__init__(line) self.value = value # If this return is created by a yield, keep track of the next # basic block. This doesn't affect the code we generate but # can feed into analysis that need to understand the # *original* CFG. self.yield_target = yield_target def sources(self) -> list[Value]: return [self.value] def set_sources(self, new: list[Value]) -> None: (self.value,) = new def stolen(self) -> list[Value]: return [self.value] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_return(self) @final class Unreachable(ControlOp): """Mark the end of basic block as unreachable. This is sometimes necessary when the end of a basic block is never reached. This can also be explicitly added to the end of non-None returning functions (in None-returning function we can just return None). Mypy statically guarantees that the end of the function is not unreachable if there is not a return statement. This prevents the block formatter from being confused due to lack of a leave and also leaves a nifty note in the IR. It is not generally processed by visitors. """ error_kind = ERR_NEVER def __init__(self, line: int = -1) -> None: super().__init__(line) def sources(self) -> list[Value]: return [] def set_sources(self, new: list[Value]) -> None: assert not new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_unreachable(self) class RegisterOp(Op): """Abstract base class for operations that can be written as r1 = f(r2, ..., rn). Takes some values, performs an operation, and generates an output (unless the 'type' attribute is void_rtype, which is the default). Other ops can refer to the result of the Op by referring to the Op instance. This doesn't do any explicit control flow, but can raise an error. Note that the operands can be arbitrary Values, not just Register instances, even though the naming may suggest otherwise. """ error_kind = -1 # Can this raise exception and how is it signalled; one of ERR_* _type: RType | None = None def __init__(self, line: int) -> None: super().__init__(line) assert self.error_kind != -1, "error_kind not defined" def can_raise(self) -> bool: return self.error_kind != ERR_NEVER @final class IncRef(RegisterOp): """Increase reference count (inc_ref src).""" error_kind = ERR_NEVER def __init__(self, src: Value, line: int = -1) -> None: assert src.type.is_refcounted super().__init__(line) self.src = src def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_inc_ref(self) @final class DecRef(RegisterOp): """Decrease reference count and free object if zero (dec_ref src). The is_xdec flag says to use an XDECREF, which checks if the pointer is NULL first. """ error_kind = ERR_NEVER def __init__(self, src: Value, is_xdec: bool = False, line: int = -1) -> None: assert src.type.is_refcounted super().__init__(line) self.src = src self.is_xdec = is_xdec def __repr__(self) -> str: return "<{}DecRef {!r}>".format("X" if self.is_xdec else "", self.src) def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_dec_ref(self) @final class Call(RegisterOp): """Native call f(arg, ...). The call target can be a module-level function or a class. """ def __init__(self, fn: FuncDecl, args: Sequence[Value], line: int) -> None: self.fn = fn self.args = list(args) assert len(self.args) == len(fn.sig.args) self.type = fn.sig.ret_type ret_type = fn.sig.ret_type if not ret_type.error_overlap: self.error_kind = ERR_MAGIC else: self.error_kind = ERR_MAGIC_OVERLAPPING super().__init__(line) def sources(self) -> list[Value]: return list(self.args.copy()) def set_sources(self, new: list[Value]) -> None: self.args = new[:] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_call(self) @final class MethodCall(RegisterOp): """Native method call obj.method(arg, ...)""" def __init__(self, obj: Value, method: str, args: list[Value], line: int = -1) -> None: self.obj = obj self.method = method self.args = args assert isinstance(obj.type, RInstance), "Methods can only be called on instances" self.receiver_type = obj.type method_ir = self.receiver_type.class_ir.method_sig(method) assert method_ir is not None, "{} doesn't have method {}".format( self.receiver_type.name, method ) ret_type = method_ir.ret_type self.type = ret_type if not ret_type.error_overlap: self.error_kind = ERR_MAGIC else: self.error_kind = ERR_MAGIC_OVERLAPPING super().__init__(line) def sources(self) -> list[Value]: return self.args.copy() + [self.obj] def set_sources(self, new: list[Value]) -> None: *self.args, self.obj = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_method_call(self) @final class PrimitiveDescription: """Description of a primitive op. Primitives get lowered into lower-level ops before code generation. If c_function_name is provided, a primitive will be lowered into a CallC op. Otherwise custom logic will need to be implemented to transform the primitive into lower-level ops. """ def __init__( self, name: str, arg_types: list[RType], return_type: RType, # TODO: What about generic? var_arg_type: RType | None, truncated_type: RType | None, c_function_name: str | None, error_kind: int, steals: StealsDescription, is_borrowed: bool, ordering: list[int] | None, extra_int_constants: list[tuple[int, RType]], priority: int, is_pure: bool, experimental: bool, capsule: str | None, ) -> None: # Each primitive much have a distinct name, but otherwise they are arbitrary. self.name: Final = name self.arg_types: Final = arg_types self.return_type: Final = return_type self.var_arg_type: Final = var_arg_type self.truncated_type: Final = truncated_type # If non-None, this will map to a call of a C helper function; if None, # there must be a custom handler function that gets invoked during the lowering # pass to generate low-level IR for the primitive (in the mypyc.lower package) self.c_function_name: Final = c_function_name self.error_kind: Final = error_kind self.steals: Final = steals self.is_borrowed: Final = is_borrowed self.ordering: Final = ordering self.extra_int_constants: Final = extra_int_constants self.priority: Final = priority # Pure primitives have no side effects, take immutable arguments, and # never fail. They support additional optimizations. self.is_pure: Final = is_pure if is_pure: assert error_kind == ERR_NEVER # Experimental primitives are not used unless mypyc experimental features are # explicitly enabled self.experimental = experimental # Capsule that needs to imported and configured to call the primitive # (name of the target module, e.g. "librt.base64"). self.capsule = capsule def __repr__(self) -> str: return f"" @final class PrimitiveOp(RegisterOp): """A higher-level primitive operation. Some of these have special compiler support. These will be lowered (transformed) into lower-level IR ops before code generation, and after reference counting op insertion. Others will be transformed into CallC ops. Tagged integer equality is a typical primitive op with non-trivial lowering. It gets transformed into a tag check, followed by different code paths for short and long representations. """ def __init__(self, args: list[Value], desc: PrimitiveDescription, line: int = -1) -> None: self.args = args self.type = desc.return_type self.error_kind = desc.error_kind self.desc = desc def sources(self) -> list[Value]: return self.args def set_sources(self, new: list[Value]) -> None: self.args = new[:] def stolen(self) -> list[Value]: steals = self.desc.steals if isinstance(steals, list): assert len(steals) == len(self.args) return [arg for arg, steal in zip(self.args, steals) if steal] else: return [] if not steals else self.sources() def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_primitive_op(self) @final class LoadErrorValue(RegisterOp): """Load an error value. Each type has one reserved value that signals an error (exception). This loads the error value for a specific type. """ error_kind = ERR_NEVER def __init__( self, rtype: RType, line: int = -1, is_borrowed: bool = False, undefines: bool = False ) -> None: super().__init__(line) self.type = rtype self.is_borrowed = is_borrowed # Undefines is true if this should viewed by the definedness # analysis pass as making the register it is assigned to # undefined (and thus checks should be added on uses). self.undefines = undefines def sources(self) -> list[Value]: return [] def set_sources(self, new: list[Value]) -> None: assert not new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_load_error_value(self) @final class LoadLiteral(RegisterOp): """Load a Python literal object (dest = 'foo' / b'foo' / ...). This is used to load a static PyObject * value corresponding to a literal of one of the supported types. Tuple / frozenset literals must contain only valid literal values as items. NOTE: You can use this to load boxed (Python) int objects. Use Integer to load unboxed, tagged integers or fixed-width, low-level integers. For int literals, both int_rprimitive (CPyTagged) and object_primitive (PyObject *) are supported as rtype. However, when using int_rprimitive, the value must *not* be small enough to fit in an unboxed integer. """ error_kind = ERR_NEVER is_borrowed = True def __init__(self, value: LiteralValue, rtype: RType) -> None: self.value = value self.type = rtype def sources(self) -> list[Value]: return [] def set_sources(self, new: list[Value]) -> None: assert not new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_load_literal(self) @final class GetAttr(RegisterOp): """obj.attr (for a native object)""" error_kind = ERR_MAGIC def __init__( self, obj: Value, attr: str, line: int, *, borrow: bool = False, allow_error_value: bool = False, ) -> None: super().__init__(line) self.obj = obj self.attr = attr self.allow_error_value = allow_error_value assert isinstance(obj.type, RInstance), "Attribute access not supported: %s" % obj.type self.class_type = obj.type attr_type = obj.type.attr_type(attr) self.type = attr_type if allow_error_value: self.error_kind = ERR_NEVER elif attr_type.error_overlap: self.error_kind = ERR_MAGIC_OVERLAPPING self.is_borrowed = borrow and attr_type.is_refcounted def sources(self) -> list[Value]: return [self.obj] def set_sources(self, new: list[Value]) -> None: (self.obj,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_get_attr(self) @final class SetAttr(RegisterOp): """obj.attr = src (for a native object) Steals the reference to src. """ error_kind = ERR_FALSE def __init__(self, obj: Value, attr: str, src: Value, line: int) -> None: super().__init__(line) self.obj = obj self.attr = attr self.src = src assert isinstance(obj.type, RInstance), "Attribute access not supported: %s" % obj.type self.class_type = obj.type self.type = bool_rprimitive # If True, we can safely assume that the attribute is previously undefined # and we don't use a setter self.is_init = False def mark_as_initializer(self) -> None: self.is_init = True self.error_kind = ERR_NEVER self.type = void_rtype def sources(self) -> list[Value]: return [self.obj, self.src] def set_sources(self, new: list[Value]) -> None: self.obj, self.src = new def stolen(self) -> list[Value]: return [self.src] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_set_attr(self) # Default name space for statics, variables NAMESPACE_STATIC: Final = "static" # Static namespace for pointers to native type objects NAMESPACE_TYPE: Final = "type" # Namespace for modules NAMESPACE_MODULE: Final = "module" # Namespace for Python 3.12 type variable objects (implicitly created TypeVar instances, etc.) NAMESPACE_TYPE_VAR: Final = "typevar" @final class LoadStatic(RegisterOp): """Load a static name (name :: static). Load a C static variable/pointer. The namespace for statics is shared for the entire compilation group. You can optionally provide a module name and a sub-namespace identifier for additional namespacing to avoid name conflicts. The static namespace does not overlap with other C names, since the final C name will get a prefix, so conflicts only must be avoided with other statics. """ error_kind = ERR_NEVER is_borrowed = True def __init__( self, type: RType, identifier: str, module_name: str | None = None, namespace: str = NAMESPACE_STATIC, line: int = -1, ann: object = None, ) -> None: super().__init__(line) self.identifier = identifier self.module_name = module_name self.namespace = namespace self.type = type self.ann = ann # An object to pretty print with the load def sources(self) -> list[Value]: return [] def set_sources(self, new: list[Value]) -> None: assert not new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_load_static(self) @final class InitStatic(RegisterOp): """static = value :: static Initialize a C static variable/pointer. See everything in LoadStatic. """ error_kind = ERR_NEVER def __init__( self, value: Value, identifier: str, module_name: str | None = None, namespace: str = NAMESPACE_STATIC, line: int = -1, ) -> None: super().__init__(line) self.identifier = identifier self.module_name = module_name self.namespace = namespace self.value = value def sources(self) -> list[Value]: return [self.value] def set_sources(self, new: list[Value]) -> None: (self.value,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_init_static(self) @final class TupleSet(RegisterOp): """dest = (reg, ...) (for fixed-length tuple)""" error_kind = ERR_NEVER def __init__(self, items: list[Value], line: int) -> None: super().__init__(line) self.items = items # Don't keep track of the fact that an int is short after it # is put into a tuple, since we don't properly implement # runtime subtyping for tuples. self.tuple_type = RTuple( [ arg.type if not is_short_int_rprimitive(arg.type) else int_rprimitive for arg in items ] ) self.type = self.tuple_type def sources(self) -> list[Value]: return self.items.copy() def stolen(self) -> list[Value]: return self.items.copy() def set_sources(self, new: list[Value]) -> None: self.items = new[:] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_tuple_set(self) @final class TupleGet(RegisterOp): """Get item of a fixed-length tuple (src[index]).""" error_kind = ERR_NEVER def __init__(self, src: Value, index: int, line: int = -1, *, borrow: bool = False) -> None: super().__init__(line) assert isinstance( src.type, RTuple ), f"TupleGet only operates on tuples, not {type(src.type).__name__}" src_len = len(src.type.types) self.src = src self.index = index if index < 0: self.index += src_len assert ( self.index <= src_len - 1 ), f"Index out of range.\nsource type: {src.type}\nindex: {index}" self.type = src.type.types[index] self.is_borrowed = borrow def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_tuple_get(self) @final class Cast(RegisterOp): """cast(type, src) Perform a runtime type check (no representation or value conversion). DO NOT increment reference counts. """ error_kind = ERR_MAGIC def __init__( self, src: Value, typ: RType, line: int, *, borrow: bool = False, unchecked: bool = False ) -> None: super().__init__(line) self.src = src self.type = typ # If true, don't incref the result. self.is_borrowed = borrow # If true, don't perform a runtime type check (only changes the static type of # the operand). Used when we know that the cast will always succeed. self.is_unchecked = unchecked if unchecked: self.error_kind = ERR_NEVER def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def stolen(self) -> list[Value]: if self.is_borrowed: return [] return [self.src] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_cast(self) @final class Box(RegisterOp): """box(type, src) This converts from a potentially unboxed representation to a straight Python object. Only supported for types with an unboxed representation. """ error_kind = ERR_NEVER def __init__(self, src: Value, line: int = -1) -> None: super().__init__(line) self.src = src self.type = object_rprimitive # When we box None and bool values, we produce a borrowed result if is_none_rprimitive(self.src.type) or is_bool_or_bit_rprimitive(self.src.type): self.is_borrowed = True def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def stolen(self) -> list[Value]: return [self.src] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_box(self) @final class Unbox(RegisterOp): """unbox(type, src) This is similar to a cast, but it also changes to a (potentially) unboxed runtime representation. Only supported for types with an unboxed representation. """ def __init__(self, src: Value, typ: RType, line: int) -> None: self.src = src self.type = typ if not typ.error_overlap: self.error_kind = ERR_MAGIC else: self.error_kind = ERR_MAGIC_OVERLAPPING super().__init__(line) def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_unbox(self) @final class RaiseStandardError(RegisterOp): """Raise built-in exception with an optional error string. We have a separate opcode for this for convenience and to generate smaller, more idiomatic C code. """ # TODO: Make it more explicit at IR level that this always raises error_kind = ERR_FALSE VALUE_ERROR: Final = "ValueError" ASSERTION_ERROR: Final = "AssertionError" STOP_ITERATION: Final = "StopIteration" UNBOUND_LOCAL_ERROR: Final = "UnboundLocalError" RUNTIME_ERROR: Final = "RuntimeError" NAME_ERROR: Final = "NameError" ZERO_DIVISION_ERROR: Final = "ZeroDivisionError" def __init__(self, class_name: str, value: str | Value | None, line: int) -> None: super().__init__(line) self.class_name = class_name self.value = value self.type = bool_rprimitive def sources(self) -> list[Value]: return [] def set_sources(self, new: list[Value]) -> None: assert not new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_raise_standard_error(self) # True steals all arguments, False steals none, a list steals those in matching positions StealsDescription = Union[bool, list[bool]] @final class CallC(RegisterOp): """result = function(arg0, arg1, ...) Call a C function that is not a compiled/native function (for example, a Python C API function). Use Call to call native functions. """ def __init__( self, function_name: str, args: list[Value], ret_type: RType, steals: StealsDescription, is_borrowed: bool, error_kind: int, line: int, var_arg_idx: int = -1, *, is_pure: bool = False, returns_null: bool = False, capsule: str | None = None, ) -> None: self.error_kind = error_kind super().__init__(line) self.function_name = function_name self.args = args self.type = ret_type self.steals = steals self.is_borrowed = is_borrowed # The position of the first variable argument in args (if >= 0) self.var_arg_idx = var_arg_idx # Is the function pure? Pure functions have no side effects # and all the arguments are immutable. Pure functions support # additional optimizations. Pure functions never fail. self.is_pure = is_pure # The function might return a null value that does not indicate # an error. self.returns_null = returns_null # A capsule from this module must be imported and initialized before calling this # function (used for C functions exported from librt). Example value: "librt.base64" self.capsule = capsule if is_pure or returns_null: assert error_kind == ERR_NEVER def sources(self) -> list[Value]: return self.args[:] def set_sources(self, new: list[Value]) -> None: self.args = new[:] def stolen(self) -> list[Value]: if isinstance(self.steals, list): assert len(self.steals) == len(self.args) return [arg for arg, steal in zip(self.args, self.steals) if steal] else: return [] if not self.steals else self.sources() def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_call_c(self) @final class Truncate(RegisterOp): """result = truncate src from src_type to dst_type Truncate a value from type with more bits to type with less bits. dst_type and src_type can be native integer types, bools or tagged integers. Tagged integers should have the tag bit unset. """ error_kind = ERR_NEVER def __init__(self, src: Value, dst_type: RType, line: int = -1) -> None: super().__init__(line) self.src = src self.type = dst_type self.src_type = src.type def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def stolen(self) -> list[Value]: return [] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_truncate(self) @final class Extend(RegisterOp): """result = extend src from src_type to dst_type Extend a value from a type with fewer bits to a type with more bits. dst_type and src_type can be native integer types, bools or tagged integers. Tagged integers should have the tag bit unset. If 'signed' is true, perform sign extension. Otherwise, the result will be zero extended. """ error_kind = ERR_NEVER def __init__(self, src: Value, dst_type: RType, signed: bool, line: int = -1) -> None: super().__init__(line) self.src = src self.type = dst_type self.src_type = src.type self.signed = signed def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def stolen(self) -> list[Value]: return [] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_extend(self) @final class LoadGlobal(RegisterOp): """Load a low-level global variable/pointer. Note that can't be used to directly load Python module-level global variable, since they are stored in a globals dictionary and accessed using dictionary operations. """ error_kind = ERR_NEVER is_borrowed = True def __init__(self, type: RType, identifier: str, line: int = -1, ann: object = None) -> None: super().__init__(line) self.identifier = identifier self.type = type self.ann = ann # An object to pretty print with the load def sources(self) -> list[Value]: return [] def set_sources(self, new: list[Value]) -> None: assert not new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_load_global(self) @final class IntOp(RegisterOp): """Binary arithmetic or bitwise op on integer operands (e.g., r1 = r2 + r3). These ops are low-level and are similar to the corresponding C operations. The left and right values must have low-level integer types with compatible representations. Fixed-width integers, short_int_rprimitive, bool_rprimitive and bit_rprimitive are supported. For tagged (arbitrary-precision) integer ops look at mypyc.primitives.int_ops. """ error_kind = ERR_NEVER # Arithmetic ops ADD: Final = 0 SUB: Final = 1 MUL: Final = 2 DIV: Final = 3 MOD: Final = 4 # Bitwise ops AND: Final = 200 OR: Final = 201 XOR: Final = 202 LEFT_SHIFT: Final = 203 RIGHT_SHIFT: Final = 204 op_str: Final = { ADD: "+", SUB: "-", MUL: "*", DIV: "/", MOD: "%", AND: "&", OR: "|", XOR: "^", LEFT_SHIFT: "<<", RIGHT_SHIFT: ">>", } def __init__(self, type: RType, lhs: Value, rhs: Value, op: int, line: int = -1) -> None: super().__init__(line) self.type = type self.lhs = lhs self.rhs = rhs self.op = op def sources(self) -> list[Value]: return [self.lhs, self.rhs] def set_sources(self, new: list[Value]) -> None: self.lhs, self.rhs = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_int_op(self) # We can't have this in the IntOp class body, because of # https://github.com/mypyc/mypyc/issues/932. int_op_to_id: Final = {op: op_id for op_id, op in IntOp.op_str.items()} @final class ComparisonOp(RegisterOp): """Low-level comparison op for integers and pointers. Both unsigned and signed comparisons are supported. Supports comparisons between fixed-width integer types and pointer types. The operands should have matching sizes. The result is always a bit (representing a boolean). Python semantics, such as calling __eq__, are not supported. """ # Must be ERR_NEVER or ERR_FALSE. ERR_FALSE means that a false result # indicates that an exception has been raised and should be propagated. error_kind = ERR_NEVER # S for signed and U for unsigned EQ: Final = 100 NEQ: Final = 101 SLT: Final = 102 SGT: Final = 103 SLE: Final = 104 SGE: Final = 105 ULT: Final = 106 UGT: Final = 107 ULE: Final = 108 UGE: Final = 109 op_str: Final = { EQ: "==", NEQ: "!=", SLT: "<", SGT: ">", SLE: "<=", SGE: ">=", ULT: "<", UGT: ">", ULE: "<=", UGE: ">=", } signed_ops: Final = {"==": EQ, "!=": NEQ, "<": SLT, ">": SGT, "<=": SLE, ">=": SGE} unsigned_ops: Final = {"==": EQ, "!=": NEQ, "<": ULT, ">": UGT, "<=": ULE, ">=": UGE} def __init__(self, lhs: Value, rhs: Value, op: int, line: int = -1) -> None: super().__init__(line) self.type = bit_rprimitive self.lhs = lhs self.rhs = rhs self.op = op def sources(self) -> list[Value]: return [self.lhs, self.rhs] def set_sources(self, new: list[Value]) -> None: self.lhs, self.rhs = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_comparison_op(self) @final class FloatOp(RegisterOp): """Binary float arithmetic op (e.g., r1 = r2 + r3). These ops are low-level and are similar to the corresponding C operations (and somewhat different from Python operations). The left and right values must be floats. """ error_kind = ERR_NEVER ADD: Final = 0 SUB: Final = 1 MUL: Final = 2 DIV: Final = 3 MOD: Final = 4 op_str: Final = {ADD: "+", SUB: "-", MUL: "*", DIV: "/", MOD: "%"} def __init__(self, lhs: Value, rhs: Value, op: int, line: int = -1) -> None: super().__init__(line) self.type = float_rprimitive self.lhs = lhs self.rhs = rhs self.op = op def sources(self) -> list[Value]: return [self.lhs, self.rhs] def set_sources(self, new: list[Value]) -> None: (self.lhs, self.rhs) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_float_op(self) # We can't have this in the FloatOp class body, because of # https://github.com/mypyc/mypyc/issues/932. float_op_to_id: Final = {op: op_id for op_id, op in FloatOp.op_str.items()} @final class FloatNeg(RegisterOp): """Float negation op (r1 = -r2).""" error_kind = ERR_NEVER def __init__(self, src: Value, line: int = -1) -> None: super().__init__(line) self.type = float_rprimitive self.src = src def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_float_neg(self) @final class FloatComparisonOp(RegisterOp): """Low-level comparison op for floats.""" error_kind = ERR_NEVER EQ: Final = 200 NEQ: Final = 201 LT: Final = 202 GT: Final = 203 LE: Final = 204 GE: Final = 205 op_str: Final = {EQ: "==", NEQ: "!=", LT: "<", GT: ">", LE: "<=", GE: ">="} def __init__(self, lhs: Value, rhs: Value, op: int, line: int = -1) -> None: super().__init__(line) self.type = bit_rprimitive self.lhs = lhs self.rhs = rhs self.op = op def sources(self) -> list[Value]: return [self.lhs, self.rhs] def set_sources(self, new: list[Value]) -> None: (self.lhs, self.rhs) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_float_comparison_op(self) # We can't have this in the FloatOp class body, because of # https://github.com/mypyc/mypyc/issues/932. float_comparison_op_to_id: Final = {op: op_id for op_id, op in FloatComparisonOp.op_str.items()} @final class LoadMem(RegisterOp): """Read a memory location: result = *(type *)src. Attributes: type: Type of the read value src: Pointer to memory to read """ error_kind = ERR_NEVER def __init__(self, type: RType, src: Value, line: int = -1, *, borrow: bool = False) -> None: super().__init__(line) self.type = type # TODO: Support other native integer types assert is_pointer_rprimitive(src.type) self.src = src self.is_borrowed = borrow and type.is_refcounted def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_load_mem(self) @final class SetMem(Op): """Write to a memory location: *(type *)dest = src Attributes: type: Type of the written value dest: Pointer to memory to write src: Source value """ error_kind = ERR_NEVER def __init__(self, type: RType, dest: Value, src: Value, line: int = -1) -> None: super().__init__(line) self.type = void_rtype self.dest_type = type self.src = src self.dest = dest def sources(self) -> list[Value]: return [self.src, self.dest] def set_sources(self, new: list[Value]) -> None: self.src, self.dest = new def stolen(self) -> list[Value]: return [self.src] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_set_mem(self) @final class GetElementPtr(RegisterOp): """Get the address of a struct element. Note that you may need to use KeepAlive to avoid the struct being freed, if it's reference counted, such as PyObject *. """ error_kind = ERR_NEVER def __init__(self, src: Value, src_type: RType, field: str, line: int = -1) -> None: super().__init__(line) self.type = pointer_rprimitive self.src = src self.src_type = src_type self.field = field def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_get_element_ptr(self) @final class SetElement(RegisterOp): """Set the value of a struct element. This evaluates to a new struct with the changed value. Use together with Undef to initialize a fresh struct value (see Undef for more details). """ error_kind = ERR_NEVER def __init__(self, src: Value, field: str, item: Value, line: int = -1) -> None: super().__init__(line) assert isinstance(src.type, RStruct), src.type self.type = src.type self.src = src self.item = item self.field = field def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def stolen(self) -> list[Value]: return [self.src] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_set_element(self) @final class LoadAddress(RegisterOp): """Get the address of a value: result = (type)&src Attributes: type: Type of the loaded address(e.g. ptr/object_ptr) src: Source value (str for globals like 'PyList_Type', Register for temporary values or locals, LoadStatic for statics.) """ error_kind = ERR_NEVER is_borrowed = True def __init__(self, type: RType, src: str | Register | LoadStatic, line: int = -1) -> None: super().__init__(line) self.type = type self.src = src def sources(self) -> list[Value]: if isinstance(self.src, Register): return [self.src] else: return [] def set_sources(self, new: list[Value]) -> None: if new: assert isinstance(new[0], Register) assert len(new) == 1 self.src = new[0] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_load_address(self) @final class KeepAlive(RegisterOp): """A no-op operation that ensures source values aren't freed. This is sometimes useful to avoid decref when a reference is still being held but not seen by the compiler. A typical use case is like this (C-like pseudocode): ptr = &x.item r = *ptr keep_alive x # x must not be freed here # x may be freed here If we didn't have "keep_alive x", x could be freed immediately after taking the address of 'item', resulting in a read after free on the second line. If 'steal' is true, the value is considered to be stolen at this op, i.e. it won't be decref'd. You need to ensure that the value is freed otherwise, perhaps by using borrowing followed by Unborrow. Be careful with steal=True -- this can cause memory leaks. """ error_kind = ERR_NEVER def __init__(self, src: list[Value], *, steal: bool = False) -> None: assert src self.src = src self.steal = steal def sources(self) -> list[Value]: return self.src.copy() def stolen(self) -> list[Value]: if self.steal: return self.src.copy() return [] def set_sources(self, new: list[Value]) -> None: self.src = new[:] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_keep_alive(self) @final class Unborrow(RegisterOp): """A no-op op to create a regular reference from a borrowed one. Borrowed references can only be used temporarily and the reference counts won't be managed. This value will be refcounted normally. This is mainly useful if you split an aggregate value, such as a tuple, into components using borrowed values (to avoid increfs), and want to treat the components as sharing the original managed reference. You'll also need to use KeepAlive with steal=True to "consume" the original tuple reference: # t is a 2-tuple r0 = borrow t[0] r1 = borrow t[1] keep_alive steal t r2 = unborrow r0 r3 = unborrow r1 # now (r2, r3) represent the tuple as separate items, that are # managed again. (Note we need to steal before unborrow, to avoid # refcount briefly touching zero if r2 or r3 are unused.) Be careful with this -- this can easily cause double freeing. """ error_kind = ERR_NEVER def __init__(self, src: Value, line: int = -1) -> None: super().__init__(line) assert src.is_borrowed self.src = src self.type = src.type def sources(self) -> list[Value]: return [self.src] def set_sources(self, new: list[Value]) -> None: (self.src,) = new def stolen(self) -> list[Value]: return [] def accept(self, visitor: OpVisitor[T]) -> T: return visitor.visit_unborrow(self) @trait class OpVisitor(Generic[T]): """Generic visitor over ops (uses the visitor design pattern).""" @abstractmethod def visit_goto(self, op: Goto) -> T: raise NotImplementedError @abstractmethod def visit_branch(self, op: Branch) -> T: raise NotImplementedError @abstractmethod def visit_return(self, op: Return) -> T: raise NotImplementedError @abstractmethod def visit_unreachable(self, op: Unreachable) -> T: raise NotImplementedError @abstractmethod def visit_assign(self, op: Assign) -> T: raise NotImplementedError @abstractmethod def visit_assign_multi(self, op: AssignMulti) -> T: raise NotImplementedError @abstractmethod def visit_load_error_value(self, op: LoadErrorValue) -> T: raise NotImplementedError @abstractmethod def visit_load_literal(self, op: LoadLiteral) -> T: raise NotImplementedError @abstractmethod def visit_get_attr(self, op: GetAttr) -> T: raise NotImplementedError @abstractmethod def visit_set_attr(self, op: SetAttr) -> T: raise NotImplementedError @abstractmethod def visit_load_static(self, op: LoadStatic) -> T: raise NotImplementedError @abstractmethod def visit_init_static(self, op: InitStatic) -> T: raise NotImplementedError @abstractmethod def visit_tuple_get(self, op: TupleGet) -> T: raise NotImplementedError @abstractmethod def visit_tuple_set(self, op: TupleSet) -> T: raise NotImplementedError def visit_inc_ref(self, op: IncRef) -> T: raise NotImplementedError def visit_dec_ref(self, op: DecRef) -> T: raise NotImplementedError @abstractmethod def visit_call(self, op: Call) -> T: raise NotImplementedError @abstractmethod def visit_method_call(self, op: MethodCall) -> T: raise NotImplementedError @abstractmethod def visit_cast(self, op: Cast) -> T: raise NotImplementedError @abstractmethod def visit_box(self, op: Box) -> T: raise NotImplementedError @abstractmethod def visit_unbox(self, op: Unbox) -> T: raise NotImplementedError @abstractmethod def visit_raise_standard_error(self, op: RaiseStandardError) -> T: raise NotImplementedError @abstractmethod def visit_call_c(self, op: CallC) -> T: raise NotImplementedError @abstractmethod def visit_primitive_op(self, op: PrimitiveOp) -> T: raise NotImplementedError @abstractmethod def visit_truncate(self, op: Truncate) -> T: raise NotImplementedError @abstractmethod def visit_extend(self, op: Extend) -> T: raise NotImplementedError @abstractmethod def visit_load_global(self, op: LoadGlobal) -> T: raise NotImplementedError @abstractmethod def visit_int_op(self, op: IntOp) -> T: raise NotImplementedError @abstractmethod def visit_comparison_op(self, op: ComparisonOp) -> T: raise NotImplementedError @abstractmethod def visit_float_op(self, op: FloatOp) -> T: raise NotImplementedError @abstractmethod def visit_float_neg(self, op: FloatNeg) -> T: raise NotImplementedError @abstractmethod def visit_float_comparison_op(self, op: FloatComparisonOp) -> T: raise NotImplementedError @abstractmethod def visit_load_mem(self, op: LoadMem) -> T: raise NotImplementedError @abstractmethod def visit_set_mem(self, op: SetMem) -> T: raise NotImplementedError @abstractmethod def visit_get_element_ptr(self, op: GetElementPtr) -> T: raise NotImplementedError @abstractmethod def visit_set_element(self, op: SetElement) -> T: raise NotImplementedError @abstractmethod def visit_load_address(self, op: LoadAddress) -> T: raise NotImplementedError @abstractmethod def visit_keep_alive(self, op: KeepAlive) -> T: raise NotImplementedError @abstractmethod def visit_unborrow(self, op: Unborrow) -> T: raise NotImplementedError # TODO: Should the following definition live somewhere else? # We do a three-pass deserialization scheme in order to resolve name # references. # 1. Create an empty ClassIR for each class in an SCC. # 2. Deserialize all of the functions, which can contain references # to ClassIRs in their types # 3. Deserialize all of the classes, which contain lots of references # to the functions they contain. (And to other classes.) # # Note that this approach differs from how we deserialize ASTs in mypy itself, # where everything is deserialized in one pass then a second pass cleans up # 'cross_refs'. We don't follow that approach here because it seems to be more # code for not a lot of gain since it is easy in mypyc to identify all the objects # we might need to reference. # # Because of these references, we need to maintain maps from class # names to ClassIRs and func IDs to FuncIRs. # # These are tracked in a DeserMaps which is passed to every # deserialization function. # # (Serialization and deserialization *will* be used for incremental # compilation but so far it is not hooked up to anything.) class DeserMaps(NamedTuple): classes: dict[str, ClassIR] functions: dict[str, FuncIR] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/ir/pprint.py0000644000175100017510000004370415112307767015730 0ustar00runnerrunner"""Utilities for pretty-printing IR in a human-readable form.""" from __future__ import annotations from collections import defaultdict from collections.abc import Sequence from typing import Any, Final, Union from mypyc.common import short_name from mypyc.ir.func_ir import FuncIR, all_values_full from mypyc.ir.module_ir import ModuleIRs from mypyc.ir.ops import ( ERR_NEVER, Assign, AssignMulti, BasicBlock, Box, Branch, Call, CallC, Cast, ComparisonOp, ControlOp, CString, DecRef, Extend, Float, FloatComparisonOp, FloatNeg, FloatOp, GetAttr, GetElementPtr, Goto, IncRef, InitStatic, Integer, IntOp, KeepAlive, LoadAddress, LoadErrorValue, LoadGlobal, LoadLiteral, LoadMem, LoadStatic, MethodCall, Op, OpVisitor, PrimitiveOp, RaiseStandardError, Register, Return, SetAttr, SetElement, SetMem, Truncate, TupleGet, TupleSet, Unborrow, Unbox, Undef, Unreachable, Value, ) from mypyc.ir.rtypes import RType, is_bool_rprimitive, is_int_rprimitive ErrorSource = Union[BasicBlock, Op] class IRPrettyPrintVisitor(OpVisitor[str]): """Internal visitor that pretty-prints ops.""" def __init__(self, names: dict[Value, str]) -> None: # This should contain a name for all values that are shown as # registers in the output. This is not just for Register # instances -- all Ops that produce values need (generated) names. self.names = names def visit_goto(self, op: Goto) -> str: return self.format("goto %l", op.label) branch_op_names: Final = {Branch.BOOL: ("%r", "bool"), Branch.IS_ERROR: ("is_error(%r)", "")} def visit_branch(self, op: Branch) -> str: fmt, typ = self.branch_op_names[op.op] if op.negated: fmt = f"not {fmt}" cond = self.format(fmt, op.value) tb = "" if op.traceback_entry: tb = " (error at %s:%d)" % op.traceback_entry fmt = f"if {cond} goto %l{tb} else goto %l" if typ: fmt += f" :: {typ}" return self.format(fmt, op.true, op.false) def visit_return(self, op: Return) -> str: return self.format("return %r", op.value) def visit_unreachable(self, op: Unreachable) -> str: return "unreachable" def visit_assign(self, op: Assign) -> str: return self.format("%r = %r", op.dest, op.src) def visit_assign_multi(self, op: AssignMulti) -> str: return self.format("%r = [%s]", op.dest, ", ".join(self.format("%r", v) for v in op.src)) def visit_load_error_value(self, op: LoadErrorValue) -> str: return self.format("%r = :: %s", op, op.type) def visit_load_literal(self, op: LoadLiteral) -> str: prefix = "" # For values that have a potential unboxed representation, make # it explicit that this is a Python object. if isinstance(op.value, int): prefix = "object " rvalue = repr(op.value) if isinstance(op.value, frozenset): # We need to generate a string representation that won't vary # run-to-run because sets are unordered, otherwise we may get # spurious irbuild test failures. # # Sorting by the item's string representation is a bit of a # hack, but it's stable and won't cause TypeErrors. formatted_items = [repr(i) for i in sorted(op.value, key=str)] rvalue = "frozenset({" + ", ".join(formatted_items) + "})" return self.format("%r = %s%s", op, prefix, rvalue) def visit_get_attr(self, op: GetAttr) -> str: return self.format("%r = %s%r.%s", op, self.borrow_prefix(op), op.obj, op.attr) def borrow_prefix(self, op: Op) -> str: if op.is_borrowed: return "borrow " return "" def visit_set_attr(self, op: SetAttr) -> str: if op.is_init: assert op.error_kind == ERR_NEVER if op.error_kind == ERR_NEVER: # Initialization and direct struct access can never fail return self.format("%r.%s = %r", op.obj, op.attr, op.src) else: return self.format("%r.%s = %r; %r = is_error", op.obj, op.attr, op.src, op) def visit_load_static(self, op: LoadStatic) -> str: ann = f" ({repr(op.ann)})" if op.ann else "" name = op.identifier if op.module_name is not None: name = f"{op.module_name}.{name}" return self.format("%r = %s :: %s%s", op, name, op.namespace, ann) def visit_init_static(self, op: InitStatic) -> str: name = op.identifier if op.module_name is not None: name = f"{op.module_name}.{name}" return self.format("%s = %r :: %s", name, op.value, op.namespace) def visit_tuple_get(self, op: TupleGet) -> str: return self.format("%r = %s%r[%d]", op, self.borrow_prefix(op), op.src, op.index) def visit_tuple_set(self, op: TupleSet) -> str: item_str = ", ".join(self.format("%r", item) for item in op.items) return self.format("%r = (%s)", op, item_str) def visit_inc_ref(self, op: IncRef) -> str: s = self.format("inc_ref %r", op.src) # TODO: Remove bool check (it's unboxed) if is_bool_rprimitive(op.src.type) or is_int_rprimitive(op.src.type): s += f" :: {short_name(op.src.type.name)}" return s def visit_dec_ref(self, op: DecRef) -> str: s = self.format("%sdec_ref %r", "x" if op.is_xdec else "", op.src) # TODO: Remove bool check (it's unboxed) if is_bool_rprimitive(op.src.type) or is_int_rprimitive(op.src.type): s += f" :: {short_name(op.src.type.name)}" return s def visit_call(self, op: Call) -> str: args = ", ".join(self.format("%r", arg) for arg in op.args) # TODO: Display long name? short_name = op.fn.shortname s = f"{short_name}({args})" if not op.is_void: s = self.format("%r = ", op) + s return s def visit_method_call(self, op: MethodCall) -> str: args = ", ".join(self.format("%r", arg) for arg in op.args) s = self.format("%r.%s(%s)", op.obj, op.method, args) if not op.is_void: s = self.format("%r = ", op) + s return s def visit_cast(self, op: Cast) -> str: if op.is_unchecked: prefix = "unchecked " else: prefix = "" return self.format( "%r = %s%scast(%s, %r)", op, prefix, self.borrow_prefix(op), op.type, op.src ) def visit_box(self, op: Box) -> str: return self.format("%r = box(%s, %r)", op, op.src.type, op.src) def visit_unbox(self, op: Unbox) -> str: return self.format("%r = unbox(%s, %r)", op, op.type, op.src) def visit_raise_standard_error(self, op: RaiseStandardError) -> str: if op.value is not None: if isinstance(op.value, str): return self.format("%r = raise %s(%s)", op, op.class_name, repr(op.value)) elif isinstance(op.value, Value): return self.format("%r = raise %s(%r)", op, op.class_name, op.value) else: assert False, "value type must be either str or Value" else: return self.format("%r = raise %s", op, op.class_name) def visit_call_c(self, op: CallC) -> str: args_str = ", ".join(self.format("%r", arg) for arg in op.args) if op.is_void: return self.format("%s(%s)", op.function_name, args_str) else: return self.format("%r = %s(%s)", op, op.function_name, args_str) def visit_primitive_op(self, op: PrimitiveOp) -> str: args_str = ", ".join(self.format("%r", arg) for arg in op.args) if op.is_void: return self.format("%s %s", op.desc.name, args_str) else: return self.format("%r = %s %s", op, op.desc.name, args_str) def visit_truncate(self, op: Truncate) -> str: return self.format("%r = truncate %r: %t to %t", op, op.src, op.src_type, op.type) def visit_extend(self, op: Extend) -> str: if op.signed: extra = " signed" else: extra = "" return self.format("%r = extend%s %r: %t to %t", op, extra, op.src, op.src_type, op.type) def visit_load_global(self, op: LoadGlobal) -> str: ann = f" ({repr(op.ann)})" if op.ann else "" return self.format("%r = load_global %s :: static%s", op, op.identifier, ann) def visit_int_op(self, op: IntOp) -> str: return self.format("%r = %r %s %r", op, op.lhs, IntOp.op_str[op.op], op.rhs) def visit_comparison_op(self, op: ComparisonOp) -> str: if op.op in (ComparisonOp.SLT, ComparisonOp.SGT, ComparisonOp.SLE, ComparisonOp.SGE): sign_format = " :: signed" elif op.op in (ComparisonOp.ULT, ComparisonOp.UGT, ComparisonOp.ULE, ComparisonOp.UGE): sign_format = " :: unsigned" else: sign_format = "" return self.format( "%r = %r %s %r%s", op, op.lhs, ComparisonOp.op_str[op.op], op.rhs, sign_format ) def visit_float_op(self, op: FloatOp) -> str: return self.format("%r = %r %s %r", op, op.lhs, FloatOp.op_str[op.op], op.rhs) def visit_float_neg(self, op: FloatNeg) -> str: return self.format("%r = -%r", op, op.src) def visit_float_comparison_op(self, op: FloatComparisonOp) -> str: return self.format("%r = %r %s %r", op, op.lhs, op.op_str[op.op], op.rhs) def visit_load_mem(self, op: LoadMem) -> str: return self.format( "%r = %sload_mem %r :: %t*", op, self.borrow_prefix(op), op.src, op.type ) def visit_set_mem(self, op: SetMem) -> str: return self.format("set_mem %r, %r :: %t*", op.dest, op.src, op.dest_type) def visit_get_element_ptr(self, op: GetElementPtr) -> str: return self.format("%r = get_element_ptr %r %s :: %t", op, op.src, op.field, op.src_type) def visit_set_element(self, op: SetElement) -> str: return self.format("%r = set_element %r, %s, %r", op, op.src, op.field, op.item) def visit_load_address(self, op: LoadAddress) -> str: if isinstance(op.src, Register): return self.format("%r = load_address %r", op, op.src) elif isinstance(op.src, LoadStatic): name = op.src.identifier if op.src.module_name is not None: name = f"{op.src.module_name}.{name}" return self.format("%r = load_address %s :: %s", op, name, op.src.namespace) else: return self.format("%r = load_address %s", op, op.src) def visit_keep_alive(self, op: KeepAlive) -> str: if op.steal: steal = "steal " else: steal = "" return self.format( "keep_alive {}{}".format(steal, ", ".join(self.format("%r", v) for v in op.src)) ) def visit_unborrow(self, op: Unborrow) -> str: return self.format("%r = unborrow %r", op, op.src) # Helpers def format(self, fmt: str, *args: Any) -> str: """Helper for formatting strings. These format sequences are supported in fmt: %s: arbitrary object converted to string using str() %r: name of IR value/register %d: int %f: float %l: BasicBlock (formatted as label 'Ln') %t: RType """ result = [] i = 0 arglist = list(args) while i < len(fmt): n = fmt.find("%", i) if n < 0: n = len(fmt) result.append(fmt[i:n]) if n < len(fmt): typespec = fmt[n + 1] arg = arglist.pop(0) if typespec == "r": # Register/value assert isinstance(arg, Value) if isinstance(arg, Integer): result.append(str(arg.value)) elif isinstance(arg, Float): result.append(repr(arg.value)) elif isinstance(arg, CString): result.append(f"CString({arg.value!r})") elif isinstance(arg, Undef): result.append(f"undef {arg.type.name}") else: result.append(self.names[arg]) elif typespec == "d": # Integer result.append("%d" % arg) elif typespec == "f": # Float result.append("%f" % arg) elif typespec == "l": # Basic block (label) assert isinstance(arg, BasicBlock) result.append("L%s" % arg.label) elif typespec == "t": # RType assert isinstance(arg, RType) result.append(arg.name) elif typespec == "s": # String result.append(str(arg)) else: raise ValueError(f"Invalid format sequence %{typespec}") i = n + 2 else: i = n return "".join(result) def format_registers(func_ir: FuncIR, names: dict[Value, str]) -> list[str]: result = [] i = 0 regs = all_values_full(func_ir.arg_regs, func_ir.blocks) while i < len(regs): i0 = i group = [names[regs[i0]]] while i + 1 < len(regs) and regs[i + 1].type == regs[i0].type: i += 1 group.append(names[regs[i]]) i += 1 result.append("{} :: {}".format(", ".join(group), regs[i0].type)) return result def format_blocks( blocks: list[BasicBlock], names: dict[Value, str], source_to_error: dict[ErrorSource, list[str]], ) -> list[str]: """Format a list of IR basic blocks into a human-readable form.""" # First label all of the blocks for i, block in enumerate(blocks): block.label = i handler_map: dict[BasicBlock, list[BasicBlock]] = {} for b in blocks: if b.error_handler: handler_map.setdefault(b.error_handler, []).append(b) visitor = IRPrettyPrintVisitor(names) lines = [] for i, block in enumerate(blocks): handler_msg = "" if block in handler_map: labels = sorted("L%d" % b.label for b in handler_map[block]) handler_msg = " (handler for {})".format(", ".join(labels)) lines.append("L%d:%s" % (block.label, handler_msg)) if block in source_to_error: for error in source_to_error[block]: lines.append(f" ERR: {error}") ops = block.ops if ( isinstance(ops[-1], Goto) and i + 1 < len(blocks) and ops[-1].label == blocks[i + 1] and not source_to_error.get(ops[-1], []) ): # Hide the last goto if it just goes to the next basic block, # and there are no assocatiated errors with the op. ops = ops[:-1] for op in ops: line = " " + op.accept(visitor) lines.append(line) if op in source_to_error: for error in source_to_error[op]: lines.append(f" ERR: {error}") if not isinstance(block.ops[-1], (Goto, Branch, Return, Unreachable)): # Each basic block needs to exit somewhere. lines.append(" [MISSING BLOCK EXIT OPCODE]") return lines def format_func(fn: FuncIR, errors: Sequence[tuple[ErrorSource, str]] = ()) -> list[str]: lines = [] cls_prefix = fn.class_name + "." if fn.class_name else "" lines.append( "def {}{}({}):".format(cls_prefix, fn.name, ", ".join(arg.name for arg in fn.args)) ) names = generate_names_for_ir(fn.arg_regs, fn.blocks) for line in format_registers(fn, names): lines.append(" " + line) source_to_error = defaultdict(list) for source, error in errors: source_to_error[source].append(error) code = format_blocks(fn.blocks, names, source_to_error) lines.extend(code) return lines def format_modules(modules: ModuleIRs) -> list[str]: ops = [] for module in modules.values(): for fn in module.functions: ops.extend(format_func(fn)) ops.append("") return ops def generate_names_for_ir(args: list[Register], blocks: list[BasicBlock]) -> dict[Value, str]: """Generate unique names for IR values. Give names such as 'r5' to temp values in IR which are useful when pretty-printing or generating C. Ensure generated names are unique. """ names: dict[Value, str] = {} used_names = set() temp_index = 0 for arg in args: names[arg] = arg.name used_names.add(arg.name) for block in blocks: for op in block.ops: values = [] for source in op.sources(): if source not in names: values.append(source) if isinstance(op, (Assign, AssignMulti)): values.append(op.dest) elif isinstance(op, ControlOp) or op.is_void: continue elif op not in names: values.append(op) for value in values: if value in names: continue if isinstance(value, Register) and value.name: name = value.name elif isinstance(value, (Integer, Float, Undef)): continue else: name = "r%d" % temp_index temp_index += 1 # Append _2, _3, ... if needed to make the name unique. if name in used_names: n = 2 while True: candidate = "%s_%d" % (name, n) if candidate not in used_names: name = candidate break n += 1 names[value] = name used_names.add(name) return names ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/ir/rtypes.py0000644000175100017510000011142215112307767015733 0ustar00runnerrunner"""Types used in the intermediate representation. These are runtime types (RTypes), as opposed to mypy Type objects. The latter are only used during type checking and not directly used at runtime. Runtime types are derived from mypy types, but there's no simple one-to-one correspondence. (Here 'runtime' means 'runtime checked'.) The generated IR ensures some runtime type safety properties based on RTypes. Compiled code can assume that the runtime value matches the static RType of a value. If the RType of a register is 'builtins.str' (str_rprimitive), for example, the generated IR will ensure that the register will have a 'str' object. RTypes are simpler and less expressive than mypy (or PEP 484) types. For example, all mypy types of form 'list[T]' (for arbitrary T) are erased to the single RType 'builtins.list' (list_rprimitive). mypyc.irbuild.mapper.Mapper.type_to_rtype converts mypy Types to mypyc RTypes. NOTE: As a convention, we don't create subclasses of concrete RType subclasses (e.g. you shouldn't define a subclass of RTuple, which is a concrete class). We prefer a flat class hierarchy. If you want to introduce a variant of an existing class, you'd typically add an attribute (e.g. a flag) to an existing concrete class to enable the new behavior. In rare cases, adding a new abstract base class could also be an option. Adding a completely separate class and sharing some functionality using module-level helper functions may also be reasonable. This makes it possible to use isinstance(x, ) checks without worrying about potential subclasses and avoids most trouble caused by implementation inheritance. """ from __future__ import annotations from abc import abstractmethod from typing import TYPE_CHECKING, ClassVar, Final, Generic, TypeVar, final from typing_extensions import TypeGuard from mypyc.common import HAVE_IMMORTAL, IS_32_BIT_PLATFORM, PLATFORM_SIZE, JsonDict, short_name from mypyc.namegen import NameGenerator if TYPE_CHECKING: from mypyc.ir.class_ir import ClassIR from mypyc.ir.ops import DeserMaps T = TypeVar("T") class RType: """Abstract base class for runtime types (erased, only concrete; no generics).""" name: str # If True, the type has a special unboxed representation. If False, the # type is represented as PyObject *. Even if True, the representation # may contain pointers. is_unboxed = False # This is the C undefined value for this type. It's used for initialization # if there's no value yet, and for function return value on error/exception. # # TODO: This shouldn't be specific to C or a string c_undefined: str # If unboxed: does the unboxed version use reference counting? is_refcounted = True # C type; use Emitter.ctype() to access _ctype: str # If True, error/undefined value overlaps with a valid value. To # detect an exception, PyErr_Occurred() must be used in addition # to checking for error value as the return value of a function. # # For example, no i64 value can be reserved for error value, so we # pick an arbitrary value (-113) to signal error, but this is # also a valid non-error value. The chosen value is rare as a # normal, non-error value, so most of the time we can avoid calling # PyErr_Occurred() when checking for errors raised by called # functions. # # This also means that if an attribute with this type might be # undefined, we can't just rely on the error value to signal this. # Instead, we add a bitfield to keep track whether attributes with # "error overlap" have a value. If there is no value, AttributeError # is raised on attribute read. Parameters with default values also # use the bitfield trick to indicate whether the caller passed a # value. (If we can determine that an attribute is "always defined", # we never raise an AttributeError and don't need the bitfield # entry.) error_overlap = False @abstractmethod def accept(self, visitor: RTypeVisitor[T]) -> T: raise NotImplementedError() def short_name(self) -> str: return short_name(self.name) @property @abstractmethod def may_be_immortal(self) -> bool: raise NotImplementedError def __str__(self) -> str: return short_name(self.name) def __repr__(self) -> str: return "<%s>" % self.__class__.__name__ def serialize(self) -> JsonDict | str: raise NotImplementedError(f"Cannot serialize {self.__class__.__name__} instance") def deserialize_type(data: JsonDict | str, ctx: DeserMaps) -> RType: """Deserialize a JSON-serialized RType. Arguments: data: The decoded JSON of the serialized type ctx: The deserialization maps to use """ # Since there are so few types, we just case on them directly. If # more get added we should switch to a system like mypy.types # uses. if isinstance(data, str): if data in ctx.classes: return RInstance(ctx.classes[data]) elif data in RPrimitive.primitive_map: return RPrimitive.primitive_map[data] elif data == "void": return RVoid() else: assert False, f"Can't find class {data}" elif data[".class"] == "RTuple": return RTuple.deserialize(data, ctx) elif data[".class"] == "RUnion": return RUnion.deserialize(data, ctx) raise NotImplementedError("unexpected .class {}".format(data[".class"])) class RTypeVisitor(Generic[T]): """Generic visitor over RTypes (uses the visitor design pattern).""" @abstractmethod def visit_rprimitive(self, typ: RPrimitive, /) -> T: raise NotImplementedError @abstractmethod def visit_rinstance(self, typ: RInstance, /) -> T: raise NotImplementedError @abstractmethod def visit_runion(self, typ: RUnion, /) -> T: raise NotImplementedError @abstractmethod def visit_rtuple(self, typ: RTuple, /) -> T: raise NotImplementedError @abstractmethod def visit_rstruct(self, typ: RStruct, /) -> T: raise NotImplementedError @abstractmethod def visit_rarray(self, typ: RArray, /) -> T: raise NotImplementedError @abstractmethod def visit_rvoid(self, typ: RVoid, /) -> T: raise NotImplementedError @final class RVoid(RType): """The void type (no value). This is a singleton -- use void_rtype (below) to refer to this instead of constructing a new instance. """ is_unboxed = False name = "void" ctype = "void" def accept(self, visitor: RTypeVisitor[T]) -> T: return visitor.visit_rvoid(self) @property def may_be_immortal(self) -> bool: return False def serialize(self) -> str: return "void" def __eq__(self, other: object) -> TypeGuard[RVoid]: return isinstance(other, RVoid) def __hash__(self) -> int: return hash(RVoid) # Singleton instance of RVoid void_rtype: Final = RVoid() @final class RPrimitive(RType): """Primitive type such as 'object' or 'int'. These often have custom ops associated with them. The 'object' primitive type can be used to hold arbitrary Python objects. Different primitive types have different representations, and primitives may be unboxed or boxed. Primitive types don't need to directly correspond to Python types, but most do. NOTE: All supported primitive types are defined below (e.g. object_rprimitive). """ # Map from primitive names to primitive types and is used by deserialization primitive_map: ClassVar[dict[str, RPrimitive]] = {} def __init__( self, name: str, *, is_unboxed: bool, is_refcounted: bool, is_native_int: bool = False, is_signed: bool = False, ctype: str = "PyObject *", size: int = PLATFORM_SIZE, error_overlap: bool = False, may_be_immortal: bool = True, ) -> None: RPrimitive.primitive_map[name] = self self.name = name self.is_unboxed = is_unboxed self.is_refcounted = is_refcounted self.is_native_int = is_native_int self.is_signed = is_signed self._ctype = ctype self.size = size self.error_overlap = error_overlap self._may_be_immortal = may_be_immortal and HAVE_IMMORTAL if ctype == "CPyTagged": self.c_undefined = "CPY_INT_TAG" elif ctype in ("int16_t", "int32_t", "int64_t"): # This is basically an arbitrary value that is pretty # unlikely to overlap with a real value. self.c_undefined = "-113" elif ctype == "CPyPtr": # TODO: Invent an overlapping error value? self.c_undefined = "0" elif ctype.endswith("*"): # Boxed and pointer types use the null pointer as the error value. self.c_undefined = "NULL" elif ctype == "char": self.c_undefined = "2" elif ctype == "double": self.c_undefined = "-113.0" elif ctype in ("uint8_t", "uint16_t", "uint32_t", "uint64_t"): self.c_undefined = "239" # An arbitrary number else: assert False, "Unrecognized ctype: %r" % ctype def accept(self, visitor: RTypeVisitor[T]) -> T: return visitor.visit_rprimitive(self) @property def may_be_immortal(self) -> bool: return self._may_be_immortal def serialize(self) -> str: return self.name def __repr__(self) -> str: return "" % self.name def __eq__(self, other: object) -> TypeGuard[RPrimitive]: return isinstance(other, RPrimitive) and other.name == self.name def __hash__(self) -> int: return hash(self.name) # NOTE: All the supported instances of RPrimitive are defined # below. Use these instead of creating new instances. # Used to represent arbitrary objects and dynamically typed (Any) # values. There are various ops that let you perform generic, runtime # checked operations on these (that match Python semantics). See the # ops in mypyc.primitives.misc_ops, including py_getattr_op, # py_call_op, and many others. # # If there is no more specific RType available for some value, we fall # back to using this type. # # NOTE: Even though this is very flexible, this type should be used as # little as possible, as generic ops are typically slow. Other types, # including other primitive types and RInstance, are usually much # faster. object_rprimitive: Final = RPrimitive("builtins.object", is_unboxed=False, is_refcounted=True) # represents a low level pointer of an object object_pointer_rprimitive: Final = RPrimitive( "object_ptr", is_unboxed=False, is_refcounted=False, ctype="PyObject **" ) # Arbitrary-precision integer (corresponds to Python 'int'). Small # enough values are stored unboxed, while large integers are # represented as a tagged pointer to a Python 'int' PyObject. The # lowest bit is used as the tag to decide whether it is a signed # unboxed value (shifted left by one) or a PyObject * pointing to an # 'int' object. Pointers have the least significant bit set. # # The undefined/error value is the null pointer (1 -- only the least # significant bit is set)). # # This cannot represent a subclass of int. An instance of a subclass # of int is coerced to the corresponding 'int' value. int_rprimitive: Final = RPrimitive( "builtins.int", is_unboxed=True, is_refcounted=True, ctype="CPyTagged" ) # An unboxed integer. The representation is the same as for unboxed # int_rprimitive (shifted left by one). These can be used when an # integer is known to be small enough to fit size_t (CPyTagged). short_int_rprimitive: Final = RPrimitive( "short_int", is_unboxed=True, is_refcounted=False, ctype="CPyTagged" ) # Low level integer types (correspond to C integer types) int16_rprimitive: Final = RPrimitive( "i16", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=True, ctype="int16_t", size=2, error_overlap=True, ) int32_rprimitive: Final = RPrimitive( "i32", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=True, ctype="int32_t", size=4, error_overlap=True, ) int64_rprimitive: Final = RPrimitive( "i64", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=True, ctype="int64_t", size=8, error_overlap=True, ) uint8_rprimitive: Final = RPrimitive( "u8", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=False, ctype="uint8_t", size=1, error_overlap=True, ) # The following unsigned native int types (u16, u32, u64) are not # exposed to the user. They are for internal use within mypyc only. u16_rprimitive: Final = RPrimitive( "u16", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=False, ctype="uint16_t", size=2, error_overlap=True, ) uint32_rprimitive: Final = RPrimitive( "u32", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=False, ctype="uint32_t", size=4, error_overlap=True, ) uint64_rprimitive: Final = RPrimitive( "u64", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=False, ctype="uint64_t", size=8, error_overlap=True, ) # The C 'int' type c_int_rprimitive = int32_rprimitive if IS_32_BIT_PLATFORM: c_size_t_rprimitive = uint32_rprimitive c_pyssize_t_rprimitive = RPrimitive( "native_int", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=True, ctype="int32_t", size=4, ) else: c_size_t_rprimitive = uint64_rprimitive c_pyssize_t_rprimitive = RPrimitive( "native_int", is_unboxed=True, is_refcounted=False, is_native_int=True, is_signed=True, ctype="int64_t", size=8, ) # Untyped pointer, represented as integer in the C backend pointer_rprimitive: Final = RPrimitive("ptr", is_unboxed=True, is_refcounted=False, ctype="CPyPtr") # Untyped pointer, represented as void * in the C backend c_pointer_rprimitive: Final = RPrimitive( "c_ptr", is_unboxed=False, is_refcounted=False, ctype="void *" ) cstring_rprimitive: Final = RPrimitive( "cstring", is_unboxed=True, is_refcounted=False, ctype="const char *" ) # The type corresponding to mypyc.common.BITMAP_TYPE bitmap_rprimitive: Final = uint32_rprimitive # Floats are represent as 'float' PyObject * values. (In the future # we'll likely switch to a more efficient, unboxed representation.) float_rprimitive: Final = RPrimitive( "builtins.float", is_unboxed=True, is_refcounted=False, ctype="double", size=8, error_overlap=True, ) # An unboxed Python bool value. This actually has three possible values # (0 -> False, 1 -> True, 2 -> error). If you only need True/False, use # bit_rprimitive instead. bool_rprimitive: Final = RPrimitive( "builtins.bool", is_unboxed=True, is_refcounted=False, ctype="char", size=1 ) # A low-level boolean value with two possible values: 0 and 1. Any # other value results in undefined behavior. Undefined or error values # are not supported. bit_rprimitive: Final = RPrimitive( "bit", is_unboxed=True, is_refcounted=False, ctype="char", size=1 ) # The 'None' value. The possible values are 0 -> None and 2 -> error. none_rprimitive: Final = RPrimitive( "builtins.None", is_unboxed=True, is_refcounted=False, ctype="char", size=1 ) # Python list object (or an instance of a subclass of list). These could be # immortal, but since this is expected to be very rare, and the immortality checks # can be pretty expensive for lists, we treat lists as non-immortal. list_rprimitive: Final = RPrimitive( "builtins.list", is_unboxed=False, is_refcounted=True, may_be_immortal=False ) # Python dict object (or an instance of a subclass of dict). dict_rprimitive: Final = RPrimitive("builtins.dict", is_unboxed=False, is_refcounted=True) # Python set object (or an instance of a subclass of set). set_rprimitive: Final = RPrimitive("builtins.set", is_unboxed=False, is_refcounted=True) # Python frozenset object (or an instance of a subclass of frozenset). frozenset_rprimitive: Final = RPrimitive( "builtins.frozenset", is_unboxed=False, is_refcounted=True ) # Python str object. At the C layer, str is referred to as unicode # (PyUnicode). str_rprimitive: Final = RPrimitive("builtins.str", is_unboxed=False, is_refcounted=True) # Python bytes object. bytes_rprimitive: Final = RPrimitive("builtins.bytes", is_unboxed=False, is_refcounted=True) # Tuple of an arbitrary length (corresponds to Tuple[t, ...], with # explicit '...'). tuple_rprimitive: Final = RPrimitive("builtins.tuple", is_unboxed=False, is_refcounted=True) # Python range object. range_rprimitive: Final = RPrimitive("builtins.range", is_unboxed=False, is_refcounted=True) KNOWN_NATIVE_TYPES: Final = { name: RPrimitive(name, is_unboxed=False, is_refcounted=True) for name in ["librt.internal.WriteBuffer", "librt.internal.ReadBuffer"] } def is_native_rprimitive(rtype: RType) -> bool: return isinstance(rtype, RPrimitive) and rtype.name in KNOWN_NATIVE_TYPES def is_tagged(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is int_rprimitive or rtype is short_int_rprimitive def is_int_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is int_rprimitive def is_short_int_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is short_int_rprimitive def is_int16_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is int16_rprimitive def is_int32_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is int32_rprimitive or ( rtype is c_pyssize_t_rprimitive and rtype._ctype == "int32_t" ) def is_int64_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is int64_rprimitive or ( rtype is c_pyssize_t_rprimitive and rtype._ctype == "int64_t" ) def is_fixed_width_rtype(rtype: RType) -> TypeGuard[RPrimitive]: return ( is_int64_rprimitive(rtype) or is_int32_rprimitive(rtype) or is_int16_rprimitive(rtype) or is_uint8_rprimitive(rtype) ) def is_uint8_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is uint8_rprimitive def is_uint32_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is uint32_rprimitive def is_uint64_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is uint64_rprimitive def is_c_py_ssize_t_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is c_pyssize_t_rprimitive def is_pointer_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return rtype is pointer_rprimitive def is_float_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.float" def is_bool_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.bool" def is_bit_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "bit" def is_bool_or_bit_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return is_bool_rprimitive(rtype) or is_bit_rprimitive(rtype) def is_object_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.object" def is_none_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.None" def is_list_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.list" def is_dict_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.dict" def is_set_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.set" def is_frozenset_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.frozenset" def is_str_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.str" def is_bytes_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.bytes" def is_tuple_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.tuple" def is_range_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and rtype.name == "builtins.range" def is_sequence_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return isinstance(rtype, RPrimitive) and ( is_list_rprimitive(rtype) or is_tuple_rprimitive(rtype) or is_str_rprimitive(rtype) or is_bytes_rprimitive(rtype) ) def is_immutable_rprimitive(rtype: RType) -> TypeGuard[RPrimitive]: return ( is_str_rprimitive(rtype) or is_bytes_rprimitive(rtype) or is_tuple_rprimitive(rtype) or is_frozenset_rprimitive(rtype) ) class TupleNameVisitor(RTypeVisitor[str]): """Produce a tuple name based on the concrete representations of types.""" def visit_rinstance(self, t: RInstance) -> str: return "O" def visit_runion(self, t: RUnion) -> str: return "O" def visit_rprimitive(self, t: RPrimitive) -> str: if t._ctype == "CPyTagged": return "I" elif t._ctype == "char": return "C" elif t._ctype == "int64_t": return "8" # "8 byte integer" elif t._ctype == "int32_t": return "4" # "4 byte integer" elif t._ctype == "int16_t": return "2" # "2 byte integer" elif t._ctype == "uint8_t": return "U1" # "1 byte unsigned integer" elif t._ctype == "double": return "F" assert not t.is_unboxed, f"{t} unexpected unboxed type" return "O" def visit_rtuple(self, t: RTuple) -> str: parts = [elem.accept(self) for elem in t.types] return "T{}{}".format(len(parts), "".join(parts)) def visit_rstruct(self, t: RStruct) -> str: assert False, "RStruct not supported in tuple" def visit_rarray(self, t: RArray) -> str: assert False, "RArray not supported in tuple" def visit_rvoid(self, t: RVoid) -> str: assert False, "rvoid in tuple?" @final class RTuple(RType): """Fixed-length unboxed tuple (represented as a C struct). These are used to represent mypy TupleType values (fixed-length Python tuples). Since this is unboxed, the identity of a tuple object is not preserved within compiled code. If the identity of a tuple is important, or there is a need to have multiple references to a single tuple object, a variable-length tuple should be used (tuple_rprimitive or Tuple[T, ...] with explicit '...'), as they are boxed. These aren't immutable. However, user code won't be able to mutate individual tuple items. """ is_unboxed = True def __init__(self, types: list[RType]) -> None: self.name = "tuple" self.types = tuple(types) self.is_refcounted = any(t.is_refcounted for t in self.types) # Generate a unique id which is used in naming corresponding C identifiers. # This is necessary since C does not have anonymous structural type equivalence # in the same way python can just assign a Tuple[int, bool] to a Tuple[int, bool]. self.unique_id = self.accept(TupleNameVisitor()) # Nominally the max c length is 31 chars, but I'm not honestly worried about this. self.struct_name = f"tuple_{self.unique_id}" self._ctype = f"{self.struct_name}" self.error_overlap = all(t.error_overlap for t in self.types) and bool(self.types) def accept(self, visitor: RTypeVisitor[T]) -> T: return visitor.visit_rtuple(self) @property def may_be_immortal(self) -> bool: return False def __str__(self) -> str: return "tuple[%s]" % ", ".join(str(typ) for typ in self.types) def __repr__(self) -> str: return "" % ", ".join(repr(typ) for typ in self.types) def __eq__(self, other: object) -> TypeGuard[RTuple]: return isinstance(other, RTuple) and self.types == other.types def __hash__(self) -> int: return hash((self.name, self.types)) def serialize(self) -> JsonDict: types = [x.serialize() for x in self.types] return {".class": "RTuple", "types": types} @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> RTuple: types = [deserialize_type(t, ctx) for t in data["types"]] return RTuple(types) # Exception tuple: (exception class, exception instance, traceback object) exc_rtuple = RTuple([object_rprimitive, object_rprimitive, object_rprimitive]) # Dictionary iterator tuple: (should continue, internal offset, key, value) # See mypyc.irbuild.for_helpers.ForDictionaryCommon for more details. dict_next_rtuple_pair = RTuple( [bool_rprimitive, short_int_rprimitive, object_rprimitive, object_rprimitive] ) # Same as above but just for key or value. dict_next_rtuple_single = RTuple([bool_rprimitive, short_int_rprimitive, object_rprimitive]) def compute_rtype_alignment(typ: RType) -> int: """Compute alignment of a given type based on platform alignment rule""" platform_alignment = PLATFORM_SIZE if isinstance(typ, RPrimitive): return typ.size elif isinstance(typ, RInstance): return platform_alignment elif isinstance(typ, RUnion): return platform_alignment elif isinstance(typ, RArray): return compute_rtype_alignment(typ.item_type) else: if isinstance(typ, RTuple): items = list(typ.types) elif isinstance(typ, RStruct): items = typ.types else: assert False, "invalid rtype for computing alignment" max_alignment = max(compute_rtype_alignment(item) for item in items) return max_alignment def compute_rtype_size(typ: RType) -> int: """Compute unaligned size of rtype""" if isinstance(typ, RPrimitive): return typ.size elif isinstance(typ, RTuple): return compute_aligned_offsets_and_size(list(typ.types))[1] elif isinstance(typ, RUnion): return PLATFORM_SIZE elif isinstance(typ, RStruct): return compute_aligned_offsets_and_size(typ.types)[1] elif isinstance(typ, RInstance): return PLATFORM_SIZE elif isinstance(typ, RArray): alignment = compute_rtype_alignment(typ) aligned_size = (compute_rtype_size(typ.item_type) + (alignment - 1)) & ~(alignment - 1) return aligned_size * typ.length else: assert False, "invalid rtype for computing size" def compute_aligned_offsets_and_size(types: list[RType]) -> tuple[list[int], int]: """Compute offsets and total size of a list of types after alignment Note that the types argument are types of values that are stored sequentially with platform default alignment. """ unaligned_sizes = [compute_rtype_size(typ) for typ in types] alignments = [compute_rtype_alignment(typ) for typ in types] current_offset = 0 offsets = [] final_size = 0 for i in range(len(unaligned_sizes)): offsets.append(current_offset) if i + 1 < len(unaligned_sizes): cur_size = unaligned_sizes[i] current_offset += cur_size next_alignment = alignments[i + 1] # compute aligned offset, # check https://en.wikipedia.org/wiki/Data_structure_alignment for more information current_offset = (current_offset + (next_alignment - 1)) & -next_alignment else: struct_alignment = max(alignments) final_size = current_offset + unaligned_sizes[i] final_size = (final_size + (struct_alignment - 1)) & -struct_alignment return offsets, final_size @final class RStruct(RType): """C struct type""" def __init__(self, name: str, names: list[str], types: list[RType]) -> None: self.name = name self.names = names self.types = types # generate dummy names if len(self.names) < len(self.types): for i in range(len(self.types) - len(self.names)): self.names.append("_item" + str(i)) self.offsets, self.size = compute_aligned_offsets_and_size(types) self._ctype = name def accept(self, visitor: RTypeVisitor[T]) -> T: return visitor.visit_rstruct(self) @property def may_be_immortal(self) -> bool: return False def __str__(self) -> str: # if not tuple(unnamed structs) return "{}{{{}}}".format( self.name, ", ".join(name + ":" + str(typ) for name, typ in zip(self.names, self.types)), ) def __repr__(self) -> str: return "".format( self.name, ", ".join(name + ":" + repr(typ) for name, typ in zip(self.names, self.types)), ) def __eq__(self, other: object) -> TypeGuard[RStruct]: return ( isinstance(other, RStruct) and self.name == other.name and self.names == other.names and self.types == other.types ) def __hash__(self) -> int: return hash((self.name, tuple(self.names), tuple(self.types))) def serialize(self) -> JsonDict: assert False @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> RStruct: assert False @final class RInstance(RType): """Instance of user-defined class (compiled to C extension class). The runtime representation is 'PyObject *', and these are always boxed and thus reference-counted. These support fast method calls and fast attribute access using vtables, and they usually use a dict-free, struct-based representation of attributes. Method calls and attribute access can skip the vtable if we know that there is no overriding. These are also sometimes called 'native' types, since these have the most efficient representation and ops (along with certain RPrimitive types and RTuple). """ is_unboxed = False def __init__(self, class_ir: ClassIR) -> None: # name is used for formatting the name in messages and debug output # so we want the fullname for precision. self.name = class_ir.fullname self.class_ir = class_ir self._ctype = "PyObject *" def accept(self, visitor: RTypeVisitor[T]) -> T: return visitor.visit_rinstance(self) @property def may_be_immortal(self) -> bool: return False def struct_name(self, names: NameGenerator) -> str: return self.class_ir.struct_name(names) def getter_index(self, name: str) -> int: return self.class_ir.vtable_entry(name) def setter_index(self, name: str) -> int: return self.getter_index(name) + 1 def method_index(self, name: str) -> int: return self.class_ir.vtable_entry(name) def attr_type(self, name: str) -> RType: return self.class_ir.attr_type(name) def __repr__(self) -> str: return "" % self.name def __eq__(self, other: object) -> TypeGuard[RInstance]: return isinstance(other, RInstance) and other.name == self.name def __hash__(self) -> int: return hash(self.name) def serialize(self) -> str: return self.name @final class RUnion(RType): """union[x, ..., y]""" is_unboxed = False def __init__(self, items: list[RType]) -> None: self.name = "union" self.items = items self.items_set = frozenset(items) self._ctype = "PyObject *" @staticmethod def make_simplified_union(items: list[RType]) -> RType: """Return a normalized union that covers the given items. Flatten nested unions and remove duplicate items. Overlapping items are *not* simplified. For example, [object, str] will not be simplified. """ items = flatten_nested_unions(items) assert items unique_items = dict.fromkeys(items) if len(unique_items) > 1: return RUnion(list(unique_items)) else: return next(iter(unique_items)) def accept(self, visitor: RTypeVisitor[T]) -> T: return visitor.visit_runion(self) @property def may_be_immortal(self) -> bool: return any(item.may_be_immortal for item in self.items) def __repr__(self) -> str: return "" % ", ".join(str(item) for item in self.items) def __str__(self) -> str: return "union[%s]" % ", ".join(str(item) for item in self.items) # We compare based on the set because order in a union doesn't matter def __eq__(self, other: object) -> TypeGuard[RUnion]: return isinstance(other, RUnion) and self.items_set == other.items_set def __hash__(self) -> int: return hash(("union", self.items_set)) def serialize(self) -> JsonDict: types = [x.serialize() for x in self.items] return {".class": "RUnion", "types": types} @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> RUnion: types = [deserialize_type(t, ctx) for t in data["types"]] return RUnion(types) def flatten_nested_unions(types: list[RType]) -> list[RType]: if not any(isinstance(t, RUnion) for t in types): return types # Fast path flat_items: list[RType] = [] for t in types: if isinstance(t, RUnion): flat_items.extend(flatten_nested_unions(t.items)) else: flat_items.append(t) return flat_items def optional_value_type(rtype: RType) -> RType | None: """If rtype is the union of none_rprimitive and another type X, return X. Otherwise, return None. """ if isinstance(rtype, RUnion) and len(rtype.items) == 2: if rtype.items[0] == none_rprimitive: return rtype.items[1] elif rtype.items[1] == none_rprimitive: return rtype.items[0] return None def is_optional_type(rtype: RType) -> TypeGuard[RUnion]: """Is rtype an optional type with exactly two union items?""" return optional_value_type(rtype) is not None @final class RArray(RType): """Fixed-length C array type (for example, int[5]). Note that the implementation is a bit limited, and these can basically be only used for local variables that are initialized in one location. """ def __init__(self, item_type: RType, length: int) -> None: self.item_type = item_type # Number of items self.length = length self.is_refcounted = False def accept(self, visitor: RTypeVisitor[T]) -> T: return visitor.visit_rarray(self) @property def may_be_immortal(self) -> bool: return False def __str__(self) -> str: return f"{self.item_type}[{self.length}]" def __repr__(self) -> str: return f"" def __eq__(self, other: object) -> TypeGuard[RArray]: return ( isinstance(other, RArray) and self.item_type == other.item_type and self.length == other.length ) def __hash__(self) -> int: return hash((self.item_type, self.length)) def serialize(self) -> JsonDict: assert False @classmethod def deserialize(cls, data: JsonDict, ctx: DeserMaps) -> RArray: assert False PyObject = RStruct( name="PyObject", names=["ob_refcnt", "ob_type"], types=[c_pyssize_t_rprimitive, pointer_rprimitive], ) PyVarObject = RStruct( name="PyVarObject", names=["ob_base", "ob_size"], types=[PyObject, c_pyssize_t_rprimitive] ) setentry = RStruct( name="setentry", names=["key", "hash"], types=[pointer_rprimitive, c_pyssize_t_rprimitive] ) smalltable = RStruct(name="smalltable", names=[], types=[setentry] * 8) PySetObject = RStruct( name="PySetObject", names=[ "ob_base", "fill", "used", "mask", "table", "hash", "finger", "smalltable", "weakreflist", ], types=[ PyObject, c_pyssize_t_rprimitive, c_pyssize_t_rprimitive, c_pyssize_t_rprimitive, pointer_rprimitive, c_pyssize_t_rprimitive, c_pyssize_t_rprimitive, smalltable, pointer_rprimitive, ], ) PyListObject = RStruct( name="PyListObject", names=["ob_base", "ob_item", "allocated"], types=[PyVarObject, pointer_rprimitive, c_pyssize_t_rprimitive], ) def check_native_int_range(rtype: RPrimitive, n: int) -> bool: """Is n within the range of a native, fixed-width int type? Assume the type is a fixed-width int type. """ if not rtype.is_signed: return 0 <= n < (1 << (8 * rtype.size)) else: limit = 1 << (rtype.size * 8 - 1) return -limit <= n < limit ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.643766 mypy-1.19.0/mypyc/irbuild/0000755000175100017510000000000015112310012015023 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/__init__.py0000644000175100017510000000000015112307767017151 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/ast_helpers.py0000644000175100017510000001034715112307767017742 0ustar00runnerrunner"""IRBuilder AST transform helpers shared between expressions and statements. Shared code that is tightly coupled to mypy ASTs can be put here instead of making mypyc.irbuild.builder larger. """ from __future__ import annotations from mypy.nodes import ( LDEF, BytesExpr, ComparisonExpr, Expression, FloatExpr, IntExpr, MemberExpr, NameExpr, OpExpr, StrExpr, UnaryExpr, Var, ) from mypyc.ir.ops import BasicBlock from mypyc.ir.rtypes import is_fixed_width_rtype, is_tagged from mypyc.irbuild.builder import IRBuilder from mypyc.irbuild.constant_fold import constant_fold_expr def process_conditional( self: IRBuilder, e: Expression, true: BasicBlock, false: BasicBlock ) -> None: if isinstance(e, OpExpr) and e.op in ["and", "or"]: if e.op == "and": # Short circuit 'and' in a conditional context. new = BasicBlock() process_conditional(self, e.left, new, false) self.activate_block(new) process_conditional(self, e.right, true, false) else: # Short circuit 'or' in a conditional context. new = BasicBlock() process_conditional(self, e.left, true, new) self.activate_block(new) process_conditional(self, e.right, true, false) elif isinstance(e, UnaryExpr) and e.op == "not": process_conditional(self, e.expr, false, true) else: res = maybe_process_conditional_comparison(self, e, true, false) if res: return # Catch-all for arbitrary expressions. reg = self.accept(e) self.add_bool_branch(reg, true, false) def maybe_process_conditional_comparison( self: IRBuilder, e: Expression, true: BasicBlock, false: BasicBlock ) -> bool: """Transform simple tagged integer comparisons in a conditional context. Return True if the operation is supported (and was transformed). Otherwise, do nothing and return False. Args: self: IR form Builder e: Arbitrary expression true: Branch target if comparison is true false: Branch target if comparison is false """ if not isinstance(e, ComparisonExpr) or len(e.operands) != 2: return False ltype = self.node_type(e.operands[0]) rtype = self.node_type(e.operands[1]) if not ( (is_tagged(ltype) or is_fixed_width_rtype(ltype)) and (is_tagged(rtype) or is_fixed_width_rtype(rtype)) ): return False op = e.operators[0] if op not in ("==", "!=", "<", "<=", ">", ">="): return False left_expr = e.operands[0] right_expr = e.operands[1] borrow_left = is_borrow_friendly_expr(self, right_expr) left = self.accept(left_expr, can_borrow=borrow_left) right = self.accept(right_expr, can_borrow=True) if is_fixed_width_rtype(ltype) or is_fixed_width_rtype(rtype): if not is_fixed_width_rtype(ltype): left = self.coerce(left, rtype, e.line) elif not is_fixed_width_rtype(rtype): right = self.coerce(right, ltype, e.line) reg = self.binary_op(left, right, op, e.line) self.builder.flush_keep_alives() self.add_bool_branch(reg, true, false) else: # "left op right" for two tagged integers reg = self.builder.binary_op(left, right, op, e.line) self.flush_keep_alives() self.add_bool_branch(reg, true, false) return True def is_borrow_friendly_expr(self: IRBuilder, expr: Expression) -> bool: """Can the result of the expression borrowed temporarily? Borrowing means keeping a reference without incrementing the reference count. """ if isinstance(expr, (IntExpr, FloatExpr, StrExpr, BytesExpr)): # Literals are immortal and can always be borrowed return True if ( isinstance(expr, (UnaryExpr, OpExpr, NameExpr, MemberExpr)) and constant_fold_expr(self, expr) is not None ): # Literal expressions are similar to literals return True if isinstance(expr, NameExpr): if isinstance(expr.node, Var) and expr.kind == LDEF: # Local variable reference can be borrowed return True if isinstance(expr, MemberExpr) and self.is_native_attr_ref(expr): return True return False ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/builder.py0000644000175100017510000017711215112307767017063 0ustar00runnerrunner"""Builder class to transform a mypy AST to the IR form. See the docstring of class IRBuilder for more information. """ from __future__ import annotations from collections.abc import Iterator, Sequence from contextlib import contextmanager from typing import Any, Callable, Final, Union, overload from mypy.build import Graph from mypy.maptype import map_instance_to_supertype from mypy.nodes import ( ARG_NAMED, ARG_POS, GDEF, LDEF, PARAM_SPEC_KIND, TYPE_VAR_KIND, TYPE_VAR_TUPLE_KIND, ArgKind, CallExpr, Decorator, Expression, FuncDef, IndexExpr, IntExpr, Lvalue, MemberExpr, MypyFile, NameExpr, OpExpr, OverloadedFuncDef, RefExpr, StarExpr, Statement, SymbolNode, TupleExpr, TypeAlias, TypeInfo, TypeParam, Var, ) from mypy.types import ( AnyType, DeletedType, Instance, ProperType, TupleType, Type, TypedDictType, TypeOfAny, TypeVarLikeType, UninhabitedType, UnionType, get_proper_type, ) from mypy.util import module_prefix, split_target from mypy.visitor import ExpressionVisitor, StatementVisitor from mypyc.common import BITMAP_BITS, GENERATOR_ATTRIBUTE_PREFIX, SELF_NAME, TEMP_ATTR_NAME from mypyc.crash import catch_errors from mypyc.errors import Errors from mypyc.ir.class_ir import ClassIR, NonExtClassInfo from mypyc.ir.func_ir import INVALID_FUNC_DEF, FuncDecl, FuncIR, FuncSignature, RuntimeArg from mypyc.ir.ops import ( NAMESPACE_MODULE, NAMESPACE_TYPE_VAR, Assign, BasicBlock, Branch, ComparisonOp, GetAttr, InitStatic, Integer, IntOp, LoadStatic, MethodCall, Op, PrimitiveDescription, RaiseStandardError, Register, SetAttr, TupleGet, Unreachable, Value, ) from mypyc.ir.rtypes import ( RInstance, RTuple, RType, RUnion, bitmap_rprimitive, bytes_rprimitive, c_pyssize_t_rprimitive, dict_rprimitive, int_rprimitive, is_float_rprimitive, is_list_rprimitive, is_none_rprimitive, is_object_rprimitive, is_tagged, is_tuple_rprimitive, none_rprimitive, object_rprimitive, str_rprimitive, ) from mypyc.irbuild.constant_fold import constant_fold_expr from mypyc.irbuild.context import FuncInfo, ImplicitClass from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.irbuild.mapper import Mapper from mypyc.irbuild.nonlocalcontrol import ( BaseNonlocalControl, GeneratorNonlocalControl, LoopNonlocalControl, NonlocalControl, ) from mypyc.irbuild.prebuildvisitor import PreBuildVisitor from mypyc.irbuild.prepare import RegisterImplInfo from mypyc.irbuild.targets import ( AssignmentTarget, AssignmentTargetAttr, AssignmentTargetIndex, AssignmentTargetRegister, AssignmentTargetTuple, ) from mypyc.irbuild.util import bytes_from_str, is_constant from mypyc.options import CompilerOptions from mypyc.primitives.dict_ops import dict_get_item_op, dict_set_item_op from mypyc.primitives.generic_ops import iter_op, next_op, py_setattr_op from mypyc.primitives.list_ops import list_get_item_unsafe_op, list_pop_last, to_list from mypyc.primitives.misc_ops import check_unpack_count_op, get_module_dict_op, import_op from mypyc.primitives.registry import CFunctionDescription, function_ops from mypyc.primitives.tuple_ops import tuple_get_item_unsafe_op # These int binary operations can borrow their operands safely, since the # primitives take this into consideration. int_borrow_friendly_op: Final = {"+", "-", "==", "!=", "<", "<=", ">", ">="} class IRVisitor(ExpressionVisitor[Value], StatementVisitor[None]): pass class UnsupportedException(Exception): pass SymbolTarget = Union[AssignmentTargetRegister, AssignmentTargetAttr] class IRBuilder: """Builder class used to construct mypyc IR from a mypy AST. The IRBuilder class maintains IR transformation state and provides access to various helpers used to implement the transform. mypyc.irbuild.visitor.IRBuilderVisitor is used to dispatch based on mypy AST node type to code that actually does the bulk of the work. For example, expressions are transformed in mypyc.irbuild.expression and functions are transformed in mypyc.irbuild.function. Use the "accept()" method to translate individual mypy AST nodes to IR. Other methods are used to generate IR for various lower-level operations. This class wraps the lower-level LowLevelIRBuilder class, an instance of which is available through the "builder" attribute. The low-level builder class doesn't have any knowledge of the mypy AST. Wrappers for some LowLevelIRBuilder method are provided for convenience, but others can also be accessed via the "builder" attribute. See also: * The mypyc IR is defined in the mypyc.ir package. * The top-level IR transform control logic is in mypyc.irbuild.main. """ def __init__( self, current_module: str, types: dict[Expression, Type], graph: Graph, errors: Errors, mapper: Mapper, pbv: PreBuildVisitor, visitor: IRVisitor, options: CompilerOptions, singledispatch_impls: dict[FuncDef, list[RegisterImplInfo]], ) -> None: self.builder = LowLevelIRBuilder(errors, options) self.builders = [self.builder] self.symtables: list[dict[SymbolNode, SymbolTarget]] = [{}] self.runtime_args: list[list[RuntimeArg]] = [[]] self.function_name_stack: list[str] = [] self.class_ir_stack: list[ClassIR] = [] # Keep track of whether the next statement in a block is reachable # or not, separately for each block nesting level self.block_reachable_stack: list[bool] = [True] self.current_module = current_module self.mapper = mapper self.types = types self.graph = graph self.ret_types: list[RType] = [] self.functions: list[FuncIR] = [] self.function_names: set[tuple[str | None, str]] = set() self.classes: list[ClassIR] = [] self.final_names: list[tuple[str, RType]] = [] self.type_var_names: list[str] = [] self.callable_class_names: set[str] = set() self.options = options # These variables keep track of the number of lambdas, implicit indices, and implicit # iterators instantiated so we avoid name conflicts. The indices and iterators are # instantiated from for-loops. self.lambda_counter = 0 self.temp_counter = 0 # These variables are populated from the first-pass PreBuildVisitor. self.free_variables = pbv.free_variables self.prop_setters = pbv.prop_setters self.encapsulating_funcs = pbv.encapsulating_funcs self.nested_fitems = pbv.nested_funcs.keys() self.fdefs_to_decorators = pbv.funcs_to_decorators self.module_import_groups = pbv.module_import_groups self.singledispatch_impls = singledispatch_impls self.visitor = visitor # This list operates similarly to a function call stack for nested functions. Whenever a # function definition begins to be generated, a FuncInfo instance is added to the stack, # and information about that function (e.g. whether it is nested, its environment class to # be generated) is stored in that FuncInfo instance. When the function is done being # generated, its corresponding FuncInfo is popped off the stack. self.fn_info = FuncInfo(INVALID_FUNC_DEF, "", "") self.fn_infos: list[FuncInfo] = [self.fn_info] # This list operates as a stack of constructs that modify the # behavior of nonlocal control flow constructs. self.nonlocal_control: list[NonlocalControl] = [] self.errors = errors # Notionally a list of all of the modules imported by the # module being compiled, but stored as an OrderedDict so we # can also do quick lookups. self.imports: dict[str, None] = {} self.can_borrow = False # High-level control def set_module(self, module_name: str, module_path: str) -> None: """Set the name and path of the current module. This must be called before transforming any AST nodes. """ self.module_name = module_name self.module_path = module_path self.builder.set_module(module_name, module_path) @overload def accept(self, node: Expression, *, can_borrow: bool = False) -> Value: ... @overload def accept(self, node: Statement) -> None: ... def accept(self, node: Statement | Expression, *, can_borrow: bool = False) -> Value | None: """Transform an expression or a statement. If can_borrow is true, prefer to generate a borrowed reference. Borrowed references are faster since they don't require reference count manipulation, but they are only safe to use in specific contexts. """ with self.catch_errors(node.line): if isinstance(node, Expression): old_can_borrow = self.can_borrow self.can_borrow = can_borrow try: res = node.accept(self.visitor) res = self.coerce(res, self.node_type(node), node.line) # If we hit an error during compilation, we want to # keep trying, so we can produce more error # messages. Generate a temp of the right type to keep # from causing more downstream trouble. except UnsupportedException: res = Register(self.node_type(node)) self.can_borrow = old_can_borrow if not can_borrow: self.flush_keep_alives() return res else: try: node.accept(self.visitor) except UnsupportedException: pass return None def flush_keep_alives(self) -> None: self.builder.flush_keep_alives() # Pass through methods for the most common low-level builder ops, for convenience. def add(self, op: Op) -> Value: return self.builder.add(op) def goto(self, target: BasicBlock) -> None: self.builder.goto(target) def activate_block(self, block: BasicBlock) -> None: self.builder.activate_block(block) def goto_and_activate(self, block: BasicBlock) -> None: self.builder.goto_and_activate(block) def self(self) -> Register: return self.builder.self() def py_get_attr(self, obj: Value, attr: str, line: int) -> Value: return self.builder.py_get_attr(obj, attr, line) def load_str(self, value: str) -> Value: return self.builder.load_str(value) def load_bytes_from_str_literal(self, value: str) -> Value: """Load bytes object from a string literal. The literal characters of BytesExpr (the characters inside b'') are stored in BytesExpr.value, whose type is 'str' not 'bytes'. Thus we perform a special conversion here. """ return self.builder.load_bytes(bytes_from_str(value)) def load_int(self, value: int) -> Value: return self.builder.load_int(value) def load_float(self, value: float) -> Value: return self.builder.load_float(value) def unary_op(self, lreg: Value, expr_op: str, line: int) -> Value: return self.builder.unary_op(lreg, expr_op, line) def binary_op(self, lreg: Value, rreg: Value, expr_op: str, line: int) -> Value: return self.builder.binary_op(lreg, rreg, expr_op, line) def coerce(self, src: Value, target_type: RType, line: int, force: bool = False) -> Value: return self.builder.coerce(src, target_type, line, force, can_borrow=self.can_borrow) def none_object(self) -> Value: return self.builder.none_object() def none(self) -> Value: return self.builder.none() def true(self) -> Value: return self.builder.true() def false(self) -> Value: return self.builder.false() def new_list_op(self, values: list[Value], line: int) -> Value: return self.builder.new_list_op(values, line) def new_set_op(self, values: list[Value], line: int) -> Value: return self.builder.new_set_op(values, line) def translate_is_op(self, lreg: Value, rreg: Value, expr_op: str, line: int) -> Value: return self.builder.translate_is_op(lreg, rreg, expr_op, line) def py_call( self, function: Value, arg_values: list[Value], line: int, arg_kinds: list[ArgKind] | None = None, arg_names: Sequence[str | None] | None = None, ) -> Value: return self.builder.py_call(function, arg_values, line, arg_kinds, arg_names) def add_bool_branch(self, value: Value, true: BasicBlock, false: BasicBlock) -> None: self.builder.add_bool_branch(value, true, false) def load_native_type_object(self, fullname: str) -> Value: return self.builder.load_native_type_object(fullname) def gen_method_call( self, base: Value, name: str, arg_values: list[Value], result_type: RType | None, line: int, arg_kinds: list[ArgKind] | None = None, arg_names: list[str | None] | None = None, ) -> Value: return self.builder.gen_method_call( base, name, arg_values, result_type, line, arg_kinds, arg_names, self.can_borrow ) def load_module(self, name: str) -> Value: return self.builder.load_module(name) def call_c(self, desc: CFunctionDescription, args: list[Value], line: int) -> Value: return self.builder.call_c(desc, args, line) def primitive_op( self, desc: PrimitiveDescription, args: list[Value], line: int, result_type: RType | None = None, ) -> Value: return self.builder.primitive_op(desc, args, line, result_type) def int_op(self, type: RType, lhs: Value, rhs: Value, op: int, line: int) -> Value: return self.builder.int_op(type, lhs, rhs, op, line) def compare_tuples(self, lhs: Value, rhs: Value, op: str, line: int) -> Value: return self.builder.compare_tuples(lhs, rhs, op, line) def builtin_len(self, val: Value, line: int) -> Value: return self.builder.builtin_len(val, line) def new_tuple(self, items: list[Value], line: int) -> Value: return self.builder.new_tuple(items, line) def debug_print(self, toprint: str | Value) -> None: return self.builder.debug_print(toprint) def set_immortal_if_free_threaded(self, v: Value, line: int) -> None: """Make an object immortal on free-threaded builds (to avoid contention).""" self.builder.set_immortal_if_free_threaded(v, line) # Helpers for IR building def add_to_non_ext_dict( self, non_ext: NonExtClassInfo, key: str, val: Value, line: int ) -> None: # Add an attribute entry into the class dict of a non-extension class. key_unicode = self.load_str(key) self.primitive_op(dict_set_item_op, [non_ext.dict, key_unicode, val], line) # It's important that accessing class dictionary items from multiple threads # doesn't cause contention. self.builder.set_immortal_if_free_threaded(val, line) def gen_import(self, id: str, line: int) -> None: self.imports[id] = None needs_import, out = BasicBlock(), BasicBlock() self.check_if_module_loaded(id, line, needs_import, out) self.activate_block(needs_import) value = self.call_c(import_op, [self.load_str(id)], line) self.add(InitStatic(value, id, namespace=NAMESPACE_MODULE)) self.goto_and_activate(out) def check_if_module_loaded( self, id: str, line: int, needs_import: BasicBlock, out: BasicBlock ) -> None: """Generate code that checks if the module `id` has been loaded yet. Arguments: id: name of module to check if imported line: line number that the import occurs on needs_import: the BasicBlock that is run if the module has not been loaded yet out: the BasicBlock that is run if the module has already been loaded""" first_load = self.load_module(id) comparison = self.translate_is_op(first_load, self.none_object(), "is not", line) self.add_bool_branch(comparison, out, needs_import) def get_module(self, module: str, line: int) -> Value: # Python 3.7 has a nice 'PyImport_GetModule' function that we can't use :( mod_dict = self.call_c(get_module_dict_op, [], line) # Get module object from modules dict. return self.primitive_op(dict_get_item_op, [mod_dict, self.load_str(module)], line) def get_module_attr(self, module: str, attr: str, line: int) -> Value: """Look up an attribute of a module without storing it in the local namespace. For example, get_module_attr('typing', 'TypedDict', line) results in the value of 'typing.TypedDict'. Import the module if needed. """ self.gen_import(module, line) module_obj = self.get_module(module, line) return self.py_get_attr(module_obj, attr, line) def assign_if_null(self, target: Register, get_val: Callable[[], Value], line: int) -> None: """If target is NULL, assign value produced by get_val to it.""" error_block, body_block = BasicBlock(), BasicBlock() self.add(Branch(target, error_block, body_block, Branch.IS_ERROR)) self.activate_block(error_block) self.add(Assign(target, self.coerce(get_val(), target.type, line))) self.goto(body_block) self.activate_block(body_block) def assign_if_bitmap_unset( self, target: Register, get_val: Callable[[], Value], index: int, line: int ) -> None: error_block, body_block = BasicBlock(), BasicBlock() o = self.int_op( bitmap_rprimitive, self.builder.args[-1 - index // BITMAP_BITS], Integer(1 << (index & (BITMAP_BITS - 1)), bitmap_rprimitive), IntOp.AND, line, ) b = self.add(ComparisonOp(o, Integer(0, bitmap_rprimitive), ComparisonOp.EQ)) self.add(Branch(b, error_block, body_block, Branch.BOOL)) self.activate_block(error_block) self.add(Assign(target, self.coerce(get_val(), target.type, line))) self.goto(body_block) self.activate_block(body_block) def maybe_add_implicit_return(self) -> None: if is_none_rprimitive(self.ret_types[-1]) or is_object_rprimitive(self.ret_types[-1]): self.add_implicit_return() else: self.add_implicit_unreachable() def add_implicit_return(self) -> None: block = self.builder.blocks[-1] if not block.terminated: retval = self.coerce(self.builder.none(), self.ret_types[-1], -1) self.nonlocal_control[-1].gen_return(self, retval, self.fn_info.fitem.line) def add_implicit_unreachable(self) -> None: block = self.builder.blocks[-1] if not block.terminated: self.add(Unreachable()) def disallow_class_assignments(self, lvalues: list[Lvalue], line: int) -> None: # Some best-effort attempts to disallow assigning to class # variables that aren't marked ClassVar, since we blatantly # miscompile the interaction between instance and class # variables. for lvalue in lvalues: if ( isinstance(lvalue, MemberExpr) and isinstance(lvalue.expr, RefExpr) and isinstance(lvalue.expr.node, TypeInfo) ): var = lvalue.expr.node[lvalue.name].node if isinstance(var, Var) and not var.is_classvar: self.error("Only class variables defined as ClassVar can be assigned to", line) def non_function_scope(self) -> bool: # Currently the stack always has at least two items: dummy and top-level. return len(self.fn_infos) <= 2 def top_level_fn_info(self) -> FuncInfo | None: if self.non_function_scope(): return None return self.fn_infos[2] def init_final_static( self, lvalue: Lvalue, rvalue_reg: Value, class_name: str | None = None, *, type_override: RType | None = None, ) -> None: assert isinstance(lvalue, NameExpr), lvalue assert isinstance(lvalue.node, Var), lvalue.node if lvalue.node.final_value is None: if class_name is None: name = lvalue.name else: name = f"{class_name}.{lvalue.name}" assert name is not None, "Full name not set for variable" coerced = self.coerce(rvalue_reg, type_override or self.node_type(lvalue), lvalue.line) self.final_names.append((name, coerced.type)) self.add(InitStatic(coerced, name, self.module_name)) def load_final_static( self, fullname: str, typ: RType, line: int, error_name: str | None = None ) -> Value: split_name = split_target(self.graph, fullname) assert split_name is not None module, name = split_name return self.builder.load_static_checked( typ, name, module, line=line, error_msg=f'value for final name "{error_name}" was not set', ) def init_type_var(self, value: Value, name: str, line: int) -> None: unique_name = name + "___" + str(line) self.type_var_names.append(unique_name) self.add(InitStatic(value, unique_name, self.module_name, namespace=NAMESPACE_TYPE_VAR)) def load_type_var(self, name: str, line: int) -> Value: return self.add( LoadStatic( object_rprimitive, name + "___" + str(line), self.module_name, namespace=NAMESPACE_TYPE_VAR, ) ) def load_literal_value(self, val: int | str | bytes | float | complex | bool) -> Value: """Load value of a final name, class-level attribute, or constant folded expression.""" if isinstance(val, bool): if val: return self.true() else: return self.false() elif isinstance(val, int): return self.builder.load_int(val) elif isinstance(val, float): return self.builder.load_float(val) elif isinstance(val, str): return self.builder.load_str(val) elif isinstance(val, bytes): return self.builder.load_bytes(val) elif isinstance(val, complex): return self.builder.load_complex(val) else: assert False, "Unsupported literal value" def get_assignment_target( self, lvalue: Lvalue, line: int = -1, *, for_read: bool = False ) -> AssignmentTarget: if line == -1: line = lvalue.line if isinstance(lvalue, NameExpr): # If we are visiting a decorator, then the SymbolNode we really want to be looking at # is the function that is decorated, not the entire Decorator node itself. symbol = lvalue.node if isinstance(symbol, Decorator): symbol = symbol.func if symbol is None: # Semantic analyzer doesn't create ad-hoc Vars for special forms. assert lvalue.is_special_form symbol = Var(lvalue.name) if not for_read and isinstance(symbol, Var) and symbol.is_cls: self.error("Cannot assign to the first argument of classmethod", line) if lvalue.kind == LDEF: if symbol not in self.symtables[-1]: if isinstance(symbol, Var) and not isinstance(symbol.type, DeletedType): reg_type = self.type_to_rtype(symbol.type) else: reg_type = self.node_type(lvalue) # If the function is a generator function, then first define a new variable # in the current function's environment class. Next, define a target that # refers to the newly defined variable in that environment class. Add the # target to the table containing class environment variables, as well as the # current environment. if self.fn_info.is_generator: return self.add_var_to_env_class( symbol, reg_type, self.fn_info.generator_class, reassign=False, prefix=GENERATOR_ATTRIBUTE_PREFIX, ) # Otherwise define a new local variable. return self.add_local_reg(symbol, reg_type) else: # Assign to a previously defined variable. return self.lookup(symbol) elif lvalue.kind == GDEF: globals_dict = self.load_globals_dict() name = self.load_str(lvalue.name) return AssignmentTargetIndex(globals_dict, name) else: assert False, lvalue.kind elif isinstance(lvalue, IndexExpr): # Indexed assignment x[y] = e base = self.accept(lvalue.base) index = self.accept(lvalue.index) return AssignmentTargetIndex(base, index) elif isinstance(lvalue, MemberExpr): # Attribute assignment x.y = e can_borrow = self.is_native_attr_ref(lvalue) obj = self.accept(lvalue.expr, can_borrow=can_borrow) return AssignmentTargetAttr(obj, lvalue.name, can_borrow=can_borrow) elif isinstance(lvalue, TupleExpr): # Multiple assignment a, ..., b = e star_idx: int | None = None lvalues = [] for idx, item in enumerate(lvalue.items): targ = self.get_assignment_target(item) lvalues.append(targ) if isinstance(item, StarExpr): if star_idx is not None: self.error("Two starred expressions in assignment", line) star_idx = idx return AssignmentTargetTuple(lvalues, star_idx) elif isinstance(lvalue, StarExpr): return self.get_assignment_target(lvalue.expr) assert False, "Unsupported lvalue: %r" % lvalue def read( self, target: Value | AssignmentTarget, line: int = -1, *, can_borrow: bool = False, allow_error_value: bool = False, ) -> Value: if isinstance(target, Value): return target if isinstance(target, AssignmentTargetRegister): return target.register if isinstance(target, AssignmentTargetIndex): reg = self.gen_method_call( target.base, "__getitem__", [target.index], target.type, line ) if reg is not None: return reg assert False, target.base.type if isinstance(target, AssignmentTargetAttr): if isinstance(target.obj.type, RInstance) and target.obj.type.class_ir.is_ext_class: borrow = can_borrow and target.can_borrow return self.add( GetAttr( target.obj, target.attr, line, borrow=borrow, allow_error_value=allow_error_value, ) ) else: return self.py_get_attr(target.obj, target.attr, line) assert False, "Unsupported lvalue: %r" % target def read_nullable_attr(self, obj: Value, attr: str, line: int = -1) -> Value: """Read an attribute that might have an error value without raising AttributeError.""" assert isinstance(obj.type, RInstance) and obj.type.class_ir.is_ext_class return self.add(GetAttr(obj, attr, line, allow_error_value=True)) def assign(self, target: Register | AssignmentTarget, rvalue_reg: Value, line: int) -> None: if isinstance(target, Register): self.add(Assign(target, self.coerce_rvalue(rvalue_reg, target.type, line))) elif isinstance(target, AssignmentTargetRegister): rvalue_reg = self.coerce_rvalue(rvalue_reg, target.type, line) self.add(Assign(target.register, rvalue_reg)) elif isinstance(target, AssignmentTargetAttr): if isinstance(target.obj_type, RInstance): setattr = target.obj_type.class_ir.get_method("__setattr__") if setattr: key = self.load_str(target.attr) boxed_reg = self.builder.box(rvalue_reg) call = MethodCall(target.obj, setattr.name, [key, boxed_reg], line) self.add(call) else: rvalue_reg = self.coerce_rvalue(rvalue_reg, target.type, line) self.add(SetAttr(target.obj, target.attr, rvalue_reg, line)) else: key = self.load_str(target.attr) boxed_reg = self.builder.box(rvalue_reg) self.primitive_op(py_setattr_op, [target.obj, key, boxed_reg], line) elif isinstance(target, AssignmentTargetIndex): target_reg2 = self.gen_method_call( target.base, "__setitem__", [target.index, rvalue_reg], None, line ) assert target_reg2 is not None, target.base.type elif isinstance(target, AssignmentTargetTuple): if isinstance(rvalue_reg.type, RTuple) and target.star_idx is None: rtypes = rvalue_reg.type.types assert len(rtypes) == len(target.items) for i in range(len(rtypes)): item_value = self.add(TupleGet(rvalue_reg, i, line)) self.assign(target.items[i], item_value, line) elif ( is_list_rprimitive(rvalue_reg.type) or is_tuple_rprimitive(rvalue_reg.type) ) and target.star_idx is None: self.process_sequence_assignment(target, rvalue_reg, line) else: self.process_iterator_tuple_assignment(target, rvalue_reg, line) else: assert False, "Unsupported assignment target" def coerce_rvalue(self, rvalue: Value, rtype: RType, line: int) -> Value: if is_float_rprimitive(rtype) and is_tagged(rvalue.type): typename = rvalue.type.short_name() if typename == "short_int": typename = "int" self.error( "Incompatible value representations in assignment " + f'(expression has type "{typename}", variable has type "float")', line, ) return self.coerce(rvalue, rtype, line) def process_sequence_assignment( self, target: AssignmentTargetTuple, rvalue: Value, line: int ) -> None: """Process assignment like 'x, y = s', where s is a variable-length list or tuple.""" # Check the length of sequence. expected_len = Integer(len(target.items), c_pyssize_t_rprimitive) self.builder.call_c(check_unpack_count_op, [rvalue, expected_len], line) # Read sequence items. values = [] for i in range(len(target.items)): item = target.items[i] index: Value if is_list_rprimitive(rvalue.type): index = Integer(i, c_pyssize_t_rprimitive) item_value = self.primitive_op(list_get_item_unsafe_op, [rvalue, index], line) elif is_tuple_rprimitive(rvalue.type): index = Integer(i, c_pyssize_t_rprimitive) item_value = self.call_c(tuple_get_item_unsafe_op, [rvalue, index], line) else: index = self.builder.load_int(i) item_value = self.builder.gen_method_call( rvalue, "__getitem__", [index], item.type, line ) values.append(item_value) # Assign sequence items to the target lvalues. for lvalue, value in zip(target.items, values): self.assign(lvalue, value, line) def process_iterator_tuple_assignment_helper( self, litem: AssignmentTarget, ritem: Value, line: int ) -> None: error_block, ok_block = BasicBlock(), BasicBlock() self.add(Branch(ritem, error_block, ok_block, Branch.IS_ERROR)) self.activate_block(error_block) self.add( RaiseStandardError(RaiseStandardError.VALUE_ERROR, "not enough values to unpack", line) ) self.add(Unreachable()) self.activate_block(ok_block) self.assign(litem, ritem, line) def process_iterator_tuple_assignment( self, target: AssignmentTargetTuple, rvalue_reg: Value, line: int ) -> None: iterator = self.primitive_op(iter_op, [rvalue_reg], line) # This may be the whole lvalue list if there is no starred value split_idx = target.star_idx if target.star_idx is not None else len(target.items) # Assign values before the first starred value for litem in target.items[:split_idx]: ritem = self.call_c(next_op, [iterator], line) error_block, ok_block = BasicBlock(), BasicBlock() self.add(Branch(ritem, error_block, ok_block, Branch.IS_ERROR)) self.activate_block(error_block) self.add( RaiseStandardError( RaiseStandardError.VALUE_ERROR, "not enough values to unpack", line ) ) self.add(Unreachable()) self.activate_block(ok_block) self.assign(litem, ritem, line) # Assign the starred value and all values after it if target.star_idx is not None: post_star_vals = target.items[split_idx + 1 :] iter_list = self.primitive_op(to_list, [iterator], line) iter_list_len = self.builtin_len(iter_list, line) post_star_len = Integer(len(post_star_vals)) condition = self.binary_op(post_star_len, iter_list_len, "<=", line) error_block, ok_block = BasicBlock(), BasicBlock() self.add(Branch(condition, ok_block, error_block, Branch.BOOL)) self.activate_block(error_block) self.add( RaiseStandardError( RaiseStandardError.VALUE_ERROR, "not enough values to unpack", line ) ) self.add(Unreachable()) self.activate_block(ok_block) for litem in reversed(post_star_vals): ritem = self.primitive_op(list_pop_last, [iter_list], line) self.assign(litem, ritem, line) # Assign the starred value self.assign(target.items[target.star_idx], iter_list, line) # There is no starred value, so check if there are extra values in rhs that # have not been assigned. else: extra = self.call_c(next_op, [iterator], line) error_block, ok_block = BasicBlock(), BasicBlock() self.add(Branch(extra, ok_block, error_block, Branch.IS_ERROR)) self.activate_block(error_block) self.add( RaiseStandardError( RaiseStandardError.VALUE_ERROR, "too many values to unpack", line ) ) self.add(Unreachable()) self.activate_block(ok_block) def push_loop_stack(self, continue_block: BasicBlock, break_block: BasicBlock) -> None: self.nonlocal_control.append( LoopNonlocalControl(self.nonlocal_control[-1], continue_block, break_block) ) def pop_loop_stack(self) -> None: self.nonlocal_control.pop() def make_spill_target(self, type: RType) -> AssignmentTarget: """Moves a given Value instance into the generator class' environment class.""" name = f"{TEMP_ATTR_NAME}{self.temp_counter}" self.temp_counter += 1 target = self.add_var_to_env_class(Var(name), type, self.fn_info.generator_class) return target def spill(self, value: Value) -> AssignmentTarget: """Moves a given Value instance into the generator class' environment class.""" target = self.make_spill_target(value.type) # Shouldn't be able to fail, so -1 for line self.assign(target, value, -1) return target def maybe_spill(self, value: Value) -> Value | AssignmentTarget: """ Moves a given Value instance into the environment class for generator functions. For non-generator functions, leaves the Value instance as it is. Returns an AssignmentTarget associated with the Value for generator functions and the original Value itself for non-generator functions. """ if self.fn_info.is_generator: return self.spill(value) return value def maybe_spill_assignable(self, value: Value) -> Register | AssignmentTarget: """ Moves a given Value instance into the environment class for generator functions. For non-generator functions, allocate a temporary Register. Returns an AssignmentTarget associated with the Value for generator functions and an assignable Register for non-generator functions. """ if self.fn_info.is_generator: return self.spill(value) if isinstance(value, Register): return value # Allocate a temporary register for the assignable value. reg = Register(value.type) self.assign(reg, value, -1) return reg def extract_int(self, e: Expression) -> int | None: folded = constant_fold_expr(self, e) return folded if isinstance(folded, int) else None def get_sequence_type(self, expr: Expression) -> RType: return self.get_sequence_type_from_type(self.types[expr]) def get_sequence_type_from_type(self, target_type: Type) -> RType: target_type = get_proper_type(target_type) if isinstance(target_type, UnionType): return RUnion.make_simplified_union( [self.get_sequence_type_from_type(item) for item in target_type.items] ) elif isinstance(target_type, Instance): if target_type.type.fullname == "builtins.str": return str_rprimitive elif target_type.type.fullname == "builtins.bytes": return bytes_rprimitive try: return self.type_to_rtype(target_type.args[0]) except IndexError: raise ValueError(f"{target_type!r} is not a valid sequence.") from None # This elif-blocks are needed for iterating over classes derived from NamedTuple. elif isinstance(target_type, TypeVarLikeType): return self.get_sequence_type_from_type(target_type.upper_bound) elif isinstance(target_type, TupleType): # Tuple might have elements of different types. rtypes = {self.mapper.type_to_rtype(item) for item in target_type.items} if len(rtypes) == 1: return rtypes.pop() else: return RUnion.make_simplified_union(list(rtypes)) assert False, target_type def get_dict_base_type(self, expr: Expression) -> list[Instance]: """Find dict type of a dict-like expression. This is useful for dict subclasses like SymbolTable. """ return self.get_dict_base_type_from_type(self.types[expr]) def get_dict_base_type_from_type(self, target_type: Type) -> list[Instance]: target_type = get_proper_type(target_type) if isinstance(target_type, UnionType): return [ inner for item in target_type.items for inner in self.get_dict_base_type_from_type(item) ] if isinstance(target_type, TypeVarLikeType): # Match behaviour of self.node_type # We can only reach this point if `target_type` was a TypeVar(bound=dict[...]) # or a ParamSpec. return self.get_dict_base_type_from_type(target_type.upper_bound) if isinstance(target_type, TypedDictType): target_type = target_type.fallback dict_base = next( base for base in target_type.type.mro if base.fullname == "typing.Mapping" ) elif isinstance(target_type, Instance): dict_base = next( base for base in target_type.type.mro if base.fullname == "builtins.dict" ) else: assert False, f"Failed to extract dict base from {target_type}" return [map_instance_to_supertype(target_type, dict_base)] def get_dict_key_type(self, expr: Expression) -> RType: dict_base_types = self.get_dict_base_type(expr) rtypes = [self.type_to_rtype(t.args[0]) for t in dict_base_types] return RUnion.make_simplified_union(rtypes) def get_dict_value_type(self, expr: Expression) -> RType: dict_base_types = self.get_dict_base_type(expr) rtypes = [self.type_to_rtype(t.args[1]) for t in dict_base_types] return RUnion.make_simplified_union(rtypes) def get_dict_item_type(self, expr: Expression) -> RType: key_type = self.get_dict_key_type(expr) value_type = self.get_dict_value_type(expr) return RTuple([key_type, value_type]) def _analyze_iterable_item_type(self, expr: Expression) -> Type: """Return the item type given by 'expr' in an iterable context.""" # This logic is copied from mypy's TypeChecker.analyze_iterable_item_type. if expr not in self.types: # Mypy thinks this is unreachable. iterable: ProperType = AnyType(TypeOfAny.from_error) else: iterable = get_proper_type(self.types[expr]) echk = self.graph[self.module_name].type_checker().expr_checker iterator = echk.check_method_call_by_name("__iter__", iterable, [], [], expr)[0] from mypy.join import join_types if isinstance(iterable, TupleType): joined: Type = UninhabitedType() for item in iterable.items: joined = join_types(joined, item) return joined else: # Non-tuple iterable. return echk.check_method_call_by_name("__next__", iterator, [], [], expr)[0] def is_native_module(self, module: str) -> bool: """Is the given module one compiled by mypyc?""" return self.mapper.is_native_module(module) def is_native_ref_expr(self, expr: RefExpr) -> bool: return self.mapper.is_native_ref_expr(expr) def is_native_module_ref_expr(self, expr: RefExpr) -> bool: return self.mapper.is_native_module_ref_expr(expr) def is_synthetic_type(self, typ: TypeInfo) -> bool: """Is a type something other than just a class we've created?""" return typ.is_named_tuple or typ.is_newtype or typ.typeddict_type is not None def get_final_ref(self, expr: MemberExpr) -> tuple[str, Var, bool] | None: """Check if `expr` is a final attribute. This needs to be done differently for class and module attributes to correctly determine fully qualified name. Return a tuple that consists of the qualified name, the corresponding Var node, and a flag indicating whether the final name was defined in a compiled module. Return None if `expr` does not refer to a final attribute. """ final_var = None if isinstance(expr.expr, RefExpr) and isinstance(expr.expr.node, TypeInfo): # a class attribute sym = expr.expr.node.get(expr.name) if sym and isinstance(sym.node, Var): # Enum attribute are treated as final since they are added to the global cache expr_fullname = expr.expr.node.bases[0].type.fullname is_final = sym.node.is_final or expr_fullname == "enum.Enum" if is_final: final_var = sym.node fullname = f"{sym.node.info.fullname}.{final_var.name}" native = self.is_native_module(expr.expr.node.module_name) elif self.is_module_member_expr(expr): # a module attribute if isinstance(expr.node, Var) and expr.node.is_final: final_var = expr.node fullname = expr.node.fullname native = self.is_native_ref_expr(expr) if final_var is not None: return fullname, final_var, native return None def emit_load_final( self, final_var: Var, fullname: str, name: str, native: bool, typ: Type, line: int ) -> Value | None: """Emit code for loading value of a final name (if possible). Args: final_var: Var corresponding to the final name fullname: its qualified name name: shorter name to show in errors native: whether the name was defined in a compiled module typ: its type line: line number where loading occurs """ if final_var.final_value is not None: # this is safe even for non-native names return self.load_literal_value(final_var.final_value) elif native and module_prefix(self.graph, fullname): return self.load_final_static(fullname, self.mapper.type_to_rtype(typ), line, name) else: return None def is_module_member_expr(self, expr: MemberExpr) -> bool: return isinstance(expr.expr, RefExpr) and isinstance(expr.expr.node, MypyFile) def call_refexpr_with_args( self, expr: CallExpr, callee: RefExpr, arg_values: list[Value] ) -> Value: # Handle data-driven special-cased primitive call ops. if callee.fullname and expr.arg_kinds == [ARG_POS] * len(arg_values): fullname = get_call_target_fullname(callee) primitive_candidates = function_ops.get(fullname, []) target = self.builder.matching_primitive_op( primitive_candidates, arg_values, expr.line, self.node_type(expr) ) if target: return target # Standard native call if signature and fullname are good and all arguments are positional # or named. callee_node = callee.node if isinstance(callee_node, OverloadedFuncDef): callee_node = callee_node.impl # TODO: use native calls for any decorated functions which have all their decorators # removed, not just singledispatch functions (which we don't do now just in case those # decorated functions are callable classes or cannot be called without the python API for # some other reason) if ( isinstance(callee_node, Decorator) and callee_node.func not in self.fdefs_to_decorators and callee_node.func in self.singledispatch_impls ): callee_node = callee_node.func if ( callee_node is not None and callee.fullname and callee_node in self.mapper.func_to_decl and all(kind in (ARG_POS, ARG_NAMED) for kind in expr.arg_kinds) ): decl = self.mapper.func_to_decl[callee_node] return self.builder.call(decl, arg_values, expr.arg_kinds, expr.arg_names, expr.line) # Fall back to a Python call function = self.accept(callee) return self.py_call( function, arg_values, expr.line, arg_kinds=expr.arg_kinds, arg_names=expr.arg_names ) def shortcircuit_expr(self, expr: OpExpr) -> Value: def handle_right() -> Value: if expr.right_unreachable: self.builder.add( RaiseStandardError( RaiseStandardError.RUNTIME_ERROR, "mypyc internal error: should be unreachable", expr.right.line, ) ) return self.builder.none() return self.accept(expr.right) return self.builder.shortcircuit_helper( expr.op, self.node_type(expr), lambda: self.accept(expr.left), handle_right, expr.line ) # Basic helpers def flatten_classes(self, arg: RefExpr | TupleExpr) -> list[ClassIR] | None: """Flatten classes in isinstance(obj, (A, (B, C))). If at least one item is not a reference to a native class, return None. """ if isinstance(arg, RefExpr): if isinstance(arg.node, TypeInfo) and self.is_native_module_ref_expr(arg): ir = self.mapper.type_to_ir.get(arg.node) if ir: return [ir] return None else: res: list[ClassIR] = [] for item in arg.items: if isinstance(item, (RefExpr, TupleExpr)): item_part = self.flatten_classes(item) if item_part is None: return None res.extend(item_part) else: return None return res def enter(self, fn_info: FuncInfo | str = "", *, ret_type: RType = none_rprimitive) -> None: if isinstance(fn_info, str): fn_info = FuncInfo(name=fn_info) self.builder = LowLevelIRBuilder(self.errors, self.options) self.builder.set_module(self.module_name, self.module_path) self.builders.append(self.builder) self.symtables.append({}) self.runtime_args.append([]) self.fn_info = fn_info self.fn_infos.append(self.fn_info) self.ret_types.append(ret_type) if fn_info.is_generator: self.nonlocal_control.append(GeneratorNonlocalControl()) else: self.nonlocal_control.append(BaseNonlocalControl()) self.activate_block(BasicBlock()) def leave(self) -> tuple[list[Register], list[RuntimeArg], list[BasicBlock], RType, FuncInfo]: builder = self.builders.pop() self.symtables.pop() runtime_args = self.runtime_args.pop() ret_type = self.ret_types.pop() fn_info = self.fn_infos.pop() self.nonlocal_control.pop() self.builder = self.builders[-1] self.fn_info = self.fn_infos[-1] return builder.args, runtime_args, builder.blocks, ret_type, fn_info @contextmanager def enter_method( self, class_ir: ClassIR, name: str, ret_type: RType, fn_info: FuncInfo | str = "", self_type: RType | None = None, internal: bool = False, ) -> Iterator[None]: """Generate IR for a method. If the method takes arguments, you should immediately afterwards call add_argument() for each non-self argument (self is created implicitly). Args: class_ir: Add method to this class name: Short name of the method ret_type: Return type of the method fn_info: Optionally, additional information about the method self_type: If not None, override default type of the implicit 'self' argument (by default, derive type from class_ir) """ self.enter(fn_info, ret_type=ret_type) self.function_name_stack.append(name) self.class_ir_stack.append(class_ir) if self_type is None: self_type = RInstance(class_ir) self.add_argument(SELF_NAME, self_type) try: yield finally: arg_regs, args, blocks, ret_type, fn_info = self.leave() sig = FuncSignature(args, ret_type) name = self.function_name_stack.pop() class_ir = self.class_ir_stack.pop() decl = FuncDecl(name, class_ir.name, self.module_name, sig, internal=internal) ir = FuncIR(decl, arg_regs, blocks) class_ir.methods[name] = ir class_ir.method_decls[name] = ir.decl self.functions.append(ir) def add_argument(self, var: str | Var, typ: RType, kind: ArgKind = ARG_POS) -> Register: """Declare an argument in the current function. You should use this instead of directly calling add_local() in new code. """ if isinstance(var, str): var = Var(var) reg = self.add_local(var, typ, is_arg=True) self.runtime_args[-1].append(RuntimeArg(var.name, typ, kind)) return reg def lookup(self, symbol: SymbolNode) -> SymbolTarget: return self.symtables[-1][symbol] def add_local(self, symbol: SymbolNode, typ: RType, is_arg: bool = False) -> Register: """Add register that represents a symbol to the symbol table. Args: is_arg: is this a function argument """ assert isinstance(symbol, SymbolNode), symbol reg = Register( typ, remangle_redefinition_name(symbol.name), is_arg=is_arg, line=symbol.line ) self.symtables[-1][symbol] = AssignmentTargetRegister(reg) if is_arg: self.builder.args.append(reg) return reg def add_local_reg( self, symbol: SymbolNode, typ: RType, is_arg: bool = False ) -> AssignmentTargetRegister: """Like add_local, but return an assignment target instead of value.""" self.add_local(symbol, typ, is_arg) target = self.symtables[-1][symbol] assert isinstance(target, AssignmentTargetRegister), target return target def add_self_to_env(self, cls: ClassIR) -> AssignmentTargetRegister: """Low-level function that adds a 'self' argument. This is only useful if using enter() instead of enter_method(). """ return self.add_local_reg(Var(SELF_NAME), RInstance(cls), is_arg=True) def add_target(self, symbol: SymbolNode, target: SymbolTarget) -> SymbolTarget: self.symtables[-1][symbol] = target return target def type_to_rtype(self, typ: Type | None) -> RType: return self.mapper.type_to_rtype(typ) def node_type(self, node: Expression) -> RType: if isinstance(node, IntExpr): # TODO: Don't special case IntExpr return int_rprimitive if node not in self.types: return object_rprimitive mypy_type = self.types[node] return self.type_to_rtype(mypy_type) def add_var_to_env_class( self, var: SymbolNode, rtype: RType, base: FuncInfo | ImplicitClass, reassign: bool = False, always_defined: bool = False, prefix: str = "", ) -> AssignmentTarget: # First, define the variable name as an attribute of the environment class, and then # construct a target for that attribute. name = prefix + remangle_redefinition_name(var.name) self.fn_info.env_class.attributes[name] = rtype if always_defined: self.fn_info.env_class.attrs_with_defaults.add(name) attr_target = AssignmentTargetAttr(base.curr_env_reg, name) if reassign: # Read the local definition of the variable, and set the corresponding attribute of # the environment class' variable to be that value. reg = self.read(self.lookup(var), self.fn_info.fitem.line) self.add(SetAttr(base.curr_env_reg, name, reg, self.fn_info.fitem.line)) # Override the local definition of the variable to instead point at the variable in # the environment class. return self.add_target(var, attr_target) def is_builtin_ref_expr(self, expr: RefExpr) -> bool: assert expr.node, "RefExpr not resolved" return "." in expr.node.fullname and expr.node.fullname.split(".")[0] == "builtins" def load_global(self, expr: NameExpr) -> Value: """Loads a Python-level global. This takes a NameExpr and uses its name as a key to retrieve the corresponding PyObject * from the _globals dictionary in the C-generated code. """ # If the global is from 'builtins', turn it into a module attr load instead if self.is_builtin_ref_expr(expr): assert expr.node, "RefExpr not resolved" return self.load_module_attr_by_fullname(expr.node.fullname, expr.line) if ( self.is_native_module_ref_expr(expr) and isinstance(expr.node, TypeInfo) and not self.is_synthetic_type(expr.node) ): assert expr.fullname return self.load_native_type_object(expr.fullname) return self.load_global_str(expr.name, expr.line) def load_global_str(self, name: str, line: int) -> Value: _globals = self.load_globals_dict() reg = self.load_str(name) return self.primitive_op(dict_get_item_op, [_globals, reg], line) def load_globals_dict(self) -> Value: return self.add(LoadStatic(dict_rprimitive, "globals", self.module_name)) def load_module_attr_by_fullname(self, fullname: str, line: int) -> Value: module, _, name = fullname.rpartition(".") left = self.load_module(module) return self.py_get_attr(left, name, line) def is_native_attr_ref(self, expr: MemberExpr) -> bool: """Is expr a direct reference to a native (struct) attribute of an instance?""" obj_rtype = self.node_type(expr.expr) return ( isinstance(obj_rtype, RInstance) and obj_rtype.class_ir.is_ext_class and obj_rtype.class_ir.has_attr(expr.name) and not obj_rtype.class_ir.get_method(expr.name) ) def mark_block_unreachable(self) -> None: """Mark statements in the innermost block being processed as unreachable. This should be called after a statement that unconditionally leaves the block, such as 'break' or 'return'. """ self.block_reachable_stack[-1] = False # Lacks a good type because there wasn't a reasonable type in 3.5 :( def catch_errors(self, line: int) -> Any: return catch_errors(self.module_path, line) def warning(self, msg: str, line: int) -> None: self.errors.warning(msg, self.module_path, line) def error(self, msg: str, line: int) -> None: self.errors.error(msg, self.module_path, line) def note(self, msg: str, line: int) -> None: self.errors.note(msg, self.module_path, line) def add_function(self, func_ir: FuncIR, line: int) -> None: name = (func_ir.class_name, func_ir.name) if name in self.function_names: self.error(f'Duplicate definition of "{name[1]}" not supported by mypyc', line) return self.function_names.add(name) self.functions.append(func_ir) def get_current_class_ir(self) -> ClassIR | None: type_info = self.fn_info.fitem.info return self.mapper.type_to_ir.get(type_info) def gen_arg_defaults(builder: IRBuilder) -> None: """Generate blocks for arguments that have default values. If the passed value is an error value, then assign the default value to the argument. """ fitem = builder.fn_info.fitem nb = 0 for arg in fitem.arguments: if arg.initializer: target = builder.lookup(arg.variable) def get_default() -> Value: assert arg.initializer is not None # If it is constant, don't bother storing it if is_constant(arg.initializer): return builder.accept(arg.initializer) # Because gen_arg_defaults runs before calculate_arg_defaults, we # add the static/attribute to final_names/the class here. elif not builder.fn_info.is_nested: name = fitem.fullname + "." + arg.variable.name builder.final_names.append((name, target.type)) return builder.add(LoadStatic(target.type, name, builder.module_name)) else: name = arg.variable.name builder.fn_info.callable_class.ir.attributes[name] = target.type return builder.add( GetAttr(builder.fn_info.callable_class.self_reg, name, arg.line) ) assert isinstance(target, AssignmentTargetRegister), target reg = target.register if not reg.type.error_overlap: builder.assign_if_null(target.register, get_default, arg.initializer.line) else: builder.assign_if_bitmap_unset( target.register, get_default, nb, arg.initializer.line ) nb += 1 def remangle_redefinition_name(name: str) -> str: """Remangle names produced by mypy when allow-redefinition is used and a name is used with multiple types within a single block. We only need to do this for locals, because the name is used as the name of the register; for globals, the name itself is stored in a register for the purpose of doing dict lookups. """ return name.replace("'", "__redef__") def get_call_target_fullname(ref: RefExpr) -> str: if isinstance(ref.node, TypeAlias): # Resolve simple type aliases. In calls they evaluate to the type they point to. target = get_proper_type(ref.node.target) if isinstance(target, Instance): return target.type.fullname return ref.fullname def create_type_params( builder: IRBuilder, typing_mod: Value, type_args: list[TypeParam], line: int ) -> list[Value]: """Create objects representing various kinds of Python 3.12 type parameters. The "typing_mod" argument is the "_typing" module object. The type objects are looked up from it. The returned list has one item for each "type_args" item, in the same order. Each item is either a TypeVar, TypeVarTuple or ParamSpec instance. """ tvs = [] type_var_imported: Value | None = None for type_param in type_args: if type_param.kind == TYPE_VAR_KIND: if type_var_imported: # Reuse previously imported value as a minor optimization tvt = type_var_imported else: tvt = builder.py_get_attr(typing_mod, "TypeVar", line) type_var_imported = tvt elif type_param.kind == TYPE_VAR_TUPLE_KIND: tvt = builder.py_get_attr(typing_mod, "TypeVarTuple", line) else: assert type_param.kind == PARAM_SPEC_KIND tvt = builder.py_get_attr(typing_mod, "ParamSpec", line) if type_param.kind != TYPE_VAR_TUPLE_KIND: # To match runtime semantics, pass infer_variance=True tv = builder.py_call( tvt, [builder.load_str(type_param.name), builder.true()], line, arg_kinds=[ARG_POS, ARG_NAMED], arg_names=[None, "infer_variance"], ) else: tv = builder.py_call(tvt, [builder.load_str(type_param.name)], line) builder.init_type_var(tv, type_param.name, line) tvs.append(tv) return tvs def calculate_arg_defaults( builder: IRBuilder, fn_info: FuncInfo, func_reg: Value | None, symtable: dict[SymbolNode, SymbolTarget], ) -> None: """Calculate default argument values and store them. They are stored in statics for top level functions and in the function objects for nested functions (while constants are still stored computed on demand). """ fitem = fn_info.fitem for arg in fitem.arguments: # Constant values don't get stored but just recomputed if arg.initializer and not is_constant(arg.initializer): value = builder.coerce( builder.accept(arg.initializer), symtable[arg.variable].type, arg.line ) if not fn_info.is_nested: name = fitem.fullname + "." + arg.variable.name builder.add(InitStatic(value, name, builder.module_name)) else: assert func_reg is not None builder.add(SetAttr(func_reg, arg.variable.name, value, arg.line)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/callable_class.py0000644000175100017510000001633615112307767020361 0ustar00runnerrunner"""Generate a class that represents a nested function. The class defines __call__ for calling the function and allows access to non-local variables defined in outer scopes. """ from __future__ import annotations from mypyc.common import ENV_ATTR_NAME, SELF_NAME from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncDecl, FuncIR, FuncSignature, RuntimeArg from mypyc.ir.ops import BasicBlock, Call, Register, Return, SetAttr, Value from mypyc.ir.rtypes import RInstance, object_rprimitive from mypyc.irbuild.builder import IRBuilder from mypyc.irbuild.context import FuncInfo, ImplicitClass from mypyc.primitives.misc_ops import method_new_op def setup_callable_class(builder: IRBuilder) -> None: """Generate an (incomplete) callable class representing a function. This can be a nested function or a function within a non-extension class. Also set up the 'self' variable for that class. This takes the most recently visited function and returns a ClassIR to represent that function. Each callable class contains an environment attribute which points to another ClassIR representing the environment class where some of its variables can be accessed. Note that some methods, such as '__call__', are not yet created here. Use additional functions, such as add_call_to_callable_class(), to add them. Return a newly constructed ClassIR representing the callable class for the nested function. """ # Check to see that the name has not already been taken. If so, # rename the class. We allow multiple uses of the same function # name because this is valid in if-else blocks. Example: # # if True: # def foo(): ----> foo_obj() # return True # else: # def foo(): ----> foo_obj_0() # return False name = base_name = f"{builder.fn_info.namespaced_name()}_obj" count = 0 while name in builder.callable_class_names: name = base_name + "_" + str(count) count += 1 builder.callable_class_names.add(name) # Define the actual callable class ClassIR, and set its # environment to point at the previously defined environment # class. callable_class_ir = ClassIR(name, builder.module_name, is_generated=True, is_final_class=True) callable_class_ir.reuse_freed_instance = True # The functools @wraps decorator attempts to call setattr on # nested functions, so we create a dict for these nested # functions. # https://github.com/python/cpython/blob/3.7/Lib/functools.py#L58 if builder.fn_info.is_nested: callable_class_ir.has_dict = True # If the enclosing class doesn't contain nested (which will happen if # this is a toplevel lambda), don't set up an environment. if builder.fn_infos[-2].contains_nested: callable_class_ir.attributes[ENV_ATTR_NAME] = RInstance(builder.fn_infos[-2].env_class) callable_class_ir.mro = [callable_class_ir] builder.fn_info.callable_class = ImplicitClass(callable_class_ir) builder.classes.append(callable_class_ir) # Add a 'self' variable to the environment of the callable class, # and store that variable in a register to be accessed later. self_target = builder.add_self_to_env(callable_class_ir) builder.fn_info.callable_class.self_reg = builder.read(self_target, builder.fn_info.fitem.line) def add_call_to_callable_class( builder: IRBuilder, args: list[Register], blocks: list[BasicBlock], sig: FuncSignature, fn_info: FuncInfo, ) -> FuncIR: """Generate a '__call__' method for a callable class representing a nested function. This takes the blocks and signature associated with a function definition and uses those to build the '__call__' method of a given callable class, used to represent that function. """ # Since we create a method, we also add a 'self' parameter. nargs = len(sig.args) - sig.num_bitmap_args sig = FuncSignature( (RuntimeArg(SELF_NAME, object_rprimitive),) + sig.args[:nargs], sig.ret_type ) call_fn_decl = FuncDecl("__call__", fn_info.callable_class.ir.name, builder.module_name, sig) call_fn_ir = FuncIR( call_fn_decl, args, blocks, fn_info.fitem.line, traceback_name=fn_info.fitem.name ) fn_info.callable_class.ir.methods["__call__"] = call_fn_ir fn_info.callable_class.ir.method_decls["__call__"] = call_fn_decl return call_fn_ir def add_get_to_callable_class(builder: IRBuilder, fn_info: FuncInfo) -> None: """Generate the '__get__' method for a callable class.""" line = fn_info.fitem.line with builder.enter_method( fn_info.callable_class.ir, "__get__", object_rprimitive, fn_info, self_type=object_rprimitive, ): instance = builder.add_argument("instance", object_rprimitive) builder.add_argument("owner", object_rprimitive) # If accessed through the class, just return the callable # object. If accessed through an object, create a new bound # instance method object. instance_block, class_block = BasicBlock(), BasicBlock() comparison = builder.translate_is_op( builder.read(instance), builder.none_object(), "is", line ) builder.add_bool_branch(comparison, class_block, instance_block) builder.activate_block(class_block) builder.add(Return(builder.self())) builder.activate_block(instance_block) builder.add( Return(builder.call_c(method_new_op, [builder.self(), builder.read(instance)], line)) ) def instantiate_callable_class(builder: IRBuilder, fn_info: FuncInfo) -> Value: """Create an instance of a callable class for a function. Calls to the function will actually call this instance. Note that fn_info refers to the function being assigned, whereas builder.fn_info refers to the function encapsulating the function being turned into a callable class. """ fitem = fn_info.fitem func_reg = builder.add(Call(fn_info.callable_class.ir.ctor, [], fitem.line)) # Set the environment attribute of the callable class to point at # the environment class defined in the callable class' immediate # outer scope. Note that there are three possible environment # class registers we may use. This depends on what the encapsulating # (parent) function is: # # - A nested function: the callable class is instantiated # from the current callable class' '__call__' function, and hence # the callable class' environment register is used. # - A generator function: the callable class is instantiated # from the '__next__' method of the generator class, and hence the # environment of the generator class is used. # - Regular function: we use the environment of the original function. curr_env_reg = None if builder.fn_info.is_generator: curr_env_reg = builder.fn_info.generator_class.curr_env_reg elif builder.fn_info.is_nested: curr_env_reg = builder.fn_info.callable_class.curr_env_reg elif builder.fn_info.contains_nested: curr_env_reg = builder.fn_info.curr_env_reg if curr_env_reg: builder.add(SetAttr(func_reg, ENV_ATTR_NAME, curr_env_reg, fitem.line)) return func_reg ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/classdef.py0000644000175100017510000011011515112307767017207 0ustar00runnerrunner"""Transform class definitions from the mypy AST form to IR.""" from __future__ import annotations from abc import abstractmethod from typing import Callable, Final from mypy.nodes import ( EXCLUDED_ENUM_ATTRIBUTES, TYPE_VAR_TUPLE_KIND, AssignmentStmt, CallExpr, ClassDef, Decorator, EllipsisExpr, ExpressionStmt, FuncDef, Lvalue, MemberExpr, NameExpr, OverloadedFuncDef, PassStmt, RefExpr, StrExpr, TempNode, TypeInfo, TypeParam, is_class_var, ) from mypy.types import Instance, UnboundType, get_proper_type from mypyc.common import PROPSET_PREFIX from mypyc.ir.class_ir import ClassIR, NonExtClassInfo from mypyc.ir.func_ir import FuncDecl, FuncSignature from mypyc.ir.ops import ( NAMESPACE_TYPE, BasicBlock, Branch, Call, InitStatic, LoadAddress, LoadErrorValue, LoadStatic, MethodCall, Register, Return, SetAttr, TupleSet, Value, ) from mypyc.ir.rtypes import ( RType, bool_rprimitive, dict_rprimitive, is_none_rprimitive, is_object_rprimitive, is_optional_type, object_rprimitive, ) from mypyc.irbuild.builder import IRBuilder, create_type_params from mypyc.irbuild.function import ( gen_property_getter_ir, gen_property_setter_ir, handle_ext_method, handle_non_ext_method, load_type, ) from mypyc.irbuild.prepare import GENERATOR_HELPER_NAME from mypyc.irbuild.util import dataclass_type, get_func_def, is_constant, is_dataclass_decorator from mypyc.primitives.dict_ops import dict_new_op, exact_dict_set_item_op from mypyc.primitives.generic_ops import ( iter_op, next_op, py_get_item_op, py_hasattr_op, py_setattr_op, ) from mypyc.primitives.misc_ops import ( dataclass_sleight_of_hand, import_op, not_implemented_op, py_calc_meta_op, pytype_from_template_op, type_object_op, ) from mypyc.subtype import is_subtype def transform_class_def(builder: IRBuilder, cdef: ClassDef) -> None: """Create IR for a class definition. This can generate both extension (native) and non-extension classes. These are generated in very different ways. In the latter case we construct a Python type object at runtime by doing the equivalent of "type(name, bases, dict)" in IR. Extension classes are defined via C structs that are generated later in mypyc.codegen.emitclass. This is the main entry point to this module. """ if cdef.info not in builder.mapper.type_to_ir: builder.error("Nested class definitions not supported", cdef.line) return ir = builder.mapper.type_to_ir[cdef.info] # We do this check here because the base field of parent # classes aren't necessarily populated yet at # prepare_class_def time. if any(ir.base_mro[i].base != ir.base_mro[i + 1] for i in range(len(ir.base_mro) - 1)): builder.error("Multiple inheritance is not supported (except for traits)", cdef.line) if ir.allow_interpreted_subclasses: for parent in ir.mro: if not parent.allow_interpreted_subclasses: builder.error( 'Base class "{}" does not allow interpreted subclasses'.format( parent.fullname ), cdef.line, ) # Currently, we only create non-extension classes for classes that are # decorated or inherit from Enum. Classes decorated with @trait do not # apply here, and are handled in a different way. if ir.is_ext_class: cls_type = dataclass_type(cdef) if cls_type is None: cls_builder: ClassBuilder = ExtClassBuilder(builder, cdef) elif cls_type in ["dataclasses", "attr-auto"]: cls_builder = DataClassBuilder(builder, cdef) elif cls_type == "attr": cls_builder = AttrsClassBuilder(builder, cdef) else: raise ValueError(cls_type) else: cls_builder = NonExtClassBuilder(builder, cdef) for stmt in cdef.defs.body: if ( isinstance(stmt, (FuncDef, Decorator, OverloadedFuncDef)) and stmt.name == GENERATOR_HELPER_NAME ): builder.error( f'Method name "{stmt.name}" is reserved for mypyc internal use', stmt.line ) if isinstance(stmt, OverloadedFuncDef) and stmt.is_property: if isinstance(cls_builder, NonExtClassBuilder): # properties with both getters and setters in non_extension # classes not supported builder.error("Property setters not supported in non-extension classes", stmt.line) for item in stmt.items: with builder.catch_errors(stmt.line): cls_builder.add_method(get_func_def(item)) elif isinstance(stmt, (FuncDef, Decorator, OverloadedFuncDef)): # Ignore plugin generated methods (since they have no # bodies to compile and will need to have the bodies # provided by some other mechanism.) if cdef.info.names[stmt.name].plugin_generated: continue with builder.catch_errors(stmt.line): cls_builder.add_method(get_func_def(stmt)) elif isinstance(stmt, PassStmt) or ( isinstance(stmt, ExpressionStmt) and isinstance(stmt.expr, EllipsisExpr) ): continue elif isinstance(stmt, AssignmentStmt): if len(stmt.lvalues) != 1: builder.error("Multiple assignment in class bodies not supported", stmt.line) continue lvalue = stmt.lvalues[0] if not isinstance(lvalue, NameExpr): builder.error( "Only assignment to variables is supported in class bodies", stmt.line ) continue # We want to collect class variables in a dictionary for both real # non-extension classes and fake dataclass ones. cls_builder.add_attr(lvalue, stmt) elif isinstance(stmt, ExpressionStmt) and isinstance(stmt.expr, StrExpr): # Docstring. Ignore pass else: builder.error("Unsupported statement in class body", stmt.line) # Generate implicit property setters/getters for name, decl in ir.method_decls.items(): if decl.implicit and decl.is_prop_getter: getter_ir = gen_property_getter_ir(builder, decl, cdef, ir.is_trait) builder.functions.append(getter_ir) ir.methods[getter_ir.decl.name] = getter_ir setter_ir = None setter_name = PROPSET_PREFIX + name if setter_name in ir.method_decls: setter_ir = gen_property_setter_ir( builder, ir.method_decls[setter_name], cdef, ir.is_trait ) builder.functions.append(setter_ir) ir.methods[setter_name] = setter_ir ir.properties[name] = (getter_ir, setter_ir) # TODO: Generate glue method if needed? # TODO: Do we need interpreted glue methods? Maybe not? cls_builder.finalize(ir) class ClassBuilder: """Create IR for a class definition. This is an abstract base class. """ def __init__(self, builder: IRBuilder, cdef: ClassDef) -> None: self.builder = builder self.cdef = cdef self.attrs_to_cache: list[tuple[Lvalue, RType]] = [] @abstractmethod def add_method(self, fdef: FuncDef) -> None: """Add a method to the class IR""" @abstractmethod def add_attr(self, lvalue: NameExpr, stmt: AssignmentStmt) -> None: """Add an attribute to the class IR""" @abstractmethod def finalize(self, ir: ClassIR) -> None: """Perform any final operations to complete the class IR""" class NonExtClassBuilder(ClassBuilder): def __init__(self, builder: IRBuilder, cdef: ClassDef) -> None: super().__init__(builder, cdef) self.non_ext = self.create_non_ext_info() def create_non_ext_info(self) -> NonExtClassInfo: non_ext_bases = populate_non_ext_bases(self.builder, self.cdef) non_ext_metaclass = find_non_ext_metaclass(self.builder, self.cdef, non_ext_bases) non_ext_dict = setup_non_ext_dict( self.builder, self.cdef, non_ext_metaclass, non_ext_bases ) # We populate __annotations__ for non-extension classes # because dataclasses uses it to determine which attributes to compute on. # TODO: Maybe generate more precise types for annotations non_ext_anns = self.builder.call_c(dict_new_op, [], self.cdef.line) return NonExtClassInfo(non_ext_dict, non_ext_bases, non_ext_anns, non_ext_metaclass) def add_method(self, fdef: FuncDef) -> None: handle_non_ext_method(self.builder, self.non_ext, self.cdef, fdef) def add_attr(self, lvalue: NameExpr, stmt: AssignmentStmt) -> None: add_non_ext_class_attr_ann(self.builder, self.non_ext, lvalue, stmt) add_non_ext_class_attr( self.builder, self.non_ext, lvalue, stmt, self.cdef, self.attrs_to_cache ) def finalize(self, ir: ClassIR) -> None: # Dynamically create the class via the type constructor non_ext_class = load_non_ext_class(self.builder, ir, self.non_ext, self.cdef.line) non_ext_class = load_decorated_class(self.builder, self.cdef, non_ext_class) # Try to avoid contention when using free threading. self.builder.set_immortal_if_free_threaded(non_ext_class, self.cdef.line) # Save the decorated class self.builder.add( InitStatic(non_ext_class, self.cdef.name, self.builder.module_name, NAMESPACE_TYPE) ) # Add the non-extension class to the dict self.builder.call_c( exact_dict_set_item_op, [ self.builder.load_globals_dict(), self.builder.load_str(self.cdef.name), non_ext_class, ], self.cdef.line, ) # Cache any cacheable class attributes cache_class_attrs(self.builder, self.attrs_to_cache, self.cdef) class ExtClassBuilder(ClassBuilder): def __init__(self, builder: IRBuilder, cdef: ClassDef) -> None: super().__init__(builder, cdef) # If the class is not decorated, generate an extension class for it. self.type_obj: Value | None = allocate_class(builder, cdef) def skip_attr_default(self, name: str, stmt: AssignmentStmt) -> bool: """Controls whether to skip generating a default for an attribute.""" return False def add_method(self, fdef: FuncDef) -> None: handle_ext_method(self.builder, self.cdef, fdef) def add_attr(self, lvalue: NameExpr, stmt: AssignmentStmt) -> None: # Variable declaration with no body if isinstance(stmt.rvalue, TempNode): return # Only treat marked class variables as class variables. if not (is_class_var(lvalue) or stmt.is_final_def): return typ = self.builder.load_native_type_object(self.cdef.fullname) value = self.builder.accept(stmt.rvalue) self.builder.primitive_op( py_setattr_op, [typ, self.builder.load_str(lvalue.name), value], stmt.line ) if self.builder.non_function_scope() and stmt.is_final_def: self.builder.init_final_static(lvalue, value, self.cdef.name) def finalize(self, ir: ClassIR) -> None: attrs_with_defaults, default_assignments = find_attr_initializers( self.builder, self.cdef, self.skip_attr_default ) ir.attrs_with_defaults.update(attrs_with_defaults) generate_attr_defaults_init(self.builder, self.cdef, default_assignments) create_ne_from_eq(self.builder, self.cdef) class DataClassBuilder(ExtClassBuilder): # controls whether an __annotations__ attribute should be added to the class # __dict__. This is not desirable for attrs classes where auto_attribs is # disabled, as attrs will reject it. add_annotations_to_dict = True def __init__(self, builder: IRBuilder, cdef: ClassDef) -> None: super().__init__(builder, cdef) self.non_ext = self.create_non_ext_info() def create_non_ext_info(self) -> NonExtClassInfo: """Set up a NonExtClassInfo to track dataclass attributes. In addition to setting up a normal extension class for dataclasses, we also collect its class attributes like a non-extension class so that we can hand them to the dataclass decorator. """ return NonExtClassInfo( self.builder.call_c(dict_new_op, [], self.cdef.line), self.builder.add(TupleSet([], self.cdef.line)), self.builder.call_c(dict_new_op, [], self.cdef.line), self.builder.add(LoadAddress(type_object_op.type, type_object_op.src, self.cdef.line)), ) def skip_attr_default(self, name: str, stmt: AssignmentStmt) -> bool: return stmt.type is not None def get_type_annotation(self, stmt: AssignmentStmt) -> TypeInfo | None: # We populate __annotations__ because dataclasses uses it to determine # which attributes to compute on. ann_type = get_proper_type(stmt.type) if isinstance(ann_type, Instance): return ann_type.type return None def add_attr(self, lvalue: NameExpr, stmt: AssignmentStmt) -> None: add_non_ext_class_attr_ann( self.builder, self.non_ext, lvalue, stmt, self.get_type_annotation ) add_non_ext_class_attr( self.builder, self.non_ext, lvalue, stmt, self.cdef, self.attrs_to_cache ) super().add_attr(lvalue, stmt) def finalize(self, ir: ClassIR) -> None: """Generate code to finish instantiating a dataclass. This works by replacing all of the attributes on the class (which will be descriptors) with whatever they would be in a non-extension class, calling dataclass, then switching them back. The resulting class is an extension class and instances of it do not have a __dict__ (unless something else requires it). All methods written explicitly in the source are compiled and may be called through the vtable while the methods generated by dataclasses are interpreted and may not be. (If we just called dataclass without doing this, it would think that all of the descriptors for our attributes are default values and generate an incorrect constructor. We need to do the switch so that dataclass gets the appropriate defaults.) """ super().finalize(ir) assert self.type_obj add_dunders_to_non_ext_dict( self.builder, self.non_ext, self.cdef.line, self.add_annotations_to_dict ) dec = self.builder.accept( next(d for d in self.cdef.decorators if is_dataclass_decorator(d)) ) dataclass_type_val = self.builder.load_str(dataclass_type(self.cdef) or "unknown") self.builder.call_c( dataclass_sleight_of_hand, [dec, self.type_obj, self.non_ext.dict, self.non_ext.anns, dataclass_type_val], self.cdef.line, ) class AttrsClassBuilder(DataClassBuilder): """Create IR for an attrs class where auto_attribs=False (the default). When auto_attribs is enabled, attrs classes behave similarly to dataclasses (i.e. types are stored as annotations on the class) and are thus handled by DataClassBuilder, but when auto_attribs is disabled the types are provided via attr.ib(type=...) """ add_annotations_to_dict = False def skip_attr_default(self, name: str, stmt: AssignmentStmt) -> bool: return True def get_type_annotation(self, stmt: AssignmentStmt) -> TypeInfo | None: if isinstance(stmt.rvalue, CallExpr): # find the type arg in `attr.ib(type=str)` callee = stmt.rvalue.callee if ( isinstance(callee, MemberExpr) and callee.fullname in ["attr.ib", "attr.attr"] and "type" in stmt.rvalue.arg_names ): index = stmt.rvalue.arg_names.index("type") type_name = stmt.rvalue.args[index] if isinstance(type_name, NameExpr) and isinstance(type_name.node, TypeInfo): lvalue = stmt.lvalues[0] assert isinstance(lvalue, NameExpr), lvalue return type_name.node return None def allocate_class(builder: IRBuilder, cdef: ClassDef) -> Value: # OK AND NOW THE FUN PART base_exprs = cdef.base_type_exprs + cdef.removed_base_type_exprs new_style_type_args = cdef.type_args if new_style_type_args: bases = [make_generic_base_class(builder, cdef.fullname, new_style_type_args, cdef.line)] else: bases = [] if base_exprs or new_style_type_args: bases.extend([builder.accept(x) for x in base_exprs]) tp_bases = builder.new_tuple(bases, cdef.line) else: tp_bases = builder.add(LoadErrorValue(object_rprimitive, is_borrowed=True)) modname = builder.load_str(builder.module_name) template = builder.add( LoadStatic(object_rprimitive, cdef.name + "_template", builder.module_name, NAMESPACE_TYPE) ) # Create the class tp = builder.call_c(pytype_from_template_op, [template, tp_bases, modname], cdef.line) # Set type object to be immortal if free threaded, as otherwise reference count contention # can cause a big performance hit. builder.set_immortal_if_free_threaded(tp, cdef.line) # Immediately fix up the trait vtables, before doing anything with the class. ir = builder.mapper.type_to_ir[cdef.info] if not ir.is_trait and not ir.builtin_base: builder.add( Call( FuncDecl( cdef.name + "_trait_vtable_setup", None, builder.module_name, FuncSignature([], bool_rprimitive), ), [], -1, ) ) # Populate a '__mypyc_attrs__' field containing the list of attrs builder.primitive_op( py_setattr_op, [ tp, builder.load_str("__mypyc_attrs__"), create_mypyc_attrs_tuple(builder, builder.mapper.type_to_ir[cdef.info], cdef.line), ], cdef.line, ) # Save the class builder.add(InitStatic(tp, cdef.name, builder.module_name, NAMESPACE_TYPE)) # Add it to the dict builder.call_c( exact_dict_set_item_op, [builder.load_globals_dict(), builder.load_str(cdef.name), tp], cdef.line, ) return tp def make_generic_base_class( builder: IRBuilder, fullname: str, type_args: list[TypeParam], line: int ) -> Value: """Construct Generic[...] base class object for a new-style generic class (Python 3.12).""" mod = builder.call_c(import_op, [builder.load_str("_typing")], line) tvs = create_type_params(builder, mod, type_args, line) args = [] for tv, type_param in zip(tvs, type_args): if type_param.kind == TYPE_VAR_TUPLE_KIND: # Evaluate *Ts for a TypeVarTuple it = builder.primitive_op(iter_op, [tv], line) tv = builder.call_c(next_op, [it], line) args.append(tv) gent = builder.py_get_attr(mod, "Generic", line) if len(args) == 1: arg = args[0] else: arg = builder.new_tuple(args, line) base = builder.primitive_op(py_get_item_op, [gent, arg], line) return base # Mypy uses these internally as base classes of TypedDict classes. These are # lies and don't have any runtime equivalent. MAGIC_TYPED_DICT_CLASSES: Final[tuple[str, ...]] = ( "typing._TypedDict", "typing_extensions._TypedDict", ) def populate_non_ext_bases(builder: IRBuilder, cdef: ClassDef) -> Value: """Create base class tuple of a non-extension class. The tuple is passed to the metaclass constructor. """ is_named_tuple = cdef.info.is_named_tuple ir = builder.mapper.type_to_ir[cdef.info] bases = [] for cls in (b.type for b in cdef.info.bases): if cls.fullname == "builtins.object": continue if is_named_tuple and cls.fullname in ( "typing.Sequence", "typing.Iterable", "typing.Collection", "typing.Reversible", "typing.Container", "typing.Sized", ): # HAX: Synthesized base classes added by mypy don't exist at runtime, so skip them. # This could break if they were added explicitly, though... continue # Add the current class to the base classes list of concrete subclasses if cls in builder.mapper.type_to_ir: base_ir = builder.mapper.type_to_ir[cls] if base_ir.children is not None: base_ir.children.append(ir) if cls.fullname in MAGIC_TYPED_DICT_CLASSES: # HAX: Mypy internally represents TypedDict classes differently from what # should happen at runtime. Replace with something that works. module = "typing" name = "_TypedDict" base = builder.get_module_attr(module, name, cdef.line) elif is_named_tuple and cls.fullname == "builtins.tuple": name = "_NamedTuple" base = builder.get_module_attr("typing", name, cdef.line) else: cls_module = cls.fullname.rsplit(".", 1)[0] if cls_module == builder.current_module: base = builder.load_global_str(cls.name, cdef.line) else: base = builder.load_module_attr_by_fullname(cls.fullname, cdef.line) bases.append(base) if cls.fullname in MAGIC_TYPED_DICT_CLASSES: # The remaining base classes are synthesized by mypy and should be ignored. break return builder.new_tuple(bases, cdef.line) def find_non_ext_metaclass(builder: IRBuilder, cdef: ClassDef, bases: Value) -> Value: """Find the metaclass of a class from its defs and bases.""" if cdef.metaclass: declared_metaclass = builder.accept(cdef.metaclass) else: if cdef.info.typeddict_type is not None: # In Python 3.9, the metaclass for class-based TypedDict is typing._TypedDictMeta. # We can't easily calculate it generically, so special case it. return builder.get_module_attr("typing", "_TypedDictMeta", cdef.line) elif cdef.info.is_named_tuple: # In Python 3.9, the metaclass for class-based NamedTuple is typing.NamedTupleMeta. # We can't easily calculate it generically, so special case it. return builder.get_module_attr("typing", "NamedTupleMeta", cdef.line) declared_metaclass = builder.add( LoadAddress(type_object_op.type, type_object_op.src, cdef.line) ) return builder.call_c(py_calc_meta_op, [declared_metaclass, bases], cdef.line) def setup_non_ext_dict( builder: IRBuilder, cdef: ClassDef, metaclass: Value, bases: Value ) -> Value: """Initialize the class dictionary for a non-extension class. This class dictionary is passed to the metaclass constructor. """ # Check if the metaclass defines a __prepare__ method, and if so, call it. has_prepare = builder.primitive_op( py_hasattr_op, [metaclass, builder.load_str("__prepare__")], cdef.line ) non_ext_dict = Register(dict_rprimitive) true_block, false_block, exit_block = BasicBlock(), BasicBlock(), BasicBlock() builder.add_bool_branch(has_prepare, true_block, false_block) builder.activate_block(true_block) cls_name = builder.load_str(cdef.name) prepare_meth = builder.py_get_attr(metaclass, "__prepare__", cdef.line) prepare_dict = builder.py_call(prepare_meth, [cls_name, bases], cdef.line) builder.assign(non_ext_dict, prepare_dict, cdef.line) builder.goto(exit_block) builder.activate_block(false_block) builder.assign(non_ext_dict, builder.call_c(dict_new_op, [], cdef.line), cdef.line) builder.goto(exit_block) builder.activate_block(exit_block) return non_ext_dict def add_non_ext_class_attr_ann( builder: IRBuilder, non_ext: NonExtClassInfo, lvalue: NameExpr, stmt: AssignmentStmt, get_type_info: Callable[[AssignmentStmt], TypeInfo | None] | None = None, ) -> None: """Add a class attribute to __annotations__ of a non-extension class.""" # FIXME: try to better preserve the special forms and type parameters of generics. typ: Value | None = None if get_type_info is not None: type_info = get_type_info(stmt) if type_info: # NOTE: Using string type information is similar to using # `from __future__ import annotations` in standard python. # NOTE: For string types we need to use the fullname since it # includes the module. If string type doesn't have the module, # @dataclass will try to get the current module and fail since the # current module is not in sys.modules. if builder.current_module == type_info.module_name and stmt.line < type_info.line: typ = builder.load_str(type_info.fullname) else: typ = load_type(builder, type_info, stmt.unanalyzed_type, stmt.line) if typ is None: # FIXME: if get_type_info is not provided, don't fall back to stmt.type? ann_type = get_proper_type(stmt.type) if ( isinstance(stmt.unanalyzed_type, UnboundType) and stmt.unanalyzed_type.original_str_expr is not None ): # Annotation is a forward reference, so don't attempt to load the actual # type and load the string instead. # # TODO: is it possible to determine whether a non-string annotation is # actually a forward reference due to the __annotations__ future? typ = builder.load_str(stmt.unanalyzed_type.original_str_expr) elif isinstance(ann_type, Instance): typ = load_type(builder, ann_type.type, stmt.unanalyzed_type, stmt.line) else: typ = builder.add(LoadAddress(type_object_op.type, type_object_op.src, stmt.line)) key = builder.load_str(lvalue.name) builder.call_c(exact_dict_set_item_op, [non_ext.anns, key, typ], stmt.line) def add_non_ext_class_attr( builder: IRBuilder, non_ext: NonExtClassInfo, lvalue: NameExpr, stmt: AssignmentStmt, cdef: ClassDef, attr_to_cache: list[tuple[Lvalue, RType]], ) -> None: """Add a class attribute to __dict__ of a non-extension class.""" # Only add the attribute to the __dict__ if the assignment is of the form: # x: type = value (don't add attributes of the form 'x: type' to the __dict__). if not isinstance(stmt.rvalue, TempNode): rvalue = builder.accept(stmt.rvalue) builder.add_to_non_ext_dict(non_ext, lvalue.name, rvalue, stmt.line) # We cache enum attributes to speed up enum attribute lookup since they # are final. if ( cdef.info.bases # Enum class must be the last parent class. and cdef.info.bases[-1].type.is_enum # Skip these since Enum will remove it and lvalue.name not in EXCLUDED_ENUM_ATTRIBUTES ): # Enum values are always boxed, so use object_rprimitive. attr_to_cache.append((lvalue, object_rprimitive)) def find_attr_initializers( builder: IRBuilder, cdef: ClassDef, skip: Callable[[str, AssignmentStmt], bool] | None = None ) -> tuple[set[str], list[AssignmentStmt]]: """Find initializers of attributes in a class body. If provided, the skip arg should be a callable which will return whether to skip generating a default for an attribute. It will be passed the name of the attribute and the corresponding AssignmentStmt. """ cls = builder.mapper.type_to_ir[cdef.info] if cls.builtin_base: return set(), [] attrs_with_defaults = set() # Pull out all assignments in classes in the mro so we can initialize them # TODO: Support nested statements default_assignments = [] for info in reversed(cdef.info.mro): if info not in builder.mapper.type_to_ir: continue for stmt in info.defn.defs.body: if ( isinstance(stmt, AssignmentStmt) and isinstance(stmt.lvalues[0], NameExpr) and not is_class_var(stmt.lvalues[0]) and not isinstance(stmt.rvalue, TempNode) ): name = stmt.lvalues[0].name if name == "__slots__": continue if name == "__deletable__": check_deletable_declaration(builder, cls, stmt.line) continue if skip is not None and skip(name, stmt): continue attr_type = cls.attr_type(name) # If the attribute is initialized to None and type isn't optional, # doesn't initialize it to anything (special case for "# type:" comments). if isinstance(stmt.rvalue, RefExpr) and stmt.rvalue.fullname == "builtins.None": if ( not is_optional_type(attr_type) and not is_object_rprimitive(attr_type) and not is_none_rprimitive(attr_type) ): continue attrs_with_defaults.add(name) default_assignments.append(stmt) return attrs_with_defaults, default_assignments def generate_attr_defaults_init( builder: IRBuilder, cdef: ClassDef, default_assignments: list[AssignmentStmt] ) -> None: """Generate an initialization method for default attr values (from class vars).""" if not default_assignments: return cls = builder.mapper.type_to_ir[cdef.info] if cls.builtin_base: return with builder.enter_method(cls, "__mypyc_defaults_setup", bool_rprimitive): self_var = builder.self() for stmt in default_assignments: lvalue = stmt.lvalues[0] assert isinstance(lvalue, NameExpr), lvalue if not stmt.is_final_def and not is_constant(stmt.rvalue): builder.warning("Unsupported default attribute value", stmt.rvalue.line) attr_type = cls.attr_type(lvalue.name) val = builder.coerce(builder.accept(stmt.rvalue), attr_type, stmt.line) init = SetAttr(self_var, lvalue.name, val, -1) init.mark_as_initializer() builder.add(init) builder.add(Return(builder.true())) def check_deletable_declaration(builder: IRBuilder, cl: ClassIR, line: int) -> None: for attr in cl.deletable: if attr not in cl.attributes: if not cl.has_attr(attr): builder.error(f'Attribute "{attr}" not defined', line) continue for base in cl.mro: if attr in base.property_types: builder.error(f'Cannot make property "{attr}" deletable', line) break else: _, base = cl.attr_details(attr) builder.error( ('Attribute "{}" not defined in "{}" ' + '(defined in "{}")').format( attr, cl.name, base.name ), line, ) def create_ne_from_eq(builder: IRBuilder, cdef: ClassDef) -> None: """Create a "__ne__" method from a "__eq__" method (if only latter exists).""" cls = builder.mapper.type_to_ir[cdef.info] if cls.has_method("__eq__") and not cls.has_method("__ne__"): gen_glue_ne_method(builder, cls, cdef.line) def gen_glue_ne_method(builder: IRBuilder, cls: ClassIR, line: int) -> None: """Generate a "__ne__" method from a "__eq__" method.""" func_ir = cls.get_method("__eq__") assert func_ir eq_sig = func_ir.decl.sig strict_typing = builder.options.strict_dunders_typing with builder.enter_method(cls, "__ne__", eq_sig.ret_type): rhs_type = eq_sig.args[0].type if strict_typing else object_rprimitive rhs_arg = builder.add_argument("rhs", rhs_type) eqval = builder.add(MethodCall(builder.self(), "__eq__", [rhs_arg], line)) can_return_not_implemented = is_subtype(not_implemented_op.type, eq_sig.ret_type) return_bool = is_subtype(eq_sig.ret_type, bool_rprimitive) if not strict_typing or can_return_not_implemented: # If __eq__ returns NotImplemented, then __ne__ should also not_implemented_block, regular_block = BasicBlock(), BasicBlock() not_implemented = builder.add( LoadAddress(not_implemented_op.type, not_implemented_op.src, line) ) builder.add( Branch( builder.translate_is_op(eqval, not_implemented, "is", line), not_implemented_block, regular_block, Branch.BOOL, ) ) builder.activate_block(regular_block) rettype = bool_rprimitive if return_bool and strict_typing else object_rprimitive retval = builder.coerce( builder.builder.unary_not(eqval, line, likely_bool=True), rettype, line ) builder.add(Return(retval)) builder.activate_block(not_implemented_block) builder.add(Return(not_implemented)) else: rettype = bool_rprimitive if return_bool and strict_typing else object_rprimitive retval = builder.coerce(builder.unary_op(eqval, "not", line), rettype, line) builder.add(Return(retval)) def load_non_ext_class( builder: IRBuilder, ir: ClassIR, non_ext: NonExtClassInfo, line: int ) -> Value: cls_name = builder.load_str(ir.name) add_dunders_to_non_ext_dict(builder, non_ext, line) class_type_obj = builder.py_call( non_ext.metaclass, [cls_name, non_ext.bases, non_ext.dict], line ) return class_type_obj def load_decorated_class(builder: IRBuilder, cdef: ClassDef, type_obj: Value) -> Value: """Apply class decorators to create a decorated (non-extension) class object. Given a decorated ClassDef and a register containing a non-extension representation of the ClassDef created via the type constructor, applies the corresponding decorator functions on that decorated ClassDef and returns a register containing the decorated ClassDef. """ decorators = cdef.decorators dec_class = type_obj for d in reversed(decorators): decorator = d.accept(builder.visitor) assert isinstance(decorator, Value), decorator dec_class = builder.py_call(decorator, [dec_class], dec_class.line) return dec_class def cache_class_attrs( builder: IRBuilder, attrs_to_cache: list[tuple[Lvalue, RType]], cdef: ClassDef ) -> None: """Add class attributes to be cached to the global cache.""" typ = builder.load_native_type_object(cdef.info.fullname) for lval, rtype in attrs_to_cache: assert isinstance(lval, NameExpr), lval rval = builder.py_get_attr(typ, lval.name, cdef.line) builder.init_final_static(lval, rval, cdef.name, type_override=rtype) def create_mypyc_attrs_tuple(builder: IRBuilder, ir: ClassIR, line: int) -> Value: attrs = [name for ancestor in ir.mro for name in ancestor.attributes] if ir.inherits_python: attrs.append("__dict__") items = [builder.load_str(attr) for attr in attrs] return builder.new_tuple(items, line) def add_dunders_to_non_ext_dict( builder: IRBuilder, non_ext: NonExtClassInfo, line: int, add_annotations: bool = True ) -> None: if add_annotations: # Add __annotations__ to the class dict. builder.add_to_non_ext_dict(non_ext, "__annotations__", non_ext.anns, line) # We add a __doc__ attribute so if the non-extension class is decorated with the # dataclass decorator, dataclass will not try to look for __text_signature__. # https://github.com/python/cpython/blob/3.7/Lib/dataclasses.py#L957 filler_doc_str = "mypyc filler docstring" builder.add_to_non_ext_dict(non_ext, "__doc__", builder.load_str(filler_doc_str), line) builder.add_to_non_ext_dict(non_ext, "__module__", builder.load_str(builder.module_name), line) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/constant_fold.py0000644000175100017510000000642115112307767020264 0ustar00runnerrunner"""Constant folding of IR values. For example, 3 + 5 can be constant folded into 8. This is mostly like mypy.constant_fold, but we can bind some additional NameExpr and MemberExpr references here, since we have more knowledge about which definitions can be trusted -- we constant fold only references to other compiled modules in the same compilation unit. """ from __future__ import annotations from typing import TYPE_CHECKING, Final, Union from mypy.constant_fold import constant_fold_binary_op, constant_fold_unary_op from mypy.nodes import ( BytesExpr, ComplexExpr, Expression, FloatExpr, IntExpr, MemberExpr, NameExpr, OpExpr, StrExpr, UnaryExpr, Var, ) from mypyc.irbuild.util import bytes_from_str if TYPE_CHECKING: from mypyc.irbuild.builder import IRBuilder # All possible result types of constant folding ConstantValue = Union[int, float, complex, str, bytes] CONST_TYPES: Final = (int, float, complex, str, bytes) def constant_fold_expr(builder: IRBuilder, expr: Expression) -> ConstantValue | None: """Return the constant value of an expression for supported operations. Return None otherwise. """ if isinstance(expr, IntExpr): return expr.value if isinstance(expr, FloatExpr): return expr.value if isinstance(expr, StrExpr): return expr.value if isinstance(expr, BytesExpr): return bytes_from_str(expr.value) if isinstance(expr, ComplexExpr): return expr.value elif isinstance(expr, NameExpr): node = expr.node if isinstance(node, Var) and node.is_final: final_value = node.final_value if isinstance(final_value, (CONST_TYPES)): return final_value elif isinstance(expr, MemberExpr): final = builder.get_final_ref(expr) if final is not None: fn, final_var, native = final if final_var.is_final: final_value = final_var.final_value if isinstance(final_value, (CONST_TYPES)): return final_value elif isinstance(expr, OpExpr): left = constant_fold_expr(builder, expr.left) right = constant_fold_expr(builder, expr.right) if left is not None and right is not None: return constant_fold_binary_op_extended(expr.op, left, right) elif isinstance(expr, UnaryExpr): value = constant_fold_expr(builder, expr.expr) if value is not None and not isinstance(value, bytes): return constant_fold_unary_op(expr.op, value) return None def constant_fold_binary_op_extended( op: str, left: ConstantValue, right: ConstantValue ) -> ConstantValue | None: """Like mypy's constant_fold_binary_op(), but includes bytes support. mypy cannot use constant folded bytes easily so it's simpler to only support them in mypyc. """ if not isinstance(left, bytes) and not isinstance(right, bytes): return constant_fold_binary_op(op, left, right) if op == "+" and isinstance(left, bytes) and isinstance(right, bytes): return left + right elif op == "*" and isinstance(left, bytes) and isinstance(right, int): return left * right elif op == "*" and isinstance(left, int) and isinstance(right, bytes): return left * right return None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/context.py0000644000175100017510000001643015112307767017114 0ustar00runnerrunner"""Helpers that store information about functions and the related classes.""" from __future__ import annotations from mypy.nodes import FuncItem from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import INVALID_FUNC_DEF from mypyc.ir.ops import BasicBlock, Value from mypyc.irbuild.targets import AssignmentTarget class FuncInfo: """Contains information about functions as they are generated.""" def __init__( self, fitem: FuncItem = INVALID_FUNC_DEF, name: str = "", class_name: str | None = None, namespace: str = "", is_nested: bool = False, contains_nested: bool = False, is_decorated: bool = False, in_non_ext: bool = False, add_nested_funcs_to_env: bool = False, ) -> None: self.fitem = fitem self.name = name self.class_name = class_name self.ns = namespace # Callable classes implement the '__call__' method, and are used to represent functions # that are nested inside of other functions. self._callable_class: ImplicitClass | None = None # Environment classes are ClassIR instances that contain attributes representing the # variables in the environment of the function they correspond to. Environment classes are # generated for functions that contain nested functions. self._env_class: ClassIR | None = None # Generator classes implement the '__next__' method, and are used to represent generators # returned by generator functions. self._generator_class: GeneratorClass | None = None # Environment class registers are the local registers associated with instances of an # environment class, used for getting and setting attributes. curr_env_reg is the register # associated with the current environment. self._curr_env_reg: Value | None = None # These are flags denoting whether a given function is nested, contains a nested function, # is decorated, or is within a non-extension class. self.is_nested = is_nested self.contains_nested = contains_nested self.is_decorated = is_decorated self.in_non_ext = in_non_ext self.add_nested_funcs_to_env = add_nested_funcs_to_env # TODO: add field for ret_type: RType = none_rprimitive def namespaced_name(self) -> str: return "_".join(x for x in [self.name, self.class_name, self.ns] if x) @property def is_generator(self) -> bool: return self.fitem.is_generator or self.fitem.is_coroutine @property def is_coroutine(self) -> bool: return self.fitem.is_coroutine @property def callable_class(self) -> ImplicitClass: assert self._callable_class is not None return self._callable_class @callable_class.setter def callable_class(self, cls: ImplicitClass) -> None: self._callable_class = cls @property def env_class(self) -> ClassIR: assert self._env_class is not None return self._env_class @env_class.setter def env_class(self, ir: ClassIR) -> None: self._env_class = ir @property def generator_class(self) -> GeneratorClass: assert self._generator_class is not None return self._generator_class @generator_class.setter def generator_class(self, cls: GeneratorClass) -> None: self._generator_class = cls @property def curr_env_reg(self) -> Value: assert self._curr_env_reg is not None return self._curr_env_reg def can_merge_generator_and_env_classes(self) -> bool: # In simple cases we can place the environment into the generator class, # instead of having two separate classes. if self._generator_class and not self._generator_class.ir.is_final_class: result = False else: result = self.is_generator and not self.is_nested and not self.contains_nested return result class ImplicitClass: """Contains information regarding implicitly generated classes. Implicit classes are generated for nested functions and generator functions. They are not explicitly defined in the source code. NOTE: This is both a concrete class and used as a base class. """ def __init__(self, ir: ClassIR) -> None: # The ClassIR instance associated with this class. self.ir = ir # The register associated with the 'self' instance for this generator class. self._self_reg: Value | None = None # Environment class registers are the local registers associated with instances of an # environment class, used for getting and setting attributes. curr_env_reg is the register # associated with the current environment. prev_env_reg is the self.__mypyc_env__ field # associated with the previous environment. self._curr_env_reg: Value | None = None self._prev_env_reg: Value | None = None @property def self_reg(self) -> Value: assert self._self_reg is not None return self._self_reg @self_reg.setter def self_reg(self, reg: Value) -> None: self._self_reg = reg @property def curr_env_reg(self) -> Value: assert self._curr_env_reg is not None return self._curr_env_reg @curr_env_reg.setter def curr_env_reg(self, reg: Value) -> None: self._curr_env_reg = reg @property def prev_env_reg(self) -> Value: assert self._prev_env_reg is not None return self._prev_env_reg @prev_env_reg.setter def prev_env_reg(self, reg: Value) -> None: self._prev_env_reg = reg class GeneratorClass(ImplicitClass): """Contains information about implicit generator function classes.""" def __init__(self, ir: ClassIR) -> None: super().__init__(ir) # This register holds the label number that the '__next__' function should go to the next # time it is called. self._next_label_reg: Value | None = None self._next_label_target: AssignmentTarget | None = None # These registers hold the error values for the generator object for the case that the # 'throw' function is called. self.exc_regs: tuple[Value, Value, Value] | None = None # Holds the arg passed to send self.send_arg_reg: Value | None = None # Holds the PyObject ** pointer through which return value can be passed # instead of raising StopIteration(ret_value) (only if not NULL). This # is used for faster native-to-native calls. self.stop_iter_value_reg: Value | None = None # The switch block is used to decide which instruction to go using the value held in the # next-label register. self.switch_block = BasicBlock() self.continuation_blocks: list[BasicBlock] = [] @property def next_label_reg(self) -> Value: assert self._next_label_reg is not None return self._next_label_reg @next_label_reg.setter def next_label_reg(self, reg: Value) -> None: self._next_label_reg = reg @property def next_label_target(self) -> AssignmentTarget: assert self._next_label_target is not None return self._next_label_target @next_label_target.setter def next_label_target(self, target: AssignmentTarget) -> None: self._next_label_target = target ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/env_class.py0000644000175100017510000002675315112307767017416 0ustar00runnerrunner"""Generate classes representing function environments (+ related operations). If we have a nested function that has non-local (free) variables, access to the non-locals is via an instance of an environment class. Example: def f() -> int: x = 0 # Make 'x' an attribute of an environment class instance def g() -> int: # We have access to the environment class instance to # allow accessing 'x' return x + 2 x = x + 1 # Modify the attribute return g() """ from __future__ import annotations from mypy.nodes import Argument, FuncDef, SymbolNode, Var from mypyc.common import ( BITMAP_BITS, ENV_ATTR_NAME, GENERATOR_ATTRIBUTE_PREFIX, SELF_NAME, bitmap_name, ) from mypyc.ir.class_ir import ClassIR from mypyc.ir.ops import Call, GetAttr, SetAttr, Value from mypyc.ir.rtypes import RInstance, bitmap_rprimitive, object_rprimitive from mypyc.irbuild.builder import IRBuilder, SymbolTarget from mypyc.irbuild.context import FuncInfo, GeneratorClass, ImplicitClass from mypyc.irbuild.targets import AssignmentTargetAttr def setup_env_class(builder: IRBuilder) -> ClassIR: """Generate a class representing a function environment. Note that the variables in the function environment are not actually populated here. This is because when the environment class is generated, the function environment has not yet been visited. This behavior is allowed so that when the compiler visits nested functions, it can use the returned ClassIR instance to figure out free variables it needs to access. The remaining attributes of the environment class are populated when the environment registers are loaded. Return a ClassIR representing an environment for a function containing a nested function. """ env_class = ClassIR( f"{builder.fn_info.namespaced_name()}_env", builder.module_name, is_generated=True, is_final_class=True, ) env_class.reuse_freed_instance = True env_class.attributes[SELF_NAME] = RInstance(env_class) if builder.fn_info.is_nested: # If the function is nested, its environment class must contain an environment # attribute pointing to its encapsulating functions' environment class. env_class.attributes[ENV_ATTR_NAME] = RInstance(builder.fn_infos[-2].env_class) env_class.mro = [env_class] builder.fn_info.env_class = env_class builder.classes.append(env_class) return env_class def finalize_env_class(builder: IRBuilder, prefix: str = "") -> None: """Generate, instantiate, and set up the environment of an environment class.""" if not builder.fn_info.can_merge_generator_and_env_classes(): instantiate_env_class(builder) # Iterate through the function arguments and replace local definitions (using registers) # that were previously added to the environment with references to the function's # environment class. if builder.fn_info.is_nested: add_args_to_env(builder, local=False, base=builder.fn_info.callable_class, prefix=prefix) else: add_args_to_env(builder, local=False, base=builder.fn_info, prefix=prefix) def instantiate_env_class(builder: IRBuilder) -> Value: """Assign an environment class to a register named after the given function definition.""" curr_env_reg = builder.add( Call(builder.fn_info.env_class.ctor, [], builder.fn_info.fitem.line) ) if builder.fn_info.is_nested: builder.fn_info.callable_class._curr_env_reg = curr_env_reg builder.add( SetAttr( curr_env_reg, ENV_ATTR_NAME, builder.fn_info.callable_class.prev_env_reg, builder.fn_info.fitem.line, ) ) else: builder.fn_info._curr_env_reg = curr_env_reg return curr_env_reg def load_env_registers(builder: IRBuilder, prefix: str = "") -> None: """Load the registers for the current FuncItem being visited. Adds the arguments of the FuncItem to the environment. If the FuncItem is nested inside of another function, then this also loads all of the outer environments of the FuncItem into registers so that they can be used when accessing free variables. """ add_args_to_env(builder, local=True, prefix=prefix) fn_info = builder.fn_info fitem = fn_info.fitem if fn_info.is_nested: load_outer_envs(builder, fn_info.callable_class) # If this is a FuncDef, then make sure to load the FuncDef into its own environment # class so that the function can be called recursively. if isinstance(fitem, FuncDef) and fn_info.add_nested_funcs_to_env: setup_func_for_recursive_call(builder, fitem, fn_info.callable_class, prefix=prefix) def load_outer_env( builder: IRBuilder, base: Value, outer_env: dict[SymbolNode, SymbolTarget] ) -> Value: """Load the environment class for a given base into a register. Additionally, iterates through all of the SymbolNode and AssignmentTarget instances of the environment at the given index's symtable, and adds those instances to the environment of the current environment. This is done so that the current environment can access outer environment variables without having to reload all of the environment registers. Returns the register where the environment class was loaded. """ env = builder.add(GetAttr(base, ENV_ATTR_NAME, builder.fn_info.fitem.line)) assert isinstance(env.type, RInstance), f"{env} must be of type RInstance" for symbol, target in outer_env.items(): attr_name = symbol.name if isinstance(target, AssignmentTargetAttr): attr_name = target.attr env.type.class_ir.attributes[attr_name] = target.type symbol_target = AssignmentTargetAttr(env, attr_name) builder.add_target(symbol, symbol_target) return env def load_outer_envs(builder: IRBuilder, base: ImplicitClass) -> None: index = len(builder.builders) - 2 # Load the first outer environment. This one is special because it gets saved in the # FuncInfo instance's prev_env_reg field. if index > 1: # outer_env = builder.fn_infos[index].environment outer_env = builder.symtables[index] if isinstance(base, GeneratorClass): base.prev_env_reg = load_outer_env(builder, base.curr_env_reg, outer_env) else: base.prev_env_reg = load_outer_env(builder, base.self_reg, outer_env) env_reg = base.prev_env_reg index -= 1 # Load the remaining outer environments into registers. while index > 1: # outer_env = builder.fn_infos[index].environment outer_env = builder.symtables[index] env_reg = load_outer_env(builder, env_reg, outer_env) index -= 1 def num_bitmap_args(builder: IRBuilder, args: list[Argument]) -> int: n = 0 for arg in args: t = builder.type_to_rtype(arg.variable.type) if t.error_overlap and arg.kind.is_optional(): n += 1 return (n + (BITMAP_BITS - 1)) // BITMAP_BITS def add_args_to_env( builder: IRBuilder, local: bool = True, base: FuncInfo | ImplicitClass | None = None, reassign: bool = True, prefix: str = "", ) -> None: fn_info = builder.fn_info args = fn_info.fitem.arguments nb = num_bitmap_args(builder, args) if local: for arg in args: rtype = builder.type_to_rtype(arg.variable.type) builder.add_local_reg(arg.variable, rtype, is_arg=True) for i in reversed(range(nb)): builder.add_local_reg(Var(bitmap_name(i)), bitmap_rprimitive, is_arg=True) else: for arg in args: if is_free_variable(builder, arg.variable) or fn_info.is_generator: rtype = builder.type_to_rtype(arg.variable.type) assert base is not None, "base cannot be None for adding nonlocal args" builder.add_var_to_env_class( arg.variable, rtype, base, reassign=reassign, prefix=prefix ) def add_vars_to_env(builder: IRBuilder, prefix: str = "") -> None: """Add relevant local variables and nested functions to the environment class. Add all variables and functions that are declared/defined within current function and are referenced in functions nested within this one to this function's environment class so the nested functions can reference them even if they are declared after the nested function's definition. Note that this is done before visiting the body of the function. """ env_for_func: FuncInfo | ImplicitClass = builder.fn_info if builder.fn_info.is_generator: env_for_func = builder.fn_info.generator_class elif builder.fn_info.is_nested or builder.fn_info.in_non_ext: env_for_func = builder.fn_info.callable_class if builder.fn_info.fitem in builder.free_variables: # Sort the variables to keep things deterministic for var in sorted(builder.free_variables[builder.fn_info.fitem], key=lambda x: x.name): if isinstance(var, Var): rtype = builder.type_to_rtype(var.type) builder.add_var_to_env_class( var, rtype, env_for_func, reassign=False, prefix=prefix ) if builder.fn_info.fitem in builder.encapsulating_funcs: for nested_fn in builder.encapsulating_funcs[builder.fn_info.fitem]: if isinstance(nested_fn, FuncDef): # The return type is 'object' instead of an RInstance of the # callable class because differently defined functions with # the same name and signature across conditional blocks # will generate different callable classes, so the callable # class that gets instantiated must be generic. if nested_fn.is_generator: prefix = GENERATOR_ATTRIBUTE_PREFIX builder.add_var_to_env_class( nested_fn, object_rprimitive, env_for_func, reassign=False, prefix=prefix ) def setup_func_for_recursive_call( builder: IRBuilder, fdef: FuncDef, base: ImplicitClass, prefix: str = "" ) -> None: """Enable calling a nested function (with a callable class) recursively. Adds the instance of the callable class representing the given FuncDef to a register in the environment so that the function can be called recursively. Note that this needs to be done only for nested functions. """ # First, set the attribute of the environment class so that GetAttr can be called on it. prev_env = builder.fn_infos[-2].env_class attr_name = prefix + fdef.name prev_env.attributes[attr_name] = builder.type_to_rtype(fdef.type) if isinstance(base, GeneratorClass): # If we are dealing with a generator class, then we need to first get the register # holding the current environment class, and load the previous environment class from # there. prev_env_reg = builder.add(GetAttr(base.curr_env_reg, ENV_ATTR_NAME, -1)) else: prev_env_reg = base.prev_env_reg # Obtain the instance of the callable class representing the FuncDef, and add it to the # current environment. val = builder.add(GetAttr(prev_env_reg, attr_name, -1)) target = builder.add_local_reg(fdef, object_rprimitive) builder.assign(target, val, -1) def is_free_variable(builder: IRBuilder, symbol: SymbolNode) -> bool: fitem = builder.fn_info.fitem return fitem in builder.free_variables and symbol in builder.free_variables[fitem] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/expression.py0000644000175100017510000012040415112307767017624 0ustar00runnerrunner"""Transform mypy expression ASTs to mypyc IR (Intermediate Representation). The top-level AST transformation logic is implemented in mypyc.irbuild.visitor and mypyc.irbuild.builder. """ from __future__ import annotations import math from collections.abc import Sequence from typing import Callable from mypy.nodes import ( ARG_NAMED, ARG_POS, LDEF, AssertTypeExpr, AssignmentExpr, BytesExpr, CallExpr, CastExpr, ComparisonExpr, ComplexExpr, ConditionalExpr, DictExpr, DictionaryComprehension, EllipsisExpr, Expression, FloatExpr, GeneratorExpr, IndexExpr, IntExpr, ListComprehension, ListExpr, MemberExpr, MypyFile, NameExpr, OpExpr, RefExpr, SetComprehension, SetExpr, SliceExpr, StarExpr, StrExpr, SuperExpr, TupleExpr, TypeApplication, TypeInfo, TypeVarLikeExpr, UnaryExpr, Var, ) from mypy.types import Instance, ProperType, TupleType, TypeType, get_proper_type from mypyc.common import MAX_SHORT_INT from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FUNC_CLASSMETHOD, FUNC_STATICMETHOD from mypyc.ir.ops import ( Assign, BasicBlock, ComparisonOp, Integer, LoadAddress, LoadLiteral, PrimitiveDescription, RaiseStandardError, Register, TupleGet, TupleSet, Value, ) from mypyc.ir.rtypes import ( RInstance, RTuple, bool_rprimitive, int_rprimitive, is_fixed_width_rtype, is_int_rprimitive, is_list_rprimitive, is_none_rprimitive, is_object_rprimitive, object_rprimitive, set_rprimitive, ) from mypyc.irbuild.ast_helpers import is_borrow_friendly_expr, process_conditional from mypyc.irbuild.builder import IRBuilder, int_borrow_friendly_op from mypyc.irbuild.constant_fold import constant_fold_expr from mypyc.irbuild.for_helpers import ( comprehension_helper, raise_error_if_contains_unreachable_names, translate_list_comprehension, translate_set_comprehension, ) from mypyc.irbuild.format_str_tokenizer import ( convert_format_expr_to_bytes, convert_format_expr_to_str, join_formatted_bytes, join_formatted_strings, tokenizer_printf_style, ) from mypyc.irbuild.specialize import ( apply_function_specialization, apply_method_specialization, translate_object_new, translate_object_setattr, ) from mypyc.primitives.bytes_ops import bytes_slice_op from mypyc.primitives.dict_ops import dict_get_item_op, dict_new_op, exact_dict_set_item_op from mypyc.primitives.generic_ops import iter_op, name_op from mypyc.primitives.list_ops import list_append_op, list_extend_op, list_slice_op from mypyc.primitives.misc_ops import ellipsis_op, get_module_dict_op, new_slice_op, type_op from mypyc.primitives.registry import builtin_names from mypyc.primitives.set_ops import set_add_op, set_in_op, set_update_op from mypyc.primitives.str_ops import str_slice_op from mypyc.primitives.tuple_ops import list_tuple_op, tuple_slice_op # Name and attribute references def transform_name_expr(builder: IRBuilder, expr: NameExpr) -> Value: if isinstance(expr.node, TypeVarLikeExpr) and expr.node.is_new_style: # Reference to Python 3.12 implicit TypeVar/TupleVarTuple/... object. # These are stored in C statics and not visible in Python namespaces. return builder.load_type_var(expr.node.name, expr.node.line) if expr.node is None: builder.add( RaiseStandardError( RaiseStandardError.NAME_ERROR, f'name "{expr.name}" is not defined', expr.line ) ) return builder.none() fullname = expr.node.fullname if fullname in builtin_names: typ, src = builtin_names[fullname] return builder.add(LoadAddress(typ, src, expr.line)) # special cases if fullname == "builtins.None": return builder.none() if fullname == "builtins.True": return builder.true() if fullname == "builtins.False": return builder.false() if fullname in ("typing.TYPE_CHECKING", "typing_extensions.TYPE_CHECKING"): return builder.false() math_literal = transform_math_literal(builder, fullname) if math_literal is not None: return math_literal if isinstance(expr.node, Var) and expr.node.is_final: value = builder.emit_load_final( expr.node, fullname, expr.name, builder.is_native_ref_expr(expr), builder.types[expr], expr.line, ) if value is not None: return value if isinstance(expr.node, MypyFile) and expr.node.fullname in builder.imports: return builder.load_module(expr.node.fullname) # If the expression is locally defined, then read the result from the corresponding # assignment target and return it. Otherwise if the expression is a global, load it from # the globals dictionary. # Except for imports, that currently always happens in the global namespace. if expr.kind == LDEF and not (isinstance(expr.node, Var) and expr.node.is_suppressed_import): # Try to detect and error when we hit the irritating mypy bug # where a local variable is cast to None. (#5423) if ( isinstance(expr.node, Var) and is_none_rprimitive(builder.node_type(expr)) and expr.node.is_inferred ): builder.error( 'Local variable "{}" has inferred type None; add an annotation'.format( expr.node.name ), expr.node.line, ) # TODO: Behavior currently only defined for Var, FuncDef and MypyFile node types. if isinstance(expr.node, MypyFile): # Load reference to a module imported inside function from # the modules dictionary. It would be closer to Python # semantics to access modules imported inside functions # via local variables, but this is tricky since the mypy # AST doesn't include a Var node for the module. We # instead load the module separately on each access. mod_dict = builder.call_c(get_module_dict_op, [], expr.line) obj = builder.primitive_op( dict_get_item_op, [mod_dict, builder.load_str(expr.node.fullname)], expr.line ) return obj else: return builder.read(builder.get_assignment_target(expr, for_read=True), expr.line) return builder.load_global(expr) def transform_member_expr(builder: IRBuilder, expr: MemberExpr) -> Value: # Special Cases if expr.fullname in ("typing.TYPE_CHECKING", "typing_extensions.TYPE_CHECKING"): return builder.false() # First check if this is maybe a final attribute. final = builder.get_final_ref(expr) if final is not None: fullname, final_var, native = final value = builder.emit_load_final( final_var, fullname, final_var.name, native, builder.types[expr], expr.line ) if value is not None: return value math_literal = transform_math_literal(builder, expr.fullname) if math_literal is not None: return math_literal if isinstance(expr.node, MypyFile) and expr.node.fullname in builder.imports: return builder.load_module(expr.node.fullname) can_borrow = builder.is_native_attr_ref(expr) obj = builder.accept(expr.expr, can_borrow=can_borrow) rtype = builder.node_type(expr) if ( is_object_rprimitive(obj.type) and expr.name == "__name__" and builder.options.capi_version >= (3, 11) ): return builder.primitive_op(name_op, [obj], expr.line) if isinstance(obj.type, RInstance) and expr.name == "__class__": # A non-native class could override "__class__" using "__getattribute__", so # only apply to RInstance types. return builder.primitive_op(type_op, [obj], expr.line) # Special case: for named tuples transform attribute access to faster index access. typ = get_proper_type(builder.types.get(expr.expr)) if isinstance(typ, TupleType) and typ.partial_fallback.type.is_named_tuple: fields = typ.partial_fallback.type.metadata["namedtuple"]["fields"] if expr.name in fields: index = builder.builder.load_int(fields.index(expr.name)) return builder.gen_method_call(obj, "__getitem__", [index], rtype, expr.line) check_instance_attribute_access_through_class(builder, expr, typ) borrow = can_borrow and builder.can_borrow return builder.builder.get_attr(obj, expr.name, rtype, expr.line, borrow=borrow) def check_instance_attribute_access_through_class( builder: IRBuilder, expr: MemberExpr, typ: ProperType | None ) -> None: """Report error if accessing an instance attribute through class object.""" if isinstance(expr.expr, RefExpr): node = expr.expr.node if isinstance(typ, TypeType) and isinstance(typ.item, Instance): # TODO: Handle other item types node = typ.item.type if isinstance(node, TypeInfo): class_ir = builder.mapper.type_to_ir.get(node) if class_ir is not None and class_ir.is_ext_class: sym = node.get(expr.name) if ( sym is not None and isinstance(sym.node, Var) and not sym.node.is_classvar and not sym.node.is_final ): builder.error( 'Cannot access instance attribute "{}" through class object'.format( expr.name ), expr.line, ) builder.note( '(Hint: Use "x: Final = ..." or "x: ClassVar = ..." to define ' "a class attribute)", expr.line, ) def transform_super_expr(builder: IRBuilder, o: SuperExpr) -> Value: # warning(builder, 'can not optimize super() expression', o.line) sup_val = builder.load_module_attr_by_fullname("builtins.super", o.line) if o.call.args: args = [builder.accept(arg) for arg in o.call.args] else: assert o.info is not None typ = builder.load_native_type_object(o.info.fullname) ir = builder.mapper.type_to_ir[o.info] iter_env = iter(builder.builder.args) # Grab first argument vself: Value = next(iter_env) if builder.fn_info.is_generator: # grab seventh argument (see comment in translate_super_method_call) self_targ = list(builder.symtables[-1].values())[7] vself = builder.read(self_targ, builder.fn_info.fitem.line) elif not ir.is_ext_class: vself = next(iter_env) # second argument is self if non_extension class args = [typ, vself] res = builder.py_call(sup_val, args, o.line) return builder.py_get_attr(res, o.name, o.line) # Calls def transform_call_expr(builder: IRBuilder, expr: CallExpr) -> Value: callee = expr.callee if isinstance(expr.analyzed, CastExpr): return translate_cast_expr(builder, expr.analyzed) elif isinstance(expr.analyzed, AssertTypeExpr): # Compile to a no-op. return builder.accept(expr.analyzed.expr) elif ( isinstance(callee, (NameExpr, MemberExpr)) and isinstance(callee.node, TypeInfo) and callee.node.is_newtype ): # A call to a NewType type is a no-op at runtime. return builder.accept(expr.args[0]) if isinstance(callee, IndexExpr) and isinstance(callee.analyzed, TypeApplication): callee = callee.analyzed.expr # Unwrap type application if isinstance(callee, MemberExpr): if isinstance(callee.expr, RefExpr) and isinstance(callee.expr.node, MypyFile): # Call a module-level function, not a method. return translate_call(builder, expr, callee) return apply_method_specialization(builder, expr, callee) or translate_method_call( builder, expr, callee ) elif isinstance(callee, SuperExpr): return translate_super_method_call(builder, expr, callee) else: return translate_call(builder, expr, callee) def translate_call(builder: IRBuilder, expr: CallExpr, callee: Expression) -> Value: # The common case of calls is refexprs if isinstance(callee, RefExpr): return apply_function_specialization(builder, expr, callee) or translate_refexpr_call( builder, expr, callee ) function = builder.accept(callee) args = [builder.accept(arg) for arg in expr.args] return builder.py_call( function, args, expr.line, arg_kinds=expr.arg_kinds, arg_names=expr.arg_names ) def translate_refexpr_call(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value: """Translate a non-method call.""" # Gen the argument values arg_values = [builder.accept(arg) for arg in expr.args] return builder.call_refexpr_with_args(expr, callee, arg_values) def translate_method_call(builder: IRBuilder, expr: CallExpr, callee: MemberExpr) -> Value: """Generate IR for an arbitrary call of form e.m(...). This can also deal with calls to module-level functions. """ if builder.is_native_ref_expr(callee): # Call to module-level native function or such return translate_call(builder, expr, callee) elif ( isinstance(callee.expr, RefExpr) and isinstance(callee.expr.node, TypeInfo) and callee.expr.node in builder.mapper.type_to_ir and builder.mapper.type_to_ir[callee.expr.node].has_method(callee.name) and all(kind in (ARG_POS, ARG_NAMED) for kind in expr.arg_kinds) ): # Call a method via the *class* assert isinstance(callee.expr.node, TypeInfo), callee.expr.node ir = builder.mapper.type_to_ir[callee.expr.node] return call_classmethod(builder, ir, expr, callee) elif builder.is_module_member_expr(callee): # Fall back to a PyCall for non-native module calls function = builder.accept(callee) args = [builder.accept(arg) for arg in expr.args] return builder.py_call( function, args, expr.line, arg_kinds=expr.arg_kinds, arg_names=expr.arg_names ) else: if isinstance(callee.expr, RefExpr): node = callee.expr.node if isinstance(node, Var) and node.is_cls: typ = get_proper_type(node.type) if isinstance(typ, TypeType) and isinstance(typ.item, Instance): class_ir = builder.mapper.type_to_ir.get(typ.item.type) if class_ir and class_ir.is_ext_class and class_ir.has_no_subclasses(): # Call a native classmethod via cls that can be statically bound, # since the class has no subclasses. return call_classmethod(builder, class_ir, expr, callee) receiver_typ = builder.node_type(callee.expr) # If there is a specializer for this method name/type, try calling it. # We would return the first successful one. val = apply_method_specialization(builder, expr, callee, receiver_typ) if val is not None: return val obj = builder.accept(callee.expr) args = [builder.accept(arg) for arg in expr.args] return builder.gen_method_call( obj, callee.name, args, builder.node_type(expr), expr.line, expr.arg_kinds, expr.arg_names, ) def call_classmethod(builder: IRBuilder, ir: ClassIR, expr: CallExpr, callee: MemberExpr) -> Value: decl = ir.method_decl(callee.name) args = [] arg_kinds, arg_names = expr.arg_kinds.copy(), expr.arg_names.copy() # Add the class argument for class methods in extension classes if decl.kind == FUNC_CLASSMETHOD and ir.is_ext_class: args.append(builder.load_native_type_object(ir.fullname)) arg_kinds.insert(0, ARG_POS) arg_names.insert(0, None) args += [builder.accept(arg) for arg in expr.args] if ir.is_ext_class: return builder.builder.call(decl, args, arg_kinds, arg_names, expr.line) else: obj = builder.accept(callee.expr) return builder.gen_method_call( obj, callee.name, args, builder.node_type(expr), expr.line, expr.arg_kinds, expr.arg_names, ) def translate_super_method_call(builder: IRBuilder, expr: CallExpr, callee: SuperExpr) -> Value: if callee.info is None or (len(callee.call.args) != 0 and len(callee.call.args) != 2): return translate_call(builder, expr, callee) # We support two-argument super but only when it is super(CurrentClass, self) # TODO: We could support it when it is a parent class in many cases? if len(callee.call.args) == 2: self_arg = callee.call.args[1] if ( not isinstance(self_arg, NameExpr) or not isinstance(self_arg.node, Var) or not self_arg.node.is_self ): return translate_call(builder, expr, callee) typ_arg = callee.call.args[0] if ( not isinstance(typ_arg, NameExpr) or not isinstance(typ_arg.node, TypeInfo) or callee.info is not typ_arg.node ): return translate_call(builder, expr, callee) ir = builder.mapper.type_to_ir[callee.info] # Search for the method in the mro, skipping ourselves. We # determine targets of super calls to native methods statically. for base in ir.mro[1:]: if callee.name in base.method_decls: break else: if callee.name == "__new__": result = translate_object_new(builder, expr, MemberExpr(callee.call, "__new__")) if result: return result elif callee.name == "__setattr__": result = translate_object_setattr( builder, expr, MemberExpr(callee.call, "__setattr__") ) if result: return result if ir.is_ext_class and ir.builtin_base is None and not ir.inherits_python: if callee.name == "__init__" and len(expr.args) == 0: # Call translates to object.__init__(self), which is a # no-op, so omit the call. return builder.none() return translate_call(builder, expr, callee) decl = base.method_decl(callee.name) arg_values = [builder.accept(arg) for arg in expr.args] arg_kinds, arg_names = expr.arg_kinds.copy(), expr.arg_names.copy() if decl.kind != FUNC_STATICMETHOD and decl.name != "__new__": # Grab first argument vself: Value = builder.self() if decl.kind == FUNC_CLASSMETHOD: vself = builder.primitive_op(type_op, [vself], expr.line) elif builder.fn_info.is_generator: # For generator classes, the self target is the 7th value # in the symbol table (which is an ordered dict). This is sort # of ugly, but we can't search by name since the 'self' parameter # could be named anything, and it doesn't get added to the # environment indexes. self_targ = list(builder.symtables[-1].values())[7] vself = builder.read(self_targ, builder.fn_info.fitem.line) arg_values.insert(0, vself) arg_kinds.insert(0, ARG_POS) arg_names.insert(0, None) return builder.builder.call(decl, arg_values, arg_kinds, arg_names, expr.line) def translate_cast_expr(builder: IRBuilder, expr: CastExpr) -> Value: src = builder.accept(expr.expr) target_type = builder.type_to_rtype(expr.type) return builder.coerce(src, target_type, expr.line) # Operators def transform_unary_expr(builder: IRBuilder, expr: UnaryExpr) -> Value: folded = try_constant_fold(builder, expr) if folded: return folded return builder.unary_op(builder.accept(expr.expr), expr.op, expr.line) def transform_op_expr(builder: IRBuilder, expr: OpExpr) -> Value: if expr.op in ("and", "or"): return builder.shortcircuit_expr(expr) # Special case for string formatting if expr.op == "%" and isinstance(expr.left, (StrExpr, BytesExpr)): ret = translate_printf_style_formatting(builder, expr.left, expr.right) if ret is not None: return ret folded = try_constant_fold(builder, expr) if folded: return folded borrow_left = False borrow_right = False ltype = builder.node_type(expr.left) rtype = builder.node_type(expr.right) # Special case some int ops to allow borrowing operands. if is_int_rprimitive(ltype) and is_int_rprimitive(rtype): if expr.op == "//": expr = try_optimize_int_floor_divide(builder, expr) if expr.op in int_borrow_friendly_op: borrow_left = is_borrow_friendly_expr(builder, expr.right) borrow_right = True elif is_fixed_width_rtype(ltype) and is_fixed_width_rtype(rtype): borrow_left = is_borrow_friendly_expr(builder, expr.right) borrow_right = True left = builder.accept(expr.left, can_borrow=borrow_left) right = builder.accept(expr.right, can_borrow=borrow_right) return builder.binary_op(left, right, expr.op, expr.line) def try_optimize_int_floor_divide(builder: IRBuilder, expr: OpExpr) -> OpExpr: """Replace // with a power of two with a right shift, if possible.""" divisor = constant_fold_expr(builder, expr.right) if not isinstance(divisor, int): return expr shift = divisor.bit_length() - 1 if 0 < shift < 28 and divisor == (1 << shift): return OpExpr(">>", expr.left, IntExpr(shift)) return expr def transform_index_expr(builder: IRBuilder, expr: IndexExpr) -> Value: index = expr.index base_type = builder.node_type(expr.base) is_list = is_list_rprimitive(base_type) can_borrow_base = is_list and is_borrow_friendly_expr(builder, index) base = builder.accept(expr.base, can_borrow=can_borrow_base) if isinstance(base.type, RTuple): folded_index = constant_fold_expr(builder, index) if isinstance(folded_index, int): length = len(base.type.types) if -length <= folded_index <= length - 1: return builder.add(TupleGet(base, folded_index, expr.line)) if isinstance(index, SliceExpr): value = try_gen_slice_op(builder, base, index) if value: return value index_reg = builder.accept(expr.index, can_borrow=is_list) return builder.gen_method_call( base, "__getitem__", [index_reg], builder.node_type(expr), expr.line ) def try_constant_fold(builder: IRBuilder, expr: Expression) -> Value | None: """Return the constant value of an expression if possible. Return None otherwise. """ value = constant_fold_expr(builder, expr) if value is not None: return builder.load_literal_value(value) return None def try_gen_slice_op(builder: IRBuilder, base: Value, index: SliceExpr) -> Value | None: """Generate specialized slice op for some index expressions. Return None if a specialized op isn't available. This supports obj[x:y], obj[:x], and obj[x:] for a few types. """ if index.stride: # We can only handle the default stride of 1. return None if index.begin_index: begin_type = builder.node_type(index.begin_index) else: begin_type = int_rprimitive if index.end_index: end_type = builder.node_type(index.end_index) else: end_type = int_rprimitive # Both begin and end index must be int (or missing). if is_int_rprimitive(begin_type) and is_int_rprimitive(end_type): if index.begin_index: begin = builder.accept(index.begin_index) else: begin = builder.load_int(0) if index.end_index: end = builder.accept(index.end_index) else: # Replace missing end index with the largest short integer # (a sequence can't be longer). end = builder.load_int(MAX_SHORT_INT) candidates = [list_slice_op, tuple_slice_op, str_slice_op, bytes_slice_op] return builder.builder.matching_call_c(candidates, [base, begin, end], index.line) return None def transform_conditional_expr(builder: IRBuilder, expr: ConditionalExpr) -> Value: if_body, else_body, next_block = BasicBlock(), BasicBlock(), BasicBlock() process_conditional(builder, expr.cond, if_body, else_body) expr_type = builder.node_type(expr) # Having actual Phi nodes would be really nice here! target = Register(expr_type) builder.activate_block(if_body) true_value = builder.accept(expr.if_expr) true_value = builder.coerce(true_value, expr_type, expr.line) builder.add(Assign(target, true_value)) builder.goto(next_block) builder.activate_block(else_body) false_value = builder.accept(expr.else_expr) false_value = builder.coerce(false_value, expr_type, expr.line) builder.add(Assign(target, false_value)) builder.goto(next_block) builder.activate_block(next_block) return target def set_literal_values(builder: IRBuilder, items: Sequence[Expression]) -> list[object] | None: values: list[object] = [] for item in items: const_value = constant_fold_expr(builder, item) if const_value is not None: values.append(const_value) continue if isinstance(item, RefExpr): if item.fullname == "builtins.None": values.append(None) elif item.fullname == "builtins.True": values.append(True) elif item.fullname == "builtins.False": values.append(False) elif isinstance(item, TupleExpr): tuple_values = set_literal_values(builder, item.items) if tuple_values is not None: values.append(tuple(tuple_values)) if len(values) != len(items): # Bail if not all items can be converted into values. return None return values def precompute_set_literal(builder: IRBuilder, s: SetExpr) -> Value | None: """Try to pre-compute a frozenset literal during module initialization. Return None if it's not possible. Supported items: - Anything supported by irbuild.constant_fold.constant_fold_expr() - None, True, and False - Tuple literals with only items listed above """ values = set_literal_values(builder, s.items) if values is not None: return builder.add(LoadLiteral(frozenset(values), set_rprimitive)) return None def transform_comparison_expr(builder: IRBuilder, e: ComparisonExpr) -> Value: # x in (...)/[...] # x not in (...)/[...] first_op = e.operators[0] if first_op in ["in", "not in"] and len(e.operators) == 1: result = try_specialize_in_expr(builder, first_op, e.operands[0], e.operands[1], e.line) if result is not None: return result if len(e.operators) == 1: # Special some common simple cases if first_op in ("is", "is not"): right_expr = e.operands[1] if isinstance(right_expr, NameExpr) and right_expr.fullname == "builtins.None": # Special case 'is None' / 'is not None'. return translate_is_none(builder, e.operands[0], negated=first_op != "is") left_expr = e.operands[0] if is_int_rprimitive(builder.node_type(left_expr)): right_expr = e.operands[1] if is_int_rprimitive(builder.node_type(right_expr)): if first_op in int_borrow_friendly_op: borrow_left = is_borrow_friendly_expr(builder, right_expr) left = builder.accept(left_expr, can_borrow=borrow_left) right = builder.accept(right_expr, can_borrow=True) return builder.binary_op(left, right, first_op, e.line) # TODO: Don't produce an expression when used in conditional context # All of the trickiness here is due to support for chained conditionals # (`e1 < e2 > e3`, etc). `e1 < e2 > e3` is approximately equivalent to # `e1 < e2 and e2 > e3` except that `e2` is only evaluated once. expr_type = builder.node_type(e) # go(i, prev) generates code for `ei opi e{i+1} op{i+1} ... en`, # assuming that prev contains the value of `ei`. def go(i: int, prev: Value) -> Value: if i == len(e.operators) - 1: return transform_basic_comparison( builder, e.operators[i], prev, builder.accept(e.operands[i + 1]), e.line ) next = builder.accept(e.operands[i + 1]) return builder.builder.shortcircuit_helper( "and", expr_type, lambda: transform_basic_comparison(builder, e.operators[i], prev, next, e.line), lambda: go(i + 1, next), e.line, ) return go(0, builder.accept(e.operands[0])) def try_specialize_in_expr( builder: IRBuilder, op: str, lhs: Expression, rhs: Expression, line: int ) -> Value | None: left: Value | None = None items: list[Value] | None = None if isinstance(rhs, (TupleExpr, ListExpr)): left = builder.accept(lhs) items = [builder.accept(item) for item in rhs.items] elif isinstance(builder.node_type(rhs), RTuple): left = builder.accept(lhs) tuple_val = builder.accept(rhs) assert isinstance(tuple_val.type, RTuple) items = [builder.add(TupleGet(tuple_val, i)) for i in range(len(tuple_val.type.types))] if items is not None: assert left is not None n_items = len(items) # x in y -> x == y[0] or ... or x == y[n] # x not in y -> x != y[0] and ... and x != y[n] if n_items > 1: if op == "in": cmp_op = "==" else: cmp_op = "!=" out = BasicBlock() for item in items: cmp = transform_basic_comparison(builder, cmp_op, left, item, line) bool_val = builder.builder.bool_value(cmp) next_block = BasicBlock() if op == "in": builder.add_bool_branch(bool_val, out, next_block) else: builder.add_bool_branch(bool_val, next_block, out) builder.activate_block(next_block) result_reg = Register(bool_rprimitive) end = BasicBlock() if op == "in": values = builder.false(), builder.true() else: values = builder.true(), builder.false() builder.assign(result_reg, values[0], line) builder.goto(end) builder.activate_block(out) builder.assign(result_reg, values[1], line) builder.goto(end) builder.activate_block(end) return result_reg # x in [y]/(y) -> x == y # x not in [y]/(y) -> x != y elif n_items == 1: if op == "in": cmp_op = "==" else: cmp_op = "!=" right = items[0] return transform_basic_comparison(builder, cmp_op, left, right, line) # x in []/() -> False # x not in []/() -> True elif n_items == 0: if op == "in": return builder.false() else: return builder.true() # x in {...} # x not in {...} if isinstance(rhs, SetExpr): set_literal = precompute_set_literal(builder, rhs) if set_literal is not None: result = builder.builder.primitive_op( set_in_op, [builder.accept(lhs), set_literal], line, bool_rprimitive ) if op == "not in": return builder.unary_op(result, "not", line) return result return None def translate_is_none(builder: IRBuilder, expr: Expression, negated: bool) -> Value: v = builder.accept(expr, can_borrow=True) return builder.binary_op(v, builder.none_object(), "is not" if negated else "is", expr.line) def transform_basic_comparison( builder: IRBuilder, op: str, left: Value, right: Value, line: int ) -> Value: if is_fixed_width_rtype(left.type) and op in ComparisonOp.signed_ops: if right.type == left.type: if left.type.is_signed: op_id = ComparisonOp.signed_ops[op] else: op_id = ComparisonOp.unsigned_ops[op] return builder.builder.comparison_op(left, right, op_id, line) elif isinstance(right, Integer): if left.type.is_signed: op_id = ComparisonOp.signed_ops[op] else: op_id = ComparisonOp.unsigned_ops[op] return builder.builder.comparison_op( left, builder.coerce(right, left.type, line), op_id, line ) elif ( is_fixed_width_rtype(right.type) and op in ComparisonOp.signed_ops and isinstance(left, Integer) ): if right.type.is_signed: op_id = ComparisonOp.signed_ops[op] else: op_id = ComparisonOp.unsigned_ops[op] return builder.builder.comparison_op( builder.coerce(left, right.type, line), right, op_id, line ) negate = False if op == "is not": op, negate = "is", True elif op == "not in": op, negate = "in", True target = builder.binary_op(left, right, op, line) if negate: target = builder.unary_op(target, "not", line) return target def translate_printf_style_formatting( builder: IRBuilder, format_expr: StrExpr | BytesExpr, rhs: Expression ) -> Value | None: tokens = tokenizer_printf_style(format_expr.value) if tokens is not None: literals, format_ops = tokens exprs = [] if isinstance(rhs, TupleExpr): exprs = rhs.items elif isinstance(rhs, Expression): exprs.append(rhs) if isinstance(format_expr, BytesExpr): substitutions = convert_format_expr_to_bytes( builder, format_ops, exprs, format_expr.line ) if substitutions is not None: return join_formatted_bytes(builder, literals, substitutions, format_expr.line) else: substitutions = convert_format_expr_to_str( builder, format_ops, exprs, format_expr.line ) if substitutions is not None: return join_formatted_strings(builder, literals, substitutions, format_expr.line) return None # Literals def transform_int_expr(builder: IRBuilder, expr: IntExpr) -> Value: return builder.builder.load_int(expr.value) def transform_float_expr(builder: IRBuilder, expr: FloatExpr) -> Value: return builder.builder.load_float(expr.value) def transform_complex_expr(builder: IRBuilder, expr: ComplexExpr) -> Value: return builder.builder.load_complex(expr.value) def transform_str_expr(builder: IRBuilder, expr: StrExpr) -> Value: return builder.load_str(expr.value) def transform_bytes_expr(builder: IRBuilder, expr: BytesExpr) -> Value: return builder.load_bytes_from_str_literal(expr.value) def transform_ellipsis(builder: IRBuilder, o: EllipsisExpr) -> Value: return builder.add(LoadAddress(ellipsis_op.type, ellipsis_op.src, o.line)) # Display expressions def transform_list_expr(builder: IRBuilder, expr: ListExpr) -> Value: return _visit_list_display(builder, expr.items, expr.line) def _visit_list_display(builder: IRBuilder, items: list[Expression], line: int) -> Value: return _visit_display( builder, items, builder.new_list_op, list_append_op, list_extend_op, line, True ) def transform_tuple_expr(builder: IRBuilder, expr: TupleExpr) -> Value: if any(isinstance(item, StarExpr) for item in expr.items): # create a tuple of unknown length return _visit_tuple_display(builder, expr) # create a tuple of fixed length (RTuple) tuple_type = builder.node_type(expr) # When handling NamedTuple et. al we might not have proper type info, # so make some up if we need it. types = ( tuple_type.types if isinstance(tuple_type, RTuple) else [object_rprimitive] * len(expr.items) ) items = [] for item_expr, item_type in zip(expr.items, types): reg = builder.accept(item_expr) items.append(builder.coerce(reg, item_type, item_expr.line)) return builder.add(TupleSet(items, expr.line)) def _visit_tuple_display(builder: IRBuilder, expr: TupleExpr) -> Value: """Create a list, then turn it into a tuple.""" val_as_list = _visit_list_display(builder, expr.items, expr.line) return builder.primitive_op(list_tuple_op, [val_as_list], expr.line) def transform_dict_expr(builder: IRBuilder, expr: DictExpr) -> Value: """First accepts all keys and values, then makes a dict out of them.""" key_value_pairs = [] for key_expr, value_expr in expr.items: key = builder.accept(key_expr) if key_expr is not None else None value = builder.accept(value_expr) key_value_pairs.append((key, value)) return builder.builder.make_dict(key_value_pairs, expr.line) def transform_set_expr(builder: IRBuilder, expr: SetExpr) -> Value: return _visit_display( builder, expr.items, builder.new_set_op, set_add_op, set_update_op, expr.line, False ) def _visit_display( builder: IRBuilder, items: list[Expression], constructor_op: Callable[[list[Value], int], Value], append_op: PrimitiveDescription, extend_op: PrimitiveDescription, line: int, is_list: bool, ) -> Value: accepted_items = [] for item in items: if isinstance(item, StarExpr): accepted_items.append((True, builder.accept(item.expr))) else: accepted_items.append((False, builder.accept(item))) result: Value | None = None initial_items = [] for starred, value in accepted_items: if result is None and not starred and is_list: initial_items.append(value) continue if result is None: result = constructor_op(initial_items, line) builder.primitive_op(extend_op if starred else append_op, [result, value], line) if result is None: result = constructor_op(initial_items, line) return result # Comprehensions def transform_list_comprehension(builder: IRBuilder, o: ListComprehension) -> Value: return translate_list_comprehension(builder, o.generator) def transform_set_comprehension(builder: IRBuilder, o: SetComprehension) -> Value: return translate_set_comprehension(builder, o.generator) def transform_dictionary_comprehension(builder: IRBuilder, o: DictionaryComprehension) -> Value: if raise_error_if_contains_unreachable_names(builder, o): return builder.none() d = builder.maybe_spill(builder.call_c(dict_new_op, [], o.line)) loop_params = list(zip(o.indices, o.sequences, o.condlists, o.is_async)) def gen_inner_stmts() -> None: k = builder.accept(o.key) v = builder.accept(o.value) builder.call_c(exact_dict_set_item_op, [builder.read(d), k, v], o.line) comprehension_helper(builder, loop_params, gen_inner_stmts, o.line) return builder.read(d) # Misc def transform_slice_expr(builder: IRBuilder, expr: SliceExpr) -> Value: def get_arg(arg: Expression | None) -> Value: if arg is None: return builder.none_object() else: return builder.accept(arg) args = [get_arg(expr.begin_index), get_arg(expr.end_index), get_arg(expr.stride)] return builder.primitive_op(new_slice_op, args, expr.line) def transform_generator_expr(builder: IRBuilder, o: GeneratorExpr) -> Value: builder.warning("Treating generator comprehension as list", o.line) return builder.primitive_op(iter_op, [translate_list_comprehension(builder, o)], o.line) def transform_assignment_expr(builder: IRBuilder, o: AssignmentExpr) -> Value: value = builder.accept(o.value) target = builder.get_assignment_target(o.target) builder.assign(target, value, o.line) return value def transform_math_literal(builder: IRBuilder, fullname: str) -> Value | None: if fullname == "math.e": return builder.load_float(math.e) if fullname == "math.pi": return builder.load_float(math.pi) if fullname == "math.inf": return builder.load_float(math.inf) if fullname == "math.nan": return builder.load_float(math.nan) if fullname == "math.tau": return builder.load_float(math.tau) return None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/for_helpers.py0000644000175100017510000013651615112307767017750 0ustar00runnerrunner"""Helpers for generating for loops and comprehensions. We special case certain kinds for loops such as "for x in range(...)" for better efficiency. Each for loop generator class below deals one such special case. """ from __future__ import annotations from typing import Callable, ClassVar from mypy.nodes import ( ARG_POS, BytesExpr, CallExpr, DictionaryComprehension, Expression, GeneratorExpr, ListExpr, Lvalue, MemberExpr, NameExpr, RefExpr, SetExpr, StarExpr, StrExpr, TupleExpr, TypeAlias, Var, ) from mypy.types import LiteralType, TupleType, get_proper_type, get_proper_types from mypyc.ir.ops import ( ERR_NEVER, BasicBlock, Branch, Integer, IntOp, LoadAddress, LoadErrorValue, LoadLiteral, LoadMem, MethodCall, RaiseStandardError, Register, TupleGet, TupleSet, Value, ) from mypyc.ir.rtypes import ( RInstance, RTuple, RType, bool_rprimitive, c_pyssize_t_rprimitive, int_rprimitive, is_dict_rprimitive, is_fixed_width_rtype, is_immutable_rprimitive, is_list_rprimitive, is_sequence_rprimitive, is_short_int_rprimitive, is_str_rprimitive, is_tuple_rprimitive, object_pointer_rprimitive, object_rprimitive, pointer_rprimitive, short_int_rprimitive, ) from mypyc.irbuild.builder import IRBuilder from mypyc.irbuild.prepare import GENERATOR_HELPER_NAME from mypyc.irbuild.targets import AssignmentTarget, AssignmentTargetTuple from mypyc.primitives.dict_ops import ( dict_check_size_op, dict_item_iter_op, dict_key_iter_op, dict_next_item_op, dict_next_key_op, dict_next_value_op, dict_value_iter_op, ) from mypyc.primitives.exc_ops import no_err_occurred_op, propagate_if_error_op from mypyc.primitives.generic_ops import aiter_op, anext_op, iter_op, next_op from mypyc.primitives.list_ops import list_append_op, list_get_item_unsafe_op, new_list_set_item_op from mypyc.primitives.misc_ops import stop_async_iteration_op from mypyc.primitives.registry import CFunctionDescription from mypyc.primitives.set_ops import set_add_op from mypyc.primitives.str_ops import str_get_item_unsafe_op from mypyc.primitives.tuple_ops import tuple_get_item_unsafe_op GenFunc = Callable[[], None] def for_loop_helper( builder: IRBuilder, index: Lvalue, expr: Expression, body_insts: GenFunc, else_insts: GenFunc | None, is_async: bool, line: int, ) -> None: """Generate IR for a loop. Args: index: the loop index Lvalue expr: the expression to iterate over body_insts: a function that generates the body of the loop else_insts: a function that generates the else block instructions """ # Body of the loop body_block = BasicBlock() # Block that steps to the next item step_block = BasicBlock() # Block for the else clause, if we need it else_block = BasicBlock() # Block executed after the loop exit_block = BasicBlock() # Determine where we want to exit, if our condition check fails. normal_loop_exit = else_block if else_insts is not None else exit_block for_gen = make_for_loop_generator( builder, index, expr, body_block, normal_loop_exit, line, is_async=is_async ) builder.push_loop_stack(step_block, exit_block) condition_block = BasicBlock() builder.goto_and_activate(condition_block) # Add loop condition check. for_gen.gen_condition() # Generate loop body. builder.activate_block(body_block) for_gen.begin_body() body_insts() # We generate a separate step block (which might be empty). builder.goto_and_activate(step_block) for_gen.gen_step() # Go back to loop condition. builder.goto(condition_block) for_gen.add_cleanup(normal_loop_exit) builder.pop_loop_stack() if else_insts is not None: builder.activate_block(else_block) else_insts() builder.goto(exit_block) builder.activate_block(exit_block) def for_loop_helper_with_index( builder: IRBuilder, index: Lvalue, expr: Expression, expr_reg: Value, body_insts: Callable[[Value], None], line: int, length: Value, ) -> None: """Generate IR for a sequence iteration. This function only works for sequence type. Compared to for_loop_helper, it would feed iteration index to body_insts. Args: index: the loop index Lvalue expr: the expression to iterate over body_insts: a function that generates the body of the loop. It needs a index as parameter. """ assert is_sequence_rprimitive(expr_reg.type), (expr_reg, expr_reg.type) target_type = builder.get_sequence_type(expr) body_block = BasicBlock() step_block = BasicBlock() exit_block = BasicBlock() condition_block = BasicBlock() for_gen = ForSequence(builder, index, body_block, exit_block, line, False) for_gen.init(expr_reg, target_type, reverse=False, length=length) builder.push_loop_stack(step_block, exit_block) if isinstance(length, Integer) and length.value > 0: builder.goto(body_block) builder.activate_block(condition_block) else: builder.goto_and_activate(condition_block) for_gen.gen_condition() builder.activate_block(body_block) for_gen.begin_body() body_insts(builder.read(for_gen.index_target)) builder.goto_and_activate(step_block) for_gen.gen_step() builder.goto(condition_block) for_gen.add_cleanup(exit_block) builder.pop_loop_stack() builder.activate_block(exit_block) def sequence_from_generator_preallocate_helper( builder: IRBuilder, gen: GeneratorExpr, empty_op_llbuilder: Callable[[Value, int], Value], set_item_op: CFunctionDescription, ) -> Value | None: """Generate a new tuple or list from a simple generator expression. Currently we only optimize for simplest generator expression, which means that there is no condition list in the generator and only one original sequence with one index is allowed. e.g. (1) tuple(f(x) for x in a_list/a_tuple/a_str/a_bytes/an_rtuple) (2) list(f(x) for x in a_list/a_tuple/a_str/a_bytes/an_rtuple) (3) [f(x) for x in a_list/a_tuple/a_str/a_bytes/an_rtuple] Args: empty_op_llbuilder: A function that can generate an empty sequence op when passed in length. See `new_list_op_with_length` and `new_tuple_op_with_length` for detailed implementation. set_item_op: A primitive that can modify an arbitrary position of a sequence. The op should have three arguments: - Self - Target position - New Value See `new_list_set_item_op` and `new_tuple_set_item_op` for detailed implementation. """ if len(gen.sequences) == 1 and len(gen.indices) == 1 and len(gen.condlists[0]) == 0: line = gen.line sequence_expr = gen.sequences[0] rtype = builder.node_type(sequence_expr) if not (is_sequence_rprimitive(rtype) or isinstance(rtype, RTuple)): return None sequence = builder.accept(sequence_expr) length = get_expr_length_value(builder, sequence_expr, sequence, line, use_pyssize_t=True) if isinstance(rtype, RTuple): # If input is RTuple, box it to tuple_rprimitive for generic iteration # TODO: this can be optimized a bit better with an unrolled ForRTuple helper proper_type = get_proper_type(builder.types[sequence_expr]) assert isinstance(proper_type, TupleType), proper_type get_item_ops = [ ( LoadLiteral(typ.value, object_rprimitive) if isinstance(typ, LiteralType) else TupleGet(sequence, i, line) ) for i, typ in enumerate(get_proper_types(proper_type.items)) ] items = list(map(builder.add, get_item_ops)) sequence = builder.new_tuple(items, line) target_op = empty_op_llbuilder(length, line) def set_item(item_index: Value) -> None: e = builder.accept(gen.left_expr) builder.call_c(set_item_op, [target_op, item_index, e], line) for_loop_helper_with_index( builder, gen.indices[0], sequence_expr, sequence, set_item, line, length ) return target_op return None def translate_list_comprehension(builder: IRBuilder, gen: GeneratorExpr) -> Value: if raise_error_if_contains_unreachable_names(builder, gen): return builder.none() # Try simplest list comprehension, otherwise fall back to general one val = sequence_from_generator_preallocate_helper( builder, gen, empty_op_llbuilder=builder.builder.new_list_op_with_length, set_item_op=new_list_set_item_op, ) if val is not None: return val list_ops = builder.maybe_spill(builder.new_list_op([], gen.line)) loop_params = list(zip(gen.indices, gen.sequences, gen.condlists, gen.is_async)) def gen_inner_stmts() -> None: e = builder.accept(gen.left_expr) builder.primitive_op(list_append_op, [builder.read(list_ops), e], gen.line) comprehension_helper(builder, loop_params, gen_inner_stmts, gen.line) return builder.read(list_ops) def raise_error_if_contains_unreachable_names( builder: IRBuilder, gen: GeneratorExpr | DictionaryComprehension ) -> bool: """Raise a runtime error and return True if generator contains unreachable names. False is returned if the generator can be safely transformed without crashing. (It may still be unreachable!) """ if any(isinstance(s, NameExpr) and s.node is None for s in gen.indices): error = RaiseStandardError( RaiseStandardError.RUNTIME_ERROR, "mypyc internal error: should be unreachable", gen.line, ) builder.add(error) return True return False def translate_set_comprehension(builder: IRBuilder, gen: GeneratorExpr) -> Value: if raise_error_if_contains_unreachable_names(builder, gen): return builder.none() set_ops = builder.maybe_spill(builder.new_set_op([], gen.line)) loop_params = list(zip(gen.indices, gen.sequences, gen.condlists, gen.is_async)) def gen_inner_stmts() -> None: e = builder.accept(gen.left_expr) builder.primitive_op(set_add_op, [builder.read(set_ops), e], gen.line) comprehension_helper(builder, loop_params, gen_inner_stmts, gen.line) return builder.read(set_ops) def comprehension_helper( builder: IRBuilder, loop_params: list[tuple[Lvalue, Expression, list[Expression], bool]], gen_inner_stmts: Callable[[], None], line: int, ) -> None: """Helper function for list comprehensions. Args: loop_params: a list of (index, expr, [conditions]) tuples defining nested loops: - "index" is the Lvalue indexing that loop; - "expr" is the expression for the object to be iterated over; - "conditions" is a list of conditions, evaluated in order with short-circuiting, that must all be true for the loop body to be executed gen_inner_stmts: function to generate the IR for the body of the innermost loop """ def handle_loop(loop_params: list[tuple[Lvalue, Expression, list[Expression], bool]]) -> None: """Generate IR for a loop. Given a list of (index, expression, [conditions]) tuples, generate IR for the nested loops the list defines. """ index, expr, conds, is_async = loop_params[0] for_loop_helper( builder, index, expr, lambda: loop_contents(conds, loop_params[1:]), None, is_async=is_async, line=line, ) def loop_contents( conds: list[Expression], remaining_loop_params: list[tuple[Lvalue, Expression, list[Expression], bool]], ) -> None: """Generate the body of the loop. Args: conds: a list of conditions to be evaluated (in order, with short circuiting) to gate the body of the loop remaining_loop_params: the parameters for any further nested loops; if it's empty we'll instead evaluate the "gen_inner_stmts" function """ # Check conditions, in order, short circuiting them. for cond in conds: cond_val = builder.accept(cond) cont_block, rest_block = BasicBlock(), BasicBlock() # If the condition is true we'll skip the continue. builder.add_bool_branch(cond_val, rest_block, cont_block) builder.activate_block(cont_block) builder.nonlocal_control[-1].gen_continue(builder, cond.line) builder.goto_and_activate(rest_block) if remaining_loop_params: # There's another nested level, so the body of this loop is another loop. return handle_loop(remaining_loop_params) else: # We finally reached the actual body of the generator. # Generate the IR for the inner loop body. gen_inner_stmts() handle_loop(loop_params) def is_range_ref(expr: RefExpr) -> bool: return ( expr.fullname == "builtins.range" or isinstance(expr.node, TypeAlias) and expr.fullname == "six.moves.xrange" ) def make_for_loop_generator( builder: IRBuilder, index: Lvalue, expr: Expression, body_block: BasicBlock, loop_exit: BasicBlock, line: int, is_async: bool = False, nested: bool = False, ) -> ForGenerator: """Return helper object for generating a for loop over an iterable. If "nested" is True, this is a nested iterator such as "e" in "enumerate(e)". """ # Do an async loop if needed. async is always generic if is_async: expr_reg = builder.accept(expr) async_obj = ForAsyncIterable(builder, index, body_block, loop_exit, line, nested) item_type = builder._analyze_iterable_item_type(expr) item_rtype = builder.type_to_rtype(item_type) async_obj.init(expr_reg, item_rtype) return async_obj rtyp = builder.node_type(expr) if is_sequence_rprimitive(rtyp): # Special case "for x in ". expr_reg = builder.accept(expr) target_type = builder.get_sequence_type(expr) for_list = ForSequence(builder, index, body_block, loop_exit, line, nested) for_list.init(expr_reg, target_type, reverse=False) return for_list if is_dict_rprimitive(rtyp): # Special case "for k in ". expr_reg = builder.accept(expr) target_type = builder.get_dict_key_type(expr) for_dict = ForDictionaryKeys(builder, index, body_block, loop_exit, line, nested) for_dict.init(expr_reg, target_type) return for_dict if isinstance(expr, CallExpr) and isinstance(expr.callee, RefExpr): if ( is_range_ref(expr.callee) and ( len(expr.args) <= 2 or (len(expr.args) == 3 and builder.extract_int(expr.args[2]) is not None) ) and set(expr.arg_kinds) == {ARG_POS} ): # Special case "for x in range(...)". # We support the 3 arg form but only for int literals, since it doesn't # seem worth the hassle of supporting dynamically determining which # direction of comparison to do. if len(expr.args) == 1: start_reg: Value = Integer(0) end_reg = builder.accept(expr.args[0]) else: start_reg = builder.accept(expr.args[0]) end_reg = builder.accept(expr.args[1]) if len(expr.args) == 3: step = builder.extract_int(expr.args[2]) assert step is not None if step == 0: builder.error("range() step can't be zero", expr.args[2].line) else: step = 1 for_range = ForRange(builder, index, body_block, loop_exit, line, nested) for_range.init(start_reg, end_reg, step) return for_range elif ( expr.callee.fullname == "builtins.enumerate" and len(expr.args) == 1 and expr.arg_kinds == [ARG_POS] and isinstance(index, TupleExpr) and len(index.items) == 2 ): # Special case "for i, x in enumerate(y)". lvalue1 = index.items[0] lvalue2 = index.items[1] for_enumerate = ForEnumerate(builder, index, body_block, loop_exit, line, nested) for_enumerate.init(lvalue1, lvalue2, expr.args[0]) return for_enumerate elif ( expr.callee.fullname == "builtins.zip" and len(expr.args) >= 2 and set(expr.arg_kinds) == {ARG_POS} and isinstance(index, TupleExpr) and len(index.items) == len(expr.args) ): # Special case "for x, y in zip(a, b)". for_zip = ForZip(builder, index, body_block, loop_exit, line, nested) for_zip.init(index.items, expr.args) return for_zip if ( expr.callee.fullname == "builtins.reversed" and len(expr.args) == 1 and expr.arg_kinds == [ARG_POS] and is_sequence_rprimitive(builder.node_type(expr.args[0])) ): # Special case "for x in reversed()". expr_reg = builder.accept(expr.args[0]) target_type = builder.get_sequence_type(expr) for_list = ForSequence(builder, index, body_block, loop_exit, line, nested) for_list.init(expr_reg, target_type, reverse=True) return for_list if isinstance(expr, CallExpr) and isinstance(expr.callee, MemberExpr) and not expr.args: # Special cases for dictionary iterator methods, like dict.items(). rtype = builder.node_type(expr.callee.expr) if is_dict_rprimitive(rtype) and expr.callee.name in ("keys", "values", "items"): expr_reg = builder.accept(expr.callee.expr) for_dict_type: type[ForGenerator] | None = None if expr.callee.name == "keys": target_type = builder.get_dict_key_type(expr.callee.expr) for_dict_type = ForDictionaryKeys elif expr.callee.name == "values": target_type = builder.get_dict_value_type(expr.callee.expr) for_dict_type = ForDictionaryValues else: target_type = builder.get_dict_item_type(expr.callee.expr) for_dict_type = ForDictionaryItems for_dict_gen = for_dict_type(builder, index, body_block, loop_exit, line, nested) for_dict_gen.init(expr_reg, target_type) return for_dict_gen iterable_expr_reg: Value | None = None if isinstance(expr, SetExpr): # Special case "for x in ". from mypyc.irbuild.expression import precompute_set_literal set_literal = precompute_set_literal(builder, expr) if set_literal is not None: iterable_expr_reg = set_literal # Default to a generic for loop. if iterable_expr_reg is None: iterable_expr_reg = builder.accept(expr) it = iterable_expr_reg.type for_obj: ForNativeGenerator | ForIterable if isinstance(it, RInstance) and it.class_ir.has_method(GENERATOR_HELPER_NAME): # Directly call generator object methods if iterating over a native generator. for_obj = ForNativeGenerator(builder, index, body_block, loop_exit, line, nested) else: # Generic implementation that works of arbitrary iterables. for_obj = ForIterable(builder, index, body_block, loop_exit, line, nested) item_type = builder._analyze_iterable_item_type(expr) item_rtype = builder.type_to_rtype(item_type) for_obj.init(iterable_expr_reg, item_rtype) return for_obj class ForGenerator: """Abstract base class for generating for loops.""" def __init__( self, builder: IRBuilder, index: Lvalue, body_block: BasicBlock, loop_exit: BasicBlock, line: int, nested: bool, ) -> None: self.builder = builder self.index = index self.body_block = body_block self.line = line # Some for loops need a cleanup block that we execute at exit. We # create a cleanup block if needed. However, if we are generating a for # loop for a nested iterator, such as "e" in "enumerate(e)", the # outermost generator should generate the cleanup block -- we don't # need to do it here. if self.need_cleanup() and not nested: # Create a new block to handle cleanup after loop exit. self.loop_exit = BasicBlock() else: # Just use the existing loop exit block. self.loop_exit = loop_exit def need_cleanup(self) -> bool: """If this returns true, we need post-loop cleanup.""" return False def add_cleanup(self, exit_block: BasicBlock) -> None: """Add post-loop cleanup, if needed.""" if self.need_cleanup(): self.builder.activate_block(self.loop_exit) self.gen_cleanup() self.builder.goto(exit_block) def gen_condition(self) -> None: """Generate check for loop exit (e.g. exhaustion of iteration).""" def begin_body(self) -> None: """Generate ops at the beginning of the body (if needed).""" def gen_step(self) -> None: """Generate stepping to the next item (if needed).""" def gen_cleanup(self) -> None: """Generate post-loop cleanup (if needed).""" def load_len(self, expr: Value | AssignmentTarget) -> Value: """A helper to get collection length, used by several subclasses.""" return self.builder.builder.builtin_len( self.builder.read(expr, self.line), self.line, use_pyssize_t=True ) class ForIterable(ForGenerator): """Generate IR for a for loop over an arbitrary iterable (the general case).""" def need_cleanup(self) -> bool: # Create a new cleanup block for when the loop is finished. return True def init(self, expr_reg: Value, target_type: RType) -> None: # Define targets to contain the expression, along with the iterator that will be used # for the for-loop. If we are inside of a generator function, spill these into the # environment class. builder = self.builder iter_reg = builder.primitive_op(iter_op, [expr_reg], self.line) builder.maybe_spill(expr_reg) self.iter_target = builder.maybe_spill(iter_reg) self.target_type = target_type def gen_condition(self) -> None: # We call __next__ on the iterator and check to see if the return value # is NULL, which signals either the end of the Iterable being traversed # or an exception being raised. Note that Branch.IS_ERROR checks only # for NULL (an exception does not necessarily have to be raised). builder = self.builder line = self.line self.next_reg = builder.call_c(next_op, [builder.read(self.iter_target, line)], line) builder.add(Branch(self.next_reg, self.loop_exit, self.body_block, Branch.IS_ERROR)) def begin_body(self) -> None: # Assign the value obtained from __next__ to the # lvalue so that it can be referenced by code in the body of the loop. builder = self.builder line = self.line # We unbox here so that iterating with tuple unpacking generates a tuple based # unpack instead of an iterator based one. next_reg = builder.coerce(self.next_reg, self.target_type, line) builder.assign(builder.get_assignment_target(self.index), next_reg, line) def gen_step(self) -> None: # Nothing to do here, since we get the next item as part of gen_condition(). pass def gen_cleanup(self) -> None: # We set the branch to go here if the conditional evaluates to true. If # an exception was raised during the loop, then err_reg will be set to # True. If no_err_occurred_op returns False, then the exception will be # propagated using the ERR_FALSE flag. self.builder.call_c(no_err_occurred_op, [], self.line) class ForNativeGenerator(ForGenerator): """Generate IR for a for loop over a native generator.""" def need_cleanup(self) -> bool: # Create a new cleanup block for when the loop is finished. return True def init(self, expr_reg: Value, target_type: RType) -> None: # Define target to contains the generator expression. It's also the iterator. # If we are inside a generator function, spill these into the environment class. builder = self.builder self.iter_target = builder.maybe_spill(expr_reg) self.target_type = target_type def gen_condition(self) -> None: builder = self.builder line = self.line self.return_value = Register(object_rprimitive) err = builder.add(LoadErrorValue(object_rprimitive, undefines=True)) builder.assign(self.return_value, err, line) # Call generated generator helper method, passing a PyObject ** as the final # argument that will be used to store the return value in the return value # register. We ignore the return value but the presence of a return value # indicates that the generator has finished. This is faster than raising # and catching StopIteration, which is the non-native way of doing this. ptr = builder.add(LoadAddress(object_pointer_rprimitive, self.return_value)) nn = builder.none_object() helper_call = MethodCall( builder.read(self.iter_target), GENERATOR_HELPER_NAME, [nn, nn, nn, nn, ptr], line ) # We provide custom handling for error values. helper_call.error_kind = ERR_NEVER self.next_reg = builder.add(helper_call) builder.add(Branch(self.next_reg, self.loop_exit, self.body_block, Branch.IS_ERROR)) def begin_body(self) -> None: # Assign the value obtained from the generator helper method to the # lvalue so that it can be referenced by code in the body of the loop. builder = self.builder line = self.line # We unbox here so that iterating with tuple unpacking generates a tuple based # unpack instead of an iterator based one. next_reg = builder.coerce(self.next_reg, self.target_type, line) builder.assign(builder.get_assignment_target(self.index), next_reg, line) def gen_step(self) -> None: # Nothing to do here, since we get the next item as part of gen_condition(). pass def gen_cleanup(self) -> None: # If return value is NULL (it wasn't assigned to by the generator helper method), # an exception was raised that we need to propagate. self.builder.primitive_op(propagate_if_error_op, [self.return_value], self.line) class ForAsyncIterable(ForGenerator): """Generate IR for an async for loop.""" def init(self, expr_reg: Value, target_type: RType) -> None: # Define targets to contain the expression, along with the # iterator that will be used for the for-loop. We are inside # of a generator function, so we will spill these into # environment class. builder = self.builder iter_reg = builder.call_c(aiter_op, [expr_reg], self.line) builder.maybe_spill(expr_reg) self.iter_target = builder.maybe_spill(iter_reg) self.target_type = target_type self.stop_reg = Register(bool_rprimitive) def gen_condition(self) -> None: # This does the test and fetches the next value # try: # TARGET = await type(iter).__anext__(iter) # stop = False # except StopAsyncIteration: # stop = True # # What a pain. # There are optimizations available here if we punch through some abstractions. from mypyc.irbuild.statement import emit_await, transform_try_except builder = self.builder line = self.line def except_match() -> Value: addr = builder.add(LoadAddress(pointer_rprimitive, stop_async_iteration_op.src, line)) return builder.add(LoadMem(stop_async_iteration_op.type, addr, borrow=True)) def try_body() -> None: awaitable = builder.call_c(anext_op, [builder.read(self.iter_target)], line) self.next_reg = emit_await(builder, awaitable, line) builder.assign(self.stop_reg, builder.false(), -1) def except_body() -> None: builder.assign(self.stop_reg, builder.true(), line) transform_try_except( builder, try_body, [((except_match, line), None, except_body)], None, line ) builder.add(Branch(self.stop_reg, self.loop_exit, self.body_block, Branch.BOOL)) def begin_body(self) -> None: # Assign the value obtained from await __anext__ to the # lvalue so that it can be referenced by code in the body of the loop. builder = self.builder line = self.line # We unbox here so that iterating with tuple unpacking generates a tuple based # unpack instead of an iterator based one. next_reg = builder.coerce(self.next_reg, self.target_type, line) builder.assign(builder.get_assignment_target(self.index), next_reg, line) def gen_step(self) -> None: # Nothing to do here, since we get the next item as part of gen_condition(). pass def unsafe_index(builder: IRBuilder, target: Value, index: Value, line: int) -> Value: """Emit a potentially unsafe index into a target.""" # This doesn't really fit nicely into any of our data-driven frameworks # since we want to use __getitem__ if we don't have an unsafe version, # so we just check manually. if is_list_rprimitive(target.type): return builder.primitive_op(list_get_item_unsafe_op, [target, index], line) elif is_tuple_rprimitive(target.type): return builder.call_c(tuple_get_item_unsafe_op, [target, index], line) elif is_str_rprimitive(target.type): return builder.call_c(str_get_item_unsafe_op, [target, index], line) else: return builder.gen_method_call(target, "__getitem__", [index], None, line) class ForSequence(ForGenerator): """Generate optimized IR for a for loop over a sequence. Supports iterating in both forward and reverse. """ length_reg: Value | AssignmentTarget | None def init( self, expr_reg: Value, target_type: RType, reverse: bool, length: Value | None = None ) -> None: assert is_sequence_rprimitive(expr_reg.type), (expr_reg, expr_reg.type) builder = self.builder # Record a Value indicating the length of the sequence, if known at compile time. self.length = length self.reverse = reverse # Define target to contain the expression, along with the index that will be used # for the for-loop. If we are inside of a generator function, spill these into the # environment class. self.expr_target = builder.maybe_spill(expr_reg) if is_immutable_rprimitive(expr_reg.type): # If the expression is an immutable type, we can load the length just once. self.length_reg = builder.maybe_spill(self.length or self.load_len(self.expr_target)) else: # Otherwise, even if the length is known, we must recalculate the length # at every iteration for compatibility with python semantics. self.length_reg = None if not reverse: index_reg: Value = Integer(0, c_pyssize_t_rprimitive) else: if self.length_reg is not None: len_val = builder.read(self.length_reg) else: len_val = self.load_len(self.expr_target) index_reg = builder.builder.int_sub(len_val, 1) self.index_target = builder.maybe_spill_assignable(index_reg) self.target_type = target_type def gen_condition(self) -> None: builder = self.builder line = self.line if self.reverse: # If we are iterating in reverse order, we obviously need # to check that the index is still positive. Somewhat less # obviously we still need to check against the length, # since it could shrink out from under us. comparison = builder.binary_op( builder.read(self.index_target, line), Integer(0), ">=", line ) second_check = BasicBlock() builder.add_bool_branch(comparison, second_check, self.loop_exit) builder.activate_block(second_check) if self.length_reg is None: # For compatibility with python semantics we recalculate the length # at every iteration. len_reg = self.load_len(self.expr_target) else: # (unless input is immutable type). len_reg = builder.read(self.length_reg, line) comparison = builder.binary_op(builder.read(self.index_target, line), len_reg, "<", line) builder.add_bool_branch(comparison, self.body_block, self.loop_exit) def begin_body(self) -> None: builder = self.builder line = self.line # Read the next list item. value_box = unsafe_index( builder, builder.read(self.expr_target, line), builder.read(self.index_target, line), line, ) assert value_box # We coerce to the type of list elements here so that # iterating with tuple unpacking generates a tuple based # unpack instead of an iterator based one. builder.assign( builder.get_assignment_target(self.index), builder.coerce(value_box, self.target_type, line), line, ) def gen_step(self) -> None: # Step to the next item. builder = self.builder line = self.line step = 1 if not self.reverse else -1 add = builder.builder.int_add(builder.read(self.index_target, line), step) builder.assign(self.index_target, add, line) class ForDictionaryCommon(ForGenerator): """Generate optimized IR for a for loop over dictionary keys/values. The logic is pretty straightforward, we use PyDict_Next() API wrapped in a tuple, so that we can modify only a single register. The layout of the tuple: * f0: are there more items (bool) * f1: current offset (int) * f2: next key (object) * f3: next value (object) For more info see https://docs.python.org/3/c-api/dict.html#c.PyDict_Next. Note that for subclasses we fall back to generic PyObject_GetIter() logic, since they may override some iteration methods in subtly incompatible manner. The fallback logic is implemented in CPy.h via dynamic type check. """ dict_next_op: ClassVar[CFunctionDescription] dict_iter_op: ClassVar[CFunctionDescription] def need_cleanup(self) -> bool: # Technically, a dict subclass can raise an unrelated exception # in __next__(), so we need this. return True def init(self, expr_reg: Value, target_type: RType) -> None: builder = self.builder self.target_type = target_type # We add some variables to environment class, so they can be read across yield. self.expr_target = builder.maybe_spill(expr_reg) offset = Integer(0) self.offset_target = builder.maybe_spill_assignable(offset) self.size = builder.maybe_spill(self.load_len(self.expr_target)) # For dict class (not a subclass) this is the dictionary itself. iter_reg = builder.call_c(self.dict_iter_op, [expr_reg], self.line) self.iter_target = builder.maybe_spill(iter_reg) def gen_condition(self) -> None: """Get next key/value pair, set new offset, and check if we should continue.""" builder = self.builder line = self.line self.next_tuple = self.builder.call_c( self.dict_next_op, [builder.read(self.iter_target, line), builder.read(self.offset_target, line)], line, ) # Do this here instead of in gen_step() to minimize variables in environment. new_offset = builder.add(TupleGet(self.next_tuple, 1, line)) builder.assign(self.offset_target, new_offset, line) should_continue = builder.add(TupleGet(self.next_tuple, 0, line)) builder.add(Branch(should_continue, self.body_block, self.loop_exit, Branch.BOOL)) def gen_step(self) -> None: """Check that dictionary didn't change size during iteration. Raise RuntimeError if it is not the case to match CPython behavior. """ builder = self.builder line = self.line # Technically, we don't need a new primitive for this, but it is simpler. builder.call_c( dict_check_size_op, [builder.read(self.expr_target, line), builder.read(self.size, line)], line, ) def gen_cleanup(self) -> None: # Same as for generic ForIterable. self.builder.call_c(no_err_occurred_op, [], self.line) class ForDictionaryKeys(ForDictionaryCommon): """Generate optimized IR for a for loop over dictionary keys.""" dict_next_op = dict_next_key_op dict_iter_op = dict_key_iter_op def begin_body(self) -> None: builder = self.builder line = self.line # Key is stored at the third place in the tuple. key = builder.add(TupleGet(self.next_tuple, 2, line)) builder.assign( builder.get_assignment_target(self.index), builder.coerce(key, self.target_type, line), line, ) class ForDictionaryValues(ForDictionaryCommon): """Generate optimized IR for a for loop over dictionary values.""" dict_next_op = dict_next_value_op dict_iter_op = dict_value_iter_op def begin_body(self) -> None: builder = self.builder line = self.line # Value is stored at the third place in the tuple. value = builder.add(TupleGet(self.next_tuple, 2, line)) builder.assign( builder.get_assignment_target(self.index), builder.coerce(value, self.target_type, line), line, ) class ForDictionaryItems(ForDictionaryCommon): """Generate optimized IR for a for loop over dictionary items.""" dict_next_op = dict_next_item_op dict_iter_op = dict_item_iter_op def begin_body(self) -> None: builder = self.builder line = self.line key = builder.add(TupleGet(self.next_tuple, 2, line)) value = builder.add(TupleGet(self.next_tuple, 3, line)) # Coerce just in case e.g. key is itself a tuple to be unpacked. assert isinstance(self.target_type, RTuple), self.target_type key = builder.coerce(key, self.target_type.types[0], line) value = builder.coerce(value, self.target_type.types[1], line) target = builder.get_assignment_target(self.index) if isinstance(target, AssignmentTargetTuple): # Simpler code for common case: for k, v in d.items(). if len(target.items) != 2: builder.error("Expected a pair for dict item iteration", line) builder.assign(target.items[0], key, line) builder.assign(target.items[1], value, line) else: rvalue = builder.add(TupleSet([key, value], line)) builder.assign(target, rvalue, line) class ForRange(ForGenerator): """Generate optimized IR for a for loop over an integer range.""" def init(self, start_reg: Value, end_reg: Value, step: int) -> None: builder = self.builder self.start_reg = start_reg self.end_reg = end_reg self.step = step self.end_target = builder.maybe_spill(end_reg) if is_short_int_rprimitive(start_reg.type) and is_short_int_rprimitive(end_reg.type): index_type: RType = short_int_rprimitive elif is_fixed_width_rtype(end_reg.type): index_type = end_reg.type else: index_type = int_rprimitive index_reg = Register(index_type) builder.assign(index_reg, start_reg, -1) self.index_reg = builder.maybe_spill_assignable(index_reg) # Initialize loop index to 0. Assert that the index target is assignable. self.index_target: Register | AssignmentTarget = builder.get_assignment_target(self.index) builder.assign(self.index_target, builder.read(self.index_reg, self.line), self.line) def gen_condition(self) -> None: builder = self.builder line = self.line # Add loop condition check. cmp = "<" if self.step > 0 else ">" comparison = builder.binary_op( builder.read(self.index_reg, line), builder.read(self.end_target, line), cmp, line ) builder.add_bool_branch(comparison, self.body_block, self.loop_exit) def gen_step(self) -> None: builder = self.builder line = self.line # Increment index register. If the range is known to fit in short ints, use # short ints. if is_short_int_rprimitive(self.start_reg.type) and is_short_int_rprimitive( self.end_reg.type ): new_val = builder.int_op( short_int_rprimitive, builder.read(self.index_reg, line), Integer(self.step), IntOp.ADD, line, ) else: new_val = builder.binary_op( builder.read(self.index_reg, line), Integer(self.step), "+", line ) builder.assign(self.index_reg, new_val, line) builder.assign(self.index_target, new_val, line) class ForInfiniteCounter(ForGenerator): """Generate optimized IR for a for loop counting from 0 to infinity.""" def init(self) -> None: builder = self.builder # Create a register to store the state of the loop index and # initialize this register along with the loop index to 0. zero = Integer(0) self.index_reg = builder.maybe_spill_assignable(zero) self.index_target: Register | AssignmentTarget = builder.get_assignment_target(self.index) def gen_step(self) -> None: builder = self.builder line = self.line # We can safely assume that the integer is short, since we are not going to wrap # around a 63-bit integer. # NOTE: This would be questionable if short ints could be 32 bits. new_val = builder.int_op( short_int_rprimitive, builder.read(self.index_reg, line), Integer(1), IntOp.ADD, line ) builder.assign(self.index_reg, new_val, line) def begin_body(self) -> None: self.builder.assign(self.index_target, self.builder.read(self.index_reg), self.line) class ForEnumerate(ForGenerator): """Generate optimized IR for a for loop of form "for i, x in enumerate(it)".""" def need_cleanup(self) -> bool: # The wrapped for loop might need cleanup. This might generate a # redundant cleanup block, but that's okay. return True def init(self, index1: Lvalue, index2: Lvalue, expr: Expression) -> None: # Count from 0 to infinity (for the index lvalue). self.index_gen = ForInfiniteCounter( self.builder, index1, self.body_block, self.loop_exit, self.line, nested=True ) self.index_gen.init() # Iterate over the actual iterable. self.main_gen = make_for_loop_generator( self.builder, index2, expr, self.body_block, self.loop_exit, self.line, nested=True ) def gen_condition(self) -> None: # No need for a check for the index generator, since it's unconditional. self.main_gen.gen_condition() def begin_body(self) -> None: self.index_gen.begin_body() self.main_gen.begin_body() def gen_step(self) -> None: self.index_gen.gen_step() self.main_gen.gen_step() def gen_cleanup(self) -> None: self.index_gen.gen_cleanup() self.main_gen.gen_cleanup() class ForZip(ForGenerator): """Generate IR for a for loop of form `for x, ... in zip(a, ...)`.""" def need_cleanup(self) -> bool: # The wrapped for loops might need cleanup. We might generate a # redundant cleanup block, but that's okay. return True def init(self, indexes: list[Lvalue], exprs: list[Expression]) -> None: assert len(indexes) == len(exprs) # Condition check will require multiple basic blocks, since there will be # multiple conditions to check. self.cond_blocks = [BasicBlock() for _ in range(len(indexes) - 1)] + [self.body_block] self.gens: list[ForGenerator] = [] for index, expr, next_block in zip(indexes, exprs, self.cond_blocks): gen = make_for_loop_generator( self.builder, index, expr, next_block, self.loop_exit, self.line, nested=True ) self.gens.append(gen) def gen_condition(self) -> None: for i, gen in enumerate(self.gens): gen.gen_condition() if i < len(self.gens) - 1: self.builder.activate_block(self.cond_blocks[i]) def begin_body(self) -> None: for gen in self.gens: gen.begin_body() def gen_step(self) -> None: for gen in self.gens: gen.gen_step() def gen_cleanup(self) -> None: for gen in self.gens: gen.gen_cleanup() def get_expr_length(builder: IRBuilder, expr: Expression) -> int | None: if isinstance(expr, (StrExpr, BytesExpr)): return len(expr.value) elif isinstance(expr, (ListExpr, TupleExpr)): # if there are no star expressions, or we know the length of them, # we know the length of the expression stars = [get_expr_length(builder, i) for i in expr.items if isinstance(i, StarExpr)] if None not in stars: other = sum(not isinstance(i, StarExpr) for i in expr.items) return other + sum(stars) # type: ignore [arg-type] elif isinstance(expr, StarExpr): return get_expr_length(builder, expr.expr) elif ( isinstance(expr, RefExpr) and isinstance(expr.node, Var) and expr.node.is_final and isinstance(expr.node.final_value, str) and expr.node.has_explicit_value ): return len(expr.node.final_value) # TODO: extend this, passing length of listcomp and genexp should have worthwhile # performance boost and can be (sometimes) figured out pretty easily. set and dict # comps *can* be done as well but will need special logic to consider the possibility # of key conflicts. Range, enumerate, zip are all simple logic. # we might still be able to get the length directly from the type rtype = builder.node_type(expr) if isinstance(rtype, RTuple): return len(rtype.types) return None def get_expr_length_value( builder: IRBuilder, expr: Expression, expr_reg: Value, line: int, use_pyssize_t: bool ) -> Value: rtype = builder.node_type(expr) assert is_sequence_rprimitive(rtype) or isinstance(rtype, RTuple), rtype length = get_expr_length(builder, expr) if length is None: # We cannot compute the length at compile time, so we will fetch it. return builder.builder.builtin_len(expr_reg, line, use_pyssize_t=use_pyssize_t) # The expression result is known at compile time, so we can use a constant. return Integer(length, c_pyssize_t_rprimitive if use_pyssize_t else short_int_rprimitive) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/format_str_tokenizer.py0000644000175100017510000002130015112307767021672 0ustar00runnerrunner"""Tokenizers for three string formatting methods""" from __future__ import annotations from enum import Enum, unique from typing import Final from mypy.checkstrformat import ( ConversionSpecifier, parse_conversion_specifiers, parse_format_value, ) from mypy.errors import Errors from mypy.messages import MessageBuilder from mypy.nodes import Context, Expression, StrExpr from mypy.options import Options from mypyc.ir.ops import Integer, Value from mypyc.ir.rtypes import ( c_pyssize_t_rprimitive, is_bytes_rprimitive, is_int_rprimitive, is_short_int_rprimitive, is_str_rprimitive, ) from mypyc.irbuild.builder import IRBuilder from mypyc.primitives.bytes_ops import bytes_build_op from mypyc.primitives.int_ops import int_to_str_op from mypyc.primitives.str_ops import str_build_op, str_op @unique class FormatOp(Enum): """FormatOp represents conversion operations of string formatting during compile time. Compare to ConversionSpecifier, FormatOp has fewer attributes. For example, to mark a conversion from any object to string, ConversionSpecifier may have several representations, like '%s', '{}' or '{:{}}'. However, there would only exist one corresponding FormatOp. """ STR = "s" INT = "d" BYTES = "b" def generate_format_ops(specifiers: list[ConversionSpecifier]) -> list[FormatOp] | None: """Convert ConversionSpecifier to FormatOp. Different ConversionSpecifiers may share a same FormatOp. """ format_ops = [] for spec in specifiers: # TODO: Match specifiers instead of using whole_seq if spec.whole_seq == "%s" or spec.whole_seq == "{:{}}": format_op = FormatOp.STR elif spec.whole_seq == "%d": format_op = FormatOp.INT elif spec.whole_seq == "%b": format_op = FormatOp.BYTES elif spec.whole_seq: return None else: format_op = FormatOp.STR format_ops.append(format_op) return format_ops def tokenizer_printf_style(format_str: str) -> tuple[list[str], list[FormatOp]] | None: """Tokenize a printf-style format string using regex. Return: A list of string literals and a list of FormatOps. """ literals: list[str] = [] specifiers: list[ConversionSpecifier] = parse_conversion_specifiers(format_str) format_ops = generate_format_ops(specifiers) if format_ops is None: return None last_end = 0 for spec in specifiers: cur_start = spec.start_pos literals.append(format_str[last_end:cur_start]) last_end = cur_start + len(spec.whole_seq) literals.append(format_str[last_end:]) return literals, format_ops # The empty Context as an argument for parse_format_value(). # It wouldn't be used since the code has passed the type-checking. EMPTY_CONTEXT: Final = Context() def tokenizer_format_call(format_str: str) -> tuple[list[str], list[FormatOp]] | None: """Tokenize a str.format() format string. The core function parse_format_value() is shared with mypy. With these specifiers, we then parse the literal substrings of the original format string and convert `ConversionSpecifier` to `FormatOp`. Return: A list of string literals and a list of FormatOps. The literals are interleaved with FormatOps and the length of returned literals should be exactly one more than FormatOps. Return None if it cannot parse the string. """ # Creates an empty MessageBuilder here. # It wouldn't be used since the code has passed the type-checking. specifiers = parse_format_value( format_str, EMPTY_CONTEXT, MessageBuilder(Errors(Options()), {}) ) if specifiers is None: return None format_ops = generate_format_ops(specifiers) if format_ops is None: return None literals: list[str] = [] last_end = 0 for spec in specifiers: # Skip { and } literals.append(format_str[last_end : spec.start_pos - 1]) last_end = spec.start_pos + len(spec.whole_seq) + 1 literals.append(format_str[last_end:]) # Deal with escaped {{ literals = [x.replace("{{", "{").replace("}}", "}") for x in literals] return literals, format_ops def convert_format_expr_to_str( builder: IRBuilder, format_ops: list[FormatOp], exprs: list[Expression], line: int ) -> list[Value] | None: """Convert expressions into string literal objects with the guidance of FormatOps. Return None when fails.""" if len(format_ops) != len(exprs): return None converted = [] for x, format_op in zip(exprs, format_ops): node_type = builder.node_type(x) if format_op == FormatOp.STR: if is_str_rprimitive(node_type) or isinstance( x, StrExpr ): # NOTE: why does mypyc think our fake StrExprs are not str rprimitives? var_str = builder.accept(x) elif is_int_rprimitive(node_type) or is_short_int_rprimitive(node_type): var_str = builder.primitive_op(int_to_str_op, [builder.accept(x)], line) else: var_str = builder.primitive_op(str_op, [builder.accept(x)], line) elif format_op == FormatOp.INT: if is_int_rprimitive(node_type) or is_short_int_rprimitive(node_type): var_str = builder.primitive_op(int_to_str_op, [builder.accept(x)], line) else: return None else: return None converted.append(var_str) return converted def join_formatted_strings( builder: IRBuilder, literals: list[str] | None, substitutions: list[Value], line: int ) -> Value: """Merge the list of literals and the list of substitutions alternatively using 'str_build_op'. `substitutions` is the result value of formatting conversions. If the `literals` is set to None, we simply join the substitutions; Otherwise, the `literals` is the literal substrings of the original format string and its length should be exactly one more than substitutions. For example: (1) 'This is a %s and the value is %d' -> literals: ['This is a ', ' and the value is', ''] (2) '{} and the value is {}' -> literals: ['', ' and the value is', ''] """ # The first parameter for str_build_op is the total size of # the following PyObject* result_list: list[Value] = [Integer(0, c_pyssize_t_rprimitive)] if literals is not None: for a, b in zip(literals, substitutions): if a: result_list.append(builder.load_str(a)) result_list.append(b) if literals[-1]: result_list.append(builder.load_str(literals[-1])) else: result_list.extend(substitutions) # Special case for empty string and literal string if len(result_list) == 1: return builder.load_str("") if not substitutions and len(result_list) == 2: return result_list[1] result_list[0] = Integer(len(result_list) - 1, c_pyssize_t_rprimitive) return builder.call_c(str_build_op, result_list, line) def convert_format_expr_to_bytes( builder: IRBuilder, format_ops: list[FormatOp], exprs: list[Expression], line: int ) -> list[Value] | None: """Convert expressions into bytes literal objects with the guidance of FormatOps. Return None when fails.""" if len(format_ops) != len(exprs): return None converted = [] for x, format_op in zip(exprs, format_ops): node_type = builder.node_type(x) # conversion type 's' is an alias of 'b' in bytes formatting if format_op == FormatOp.BYTES or format_op == FormatOp.STR: if is_bytes_rprimitive(node_type): var_bytes = builder.accept(x) else: return None else: return None converted.append(var_bytes) return converted def join_formatted_bytes( builder: IRBuilder, literals: list[str], substitutions: list[Value], line: int ) -> Value: """Merge the list of literals and the list of substitutions alternatively using 'bytes_build_op'.""" result_list: list[Value] = [Integer(0, c_pyssize_t_rprimitive)] for a, b in zip(literals, substitutions): if a: result_list.append(builder.load_bytes_from_str_literal(a)) result_list.append(b) if literals[-1]: result_list.append(builder.load_bytes_from_str_literal(literals[-1])) # Special case for empty bytes and literal if len(result_list) == 1: return builder.load_bytes_from_str_literal("") if not substitutions and len(result_list) == 2: return result_list[1] result_list[0] = Integer(len(result_list) - 1, c_pyssize_t_rprimitive) return builder.call_c(bytes_build_op, result_list, line) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/function.py0000644000175100017510000013702315112307767017257 0ustar00runnerrunner"""Transform mypy AST functions to IR (and related things). Normal functions are translated into a list of basic blocks containing various IR ops (defined in mypyc.ir.ops). This also deals with generators, async functions and nested functions. All of these are transformed into callable classes. These have a custom __call__ method that implements the call, and state, such as an environment containing non-local variables, is stored in the instance of the callable class. """ from __future__ import annotations from collections import defaultdict from collections.abc import Sequence from typing import NamedTuple from mypy.nodes import ( ArgKind, ClassDef, Decorator, FuncBase, FuncDef, FuncItem, LambdaExpr, OverloadedFuncDef, TypeInfo, Var, ) from mypy.types import CallableType, Type, UnboundType, get_proper_type from mypyc.common import FAST_PREFIX, LAMBDA_NAME, PROPSET_PREFIX, SELF_NAME from mypyc.ir.class_ir import ClassIR, NonExtClassInfo from mypyc.ir.func_ir import ( FUNC_CLASSMETHOD, FUNC_NORMAL, FUNC_STATICMETHOD, FuncDecl, FuncIR, FuncSignature, RuntimeArg, ) from mypyc.ir.ops import ( BasicBlock, ComparisonOp, GetAttr, Integer, LoadAddress, LoadLiteral, Register, Return, SetAttr, Unbox, Unreachable, Value, ) from mypyc.ir.rtypes import ( RInstance, bool_rprimitive, c_int_rprimitive, dict_rprimitive, int_rprimitive, object_rprimitive, ) from mypyc.irbuild.builder import IRBuilder, calculate_arg_defaults, gen_arg_defaults from mypyc.irbuild.callable_class import ( add_call_to_callable_class, add_get_to_callable_class, instantiate_callable_class, setup_callable_class, ) from mypyc.irbuild.context import FuncInfo, GeneratorClass from mypyc.irbuild.env_class import ( add_vars_to_env, finalize_env_class, load_env_registers, setup_env_class, ) from mypyc.irbuild.generator import gen_generator_func, gen_generator_func_body from mypyc.irbuild.targets import AssignmentTarget from mypyc.primitives.dict_ops import ( dict_get_method_with_none, dict_new_op, exact_dict_set_item_op, ) from mypyc.primitives.generic_ops import generic_getattr, generic_setattr, py_setattr_op from mypyc.primitives.misc_ops import register_function from mypyc.primitives.registry import builtin_names from mypyc.sametype import is_same_method_signature, is_same_type # Top-level transform functions def transform_func_def(builder: IRBuilder, fdef: FuncDef) -> None: sig = builder.mapper.fdef_to_sig(fdef, builder.options.strict_dunders_typing) func_ir, func_reg = gen_func_item(builder, fdef, fdef.name, sig) # If the function that was visited was a nested function, then either look it up in our # current environment or define it if it was not already defined. if func_reg: builder.assign(get_func_target(builder, fdef), func_reg, fdef.line) maybe_insert_into_registry_dict(builder, fdef) builder.add_function(func_ir, fdef.line) def transform_overloaded_func_def(builder: IRBuilder, o: OverloadedFuncDef) -> None: # Handle regular overload case assert o.impl builder.accept(o.impl) def transform_decorator(builder: IRBuilder, dec: Decorator) -> None: sig = builder.mapper.fdef_to_sig(dec.func, builder.options.strict_dunders_typing) func_ir, func_reg = gen_func_item(builder, dec.func, dec.func.name, sig) decorated_func: Value | None = None if func_reg: decorated_func = load_decorated_func(builder, dec.func, func_reg) builder.assign(get_func_target(builder, dec.func), decorated_func, dec.func.line) # If the prebuild pass didn't put this function in the function to decorators map (for example # if this is a registered singledispatch implementation with no other decorators), we should # treat this function as a regular function, not a decorated function elif dec.func in builder.fdefs_to_decorators: # Obtain the function name in order to construct the name of the helper function. name = dec.func.fullname.split(".")[-1] # Load the callable object representing the non-decorated function, and decorate it. orig_func = builder.load_global_str(name, dec.line) decorated_func = load_decorated_func(builder, dec.func, orig_func) if decorated_func is not None: # Set the callable object representing the decorated function as a global. builder.call_c( exact_dict_set_item_op, [builder.load_globals_dict(), builder.load_str(dec.func.name), decorated_func], decorated_func.line, ) maybe_insert_into_registry_dict(builder, dec.func) builder.functions.append(func_ir) def transform_lambda_expr(builder: IRBuilder, expr: LambdaExpr) -> Value: typ = get_proper_type(builder.types[expr]) assert isinstance(typ, CallableType), typ runtime_args = [] for arg, arg_type in zip(expr.arguments, typ.arg_types): arg.variable.type = arg_type runtime_args.append( RuntimeArg(arg.variable.name, builder.type_to_rtype(arg_type), arg.kind) ) ret_type = builder.type_to_rtype(typ.ret_type) fsig = FuncSignature(runtime_args, ret_type) fname = f"{LAMBDA_NAME}{builder.lambda_counter}" builder.lambda_counter += 1 func_ir, func_reg = gen_func_item(builder, expr, fname, fsig) assert func_reg is not None builder.functions.append(func_ir) return func_reg # Internal functions def gen_func_item( builder: IRBuilder, fitem: FuncItem, name: str, sig: FuncSignature, cdef: ClassDef | None = None, make_ext_method: bool = False, ) -> tuple[FuncIR, Value | None]: """Generate and return the FuncIR for a given FuncDef. If the given FuncItem is a nested function, then we generate a callable class representing the function and use that instead of the actual function. if the given FuncItem contains a nested function, then we generate an environment class so that inner nested functions can access the environment of the given FuncDef. Consider the following nested function: def a() -> None: def b() -> None: def c() -> None: return None return None return None The classes generated would look something like the following. has pointer to +-------+ +--------------------------> | a_env | | +-------+ | ^ | | has pointer to +-------+ associated with +-------+ | b_obj | -------------------> | b_env | +-------+ +-------+ ^ | +-------+ has pointer to | | c_obj | --------------------------+ +-------+ """ # TODO: do something about abstract methods. func_reg: Value | None = None # We treat lambdas as always being nested because we always generate # a class for lambdas, no matter where they are. (It would probably also # work to special case toplevel lambdas and generate a non-class function.) is_nested = fitem in builder.nested_fitems or isinstance(fitem, LambdaExpr) contains_nested = fitem in builder.encapsulating_funcs.keys() is_decorated = fitem in builder.fdefs_to_decorators is_singledispatch = fitem in builder.singledispatch_impls in_non_ext = False add_nested_funcs_to_env = has_nested_func_self_reference(builder, fitem) class_name = None if cdef: ir = builder.mapper.type_to_ir[cdef.info] in_non_ext = not ir.is_ext_class and not make_ext_method class_name = cdef.name if is_singledispatch: func_name = singledispatch_main_func_name(name) else: func_name = name fn_info = FuncInfo( fitem=fitem, name=func_name, class_name=class_name, namespace=gen_func_ns(builder), is_nested=is_nested, contains_nested=contains_nested, is_decorated=is_decorated, in_non_ext=in_non_ext, add_nested_funcs_to_env=add_nested_funcs_to_env, ) is_generator = fn_info.is_generator builder.enter(fn_info, ret_type=sig.ret_type) if is_generator: fitem = builder.fn_info.fitem assert isinstance(fitem, FuncDef), fitem generator_class_ir = builder.mapper.fdef_to_generator[fitem] builder.fn_info.generator_class = GeneratorClass(generator_class_ir) # Functions that contain nested functions need an environment class to store variables that # are free in their nested functions. Generator functions need an environment class to # store a variable denoting the next instruction to be executed when the __next__ function # is called, along with all the variables inside the function itself. if contains_nested or ( is_generator and not builder.fn_info.can_merge_generator_and_env_classes() ): setup_env_class(builder) if is_nested or in_non_ext: setup_callable_class(builder) if is_generator: # First generate a function that just constructs and returns a generator object. func_ir, func_reg = gen_generator_func( builder, lambda args, blocks, fn_info: gen_func_ir( builder, args, blocks, sig, fn_info, cdef, is_singledispatch ), ) # Re-enter the FuncItem and visit the body of the function this time. gen_generator_func_body(builder, fn_info, func_reg) else: func_ir, func_reg = gen_func_body(builder, sig, cdef, is_singledispatch) if is_singledispatch: # add the generated main singledispatch function builder.functions.append(func_ir) # create the dispatch function assert isinstance(fitem, FuncDef), fitem return gen_dispatch_func_ir(builder, fitem, fn_info.name, name, sig) return func_ir, func_reg def gen_func_body( builder: IRBuilder, sig: FuncSignature, cdef: ClassDef | None, is_singledispatch: bool ) -> tuple[FuncIR, Value | None]: load_env_registers(builder) gen_arg_defaults(builder) if builder.fn_info.contains_nested: finalize_env_class(builder) add_vars_to_env(builder) builder.accept(builder.fn_info.fitem.body) builder.maybe_add_implicit_return() # Hang on to the local symbol table for a while, since we use it # to calculate argument defaults below. symtable = builder.symtables[-1] args, _, blocks, ret_type, fn_info = builder.leave() func_ir, func_reg = gen_func_ir(builder, args, blocks, sig, fn_info, cdef, is_singledispatch) # Evaluate argument defaults in the surrounding scope, since we # calculate them *once* when the function definition is evaluated. calculate_arg_defaults(builder, fn_info, func_reg, symtable) return func_ir, func_reg def has_nested_func_self_reference(builder: IRBuilder, fitem: FuncItem) -> bool: """Does a nested function contain a self-reference in its body? If a nested function only has references in the surrounding function, we don't need to add it to the environment. """ if any(isinstance(sym, FuncBase) for sym in builder.free_variables.get(fitem, set())): return True return any( has_nested_func_self_reference(builder, nested) for nested in builder.encapsulating_funcs.get(fitem, []) ) def gen_func_ir( builder: IRBuilder, args: list[Register], blocks: list[BasicBlock], sig: FuncSignature, fn_info: FuncInfo, cdef: ClassDef | None, is_singledispatch_main_func: bool = False, ) -> tuple[FuncIR, Value | None]: """Generate the FuncIR for a function. This takes the basic blocks and function info of a particular function and returns the IR. If the function is nested, also returns the register containing the instance of the corresponding callable class. """ func_reg: Value | None = None if fn_info.is_nested or fn_info.in_non_ext: func_ir = add_call_to_callable_class(builder, args, blocks, sig, fn_info) add_get_to_callable_class(builder, fn_info) func_reg = instantiate_callable_class(builder, fn_info) else: fitem = fn_info.fitem assert isinstance(fitem, FuncDef), fitem func_decl = builder.mapper.func_to_decl[fitem] if cdef and fn_info.name == FAST_PREFIX + func_decl.name: # Special-cased version of a method has a separate FuncDecl, use that one. func_decl = builder.mapper.type_to_ir[cdef.info].method_decls[fn_info.name] if fn_info.is_decorated or is_singledispatch_main_func: class_name = None if cdef is None else cdef.name func_decl = FuncDecl( fn_info.name, class_name, builder.module_name, sig, func_decl.kind, is_prop_getter=func_decl.is_prop_getter, is_prop_setter=func_decl.is_prop_setter, ) func_ir = FuncIR(func_decl, args, blocks, fitem.line, traceback_name=fitem.name) else: func_ir = FuncIR(func_decl, args, blocks, fitem.line, traceback_name=fitem.name) return (func_ir, func_reg) def generate_getattr_wrapper(builder: IRBuilder, cdef: ClassDef, getattr: FuncDef) -> None: """ Generate a wrapper function for __getattr__ that can be put into the tp_getattro slot. The wrapper takes one argument besides self which is the attribute name. It first checks if the name matches any of the attributes of this class. If it does, it returns that attribute. If none match, it calls __getattr__. __getattr__ is not supported in classes that allow interpreted subclasses because the tp_getattro slot is inherited by subclasses and if the subclass overrides __getattr__, the override would be ignored in our wrapper. TODO: To support this, the wrapper would have to check type of self and if it's not the compiled class, resolve "__getattr__" against the type at runtime and call the returned method, like _Py_slot_tp_getattr_hook in cpython. __getattr__ is not supported in classes which inherit from non-native classes because those have __dict__ which currently has some strange interactions when class attributes and variables are assigned through __dict__ vs. through regular attribute access. Allowing __getattr__ on top of that could be problematic. """ name = getattr.name + "__wrapper" ir = builder.mapper.type_to_ir[cdef.info] line = getattr.line error_base = f'"__getattr__" not supported in class "{cdef.name}" because ' if ir.allow_interpreted_subclasses: builder.error(error_base + "it allows interpreted subclasses", line) if ir.inherits_python: builder.error(error_base + "it inherits from a non-native class", line) with builder.enter_method(ir, name, object_rprimitive, internal=True): attr_arg = builder.add_argument("attr", object_rprimitive) generic_getattr_result = builder.call_c(generic_getattr, [builder.self(), attr_arg], line) return_generic, call_getattr = BasicBlock(), BasicBlock() null = Integer(0, object_rprimitive, line) got_generic = builder.add( ComparisonOp(generic_getattr_result, null, ComparisonOp.NEQ, line) ) builder.add_bool_branch(got_generic, return_generic, call_getattr) builder.activate_block(return_generic) builder.add(Return(generic_getattr_result, line)) builder.activate_block(call_getattr) # No attribute matched so call user-provided __getattr__. getattr_result = builder.gen_method_call( builder.self(), getattr.name, [attr_arg], object_rprimitive, line ) builder.add(Return(getattr_result, line)) def generate_setattr_wrapper(builder: IRBuilder, cdef: ClassDef, setattr: FuncDef) -> None: """ Generate a wrapper function for __setattr__ that can be put into the tp_setattro slot. The wrapper takes two arguments besides self - attribute name and the new value. Returns 0 on success and -1 on failure. Restrictions are similar to the __getattr__ wrapper above. The wrapper calls the user-defined __setattr__ when the value to set is not NULL. When it's NULL, this means that the call to tp_setattro comes from a del statement, so it calls __delattr__ instead. If __delattr__ is not overridden in the native class, this will call the base implementation in object which doesn't work without __dict__. """ name = setattr.name + "__wrapper" ir = builder.mapper.type_to_ir[cdef.info] line = setattr.line error_base = f'"__setattr__" not supported in class "{cdef.name}" because ' if ir.allow_interpreted_subclasses: builder.error(error_base + "it allows interpreted subclasses", line) if ir.inherits_python: builder.error(error_base + "it inherits from a non-native class", line) with builder.enter_method(ir, name, c_int_rprimitive, internal=True): attr_arg = builder.add_argument("attr", object_rprimitive) value_arg = builder.add_argument("value", object_rprimitive) call_delattr, call_setattr = BasicBlock(), BasicBlock() null = Integer(0, object_rprimitive, line) is_delattr = builder.add(ComparisonOp(value_arg, null, ComparisonOp.EQ, line)) builder.add_bool_branch(is_delattr, call_delattr, call_setattr) builder.activate_block(call_delattr) delattr_symbol = cdef.info.get("__delattr__") delattr = delattr_symbol.node if delattr_symbol else None delattr_override = delattr is not None and not delattr.fullname.startswith("builtins.") if delattr_override: builder.gen_method_call(builder.self(), "__delattr__", [attr_arg], None, line) else: # Call internal function that cpython normally calls when deleting an attribute. # Cannot call object.__delattr__ here because it calls PyObject_SetAttr internally # which in turn calls our wrapper and recurses infinitely. # Note that since native classes don't have __dict__, this will raise AttributeError # for dynamic attributes. builder.call_c(generic_setattr, [builder.self(), attr_arg, null], line) builder.add(Return(Integer(0, c_int_rprimitive), line)) builder.activate_block(call_setattr) builder.gen_method_call(builder.self(), setattr.name, [attr_arg, value_arg], None, line) builder.add(Return(Integer(0, c_int_rprimitive), line)) def handle_ext_method(builder: IRBuilder, cdef: ClassDef, fdef: FuncDef) -> None: # Perform the function of visit_method for methods inside extension classes. name = fdef.name class_ir = builder.mapper.type_to_ir[cdef.info] sig = builder.mapper.fdef_to_sig(fdef, builder.options.strict_dunders_typing) func_ir, func_reg = gen_func_item(builder, fdef, name, sig, cdef) builder.functions.append(func_ir) if is_decorated(builder, fdef): # Obtain the function name in order to construct the name of the helper function. _, _, name = fdef.fullname.rpartition(".") # Read the PyTypeObject representing the class, get the callable object # representing the non-decorated method typ = builder.load_native_type_object(cdef.fullname) orig_func = builder.py_get_attr(typ, name, fdef.line) # Decorate the non-decorated method decorated_func = load_decorated_func(builder, fdef, orig_func) # Set the callable object representing the decorated method as an attribute of the # extension class. builder.primitive_op( py_setattr_op, [typ, builder.load_str(name), decorated_func], fdef.line ) if fdef.is_property: # If there is a property setter, it will be processed after the getter, # We populate the optional setter field with none for now. assert name not in class_ir.properties class_ir.properties[name] = (func_ir, None) elif fdef in builder.prop_setters: # The respective property getter must have been processed already assert name in class_ir.properties getter_ir, _ = class_ir.properties[name] class_ir.properties[name] = (getter_ir, func_ir) class_ir.methods[func_ir.decl.name] = func_ir # If this overrides a parent class method with a different type, we need # to generate a glue method to mediate between them. for base in class_ir.mro[1:]: if ( name in base.method_decls and name != "__init__" and not is_same_method_signature( class_ir.method_decls[name].sig, base.method_decls[name].sig ) ): # TODO: Support contravariant subtyping in the input argument for # property setters. Need to make a special glue method for handling this, # similar to gen_glue_property. f = gen_glue(builder, base.method_decls[name].sig, func_ir, class_ir, base, fdef) class_ir.glue_methods[(base, name)] = f builder.functions.append(f) # If the class allows interpreted children, create glue # methods that dispatch via the Python API. These will go in a # "shadow vtable" that will be assigned to interpreted # children. if class_ir.allow_interpreted_subclasses: f = gen_glue(builder, func_ir.sig, func_ir, class_ir, class_ir, fdef, do_py_ops=True) class_ir.glue_methods[(class_ir, name)] = f builder.functions.append(f) if fdef.name == "__getattr__": generate_getattr_wrapper(builder, cdef, fdef) elif fdef.name == "__setattr__": generate_setattr_wrapper(builder, cdef, fdef) elif fdef.name == "__delattr__": setattr = cdef.info.get("__setattr__") if not setattr or not setattr.node or setattr.node.fullname.startswith("builtins."): builder.error( '"__delattr__" supported only in classes that also override "__setattr__", ' + "or inherit from a native class that overrides it.", fdef.line, ) def handle_non_ext_method( builder: IRBuilder, non_ext: NonExtClassInfo, cdef: ClassDef, fdef: FuncDef ) -> None: # Perform the function of visit_method for methods inside non-extension classes. name = fdef.name sig = builder.mapper.fdef_to_sig(fdef, builder.options.strict_dunders_typing) func_ir, func_reg = gen_func_item(builder, fdef, name, sig, cdef) assert func_reg is not None builder.functions.append(func_ir) if is_decorated(builder, fdef): # The undecorated method is a generated callable class orig_func = func_reg func_reg = load_decorated_func(builder, fdef, orig_func) # TODO: Support property setters in non-extension classes if fdef.is_property: prop = builder.load_module_attr_by_fullname("builtins.property", fdef.line) func_reg = builder.py_call(prop, [func_reg], fdef.line) elif builder.mapper.func_to_decl[fdef].kind == FUNC_CLASSMETHOD: cls_meth = builder.load_module_attr_by_fullname("builtins.classmethod", fdef.line) func_reg = builder.py_call(cls_meth, [func_reg], fdef.line) elif builder.mapper.func_to_decl[fdef].kind == FUNC_STATICMETHOD: stat_meth = builder.load_module_attr_by_fullname("builtins.staticmethod", fdef.line) func_reg = builder.py_call(stat_meth, [func_reg], fdef.line) builder.add_to_non_ext_dict(non_ext, name, func_reg, fdef.line) # If we identified that this non-extension class method can be special-cased for # direct access during prepare phase, generate a "static" version of it. class_ir = builder.mapper.type_to_ir[cdef.info] name = FAST_PREFIX + fdef.name if name in class_ir.method_decls: func_ir, func_reg = gen_func_item(builder, fdef, name, sig, cdef, make_ext_method=True) class_ir.methods[name] = func_ir builder.functions.append(func_ir) def gen_func_ns(builder: IRBuilder) -> str: """Generate a namespace for a nested function using its outer function names.""" return "_".join( info.name + ("" if not info.class_name else "_" + info.class_name) for info in builder.fn_infos if info.name and info.name != "" ) def load_decorated_func(builder: IRBuilder, fdef: FuncDef, orig_func_reg: Value) -> Value: """Apply decorators to a function. Given a decorated FuncDef and an instance of the callable class representing that FuncDef, apply the corresponding decorator functions on that decorated FuncDef and return the decorated function. """ if not is_decorated(builder, fdef): # If there are no decorators associated with the function, then just return the # original function. return orig_func_reg decorators = builder.fdefs_to_decorators[fdef] func_reg = orig_func_reg for d in reversed(decorators): decorator = d.accept(builder.visitor) assert isinstance(decorator, Value), decorator func_reg = builder.py_call(decorator, [func_reg], func_reg.line) return func_reg def is_decorated(builder: IRBuilder, fdef: FuncDef) -> bool: return fdef in builder.fdefs_to_decorators def gen_glue( builder: IRBuilder, base_sig: FuncSignature, target: FuncIR, cls: ClassIR, base: ClassIR, fdef: FuncItem, *, do_py_ops: bool = False, ) -> FuncIR: """Generate glue methods that mediate between different method types in subclasses. Works on both properties and methods. See gen_glue_methods below for more details. If do_py_ops is True, then the glue methods should use generic C API operations instead of direct calls, to enable generating "shadow" glue methods that work with interpreted subclasses. """ if fdef.is_property: return gen_glue_property(builder, base_sig, target, cls, base, fdef.line, do_py_ops) else: return gen_glue_method(builder, base_sig, target, cls, base, fdef.line, do_py_ops) class ArgInfo(NamedTuple): args: list[Value] arg_names: list[str | None] arg_kinds: list[ArgKind] def get_args(builder: IRBuilder, rt_args: Sequence[RuntimeArg], line: int) -> ArgInfo: # The environment operates on Vars, so we make some up fake_vars = [(Var(arg.name), arg.type) for arg in rt_args] args = [ builder.read(builder.add_local_reg(var, type, is_arg=True), line) for var, type in fake_vars ] arg_names = [ arg.name if arg.kind.is_named() or (arg.kind.is_optional() and not arg.pos_only) else None for arg in rt_args ] arg_kinds = [arg.kind for arg in rt_args] return ArgInfo(args, arg_names, arg_kinds) def gen_glue_method( builder: IRBuilder, base_sig: FuncSignature, target: FuncIR, cls: ClassIR, base: ClassIR, line: int, do_pycall: bool, ) -> FuncIR: """Generate glue methods that mediate between different method types in subclasses. For example, if we have: class A: def f(builder: IRBuilder, x: int) -> object: ... then it is totally permissible to have a subclass class B(A): def f(builder: IRBuilder, x: object) -> int: ... since '(object) -> int' is a subtype of '(int) -> object' by the usual contra/co-variant function subtyping rules. The trickiness here is that int and object have different runtime representations in mypyc, so A.f and B.f have different signatures at the native C level. To deal with this, we need to generate glue methods that mediate between the different versions by coercing the arguments and return values. If do_pycall is True, then make the call using the C API instead of a native call. """ check_native_override(builder, base_sig, target.decl.sig, line) builder.enter() builder.ret_types[-1] = base_sig.ret_type rt_args = list(base_sig.args) if target.decl.kind == FUNC_NORMAL: rt_args[0] = RuntimeArg(base_sig.args[0].name, RInstance(cls)) arg_info = get_args(builder, rt_args, line) args, arg_kinds, arg_names = arg_info.args, arg_info.arg_kinds, arg_info.arg_names bitmap_args = None if base_sig.num_bitmap_args: args = args[: -base_sig.num_bitmap_args] arg_kinds = arg_kinds[: -base_sig.num_bitmap_args] arg_names = arg_names[: -base_sig.num_bitmap_args] bitmap_args = list(builder.builder.args[-base_sig.num_bitmap_args :]) # We can do a passthrough *args/**kwargs with a native call, but if the # args need to get distributed out to arguments, we just let python handle it if any(kind.is_star() for kind in arg_kinds) and any( not arg.kind.is_star() for arg in target.decl.sig.args ): do_pycall = True if do_pycall: if target.decl.kind == FUNC_STATICMETHOD: # FIXME: this won't work if we can do interpreted subclasses first = builder.builder.get_native_type(cls) st = 0 else: first = args[0] st = 1 retval = builder.builder.py_method_call( first, target.name, args[st:], line, arg_kinds[st:], arg_names[st:] ) else: retval = builder.builder.call( target.decl, args, arg_kinds, arg_names, line, bitmap_args=bitmap_args ) retval = builder.coerce(retval, base_sig.ret_type, line) builder.add(Return(retval)) arg_regs, _, blocks, ret_type, _ = builder.leave() if base_sig.num_bitmap_args: rt_args = rt_args[: -base_sig.num_bitmap_args] return FuncIR( FuncDecl( target.name + "__" + base.name + "_glue", cls.name, builder.module_name, FuncSignature(rt_args, ret_type), target.decl.kind, ), arg_regs, blocks, ) def check_native_override( builder: IRBuilder, base_sig: FuncSignature, sub_sig: FuncSignature, line: int ) -> None: """Report an error if an override changes signature in unsupported ways. Glue methods can work around many signature changes but not all of them. """ for base_arg, sub_arg in zip(base_sig.real_args(), sub_sig.real_args()): if base_arg.type.error_overlap: if not base_arg.optional and sub_arg.optional and base_sig.num_bitmap_args: # This would change the meanings of bits in the argument defaults # bitmap, which we don't support. We'd need to do tricky bit # manipulations to support this generally. builder.error( "An argument with type " + f'"{base_arg.type}" cannot be given a default value in a method override', line, ) if base_arg.type.error_overlap or sub_arg.type.error_overlap: if not is_same_type(base_arg.type, sub_arg.type): # This would change from signaling a default via an error value to # signaling a default via bitmap, which we don't support. builder.error( "Incompatible argument type " + f'"{sub_arg.type}" (base class has type "{base_arg.type}")', line, ) def gen_glue_property( builder: IRBuilder, sig: FuncSignature, target: FuncIR, cls: ClassIR, base: ClassIR, line: int, do_pygetattr: bool, ) -> FuncIR: """Generate glue methods for properties that mediate between different subclass types. Similarly to methods, properties of derived types can be covariantly subtyped. Thus, properties also require glue. However, this only requires the return type to change. Further, instead of a method call, an attribute get is performed. If do_pygetattr is True, then get the attribute using the Python C API instead of a native call. """ builder.enter() rt_arg = RuntimeArg(SELF_NAME, RInstance(cls)) self_target = builder.add_self_to_env(cls) arg = builder.read(self_target, line) builder.ret_types[-1] = sig.ret_type if do_pygetattr: retval = builder.py_get_attr(arg, target.name, line) else: retval = builder.add(GetAttr(arg, target.name, line)) retbox = builder.coerce(retval, sig.ret_type, line) builder.add(Return(retbox)) args, _, blocks, return_type, _ = builder.leave() return FuncIR( FuncDecl( target.name + "__" + base.name + "_glue", cls.name, builder.module_name, FuncSignature([rt_arg], return_type), ), args, blocks, ) def get_func_target(builder: IRBuilder, fdef: FuncDef) -> AssignmentTarget: """Given a FuncDef, return the target for the instance of its callable class. If the function was not already defined somewhere, then define it and add it to the current environment. """ if fdef.original_def: # Get the target associated with the previously defined FuncDef. return builder.lookup(fdef.original_def) if builder.fn_info.is_generator or builder.fn_info.add_nested_funcs_to_env: return builder.lookup(fdef) return builder.add_local_reg(fdef, object_rprimitive) # This function still does not support the following imports. # import json as _json # from json import decoder # Using either _json.JSONDecoder or decoder.JSONDecoder as a type hint for a dataclass field will fail. # See issue mypyc/mypyc#1099. def load_type(builder: IRBuilder, typ: TypeInfo, unbounded_type: Type | None, line: int) -> Value: # typ.fullname contains the module where the class object was defined. However, it is possible # that the class object's module was not imported in the file currently being compiled. So, we # use unbounded_type.name (if provided by caller) to load the class object through one of the # imported modules. # Example: for `json.JSONDecoder`, typ.fullname is `json.decoder.JSONDecoder` but the Python # file may import `json` not `json.decoder`. # Another corner case: The Python file being compiled imports mod1 and has a type hint # `mod1.OuterClass.InnerClass`. But, mod1/__init__.py might import OuterClass like this: # `from mod2.mod3 import OuterClass`. In this case, typ.fullname is # `mod2.mod3.OuterClass.InnerClass` and `unbounded_type.name` is `mod1.OuterClass.InnerClass`. # So, we must use unbounded_type.name to load the class object. # See issue mypyc/mypyc#1087. load_attr_path = ( unbounded_type.name if isinstance(unbounded_type, UnboundType) else typ.fullname ).removesuffix(f".{typ.name}") if typ in builder.mapper.type_to_ir: class_ir = builder.mapper.type_to_ir[typ] class_obj = builder.builder.get_native_type(class_ir) elif typ.fullname in builtin_names: builtin_addr_type, src = builtin_names[typ.fullname] class_obj = builder.add(LoadAddress(builtin_addr_type, src, line)) # This elif-condition finds the longest import that matches the load_attr_path. elif module_name := max( (i for i in builder.imports if load_attr_path == i or load_attr_path.startswith(f"{i}.")), default="", key=len, ): # Load the imported module. loaded_module = builder.load_module(module_name) # Recursively load attributes of the imported module. These may be submodules, classes or # any other object. for attr in ( load_attr_path.removeprefix(f"{module_name}.").split(".") if load_attr_path != module_name else [] ): loaded_module = builder.py_get_attr(loaded_module, attr, line) class_obj = builder.builder.get_attr( loaded_module, typ.name, object_rprimitive, line, borrow=False ) else: class_obj = builder.load_global_str(typ.name, line) return class_obj def load_func(builder: IRBuilder, func_name: str, fullname: str | None, line: int) -> Value: if fullname and not fullname.startswith(builder.current_module): # we're calling a function in a different module # We can't use load_module_attr_by_fullname here because we need to load the function using # func_name, not the name specified by fullname (which can be different for underscore # function) module = fullname.rsplit(".")[0] loaded_module = builder.load_module(module) func = builder.py_get_attr(loaded_module, func_name, line) else: func = builder.load_global_str(func_name, line) return func def generate_singledispatch_dispatch_function( builder: IRBuilder, main_singledispatch_function_name: str, fitem: FuncDef ) -> None: line = fitem.line current_func_decl = builder.mapper.func_to_decl[fitem] arg_info = get_args(builder, current_func_decl.sig.args, line) dispatch_func_obj = builder.self() arg_type = builder.builder.get_type_of_obj(arg_info.args[0], line) dispatch_cache = builder.builder.get_attr( dispatch_func_obj, "dispatch_cache", dict_rprimitive, line ) call_find_impl, use_cache, call_func = BasicBlock(), BasicBlock(), BasicBlock() get_result = builder.primitive_op(dict_get_method_with_none, [dispatch_cache, arg_type], line) is_not_none = builder.translate_is_op(get_result, builder.none_object(), "is not", line) impl_to_use = Register(object_rprimitive) builder.add_bool_branch(is_not_none, use_cache, call_find_impl) builder.activate_block(use_cache) builder.assign(impl_to_use, get_result, line) builder.goto(call_func) builder.activate_block(call_find_impl) find_impl = builder.load_module_attr_by_fullname("functools._find_impl", line) registry = load_singledispatch_registry(builder, dispatch_func_obj, line) uncached_impl = builder.py_call(find_impl, [arg_type, registry], line) builder.call_c(exact_dict_set_item_op, [dispatch_cache, arg_type, uncached_impl], line) builder.assign(impl_to_use, uncached_impl, line) builder.goto(call_func) builder.activate_block(call_func) gen_calls_to_correct_impl(builder, impl_to_use, arg_info, fitem, line) def gen_calls_to_correct_impl( builder: IRBuilder, impl_to_use: Value, arg_info: ArgInfo, fitem: FuncDef, line: int ) -> None: current_func_decl = builder.mapper.func_to_decl[fitem] def gen_native_func_call_and_return(fdef: FuncDef) -> None: func_decl = builder.mapper.func_to_decl[fdef] ret_val = builder.builder.call( func_decl, arg_info.args, arg_info.arg_kinds, arg_info.arg_names, line ) coerced = builder.coerce(ret_val, current_func_decl.sig.ret_type, line) builder.add(Return(coerced)) typ, src = builtin_names["builtins.int"] int_type_obj = builder.add(LoadAddress(typ, src, line)) is_int = builder.builder.type_is_op(impl_to_use, int_type_obj, line) native_call, non_native_call = BasicBlock(), BasicBlock() builder.add_bool_branch(is_int, native_call, non_native_call) builder.activate_block(native_call) passed_id = builder.add(Unbox(impl_to_use, int_rprimitive, line)) native_ids = get_native_impl_ids(builder, fitem) for impl, i in native_ids.items(): call_impl, next_impl = BasicBlock(), BasicBlock() current_id = builder.load_int(i) cond = builder.binary_op(passed_id, current_id, "==", line) builder.add_bool_branch(cond, call_impl, next_impl) # Call the registered implementation builder.activate_block(call_impl) gen_native_func_call_and_return(impl) builder.activate_block(next_impl) # We've already handled all the possible integer IDs, so we should never get here builder.add(Unreachable()) builder.activate_block(non_native_call) ret_val = builder.py_call( impl_to_use, arg_info.args, line, arg_info.arg_kinds, arg_info.arg_names ) coerced = builder.coerce(ret_val, current_func_decl.sig.ret_type, line) builder.add(Return(coerced)) def gen_dispatch_func_ir( builder: IRBuilder, fitem: FuncDef, main_func_name: str, dispatch_name: str, sig: FuncSignature ) -> tuple[FuncIR, Value]: """Create a dispatch function (a function that checks the first argument type and dispatches to the correct implementation) """ builder.enter(FuncInfo(fitem, dispatch_name)) setup_callable_class(builder) builder.fn_info.callable_class.ir.attributes["registry"] = dict_rprimitive builder.fn_info.callable_class.ir.attributes["dispatch_cache"] = dict_rprimitive builder.fn_info.callable_class.ir.has_dict = True builder.fn_info.callable_class.ir.needs_getseters = True generate_singledispatch_callable_class_ctor(builder) generate_singledispatch_dispatch_function(builder, main_func_name, fitem) args, _, blocks, _, fn_info = builder.leave() dispatch_callable_class = add_call_to_callable_class(builder, args, blocks, sig, fn_info) builder.functions.append(dispatch_callable_class) add_get_to_callable_class(builder, fn_info) add_register_method_to_callable_class(builder, fn_info) func_reg = instantiate_callable_class(builder, fn_info) dispatch_func_ir = generate_dispatch_glue_native_function( builder, fitem, dispatch_callable_class.decl, dispatch_name ) return dispatch_func_ir, func_reg def generate_dispatch_glue_native_function( builder: IRBuilder, fitem: FuncDef, callable_class_decl: FuncDecl, dispatch_name: str ) -> FuncIR: line = fitem.line builder.enter() # We store the callable class in the globals dict for this function callable_class = builder.load_global_str(dispatch_name, line) decl = builder.mapper.func_to_decl[fitem] arg_info = get_args(builder, decl.sig.args, line) args = [callable_class] + arg_info.args arg_kinds = [ArgKind.ARG_POS] + arg_info.arg_kinds arg_names = arg_info.arg_names arg_names.insert(0, "self") ret_val = builder.builder.call(callable_class_decl, args, arg_kinds, arg_names, line) builder.add(Return(ret_val)) arg_regs, _, blocks, _, fn_info = builder.leave() return FuncIR(decl, arg_regs, blocks) def generate_singledispatch_callable_class_ctor(builder: IRBuilder) -> None: """Create an __init__ that sets registry and dispatch_cache to empty dicts""" line = -1 class_ir = builder.fn_info.callable_class.ir with builder.enter_method(class_ir, "__init__", bool_rprimitive): empty_dict = builder.call_c(dict_new_op, [], line) builder.add(SetAttr(builder.self(), "registry", empty_dict, line)) cache_dict = builder.call_c(dict_new_op, [], line) dispatch_cache_str = builder.load_str("dispatch_cache") # use the py_setattr_op instead of SetAttr so that it also gets added to our __dict__ builder.primitive_op(py_setattr_op, [builder.self(), dispatch_cache_str, cache_dict], line) # the generated C code seems to expect that __init__ returns a char, so just return 1 builder.add(Return(Integer(1, bool_rprimitive, line), line)) def add_register_method_to_callable_class(builder: IRBuilder, fn_info: FuncInfo) -> None: line = -1 with builder.enter_method(fn_info.callable_class.ir, "register", object_rprimitive): cls_arg = builder.add_argument("cls", object_rprimitive) func_arg = builder.add_argument("func", object_rprimitive, ArgKind.ARG_OPT) ret_val = builder.call_c(register_function, [builder.self(), cls_arg, func_arg], line) builder.add(Return(ret_val, line)) def load_singledispatch_registry(builder: IRBuilder, dispatch_func_obj: Value, line: int) -> Value: return builder.builder.get_attr(dispatch_func_obj, "registry", dict_rprimitive, line) def singledispatch_main_func_name(orig_name: str) -> str: return f"__mypyc_singledispatch_main_function_{orig_name}__" def maybe_insert_into_registry_dict(builder: IRBuilder, fitem: FuncDef) -> None: line = fitem.line is_singledispatch_main_func = fitem in builder.singledispatch_impls # dict of singledispatch_func to list of register_types (fitem is the function to register) to_register: defaultdict[FuncDef, list[TypeInfo]] = defaultdict(list) for main_func, impls in builder.singledispatch_impls.items(): for dispatch_type, impl in impls: if fitem == impl: to_register[main_func].append(dispatch_type) if not to_register and not is_singledispatch_main_func: return if is_singledispatch_main_func: main_func_name = singledispatch_main_func_name(fitem.name) main_func_obj = load_func(builder, main_func_name, fitem.fullname, line) loaded_object_type = builder.load_module_attr_by_fullname("builtins.object", line) registry_dict = builder.builder.make_dict([(loaded_object_type, main_func_obj)], line) dispatch_func_obj = builder.load_global_str(fitem.name, line) builder.primitive_op( py_setattr_op, [dispatch_func_obj, builder.load_str("registry"), registry_dict], line ) for singledispatch_func, types in to_register.items(): # TODO: avoid recomputing the native IDs for all the functions every time we find a new # function native_ids = get_native_impl_ids(builder, singledispatch_func) if fitem not in native_ids: to_insert = load_func(builder, fitem.name, fitem.fullname, line) else: current_id = native_ids[fitem] load_literal = LoadLiteral(current_id, object_rprimitive) to_insert = builder.add(load_literal) # TODO: avoid reloading the registry here if we just created it dispatch_func_obj = load_func( builder, singledispatch_func.name, singledispatch_func.fullname, line ) registry = load_singledispatch_registry(builder, dispatch_func_obj, line) for typ in types: loaded_type = load_type(builder, typ, None, line) builder.call_c(exact_dict_set_item_op, [registry, loaded_type, to_insert], line) dispatch_cache = builder.builder.get_attr( dispatch_func_obj, "dispatch_cache", dict_rprimitive, line ) builder.gen_method_call(dispatch_cache, "clear", [], None, line) def get_native_impl_ids(builder: IRBuilder, singledispatch_func: FuncDef) -> dict[FuncDef, int]: """Return a dict of registered implementation to native implementation ID for all implementations """ impls = builder.singledispatch_impls[singledispatch_func] return {impl: i for i, (typ, impl) in enumerate(impls) if not is_decorated(builder, impl)} def gen_property_getter_ir( builder: IRBuilder, func_decl: FuncDecl, cdef: ClassDef, is_trait: bool ) -> FuncIR: """Generate an implicit trivial property getter for an attribute. These are used if an attribute can also be accessed as a property. """ name = func_decl.name builder.enter(name) self_reg = builder.add_argument("self", func_decl.sig.args[0].type) if not is_trait: value = builder.builder.get_attr(self_reg, name, func_decl.sig.ret_type, -1) builder.add(Return(value)) else: builder.add(Unreachable()) args, _, blocks, ret_type, fn_info = builder.leave() return FuncIR(func_decl, args, blocks) def gen_property_setter_ir( builder: IRBuilder, func_decl: FuncDecl, cdef: ClassDef, is_trait: bool ) -> FuncIR: """Generate an implicit trivial property setter for an attribute. These are used if an attribute can also be accessed as a property. """ name = func_decl.name builder.enter(name) self_reg = builder.add_argument("self", func_decl.sig.args[0].type) value_reg = builder.add_argument("value", func_decl.sig.args[1].type) assert name.startswith(PROPSET_PREFIX) attr_name = name[len(PROPSET_PREFIX) :] if not is_trait: builder.add(SetAttr(self_reg, attr_name, value_reg, -1)) builder.add(Return(builder.none())) args, _, blocks, ret_type, fn_info = builder.leave() return FuncIR(func_decl, args, blocks) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/generator.py0000644000175100017510000004132615112307767017420 0ustar00runnerrunner"""Generate IR for generator functions. A generator function is represented by a class that implements the generator protocol and keeps track of the generator state, including local variables. The top-level logic for dealing with generator functions is in mypyc.irbuild.function. """ from __future__ import annotations from typing import Callable from mypy.nodes import ARG_OPT, FuncDef, Var from mypyc.common import ENV_ATTR_NAME, GENERATOR_ATTRIBUTE_PREFIX, NEXT_LABEL_ATTR_NAME from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncDecl, FuncIR from mypyc.ir.ops import ( NO_TRACEBACK_LINE_NO, BasicBlock, Branch, Call, Goto, Integer, MethodCall, RaiseStandardError, Register, Return, SetAttr, TupleSet, Unreachable, Value, ) from mypyc.ir.rtypes import ( RInstance, int32_rprimitive, object_pointer_rprimitive, object_rprimitive, ) from mypyc.irbuild.builder import IRBuilder, calculate_arg_defaults, gen_arg_defaults from mypyc.irbuild.context import FuncInfo from mypyc.irbuild.env_class import ( add_args_to_env, add_vars_to_env, finalize_env_class, load_env_registers, load_outer_env, load_outer_envs, setup_func_for_recursive_call, ) from mypyc.irbuild.nonlocalcontrol import ExceptNonlocalControl from mypyc.irbuild.prepare import GENERATOR_HELPER_NAME from mypyc.primitives.exc_ops import ( error_catch_op, exc_matches_op, raise_exception_with_tb_op, reraise_exception_op, restore_exc_info_op, ) def gen_generator_func( builder: IRBuilder, gen_func_ir: Callable[ [list[Register], list[BasicBlock], FuncInfo], tuple[FuncIR, Value | None] ], ) -> tuple[FuncIR, Value | None]: """Generate IR for generator function that returns generator object.""" setup_generator_class(builder) load_env_registers(builder, prefix=GENERATOR_ATTRIBUTE_PREFIX) gen_arg_defaults(builder) if builder.fn_info.can_merge_generator_and_env_classes(): gen = instantiate_generator_class(builder) builder.fn_info._curr_env_reg = gen finalize_env_class(builder, prefix=GENERATOR_ATTRIBUTE_PREFIX) else: finalize_env_class(builder, prefix=GENERATOR_ATTRIBUTE_PREFIX) gen = instantiate_generator_class(builder) builder.add(Return(gen)) args, _, blocks, ret_type, fn_info = builder.leave() func_ir, func_reg = gen_func_ir(args, blocks, fn_info) return func_ir, func_reg def gen_generator_func_body(builder: IRBuilder, fn_info: FuncInfo, func_reg: Value | None) -> None: """Generate IR based on the body of a generator function. Add "__next__", "__iter__" and other generator methods to the generator class that implements the function (each function gets a separate class). Return the symbol table for the body. """ builder.enter(fn_info, ret_type=object_rprimitive) setup_env_for_generator_class(builder) load_outer_envs(builder, builder.fn_info.generator_class) top_level = builder.top_level_fn_info() fitem = fn_info.fitem if ( builder.fn_info.is_nested and isinstance(fitem, FuncDef) and top_level and top_level.add_nested_funcs_to_env ): setup_func_for_recursive_call( builder, fitem, builder.fn_info.generator_class, prefix=GENERATOR_ATTRIBUTE_PREFIX ) create_switch_for_generator_class(builder) add_raise_exception_blocks_to_generator_class(builder, fitem.line) add_vars_to_env(builder, prefix=GENERATOR_ATTRIBUTE_PREFIX) builder.accept(fitem.body) builder.maybe_add_implicit_return() populate_switch_for_generator_class(builder) # Hang on to the local symbol table, since the caller will use it # to calculate argument defaults. symtable = builder.symtables[-1] args, _, blocks, ret_type, fn_info = builder.leave() add_methods_to_generator_class(builder, fn_info, args, blocks, fitem.is_coroutine) # Evaluate argument defaults in the surrounding scope, since we # calculate them *once* when the function definition is evaluated. calculate_arg_defaults(builder, fn_info, func_reg, symtable) def instantiate_generator_class(builder: IRBuilder) -> Value: fitem = builder.fn_info.fitem generator_reg = builder.add(Call(builder.fn_info.generator_class.ir.ctor, [], fitem.line)) if builder.fn_info.can_merge_generator_and_env_classes(): # Set the generator instance to the initial state (zero). zero = Integer(0) builder.add(SetAttr(generator_reg, NEXT_LABEL_ATTR_NAME, zero, fitem.line)) else: # Get the current environment register. If the current function is nested, then the # generator class gets instantiated from the callable class' '__call__' method, and hence # we use the callable class' environment register. Otherwise, we use the original # function's environment register. if builder.fn_info.is_nested: curr_env_reg = builder.fn_info.callable_class.curr_env_reg else: curr_env_reg = builder.fn_info.curr_env_reg # Set the generator class' environment attribute to point at the environment class # defined in the current scope. builder.add(SetAttr(generator_reg, ENV_ATTR_NAME, curr_env_reg, fitem.line)) # Set the generator instance's environment to the initial state (zero). zero = Integer(0) builder.add(SetAttr(curr_env_reg, NEXT_LABEL_ATTR_NAME, zero, fitem.line)) return generator_reg def setup_generator_class(builder: IRBuilder) -> ClassIR: mapper = builder.mapper assert isinstance(builder.fn_info.fitem, FuncDef), builder.fn_info.fitem generator_class_ir = mapper.fdef_to_generator[builder.fn_info.fitem] if builder.fn_info.can_merge_generator_and_env_classes(): builder.fn_info.env_class = generator_class_ir else: generator_class_ir.attributes[ENV_ATTR_NAME] = RInstance(builder.fn_info.env_class) builder.classes.append(generator_class_ir) return generator_class_ir def create_switch_for_generator_class(builder: IRBuilder) -> None: builder.add(Goto(builder.fn_info.generator_class.switch_block)) block = BasicBlock() builder.fn_info.generator_class.continuation_blocks.append(block) builder.activate_block(block) def populate_switch_for_generator_class(builder: IRBuilder) -> None: cls = builder.fn_info.generator_class line = builder.fn_info.fitem.line builder.activate_block(cls.switch_block) for label, true_block in enumerate(cls.continuation_blocks): false_block = BasicBlock() comparison = builder.binary_op(cls.next_label_reg, Integer(label), "==", line) builder.add_bool_branch(comparison, true_block, false_block) builder.activate_block(false_block) builder.add(RaiseStandardError(RaiseStandardError.STOP_ITERATION, None, line)) builder.add(Unreachable()) def add_raise_exception_blocks_to_generator_class(builder: IRBuilder, line: int) -> None: """Add error handling blocks to a generator class. Generates blocks to check if error flags are set while calling the helper method for generator functions, and raises an exception if those flags are set. """ cls = builder.fn_info.generator_class assert cls.exc_regs is not None exc_type, exc_val, exc_tb = cls.exc_regs # Check to see if an exception was raised. error_block = BasicBlock() ok_block = BasicBlock() comparison = builder.translate_is_op(exc_type, builder.none_object(), "is not", line) builder.add_bool_branch(comparison, error_block, ok_block) builder.activate_block(error_block) builder.call_c(raise_exception_with_tb_op, [exc_type, exc_val, exc_tb], line) builder.add(Unreachable()) builder.goto_and_activate(ok_block) def add_methods_to_generator_class( builder: IRBuilder, fn_info: FuncInfo, arg_regs: list[Register], blocks: list[BasicBlock], is_coroutine: bool, ) -> None: helper_fn_decl = add_helper_to_generator_class(builder, arg_regs, blocks, fn_info) add_next_to_generator_class(builder, fn_info, helper_fn_decl) add_send_to_generator_class(builder, fn_info, helper_fn_decl) add_iter_to_generator_class(builder, fn_info) add_throw_to_generator_class(builder, fn_info, helper_fn_decl) add_close_to_generator_class(builder, fn_info) if is_coroutine: add_await_to_generator_class(builder, fn_info) def add_helper_to_generator_class( builder: IRBuilder, arg_regs: list[Register], blocks: list[BasicBlock], fn_info: FuncInfo ) -> FuncDecl: """Generates a helper method for a generator class, called by '__next__' and 'throw'.""" helper_fn_decl = fn_info.generator_class.ir.method_decls[GENERATOR_HELPER_NAME] helper_fn_ir = FuncIR( helper_fn_decl, arg_regs, blocks, fn_info.fitem.line, traceback_name=fn_info.fitem.name ) fn_info.generator_class.ir.methods[GENERATOR_HELPER_NAME] = helper_fn_ir builder.functions.append(helper_fn_ir) fn_info.env_class.env_user_function = helper_fn_ir return helper_fn_decl def add_iter_to_generator_class(builder: IRBuilder, fn_info: FuncInfo) -> None: """Generates the '__iter__' method for a generator class.""" with builder.enter_method(fn_info.generator_class.ir, "__iter__", object_rprimitive, fn_info): builder.add(Return(builder.self())) def add_next_to_generator_class(builder: IRBuilder, fn_info: FuncInfo, fn_decl: FuncDecl) -> None: """Generates the '__next__' method for a generator class.""" with builder.enter_method(fn_info.generator_class.ir, "__next__", object_rprimitive, fn_info): none_reg = builder.none_object() # Call the helper function with error flags set to Py_None, and return that result. result = builder.add( Call( fn_decl, [ builder.self(), none_reg, none_reg, none_reg, none_reg, Integer(0, object_pointer_rprimitive), ], fn_info.fitem.line, ) ) builder.add(Return(result)) def add_send_to_generator_class(builder: IRBuilder, fn_info: FuncInfo, fn_decl: FuncDecl) -> None: """Generates the 'send' method for a generator class.""" with builder.enter_method(fn_info.generator_class.ir, "send", object_rprimitive, fn_info): arg = builder.add_argument("arg", object_rprimitive) none_reg = builder.none_object() # Call the helper function with error flags set to Py_None, and return that result. result = builder.add( Call( fn_decl, [ builder.self(), none_reg, none_reg, none_reg, builder.read(arg), Integer(0, object_pointer_rprimitive), ], fn_info.fitem.line, ) ) builder.add(Return(result)) def add_throw_to_generator_class(builder: IRBuilder, fn_info: FuncInfo, fn_decl: FuncDecl) -> None: """Generates the 'throw' method for a generator class.""" with builder.enter_method(fn_info.generator_class.ir, "throw", object_rprimitive, fn_info): typ = builder.add_argument("type", object_rprimitive) val = builder.add_argument("value", object_rprimitive, ARG_OPT) tb = builder.add_argument("traceback", object_rprimitive, ARG_OPT) # Because the value and traceback arguments are optional and hence # can be NULL if not passed in, we have to assign them Py_None if # they are not passed in. none_reg = builder.none_object() builder.assign_if_null(val, lambda: none_reg, builder.fn_info.fitem.line) builder.assign_if_null(tb, lambda: none_reg, builder.fn_info.fitem.line) # Call the helper function using the arguments passed in, and return that result. result = builder.add( Call( fn_decl, [ builder.self(), builder.read(typ), builder.read(val), builder.read(tb), none_reg, Integer(0, object_pointer_rprimitive), ], fn_info.fitem.line, ) ) builder.add(Return(result)) def add_close_to_generator_class(builder: IRBuilder, fn_info: FuncInfo) -> None: """Generates the '__close__' method for a generator class.""" with builder.enter_method(fn_info.generator_class.ir, "close", object_rprimitive, fn_info): except_block, else_block = BasicBlock(), BasicBlock() builder.builder.push_error_handler(except_block) builder.goto_and_activate(BasicBlock()) generator_exit = builder.load_module_attr_by_fullname( "builtins.GeneratorExit", fn_info.fitem.line ) builder.add( MethodCall( builder.self(), "throw", [generator_exit, builder.none_object(), builder.none_object()], ) ) builder.goto(else_block) builder.builder.pop_error_handler() builder.activate_block(except_block) old_exc = builder.call_c(error_catch_op, [], fn_info.fitem.line) builder.nonlocal_control.append( ExceptNonlocalControl(builder.nonlocal_control[-1], old_exc) ) stop_iteration = builder.load_module_attr_by_fullname( "builtins.StopIteration", fn_info.fitem.line ) exceptions = builder.add(TupleSet([generator_exit, stop_iteration], fn_info.fitem.line)) matches = builder.call_c(exc_matches_op, [exceptions], fn_info.fitem.line) match_block, non_match_block = BasicBlock(), BasicBlock() builder.add(Branch(matches, match_block, non_match_block, Branch.BOOL)) builder.activate_block(match_block) builder.call_c(restore_exc_info_op, [builder.read(old_exc)], fn_info.fitem.line) builder.add(Return(builder.none_object())) builder.activate_block(non_match_block) builder.call_c(reraise_exception_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) builder.nonlocal_control.pop() builder.activate_block(else_block) builder.add( RaiseStandardError( RaiseStandardError.RUNTIME_ERROR, "generator ignored GeneratorExit", fn_info.fitem.line, ) ) builder.add(Unreachable()) def add_await_to_generator_class(builder: IRBuilder, fn_info: FuncInfo) -> None: """Generates the '__await__' method for a generator class.""" with builder.enter_method(fn_info.generator_class.ir, "__await__", object_rprimitive, fn_info): builder.add(Return(builder.self())) def setup_env_for_generator_class(builder: IRBuilder) -> None: """Populates the environment for a generator class.""" fitem = builder.fn_info.fitem cls = builder.fn_info.generator_class self_target = builder.add_self_to_env(cls.ir) # Add the type, value, and traceback variables to the environment. exc_type = builder.add_local(Var("type"), object_rprimitive, is_arg=True) exc_val = builder.add_local(Var("value"), object_rprimitive, is_arg=True) exc_tb = builder.add_local(Var("traceback"), object_rprimitive, is_arg=True) # TODO: Use the right type here instead of object? exc_arg = builder.add_local(Var("arg"), object_rprimitive, is_arg=True) # Parameter that can used to pass a pointer which can used instead of # raising StopIteration(value). If the value is NULL, this won't be used. stop_iter_value_arg = builder.add_local( Var("stop_iter_ptr"), object_pointer_rprimitive, is_arg=True ) cls.exc_regs = (exc_type, exc_val, exc_tb) cls.send_arg_reg = exc_arg cls.stop_iter_value_reg = stop_iter_value_arg cls.self_reg = builder.read(self_target, fitem.line) if builder.fn_info.can_merge_generator_and_env_classes(): cls.curr_env_reg = cls.self_reg else: cls.curr_env_reg = load_outer_env(builder, cls.self_reg, builder.symtables[-1]) # Define a variable representing the label to go to the next time # the '__next__' function of the generator is called, and add it # as an attribute to the environment class. cls.next_label_target = builder.add_var_to_env_class( Var(NEXT_LABEL_ATTR_NAME), int32_rprimitive, cls, reassign=False, always_defined=True ) # Add arguments from the original generator function to the # environment of the generator class. add_args_to_env( builder, local=False, base=cls, reassign=False, prefix=GENERATOR_ATTRIBUTE_PREFIX ) # Set the next label register for the generator class. cls.next_label_reg = builder.read(cls.next_label_target, fitem.line) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/ll_builder.py0000644000175100017510000034030415112307767017545 0ustar00runnerrunner"""A "low-level" IR builder class. See the docstring of class LowLevelIRBuilder for more information. """ from __future__ import annotations import sys from collections.abc import Sequence from typing import Callable, Final, Optional, cast from typing_extensions import TypeGuard from mypy.argmap import map_actuals_to_formals from mypy.nodes import ARG_POS, ARG_STAR, ARG_STAR2, ArgKind from mypy.operators import op_methods, unary_op_methods from mypy.types import AnyType, TypeOfAny from mypyc.common import ( BITMAP_BITS, FAST_ISINSTANCE_MAX_SUBCLASSES, FAST_PREFIX, IS_FREE_THREADED, MAX_LITERAL_SHORT_INT, MAX_SHORT_INT, MIN_LITERAL_SHORT_INT, MIN_SHORT_INT, PLATFORM_SIZE, ) from mypyc.errors import Errors from mypyc.ir.class_ir import ClassIR, all_concrete_classes from mypyc.ir.func_ir import FuncDecl, FuncSignature from mypyc.ir.ops import ( ERR_FALSE, ERR_NEVER, NAMESPACE_MODULE, NAMESPACE_STATIC, NAMESPACE_TYPE, Assign, AssignMulti, BasicBlock, Box, Branch, Call, CallC, Cast, ComparisonOp, Extend, Float, FloatComparisonOp, FloatNeg, FloatOp, GetAttr, GetElementPtr, Goto, Integer, IntOp, KeepAlive, LoadAddress, LoadErrorValue, LoadGlobal, LoadLiteral, LoadMem, LoadStatic, MethodCall, Op, PrimitiveDescription, PrimitiveOp, RaiseStandardError, Register, Truncate, TupleGet, TupleSet, Unbox, Unreachable, Value, float_comparison_op_to_id, float_op_to_id, int_op_to_id, ) from mypyc.ir.rtypes import ( PyObject, PySetObject, RArray, RInstance, RPrimitive, RTuple, RType, RUnion, bit_rprimitive, bitmap_rprimitive, bool_rprimitive, bytes_rprimitive, c_int_rprimitive, c_pointer_rprimitive, c_pyssize_t_rprimitive, c_size_t_rprimitive, check_native_int_range, float_rprimitive, int_rprimitive, is_bool_or_bit_rprimitive, is_bytes_rprimitive, is_dict_rprimitive, is_fixed_width_rtype, is_float_rprimitive, is_frozenset_rprimitive, is_int16_rprimitive, is_int32_rprimitive, is_int64_rprimitive, is_int_rprimitive, is_list_rprimitive, is_none_rprimitive, is_object_rprimitive, is_optional_type, is_set_rprimitive, is_short_int_rprimitive, is_str_rprimitive, is_tagged, is_tuple_rprimitive, is_uint8_rprimitive, none_rprimitive, object_pointer_rprimitive, object_rprimitive, optional_value_type, pointer_rprimitive, short_int_rprimitive, str_rprimitive, ) from mypyc.irbuild.util import concrete_arg_kind from mypyc.options import CompilerOptions from mypyc.primitives.bytes_ops import bytes_compare from mypyc.primitives.dict_ops import ( dict_build_op, dict_copy, dict_copy_op, dict_new_op, dict_ssize_t_size_op, dict_update_in_display_op, ) from mypyc.primitives.exc_ops import err_occurred_op, keep_propagating_op from mypyc.primitives.float_ops import copysign_op, int_to_float_op from mypyc.primitives.generic_ops import ( generic_len_op, generic_ssize_t_len_op, py_call_op, py_call_with_kwargs_op, py_call_with_posargs_op, py_getattr_op, py_method_call_op, py_vectorcall_method_op, py_vectorcall_op, ) from mypyc.primitives.int_ops import ( int16_divide_op, int16_mod_op, int16_overflow, int32_divide_op, int32_mod_op, int32_overflow, int64_divide_op, int64_mod_op, int64_to_int_op, int_to_int32_op, int_to_int64_op, ssize_t_to_int_op, uint8_overflow, ) from mypyc.primitives.list_ops import list_build_op, list_extend_op, list_items, new_list_op from mypyc.primitives.misc_ops import ( bool_op, buf_init_item, debug_print_op, fast_isinstance_op, none_object_op, not_implemented_op, set_immortal_op, var_object_size, ) from mypyc.primitives.registry import ( ERR_NEG_INT, CFunctionDescription, binary_ops, method_call_ops, unary_ops, ) from mypyc.primitives.set_ops import new_set_op from mypyc.primitives.str_ops import ( str_check_if_true, str_eq, str_eq_literal, str_ssize_t_size_op, unicode_compare, ) from mypyc.primitives.tuple_ops import ( list_tuple_op, load_empty_tuple_constant_op, new_tuple_op, new_tuple_with_length_op, sequence_tuple_op, ) from mypyc.rt_subtype import is_runtime_subtype from mypyc.sametype import is_same_type from mypyc.subtype import is_subtype DictEntry = tuple[Optional[Value], Value] # If the number of items is less than the threshold when initializing # a list, we would inline the generate IR using SetMem and expanded # for-loop. Otherwise, we would call `list_build_op` for larger lists. # TODO: The threshold is a randomly chosen number which needs further # study on real-world projects for a better balance. LIST_BUILDING_EXPANSION_THRESHOLD = 10 # From CPython PY_VECTORCALL_ARGUMENTS_OFFSET: Final = 1 << (PLATFORM_SIZE * 8 - 1) FIXED_WIDTH_INT_BINARY_OPS: Final = { "+", "-", "*", "//", "%", "&", "|", "^", "<<", ">>", "+=", "-=", "*=", "//=", "%=", "&=", "|=", "^=", "<<=", ">>=", } # Binary operations on bools that are specialized and don't just promote operands to int BOOL_BINARY_OPS: Final = {"&", "&=", "|", "|=", "^", "^=", "==", "!=", "<", "<=", ">", ">="} class LowLevelIRBuilder: """A "low-level" IR builder class. LowLevelIRBuilder provides core abstractions we use for constructing IR as well as a number of higher-level ones (accessing attributes, calling functions and methods, and coercing between types, for example). The core principle of the low-level IR builder is that all of its facilities operate solely on the mypyc IR level and not the mypy AST level---it has *no knowledge* of mypy types or expressions. The mypyc.irbuilder.builder.IRBuilder class wraps an instance of this class and provides additional functionality to transform mypy AST nodes to IR. """ def __init__(self, errors: Errors | None, options: CompilerOptions) -> None: self.errors = errors self.options = options self.args: list[Register] = [] self.blocks: list[BasicBlock] = [] # Stack of except handler entry blocks self.error_handlers: list[BasicBlock | None] = [None] # Values that we need to keep alive as long as we have borrowed # temporaries. Use flush_keep_alives() to mark the end of the live range. self.keep_alives: list[Value] = [] def set_module(self, module_name: str, module_path: str) -> None: """Set the name and path of the current module.""" self.module_name = module_name self.module_path = module_path # Basic operations def add(self, op: Op) -> Value: """Add an op.""" assert not self.blocks[-1].terminated, "Can't add to finished block" self.blocks[-1].ops.append(op) return op def goto(self, target: BasicBlock) -> None: """Add goto to a basic block.""" if not self.blocks[-1].terminated: self.add(Goto(target)) def activate_block(self, block: BasicBlock) -> None: """Add a basic block and make it the active one (target of adds).""" if self.blocks: assert self.blocks[-1].terminated block.error_handler = self.error_handlers[-1] self.blocks.append(block) def goto_and_activate(self, block: BasicBlock) -> None: """Add goto a block and make it the active block.""" self.goto(block) self.activate_block(block) def keep_alive(self, values: list[Value], *, steal: bool = False) -> None: self.add(KeepAlive(values, steal=steal)) def load_mem(self, ptr: Value, value_type: RType, *, borrow: bool = False) -> Value: return self.add(LoadMem(value_type, ptr, borrow=borrow)) def push_error_handler(self, handler: BasicBlock | None) -> None: self.error_handlers.append(handler) def pop_error_handler(self) -> BasicBlock | None: return self.error_handlers.pop() def self(self) -> Register: """Return reference to the 'self' argument. This only works in a method. """ return self.args[0] def flush_keep_alives(self) -> None: if self.keep_alives: self.add(KeepAlive(self.keep_alives.copy())) self.keep_alives = [] def debug_print(self, toprint: str | Value) -> None: if isinstance(toprint, str): toprint = self.load_str(toprint) self.primitive_op(debug_print_op, [toprint], -1) # Type conversions def box(self, src: Value) -> Value: if src.type.is_unboxed: if isinstance(src, Integer) and is_tagged(src.type): return self.add(LoadLiteral(src.value >> 1, rtype=object_rprimitive)) return self.add(Box(src)) else: return src def unbox_or_cast( self, src: Value, target_type: RType, line: int, *, can_borrow: bool = False, unchecked: bool = False, ) -> Value: if target_type.is_unboxed: return self.add(Unbox(src, target_type, line)) else: if can_borrow: self.keep_alives.append(src) return self.add(Cast(src, target_type, line, borrow=can_borrow, unchecked=unchecked)) def coerce( self, src: Value, target_type: RType, line: int, force: bool = False, *, can_borrow: bool = False, ) -> Value: """Generate a coercion/cast from one type to other (only if needed). For example, int -> object boxes the source int; int -> int emits nothing; object -> int unboxes the object. All conversions preserve object value. If force is true, always generate an op (even if it is just an assignment) so that the result will have exactly target_type as the type. Returns the register with the converted value (may be same as src). """ src_type = src.type if src_type.is_unboxed and not target_type.is_unboxed: # Unboxed -> boxed return self.box(src) if (src_type.is_unboxed and target_type.is_unboxed) and not is_runtime_subtype( src_type, target_type ): if ( isinstance(src, Integer) and is_short_int_rprimitive(src_type) and is_fixed_width_rtype(target_type) ): value = src.numeric_value() if not check_native_int_range(target_type, value): self.error(f'Value {value} is out of range for "{target_type}"', line) return Integer(src.value >> 1, target_type) elif is_int_rprimitive(src_type) and is_fixed_width_rtype(target_type): return self.coerce_int_to_fixed_width(src, target_type, line) elif is_fixed_width_rtype(src_type) and is_int_rprimitive(target_type): return self.coerce_fixed_width_to_int(src, line) elif is_short_int_rprimitive(src_type) and is_fixed_width_rtype(target_type): return self.coerce_short_int_to_fixed_width(src, target_type, line) elif ( isinstance(src_type, RPrimitive) and isinstance(target_type, RPrimitive) and src_type.is_native_int and target_type.is_native_int and src_type.size == target_type.size and src_type.is_signed == target_type.is_signed ): # Equivalent types return src elif is_bool_or_bit_rprimitive(src_type) and is_tagged(target_type): shifted = self.int_op( bool_rprimitive, src, Integer(1, bool_rprimitive), IntOp.LEFT_SHIFT ) return self.add(Extend(shifted, target_type, signed=False)) elif is_bool_or_bit_rprimitive(src_type) and is_fixed_width_rtype(target_type): return self.add(Extend(src, target_type, signed=False)) elif isinstance(src, Integer) and is_float_rprimitive(target_type): if is_tagged(src_type): return Float(float(src.value // 2)) return Float(float(src.value)) elif is_tagged(src_type) and is_float_rprimitive(target_type): return self.int_to_float(src, line) elif ( isinstance(src_type, RTuple) and isinstance(target_type, RTuple) and len(src_type.types) == len(target_type.types) ): # Coerce between two tuple types by coercing each item separately values = [] for i in range(len(src_type.types)): v = None if isinstance(src, TupleSet): item = src.items[i] # We can't reuse register values, since they can be modified. if not isinstance(item, Register): v = item if v is None: v = TupleGet(src, i) self.add(v) values.append(v) return self.add( TupleSet( [self.coerce(v, t, line) for v, t in zip(values, target_type.types)], line ) ) # To go between any other unboxed types, we go through a boxed # in-between value, for simplicity. tmp = self.box(src) return self.unbox_or_cast(tmp, target_type, line) if (not src_type.is_unboxed and target_type.is_unboxed) or not is_subtype( src_type, target_type ): return self.unbox_or_cast(src, target_type, line, can_borrow=can_borrow) elif force: tmp = Register(target_type) self.add(Assign(tmp, src)) return tmp return src def coerce_int_to_fixed_width(self, src: Value, target_type: RType, line: int) -> Value: assert is_fixed_width_rtype(target_type), target_type assert isinstance(target_type, RPrimitive), target_type res = Register(target_type) fast, slow, end = BasicBlock(), BasicBlock(), BasicBlock() check = self.check_tagged_short_int(src, line) self.add(Branch(check, fast, slow, Branch.BOOL)) self.activate_block(fast) size = target_type.size if size < int_rprimitive.size: # Add a range check when the target type is smaller than the source type fast2, fast3 = BasicBlock(), BasicBlock() upper_bound = 1 << (size * 8 - 1) if not target_type.is_signed: upper_bound *= 2 check2 = self.add(ComparisonOp(src, Integer(upper_bound, src.type), ComparisonOp.SLT)) self.add(Branch(check2, fast2, slow, Branch.BOOL)) self.activate_block(fast2) if target_type.is_signed: lower_bound = -upper_bound else: lower_bound = 0 check3 = self.add(ComparisonOp(src, Integer(lower_bound, src.type), ComparisonOp.SGE)) self.add(Branch(check3, fast3, slow, Branch.BOOL)) self.activate_block(fast3) tmp = self.int_op( c_pyssize_t_rprimitive, src, Integer(1, c_pyssize_t_rprimitive), IntOp.RIGHT_SHIFT, line, ) tmp = self.add(Truncate(tmp, target_type)) else: if size > int_rprimitive.size: tmp = self.add(Extend(src, target_type, signed=True)) else: tmp = src tmp = self.int_op(target_type, tmp, Integer(1, target_type), IntOp.RIGHT_SHIFT, line) self.add(Assign(res, tmp)) self.goto(end) self.activate_block(slow) if is_int64_rprimitive(target_type) or ( is_int32_rprimitive(target_type) and size == int_rprimitive.size ): # Slow path calls a library function that handles more complex logic ptr = self.int_op( pointer_rprimitive, src, Integer(1, pointer_rprimitive), IntOp.XOR, line ) ptr2 = Register(c_pointer_rprimitive) self.add(Assign(ptr2, ptr)) if is_int64_rprimitive(target_type): conv_op = int_to_int64_op else: conv_op = int_to_int32_op tmp = self.call_c(conv_op, [ptr2], line) self.add(Assign(res, tmp)) self.add(KeepAlive([src])) self.goto(end) elif is_int32_rprimitive(target_type): # Slow path just always generates an OverflowError self.call_c(int32_overflow, [], line) self.add(Unreachable()) elif is_int16_rprimitive(target_type): # Slow path just always generates an OverflowError self.call_c(int16_overflow, [], line) self.add(Unreachable()) elif is_uint8_rprimitive(target_type): # Slow path just always generates an OverflowError self.call_c(uint8_overflow, [], line) self.add(Unreachable()) else: assert False, target_type self.activate_block(end) return res def coerce_short_int_to_fixed_width(self, src: Value, target_type: RType, line: int) -> Value: if is_int64_rprimitive(target_type) or ( PLATFORM_SIZE == 4 and is_int32_rprimitive(target_type) ): return self.int_op(target_type, src, Integer(1, target_type), IntOp.RIGHT_SHIFT, line) # TODO: i32 on 64-bit platform assert False, (src.type, target_type, PLATFORM_SIZE) def coerce_fixed_width_to_int(self, src: Value, line: int) -> Value: if ( (is_int32_rprimitive(src.type) and PLATFORM_SIZE == 8) or is_int16_rprimitive(src.type) or is_uint8_rprimitive(src.type) ): # Simple case -- just sign extend and shift. extended = self.add(Extend(src, c_pyssize_t_rprimitive, signed=src.type.is_signed)) return self.int_op( int_rprimitive, extended, Integer(1, c_pyssize_t_rprimitive), IntOp.LEFT_SHIFT, line, ) src_type = src.type assert is_fixed_width_rtype(src_type), src_type assert isinstance(src_type, RPrimitive), src_type res = Register(int_rprimitive) fast, fast2, slow, end = BasicBlock(), BasicBlock(), BasicBlock(), BasicBlock() c1 = self.add(ComparisonOp(src, Integer(MAX_SHORT_INT, src_type), ComparisonOp.SLE)) self.add(Branch(c1, fast, slow, Branch.BOOL)) self.activate_block(fast) c2 = self.add(ComparisonOp(src, Integer(MIN_SHORT_INT, src_type), ComparisonOp.SGE)) self.add(Branch(c2, fast2, slow, Branch.BOOL)) self.activate_block(slow) if is_int64_rprimitive(src_type): conv_op = int64_to_int_op elif is_int32_rprimitive(src_type): assert PLATFORM_SIZE == 4 conv_op = ssize_t_to_int_op else: assert False, src_type x = self.call_c(conv_op, [src], line) self.add(Assign(res, x)) self.goto(end) self.activate_block(fast2) if int_rprimitive.size < src_type.size: tmp = self.add(Truncate(src, c_pyssize_t_rprimitive)) else: tmp = src s = self.int_op(int_rprimitive, tmp, Integer(1, tmp.type), IntOp.LEFT_SHIFT, line) self.add(Assign(res, s)) self.goto(end) self.activate_block(end) return res def coerce_nullable(self, src: Value, target_type: RType, line: int) -> Value: """Generate a coercion from a potentially null value.""" if src.type.is_unboxed == target_type.is_unboxed and ( (target_type.is_unboxed and is_runtime_subtype(src.type, target_type)) or (not target_type.is_unboxed and is_subtype(src.type, target_type)) ): return src target = Register(target_type) valid, invalid, out = BasicBlock(), BasicBlock(), BasicBlock() self.add(Branch(src, invalid, valid, Branch.IS_ERROR)) self.activate_block(valid) coerced = self.coerce(src, target_type, line) self.add(Assign(target, coerced, line)) self.goto(out) self.activate_block(invalid) error = self.add(LoadErrorValue(target_type)) self.add(Assign(target, error, line)) self.goto_and_activate(out) return target # Attribute access def get_attr( self, obj: Value, attr: str, result_type: RType, line: int, *, borrow: bool = False ) -> Value: """Get a native or Python attribute of an object.""" if ( isinstance(obj.type, RInstance) and obj.type.class_ir.is_ext_class and obj.type.class_ir.has_attr(attr) ): op = GetAttr(obj, attr, line, borrow=borrow) # For non-refcounted attribute types, the borrow might be # disabled even if requested, so don't check 'borrow'. if op.is_borrowed: self.keep_alives.append(obj) return self.add(op) elif isinstance(obj.type, RUnion): return self.union_get_attr(obj, obj.type, attr, result_type, line) else: return self.py_get_attr(obj, attr, line) def union_get_attr( self, obj: Value, rtype: RUnion, attr: str, result_type: RType, line: int ) -> Value: """Get an attribute of an object with a union type.""" def get_item_attr(value: Value) -> Value: return self.get_attr(value, attr, result_type, line) return self.decompose_union_helper(obj, rtype, result_type, get_item_attr, line) def py_get_attr(self, obj: Value, attr: str, line: int) -> Value: """Get a Python attribute (slow). Prefer get_attr() which generates optimized code for native classes. """ key = self.load_str(attr) return self.primitive_op(py_getattr_op, [obj, key], line) # isinstance() checks def isinstance_helper(self, obj: Value, class_irs: list[ClassIR], line: int) -> Value: """Fast path for isinstance() that checks against a list of native classes.""" if not class_irs: return self.false() ret = self.isinstance_native(obj, class_irs[0], line) for class_ir in class_irs[1:]: def other() -> Value: return self.isinstance_native(obj, class_ir, line) ret = self.shortcircuit_helper("or", bool_rprimitive, lambda: ret, other, line) return ret def get_type_of_obj(self, obj: Value, line: int) -> Value: ob_type_address = self.add(GetElementPtr(obj, PyObject, "ob_type", line)) ob_type = self.load_mem(ob_type_address, object_rprimitive, borrow=True) self.add(KeepAlive([obj])) return ob_type def type_is_op(self, obj: Value, type_obj: Value, line: int) -> Value: typ = self.get_type_of_obj(obj, line) return self.add(ComparisonOp(typ, type_obj, ComparisonOp.EQ, line)) def isinstance_native(self, obj: Value, class_ir: ClassIR, line: int) -> Value: """Fast isinstance() check for a native class. If there are three or fewer concrete (non-trait) classes among the class and all its children, use even faster type comparison checks `type(obj) is typ`. """ concrete = all_concrete_classes(class_ir) if concrete is None or len(concrete) > FAST_ISINSTANCE_MAX_SUBCLASSES + 1: return self.primitive_op( fast_isinstance_op, [obj, self.get_native_type(class_ir)], line ) if not concrete: # There can't be any concrete instance that matches this. return self.false() type_obj = self.get_native_type(concrete[0]) ret = self.type_is_op(obj, type_obj, line) for c in concrete[1:]: def other() -> Value: return self.type_is_op(obj, self.get_native_type(c), line) ret = self.shortcircuit_helper("or", bool_rprimitive, lambda: ret, other, line) return ret # Calls def _construct_varargs( self, args: Sequence[tuple[Value, ArgKind, str | None]], line: int, *, has_star: bool, has_star2: bool, ) -> tuple[Value | None, Value | None]: """Construct *args and **kwargs from a collection of arguments This is pretty complicated, and almost all of the complication here stems from one of two things (but mostly the second): * The handling of ARG_STAR/ARG_STAR2. We want to create as much of the args/kwargs values in one go as we can, so we collect values until our hand is forced, and then we emit creation of the list/tuple, and expand it from there if needed. * Support potentially nullable argument values. This has very narrow applicability, as this will never be done by our compiled Python code, but is critically used by gen_glue_method when generating glue methods to mediate between the function signature of a parent class and its subclasses. For named-only arguments, this is quite simple: if it is null, don't put it in the dict. For positional-or-named arguments, things are much more complicated. * First, anything that was passed as a positional arg must be forwarded along as a positional arg. It *must not* be converted to a named arg. This is because mypy does not enforce that positional-or-named arguments have the same name in subclasses, and it is not uncommon for code to have different names in subclasses (a bunch of mypy's visitors do this, for example!). This is arguably a bug in both mypy and code doing this, and they ought to be using positional-only arguments, but positional-only arguments are new and ugly. * On the flip side, we're willing to accept the infelicity of sometimes turning an argument that was passed by keyword into a positional argument. It's wrong, but it's very marginal, and avoiding it would require passing a bitmask of which arguments were named with every function call, or something similar. (See some discussion of this in testComplicatedArgs) Thus, our strategy for positional-or-named arguments is to always pass them as positional, except in the one situation where we can not, and where we can be absolutely sure they were passed by name: when an *earlier* positional argument was missing its value. This means that if we have a method `f(self, x: int=..., y: object=...)`: * x and y present: args=(x, y), kwargs={} * x present, y missing: args=(x,), kwargs={} * x missing, y present: args=(), kwargs={'y': y} To implement this, when we have multiple optional positional arguments, we maintain a flag in a register that tracks whether an argument has been missing, and for each such optional argument (except the first), we check the flag to determine whether to append the argument to the *args list or add it to the **kwargs dict. What a mess! This is what really makes everything here such a tangle; otherwise the *args and **kwargs code could be separated. The arguments has_star and has_star2 indicate whether the target function takes an ARG_STAR and ARG_STAR2 argument, respectively. (These will always be true when making a pycall, and be based on the actual target signature for a native call.) """ star_result: Value | None = None star2_result: Value | None = None # We aggregate values that need to go into *args and **kwargs # in these lists. Once all arguments are processed (in the # happiest case), or we encounter an ARG_STAR/ARG_STAR2 or a # nullable arg, then we create the list and/or dict. star_values: list[Value] = [] star2_keys: list[Value] = [] star2_values: list[Value] = [] seen_empty_reg: Register | None = None for value, kind, name in args: if kind == ARG_STAR: if star_result is None: # star args fastpath if len(args) == 1: # fn(*args) if is_list_rprimitive(value.type): value = self.primitive_op(list_tuple_op, [value], line) elif not is_tuple_rprimitive(value.type) and not isinstance( value.type, RTuple ): value = self.primitive_op(sequence_tuple_op, [value], line) return value, None elif len(args) == 2 and args[1][1] == ARG_STAR2: # fn(*args, **kwargs) # TODO: extend to cover(*args, **k, **w, **a, **r, **g, **s) if is_tuple_rprimitive(value.type) or isinstance(value.type, RTuple): star_result = value elif is_list_rprimitive(value.type): star_result = self.primitive_op(list_tuple_op, [value], line) else: star_result = self.primitive_op(sequence_tuple_op, [value], line) star2_arg = args[1] star2_value = star2_arg[0] if is_dict_rprimitive(star2_value.type): star2_fastpath_op = dict_copy_op else: star2_fastpath_op = dict_copy return star_result, self.primitive_op( star2_fastpath_op, [star2_value], line ) # elif ...: TODO extend this to optimize fn(*args, k=1, **kwargs) case # TODO optimize this case using the length utils - currently in review star_result = self.new_list_op(star_values, line) self.primitive_op(list_extend_op, [star_result, value], line) elif kind == ARG_STAR2: if star2_result is None: if len(args) == 1: # early exit with fastpath if the only arg is ARG_STAR2 # TODO: can we maintain an empty tuple in memory and just reuse it again and again? if is_dict_rprimitive(value.type): star2_fastpath_op = dict_copy_op else: star2_fastpath_op = dict_copy return self.new_tuple([], line), self.primitive_op( star2_fastpath_op, [value], line ) star2_result = self._create_dict(star2_keys, star2_values, line) self.call_c(dict_update_in_display_op, [star2_result, value], line=line) else: nullable = kind.is_optional() maybe_pos = kind.is_positional() and has_star maybe_named = kind.is_named() or (kind.is_optional() and name and has_star2) # If the argument is nullable, we need to create the # relevant args/kwargs objects so that we can # conditionally modify them. if nullable: if maybe_pos and star_result is None: star_result = self.new_list_op(star_values, line) if maybe_named and star2_result is None: star2_result = self._create_dict(star2_keys, star2_values, line) # Easy cases: just collect the argument. if maybe_pos and star_result is None: star_values.append(value) continue if maybe_named and star2_result is None: assert name is not None key = self.load_str(name) star2_keys.append(key) star2_values.append(value) continue # OK, anything that is nullable or *after* a nullable arg needs to be here # TODO: We could try harder to avoid creating basic blocks in the common case new_seen_empty_reg = seen_empty_reg out = BasicBlock() if nullable: # If this is the first nullable positional arg we've seen, create # a register to track whether anything has been null. # (We won't *check* the register until the next argument, though.) if maybe_pos and not seen_empty_reg: new_seen_empty_reg = Register(bool_rprimitive) self.add(Assign(new_seen_empty_reg, self.false(), line)) skip = BasicBlock() if maybe_pos else out keep = BasicBlock() self.add(Branch(value, skip, keep, Branch.IS_ERROR)) self.activate_block(keep) # If this could be positional or named and we /might/ have seen a missing # positional arg, then we need to compile *both* a positional and named # version! What a pain! if maybe_pos and maybe_named and seen_empty_reg: pos_block, named_block = BasicBlock(), BasicBlock() self.add(Branch(seen_empty_reg, named_block, pos_block, Branch.BOOL)) else: pos_block = named_block = BasicBlock() self.goto(pos_block) if maybe_pos: self.activate_block(pos_block) assert star_result self.translate_special_method_call( star_result, "append", [value], result_type=None, line=line ) self.goto(out) if maybe_named and (not maybe_pos or seen_empty_reg): self.activate_block(named_block) assert name is not None key = self.load_str(name) assert star2_result self.translate_special_method_call( star2_result, "__setitem__", [key, value], result_type=None, line=line ) self.goto(out) if nullable and maybe_pos and new_seen_empty_reg: assert skip is not out self.activate_block(skip) self.add(Assign(new_seen_empty_reg, self.true(), line)) self.goto(out) self.activate_block(out) seen_empty_reg = new_seen_empty_reg assert not (star_result or star_values) or has_star assert not (star2_result or star2_values) or has_star2 if has_star: # If we managed to make it this far without creating a # *args list, then we can directly create a # tuple. Otherwise create the tuple from the list. if star_result is None: star_result = self.new_tuple(star_values, line) elif not is_tuple_rprimitive(star_result.type): # if star_result is a tuple we took the fast path star_result = self.primitive_op(list_tuple_op, [star_result], line) if has_star2 and star2_result is None and len(star2_keys) > 0: # TODO: use dict_copy_op for simple cases of **kwargs star2_result = self._create_dict(star2_keys, star2_values, line) return star_result, star2_result def py_call( self, function: Value, arg_values: list[Value], line: int, arg_kinds: list[ArgKind] | None = None, arg_names: Sequence[str | None] | None = None, ) -> Value: """Call a Python function (non-native and slow). Use py_call_op or py_call_with_kwargs_op for Python function call. """ result = self._py_vector_call(function, arg_values, line, arg_kinds, arg_names) if result is not None: return result # If all arguments are positional, we can use py_call_op. if arg_kinds is None or all(kind == ARG_POS for kind in arg_kinds): return self.call_c(py_call_op, [function] + arg_values, line) # Otherwise fallback to py_call_with_posargs_op or py_call_with_kwargs_op. assert arg_names is not None pos_args_tuple, kw_args_dict = self._construct_varargs( list(zip(arg_values, arg_kinds, arg_names)), line, has_star=True, has_star2=True ) assert pos_args_tuple if kw_args_dict is None: return self.call_c(py_call_with_posargs_op, [function, pos_args_tuple], line) return self.call_c(py_call_with_kwargs_op, [function, pos_args_tuple, kw_args_dict], line) def _py_vector_call( self, function: Value, arg_values: list[Value], line: int, arg_kinds: list[ArgKind] | None = None, arg_names: Sequence[str | None] | None = None, ) -> Value | None: """Call function using the vectorcall API if possible. Return the return value if successful. Return None if a non-vectorcall API should be used instead. """ # We can do this if all args are positional or named (no *args or **kwargs, not optional). if arg_kinds is None or all( not kind.is_star() and not kind.is_optional() for kind in arg_kinds ): if arg_values: # Create a C array containing all arguments as boxed values. coerced_args = [self.coerce(arg, object_rprimitive, line) for arg in arg_values] arg_ptr = self.setup_rarray(object_rprimitive, coerced_args, object_ptr=True) else: arg_ptr = Integer(0, object_pointer_rprimitive) num_pos = num_positional_args(arg_values, arg_kinds) keywords = self._vectorcall_keywords(arg_names) value = self.call_c( py_vectorcall_op, [function, arg_ptr, Integer(num_pos, c_size_t_rprimitive), keywords], line, ) if arg_values: # Make sure arguments won't be freed until after the call. # We need this because RArray doesn't support automatic # memory management. self.add(KeepAlive(coerced_args)) return value return None def _vectorcall_keywords(self, arg_names: Sequence[str | None] | None) -> Value: """Return a reference to a tuple literal with keyword argument names. Return null pointer if there are no keyword arguments. """ if arg_names: kw_list = [name for name in arg_names if name is not None] if kw_list: return self.add(LoadLiteral(tuple(kw_list), object_rprimitive)) return Integer(0, object_rprimitive) def py_method_call( self, obj: Value, method_name: str, arg_values: list[Value], line: int, arg_kinds: list[ArgKind] | None, arg_names: Sequence[str | None] | None, ) -> Value: """Call a Python method (non-native and slow).""" result = self._py_vector_method_call( obj, method_name, arg_values, line, arg_kinds, arg_names ) if result is not None: return result if arg_kinds is None or all(kind == ARG_POS for kind in arg_kinds): # Use legacy method call API method_name_reg = self.load_str(method_name) return self.call_c(py_method_call_op, [obj, method_name_reg] + arg_values, line) else: # Use py_call since it supports keyword arguments (and vectorcalls). method = self.py_get_attr(obj, method_name, line) return self.py_call(method, arg_values, line, arg_kinds=arg_kinds, arg_names=arg_names) def _py_vector_method_call( self, obj: Value, method_name: str, arg_values: list[Value], line: int, arg_kinds: list[ArgKind] | None, arg_names: Sequence[str | None] | None, ) -> Value | None: """Call method using the vectorcall API if possible. Return the return value if successful. Return None if a non-vectorcall API should be used instead. """ if arg_kinds is None or all( not kind.is_star() and not kind.is_optional() for kind in arg_kinds ): method_name_reg = self.load_str(method_name) coerced_args = [ self.coerce(arg, object_rprimitive, line) for arg in [obj] + arg_values ] arg_ptr = self.setup_rarray(object_rprimitive, coerced_args, object_ptr=True) num_pos = num_positional_args(arg_values, arg_kinds) keywords = self._vectorcall_keywords(arg_names) value = self.call_c( py_vectorcall_method_op, [ method_name_reg, arg_ptr, Integer((num_pos + 1) | PY_VECTORCALL_ARGUMENTS_OFFSET, c_size_t_rprimitive), keywords, ], line, ) # Make sure arguments won't be freed until after the call. # We need this because RArray doesn't support automatic # memory management. self.add(KeepAlive(coerced_args)) return value return None def call( self, decl: FuncDecl, args: Sequence[Value], arg_kinds: list[ArgKind], arg_names: Sequence[str | None], line: int, *, bitmap_args: list[Register] | None = None, ) -> Value: """Call a native function. If bitmap_args is given, they override the values of (some) of the bitmap arguments used to track the presence of values for certain arguments. By default, the values of the bitmap arguments are inferred from args. """ # Normalize args to positionals. args = self.native_args_to_positional( args, arg_kinds, arg_names, decl.sig, line, bitmap_args=bitmap_args ) return self.add(Call(decl, args, line)) def native_args_to_positional( self, args: Sequence[Value], arg_kinds: list[ArgKind], arg_names: Sequence[str | None], sig: FuncSignature, line: int, *, bitmap_args: list[Register] | None = None, ) -> list[Value]: """Prepare arguments for a native call. Given args/kinds/names and a target signature for a native call, map keyword arguments to their appropriate place in the argument list, fill in error values for unspecified default arguments, package arguments that will go into *args/**kwargs into a tuple/dict, and coerce arguments to the appropriate type. """ sig_args = sig.args n = sig.num_bitmap_args if n: sig_args = sig_args[:-n] sig_arg_kinds = [arg.kind for arg in sig_args] sig_arg_names = [arg.name for arg in sig_args] concrete_kinds = [concrete_arg_kind(arg_kind) for arg_kind in arg_kinds] formal_to_actual = map_actuals_to_formals( concrete_kinds, arg_names, sig_arg_kinds, sig_arg_names, lambda n: AnyType(TypeOfAny.special_form), ) # First scan for */** and construct those has_star = has_star2 = False star_arg_entries = [] for lst, arg in zip(formal_to_actual, sig_args): if arg.kind.is_star(): star_arg_entries.extend([(args[i], arg_kinds[i], arg_names[i]) for i in lst]) has_star = has_star or arg.kind == ARG_STAR has_star2 = has_star2 or arg.kind == ARG_STAR2 star_arg, star2_arg = self._construct_varargs( star_arg_entries, line, has_star=has_star, has_star2=has_star2 ) # Flatten out the arguments, loading error values for default # arguments, constructing tuples/dicts for star args, and # coercing everything to the expected type. output_args: list[Value] = [] for lst, arg in zip(formal_to_actual, sig_args): if arg.kind == ARG_STAR: assert star_arg output_arg = star_arg elif arg.kind == ARG_STAR2: output_arg = star2_arg or self._create_dict([], [], line) elif not lst: if is_fixed_width_rtype(arg.type): output_arg = Integer(0, arg.type) elif is_float_rprimitive(arg.type): output_arg = Float(0.0) else: output_arg = self.add(LoadErrorValue(arg.type, is_borrowed=True)) else: base_arg = args[lst[0]] if arg_kinds[lst[0]].is_optional(): output_arg = self.coerce_nullable(base_arg, arg.type, line) else: output_arg = self.coerce(base_arg, arg.type, line) output_args.append(output_arg) for i in reversed(range(n)): if bitmap_args and i < len(bitmap_args): # Use override provided by caller output_args.append(bitmap_args[i]) continue # Infer values of bitmap args bitmap = 0 c = 0 for lst, arg in zip(formal_to_actual, sig_args): if arg.kind.is_optional() and arg.type.error_overlap: if i * BITMAP_BITS <= c < (i + 1) * BITMAP_BITS: if lst: bitmap |= 1 << (c & (BITMAP_BITS - 1)) c += 1 output_args.append(Integer(bitmap, bitmap_rprimitive)) return output_args def gen_method_call( self, base: Value, name: str, arg_values: list[Value], result_type: RType | None, line: int, arg_kinds: list[ArgKind] | None = None, arg_names: list[str | None] | None = None, can_borrow: bool = False, ) -> Value: """Generate either a native or Python method call.""" # If we have *args, then fallback to Python method call. if arg_kinds is not None and any(kind.is_star() for kind in arg_kinds): return self.py_method_call(base, name, arg_values, line, arg_kinds, arg_names) # If the base type is one of ours, do a MethodCall fast_name = FAST_PREFIX + name if ( isinstance(base.type, RInstance) and (base.type.class_ir.is_ext_class or base.type.class_ir.has_method(fast_name)) and not base.type.class_ir.builtin_base ): name = name if base.type.class_ir.is_ext_class else fast_name if base.type.class_ir.has_method(name): decl = base.type.class_ir.method_decl(name) if arg_kinds is None: assert arg_names is None, "arg_kinds not present but arg_names is" arg_kinds = [ARG_POS for _ in arg_values] arg_names = [None for _ in arg_values] else: assert arg_names is not None, "arg_kinds present but arg_names is not" # Normalize args to positionals. assert decl.bound_sig arg_values = self.native_args_to_positional( arg_values, arg_kinds, arg_names, decl.bound_sig, line ) return self.add(MethodCall(base, name, arg_values, line)) elif base.type.class_ir.has_attr(name): function = self.add(GetAttr(base, name, line)) return self.py_call( function, arg_values, line, arg_kinds=arg_kinds, arg_names=arg_names ) elif isinstance(base.type, RUnion): return self.union_method_call( base, base.type, name, arg_values, result_type, line, arg_kinds, arg_names ) # Try to do a special-cased method call if not arg_kinds or arg_kinds == [ARG_POS] * len(arg_values): target = self.translate_special_method_call( base, name, arg_values, result_type, line, can_borrow=can_borrow ) if target: return target # Fall back to Python method call return self.py_method_call(base, name, arg_values, line, arg_kinds, arg_names) def union_method_call( self, base: Value, obj_type: RUnion, name: str, arg_values: list[Value], return_rtype: RType | None, line: int, arg_kinds: list[ArgKind] | None, arg_names: list[str | None] | None, ) -> Value: """Generate a method call with a union type for the object.""" # Union method call needs a return_rtype for the type of the output register. # If we don't have one, use object_rprimitive. return_rtype = return_rtype or object_rprimitive def call_union_item(value: Value) -> Value: return self.gen_method_call( value, name, arg_values, return_rtype, line, arg_kinds, arg_names ) return self.decompose_union_helper(base, obj_type, return_rtype, call_union_item, line) # Loading various values def none(self) -> Value: """Load unboxed None value (type: none_rprimitive).""" return Integer(1, none_rprimitive) def true(self) -> Value: """Load unboxed True value (type: bool_rprimitive).""" return Integer(1, bool_rprimitive) def false(self) -> Value: """Load unboxed False value (type: bool_rprimitive).""" return Integer(0, bool_rprimitive) def none_object(self) -> Value: """Load Python None value (type: object_rprimitive).""" return self.add(LoadAddress(none_object_op.type, none_object_op.src, line=-1)) def true_object(self) -> Value: """Load Python True object (type: object_rprimitive).""" return self.add(LoadGlobal(object_rprimitive, "Py_True")) def false_object(self) -> Value: """Load Python False object (type: object_rprimitive).""" return self.add(LoadGlobal(object_rprimitive, "Py_False")) def load_int(self, value: int) -> Value: """Load a tagged (Python) integer literal value.""" if value > MAX_LITERAL_SHORT_INT or value < MIN_LITERAL_SHORT_INT: return self.add(LoadLiteral(value, int_rprimitive)) else: return Integer(value) def load_float(self, value: float) -> Value: """Load a float literal value.""" return Float(value) def load_str(self, value: str) -> Value: """Load a str literal value. This is useful for more than just str literals; for example, method calls also require a PyObject * form for the name of the method. """ return self.add(LoadLiteral(value, str_rprimitive)) def load_bytes(self, value: bytes) -> Value: """Load a bytes literal value.""" return self.add(LoadLiteral(value, bytes_rprimitive)) def load_complex(self, value: complex) -> Value: """Load a complex literal value.""" return self.add(LoadLiteral(value, object_rprimitive)) def load_static_checked( self, typ: RType, identifier: str, module_name: str | None = None, namespace: str = NAMESPACE_STATIC, line: int = -1, error_msg: str | None = None, ) -> Value: if error_msg is None: error_msg = f'name "{identifier}" is not defined' ok_block, error_block = BasicBlock(), BasicBlock() value = self.add(LoadStatic(typ, identifier, module_name, namespace, line=line)) self.add(Branch(value, error_block, ok_block, Branch.IS_ERROR, rare=True)) self.activate_block(error_block) self.add(RaiseStandardError(RaiseStandardError.NAME_ERROR, error_msg, line)) self.add(Unreachable()) self.activate_block(ok_block) return value def load_module(self, name: str) -> Value: return self.add(LoadStatic(object_rprimitive, name, namespace=NAMESPACE_MODULE)) def get_native_type(self, cls: ClassIR) -> Value: """Load native type object.""" fullname = f"{cls.module_name}.{cls.name}" return self.load_native_type_object(fullname) def load_native_type_object(self, fullname: str) -> Value: module, name = fullname.rsplit(".", 1) return self.add(LoadStatic(object_rprimitive, name, module, NAMESPACE_TYPE)) # Other primitive operations def binary_op(self, lreg: Value, rreg: Value, op: str, line: int) -> Value: """Perform a binary operation. Generate specialized operations based on operand types, with a fallback to generic operations. """ ltype = lreg.type rtype = rreg.type # Special case tuple comparison here so that nested tuples can be supported if isinstance(ltype, RTuple) and isinstance(rtype, RTuple) and op in ("==", "!="): return self.compare_tuples(lreg, rreg, op, line) # Special case == and != when we can resolve the method call statically if op in ("==", "!="): value = self.translate_eq_cmp(lreg, rreg, op, line) if value is not None: return value # Special case various ops if op in ("is", "is not"): return self.translate_is_op(lreg, rreg, op, line) if ( is_bool_or_bit_rprimitive(ltype) and is_bool_or_bit_rprimitive(rtype) and op in BOOL_BINARY_OPS ): if op in ComparisonOp.signed_ops: return self.bool_comparison_op(lreg, rreg, op, line) else: return self.bool_bitwise_op(lreg, rreg, op[0], line) if isinstance(rtype, RInstance) and op in ("in", "not in"): return self.translate_instance_contains(rreg, lreg, op, line) if is_fixed_width_rtype(ltype): if op in FIXED_WIDTH_INT_BINARY_OPS: op = op.removesuffix("=") if op != "//": op_id = int_op_to_id[op] else: op_id = IntOp.DIV if is_bool_or_bit_rprimitive(rtype): rreg = self.coerce(rreg, ltype, line) rtype = ltype if is_fixed_width_rtype(rtype) or is_tagged(rtype): return self.fixed_width_int_op(ltype, lreg, rreg, op_id, line) if isinstance(rreg, Integer): return self.fixed_width_int_op( ltype, lreg, self.coerce(rreg, ltype, line), op_id, line ) elif op in ComparisonOp.signed_ops: if is_int_rprimitive(rtype): rreg = self.coerce_int_to_fixed_width(rreg, ltype, line) elif is_bool_or_bit_rprimitive(rtype): rreg = self.coerce(rreg, ltype, line) op_id = ComparisonOp.signed_ops[op] if is_fixed_width_rtype(rreg.type): return self.comparison_op(lreg, rreg, op_id, line) if isinstance(rreg, Integer): return self.comparison_op(lreg, self.coerce(rreg, ltype, line), op_id, line) elif is_fixed_width_rtype(rtype): if op in FIXED_WIDTH_INT_BINARY_OPS: op = op.removesuffix("=") if op != "//": op_id = int_op_to_id[op] else: op_id = IntOp.DIV if isinstance(lreg, Integer): return self.fixed_width_int_op( rtype, self.coerce(lreg, rtype, line), rreg, op_id, line ) if is_tagged(ltype): return self.fixed_width_int_op(rtype, lreg, rreg, op_id, line) if is_bool_or_bit_rprimitive(ltype): lreg = self.coerce(lreg, rtype, line) return self.fixed_width_int_op(rtype, lreg, rreg, op_id, line) elif op in ComparisonOp.signed_ops: if is_int_rprimitive(ltype): lreg = self.coerce_int_to_fixed_width(lreg, rtype, line) elif is_bool_or_bit_rprimitive(ltype): lreg = self.coerce(lreg, rtype, line) op_id = ComparisonOp.signed_ops[op] if isinstance(lreg, Integer): return self.comparison_op(self.coerce(lreg, rtype, line), rreg, op_id, line) if is_fixed_width_rtype(lreg.type): return self.comparison_op(lreg, rreg, op_id, line) if is_float_rprimitive(ltype) or is_float_rprimitive(rtype): if isinstance(lreg, Integer): lreg = Float(float(lreg.numeric_value())) elif isinstance(rreg, Integer): rreg = Float(float(rreg.numeric_value())) elif is_int_rprimitive(lreg.type): lreg = self.int_to_float(lreg, line) elif is_int_rprimitive(rreg.type): rreg = self.int_to_float(rreg, line) if is_float_rprimitive(lreg.type) and is_float_rprimitive(rreg.type): if op in float_comparison_op_to_id: return self.compare_floats(lreg, rreg, float_comparison_op_to_id[op], line) if op.endswith("="): base_op = op[:-1] else: base_op = op if base_op in float_op_to_id: return self.float_op(lreg, rreg, base_op, line) dunder_op = self.dunder_op(lreg, rreg, op, line) if dunder_op: return dunder_op primitive_ops_candidates = binary_ops.get(op, []) target = self.matching_primitive_op(primitive_ops_candidates, [lreg, rreg], line) assert target, "Unsupported binary operation: %s" % op return target def dunder_op(self, lreg: Value, rreg: Value | None, op: str, line: int) -> Value | None: """ Dispatch a dunder method if applicable. For example for `a + b` it will use `a.__add__(b)` which can lead to higher performance due to the fact that the method could be already compiled and optimized instead of going all the way through `PyNumber_Add(a, b)` python api (making a jump into the python DL). """ ltype = lreg.type if not isinstance(ltype, RInstance): return None method_name = op_methods.get(op) if rreg else unary_op_methods.get(op) if method_name is None: return None if not ltype.class_ir.has_method(method_name): return None decl = ltype.class_ir.method_decl(method_name) if not rreg and len(decl.sig.args) != 1: return None if rreg and (len(decl.sig.args) != 2 or not is_subtype(rreg.type, decl.sig.args[1].type)): return None if rreg and is_subtype(not_implemented_op.type, decl.sig.ret_type): # If the method is able to return NotImplemented, we should not optimize it. # We can just let go so it will be handled through the python api. return None args = [rreg] if rreg else [] return self.gen_method_call(lreg, method_name, args, decl.sig.ret_type, line) def check_tagged_short_int(self, val: Value, line: int, negated: bool = False) -> Value: """Check if a tagged integer is a short integer. Return the result of the check (value of type 'bit'). """ int_tag = Integer(1, c_pyssize_t_rprimitive, line) bitwise_and = self.int_op(c_pyssize_t_rprimitive, val, int_tag, IntOp.AND, line) zero = Integer(0, c_pyssize_t_rprimitive, line) op = ComparisonOp.NEQ if negated else ComparisonOp.EQ check = self.comparison_op(bitwise_and, zero, op, line) return check def compare_strings(self, lhs: Value, rhs: Value, op: str, line: int) -> Value: """Compare two strings""" if op == "==": # We can specialize this case if one or both values are string literals literal_fastpath = False def is_string_literal(value: Value) -> TypeGuard[LoadLiteral]: return isinstance(value, LoadLiteral) and is_str_rprimitive(value.type) if is_string_literal(lhs): if is_string_literal(rhs): # we can optimize out the check entirely in some constant-folded cases return self.true() if lhs.value == rhs.value else self.false() # if lhs argument is string literal, switch sides to match specializer C api lhs, rhs = rhs, lhs literal_fastpath = True elif is_string_literal(rhs): literal_fastpath = True if literal_fastpath: literal_string = cast(str, cast(LoadLiteral, rhs).value) literal_length = Integer(len(literal_string), c_pyssize_t_rprimitive, line) return self.primitive_op(str_eq_literal, [lhs, rhs, literal_length], line) return self.primitive_op(str_eq, [lhs, rhs], line) elif op == "!=": # perform a standard equality check, then negate eq = self.compare_strings(lhs, rhs, "==", line) return self.add(ComparisonOp(eq, self.false(), ComparisonOp.EQ, line)) # TODO: modify 'str' to use same interface as 'compare_bytes' as it would avoid # call to PyErr_Occurred() below compare_result = self.call_c(unicode_compare, [lhs, rhs], line) error_constant = Integer(-1, c_int_rprimitive, line) compare_error_check = self.add( ComparisonOp(compare_result, error_constant, ComparisonOp.EQ, line) ) exception_check, propagate, final_compare = BasicBlock(), BasicBlock(), BasicBlock() branch = Branch(compare_error_check, exception_check, final_compare, Branch.BOOL) branch.negated = False self.add(branch) self.activate_block(exception_check) check_error_result = self.call_c(err_occurred_op, [], line) null = Integer(0, pointer_rprimitive, line) compare_error_check = self.add( ComparisonOp(check_error_result, null, ComparisonOp.NEQ, line) ) branch = Branch(compare_error_check, propagate, final_compare, Branch.BOOL) branch.negated = False self.add(branch) self.activate_block(propagate) self.call_c(keep_propagating_op, [], line) self.goto(final_compare) self.activate_block(final_compare) op_type = ComparisonOp.EQ if op == "==" else ComparisonOp.NEQ return self.add(ComparisonOp(compare_result, Integer(0, c_int_rprimitive), op_type, line)) def compare_bytes(self, lhs: Value, rhs: Value, op: str, line: int) -> Value: compare_result = self.call_c(bytes_compare, [lhs, rhs], line) op_type = ComparisonOp.EQ if op == "==" else ComparisonOp.NEQ return self.add(ComparisonOp(compare_result, Integer(1, c_int_rprimitive), op_type, line)) def compare_tuples(self, lhs: Value, rhs: Value, op: str, line: int = -1) -> Value: """Compare two tuples item by item""" # type cast to pass mypy check assert isinstance(lhs.type, RTuple) and isinstance(rhs.type, RTuple), (lhs.type, rhs.type) equal = True if op == "==" else False result = Register(bool_rprimitive) # tuples of different lengths if len(lhs.type.types) != len(rhs.type.types): self.add(Assign(result, self.false() if equal else self.true(), line)) return result # empty tuples if len(lhs.type.types) == 0 and len(rhs.type.types) == 0: self.add(Assign(result, self.true() if equal else self.false(), line)) return result length = len(lhs.type.types) false_assign, true_assign, out = BasicBlock(), BasicBlock(), BasicBlock() check_blocks = [BasicBlock() for _ in range(length)] lhs_items = [self.add(TupleGet(lhs, i, line)) for i in range(length)] rhs_items = [self.add(TupleGet(rhs, i, line)) for i in range(length)] if equal: early_stop, final = false_assign, true_assign else: early_stop, final = true_assign, false_assign for i in range(len(lhs.type.types)): if i != 0: self.activate_block(check_blocks[i]) lhs_item = lhs_items[i] rhs_item = rhs_items[i] compare = self.binary_op(lhs_item, rhs_item, op, line) # Cast to bool if necessary since most types uses comparison returning a object type # See generic_ops.py for more information if not is_bool_or_bit_rprimitive(compare.type): compare = self.primitive_op(bool_op, [compare], line) if i < len(lhs.type.types) - 1: branch = Branch(compare, early_stop, check_blocks[i + 1], Branch.BOOL) else: branch = Branch(compare, early_stop, final, Branch.BOOL) # if op is ==, we branch on false, else branch on true branch.negated = equal self.add(branch) self.activate_block(false_assign) self.add(Assign(result, self.false(), line)) self.goto(out) self.activate_block(true_assign) self.add(Assign(result, self.true(), line)) self.goto_and_activate(out) return result def translate_instance_contains(self, inst: Value, item: Value, op: str, line: int) -> Value: res = self.gen_method_call(inst, "__contains__", [item], None, line) if not is_bool_or_bit_rprimitive(res.type): res = self.primitive_op(bool_op, [res], line) if op == "not in": res = self.bool_bitwise_op(res, Integer(1, rtype=bool_rprimitive), "^", line) return res def bool_bitwise_op(self, lreg: Value, rreg: Value, op: str, line: int) -> Value: if op == "&": code = IntOp.AND elif op == "|": code = IntOp.OR elif op == "^": code = IntOp.XOR else: assert False, op return self.add(IntOp(bool_rprimitive, lreg, rreg, code, line)) def bool_comparison_op(self, lreg: Value, rreg: Value, op: str, line: int) -> Value: op_id = ComparisonOp.signed_ops[op] return self.comparison_op(lreg, rreg, op_id, line) def _non_specialized_unary_op(self, value: Value, op: str, line: int) -> Value: if isinstance(value.type, RInstance): result = self.dunder_op(value, None, op, line) if result is not None: return result primitive_ops_candidates = unary_ops.get(op, []) target = self.matching_primitive_op(primitive_ops_candidates, [value], line) assert target, "Unsupported unary operation: %s" % op return target def unary_not(self, value: Value, line: int, *, likely_bool: bool = False) -> Value: """Perform unary 'not'. Args: likely_bool: The operand is likely a bool value, even if the type is something more general, so specialize for bool values """ typ = value.type if is_bool_or_bit_rprimitive(typ): mask = Integer(1, typ, line) return self.int_op(typ, value, mask, IntOp.XOR, line) if is_tagged(typ) or is_fixed_width_rtype(typ): return self.binary_op(value, Integer(0), "==", line) if ( is_str_rprimitive(typ) or is_list_rprimitive(typ) or is_tuple_rprimitive(typ) or is_dict_rprimitive(typ) or isinstance(typ, RInstance) ): bool_val = self.bool_value(value) return self.unary_not(bool_val, line) if is_optional_type(typ): value_typ = optional_value_type(typ) assert value_typ if ( is_str_rprimitive(value_typ) or is_list_rprimitive(value_typ) or is_tuple_rprimitive(value_typ) or is_dict_rprimitive(value_typ) or isinstance(value_typ, RInstance) ): # 'X | None' type: Check for None first and then specialize for X. res = Register(bit_rprimitive) cmp = self.add(ComparisonOp(value, self.none_object(), ComparisonOp.EQ, line)) none, not_none, out = BasicBlock(), BasicBlock(), BasicBlock() self.add(Branch(cmp, none, not_none, Branch.BOOL)) self.activate_block(none) self.add(Assign(res, self.true())) self.goto(out) self.activate_block(not_none) val = self.unary_not( self.unbox_or_cast(value, value_typ, line, can_borrow=True, unchecked=True), line, ) self.add(Assign(res, val)) self.goto(out) self.activate_block(out) return res if likely_bool and is_object_rprimitive(typ): # First quickly check if it's a bool, and otherwise fall back to generic op. res = Register(bit_rprimitive) false, not_false, true, other = BasicBlock(), BasicBlock(), BasicBlock(), BasicBlock() out = BasicBlock() cmp = self.add(ComparisonOp(value, self.true_object(), ComparisonOp.EQ, line)) self.add(Branch(cmp, false, not_false, Branch.BOOL)) self.activate_block(false) self.add(Assign(res, self.false())) self.goto(out) self.activate_block(not_false) cmp = self.add(ComparisonOp(value, self.false_object(), ComparisonOp.EQ, line)) self.add(Branch(cmp, true, other, Branch.BOOL)) self.activate_block(true) self.add(Assign(res, self.true())) self.goto(out) self.activate_block(other) val = self._non_specialized_unary_op(value, "not", line) self.add(Assign(res, val)) self.goto(out) self.activate_block(out) return res return self._non_specialized_unary_op(value, "not", line) def unary_minus(self, value: Value, line: int) -> Value: """Perform unary '-'.""" typ = value.type if isinstance(value, Integer): # TODO: Overflow? Unsigned? return Integer(-value.numeric_value(), typ, line) elif isinstance(value, Float): return Float(-value.value, line) elif is_fixed_width_rtype(typ): # Translate to '0 - x' return self.int_op(typ, Integer(0, typ), value, IntOp.SUB, line) elif is_float_rprimitive(typ): return self.add(FloatNeg(value, line)) return self._non_specialized_unary_op(value, "-", line) def unary_plus(self, value: Value, line: int) -> Value: """Perform unary '+'.""" typ = value.type if ( is_tagged(typ) or is_float_rprimitive(typ) or is_bool_or_bit_rprimitive(typ) or is_fixed_width_rtype(typ) ): return value return self._non_specialized_unary_op(value, "+", line) def unary_invert(self, value: Value, line: int) -> Value: """Perform unary '~'.""" typ = value.type if is_fixed_width_rtype(typ): if typ.is_signed: # Translate to 'x ^ -1' return self.int_op(typ, value, Integer(-1, typ), IntOp.XOR, line) else: # Translate to 'x ^ 0xff...' mask = (1 << (typ.size * 8)) - 1 return self.int_op(typ, value, Integer(mask, typ), IntOp.XOR, line) return self._non_specialized_unary_op(value, "~", line) def unary_op(self, value: Value, op: str, line: int) -> Value: """Perform a unary operation.""" if op == "not": return self.unary_not(value, line) elif op == "-": return self.unary_minus(value, line) elif op == "+": return self.unary_plus(value, line) elif op == "~": return self.unary_invert(value, line) raise RuntimeError("Unsupported unary operation: %s" % op) def make_dict(self, key_value_pairs: Sequence[DictEntry], line: int) -> Value: result: Value | None = None keys: list[Value] = [] values: list[Value] = [] for key, value in key_value_pairs: if key is not None: # key:value if result is None: keys.append(key) values.append(value) continue self.translate_special_method_call( result, "__setitem__", [key, value], result_type=None, line=line ) else: # **value if result is None: result = self._create_dict(keys, values, line) self.call_c(dict_update_in_display_op, [result, value], line=line) if result is None: result = self._create_dict(keys, values, line) return result def new_list_op_with_length(self, length: Value, line: int) -> Value: """This function returns an uninitialized list. If the length is non-zero, the caller must initialize the list, before it can be made visible to user code -- otherwise the list object is broken. You might need further initialization with `new_list_set_item_op` op. Args: length: desired length of the new list. The rtype should be c_pyssize_t_rprimitive line: line number """ return self.call_c(new_list_op, [length], line) def new_list_op(self, values: list[Value], line: int) -> Value: length: list[Value] = [Integer(len(values), c_pyssize_t_rprimitive, line)] if len(values) >= LIST_BUILDING_EXPANSION_THRESHOLD: return self.call_c(list_build_op, length + values, line) # If the length of the list is less than the threshold, # LIST_BUILDING_EXPANSION_THRESHOLD, we directly expand the # for-loop and inline the SetMem operation, which is faster # than list_build_op, however generates more code. result_list = self.call_c(new_list_op, length, line) if not values: return result_list args = [self.coerce(item, object_rprimitive, line) for item in values] ob_item_base = self.add(PrimitiveOp([result_list], list_items, line)) for i in range(len(values)): self.primitive_op( buf_init_item, [ob_item_base, Integer(i, c_pyssize_t_rprimitive), args[i]], line ) self.add(KeepAlive([result_list])) return result_list def new_set_op(self, values: list[Value], line: int) -> Value: return self.primitive_op(new_set_op, values, line) def setup_rarray( self, item_type: RType, values: Sequence[Value], *, object_ptr: bool = False ) -> Value: """Declare and initialize a new RArray, returning its address.""" array = Register(RArray(item_type, len(values))) self.add(AssignMulti(array, list(values))) return self.add( LoadAddress(object_pointer_rprimitive if object_ptr else c_pointer_rprimitive, array) ) def shortcircuit_helper( self, op: str, expr_type: RType, left: Callable[[], Value], right: Callable[[], Value], line: int, ) -> Value: # Having actual Phi nodes would be really nice here! target = Register(expr_type) # left_body takes the value of the left side, right_body the right left_body, right_body, next_block = BasicBlock(), BasicBlock(), BasicBlock() # true_body is taken if the left is true, false_body if it is false. # For 'and' the value is the right side if the left is true, and for 'or' # it is the right side if the left is false. true_body, false_body = (right_body, left_body) if op == "and" else (left_body, right_body) left_value = left() self.add_bool_branch(left_value, true_body, false_body) self.activate_block(left_body) left_coerced = self.coerce(left_value, expr_type, line) self.add(Assign(target, left_coerced)) self.goto(next_block) self.activate_block(right_body) right_value = right() right_coerced = self.coerce(right_value, expr_type, line) self.add(Assign(target, right_coerced)) self.goto(next_block) self.activate_block(next_block) return target def bool_value(self, value: Value) -> Value: """Return bool(value). The result type can be bit_rprimitive or bool_rprimitive. """ if is_bool_or_bit_rprimitive(value.type): result = value elif is_runtime_subtype(value.type, int_rprimitive): zero = Integer(0, short_int_rprimitive) result = self.comparison_op(value, zero, ComparisonOp.NEQ, value.line) elif is_fixed_width_rtype(value.type): zero = Integer(0, value.type) result = self.add(ComparisonOp(value, zero, ComparisonOp.NEQ)) elif is_str_rprimitive(value.type): result = self.call_c(str_check_if_true, [value], value.line) elif ( is_list_rprimitive(value.type) or is_dict_rprimitive(value.type) or is_tuple_rprimitive(value.type) ): length = self.builtin_len(value, value.line) zero = Integer(0) result = self.binary_op(length, zero, "!=", value.line) elif ( isinstance(value.type, RInstance) and value.type.class_ir.is_ext_class and value.type.class_ir.has_method("__bool__") ): # Directly call the __bool__ method on classes that have it. result = self.gen_method_call(value, "__bool__", [], bool_rprimitive, value.line) elif is_float_rprimitive(value.type): result = self.compare_floats(value, Float(0.0), FloatComparisonOp.NEQ, value.line) else: value_type = optional_value_type(value.type) if value_type is not None: not_none = self.translate_is_op(value, self.none_object(), "is not", value.line) always_truthy = False if isinstance(value_type, RInstance): # check whether X.__bool__ is always just the default (object.__bool__) if not value_type.class_ir.has_method( "__bool__" ) and value_type.class_ir.is_method_final("__bool__"): always_truthy = True if always_truthy: result = not_none else: # "X | None" where X may be falsey and requires a check result = Register(bit_rprimitive) true, false, end = BasicBlock(), BasicBlock(), BasicBlock() branch = Branch(not_none, true, false, Branch.BOOL) self.add(branch) self.activate_block(true) # unbox_or_cast instead of coerce because we want the # type to change even if it is a subtype. remaining = self.unbox_or_cast(value, value_type, value.line) as_bool = self.bool_value(remaining) self.add(Assign(result, as_bool)) self.goto(end) self.activate_block(false) self.add(Assign(result, Integer(0, bit_rprimitive))) self.goto(end) self.activate_block(end) else: result = self.primitive_op(bool_op, [value], value.line) return result def add_bool_branch(self, value: Value, true: BasicBlock, false: BasicBlock) -> None: opt_value_type = optional_value_type(value.type) if opt_value_type is None: bool_value = self.bool_value(value) self.add(Branch(bool_value, true, false, Branch.BOOL)) else: # Special-case optional types is_none = self.translate_is_op(value, self.none_object(), "is not", value.line) branch = Branch(is_none, true, false, Branch.BOOL) self.add(branch) always_truthy = False if isinstance(opt_value_type, RInstance): # check whether X.__bool__ is always just the default (object.__bool__) if not opt_value_type.class_ir.has_method( "__bool__" ) and opt_value_type.class_ir.is_method_final("__bool__"): always_truthy = True if not always_truthy: # Optional[X] where X may be falsey and requires a check branch.true = BasicBlock() self.activate_block(branch.true) # unbox_or_cast instead of coerce because we want the # type to change even if it is a subtype. remaining = self.unbox_or_cast(value, opt_value_type, value.line) self.add_bool_branch(remaining, true, false) def call_c( self, desc: CFunctionDescription, args: list[Value], line: int, result_type: RType | None = None, ) -> Value: """Call function using C/native calling convention (not a Python callable).""" # Handle void function via singleton RVoid instance coerced = [] # Coerce fixed number arguments for i in range(min(len(args), len(desc.arg_types))): formal_type = desc.arg_types[i] arg = args[i] arg = self.coerce(arg, formal_type, line) coerced.append(arg) # Reorder args if necessary if desc.ordering is not None: assert desc.var_arg_type is None coerced = [coerced[i] for i in desc.ordering] # Coerce any var_arg var_arg_idx = -1 if desc.var_arg_type is not None: var_arg_idx = len(desc.arg_types) for i in range(len(desc.arg_types), len(args)): arg = args[i] arg = self.coerce(arg, desc.var_arg_type, line) coerced.append(arg) # Add extra integer constant if any for item in desc.extra_int_constants: val, typ = item extra_int_constant = Integer(val, typ, line) coerced.append(extra_int_constant) error_kind = desc.error_kind if error_kind == ERR_NEG_INT: # Handled with an explicit comparison error_kind = ERR_NEVER target = self.add( CallC( desc.c_function_name, coerced, desc.return_type, desc.steals, desc.is_borrowed, error_kind, line, var_arg_idx, is_pure=desc.is_pure, returns_null=desc.returns_null, capsule=desc.capsule, ) ) if desc.is_borrowed: # If the result is borrowed, force the arguments to be # kept alive afterwards, as otherwise the result might be # immediately freed, at the risk of a dangling pointer. for arg in coerced: if not isinstance(arg, (Integer, LoadLiteral)): self.keep_alives.append(arg) if desc.error_kind == ERR_NEG_INT: comp = ComparisonOp(target, Integer(0, desc.return_type, line), ComparisonOp.SGE, line) comp.error_kind = ERR_FALSE self.add(comp) if desc.truncated_type is None: result = target else: truncate = self.add(Truncate(target, desc.truncated_type)) result = truncate if result_type and not is_runtime_subtype(result.type, result_type): if is_none_rprimitive(result_type): # Special case None return. The actual result may actually be a bool # and so we can't just coerce it. result = self.none() else: result = self.coerce(target, result_type, line, can_borrow=desc.is_borrowed) return result def matching_call_c( self, candidates: list[CFunctionDescription], args: list[Value], line: int, result_type: RType | None = None, can_borrow: bool = False, ) -> Value | None: matching: CFunctionDescription | None = None for desc in candidates: if len(desc.arg_types) != len(args): continue if all( is_subtype(actual.type, formal) for actual, formal in zip(args, desc.arg_types) ) and (not desc.is_borrowed or can_borrow): if matching: assert matching.priority != desc.priority, "Ambiguous:\n1) {}\n2) {}".format( matching, desc ) if desc.priority > matching.priority: matching = desc else: matching = desc if matching: target = self.call_c(matching, args, line, result_type) return target return None def primitive_op( self, desc: PrimitiveDescription, args: list[Value], line: int, result_type: RType | None = None, ) -> Value: """Add a primitive op.""" # Does this primitive map into calling a Python C API # or an internal mypyc C API function? if desc.c_function_name: # TODO: Generate PrimitiveOps here and transform them into CallC # ops only later in the lowering pass c_desc = CFunctionDescription( desc.name, desc.arg_types, desc.return_type, desc.var_arg_type, desc.truncated_type, desc.c_function_name, desc.error_kind, desc.steals, desc.is_borrowed, desc.ordering, desc.extra_int_constants, desc.priority, is_pure=desc.is_pure, returns_null=False, capsule=desc.capsule, ) return self.call_c(c_desc, args, line, result_type=result_type) # This primitive gets transformed in a lowering pass to # lower-level IR ops using a custom transform function. coerced = [] # Coerce fixed number arguments for i in range(min(len(args), len(desc.arg_types))): formal_type = desc.arg_types[i] arg = args[i] assert formal_type is not None # TODO arg = self.coerce(arg, formal_type, line) coerced.append(arg) assert desc.ordering is None assert desc.var_arg_type is None assert not desc.extra_int_constants target = self.add(PrimitiveOp(coerced, desc, line=line)) if desc.is_borrowed: # If the result is borrowed, force the arguments to be # kept alive afterwards, as otherwise the result might be # immediately freed, at the risk of a dangling pointer. for arg in coerced: if not isinstance(arg, (Integer, LoadLiteral)): self.keep_alives.append(arg) if desc.error_kind == ERR_NEG_INT: comp = ComparisonOp(target, Integer(0, desc.return_type, line), ComparisonOp.SGE, line) comp.error_kind = ERR_FALSE self.add(comp) assert desc.truncated_type is None result = target if result_type and not is_runtime_subtype(result.type, result_type): if is_none_rprimitive(result_type): # Special case None return. The actual result may actually be a bool # and so we can't just coerce it. result = self.none() else: result = self.coerce(result, result_type, line, can_borrow=desc.is_borrowed) return result def matching_primitive_op( self, candidates: list[PrimitiveDescription], args: list[Value], line: int, result_type: RType | None = None, can_borrow: bool = False, ) -> Value | None: matching: PrimitiveDescription | None = None for desc in candidates: if len(desc.arg_types) != len(args): continue if desc.experimental and not self.options.experimental_features: continue if all( # formal is not None and # TODO is_subtype(actual.type, formal) for actual, formal in zip(args, desc.arg_types) ) and (not desc.is_borrowed or can_borrow): if matching: assert matching.priority != desc.priority, "Ambiguous:\n1) {}\n2) {}".format( matching, desc ) if desc.priority > matching.priority: matching = desc else: matching = desc if matching: return self.primitive_op(matching, args, line=line, result_type=result_type) return None def int_op(self, type: RType, lhs: Value, rhs: Value, op: int, line: int = -1) -> Value: """Generate a native integer binary op. Use native/C semantics, which sometimes differ from Python semantics. Args: type: Either int64_rprimitive or int32_rprimitive op: IntOp.* constant (e.g. IntOp.ADD) """ return self.add(IntOp(type, lhs, rhs, op, line)) def float_op(self, lhs: Value, rhs: Value, op: str, line: int) -> Value: """Generate a native float binary arithmetic operation. This follows Python semantics (e.g. raise exception on division by zero). Add a FloatOp directly if you want low-level semantics. Args: op: Binary operator (e.g. '+' or '*') """ op_id = float_op_to_id[op] if op_id in (FloatOp.DIV, FloatOp.MOD): if not (isinstance(rhs, Float) and rhs.value != 0.0): c = self.compare_floats(rhs, Float(0.0), FloatComparisonOp.EQ, line) err, ok = BasicBlock(), BasicBlock() self.add(Branch(c, err, ok, Branch.BOOL, rare=True)) self.activate_block(err) if op_id == FloatOp.DIV: msg = "float division by zero" else: msg = "float modulo" self.add(RaiseStandardError(RaiseStandardError.ZERO_DIVISION_ERROR, msg, line)) self.add(Unreachable()) self.activate_block(ok) if op_id == FloatOp.MOD: # Adjust the result to match Python semantics (FloatOp follows C semantics). return self.float_mod(lhs, rhs, line) else: return self.add(FloatOp(lhs, rhs, op_id, line)) def float_mod(self, lhs: Value, rhs: Value, line: int) -> Value: """Perform x % y on floats using Python semantics.""" mod = self.add(FloatOp(lhs, rhs, FloatOp.MOD, line)) res = Register(float_rprimitive) self.add(Assign(res, mod)) tricky, adjust, copysign, done = BasicBlock(), BasicBlock(), BasicBlock(), BasicBlock() is_zero = self.add(FloatComparisonOp(res, Float(0.0), FloatComparisonOp.EQ, line)) self.add(Branch(is_zero, copysign, tricky, Branch.BOOL)) self.activate_block(tricky) same_signs = self.is_same_float_signs(lhs, rhs, line) self.add(Branch(same_signs, done, adjust, Branch.BOOL)) self.activate_block(adjust) adj = self.float_op(res, rhs, "+", line) self.add(Assign(res, adj)) self.add(Goto(done)) self.activate_block(copysign) # If the remainder is zero, CPython ensures the result has the # same sign as the denominator. adj = self.primitive_op(copysign_op, [Float(0.0), rhs], line) self.add(Assign(res, adj)) self.add(Goto(done)) self.activate_block(done) return res def compare_floats(self, lhs: Value, rhs: Value, op: int, line: int) -> Value: return self.add(FloatComparisonOp(lhs, rhs, op, line)) def int_add(self, lhs: Value, rhs: Value | int) -> Value: """Helper to add two native integers. The result has the type of lhs. """ if isinstance(rhs, int): rhs = Integer(rhs, lhs.type) return self.int_op(lhs.type, lhs, rhs, IntOp.ADD, line=-1) def int_sub(self, lhs: Value, rhs: Value | int) -> Value: """Helper to subtract a native integer from another one. The result has the type of lhs. """ if isinstance(rhs, int): rhs = Integer(rhs, lhs.type) return self.int_op(lhs.type, lhs, rhs, IntOp.SUB, line=-1) def int_mul(self, lhs: Value, rhs: Value | int) -> Value: """Helper to multiply two native integers. The result has the type of lhs. """ if isinstance(rhs, int): rhs = Integer(rhs, lhs.type) return self.int_op(lhs.type, lhs, rhs, IntOp.MUL, line=-1) def fixed_width_int_op( self, type: RPrimitive, lhs: Value, rhs: Value, op: int, line: int ) -> Value: """Generate a binary op using Python fixed-width integer semantics. These may differ in overflow/rounding behavior from native/C ops. Args: type: Either int64_rprimitive or int32_rprimitive op: IntOp.* constant (e.g. IntOp.ADD) """ lhs = self.coerce(lhs, type, line) rhs = self.coerce(rhs, type, line) if op == IntOp.DIV: if isinstance(rhs, Integer) and rhs.value not in (-1, 0): if not type.is_signed: return self.int_op(type, lhs, rhs, IntOp.DIV, line) else: # Inline simple division by a constant, so that C # compilers can optimize more return self.inline_fixed_width_divide(type, lhs, rhs, line) if is_int64_rprimitive(type): prim = int64_divide_op elif is_int32_rprimitive(type): prim = int32_divide_op elif is_int16_rprimitive(type): prim = int16_divide_op elif is_uint8_rprimitive(type): self.check_for_zero_division(rhs, type, line) return self.int_op(type, lhs, rhs, op, line) else: assert False, type return self.call_c(prim, [lhs, rhs], line) if op == IntOp.MOD: if isinstance(rhs, Integer) and rhs.value not in (-1, 0): if not type.is_signed: return self.int_op(type, lhs, rhs, IntOp.MOD, line) else: # Inline simple % by a constant, so that C # compilers can optimize more return self.inline_fixed_width_mod(type, lhs, rhs, line) if is_int64_rprimitive(type): prim = int64_mod_op elif is_int32_rprimitive(type): prim = int32_mod_op elif is_int16_rprimitive(type): prim = int16_mod_op elif is_uint8_rprimitive(type): self.check_for_zero_division(rhs, type, line) return self.int_op(type, lhs, rhs, op, line) else: assert False, type return self.call_c(prim, [lhs, rhs], line) return self.int_op(type, lhs, rhs, op, line) def check_for_zero_division(self, rhs: Value, type: RType, line: int) -> None: err, ok = BasicBlock(), BasicBlock() is_zero = self.binary_op(rhs, Integer(0, type), "==", line) self.add(Branch(is_zero, err, ok, Branch.BOOL)) self.activate_block(err) self.add( RaiseStandardError( RaiseStandardError.ZERO_DIVISION_ERROR, "integer division or modulo by zero", line ) ) self.add(Unreachable()) self.activate_block(ok) def inline_fixed_width_divide(self, type: RType, lhs: Value, rhs: Value, line: int) -> Value: # Perform floor division (native division truncates) res = Register(type) div = self.int_op(type, lhs, rhs, IntOp.DIV, line) self.add(Assign(res, div)) same_signs = self.is_same_native_int_signs(type, lhs, rhs, line) tricky, adjust, done = BasicBlock(), BasicBlock(), BasicBlock() self.add(Branch(same_signs, done, tricky, Branch.BOOL)) self.activate_block(tricky) mul = self.int_op(type, res, rhs, IntOp.MUL, line) mul_eq = self.add(ComparisonOp(mul, lhs, ComparisonOp.EQ, line)) self.add(Branch(mul_eq, done, adjust, Branch.BOOL)) self.activate_block(adjust) adj = self.int_op(type, res, Integer(1, type), IntOp.SUB, line) self.add(Assign(res, adj)) self.add(Goto(done)) self.activate_block(done) return res def inline_fixed_width_mod(self, type: RType, lhs: Value, rhs: Value, line: int) -> Value: # Perform floor modulus res = Register(type) mod = self.int_op(type, lhs, rhs, IntOp.MOD, line) self.add(Assign(res, mod)) same_signs = self.is_same_native_int_signs(type, lhs, rhs, line) tricky, adjust, done = BasicBlock(), BasicBlock(), BasicBlock() self.add(Branch(same_signs, done, tricky, Branch.BOOL)) self.activate_block(tricky) is_zero = self.add(ComparisonOp(res, Integer(0, type), ComparisonOp.EQ, line)) self.add(Branch(is_zero, done, adjust, Branch.BOOL)) self.activate_block(adjust) adj = self.int_op(type, res, rhs, IntOp.ADD, line) self.add(Assign(res, adj)) self.add(Goto(done)) self.activate_block(done) return res def is_same_native_int_signs(self, type: RType, a: Value, b: Value, line: int) -> Value: neg1 = self.add(ComparisonOp(a, Integer(0, type), ComparisonOp.SLT, line)) neg2 = self.add(ComparisonOp(b, Integer(0, type), ComparisonOp.SLT, line)) return self.add(ComparisonOp(neg1, neg2, ComparisonOp.EQ, line)) def is_same_float_signs(self, a: Value, b: Value, line: int) -> Value: neg1 = self.add(FloatComparisonOp(a, Float(0.0), FloatComparisonOp.LT, line)) neg2 = self.add(FloatComparisonOp(b, Float(0.0), FloatComparisonOp.LT, line)) return self.add(ComparisonOp(neg1, neg2, ComparisonOp.EQ, line)) def comparison_op(self, lhs: Value, rhs: Value, op: int, line: int) -> Value: return self.add(ComparisonOp(lhs, rhs, op, line)) def builtin_len(self, val: Value, line: int, use_pyssize_t: bool = False) -> Value: """Generate len(val). Return short_int_rprimitive by default. Return c_pyssize_t if use_pyssize_t is true (unshifted). """ typ = val.type size_value = None if is_list_rprimitive(typ) or is_tuple_rprimitive(typ) or is_bytes_rprimitive(typ): size_value = self.primitive_op(var_object_size, [val], line) elif is_set_rprimitive(typ) or is_frozenset_rprimitive(typ): elem_address = self.add(GetElementPtr(val, PySetObject, "used")) size_value = self.load_mem(elem_address, c_pyssize_t_rprimitive) self.add(KeepAlive([val])) elif is_dict_rprimitive(typ): size_value = self.call_c(dict_ssize_t_size_op, [val], line) elif is_str_rprimitive(typ): size_value = self.call_c(str_ssize_t_size_op, [val], line) if size_value is not None: if use_pyssize_t: return size_value offset = Integer(1, c_pyssize_t_rprimitive, line) return self.int_op(short_int_rprimitive, size_value, offset, IntOp.LEFT_SHIFT, line) if isinstance(typ, RInstance): # TODO: Support use_pyssize_t assert not use_pyssize_t length = self.gen_method_call(val, "__len__", [], int_rprimitive, line) length = self.coerce(length, int_rprimitive, line) ok, fail = BasicBlock(), BasicBlock() cond = self.binary_op(length, Integer(0), ">=", line) self.add_bool_branch(cond, ok, fail) self.activate_block(fail) self.add( RaiseStandardError( RaiseStandardError.VALUE_ERROR, "__len__() should return >= 0", line ) ) self.add(Unreachable()) self.activate_block(ok) return length # generic case if use_pyssize_t: return self.call_c(generic_ssize_t_len_op, [val], line) else: return self.call_c(generic_len_op, [val], line) def new_tuple(self, items: list[Value], line: int) -> Value: if items: size: Value = Integer(len(items), c_pyssize_t_rprimitive) return self.call_c(new_tuple_op, [size] + items, line) else: return self.call_c(load_empty_tuple_constant_op, [], line) def new_tuple_with_length(self, length: Value, line: int) -> Value: """This function returns an uninitialized tuple. If the length is non-zero, the caller must initialize the tuple, before it can be made visible to user code -- otherwise the tuple object is broken. You might need further initialization with `new_tuple_set_item_op` op. Args: length: desired length of the new tuple. The rtype should be c_pyssize_t_rprimitive line: line number """ return self.call_c(new_tuple_with_length_op, [length], line) def int_to_float(self, n: Value, line: int) -> Value: return self.primitive_op(int_to_float_op, [n], line) def set_immortal_if_free_threaded(self, v: Value, line: int) -> None: """Make an object immortal on free-threaded builds (to avoid contention).""" if IS_FREE_THREADED and sys.version_info >= (3, 14): self.primitive_op(set_immortal_op, [v], line) # Internal helpers def decompose_union_helper( self, obj: Value, rtype: RUnion, result_type: RType, process_item: Callable[[Value], Value], line: int, ) -> Value: """Generate isinstance() + specialized operations for union items. Say, for Union[A, B] generate ops resembling this (pseudocode): if isinstance(obj, A): result = else: result = Args: obj: value with a union type rtype: the union type result_type: result of the operation process_item: callback to generate op for a single union item (arg is coerced to union item type) line: line number """ # TODO: Optimize cases where a single operation can handle multiple union items # (say a method is implemented in a common base class) fast_items = [] rest_items = [] for item in rtype.items: if isinstance(item, RInstance): fast_items.append(item) else: # For everything but RInstance we fall back to C API rest_items.append(item) exit_block = BasicBlock() result = Register(result_type) for i, item in enumerate(fast_items): more_types = i < len(fast_items) - 1 or rest_items if more_types: # We are not at the final item so we need one more branch op = self.isinstance_native(obj, item.class_ir, line) true_block, false_block = BasicBlock(), BasicBlock() self.add_bool_branch(op, true_block, false_block) self.activate_block(true_block) coerced = self.coerce(obj, item, line) temp = process_item(coerced) temp2 = self.coerce(temp, result_type, line) self.add(Assign(result, temp2)) self.goto(exit_block) if more_types: self.activate_block(false_block) if rest_items: # For everything else we use generic operation. Use force=True to drop the # union type. coerced = self.coerce(obj, object_rprimitive, line, force=True) temp = process_item(coerced) temp2 = self.coerce(temp, result_type, line) self.add(Assign(result, temp2)) self.goto(exit_block) self.activate_block(exit_block) return result def translate_special_method_call( self, base_reg: Value, name: str, args: list[Value], result_type: RType | None, line: int, can_borrow: bool = False, ) -> Value | None: """Translate a method call which is handled nongenerically. These are special in the sense that we have code generated specifically for them. They tend to be method calls which have equivalents in C that are more direct than calling with the PyObject api. Return None if no translation found; otherwise return the target register. """ primitive_ops_candidates = method_call_ops.get(name, []) primitive_op = self.matching_primitive_op( primitive_ops_candidates, [base_reg] + args, line, result_type, can_borrow=can_borrow ) return primitive_op def translate_eq_cmp(self, lreg: Value, rreg: Value, expr_op: str, line: int) -> Value | None: """Add an equality comparison operation. Note that this doesn't cover all possible types. Args: expr_op: either '==' or '!=' """ ltype = lreg.type rtype = rreg.type if is_str_rprimitive(ltype) and is_str_rprimitive(rtype): return self.compare_strings(lreg, rreg, expr_op, line) if is_bytes_rprimitive(ltype) and is_bytes_rprimitive(rtype): return self.compare_bytes(lreg, rreg, expr_op, line) lopt = optional_value_type(ltype) ropt = optional_value_type(rtype) # Can we do a quick comparison of two optional types (special case None values)? fast_opt_eq = False if lopt is not None: if ropt is not None and is_same_type(lopt, ropt) and self._never_equal_to_none(lopt): fast_opt_eq = True if is_same_type(lopt, rtype) and self._never_equal_to_none(lopt): fast_opt_eq = True elif ropt is not None: if is_same_type(ropt, ltype) and self._never_equal_to_none(ropt): fast_opt_eq = True if fast_opt_eq: return self._translate_fast_optional_eq_cmp(lreg, rreg, expr_op, line) if not (isinstance(ltype, RInstance) and ltype == rtype): return None class_ir = ltype.class_ir # Check whether any subclasses of the operand redefines __eq__ # or it might be redefined in a Python parent class or by # dataclasses cmp_varies_at_runtime = ( not class_ir.is_method_final("__eq__") or not class_ir.is_method_final("__ne__") or class_ir.inherits_python or class_ir.is_augmented ) if cmp_varies_at_runtime: # We might need to call left.__eq__(right) or right.__eq__(left) # depending on which is the more specific type. return None if not class_ir.has_method("__eq__"): # There's no __eq__ defined, so just use object identity. identity_ref_op = "is" if expr_op == "==" else "is not" return self.translate_is_op(lreg, rreg, identity_ref_op, line) return self.gen_method_call(lreg, op_methods[expr_op], [rreg], ltype, line) def _never_equal_to_none(self, typ: RType) -> bool: """Are the values of type never equal to None?""" # TODO: Support RInstance with no custom __eq__/__ne__ and other primitive types. return is_str_rprimitive(typ) or is_bytes_rprimitive(typ) def _translate_fast_optional_eq_cmp( self, lreg: Value, rreg: Value, expr_op: str, line: int ) -> Value: """Generate eq/ne fast path between 'X | None' and ('X | None' or X). Assume 'X' never compares equal to None. """ if not isinstance(lreg.type, RUnion): lreg, rreg = rreg, lreg value_typ = optional_value_type(lreg.type) assert value_typ res = Register(bool_rprimitive) # Fast path: left value is None? cmp = self.add(ComparisonOp(lreg, self.none_object(), ComparisonOp.EQ, line)) l_none = BasicBlock() l_not_none = BasicBlock() out = BasicBlock() self.add(Branch(cmp, l_none, l_not_none, Branch.BOOL)) self.activate_block(l_none) if not isinstance(rreg.type, RUnion): val = self.false() if expr_op == "==" else self.true() self.add(Assign(res, val)) else: op = ComparisonOp.EQ if expr_op == "==" else ComparisonOp.NEQ cmp = self.add(ComparisonOp(rreg, self.none_object(), op, line)) self.add(Assign(res, cmp)) self.goto(out) self.activate_block(l_not_none) if not isinstance(rreg.type, RUnion): # Both operands are known to be not None, perform specialized comparison eq = self.translate_eq_cmp( self.unbox_or_cast(lreg, value_typ, line, can_borrow=True, unchecked=True), rreg, expr_op, line, ) assert eq is not None self.add(Assign(res, eq)) else: r_none = BasicBlock() r_not_none = BasicBlock() # Fast path: right value is None? cmp = self.add(ComparisonOp(rreg, self.none_object(), ComparisonOp.EQ, line)) self.add(Branch(cmp, r_none, r_not_none, Branch.BOOL)) self.activate_block(r_none) # None vs not-None val = self.false() if expr_op == "==" else self.true() self.add(Assign(res, val)) self.goto(out) self.activate_block(r_not_none) # Both operands are known to be not None, perform specialized comparison eq = self.translate_eq_cmp( self.unbox_or_cast(lreg, value_typ, line, can_borrow=True, unchecked=True), self.unbox_or_cast(rreg, value_typ, line, can_borrow=True, unchecked=True), expr_op, line, ) assert eq is not None self.add(Assign(res, eq)) self.goto(out) self.activate_block(out) return res def translate_is_op(self, lreg: Value, rreg: Value, expr_op: str, line: int) -> Value: """Create equality comparison operation between object identities Args: expr_op: either 'is' or 'is not' """ op = ComparisonOp.EQ if expr_op == "is" else ComparisonOp.NEQ lhs = self.coerce(lreg, object_rprimitive, line) rhs = self.coerce(rreg, object_rprimitive, line) return self.add(ComparisonOp(lhs, rhs, op, line)) def _create_dict(self, keys: list[Value], values: list[Value], line: int) -> Value: """Create a dictionary(possibly empty) using keys and values""" # keys and values should have the same number of items size = len(keys) if size > 0: size_value: Value = Integer(size, c_pyssize_t_rprimitive) # merge keys and values items = [i for t in list(zip(keys, values)) for i in t] return self.call_c(dict_build_op, [size_value] + items, line) else: return self.call_c(dict_new_op, [], line) def error(self, msg: str, line: int) -> None: assert self.errors is not None, "cannot generate errors in this compiler phase" self.errors.error(msg, self.module_path, line) def num_positional_args(arg_values: list[Value], arg_kinds: list[ArgKind] | None) -> int: if arg_kinds is None: return len(arg_values) num_pos = 0 for kind in arg_kinds: if kind == ARG_POS: num_pos += 1 return num_pos ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/main.py0000644000175100017510000001244415112307767016355 0ustar00runnerrunner"""Transform a mypy AST to the IR form (Intermediate Representation). For example, consider a function like this: def f(x: int) -> int: return x * 2 + 1 It would be translated to something that conceptually looks like this: r0 = 2 r1 = 1 r2 = x * r0 :: int r3 = r2 + r1 :: int return r3 This module deals with the module-level IR transformation logic and putting it all together. The actual IR is implemented in mypyc.ir. For the core of the IR transform implementation, look at build_ir() below, mypyc.irbuild.builder, and mypyc.irbuild.visitor. """ from __future__ import annotations from typing import Any, Callable, TypeVar, cast from mypy.build import Graph from mypy.nodes import ClassDef, Expression, FuncDef, MypyFile from mypy.state import state from mypy.types import Type from mypyc.analysis.attrdefined import analyze_always_defined_attrs from mypyc.common import TOP_LEVEL_NAME from mypyc.errors import Errors from mypyc.ir.func_ir import FuncDecl, FuncIR, FuncSignature from mypyc.ir.module_ir import ModuleIR, ModuleIRs from mypyc.ir.rtypes import none_rprimitive from mypyc.irbuild.builder import IRBuilder from mypyc.irbuild.mapper import Mapper from mypyc.irbuild.prebuildvisitor import PreBuildVisitor from mypyc.irbuild.prepare import ( adjust_generator_classes_of_methods, build_type_map, create_generator_class_for_func, find_singledispatch_register_impls, ) from mypyc.irbuild.visitor import IRBuilderVisitor from mypyc.irbuild.vtable import compute_vtable from mypyc.options import CompilerOptions # The stubs for callable contextmanagers are busted so cast it to the # right type... F = TypeVar("F", bound=Callable[..., Any]) strict_optional_dec = cast(Callable[[F], F], state.strict_optional_set(True)) @strict_optional_dec # Turn on strict optional for any type manipulations we do def build_ir( modules: list[MypyFile], graph: Graph, types: dict[Expression, Type], mapper: Mapper, options: CompilerOptions, errors: Errors, ) -> ModuleIRs: """Build basic IR for a set of modules that have been type-checked by mypy. The returned IR is not complete and requires additional transformations, such as the insertion of refcount handling. """ build_type_map(mapper, modules, graph, types, options, errors) adjust_generator_classes_of_methods(mapper) singledispatch_info = find_singledispatch_register_impls(modules, errors) result: ModuleIRs = {} if errors.num_errors > 0: return result # Generate IR for all modules. class_irs = [] for module in modules: # First pass to determine free symbols. pbv = PreBuildVisitor(errors, module, singledispatch_info.decorators_to_remove, types) module.accept(pbv) # Declare generator classes for nested async functions and generators. for fdef in pbv.nested_funcs: if isinstance(fdef, FuncDef): # Make generator class name sufficiently unique. suffix = f"___{fdef.line}" if fdef.is_coroutine or fdef.is_generator: create_generator_class_for_func( module.fullname, None, fdef, mapper, name_suffix=suffix ) # Construct and configure builder objects (cyclic runtime dependency). visitor = IRBuilderVisitor() builder = IRBuilder( module.fullname, types, graph, errors, mapper, pbv, visitor, options, singledispatch_info.singledispatch_impls, ) visitor.builder = builder # Second pass does the bulk of the work. transform_mypy_file(builder, module) module_ir = ModuleIR( module.fullname, list(builder.imports), builder.functions, builder.classes, builder.final_names, builder.type_var_names, ) result[module.fullname] = module_ir class_irs.extend(builder.classes) analyze_always_defined_attrs(class_irs) # Compute vtables. for cir in class_irs: if cir.is_ext_class: compute_vtable(cir) return result def transform_mypy_file(builder: IRBuilder, mypyfile: MypyFile) -> None: """Generate IR for a single module.""" if mypyfile.fullname in ("typing", "abc"): # These module are special; their contents are currently all # built-in primitives. return builder.set_module(mypyfile.fullname, mypyfile.path) classes = [node for node in mypyfile.defs if isinstance(node, ClassDef)] # Collect all classes. for cls in classes: ir = builder.mapper.type_to_ir[cls.info] builder.classes.append(ir) builder.enter("") # Make sure we have a builtins import builder.gen_import("builtins", -1) # Generate ops. for node in mypyfile.defs: builder.accept(node) builder.maybe_add_implicit_return() # Generate special function representing module top level. args, _, blocks, ret_type, _ = builder.leave() sig = FuncSignature([], none_rprimitive) func_ir = FuncIR( FuncDecl(TOP_LEVEL_NAME, None, builder.module_name, sig), args, blocks, traceback_name="", ) builder.functions.append(func_ir) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/mapper.py0000644000175100017510000002260415112307767016714 0ustar00runnerrunner"""Maintain a mapping from mypy concepts to IR/compiled concepts.""" from __future__ import annotations from mypy.nodes import ARG_STAR, ARG_STAR2, GDEF, ArgKind, FuncDef, RefExpr, SymbolNode, TypeInfo from mypy.types import ( AnyType, CallableType, Instance, LiteralType, NoneTyp, Overloaded, PartialType, TupleType, Type, TypedDictType, TypeType, TypeVarLikeType, UnboundType, UninhabitedType, UnionType, find_unpack_in_list, get_proper_type, ) from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncDecl, FuncSignature, RuntimeArg from mypyc.ir.rtypes import ( KNOWN_NATIVE_TYPES, RInstance, RTuple, RType, RUnion, bool_rprimitive, bytes_rprimitive, dict_rprimitive, float_rprimitive, frozenset_rprimitive, int16_rprimitive, int32_rprimitive, int64_rprimitive, int_rprimitive, list_rprimitive, none_rprimitive, object_rprimitive, range_rprimitive, set_rprimitive, str_rprimitive, tuple_rprimitive, uint8_rprimitive, ) class Mapper: """Keep track of mappings from mypy concepts to IR concepts. For example, we keep track of how the mypy TypeInfos of compiled classes map to class IR objects. This state is shared across all modules being compiled in all compilation groups. """ def __init__(self, group_map: dict[str, str | None]) -> None: self.group_map = group_map self.type_to_ir: dict[TypeInfo, ClassIR] = {} self.func_to_decl: dict[SymbolNode, FuncDecl] = {} self.symbol_fullnames: set[str] = set() # The corresponding generator class that implements a generator/async function self.fdef_to_generator: dict[FuncDef, ClassIR] = {} def type_to_rtype(self, typ: Type | None) -> RType: if typ is None: return object_rprimitive typ = get_proper_type(typ) if isinstance(typ, Instance): if typ.type.is_newtype: # Unwrap NewType to its base type for rprimitive mapping assert len(typ.type.bases) == 1, typ.type.bases return self.type_to_rtype(typ.type.bases[0]) if typ.type.fullname == "builtins.int": return int_rprimitive elif typ.type.fullname == "builtins.float": return float_rprimitive elif typ.type.fullname == "builtins.bool": return bool_rprimitive elif typ.type.fullname == "builtins.str": return str_rprimitive elif typ.type.fullname == "builtins.bytes": return bytes_rprimitive elif typ.type.fullname == "builtins.list": return list_rprimitive # Dict subclasses are at least somewhat common and we # specifically support them, so make sure that dict operations # get optimized on them. elif any(cls.fullname == "builtins.dict" for cls in typ.type.mro): return dict_rprimitive elif typ.type.fullname == "builtins.set": return set_rprimitive elif typ.type.fullname == "builtins.frozenset": return frozenset_rprimitive elif typ.type.fullname == "builtins.tuple": return tuple_rprimitive # Varying-length tuple elif typ.type.fullname == "builtins.range": return range_rprimitive elif typ.type in self.type_to_ir: inst = RInstance(self.type_to_ir[typ.type]) # Treat protocols as Union[protocol, object], so that we can do fast # method calls in the cases where the protocol is explicitly inherited from # and fall back to generic operations when it isn't. if typ.type.is_protocol: return RUnion([inst, object_rprimitive]) else: return inst elif typ.type.fullname == "mypy_extensions.i64": return int64_rprimitive elif typ.type.fullname == "mypy_extensions.i32": return int32_rprimitive elif typ.type.fullname == "mypy_extensions.i16": return int16_rprimitive elif typ.type.fullname == "mypy_extensions.u8": return uint8_rprimitive elif typ.type.fullname in KNOWN_NATIVE_TYPES: return KNOWN_NATIVE_TYPES[typ.type.fullname] else: return object_rprimitive elif isinstance(typ, TupleType): # Use our unboxed tuples for raw tuples but fall back to # being boxed for NamedTuple or for variadic tuples. if ( typ.partial_fallback.type.fullname == "builtins.tuple" and find_unpack_in_list(typ.items) is None ): return RTuple([self.type_to_rtype(t) for t in typ.items]) else: return tuple_rprimitive elif isinstance(typ, CallableType): return object_rprimitive elif isinstance(typ, NoneTyp): return none_rprimitive elif isinstance(typ, UnionType): return RUnion.make_simplified_union([self.type_to_rtype(item) for item in typ.items]) elif isinstance(typ, AnyType): return object_rprimitive elif isinstance(typ, TypeType): return object_rprimitive elif isinstance(typ, TypeVarLikeType): # Erase type variable to upper bound. # TODO: Erase to union if object has value restriction? return self.type_to_rtype(typ.upper_bound) elif isinstance(typ, PartialType): assert typ.var.type is not None return self.type_to_rtype(typ.var.type) elif isinstance(typ, Overloaded): return object_rprimitive elif isinstance(typ, TypedDictType): return dict_rprimitive elif isinstance(typ, LiteralType): return self.type_to_rtype(typ.fallback) elif isinstance(typ, (UninhabitedType, UnboundType)): # Sure, whatever! return object_rprimitive # I think we've covered everything that is supposed to # actually show up, so anything else is a bug somewhere. assert False, "unexpected type %s" % type(typ) def get_arg_rtype(self, typ: Type, kind: ArgKind) -> RType: if kind == ARG_STAR: return tuple_rprimitive elif kind == ARG_STAR2: return dict_rprimitive else: return self.type_to_rtype(typ) def fdef_to_sig(self, fdef: FuncDef, strict_dunders_typing: bool) -> FuncSignature: if isinstance(fdef.type, CallableType): arg_types = [ self.get_arg_rtype(typ, kind) for typ, kind in zip(fdef.type.arg_types, fdef.type.arg_kinds) ] arg_pos_onlys = [name is None for name in fdef.type.arg_names] ret = self.type_to_rtype(fdef.type.ret_type) else: # Handle unannotated functions arg_types = [object_rprimitive for _ in fdef.arguments] arg_pos_onlys = [arg.pos_only for arg in fdef.arguments] # We at least know the return type for __init__ methods will be None. is_init_method = fdef.name == "__init__" and bool(fdef.info) if is_init_method: ret = none_rprimitive else: ret = object_rprimitive # mypyc FuncSignatures (unlike mypy types) want to have a name # present even when the argument is position only, since it is # the sole way that FuncDecl arguments are tracked. This is # generally fine except in some cases (like for computing # init_sig) we need to produce FuncSignatures from a # deserialized FuncDef that lacks arguments. We won't ever # need to use those inside of a FuncIR, so we just make up # some crap. if hasattr(fdef, "arguments"): arg_names = [arg.variable.name for arg in fdef.arguments] else: arg_names = [name or "" for name in fdef.arg_names] args = [ RuntimeArg(arg_name, arg_type, arg_kind, arg_pos_only) for arg_name, arg_kind, arg_type, arg_pos_only in zip( arg_names, fdef.arg_kinds, arg_types, arg_pos_onlys ) ] if not strict_dunders_typing: # We force certain dunder methods to return objects to support letting them # return NotImplemented. It also avoids some pointless boxing and unboxing, # since tp_richcompare needs an object anyways. # However, it also prevents some optimizations. if fdef.name in ("__eq__", "__ne__", "__lt__", "__gt__", "__le__", "__ge__"): ret = object_rprimitive return FuncSignature(args, ret) def is_native_module(self, module: str) -> bool: """Is the given module one compiled by mypyc?""" return module in self.group_map def is_native_ref_expr(self, expr: RefExpr) -> bool: if expr.node is None: return False if "." in expr.node.fullname: name = expr.node.fullname.rpartition(".")[0] return self.is_native_module(name) or name in self.symbol_fullnames return True def is_native_module_ref_expr(self, expr: RefExpr) -> bool: return self.is_native_ref_expr(expr) and expr.kind == GDEF ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/match.py0000644000175100017510000002772615112307767016536 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Generator from contextlib import contextmanager from mypy.nodes import MatchStmt, NameExpr, TypeInfo from mypy.patterns import ( AsPattern, ClassPattern, MappingPattern, OrPattern, Pattern, SequencePattern, SingletonPattern, StarredPattern, ValuePattern, ) from mypy.traverser import TraverserVisitor from mypy.types import Instance, LiteralType, TupleType, get_proper_type from mypyc.ir.ops import BasicBlock, Value from mypyc.ir.rtypes import object_rprimitive from mypyc.irbuild.builder import IRBuilder from mypyc.primitives.dict_ops import ( dict_copy, dict_del_item, mapping_has_key, supports_mapping_protocol, ) from mypyc.primitives.generic_ops import generic_ssize_t_len_op from mypyc.primitives.list_ops import ( sequence_get_item, sequence_get_slice, supports_sequence_protocol, ) from mypyc.primitives.misc_ops import fast_isinstance_op, slow_isinstance_op # From: https://peps.python.org/pep-0634/#class-patterns MATCHABLE_BUILTINS = { "builtins.bool", "builtins.bytearray", "builtins.bytes", "builtins.dict", "builtins.float", "builtins.frozenset", "builtins.int", "builtins.list", "builtins.set", "builtins.str", "builtins.tuple", } class MatchVisitor(TraverserVisitor): builder: IRBuilder code_block: BasicBlock next_block: BasicBlock final_block: BasicBlock subject: Value match: MatchStmt as_pattern: AsPattern | None = None def __init__(self, builder: IRBuilder, match_node: MatchStmt) -> None: self.builder = builder self.code_block = BasicBlock() self.next_block = BasicBlock() self.final_block = BasicBlock() self.match = match_node self.subject = builder.accept(match_node.subject) def build_match_body(self, index: int) -> None: self.builder.activate_block(self.code_block) guard = self.match.guards[index] if guard: self.code_block = BasicBlock() cond = self.builder.accept(guard) self.builder.add_bool_branch(cond, self.code_block, self.next_block) self.builder.activate_block(self.code_block) self.builder.accept(self.match.bodies[index]) self.builder.goto(self.final_block) def visit_match_stmt(self, m: MatchStmt) -> None: for i, pattern in enumerate(m.patterns): self.code_block = BasicBlock() self.next_block = BasicBlock() pattern.accept(self) self.build_match_body(i) self.builder.activate_block(self.next_block) self.builder.goto_and_activate(self.final_block) def visit_value_pattern(self, pattern: ValuePattern) -> None: value = self.builder.accept(pattern.expr) cond = self.builder.binary_op(self.subject, value, "==", pattern.expr.line) self.bind_as_pattern(value) self.builder.add_bool_branch(cond, self.code_block, self.next_block) def visit_or_pattern(self, pattern: OrPattern) -> None: backup_block = self.next_block self.next_block = BasicBlock() for p in pattern.patterns: # Hack to ensure the as pattern is bound to each pattern in the # "or" pattern, but not every subpattern backup = self.as_pattern p.accept(self) self.as_pattern = backup self.builder.activate_block(self.next_block) self.next_block = BasicBlock() self.next_block = backup_block self.builder.goto(self.next_block) def visit_class_pattern(self, pattern: ClassPattern) -> None: # TODO: use faster instance check for native classes (while still # making sure to account for inheritance) isinstance_op = ( fast_isinstance_op if self.builder.is_builtin_ref_expr(pattern.class_ref) else slow_isinstance_op ) cond = self.builder.primitive_op( isinstance_op, [self.subject, self.builder.accept(pattern.class_ref)], pattern.line ) self.builder.add_bool_branch(cond, self.code_block, self.next_block) self.bind_as_pattern(self.subject, new_block=True) if pattern.positionals: if pattern.class_ref.fullname in MATCHABLE_BUILTINS: self.builder.activate_block(self.code_block) self.code_block = BasicBlock() pattern.positionals[0].accept(self) return node = pattern.class_ref.node assert isinstance(node, TypeInfo), node match_args = extract_dunder_match_args_names(node) for i, expr in enumerate(pattern.positionals): self.builder.activate_block(self.code_block) self.code_block = BasicBlock() # TODO: use faster "get_attr" method instead when calling on native or # builtin objects positional = self.builder.py_get_attr(self.subject, match_args[i], expr.line) with self.enter_subpattern(positional): expr.accept(self) for key, value in zip(pattern.keyword_keys, pattern.keyword_values): self.builder.activate_block(self.code_block) self.code_block = BasicBlock() # TODO: same as above "get_attr" comment attr = self.builder.py_get_attr(self.subject, key, value.line) with self.enter_subpattern(attr): value.accept(self) def visit_as_pattern(self, pattern: AsPattern) -> None: if pattern.pattern: old_pattern = self.as_pattern self.as_pattern = pattern pattern.pattern.accept(self) self.as_pattern = old_pattern elif pattern.name: target = self.builder.get_assignment_target(pattern.name) self.builder.assign(target, self.subject, pattern.line) self.builder.goto(self.code_block) def visit_singleton_pattern(self, pattern: SingletonPattern) -> None: if pattern.value is None: obj = self.builder.none_object() elif pattern.value is True: obj = self.builder.true() else: obj = self.builder.false() cond = self.builder.binary_op(self.subject, obj, "is", pattern.line) self.builder.add_bool_branch(cond, self.code_block, self.next_block) def visit_mapping_pattern(self, pattern: MappingPattern) -> None: is_dict = self.builder.call_c(supports_mapping_protocol, [self.subject], pattern.line) self.builder.add_bool_branch(is_dict, self.code_block, self.next_block) keys: list[Value] = [] for key, value in zip(pattern.keys, pattern.values): self.builder.activate_block(self.code_block) self.code_block = BasicBlock() key_value = self.builder.accept(key) keys.append(key_value) exists = self.builder.call_c(mapping_has_key, [self.subject, key_value], pattern.line) self.builder.add_bool_branch(exists, self.code_block, self.next_block) self.builder.activate_block(self.code_block) self.code_block = BasicBlock() item = self.builder.gen_method_call( self.subject, "__getitem__", [key_value], object_rprimitive, pattern.line ) with self.enter_subpattern(item): value.accept(self) if pattern.rest: self.builder.activate_block(self.code_block) self.code_block = BasicBlock() rest = self.builder.primitive_op(dict_copy, [self.subject], pattern.rest.line) target = self.builder.get_assignment_target(pattern.rest) self.builder.assign(target, rest, pattern.rest.line) for i, key_name in enumerate(keys): self.builder.call_c(dict_del_item, [rest, key_name], pattern.keys[i].line) self.builder.goto(self.code_block) def visit_sequence_pattern(self, seq_pattern: SequencePattern) -> None: star_index, capture, patterns = prep_sequence_pattern(seq_pattern) is_list = self.builder.call_c(supports_sequence_protocol, [self.subject], seq_pattern.line) self.builder.add_bool_branch(is_list, self.code_block, self.next_block) self.builder.activate_block(self.code_block) self.code_block = BasicBlock() actual_len = self.builder.call_c(generic_ssize_t_len_op, [self.subject], seq_pattern.line) min_len = len(patterns) is_long_enough = self.builder.binary_op( actual_len, self.builder.load_int(min_len), "==" if star_index is None else ">=", seq_pattern.line, ) self.builder.add_bool_branch(is_long_enough, self.code_block, self.next_block) for i, pattern in enumerate(patterns): self.builder.activate_block(self.code_block) self.code_block = BasicBlock() if star_index is not None and i >= star_index: current = self.builder.binary_op( actual_len, self.builder.load_int(min_len - i), "-", pattern.line ) else: current = self.builder.load_int(i) item = self.builder.call_c(sequence_get_item, [self.subject, current], pattern.line) with self.enter_subpattern(item): pattern.accept(self) if capture and star_index is not None: self.builder.activate_block(self.code_block) self.code_block = BasicBlock() capture_end = self.builder.binary_op( actual_len, self.builder.load_int(min_len - star_index), "-", capture.line ) rest = self.builder.call_c( sequence_get_slice, [self.subject, self.builder.load_int(star_index), capture_end], capture.line, ) target = self.builder.get_assignment_target(capture) self.builder.assign(target, rest, capture.line) self.builder.goto(self.code_block) def bind_as_pattern(self, value: Value, new_block: bool = False) -> None: if self.as_pattern and self.as_pattern.pattern and self.as_pattern.name: if new_block: self.builder.activate_block(self.code_block) self.code_block = BasicBlock() target = self.builder.get_assignment_target(self.as_pattern.name) self.builder.assign(target, value, self.as_pattern.pattern.line) self.as_pattern = None if new_block: self.builder.goto(self.code_block) @contextmanager def enter_subpattern(self, subject: Value) -> Generator[None]: old_subject = self.subject self.subject = subject yield self.subject = old_subject def prep_sequence_pattern( seq_pattern: SequencePattern, ) -> tuple[int | None, NameExpr | None, list[Pattern]]: star_index: int | None = None capture: NameExpr | None = None patterns: list[Pattern] = [] for i, pattern in enumerate(seq_pattern.patterns): if isinstance(pattern, StarredPattern): star_index = i capture = pattern.capture else: patterns.append(pattern) return star_index, capture, patterns def extract_dunder_match_args_names(info: TypeInfo) -> list[str]: ty = info.names.get("__match_args__") assert ty match_args_type = get_proper_type(ty.type) assert isinstance(match_args_type, TupleType), match_args_type match_args: list[str] = [] for item in match_args_type.items: proper_item = get_proper_type(item) match_arg = None if isinstance(proper_item, Instance) and proper_item.last_known_value: match_arg = proper_item.last_known_value.value elif isinstance(proper_item, LiteralType): match_arg = proper_item.value assert isinstance(match_arg, str), f"Unrecognized __match_args__ item: {item}" match_args.append(match_arg) return match_args ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/missingtypevisitor.py0000644000175100017510000000127315112307767021422 0ustar00runnerrunnerfrom __future__ import annotations from mypy.nodes import Expression, Node from mypy.traverser import ExtendedTraverserVisitor from mypy.types import AnyType, Type, TypeOfAny class MissingTypesVisitor(ExtendedTraverserVisitor): """AST visitor that can be used to add any missing types as a generic AnyType.""" def __init__(self, types: dict[Expression, Type]) -> None: super().__init__() self.types: dict[Expression, Type] = types def visit(self, o: Node) -> bool: if isinstance(o, Expression) and o not in self.types: self.types[o] = AnyType(TypeOfAny.special_form) # If returns True, will continue to nested nodes. return True ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/nonlocalcontrol.py0000644000175100017510000001752715112307767020646 0ustar00runnerrunner"""Helpers for dealing with nonlocal control such as 'break' and 'return'. Model how these behave differently in different contexts. """ from __future__ import annotations from abc import abstractmethod from typing import TYPE_CHECKING from mypyc.ir.ops import ( NO_TRACEBACK_LINE_NO, BasicBlock, Branch, Goto, Integer, Register, Return, SetMem, Unreachable, Value, ) from mypyc.ir.rtypes import object_rprimitive from mypyc.irbuild.targets import AssignmentTarget from mypyc.primitives.exc_ops import restore_exc_info_op, set_stop_iteration_value if TYPE_CHECKING: from mypyc.irbuild.builder import IRBuilder class NonlocalControl: """ABC representing a stack frame of constructs that modify nonlocal control flow. The nonlocal control flow constructs are break, continue, and return, and their behavior is modified by a number of other constructs. The most obvious is loop, which override where break and continue jump to, but also `except` (which needs to clear exc_info when left) and (eventually) finally blocks (which need to ensure that the finally block is always executed when leaving the try/except blocks). """ @abstractmethod def gen_break(self, builder: IRBuilder, line: int) -> None: pass @abstractmethod def gen_continue(self, builder: IRBuilder, line: int) -> None: pass @abstractmethod def gen_return(self, builder: IRBuilder, value: Value, line: int) -> None: pass class BaseNonlocalControl(NonlocalControl): """Default nonlocal control outside any statements that affect it.""" def gen_break(self, builder: IRBuilder, line: int) -> None: assert False, "break outside of loop" def gen_continue(self, builder: IRBuilder, line: int) -> None: assert False, "continue outside of loop" def gen_return(self, builder: IRBuilder, value: Value, line: int) -> None: builder.add(Return(value)) class LoopNonlocalControl(NonlocalControl): """Nonlocal control within a loop.""" def __init__( self, outer: NonlocalControl, continue_block: BasicBlock, break_block: BasicBlock ) -> None: self.outer = outer self.continue_block = continue_block self.break_block = break_block def gen_break(self, builder: IRBuilder, line: int) -> None: builder.add(Goto(self.break_block)) def gen_continue(self, builder: IRBuilder, line: int) -> None: builder.add(Goto(self.continue_block)) def gen_return(self, builder: IRBuilder, value: Value, line: int) -> None: self.outer.gen_return(builder, value, line) class GeneratorNonlocalControl(BaseNonlocalControl): """Default nonlocal control in a generator function outside statements.""" def gen_return(self, builder: IRBuilder, value: Value, line: int) -> None: # Assign an invalid next label number so that the next time # __next__ is called, we jump to the case in which # StopIteration is raised. builder.assign(builder.fn_info.generator_class.next_label_target, Integer(-1), line) # Raise a StopIteration containing a field for the value that # should be returned. Before doing so, create a new block # without an error handler set so that the implicitly thrown # StopIteration isn't caught by except blocks inside of the # generator function. builder.builder.push_error_handler(None) builder.goto_and_activate(BasicBlock()) # Skip creating a traceback frame when we raise here, because # we don't care about the traceback frame and it is kind of # expensive since raising StopIteration is an extremely common # case. Also we call a special internal function to set # StopIteration instead of using RaiseStandardError because # the obvious thing doesn't work if the value is a tuple # (???). true, false = BasicBlock(), BasicBlock() stop_iter_reg = builder.fn_info.generator_class.stop_iter_value_reg assert stop_iter_reg is not None builder.add(Branch(stop_iter_reg, true, false, Branch.IS_ERROR)) builder.activate_block(true) # The default/slow path is to raise a StopIteration exception with # return value. builder.call_c(set_stop_iteration_value, [value], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) builder.builder.pop_error_handler() builder.activate_block(false) # The fast path is to store return value via caller-provided pointer # instead of raising an exception. This can only be used when the # caller is a native function. builder.add(SetMem(object_rprimitive, stop_iter_reg, value)) builder.add(Return(Integer(0, object_rprimitive))) class CleanupNonlocalControl(NonlocalControl): """Abstract nonlocal control that runs some cleanup code.""" def __init__(self, outer: NonlocalControl) -> None: self.outer = outer @abstractmethod def gen_cleanup(self, builder: IRBuilder, line: int) -> None: ... def gen_break(self, builder: IRBuilder, line: int) -> None: self.gen_cleanup(builder, line) self.outer.gen_break(builder, line) def gen_continue(self, builder: IRBuilder, line: int) -> None: self.gen_cleanup(builder, line) self.outer.gen_continue(builder, line) def gen_return(self, builder: IRBuilder, value: Value, line: int) -> None: self.gen_cleanup(builder, line) self.outer.gen_return(builder, value, line) class TryFinallyNonlocalControl(NonlocalControl): """Nonlocal control within try/finally.""" def __init__(self, target: BasicBlock) -> None: self.target = target self.ret_reg: None | Register | AssignmentTarget = None def gen_break(self, builder: IRBuilder, line: int) -> None: builder.error("break inside try/finally block is unimplemented", line) def gen_continue(self, builder: IRBuilder, line: int) -> None: builder.error("continue inside try/finally block is unimplemented", line) def gen_return(self, builder: IRBuilder, value: Value, line: int) -> None: if self.ret_reg is None: if builder.fn_info.is_generator: self.ret_reg = builder.make_spill_target(builder.ret_types[-1]) else: self.ret_reg = Register(builder.ret_types[-1]) # assert needed because of apparent mypy bug... it loses track of the union # and infers the type as object assert isinstance(self.ret_reg, (Register, AssignmentTarget)), self.ret_reg builder.assign(self.ret_reg, value, line) builder.add(Goto(self.target)) class ExceptNonlocalControl(CleanupNonlocalControl): """Nonlocal control for except blocks. Just makes sure that sys.exc_info always gets restored when we leave. This is super annoying. """ def __init__(self, outer: NonlocalControl, saved: Value | AssignmentTarget) -> None: super().__init__(outer) self.saved = saved def gen_cleanup(self, builder: IRBuilder, line: int) -> None: builder.call_c(restore_exc_info_op, [builder.read(self.saved)], line) class FinallyNonlocalControl(CleanupNonlocalControl): """Nonlocal control for finally blocks. Just makes sure that sys.exc_info always gets restored when we leave and the return register is decrefed if it isn't null. """ def __init__(self, outer: NonlocalControl, saved: Value) -> None: super().__init__(outer) self.saved = saved def gen_cleanup(self, builder: IRBuilder, line: int) -> None: # Restore the old exc_info target, cleanup = BasicBlock(), BasicBlock() builder.add(Branch(self.saved, target, cleanup, Branch.IS_ERROR)) builder.activate_block(cleanup) builder.call_c(restore_exc_info_op, [self.saved], line) builder.goto_and_activate(target) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/prebuildvisitor.py0000644000175100017510000002067415112307767020663 0ustar00runnerrunnerfrom __future__ import annotations from mypy.nodes import ( AssignmentStmt, Block, Decorator, Expression, FuncDef, FuncItem, Import, LambdaExpr, MemberExpr, MypyFile, NameExpr, Node, SymbolNode, Var, ) from mypy.traverser import ExtendedTraverserVisitor from mypy.types import Type from mypyc.errors import Errors from mypyc.irbuild.missingtypevisitor import MissingTypesVisitor class PreBuildVisitor(ExtendedTraverserVisitor): """Mypy file AST visitor run before building the IR. This collects various things, including: * Determine relationships between nested functions and functions that contain nested functions * Find non-local variables (free variables) * Find property setters * Find decorators of functions * Find module import groups The main IR build pass uses this information. """ def __init__( self, errors: Errors, current_file: MypyFile, decorators_to_remove: dict[FuncDef, list[int]], types: dict[Expression, Type], ) -> None: super().__init__() # Dict from a function to symbols defined directly in the # function that are used as non-local (free) variables within a # nested function. self.free_variables: dict[FuncItem, set[SymbolNode]] = {} # Intermediate data structure used to find the function where # a SymbolNode is declared. Initially this may point to a # function nested inside the function with the declaration, # but we'll eventually update this to refer to the function # with the declaration. self.symbols_to_funcs: dict[SymbolNode, FuncItem] = {} # Stack representing current function nesting. self.funcs: list[FuncItem] = [] # All property setters encountered so far. self.prop_setters: set[FuncDef] = set() # A map from any function that contains nested functions to # a set of all the functions that are nested within it. self.encapsulating_funcs: dict[FuncItem, list[FuncItem]] = {} # Map nested function to its parent/encapsulating function. self.nested_funcs: dict[FuncItem, FuncItem] = {} # Map function to its non-special decorators. self.funcs_to_decorators: dict[FuncDef, list[Expression]] = {} # Map function to indices of decorators to remove self.decorators_to_remove: dict[FuncDef, list[int]] = decorators_to_remove # A mapping of import groups (a series of Import nodes with # nothing in between) where each group is keyed by its first # import node. self.module_import_groups: dict[Import, list[Import]] = {} self._current_import_group: Import | None = None self.errors: Errors = errors self.current_file: MypyFile = current_file self.missing_types_visitor = MissingTypesVisitor(types) def visit(self, o: Node) -> bool: if not isinstance(o, Import): self._current_import_group = None return True def visit_assignment_stmt(self, stmt: AssignmentStmt) -> None: # These are cases where mypy may not have types for certain expressions, # but mypyc needs some form type to exist. if stmt.is_alias_def: stmt.rvalue.accept(self.missing_types_visitor) return super().visit_assignment_stmt(stmt) def visit_block(self, block: Block) -> None: self._current_import_group = None super().visit_block(block) self._current_import_group = None def visit_decorator(self, dec: Decorator) -> None: if dec.decorators: # Only add the function being decorated if there exist # (ordinary) decorators in the decorator list. Certain # decorators (such as @property, @abstractmethod) are # special cased and removed from this list by # mypy. Functions decorated only by special decorators # (and property setters) are not treated as decorated # functions by the IR builder. if isinstance(dec.decorators[0], MemberExpr) and dec.decorators[0].name == "setter": # Property setters are not treated as decorated methods. self.prop_setters.add(dec.func) else: decorators_to_store = dec.decorators.copy() if dec.func in self.decorators_to_remove: to_remove = self.decorators_to_remove[dec.func] for i in reversed(to_remove): del decorators_to_store[i] # if all of the decorators are removed, we shouldn't treat this as a decorated # function because there aren't any decorators to apply if not decorators_to_store: return self.funcs_to_decorators[dec.func] = decorators_to_store super().visit_decorator(dec) def visit_func_def(self, fdef: FuncDef) -> None: # TODO: What about overloaded functions? self.visit_func(fdef) self.visit_symbol_node(fdef) def visit_lambda_expr(self, expr: LambdaExpr) -> None: self.visit_func(expr) def visit_func(self, func: FuncItem) -> None: # If there were already functions or lambda expressions # defined in the function stack, then note the previous # FuncItem as containing a nested function and the current # FuncItem as being a nested function. if self.funcs: # Add the new func to the set of nested funcs within the # func at top of the func stack. self.encapsulating_funcs.setdefault(self.funcs[-1], []).append(func) # Add the func at top of the func stack as the parent of # new func. self.nested_funcs[func] = self.funcs[-1] self.funcs.append(func) super().visit_func(func) self.funcs.pop() def visit_import(self, imp: Import) -> None: if self._current_import_group is not None: self.module_import_groups[self._current_import_group].append(imp) else: self.module_import_groups[imp] = [imp] self._current_import_group = imp super().visit_import(imp) def visit_name_expr(self, expr: NameExpr) -> None: if isinstance(expr.node, (Var, FuncDef)): self.visit_symbol_node(expr.node) def visit_var(self, var: Var) -> None: self.visit_symbol_node(var) def visit_symbol_node(self, symbol: SymbolNode) -> None: if not self.funcs: # We are not inside a function and hence do not need to do # anything regarding free variables. return if symbol in self.symbols_to_funcs: orig_func = self.symbols_to_funcs[symbol] if self.is_parent(self.funcs[-1], orig_func): # The function in which the symbol was previously seen is # nested within the function currently being visited. Thus # the current function is a better candidate to contain the # declaration. self.symbols_to_funcs[symbol] = self.funcs[-1] # TODO: Remove from the orig_func free_variables set? self.free_variables.setdefault(self.funcs[-1], set()).add(symbol) elif self.is_parent(orig_func, self.funcs[-1]): # The SymbolNode instance has already been visited # before in a parent function, thus it's a non-local # symbol. self.add_free_variable(symbol) else: # This is the first time the SymbolNode is being # visited. We map the SymbolNode to the current FuncDef # being visited to note where it was first visited. self.symbols_to_funcs[symbol] = self.funcs[-1] def is_parent(self, fitem: FuncItem, child: FuncItem) -> bool: # Check if child is nested within fdef (possibly indirectly # within multiple nested functions). if child not in self.nested_funcs: return False parent = self.nested_funcs[child] return parent == fitem or self.is_parent(fitem, parent) def add_free_variable(self, symbol: SymbolNode) -> None: # Find the function where the symbol was (likely) first declared, # and mark is as a non-local symbol within that function. func = self.symbols_to_funcs[symbol] self.free_variables.setdefault(func, set()).add(symbol) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/prepare.py0000644000175100017510000010612515112307767017067 0ustar00runnerrunner"""Prepare for IR transform. This needs to run after type checking and before generating IR. For example, construct partially initialized FuncIR and ClassIR objects for all functions and classes. This allows us to bind references to functions and classes before we've generated full IR for functions or classes. The actual IR transform will then populate all the missing bits, such as function bodies (basic blocks). Also build a mapping from mypy TypeInfos to ClassIR objects. """ from __future__ import annotations from collections import defaultdict from collections.abc import Iterable from typing import Final, NamedTuple from mypy.build import Graph from mypy.nodes import ( ARG_STAR, ARG_STAR2, CallExpr, ClassDef, Decorator, Expression, FuncDef, MemberExpr, MypyFile, NameExpr, OverloadedFuncDef, RefExpr, SymbolNode, TypeInfo, Var, ) from mypy.semanal import refers_to_fullname from mypy.traverser import TraverserVisitor from mypy.types import Instance, Type, get_proper_type from mypyc.common import FAST_PREFIX, PROPSET_PREFIX, SELF_NAME, get_id_from_name from mypyc.crash import catch_errors from mypyc.errors import Errors from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import ( FUNC_CLASSMETHOD, FUNC_NORMAL, FUNC_STATICMETHOD, FuncDecl, FuncSignature, RuntimeArg, ) from mypyc.ir.ops import DeserMaps from mypyc.ir.rtypes import ( RInstance, RType, dict_rprimitive, none_rprimitive, object_pointer_rprimitive, object_rprimitive, tuple_rprimitive, ) from mypyc.irbuild.mapper import Mapper from mypyc.irbuild.util import ( get_func_def, get_mypyc_attrs, is_dataclass, is_extension_class, is_trait, ) from mypyc.options import CompilerOptions from mypyc.sametype import is_same_type GENERATOR_HELPER_NAME: Final = "__mypyc_generator_helper__" def build_type_map( mapper: Mapper, modules: list[MypyFile], graph: Graph, types: dict[Expression, Type], options: CompilerOptions, errors: Errors, ) -> None: # Collect all classes defined in everything we are compiling classes = [] for module in modules: module_classes = [node for node in module.defs if isinstance(node, ClassDef)] classes.extend([(module, cdef) for cdef in module_classes]) # Collect all class mappings so that we can bind arbitrary class name # references even if there are import cycles. for module, cdef in classes: class_ir = ClassIR( cdef.name, module.fullname, is_trait(cdef), is_abstract=cdef.info.is_abstract, is_final_class=cdef.info.is_final, ) class_ir.is_ext_class = is_extension_class(module.path, cdef, errors) if class_ir.is_ext_class: class_ir.deletable = cdef.info.deletable_attributes.copy() # If global optimizations are disabled, turn of tracking of class children if not options.global_opts: class_ir.children = None mapper.type_to_ir[cdef.info] = class_ir mapper.symbol_fullnames.add(class_ir.fullname) class_ir.is_enum = cdef.info.is_enum and len(cdef.info.enum_members) > 0 # Populate structural information in class IR for extension classes. for module, cdef in classes: with catch_errors(module.path, cdef.line): if mapper.type_to_ir[cdef.info].is_ext_class: prepare_class_def(module.path, module.fullname, cdef, errors, mapper, options) else: prepare_non_ext_class_def( module.path, module.fullname, cdef, errors, mapper, options ) # Prepare implicit attribute accessors as needed if an attribute overrides a property. for module, cdef in classes: class_ir = mapper.type_to_ir[cdef.info] if class_ir.is_ext_class: prepare_implicit_property_accessors(cdef.info, class_ir, module.fullname, mapper) # Collect all the functions also. We collect from the symbol table # so that we can easily pick out the right copy of a function that # is conditionally defined. This doesn't include nested functions! for module in modules: for func in get_module_func_defs(module): prepare_func_def(module.fullname, None, func, mapper, options) # TODO: what else? # Check for incompatible attribute definitions that were not # flagged by mypy but can't be supported when compiling. for module, cdef in classes: class_ir = mapper.type_to_ir[cdef.info] for attr in class_ir.attributes: for base_ir in class_ir.mro[1:]: if attr in base_ir.attributes: if not is_same_type(class_ir.attributes[attr], base_ir.attributes[attr]): node = cdef.info.names[attr].node assert node is not None kind = "trait" if base_ir.is_trait else "class" errors.error( f'Type of "{attr}" is incompatible with ' f'definition in {kind} "{base_ir.name}"', module.path, node.line, ) def is_from_module(node: SymbolNode, module: MypyFile) -> bool: return node.fullname == module.fullname + "." + node.name def load_type_map(mapper: Mapper, modules: list[MypyFile], deser_ctx: DeserMaps) -> None: """Populate a Mapper with deserialized IR from a list of modules.""" for module in modules: for node in module.names.values(): if ( isinstance(node.node, TypeInfo) and is_from_module(node.node, module) and not node.node.is_newtype and not node.node.is_named_tuple and node.node.typeddict_type is None ): ir = deser_ctx.classes[node.node.fullname] mapper.type_to_ir[node.node] = ir mapper.symbol_fullnames.add(node.node.fullname) mapper.func_to_decl[node.node] = ir.ctor for module in modules: for func in get_module_func_defs(module): func_id = get_id_from_name(func.name, func.fullname, func.line) mapper.func_to_decl[func] = deser_ctx.functions[func_id].decl def get_module_func_defs(module: MypyFile) -> Iterable[FuncDef]: """Collect all of the (non-method) functions declared in a module.""" for node in module.names.values(): # We need to filter out functions that are imported or # aliases. The best way to do this seems to be by # checking that the fullname matches. if isinstance(node.node, (FuncDef, Decorator, OverloadedFuncDef)) and is_from_module( node.node, module ): yield get_func_def(node.node) def prepare_func_def( module_name: str, class_name: str | None, fdef: FuncDef, mapper: Mapper, options: CompilerOptions, ) -> FuncDecl: kind = ( FUNC_CLASSMETHOD if fdef.is_class else (FUNC_STATICMETHOD if fdef.is_static else FUNC_NORMAL) ) sig = mapper.fdef_to_sig(fdef, options.strict_dunders_typing) decl = FuncDecl( fdef.name, class_name, module_name, sig, kind, is_generator=fdef.is_generator, is_coroutine=fdef.is_coroutine, ) mapper.func_to_decl[fdef] = decl return decl def create_generator_class_for_func( module_name: str, class_name: str | None, fdef: FuncDef, mapper: Mapper, name_suffix: str = "" ) -> ClassIR: """For a generator/async function, declare a generator class. Each generator and async function gets a dedicated class that implements the generator protocol with generated methods. """ assert fdef.is_coroutine or fdef.is_generator name = "_".join(x for x in [fdef.name, class_name] if x) + "_gen" + name_suffix cir = ClassIR(name, module_name, is_generated=True, is_final_class=class_name is None) cir.reuse_freed_instance = True mapper.fdef_to_generator[fdef] = cir helper_sig = FuncSignature( ( RuntimeArg(SELF_NAME, object_rprimitive), RuntimeArg("type", object_rprimitive), RuntimeArg("value", object_rprimitive), RuntimeArg("traceback", object_rprimitive), RuntimeArg("arg", object_rprimitive), # If non-NULL, used to store return value instead of raising StopIteration(retv) RuntimeArg("stop_iter_ptr", object_pointer_rprimitive), ), object_rprimitive, ) # The implementation of most generator functionality is behind this magic method. helper_fn_decl = FuncDecl(GENERATOR_HELPER_NAME, name, module_name, helper_sig, internal=True) cir.method_decls[helper_fn_decl.name] = helper_fn_decl return cir def prepare_method_def( ir: ClassIR, module_name: str, cdef: ClassDef, mapper: Mapper, node: FuncDef | Decorator, options: CompilerOptions, ) -> None: if isinstance(node, FuncDef): ir.method_decls[node.name] = prepare_func_def( module_name, cdef.name, node, mapper, options ) elif isinstance(node, Decorator): # TODO: do something about abstract methods here. Currently, they are handled just like # normal methods. decl = prepare_func_def(module_name, cdef.name, node.func, mapper, options) if not node.decorators: ir.method_decls[node.name] = decl elif isinstance(node.decorators[0], MemberExpr) and node.decorators[0].name == "setter": # Make property setter name different than getter name so there are no # name clashes when generating C code, and property lookup at the IR level # works correctly. decl.name = PROPSET_PREFIX + decl.name decl.is_prop_setter = True # Making the argument implicitly positional-only avoids unnecessary glue methods decl.sig.args[1].pos_only = True ir.method_decls[PROPSET_PREFIX + node.name] = decl if node.func.is_property: assert node.func.type, f"Expected return type annotation for property '{node.name}'" decl.is_prop_getter = True ir.property_types[node.name] = decl.sig.ret_type def prepare_fast_path( ir: ClassIR, module_name: str, cdef: ClassDef, mapper: Mapper, node: SymbolNode | None, options: CompilerOptions, ) -> None: """Add fast (direct) variants of methods in non-extension classes.""" if ir.is_enum: # We check that non-empty enums are implicitly final in mypy, so we # can generate direct calls to enum methods. if isinstance(node, OverloadedFuncDef): if node.is_property: return node = node.impl if not isinstance(node, FuncDef): # TODO: support decorated methods (at least @classmethod and @staticmethod). return # The simplest case is a regular or overloaded method without decorators. In this # case we can generate practically identical IR method body, but with a signature # suitable for direct calls (usual non-extension class methods are converted to # callable classes, and thus have an extra __mypyc_self__ argument). name = FAST_PREFIX + node.name sig = mapper.fdef_to_sig(node, options.strict_dunders_typing) decl = FuncDecl(name, cdef.name, module_name, sig, FUNC_NORMAL) ir.method_decls[name] = decl return def is_valid_multipart_property_def(prop: OverloadedFuncDef) -> bool: # Checks to ensure supported property decorator semantics if len(prop.items) != 2: return False getter = prop.items[0] setter = prop.items[1] return ( isinstance(getter, Decorator) and isinstance(setter, Decorator) and getter.func.is_property and len(setter.decorators) == 1 and isinstance(setter.decorators[0], MemberExpr) and setter.decorators[0].name == "setter" ) def can_subclass_builtin(builtin_base: str) -> bool: # BaseException and dict are special cased. return builtin_base in ( ( "builtins.Exception", "builtins.LookupError", "builtins.IndexError", "builtins.Warning", "builtins.UserWarning", "builtins.ValueError", "builtins.object", ) ) def prepare_class_def( path: str, module_name: str, cdef: ClassDef, errors: Errors, mapper: Mapper, options: CompilerOptions, ) -> None: """Populate the interface-level information in a class IR. This includes attribute and method declarations, and the MRO, among other things, but method bodies are generated in a later pass. """ ir = mapper.type_to_ir[cdef.info] info = cdef.info attrs, attrs_lines = get_mypyc_attrs(cdef, path, errors) if attrs.get("allow_interpreted_subclasses") is True: ir.allow_interpreted_subclasses = True if attrs.get("serializable") is True: # Supports copy.copy and pickle (including subclasses) ir._serializable = True free_list_len = attrs.get("free_list_len") if free_list_len is not None: line = attrs_lines["free_list_len"] if ir.is_trait: errors.error('"free_list_len" can\'t be used with traits', path, line) if ir.allow_interpreted_subclasses: errors.error( '"free_list_len" can\'t be used in a class that allows interpreted subclasses', path, line, ) if free_list_len == 1: ir.reuse_freed_instance = True else: errors.error(f'Unsupported value for "free_list_len": {free_list_len}', path, line) # Check for subclassing from builtin types for cls in info.mro: # Special case exceptions and dicts # XXX: How do we handle *other* things?? if cls.fullname == "builtins.BaseException": ir.builtin_base = "PyBaseExceptionObject" elif cls.fullname == "builtins.dict": ir.builtin_base = "PyDictObject" elif cls.fullname.startswith("builtins."): if not can_subclass_builtin(cls.fullname): # Note that if we try to subclass a C extension class that # isn't in builtins, bad things will happen and we won't # catch it here! But this should catch a lot of the most # common pitfalls. errors.error( "Inheriting from most builtin types is unimplemented", path, cdef.line ) errors.note( "Potential workaround: @mypy_extensions.mypyc_attr(native_class=False)", path, cdef.line, ) errors.note( "https://mypyc.readthedocs.io/en/stable/native_classes.html#defining-non-native-classes", path, cdef.line, ) # Set up the parent class bases = [mapper.type_to_ir[base.type] for base in info.bases if base.type in mapper.type_to_ir] if len(bases) > 1 and any(not c.is_trait for c in bases) and bases[0].is_trait: # If the first base is a non-trait, don't ever error here. While it is correct # to error if a trait comes before the next non-trait base (e.g. non-trait, trait, # non-trait), it's pointless, confusing noise from the bigger issue: multiple # inheritance is *not* supported. errors.error("Non-trait base must appear first in parent list", path, cdef.line) ir.traits = [c for c in bases if c.is_trait] mro = [] # All mypyc base classes base_mro = [] # Non-trait mypyc base classes for cls in info.mro: if cls not in mapper.type_to_ir: if cls.fullname != "builtins.object": ir.inherits_python = True continue base_ir = mapper.type_to_ir[cls] if not base_ir.is_trait: base_mro.append(base_ir) mro.append(base_ir) if cls.defn.removed_base_type_exprs or not base_ir.is_ext_class: ir.inherits_python = True base_idx = 1 if not ir.is_trait else 0 if len(base_mro) > base_idx: ir.base = base_mro[base_idx] ir.mro = mro ir.base_mro = base_mro prepare_methods_and_attributes(cdef, ir, path, module_name, errors, mapper, options) prepare_init_method(cdef, ir, module_name, mapper) for base in bases: if base.children is not None: base.children.append(ir) if is_dataclass(cdef): ir.is_augmented = True def prepare_methods_and_attributes( cdef: ClassDef, ir: ClassIR, path: str, module_name: str, errors: Errors, mapper: Mapper, options: CompilerOptions, ) -> None: """Populate attribute and method declarations.""" info = cdef.info for name, node in info.names.items(): # Currently all plugin generated methods are dummies and not included. if node.plugin_generated: continue if isinstance(node.node, Var): assert node.node.type, "Class member %s missing type" % name if not node.node.is_classvar and name not in ("__slots__", "__deletable__"): attr_rtype = mapper.type_to_rtype(node.node.type) if ir.is_trait and attr_rtype.error_overlap: # Traits don't have attribute definedness bitmaps, so use # property accessor methods to access attributes that need them. # We will generate accessor implementations that use the class bitmap # for any concrete subclasses. add_getter_declaration(ir, name, attr_rtype, module_name) add_setter_declaration(ir, name, attr_rtype, module_name) ir.attributes[name] = attr_rtype elif isinstance(node.node, (FuncDef, Decorator)): prepare_method_def(ir, module_name, cdef, mapper, node.node, options) elif isinstance(node.node, OverloadedFuncDef): # Handle case for property with both a getter and a setter if node.node.is_property: if is_valid_multipart_property_def(node.node): for item in node.node.items: prepare_method_def(ir, module_name, cdef, mapper, item, options) else: errors.error("Unsupported property decorator semantics", path, cdef.line) # Handle case for regular function overload else: if not node.node.impl: errors.error( "Overloads without implementation are not supported", path, cdef.line ) else: prepare_method_def(ir, module_name, cdef, mapper, node.node.impl, options) if ir.builtin_base: ir.attributes.clear() def prepare_implicit_property_accessors( info: TypeInfo, ir: ClassIR, module_name: str, mapper: Mapper ) -> None: concrete_attributes = set() for base in ir.base_mro: for name, attr_rtype in base.attributes.items(): concrete_attributes.add(name) add_property_methods_for_attribute_if_needed( info, ir, name, attr_rtype, module_name, mapper ) for base in ir.mro[1:]: if base.is_trait: for name, attr_rtype in base.attributes.items(): if name not in concrete_attributes: add_property_methods_for_attribute_if_needed( info, ir, name, attr_rtype, module_name, mapper ) def add_property_methods_for_attribute_if_needed( info: TypeInfo, ir: ClassIR, attr_name: str, attr_rtype: RType, module_name: str, mapper: Mapper, ) -> None: """Add getter and/or setter for attribute if defined as property in a base class. Only add declarations. The body IR will be synthesized later during irbuild. """ for base in info.mro[1:]: if base in mapper.type_to_ir: base_ir = mapper.type_to_ir[base] n = base.names.get(attr_name) if n is None: continue node = n.node if isinstance(node, Decorator) and node.name not in ir.method_decls: # Defined as a read-only property in base class/trait add_getter_declaration(ir, attr_name, attr_rtype, module_name) elif isinstance(node, OverloadedFuncDef) and is_valid_multipart_property_def(node): # Defined as a read-write property in base class/trait add_getter_declaration(ir, attr_name, attr_rtype, module_name) add_setter_declaration(ir, attr_name, attr_rtype, module_name) elif base_ir.is_trait and attr_rtype.error_overlap: add_getter_declaration(ir, attr_name, attr_rtype, module_name) add_setter_declaration(ir, attr_name, attr_rtype, module_name) def add_getter_declaration( ir: ClassIR, attr_name: str, attr_rtype: RType, module_name: str ) -> None: self_arg = RuntimeArg("self", RInstance(ir), pos_only=True) sig = FuncSignature([self_arg], attr_rtype) decl = FuncDecl(attr_name, ir.name, module_name, sig, FUNC_NORMAL) decl.is_prop_getter = True decl.implicit = True # Triggers synthesization ir.method_decls[attr_name] = decl ir.property_types[attr_name] = attr_rtype # TODO: Needed?? def add_setter_declaration( ir: ClassIR, attr_name: str, attr_rtype: RType, module_name: str ) -> None: self_arg = RuntimeArg("self", RInstance(ir), pos_only=True) value_arg = RuntimeArg("value", attr_rtype, pos_only=True) sig = FuncSignature([self_arg, value_arg], none_rprimitive) setter_name = PROPSET_PREFIX + attr_name decl = FuncDecl(setter_name, ir.name, module_name, sig, FUNC_NORMAL) decl.is_prop_setter = True decl.implicit = True # Triggers synthesization ir.method_decls[setter_name] = decl def check_matching_args(init_sig: FuncSignature, new_sig: FuncSignature) -> bool: num_init_args = len(init_sig.args) - init_sig.num_bitmap_args num_new_args = len(new_sig.args) - new_sig.num_bitmap_args if num_init_args != num_new_args: return False for idx in range(1, num_init_args): init_arg = init_sig.args[idx] new_arg = new_sig.args[idx] if init_arg.type != new_arg.type: return False if init_arg.kind != new_arg.kind: return False return True def prepare_init_method(cdef: ClassDef, ir: ClassIR, module_name: str, mapper: Mapper) -> None: # Set up a constructor decl init_node = cdef.info["__init__"].node new_node: SymbolNode | None = None new_symbol = cdef.info.get("__new__") # We are only interested in __new__ method defined in a user-defined class, # so we ignore it if it comes from a builtin type. It's usually builtins.object # but could also be builtins.type for metaclasses so we detect the prefix which # matches both. if new_symbol and new_symbol.fullname and not new_symbol.fullname.startswith("builtins."): new_node = new_symbol.node if isinstance(new_node, (Decorator, OverloadedFuncDef)): new_node = get_func_def(new_node) if not ir.is_trait and not ir.builtin_base and isinstance(init_node, FuncDef): init_sig = mapper.fdef_to_sig(init_node, True) args_match = True if isinstance(new_node, FuncDef): new_sig = mapper.fdef_to_sig(new_node, True) args_match = check_matching_args(init_sig, new_sig) defining_ir = mapper.type_to_ir.get(init_node.info) # If there is a nontrivial __init__ that wasn't defined in an # extension class, we need to make the constructor take *args, # **kwargs so it can call tp_init. if ( ( defining_ir is None or not defining_ir.is_ext_class or cdef.info["__init__"].plugin_generated ) and init_node.info.fullname != "builtins.object" ) or not args_match: init_sig = FuncSignature( [ init_sig.args[0], RuntimeArg("args", tuple_rprimitive, ARG_STAR), RuntimeArg("kwargs", dict_rprimitive, ARG_STAR2), ], init_sig.ret_type, ) last_arg = len(init_sig.args) - init_sig.num_bitmap_args ctor_sig = FuncSignature(init_sig.args[1:last_arg], RInstance(ir)) ir.ctor = FuncDecl(cdef.name, None, module_name, ctor_sig) mapper.func_to_decl[cdef.info] = ir.ctor def prepare_non_ext_class_def( path: str, module_name: str, cdef: ClassDef, errors: Errors, mapper: Mapper, options: CompilerOptions, ) -> None: ir = mapper.type_to_ir[cdef.info] info = cdef.info for node in info.names.values(): if isinstance(node.node, (FuncDef, Decorator)): prepare_method_def(ir, module_name, cdef, mapper, node.node, options) elif isinstance(node.node, OverloadedFuncDef): # Handle case for property with both a getter and a setter if node.node.is_property: if not is_valid_multipart_property_def(node.node): errors.error("Unsupported property decorator semantics", path, cdef.line) for item in node.node.items: prepare_method_def(ir, module_name, cdef, mapper, item, options) # Handle case for regular function overload else: prepare_method_def(ir, module_name, cdef, mapper, get_func_def(node.node), options) prepare_fast_path(ir, module_name, cdef, mapper, node.node, options) if any(cls in mapper.type_to_ir and mapper.type_to_ir[cls].is_ext_class for cls in info.mro): errors.error( "Non-extension classes may not inherit from extension classes", path, cdef.line ) RegisterImplInfo = tuple[TypeInfo, FuncDef] class SingledispatchInfo(NamedTuple): singledispatch_impls: dict[FuncDef, list[RegisterImplInfo]] decorators_to_remove: dict[FuncDef, list[int]] def find_singledispatch_register_impls( modules: list[MypyFile], errors: Errors ) -> SingledispatchInfo: visitor = SingledispatchVisitor(errors) for module in modules: visitor.current_path = module.path module.accept(visitor) return SingledispatchInfo(visitor.singledispatch_impls, visitor.decorators_to_remove) class SingledispatchVisitor(TraverserVisitor): current_path: str def __init__(self, errors: Errors) -> None: super().__init__() # Map of main singledispatch function to list of registered implementations self.singledispatch_impls: defaultdict[FuncDef, list[RegisterImplInfo]] = defaultdict(list) # Map of decorated function to the indices of any decorators to remove self.decorators_to_remove: dict[FuncDef, list[int]] = {} self.errors: Errors = errors self.func_stack_depth = 0 def visit_func_def(self, o: FuncDef) -> None: self.func_stack_depth += 1 super().visit_func_def(o) self.func_stack_depth -= 1 def visit_decorator(self, dec: Decorator) -> None: if dec.decorators: decorators_to_store = dec.decorators.copy() decorators_to_remove: list[int] = [] # the index of the last non-register decorator before finding a register decorator # when going through decorators from top to bottom last_non_register: int | None = None for i, d in enumerate(decorators_to_store): impl = get_singledispatch_register_call_info(d, dec.func) if impl is not None: if self.func_stack_depth > 0: self.errors.error( "Registering nested functions not supported", self.current_path, d.line ) self.singledispatch_impls[impl.singledispatch_func].append( (impl.dispatch_type, dec.func) ) decorators_to_remove.append(i) if last_non_register is not None: # found a register decorator after a non-register decorator, which we # don't support because we'd have to make a copy of the function before # calling the decorator so that we can call it later, which complicates # the implementation for something that is probably not commonly used self.errors.error( "Calling decorator after registering function not supported", self.current_path, decorators_to_store[last_non_register].line, ) else: if refers_to_fullname(d, "functools.singledispatch"): if self.func_stack_depth > 0: self.errors.error( "Nested singledispatch functions not supported", self.current_path, d.line, ) decorators_to_remove.append(i) # make sure that we still treat the function as a singledispatch function # even if we don't find any registered implementations (which might happen # if all registered implementations are registered dynamically) self.singledispatch_impls.setdefault(dec.func, []) last_non_register = i if decorators_to_remove: # calling register on a function that tries to dispatch based on type annotations # raises a TypeError because compiled functions don't have an __annotations__ # attribute self.decorators_to_remove[dec.func] = decorators_to_remove super().visit_decorator(dec) class RegisteredImpl(NamedTuple): singledispatch_func: FuncDef dispatch_type: TypeInfo def get_singledispatch_register_call_info( decorator: Expression, func: FuncDef ) -> RegisteredImpl | None: # @fun.register(complex) # def g(arg): ... if ( isinstance(decorator, CallExpr) and len(decorator.args) == 1 and isinstance(decorator.args[0], RefExpr) ): callee = decorator.callee dispatch_type = decorator.args[0].node if not isinstance(dispatch_type, TypeInfo): return None if isinstance(callee, MemberExpr): return registered_impl_from_possible_register_call(callee, dispatch_type) # @fun.register # def g(arg: int): ... elif isinstance(decorator, MemberExpr): # we don't know if this is a register call yet, so we can't be sure that the function # actually has arguments if not func.arguments: return None arg_type = get_proper_type(func.arguments[0].variable.type) if not isinstance(arg_type, Instance): return None info = arg_type.type return registered_impl_from_possible_register_call(decorator, info) return None def registered_impl_from_possible_register_call( expr: MemberExpr, dispatch_type: TypeInfo ) -> RegisteredImpl | None: if expr.name == "register" and isinstance(expr.expr, NameExpr): node = expr.expr.node if isinstance(node, Decorator): return RegisteredImpl(node.func, dispatch_type) return None def adjust_generator_classes_of_methods(mapper: Mapper) -> None: """Make optimizations and adjustments to generated generator classes of methods. This is a separate pass after type map has been built, since we need all classes to be processed to analyze class hierarchies. """ generator_methods = [] for fdef, fn_ir in mapper.func_to_decl.items(): if isinstance(fdef, FuncDef) and (fdef.is_coroutine or fdef.is_generator): gen_ir = create_generator_class_for_func( fn_ir.module_name, fn_ir.class_name, fdef, mapper ) # TODO: We could probably support decorators sometimes (static and class method?) if not fdef.is_decorated: name = fn_ir.name precise_ret_type = True if fn_ir.class_name is not None: class_ir = mapper.type_to_ir[fdef.info] subcls = class_ir.subclasses() if subcls is None: # Override could be of a different type, so we can't make assumptions. precise_ret_type = False elif class_ir.is_trait: # Give up on traits. We could possibly have an abstract base class # for generator return types to make this use precise types. precise_ret_type = False else: for s in subcls: if name in s.method_decls: m = s.method_decls[name] if ( m.is_generator != fn_ir.is_generator or m.is_coroutine != fn_ir.is_coroutine ): # Override is of a different kind, and the optimization # to use a precise generator return type doesn't work. precise_ret_type = False else: class_ir = None if precise_ret_type: # Give a more precise type for generators, so that we can optimize # code that uses them. They return a generator object, which has a # specific class. Without this, the type would have to be 'object'. fn_ir.sig.ret_type = RInstance(gen_ir) if fn_ir.bound_sig: fn_ir.bound_sig.ret_type = RInstance(gen_ir) if class_ir is not None: if class_ir.is_method_final(name): gen_ir.is_final_class = True generator_methods.append((name, class_ir, gen_ir)) new_bases = {} for name, class_ir, gen in generator_methods: # For generator methods, we need to have subclass generator classes inherit from # baseclass generator classes when there are overrides to maintain LSP. base = class_ir.real_base() if base is not None: if base.has_method(name): base_sig = base.method_sig(name) if isinstance(base_sig.ret_type, RInstance): base_gen = base_sig.ret_type.class_ir new_bases[gen] = base_gen # Add generator inheritance relationships by adjusting MROs. for deriv, base in new_bases.items(): if base.children is not None: base.children.append(deriv) while True: deriv.mro.append(base) deriv.base_mro.append(base) if base not in new_bases: break base = new_bases[base] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/specialize.py0000644000175100017510000012135415112307767017562 0ustar00runnerrunner"""Special case IR generation of calls to specific builtin functions. Most special cases should be handled using the data driven "primitive ops" system, but certain operations require special handling that has access to the AST/IR directly and can make decisions/optimizations based on it. These special cases can be implemented here. For example, we use specializers to statically emit the length of a fixed length tuple and to emit optimized code for any()/all() calls with generator comprehensions as the argument. See comment below for more documentation. """ from __future__ import annotations from typing import Callable, Final, Optional, cast from mypy.nodes import ( ARG_NAMED, ARG_POS, CallExpr, DictExpr, Expression, GeneratorExpr, IntExpr, ListExpr, MemberExpr, NameExpr, RefExpr, StrExpr, SuperExpr, TupleExpr, Var, ) from mypy.types import AnyType, TypeOfAny from mypyc.ir.ops import ( BasicBlock, Call, Extend, Integer, PrimitiveDescription, RaiseStandardError, Register, SetAttr, Truncate, Unreachable, Value, ) from mypyc.ir.rtypes import ( RInstance, RPrimitive, RTuple, RType, bool_rprimitive, bytes_rprimitive, c_int_rprimitive, dict_rprimitive, int16_rprimitive, int32_rprimitive, int64_rprimitive, int_rprimitive, is_bool_rprimitive, is_dict_rprimitive, is_fixed_width_rtype, is_float_rprimitive, is_int16_rprimitive, is_int32_rprimitive, is_int64_rprimitive, is_int_rprimitive, is_list_rprimitive, is_uint8_rprimitive, list_rprimitive, object_rprimitive, set_rprimitive, str_rprimitive, uint8_rprimitive, ) from mypyc.irbuild.builder import IRBuilder from mypyc.irbuild.constant_fold import constant_fold_expr from mypyc.irbuild.for_helpers import ( comprehension_helper, sequence_from_generator_preallocate_helper, translate_list_comprehension, translate_set_comprehension, ) from mypyc.irbuild.format_str_tokenizer import ( FormatOp, convert_format_expr_to_str, join_formatted_strings, tokenizer_format_call, ) from mypyc.primitives.bytes_ops import isinstance_bytearray, isinstance_bytes from mypyc.primitives.dict_ops import ( dict_items_op, dict_keys_op, dict_setdefault_spec_init_op, dict_values_op, isinstance_dict, ) from mypyc.primitives.float_ops import isinstance_float from mypyc.primitives.generic_ops import generic_setattr, setup_object from mypyc.primitives.int_ops import isinstance_int from mypyc.primitives.list_ops import isinstance_list, new_list_set_item_op from mypyc.primitives.misc_ops import isinstance_bool from mypyc.primitives.set_ops import isinstance_frozenset, isinstance_set from mypyc.primitives.str_ops import ( bytes_decode_ascii_strict, bytes_decode_latin1_strict, bytes_decode_utf8_strict, isinstance_str, str_encode_ascii_strict, str_encode_latin1_strict, str_encode_utf8_strict, ) from mypyc.primitives.tuple_ops import isinstance_tuple, new_tuple_set_item_op # Specializers are attempted before compiling the arguments to the # function. Specializers can return None to indicate that they failed # and the call should be compiled normally. Otherwise they should emit # code for the call and return a Value containing the result. # # Specializers take three arguments: the IRBuilder, the CallExpr being # compiled, and the RefExpr that is the left hand side of the call. Specializer = Callable[["IRBuilder", CallExpr, RefExpr], Optional[Value]] # Dictionary containing all configured specializers. # # Specializers can operate on methods as well, and are keyed on the # name and RType in that case. specializers: dict[tuple[str, RType | None], list[Specializer]] = {} def _apply_specialization( builder: IRBuilder, expr: CallExpr, callee: RefExpr, name: str | None, typ: RType | None = None ) -> Value | None: # TODO: Allow special cases to have default args or named args. Currently they don't since # they check that everything in arg_kinds is ARG_POS. # If there is a specializer for this function, try calling it. # Return the first successful one. if name and (name, typ) in specializers: for specializer in specializers[name, typ]: val = specializer(builder, expr, callee) if val is not None: return val return None def apply_function_specialization( builder: IRBuilder, expr: CallExpr, callee: RefExpr ) -> Value | None: """Invoke the Specializer callback for a function if one has been registered""" return _apply_specialization(builder, expr, callee, callee.fullname) def apply_method_specialization( builder: IRBuilder, expr: CallExpr, callee: MemberExpr, typ: RType | None = None ) -> Value | None: """Invoke the Specializer callback for a method if one has been registered""" name = callee.fullname if typ is None else callee.name return _apply_specialization(builder, expr, callee, name, typ) def specialize_function( name: str, typ: RType | None = None ) -> Callable[[Specializer], Specializer]: """Decorator to register a function as being a specializer. There may exist multiple specializers for one function. When translating method calls, the earlier appended specializer has higher priority. """ def wrapper(f: Specializer) -> Specializer: specializers.setdefault((name, typ), []).append(f) return f return wrapper @specialize_function("builtins.globals") def translate_globals(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) == 0: return builder.load_globals_dict() return None @specialize_function("builtins.abs") @specialize_function("builtins.int") @specialize_function("builtins.float") @specialize_function("builtins.complex") @specialize_function("mypy_extensions.i64") @specialize_function("mypy_extensions.i32") @specialize_function("mypy_extensions.i16") @specialize_function("mypy_extensions.u8") def translate_builtins_with_unary_dunder( builder: IRBuilder, expr: CallExpr, callee: RefExpr ) -> Value | None: """Specialize calls on native classes that implement the associated dunder. E.g. i64(x) gets specialized to x.__int__() if x is a native instance. """ if len(expr.args) == 1 and expr.arg_kinds == [ARG_POS] and isinstance(callee, NameExpr): arg = expr.args[0] arg_typ = builder.node_type(arg) shortname = callee.fullname.split(".")[1] if shortname in ("i64", "i32", "i16", "u8"): method = "__int__" else: method = f"__{shortname}__" if isinstance(arg_typ, RInstance) and arg_typ.class_ir.has_method(method): obj = builder.accept(arg) return builder.gen_method_call(obj, method, [], None, expr.line) return None @specialize_function("builtins.len") def translate_len(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) == 1 and expr.arg_kinds == [ARG_POS]: arg = expr.args[0] expr_rtype = builder.node_type(arg) if isinstance(expr_rtype, RTuple): # len() of fixed-length tuple can be trivially determined # statically, though we still need to evaluate it. builder.accept(arg) return Integer(len(expr_rtype.types)) else: if is_list_rprimitive(builder.node_type(arg)): borrow = True else: borrow = False obj = builder.accept(arg, can_borrow=borrow) return builder.builtin_len(obj, expr.line) return None @specialize_function("builtins.list") def dict_methods_fast_path(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: """Specialize a common case when list() is called on a dictionary view method call. For example: foo = list(bar.keys()) """ if not (len(expr.args) == 1 and expr.arg_kinds == [ARG_POS]): return None arg = expr.args[0] if not (isinstance(arg, CallExpr) and not arg.args and isinstance(arg.callee, MemberExpr)): return None base = arg.callee.expr attr = arg.callee.name rtype = builder.node_type(base) if not (is_dict_rprimitive(rtype) and attr in ("keys", "values", "items")): return None obj = builder.accept(base) # Note that it is not safe to use fast methods on dict subclasses, # so the corresponding helpers in CPy.h fallback to (inlined) # generic logic. if attr == "keys": return builder.call_c(dict_keys_op, [obj], expr.line) elif attr == "values": return builder.call_c(dict_values_op, [obj], expr.line) else: return builder.call_c(dict_items_op, [obj], expr.line) @specialize_function("builtins.list") def translate_list_from_generator_call( builder: IRBuilder, expr: CallExpr, callee: RefExpr ) -> Value | None: """Special case for simplest list comprehension. For example: list(f(x) for x in some_list/some_tuple/some_str) 'translate_list_comprehension()' would take care of other cases if this fails. """ if ( len(expr.args) == 1 and expr.arg_kinds[0] == ARG_POS and isinstance(expr.args[0], GeneratorExpr) ): return sequence_from_generator_preallocate_helper( builder, expr.args[0], empty_op_llbuilder=builder.builder.new_list_op_with_length, set_item_op=new_list_set_item_op, ) return None @specialize_function("builtins.tuple") def translate_tuple_from_generator_call( builder: IRBuilder, expr: CallExpr, callee: RefExpr ) -> Value | None: """Special case for simplest tuple creation from a generator. For example: tuple(f(x) for x in some_list/some_tuple/some_str/some_bytes) 'translate_safe_generator_call()' would take care of other cases if this fails. """ if ( len(expr.args) == 1 and expr.arg_kinds[0] == ARG_POS and isinstance(expr.args[0], GeneratorExpr) ): return sequence_from_generator_preallocate_helper( builder, expr.args[0], empty_op_llbuilder=builder.builder.new_tuple_with_length, set_item_op=new_tuple_set_item_op, ) return None @specialize_function("builtins.set") def translate_set_from_generator_call( builder: IRBuilder, expr: CallExpr, callee: RefExpr ) -> Value | None: """Special case for set creation from a generator. For example: set(f(...) for ... in iterator/nested_generators...) """ if ( len(expr.args) == 1 and expr.arg_kinds[0] == ARG_POS and isinstance(expr.args[0], GeneratorExpr) ): return translate_set_comprehension(builder, expr.args[0]) return None @specialize_function("builtins.min") @specialize_function("builtins.max") def faster_min_max(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if expr.arg_kinds == [ARG_POS, ARG_POS]: x, y = builder.accept(expr.args[0]), builder.accept(expr.args[1]) result = Register(builder.node_type(expr)) # CPython evaluates arguments reversely when calling min(...) or max(...) if callee.fullname == "builtins.min": comparison = builder.binary_op(y, x, "<", expr.line) else: comparison = builder.binary_op(y, x, ">", expr.line) true_block, false_block, next_block = BasicBlock(), BasicBlock(), BasicBlock() builder.add_bool_branch(comparison, true_block, false_block) builder.activate_block(true_block) builder.assign(result, builder.coerce(y, result.type, expr.line), expr.line) builder.goto(next_block) builder.activate_block(false_block) builder.assign(result, builder.coerce(x, result.type, expr.line), expr.line) builder.goto(next_block) builder.activate_block(next_block) return result return None @specialize_function("builtins.tuple") @specialize_function("builtins.frozenset") @specialize_function("builtins.dict") @specialize_function("builtins.min") @specialize_function("builtins.max") @specialize_function("builtins.sorted") @specialize_function("collections.OrderedDict") @specialize_function("join", str_rprimitive) @specialize_function("extend", list_rprimitive) @specialize_function("update", dict_rprimitive) @specialize_function("update", set_rprimitive) def translate_safe_generator_call( builder: IRBuilder, expr: CallExpr, callee: RefExpr ) -> Value | None: """Special cases for things that consume iterators where we know we can safely compile a generator into a list. """ if ( len(expr.args) > 0 and expr.arg_kinds[0] == ARG_POS and isinstance(expr.args[0], GeneratorExpr) ): if isinstance(callee, MemberExpr): return builder.gen_method_call( builder.accept(callee.expr), callee.name, ( [translate_list_comprehension(builder, expr.args[0])] + [builder.accept(arg) for arg in expr.args[1:]] ), builder.node_type(expr), expr.line, expr.arg_kinds, expr.arg_names, ) else: return builder.call_refexpr_with_args( expr, callee, ( [translate_list_comprehension(builder, expr.args[0])] + [builder.accept(arg) for arg in expr.args[1:]] ), ) return None @specialize_function("builtins.any") def translate_any_call(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if ( len(expr.args) == 1 and expr.arg_kinds == [ARG_POS] and isinstance(expr.args[0], GeneratorExpr) ): return any_all_helper(builder, expr.args[0], builder.false, lambda x: x, builder.true) return None @specialize_function("builtins.all") def translate_all_call(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if ( len(expr.args) == 1 and expr.arg_kinds == [ARG_POS] and isinstance(expr.args[0], GeneratorExpr) ): return any_all_helper( builder, expr.args[0], builder.true, lambda x: builder.unary_op(x, "not", expr.line), builder.false, ) return None def any_all_helper( builder: IRBuilder, gen: GeneratorExpr, initial_value: Callable[[], Value], modify: Callable[[Value], Value], new_value: Callable[[], Value], ) -> Value: retval = Register(bool_rprimitive) builder.assign(retval, initial_value(), -1) loop_params = list(zip(gen.indices, gen.sequences, gen.condlists, gen.is_async)) true_block, false_block, exit_block = BasicBlock(), BasicBlock(), BasicBlock() def gen_inner_stmts() -> None: comparison = modify(builder.accept(gen.left_expr)) builder.add_bool_branch(comparison, true_block, false_block) builder.activate_block(true_block) builder.assign(retval, new_value(), -1) builder.goto(exit_block) builder.activate_block(false_block) comprehension_helper(builder, loop_params, gen_inner_stmts, gen.line) builder.goto_and_activate(exit_block) return retval @specialize_function("builtins.sum") def translate_sum_call(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: # specialized implementation is used if: # - only one or two arguments given (if not, sum() has been given invalid arguments) # - first argument is a Generator (there is no benefit to optimizing the performance of eg. # sum([1, 2, 3]), so non-Generator Iterables are not handled) if not ( len(expr.args) in (1, 2) and expr.arg_kinds[0] == ARG_POS and isinstance(expr.args[0], GeneratorExpr) ): return None # handle 'start' argument, if given if len(expr.args) == 2: # ensure call to sum() was properly constructed if expr.arg_kinds[1] not in (ARG_POS, ARG_NAMED): return None start_expr = expr.args[1] else: start_expr = IntExpr(0) gen_expr = expr.args[0] target_type = builder.node_type(expr) retval = Register(target_type) builder.assign(retval, builder.coerce(builder.accept(start_expr), target_type, -1), -1) def gen_inner_stmts() -> None: call_expr = builder.accept(gen_expr.left_expr) builder.assign(retval, builder.binary_op(retval, call_expr, "+", -1), -1) loop_params = list( zip(gen_expr.indices, gen_expr.sequences, gen_expr.condlists, gen_expr.is_async) ) comprehension_helper(builder, loop_params, gen_inner_stmts, gen_expr.line) return retval @specialize_function("dataclasses.field") @specialize_function("attr.ib") @specialize_function("attr.attrib") @specialize_function("attr.Factory") def translate_dataclasses_field_call( builder: IRBuilder, expr: CallExpr, callee: RefExpr ) -> Value | None: """Special case for 'dataclasses.field', 'attr.attrib', and 'attr.Factory' function calls because the results of such calls are type-checked by mypy using the types of the arguments to their respective functions, resulting in attempted coercions by mypyc that throw a runtime error. """ builder.types[expr] = AnyType(TypeOfAny.from_error) return None @specialize_function("builtins.next") def translate_next_call(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: """Special case for calling next() on a generator expression, an idiom that shows up some in mypy. For example, next(x for x in l if x.id == 12, None) will generate code that searches l for an element where x.id == 12 and produce the first such object, or None if no such element exists. """ if not ( expr.arg_kinds in ([ARG_POS], [ARG_POS, ARG_POS]) and isinstance(expr.args[0], GeneratorExpr) ): return None gen = expr.args[0] retval = Register(builder.node_type(expr)) default_val = builder.accept(expr.args[1]) if len(expr.args) > 1 else None exit_block = BasicBlock() def gen_inner_stmts() -> None: # next takes the first element of the generator, so if # something gets produced, we are done. builder.assign(retval, builder.accept(gen.left_expr), gen.left_expr.line) builder.goto(exit_block) loop_params = list(zip(gen.indices, gen.sequences, gen.condlists, gen.is_async)) comprehension_helper(builder, loop_params, gen_inner_stmts, gen.line) # Now we need the case for when nothing got hit. If there was # a default value, we produce it, and otherwise we raise # StopIteration. if default_val: builder.assign(retval, default_val, gen.left_expr.line) builder.goto(exit_block) else: builder.add(RaiseStandardError(RaiseStandardError.STOP_ITERATION, None, expr.line)) builder.add(Unreachable()) builder.activate_block(exit_block) return retval isinstance_primitives: Final = { "builtins.bool": isinstance_bool, "builtins.bytearray": isinstance_bytearray, "builtins.bytes": isinstance_bytes, "builtins.dict": isinstance_dict, "builtins.float": isinstance_float, "builtins.frozenset": isinstance_frozenset, "builtins.int": isinstance_int, "builtins.list": isinstance_list, "builtins.set": isinstance_set, "builtins.str": isinstance_str, "builtins.tuple": isinstance_tuple, } @specialize_function("builtins.isinstance") def translate_isinstance(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: """Special case for builtins.isinstance. Prevent coercions on the thing we are checking the instance of - there is no need to coerce something to a new type before checking what type it is, and the coercion could lead to bugs. """ if not (len(expr.args) == 2 and expr.arg_kinds == [ARG_POS, ARG_POS]): return None obj_expr = expr.args[0] type_expr = expr.args[1] if isinstance(type_expr, TupleExpr) and not type_expr.items: # we can compile this case to a noop return builder.false() if isinstance(type_expr, (RefExpr, TupleExpr)): builder.types[obj_expr] = AnyType(TypeOfAny.from_error) irs = builder.flatten_classes(type_expr) if irs is not None: can_borrow = all( ir.is_ext_class and not ir.inherits_python and not ir.allow_interpreted_subclasses for ir in irs ) obj = builder.accept(obj_expr, can_borrow=can_borrow) return builder.builder.isinstance_helper(obj, irs, expr.line) if isinstance(type_expr, RefExpr): node = type_expr.node if node: desc = isinstance_primitives.get(node.fullname) if desc: obj = builder.accept(obj_expr) return builder.primitive_op(desc, [obj], expr.line) elif isinstance(type_expr, TupleExpr): node_names: list[str] = [] for item in type_expr.items: if not isinstance(item, RefExpr): return None if item.node is None: return None if item.node.fullname not in node_names: node_names.append(item.node.fullname) descs = [isinstance_primitives.get(fullname) for fullname in node_names] if None in descs: # not all types are primitive types, abort return None obj = builder.accept(obj_expr) retval = Register(bool_rprimitive) pass_block = BasicBlock() fail_block = BasicBlock() exit_block = BasicBlock() # Chain the checks: if any succeed, jump to pass_block; else, continue for i, desc in enumerate(descs): is_last = i == len(descs) - 1 next_block = fail_block if is_last else BasicBlock() builder.add_bool_branch( builder.primitive_op(cast(PrimitiveDescription, desc), [obj], expr.line), pass_block, next_block, ) if not is_last: builder.activate_block(next_block) # If any check passed builder.activate_block(pass_block) builder.assign(retval, builder.true(), expr.line) builder.goto(exit_block) # If all checks failed builder.activate_block(fail_block) builder.assign(retval, builder.false(), expr.line) builder.goto(exit_block) # Return the result builder.activate_block(exit_block) return retval return None @specialize_function("setdefault", dict_rprimitive) def translate_dict_setdefault(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: """Special case for 'dict.setdefault' which would only construct default empty collection when needed. The dict_setdefault_spec_init_op checks whether the dict contains the key and would construct the empty collection only once. For example, this specializer works for the following cases: d.setdefault(key, set()).add(value) d.setdefault(key, []).append(value) d.setdefault(key, {})[inner_key] = inner_val """ if ( len(expr.args) == 2 and expr.arg_kinds == [ARG_POS, ARG_POS] and isinstance(callee, MemberExpr) ): arg = expr.args[1] if isinstance(arg, ListExpr): if len(arg.items): return None data_type = Integer(1, c_int_rprimitive, expr.line) elif isinstance(arg, DictExpr): if len(arg.items): return None data_type = Integer(2, c_int_rprimitive, expr.line) elif ( isinstance(arg, CallExpr) and isinstance(arg.callee, NameExpr) and arg.callee.fullname == "builtins.set" ): if len(arg.args): return None data_type = Integer(3, c_int_rprimitive, expr.line) else: return None callee_dict = builder.accept(callee.expr) key_val = builder.accept(expr.args[0]) return builder.call_c( dict_setdefault_spec_init_op, [callee_dict, key_val, data_type], expr.line ) return None @specialize_function("format", str_rprimitive) def translate_str_format(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if isinstance(callee, MemberExpr): folded_callee = constant_fold_expr(builder, callee.expr) if isinstance(folded_callee, str) and expr.arg_kinds.count(ARG_POS) == len(expr.arg_kinds): tokens = tokenizer_format_call(folded_callee) if tokens is None: return None literals, format_ops = tokens # Convert variables to strings substitutions = convert_format_expr_to_str(builder, format_ops, expr.args, expr.line) if substitutions is None: return None return join_formatted_strings(builder, literals, substitutions, expr.line) return None @specialize_function("join", str_rprimitive) def translate_fstring(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: """Special case for f-string, which is translated into str.join() in mypy AST. This specializer optimizes simplest f-strings which don't contain any format operation. """ if ( isinstance(callee, MemberExpr) and isinstance(callee.expr, StrExpr) and callee.expr.value == "" and expr.arg_kinds == [ARG_POS] and isinstance(expr.args[0], ListExpr) ): for item in expr.args[0].items: if isinstance(item, StrExpr): continue elif isinstance(item, CallExpr): if not isinstance(item.callee, MemberExpr) or item.callee.name != "format": return None elif ( not isinstance(item.callee.expr, StrExpr) or item.callee.expr.value != "{:{}}" ): return None if not isinstance(item.args[1], StrExpr) or item.args[1].value != "": return None else: return None format_ops = [] exprs: list[Expression] = [] for item in expr.args[0].items: if isinstance(item, StrExpr) and item.value != "": format_ops.append(FormatOp.STR) exprs.append(item) elif isinstance(item, CallExpr): format_ops.append(FormatOp.STR) exprs.append(item.args[0]) def get_literal_str(expr: Expression) -> str | None: if isinstance(expr, StrExpr): return expr.value elif isinstance(expr, RefExpr) and isinstance(expr.node, Var) and expr.node.is_final: final_value = expr.node.final_value if final_value is not None: return str(final_value) return None for i in range(len(exprs) - 1): while ( len(exprs) >= i + 2 and (first := get_literal_str(exprs[i])) is not None and (second := get_literal_str(exprs[i + 1])) is not None ): exprs = [*exprs[:i], StrExpr(first + second), *exprs[i + 2 :]] format_ops = [*format_ops[:i], FormatOp.STR, *format_ops[i + 2 :]] substitutions = convert_format_expr_to_str(builder, format_ops, exprs, expr.line) if substitutions is None: return None return join_formatted_strings(builder, None, substitutions, expr.line) return None @specialize_function("encode", str_rprimitive) def str_encode_fast_path(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: """Specialize common cases of str.encode for most used encodings and strict errors.""" if not isinstance(callee, MemberExpr): return None # We can only specialize if we have string literals as args if len(expr.arg_kinds) > 0 and not isinstance(expr.args[0], StrExpr): return None if len(expr.arg_kinds) > 1 and not isinstance(expr.args[1], StrExpr): return None encoding = "utf8" errors = "strict" if len(expr.arg_kinds) > 0 and isinstance(expr.args[0], StrExpr): if expr.arg_kinds[0] == ARG_NAMED: if expr.arg_names[0] == "encoding": encoding = expr.args[0].value elif expr.arg_names[0] == "errors": errors = expr.args[0].value elif expr.arg_kinds[0] == ARG_POS: encoding = expr.args[0].value else: return None if len(expr.arg_kinds) > 1 and isinstance(expr.args[1], StrExpr): if expr.arg_kinds[1] == ARG_NAMED: if expr.arg_names[1] == "encoding": encoding = expr.args[1].value elif expr.arg_names[1] == "errors": errors = expr.args[1].value elif expr.arg_kinds[1] == ARG_POS: errors = expr.args[1].value else: return None if errors != "strict": # We can only specialize strict errors return None encoding = encoding.lower().replace("-", "").replace("_", "") # normalize # Specialized encodings and their accepted aliases if encoding in ["u8", "utf", "utf8", "cp65001"]: return builder.call_c(str_encode_utf8_strict, [builder.accept(callee.expr)], expr.line) elif encoding in ["646", "ascii", "usascii"]: return builder.call_c(str_encode_ascii_strict, [builder.accept(callee.expr)], expr.line) elif encoding in ["iso88591", "8859", "cp819", "latin", "latin1", "l1"]: return builder.call_c(str_encode_latin1_strict, [builder.accept(callee.expr)], expr.line) return None @specialize_function("decode", bytes_rprimitive) def bytes_decode_fast_path(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: """Specialize common cases of obj.decode for most used encodings and strict errors.""" if not isinstance(callee, MemberExpr): return None # We can only specialize if we have string literals as args if len(expr.arg_kinds) > 0 and not isinstance(expr.args[0], StrExpr): return None if len(expr.arg_kinds) > 1 and not isinstance(expr.args[1], StrExpr): return None encoding = "utf8" errors = "strict" if len(expr.arg_kinds) > 0 and isinstance(expr.args[0], StrExpr): if expr.arg_kinds[0] == ARG_NAMED: if expr.arg_names[0] == "encoding": encoding = expr.args[0].value elif expr.arg_names[0] == "errors": errors = expr.args[0].value elif expr.arg_kinds[0] == ARG_POS: encoding = expr.args[0].value else: return None if len(expr.arg_kinds) > 1 and isinstance(expr.args[1], StrExpr): if expr.arg_kinds[1] == ARG_NAMED: if expr.arg_names[1] == "encoding": encoding = expr.args[1].value elif expr.arg_names[1] == "errors": errors = expr.args[1].value elif expr.arg_kinds[1] == ARG_POS: errors = expr.args[1].value else: return None if errors != "strict": # We can only specialize strict errors return None encoding = encoding.lower().replace("_", "-") # normalize # Specialized encodings and their accepted aliases if encoding in ["u8", "utf", "utf8", "utf-8", "cp65001"]: return builder.call_c(bytes_decode_utf8_strict, [builder.accept(callee.expr)], expr.line) elif encoding in ["646", "ascii", "usascii", "us-ascii"]: return builder.call_c(bytes_decode_ascii_strict, [builder.accept(callee.expr)], expr.line) elif encoding in [ "iso8859-1", "iso-8859-1", "8859", "cp819", "latin", "latin1", "latin-1", "l1", ]: return builder.call_c(bytes_decode_latin1_strict, [builder.accept(callee.expr)], expr.line) return None @specialize_function("mypy_extensions.i64") def translate_i64(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) != 1 or expr.arg_kinds[0] != ARG_POS: return None arg = expr.args[0] arg_type = builder.node_type(arg) if is_int64_rprimitive(arg_type): return builder.accept(arg) elif is_int32_rprimitive(arg_type) or is_int16_rprimitive(arg_type): val = builder.accept(arg) return builder.add(Extend(val, int64_rprimitive, signed=True, line=expr.line)) elif is_uint8_rprimitive(arg_type): val = builder.accept(arg) return builder.add(Extend(val, int64_rprimitive, signed=False, line=expr.line)) elif is_int_rprimitive(arg_type) or is_bool_rprimitive(arg_type): val = builder.accept(arg) return builder.coerce(val, int64_rprimitive, expr.line) return None @specialize_function("mypy_extensions.i32") def translate_i32(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) != 1 or expr.arg_kinds[0] != ARG_POS: return None arg = expr.args[0] arg_type = builder.node_type(arg) if is_int32_rprimitive(arg_type): return builder.accept(arg) elif is_int64_rprimitive(arg_type): val = builder.accept(arg) return builder.add(Truncate(val, int32_rprimitive, line=expr.line)) elif is_int16_rprimitive(arg_type): val = builder.accept(arg) return builder.add(Extend(val, int32_rprimitive, signed=True, line=expr.line)) elif is_uint8_rprimitive(arg_type): val = builder.accept(arg) return builder.add(Extend(val, int32_rprimitive, signed=False, line=expr.line)) elif is_int_rprimitive(arg_type) or is_bool_rprimitive(arg_type): val = builder.accept(arg) val = truncate_literal(val, int32_rprimitive) return builder.coerce(val, int32_rprimitive, expr.line) return None @specialize_function("mypy_extensions.i16") def translate_i16(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) != 1 or expr.arg_kinds[0] != ARG_POS: return None arg = expr.args[0] arg_type = builder.node_type(arg) if is_int16_rprimitive(arg_type): return builder.accept(arg) elif is_int32_rprimitive(arg_type) or is_int64_rprimitive(arg_type): val = builder.accept(arg) return builder.add(Truncate(val, int16_rprimitive, line=expr.line)) elif is_uint8_rprimitive(arg_type): val = builder.accept(arg) return builder.add(Extend(val, int16_rprimitive, signed=False, line=expr.line)) elif is_int_rprimitive(arg_type) or is_bool_rprimitive(arg_type): val = builder.accept(arg) val = truncate_literal(val, int16_rprimitive) return builder.coerce(val, int16_rprimitive, expr.line) return None @specialize_function("mypy_extensions.u8") def translate_u8(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) != 1 or expr.arg_kinds[0] != ARG_POS: return None arg = expr.args[0] arg_type = builder.node_type(arg) if is_uint8_rprimitive(arg_type): return builder.accept(arg) elif ( is_int16_rprimitive(arg_type) or is_int32_rprimitive(arg_type) or is_int64_rprimitive(arg_type) ): val = builder.accept(arg) return builder.add(Truncate(val, uint8_rprimitive, line=expr.line)) elif is_int_rprimitive(arg_type) or is_bool_rprimitive(arg_type): val = builder.accept(arg) val = truncate_literal(val, uint8_rprimitive) return builder.coerce(val, uint8_rprimitive, expr.line) return None def truncate_literal(value: Value, rtype: RPrimitive) -> Value: """If value is an integer literal value, truncate it to given native int rtype. For example, truncate 256 into 0 if rtype is u8. """ if not isinstance(value, Integer): return value # Not a literal, nothing to do x = value.numeric_value() max_unsigned = (1 << (rtype.size * 8)) - 1 x = x & max_unsigned if rtype.is_signed and x >= (max_unsigned + 1) // 2: # Adjust to make it a negative value x -= max_unsigned + 1 return Integer(x, rtype) @specialize_function("builtins.int") def translate_int(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) != 1 or expr.arg_kinds[0] != ARG_POS: return None arg = expr.args[0] arg_type = builder.node_type(arg) if ( is_bool_rprimitive(arg_type) or is_int_rprimitive(arg_type) or is_fixed_width_rtype(arg_type) ): src = builder.accept(arg) return builder.coerce(src, int_rprimitive, expr.line) return None @specialize_function("builtins.bool") def translate_bool(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) != 1 or expr.arg_kinds[0] != ARG_POS: return None arg = expr.args[0] src = builder.accept(arg) return builder.builder.bool_value(src) @specialize_function("builtins.float") def translate_float(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) != 1 or expr.arg_kinds[0] != ARG_POS: return None arg = expr.args[0] arg_type = builder.node_type(arg) if is_float_rprimitive(arg_type): # No-op float conversion. return builder.accept(arg) return None @specialize_function("builtins.ord") def translate_ord(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: if len(expr.args) != 1 or expr.arg_kinds[0] != ARG_POS: return None arg = constant_fold_expr(builder, expr.args[0]) if isinstance(arg, (str, bytes)) and len(arg) == 1: return Integer(ord(arg)) return None def is_object(callee: RefExpr) -> bool: """Returns True for object. calls.""" return ( isinstance(callee, MemberExpr) and isinstance(callee.expr, NameExpr) and callee.expr.fullname == "builtins.object" ) def is_super_or_object(expr: CallExpr, callee: RefExpr) -> bool: """Returns True for super(). or object. calls.""" return isinstance(expr.callee, SuperExpr) or is_object(callee) @specialize_function("__new__", object_rprimitive) def translate_object_new(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: fn = builder.fn_info if fn.name != "__new__" or not is_super_or_object(expr, callee): return None ir = builder.get_current_class_ir() if ir is None: return None call = '"object.__new__()"' if not ir.is_ext_class: builder.error(f"{call} not supported for non-extension classes", expr.line) return None if ir.inherits_python: builder.error( f"{call} not supported for classes inheriting from non-native classes", expr.line ) return None if len(expr.args) != 1: builder.error(f"{call} supported only with 1 argument, got {len(expr.args)}", expr.line) return None typ_arg = expr.args[0] method_args = fn.fitem.arg_names if isinstance(typ_arg, NameExpr) and len(method_args) > 0 and method_args[0] == typ_arg.name: subtype = builder.accept(expr.args[0]) subs = ir.subclasses() if subs is not None and len(subs) == 0: return builder.add(Call(ir.setup, [subtype], expr.line)) # Call a function that dynamically resolves the setup function of extension classes from the type object. # This is necessary because the setup involves default attribute initialization and setting up # the vtable which are specific to a given type and will not work if a subtype is created using # the setup function of its base. return builder.call_c(setup_object, [subtype], expr.line) return None @specialize_function("__setattr__", object_rprimitive) def translate_object_setattr(builder: IRBuilder, expr: CallExpr, callee: RefExpr) -> Value | None: is_super = isinstance(expr.callee, SuperExpr) is_object_callee = is_object(callee) if not ((is_super and len(expr.args) >= 2) or (is_object_callee and len(expr.args) >= 3)): return None self_reg = builder.accept(expr.args[0]) if is_object_callee else builder.self() ir = builder.get_current_class_ir() if ir and (not ir.is_ext_class or ir.builtin_base or ir.inherits_python): return None # Need to offset by 1 for super().__setattr__ calls because there is no self arg in this case. name_idx = 0 if is_super else 1 value_idx = 1 if is_super else 2 attr_name = expr.args[name_idx] attr_value = expr.args[value_idx] value = builder.accept(attr_value) if isinstance(attr_name, StrExpr) and ir and ir.has_attr(attr_name.value): name = attr_name.value value = builder.coerce(value, ir.attributes[name], expr.line) return builder.add(SetAttr(self_reg, name, value, expr.line)) name_reg = builder.accept(attr_name) return builder.call_c(generic_setattr, [self_reg, name_reg, value], expr.line) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/statement.py0000644000175100017510000013313515112307767017436 0ustar00runnerrunner"""Transform mypy statement ASTs to mypyc IR (Intermediate Representation). The top-level AST transformation logic is implemented in mypyc.irbuild.visitor and mypyc.irbuild.builder. A few statements are transformed in mypyc.irbuild.function (yield, for example). """ from __future__ import annotations import importlib.util from collections.abc import Sequence from typing import Callable import mypy.nodes from mypy.nodes import ( ARG_NAMED, ARG_POS, AssertStmt, AssignmentStmt, AwaitExpr, Block, BreakStmt, ContinueStmt, DelStmt, Expression, ExpressionStmt, ForStmt, IfStmt, Import, ImportAll, ImportFrom, ListExpr, Lvalue, MatchStmt, NameExpr, OperatorAssignmentStmt, RaiseStmt, ReturnStmt, StarExpr, StrExpr, TempNode, TryStmt, TupleExpr, TypeAliasStmt, WhileStmt, WithStmt, YieldExpr, YieldFromExpr, ) from mypyc.common import TEMP_ATTR_NAME from mypyc.ir.ops import ( ERR_NEVER, NAMESPACE_MODULE, NO_TRACEBACK_LINE_NO, Assign, BasicBlock, Branch, Call, InitStatic, Integer, LoadAddress, LoadErrorValue, LoadLiteral, LoadStatic, MethodCall, PrimitiveDescription, RaiseStandardError, Register, Return, TupleGet, Unborrow, Unreachable, Value, ) from mypyc.ir.rtypes import ( RInstance, RTuple, c_pyssize_t_rprimitive, exc_rtuple, is_tagged, none_rprimitive, object_pointer_rprimitive, object_rprimitive, ) from mypyc.irbuild.ast_helpers import is_borrow_friendly_expr, process_conditional from mypyc.irbuild.builder import IRBuilder, create_type_params, int_borrow_friendly_op from mypyc.irbuild.for_helpers import for_loop_helper from mypyc.irbuild.generator import add_raise_exception_blocks_to_generator_class from mypyc.irbuild.nonlocalcontrol import ( ExceptNonlocalControl, FinallyNonlocalControl, TryFinallyNonlocalControl, ) from mypyc.irbuild.prepare import GENERATOR_HELPER_NAME from mypyc.irbuild.targets import ( AssignmentTarget, AssignmentTargetAttr, AssignmentTargetIndex, AssignmentTargetRegister, AssignmentTargetTuple, ) from mypyc.primitives.exc_ops import ( error_catch_op, exc_matches_op, get_exc_info_op, get_exc_value_op, keep_propagating_op, no_err_occurred_op, propagate_if_error_op, raise_exception_op, reraise_exception_op, restore_exc_info_op, ) from mypyc.primitives.generic_ops import iter_op, next_raw_op, py_delattr_op from mypyc.primitives.misc_ops import ( check_stop_op, coro_op, import_from_many_op, import_many_op, import_op, send_op, set_type_alias_compute_function_op, type_op, yield_from_except_op, ) from .match import MatchVisitor GenFunc = Callable[[], None] ValueGenFunc = Callable[[], Value] def transform_block(builder: IRBuilder, block: Block) -> None: if not block.is_unreachable: builder.block_reachable_stack.append(True) for stmt in block.body: builder.accept(stmt) if not builder.block_reachable_stack[-1]: # The rest of the block is unreachable, so skip it break builder.block_reachable_stack.pop() # Raise a RuntimeError if we hit a non-empty unreachable block. # Don't complain about empty unreachable blocks, since mypy inserts # those after `if MYPY`. elif block.body: builder.add( RaiseStandardError( RaiseStandardError.RUNTIME_ERROR, "Reached allegedly unreachable code!", block.line ) ) builder.add(Unreachable()) def transform_expression_stmt(builder: IRBuilder, stmt: ExpressionStmt) -> None: if isinstance(stmt.expr, StrExpr): # Docstring. Ignore return # ExpressionStmts do not need to be coerced like other Expressions, so we shouldn't # call builder.accept here. stmt.expr.accept(builder.visitor) builder.flush_keep_alives() def transform_return_stmt(builder: IRBuilder, stmt: ReturnStmt) -> None: if stmt.expr: retval = builder.accept(stmt.expr) else: retval = builder.builder.none() retval = builder.coerce(retval, builder.ret_types[-1], stmt.line) builder.nonlocal_control[-1].gen_return(builder, retval, stmt.line) def check_unsupported_cls_assignment(builder: IRBuilder, stmt: AssignmentStmt) -> None: fn = builder.fn_info method_args = fn.fitem.arg_names if fn.name != "__new__" or len(method_args) == 0: return ir = builder.get_current_class_ir() if ir is None or ir.inherits_python or not ir.is_ext_class: return cls_arg = method_args[0] def flatten(lvalues: list[Expression]) -> list[Expression]: flat = [] for lvalue in lvalues: if isinstance(lvalue, (TupleExpr, ListExpr)): flat += flatten(lvalue.items) else: flat.append(lvalue) return flat lvalues = flatten(stmt.lvalues) for lvalue in lvalues: if isinstance(lvalue, NameExpr) and lvalue.name == cls_arg: # Disallowed because it could break the transformation of object.__new__ calls # inside __new__ methods. builder.error( f'Assignment to argument "{cls_arg}" in "__new__" method unsupported', stmt.line ) def transform_assignment_stmt(builder: IRBuilder, stmt: AssignmentStmt) -> None: lvalues = stmt.lvalues assert lvalues builder.disallow_class_assignments(lvalues, stmt.line) check_unsupported_cls_assignment(builder, stmt) first_lvalue = lvalues[0] if stmt.type and isinstance(stmt.rvalue, TempNode): # This is actually a variable annotation without initializer. Don't generate # an assignment but we need to call get_assignment_target since it adds a # name binding as a side effect. builder.get_assignment_target(first_lvalue, stmt.line) return # Special case multiple assignments like 'x, y = e1, e2'. if ( isinstance(first_lvalue, (TupleExpr, ListExpr)) and isinstance(stmt.rvalue, (TupleExpr, ListExpr)) and len(first_lvalue.items) == len(stmt.rvalue.items) and all(is_simple_lvalue(item) for item in first_lvalue.items) and len(lvalues) == 1 ): temps = [] for right in stmt.rvalue.items: rvalue_reg = builder.accept(right) temp = Register(rvalue_reg.type) builder.assign(temp, rvalue_reg, stmt.line) temps.append(temp) for left, temp in zip(first_lvalue.items, temps): assignment_target = builder.get_assignment_target(left) builder.assign(assignment_target, temp, stmt.line) builder.flush_keep_alives() return line = stmt.rvalue.line rvalue_reg = builder.accept(stmt.rvalue) if builder.non_function_scope() and stmt.is_final_def: builder.init_final_static(first_lvalue, rvalue_reg) # Special-case multiple assignments like 'x, y = expr' to reduce refcount ops. if ( isinstance(first_lvalue, (TupleExpr, ListExpr)) and isinstance(rvalue_reg.type, RTuple) and len(rvalue_reg.type.types) == len(first_lvalue.items) and len(lvalues) == 1 and all(is_simple_lvalue(item) for item in first_lvalue.items) and any(t.is_refcounted for t in rvalue_reg.type.types) ): n = len(first_lvalue.items) borrows = [builder.add(TupleGet(rvalue_reg, i, borrow=True)) for i in range(n)] builder.builder.keep_alive([rvalue_reg], steal=True) for lvalue_item, rvalue_item in zip(first_lvalue.items, borrows): rvalue_item = builder.add(Unborrow(rvalue_item)) builder.assign(builder.get_assignment_target(lvalue_item), rvalue_item, line) builder.flush_keep_alives() return for lvalue in lvalues: target = builder.get_assignment_target(lvalue) builder.assign(target, rvalue_reg, line) builder.flush_keep_alives() def is_simple_lvalue(expr: Expression) -> bool: return not isinstance(expr, (StarExpr, ListExpr, TupleExpr)) def transform_operator_assignment_stmt(builder: IRBuilder, stmt: OperatorAssignmentStmt) -> None: """Operator assignment statement such as x += 1""" builder.disallow_class_assignments([stmt.lvalue], stmt.line) if ( is_tagged(builder.node_type(stmt.lvalue)) and is_tagged(builder.node_type(stmt.rvalue)) and stmt.op in int_borrow_friendly_op ): can_borrow = is_borrow_friendly_expr(builder, stmt.rvalue) and is_borrow_friendly_expr( builder, stmt.lvalue ) else: can_borrow = False target = builder.get_assignment_target(stmt.lvalue) target_value = builder.read(target, stmt.line, can_borrow=can_borrow) rreg = builder.accept(stmt.rvalue, can_borrow=can_borrow) # the Python parser strips the '=' from operator assignment statements, so re-add it op = stmt.op + "=" res = builder.binary_op(target_value, rreg, op, stmt.line) # usually operator assignments are done in-place # but when target doesn't support that we need to manually assign builder.assign(target, res, res.line) builder.flush_keep_alives() def import_globals_id_and_name(module_id: str, as_name: str | None) -> tuple[str, str]: """Compute names for updating the globals dict with the appropriate module. * For 'import foo.bar as baz' we add 'foo.bar' with the name 'baz' * For 'import foo.bar' we add 'foo' with the name 'foo' Typically we then ignore these entries and access things directly via the module static, but we will use the globals version for modules that mypy couldn't find, since it doesn't analyze module references from those properly.""" if as_name: globals_id = module_id globals_name = as_name else: globals_id = globals_name = module_id.split(".")[0] return globals_id, globals_name def transform_import(builder: IRBuilder, node: Import) -> None: if node.is_mypy_only: return # Imports (not from imports!) are processed in an odd way so they can be # table-driven and compact. Here's how it works: # # Import nodes are divided in groups (in the prebuild visitor). Each group # consists of consecutive Import nodes: # # import mod <| group #1 # import mod2 | # # def foo() -> None: # import mod3 <- group #2 (*) # # import mod4 <| group #3 # import mod5 | # # Every time we encounter the first import of a group, build IR to call a # helper function that will perform all of the group's imports in one go. if not node.is_top_level: # (*) Unless the import is within a function. In that case, prioritize # speed over codesize when generating IR. globals = builder.load_globals_dict() for mod_id, as_name in node.ids: builder.gen_import(mod_id, node.line) globals_id, globals_name = import_globals_id_and_name(mod_id, as_name) builder.gen_method_call( globals, "__setitem__", [builder.load_str(globals_name), builder.get_module(globals_id, node.line)], result_type=None, line=node.line, ) return if node not in builder.module_import_groups: return modules = [] static_ptrs = [] # To show the right line number on failure, we have to add the traceback # entry within the helper function (which is admittedly ugly). To drive # this, we need the line number corresponding to each module. mod_lines = [] for import_node in builder.module_import_groups[node]: for mod_id, as_name in import_node.ids: builder.imports[mod_id] = None modules.append((mod_id, *import_globals_id_and_name(mod_id, as_name))) mod_static = LoadStatic(object_rprimitive, mod_id, namespace=NAMESPACE_MODULE) static_ptrs.append(builder.add(LoadAddress(object_pointer_rprimitive, mod_static))) mod_lines.append(Integer(import_node.line, c_pyssize_t_rprimitive)) static_array_ptr = builder.builder.setup_rarray(object_pointer_rprimitive, static_ptrs) import_line_ptr = builder.builder.setup_rarray(c_pyssize_t_rprimitive, mod_lines) builder.call_c( import_many_op, [ builder.add(LoadLiteral(tuple(modules), object_rprimitive)), static_array_ptr, builder.load_globals_dict(), builder.load_str(builder.module_path), builder.load_str(builder.fn_info.name), import_line_ptr, ], NO_TRACEBACK_LINE_NO, ) def transform_import_from(builder: IRBuilder, node: ImportFrom) -> None: if node.is_mypy_only: return module_state = builder.graph[builder.module_name] if builder.module_path.endswith("__init__.py"): module_package = builder.module_name elif module_state.ancestors is not None and module_state.ancestors: module_package = module_state.ancestors[0] else: module_package = "" id = importlib.util.resolve_name("." * node.relative + node.id, module_package) builder.imports[id] = None names = [name for name, _ in node.names] as_names = [as_name or name for name, as_name in node.names] names_literal = builder.add(LoadLiteral(tuple(names), object_rprimitive)) if as_names == names: # Reuse names tuple to reduce verbosity. as_names_literal = names_literal else: as_names_literal = builder.add(LoadLiteral(tuple(as_names), object_rprimitive)) # Note that we miscompile import from inside of functions here, # since that case *shouldn't* load everything into the globals dict. # This probably doesn't matter much and the code runs basically right. module = builder.call_c( import_from_many_op, [builder.load_str(id), names_literal, as_names_literal, builder.load_globals_dict()], node.line, ) builder.add(InitStatic(module, id, namespace=NAMESPACE_MODULE)) def transform_import_all(builder: IRBuilder, node: ImportAll) -> None: if node.is_mypy_only: return builder.gen_import(node.id, node.line) def transform_if_stmt(builder: IRBuilder, stmt: IfStmt) -> None: if_body, next = BasicBlock(), BasicBlock() else_body = BasicBlock() if stmt.else_body else next # If statements are normalized assert len(stmt.expr) == 1 process_conditional(builder, stmt.expr[0], if_body, else_body) builder.activate_block(if_body) builder.accept(stmt.body[0]) builder.goto(next) if stmt.else_body: builder.activate_block(else_body) builder.accept(stmt.else_body) builder.goto(next) builder.activate_block(next) def transform_while_stmt(builder: IRBuilder, s: WhileStmt) -> None: body, next, top, else_block = BasicBlock(), BasicBlock(), BasicBlock(), BasicBlock() normal_loop_exit = else_block if s.else_body is not None else next builder.push_loop_stack(top, next) # Split block so that we get a handle to the top of the loop. builder.goto_and_activate(top) process_conditional(builder, s.expr, body, normal_loop_exit) builder.activate_block(body) builder.accept(s.body) # Add branch to the top at the end of the body. builder.goto(top) builder.pop_loop_stack() if s.else_body is not None: builder.activate_block(else_block) builder.accept(s.else_body) builder.goto(next) builder.activate_block(next) def transform_for_stmt(builder: IRBuilder, s: ForStmt) -> None: def body() -> None: builder.accept(s.body) def else_block() -> None: assert s.else_body is not None builder.accept(s.else_body) for_loop_helper( builder, s.index, s.expr, body, else_block if s.else_body else None, s.is_async, s.line ) def transform_break_stmt(builder: IRBuilder, node: BreakStmt) -> None: builder.nonlocal_control[-1].gen_break(builder, node.line) def transform_continue_stmt(builder: IRBuilder, node: ContinueStmt) -> None: builder.nonlocal_control[-1].gen_continue(builder, node.line) def transform_raise_stmt(builder: IRBuilder, s: RaiseStmt) -> None: if s.expr is None: builder.call_c(reraise_exception_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) return exc = builder.accept(s.expr) builder.call_c(raise_exception_op, [exc], s.line) builder.add(Unreachable()) def transform_try_except( builder: IRBuilder, body: GenFunc, handlers: Sequence[tuple[tuple[ValueGenFunc, int] | None, Expression | None, GenFunc]], else_body: GenFunc | None, line: int, ) -> None: """Generalized try/except/else handling that takes functions to gen the bodies. The point of this is to also be able to support with.""" assert handlers, "try needs except" except_entry, exit_block, cleanup_block = BasicBlock(), BasicBlock(), BasicBlock() double_except_block = BasicBlock() # If there is an else block, jump there after the try, otherwise just leave else_block = BasicBlock() if else_body else exit_block # Compile the try block with an error handler builder.builder.push_error_handler(except_entry) builder.goto_and_activate(BasicBlock()) body() builder.goto(else_block) builder.builder.pop_error_handler() # The error handler catches the error and then checks it # against the except clauses. We compile the error handler # itself with an error handler so that it can properly restore # the *old* exc_info if an exception occurs. # The exception chaining will be done automatically when the # exception is raised, based on the exception in exc_info. builder.builder.push_error_handler(double_except_block) builder.activate_block(except_entry) old_exc = builder.maybe_spill(builder.call_c(error_catch_op, [], line)) # Compile the except blocks with the nonlocal control flow overridden to clear exc_info builder.nonlocal_control.append(ExceptNonlocalControl(builder.nonlocal_control[-1], old_exc)) # Process the bodies for type, var, handler_body in handlers: next_block = None if type: type_f, type_line = type next_block, body_block = BasicBlock(), BasicBlock() matches = builder.call_c(exc_matches_op, [type_f()], type_line) builder.add(Branch(matches, body_block, next_block, Branch.BOOL)) builder.activate_block(body_block) if var: target = builder.get_assignment_target(var) builder.assign(target, builder.call_c(get_exc_value_op, [], var.line), var.line) handler_body() builder.goto(cleanup_block) if next_block: builder.activate_block(next_block) # Reraise the exception if needed if next_block: builder.call_c(reraise_exception_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) builder.nonlocal_control.pop() builder.builder.pop_error_handler() # Cleanup for if we leave except through normal control flow: # restore the saved exc_info information and continue propagating # the exception if it exists. builder.activate_block(cleanup_block) builder.call_c(restore_exc_info_op, [builder.read(old_exc)], line) builder.goto(exit_block) # Cleanup for if we leave except through a raised exception: # restore the saved exc_info information and continue propagating # the exception. builder.activate_block(double_except_block) builder.call_c(restore_exc_info_op, [builder.read(old_exc)], line) builder.call_c(keep_propagating_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) # If present, compile the else body in the obvious way if else_body: builder.activate_block(else_block) else_body() builder.goto(exit_block) builder.activate_block(exit_block) def transform_try_except_stmt(builder: IRBuilder, t: TryStmt) -> None: def body() -> None: builder.accept(t.body) # Work around scoping woes def make_handler(body: Block) -> GenFunc: return lambda: builder.accept(body) def make_entry(type: Expression) -> tuple[ValueGenFunc, int]: return (lambda: builder.accept(type), type.line) handlers = [ (make_entry(type) if type else None, var, make_handler(body)) for type, var, body in zip(t.types, t.vars, t.handlers) ] else_body = (lambda: builder.accept(t.else_body)) if t.else_body else None transform_try_except(builder, body, handlers, else_body, t.line) def try_finally_try( builder: IRBuilder, err_handler: BasicBlock, return_entry: BasicBlock, main_entry: BasicBlock, try_body: GenFunc, ) -> Register | AssignmentTarget | None: # Compile the try block with an error handler control = TryFinallyNonlocalControl(return_entry) builder.builder.push_error_handler(err_handler) builder.nonlocal_control.append(control) builder.goto_and_activate(BasicBlock()) try_body() builder.goto(main_entry) builder.nonlocal_control.pop() builder.builder.pop_error_handler() return control.ret_reg def try_finally_entry_blocks( builder: IRBuilder, err_handler: BasicBlock, return_entry: BasicBlock, main_entry: BasicBlock, finally_block: BasicBlock, ret_reg: Register | AssignmentTarget | None, ) -> Value: old_exc = Register(exc_rtuple) # Entry block for non-exceptional flow builder.activate_block(main_entry) if ret_reg: builder.assign(ret_reg, builder.add(LoadErrorValue(builder.ret_types[-1])), -1) builder.goto(return_entry) builder.activate_block(return_entry) builder.add(Assign(old_exc, builder.add(LoadErrorValue(exc_rtuple)))) builder.goto(finally_block) # Entry block for errors builder.activate_block(err_handler) if ret_reg: builder.assign(ret_reg, builder.add(LoadErrorValue(builder.ret_types[-1])), -1) builder.add(Assign(old_exc, builder.call_c(error_catch_op, [], -1))) builder.goto(finally_block) return old_exc def try_finally_body( builder: IRBuilder, finally_block: BasicBlock, finally_body: GenFunc, old_exc: Value ) -> tuple[BasicBlock, FinallyNonlocalControl]: cleanup_block = BasicBlock() # Compile the finally block with the nonlocal control flow overridden to restore exc_info builder.builder.push_error_handler(cleanup_block) finally_control = FinallyNonlocalControl(builder.nonlocal_control[-1], old_exc) builder.nonlocal_control.append(finally_control) builder.activate_block(finally_block) finally_body() builder.nonlocal_control.pop() return cleanup_block, finally_control def try_finally_resolve_control( builder: IRBuilder, cleanup_block: BasicBlock, finally_control: FinallyNonlocalControl, old_exc: Value, ret_reg: Register | AssignmentTarget | None, ) -> BasicBlock: """Resolve the control flow out of a finally block. This means returning if there was a return, propagating exceptions, break/continue (soon), or just continuing on. """ reraise, rest = BasicBlock(), BasicBlock() builder.add(Branch(old_exc, rest, reraise, Branch.IS_ERROR)) # Reraise the exception if there was one builder.activate_block(reraise) builder.call_c(reraise_exception_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) builder.builder.pop_error_handler() # If there was a return, keep returning if ret_reg: builder.activate_block(rest) return_block, rest = BasicBlock(), BasicBlock() # For spill targets in try/finally, use nullable read to avoid AttributeError if isinstance(ret_reg, AssignmentTargetAttr) and ret_reg.attr.startswith(TEMP_ATTR_NAME): ret_val = builder.read_nullable_attr(ret_reg.obj, ret_reg.attr, -1) else: ret_val = builder.read(ret_reg) builder.add(Branch(ret_val, rest, return_block, Branch.IS_ERROR)) builder.activate_block(return_block) builder.nonlocal_control[-1].gen_return(builder, ret_val, -1) # TODO: handle break/continue builder.activate_block(rest) out_block = BasicBlock() builder.goto(out_block) # If there was an exception, restore again builder.activate_block(cleanup_block) finally_control.gen_cleanup(builder, -1) builder.call_c(keep_propagating_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) return out_block def transform_try_finally_stmt( builder: IRBuilder, try_body: GenFunc, finally_body: GenFunc, line: int = -1 ) -> None: """Generalized try/finally handling that takes functions to gen the bodies. The point of this is to also be able to support with.""" # Finally is a big pain, because there are so many ways that # exits can occur. We emit 10+ basic blocks for every finally! err_handler, main_entry, return_entry, finally_block = ( BasicBlock(), BasicBlock(), BasicBlock(), BasicBlock(), ) # Compile the body of the try ret_reg = try_finally_try(builder, err_handler, return_entry, main_entry, try_body) # Set up the entry blocks for the finally statement old_exc = try_finally_entry_blocks( builder, err_handler, return_entry, main_entry, finally_block, ret_reg ) # Compile the body of the finally cleanup_block, finally_control = try_finally_body( builder, finally_block, finally_body, old_exc ) # Resolve the control flow out of the finally block out_block = try_finally_resolve_control( builder, cleanup_block, finally_control, old_exc, ret_reg ) builder.activate_block(out_block) def transform_try_finally_stmt_async( builder: IRBuilder, try_body: GenFunc, finally_body: GenFunc, line: int = -1 ) -> None: """Async-aware try/finally handling for when finally contains await. This version uses a modified approach that preserves exceptions across await.""" # We need to handle returns properly, so we'll use TryFinallyNonlocalControl # to track return values, similar to the regular try/finally implementation err_handler, main_entry, return_entry, finally_entry = ( BasicBlock(), BasicBlock(), BasicBlock(), BasicBlock(), ) # Track if we're returning from the try block control = TryFinallyNonlocalControl(return_entry) builder.builder.push_error_handler(err_handler) builder.nonlocal_control.append(control) builder.goto_and_activate(BasicBlock()) try_body() builder.goto(main_entry) builder.nonlocal_control.pop() builder.builder.pop_error_handler() ret_reg = control.ret_reg # Normal case - no exception or return builder.activate_block(main_entry) builder.goto(finally_entry) # Return case builder.activate_block(return_entry) builder.goto(finally_entry) # Exception case - need to catch to clear the error indicator builder.activate_block(err_handler) # Catch the error to clear Python's error indicator builder.call_c(error_catch_op, [], line) # We're not going to use old_exc since it won't survive await # The exception is now in sys.exc_info() builder.goto(finally_entry) # Finally block builder.activate_block(finally_entry) # Execute finally body finally_body() # After finally, we need to handle exceptions carefully: # 1. If finally raised a new exception, it's in the error indicator - let it propagate # 2. If finally didn't raise, check if we need to reraise the original from sys.exc_info() # 3. If there was a return, return that value # 4. Otherwise, normal exit # First, check if there's a current exception in the error indicator # (this would be from the finally block) no_current_exc = builder.call_c(no_err_occurred_op, [], line) finally_raised = BasicBlock() check_original = BasicBlock() builder.add(Branch(no_current_exc, check_original, finally_raised, Branch.BOOL)) # Finally raised an exception - let it propagate naturally builder.activate_block(finally_raised) builder.call_c(keep_propagating_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) # No exception from finally, check if we need to handle return or original exception builder.activate_block(check_original) # Check if we have a return value if ret_reg: return_block, check_old_exc = BasicBlock(), BasicBlock() builder.add( Branch( builder.read(ret_reg, allow_error_value=True), check_old_exc, return_block, Branch.IS_ERROR, ) ) builder.activate_block(return_block) builder.nonlocal_control[-1].gen_return(builder, builder.read(ret_reg), -1) builder.activate_block(check_old_exc) # Check if we need to reraise the original exception from sys.exc_info exc_info = builder.call_c(get_exc_info_op, [], line) exc_type = builder.add(TupleGet(exc_info, 0, line)) # Check if exc_type is None none_obj = builder.none_object() has_exc = builder.binary_op(exc_type, none_obj, "is not", line) reraise_block, exit_block = BasicBlock(), BasicBlock() builder.add(Branch(has_exc, reraise_block, exit_block, Branch.BOOL)) # Reraise the original exception builder.activate_block(reraise_block) builder.call_c(reraise_exception_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) # Normal exit builder.activate_block(exit_block) # A simple visitor to detect await expressions class AwaitDetector(mypy.traverser.TraverserVisitor): def __init__(self) -> None: super().__init__() self.has_await = False def visit_await_expr(self, o: mypy.nodes.AwaitExpr) -> None: self.has_await = True super().visit_await_expr(o) def transform_try_stmt(builder: IRBuilder, t: TryStmt) -> None: # Our compilation strategy for try/except/else/finally is to # treat try/except/else and try/finally as separate language # constructs that we compile separately. When we have a # try/except/else/finally, we treat the try/except/else as the # body of a try/finally block. if t.is_star: builder.error("Exception groups and except* cannot be compiled yet", t.line) # Check if we're in an async function with a finally block that contains await use_async_version = False if t.finally_body and builder.fn_info.is_coroutine: detector = AwaitDetector() t.finally_body.accept(detector) if detector.has_await: # Use the async version that handles exceptions correctly use_async_version = True if t.finally_body: def transform_try_body() -> None: if t.handlers: transform_try_except_stmt(builder, t) else: builder.accept(t.body) body = t.finally_body if use_async_version: transform_try_finally_stmt_async( builder, transform_try_body, lambda: builder.accept(body), t.line ) else: transform_try_finally_stmt( builder, transform_try_body, lambda: builder.accept(body), t.line ) else: transform_try_except_stmt(builder, t) def get_sys_exc_info(builder: IRBuilder) -> list[Value]: exc_info = builder.call_c(get_exc_info_op, [], -1) return [builder.add(TupleGet(exc_info, i, -1)) for i in range(3)] def transform_with( builder: IRBuilder, expr: Expression, target: Lvalue | None, body: GenFunc, is_async: bool, line: int, ) -> None: # This is basically a straight transcription of the Python code in PEP 343. # I don't actually understand why a bunch of it is the way it is. # We could probably optimize the case where the manager is compiled by us, # but that is not our common case at all, so. al = "a" if is_async else "" mgr_v = builder.accept(expr) is_native = isinstance(mgr_v.type, RInstance) if is_native: value = builder.add(MethodCall(mgr_v, f"__{al}enter__", args=[], line=line)) exit_ = None else: typ = builder.primitive_op(type_op, [mgr_v], line) exit_ = builder.maybe_spill(builder.py_get_attr(typ, f"__{al}exit__", line)) value = builder.py_call(builder.py_get_attr(typ, f"__{al}enter__", line), [mgr_v], line) mgr = builder.maybe_spill(mgr_v) exc = builder.maybe_spill_assignable(builder.true()) if is_async: value = emit_await(builder, value, line) def maybe_natively_call_exit(exc_info: bool) -> Value: if exc_info: args = get_sys_exc_info(builder) else: none = builder.none_object() args = [none, none, none] if is_native: assert isinstance(mgr_v.type, RInstance), mgr_v.type exit_val = builder.gen_method_call( builder.read(mgr), f"__{al}exit__", arg_values=args, line=line, result_type=none_rprimitive, ) else: assert exit_ is not None exit_val = builder.py_call(builder.read(exit_), [builder.read(mgr)] + args, line) if is_async: return emit_await(builder, exit_val, line) else: return exit_val def try_body() -> None: if target: builder.assign(builder.get_assignment_target(target), value, line) body() def except_body() -> None: builder.assign(exc, builder.false(), line) out_block, reraise_block = BasicBlock(), BasicBlock() builder.add_bool_branch(maybe_natively_call_exit(exc_info=True), out_block, reraise_block) builder.activate_block(reraise_block) builder.call_c(reraise_exception_op, [], NO_TRACEBACK_LINE_NO) builder.add(Unreachable()) builder.activate_block(out_block) def finally_body() -> None: out_block, exit_block = BasicBlock(), BasicBlock() builder.add(Branch(builder.read(exc), exit_block, out_block, Branch.BOOL)) builder.activate_block(exit_block) maybe_natively_call_exit(exc_info=False) builder.goto_and_activate(out_block) transform_try_finally_stmt( builder, lambda: transform_try_except(builder, try_body, [(None, None, except_body)], None, line), finally_body, line, ) def transform_with_stmt(builder: IRBuilder, o: WithStmt) -> None: # Generate separate logic for each expr in it, left to right def generate(i: int) -> None: if i >= len(o.expr): builder.accept(o.body) else: transform_with( builder, o.expr[i], o.target[i], lambda: generate(i + 1), o.is_async, o.line ) generate(0) def transform_assert_stmt(builder: IRBuilder, a: AssertStmt) -> None: if builder.options.strip_asserts: return cond = builder.accept(a.expr) ok_block, error_block = BasicBlock(), BasicBlock() builder.add_bool_branch(cond, ok_block, error_block) builder.activate_block(error_block) if a.msg is None: # Special case (for simpler generated code) builder.add(RaiseStandardError(RaiseStandardError.ASSERTION_ERROR, None, a.line)) elif isinstance(a.msg, StrExpr): # Another special case builder.add(RaiseStandardError(RaiseStandardError.ASSERTION_ERROR, a.msg.value, a.line)) else: # The general case -- explicitly construct an exception instance message = builder.accept(a.msg) exc_type = builder.load_module_attr_by_fullname("builtins.AssertionError", a.line) exc = builder.py_call(exc_type, [message], a.line) builder.call_c(raise_exception_op, [exc], a.line) builder.add(Unreachable()) builder.activate_block(ok_block) def transform_del_stmt(builder: IRBuilder, o: DelStmt) -> None: transform_del_item(builder, builder.get_assignment_target(o.expr), o.line) def transform_del_item(builder: IRBuilder, target: AssignmentTarget, line: int) -> None: if isinstance(target, AssignmentTargetIndex): builder.gen_method_call( target.base, "__delitem__", [target.index], result_type=None, line=line ) elif isinstance(target, AssignmentTargetAttr): if isinstance(target.obj_type, RInstance): cl = target.obj_type.class_ir if not cl.is_deletable(target.attr): builder.error(f'"{target.attr}" cannot be deleted', line) builder.note( 'Using "__deletable__ = ' + '[\'\']" in the class body enables "del obj."', line, ) key = builder.load_str(target.attr) builder.primitive_op(py_delattr_op, [target.obj, key], line) elif isinstance(target, AssignmentTargetRegister): # Delete a local by assigning an error value to it, which will # prompt the insertion of uninit checks. builder.add( Assign(target.register, builder.add(LoadErrorValue(target.type, undefines=True))) ) elif isinstance(target, AssignmentTargetTuple): for subtarget in target.items: transform_del_item(builder, subtarget, line) # yield/yield from/await # These are really expressions, not statements... but they depend on try/except/finally def emit_yield(builder: IRBuilder, val: Value, line: int) -> Value: retval = builder.coerce(val, builder.ret_types[-1], line) cls = builder.fn_info.generator_class # Create a new block for the instructions immediately following the yield expression, and # set the next label so that the next time '__next__' is called on the generator object, # the function continues at the new block. next_block = BasicBlock() next_label = len(cls.continuation_blocks) cls.continuation_blocks.append(next_block) builder.assign(cls.next_label_target, Integer(next_label), line) builder.add(Return(retval, yield_target=next_block)) builder.activate_block(next_block) add_raise_exception_blocks_to_generator_class(builder, line) assert cls.send_arg_reg is not None return cls.send_arg_reg def emit_yield_from_or_await( builder: IRBuilder, val: Value, line: int, *, is_await: bool ) -> Value: # This is basically an implementation of the code in PEP 380. # TODO: do we want to use the right types here? result = Register(object_rprimitive) to_yield_reg = Register(object_rprimitive) received_reg = Register(object_rprimitive) helper_method = GENERATOR_HELPER_NAME if ( isinstance(val, (Call, MethodCall)) and isinstance(val.type, RInstance) and val.type.class_ir.has_method(helper_method) ): # This is a generated native generator class, and we can use a fast path. # This allows two optimizations: # 1) No need to call CPy_GetCoro() or iter() since for native generators # it just returns the generator object (implemented here). # 2) Instead of calling next(), call generator helper method directly, # since next() just calls __next__ which calls the helper method. iter_val: Value = val else: get_op = coro_op if is_await else iter_op if isinstance(get_op, PrimitiveDescription): iter_val = builder.primitive_op(get_op, [val], line) else: iter_val = builder.call_c(get_op, [val], line) iter_reg = builder.maybe_spill_assignable(iter_val) stop_block, main_block, done_block = BasicBlock(), BasicBlock(), BasicBlock() if isinstance(iter_reg.type, RInstance) and iter_reg.type.class_ir.has_method(helper_method): # Second fast path optimization: call helper directly (see also comment above). # # Calling a generated generator, so avoid raising StopIteration by passing # an extra PyObject ** argument to helper where the stop iteration value is stored. fast_path = True obj = builder.read(iter_reg) nn = builder.none_object() stop_iter_val = Register(object_rprimitive) err = builder.add(LoadErrorValue(object_rprimitive, undefines=True)) builder.assign(stop_iter_val, err, line) ptr = builder.add(LoadAddress(object_pointer_rprimitive, stop_iter_val)) m = MethodCall(obj, helper_method, [nn, nn, nn, nn, ptr], line) # Generators have custom error handling, so disable normal error handling. m.error_kind = ERR_NEVER _y_init = builder.add(m) else: fast_path = False _y_init = builder.call_c(next_raw_op, [builder.read(iter_reg)], line) builder.add(Branch(_y_init, stop_block, main_block, Branch.IS_ERROR)) builder.activate_block(stop_block) if fast_path: builder.primitive_op(propagate_if_error_op, [stop_iter_val], line) builder.assign(result, stop_iter_val, line) else: # Try extracting a return value from a StopIteration and return it. # If it wasn't, this reraises the exception. builder.assign(result, builder.call_c(check_stop_op, [], line), line) # Clear the spilled iterator/coroutine so that it will be freed. # Otherwise, the freeing of the spilled register would likely be delayed. err = builder.add(LoadErrorValue(iter_reg.type)) builder.assign(iter_reg, err, line) builder.goto(done_block) builder.activate_block(main_block) builder.assign(to_yield_reg, _y_init, line) # OK Now the main loop! loop_block = BasicBlock() builder.goto_and_activate(loop_block) def try_body() -> None: builder.assign(received_reg, emit_yield(builder, builder.read(to_yield_reg), line), line) def except_body() -> None: # The body of the except is all implemented in a C function to # reduce how much code we need to generate. It returns a value # indicating whether to break or yield (or raise an exception). val = Register(object_rprimitive) val_address = builder.add(LoadAddress(object_pointer_rprimitive, val)) to_stop = builder.call_c(yield_from_except_op, [builder.read(iter_reg), val_address], line) ok, stop = BasicBlock(), BasicBlock() builder.add(Branch(to_stop, stop, ok, Branch.BOOL)) # The exception got swallowed. Continue, yielding the returned value builder.activate_block(ok) builder.assign(to_yield_reg, val, line) builder.nonlocal_control[-1].gen_continue(builder, line) # The exception was a StopIteration. Stop iterating. builder.activate_block(stop) builder.assign(result, val, line) builder.nonlocal_control[-1].gen_break(builder, line) def else_body() -> None: # Do a next() or a .send(). It will return NULL on exception # but it won't automatically propagate. _y = builder.call_c(send_op, [builder.read(iter_reg), builder.read(received_reg)], line) ok, stop = BasicBlock(), BasicBlock() builder.add(Branch(_y, stop, ok, Branch.IS_ERROR)) # Everything's fine. Yield it. builder.activate_block(ok) builder.assign(to_yield_reg, _y, line) builder.nonlocal_control[-1].gen_continue(builder, line) # Try extracting a return value from a StopIteration and return it. # If it wasn't, this rereaises the exception. builder.activate_block(stop) builder.assign(result, builder.call_c(check_stop_op, [], line), line) builder.nonlocal_control[-1].gen_break(builder, line) builder.push_loop_stack(loop_block, done_block) transform_try_except(builder, try_body, [(None, None, except_body)], else_body, line) builder.pop_loop_stack() builder.goto_and_activate(done_block) return builder.read(result) def emit_await(builder: IRBuilder, val: Value, line: int) -> Value: return emit_yield_from_or_await(builder, val, line, is_await=True) def transform_yield_expr(builder: IRBuilder, expr: YieldExpr) -> Value: if builder.fn_info.is_coroutine: builder.error("async generators are unimplemented", expr.line) if expr.expr: retval = builder.accept(expr.expr) else: retval = builder.builder.none() return emit_yield(builder, retval, expr.line) def transform_yield_from_expr(builder: IRBuilder, o: YieldFromExpr) -> Value: return emit_yield_from_or_await(builder, builder.accept(o.expr), o.line, is_await=False) def transform_await_expr(builder: IRBuilder, o: AwaitExpr) -> Value: return emit_yield_from_or_await(builder, builder.accept(o.expr), o.line, is_await=True) def transform_match_stmt(builder: IRBuilder, m: MatchStmt) -> None: m.accept(MatchVisitor(builder, m)) def transform_type_alias_stmt(builder: IRBuilder, s: TypeAliasStmt) -> None: line = s.line # Use "_typing" to avoid importing "typing", as the latter can be expensive. # "_typing" includes everything we need here. mod = builder.call_c(import_op, [builder.load_str("_typing")], line) type_params = create_type_params(builder, mod, s.type_args, s.line) type_alias_type = builder.py_get_attr(mod, "TypeAliasType", line) args = [builder.load_str(s.name.name), builder.none()] arg_names: list[str | None] = [None, None] arg_kinds = [ARG_POS, ARG_POS] if s.type_args: args.append(builder.new_tuple(type_params, line)) arg_names.append("type_params") arg_kinds.append(ARG_NAMED) alias = builder.py_call(type_alias_type, args, line, arg_names=arg_names, arg_kinds=arg_kinds) # Use primitive to set function used to lazily compute type alias type value. # The value needs to be lazily computed to match Python runtime behavior, but # Python public APIs don't support this, so we use a C primitive. compute_fn = s.value.accept(builder.visitor) builder.builder.primitive_op(set_type_alias_compute_function_op, [alias, compute_fn], line) target = builder.get_assignment_target(s.name) builder.assign(target, alias, line) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/targets.py0000644000175100017510000000441115112307767017075 0ustar00runnerrunnerfrom __future__ import annotations from mypyc.ir.ops import Register, Value from mypyc.ir.rtypes import RInstance, RType, object_rprimitive class AssignmentTarget: """Abstract base class for assignment targets during IR building.""" type: RType = object_rprimitive class AssignmentTargetRegister(AssignmentTarget): """Register as an assignment target. This is used for local variables and some temporaries. """ def __init__(self, register: Register) -> None: self.register = register self.type = register.type def __repr__(self) -> str: return f"AssignmentTargetRegister({self.register.name})" class AssignmentTargetIndex(AssignmentTarget): """base[index] as assignment target""" def __init__(self, base: Value, index: Value) -> None: self.base = base self.index = index # TODO: object_rprimitive won't be right for user-defined classes. Store the # lvalue type in mypy and use a better type to avoid unneeded boxing. self.type = object_rprimitive def __repr__(self) -> str: return f"AssignmentTargetIndex({self.base!r}, {self.index!r})" class AssignmentTargetAttr(AssignmentTarget): """obj.attr as assignment target""" def __init__(self, obj: Value, attr: str, can_borrow: bool = False) -> None: self.obj = obj self.attr = attr self.can_borrow = can_borrow if isinstance(obj.type, RInstance) and obj.type.class_ir.has_attr(attr): # Native attribute reference self.obj_type: RType = obj.type self.type = obj.type.attr_type(attr) else: # Python attribute reference self.obj_type = object_rprimitive self.type = object_rprimitive def __repr__(self) -> str: can_borrow_str = ", can_borrow=True" if self.can_borrow else "" return f"AssignmentTargetAttr({self.obj!r}.{self.attr}{can_borrow_str})" class AssignmentTargetTuple(AssignmentTarget): """x, ..., y as assignment target""" def __init__(self, items: list[AssignmentTarget], star_idx: int | None = None) -> None: self.items = items self.star_idx = star_idx def __repr__(self) -> str: return f"AssignmentTargetTuple({self.items}, {self.star_idx})" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/util.py0000644000175100017510000002354615112307767016413 0ustar00runnerrunner"""Various utilities that don't depend on other modules in mypyc.irbuild.""" from __future__ import annotations from typing import Any, Final, Literal, TypedDict, cast from typing_extensions import NotRequired from mypy.nodes import ( ARG_NAMED, ARG_NAMED_OPT, ARG_OPT, ARG_POS, GDEF, ArgKind, BytesExpr, CallExpr, ClassDef, Decorator, Expression, FloatExpr, FuncDef, IntExpr, NameExpr, OverloadedFuncDef, RefExpr, StrExpr, TupleExpr, UnaryExpr, Var, ) from mypy.semanal import refers_to_fullname from mypy.types import FINAL_DECORATOR_NAMES from mypyc.errors import Errors MYPYC_ATTRS: Final[frozenset[MypycAttr]] = frozenset( ["native_class", "allow_interpreted_subclasses", "serializable", "free_list_len"] ) DATACLASS_DECORATORS: Final = frozenset(["dataclasses.dataclass", "attr.s", "attr.attrs"]) MypycAttr = Literal[ "native_class", "allow_interpreted_subclasses", "serializable", "free_list_len" ] class MypycAttrs(TypedDict): native_class: NotRequired[bool] allow_interpreted_subclasses: NotRequired[bool] serializable: NotRequired[bool] free_list_len: NotRequired[int] def is_final_decorator(d: Expression) -> bool: return refers_to_fullname(d, FINAL_DECORATOR_NAMES) def is_trait_decorator(d: Expression) -> bool: return isinstance(d, RefExpr) and d.fullname == "mypy_extensions.trait" def is_trait(cdef: ClassDef) -> bool: return any(is_trait_decorator(d) for d in cdef.decorators) or cdef.info.is_protocol def dataclass_decorator_type(d: Expression) -> str | None: if isinstance(d, RefExpr) and d.fullname in DATACLASS_DECORATORS: return d.fullname.split(".")[0] elif ( isinstance(d, CallExpr) and isinstance(d.callee, RefExpr) and d.callee.fullname in DATACLASS_DECORATORS ): name = d.callee.fullname.split(".")[0] if name == "attr" and "auto_attribs" in d.arg_names: # Note: the mypy attrs plugin checks that the value of auto_attribs is # not computed at runtime, so we don't need to perform that check here auto = d.args[d.arg_names.index("auto_attribs")] if isinstance(auto, NameExpr) and auto.name == "True": return "attr-auto" return name else: return None def is_dataclass_decorator(d: Expression) -> bool: return dataclass_decorator_type(d) is not None def is_dataclass(cdef: ClassDef) -> bool: return any(is_dataclass_decorator(d) for d in cdef.decorators) # The string values returned by this function are inspected in # mypyc/lib-rt/misc_ops.c:CPyDataclass_SleightOfHand(...). def dataclass_type(cdef: ClassDef) -> str | None: for d in cdef.decorators: typ = dataclass_decorator_type(d) if typ is not None: return typ return None def get_mypyc_attr_literal(e: Expression) -> Any: """Convert an expression from a mypyc_attr decorator to a value. Supports a pretty limited range.""" if isinstance(e, (StrExpr, IntExpr, FloatExpr)): return e.value elif isinstance(e, RefExpr) and e.fullname == "builtins.True": return True elif isinstance(e, RefExpr) and e.fullname == "builtins.False": return False elif isinstance(e, RefExpr) and e.fullname == "builtins.None": return None elif isinstance(e, IntExpr): return e.value return NotImplemented def get_mypyc_attr_call(d: Expression) -> CallExpr | None: """Check if an expression is a call to mypyc_attr and return it if so.""" if ( isinstance(d, CallExpr) and isinstance(d.callee, RefExpr) and d.callee.fullname == "mypy_extensions.mypyc_attr" ): return d return None def get_mypyc_attrs( stmt: ClassDef | Decorator, path: str, errors: Errors ) -> tuple[MypycAttrs, dict[MypycAttr, int]]: """Collect all the mypyc_attr attributes on a class definition or a function.""" attrs: MypycAttrs = {} lines: dict[MypycAttr, int] = {} def set_mypyc_attr(key: str, value: Any, line: int) -> None: if key in MYPYC_ATTRS: key = cast(MypycAttr, key) attrs[key] = value lines[key] = line else: errors.error(f'"{key}" is not a supported "mypyc_attr"', path, line) supported_keys = '", "'.join(sorted(MYPYC_ATTRS)) errors.note(f'supported keys: "{supported_keys}"', path, line) for dec in stmt.decorators: if d := get_mypyc_attr_call(dec): line = d.line for name, arg in zip(d.arg_names, d.args): if name is None: if isinstance(arg, StrExpr): set_mypyc_attr(arg.value, True, line) else: errors.error( 'All "mypyc_attr" positional arguments must be string literals.', path, line, ) else: arg_value = get_mypyc_attr_literal(arg) set_mypyc_attr(name, arg_value, line) return attrs, lines def is_extension_class(path: str, cdef: ClassDef, errors: Errors) -> bool: # Check for @mypyc_attr(native_class=True/False) decorator. explicit_native_class = get_explicit_native_class(path, cdef, errors) # Classes with native_class=False are explicitly marked as non extension. if explicit_native_class is False: return False implicit_extension_class, reason = is_implicit_extension_class(cdef) # Classes with native_class=True should be extension classes, but they might # not be able to be due to other reasons. Print an error in that case. if explicit_native_class is True and not implicit_extension_class: errors.error( f"Class is marked as native_class=True but it can't be a native class. {reason}", path, cdef.line, ) return implicit_extension_class def get_explicit_native_class(path: str, cdef: ClassDef, errors: Errors) -> bool | None: """Return value of @mypyc_attr(native_class=True/False) decorator. Look for a @mypyc_attr decorator with native_class=True/False and return the value assigned or None if it doesn't exist. Other values are an error. """ for d in cdef.decorators: mypyc_attr_call = get_mypyc_attr_call(d) if not mypyc_attr_call: continue for i, name in enumerate(mypyc_attr_call.arg_names): if name != "native_class": continue arg = mypyc_attr_call.args[i] if not isinstance(arg, NameExpr): errors.error("native_class must be used with True or False only", path, cdef.line) return None if arg.name == "False": return False elif arg.name == "True": return True else: errors.error("native_class must be used with True or False only", path, cdef.line) return None return None def is_implicit_extension_class(cdef: ClassDef) -> tuple[bool, str]: """Check if class can be extension class and return a user-friendly reason it can't be one.""" for d in cdef.decorators: if ( not is_trait_decorator(d) and not is_dataclass_decorator(d) and not get_mypyc_attr_call(d) and not is_final_decorator(d) ): return ( False, "Classes that have decorators other than supported decorators" " can't be native classes.", ) if cdef.info.typeddict_type: return False, "TypedDict classes can't be native classes." if cdef.info.is_named_tuple: return False, "NamedTuple classes can't be native classes." if cdef.info.metaclass_type and cdef.info.metaclass_type.type.fullname not in ( "abc.ABCMeta", "typing.TypingMeta", "typing.GenericMeta", ): return ( False, "Classes with a metaclass other than ABCMeta, TypingMeta or" " GenericMeta can't be native classes.", ) return True, "" def get_func_def(op: FuncDef | Decorator | OverloadedFuncDef) -> FuncDef: if isinstance(op, OverloadedFuncDef): assert op.impl op = op.impl if isinstance(op, Decorator): op = op.func return op def concrete_arg_kind(kind: ArgKind) -> ArgKind: """Find the concrete version of an arg kind that is being passed.""" if kind == ARG_OPT: return ARG_POS elif kind == ARG_NAMED_OPT: return ARG_NAMED else: return kind def is_constant(e: Expression) -> bool: """Check whether we allow an expression to appear as a default value. We don't currently properly support storing the evaluated values for default arguments and default attribute values, so we restrict what expressions we allow. We allow literals of primitives types, None, and references to Final global variables. """ return ( isinstance(e, (StrExpr, BytesExpr, IntExpr, FloatExpr)) or (isinstance(e, UnaryExpr) and e.op == "-" and isinstance(e.expr, (IntExpr, FloatExpr))) or (isinstance(e, TupleExpr) and all(is_constant(e) for e in e.items)) or ( isinstance(e, RefExpr) and e.kind == GDEF and ( e.fullname in ("builtins.True", "builtins.False", "builtins.None") or (isinstance(e.node, Var) and e.node.is_final) ) ) ) def bytes_from_str(value: str) -> bytes: """Convert a string representing bytes into actual bytes. This is needed because the literal characters of BytesExpr (the characters inside b'') are stored in BytesExpr.value, whose type is 'str' not 'bytes'. """ return bytes(value, "utf8").decode("unicode-escape").encode("raw-unicode-escape") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/visitor.py0000644000175100017510000003152015112307767017124 0ustar00runnerrunner"""Dispatcher used when transforming a mypy AST to the IR form. mypyc.irbuild.builder and mypyc.irbuild.main are closely related. """ from __future__ import annotations from typing import NoReturn from mypy.nodes import ( AssertStmt, AssertTypeExpr, AssignmentExpr, AssignmentStmt, AwaitExpr, Block, BreakStmt, BytesExpr, CallExpr, CastExpr, ClassDef, ComparisonExpr, ComplexExpr, ConditionalExpr, ContinueStmt, Decorator, DelStmt, DictExpr, DictionaryComprehension, EllipsisExpr, EnumCallExpr, ExpressionStmt, FloatExpr, ForStmt, FuncDef, GeneratorExpr, GlobalDecl, IfStmt, Import, ImportAll, ImportFrom, IndexExpr, IntExpr, LambdaExpr, ListComprehension, ListExpr, MatchStmt, MemberExpr, MypyFile, NamedTupleExpr, NameExpr, NewTypeExpr, NonlocalDecl, OperatorAssignmentStmt, OpExpr, OverloadedFuncDef, ParamSpecExpr, PassStmt, PromoteExpr, RaiseStmt, ReturnStmt, RevealExpr, SetComprehension, SetExpr, SliceExpr, StarExpr, StrExpr, SuperExpr, TempNode, TryStmt, TupleExpr, TypeAliasExpr, TypeAliasStmt, TypeApplication, TypedDictExpr, TypeFormExpr, TypeVarExpr, TypeVarTupleExpr, UnaryExpr, Var, WhileStmt, WithStmt, YieldExpr, YieldFromExpr, ) from mypyc.ir.ops import Value from mypyc.irbuild.builder import IRBuilder, IRVisitor, UnsupportedException from mypyc.irbuild.classdef import transform_class_def from mypyc.irbuild.expression import ( transform_assignment_expr, transform_bytes_expr, transform_call_expr, transform_comparison_expr, transform_complex_expr, transform_conditional_expr, transform_dict_expr, transform_dictionary_comprehension, transform_ellipsis, transform_float_expr, transform_generator_expr, transform_index_expr, transform_int_expr, transform_list_comprehension, transform_list_expr, transform_member_expr, transform_name_expr, transform_op_expr, transform_set_comprehension, transform_set_expr, transform_slice_expr, transform_str_expr, transform_super_expr, transform_tuple_expr, transform_unary_expr, ) from mypyc.irbuild.function import ( transform_decorator, transform_func_def, transform_lambda_expr, transform_overloaded_func_def, ) from mypyc.irbuild.statement import ( transform_assert_stmt, transform_assignment_stmt, transform_await_expr, transform_block, transform_break_stmt, transform_continue_stmt, transform_del_stmt, transform_expression_stmt, transform_for_stmt, transform_if_stmt, transform_import, transform_import_all, transform_import_from, transform_match_stmt, transform_operator_assignment_stmt, transform_raise_stmt, transform_return_stmt, transform_try_stmt, transform_type_alias_stmt, transform_while_stmt, transform_with_stmt, transform_yield_expr, transform_yield_from_expr, ) class IRBuilderVisitor(IRVisitor): """Mypy node visitor that dispatches to node transform implementations. This class should have no non-trivial logic. This visitor is separated from the rest of code to improve modularity and to avoid import cycles. This is based on the visitor pattern (https://en.wikipedia.org/wiki/Visitor_pattern). """ # This gets passed to all the implementations and contains all the # state and many helpers. The attribute is initialized outside # this class since this class and IRBuilder form a reference loop. builder: IRBuilder def visit_mypy_file(self, mypyfile: MypyFile) -> None: assert False, "use transform_mypy_file instead" def visit_class_def(self, cdef: ClassDef) -> None: transform_class_def(self.builder, cdef) def visit_import(self, node: Import) -> None: transform_import(self.builder, node) def visit_import_from(self, node: ImportFrom) -> None: transform_import_from(self.builder, node) def visit_import_all(self, node: ImportAll) -> None: transform_import_all(self.builder, node) def visit_func_def(self, fdef: FuncDef) -> None: transform_func_def(self.builder, fdef) def visit_overloaded_func_def(self, o: OverloadedFuncDef) -> None: transform_overloaded_func_def(self.builder, o) def visit_decorator(self, dec: Decorator) -> None: transform_decorator(self.builder, dec) def visit_block(self, block: Block) -> None: transform_block(self.builder, block) # Statements def visit_expression_stmt(self, stmt: ExpressionStmt) -> None: transform_expression_stmt(self.builder, stmt) def visit_return_stmt(self, stmt: ReturnStmt) -> None: transform_return_stmt(self.builder, stmt) self.builder.mark_block_unreachable() def visit_assignment_stmt(self, stmt: AssignmentStmt) -> None: transform_assignment_stmt(self.builder, stmt) def visit_operator_assignment_stmt(self, stmt: OperatorAssignmentStmt) -> None: transform_operator_assignment_stmt(self.builder, stmt) def visit_if_stmt(self, stmt: IfStmt) -> None: transform_if_stmt(self.builder, stmt) def visit_while_stmt(self, stmt: WhileStmt) -> None: transform_while_stmt(self.builder, stmt) def visit_for_stmt(self, stmt: ForStmt) -> None: transform_for_stmt(self.builder, stmt) def visit_break_stmt(self, stmt: BreakStmt) -> None: transform_break_stmt(self.builder, stmt) self.builder.mark_block_unreachable() def visit_continue_stmt(self, stmt: ContinueStmt) -> None: transform_continue_stmt(self.builder, stmt) self.builder.mark_block_unreachable() def visit_raise_stmt(self, stmt: RaiseStmt) -> None: transform_raise_stmt(self.builder, stmt) self.builder.mark_block_unreachable() def visit_try_stmt(self, stmt: TryStmt) -> None: transform_try_stmt(self.builder, stmt) def visit_with_stmt(self, stmt: WithStmt) -> None: transform_with_stmt(self.builder, stmt) def visit_pass_stmt(self, stmt: PassStmt) -> None: pass def visit_assert_stmt(self, stmt: AssertStmt) -> None: transform_assert_stmt(self.builder, stmt) def visit_del_stmt(self, stmt: DelStmt) -> None: transform_del_stmt(self.builder, stmt) def visit_global_decl(self, stmt: GlobalDecl) -> None: # Pure declaration -- no runtime effect pass def visit_nonlocal_decl(self, stmt: NonlocalDecl) -> None: # Pure declaration -- no runtime effect pass def visit_match_stmt(self, stmt: MatchStmt) -> None: transform_match_stmt(self.builder, stmt) def visit_type_alias_stmt(self, stmt: TypeAliasStmt) -> None: transform_type_alias_stmt(self.builder, stmt) # Expressions def visit_name_expr(self, expr: NameExpr) -> Value: return transform_name_expr(self.builder, expr) def visit_member_expr(self, expr: MemberExpr) -> Value: return transform_member_expr(self.builder, expr) def visit_super_expr(self, expr: SuperExpr) -> Value: return transform_super_expr(self.builder, expr) def visit_call_expr(self, expr: CallExpr) -> Value: return transform_call_expr(self.builder, expr) def visit_unary_expr(self, expr: UnaryExpr) -> Value: return transform_unary_expr(self.builder, expr) def visit_op_expr(self, expr: OpExpr) -> Value: return transform_op_expr(self.builder, expr) def visit_index_expr(self, expr: IndexExpr) -> Value: return transform_index_expr(self.builder, expr) def visit_conditional_expr(self, expr: ConditionalExpr) -> Value: return transform_conditional_expr(self.builder, expr) def visit_comparison_expr(self, expr: ComparisonExpr) -> Value: return transform_comparison_expr(self.builder, expr) def visit_int_expr(self, expr: IntExpr) -> Value: return transform_int_expr(self.builder, expr) def visit_float_expr(self, expr: FloatExpr) -> Value: return transform_float_expr(self.builder, expr) def visit_complex_expr(self, expr: ComplexExpr) -> Value: return transform_complex_expr(self.builder, expr) def visit_str_expr(self, expr: StrExpr) -> Value: return transform_str_expr(self.builder, expr) def visit_bytes_expr(self, expr: BytesExpr) -> Value: return transform_bytes_expr(self.builder, expr) def visit_ellipsis(self, expr: EllipsisExpr) -> Value: return transform_ellipsis(self.builder, expr) def visit_list_expr(self, expr: ListExpr) -> Value: return transform_list_expr(self.builder, expr) def visit_tuple_expr(self, expr: TupleExpr) -> Value: return transform_tuple_expr(self.builder, expr) def visit_dict_expr(self, expr: DictExpr) -> Value: return transform_dict_expr(self.builder, expr) def visit_set_expr(self, expr: SetExpr) -> Value: return transform_set_expr(self.builder, expr) def visit_list_comprehension(self, expr: ListComprehension) -> Value: return transform_list_comprehension(self.builder, expr) def visit_set_comprehension(self, expr: SetComprehension) -> Value: return transform_set_comprehension(self.builder, expr) def visit_dictionary_comprehension(self, expr: DictionaryComprehension) -> Value: return transform_dictionary_comprehension(self.builder, expr) def visit_slice_expr(self, expr: SliceExpr) -> Value: return transform_slice_expr(self.builder, expr) def visit_generator_expr(self, expr: GeneratorExpr) -> Value: return transform_generator_expr(self.builder, expr) def visit_lambda_expr(self, expr: LambdaExpr) -> Value: return transform_lambda_expr(self.builder, expr) def visit_yield_expr(self, expr: YieldExpr) -> Value: return transform_yield_expr(self.builder, expr) def visit_yield_from_expr(self, o: YieldFromExpr) -> Value: return transform_yield_from_expr(self.builder, o) def visit_await_expr(self, o: AwaitExpr) -> Value: return transform_await_expr(self.builder, o) def visit_assignment_expr(self, o: AssignmentExpr) -> Value: return transform_assignment_expr(self.builder, o) # Constructs that shouldn't ever show up def visit_enum_call_expr(self, o: EnumCallExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit__promote_expr(self, o: PromoteExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_namedtuple_expr(self, o: NamedTupleExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_newtype_expr(self, o: NewTypeExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_temp_node(self, o: TempNode) -> Value: assert False, "can't compile analysis-only expressions" def visit_type_alias_expr(self, o: TypeAliasExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_type_application(self, o: TypeApplication) -> Value: assert False, "can't compile analysis-only expressions" def visit_type_var_expr(self, o: TypeVarExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_paramspec_expr(self, o: ParamSpecExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_type_var_tuple_expr(self, o: TypeVarTupleExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_typeddict_expr(self, o: TypedDictExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_reveal_expr(self, o: RevealExpr) -> Value: assert False, "can't compile analysis-only expressions" def visit_var(self, o: Var) -> None: assert False, "can't compile Var; should have been handled already?" def visit_cast_expr(self, o: CastExpr) -> Value: assert False, "CastExpr should have been handled in CallExpr" def visit_type_form_expr(self, o: TypeFormExpr) -> Value: assert False, "TypeFormExpr should have been handled in CallExpr" def visit_assert_type_expr(self, o: AssertTypeExpr) -> Value: assert False, "AssertTypeExpr should have been handled in CallExpr" def visit_star_expr(self, o: StarExpr) -> Value: assert False, "should have been handled in Tuple/List/Set/DictExpr or CallExpr" # Helpers def bail(self, msg: str, line: int) -> NoReturn: """Reports an error and aborts compilation up until the last accept() call (accept() catches the UnsupportedException and keeps on processing. This allows errors to be non-blocking without always needing to write handling for them. """ self.builder.error(msg, line) raise UnsupportedException() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/irbuild/vtable.py0000644000175100017510000000635015112307767016705 0ustar00runnerrunner"""Compute vtables of native (extension) classes.""" from __future__ import annotations import itertools from mypyc.ir.class_ir import ClassIR, VTableEntries, VTableMethod from mypyc.sametype import is_same_method_signature def compute_vtable(cls: ClassIR) -> None: """Compute the vtable structure for a class.""" if cls.vtable is not None: return if not cls.is_generated: cls.has_dict = any(x.inherits_python for x in cls.mro) for t in cls.mro[1:]: # Make sure all ancestors are processed first compute_vtable(t) # Merge attributes from traits into the class if not t.is_trait: continue for name, typ in t.attributes.items(): if not cls.is_trait and not any(name in b.attributes for b in cls.base_mro): cls.attributes[name] = typ cls.vtable = {} if cls.base: assert cls.base.vtable is not None cls.vtable.update(cls.base.vtable) cls.vtable_entries = specialize_parent_vtable(cls, cls.base) # Include the vtable from the parent classes, but handle method overrides. entries = cls.vtable_entries all_traits = [t for t in cls.mro if t.is_trait] for t in [cls] + cls.traits: for fn in itertools.chain(t.methods.values()): # TODO: don't generate a new entry when we overload without changing the type if fn == cls.get_method(fn.name, prefer_method=True): cls.vtable[fn.name] = len(entries) # If the class contains a glue method referring to itself, that is a # shadow glue method to support interpreted subclasses. shadow = cls.glue_methods.get((cls, fn.name)) entries.append(VTableMethod(t, fn.name, fn, shadow)) # Compute vtables for all of the traits that the class implements if not cls.is_trait: for trait in all_traits: compute_vtable(trait) cls.trait_vtables[trait] = specialize_parent_vtable(cls, trait) def specialize_parent_vtable(cls: ClassIR, parent: ClassIR) -> VTableEntries: """Generate the part of a vtable corresponding to a parent class or trait""" updated = [] for entry in parent.vtable_entries: # Find the original method corresponding to this vtable entry. # (This may not be the method in the entry, if it was overridden.) orig_parent_method = entry.cls.get_method(entry.name, prefer_method=True) assert orig_parent_method method_cls = cls.get_method_and_class(entry.name, prefer_method=True) if method_cls: child_method, defining_cls = method_cls # TODO: emit a wrapper for __init__ that raises or something if ( is_same_method_signature(orig_parent_method.sig, child_method.sig) or orig_parent_method.name == "__init__" ): entry = VTableMethod(entry.cls, entry.name, child_method, entry.shadow_method) else: entry = VTableMethod( entry.cls, entry.name, defining_cls.glue_methods[(entry.cls, entry.name)], entry.shadow_method, ) updated.append(entry) return updated ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.648766 mypy-1.19.0/mypyc/lib-rt/0000755000175100017510000000000015112310012014562 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/CPy.h0000644000175100017510000010513115112307767015456 0ustar00runnerrunner// Mypyc C API #ifndef CPY_CPY_H #define CPY_CPY_H #include #include #include #include #include #include #include "pythonsupport.h" #include "mypyc_util.h" #ifdef __cplusplus extern "C" { #endif #if 0 } // why isn't emacs smart enough to not indent this #endif #define CPYTHON_LARGE_INT_ERRMSG "Python int too large to convert to C ssize_t" // Naming conventions: // // Tagged: tagged int // Long: tagged long int (pointer) // Short: tagged short int (unboxed) // Ssize_t: A Py_ssize_t, which ought to be the same width as pointers // Object: CPython object (PyObject *) // Tuple type definitions needed for API functions #ifndef MYPYC_DECLARED_tuple_T3OOO #define MYPYC_DECLARED_tuple_T3OOO typedef struct tuple_T3OOO { PyObject *f0; PyObject *f1; PyObject *f2; } tuple_T3OOO; #endif // Our return tuple wrapper for dictionary iteration helper. #ifndef MYPYC_DECLARED_tuple_T3CIO #define MYPYC_DECLARED_tuple_T3CIO typedef struct tuple_T3CIO { char f0; // Should continue? CPyTagged f1; // Last dict offset PyObject *f2; // Next dictionary key or value } tuple_T3CIO; #endif // Same as above but for both key and value. #ifndef MYPYC_DECLARED_tuple_T4CIOO #define MYPYC_DECLARED_tuple_T4CIOO typedef struct tuple_T4CIOO { char f0; // Should continue? CPyTagged f1; // Last dict offset PyObject *f2; // Next dictionary key PyObject *f3; // Next dictionary value } tuple_T4CIOO; #endif // System-wide empty tuple constant extern PyObject * __mypyc_empty_tuple__; static inline PyObject *CPyTuple_LoadEmptyTupleConstant(void) { #if !CPY_3_12_FEATURES Py_INCREF(__mypyc_empty_tuple__); #endif return __mypyc_empty_tuple__; } // Native object operations // Search backwards through the trait part of a vtable (which sits *before* // the start of the vtable proper) looking for the subvtable describing a trait // implementation. We don't do any bounds checking so we'd better be pretty sure // we know that it is there. static inline CPyVTableItem *CPy_FindTraitVtable(PyTypeObject *trait, CPyVTableItem *vtable) { int i; for (i = -3; ; i -= 3) { if ((PyTypeObject *)vtable[i] == trait) { return (CPyVTableItem *)vtable[i + 1]; } } } // Use the same logic for offset table. static inline size_t CPy_FindAttrOffset(PyTypeObject *trait, CPyVTableItem *vtable, size_t index) { int i; for (i = -3; ; i -= 3) { if ((PyTypeObject *)vtable[i] == trait) { return ((size_t *)vtable[i + 2])[index]; } } } // Get attribute value using vtable (may return an undefined value) #define CPY_GET_ATTR(obj, type, vtable_index, object_type, attr_type) \ ((attr_type (*)(object_type *))((object_type *)obj)->vtable[vtable_index])((object_type *)obj) #define CPY_GET_ATTR_TRAIT(obj, trait, vtable_index, object_type, attr_type) \ ((attr_type (*)(object_type *))(CPy_FindTraitVtable(trait, ((object_type *)obj)->vtable))[vtable_index])((object_type *)obj) // Set attribute value using vtable #define CPY_SET_ATTR(obj, type, vtable_index, value, object_type, attr_type) \ ((bool (*)(object_type *, attr_type))((object_type *)obj)->vtable[vtable_index])( \ (object_type *)obj, value) #define CPY_SET_ATTR_TRAIT(obj, trait, vtable_index, value, object_type, attr_type) \ ((bool (*)(object_type *, attr_type))(CPy_FindTraitVtable(trait, ((object_type *)obj)->vtable))[vtable_index])( \ (object_type *)obj, value) #define CPY_GET_METHOD(obj, type, vtable_index, object_type, method_type) \ ((method_type)(((object_type *)obj)->vtable[vtable_index])) #define CPY_GET_METHOD_TRAIT(obj, trait, vtable_index, object_type, method_type) \ ((method_type)(CPy_FindTraitVtable(trait, ((object_type *)obj)->vtable)[vtable_index])) // Int operations CPyTagged CPyTagged_FromSsize_t(Py_ssize_t value); CPyTagged CPyTagged_FromVoidPtr(void *ptr); CPyTagged CPyTagged_FromInt64(int64_t value); PyObject *CPyTagged_AsObject(CPyTagged x); PyObject *CPyTagged_StealAsObject(CPyTagged x); Py_ssize_t CPyTagged_AsSsize_t(CPyTagged x); void CPyTagged_IncRef(CPyTagged x); void CPyTagged_DecRef(CPyTagged x); void CPyTagged_XDecRef(CPyTagged x); bool CPyTagged_IsEq_(CPyTagged left, CPyTagged right); bool CPyTagged_IsLt_(CPyTagged left, CPyTagged right); CPyTagged CPyTagged_Negate_(CPyTagged num); CPyTagged CPyTagged_Invert_(CPyTagged num); CPyTagged CPyTagged_Add_(CPyTagged left, CPyTagged right); CPyTagged CPyTagged_Subtract_(CPyTagged left, CPyTagged right); CPyTagged CPyTagged_Multiply_(CPyTagged left, CPyTagged right); CPyTagged CPyTagged_FloorDivide_(CPyTagged left, CPyTagged right); CPyTagged CPyTagged_Remainder_(CPyTagged left, CPyTagged right); CPyTagged CPyTagged_BitwiseLongOp_(CPyTagged a, CPyTagged b, char op); CPyTagged CPyTagged_Rshift_(CPyTagged left, CPyTagged right); CPyTagged CPyTagged_Lshift_(CPyTagged left, CPyTagged right); CPyTagged CPyTagged_BitLength(CPyTagged self); PyObject *CPyTagged_Str(CPyTagged n); CPyTagged CPyTagged_FromFloat(double f); PyObject *CPyLong_FromStrWithBase(PyObject *o, CPyTagged base); PyObject *CPyLong_FromStr(PyObject *o); PyObject *CPyBool_Str(bool b); int64_t CPyLong_AsInt64_(PyObject *o); int64_t CPyInt64_Divide(int64_t x, int64_t y); int64_t CPyInt64_Remainder(int64_t x, int64_t y); int32_t CPyLong_AsInt32_(PyObject *o); int32_t CPyInt32_Divide(int32_t x, int32_t y); int32_t CPyInt32_Remainder(int32_t x, int32_t y); void CPyInt32_Overflow(void); int16_t CPyLong_AsInt16_(PyObject *o); int16_t CPyInt16_Divide(int16_t x, int16_t y); int16_t CPyInt16_Remainder(int16_t x, int16_t y); void CPyInt16_Overflow(void); uint8_t CPyLong_AsUInt8_(PyObject *o); void CPyUInt8_Overflow(void); double CPyTagged_TrueDivide(CPyTagged x, CPyTagged y); static inline int CPyTagged_CheckLong(CPyTagged x) { return x & CPY_INT_TAG; } static inline int CPyTagged_CheckShort(CPyTagged x) { return !CPyTagged_CheckLong(x); } static inline void CPyTagged_INCREF(CPyTagged x) { if (unlikely(CPyTagged_CheckLong(x))) { CPyTagged_IncRef(x); } } static inline void CPyTagged_DECREF(CPyTagged x) { if (unlikely(CPyTagged_CheckLong(x))) { CPyTagged_DecRef(x); } } static inline void CPyTagged_XDECREF(CPyTagged x) { if (unlikely(CPyTagged_CheckLong(x))) { CPyTagged_XDecRef(x); } } static inline Py_ssize_t CPyTagged_ShortAsSsize_t(CPyTagged x) { // NOTE: Assume that we sign extend. return (Py_ssize_t)x >> 1; } static inline PyObject *CPyTagged_LongAsObject(CPyTagged x) { // NOTE: Assume target is not a short int. return (PyObject *)(x & ~CPY_INT_TAG); } static inline CPyTagged CPyTagged_FromObject(PyObject *object) { int overflow; // The overflow check knows about CPyTagged's width Py_ssize_t value = CPyLong_AsSsize_tAndOverflow(object, &overflow); if (unlikely(overflow != 0)) { Py_INCREF(object); return ((CPyTagged)object) | CPY_INT_TAG; } else { return value << 1; } } static inline CPyTagged CPyTagged_StealFromObject(PyObject *object) { int overflow; // The overflow check knows about CPyTagged's width Py_ssize_t value = CPyLong_AsSsize_tAndOverflow(object, &overflow); if (unlikely(overflow != 0)) { return ((CPyTagged)object) | CPY_INT_TAG; } else { Py_DECREF(object); return value << 1; } } static inline CPyTagged CPyTagged_BorrowFromObject(PyObject *object) { int overflow; // The overflow check knows about CPyTagged's width Py_ssize_t value = CPyLong_AsSsize_tAndOverflow(object, &overflow); if (unlikely(overflow != 0)) { return ((CPyTagged)object) | CPY_INT_TAG; } else { return value << 1; } } static inline bool CPyTagged_TooBig(Py_ssize_t value) { // Micro-optimized for the common case where it fits. return (size_t)value > CPY_TAGGED_MAX && (value >= 0 || value < CPY_TAGGED_MIN); } static inline bool CPyTagged_TooBigInt64(int64_t value) { // Micro-optimized for the common case where it fits. return (uint64_t)value > CPY_TAGGED_MAX && (value >= 0 || value < CPY_TAGGED_MIN); } static inline bool CPyTagged_IsAddOverflow(CPyTagged sum, CPyTagged left, CPyTagged right) { // This check was copied from some of my old code I believe that it works :-) return (Py_ssize_t)(sum ^ left) < 0 && (Py_ssize_t)(sum ^ right) < 0; } static inline bool CPyTagged_IsSubtractOverflow(CPyTagged diff, CPyTagged left, CPyTagged right) { // This check was copied from some of my old code I believe that it works :-) return (Py_ssize_t)(diff ^ left) < 0 && (Py_ssize_t)(diff ^ right) >= 0; } static inline bool CPyTagged_IsMultiplyOverflow(CPyTagged left, CPyTagged right) { // This is conservative -- return false only in a small number of all non-overflow cases return left >= (1U << (CPY_INT_BITS/2 - 1)) || right >= (1U << (CPY_INT_BITS/2 - 1)); } static inline bool CPyTagged_MaybeFloorDivideFault(CPyTagged left, CPyTagged right) { return right == 0 || left == -((size_t)1 << (CPY_INT_BITS-1)); } static inline bool CPyTagged_MaybeRemainderFault(CPyTagged left, CPyTagged right) { // Division/modulus can fault when dividing INT_MIN by -1, but we // do our mods on still-tagged integers with the low-bit clear, so // -1 is actually represented as -2 and can't overflow. // Mod by 0 can still fault though. return right == 0; } static inline bool CPyTagged_IsEq(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(left)) { return left == right; } else { return CPyTagged_IsEq_(left, right); } } static inline bool CPyTagged_IsNe(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(left)) { return left != right; } else { return !CPyTagged_IsEq_(left, right); } } static inline bool CPyTagged_IsLt(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right)) { return (Py_ssize_t)left < (Py_ssize_t)right; } else { return CPyTagged_IsLt_(left, right); } } static inline bool CPyTagged_IsGe(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right)) { return (Py_ssize_t)left >= (Py_ssize_t)right; } else { return !CPyTagged_IsLt_(left, right); } } static inline bool CPyTagged_IsGt(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right)) { return (Py_ssize_t)left > (Py_ssize_t)right; } else { return CPyTagged_IsLt_(right, left); } } static inline bool CPyTagged_IsLe(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right)) { return (Py_ssize_t)left <= (Py_ssize_t)right; } else { return !CPyTagged_IsLt_(right, left); } } static inline int64_t CPyLong_AsInt64(PyObject *o) { if (likely(PyLong_Check(o))) { PyLongObject *lobj = (PyLongObject *)o; Py_ssize_t size = Py_SIZE(lobj); if (likely(size == 1)) { // Fast path return CPY_LONG_DIGIT(lobj, 0); } else if (likely(size == 0)) { return 0; } } // Slow path return CPyLong_AsInt64_(o); } static inline int32_t CPyLong_AsInt32(PyObject *o) { if (likely(PyLong_Check(o))) { #if CPY_3_12_FEATURES PyLongObject *lobj = (PyLongObject *)o; size_t tag = CPY_LONG_TAG(lobj); if (likely(tag == (1 << CPY_NON_SIZE_BITS))) { // Fast path return CPY_LONG_DIGIT(lobj, 0); } else if (likely(tag == CPY_SIGN_ZERO)) { return 0; } #else PyLongObject *lobj = (PyLongObject *)o; Py_ssize_t size = lobj->ob_base.ob_size; if (likely(size == 1)) { // Fast path return CPY_LONG_DIGIT(lobj, 0); } else if (likely(size == 0)) { return 0; } #endif } // Slow path return CPyLong_AsInt32_(o); } static inline int16_t CPyLong_AsInt16(PyObject *o) { if (likely(PyLong_Check(o))) { #if CPY_3_12_FEATURES PyLongObject *lobj = (PyLongObject *)o; size_t tag = CPY_LONG_TAG(lobj); if (likely(tag == (1 << CPY_NON_SIZE_BITS))) { // Fast path digit x = CPY_LONG_DIGIT(lobj, 0); if (x < 0x8000) return x; } else if (likely(tag == CPY_SIGN_ZERO)) { return 0; } #else PyLongObject *lobj = (PyLongObject *)o; Py_ssize_t size = lobj->ob_base.ob_size; if (likely(size == 1)) { // Fast path digit x = lobj->ob_digit[0]; if (x < 0x8000) return x; } else if (likely(size == 0)) { return 0; } #endif } // Slow path return CPyLong_AsInt16_(o); } static inline uint8_t CPyLong_AsUInt8(PyObject *o) { if (likely(PyLong_Check(o))) { #if CPY_3_12_FEATURES PyLongObject *lobj = (PyLongObject *)o; size_t tag = CPY_LONG_TAG(lobj); if (likely(tag == (1 << CPY_NON_SIZE_BITS))) { // Fast path digit x = CPY_LONG_DIGIT(lobj, 0); if (x < 256) return x; } else if (likely(tag == CPY_SIGN_ZERO)) { return 0; } #else PyLongObject *lobj = (PyLongObject *)o; Py_ssize_t size = lobj->ob_base.ob_size; if (likely(size == 1)) { // Fast path digit x = lobj->ob_digit[0]; if (x < 256) return x; } else if (likely(size == 0)) { return 0; } #endif } // Slow path return CPyLong_AsUInt8_(o); } static inline CPyTagged CPyTagged_Negate(CPyTagged num) { if (likely(CPyTagged_CheckShort(num) && num != (CPyTagged) ((Py_ssize_t)1 << (CPY_INT_BITS - 1)))) { // The only possibility of an overflow error happening when negating a short is if we // attempt to negate the most negative number. return -num; } return CPyTagged_Negate_(num); } static inline CPyTagged CPyTagged_Add(CPyTagged left, CPyTagged right) { // TODO: Use clang/gcc extension __builtin_saddll_overflow instead. if (likely(CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right))) { CPyTagged sum = left + right; if (likely(!CPyTagged_IsAddOverflow(sum, left, right))) { return sum; } } return CPyTagged_Add_(left, right); } static inline CPyTagged CPyTagged_Subtract(CPyTagged left, CPyTagged right) { // TODO: Use clang/gcc extension __builtin_saddll_overflow instead. if (likely(CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right))) { CPyTagged diff = left - right; if (likely(!CPyTagged_IsSubtractOverflow(diff, left, right))) { return diff; } } return CPyTagged_Subtract_(left, right); } static inline CPyTagged CPyTagged_Multiply(CPyTagged left, CPyTagged right) { // TODO: Consider using some clang/gcc extension to check for overflow if (CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right)) { if (!CPyTagged_IsMultiplyOverflow(left, right)) { return left * CPyTagged_ShortAsSsize_t(right); } } return CPyTagged_Multiply_(left, right); } static inline CPyTagged CPyTagged_FloorDivide(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right) && !CPyTagged_MaybeFloorDivideFault(left, right)) { Py_ssize_t result = CPyTagged_ShortAsSsize_t(left) / CPyTagged_ShortAsSsize_t(right); if (((Py_ssize_t)left < 0) != (((Py_ssize_t)right) < 0)) { if (result * right != left) { // Round down result--; } } return result << 1; } return CPyTagged_FloorDivide_(left, right); } static inline CPyTagged CPyTagged_Remainder(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right) && !CPyTagged_MaybeRemainderFault(left, right)) { Py_ssize_t result = (Py_ssize_t)left % (Py_ssize_t)right; if (((Py_ssize_t)right < 0) != ((Py_ssize_t)left < 0) && result != 0) { result += right; } return result; } return CPyTagged_Remainder_(left, right); } // Bitwise '~' static inline CPyTagged CPyTagged_Invert(CPyTagged num) { if (likely(CPyTagged_CheckShort(num) && num != CPY_TAGGED_ABS_MIN)) { return ~num & ~CPY_INT_TAG; } return CPyTagged_Invert_(num); } // Bitwise '&' static inline CPyTagged CPyTagged_And(CPyTagged left, CPyTagged right) { if (likely(CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right))) { return left & right; } return CPyTagged_BitwiseLongOp_(left, right, '&'); } // Bitwise '|' static inline CPyTagged CPyTagged_Or(CPyTagged left, CPyTagged right) { if (likely(CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right))) { return left | right; } return CPyTagged_BitwiseLongOp_(left, right, '|'); } // Bitwise '^' static inline CPyTagged CPyTagged_Xor(CPyTagged left, CPyTagged right) { if (likely(CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right))) { return left ^ right; } return CPyTagged_BitwiseLongOp_(left, right, '^'); } // Bitwise '>>' static inline CPyTagged CPyTagged_Rshift(CPyTagged left, CPyTagged right) { if (likely(CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right) && (Py_ssize_t)right >= 0)) { CPyTagged count = CPyTagged_ShortAsSsize_t(right); if (unlikely(count >= CPY_INT_BITS)) { if ((Py_ssize_t)left >= 0) { return 0; } else { return CPyTagged_ShortFromInt(-1); } } return ((Py_ssize_t)left >> count) & ~CPY_INT_TAG; } return CPyTagged_Rshift_(left, right); } static inline bool IsShortLshiftOverflow(Py_ssize_t short_int, Py_ssize_t shift) { return ((Py_ssize_t)(short_int << shift) >> shift) != short_int; } // Bitwise '<<' static inline CPyTagged CPyTagged_Lshift(CPyTagged left, CPyTagged right) { if (likely(CPyTagged_CheckShort(left) && CPyTagged_CheckShort(right) && (Py_ssize_t)right >= 0 && right < CPY_INT_BITS * 2)) { CPyTagged shift = CPyTagged_ShortAsSsize_t(right); if (!IsShortLshiftOverflow(left, shift)) // Short integers, no overflow return left << shift; } return CPyTagged_Lshift_(left, right); } // Float operations double CPyFloat_FloorDivide(double x, double y); double CPyFloat_Pow(double x, double y); double CPyFloat_Sin(double x); double CPyFloat_Cos(double x); double CPyFloat_Tan(double x); double CPyFloat_Sqrt(double x); double CPyFloat_Exp(double x); double CPyFloat_Log(double x); CPyTagged CPyFloat_Floor(double x); CPyTagged CPyFloat_Ceil(double x); double CPyFloat_FromTagged(CPyTagged x); bool CPyFloat_IsInf(double x); bool CPyFloat_IsNaN(double x); // Generic operations (that work with arbitrary types) /* We use intentionally non-inlined decrefs in rarely executed code * paths since it pretty substantially speeds up compile time. We have * our own copies both to avoid the null check in Py_DecRef and to avoid * making an indirect PIC call. */ CPy_NOINLINE static void CPy_DecRef(PyObject *p) { CPy_DECREF(p); } CPy_NOINLINE static void CPy_XDecRef(PyObject *p) { CPy_XDECREF(p); } static inline CPyTagged CPyObject_Size(PyObject *obj) { Py_ssize_t s = PyObject_Size(obj); if (s < 0) { return CPY_INT_TAG; } else { // Technically __len__ could return a really big number, so we // should allow this to produce a boxed int. In practice it // shouldn't ever if the data structure actually contains all // the elements, but... return CPyTagged_FromSsize_t(s); } } #ifdef MYPYC_LOG_GETATTR static void CPy_LogGetAttr(const char *method, PyObject *obj, PyObject *attr) { PyObject *module = PyImport_ImportModule("getattr_hook"); if (module) { PyObject *res = PyObject_CallMethodObjArgs(module, method, obj, attr, NULL); Py_XDECREF(res); Py_DECREF(module); } PyErr_Clear(); } #else #define CPy_LogGetAttr(method, obj, attr) (void)0 #endif // Intercept a method call and log it. This needs to be a macro // because there is no API that accepts va_args for making a // call. Worse, it needs to use the comma operator to return the right // value. #define CPyObject_CallMethodObjArgs(obj, attr, ...) \ (CPy_LogGetAttr("log_method", (obj), (attr)), \ PyObject_CallMethodObjArgs((obj), (attr), __VA_ARGS__)) // This one is a macro for consistency with the above, I guess. #define CPyObject_GetAttr(obj, attr) \ (CPy_LogGetAttr("log", (obj), (attr)), \ PyObject_GetAttr((obj), (attr))) CPyTagged CPyObject_Hash(PyObject *o); PyObject *CPyObject_GetAttr3(PyObject *v, PyObject *name, PyObject *defl); PyObject *CPyIter_Next(PyObject *iter); PyObject *CPyNumber_Power(PyObject *base, PyObject *index); PyObject *CPyNumber_InPlacePower(PyObject *base, PyObject *index); PyObject *CPyObject_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end); // List operations PyObject *CPyList_Build(Py_ssize_t len, ...); PyObject *CPyList_GetItem(PyObject *list, CPyTagged index); PyObject *CPyList_GetItemShort(PyObject *list, CPyTagged index); PyObject *CPyList_GetItemBorrow(PyObject *list, CPyTagged index); PyObject *CPyList_GetItemShortBorrow(PyObject *list, CPyTagged index); PyObject *CPyList_GetItemInt64(PyObject *list, int64_t index); PyObject *CPyList_GetItemInt64Borrow(PyObject *list, int64_t index); bool CPyList_SetItem(PyObject *list, CPyTagged index, PyObject *value); void CPyList_SetItemUnsafe(PyObject *list, Py_ssize_t index, PyObject *value); bool CPyList_SetItemInt64(PyObject *list, int64_t index, PyObject *value); PyObject *CPyList_PopLast(PyObject *obj); PyObject *CPyList_Pop(PyObject *obj, CPyTagged index); CPyTagged CPyList_Count(PyObject *obj, PyObject *value); int CPyList_Insert(PyObject *list, CPyTagged index, PyObject *value); PyObject *CPyList_Extend(PyObject *o1, PyObject *o2); int CPyList_Remove(PyObject *list, PyObject *obj); CPyTagged CPyList_Index(PyObject *list, PyObject *obj); PyObject *CPySequence_Sort(PyObject *seq); PyObject *CPySequence_Multiply(PyObject *seq, CPyTagged t_size); PyObject *CPySequence_RMultiply(CPyTagged t_size, PyObject *seq); PyObject *CPySequence_InPlaceMultiply(PyObject *seq, CPyTagged t_size); PyObject *CPyList_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end); char CPyList_Clear(PyObject *list); PyObject *CPyList_Copy(PyObject *list); int CPySequence_Check(PyObject *obj); // Dict operations PyObject *CPyDict_GetItem(PyObject *dict, PyObject *key); int CPyDict_SetItem(PyObject *dict, PyObject *key, PyObject *value); PyObject *CPyDict_Get(PyObject *dict, PyObject *key, PyObject *fallback); PyObject *CPyDict_GetWithNone(PyObject *dict, PyObject *key); PyObject *CPyDict_SetDefault(PyObject *dict, PyObject *key, PyObject *value); PyObject *CPyDict_SetDefaultWithNone(PyObject *dict, PyObject *key); PyObject *CPyDict_SetDefaultWithEmptyDatatype(PyObject *dict, PyObject *key, int data_type); PyObject *CPyDict_Build(Py_ssize_t size, ...); int CPyDict_Update(PyObject *dict, PyObject *stuff); int CPyDict_UpdateInDisplay(PyObject *dict, PyObject *stuff); int CPyDict_UpdateFromAny(PyObject *dict, PyObject *stuff); PyObject *CPyDict_FromAny(PyObject *obj); PyObject *CPyDict_KeysView(PyObject *dict); PyObject *CPyDict_ValuesView(PyObject *dict); PyObject *CPyDict_ItemsView(PyObject *dict); PyObject *CPyDict_Keys(PyObject *dict); PyObject *CPyDict_Values(PyObject *dict); PyObject *CPyDict_Items(PyObject *dict); char CPyDict_Clear(PyObject *dict); PyObject *CPyDict_Copy(PyObject *dict); PyObject *CPyDict_GetKeysIter(PyObject *dict); PyObject *CPyDict_GetItemsIter(PyObject *dict); PyObject *CPyDict_GetValuesIter(PyObject *dict); tuple_T3CIO CPyDict_NextKey(PyObject *dict_or_iter, CPyTagged offset); tuple_T3CIO CPyDict_NextValue(PyObject *dict_or_iter, CPyTagged offset); tuple_T4CIOO CPyDict_NextItem(PyObject *dict_or_iter, CPyTagged offset); int CPyMapping_Check(PyObject *obj); // Check that dictionary didn't change size during iteration. static inline char CPyDict_CheckSize(PyObject *dict, Py_ssize_t size) { if (!PyDict_CheckExact(dict)) { // Dict subclasses will be checked by Python runtime. return 1; } Py_ssize_t dict_size = PyDict_Size(dict); if (size != dict_size) { PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration"); return 0; } return 1; } // Str operations // Macros for strip type. These values are copied from CPython. #define LEFTSTRIP 0 #define RIGHTSTRIP 1 #define BOTHSTRIP 2 char CPyStr_Equal(PyObject *str1, PyObject *str2); char CPyStr_EqualLiteral(PyObject *str, PyObject *literal_str, Py_ssize_t literal_length); PyObject *CPyStr_Build(Py_ssize_t len, ...); PyObject *CPyStr_GetItem(PyObject *str, CPyTagged index); PyObject *CPyStr_GetItemUnsafe(PyObject *str, Py_ssize_t index); CPyTagged CPyStr_Find(PyObject *str, PyObject *substr, CPyTagged start, int direction); CPyTagged CPyStr_FindWithEnd(PyObject *str, PyObject *substr, CPyTagged start, CPyTagged end, int direction); PyObject *CPyStr_Split(PyObject *str, PyObject *sep, CPyTagged max_split); PyObject *CPyStr_RSplit(PyObject *str, PyObject *sep, CPyTagged max_split); PyObject *_CPyStr_Strip(PyObject *self, int strip_type, PyObject *sep); static inline PyObject *CPyStr_Strip(PyObject *self, PyObject *sep) { return _CPyStr_Strip(self, BOTHSTRIP, sep); } static inline PyObject *CPyStr_LStrip(PyObject *self, PyObject *sep) { return _CPyStr_Strip(self, LEFTSTRIP, sep); } static inline PyObject *CPyStr_RStrip(PyObject *self, PyObject *sep) { return _CPyStr_Strip(self, RIGHTSTRIP, sep); } PyObject *CPyStr_Replace(PyObject *str, PyObject *old_substr, PyObject *new_substr, CPyTagged max_replace); PyObject *CPyStr_Append(PyObject *o1, PyObject *o2); PyObject *CPyStr_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end); int CPyStr_Startswith(PyObject *self, PyObject *subobj); int CPyStr_Endswith(PyObject *self, PyObject *subobj); PyObject *CPyStr_Removeprefix(PyObject *self, PyObject *prefix); PyObject *CPyStr_Removesuffix(PyObject *self, PyObject *suffix); bool CPyStr_IsTrue(PyObject *obj); Py_ssize_t CPyStr_Size_size_t(PyObject *str); PyObject *CPy_Decode(PyObject *obj, PyObject *encoding, PyObject *errors); PyObject *CPy_DecodeUTF8(PyObject *bytes); PyObject *CPy_DecodeASCII(PyObject *bytes); PyObject *CPy_DecodeLatin1(PyObject *bytes); PyObject *CPy_Encode(PyObject *obj, PyObject *encoding, PyObject *errors); Py_ssize_t CPyStr_Count(PyObject *unicode, PyObject *substring, CPyTagged start); Py_ssize_t CPyStr_CountFull(PyObject *unicode, PyObject *substring, CPyTagged start, CPyTagged end); CPyTagged CPyStr_Ord(PyObject *obj); // Bytes operations PyObject *CPyBytes_Build(Py_ssize_t len, ...); PyObject *CPyBytes_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end); CPyTagged CPyBytes_GetItem(PyObject *o, CPyTagged index); PyObject *CPyBytes_Concat(PyObject *a, PyObject *b); PyObject *CPyBytes_Join(PyObject *sep, PyObject *iter); CPyTagged CPyBytes_Ord(PyObject *obj); int CPyBytes_Compare(PyObject *left, PyObject *right); // Set operations bool CPySet_Remove(PyObject *set, PyObject *key); // Tuple operations PyObject *CPySequenceTuple_GetItem(PyObject *tuple, CPyTagged index); PyObject *CPySequenceTuple_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end); PyObject *CPySequenceTuple_GetItemUnsafe(PyObject *tuple, Py_ssize_t index); void CPySequenceTuple_SetItemUnsafe(PyObject *tuple, Py_ssize_t index, PyObject *value); // Exception operations // mypyc is not very good at dealing with refcount management of // pointers that might be NULL. As a workaround for this, the // exception APIs that might want to return NULL pointers instead // return properly refcounted pointers to this dummy object. struct ExcDummyStruct { PyObject_HEAD }; extern struct ExcDummyStruct _CPy_ExcDummyStruct; extern PyObject *_CPy_ExcDummy; static inline void _CPy_ToDummy(PyObject **p) { if (*p == NULL) { Py_INCREF(_CPy_ExcDummy); *p = _CPy_ExcDummy; } } static inline PyObject *_CPy_FromDummy(PyObject *p) { if (p == _CPy_ExcDummy) return NULL; Py_INCREF(p); return p; } static int CPy_NoErrOccurred(void) { return PyErr_Occurred() == NULL; } static inline bool CPy_KeepPropagating(void) { return 0; } // We want to avoid the public PyErr_GetExcInfo API for these because // it requires a bunch of spurious refcount traffic on the parts of // the triple we don't care about. #define CPy_ExcState() PyThreadState_GET()->exc_info void CPy_Raise(PyObject *exc); void CPy_Reraise(void); void CPyErr_SetObjectAndTraceback(PyObject *type, PyObject *value, PyObject *traceback); tuple_T3OOO CPy_CatchError(void); void CPy_RestoreExcInfo(tuple_T3OOO info); bool CPy_ExceptionMatches(PyObject *type); PyObject *CPy_GetExcValue(void); tuple_T3OOO CPy_GetExcInfo(void); void _CPy_GetExcInfo(PyObject **p_type, PyObject **p_value, PyObject **p_traceback); void CPyError_OutOfMemory(void); void CPy_TypeError(const char *expected, PyObject *value); void CPy_AddTraceback(const char *filename, const char *funcname, int line, PyObject *globals); void CPy_TypeErrorTraceback(const char *filename, const char *funcname, int line, PyObject *globals, const char *expected, PyObject *value); void CPy_AttributeError(const char *filename, const char *funcname, const char *classname, const char *attrname, int line, PyObject *globals); // Misc operations #define CPy_TRASHCAN_BEGIN(op, dealloc) Py_TRASHCAN_BEGIN(op, dealloc) #define CPy_TRASHCAN_END(op) Py_TRASHCAN_END // Tweaked version of _PyArg_Parser in CPython typedef struct CPyArg_Parser { const char *format; const char * const *keywords; const char *fname; const char *custom_msg; int pos; /* number of positional-only arguments */ int min; /* minimal number of arguments */ int max; /* maximal number of positional arguments */ int has_required_kws; /* are there any keyword-only arguments? */ int required_kwonly_start; int varargs; /* does the function accept *args or **kwargs? */ PyObject *kwtuple; /* tuple of keyword parameter names */ struct CPyArg_Parser *next; } CPyArg_Parser; // mypy lets ints silently coerce to floats, so a mypyc runtime float // might be an int also static inline bool CPyFloat_Check(PyObject *o) { return PyFloat_Check(o) || PyLong_Check(o); } // TODO: find an unified way to avoid inline functions in non-C back ends that can not // use inline functions static inline bool CPy_TypeCheck(PyObject *o, PyObject *type) { return PyObject_TypeCheck(o, (PyTypeObject *)type); } static inline PyObject *CPy_TYPE(PyObject *obj) { PyObject *result = (PyObject *)Py_TYPE(obj); Py_INCREF(result); return result; } PyObject *CPy_CalculateMetaclass(PyObject *type, PyObject *o); PyObject *CPy_GetCoro(PyObject *obj); PyObject *CPyIter_Send(PyObject *iter, PyObject *val); int CPy_YieldFromErrorHandle(PyObject *iter, PyObject **outp); PyObject *CPy_FetchStopIterationValue(void); PyObject *CPyType_FromTemplate(PyObject *template_, PyObject *orig_bases, PyObject *modname); PyObject *CPyType_FromTemplateWrapper(PyObject *template_, PyObject *orig_bases, PyObject *modname); int CPyDataclass_SleightOfHand(PyObject *dataclass_dec, PyObject *tp, PyObject *dict, PyObject *annotations, PyObject *dataclass_type); PyObject *CPyPickle_SetState(PyObject *obj, PyObject *state); PyObject *CPyPickle_GetState(PyObject *obj); CPyTagged CPyTagged_Id(PyObject *o); void CPyDebug_Print(const char *msg); void CPyDebug_PrintObject(PyObject *obj); void CPy_Init(void); int CPyArg_ParseTupleAndKeywords(PyObject *, PyObject *, const char *, const char *, const char * const *, ...); int CPyArg_ParseStackAndKeywords(PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames, CPyArg_Parser *parser, ...); int CPyArg_ParseStackAndKeywordsNoArgs(PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames, CPyArg_Parser *parser, ...); int CPyArg_ParseStackAndKeywordsOneArg(PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames, CPyArg_Parser *parser, ...); int CPyArg_ParseStackAndKeywordsSimple(PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames, CPyArg_Parser *parser, ...); int CPySequence_CheckUnpackCount(PyObject *sequence, Py_ssize_t expected); int CPyStatics_Initialize(PyObject **statics, const char * const *strings, const char * const *bytestrings, const char * const *ints, const double *floats, const double *complex_numbers, const int *tuples, const int *frozensets); PyObject *CPy_Super(PyObject *builtins, PyObject *self); PyObject *CPy_CallReverseOpMethod(PyObject *left, PyObject *right, const char *op, _Py_Identifier *method); bool CPyImport_ImportMany(PyObject *modules, CPyModule **statics[], PyObject *globals, PyObject *tb_path, PyObject *tb_function, Py_ssize_t *tb_lines); PyObject *CPyImport_ImportFromMany(PyObject *mod_id, PyObject *names, PyObject *as_names, PyObject *globals); PyObject *CPySingledispatch_RegisterFunction(PyObject *singledispatch_func, PyObject *cls, PyObject *func); PyObject *CPy_GetAIter(PyObject *obj); PyObject *CPy_GetANext(PyObject *aiter); void CPy_SetTypeAliasTypeComputeFunction(PyObject *alias, PyObject *compute_value); void CPyTrace_LogEvent(const char *location, const char *line, const char *op, const char *details); static inline PyObject *CPyObject_GenericGetAttr(PyObject *self, PyObject *name) { return _PyObject_GenericGetAttrWithDict(self, name, NULL, 1); } static inline int CPyObject_GenericSetAttr(PyObject *self, PyObject *name, PyObject *value) { return _PyObject_GenericSetAttrWithDict(self, name, value, NULL); } PyObject *CPy_SetupObject(PyObject *type); #if CPY_3_11_FEATURES PyObject *CPy_GetName(PyObject *obj); #endif #if CPY_3_14_FEATURES void CPy_SetImmortal(PyObject *obj); #endif #ifdef __cplusplus } #endif #endif // CPY_CPY_H ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.649766 mypy-1.19.0/mypyc/lib-rt/base64/0000755000175100017510000000000015112310012015646 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.427764 mypy-1.19.0/mypyc/lib-rt/base64/arch/0000755000175100017510000000000015112310011016562 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.649766 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx/0000755000175100017510000000000015112310012017361 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx/codec.c0000644000175100017510000000272115112307767020633 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #if HAVE_AVX #include // Only enable inline assembly on supported compilers and on 64-bit CPUs. #ifndef BASE64_AVX_USE_ASM # if (defined(__GNUC__) || defined(__clang__)) && BASE64_WORDSIZE == 64 # define BASE64_AVX_USE_ASM 1 # else # define BASE64_AVX_USE_ASM 0 # endif #endif #include "../ssse3/dec_reshuffle.c" #include "../ssse3/dec_loop.c" #if BASE64_AVX_USE_ASM # include "./enc_loop_asm.c" #else # include "../ssse3/enc_translate.c" # include "../ssse3/enc_reshuffle.c" # include "../ssse3/enc_loop.c" #endif #endif // HAVE_AVX void base64_stream_encode_avx BASE64_ENC_PARAMS { #if HAVE_AVX #include "../generic/enc_head.c" // For supported compilers, use a hand-optimized inline assembly // encoder. Otherwise fall back on the SSSE3 encoder, but compiled with // AVX flags to generate better optimized AVX code. #if BASE64_AVX_USE_ASM enc_loop_avx(&s, &slen, &o, &olen); #else enc_loop_ssse3(&s, &slen, &o, &olen); #endif #include "../generic/enc_tail.c" #else base64_enc_stub(state, src, srclen, out, outlen); #endif } int base64_stream_decode_avx BASE64_DEC_PARAMS { #if HAVE_AVX #include "../generic/dec_head.c" dec_loop_ssse3(&s, &slen, &o, &olen); #include "../generic/dec_tail.c" #else return base64_dec_stub(state, src, srclen, out, outlen); #endif } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx/enc_loop_asm.c0000644000175100017510000002214215112307767022213 0ustar00runnerrunner// Apologies in advance for combining the preprocessor with inline assembly, // two notoriously gnarly parts of C, but it was necessary to avoid a lot of // code repetition. The preprocessor is used to template large sections of // inline assembly that differ only in the registers used. If the code was // written out by hand, it would become very large and hard to audit. // Generate a block of inline assembly that loads register R0 from memory. The // offset at which the register is loaded is set by the given round. #define LOAD(R0, ROUND) \ "vlddqu ("#ROUND" * 12)(%[src]), %["R0"] \n\t" // Generate a block of inline assembly that deinterleaves and shuffles register // R0 using preloaded constants. Outputs in R0 and R1. #define SHUF(R0, R1, R2) \ "vpshufb %[lut0], %["R0"], %["R1"] \n\t" \ "vpand %["R1"], %[msk0], %["R2"] \n\t" \ "vpand %["R1"], %[msk2], %["R1"] \n\t" \ "vpmulhuw %["R2"], %[msk1], %["R2"] \n\t" \ "vpmullw %["R1"], %[msk3], %["R1"] \n\t" \ "vpor %["R1"], %["R2"], %["R1"] \n\t" // Generate a block of inline assembly that takes R0 and R1 and translates // their contents to the base64 alphabet, using preloaded constants. #define TRAN(R0, R1, R2) \ "vpsubusb %[n51], %["R1"], %["R0"] \n\t" \ "vpcmpgtb %[n25], %["R1"], %["R2"] \n\t" \ "vpsubb %["R2"], %["R0"], %["R0"] \n\t" \ "vpshufb %["R0"], %[lut1], %["R2"] \n\t" \ "vpaddb %["R1"], %["R2"], %["R0"] \n\t" // Generate a block of inline assembly that stores the given register R0 at an // offset set by the given round. #define STOR(R0, ROUND) \ "vmovdqu %["R0"], ("#ROUND" * 16)(%[dst]) \n\t" // Generate a block of inline assembly that generates a single self-contained // encoder round: fetch the data, process it, and store the result. Then update // the source and destination pointers. #define ROUND() \ LOAD("a", 0) \ SHUF("a", "b", "c") \ TRAN("a", "b", "c") \ STOR("a", 0) \ "add $12, %[src] \n\t" \ "add $16, %[dst] \n\t" // Define a macro that initiates a three-way interleaved encoding round by // preloading registers a, b and c from memory. // The register graph shows which registers are in use during each step, and // is a visual aid for choosing registers for that step. Symbol index: // // + indicates that a register is loaded by that step. // | indicates that a register is in use and must not be touched. // - indicates that a register is decommissioned by that step. // x indicates that a register is used as a temporary by that step. // V indicates that a register is an input or output to the macro. // #define ROUND_3_INIT() /* a b c d e f */ \ LOAD("a", 0) /* + */ \ SHUF("a", "d", "e") /* | + x */ \ LOAD("b", 1) /* | + | */ \ TRAN("a", "d", "e") /* | | - x */ \ LOAD("c", 2) /* V V V */ // Define a macro that translates, shuffles and stores the input registers A, B // and C, and preloads registers D, E and F for the next round. // This macro can be arbitrarily daisy-chained by feeding output registers D, E // and F back into the next round as input registers A, B and C. The macro // carefully interleaves memory operations with data operations for optimal // pipelined performance. #define ROUND_3(ROUND, A,B,C,D,E,F) /* A B C D E F */ \ LOAD(D, (ROUND + 3)) /* V V V + */ \ SHUF(B, E, F) /* | | | | + x */ \ STOR(A, (ROUND + 0)) /* - | | | | */ \ TRAN(B, E, F) /* | | | - x */ \ LOAD(E, (ROUND + 4)) /* | | | + */ \ SHUF(C, A, F) /* + | | | | x */ \ STOR(B, (ROUND + 1)) /* | - | | | */ \ TRAN(C, A, F) /* - | | | x */ \ LOAD(F, (ROUND + 5)) /* | | | + */ \ SHUF(D, A, B) /* + x | | | | */ \ STOR(C, (ROUND + 2)) /* | - | | | */ \ TRAN(D, A, B) /* - x V V V */ // Define a macro that terminates a ROUND_3 macro by taking pre-loaded // registers D, E and F, and translating, shuffling and storing them. #define ROUND_3_END(ROUND, A,B,C,D,E,F) /* A B C D E F */ \ SHUF(E, A, B) /* + x V V V */ \ STOR(D, (ROUND + 3)) /* | - | | */ \ TRAN(E, A, B) /* - x | | */ \ SHUF(F, C, D) /* + x | | */ \ STOR(E, (ROUND + 4)) /* | - | */ \ TRAN(F, C, D) /* - x | */ \ STOR(F, (ROUND + 5)) /* - */ // Define a type A round. Inputs are a, b, and c, outputs are d, e, and f. #define ROUND_3_A(ROUND) \ ROUND_3(ROUND, "a", "b", "c", "d", "e", "f") // Define a type B round. Inputs and outputs are swapped with regard to type A. #define ROUND_3_B(ROUND) \ ROUND_3(ROUND, "d", "e", "f", "a", "b", "c") // Terminating macro for a type A round. #define ROUND_3_A_LAST(ROUND) \ ROUND_3_A(ROUND) \ ROUND_3_END(ROUND, "a", "b", "c", "d", "e", "f") // Terminating macro for a type B round. #define ROUND_3_B_LAST(ROUND) \ ROUND_3_B(ROUND) \ ROUND_3_END(ROUND, "d", "e", "f", "a", "b", "c") // Suppress clang's warning that the literal string in the asm statement is // overlong (longer than the ISO-mandated minimum size of 4095 bytes for C99 // compilers). It may be true, but the goal here is not C99 portability. #pragma GCC diagnostic push #pragma GCC diagnostic ignored "-Woverlength-strings" static inline void enc_loop_avx (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { // For a clearer explanation of the algorithm used by this function, // please refer to the plain (not inline assembly) implementation. This // function follows the same basic logic. if (*slen < 16) { return; } // Process blocks of 12 bytes at a time. Input is read in blocks of 16 // bytes, so "reserve" four bytes from the input buffer to ensure that // we never read beyond the end of the input buffer. size_t rounds = (*slen - 4) / 12; *slen -= rounds * 12; // 12 bytes consumed per round *olen += rounds * 16; // 16 bytes produced per round // Number of times to go through the 36x loop. size_t loops = rounds / 36; // Number of rounds remaining after the 36x loop. rounds %= 36; // Lookup tables. const __m128i lut0 = _mm_set_epi8( 10, 11, 9, 10, 7, 8, 6, 7, 4, 5, 3, 4, 1, 2, 0, 1); const __m128i lut1 = _mm_setr_epi8( 65, 71, -4, -4, -4, -4, -4, -4, -4, -4, -4, -4, -19, -16, 0, 0); // Temporary registers. __m128i a, b, c, d, e, f; __asm__ volatile ( // If there are 36 rounds or more, enter a 36x unrolled loop of // interleaved encoding rounds. The rounds interleave memory // operations (load/store) with data operations (table lookups, // etc) to maximize pipeline throughput. " test %[loops], %[loops] \n\t" " jz 18f \n\t" " jmp 36f \n\t" " \n\t" ".balign 64 \n\t" "36: " ROUND_3_INIT() " " ROUND_3_A( 0) " " ROUND_3_B( 3) " " ROUND_3_A( 6) " " ROUND_3_B( 9) " " ROUND_3_A(12) " " ROUND_3_B(15) " " ROUND_3_A(18) " " ROUND_3_B(21) " " ROUND_3_A(24) " " ROUND_3_B(27) " " ROUND_3_A_LAST(30) " add $(12 * 36), %[src] \n\t" " add $(16 * 36), %[dst] \n\t" " dec %[loops] \n\t" " jnz 36b \n\t" // Enter an 18x unrolled loop for rounds of 18 or more. "18: cmp $18, %[rounds] \n\t" " jl 9f \n\t" " " ROUND_3_INIT() " " ROUND_3_A(0) " " ROUND_3_B(3) " " ROUND_3_A(6) " " ROUND_3_B(9) " " ROUND_3_A_LAST(12) " sub $18, %[rounds] \n\t" " add $(12 * 18), %[src] \n\t" " add $(16 * 18), %[dst] \n\t" // Enter a 9x unrolled loop for rounds of 9 or more. "9: cmp $9, %[rounds] \n\t" " jl 6f \n\t" " " ROUND_3_INIT() " " ROUND_3_A(0) " " ROUND_3_B_LAST(3) " sub $9, %[rounds] \n\t" " add $(12 * 9), %[src] \n\t" " add $(16 * 9), %[dst] \n\t" // Enter a 6x unrolled loop for rounds of 6 or more. "6: cmp $6, %[rounds] \n\t" " jl 55f \n\t" " " ROUND_3_INIT() " " ROUND_3_A_LAST(0) " sub $6, %[rounds] \n\t" " add $(12 * 6), %[src] \n\t" " add $(16 * 6), %[dst] \n\t" // Dispatch the remaining rounds 0..5. "55: cmp $3, %[rounds] \n\t" " jg 45f \n\t" " je 3f \n\t" " cmp $1, %[rounds] \n\t" " jg 2f \n\t" " je 1f \n\t" " jmp 0f \n\t" "45: cmp $4, %[rounds] \n\t" " je 4f \n\t" // Block of non-interlaced encoding rounds, which can each // individually be jumped to. Rounds fall through to the next. "5: " ROUND() "4: " ROUND() "3: " ROUND() "2: " ROUND() "1: " ROUND() "0: \n\t" // Outputs (modified). : [rounds] "+r" (rounds), [loops] "+r" (loops), [src] "+r" (*s), [dst] "+r" (*o), [a] "=&x" (a), [b] "=&x" (b), [c] "=&x" (c), [d] "=&x" (d), [e] "=&x" (e), [f] "=&x" (f) // Inputs (not modified). : [lut0] "x" (lut0), [lut1] "x" (lut1), [msk0] "x" (_mm_set1_epi32(0x0FC0FC00)), [msk1] "x" (_mm_set1_epi32(0x04000040)), [msk2] "x" (_mm_set1_epi32(0x003F03F0)), [msk3] "x" (_mm_set1_epi32(0x01000010)), [n51] "x" (_mm_set1_epi8(51)), [n25] "x" (_mm_set1_epi8(25)) // Clobbers. : "cc", "memory" ); } #pragma GCC diagnostic pop ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.650766 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx2/0000755000175100017510000000000015112310012017443 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx2/codec.c0000644000175100017510000000225215112307767020714 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #if HAVE_AVX2 #include // Only enable inline assembly on supported compilers and on 64-bit CPUs. #ifndef BASE64_AVX2_USE_ASM # if (defined(__GNUC__) || defined(__clang__)) && BASE64_WORDSIZE == 64 # define BASE64_AVX2_USE_ASM 1 # else # define BASE64_AVX2_USE_ASM 0 # endif #endif #include "./dec_reshuffle.c" #include "./dec_loop.c" #if BASE64_AVX2_USE_ASM # include "./enc_loop_asm.c" #else # include "./enc_translate.c" # include "./enc_reshuffle.c" # include "./enc_loop.c" #endif #endif // HAVE_AVX2 void base64_stream_encode_avx2 BASE64_ENC_PARAMS { #if HAVE_AVX2 #include "../generic/enc_head.c" enc_loop_avx2(&s, &slen, &o, &olen); #include "../generic/enc_tail.c" #else base64_enc_stub(state, src, srclen, out, outlen); #endif } int base64_stream_decode_avx2 BASE64_DEC_PARAMS { #if HAVE_AVX2 #include "../generic/dec_head.c" dec_loop_avx2(&s, &slen, &o, &olen); #include "../generic/dec_tail.c" #else return base64_dec_stub(state, src, srclen, out, outlen); #endif } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx2/dec_loop.c0000644000175100017510000000623515112307767021430 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE int dec_loop_avx2_inner (const uint8_t **s, uint8_t **o, size_t *rounds) { const __m256i lut_lo = _mm256_setr_epi8( 0x15, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x13, 0x1A, 0x1B, 0x1B, 0x1B, 0x1A, 0x15, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x13, 0x1A, 0x1B, 0x1B, 0x1B, 0x1A); const __m256i lut_hi = _mm256_setr_epi8( 0x10, 0x10, 0x01, 0x02, 0x04, 0x08, 0x04, 0x08, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x01, 0x02, 0x04, 0x08, 0x04, 0x08, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10); const __m256i lut_roll = _mm256_setr_epi8( 0, 16, 19, 4, -65, -65, -71, -71, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 19, 4, -65, -65, -71, -71, 0, 0, 0, 0, 0, 0, 0, 0); const __m256i mask_2F = _mm256_set1_epi8(0x2F); // Load input: __m256i str = _mm256_loadu_si256((__m256i *) *s); // See the SSSE3 decoder for an explanation of the algorithm. const __m256i hi_nibbles = _mm256_and_si256(_mm256_srli_epi32(str, 4), mask_2F); const __m256i lo_nibbles = _mm256_and_si256(str, mask_2F); const __m256i hi = _mm256_shuffle_epi8(lut_hi, hi_nibbles); const __m256i lo = _mm256_shuffle_epi8(lut_lo, lo_nibbles); if (!_mm256_testz_si256(lo, hi)) { return 0; } const __m256i eq_2F = _mm256_cmpeq_epi8(str, mask_2F); const __m256i roll = _mm256_shuffle_epi8(lut_roll, _mm256_add_epi8(eq_2F, hi_nibbles)); // Now simply add the delta values to the input: str = _mm256_add_epi8(str, roll); // Reshuffle the input to packed 12-byte output format: str = dec_reshuffle(str); // Store the output: _mm256_storeu_si256((__m256i *) *o, str); *s += 32; *o += 24; *rounds -= 1; return 1; } static inline void dec_loop_avx2 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 45) { return; } // Process blocks of 32 bytes per round. Because 8 extra zero bytes are // written after the output, ensure that there will be at least 13 // bytes of input data left to cover the gap. (11 data bytes and up to // two end-of-string markers.) size_t rounds = (*slen - 13) / 32; *slen -= rounds * 32; // 32 bytes consumed per round *olen += rounds * 24; // 24 bytes produced per round do { if (rounds >= 8) { if (dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds)) { continue; } break; } if (rounds >= 4) { if (dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds)) { continue; } break; } if (rounds >= 2) { if (dec_loop_avx2_inner(s, o, &rounds) && dec_loop_avx2_inner(s, o, &rounds)) { continue; } break; } dec_loop_avx2_inner(s, o, &rounds); break; } while (rounds > 0); // Adjust for any rounds that were skipped: *slen += rounds * 32; *olen -= rounds * 24; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx2/dec_reshuffle.c0000644000175100017510000000243015112307767022433 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE __m256i dec_reshuffle (const __m256i in) { // in, lower lane, bits, upper case are most significant bits, lower // case are least significant bits: // 00llllll 00kkkkLL 00jjKKKK 00JJJJJJ // 00iiiiii 00hhhhII 00ggHHHH 00GGGGGG // 00ffffff 00eeeeFF 00ddEEEE 00DDDDDD // 00cccccc 00bbbbCC 00aaBBBB 00AAAAAA const __m256i merge_ab_and_bc = _mm256_maddubs_epi16(in, _mm256_set1_epi32(0x01400140)); // 0000kkkk LLllllll 0000JJJJ JJjjKKKK // 0000hhhh IIiiiiii 0000GGGG GGggHHHH // 0000eeee FFffffff 0000DDDD DDddEEEE // 0000bbbb CCcccccc 0000AAAA AAaaBBBB __m256i out = _mm256_madd_epi16(merge_ab_and_bc, _mm256_set1_epi32(0x00011000)); // 00000000 JJJJJJjj KKKKkkkk LLllllll // 00000000 GGGGGGgg HHHHhhhh IIiiiiii // 00000000 DDDDDDdd EEEEeeee FFffffff // 00000000 AAAAAAaa BBBBbbbb CCcccccc // Pack bytes together in each lane: out = _mm256_shuffle_epi8(out, _mm256_setr_epi8( 2, 1, 0, 6, 5, 4, 10, 9, 8, 14, 13, 12, -1, -1, -1, -1, 2, 1, 0, 6, 5, 4, 10, 9, 8, 14, 13, 12, -1, -1, -1, -1)); // 00000000 00000000 00000000 00000000 // LLllllll KKKKkkkk JJJJJJjj IIiiiiii // HHHHhhhh GGGGGGgg FFffffff EEEEeeee // DDDDDDdd CCcccccc BBBBbbbb AAAAAAaa // Pack lanes: return _mm256_permutevar8x32_epi32(out, _mm256_setr_epi32(0, 1, 2, 4, 5, 6, -1, -1)); } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx2/enc_loop.c0000644000175100017510000000436515112307767021444 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE void enc_loop_avx2_inner_first (const uint8_t **s, uint8_t **o) { // First load is done at s - 0 to not get a segfault: __m256i src = _mm256_loadu_si256((__m256i *) *s); // Shift by 4 bytes, as required by enc_reshuffle: src = _mm256_permutevar8x32_epi32(src, _mm256_setr_epi32(0, 0, 1, 2, 3, 4, 5, 6)); // Reshuffle, translate, store: src = enc_reshuffle(src); src = enc_translate(src); _mm256_storeu_si256((__m256i *) *o, src); // Subsequent loads will be done at s - 4, set pointer for next round: *s += 20; *o += 32; } static BASE64_FORCE_INLINE void enc_loop_avx2_inner (const uint8_t **s, uint8_t **o) { // Load input: __m256i src = _mm256_loadu_si256((__m256i *) *s); // Reshuffle, translate, store: src = enc_reshuffle(src); src = enc_translate(src); _mm256_storeu_si256((__m256i *) *o, src); *s += 24; *o += 32; } static inline void enc_loop_avx2 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 32) { return; } // Process blocks of 24 bytes at a time. Because blocks are loaded 32 // bytes at a time an offset of -4, ensure that there will be at least // 4 remaining bytes after the last round, so that the final read will // not pass beyond the bounds of the input buffer: size_t rounds = (*slen - 4) / 24; *slen -= rounds * 24; // 24 bytes consumed per round *olen += rounds * 32; // 32 bytes produced per round // The first loop iteration requires special handling to ensure that // the read, which is done at an offset, does not underflow the buffer: enc_loop_avx2_inner_first(s, o); rounds--; while (rounds > 0) { if (rounds >= 8) { enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); rounds -= 8; continue; } if (rounds >= 4) { enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); rounds -= 4; continue; } if (rounds >= 2) { enc_loop_avx2_inner(s, o); enc_loop_avx2_inner(s, o); rounds -= 2; continue; } enc_loop_avx2_inner(s, o); break; } // Add the offset back: *s += 4; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx2/enc_loop_asm.c0000644000175100017510000002432515112307767022302 0ustar00runnerrunner// Apologies in advance for combining the preprocessor with inline assembly, // two notoriously gnarly parts of C, but it was necessary to avoid a lot of // code repetition. The preprocessor is used to template large sections of // inline assembly that differ only in the registers used. If the code was // written out by hand, it would become very large and hard to audit. // Generate a block of inline assembly that loads register R0 from memory. The // offset at which the register is loaded is set by the given round and a // constant offset. #define LOAD(R0, ROUND, OFFSET) \ "vlddqu ("#ROUND" * 24 + "#OFFSET")(%[src]), %["R0"] \n\t" // Generate a block of inline assembly that deinterleaves and shuffles register // R0 using preloaded constants. Outputs in R0 and R1. #define SHUF(R0, R1, R2) \ "vpshufb %[lut0], %["R0"], %["R1"] \n\t" \ "vpand %["R1"], %[msk0], %["R2"] \n\t" \ "vpand %["R1"], %[msk2], %["R1"] \n\t" \ "vpmulhuw %["R2"], %[msk1], %["R2"] \n\t" \ "vpmullw %["R1"], %[msk3], %["R1"] \n\t" \ "vpor %["R1"], %["R2"], %["R1"] \n\t" // Generate a block of inline assembly that takes R0 and R1 and translates // their contents to the base64 alphabet, using preloaded constants. #define TRAN(R0, R1, R2) \ "vpsubusb %[n51], %["R1"], %["R0"] \n\t" \ "vpcmpgtb %[n25], %["R1"], %["R2"] \n\t" \ "vpsubb %["R2"], %["R0"], %["R0"] \n\t" \ "vpshufb %["R0"], %[lut1], %["R2"] \n\t" \ "vpaddb %["R1"], %["R2"], %["R0"] \n\t" // Generate a block of inline assembly that stores the given register R0 at an // offset set by the given round. #define STOR(R0, ROUND) \ "vmovdqu %["R0"], ("#ROUND" * 32)(%[dst]) \n\t" // Generate a block of inline assembly that generates a single self-contained // encoder round: fetch the data, process it, and store the result. Then update // the source and destination pointers. #define ROUND() \ LOAD("a", 0, -4) \ SHUF("a", "b", "c") \ TRAN("a", "b", "c") \ STOR("a", 0) \ "add $24, %[src] \n\t" \ "add $32, %[dst] \n\t" // Define a macro that initiates a three-way interleaved encoding round by // preloading registers a, b and c from memory. // The register graph shows which registers are in use during each step, and // is a visual aid for choosing registers for that step. Symbol index: // // + indicates that a register is loaded by that step. // | indicates that a register is in use and must not be touched. // - indicates that a register is decommissioned by that step. // x indicates that a register is used as a temporary by that step. // V indicates that a register is an input or output to the macro. // #define ROUND_3_INIT() /* a b c d e f */ \ LOAD("a", 0, -4) /* + */ \ SHUF("a", "d", "e") /* | + x */ \ LOAD("b", 1, -4) /* | + | */ \ TRAN("a", "d", "e") /* | | - x */ \ LOAD("c", 2, -4) /* V V V */ // Define a macro that translates, shuffles and stores the input registers A, B // and C, and preloads registers D, E and F for the next round. // This macro can be arbitrarily daisy-chained by feeding output registers D, E // and F back into the next round as input registers A, B and C. The macro // carefully interleaves memory operations with data operations for optimal // pipelined performance. #define ROUND_3(ROUND, A,B,C,D,E,F) /* A B C D E F */ \ LOAD(D, (ROUND + 3), -4) /* V V V + */ \ SHUF(B, E, F) /* | | | | + x */ \ STOR(A, (ROUND + 0)) /* - | | | | */ \ TRAN(B, E, F) /* | | | - x */ \ LOAD(E, (ROUND + 4), -4) /* | | | + */ \ SHUF(C, A, F) /* + | | | | x */ \ STOR(B, (ROUND + 1)) /* | - | | | */ \ TRAN(C, A, F) /* - | | | x */ \ LOAD(F, (ROUND + 5), -4) /* | | | + */ \ SHUF(D, A, B) /* + x | | | | */ \ STOR(C, (ROUND + 2)) /* | - | | | */ \ TRAN(D, A, B) /* - x V V V */ // Define a macro that terminates a ROUND_3 macro by taking pre-loaded // registers D, E and F, and translating, shuffling and storing them. #define ROUND_3_END(ROUND, A,B,C,D,E,F) /* A B C D E F */ \ SHUF(E, A, B) /* + x V V V */ \ STOR(D, (ROUND + 3)) /* | - | | */ \ TRAN(E, A, B) /* - x | | */ \ SHUF(F, C, D) /* + x | | */ \ STOR(E, (ROUND + 4)) /* | - | */ \ TRAN(F, C, D) /* - x | */ \ STOR(F, (ROUND + 5)) /* - */ // Define a type A round. Inputs are a, b, and c, outputs are d, e, and f. #define ROUND_3_A(ROUND) \ ROUND_3(ROUND, "a", "b", "c", "d", "e", "f") // Define a type B round. Inputs and outputs are swapped with regard to type A. #define ROUND_3_B(ROUND) \ ROUND_3(ROUND, "d", "e", "f", "a", "b", "c") // Terminating macro for a type A round. #define ROUND_3_A_LAST(ROUND) \ ROUND_3_A(ROUND) \ ROUND_3_END(ROUND, "a", "b", "c", "d", "e", "f") // Terminating macro for a type B round. #define ROUND_3_B_LAST(ROUND) \ ROUND_3_B(ROUND) \ ROUND_3_END(ROUND, "d", "e", "f", "a", "b", "c") // Suppress clang's warning that the literal string in the asm statement is // overlong (longer than the ISO-mandated minimum size of 4095 bytes for C99 // compilers). It may be true, but the goal here is not C99 portability. #pragma GCC diagnostic push #pragma GCC diagnostic ignored "-Woverlength-strings" static inline void enc_loop_avx2 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { // For a clearer explanation of the algorithm used by this function, // please refer to the plain (not inline assembly) implementation. This // function follows the same basic logic. if (*slen < 32) { return; } // Process blocks of 24 bytes at a time. Because blocks are loaded 32 // bytes at a time an offset of -4, ensure that there will be at least // 4 remaining bytes after the last round, so that the final read will // not pass beyond the bounds of the input buffer. size_t rounds = (*slen - 4) / 24; *slen -= rounds * 24; // 24 bytes consumed per round *olen += rounds * 32; // 32 bytes produced per round // Pre-decrement the number of rounds to get the number of rounds // *after* the first round, which is handled as a special case. rounds--; // Number of times to go through the 36x loop. size_t loops = rounds / 36; // Number of rounds remaining after the 36x loop. rounds %= 36; // Lookup tables. const __m256i lut0 = _mm256_set_epi8( 10, 11, 9, 10, 7, 8, 6, 7, 4, 5, 3, 4, 1, 2, 0, 1, 14, 15, 13, 14, 11, 12, 10, 11, 8, 9, 7, 8, 5, 6, 4, 5); const __m256i lut1 = _mm256_setr_epi8( 65, 71, -4, -4, -4, -4, -4, -4, -4, -4, -4, -4, -19, -16, 0, 0, 65, 71, -4, -4, -4, -4, -4, -4, -4, -4, -4, -4, -19, -16, 0, 0); // Temporary registers. __m256i a, b, c, d, e; // Temporary register f doubles as the shift mask for the first round. __m256i f = _mm256_setr_epi32(0, 0, 1, 2, 3, 4, 5, 6); __asm__ volatile ( // The first loop iteration requires special handling to ensure // that the read, which is normally done at an offset of -4, // does not underflow the buffer. Load the buffer at an offset // of 0 and permute the input to achieve the same effect. LOAD("a", 0, 0) "vpermd %[a], %[f], %[a] \n\t" // Perform the standard shuffling and translation steps. SHUF("a", "b", "c") TRAN("a", "b", "c") // Store the result and increment the source and dest pointers. "vmovdqu %[a], (%[dst]) \n\t" "add $24, %[src] \n\t" "add $32, %[dst] \n\t" // If there are 36 rounds or more, enter a 36x unrolled loop of // interleaved encoding rounds. The rounds interleave memory // operations (load/store) with data operations (table lookups, // etc) to maximize pipeline throughput. " test %[loops], %[loops] \n\t" " jz 18f \n\t" " jmp 36f \n\t" " \n\t" ".balign 64 \n\t" "36: " ROUND_3_INIT() " " ROUND_3_A( 0) " " ROUND_3_B( 3) " " ROUND_3_A( 6) " " ROUND_3_B( 9) " " ROUND_3_A(12) " " ROUND_3_B(15) " " ROUND_3_A(18) " " ROUND_3_B(21) " " ROUND_3_A(24) " " ROUND_3_B(27) " " ROUND_3_A_LAST(30) " add $(24 * 36), %[src] \n\t" " add $(32 * 36), %[dst] \n\t" " dec %[loops] \n\t" " jnz 36b \n\t" // Enter an 18x unrolled loop for rounds of 18 or more. "18: cmp $18, %[rounds] \n\t" " jl 9f \n\t" " " ROUND_3_INIT() " " ROUND_3_A(0) " " ROUND_3_B(3) " " ROUND_3_A(6) " " ROUND_3_B(9) " " ROUND_3_A_LAST(12) " sub $18, %[rounds] \n\t" " add $(24 * 18), %[src] \n\t" " add $(32 * 18), %[dst] \n\t" // Enter a 9x unrolled loop for rounds of 9 or more. "9: cmp $9, %[rounds] \n\t" " jl 6f \n\t" " " ROUND_3_INIT() " " ROUND_3_A(0) " " ROUND_3_B_LAST(3) " sub $9, %[rounds] \n\t" " add $(24 * 9), %[src] \n\t" " add $(32 * 9), %[dst] \n\t" // Enter a 6x unrolled loop for rounds of 6 or more. "6: cmp $6, %[rounds] \n\t" " jl 55f \n\t" " " ROUND_3_INIT() " " ROUND_3_A_LAST(0) " sub $6, %[rounds] \n\t" " add $(24 * 6), %[src] \n\t" " add $(32 * 6), %[dst] \n\t" // Dispatch the remaining rounds 0..5. "55: cmp $3, %[rounds] \n\t" " jg 45f \n\t" " je 3f \n\t" " cmp $1, %[rounds] \n\t" " jg 2f \n\t" " je 1f \n\t" " jmp 0f \n\t" "45: cmp $4, %[rounds] \n\t" " je 4f \n\t" // Block of non-interlaced encoding rounds, which can each // individually be jumped to. Rounds fall through to the next. "5: " ROUND() "4: " ROUND() "3: " ROUND() "2: " ROUND() "1: " ROUND() "0: \n\t" // Outputs (modified). : [rounds] "+r" (rounds), [loops] "+r" (loops), [src] "+r" (*s), [dst] "+r" (*o), [a] "=&x" (a), [b] "=&x" (b), [c] "=&x" (c), [d] "=&x" (d), [e] "=&x" (e), [f] "+x" (f) // Inputs (not modified). : [lut0] "x" (lut0), [lut1] "x" (lut1), [msk0] "x" (_mm256_set1_epi32(0x0FC0FC00)), [msk1] "x" (_mm256_set1_epi32(0x04000040)), [msk2] "x" (_mm256_set1_epi32(0x003F03F0)), [msk3] "x" (_mm256_set1_epi32(0x01000010)), [n51] "x" (_mm256_set1_epi8(51)), [n25] "x" (_mm256_set1_epi8(25)) // Clobbers. : "cc", "memory" ); } #pragma GCC diagnostic pop ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx2/enc_reshuffle.c0000644000175100017510000000523215112307767022450 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE __m256i enc_reshuffle (const __m256i input) { // Translation of the SSSE3 reshuffling algorithm to AVX2. This one // works with shifted (4 bytes) input in order to be able to work // efficiently in the two 128-bit lanes. // Input, bytes MSB to LSB: // 0 0 0 0 x w v u t s r q p o n m // l k j i h g f e d c b a 0 0 0 0 const __m256i in = _mm256_shuffle_epi8(input, _mm256_set_epi8( 10, 11, 9, 10, 7, 8, 6, 7, 4, 5, 3, 4, 1, 2, 0, 1, 14, 15, 13, 14, 11, 12, 10, 11, 8, 9, 7, 8, 5, 6, 4, 5)); // in, bytes MSB to LSB: // w x v w // t u s t // q r p q // n o m n // k l j k // h i g h // e f d e // b c a b const __m256i t0 = _mm256_and_si256(in, _mm256_set1_epi32(0x0FC0FC00)); // bits, upper case are most significant bits, lower case are least // significant bits. // 0000wwww XX000000 VVVVVV00 00000000 // 0000tttt UU000000 SSSSSS00 00000000 // 0000qqqq RR000000 PPPPPP00 00000000 // 0000nnnn OO000000 MMMMMM00 00000000 // 0000kkkk LL000000 JJJJJJ00 00000000 // 0000hhhh II000000 GGGGGG00 00000000 // 0000eeee FF000000 DDDDDD00 00000000 // 0000bbbb CC000000 AAAAAA00 00000000 const __m256i t1 = _mm256_mulhi_epu16(t0, _mm256_set1_epi32(0x04000040)); // 00000000 00wwwwXX 00000000 00VVVVVV // 00000000 00ttttUU 00000000 00SSSSSS // 00000000 00qqqqRR 00000000 00PPPPPP // 00000000 00nnnnOO 00000000 00MMMMMM // 00000000 00kkkkLL 00000000 00JJJJJJ // 00000000 00hhhhII 00000000 00GGGGGG // 00000000 00eeeeFF 00000000 00DDDDDD // 00000000 00bbbbCC 00000000 00AAAAAA const __m256i t2 = _mm256_and_si256(in, _mm256_set1_epi32(0x003F03F0)); // 00000000 00xxxxxx 000000vv WWWW0000 // 00000000 00uuuuuu 000000ss TTTT0000 // 00000000 00rrrrrr 000000pp QQQQ0000 // 00000000 00oooooo 000000mm NNNN0000 // 00000000 00llllll 000000jj KKKK0000 // 00000000 00iiiiii 000000gg HHHH0000 // 00000000 00ffffff 000000dd EEEE0000 // 00000000 00cccccc 000000aa BBBB0000 const __m256i t3 = _mm256_mullo_epi16(t2, _mm256_set1_epi32(0x01000010)); // 00xxxxxx 00000000 00vvWWWW 00000000 // 00uuuuuu 00000000 00ssTTTT 00000000 // 00rrrrrr 00000000 00ppQQQQ 00000000 // 00oooooo 00000000 00mmNNNN 00000000 // 00llllll 00000000 00jjKKKK 00000000 // 00iiiiii 00000000 00ggHHHH 00000000 // 00ffffff 00000000 00ddEEEE 00000000 // 00cccccc 00000000 00aaBBBB 00000000 return _mm256_or_si256(t1, t3); // 00xxxxxx 00wwwwXX 00vvWWWW 00VVVVVV // 00uuuuuu 00ttttUU 00ssTTTT 00SSSSSS // 00rrrrrr 00qqqqRR 00ppQQQQ 00PPPPPP // 00oooooo 00nnnnOO 00mmNNNN 00MMMMMM // 00llllll 00kkkkLL 00jjKKKK 00JJJJJJ // 00iiiiii 00hhhhII 00ggHHHH 00GGGGGG // 00ffffff 00eeeeFF 00ddEEEE 00DDDDDD // 00cccccc 00bbbbCC 00aaBBBB 00AAAAAA } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx2/enc_translate.c0000644000175100017510000000234315112307767022462 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE __m256i enc_translate (const __m256i in) { // A lookup table containing the absolute offsets for all ranges: const __m256i lut = _mm256_setr_epi8( 65, 71, -4, -4, -4, -4, -4, -4, -4, -4, -4, -4, -19, -16, 0, 0, 65, 71, -4, -4, -4, -4, -4, -4, -4, -4, -4, -4, -19, -16, 0, 0); // Translate values 0..63 to the Base64 alphabet. There are five sets: // # From To Abs Index Characters // 0 [0..25] [65..90] +65 0 ABCDEFGHIJKLMNOPQRSTUVWXYZ // 1 [26..51] [97..122] +71 1 abcdefghijklmnopqrstuvwxyz // 2 [52..61] [48..57] -4 [2..11] 0123456789 // 3 [62] [43] -19 12 + // 4 [63] [47] -16 13 / // Create LUT indices from the input. The index for range #0 is right, // others are 1 less than expected: __m256i indices = _mm256_subs_epu8(in, _mm256_set1_epi8(51)); // mask is 0xFF (-1) for range #[1..4] and 0x00 for range #0: const __m256i mask = _mm256_cmpgt_epi8(in, _mm256_set1_epi8(25)); // Subtract -1, so add 1 to indices for range #[1..4]. All indices are // now correct: indices = _mm256_sub_epi8(indices, mask); // Add offsets to input values: return _mm256_add_epi8(in, _mm256_shuffle_epi8(lut, indices)); } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.651766 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx512/0000755000175100017510000000000015112310012017611 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx512/codec.c0000644000175100017510000000163315112307767021064 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #if HAVE_AVX512 #include #include "../avx2/dec_reshuffle.c" #include "../avx2/dec_loop.c" #include "enc_reshuffle_translate.c" #include "enc_loop.c" #endif // HAVE_AVX512 void base64_stream_encode_avx512 BASE64_ENC_PARAMS { #if HAVE_AVX512 #include "../generic/enc_head.c" enc_loop_avx512(&s, &slen, &o, &olen); #include "../generic/enc_tail.c" #else base64_enc_stub(state, src, srclen, out, outlen); #endif } // Reuse AVX2 decoding. Not supporting AVX512 at present int base64_stream_decode_avx512 BASE64_DEC_PARAMS { #if HAVE_AVX512 #include "../generic/dec_head.c" dec_loop_avx2(&s, &slen, &o, &olen); #include "../generic/dec_tail.c" #else return base64_dec_stub(state, src, srclen, out, outlen); #endif } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx512/enc_loop.c0000644000175100017510000000274215112307767021607 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE void enc_loop_avx512_inner (const uint8_t **s, uint8_t **o) { // Load input. __m512i src = _mm512_loadu_si512((__m512i *) *s); // Reshuffle, translate, store. src = enc_reshuffle_translate(src); _mm512_storeu_si512((__m512i *) *o, src); *s += 48; *o += 64; } static inline void enc_loop_avx512 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 64) { return; } // Process blocks of 48 bytes at a time. Because blocks are loaded 64 // bytes at a time, ensure that there will be at least 24 remaining // bytes after the last round, so that the final read will not pass // beyond the bounds of the input buffer. size_t rounds = (*slen - 24) / 48; *slen -= rounds * 48; // 48 bytes consumed per round *olen += rounds * 64; // 64 bytes produced per round while (rounds > 0) { if (rounds >= 8) { enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); rounds -= 8; continue; } if (rounds >= 4) { enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); rounds -= 4; continue; } if (rounds >= 2) { enc_loop_avx512_inner(s, o); enc_loop_avx512_inner(s, o); rounds -= 2; continue; } enc_loop_avx512_inner(s, o); break; } } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/avx512/enc_reshuffle_translate.c0000644000175100017510000000434515112307767024677 0ustar00runnerrunner// AVX512 algorithm is based on permutevar and multishift. The code is based on // https://github.com/WojciechMula/base64simd which is under BSD-2 license. static BASE64_FORCE_INLINE __m512i enc_reshuffle_translate (const __m512i input) { // 32-bit input // [ 0 0 0 0 0 0 0 0|c1 c0 d5 d4 d3 d2 d1 d0| // b3 b2 b1 b0 c5 c4 c3 c2|a5 a4 a3 a2 a1 a0 b5 b4] // output order [1, 2, 0, 1] // [b3 b2 b1 b0 c5 c4 c3 c2|c1 c0 d5 d4 d3 d2 d1 d0| // a5 a4 a3 a2 a1 a0 b5 b4|b3 b2 b1 b0 c3 c2 c1 c0] const __m512i shuffle_input = _mm512_setr_epi32(0x01020001, 0x04050304, 0x07080607, 0x0a0b090a, 0x0d0e0c0d, 0x10110f10, 0x13141213, 0x16171516, 0x191a1819, 0x1c1d1b1c, 0x1f201e1f, 0x22232122, 0x25262425, 0x28292728, 0x2b2c2a2b, 0x2e2f2d2e); // Reorder bytes // [b3 b2 b1 b0 c5 c4 c3 c2|c1 c0 d5 d4 d3 d2 d1 d0| // a5 a4 a3 a2 a1 a0 b5 b4|b3 b2 b1 b0 c3 c2 c1 c0] const __m512i in = _mm512_permutexvar_epi8(shuffle_input, input); // After multishift a single 32-bit lane has following layout // [c1 c0 d5 d4 d3 d2 d1 d0|b1 b0 c5 c4 c3 c2 c1 c0| // a1 a0 b5 b4 b3 b2 b1 b0|d1 d0 a5 a4 a3 a2 a1 a0] // (a = [10:17], b = [4:11], c = [22:27], d = [16:21]) // 48, 54, 36, 42, 16, 22, 4, 10 const __m512i shifts = _mm512_set1_epi64(0x3036242a1016040alu); __m512i shuffled_in = _mm512_multishift_epi64_epi8(shifts, in); // Translate immediately after reshuffled. const __m512i lookup = _mm512_loadu_si512(base64_table_enc_6bit); // Translation 6-bit values to ASCII. return _mm512_permutexvar_epi8(shuffled_in, lookup); } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.651766 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/0000755000175100017510000000000015112310012020177 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.652766 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/32/0000755000175100017510000000000015112310012020423 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/32/dec_loop.c0000644000175100017510000000425215112307767022405 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE int dec_loop_generic_32_inner (const uint8_t **s, uint8_t **o, size_t *rounds) { const uint32_t str = base64_table_dec_32bit_d0[(*s)[0]] | base64_table_dec_32bit_d1[(*s)[1]] | base64_table_dec_32bit_d2[(*s)[2]] | base64_table_dec_32bit_d3[(*s)[3]]; #if BASE64_LITTLE_ENDIAN // LUTs for little-endian set MSB in case of invalid character: if (str & UINT32_C(0x80000000)) { return 0; } #else // LUTs for big-endian set LSB in case of invalid character: if (str & UINT32_C(1)) { return 0; } #endif // Store the output: memcpy(*o, &str, sizeof (str)); *s += 4; *o += 3; *rounds -= 1; return 1; } static inline void dec_loop_generic_32 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 8) { return; } // Process blocks of 4 bytes per round. Because one extra zero byte is // written after the output, ensure that there will be at least 4 bytes // of input data left to cover the gap. (Two data bytes and up to two // end-of-string markers.) size_t rounds = (*slen - 4) / 4; *slen -= rounds * 4; // 4 bytes consumed per round *olen += rounds * 3; // 3 bytes produced per round do { if (rounds >= 8) { if (dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds)) { continue; } break; } if (rounds >= 4) { if (dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds)) { continue; } break; } if (rounds >= 2) { if (dec_loop_generic_32_inner(s, o, &rounds) && dec_loop_generic_32_inner(s, o, &rounds)) { continue; } break; } dec_loop_generic_32_inner(s, o, &rounds); break; } while (rounds > 0); // Adjust for any rounds that were skipped: *slen += rounds * 4; *olen -= rounds * 3; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/32/enc_loop.c0000644000175100017510000000361415112307767022420 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE void enc_loop_generic_32_inner (const uint8_t **s, uint8_t **o) { uint32_t src; // Load input: memcpy(&src, *s, sizeof (src)); // Reorder to 32-bit big-endian, if not already in that format. The // workset must be in big-endian, otherwise the shifted bits do not // carry over properly among adjacent bytes: src = BASE64_HTOBE32(src); // Two indices for the 12-bit lookup table: const size_t index0 = (src >> 20) & 0xFFFU; const size_t index1 = (src >> 8) & 0xFFFU; // Table lookup and store: memcpy(*o + 0, base64_table_enc_12bit + index0, 2); memcpy(*o + 2, base64_table_enc_12bit + index1, 2); *s += 3; *o += 4; } static inline void enc_loop_generic_32 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 4) { return; } // Process blocks of 3 bytes at a time. Because blocks are loaded 4 // bytes at a time, ensure that there will be at least one remaining // byte after the last round, so that the final read will not pass // beyond the bounds of the input buffer: size_t rounds = (*slen - 1) / 3; *slen -= rounds * 3; // 3 bytes consumed per round *olen += rounds * 4; // 4 bytes produced per round do { if (rounds >= 8) { enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); rounds -= 8; continue; } if (rounds >= 4) { enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); rounds -= 4; continue; } if (rounds >= 2) { enc_loop_generic_32_inner(s, o); enc_loop_generic_32_inner(s, o); rounds -= 2; continue; } enc_loop_generic_32_inner(s, o); break; } while (rounds > 0); } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.652766 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/64/0000755000175100017510000000000015112310012020430 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/64/enc_loop.c0000644000175100017510000000412015112307767022416 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE void enc_loop_generic_64_inner (const uint8_t **s, uint8_t **o) { uint64_t src; // Load input: memcpy(&src, *s, sizeof (src)); // Reorder to 64-bit big-endian, if not already in that format. The // workset must be in big-endian, otherwise the shifted bits do not // carry over properly among adjacent bytes: src = BASE64_HTOBE64(src); // Four indices for the 12-bit lookup table: const size_t index0 = (src >> 52) & 0xFFFU; const size_t index1 = (src >> 40) & 0xFFFU; const size_t index2 = (src >> 28) & 0xFFFU; const size_t index3 = (src >> 16) & 0xFFFU; // Table lookup and store: memcpy(*o + 0, base64_table_enc_12bit + index0, 2); memcpy(*o + 2, base64_table_enc_12bit + index1, 2); memcpy(*o + 4, base64_table_enc_12bit + index2, 2); memcpy(*o + 6, base64_table_enc_12bit + index3, 2); *s += 6; *o += 8; } static inline void enc_loop_generic_64 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 8) { return; } // Process blocks of 6 bytes at a time. Because blocks are loaded 8 // bytes at a time, ensure that there will be at least 2 remaining // bytes after the last round, so that the final read will not pass // beyond the bounds of the input buffer: size_t rounds = (*slen - 2) / 6; *slen -= rounds * 6; // 6 bytes consumed per round *olen += rounds * 8; // 8 bytes produced per round do { if (rounds >= 8) { enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); rounds -= 8; continue; } if (rounds >= 4) { enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); rounds -= 4; continue; } if (rounds >= 2) { enc_loop_generic_64_inner(s, o); enc_loop_generic_64_inner(s, o); rounds -= 2; continue; } enc_loop_generic_64_inner(s, o); break; } while (rounds > 0); } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/codec.c0000644000175100017510000000142615112307767021452 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #if BASE64_WORDSIZE == 32 # include "32/enc_loop.c" #elif BASE64_WORDSIZE == 64 # include "64/enc_loop.c" #endif #if BASE64_WORDSIZE >= 32 # include "32/dec_loop.c" #endif void base64_stream_encode_plain BASE64_ENC_PARAMS { #include "enc_head.c" #if BASE64_WORDSIZE == 32 enc_loop_generic_32(&s, &slen, &o, &olen); #elif BASE64_WORDSIZE == 64 enc_loop_generic_64(&s, &slen, &o, &olen); #endif #include "enc_tail.c" } int base64_stream_decode_plain BASE64_DEC_PARAMS { #include "dec_head.c" #if BASE64_WORDSIZE >= 32 dec_loop_generic_32(&s, &slen, &o, &olen); #endif #include "dec_tail.c" } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/dec_head.c0000644000175100017510000000142715112307767022112 0ustar00runnerrunnerint ret = 0; const uint8_t *s = (const uint8_t *) src; uint8_t *o = (uint8_t *) out; uint8_t q; // Use local temporaries to avoid cache thrashing: size_t olen = 0; size_t slen = srclen; struct base64_state st; st.eof = state->eof; st.bytes = state->bytes; st.carry = state->carry; // If we previously saw an EOF or an invalid character, bail out: if (st.eof) { *outlen = 0; ret = 0; // If there was a trailing '=' to check, check it: if (slen && (st.eof == BASE64_AEOF)) { state->bytes = 0; state->eof = BASE64_EOF; ret = ((base64_table_dec_8bit[*s++] == 254) && (slen == 1)) ? 1 : 0; } return ret; } // Turn four 6-bit numbers into three bytes: // out[0] = 11111122 // out[1] = 22223333 // out[2] = 33444444 // Duff's device again: switch (st.bytes) { for (;;) { case 0: ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/dec_tail.c0000644000175100017510000000335615112307767022145 0ustar00runnerrunner if (slen-- == 0) { ret = 1; break; } if ((q = base64_table_dec_8bit[*s++]) >= 254) { st.eof = BASE64_EOF; // Treat character '=' as invalid for byte 0: break; } st.carry = q << 2; st.bytes++; // Deliberate fallthrough: BASE64_FALLTHROUGH case 1: if (slen-- == 0) { ret = 1; break; } if ((q = base64_table_dec_8bit[*s++]) >= 254) { st.eof = BASE64_EOF; // Treat character '=' as invalid for byte 1: break; } *o++ = st.carry | (q >> 4); st.carry = q << 4; st.bytes++; olen++; // Deliberate fallthrough: BASE64_FALLTHROUGH case 2: if (slen-- == 0) { ret = 1; break; } if ((q = base64_table_dec_8bit[*s++]) >= 254) { st.bytes++; // When q == 254, the input char is '='. // Check if next byte is also '=': if (q == 254) { if (slen-- != 0) { st.bytes = 0; // EOF: st.eof = BASE64_EOF; q = base64_table_dec_8bit[*s++]; ret = ((q == 254) && (slen == 0)) ? 1 : 0; break; } else { // Almost EOF st.eof = BASE64_AEOF; ret = 1; break; } } // If we get here, there was an error: break; } *o++ = st.carry | (q >> 2); st.carry = q << 6; st.bytes++; olen++; // Deliberate fallthrough: BASE64_FALLTHROUGH case 3: if (slen-- == 0) { ret = 1; break; } if ((q = base64_table_dec_8bit[*s++]) >= 254) { st.bytes = 0; st.eof = BASE64_EOF; // When q == 254, the input char is '='. Return 1 and EOF. // When q == 255, the input char is invalid. Return 0 and EOF. ret = ((q == 254) && (slen == 0)) ? 1 : 0; break; } *o++ = st.carry | q; st.carry = 0; st.bytes = 0; olen++; } } state->eof = st.eof; state->bytes = st.bytes; state->carry = st.carry; *outlen = olen; return ret; ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/enc_head.c0000644000175100017510000000111115112307767022112 0ustar00runnerrunner// Assume that *out is large enough to contain the output. // Theoretically it should be 4/3 the length of src. const uint8_t *s = (const uint8_t *) src; uint8_t *o = (uint8_t *) out; // Use local temporaries to avoid cache thrashing: size_t olen = 0; size_t slen = srclen; struct base64_state st; st.bytes = state->bytes; st.carry = state->carry; // Turn three bytes into four 6-bit numbers: // in[0] = 00111111 // in[1] = 00112222 // in[2] = 00222233 // in[3] = 00333333 // Duff's device, a for() loop inside a switch() statement. Legal! switch (st.bytes) { for (;;) { case 0: ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/generic/enc_tail.c0000644000175100017510000000117515112307767022154 0ustar00runnerrunner if (slen-- == 0) { break; } *o++ = base64_table_enc_6bit[*s >> 2]; st.carry = (*s++ << 4) & 0x30; st.bytes++; olen += 1; // Deliberate fallthrough: BASE64_FALLTHROUGH case 1: if (slen-- == 0) { break; } *o++ = base64_table_enc_6bit[st.carry | (*s >> 4)]; st.carry = (*s++ << 2) & 0x3C; st.bytes++; olen += 1; // Deliberate fallthrough: BASE64_FALLTHROUGH case 2: if (slen-- == 0) { break; } *o++ = base64_table_enc_6bit[st.carry | (*s >> 6)]; *o++ = base64_table_enc_6bit[*s++ & 0x3F]; st.bytes = 0; olen += 2; } } state->bytes = st.bytes; state->carry = st.carry; *outlen = olen; ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.653766 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon32/0000755000175100017510000000000015112310012017667 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon32/codec.c0000644000175100017510000000370015112307767021137 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #ifdef __arm__ # if (defined(__ARM_NEON__) || defined(__ARM_NEON)) && HAVE_NEON32 # define BASE64_USE_NEON32 # endif #endif #ifdef BASE64_USE_NEON32 #include // Only enable inline assembly on supported compilers. #if defined(__GNUC__) || defined(__clang__) #define BASE64_NEON32_USE_ASM #endif static BASE64_FORCE_INLINE uint8x16_t vqtbl1q_u8 (const uint8x16_t lut, const uint8x16_t indices) { // NEON32 only supports 64-bit wide lookups in 128-bit tables. Emulate // the NEON64 `vqtbl1q_u8` intrinsic to do 128-bit wide lookups. uint8x8x2_t lut2; uint8x8x2_t result; lut2.val[0] = vget_low_u8(lut); lut2.val[1] = vget_high_u8(lut); result.val[0] = vtbl2_u8(lut2, vget_low_u8(indices)); result.val[1] = vtbl2_u8(lut2, vget_high_u8(indices)); return vcombine_u8(result.val[0], result.val[1]); } #include "../generic/32/dec_loop.c" #include "../generic/32/enc_loop.c" #include "dec_loop.c" #include "enc_reshuffle.c" #include "enc_translate.c" #include "enc_loop.c" #endif // BASE64_USE_NEON32 // Stride size is so large on these NEON 32-bit functions // (48 bytes encode, 32 bytes decode) that we inline the // uint32 codec to stay performant on smaller inputs. void base64_stream_encode_neon32 BASE64_ENC_PARAMS { #ifdef BASE64_USE_NEON32 #include "../generic/enc_head.c" enc_loop_neon32(&s, &slen, &o, &olen); enc_loop_generic_32(&s, &slen, &o, &olen); #include "../generic/enc_tail.c" #else base64_enc_stub(state, src, srclen, out, outlen); #endif } int base64_stream_decode_neon32 BASE64_DEC_PARAMS { #ifdef BASE64_USE_NEON32 #include "../generic/dec_head.c" dec_loop_neon32(&s, &slen, &o, &olen); dec_loop_generic_32(&s, &slen, &o, &olen); #include "../generic/dec_tail.c" #else return base64_dec_stub(state, src, srclen, out, outlen); #endif } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon32/dec_loop.c0000644000175100017510000000553215112307767021653 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE int is_nonzero (const uint8x16_t v) { uint64_t u64; const uint64x2_t v64 = vreinterpretq_u64_u8(v); const uint32x2_t v32 = vqmovn_u64(v64); vst1_u64(&u64, vreinterpret_u64_u32(v32)); return u64 != 0; } static BASE64_FORCE_INLINE uint8x16_t delta_lookup (const uint8x16_t v) { const uint8x8_t lut = { 0, 16, 19, 4, (uint8_t) -65, (uint8_t) -65, (uint8_t) -71, (uint8_t) -71, }; return vcombine_u8( vtbl1_u8(lut, vget_low_u8(v)), vtbl1_u8(lut, vget_high_u8(v))); } static BASE64_FORCE_INLINE uint8x16_t dec_loop_neon32_lane (uint8x16_t *lane) { // See the SSSE3 decoder for an explanation of the algorithm. const uint8x16_t lut_lo = { 0x15, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x13, 0x1A, 0x1B, 0x1B, 0x1B, 0x1A }; const uint8x16_t lut_hi = { 0x10, 0x10, 0x01, 0x02, 0x04, 0x08, 0x04, 0x08, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10 }; const uint8x16_t mask_0F = vdupq_n_u8(0x0F); const uint8x16_t mask_2F = vdupq_n_u8(0x2F); const uint8x16_t hi_nibbles = vshrq_n_u8(*lane, 4); const uint8x16_t lo_nibbles = vandq_u8(*lane, mask_0F); const uint8x16_t eq_2F = vceqq_u8(*lane, mask_2F); const uint8x16_t hi = vqtbl1q_u8(lut_hi, hi_nibbles); const uint8x16_t lo = vqtbl1q_u8(lut_lo, lo_nibbles); // Now simply add the delta values to the input: *lane = vaddq_u8(*lane, delta_lookup(vaddq_u8(eq_2F, hi_nibbles))); // Return the validity mask: return vandq_u8(lo, hi); } static inline void dec_loop_neon32 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 64) { return; } // Process blocks of 64 bytes per round. Unlike the SSE codecs, no // extra trailing zero bytes are written, so it is not necessary to // reserve extra input bytes: size_t rounds = *slen / 64; *slen -= rounds * 64; // 64 bytes consumed per round *olen += rounds * 48; // 48 bytes produced per round do { uint8x16x3_t dec; // Load 64 bytes and deinterleave: uint8x16x4_t str = vld4q_u8(*s); // Decode each lane, collect a mask of invalid inputs: const uint8x16_t classified = dec_loop_neon32_lane(&str.val[0]) | dec_loop_neon32_lane(&str.val[1]) | dec_loop_neon32_lane(&str.val[2]) | dec_loop_neon32_lane(&str.val[3]); // Check for invalid input: if any of the delta values are // zero, fall back on bytewise code to do error checking and // reporting: if (is_nonzero(classified)) { break; } // Compress four bytes into three: dec.val[0] = vorrq_u8(vshlq_n_u8(str.val[0], 2), vshrq_n_u8(str.val[1], 4)); dec.val[1] = vorrq_u8(vshlq_n_u8(str.val[1], 4), vshrq_n_u8(str.val[2], 2)); dec.val[2] = vorrq_u8(vshlq_n_u8(str.val[2], 6), str.val[3]); // Interleave and store decoded result: vst3q_u8(*o, dec); *s += 64; *o += 48; } while (--rounds > 0); // Adjust for any rounds that were skipped: *slen += rounds * 64; *olen -= rounds * 48; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon32/enc_loop.c0000644000175100017510000001105715112307767021664 0ustar00runnerrunner#ifdef BASE64_NEON32_USE_ASM static BASE64_FORCE_INLINE void enc_loop_neon32_inner_asm (const uint8_t **s, uint8_t **o) { // This function duplicates the functionality of enc_loop_neon32_inner, // but entirely with inline assembly. This gives a significant speedup // over using NEON intrinsics, which do not always generate very good // code. The logic of the assembly is directly lifted from the // intrinsics version, so it can be used as a guide to this code. // Temporary registers, used as scratch space. uint8x16_t tmp0, tmp1, tmp2, tmp3; uint8x16_t mask0, mask1, mask2, mask3; // A lookup table containing the absolute offsets for all ranges. const uint8x16_t lut = { 65U, 71U, 252U, 252U, 252U, 252U, 252U, 252U, 252U, 252U, 252U, 252U, 237U, 240U, 0U, 0U }; // Numeric constants. const uint8x16_t n51 = vdupq_n_u8(51); const uint8x16_t n25 = vdupq_n_u8(25); const uint8x16_t n63 = vdupq_n_u8(63); __asm__ ( // Load 48 bytes and deinterleave. The bytes are loaded to // hard-coded registers q12, q13 and q14, to ensure that they // are contiguous. Increment the source pointer. "vld3.8 {d24, d26, d28}, [%[src]]! \n\t" "vld3.8 {d25, d27, d29}, [%[src]]! \n\t" // Reshuffle the bytes using temporaries. "vshr.u8 %q[t0], q12, #2 \n\t" "vshr.u8 %q[t1], q13, #4 \n\t" "vshr.u8 %q[t2], q14, #6 \n\t" "vsli.8 %q[t1], q12, #4 \n\t" "vsli.8 %q[t2], q13, #2 \n\t" "vand.u8 %q[t1], %q[t1], %q[n63] \n\t" "vand.u8 %q[t2], %q[t2], %q[n63] \n\t" "vand.u8 %q[t3], q14, %q[n63] \n\t" // t0..t3 are the reshuffled inputs. Create LUT indices. "vqsub.u8 q12, %q[t0], %q[n51] \n\t" "vqsub.u8 q13, %q[t1], %q[n51] \n\t" "vqsub.u8 q14, %q[t2], %q[n51] \n\t" "vqsub.u8 q15, %q[t3], %q[n51] \n\t" // Create the mask for range #0. "vcgt.u8 %q[m0], %q[t0], %q[n25] \n\t" "vcgt.u8 %q[m1], %q[t1], %q[n25] \n\t" "vcgt.u8 %q[m2], %q[t2], %q[n25] \n\t" "vcgt.u8 %q[m3], %q[t3], %q[n25] \n\t" // Subtract -1 to correct the LUT indices. "vsub.u8 q12, %q[m0] \n\t" "vsub.u8 q13, %q[m1] \n\t" "vsub.u8 q14, %q[m2] \n\t" "vsub.u8 q15, %q[m3] \n\t" // Lookup the delta values. "vtbl.u8 d24, {%q[lut]}, d24 \n\t" "vtbl.u8 d25, {%q[lut]}, d25 \n\t" "vtbl.u8 d26, {%q[lut]}, d26 \n\t" "vtbl.u8 d27, {%q[lut]}, d27 \n\t" "vtbl.u8 d28, {%q[lut]}, d28 \n\t" "vtbl.u8 d29, {%q[lut]}, d29 \n\t" "vtbl.u8 d30, {%q[lut]}, d30 \n\t" "vtbl.u8 d31, {%q[lut]}, d31 \n\t" // Add the delta values. "vadd.u8 q12, %q[t0] \n\t" "vadd.u8 q13, %q[t1] \n\t" "vadd.u8 q14, %q[t2] \n\t" "vadd.u8 q15, %q[t3] \n\t" // Store 64 bytes and interleave. Increment the dest pointer. "vst4.8 {d24, d26, d28, d30}, [%[dst]]! \n\t" "vst4.8 {d25, d27, d29, d31}, [%[dst]]! \n\t" // Outputs (modified). : [src] "+r" (*s), [dst] "+r" (*o), [t0] "=&w" (tmp0), [t1] "=&w" (tmp1), [t2] "=&w" (tmp2), [t3] "=&w" (tmp3), [m0] "=&w" (mask0), [m1] "=&w" (mask1), [m2] "=&w" (mask2), [m3] "=&w" (mask3) // Inputs (not modified). : [lut] "w" (lut), [n25] "w" (n25), [n51] "w" (n51), [n63] "w" (n63) // Clobbers. : "d24", "d25", "d26", "d27", "d28", "d29", "d30", "d31", "cc", "memory" ); } #endif static BASE64_FORCE_INLINE void enc_loop_neon32_inner (const uint8_t **s, uint8_t **o) { #ifdef BASE64_NEON32_USE_ASM enc_loop_neon32_inner_asm(s, o); #else // Load 48 bytes and deinterleave: uint8x16x3_t src = vld3q_u8(*s); // Reshuffle: uint8x16x4_t out = enc_reshuffle(src); // Translate reshuffled bytes to the Base64 alphabet: out = enc_translate(out); // Interleave and store output: vst4q_u8(*o, out); *s += 48; *o += 64; #endif } static inline void enc_loop_neon32 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { size_t rounds = *slen / 48; *slen -= rounds * 48; // 48 bytes consumed per round *olen += rounds * 64; // 64 bytes produced per round while (rounds > 0) { if (rounds >= 8) { enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); rounds -= 8; continue; } if (rounds >= 4) { enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); rounds -= 4; continue; } if (rounds >= 2) { enc_loop_neon32_inner(s, o); enc_loop_neon32_inner(s, o); rounds -= 2; continue; } enc_loop_neon32_inner(s, o); break; } } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon32/enc_reshuffle.c0000644000175100017510000000172615112307767022700 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE uint8x16x4_t enc_reshuffle (uint8x16x3_t in) { uint8x16x4_t out; // Input: // in[0] = a7 a6 a5 a4 a3 a2 a1 a0 // in[1] = b7 b6 b5 b4 b3 b2 b1 b0 // in[2] = c7 c6 c5 c4 c3 c2 c1 c0 // Output: // out[0] = 00 00 a7 a6 a5 a4 a3 a2 // out[1] = 00 00 a1 a0 b7 b6 b5 b4 // out[2] = 00 00 b3 b2 b1 b0 c7 c6 // out[3] = 00 00 c5 c4 c3 c2 c1 c0 // Move the input bits to where they need to be in the outputs. Except // for the first output, the high two bits are not cleared. out.val[0] = vshrq_n_u8(in.val[0], 2); out.val[1] = vshrq_n_u8(in.val[1], 4); out.val[2] = vshrq_n_u8(in.val[2], 6); out.val[1] = vsliq_n_u8(out.val[1], in.val[0], 4); out.val[2] = vsliq_n_u8(out.val[2], in.val[1], 2); // Clear the high two bits in the second, third and fourth output. out.val[1] = vandq_u8(out.val[1], vdupq_n_u8(0x3F)); out.val[2] = vandq_u8(out.val[2], vdupq_n_u8(0x3F)); out.val[3] = vandq_u8(in.val[2], vdupq_n_u8(0x3F)); return out; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon32/enc_translate.c0000644000175100017510000000410415112307767022703 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE uint8x16x4_t enc_translate (const uint8x16x4_t in) { // A lookup table containing the absolute offsets for all ranges: const uint8x16_t lut = { 65U, 71U, 252U, 252U, 252U, 252U, 252U, 252U, 252U, 252U, 252U, 252U, 237U, 240U, 0U, 0U }; const uint8x16_t offset = vdupq_n_u8(51); uint8x16x4_t indices, mask, delta, out; // Translate values 0..63 to the Base64 alphabet. There are five sets: // # From To Abs Index Characters // 0 [0..25] [65..90] +65 0 ABCDEFGHIJKLMNOPQRSTUVWXYZ // 1 [26..51] [97..122] +71 1 abcdefghijklmnopqrstuvwxyz // 2 [52..61] [48..57] -4 [2..11] 0123456789 // 3 [62] [43] -19 12 + // 4 [63] [47] -16 13 / // Create LUT indices from input: // the index for range #0 is right, others are 1 less than expected: indices.val[0] = vqsubq_u8(in.val[0], offset); indices.val[1] = vqsubq_u8(in.val[1], offset); indices.val[2] = vqsubq_u8(in.val[2], offset); indices.val[3] = vqsubq_u8(in.val[3], offset); // mask is 0xFF (-1) for range #[1..4] and 0x00 for range #0: mask.val[0] = vcgtq_u8(in.val[0], vdupq_n_u8(25)); mask.val[1] = vcgtq_u8(in.val[1], vdupq_n_u8(25)); mask.val[2] = vcgtq_u8(in.val[2], vdupq_n_u8(25)); mask.val[3] = vcgtq_u8(in.val[3], vdupq_n_u8(25)); // Subtract -1, so add 1 to indices for range #[1..4], All indices are // now correct: indices.val[0] = vsubq_u8(indices.val[0], mask.val[0]); indices.val[1] = vsubq_u8(indices.val[1], mask.val[1]); indices.val[2] = vsubq_u8(indices.val[2], mask.val[2]); indices.val[3] = vsubq_u8(indices.val[3], mask.val[3]); // Lookup delta values: delta.val[0] = vqtbl1q_u8(lut, indices.val[0]); delta.val[1] = vqtbl1q_u8(lut, indices.val[1]); delta.val[2] = vqtbl1q_u8(lut, indices.val[2]); delta.val[3] = vqtbl1q_u8(lut, indices.val[3]); // Add delta values: out.val[0] = vaddq_u8(in.val[0], delta.val[0]); out.val[1] = vaddq_u8(in.val[1], delta.val[1]); out.val[2] = vaddq_u8(in.val[2], delta.val[2]); out.val[3] = vaddq_u8(in.val[3], delta.val[3]); return out; } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.653766 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon64/0000755000175100017510000000000015112310012017674 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon64/codec.c0000644000175100017510000000416615112307767021153 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #if HAVE_NEON64 #include // Only enable inline assembly on supported compilers. #if defined(__GNUC__) || defined(__clang__) #define BASE64_NEON64_USE_ASM #endif static BASE64_FORCE_INLINE uint8x16x4_t load_64byte_table (const uint8_t *p) { #ifdef BASE64_NEON64_USE_ASM // Force the table to be loaded into contiguous registers. GCC will not // normally allocate contiguous registers for a `uint8x16x4_t'. These // registers are chosen to not conflict with the ones in the enc loop. register uint8x16_t t0 __asm__ ("v8"); register uint8x16_t t1 __asm__ ("v9"); register uint8x16_t t2 __asm__ ("v10"); register uint8x16_t t3 __asm__ ("v11"); __asm__ ( "ld1 {%[t0].16b, %[t1].16b, %[t2].16b, %[t3].16b}, [%[src]], #64 \n\t" : [src] "+r" (p), [t0] "=w" (t0), [t1] "=w" (t1), [t2] "=w" (t2), [t3] "=w" (t3) ); return (uint8x16x4_t) { .val[0] = t0, .val[1] = t1, .val[2] = t2, .val[3] = t3, }; #else return vld1q_u8_x4(p); #endif } #include "../generic/32/dec_loop.c" #include "../generic/64/enc_loop.c" #include "dec_loop.c" #ifdef BASE64_NEON64_USE_ASM # include "enc_loop_asm.c" #else # include "enc_reshuffle.c" # include "enc_loop.c" #endif #endif // HAVE_NEON64 // Stride size is so large on these NEON 64-bit functions // (48 bytes encode, 64 bytes decode) that we inline the // uint64 codec to stay performant on smaller inputs. void base64_stream_encode_neon64 BASE64_ENC_PARAMS { #if HAVE_NEON64 #include "../generic/enc_head.c" enc_loop_neon64(&s, &slen, &o, &olen); enc_loop_generic_64(&s, &slen, &o, &olen); #include "../generic/enc_tail.c" #else base64_enc_stub(state, src, srclen, out, outlen); #endif } int base64_stream_decode_neon64 BASE64_DEC_PARAMS { #if HAVE_NEON64 #include "../generic/dec_head.c" dec_loop_neon64(&s, &slen, &o, &olen); dec_loop_generic_32(&s, &slen, &o, &olen); #include "../generic/dec_tail.c" #else return base64_dec_stub(state, src, srclen, out, outlen); #endif } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon64/dec_loop.c0000644000175100017510000001221715112307767021656 0ustar00runnerrunner// The input consists of five valid character sets in the Base64 alphabet, // which we need to map back to the 6-bit values they represent. // There are three ranges, two singles, and then there's the rest. // // # From To LUT Characters // 1 [0..42] [255] #1 invalid input // 2 [43] [62] #1 + // 3 [44..46] [255] #1 invalid input // 4 [47] [63] #1 / // 5 [48..57] [52..61] #1 0..9 // 6 [58..63] [255] #1 invalid input // 7 [64] [255] #2 invalid input // 8 [65..90] [0..25] #2 A..Z // 9 [91..96] [255] #2 invalid input // 10 [97..122] [26..51] #2 a..z // 11 [123..126] [255] #2 invalid input // (12) Everything else => invalid input // The first LUT will use the VTBL instruction (out of range indices are set to // 0 in destination). static const uint8_t dec_lut1[] = { 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 255U, 62U, 255U, 255U, 255U, 63U, 52U, 53U, 54U, 55U, 56U, 57U, 58U, 59U, 60U, 61U, 255U, 255U, 255U, 255U, 255U, 255U, }; // The second LUT will use the VTBX instruction (out of range indices will be // unchanged in destination). Input [64..126] will be mapped to index [1..63] // in this LUT. Index 0 means that value comes from LUT #1. static const uint8_t dec_lut2[] = { 0U, 255U, 0U, 1U, 2U, 3U, 4U, 5U, 6U, 7U, 8U, 9U, 10U, 11U, 12U, 13U, 14U, 15U, 16U, 17U, 18U, 19U, 20U, 21U, 22U, 23U, 24U, 25U, 255U, 255U, 255U, 255U, 255U, 255U, 26U, 27U, 28U, 29U, 30U, 31U, 32U, 33U, 34U, 35U, 36U, 37U, 38U, 39U, 40U, 41U, 42U, 43U, 44U, 45U, 46U, 47U, 48U, 49U, 50U, 51U, 255U, 255U, 255U, 255U, }; // All input values in range for the first look-up will be 0U in the second // look-up result. All input values out of range for the first look-up will be // 0U in the first look-up result. Thus, the two results can be ORed without // conflicts. // // Invalid characters that are in the valid range for either look-up will be // set to 255U in the combined result. Other invalid characters will just be // passed through with the second look-up result (using the VTBX instruction). // Since the second LUT is 64 bytes, those passed-through values are guaranteed // to have a value greater than 63U. Therefore, valid characters will be mapped // to the valid [0..63] range and all invalid characters will be mapped to // values greater than 63. static inline void dec_loop_neon64 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 64) { return; } // Process blocks of 64 bytes per round. Unlike the SSE codecs, no // extra trailing zero bytes are written, so it is not necessary to // reserve extra input bytes: size_t rounds = *slen / 64; *slen -= rounds * 64; // 64 bytes consumed per round *olen += rounds * 48; // 48 bytes produced per round const uint8x16x4_t tbl_dec1 = load_64byte_table(dec_lut1); const uint8x16x4_t tbl_dec2 = load_64byte_table(dec_lut2); do { const uint8x16_t offset = vdupq_n_u8(63U); uint8x16x4_t dec1, dec2; uint8x16x3_t dec; // Load 64 bytes and deinterleave: uint8x16x4_t str = vld4q_u8((uint8_t *) *s); // Get indices for second LUT: dec2.val[0] = vqsubq_u8(str.val[0], offset); dec2.val[1] = vqsubq_u8(str.val[1], offset); dec2.val[2] = vqsubq_u8(str.val[2], offset); dec2.val[3] = vqsubq_u8(str.val[3], offset); // Get values from first LUT: dec1.val[0] = vqtbl4q_u8(tbl_dec1, str.val[0]); dec1.val[1] = vqtbl4q_u8(tbl_dec1, str.val[1]); dec1.val[2] = vqtbl4q_u8(tbl_dec1, str.val[2]); dec1.val[3] = vqtbl4q_u8(tbl_dec1, str.val[3]); // Get values from second LUT: dec2.val[0] = vqtbx4q_u8(dec2.val[0], tbl_dec2, dec2.val[0]); dec2.val[1] = vqtbx4q_u8(dec2.val[1], tbl_dec2, dec2.val[1]); dec2.val[2] = vqtbx4q_u8(dec2.val[2], tbl_dec2, dec2.val[2]); dec2.val[3] = vqtbx4q_u8(dec2.val[3], tbl_dec2, dec2.val[3]); // Get final values: str.val[0] = vorrq_u8(dec1.val[0], dec2.val[0]); str.val[1] = vorrq_u8(dec1.val[1], dec2.val[1]); str.val[2] = vorrq_u8(dec1.val[2], dec2.val[2]); str.val[3] = vorrq_u8(dec1.val[3], dec2.val[3]); // Check for invalid input, any value larger than 63: const uint8x16_t classified = vorrq_u8( vorrq_u8(vcgtq_u8(str.val[0], vdupq_n_u8(63)), vcgtq_u8(str.val[1], vdupq_n_u8(63))), vorrq_u8(vcgtq_u8(str.val[2], vdupq_n_u8(63)), vcgtq_u8(str.val[3], vdupq_n_u8(63))) ); // Check that all bits are zero: if (vmaxvq_u8(classified) != 0U) { break; } // Compress four bytes into three: dec.val[0] = vorrq_u8(vshlq_n_u8(str.val[0], 2), vshrq_n_u8(str.val[1], 4)); dec.val[1] = vorrq_u8(vshlq_n_u8(str.val[1], 4), vshrq_n_u8(str.val[2], 2)); dec.val[2] = vorrq_u8(vshlq_n_u8(str.val[2], 6), str.val[3]); // Interleave and store decoded result: vst3q_u8((uint8_t *) *o, dec); *s += 64; *o += 48; } while (--rounds > 0); // Adjust for any rounds that were skipped: *slen += rounds * 64; *olen -= rounds * 48; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon64/enc_loop.c0000644000175100017510000000350115112307767021664 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE void enc_loop_neon64_inner (const uint8_t **s, uint8_t **o, const uint8x16x4_t tbl_enc) { // Load 48 bytes and deinterleave: uint8x16x3_t src = vld3q_u8(*s); // Divide bits of three input bytes over four output bytes: uint8x16x4_t out = enc_reshuffle(src); // The bits have now been shifted to the right locations; // translate their values 0..63 to the Base64 alphabet. // Use a 64-byte table lookup: out.val[0] = vqtbl4q_u8(tbl_enc, out.val[0]); out.val[1] = vqtbl4q_u8(tbl_enc, out.val[1]); out.val[2] = vqtbl4q_u8(tbl_enc, out.val[2]); out.val[3] = vqtbl4q_u8(tbl_enc, out.val[3]); // Interleave and store output: vst4q_u8(*o, out); *s += 48; *o += 64; } static inline void enc_loop_neon64 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { size_t rounds = *slen / 48; *slen -= rounds * 48; // 48 bytes consumed per round *olen += rounds * 64; // 64 bytes produced per round // Load the encoding table: const uint8x16x4_t tbl_enc = load_64byte_table(base64_table_enc_6bit); while (rounds > 0) { if (rounds >= 8) { enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); rounds -= 8; continue; } if (rounds >= 4) { enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); rounds -= 4; continue; } if (rounds >= 2) { enc_loop_neon64_inner(s, o, tbl_enc); enc_loop_neon64_inner(s, o, tbl_enc); rounds -= 2; continue; } enc_loop_neon64_inner(s, o, tbl_enc); break; } } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon64/enc_loop_asm.c0000644000175100017510000001276115112307767022534 0ustar00runnerrunner// Apologies in advance for combining the preprocessor with inline assembly, // two notoriously gnarly parts of C, but it was necessary to avoid a lot of // code repetition. The preprocessor is used to template large sections of // inline assembly that differ only in the registers used. If the code was // written out by hand, it would become very large and hard to audit. // Generate a block of inline assembly that loads three user-defined registers // A, B, C from memory and deinterleaves them, post-incrementing the src // pointer. The register set should be sequential. #define LOAD(A, B, C) \ "ld3 {"A".16b, "B".16b, "C".16b}, [%[src]], #48 \n\t" // Generate a block of inline assembly that takes three deinterleaved registers // and shuffles the bytes. The output is in temporary registers t0..t3. #define SHUF(A, B, C) \ "ushr %[t0].16b, "A".16b, #2 \n\t" \ "ushr %[t1].16b, "B".16b, #4 \n\t" \ "ushr %[t2].16b, "C".16b, #6 \n\t" \ "sli %[t1].16b, "A".16b, #4 \n\t" \ "sli %[t2].16b, "B".16b, #2 \n\t" \ "and %[t1].16b, %[t1].16b, %[n63].16b \n\t" \ "and %[t2].16b, %[t2].16b, %[n63].16b \n\t" \ "and %[t3].16b, "C".16b, %[n63].16b \n\t" // Generate a block of inline assembly that takes temporary registers t0..t3 // and translates them to the base64 alphabet, using a table loaded into // v8..v11. The output is in user-defined registers A..D. #define TRAN(A, B, C, D) \ "tbl "A".16b, {v8.16b-v11.16b}, %[t0].16b \n\t" \ "tbl "B".16b, {v8.16b-v11.16b}, %[t1].16b \n\t" \ "tbl "C".16b, {v8.16b-v11.16b}, %[t2].16b \n\t" \ "tbl "D".16b, {v8.16b-v11.16b}, %[t3].16b \n\t" // Generate a block of inline assembly that interleaves four registers and // stores them, post-incrementing the destination pointer. #define STOR(A, B, C, D) \ "st4 {"A".16b, "B".16b, "C".16b, "D".16b}, [%[dst]], #64 \n\t" // Generate a block of inline assembly that generates a single self-contained // encoder round: fetch the data, process it, and store the result. #define ROUND() \ LOAD("v12", "v13", "v14") \ SHUF("v12", "v13", "v14") \ TRAN("v12", "v13", "v14", "v15") \ STOR("v12", "v13", "v14", "v15") // Generate a block of assembly that generates a type A interleaved encoder // round. It uses registers that were loaded by the previous type B round, and // in turn loads registers for the next type B round. #define ROUND_A() \ SHUF("v2", "v3", "v4") \ LOAD("v12", "v13", "v14") \ TRAN("v2", "v3", "v4", "v5") \ STOR("v2", "v3", "v4", "v5") // Type B interleaved encoder round. Same as type A, but register sets swapped. #define ROUND_B() \ SHUF("v12", "v13", "v14") \ LOAD("v2", "v3", "v4") \ TRAN("v12", "v13", "v14", "v15") \ STOR("v12", "v13", "v14", "v15") // The first type A round needs to load its own registers. #define ROUND_A_FIRST() \ LOAD("v2", "v3", "v4") \ ROUND_A() // The last type B round omits the load for the next step. #define ROUND_B_LAST() \ SHUF("v12", "v13", "v14") \ TRAN("v12", "v13", "v14", "v15") \ STOR("v12", "v13", "v14", "v15") // Suppress clang's warning that the literal string in the asm statement is // overlong (longer than the ISO-mandated minimum size of 4095 bytes for C99 // compilers). It may be true, but the goal here is not C99 portability. #pragma GCC diagnostic push #pragma GCC diagnostic ignored "-Woverlength-strings" static inline void enc_loop_neon64 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { size_t rounds = *slen / 48; if (rounds == 0) { return; } *slen -= rounds * 48; // 48 bytes consumed per round. *olen += rounds * 64; // 64 bytes produced per round. // Number of times to go through the 8x loop. size_t loops = rounds / 8; // Number of rounds remaining after the 8x loop. rounds %= 8; // Temporary registers, used as scratch space. uint8x16_t tmp0, tmp1, tmp2, tmp3; __asm__ volatile ( // Load the encoding table into v8..v11. " ld1 {v8.16b-v11.16b}, [%[tbl]] \n\t" // If there are eight rounds or more, enter an 8x unrolled loop // of interleaved encoding rounds. The rounds interleave memory // operations (load/store) with data operations to maximize // pipeline throughput. " cbz %[loops], 4f \n\t" // The SIMD instructions do not touch the flags. "88: subs %[loops], %[loops], #1 \n\t" " " ROUND_A_FIRST() " " ROUND_B() " " ROUND_A() " " ROUND_B() " " ROUND_A() " " ROUND_B() " " ROUND_A() " " ROUND_B_LAST() " b.ne 88b \n\t" // Enter a 4x unrolled loop for rounds of 4 or more. "4: cmp %[rounds], #4 \n\t" " b.lt 30f \n\t" " " ROUND_A_FIRST() " " ROUND_B() " " ROUND_A() " " ROUND_B_LAST() " sub %[rounds], %[rounds], #4 \n\t" // Dispatch the remaining rounds 0..3. "30: cbz %[rounds], 0f \n\t" " cmp %[rounds], #2 \n\t" " b.eq 2f \n\t" " b.lt 1f \n\t" // Block of non-interlaced encoding rounds, which can each // individually be jumped to. Rounds fall through to the next. "3: " ROUND() "2: " ROUND() "1: " ROUND() "0: \n\t" // Outputs (modified). : [loops] "+r" (loops), [src] "+r" (*s), [dst] "+r" (*o), [t0] "=&w" (tmp0), [t1] "=&w" (tmp1), [t2] "=&w" (tmp2), [t3] "=&w" (tmp3) // Inputs (not modified). : [rounds] "r" (rounds), [tbl] "r" (base64_table_enc_6bit), [n63] "w" (vdupq_n_u8(63)) // Clobbers. : "v2", "v3", "v4", "v5", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "cc", "memory" ); } #pragma GCC diagnostic pop ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/neon64/enc_reshuffle.c0000644000175100017510000000173415112307767022704 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE uint8x16x4_t enc_reshuffle (const uint8x16x3_t in) { uint8x16x4_t out; // Input: // in[0] = a7 a6 a5 a4 a3 a2 a1 a0 // in[1] = b7 b6 b5 b4 b3 b2 b1 b0 // in[2] = c7 c6 c5 c4 c3 c2 c1 c0 // Output: // out[0] = 00 00 a7 a6 a5 a4 a3 a2 // out[1] = 00 00 a1 a0 b7 b6 b5 b4 // out[2] = 00 00 b3 b2 b1 b0 c7 c6 // out[3] = 00 00 c5 c4 c3 c2 c1 c0 // Move the input bits to where they need to be in the outputs. Except // for the first output, the high two bits are not cleared. out.val[0] = vshrq_n_u8(in.val[0], 2); out.val[1] = vshrq_n_u8(in.val[1], 4); out.val[2] = vshrq_n_u8(in.val[2], 6); out.val[1] = vsliq_n_u8(out.val[1], in.val[0], 4); out.val[2] = vsliq_n_u8(out.val[2], in.val[1], 2); // Clear the high two bits in the second, third and fourth output. out.val[1] = vandq_u8(out.val[1], vdupq_n_u8(0x3F)); out.val[2] = vandq_u8(out.val[2], vdupq_n_u8(0x3F)); out.val[3] = vandq_u8(in.val[2], vdupq_n_u8(0x3F)); return out; } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.654766 mypy-1.19.0/mypyc/lib-rt/base64/arch/sse41/0000755000175100017510000000000015112310012017522 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/sse41/codec.c0000644000175100017510000000234015112307767020771 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #if HAVE_SSE41 #include // Only enable inline assembly on supported compilers and on 64-bit CPUs. #ifndef BASE64_SSE41_USE_ASM # if (defined(__GNUC__) || defined(__clang__)) && BASE64_WORDSIZE == 64 # define BASE64_SSE41_USE_ASM 1 # else # define BASE64_SSE41_USE_ASM 0 # endif #endif #include "../ssse3/dec_reshuffle.c" #include "../ssse3/dec_loop.c" #if BASE64_SSE41_USE_ASM # include "../ssse3/enc_loop_asm.c" #else # include "../ssse3/enc_translate.c" # include "../ssse3/enc_reshuffle.c" # include "../ssse3/enc_loop.c" #endif #endif // HAVE_SSE41 void base64_stream_encode_sse41 BASE64_ENC_PARAMS { #if HAVE_SSE41 #include "../generic/enc_head.c" enc_loop_ssse3(&s, &slen, &o, &olen); #include "../generic/enc_tail.c" #else base64_enc_stub(state, src, srclen, out, outlen); #endif } int base64_stream_decode_sse41 BASE64_DEC_PARAMS { #if HAVE_SSE41 #include "../generic/dec_head.c" dec_loop_ssse3(&s, &slen, &o, &olen); #include "../generic/dec_tail.c" #else return base64_dec_stub(state, src, srclen, out, outlen); #endif } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.654766 mypy-1.19.0/mypyc/lib-rt/base64/arch/sse42/0000755000175100017510000000000015112310012017523 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/sse42/codec.c0000644000175100017510000000234015112307767020772 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #if HAVE_SSE42 #include // Only enable inline assembly on supported compilers and on 64-bit CPUs. #ifndef BASE64_SSE42_USE_ASM # if (defined(__GNUC__) || defined(__clang__)) && BASE64_WORDSIZE == 64 # define BASE64_SSE42_USE_ASM 1 # else # define BASE64_SSE42_USE_ASM 0 # endif #endif #include "../ssse3/dec_reshuffle.c" #include "../ssse3/dec_loop.c" #if BASE64_SSE42_USE_ASM # include "../ssse3/enc_loop_asm.c" #else # include "../ssse3/enc_translate.c" # include "../ssse3/enc_reshuffle.c" # include "../ssse3/enc_loop.c" #endif #endif // HAVE_SSE42 void base64_stream_encode_sse42 BASE64_ENC_PARAMS { #if HAVE_SSE42 #include "../generic/enc_head.c" enc_loop_ssse3(&s, &slen, &o, &olen); #include "../generic/enc_tail.c" #else base64_enc_stub(state, src, srclen, out, outlen); #endif } int base64_stream_decode_sse42 BASE64_DEC_PARAMS { #if HAVE_SSE42 #include "../generic/dec_head.c" dec_loop_ssse3(&s, &slen, &o, &olen); #include "../generic/dec_tail.c" #else return base64_dec_stub(state, src, srclen, out, outlen); #endif } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.655766 mypy-1.19.0/mypyc/lib-rt/base64/arch/ssse3/0000755000175100017510000000000015112310012017623 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/ssse3/codec.c0000644000175100017510000000246615112307767021103 0ustar00runnerrunner#include #include #include #include "libbase64.h" #include "../../tables/tables.h" #include "../../codecs.h" #include "config.h" #include "../../env.h" #if HAVE_SSSE3 #include // Only enable inline assembly on supported compilers and on 64-bit CPUs. // 32-bit CPUs with SSSE3 support, such as low-end Atoms, only have eight XMM // registers, which is not enough to run the inline assembly. #ifndef BASE64_SSSE3_USE_ASM # if (defined(__GNUC__) || defined(__clang__)) && BASE64_WORDSIZE == 64 # define BASE64_SSSE3_USE_ASM 1 # else # define BASE64_SSSE3_USE_ASM 0 # endif #endif #include "dec_reshuffle.c" #include "dec_loop.c" #if BASE64_SSSE3_USE_ASM # include "enc_loop_asm.c" #else # include "enc_reshuffle.c" # include "enc_translate.c" # include "enc_loop.c" #endif #endif // HAVE_SSSE3 void base64_stream_encode_ssse3 BASE64_ENC_PARAMS { #if HAVE_SSSE3 #include "../generic/enc_head.c" enc_loop_ssse3(&s, &slen, &o, &olen); #include "../generic/enc_tail.c" #else base64_enc_stub(state, src, srclen, out, outlen); #endif } int base64_stream_decode_ssse3 BASE64_DEC_PARAMS { #if HAVE_SSSE3 #include "../generic/dec_head.c" dec_loop_ssse3(&s, &slen, &o, &olen); #include "../generic/dec_tail.c" #else return base64_dec_stub(state, src, srclen, out, outlen); #endif } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/ssse3/dec_loop.c0000644000175100017510000001535315112307767021611 0ustar00runnerrunner// The input consists of six character sets in the Base64 alphabet, which we // need to map back to the 6-bit values they represent. There are three ranges, // two singles, and then there's the rest. // // # From To Add Characters // 1 [43] [62] +19 + // 2 [47] [63] +16 / // 3 [48..57] [52..61] +4 0..9 // 4 [65..90] [0..25] -65 A..Z // 5 [97..122] [26..51] -71 a..z // (6) Everything else => invalid input // // We will use lookup tables for character validation and offset computation. // Remember that 0x2X and 0x0X are the same index for _mm_shuffle_epi8, this // allows to mask with 0x2F instead of 0x0F and thus save one constant // declaration (register and/or memory access). // // For offsets: // Perfect hash for lut = ((src >> 4) & 0x2F) + ((src == 0x2F) ? 0xFF : 0x00) // 0000 = garbage // 0001 = / // 0010 = + // 0011 = 0-9 // 0100 = A-Z // 0101 = A-Z // 0110 = a-z // 0111 = a-z // 1000 >= garbage // // For validation, here's the table. // A character is valid if and only if the AND of the 2 lookups equals 0: // // hi \ lo 0000 0001 0010 0011 0100 0101 0110 0111 1000 1001 1010 1011 1100 1101 1110 1111 // LUT 0x15 0x11 0x11 0x11 0x11 0x11 0x11 0x11 0x11 0x11 0x13 0x1A 0x1B 0x1B 0x1B 0x1A // // 0000 0x10 char NUL SOH STX ETX EOT ENQ ACK BEL BS HT LF VT FF CR SO SI // andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // // 0001 0x10 char DLE DC1 DC2 DC3 DC4 NAK SYN ETB CAN EM SUB ESC FS GS RS US // andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // // 0010 0x01 char ! " # $ % & ' ( ) * + , - . / // andlut 0x01 0x01 0x01 0x01 0x01 0x01 0x01 0x01 0x01 0x01 0x01 0x00 0x01 0x01 0x01 0x00 // // 0011 0x02 char 0 1 2 3 4 5 6 7 8 9 : ; < = > ? // andlut 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x02 0x02 0x02 0x02 0x02 0x02 // // 0100 0x04 char @ A B C D E F G H I J K L M N O // andlut 0x04 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 // // 0101 0x08 char P Q R S T U V W X Y Z [ \ ] ^ _ // andlut 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x08 0x08 0x08 0x08 0x08 // // 0110 0x04 char ` a b c d e f g h i j k l m n o // andlut 0x04 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 // 0111 0x08 char p q r s t u v w x y z { | } ~ // andlut 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x00 0x08 0x08 0x08 0x08 0x08 // // 1000 0x10 andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // 1001 0x10 andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // 1010 0x10 andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // 1011 0x10 andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // 1100 0x10 andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // 1101 0x10 andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // 1110 0x10 andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 // 1111 0x10 andlut 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 0x10 static BASE64_FORCE_INLINE int dec_loop_ssse3_inner (const uint8_t **s, uint8_t **o, size_t *rounds) { const __m128i lut_lo = _mm_setr_epi8( 0x15, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x11, 0x13, 0x1A, 0x1B, 0x1B, 0x1B, 0x1A); const __m128i lut_hi = _mm_setr_epi8( 0x10, 0x10, 0x01, 0x02, 0x04, 0x08, 0x04, 0x08, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10, 0x10); const __m128i lut_roll = _mm_setr_epi8( 0, 16, 19, 4, -65, -65, -71, -71, 0, 0, 0, 0, 0, 0, 0, 0); const __m128i mask_2F = _mm_set1_epi8(0x2F); // Load input: __m128i str = _mm_loadu_si128((__m128i *) *s); // Table lookups: const __m128i hi_nibbles = _mm_and_si128(_mm_srli_epi32(str, 4), mask_2F); const __m128i lo_nibbles = _mm_and_si128(str, mask_2F); const __m128i hi = _mm_shuffle_epi8(lut_hi, hi_nibbles); const __m128i lo = _mm_shuffle_epi8(lut_lo, lo_nibbles); // Check for invalid input: if any "and" values from lo and hi are not // zero, fall back on bytewise code to do error checking and reporting: if (_mm_movemask_epi8(_mm_cmpgt_epi8(_mm_and_si128(lo, hi), _mm_setzero_si128())) != 0) { return 0; } const __m128i eq_2F = _mm_cmpeq_epi8(str, mask_2F); const __m128i roll = _mm_shuffle_epi8(lut_roll, _mm_add_epi8(eq_2F, hi_nibbles)); // Now simply add the delta values to the input: str = _mm_add_epi8(str, roll); // Reshuffle the input to packed 12-byte output format: str = dec_reshuffle(str); // Store the output: _mm_storeu_si128((__m128i *) *o, str); *s += 16; *o += 12; *rounds -= 1; return 1; } static inline void dec_loop_ssse3 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 24) { return; } // Process blocks of 16 bytes per round. Because 4 extra zero bytes are // written after the output, ensure that there will be at least 8 bytes // of input data left to cover the gap. (6 data bytes and up to two // end-of-string markers.) size_t rounds = (*slen - 8) / 16; *slen -= rounds * 16; // 16 bytes consumed per round *olen += rounds * 12; // 12 bytes produced per round do { if (rounds >= 8) { if (dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds)) { continue; } break; } if (rounds >= 4) { if (dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds)) { continue; } break; } if (rounds >= 2) { if (dec_loop_ssse3_inner(s, o, &rounds) && dec_loop_ssse3_inner(s, o, &rounds)) { continue; } break; } dec_loop_ssse3_inner(s, o, &rounds); break; } while (rounds > 0); // Adjust for any rounds that were skipped: *slen += rounds * 16; *olen -= rounds * 12; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/ssse3/dec_reshuffle.c0000644000175100017510000000213615112307767022616 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE __m128i dec_reshuffle (const __m128i in) { // in, bits, upper case are most significant bits, lower case are least significant bits // 00llllll 00kkkkLL 00jjKKKK 00JJJJJJ // 00iiiiii 00hhhhII 00ggHHHH 00GGGGGG // 00ffffff 00eeeeFF 00ddEEEE 00DDDDDD // 00cccccc 00bbbbCC 00aaBBBB 00AAAAAA const __m128i merge_ab_and_bc = _mm_maddubs_epi16(in, _mm_set1_epi32(0x01400140)); // 0000kkkk LLllllll 0000JJJJ JJjjKKKK // 0000hhhh IIiiiiii 0000GGGG GGggHHHH // 0000eeee FFffffff 0000DDDD DDddEEEE // 0000bbbb CCcccccc 0000AAAA AAaaBBBB const __m128i out = _mm_madd_epi16(merge_ab_and_bc, _mm_set1_epi32(0x00011000)); // 00000000 JJJJJJjj KKKKkkkk LLllllll // 00000000 GGGGGGgg HHHHhhhh IIiiiiii // 00000000 DDDDDDdd EEEEeeee FFffffff // 00000000 AAAAAAaa BBBBbbbb CCcccccc // Pack bytes together: return _mm_shuffle_epi8(out, _mm_setr_epi8( 2, 1, 0, 6, 5, 4, 10, 9, 8, 14, 13, 12, -1, -1, -1, -1)); // 00000000 00000000 00000000 00000000 // LLllllll KKKKkkkk JJJJJJjj IIiiiiii // HHHHhhhh GGGGGGgg FFffffff EEEEeeee // DDDDDDdd CCcccccc BBBBbbbb AAAAAAaa } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/ssse3/enc_loop.c0000644000175100017510000000301515112307767021613 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE void enc_loop_ssse3_inner (const uint8_t **s, uint8_t **o) { // Load input: __m128i str = _mm_loadu_si128((__m128i *) *s); // Reshuffle: str = enc_reshuffle(str); // Translate reshuffled bytes to the Base64 alphabet: str = enc_translate(str); // Store: _mm_storeu_si128((__m128i *) *o, str); *s += 12; *o += 16; } static inline void enc_loop_ssse3 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { if (*slen < 16) { return; } // Process blocks of 12 bytes at a time. Because blocks are loaded 16 // bytes at a time, ensure that there will be at least 4 remaining // bytes after the last round, so that the final read will not pass // beyond the bounds of the input buffer: size_t rounds = (*slen - 4) / 12; *slen -= rounds * 12; // 12 bytes consumed per round *olen += rounds * 16; // 16 bytes produced per round do { if (rounds >= 8) { enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); rounds -= 8; continue; } if (rounds >= 4) { enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); rounds -= 4; continue; } if (rounds >= 2) { enc_loop_ssse3_inner(s, o); enc_loop_ssse3_inner(s, o); rounds -= 2; continue; } enc_loop_ssse3_inner(s, o); break; } while (rounds > 0); } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/ssse3/enc_loop_asm.c0000644000175100017510000002213615112307767022460 0ustar00runnerrunner// Apologies in advance for combining the preprocessor with inline assembly, // two notoriously gnarly parts of C, but it was necessary to avoid a lot of // code repetition. The preprocessor is used to template large sections of // inline assembly that differ only in the registers used. If the code was // written out by hand, it would become very large and hard to audit. // Generate a block of inline assembly that loads register R0 from memory. The // offset at which the register is loaded is set by the given round. #define LOAD(R0, ROUND) \ "lddqu ("#ROUND" * 12)(%[src]), %["R0"] \n\t" // Generate a block of inline assembly that deinterleaves and shuffles register // R0 using preloaded constants. Outputs in R0 and R1. #define SHUF(R0, R1) \ "pshufb %[lut0], %["R0"] \n\t" \ "movdqa %["R0"], %["R1"] \n\t" \ "pand %[msk0], %["R0"] \n\t" \ "pand %[msk2], %["R1"] \n\t" \ "pmulhuw %[msk1], %["R0"] \n\t" \ "pmullw %[msk3], %["R1"] \n\t" \ "por %["R1"], %["R0"] \n\t" // Generate a block of inline assembly that takes R0 and R1 and translates // their contents to the base64 alphabet, using preloaded constants. #define TRAN(R0, R1, R2) \ "movdqa %["R0"], %["R1"] \n\t" \ "movdqa %["R0"], %["R2"] \n\t" \ "psubusb %[n51], %["R1"] \n\t" \ "pcmpgtb %[n25], %["R2"] \n\t" \ "psubb %["R2"], %["R1"] \n\t" \ "movdqa %[lut1], %["R2"] \n\t" \ "pshufb %["R1"], %["R2"] \n\t" \ "paddb %["R2"], %["R0"] \n\t" // Generate a block of inline assembly that stores the given register R0 at an // offset set by the given round. #define STOR(R0, ROUND) \ "movdqu %["R0"], ("#ROUND" * 16)(%[dst]) \n\t" // Generate a block of inline assembly that generates a single self-contained // encoder round: fetch the data, process it, and store the result. Then update // the source and destination pointers. #define ROUND() \ LOAD("a", 0) \ SHUF("a", "b") \ TRAN("a", "b", "c") \ STOR("a", 0) \ "add $12, %[src] \n\t" \ "add $16, %[dst] \n\t" // Define a macro that initiates a three-way interleaved encoding round by // preloading registers a, b and c from memory. // The register graph shows which registers are in use during each step, and // is a visual aid for choosing registers for that step. Symbol index: // // + indicates that a register is loaded by that step. // | indicates that a register is in use and must not be touched. // - indicates that a register is decommissioned by that step. // x indicates that a register is used as a temporary by that step. // V indicates that a register is an input or output to the macro. // #define ROUND_3_INIT() /* a b c d e f */ \ LOAD("a", 0) /* + */ \ SHUF("a", "d") /* | + */ \ LOAD("b", 1) /* | + | */ \ TRAN("a", "d", "e") /* | | - x */ \ LOAD("c", 2) /* V V V */ // Define a macro that translates, shuffles and stores the input registers A, B // and C, and preloads registers D, E and F for the next round. // This macro can be arbitrarily daisy-chained by feeding output registers D, E // and F back into the next round as input registers A, B and C. The macro // carefully interleaves memory operations with data operations for optimal // pipelined performance. #define ROUND_3(ROUND, A,B,C,D,E,F) /* A B C D E F */ \ LOAD(D, (ROUND + 3)) /* V V V + */ \ SHUF(B, E) /* | | | | + */ \ STOR(A, (ROUND + 0)) /* - | | | | */ \ TRAN(B, E, F) /* | | | - x */ \ LOAD(E, (ROUND + 4)) /* | | | + */ \ SHUF(C, A) /* + | | | | */ \ STOR(B, (ROUND + 1)) /* | - | | | */ \ TRAN(C, A, F) /* - | | | x */ \ LOAD(F, (ROUND + 5)) /* | | | + */ \ SHUF(D, A) /* + | | | | */ \ STOR(C, (ROUND + 2)) /* | - | | | */ \ TRAN(D, A, B) /* - x V V V */ // Define a macro that terminates a ROUND_3 macro by taking pre-loaded // registers D, E and F, and translating, shuffling and storing them. #define ROUND_3_END(ROUND, A,B,C,D,E,F) /* A B C D E F */ \ SHUF(E, A) /* + V V V */ \ STOR(D, (ROUND + 3)) /* | - | | */ \ TRAN(E, A, B) /* - x | | */ \ SHUF(F, C) /* + | | */ \ STOR(E, (ROUND + 4)) /* | - | */ \ TRAN(F, C, D) /* - x | */ \ STOR(F, (ROUND + 5)) /* - */ // Define a type A round. Inputs are a, b, and c, outputs are d, e, and f. #define ROUND_3_A(ROUND) \ ROUND_3(ROUND, "a", "b", "c", "d", "e", "f") // Define a type B round. Inputs and outputs are swapped with regard to type A. #define ROUND_3_B(ROUND) \ ROUND_3(ROUND, "d", "e", "f", "a", "b", "c") // Terminating macro for a type A round. #define ROUND_3_A_LAST(ROUND) \ ROUND_3_A(ROUND) \ ROUND_3_END(ROUND, "a", "b", "c", "d", "e", "f") // Terminating macro for a type B round. #define ROUND_3_B_LAST(ROUND) \ ROUND_3_B(ROUND) \ ROUND_3_END(ROUND, "d", "e", "f", "a", "b", "c") // Suppress clang's warning that the literal string in the asm statement is // overlong (longer than the ISO-mandated minimum size of 4095 bytes for C99 // compilers). It may be true, but the goal here is not C99 portability. #pragma GCC diagnostic push #pragma GCC diagnostic ignored "-Woverlength-strings" static inline void enc_loop_ssse3 (const uint8_t **s, size_t *slen, uint8_t **o, size_t *olen) { // For a clearer explanation of the algorithm used by this function, // please refer to the plain (not inline assembly) implementation. This // function follows the same basic logic. if (*slen < 16) { return; } // Process blocks of 12 bytes at a time. Input is read in blocks of 16 // bytes, so "reserve" four bytes from the input buffer to ensure that // we never read beyond the end of the input buffer. size_t rounds = (*slen - 4) / 12; *slen -= rounds * 12; // 12 bytes consumed per round *olen += rounds * 16; // 16 bytes produced per round // Number of times to go through the 36x loop. size_t loops = rounds / 36; // Number of rounds remaining after the 36x loop. rounds %= 36; // Lookup tables. const __m128i lut0 = _mm_set_epi8( 10, 11, 9, 10, 7, 8, 6, 7, 4, 5, 3, 4, 1, 2, 0, 1); const __m128i lut1 = _mm_setr_epi8( 65, 71, -4, -4, -4, -4, -4, -4, -4, -4, -4, -4, -19, -16, 0, 0); // Temporary registers. __m128i a, b, c, d, e, f; __asm__ volatile ( // If there are 36 rounds or more, enter a 36x unrolled loop of // interleaved encoding rounds. The rounds interleave memory // operations (load/store) with data operations (table lookups, // etc) to maximize pipeline throughput. " test %[loops], %[loops] \n\t" " jz 18f \n\t" " jmp 36f \n\t" " \n\t" ".balign 64 \n\t" "36: " ROUND_3_INIT() " " ROUND_3_A( 0) " " ROUND_3_B( 3) " " ROUND_3_A( 6) " " ROUND_3_B( 9) " " ROUND_3_A(12) " " ROUND_3_B(15) " " ROUND_3_A(18) " " ROUND_3_B(21) " " ROUND_3_A(24) " " ROUND_3_B(27) " " ROUND_3_A_LAST(30) " add $(12 * 36), %[src] \n\t" " add $(16 * 36), %[dst] \n\t" " dec %[loops] \n\t" " jnz 36b \n\t" // Enter an 18x unrolled loop for rounds of 18 or more. "18: cmp $18, %[rounds] \n\t" " jl 9f \n\t" " " ROUND_3_INIT() " " ROUND_3_A(0) " " ROUND_3_B(3) " " ROUND_3_A(6) " " ROUND_3_B(9) " " ROUND_3_A_LAST(12) " sub $18, %[rounds] \n\t" " add $(12 * 18), %[src] \n\t" " add $(16 * 18), %[dst] \n\t" // Enter a 9x unrolled loop for rounds of 9 or more. "9: cmp $9, %[rounds] \n\t" " jl 6f \n\t" " " ROUND_3_INIT() " " ROUND_3_A(0) " " ROUND_3_B_LAST(3) " sub $9, %[rounds] \n\t" " add $(12 * 9), %[src] \n\t" " add $(16 * 9), %[dst] \n\t" // Enter a 6x unrolled loop for rounds of 6 or more. "6: cmp $6, %[rounds] \n\t" " jl 55f \n\t" " " ROUND_3_INIT() " " ROUND_3_A_LAST(0) " sub $6, %[rounds] \n\t" " add $(12 * 6), %[src] \n\t" " add $(16 * 6), %[dst] \n\t" // Dispatch the remaining rounds 0..5. "55: cmp $3, %[rounds] \n\t" " jg 45f \n\t" " je 3f \n\t" " cmp $1, %[rounds] \n\t" " jg 2f \n\t" " je 1f \n\t" " jmp 0f \n\t" "45: cmp $4, %[rounds] \n\t" " je 4f \n\t" // Block of non-interlaced encoding rounds, which can each // individually be jumped to. Rounds fall through to the next. "5: " ROUND() "4: " ROUND() "3: " ROUND() "2: " ROUND() "1: " ROUND() "0: \n\t" // Outputs (modified). : [rounds] "+r" (rounds), [loops] "+r" (loops), [src] "+r" (*s), [dst] "+r" (*o), [a] "=&x" (a), [b] "=&x" (b), [c] "=&x" (c), [d] "=&x" (d), [e] "=&x" (e), [f] "=&x" (f) // Inputs (not modified). : [lut0] "x" (lut0), [lut1] "x" (lut1), [msk0] "x" (_mm_set1_epi32(0x0FC0FC00)), [msk1] "x" (_mm_set1_epi32(0x04000040)), [msk2] "x" (_mm_set1_epi32(0x003F03F0)), [msk3] "x" (_mm_set1_epi32(0x01000010)), [n51] "x" (_mm_set1_epi8(51)), [n25] "x" (_mm_set1_epi8(25)) // Clobbers. : "cc", "memory" ); } #pragma GCC diagnostic pop ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/ssse3/enc_reshuffle.c0000644000175100017510000000275215112307767022634 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE __m128i enc_reshuffle (__m128i in) { // Input, bytes MSB to LSB: // 0 0 0 0 l k j i h g f e d c b a in = _mm_shuffle_epi8(in, _mm_set_epi8( 10, 11, 9, 10, 7, 8, 6, 7, 4, 5, 3, 4, 1, 2, 0, 1)); // in, bytes MSB to LSB: // k l j k // h i g h // e f d e // b c a b const __m128i t0 = _mm_and_si128(in, _mm_set1_epi32(0x0FC0FC00)); // bits, upper case are most significant bits, lower case are least significant bits // 0000kkkk LL000000 JJJJJJ00 00000000 // 0000hhhh II000000 GGGGGG00 00000000 // 0000eeee FF000000 DDDDDD00 00000000 // 0000bbbb CC000000 AAAAAA00 00000000 const __m128i t1 = _mm_mulhi_epu16(t0, _mm_set1_epi32(0x04000040)); // 00000000 00kkkkLL 00000000 00JJJJJJ // 00000000 00hhhhII 00000000 00GGGGGG // 00000000 00eeeeFF 00000000 00DDDDDD // 00000000 00bbbbCC 00000000 00AAAAAA const __m128i t2 = _mm_and_si128(in, _mm_set1_epi32(0x003F03F0)); // 00000000 00llllll 000000jj KKKK0000 // 00000000 00iiiiii 000000gg HHHH0000 // 00000000 00ffffff 000000dd EEEE0000 // 00000000 00cccccc 000000aa BBBB0000 const __m128i t3 = _mm_mullo_epi16(t2, _mm_set1_epi32(0x01000010)); // 00llllll 00000000 00jjKKKK 00000000 // 00iiiiii 00000000 00ggHHHH 00000000 // 00ffffff 00000000 00ddEEEE 00000000 // 00cccccc 00000000 00aaBBBB 00000000 return _mm_or_si128(t1, t3); // 00llllll 00kkkkLL 00jjKKKK 00JJJJJJ // 00iiiiii 00hhhhII 00ggHHHH 00GGGGGG // 00ffffff 00eeeeFF 00ddEEEE 00DDDDDD // 00cccccc 00bbbbCC 00aaBBBB 00AAAAAA } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/arch/ssse3/enc_translate.c0000644000175100017510000000222315112307767022637 0ustar00runnerrunnerstatic BASE64_FORCE_INLINE __m128i enc_translate (const __m128i in) { // A lookup table containing the absolute offsets for all ranges: const __m128i lut = _mm_setr_epi8( 65, 71, -4, -4, -4, -4, -4, -4, -4, -4, -4, -4, -19, -16, 0, 0 ); // Translate values 0..63 to the Base64 alphabet. There are five sets: // # From To Abs Index Characters // 0 [0..25] [65..90] +65 0 ABCDEFGHIJKLMNOPQRSTUVWXYZ // 1 [26..51] [97..122] +71 1 abcdefghijklmnopqrstuvwxyz // 2 [52..61] [48..57] -4 [2..11] 0123456789 // 3 [62] [43] -19 12 + // 4 [63] [47] -16 13 / // Create LUT indices from the input. The index for range #0 is right, // others are 1 less than expected: __m128i indices = _mm_subs_epu8(in, _mm_set1_epi8(51)); // mask is 0xFF (-1) for range #[1..4] and 0x00 for range #0: __m128i mask = _mm_cmpgt_epi8(in, _mm_set1_epi8(25)); // Subtract -1, so add 1 to indices for range #[1..4]. All indices are // now correct: indices = _mm_sub_epi8(indices, mask); // Add offsets to input values: return _mm_add_epi8(in, _mm_shuffle_epi8(lut, indices)); } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/codec_choose.c0000644000175100017510000001664615112307767020473 0ustar00runnerrunner#include #include #include #include #include #include "libbase64.h" #include "codecs.h" #include "config.h" #include "env.h" #if (__x86_64__ || __i386__ || _M_X86 || _M_X64) #define BASE64_X86 #if (HAVE_SSSE3 || HAVE_SSE41 || HAVE_SSE42 || HAVE_AVX || HAVE_AVX2 || HAVE_AVX512) #define BASE64_X86_SIMD #endif #endif #ifdef BASE64_X86 #ifdef _MSC_VER #include #define __cpuid_count(__level, __count, __eax, __ebx, __ecx, __edx) \ { \ int info[4]; \ __cpuidex(info, __level, __count); \ __eax = info[0]; \ __ebx = info[1]; \ __ecx = info[2]; \ __edx = info[3]; \ } #define __cpuid(__level, __eax, __ebx, __ecx, __edx) \ __cpuid_count(__level, 0, __eax, __ebx, __ecx, __edx) #else #include #if HAVE_AVX512 || HAVE_AVX2 || HAVE_AVX #if ((__GNUC__ > 4 || __GNUC__ == 4 && __GNUC_MINOR__ >= 2) || (__clang_major__ >= 3)) static inline uint64_t _xgetbv (uint32_t index) { uint32_t eax, edx; __asm__ __volatile__("xgetbv" : "=a"(eax), "=d"(edx) : "c"(index)); return ((uint64_t)edx << 32) | eax; } #else #error "Platform not supported" #endif #endif #endif #ifndef bit_AVX512vl #define bit_AVX512vl (1 << 31) #endif #ifndef bit_AVX512vbmi #define bit_AVX512vbmi (1 << 1) #endif #ifndef bit_AVX2 #define bit_AVX2 (1 << 5) #endif #ifndef bit_SSSE3 #define bit_SSSE3 (1 << 9) #endif #ifndef bit_SSE41 #define bit_SSE41 (1 << 19) #endif #ifndef bit_SSE42 #define bit_SSE42 (1 << 20) #endif #ifndef bit_AVX #define bit_AVX (1 << 28) #endif #define bit_XSAVE_XRSTORE (1 << 27) #ifndef _XCR_XFEATURE_ENABLED_MASK #define _XCR_XFEATURE_ENABLED_MASK 0 #endif #define bit_XMM (1 << 1) #define bit_YMM (1 << 2) #define bit_OPMASK (1 << 5) #define bit_ZMM (1 << 6) #define bit_HIGH_ZMM (1 << 7) #define _XCR_XMM_AND_YMM_STATE_ENABLED_BY_OS (bit_XMM | bit_YMM) #define _AVX_512_ENABLED_BY_OS (bit_XMM | bit_YMM | bit_OPMASK | bit_ZMM | bit_HIGH_ZMM) #endif // Function declarations: #define BASE64_CODEC_FUNCS(arch) \ extern void base64_stream_encode_ ## arch BASE64_ENC_PARAMS; \ extern int base64_stream_decode_ ## arch BASE64_DEC_PARAMS; BASE64_CODEC_FUNCS(avx512) BASE64_CODEC_FUNCS(avx2) BASE64_CODEC_FUNCS(neon32) BASE64_CODEC_FUNCS(neon64) BASE64_CODEC_FUNCS(plain) BASE64_CODEC_FUNCS(ssse3) BASE64_CODEC_FUNCS(sse41) BASE64_CODEC_FUNCS(sse42) BASE64_CODEC_FUNCS(avx) static bool codec_choose_forced (struct codec *codec, int flags) { // If the user wants to use a certain codec, // always allow it, even if the codec is a no-op. // For testing purposes. if (!(flags & 0xFFFF)) { return false; } if (flags & BASE64_FORCE_AVX2) { codec->enc = base64_stream_encode_avx2; codec->dec = base64_stream_decode_avx2; return true; } if (flags & BASE64_FORCE_NEON32) { codec->enc = base64_stream_encode_neon32; codec->dec = base64_stream_decode_neon32; return true; } if (flags & BASE64_FORCE_NEON64) { codec->enc = base64_stream_encode_neon64; codec->dec = base64_stream_decode_neon64; return true; } if (flags & BASE64_FORCE_PLAIN) { codec->enc = base64_stream_encode_plain; codec->dec = base64_stream_decode_plain; return true; } if (flags & BASE64_FORCE_SSSE3) { codec->enc = base64_stream_encode_ssse3; codec->dec = base64_stream_decode_ssse3; return true; } if (flags & BASE64_FORCE_SSE41) { codec->enc = base64_stream_encode_sse41; codec->dec = base64_stream_decode_sse41; return true; } if (flags & BASE64_FORCE_SSE42) { codec->enc = base64_stream_encode_sse42; codec->dec = base64_stream_decode_sse42; return true; } if (flags & BASE64_FORCE_AVX) { codec->enc = base64_stream_encode_avx; codec->dec = base64_stream_decode_avx; return true; } if (flags & BASE64_FORCE_AVX512) { codec->enc = base64_stream_encode_avx512; codec->dec = base64_stream_decode_avx512; return true; } return false; } static bool codec_choose_arm (struct codec *codec) { #if HAVE_NEON64 || ((defined(__ARM_NEON__) || defined(__ARM_NEON)) && HAVE_NEON32) // Unfortunately there is no portable way to check for NEON // support at runtime from userland in the same way that x86 // has cpuid, so just stick to the compile-time configuration: #if HAVE_NEON64 codec->enc = base64_stream_encode_neon64; codec->dec = base64_stream_decode_neon64; #else codec->enc = base64_stream_encode_neon32; codec->dec = base64_stream_decode_neon32; #endif return true; #else (void)codec; return false; #endif } static bool codec_choose_x86 (struct codec *codec) { #ifdef BASE64_X86_SIMD unsigned int eax, ebx = 0, ecx = 0, edx; unsigned int max_level; #ifdef _MSC_VER int info[4]; __cpuidex(info, 0, 0); max_level = info[0]; #else max_level = __get_cpuid_max(0, NULL); #endif #if HAVE_AVX512 || HAVE_AVX2 || HAVE_AVX // Check for AVX/AVX2/AVX512 support: // Checking for AVX requires 3 things: // 1) CPUID indicates that the OS uses XSAVE and XRSTORE instructions // (allowing saving YMM registers on context switch) // 2) CPUID indicates support for AVX // 3) XGETBV indicates the AVX registers will be saved and restored on // context switch // // Note that XGETBV is only available on 686 or later CPUs, so the // instruction needs to be conditionally run. if (max_level >= 1) { __cpuid_count(1, 0, eax, ebx, ecx, edx); if (ecx & bit_XSAVE_XRSTORE) { uint64_t xcr_mask; xcr_mask = _xgetbv(_XCR_XFEATURE_ENABLED_MASK); if ((xcr_mask & _XCR_XMM_AND_YMM_STATE_ENABLED_BY_OS) == _XCR_XMM_AND_YMM_STATE_ENABLED_BY_OS) { // check multiple bits at once #if HAVE_AVX512 if (max_level >= 7 && ((xcr_mask & _AVX_512_ENABLED_BY_OS) == _AVX_512_ENABLED_BY_OS)) { __cpuid_count(7, 0, eax, ebx, ecx, edx); if ((ebx & bit_AVX512vl) && (ecx & bit_AVX512vbmi)) { codec->enc = base64_stream_encode_avx512; codec->dec = base64_stream_decode_avx512; return true; } } #endif #if HAVE_AVX2 if (max_level >= 7) { __cpuid_count(7, 0, eax, ebx, ecx, edx); if (ebx & bit_AVX2) { codec->enc = base64_stream_encode_avx2; codec->dec = base64_stream_decode_avx2; return true; } } #endif #if HAVE_AVX __cpuid_count(1, 0, eax, ebx, ecx, edx); if (ecx & bit_AVX) { codec->enc = base64_stream_encode_avx; codec->dec = base64_stream_decode_avx; return true; } #endif } } } #endif #if HAVE_SSE42 // Check for SSE42 support: if (max_level >= 1) { __cpuid(1, eax, ebx, ecx, edx); if (ecx & bit_SSE42) { codec->enc = base64_stream_encode_sse42; codec->dec = base64_stream_decode_sse42; return true; } } #endif #if HAVE_SSE41 // Check for SSE41 support: if (max_level >= 1) { __cpuid(1, eax, ebx, ecx, edx); if (ecx & bit_SSE41) { codec->enc = base64_stream_encode_sse41; codec->dec = base64_stream_decode_sse41; return true; } } #endif #if HAVE_SSSE3 // Check for SSSE3 support: if (max_level >= 1) { __cpuid(1, eax, ebx, ecx, edx); if (ecx & bit_SSSE3) { codec->enc = base64_stream_encode_ssse3; codec->dec = base64_stream_decode_ssse3; return true; } } #endif #else (void)codec; #endif return false; } void codec_choose (struct codec *codec, int flags) { // User forced a codec: if (codec_choose_forced(codec, flags)) { return; } // Runtime feature detection: if (codec_choose_arm(codec)) { return; } if (codec_choose_x86(codec)) { return; } codec->enc = base64_stream_encode_plain; codec->dec = base64_stream_decode_plain; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/codecs.h0000644000175100017510000000224415112307767017310 0ustar00runnerrunner#include "libbase64.h" // Function parameters for encoding functions: #define BASE64_ENC_PARAMS \ ( struct base64_state *state \ , const char *src \ , size_t srclen \ , char *out \ , size_t *outlen \ ) // Function parameters for decoding functions: #define BASE64_DEC_PARAMS \ ( struct base64_state *state \ , const char *src \ , size_t srclen \ , char *out \ , size_t *outlen \ ) // This function is used as a stub when a certain encoder is not compiled in. // It discards the inputs and returns zero output bytes. static inline void base64_enc_stub BASE64_ENC_PARAMS { (void) state; (void) src; (void) srclen; (void) out; *outlen = 0; } // This function is used as a stub when a certain decoder is not compiled in. // It discards the inputs and returns an invalid decoding result. static inline int base64_dec_stub BASE64_DEC_PARAMS { (void) state; (void) src; (void) srclen; (void) out; (void) outlen; return -1; } typedef void (* base64_enc_fn) BASE64_ENC_PARAMS; typedef int (* base64_dec_fn) BASE64_DEC_PARAMS; struct codec { base64_enc_fn enc; base64_dec_fn dec; }; extern void codec_choose (struct codec *, int flags); ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/config.h0000644000175100017510000000103215112307767017307 0ustar00runnerrunner#ifndef BASE64_CONFIG_H #define BASE64_CONFIG_H #if !defined(__APPLE__) && ((defined(__x86_64__) && defined(__LP64__)) || defined(_M_X64)) #define HAVE_SSSE3 1 #define HAVE_SSE41 1 #define HAVE_SSE42 1 #define HAVE_AVX 1 #define HAVE_AVX2 1 #define HAVE_AVX512 0 #endif #define BASE64_WITH_NEON32 0 #define HAVE_NEON32 BASE64_WITH_NEON32 #if defined(__APPLE__) && defined(__aarch64__) #define BASE64_WITH_NEON64 1 #else #define BASE64_WITH_NEON64 0 #endif #define HAVE_NEON64 BASE64_WITH_NEON64 #endif // BASE64_CONFIG_H ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/env.h0000644000175100017510000000462515112307767016645 0ustar00runnerrunner#ifndef BASE64_ENV_H #define BASE64_ENV_H #include // This header file contains macro definitions that describe certain aspects of // the compile-time environment. Compatibility and portability macros go here. // Define machine endianness. This is for GCC: #if (__BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__) # define BASE64_LITTLE_ENDIAN 1 #else # define BASE64_LITTLE_ENDIAN 0 #endif // This is for Clang: #ifdef __LITTLE_ENDIAN__ # define BASE64_LITTLE_ENDIAN 1 #endif #ifdef __BIG_ENDIAN__ # define BASE64_LITTLE_ENDIAN 0 #endif // MSVC++ needs intrin.h for _byteswap_uint64 (issue #68): #if BASE64_LITTLE_ENDIAN && defined(_MSC_VER) # include #endif // Endian conversion functions: #if BASE64_LITTLE_ENDIAN # ifdef _MSC_VER // Microsoft Visual C++: # define BASE64_HTOBE32(x) _byteswap_ulong(x) # define BASE64_HTOBE64(x) _byteswap_uint64(x) # else // GCC and Clang: # define BASE64_HTOBE32(x) __builtin_bswap32(x) # define BASE64_HTOBE64(x) __builtin_bswap64(x) # endif #else // No conversion needed: # define BASE64_HTOBE32(x) (x) # define BASE64_HTOBE64(x) (x) #endif // Detect word size: #if defined (__x86_64__) // This also works for the x32 ABI, which has a 64-bit word size. # define BASE64_WORDSIZE 64 #elif SIZE_MAX == UINT32_MAX # define BASE64_WORDSIZE 32 #elif SIZE_MAX == UINT64_MAX # define BASE64_WORDSIZE 64 #else # error BASE64_WORDSIZE_NOT_DEFINED #endif // End-of-file definitions. // Almost end-of-file when waiting for the last '=' character: #define BASE64_AEOF 1 // End-of-file when stream end has been reached or invalid input provided: #define BASE64_EOF 2 // GCC 7 defaults to issuing a warning for fallthrough in switch statements, // unless the fallthrough cases are marked with an attribute. As we use // fallthrough deliberately, define an alias for the attribute: #if __GNUC__ >= 7 # define BASE64_FALLTHROUGH __attribute__((fallthrough)); #else # define BASE64_FALLTHROUGH #endif // Declare macros to ensure that functions that are intended to be inlined, are // actually inlined, even when no optimization is applied. A lot of inner loop // code is factored into separate functions for reasons of readability, but // that code should always be inlined (and optimized) in the main loop. #ifdef _MSC_VER # define BASE64_FORCE_INLINE __forceinline #else # define BASE64_FORCE_INLINE inline __attribute__((always_inline)) #endif #endif // BASE64_ENV_H ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/lib.c0000644000175100017510000000630615112307767016614 0ustar00runnerrunner#include #include #ifdef _OPENMP #include #endif #include "libbase64.h" #include "tables/tables.h" #include "codecs.h" #include "env.h" // These static function pointers are initialized once when the library is // first used, and remain in use for the remaining lifetime of the program. // The idea being that CPU features don't change at runtime. static struct codec codec = { NULL, NULL }; void base64_stream_encode_init (struct base64_state *state, int flags) { // If any of the codec flags are set, redo choice: if (codec.enc == NULL || flags & 0xFF) { codec_choose(&codec, flags); } state->eof = 0; state->bytes = 0; state->carry = 0; state->flags = flags; } void base64_stream_encode ( struct base64_state *state , const char *src , size_t srclen , char *out , size_t *outlen ) { codec.enc(state, src, srclen, out, outlen); } void base64_stream_encode_final ( struct base64_state *state , char *out , size_t *outlen ) { uint8_t *o = (uint8_t *)out; if (state->bytes == 1) { *o++ = base64_table_enc_6bit[state->carry]; *o++ = '='; *o++ = '='; *outlen = 3; return; } if (state->bytes == 2) { *o++ = base64_table_enc_6bit[state->carry]; *o++ = '='; *outlen = 2; return; } *outlen = 0; } void base64_stream_decode_init (struct base64_state *state, int flags) { // If any of the codec flags are set, redo choice: if (codec.dec == NULL || flags & 0xFFFF) { codec_choose(&codec, flags); } state->eof = 0; state->bytes = 0; state->carry = 0; state->flags = flags; } int base64_stream_decode ( struct base64_state *state , const char *src , size_t srclen , char *out , size_t *outlen ) { return codec.dec(state, src, srclen, out, outlen); } #ifdef _OPENMP // Due to the overhead of initializing OpenMP and creating a team of // threads, we require the data length to be larger than a threshold: #define OMP_THRESHOLD 20000 // Conditionally include OpenMP-accelerated codec implementations: #include "lib_openmp.c" #endif void base64_encode ( const char *src , size_t srclen , char *out , size_t *outlen , int flags ) { size_t s; size_t t; struct base64_state state; #ifdef _OPENMP if (srclen >= OMP_THRESHOLD) { base64_encode_openmp(src, srclen, out, outlen, flags); return; } #endif // Init the stream reader: base64_stream_encode_init(&state, flags); // Feed the whole string to the stream reader: base64_stream_encode(&state, src, srclen, out, &s); // Finalize the stream by writing trailer if any: base64_stream_encode_final(&state, out + s, &t); // Final output length is stream length plus tail: *outlen = s + t; } int base64_decode ( const char *src , size_t srclen , char *out , size_t *outlen , int flags ) { int ret; struct base64_state state; #ifdef _OPENMP if (srclen >= OMP_THRESHOLD) { return base64_decode_openmp(src, srclen, out, outlen, flags); } #endif // Init the stream reader: base64_stream_decode_init(&state, flags); // Feed the whole string to the stream reader: ret = base64_stream_decode(&state, src, srclen, out, outlen); // If when decoding a whole block, we're still waiting for input then fail: if (ret && (state.bytes == 0)) { return ret; } return 0; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/libbase64.h0000644000175100017510000001126515112307767017626 0ustar00runnerrunner#ifndef LIBBASE64_H #define LIBBASE64_H #include /* size_t */ #if defined(_WIN32) || defined(__CYGWIN__) #define BASE64_SYMBOL_IMPORT __declspec(dllimport) #define BASE64_SYMBOL_EXPORT __declspec(dllexport) #define BASE64_SYMBOL_PRIVATE #elif __GNUC__ >= 4 #define BASE64_SYMBOL_IMPORT __attribute__ ((visibility ("default"))) #define BASE64_SYMBOL_EXPORT __attribute__ ((visibility ("default"))) #define BASE64_SYMBOL_PRIVATE __attribute__ ((visibility ("hidden"))) #else #define BASE64_SYMBOL_IMPORT #define BASE64_SYMBOL_EXPORT #define BASE64_SYMBOL_PRIVATE #endif #if defined(BASE64_STATIC_DEFINE) #define BASE64_EXPORT #define BASE64_NO_EXPORT #else #if defined(BASE64_EXPORTS) // defined if we are building the shared library #define BASE64_EXPORT BASE64_SYMBOL_EXPORT #else #define BASE64_EXPORT BASE64_SYMBOL_IMPORT #endif #define BASE64_NO_EXPORT BASE64_SYMBOL_PRIVATE #endif #ifdef __cplusplus extern "C" { #endif /* These are the flags that can be passed in the `flags` argument. The values * below force the use of a given codec, even if that codec is a no-op in the * current build. Used in testing. Set to 0 for the default behavior, which is * runtime feature detection on x86, a compile-time fixed codec on ARM, and * the plain codec on other platforms: */ #define BASE64_FORCE_AVX2 (1 << 0) #define BASE64_FORCE_NEON32 (1 << 1) #define BASE64_FORCE_NEON64 (1 << 2) #define BASE64_FORCE_PLAIN (1 << 3) #define BASE64_FORCE_SSSE3 (1 << 4) #define BASE64_FORCE_SSE41 (1 << 5) #define BASE64_FORCE_SSE42 (1 << 6) #define BASE64_FORCE_AVX (1 << 7) #define BASE64_FORCE_AVX512 (1 << 8) struct base64_state { int eof; int bytes; int flags; unsigned char carry; }; /* Wrapper function to encode a plain string of given length. Output is written * to *out without trailing zero. Output length in bytes is written to *outlen. * The buffer in `out` has been allocated by the caller and is at least 4/3 the * size of the input. See above for `flags`; set to 0 for default operation: */ void BASE64_EXPORT base64_encode ( const char *src , size_t srclen , char *out , size_t *outlen , int flags ) ; /* Call this before calling base64_stream_encode() to init the state. See above * for `flags`; set to 0 for default operation: */ void BASE64_EXPORT base64_stream_encode_init ( struct base64_state *state , int flags ) ; /* Encodes the block of data of given length at `src`, into the buffer at * `out`. Caller is responsible for allocating a large enough out-buffer; it * must be at least 4/3 the size of the in-buffer, but take some margin. Places * the number of new bytes written into `outlen` (which is set to zero when the * function starts). Does not zero-terminate or finalize the output. */ void BASE64_EXPORT base64_stream_encode ( struct base64_state *state , const char *src , size_t srclen , char *out , size_t *outlen ) ; /* Finalizes the output begun by previous calls to `base64_stream_encode()`. * Adds the required end-of-stream markers if appropriate. `outlen` is modified * and will contain the number of new bytes written at `out` (which will quite * often be zero). */ void BASE64_EXPORT base64_stream_encode_final ( struct base64_state *state , char *out , size_t *outlen ) ; /* Wrapper function to decode a plain string of given length. Output is written * to *out without trailing zero. Output length in bytes is written to *outlen. * The buffer in `out` has been allocated by the caller and is at least 3/4 the * size of the input. See above for `flags`, set to 0 for default operation: */ int BASE64_EXPORT base64_decode ( const char *src , size_t srclen , char *out , size_t *outlen , int flags ) ; /* Call this before calling base64_stream_decode() to init the state. See above * for `flags`; set to 0 for default operation: */ void BASE64_EXPORT base64_stream_decode_init ( struct base64_state *state , int flags ) ; /* Decodes the block of data of given length at `src`, into the buffer at * `out`. Caller is responsible for allocating a large enough out-buffer; it * must be at least 3/4 the size of the in-buffer, but take some margin. Places * the number of new bytes written into `outlen` (which is set to zero when the * function starts). Does not zero-terminate the output. Returns 1 if all is * well, and 0 if a decoding error was found, such as an invalid character. * Returns -1 if the chosen codec is not included in the current build. Used by * the test harness to check whether a codec is available for testing. */ int BASE64_EXPORT base64_stream_decode ( struct base64_state *state , const char *src , size_t srclen , char *out , size_t *outlen ) ; #ifdef __cplusplus } #endif #endif /* LIBBASE64_H */ ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.656766 mypy-1.19.0/mypyc/lib-rt/base64/tables/0000755000175100017510000000000015112310012017120 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/tables/table_dec_32bit.h0000644000175100017510000006125215112307767022233 0ustar00runnerrunner#include #define CHAR62 '+' #define CHAR63 '/' #define CHARPAD '=' #if BASE64_LITTLE_ENDIAN /* SPECIAL DECODE TABLES FOR LITTLE ENDIAN (INTEL) CPUS */ const uint32_t base64_table_dec_32bit_d0[256] = { 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x000000f8, 0xffffffff, 0xffffffff, 0xffffffff, 0x000000fc, 0x000000d0, 0x000000d4, 0x000000d8, 0x000000dc, 0x000000e0, 0x000000e4, 0x000000e8, 0x000000ec, 0x000000f0, 0x000000f4, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000000, 0x00000004, 0x00000008, 0x0000000c, 0x00000010, 0x00000014, 0x00000018, 0x0000001c, 0x00000020, 0x00000024, 0x00000028, 0x0000002c, 0x00000030, 0x00000034, 0x00000038, 0x0000003c, 0x00000040, 0x00000044, 0x00000048, 0x0000004c, 0x00000050, 0x00000054, 0x00000058, 0x0000005c, 0x00000060, 0x00000064, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000068, 0x0000006c, 0x00000070, 0x00000074, 0x00000078, 0x0000007c, 0x00000080, 0x00000084, 0x00000088, 0x0000008c, 0x00000090, 0x00000094, 0x00000098, 0x0000009c, 0x000000a0, 0x000000a4, 0x000000a8, 0x000000ac, 0x000000b0, 0x000000b4, 0x000000b8, 0x000000bc, 0x000000c0, 0x000000c4, 0x000000c8, 0x000000cc, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff }; const uint32_t base64_table_dec_32bit_d1[256] = { 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x0000e003, 0xffffffff, 0xffffffff, 0xffffffff, 0x0000f003, 0x00004003, 0x00005003, 0x00006003, 0x00007003, 0x00008003, 0x00009003, 0x0000a003, 0x0000b003, 0x0000c003, 0x0000d003, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000000, 0x00001000, 0x00002000, 0x00003000, 0x00004000, 0x00005000, 0x00006000, 0x00007000, 0x00008000, 0x00009000, 0x0000a000, 0x0000b000, 0x0000c000, 0x0000d000, 0x0000e000, 0x0000f000, 0x00000001, 0x00001001, 0x00002001, 0x00003001, 0x00004001, 0x00005001, 0x00006001, 0x00007001, 0x00008001, 0x00009001, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x0000a001, 0x0000b001, 0x0000c001, 0x0000d001, 0x0000e001, 0x0000f001, 0x00000002, 0x00001002, 0x00002002, 0x00003002, 0x00004002, 0x00005002, 0x00006002, 0x00007002, 0x00008002, 0x00009002, 0x0000a002, 0x0000b002, 0x0000c002, 0x0000d002, 0x0000e002, 0x0000f002, 0x00000003, 0x00001003, 0x00002003, 0x00003003, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff }; const uint32_t base64_table_dec_32bit_d2[256] = { 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00800f00, 0xffffffff, 0xffffffff, 0xffffffff, 0x00c00f00, 0x00000d00, 0x00400d00, 0x00800d00, 0x00c00d00, 0x00000e00, 0x00400e00, 0x00800e00, 0x00c00e00, 0x00000f00, 0x00400f00, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000000, 0x00400000, 0x00800000, 0x00c00000, 0x00000100, 0x00400100, 0x00800100, 0x00c00100, 0x00000200, 0x00400200, 0x00800200, 0x00c00200, 0x00000300, 0x00400300, 0x00800300, 0x00c00300, 0x00000400, 0x00400400, 0x00800400, 0x00c00400, 0x00000500, 0x00400500, 0x00800500, 0x00c00500, 0x00000600, 0x00400600, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00800600, 0x00c00600, 0x00000700, 0x00400700, 0x00800700, 0x00c00700, 0x00000800, 0x00400800, 0x00800800, 0x00c00800, 0x00000900, 0x00400900, 0x00800900, 0x00c00900, 0x00000a00, 0x00400a00, 0x00800a00, 0x00c00a00, 0x00000b00, 0x00400b00, 0x00800b00, 0x00c00b00, 0x00000c00, 0x00400c00, 0x00800c00, 0x00c00c00, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff }; const uint32_t base64_table_dec_32bit_d3[256] = { 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x003e0000, 0xffffffff, 0xffffffff, 0xffffffff, 0x003f0000, 0x00340000, 0x00350000, 0x00360000, 0x00370000, 0x00380000, 0x00390000, 0x003a0000, 0x003b0000, 0x003c0000, 0x003d0000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000000, 0x00010000, 0x00020000, 0x00030000, 0x00040000, 0x00050000, 0x00060000, 0x00070000, 0x00080000, 0x00090000, 0x000a0000, 0x000b0000, 0x000c0000, 0x000d0000, 0x000e0000, 0x000f0000, 0x00100000, 0x00110000, 0x00120000, 0x00130000, 0x00140000, 0x00150000, 0x00160000, 0x00170000, 0x00180000, 0x00190000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x001a0000, 0x001b0000, 0x001c0000, 0x001d0000, 0x001e0000, 0x001f0000, 0x00200000, 0x00210000, 0x00220000, 0x00230000, 0x00240000, 0x00250000, 0x00260000, 0x00270000, 0x00280000, 0x00290000, 0x002a0000, 0x002b0000, 0x002c0000, 0x002d0000, 0x002e0000, 0x002f0000, 0x00300000, 0x00310000, 0x00320000, 0x00330000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff }; #else /* SPECIAL DECODE TABLES FOR BIG ENDIAN (IBM/MOTOROLA/SUN) CPUS */ const uint32_t base64_table_dec_32bit_d0[256] = { 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xf8000000, 0xffffffff, 0xffffffff, 0xffffffff, 0xfc000000, 0xd0000000, 0xd4000000, 0xd8000000, 0xdc000000, 0xe0000000, 0xe4000000, 0xe8000000, 0xec000000, 0xf0000000, 0xf4000000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000000, 0x04000000, 0x08000000, 0x0c000000, 0x10000000, 0x14000000, 0x18000000, 0x1c000000, 0x20000000, 0x24000000, 0x28000000, 0x2c000000, 0x30000000, 0x34000000, 0x38000000, 0x3c000000, 0x40000000, 0x44000000, 0x48000000, 0x4c000000, 0x50000000, 0x54000000, 0x58000000, 0x5c000000, 0x60000000, 0x64000000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x68000000, 0x6c000000, 0x70000000, 0x74000000, 0x78000000, 0x7c000000, 0x80000000, 0x84000000, 0x88000000, 0x8c000000, 0x90000000, 0x94000000, 0x98000000, 0x9c000000, 0xa0000000, 0xa4000000, 0xa8000000, 0xac000000, 0xb0000000, 0xb4000000, 0xb8000000, 0xbc000000, 0xc0000000, 0xc4000000, 0xc8000000, 0xcc000000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff }; const uint32_t base64_table_dec_32bit_d1[256] = { 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x03e00000, 0xffffffff, 0xffffffff, 0xffffffff, 0x03f00000, 0x03400000, 0x03500000, 0x03600000, 0x03700000, 0x03800000, 0x03900000, 0x03a00000, 0x03b00000, 0x03c00000, 0x03d00000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000000, 0x00100000, 0x00200000, 0x00300000, 0x00400000, 0x00500000, 0x00600000, 0x00700000, 0x00800000, 0x00900000, 0x00a00000, 0x00b00000, 0x00c00000, 0x00d00000, 0x00e00000, 0x00f00000, 0x01000000, 0x01100000, 0x01200000, 0x01300000, 0x01400000, 0x01500000, 0x01600000, 0x01700000, 0x01800000, 0x01900000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x01a00000, 0x01b00000, 0x01c00000, 0x01d00000, 0x01e00000, 0x01f00000, 0x02000000, 0x02100000, 0x02200000, 0x02300000, 0x02400000, 0x02500000, 0x02600000, 0x02700000, 0x02800000, 0x02900000, 0x02a00000, 0x02b00000, 0x02c00000, 0x02d00000, 0x02e00000, 0x02f00000, 0x03000000, 0x03100000, 0x03200000, 0x03300000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff }; const uint32_t base64_table_dec_32bit_d2[256] = { 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x000f8000, 0xffffffff, 0xffffffff, 0xffffffff, 0x000fc000, 0x000d0000, 0x000d4000, 0x000d8000, 0x000dc000, 0x000e0000, 0x000e4000, 0x000e8000, 0x000ec000, 0x000f0000, 0x000f4000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000000, 0x00004000, 0x00008000, 0x0000c000, 0x00010000, 0x00014000, 0x00018000, 0x0001c000, 0x00020000, 0x00024000, 0x00028000, 0x0002c000, 0x00030000, 0x00034000, 0x00038000, 0x0003c000, 0x00040000, 0x00044000, 0x00048000, 0x0004c000, 0x00050000, 0x00054000, 0x00058000, 0x0005c000, 0x00060000, 0x00064000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00068000, 0x0006c000, 0x00070000, 0x00074000, 0x00078000, 0x0007c000, 0x00080000, 0x00084000, 0x00088000, 0x0008c000, 0x00090000, 0x00094000, 0x00098000, 0x0009c000, 0x000a0000, 0x000a4000, 0x000a8000, 0x000ac000, 0x000b0000, 0x000b4000, 0x000b8000, 0x000bc000, 0x000c0000, 0x000c4000, 0x000c8000, 0x000cc000, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff }; const uint32_t base64_table_dec_32bit_d3[256] = { 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00003e00, 0xffffffff, 0xffffffff, 0xffffffff, 0x00003f00, 0x00003400, 0x00003500, 0x00003600, 0x00003700, 0x00003800, 0x00003900, 0x00003a00, 0x00003b00, 0x00003c00, 0x00003d00, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00000000, 0x00000100, 0x00000200, 0x00000300, 0x00000400, 0x00000500, 0x00000600, 0x00000700, 0x00000800, 0x00000900, 0x00000a00, 0x00000b00, 0x00000c00, 0x00000d00, 0x00000e00, 0x00000f00, 0x00001000, 0x00001100, 0x00001200, 0x00001300, 0x00001400, 0x00001500, 0x00001600, 0x00001700, 0x00001800, 0x00001900, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0x00001a00, 0x00001b00, 0x00001c00, 0x00001d00, 0x00001e00, 0x00001f00, 0x00002000, 0x00002100, 0x00002200, 0x00002300, 0x00002400, 0x00002500, 0x00002600, 0x00002700, 0x00002800, 0x00002900, 0x00002a00, 0x00002b00, 0x00002c00, 0x00002d00, 0x00002e00, 0x00002f00, 0x00003000, 0x00003100, 0x00003200, 0x00003300, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff, 0xffffffff }; #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/tables/table_enc_12bit.h0000644000175100017510000022215215112307767022241 0ustar00runnerrunner#include const uint16_t base64_table_enc_12bit[] = { #if BASE64_LITTLE_ENDIAN 0x4141U, 0x4241U, 0x4341U, 0x4441U, 0x4541U, 0x4641U, 0x4741U, 0x4841U, 0x4941U, 0x4A41U, 0x4B41U, 0x4C41U, 0x4D41U, 0x4E41U, 0x4F41U, 0x5041U, 0x5141U, 0x5241U, 0x5341U, 0x5441U, 0x5541U, 0x5641U, 0x5741U, 0x5841U, 0x5941U, 0x5A41U, 0x6141U, 0x6241U, 0x6341U, 0x6441U, 0x6541U, 0x6641U, 0x6741U, 0x6841U, 0x6941U, 0x6A41U, 0x6B41U, 0x6C41U, 0x6D41U, 0x6E41U, 0x6F41U, 0x7041U, 0x7141U, 0x7241U, 0x7341U, 0x7441U, 0x7541U, 0x7641U, 0x7741U, 0x7841U, 0x7941U, 0x7A41U, 0x3041U, 0x3141U, 0x3241U, 0x3341U, 0x3441U, 0x3541U, 0x3641U, 0x3741U, 0x3841U, 0x3941U, 0x2B41U, 0x2F41U, 0x4142U, 0x4242U, 0x4342U, 0x4442U, 0x4542U, 0x4642U, 0x4742U, 0x4842U, 0x4942U, 0x4A42U, 0x4B42U, 0x4C42U, 0x4D42U, 0x4E42U, 0x4F42U, 0x5042U, 0x5142U, 0x5242U, 0x5342U, 0x5442U, 0x5542U, 0x5642U, 0x5742U, 0x5842U, 0x5942U, 0x5A42U, 0x6142U, 0x6242U, 0x6342U, 0x6442U, 0x6542U, 0x6642U, 0x6742U, 0x6842U, 0x6942U, 0x6A42U, 0x6B42U, 0x6C42U, 0x6D42U, 0x6E42U, 0x6F42U, 0x7042U, 0x7142U, 0x7242U, 0x7342U, 0x7442U, 0x7542U, 0x7642U, 0x7742U, 0x7842U, 0x7942U, 0x7A42U, 0x3042U, 0x3142U, 0x3242U, 0x3342U, 0x3442U, 0x3542U, 0x3642U, 0x3742U, 0x3842U, 0x3942U, 0x2B42U, 0x2F42U, 0x4143U, 0x4243U, 0x4343U, 0x4443U, 0x4543U, 0x4643U, 0x4743U, 0x4843U, 0x4943U, 0x4A43U, 0x4B43U, 0x4C43U, 0x4D43U, 0x4E43U, 0x4F43U, 0x5043U, 0x5143U, 0x5243U, 0x5343U, 0x5443U, 0x5543U, 0x5643U, 0x5743U, 0x5843U, 0x5943U, 0x5A43U, 0x6143U, 0x6243U, 0x6343U, 0x6443U, 0x6543U, 0x6643U, 0x6743U, 0x6843U, 0x6943U, 0x6A43U, 0x6B43U, 0x6C43U, 0x6D43U, 0x6E43U, 0x6F43U, 0x7043U, 0x7143U, 0x7243U, 0x7343U, 0x7443U, 0x7543U, 0x7643U, 0x7743U, 0x7843U, 0x7943U, 0x7A43U, 0x3043U, 0x3143U, 0x3243U, 0x3343U, 0x3443U, 0x3543U, 0x3643U, 0x3743U, 0x3843U, 0x3943U, 0x2B43U, 0x2F43U, 0x4144U, 0x4244U, 0x4344U, 0x4444U, 0x4544U, 0x4644U, 0x4744U, 0x4844U, 0x4944U, 0x4A44U, 0x4B44U, 0x4C44U, 0x4D44U, 0x4E44U, 0x4F44U, 0x5044U, 0x5144U, 0x5244U, 0x5344U, 0x5444U, 0x5544U, 0x5644U, 0x5744U, 0x5844U, 0x5944U, 0x5A44U, 0x6144U, 0x6244U, 0x6344U, 0x6444U, 0x6544U, 0x6644U, 0x6744U, 0x6844U, 0x6944U, 0x6A44U, 0x6B44U, 0x6C44U, 0x6D44U, 0x6E44U, 0x6F44U, 0x7044U, 0x7144U, 0x7244U, 0x7344U, 0x7444U, 0x7544U, 0x7644U, 0x7744U, 0x7844U, 0x7944U, 0x7A44U, 0x3044U, 0x3144U, 0x3244U, 0x3344U, 0x3444U, 0x3544U, 0x3644U, 0x3744U, 0x3844U, 0x3944U, 0x2B44U, 0x2F44U, 0x4145U, 0x4245U, 0x4345U, 0x4445U, 0x4545U, 0x4645U, 0x4745U, 0x4845U, 0x4945U, 0x4A45U, 0x4B45U, 0x4C45U, 0x4D45U, 0x4E45U, 0x4F45U, 0x5045U, 0x5145U, 0x5245U, 0x5345U, 0x5445U, 0x5545U, 0x5645U, 0x5745U, 0x5845U, 0x5945U, 0x5A45U, 0x6145U, 0x6245U, 0x6345U, 0x6445U, 0x6545U, 0x6645U, 0x6745U, 0x6845U, 0x6945U, 0x6A45U, 0x6B45U, 0x6C45U, 0x6D45U, 0x6E45U, 0x6F45U, 0x7045U, 0x7145U, 0x7245U, 0x7345U, 0x7445U, 0x7545U, 0x7645U, 0x7745U, 0x7845U, 0x7945U, 0x7A45U, 0x3045U, 0x3145U, 0x3245U, 0x3345U, 0x3445U, 0x3545U, 0x3645U, 0x3745U, 0x3845U, 0x3945U, 0x2B45U, 0x2F45U, 0x4146U, 0x4246U, 0x4346U, 0x4446U, 0x4546U, 0x4646U, 0x4746U, 0x4846U, 0x4946U, 0x4A46U, 0x4B46U, 0x4C46U, 0x4D46U, 0x4E46U, 0x4F46U, 0x5046U, 0x5146U, 0x5246U, 0x5346U, 0x5446U, 0x5546U, 0x5646U, 0x5746U, 0x5846U, 0x5946U, 0x5A46U, 0x6146U, 0x6246U, 0x6346U, 0x6446U, 0x6546U, 0x6646U, 0x6746U, 0x6846U, 0x6946U, 0x6A46U, 0x6B46U, 0x6C46U, 0x6D46U, 0x6E46U, 0x6F46U, 0x7046U, 0x7146U, 0x7246U, 0x7346U, 0x7446U, 0x7546U, 0x7646U, 0x7746U, 0x7846U, 0x7946U, 0x7A46U, 0x3046U, 0x3146U, 0x3246U, 0x3346U, 0x3446U, 0x3546U, 0x3646U, 0x3746U, 0x3846U, 0x3946U, 0x2B46U, 0x2F46U, 0x4147U, 0x4247U, 0x4347U, 0x4447U, 0x4547U, 0x4647U, 0x4747U, 0x4847U, 0x4947U, 0x4A47U, 0x4B47U, 0x4C47U, 0x4D47U, 0x4E47U, 0x4F47U, 0x5047U, 0x5147U, 0x5247U, 0x5347U, 0x5447U, 0x5547U, 0x5647U, 0x5747U, 0x5847U, 0x5947U, 0x5A47U, 0x6147U, 0x6247U, 0x6347U, 0x6447U, 0x6547U, 0x6647U, 0x6747U, 0x6847U, 0x6947U, 0x6A47U, 0x6B47U, 0x6C47U, 0x6D47U, 0x6E47U, 0x6F47U, 0x7047U, 0x7147U, 0x7247U, 0x7347U, 0x7447U, 0x7547U, 0x7647U, 0x7747U, 0x7847U, 0x7947U, 0x7A47U, 0x3047U, 0x3147U, 0x3247U, 0x3347U, 0x3447U, 0x3547U, 0x3647U, 0x3747U, 0x3847U, 0x3947U, 0x2B47U, 0x2F47U, 0x4148U, 0x4248U, 0x4348U, 0x4448U, 0x4548U, 0x4648U, 0x4748U, 0x4848U, 0x4948U, 0x4A48U, 0x4B48U, 0x4C48U, 0x4D48U, 0x4E48U, 0x4F48U, 0x5048U, 0x5148U, 0x5248U, 0x5348U, 0x5448U, 0x5548U, 0x5648U, 0x5748U, 0x5848U, 0x5948U, 0x5A48U, 0x6148U, 0x6248U, 0x6348U, 0x6448U, 0x6548U, 0x6648U, 0x6748U, 0x6848U, 0x6948U, 0x6A48U, 0x6B48U, 0x6C48U, 0x6D48U, 0x6E48U, 0x6F48U, 0x7048U, 0x7148U, 0x7248U, 0x7348U, 0x7448U, 0x7548U, 0x7648U, 0x7748U, 0x7848U, 0x7948U, 0x7A48U, 0x3048U, 0x3148U, 0x3248U, 0x3348U, 0x3448U, 0x3548U, 0x3648U, 0x3748U, 0x3848U, 0x3948U, 0x2B48U, 0x2F48U, 0x4149U, 0x4249U, 0x4349U, 0x4449U, 0x4549U, 0x4649U, 0x4749U, 0x4849U, 0x4949U, 0x4A49U, 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0x2F30U, 0x2F31U, 0x2F32U, 0x2F33U, 0x2F34U, 0x2F35U, 0x2F36U, 0x2F37U, 0x2F38U, 0x2F39U, 0x2F2BU, 0x2F2FU, #endif }; ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/tables/tables.c0000644000175100017510000000400315112307767020562 0ustar00runnerrunner#include "tables.h" const uint8_t base64_table_enc_6bit[] = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" "abcdefghijklmnopqrstuvwxyz" "0123456789" "+/"; // In the lookup table below, note that the value for '=' (character 61) is // 254, not 255. This character is used for in-band signaling of the end of // the datastream, and we will use that later. The characters A-Z, a-z, 0-9 // and + / are mapped to their "decoded" values. The other bytes all map to // the value 255, which flags them as "invalid input". const uint8_t base64_table_dec_8bit[] = { 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, // 0..15 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, // 16..31 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 62, 255, 255, 255, 63, // 32..47 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 255, 255, 255, 254, 255, 255, // 48..63 255, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, // 64..79 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 255, 255, 255, 255, 255, // 80..95 255, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, // 96..111 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 255, 255, 255, 255, 255, // 112..127 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, // 128..143 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, }; #if BASE64_WORDSIZE >= 32 # include "table_dec_32bit.h" # include "table_enc_12bit.h" #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/base64/tables/tables.h0000644000175100017510000000130015112307767020564 0ustar00runnerrunner#ifndef BASE64_TABLES_H #define BASE64_TABLES_H #include #include "../env.h" // These tables are used by all codecs for fallback plain encoding/decoding: extern const uint8_t base64_table_enc_6bit[]; extern const uint8_t base64_table_dec_8bit[]; // These tables are used for the 32-bit and 64-bit generic decoders: #if BASE64_WORDSIZE >= 32 extern const uint32_t base64_table_dec_32bit_d0[]; extern const uint32_t base64_table_dec_32bit_d1[]; extern const uint32_t base64_table_dec_32bit_d2[]; extern const uint32_t base64_table_dec_32bit_d3[]; // This table is used by the 32 and 64-bit generic encoders: extern const uint16_t base64_table_enc_12bit[]; #endif #endif // BASE64_TABLES_H ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/bytes_ops.c0000644000175100017510000001265615112307767016776 0ustar00runnerrunner// Bytes primitive operations // // These are registered in mypyc.primitives.bytes_ops. #include #include "CPy.h" // Returns -1 on error, 0 on inequality, 1 on equality. // // Falls back to PyObject_RichCompareBool. int CPyBytes_Compare(PyObject *left, PyObject *right) { if (PyBytes_CheckExact(left) && PyBytes_CheckExact(right)) { if (left == right) { return 1; } // Adapted from cpython internal implementation of bytes_compare. Py_ssize_t len = Py_SIZE(left); if (Py_SIZE(right) != len) { return 0; } PyBytesObject *left_b = (PyBytesObject *)left; PyBytesObject *right_b = (PyBytesObject *)right; if (left_b->ob_sval[0] != right_b->ob_sval[0]) { return 0; } return memcmp(left_b->ob_sval, right_b->ob_sval, len) == 0; } return PyObject_RichCompareBool(left, right, Py_EQ); } CPyTagged CPyBytes_GetItem(PyObject *o, CPyTagged index) { if (CPyTagged_CheckShort(index)) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); Py_ssize_t size = ((PyVarObject *)o)->ob_size; if (n < 0) n += size; if (n < 0 || n >= size) { PyErr_SetString(PyExc_IndexError, "index out of range"); return CPY_INT_TAG; } unsigned char num = PyBytes_Check(o) ? ((PyBytesObject *)o)->ob_sval[n] : ((PyByteArrayObject *)o)->ob_bytes[n]; return num << 1; } else { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return CPY_INT_TAG; } } PyObject *CPyBytes_Concat(PyObject *a, PyObject *b) { if (PyBytes_Check(a) && PyBytes_Check(b)) { Py_ssize_t a_len = ((PyVarObject *)a)->ob_size; Py_ssize_t b_len = ((PyVarObject *)b)->ob_size; PyBytesObject *ret = (PyBytesObject *)PyBytes_FromStringAndSize(NULL, a_len + b_len); if (ret != NULL) { memcpy(ret->ob_sval, ((PyBytesObject *)a)->ob_sval, a_len); memcpy(ret->ob_sval + a_len, ((PyBytesObject *)b)->ob_sval, b_len); } return (PyObject *)ret; } else if (PyByteArray_Check(a)) { return PyByteArray_Concat(a, b); } else { PyBytes_Concat(&a, b); return a; } } static inline Py_ssize_t Clamp(Py_ssize_t a, Py_ssize_t b, Py_ssize_t c) { return a < b ? b : (a >= c ? c : a); } PyObject *CPyBytes_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end) { if ((PyBytes_Check(obj) || PyByteArray_Check(obj)) && CPyTagged_CheckShort(start) && CPyTagged_CheckShort(end)) { Py_ssize_t startn = CPyTagged_ShortAsSsize_t(start); Py_ssize_t endn = CPyTagged_ShortAsSsize_t(end); Py_ssize_t len = ((PyVarObject *)obj)->ob_size; if (startn < 0) { startn += len; } if (endn < 0) { endn += len; } startn = Clamp(startn, 0, len); endn = Clamp(endn, 0, len); Py_ssize_t slice_len = endn - startn; if (PyBytes_Check(obj)) { return PyBytes_FromStringAndSize(PyBytes_AS_STRING(obj) + startn, slice_len); } else { return PyByteArray_FromStringAndSize(PyByteArray_AS_STRING(obj) + startn, slice_len); } } return CPyObject_GetSlice(obj, start, end); } // Like _PyBytes_Join but fallback to dynamic call if 'sep' is not bytes // (mostly commonly, for bytearrays) PyObject *CPyBytes_Join(PyObject *sep, PyObject *iter) { if (PyBytes_CheckExact(sep)) { return PyBytes_Join(sep, iter); } else { _Py_IDENTIFIER(join); PyObject *name = _PyUnicode_FromId(&PyId_join); /* borrowed */ if (name == NULL) { return NULL; } return PyObject_CallMethodOneArg(sep, name, iter); } } PyObject *CPyBytes_Build(Py_ssize_t len, ...) { Py_ssize_t i; Py_ssize_t sz = 0; va_list args; va_start(args, len); for (i = 0; i < len; i++) { PyObject *item = va_arg(args, PyObject *); size_t add_sz = ((PyVarObject *)item)->ob_size; // Using size_t to avoid overflow during arithmetic calculation if (add_sz > (size_t)(PY_SSIZE_T_MAX - sz)) { PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python bytes"); return NULL; } sz += add_sz; } va_end(args); PyBytesObject *ret = (PyBytesObject *)PyBytes_FromStringAndSize(NULL, sz); if (ret != NULL) { char *res_data = ret->ob_sval; va_start(args, len); for (i = 0; i < len; i++) { PyObject *item = va_arg(args, PyObject *); Py_ssize_t item_sz = ((PyVarObject *)item)->ob_size; memcpy(res_data, ((PyBytesObject *)item)->ob_sval, item_sz); res_data += item_sz; } va_end(args); assert(res_data == ret->ob_sval + ((PyVarObject *)ret)->ob_size); } return (PyObject *)ret; } CPyTagged CPyBytes_Ord(PyObject *obj) { if (PyBytes_Check(obj)) { Py_ssize_t s = PyBytes_GET_SIZE(obj); if (s == 1) { return (unsigned char)(PyBytes_AS_STRING(obj)[0]) << 1; } } else if (PyByteArray_Check(obj)) { Py_ssize_t s = PyByteArray_GET_SIZE(obj); if (s == 1) { return (unsigned char)(PyByteArray_AS_STRING(obj)[0]) << 1; } } PyErr_SetString(PyExc_TypeError, "ord() expects a character"); return CPY_INT_TAG; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/dict_ops.c0000644000175100017510000003304315112307767016564 0ustar00runnerrunner// Dict primitive operations // // These are registered in mypyc.primitives.dict_ops. #include #include "CPy.h" #ifndef Py_TPFLAGS_MAPPING #define Py_TPFLAGS_MAPPING (1 << 6) #endif // Dict subclasses like defaultdict override things in interesting // ways, so we don't want to just directly use the dict methods. Not // sure if it is actually worth doing all this stuff, but it saves // some indirections. PyObject *CPyDict_GetItem(PyObject *dict, PyObject *key) { if (PyDict_CheckExact(dict)) { PyObject *res = PyDict_GetItemWithError(dict, key); if (!res) { if (!PyErr_Occurred()) { PyErr_SetObject(PyExc_KeyError, key); } } else { Py_INCREF(res); } return res; } else { return PyObject_GetItem(dict, key); } } PyObject *CPyDict_Build(Py_ssize_t size, ...) { Py_ssize_t i; PyObject *res = _PyDict_NewPresized(size); if (res == NULL) { return NULL; } va_list args; va_start(args, size); for (i = 0; i < size; i++) { PyObject *key = va_arg(args, PyObject *); PyObject *value = va_arg(args, PyObject *); if (PyDict_SetItem(res, key, value)) { Py_DECREF(res); return NULL; } } va_end(args); return res; } PyObject *CPyDict_Get(PyObject *dict, PyObject *key, PyObject *fallback) { // We are dodgily assuming that get on a subclass doesn't have // different behavior. PyObject *res = PyDict_GetItemWithError(dict, key); if (!res) { if (PyErr_Occurred()) { return NULL; } res = fallback; } Py_INCREF(res); return res; } PyObject *CPyDict_GetWithNone(PyObject *dict, PyObject *key) { return CPyDict_Get(dict, key, Py_None); } PyObject *CPyDict_SetDefault(PyObject *dict, PyObject *key, PyObject *value) { if (PyDict_CheckExact(dict)) { PyObject* ret = PyDict_SetDefault(dict, key, value); Py_XINCREF(ret); return ret; } _Py_IDENTIFIER(setdefault); PyObject *name = _PyUnicode_FromId(&PyId_setdefault); /* borrowed */ if (name == NULL) { return NULL; } return PyObject_CallMethodObjArgs(dict, name, key, value, NULL); } PyObject *CPyDict_SetDefaultWithNone(PyObject *dict, PyObject *key) { return CPyDict_SetDefault(dict, key, Py_None); } PyObject *CPyDict_SetDefaultWithEmptyDatatype(PyObject *dict, PyObject *key, int data_type) { PyObject *res = CPyDict_GetItem(dict, key); if (!res) { // CPyDict_GetItem() would generates a PyExc_KeyError // when key is not found. PyErr_Clear(); PyObject *new_obj; if (data_type == 1) { new_obj = PyList_New(0); } else if (data_type == 2) { new_obj = PyDict_New(); } else if (data_type == 3) { new_obj = PySet_New(NULL); } else { return NULL; } if (CPyDict_SetItem(dict, key, new_obj) == -1) { return NULL; } else { return new_obj; } } else { return res; } } int CPyDict_SetItem(PyObject *dict, PyObject *key, PyObject *value) { if (PyDict_CheckExact(dict)) { return PyDict_SetItem(dict, key, value); } else { return PyObject_SetItem(dict, key, value); } } static inline int CPy_ObjectToStatus(PyObject *obj) { if (obj) { Py_DECREF(obj); return 0; } else { return -1; } } static int CPyDict_UpdateGeneral(PyObject *dict, PyObject *stuff) { _Py_IDENTIFIER(update); PyObject *name = _PyUnicode_FromId(&PyId_update); /* borrowed */ if (name == NULL) { return -1; } PyObject *res = PyObject_CallMethodOneArg(dict, name, stuff); return CPy_ObjectToStatus(res); } int CPyDict_UpdateInDisplay(PyObject *dict, PyObject *stuff) { // from https://github.com/python/cpython/blob/55d035113dfb1bd90495c8571758f504ae8d4802/Python/ceval.c#L2710 int ret = PyDict_Update(dict, stuff); if (ret < 0) { if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Format(PyExc_TypeError, "'%.200s' object is not a mapping", Py_TYPE(stuff)->tp_name); } } return ret; } int CPyDict_Update(PyObject *dict, PyObject *stuff) { if (PyDict_CheckExact(dict)) { return PyDict_Update(dict, stuff); } else { return CPyDict_UpdateGeneral(dict, stuff); } } int CPyDict_UpdateFromAny(PyObject *dict, PyObject *stuff) { if (PyDict_CheckExact(dict)) { // Argh this sucks _Py_IDENTIFIER(keys); if (PyDict_Check(stuff) || _CPyObject_HasAttrId(stuff, &PyId_keys)) { return PyDict_Update(dict, stuff); } else { return PyDict_MergeFromSeq2(dict, stuff, 1); } } else { return CPyDict_UpdateGeneral(dict, stuff); } } PyObject *CPyDict_FromAny(PyObject *obj) { if (PyDict_Check(obj)) { return PyDict_Copy(obj); } else { int res; PyObject *dict = PyDict_New(); if (!dict) { return NULL; } _Py_IDENTIFIER(keys); if (_CPyObject_HasAttrId(obj, &PyId_keys)) { res = PyDict_Update(dict, obj); } else { res = PyDict_MergeFromSeq2(dict, obj, 1); } if (res < 0) { Py_DECREF(dict); return NULL; } return dict; } } PyObject *CPyDict_KeysView(PyObject *dict) { if (PyDict_CheckExact(dict)){ return _CPyDictView_New(dict, &PyDictKeys_Type); } _Py_IDENTIFIER(keys); PyObject *name = _PyUnicode_FromId(&PyId_keys); /* borrowed */ if (name == NULL) { return NULL; } return PyObject_CallMethodNoArgs(dict, name); } PyObject *CPyDict_ValuesView(PyObject *dict) { if (PyDict_CheckExact(dict)){ return _CPyDictView_New(dict, &PyDictValues_Type); } _Py_IDENTIFIER(values); PyObject *name = _PyUnicode_FromId(&PyId_values); /* borrowed */ if (name == NULL) { return NULL; } return PyObject_CallMethodNoArgs(dict, name); } PyObject *CPyDict_ItemsView(PyObject *dict) { if (PyDict_CheckExact(dict)){ return _CPyDictView_New(dict, &PyDictItems_Type); } _Py_IDENTIFIER(items); PyObject *name = _PyUnicode_FromId(&PyId_items); /* borrowed */ if (name == NULL) { return NULL; } return PyObject_CallMethodNoArgs(dict, name); } PyObject *CPyDict_Keys(PyObject *dict) { if (PyDict_CheckExact(dict)) { return PyDict_Keys(dict); } // Inline generic fallback logic to also return a list. PyObject *list = PyList_New(0); _Py_IDENTIFIER(keys); PyObject *name = _PyUnicode_FromId(&PyId_keys); /* borrowed */ if (name == NULL) { return NULL; } PyObject *view = PyObject_CallMethodNoArgs(dict, name); if (view == NULL) { return NULL; } int res = PyList_Extend(list, view); Py_DECREF(view); if (res < 0) { return NULL; } return list; } PyObject *CPyDict_Values(PyObject *dict) { if (PyDict_CheckExact(dict)) { return PyDict_Values(dict); } // Inline generic fallback logic to also return a list. PyObject *list = PyList_New(0); _Py_IDENTIFIER(values); PyObject *name = _PyUnicode_FromId(&PyId_values); /* borrowed */ if (name == NULL) { return NULL; } PyObject *view = PyObject_CallMethodNoArgs(dict, name); if (view == NULL) { return NULL; } int res = PyList_Extend(list, view); Py_DECREF(view); if (res < 0) { return NULL; } return list; } PyObject *CPyDict_Items(PyObject *dict) { if (PyDict_CheckExact(dict)) { return PyDict_Items(dict); } // Inline generic fallback logic to also return a list. PyObject *list = PyList_New(0); _Py_IDENTIFIER(items); PyObject *name = _PyUnicode_FromId(&PyId_items); /* borrowed */ if (name == NULL) { return NULL; } PyObject *view = PyObject_CallMethodNoArgs(dict, name); if (view == NULL) { return NULL; } int res = PyList_Extend(list, view); Py_DECREF(view); if (res < 0) { return NULL; } return list; } char CPyDict_Clear(PyObject *dict) { if (PyDict_CheckExact(dict)) { PyDict_Clear(dict); } else { _Py_IDENTIFIER(clear); PyObject *name = _PyUnicode_FromId(&PyId_clear); /* borrowed */ if (name == NULL) { return 0; } PyObject *res = PyObject_CallMethodNoArgs(dict, name); if (res == NULL) { return 0; } } return 1; } PyObject *CPyDict_Copy(PyObject *dict) { if (PyDict_CheckExact(dict)) { return PyDict_Copy(dict); } _Py_IDENTIFIER(copy); PyObject *name = _PyUnicode_FromId(&PyId_copy); /* borrowed */ if (name == NULL) { return NULL; } return PyObject_CallMethodNoArgs(dict, name); } PyObject *CPyDict_GetKeysIter(PyObject *dict) { if (PyDict_CheckExact(dict)) { // Return dict itself to indicate we can use fast path instead. Py_INCREF(dict); return dict; } return PyObject_GetIter(dict); } PyObject *CPyDict_GetItemsIter(PyObject *dict) { if (PyDict_CheckExact(dict)) { // Return dict itself to indicate we can use fast path instead. Py_INCREF(dict); return dict; } _Py_IDENTIFIER(items); PyObject *name = _PyUnicode_FromId(&PyId_items); /* borrowed */ if (name == NULL) { return NULL; } PyObject *view = PyObject_CallMethodNoArgs(dict, name); if (view == NULL) { return NULL; } PyObject *iter = PyObject_GetIter(view); Py_DECREF(view); return iter; } PyObject *CPyDict_GetValuesIter(PyObject *dict) { if (PyDict_CheckExact(dict)) { // Return dict itself to indicate we can use fast path instead. Py_INCREF(dict); return dict; } _Py_IDENTIFIER(values); PyObject *name = _PyUnicode_FromId(&PyId_values); /* borrowed */ if (name == NULL) { return NULL; } PyObject *view = PyObject_CallMethodNoArgs(dict, name); if (view == NULL) { return NULL; } PyObject *iter = PyObject_GetIter(view); Py_DECREF(view); return iter; } static void _CPyDict_FromNext(tuple_T3CIO *ret, PyObject *dict_iter) { // Get next item from iterator and set "should continue" flag. ret->f2 = PyIter_Next(dict_iter); if (ret->f2 == NULL) { ret->f0 = 0; Py_INCREF(Py_None); ret->f2 = Py_None; } else { ret->f0 = 1; } } // Helpers for fast dictionary iteration, return a single tuple // instead of writing to multiple registers, for exact dicts use // the fast path, and fall back to generic iterator logic for subclasses. tuple_T3CIO CPyDict_NextKey(PyObject *dict_or_iter, CPyTagged offset) { tuple_T3CIO ret; Py_ssize_t py_offset = CPyTagged_AsSsize_t(offset); PyObject *dummy; if (PyDict_CheckExact(dict_or_iter)) { ret.f0 = PyDict_Next(dict_or_iter, &py_offset, &ret.f2, &dummy); if (ret.f0) { ret.f1 = CPyTagged_FromSsize_t(py_offset); } else { // Set key to None, so mypyc can manage refcounts. ret.f1 = 0; ret.f2 = Py_None; } // PyDict_Next() returns borrowed references. Py_INCREF(ret.f2); } else { // offset is dummy in this case, just use the old value. ret.f1 = offset; _CPyDict_FromNext(&ret, dict_or_iter); } return ret; } tuple_T3CIO CPyDict_NextValue(PyObject *dict_or_iter, CPyTagged offset) { tuple_T3CIO ret; Py_ssize_t py_offset = CPyTagged_AsSsize_t(offset); PyObject *dummy; if (PyDict_CheckExact(dict_or_iter)) { ret.f0 = PyDict_Next(dict_or_iter, &py_offset, &dummy, &ret.f2); if (ret.f0) { ret.f1 = CPyTagged_FromSsize_t(py_offset); } else { // Set value to None, so mypyc can manage refcounts. ret.f1 = 0; ret.f2 = Py_None; } // PyDict_Next() returns borrowed references. Py_INCREF(ret.f2); } else { // offset is dummy in this case, just use the old value. ret.f1 = offset; _CPyDict_FromNext(&ret, dict_or_iter); } return ret; } tuple_T4CIOO CPyDict_NextItem(PyObject *dict_or_iter, CPyTagged offset) { tuple_T4CIOO ret; Py_ssize_t py_offset = CPyTagged_AsSsize_t(offset); if (PyDict_CheckExact(dict_or_iter)) { ret.f0 = PyDict_Next(dict_or_iter, &py_offset, &ret.f2, &ret.f3); if (ret.f0) { ret.f1 = CPyTagged_FromSsize_t(py_offset); } else { // Set key and value to None, so mypyc can manage refcounts. ret.f1 = 0; ret.f2 = Py_None; ret.f3 = Py_None; } } else { ret.f1 = offset; PyObject *item = PyIter_Next(dict_or_iter); if (item == NULL || !PyTuple_Check(item) || PyTuple_GET_SIZE(item) != 2) { if (item != NULL) { PyErr_SetString(PyExc_TypeError, "a tuple of length 2 expected"); } ret.f0 = 0; ret.f2 = Py_None; ret.f3 = Py_None; } else { ret.f0 = 1; ret.f2 = PyTuple_GET_ITEM(item, 0); ret.f3 = PyTuple_GET_ITEM(item, 1); Py_DECREF(item); } } // PyDict_Next() returns borrowed references. Py_INCREF(ret.f2); Py_INCREF(ret.f3); return ret; } int CPyMapping_Check(PyObject *obj) { return Py_TYPE(obj)->tp_flags & Py_TPFLAGS_MAPPING; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/exc_ops.c0000644000175100017510000002017315112307767016420 0ustar00runnerrunner#include "pythoncapi_compat.h" // Exception related primitive operations // // These are registered in mypyc.primitives.exc_ops. #include #include "CPy.h" void CPy_Raise(PyObject *exc) { if (PyObject_IsInstance(exc, (PyObject *)&PyType_Type)) { PyObject *obj = PyObject_CallNoArgs(exc); if (!obj) return; PyErr_SetObject(exc, obj); Py_DECREF(obj); } else { PyErr_SetObject((PyObject *)Py_TYPE(exc), exc); } } void CPy_Reraise(void) { PyObject *p_type, *p_value, *p_traceback; PyErr_GetExcInfo(&p_type, &p_value, &p_traceback); PyErr_Restore(p_type, p_value, p_traceback); } void CPyErr_SetObjectAndTraceback(PyObject *type, PyObject *value, PyObject *traceback) { if (!PyType_Check(type) && Py_IsNone(value)) { // The first argument must be an exception instance value = type; type = (PyObject *)Py_TYPE(value); } // Set the value and traceback of an error. Because calling // PyErr_Restore takes away a reference to each object passed in // as an argument, we manually increase the reference count of // each argument before calling it. Py_INCREF(type); Py_INCREF(value); Py_INCREF(traceback); PyErr_Restore(type, value, traceback); } tuple_T3OOO CPy_CatchError(void) { // We need to return the existing sys.exc_info() information, so // that it can be restored when we finish handling the error we // are catching now. Grab that triple and convert NULL values to // the ExcDummy object in order to simplify refcount handling in // generated code. tuple_T3OOO ret; PyErr_GetExcInfo(&ret.f0, &ret.f1, &ret.f2); _CPy_ToDummy(&ret.f0); _CPy_ToDummy(&ret.f1); _CPy_ToDummy(&ret.f2); if (!PyErr_Occurred()) { PyErr_SetString(PyExc_RuntimeError, "CPy_CatchError called with no error!"); } // Retrieve the error info and normalize it so that it looks like // what python code needs it to be. PyObject *type, *value, *traceback; PyErr_Fetch(&type, &value, &traceback); // Could we avoid always normalizing? PyErr_NormalizeException(&type, &value, &traceback); if (traceback != NULL) { PyException_SetTraceback(value, traceback); } // Indicate that we are now handling this exception by stashing it // in sys.exc_info(). mypyc routines that need access to the // exception will read it out of there. PyErr_SetExcInfo(type, value, traceback); // Clear the error indicator, since the exception isn't // propagating anymore. PyErr_Clear(); return ret; } void CPy_RestoreExcInfo(tuple_T3OOO info) { PyErr_SetExcInfo(_CPy_FromDummy(info.f0), _CPy_FromDummy(info.f1), _CPy_FromDummy(info.f2)); } bool CPy_ExceptionMatches(PyObject *type) { return PyErr_GivenExceptionMatches((PyObject *)Py_TYPE(CPy_ExcState()->exc_value), type); } PyObject *CPy_GetExcValue(void) { PyObject *exc = CPy_ExcState()->exc_value; Py_INCREF(exc); return exc; } static inline void _CPy_ToNone(PyObject **p) { if (*p == NULL) { Py_INCREF(Py_None); *p = Py_None; } } void _CPy_GetExcInfo(PyObject **p_type, PyObject **p_value, PyObject **p_traceback) { PyErr_GetExcInfo(p_type, p_value, p_traceback); _CPy_ToNone(p_type); _CPy_ToNone(p_value); _CPy_ToNone(p_traceback); } tuple_T3OOO CPy_GetExcInfo(void) { tuple_T3OOO ret; _CPy_GetExcInfo(&ret.f0, &ret.f1, &ret.f2); return ret; } void CPyError_OutOfMemory(void) { fprintf(stderr, "fatal: out of memory\n"); fflush(stderr); abort(); } // Construct a nicely formatted type name based on __module__ and __name__. static PyObject *CPy_GetTypeName(PyObject *type) { PyObject *module = NULL, *name = NULL; PyObject *full = NULL; module = PyObject_GetAttrString(type, "__module__"); if (!module || !PyUnicode_Check(module)) { goto out; } name = PyObject_GetAttrString(type, "__qualname__"); if (!name || !PyUnicode_Check(name)) { goto out; } if (PyUnicode_CompareWithASCIIString(module, "builtins") == 0) { Py_INCREF(name); full = name; } else { full = PyUnicode_FromFormat("%U.%U", module, name); } out: Py_XDECREF(module); Py_XDECREF(name); return full; } // Get the type of a value as a string, expanding tuples to include // all the element types. static PyObject *CPy_FormatTypeName(PyObject *value) { if (Py_IsNone(value)) { return PyUnicode_FromString("None"); } if (!PyTuple_CheckExact(value)) { return CPy_GetTypeName((PyObject *)Py_TYPE(value)); } if (PyTuple_GET_SIZE(value) > 10) { return PyUnicode_FromFormat("tuple[<%d items>]", PyTuple_GET_SIZE(value)); } // Most of the logic is all for tuples, which is the only interesting case PyObject *output = PyUnicode_FromString("tuple["); if (!output) { return NULL; } /* This is quadratic but if that ever matters something is really weird. */ int i; for (i = 0; i < PyTuple_GET_SIZE(value); i++) { PyObject *s = CPy_FormatTypeName(PyTuple_GET_ITEM(value, i)); if (!s) { Py_DECREF(output); return NULL; } PyObject *next = PyUnicode_FromFormat("%U%U%s", output, s, i + 1 == PyTuple_GET_SIZE(value) ? "]" : ", "); Py_DECREF(output); Py_DECREF(s); if (!next) { return NULL; } output = next; } return output; } CPy_NOINLINE void CPy_TypeError(const char *expected, PyObject *value) { PyObject *out = CPy_FormatTypeName(value); if (out) { PyErr_Format(PyExc_TypeError, "%s object expected; got %U", expected, out); Py_DECREF(out); } else { PyErr_Format(PyExc_TypeError, "%s object expected; and errored formatting real type!", expected); } } // The PyFrameObject type definition (struct _frame) has been moved // to the internal C API: to the pycore_frame.h header file. // https://github.com/python/cpython/pull/31530 #if PY_VERSION_HEX >= 0x030b00a6 #include "internal/pycore_frame.h" #endif // This function is basically exactly the same with _PyTraceback_Add // which is available in all the versions we support. // We're continuing to use this because we'll probably optimize this later. void CPy_AddTraceback(const char *filename, const char *funcname, int line, PyObject *globals) { PyObject *exc, *val, *tb; PyThreadState *thread_state = PyThreadState_GET(); PyFrameObject *frame_obj; // We need to save off the exception state because in 3.8, // PyFrame_New fails if there is an error set and it fails to look // up builtins in the globals. (_PyTraceback_Add documents that it // needs to do it because it decodes the filename according to the // FS encoding, which could have a decoder in Python. We don't do // that so *that* doesn't apply to us.) PyErr_Fetch(&exc, &val, &tb); PyCodeObject *code_obj = PyCode_NewEmpty(filename, funcname, line); if (code_obj == NULL) { goto error; } frame_obj = PyFrame_New(thread_state, code_obj, globals, 0); if (frame_obj == NULL) { Py_DECREF(code_obj); goto error; } frame_obj->f_lineno = line; PyErr_Restore(exc, val, tb); PyTraceBack_Here(frame_obj); Py_DECREF(code_obj); Py_DECREF(frame_obj); return; error: #if CPY_3_12_FEATURES _PyErr_ChainExceptions1(exc); #else _PyErr_ChainExceptions(exc, val, tb); #endif } CPy_NOINLINE void CPy_TypeErrorTraceback(const char *filename, const char *funcname, int line, PyObject *globals, const char *expected, PyObject *value) { CPy_TypeError(expected, value); CPy_AddTraceback(filename, funcname, line, globals); } void CPy_AttributeError(const char *filename, const char *funcname, const char *classname, const char *attrname, int line, PyObject *globals) { char buf[500]; snprintf(buf, sizeof(buf), "attribute '%.200s' of '%.200s' undefined", attrname, classname); PyErr_SetString(PyExc_AttributeError, buf); CPy_AddTraceback(filename, funcname, line, globals); } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/float_ops.c0000644000175100017510000001426615112307767016754 0ustar00runnerrunner// Float primitive operations // // These are registered in mypyc.primitives.float_ops. #include #include "CPy.h" static double CPy_DomainError(void) { PyErr_SetString(PyExc_ValueError, "math domain error"); return CPY_FLOAT_ERROR; } static double CPy_MathRangeError(void) { PyErr_SetString(PyExc_OverflowError, "math range error"); return CPY_FLOAT_ERROR; } static double CPy_MathExpectedNonNegativeInputError(double x) { char *buf = PyOS_double_to_string(x, 'r', 0, Py_DTSF_ADD_DOT_0, NULL); if (buf) { PyErr_Format(PyExc_ValueError, "expected a nonnegative input, got %s", buf); PyMem_Free(buf); } return CPY_FLOAT_ERROR; } static double CPy_MathExpectedPositiveInputError(double x) { char *buf = PyOS_double_to_string(x, 'r', 0, Py_DTSF_ADD_DOT_0, NULL); if (buf) { PyErr_Format(PyExc_ValueError, "expected a positive input, got %s", buf); PyMem_Free(buf); } return CPY_FLOAT_ERROR; } static double CPy_MathExpectedFiniteInput(double x) { char *buf = PyOS_double_to_string(x, 'r', 0, Py_DTSF_ADD_DOT_0, NULL); if (buf) { PyErr_Format(PyExc_ValueError, "expected a finite input, got %s", buf); PyMem_Free(buf); } return CPY_FLOAT_ERROR; } double CPyFloat_FromTagged(CPyTagged x) { if (CPyTagged_CheckShort(x)) { return CPyTagged_ShortAsSsize_t(x); } double result = PyFloat_AsDouble(CPyTagged_LongAsObject(x)); if (unlikely(result == -1.0) && PyErr_Occurred()) { return CPY_FLOAT_ERROR; } return result; } double CPyFloat_Sin(double x) { double v = sin(x); if (unlikely(isnan(v)) && !isnan(x)) { #if CPY_3_14_FEATURES return CPy_MathExpectedFiniteInput(x); #else return CPy_DomainError(); #endif } return v; } double CPyFloat_Cos(double x) { double v = cos(x); if (unlikely(isnan(v)) && !isnan(x)) { #if CPY_3_14_FEATURES return CPy_MathExpectedFiniteInput(x); #else return CPy_DomainError(); #endif } return v; } double CPyFloat_Tan(double x) { if (unlikely(isinf(x))) { #if CPY_3_14_FEATURES return CPy_MathExpectedFiniteInput(x); #else return CPy_DomainError(); #endif } return tan(x); } double CPyFloat_Sqrt(double x) { if (x < 0.0) { #if CPY_3_14_FEATURES return CPy_MathExpectedNonNegativeInputError(x); #else return CPy_DomainError(); #endif } return sqrt(x); } double CPyFloat_Exp(double x) { double v = exp(x); if (unlikely(v == INFINITY) && x != INFINITY) { return CPy_MathRangeError(); } return v; } double CPyFloat_Log(double x) { if (x <= 0.0) { #if CPY_3_14_FEATURES return CPy_MathExpectedPositiveInputError(x); #else return CPy_DomainError(); #endif } return log(x); } CPyTagged CPyFloat_Floor(double x) { double v = floor(x); return CPyTagged_FromFloat(v); } CPyTagged CPyFloat_Ceil(double x) { double v = ceil(x); return CPyTagged_FromFloat(v); } bool CPyFloat_IsInf(double x) { return isinf(x) != 0; } bool CPyFloat_IsNaN(double x) { return isnan(x) != 0; } // From CPython 3.10.0, Objects/floatobject.c static void _float_div_mod(double vx, double wx, double *floordiv, double *mod) { double div; *mod = fmod(vx, wx); /* fmod is typically exact, so vx-mod is *mathematically* an exact multiple of wx. But this is fp arithmetic, and fp vx - mod is an approximation; the result is that div may not be an exact integral value after the division, although it will always be very close to one. */ div = (vx - *mod) / wx; if (*mod) { /* ensure the remainder has the same sign as the denominator */ if ((wx < 0) != (*mod < 0)) { *mod += wx; div -= 1.0; } } else { /* the remainder is zero, and in the presence of signed zeroes fmod returns different results across platforms; ensure it has the same sign as the denominator. */ *mod = copysign(0.0, wx); } /* snap quotient to nearest integral value */ if (div) { *floordiv = floor(div); if (div - *floordiv > 0.5) { *floordiv += 1.0; } } else { /* div is zero - get the same sign as the true quotient */ *floordiv = copysign(0.0, vx / wx); /* zero w/ sign of vx/wx */ } } double CPyFloat_FloorDivide(double x, double y) { double mod, floordiv; if (y == 0) { PyErr_SetString(PyExc_ZeroDivisionError, "float floor division by zero"); return CPY_FLOAT_ERROR; } _float_div_mod(x, y, &floordiv, &mod); return floordiv; } // Adapted from CPython 3.10.7 double CPyFloat_Pow(double x, double y) { if (!isfinite(x) || !isfinite(y)) { if (isnan(x)) return y == 0.0 ? 1.0 : x; /* NaN**0 = 1 */ else if (isnan(y)) return x == 1.0 ? 1.0 : y; /* 1**NaN = 1 */ else if (isinf(x)) { int odd_y = isfinite(y) && fmod(fabs(y), 2.0) == 1.0; if (y > 0.0) return odd_y ? x : fabs(x); else if (y == 0.0) return 1.0; else /* y < 0. */ return odd_y ? copysign(0.0, x) : 0.0; } else if (isinf(y)) { if (fabs(x) == 1.0) return 1.0; else if (y > 0.0 && fabs(x) > 1.0) return y; else if (y < 0.0 && fabs(x) < 1.0) { #if PY_VERSION_HEX < 0x030B0000 if (x == 0.0) { /* 0**-inf: divide-by-zero */ return CPy_DomainError(); } #endif return -y; /* result is +inf */ } else return 0.0; } } double r = pow(x, y); if (!isfinite(r)) { if (isnan(r)) { return CPy_DomainError(); } /* an infinite result here arises either from: (A) (+/-0.)**negative (-> divide-by-zero) (B) overflow of x**y with x and y finite */ else if (isinf(r)) { if (x == 0.0) return CPy_DomainError(); else return CPy_MathRangeError(); } } return r; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/generic_ops.c0000644000175100017510000000456315112307767017262 0ustar00runnerrunner// Generic primitive operations // // These are registered in mypyc.primitives.generic_ops. #include #include "CPy.h" CPyTagged CPyObject_Hash(PyObject *o) { Py_hash_t h = PyObject_Hash(o); if (h == -1) { return CPY_INT_TAG; } else { // This is tragically annoying. The range of hash values in // 64-bit python covers 64-bits, and our short integers only // cover 63. This means that half the time we are boxing the // result for basically no good reason. To add insult to // injury it is probably about to be immediately unboxed by a // tp_hash wrapper. return CPyTagged_FromSsize_t(h); } } PyObject *CPyObject_GetAttr3(PyObject *v, PyObject *name, PyObject *defl) { PyObject *result = PyObject_GetAttr(v, name); if (!result && PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); Py_INCREF(defl); result = defl; } return result; } PyObject *CPyIter_Next(PyObject *iter) { return (*Py_TYPE(iter)->tp_iternext)(iter); } PyObject *CPyNumber_Power(PyObject *base, PyObject *index) { return PyNumber_Power(base, index, Py_None); } PyObject *CPyNumber_InPlacePower(PyObject *base, PyObject *index) { return PyNumber_InPlacePower(base, index, Py_None); } PyObject *CPyObject_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end) { PyObject *start_obj = CPyTagged_AsObject(start); PyObject *end_obj = CPyTagged_AsObject(end); if (unlikely(start_obj == NULL || end_obj == NULL)) { return NULL; } PyObject *slice = PySlice_New(start_obj, end_obj, NULL); Py_DECREF(start_obj); Py_DECREF(end_obj); if (unlikely(slice == NULL)) { return NULL; } PyObject *result = PyObject_GetItem(obj, slice); Py_DECREF(slice); return result; } typedef PyObject *(*SetupFunction)(PyObject *); PyObject *CPy_SetupObject(PyObject *type) { PyTypeObject *tp = (PyTypeObject *)type; PyMethodDef *def = NULL; for(; tp; tp = tp->tp_base) { def = tp->tp_methods; if (!def || !def->ml_name) { continue; } if (!strcmp(def->ml_name, "__internal_mypyc_setup")) { return ((SetupFunction)(void(*)(void))def->ml_meth)(type); } } PyErr_SetString(PyExc_RuntimeError, "Internal mypyc error: Unable to find object setup function"); return NULL; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/getargs.c0000644000175100017510000003664315112307767016425 0ustar00runnerrunner/* getargs implementation copied from Python 3.8 and stripped down to only include * the functions we need. * We also add support for required kwonly args and accepting *args / **kwargs. * A good idea would be to also vendor in the Fast versions and get our stuff * working with *that*. * Another probably good idea is to strip out all the formatting stuff we don't need * and then add in custom stuff that we do need. * * DOCUMENTATION OF THE EXTENSIONS: * - Arguments given after a @ format specify are required keyword-only arguments. * The | and $ specifiers must both appear before @. * - If the first character of a format string is %, then the function can support * *args and **kwargs. On seeing a %, the parser will consume two arguments, * which should be pointers to variables to store the *args and **kwargs, respectively. * Either pointer can be NULL, in which case the function doesn't take that * variety of vararg. * Unlike most format specifiers, the caller takes ownership of these objects * and is responsible for decrefing them. * - All arguments must use the 'O' format. * - There's minimal error checking of format strings. They are generated * programmatically and can be assumed valid. */ // These macro definitions are copied from pyport.h in Python 3.9 and later // https://bugs.python.org/issue19569 #if defined(__clang__) #define _Py_COMP_DIAG_PUSH _Pragma("clang diagnostic push") #define _Py_COMP_DIAG_IGNORE_DEPR_DECLS \ _Pragma("clang diagnostic ignored \"-Wdeprecated-declarations\"") #define _Py_COMP_DIAG_POP _Pragma("clang diagnostic pop") #elif defined(__GNUC__) \ && ((__GNUC__ >= 5) || (__GNUC__ == 4) && (__GNUC_MINOR__ >= 6)) #define _Py_COMP_DIAG_PUSH _Pragma("GCC diagnostic push") #define _Py_COMP_DIAG_IGNORE_DEPR_DECLS \ _Pragma("GCC diagnostic ignored \"-Wdeprecated-declarations\"") #define _Py_COMP_DIAG_POP _Pragma("GCC diagnostic pop") #elif defined(_MSC_VER) #define _Py_COMP_DIAG_PUSH __pragma(warning(push)) #define _Py_COMP_DIAG_IGNORE_DEPR_DECLS __pragma(warning(disable: 4996)) #define _Py_COMP_DIAG_POP __pragma(warning(pop)) #else #define _Py_COMP_DIAG_PUSH #define _Py_COMP_DIAG_IGNORE_DEPR_DECLS #define _Py_COMP_DIAG_POP #endif #include "Python.h" #include "pythonsupport.h" #include #include #ifndef PyDict_GET_SIZE #define PyDict_GET_SIZE(d) PyDict_Size(d) #endif #ifdef __cplusplus extern "C" { #endif int CPyArg_ParseTupleAndKeywords(PyObject *, PyObject *, const char *, const char *, const char * const *, ...); /* Forward */ static int vgetargskeywords(PyObject *, PyObject *, const char *, const char *, const char * const *, va_list *); static void skipitem(const char **, va_list *); /* Support for keyword arguments donated by Geoff Philbrick */ /* Return false (0) for error, else true. */ int CPyArg_ParseTupleAndKeywords(PyObject *args, PyObject *keywords, const char *format, const char *fname, const char * const *kwlist, ...) { int retval; va_list va; va_start(va, kwlist); retval = vgetargskeywords(args, keywords, format, fname, kwlist, &va); va_end(va); return retval; } #define IS_END_OF_FORMAT(c) (c == '\0' || c == ';' || c == ':') static int vgetargskeywords(PyObject *args, PyObject *kwargs, const char *format, const char *fname, const char * const *kwlist, va_list *p_va) { int min = INT_MAX; int max = INT_MAX; int required_kwonly_start = INT_MAX; int has_required_kws = 0; int i, pos, len; int skip = 0; Py_ssize_t nargs, nkwargs; PyObject *current_arg; int bound_pos_args; PyObject **p_args = NULL, **p_kwargs = NULL; assert(args != NULL && PyTuple_Check(args)); assert(kwargs == NULL || PyDict_Check(kwargs)); assert(format != NULL); assert(kwlist != NULL); assert(p_va != NULL); /* scan kwlist and count the number of positional-only parameters */ for (pos = 0; kwlist[pos] && !*kwlist[pos]; pos++) { } /* scan kwlist and get greatest possible nbr of args */ for (len = pos; kwlist[len]; len++) { #ifdef DEBUG if (!*kwlist[len]) { PyErr_SetString(PyExc_SystemError, "Empty keyword parameter name"); return 0; } #endif } if (*format == '%') { p_args = va_arg(*p_va, PyObject **); p_kwargs = va_arg(*p_va, PyObject **); format++; } nargs = PyTuple_GET_SIZE(args); nkwargs = (kwargs == NULL) ? 0 : PyDict_GET_SIZE(kwargs); if (unlikely(nargs + nkwargs > len && !p_args && !p_kwargs)) { /* Adding "keyword" (when nargs == 0) prevents producing wrong error messages in some special cases (see bpo-31229). */ PyErr_Format(PyExc_TypeError, "%.200s%s takes at most %d %sargument%s (%zd given)", (fname == NULL) ? "function" : fname, (fname == NULL) ? "" : "()", len, (nargs == 0) ? "keyword " : "", (len == 1) ? "" : "s", nargs + nkwargs); return 0; } /* convert tuple args and keyword args in same loop, using kwlist to drive process */ for (i = 0; i < len; i++) { if (*format == '|') { #ifdef DEBUG if (min != INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string (| specified twice)"); return 0; } #endif min = i; format++; #ifdef DEBUG if (max != INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string ($ before |)"); return 0; } #endif /* If there are optional args, figure out whether we have * required keyword arguments so that we don't bail without * enforcing them. */ has_required_kws = strchr(format, '@') != NULL; } if (*format == '$') { #ifdef DEBUG if (max != INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string ($ specified twice)"); return 0; } #endif max = i; format++; #ifdef DEBUG if (max < pos) { PyErr_SetString(PyExc_SystemError, "Empty parameter name after $"); return 0; } #endif if (skip) { /* Now we know the minimal and the maximal numbers of * positional arguments and can raise an exception with * informative message (see below). */ break; } if (unlikely(max < nargs && !p_args)) { if (max == 0) { PyErr_Format(PyExc_TypeError, "%.200s%s takes no positional arguments", (fname == NULL) ? "function" : fname, (fname == NULL) ? "" : "()"); } else { PyErr_Format(PyExc_TypeError, "%.200s%s takes %s %d positional argument%s" " (%zd given)", (fname == NULL) ? "function" : fname, (fname == NULL) ? "" : "()", (min < max) ? "at most" : "exactly", max, max == 1 ? "" : "s", nargs); } return 0; } } if (*format == '@') { #ifdef DEBUG if (min == INT_MAX && max == INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string " "(@ without preceding | and $)"); return 0; } if (required_kwonly_start != INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string (@ specified twice)"); return 0; } #endif required_kwonly_start = i; format++; } #ifdef DEBUG if (IS_END_OF_FORMAT(*format)) { PyErr_Format(PyExc_SystemError, "More keyword list entries (%d) than " "format specifiers (%d)", len, i); return 0; } #endif if (!skip) { if (i < nargs && i < max) { current_arg = Py_NewRef(PyTuple_GET_ITEM(args, i)); } else if (nkwargs && i >= pos) { if (unlikely(PyDict_GetItemStringRef(kwargs, kwlist[i], ¤t_arg) < 0)) { return 0; } if (current_arg) { --nkwargs; } } else { current_arg = NULL; } if (current_arg) { PyObject **p = va_arg(*p_va, PyObject **); *p = current_arg; Py_DECREF(current_arg); format++; continue; } if (i < min || i >= required_kwonly_start) { if (likely(i < pos)) { assert (min == INT_MAX); assert (max == INT_MAX); skip = 1; /* At that moment we still don't know the minimal and * the maximal numbers of positional arguments. Raising * an exception is deferred until we encounter | and $ * or the end of the format. */ } else { if (i >= max) { PyErr_Format(PyExc_TypeError, "%.200s%s missing required " "keyword-only argument '%s'", (fname == NULL) ? "function" : fname, (fname == NULL) ? "" : "()", kwlist[i]); } else { PyErr_Format(PyExc_TypeError, "%.200s%s missing required " "argument '%s' (pos %d)", (fname == NULL) ? "function" : fname, (fname == NULL) ? "" : "()", kwlist[i], i+1); } return 0; } } /* current code reports success when all required args * fulfilled and no keyword args left, with no further * validation. XXX Maybe skip this in debug build ? */ if (!nkwargs && !skip && !has_required_kws && !p_args && !p_kwargs) { return 1; } } /* We are into optional args, skip through to any remaining * keyword args */ skipitem(&format, p_va); } if (unlikely(skip)) { PyErr_Format(PyExc_TypeError, "%.200s%s takes %s %d positional argument%s" " (%zd given)", (fname == NULL) ? "function" : fname, (fname == NULL) ? "" : "()", (Py_MIN(pos, min) < i) ? "at least" : "exactly", Py_MIN(pos, min), Py_MIN(pos, min) == 1 ? "" : "s", nargs); return 0; } #ifdef DEBUG if (!IS_END_OF_FORMAT(*format) && (*format != '|') && (*format != '$') && (*format != '@')) { PyErr_Format(PyExc_SystemError, "more argument specifiers than keyword list entries " "(remaining format:'%s')", format); return 0; } #endif bound_pos_args = Py_MIN(nargs, Py_MIN(max, len)); if (p_args) { *p_args = PyTuple_GetSlice(args, bound_pos_args, nargs); if (!*p_args) { return 0; } } if (p_kwargs) { /* This unfortunately needs to be special cased because if len is 0 then we * never go through the main loop. */ if (unlikely(nargs > 0 && len == 0 && !p_args)) { PyErr_Format(PyExc_TypeError, "%.200s%s takes no positional arguments", (fname == NULL) ? "function" : fname, (fname == NULL) ? "" : "()"); return 0; } *p_kwargs = PyDict_New(); if (!*p_kwargs) { goto latefail; } } if (nkwargs > 0) { PyObject *key, *value; Py_ssize_t j; /* make sure there are no arguments given by name and position */ for (i = pos; i < bound_pos_args && i < len; i++) { PyObject *current_arg; if (unlikely(PyDict_GetItemStringRef(kwargs, kwlist[i], ¤t_arg) < 0)) { goto latefail; } if (unlikely(current_arg != NULL)) { Py_DECREF(current_arg); /* arg present in tuple and in dict */ PyErr_Format(PyExc_TypeError, "argument for %.200s%s given by name ('%s') " "and position (%d)", (fname == NULL) ? "function" : fname, (fname == NULL) ? "" : "()", kwlist[i], i+1); goto latefail; } } /* make sure there are no extraneous keyword arguments */ j = 0; while (PyDict_Next(kwargs, &j, &key, &value)) { int match = 0; if (unlikely(!PyUnicode_Check(key))) { PyErr_SetString(PyExc_TypeError, "keywords must be strings"); goto latefail; } for (i = pos; i < len; i++) { if (PyUnicode_EqualToUTF8(key, kwlist[i])) { match = 1; break; } } if (!match) { if (unlikely(!p_kwargs)) { PyErr_Format(PyExc_TypeError, "'%U' is an invalid keyword " "argument for %.200s%s", key, (fname == NULL) ? "this function" : fname, (fname == NULL) ? "" : "()"); goto latefail; } else { if (PyDict_SetItem(*p_kwargs, key, value) < 0) { goto latefail; } } } } } return 1; /* Handle failures that have happened after we have tried to * create *args and **kwargs, if they exist. */ latefail: if (p_args) { Py_XDECREF(*p_args); } if (p_kwargs) { Py_XDECREF(*p_kwargs); } return 0; } static void skipitem(const char **p_format, va_list *p_va) { const char *format = *p_format; char c = *format++; if (p_va != NULL) { (void) va_arg(*p_va, PyObject **); } *p_format = format; } #ifdef __cplusplus }; #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/getargsfast.c0000644000175100017510000004457615112307767017307 0ustar00runnerrunner/* getargskeywordsfast implementation copied from Python 3.9 and stripped down to * only include the functionality we need. * * We also add support for required kwonly args and accepting *args / **kwargs. * * DOCUMENTATION OF THE EXTENSIONS: * - Arguments given after a @ format specify required keyword-only arguments. * The | and $ specifiers must both appear before @. * - If the first character of a format string is %, then the function can support * *args and/or **kwargs. In this case the parser will consume two arguments, * which should be pointers to variables to store the *args and **kwargs, respectively. * Either pointer can be NULL, in which case the function doesn't take that * variety of vararg. * Unlike most format specifiers, the caller takes ownership of these objects * and is responsible for decrefing them. */ #include #include "CPy.h" #define PARSER_INITED(parser) ((parser)->kwtuple != NULL) /* Forward */ static int vgetargskeywordsfast_impl(PyObject *const *args, Py_ssize_t nargs, PyObject *kwargs, PyObject *kwnames, CPyArg_Parser *parser, va_list *p_va); static void skipitem_fast(const char **, va_list *); /* Parse args for an arbitrary signature */ int CPyArg_ParseStackAndKeywords(PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames, CPyArg_Parser *parser, ...) { int retval; va_list va; va_start(va, parser); retval = vgetargskeywordsfast_impl(args, nargs, NULL, kwnames, parser, &va); va_end(va); return retval; } /* Parse args for a function that takes no args */ int CPyArg_ParseStackAndKeywordsNoArgs(PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames, CPyArg_Parser *parser, ...) { int retval; va_list va; va_start(va, parser); if (nargs == 0 && kwnames == NULL) { // Fast path: no arguments retval = 1; } else { retval = vgetargskeywordsfast_impl(args, nargs, NULL, kwnames, parser, &va); } va_end(va); return retval; } /* Parse args for a function that takes one arg */ int CPyArg_ParseStackAndKeywordsOneArg(PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames, CPyArg_Parser *parser, ...) { int retval; va_list va; va_start(va, parser); if (kwnames == NULL && nargs == 1) { // Fast path: one positional argument PyObject **p; p = va_arg(va, PyObject **); *p = args[0]; retval = 1; } else { retval = vgetargskeywordsfast_impl(args, nargs, NULL, kwnames, parser, &va); } va_end(va); return retval; } /* Parse args for a function that takes no keyword-only args, *args or **kwargs */ int CPyArg_ParseStackAndKeywordsSimple(PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames, CPyArg_Parser *parser, ...) { int retval; va_list va; va_start(va, parser); if (kwnames == NULL && PARSER_INITED(parser) && nargs >= parser->min && nargs <= parser->max) { // Fast path: correct number of positional arguments only PyObject **p; Py_ssize_t i; for (i = 0; i < nargs; i++) { p = va_arg(va, PyObject **); *p = args[i]; } retval = 1; } else { retval = vgetargskeywordsfast_impl(args, nargs, NULL, kwnames, parser, &va); } va_end(va); return retval; } #define IS_END_OF_FORMAT(c) (c == '\0' || c == ';' || c == ':') /* List of static parsers. */ static struct CPyArg_Parser *static_arg_parsers = NULL; static int parser_init(CPyArg_Parser *parser) { const char * const *keywords; const char *format, *msg; int i, len, min, max, nkw; PyObject *kwtuple; assert(parser->keywords != NULL); if (PARSER_INITED(parser)) { return 1; } keywords = parser->keywords; /* scan keywords and count the number of positional-only parameters */ for (i = 0; keywords[i] && !*keywords[i]; i++) { } parser->pos = i; /* scan keywords and get greatest possible nbr of args */ for (; keywords[i]; i++) { if (!*keywords[i]) { PyErr_SetString(PyExc_SystemError, "Empty keyword parameter name"); return 0; } } len = i; parser->required_kwonly_start = INT_MAX; if (*parser->format == '%') { parser->format++; parser->varargs = 1; } format = parser->format; if (format) { /* grab the function name or custom error msg first (mutually exclusive) */ parser->fname = strchr(parser->format, ':'); if (parser->fname) { parser->fname++; parser->custom_msg = NULL; } else { parser->custom_msg = strchr(parser->format,';'); if (parser->custom_msg) parser->custom_msg++; } min = max = INT_MAX; for (i = 0; i < len; i++) { if (*format == '|') { if (min != INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string (| specified twice)"); return 0; } if (max != INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string ($ before |)"); return 0; } min = i; format++; } if (*format == '$') { if (max != INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string ($ specified twice)"); return 0; } if (i < parser->pos) { PyErr_SetString(PyExc_SystemError, "Empty parameter name after $"); return 0; } max = i; format++; } if (*format == '@') { if (parser->required_kwonly_start != INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string (@ specified twice)"); return 0; } if (min == INT_MAX && max == INT_MAX) { PyErr_SetString(PyExc_SystemError, "Invalid format string " "(@ without preceding | and $)"); return 0; } format++; parser->has_required_kws = 1; parser->required_kwonly_start = i; } if (IS_END_OF_FORMAT(*format)) { PyErr_Format(PyExc_SystemError, "More keyword list entries (%d) than " "format specifiers (%d)", len, i); return 0; } skipitem_fast(&format, NULL); } parser->min = Py_MIN(min, len); parser->max = Py_MIN(max, len); if (!IS_END_OF_FORMAT(*format) && (*format != '|') && (*format != '$')) { PyErr_Format(PyExc_SystemError, "more argument specifiers than keyword list entries " "(remaining format:'%s')", format); return 0; } } nkw = len - parser->pos; kwtuple = PyTuple_New(nkw); if (kwtuple == NULL) { return 0; } keywords = parser->keywords + parser->pos; for (i = 0; i < nkw; i++) { PyObject *str = PyUnicode_FromString(keywords[i]); if (str == NULL) { Py_DECREF(kwtuple); return 0; } PyUnicode_InternInPlace(&str); PyTuple_SET_ITEM(kwtuple, i, str); } parser->kwtuple = kwtuple; assert(parser->next == NULL); parser->next = static_arg_parsers; static_arg_parsers = parser; return 1; } static PyObject* find_keyword(PyObject *kwnames, PyObject *const *kwstack, PyObject *key) { Py_ssize_t i, nkwargs; nkwargs = PyTuple_GET_SIZE(kwnames); for (i = 0; i < nkwargs; i++) { PyObject *kwname = PyTuple_GET_ITEM(kwnames, i); /* kwname == key will normally find a match in since keyword keys should be interned strings; if not retry below in a new loop. */ if (kwname == key) { return kwstack[i]; } } for (i = 0; i < nkwargs; i++) { PyObject *kwname = PyTuple_GET_ITEM(kwnames, i); assert(PyUnicode_Check(kwname)); if (PyUnicode_Equal(kwname, key)) { return kwstack[i]; } } return NULL; } static int vgetargskeywordsfast_impl(PyObject *const *args, Py_ssize_t nargs, PyObject *kwargs, PyObject *kwnames, CPyArg_Parser *parser, va_list *p_va) { PyObject *kwtuple; const char *format; PyObject *keyword; int i, pos, len; Py_ssize_t nkwargs; PyObject *current_arg; PyObject *const *kwstack = NULL; int bound_pos_args; PyObject **p_args = NULL, **p_kwargs = NULL; assert(kwargs == NULL || PyDict_Check(kwargs)); assert(kwargs == NULL || kwnames == NULL); assert(p_va != NULL); if (!parser_init(parser)) { return 0; } kwtuple = parser->kwtuple; pos = parser->pos; len = pos + (int)PyTuple_GET_SIZE(kwtuple); if (parser->varargs) { p_args = va_arg(*p_va, PyObject **); p_kwargs = va_arg(*p_va, PyObject **); } if (kwargs != NULL) { nkwargs = PyDict_GET_SIZE(kwargs); } else if (kwnames != NULL) { nkwargs = PyTuple_GET_SIZE(kwnames); kwstack = args + nargs; } else { nkwargs = 0; } if (nargs + nkwargs > len && !p_args && !p_kwargs) { /* Adding "keyword" (when nargs == 0) prevents producing wrong error messages in some special cases (see bpo-31229). */ PyErr_Format(PyExc_TypeError, "%.200s%s takes at most %d %sargument%s (%zd given)", (parser->fname == NULL) ? "function" : parser->fname, (parser->fname == NULL) ? "" : "()", len, (nargs == 0) ? "keyword " : "", (len == 1) ? "" : "s", nargs + nkwargs); return 0; } if (parser->max < nargs && !p_args) { if (parser->max == 0) { PyErr_Format(PyExc_TypeError, "%.200s%s takes no positional arguments", (parser->fname == NULL) ? "function" : parser->fname, (parser->fname == NULL) ? "" : "()"); } else { PyErr_Format(PyExc_TypeError, "%.200s%s takes %s %d positional argument%s (%zd given)", (parser->fname == NULL) ? "function" : parser->fname, (parser->fname == NULL) ? "" : "()", (parser->min < parser->max) ? "at most" : "exactly", parser->max, parser->max == 1 ? "" : "s", nargs); } return 0; } format = parser->format; /* convert tuple args and keyword args in same loop, using kwtuple to drive process */ for (i = 0; i < len; i++) { if (*format == '|') { format++; } if (*format == '$') { format++; } if (*format == '@') { format++; } assert(!IS_END_OF_FORMAT(*format)); if (i < nargs && i < parser->max) { current_arg = args[i]; } else if (nkwargs && i >= pos) { keyword = PyTuple_GET_ITEM(kwtuple, i - pos); if (kwargs != NULL) { current_arg = PyDict_GetItemWithError(kwargs, keyword); if (!current_arg && PyErr_Occurred()) { return 0; } } else { current_arg = find_keyword(kwnames, kwstack, keyword); } if (current_arg) { --nkwargs; } } else { current_arg = NULL; } if (current_arg) { PyObject **p = va_arg(*p_va, PyObject **); *p = current_arg; format++; continue; } if (i < parser->min || i >= parser->required_kwonly_start) { /* Less arguments than required */ if (i < pos) { Py_ssize_t min = Py_MIN(pos, parser->min); PyErr_Format(PyExc_TypeError, "%.200s%s takes %s %d positional argument%s" " (%zd given)", (parser->fname == NULL) ? "function" : parser->fname, (parser->fname == NULL) ? "" : "()", min < parser->max ? "at least" : "exactly", min, min == 1 ? "" : "s", nargs); } else { keyword = PyTuple_GET_ITEM(kwtuple, i - pos); if (i >= parser->max) { PyErr_Format(PyExc_TypeError, "%.200s%s missing required " "keyword-only argument '%U'", (parser->fname == NULL) ? "function" : parser->fname, (parser->fname == NULL) ? "" : "()", keyword); } else { PyErr_Format(PyExc_TypeError, "%.200s%s missing required " "argument '%U' (pos %d)", (parser->fname == NULL) ? "function" : parser->fname, (parser->fname == NULL) ? "" : "()", keyword, i+1); } } return 0; } /* current code reports success when all required args * fulfilled and no keyword args left, with no further * validation. XXX Maybe skip this in debug build ? */ if (!nkwargs && !parser->has_required_kws && !p_args && !p_kwargs) { return 1; } /* We are into optional args, skip through to any remaining * keyword args */ skipitem_fast(&format, p_va); } assert(IS_END_OF_FORMAT(*format) || (*format == '|') || (*format == '$')); bound_pos_args = Py_MIN(nargs, Py_MIN(parser->max, len)); if (p_args) { *p_args = PyTuple_New(nargs - bound_pos_args); if (!*p_args) { return 0; } for (i = bound_pos_args; i < nargs; i++) { PyObject *arg = args[i]; Py_INCREF(arg); PyTuple_SET_ITEM(*p_args, i - bound_pos_args, arg); } } if (p_kwargs) { /* This unfortunately needs to be special cased because if len is 0 then we * never go through the main loop. */ if (nargs > 0 && len == 0 && !p_args) { PyErr_Format(PyExc_TypeError, "%.200s%s takes no positional arguments", (parser->fname == NULL) ? "function" : parser->fname, (parser->fname == NULL) ? "" : "()"); return 0; } *p_kwargs = PyDict_New(); if (!*p_kwargs) { goto latefail; } } if (nkwargs > 0) { Py_ssize_t j; PyObject *value; /* make sure there are no arguments given by name and position */ for (i = pos; i < bound_pos_args; i++) { keyword = PyTuple_GET_ITEM(kwtuple, i - pos); if (kwargs != NULL) { current_arg = PyDict_GetItemWithError(kwargs, keyword); if (!current_arg && PyErr_Occurred()) { goto latefail; } } else { current_arg = find_keyword(kwnames, kwstack, keyword); } if (current_arg) { /* arg present in tuple and in dict */ PyErr_Format(PyExc_TypeError, "argument for %.200s%s given by name ('%U') " "and position (%d)", (parser->fname == NULL) ? "function" : parser->fname, (parser->fname == NULL) ? "" : "()", keyword, i+1); goto latefail; } } /* make sure there are no extraneous keyword arguments */ j = 0; while (1) { int match; if (kwargs != NULL) { if (!PyDict_Next(kwargs, &j, &keyword, &value)) break; } else { if (j >= PyTuple_GET_SIZE(kwnames)) break; keyword = PyTuple_GET_ITEM(kwnames, j); value = kwstack[j]; j++; } match = PySequence_Contains(kwtuple, keyword); if (match <= 0) { if (!match) { if (!p_kwargs) { PyErr_Format(PyExc_TypeError, "'%S' is an invalid keyword " "argument for %.200s%s", keyword, (parser->fname == NULL) ? "this function" : parser->fname, (parser->fname == NULL) ? "" : "()"); goto latefail; } else { if (PyDict_SetItem(*p_kwargs, keyword, value) < 0) { goto latefail; } } } else { goto latefail; } } } } return 1; /* Handle failures that have happened after we have tried to * create *args and **kwargs, if they exist. */ latefail: if (p_args) { Py_XDECREF(*p_args); } if (p_kwargs) { Py_XDECREF(*p_kwargs); } return 0; } static void skipitem_fast(const char **p_format, va_list *p_va) { const char *format = *p_format; char c = *format++; if (p_va != NULL) { (void) va_arg(*p_va, PyObject **); } *p_format = format; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/init.c0000644000175100017510000000141615112307767015722 0ustar00runnerrunner#include #include "CPy.h" struct ExcDummyStruct _CPy_ExcDummyStruct = { PyObject_HEAD_INIT(NULL) }; PyObject *_CPy_ExcDummy = (PyObject *)&_CPy_ExcDummyStruct; // System-wide empty tuple constant PyObject * __mypyc_empty_tuple__ = NULL; // Because its dynamic linker is more restricted than linux/OS X, // Windows doesn't allow initializing globals with values from // other dynamic libraries. This means we need to initialize // things at load time. void CPy_Init(void) { _CPy_ExcDummyStruct.ob_base.ob_type = &PyBaseObject_Type; // Initialize system-wide empty tuple constant if (__mypyc_empty_tuple__ == NULL) { __mypyc_empty_tuple__ = PyTuple_New(0); if (!__mypyc_empty_tuple__) { CPyError_OutOfMemory(); } } } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/int_ops.c0000644000175100017510000004566715112307767016452 0ustar00runnerrunner// Int primitive operations (tagged arbitrary-precision integers) // // These are registered in mypyc.primitives.int_ops. #include #include "CPy.h" #ifdef _MSC_VER #include #endif #ifndef _WIN32 // On 64-bit Linux and macOS, ssize_t and long are both 64 bits, and // PyLong_FromLong is faster than PyLong_FromSsize_t, so use the faster one #define CPyLong_FromSsize_t PyLong_FromLong #else // On 64-bit Windows, ssize_t is 64 bits but long is 32 bits, so we // can't use the above trick #define CPyLong_FromSsize_t PyLong_FromSsize_t #endif #if defined(__GNUC__) || defined(__clang__) # if defined(__x86_64__) || defined(_M_X64) || defined(__aarch64__) || (defined(__SIZEOF_POINTER__) && __SIZEOF_POINTER__ == 8) # define CPY_CLZ(x) __builtin_clzll((unsigned long long)(x)) # define CPY_BITS 64 # else # define CPY_CLZ(x) __builtin_clz((unsigned int)(x)) # define CPY_BITS 32 # endif #endif CPyTagged CPyTagged_FromSsize_t(Py_ssize_t value) { // We use a Python object if the value shifted left by 1 is too // large for Py_ssize_t if (unlikely(CPyTagged_TooBig(value))) { PyObject *object = PyLong_FromSsize_t(value); return ((CPyTagged)object) | CPY_INT_TAG; } else { return value << 1; } } CPyTagged CPyTagged_FromVoidPtr(void *ptr) { if ((uintptr_t)ptr > PY_SSIZE_T_MAX) { PyObject *object = PyLong_FromVoidPtr(ptr); return ((CPyTagged)object) | CPY_INT_TAG; } else { return CPyTagged_FromSsize_t((Py_ssize_t)ptr); } } CPyTagged CPyTagged_FromInt64(int64_t value) { if (unlikely(CPyTagged_TooBigInt64(value))) { PyObject *object = PyLong_FromLongLong(value); return ((CPyTagged)object) | CPY_INT_TAG; } else { return value << 1; } } PyObject *CPyTagged_AsObject(CPyTagged x) { PyObject *value; if (unlikely(CPyTagged_CheckLong(x))) { value = CPyTagged_LongAsObject(x); Py_INCREF(value); } else { value = CPyLong_FromSsize_t(CPyTagged_ShortAsSsize_t(x)); if (value == NULL) { CPyError_OutOfMemory(); } } return value; } PyObject *CPyTagged_StealAsObject(CPyTagged x) { PyObject *value; if (unlikely(CPyTagged_CheckLong(x))) { value = CPyTagged_LongAsObject(x); } else { value = CPyLong_FromSsize_t(CPyTagged_ShortAsSsize_t(x)); if (value == NULL) { CPyError_OutOfMemory(); } } return value; } Py_ssize_t CPyTagged_AsSsize_t(CPyTagged x) { if (likely(CPyTagged_CheckShort(x))) { return CPyTagged_ShortAsSsize_t(x); } else { return PyLong_AsSsize_t(CPyTagged_LongAsObject(x)); } } CPy_NOINLINE void CPyTagged_IncRef(CPyTagged x) { if (unlikely(CPyTagged_CheckLong(x))) { Py_INCREF(CPyTagged_LongAsObject(x)); } } CPy_NOINLINE void CPyTagged_DecRef(CPyTagged x) { if (unlikely(CPyTagged_CheckLong(x))) { Py_DECREF(CPyTagged_LongAsObject(x)); } } CPy_NOINLINE void CPyTagged_XDecRef(CPyTagged x) { if (unlikely(CPyTagged_CheckLong(x))) { Py_XDECREF(CPyTagged_LongAsObject(x)); } } // Tagged int negation slow path, where the result may be a long integer CPyTagged CPyTagged_Negate_(CPyTagged num) { PyObject *num_obj = CPyTagged_AsObject(num); PyObject *result = PyNumber_Negative(num_obj); if (result == NULL) { CPyError_OutOfMemory(); } Py_DECREF(num_obj); return CPyTagged_StealFromObject(result); } // Tagged int addition slow path, where the result may be a long integer CPyTagged CPyTagged_Add_(CPyTagged left, CPyTagged right) { PyObject *left_obj = CPyTagged_AsObject(left); PyObject *right_obj = CPyTagged_AsObject(right); PyObject *result = PyNumber_Add(left_obj, right_obj); if (result == NULL) { CPyError_OutOfMemory(); } Py_DECREF(left_obj); Py_DECREF(right_obj); return CPyTagged_StealFromObject(result); } // Tagged int subtraction slow path, where the result may be a long integer CPyTagged CPyTagged_Subtract_(CPyTagged left, CPyTagged right) { PyObject *left_obj = CPyTagged_AsObject(left); PyObject *right_obj = CPyTagged_AsObject(right); PyObject *result = PyNumber_Subtract(left_obj, right_obj); if (result == NULL) { CPyError_OutOfMemory(); } Py_DECREF(left_obj); Py_DECREF(right_obj); return CPyTagged_StealFromObject(result); } // Tagged int multiplication slow path, where the result may be a long integer CPyTagged CPyTagged_Multiply_(CPyTagged left, CPyTagged right) { PyObject *left_obj = CPyTagged_AsObject(left); PyObject *right_obj = CPyTagged_AsObject(right); PyObject *result = PyNumber_Multiply(left_obj, right_obj); if (result == NULL) { CPyError_OutOfMemory(); } Py_DECREF(left_obj); Py_DECREF(right_obj); return CPyTagged_StealFromObject(result); } // Tagged int // slow path, where the result may be a long integer (or raise) CPyTagged CPyTagged_FloorDivide_(CPyTagged left, CPyTagged right) { PyObject *left_obj = CPyTagged_AsObject(left); PyObject *right_obj = CPyTagged_AsObject(right); PyObject *result = PyNumber_FloorDivide(left_obj, right_obj); Py_DECREF(left_obj); Py_DECREF(right_obj); // Handle exceptions honestly because it could be ZeroDivisionError if (result == NULL) { return CPY_INT_TAG; } else { return CPyTagged_StealFromObject(result); } } // Tagged int % slow path, where the result may be a long integer (or raise) CPyTagged CPyTagged_Remainder_(CPyTagged left, CPyTagged right) { PyObject *left_obj = CPyTagged_AsObject(left); PyObject *right_obj = CPyTagged_AsObject(right); PyObject *result = PyNumber_Remainder(left_obj, right_obj); Py_DECREF(left_obj); Py_DECREF(right_obj); // Handle exceptions honestly because it could be ZeroDivisionError if (result == NULL) { return CPY_INT_TAG; } else { return CPyTagged_StealFromObject(result); } } bool CPyTagged_IsEq_(CPyTagged left, CPyTagged right) { if (CPyTagged_CheckShort(right)) { return false; } else { PyObject *left_obj = CPyTagged_AsObject(left); PyObject *right_obj = CPyTagged_AsObject(right); int result = PyObject_RichCompareBool(left_obj, right_obj, Py_EQ); Py_DECREF(left_obj); Py_DECREF(right_obj); if (result == -1) { CPyError_OutOfMemory(); } return result; } } bool CPyTagged_IsLt_(CPyTagged left, CPyTagged right) { PyObject *left_obj = CPyTagged_AsObject(left); PyObject *right_obj = CPyTagged_AsObject(right); int result = PyObject_RichCompareBool(left_obj, right_obj, Py_LT); Py_DECREF(left_obj); Py_DECREF(right_obj); if (result == -1) { CPyError_OutOfMemory(); } return result; } PyObject *CPyLong_FromStrWithBase(PyObject *o, CPyTagged base) { Py_ssize_t base_size_t = CPyTagged_AsSsize_t(base); return PyLong_FromUnicodeObject(o, base_size_t); } PyObject *CPyLong_FromStr(PyObject *o) { CPyTagged base = CPyTagged_FromSsize_t(10); return CPyLong_FromStrWithBase(o, base); } CPyTagged CPyTagged_FromFloat(double f) { if (f < ((double)CPY_TAGGED_MAX + 1.0) && f > (CPY_TAGGED_MIN - 1.0)) { return (Py_ssize_t)f << 1; } PyObject *o = PyLong_FromDouble(f); if (o == NULL) return CPY_INT_TAG; return CPyTagged_StealFromObject(o); } PyObject *CPyBool_Str(bool b) { return PyObject_Str(b ? Py_True : Py_False); } // Bitwise op '&', '|' or '^' using the generic (slow) API static CPyTagged GenericBitwiseOp(CPyTagged a, CPyTagged b, char op) { PyObject *aobj = CPyTagged_AsObject(a); PyObject *bobj = CPyTagged_AsObject(b); PyObject *r; if (op == '&') { r = PyNumber_And(aobj, bobj); } else if (op == '|') { r = PyNumber_Or(aobj, bobj); } else { r = PyNumber_Xor(aobj, bobj); } if (unlikely(r == NULL)) { CPyError_OutOfMemory(); } Py_DECREF(aobj); Py_DECREF(bobj); return CPyTagged_StealFromObject(r); } // Return pointer to digits of a PyLong object. If it's a short // integer, place digits in the buffer buf instead to avoid memory // allocation (it's assumed to be big enough). Return the number of // digits in *size. *size is negative if the integer is negative. static digit *GetIntDigits(CPyTagged n, Py_ssize_t *size, digit *buf) { if (CPyTagged_CheckShort(n)) { Py_ssize_t val = CPyTagged_ShortAsSsize_t(n); bool neg = val < 0; int len = 1; if (neg) { val = -val; } buf[0] = val & PyLong_MASK; if (val > (Py_ssize_t)PyLong_MASK) { val >>= PyLong_SHIFT; buf[1] = val & PyLong_MASK; if (val > (Py_ssize_t)PyLong_MASK) { buf[2] = val >> PyLong_SHIFT; len = 3; } else { len = 2; } } *size = neg ? -len : len; return buf; } else { PyLongObject *obj = (PyLongObject *)CPyTagged_LongAsObject(n); *size = CPY_LONG_SIZE_SIGNED(obj); return &CPY_LONG_DIGIT(obj, 0); } } // Shared implementation of bitwise '&', '|' and '^' (specified by op) for at least // one long operand. This is somewhat optimized for performance. CPyTagged CPyTagged_BitwiseLongOp_(CPyTagged a, CPyTagged b, char op) { // Directly access the digits, as there is no fast C API function for this. digit abuf[3]; digit bbuf[3]; Py_ssize_t asize; Py_ssize_t bsize; digit *adigits = GetIntDigits(a, &asize, abuf); digit *bdigits = GetIntDigits(b, &bsize, bbuf); if (unlikely(asize < 0 || bsize < 0)) { // Negative operand. This is slower, but bitwise ops on them are pretty rare. return GenericBitwiseOp(a, b, op); } // Optimized implementation for two non-negative integers. // Swap a and b as needed to ensure a is no longer than b. if (asize > bsize) { digit *tmp = adigits; adigits = bdigits; bdigits = tmp; Py_ssize_t tmp_size = asize; asize = bsize; bsize = tmp_size; } void *digits = NULL; PyLongWriter *writer = PyLongWriter_Create(0, op == '&' ? asize : bsize, &digits); if (unlikely(writer == NULL)) { CPyError_OutOfMemory(); } Py_ssize_t i; if (op == '&') { for (i = 0; i < asize; i++) { ((digit *)digits)[i] = adigits[i] & bdigits[i]; } } else { if (op == '|') { for (i = 0; i < asize; i++) { ((digit *)digits)[i] = adigits[i] | bdigits[i]; } } else { for (i = 0; i < asize; i++) { ((digit *)digits)[i] = adigits[i] ^ bdigits[i]; } } for (; i < bsize; i++) { ((digit *)digits)[i] = bdigits[i]; } } return CPyTagged_StealFromObject(PyLongWriter_Finish(writer)); } // Bitwise '~' slow path CPyTagged CPyTagged_Invert_(CPyTagged num) { PyObject *obj = CPyTagged_AsObject(num); PyObject *result = PyNumber_Invert(obj); if (unlikely(result == NULL)) { CPyError_OutOfMemory(); } Py_DECREF(obj); return CPyTagged_StealFromObject(result); } // Bitwise '>>' slow path CPyTagged CPyTagged_Rshift_(CPyTagged left, CPyTagged right) { // Long integer or negative shift -- use generic op PyObject *lobj = CPyTagged_AsObject(left); PyObject *robj = CPyTagged_AsObject(right); PyObject *result = PyNumber_Rshift(lobj, robj); Py_DECREF(lobj); Py_DECREF(robj); if (result == NULL) { // Propagate error (could be negative shift count) return CPY_INT_TAG; } return CPyTagged_StealFromObject(result); } // Bitwise '<<' slow path CPyTagged CPyTagged_Lshift_(CPyTagged left, CPyTagged right) { // Long integer or out of range shift -- use generic op PyObject *lobj = CPyTagged_AsObject(left); PyObject *robj = CPyTagged_AsObject(right); PyObject *result = PyNumber_Lshift(lobj, robj); Py_DECREF(lobj); Py_DECREF(robj); if (result == NULL) { // Propagate error (could be negative shift count) return CPY_INT_TAG; } return CPyTagged_StealFromObject(result); } // i64 unboxing slow path int64_t CPyLong_AsInt64_(PyObject *o) { int overflow; int64_t result = PyLong_AsLongLongAndOverflow(o, &overflow); if (result == -1) { if (PyErr_Occurred()) { return CPY_LL_INT_ERROR; } else if (overflow) { PyErr_SetString(PyExc_OverflowError, "int too large to convert to i64"); return CPY_LL_INT_ERROR; } } return result; } int64_t CPyInt64_Divide(int64_t x, int64_t y) { if (y == 0) { PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); return CPY_LL_INT_ERROR; } if (y == -1 && x == INT64_MIN) { PyErr_SetString(PyExc_OverflowError, "integer division overflow"); return CPY_LL_INT_ERROR; } int64_t d = x / y; // Adjust for Python semantics if (((x < 0) != (y < 0)) && d * y != x) { d--; } return d; } int64_t CPyInt64_Remainder(int64_t x, int64_t y) { if (y == 0) { PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); return CPY_LL_INT_ERROR; } // Edge case: avoid core dump if (y == -1 && x == INT64_MIN) { return 0; } int64_t d = x % y; // Adjust for Python semantics if (((x < 0) != (y < 0)) && d != 0) { d += y; } return d; } // i32 unboxing slow path int32_t CPyLong_AsInt32_(PyObject *o) { int overflow; long result = PyLong_AsLongAndOverflow(o, &overflow); if (result > 0x7fffffffLL || result < -0x80000000LL) { overflow = 1; result = -1; } if (result == -1) { if (PyErr_Occurred()) { return CPY_LL_INT_ERROR; } else if (overflow) { PyErr_SetString(PyExc_OverflowError, "int too large to convert to i32"); return CPY_LL_INT_ERROR; } } return result; } int32_t CPyInt32_Divide(int32_t x, int32_t y) { if (y == 0) { PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); return CPY_LL_INT_ERROR; } if (y == -1 && x == INT32_MIN) { PyErr_SetString(PyExc_OverflowError, "integer division overflow"); return CPY_LL_INT_ERROR; } int32_t d = x / y; // Adjust for Python semantics if (((x < 0) != (y < 0)) && d * y != x) { d--; } return d; } int32_t CPyInt32_Remainder(int32_t x, int32_t y) { if (y == 0) { PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); return CPY_LL_INT_ERROR; } // Edge case: avoid core dump if (y == -1 && x == INT32_MIN) { return 0; } int32_t d = x % y; // Adjust for Python semantics if (((x < 0) != (y < 0)) && d != 0) { d += y; } return d; } void CPyInt32_Overflow() { PyErr_SetString(PyExc_OverflowError, "int too large to convert to i32"); } // i16 unboxing slow path int16_t CPyLong_AsInt16_(PyObject *o) { int overflow; long result = PyLong_AsLongAndOverflow(o, &overflow); if (result > 0x7fff || result < -0x8000) { overflow = 1; result = -1; } if (result == -1) { if (PyErr_Occurred()) { return CPY_LL_INT_ERROR; } else if (overflow) { PyErr_SetString(PyExc_OverflowError, "int too large to convert to i16"); return CPY_LL_INT_ERROR; } } return result; } int16_t CPyInt16_Divide(int16_t x, int16_t y) { if (y == 0) { PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); return CPY_LL_INT_ERROR; } if (y == -1 && x == INT16_MIN) { PyErr_SetString(PyExc_OverflowError, "integer division overflow"); return CPY_LL_INT_ERROR; } int16_t d = x / y; // Adjust for Python semantics if (((x < 0) != (y < 0)) && d * y != x) { d--; } return d; } int16_t CPyInt16_Remainder(int16_t x, int16_t y) { if (y == 0) { PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); return CPY_LL_INT_ERROR; } // Edge case: avoid core dump if (y == -1 && x == INT16_MIN) { return 0; } int16_t d = x % y; // Adjust for Python semantics if (((x < 0) != (y < 0)) && d != 0) { d += y; } return d; } void CPyInt16_Overflow() { PyErr_SetString(PyExc_OverflowError, "int too large to convert to i16"); } // u8 unboxing slow path uint8_t CPyLong_AsUInt8_(PyObject *o) { int overflow; long result = PyLong_AsLongAndOverflow(o, &overflow); if (result < 0 || result >= 256) { overflow = 1; result = -1; } if (result == -1) { if (PyErr_Occurred()) { return CPY_LL_UINT_ERROR; } else if (overflow) { PyErr_SetString(PyExc_OverflowError, "int too large or small to convert to u8"); return CPY_LL_UINT_ERROR; } } return result; } void CPyUInt8_Overflow() { PyErr_SetString(PyExc_OverflowError, "int too large or small to convert to u8"); } double CPyTagged_TrueDivide(CPyTagged x, CPyTagged y) { if (unlikely(y == 0)) { PyErr_SetString(PyExc_ZeroDivisionError, "division by zero"); return CPY_FLOAT_ERROR; } if (likely(!CPyTagged_CheckLong(x) && !CPyTagged_CheckLong(y))) { return (double)((Py_ssize_t)x >> 1) / (double)((Py_ssize_t)y >> 1); } else { PyObject *xo = CPyTagged_AsObject(x); PyObject *yo = CPyTagged_AsObject(y); PyObject *result = PyNumber_TrueDivide(xo, yo); if (result == NULL) { return CPY_FLOAT_ERROR; } return PyFloat_AsDouble(result); } return 1.0; } // int.bit_length() CPyTagged CPyTagged_BitLength(CPyTagged self) { // Handle zero if (self == 0) { return 0; } // Fast path for small (tagged) ints if (CPyTagged_CheckShort(self)) { Py_ssize_t val = CPyTagged_ShortAsSsize_t(self); Py_ssize_t absval = val < 0 ? -val : val; int bits = 0; if (absval) { #if defined(_MSC_VER) #if defined(_WIN64) unsigned long idx; if (_BitScanReverse64(&idx, (unsigned __int64)absval)) { bits = (int)(idx + 1); } #else unsigned long idx; if (_BitScanReverse(&idx, (unsigned long)absval)) { bits = (int)(idx + 1); } #endif #elif defined(__GNUC__) || defined(__clang__) bits = (int)(CPY_BITS - CPY_CLZ(absval)); #else // Fallback to loop if no builtin while (absval) { absval >>= 1; bits++; } #endif } return bits << 1; } // Slow path for big ints PyObject *pyint = CPyTagged_AsObject(self); int bits = _PyLong_NumBits(pyint); Py_DECREF(pyint); if (bits < 0) { // _PyLong_NumBits sets an error on failure return CPY_INT_TAG; } return bits << 1; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/librt_base64.c0000644000175100017510000002216515112307767017243 0ustar00runnerrunner#define PY_SSIZE_T_CLEAN #include #include #include "librt_base64.h" #include "libbase64.h" #include "pythoncapi_compat.h" #ifdef MYPYC_EXPERIMENTAL static PyObject * b64decode_handle_invalid_input( PyObject *out_bytes, char *outbuf, size_t max_out, const char *src, size_t srclen); #define BASE64_MAXBIN ((PY_SSIZE_T_MAX - 3) / 2) #define STACK_BUFFER_SIZE 1024 static PyObject * b64encode_internal(PyObject *obj) { unsigned char *ascii_data; char *bin_data; int leftbits = 0; unsigned char this_ch; unsigned int leftchar = 0; Py_ssize_t bin_len, out_len; PyBytesWriter *writer; int newline = 0; // TODO if (!PyBytes_Check(obj)) { PyErr_SetString(PyExc_TypeError, "base64() expects a bytes object"); return NULL; } bin_data = PyBytes_AS_STRING(obj); bin_len = PyBytes_GET_SIZE(obj); assert(bin_len >= 0); if (bin_len > BASE64_MAXBIN) { PyErr_SetString(PyExc_ValueError, "Too much data for base64 line"); return NULL; } Py_ssize_t buflen = 4 * bin_len / 3 + 4; char *buf; char stack_buf[STACK_BUFFER_SIZE]; if (buflen <= STACK_BUFFER_SIZE) { buf = stack_buf; } else { buf = PyMem_Malloc(buflen); if (buf == NULL) { return PyErr_NoMemory(); } } size_t actual_len; base64_encode(bin_data, bin_len, buf, &actual_len, 0); PyObject *res = PyBytes_FromStringAndSize(buf, actual_len); if (buflen > STACK_BUFFER_SIZE) PyMem_Free(buf); return res; } static PyObject* b64encode(PyObject *self, PyObject *const *args, size_t nargs) { if (nargs != 1) { PyErr_SetString(PyExc_TypeError, "b64encode() takes exactly one argument"); return 0; } return b64encode_internal(args[0]); } static inline int is_valid_base64_char(char c, bool allow_padding) { return ((c >= 'A' && c <= 'Z') || (c >= 'a' && c <= 'z') || (c >= '0' && c <= '9') || (c == '+') || (c == '/') || (allow_padding && c == '=')); } static PyObject * b64decode_internal(PyObject *arg) { const char *src; Py_ssize_t srclen_ssz; // Get input pointer and length if (PyBytes_Check(arg)) { src = PyBytes_AS_STRING(arg); srclen_ssz = PyBytes_GET_SIZE(arg); } else if (PyUnicode_Check(arg)) { if (!PyUnicode_IS_ASCII(arg)) { PyErr_SetString(PyExc_ValueError, "string argument should contain only ASCII characters"); return NULL; } src = (const char *)PyUnicode_1BYTE_DATA(arg); srclen_ssz = PyUnicode_GET_LENGTH(arg); } else { PyErr_SetString(PyExc_TypeError, "argument should be a bytes-like object or ASCII string"); return NULL; } // Fast-path: empty input if (srclen_ssz == 0) { return PyBytes_FromStringAndSize(NULL, 0); } // Quickly ignore invalid characters at the end. Other invalid characters // are also accepted, but they need a slow path. while (srclen_ssz > 0 && !is_valid_base64_char(src[srclen_ssz - 1], true)) { srclen_ssz--; } // Compute an output capacity that's at least 3/4 of input, without overflow: // ceil(3/4 * N) == N - floor(N/4) size_t srclen = (size_t)srclen_ssz; size_t max_out = srclen - (srclen / 4); if (max_out == 0) { max_out = 1; // defensive (srclen > 0 implies >= 1 anyway) } if (max_out > (size_t)PY_SSIZE_T_MAX) { PyErr_SetString(PyExc_OverflowError, "input too large"); return NULL; } // Allocate output bytes (uninitialized) of the max capacity PyObject *out_bytes = PyBytes_FromStringAndSize(NULL, (Py_ssize_t)max_out); if (out_bytes == NULL) { return NULL; // Propagate memory error } char *outbuf = PyBytes_AS_STRING(out_bytes); size_t outlen = max_out; int ret = base64_decode(src, srclen, outbuf, &outlen, 0); if (ret != 1) { if (ret == 0) { // Slow path: handle non-base64 input return b64decode_handle_invalid_input(out_bytes, outbuf, max_out, src, srclen); } Py_DECREF(out_bytes); if (ret == -1) { PyErr_SetString(PyExc_NotImplementedError, "base64 codec not available in this build"); } else { PyErr_SetString(PyExc_RuntimeError, "base64_decode failed"); } return NULL; } // Sanity-check contract (decoder must not overflow our buffer) if (outlen > max_out) { Py_DECREF(out_bytes); PyErr_SetString(PyExc_RuntimeError, "decoder wrote past output buffer"); return NULL; } // Shrink in place to the actual decoded length if (_PyBytes_Resize(&out_bytes, (Py_ssize_t)outlen) < 0) { // _PyBytes_Resize sets an exception and may free the old object return NULL; } return out_bytes; } // Process non-base64 input by ignoring non-base64 characters, for compatibility // with stdlib b64decode. static PyObject * b64decode_handle_invalid_input( PyObject *out_bytes, char *outbuf, size_t max_out, const char *src, size_t srclen) { // Copy input to a temporary buffer, with non-base64 characters and extra suffix // characters removed size_t newbuf_len = 0; char *newbuf = PyMem_Malloc(srclen); if (newbuf == NULL) { Py_DECREF(out_bytes); return PyErr_NoMemory(); } // Copy base64 characters and some padding to the new buffer for (size_t i = 0; i < srclen; i++) { char c = src[i]; if (is_valid_base64_char(c, false)) { newbuf[newbuf_len++] = c; } else if (c == '=') { // Copy a necessary amount of padding int remainder = newbuf_len % 4; if (remainder == 0) { // No padding needed break; } int numpad = 4 - remainder; // Check that there is at least the required amount padding (CPython ignores // extra padding) while (numpad > 0) { if (i == srclen || src[i] != '=') { break; } newbuf[newbuf_len++] = '='; i++; numpad--; // Skip non-base64 alphabet characters within padding while (i < srclen && !is_valid_base64_char(src[i], true)) { i++; } } break; } } // Stdlib always performs a non-strict padding check if (newbuf_len % 4 != 0) { Py_DECREF(out_bytes); PyMem_Free(newbuf); PyErr_SetString(PyExc_ValueError, "Incorrect padding"); return NULL; } size_t outlen = max_out; int ret = base64_decode(newbuf, newbuf_len, outbuf, &outlen, 0); PyMem_Free(newbuf); if (ret != 1) { Py_DECREF(out_bytes); if (ret == 0) { PyErr_SetString(PyExc_ValueError, "Only base64 data is allowed"); } if (ret == -1) { PyErr_SetString(PyExc_NotImplementedError, "base64 codec not available in this build"); } else { PyErr_SetString(PyExc_RuntimeError, "base64_decode failed"); } return NULL; } // Shrink in place to the actual decoded length if (_PyBytes_Resize(&out_bytes, (Py_ssize_t)outlen) < 0) { // _PyBytes_Resize sets an exception and may free the old object return NULL; } return out_bytes; } static PyObject* b64decode(PyObject *self, PyObject *const *args, size_t nargs) { if (nargs != 1) { PyErr_SetString(PyExc_TypeError, "b64decode() takes exactly one argument"); return 0; } return b64decode_internal(args[0]); } #endif static PyMethodDef librt_base64_module_methods[] = { #ifdef MYPYC_EXPERIMENTAL {"b64encode", (PyCFunction)b64encode, METH_FASTCALL, PyDoc_STR("Encode bytes object using Base64.")}, {"b64decode", (PyCFunction)b64decode, METH_FASTCALL, PyDoc_STR("Decode a Base64 encoded bytes object or ASCII string.")}, #endif {NULL, NULL, 0, NULL} }; static int base64_abi_version(void) { return 0; } static int base64_api_version(void) { return 0; } static int librt_base64_module_exec(PyObject *m) { #ifdef MYPYC_EXPERIMENTAL // Export mypy internal C API, be careful with the order! static void *base64_api[LIBRT_BASE64_API_LEN] = { (void *)base64_abi_version, (void *)base64_api_version, (void *)b64encode_internal, }; PyObject *c_api_object = PyCapsule_New((void *)base64_api, "librt.base64._C_API", NULL); if (PyModule_Add(m, "_C_API", c_api_object) < 0) { return -1; } #endif return 0; } static PyModuleDef_Slot librt_base64_module_slots[] = { {Py_mod_exec, librt_base64_module_exec}, #ifdef Py_MOD_GIL_NOT_USED {Py_mod_gil, Py_MOD_GIL_NOT_USED}, #endif {0, NULL} }; static PyModuleDef librt_base64_module = { .m_base = PyModuleDef_HEAD_INIT, .m_name = "base64", .m_doc = "Fast base64 encoding and decoding optimized for mypyc", .m_size = 0, .m_methods = librt_base64_module_methods, .m_slots = librt_base64_module_slots, }; PyMODINIT_FUNC PyInit_base64(void) { return PyModuleDef_Init(&librt_base64_module); } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/librt_base64.h0000644000175100017510000000346315112307767017250 0ustar00runnerrunner#ifndef LIBRT_BASE64_H #define LIBRT_BASE64_H #ifndef MYPYC_EXPERIMENTAL static int import_librt_base64(void) { // All librt.base64 features are experimental for now, so don't set up the API here return 0; } #else // MYPYC_EXPERIMENTAL #define LIBRT_BASE64_ABI_VERSION 0 #define LIBRT_BASE64_API_VERSION 0 #define LIBRT_BASE64_API_LEN 3 static void *LibRTBase64_API[LIBRT_BASE64_API_LEN]; #define LibRTBase64_ABIVersion (*(int (*)(void)) LibRTBase64_API[0]) #define LibRTBase64_APIVersion (*(int (*)(void)) LibRTBase64_API[1]) #define LibRTBase64_b64encode_internal (*(PyObject* (*)(PyObject *source)) LibRTBase64_API[2]) static int import_librt_base64(void) { PyObject *mod = PyImport_ImportModule("librt.base64"); if (mod == NULL) return -1; Py_DECREF(mod); // we import just for the side effect of making the below work. void *capsule = PyCapsule_Import("librt.base64._C_API", 0); if (capsule == NULL) return -1; memcpy(LibRTBase64_API, capsule, sizeof(LibRTBase64_API)); if (LibRTBase64_ABIVersion() != LIBRT_BASE64_ABI_VERSION) { char err[128]; snprintf(err, sizeof(err), "ABI version conflict for librt.base64, expected %d, found %d", LIBRT_BASE64_ABI_VERSION, LibRTBase64_ABIVersion() ); PyErr_SetString(PyExc_ValueError, err); return -1; } if (LibRTBase64_APIVersion() < LIBRT_BASE64_API_VERSION) { char err[128]; snprintf(err, sizeof(err), "API version conflict for librt.base64, expected %d or newer, found %d (hint: upgrade librt)", LIBRT_BASE64_API_VERSION, LibRTBase64_APIVersion() ); PyErr_SetString(PyExc_ValueError, err); return -1; } return 0; } #endif // MYPYC_EXPERIMENTAL #endif // LIBRT_BASE64_H ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/librt_internal.c0000644000175100017510000007660515112307767020003 0ustar00runnerrunner#include "pythoncapi_compat.h" #define PY_SSIZE_T_CLEAN #include #include #include "CPy.h" #define LIBRT_INTERNAL_MODULE #include "librt_internal.h" #define START_SIZE 512 // See comment in read_int_internal() on motivation for these values. #define MIN_ONE_BYTE_INT -10 #define MAX_ONE_BYTE_INT 117 // 2 ** 7 - 1 - 10 #define MIN_TWO_BYTES_INT -100 #define MAX_TWO_BYTES_INT 16283 // 2 ** (8 + 6) - 1 - 100 #define MIN_FOUR_BYTES_INT -10000 #define MAX_FOUR_BYTES_INT 536860911 // 2 ** (3 * 8 + 5) - 1 - 10000 #define TWO_BYTES_INT_BIT 1 #define FOUR_BYTES_INT_BIT 2 #define LONG_INT_BIT 4 #define FOUR_BYTES_INT_TRAILER 3 // We add one reserved bit here so that we can potentially support // 8 bytes format in the future. #define LONG_INT_TRAILER 15 #define CPY_BOOL_ERROR 2 #define CPY_NONE_ERROR 2 #define CPY_NONE 1 #define _CHECK_READ_BUFFER(data, err) if (unlikely(_check_read_buffer(data) == CPY_NONE_ERROR)) \ return err; #define _CHECK_WRITE_BUFFER(data, err) if (unlikely(_check_write_buffer(data) == CPY_NONE_ERROR)) \ return err; #define _CHECK_WRITE(data, need) if (unlikely(_check_size((WriteBufferObject *)data, need) == CPY_NONE_ERROR)) \ return CPY_NONE_ERROR; #define _CHECK_READ(data, size, err) if (unlikely(_check_read((ReadBufferObject *)data, size) == CPY_NONE_ERROR)) \ return err; #define _READ(result, data, type) \ do { \ *(result) = *(type *)(((ReadBufferObject *)data)->ptr); \ ((ReadBufferObject *)data)->ptr += sizeof(type); \ } while (0) #define _WRITE(data, type, v) \ do { \ *(type *)(((WriteBufferObject *)data)->ptr) = v; \ ((WriteBufferObject *)data)->ptr += sizeof(type); \ } while (0) // // ReadBuffer // #if PY_BIG_ENDIAN uint16_t reverse_16(uint16_t number) { return (number << 8) | (number >> 8); } uint32_t reverse_32(uint32_t number) { return ((number & 0xFF) << 24) | ((number & 0xFF00) << 8) | ((number & 0xFF0000) >> 8) | (number >> 24); } #endif typedef struct { PyObject_HEAD char *ptr; // Current read location in the buffer char *end; // End of the buffer PyObject *source; // The object that contains the buffer } ReadBufferObject; static PyTypeObject ReadBufferType; static PyObject* ReadBuffer_new(PyTypeObject *type, PyObject *args, PyObject *kwds) { if (type != &ReadBufferType) { PyErr_SetString(PyExc_TypeError, "ReadBuffer should not be subclassed"); return NULL; } ReadBufferObject *self = (ReadBufferObject *)type->tp_alloc(type, 0); if (self != NULL) { self->source = NULL; self->ptr = NULL; self->end = NULL; } return (PyObject *) self; } static int ReadBuffer_init_internal(ReadBufferObject *self, PyObject *source) { if (!PyBytes_CheckExact(source)) { PyErr_SetString(PyExc_TypeError, "source must be a bytes object"); return -1; } self->source = Py_NewRef(source); self->ptr = PyBytes_AS_STRING(source); self->end = self->ptr + PyBytes_GET_SIZE(source); return 0; } static PyObject* ReadBuffer_internal(PyObject *source) { ReadBufferObject *self = (ReadBufferObject *)ReadBufferType.tp_alloc(&ReadBufferType, 0); if (self == NULL) return NULL; self->ptr = NULL; self->end = NULL; self->source = NULL; if (ReadBuffer_init_internal(self, source) == -1) { Py_DECREF(self); return NULL; } return (PyObject *)self; } static int ReadBuffer_init(ReadBufferObject *self, PyObject *args, PyObject *kwds) { static char *kwlist[] = {"source", NULL}; PyObject *source = NULL; if (!PyArg_ParseTupleAndKeywords(args, kwds, "|O", kwlist, &source)) return -1; return ReadBuffer_init_internal(self, source); } static void ReadBuffer_dealloc(ReadBufferObject *self) { Py_CLEAR(self->source); Py_TYPE(self)->tp_free((PyObject *)self); } static PyMethodDef ReadBuffer_methods[] = { {NULL} /* Sentinel */ }; static PyTypeObject ReadBufferType = { .ob_base = PyVarObject_HEAD_INIT(NULL, 0) .tp_name = "ReadBuffer", .tp_doc = PyDoc_STR("Mypy cache buffer objects"), .tp_basicsize = sizeof(ReadBufferObject), .tp_itemsize = 0, .tp_flags = Py_TPFLAGS_DEFAULT, .tp_new = ReadBuffer_new, .tp_init = (initproc) ReadBuffer_init, .tp_dealloc = (destructor) ReadBuffer_dealloc, .tp_methods = ReadBuffer_methods, }; // // WriteBuffer // typedef struct { PyObject_HEAD char *buf; // Beginning of the buffer char *ptr; // Current write location in the buffer char *end; // End of the buffer } WriteBufferObject; static PyTypeObject WriteBufferType; static PyObject* WriteBuffer_new(PyTypeObject *type, PyObject *args, PyObject *kwds) { if (type != &WriteBufferType) { PyErr_SetString(PyExc_TypeError, "WriteBuffer cannot be subclassed"); return NULL; } WriteBufferObject *self = (WriteBufferObject *)type->tp_alloc(type, 0); if (self != NULL) { self->buf = NULL; self->ptr = NULL; self->end = NULL; } return (PyObject *)self; } static int WriteBuffer_init_internal(WriteBufferObject *self) { Py_ssize_t size = START_SIZE; self->buf = PyMem_Malloc(size + 1); if (self->buf == NULL) { PyErr_NoMemory(); return -1; } self->ptr = self->buf; self->end = self->buf + size; return 0; } static PyObject* WriteBuffer_internal(void) { WriteBufferObject *self = (WriteBufferObject *)WriteBufferType.tp_alloc(&WriteBufferType, 0); if (self == NULL) return NULL; self->buf = NULL; self->ptr = NULL; self->end = NULL; if (WriteBuffer_init_internal(self) == -1) { Py_DECREF(self); return NULL; } return (PyObject *)self; } static int WriteBuffer_init(WriteBufferObject *self, PyObject *args, PyObject *kwds) { if (!PyArg_ParseTuple(args, "")) { return -1; } if (kwds != NULL && PyDict_Size(kwds) > 0) { PyErr_SetString(PyExc_TypeError, "WriteBuffer() takes no keyword arguments"); return -1; } return WriteBuffer_init_internal(self); } static void WriteBuffer_dealloc(WriteBufferObject *self) { PyMem_Free(self->buf); self->buf = NULL; Py_TYPE(self)->tp_free((PyObject *)self); } static PyObject* WriteBuffer_getvalue_internal(PyObject *self) { WriteBufferObject *obj = (WriteBufferObject *)self; return PyBytes_FromStringAndSize(obj->buf, obj->ptr - obj->buf); } static PyObject* WriteBuffer_getvalue(WriteBufferObject *self, PyObject *Py_UNUSED(ignored)) { return PyBytes_FromStringAndSize(self->buf, self->ptr - self->buf); } static PyMethodDef WriteBuffer_methods[] = { {"getvalue", (PyCFunction) WriteBuffer_getvalue, METH_NOARGS, "Return the buffer content as bytes object" }, {NULL} /* Sentinel */ }; static PyTypeObject WriteBufferType = { .ob_base = PyVarObject_HEAD_INIT(NULL, 0) .tp_name = "WriteBuffer", .tp_doc = PyDoc_STR("Mypy cache buffer objects"), .tp_basicsize = sizeof(WriteBufferObject), .tp_itemsize = 0, .tp_flags = Py_TPFLAGS_DEFAULT, .tp_new = WriteBuffer_new, .tp_init = (initproc) WriteBuffer_init, .tp_dealloc = (destructor) WriteBuffer_dealloc, .tp_methods = WriteBuffer_methods, }; // ---------- static inline char _check_read_buffer(PyObject *data) { if (unlikely(Py_TYPE(data) != &ReadBufferType)) { PyErr_Format( PyExc_TypeError, "data must be a ReadBuffer object, got %s", Py_TYPE(data)->tp_name ); return CPY_NONE_ERROR; } return CPY_NONE; } static inline char _check_write_buffer(PyObject *data) { if (unlikely(Py_TYPE(data) != &WriteBufferType)) { PyErr_Format( PyExc_TypeError, "data must be a WriteBuffer object, got %s", Py_TYPE(data)->tp_name ); return CPY_NONE_ERROR; } return CPY_NONE; } static inline char _check_size(WriteBufferObject *data, Py_ssize_t need) { if (data->end - data->ptr >= need) return CPY_NONE; Py_ssize_t index = data->ptr - data->buf; Py_ssize_t target = index + need; Py_ssize_t size = data->end - data->buf; do { size *= 2; } while (target >= size); data->buf = PyMem_Realloc(data->buf, size); if (unlikely(data->buf == NULL)) { PyErr_NoMemory(); return CPY_NONE_ERROR; } data->ptr = data->buf + index; data->end = data->buf + size; return CPY_NONE; } static inline char _check_read(ReadBufferObject *data, Py_ssize_t need) { if (unlikely((data->end - data->ptr) < need)) { PyErr_SetString(PyExc_ValueError, "reading past the buffer end"); return CPY_NONE_ERROR; } return CPY_NONE; } /* bool format: single byte \x00 - False \x01 - True */ static char read_bool_internal(PyObject *data) { _CHECK_READ(data, 1, CPY_BOOL_ERROR) char res; _READ(&res, data, char); if (unlikely((res != 0) & (res != 1))) { PyErr_SetString(PyExc_ValueError, "invalid bool value"); return CPY_BOOL_ERROR; } return res; } static PyObject* read_bool(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", 0}; static CPyArg_Parser parser = {"O:read_bool", kwlist, 0}; PyObject *data; if (unlikely(!CPyArg_ParseStackAndKeywordsOneArg(args, nargs, kwnames, &parser, &data))) { return NULL; } _CHECK_READ_BUFFER(data, NULL) char res = read_bool_internal(data); if (unlikely(res == CPY_BOOL_ERROR)) return NULL; PyObject *retval = res ? Py_True : Py_False; Py_INCREF(retval); return retval; } static char write_bool_internal(PyObject *data, char value) { _CHECK_WRITE(data, 1) _WRITE(data, char, value); return CPY_NONE; } static PyObject* write_bool(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", "value", 0}; static CPyArg_Parser parser = {"OO:write_bool", kwlist, 0}; PyObject *data; PyObject *value; if (unlikely(!CPyArg_ParseStackAndKeywordsSimple(args, nargs, kwnames, &parser, &data, &value))) { return NULL; } _CHECK_WRITE_BUFFER(data, NULL) if (unlikely(!PyBool_Check(value))) { PyErr_SetString(PyExc_TypeError, "value must be a bool"); return NULL; } if (unlikely(write_bool_internal(data, Py_IsTrue(value)) == CPY_NONE_ERROR)) { return NULL; } Py_INCREF(Py_None); return Py_None; } /* str format: size as int (see below) followed by UTF-8 bytes */ static inline CPyTagged _read_short_int(PyObject *data, uint8_t first) { uint8_t second; uint16_t two_more; if ((first & TWO_BYTES_INT_BIT) == 0) { // Note we use tagged ints since this function can return an error. return ((Py_ssize_t)(first >> 1) + MIN_ONE_BYTE_INT) << 1; } if ((first & FOUR_BYTES_INT_BIT) == 0) { _CHECK_READ(data, 1, CPY_INT_TAG) _READ(&second, data, uint8_t); return ((((Py_ssize_t)second) << 6) + (Py_ssize_t)(first >> 2) + MIN_TWO_BYTES_INT) << 1; } // The caller is responsible to verify this is called only for short ints. _CHECK_READ(data, 3, CPY_INT_TAG) // TODO: check if compilers emit optimal code for these two reads, and tweak if needed. _READ(&second, data, uint8_t); _READ(&two_more, data, uint16_t); #if PY_BIG_ENDIAN two_more = reverse_16(two_more); #endif Py_ssize_t higher = (((Py_ssize_t)two_more) << 13) + (((Py_ssize_t)second) << 5); return (higher + (Py_ssize_t)(first >> 3) + MIN_FOUR_BYTES_INT) << 1; } static PyObject* read_str_internal(PyObject *data) { // Read string length. _CHECK_READ(data, 1, NULL) uint8_t first; _READ(&first, data, uint8_t); if (unlikely(first == LONG_INT_TRAILER)) { // Fail fast for invalid/tampered data. PyErr_SetString(PyExc_ValueError, "invalid str size"); return NULL; } CPyTagged tagged_size = _read_short_int(data, first); if (tagged_size == CPY_INT_TAG) return NULL; if ((Py_ssize_t)tagged_size < 0) { // Fail fast for invalid/tampered data. PyErr_SetString(PyExc_ValueError, "invalid str size"); return NULL; } Py_ssize_t size = tagged_size >> 1; // Read string content. char *ptr = ((ReadBufferObject *)data)->ptr; _CHECK_READ(data, size, NULL) PyObject *res = PyUnicode_FromStringAndSize(ptr, (Py_ssize_t)size); if (unlikely(res == NULL)) return NULL; ((ReadBufferObject *)data)->ptr += size; return res; } static PyObject* read_str(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", 0}; static CPyArg_Parser parser = {"O:read_str", kwlist, 0}; PyObject *data; if (unlikely(!CPyArg_ParseStackAndKeywordsOneArg(args, nargs, kwnames, &parser, &data))) { return NULL; } _CHECK_READ_BUFFER(data, NULL) return read_str_internal(data); } // The caller *must* check that real_value is within allowed range (29 bits). static inline char _write_short_int(PyObject *data, Py_ssize_t real_value) { if (real_value >= MIN_ONE_BYTE_INT && real_value <= MAX_ONE_BYTE_INT) { _CHECK_WRITE(data, 1) _WRITE(data, uint8_t, (uint8_t)(real_value - MIN_ONE_BYTE_INT) << 1); } else if (real_value >= MIN_TWO_BYTES_INT && real_value <= MAX_TWO_BYTES_INT) { _CHECK_WRITE(data, 2) #if PY_BIG_ENDIAN uint16_t to_write = ((uint16_t)(real_value - MIN_TWO_BYTES_INT) << 2) | TWO_BYTES_INT_BIT; _WRITE(data, uint16_t, reverse_16(to_write)); #else _WRITE(data, uint16_t, ((uint16_t)(real_value - MIN_TWO_BYTES_INT) << 2) | TWO_BYTES_INT_BIT); #endif } else { _CHECK_WRITE(data, 4) #if PY_BIG_ENDIAN uint32_t to_write = ((uint32_t)(real_value - MIN_FOUR_BYTES_INT) << 3) | FOUR_BYTES_INT_TRAILER; _WRITE(data, uint32_t, reverse_32(to_write)); #else _WRITE(data, uint32_t, ((uint32_t)(real_value - MIN_FOUR_BYTES_INT) << 3) | FOUR_BYTES_INT_TRAILER); #endif } return CPY_NONE; } static char write_str_internal(PyObject *data, PyObject *value) { Py_ssize_t size; const char *chunk = PyUnicode_AsUTF8AndSize(value, &size); if (unlikely(chunk == NULL)) return CPY_NONE_ERROR; // Write string length. if (likely(size >= MIN_FOUR_BYTES_INT && size <= MAX_FOUR_BYTES_INT)) { if (_write_short_int(data, size) == CPY_NONE_ERROR) return CPY_NONE_ERROR; } else { PyErr_SetString(PyExc_ValueError, "str too long to serialize"); return CPY_NONE_ERROR; } // Write string content. _CHECK_WRITE(data, size) char *ptr = ((WriteBufferObject *)data)->ptr; memcpy(ptr, chunk, size); ((WriteBufferObject *)data)->ptr += size; return CPY_NONE; } static PyObject* write_str(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", "value", 0}; static CPyArg_Parser parser = {"OO:write_str", kwlist, 0}; PyObject *data; PyObject *value; if (unlikely(!CPyArg_ParseStackAndKeywordsSimple(args, nargs, kwnames, &parser, &data, &value))) { return NULL; } _CHECK_WRITE_BUFFER(data, NULL) if (unlikely(!PyUnicode_Check(value))) { PyErr_SetString(PyExc_TypeError, "value must be a str"); return NULL; } if (unlikely(write_str_internal(data, value) == CPY_NONE_ERROR)) { return NULL; } Py_INCREF(Py_None); return Py_None; } /* bytes format: size as int (see below) followed by bytes */ static PyObject* read_bytes_internal(PyObject *data) { // Read length. _CHECK_READ(data, 1, NULL) uint8_t first; _READ(&first, data, uint8_t); if (unlikely(first == LONG_INT_TRAILER)) { // Fail fast for invalid/tampered data. PyErr_SetString(PyExc_ValueError, "invalid bytes size"); return NULL; } CPyTagged tagged_size = _read_short_int(data, first); if (tagged_size == CPY_INT_TAG) return NULL; if ((Py_ssize_t)tagged_size < 0) { // Fail fast for invalid/tampered data. PyErr_SetString(PyExc_ValueError, "invalid bytes size"); return NULL; } Py_ssize_t size = tagged_size >> 1; // Read bytes content. char *ptr = ((ReadBufferObject *)data)->ptr; _CHECK_READ(data, size, NULL) PyObject *res = PyBytes_FromStringAndSize(ptr, (Py_ssize_t)size); if (unlikely(res == NULL)) return NULL; ((ReadBufferObject *)data)->ptr += size; return res; } static PyObject* read_bytes(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", 0}; static CPyArg_Parser parser = {"O:read_bytes", kwlist, 0}; PyObject *data; if (unlikely(!CPyArg_ParseStackAndKeywordsOneArg(args, nargs, kwnames, &parser, &data))) { return NULL; } _CHECK_READ_BUFFER(data, NULL) return read_bytes_internal(data); } static char write_bytes_internal(PyObject *data, PyObject *value) { const char *chunk = PyBytes_AsString(value); if (unlikely(chunk == NULL)) return CPY_NONE_ERROR; Py_ssize_t size = PyBytes_GET_SIZE(value); // Write length. if (likely(size >= MIN_FOUR_BYTES_INT && size <= MAX_FOUR_BYTES_INT)) { if (_write_short_int(data, size) == CPY_NONE_ERROR) return CPY_NONE_ERROR; } else { PyErr_SetString(PyExc_ValueError, "bytes too long to serialize"); return CPY_NONE_ERROR; } // Write bytes content. _CHECK_WRITE(data, size) char *ptr = ((WriteBufferObject *)data)->ptr; memcpy(ptr, chunk, size); ((WriteBufferObject *)data)->ptr += size; return CPY_NONE; } static PyObject* write_bytes(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", "value", 0}; static CPyArg_Parser parser = {"OO:write_bytes", kwlist, 0}; PyObject *data; PyObject *value; if (unlikely(!CPyArg_ParseStackAndKeywordsSimple(args, nargs, kwnames, &parser, &data, &value))) { return NULL; } _CHECK_WRITE_BUFFER(data, NULL) if (unlikely(!PyBytes_Check(value))) { PyErr_SetString(PyExc_TypeError, "value must be a bytes object"); return NULL; } if (unlikely(write_bytes_internal(data, value) == CPY_NONE_ERROR)) { return NULL; } Py_INCREF(Py_None); return Py_None; } /* float format: stored using PyFloat helpers in little-endian format. */ static double read_float_internal(PyObject *data) { _CHECK_READ(data, 8, CPY_FLOAT_ERROR) char *ptr = ((ReadBufferObject *)data)->ptr; double res = PyFloat_Unpack8(ptr, 1); if (unlikely((res == -1.0) && PyErr_Occurred())) return CPY_FLOAT_ERROR; ((ReadBufferObject *)data)->ptr += 8; return res; } static PyObject* read_float(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", 0}; static CPyArg_Parser parser = {"O:read_float", kwlist, 0}; PyObject *data; if (unlikely(!CPyArg_ParseStackAndKeywordsOneArg(args, nargs, kwnames, &parser, &data))) { return NULL; } _CHECK_READ_BUFFER(data, NULL) double retval = read_float_internal(data); if (unlikely(retval == CPY_FLOAT_ERROR && PyErr_Occurred())) { return NULL; } return PyFloat_FromDouble(retval); } static char write_float_internal(PyObject *data, double value) { _CHECK_WRITE(data, 8) char *ptr = ((WriteBufferObject *)data)->ptr; int res = PyFloat_Pack8(value, ptr, 1); if (unlikely(res == -1)) return CPY_NONE_ERROR; ((WriteBufferObject *)data)->ptr += 8; return CPY_NONE; } static PyObject* write_float(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", "value", 0}; static CPyArg_Parser parser = {"OO:write_float", kwlist, 0}; PyObject *data; PyObject *value; if (unlikely(!CPyArg_ParseStackAndKeywordsSimple(args, nargs, kwnames, &parser, &data, &value))) { return NULL; } _CHECK_WRITE_BUFFER(data, NULL) if (unlikely(!PyFloat_Check(value))) { PyErr_SetString(PyExc_TypeError, "value must be a float"); return NULL; } if (unlikely(write_float_internal(data, PyFloat_AsDouble(value)) == CPY_NONE_ERROR)) { return NULL; } Py_INCREF(Py_None); return Py_None; } /* int format: one byte: last bit 0, 7 bits used two bytes: last two bits 01, 14 bits used four bytes: last three bits 011, 29 bits used everything else: 00001111 followed by serialized string representation Note: for fixed size formats we skew ranges towards more positive values, since negative integers are much more rare. */ static CPyTagged read_int_internal(PyObject *data) { _CHECK_READ(data, 1, CPY_INT_TAG) uint8_t first; _READ(&first, data, uint8_t); if (likely(first != LONG_INT_TRAILER)) { return _read_short_int(data, first); } // Long integer encoding -- byte length and sign, followed by a byte array. // Read byte length and sign. _CHECK_READ(data, 1, CPY_INT_TAG) _READ(&first, data, uint8_t); Py_ssize_t size_and_sign = _read_short_int(data, first); if (size_and_sign == CPY_INT_TAG) return CPY_INT_TAG; if ((Py_ssize_t)size_and_sign < 0) { PyErr_SetString(PyExc_ValueError, "invalid int data"); return CPY_INT_TAG; } bool sign = (size_and_sign >> 1) & 1; Py_ssize_t size = size_and_sign >> 2; // Construct an int object from the byte array. _CHECK_READ(data, size, CPY_INT_TAG) char *ptr = ((ReadBufferObject *)data)->ptr; PyObject *num = _PyLong_FromByteArray((unsigned char *)ptr, size, 1, 0); if (num == NULL) return CPY_INT_TAG; ((ReadBufferObject *)data)->ptr += size; if (sign) { PyObject *old = num; num = PyNumber_Negative(old); Py_DECREF(old); if (num == NULL) { return CPY_INT_TAG; } } return CPyTagged_StealFromObject(num); } static PyObject* read_int(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", 0}; static CPyArg_Parser parser = {"O:read_int", kwlist, 0}; PyObject *data; if (unlikely(!CPyArg_ParseStackAndKeywordsOneArg(args, nargs, kwnames, &parser, &data))) { return NULL; } _CHECK_READ_BUFFER(data, NULL) CPyTagged retval = read_int_internal(data); if (unlikely(retval == CPY_INT_TAG)) { return NULL; } return CPyTagged_StealAsObject(retval); } static inline int hex_to_int(char c) { if (c >= '0' && c <= '9') return c - '0'; else if (c >= 'a' && c <= 'f') return c - 'a' + 10; else return c - 'A' + 10; // Assume valid hex digit } static inline char _write_long_int(PyObject *data, CPyTagged value) { _CHECK_WRITE(data, 1) _WRITE(data, uint8_t, LONG_INT_TRAILER); PyObject *hex_str = NULL; PyObject* int_value = CPyTagged_AsObject(value); if (unlikely(int_value == NULL)) goto error; hex_str = PyNumber_ToBase(int_value, 16); if (hex_str == NULL) goto error; Py_DECREF(int_value); int_value = NULL; const char *str = PyUnicode_AsUTF8(hex_str); if (str == NULL) goto error; Py_ssize_t len = strlen(str); bool neg; if (str[0] == '-') { str++; len--; neg = true; } else { neg = false; } // Skip the 0x hex prefix. str += 2; len -= 2; // Write bytes encoded length and sign. Py_ssize_t size = (len + 1) / 2; Py_ssize_t encoded_size = (size << 1) | neg; if (encoded_size <= MAX_FOUR_BYTES_INT) { if (_write_short_int(data, encoded_size) == CPY_NONE_ERROR) goto error; } else { PyErr_SetString(PyExc_ValueError, "int too long to serialize"); goto error; } // Write absolute integer value as byte array in a variable-length little endian format. int i; for (i = len; i > 1; i -= 2) { if (write_tag_internal( data, hex_to_int(str[i - 1]) | (hex_to_int(str[i - 2]) << 4)) == CPY_NONE_ERROR) goto error; } // The final byte may correspond to only one hex digit. if (i == 1) { if (write_tag_internal(data, hex_to_int(str[i - 1])) == CPY_NONE_ERROR) goto error; } Py_DECREF(hex_str); return CPY_NONE; error: Py_XDECREF(int_value); Py_XDECREF(hex_str); return CPY_NONE_ERROR; } static char write_int_internal(PyObject *data, CPyTagged value) { if (likely((value & CPY_INT_TAG) == 0)) { Py_ssize_t real_value = CPyTagged_ShortAsSsize_t(value); if (likely(real_value >= MIN_FOUR_BYTES_INT && real_value <= MAX_FOUR_BYTES_INT)) { return _write_short_int(data, real_value); } else { return _write_long_int(data, value); } } else { return _write_long_int(data, value); } } static PyObject* write_int(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", "value", 0}; static CPyArg_Parser parser = {"OO:write_int", kwlist, 0}; PyObject *data; PyObject *value; if (unlikely(!CPyArg_ParseStackAndKeywordsSimple(args, nargs, kwnames, &parser, &data, &value))) { return NULL; } _CHECK_WRITE_BUFFER(data, NULL) if (unlikely(!PyLong_Check(value))) { PyErr_SetString(PyExc_TypeError, "value must be an int"); return NULL; } CPyTagged tagged_value = CPyTagged_BorrowFromObject(value); if (unlikely(write_int_internal(data, tagged_value) == CPY_NONE_ERROR)) { return NULL; } Py_INCREF(Py_None); return Py_None; } /* integer tag format (0 <= t <= 255): stored as a uint8_t */ static uint8_t read_tag_internal(PyObject *data) { _CHECK_READ(data, 1, CPY_LL_UINT_ERROR) uint8_t ret; _READ(&ret, data, uint8_t); return ret; } static PyObject* read_tag(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", 0}; static CPyArg_Parser parser = {"O:read_tag", kwlist, 0}; PyObject *data; if (unlikely(!CPyArg_ParseStackAndKeywordsOneArg(args, nargs, kwnames, &parser, &data))) { return NULL; } _CHECK_READ_BUFFER(data, NULL) uint8_t retval = read_tag_internal(data); if (unlikely(retval == CPY_LL_UINT_ERROR && PyErr_Occurred())) { return NULL; } return PyLong_FromLong(retval); } static char write_tag_internal(PyObject *data, uint8_t value) { _CHECK_WRITE(data, 1) _WRITE(data, uint8_t, value); return CPY_NONE; } static PyObject* write_tag(PyObject *self, PyObject *const *args, size_t nargs, PyObject *kwnames) { static const char * const kwlist[] = {"data", "value", 0}; static CPyArg_Parser parser = {"OO:write_tag", kwlist, 0}; PyObject *data; PyObject *value; if (unlikely(!CPyArg_ParseStackAndKeywordsSimple(args, nargs, kwnames, &parser, &data, &value))) { return NULL; } _CHECK_WRITE_BUFFER(data, NULL) uint8_t unboxed = CPyLong_AsUInt8(value); if (unlikely(unboxed == CPY_LL_UINT_ERROR && PyErr_Occurred())) { CPy_TypeError("u8", value); return NULL; } if (unlikely(write_tag_internal(data, unboxed) == CPY_NONE_ERROR)) { return NULL; } Py_INCREF(Py_None); return Py_None; } static uint8_t cache_version_internal(void) { return 0; } static PyObject* cache_version(PyObject *self, PyObject *Py_UNUSED(ignored)) { return PyLong_FromLong(cache_version_internal()); } static PyTypeObject * ReadBuffer_type_internal(void) { return &ReadBufferType; // Return borrowed reference } static PyTypeObject * WriteBuffer_type_internal(void) { return &WriteBufferType; // Return borrowed reference }; static PyMethodDef librt_internal_module_methods[] = { {"write_bool", (PyCFunction)write_bool, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("write a bool")}, {"read_bool", (PyCFunction)read_bool, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("read a bool")}, {"write_str", (PyCFunction)write_str, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("write a string")}, {"read_str", (PyCFunction)read_str, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("read a string")}, {"write_bytes", (PyCFunction)write_bytes, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("write bytes")}, {"read_bytes", (PyCFunction)read_bytes, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("read bytes")}, {"write_float", (PyCFunction)write_float, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("write a float")}, {"read_float", (PyCFunction)read_float, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("read a float")}, {"write_int", (PyCFunction)write_int, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("write an int")}, {"read_int", (PyCFunction)read_int, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("read an int")}, {"write_tag", (PyCFunction)write_tag, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("write a short int")}, {"read_tag", (PyCFunction)read_tag, METH_FASTCALL | METH_KEYWORDS, PyDoc_STR("read a short int")}, {"cache_version", (PyCFunction)cache_version, METH_NOARGS, PyDoc_STR("cache format version")}, {NULL, NULL, 0, NULL} }; static int NativeInternal_ABI_Version(void) { return LIBRT_INTERNAL_ABI_VERSION; } static int NativeInternal_API_Version(void) { return LIBRT_INTERNAL_API_VERSION; } static int librt_internal_module_exec(PyObject *m) { if (PyType_Ready(&ReadBufferType) < 0) { return -1; } if (PyType_Ready(&WriteBufferType) < 0) { return -1; } if (PyModule_AddObjectRef(m, "ReadBuffer", (PyObject *) &ReadBufferType) < 0) { return -1; } if (PyModule_AddObjectRef(m, "WriteBuffer", (PyObject *) &WriteBufferType) < 0) { return -1; } // Export mypy internal C API, be careful with the order! static void *NativeInternal_API[LIBRT_INTERNAL_API_LEN] = { (void *)ReadBuffer_internal, (void *)WriteBuffer_internal, (void *)WriteBuffer_getvalue_internal, (void *)write_bool_internal, (void *)read_bool_internal, (void *)write_str_internal, (void *)read_str_internal, (void *)write_float_internal, (void *)read_float_internal, (void *)write_int_internal, (void *)read_int_internal, (void *)write_tag_internal, (void *)read_tag_internal, (void *)NativeInternal_ABI_Version, (void *)write_bytes_internal, (void *)read_bytes_internal, (void *)cache_version_internal, (void *)ReadBuffer_type_internal, (void *)WriteBuffer_type_internal, (void *)NativeInternal_API_Version, }; PyObject *c_api_object = PyCapsule_New((void *)NativeInternal_API, "librt.internal._C_API", NULL); if (PyModule_Add(m, "_C_API", c_api_object) < 0) { return -1; } return 0; } static PyModuleDef_Slot librt_internal_module_slots[] = { {Py_mod_exec, librt_internal_module_exec}, #ifdef Py_MOD_GIL_NOT_USED {Py_mod_gil, Py_MOD_GIL_NOT_USED}, #endif {0, NULL} }; static PyModuleDef librt_internal_module = { .m_base = PyModuleDef_HEAD_INIT, .m_name = "internal", .m_doc = "Mypy cache serialization utils", .m_size = 0, .m_methods = librt_internal_module_methods, .m_slots = librt_internal_module_slots, }; PyMODINIT_FUNC PyInit_internal(void) { return PyModuleDef_Init(&librt_internal_module); } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/librt_internal.h0000644000175100017510000001207515112307767017777 0ustar00runnerrunner#ifndef LIBRT_INTERNAL_H #define LIBRT_INTERNAL_H // ABI version -- only an exact match is compatible. This will only be changed in // very exceptional cases (likely never) due to strict backward compatibility // requirements. #define LIBRT_INTERNAL_ABI_VERSION 2 // API version -- more recent versions must maintain backward compatibility, i.e. // we can add new features but not remove or change existing features (unless // ABI version is changed, but see the comment above). #define LIBRT_INTERNAL_API_VERSION 0 // Number of functions in the capsule API. If you add a new function, also increase // LIBRT_INTERNAL_API_VERSION. #define LIBRT_INTERNAL_API_LEN 20 #ifdef LIBRT_INTERNAL_MODULE static PyObject *ReadBuffer_internal(PyObject *source); static PyObject *WriteBuffer_internal(void); static PyObject *WriteBuffer_getvalue_internal(PyObject *self); static PyObject *ReadBuffer_internal(PyObject *source); static PyObject *ReadBuffer_internal_empty(void); static char write_bool_internal(PyObject *data, char value); static char read_bool_internal(PyObject *data); static char write_str_internal(PyObject *data, PyObject *value); static PyObject *read_str_internal(PyObject *data); static char write_float_internal(PyObject *data, double value); static double read_float_internal(PyObject *data); static char write_int_internal(PyObject *data, CPyTagged value); static CPyTagged read_int_internal(PyObject *data); static char write_tag_internal(PyObject *data, uint8_t value); static uint8_t read_tag_internal(PyObject *data); static int NativeInternal_ABI_Version(void); static char write_bytes_internal(PyObject *data, PyObject *value); static PyObject *read_bytes_internal(PyObject *data); static uint8_t cache_version_internal(void); static PyTypeObject *ReadBuffer_type_internal(void); static PyTypeObject *WriteBuffer_type_internal(void); static int NativeInternal_API_Version(void); #else static void *NativeInternal_API[LIBRT_INTERNAL_API_LEN]; #define ReadBuffer_internal (*(PyObject* (*)(PyObject *source)) NativeInternal_API[0]) #define WriteBuffer_internal (*(PyObject* (*)(void)) NativeInternal_API[1]) #define WriteBuffer_getvalue_internal (*(PyObject* (*)(PyObject *source)) NativeInternal_API[2]) #define write_bool_internal (*(char (*)(PyObject *source, char value)) NativeInternal_API[3]) #define read_bool_internal (*(char (*)(PyObject *source)) NativeInternal_API[4]) #define write_str_internal (*(char (*)(PyObject *source, PyObject *value)) NativeInternal_API[5]) #define read_str_internal (*(PyObject* (*)(PyObject *source)) NativeInternal_API[6]) #define write_float_internal (*(char (*)(PyObject *source, double value)) NativeInternal_API[7]) #define read_float_internal (*(double (*)(PyObject *source)) NativeInternal_API[8]) #define write_int_internal (*(char (*)(PyObject *source, CPyTagged value)) NativeInternal_API[9]) #define read_int_internal (*(CPyTagged (*)(PyObject *source)) NativeInternal_API[10]) #define write_tag_internal (*(char (*)(PyObject *source, uint8_t value)) NativeInternal_API[11]) #define read_tag_internal (*(uint8_t (*)(PyObject *source)) NativeInternal_API[12]) #define NativeInternal_ABI_Version (*(int (*)(void)) NativeInternal_API[13]) #define write_bytes_internal (*(char (*)(PyObject *source, PyObject *value)) NativeInternal_API[14]) #define read_bytes_internal (*(PyObject* (*)(PyObject *source)) NativeInternal_API[15]) #define cache_version_internal (*(uint8_t (*)(void)) NativeInternal_API[16]) #define ReadBuffer_type_internal (*(PyTypeObject* (*)(void)) NativeInternal_API[17]) #define WriteBuffer_type_internal (*(PyTypeObject* (*)(void)) NativeInternal_API[18]) #define NativeInternal_API_Version (*(int (*)(void)) NativeInternal_API[19]) static int import_librt_internal(void) { PyObject *mod = PyImport_ImportModule("librt.internal"); if (mod == NULL) return -1; Py_DECREF(mod); // we import just for the side effect of making the below work. void *capsule = PyCapsule_Import("librt.internal._C_API", 0); if (capsule == NULL) return -1; memcpy(NativeInternal_API, capsule, sizeof(NativeInternal_API)); if (NativeInternal_ABI_Version() != LIBRT_INTERNAL_ABI_VERSION) { char err[128]; snprintf(err, sizeof(err), "ABI version conflict for librt.internal, expected %d, found %d", LIBRT_INTERNAL_ABI_VERSION, NativeInternal_ABI_Version() ); PyErr_SetString(PyExc_ValueError, err); return -1; } if (NativeInternal_API_Version() < LIBRT_INTERNAL_API_VERSION) { char err[128]; snprintf(err, sizeof(err), "API version conflict for librt.internal, expected %d or newer, found %d (hint: upgrade librt)", LIBRT_INTERNAL_API_VERSION, NativeInternal_API_Version() ); PyErr_SetString(PyExc_ValueError, err); return -1; } return 0; } #endif static inline bool CPyReadBuffer_Check(PyObject *obj) { return Py_TYPE(obj) == ReadBuffer_type_internal(); } static inline bool CPyWriteBuffer_Check(PyObject *obj) { return Py_TYPE(obj) == WriteBuffer_type_internal(); } #endif // LIBRT_INTERNAL_H ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/list_ops.c0000644000175100017510000002713015112307767016614 0ustar00runnerrunner// List primitive operations // // These are registered in mypyc.primitives.list_ops. #include #include "CPy.h" #ifndef Py_TPFLAGS_SEQUENCE #define Py_TPFLAGS_SEQUENCE (1 << 5) #endif PyObject *CPyList_Build(Py_ssize_t len, ...) { Py_ssize_t i; PyObject *res = PyList_New(len); if (res == NULL) { return NULL; } va_list args; va_start(args, len); for (i = 0; i < len; i++) { // Steals the reference PyObject *value = va_arg(args, PyObject *); PyList_SET_ITEM(res, i, value); } va_end(args); return res; } char CPyList_Clear(PyObject *list) { if (PyList_CheckExact(list)) { PyList_Clear(list); } else { _Py_IDENTIFIER(clear); PyObject *name = _PyUnicode_FromId(&PyId_clear); if (name == NULL) { return 0; } PyObject *res = PyObject_CallMethodNoArgs(list, name); if (res == NULL) { return 0; } } return 1; } PyObject *CPyList_Copy(PyObject *list) { if(PyList_CheckExact(list)) { return PyList_GetSlice(list, 0, PyList_GET_SIZE(list)); } _Py_IDENTIFIER(copy); PyObject *name = _PyUnicode_FromId(&PyId_copy); if (name == NULL) { return NULL; } return PyObject_CallMethodNoArgs(list, name); } PyObject *CPyList_GetItemShort(PyObject *list, CPyTagged index) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); Py_ssize_t size = PyList_GET_SIZE(list); if (n >= 0) { if (n >= size) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } } else { n += size; if (n < 0) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } } PyObject *result = PyList_GET_ITEM(list, n); Py_INCREF(result); return result; } PyObject *CPyList_GetItemShortBorrow(PyObject *list, CPyTagged index) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); Py_ssize_t size = PyList_GET_SIZE(list); if (n >= 0) { if (n >= size) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } } else { n += size; if (n < 0) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } } return PyList_GET_ITEM(list, n); } PyObject *CPyList_GetItem(PyObject *list, CPyTagged index) { if (CPyTagged_CheckShort(index)) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); Py_ssize_t size = PyList_GET_SIZE(list); if (n >= 0) { if (n >= size) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } } else { n += size; if (n < 0) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } } PyObject *result = PyList_GET_ITEM(list, n); Py_INCREF(result); return result; } else { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return NULL; } } PyObject *CPyList_GetItemBorrow(PyObject *list, CPyTagged index) { if (CPyTagged_CheckShort(index)) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); Py_ssize_t size = PyList_GET_SIZE(list); if (n >= 0) { if (n >= size) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } } else { n += size; if (n < 0) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } } return PyList_GET_ITEM(list, n); } else { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return NULL; } } PyObject *CPyList_GetItemInt64(PyObject *list, int64_t index) { size_t size = PyList_GET_SIZE(list); if (likely((uint64_t)index < size)) { PyObject *result = PyList_GET_ITEM(list, index); Py_INCREF(result); return result; } if (index >= 0) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } index += size; if (index < 0) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } PyObject *result = PyList_GET_ITEM(list, index); Py_INCREF(result); return result; } PyObject *CPyList_GetItemInt64Borrow(PyObject *list, int64_t index) { size_t size = PyList_GET_SIZE(list); if (likely((uint64_t)index < size)) { return PyList_GET_ITEM(list, index); } if (index >= 0) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } index += size; if (index < 0) { PyErr_SetString(PyExc_IndexError, "list index out of range"); return NULL; } return PyList_GET_ITEM(list, index); } bool CPyList_SetItem(PyObject *list, CPyTagged index, PyObject *value) { if (CPyTagged_CheckShort(index)) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); Py_ssize_t size = PyList_GET_SIZE(list); if (n >= 0) { if (n >= size) { PyErr_SetString(PyExc_IndexError, "list assignment index out of range"); return false; } } else { n += size; if (n < 0) { PyErr_SetString(PyExc_IndexError, "list assignment index out of range"); return false; } } // PyList_SET_ITEM doesn't decref the old element, so we do Py_DECREF(PyList_GET_ITEM(list, n)); // N.B: Steals reference PyList_SET_ITEM(list, n, value); return true; } else { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return false; } } bool CPyList_SetItemInt64(PyObject *list, int64_t index, PyObject *value) { size_t size = PyList_GET_SIZE(list); if (unlikely((uint64_t)index >= size)) { if (index > 0) { PyErr_SetString(PyExc_IndexError, "list assignment index out of range"); return false; } index += size; if (index < 0) { PyErr_SetString(PyExc_IndexError, "list assignment index out of range"); return false; } } // PyList_SET_ITEM doesn't decref the old element, so we do Py_DECREF(PyList_GET_ITEM(list, index)); // N.B: Steals reference PyList_SET_ITEM(list, index, value); return true; } // This function should only be used to fill in brand new lists. void CPyList_SetItemUnsafe(PyObject *list, Py_ssize_t index, PyObject *value) { PyList_SET_ITEM(list, index, value); } #ifdef Py_GIL_DISABLED // The original optimized list.pop implementation doesn't work on free-threaded // builds, so provide an alternative that is a bit slower but works. // // Note that this implementation isn't intended to be atomic. static inline PyObject *list_pop_index(PyObject *list, Py_ssize_t index) { PyObject *item = PyList_GetItemRef(list, index); if (item == NULL) { return NULL; } if (PySequence_DelItem(list, index) < 0) { Py_DECREF(item); return NULL; } return item; } #endif PyObject *CPyList_PopLast(PyObject *list) { #ifdef Py_GIL_DISABLED // The other implementation causes segfaults on a free-threaded Python 3.14b4 build. Py_ssize_t index = PyList_GET_SIZE(list) - 1; return list_pop_index(list, index); #else // I tried a specalized version of pop_impl for just removing the // last element and it wasn't any faster in microbenchmarks than // the generic one so I ditched it. return list_pop_impl((PyListObject *)list, -1); #endif } PyObject *CPyList_Pop(PyObject *obj, CPyTagged index) { if (CPyTagged_CheckShort(index)) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); #ifdef Py_GIL_DISABLED // We must use a slower implementation on free-threaded builds. if (n < 0) { n += PyList_GET_SIZE(obj); } return list_pop_index(obj, n); #else return list_pop_impl((PyListObject *)obj, n); #endif } else { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return NULL; } } CPyTagged CPyList_Count(PyObject *obj, PyObject *value) { return list_count((PyListObject *)obj, value); } int CPyList_Insert(PyObject *list, CPyTagged index, PyObject *value) { if (CPyTagged_CheckShort(index)) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); return PyList_Insert(list, n, value); } // The max range doesn't exactly coincide with ssize_t, but we still // want to keep the error message compatible with CPython. PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return -1; } PyObject *CPyList_Extend(PyObject *o1, PyObject *o2) { if (PyList_Extend(o1, o2) < 0) { return NULL; } Py_RETURN_NONE; } // Return -2 or error, -1 if not found, or index of first match otherwise. static Py_ssize_t _CPyList_Find(PyObject *list, PyObject *obj) { Py_ssize_t i; for (i = 0; i < Py_SIZE(list); i++) { PyObject *item = PyList_GET_ITEM(list, i); Py_INCREF(item); int cmp = PyObject_RichCompareBool(item, obj, Py_EQ); Py_DECREF(item); if (cmp != 0) { if (cmp > 0) { return i; } else { return -2; } } } return -1; } int CPyList_Remove(PyObject *list, PyObject *obj) { Py_ssize_t index = _CPyList_Find(list, obj); if (index == -2) { return -1; } if (index == -1) { PyErr_SetString(PyExc_ValueError, "list.remove(x): x not in list"); return -1; } return PyList_SetSlice(list, index, index + 1, NULL); } CPyTagged CPyList_Index(PyObject *list, PyObject *obj) { Py_ssize_t index = _CPyList_Find(list, obj); if (index == -2) { return CPY_INT_TAG; } if (index == -1) { PyErr_SetString(PyExc_ValueError, "value is not in list"); return CPY_INT_TAG; } return index << 1; } PyObject *CPySequence_Sort(PyObject *seq) { PyObject *newlist = PySequence_List(seq); if (newlist == NULL) return NULL; int res = PyList_Sort(newlist); if (res < 0) { Py_DECREF(newlist); return NULL; } return newlist; } PyObject *CPySequence_Multiply(PyObject *seq, CPyTagged t_size) { Py_ssize_t size = CPyTagged_AsSsize_t(t_size); if (size == -1 && PyErr_Occurred()) { return NULL; } return PySequence_Repeat(seq, size); } PyObject *CPySequence_RMultiply(CPyTagged t_size, PyObject *seq) { return CPySequence_Multiply(seq, t_size); } PyObject *CPySequence_InPlaceMultiply(PyObject *seq, CPyTagged t_size) { Py_ssize_t size = CPyTagged_AsSsize_t(t_size); if (size == -1 && PyErr_Occurred()) { return NULL; } return PySequence_InPlaceRepeat(seq, size); } PyObject *CPyList_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end) { if (likely(PyList_CheckExact(obj) && CPyTagged_CheckShort(start) && CPyTagged_CheckShort(end))) { Py_ssize_t startn = CPyTagged_ShortAsSsize_t(start); Py_ssize_t endn = CPyTagged_ShortAsSsize_t(end); if (startn < 0) { startn += PyList_GET_SIZE(obj); } if (endn < 0) { endn += PyList_GET_SIZE(obj); } return PyList_GetSlice(obj, startn, endn); } return CPyObject_GetSlice(obj, start, end); } int CPySequence_Check(PyObject *obj) { return Py_TYPE(obj)->tp_flags & Py_TPFLAGS_SEQUENCE; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/misc_ops.c0000644000175100017510000010607515112307767016602 0ustar00runnerrunner#include "pythoncapi_compat.h" // Misc primitive operations + C helpers // // These are registered in mypyc.primitives.misc_ops. #include #include #include "CPy.h" PyObject *CPy_GetCoro(PyObject *obj) { // If the type has an __await__ method, call it, // otherwise, fallback to calling __iter__. PyAsyncMethods* async_struct = Py_TYPE(obj)->tp_as_async; if (async_struct != NULL && async_struct->am_await != NULL) { return (async_struct->am_await)(obj); } else { // TODO: We should check that the type is a generator decorated with // asyncio.coroutine return PyObject_GetIter(obj); } } PyObject *CPyIter_Send(PyObject *iter, PyObject *val) { // Do a send, or a next if second arg is None. // (This behavior is to match the PEP 380 spec for yield from.) if (Py_IsNone(val)) { return CPyIter_Next(iter); } else { _Py_IDENTIFIER(send); PyObject *name = _PyUnicode_FromId(&PyId_send); /* borrowed */ if (name == NULL) { return NULL; } return PyObject_CallMethodOneArg(iter, name, val); } } // A somewhat hairy implementation of specifically most of the error handling // in `yield from` error handling. The point here is to reduce code size. // // This implements most of the bodies of the `except` blocks in the // pseudocode in PEP 380. // // Returns true (1) if a StopIteration was received and we should return. // Returns false (0) if a value should be yielded. // In both cases the value is stored in outp. // Signals an error (2) if the an exception should be propagated. int CPy_YieldFromErrorHandle(PyObject *iter, PyObject **outp) { _Py_IDENTIFIER(close); _Py_IDENTIFIER(throw); PyObject *exc_type = (PyObject *)Py_TYPE(CPy_ExcState()->exc_value); PyObject *type, *value, *traceback; PyObject *_m; PyObject *res; *outp = NULL; if (PyErr_GivenExceptionMatches(exc_type, PyExc_GeneratorExit)) { _m = _PyObject_GetAttrId(iter, &PyId_close); if (_m) { res = PyObject_CallNoArgs(_m); Py_DECREF(_m); if (!res) return 2; Py_DECREF(res); } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); } else { return 2; } } else { _m = _PyObject_GetAttrId(iter, &PyId_throw); if (_m) { _CPy_GetExcInfo(&type, &value, &traceback); res = PyObject_CallFunctionObjArgs(_m, type, value, traceback, NULL); Py_DECREF(type); Py_DECREF(value); Py_DECREF(traceback); Py_DECREF(_m); if (res) { *outp = res; return 0; } else { res = CPy_FetchStopIterationValue(); if (res) { *outp = res; return 1; } } } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); } else { return 2; } } CPy_Reraise(); return 2; } PyObject *CPy_FetchStopIterationValue(void) { PyObject *val = NULL; _PyGen_FetchStopIterationValue(&val); return val; } static bool _CPy_IsSafeMetaClass(PyTypeObject *metaclass) { // mypyc classes can't work with metaclasses in // general. Through some various nasty hacks we *do* // manage to work with TypingMeta and its friends. if (metaclass == &PyType_Type) return true; PyObject *module = PyObject_GetAttrString((PyObject *)metaclass, "__module__"); if (!module) { PyErr_Clear(); return false; } bool matches = false; if (PyUnicode_CompareWithASCIIString(module, "typing") == 0 && (strcmp(metaclass->tp_name, "TypingMeta") == 0 || strcmp(metaclass->tp_name, "GenericMeta") == 0 || strcmp(metaclass->tp_name, "_ProtocolMeta") == 0)) { matches = true; } else if (PyUnicode_CompareWithASCIIString(module, "typing_extensions") == 0 && strcmp(metaclass->tp_name, "_ProtocolMeta") == 0) { matches = true; } else if (PyUnicode_CompareWithASCIIString(module, "abc") == 0 && strcmp(metaclass->tp_name, "ABCMeta") == 0) { matches = true; } Py_DECREF(module); return matches; } #if CPY_3_13_FEATURES // Adapted from CPython 3.13.0b3 /* Determine the most derived metatype. */ PyObject *CPy_CalculateMetaclass(PyObject *metatype, PyObject *bases) { Py_ssize_t i, nbases; PyTypeObject *winner; PyObject *tmp; PyTypeObject *tmptype; /* Determine the proper metatype to deal with this, and check for metatype conflicts while we're at it. Note that if some other metatype wins to contract, it's possible that its instances are not types. */ nbases = PyTuple_GET_SIZE(bases); winner = (PyTypeObject *)metatype; for (i = 0; i < nbases; i++) { tmp = PyTuple_GET_ITEM(bases, i); tmptype = Py_TYPE(tmp); if (PyType_IsSubtype(winner, tmptype)) continue; if (PyType_IsSubtype(tmptype, winner)) { winner = tmptype; continue; } /* else: */ PyErr_SetString(PyExc_TypeError, "metaclass conflict: " "the metaclass of a derived class " "must be a (non-strict) subclass " "of the metaclasses of all its bases"); return NULL; } return (PyObject *)winner; } #else PyObject *CPy_CalculateMetaclass(PyObject *metatype, PyObject *bases) { return (PyObject *)_PyType_CalculateMetaclass((PyTypeObject *)metatype, bases); } #endif // Create a heap type based on a template non-heap type. // This is super hacky and maybe we should suck it up and use PyType_FromSpec instead. // We allow bases to be NULL to represent just inheriting from object. // We don't support NULL bases and a non-type metaclass. PyObject *CPyType_FromTemplate(PyObject *template, PyObject *orig_bases, PyObject *modname) { PyTypeObject *template_ = (PyTypeObject *)template; PyHeapTypeObject *t = NULL; PyTypeObject *dummy_class = NULL; PyObject *name = NULL; PyObject *bases = NULL; PyObject *slots; // If the type of the class (the metaclass) is NULL, we default it // to being type. (This allows us to avoid needing to initialize // it explicitly on windows.) if (!Py_TYPE(template_)) { Py_SET_TYPE(template_, &PyType_Type); } PyTypeObject *metaclass = Py_TYPE(template_); if (orig_bases) { bases = update_bases(orig_bases); // update_bases doesn't increment the refcount if nothing changes, // so we do it to make sure we have distinct "references" to both if (bases == orig_bases) Py_INCREF(bases); // Find the appropriate metaclass from our base classes. We // care about this because Generic uses a metaclass prior to // Python 3.7. metaclass = (PyTypeObject *)CPy_CalculateMetaclass((PyObject *)metaclass, bases); if (!metaclass) goto error; if (!_CPy_IsSafeMetaClass(metaclass)) { PyErr_SetString(PyExc_TypeError, "mypyc classes can't have a metaclass"); goto error; } } name = PyUnicode_FromString(template_->tp_name); if (!name) goto error; if (template_->tp_doc) { // cpython expects tp_doc to be heap-allocated so convert it here to // avoid segfaults on deallocation. Py_ssize_t size = strlen(template_->tp_doc) + 1; char *doc = (char *)PyMem_Malloc(size); if (!doc) goto error; memcpy(doc, template_->tp_doc, size); template_->tp_doc = doc; } // Allocate the type and then copy the main stuff in. t = (PyHeapTypeObject*)PyType_GenericAlloc(&PyType_Type, 0); if (!t) goto error; memcpy((char *)t + sizeof(PyVarObject), (char *)template_ + sizeof(PyVarObject), sizeof(PyTypeObject) - sizeof(PyVarObject)); if (bases != orig_bases) { if (PyObject_SetAttrString((PyObject *)t, "__orig_bases__", orig_bases) < 0) goto error; } // Having tp_base set is I think required for stuff to get // inherited in PyType_Ready, which we needed for subclassing // BaseException. XXX: Taking the first element is wrong I think though. if (bases) { t->ht_type.tp_base = (PyTypeObject *)PyTuple_GET_ITEM(bases, 0); Py_INCREF((PyObject *)t->ht_type.tp_base); } t->ht_name = name; Py_INCREF(name); t->ht_qualname = name; t->ht_type.tp_bases = bases; // references stolen so NULL these out bases = name = NULL; if (PyType_Ready((PyTypeObject *)t) < 0) goto error; assert(t->ht_type.tp_base != NULL); // XXX: This is a terrible hack to work around a cpython check on // the mro. It was needed for mypy.stats. I need to investigate // what is actually going on here. Py_INCREF(metaclass); Py_SET_TYPE(t, metaclass); if (dummy_class) { if (PyDict_Merge(t->ht_type.tp_dict, dummy_class->tp_dict, 0) != 0) goto error; // This is the *really* tasteless bit. GenericMeta's __new__ // in certain versions of typing sets _gorg to point back to // the class. We need to override it to keep it from pointing // to the proxy. if (PyDict_SetItemString(t->ht_type.tp_dict, "_gorg", (PyObject *)t) < 0) goto error; } // Reject anything that would give us a nontrivial __slots__, // because the layout will conflict slots = PyObject_GetAttrString((PyObject *)t, "__slots__"); if (slots) { // don't fail on an empty __slots__ int is_true = PyObject_IsTrue(slots); Py_DECREF(slots); if (is_true > 0) PyErr_SetString(PyExc_TypeError, "mypyc classes can't have __slots__"); if (is_true != 0) goto error; } else { PyErr_Clear(); } if (PyObject_SetAttrString((PyObject *)t, "__module__", modname) < 0) goto error; if (init_subclass((PyTypeObject *)t, NULL)) goto error; Py_XDECREF(dummy_class); // Unlike the tp_doc slots of most other object, a heap type's tp_doc // must be heap allocated. if (template_->tp_doc) { // Silently truncate the docstring if it contains a null byte Py_ssize_t size = strlen(template_->tp_doc) + 1; char *tp_doc = (char *)PyMem_Malloc(size); if (tp_doc == NULL) { PyErr_NoMemory(); goto error; } memcpy(tp_doc, template_->tp_doc, size); t->ht_type.tp_doc = tp_doc; } #if PY_MINOR_VERSION == 11 // This is a hack. Python 3.11 doesn't include good public APIs to work with managed // dicts, which are the default for heap types. So we try to opt-out until Python 3.12. t->ht_type.tp_flags &= ~Py_TPFLAGS_MANAGED_DICT; #endif return (PyObject *)t; error: Py_XDECREF(t); Py_XDECREF(bases); Py_XDECREF(dummy_class); Py_XDECREF(name); return NULL; } static int _CPy_UpdateObjFromDict(PyObject *obj, PyObject *dict) { Py_ssize_t pos = 0; PyObject *key, *value; while (PyDict_Next(dict, &pos, &key, &value)) { if (PyObject_SetAttr(obj, key, value) != 0) { return -1; } } return 0; } /* Support for our partial built-in support for dataclasses. * * Take a class we want to make a dataclass, remove any descriptors * for annotated attributes, swap in the actual values of the class * variables invoke dataclass, and then restore all of the * descriptors. * * The purpose of all this is that dataclasses uses the values of * class variables to drive which attributes are required and what the * default values/factories are for optional attributes. This means * that the class dict needs to contain those values instead of getset * descriptors for the attributes when we invoke dataclass. * * We need to remove descriptors for attributes even when there is no * default value for them, or else dataclass will think the descriptor * is the default value. We remove only the attributes, since we don't * want dataclasses to try generating functions when they are already * implemented. * * Args: * dataclass_dec: The decorator to apply * tp: The class we are making a dataclass * dict: The dictionary containing values that dataclasses needs * annotations: The type annotation dictionary * dataclass_type: A str object with the return value of util.py:dataclass_type() */ int CPyDataclass_SleightOfHand(PyObject *dataclass_dec, PyObject *tp, PyObject *dict, PyObject *annotations, PyObject *dataclass_type) { PyTypeObject *ttp = (PyTypeObject *)tp; Py_ssize_t pos; PyObject *res = NULL; /* Make a copy of the original class __dict__ */ PyObject *orig_dict = PyDict_Copy(ttp->tp_dict); if (!orig_dict) { goto fail; } /* Delete anything that had an annotation */ pos = 0; PyObject *key; while (PyDict_Next(annotations, &pos, &key, NULL)) { // Check and delete key. Key may be absent from tp for InitVar variables. if (PyObject_HasAttr(tp, key) == 1 && PyObject_DelAttr(tp, key) != 0) { goto fail; } } /* Copy in all the attributes that we want dataclass to see */ if (_CPy_UpdateObjFromDict(tp, dict) != 0) { goto fail; } /* Run the @dataclass descriptor */ res = PyObject_CallOneArg(dataclass_dec, tp); if (!res) { goto fail; } const char *dataclass_type_ptr = PyUnicode_AsUTF8(dataclass_type); if (dataclass_type_ptr == NULL) { goto fail; } if (strcmp(dataclass_type_ptr, "attr") == 0 || strcmp(dataclass_type_ptr, "attr-auto") == 0) { // These attributes are added or modified by @attr.s(slots=True). const char * const keys[] = {"__attrs_attrs__", "__attrs_own_setattr__", "__init__", ""}; for (const char * const *key_iter = keys; **key_iter != '\0'; key_iter++) { PyObject *value = NULL; int rv = PyObject_GetOptionalAttrString(res, *key_iter, &value); if (rv == 1) { PyObject_SetAttrString(tp, *key_iter, value); Py_DECREF(value); } else if (rv == -1) { goto fail; } } } /* Copy back the original contents of the dict */ if (_CPy_UpdateObjFromDict(tp, orig_dict) != 0) { goto fail; } Py_DECREF(res); Py_DECREF(orig_dict); return 1; fail: Py_XDECREF(res); Py_XDECREF(orig_dict); return 0; } // Support for pickling; reusable getstate and setstate functions PyObject * CPyPickle_SetState(PyObject *obj, PyObject *state) { if (_CPy_UpdateObjFromDict(obj, state) != 0) { return NULL; } Py_RETURN_NONE; } PyObject * CPyPickle_GetState(PyObject *obj) { PyObject *attrs = NULL, *state = NULL; attrs = PyObject_GetAttrString((PyObject *)Py_TYPE(obj), "__mypyc_attrs__"); if (!attrs) { goto fail; } if (!PyTuple_Check(attrs)) { PyErr_SetString(PyExc_TypeError, "__mypyc_attrs__ is not a tuple"); goto fail; } state = PyDict_New(); if (!state) { goto fail; } // Collect all the values of attributes in __mypyc_attrs__ // Attributes that are missing we just ignore int i; for (i = 0; i < PyTuple_GET_SIZE(attrs); i++) { PyObject *key = PyTuple_GET_ITEM(attrs, i); PyObject *value = PyObject_GetAttr(obj, key); if (!value) { if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); continue; } goto fail; } int result = PyDict_SetItem(state, key, value); Py_DECREF(value); if (result != 0) { goto fail; } } Py_DECREF(attrs); return state; fail: Py_XDECREF(attrs); Py_XDECREF(state); return NULL; } CPyTagged CPyTagged_Id(PyObject *o) { return CPyTagged_FromVoidPtr(o); } #define MAX_INT_CHARS 22 #define _PyUnicode_LENGTH(op) \ (((PyASCIIObject *)(op))->length) // using snprintf or PyUnicode_FromFormat was way slower than // boxing the int and calling PyObject_Str on it, so we implement our own static int fmt_ssize_t(char *out, Py_ssize_t n) { bool neg = n < 0; if (neg) n = -n; // buf gets filled backward and then we copy it forward char buf[MAX_INT_CHARS]; int i = 0; do { buf[i] = (n % 10) + '0'; n /= 10; i++; } while (n); int len = i; int j = 0; if (neg) { out[j++] = '-'; len++; } for (; j < len; j++, i--) { out[j] = buf[i-1]; } out[j] = '\0'; return len; } static PyObject *CPyTagged_ShortToStr(Py_ssize_t n) { PyObject *obj = PyUnicode_New(MAX_INT_CHARS, 127); if (!obj) return NULL; int len = fmt_ssize_t((char *)PyUnicode_1BYTE_DATA(obj), n); _PyUnicode_LENGTH(obj) = len; return obj; } PyObject *CPyTagged_Str(CPyTagged n) { if (CPyTagged_CheckShort(n)) { return CPyTagged_ShortToStr(CPyTagged_ShortAsSsize_t(n)); } else { return PyObject_Str(CPyTagged_AsObject(n)); } } void CPyDebug_Print(const char *msg) { printf("%s\n", msg); fflush(stdout); } void CPyDebug_PrintObject(PyObject *obj) { // Printing can cause errors. We don't want this to affect any existing // state so we'll save any existing error and restore it at the end. PyObject *exc_type, *exc_value, *exc_traceback; PyErr_Fetch(&exc_type, &exc_value, &exc_traceback); if (PyObject_Print(obj, stderr, 0) == -1) { PyErr_Print(); } else { fprintf(stderr, "\n"); } fflush(stderr); PyErr_Restore(exc_type, exc_value, exc_traceback); } int CPySequence_CheckUnpackCount(PyObject *sequence, Py_ssize_t expected) { Py_ssize_t actual = Py_SIZE(sequence); if (unlikely(actual != expected)) { if (actual < expected) { PyErr_Format(PyExc_ValueError, "not enough values to unpack (expected %zd, got %zd)", expected, actual); } else { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %zd)", expected); } return -1; } return 0; } // Parse an integer (size_t) encoded as a variable-length binary sequence. static const char *parse_int(const char *s, size_t *len) { Py_ssize_t n = 0; while ((unsigned char)*s >= 0x80) { n = (n << 7) + (*s & 0x7f); s++; } n = (n << 7) | *s++; *len = n; return s; } // Initialize static constant array of literal values int CPyStatics_Initialize(PyObject **statics, const char * const *strings, const char * const *bytestrings, const char * const *ints, const double *floats, const double *complex_numbers, const int *tuples, const int *frozensets) { PyObject **result = statics; // Start with some hard-coded values *result++ = Py_None; Py_INCREF(Py_None); *result++ = Py_False; Py_INCREF(Py_False); *result++ = Py_True; Py_INCREF(Py_True); if (strings) { for (; **strings != '\0'; strings++) { size_t num; const char *data = *strings; data = parse_int(data, &num); while (num-- > 0) { size_t len; data = parse_int(data, &len); PyObject *obj = PyUnicode_DecodeUTF8(data, len, "surrogatepass"); if (obj == NULL) { return -1; } PyUnicode_InternInPlace(&obj); *result++ = obj; data += len; } } } if (bytestrings) { for (; **bytestrings != '\0'; bytestrings++) { size_t num; const char *data = *bytestrings; data = parse_int(data, &num); while (num-- > 0) { size_t len; data = parse_int(data, &len); PyObject *obj = PyBytes_FromStringAndSize(data, len); if (obj == NULL) { return -1; } *result++ = obj; data += len; } } } if (ints) { for (; **ints != '\0'; ints++) { size_t num; const char *data = *ints; data = parse_int(data, &num); while (num-- > 0) { char *end; PyObject *obj = PyLong_FromString(data, &end, 10); if (obj == NULL) { return -1; } data = end; data++; *result++ = obj; } } } if (floats) { size_t num = (size_t)*floats++; while (num-- > 0) { PyObject *obj = PyFloat_FromDouble(*floats++); if (obj == NULL) { return -1; } *result++ = obj; } } if (complex_numbers) { size_t num = (size_t)*complex_numbers++; while (num-- > 0) { double real = *complex_numbers++; double imag = *complex_numbers++; PyObject *obj = PyComplex_FromDoubles(real, imag); if (obj == NULL) { return -1; } *result++ = obj; } } if (tuples) { int num = *tuples++; while (num-- > 0) { int num_items = *tuples++; PyObject *obj = PyTuple_New(num_items); if (obj == NULL) { return -1; } int i; for (i = 0; i < num_items; i++) { PyObject *item = statics[*tuples++]; Py_INCREF(item); PyTuple_SET_ITEM(obj, i, item); } *result++ = obj; } } if (frozensets) { int num = *frozensets++; while (num-- > 0) { int num_items = *frozensets++; PyObject *obj = PyFrozenSet_New(NULL); if (obj == NULL) { return -1; } for (int i = 0; i < num_items; i++) { PyObject *item = statics[*frozensets++]; Py_INCREF(item); if (PySet_Add(obj, item) == -1) { return -1; } } *result++ = obj; } } return 0; } // Call super(type(self), self) PyObject * CPy_Super(PyObject *builtins, PyObject *self) { PyObject *super_type = PyObject_GetAttrString(builtins, "super"); if (!super_type) return NULL; PyObject *result = PyObject_CallFunctionObjArgs( super_type, (PyObject*)Py_TYPE(self), self, NULL); Py_DECREF(super_type); return result; } static bool import_single(PyObject *mod_id, PyObject **mod_static, PyObject *globals_id, PyObject *globals_name, PyObject *globals) { if (Py_IsNone(*mod_static)) { CPyModule *mod = PyImport_Import(mod_id); if (mod == NULL) { return false; } *mod_static = mod; } PyObject *mod_dict = PyImport_GetModuleDict(); CPyModule *globals_mod = CPyDict_GetItem(mod_dict, globals_id); if (globals_mod == NULL) { return false; } int ret = CPyDict_SetItem(globals, globals_name, globals_mod); Py_DECREF(globals_mod); if (ret < 0) { return false; } return true; } // Table-driven import helper. See transform_import() in irbuild for the details. bool CPyImport_ImportMany(PyObject *modules, CPyModule **statics[], PyObject *globals, PyObject *tb_path, PyObject *tb_function, Py_ssize_t *tb_lines) { for (Py_ssize_t i = 0; i < PyTuple_GET_SIZE(modules); i++) { PyObject *module = PyTuple_GET_ITEM(modules, i); PyObject *mod_id = PyTuple_GET_ITEM(module, 0); PyObject *globals_id = PyTuple_GET_ITEM(module, 1); PyObject *globals_name = PyTuple_GET_ITEM(module, 2); if (!import_single(mod_id, statics[i], globals_id, globals_name, globals)) { assert(PyErr_Occurred() && "error indicator should be set on bad import!"); PyObject *typ, *val, *tb; PyErr_Fetch(&typ, &val, &tb); const char *path = PyUnicode_AsUTF8(tb_path); if (path == NULL) { path = ""; } const char *function = PyUnicode_AsUTF8(tb_function); if (function == NULL) { function = ""; } PyErr_Restore(typ, val, tb); CPy_AddTraceback(path, function, tb_lines[i], globals); return false; } } return true; } // This helper function is a simplification of cpython/ceval.c/import_from() static PyObject *CPyImport_ImportFrom(PyObject *module, PyObject *package_name, PyObject *import_name, PyObject *as_name) { // check if the imported module has an attribute by that name PyObject *x = PyObject_GetAttr(module, import_name); if (x == NULL) { // if not, attempt to import a submodule with that name PyObject *fullmodname = PyUnicode_FromFormat("%U.%U", package_name, import_name); if (fullmodname == NULL) { goto fail; } // The following code is a simplification of cpython/import.c/PyImport_GetModule() x = PyObject_GetItem(module, fullmodname); Py_DECREF(fullmodname); if (x == NULL) { goto fail; } } return x; fail: PyErr_Clear(); PyObject *package_path = PyModule_GetFilenameObject(module); PyObject *errmsg = PyUnicode_FromFormat("cannot import name %R from %R (%S)", import_name, package_name, package_path); // NULL checks for errmsg and package_name done by PyErr_SetImportError. PyErr_SetImportError(errmsg, package_name, package_path); Py_DECREF(package_path); Py_DECREF(errmsg); return NULL; } PyObject *CPyImport_ImportFromMany(PyObject *mod_id, PyObject *names, PyObject *as_names, PyObject *globals) { PyObject *mod = PyImport_ImportModuleLevelObject(mod_id, globals, 0, names, 0); if (mod == NULL) { return NULL; } for (Py_ssize_t i = 0; i < PyTuple_GET_SIZE(names); i++) { PyObject *name = PyTuple_GET_ITEM(names, i); PyObject *as_name = PyTuple_GET_ITEM(as_names, i); PyObject *obj = CPyImport_ImportFrom(mod, mod_id, name, as_name); if (obj == NULL) { Py_DECREF(mod); return NULL; } int ret = CPyDict_SetItem(globals, as_name, obj); Py_DECREF(obj); if (ret < 0) { Py_DECREF(mod); return NULL; } } return mod; } // From CPython static PyObject * CPy_BinopTypeError(PyObject *left, PyObject *right, const char *op) { PyErr_Format(PyExc_TypeError, "unsupported operand type(s) for %.100s: " "'%.100s' and '%.100s'", op, Py_TYPE(left)->tp_name, Py_TYPE(right)->tp_name); return NULL; } PyObject * CPy_CallReverseOpMethod(PyObject *left, PyObject *right, const char *op, _Py_Identifier *method) { // Look up reverse method PyObject *m = _PyObject_GetAttrId(right, method); if (m == NULL) { // If reverse method not defined, generate TypeError instead AttributeError if (PyErr_ExceptionMatches(PyExc_AttributeError)) { CPy_BinopTypeError(left, right, op); } return NULL; } // Call reverse method PyObject *result = PyObject_CallOneArg(m, left); Py_DECREF(m); return result; } PyObject *CPySingledispatch_RegisterFunction(PyObject *singledispatch_func, PyObject *cls, PyObject *func) { PyObject *registry = PyObject_GetAttrString(singledispatch_func, "registry"); PyObject *register_func = NULL; PyObject *typing = NULL; PyObject *get_type_hints = NULL; PyObject *type_hints = NULL; if (registry == NULL) goto fail; if (func == NULL) { // one argument case if (PyType_Check(cls)) { // passed a class // bind cls to the first argument so that register gets called again with both the // class and the function register_func = PyObject_GetAttrString(singledispatch_func, "register"); if (register_func == NULL) goto fail; return PyMethod_New(register_func, cls); } // passed a function PyObject *annotations = PyFunction_GetAnnotations(cls); const char *invalid_first_arg_msg = "Invalid first argument to `register()`: %R. " "Use either `@register(some_class)` or plain `@register` " "on an annotated function."; if (annotations == NULL) { PyErr_Format(PyExc_TypeError, invalid_first_arg_msg, cls); goto fail; } Py_INCREF(annotations); func = cls; typing = PyImport_ImportModule("typing"); if (typing == NULL) goto fail; get_type_hints = PyObject_GetAttrString(typing, "get_type_hints"); type_hints = PyObject_CallOneArg(get_type_hints, func); PyObject *argname; Py_ssize_t pos = 0; if (!PyDict_Next(type_hints, &pos, &argname, &cls)) { // the functools implementation raises the same type error if annotations is an empty dict PyErr_Format(PyExc_TypeError, invalid_first_arg_msg, cls); goto fail; } if (!PyType_Check(cls)) { const char *invalid_annotation_msg = "Invalid annotation for %R. %R is not a class."; PyErr_Format(PyExc_TypeError, invalid_annotation_msg, argname, cls); goto fail; } } if (PyDict_SetItem(registry, cls, func) == -1) { goto fail; } // clear the cache so we consider the newly added function when dispatching PyObject *dispatch_cache = PyObject_GetAttrString(singledispatch_func, "dispatch_cache"); if (dispatch_cache == NULL) goto fail; PyDict_Clear(dispatch_cache); Py_INCREF(func); return func; fail: Py_XDECREF(registry); Py_XDECREF(register_func); Py_XDECREF(typing); Py_XDECREF(get_type_hints); Py_XDECREF(type_hints); return NULL; } // Adapted from ceval.c GET_AITER PyObject *CPy_GetAIter(PyObject *obj) { unaryfunc getter = NULL; PyTypeObject *type = Py_TYPE(obj); if (type->tp_as_async != NULL) { getter = type->tp_as_async->am_aiter; } if (getter == NULL) { PyErr_Format(PyExc_TypeError, "'async for' requires an object with " "__aiter__ method, got %.100s", type->tp_name); Py_DECREF(obj); return NULL; } PyObject *iter = (*getter)(obj); if (!iter) { return NULL; } if (Py_TYPE(iter)->tp_as_async == NULL || Py_TYPE(iter)->tp_as_async->am_anext == NULL) { PyErr_Format(PyExc_TypeError, "'async for' received an object from __aiter__ " "that does not implement __anext__: %.100s", Py_TYPE(iter)->tp_name); Py_DECREF(iter); return NULL; } return iter; } // Adapted from ceval.c GET_ANEXT PyObject *CPy_GetANext(PyObject *aiter) { unaryfunc getter = NULL; PyObject *next_iter = NULL; PyObject *awaitable = NULL; PyTypeObject *type = Py_TYPE(aiter); if (PyAsyncGen_CheckExact(aiter)) { awaitable = type->tp_as_async->am_anext(aiter); if (awaitable == NULL) { goto error; } } else { if (type->tp_as_async != NULL){ getter = type->tp_as_async->am_anext; } if (getter != NULL) { next_iter = (*getter)(aiter); if (next_iter == NULL) { goto error; } } else { PyErr_Format(PyExc_TypeError, "'async for' requires an iterator with " "__anext__ method, got %.100s", type->tp_name); goto error; } awaitable = CPyCoro_GetAwaitableIter(next_iter); if (awaitable == NULL) { _PyErr_FormatFromCause( PyExc_TypeError, "'async for' received an invalid object " "from __anext__: %.100s", Py_TYPE(next_iter)->tp_name); Py_DECREF(next_iter); goto error; } else { Py_DECREF(next_iter); } } return awaitable; error: return NULL; } #if CPY_3_11_FEATURES // Return obj.__name__ (specialized to type objects, which are the most common target). PyObject *CPy_GetName(PyObject *obj) { if (PyType_Check(obj)) { return PyType_GetName((PyTypeObject *)obj); } _Py_IDENTIFIER(__name__); PyObject *name = _PyUnicode_FromId(&PyId___name__); /* borrowed */ return PyObject_GetAttr(obj, name); } #endif #ifdef MYPYC_LOG_TRACE // This is only compiled in if trace logging is enabled by user static int TraceCounter = 0; static const int TRACE_EVERY_NTH = 1009; // Should be a prime number #define TRACE_LOG_FILE_NAME "mypyc_trace.txt" static FILE *TraceLogFile = NULL; // Log a tracing event on every Nth call void CPyTrace_LogEvent(const char *location, const char *line, const char *op, const char *details) { if (TraceLogFile == NULL) { if ((TraceLogFile = fopen(TRACE_LOG_FILE_NAME, "w")) == NULL) { fprintf(stderr, "error: Could not open trace file %s\n", TRACE_LOG_FILE_NAME); abort(); } } if (TraceCounter == 0) { fprintf(TraceLogFile, "%s:%s:%s:%s\n", location, line, op, details); } TraceCounter++; if (TraceCounter == TRACE_EVERY_NTH) { TraceCounter = 0; } } #endif #if CPY_3_12_FEATURES // Copied from Python 3.12.3, since this struct is internal to CPython. It defines // the structure of typing.TypeAliasType objects. We need it since compute_value is // not part of the public API, and we need to set it to match Python runtime semantics. // // IMPORTANT: This needs to be kept in sync with CPython! typedef struct { PyObject_HEAD PyObject *name; PyObject *type_params; PyObject *compute_value; PyObject *value; PyObject *module; } typealiasobject; void CPy_SetTypeAliasTypeComputeFunction(PyObject *alias, PyObject *compute_value) { typealiasobject *obj = (typealiasobject *)alias; if (obj->value != NULL) { Py_DECREF(obj->value); } obj->value = NULL; Py_INCREF(compute_value); if (obj->compute_value != NULL) { Py_DECREF(obj->compute_value); } obj->compute_value = compute_value; } #endif #if CPY_3_14_FEATURES #include "internal/pycore_object.h" void CPy_SetImmortal(PyObject *obj) { _Py_SetImmortal(obj); } #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/module_shim.tmpl0000644000175100017510000000123615112307767020016 0ustar00runnerrunner#include PyMODINIT_FUNC PyInit_{modname}(void) {{ PyObject *tmp; if (!(tmp = PyImport_ImportModule("{libname}"))) return NULL; PyObject *capsule = PyObject_GetAttrString(tmp, "init_{full_modname}"); Py_DECREF(tmp); if (capsule == NULL) return NULL; void *init_func = PyCapsule_GetPointer(capsule, "{libname}.init_{full_modname}"); Py_DECREF(capsule); if (!init_func) {{ return NULL; }} return ((PyObject *(*)(void))init_func)(); }} // distutils sometimes spuriously tells cl to export CPyInit___init__, // so provide that so it chills out PyMODINIT_FUNC PyInit___init__(void) {{ return PyInit_{modname}(); }} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/module_shim_no_gil_multiphase.tmpl0000644000175100017510000000226515112307767023603 0ustar00runnerrunner#include static int {modname}_exec(PyObject *module) {{ PyObject *tmp; if (!(tmp = PyImport_ImportModule("{libname}"))) return -1; PyObject *capsule = PyObject_GetAttrString(tmp, "exec_{full_modname}"); Py_DECREF(tmp); if (capsule == NULL) return -1; void *exec_func = PyCapsule_GetPointer(capsule, "{libname}.exec_{full_modname}"); Py_DECREF(capsule); if (!exec_func) return -1; if (((int (*)(PyObject *))exec_func)(module) != 0) return -1; return 0; }} static PyModuleDef_Slot {modname}_slots[] = {{ {{Py_mod_exec, {modname}_exec}}, {{Py_mod_multiple_interpreters, Py_MOD_MULTIPLE_INTERPRETERS_NOT_SUPPORTED}}, {{Py_mod_gil, Py_MOD_GIL_NOT_USED}}, {{0, NULL}}, }}; static struct PyModuleDef {modname}_module = {{ PyModuleDef_HEAD_INIT, .m_name = "{modname}", .m_doc = NULL, .m_methods = NULL, .m_size = 0, .m_slots = {modname}_slots, }}; PyMODINIT_FUNC PyInit_{modname}(void) {{ return PyModuleDef_Init(&{modname}_module); }} // distutils sometimes spuriously tells cl to export CPyInit___init__, // so provide that so it chills out PyMODINIT_FUNC PyInit___init__(void) {{ return PyInit_{modname}(); }} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/mypyc_util.h0000644000175100017510000001263115112307767017163 0ustar00runnerrunner#ifndef MYPYC_UTIL_H #define MYPYC_UTIL_H #include #include #include #if defined(__clang__) || defined(__GNUC__) #define likely(x) __builtin_expect((x),1) #define unlikely(x) __builtin_expect((x),0) #define CPy_Unreachable() __builtin_unreachable() #else #define likely(x) (x) #define unlikely(x) (x) #define CPy_Unreachable() abort() #endif #if defined(__clang__) || defined(__GNUC__) #define CPy_NOINLINE __attribute__((noinline)) #elif defined(_MSC_VER) #define CPy_NOINLINE __declspec(noinline) #else #define CPy_NOINLINE #endif #ifndef Py_GIL_DISABLED // Everything is running in the same thread, so no need for thread locals #define CPyThreadLocal #else // 1. Use C11 standard thread_local storage, if available #if defined(__STDC_VERSION__) && __STDC_VERSION__ >= 201112L && !defined(__STDC_NO_THREADS__) #define CPyThreadLocal _Thread_local // 2. Microsoft Visual Studio fallback #elif defined(_MSC_VER) #define CPyThreadLocal __declspec(thread) // 3. GNU thread local storage for GCC/Clang targets that still need it #elif defined(__GNUC__) || defined(__clang__) #define CPyThreadLocal __thread #else #error "Can't define CPyThreadLocal for this compiler/target (consider using a non-free-threaded Python build)" #endif #endif // Py_GIL_DISABLED // INCREF and DECREF that assert the pointer is not NULL. // asserts are disabled in release builds so there shouldn't be a perf hit. // I'm honestly kind of surprised that this isn't done by default. #define CPy_INCREF(p) do { assert(p); Py_INCREF(p); } while (0) #define CPy_DECREF(p) do { assert(p); Py_DECREF(p); } while (0) // Here just for consistency #define CPy_XDECREF(p) Py_XDECREF(p) #ifndef Py_GIL_DISABLED // The *_NO_IMM operations below perform refcount manipulation for // non-immortal objects (Python 3.12 and later). // // Py_INCREF and other CPython operations check for immortality. This // can be expensive when we know that an object cannot be immortal. // // This optimization cannot be performed in free-threaded mode so we // fall back to just calling the normal incref/decref operations. static inline void CPy_INCREF_NO_IMM(PyObject *op) { op->ob_refcnt++; } static inline void CPy_DECREF_NO_IMM(PyObject *op) { if (--op->ob_refcnt == 0) { _Py_Dealloc(op); } } static inline void CPy_XDECREF_NO_IMM(PyObject *op) { if (op != NULL && --op->ob_refcnt == 0) { _Py_Dealloc(op); } } #define CPy_INCREF_NO_IMM(op) CPy_INCREF_NO_IMM((PyObject *)(op)) #define CPy_DECREF_NO_IMM(op) CPy_DECREF_NO_IMM((PyObject *)(op)) #define CPy_XDECREF_NO_IMM(op) CPy_XDECREF_NO_IMM((PyObject *)(op)) #else #define CPy_INCREF_NO_IMM(op) CPy_INCREF(op) #define CPy_DECREF_NO_IMM(op) CPy_DECREF(op) #define CPy_XDECREF_NO_IMM(op) CPy_XDECREF(op) #endif // Tagged integer -- our representation of Python 'int' objects. // Small enough integers are represented as unboxed integers (shifted // left by 1); larger integers (larger than 63 bits on a 64-bit // platform) are stored as a tagged pointer (PyObject *) // representing a Python int object, with the lowest bit set. // Tagged integers are always normalized. A small integer *must not* // have the tag bit set. typedef size_t CPyTagged; typedef size_t CPyPtr; #define CPY_INT_BITS (CHAR_BIT * sizeof(CPyTagged)) #define CPY_TAGGED_MAX (((Py_ssize_t)1 << (CPY_INT_BITS - 2)) - 1) #define CPY_TAGGED_MIN (-((Py_ssize_t)1 << (CPY_INT_BITS - 2))) #define CPY_TAGGED_ABS_MIN (0-(size_t)CPY_TAGGED_MIN) typedef PyObject CPyModule; // Tag bit used for long integers #define CPY_INT_TAG 1 // Error value for signed fixed-width (low-level) integers #define CPY_LL_INT_ERROR -113 // Error value for unsigned fixed-width (low-level) integers #define CPY_LL_UINT_ERROR 239 // Error value for floats #define CPY_FLOAT_ERROR -113.0 typedef void (*CPyVTableItem)(void); static inline CPyTagged CPyTagged_ShortFromInt(int x) { return x << 1; } static inline CPyTagged CPyTagged_ShortFromSsize_t(Py_ssize_t x) { return x << 1; } // Are we targeting Python 3.X or newer? #define CPY_3_11_FEATURES (PY_VERSION_HEX >= 0x030b0000) #define CPY_3_12_FEATURES (PY_VERSION_HEX >= 0x030c0000) #define CPY_3_14_FEATURES (PY_VERSION_HEX >= 0x030e0000) #if CPY_3_12_FEATURES // Same as macros in CPython internal/pycore_long.h, but with a CPY_ prefix #define CPY_NON_SIZE_BITS 3 #define CPY_SIGN_ZERO 1 #define CPY_SIGN_NEGATIVE 2 #define CPY_SIGN_MASK 3 #define CPY_LONG_DIGIT(o, n) ((o)->long_value.ob_digit[n]) // Only available on Python 3.12 and later #define CPY_LONG_TAG(o) ((o)->long_value.lv_tag) #define CPY_LONG_IS_NEGATIVE(o) (((o)->long_value.lv_tag & CPY_SIGN_MASK) == CPY_SIGN_NEGATIVE) // Only available on Python 3.12 and later #define CPY_LONG_SIZE(o) ((o)->long_value.lv_tag >> CPY_NON_SIZE_BITS) // Number of digits; negative for negative ints #define CPY_LONG_SIZE_SIGNED(o) (CPY_LONG_IS_NEGATIVE(o) ? -CPY_LONG_SIZE(o) : CPY_LONG_SIZE(o)) // Number of digits, assuming int is non-negative #define CPY_LONG_SIZE_UNSIGNED(o) CPY_LONG_SIZE(o) #else #define CPY_LONG_DIGIT(o, n) ((o)->ob_digit[n]) #define CPY_LONG_IS_NEGATIVE(o) (((o)->ob_base.ob_size < 0) #define CPY_LONG_SIZE_SIGNED(o) ((o)->ob_base.ob_size) #define CPY_LONG_SIZE_UNSIGNED(o) ((o)->ob_base.ob_size) #endif // Are we targeting Python 3.13 or newer? #define CPY_3_13_FEATURES (PY_VERSION_HEX >= 0x030d0000) // Are we targeting Python 3.14 or newer? #define CPY_3_14_FEATURES (PY_VERSION_HEX >= 0x030e0000) #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/pythoncapi_compat.h0000644000175100017510000021174415112307767020514 0ustar00runnerrunner// Header file providing new C API functions to old Python versions. // // File distributed under the Zero Clause BSD (0BSD) license. // Copyright Contributors to the pythoncapi_compat project. // // Homepage: // https://github.com/python/pythoncapi_compat // // Latest version: // https://raw.githubusercontent.com/python/pythoncapi-compat/main/pythoncapi_compat.h // // SPDX-License-Identifier: 0BSD #ifndef PYTHONCAPI_COMPAT #define PYTHONCAPI_COMPAT #ifdef __cplusplus extern "C" { #endif #include #include // offsetof() // Python 3.11.0b4 added PyFrame_Back() to Python.h #if PY_VERSION_HEX < 0x030b00B4 && !defined(PYPY_VERSION) # include "frameobject.h" // PyFrameObject, PyFrame_GetBack() #endif #if PY_VERSION_HEX < 0x030C00A3 # include // T_SHORT, READONLY #endif #ifndef _Py_CAST # define _Py_CAST(type, expr) ((type)(expr)) #endif // Static inline functions should use _Py_NULL rather than using directly NULL // to prevent C++ compiler warnings. On C23 and newer and on C++11 and newer, // _Py_NULL is defined as nullptr. #ifndef _Py_NULL # if (defined (__STDC_VERSION__) && __STDC_VERSION__ > 201710L) \ || (defined(__cplusplus) && __cplusplus >= 201103) # define _Py_NULL nullptr # else # define _Py_NULL NULL # endif #endif // Cast argument to PyObject* type. #ifndef _PyObject_CAST # define _PyObject_CAST(op) _Py_CAST(PyObject*, op) #endif #ifndef Py_BUILD_ASSERT # define Py_BUILD_ASSERT(cond) \ do { \ (void)sizeof(char [1 - 2 * !(cond)]); \ } while(0) #endif // bpo-42262 added Py_NewRef() to Python 3.10.0a3 #if PY_VERSION_HEX < 0x030A00A3 && !defined(Py_NewRef) static inline PyObject* _Py_NewRef(PyObject *obj) { Py_INCREF(obj); return obj; } #define Py_NewRef(obj) _Py_NewRef(_PyObject_CAST(obj)) #endif // bpo-42262 added Py_XNewRef() to Python 3.10.0a3 #if PY_VERSION_HEX < 0x030A00A3 && !defined(Py_XNewRef) static inline PyObject* _Py_XNewRef(PyObject *obj) { Py_XINCREF(obj); return obj; } #define Py_XNewRef(obj) _Py_XNewRef(_PyObject_CAST(obj)) #endif // bpo-39573 added Py_SET_REFCNT() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 && !defined(Py_SET_REFCNT) static inline void _Py_SET_REFCNT(PyObject *ob, Py_ssize_t refcnt) { ob->ob_refcnt = refcnt; } #define Py_SET_REFCNT(ob, refcnt) _Py_SET_REFCNT(_PyObject_CAST(ob), refcnt) #endif // Py_SETREF() and Py_XSETREF() were added to Python 3.5.2. // It is excluded from the limited C API. #if (PY_VERSION_HEX < 0x03050200 && !defined(Py_SETREF)) && !defined(Py_LIMITED_API) #define Py_SETREF(dst, src) \ do { \ PyObject **_tmp_dst_ptr = _Py_CAST(PyObject**, &(dst)); \ PyObject *_tmp_dst = (*_tmp_dst_ptr); \ *_tmp_dst_ptr = _PyObject_CAST(src); \ Py_DECREF(_tmp_dst); \ } while (0) #define Py_XSETREF(dst, src) \ do { \ PyObject **_tmp_dst_ptr = _Py_CAST(PyObject**, &(dst)); \ PyObject *_tmp_dst = (*_tmp_dst_ptr); \ *_tmp_dst_ptr = _PyObject_CAST(src); \ Py_XDECREF(_tmp_dst); \ } while (0) #endif // bpo-43753 added Py_Is(), Py_IsNone(), Py_IsTrue() and Py_IsFalse() // to Python 3.10.0b1. #if PY_VERSION_HEX < 0x030A00B1 && !defined(Py_Is) # define Py_Is(x, y) ((x) == (y)) #endif #if PY_VERSION_HEX < 0x030A00B1 && !defined(Py_IsNone) # define Py_IsNone(x) Py_Is(x, Py_None) #endif #if (PY_VERSION_HEX < 0x030A00B1 || defined(PYPY_VERSION)) && !defined(Py_IsTrue) # define Py_IsTrue(x) Py_Is(x, Py_True) #endif #if (PY_VERSION_HEX < 0x030A00B1 || defined(PYPY_VERSION)) && !defined(Py_IsFalse) # define Py_IsFalse(x) Py_Is(x, Py_False) #endif // bpo-39573 added Py_SET_TYPE() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 && !defined(Py_SET_TYPE) static inline void _Py_SET_TYPE(PyObject *ob, PyTypeObject *type) { ob->ob_type = type; } #define Py_SET_TYPE(ob, type) _Py_SET_TYPE(_PyObject_CAST(ob), type) #endif // bpo-39573 added Py_SET_SIZE() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 && !defined(Py_SET_SIZE) static inline void _Py_SET_SIZE(PyVarObject *ob, Py_ssize_t size) { ob->ob_size = size; } #define Py_SET_SIZE(ob, size) _Py_SET_SIZE((PyVarObject*)(ob), size) #endif // bpo-40421 added PyFrame_GetCode() to Python 3.9.0b1 #if PY_VERSION_HEX < 0x030900B1 || defined(PYPY_VERSION) static inline PyCodeObject* PyFrame_GetCode(PyFrameObject *frame) { assert(frame != _Py_NULL); assert(frame->f_code != _Py_NULL); return _Py_CAST(PyCodeObject*, Py_NewRef(frame->f_code)); } #endif static inline PyCodeObject* _PyFrame_GetCodeBorrow(PyFrameObject *frame) { PyCodeObject *code = PyFrame_GetCode(frame); Py_DECREF(code); return code; } // bpo-40421 added PyFrame_GetBack() to Python 3.9.0b1 #if PY_VERSION_HEX < 0x030900B1 && !defined(PYPY_VERSION) static inline PyFrameObject* PyFrame_GetBack(PyFrameObject *frame) { assert(frame != _Py_NULL); return _Py_CAST(PyFrameObject*, Py_XNewRef(frame->f_back)); } #endif #if !defined(PYPY_VERSION) static inline PyFrameObject* _PyFrame_GetBackBorrow(PyFrameObject *frame) { PyFrameObject *back = PyFrame_GetBack(frame); Py_XDECREF(back); return back; } #endif // bpo-40421 added PyFrame_GetLocals() to Python 3.11.0a7 #if PY_VERSION_HEX < 0x030B00A7 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetLocals(PyFrameObject *frame) { #if PY_VERSION_HEX >= 0x030400B1 if (PyFrame_FastToLocalsWithError(frame) < 0) { return NULL; } #else PyFrame_FastToLocals(frame); #endif return Py_NewRef(frame->f_locals); } #endif // bpo-40421 added PyFrame_GetGlobals() to Python 3.11.0a7 #if PY_VERSION_HEX < 0x030B00A7 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetGlobals(PyFrameObject *frame) { return Py_NewRef(frame->f_globals); } #endif // bpo-40421 added PyFrame_GetBuiltins() to Python 3.11.0a7 #if PY_VERSION_HEX < 0x030B00A7 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetBuiltins(PyFrameObject *frame) { return Py_NewRef(frame->f_builtins); } #endif // bpo-40421 added PyFrame_GetLasti() to Python 3.11.0b1 #if PY_VERSION_HEX < 0x030B00B1 && !defined(PYPY_VERSION) static inline int PyFrame_GetLasti(PyFrameObject *frame) { #if PY_VERSION_HEX >= 0x030A00A7 // bpo-27129: Since Python 3.10.0a7, f_lasti is an instruction offset, // not a bytes offset anymore. Python uses 16-bit "wordcode" (2 bytes) // instructions. if (frame->f_lasti < 0) { return -1; } return frame->f_lasti * 2; #else return frame->f_lasti; #endif } #endif // gh-91248 added PyFrame_GetVar() to Python 3.12.0a2 #if PY_VERSION_HEX < 0x030C00A2 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetVar(PyFrameObject *frame, PyObject *name) { PyObject *locals, *value; locals = PyFrame_GetLocals(frame); if (locals == NULL) { return NULL; } #if PY_VERSION_HEX >= 0x03000000 value = PyDict_GetItemWithError(locals, name); #else value = _PyDict_GetItemWithError(locals, name); #endif Py_DECREF(locals); if (value == NULL) { if (PyErr_Occurred()) { return NULL; } #if PY_VERSION_HEX >= 0x03000000 PyErr_Format(PyExc_NameError, "variable %R does not exist", name); #else PyErr_SetString(PyExc_NameError, "variable does not exist"); #endif return NULL; } return Py_NewRef(value); } #endif // gh-91248 added PyFrame_GetVarString() to Python 3.12.0a2 #if PY_VERSION_HEX < 0x030C00A2 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetVarString(PyFrameObject *frame, const char *name) { PyObject *name_obj, *value; #if PY_VERSION_HEX >= 0x03000000 name_obj = PyUnicode_FromString(name); #else name_obj = PyString_FromString(name); #endif if (name_obj == NULL) { return NULL; } value = PyFrame_GetVar(frame, name_obj); Py_DECREF(name_obj); return value; } #endif // bpo-39947 added PyThreadState_GetInterpreter() to Python 3.9.0a5 #if PY_VERSION_HEX < 0x030900A5 || (defined(PYPY_VERSION) && PY_VERSION_HEX < 0x030B0000) static inline PyInterpreterState * PyThreadState_GetInterpreter(PyThreadState *tstate) { assert(tstate != _Py_NULL); return tstate->interp; } #endif // bpo-40429 added PyThreadState_GetFrame() to Python 3.9.0b1 #if PY_VERSION_HEX < 0x030900B1 && !defined(PYPY_VERSION) static inline PyFrameObject* PyThreadState_GetFrame(PyThreadState *tstate) { assert(tstate != _Py_NULL); return _Py_CAST(PyFrameObject *, Py_XNewRef(tstate->frame)); } #endif #if !defined(PYPY_VERSION) static inline PyFrameObject* _PyThreadState_GetFrameBorrow(PyThreadState *tstate) { PyFrameObject *frame = PyThreadState_GetFrame(tstate); Py_XDECREF(frame); return frame; } #endif // bpo-39947 added PyInterpreterState_Get() to Python 3.9.0a5 #if PY_VERSION_HEX < 0x030900A5 || defined(PYPY_VERSION) static inline PyInterpreterState* PyInterpreterState_Get(void) { PyThreadState *tstate; PyInterpreterState *interp; tstate = PyThreadState_GET(); if (tstate == _Py_NULL) { Py_FatalError("GIL released (tstate is NULL)"); } interp = tstate->interp; if (interp == _Py_NULL) { Py_FatalError("no current interpreter"); } return interp; } #endif // bpo-39947 added PyInterpreterState_Get() to Python 3.9.0a6 #if 0x030700A1 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x030900A6 && !defined(PYPY_VERSION) static inline uint64_t PyThreadState_GetID(PyThreadState *tstate) { assert(tstate != _Py_NULL); return tstate->id; } #endif // bpo-43760 added PyThreadState_EnterTracing() to Python 3.11.0a2 #if PY_VERSION_HEX < 0x030B00A2 && !defined(PYPY_VERSION) static inline void PyThreadState_EnterTracing(PyThreadState *tstate) { tstate->tracing++; #if PY_VERSION_HEX >= 0x030A00A1 tstate->cframe->use_tracing = 0; #else tstate->use_tracing = 0; #endif } #endif // bpo-43760 added PyThreadState_LeaveTracing() to Python 3.11.0a2 #if PY_VERSION_HEX < 0x030B00A2 && !defined(PYPY_VERSION) static inline void PyThreadState_LeaveTracing(PyThreadState *tstate) { int use_tracing = (tstate->c_tracefunc != _Py_NULL || tstate->c_profilefunc != _Py_NULL); tstate->tracing--; #if PY_VERSION_HEX >= 0x030A00A1 tstate->cframe->use_tracing = use_tracing; #else tstate->use_tracing = use_tracing; #endif } #endif // bpo-37194 added PyObject_CallNoArgs() to Python 3.9.0a1 // PyObject_CallNoArgs() added to PyPy 3.9.16-v7.3.11 #if !defined(PyObject_CallNoArgs) && PY_VERSION_HEX < 0x030900A1 static inline PyObject* PyObject_CallNoArgs(PyObject *func) { return PyObject_CallFunctionObjArgs(func, NULL); } #endif // bpo-39245 made PyObject_CallOneArg() public (previously called // _PyObject_CallOneArg) in Python 3.9.0a4 // PyObject_CallOneArg() added to PyPy 3.9.16-v7.3.11 #if !defined(PyObject_CallOneArg) && PY_VERSION_HEX < 0x030900A4 static inline PyObject* PyObject_CallOneArg(PyObject *func, PyObject *arg) { return PyObject_CallFunctionObjArgs(func, arg, NULL); } #endif // bpo-1635741 added PyModule_AddObjectRef() to Python 3.10.0a3 #if PY_VERSION_HEX < 0x030A00A3 static inline int PyModule_AddObjectRef(PyObject *module, const char *name, PyObject *value) { int res; if (!value && !PyErr_Occurred()) { // PyModule_AddObject() raises TypeError in this case PyErr_SetString(PyExc_SystemError, "PyModule_AddObjectRef() must be called " "with an exception raised if value is NULL"); return -1; } Py_XINCREF(value); res = PyModule_AddObject(module, name, value); if (res < 0) { Py_XDECREF(value); } return res; } #endif // bpo-40024 added PyModule_AddType() to Python 3.9.0a5 #if PY_VERSION_HEX < 0x030900A5 static inline int PyModule_AddType(PyObject *module, PyTypeObject *type) { const char *name, *dot; if (PyType_Ready(type) < 0) { return -1; } // inline _PyType_Name() name = type->tp_name; assert(name != _Py_NULL); dot = strrchr(name, '.'); if (dot != _Py_NULL) { name = dot + 1; } return PyModule_AddObjectRef(module, name, _PyObject_CAST(type)); } #endif // bpo-40241 added PyObject_GC_IsTracked() to Python 3.9.0a6. // bpo-4688 added _PyObject_GC_IS_TRACKED() to Python 2.7.0a2. #if PY_VERSION_HEX < 0x030900A6 && !defined(PYPY_VERSION) static inline int PyObject_GC_IsTracked(PyObject* obj) { return (PyObject_IS_GC(obj) && _PyObject_GC_IS_TRACKED(obj)); } #endif // bpo-40241 added PyObject_GC_IsFinalized() to Python 3.9.0a6. // bpo-18112 added _PyGCHead_FINALIZED() to Python 3.4.0 final. #if PY_VERSION_HEX < 0x030900A6 && PY_VERSION_HEX >= 0x030400F0 && !defined(PYPY_VERSION) static inline int PyObject_GC_IsFinalized(PyObject *obj) { PyGC_Head *gc = _Py_CAST(PyGC_Head*, obj) - 1; return (PyObject_IS_GC(obj) && _PyGCHead_FINALIZED(gc)); } #endif // bpo-39573 added Py_IS_TYPE() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 && !defined(Py_IS_TYPE) static inline int _Py_IS_TYPE(PyObject *ob, PyTypeObject *type) { return Py_TYPE(ob) == type; } #define Py_IS_TYPE(ob, type) _Py_IS_TYPE(_PyObject_CAST(ob), type) #endif // bpo-46906 added PyFloat_Pack2() and PyFloat_Unpack2() to Python 3.11a7. // bpo-11734 added _PyFloat_Pack2() and _PyFloat_Unpack2() to Python 3.6.0b1. // Python 3.11a2 moved _PyFloat_Pack2() and _PyFloat_Unpack2() to the internal // C API: Python 3.11a2-3.11a6 versions are not supported. #if 0x030600B1 <= PY_VERSION_HEX && PY_VERSION_HEX <= 0x030B00A1 && !defined(PYPY_VERSION) static inline int PyFloat_Pack2(double x, char *p, int le) { return _PyFloat_Pack2(x, (unsigned char*)p, le); } static inline double PyFloat_Unpack2(const char *p, int le) { return _PyFloat_Unpack2((const unsigned char *)p, le); } #endif // bpo-46906 added PyFloat_Pack4(), PyFloat_Pack8(), PyFloat_Unpack4() and // PyFloat_Unpack8() to Python 3.11a7. // Python 3.11a2 moved _PyFloat_Pack4(), _PyFloat_Pack8(), _PyFloat_Unpack4() // and _PyFloat_Unpack8() to the internal C API: Python 3.11a2-3.11a6 versions // are not supported. #if PY_VERSION_HEX <= 0x030B00A1 && !defined(PYPY_VERSION) static inline int PyFloat_Pack4(double x, char *p, int le) { return _PyFloat_Pack4(x, (unsigned char*)p, le); } static inline int PyFloat_Pack8(double x, char *p, int le) { return _PyFloat_Pack8(x, (unsigned char*)p, le); } static inline double PyFloat_Unpack4(const char *p, int le) { return _PyFloat_Unpack4((const unsigned char *)p, le); } static inline double PyFloat_Unpack8(const char *p, int le) { return _PyFloat_Unpack8((const unsigned char *)p, le); } #endif // gh-92154 added PyCode_GetCode() to Python 3.11.0b1 #if PY_VERSION_HEX < 0x030B00B1 && !defined(PYPY_VERSION) static inline PyObject* PyCode_GetCode(PyCodeObject *code) { return Py_NewRef(code->co_code); } #endif // gh-95008 added PyCode_GetVarnames() to Python 3.11.0rc1 #if PY_VERSION_HEX < 0x030B00C1 && !defined(PYPY_VERSION) static inline PyObject* PyCode_GetVarnames(PyCodeObject *code) { return Py_NewRef(code->co_varnames); } #endif // gh-95008 added PyCode_GetFreevars() to Python 3.11.0rc1 #if PY_VERSION_HEX < 0x030B00C1 && !defined(PYPY_VERSION) static inline PyObject* PyCode_GetFreevars(PyCodeObject *code) { return Py_NewRef(code->co_freevars); } #endif // gh-95008 added PyCode_GetCellvars() to Python 3.11.0rc1 #if PY_VERSION_HEX < 0x030B00C1 && !defined(PYPY_VERSION) static inline PyObject* PyCode_GetCellvars(PyCodeObject *code) { return Py_NewRef(code->co_cellvars); } #endif // Py_UNUSED() was added to Python 3.4.0b2. #if PY_VERSION_HEX < 0x030400B2 && !defined(Py_UNUSED) # if defined(__GNUC__) || defined(__clang__) # define Py_UNUSED(name) _unused_ ## name __attribute__((unused)) # else # define Py_UNUSED(name) _unused_ ## name # endif #endif // gh-105922 added PyImport_AddModuleRef() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A0 static inline PyObject* PyImport_AddModuleRef(const char *name) { return Py_XNewRef(PyImport_AddModule(name)); } #endif // gh-105927 added PyWeakref_GetRef() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D0000 static inline int PyWeakref_GetRef(PyObject *ref, PyObject **pobj) { PyObject *obj; if (ref != NULL && !PyWeakref_Check(ref)) { *pobj = NULL; PyErr_SetString(PyExc_TypeError, "expected a weakref"); return -1; } obj = PyWeakref_GetObject(ref); if (obj == NULL) { // SystemError if ref is NULL *pobj = NULL; return -1; } if (obj == Py_None) { *pobj = NULL; return 0; } *pobj = Py_NewRef(obj); return 1; } #endif // bpo-36974 added PY_VECTORCALL_ARGUMENTS_OFFSET to Python 3.8b1 #ifndef PY_VECTORCALL_ARGUMENTS_OFFSET # define PY_VECTORCALL_ARGUMENTS_OFFSET (_Py_CAST(size_t, 1) << (8 * sizeof(size_t) - 1)) #endif // bpo-36974 added PyVectorcall_NARGS() to Python 3.8b1 #if PY_VERSION_HEX < 0x030800B1 static inline Py_ssize_t PyVectorcall_NARGS(size_t n) { return n & ~PY_VECTORCALL_ARGUMENTS_OFFSET; } #endif // gh-105922 added PyObject_Vectorcall() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 static inline PyObject* PyObject_Vectorcall(PyObject *callable, PyObject *const *args, size_t nargsf, PyObject *kwnames) { #if PY_VERSION_HEX >= 0x030800B1 && !defined(PYPY_VERSION) // bpo-36974 added _PyObject_Vectorcall() to Python 3.8.0b1 return _PyObject_Vectorcall(callable, args, nargsf, kwnames); #else PyObject *posargs = NULL, *kwargs = NULL; PyObject *res; Py_ssize_t nposargs, nkwargs, i; if (nargsf != 0 && args == NULL) { PyErr_BadInternalCall(); goto error; } if (kwnames != NULL && !PyTuple_Check(kwnames)) { PyErr_BadInternalCall(); goto error; } nposargs = (Py_ssize_t)PyVectorcall_NARGS(nargsf); if (kwnames) { nkwargs = PyTuple_GET_SIZE(kwnames); } else { nkwargs = 0; } posargs = PyTuple_New(nposargs); if (posargs == NULL) { goto error; } if (nposargs) { for (i=0; i < nposargs; i++) { PyTuple_SET_ITEM(posargs, i, Py_NewRef(*args)); args++; } } if (nkwargs) { kwargs = PyDict_New(); if (kwargs == NULL) { goto error; } for (i = 0; i < nkwargs; i++) { PyObject *key = PyTuple_GET_ITEM(kwnames, i); PyObject *value = *args; args++; if (PyDict_SetItem(kwargs, key, value) < 0) { goto error; } } } else { kwargs = NULL; } res = PyObject_Call(callable, posargs, kwargs); Py_DECREF(posargs); Py_XDECREF(kwargs); return res; error: Py_DECREF(posargs); Py_XDECREF(kwargs); return NULL; #endif } #endif // gh-106521 added PyObject_GetOptionalAttr() and // PyObject_GetOptionalAttrString() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyObject_GetOptionalAttr(PyObject *obj, PyObject *attr_name, PyObject **result) { // bpo-32571 added _PyObject_LookupAttr() to Python 3.7.0b1 #if PY_VERSION_HEX >= 0x030700B1 && !defined(PYPY_VERSION) return _PyObject_LookupAttr(obj, attr_name, result); #else *result = PyObject_GetAttr(obj, attr_name); if (*result != NULL) { return 1; } if (!PyErr_Occurred()) { return 0; } if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); return 0; } return -1; #endif } static inline int PyObject_GetOptionalAttrString(PyObject *obj, const char *attr_name, PyObject **result) { PyObject *name_obj; int rc; #if PY_VERSION_HEX >= 0x03000000 name_obj = PyUnicode_FromString(attr_name); #else name_obj = PyString_FromString(attr_name); #endif if (name_obj == NULL) { *result = NULL; return -1; } rc = PyObject_GetOptionalAttr(obj, name_obj, result); Py_DECREF(name_obj); return rc; } #endif // gh-106307 added PyObject_GetOptionalAttr() and // PyMapping_GetOptionalItemString() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyMapping_GetOptionalItem(PyObject *obj, PyObject *key, PyObject **result) { *result = PyObject_GetItem(obj, key); if (*result) { return 1; } if (!PyErr_ExceptionMatches(PyExc_KeyError)) { return -1; } PyErr_Clear(); return 0; } static inline int PyMapping_GetOptionalItemString(PyObject *obj, const char *key, PyObject **result) { PyObject *key_obj; int rc; #if PY_VERSION_HEX >= 0x03000000 key_obj = PyUnicode_FromString(key); #else key_obj = PyString_FromString(key); #endif if (key_obj == NULL) { *result = NULL; return -1; } rc = PyMapping_GetOptionalItem(obj, key_obj, result); Py_DECREF(key_obj); return rc; } #endif // gh-108511 added PyMapping_HasKeyWithError() and // PyMapping_HasKeyStringWithError() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyMapping_HasKeyWithError(PyObject *obj, PyObject *key) { PyObject *res; int rc = PyMapping_GetOptionalItem(obj, key, &res); Py_XDECREF(res); return rc; } static inline int PyMapping_HasKeyStringWithError(PyObject *obj, const char *key) { PyObject *res; int rc = PyMapping_GetOptionalItemString(obj, key, &res); Py_XDECREF(res); return rc; } #endif // gh-108511 added PyObject_HasAttrWithError() and // PyObject_HasAttrStringWithError() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyObject_HasAttrWithError(PyObject *obj, PyObject *attr) { PyObject *res; int rc = PyObject_GetOptionalAttr(obj, attr, &res); Py_XDECREF(res); return rc; } static inline int PyObject_HasAttrStringWithError(PyObject *obj, const char *attr) { PyObject *res; int rc = PyObject_GetOptionalAttrString(obj, attr, &res); Py_XDECREF(res); return rc; } #endif // gh-106004 added PyDict_GetItemRef() and PyDict_GetItemStringRef() // to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyDict_GetItemRef(PyObject *mp, PyObject *key, PyObject **result) { #if PY_VERSION_HEX >= 0x03000000 PyObject *item = PyDict_GetItemWithError(mp, key); #else PyObject *item = _PyDict_GetItemWithError(mp, key); #endif if (item != NULL) { *result = Py_NewRef(item); return 1; // found } if (!PyErr_Occurred()) { *result = NULL; return 0; // not found } *result = NULL; return -1; } static inline int PyDict_GetItemStringRef(PyObject *mp, const char *key, PyObject **result) { int res; #if PY_VERSION_HEX >= 0x03000000 PyObject *key_obj = PyUnicode_FromString(key); #else PyObject *key_obj = PyString_FromString(key); #endif if (key_obj == NULL) { *result = NULL; return -1; } res = PyDict_GetItemRef(mp, key_obj, result); Py_DECREF(key_obj); return res; } #endif // gh-106307 added PyModule_Add() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyModule_Add(PyObject *mod, const char *name, PyObject *value) { int res = PyModule_AddObjectRef(mod, name, value); Py_XDECREF(value); return res; } #endif // gh-108014 added Py_IsFinalizing() to Python 3.13.0a1 // bpo-1856 added _Py_Finalizing to Python 3.2.1b1. // _Py_IsFinalizing() was added to PyPy 7.3.0. #if (0x030201B1 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x030D00A1) \ && (!defined(PYPY_VERSION_NUM) || PYPY_VERSION_NUM >= 0x7030000) static inline int Py_IsFinalizing(void) { #if PY_VERSION_HEX >= 0x030700A1 // _Py_IsFinalizing() was added to Python 3.7.0a1. return _Py_IsFinalizing(); #else return (_Py_Finalizing != NULL); #endif } #endif // gh-108323 added PyDict_ContainsString() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyDict_ContainsString(PyObject *op, const char *key) { PyObject *key_obj = PyUnicode_FromString(key); if (key_obj == NULL) { return -1; } int res = PyDict_Contains(op, key_obj); Py_DECREF(key_obj); return res; } #endif // gh-108445 added PyLong_AsInt() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyLong_AsInt(PyObject *obj) { #ifdef PYPY_VERSION long value = PyLong_AsLong(obj); if (value == -1 && PyErr_Occurred()) { return -1; } if (value < (long)INT_MIN || (long)INT_MAX < value) { PyErr_SetString(PyExc_OverflowError, "Python int too large to convert to C int"); return -1; } return (int)value; #else return _PyLong_AsInt(obj); #endif } #endif // gh-107073 added PyObject_VisitManagedDict() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyObject_VisitManagedDict(PyObject *obj, visitproc visit, void *arg) { PyObject **dict = _PyObject_GetDictPtr(obj); if (dict == NULL || *dict == NULL) { return -1; } Py_VISIT(*dict); return 0; } static inline void PyObject_ClearManagedDict(PyObject *obj) { PyObject **dict = _PyObject_GetDictPtr(obj); if (dict == NULL || *dict == NULL) { return; } Py_CLEAR(*dict); } #endif // gh-108867 added PyThreadState_GetUnchecked() to Python 3.13.0a1 // Python 3.5.2 added _PyThreadState_UncheckedGet(). #if PY_VERSION_HEX >= 0x03050200 && PY_VERSION_HEX < 0x030D00A1 static inline PyThreadState* PyThreadState_GetUnchecked(void) { return _PyThreadState_UncheckedGet(); } #endif // gh-110289 added PyUnicode_EqualToUTF8() and PyUnicode_EqualToUTF8AndSize() // to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyUnicode_EqualToUTF8AndSize(PyObject *unicode, const char *str, Py_ssize_t str_len) { Py_ssize_t len; const void *utf8; PyObject *exc_type, *exc_value, *exc_tb; int res; // API cannot report errors so save/restore the exception PyErr_Fetch(&exc_type, &exc_value, &exc_tb); // Python 3.3.0a1 added PyUnicode_AsUTF8AndSize() #if PY_VERSION_HEX >= 0x030300A1 if (PyUnicode_IS_ASCII(unicode)) { utf8 = PyUnicode_DATA(unicode); len = PyUnicode_GET_LENGTH(unicode); } else { utf8 = PyUnicode_AsUTF8AndSize(unicode, &len); if (utf8 == NULL) { // Memory allocation failure. The API cannot report error, // so ignore the exception and return 0. res = 0; goto done; } } if (len != str_len) { res = 0; goto done; } res = (memcmp(utf8, str, (size_t)len) == 0); #else PyObject *bytes = PyUnicode_AsUTF8String(unicode); if (bytes == NULL) { // Memory allocation failure. The API cannot report error, // so ignore the exception and return 0. res = 0; goto done; } #if PY_VERSION_HEX >= 0x03000000 len = PyBytes_GET_SIZE(bytes); utf8 = PyBytes_AS_STRING(bytes); #else len = PyString_GET_SIZE(bytes); utf8 = PyString_AS_STRING(bytes); #endif if (len != str_len) { Py_DECREF(bytes); res = 0; goto done; } res = (memcmp(utf8, str, (size_t)len) == 0); Py_DECREF(bytes); #endif done: PyErr_Restore(exc_type, exc_value, exc_tb); return res; } static inline int PyUnicode_EqualToUTF8(PyObject *unicode, const char *str) { return PyUnicode_EqualToUTF8AndSize(unicode, str, (Py_ssize_t)strlen(str)); } #endif // gh-111138 added PyList_Extend() and PyList_Clear() to Python 3.13.0a2 #if PY_VERSION_HEX < 0x030D00A2 static inline int PyList_Extend(PyObject *list, PyObject *iterable) { return PyList_SetSlice(list, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, iterable); } static inline int PyList_Clear(PyObject *list) { return PyList_SetSlice(list, 0, PY_SSIZE_T_MAX, NULL); } #endif // gh-111262 added PyDict_Pop() and PyDict_PopString() to Python 3.13.0a2 #if PY_VERSION_HEX < 0x030D00A2 static inline int PyDict_Pop(PyObject *dict, PyObject *key, PyObject **result) { PyObject *value; if (!PyDict_Check(dict)) { PyErr_BadInternalCall(); if (result) { *result = NULL; } return -1; } // bpo-16991 added _PyDict_Pop() to Python 3.5.0b2. // Python 3.6.0b3 changed _PyDict_Pop() first argument type to PyObject*. // Python 3.13.0a1 removed _PyDict_Pop(). #if defined(PYPY_VERSION) || PY_VERSION_HEX < 0x030500b2 || PY_VERSION_HEX >= 0x030D0000 value = PyObject_CallMethod(dict, "pop", "O", key); #elif PY_VERSION_HEX < 0x030600b3 value = _PyDict_Pop(_Py_CAST(PyDictObject*, dict), key, NULL); #else value = _PyDict_Pop(dict, key, NULL); #endif if (value == NULL) { if (result) { *result = NULL; } if (PyErr_Occurred() && !PyErr_ExceptionMatches(PyExc_KeyError)) { return -1; } PyErr_Clear(); return 0; } if (result) { *result = value; } else { Py_DECREF(value); } return 1; } static inline int PyDict_PopString(PyObject *dict, const char *key, PyObject **result) { PyObject *key_obj = PyUnicode_FromString(key); if (key_obj == NULL) { if (result != NULL) { *result = NULL; } return -1; } int res = PyDict_Pop(dict, key_obj, result); Py_DECREF(key_obj); return res; } #endif #if PY_VERSION_HEX < 0x030200A4 // Python 3.2.0a4 added Py_hash_t type typedef Py_ssize_t Py_hash_t; #endif // gh-111545 added Py_HashPointer() to Python 3.13.0a3 #if PY_VERSION_HEX < 0x030D00A3 static inline Py_hash_t Py_HashPointer(const void *ptr) { #if PY_VERSION_HEX >= 0x030900A4 && !defined(PYPY_VERSION) return _Py_HashPointer(ptr); #else return _Py_HashPointer(_Py_CAST(void*, ptr)); #endif } #endif // Python 3.13a4 added a PyTime API. // Use the private API added to Python 3.5. #if PY_VERSION_HEX < 0x030D00A4 && PY_VERSION_HEX >= 0x03050000 typedef _PyTime_t PyTime_t; #define PyTime_MIN _PyTime_MIN #define PyTime_MAX _PyTime_MAX static inline double PyTime_AsSecondsDouble(PyTime_t t) { return _PyTime_AsSecondsDouble(t); } static inline int PyTime_Monotonic(PyTime_t *result) { return _PyTime_GetMonotonicClockWithInfo(result, NULL); } static inline int PyTime_Time(PyTime_t *result) { return _PyTime_GetSystemClockWithInfo(result, NULL); } static inline int PyTime_PerfCounter(PyTime_t *result) { #if PY_VERSION_HEX >= 0x03070000 && !defined(PYPY_VERSION) return _PyTime_GetPerfCounterWithInfo(result, NULL); #elif PY_VERSION_HEX >= 0x03070000 // Call time.perf_counter_ns() and convert Python int object to PyTime_t. // Cache time.perf_counter_ns() function for best performance. static PyObject *func = NULL; if (func == NULL) { PyObject *mod = PyImport_ImportModule("time"); if (mod == NULL) { return -1; } func = PyObject_GetAttrString(mod, "perf_counter_ns"); Py_DECREF(mod); if (func == NULL) { return -1; } } PyObject *res = PyObject_CallNoArgs(func); if (res == NULL) { return -1; } long long value = PyLong_AsLongLong(res); Py_DECREF(res); if (value == -1 && PyErr_Occurred()) { return -1; } Py_BUILD_ASSERT(sizeof(value) >= sizeof(PyTime_t)); *result = (PyTime_t)value; return 0; #else // Call time.perf_counter() and convert C double to PyTime_t. // Cache time.perf_counter() function for best performance. static PyObject *func = NULL; if (func == NULL) { PyObject *mod = PyImport_ImportModule("time"); if (mod == NULL) { return -1; } func = PyObject_GetAttrString(mod, "perf_counter"); Py_DECREF(mod); if (func == NULL) { return -1; } } PyObject *res = PyObject_CallNoArgs(func); if (res == NULL) { return -1; } double d = PyFloat_AsDouble(res); Py_DECREF(res); if (d == -1.0 && PyErr_Occurred()) { return -1; } // Avoid floor() to avoid having to link to libm *result = (PyTime_t)(d * 1e9); return 0; #endif } #endif // gh-111389 added hash constants to Python 3.13.0a5. These constants were // added first as private macros to Python 3.4.0b1 and PyPy 7.3.8. #if (!defined(PyHASH_BITS) \ && ((!defined(PYPY_VERSION) && PY_VERSION_HEX >= 0x030400B1) \ || (defined(PYPY_VERSION) && PY_VERSION_HEX >= 0x03070000 \ && PYPY_VERSION_NUM >= 0x07030800))) # define PyHASH_BITS _PyHASH_BITS # define PyHASH_MODULUS _PyHASH_MODULUS # define PyHASH_INF _PyHASH_INF # define PyHASH_IMAG _PyHASH_IMAG #endif // gh-111545 added Py_GetConstant() and Py_GetConstantBorrowed() // to Python 3.13.0a6 #if PY_VERSION_HEX < 0x030D00A6 && !defined(Py_CONSTANT_NONE) #define Py_CONSTANT_NONE 0 #define Py_CONSTANT_FALSE 1 #define Py_CONSTANT_TRUE 2 #define Py_CONSTANT_ELLIPSIS 3 #define Py_CONSTANT_NOT_IMPLEMENTED 4 #define Py_CONSTANT_ZERO 5 #define Py_CONSTANT_ONE 6 #define Py_CONSTANT_EMPTY_STR 7 #define Py_CONSTANT_EMPTY_BYTES 8 #define Py_CONSTANT_EMPTY_TUPLE 9 static inline PyObject* Py_GetConstant(unsigned int constant_id) { static PyObject* constants[Py_CONSTANT_EMPTY_TUPLE + 1] = {NULL}; if (constants[Py_CONSTANT_NONE] == NULL) { constants[Py_CONSTANT_NONE] = Py_None; constants[Py_CONSTANT_FALSE] = Py_False; constants[Py_CONSTANT_TRUE] = Py_True; constants[Py_CONSTANT_ELLIPSIS] = Py_Ellipsis; constants[Py_CONSTANT_NOT_IMPLEMENTED] = Py_NotImplemented; constants[Py_CONSTANT_ZERO] = PyLong_FromLong(0); if (constants[Py_CONSTANT_ZERO] == NULL) { goto fatal_error; } constants[Py_CONSTANT_ONE] = PyLong_FromLong(1); if (constants[Py_CONSTANT_ONE] == NULL) { goto fatal_error; } constants[Py_CONSTANT_EMPTY_STR] = PyUnicode_FromStringAndSize("", 0); if (constants[Py_CONSTANT_EMPTY_STR] == NULL) { goto fatal_error; } constants[Py_CONSTANT_EMPTY_BYTES] = PyBytes_FromStringAndSize("", 0); if (constants[Py_CONSTANT_EMPTY_BYTES] == NULL) { goto fatal_error; } constants[Py_CONSTANT_EMPTY_TUPLE] = PyTuple_New(0); if (constants[Py_CONSTANT_EMPTY_TUPLE] == NULL) { goto fatal_error; } // goto dance to avoid compiler warnings about Py_FatalError() goto init_done; fatal_error: // This case should never happen Py_FatalError("Py_GetConstant() failed to get constants"); } init_done: if (constant_id <= Py_CONSTANT_EMPTY_TUPLE) { return Py_NewRef(constants[constant_id]); } else { PyErr_BadInternalCall(); return NULL; } } static inline PyObject* Py_GetConstantBorrowed(unsigned int constant_id) { PyObject *obj = Py_GetConstant(constant_id); Py_XDECREF(obj); return obj; } #endif // gh-114329 added PyList_GetItemRef() to Python 3.13.0a4 #if PY_VERSION_HEX < 0x030D00A4 static inline PyObject * PyList_GetItemRef(PyObject *op, Py_ssize_t index) { PyObject *item = PyList_GetItem(op, index); Py_XINCREF(item); return item; } #endif // gh-114329 added PyList_GetItemRef() to Python 3.13.0a4 #if PY_VERSION_HEX < 0x030D00A4 static inline int PyDict_SetDefaultRef(PyObject *d, PyObject *key, PyObject *default_value, PyObject **result) { PyObject *value; if (PyDict_GetItemRef(d, key, &value) < 0) { // get error if (result) { *result = NULL; } return -1; } if (value != NULL) { // present if (result) { *result = value; } else { Py_DECREF(value); } return 1; } // missing: set the item if (PyDict_SetItem(d, key, default_value) < 0) { // set error if (result) { *result = NULL; } return -1; } if (result) { *result = Py_NewRef(default_value); } return 0; } #endif #if PY_VERSION_HEX < 0x030D00B3 # define Py_BEGIN_CRITICAL_SECTION(op) { # define Py_END_CRITICAL_SECTION() } # define Py_BEGIN_CRITICAL_SECTION2(a, b) { # define Py_END_CRITICAL_SECTION2() } #endif #if PY_VERSION_HEX < 0x030E0000 && PY_VERSION_HEX >= 0x03060000 && !defined(PYPY_VERSION) typedef struct PyUnicodeWriter PyUnicodeWriter; static inline void PyUnicodeWriter_Discard(PyUnicodeWriter *writer) { _PyUnicodeWriter_Dealloc((_PyUnicodeWriter*)writer); PyMem_Free(writer); } static inline PyUnicodeWriter* PyUnicodeWriter_Create(Py_ssize_t length) { if (length < 0) { PyErr_SetString(PyExc_ValueError, "length must be positive"); return NULL; } const size_t size = sizeof(_PyUnicodeWriter); PyUnicodeWriter *pub_writer = (PyUnicodeWriter *)PyMem_Malloc(size); if (pub_writer == _Py_NULL) { PyErr_NoMemory(); return _Py_NULL; } _PyUnicodeWriter *writer = (_PyUnicodeWriter *)pub_writer; _PyUnicodeWriter_Init(writer); if (_PyUnicodeWriter_Prepare(writer, length, 127) < 0) { PyUnicodeWriter_Discard(pub_writer); return NULL; } writer->overallocate = 1; return pub_writer; } static inline PyObject* PyUnicodeWriter_Finish(PyUnicodeWriter *writer) { PyObject *str = _PyUnicodeWriter_Finish((_PyUnicodeWriter*)writer); assert(((_PyUnicodeWriter*)writer)->buffer == NULL); PyMem_Free(writer); return str; } static inline int PyUnicodeWriter_WriteChar(PyUnicodeWriter *writer, Py_UCS4 ch) { if (ch > 0x10ffff) { PyErr_SetString(PyExc_ValueError, "character must be in range(0x110000)"); return -1; } return _PyUnicodeWriter_WriteChar((_PyUnicodeWriter*)writer, ch); } static inline int PyUnicodeWriter_WriteStr(PyUnicodeWriter *writer, PyObject *obj) { PyObject *str = PyObject_Str(obj); if (str == NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str); Py_DECREF(str); return res; } static inline int PyUnicodeWriter_WriteRepr(PyUnicodeWriter *writer, PyObject *obj) { PyObject *str = PyObject_Repr(obj); if (str == NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str); Py_DECREF(str); return res; } static inline int PyUnicodeWriter_WriteUTF8(PyUnicodeWriter *writer, const char *str, Py_ssize_t size) { if (size < 0) { size = (Py_ssize_t)strlen(str); } PyObject *str_obj = PyUnicode_FromStringAndSize(str, size); if (str_obj == _Py_NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str_obj); Py_DECREF(str_obj); return res; } static inline int PyUnicodeWriter_WriteASCII(PyUnicodeWriter *writer, const char *str, Py_ssize_t size) { if (size < 0) { size = (Py_ssize_t)strlen(str); } return _PyUnicodeWriter_WriteASCIIString((_PyUnicodeWriter*)writer, str, size); } static inline int PyUnicodeWriter_WriteWideChar(PyUnicodeWriter *writer, const wchar_t *str, Py_ssize_t size) { if (size < 0) { size = (Py_ssize_t)wcslen(str); } PyObject *str_obj = PyUnicode_FromWideChar(str, size); if (str_obj == _Py_NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str_obj); Py_DECREF(str_obj); return res; } static inline int PyUnicodeWriter_WriteSubstring(PyUnicodeWriter *writer, PyObject *str, Py_ssize_t start, Py_ssize_t end) { if (!PyUnicode_Check(str)) { PyErr_Format(PyExc_TypeError, "expect str, not %s", Py_TYPE(str)->tp_name); return -1; } if (start < 0 || start > end) { PyErr_Format(PyExc_ValueError, "invalid start argument"); return -1; } if (end > PyUnicode_GET_LENGTH(str)) { PyErr_Format(PyExc_ValueError, "invalid end argument"); return -1; } return _PyUnicodeWriter_WriteSubstring((_PyUnicodeWriter*)writer, str, start, end); } static inline int PyUnicodeWriter_Format(PyUnicodeWriter *writer, const char *format, ...) { va_list vargs; va_start(vargs, format); PyObject *str = PyUnicode_FromFormatV(format, vargs); va_end(vargs); if (str == _Py_NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str); Py_DECREF(str); return res; } #endif // PY_VERSION_HEX < 0x030E0000 // gh-116560 added PyLong_GetSign() to Python 3.14.0a0 #if PY_VERSION_HEX < 0x030E00A0 static inline int PyLong_GetSign(PyObject *obj, int *sign) { if (!PyLong_Check(obj)) { PyErr_Format(PyExc_TypeError, "expect int, got %s", Py_TYPE(obj)->tp_name); return -1; } *sign = _PyLong_Sign(obj); return 0; } #endif // gh-126061 added PyLong_IsPositive/Negative/Zero() to Python in 3.14.0a2 #if PY_VERSION_HEX < 0x030E00A2 static inline int PyLong_IsPositive(PyObject *obj) { if (!PyLong_Check(obj)) { PyErr_Format(PyExc_TypeError, "expected int, got %s", Py_TYPE(obj)->tp_name); return -1; } return _PyLong_Sign(obj) == 1; } static inline int PyLong_IsNegative(PyObject *obj) { if (!PyLong_Check(obj)) { PyErr_Format(PyExc_TypeError, "expected int, got %s", Py_TYPE(obj)->tp_name); return -1; } return _PyLong_Sign(obj) == -1; } static inline int PyLong_IsZero(PyObject *obj) { if (!PyLong_Check(obj)) { PyErr_Format(PyExc_TypeError, "expected int, got %s", Py_TYPE(obj)->tp_name); return -1; } return _PyLong_Sign(obj) == 0; } #endif // gh-124502 added PyUnicode_Equal() to Python 3.14.0a0 #if PY_VERSION_HEX < 0x030E00A0 static inline int PyUnicode_Equal(PyObject *str1, PyObject *str2) { if (!PyUnicode_Check(str1)) { PyErr_Format(PyExc_TypeError, "first argument must be str, not %s", Py_TYPE(str1)->tp_name); return -1; } if (!PyUnicode_Check(str2)) { PyErr_Format(PyExc_TypeError, "second argument must be str, not %s", Py_TYPE(str2)->tp_name); return -1; } #if PY_VERSION_HEX >= 0x030d0000 && !defined(PYPY_VERSION) PyAPI_FUNC(int) _PyUnicode_Equal(PyObject *str1, PyObject *str2); return _PyUnicode_Equal(str1, str2); #elif PY_VERSION_HEX >= 0x03060000 && !defined(PYPY_VERSION) return _PyUnicode_EQ(str1, str2); #elif PY_VERSION_HEX >= 0x03090000 && defined(PYPY_VERSION) return _PyUnicode_EQ(str1, str2); #else return (PyUnicode_Compare(str1, str2) == 0); #endif } #endif // gh-121645 added PyBytes_Join() to Python 3.14.0a0 #if PY_VERSION_HEX < 0x030E00A0 static inline PyObject* PyBytes_Join(PyObject *sep, PyObject *iterable) { return _PyBytes_Join(sep, iterable); } #endif #if PY_VERSION_HEX < 0x030E00A0 static inline Py_hash_t Py_HashBuffer(const void *ptr, Py_ssize_t len) { #if PY_VERSION_HEX >= 0x03000000 && !defined(PYPY_VERSION) PyAPI_FUNC(Py_hash_t) _Py_HashBytes(const void *src, Py_ssize_t len); return _Py_HashBytes(ptr, len); #else Py_hash_t hash; PyObject *bytes = PyBytes_FromStringAndSize((const char*)ptr, len); if (bytes == NULL) { return -1; } hash = PyObject_Hash(bytes); Py_DECREF(bytes); return hash; #endif } #endif #if PY_VERSION_HEX < 0x030E00A0 static inline int PyIter_NextItem(PyObject *iter, PyObject **item) { iternextfunc tp_iternext; assert(iter != NULL); assert(item != NULL); tp_iternext = Py_TYPE(iter)->tp_iternext; if (tp_iternext == NULL) { *item = NULL; PyErr_Format(PyExc_TypeError, "expected an iterator, got '%s'", Py_TYPE(iter)->tp_name); return -1; } if ((*item = tp_iternext(iter))) { return 1; } if (!PyErr_Occurred()) { return 0; } if (PyErr_ExceptionMatches(PyExc_StopIteration)) { PyErr_Clear(); return 0; } return -1; } #endif #if PY_VERSION_HEX < 0x030E00A0 static inline PyObject* PyLong_FromInt32(int32_t value) { Py_BUILD_ASSERT(sizeof(long) >= 4); return PyLong_FromLong(value); } static inline PyObject* PyLong_FromInt64(int64_t value) { Py_BUILD_ASSERT(sizeof(long long) >= 8); return PyLong_FromLongLong(value); } static inline PyObject* PyLong_FromUInt32(uint32_t value) { Py_BUILD_ASSERT(sizeof(unsigned long) >= 4); return PyLong_FromUnsignedLong(value); } static inline PyObject* PyLong_FromUInt64(uint64_t value) { Py_BUILD_ASSERT(sizeof(unsigned long long) >= 8); return PyLong_FromUnsignedLongLong(value); } static inline int PyLong_AsInt32(PyObject *obj, int32_t *pvalue) { Py_BUILD_ASSERT(sizeof(int) == 4); int value = PyLong_AsInt(obj); if (value == -1 && PyErr_Occurred()) { return -1; } *pvalue = (int32_t)value; return 0; } static inline int PyLong_AsInt64(PyObject *obj, int64_t *pvalue) { Py_BUILD_ASSERT(sizeof(long long) == 8); long long value = PyLong_AsLongLong(obj); if (value == -1 && PyErr_Occurred()) { return -1; } *pvalue = (int64_t)value; return 0; } static inline int PyLong_AsUInt32(PyObject *obj, uint32_t *pvalue) { Py_BUILD_ASSERT(sizeof(long) >= 4); unsigned long value = PyLong_AsUnsignedLong(obj); if (value == (unsigned long)-1 && PyErr_Occurred()) { return -1; } #if SIZEOF_LONG > 4 if ((unsigned long)UINT32_MAX < value) { PyErr_SetString(PyExc_OverflowError, "Python int too large to convert to C uint32_t"); return -1; } #endif *pvalue = (uint32_t)value; return 0; } static inline int PyLong_AsUInt64(PyObject *obj, uint64_t *pvalue) { Py_BUILD_ASSERT(sizeof(long long) == 8); unsigned long long value = PyLong_AsUnsignedLongLong(obj); if (value == (unsigned long long)-1 && PyErr_Occurred()) { return -1; } *pvalue = (uint64_t)value; return 0; } #endif // gh-102471 added import and export API for integers to 3.14.0a2. #if PY_VERSION_HEX < 0x030E00A2 && PY_VERSION_HEX >= 0x03000000 && !defined(PYPY_VERSION) // Helpers to access PyLongObject internals. static inline void _PyLong_SetSignAndDigitCount(PyLongObject *op, int sign, Py_ssize_t size) { #if PY_VERSION_HEX >= 0x030C0000 op->long_value.lv_tag = (uintptr_t)(1 - sign) | ((uintptr_t)(size) << 3); #elif PY_VERSION_HEX >= 0x030900A4 Py_SET_SIZE(op, sign * size); #else Py_SIZE(op) = sign * size; #endif } static inline Py_ssize_t _PyLong_DigitCount(const PyLongObject *op) { #if PY_VERSION_HEX >= 0x030C0000 return (Py_ssize_t)(op->long_value.lv_tag >> 3); #else return _PyLong_Sign((PyObject*)op) < 0 ? -Py_SIZE(op) : Py_SIZE(op); #endif } static inline digit* _PyLong_GetDigits(const PyLongObject *op) { #if PY_VERSION_HEX >= 0x030C0000 return (digit*)(op->long_value.ob_digit); #else return (digit*)(op->ob_digit); #endif } typedef struct PyLongLayout { uint8_t bits_per_digit; uint8_t digit_size; int8_t digits_order; int8_t digit_endianness; } PyLongLayout; typedef struct PyLongExport { int64_t value; uint8_t negative; Py_ssize_t ndigits; const void *digits; Py_uintptr_t _reserved; } PyLongExport; typedef struct PyLongWriter PyLongWriter; static inline const PyLongLayout* PyLong_GetNativeLayout(void) { static const PyLongLayout PyLong_LAYOUT = { PyLong_SHIFT, sizeof(digit), -1, // least significant first PY_LITTLE_ENDIAN ? -1 : 1, }; return &PyLong_LAYOUT; } static inline int PyLong_Export(PyObject *obj, PyLongExport *export_long) { if (!PyLong_Check(obj)) { memset(export_long, 0, sizeof(*export_long)); PyErr_Format(PyExc_TypeError, "expected int, got %s", Py_TYPE(obj)->tp_name); return -1; } // Fast-path: try to convert to a int64_t PyLongObject *self = (PyLongObject*)obj; int overflow; #if SIZEOF_LONG == 8 long value = PyLong_AsLongAndOverflow(obj, &overflow); #else // Windows has 32-bit long, so use 64-bit long long instead long long value = PyLong_AsLongLongAndOverflow(obj, &overflow); #endif Py_BUILD_ASSERT(sizeof(value) == sizeof(int64_t)); // the function cannot fail since obj is a PyLongObject assert(!(value == -1 && PyErr_Occurred())); if (!overflow) { export_long->value = value; export_long->negative = 0; export_long->ndigits = 0; export_long->digits = 0; export_long->_reserved = 0; } else { export_long->value = 0; export_long->negative = _PyLong_Sign(obj) < 0; export_long->ndigits = _PyLong_DigitCount(self); if (export_long->ndigits == 0) { export_long->ndigits = 1; } export_long->digits = _PyLong_GetDigits(self); export_long->_reserved = (Py_uintptr_t)Py_NewRef(obj); } return 0; } static inline void PyLong_FreeExport(PyLongExport *export_long) { PyObject *obj = (PyObject*)export_long->_reserved; if (obj) { export_long->_reserved = 0; Py_DECREF(obj); } } static inline PyLongWriter* PyLongWriter_Create(int negative, Py_ssize_t ndigits, void **digits) { if (ndigits <= 0) { PyErr_SetString(PyExc_ValueError, "ndigits must be positive"); return NULL; } assert(digits != NULL); PyLongObject *obj = _PyLong_New(ndigits); if (obj == NULL) { return NULL; } _PyLong_SetSignAndDigitCount(obj, negative?-1:1, ndigits); *digits = _PyLong_GetDigits(obj); return (PyLongWriter*)obj; } static inline void PyLongWriter_Discard(PyLongWriter *writer) { PyLongObject *obj = (PyLongObject *)writer; assert(Py_REFCNT(obj) == 1); Py_DECREF(obj); } static inline PyObject* PyLongWriter_Finish(PyLongWriter *writer) { PyObject *obj = (PyObject *)writer; PyLongObject *self = (PyLongObject*)obj; Py_ssize_t j = _PyLong_DigitCount(self); Py_ssize_t i = j; int sign = _PyLong_Sign(obj); assert(Py_REFCNT(obj) == 1); // Normalize and get singleton if possible while (i > 0 && _PyLong_GetDigits(self)[i-1] == 0) { --i; } if (i != j) { if (i == 0) { sign = 0; } _PyLong_SetSignAndDigitCount(self, sign, i); } if (i <= 1) { long val = sign * (long)(_PyLong_GetDigits(self)[0]); Py_DECREF(obj); return PyLong_FromLong(val); } return obj; } #endif #if PY_VERSION_HEX < 0x030C00A3 # define Py_T_SHORT T_SHORT # define Py_T_INT T_INT # define Py_T_LONG T_LONG # define Py_T_FLOAT T_FLOAT # define Py_T_DOUBLE T_DOUBLE # define Py_T_STRING T_STRING # define _Py_T_OBJECT T_OBJECT # define Py_T_CHAR T_CHAR # define Py_T_BYTE T_BYTE # define Py_T_UBYTE T_UBYTE # define Py_T_USHORT T_USHORT # define Py_T_UINT T_UINT # define Py_T_ULONG T_ULONG # define Py_T_STRING_INPLACE T_STRING_INPLACE # define Py_T_BOOL T_BOOL # define Py_T_OBJECT_EX T_OBJECT_EX # define Py_T_LONGLONG T_LONGLONG # define Py_T_ULONGLONG T_ULONGLONG # define Py_T_PYSSIZET T_PYSSIZET # if PY_VERSION_HEX >= 0x03000000 && !defined(PYPY_VERSION) # define _Py_T_NONE T_NONE # endif # define Py_READONLY READONLY # define Py_AUDIT_READ READ_RESTRICTED # define _Py_WRITE_RESTRICTED PY_WRITE_RESTRICTED #endif // gh-127350 added Py_fopen() and Py_fclose() to Python 3.14a4 #if PY_VERSION_HEX < 0x030E00A4 static inline FILE* Py_fopen(PyObject *path, const char *mode) { #if 0x030400A2 <= PY_VERSION_HEX && !defined(PYPY_VERSION) PyAPI_FUNC(FILE*) _Py_fopen_obj(PyObject *path, const char *mode); return _Py_fopen_obj(path, mode); #else FILE *f; PyObject *bytes; #if PY_VERSION_HEX >= 0x03000000 if (!PyUnicode_FSConverter(path, &bytes)) { return NULL; } #else if (!PyString_Check(path)) { PyErr_SetString(PyExc_TypeError, "except str"); return NULL; } bytes = Py_NewRef(path); #endif const char *path_bytes = PyBytes_AS_STRING(bytes); f = fopen(path_bytes, mode); Py_DECREF(bytes); if (f == NULL) { PyErr_SetFromErrnoWithFilenameObject(PyExc_OSError, path); return NULL; } return f; #endif } static inline int Py_fclose(FILE *file) { return fclose(file); } #endif #if 0x03080000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x030E0000 && !defined(PYPY_VERSION) static inline PyObject* PyConfig_Get(const char *name) { typedef enum { _PyConfig_MEMBER_INT, _PyConfig_MEMBER_UINT, _PyConfig_MEMBER_ULONG, _PyConfig_MEMBER_BOOL, _PyConfig_MEMBER_WSTR, _PyConfig_MEMBER_WSTR_OPT, _PyConfig_MEMBER_WSTR_LIST, } PyConfigMemberType; typedef struct { const char *name; size_t offset; PyConfigMemberType type; const char *sys_attr; } PyConfigSpec; #define PYTHONCAPI_COMPAT_SPEC(MEMBER, TYPE, sys_attr) \ {#MEMBER, offsetof(PyConfig, MEMBER), \ _PyConfig_MEMBER_##TYPE, sys_attr} static const PyConfigSpec config_spec[] = { PYTHONCAPI_COMPAT_SPEC(argv, WSTR_LIST, "argv"), PYTHONCAPI_COMPAT_SPEC(base_exec_prefix, WSTR_OPT, "base_exec_prefix"), PYTHONCAPI_COMPAT_SPEC(base_executable, WSTR_OPT, "_base_executable"), PYTHONCAPI_COMPAT_SPEC(base_prefix, WSTR_OPT, "base_prefix"), PYTHONCAPI_COMPAT_SPEC(bytes_warning, UINT, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(exec_prefix, WSTR_OPT, "exec_prefix"), PYTHONCAPI_COMPAT_SPEC(executable, WSTR_OPT, "executable"), PYTHONCAPI_COMPAT_SPEC(inspect, BOOL, _Py_NULL), #if 0x030C0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(int_max_str_digits, UINT, _Py_NULL), #endif PYTHONCAPI_COMPAT_SPEC(interactive, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(module_search_paths, WSTR_LIST, "path"), PYTHONCAPI_COMPAT_SPEC(optimization_level, UINT, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(parser_debug, BOOL, _Py_NULL), #if 0x03090000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(platlibdir, WSTR, "platlibdir"), #endif PYTHONCAPI_COMPAT_SPEC(prefix, WSTR_OPT, "prefix"), PYTHONCAPI_COMPAT_SPEC(pycache_prefix, WSTR_OPT, "pycache_prefix"), PYTHONCAPI_COMPAT_SPEC(quiet, BOOL, _Py_NULL), #if 0x030B0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(stdlib_dir, WSTR_OPT, "_stdlib_dir"), #endif PYTHONCAPI_COMPAT_SPEC(use_environment, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(verbose, UINT, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(warnoptions, WSTR_LIST, "warnoptions"), PYTHONCAPI_COMPAT_SPEC(write_bytecode, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(xoptions, WSTR_LIST, "_xoptions"), PYTHONCAPI_COMPAT_SPEC(buffered_stdio, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(check_hash_pycs_mode, WSTR, _Py_NULL), #if 0x030B0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(code_debug_ranges, BOOL, _Py_NULL), #endif PYTHONCAPI_COMPAT_SPEC(configure_c_stdio, BOOL, _Py_NULL), #if 0x030D0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(cpu_count, INT, _Py_NULL), #endif PYTHONCAPI_COMPAT_SPEC(dev_mode, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(dump_refs, BOOL, _Py_NULL), #if 0x030B0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(dump_refs_file, WSTR_OPT, _Py_NULL), #endif #ifdef Py_GIL_DISABLED PYTHONCAPI_COMPAT_SPEC(enable_gil, INT, _Py_NULL), #endif PYTHONCAPI_COMPAT_SPEC(faulthandler, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(filesystem_encoding, WSTR, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(filesystem_errors, WSTR, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(hash_seed, ULONG, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(home, WSTR_OPT, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(import_time, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(install_signal_handlers, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(isolated, BOOL, _Py_NULL), #ifdef MS_WINDOWS PYTHONCAPI_COMPAT_SPEC(legacy_windows_stdio, BOOL, _Py_NULL), #endif PYTHONCAPI_COMPAT_SPEC(malloc_stats, BOOL, _Py_NULL), #if 0x030A0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(orig_argv, WSTR_LIST, "orig_argv"), #endif PYTHONCAPI_COMPAT_SPEC(parse_argv, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(pathconfig_warnings, BOOL, _Py_NULL), #if 0x030C0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(perf_profiling, UINT, _Py_NULL), #endif PYTHONCAPI_COMPAT_SPEC(program_name, WSTR, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(run_command, WSTR_OPT, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(run_filename, WSTR_OPT, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(run_module, WSTR_OPT, _Py_NULL), #if 0x030B0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(safe_path, BOOL, _Py_NULL), #endif PYTHONCAPI_COMPAT_SPEC(show_ref_count, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(site_import, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(skip_source_first_line, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(stdio_encoding, WSTR, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(stdio_errors, WSTR, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(tracemalloc, UINT, _Py_NULL), #if 0x030B0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(use_frozen_modules, BOOL, _Py_NULL), #endif PYTHONCAPI_COMPAT_SPEC(use_hash_seed, BOOL, _Py_NULL), PYTHONCAPI_COMPAT_SPEC(user_site_directory, BOOL, _Py_NULL), #if 0x030A0000 <= PY_VERSION_HEX PYTHONCAPI_COMPAT_SPEC(warn_default_encoding, BOOL, _Py_NULL), #endif }; #undef PYTHONCAPI_COMPAT_SPEC const PyConfigSpec *spec; int found = 0; for (size_t i=0; i < sizeof(config_spec) / sizeof(config_spec[0]); i++) { spec = &config_spec[i]; if (strcmp(spec->name, name) == 0) { found = 1; break; } } if (found) { if (spec->sys_attr != NULL) { PyObject *value = PySys_GetObject(spec->sys_attr); if (value == NULL) { PyErr_Format(PyExc_RuntimeError, "lost sys.%s", spec->sys_attr); return NULL; } return Py_NewRef(value); } PyAPI_FUNC(const PyConfig*) _Py_GetConfig(void); const PyConfig *config = _Py_GetConfig(); void *member = (char *)config + spec->offset; switch (spec->type) { case _PyConfig_MEMBER_INT: case _PyConfig_MEMBER_UINT: { int value = *(int *)member; return PyLong_FromLong(value); } case _PyConfig_MEMBER_BOOL: { int value = *(int *)member; return PyBool_FromLong(value != 0); } case _PyConfig_MEMBER_ULONG: { unsigned long value = *(unsigned long *)member; return PyLong_FromUnsignedLong(value); } case _PyConfig_MEMBER_WSTR: case _PyConfig_MEMBER_WSTR_OPT: { wchar_t *wstr = *(wchar_t **)member; if (wstr != NULL) { return PyUnicode_FromWideChar(wstr, -1); } else { return Py_NewRef(Py_None); } } case _PyConfig_MEMBER_WSTR_LIST: { const PyWideStringList *list = (const PyWideStringList *)member; PyObject *tuple = PyTuple_New(list->length); if (tuple == NULL) { return NULL; } for (Py_ssize_t i = 0; i < list->length; i++) { PyObject *item = PyUnicode_FromWideChar(list->items[i], -1); if (item == NULL) { Py_DECREF(tuple); return NULL; } PyTuple_SET_ITEM(tuple, i, item); } return tuple; } default: Py_UNREACHABLE(); } } PyErr_Format(PyExc_ValueError, "unknown config option name: %s", name); return NULL; } static inline int PyConfig_GetInt(const char *name, int *value) { PyObject *obj = PyConfig_Get(name); if (obj == NULL) { return -1; } if (!PyLong_Check(obj)) { Py_DECREF(obj); PyErr_Format(PyExc_TypeError, "config option %s is not an int", name); return -1; } int as_int = PyLong_AsInt(obj); Py_DECREF(obj); if (as_int == -1 && PyErr_Occurred()) { PyErr_Format(PyExc_OverflowError, "config option %s value does not fit into a C int", name); return -1; } *value = as_int; return 0; } #endif // PY_VERSION_HEX > 0x03090000 && !defined(PYPY_VERSION) // gh-133144 added PyUnstable_Object_IsUniquelyReferenced() to Python 3.14.0b1. // Adapted from _PyObject_IsUniquelyReferenced() implementation. #if PY_VERSION_HEX < 0x030E00B0 static inline int PyUnstable_Object_IsUniquelyReferenced(PyObject *obj) { #if !defined(Py_GIL_DISABLED) return Py_REFCNT(obj) == 1; #else // NOTE: the entire ob_ref_shared field must be zero, including flags, to // ensure that other threads cannot concurrently create new references to // this object. return (_Py_IsOwnedByCurrentThread(obj) && _Py_atomic_load_uint32_relaxed(&obj->ob_ref_local) == 1 && _Py_atomic_load_ssize_relaxed(&obj->ob_ref_shared) == 0); #endif } #endif #if PY_VERSION_HEX < 0x030F0000 static inline PyObject* PySys_GetAttrString(const char *name) { #if PY_VERSION_HEX >= 0x03000000 PyObject *value = Py_XNewRef(PySys_GetObject(name)); #else PyObject *value = Py_XNewRef(PySys_GetObject((char*)name)); #endif if (value != NULL) { return value; } if (!PyErr_Occurred()) { PyErr_Format(PyExc_RuntimeError, "lost sys.%s", name); } return NULL; } static inline PyObject* PySys_GetAttr(PyObject *name) { #if PY_VERSION_HEX >= 0x03000000 const char *name_str = PyUnicode_AsUTF8(name); #else const char *name_str = PyString_AsString(name); #endif if (name_str == NULL) { return NULL; } return PySys_GetAttrString(name_str); } static inline int PySys_GetOptionalAttrString(const char *name, PyObject **value) { #if PY_VERSION_HEX >= 0x03000000 *value = Py_XNewRef(PySys_GetObject(name)); #else *value = Py_XNewRef(PySys_GetObject((char*)name)); #endif if (*value != NULL) { return 1; } return 0; } static inline int PySys_GetOptionalAttr(PyObject *name, PyObject **value) { #if PY_VERSION_HEX >= 0x03000000 const char *name_str = PyUnicode_AsUTF8(name); #else const char *name_str = PyString_AsString(name); #endif if (name_str == NULL) { *value = NULL; return -1; } return PySys_GetOptionalAttrString(name_str, value); } #endif // PY_VERSION_HEX < 0x030F00A1 #if PY_VERSION_HEX < 0x030F00A1 typedef struct PyBytesWriter { char small_buffer[256]; PyObject *obj; Py_ssize_t size; } PyBytesWriter; static inline Py_ssize_t _PyBytesWriter_GetAllocated(PyBytesWriter *writer) { if (writer->obj == NULL) { return sizeof(writer->small_buffer); } else { return PyBytes_GET_SIZE(writer->obj); } } static inline int _PyBytesWriter_Resize_impl(PyBytesWriter *writer, Py_ssize_t size, int resize) { int overallocate = resize; assert(size >= 0); if (size <= _PyBytesWriter_GetAllocated(writer)) { return 0; } if (overallocate) { #ifdef MS_WINDOWS /* On Windows, overallocate by 50% is the best factor */ if (size <= (PY_SSIZE_T_MAX - size / 2)) { size += size / 2; } #else /* On Linux, overallocate by 25% is the best factor */ if (size <= (PY_SSIZE_T_MAX - size / 4)) { size += size / 4; } #endif } if (writer->obj != NULL) { if (_PyBytes_Resize(&writer->obj, size)) { return -1; } assert(writer->obj != NULL); } else { writer->obj = PyBytes_FromStringAndSize(NULL, size); if (writer->obj == NULL) { return -1; } if (resize) { assert((size_t)size > sizeof(writer->small_buffer)); memcpy(PyBytes_AS_STRING(writer->obj), writer->small_buffer, sizeof(writer->small_buffer)); } } return 0; } static inline void* PyBytesWriter_GetData(PyBytesWriter *writer) { if (writer->obj == NULL) { return writer->small_buffer; } else { return PyBytes_AS_STRING(writer->obj); } } static inline Py_ssize_t PyBytesWriter_GetSize(PyBytesWriter *writer) { return writer->size; } static inline void PyBytesWriter_Discard(PyBytesWriter *writer) { if (writer == NULL) { return; } Py_XDECREF(writer->obj); PyMem_Free(writer); } static inline PyBytesWriter* PyBytesWriter_Create(Py_ssize_t size) { if (size < 0) { PyErr_SetString(PyExc_ValueError, "size must be >= 0"); return NULL; } PyBytesWriter *writer = (PyBytesWriter*)PyMem_Malloc(sizeof(PyBytesWriter)); if (writer == NULL) { PyErr_NoMemory(); return NULL; } writer->obj = NULL; writer->size = 0; if (size >= 1) { if (_PyBytesWriter_Resize_impl(writer, size, 0) < 0) { PyBytesWriter_Discard(writer); return NULL; } writer->size = size; } return writer; } static inline PyObject* PyBytesWriter_FinishWithSize(PyBytesWriter *writer, Py_ssize_t size) { PyObject *result; if (size == 0) { result = PyBytes_FromStringAndSize("", 0); } else if (writer->obj != NULL) { if (size != PyBytes_GET_SIZE(writer->obj)) { if (_PyBytes_Resize(&writer->obj, size)) { goto error; } } result = writer->obj; writer->obj = NULL; } else { result = PyBytes_FromStringAndSize(writer->small_buffer, size); } PyBytesWriter_Discard(writer); return result; error: PyBytesWriter_Discard(writer); return NULL; } static inline PyObject* PyBytesWriter_Finish(PyBytesWriter *writer) { return PyBytesWriter_FinishWithSize(writer, writer->size); } static inline PyObject* PyBytesWriter_FinishWithPointer(PyBytesWriter *writer, void *buf) { Py_ssize_t size = (char*)buf - (char*)PyBytesWriter_GetData(writer); if (size < 0 || size > _PyBytesWriter_GetAllocated(writer)) { PyBytesWriter_Discard(writer); PyErr_SetString(PyExc_ValueError, "invalid end pointer"); return NULL; } return PyBytesWriter_FinishWithSize(writer, size); } static inline int PyBytesWriter_Resize(PyBytesWriter *writer, Py_ssize_t size) { if (size < 0) { PyErr_SetString(PyExc_ValueError, "size must be >= 0"); return -1; } if (_PyBytesWriter_Resize_impl(writer, size, 1) < 0) { return -1; } writer->size = size; return 0; } static inline int PyBytesWriter_Grow(PyBytesWriter *writer, Py_ssize_t size) { if (size < 0 && writer->size + size < 0) { PyErr_SetString(PyExc_ValueError, "invalid size"); return -1; } if (size > PY_SSIZE_T_MAX - writer->size) { PyErr_NoMemory(); return -1; } size = writer->size + size; if (_PyBytesWriter_Resize_impl(writer, size, 1) < 0) { return -1; } writer->size = size; return 0; } static inline void* PyBytesWriter_GrowAndUpdatePointer(PyBytesWriter *writer, Py_ssize_t size, void *buf) { Py_ssize_t pos = (char*)buf - (char*)PyBytesWriter_GetData(writer); if (PyBytesWriter_Grow(writer, size) < 0) { return NULL; } return (char*)PyBytesWriter_GetData(writer) + pos; } static inline int PyBytesWriter_WriteBytes(PyBytesWriter *writer, const void *bytes, Py_ssize_t size) { if (size < 0) { size_t len = strlen((const char*)bytes); if (len > (size_t)PY_SSIZE_T_MAX) { PyErr_NoMemory(); return -1; } size = (Py_ssize_t)len; } Py_ssize_t pos = writer->size; if (PyBytesWriter_Grow(writer, size) < 0) { return -1; } char *buf = (char*)PyBytesWriter_GetData(writer); memcpy(buf + pos, bytes, (size_t)size); return 0; } static inline int PyBytesWriter_Format(PyBytesWriter *writer, const char *format, ...) Py_GCC_ATTRIBUTE((format(printf, 2, 3))); static inline int PyBytesWriter_Format(PyBytesWriter *writer, const char *format, ...) { va_list vargs; va_start(vargs, format); PyObject *str = PyBytes_FromFormatV(format, vargs); va_end(vargs); if (str == NULL) { return -1; } int res = PyBytesWriter_WriteBytes(writer, PyBytes_AS_STRING(str), PyBytes_GET_SIZE(str)); Py_DECREF(str); return res; } #endif // PY_VERSION_HEX < 0x030F00A1 #if PY_VERSION_HEX < 0x030F00A1 static inline PyObject* PyTuple_FromArray(PyObject *const *array, Py_ssize_t size) { PyObject *tuple = PyTuple_New(size); if (tuple == NULL) { return NULL; } for (Py_ssize_t i=0; i < size; i++) { PyObject *item = array[i]; PyTuple_SET_ITEM(tuple, i, Py_NewRef(item)); } return tuple; } #endif #if PY_VERSION_HEX < 0x030F00A1 static inline Py_hash_t PyUnstable_Unicode_GET_CACHED_HASH(PyObject *op) { #ifdef PYPY_VERSION (void)op; // unused argument return -1; #elif PY_VERSION_HEX >= 0x03000000 return ((PyASCIIObject*)op)->hash; #else return ((PyUnicodeObject*)op)->hash; #endif } #endif #ifdef __cplusplus } #endif #endif // PYTHONCAPI_COMPAT ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/pythonsupport.c0000644000175100017510000000444715112307767017744 0ustar00runnerrunner// Collects code that was copied in from cpython, for a couple of different reasons: // * We wanted to modify it to produce a more efficient version for our uses // * We needed to call it and it was static :( // * We wanted to call it and needed to backport it #include "pythonsupport.h" #if CPY_3_12_FEATURES // Slow path of CPyLong_AsSsize_tAndOverflow (non-inlined) Py_ssize_t CPyLong_AsSsize_tAndOverflow_(PyObject *vv, int *overflow) { PyLongObject *v = (PyLongObject *)vv; size_t x, prev; Py_ssize_t res; Py_ssize_t i; int sign; *overflow = 0; res = -1; i = CPY_LONG_TAG(v); sign = 1; x = 0; if (i & CPY_SIGN_NEGATIVE) { sign = -1; } i >>= CPY_NON_SIZE_BITS; while (--i >= 0) { prev = x; x = (x << PyLong_SHIFT) + CPY_LONG_DIGIT(v, i); if ((x >> PyLong_SHIFT) != prev) { *overflow = sign; goto exit; } } /* Haven't lost any bits, but casting to long requires extra * care. */ if (x <= (size_t)CPY_TAGGED_MAX) { res = (Py_ssize_t)x * sign; } else if (sign < 0 && x == CPY_TAGGED_ABS_MIN) { res = CPY_TAGGED_MIN; } else { *overflow = sign; /* res is already set to -1 */ } exit: return res; } #else // Slow path of CPyLong_AsSsize_tAndOverflow (non-inlined, Python 3.11 and earlier) Py_ssize_t CPyLong_AsSsize_tAndOverflow_(PyObject *vv, int *overflow) { /* This version by Tim Peters */ PyLongObject *v = (PyLongObject *)vv; size_t x, prev; Py_ssize_t res; Py_ssize_t i; int sign; *overflow = 0; res = -1; i = Py_SIZE(v); sign = 1; x = 0; if (i < 0) { sign = -1; i = -(i); } while (--i >= 0) { prev = x; x = (x << PyLong_SHIFT) + CPY_LONG_DIGIT(v, i); if ((x >> PyLong_SHIFT) != prev) { *overflow = sign; goto exit; } } /* Haven't lost any bits, but casting to long requires extra * care. */ if (x <= (size_t)CPY_TAGGED_MAX) { res = (Py_ssize_t)x * sign; } else if (sign < 0 && x == CPY_TAGGED_ABS_MIN) { res = CPY_TAGGED_MIN; } else { *overflow = sign; /* res is already set to -1 */ } exit: return res; } #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/pythonsupport.h0000644000175100017510000003231415112307767017743 0ustar00runnerrunner// Collects code that was copied in from cpython, for a couple of different reasons: // * We wanted to modify it to produce a more efficient version for our uses // * We needed to call it and it was static :( // * We wanted to call it and needed to backport it #ifndef CPY_PYTHONSUPPORT_H #define CPY_PYTHONSUPPORT_H #include #include #include "pythoncapi_compat.h" #include #include #include "mypyc_util.h" #if CPY_3_13_FEATURES #ifndef Py_BUILD_CORE #define Py_BUILD_CORE #endif #include "internal/pycore_genobject.h" // _PyGen_FetchStopIterationValue #include "internal/pycore_pyerrors.h" // _PyErr_FormatFromCause, _PyErr_SetKeyError #include "internal/pycore_setobject.h" // _PySet_Update #endif #if CPY_3_12_FEATURES #include "internal/pycore_frame.h" #endif #ifdef __cplusplus extern "C" { #endif #if 0 } // why isn't emacs smart enough to not indent this #endif ///////////////////////////////////////// // Adapted from bltinmodule.c in Python 3.7.0 _Py_IDENTIFIER(__mro_entries__); static PyObject* update_bases(PyObject *bases) { Py_ssize_t i, j; PyObject *base, *meth, *new_base, *result, *new_bases = NULL; PyObject *stack[1] = {bases}; assert(PyTuple_Check(bases)); Py_ssize_t nargs = PyTuple_GET_SIZE(bases); for (i = 0; i < nargs; i++) { base = PyTuple_GET_ITEM(bases, i); if (PyType_Check(base)) { if (new_bases) { /* If we already have made a replacement, then we append every normal base, otherwise just skip it. */ if (PyList_Append(new_bases, base) < 0) { goto error; } } continue; } if (PyObject_GetOptionalAttrString(base, PyId___mro_entries__.string, &meth) < 0) { goto error; } if (!meth) { if (new_bases) { if (PyList_Append(new_bases, base) < 0) { goto error; } } continue; } new_base = PyObject_Vectorcall(meth, stack, 1, NULL); Py_DECREF(meth); if (!new_base) { goto error; } if (!PyTuple_Check(new_base)) { PyErr_SetString(PyExc_TypeError, "__mro_entries__ must return a tuple"); Py_DECREF(new_base); goto error; } if (!new_bases) { /* If this is a first successful replacement, create new_bases list and copy previously encountered bases. */ if (!(new_bases = PyList_New(i))) { goto error; } for (j = 0; j < i; j++) { base = PyTuple_GET_ITEM(bases, j); PyList_SET_ITEM(new_bases, j, base); Py_INCREF(base); } } j = PyList_GET_SIZE(new_bases); if (PyList_SetSlice(new_bases, j, j, new_base) < 0) { goto error; } Py_DECREF(new_base); } if (!new_bases) { return bases; } result = PyList_AsTuple(new_bases); Py_DECREF(new_bases); return result; error: Py_XDECREF(new_bases); return NULL; } // From Python 3.7's typeobject.c _Py_IDENTIFIER(__init_subclass__); static int init_subclass(PyTypeObject *type, PyObject *kwds) { PyObject *super, *func, *result; PyObject *args[2] = {(PyObject *)type, (PyObject *)type}; super = PyObject_Vectorcall((PyObject *)&PySuper_Type, args, 2, NULL); if (super == NULL) { return -1; } func = _PyObject_GetAttrId(super, &PyId___init_subclass__); Py_DECREF(super); if (func == NULL) { return -1; } result = _PyObject_FastCallDict(func, NULL, 0, kwds); Py_DECREF(func); if (result == NULL) { return -1; } Py_DECREF(result); return 0; } Py_ssize_t CPyLong_AsSsize_tAndOverflow_(PyObject *vv, int *overflow); #if CPY_3_12_FEATURES static inline Py_ssize_t CPyLong_AsSsize_tAndOverflow(PyObject *vv, int *overflow) { /* This version by Tim Peters */ PyLongObject *v = (PyLongObject *)vv; Py_ssize_t res; Py_ssize_t i; *overflow = 0; res = -1; i = CPY_LONG_TAG(v); // TODO: Combine zero and non-zero cases helow? if (likely(i == (1 << CPY_NON_SIZE_BITS))) { res = CPY_LONG_DIGIT(v, 0); } else if (likely(i == CPY_SIGN_ZERO)) { res = 0; } else if (i == ((1 << CPY_NON_SIZE_BITS) | CPY_SIGN_NEGATIVE)) { res = -(sdigit)CPY_LONG_DIGIT(v, 0); } else { // Slow path is moved to a non-inline helper function to // limit size of generated code int overflow_local; res = CPyLong_AsSsize_tAndOverflow_(vv, &overflow_local); *overflow = overflow_local; } return res; } #else // Adapted from longobject.c in Python 3.7.0 /* This function adapted from PyLong_AsLongLongAndOverflow, but with * some safety checks removed and specialized to only work for objects * that are already longs. * About half of the win this provides, though, just comes from being * able to inline the function, which in addition to saving function call * overhead allows the out-parameter overflow flag to be collapsed into * control flow. * Additionally, we check against the possible range of CPyTagged, not of * Py_ssize_t. */ static inline Py_ssize_t CPyLong_AsSsize_tAndOverflow(PyObject *vv, int *overflow) { /* This version by Tim Peters */ PyLongObject *v = (PyLongObject *)vv; Py_ssize_t res; Py_ssize_t i; *overflow = 0; res = -1; i = Py_SIZE(v); if (likely(i == 1)) { res = CPY_LONG_DIGIT(v, 0); } else if (likely(i == 0)) { res = 0; } else if (i == -1) { res = -(sdigit)CPY_LONG_DIGIT(v, 0); } else { // Slow path is moved to a non-inline helper function to // limit size of generated code int overflow_local; res = CPyLong_AsSsize_tAndOverflow_(vv, &overflow_local); *overflow = overflow_local; } return res; } #endif // Adapted from listobject.c in Python 3.7.0 static int list_resize(PyListObject *self, Py_ssize_t newsize) { PyObject **items; size_t new_allocated, num_allocated_bytes; Py_ssize_t allocated = self->allocated; /* Bypass realloc() when a previous overallocation is large enough to accommodate the newsize. If the newsize falls lower than half the allocated size, then proceed with the realloc() to shrink the list. */ if (allocated >= newsize && newsize >= (allocated >> 1)) { assert(self->ob_item != NULL || newsize == 0); Py_SET_SIZE(self, newsize); return 0; } /* This over-allocates proportional to the list size, making room * for additional growth. The over-allocation is mild, but is * enough to give linear-time amortized behavior over a long * sequence of appends() in the presence of a poorly-performing * system realloc(). * The growth pattern is: 0, 4, 8, 16, 25, 35, 46, 58, 72, 88, ... * Note: new_allocated won't overflow because the largest possible value * is PY_SSIZE_T_MAX * (9 / 8) + 6 which always fits in a size_t. */ new_allocated = (size_t)newsize + (newsize >> 3) + (newsize < 9 ? 3 : 6); if (new_allocated > (size_t)PY_SSIZE_T_MAX / sizeof(PyObject *)) { PyErr_NoMemory(); return -1; } if (newsize == 0) new_allocated = 0; num_allocated_bytes = new_allocated * sizeof(PyObject *); items = (PyObject **)PyMem_Realloc(self->ob_item, num_allocated_bytes); if (items == NULL) { PyErr_NoMemory(); return -1; } self->ob_item = items; Py_SET_SIZE(self, newsize); self->allocated = new_allocated; return 0; } // Changed to use PyList_SetSlice instead of the internal list_ass_slice static PyObject * list_pop_impl(PyListObject *self, Py_ssize_t index) { PyObject *v; int status; if (Py_SIZE(self) == 0) { /* Special-case most common failure cause */ PyErr_SetString(PyExc_IndexError, "pop from empty list"); return NULL; } if (index < 0) index += Py_SIZE(self); if (index < 0 || index >= Py_SIZE(self)) { PyErr_SetString(PyExc_IndexError, "pop index out of range"); return NULL; } v = self->ob_item[index]; if (index == Py_SIZE(self) - 1) { status = list_resize(self, Py_SIZE(self) - 1); if (status >= 0) return v; /* and v now owns the reference the list had */ else return NULL; } Py_INCREF(v); status = PyList_SetSlice((PyObject *)self, index, index+1, (PyObject *)NULL); if (status < 0) { Py_DECREF(v); return NULL; } return v; } // Tweaked to directly use CPyTagged static CPyTagged list_count(PyListObject *self, PyObject *value) { Py_ssize_t count = 0; Py_ssize_t i; for (i = 0; i < Py_SIZE(self); i++) { int cmp = PyObject_RichCompareBool(self->ob_item[i], value, Py_EQ); if (cmp > 0) count++; else if (cmp < 0) return CPY_INT_TAG; } return CPyTagged_ShortFromSsize_t(count); } // Adapted from genobject.c in Python 3.7.2 // Copied because it wasn't in 3.5.2 and it is undocumented anyways. /* * Set StopIteration with specified value. Value can be arbitrary object * or NULL. * * Returns 0 if StopIteration is set and -1 if any other exception is set. */ static int CPyGen_SetStopIterationValue(PyObject *value) { PyObject *e; if (value == NULL || (!PyTuple_Check(value) && !PyExceptionInstance_Check(value))) { /* Delay exception instantiation if we can */ PyErr_SetObject(PyExc_StopIteration, value); return 0; } /* Construct an exception instance manually with * PyObject_CallOneArg and pass it to PyErr_SetObject. * * We do this to handle a situation when "value" is a tuple, in which * case PyErr_SetObject would set the value of StopIteration to * the first element of the tuple. * * (See PyErr_SetObject/_PyErr_CreateException code for details.) */ e = PyObject_CallOneArg(PyExc_StopIteration, value); if (e == NULL) { return -1; } PyErr_SetObject(PyExc_StopIteration, e); Py_DECREF(e); return 0; } // Copied from dictobject.c and dictobject.h, these are not Public before // Python 3.8. Also remove some error checks that we do in the callers. typedef struct { PyObject_HEAD PyDictObject *dv_dict; } _CPyDictViewObject; static PyObject * _CPyDictView_New(PyObject *dict, PyTypeObject *type) { _CPyDictViewObject *dv = PyObject_GC_New(_CPyDictViewObject, type); if (dv == NULL) return NULL; Py_INCREF(dict); dv->dv_dict = (PyDictObject *)dict; PyObject_GC_Track(dv); return (PyObject *)dv; } #ifdef __cplusplus } #endif #if PY_VERSION_HEX >= 0x030A0000 // 3.10 static int _CPyObject_HasAttrId(PyObject *v, _Py_Identifier *name) { PyObject *tmp = NULL; int result = PyObject_GetOptionalAttrString(v, name->string, &tmp); if (tmp) { Py_DECREF(tmp); } return result; } #else #define _CPyObject_HasAttrId _PyObject_HasAttrId #endif #if CPY_3_12_FEATURES // These are copied from genobject.c in Python 3.12 static int gen_is_coroutine(PyObject *o) { if (PyGen_CheckExact(o)) { PyCodeObject *code = PyGen_GetCode((PyGenObject*)o); if (code->co_flags & CO_ITERABLE_COROUTINE) { return 1; } } return 0; } #else // Copied from genobject.c in Python 3.10 static int gen_is_coroutine(PyObject *o) { if (PyGen_CheckExact(o)) { PyCodeObject *code = (PyCodeObject *)((PyGenObject*)o)->gi_code; if (code->co_flags & CO_ITERABLE_COROUTINE) { return 1; } } return 0; } #endif /* * This helper function returns an awaitable for `o`: * - `o` if `o` is a coroutine-object; * - `type(o)->tp_as_async->am_await(o)` * * Raises a TypeError if it's not possible to return * an awaitable and returns NULL. */ static PyObject * CPyCoro_GetAwaitableIter(PyObject *o) { unaryfunc getter = NULL; PyTypeObject *ot; if (PyCoro_CheckExact(o) || gen_is_coroutine(o)) { /* 'o' is a coroutine. */ Py_INCREF(o); return o; } ot = Py_TYPE(o); if (ot->tp_as_async != NULL) { getter = ot->tp_as_async->am_await; } if (getter != NULL) { PyObject *res = (*getter)(o); if (res != NULL) { if (PyCoro_CheckExact(res) || gen_is_coroutine(res)) { /* __await__ must return an *iterator*, not a coroutine or another awaitable (see PEP 492) */ PyErr_SetString(PyExc_TypeError, "__await__() returned a coroutine"); Py_CLEAR(res); } else if (!PyIter_Check(res)) { PyErr_Format(PyExc_TypeError, "__await__() returned non-iterator " "of type '%.100s'", Py_TYPE(res)->tp_name); Py_CLEAR(res); } } return res; } PyErr_Format(PyExc_TypeError, "object %.100s can't be used in 'await' expression", ot->tp_name); return NULL; } #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/set_ops.c0000644000175100017510000000053715112307767016436 0ustar00runnerrunner// Set primitive operations // // These are registered in mypyc.primitives.set_ops. #include #include "CPy.h" bool CPySet_Remove(PyObject *set, PyObject *key) { int success = PySet_Discard(set, key); if (success == 1) { return true; } if (success == 0) { _PyErr_SetKeyError(key); } return false; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/setup.py0000644000175100017510000001274615112307767016335 0ustar00runnerrunner"""Build script for mypyc C runtime library and C API unit tests. The tests are written in C++ and use the Google Test framework. """ from __future__ import annotations import os import platform import subprocess import sys from distutils import ccompiler, sysconfig from typing import Any from setuptools import Extension, setup from setuptools.command.build_ext import build_ext C_APIS_TO_TEST = [ "init.c", "int_ops.c", "float_ops.c", "list_ops.c", "exc_ops.c", "generic_ops.c", "pythonsupport.c", ] EXTRA_FLAGS_PER_COMPILER_TYPE_PER_PATH_COMPONENT = { "unix": { "base64/arch/ssse3": ["-mssse3"], "base64/arch/sse41": ["-msse4.1"], "base64/arch/sse42": ["-msse4.2"], "base64/arch/avx2": ["-mavx2"], "base64/arch/avx": ["-mavx"], }, "msvc": { "base64/arch/sse42": ["/arch:SSE4.2"], "base64/arch/avx2": ["/arch:AVX2"], "base64/arch/avx": ["/arch:AVX"], }, } ccompiler.CCompiler.__spawn = ccompiler.CCompiler.spawn # type: ignore[attr-defined] X86_64 = platform.machine() in ("x86_64", "AMD64", "amd64") def spawn(self, cmd, **kwargs) -> None: # type: ignore[no-untyped-def] compiler_type: str = self.compiler_type extra_options = EXTRA_FLAGS_PER_COMPILER_TYPE_PER_PATH_COMPONENT[compiler_type] new_cmd = list(cmd) if X86_64 and extra_options is not None: # filenames are closer to the end of command line for argument in reversed(new_cmd): # Check if the matching argument contains a source filename. if not str(argument).endswith(".c"): continue for path in extra_options.keys(): if path in str(argument): if compiler_type == "bcpp": compiler = new_cmd.pop() # Borland accepts a source file name at the end, # insert the options before it new_cmd.extend(extra_options[path]) new_cmd.append(compiler) else: new_cmd.extend(extra_options[path]) # path component is found, no need to search any further break self.__spawn(new_cmd, **kwargs) ccompiler.CCompiler.spawn = spawn # type: ignore[method-assign] class BuildExtGtest(build_ext): def get_library_names(self) -> list[str]: return ["gtest"] def run(self) -> None: # Build Google Test, the C++ framework we use for testing C code. # The source code for Google Test is copied to this repository. gtest_dir = os.path.abspath( os.path.join(os.path.dirname(__file__), "..", "external", "googletest") ) os.makedirs(self.build_temp, exist_ok=True) subprocess.check_call( ["make", "-f", os.path.join(gtest_dir, "make", "Makefile"), f"GTEST_DIR={gtest_dir}"], cwd=self.build_temp, ) self.library_dirs = [self.build_temp] return build_ext.run(self) if "--run-capi-tests" in sys.argv: sys.argv.pop() kwargs: dict[str, Any] if sys.platform == "darwin": kwargs = {"language": "c++"} compile_args = [] else: kwargs = {} compile_args = ["--std=c++11"] setup( name="test_capi", version="0.1", ext_modules=[ Extension( "test_capi", ["test_capi.cc"] + C_APIS_TO_TEST, depends=["CPy.h", "mypyc_util.h", "pythonsupport.h"], extra_compile_args=["-Wno-unused-function", "-Wno-sign-compare"] + compile_args, libraries=["gtest"], include_dirs=["../external/googletest", "../external/googletest/include"], **kwargs, ) ], cmdclass={"build_ext": BuildExtGtest}, ) else: # TODO: we need a way to share our preferred C flags and get_extension() logic with # mypyc/build.py without code duplication. compiler = ccompiler.new_compiler() sysconfig.customize_compiler(compiler) cflags: list[str] = [] if compiler.compiler_type == "unix": # type: ignore[attr-defined] cflags += ["-O3"] elif compiler.compiler_type == "msvc": # type: ignore[attr-defined] cflags += ["/O2"] setup( ext_modules=[ Extension( "librt.internal", [ "librt_internal.c", "init.c", "int_ops.c", "exc_ops.c", "pythonsupport.c", "getargsfast.c", ], include_dirs=["."], extra_compile_args=cflags, ), Extension( "librt.base64", [ "librt_base64.c", "base64/lib.c", "base64/codec_choose.c", "base64/tables/tables.c", "base64/arch/generic/codec.c", "base64/arch/ssse3/codec.c", "base64/arch/sse41/codec.c", "base64/arch/sse42/codec.c", "base64/arch/avx/codec.c", "base64/arch/avx2/codec.c", "base64/arch/avx512/codec.c", "base64/arch/neon32/codec.c", "base64/arch/neon64/codec.c", ], include_dirs=[".", "base64"], extra_compile_args=cflags, ), ] ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/str_ops.c0000644000175100017510000005044315112307767016454 0ustar00runnerrunner#include "pythoncapi_compat.h" // String primitive operations // // These are registered in mypyc.primitives.str_ops. #include #include "CPy.h" // The _PyUnicode_CheckConsistency definition has been moved to the internal API // https://github.com/python/cpython/pull/106398 #if defined(Py_DEBUG) && defined(CPY_3_13_FEATURES) #include "internal/pycore_unicodeobject.h" #endif // Copied from cpython.git:Objects/unicodeobject.c@0ef4ffeefd1737c18dc9326133c7894d58108c2e. #define BLOOM_MASK unsigned long #define BLOOM(mask, ch) ((mask & (1UL << ((ch) & (BLOOM_WIDTH - 1))))) #if LONG_BIT >= 128 #define BLOOM_WIDTH 128 #elif LONG_BIT >= 64 #define BLOOM_WIDTH 64 #elif LONG_BIT >= 32 #define BLOOM_WIDTH 32 #else #error "LONG_BIT is smaller than 32" #endif // Copied from cpython.git:Objects/unicodeobject.c@0ef4ffeefd1737c18dc9326133c7894d58108c2e. // This is needed for str.strip("..."). static inline BLOOM_MASK make_bloom_mask(int kind, const void* ptr, Py_ssize_t len) { #define BLOOM_UPDATE(TYPE, MASK, PTR, LEN) \ do { \ TYPE *data = (TYPE *)PTR; \ TYPE *end = data + LEN; \ Py_UCS4 ch; \ for (; data != end; data++) { \ ch = *data; \ MASK |= (1UL << (ch & (BLOOM_WIDTH - 1))); \ } \ break; \ } while (0) /* calculate simple bloom-style bitmask for a given unicode string */ BLOOM_MASK mask; mask = 0; switch (kind) { case PyUnicode_1BYTE_KIND: BLOOM_UPDATE(Py_UCS1, mask, ptr, len); break; case PyUnicode_2BYTE_KIND: BLOOM_UPDATE(Py_UCS2, mask, ptr, len); break; case PyUnicode_4BYTE_KIND: BLOOM_UPDATE(Py_UCS4, mask, ptr, len); break; default: Py_UNREACHABLE(); } return mask; #undef BLOOM_UPDATE } static inline char _CPyStr_Equal_NoIdentCheck(PyObject *str1, PyObject *str2, Py_ssize_t str2_length) { // This helper function only exists to deduplicate code in CPyStr_Equal and CPyStr_EqualLiteral Py_ssize_t str1_length = PyUnicode_GET_LENGTH(str1); if (str1_length != str2_length) return 0; int kind = PyUnicode_KIND(str1); if (PyUnicode_KIND(str2) != kind) return 0; const void *data1 = PyUnicode_DATA(str1); const void *data2 = PyUnicode_DATA(str2); return memcmp(data1, data2, str1_length * kind) == 0; } // Adapted from CPython 3.13.1 (_PyUnicode_Equal) char CPyStr_Equal(PyObject *str1, PyObject *str2) { if (str1 == str2) { return 1; } Py_ssize_t str2_length = PyUnicode_GET_LENGTH(str2); return _CPyStr_Equal_NoIdentCheck(str1, str2, str2_length); } char CPyStr_EqualLiteral(PyObject *str, PyObject *literal_str, Py_ssize_t literal_length) { if (str == literal_str) { return 1; } return _CPyStr_Equal_NoIdentCheck(str, literal_str, literal_length); } PyObject *CPyStr_GetItem(PyObject *str, CPyTagged index) { if (PyUnicode_READY(str) != -1) { if (CPyTagged_CheckShort(index)) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); Py_ssize_t size = PyUnicode_GET_LENGTH(str); if (n < 0) n += size; if (n < 0 || n >= size) { PyErr_SetString(PyExc_IndexError, "string index out of range"); return NULL; } enum PyUnicode_Kind kind = (enum PyUnicode_Kind)PyUnicode_KIND(str); void *data = PyUnicode_DATA(str); Py_UCS4 ch = PyUnicode_READ(kind, data, n); PyObject *unicode = PyUnicode_New(1, ch); if (unicode == NULL) return NULL; if (PyUnicode_KIND(unicode) == PyUnicode_1BYTE_KIND) { PyUnicode_1BYTE_DATA(unicode)[0] = (Py_UCS1)ch; } else if (PyUnicode_KIND(unicode) == PyUnicode_2BYTE_KIND) { PyUnicode_2BYTE_DATA(unicode)[0] = (Py_UCS2)ch; } else { assert(PyUnicode_KIND(unicode) == PyUnicode_4BYTE_KIND); PyUnicode_4BYTE_DATA(unicode)[0] = ch; } return unicode; } else { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return NULL; } } else { PyObject *index_obj = CPyTagged_AsObject(index); return PyObject_GetItem(str, index_obj); } } PyObject *CPyStr_GetItemUnsafe(PyObject *str, Py_ssize_t index) { // This is unsafe since we don't check for overflow when doing <<. return CPyStr_GetItem(str, index << 1); } // A simplification of _PyUnicode_JoinArray() from CPython 3.9.6 PyObject *CPyStr_Build(Py_ssize_t len, ...) { Py_ssize_t i; va_list args; // Calculate the total amount of space and check // whether all components have the same kind. Py_ssize_t sz = 0; Py_UCS4 maxchar = 0; int use_memcpy = 1; // Use memcpy by default PyObject *last_obj = NULL; va_start(args, len); for (i = 0; i < len; i++) { PyObject *item = va_arg(args, PyObject *); if (!PyUnicode_Check(item)) { PyErr_Format(PyExc_TypeError, "sequence item %zd: expected str instance," " %.80s found", i, Py_TYPE(item)->tp_name); return NULL; } if (PyUnicode_READY(item) == -1) return NULL; size_t add_sz = PyUnicode_GET_LENGTH(item); Py_UCS4 item_maxchar = PyUnicode_MAX_CHAR_VALUE(item); maxchar = Py_MAX(maxchar, item_maxchar); // Using size_t to avoid overflow during arithmetic calculation if (add_sz > (size_t)(PY_SSIZE_T_MAX - sz)) { PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string"); return NULL; } sz += add_sz; // If these strings have different kind, we would call // _PyUnicode_FastCopyCharacters() in the following part. if (use_memcpy && last_obj != NULL) { if (PyUnicode_KIND(last_obj) != PyUnicode_KIND(item)) use_memcpy = 0; } last_obj = item; } va_end(args); // Construct the string PyObject *res = PyUnicode_New(sz, maxchar); if (res == NULL) return NULL; if (use_memcpy) { unsigned char *res_data = PyUnicode_1BYTE_DATA(res); unsigned int kind = PyUnicode_KIND(res); va_start(args, len); for (i = 0; i < len; ++i) { PyObject *item = va_arg(args, PyObject *); Py_ssize_t itemlen = PyUnicode_GET_LENGTH(item); if (itemlen != 0) { memcpy(res_data, PyUnicode_DATA(item), kind * itemlen); res_data += kind * itemlen; } } va_end(args); assert(res_data == PyUnicode_1BYTE_DATA(res) + kind * PyUnicode_GET_LENGTH(res)); } else { Py_ssize_t res_offset = 0; va_start(args, len); for (i = 0; i < len; ++i) { PyObject *item = va_arg(args, PyObject *); Py_ssize_t itemlen = PyUnicode_GET_LENGTH(item); if (itemlen != 0) { #if CPY_3_13_FEATURES PyUnicode_CopyCharacters(res, res_offset, item, 0, itemlen); #else _PyUnicode_FastCopyCharacters(res, res_offset, item, 0, itemlen); #endif res_offset += itemlen; } } va_end(args); assert(res_offset == PyUnicode_GET_LENGTH(res)); } #ifdef Py_DEBUG assert(_PyUnicode_CheckConsistency(res, 1)); #endif return res; } CPyTagged CPyStr_Find(PyObject *str, PyObject *substr, CPyTagged start, int direction) { CPyTagged end = PyUnicode_GET_LENGTH(str) << 1; return CPyStr_FindWithEnd(str, substr, start, end, direction); } CPyTagged CPyStr_FindWithEnd(PyObject *str, PyObject *substr, CPyTagged start, CPyTagged end, int direction) { Py_ssize_t temp_start = CPyTagged_AsSsize_t(start); if (temp_start == -1 && PyErr_Occurred()) { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return CPY_INT_TAG; } Py_ssize_t temp_end = CPyTagged_AsSsize_t(end); if (temp_end == -1 && PyErr_Occurred()) { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return CPY_INT_TAG; } Py_ssize_t index = PyUnicode_Find(str, substr, temp_start, temp_end, direction); if (unlikely(index == -2)) { return CPY_INT_TAG; } return index << 1; } PyObject *CPyStr_Split(PyObject *str, PyObject *sep, CPyTagged max_split) { Py_ssize_t temp_max_split = CPyTagged_AsSsize_t(max_split); if (temp_max_split == -1 && PyErr_Occurred()) { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return NULL; } return PyUnicode_Split(str, sep, temp_max_split); } PyObject *CPyStr_RSplit(PyObject *str, PyObject *sep, CPyTagged max_split) { Py_ssize_t temp_max_split = CPyTagged_AsSsize_t(max_split); if (temp_max_split == -1 && PyErr_Occurred()) { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return NULL; } return PyUnicode_RSplit(str, sep, temp_max_split); } // This function has been copied from _PyUnicode_XStrip in cpython.git:Objects/unicodeobject.c@0ef4ffeefd1737c18dc9326133c7894d58108c2e. static PyObject *_PyStr_XStrip(PyObject *self, int striptype, PyObject *sepobj) { const void *data; int kind; Py_ssize_t i, j, len; BLOOM_MASK sepmask; Py_ssize_t seplen; // This check is needed from Python 3.9 and earlier. if (PyUnicode_READY(self) == -1 || PyUnicode_READY(sepobj) == -1) return NULL; kind = PyUnicode_KIND(self); data = PyUnicode_DATA(self); len = PyUnicode_GET_LENGTH(self); seplen = PyUnicode_GET_LENGTH(sepobj); sepmask = make_bloom_mask(PyUnicode_KIND(sepobj), PyUnicode_DATA(sepobj), seplen); i = 0; if (striptype != RIGHTSTRIP) { while (i < len) { Py_UCS4 ch = PyUnicode_READ(kind, data, i); if (!BLOOM(sepmask, ch)) break; if (PyUnicode_FindChar(sepobj, ch, 0, seplen, 1) < 0) break; i++; } } j = len; if (striptype != LEFTSTRIP) { j--; while (j >= i) { Py_UCS4 ch = PyUnicode_READ(kind, data, j); if (!BLOOM(sepmask, ch)) break; if (PyUnicode_FindChar(sepobj, ch, 0, seplen, 1) < 0) break; j--; } j++; } return PyUnicode_Substring(self, i, j); } // Copied from do_strip function in cpython.git/Objects/unicodeobject.c@0ef4ffeefd1737c18dc9326133c7894d58108c2e. PyObject *_CPyStr_Strip(PyObject *self, int strip_type, PyObject *sep) { if (sep == NULL || Py_IsNone(sep)) { Py_ssize_t len, i, j; // This check is needed from Python 3.9 and earlier. if (PyUnicode_READY(self) == -1) return NULL; len = PyUnicode_GET_LENGTH(self); if (PyUnicode_IS_ASCII(self)) { const Py_UCS1 *data = PyUnicode_1BYTE_DATA(self); i = 0; if (strip_type != RIGHTSTRIP) { while (i < len) { Py_UCS1 ch = data[i]; if (!_Py_ascii_whitespace[ch]) break; i++; } } j = len; if (strip_type != LEFTSTRIP) { j--; while (j >= i) { Py_UCS1 ch = data[j]; if (!_Py_ascii_whitespace[ch]) break; j--; } j++; } } else { int kind = PyUnicode_KIND(self); const void *data = PyUnicode_DATA(self); i = 0; if (strip_type != RIGHTSTRIP) { while (i < len) { Py_UCS4 ch = PyUnicode_READ(kind, data, i); if (!Py_UNICODE_ISSPACE(ch)) break; i++; } } j = len; if (strip_type != LEFTSTRIP) { j--; while (j >= i) { Py_UCS4 ch = PyUnicode_READ(kind, data, j); if (!Py_UNICODE_ISSPACE(ch)) break; j--; } j++; } } return PyUnicode_Substring(self, i, j); } return _PyStr_XStrip(self, strip_type, sep); } PyObject *CPyStr_Replace(PyObject *str, PyObject *old_substr, PyObject *new_substr, CPyTagged max_replace) { Py_ssize_t temp_max_replace = CPyTagged_AsSsize_t(max_replace); if (temp_max_replace == -1 && PyErr_Occurred()) { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return NULL; } return PyUnicode_Replace(str, old_substr, new_substr, temp_max_replace); } int CPyStr_Startswith(PyObject *self, PyObject *subobj) { Py_ssize_t start = 0; Py_ssize_t end = PyUnicode_GET_LENGTH(self); if (PyTuple_Check(subobj)) { Py_ssize_t i; for (i = 0; i < PyTuple_GET_SIZE(subobj); i++) { PyObject *substring = PyTuple_GET_ITEM(subobj, i); if (!PyUnicode_Check(substring)) { PyErr_Format(PyExc_TypeError, "tuple for startswith must only contain str, " "not %.100s", Py_TYPE(substring)->tp_name); return 2; } int result = PyUnicode_Tailmatch(self, substring, start, end, -1); if (result) { return 1; } } return 0; } return PyUnicode_Tailmatch(self, subobj, start, end, -1); } int CPyStr_Endswith(PyObject *self, PyObject *subobj) { Py_ssize_t start = 0; Py_ssize_t end = PyUnicode_GET_LENGTH(self); if (PyTuple_Check(subobj)) { Py_ssize_t i; for (i = 0; i < PyTuple_GET_SIZE(subobj); i++) { PyObject *substring = PyTuple_GET_ITEM(subobj, i); if (!PyUnicode_Check(substring)) { PyErr_Format(PyExc_TypeError, "tuple for endswith must only contain str, " "not %.100s", Py_TYPE(substring)->tp_name); return 2; } int result = PyUnicode_Tailmatch(self, substring, start, end, 1); if (result) { return 1; } } return 0; } return PyUnicode_Tailmatch(self, subobj, start, end, 1); } PyObject *CPyStr_Removeprefix(PyObject *self, PyObject *prefix) { Py_ssize_t end = PyUnicode_GET_LENGTH(self); int match = PyUnicode_Tailmatch(self, prefix, 0, end, -1); if (match) { Py_ssize_t prefix_end = PyUnicode_GET_LENGTH(prefix); return PyUnicode_Substring(self, prefix_end, end); } return Py_NewRef(self); } PyObject *CPyStr_Removesuffix(PyObject *self, PyObject *suffix) { Py_ssize_t end = PyUnicode_GET_LENGTH(self); int match = PyUnicode_Tailmatch(self, suffix, 0, end, 1); if (match) { Py_ssize_t suffix_end = PyUnicode_GET_LENGTH(suffix); return PyUnicode_Substring(self, 0, end - suffix_end); } return Py_NewRef(self); } /* This does a dodgy attempt to append in place */ PyObject *CPyStr_Append(PyObject *o1, PyObject *o2) { PyUnicode_Append(&o1, o2); return o1; } PyObject *CPyStr_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end) { if (likely(PyUnicode_CheckExact(obj) && CPyTagged_CheckShort(start) && CPyTagged_CheckShort(end))) { Py_ssize_t startn = CPyTagged_ShortAsSsize_t(start); Py_ssize_t endn = CPyTagged_ShortAsSsize_t(end); if (startn < 0) { startn += PyUnicode_GET_LENGTH(obj); if (startn < 0) { startn = 0; } } if (endn < 0) { endn += PyUnicode_GET_LENGTH(obj); if (endn < 0) { endn = 0; } } return PyUnicode_Substring(obj, startn, endn); } return CPyObject_GetSlice(obj, start, end); } /* Check if the given string is true (i.e. its length isn't zero) */ bool CPyStr_IsTrue(PyObject *obj) { Py_ssize_t length = PyUnicode_GET_LENGTH(obj); return length != 0; } Py_ssize_t CPyStr_Size_size_t(PyObject *str) { if (PyUnicode_READY(str) != -1) { return PyUnicode_GET_LENGTH(str); } return -1; } PyObject *CPy_Decode(PyObject *obj, PyObject *encoding, PyObject *errors) { const char *enc = NULL; const char *err = NULL; if (encoding) { enc = PyUnicode_AsUTF8AndSize(encoding, NULL); if (!enc) return NULL; } if (errors) { err = PyUnicode_AsUTF8AndSize(errors, NULL); if (!err) return NULL; } if (PyBytes_Check(obj)) { return PyUnicode_Decode(((PyBytesObject *)obj)->ob_sval, ((PyVarObject *)obj)->ob_size, enc, err); } else { return PyUnicode_FromEncodedObject(obj, enc, err); } } PyObject *CPy_DecodeUTF8(PyObject *bytes) { if (PyBytes_CheckExact(bytes)) { char *buffer = PyBytes_AsString(bytes); // Borrowed reference if (buffer == NULL) { return NULL; } Py_ssize_t size = PyBytes_Size(bytes); return PyUnicode_DecodeUTF8(buffer, size, "strict"); } else { return PyUnicode_FromEncodedObject(bytes, "utf-8", "strict"); } } PyObject *CPy_DecodeASCII(PyObject *bytes) { if (PyBytes_CheckExact(bytes)) { char *buffer = PyBytes_AsString(bytes); // Borrowed reference if (buffer == NULL) { return NULL; } Py_ssize_t size = PyBytes_Size(bytes); return PyUnicode_DecodeASCII(buffer, size, "strict");; } else { return PyUnicode_FromEncodedObject(bytes, "ascii", "strict"); } } PyObject *CPy_DecodeLatin1(PyObject *bytes) { if (PyBytes_CheckExact(bytes)) { char *buffer = PyBytes_AsString(bytes); // Borrowed reference if (buffer == NULL) { return NULL; } Py_ssize_t size = PyBytes_Size(bytes); return PyUnicode_DecodeLatin1(buffer, size, "strict"); } else { return PyUnicode_FromEncodedObject(bytes, "latin1", "strict"); } } PyObject *CPy_Encode(PyObject *obj, PyObject *encoding, PyObject *errors) { const char *enc = NULL; const char *err = NULL; if (encoding) { enc = PyUnicode_AsUTF8AndSize(encoding, NULL); if (!enc) return NULL; } if (errors) { err = PyUnicode_AsUTF8AndSize(errors, NULL); if (!err) return NULL; } if (PyUnicode_Check(obj)) { return PyUnicode_AsEncodedString(obj, enc, err); } else { PyErr_BadArgument(); return NULL; } } Py_ssize_t CPyStr_Count(PyObject *unicode, PyObject *substring, CPyTagged start) { Py_ssize_t temp_start = CPyTagged_AsSsize_t(start); if (temp_start == -1 && PyErr_Occurred()) { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return -1; } Py_ssize_t end = PyUnicode_GET_LENGTH(unicode); return PyUnicode_Count(unicode, substring, temp_start, end); } Py_ssize_t CPyStr_CountFull(PyObject *unicode, PyObject *substring, CPyTagged start, CPyTagged end) { Py_ssize_t temp_start = CPyTagged_AsSsize_t(start); if (temp_start == -1 && PyErr_Occurred()) { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return -1; } Py_ssize_t temp_end = CPyTagged_AsSsize_t(end); if (temp_end == -1 && PyErr_Occurred()) { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return -1; } return PyUnicode_Count(unicode, substring, temp_start, temp_end); } CPyTagged CPyStr_Ord(PyObject *obj) { Py_ssize_t s = PyUnicode_GET_LENGTH(obj); if (s == 1) { int kind = PyUnicode_KIND(obj); return PyUnicode_READ(kind, PyUnicode_DATA(obj), 0) << 1; } PyErr_Format( PyExc_TypeError, "ord() expected a character, but a string of length %zd found", s); return CPY_INT_TAG; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/test_capi.cc0000644000175100017510000004603415112307767017102 0ustar00runnerrunner// Test cases #include #include #include "CPy.h" static PyObject *moduleDict; static PyObject *int_from_str(const char *str) { return PyLong_FromString(str, 0, 10); } static std::string str_from_object(PyObject *x) { PyObject *str = PyObject_Str(x); const char *utf8 = PyUnicode_AsUTF8(str); return std::string(utf8); } static std::string str_from_int(CPyTagged x) { return str_from_object(CPyTagged_AsObject(x)); } static bool is_py_equal(PyObject *x, PyObject *y) { int result = PyObject_RichCompareBool(x, y, Py_EQ); if (result < 0) { std::cout << "ERROR: Rich compare failed"; } return result == 1; } static bool is_int_equal(CPyTagged x, CPyTagged y) { if (CPyTagged_CheckShort(x)) { return x == y; } else if (CPyTagged_CheckShort(y)) { return false; } else { return is_py_equal(CPyTagged_LongAsObject(x), CPyTagged_LongAsObject(y)); } } static void fail(std::string message) { std::cerr << message << "\n"; exit(1); } static PyObject *eval(std::string expr) { PyObject *dict = PyDict_New(); auto result = PyRun_String(expr.c_str(), Py_eval_input, moduleDict, dict); Py_DECREF(dict); if (result == 0) { fail("Python exception"); } return result; } static CPyTagged eval_int(std::string expr) { auto o = eval(expr); EXPECT_TRUE(PyLong_Check(o)); return CPyTagged_FromObject(o); } static PyObject *empty_list() { PyObject *list = PyList_New(0); EXPECT_TRUE(list); return list; } static void list_append(PyObject *list, std::string expr) { PyObject *obj = eval(expr); int result = PyList_Append(list, obj); EXPECT_TRUE(result == 0); } class CAPITest : public ::testing::Test { protected: PyObject *max_short; PyObject *min_short; PyObject *min_pos_long; PyObject *max_neg_long; Py_ssize_t c_max_short; Py_ssize_t c_min_short; Py_ssize_t c_min_pos_long; Py_ssize_t c_max_neg_long; virtual void SetUp() { if (!moduleDict) { fail("Could not find module dictionary"); } c_max_short = CPY_TAGGED_MAX; // 2**62-1 c_min_pos_long = c_max_short + 1; // 2**62 c_min_short = CPY_TAGGED_MIN; // -2**62 c_max_neg_long = c_min_short - 1; // -(2**62+1) max_short = PyLong_FromSsize_t(c_max_short); min_pos_long = PyLong_FromSsize_t(c_min_pos_long); min_short = PyLong_FromSsize_t(c_min_short); max_neg_long = PyLong_FromSsize_t(c_max_neg_long); } virtual void TearDown() { Py_DECREF(max_short); Py_DECREF(min_pos_long); Py_DECREF(min_short); Py_DECREF(max_neg_long); } }; TEST_F(CAPITest, test_cint_conversions) { EXPECT_EQ(CPyTagged_ShortFromInt(0), 0); EXPECT_EQ(CPyTagged_ShortFromInt(3), 6); EXPECT_EQ(CPyTagged_ShortFromInt(-5), -10); EXPECT_EQ(CPyTagged_ShortAsSsize_t(0), 0); EXPECT_EQ(CPyTagged_ShortAsSsize_t(6), 3); EXPECT_EQ(CPyTagged_ShortAsSsize_t(-10), -5); } TEST_F(CAPITest, test_is_long_int) { EXPECT_TRUE(CPyTagged_CheckLong(1)); EXPECT_TRUE(CPyTagged_CheckLong(15)); EXPECT_FALSE(CPyTagged_CheckLong(0)); EXPECT_FALSE(CPyTagged_CheckLong(6)); EXPECT_FALSE(CPyTagged_CheckLong(-4)); } TEST_F(CAPITest, test_is_short_int) { EXPECT_FALSE(CPyTagged_CheckShort(1)); EXPECT_FALSE(CPyTagged_CheckShort(15)); EXPECT_TRUE(CPyTagged_CheckShort(0)); EXPECT_TRUE(CPyTagged_CheckShort(6)); EXPECT_TRUE(CPyTagged_CheckShort(-4)); } TEST_F(CAPITest, test_obj_to_short_int) { EXPECT_EQ(CPyTagged_FromObject(int_from_str("0")), CPyTagged_ShortFromInt(0)); EXPECT_EQ(CPyTagged_FromObject(int_from_str("1234")), CPyTagged_ShortFromInt(1234)); EXPECT_EQ(CPyTagged_FromObject(int_from_str("-1234")), CPyTagged_ShortFromInt(-1234)); EXPECT_EQ(CPyTagged_FromObject(max_short), CPyTagged_ShortFromSsize_t(c_max_short)); EXPECT_EQ(CPyTagged_FromObject(min_short), CPyTagged_ShortFromSsize_t(c_min_short)); } TEST_F(CAPITest, test_obj_to_long_int) { // A value larger than 2**64 PyObject *large = int_from_str("18464758493694263305"); PyObject *small = int_from_str("-18464758493694263305"); CPyTagged x; x = CPyTagged_FromObject(large); ASSERT_TRUE(CPyTagged_CheckLong(x)); EXPECT_TRUE(is_py_equal(large, CPyTagged_LongAsObject(x))); x = CPyTagged_FromObject(small); ASSERT_TRUE(CPyTagged_CheckLong(x)); EXPECT_TRUE(is_py_equal(small, CPyTagged_LongAsObject(x))); x = CPyTagged_FromObject(min_pos_long); ASSERT_TRUE(CPyTagged_CheckLong(x)); EXPECT_TRUE(is_py_equal(min_pos_long, CPyTagged_LongAsObject(x))); x = CPyTagged_FromObject(max_neg_long); ASSERT_TRUE(CPyTagged_CheckLong(x)); EXPECT_TRUE(is_py_equal(max_neg_long, CPyTagged_LongAsObject(x))); } TEST_F(CAPITest, test_short_int_to_obj) { EXPECT_TRUE(is_py_equal(CPyTagged_AsObject(CPyTagged_ShortFromInt(0)), int_from_str("0"))); EXPECT_TRUE(is_py_equal(CPyTagged_AsObject(CPyTagged_ShortFromInt(1234)), int_from_str("1234"))); EXPECT_TRUE(is_py_equal(CPyTagged_AsObject(CPyTagged_ShortFromInt(-1234)), int_from_str("-1234"))); EXPECT_TRUE(is_py_equal(CPyTagged_AsObject(CPyTagged_ShortFromSsize_t(c_max_short)), max_short)); EXPECT_TRUE(is_py_equal(CPyTagged_AsObject(CPyTagged_ShortFromSsize_t(c_min_short)), min_short)); } TEST_F(CAPITest, test_long_int_to_obj) { // A value larger than 2**64 PyObject *large = int_from_str("18464758493694263305"); PyObject *small = int_from_str("-18464758493694263305"); PyObject *x; x = CPyTagged_AsObject(CPyTagged_FromObject(large)); EXPECT_TRUE(is_py_equal(large, x)); x = CPyTagged_AsObject(CPyTagged_FromObject(small)); EXPECT_TRUE(is_py_equal(small, x)); x = CPyTagged_AsObject(CPyTagged_FromObject(min_pos_long)); EXPECT_TRUE(is_py_equal(min_pos_long, x)); x = CPyTagged_AsObject(CPyTagged_FromObject(max_neg_long)); EXPECT_TRUE(is_py_equal(max_neg_long, x)); } #define EXPECT_INT_EQUAL(x, y) \ do { \ if (!is_int_equal(x, y)) \ std::cout << "Failure: " << str_from_int(x) << " != " << str_from_int(y) << \ "\n"; \ EXPECT_TRUE(is_int_equal(x, y)); \ } while (false) #define ASSERT_ADD(x, y, result) \ EXPECT_TRUE(is_int_equal(CPyTagged_Add(eval_int(x), eval_int(y)), eval_int(result))) TEST_F(CAPITest, test_add_short_int) { ASSERT_ADD("13", "8", "21"); ASSERT_ADD("-13", "8", "-5"); ASSERT_ADD("13", "-7", "6"); ASSERT_ADD("13", "-14", "-1"); ASSERT_ADD("-3", "-5", "-8"); } TEST_F(CAPITest, test_add_long_ints) { ASSERT_ADD("2**64", "2**65", "2**64 + 2**65"); ASSERT_ADD("2**64", "-2**65", "2**64 - 2**65"); } TEST_F(CAPITest, test_add_long_and_short) { ASSERT_ADD("1", "2**65", "1 + 2**65"); ASSERT_ADD("2**65", "1", "1 + 2**65"); } TEST_F(CAPITest, test_add_short_overflow) { // Overfloat ASSERT_ADD("2**62 - 1", "1", "2**62"); ASSERT_ADD("-2**62", "-1", "-2**62 - 1"); } TEST_F(CAPITest, test_add_short_edge_cases) { // Close but not quite overflow ASSERT_ADD("2**62 - 2", "1", "2**62 - 1"); ASSERT_ADD("-2**62 + 1", "-1", "-2**62"); // Max magnitudes ASSERT_ADD("2**62 - 1", "2**62 - 1", "2**63 - 2"); ASSERT_ADD("2**62 - 1", "-2**62", "-1"); } #define ASSERT_SUBTRACT(x, y, result) \ EXPECT_TRUE(is_int_equal(CPyTagged_Subtract(eval_int(x), eval_int(y)), eval_int(result))) TEST_F(CAPITest, test_subtract_short_int) { ASSERT_SUBTRACT("13", "8", "5"); ASSERT_SUBTRACT("8", "13", "-5"); ASSERT_SUBTRACT("-13", "8", "-21"); ASSERT_SUBTRACT("13", "-7", "20"); ASSERT_SUBTRACT("-3", "-5", "2"); } TEST_F(CAPITest, test_subtract_long_int) { ASSERT_SUBTRACT("2**65", "2**64", "2**65 - 2**64"); ASSERT_SUBTRACT("2**65", "-2**64", "2**65 + 2**64"); } TEST_F(CAPITest, test_subtract_long_and_short) { ASSERT_SUBTRACT("1", "2**65", "1 - 2**65"); ASSERT_SUBTRACT("2**65", "1", "2**65 - 1"); } TEST_F(CAPITest, test_subtract_short_overflow) { ASSERT_SUBTRACT("2**62-1", "-1", "2**62"); ASSERT_SUBTRACT("-2**62", "1", "-2**62 - 1"); ASSERT_SUBTRACT("0", "-2**62", "2**62"); ASSERT_SUBTRACT("1", "-2**62 + 1", "2**62"); ASSERT_SUBTRACT("-2", "2**62 - 1", "-2**62 - 1"); } TEST_F(CAPITest, test_subtract_short_edge_cases) { // Close but not quite overflow ASSERT_SUBTRACT("2**62 - 2", "-1", "2**62 - 1"); ASSERT_SUBTRACT("-2**62 + 1", "1", "-2**62"); // Max magnitudes ASSERT_SUBTRACT("2**62 - 1", "-2**62", "2**63 - 1"); ASSERT_SUBTRACT("-2**62", "2**62 - 1", "-2**63 + 1"); } #define ASSERT_MULTIPLY(x, y, result) \ EXPECT_TRUE(is_int_equal(CPyTagged_Multiply(eval_int(x), eval_int(y)), eval_int(result))) TEST_F(CAPITest, test_multiply_int) { ASSERT_MULTIPLY("0", "0", "0"); ASSERT_MULTIPLY("3", "5", "15"); ASSERT_MULTIPLY("2**40", "2**40", "2**80"); ASSERT_MULTIPLY("2**30-1", "2**30-1", "(2**30-1)**2"); ASSERT_MULTIPLY("2**30", "2**30-1", "2**30 * (2**30-1)"); ASSERT_MULTIPLY("2**30-1", "2**30", "2**30 * (2**30-1)"); ASSERT_MULTIPLY("2**15", "2**15-1", "2**15 * (2**15-1)"); ASSERT_MULTIPLY("2**15-1", "2**15", "2**15 * (2**15-1)"); ASSERT_MULTIPLY("3", "-5", "-15"); ASSERT_MULTIPLY("-3", "5", "-15"); ASSERT_MULTIPLY("-3", "-5", "15"); } #define ASSERT_FLOOR_DIV(x, y, result) \ EXPECT_INT_EQUAL(CPyTagged_FloorDivide(eval_int(x), eval_int(y)), eval_int(result)) TEST_F(CAPITest, test_floor_divide_short_int) { ASSERT_FLOOR_DIV("18", "6", "3"); ASSERT_FLOOR_DIV("17", "6", "2"); ASSERT_FLOOR_DIV("12", "6", "2"); ASSERT_FLOOR_DIV("15", "5", "3"); ASSERT_FLOOR_DIV("14", "5", "2"); ASSERT_FLOOR_DIV("11", "5", "2"); ASSERT_FLOOR_DIV("-18", "6", "-3"); ASSERT_FLOOR_DIV("-13", "6", "-3"); ASSERT_FLOOR_DIV("-12", "6", "-2"); ASSERT_FLOOR_DIV("18", "-6", "-3"); ASSERT_FLOOR_DIV("13", "-6", "-3"); ASSERT_FLOOR_DIV("12", "-6", "-2"); ASSERT_FLOOR_DIV("-3", "-3", "1"); ASSERT_FLOOR_DIV("-5", "-3", "1"); ASSERT_FLOOR_DIV("-6", "-3", "2"); ASSERT_FLOOR_DIV("2**60", "3", "2**60 // 3"); ASSERT_FLOOR_DIV("-2**62", "-1", "2**62"); ASSERT_FLOOR_DIV("-2**62", "1", "-2**62"); ASSERT_FLOOR_DIV("2**62 - 1", "1", "2**62 - 1"); ASSERT_FLOOR_DIV("2**62 - 1", "-1", "-2**62 + 1"); ASSERT_FLOOR_DIV("2**60", "3", "2**60 // 3"); ASSERT_FLOOR_DIV("-2**30", "-1", "2**30"); ASSERT_FLOOR_DIV("-2**30", "1", "-2**30"); ASSERT_FLOOR_DIV("2**30 - 1", "1", "2**30 - 1"); ASSERT_FLOOR_DIV("2**30 - 1", "-1", "-2**30 + 1"); } TEST_F(CAPITest, test_floor_divide_long_int) { ASSERT_FLOOR_DIV("2**100", "3", "2**100 // 3"); ASSERT_FLOOR_DIV("3", "2**100", "0"); ASSERT_FLOOR_DIV("2**100", "2**70 // 3", "2**100 // (2**70 // 3)"); } #define ASSERT_REMAINDER(x, y, result) \ EXPECT_INT_EQUAL(CPyTagged_Remainder(eval_int(x), eval_int(y)), eval_int(result)) TEST_F(CAPITest, test_remainder_short_int) { ASSERT_REMAINDER("18", "6", "0"); ASSERT_REMAINDER("17", "6", "5"); ASSERT_REMAINDER("13", "6", "1"); ASSERT_REMAINDER("12", "6", "0"); ASSERT_REMAINDER("15", "5", "0"); ASSERT_REMAINDER("14", "5", "4"); ASSERT_REMAINDER("11", "5", "1"); ASSERT_REMAINDER("-18", "6", "0"); ASSERT_REMAINDER("-13", "6", "5"); ASSERT_REMAINDER("-12", "6", "0"); ASSERT_REMAINDER("18", "-6", "0"); ASSERT_REMAINDER("13", "-6", "-5"); ASSERT_REMAINDER("12", "-6", "0"); ASSERT_REMAINDER("-3", "-3", "0"); ASSERT_REMAINDER("-5", "-3", "-2"); ASSERT_REMAINDER("-6", "-3", "0"); ASSERT_REMAINDER("-1", "2**62 - 1", "2**62 - 2"); ASSERT_REMAINDER("1", "-2**62", "-2**62 + 1"); } TEST_F(CAPITest, test_remainder_long_int) { ASSERT_REMAINDER("2**100", "3", "2**100 % 3"); ASSERT_REMAINDER("3", "2**100", "3"); ASSERT_REMAINDER("2**100", "2**70 // 3", "2**100 % (2**70 // 3)"); } #define INT_EQ(x, y) \ CPyTagged_IsEq(eval_int(x), eval_int(y)) TEST_F(CAPITest, test_int_equality) { EXPECT_TRUE(INT_EQ("0", "0")); EXPECT_TRUE(INT_EQ("5", "5")); EXPECT_TRUE(INT_EQ("-7", "-7")); EXPECT_TRUE(INT_EQ("2**65 + 0x1234", "2**65 + 0x1234")); EXPECT_TRUE(INT_EQ("-2**65 + 0x1234", "-2**65 + 0x1234")); EXPECT_FALSE(INT_EQ("0", "1")); EXPECT_FALSE(INT_EQ("5", "4")); EXPECT_FALSE(INT_EQ("-7", "7")); EXPECT_FALSE(INT_EQ("-7", "-6")); EXPECT_FALSE(INT_EQ("-7", "-5")); EXPECT_FALSE(INT_EQ("2**65 + 0x1234", "2**65 + 0x1233")); EXPECT_FALSE(INT_EQ("2**65 + 0x1234", "2**66 + 0x1234")); EXPECT_FALSE(INT_EQ("2**65 + 0x1234", "-2**65 - 0x1234")); EXPECT_FALSE(INT_EQ("-2**65 + 0x1234", "-2**65 + 0x1233")); } #define INT_NE(x, y) \ CPyTagged_IsNe(eval_int(x), eval_int(y)) TEST_F(CAPITest, test_int_non_equality) { EXPECT_FALSE(INT_NE("0", "0")); EXPECT_FALSE(INT_NE("5", "5")); EXPECT_FALSE(INT_NE("-7", "-7")); EXPECT_FALSE(INT_NE("2**65 + 0x1234", "2**65 + 0x1234")); EXPECT_FALSE(INT_NE("-2**65 + 0x1234", "-2**65 + 0x1234")); EXPECT_TRUE(INT_NE("0", "1")); EXPECT_TRUE(INT_NE("5", "4")); EXPECT_TRUE(INT_NE("-7", "7")); EXPECT_TRUE(INT_NE("-7", "-6")); EXPECT_TRUE(INT_NE("-7", "-5")); EXPECT_TRUE(INT_NE("2**65 + 0x1234", "2**65 + 0x1233")); EXPECT_TRUE(INT_NE("2**65 + 0x1234", "2**66 + 0x1234")); EXPECT_TRUE(INT_NE("2**65 + 0x1234", "-2**65 - 0x1234")); EXPECT_TRUE(INT_NE("-2**65 + 0x1234", "-2**65 + 0x1233")); } #define INT_LT(x, y) \ CPyTagged_IsLt(eval_int(x), eval_int(y)) TEST_F(CAPITest, test_int_less_than) { EXPECT_TRUE(INT_LT("0", "5")); EXPECT_TRUE(INT_LT("4", "5")); EXPECT_TRUE(INT_LT("-3", "1")); EXPECT_TRUE(INT_LT("-3", "0")); EXPECT_TRUE(INT_LT("-3", "-2")); EXPECT_FALSE(INT_LT("5", "0")); EXPECT_FALSE(INT_LT("5", "4")); EXPECT_FALSE(INT_LT("1", "-3")); EXPECT_FALSE(INT_LT("0", "-3")); EXPECT_FALSE(INT_LT("-2", "-3")); EXPECT_FALSE(INT_LT("-3", "-3")); EXPECT_FALSE(INT_LT("3", "3")); EXPECT_TRUE(INT_LT("5", "2**65")); EXPECT_TRUE(INT_LT("-2**65", "-5")); EXPECT_TRUE(INT_LT("-2**66", "2**65")); EXPECT_TRUE(INT_LT("2**65", "2**66")); EXPECT_TRUE(INT_LT("-2**66", "-2**65")); EXPECT_FALSE(INT_LT("2**65", "5")); EXPECT_FALSE(INT_LT("-5", "-2**65")); EXPECT_FALSE(INT_LT("2**65", "-2**66")); EXPECT_FALSE(INT_LT("2**66", "2**65")); EXPECT_FALSE(INT_LT("-2**65", "-2**66")); EXPECT_FALSE(INT_LT("-2**65", "-2**65")); EXPECT_FALSE(INT_LT("2**65", "2**65")); } #define INT_GE(x, y) \ CPyTagged_IsGe(eval_int(x), eval_int(y)) TEST_F(CAPITest, test_int_greater_than_or_equal) { EXPECT_TRUE(INT_GE("3", "2")); EXPECT_TRUE(INT_GE("3", "3")); EXPECT_FALSE(INT_GE("3", "4")); EXPECT_TRUE(INT_GE("3", "-4")); EXPECT_TRUE(INT_GE("-3", "-4")); EXPECT_TRUE(INT_GE("-3", "-3")); EXPECT_FALSE(INT_GE("-3", "-2")); EXPECT_FALSE(INT_GE("-3", "2")); EXPECT_TRUE(INT_GE("2**65", "2**65")); EXPECT_TRUE(INT_GE("2**65", "2**65 - 1")); EXPECT_FALSE(INT_GE("2**65", "2**65 + 1")); EXPECT_TRUE(INT_GE("2**65", "2**60")); } #define INT_GT(x, y) \ CPyTagged_IsGt(eval_int(x), eval_int(y)) TEST_F(CAPITest, test_int_greater_than) { EXPECT_TRUE(INT_GT("5", "0")); EXPECT_TRUE(INT_GT("5", "4")); EXPECT_FALSE(INT_GT("5", "5")); EXPECT_FALSE(INT_GT("5", "6")); EXPECT_TRUE(INT_GT("1", "-3")); EXPECT_FALSE(INT_GT("-3", "1")); EXPECT_TRUE(INT_GT("0", "-3")); EXPECT_TRUE(INT_GT("-2", "-3")); EXPECT_FALSE(INT_GT("-2", "-2")); EXPECT_FALSE(INT_GT("-2", "-1")); EXPECT_TRUE(INT_GT("2**65", "5")); EXPECT_TRUE(INT_GT("2**65", "2**65 - 1")); EXPECT_FALSE(INT_GT("2**65", "2**65")); EXPECT_FALSE(INT_GT("2**65", "2**65 + 1")); EXPECT_FALSE(INT_GT("-2**65", "1")); EXPECT_TRUE(INT_GT("-2**65", "-2**65 - 1")); EXPECT_FALSE(INT_GT("-2**65", "-2**65")); EXPECT_FALSE(INT_GT("-2**65", "-2**65 + 1")); } #define INT_LE(x, y) \ CPyTagged_IsLe(eval_int(x), eval_int(y)) TEST_F(CAPITest, test_int_less_than_or_equal) { EXPECT_TRUE(INT_LE("0", "5")); EXPECT_TRUE(INT_LE("5", "6")); EXPECT_TRUE(INT_LE("5", "5")); EXPECT_FALSE(INT_LE("5", "4")); EXPECT_FALSE(INT_LE("1", "-3")); EXPECT_TRUE(INT_LE("-3", "1")); EXPECT_TRUE(INT_LT("-3", "0")); EXPECT_TRUE(INT_LE("-2", "-1")); EXPECT_TRUE(INT_LE("-2", "-2")); EXPECT_FALSE(INT_LT("-2", "-3")); EXPECT_TRUE(INT_LE("5", "2**65")); EXPECT_FALSE(INT_LE("2**65", "5")); EXPECT_TRUE(INT_LE("2**65", "2**65 + 1")); EXPECT_TRUE(INT_LE("2**65", "2**65")); EXPECT_FALSE(INT_LE("2**65", "2**65 - 1")); EXPECT_TRUE(INT_LE("-2**65", "1")); EXPECT_FALSE(INT_LE("1", "-2**65")); EXPECT_TRUE(INT_LE("-2**65", "-2**65 + 1")); EXPECT_TRUE(INT_LE("-2**65", "-2**65")); EXPECT_FALSE(INT_LE("-2**65", "-2**65 - 1")); } #define list_get_eq(list, index, value) \ is_py_equal(CPyList_GetItem(list, eval_int(index)), eval(value)) TEST_F(CAPITest, test_list_get) { auto l = empty_list(); list_append(l, "3"); list_append(l, "5"); list_append(l, "7"); EXPECT_TRUE(list_get_eq(l, "0", "3")); EXPECT_TRUE(list_get_eq(l, "1", "5")); EXPECT_TRUE(list_get_eq(l, "2", "7")); EXPECT_TRUE(list_get_eq(l, "-1", "7")); EXPECT_TRUE(list_get_eq(l, "-2", "5")); EXPECT_TRUE(list_get_eq(l, "-3", "3")); } TEST_F(CAPITest, test_tagged_as_long_long) { auto s = eval_int("3"); auto neg = eval_int("-1"); auto l = eval_int("2**128"); EXPECT_TRUE(CPyTagged_AsSsize_t(s) == 3); EXPECT_FALSE(PyErr_Occurred()); EXPECT_TRUE(CPyTagged_AsSsize_t(neg) == -1); EXPECT_FALSE(PyErr_Occurred()); EXPECT_TRUE(CPyTagged_AsSsize_t(l) == -1); EXPECT_TRUE(PyErr_Occurred()); PyErr_Clear(); } //// // Python module glue to drive the C-API tests. // // The reason we have this as an extension module instead of a // standalone binary is because building an extension module is pretty // well behaved (just specify it with distutils/setuptools and it will // get compiled and linked against the running python) while linking a // library against libpython is a huge non-standard // PITA: python-config locations are janky and it behaves in weird // ways that I don't understand, while this works very cleanly. static PyObject *run_tests(PyObject *dummy, PyObject *should_be_null) { // Fake command line arguments. We could arrange to actually pass // in command line arguments (either real ones or ones given as // arguments) but have not bothered. int argc = 1; char asdf[] = "test_capi"; // InitGoogleTest wants char** which means it can't be const... char *argv[] = {asdf, NULL}; ::testing::InitGoogleTest(&argc, argv); return PyLong_FromLong(RUN_ALL_TESTS()); } static PyMethodDef test_methods[] = { {"run_tests", run_tests, METH_NOARGS, "Run the C API tests"}, {NULL, NULL, 0, NULL} }; static struct PyModuleDef test_module = { PyModuleDef_HEAD_INIT, "test_capi", NULL, -1, test_methods }; PyMODINIT_FUNC PyInit_test_capi(void) { PyObject *module = PyModule_Create(&test_module); if (module) { moduleDict = PyModule_GetDict(module); } return module; } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lib-rt/tuple_ops.c0000644000175100017510000000364415112307767016776 0ustar00runnerrunner// Tuple primitive operations // // These are registered in mypyc.primitives.tuple_ops. #include #include "CPy.h" PyObject *CPySequenceTuple_GetItem(PyObject *tuple, CPyTagged index) { if (CPyTagged_CheckShort(index)) { Py_ssize_t n = CPyTagged_ShortAsSsize_t(index); Py_ssize_t size = PyTuple_GET_SIZE(tuple); if (n >= 0) { if (n >= size) { PyErr_SetString(PyExc_IndexError, "tuple index out of range"); return NULL; } } else { n += size; if (n < 0) { PyErr_SetString(PyExc_IndexError, "tuple index out of range"); return NULL; } } PyObject *result = PyTuple_GET_ITEM(tuple, n); Py_INCREF(result); return result; } else { PyErr_SetString(PyExc_OverflowError, CPYTHON_LARGE_INT_ERRMSG); return NULL; } } PyObject *CPySequenceTuple_GetSlice(PyObject *obj, CPyTagged start, CPyTagged end) { if (likely(PyTuple_CheckExact(obj) && CPyTagged_CheckShort(start) && CPyTagged_CheckShort(end))) { Py_ssize_t startn = CPyTagged_ShortAsSsize_t(start); Py_ssize_t endn = CPyTagged_ShortAsSsize_t(end); if (startn < 0) { startn += PyTuple_GET_SIZE(obj); } if (endn < 0) { endn += PyTuple_GET_SIZE(obj); } return PyTuple_GetSlice(obj, startn, endn); } return CPyObject_GetSlice(obj, start, end); } // No error checking PyObject *CPySequenceTuple_GetItemUnsafe(PyObject *tuple, Py_ssize_t index) { PyObject *result = PyTuple_GET_ITEM(tuple, index); Py_INCREF(result); return result; } // PyTuple_SET_ITEM does no error checking, // and should only be used to fill in brand new tuples. void CPySequenceTuple_SetItemUnsafe(PyObject *tuple, Py_ssize_t index, PyObject *value) { PyTuple_SET_ITEM(tuple, index, value); } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.656766 mypy-1.19.0/mypyc/lower/0000755000175100017510000000000015112310012014521 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lower/__init__.py0000644000175100017510000000000015112307767016647 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lower/int_ops.py0000644000175100017510000001125115112307767016575 0ustar00runnerrunner"""Convert tagged int primitive ops to lower-level ops.""" from __future__ import annotations from typing import NamedTuple from mypyc.ir.ops import Assign, BasicBlock, Branch, ComparisonOp, Register, Value from mypyc.ir.rtypes import bool_rprimitive, is_short_int_rprimitive from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.lower.registry import lower_primitive_op from mypyc.primitives.int_ops import int_equal_, int_less_than_ from mypyc.primitives.registry import CFunctionDescription # Description for building int comparison ops # # Fields: # binary_op_variant: identify which IntOp to use when operands are short integers # c_func_description: the C function to call when operands are tagged integers # c_func_negated: whether to negate the C function call's result # c_func_swap_operands: whether to swap lhs and rhs when call the function class IntComparisonOpDescription(NamedTuple): binary_op_variant: int c_func_description: CFunctionDescription c_func_negated: bool c_func_swap_operands: bool # Provide mapping from textual op to short int's op variant and boxed int's description. # Note that these are not complete implementations and require extra IR. int_comparison_op_mapping: dict[str, IntComparisonOpDescription] = { "==": IntComparisonOpDescription(ComparisonOp.EQ, int_equal_, False, False), "!=": IntComparisonOpDescription(ComparisonOp.NEQ, int_equal_, True, False), "<": IntComparisonOpDescription(ComparisonOp.SLT, int_less_than_, False, False), "<=": IntComparisonOpDescription(ComparisonOp.SLE, int_less_than_, True, True), ">": IntComparisonOpDescription(ComparisonOp.SGT, int_less_than_, False, True), ">=": IntComparisonOpDescription(ComparisonOp.SGE, int_less_than_, True, False), } def compare_tagged(self: LowLevelIRBuilder, lhs: Value, rhs: Value, op: str, line: int) -> Value: """Compare two tagged integers using given operator (value context).""" # generate fast binary logic ops on short ints if (is_short_int_rprimitive(lhs.type) or is_short_int_rprimitive(rhs.type)) and op in ( "==", "!=", ): quick = True else: quick = is_short_int_rprimitive(lhs.type) and is_short_int_rprimitive(rhs.type) if quick: return self.comparison_op(lhs, rhs, int_comparison_op_mapping[op][0], line) op_type, c_func_desc, negate_result, swap_op = int_comparison_op_mapping[op] result = Register(bool_rprimitive) short_int_block, int_block, out = BasicBlock(), BasicBlock(), BasicBlock() check_lhs = self.check_tagged_short_int(lhs, line, negated=True) if op in ("==", "!="): self.add(Branch(check_lhs, int_block, short_int_block, Branch.BOOL)) else: # for non-equality logical ops (less/greater than, etc.), need to check both sides short_lhs = BasicBlock() self.add(Branch(check_lhs, int_block, short_lhs, Branch.BOOL)) self.activate_block(short_lhs) check_rhs = self.check_tagged_short_int(rhs, line, negated=True) self.add(Branch(check_rhs, int_block, short_int_block, Branch.BOOL)) self.activate_block(int_block) if swap_op: args = [rhs, lhs] else: args = [lhs, rhs] call = self.call_c(c_func_desc, args, line) if negate_result: # TODO: introduce UnaryIntOp? call_result = self.unary_op(call, "not", line) else: call_result = call self.add(Assign(result, call_result, line)) self.goto(out) self.activate_block(short_int_block) eq = self.comparison_op(lhs, rhs, op_type, line) self.add(Assign(result, eq, line)) self.goto_and_activate(out) return result @lower_primitive_op("int_eq") def lower_int_eq(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: return compare_tagged(builder, args[0], args[1], "==", line) @lower_primitive_op("int_ne") def lower_int_ne(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: return compare_tagged(builder, args[0], args[1], "!=", line) @lower_primitive_op("int_lt") def lower_int_lt(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: return compare_tagged(builder, args[0], args[1], "<", line) @lower_primitive_op("int_le") def lower_int_le(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: return compare_tagged(builder, args[0], args[1], "<=", line) @lower_primitive_op("int_gt") def lower_int_gt(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: return compare_tagged(builder, args[0], args[1], ">", line) @lower_primitive_op("int_ge") def lower_int_ge(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: return compare_tagged(builder, args[0], args[1], ">=", line) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lower/list_ops.py0000644000175100017510000000473215112307767016764 0ustar00runnerrunnerfrom __future__ import annotations from mypyc.common import PLATFORM_SIZE from mypyc.ir.ops import GetElementPtr, Integer, IntOp, SetMem, Value from mypyc.ir.rtypes import ( PyListObject, c_pyssize_t_rprimitive, object_rprimitive, pointer_rprimitive, ) from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.lower.registry import lower_primitive_op @lower_primitive_op("buf_init_item") def buf_init_item(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: """Initialize an item in a buffer of "PyObject *" values at given index. This can be used to initialize the data buffer of a freshly allocated list object. """ base = args[0] index_value = args[1] value = args[2] assert isinstance(index_value, Integer), index_value index = index_value.numeric_value() if index == 0: ptr = base else: ptr = builder.add( IntOp( pointer_rprimitive, base, Integer(index * PLATFORM_SIZE, c_pyssize_t_rprimitive), IntOp.ADD, line, ) ) return builder.add(SetMem(object_rprimitive, ptr, value, line)) @lower_primitive_op("list_items") def list_items(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: ob_item_ptr = builder.add(GetElementPtr(args[0], PyListObject, "ob_item", line)) return builder.load_mem(ob_item_ptr, pointer_rprimitive) def list_item_ptr(builder: LowLevelIRBuilder, obj: Value, index: Value, line: int) -> Value: """Get a pointer to a list item (index must be valid and non-negative). Type of index must be c_pyssize_t_rprimitive, and obj must refer to a list object. """ # List items are represented as an array of pointers. Pointer to the item obj[index] is # + index * . items = list_items(builder, [obj], line) delta = builder.add( IntOp( c_pyssize_t_rprimitive, index, Integer(PLATFORM_SIZE, c_pyssize_t_rprimitive), IntOp.MUL, ) ) return builder.add(IntOp(pointer_rprimitive, items, delta, IntOp.ADD)) @lower_primitive_op("list_get_item_unsafe") def list_get_item_unsafe(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: index = builder.coerce(args[1], c_pyssize_t_rprimitive, line) item_ptr = list_item_ptr(builder, args[0], index, line) return builder.load_mem(item_ptr, object_rprimitive) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lower/misc_ops.py0000644000175100017510000000157615112307767016747 0ustar00runnerrunnerfrom __future__ import annotations from mypyc.ir.ops import ComparisonOp, GetElementPtr, Integer, LoadMem, Value from mypyc.ir.rtypes import PyVarObject, c_pyssize_t_rprimitive, object_rprimitive from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.lower.registry import lower_primitive_op @lower_primitive_op("var_object_size") def var_object_size(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: elem_address = builder.add(GetElementPtr(args[0], PyVarObject, "ob_size")) return builder.add(LoadMem(c_pyssize_t_rprimitive, elem_address)) @lower_primitive_op("propagate_if_error") def propagate_if_error_op(builder: LowLevelIRBuilder, args: list[Value], line: int) -> Value: # Return False on NULL. The primitive uses ERR_FALSE, so this is an error. return builder.add(ComparisonOp(args[0], Integer(0, object_rprimitive), ComparisonOp.NEQ)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/lower/registry.py0000644000175100017510000000147615112307767017002 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable, Final, Optional, TypeVar from mypyc.ir.ops import Value from mypyc.irbuild.ll_builder import LowLevelIRBuilder LowerFunc = Callable[[LowLevelIRBuilder, list[Value], int], Value] LowerFuncOpt = Callable[[LowLevelIRBuilder, list[Value], int], Optional[Value]] lowering_registry: Final[dict[str, LowerFuncOpt]] = {} LF = TypeVar("LF", LowerFunc, LowerFuncOpt) def lower_primitive_op(name: str) -> Callable[[LF], LF]: """Register a handler that generates low-level IR for a primitive op.""" def wrapper(f: LF) -> LF: assert name not in lowering_registry lowering_registry[name] = f return f return wrapper # Import various modules that set up global state. from mypyc.lower import int_ops, list_ops, misc_ops # noqa: F401 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/namegen.py0000644000175100017510000001150615112307767015407 0ustar00runnerrunnerfrom __future__ import annotations from collections.abc import Iterable class NameGenerator: """Utility for generating distinct C names from Python names. Since C names can't use '.' (or unicode), some care is required to make C names generated from Python names unique. Also, we want to avoid generating overly long C names since they make the generated code harder to read. Note that we don't restrict ourselves to a 32-character distinguishing prefix guaranteed by the C standard since all the compilers we care about at the moment support longer names without issues. For names that are exported in a shared library (not static) use exported_name() instead. Summary of the approach: * Generate a unique name prefix from suffix of fully-qualified module name used for static names. If only compiling a single module, this can be empty. For example, if the modules are 'foo.bar' and 'foo.baz', the prefixes can be 'bar_' and 'baz_', respectively. If the modules are 'bar.foo' and 'baz.foo', the prefixes will be 'bar_foo_' and 'baz_foo_'. * Replace '.' in the Python name with '___' in the C name. (And replace the unlikely but possible '___' with '___3_'. This collides '___' with '.3_', but this is OK because names may not start with a digit.) The generated should be internal to a build and thus the mapping is arbitrary. Just generating names '1', '2', ... would be correct, though not very usable. The generated names may be visible in CPU profiles and when debugging using native debuggers. """ def __init__(self, groups: Iterable[list[str]], *, separate: bool = False) -> None: """Initialize with a list of modules in each compilation group. The names of modules are used to shorten names referring to modules, for convenience. Arbitrary module names are supported for generated names, but uncompiled modules will use long names. If separate is True, assume separate compilation. This implies that we don't have knowledge of all sources that will be linked together. In this case we won't trim module prefixes, since we don't have enough information to determine common module prefixes. """ self.module_map: dict[str, str] = {} for names in groups: if not separate: self.module_map.update(make_module_translation_map(names)) else: for name in names: self.module_map[name] = name + "." self.translations: dict[tuple[str, str], str] = {} self.used_names: set[str] = set() def private_name(self, module: str, partial_name: str | None = None) -> str: """Return a C name usable for a static definition. Return a distinct result for each (module, partial_name) pair. The caller should add a suitable prefix to the name to avoid conflicts with other C names. Only ensure that the results of this function are unique, not that they aren't overlapping with arbitrary names. If a name is not specific to any module, the module argument can be an empty string. """ # TODO: Support unicode if partial_name is None: return exported_name(self.module_map[module].rstrip(".")) if (module, partial_name) in self.translations: return self.translations[module, partial_name] if module in self.module_map: module_prefix = self.module_map[module] elif module: module_prefix = module + "." else: module_prefix = "" actual = exported_name(f"{module_prefix}{partial_name}") self.translations[module, partial_name] = actual return actual def exported_name(fullname: str) -> str: """Return a C name usable for an exported definition. This is like private_name(), but the output only depends on the 'fullname' argument, so the names are distinct across multiple builds. """ # TODO: Support unicode return fullname.replace("___", "___3_").replace(".", "___") def make_module_translation_map(names: list[str]) -> dict[str, str]: num_instances: dict[str, int] = {} for name in names: for suffix in candidate_suffixes(name): num_instances[suffix] = num_instances.get(suffix, 0) + 1 result = {} for name in names: for suffix in candidate_suffixes(name): if num_instances[suffix] == 1: break # Takes the last suffix if none are unique result[name] = suffix return result def candidate_suffixes(fullname: str) -> list[str]: components = fullname.split(".") result = [""] for i in range(len(components)): result.append(".".join(components[-i - 1 :]) + ".") return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/options.py0000644000175100017510000000571415112307767015474 0ustar00runnerrunnerfrom __future__ import annotations import sys class CompilerOptions: def __init__( self, strip_asserts: bool = False, multi_file: bool = False, verbose: bool = False, separate: bool = False, target_dir: str | None = None, include_runtime_files: bool | None = None, capi_version: tuple[int, int] | None = None, python_version: tuple[int, int] | None = None, strict_dunder_typing: bool = False, group_name: str | None = None, log_trace: bool = False, depends_on_librt_internal: bool = False, experimental_features: bool = False, ) -> None: self.strip_asserts = strip_asserts self.multi_file = multi_file self.verbose = verbose self.separate = separate self.global_opts = not separate self.target_dir = target_dir or "build" self.include_runtime_files = ( include_runtime_files if include_runtime_files is not None else not multi_file ) # The target Python C API version. Overriding this is mostly # useful in IR tests, since there's no guarantee that # binaries are backward compatible even if no recent API # features are used. self.capi_version = capi_version or sys.version_info[:2] self.python_version = python_version # Make possible to inline dunder methods in the generated code. # Typically, the convention is the dunder methods can return `NotImplemented` # even when its return type is just `bool`. # By enabling this option, this convention is no longer valid and the dunder # will assume the return type of the method strictly, which can lead to # more optimization opportunities. self.strict_dunders_typing = strict_dunder_typing # Override the automatic group name derived from the hash of module names. # This affects the names of generated .c, .h and shared library files. # This is only supported when compiling exactly one group, and a shared # library is generated (with shims). This can be used to make the output # file names more predictable. self.group_name = group_name # If enabled, write a trace log of events based on executed operations to # mypyc_trace.txt when compiled module is executed. This is useful for # performance analysis. self.log_trace = log_trace # If enabled, add capsule imports of librt.internal API. This should be used # only for mypy itself, third-party code compiled with mypyc should not use # librt.internal. self.depends_on_librt_internal = depends_on_librt_internal # Some experimental features are only available when building librt in # experimental mode (e.g. use _experimental suffix in librt run test). # These can't be used with a librt wheel installed from PyPI. self.experimental_features = experimental_features ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.659766 mypy-1.19.0/mypyc/primitives/0000755000175100017510000000000015112310012015564 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/__init__.py0000644000175100017510000000000015112307767017712 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/bytes_ops.py0000644000175100017510000000603515112307767020200 0ustar00runnerrunner"""Primitive bytes ops.""" from __future__ import annotations from mypyc.ir.ops import ERR_MAGIC, ERR_NEVER from mypyc.ir.rtypes import ( RUnion, bit_rprimitive, bytes_rprimitive, c_int_rprimitive, c_pyssize_t_rprimitive, dict_rprimitive, int_rprimitive, list_rprimitive, object_rprimitive, str_rprimitive, ) from mypyc.primitives.registry import ( ERR_NEG_INT, binary_op, custom_op, function_op, load_address_op, method_op, ) # Get the 'bytes' type object. load_address_op(name="builtins.bytes", type=object_rprimitive, src="PyBytes_Type") # bytes(obj) function_op( name="builtins.bytes", arg_types=[RUnion([list_rprimitive, dict_rprimitive, str_rprimitive])], return_type=bytes_rprimitive, c_function_name="PyBytes_FromObject", error_kind=ERR_MAGIC, ) # translate isinstance(obj, bytes) isinstance_bytes = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyBytes_Check", error_kind=ERR_NEVER, ) # bytearray(obj) function_op( name="builtins.bytearray", arg_types=[object_rprimitive], return_type=bytes_rprimitive, c_function_name="PyByteArray_FromObject", error_kind=ERR_MAGIC, ) # translate isinstance(obj, bytearray) isinstance_bytearray = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyByteArray_Check", error_kind=ERR_NEVER, ) # bytes ==/!= (return -1/0/1) bytes_compare = custom_op( arg_types=[bytes_rprimitive, bytes_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyBytes_Compare", error_kind=ERR_NEG_INT, ) # bytes + bytes # bytearray + bytearray binary_op( name="+", arg_types=[bytes_rprimitive, bytes_rprimitive], return_type=bytes_rprimitive, c_function_name="CPyBytes_Concat", error_kind=ERR_MAGIC, steals=[True, False], ) # bytes[begin:end] bytes_slice_op = custom_op( arg_types=[bytes_rprimitive, int_rprimitive, int_rprimitive], return_type=bytes_rprimitive, c_function_name="CPyBytes_GetSlice", error_kind=ERR_MAGIC, ) # bytes[index] # bytearray[index] method_op( name="__getitem__", arg_types=[bytes_rprimitive, int_rprimitive], return_type=int_rprimitive, c_function_name="CPyBytes_GetItem", error_kind=ERR_MAGIC, ) # bytes.join(obj) method_op( name="join", arg_types=[bytes_rprimitive, object_rprimitive], return_type=bytes_rprimitive, c_function_name="CPyBytes_Join", error_kind=ERR_MAGIC, ) # Join bytes objects and return a new bytes. # The first argument is the total number of the following bytes. bytes_build_op = custom_op( arg_types=[c_pyssize_t_rprimitive], return_type=bytes_rprimitive, c_function_name="CPyBytes_Build", error_kind=ERR_MAGIC, var_arg_type=bytes_rprimitive, ) function_op( name="builtins.ord", arg_types=[bytes_rprimitive], return_type=int_rprimitive, c_function_name="CPyBytes_Ord", error_kind=ERR_MAGIC, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/dict_ops.py0000644000175100017510000002117115112307767017773 0ustar00runnerrunner"""Primitive dict ops.""" from __future__ import annotations from mypyc.ir.ops import ERR_FALSE, ERR_MAGIC, ERR_NEVER from mypyc.ir.rtypes import ( bit_rprimitive, bool_rprimitive, c_int_rprimitive, c_pyssize_t_rprimitive, dict_next_rtuple_pair, dict_next_rtuple_single, dict_rprimitive, int_rprimitive, list_rprimitive, object_rprimitive, ) from mypyc.primitives.registry import ( ERR_NEG_INT, binary_op, custom_op, function_op, load_address_op, method_op, ) # Get the 'dict' type object. load_address_op(name="builtins.dict", type=object_rprimitive, src="PyDict_Type") # Construct an empty dictionary via dict(). function_op( name="builtins.dict", arg_types=[], return_type=dict_rprimitive, c_function_name="PyDict_New", error_kind=ERR_MAGIC, ) # Construct an empty dictionary. dict_new_op = custom_op( arg_types=[], return_type=dict_rprimitive, c_function_name="PyDict_New", error_kind=ERR_MAGIC ) # Construct a dictionary from keys and values. # Positional argument is the number of key-value pairs # Variable arguments are (key1, value1, ..., keyN, valueN). dict_build_op = custom_op( arg_types=[c_pyssize_t_rprimitive], return_type=dict_rprimitive, c_function_name="CPyDict_Build", error_kind=ERR_MAGIC, var_arg_type=object_rprimitive, ) # Construct a dictionary from another dictionary. dict_copy_op = function_op( name="builtins.dict", arg_types=[dict_rprimitive], return_type=dict_rprimitive, c_function_name="PyDict_Copy", error_kind=ERR_MAGIC, priority=2, ) # Generic one-argument dict constructor: dict(obj) dict_copy = function_op( name="builtins.dict", arg_types=[object_rprimitive], return_type=dict_rprimitive, c_function_name="CPyDict_FromAny", error_kind=ERR_MAGIC, ) # translate isinstance(obj, dict) isinstance_dict = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyDict_Check", error_kind=ERR_NEVER, ) # dict[key] dict_get_item_op = method_op( name="__getitem__", arg_types=[dict_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_GetItem", error_kind=ERR_MAGIC, ) # dict[key] = value dict_set_item_op = method_op( name="__setitem__", arg_types=[dict_rprimitive, object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyDict_SetItem", error_kind=ERR_NEG_INT, ) # dict[key] = value (exact dict only, no subclasses) # NOTE: this is currently for internal use only, and not used for CallExpr specialization exact_dict_set_item_op = custom_op( arg_types=[dict_rprimitive, object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyDict_SetItem", error_kind=ERR_NEG_INT, ) # key in dict binary_op( name="in", arg_types=[object_rprimitive, dict_rprimitive], return_type=c_int_rprimitive, c_function_name="PyDict_Contains", error_kind=ERR_NEG_INT, truncated_type=bool_rprimitive, ordering=[1, 0], ) # dict1.update(dict2) dict_update_op = method_op( name="update", arg_types=[dict_rprimitive, dict_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyDict_Update", error_kind=ERR_NEG_INT, priority=2, ) # Operation used for **value in dict displays. # This is mostly like dict.update(obj), but has customized error handling. dict_update_in_display_op = custom_op( arg_types=[dict_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyDict_UpdateInDisplay", error_kind=ERR_NEG_INT, ) # dict.update(obj) method_op( name="update", arg_types=[dict_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyDict_UpdateFromAny", error_kind=ERR_NEG_INT, ) # dict.get(key, default) method_op( name="get", arg_types=[dict_rprimitive, object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_Get", error_kind=ERR_MAGIC, ) # dict.get(key) dict_get_method_with_none = method_op( name="get", arg_types=[dict_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_GetWithNone", error_kind=ERR_MAGIC, ) # dict.setdefault(key, default) dict_setdefault_op = method_op( name="setdefault", arg_types=[dict_rprimitive, object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_SetDefault", error_kind=ERR_MAGIC, ) # dict.setdefault(key) method_op( name="setdefault", arg_types=[dict_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_SetDefaultWithNone", error_kind=ERR_MAGIC, ) # dict.setdefault(key, empty tuple/list/set) # The third argument marks the data type of the second argument. # 1: list 2: dict 3: set # Other number would lead to an error. dict_setdefault_spec_init_op = custom_op( arg_types=[dict_rprimitive, object_rprimitive, c_int_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_SetDefaultWithEmptyDatatype", error_kind=ERR_MAGIC, ) # dict.keys() method_op( name="keys", arg_types=[dict_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_KeysView", error_kind=ERR_MAGIC, ) # dict.values() method_op( name="values", arg_types=[dict_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_ValuesView", error_kind=ERR_MAGIC, ) # dict.items() method_op( name="items", arg_types=[dict_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_ItemsView", error_kind=ERR_MAGIC, ) # dict.clear() method_op( name="clear", arg_types=[dict_rprimitive], return_type=bit_rprimitive, c_function_name="CPyDict_Clear", error_kind=ERR_FALSE, ) # dict.copy() method_op( name="copy", arg_types=[dict_rprimitive], return_type=dict_rprimitive, c_function_name="CPyDict_Copy", error_kind=ERR_MAGIC, ) # list(dict.keys()) dict_keys_op = custom_op( arg_types=[dict_rprimitive], return_type=list_rprimitive, c_function_name="CPyDict_Keys", error_kind=ERR_MAGIC, ) # list(dict.values()) dict_values_op = custom_op( arg_types=[dict_rprimitive], return_type=list_rprimitive, c_function_name="CPyDict_Values", error_kind=ERR_MAGIC, ) # list(dict.items()) dict_items_op = custom_op( arg_types=[dict_rprimitive], return_type=list_rprimitive, c_function_name="CPyDict_Items", error_kind=ERR_MAGIC, ) # PyDict_Next() fast iteration dict_key_iter_op = custom_op( arg_types=[dict_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_GetKeysIter", error_kind=ERR_MAGIC, ) dict_value_iter_op = custom_op( arg_types=[dict_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_GetValuesIter", error_kind=ERR_MAGIC, ) dict_item_iter_op = custom_op( arg_types=[dict_rprimitive], return_type=object_rprimitive, c_function_name="CPyDict_GetItemsIter", error_kind=ERR_MAGIC, ) dict_next_key_op = custom_op( arg_types=[object_rprimitive, int_rprimitive], return_type=dict_next_rtuple_single, c_function_name="CPyDict_NextKey", error_kind=ERR_NEVER, ) dict_next_value_op = custom_op( arg_types=[object_rprimitive, int_rprimitive], return_type=dict_next_rtuple_single, c_function_name="CPyDict_NextValue", error_kind=ERR_NEVER, ) dict_next_item_op = custom_op( arg_types=[object_rprimitive, int_rprimitive], return_type=dict_next_rtuple_pair, c_function_name="CPyDict_NextItem", error_kind=ERR_NEVER, ) # check that len(dict) == const during iteration dict_check_size_op = custom_op( arg_types=[dict_rprimitive, c_pyssize_t_rprimitive], return_type=bit_rprimitive, c_function_name="CPyDict_CheckSize", error_kind=ERR_FALSE, ) dict_ssize_t_size_op = custom_op( arg_types=[dict_rprimitive], return_type=c_pyssize_t_rprimitive, c_function_name="PyDict_Size", error_kind=ERR_NEVER, ) # Delete an item from a dict dict_del_item = custom_op( arg_types=[object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyDict_DelItem", error_kind=ERR_NEG_INT, ) supports_mapping_protocol = custom_op( arg_types=[object_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyMapping_Check", error_kind=ERR_NEVER, ) mapping_has_key = custom_op( arg_types=[object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyMapping_HasKey", error_kind=ERR_NEVER, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/exc_ops.py0000644000175100017510000000710215112307767017625 0ustar00runnerrunner"""Exception-related primitive ops.""" from __future__ import annotations from mypyc.ir.ops import ERR_ALWAYS, ERR_FALSE, ERR_NEVER from mypyc.ir.rtypes import bit_rprimitive, exc_rtuple, object_rprimitive, void_rtype from mypyc.primitives.registry import custom_op, custom_primitive_op # If the argument is a class, raise an instance of the class. Otherwise, assume # that the argument is an exception object, and raise it. raise_exception_op = custom_op( arg_types=[object_rprimitive], return_type=void_rtype, c_function_name="CPy_Raise", error_kind=ERR_ALWAYS, ) # Raise StopIteration exception with the specified value (which can be NULL). set_stop_iteration_value = custom_op( arg_types=[object_rprimitive], return_type=void_rtype, c_function_name="CPyGen_SetStopIterationValue", error_kind=ERR_ALWAYS, ) # Raise exception with traceback. # Arguments are (exception type, exception value, traceback). raise_exception_with_tb_op = custom_op( arg_types=[object_rprimitive, object_rprimitive, object_rprimitive], return_type=void_rtype, c_function_name="CPyErr_SetObjectAndTraceback", error_kind=ERR_ALWAYS, ) # Reraise the currently raised exception. reraise_exception_op = custom_op( arg_types=[], return_type=void_rtype, c_function_name="CPy_Reraise", error_kind=ERR_ALWAYS ) # Propagate exception if the CPython error indicator is set (an exception was raised). no_err_occurred_op = custom_op( arg_types=[], return_type=bit_rprimitive, c_function_name="CPy_NoErrOccurred", error_kind=ERR_FALSE, ) err_occurred_op = custom_op( arg_types=[], return_type=object_rprimitive, c_function_name="PyErr_Occurred", error_kind=ERR_NEVER, is_borrowed=True, ) # Keep propagating a raised exception by unconditionally giving an error value. # This doesn't actually raise an exception. keep_propagating_op = custom_op( arg_types=[], return_type=bit_rprimitive, c_function_name="CPy_KeepPropagating", error_kind=ERR_FALSE, ) # If argument is NULL, propagate currently raised exception (in this case # an exception must have been raised). If this can be used, it's faster # than using PyErr_Occurred(). propagate_if_error_op = custom_primitive_op( "propagate_if_error", arg_types=[object_rprimitive], return_type=bit_rprimitive, error_kind=ERR_FALSE, ) # Catches a propagating exception and makes it the "currently # handled exception" (by sticking it into sys.exc_info()). Returns the # exception that was previously being handled, which must be restored # later. error_catch_op = custom_op( arg_types=[], return_type=exc_rtuple, c_function_name="CPy_CatchError", error_kind=ERR_NEVER ) # Restore an old "currently handled exception" returned from. # error_catch (by sticking it into sys.exc_info()) restore_exc_info_op = custom_op( arg_types=[exc_rtuple], return_type=void_rtype, c_function_name="CPy_RestoreExcInfo", error_kind=ERR_NEVER, ) # Checks whether the exception currently being handled matches a particular type. exc_matches_op = custom_op( arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="CPy_ExceptionMatches", error_kind=ERR_NEVER, ) # Get the value of the exception currently being handled. get_exc_value_op = custom_op( arg_types=[], return_type=object_rprimitive, c_function_name="CPy_GetExcValue", error_kind=ERR_NEVER, ) # Get exception info (exception type, exception instance, traceback object). get_exc_info_op = custom_op( arg_types=[], return_type=exc_rtuple, c_function_name="CPy_GetExcInfo", error_kind=ERR_NEVER ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/float_ops.py0000644000175100017510000000777215112307767020170 0ustar00runnerrunner"""Primitive float ops.""" from __future__ import annotations from mypyc.ir.ops import ERR_MAGIC, ERR_MAGIC_OVERLAPPING, ERR_NEVER from mypyc.ir.rtypes import ( bit_rprimitive, bool_rprimitive, float_rprimitive, int_rprimitive, object_rprimitive, str_rprimitive, ) from mypyc.primitives.registry import binary_op, function_op, load_address_op # Get the 'builtins.float' type object. load_address_op(name="builtins.float", type=object_rprimitive, src="PyFloat_Type") binary_op( name="//", arg_types=[float_rprimitive, float_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_FloorDivide", error_kind=ERR_MAGIC_OVERLAPPING, ) # float(int) int_to_float_op = function_op( name="builtins.float", arg_types=[int_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_FromTagged", error_kind=ERR_MAGIC_OVERLAPPING, ) # float(str) function_op( name="builtins.float", arg_types=[str_rprimitive], return_type=object_rprimitive, c_function_name="PyFloat_FromString", error_kind=ERR_MAGIC, ) # abs(float) function_op( name="builtins.abs", arg_types=[float_rprimitive], return_type=float_rprimitive, c_function_name="fabs", error_kind=ERR_NEVER, ) # math.sin(float) function_op( name="math.sin", arg_types=[float_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_Sin", error_kind=ERR_MAGIC_OVERLAPPING, ) # math.cos(float) function_op( name="math.cos", arg_types=[float_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_Cos", error_kind=ERR_MAGIC_OVERLAPPING, ) # math.tan(float) function_op( name="math.tan", arg_types=[float_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_Tan", error_kind=ERR_MAGIC_OVERLAPPING, ) # math.sqrt(float) function_op( name="math.sqrt", arg_types=[float_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_Sqrt", error_kind=ERR_MAGIC_OVERLAPPING, ) # math.exp(float) function_op( name="math.exp", arg_types=[float_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_Exp", error_kind=ERR_MAGIC_OVERLAPPING, ) # math.log(float) function_op( name="math.log", arg_types=[float_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_Log", error_kind=ERR_MAGIC_OVERLAPPING, ) # math.floor(float) function_op( name="math.floor", arg_types=[float_rprimitive], return_type=int_rprimitive, c_function_name="CPyFloat_Floor", error_kind=ERR_MAGIC, ) # math.ceil(float) function_op( name="math.ceil", arg_types=[float_rprimitive], return_type=int_rprimitive, c_function_name="CPyFloat_Ceil", error_kind=ERR_MAGIC, ) # math.fabs(float) function_op( name="math.fabs", arg_types=[float_rprimitive], return_type=float_rprimitive, c_function_name="fabs", error_kind=ERR_NEVER, ) # math.pow(float, float) pow_op = function_op( name="math.pow", arg_types=[float_rprimitive, float_rprimitive], return_type=float_rprimitive, c_function_name="CPyFloat_Pow", error_kind=ERR_MAGIC_OVERLAPPING, ) # math.copysign(float, float) copysign_op = function_op( name="math.copysign", arg_types=[float_rprimitive, float_rprimitive], return_type=float_rprimitive, c_function_name="copysign", error_kind=ERR_NEVER, ) # math.isinf(float) function_op( name="math.isinf", arg_types=[float_rprimitive], return_type=bool_rprimitive, c_function_name="CPyFloat_IsInf", error_kind=ERR_NEVER, ) # math.isnan(float) function_op( name="math.isnan", arg_types=[float_rprimitive], return_type=bool_rprimitive, c_function_name="CPyFloat_IsNaN", error_kind=ERR_NEVER, ) # translate isinstance(obj, float) isinstance_float = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyFloat_Check", error_kind=ERR_NEVER, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/generic_ops.py0000644000175100017510000002674515112307767020500 0ustar00runnerrunner"""Fallback primitive operations that operate on 'object' operands. These just call the relevant Python C API function or a thin wrapper around an API function. Most of these also have faster, specialized ops that operate on some more specific types. Many of these ops are given a low priority (0) so that specialized ops will take precedence. If your specialized op doesn't seem to be used, check that the priorities are configured properly. """ from __future__ import annotations from mypyc.ir.ops import ERR_MAGIC, ERR_NEVER from mypyc.ir.rtypes import ( bool_rprimitive, c_int_rprimitive, c_pyssize_t_rprimitive, c_size_t_rprimitive, int_rprimitive, object_pointer_rprimitive, object_rprimitive, pointer_rprimitive, ) from mypyc.primitives.registry import ( ERR_NEG_INT, binary_op, custom_op, custom_primitive_op, function_op, method_op, unary_op, ) # Binary operations for op, opid in [ ("==", 2), # PY_EQ ("!=", 3), # PY_NE ("<", 0), # PY_LT ("<=", 1), # PY_LE (">", 4), # PY_GT (">=", 5), ]: # PY_GE # The result type is 'object' since that's what PyObject_RichCompare returns. binary_op( name=op, arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="PyObject_RichCompare", error_kind=ERR_MAGIC, extra_int_constants=[(opid, c_int_rprimitive)], priority=0, ) for op, funcname in [ ("+", "PyNumber_Add"), ("-", "PyNumber_Subtract"), ("*", "PyNumber_Multiply"), ("//", "PyNumber_FloorDivide"), ("/", "PyNumber_TrueDivide"), ("%", "PyNumber_Remainder"), ("<<", "PyNumber_Lshift"), (">>", "PyNumber_Rshift"), ("&", "PyNumber_And"), ("^", "PyNumber_Xor"), ("|", "PyNumber_Or"), ("@", "PyNumber_MatrixMultiply"), ]: binary_op( name=op, arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name=funcname, error_kind=ERR_MAGIC, priority=0, ) function_op( name="builtins.divmod", arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="PyNumber_Divmod", error_kind=ERR_MAGIC, priority=0, ) for op, funcname in [ ("+=", "PyNumber_InPlaceAdd"), ("-=", "PyNumber_InPlaceSubtract"), ("*=", "PyNumber_InPlaceMultiply"), ("@=", "PyNumber_InPlaceMatrixMultiply"), ("//=", "PyNumber_InPlaceFloorDivide"), ("/=", "PyNumber_InPlaceTrueDivide"), ("%=", "PyNumber_InPlaceRemainder"), ("<<=", "PyNumber_InPlaceLshift"), (">>=", "PyNumber_InPlaceRshift"), ("&=", "PyNumber_InPlaceAnd"), ("^=", "PyNumber_InPlaceXor"), ("|=", "PyNumber_InPlaceOr"), ]: binary_op( name=op, arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name=funcname, error_kind=ERR_MAGIC, priority=0, ) for op, c_function in (("**", "CPyNumber_Power"), ("**=", "CPyNumber_InPlacePower")): binary_op( name=op, arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, error_kind=ERR_MAGIC, c_function_name=c_function, priority=0, ) for arg_count, c_function in ((2, "CPyNumber_Power"), (3, "PyNumber_Power")): function_op( name="builtins.pow", arg_types=[object_rprimitive] * arg_count, return_type=object_rprimitive, error_kind=ERR_MAGIC, c_function_name=c_function, priority=0, ) binary_op( name="in", arg_types=[object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PySequence_Contains", error_kind=ERR_NEG_INT, truncated_type=bool_rprimitive, ordering=[1, 0], priority=0, ) # Unary operations for op, funcname in [ ("-", "PyNumber_Negative"), ("+", "PyNumber_Positive"), ("~", "PyNumber_Invert"), ]: unary_op( name=op, arg_type=object_rprimitive, return_type=object_rprimitive, c_function_name=funcname, error_kind=ERR_MAGIC, priority=0, ) unary_op( name="not", arg_type=object_rprimitive, return_type=c_int_rprimitive, c_function_name="PyObject_Not", error_kind=ERR_NEG_INT, truncated_type=bool_rprimitive, priority=0, ) # abs(obj) function_op( name="builtins.abs", arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="PyNumber_Absolute", error_kind=ERR_MAGIC, priority=0, ) # obj1[obj2] py_get_item_op = method_op( name="__getitem__", arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="PyObject_GetItem", error_kind=ERR_MAGIC, priority=0, ) # obj1[obj2] = obj3 method_op( name="__setitem__", arg_types=[object_rprimitive, object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyObject_SetItem", error_kind=ERR_NEG_INT, priority=0, ) # del obj1[obj2] method_op( name="__delitem__", arg_types=[object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyObject_DelItem", error_kind=ERR_NEG_INT, priority=0, ) # hash(obj) function_op( name="builtins.hash", arg_types=[object_rprimitive], return_type=int_rprimitive, c_function_name="CPyObject_Hash", error_kind=ERR_MAGIC, ) # getattr(obj, attr) py_getattr_op = function_op( name="builtins.getattr", arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyObject_GetAttr", error_kind=ERR_MAGIC, ) # getattr(obj, attr, default) function_op( name="builtins.getattr", arg_types=[object_rprimitive, object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyObject_GetAttr3", error_kind=ERR_MAGIC, ) # setattr(obj, attr, value) py_setattr_op = function_op( name="builtins.setattr", arg_types=[object_rprimitive, object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyObject_SetAttr", error_kind=ERR_NEG_INT, ) # hasattr(obj, attr) py_hasattr_op = function_op( name="builtins.hasattr", arg_types=[object_rprimitive, object_rprimitive], return_type=bool_rprimitive, c_function_name="PyObject_HasAttr", error_kind=ERR_NEVER, ) # del obj.attr py_delattr_op = function_op( name="builtins.delattr", arg_types=[object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyObject_DelAttr", error_kind=ERR_NEG_INT, ) # Call callable object with N positional arguments: func(arg1, ..., argN) # Arguments are (func, arg1, ..., argN). py_call_op = custom_op( arg_types=[], return_type=object_rprimitive, c_function_name="PyObject_CallFunctionObjArgs", error_kind=ERR_MAGIC, var_arg_type=object_rprimitive, extra_int_constants=[(0, pointer_rprimitive)], ) # Call callable object using positional and/or keyword arguments (Python 3.8+) py_vectorcall_op = custom_op( arg_types=[ object_rprimitive, # Callable object_pointer_rprimitive, # Args (PyObject **) c_size_t_rprimitive, # Number of positional args object_rprimitive, ], # Keyword arg names tuple (or NULL) return_type=object_rprimitive, c_function_name="PyObject_Vectorcall", error_kind=ERR_MAGIC, ) # Call method using positional and/or keyword arguments (Python 3.9+) py_vectorcall_method_op = custom_op( arg_types=[ object_rprimitive, # Method name object_pointer_rprimitive, # Args, including self (PyObject **) c_size_t_rprimitive, # Number of positional args, including self object_rprimitive, ], # Keyword arg names tuple (or NULL) return_type=object_rprimitive, c_function_name="PyObject_VectorcallMethod", error_kind=ERR_MAGIC, ) # Call callable object with positional + keyword args: func(*args, **kwargs) # Arguments are (func, *args tuple, **kwargs dict). py_call_with_kwargs_op = custom_op( arg_types=[object_rprimitive, object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="PyObject_Call", error_kind=ERR_MAGIC, ) # Call callable object with positional args only: func(*args) # Arguments are (func, *args tuple). py_call_with_posargs_op = custom_op( arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="PyObject_CallObject", error_kind=ERR_MAGIC, ) # Call method with positional arguments: obj.method(arg1, ...) # Arguments are (object, attribute name, arg1, ...). py_method_call_op = custom_op( arg_types=[], return_type=object_rprimitive, c_function_name="CPyObject_CallMethodObjArgs", error_kind=ERR_MAGIC, var_arg_type=object_rprimitive, extra_int_constants=[(0, pointer_rprimitive)], ) # len(obj) generic_len_op = custom_op( arg_types=[object_rprimitive], return_type=int_rprimitive, c_function_name="CPyObject_Size", error_kind=ERR_MAGIC, ) # len(obj) # same as generic_len_op, however return py_ssize_t generic_ssize_t_len_op = custom_op( arg_types=[object_rprimitive], return_type=c_pyssize_t_rprimitive, c_function_name="PyObject_Size", error_kind=ERR_NEG_INT, ) # iter(obj) iter_op = function_op( name="builtins.iter", arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="PyObject_GetIter", error_kind=ERR_MAGIC, ) # next(iterator) # # Although the error_kind is set to be ERR_NEVER, this can actually # return NULL, and thus it must be checked using Branch.IS_ERROR. next_op = custom_op( arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="PyIter_Next", error_kind=ERR_NEVER, ) # next(iterator) # # Do a next, don't swallow StopIteration, but also don't propagate an # error. (N.B: This can still return NULL without an error to # represent an implicit StopIteration, but if StopIteration is # *explicitly* raised this will not swallow it.) # Can return NULL: see next_op. next_raw_op = custom_op( arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="CPyIter_Next", error_kind=ERR_NEVER, ) # this would be aiter(obj) if it existed aiter_op = custom_op( arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="CPy_GetAIter", error_kind=ERR_MAGIC, ) # this would be anext(obj) if it existed anext_op = custom_op( arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="CPy_GetANext", error_kind=ERR_MAGIC, ) # x.__name__ (requires Python 3.11+) name_op = custom_primitive_op( name="__name__", arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="CPy_GetName", error_kind=ERR_MAGIC, ) # look-up name in tp_dict but don't raise AttributeError on failure generic_getattr = custom_op( arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyObject_GenericGetAttr", error_kind=ERR_NEVER, returns_null=True, ) generic_setattr = custom_op( arg_types=[object_rprimitive, object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyObject_GenericSetAttr", error_kind=ERR_NEG_INT, ) setup_object = custom_op( arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="CPy_SetupObject", error_kind=ERR_MAGIC, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/int_ops.py0000644000175100017510000002237015112307767017644 0ustar00runnerrunner"""Arbitrary-precision integer primitive ops. These mostly operate on (usually) unboxed integers that use a tagged pointer representation (CPyTagged) and correspond to the Python 'int' type. See also the documentation for mypyc.rtypes.int_rprimitive. Use mypyc.ir.ops.IntOp for operations on fixed-width/C integers. """ from __future__ import annotations from mypyc.ir.ops import ( ERR_ALWAYS, ERR_MAGIC, ERR_MAGIC_OVERLAPPING, ERR_NEVER, PrimitiveDescription, ) from mypyc.ir.rtypes import ( RType, bit_rprimitive, bool_rprimitive, c_pyssize_t_rprimitive, float_rprimitive, int16_rprimitive, int32_rprimitive, int64_rprimitive, int_rprimitive, object_rprimitive, str_rprimitive, void_rtype, ) from mypyc.primitives.registry import ( binary_op, custom_op, function_op, load_address_op, method_op, unary_op, ) # Constructors for builtins.int and native int types have the same behavior. In # interpreted mode, native int types are just aliases to 'int'. for int_name in ( "builtins.int", "mypy_extensions.i64", "mypy_extensions.i32", "mypy_extensions.i16", "mypy_extensions.u8", ): # These int constructors produce object_rprimitives that then need to be unboxed # I guess unboxing ourselves would save a check and branch though? # Get the type object for 'builtins.int' or a native int type. # For ordinary calls to int() we use a load_address to the type. # Native ints don't have a separate type object -- we just use 'builtins.int'. load_address_op(name=int_name, type=object_rprimitive, src="PyLong_Type") # int(float). We could do a bit better directly. function_op( name=int_name, arg_types=[float_rprimitive], return_type=int_rprimitive, c_function_name="CPyTagged_FromFloat", error_kind=ERR_MAGIC, ) # int(string) function_op( name=int_name, arg_types=[str_rprimitive], return_type=object_rprimitive, c_function_name="CPyLong_FromStr", error_kind=ERR_MAGIC, ) # int(string, base) function_op( name=int_name, arg_types=[str_rprimitive, int_rprimitive], return_type=object_rprimitive, c_function_name="CPyLong_FromStrWithBase", error_kind=ERR_MAGIC, ) for name in ("builtins.str", "builtins.repr"): # str(int) and repr(int) int_to_str_op = function_op( name=name, arg_types=[int_rprimitive], return_type=str_rprimitive, c_function_name="CPyTagged_Str", error_kind=ERR_MAGIC, priority=2, ) # We need a specialization for str on bools also since the int one is wrong... function_op( name=name, arg_types=[bool_rprimitive], return_type=str_rprimitive, c_function_name="CPyBool_Str", error_kind=ERR_MAGIC, priority=3, ) def int_binary_primitive( op: str, primitive_name: str, return_type: RType = int_rprimitive, error_kind: int = ERR_NEVER ) -> PrimitiveDescription: return binary_op( name=op, arg_types=[int_rprimitive, int_rprimitive], return_type=return_type, primitive_name=primitive_name, error_kind=error_kind, ) int_eq = int_binary_primitive(op="==", primitive_name="int_eq", return_type=bit_rprimitive) int_ne = int_binary_primitive(op="!=", primitive_name="int_ne", return_type=bit_rprimitive) int_lt = int_binary_primitive(op="<", primitive_name="int_lt", return_type=bit_rprimitive) int_le = int_binary_primitive(op="<=", primitive_name="int_le", return_type=bit_rprimitive) int_gt = int_binary_primitive(op=">", primitive_name="int_gt", return_type=bit_rprimitive) int_ge = int_binary_primitive(op=">=", primitive_name="int_ge", return_type=bit_rprimitive) def int_binary_op( name: str, c_function_name: str, return_type: RType = int_rprimitive, error_kind: int = ERR_NEVER, ) -> None: binary_op( name=name, arg_types=[int_rprimitive, int_rprimitive], return_type=return_type, c_function_name=c_function_name, error_kind=error_kind, ) # Binary, unary and augmented assignment operations that operate on CPyTagged ints # are implemented as C functions. int_binary_op("+", "CPyTagged_Add") int_binary_op("-", "CPyTagged_Subtract") int_binary_op("*", "CPyTagged_Multiply") int_binary_op("&", "CPyTagged_And") int_binary_op("|", "CPyTagged_Or") int_binary_op("^", "CPyTagged_Xor") # Divide and remainder we honestly propagate errors from because they # can raise ZeroDivisionError int_binary_op("//", "CPyTagged_FloorDivide", error_kind=ERR_MAGIC) int_binary_op("%", "CPyTagged_Remainder", error_kind=ERR_MAGIC) # Negative shift counts raise an exception int_binary_op(">>", "CPyTagged_Rshift", error_kind=ERR_MAGIC) int_binary_op("<<", "CPyTagged_Lshift", error_kind=ERR_MAGIC) int_binary_op( "/", "CPyTagged_TrueDivide", return_type=float_rprimitive, error_kind=ERR_MAGIC_OVERLAPPING ) # This should work because assignment operators are parsed differently # and the code in irbuild that handles it does the assignment # regardless of whether or not the operator works in place anyway. int_binary_op("+=", "CPyTagged_Add") int_binary_op("-=", "CPyTagged_Subtract") int_binary_op("*=", "CPyTagged_Multiply") int_binary_op("&=", "CPyTagged_And") int_binary_op("|=", "CPyTagged_Or") int_binary_op("^=", "CPyTagged_Xor") int_binary_op("//=", "CPyTagged_FloorDivide", error_kind=ERR_MAGIC) int_binary_op("%=", "CPyTagged_Remainder", error_kind=ERR_MAGIC) int_binary_op(">>=", "CPyTagged_Rshift", error_kind=ERR_MAGIC) int_binary_op("<<=", "CPyTagged_Lshift", error_kind=ERR_MAGIC) def int_unary_op(name: str, c_function_name: str) -> PrimitiveDescription: return unary_op( name=name, arg_type=int_rprimitive, return_type=int_rprimitive, c_function_name=c_function_name, error_kind=ERR_NEVER, ) int_neg_op = int_unary_op("-", "CPyTagged_Negate") int_invert_op = int_unary_op("~", "CPyTagged_Invert") # Primitives related to integer comparison operations: # Equals operation on two boxed tagged integers int_equal_ = custom_op( arg_types=[int_rprimitive, int_rprimitive], return_type=bit_rprimitive, c_function_name="CPyTagged_IsEq_", error_kind=ERR_NEVER, is_pure=True, ) # Less than operation on two boxed tagged integers int_less_than_ = custom_op( arg_types=[int_rprimitive, int_rprimitive], return_type=bit_rprimitive, c_function_name="CPyTagged_IsLt_", error_kind=ERR_NEVER, is_pure=True, ) int64_divide_op = custom_op( arg_types=[int64_rprimitive, int64_rprimitive], return_type=int64_rprimitive, c_function_name="CPyInt64_Divide", error_kind=ERR_MAGIC_OVERLAPPING, ) int64_mod_op = custom_op( arg_types=[int64_rprimitive, int64_rprimitive], return_type=int64_rprimitive, c_function_name="CPyInt64_Remainder", error_kind=ERR_MAGIC_OVERLAPPING, ) int32_divide_op = custom_op( arg_types=[int32_rprimitive, int32_rprimitive], return_type=int32_rprimitive, c_function_name="CPyInt32_Divide", error_kind=ERR_MAGIC_OVERLAPPING, ) int32_mod_op = custom_op( arg_types=[int32_rprimitive, int32_rprimitive], return_type=int32_rprimitive, c_function_name="CPyInt32_Remainder", error_kind=ERR_MAGIC_OVERLAPPING, ) int16_divide_op = custom_op( arg_types=[int16_rprimitive, int16_rprimitive], return_type=int16_rprimitive, c_function_name="CPyInt16_Divide", error_kind=ERR_MAGIC_OVERLAPPING, ) int16_mod_op = custom_op( arg_types=[int16_rprimitive, int16_rprimitive], return_type=int16_rprimitive, c_function_name="CPyInt16_Remainder", error_kind=ERR_MAGIC_OVERLAPPING, ) # Convert tagged int (as PyObject *) to i64 int_to_int64_op = custom_op( arg_types=[object_rprimitive], return_type=int64_rprimitive, c_function_name="CPyLong_AsInt64", error_kind=ERR_MAGIC_OVERLAPPING, ) ssize_t_to_int_op = custom_op( arg_types=[c_pyssize_t_rprimitive], return_type=int_rprimitive, c_function_name="CPyTagged_FromSsize_t", error_kind=ERR_MAGIC, ) int64_to_int_op = custom_op( arg_types=[int64_rprimitive], return_type=int_rprimitive, c_function_name="CPyTagged_FromInt64", error_kind=ERR_MAGIC, ) # Convert tagged int (as PyObject *) to i32 int_to_int32_op = custom_op( arg_types=[object_rprimitive], return_type=int32_rprimitive, c_function_name="CPyLong_AsInt32", error_kind=ERR_MAGIC_OVERLAPPING, ) int32_overflow = custom_op( arg_types=[], return_type=void_rtype, c_function_name="CPyInt32_Overflow", error_kind=ERR_ALWAYS, ) int16_overflow = custom_op( arg_types=[], return_type=void_rtype, c_function_name="CPyInt16_Overflow", error_kind=ERR_ALWAYS, ) uint8_overflow = custom_op( arg_types=[], return_type=void_rtype, c_function_name="CPyUInt8_Overflow", error_kind=ERR_ALWAYS, ) # translate isinstance(obj, int) isinstance_int = function_op( name="builtints.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyLong_Check", error_kind=ERR_NEVER, ) # int.bit_length() method_op( name="bit_length", arg_types=[int_rprimitive], return_type=int_rprimitive, c_function_name="CPyTagged_BitLength", error_kind=ERR_MAGIC, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/list_ops.py0000644000175100017510000002164715112307767020033 0ustar00runnerrunner"""List primitive ops.""" from __future__ import annotations from mypyc.ir.ops import ERR_FALSE, ERR_MAGIC, ERR_NEVER from mypyc.ir.rtypes import ( bit_rprimitive, c_int_rprimitive, c_pyssize_t_rprimitive, int64_rprimitive, int_rprimitive, list_rprimitive, object_rprimitive, pointer_rprimitive, short_int_rprimitive, void_rtype, ) from mypyc.primitives.registry import ( ERR_NEG_INT, binary_op, custom_op, custom_primitive_op, function_op, load_address_op, method_op, ) # Get the 'builtins.list' type object. load_address_op(name="builtins.list", type=object_rprimitive, src="PyList_Type") # sorted(obj) function_op( name="builtins.sorted", arg_types=[object_rprimitive], return_type=list_rprimitive, c_function_name="CPySequence_Sort", error_kind=ERR_MAGIC, ) # list(obj) to_list = function_op( name="builtins.list", arg_types=[object_rprimitive], return_type=list_rprimitive, c_function_name="PySequence_List", error_kind=ERR_MAGIC, ) # Construct an empty list via list(). function_op( name="builtins.list", arg_types=[], return_type=list_rprimitive, c_function_name="PyList_New", error_kind=ERR_MAGIC, extra_int_constants=[(0, int_rprimitive)], ) # translate isinstance(obj, list) isinstance_list = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyList_Check", error_kind=ERR_NEVER, ) new_list_op = custom_op( arg_types=[c_pyssize_t_rprimitive], return_type=list_rprimitive, c_function_name="PyList_New", error_kind=ERR_MAGIC, ) list_build_op = custom_op( arg_types=[c_pyssize_t_rprimitive], return_type=list_rprimitive, c_function_name="CPyList_Build", error_kind=ERR_MAGIC, var_arg_type=object_rprimitive, steals=True, ) # Get pointer to list items (ob_item PyListObject field) list_items = custom_primitive_op( name="list_items", arg_types=[list_rprimitive], return_type=pointer_rprimitive, error_kind=ERR_NEVER, ) # list[index] (for an integer index) list_get_item_op = method_op( name="__getitem__", arg_types=[list_rprimitive, int_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_GetItem", error_kind=ERR_MAGIC, ) # list[index] version with no int tag check for when it is known to be short method_op( name="__getitem__", arg_types=[list_rprimitive, short_int_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_GetItemShort", error_kind=ERR_MAGIC, priority=2, ) # list[index] that produces a borrowed result method_op( name="__getitem__", arg_types=[list_rprimitive, int_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_GetItemBorrow", error_kind=ERR_MAGIC, is_borrowed=True, priority=3, ) # list[index] that produces a borrowed result and index is known to be short method_op( name="__getitem__", arg_types=[list_rprimitive, short_int_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_GetItemShortBorrow", error_kind=ERR_MAGIC, is_borrowed=True, priority=4, ) # Version with native int index method_op( name="__getitem__", arg_types=[list_rprimitive, int64_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_GetItemInt64", error_kind=ERR_MAGIC, priority=5, ) # Version with native int index method_op( name="__getitem__", arg_types=[list_rprimitive, int64_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_GetItemInt64Borrow", is_borrowed=True, error_kind=ERR_MAGIC, priority=6, ) # This is unsafe because it assumes that the index is a non-negative short integer # that is in-bounds for the list. list_get_item_unsafe_op = custom_primitive_op( name="list_get_item_unsafe", arg_types=[list_rprimitive, c_pyssize_t_rprimitive], return_type=object_rprimitive, error_kind=ERR_NEVER, ) # list[index] = obj list_set_item_op = method_op( name="__setitem__", arg_types=[list_rprimitive, int_rprimitive, object_rprimitive], return_type=bit_rprimitive, c_function_name="CPyList_SetItem", error_kind=ERR_FALSE, steals=[False, False, True], ) # list[index_i64] = obj method_op( name="__setitem__", arg_types=[list_rprimitive, int64_rprimitive, object_rprimitive], return_type=bit_rprimitive, c_function_name="CPyList_SetItemInt64", error_kind=ERR_FALSE, steals=[False, False, True], priority=2, ) # PyList_SET_ITEM does no error checking, # and should only be used to fill in brand new lists. new_list_set_item_op = custom_op( arg_types=[list_rprimitive, c_pyssize_t_rprimitive, object_rprimitive], return_type=void_rtype, c_function_name="CPyList_SetItemUnsafe", error_kind=ERR_NEVER, steals=[False, False, True], ) # list.append(obj) list_append_op = method_op( name="append", arg_types=[list_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyList_Append", error_kind=ERR_NEG_INT, ) # list.extend(obj) list_extend_op = method_op( name="extend", arg_types=[list_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_Extend", error_kind=ERR_MAGIC, ) # list.pop() list_pop_last = method_op( name="pop", arg_types=[list_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_PopLast", error_kind=ERR_MAGIC, ) # list.pop(index) method_op( name="pop", arg_types=[list_rprimitive, int_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_Pop", error_kind=ERR_MAGIC, ) # list.count(obj) method_op( name="count", arg_types=[list_rprimitive, object_rprimitive], return_type=short_int_rprimitive, c_function_name="CPyList_Count", error_kind=ERR_MAGIC, ) # list.insert(index, obj) method_op( name="insert", arg_types=[list_rprimitive, int_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyList_Insert", error_kind=ERR_NEG_INT, ) # list.sort() method_op( name="sort", arg_types=[list_rprimitive], return_type=c_int_rprimitive, c_function_name="PyList_Sort", error_kind=ERR_NEG_INT, ) # list.reverse() method_op( name="reverse", arg_types=[list_rprimitive], return_type=c_int_rprimitive, c_function_name="PyList_Reverse", error_kind=ERR_NEG_INT, ) # list.remove(obj) method_op( name="remove", arg_types=[list_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyList_Remove", error_kind=ERR_NEG_INT, ) # list.index(obj) method_op( name="index", arg_types=[list_rprimitive, object_rprimitive], return_type=int_rprimitive, c_function_name="CPyList_Index", error_kind=ERR_MAGIC, ) # list.clear() method_op( name="clear", arg_types=[list_rprimitive], return_type=bit_rprimitive, c_function_name="CPyList_Clear", error_kind=ERR_FALSE, ) # list.copy() method_op( name="copy", arg_types=[list_rprimitive], return_type=list_rprimitive, c_function_name="CPyList_Copy", error_kind=ERR_MAGIC, ) # list + list binary_op( name="+", arg_types=[list_rprimitive, list_rprimitive], return_type=list_rprimitive, c_function_name="PySequence_Concat", error_kind=ERR_MAGIC, ) # list += list binary_op( name="+=", arg_types=[list_rprimitive, object_rprimitive], return_type=list_rprimitive, c_function_name="PySequence_InPlaceConcat", error_kind=ERR_MAGIC, ) # list * int binary_op( name="*", arg_types=[list_rprimitive, int_rprimitive], return_type=list_rprimitive, c_function_name="CPySequence_Multiply", error_kind=ERR_MAGIC, ) # int * list binary_op( name="*", arg_types=[int_rprimitive, list_rprimitive], return_type=list_rprimitive, c_function_name="CPySequence_RMultiply", error_kind=ERR_MAGIC, ) # list *= int binary_op( name="*=", arg_types=[list_rprimitive, int_rprimitive], return_type=list_rprimitive, c_function_name="CPySequence_InPlaceMultiply", error_kind=ERR_MAGIC, ) # list[begin:end] list_slice_op = custom_op( arg_types=[list_rprimitive, int_rprimitive, int_rprimitive], return_type=object_rprimitive, c_function_name="CPyList_GetSlice", error_kind=ERR_MAGIC, ) supports_sequence_protocol = custom_op( arg_types=[object_rprimitive], return_type=c_int_rprimitive, c_function_name="CPySequence_Check", error_kind=ERR_NEVER, ) sequence_get_item = custom_op( arg_types=[object_rprimitive, c_pyssize_t_rprimitive], return_type=object_rprimitive, c_function_name="PySequence_GetItem", error_kind=ERR_NEVER, ) sequence_get_slice = custom_op( arg_types=[object_rprimitive, c_pyssize_t_rprimitive, c_pyssize_t_rprimitive], return_type=object_rprimitive, c_function_name="PySequence_GetSlice", error_kind=ERR_MAGIC, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/misc_ops.py0000644000175100017510000003310515112307767020003 0ustar00runnerrunner"""Miscellaneous primitive ops.""" from __future__ import annotations from mypyc.ir.ops import ERR_FALSE, ERR_MAGIC, ERR_MAGIC_OVERLAPPING, ERR_NEVER from mypyc.ir.rtypes import ( KNOWN_NATIVE_TYPES, bit_rprimitive, bool_rprimitive, bytes_rprimitive, c_int_rprimitive, c_pointer_rprimitive, c_pyssize_t_rprimitive, cstring_rprimitive, dict_rprimitive, float_rprimitive, int_rprimitive, none_rprimitive, object_pointer_rprimitive, object_rprimitive, pointer_rprimitive, str_rprimitive, uint8_rprimitive, void_rtype, ) from mypyc.primitives.registry import ( ERR_NEG_INT, custom_op, custom_primitive_op, function_op, load_address_op, method_op, ) # Get the 'bool' type object. load_address_op(name="builtins.bool", type=object_rprimitive, src="PyBool_Type") # Get the 'range' type object. load_address_op(name="builtins.range", type=object_rprimitive, src="PyRange_Type") # Get the boxed Python 'None' object none_object_op = load_address_op(name="Py_None", type=object_rprimitive, src="_Py_NoneStruct") # Get the boxed object '...' ellipsis_op = load_address_op(name="...", type=object_rprimitive, src="_Py_EllipsisObject") # Get the boxed NotImplemented object not_implemented_op = load_address_op( name="builtins.NotImplemented", type=object_rprimitive, src="_Py_NotImplementedStruct" ) # Get the boxed StopAsyncIteration object stop_async_iteration_op = load_address_op( name="builtins.StopAsyncIteration", type=object_rprimitive, src="PyExc_StopAsyncIteration" ) # id(obj) function_op( name="builtins.id", arg_types=[object_rprimitive], return_type=int_rprimitive, c_function_name="CPyTagged_Id", error_kind=ERR_NEVER, ) # Return the result of obj.__await()__ or obj.__iter__() (if no __await__ exists) coro_op = custom_op( arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="CPy_GetCoro", error_kind=ERR_MAGIC, ) # Do obj.send(value), or a next(obj) if second arg is None. # (This behavior is to match the PEP 380 spec for yield from.) # Like next_raw_op, don't swallow StopIteration, # but also don't propagate an error. # Can return NULL: see next_op. send_op = custom_op( arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyIter_Send", error_kind=ERR_NEVER, ) # This is sort of unfortunate but oh well: yield_from_except performs most of the # error handling logic in `yield from` operations. It returns a bool and passes # a value by address. # If the bool is true, then a StopIteration was received and we should return. # If the bool is false, then the value should be yielded. # The normal case is probably that it signals an exception, which gets # propagated. # Op used for "yield from" error handling. # See comment in CPy_YieldFromErrorHandle for more information. yield_from_except_op = custom_op( arg_types=[object_rprimitive, object_pointer_rprimitive], return_type=bool_rprimitive, c_function_name="CPy_YieldFromErrorHandle", error_kind=ERR_MAGIC, ) # Create method object from a callable object and self. method_new_op = custom_op( arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="PyMethod_New", error_kind=ERR_MAGIC, ) # Check if the current exception is a StopIteration and return its value if so. # Treats "no exception" as StopIteration with a None value. # If it is a different exception, re-reraise it. check_stop_op = custom_op( arg_types=[], return_type=object_rprimitive, c_function_name="CPy_FetchStopIterationValue", error_kind=ERR_MAGIC, ) # Determine the most derived metaclass and check for metaclass conflicts. # Arguments are (metaclass, bases). py_calc_meta_op = custom_op( arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPy_CalculateMetaclass", error_kind=ERR_MAGIC, is_borrowed=True, ) # Import a module (plain) import_op = custom_op( arg_types=[str_rprimitive], return_type=object_rprimitive, c_function_name="PyImport_Import", error_kind=ERR_MAGIC, ) # Table-driven import op. import_many_op = custom_op( arg_types=[ object_rprimitive, c_pointer_rprimitive, object_rprimitive, object_rprimitive, object_rprimitive, c_pointer_rprimitive, ], return_type=bit_rprimitive, c_function_name="CPyImport_ImportMany", error_kind=ERR_FALSE, ) # From import helper op import_from_many_op = custom_op( arg_types=[object_rprimitive, object_rprimitive, object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPyImport_ImportFromMany", error_kind=ERR_MAGIC, ) # Get the sys.modules dictionary get_module_dict_op = custom_op( arg_types=[], return_type=dict_rprimitive, c_function_name="PyImport_GetModuleDict", error_kind=ERR_NEVER, is_borrowed=True, ) # isinstance(obj, cls) slow_isinstance_op = function_op( name="builtins.isinstance", arg_types=[object_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyObject_IsInstance", error_kind=ERR_NEG_INT, truncated_type=bool_rprimitive, ) # Faster isinstance(obj, cls) that only works with native classes and doesn't perform # type checking of the type argument. fast_isinstance_op = function_op( "builtins.isinstance", arg_types=[object_rprimitive, object_rprimitive], return_type=bool_rprimitive, c_function_name="CPy_TypeCheck", error_kind=ERR_NEVER, priority=0, ) # bool(obj) with unboxed result bool_op = function_op( name="builtins.bool", arg_types=[object_rprimitive], return_type=c_int_rprimitive, c_function_name="PyObject_IsTrue", error_kind=ERR_NEG_INT, truncated_type=bool_rprimitive, ) # isinstance(obj, bool) isinstance_bool = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyBool_Check", error_kind=ERR_NEVER, ) # slice(start, stop, step) new_slice_op = function_op( name="builtins.slice", arg_types=[object_rprimitive, object_rprimitive, object_rprimitive], c_function_name="PySlice_New", return_type=object_rprimitive, error_kind=ERR_MAGIC, ) # type(obj) type_op = function_op( name="builtins.type", arg_types=[object_rprimitive], c_function_name="CPy_TYPE", return_type=object_rprimitive, error_kind=ERR_NEVER, ) # Get 'builtins.type' (base class of all classes) type_object_op = load_address_op(name="builtins.type", type=object_rprimitive, src="PyType_Type") # Create a heap type based on a template non-heap type. # See CPyType_FromTemplate for more docs. pytype_from_template_op = custom_op( arg_types=[object_rprimitive, object_rprimitive, str_rprimitive], return_type=object_rprimitive, c_function_name="CPyType_FromTemplate", error_kind=ERR_MAGIC, ) # Create a dataclass from an extension class. See # CPyDataclass_SleightOfHand for more docs. dataclass_sleight_of_hand = custom_op( arg_types=[ object_rprimitive, object_rprimitive, dict_rprimitive, dict_rprimitive, str_rprimitive, ], return_type=bit_rprimitive, c_function_name="CPyDataclass_SleightOfHand", error_kind=ERR_FALSE, ) # Raise ValueError if length of first argument is not equal to the second argument. # The first argument must be a list or a variable-length tuple. check_unpack_count_op = custom_op( arg_types=[object_rprimitive, c_pyssize_t_rprimitive], return_type=c_int_rprimitive, c_function_name="CPySequence_CheckUnpackCount", error_kind=ERR_NEG_INT, ) # Register an implementation for a singledispatch function register_function = custom_op( arg_types=[object_rprimitive, object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="CPySingledispatch_RegisterFunction", error_kind=ERR_MAGIC, ) # Initialize a PyObject * item in a memory buffer (steal the value) buf_init_item = custom_primitive_op( name="buf_init_item", arg_types=[pointer_rprimitive, c_pyssize_t_rprimitive, object_rprimitive], return_type=void_rtype, error_kind=ERR_NEVER, steals=[False, False, True], ) # Get length of PyVarObject instance (e.g. list or tuple) var_object_size = custom_primitive_op( name="var_object_size", arg_types=[object_rprimitive], return_type=c_pyssize_t_rprimitive, error_kind=ERR_NEVER, ) # Set the lazy value compute function of an TypeAliasType instance (Python 3.12+). # This must only be used as part of initializing the object. Any existing value # will be cleared. set_type_alias_compute_function_op = custom_primitive_op( name="set_type_alias_compute_function", c_function_name="CPy_SetTypeAliasTypeComputeFunction", # (alias object, value compute function) arg_types=[object_rprimitive, object_rprimitive], return_type=void_rtype, error_kind=ERR_NEVER, ) debug_print_op = custom_primitive_op( name="debug_print", c_function_name="CPyDebug_PrintObject", arg_types=[object_rprimitive], return_type=void_rtype, error_kind=ERR_NEVER, ) # Log an event to a trace log, which is written to a file during execution. log_trace_event = custom_primitive_op( name="log_trace_event", c_function_name="CPyTrace_LogEvent", # (fullname of function/location, line number, operation name, operation details) arg_types=[cstring_rprimitive, cstring_rprimitive, cstring_rprimitive, cstring_rprimitive], return_type=void_rtype, error_kind=ERR_NEVER, ) # Mark object as immortal -- it won't be freed via reference counting, as # the reference count won't be updated any longer. Immortal objects support # fast concurrent read-only access from multiple threads when using free # threading, since this eliminates contention from concurrent reference count # updates. # # Needs at least Python 3.14. set_immortal_op = custom_primitive_op( name="set_immmortal", c_function_name="CPy_SetImmortal", arg_types=[object_rprimitive], return_type=void_rtype, error_kind=ERR_NEVER, ) write_buffer_rprimitive = KNOWN_NATIVE_TYPES["librt.internal.WriteBuffer"] read_buffer_rprimitive = KNOWN_NATIVE_TYPES["librt.internal.ReadBuffer"] # ReadBuffer(source) function_op( name="librt.internal.ReadBuffer", arg_types=[bytes_rprimitive], return_type=read_buffer_rprimitive, c_function_name="ReadBuffer_internal", error_kind=ERR_MAGIC, ) # WriteBuffer() function_op( name="librt.internal.WriteBuffer", arg_types=[], return_type=write_buffer_rprimitive, c_function_name="WriteBuffer_internal", error_kind=ERR_MAGIC, ) method_op( name="getvalue", arg_types=[write_buffer_rprimitive], return_type=bytes_rprimitive, c_function_name="WriteBuffer_getvalue_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.write_bool", arg_types=[object_rprimitive, bool_rprimitive], return_type=none_rprimitive, c_function_name="write_bool_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.read_bool", arg_types=[object_rprimitive], return_type=bool_rprimitive, c_function_name="read_bool_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.write_str", arg_types=[object_rprimitive, str_rprimitive], return_type=none_rprimitive, c_function_name="write_str_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.read_str", arg_types=[object_rprimitive], return_type=str_rprimitive, c_function_name="read_str_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.write_bytes", arg_types=[object_rprimitive, bytes_rprimitive], return_type=none_rprimitive, c_function_name="write_bytes_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.read_bytes", arg_types=[object_rprimitive], return_type=bytes_rprimitive, c_function_name="read_bytes_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.write_float", arg_types=[object_rprimitive, float_rprimitive], return_type=none_rprimitive, c_function_name="write_float_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.read_float", arg_types=[object_rprimitive], return_type=float_rprimitive, c_function_name="read_float_internal", error_kind=ERR_MAGIC_OVERLAPPING, ) function_op( name="librt.internal.write_int", arg_types=[object_rprimitive, int_rprimitive], return_type=none_rprimitive, c_function_name="write_int_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.read_int", arg_types=[object_rprimitive], return_type=int_rprimitive, c_function_name="read_int_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.write_tag", arg_types=[object_rprimitive, uint8_rprimitive], return_type=none_rprimitive, c_function_name="write_tag_internal", error_kind=ERR_MAGIC, ) function_op( name="librt.internal.read_tag", arg_types=[object_rprimitive], return_type=uint8_rprimitive, c_function_name="read_tag_internal", error_kind=ERR_MAGIC_OVERLAPPING, ) function_op( name="librt.internal.cache_version", arg_types=[], return_type=uint8_rprimitive, c_function_name="cache_version_internal", error_kind=ERR_NEVER, ) function_op( name="librt.base64.b64encode", arg_types=[bytes_rprimitive], return_type=bytes_rprimitive, c_function_name="LibRTBase64_b64encode_internal", error_kind=ERR_MAGIC, experimental=True, capsule="librt.base64", ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/registry.py0000644000175100017510000003076515112307767020050 0ustar00runnerrunner"""Utilities for defining primitive ops. Most of the ops can be automatically generated by matching against AST nodes and types. For example, a func_op is automatically generated when a specific function is called with the specific positional argument count and argument types. Example op definition: list_len_op = func_op(name='builtins.len', arg_types=[list_rprimitive], result_type=short_int_rprimitive, error_kind=ERR_NEVER, emit=emit_len) This op is automatically generated for calls to len() with a single list argument. The result type is short_int_rprimitive, and this never raises an exception (ERR_NEVER). The function emit_len is used to generate C for this op. The op can also be manually generated using "list_len_op". Ops that are only generated automatically don't need to be assigned to a module attribute. Ops defined with custom_op are only explicitly generated in mypyc.irbuild and won't be generated automatically. They are always assigned to a module attribute, as otherwise they won't be accessible. The actual ops are defined in other submodules of this package, grouped by category. Most operations have fallback implementations that apply to all possible arguments and types. For example, there are generic implementations of arbitrary function and method calls, and binary operators. These generic implementations are typically slower than specialized ones, but we tend to rely on them for infrequently used ops. It's impractical to have optimized implementations of all ops. """ from __future__ import annotations from typing import Final, NamedTuple from mypyc.ir.ops import PrimitiveDescription, StealsDescription from mypyc.ir.rtypes import RType # Error kind for functions that return negative integer on exception. This # is only used for primitives. We translate it away during IR building. ERR_NEG_INT: Final = 10 class CFunctionDescription(NamedTuple): name: str arg_types: list[RType] return_type: RType var_arg_type: RType | None truncated_type: RType | None c_function_name: str error_kind: int steals: StealsDescription is_borrowed: bool ordering: list[int] | None extra_int_constants: list[tuple[int, RType]] priority: int is_pure: bool returns_null: bool capsule: str | None # A description for C load operations including LoadGlobal and LoadAddress class LoadAddressDescription(NamedTuple): name: str type: RType src: str # name of the target to load # Primitive ops for method call (such as 'str.join') method_call_ops: dict[str, list[PrimitiveDescription]] = {} # Primitive ops for top level function call (such as 'builtins.list') function_ops: dict[str, list[PrimitiveDescription]] = {} # Primitive ops for binary operations binary_ops: dict[str, list[PrimitiveDescription]] = {} # Primitive ops for unary ops unary_ops: dict[str, list[PrimitiveDescription]] = {} builtin_names: dict[str, tuple[RType, str]] = {} def method_op( name: str, arg_types: list[RType], return_type: RType, c_function_name: str, error_kind: int, var_arg_type: RType | None = None, truncated_type: RType | None = None, ordering: list[int] | None = None, extra_int_constants: list[tuple[int, RType]] | None = None, steals: StealsDescription = False, is_borrowed: bool = False, priority: int = 1, is_pure: bool = False, capsule: str | None = None, ) -> PrimitiveDescription: """Define a c function call op that replaces a method call. This will be automatically generated by matching against the AST. Args: name: short name of the method (for example, 'append') arg_types: argument types; the receiver is always the first argument return_type: type of the return value. Use void_rtype to represent void. c_function_name: name of the C function to call error_kind: how errors are represented in the result (one of ERR_*) var_arg_type: type of all variable arguments truncated_type: type to truncated to(See Truncate for info) if it's defined both return_type and it should be non-referenced integer types or bool type ordering: optional ordering of the arguments, if defined, reorders the arguments accordingly. should never be used together with var_arg_type. all the other arguments(such as arg_types) are in the order accepted by the python syntax(before reordering) extra_int_constants: optional extra integer constants as the last arguments to a C call steals: description of arguments that this steals (ref count wise) is_borrowed: if True, returned value is borrowed (no need to decrease refcount) priority: if multiple ops match, the one with the highest priority is picked is_pure: if True, declare that the C function has no side effects, takes immutable arguments, and never raises an exception """ if extra_int_constants is None: extra_int_constants = [] ops = method_call_ops.setdefault(name, []) desc = PrimitiveDescription( name, arg_types, return_type, var_arg_type, truncated_type, c_function_name, error_kind, steals, is_borrowed, ordering, extra_int_constants, priority, is_pure=is_pure, experimental=False, capsule=capsule, ) ops.append(desc) return desc def function_op( name: str, arg_types: list[RType], return_type: RType, c_function_name: str, error_kind: int, var_arg_type: RType | None = None, truncated_type: RType | None = None, ordering: list[int] | None = None, extra_int_constants: list[tuple[int, RType]] | None = None, steals: StealsDescription = False, is_borrowed: bool = False, priority: int = 1, experimental: bool = False, capsule: str | None = None, ) -> PrimitiveDescription: """Define a C function call op that replaces a function call. This will be automatically generated by matching against the AST. Most arguments are similar to method_op(). Args: name: full name of the function arg_types: positional argument types for which this applies """ if extra_int_constants is None: extra_int_constants = [] ops = function_ops.setdefault(name, []) desc = PrimitiveDescription( name, arg_types, return_type, var_arg_type=var_arg_type, truncated_type=truncated_type, c_function_name=c_function_name, error_kind=error_kind, steals=steals, is_borrowed=is_borrowed, ordering=ordering, extra_int_constants=extra_int_constants, priority=priority, is_pure=False, experimental=experimental, capsule=capsule, ) ops.append(desc) return desc def binary_op( name: str, arg_types: list[RType], return_type: RType, error_kind: int, c_function_name: str | None = None, primitive_name: str | None = None, var_arg_type: RType | None = None, truncated_type: RType | None = None, ordering: list[int] | None = None, extra_int_constants: list[tuple[int, RType]] | None = None, steals: StealsDescription = False, is_borrowed: bool = False, priority: int = 1, capsule: str | None = None, ) -> PrimitiveDescription: """Define a c function call op for a binary operation. This will be automatically generated by matching against the AST. Most arguments are similar to method_op(), but exactly two argument types are expected. """ assert c_function_name is not None or primitive_name is not None assert not (c_function_name is not None and primitive_name is not None) if extra_int_constants is None: extra_int_constants = [] ops = binary_ops.setdefault(name, []) desc = PrimitiveDescription( name=primitive_name or name, arg_types=arg_types, return_type=return_type, var_arg_type=var_arg_type, truncated_type=truncated_type, c_function_name=c_function_name, error_kind=error_kind, steals=steals, is_borrowed=is_borrowed, ordering=ordering, extra_int_constants=extra_int_constants, priority=priority, is_pure=False, experimental=False, capsule=capsule, ) ops.append(desc) return desc def custom_op( arg_types: list[RType], return_type: RType, c_function_name: str, error_kind: int, var_arg_type: RType | None = None, truncated_type: RType | None = None, ordering: list[int] | None = None, extra_int_constants: list[tuple[int, RType]] | None = None, steals: StealsDescription = False, is_borrowed: bool = False, *, is_pure: bool = False, returns_null: bool = False, ) -> CFunctionDescription: """Create a one-off CallC op that can't be automatically generated from the AST. Most arguments are similar to method_op(). """ if extra_int_constants is None: extra_int_constants = [] return CFunctionDescription( "", arg_types, return_type, var_arg_type, truncated_type, c_function_name, error_kind, steals, is_borrowed, ordering, extra_int_constants, 0, is_pure=is_pure, returns_null=returns_null, capsule=None, ) def custom_primitive_op( name: str, arg_types: list[RType], return_type: RType, error_kind: int, c_function_name: str | None = None, var_arg_type: RType | None = None, truncated_type: RType | None = None, ordering: list[int] | None = None, extra_int_constants: list[tuple[int, RType]] | None = None, steals: StealsDescription = False, is_borrowed: bool = False, is_pure: bool = False, capsule: str | None = None, ) -> PrimitiveDescription: """Define a primitive op that can't be automatically generated based on the AST. Most arguments are similar to method_op(). """ if extra_int_constants is None: extra_int_constants = [] return PrimitiveDescription( name=name, arg_types=arg_types, return_type=return_type, var_arg_type=var_arg_type, truncated_type=truncated_type, c_function_name=c_function_name, error_kind=error_kind, steals=steals, is_borrowed=is_borrowed, ordering=ordering, extra_int_constants=extra_int_constants, priority=0, is_pure=is_pure, experimental=False, capsule=capsule, ) def unary_op( name: str, arg_type: RType, return_type: RType, c_function_name: str, error_kind: int, truncated_type: RType | None = None, ordering: list[int] | None = None, extra_int_constants: list[tuple[int, RType]] | None = None, steals: StealsDescription = False, is_borrowed: bool = False, priority: int = 1, is_pure: bool = False, capsule: str | None = None, ) -> PrimitiveDescription: """Define a primitive op for an unary operation. This will be automatically generated by matching against the AST. Most arguments are similar to method_op(), but exactly one argument type is expected. """ if extra_int_constants is None: extra_int_constants = [] ops = unary_ops.setdefault(name, []) desc = PrimitiveDescription( name, [arg_type], return_type, var_arg_type=None, truncated_type=truncated_type, c_function_name=c_function_name, error_kind=error_kind, steals=steals, is_borrowed=is_borrowed, ordering=ordering, extra_int_constants=extra_int_constants, priority=priority, is_pure=is_pure, experimental=False, capsule=capsule, ) ops.append(desc) return desc def load_address_op(name: str, type: RType, src: str) -> LoadAddressDescription: assert name not in builtin_names, "already defined: %s" % name builtin_names[name] = (type, src) return LoadAddressDescription(name, type, src) # Import various modules that set up global state. import mypyc.primitives.bytes_ops import mypyc.primitives.dict_ops import mypyc.primitives.float_ops import mypyc.primitives.int_ops import mypyc.primitives.list_ops import mypyc.primitives.misc_ops import mypyc.primitives.str_ops import mypyc.primitives.tuple_ops import mypyc.primitives.weakref_ops # noqa: F401 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/set_ops.py0000644000175100017510000000732315112307767017646 0ustar00runnerrunner"""Primitive set and frozenset ops.""" from __future__ import annotations from mypyc.ir.ops import ERR_FALSE, ERR_MAGIC, ERR_NEVER from mypyc.ir.rtypes import ( bit_rprimitive, bool_rprimitive, c_int_rprimitive, frozenset_rprimitive, object_rprimitive, pointer_rprimitive, set_rprimitive, ) from mypyc.primitives.registry import ( ERR_NEG_INT, binary_op, function_op, load_address_op, method_op, ) # Get the 'builtins.set' type object. load_address_op(name="builtins.set", type=object_rprimitive, src="PySet_Type") # Get the 'builtins.frozenset' type object. load_address_op(name="builtins.frozenset", type=object_rprimitive, src="PyFrozenSet_Type") # Construct an empty set. new_set_op = function_op( name="builtins.set", arg_types=[], return_type=set_rprimitive, c_function_name="PySet_New", error_kind=ERR_MAGIC, extra_int_constants=[(0, pointer_rprimitive)], ) # set(obj) function_op( name="builtins.set", arg_types=[object_rprimitive], return_type=set_rprimitive, c_function_name="PySet_New", error_kind=ERR_MAGIC, ) # Construct an empty frozenset function_op( name="builtins.frozenset", arg_types=[], return_type=frozenset_rprimitive, c_function_name="PyFrozenSet_New", error_kind=ERR_MAGIC, extra_int_constants=[(0, pointer_rprimitive)], ) # frozenset(obj) function_op( name="builtins.frozenset", arg_types=[object_rprimitive], return_type=frozenset_rprimitive, c_function_name="PyFrozenSet_New", error_kind=ERR_MAGIC, ) # translate isinstance(obj, set) isinstance_set = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PySet_Check", error_kind=ERR_NEVER, ) # translate isinstance(obj, frozenset) isinstance_frozenset = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyFrozenSet_Check", error_kind=ERR_NEVER, ) # item in set set_in_op = binary_op( name="in", arg_types=[object_rprimitive, set_rprimitive], return_type=c_int_rprimitive, c_function_name="PySet_Contains", error_kind=ERR_NEG_INT, truncated_type=bool_rprimitive, ordering=[1, 0], ) # item in frozenset binary_op( name="in", arg_types=[object_rprimitive, frozenset_rprimitive], return_type=c_int_rprimitive, c_function_name="PySet_Contains", error_kind=ERR_NEG_INT, truncated_type=bool_rprimitive, ordering=[1, 0], ) # set.remove(obj) method_op( name="remove", arg_types=[set_rprimitive, object_rprimitive], return_type=bit_rprimitive, c_function_name="CPySet_Remove", error_kind=ERR_FALSE, ) # set.discard(obj) method_op( name="discard", arg_types=[set_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PySet_Discard", error_kind=ERR_NEG_INT, ) # set.add(obj) set_add_op = method_op( name="add", arg_types=[set_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="PySet_Add", error_kind=ERR_NEG_INT, ) # set.update(obj) # # This is not a public API but looks like it should be fine. set_update_op = method_op( name="update", arg_types=[set_rprimitive, object_rprimitive], return_type=c_int_rprimitive, c_function_name="_PySet_Update", error_kind=ERR_NEG_INT, ) # set.clear() method_op( name="clear", arg_types=[set_rprimitive], return_type=c_int_rprimitive, c_function_name="PySet_Clear", error_kind=ERR_NEG_INT, ) # set.pop() method_op( name="pop", arg_types=[set_rprimitive], return_type=object_rprimitive, c_function_name="PySet_Pop", error_kind=ERR_MAGIC, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/str_ops.py0000644000175100017510000003204315112307767017660 0ustar00runnerrunner"""Primitive str ops.""" from __future__ import annotations from mypyc.ir.ops import ERR_MAGIC, ERR_NEVER from mypyc.ir.rtypes import ( RType, bit_rprimitive, bool_rprimitive, bytes_rprimitive, c_int_rprimitive, c_pyssize_t_rprimitive, int_rprimitive, list_rprimitive, object_rprimitive, pointer_rprimitive, str_rprimitive, tuple_rprimitive, ) from mypyc.primitives.registry import ( ERR_NEG_INT, binary_op, custom_op, custom_primitive_op, function_op, load_address_op, method_op, ) # Get the 'str' type object. load_address_op(name="builtins.str", type=object_rprimitive, src="PyUnicode_Type") # str(obj) str_op = function_op( name="builtins.str", arg_types=[object_rprimitive], return_type=str_rprimitive, c_function_name="PyObject_Str", error_kind=ERR_MAGIC, ) # repr(obj) function_op( name="builtins.repr", arg_types=[object_rprimitive], return_type=str_rprimitive, c_function_name="PyObject_Repr", error_kind=ERR_MAGIC, ) # translate isinstance(obj, str) isinstance_str = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyUnicode_Check", error_kind=ERR_NEVER, ) # str1 + str2 binary_op( name="+", arg_types=[str_rprimitive, str_rprimitive], return_type=str_rprimitive, c_function_name="PyUnicode_Concat", error_kind=ERR_MAGIC, ) # str1 += str2 # # PyUnicode_Append makes an effort to reuse the LHS when the refcount # is 1. This is super dodgy but oh well, the interpreter does it. binary_op( name="+=", arg_types=[str_rprimitive, str_rprimitive], return_type=str_rprimitive, c_function_name="CPyStr_Append", error_kind=ERR_MAGIC, steals=[True, False], ) # str1 == str2 (very common operation, so we provide our own) str_eq = custom_primitive_op( name="str_eq", c_function_name="CPyStr_Equal", arg_types=[str_rprimitive, str_rprimitive], return_type=bool_rprimitive, error_kind=ERR_NEVER, ) str_eq_literal = custom_primitive_op( name="str_eq_literal", c_function_name="CPyStr_EqualLiteral", arg_types=[str_rprimitive, str_rprimitive, c_pyssize_t_rprimitive], return_type=bool_rprimitive, error_kind=ERR_NEVER, ) unicode_compare = custom_op( arg_types=[str_rprimitive, str_rprimitive], return_type=c_int_rprimitive, c_function_name="PyUnicode_Compare", error_kind=ERR_NEVER, ) # str[index] (for an int index) method_op( name="__getitem__", arg_types=[str_rprimitive, int_rprimitive], return_type=str_rprimitive, c_function_name="CPyStr_GetItem", error_kind=ERR_MAGIC, ) # This is unsafe since it assumes that the index is within reasonable bounds. # In the future this might do no bounds checking at all. str_get_item_unsafe_op = custom_op( arg_types=[str_rprimitive, c_pyssize_t_rprimitive], return_type=str_rprimitive, c_function_name="CPyStr_GetItemUnsafe", error_kind=ERR_MAGIC, ) # str[begin:end] str_slice_op = custom_op( arg_types=[str_rprimitive, int_rprimitive, int_rprimitive], return_type=object_rprimitive, c_function_name="CPyStr_GetSlice", error_kind=ERR_MAGIC, ) # item in str binary_op( name="in", arg_types=[str_rprimitive, str_rprimitive], return_type=c_int_rprimitive, c_function_name="PyUnicode_Contains", error_kind=ERR_NEG_INT, truncated_type=bool_rprimitive, ordering=[1, 0], ) # str.find(...) and str.rfind(...) str_find_types: list[RType] = [str_rprimitive, str_rprimitive, int_rprimitive, int_rprimitive] str_find_functions = ["CPyStr_Find", "CPyStr_Find", "CPyStr_FindWithEnd"] str_find_constants: list[list[tuple[int, RType]]] = [[(0, c_int_rprimitive)], [], []] str_rfind_constants: list[list[tuple[int, RType]]] = [[(0, c_int_rprimitive)], [], []] for i in range(len(str_find_types) - 1): method_op( name="find", arg_types=str_find_types[0 : i + 2], return_type=int_rprimitive, c_function_name=str_find_functions[i], extra_int_constants=str_find_constants[i] + [(1, c_int_rprimitive)], error_kind=ERR_MAGIC, ) method_op( name="rfind", arg_types=str_find_types[0 : i + 2], return_type=int_rprimitive, c_function_name=str_find_functions[i], extra_int_constants=str_rfind_constants[i] + [(-1, c_int_rprimitive)], error_kind=ERR_MAGIC, ) # str.join(obj) method_op( name="join", arg_types=[str_rprimitive, object_rprimitive], return_type=str_rprimitive, c_function_name="PyUnicode_Join", error_kind=ERR_MAGIC, ) str_build_op = custom_op( arg_types=[c_pyssize_t_rprimitive], return_type=str_rprimitive, c_function_name="CPyStr_Build", error_kind=ERR_MAGIC, var_arg_type=str_rprimitive, ) # str.strip, str.lstrip, str.rstrip for strip_prefix in ["l", "r", ""]: method_op( name=f"{strip_prefix}strip", arg_types=[str_rprimitive, str_rprimitive], return_type=str_rprimitive, c_function_name=f"CPyStr_{strip_prefix.upper()}Strip", error_kind=ERR_NEVER, ) method_op( name=f"{strip_prefix}strip", arg_types=[str_rprimitive], return_type=str_rprimitive, c_function_name=f"CPyStr_{strip_prefix.upper()}Strip", # This 0 below is implicitly treated as NULL in C. extra_int_constants=[(0, c_int_rprimitive)], error_kind=ERR_NEVER, ) # str.startswith(str) method_op( name="startswith", arg_types=[str_rprimitive, str_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyStr_Startswith", truncated_type=bool_rprimitive, error_kind=ERR_NEVER, ) # str.startswith(tuple) method_op( name="startswith", arg_types=[str_rprimitive, tuple_rprimitive], return_type=bool_rprimitive, c_function_name="CPyStr_Startswith", error_kind=ERR_MAGIC, ) # str.endswith(str) method_op( name="endswith", arg_types=[str_rprimitive, str_rprimitive], return_type=c_int_rprimitive, c_function_name="CPyStr_Endswith", truncated_type=bool_rprimitive, error_kind=ERR_NEVER, ) # str.endswith(tuple) method_op( name="endswith", arg_types=[str_rprimitive, tuple_rprimitive], return_type=bool_rprimitive, c_function_name="CPyStr_Endswith", error_kind=ERR_MAGIC, ) # str.removeprefix(str) method_op( name="removeprefix", arg_types=[str_rprimitive, str_rprimitive], return_type=str_rprimitive, c_function_name="CPyStr_Removeprefix", error_kind=ERR_NEVER, ) # str.removesuffix(str) method_op( name="removesuffix", arg_types=[str_rprimitive, str_rprimitive], return_type=str_rprimitive, c_function_name="CPyStr_Removesuffix", error_kind=ERR_NEVER, ) # str.split(...) and str.rsplit(...) str_split_types: list[RType] = [str_rprimitive, str_rprimitive, int_rprimitive] str_split_functions = ["PyUnicode_Split", "PyUnicode_Split", "CPyStr_Split"] str_rsplit_functions = ["PyUnicode_RSplit", "PyUnicode_RSplit", "CPyStr_RSplit"] str_split_constants: list[list[tuple[int, RType]]] = [ [(0, pointer_rprimitive), (-1, c_int_rprimitive)], [(-1, c_int_rprimitive)], [], ] for i in range(len(str_split_types)): method_op( name="split", arg_types=str_split_types[0 : i + 1], return_type=list_rprimitive, c_function_name=str_split_functions[i], extra_int_constants=str_split_constants[i], error_kind=ERR_MAGIC, ) method_op( name="rsplit", arg_types=str_split_types[0 : i + 1], return_type=list_rprimitive, c_function_name=str_rsplit_functions[i], extra_int_constants=str_split_constants[i], error_kind=ERR_MAGIC, ) # str.splitlines(...) str_splitlines_types: list[RType] = [str_rprimitive, bool_rprimitive] str_splitlines_constants: list[list[tuple[int, RType]]] = [[(0, c_int_rprimitive)], []] for i in range(2): method_op( name="splitlines", arg_types=str_splitlines_types[0 : i + 1], return_type=list_rprimitive, c_function_name="PyUnicode_Splitlines", extra_int_constants=str_splitlines_constants[i], error_kind=ERR_NEVER, ) # str.partition(str) method_op( name="partition", arg_types=[str_rprimitive, str_rprimitive], return_type=tuple_rprimitive, c_function_name="PyUnicode_Partition", error_kind=ERR_MAGIC, ) # str.rpartition(str) method_op( name="rpartition", arg_types=[str_rprimitive, str_rprimitive], return_type=tuple_rprimitive, c_function_name="PyUnicode_RPartition", error_kind=ERR_MAGIC, ) # str.count(substring) method_op( name="count", arg_types=[str_rprimitive, str_rprimitive], return_type=c_pyssize_t_rprimitive, c_function_name="CPyStr_Count", error_kind=ERR_NEG_INT, extra_int_constants=[(0, c_pyssize_t_rprimitive)], ) # str.count(substring, start) method_op( name="count", arg_types=[str_rprimitive, str_rprimitive, int_rprimitive], return_type=c_pyssize_t_rprimitive, c_function_name="CPyStr_Count", error_kind=ERR_NEG_INT, ) # str.count(substring, start, end) method_op( name="count", arg_types=[str_rprimitive, str_rprimitive, int_rprimitive, int_rprimitive], return_type=c_pyssize_t_rprimitive, c_function_name="CPyStr_CountFull", error_kind=ERR_NEG_INT, ) # str.replace(old, new) method_op( name="replace", arg_types=[str_rprimitive, str_rprimitive, str_rprimitive], return_type=str_rprimitive, c_function_name="PyUnicode_Replace", error_kind=ERR_MAGIC, extra_int_constants=[(-1, c_int_rprimitive)], ) # str.replace(old, new, count) method_op( name="replace", arg_types=[str_rprimitive, str_rprimitive, str_rprimitive, int_rprimitive], return_type=str_rprimitive, c_function_name="CPyStr_Replace", error_kind=ERR_MAGIC, ) # check if a string is true (isn't an empty string) str_check_if_true = custom_op( arg_types=[str_rprimitive], return_type=bit_rprimitive, c_function_name="CPyStr_IsTrue", error_kind=ERR_NEVER, ) str_ssize_t_size_op = custom_op( arg_types=[str_rprimitive], return_type=c_pyssize_t_rprimitive, c_function_name="CPyStr_Size_size_t", error_kind=ERR_NEG_INT, ) # obj.decode() method_op( name="decode", arg_types=[bytes_rprimitive], return_type=str_rprimitive, c_function_name="CPy_Decode", error_kind=ERR_MAGIC, extra_int_constants=[(0, pointer_rprimitive), (0, pointer_rprimitive)], ) # obj.decode(encoding) method_op( name="decode", arg_types=[bytes_rprimitive, str_rprimitive], return_type=str_rprimitive, c_function_name="CPy_Decode", error_kind=ERR_MAGIC, extra_int_constants=[(0, pointer_rprimitive)], ) # bytes.decode(encoding, errors) method_op( name="decode", arg_types=[bytes_rprimitive, str_rprimitive, str_rprimitive], return_type=str_rprimitive, c_function_name="CPy_Decode", error_kind=ERR_MAGIC, ) # bytes.decode(encoding) - utf8 strict specialization bytes_decode_utf8_strict = custom_op( arg_types=[bytes_rprimitive], return_type=str_rprimitive, c_function_name="CPy_DecodeUTF8", error_kind=ERR_MAGIC, ) # bytes.decode(encoding) - ascii strict specialization bytes_decode_ascii_strict = custom_op( arg_types=[bytes_rprimitive], return_type=str_rprimitive, c_function_name="CPy_DecodeASCII", error_kind=ERR_MAGIC, ) # bytes.decode(encoding) - latin1 strict specialization bytes_decode_latin1_strict = custom_op( arg_types=[bytes_rprimitive], return_type=str_rprimitive, c_function_name="CPy_DecodeLatin1", error_kind=ERR_MAGIC, ) # str.encode() method_op( name="encode", arg_types=[str_rprimitive], return_type=bytes_rprimitive, c_function_name="CPy_Encode", error_kind=ERR_MAGIC, extra_int_constants=[(0, pointer_rprimitive), (0, pointer_rprimitive)], ) # str.encode(encoding) method_op( name="encode", arg_types=[str_rprimitive, str_rprimitive], return_type=bytes_rprimitive, c_function_name="CPy_Encode", error_kind=ERR_MAGIC, extra_int_constants=[(0, pointer_rprimitive)], ) # str.encode(encoding) - utf8 strict specialization str_encode_utf8_strict = custom_op( arg_types=[str_rprimitive], return_type=bytes_rprimitive, c_function_name="PyUnicode_AsUTF8String", error_kind=ERR_MAGIC, ) # str.encode(encoding) - ascii strict specialization str_encode_ascii_strict = custom_op( arg_types=[str_rprimitive], return_type=bytes_rprimitive, c_function_name="PyUnicode_AsASCIIString", error_kind=ERR_MAGIC, ) # str.encode(encoding) - latin1 strict specialization str_encode_latin1_strict = custom_op( arg_types=[str_rprimitive], return_type=bytes_rprimitive, c_function_name="PyUnicode_AsLatin1String", error_kind=ERR_MAGIC, ) # str.encode(encoding, errors) method_op( name="encode", arg_types=[str_rprimitive, str_rprimitive, str_rprimitive], return_type=bytes_rprimitive, c_function_name="CPy_Encode", error_kind=ERR_MAGIC, ) function_op( name="builtins.ord", arg_types=[str_rprimitive], return_type=int_rprimitive, c_function_name="CPyStr_Ord", error_kind=ERR_MAGIC, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/tuple_ops.py0000644000175100017510000000725015112307767020203 0ustar00runnerrunner"""Primitive tuple ops for *variable-length* tuples. Note: Varying-length tuples are represented as boxed Python tuple objects, i.e. tuple_rprimitive (RPrimitive), not RTuple. """ from __future__ import annotations from mypyc.ir.ops import ERR_MAGIC, ERR_NEVER from mypyc.ir.rtypes import ( bit_rprimitive, c_pyssize_t_rprimitive, int_rprimitive, list_rprimitive, object_rprimitive, tuple_rprimitive, void_rtype, ) from mypyc.primitives.registry import binary_op, custom_op, function_op, load_address_op, method_op # Get the 'builtins.tuple' type object. load_address_op(name="builtins.tuple", type=object_rprimitive, src="PyTuple_Type") # tuple[index] (for an int index) tuple_get_item_op = method_op( name="__getitem__", arg_types=[tuple_rprimitive, int_rprimitive], return_type=object_rprimitive, c_function_name="CPySequenceTuple_GetItem", error_kind=ERR_MAGIC, ) # This is unsafe because it assumes that the index is a non-negative integer # that is in-bounds for the tuple. tuple_get_item_unsafe_op = custom_op( arg_types=[tuple_rprimitive, c_pyssize_t_rprimitive], return_type=object_rprimitive, c_function_name="CPySequenceTuple_GetItemUnsafe", error_kind=ERR_NEVER, ) # Construct a boxed tuple from items: (item1, item2, ...) new_tuple_op = custom_op( arg_types=[c_pyssize_t_rprimitive], return_type=tuple_rprimitive, c_function_name="PyTuple_Pack", error_kind=ERR_MAGIC, var_arg_type=object_rprimitive, ) new_tuple_with_length_op = custom_op( arg_types=[c_pyssize_t_rprimitive], return_type=tuple_rprimitive, c_function_name="PyTuple_New", error_kind=ERR_MAGIC, ) load_empty_tuple_constant_op = custom_op( arg_types=[], return_type=tuple_rprimitive, c_function_name="CPyTuple_LoadEmptyTupleConstant", error_kind=ERR_NEVER, ) # PyTuple_SET_ITEM does no error checking, # and should only be used to fill in brand new tuples. new_tuple_set_item_op = custom_op( arg_types=[tuple_rprimitive, c_pyssize_t_rprimitive, object_rprimitive], return_type=void_rtype, c_function_name="CPySequenceTuple_SetItemUnsafe", error_kind=ERR_NEVER, steals=[False, False, True], ) # Construct tuple from a list. list_tuple_op = function_op( name="builtins.tuple", arg_types=[list_rprimitive], return_type=tuple_rprimitive, c_function_name="PyList_AsTuple", error_kind=ERR_MAGIC, priority=2, ) # Construct tuple from an arbitrary (iterable) object. sequence_tuple_op = function_op( name="builtins.tuple", arg_types=[object_rprimitive], return_type=tuple_rprimitive, c_function_name="PySequence_Tuple", error_kind=ERR_MAGIC, ) # translate isinstance(obj, tuple) isinstance_tuple = function_op( name="builtins.isinstance", arg_types=[object_rprimitive], return_type=bit_rprimitive, c_function_name="PyTuple_Check", error_kind=ERR_NEVER, ) # tuple + tuple binary_op( name="+", arg_types=[tuple_rprimitive, tuple_rprimitive], return_type=tuple_rprimitive, c_function_name="PySequence_Concat", error_kind=ERR_MAGIC, ) # tuple * int binary_op( name="*", arg_types=[tuple_rprimitive, int_rprimitive], return_type=tuple_rprimitive, c_function_name="CPySequence_Multiply", error_kind=ERR_MAGIC, ) # int * tuple binary_op( name="*", arg_types=[int_rprimitive, tuple_rprimitive], return_type=tuple_rprimitive, c_function_name="CPySequence_RMultiply", error_kind=ERR_MAGIC, ) # tuple[begin:end] tuple_slice_op = custom_op( arg_types=[tuple_rprimitive, int_rprimitive, int_rprimitive], return_type=object_rprimitive, c_function_name="CPySequenceTuple_GetSlice", error_kind=ERR_MAGIC, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/primitives/weakref_ops.py0000644000175100017510000000221015112307767020465 0ustar00runnerrunnerfrom mypyc.ir.ops import ERR_MAGIC from mypyc.ir.rtypes import object_rprimitive, pointer_rprimitive from mypyc.primitives.registry import function_op # Weakref operations new_ref_op = function_op( name="weakref.ReferenceType", arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="PyWeakref_NewRef", extra_int_constants=[(0, pointer_rprimitive)], error_kind=ERR_MAGIC, ) new_ref__with_callback_op = function_op( name="weakref.ReferenceType", arg_types=[object_rprimitive, object_rprimitive], return_type=object_rprimitive, c_function_name="PyWeakref_NewRef", error_kind=ERR_MAGIC, ) new_proxy_op = function_op( name="_weakref.proxy", arg_types=[object_rprimitive], return_type=object_rprimitive, c_function_name="PyWeakref_NewProxy", extra_int_constants=[(0, pointer_rprimitive)], error_kind=ERR_MAGIC, ) new_proxy_with_callback_op = function_op( name="_weakref.proxy", arg_types=[object_rprimitive, object_rprimitive], # steals=[True, False], return_type=object_rprimitive, c_function_name="PyWeakref_NewProxy", error_kind=ERR_MAGIC, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/py.typed0000644000175100017510000000000015112307767015105 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/rt_subtype.py0000644000175100017510000000462015112307767016174 0ustar00runnerrunner"""'Runtime subtype' check for RTypes. A type S is a runtime subtype of T if a value of type S can be used at runtime when a value of type T is expected without requiring any runtime conversions. For boxed types, runtime subtyping is the same as regular subtyping. Unboxed subtypes, on the other hand, are not runtime subtypes of object (since they require boxing to be used as an object), but short ints are runtime subtypes of int. Subtyping is used to determine whether an object can be in a particular place and runtime subtyping is used to determine whether a coercion is necessary first. """ from __future__ import annotations from mypyc.ir.rtypes import ( RArray, RInstance, RPrimitive, RStruct, RTuple, RType, RTypeVisitor, RUnion, RVoid, is_bit_rprimitive, is_bool_rprimitive, is_int_rprimitive, is_short_int_rprimitive, ) from mypyc.subtype import is_subtype def is_runtime_subtype(left: RType, right: RType) -> bool: return left.accept(RTSubtypeVisitor(right)) class RTSubtypeVisitor(RTypeVisitor[bool]): """Is left a runtime subtype of right? A few special cases such as right being 'object' are handled in is_runtime_subtype and don't need to be covered here. """ def __init__(self, right: RType) -> None: self.right = right def visit_rinstance(self, left: RInstance) -> bool: return is_subtype(left, self.right) def visit_runion(self, left: RUnion) -> bool: return not self.right.is_unboxed and is_subtype(left, self.right) def visit_rprimitive(self, left: RPrimitive) -> bool: if is_short_int_rprimitive(left) and is_int_rprimitive(self.right): return True if is_bit_rprimitive(left) and is_bool_rprimitive(self.right): return True return left is self.right def visit_rtuple(self, left: RTuple) -> bool: if isinstance(self.right, RTuple): return len(self.right.types) == len(left.types) and all( is_runtime_subtype(t1, t2) for t1, t2 in zip(left.types, self.right.types) ) return False def visit_rstruct(self, left: RStruct) -> bool: return isinstance(self.right, RStruct) and self.right.name == left.name def visit_rarray(self, left: RArray) -> bool: return left == self.right def visit_rvoid(self, left: RVoid) -> bool: return isinstance(self.right, RVoid) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/sametype.py0000644000175100017510000000464015112307767015625 0ustar00runnerrunner"""Same type check for RTypes.""" from __future__ import annotations from mypyc.ir.func_ir import FuncSignature from mypyc.ir.rtypes import ( RArray, RInstance, RPrimitive, RStruct, RTuple, RType, RTypeVisitor, RUnion, RVoid, ) def is_same_type(a: RType, b: RType) -> bool: return a.accept(SameTypeVisitor(b)) def is_same_signature(a: FuncSignature, b: FuncSignature) -> bool: return ( len(a.args) == len(b.args) and is_same_type(a.ret_type, b.ret_type) and all( is_same_type(t1.type, t2.type) and t1.name == t2.name for t1, t2 in zip(a.args, b.args) ) ) def is_same_method_signature(a: FuncSignature, b: FuncSignature) -> bool: return ( len(a.args) == len(b.args) and is_same_type(a.ret_type, b.ret_type) and all( is_same_type(t1.type, t2.type) and ((t1.pos_only and t2.pos_only) or t1.name == t2.name) and t1.optional == t2.optional for t1, t2 in zip(a.args[1:], b.args[1:]) ) ) class SameTypeVisitor(RTypeVisitor[bool]): def __init__(self, right: RType) -> None: self.right = right def visit_rinstance(self, left: RInstance) -> bool: return isinstance(self.right, RInstance) and left.name == self.right.name def visit_runion(self, left: RUnion) -> bool: if isinstance(self.right, RUnion): items = list(self.right.items) for left_item in left.items: for j, right_item in enumerate(items): if is_same_type(left_item, right_item): del items[j] break else: return False return not items return False def visit_rprimitive(self, left: RPrimitive) -> bool: return left is self.right def visit_rtuple(self, left: RTuple) -> bool: return ( isinstance(self.right, RTuple) and len(self.right.types) == len(left.types) and all(is_same_type(t1, t2) for t1, t2 in zip(left.types, self.right.types)) ) def visit_rstruct(self, left: RStruct) -> bool: return isinstance(self.right, RStruct) and self.right.name == left.name def visit_rarray(self, left: RArray) -> bool: return left == self.right def visit_rvoid(self, left: RVoid) -> bool: return isinstance(self.right, RVoid) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/subtype.py0000644000175100017510000000530515112307767015470 0ustar00runnerrunner"""Subtype check for RTypes.""" from __future__ import annotations from mypyc.ir.rtypes import ( RArray, RInstance, RPrimitive, RStruct, RTuple, RType, RTypeVisitor, RUnion, RVoid, is_bit_rprimitive, is_bool_rprimitive, is_fixed_width_rtype, is_int_rprimitive, is_object_rprimitive, is_short_int_rprimitive, is_tagged, is_tuple_rprimitive, ) def is_subtype(left: RType, right: RType) -> bool: if is_object_rprimitive(right): return True elif isinstance(right, RUnion): if isinstance(left, RUnion): for left_item in left.items: if not any(is_subtype(left_item, right_item) for right_item in right.items): return False return True else: return any(is_subtype(left, item) for item in right.items) return left.accept(SubtypeVisitor(right)) class SubtypeVisitor(RTypeVisitor[bool]): """Is left a subtype of right? A few special cases such as right being 'object' are handled in is_subtype and don't need to be covered here. """ def __init__(self, right: RType) -> None: self.right = right def visit_rinstance(self, left: RInstance) -> bool: return isinstance(self.right, RInstance) and self.right.class_ir in left.class_ir.mro def visit_runion(self, left: RUnion) -> bool: return all(is_subtype(item, self.right) for item in left.items) def visit_rprimitive(self, left: RPrimitive) -> bool: right = self.right if is_bool_rprimitive(left): if is_tagged(right) or is_fixed_width_rtype(right): return True elif is_bit_rprimitive(left): if is_bool_rprimitive(right) or is_tagged(right) or is_fixed_width_rtype(right): return True elif is_short_int_rprimitive(left): if is_int_rprimitive(right): return True elif is_fixed_width_rtype(left): if is_int_rprimitive(right): return True return left is right def visit_rtuple(self, left: RTuple) -> bool: if is_tuple_rprimitive(self.right): return True if isinstance(self.right, RTuple): return len(self.right.types) == len(left.types) and all( is_subtype(t1, t2) for t1, t2 in zip(left.types, self.right.types) ) return False def visit_rstruct(self, left: RStruct) -> bool: return isinstance(self.right, RStruct) and self.right.name == left.name def visit_rarray(self, left: RArray) -> bool: return left == self.right def visit_rvoid(self, left: RVoid) -> bool: return isinstance(self.right, RVoid) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6637661 mypy-1.19.0/mypyc/test/0000755000175100017510000000000015112310012014350 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/__init__.py0000644000175100017510000000000015112307767016476 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/config.py0000644000175100017510000000062615112307767016222 0ustar00runnerrunnerfrom __future__ import annotations import os provided_prefix = os.getenv("MYPY_TEST_PREFIX", None) if provided_prefix: PREFIX = provided_prefix else: this_file_dir = os.path.dirname(os.path.realpath(__file__)) PREFIX = os.path.dirname(os.path.dirname(this_file_dir)) # Location of test data files such as test case descriptions. test_data_prefix = os.path.join(PREFIX, "mypyc", "test-data") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_alwaysdefined.py0000644000175100017510000000277015112307767020635 0ustar00runnerrunner"""Test cases for inferring always defined attributes in classes.""" from __future__ import annotations import os.path from mypy.errors import CompileError from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, MypycDataSuite, assert_test_output, build_ir_for_single_file2, infer_ir_build_options_from_test_name, use_custom_builtins, ) files = ["alwaysdefined.test"] class TestAlwaysDefined(MypycDataSuite): files = files base_path = test_temp_dir def run_case(self, testcase: DataDrivenTestCase) -> None: """Perform a runtime checking transformation test case.""" options = infer_ir_build_options_from_test_name(testcase.name) if options is None: # Skipped test case return with use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase): try: ir = build_ir_for_single_file2(testcase.input, options)[0] except CompileError as e: actual = e.messages else: actual = [] for cl in ir.classes: if cl.name.startswith("_"): continue actual.append( "{}: [{}]".format(cl.name, ", ".join(sorted(cl._always_initialized_attrs))) ) assert_test_output(testcase, actual, "Invalid test output", testcase.output) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_analysis.py0000644000175100017510000000627315112307767017643 0ustar00runnerrunner"""Test runner for data-flow analysis test cases.""" from __future__ import annotations import os.path from mypy.errors import CompileError from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypyc.analysis import dataflow from mypyc.common import TOP_LEVEL_NAME from mypyc.ir.func_ir import all_values from mypyc.ir.ops import Value from mypyc.ir.pprint import format_func, generate_names_for_ir from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, MypycDataSuite, assert_test_output, build_ir_for_single_file, use_custom_builtins, ) from mypyc.transform import exceptions files = ["analysis.test"] class TestAnalysis(MypycDataSuite): files = files base_path = test_temp_dir optional_out = True def run_case(self, testcase: DataDrivenTestCase) -> None: """Perform a data-flow analysis test case.""" with use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase): try: ir = build_ir_for_single_file(testcase.input) except CompileError as e: actual = e.messages else: actual = [] for fn in ir: if fn.name == TOP_LEVEL_NAME and not testcase.name.endswith("_toplevel"): continue exceptions.insert_exception_handling(fn) actual.extend(format_func(fn)) cfg = dataflow.get_cfg(fn.blocks) args: set[Value] = set(fn.arg_regs) name = testcase.name if name.endswith("_MaybeDefined"): # Forward, maybe analysis_result = dataflow.analyze_maybe_defined_regs(fn.blocks, cfg, args) elif name.endswith("_Liveness"): # Backward, maybe analysis_result = dataflow.analyze_live_regs(fn.blocks, cfg) elif name.endswith("_MustDefined"): # Forward, must analysis_result = dataflow.analyze_must_defined_regs( fn.blocks, cfg, args, regs=all_values(fn.arg_regs, fn.blocks) ) elif name.endswith("_BorrowedArgument"): # Forward, must analysis_result = dataflow.analyze_borrowed_arguments(fn.blocks, cfg, args) else: assert False, "No recognized _AnalysisName suffix in test case" names = generate_names_for_ir(fn.arg_regs, fn.blocks) for key in sorted( analysis_result.before.keys(), key=lambda x: (x[0].label, x[1]) ): pre = ", ".join(sorted(names[reg] for reg in analysis_result.before[key])) post = ", ".join(sorted(names[reg] for reg in analysis_result.after[key])) actual.append( "%-8s %-23s %s" % ((key[0].label, key[1]), "{%s}" % pre, "{%s}" % post) ) assert_test_output(testcase, actual, "Invalid source code output") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_annotate.py0000644000175100017510000000505015112307767017621 0ustar00runnerrunner"""Test cases for annotating source code to highlight inefficiencies.""" from __future__ import annotations import os.path from mypy.errors import CompileError from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypyc.annotate import generate_annotations, get_max_prio from mypyc.ir.pprint import format_func from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, MypycDataSuite, assert_test_output, build_ir_for_single_file2, infer_ir_build_options_from_test_name, remove_comment_lines, use_custom_builtins, ) files = ["annotate-basic.test"] class TestReport(MypycDataSuite): files = files base_path = test_temp_dir optional_out = True def run_case(self, testcase: DataDrivenTestCase) -> None: """Perform a runtime checking transformation test case.""" options = infer_ir_build_options_from_test_name(testcase.name) if options is None: # Skipped test case return with use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase): expected_output = remove_comment_lines(testcase.output) # Parse "# A: " comments. for i, line in enumerate(testcase.input): if "# A:" in line: msg = line.rpartition("# A:")[2].strip() expected_output.append(f"main:{i + 1}: {msg}") ir = None try: ir, tree, type_map, mapper = build_ir_for_single_file2(testcase.input, options) except CompileError as e: actual = e.messages else: annotations = generate_annotations("native.py", tree, ir, type_map, mapper) actual = [] for line_num, line_anns in sorted( annotations.annotations.items(), key=lambda it: it[0] ): anns = get_max_prio(line_anns) str_anns = [a.message for a in anns] s = " ".join(str_anns) actual.append(f"main:{line_num}: {s}") try: assert_test_output(testcase, actual, "Invalid source code output", expected_output) except BaseException: if ir: print("Generated IR:\n") for fn in ir.functions: if fn.name == "__top_level__": continue for s in format_func(fn): print(s) raise ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_cheader.py0000644000175100017510000000300415112307767017400 0ustar00runnerrunner"""Test that C functions used in primitives are declared in a header such as CPy.h.""" from __future__ import annotations import glob import os import re import unittest from mypyc.primitives import registry class TestHeaderInclusion(unittest.TestCase): def test_primitives_included_in_header(self) -> None: base_dir = os.path.join(os.path.dirname(__file__), "..", "lib-rt") with open(os.path.join(base_dir, "CPy.h")) as f: header = f.read() with open(os.path.join(base_dir, "pythonsupport.h")) as f: header += f.read() def check_name(name: str) -> None: if name.startswith("CPy"): assert re.search( rf"\b{name}\b", header ), f'"{name}" is used in mypyc.primitives but not declared in CPy.h' for values in [ registry.method_call_ops.values(), registry.binary_ops.values(), registry.unary_ops.values(), registry.function_ops.values(), ]: for ops in values: for op in ops: if op.c_function_name is not None: check_name(op.c_function_name) primitives_path = os.path.join(os.path.dirname(__file__), "..", "primitives") for fnam in glob.glob(f"{primitives_path}/*.py"): with open(fnam) as f: content = f.read() for name in re.findall(r'c_function_name=["\'](CPy[A-Z_a-z0-9]+)', content): check_name(name) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_commandline.py0000644000175100017510000000540715112307767020304 0ustar00runnerrunner"""Test cases for invoking mypyc on the command line. These are slow -- do not add test cases unless you have a very good reason to do so. """ from __future__ import annotations import glob import os import os.path import re import subprocess import sys from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypy.test.helpers import normalize_error_messages from mypyc.test.testutil import MypycDataSuite, assert_test_output files = ["commandline.test"] base_path = os.path.join(os.path.dirname(__file__), "..", "..") python3_path = sys.executable class TestCommandLine(MypycDataSuite): files = files base_path = test_temp_dir optional_out = True def run_case(self, testcase: DataDrivenTestCase) -> None: # Parse options from test case description (arguments must not have spaces) text = "\n".join(testcase.input) m = re.search(r"# *cmd: *(.*)", text) assert m is not None, 'Test case missing "# cmd: " section' args = m.group(1).split() # Write main program to run (not compiled) program = "_%s.py" % testcase.name program_path = os.path.join(test_temp_dir, program) with open(program_path, "w") as f: f.write(text) env = os.environ.copy() env["PYTHONPATH"] = base_path out = b"" try: # Compile program cmd = subprocess.run( [sys.executable, "-m", "mypyc", *args], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, cwd="tmp", env=env, ) if "ErrorOutput" in testcase.name or cmd.returncode != 0: out += cmd.stdout elif "WarningOutput" in testcase.name: # Strip out setuptools build related output since we're only # interested in the messages emitted during compilation. messages, _, _ = cmd.stdout.partition(b"running build_ext") out += messages if cmd.returncode == 0: # Run main program out += subprocess.check_output([python3_path, program], cwd="tmp") finally: suffix = "pyd" if sys.platform == "win32" else "so" so_paths = glob.glob(f"tmp/**/*.{suffix}", recursive=True) for path in so_paths: os.remove(path) # Strip out 'tmp/' from error message paths in the testcase output, # due to a mismatch between this test and mypy's test suite. expected = [x.replace("tmp/", "") for x in testcase.output] # Verify output actual = normalize_error_messages(out.decode().splitlines()) assert_test_output(testcase, actual, "Invalid output", expected=expected) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_emit.py0000644000175100017510000001467115112307767016757 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypyc.codegen.emit import Emitter, EmitterContext from mypyc.common import HAVE_IMMORTAL from mypyc.ir.class_ir import ClassIR from mypyc.ir.ops import BasicBlock, Register, Value from mypyc.ir.rtypes import ( RInstance, RTuple, RUnion, bool_rprimitive, int_rprimitive, list_rprimitive, none_rprimitive, object_rprimitive, str_rprimitive, ) from mypyc.irbuild.vtable import compute_vtable from mypyc.namegen import NameGenerator class TestEmitter(unittest.TestCase): def setUp(self) -> None: self.n = Register(int_rprimitive, "n") self.context = EmitterContext(NameGenerator([["mod"]])) self.emitter = Emitter(self.context, {}) ir = ClassIR("A", "mod") compute_vtable(ir) ir.mro = [ir] self.instance_a = RInstance(ir) def test_label(self) -> None: assert self.emitter.label(BasicBlock(4)) == "CPyL4" def test_reg(self) -> None: names: dict[Value, str] = {self.n: "n"} emitter = Emitter(self.context, names) assert emitter.reg(self.n) == "cpy_r_n" def test_object_annotation(self) -> None: assert self.emitter.object_annotation("hello, world", "line;") == " /* 'hello, world' */" assert ( self.emitter.object_annotation(list(range(30)), "line;") == """\ /* [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29] */""" ) def test_emit_line(self) -> None: emitter = self.emitter emitter.emit_line("line;") emitter.emit_line("a {") emitter.emit_line("f();") emitter.emit_line("}") assert emitter.fragments == ["line;\n", "a {\n", " f();\n", "}\n"] emitter = Emitter(self.context, {}) emitter.emit_line("CPyStatics[0];", ann="hello, world") emitter.emit_line("CPyStatics[1];", ann=list(range(30))) assert emitter.fragments[0] == "CPyStatics[0]; /* 'hello, world' */\n" assert ( emitter.fragments[1] == """\ CPyStatics[1]; /* [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29] */\n""" ) def test_emit_undefined_value_for_simple_type(self) -> None: emitter = self.emitter assert emitter.c_undefined_value(int_rprimitive) == "CPY_INT_TAG" assert emitter.c_undefined_value(str_rprimitive) == "NULL" assert emitter.c_undefined_value(bool_rprimitive) == "2" def test_emit_undefined_value_for_tuple(self) -> None: emitter = self.emitter assert ( emitter.c_undefined_value(RTuple([str_rprimitive, int_rprimitive, bool_rprimitive])) == "(tuple_T3OIC) { NULL, CPY_INT_TAG, 2 }" ) assert emitter.c_undefined_value(RTuple([str_rprimitive])) == "(tuple_T1O) { NULL }" assert ( emitter.c_undefined_value(RTuple([RTuple([str_rprimitive]), bool_rprimitive])) == "(tuple_T2T1OC) { { NULL }, 2 }" ) def test_emit_inc_ref_object(self) -> None: self.emitter.emit_inc_ref("x", object_rprimitive) self.assert_output("CPy_INCREF(x);\n") def test_emit_inc_ref_int(self) -> None: self.emitter.emit_inc_ref("x", int_rprimitive) self.assert_output("CPyTagged_INCREF(x);\n") def test_emit_inc_ref_rare(self) -> None: self.emitter.emit_inc_ref("x", object_rprimitive, rare=True) self.assert_output("CPy_INCREF(x);\n") self.emitter.emit_inc_ref("x", int_rprimitive, rare=True) self.assert_output("CPyTagged_IncRef(x);\n") def test_emit_inc_ref_list(self) -> None: self.emitter.emit_inc_ref("x", list_rprimitive) if HAVE_IMMORTAL: self.assert_output("CPy_INCREF_NO_IMM(x);\n") else: self.assert_output("CPy_INCREF(x);\n") def test_emit_inc_ref_instance(self) -> None: self.emitter.emit_inc_ref("x", self.instance_a) if HAVE_IMMORTAL: self.assert_output("CPy_INCREF_NO_IMM(x);\n") else: self.assert_output("CPy_INCREF(x);\n") def test_emit_inc_ref_optional(self) -> None: optional = RUnion([self.instance_a, none_rprimitive]) self.emitter.emit_inc_ref("o", optional) self.assert_output("CPy_INCREF(o);\n") def test_emit_dec_ref_object(self) -> None: self.emitter.emit_dec_ref("x", object_rprimitive) self.assert_output("CPy_DECREF(x);\n") self.emitter.emit_dec_ref("x", object_rprimitive, is_xdec=True) self.assert_output("CPy_XDECREF(x);\n") def test_emit_dec_ref_int(self) -> None: self.emitter.emit_dec_ref("x", int_rprimitive) self.assert_output("CPyTagged_DECREF(x);\n") self.emitter.emit_dec_ref("x", int_rprimitive, is_xdec=True) self.assert_output("CPyTagged_XDECREF(x);\n") def test_emit_dec_ref_rare(self) -> None: self.emitter.emit_dec_ref("x", object_rprimitive, rare=True) self.assert_output("CPy_DecRef(x);\n") self.emitter.emit_dec_ref("x", int_rprimitive, rare=True) self.assert_output("CPyTagged_DecRef(x);\n") def test_emit_dec_ref_list(self) -> None: self.emitter.emit_dec_ref("x", list_rprimitive) if HAVE_IMMORTAL: self.assert_output("CPy_DECREF_NO_IMM(x);\n") else: self.assert_output("CPy_DECREF(x);\n") self.emitter.emit_dec_ref("x", list_rprimitive, is_xdec=True) if HAVE_IMMORTAL: self.assert_output("CPy_XDECREF_NO_IMM(x);\n") else: self.assert_output("CPy_XDECREF(x);\n") def test_emit_dec_ref_instance(self) -> None: self.emitter.emit_dec_ref("x", self.instance_a) if HAVE_IMMORTAL: self.assert_output("CPy_DECREF_NO_IMM(x);\n") else: self.assert_output("CPy_DECREF(x);\n") self.emitter.emit_dec_ref("x", self.instance_a, is_xdec=True) if HAVE_IMMORTAL: self.assert_output("CPy_XDECREF_NO_IMM(x);\n") else: self.assert_output("CPy_XDECREF(x);\n") def test_emit_dec_ref_optional(self) -> None: optional = RUnion([self.instance_a, none_rprimitive]) self.emitter.emit_dec_ref("o", optional) self.assert_output("CPy_DECREF(o);\n") def assert_output(self, expected: str) -> None: assert "".join(self.emitter.fragments) == expected self.emitter.fragments = [] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_emitclass.py0000644000175100017510000000231415112307767017774 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypyc.codegen.emitclass import getter_name, setter_name, slot_key from mypyc.ir.class_ir import ClassIR from mypyc.namegen import NameGenerator class TestEmitClass(unittest.TestCase): def test_slot_key(self) -> None: attrs = ["__add__", "__radd__", "__rshift__", "__rrshift__", "__setitem__", "__delitem__"] s = sorted(attrs, key=lambda x: slot_key(x)) # __delitem__ and reverse methods should come last. assert s == [ "__add__", "__rshift__", "__setitem__", "__delitem__", "__radd__", "__rrshift__", ] def test_setter_name(self) -> None: cls = ClassIR(module_name="testing", name="SomeClass") generator = NameGenerator([["mod"]]) # This should never be `setup`, as it will conflict with the class `setup` assert setter_name(cls, "up", generator) == "testing___SomeClass_set_up" def test_getter_name(self) -> None: cls = ClassIR(module_name="testing", name="SomeClass") generator = NameGenerator([["mod"]]) assert getter_name(cls, "down", generator) == "testing___SomeClass_get_down" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_emitfunc.py0000644000175100017510000010651415112307767017631 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypy.test.helpers import assert_string_arrays_equal from mypyc.codegen.emit import Emitter, EmitterContext from mypyc.codegen.emitfunc import FunctionEmitterVisitor, generate_native_function from mypyc.common import HAVE_IMMORTAL, PLATFORM_SIZE from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncDecl, FuncIR, FuncSignature, RuntimeArg from mypyc.ir.ops import ( ERR_NEVER, Assign, AssignMulti, BasicBlock, Box, Branch, Call, CallC, Cast, ComparisonOp, CString, DecRef, Extend, GetAttr, GetElementPtr, Goto, IncRef, Integer, IntOp, LoadAddress, LoadLiteral, LoadMem, Op, Register, Return, SetAttr, SetElement, SetMem, TupleGet, Unbox, Undef, Unreachable, Value, ) from mypyc.ir.pprint import generate_names_for_ir from mypyc.ir.rtypes import ( RArray, RInstance, RStruct, RTuple, RType, bool_rprimitive, c_int_rprimitive, cstring_rprimitive, dict_rprimitive, int32_rprimitive, int64_rprimitive, int_rprimitive, list_rprimitive, none_rprimitive, object_rprimitive, pointer_rprimitive, short_int_rprimitive, ) from mypyc.irbuild.vtable import compute_vtable from mypyc.namegen import NameGenerator from mypyc.primitives.dict_ops import ( dict_get_item_op, dict_new_op, dict_set_item_op, dict_update_op, ) from mypyc.primitives.int_ops import int_neg_op from mypyc.primitives.list_ops import list_append_op, list_get_item_op, list_set_item_op from mypyc.primitives.misc_ops import none_object_op from mypyc.primitives.registry import binary_ops from mypyc.subtype import is_subtype class TestFunctionEmitterVisitor(unittest.TestCase): """Test generation of fragments of C from individual IR ops.""" def setUp(self) -> None: self.registers: list[Register] = [] def add_local(name: str, rtype: RType) -> Register: reg = Register(rtype, name) self.registers.append(reg) return reg self.n = add_local("n", int_rprimitive) self.m = add_local("m", int_rprimitive) self.k = add_local("k", int_rprimitive) self.l = add_local("l", list_rprimitive) self.ll = add_local("ll", list_rprimitive) self.o = add_local("o", object_rprimitive) self.o2 = add_local("o2", object_rprimitive) self.d = add_local("d", dict_rprimitive) self.b = add_local("b", bool_rprimitive) self.s1 = add_local("s1", short_int_rprimitive) self.s2 = add_local("s2", short_int_rprimitive) self.i32 = add_local("i32", int32_rprimitive) self.i32_1 = add_local("i32_1", int32_rprimitive) self.i64 = add_local("i64", int64_rprimitive) self.i64_1 = add_local("i64_1", int64_rprimitive) self.ptr = add_local("ptr", pointer_rprimitive) self.t = add_local("t", RTuple([int_rprimitive, bool_rprimitive])) self.tt = add_local( "tt", RTuple([RTuple([int_rprimitive, bool_rprimitive]), bool_rprimitive]) ) ir = ClassIR("A", "mod") ir.attributes = { "x": bool_rprimitive, "y": int_rprimitive, "i1": int64_rprimitive, "i2": int32_rprimitive, "t": RTuple([object_rprimitive, object_rprimitive]), } ir.bitmap_attrs = ["i1", "i2"] compute_vtable(ir) ir.mro = [ir] self.r = add_local("r", RInstance(ir)) self.none = add_local("none", none_rprimitive) self.struct_type = RStruct( "Foo", ["b", "x", "y"], [bool_rprimitive, int32_rprimitive, int64_rprimitive] ) self.st = add_local("st", self.struct_type) self.context = EmitterContext(NameGenerator([["mod"]])) def test_goto(self) -> None: self.assert_emit(Goto(BasicBlock(2)), "goto CPyL2;") def test_goto_next_block(self) -> None: next_block = BasicBlock(2) self.assert_emit(Goto(next_block), "", next_block=next_block) def test_return(self) -> None: self.assert_emit(Return(self.m), "return cpy_r_m;") def test_integer(self) -> None: self.assert_emit(Assign(self.n, Integer(5)), "cpy_r_n = 10;") self.assert_emit(Assign(self.i32, Integer(5, c_int_rprimitive)), "cpy_r_i32 = 5;") def test_tuple_get(self) -> None: self.assert_emit(TupleGet(self.t, 1, 0), "cpy_r_r0 = cpy_r_t.f1;") def test_load_None(self) -> None: # noqa: N802 self.assert_emit( LoadAddress(none_object_op.type, none_object_op.src, 0), "cpy_r_r0 = (PyObject *)&_Py_NoneStruct;", ) def test_assign_int(self) -> None: self.assert_emit(Assign(self.m, self.n), "cpy_r_m = cpy_r_n;") def test_int_add(self) -> None: self.assert_emit_binary_op( "+", self.n, self.m, self.k, "cpy_r_r0 = CPyTagged_Add(cpy_r_m, cpy_r_k);" ) def test_int_sub(self) -> None: self.assert_emit_binary_op( "-", self.n, self.m, self.k, "cpy_r_r0 = CPyTagged_Subtract(cpy_r_m, cpy_r_k);" ) def test_int_neg(self) -> None: assert int_neg_op.c_function_name is not None self.assert_emit( CallC( int_neg_op.c_function_name, [self.m], int_neg_op.return_type, int_neg_op.steals, int_neg_op.is_borrowed, int_neg_op.is_borrowed, int_neg_op.error_kind, 55, ), "cpy_r_r0 = CPyTagged_Negate(cpy_r_m);", ) def test_branch(self) -> None: self.assert_emit( Branch(self.b, BasicBlock(8), BasicBlock(9), Branch.BOOL), """if (cpy_r_b) { goto CPyL8; } else goto CPyL9; """, ) b = Branch(self.b, BasicBlock(8), BasicBlock(9), Branch.BOOL) b.negated = True self.assert_emit( b, """if (!cpy_r_b) { goto CPyL8; } else goto CPyL9; """, ) def test_branch_no_else(self) -> None: next_block = BasicBlock(9) b = Branch(self.b, BasicBlock(8), next_block, Branch.BOOL) self.assert_emit(b, """if (cpy_r_b) goto CPyL8;""", next_block=next_block) next_block = BasicBlock(9) b = Branch(self.b, BasicBlock(8), next_block, Branch.BOOL) b.negated = True self.assert_emit(b, """if (!cpy_r_b) goto CPyL8;""", next_block=next_block) def test_branch_no_else_negated(self) -> None: next_block = BasicBlock(1) b = Branch(self.b, next_block, BasicBlock(2), Branch.BOOL) self.assert_emit(b, """if (!cpy_r_b) goto CPyL2;""", next_block=next_block) next_block = BasicBlock(1) b = Branch(self.b, next_block, BasicBlock(2), Branch.BOOL) b.negated = True self.assert_emit(b, """if (cpy_r_b) goto CPyL2;""", next_block=next_block) def test_branch_is_error(self) -> None: b = Branch(self.b, BasicBlock(8), BasicBlock(9), Branch.IS_ERROR) self.assert_emit( b, """if (cpy_r_b == 2) { goto CPyL8; } else goto CPyL9; """, ) b = Branch(self.b, BasicBlock(8), BasicBlock(9), Branch.IS_ERROR) b.negated = True self.assert_emit( b, """if (cpy_r_b != 2) { goto CPyL8; } else goto CPyL9; """, ) def test_branch_is_error_next_block(self) -> None: next_block = BasicBlock(8) b = Branch(self.b, next_block, BasicBlock(9), Branch.IS_ERROR) self.assert_emit(b, """if (cpy_r_b != 2) goto CPyL9;""", next_block=next_block) b = Branch(self.b, next_block, BasicBlock(9), Branch.IS_ERROR) b.negated = True self.assert_emit(b, """if (cpy_r_b == 2) goto CPyL9;""", next_block=next_block) def test_branch_rare(self) -> None: self.assert_emit( Branch(self.b, BasicBlock(8), BasicBlock(9), Branch.BOOL, rare=True), """if (unlikely(cpy_r_b)) { goto CPyL8; } else goto CPyL9; """, ) next_block = BasicBlock(9) self.assert_emit( Branch(self.b, BasicBlock(8), next_block, Branch.BOOL, rare=True), """if (unlikely(cpy_r_b)) goto CPyL8;""", next_block=next_block, ) next_block = BasicBlock(8) b = Branch(self.b, next_block, BasicBlock(9), Branch.BOOL, rare=True) self.assert_emit(b, """if (likely(!cpy_r_b)) goto CPyL9;""", next_block=next_block) next_block = BasicBlock(8) b = Branch(self.b, next_block, BasicBlock(9), Branch.BOOL, rare=True) b.negated = True self.assert_emit(b, """if (likely(cpy_r_b)) goto CPyL9;""", next_block=next_block) def test_call(self) -> None: decl = FuncDecl( "myfn", None, "mod", FuncSignature([RuntimeArg("m", int_rprimitive)], int_rprimitive) ) self.assert_emit(Call(decl, [self.m], 55), "cpy_r_r0 = CPyDef_myfn(cpy_r_m);") def test_call_two_args(self) -> None: decl = FuncDecl( "myfn", None, "mod", FuncSignature( [RuntimeArg("m", int_rprimitive), RuntimeArg("n", int_rprimitive)], int_rprimitive ), ) self.assert_emit( Call(decl, [self.m, self.k], 55), "cpy_r_r0 = CPyDef_myfn(cpy_r_m, cpy_r_k);" ) def test_inc_ref(self) -> None: self.assert_emit(IncRef(self.o), "CPy_INCREF(cpy_r_o);") self.assert_emit(IncRef(self.o), "CPy_INCREF(cpy_r_o);", rare=True) def test_dec_ref(self) -> None: self.assert_emit(DecRef(self.o), "CPy_DECREF(cpy_r_o);") self.assert_emit(DecRef(self.o), "CPy_DecRef(cpy_r_o);", rare=True) def test_inc_ref_int(self) -> None: self.assert_emit(IncRef(self.m), "CPyTagged_INCREF(cpy_r_m);") self.assert_emit(IncRef(self.m), "CPyTagged_IncRef(cpy_r_m);", rare=True) def test_dec_ref_int(self) -> None: self.assert_emit(DecRef(self.m), "CPyTagged_DECREF(cpy_r_m);") self.assert_emit(DecRef(self.m), "CPyTagged_DecRef(cpy_r_m);", rare=True) def test_dec_ref_tuple(self) -> None: self.assert_emit(DecRef(self.t), "CPyTagged_DECREF(cpy_r_t.f0);") def test_dec_ref_tuple_nested(self) -> None: self.assert_emit(DecRef(self.tt), "CPyTagged_DECREF(cpy_r_tt.f0.f0);") def test_list_get_item(self) -> None: self.assert_emit( CallC( str(list_get_item_op.c_function_name), [self.m, self.k], list_get_item_op.return_type, list_get_item_op.steals, list_get_item_op.is_borrowed, list_get_item_op.error_kind, 55, ), """cpy_r_r0 = CPyList_GetItem(cpy_r_m, cpy_r_k);""", ) def test_list_set_item(self) -> None: self.assert_emit( CallC( str(list_set_item_op.c_function_name), [self.l, self.n, self.o], list_set_item_op.return_type, list_set_item_op.steals, list_set_item_op.is_borrowed, list_set_item_op.error_kind, 55, ), """cpy_r_r0 = CPyList_SetItem(cpy_r_l, cpy_r_n, cpy_r_o);""", ) def test_box_int(self) -> None: self.assert_emit(Box(self.n), """cpy_r_r0 = CPyTagged_StealAsObject(cpy_r_n);""") def test_unbox_int(self) -> None: self.assert_emit( Unbox(self.m, int_rprimitive, 55), """if (likely(PyLong_Check(cpy_r_m))) cpy_r_r0 = CPyTagged_FromObject(cpy_r_m); else { CPy_TypeError("int", cpy_r_m); cpy_r_r0 = CPY_INT_TAG; } """, ) def test_box_i64(self) -> None: self.assert_emit(Box(self.i64), """cpy_r_r0 = PyLong_FromLongLong(cpy_r_i64);""") def test_unbox_i64(self) -> None: self.assert_emit( Unbox(self.o, int64_rprimitive, 55), """cpy_r_r0 = CPyLong_AsInt64(cpy_r_o);""" ) def test_list_append(self) -> None: self.assert_emit( CallC( str(list_append_op.c_function_name), [self.l, self.o], list_append_op.return_type, list_append_op.steals, list_append_op.is_borrowed, list_append_op.error_kind, 1, ), """cpy_r_r0 = PyList_Append(cpy_r_l, cpy_r_o);""", ) def test_get_attr(self) -> None: self.assert_emit( GetAttr(self.r, "y", 1), """cpy_r_r0 = ((mod___AObject *)cpy_r_r)->_y; if (unlikely(cpy_r_r0 == CPY_INT_TAG)) { PyErr_SetString(PyExc_AttributeError, "attribute 'y' of 'A' undefined"); } else { CPyTagged_INCREF(cpy_r_r0); } """, ) def test_get_attr_non_refcounted(self) -> None: self.assert_emit( GetAttr(self.r, "x", 1), """cpy_r_r0 = ((mod___AObject *)cpy_r_r)->_x; if (unlikely(cpy_r_r0 == 2)) { PyErr_SetString(PyExc_AttributeError, "attribute 'x' of 'A' undefined"); } """, ) def test_get_attr_merged(self) -> None: op = GetAttr(self.r, "y", 1) branch = Branch(op, BasicBlock(8), BasicBlock(9), Branch.IS_ERROR) branch.traceback_entry = ("foobar", 123) self.assert_emit( op, """\ cpy_r_r0 = ((mod___AObject *)cpy_r_r)->_y; if (unlikely(cpy_r_r0 == CPY_INT_TAG)) { CPy_AttributeError("prog.py", "foobar", "A", "y", 123, CPyStatic_prog___globals); goto CPyL8; } CPyTagged_INCREF(cpy_r_r0); goto CPyL9; """, next_branch=branch, skip_next=True, ) def test_get_attr_with_bitmap(self) -> None: self.assert_emit( GetAttr(self.r, "i1", 1), """cpy_r_r0 = ((mod___AObject *)cpy_r_r)->_i1; if (unlikely(cpy_r_r0 == -113) && !(((mod___AObject *)cpy_r_r)->bitmap & 1)) { PyErr_SetString(PyExc_AttributeError, "attribute 'i1' of 'A' undefined"); } """, ) def test_get_attr_nullable_with_tuple(self) -> None: self.assert_emit( GetAttr(self.r, "t", 1, allow_error_value=True), """cpy_r_r0 = ((mod___AObject *)cpy_r_r)->_t; if (cpy_r_r0.f0 != NULL) { CPy_INCREF(cpy_r_r0.f0); CPy_INCREF(cpy_r_r0.f1); } """, ) def test_set_attr(self) -> None: self.assert_emit( SetAttr(self.r, "y", self.m, 1), """if (((mod___AObject *)cpy_r_r)->_y != CPY_INT_TAG) { CPyTagged_DECREF(((mod___AObject *)cpy_r_r)->_y); } ((mod___AObject *)cpy_r_r)->_y = cpy_r_m; cpy_r_r0 = 1; """, ) def test_set_attr_non_refcounted(self) -> None: self.assert_emit( SetAttr(self.r, "x", self.b, 1), """((mod___AObject *)cpy_r_r)->_x = cpy_r_b; cpy_r_r0 = 1; """, ) def test_set_attr_no_error(self) -> None: op = SetAttr(self.r, "y", self.m, 1) op.error_kind = ERR_NEVER self.assert_emit( op, """if (((mod___AObject *)cpy_r_r)->_y != CPY_INT_TAG) { CPyTagged_DECREF(((mod___AObject *)cpy_r_r)->_y); } ((mod___AObject *)cpy_r_r)->_y = cpy_r_m; """, ) def test_set_attr_non_refcounted_no_error(self) -> None: op = SetAttr(self.r, "x", self.b, 1) op.error_kind = ERR_NEVER self.assert_emit( op, """((mod___AObject *)cpy_r_r)->_x = cpy_r_b; """, ) def test_set_attr_with_bitmap(self) -> None: # For some rtypes the error value overlaps a valid value, so we need # to use a separate bitmap to track defined attributes. self.assert_emit( SetAttr(self.r, "i1", self.i64, 1), """if (unlikely(cpy_r_i64 == -113)) { ((mod___AObject *)cpy_r_r)->bitmap |= 1; } ((mod___AObject *)cpy_r_r)->_i1 = cpy_r_i64; cpy_r_r0 = 1; """, ) self.assert_emit( SetAttr(self.r, "i2", self.i32, 1), """if (unlikely(cpy_r_i32 == -113)) { ((mod___AObject *)cpy_r_r)->bitmap |= 2; } ((mod___AObject *)cpy_r_r)->_i2 = cpy_r_i32; cpy_r_r0 = 1; """, ) def test_set_attr_init_with_bitmap(self) -> None: op = SetAttr(self.r, "i1", self.i64, 1) op.is_init = True self.assert_emit( op, """if (unlikely(cpy_r_i64 == -113)) { ((mod___AObject *)cpy_r_r)->bitmap |= 1; } ((mod___AObject *)cpy_r_r)->_i1 = cpy_r_i64; cpy_r_r0 = 1; """, ) def test_dict_get_item(self) -> None: self.assert_emit( CallC( str(dict_get_item_op.c_function_name), [self.d, self.o2], dict_get_item_op.return_type, dict_get_item_op.steals, dict_get_item_op.is_borrowed, dict_get_item_op.error_kind, 1, ), """cpy_r_r0 = CPyDict_GetItem(cpy_r_d, cpy_r_o2);""", ) def test_dict_set_item(self) -> None: self.assert_emit( CallC( str(dict_set_item_op.c_function_name), [self.d, self.o, self.o2], dict_set_item_op.return_type, dict_set_item_op.steals, dict_set_item_op.is_borrowed, dict_set_item_op.error_kind, 1, ), """cpy_r_r0 = CPyDict_SetItem(cpy_r_d, cpy_r_o, cpy_r_o2);""", ) def test_dict_update(self) -> None: self.assert_emit( CallC( str(dict_update_op.c_function_name), [self.d, self.o], dict_update_op.return_type, dict_update_op.steals, dict_update_op.is_borrowed, dict_update_op.error_kind, 1, ), """cpy_r_r0 = CPyDict_Update(cpy_r_d, cpy_r_o);""", ) def test_new_dict(self) -> None: self.assert_emit( CallC( dict_new_op.c_function_name, [], dict_new_op.return_type, dict_new_op.steals, dict_new_op.is_borrowed, dict_new_op.error_kind, 1, ), """cpy_r_r0 = PyDict_New();""", ) def test_dict_contains(self) -> None: self.assert_emit_binary_op( "in", self.b, self.o, self.d, """cpy_r_r0 = PyDict_Contains(cpy_r_d, cpy_r_o);""" ) def test_int_op(self) -> None: self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.ADD, 1), """cpy_r_r0 = cpy_r_s1 + cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.SUB, 1), """cpy_r_r0 = cpy_r_s1 - cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.MUL, 1), """cpy_r_r0 = cpy_r_s1 * cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.DIV, 1), """cpy_r_r0 = cpy_r_s1 / cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.MOD, 1), """cpy_r_r0 = cpy_r_s1 % cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.AND, 1), """cpy_r_r0 = cpy_r_s1 & cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.OR, 1), """cpy_r_r0 = cpy_r_s1 | cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.XOR, 1), """cpy_r_r0 = cpy_r_s1 ^ cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.LEFT_SHIFT, 1), """cpy_r_r0 = cpy_r_s1 << cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.s1, self.s2, IntOp.RIGHT_SHIFT, 1), """cpy_r_r0 = (Py_ssize_t)cpy_r_s1 >> (Py_ssize_t)cpy_r_s2;""", ) self.assert_emit( IntOp(short_int_rprimitive, self.i64, self.i64_1, IntOp.RIGHT_SHIFT, 1), """cpy_r_r0 = cpy_r_i64 >> cpy_r_i64_1;""", ) def test_comparison_op(self) -> None: # signed self.assert_emit( ComparisonOp(self.s1, self.s2, ComparisonOp.SLT, 1), """cpy_r_r0 = (Py_ssize_t)cpy_r_s1 < (Py_ssize_t)cpy_r_s2;""", ) self.assert_emit( ComparisonOp(self.i32, self.i32_1, ComparisonOp.SLT, 1), """cpy_r_r0 = cpy_r_i32 < cpy_r_i32_1;""", ) self.assert_emit( ComparisonOp(self.i64, self.i64_1, ComparisonOp.SLT, 1), """cpy_r_r0 = cpy_r_i64 < cpy_r_i64_1;""", ) # unsigned self.assert_emit( ComparisonOp(self.s1, self.s2, ComparisonOp.ULT, 1), """cpy_r_r0 = cpy_r_s1 < cpy_r_s2;""", ) self.assert_emit( ComparisonOp(self.i32, self.i32_1, ComparisonOp.ULT, 1), """cpy_r_r0 = (uint32_t)cpy_r_i32 < (uint32_t)cpy_r_i32_1;""", ) self.assert_emit( ComparisonOp(self.i64, self.i64_1, ComparisonOp.ULT, 1), """cpy_r_r0 = (uint64_t)cpy_r_i64 < (uint64_t)cpy_r_i64_1;""", ) # object type self.assert_emit( ComparisonOp(self.o, self.o2, ComparisonOp.EQ, 1), """cpy_r_r0 = cpy_r_o == cpy_r_o2;""", ) self.assert_emit( ComparisonOp(self.o, self.o2, ComparisonOp.NEQ, 1), """cpy_r_r0 = cpy_r_o != cpy_r_o2;""", ) def test_load_mem(self) -> None: self.assert_emit(LoadMem(bool_rprimitive, self.ptr), """cpy_r_r0 = *(char *)cpy_r_ptr;""") def test_set_mem(self) -> None: self.assert_emit( SetMem(bool_rprimitive, self.ptr, self.b), """*(char *)cpy_r_ptr = cpy_r_b;""" ) def test_get_element_ptr(self) -> None: r = RStruct( "Foo", ["b", "i32", "i64"], [bool_rprimitive, int32_rprimitive, int64_rprimitive] ) self.assert_emit( GetElementPtr(self.o, r, "b"), """cpy_r_r0 = (CPyPtr)&((Foo *)cpy_r_o)->b;""" ) self.assert_emit( GetElementPtr(self.o, r, "i32"), """cpy_r_r0 = (CPyPtr)&((Foo *)cpy_r_o)->i32;""" ) self.assert_emit( GetElementPtr(self.o, r, "i64"), """cpy_r_r0 = (CPyPtr)&((Foo *)cpy_r_o)->i64;""" ) def test_set_element(self) -> None: # Use compact syntax when setting the initial element of an undefined value self.assert_emit( SetElement(Undef(self.struct_type), "b", self.b), """cpy_r_r0.b = cpy_r_b;""" ) # We propagate the unchanged values in subsequent assignments self.assert_emit( SetElement(self.st, "x", self.i32), """cpy_r_r0 = (Foo) { cpy_r_st.b, cpy_r_i32, cpy_r_st.y };""", ) def test_load_address(self) -> None: self.assert_emit( LoadAddress(object_rprimitive, "PyDict_Type"), """cpy_r_r0 = (PyObject *)&PyDict_Type;""", ) def test_assign_multi(self) -> None: t = RArray(object_rprimitive, 2) a = Register(t, "a") self.registers.append(a) self.assert_emit( AssignMulti(a, [self.o, self.o2]), """PyObject *cpy_r_a[2] = {cpy_r_o, cpy_r_o2};""" ) def test_long_unsigned(self) -> None: a = Register(int64_rprimitive, "a") self.assert_emit( Assign(a, Integer(1 << 31, int64_rprimitive)), """cpy_r_a = 2147483648LL;""" ) self.assert_emit( Assign(a, Integer((1 << 31) - 1, int64_rprimitive)), """cpy_r_a = 2147483647;""" ) def test_long_signed(self) -> None: a = Register(int64_rprimitive, "a") self.assert_emit( Assign(a, Integer(-(1 << 31) + 1, int64_rprimitive)), """cpy_r_a = -2147483647;""" ) self.assert_emit( Assign(a, Integer(-(1 << 31), int64_rprimitive)), """cpy_r_a = -2147483648LL;""" ) def test_cast_and_branch_merge(self) -> None: op = Cast(self.r, dict_rprimitive, 1) next_block = BasicBlock(9) branch = Branch(op, BasicBlock(8), next_block, Branch.IS_ERROR) branch.traceback_entry = ("foobar", 123) self.assert_emit( op, """\ if (likely(PyDict_Check(cpy_r_r))) cpy_r_r0 = cpy_r_r; else { CPy_TypeErrorTraceback("prog.py", "foobar", 123, CPyStatic_prog___globals, "dict", cpy_r_r); goto CPyL8; } """, next_block=next_block, next_branch=branch, skip_next=True, ) def test_cast_and_branch_no_merge_1(self) -> None: op = Cast(self.r, dict_rprimitive, 1) branch = Branch(op, BasicBlock(8), BasicBlock(9), Branch.IS_ERROR) branch.traceback_entry = ("foobar", 123) self.assert_emit( op, """\ if (likely(PyDict_Check(cpy_r_r))) cpy_r_r0 = cpy_r_r; else { CPy_TypeError("dict", cpy_r_r); cpy_r_r0 = NULL; } """, next_block=BasicBlock(10), next_branch=branch, skip_next=False, ) def test_cast_and_branch_no_merge_2(self) -> None: op = Cast(self.r, dict_rprimitive, 1) next_block = BasicBlock(9) branch = Branch(op, BasicBlock(8), next_block, Branch.IS_ERROR) branch.negated = True branch.traceback_entry = ("foobar", 123) self.assert_emit( op, """\ if (likely(PyDict_Check(cpy_r_r))) cpy_r_r0 = cpy_r_r; else { CPy_TypeError("dict", cpy_r_r); cpy_r_r0 = NULL; } """, next_block=next_block, next_branch=branch, ) def test_cast_and_branch_no_merge_3(self) -> None: op = Cast(self.r, dict_rprimitive, 1) next_block = BasicBlock(9) branch = Branch(op, BasicBlock(8), next_block, Branch.BOOL) branch.traceback_entry = ("foobar", 123) self.assert_emit( op, """\ if (likely(PyDict_Check(cpy_r_r))) cpy_r_r0 = cpy_r_r; else { CPy_TypeError("dict", cpy_r_r); cpy_r_r0 = NULL; } """, next_block=next_block, next_branch=branch, ) def test_cast_and_branch_no_merge_4(self) -> None: op = Cast(self.r, dict_rprimitive, 1) next_block = BasicBlock(9) branch = Branch(op, BasicBlock(8), next_block, Branch.IS_ERROR) self.assert_emit( op, """\ if (likely(PyDict_Check(cpy_r_r))) cpy_r_r0 = cpy_r_r; else { CPy_TypeError("dict", cpy_r_r); cpy_r_r0 = NULL; } """, next_block=next_block, next_branch=branch, ) def test_extend(self) -> None: a = Register(int32_rprimitive, "a") self.assert_emit(Extend(a, int64_rprimitive, signed=True), """cpy_r_r0 = cpy_r_a;""") self.assert_emit( Extend(a, int64_rprimitive, signed=False), """cpy_r_r0 = (uint32_t)cpy_r_a;""" ) if PLATFORM_SIZE == 4: self.assert_emit( Extend(self.n, int64_rprimitive, signed=True), """cpy_r_r0 = (Py_ssize_t)cpy_r_n;""", ) self.assert_emit( Extend(self.n, int64_rprimitive, signed=False), """cpy_r_r0 = cpy_r_n;""" ) if PLATFORM_SIZE == 8: self.assert_emit(Extend(a, int_rprimitive, signed=True), """cpy_r_r0 = cpy_r_a;""") self.assert_emit( Extend(a, int_rprimitive, signed=False), """cpy_r_r0 = (uint32_t)cpy_r_a;""" ) def test_inc_ref_none(self) -> None: b = Box(self.none) self.assert_emit([b, IncRef(b)], "" if HAVE_IMMORTAL else "CPy_INCREF(cpy_r_r0);") def test_inc_ref_bool(self) -> None: b = Box(self.b) self.assert_emit([b, IncRef(b)], "" if HAVE_IMMORTAL else "CPy_INCREF(cpy_r_r0);") def test_inc_ref_int_literal(self) -> None: for x in -5, 0, 1, 5, 255, 256: b = LoadLiteral(x, object_rprimitive) self.assert_emit([b, IncRef(b)], "" if HAVE_IMMORTAL else "CPy_INCREF(cpy_r_r0);") for x in -1123355, -6, 257, 123235345: b = LoadLiteral(x, object_rprimitive) self.assert_emit([b, IncRef(b)], "CPy_INCREF(cpy_r_r0);") def test_c_string(self) -> None: s = Register(cstring_rprimitive, "s") self.assert_emit(Assign(s, CString(b"foo")), """cpy_r_s = "foo";""") self.assert_emit(Assign(s, CString(b'foo "o')), r"""cpy_r_s = "foo \"o";""") self.assert_emit(Assign(s, CString(b"\x00")), r"""cpy_r_s = "\x00";""") self.assert_emit(Assign(s, CString(b"\\")), r"""cpy_r_s = "\\";""") for i in range(256): b = bytes([i]) if b == b"\n": target = "\\n" elif b == b"\r": target = "\\r" elif b == b"\t": target = "\\t" elif b == b'"': target = '\\"' elif b == b"\\": target = "\\\\" elif i < 32 or i >= 127: target = "\\x%.2x" % i else: target = b.decode("ascii") self.assert_emit(Assign(s, CString(b)), f'cpy_r_s = "{target}";') def assert_emit( self, op: Op | list[Op], expected: str, next_block: BasicBlock | None = None, *, rare: bool = False, next_branch: Branch | None = None, skip_next: bool = False, ) -> None: block = BasicBlock(0) if isinstance(op, Op): block.ops.append(op) else: block.ops.extend(op) op = op[-1] value_names = generate_names_for_ir(self.registers, [block]) emitter = Emitter(self.context, value_names) declarations = Emitter(self.context, value_names) emitter.fragments = [] declarations.fragments = [] visitor = FunctionEmitterVisitor(emitter, declarations, "prog.py", "prog") visitor.next_block = next_block visitor.rare = rare if next_branch: visitor.ops = [op, next_branch] else: visitor.ops = [op] visitor.op_index = 0 op.accept(visitor) frags = declarations.fragments + emitter.fragments actual_lines = [line.strip(" ") for line in frags] assert all(line.endswith("\n") for line in actual_lines) actual_lines = [line.rstrip("\n") for line in actual_lines] if not expected.strip(): expected_lines = [] else: expected_lines = expected.rstrip().split("\n") expected_lines = [line.strip(" ") for line in expected_lines] assert_string_arrays_equal( expected_lines, actual_lines, msg="Generated code unexpected", traceback=True ) if skip_next: assert visitor.op_index == 1 else: assert visitor.op_index == 0 def assert_emit_binary_op( self, op: str, dest: Value, left: Value, right: Value, expected: str ) -> None: if op in binary_ops: ops = binary_ops[op] for desc in ops: if is_subtype(left.type, desc.arg_types[0]) and is_subtype( right.type, desc.arg_types[1] ): args = [left, right] if desc.ordering is not None: args = [args[i] for i in desc.ordering] # This only supports primitives that map to C calls assert desc.c_function_name is not None self.assert_emit( CallC( desc.c_function_name, args, desc.return_type, desc.steals, desc.is_borrowed, desc.error_kind, 55, ), expected, ) return else: assert False, "Could not find matching op" class TestGenerateFunction(unittest.TestCase): def setUp(self) -> None: self.arg = RuntimeArg("arg", int_rprimitive) self.reg = Register(int_rprimitive, "arg") self.block = BasicBlock(0) def test_simple(self) -> None: self.block.ops.append(Return(self.reg)) fn = FuncIR( FuncDecl("myfunc", None, "mod", FuncSignature([self.arg], int_rprimitive)), [self.reg], [self.block], ) value_names = generate_names_for_ir(fn.arg_regs, fn.blocks) emitter = Emitter(EmitterContext(NameGenerator([["mod"]])), value_names) generate_native_function(fn, emitter, "prog.py", "prog") result = emitter.fragments assert_string_arrays_equal( ["CPyTagged CPyDef_myfunc(CPyTagged cpy_r_arg) {\n", " return cpy_r_arg;\n", "}\n"], result, msg="Generated code invalid", ) def test_register(self) -> None: reg = Register(int_rprimitive) op = Assign(reg, Integer(5)) self.block.ops.append(op) self.block.ops.append(Unreachable()) fn = FuncIR( FuncDecl("myfunc", None, "mod", FuncSignature([self.arg], list_rprimitive)), [self.reg], [self.block], ) value_names = generate_names_for_ir(fn.arg_regs, fn.blocks) emitter = Emitter(EmitterContext(NameGenerator([["mod"]])), value_names) generate_native_function(fn, emitter, "prog.py", "prog") result = emitter.fragments assert_string_arrays_equal( [ "PyObject *CPyDef_myfunc(CPyTagged cpy_r_arg) {\n", " CPyTagged cpy_r_r0;\n", " cpy_r_r0 = 10;\n", " CPy_Unreachable();\n", "}\n", ], result, msg="Generated code invalid", ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_emitwrapper.py0000644000175100017510000000424515112307767020354 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypy.test.helpers import assert_string_arrays_equal from mypyc.codegen.emit import Emitter, EmitterContext, ReturnHandler from mypyc.codegen.emitwrapper import generate_arg_check from mypyc.ir.rtypes import int_rprimitive, list_rprimitive from mypyc.namegen import NameGenerator class TestArgCheck(unittest.TestCase): def setUp(self) -> None: self.context = EmitterContext(NameGenerator([["mod"]])) def test_check_list(self) -> None: emitter = Emitter(self.context) generate_arg_check("x", list_rprimitive, emitter, ReturnHandler("NULL")) lines = emitter.fragments self.assert_lines( [ "PyObject *arg_x;", "if (likely(PyList_Check(obj_x)))", " arg_x = obj_x;", "else {", ' CPy_TypeError("list", obj_x);', " return NULL;", "}", ], lines, ) def test_check_int(self) -> None: emitter = Emitter(self.context) generate_arg_check("x", int_rprimitive, emitter, ReturnHandler("NULL")) generate_arg_check("y", int_rprimitive, emitter, ReturnHandler("NULL"), optional=True) lines = emitter.fragments self.assert_lines( [ "CPyTagged arg_x;", "if (likely(PyLong_Check(obj_x)))", " arg_x = CPyTagged_BorrowFromObject(obj_x);", "else {", ' CPy_TypeError("int", obj_x); return NULL;', "}", "CPyTagged arg_y;", "if (obj_y == NULL) {", " arg_y = CPY_INT_TAG;", "} else if (likely(PyLong_Check(obj_y)))", " arg_y = CPyTagged_BorrowFromObject(obj_y);", "else {", ' CPy_TypeError("int", obj_y); return NULL;', "}", ], lines, ) def assert_lines(self, expected: list[str], actual: list[str]) -> None: actual = [line.rstrip("\n") for line in actual] assert_string_arrays_equal(expected, actual, "Invalid output") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_exceptions.py0000644000175100017510000000412515112307767020173 0ustar00runnerrunner"""Test runner for exception handling transform test cases. The transform inserts exception handling branch operations to IR. """ from __future__ import annotations import os.path from mypy.errors import CompileError from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypyc.analysis.blockfreq import frequently_executed_blocks from mypyc.common import TOP_LEVEL_NAME from mypyc.ir.pprint import format_func from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, MypycDataSuite, assert_test_output, build_ir_for_single_file, remove_comment_lines, use_custom_builtins, ) from mypyc.transform.exceptions import insert_exception_handling from mypyc.transform.refcount import insert_ref_count_opcodes from mypyc.transform.uninit import insert_uninit_checks files = ["exceptions.test", "exceptions-freq.test"] class TestExceptionTransform(MypycDataSuite): files = files base_path = test_temp_dir def run_case(self, testcase: DataDrivenTestCase) -> None: """Perform a runtime checking transformation test case.""" with use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase): expected_output = remove_comment_lines(testcase.output) try: ir = build_ir_for_single_file(testcase.input) except CompileError as e: actual = e.messages else: actual = [] for fn in ir: if fn.name == TOP_LEVEL_NAME and not testcase.name.endswith("_toplevel"): continue insert_uninit_checks(fn) insert_exception_handling(fn) insert_ref_count_opcodes(fn) actual.extend(format_func(fn)) if testcase.name.endswith("_freq"): common = frequently_executed_blocks(fn.blocks[0]) actual.append("hot blocks: %s" % sorted(b.label for b in common)) assert_test_output(testcase, actual, "Invalid source code output", expected_output) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_external.py0000644000175100017510000000345015112307767017634 0ustar00runnerrunner"""Test cases that run tests as subprocesses.""" from __future__ import annotations import os import subprocess import sys import tempfile import unittest base_dir = os.path.join(os.path.dirname(__file__), "..", "..") class TestExternal(unittest.TestCase): # TODO: Get this to work on Windows. # (Or don't. It is probably not a good use of time.) @unittest.skipIf(sys.platform.startswith("win"), "rt tests don't work on windows") def test_c_unit_test(self) -> None: """Run C unit tests in a subprocess.""" cppflags: list[str] = [] env = os.environ.copy() if sys.platform == "darwin": cppflags += ["-O0", "-mmacosx-version-min=10.10", "-stdlib=libc++"] elif sys.platform == "linux": cppflags += ["-O0"] env["CPPFLAGS"] = " ".join(cppflags) # Build Python wrapper for C unit tests. with tempfile.TemporaryDirectory() as tmpdir: status = subprocess.check_call( [ sys.executable, "setup.py", "build_ext", f"--build-lib={tmpdir}", f"--build-temp={tmpdir}", "--run-capi-tests", ], env=env, cwd=os.path.join(base_dir, "mypyc", "lib-rt"), ) # Run C unit tests. env = os.environ.copy() if "GTEST_COLOR" not in os.environ: env["GTEST_COLOR"] = "yes" # Use fancy colors status = subprocess.call( [sys.executable, "-c", "import sys, test_capi; sys.exit(test_capi.run_tests())"], env=env, cwd=tmpdir, ) if status != 0: raise AssertionError("make test: C unit test failure") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_irbuild.py0000644000175100017510000000546715112307767017456 0ustar00runnerrunner"""Test cases for IR generation.""" from __future__ import annotations import os.path import sys from mypy.errors import CompileError from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypyc.common import IS_FREE_THREADED, TOP_LEVEL_NAME from mypyc.ir.pprint import format_func from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, MypycDataSuite, assert_test_output, build_ir_for_single_file, infer_ir_build_options_from_test_name, remove_comment_lines, replace_word_size, use_custom_builtins, ) files = [ "irbuild-basic.test", "irbuild-int.test", "irbuild-bool.test", "irbuild-lists.test", "irbuild-tuple.test", "irbuild-dict.test", "irbuild-set.test", "irbuild-str.test", "irbuild-bytes.test", "irbuild-float.test", "irbuild-frozenset.test", "irbuild-statements.test", "irbuild-nested.test", "irbuild-classes.test", "irbuild-optional.test", "irbuild-any.test", "irbuild-generics.test", "irbuild-try.test", "irbuild-strip-asserts.test", "irbuild-i64.test", "irbuild-i32.test", "irbuild-i16.test", "irbuild-u8.test", "irbuild-vectorcall.test", "irbuild-unreachable.test", "irbuild-isinstance.test", "irbuild-dunders.test", "irbuild-singledispatch.test", "irbuild-constant-fold.test", "irbuild-glue-methods.test", "irbuild-math.test", "irbuild-weakref.test", "irbuild-base64.test", ] if sys.version_info >= (3, 10): files.append("irbuild-match.test") class TestGenOps(MypycDataSuite): files = files base_path = test_temp_dir optional_out = True def run_case(self, testcase: DataDrivenTestCase) -> None: """Perform a runtime checking transformation test case.""" options = infer_ir_build_options_from_test_name(testcase.name) if options is None: # Skipped test case return if "_withgil" in testcase.name and IS_FREE_THREADED: # Test case should only run on a non-free-threaded build. return with use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase): expected_output = remove_comment_lines(testcase.output) expected_output = replace_word_size(expected_output) name = testcase.name try: ir = build_ir_for_single_file(testcase.input, options) except CompileError as e: actual = e.messages else: actual = [] for fn in ir: if fn.name == TOP_LEVEL_NAME and not name.endswith("_toplevel"): continue actual.extend(format_func(fn)) assert_test_output(testcase, actual, "Invalid source code output", expected_output) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_ircheck.py0000644000175100017510000001532415112307767017425 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypyc.analysis.ircheck import FnError, can_coerce_to, check_func_ir from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncDecl, FuncIR, FuncSignature from mypyc.ir.ops import ( Assign, BasicBlock, Goto, Integer, LoadAddress, LoadLiteral, Op, Register, Return, ) from mypyc.ir.pprint import format_func from mypyc.ir.rtypes import ( RInstance, RType, RUnion, bytes_rprimitive, int32_rprimitive, int64_rprimitive, none_rprimitive, object_rprimitive, pointer_rprimitive, str_rprimitive, ) def assert_has_error(fn: FuncIR, error: FnError) -> None: errors = check_func_ir(fn) assert errors == [error] def assert_no_errors(fn: FuncIR) -> None: assert not check_func_ir(fn) NONE_VALUE = Integer(0, rtype=none_rprimitive) class TestIrcheck(unittest.TestCase): def setUp(self) -> None: self.label = 0 def basic_block(self, ops: list[Op]) -> BasicBlock: self.label += 1 block = BasicBlock(self.label) block.ops = ops return block def func_decl(self, name: str, ret_type: RType | None = None) -> FuncDecl: if ret_type is None: ret_type = none_rprimitive return FuncDecl( name=name, class_name=None, module_name="module", sig=FuncSignature(args=[], ret_type=ret_type), ) def test_valid_fn(self) -> None: assert_no_errors( FuncIR( decl=self.func_decl(name="func_1"), arg_regs=[], blocks=[self.basic_block(ops=[Return(value=NONE_VALUE)])], ) ) def test_block_not_terminated_empty_block(self) -> None: block = self.basic_block([]) fn = FuncIR(decl=self.func_decl(name="func_1"), arg_regs=[], blocks=[block]) assert_has_error(fn, FnError(source=block, desc="Block not terminated")) def test_valid_goto(self) -> None: block_1 = self.basic_block([Return(value=NONE_VALUE)]) block_2 = self.basic_block([Goto(label=block_1)]) fn = FuncIR(decl=self.func_decl(name="func_1"), arg_regs=[], blocks=[block_1, block_2]) assert_no_errors(fn) def test_invalid_goto(self) -> None: block_1 = self.basic_block([Return(value=NONE_VALUE)]) goto = Goto(label=block_1) block_2 = self.basic_block([goto]) fn = FuncIR( decl=self.func_decl(name="func_1"), arg_regs=[], # block_1 omitted blocks=[block_2], ) assert_has_error(fn, FnError(source=goto, desc="Invalid control operation target: 1")) def test_invalid_register_source(self) -> None: ret = Return(value=Register(type=none_rprimitive, name="r1")) block = self.basic_block([ret]) fn = FuncIR(decl=self.func_decl(name="func_1"), arg_regs=[], blocks=[block]) assert_has_error(fn, FnError(source=ret, desc="Invalid op reference to register 'r1'")) def test_invalid_op_source(self) -> None: ret = Return(value=LoadLiteral(value="foo", rtype=str_rprimitive)) block = self.basic_block([ret]) fn = FuncIR(decl=self.func_decl(name="func_1"), arg_regs=[], blocks=[block]) assert_has_error( fn, FnError(source=ret, desc="Invalid op reference to op of type LoadLiteral") ) def test_invalid_return_type(self) -> None: ret = Return(value=Integer(value=5, rtype=int32_rprimitive)) fn = FuncIR( decl=self.func_decl(name="func_1", ret_type=int64_rprimitive), arg_regs=[], blocks=[self.basic_block([ret])], ) assert_has_error( fn, FnError(source=ret, desc="Cannot coerce source type i32 to dest type i64") ) def test_invalid_assign(self) -> None: arg_reg = Register(type=int64_rprimitive, name="r1") assign = Assign(dest=arg_reg, src=Integer(value=5, rtype=int32_rprimitive)) ret = Return(value=NONE_VALUE) fn = FuncIR( decl=self.func_decl(name="func_1"), arg_regs=[arg_reg], blocks=[self.basic_block([assign, ret])], ) assert_has_error( fn, FnError(source=assign, desc="Cannot coerce source type i32 to dest type i64") ) def test_can_coerce_to(self) -> None: cls = ClassIR(name="Cls", module_name="cls") valid_cases = [ (int64_rprimitive, int64_rprimitive), (str_rprimitive, str_rprimitive), (str_rprimitive, object_rprimitive), (object_rprimitive, str_rprimitive), (RUnion([bytes_rprimitive, str_rprimitive]), str_rprimitive), (str_rprimitive, RUnion([bytes_rprimitive, str_rprimitive])), (RInstance(cls), object_rprimitive), ] invalid_cases = [ (int64_rprimitive, int32_rprimitive), (RInstance(cls), str_rprimitive), (str_rprimitive, bytes_rprimitive), ] for src, dest in valid_cases: assert can_coerce_to(src, dest) for src, dest in invalid_cases: assert not can_coerce_to(src, dest) def test_duplicate_op(self) -> None: arg_reg = Register(type=int32_rprimitive, name="r1") assign = Assign(dest=arg_reg, src=Integer(value=5, rtype=int32_rprimitive)) block = self.basic_block([assign, assign, Return(value=NONE_VALUE)]) fn = FuncIR(decl=self.func_decl(name="func_1"), arg_regs=[], blocks=[block]) assert_has_error(fn, FnError(source=assign, desc="Func has a duplicate op")) def test_pprint(self) -> None: block_1 = self.basic_block([Return(value=NONE_VALUE)]) goto = Goto(label=block_1) block_2 = self.basic_block([goto]) fn = FuncIR( decl=self.func_decl(name="func_1"), arg_regs=[], # block_1 omitted blocks=[block_2], ) errors = [(goto, "Invalid control operation target: 1")] formatted = format_func(fn, errors) assert formatted == [ "def func_1():", "L0:", " goto L1", " ERR: Invalid control operation target: 1", ] def test_load_address_declares_register(self) -> None: rx = Register(str_rprimitive, "x") ry = Register(pointer_rprimitive, "y") load_addr = LoadAddress(pointer_rprimitive, rx) assert_no_errors( FuncIR( decl=self.func_decl(name="func_1"), arg_regs=[], blocks=[ self.basic_block( ops=[load_addr, Assign(ry, load_addr), Return(value=NONE_VALUE)] ) ], ) ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_literals.py0000644000175100017510000000637515112307767017642 0ustar00runnerrunner"""Test code geneneration for literals.""" from __future__ import annotations import unittest from mypyc.codegen.literals import ( Literals, _encode_bytes_values, _encode_int_values, _encode_str_values, format_str_literal, ) class TestLiterals(unittest.TestCase): def test_format_str_literal(self) -> None: assert format_str_literal("") == b"\x00" assert format_str_literal("xyz") == b"\x03xyz" assert format_str_literal("x" * 127) == b"\x7f" + b"x" * 127 assert format_str_literal("x" * 128) == b"\x81\x00" + b"x" * 128 assert format_str_literal("x" * 131) == b"\x81\x03" + b"x" * 131 def test_encode_str_values(self) -> None: assert _encode_str_values({}) == [b""] assert _encode_str_values({"foo": 0}) == [b"\x01\x03foo", b""] assert _encode_str_values({"foo": 0, "b": 1}) == [b"\x02\x03foo\x01b", b""] assert _encode_str_values({"foo": 0, "x" * 70: 1}) == [ b"\x01\x03foo", bytes([1, 70]) + b"x" * 70, b"", ] assert _encode_str_values({"y" * 100: 0}) == [bytes([1, 100]) + b"y" * 100, b""] def test_encode_bytes_values(self) -> None: assert _encode_bytes_values({}) == [b""] assert _encode_bytes_values({b"foo": 0}) == [b"\x01\x03foo", b""] assert _encode_bytes_values({b"foo": 0, b"b": 1}) == [b"\x02\x03foo\x01b", b""] assert _encode_bytes_values({b"foo": 0, b"x" * 70: 1}) == [ b"\x01\x03foo", bytes([1, 70]) + b"x" * 70, b"", ] assert _encode_bytes_values({b"y" * 100: 0}) == [bytes([1, 100]) + b"y" * 100, b""] def test_encode_int_values(self) -> None: assert _encode_int_values({}) == [b""] assert _encode_int_values({123: 0}) == [b"\x01123", b""] assert _encode_int_values({123: 0, 9: 1}) == [b"\x02123\x009", b""] assert _encode_int_values({123: 0, 45: 1, 5 * 10**70: 2}) == [ b"\x02123\x0045", b"\x015" + b"0" * 70, b"", ] assert _encode_int_values({6 * 10**100: 0}) == [b"\x016" + b"0" * 100, b""] def test_simple_literal_index(self) -> None: lit = Literals() lit.record_literal(1) lit.record_literal("y") lit.record_literal(True) lit.record_literal(None) lit.record_literal(False) assert lit.literal_index(None) == 0 assert lit.literal_index(False) == 1 assert lit.literal_index(True) == 2 assert lit.literal_index("y") == 3 assert lit.literal_index(1) == 4 def test_tuple_literal(self) -> None: lit = Literals() lit.record_literal((1, "y", None, (b"a", "b"))) lit.record_literal((b"a", "b")) lit.record_literal(()) assert lit.literal_index((b"a", "b")) == 7 assert lit.literal_index((1, "y", None, (b"a", "b"))) == 8 assert lit.literal_index(()) == 9 print(lit.encoded_tuple_values()) assert lit.encoded_tuple_values() == [ "3", # Number of tuples "2", "5", "4", # First tuple (length=2) "4", "6", "3", "0", "7", # Second tuple (length=4) "0", # Third tuple (length=0) ] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_lowering.py0000644000175100017510000000460115112307767017637 0ustar00runnerrunner"""Runner for lowering transform tests.""" from __future__ import annotations import os.path from mypy.errors import CompileError from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypyc.common import TOP_LEVEL_NAME from mypyc.ir.pprint import format_func from mypyc.options import CompilerOptions from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, MypycDataSuite, assert_test_output, build_ir_for_single_file, infer_ir_build_options_from_test_name, remove_comment_lines, replace_word_size, use_custom_builtins, ) from mypyc.transform.exceptions import insert_exception_handling from mypyc.transform.flag_elimination import do_flag_elimination from mypyc.transform.lower import lower_ir from mypyc.transform.refcount import insert_ref_count_opcodes from mypyc.transform.uninit import insert_uninit_checks class TestLowering(MypycDataSuite): files = ["lowering-int.test", "lowering-list.test"] base_path = test_temp_dir def run_case(self, testcase: DataDrivenTestCase) -> None: options = infer_ir_build_options_from_test_name(testcase.name) if options is None: # Skipped test case return with use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase): expected_output = remove_comment_lines(testcase.output) expected_output = replace_word_size(expected_output) try: ir = build_ir_for_single_file(testcase.input, options) except CompileError as e: actual = e.messages else: actual = [] for fn in ir: if fn.name == TOP_LEVEL_NAME and not testcase.name.endswith("_toplevel"): continue options = CompilerOptions() # Lowering happens after exception handling and ref count opcodes have # been added. Any changes must maintain reference counting semantics. insert_uninit_checks(fn) insert_exception_handling(fn) insert_ref_count_opcodes(fn) lower_ir(fn, options) do_flag_elimination(fn, options) actual.extend(format_func(fn)) assert_test_output(testcase, actual, "Invalid source code output", expected_output) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_misc.py0000644000175100017510000000126215112307767016744 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypyc.ir.ops import BasicBlock from mypyc.ir.pprint import format_blocks, generate_names_for_ir from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.options import CompilerOptions class TestMisc(unittest.TestCase): def test_debug_op(self) -> None: block = BasicBlock() builder = LowLevelIRBuilder(errors=None, options=CompilerOptions()) builder.activate_block(block) builder.debug_print("foo") names = generate_names_for_ir([], [block]) code = format_blocks([block], names, {}) assert code[:-1] == ["L0:", " r0 = 'foo'", " CPyDebug_PrintObject(r0)"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_namegen.py0000644000175100017510000000524015112307767017423 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypyc.namegen import ( NameGenerator, candidate_suffixes, exported_name, make_module_translation_map, ) class TestNameGen(unittest.TestCase): def test_candidate_suffixes(self) -> None: assert candidate_suffixes("foo") == ["", "foo."] assert candidate_suffixes("foo.bar") == ["", "bar.", "foo.bar."] def test_exported_name(self) -> None: assert exported_name("foo") == "foo" assert exported_name("foo.bar") == "foo___bar" def test_make_module_translation_map(self) -> None: assert make_module_translation_map(["foo", "bar"]) == {"foo": "foo.", "bar": "bar."} assert make_module_translation_map(["foo.bar", "foo.baz"]) == { "foo.bar": "bar.", "foo.baz": "baz.", } assert make_module_translation_map(["zar", "foo.bar", "foo.baz"]) == { "foo.bar": "bar.", "foo.baz": "baz.", "zar": "zar.", } assert make_module_translation_map(["foo.bar", "fu.bar", "foo.baz"]) == { "foo.bar": "foo.bar.", "fu.bar": "fu.bar.", "foo.baz": "baz.", } assert make_module_translation_map(["foo", "foo.foo", "bar.foo", "bar.foo.bar.foo"]) == { "foo": "foo.", "foo.foo": "foo.foo.", "bar.foo": "bar.foo.", "bar.foo.bar.foo": "foo.bar.foo.", } def test_name_generator(self) -> None: g = NameGenerator([["foo", "foo.zar"]]) assert g.private_name("foo", "f") == "foo___f" assert g.private_name("foo", "C.x.y") == "foo___C___x___y" assert g.private_name("foo", "C.x.y") == "foo___C___x___y" assert g.private_name("foo.zar", "C.x.y") == "zar___C___x___y" assert g.private_name("foo", "C.x_y") == "foo___C___x_y" assert g.private_name("foo", "C_x_y") == "foo___C_x_y" assert g.private_name("foo", "C_x_y") == "foo___C_x_y" assert g.private_name("foo", "___") == "foo______3_" g = NameGenerator([["foo.zar"]]) assert g.private_name("foo.zar", "f") == "f" def test_name_generator_with_separate(self) -> None: g = NameGenerator([["foo", "foo.zar"]], separate=True) assert g.private_name("foo", "f") == "foo___f" assert g.private_name("foo", "C.x.y") == "foo___C___x___y" assert g.private_name("foo.zar", "C.x.y") == "foo___zar___C___x___y" assert g.private_name("foo", "C.x_y") == "foo___C___x_y" assert g.private_name("foo", "___") == "foo______3_" g = NameGenerator([["foo.zar"]], separate=True) assert g.private_name("foo.zar", "f") == "foo___zar___f" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_optimizations.py0000644000175100017510000000432015112307767020720 0ustar00runnerrunner"""Runner for IR optimization tests.""" from __future__ import annotations import os.path from mypy.errors import CompileError from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypyc.common import TOP_LEVEL_NAME from mypyc.ir.func_ir import FuncIR from mypyc.ir.pprint import format_func from mypyc.options import CompilerOptions from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, MypycDataSuite, assert_test_output, build_ir_for_single_file, remove_comment_lines, use_custom_builtins, ) from mypyc.transform.copy_propagation import do_copy_propagation from mypyc.transform.flag_elimination import do_flag_elimination from mypyc.transform.uninit import insert_uninit_checks class OptimizationSuite(MypycDataSuite): """Base class for IR optimization test suites. To use this, add a base class and define "files" and "do_optimizations". """ base_path = test_temp_dir def run_case(self, testcase: DataDrivenTestCase) -> None: with use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase): expected_output = remove_comment_lines(testcase.output) try: ir = build_ir_for_single_file(testcase.input) except CompileError as e: actual = e.messages else: actual = [] for fn in ir: if fn.name == TOP_LEVEL_NAME and not testcase.name.endswith("_toplevel"): continue insert_uninit_checks(fn) self.do_optimizations(fn) actual.extend(format_func(fn)) assert_test_output(testcase, actual, "Invalid source code output", expected_output) def do_optimizations(self, fn: FuncIR) -> None: raise NotImplementedError class TestCopyPropagation(OptimizationSuite): files = ["opt-copy-propagation.test"] def do_optimizations(self, fn: FuncIR) -> None: do_copy_propagation(fn, CompilerOptions()) class TestFlagElimination(OptimizationSuite): files = ["opt-flag-elimination.test"] def do_optimizations(self, fn: FuncIR) -> None: do_flag_elimination(fn, CompilerOptions()) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_pprint.py0000644000175100017510000000240115112307767017321 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypyc.ir.ops import Assign, BasicBlock, Integer, IntOp, Op, Register, Unreachable from mypyc.ir.pprint import generate_names_for_ir from mypyc.ir.rtypes import int_rprimitive def register(name: str) -> Register: return Register(int_rprimitive, "foo", is_arg=True) def make_block(ops: list[Op]) -> BasicBlock: block = BasicBlock() block.ops.extend(ops) return block class TestGenerateNames(unittest.TestCase): def test_empty(self) -> None: assert generate_names_for_ir([], []) == {} def test_arg(self) -> None: reg = register("foo") assert generate_names_for_ir([reg], []) == {reg: "foo"} def test_int_op(self) -> None: n1 = Integer(2) n2 = Integer(4) op1 = IntOp(int_rprimitive, n1, n2, IntOp.ADD) op2 = IntOp(int_rprimitive, op1, n2, IntOp.ADD) block = make_block([op1, op2, Unreachable()]) assert generate_names_for_ir([], [block]) == {op1: "r0", op2: "r1"} def test_assign(self) -> None: reg = register("foo") n = Integer(2) op1 = Assign(reg, n) op2 = Assign(reg, n) block = make_block([op1, op2]) assert generate_names_for_ir([reg], [block]) == {reg: "foo"} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_rarray.py0000644000175100017510000000272015112307767017311 0ustar00runnerrunner"""Unit tests for RArray types.""" from __future__ import annotations import unittest from mypyc.common import PLATFORM_SIZE from mypyc.ir.rtypes import ( RArray, bool_rprimitive, compute_rtype_alignment, compute_rtype_size, int_rprimitive, ) class TestRArray(unittest.TestCase): def test_basics(self) -> None: a = RArray(int_rprimitive, 10) assert a.item_type == int_rprimitive assert a.length == 10 def test_str_conversion(self) -> None: a = RArray(int_rprimitive, 10) assert str(a) == "int[10]" assert repr(a) == "[10]>" def test_eq(self) -> None: a = RArray(int_rprimitive, 10) assert a == RArray(int_rprimitive, 10) assert a != RArray(bool_rprimitive, 10) assert a != RArray(int_rprimitive, 9) def test_hash(self) -> None: assert hash(RArray(int_rprimitive, 10)) == hash(RArray(int_rprimitive, 10)) assert hash(RArray(bool_rprimitive, 5)) == hash(RArray(bool_rprimitive, 5)) def test_alignment(self) -> None: a = RArray(int_rprimitive, 10) assert compute_rtype_alignment(a) == PLATFORM_SIZE b = RArray(bool_rprimitive, 55) assert compute_rtype_alignment(b) == 1 def test_size(self) -> None: a = RArray(int_rprimitive, 9) assert compute_rtype_size(a) == 9 * PLATFORM_SIZE b = RArray(bool_rprimitive, 3) assert compute_rtype_size(b) == 3 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_refcount.py0000644000175100017510000000400415112307767017633 0ustar00runnerrunner"""Test runner for reference count opcode insertion transform test cases. The transform inserts needed reference count increment/decrement operations to IR. """ from __future__ import annotations import os.path from mypy.errors import CompileError from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase from mypyc.common import TOP_LEVEL_NAME from mypyc.ir.pprint import format_func from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, MypycDataSuite, assert_test_output, build_ir_for_single_file, infer_ir_build_options_from_test_name, remove_comment_lines, replace_word_size, use_custom_builtins, ) from mypyc.transform.refcount import insert_ref_count_opcodes from mypyc.transform.uninit import insert_uninit_checks files = ["refcount.test"] class TestRefCountTransform(MypycDataSuite): files = files base_path = test_temp_dir optional_out = True def run_case(self, testcase: DataDrivenTestCase) -> None: """Perform a runtime checking transformation test case.""" options = infer_ir_build_options_from_test_name(testcase.name) if options is None: # Skipped test case return with use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase): expected_output = remove_comment_lines(testcase.output) expected_output = replace_word_size(expected_output) try: ir = build_ir_for_single_file(testcase.input, options) except CompileError as e: actual = e.messages else: actual = [] for fn in ir: if fn.name == TOP_LEVEL_NAME and not testcase.name.endswith("_toplevel"): continue insert_uninit_checks(fn) insert_ref_count_opcodes(fn) actual.extend(format_func(fn)) assert_test_output(testcase, actual, "Invalid source code output", expected_output) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_run.py0000644000175100017510000004320415112307767016617 0ustar00runnerrunner"""Test cases for building an C extension and running it.""" from __future__ import annotations import ast import contextlib import glob import os.path import re import shutil import subprocess import sys import time from collections.abc import Iterator from typing import Any from mypy import build from mypy.errors import CompileError from mypy.options import Options from mypy.test.config import mypyc_output_dir, test_temp_dir from mypy.test.data import DataDrivenTestCase from mypy.test.helpers import assert_module_equivalence, perform_file_operations from mypyc.build import construct_groups from mypyc.codegen import emitmodule from mypyc.errors import Errors from mypyc.options import CompilerOptions from mypyc.test.config import test_data_prefix from mypyc.test.test_serialization import check_serialization_roundtrip from mypyc.test.testutil import ( ICODE_GEN_BUILTINS, TESTUTIL_PATH, MypycDataSuite, assert_test_output, fudge_dir_mtimes, show_c, use_custom_builtins, ) files = [ "run-async.test", "run-misc.test", "run-functions.test", "run-integers.test", "run-i64.test", "run-i32.test", "run-i16.test", "run-u8.test", "run-floats.test", "run-math.test", "run-bools.test", "run-strings.test", "run-bytes.test", "run-tuples.test", "run-lists.test", "run-dicts.test", "run-sets.test", "run-primitives.test", "run-loops.test", "run-exceptions.test", "run-imports.test", "run-classes.test", "run-traits.test", "run-generators.test", "run-generics.test", "run-multimodule.test", "run-bench.test", "run-mypy-sim.test", "run-dunders.test", "run-dunders-special.test", "run-singledispatch.test", "run-attrs.test", "run-signatures.test", "run-weakref.test", "run-python37.test", "run-python38.test", "run-base64.test", ] if sys.version_info >= (3, 10): files.append("run-match.test") if sys.version_info >= (3, 12): files.append("run-python312.test") setup_format = """\ from setuptools import setup from mypyc.build import mypycify setup(name='test_run_output', ext_modules=mypycify({}, separate={}, skip_cgen_input={!r}, strip_asserts=False, multi_file={}, opt_level='{}', install_librt={}, experimental_features={}), ) """ WORKDIR = "build" def run_setup(script_name: str, script_args: list[str]) -> bool: """Run a setup script in a somewhat controlled environment. This is adapted from code in distutils and our goal here is that is faster to not need to spin up a python interpreter to run it. We had to fork it because the real run_setup swallows errors and KeyboardInterrupt with no way to recover them (!). The real version has some extra features that we removed since we weren't using them. Returns whether the setup succeeded. """ save_argv = sys.argv.copy() g = {"__file__": script_name} try: try: sys.argv[0] = script_name sys.argv[1:] = script_args with open(script_name, "rb") as f: exec(f.read(), g) finally: sys.argv = save_argv except SystemExit as e: # distutils converts KeyboardInterrupt into a SystemExit with # "interrupted" as the argument. Convert it back so that # pytest will exit instead of just failing the test. if e.code == "interrupted": raise KeyboardInterrupt from e return e.code == 0 or e.code is None return True @contextlib.contextmanager def chdir_manager(target: str) -> Iterator[None]: dir = os.getcwd() os.chdir(target) try: yield finally: os.chdir(dir) class TestRun(MypycDataSuite): """Test cases that build a C extension and run code.""" files = files base_path = test_temp_dir optional_out = True multi_file = False separate = False # If True, using separate (incremental) compilation strict_dunder_typing = False def run_case(self, testcase: DataDrivenTestCase) -> None: # setup.py wants to be run from the root directory of the package, which we accommodate # by chdiring into tmp/ with ( use_custom_builtins(os.path.join(self.data_prefix, ICODE_GEN_BUILTINS), testcase), chdir_manager("tmp"), ): self.run_case_inner(testcase) def run_case_inner(self, testcase: DataDrivenTestCase) -> None: if not os.path.isdir(WORKDIR): # (one test puts something in build...) os.mkdir(WORKDIR) text = "\n".join(testcase.input) with open("native.py", "w", encoding="utf-8") as f: f.write(text) with open("interpreted.py", "w", encoding="utf-8") as f: f.write(text) shutil.copyfile(TESTUTIL_PATH, "testutil.py") step = 1 self.run_case_step(testcase, step) steps = testcase.find_steps() if steps == [[]]: steps = [] for operations in steps: # To make sure that any new changes get picked up as being # new by distutils, shift the mtime of all of the # generated artifacts back by a second. fudge_dir_mtimes(WORKDIR, -1) # On some OS, changing the mtime doesn't work reliably. As # a workaround, sleep. # TODO: Figure out a better approach, since this slows down tests. time.sleep(1.0) step += 1 with chdir_manager(".."): perform_file_operations(operations) self.run_case_step(testcase, step) def run_case_step(self, testcase: DataDrivenTestCase, incremental_step: int) -> None: bench = testcase.config.getoption("--bench", False) and "Benchmark" in testcase.name options = Options() options.use_builtins_fixtures = True options.show_traceback = True options.strict_optional = True options.python_version = sys.version_info[:2] options.export_types = True options.preserve_asts = True options.allow_empty_bodies = True options.incremental = self.separate # Avoid checking modules/packages named 'unchecked', to provide a way # to test interacting with code we don't have types for. options.per_module_options["unchecked.*"] = {"follow_imports": "error"} source = build.BuildSource("native.py", "native", None) sources = [source] module_names = ["native"] module_paths = ["native.py"] # Hard code another module name to compile in the same compilation unit. to_delete = [] for fn, text in testcase.files: fn = os.path.relpath(fn, test_temp_dir) if os.path.basename(fn).startswith("other") and fn.endswith(".py"): name = fn.split(".")[0].replace(os.sep, ".") module_names.append(name) sources.append(build.BuildSource(fn, name, None)) to_delete.append(fn) module_paths.append(fn) shutil.copyfile(fn, os.path.join(os.path.dirname(fn), name + "_interpreted.py")) for source in sources: options.per_module_options.setdefault(source.module, {})["mypyc"] = True separate = ( self.get_separate("\n".join(testcase.input), incremental_step) if self.separate else False ) groups = construct_groups(sources, separate, len(module_names) > 1, None) # Use _librt_internal to test mypy-specific parts of librt (they have # some special-casing in mypyc), for everything else use _librt suffix. librt_internal = testcase.name.endswith("_librt_internal") librt = testcase.name.endswith("_librt") or "_librt_" in testcase.name # Enable experimental features (local librt build also includes experimental features) experimental_features = testcase.name.endswith("_experimental") try: compiler_options = CompilerOptions( multi_file=self.multi_file, separate=self.separate, strict_dunder_typing=self.strict_dunder_typing, depends_on_librt_internal=librt_internal, experimental_features=experimental_features, ) result = emitmodule.parse_and_typecheck( sources=sources, options=options, compiler_options=compiler_options, groups=groups, alt_lib_path=".", ) errors = Errors(options) ir, cfiles, _ = emitmodule.compile_modules_to_c( result, compiler_options=compiler_options, errors=errors, groups=groups ) if errors.num_errors: errors.flush_errors() assert False, "Compile error" except CompileError as e: for line in e.messages: print(fix_native_line_number(line, testcase.file, testcase.line)) assert False, "Compile error" # Check that serialization works on this IR. (Only on the first # step because the returned ir only includes updated code.) if incremental_step == 1: check_serialization_roundtrip(ir) opt_level = int(os.environ.get("MYPYC_OPT_LEVEL", 0)) setup_file = os.path.abspath(os.path.join(WORKDIR, "setup.py")) # We pass the C file information to the build script via setup.py unfortunately with open(setup_file, "w", encoding="utf-8") as f: f.write( setup_format.format( module_paths, separate, cfiles, self.multi_file, opt_level, librt, experimental_features, ) ) if librt: # This hack forces Python to prefer the local "installation". os.makedirs("librt", exist_ok=True) with open(os.path.join("librt", "__init__.py"), "a"): pass if not run_setup(setup_file, ["build_ext", "--inplace"]): if testcase.config.getoption("--mypyc-showc"): show_c(cfiles) copy_output_files(mypyc_output_dir) assert False, "Compilation failed" # Assert that an output file got created suffix = "pyd" if sys.platform == "win32" else "so" assert glob.glob(f"native.*.{suffix}") or glob.glob(f"native.{suffix}") driver_path = "driver.py" if not os.path.isfile(driver_path): # No driver.py provided by test case. Use the default one # (mypyc/test-data/driver/driver.py) that calls each # function named test_*. default_driver = os.path.join(test_data_prefix, "driver", "driver.py") shutil.copy(default_driver, driver_path) env = os.environ.copy() env["MYPYC_RUN_BENCH"] = "1" if bench else "0" debugger = testcase.config.getoption("debugger") if debugger: if debugger == "lldb": subprocess.check_call(["lldb", "--", sys.executable, driver_path], env=env) elif debugger == "gdb": subprocess.check_call(["gdb", "--args", sys.executable, driver_path], env=env) else: assert False, "Unsupported debugger" # TODO: find a way to automatically disable capturing # stdin/stdout when in debugging mode assert False, ( "Test can't pass in debugging mode. " "(Make sure to pass -s to pytest to interact with the debugger)" ) proc = subprocess.Popen( [sys.executable, driver_path], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, env=env, ) if sys.version_info >= (3, 12): # TODO: testDecorators1 hangs on 3.12, remove this once fixed proc.wait(timeout=30) output = proc.communicate()[0].decode("utf8") output = output.replace(f' File "{os.getcwd()}{os.sep}', ' File "') outlines = output.splitlines() if testcase.config.getoption("--mypyc-showc"): show_c(cfiles) if proc.returncode != 0: print() signal = proc.returncode == -11 extra = "" if signal: extra = " (likely segmentation fault)" print(f"*** Exit status: {proc.returncode}{extra}") if signal and not sys.platform.startswith("win"): print() if sys.platform == "darwin": debugger = "lldb" else: debugger = "gdb" print( f'hint: Use "pytest -n0 -s --mypyc-debug={debugger} -k " to run test in debugger' ) print("hint: You may need to build a debug version of Python first and use it") print('hint: See also "Debugging Segfaults" in mypyc/doc/dev-intro.md') copy_output_files(mypyc_output_dir) # Verify output. if bench: print("Test output:") print(output) else: if incremental_step == 1: msg = "Invalid output" expected = testcase.output else: msg = f"Invalid output (step {incremental_step})" expected = testcase.output2.get(incremental_step, []) if not expected: # Tweak some line numbers, but only if the expected output is empty, # as tweaked output might not match expected output. outlines = [ fix_native_line_number(line, testcase.file, testcase.line) for line in outlines ] assert_test_output(testcase, outlines, msg, expected) if incremental_step > 1 and options.incremental: suffix = "" if incremental_step == 2 else str(incremental_step - 1) expected_rechecked = testcase.expected_rechecked_modules.get(incremental_step - 1) if expected_rechecked is not None: assert_module_equivalence( "rechecked" + suffix, expected_rechecked, result.manager.rechecked_modules ) expected_stale = testcase.expected_stale_modules.get(incremental_step - 1) if expected_stale is not None: assert_module_equivalence( "stale" + suffix, expected_stale, result.manager.stale_modules ) assert proc.returncode == 0 def get_separate(self, program_text: str, incremental_step: int) -> Any: template = r"# separate{}: (\[.*\])$" m = re.search(template.format(incremental_step), program_text, flags=re.MULTILINE) if not m: m = re.search(template.format(""), program_text, flags=re.MULTILINE) if m: return ast.literal_eval(m.group(1)) else: return True class TestRunMultiFile(TestRun): """Run the main multi-module tests in multi-file compilation mode. In multi-file mode each module gets compiled into a separate C file, but all modules (C files) are compiled together. """ multi_file = True test_name_suffix = "_multi" files = ["run-multimodule.test", "run-mypy-sim.test"] class TestRunSeparate(TestRun): """Run the main multi-module tests in separate compilation mode. In this mode there are multiple compilation groups, which are compiled incrementally. Each group is compiled to a separate C file, and these C files are compiled separately. Each compiled module is placed into a separate compilation group, unless overridden by a special comment. Consider this example: # separate: [(["other.py", "other_b.py"], "stuff")] This puts other.py and other_b.py into a compilation group named "stuff". Any files not mentioned in the comment will get single-file groups. """ separate = True test_name_suffix = "_separate" files = ["run-multimodule.test", "run-mypy-sim.test"] class TestRunStrictDunderTyping(TestRun): """Run the tests with strict dunder typing.""" strict_dunder_typing = True test_name_suffix = "_dunder_typing" files = ["run-dunders.test", "run-floats.test"] def fix_native_line_number(message: str, fnam: str, delta: int) -> str: """Update code locations in test case output to point to the .test file. The description of the test case is written to native.py, and line numbers in test case output often are relative to native.py. This translates the line numbers to be relative to the .test file that contains the test case description, and also updates the file name to the .test file name. Args: message: message to update fnam: path of the .test file delta: line number of the beginning of the test case in the .test file Returns updated message (or original message if we couldn't find anything). """ fnam = os.path.basename(fnam) message = re.sub( r"native\.py:([0-9]+):", lambda m: "%s:%d:" % (fnam, int(m.group(1)) + delta), message ) message = re.sub( r'"native.py", line ([0-9]+),', lambda m: '"%s", line %d,' % (fnam, int(m.group(1)) + delta), message, ) return message def copy_output_files(target_dir: str) -> None: try: os.mkdir(target_dir) except OSError: # Only copy data for the first failure, to avoid excessive output in case # many tests fail return for fnam in glob.glob("build/*.[ch]"): shutil.copy(fnam, target_dir) sys.stderr.write(f"\nGenerated files: {target_dir} (for first failure only)\n\n") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_serialization.py0000644000175100017510000000773315112307767020677 0ustar00runnerrunner"""Functions to check that serialization round-tripped properly.""" # This file is named test_serialization.py even though it doesn't # contain its own tests so that pytest will rewrite the asserts... from __future__ import annotations from collections.abc import Iterable from typing import Any from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncDecl, FuncIR, FuncSignature from mypyc.ir.module_ir import ModuleIR, deserialize_modules from mypyc.ir.ops import DeserMaps from mypyc.ir.rtypes import RType from mypyc.sametype import is_same_signature, is_same_type def get_dict(x: Any) -> dict[str, Any]: if hasattr(x, "__mypyc_attrs__"): return {k: getattr(x, k) for k in x.__mypyc_attrs__ if hasattr(x, k)} else: return dict(x.__dict__) def get_function_dict(x: FuncIR) -> dict[str, Any]: """Get a dict of function attributes safe to compare across serialization""" d = get_dict(x) d.pop("blocks", None) d.pop("env", None) return d def assert_blobs_same(x: Any, y: Any, trail: tuple[Any, ...]) -> None: """Compare two blobs of IR as best we can. FuncDecls, FuncIRs, and ClassIRs are compared by fullname to avoid infinite recursion. (More detailed comparisons should be done manually.) Types and signatures are compared using mypyc.sametype. Containers are compared recursively. Anything else is compared with ==. The `trail` argument is used in error messages. """ assert type(x) is type(y), (f"Type mismatch at {trail}", type(x), type(y)) if isinstance(x, (FuncDecl, FuncIR, ClassIR)): assert x.fullname == y.fullname, f"Name mismatch at {trail}" elif isinstance(x, dict): assert len(x.keys()) == len(y.keys()), f"Keys mismatch at {trail}" for (xk, xv), (yk, yv) in zip(x.items(), y.items()): assert_blobs_same(xk, yk, trail + ("keys",)) assert_blobs_same(xv, yv, trail + (xk,)) elif isinstance(x, dict): assert x.keys() == y.keys(), f"Keys mismatch at {trail}" for k in x.keys(): assert_blobs_same(x[k], y[k], trail + (k,)) elif isinstance(x, Iterable) and not isinstance(x, (str, set)): # Special case iterables to generate better assert error messages. # We can't use this for sets since the ordering is unpredictable, # and strings should be treated as atomic values. for i, (xv, yv) in enumerate(zip(x, y)): assert_blobs_same(xv, yv, trail + (i,)) elif isinstance(x, RType): assert is_same_type(x, y), f"RType mismatch at {trail}" elif isinstance(x, FuncSignature): assert is_same_signature(x, y), f"Signature mismatch at {trail}" else: assert x == y, f"Value mismatch at {trail}" def assert_modules_same(ir1: ModuleIR, ir2: ModuleIR) -> None: """Assert that two module IRs are the same (*). * Or rather, as much as we care about preserving across serialization. We drop the actual IR bodies of functions but try to preserve everything else. """ assert ir1.fullname == ir2.fullname assert ir1.imports == ir2.imports for cls1, cls2 in zip(ir1.classes, ir2.classes): assert_blobs_same(get_dict(cls1), get_dict(cls2), (ir1.fullname, cls1.fullname)) for fn1, fn2 in zip(ir1.functions, ir2.functions): assert_blobs_same( get_function_dict(fn1), get_function_dict(fn2), (ir1.fullname, fn1.fullname) ) assert_blobs_same(get_dict(fn1.decl), get_dict(fn2.decl), (ir1.fullname, fn1.fullname)) assert_blobs_same(ir1.final_names, ir2.final_names, (ir1.fullname, "final_names")) def check_serialization_roundtrip(irs: dict[str, ModuleIR]) -> None: """Check that we can serialize modules out and deserialize them to the same thing.""" serialized = {k: ir.serialize() for k, ir in irs.items()} ctx = DeserMaps({}, {}) irs2 = deserialize_modules(serialized, ctx) assert irs.keys() == irs2.keys() for k in irs: assert_modules_same(irs[k], irs2[k]) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_struct.py0000644000175100017510000000747715112307767017353 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypyc.ir.rtypes import ( RStruct, bool_rprimitive, int32_rprimitive, int64_rprimitive, int_rprimitive, object_rprimitive, ) from mypyc.rt_subtype import is_runtime_subtype class TestStruct(unittest.TestCase): def test_struct_offsets(self) -> None: # test per-member alignment r = RStruct("", [], [bool_rprimitive, int32_rprimitive, int64_rprimitive]) assert r.size == 16 assert r.offsets == [0, 4, 8] # test final alignment r1 = RStruct("", [], [bool_rprimitive, bool_rprimitive]) assert r1.size == 2 assert r1.offsets == [0, 1] r2 = RStruct("", [], [int32_rprimitive, bool_rprimitive]) r3 = RStruct("", [], [int64_rprimitive, bool_rprimitive]) assert r2.offsets == [0, 4] assert r3.offsets == [0, 8] assert r2.size == 8 assert r3.size == 16 r4 = RStruct("", [], [bool_rprimitive, bool_rprimitive, bool_rprimitive, int32_rprimitive]) assert r4.size == 8 assert r4.offsets == [0, 1, 2, 4] # test nested struct r5 = RStruct("", [], [bool_rprimitive, r]) assert r5.offsets == [0, 8] assert r5.size == 24 r6 = RStruct("", [], [int32_rprimitive, r5]) assert r6.offsets == [0, 8] assert r6.size == 32 # test nested struct with alignment less than 8 r7 = RStruct("", [], [bool_rprimitive, r4]) assert r7.offsets == [0, 4] assert r7.size == 12 def test_struct_str(self) -> None: r = RStruct("Foo", ["a", "b"], [bool_rprimitive, object_rprimitive]) assert str(r) == "Foo{a:bool, b:object}" assert ( repr(r) == ", " "b:}>" ) r1 = RStruct("Bar", ["c"], [int32_rprimitive]) assert str(r1) == "Bar{c:i32}" assert repr(r1) == "}>" r2 = RStruct("Baz", [], []) assert str(r2) == "Baz{}" assert repr(r2) == "" def test_runtime_subtype(self) -> None: # right type to check with r = RStruct("Foo", ["a", "b"], [bool_rprimitive, int_rprimitive]) # using the exact same fields r1 = RStruct("Foo", ["a", "b"], [bool_rprimitive, int_rprimitive]) # names different r2 = RStruct("Bar", ["c", "b"], [bool_rprimitive, int_rprimitive]) # name different r3 = RStruct("Baz", ["a", "b"], [bool_rprimitive, int_rprimitive]) # type different r4 = RStruct("FooBar", ["a", "b"], [bool_rprimitive, int32_rprimitive]) # number of types different r5 = RStruct( "FooBarBaz", ["a", "b", "c"], [bool_rprimitive, int_rprimitive, bool_rprimitive] ) assert is_runtime_subtype(r1, r) is True assert is_runtime_subtype(r2, r) is False assert is_runtime_subtype(r3, r) is False assert is_runtime_subtype(r4, r) is False assert is_runtime_subtype(r5, r) is False def test_eq_and_hash(self) -> None: r = RStruct("Foo", ["a", "b"], [bool_rprimitive, int_rprimitive]) # using the exact same fields r1 = RStruct("Foo", ["a", "b"], [bool_rprimitive, int_rprimitive]) assert hash(r) == hash(r1) assert r == r1 # different name r2 = RStruct("Foq", ["a", "b"], [bool_rprimitive, int_rprimitive]) assert hash(r) != hash(r2) assert r != r2 # different names r3 = RStruct("Foo", ["a", "c"], [bool_rprimitive, int_rprimitive]) assert hash(r) != hash(r3) assert r != r3 # different type r4 = RStruct("Foo", ["a", "b"], [bool_rprimitive, int_rprimitive, bool_rprimitive]) assert hash(r) != hash(r4) assert r != r4 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_tuplename.py0000644000175100017510000000202415112307767020000 0ustar00runnerrunnerfrom __future__ import annotations import unittest from mypyc.ir.class_ir import ClassIR from mypyc.ir.rtypes import ( RInstance, RTuple, RUnion, bool_rprimitive, int_rprimitive, list_rprimitive, object_rprimitive, ) class TestTupleNames(unittest.TestCase): def setUp(self) -> None: self.inst_a = RInstance(ClassIR("A", "__main__")) self.inst_b = RInstance(ClassIR("B", "__main__")) def test_names(self) -> None: assert RTuple([int_rprimitive, int_rprimitive]).unique_id == "T2II" assert RTuple([list_rprimitive, object_rprimitive, self.inst_a]).unique_id == "T3OOO" assert RTuple([list_rprimitive, object_rprimitive, self.inst_b]).unique_id == "T3OOO" assert RTuple([]).unique_id == "T0" assert ( RTuple([RTuple([]), RTuple([int_rprimitive, int_rprimitive])]).unique_id == "T2T0T2II" ) assert ( RTuple([bool_rprimitive, RUnion([bool_rprimitive, int_rprimitive])]).unique_id == "T2CO" ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/test_typeops.py0000644000175100017510000000753715112307767017527 0ustar00runnerrunner"""Test cases for various RType operations.""" from __future__ import annotations import unittest from mypyc.ir.rtypes import ( RUnion, bit_rprimitive, bool_rprimitive, int16_rprimitive, int32_rprimitive, int64_rprimitive, int_rprimitive, object_rprimitive, short_int_rprimitive, str_rprimitive, ) from mypyc.rt_subtype import is_runtime_subtype from mypyc.subtype import is_subtype native_int_types = [int64_rprimitive, int32_rprimitive, int16_rprimitive] class TestSubtype(unittest.TestCase): def test_bit(self) -> None: assert is_subtype(bit_rprimitive, bool_rprimitive) assert is_subtype(bit_rprimitive, int_rprimitive) assert is_subtype(bit_rprimitive, short_int_rprimitive) for rt in native_int_types: assert is_subtype(bit_rprimitive, rt) def test_bool(self) -> None: assert not is_subtype(bool_rprimitive, bit_rprimitive) assert is_subtype(bool_rprimitive, int_rprimitive) assert is_subtype(bool_rprimitive, short_int_rprimitive) for rt in native_int_types: assert is_subtype(bool_rprimitive, rt) def test_int64(self) -> None: assert is_subtype(int64_rprimitive, int64_rprimitive) assert is_subtype(int64_rprimitive, int_rprimitive) assert not is_subtype(int64_rprimitive, short_int_rprimitive) assert not is_subtype(int64_rprimitive, int32_rprimitive) assert not is_subtype(int64_rprimitive, int16_rprimitive) def test_int32(self) -> None: assert is_subtype(int32_rprimitive, int32_rprimitive) assert is_subtype(int32_rprimitive, int_rprimitive) assert not is_subtype(int32_rprimitive, short_int_rprimitive) assert not is_subtype(int32_rprimitive, int64_rprimitive) assert not is_subtype(int32_rprimitive, int16_rprimitive) def test_int16(self) -> None: assert is_subtype(int16_rprimitive, int16_rprimitive) assert is_subtype(int16_rprimitive, int_rprimitive) assert not is_subtype(int16_rprimitive, short_int_rprimitive) assert not is_subtype(int16_rprimitive, int64_rprimitive) assert not is_subtype(int16_rprimitive, int32_rprimitive) class TestRuntimeSubtype(unittest.TestCase): def test_bit(self) -> None: assert is_runtime_subtype(bit_rprimitive, bool_rprimitive) assert not is_runtime_subtype(bit_rprimitive, int_rprimitive) def test_bool(self) -> None: assert not is_runtime_subtype(bool_rprimitive, bit_rprimitive) assert not is_runtime_subtype(bool_rprimitive, int_rprimitive) def test_union(self) -> None: bool_int_mix = RUnion([bool_rprimitive, int_rprimitive]) assert not is_runtime_subtype(bool_int_mix, short_int_rprimitive) assert not is_runtime_subtype(bool_int_mix, int_rprimitive) assert not is_runtime_subtype(short_int_rprimitive, bool_int_mix) assert not is_runtime_subtype(int_rprimitive, bool_int_mix) class TestUnionSimplification(unittest.TestCase): def test_simple_type_result(self) -> None: assert RUnion.make_simplified_union([int_rprimitive]) == int_rprimitive def test_remove_duplicate(self) -> None: assert RUnion.make_simplified_union([int_rprimitive, int_rprimitive]) == int_rprimitive def test_cannot_simplify(self) -> None: assert RUnion.make_simplified_union( [int_rprimitive, str_rprimitive, object_rprimitive] ) == RUnion([int_rprimitive, str_rprimitive, object_rprimitive]) def test_nested(self) -> None: assert RUnion.make_simplified_union( [int_rprimitive, RUnion([str_rprimitive, int_rprimitive])] ) == RUnion([int_rprimitive, str_rprimitive]) assert RUnion.make_simplified_union( [int_rprimitive, RUnion([str_rprimitive, RUnion([int_rprimitive])])] ) == RUnion([int_rprimitive, str_rprimitive]) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test/testutil.py0000644000175100017510000002301215112307767016624 0ustar00runnerrunner"""Helpers for writing tests""" from __future__ import annotations import contextlib import os import os.path import re import shutil from collections.abc import Iterator from typing import Callable from mypy import build from mypy.errors import CompileError from mypy.nodes import Expression, MypyFile from mypy.options import Options from mypy.test.config import test_temp_dir from mypy.test.data import DataDrivenTestCase, DataSuite from mypy.test.helpers import assert_string_arrays_equal from mypy.types import Type from mypyc.analysis.ircheck import assert_func_ir_valid from mypyc.common import IS_32_BIT_PLATFORM, PLATFORM_SIZE from mypyc.errors import Errors from mypyc.ir.func_ir import FuncIR from mypyc.ir.module_ir import ModuleIR from mypyc.irbuild.main import build_ir from mypyc.irbuild.mapper import Mapper from mypyc.options import CompilerOptions from mypyc.test.config import test_data_prefix # The builtins stub used during icode generation test cases. ICODE_GEN_BUILTINS = os.path.join(test_data_prefix, "fixtures/ir.py") # The testutil support library TESTUTIL_PATH = os.path.join(test_data_prefix, "fixtures/testutil.py") class MypycDataSuite(DataSuite): # Need to list no files, since this will be picked up as a suite of tests files: list[str] = [] data_prefix = test_data_prefix def builtins_wrapper( func: Callable[[DataDrivenTestCase], None], path: str ) -> Callable[[DataDrivenTestCase], None]: """Decorate a function that implements a data-driven test case to copy an alternative builtins module implementation in place before performing the test case. Clean up after executing the test case. """ return lambda testcase: perform_test(func, path, testcase) @contextlib.contextmanager def use_custom_builtins(builtins_path: str, testcase: DataDrivenTestCase) -> Iterator[None]: for path, _ in testcase.files: if os.path.basename(path) == "builtins.pyi": default_builtins = False break else: # Use default builtins. builtins = os.path.abspath(os.path.join(test_temp_dir, "builtins.pyi")) shutil.copyfile(builtins_path, builtins) default_builtins = True # Actually perform the test case. try: yield None finally: if default_builtins: # Clean up. os.remove(builtins) def perform_test( func: Callable[[DataDrivenTestCase], None], builtins_path: str, testcase: DataDrivenTestCase ) -> None: for path, _ in testcase.files: if os.path.basename(path) == "builtins.py": default_builtins = False break else: # Use default builtins. builtins = os.path.join(test_temp_dir, "builtins.py") shutil.copyfile(builtins_path, builtins) default_builtins = True # Actually perform the test case. func(testcase) if default_builtins: # Clean up. os.remove(builtins) def build_ir_for_single_file( input_lines: list[str], compiler_options: CompilerOptions | None = None ) -> list[FuncIR]: return build_ir_for_single_file2(input_lines, compiler_options)[0].functions def build_ir_for_single_file2( input_lines: list[str], compiler_options: CompilerOptions | None = None ) -> tuple[ModuleIR, MypyFile, dict[Expression, Type], Mapper]: program_text = "\n".join(input_lines) # By default generate IR compatible with the earliest supported Python C API. # If a test needs more recent API features, this should be overridden. compiler_options = compiler_options or CompilerOptions(capi_version=(3, 9)) options = Options() options.show_traceback = True options.hide_error_codes = True options.use_builtins_fixtures = True options.strict_optional = True options.python_version = compiler_options.python_version or (3, 9) options.export_types = True options.preserve_asts = True options.allow_empty_bodies = True options.per_module_options["__main__"] = {"mypyc": True} source = build.BuildSource("main", "__main__", program_text) # Construct input as a single single. # Parse and type check the input program. result = build.build(sources=[source], options=options, alt_lib_path=test_temp_dir) if result.errors: raise CompileError(result.errors) errors = Errors(options) mapper = Mapper({"__main__": None}) modules = build_ir( [result.files["__main__"]], result.graph, result.types, mapper, compiler_options, errors ) if errors.num_errors: raise CompileError(errors.new_messages()) module = list(modules.values())[0] for fn in module.functions: assert_func_ir_valid(fn) tree = result.graph[module.fullname].tree assert tree is not None return module, tree, result.types, mapper def update_testcase_output(testcase: DataDrivenTestCase, output: list[str]) -> None: # TODO: backport this to mypy assert testcase.old_cwd is not None, "test was not properly set up" testcase_path = os.path.join(testcase.old_cwd, testcase.file) with open(testcase_path) as f: data_lines = f.read().splitlines() # We can't rely on the test line numbers to *find* the test, since # we might fix multiple tests in a run. So find it by the case # header. Give up if there are multiple tests with the same name. test_slug = f"[case {testcase.name}]" if data_lines.count(test_slug) != 1: return start_idx = data_lines.index(test_slug) stop_idx = start_idx + 11 while stop_idx < len(data_lines) and not data_lines[stop_idx].startswith("[case "): stop_idx += 1 test = data_lines[start_idx:stop_idx] out_start = test.index("[out]") test[out_start + 1 :] = output data_lines[start_idx:stop_idx] = test + [""] data = "\n".join(data_lines) with open(testcase_path, "w") as f: print(data, file=f) def assert_test_output( testcase: DataDrivenTestCase, actual: list[str], message: str, expected: list[str] | None = None, formatted: list[str] | None = None, ) -> None: __tracebackhide__ = True expected_output = expected if expected is not None else testcase.output if expected_output != actual and testcase.config.getoption("--update-data", False): update_testcase_output(testcase, actual) assert_string_arrays_equal( expected_output, actual, f"{message} ({testcase.file}, line {testcase.line})" ) def get_func_names(expected: list[str]) -> list[str]: res = [] for s in expected: m = re.match(r"def ([_a-zA-Z0-9.*$]+)\(", s) if m: res.append(m.group(1)) return res def remove_comment_lines(a: list[str]) -> list[str]: """Return a copy of array with comments removed. Lines starting with '--' (but not with '---') are removed. """ r = [] for s in a: if s.strip().startswith("--") and not s.strip().startswith("---"): pass else: r.append(s) return r def print_with_line_numbers(s: str) -> None: lines = s.splitlines() for i, line in enumerate(lines): print("%-4d %s" % (i + 1, line)) def heading(text: str) -> None: print("=" * 20 + " " + text + " " + "=" * 20) def show_c(cfiles: list[list[tuple[str, str]]]) -> None: heading("Generated C") for group in cfiles: for cfile, ctext in group: print(f"== {cfile} ==") print_with_line_numbers(ctext) heading("End C") def fudge_dir_mtimes(dir: str, delta: int) -> None: for dirpath, _, filenames in os.walk(dir): for name in filenames: path = os.path.join(dirpath, name) new_mtime = os.stat(path).st_mtime + delta os.utime(path, times=(new_mtime, new_mtime)) def replace_word_size(text: list[str]) -> list[str]: """Replace WORDSIZE with platform specific word sizes""" result = [] for line in text: index = line.find("WORD_SIZE") if index != -1: # get 'WORDSIZE*n' token word_size_token = line[index:].split()[0] n = int(word_size_token[10:]) replace_str = str(PLATFORM_SIZE * n) result.append(line.replace(word_size_token, replace_str)) else: result.append(line) return result def infer_ir_build_options_from_test_name(name: str) -> CompilerOptions | None: """Look for magic substrings in test case name to set compiler options. Return None if the test case should be skipped (always pass). Supported naming conventions: *_64bit*: Run test case only on 64-bit platforms *_32bit*: Run test caseonly on 32-bit platforms *_python3_8* (or for any Python version): Use Python 3.8+ C API features (default: lowest supported version) *StripAssert*: Don't generate code for assert statements """ # If this is specific to some bit width, always pass if platform doesn't match. if "_64bit" in name and IS_32_BIT_PLATFORM: return None if "_32bit" in name and not IS_32_BIT_PLATFORM: return None options = CompilerOptions(strip_asserts="StripAssert" in name, capi_version=(3, 9)) # A suffix like _python3_9 is used to set the target C API version. m = re.search(r"_python([3-9]+)_([0-9]+)(_|\b)", name) if m: options.capi_version = (int(m.group(1)), int(m.group(2))) options.python_version = options.capi_version elif "_py" in name or "_Python" in name: assert False, f"Invalid _py* suffix (should be _pythonX_Y): {name}" if re.search("_experimental(_|$)", name): options.experimental_features = True return options ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.677766 mypy-1.19.0/mypyc/test-data/0000755000175100017510000000000015112310012015257 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/alwaysdefined.test0000644000175100017510000003557215112307767021042 0ustar00runnerrunner-- Test cases for always defined attributes. -- -- If class C has attributes x and y that are always defined, the output will -- have a line like this: -- -- C: [x, y] [case testAlwaysDefinedSimple] class C: def __init__(self, x: int) -> None: self.x = x [out] C: [x] [case testAlwaysDefinedFail] class MethodCall: def __init__(self, x: int) -> None: self.f() self.x = x def f(self) -> None: pass class FuncCall: def __init__(self, x: int) -> None: f(x) self.x = x f(self) self.y = x class GetAttr: x: int def __init__(self, x: int) -> None: a = self.x self.x = x class _Base: def __init__(self) -> None: f(self) class CallSuper(_Base): def __init__(self, x: int) -> None: super().__init__() self.x = x class Lambda: def __init__(self, x: int) -> None: f = lambda x: x + 1 self.x = x g = lambda x: self self.y = x class If: def __init__(self, x: int) -> None: self.a = 1 if x: self.x = x else: self.y = 1 class Deletable: __deletable__ = ('x', 'y') def __init__(self) -> None: self.x = 0 self.y = 1 self.z = 2 class PrimitiveWithSelf: def __init__(self, s: str) -> None: self.x = getattr(self, s) def f(a) -> None: pass [out] MethodCall: [] FuncCall: [x] GetAttr: [] CallSuper: [] Lambda: [] If: [a] Deletable: [z] PrimitiveWithSelf: [] [case testAlwaysDefinedConditional] class IfAlways: def __init__(self, x: int, y: int) -> None: if x: self.x = x self.y = y elif y: self.x = y self.y = x else: self.x = 0 self.y = 0 self.z = 0 class IfSometimes1: def __init__(self, x: int, y: int) -> None: if x: self.x = x self.y = y elif y: self.z = y self.y = x else: self.y = 0 self.a = 0 class IfSometimes2: def __init__(self, x: int, y: int) -> None: if x: self.x = x self.y = y class IfStopAnalysis1: def __init__(self, x: int, y: int) -> None: if x: self.x = x f(self) else: self.x = x self.y = y class IfStopAnalysis2: def __init__(self, x: int, y: int) -> None: if x: self.x = x else: self.x = x f(self) self.y = y class IfStopAnalysis3: def __init__(self, x: int, y: int) -> None: if x: self.x = x else: f(self) self.x = x self.y = y class IfConditionalAndNonConditional1: def __init__(self, x: int) -> None: self.x = 0 if x: self.x = x class IfConditionalAndNonConditional2: def __init__(self, x: int) -> None: # x is not considered always defined, since the second assignment may # either initialize or update. if x: self.x = x self.x = 0 def f(a) -> None: pass [out] IfAlways: [x, y, z] IfSometimes1: [y] IfSometimes2: [y] IfStopAnalysis1: [x] IfStopAnalysis2: [x] IfStopAnalysis3: [] IfConditionalAndNonConditional1: [x] IfConditionalAndNonConditional2: [] [case testAlwaysDefinedExpressions] from typing import Dict, Final, List, Set, Optional, cast import other class C: pass class Collections: def __init__(self, x: int) -> None: self.l = [x] self.d: Dict[str, str] = {} self.s: Set[int] = set() self.d2 = {'x': x} self.s2 = {x} self.l2 = [f(), None] * x self.t = tuple(self.l2) class Comparisons: def __init__(self, y: int, c: C, s: str, o: Optional[str]) -> None: self.n1 = y < 5 self.n2 = y == 5 self.c1 = y is c self.c2 = y is not c self.o1 = o is None self.o2 = o is not None self.s = s < 'x' class BinaryOps: def __init__(self, x: int, s: str) -> None: self.a = x + 2 self.b = x & 2 self.c = x * 2 self.d = -x self.e = 'x' + s self.f = x << x g = 2 class LocalsAndGlobals: def __init__(self, x: int) -> None: t = x + 1 self.a = t - t self.g = g class Booleans: def __init__(self, x: int, b: bool) -> None: self.a = True self.b = False self.c = not b self.d = b or b self.e = b and b F: Final = 3 class ModuleFinal: def __init__(self) -> None: self.a = F self.b = other.Y class ClassFinal: F: Final = 3 def __init__(self) -> None: self.a = ClassFinal.F class Literals: def __init__(self) -> None: self.a = 'x' self.b = b'x' self.c = 2.2 class ListComprehension: def __init__(self, x: List[int]) -> None: self.a = [i + 1 for i in x] class Helper: def __init__(self, arg) -> None: self.x = 0 def foo(self, arg) -> int: return 1 class AttrAccess: def __init__(self, o: Helper) -> None: self.x = o.x o.x = o.x + 1 self.y = o.foo(self.x) o.foo(self) self.z = 1 class Construct: def __init__(self) -> None: self.x = Helper(1) self.y = Helper(self) class IsInstance: def __init__(self, x: object) -> None: if isinstance(x, str): self.x = 0 elif isinstance(x, Helper): self.x = 1 elif isinstance(x, (list, tuple)): self.x = 2 else: self.x = 3 class Cast: def __init__(self, x: object) -> None: self.x = cast(int, x) self.s = cast(str, x) self.c = cast(Cast, x) class PropertyAccessGetter: def __init__(self, other: PropertyAccessGetter) -> None: self.x = other.p self.y = 1 self.z = self.p @property def p(self) -> int: return 0 class PropertyAccessSetter: def __init__(self, other: PropertyAccessSetter) -> None: other.p = 1 self.y = 1 self.z = self.p @property def p(self) -> int: return 0 @p.setter def p(self, x: int) -> None: pass def f() -> int: return 0 [file other.py] # Not compiled from typing import Final Y: Final = 3 [out] C: [] Collections: [d, d2, l, l2, s, s2, t] Comparisons: [c1, c2, n1, n2, o1, o2, s] BinaryOps: [a, b, c, d, e, f] LocalsAndGlobals: [a, g] Booleans: [a, b, c, d, e] ModuleFinal: [a, b] ClassFinal: [F, a] Literals: [a, b, c] ListComprehension: [a] Helper: [x] AttrAccess: [x, y] Construct: [x] IsInstance: [x] Cast: [c, s, x] PropertyAccessGetter: [x, y] PropertyAccessSetter: [y] [case testAlwaysDefinedExpressions2] from typing import List, Tuple class C: def __init__(self) -> None: self.x = 0 class AttributeRef: def __init__(self, c: C) -> None: self.aa = c.x self.bb = self.aa if c is not None: self.z = 0 self.cc = 0 self.dd = self.z class ListOps: def __init__(self, x: List[int], n: int) -> None: self.a = len(x) self.b = x[n] self.c = [y + 1 for y in x] class TupleOps: def __init__(self, t: Tuple[int, str]) -> None: x, y = t self.x = x self.y = t[0] s = x, y self.z = s class IfExpr: def __init__(self, x: int) -> None: self.a = 1 if x < 5 else 2 class Base: def __init__(self, x: int) -> None: self.x = x class Derived1(Base): def __init__(self, y: int) -> None: self.aa = y super().__init__(y) self.bb = y class Derived2(Base): pass class Conditionals: def __init__(self, b: bool, n: int) -> None: if not (n == 5 or n >= n + 1): self.a = b else: self.a = not b if b: self.b = 2 else: self.b = 4 [out] C: [x] AttributeRef: [aa, bb, cc, dd] ListOps: [a, b, c] TupleOps: [x, y, z] IfExpr: [a] Base: [x] Derived1: [aa, bb, x] Derived2: [x] Conditionals: [a, b] [case testAlwaysDefinedStatements] from typing import Any, List, Optional, Iterable class Return: def __init__(self, x: int) -> None: self.x = x if x > 5: self.y = 1 return self.y = 2 self.z = x class While: def __init__(self, x: int) -> None: n = 2 while x > 0: n *=2 x -= 1 self.a = n while x < 5: self.b = 1 self.b += 1 class Try: def __init__(self, x: List[int]) -> None: self.a = 0 try: self.b = x[0] except: self.c = x self.d = 0 try: self.e = x[0] except: self.e = 1 class TryFinally: def __init__(self, x: List[int]) -> None: self.a = 0 try: self.b = x[0] finally: self.c = x self.d = 0 try: self.e = x[0] finally: self.e = 1 class Assert: def __init__(self, x: Optional[str], y: int) -> None: assert x is not None assert y < 5 self.a = x class For: def __init__(self, it: Iterable[int]) -> None: self.x = 0 for x in it: self.x += x for x in it: self.y = x class Assignment1: def __init__(self, other: Assignment1) -> None: self.x = 0 self = other # Give up after assignment to self self.y = 1 class Assignment2: def __init__(self) -> None: self.x = 0 other = self # Give up after self is aliased self.y = other.x class With: def __init__(self, x: Any) -> None: self.a = 0 with x: self.b = 1 self.c = 2 def f() -> None: pass [out] Return: [x, y] While: [a] -- We could infer 'e' as always defined, but this is tricky, since always defined attribute -- analysis must be performed earlier than exception handling transform. This would be -- easy to infer *after* exception handling transform. Try: [a, d] -- Again, 'e' could be always defined, but it would be a bit tricky to do it. TryFinally: [a, c, d] Assert: [a] For: [x] Assignment1: [x] Assignment2: [x] -- TODO: Why is not 'b' included? With: [a, c] [case testAlwaysDefinedAttributeDefaults] class Basic: x = 0 class ClassBodyAndInit: x = 0 s = 'x' def __init__(self, n: int) -> None: self.n = 0 class AttrWithDefaultAndInit: x = 0 def __init__(self, x: int) -> None: self.x = x class Base: x = 0 y = 1 class Derived(Base): y = 2 z = 3 [out] Basic: [x] ClassBodyAndInit: [n, s, x] AttrWithDefaultAndInit: [x] Base: [x, y] Derived: [x, y, z] [case testAlwaysDefinedWithInheritance] class Base: def __init__(self, x: int) -> None: self.x = x class Deriv1(Base): def __init__(self, x: int, y: str) -> None: super().__init__(x) self.y = y class Deriv2(Base): def __init__(self, x: int, y: str) -> None: self.y = y super().__init__(x) class Deriv22(Deriv2): def __init__(self, x: int, y: str, z: bool) -> None: super().__init__(x, y) self.z = False class Deriv3(Base): def __init__(self) -> None: super().__init__(1) class Deriv4(Base): def __init__(self) -> None: self.y = 1 self.x = 2 def f(a): pass class BaseUnsafe: def __init__(self, x: int, y: int) -> None: self.x = x f(self) # Unknown function self.y = y class DerivUnsafe(BaseUnsafe): def __init__(self, z: int, zz: int) -> None: self.z = z super().__init__(1, 2) # Calls unknown function self.zz = zz class BaseWithDefault: x = 1 def __init__(self) -> None: self.y = 1 class DerivedWithDefault(BaseWithDefault): def __init__(self) -> None: super().__init__() self.z = 1 class AlwaysDefinedInBase: def __init__(self) -> None: self.x = 1 self.y = 1 class UndefinedInDerived(AlwaysDefinedInBase): def __init__(self, x: bool) -> None: self.x = 1 if x: self.y = 2 class UndefinedInDerived2(UndefinedInDerived): def __init__(self, x: bool): if x: self.y = 2 [out] Base: [x] Deriv1: [x, y] Deriv2: [x, y] Deriv22: [x, y, z] Deriv3: [x] Deriv4: [x, y] BaseUnsafe: [x] DerivUnsafe: [x, z] BaseWithDefault: [x, y] DerivedWithDefault: [x, y, z] AlwaysDefinedInBase: [] UndefinedInDerived: [] UndefinedInDerived2: [] [case testAlwaysDefinedWithInheritance2] from mypy_extensions import trait, mypyc_attr from interpreted import PythonBase class BasePartiallyDefined: def __init__(self, x: int) -> None: self.a = 0 if x: self.x = x class Derived1(BasePartiallyDefined): def __init__(self, x: int) -> None: super().__init__(x) self.y = x class BaseUndefined: x: int class DerivedAlwaysDefined(BaseUndefined): def __init__(self) -> None: super().__init__() self.z = 0 self.x = 2 @trait class MyTrait: def f(self) -> None: pass class SimpleTraitImpl(MyTrait): def __init__(self) -> None: super().__init__() self.x = 0 @trait class TraitWithAttr: x: int y: str class TraitWithAttrImpl(TraitWithAttr): def __init__(self) -> None: self.y = 'x' @trait class TraitWithAttr2: z: int class TraitWithAttrImpl2(TraitWithAttr, TraitWithAttr2): def __init__(self) -> None: self.y = 'x' self.z = 2 @mypyc_attr(allow_interpreted_subclasses=True) class BaseWithGeneralSubclassing: x = 0 y: int def __init__(self, s: str) -> None: self.s = s class Derived2(BaseWithGeneralSubclassing): def __init__(self) -> None: super().__init__('x') self.z = 0 class SubclassPythonclass(PythonBase): def __init__(self) -> None: self.y = 1 class BaseWithSometimesDefined: def __init__(self, b: bool) -> None: if b: self.x = 0 class Derived3(BaseWithSometimesDefined): def __init__(self, b: bool) -> None: super().__init__(b) self.x = 1 [file interpreted.py] class PythonBase: def __init__(self) -> None: self.x = 0 [out] BasePartiallyDefined: [a] Derived1: [a, y] BaseUndefined: [] DerivedAlwaysDefined: [x, z] MyTrait: [] SimpleTraitImpl: [x] TraitWithAttr: [] TraitWithAttrImpl: [y] TraitWithAttr2: [] TraitWithAttrImpl2: [y, z] BaseWithGeneralSubclassing: [] -- TODO: 's' could also be always defined Derived2: [x, z] -- Always defined attribute analysis is turned off when inheriting a non-native class. SubclassPythonclass: [] BaseWithSometimesDefined: [] -- TODO: 'x' could also be always defined, but it is a bit tricky to support Derived3: [] [case testAlwaysDefinedWithNesting] class NestedFunc: def __init__(self) -> None: self.x = 0 def f() -> None: self.y = 0 f() self.z = 1 [out] -- TODO: Support nested functions. NestedFunc: [] f___init___NestedFunc_obj: [] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/analysis.test0000644000175100017510000002341715112307767020041 0ustar00runnerrunner-- Test cases for data flow analysis. [case testSimple_MaybeDefined] def f(a: int) -> None: x = 1 if x == a: y = 1 else: z = 1 [out] def f(a): a, x :: int r0 :: bit y, z :: int L0: x = 2 r0 = int_eq x, a if r0 goto L1 else goto L2 :: bool L1: y = 2 goto L3 L2: z = 2 L3: return 1 (0, 0) {a} {a, x} (0, 1) {a, x} {a, x} (0, 2) {a, x} {a, x} (1, 0) {a, x} {a, x, y} (1, 1) {a, x, y} {a, x, y} (2, 0) {a, x} {a, x, z} (2, 1) {a, x, z} {a, x, z} (3, 0) {a, x, y, z} {a, x, y, z} [case testSimple_Liveness] def f(a: int) -> int: x = 1 if x == 1: return a else: return x [out] def f(a): a, x :: int r0 :: bit L0: x = 2 r0 = int_eq x, 2 if r0 goto L1 else goto L2 :: bool L1: return a L2: return x L3: unreachable (0, 0) {a} {a, x} (0, 1) {a, x} {a, r0, x} (0, 2) {a, r0, x} {a, x} (1, 0) {a} {} (2, 0) {x} {} (3, 0) {} {} [case testSpecial_Liveness] def f() -> int: x = 1 y = 1 x = 2 return x [out] def f(): x, y :: int L0: x = 2 y = 2 x = 4 return x (0, 0) {} {} (0, 1) {} {} (0, 2) {} {x} (0, 3) {x} {} [case testSpecial2_Liveness] def f(a: int) -> int: a = 1 a = 2 a = 3 return a [out] def f(a): a :: int L0: a = 2 a = 4 a = 6 return a (0, 0) {} {} (0, 1) {} {} (0, 2) {} {a} (0, 3) {a} {} [case testSimple_MustDefined] def f(a: int) -> None: if a == 1: y = 1 x = 2 else: x = 2 [out] def f(a): a :: int r0 :: bit y, x :: int L0: r0 = int_eq a, 2 if r0 goto L1 else goto L2 :: bool L1: y = 2 x = 4 goto L3 L2: x = 4 L3: return 1 (0, 0) {a} {a} (0, 1) {a} {a} (1, 0) {a} {a, y} (1, 1) {a, y} {a, x, y} (1, 2) {a, x, y} {a, x, y} (2, 0) {a} {a, x} (2, 1) {a, x} {a, x} (3, 0) {a, x} {a, x} [case testTwoArgs_MustDefined] def f(x: int, y: int) -> int: return x [out] def f(x, y): x, y :: int L0: return x (0, 0) {x, y} {x, y} [case testLoop_MustDefined] def f(n: int) -> None: while n < 5: n = n + 1 m = n [out] def f(n): n :: int r0 :: bit r1, m :: int L0: L1: r0 = int_lt n, 10 if r0 goto L2 else goto L3 :: bool L2: r1 = CPyTagged_Add(n, 2) n = r1 m = n goto L1 L3: return 1 (0, 0) {n} {n} (1, 0) {n} {n} (1, 1) {n} {n} (2, 0) {n} {n} (2, 1) {n} {n} (2, 2) {n} {m, n} (2, 3) {m, n} {m, n} (3, 0) {n} {n} [case testMultiPass_Liveness] def f(n: int) -> None: x = 1 y = 1 while n < 1: n = y while n < 2: n = 1 n = x [out] def f(n): n, x, y :: int r0, r1 :: bit L0: x = 2 y = 2 L1: r0 = int_lt n, 2 if r0 goto L2 else goto L6 :: bool L2: n = y L3: r1 = int_lt n, 4 if r1 goto L4 else goto L5 :: bool L4: n = 2 n = x goto L3 L5: goto L1 L6: return 1 (0, 0) {n} {n, x} (0, 1) {n, x} {n, x, y} (0, 2) {n, x, y} {n, x, y} (1, 0) {n, x, y} {r0, x, y} (1, 1) {r0, x, y} {x, y} (2, 0) {x, y} {n, x, y} (2, 1) {n, x, y} {n, x, y} (3, 0) {n, x, y} {n, r1, x, y} (3, 1) {n, r1, x, y} {n, x, y} (4, 0) {x, y} {x, y} (4, 1) {x, y} {n, x, y} (4, 2) {n, x, y} {n, x, y} (5, 0) {n, x, y} {n, x, y} (6, 0) {} {} [case testCall_Liveness] def f(x: int) -> int: a = f(1) return f(a) + a [out] def f(x): x, r0, a, r1, r2, r3 :: int L0: r0 = f(2) if is_error(r0) goto L3 (error at f:2) else goto L1 L1: a = r0 r1 = f(a) if is_error(r1) goto L3 (error at f:3) else goto L2 L2: r2 = CPyTagged_Add(r1, a) return r2 L3: r3 = :: int return r3 (0, 0) {} {r0} (0, 1) {r0} {r0} (1, 0) {r0} {a} (1, 1) {a} {a, r1} (1, 2) {a, r1} {a, r1} (2, 0) {a, r1} {r2} (2, 1) {r2} {} (3, 0) {} {r3} (3, 1) {r3} {} [case testLoop_MaybeDefined] def f(a: int) -> None: while a < a: while a < a: y = a x = a [out] def f(a): a :: int r0, r1 :: bit y, x :: int L0: L1: r0 = int_lt a, a if r0 goto L2 else goto L6 :: bool L2: L3: r1 = int_lt a, a if r1 goto L4 else goto L5 :: bool L4: y = a goto L3 L5: x = a goto L1 L6: return 1 (0, 0) {a} {a} (1, 0) {a, x, y} {a, x, y} (1, 1) {a, x, y} {a, x, y} (2, 0) {a, x, y} {a, x, y} (3, 0) {a, x, y} {a, x, y} (3, 1) {a, x, y} {a, x, y} (4, 0) {a, x, y} {a, x, y} (4, 1) {a, x, y} {a, x, y} (5, 0) {a, x, y} {a, x, y} (5, 1) {a, x, y} {a, x, y} (6, 0) {a, x, y} {a, x, y} [case testTrivial_BorrowedArgument] def f(a: int, b: int) -> int: return b [out] def f(a, b): a, b :: int L0: return b (0, 0) {a, b} {a, b} [case testSimple_BorrowedArgument] def f(a: int) -> int: b = a a = 1 return a [out] def f(a): a, b :: int L0: b = a a = 2 return a (0, 0) {a} {a} (0, 1) {a} {} (0, 2) {} {} [case testConditional_BorrowedArgument] def f(a: int) -> int: if a == a: x = 2 a = 1 else: x = 1 return x [out] def f(a): a :: int r0 :: bit x :: int L0: r0 = int_eq a, a if r0 goto L1 else goto L2 :: bool L1: x = 4 a = 2 goto L3 L2: x = 2 L3: return x (0, 0) {a} {a} (0, 1) {a} {a} (1, 0) {a} {a} (1, 1) {a} {} (1, 2) {} {} (2, 0) {a} {a} (2, 1) {a} {a} (3, 0) {} {} [case testLoop_BorrowedArgument] def f(a: int) -> int: sum = 0 i = 0 while i <= a: sum = sum + i i = i + 1 return sum [out] def f(a): a, sum, i :: int r0 :: bit r1, r2 :: int L0: sum = 0 i = 0 L1: r0 = int_le i, a if r0 goto L2 else goto L3 :: bool L2: r1 = CPyTagged_Add(sum, i) sum = r1 r2 = CPyTagged_Add(i, 2) i = r2 goto L1 L3: return sum (0, 0) {a} {a} (0, 1) {a} {a} (0, 2) {a} {a} (1, 0) {a} {a} (1, 1) {a} {a} (2, 0) {a} {a} (2, 1) {a} {a} (2, 2) {a} {a} (2, 3) {a} {a} (2, 4) {a} {a} (3, 0) {a} {a} [case testError] def f(x: List[int]) -> None: pass # E: Name "List" is not defined \ # N: Did you forget to import it from "typing"? (Suggestion: "from typing import List") [case testExceptUndefined_Liveness] def lol(x: object) -> int: try: st = id(x) except Exception: return -1 return st + 1 [out] def lol(x): x :: object r0, st :: int r1 :: tuple[object, object, object] r2 :: object r3 :: str r4 :: object r5, r6 :: bit r7, r8 :: int L0: L1: r0 = CPyTagged_Id(x) st = r0 goto L10 L2: r1 = CPy_CatchError() r2 = builtins :: module r3 = 'Exception' r4 = CPyObject_GetAttr(r2, r3) if is_error(r4) goto L8 (error at lol:4) else goto L3 L3: r5 = CPy_ExceptionMatches(r4) if r5 goto L4 else goto L5 :: bool L4: CPy_RestoreExcInfo(r1) return -2 L5: CPy_Reraise() if not 0 goto L8 else goto L6 :: bool L6: unreachable L7: CPy_RestoreExcInfo(r1) goto L10 L8: CPy_RestoreExcInfo(r1) r6 = CPy_KeepPropagating() if not r6 goto L11 else goto L9 :: bool L9: unreachable L10: r7 = CPyTagged_Add(st, 2) return r7 L11: r8 = :: int return r8 (0, 0) {x} {x} (1, 0) {x} {r0} (1, 1) {r0} {st} (1, 2) {st} {st} (2, 0) {} {r1} (2, 1) {r1} {r1, r2} (2, 2) {r1, r2} {r1, r2, r3} (2, 3) {r1, r2, r3} {r1, r4} (2, 4) {r1, r4} {r1, r4} (3, 0) {r1, r4} {r1, r5} (3, 1) {r1, r5} {r1} (4, 0) {r1} {} (4, 1) {} {} (5, 0) {r1} {r1} (5, 1) {r1} {r1} (6, 0) {} {} (7, 0) {r1, st} {st} (7, 1) {st} {st} (8, 0) {r1} {} (8, 1) {} {r6} (8, 2) {r6} {} (9, 0) {} {} (10, 0) {st} {r7} (10, 1) {r7} {} (11, 0) {} {r8} (11, 1) {r8} {} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/annotate-basic.test0000644000175100017510000002765415112307767021115 0ustar00runnerrunner[case testAnnotateNonNativeAttribute] from typing import Any def f1(x): return x.foo # A: Get non-native attribute "foo". def f2(x: Any) -> object: return x.foo # A: Get non-native attribute "foo". def f3(x): x.bar = 1 # A: Set non-native attribute "bar". class C: foo: int def method(self) -> int: return self.foo def good1(x: C) -> int: return x.foo [case testAnnotateMethod] class C: def method(self, x): return x + "y" # A: Generic "+" operation. [case testAnnotateGenericBinaryOperations] def generic_add(x): return x + 1 # A: Generic "+" operation. def generic_sub(x): return x - 1 # A: Generic "-" operation. def generic_mul(x): return x * 1 # A: Generic "*" operation. def generic_div(x): return x / 1 # A: Generic "/" operation. def generic_floor_div(x): return x // 1 # A: Generic "//" operation. def generic_unary_plus(x): return +x # A: Generic unary "+" operation. def generic_unary_minus(x): return -x # A: Generic unary "-" operation. def native_int_ops(x: int, y: int) -> int: a = x + 1 - y return x * a // y [case testAnnotateGenericBitwiseOperations] def generic_and(x): return x & 1 # A: Generic "&" operation. def generic_or(x): return x | 1 # A: Generic "|" operation. def generic_xor(x): return x ^ 1 # A: Generic "^" operation. def generic_left_shift(x): return x << 1 # A: Generic "<<" operation. def generic_right_shift(x): return x >> 1 # A: Generic ">>" operation. def generic_invert(x): return ~x # A: Generic "~" operation. def native_int_ops(x: int, y: int) -> int: a = (x & 1) << y return (x | a) >> (y ^ 1) [case testAnnotateGenericComparisonOperations] def generic_eq(x, y): return x == y # A: Generic comparison operation. def generic_ne(x, y): return x != y # A: Generic comparison operation. def generic_lt(x, y): return x < y # A: Generic comparison operation. def generic_le(x, y): return x <= y # A: Generic comparison operation. def generic_gt(x, y): return x > y # A: Generic comparison operation. def generic_ge(x, y): return x >= y # A: Generic comparison operation. def int_comparisons(x: int, y: int) -> int: if x == y: return 0 if x < y: return 1 if x > y: return 2 return 3 [case testAnnotateTwoOperationsOnLine] def f(x): return x.foo + 1 # A: Get non-native attribute "foo". Generic "+" operation. [case testAnnotateNonNativeMethod] from typing import Any def f1(x): return x.foo() # A: Call non-native method "foo" (it may be defined in a non-native class, or decorated). def f2(x: Any) -> None: x.foo(1) # A: Call non-native method "foo" (it may be defined in a non-native class, or decorated). x.foo(a=1) # A: Call non-native method "foo" (it may be defined in a non-native class, or decorated). t = (1, 'x') x.foo(*t) # A: Get non-native attribute "foo". Generic call operation. d = {"a": 1} x.foo(*d) # A: Get non-native attribute "foo". Generic call operation. class C: def foo(self) -> int: return 0 def g(c: C) -> int: return c.foo() [case testAnnotateGlobalVariableAccess] from typing import Final import nonnative x = 0 y: Final = 0 def read() -> int: return x # A: Access global "x" through namespace dictionary (hint: access is faster if you can make it Final). def assign(a: int) -> None: global x x = a # A: Access global "x" through namespace dictionary (hint: access is faster if you can make it Final). def read_final() -> int: return y def read_nonnative() -> int: return nonnative.z # A: Get non-native attribute "z". [file nonnative.py] z = 2 [case testAnnotateNestedFunction] def f1() -> None: def g() -> None: # A: A nested function object is allocated each time statement is executed. A module-level function would be faster. pass g() def f2() -> int: l = lambda: 1 # A: A new object is allocated for lambda each time it is evaluated. A module-level function would be faster. return l() [case testAnnotateGetSetItem] from typing import List, Dict def f1(x, y): return x[y] # A: Generic indexing operation. def f2(x, y, z): x[y] = z # A: Generic indexed assignment. def list_get_item(x: List[int], y: int) -> int: return x[y] def list_set_item(x: List[int], y: int) -> None: x[y] = 5 def dict_get_item(d: Dict[str, str]) -> str: return d['x'] def dict_set_item(d: Dict[str, str]) -> None: d['x'] = 'y' [case testAnnotateStrMethods] def startswith(x: str) -> bool: return x.startswith('foo') def islower(x: str) -> bool: return x.islower() # A: Call non-native method "islower" (it may be defined in a non-native class, or decorated). [case testAnnotateSpecificStdlibFeatures] import functools import itertools from functools import partial from itertools import chain, groupby, islice def f(x: int, y: int) -> None: pass def use_partial1() -> None: p = partial(f, 1) # A: "functools.partial" is inefficient in compiled code. p(2) def use_partial2() -> None: p = functools.partial(f, 1) # A: "functools.partial" is inefficient in compiled code. p(2) def use_chain1() -> None: for x in chain([1, 3], [4, 5]): # A: "itertools.chain" is inefficient in compiled code (hint: replace with for loops). pass def use_chain2() -> None: for x in itertools.chain([1, 3], [4, 5]): # A: "itertools.chain" is inefficient in compiled code (hint: replace with for loops). pass def use_groupby1() -> None: for a, b in groupby([('A', 'B')]): # A: "itertools.groupby" is inefficient in compiled code. pass def use_groupby2() -> None: for a, b in itertools.groupby([('A', 'B')]): # A: "itertools.groupby" is inefficient in compiled code. pass def use_islice() -> None: for x in islice([1, 2, 3], 1, 2): # A: "itertools.islice" is inefficient in compiled code (hint: replace with for loop over index range). pass [case testAnnotateGenericForLoop] from typing import Iterable, Sequence, Iterator, List def f1(a): for x in a: # A: For loop uses generic operations (iterable has type "Any"). pass def f2(a: Iterable[str]) -> None: for x in a: # A: For loop uses generic operations (iterable has the abstract type "typing.Iterable"). pass def f3(a: Sequence[str]) -> None: for x in a: # A: For loop uses generic operations (iterable has the abstract type "typing.Sequence"). pass def f4(a: Iterator[str]) -> None: for x in a: # A: For loop uses generic operations (iterable has the abstract type "typing.Iterator"). pass def good1(a: List[str]) -> None: for x in a: pass class C: def __iter__(self) -> Iterator[str]: assert False def good2(a: List[str]) -> None: for x in a: pass [case testAnnotateGenericComprehensionOrGenerator] from typing import List, Iterable def f1(a): return [x for x in a] # A: Comprehension or generator uses generic operations (iterable has type "Any"). def f2(a: Iterable[int]): return {x for x in a} # A: Comprehension or generator uses generic operations (iterable has the abstract type "typing.Iterable"). def f3(a): return {x: 1 for x in a} # A: Comprehension uses generic operations (iterable has type "Any"). def f4(a): return (x for x in a) # A: Comprehension or generator uses generic operations (iterable has type "Any"). def good1(a: List[int]) -> List[int]: return [x + 1 for x in a] [case testAnnotateIsinstance] from typing import Protocol, runtime_checkable, Union @runtime_checkable class P(Protocol): def foo(self) -> None: ... class C: pass class D(C): def bar(self) -> None: pass def bad1(x: object) -> bool: return isinstance(x, P) # A: Expensive isinstance() check against protocol "P". def bad2(x: object) -> bool: return isinstance(x, (str, P)) # A: Expensive isinstance() check against protocol "P". def good1(x: C) -> bool: if isinstance(x, D): x.bar() return isinstance(x, D) def good2(x: Union[int, str]) -> int: if isinstance(x, int): return x + 1 else: return int(x + "1") [typing fixtures/typing-full.pyi] [case testAnnotateDeepcopy] from typing import Any import copy def f(x: Any) -> Any: return copy.deepcopy(x) # A: "copy.deepcopy" tends to be slow. Make a shallow copy if possible. [case testAnnotateContextManager] from typing import Iterator from contextlib import contextmanager @contextmanager def slow_ctx_manager() -> Iterator[None]: yield class FastCtxManager: def __enter__(self) -> None: pass def __exit__(self, a, b, c) -> None: pass def f1(x) -> None: with slow_ctx_manager(): # A: "slow_ctx_manager" uses @contextmanager, which is slow in compiled code. Use a native class with "__enter__" and "__exit__" methods instead. x.foo # A: Get non-native attribute "foo". def f2(x) -> None: with FastCtxManager(): x.foo # A: Get non-native attribute "foo". [case testAnnotateAvoidNoiseAtTopLevel] from typing import Final class C(object): x = "s" y: Final = 1 x = "s" y: Final = 1 def f1() -> None: x = object # A: Get non-native attribute "object". [case testAnnotateCreateNonNativeInstance] from typing import NamedTuple from dataclasses import dataclass from nonnative import C def f1() -> None: c = C() # A: Creating an instance of non-native class "C" is slow. c.foo() # A: Call non-native method "foo" (it may be defined in a non-native class, or decorated). class NT(NamedTuple): x: int y: str def f2() -> int: o = NT(1, "x") # A: Creating an instance of non-native class "NT" is slow. return o.x def f3() -> int: o = NT(x=1, y="x") # A: Creating an instance of non-native class "NT" is slow. a, b = o return a @dataclass class D: x: int def f4() -> int: o = D(1) # A: Class "D" is only partially native, and constructing an instance is slow. return o.x class Nat: x: int class Deriv(Nat): def __init__(self, y: int) -> None: self.y = y def good1() -> int: n = Nat() d = Deriv(y=1) return n.x + d.x + d.y [file nonnative.py] class C: def foo(self) -> None: pass [case testAnnotateGetAttrAndSetAttrBuiltins] def f1(x, s: str): return getattr("x", s) # A: Dynamic attribute lookup. def f2(x, s: str): setattr(x, s, None) # A: Dynamic attribute set. [case testAnnotateSpecialAssignments] from typing import TypeVar, NamedTuple, List, TypedDict, NewType # Even though these are slow, we don't complain about them since there is generally # no better way (and at module top level these are very unlikely to be bottlenecks) A = List[int] T = TypeVar("T", bound=List[int]) NT = NamedTuple("NT", [("x", List[int])]) TD = TypedDict("TD", {"x": List[int]}) New = NewType("New", List[int]) [typing fixtures/typing-full.pyi] [case testAnnotateCallDecoratedNativeFunctionOrMethod] from typing import TypeVar, Callable, Any F = TypeVar("F", bound=Callable[..., Any]) def mydeco(f: F) -> F: return f @mydeco def d(x: int) -> int: return x def f1() -> int: return d(1) # A: Calling a decorated function ("d") is inefficient, even if it's native. class C: @mydeco def d(self) -> None: pass def f2() -> None: c = C() c.d() # A: Call non-native method "d" (it may be defined in a non-native class, or decorated). [case testAnnotateCallDifferentKindsOfMethods] from abc import ABC, abstractmethod class C: @staticmethod def s() -> None: ... @classmethod def c(cls) -> None: ... @property def p(self) -> int: return 0 @property def p2(self) -> int: return 0 @p2.setter def p2(self, x: int) -> None: pass def f1() -> int: c = C() c.s() c.c() c.p2 = 1 return c.p + c.p2 class A(ABC): @abstractmethod def m(self) -> int: raise NotImplementedError # A: Get non-native attribute "NotImplementedError". class D(A): def m(self) -> int: return 1 def f2() -> int: d = D() return d.m() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/commandline.test0000644000175100017510000001457115112307767020505 0ustar00runnerrunner-- Test cases for invoking mypyc on the command line -- -- These are slow -- do not add test cases unless you have a very good reason to do so. [case testCompileMypyc] # cmd: a.py b.py p/__init__.py p/q.py import os.path import p import p.q import a import b print('
', b.g(a.A())) try: a.f('') except TypeError: pass else: assert False for x in [a, b, p, p.q]: assert os.path.splitext(x.__file__)[1] != '.py' [file z.py] [file a.py] import b import c from p import s from typing import NamedTuple print('', ord('A') == 65) # Test full builtins class A: def __init__(self) -> None: self.x = 4 def f(x: int) -> b.B: return b.B(x) class B: def __init__(self, x: int, y: str) -> None: self.x = x print('', f(5).x) print('', c.foo()) assert s.bar(10) == 20 class NT(NamedTuple): x: int print(NT(2)) [file b.py] import a import p.q class B: def __init__(self, x: int) -> None: self.x = x def g(z: 'a.A') -> int: return p.q.foo(z.x) print('', 'here') [file c.py] def foo() -> int: return 10 [file p/__init__.py] [file p/q.py] import p.r def foo(x: int) -> int: return x*p.r.foo(x) [file p/r.py] def foo(x: int) -> int: return x [file p/s.py] def bar(x: int) -> int: return x*2 [out] here True 5 10 NT(x=2)
16 -- This test is here so we can turn it on when we get nervous about -- this case, but is disabled for speed reasons. [case testCompileMypycOne-skip] # cmd: a.py import os.path import a assert os.path.splitext(a.__file__)[1] != '.py' assert a.f(10) == 100 [file a.py] def f(x: int) -> int: return x*x [case testErrorOutput1] # cmd: test.py [file test.py] from functools import singledispatch from mypy_extensions import trait from typing import Any def decorator(x: Any) -> Any: return x class NeverMetaclass(type): # E: Inheriting from most builtin types is unimplemented \ # N: Potential workaround: @mypy_extensions.mypyc_attr(native_class=False) \ # N: https://mypyc.readthedocs.io/en/stable/native_classes.html#defining-non-native-classes pass class Concrete1: pass @trait class Trait1: pass class Concrete2: pass @decorator class NonExt(Concrete1): # E: Non-extension classes may not inherit from extension classes pass class NopeMultipleInheritanceAndBadOrder3(Trait1, Concrete1, Concrete2): # E: Non-trait base must appear first in parent list pass class NopeBadOrder(Trait1, Concrete2): # E: Non-trait base must appear first in parent list pass class Foo: pass @singledispatch def a(arg) -> None: pass @decorator # E: Calling decorator after registering function not supported @a.register def g(arg: int) -> None: pass @a.register @decorator def h(arg: str) -> None: pass @decorator @decorator # E: Calling decorator after registering function not supported @a.register def i(arg: Foo) -> None: pass [case testErrorOutput2] # cmd: test.py [file test.py] from typing import Final, List, Any, AsyncIterable from mypy_extensions import trait, mypyc_attr def busted(b: bool) -> None: for i in range(1, 10, 0): # E: range() step can't be zero try: if i == 5: break # E: break inside try/finally block is unimplemented elif i == 4: continue # E: continue inside try/finally block is unimplemented finally: print('oops') print(sum([1,2,3])) x = [1,2] class Foo: a, b = (10, 20) # E: Only assignment to variables is supported in class bodies x[0] = 10 # E: Only assignment to variables is supported in class bodies lol = 20 l = [10] # W: Unsupported default attribute value c = d = 50 # E: Multiple assignment in class bodies not supported if 1+1 == 2: # E: Unsupported statement in class body x = 10 Foo.lol = 50 # E: Only class variables defined as ClassVar can be assigned to def decorator(x: Any) -> Any: return x class Concrete1: pass @trait class PureTrait: pass @trait class Trait1: pass class Concrete2: pass @trait class Trait2(Concrete2): pass class NopeMultipleInheritance(Concrete1, Concrete2): # E: Multiple inheritance is not supported (except for traits) pass class NopeMultipleInheritanceAndBadOrder(Concrete1, Trait1, Concrete2): # E: Multiple inheritance is not supported (except for traits) pass class NopeMultipleInheritanceAndBadOrder2(Concrete1, Concrete2, Trait1): # E: Multiple inheritance is not supported (except for traits) pass @decorator class NonExt2: @property # E: Property setters not supported in non-extension classes def test(self) -> int: return 0 @test.setter def test(self, x: int) -> None: pass iterator_warning = (i+1 for i in range(10)) # W: Treating generator comprehension as list # But we don't want warnings for these cases: tup = tuple(i+1 for i in range(10)) a_str = " ".join(str(i) for i in range(10)) wtvr = next(i for i in range(10) if i == 5) d1 = {1: 2} # Since PR 18180, the following pattern should pose no problems anymore: def f(l: List[object]) -> None: x = None for i in l: if x is None: x = i @mypyc_attr(allow_interpreted_subclasses=True) class AllowInterp1(Concrete1): # E: Base class "test.Concrete1" does not allow interpreted subclasses pass @mypyc_attr(allow_interpreted_subclasses=True) class AllowInterp2(PureTrait): # E: Base class "test.PureTrait" does not allow interpreted subclasses pass async def async_generators() -> AsyncIterable[int]: yield 1 # E: async generators are unimplemented [case testOnlyWarningOutput] # cmd: test.py [file test.py] names = (str(v) for v in [1, 2, 3]) # W: Treating generator comprehension as list [case testSubPackage] # cmd: pkg/sub/foo.py from pkg.sub import foo [file pkg/__init__.py] [file pkg/sub/__init__.py] print("importing...") from . import foo print("done") [file pkg/sub/foo.py] print("imported foo") [out] importing... imported foo done [case testImportFromInitPy] # cmd: foo.py import foo [file pkg2/__init__.py] [file pkg2/mod2.py] class A: class B: pass [file pkg1/__init__.py] from pkg2.mod2 import A [file foo.py] import pkg1 from typing import TypedDict class Eggs(TypedDict): obj1: pkg1.A.B print(type(Eggs(obj1=pkg1.A.B())["obj1"]).__name__) print(type(Eggs(obj1=pkg1.A.B())["obj1"]).__module__) [out] B pkg2.mod2 ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6787663 mypy-1.19.0/mypyc/test-data/driver/0000755000175100017510000000000015112310012016552 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/driver/driver.py0000644000175100017510000000330615112307767020450 0ustar00runnerrunner"""Default driver for run tests (run-*.test). This imports the 'native' module (containing the compiled test cases) and calls each function starting with test_, and reports any exceptions as failures. Test cases can provide a custom driver.py that overrides this file. """ import sys import native import asyncio import inspect evloop = asyncio.new_event_loop() failures = [] tests_run = 0 for name in dir(native): if name.startswith('test_'): test_func = getattr(native, name) tests_run += 1 try: if inspect.iscoroutinefunction(test_func): evloop.run_until_complete(test_func) else: test_func() except Exception as e: failures.append((name, sys.exc_info())) if failures: from traceback import print_exception, format_tb import re def extract_line(tb): formatted = '\n'.join(format_tb(tb)) m = re.search('File "(native|driver).py", line ([0-9]+), in (test_|)', formatted) if m is None: return "0" return m.group(1) # Sort failures by line number of test function. failures = sorted(failures, key=lambda e: extract_line(e[1][2])) # If there are multiple failures, print stack traces of all but the final failure. for name, e in failures[:-1]: print(f'<< {name} >>') sys.stdout.flush() print_exception(*e) print() sys.stdout.flush() # Raise exception for the last failure. Test runner will show the traceback. print(f'<< {failures[-1][0]} >>') sys.stdout.flush() raise failures[-1][1][1] assert tests_run > 0, 'Default test driver did not find any functions prefixed "test_" to run.' ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/exceptions-freq.test0000644000175100017510000000411415112307767021323 0ustar00runnerrunner-- Test cases for basic block execution frequency analysis. -- -- These test cases are using exception transform test machinery for convenience. -- -- NOTE: These must all have the _freq suffix [case testSimpleError_freq] from typing import List def f(x: List[int]) -> int: return x[0] [out] def f(x): x :: list r0 :: object r1, r2 :: int L0: r0 = CPyList_GetItemShort(x, 0) if is_error(r0) goto L3 (error at f:3) else goto L1 L1: r1 = unbox(int, r0) dec_ref r0 if is_error(r1) goto L3 (error at f:3) else goto L2 L2: return r1 L3: r2 = :: int return r2 hot blocks: [0, 1, 2] [case testHotBranch_freq] from typing import List def f(x: bool) -> None: if x: y = 1 else: y = 2 [out] def f(x): x :: bool y :: int L0: if x goto L1 else goto L2 :: bool L1: y = 2 dec_ref y :: int goto L3 L2: y = 4 dec_ref y :: int L3: return 1 hot blocks: [0, 1, 2, 3] [case testGoto_freq] from typing import List def f(x: bool) -> int: if x: y = 1 else: return 2 return y [out] def f(x): x :: bool y :: int L0: if x goto L1 else goto L2 :: bool L1: y = 2 goto L3 L2: return 4 L3: return y hot blocks: [0, 1, 2, 3] [case testFalseOnError_freq] from typing import List def f(x: List[int]) -> None: x[0] = 1 [out] def f(x): x :: list r0 :: object r1 :: bit r2 :: None L0: r0 = object 1 inc_ref r0 r1 = CPyList_SetItem(x, 0, r0) if not r1 goto L2 (error at f:3) else goto L1 :: bool L1: return 1 L2: r2 = :: None return r2 hot blocks: [0, 1] [case testRareBranch_freq] from typing import Final x: Final = str() def f() -> str: return x [out] def f(): r0 :: str r1 :: bool r2 :: str L0: r0 = __main__.x :: static if is_error(r0) goto L1 else goto L3 L1: r1 = raise NameError('value for final name "x" was not set') if not r1 goto L4 (error at f:6) else goto L2 :: bool L2: unreachable L3: inc_ref r0 return r0 L4: r2 = :: str return r2 hot blocks: [0, 3] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/exceptions.test0000644000175100017510000003201315112307767020367 0ustar00runnerrunner-- Test cases for exception handling insertion transform. -- -- The result includes refcount handling since these two transforms interact. [case testListGetAndUnboxError] from typing import List def f(x: List[int]) -> int: return x[0] [out] def f(x): x :: list r0 :: object r1, r2 :: int L0: r0 = CPyList_GetItemShort(x, 0) if is_error(r0) goto L3 (error at f:3) else goto L1 L1: r1 = unbox(int, r0) dec_ref r0 if is_error(r1) goto L3 (error at f:3) else goto L2 L2: return r1 L3: r2 = :: int return r2 [case testListAppendAndSetItemError] from typing import List def f(x: List[int], y: int, z: int) -> None: x.append(y) x[y] = z [out] def f(x, y, z): x :: list y, z :: int r0 :: object r1 :: i32 r2 :: bit r3 :: object r4 :: bit r5 :: None L0: inc_ref y :: int r0 = box(int, y) r1 = PyList_Append(x, r0) dec_ref r0 r2 = r1 >= 0 :: signed if not r2 goto L3 (error at f:3) else goto L1 :: bool L1: inc_ref z :: int r3 = box(int, z) r4 = CPyList_SetItem(x, y, r3) if not r4 goto L3 (error at f:4) else goto L2 :: bool L2: return 1 L3: r5 = :: None return r5 [case testOptionalHandling] from typing import Optional class A: pass def f(x: Optional[A]) -> int: if x is None: return 1 if x is not None: return 2 return 3 [out] def f(x): x :: union[__main__.A, None] r0 :: object r1 :: bit r2 :: __main__.A r3 :: object r4 :: bit r5 :: int L0: r0 = load_address _Py_NoneStruct r1 = x == r0 if r1 goto L1 else goto L2 :: bool L1: return 2 L2: r2 = borrow cast(__main__.A, x) if is_error(r2) goto L6 (error at f:8) else goto L3 L3: r3 = load_address _Py_NoneStruct r4 = r2 != r3 if r4 goto L4 else goto L5 :: bool L4: return 4 L5: return 6 L6: r5 = :: int return r5 [case testListSum] from typing import List def sum(a: List[int], l: int) -> int: sum = 0 i = 0 while i < l: sum = sum + a[i] i = i + 1 return sum [out] def sum(a, l): a :: list l, sum, i :: int r0 :: bit r1 :: object r2, r3, r4, r5 :: int L0: sum = 0 i = 0 L1: r0 = int_lt i, l if r0 goto L2 else goto L7 :: bool L2: r1 = CPyList_GetItemBorrow(a, i) if is_error(r1) goto L8 (error at sum:6) else goto L3 L3: r2 = unbox(int, r1) if is_error(r2) goto L8 (error at sum:6) else goto L4 L4: r3 = CPyTagged_Add(sum, r2) dec_ref sum :: int dec_ref r2 :: int sum = r3 r4 = CPyTagged_Add(i, 2) dec_ref i :: int i = r4 goto L1 L5: return sum L6: r5 = :: int return r5 L7: dec_ref i :: int goto L5 L8: dec_ref sum :: int dec_ref i :: int goto L6 [case testTryExcept] def g() -> None: try: object() except: print("weeee") [out] def g(): r0 :: object r1 :: str r2, r3 :: object r4 :: tuple[object, object, object] r5 :: str r6 :: object r7 :: str r8 :: object r9 :: object[1] r10 :: object_ptr r11 :: object r12 :: bit r13 :: None L0: L1: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) if is_error(r2) goto L3 (error at g:3) else goto L2 L2: r3 = PyObject_Vectorcall(r2, 0, 0, 0) dec_ref r2 if is_error(r3) goto L3 (error at g:3) else goto L10 L3: r4 = CPy_CatchError() r5 = 'weeee' r6 = builtins :: module r7 = 'print' r8 = CPyObject_GetAttr(r6, r7) if is_error(r8) goto L6 (error at g:5) else goto L4 L4: r9 = [r5] r10 = load_address r9 r11 = PyObject_Vectorcall(r8, r10, 1, 0) dec_ref r8 if is_error(r11) goto L6 (error at g:5) else goto L11 L5: CPy_RestoreExcInfo(r4) dec_ref r4 goto L8 L6: CPy_RestoreExcInfo(r4) dec_ref r4 r12 = CPy_KeepPropagating() if not r12 goto L9 else goto L7 :: bool L7: unreachable L8: return 1 L9: r13 = :: None return r13 L10: dec_ref r3 goto L8 L11: dec_ref r11 goto L5 [case testGenopsTryFinally] def a() -> str: try: print() return 'hi' finally: print('goodbye!') [out] def a(): r0 :: object r1 :: str r2, r3 :: object r4, r5 :: str r6, r7 :: tuple[object, object, object] r8 :: str r9 :: tuple[object, object, object] r10 :: str r11 :: object r12 :: str r13 :: object r14 :: object[1] r15 :: object_ptr r16 :: object r17 :: bit r18 :: str L0: L1: r0 = builtins :: module r1 = 'print' r2 = CPyObject_GetAttr(r0, r1) if is_error(r2) goto L5 (error at a:3) else goto L2 L2: r3 = PyObject_Vectorcall(r2, 0, 0, 0) dec_ref r2 if is_error(r3) goto L5 (error at a:3) else goto L19 L3: r4 = 'hi' inc_ref r4 r5 = r4 L4: r6 = :: tuple[object, object, object] r7 = r6 goto L6 L5: r8 = :: str r5 = r8 r9 = CPy_CatchError() r7 = r9 L6: r10 = 'goodbye!' r11 = builtins :: module r12 = 'print' r13 = CPyObject_GetAttr(r11, r12) if is_error(r13) goto L20 (error at a:6) else goto L7 L7: r14 = [r10] r15 = load_address r14 r16 = PyObject_Vectorcall(r13, r15, 1, 0) dec_ref r13 if is_error(r16) goto L20 (error at a:6) else goto L21 L8: if is_error(r7) goto L11 else goto L22 L9: CPy_Reraise() if not 0 goto L13 else goto L23 :: bool L10: unreachable L11: if is_error(r5) goto L17 else goto L12 L12: return r5 L13: if is_error(r7) goto L15 else goto L14 L14: CPy_RestoreExcInfo(r7) xdec_ref r7 L15: r17 = CPy_KeepPropagating() if not r17 goto L18 else goto L16 :: bool L16: unreachable L17: unreachable L18: r18 = :: str return r18 L19: dec_ref r3 goto L3 L20: xdec_ref r5 goto L13 L21: dec_ref r16 goto L8 L22: xdec_ref r5 goto L9 L23: xdec_ref r7 goto L10 [case testDocstring1] def lol() -> None: """Hello""" pass [out] def lol(): L0: return 1 [case testExceptUndefined1] from typing import Any def lol(x: Any) -> object: try: st = x.foo except: return '' # No uninit check should be generated, since the exception branch always returns return st [out] def lol(x): x :: object r0 :: str r1, st :: object r2 :: tuple[object, object, object] r3 :: str L0: L1: r0 = 'foo' r1 = CPyObject_GetAttr(x, r0) if is_error(r1) goto L3 (error at lol:4) else goto L2 L2: st = r1 goto L4 L3: r2 = CPy_CatchError() r3 = '' CPy_RestoreExcInfo(r2) dec_ref r2 inc_ref r3 return r3 L4: return st [case testExceptUndefined2] from typing import Any def lol(x: Any) -> object: try: a = x.foo b = x.bar except: pass # uninit checks are needed, since the exception can skip initializing the vars return a + b [out] def lol(x): x, r0, a, r1, b :: object r2 :: str r3 :: object r4 :: str r5 :: object r6 :: tuple[object, object, object] r7, r8 :: bool r9, r10 :: object L0: r0 = :: object a = r0 r1 = :: object b = r1 L1: r2 = 'foo' r3 = CPyObject_GetAttr(x, r2) if is_error(r3) goto L4 (error at lol:4) else goto L15 L2: a = r3 r4 = 'bar' r5 = CPyObject_GetAttr(x, r4) if is_error(r5) goto L4 (error at lol:5) else goto L16 L3: b = r5 goto L6 L4: r6 = CPy_CatchError() L5: CPy_RestoreExcInfo(r6) dec_ref r6 L6: if is_error(a) goto L17 else goto L9 L7: r7 = raise UnboundLocalError('local variable "a" referenced before assignment') if not r7 goto L14 (error at lol:9) else goto L8 :: bool L8: unreachable L9: if is_error(b) goto L18 else goto L12 L10: r8 = raise UnboundLocalError('local variable "b" referenced before assignment') if not r8 goto L14 (error at lol:9) else goto L11 :: bool L11: unreachable L12: r9 = PyNumber_Add(a, b) xdec_ref a xdec_ref b if is_error(r9) goto L14 (error at lol:9) else goto L13 L13: return r9 L14: r10 = :: object return r10 L15: xdec_ref a goto L2 L16: xdec_ref b goto L3 L17: xdec_ref b goto L7 L18: xdec_ref a goto L10 [case testMaybeUninitVarExc] def f(b: bool) -> None: u = 'a' while b: v = 'b' if v is not u: break print(v) [out] def f(b): b :: bool r0, v, r1, u, r2 :: str r3, r4 :: bit r5 :: object r6 :: str r7 :: object r8 :: bool r9 :: object[1] r10 :: object_ptr r11 :: object r12 :: bool r13 :: None L0: r0 = :: str v = r0 r1 = 'a' inc_ref r1 u = r1 L1: if b goto L13 else goto L14 :: bool L2: r2 = 'b' inc_ref r2 v = r2 r3 = v == u r4 = r3 ^ 1 if r4 goto L14 else goto L1 :: bool L3: r5 = builtins :: module r6 = 'print' r7 = CPyObject_GetAttr(r5, r6) if is_error(r7) goto L15 (error at f:7) else goto L4 L4: if is_error(v) goto L16 else goto L7 L5: r8 = raise UnboundLocalError('local variable "v" referenced before assignment') if not r8 goto L12 (error at f:-1) else goto L6 :: bool L6: unreachable L7: r9 = [v] r10 = load_address r9 r11 = PyObject_Vectorcall(r7, r10, 1, 0) dec_ref r7 if is_error(r11) goto L15 (error at f:7) else goto L17 L8: if is_error(v) goto L9 else goto L11 L9: r12 = raise UnboundLocalError('local variable "v" referenced before assignment') if not r12 goto L12 (error at f:-1) else goto L10 :: bool L10: unreachable L11: xdec_ref v return 1 L12: r13 = :: None return r13 L13: xdec_ref v goto L2 L14: dec_ref u goto L3 L15: xdec_ref v goto L12 L16: dec_ref r7 goto L5 L17: dec_ref r11 goto L8 [case testExceptionWithOverlappingErrorValue] from mypy_extensions import i64 def f() -> i64: return 0 def g() -> i64: return f() [out] def f(): L0: return 0 def g(): r0 :: i64 r1 :: bit r2 :: object r3 :: i64 L0: r0 = f() r1 = r0 == -113 if r1 goto L2 else goto L1 :: bool L1: return r0 L2: r2 = PyErr_Occurred() if not is_error(r2) goto L3 (error at g:7) else goto L1 L3: r3 = :: i64 return r3 [case testExceptionWithNativeAttributeGetAndSet] class C: def __init__(self, x: int) -> None: self.x = x def foo(c: C, x: int) -> None: c.x = x - c.x [out] def C.__init__(self, x): self :: __main__.C x :: int L0: inc_ref x :: int self.x = x return 1 def foo(c, x): c :: __main__.C x, r0, r1 :: int r2 :: bool L0: r0 = borrow c.x r1 = CPyTagged_Subtract(x, r0) c.x = r1 return 1 [case testExceptionWithOverlappingFloatErrorValue] def f() -> float: return 0.0 def g() -> float: return f() [out] def f(): L0: return 0.0 def g(): r0 :: float r1 :: bit r2 :: object r3 :: float L0: r0 = f() r1 = r0 == -113.0 if r1 goto L2 else goto L1 :: bool L1: return r0 L2: r2 = PyErr_Occurred() if not is_error(r2) goto L3 (error at g:5) else goto L1 L3: r3 = :: float return r3 [case testExceptionWithLowLevelIntAttribute] from mypy_extensions import i32, i64 class C: def __init__(self, x: i32, y: i64) -> None: self.x = x self.y = y def f(c: C) -> None: c.x c.y [out] def C.__init__(self, x, y): self :: __main__.C x :: i32 y :: i64 L0: self.x = x self.y = y return 1 def f(c): c :: __main__.C r0 :: i32 r1 :: i64 L0: r0 = c.x r1 = c.y return 1 [case testConditionallyUndefinedI64] from mypy_extensions import i64 def f(x: i64) -> i64: if x: y: i64 = 2 return y [out] def f(x): x, r0, y :: i64 __locals_bitmap0 :: u32 r1 :: bit r2, r3 :: u32 r4 :: bit r5 :: bool r6 :: i64 L0: r0 = :: i64 y = r0 __locals_bitmap0 = 0 r1 = x != 0 if r1 goto L1 else goto L2 :: bool L1: y = 2 r2 = __locals_bitmap0 | 1 __locals_bitmap0 = r2 L2: r3 = __locals_bitmap0 & 1 r4 = r3 == 0 if r4 goto L3 else goto L5 :: bool L3: r5 = raise UnboundLocalError('local variable "y" referenced before assignment') if not r5 goto L6 (error at f:-1) else goto L4 :: bool L4: unreachable L5: return y L6: r6 = :: i64 return r6 [case testExceptionWithFloatAttribute] class C: def __init__(self, x: float, y: float) -> None: self.x = x if x: self.y = y def f(c: C) -> float: return c.x + c.y [out] def C.__init__(self, x, y): self :: __main__.C x, y :: float r0 :: bit L0: self.x = x r0 = x != 0.0 if r0 goto L1 else goto L2 :: bool L1: self.y = y L2: return 1 def f(c): c :: __main__.C r0, r1 :: float r2 :: bit r3 :: float r4 :: object r5 :: float L0: r0 = c.x r1 = c.y r2 = r1 == -113.0 if r2 goto L2 else goto L1 :: bool L1: r3 = r0 + r1 return r3 L2: r4 = PyErr_Occurred() if not is_error(r4) goto L3 (error at f:8) else goto L1 L3: r5 = :: float return r5 ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6787663 mypy-1.19.0/mypyc/test-data/fixtures/0000755000175100017510000000000015112310012017130 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/fixtures/ir.py0000644000175100017510000003766415112307767020163 0ustar00runnerrunner# These builtins stubs are used implicitly in AST to IR generation # test cases. import _typeshed from typing import ( Self, TypeVar, Generic, List, Iterator, Iterable, Dict, Optional, Tuple, Any, Set, overload, Mapping, Union, Callable, Sequence, FrozenSet, Protocol ) _T = TypeVar('_T') T_co = TypeVar('T_co', covariant=True) T_contra = TypeVar('T_contra', contravariant=True) _S = TypeVar('_S') _K = TypeVar('_K') # for keys in mapping _V = TypeVar('_V') # for values in mapping class __SupportsAbs(Protocol[T_co]): def __abs__(self) -> T_co: pass class __SupportsDivMod(Protocol[T_contra, T_co]): def __divmod__(self, other: T_contra) -> T_co: ... class __SupportsRDivMod(Protocol[T_contra, T_co]): def __rdivmod__(self, other: T_contra) -> T_co: ... _M = TypeVar("_M", contravariant=True) class __SupportsPow2(Protocol[T_contra, T_co]): def __pow__(self, other: T_contra) -> T_co: ... class __SupportsPow3NoneOnly(Protocol[T_contra, T_co]): def __pow__(self, other: T_contra, modulo: None = ...) -> T_co: ... class __SupportsPow3(Protocol[T_contra, _M, T_co]): def __pow__(self, other: T_contra, modulo: _M) -> T_co: ... __SupportsSomeKindOfPow = Union[ __SupportsPow2[Any, Any], __SupportsPow3NoneOnly[Any, Any] | __SupportsPow3[Any, Any, Any] ] class object: __class__: type def __new__(cls) -> Self: pass def __init__(self) -> None: pass def __eq__(self, x: object) -> bool: pass def __ne__(self, x: object) -> bool: pass def __str__(self) -> str: pass def __setattr__(self, k: str, v: object) -> None: pass def __delattr__(self, k: str) -> None: pass class type: def __init__(self, o: object) -> None: ... def __or__(self, o: object) -> Any: ... __name__ : str __annotations__: Dict[str, Any] class ellipsis: pass # Primitive types are special in generated code. class int: @overload def __init__(self) -> None: pass @overload def __init__(self, x: object, base: int = 10) -> None: pass def __add__(self, n: int) -> int: pass def __sub__(self, n: int) -> int: pass def __mul__(self, n: int) -> int: pass def __pow__(self, n: int, modulo: Optional[int] = None) -> int: pass def __floordiv__(self, x: int) -> int: pass def __truediv__(self, x: float) -> float: pass def __mod__(self, x: int) -> int: pass def __divmod__(self, x: float) -> Tuple[float, float]: pass def __neg__(self) -> int: pass def __pos__(self) -> int: pass def __abs__(self) -> int: pass def __invert__(self) -> int: pass def __and__(self, n: int) -> int: pass def __or__(self, n: int) -> int: pass def __xor__(self, n: int) -> int: pass def __lshift__(self, x: int) -> int: pass def __rshift__(self, x: int) -> int: pass def __eq__(self, n: object) -> bool: pass def __ne__(self, n: object) -> bool: pass def __lt__(self, n: int) -> bool: pass def __gt__(self, n: int) -> bool: pass def __le__(self, n: int) -> bool: pass def __ge__(self, n: int) -> bool: pass def bit_length(self) -> int: pass class str: @overload def __init__(self) -> None: pass @overload def __init__(self, x: object) -> None: pass def __add__(self, x: str) -> str: pass def __mul__(self, x: int) -> str: pass def __rmul__(self, x: int) -> str: pass def __eq__(self, x: object) -> bool: pass def __ne__(self, x: object) -> bool: pass def __lt__(self, x: str) -> bool: ... def __le__(self, x: str) -> bool: ... def __gt__(self, x: str) -> bool: ... def __ge__(self, x: str) -> bool: ... @overload def __getitem__(self, i: int) -> str: pass @overload def __getitem__(self, i: slice) -> str: pass def __contains__(self, item: str) -> bool: pass def __iter__(self) -> Iterator[str]: ... def find(self, sub: str, start: Optional[int] = None, end: Optional[int] = None, /) -> int: ... def rfind(self, sub: str, start: Optional[int] = None, end: Optional[int] = None, /) -> int: ... def split(self, sep: Optional[str] = None, maxsplit: int = -1) -> List[str]: pass def rsplit(self, sep: Optional[str] = None, maxsplit: int = -1) -> List[str]: pass def splitlines(self, keepends: bool = False) -> List[str]: ... def strip (self, item: Optional[str] = None) -> str: pass def lstrip(self, item: Optional[str] = None) -> str: pass def rstrip(self, item: Optional[str] = None) -> str: pass def join(self, x: Iterable[str]) -> str: pass def format(self, *args: Any, **kwargs: Any) -> str: ... def upper(self) -> str: ... def startswith(self, x: Union[str, Tuple[str, ...]], start: int=..., end: int=...) -> bool: ... def endswith(self, x: Union[str, Tuple[str, ...]], start: int=..., end: int=...) -> bool: ... def replace(self, old: str, new: str, maxcount: int=...) -> str: ... def encode(self, encoding: str=..., errors: str=...) -> bytes: ... def partition(self, sep: str, /) -> Tuple[str, str, str]: ... def rpartition(self, sep: str, /) -> Tuple[str, str, str]: ... def removeprefix(self, prefix: str, /) -> str: ... def removesuffix(self, suffix: str, /) -> str: ... def islower(self) -> bool: ... def count(self, substr: str, start: Optional[int] = None, end: Optional[int] = None) -> int: pass class float: def __init__(self, x: object) -> None: pass def __add__(self, n: float) -> float: pass def __radd__(self, n: float) -> float: pass def __sub__(self, n: float) -> float: pass def __rsub__(self, n: float) -> float: pass def __mul__(self, n: float) -> float: pass def __truediv__(self, n: float) -> float: pass def __floordiv__(self, n: float) -> float: pass def __mod__(self, n: float) -> float: pass def __pow__(self, n: float) -> float: pass def __neg__(self) -> float: pass def __pos__(self) -> float: pass def __abs__(self) -> float: pass def __invert__(self) -> float: pass def __eq__(self, x: object) -> bool: pass def __ne__(self, x: object) -> bool: pass def __lt__(self, x: float) -> bool: ... def __le__(self, x: float) -> bool: ... def __gt__(self, x: float) -> bool: ... def __ge__(self, x: float) -> bool: ... class complex: def __init__(self, x: object, y: object = None) -> None: pass def __add__(self, n: complex) -> complex: pass def __radd__(self, n: float) -> complex: pass def __sub__(self, n: complex) -> complex: pass def __rsub__(self, n: float) -> complex: pass def __mul__(self, n: complex) -> complex: pass def __truediv__(self, n: complex) -> complex: pass def __neg__(self) -> complex: pass class bytes: @overload def __init__(self) -> None: ... @overload def __init__(self, x: object) -> None: ... def __add__(self, x: bytes) -> bytes: ... def __mul__(self, x: int) -> bytes: ... def __rmul__(self, x: int) -> bytes: ... def __eq__(self, x: object) -> bool: ... def __ne__(self, x: object) -> bool: ... @overload def __getitem__(self, i: int) -> int: ... @overload def __getitem__(self, i: slice) -> bytes: ... def join(self, x: Iterable[object]) -> bytes: ... def decode(self, encoding: str=..., errors: str=...) -> str: ... def __iter__(self) -> Iterator[int]: ... class bytearray: @overload def __init__(self) -> None: pass @overload def __init__(self, x: object) -> None: pass @overload def __init__(self, string: str, encoding: str, err: str = ...) -> None: pass def __add__(self, s: bytes) -> bytearray: ... def __setitem__(self, i: int, o: int) -> None: ... def __getitem__(self, i: int) -> int: ... def decode(self, x: str = ..., y: str = ...) -> str: ... class bool(int): def __init__(self, o: object = ...) -> None: ... @overload def __and__(self, n: bool) -> bool: ... @overload def __and__(self, n: int) -> int: ... @overload def __or__(self, n: bool) -> bool: ... @overload def __or__(self, n: int) -> int: ... @overload def __xor__(self, n: bool) -> bool: ... @overload def __xor__(self, n: int) -> int: ... class tuple(Generic[T_co], Sequence[T_co], Iterable[T_co]): def __init__(self, i: Iterable[T_co]) -> None: pass @overload def __getitem__(self, i: int) -> T_co: pass @overload def __getitem__(self, i: slice) -> Tuple[T_co, ...]: pass def __len__(self) -> int: pass def __iter__(self) -> Iterator[T_co]: ... def __contains__(self, item: object) -> int: ... @overload def __add__(self, value: Tuple[T_co, ...], /) -> Tuple[T_co, ...]: ... @overload def __add__(self, value: Tuple[_T, ...], /) -> Tuple[T_co | _T, ...]: ... def __mul__(self, value: int, /) -> Tuple[T_co, ...]: ... def __rmul__(self, value: int, /) -> Tuple[T_co, ...]: ... class function: pass class list(Generic[_T], Sequence[_T], Iterable[_T]): def __init__(self, i: Optional[Iterable[_T]] = None) -> None: pass @overload def __getitem__(self, i: int) -> _T: ... @overload def __getitem__(self, s: slice) -> List[_T]: ... def __setitem__(self, i: int, o: _T) -> None: pass def __delitem__(self, i: int) -> None: pass def __mul__(self, i: int) -> List[_T]: pass def __rmul__(self, i: int) -> List[_T]: pass def __imul__(self, i: int) -> List[_T]: ... def __iter__(self) -> Iterator[_T]: pass def __len__(self) -> int: pass def __contains__(self, item: object) -> int: ... @overload def __add__(self, value: List[_T], /) -> List[_T]: ... @overload def __add__(self, value: List[_S], /) -> List[_S | _T]: ... def __iadd__(self, value: Iterable[_T], /) -> List[_T]: ... # type: ignore[misc] def append(self, x: _T) -> None: pass def pop(self, i: int = -1) -> _T: pass def count(self, x: _T) -> int: pass def extend(self, l: Iterable[_T]) -> None: pass def insert(self, i: int, x: _T) -> None: pass def sort(self) -> None: pass def reverse(self) -> None: pass def remove(self, o: _T) -> None: pass def index(self, o: _T) -> int: pass def clear(self) -> None: pass def copy(self) -> List[_T]: pass class dict(Mapping[_K, _V]): @overload def __init__(self, **kwargs: _K) -> None: ... @overload def __init__(self, map: Mapping[_K, _V], **kwargs: _V) -> None: ... @overload def __init__(self, iterable: Iterable[Tuple[_K, _V]], **kwargs: _V) -> None: ... def __getitem__(self, key: _K) -> _V: pass def __setitem__(self, k: _K, v: _V) -> None: pass def __delitem__(self, k: _K) -> None: pass def __contains__(self, item: object) -> int: pass def __iter__(self) -> Iterator[_K]: pass def __len__(self) -> int: pass @overload def update(self, __m: Mapping[_K, _V], **kwargs: _V) -> None: pass @overload def update(self, __m: Iterable[Tuple[_K, _V]], **kwargs: _V) -> None: ... @overload def update(self, **kwargs: _V) -> None: ... def pop(self, x: int) -> _K: pass def keys(self) -> Iterable[_K]: pass def values(self) -> Iterable[_V]: pass def items(self) -> Iterable[Tuple[_K, _V]]: pass def clear(self) -> None: pass def copy(self) -> Dict[_K, _V]: pass def setdefault(self, key: _K, val: _V = ...) -> _V: pass class set(Generic[_T]): def __init__(self, i: Optional[Iterable[_T]] = None) -> None: pass def __iter__(self) -> Iterator[_T]: pass def __len__(self) -> int: pass def add(self, x: _T) -> None: pass def remove(self, x: _T) -> None: pass def discard(self, x: _T) -> None: pass def clear(self) -> None: pass def pop(self) -> _T: pass def update(self, x: Iterable[_S]) -> None: pass def __or__(self, s: Union[Set[_S], FrozenSet[_S]]) -> Set[Union[_T, _S]]: ... def __xor__(self, s: Union[Set[_S], FrozenSet[_S]]) -> Set[Union[_T, _S]]: ... class frozenset(Generic[_T]): def __init__(self, i: Optional[Iterable[_T]] = None) -> None: pass def __iter__(self) -> Iterator[_T]: pass def __len__(self) -> int: pass def __or__(self, s: Union[Set[_S], FrozenSet[_S]]) -> FrozenSet[Union[_T, _S]]: ... def __xor__(self, s: Union[Set[_S], FrozenSet[_S]]) -> FrozenSet[Union[_T, _S]]: ... class slice: pass class range(Iterable[int]): def __init__(self, x: int, y: int = ..., z: int = ...) -> None: pass def __iter__(self) -> Iterator[int]: pass def __len__(self) -> int: pass def __next__(self) -> int: pass class property: def __init__(self, fget: Optional[Callable[[Any], Any]] = ..., fset: Optional[Callable[[Any, Any], None]] = ..., fdel: Optional[Callable[[Any], None]] = ..., doc: Optional[str] = ...) -> None: ... def getter(self, fget: Callable[[Any], Any]) -> property: ... def setter(self, fset: Callable[[Any, Any], None]) -> property: ... def deleter(self, fdel: Callable[[Any], None]) -> property: ... def __get__(self, obj: Any, type: Optional[type] = ...) -> Any: ... def __set__(self, obj: Any, value: Any) -> None: ... def __delete__(self, obj: Any) -> None: ... def fget(self) -> Any: ... def fset(self, value: Any) -> None: ... def fdel(self) -> None: ... class BaseException: pass class Exception(BaseException): def __init__(self, message: Optional[str] = None) -> None: pass class Warning(Exception): pass class UserWarning(Warning): pass class TypeError(Exception): pass class ValueError(Exception): pass class AttributeError(Exception): pass class ImportError(Exception): pass class NameError(Exception): pass class UnboundLocalError(NameError): pass class LookupError(Exception): pass class KeyError(LookupError): pass class IndexError(LookupError): pass class RuntimeError(Exception): pass class UnicodeEncodeError(RuntimeError): pass class UnicodeDecodeError(RuntimeError): pass class NotImplementedError(RuntimeError): pass class ReferenceError(Exception): pass class StopIteration(Exception): value: Any class ArithmeticError(Exception): pass class ZeroDivisionError(ArithmeticError): pass class OverflowError(ArithmeticError): pass class GeneratorExit(BaseException): pass def any(i: Iterable[_T]) -> bool: pass def all(i: Iterable[_T]) -> bool: pass @overload def sum(i: Iterable[bool]) -> int: pass @overload def sum(i: Iterable[_T]) -> _T: pass @overload def sum(i: Iterable[_T], start: _T) -> _T: pass def reversed(object: Sequence[_T]) -> Iterator[_T]: ... def id(o: object) -> int: pass # This type is obviously wrong but the test stubs don't have Sized anymore def len(o: object) -> int: pass def print(*args: object) -> None: pass def isinstance(x: object, t: object) -> bool: pass def iter(i: Iterable[_T]) -> Iterator[_T]: pass @overload def next(i: Iterator[_T]) -> _T: pass @overload def next(i: Iterator[_T], default: _T) -> _T: pass def hash(o: object) -> int: ... def globals() -> Dict[str, Any]: ... def hasattr(obj: object, name: str) -> bool: ... def getattr(obj: object, name: str, default: Any = None) -> Any: ... def setattr(obj: object, name: str, value: Any) -> None: ... def delattr(obj: object, name: str) -> None: ... def enumerate(x: Iterable[_T]) -> Iterator[Tuple[int, _T]]: ... @overload def zip(x: Iterable[_T], y: Iterable[_S]) -> Iterator[Tuple[_T, _S]]: ... @overload def zip(x: Iterable[_T], y: Iterable[_S], z: Iterable[_V]) -> Iterator[Tuple[_T, _S, _V]]: ... def eval(e: str) -> Any: ... def abs(x: __SupportsAbs[_T]) -> _T: ... @overload def divmod(x: __SupportsDivMod[T_contra, T_co], y: T_contra) -> T_co: ... @overload def divmod(x: T_contra, y: __SupportsRDivMod[T_contra, T_co]) -> T_co: ... @overload def pow(base: __SupportsPow2[T_contra, T_co], exp: T_contra, mod: None = None) -> T_co: ... @overload def pow(base: __SupportsPow3NoneOnly[T_contra, T_co], exp: T_contra, mod: None = None) -> T_co: ... @overload def pow(base: __SupportsPow3[T_contra, _M, T_co], exp: T_contra, mod: _M) -> T_co: ... def sorted(iterable: Iterable[_T]) -> list[_T]: ... def exit() -> None: ... def min(x: _T, y: _T) -> _T: ... def max(x: _T, y: _T) -> _T: ... def repr(o: object) -> str: ... def ascii(o: object) -> str: ... def ord(o: object) -> int: ... def chr(i: int) -> str: ... # Dummy definitions. class classmethod: pass class staticmethod: pass NotImplemented: Any = ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/fixtures/testutil.py0000644000175100017510000000574515112307767021421 0ustar00runnerrunner# Simple support library for our run tests. from contextlib import contextmanager from collections.abc import Iterator import math from typing import ( Any, Iterator, TypeVar, Generator, Optional, List, Tuple, Sequence, Union, Callable, Awaitable, Generic ) from typing import Final FLOAT_MAGIC: Final = -113.0 # Various different float values float_vals = [ float(n) * 0.25 for n in range(-10, 10) ] + [ -0.0, 1.0/3.0, math.sqrt(2.0), 1.23e200, -2.34e200, 5.43e-100, -6.532e-200, float('inf'), -float('inf'), float('nan'), FLOAT_MAGIC, math.pi, 2.0 * math.pi, math.pi / 2.0, -math.pi / 2.0, -1.7976931348623158e+308, # Smallest finite value -2.2250738585072014e-308, # Closest to zero negative normal value -7.5491e-312, # Arbitrary negative subnormal value -5e-324, # Closest to zero negative subnormal value 1.7976931348623158e+308, # Largest finite value 2.2250738585072014e-308, # Closest to zero positive normal value -6.3492e-312, # Arbitrary positive subnormal value 5e-324, # Closest to zero positive subnormal value ] @contextmanager def assertRaises(typ: type, msg: str = '') -> Iterator[None]: try: yield except BaseException as e: assert type(e) is typ, f"{e!r} is not a {typ.__name__}" assert msg in str(e), f'Message "{e}" does not match "{msg}"' else: assert False, f"Expected {typ.__name__} but got no exception" def assertDomainError() -> Any: return assertRaises(ValueError, "math domain error") def assertMathRangeError() -> Any: return assertRaises(OverflowError, "math range error") T = TypeVar('T') U = TypeVar('U') V = TypeVar('V') def run_generator(gen: Generator[T, V, U], inputs: Optional[List[V]] = None, p: bool = False) -> Tuple[Sequence[T], Union[U, str]]: res: List[T] = [] i = -1 while True: try: if i >= 0 and inputs: # ... fixtures don't have send val = gen.send(inputs[i]) # type: ignore elif not hasattr(gen, '__next__'): # type: ignore val = gen.send(None) # type: ignore else: val = next(gen) except StopIteration as e: return (tuple(res), e.value) except Exception as e: return (tuple(res), str(e)) if p: print(val) res.append(val) i += 1 F = TypeVar('F', bound=Callable) class async_val(Awaitable[V], Generic[T, V]): def __init__(self, val: T) -> None: self.val = val def __await__(self) -> Generator[T, V, V]: z = yield self.val return z # Wrap a mypyc-generated function in a real python function, to allow it to be # stuck into classes and the like. def make_python_function(f: F) -> F: def g(*args: Any, **kwargs: Any) -> Any: return f(*args, **kwargs) return g # type: ignore ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/fixtures/typing-full.pyi0000644000175100017510000001216315112307767022157 0ustar00runnerrunner# More complete stub for typing module. # # Use [typing fixtures/typing-full.pyi] to use this instead of lib-stub/typing.pyi # in a particular test case. # # Many of the definitions have special handling in the type checker, so they # can just be initialized to anything. from abc import abstractmethod, ABCMeta class GenericMeta(type): pass class _SpecialForm: def __getitem__(self, index: Any) -> Any: ... class TypeVar: def __init__(self, name: str, *args: Any, bound: Any = None): ... def __or__(self, other: Any) -> Any: ... cast = 0 overload = 0 Any = object() Optional = 0 Generic = 0 Protocol = 0 Tuple = 0 _promote = 0 NamedTuple = 0 Type = 0 no_type_check = 0 ClassVar = 0 Final = 0 TypedDict = 0 NoReturn = 0 NewType = 0 Self = 0 Callable: _SpecialForm Union: _SpecialForm Literal: _SpecialForm T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) T_contra = TypeVar('T_contra', contravariant=True) U = TypeVar('U') V = TypeVar('V') S = TypeVar('S') # Note: definitions below are different from typeshed, variances are declared # to silence the protocol variance checks. Maybe it is better to use type: ignore? @runtime_checkable class Container(Protocol[T_co]): @abstractmethod # Use int because bool isn't in the default test builtins def __contains__(self, arg: object) -> int: pass @runtime_checkable class Sized(Protocol): @abstractmethod def __len__(self) -> int: pass @runtime_checkable class Iterable(Protocol[T_co]): @abstractmethod def __iter__(self) -> 'Iterator[T_co]': pass @runtime_checkable class Iterator(Iterable[T_co], Protocol): @abstractmethod def __next__(self) -> T_co: pass class Generator(Iterator[T], Generic[T, U, V]): @abstractmethod def send(self, value: U) -> T: pass @abstractmethod def throw(self, typ: Any, val: Any=None, tb: Any=None) -> None: pass @abstractmethod def close(self) -> None: pass @abstractmethod def __iter__(self) -> 'Generator[T, U, V]': pass class AsyncGenerator(AsyncIterator[T], Generic[T, U]): @abstractmethod def __anext__(self) -> Awaitable[T]: pass @abstractmethod def asend(self, value: U) -> Awaitable[T]: pass @abstractmethod def athrow(self, typ: Any, val: Any=None, tb: Any=None) -> Awaitable[T]: pass @abstractmethod def aclose(self) -> Awaitable[T]: pass @abstractmethod def __aiter__(self) -> 'AsyncGenerator[T, U]': pass @runtime_checkable class Awaitable(Protocol[T]): @abstractmethod def __await__(self) -> Generator[Any, Any, T]: pass class AwaitableGenerator(Generator[T, U, V], Awaitable[V], Generic[T, U, V, S], metaclass=ABCMeta): pass class Coroutine(Awaitable[V], Generic[T, U, V]): @abstractmethod def send(self, value: U) -> T: pass @abstractmethod def throw(self, typ: Any, val: Any=None, tb: Any=None) -> None: pass @abstractmethod def close(self) -> None: pass @runtime_checkable class AsyncIterable(Protocol[T]): @abstractmethod def __aiter__(self) -> 'AsyncIterator[T]': pass @runtime_checkable class AsyncIterator(AsyncIterable[T], Protocol): def __aiter__(self) -> 'AsyncIterator[T]': return self @abstractmethod def __anext__(self) -> Awaitable[T]: pass class Sequence(Iterable[T_co], Container[T_co]): @abstractmethod def __getitem__(self, n: Any) -> T_co: pass class Mapping(Iterable[T], Generic[T, T_co], metaclass=ABCMeta): def keys(self) -> Iterable[T]: pass # Approximate return type def __getitem__(self, key: T) -> T_co: pass @overload def get(self, k: T) -> Optional[T_co]: pass @overload def get(self, k: T, default: Union[T_co, V]) -> Union[T_co, V]: pass def values(self) -> Iterable[T_co]: pass # Approximate return type def items(self) -> Iterable[Tuple[T, T_co]]: pass # Approximate return type def __len__(self) -> int: ... def __contains__(self, arg: object) -> int: pass class MutableMapping(Mapping[T, U], metaclass=ABCMeta): def __setitem__(self, k: T, v: U) -> None: pass class SupportsInt(Protocol): def __int__(self) -> int: pass class SupportsFloat(Protocol): def __float__(self) -> float: pass def runtime_checkable(cls: T) -> T: return cls class ContextManager(Generic[T]): def __enter__(self) -> T: pass # Use Any because not all the precise types are in the fixtures. def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> Any: pass TYPE_CHECKING = 1 # Fallback type for all typed dicts (does not exist at runtime). class _TypedDict(Mapping[str, object]): # Needed to make this class non-abstract. It is explicitly declared abstract in # typeshed, but we don't want to import abc here, as it would slow down the tests. def __iter__(self) -> Iterator[str]: ... def copy(self: T) -> T: ... # Using NoReturn so that only calls using the plugin hook can go through. def setdefault(self, k: NoReturn, default: object) -> object: ... # Mypy expects that 'default' has a type variable type. def pop(self, k: NoReturn, default: T = ...) -> object: ... def update(self: T, __m: T) -> None: ... def __delitem__(self, k: NoReturn) -> None: ... class TypeAliasType: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-any.test0000644000175100017510000001002615112307767020425 0ustar00runnerrunner-- Generate ops related to Any types [case testCoerceAnyInCallsAndReturn] from typing import Any def f(x: Any) -> Any: return g(x) def g(x: int) -> int: return f(x) [out] def f(x): x :: object r0, r1 :: int r2 :: object L0: r0 = unbox(int, x) r1 = g(r0) r2 = box(int, r1) return r2 def g(x): x :: int r0, r1 :: object r2 :: int L0: r0 = box(int, x) r1 = f(r0) r2 = unbox(int, r1) return r2 [case testCoerceAnyInAssignment] from typing import Any, Tuple class C: a: Any n: int def f(a: Any, n: int, c: C) -> None: c.a = n c.n = a a = n n = a [out] def f(a, n, c): a :: object n :: int c :: __main__.C r0 :: object r1 :: bool r2 :: int r3 :: bool r4 :: object r5 :: int L0: r0 = box(int, n) c.a = r0; r1 = is_error r2 = unbox(int, a) c.n = r2; r3 = is_error r4 = box(int, n) a = r4 r5 = unbox(int, a) n = r5 return 1 [case testCoerceAnyInOps] from typing import Any, List def f1(a: Any, n: int) -> None: a + n n + a def f2(a: Any, n: int, l: List[int]) -> None: a[n] l[a] a[n] = n l[a] = n l[n] = a [a, n] def f3(a: Any, n: int) -> None: a += n n += a [out] def f1(a, n): a :: object n :: int r0, r1, r2, r3 :: object L0: r0 = box(int, n) r1 = PyNumber_Add(a, r0) r2 = box(int, n) r3 = PyNumber_Add(r2, a) return 1 def f2(a, n, l): a :: object n :: int l :: list r0, r1, r2, r3, r4 :: object r5 :: i32 r6 :: bit r7 :: object r8 :: i32 r9, r10 :: bit r11 :: list r12 :: object r13 :: ptr L0: r0 = box(int, n) r1 = PyObject_GetItem(a, r0) r2 = PyObject_GetItem(l, a) r3 = box(int, n) r4 = box(int, n) r5 = PyObject_SetItem(a, r3, r4) r6 = r5 >= 0 :: signed r7 = box(int, n) r8 = PyObject_SetItem(l, a, r7) r9 = r8 >= 0 :: signed r10 = CPyList_SetItem(l, n, a) r11 = PyList_New(2) r12 = box(int, n) r13 = list_items r11 buf_init_item r13, 0, a buf_init_item r13, 1, r12 keep_alive r11 return 1 def f3(a, n): a :: object n :: int r0, r1, r2, r3 :: object r4 :: int L0: r0 = box(int, n) r1 = PyNumber_InPlaceAdd(a, r0) a = r1 r2 = box(int, n) r3 = PyNumber_InPlaceAdd(r2, a) r4 = unbox(int, r3) n = r4 return 1 [case testCoerceAnyInConditionalExpr] from typing import Any def f4(a: Any, n: int, b: bool) -> None: a = a if b else n n = n if b else a [out] def f4(a, n, b): a :: object n :: int b :: bool r0 :: union[object, int] r1, r2 :: object r3 :: union[int, object] r4 :: int L0: if b goto L1 else goto L2 :: bool L1: r0 = a goto L3 L2: r1 = box(int, n) r0 = r1 L3: a = r0 if b goto L4 else goto L5 :: bool L4: r2 = box(int, n) r3 = r2 goto L6 L5: r3 = a L6: r4 = unbox(int, r3) n = r4 return 1 [case testAbsSpecialization] # Specialization of native classes that implement __abs__ is checked in # irbuild-dunders.test def f() -> None: a = abs(1) b = abs(1.1) [out] def f(): r0, r1 :: object r2, a :: int r3, b :: float L0: r0 = object 1 r1 = PyNumber_Absolute(r0) r2 = unbox(int, r1) a = r2 r3 = fabs(1.1) b = r3 return 1 [case testFunctionBasedOps] def f() -> None: a = divmod(5, 2) def f2() -> int: return pow(2, 5) def f3() -> float: return pow(2, 5, 3) [out] def f(): r0, r1, r2 :: object r3, a :: tuple[float, float] L0: r0 = object 5 r1 = object 2 r2 = PyNumber_Divmod(r0, r1) r3 = unbox(tuple[float, float], r2) a = r3 return 1 def f2(): r0, r1, r2 :: object r3 :: int L0: r0 = object 2 r1 = object 5 r2 = CPyNumber_Power(r0, r1) r3 = unbox(int, r2) return r3 def f3(): r0, r1, r2, r3 :: object r4 :: int r5 :: float L0: r0 = object 2 r1 = object 5 r2 = object 3 r3 = PyNumber_Power(r0, r1, r2) r4 = unbox(int, r3) r5 = CPyFloat_FromTagged(r4) return r5 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-base64.test0000644000175100017510000000133015112307767020720 0ustar00runnerrunner[case testBase64_experimental] from librt.base64 import b64encode def enc(b: bytes) -> bytes: return b64encode(b) [out] def enc(b): b, r0 :: bytes L0: r0 = LibRTBase64_b64encode_internal(b) return r0 [case testBase64ExperimentalDisabled] from librt.base64 import b64encode def enc(b: bytes) -> bytes: return b64encode(b) [out] def enc(b): b :: bytes r0 :: dict r1 :: str r2 :: object r3 :: object[1] r4 :: object_ptr r5 :: object r6 :: bytes L0: r0 = __main__.globals :: static r1 = 'b64encode' r2 = CPyDict_GetItem(r0, r1) r3 = [b] r4 = load_address r3 r5 = PyObject_Vectorcall(r2, r4, 1, 0) keep_alive b r6 = cast(bytes, r5) return r6 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-basic.test0000644000175100017510000021620315112307767020724 0ustar00runnerrunner[case testTrivialFunction] def f() -> int: return 1 [out] def f(): L0: return 2 [case testFunctionArgument] def f(x: int) -> int: return x [out] def f(x): x :: int L0: return x [case testExplicitNoneReturn] def f() -> None: return [out] def f(): L0: return 1 [case testExplicitNoneReturn2] def f() -> None: return None [out] def f(): L0: return 1 [case testAssignment] def f() -> int: x = 1 y = x return y [out] def f(): x, y :: int L0: x = 2 y = x return y [case testAssignmentTwice] def f(x: int) -> None: y = 1 y = x return [out] def f(x): x, y :: int L0: y = 2 y = x return 1 [case testIntArithmetic] def f(x: int, y: int) -> int: return x * (y + 1) [out] def f(x, y): x, y, r0, r1 :: int L0: r0 = CPyTagged_Add(y, 2) r1 = CPyTagged_Multiply(x, r0) return r1 [case testIf] def f(x: int, y: int) -> int: if x < y: x = 1 return x [out] def f(x, y): x, y :: int r0 :: bit L0: r0 = int_lt x, y if r0 goto L1 else goto L2 :: bool L1: x = 2 L2: return x [case testIfElse] def f(x: int, y: int) -> int: if x < y: x = 1 else: x = 2 return x [out] def f(x, y): x, y :: int r0 :: bit L0: r0 = int_lt x, y if r0 goto L1 else goto L2 :: bool L1: x = 2 goto L3 L2: x = 4 L3: return x [case testAnd1] def f(x: int, y: int) -> int: if x < y and x > y: x = 1 else: x = 2 return x [out] def f(x, y): x, y :: int r0, r1 :: bit L0: r0 = int_lt x, y if r0 goto L1 else goto L3 :: bool L1: r1 = int_gt x, y if r1 goto L2 else goto L3 :: bool L2: x = 2 goto L4 L3: x = 4 L4: return x [case testAnd2] def f(x: object, y: object) -> str: return str(x) or str(y) [out] def f(x, y): x, y :: object r0 :: str r1 :: bit r2, r3 :: str L0: r0 = PyObject_Str(x) r1 = CPyStr_IsTrue(r0) if r1 goto L1 else goto L2 :: bool L1: r2 = r0 goto L3 L2: r3 = PyObject_Str(y) r2 = r3 L3: return r2 [case testOr] def f(x: int, y: int) -> int: if x < y or x > y: x = 1 else: x = 2 return x [out] def f(x, y): x, y :: int r0, r1 :: bit L0: r0 = int_lt x, y if r0 goto L2 else goto L1 :: bool L1: r1 = int_gt x, y if r1 goto L2 else goto L3 :: bool L2: x = 2 goto L4 L3: x = 4 L4: return x [case testOr2] def f(x: object, y: object) -> str: return str(x) and str(y) [out] def f(x, y): x, y :: object r0 :: str r1 :: bit r2, r3 :: str L0: r0 = PyObject_Str(x) r1 = CPyStr_IsTrue(r0) if r1 goto L2 else goto L1 :: bool L1: r2 = r0 goto L3 L2: r3 = PyObject_Str(y) r2 = r3 L3: return r2 [case testSimpleNot] def f(x: int, y: int) -> int: if not (x < y): x = 1 return x [out] def f(x, y): x, y :: int r0 :: bit L0: r0 = int_lt x, y if r0 goto L2 else goto L1 :: bool L1: x = 2 L2: return x [case testNotAnd] def f(x: int, y: int) -> int: if not (x < y and x > y): x = 1 return x [out] def f(x, y): x, y :: int r0, r1 :: bit L0: r0 = int_lt x, y if r0 goto L1 else goto L2 :: bool L1: r1 = int_gt x, y if r1 goto L3 else goto L2 :: bool L2: x = 2 L3: return x [case testWhile] def f(x: int, y: int) -> int: while x > y: x = x - y return x [out] def f(x, y): x, y :: int r0 :: bit r1 :: int L0: L1: r0 = int_gt x, y if r0 goto L2 else goto L3 :: bool L2: r1 = CPyTagged_Subtract(x, y) x = r1 goto L1 L3: return x [case testWhile2] def f(x: int, y: int) -> int: x = 1 while x > y: x = x - y return x [out] def f(x, y): x, y :: int r0 :: bit r1 :: int L0: x = 2 L1: r0 = int_gt x, y if r0 goto L2 else goto L3 :: bool L2: r1 = CPyTagged_Subtract(x, y) x = r1 goto L1 L3: return x [case testImplicitNoneReturn] def f() -> None: pass [out] def f(): L0: return 1 [case testImplicitNoneReturn2] def f() -> None: x = 1 [out] def f(): x :: int L0: x = 2 return 1 [case testImplicitNoneReturnAndIf] def f(x: int, y: int) -> None: if x < y: x = 1 else: y = 2 [out] def f(x, y): x, y :: int r0 :: bit L0: r0 = int_lt x, y if r0 goto L1 else goto L2 :: bool L1: x = 2 goto L3 L2: y = 4 L3: return 1 [case testRecursion] def f(n: int) -> int: if n <= 1: return 1 else: return f(n - 1) + f(n - 2) [out] def f(n): n :: int r0 :: bit r1, r2, r3, r4, r5 :: int L0: r0 = int_le n, 2 if r0 goto L1 else goto L2 :: bool L1: return 2 L2: r1 = CPyTagged_Subtract(n, 2) r2 = f(r1) r3 = CPyTagged_Subtract(n, 4) r4 = f(r3) r5 = CPyTagged_Add(r2, r4) return r5 L3: unreachable [case testReportTypeCheckError] def f() -> None: return 1 # E: No return value expected [case testReportSemanticaAnalysisError1] def f(x: List[int]) -> None: pass # E: Name "List" is not defined \ # N: Did you forget to import it from "typing"? (Suggestion: "from typing import List") [case testReportSemanticaAnalysisError2] def f() -> None: x # E: Name "x" is not defined [case testElif] def f(n: int) -> int: if n < 0: x = 1 elif n == 0: x = 1 else: x = 2 return x [out] def f(n): n :: int r0 :: bit x :: int r1 :: bit L0: r0 = int_lt n, 0 if r0 goto L1 else goto L2 :: bool L1: x = 2 goto L6 L2: r1 = int_eq n, 0 if r1 goto L3 else goto L4 :: bool L3: x = 2 goto L5 L4: x = 4 L5: L6: return x [case testUnaryMinus] def f(n: int) -> int: return -n [out] def f(n): n, r0 :: int L0: r0 = CPyTagged_Negate(n) return r0 [case testConditionalExpr] def f(n: int) -> int: return 0 if n == 0 else 1 [out] def f(n): n :: int r0 :: bit r1 :: int L0: r0 = int_eq n, 0 if r0 goto L1 else goto L2 :: bool L1: r1 = 0 goto L3 L2: r1 = 2 L3: return r1 [case testOperatorAssignment] def f() -> int: x = 0 x += 1 return x [out] def f(): x, r0 :: int L0: x = 0 r0 = CPyTagged_Add(x, 2) x = r0 return x [case testTrue] def f() -> bool: return True [out] def f(): L0: return 1 [case testFalse] def f() -> bool: return False [out] def f(): L0: return 0 [case testBoolCond] def f(x: bool) -> bool: if x: return False else: return True [out] def f(x): x :: bool L0: if x goto L1 else goto L2 :: bool L1: return 0 L2: return 1 L3: unreachable [case testPycall] import testmodule def f(x: int) -> int: return testmodule.factorial(x) [file testmodule.py] def factorial(x: int) -> int: if x == 0: return 1 else: return x * factorial(x-1) [out] def f(x): x :: int r0 :: object r1 :: str r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object r7 :: int L0: r0 = testmodule :: module r1 = 'factorial' r2 = CPyObject_GetAttr(r0, r1) r3 = box(int, x) r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 r7 = unbox(int, r6) return r7 [case testImport_toplevel] import sys import enum as enum2 import collections.abc import collections.abc as abc2 _ = "filler" import single single.hello() [file single.py] def hello() -> None: print("hello, world") [out] def __top_level__(): r0, r1 :: object r2 :: bit r3 :: str r4 :: object r5, r6, r7, r8 :: object_ptr r9 :: object_ptr[4] r10 :: c_ptr r11 :: native_int[4] r12 :: c_ptr r13 :: object r14 :: dict r15, r16 :: str r17 :: bit r18 :: str r19 :: dict r20 :: str r21 :: i32 r22 :: bit r23 :: object_ptr r24 :: object_ptr[1] r25 :: c_ptr r26 :: native_int[1] r27 :: c_ptr r28 :: object r29 :: dict r30, r31 :: str r32 :: bit r33 :: object r34 :: str r35, r36 :: object L0: r0 = builtins :: module r1 = load_address _Py_NoneStruct r2 = r0 != r1 if r2 goto L2 else goto L1 :: bool L1: r3 = 'builtins' r4 = PyImport_Import(r3) builtins = r4 :: module L2: r5 = load_address sys :: module r6 = load_address enum :: module r7 = load_address collections.abc :: module r8 = load_address collections.abc :: module r9 = [r5, r6, r7, r8] r10 = load_address r9 r11 = [1, 2, 3, 4] r12 = load_address r11 r13 = (('sys', 'sys', 'sys'), ('enum', 'enum', 'enum2'), ('collections.abc', 'collections', 'collections'), ('collections.abc', 'collections.abc', 'abc2')) r14 = __main__.globals :: static r15 = 'main' r16 = '' r17 = CPyImport_ImportMany(r13, r10, r14, r15, r16, r12) r18 = 'filler' r19 = __main__.globals :: static r20 = '_' r21 = CPyDict_SetItem(r19, r20, r18) r22 = r21 >= 0 :: signed r23 = load_address single :: module r24 = [r23] r25 = load_address r24 r26 = [6] r27 = load_address r26 r28 = (('single', 'single', 'single'),) r29 = __main__.globals :: static r30 = 'main' r31 = '' r32 = CPyImport_ImportMany(r28, r25, r29, r30, r31, r27) r33 = single :: module r34 = 'hello' r35 = CPyObject_GetAttr(r33, r34) r36 = PyObject_Vectorcall(r35, 0, 0, 0) return 1 [case testFromImport_toplevel] from testmodule import g, h from testmodule import h as two def f(x: int) -> int: return g(x) + h() + two() [file testmodule.py] def g(x: int) -> int: return x + 1 def h() -> int: return 2 [out] def f(x): x :: int r0 :: dict r1 :: str r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object r7 :: int r8 :: dict r9 :: str r10, r11 :: object r12, r13 :: int r14 :: dict r15 :: str r16, r17 :: object r18, r19 :: int L0: r0 = __main__.globals :: static r1 = 'g' r2 = CPyDict_GetItem(r0, r1) r3 = box(int, x) r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 r7 = unbox(int, r6) r8 = __main__.globals :: static r9 = 'h' r10 = CPyDict_GetItem(r8, r9) r11 = PyObject_Vectorcall(r10, 0, 0, 0) r12 = unbox(int, r11) r13 = CPyTagged_Add(r7, r12) r14 = __main__.globals :: static r15 = 'two' r16 = CPyDict_GetItem(r14, r15) r17 = PyObject_Vectorcall(r16, 0, 0, 0) r18 = unbox(int, r17) r19 = CPyTagged_Add(r13, r18) return r19 def __top_level__(): r0, r1 :: object r2 :: bit r3 :: str r4, r5 :: object r6 :: str r7 :: dict r8, r9, r10 :: object r11 :: str r12 :: dict r13 :: object L0: r0 = builtins :: module r1 = load_address _Py_NoneStruct r2 = r0 != r1 if r2 goto L2 else goto L1 :: bool L1: r3 = 'builtins' r4 = PyImport_Import(r3) builtins = r4 :: module L2: r5 = ('g', 'h') r6 = 'testmodule' r7 = __main__.globals :: static r8 = CPyImport_ImportFromMany(r6, r5, r5, r7) testmodule = r8 :: module r9 = ('h',) r10 = ('two',) r11 = 'testmodule' r12 = __main__.globals :: static r13 = CPyImport_ImportFromMany(r11, r9, r10, r12) testmodule = r13 :: module return 1 [case testPrintFullname] import builtins def f(x: int) -> None: builtins.print(5) [out] def f(x): x :: int r0 :: object r1 :: str r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object L0: r0 = builtins :: module r1 = 'print' r2 = CPyObject_GetAttr(r0, r1) r3 = object 5 r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 return 1 [case testPrint] import builtins def f(x: int) -> None: print(5) [out] def f(x): x :: int r0 :: object r1 :: str r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object L0: r0 = builtins :: module r1 = 'print' r2 = CPyObject_GetAttr(r0, r1) r3 = object 5 r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 return 1 [case testUnicodeLiteral] def f() -> str: x = "some string" return "some other string" [out] def f(): r0, x, r1 :: str L0: r0 = 'some string' x = r0 r1 = 'some other string' return r1 [case testBytesLiteral] def f() -> bytes: x = b'\xf0' return b'1234' [out] def f(): r0, x, r1 :: bytes L0: r0 = b'\xf0' x = r0 r1 = b'1234' return r1 [case testPyMethodCall1_64bit] from typing import Any def f(x: Any) -> int: y: int = x.pop() return x.pop() [out] def f(x): x :: object r0 :: str r1 :: object[1] r2 :: object_ptr r3 :: object r4, y :: int r5 :: str r6 :: object[1] r7 :: object_ptr r8 :: object r9 :: int L0: r0 = 'pop' r1 = [x] r2 = load_address r1 r3 = PyObject_VectorcallMethod(r0, r2, 9223372036854775809, 0) keep_alive x r4 = unbox(int, r3) y = r4 r5 = 'pop' r6 = [x] r7 = load_address r6 r8 = PyObject_VectorcallMethod(r5, r7, 9223372036854775809, 0) keep_alive x r9 = unbox(int, r8) return r9 [case testObjectType] def g(y: object) -> None: g(y) g([1]) g(None) [out] def g(y): y :: object r0 :: None r1 :: list r2 :: object r3 :: ptr r4 :: None r5 :: object r6 :: None L0: r0 = g(y) r1 = PyList_New(1) r2 = object 1 r3 = list_items r1 buf_init_item r3, 0, r2 keep_alive r1 r4 = g(r1) r5 = box(None, 1) r6 = g(r5) return 1 [case testCoerceToObject1] def g(y: object) -> object: g(1) a = [y] a[0] = (1, 2) y = True return 3 [out] def g(y): y, r0, r1 :: object r2 :: list r3 :: ptr a :: list r4 :: tuple[int, int] r5 :: object r6 :: bit r7, r8 :: object L0: r0 = object 1 r1 = g(r0) r2 = PyList_New(1) r3 = list_items r2 buf_init_item r3, 0, y keep_alive r2 a = r2 r4 = (2, 4) r5 = box(tuple[int, int], r4) r6 = CPyList_SetItem(a, 0, r5) r7 = box(bool, 1) y = r7 r8 = object 3 return r8 [case testCoerceToObject2] class A: x: object n: int def f(a: A, o: object) -> None: a.x = 1 o = a.n [out] def f(a, o): a :: __main__.A o, r0 :: object r1 :: bool r2 :: int r3 :: object L0: r0 = object 1 a.x = r0; r1 = is_error r2 = a.n r3 = box(int, r2) o = r3 return 1 [case testAssertType] from typing import assert_type def f(x: int) -> None: y = assert_type(x, int) [out] def f(x): x, y :: int L0: y = x return 1 [case testDownCast] from typing import cast, List, Tuple class A: pass def f(x: object) -> None: n = cast(int, x) b = cast(bool, x) a = cast(A, x) l = cast(List[int], x) t = cast(Tuple[int, A], x) [out] def f(x): x :: object r0, n :: int r1, b :: bool r2, a :: __main__.A r3, l :: list r4, t :: tuple[int, __main__.A] L0: r0 = unbox(int, x) n = r0 r1 = unbox(bool, x) b = r1 r2 = cast(__main__.A, x) a = r2 r3 = cast(list, x) l = r3 r4 = unbox(tuple[int, __main__.A], x) t = r4 return 1 [case testDownCastSpecialCases] from typing import cast, Optional, Tuple class A: pass def f(o: Optional[A], n: int, t: Tuple[int, ...], tt: Tuple[int, int]) -> None: a = cast(A, o) m = cast(bool, n) t = tt [out] def f(o, n, t, tt): o :: union[__main__.A, None] n :: int t :: tuple tt :: tuple[int, int] r0, a :: __main__.A r1 :: object r2, m :: bool r3 :: object L0: r0 = cast(__main__.A, o) a = r0 r1 = box(int, n) r2 = unbox(bool, r1) m = r2 r3 = box(tuple[int, int], tt) t = r3 return 1 [case testSuccessfulCast] from typing import cast, Optional, Tuple, List, Dict class A: pass def f(o: object, p: Optional[A], n: int, b: bool, t: Tuple[int, ...], s: Tuple[int, int], a: A, l: List[A], d: Dict[int, str]) -> None: o = cast(object, o) p = cast(Optional[A], p) n = cast(int, n) b = cast(bool, b) t = cast(Tuple[int, ...], t) s = cast(Tuple[int, int], s) o = cast(object, n) a = cast(A, a) l2 = cast(List[object], l) d2 = cast(Dict[object, str], d) [out] def f(o, p, n, b, t, s, a, l, d): o :: object p :: union[__main__.A, None] n :: int b :: bool t :: tuple s :: tuple[int, int] a :: __main__.A l :: list d :: dict r0 :: object l2 :: list d2 :: dict L0: o = o p = p n = n b = b t = t s = s r0 = box(int, n) o = r0 a = a l2 = l d2 = d return 1 [case testGenericSetItem] from typing import Any def f(x: Any, y: Any, z: Any) -> None: x[y] = z [out] def f(x, y, z): x, y, z :: object r0 :: i32 r1 :: bit L0: r0 = PyObject_SetItem(x, y, z) r1 = r0 >= 0 :: signed return 1 [case testLoadFloatSum] def assign_and_return_float_sum() -> float: f1 = 1.0 f2 = 2.0 f3 = 3.0 return f1 * f2 + f3 [out] def assign_and_return_float_sum(): f1, f2, f3, r0, r1 :: float L0: f1 = 1.0 f2 = 2.0 f3 = 3.0 r0 = f1 * f2 r1 = r0 + f3 return r1 [case testLoadComplex] def load() -> complex: real = 1 return 5j+real [out] def load(): real :: int r0, r1, r2 :: object L0: real = 2 r0 = 5j r1 = box(int, real) r2 = PyNumber_Add(r0, r1) return r2 [case testBigIntLiteral_64bit] def big_int() -> None: a_62_bit = 4611686018427387902 max_62_bit = 4611686018427387903 b_63_bit = 4611686018427387904 c_63_bit = 9223372036854775806 max_63_bit = 9223372036854775807 d_64_bit = 9223372036854775808 max_32_bit = 2147483647 max_31_bit = 1073741823 [out] def big_int(): a_62_bit, max_62_bit, r0, b_63_bit, r1, c_63_bit, r2, max_63_bit, r3, d_64_bit, max_32_bit, max_31_bit :: int L0: a_62_bit = 9223372036854775804 max_62_bit = 9223372036854775806 r0 = object 4611686018427387904 b_63_bit = r0 r1 = object 9223372036854775806 c_63_bit = r1 r2 = object 9223372036854775807 max_63_bit = r2 r3 = object 9223372036854775808 d_64_bit = r3 max_32_bit = 4294967294 max_31_bit = 2147483646 return 1 [case testBigIntLiteral_32bit] def big_int() -> None: a_62_bit = 4611686018427387902 max_62_bit = 4611686018427387903 b_63_bit = 4611686018427387904 c_63_bit = 9223372036854775806 max_63_bit = 9223372036854775807 d_64_bit = 9223372036854775808 max_32_bit = 2147483647 max_31_bit = 1073741823 [out] def big_int(): r0, a_62_bit, r1, max_62_bit, r2, b_63_bit, r3, c_63_bit, r4, max_63_bit, r5, d_64_bit, r6, max_32_bit, max_31_bit :: int L0: r0 = object 4611686018427387902 a_62_bit = r0 r1 = object 4611686018427387903 max_62_bit = r1 r2 = object 4611686018427387904 b_63_bit = r2 r3 = object 9223372036854775806 c_63_bit = r3 r4 = object 9223372036854775807 max_63_bit = r4 r5 = object 9223372036854775808 d_64_bit = r5 r6 = object 2147483647 max_32_bit = r6 max_31_bit = 2147483646 return 1 [case testCallableTypes] from typing import Callable, Any from m import f def absolute_value(x: int) -> int: return x if x > 0 else -x def call_native_function(x: int) -> int: return absolute_value(x) def call_python_function(x: int) -> int: return f(x) def return_float() -> float: return 5.0 def return_callable_type() -> Callable[[], float]: return return_float def call_callable_type() -> float: f = return_callable_type() return f() [file m.py] def f(x: int) -> int: return x [out] def absolute_value(x): x :: int r0 :: bit r1, r2 :: int L0: r0 = int_gt x, 0 if r0 goto L1 else goto L2 :: bool L1: r1 = x goto L3 L2: r2 = CPyTagged_Negate(x) r1 = r2 L3: return r1 def call_native_function(x): x, r0 :: int L0: r0 = absolute_value(x) return r0 def call_python_function(x): x :: int r0 :: dict r1 :: str r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object r7 :: int L0: r0 = __main__.globals :: static r1 = 'f' r2 = CPyDict_GetItem(r0, r1) r3 = box(int, x) r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 r7 = unbox(int, r6) return r7 def return_float(): L0: return 5.0 def return_callable_type(): r0 :: dict r1 :: str r2 :: object L0: r0 = __main__.globals :: static r1 = 'return_float' r2 = CPyDict_GetItem(r0, r1) return r2 def call_callable_type(): r0, f, r1 :: object r2 :: float L0: r0 = return_callable_type() f = r0 r1 = PyObject_Vectorcall(f, 0, 0, 0) r2 = unbox(float, r1) return r2 [case testCallableTypesWithKeywordArgs_64bit] from typing import List def call_python_function_with_keyword_arg(x: str) -> int: return int(x, base=2) def call_python_method_with_keyword_args(xs: List[int], first: int, second: int) -> List[int]: xs.insert(0, x=first) xs.insert(x=second, i=1) return xs [out] def call_python_function_with_keyword_arg(x): x :: str r0, r1 :: object r2 :: object[2] r3 :: object_ptr r4, r5 :: object r6 :: int L0: r0 = load_address PyLong_Type r1 = object 2 r2 = [x, r1] r3 = load_address r2 r4 = ('base',) r5 = PyObject_Vectorcall(r0, r3, 1, r4) keep_alive x, r1 r6 = unbox(int, r5) return r6 def call_python_method_with_keyword_args(xs, first, second): xs :: list first, second :: int r0 :: str r1, r2 :: object r3 :: object[3] r4 :: object_ptr r5, r6 :: object r7 :: str r8, r9 :: object r10 :: object[3] r11 :: object_ptr r12, r13 :: object L0: r0 = 'insert' r1 = object 0 r2 = box(int, first) r3 = [xs, r1, r2] r4 = load_address r3 r5 = ('x',) r6 = PyObject_VectorcallMethod(r0, r4, 9223372036854775810, r5) keep_alive xs, r1, r2 r7 = 'insert' r8 = box(int, second) r9 = object 1 r10 = [xs, r8, r9] r11 = load_address r10 r12 = ('x', 'i') r13 = PyObject_VectorcallMethod(r7, r11, 9223372036854775809, r12) keep_alive xs, r8, r9 return xs [case testObjectAsBoolean] from typing import List def obj(x: object) -> int: if x: return 1 else: return 0 def num(x: int) -> int: if x: return 1 else: return 0 def lst(x: List[int]) -> int: if x: return 1 else: return 0 [out] def obj(x): x :: object r0 :: i32 r1 :: bit r2 :: bool L0: r0 = PyObject_IsTrue(x) r1 = r0 >= 0 :: signed r2 = truncate r0: i32 to builtins.bool if r2 goto L1 else goto L2 :: bool L1: return 2 L2: return 0 L3: unreachable def num(x): x :: int r0 :: bit L0: r0 = x != 0 if r0 goto L1 else goto L2 :: bool L1: return 2 L2: return 0 L3: unreachable def lst(x): x :: list r0 :: native_int r1 :: short_int r2 :: bit L0: r0 = var_object_size x r1 = r0 << 1 r2 = int_ne r1, 0 if r2 goto L1 else goto L2 :: bool L1: return 2 L2: return 0 L3: unreachable [case testOptionalAsBoolean] from typing import Optional class A: pass def opt_int(x: Optional[int]) -> int: if x: return 1 else: return 0 def opt_a(x: Optional[A]) -> int: if x: return 1 else: return 0 def opt_o(x: Optional[object]) -> int: if x: return 1 else: return 0 [out] def opt_int(x): x :: union[int, None] r0 :: object r1 :: bit r2 :: int r3 :: bit L0: r0 = load_address _Py_NoneStruct r1 = x != r0 if r1 goto L1 else goto L3 :: bool L1: r2 = unbox(int, x) r3 = r2 != 0 if r3 goto L2 else goto L3 :: bool L2: return 2 L3: return 0 L4: unreachable def opt_a(x): x :: union[__main__.A, None] r0 :: object r1 :: bit L0: r0 = load_address _Py_NoneStruct r1 = x != r0 if r1 goto L1 else goto L2 :: bool L1: return 2 L2: return 0 L3: unreachable def opt_o(x): x :: union[object, None] r0 :: object r1 :: bit r2 :: object r3 :: i32 r4 :: bit r5 :: bool L0: r0 = load_address _Py_NoneStruct r1 = x != r0 if r1 goto L1 else goto L3 :: bool L1: r2 = cast(object, x) r3 = PyObject_IsTrue(r2) r4 = r3 >= 0 :: signed r5 = truncate r3: i32 to builtins.bool if r5 goto L2 else goto L3 :: bool L2: return 2 L3: return 0 L4: unreachable [case testRaise] def foo() -> None: raise Exception() def bar() -> None: raise Exception [out] def foo(): r0 :: object r1 :: str r2, r3 :: object L0: r0 = builtins :: module r1 = 'Exception' r2 = CPyObject_GetAttr(r0, r1) r3 = PyObject_Vectorcall(r2, 0, 0, 0) CPy_Raise(r3) unreachable def bar(): r0 :: object r1 :: str r2 :: object L0: r0 = builtins :: module r1 = 'Exception' r2 = CPyObject_GetAttr(r0, r1) CPy_Raise(r2) unreachable [case testModuleTopLevel_toplevel] x = 1 print(x) def f() -> None: print(x) [out] def f(): r0 :: dict r1 :: str r2 :: object r3 :: int r4 :: object r5 :: str r6, r7 :: object r8 :: object[1] r9 :: object_ptr r10 :: object L0: r0 = __main__.globals :: static r1 = 'x' r2 = CPyDict_GetItem(r0, r1) r3 = unbox(int, r2) r4 = builtins :: module r5 = 'print' r6 = CPyObject_GetAttr(r4, r5) r7 = box(int, r3) r8 = [r7] r9 = load_address r8 r10 = PyObject_Vectorcall(r6, r9, 1, 0) keep_alive r7 return 1 def __top_level__(): r0, r1 :: object r2 :: bit r3 :: str r4 :: object r5 :: dict r6 :: str r7 :: object r8 :: i32 r9 :: bit r10 :: dict r11 :: str r12 :: object r13 :: int r14 :: object r15 :: str r16, r17 :: object r18 :: object[1] r19 :: object_ptr r20 :: object L0: r0 = builtins :: module r1 = load_address _Py_NoneStruct r2 = r0 != r1 if r2 goto L2 else goto L1 :: bool L1: r3 = 'builtins' r4 = PyImport_Import(r3) builtins = r4 :: module L2: r5 = __main__.globals :: static r6 = 'x' r7 = object 1 r8 = CPyDict_SetItem(r5, r6, r7) r9 = r8 >= 0 :: signed r10 = __main__.globals :: static r11 = 'x' r12 = CPyDict_GetItem(r10, r11) r13 = unbox(int, r12) r14 = builtins :: module r15 = 'print' r16 = CPyObject_GetAttr(r14, r15) r17 = box(int, r13) r18 = [r17] r19 = load_address r18 r20 = PyObject_Vectorcall(r16, r19, 1, 0) keep_alive r17 return 1 [case testCallOverloaded] import m def f() -> str: return m.f(1) [file m.pyi] from typing import overload @overload def f(x: int) -> str: ... @overload def f(x: str) -> int: ... [out] def f(): r0 :: object r1 :: str r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object r7 :: str L0: r0 = m :: module r1 = 'f' r2 = CPyObject_GetAttr(r0, r1) r3 = object 1 r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 r7 = cast(str, r6) return r7 [case testCallOverloadedNative] from typing import overload, Union @overload def foo(x: int) -> int: ... @overload def foo(x: str) -> str: ... def foo(x: Union[int, str]) -> Union[int, str]: return x def main() -> None: x = foo(0) [out] def foo(x): x :: union[int, str] L0: return x def main(): r0 :: object r1 :: union[int, str] r2, x :: int L0: r0 = object 0 r1 = foo(r0) r2 = unbox(int, r1) x = r2 return 1 [case testCallOverloadedNativeSubclass] from typing import overload, Union class A: x: int class B(A): y: int @overload def foo(x: int) -> B: ... @overload def foo(x: Union[int, str]) -> A: ... def foo(x: Union[int, str]) -> A: if isinstance(x, int): return B() return A() def main() -> None: x = foo(0) [out] def foo(x): x :: union[int, str] r0 :: bit r1 :: __main__.B r2 :: __main__.A L0: r0 = PyLong_Check(x) if r0 goto L1 else goto L2 :: bool L1: r1 = B() return r1 L2: r2 = A() return r2 def main(): r0 :: object r1 :: __main__.A r2, x :: __main__.B L0: r0 = object 0 r1 = foo(r0) r2 = cast(__main__.B, r1) x = r2 return 1 [case testFunctionCallWithKeywordArgs] def f(x: int, y: str) -> None: pass def g() -> None: f(y='a', x=0) f(1, y='b') [out] def f(x, y): x :: int y :: str L0: return 1 def g(): r0 :: str r1 :: None r2 :: str r3 :: None L0: r0 = 'a' r1 = f(0, r0) r2 = 'b' r3 = f(2, r2) return 1 [case testMethodCallWithKeywordArgs] class A: def f(self, x: int, y: str) -> None: pass def g(a: A) -> None: a.f(y='a', x=0) a.f(1, y='b') [out] def A.f(self, x, y): self :: __main__.A x :: int y :: str L0: return 1 def g(a): a :: __main__.A r0 :: str r1 :: None r2 :: str r3 :: None L0: r0 = 'a' r1 = a.f(0, r0) r2 = 'b' r3 = a.f(2, r2) return 1 [case testStarArgs] from typing import Tuple def f(a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c def g() -> Tuple[int, int, int]: return f(*(1, 2, 3)) def h() -> Tuple[int, int, int]: return f(1, *(2, 3)) [out] def f(a, b, c): a, b, c :: int r0 :: tuple[int, int, int] L0: r0 = (a, b, c) return r0 def g(): r0 :: tuple[int, int, int] r1 :: dict r2 :: str r3, r4, r5 :: object r6 :: tuple[int, int, int] L0: r0 = (2, 4, 6) r1 = __main__.globals :: static r2 = 'f' r3 = CPyDict_GetItem(r1, r2) r4 = box(tuple[int, int, int], r0) r5 = PyObject_CallObject(r3, r4) r6 = unbox(tuple[int, int, int], r5) return r6 def h(): r0 :: tuple[int, int] r1 :: dict r2 :: str r3 :: object r4 :: list r5 :: object r6 :: ptr r7, r8 :: object r9 :: tuple r10 :: object r11 :: tuple[int, int, int] L0: r0 = (4, 6) r1 = __main__.globals :: static r2 = 'f' r3 = CPyDict_GetItem(r1, r2) r4 = PyList_New(1) r5 = object 1 r6 = list_items r4 buf_init_item r6, 0, r5 keep_alive r4 r7 = box(tuple[int, int], r0) r8 = CPyList_Extend(r4, r7) r9 = PyList_AsTuple(r4) r10 = PyObject_CallObject(r3, r9) r11 = unbox(tuple[int, int, int], r10) return r11 [case testStar2Args] from typing import Tuple def f(a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c def g() -> Tuple[int, int, int]: return f(**{'a': 1, 'b': 2, 'c': 3}) def h() -> Tuple[int, int, int]: return f(1, **{'b': 2, 'c': 3}) [out] def f(a, b, c): a, b, c :: int r0 :: tuple[int, int, int] L0: r0 = (a, b, c) return r0 def g(): r0, r1, r2 :: str r3, r4, r5 :: object r6, r7 :: dict r8 :: str r9 :: object r10 :: tuple r11 :: dict r12 :: object r13 :: tuple[int, int, int] L0: r0 = 'a' r1 = 'b' r2 = 'c' r3 = object 1 r4 = object 2 r5 = object 3 r6 = CPyDict_Build(3, r0, r3, r1, r4, r2, r5) r7 = __main__.globals :: static r8 = 'f' r9 = CPyDict_GetItem(r7, r8) r10 = CPyTuple_LoadEmptyTupleConstant() r11 = PyDict_Copy(r6) r12 = PyObject_Call(r9, r10, r11) r13 = unbox(tuple[int, int, int], r12) return r13 def h(): r0, r1 :: str r2, r3 :: object r4, r5 :: dict r6 :: str r7 :: object r8 :: dict r9 :: i32 r10 :: bit r11 :: object r12 :: tuple r13 :: object r14 :: tuple[int, int, int] L0: r0 = 'b' r1 = 'c' r2 = object 2 r3 = object 3 r4 = CPyDict_Build(2, r0, r2, r1, r3) r5 = __main__.globals :: static r6 = 'f' r7 = CPyDict_GetItem(r5, r6) r8 = PyDict_New() r9 = CPyDict_UpdateInDisplay(r8, r4) r10 = r9 >= 0 :: signed r11 = object 1 r12 = PyTuple_Pack(1, r11) r13 = PyObject_Call(r7, r12, r8) r14 = unbox(tuple[int, int, int], r13) return r14 [case testFunctionCallWithDefaultArgs] def f(x: int, y: int = 3, z: str = "test") -> None: return None def g() -> None: f(2) f(y = 3, x = 6) [out] def f(x, y, z): x, y :: int z, r0 :: str L0: if is_error(y) goto L1 else goto L2 L1: y = 6 L2: if is_error(z) goto L3 else goto L4 L3: r0 = 'test' z = r0 L4: return 1 def g(): r0 :: int r1 :: str r2 :: None r3 :: str r4 :: None L0: r0 = :: int r1 = :: str r2 = f(4, r0, r1) r3 = :: str r4 = f(12, 6, r3) return 1 [case testMethodCallWithDefaultArgs] class A: def f(self, x: int, y: int = 3, z: str = "test") -> None: return None def g() -> None: a = A() a.f(2) a.f(y = 3, x = 6) [out] def A.f(self, x, y, z): self :: __main__.A x, y :: int z, r0 :: str L0: if is_error(y) goto L1 else goto L2 L1: y = 6 L2: if is_error(z) goto L3 else goto L4 L3: r0 = 'test' z = r0 L4: return 1 def g(): r0, a :: __main__.A r1 :: int r2 :: str r3 :: None r4 :: str r5 :: None L0: r0 = A() a = r0 r1 = :: int r2 = :: str r3 = a.f(4, r1, r2) r4 = :: str r5 = a.f(12, 6, r4) return 1 [case testListComprehension] from typing import List def f() -> List[int]: return [x*x for x in [1,2,3] if x != 2 if x != 3] [out] def f(): r0, r1 :: list r2, r3, r4 :: object r5 :: ptr r6, r7 :: native_int r8 :: bit r9 :: object r10, x :: int r11, r12 :: bit r13 :: int r14 :: object r15 :: i32 r16 :: bit r17 :: native_int L0: r0 = PyList_New(0) r1 = PyList_New(3) r2 = object 1 r3 = object 2 r4 = object 3 r5 = list_items r1 buf_init_item r5, 0, r2 buf_init_item r5, 1, r3 buf_init_item r5, 2, r4 keep_alive r1 r6 = 0 L1: r7 = var_object_size r1 r8 = r6 < r7 :: signed if r8 goto L2 else goto L8 :: bool L2: r9 = list_get_item_unsafe r1, r6 r10 = unbox(int, r9) x = r10 r11 = int_ne x, 4 if r11 goto L4 else goto L3 :: bool L3: goto L7 L4: r12 = int_ne x, 6 if r12 goto L6 else goto L5 :: bool L5: goto L7 L6: r13 = CPyTagged_Multiply(x, x) r14 = box(int, r13) r15 = PyList_Append(r0, r14) r16 = r15 >= 0 :: signed L7: r17 = r6 + 1 r6 = r17 goto L1 L8: return r0 [case testDictComprehension] from typing import Dict def f() -> Dict[int, int]: return {x: x*x for x in [1,2,3] if x != 2 if x != 3} [out] def f(): r0 :: dict r1 :: list r2, r3, r4 :: object r5 :: ptr r6, r7 :: native_int r8 :: bit r9 :: object r10, x :: int r11, r12 :: bit r13 :: int r14, r15 :: object r16 :: i32 r17 :: bit r18 :: native_int L0: r0 = PyDict_New() r1 = PyList_New(3) r2 = object 1 r3 = object 2 r4 = object 3 r5 = list_items r1 buf_init_item r5, 0, r2 buf_init_item r5, 1, r3 buf_init_item r5, 2, r4 keep_alive r1 r6 = 0 L1: r7 = var_object_size r1 r8 = r6 < r7 :: signed if r8 goto L2 else goto L8 :: bool L2: r9 = list_get_item_unsafe r1, r6 r10 = unbox(int, r9) x = r10 r11 = int_ne x, 4 if r11 goto L4 else goto L3 :: bool L3: goto L7 L4: r12 = int_ne x, 6 if r12 goto L6 else goto L5 :: bool L5: goto L7 L6: r13 = CPyTagged_Multiply(x, x) r14 = box(int, x) r15 = box(int, r13) r16 = PyDict_SetItem(r0, r14, r15) r17 = r16 >= 0 :: signed L7: r18 = r6 + 1 r6 = r18 goto L1 L8: return r0 [case testLoopsMultipleAssign] from typing import List, Tuple def f(l: List[Tuple[int, int, int]]) -> List[int]: for x, y, z in l: pass return [x+y+z for x, y, z in l] [out] def f(l): l :: list r0, r1 :: native_int r2 :: bit r3 :: object r4 :: tuple[int, int, int] r5, x, r6, y, r7, z :: int r8, r9 :: native_int r10 :: list r11, r12 :: native_int r13 :: bit r14 :: object r15 :: tuple[int, int, int] r16, x_2, r17, y_2, r18, z_2, r19, r20 :: int r21 :: object r22 :: native_int L0: r0 = 0 L1: r1 = var_object_size l r2 = r0 < r1 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = list_get_item_unsafe l, r0 r4 = unbox(tuple[int, int, int], r3) r5 = r4[0] x = r5 r6 = r4[1] y = r6 r7 = r4[2] z = r7 L3: r8 = r0 + 1 r0 = r8 goto L1 L4: r9 = var_object_size l r10 = PyList_New(r9) r11 = 0 L5: r12 = var_object_size l r13 = r11 < r12 :: signed if r13 goto L6 else goto L8 :: bool L6: r14 = list_get_item_unsafe l, r11 r15 = unbox(tuple[int, int, int], r14) r16 = r15[0] x_2 = r16 r17 = r15[1] y_2 = r17 r18 = r15[2] z_2 = r18 r19 = CPyTagged_Add(x_2, y_2) r20 = CPyTagged_Add(r19, z_2) r21 = box(int, r20) CPyList_SetItemUnsafe(r10, r11, r21) L7: r22 = r11 + 1 r11 = r22 goto L5 L8: return r10 [case testProperty] class PropertyHolder: @property def value(self) -> int: return self.left + self.right if self.is_add else self.left - self.right def __init__(self, left: int, right: int, is_add: bool) -> None: self.left = left self.right = right self.is_add = is_add def twice_value(self) -> int: return 2 * self.value [out] def PropertyHolder.value(self): self :: __main__.PropertyHolder r0 :: bool r1, r2, r3, r4, r5, r6, r7 :: int L0: r0 = self.is_add if r0 goto L1 else goto L2 :: bool L1: r1 = borrow self.left r2 = borrow self.right r3 = CPyTagged_Add(r1, r2) keep_alive self, self r4 = r3 goto L3 L2: r5 = borrow self.left r6 = borrow self.right r7 = CPyTagged_Subtract(r5, r6) keep_alive self, self r4 = r7 L3: return r4 def PropertyHolder.__init__(self, left, right, is_add): self :: __main__.PropertyHolder left, right :: int is_add :: bool L0: self.left = left self.right = right self.is_add = is_add return 1 def PropertyHolder.twice_value(self): self :: __main__.PropertyHolder r0, r1 :: int L0: r0 = self.value r1 = CPyTagged_Multiply(4, r0) return r1 [case testNativeIndex] from typing import List class A: def __getitem__(self, index: int) -> int: pass def g(a: A, b: List[int], c: int) -> int: return a[c] + b[c] [out] def A.__getitem__(self, index): self :: __main__.A index :: int L0: unreachable def g(a, b, c): a :: __main__.A b :: list c, r0 :: int r1 :: object r2, r3 :: int L0: r0 = a.__getitem__(c) r1 = CPyList_GetItemBorrow(b, c) r2 = unbox(int, r1) r3 = CPyTagged_Add(r0, r2) keep_alive b, c return r3 [case testTypeAlias_toplevel] from typing import List, NewType, NamedTuple Lol = NamedTuple('Lol', (('a', int), ('b', str))) x = Lol(1, '') Foo = List[int] Bar = NewType('Bar', Foo) y = Bar([1,2,3]) [out] def __top_level__(): r0, r1 :: object r2 :: bit r3 :: str r4, r5 :: object r6 :: str r7 :: dict r8 :: object r9, r10 :: str r11 :: object r12 :: tuple[str, object] r13 :: object r14 :: str r15 :: object r16 :: tuple[str, object] r17 :: object r18 :: tuple[object, object] r19 :: object r20 :: dict r21 :: str r22 :: object r23 :: object[2] r24 :: object_ptr r25 :: object r26 :: dict r27 :: str r28 :: i32 r29 :: bit r30 :: str r31 :: dict r32 :: str r33, r34 :: object r35 :: object[2] r36 :: object_ptr r37 :: object r38 :: tuple r39 :: dict r40 :: str r41 :: i32 r42 :: bit r43 :: dict r44 :: str r45, r46, r47 :: object r48 :: dict r49 :: str r50 :: i32 r51 :: bit r52 :: str r53 :: dict r54 :: str r55 :: object r56 :: dict r57 :: str r58 :: object r59 :: object[2] r60 :: object_ptr r61 :: object r62 :: dict r63 :: str r64 :: i32 r65 :: bit r66 :: list r67, r68, r69 :: object r70 :: ptr r71 :: dict r72 :: str r73 :: i32 r74 :: bit L0: r0 = builtins :: module r1 = load_address _Py_NoneStruct r2 = r0 != r1 if r2 goto L2 else goto L1 :: bool L1: r3 = 'builtins' r4 = PyImport_Import(r3) builtins = r4 :: module L2: r5 = ('List', 'NewType', 'NamedTuple') r6 = 'typing' r7 = __main__.globals :: static r8 = CPyImport_ImportFromMany(r6, r5, r5, r7) typing = r8 :: module r9 = 'Lol' r10 = 'a' r11 = load_address PyLong_Type r12 = (r10, r11) r13 = box(tuple[str, object], r12) r14 = 'b' r15 = load_address PyUnicode_Type r16 = (r14, r15) r17 = box(tuple[str, object], r16) r18 = (r13, r17) r19 = box(tuple[object, object], r18) r20 = __main__.globals :: static r21 = 'NamedTuple' r22 = CPyDict_GetItem(r20, r21) r23 = [r9, r19] r24 = load_address r23 r25 = PyObject_Vectorcall(r22, r24, 2, 0) keep_alive r9, r19 r26 = __main__.globals :: static r27 = 'Lol' r28 = CPyDict_SetItem(r26, r27, r25) r29 = r28 >= 0 :: signed r30 = '' r31 = __main__.globals :: static r32 = 'Lol' r33 = CPyDict_GetItem(r31, r32) r34 = object 1 r35 = [r34, r30] r36 = load_address r35 r37 = PyObject_Vectorcall(r33, r36, 2, 0) keep_alive r34, r30 r38 = cast(tuple, r37) r39 = __main__.globals :: static r40 = 'x' r41 = CPyDict_SetItem(r39, r40, r38) r42 = r41 >= 0 :: signed r43 = __main__.globals :: static r44 = 'List' r45 = CPyDict_GetItem(r43, r44) r46 = load_address PyLong_Type r47 = PyObject_GetItem(r45, r46) r48 = __main__.globals :: static r49 = 'Foo' r50 = CPyDict_SetItem(r48, r49, r47) r51 = r50 >= 0 :: signed r52 = 'Bar' r53 = __main__.globals :: static r54 = 'Foo' r55 = CPyDict_GetItem(r53, r54) r56 = __main__.globals :: static r57 = 'NewType' r58 = CPyDict_GetItem(r56, r57) r59 = [r52, r55] r60 = load_address r59 r61 = PyObject_Vectorcall(r58, r60, 2, 0) keep_alive r52, r55 r62 = __main__.globals :: static r63 = 'Bar' r64 = CPyDict_SetItem(r62, r63, r61) r65 = r64 >= 0 :: signed r66 = PyList_New(3) r67 = object 1 r68 = object 2 r69 = object 3 r70 = list_items r66 buf_init_item r70, 0, r67 buf_init_item r70, 1, r68 buf_init_item r70, 2, r69 keep_alive r66 r71 = __main__.globals :: static r72 = 'y' r73 = CPyDict_SetItem(r71, r72, r66) r74 = r73 >= 0 :: signed return 1 [case testChainedConditional] def g(x: int) -> int: return x def f(x: int, y: int, z: int) -> bool: return g(x) < g(y) > g(z) [out] def g(x): x :: int L0: return x def f(x, y, z): x, y, z, r0, r1 :: int r2 :: bit r3 :: bool r4 :: int r5 :: bit L0: r0 = g(x) r1 = g(y) r2 = int_lt r0, r1 if r2 goto L2 else goto L1 :: bool L1: r3 = r2 goto L3 L2: r4 = g(z) r5 = int_gt r1, r4 r3 = r5 L3: return r3 [case testEq] class A: def __eq__(self, x: object) -> bool: return NotImplemented [out] def A.__eq__(self, x): self :: __main__.A x, r0 :: object L0: r0 = load_address _Py_NotImplementedStruct return r0 def A.__ne__(__mypyc_self__, rhs): __mypyc_self__ :: __main__.A rhs, r0, r1 :: object r2 :: bit r3 :: object r4, r5 :: bit r6 :: object r7 :: bit r8 :: i32 r9 :: bit r10 :: bool r11 :: object L0: r0 = __mypyc_self__.__eq__(rhs) r1 = load_address _Py_NotImplementedStruct r2 = r0 == r1 if r2 goto L7 else goto L1 :: bool L1: r3 = load_global Py_True :: static r4 = r0 == r3 if r4 goto L2 else goto L3 :: bool L2: r5 = 0 goto L6 L3: r6 = load_global Py_False :: static r7 = r0 == r6 if r7 goto L4 else goto L5 :: bool L4: r5 = 1 goto L6 L5: r8 = PyObject_Not(r0) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool r5 = r10 L6: r11 = box(bit, r5) return r11 L7: return r1 [case testDecorators_toplevel] from typing import Callable def a(f: Callable[[], None]) -> Callable[[], None]: def g() -> None: print('Entering') f() print('Exited') return g def b(f: Callable[[], None]) -> Callable[[], None]: def g() -> None: print('---') f() print('---') return g @a @b def c() -> None: @a @b def d() -> None: print('d') print('c') d() [out] def g_a_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def g_a_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.g_a_obj r0 :: __main__.a_env r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7, r8, r9 :: object r10 :: str r11 :: object r12 :: str r13 :: object r14 :: object[1] r15 :: object_ptr r16 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = 'Entering' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 r8 = r0.f r9 = PyObject_Vectorcall(r8, 0, 0, 0) r10 = 'Exited' r11 = builtins :: module r12 = 'print' r13 = CPyObject_GetAttr(r11, r12) r14 = [r10] r15 = load_address r14 r16 = PyObject_Vectorcall(r13, r15, 1, 0) keep_alive r10 return 1 def a(f): f :: object r0 :: __main__.a_env r1 :: bool r2 :: __main__.g_a_obj r3 :: bool g :: object L0: r0 = a_env() r0.f = f; r1 = is_error r2 = g_a_obj() r2.__mypyc_env__ = r0; r3 = is_error g = r2 return g def g_b_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def g_b_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.g_b_obj r0 :: __main__.b_env r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7, r8, r9 :: object r10 :: str r11 :: object r12 :: str r13 :: object r14 :: object[1] r15 :: object_ptr r16 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = '---' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 r8 = r0.f r9 = PyObject_Vectorcall(r8, 0, 0, 0) r10 = '---' r11 = builtins :: module r12 = 'print' r13 = CPyObject_GetAttr(r11, r12) r14 = [r10] r15 = load_address r14 r16 = PyObject_Vectorcall(r13, r15, 1, 0) keep_alive r10 return 1 def b(f): f :: object r0 :: __main__.b_env r1 :: bool r2 :: __main__.g_b_obj r3 :: bool g :: object L0: r0 = b_env() r0.f = f; r1 = is_error r2 = g_b_obj() r2.__mypyc_env__ = r0; r3 = is_error g = r2 return g def d_c_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def d_c_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.d_c_obj r0 :: __main__.c_env r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = 'd' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 return 1 def c(): r0 :: __main__.c_env r1 :: __main__.d_c_obj r2 :: bool r3 :: dict r4 :: str r5 :: object r6 :: object[1] r7 :: object_ptr r8 :: object r9 :: dict r10 :: str r11 :: object r12 :: object[1] r13 :: object_ptr r14, d :: object r15 :: dict r16 :: str r17 :: i32 r18 :: bit r19 :: str r20 :: object r21 :: str r22 :: object r23 :: object[1] r24 :: object_ptr r25, r26 :: object L0: r0 = c_env() r1 = d_c_obj() r1.__mypyc_env__ = r0; r2 = is_error r3 = __main__.globals :: static r4 = 'b' r5 = CPyDict_GetItem(r3, r4) r6 = [r1] r7 = load_address r6 r8 = PyObject_Vectorcall(r5, r7, 1, 0) keep_alive r1 r9 = __main__.globals :: static r10 = 'a' r11 = CPyDict_GetItem(r9, r10) r12 = [r8] r13 = load_address r12 r14 = PyObject_Vectorcall(r11, r13, 1, 0) keep_alive r8 d = r14 r15 = __main__.globals :: static r16 = 'd' r17 = PyDict_SetItem(r15, r16, r14) r18 = r17 >= 0 :: signed r19 = 'c' r20 = builtins :: module r21 = 'print' r22 = CPyObject_GetAttr(r20, r21) r23 = [r19] r24 = load_address r23 r25 = PyObject_Vectorcall(r22, r24, 1, 0) keep_alive r19 r26 = PyObject_Vectorcall(d, 0, 0, 0) return 1 def __top_level__(): r0, r1 :: object r2 :: bit r3 :: str r4, r5 :: object r6 :: str r7 :: dict r8 :: object r9 :: dict r10 :: str r11 :: object r12 :: dict r13 :: str r14 :: object r15 :: object[1] r16 :: object_ptr r17 :: object r18 :: dict r19 :: str r20 :: object r21 :: object[1] r22 :: object_ptr r23 :: object r24 :: dict r25 :: str r26 :: i32 r27 :: bit L0: r0 = builtins :: module r1 = load_address _Py_NoneStruct r2 = r0 != r1 if r2 goto L2 else goto L1 :: bool L1: r3 = 'builtins' r4 = PyImport_Import(r3) builtins = r4 :: module L2: r5 = ('Callable',) r6 = 'typing' r7 = __main__.globals :: static r8 = CPyImport_ImportFromMany(r6, r5, r5, r7) typing = r8 :: module r9 = __main__.globals :: static r10 = 'c' r11 = CPyDict_GetItem(r9, r10) r12 = __main__.globals :: static r13 = 'b' r14 = CPyDict_GetItem(r12, r13) r15 = [r11] r16 = load_address r15 r17 = PyObject_Vectorcall(r14, r16, 1, 0) keep_alive r11 r18 = __main__.globals :: static r19 = 'a' r20 = CPyDict_GetItem(r18, r19) r21 = [r17] r22 = load_address r21 r23 = PyObject_Vectorcall(r20, r22, 1, 0) keep_alive r17 r24 = __main__.globals :: static r25 = 'c' r26 = PyDict_SetItem(r24, r25, r23) r27 = r26 >= 0 :: signed return 1 [case testDecoratorsSimple_toplevel] from typing import Callable def a(f: Callable[[], None]) -> Callable[[], None]: def g() -> None: print('Entering') f() print('Exited') return g [out] def g_a_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def g_a_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.g_a_obj r0 :: __main__.a_env r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7, r8, r9 :: object r10 :: str r11 :: object r12 :: str r13 :: object r14 :: object[1] r15 :: object_ptr r16 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = 'Entering' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 r8 = r0.f r9 = PyObject_Vectorcall(r8, 0, 0, 0) r10 = 'Exited' r11 = builtins :: module r12 = 'print' r13 = CPyObject_GetAttr(r11, r12) r14 = [r10] r15 = load_address r14 r16 = PyObject_Vectorcall(r13, r15, 1, 0) keep_alive r10 return 1 def a(f): f :: object r0 :: __main__.a_env r1 :: bool r2 :: __main__.g_a_obj r3 :: bool g :: object L0: r0 = a_env() r0.f = f; r1 = is_error r2 = g_a_obj() r2.__mypyc_env__ = r0; r3 = is_error g = r2 return g def __top_level__(): r0, r1 :: object r2 :: bit r3 :: str r4, r5 :: object r6 :: str r7 :: dict r8 :: object L0: r0 = builtins :: module r1 = load_address _Py_NoneStruct r2 = r0 != r1 if r2 goto L2 else goto L1 :: bool L1: r3 = 'builtins' r4 = PyImport_Import(r3) builtins = r4 :: module L2: r5 = ('Callable',) r6 = 'typing' r7 = __main__.globals :: static r8 = CPyImport_ImportFromMany(r6, r5, r5, r7) typing = r8 :: module return 1 [case testAnyAllG] from typing import Iterable def call_any(l: Iterable[int]) -> bool: return any(i == 0 for i in l) def call_all(l: Iterable[int]) -> bool: return all(i == 0 for i in l) [out] def call_any(l): l :: object r0 :: bool r1, r2 :: object r3, i :: int r4, r5 :: bit L0: r0 = 0 r1 = PyObject_GetIter(l) L1: r2 = PyIter_Next(r1) if is_error(r2) goto L6 else goto L2 L2: r3 = unbox(int, r2) i = r3 r4 = int_eq i, 0 if r4 goto L3 else goto L4 :: bool L3: r0 = 1 goto L8 L4: L5: goto L1 L6: r5 = CPy_NoErrOccurred() L7: L8: return r0 def call_all(l): l :: object r0 :: bool r1, r2 :: object r3, i :: int r4, r5, r6 :: bit L0: r0 = 1 r1 = PyObject_GetIter(l) L1: r2 = PyIter_Next(r1) if is_error(r2) goto L6 else goto L2 L2: r3 = unbox(int, r2) i = r3 r4 = int_eq i, 0 r5 = r4 ^ 1 if r5 goto L3 else goto L4 :: bool L3: r0 = 0 goto L8 L4: L5: goto L1 L6: r6 = CPy_NoErrOccurred() L7: L8: return r0 [case testSum] from typing import Callable, Iterable def call_sum(l: Iterable[int], comparison: Callable[[int], bool]) -> int: return sum(comparison(x) for x in l) [out] def call_sum(l, comparison): l, comparison :: object r0 :: int r1, r2 :: object r3, x :: int r4 :: object r5 :: object[1] r6 :: object_ptr r7 :: object r8, r9 :: bool r10, r11 :: int r12 :: bit L0: r0 = 0 r1 = PyObject_GetIter(l) L1: r2 = PyIter_Next(r1) if is_error(r2) goto L4 else goto L2 L2: r3 = unbox(int, r2) x = r3 r4 = box(int, x) r5 = [r4] r6 = load_address r5 r7 = PyObject_Vectorcall(comparison, r6, 1, 0) keep_alive r4 r8 = unbox(bool, r7) r9 = r8 << 1 r10 = extend r9: builtins.bool to builtins.int r11 = CPyTagged_Add(r0, r10) r0 = r11 L3: goto L1 L4: r12 = CPy_NoErrOccurred() L5: return r0 [case testSetAttr1] from typing import Any, Dict, List def lol(x: Any): setattr(x, 'x', '5') [out] def lol(x): x :: object r0, r1 :: str r2 :: i32 r3 :: bit r4 :: object L0: r0 = 'x' r1 = '5' r2 = PyObject_SetAttr(x, r0, r1) r3 = r2 >= 0 :: signed r4 = box(None, 1) return r4 [case testFinalModuleInt] from typing import Final x: Final = 1 y: Final = 2 def f(a: bool) -> int: if a: return x else: return y [out] def f(a): a :: bool L0: if a goto L1 else goto L2 :: bool L1: return 2 L2: return 4 L3: unreachable [case testFinalModuleStr] from typing import Final x: Final = 'x' y: Final = 'y' def f(a: bool) -> str: if a: return x else: return y [out] def f(a): a :: bool r0, r1 :: str L0: if a goto L1 else goto L2 :: bool L1: r0 = 'x' return r0 L2: r1 = 'y' return r1 L3: unreachable [case testFinalModuleBool] from typing import Final x: Final = True y: Final = False def f(a: bool) -> bool: if a: return x else: return y [out] def f(a): a :: bool L0: if a goto L1 else goto L2 :: bool L1: return 1 L2: return 0 L3: unreachable [case testFinalClass] from typing import Final class C: x: Final = 1 y: Final = 2 def f(a: bool) -> int: if a: return C.x else: return C.y [out] def C.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.C L0: __mypyc_self__.x = 2 __mypyc_self__.y = 4 return 1 def f(a): a :: bool L0: if a goto L1 else goto L2 :: bool L1: return 2 L2: return 4 L3: unreachable [case testFinalStaticList] from typing import Final x: Final = [1] def f() -> int: return x[0] [out] def f(): r0 :: list r1 :: bool r2 :: object r3 :: int L0: r0 = __main__.x :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "x" was not set') unreachable L2: r2 = CPyList_GetItemShort(r0, 0) r3 = unbox(int, r2) return r3 [case testFinalStaticTuple] from typing import Final x: Final = (1, 2) def f() -> int: return x[0] [out] def f(): r0 :: tuple[int, int] r1 :: bool r2 :: int L0: r0 = __main__.x :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "x" was not set') unreachable L2: r2 = r0[0] return r2 [case testFinalStaticInt] from typing import Final x: Final = 1 + int() def f() -> int: return x - 1 [out] def f(): r0 :: int r1 :: bool r2 :: int L0: r0 = __main__.x :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "x" was not set') unreachable L2: r2 = CPyTagged_Subtract(r0, 2) return r2 [case testFinalRestrictedTypeVar] from typing import TypeVar if False: from typing import Final FOO = 10 # type: Final Targ = TypeVar('Targ', int, str) def foo(z: Targ) -> None: FOO [out] def foo(z): z :: object L0: return 1 [case testFinalLocals] from typing import Final def inlined() -> str: # XXX: the final type must be declared explicitly for Var.final_value to be set. const: Final[str] = "Oppenheimer" return const def local() -> str: const: Final[str] = inlined() return const [out] def inlined(): r0, const, r1 :: str L0: r0 = 'Oppenheimer' const = r0 r1 = 'Oppenheimer' return r1 def local(): r0, const :: str L0: r0 = inlined() const = r0 return const [case testDirectlyCall__bool__] class A: def __bool__(self) -> bool: return True class B(A): def __bool__(self) -> bool: return False def lol(x: A) -> int: if x: return 1 else: return 0 [out] def A.__bool__(self): self :: __main__.A L0: return 1 def B.__bool__(self): self :: __main__.B L0: return 0 def lol(x): x :: __main__.A r0 :: bool L0: r0 = x.__bool__() if r0 goto L1 else goto L2 :: bool L1: return 2 L2: return 0 L3: unreachable [case testRevealType] def f(x: int) -> None: reveal_type(x) # type: ignore [out] def f(x): x :: int r0 :: object r1 :: str r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object L0: r0 = builtins :: module r1 = 'reveal_type' r2 = CPyObject_GetAttr(r0, r1) r3 = box(int, x) r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 return 1 [case testCallCWithStrJoinMethod] from typing import List def f(x: str, y: List[str]) -> str: return x.join(y) [out] def f(x, y): x :: str y :: list r0 :: str L0: r0 = PyUnicode_Join(x, y) return r0 [case testCallCWithToListFunction] from typing import List, Iterable, Tuple, Dict # generic object def f(x: Iterable[int]) -> List[int]: return list(x) # need coercing def g(x: Tuple[int, int, int]) -> List[int]: return list(x) # non-list object def h(x: Dict[int, str]) -> List[int]: return list(x) [out] def f(x): x :: object r0 :: list L0: r0 = PySequence_List(x) return r0 def g(x): x :: tuple[int, int, int] r0 :: object r1 :: list L0: r0 = box(tuple[int, int, int], x) r1 = PySequence_List(r0) return r1 def h(x): x :: dict r0 :: list L0: r0 = PySequence_List(x) return r0 [case testBoolFunction] def f(x: object) -> bool: return bool(x) [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: bool L0: r0 = PyObject_IsTrue(x) r1 = r0 >= 0 :: signed r2 = truncate r0: i32 to builtins.bool return r2 [case testLocalImports] def root() -> None: import dataclasses import enum def submodule() -> int: import p.m return p.x [file p/__init__.py] x = 1 [file p/m.py] [out] def root(): r0 :: dict r1, r2 :: object r3 :: bit r4 :: str r5 :: object r6 :: str r7 :: dict r8 :: str r9 :: object r10 :: i32 r11 :: bit r12 :: dict r13, r14 :: object r15 :: bit r16 :: str r17 :: object r18 :: str r19 :: dict r20 :: str r21 :: object r22 :: i32 r23 :: bit L0: r0 = __main__.globals :: static r1 = dataclasses :: module r2 = load_address _Py_NoneStruct r3 = r1 != r2 if r3 goto L2 else goto L1 :: bool L1: r4 = 'dataclasses' r5 = PyImport_Import(r4) dataclasses = r5 :: module L2: r6 = 'dataclasses' r7 = PyImport_GetModuleDict() r8 = 'dataclasses' r9 = CPyDict_GetItem(r7, r8) r10 = CPyDict_SetItem(r0, r6, r9) r11 = r10 >= 0 :: signed r12 = __main__.globals :: static r13 = enum :: module r14 = load_address _Py_NoneStruct r15 = r13 != r14 if r15 goto L4 else goto L3 :: bool L3: r16 = 'enum' r17 = PyImport_Import(r16) enum = r17 :: module L4: r18 = 'enum' r19 = PyImport_GetModuleDict() r20 = 'enum' r21 = CPyDict_GetItem(r19, r20) r22 = CPyDict_SetItem(r12, r18, r21) r23 = r22 >= 0 :: signed return 1 def submodule(): r0 :: dict r1, r2 :: object r3 :: bit r4 :: str r5 :: object r6 :: str r7 :: dict r8 :: str r9 :: object r10 :: i32 r11 :: bit r12 :: dict r13 :: str r14 :: object r15 :: str r16 :: object r17 :: int L0: r0 = __main__.globals :: static r1 = p.m :: module r2 = load_address _Py_NoneStruct r3 = r1 != r2 if r3 goto L2 else goto L1 :: bool L1: r4 = 'p.m' r5 = PyImport_Import(r4) p.m = r5 :: module L2: r6 = 'p' r7 = PyImport_GetModuleDict() r8 = 'p' r9 = CPyDict_GetItem(r7, r8) r10 = CPyDict_SetItem(r0, r6, r9) r11 = r10 >= 0 :: signed r12 = PyImport_GetModuleDict() r13 = 'p' r14 = CPyDict_GetItem(r12, r13) r15 = 'x' r16 = CPyObject_GetAttr(r14, r15) r17 = unbox(int, r16) return r17 [case testIsinstanceBool] def f(x: object) -> bool: return isinstance(x, bool) [out] def f(x): x :: object r0 :: bit L0: r0 = PyBool_Check(x) return r0 [case testRangeObject] def range_object() -> None: r = range(4, 12, 2) sum = 0 for i in r: sum += i def range_in_loop() -> None: sum = 0 for i in range(4, 12, 2): sum += i [out] def range_object(): r0, r1, r2, r3 :: object r4 :: object[3] r5 :: object_ptr r6 :: object r7, r :: range sum :: int r8, r9 :: object r10, i, r11 :: int r12 :: bit L0: r0 = load_address PyRange_Type r1 = object 4 r2 = object 12 r3 = object 2 r4 = [r1, r2, r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r0, r5, 3, 0) keep_alive r1, r2, r3 r7 = cast(range, r6) r = r7 sum = 0 r8 = PyObject_GetIter(r) L1: r9 = PyIter_Next(r8) if is_error(r9) goto L4 else goto L2 L2: r10 = unbox(int, r9) i = r10 r11 = CPyTagged_Add(sum, i) sum = r11 L3: goto L1 L4: r12 = CPy_NoErrOccurred() L5: return 1 def range_in_loop(): sum :: int r0 :: short_int i :: int r1 :: bit r2 :: int r3 :: short_int L0: sum = 0 r0 = 8 i = r0 L1: r1 = int_lt r0, 24 if r1 goto L2 else goto L4 :: bool L2: r2 = CPyTagged_Add(sum, i) sum = r2 L3: r3 = r0 + 4 r0 = r3 i = r3 goto L1 L4: return 1 [case testLocalRedefinition] # mypy: allow-redefinition def f() -> None: i = 0 i += 1 i = "foo" i += i i = 0.0 [out] def f(): i, r0 :: int r1, i__redef__, r2 :: str i__redef____redef__ :: float L0: i = 0 r0 = CPyTagged_Add(i, 2) i = r0 r1 = 'foo' i__redef__ = r1 r2 = CPyStr_Append(i__redef__, i__redef__) i__redef__ = r2 i__redef____redef__ = 0.0 return 1 [case testNewType] from typing import NewType class A: pass N = NewType("N", A) def f(arg: A) -> N: return N(arg) [out] def f(arg): arg :: __main__.A L0: return arg [case testTypeCheckingFlag] from typing import TYPE_CHECKING, List def f(arg: List[int]) -> int: if TYPE_CHECKING: from collections.abc import Sized s: Sized = arg return len(s) [out] def f(arg): arg :: list r0 :: bool r1 :: int r2 :: bit s :: object r3 :: int L0: r0 = 0 << 1 r1 = extend r0: builtins.bool to builtins.int r2 = r1 != 0 if r2 goto L1 else goto L2 :: bool L1: goto L3 L2: L3: s = arg r3 = CPyObject_Size(s) return r3 [case testUndefinedFunction] def f(): non_existent_function() [out] def f(): r0 :: bool r1, r2, r3 :: object L0: r0 = raise NameError('name "non_existent_function" is not defined') r1 = box(None, 1) r2 = PyObject_Vectorcall(r1, 0, 0, 0) r3 = box(None, 1) return r3 [case testStarArgFastPathTuple] from typing import Any, Callable def deco(fn: Callable[..., Any]) -> Callable[..., Any]: def wrapper(*args: Any) -> Any: return fn(*args) return wrapper [out] def wrapper_deco_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def wrapper_deco_obj.__call__(__mypyc_self__, args): __mypyc_self__ :: __main__.wrapper_deco_obj args :: tuple r0 :: __main__.deco_env r1, r2 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.fn r2 = PyObject_CallObject(r1, args) return r2 def deco(fn): fn :: object r0 :: __main__.deco_env r1 :: bool r2 :: __main__.wrapper_deco_obj r3 :: bool wrapper :: object L0: r0 = deco_env() r0.fn = fn; r1 = is_error r2 = wrapper_deco_obj() r2.__mypyc_env__ = r0; r3 = is_error wrapper = r2 return wrapper [case testStarArgFastPathList] from typing import Any, Callable def deco(fn: Callable[..., Any]) -> Callable[[list[Any]], Any]: def wrapper(args: list[Any]) -> Any: return fn(*args) return wrapper [out] def wrapper_deco_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def wrapper_deco_obj.__call__(__mypyc_self__, args): __mypyc_self__ :: __main__.wrapper_deco_obj args :: list r0 :: __main__.deco_env r1 :: object r2 :: tuple r3 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.fn r2 = PyList_AsTuple(args) r3 = PyObject_CallObject(r1, r2) return r3 def deco(fn): fn :: object r0 :: __main__.deco_env r1 :: bool r2 :: __main__.wrapper_deco_obj r3 :: bool wrapper :: object L0: r0 = deco_env() r0.fn = fn; r1 = is_error r2 = wrapper_deco_obj() r2.__mypyc_env__ = r0; r3 = is_error wrapper = r2 return wrapper [case testStarArgFastPathListWithKwargs] from typing import Any, Callable def deco(fn: Callable[..., Any]) -> Callable[..., Any]: def wrapper(lst: list[Any], kwargs: dict[str, Any]) -> Any: return fn(*lst, **kwargs) return wrapper [out] def wrapper_deco_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def wrapper_deco_obj.__call__(__mypyc_self__, lst, kwargs): __mypyc_self__ :: __main__.wrapper_deco_obj lst :: list kwargs :: dict r0 :: __main__.deco_env r1 :: object r2 :: tuple r3 :: dict r4 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.fn r2 = PyList_AsTuple(lst) r3 = PyDict_Copy(kwargs) r4 = PyObject_Call(r1, r2, r3) return r4 def deco(fn): fn :: object r0 :: __main__.deco_env r1 :: bool r2 :: __main__.wrapper_deco_obj r3 :: bool wrapper :: object L0: r0 = deco_env() r0.fn = fn; r1 = is_error r2 = wrapper_deco_obj() r2.__mypyc_env__ = r0; r3 = is_error wrapper = r2 return wrapper [case testStarArgFastPathSequence] from typing import Any, Callable def deco(fn: Callable[[Any], Any]) -> Callable[[Any], Any]: def wrapper(args: Any) -> Any: return fn(*args) return wrapper [out] def wrapper_deco_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def wrapper_deco_obj.__call__(__mypyc_self__, args): __mypyc_self__ :: __main__.wrapper_deco_obj args :: object r0 :: __main__.deco_env r1 :: object r2 :: tuple r3 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.fn r2 = PySequence_Tuple(args) r3 = PyObject_CallObject(r1, r2) return r3 def deco(fn): fn :: object r0 :: __main__.deco_env r1 :: bool r2 :: __main__.wrapper_deco_obj r3 :: bool wrapper :: object L0: r0 = deco_env() r0.fn = fn; r1 = is_error r2 = wrapper_deco_obj() r2.__mypyc_env__ = r0; r3 = is_error wrapper = r2 return wrapper [case testStarArgFastPathSequenceWithKwargs] from typing import Any, Callable def deco(fn: Callable[[Any], Any]) -> Callable[[Any], Any]: def wrapper(args: Any, **kwargs: Any) -> Any: return fn(*args, **kwargs) return wrapper [out] def wrapper_deco_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def wrapper_deco_obj.__call__(__mypyc_self__, args, kwargs): __mypyc_self__ :: __main__.wrapper_deco_obj args :: object kwargs :: dict r0 :: __main__.deco_env r1 :: object r2 :: tuple r3 :: dict r4 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.fn r2 = PySequence_Tuple(args) r3 = PyDict_Copy(kwargs) r4 = PyObject_Call(r1, r2, r3) return r4 def deco(fn): fn :: object r0 :: __main__.deco_env r1 :: bool r2 :: __main__.wrapper_deco_obj r3 :: bool wrapper :: object L0: r0 = deco_env() r0.fn = fn; r1 = is_error r2 = wrapper_deco_obj() r2.__mypyc_env__ = r0; r3 = is_error wrapper = r2 return wrapper ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-bool.test0000644000175100017510000002701315112307767020575 0ustar00runnerrunner[case testBoolToAndFromInt] from mypy_extensions import i64 def bool_to_int(b: bool) -> int: return b def int_to_bool(n: int) -> bool: return bool(n) def bool_to_i64(b: bool) -> i64: return b def i64_to_bool(n: i64) -> bool: return bool(n) def bit_to_int(n1: i64, n2: i64) -> int: return bool(n1 == n2) def bit_to_i64(n1: i64, n2: i64) -> i64: return bool(n1 == n2) [out] def bool_to_int(b): b, r0 :: bool r1 :: int L0: r0 = b << 1 r1 = extend r0: builtins.bool to builtins.int return r1 def int_to_bool(n): n :: int r0 :: bit L0: r0 = n != 0 return r0 def bool_to_i64(b): b :: bool r0 :: i64 L0: r0 = extend b: builtins.bool to i64 return r0 def i64_to_bool(n): n :: i64 r0 :: bit L0: r0 = n != 0 return r0 def bit_to_int(n1, n2): n1, n2 :: i64 r0 :: bit r1 :: bool r2 :: int L0: r0 = n1 == n2 r1 = r0 << 1 r2 = extend r1: builtins.bool to builtins.int return r2 def bit_to_i64(n1, n2): n1, n2 :: i64 r0 :: bit r1 :: i64 L0: r0 = n1 == n2 r1 = extend r0: bit to i64 return r1 [case testConversionToBool] from typing import List, Optional class C: pass class D: def __bool__(self) -> bool: return True def list_to_bool(l: List[str]) -> bool: return bool(l) def always_truthy_instance_to_bool(o: C) -> bool: return bool(o) def instance_to_bool(o: D) -> bool: return bool(o) def optional_truthy_to_bool(o: Optional[C]) -> bool: return bool(o) def optional_maybe_falsey_to_bool(o: Optional[D]) -> bool: return bool(o) [out] def D.__bool__(self): self :: __main__.D L0: return 1 def list_to_bool(l): l :: list r0 :: native_int r1 :: short_int r2 :: bit L0: r0 = var_object_size l r1 = r0 << 1 r2 = int_ne r1, 0 return r2 def always_truthy_instance_to_bool(o): o :: __main__.C r0 :: i32 r1 :: bit r2 :: bool L0: r0 = PyObject_IsTrue(o) r1 = r0 >= 0 :: signed r2 = truncate r0: i32 to builtins.bool return r2 def instance_to_bool(o): o :: __main__.D r0 :: bool L0: r0 = o.__bool__() return r0 def optional_truthy_to_bool(o): o :: union[__main__.C, None] r0 :: object r1 :: bit L0: r0 = load_address _Py_NoneStruct r1 = o != r0 return r1 def optional_maybe_falsey_to_bool(o): o :: union[__main__.D, None] r0 :: object r1 :: bit r2 :: __main__.D r3 :: bool r4 :: bit L0: r0 = load_address _Py_NoneStruct r1 = o != r0 if r1 goto L1 else goto L2 :: bool L1: r2 = cast(__main__.D, o) r3 = r2.__bool__() r4 = r3 goto L3 L2: r4 = 0 L3: return r4 [case testBoolComparisons] def eq(x: bool, y: bool) -> bool: return x == y def neq(x: bool, y: bool) -> bool: return x != y def lt(x: bool, y: bool) -> bool: return x < y def le(x: bool, y: bool) -> bool: return x <= y def gt(x: bool, y: bool) -> bool: return x > y def ge(x: bool, y: bool) -> bool: return x >= y [out] def eq(x, y): x, y :: bool r0 :: bit L0: r0 = x == y return r0 def neq(x, y): x, y :: bool r0 :: bit L0: r0 = x != y return r0 def lt(x, y): x, y :: bool r0 :: bit L0: r0 = x < y :: signed return r0 def le(x, y): x, y :: bool r0 :: bit L0: r0 = x <= y :: signed return r0 def gt(x, y): x, y :: bool r0 :: bit L0: r0 = x > y :: signed return r0 def ge(x, y): x, y :: bool r0 :: bit L0: r0 = x >= y :: signed return r0 [case testBoolMixedComparisons1] from mypy_extensions import i64 def eq1(x: int, y: bool) -> bool: return x == y def eq2(x: bool, y: int) -> bool: return x == y def neq1(x: i64, y: bool) -> bool: return x != y def neq2(x: bool, y: i64) -> bool: return x != y [out] def eq1(x, y): x :: int y, r0 :: bool r1 :: int r2 :: bit L0: r0 = y << 1 r1 = extend r0: builtins.bool to builtins.int r2 = int_eq x, r1 return r2 def eq2(x, y): x :: bool y :: int r0 :: bool r1 :: int r2 :: bit L0: r0 = x << 1 r1 = extend r0: builtins.bool to builtins.int r2 = int_eq r1, y return r2 def neq1(x, y): x :: i64 y :: bool r0 :: i64 r1 :: bit L0: r0 = extend y: builtins.bool to i64 r1 = x != r0 return r1 def neq2(x, y): x :: bool y, r0 :: i64 r1 :: bit L0: r0 = extend x: builtins.bool to i64 r1 = r0 != y return r1 [case testBoolMixedComparisons2] from mypy_extensions import i64 def lt1(x: bool, y: int) -> bool: return x < y def lt2(x: int, y: bool) -> bool: return x < y def gt1(x: bool, y: i64) -> bool: return x < y def gt2(x: i64, y: bool) -> bool: return x < y [out] def lt1(x, y): x :: bool y :: int r0 :: bool r1 :: int r2 :: bit L0: r0 = x << 1 r1 = extend r0: builtins.bool to builtins.int r2 = int_lt r1, y return r2 def lt2(x, y): x :: int y, r0 :: bool r1 :: int r2 :: bit L0: r0 = y << 1 r1 = extend r0: builtins.bool to builtins.int r2 = int_lt x, r1 return r2 def gt1(x, y): x :: bool y, r0 :: i64 r1 :: bit L0: r0 = extend x: builtins.bool to i64 r1 = r0 < y :: signed return r1 def gt2(x, y): x :: i64 y :: bool r0 :: i64 r1 :: bit L0: r0 = extend y: builtins.bool to i64 r1 = x < r0 :: signed return r1 [case testBoolBitwise] from mypy_extensions import i64 def bitand(x: bool, y: bool) -> bool: b = x & y return b def bitor(x: bool, y: bool) -> bool: b = x | y return b def bitxor(x: bool, y: bool) -> bool: b = x ^ y return b def invert(x: bool) -> int: return ~x def mixed_bitand(x: i64, y: bool) -> i64: return x & y [out] def bitand(x, y): x, y, r0, b :: bool L0: r0 = x & y b = r0 return b def bitor(x, y): x, y, r0, b :: bool L0: r0 = x | y b = r0 return b def bitxor(x, y): x, y, r0, b :: bool L0: r0 = x ^ y b = r0 return b def invert(x): x, r0 :: bool r1, r2 :: int L0: r0 = x << 1 r1 = extend r0: builtins.bool to builtins.int r2 = CPyTagged_Invert(r1) return r2 def mixed_bitand(x, y): x :: i64 y :: bool r0, r1 :: i64 L0: r0 = extend y: builtins.bool to i64 r1 = x & r0 return r1 [case testBoolArithmetic] def add(x: bool, y: bool) -> int: z = x + y return z def mixed(b: bool, n: int) -> int: z = b + n z -= b z = z * b return z def negate(b: bool) -> int: return -b def unary_plus(b: bool) -> int: x = +b return x [out] def add(x, y): x, y, r0 :: bool r1 :: int r2 :: bool r3, r4, z :: int L0: r0 = x << 1 r1 = extend r0: builtins.bool to builtins.int r2 = y << 1 r3 = extend r2: builtins.bool to builtins.int r4 = CPyTagged_Add(r1, r3) z = r4 return z def mixed(b, n): b :: bool n :: int r0 :: bool r1, r2, z :: int r3 :: bool r4, r5 :: int r6 :: bool r7, r8 :: int L0: r0 = b << 1 r1 = extend r0: builtins.bool to builtins.int r2 = CPyTagged_Add(r1, n) z = r2 r3 = b << 1 r4 = extend r3: builtins.bool to builtins.int r5 = CPyTagged_Subtract(z, r4) z = r5 r6 = b << 1 r7 = extend r6: builtins.bool to builtins.int r8 = CPyTagged_Multiply(z, r7) z = r8 return z def negate(b): b, r0 :: bool r1, r2 :: int L0: r0 = b << 1 r1 = extend r0: builtins.bool to builtins.int r2 = CPyTagged_Negate(r1) return r2 def unary_plus(b): b, r0 :: bool r1, x :: int L0: r0 = b << 1 r1 = extend r0: builtins.bool to builtins.int x = r1 return x [case testBitToBoolPromotion] def bitand(x: float, y: float, z: float) -> bool: b = (x == y) & (x == z) return b def bitor(x: float, y: float, z: float) -> bool: b = (x == y) | (x == z) return b def bitxor(x: float, y: float, z: float) -> bool: b = (x == y) ^ (x == z) return b def invert(x: float, y: float) -> bool: return not(x == y) [out] def bitand(x, y, z): x, y, z :: float r0, r1 :: bit r2, b :: bool L0: r0 = x == y r1 = x == z r2 = r0 & r1 b = r2 return b def bitor(x, y, z): x, y, z :: float r0, r1 :: bit r2, b :: bool L0: r0 = x == y r1 = x == z r2 = r0 | r1 b = r2 return b def bitxor(x, y, z): x, y, z :: float r0, r1 :: bit r2, b :: bool L0: r0 = x == y r1 = x == z r2 = r0 ^ r1 b = r2 return b def invert(x, y): x, y :: float r0, r1 :: bit L0: r0 = x == y r1 = r0 ^ 1 return r1 [case testUnaryNotWithPrimitiveTypes] def not_obj(x: object) -> bool: return not x def not_int(x: int) -> bool: return not x def not_str(x: str) -> bool: return not x def not_list(x: list[int]) -> bool: return not x def not_tuple(x: tuple[int, ...]) -> bool: return not x def not_dict(x: dict[str, int]) -> bool: return not x [out] def not_obj(x): x :: object r0 :: i32 r1 :: bit r2 :: bool L0: r0 = PyObject_Not(x) r1 = r0 >= 0 :: signed r2 = truncate r0: i32 to builtins.bool return r2 def not_int(x): x :: int r0 :: bit L0: r0 = int_eq x, 0 return r0 def not_str(x): x :: str r0, r1 :: bit L0: r0 = CPyStr_IsTrue(x) r1 = r0 ^ 1 return r1 def not_list(x): x :: list r0 :: native_int r1 :: short_int r2, r3 :: bit L0: r0 = var_object_size x r1 = r0 << 1 r2 = int_ne r1, 0 r3 = r2 ^ 1 return r3 def not_tuple(x): x :: tuple r0 :: native_int r1 :: short_int r2, r3 :: bit L0: r0 = var_object_size x r1 = r0 << 1 r2 = int_ne r1, 0 r3 = r2 ^ 1 return r3 def not_dict(x): x :: dict r0 :: native_int r1 :: short_int r2, r3 :: bit L0: r0 = PyDict_Size(x) r1 = r0 << 1 r2 = int_ne r1, 0 r3 = r2 ^ 1 return r3 [case testUnaryNotWithNativeClass] from __future__ import annotations class C: def __bool__(self) -> bool: return True def not_c(x: C) -> bool: return not x def not_c_opt(x: C | None) -> bool: return not x [out] def C.__bool__(self): self :: __main__.C L0: return 1 def not_c(x): x :: __main__.C r0, r1 :: bool L0: r0 = x.__bool__() r1 = r0 ^ 1 return r1 def not_c_opt(x): x :: union[__main__.C, None] r0 :: object r1, r2 :: bit r3 :: __main__.C r4, r5 :: bool L0: r0 = load_address _Py_NoneStruct r1 = x == r0 if r1 goto L1 else goto L2 :: bool L1: r2 = 1 goto L3 L2: r3 = unchecked borrow cast(__main__.C, x) r4 = r3.__bool__() r5 = r4 ^ 1 r2 = r5 L3: keep_alive x return r2 [case testUnaryNotWithOptionalPrimitiveTypes] from __future__ import annotations def not_str(x: str | None) -> bool: return not x def not_list(x: list[int] | None) -> bool: return not x [out] def not_str(x): x :: union[str, None] r0 :: object r1, r2 :: bit r3 :: str r4, r5 :: bit L0: r0 = load_address _Py_NoneStruct r1 = x == r0 if r1 goto L1 else goto L2 :: bool L1: r2 = 1 goto L3 L2: r3 = unchecked borrow cast(str, x) r4 = CPyStr_IsTrue(r3) r5 = r4 ^ 1 r2 = r5 L3: keep_alive x return r2 def not_list(x): x :: union[list, None] r0 :: object r1, r2 :: bit r3 :: list r4 :: native_int r5 :: short_int r6, r7 :: bit L0: r0 = load_address _Py_NoneStruct r1 = x == r0 if r1 goto L1 else goto L2 :: bool L1: r2 = 1 goto L3 L2: r3 = unchecked borrow cast(list, x) r4 = var_object_size r3 r5 = r4 << 1 r6 = int_ne r5, 0 r7 = r6 ^ 1 r2 = r7 L3: keep_alive x return r2 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-bytes.test0000644000175100017510000001026715112307767020773 0ustar00runnerrunner[case testBytesBasics] def f(num: int, l: list, d: dict, s: str) -> None: b1 = bytes() b2 = bytes(num) b3 = bytes(l) b4 = bytes(d) b5 = bytes(s) [out] def f(num, l, d, s): num :: int l :: list d :: dict s :: str r0, r1 :: object r2, b1 :: bytes r3, r4 :: object r5 :: object[1] r6 :: object_ptr r7 :: object r8, b2, r9, b3, r10, b4, r11, b5 :: bytes L0: r0 = load_address PyBytes_Type r1 = PyObject_Vectorcall(r0, 0, 0, 0) r2 = cast(bytes, r1) b1 = r2 r3 = load_address PyBytes_Type r4 = box(int, num) r5 = [r4] r6 = load_address r5 r7 = PyObject_Vectorcall(r3, r6, 1, 0) keep_alive r4 r8 = cast(bytes, r7) b2 = r8 r9 = PyBytes_FromObject(l) b3 = r9 r10 = PyBytes_FromObject(d) b4 = r10 r11 = PyBytes_FromObject(s) b5 = r11 return 1 [case testBytearrayBasics] def f(s: str, num: int) -> None: a = bytearray() b = bytearray(s) c = bytearray(num) [out] def f(s, num): s :: str num :: int r0 :: object r1 :: str r2, r3, a :: object r4 :: bytes b, r5 :: object r6 :: bytes c :: object L0: r0 = builtins :: module r1 = 'bytearray' r2 = CPyObject_GetAttr(r0, r1) r3 = PyObject_Vectorcall(r2, 0, 0, 0) a = r3 r4 = PyByteArray_FromObject(s) b = r4 r5 = box(int, num) r6 = PyByteArray_FromObject(r5) c = r6 return 1 [case testBytesEquality] def eq(x: bytes, y: bytes) -> bool: return x == y def neq(x: bytes, y: bytes) -> bool: return x != y [out] def eq(x, y): x, y :: bytes r0 :: i32 r1, r2 :: bit L0: r0 = CPyBytes_Compare(x, y) r1 = r0 >= 0 :: signed r2 = r0 == 1 return r2 def neq(x, y): x, y :: bytes r0 :: i32 r1, r2 :: bit L0: r0 = CPyBytes_Compare(x, y) r1 = r0 >= 0 :: signed r2 = r0 != 1 return r2 [case testBytesSlicing] def f(a: bytes, start: int, end: int) -> bytes: return a[start:end] [out] def f(a, start, end): a :: bytes start, end :: int r0 :: bytes L0: r0 = CPyBytes_GetSlice(a, start, end) return r0 [case testBytesIndex] def f(a: bytes, i: int) -> int: return a[i] [out] def f(a, i): a :: bytes i, r0 :: int L0: r0 = CPyBytes_GetItem(a, i) return r0 [case testBytesConcat] def f(a: bytes, b: bytes) -> bytes: return a + b [out] def f(a, b): a, b, r0 :: bytes L0: r0 = CPyBytes_Concat(a, b) return r0 [case testBytesJoin] from typing import List def f(b: List[bytes]) -> bytes: return b" ".join(b) [out] def f(b): b :: list r0, r1 :: bytes L0: r0 = b' ' r1 = CPyBytes_Join(r0, b) return r1 [case testBytesLen] def f(b: bytes) -> int: return len(b) [out] def f(b): b :: bytes r0 :: native_int r1 :: short_int L0: r0 = var_object_size b r1 = r0 << 1 return r1 [case testBytesFormatting] def f(var: bytes, num: int) -> None: b1 = b'aaaa%bbbbb%s' % (var, var) b2 = b'aaaa%bbbbb%s%d' % (var, var, num) b3 = b'%b' % var b4 = b'%ssss' % var [typing fixtures/typing-full.pyi] [out] def f(var, num): var :: bytes num :: int r0, r1, r2, b1, r3 :: bytes r4 :: tuple[bytes, bytes, int] r5, r6 :: object r7, b2, r8, b3, r9, r10, b4 :: bytes L0: r0 = b'aaaa' r1 = b'bbbb' r2 = CPyBytes_Build(4, r0, var, r1, var) b1 = r2 r3 = b'aaaa%bbbbb%s%d' r4 = (var, var, num) r5 = box(tuple[bytes, bytes, int], r4) r6 = PyNumber_Remainder(r3, r5) r7 = cast(bytes, r6) b2 = r7 r8 = CPyBytes_Build(1, var) b3 = r8 r9 = b'sss' r10 = CPyBytes_Build(2, var, r9) b4 = r10 return 1 [case testOptionalBytesEquality] from typing import Optional def non_opt_opt(x: bytes, y: Optional[bytes]) -> bool: return x != y [out] def non_opt_opt(x, y): x :: bytes y :: union[bytes, None] r0 :: object r1 :: bit r2 :: bool r3 :: bytes r4 :: i32 r5, r6 :: bit L0: r0 = load_address _Py_NoneStruct r1 = y == r0 if r1 goto L1 else goto L2 :: bool L1: r2 = 1 goto L3 L2: r3 = unchecked borrow cast(bytes, y) r4 = CPyBytes_Compare(r3, x) r5 = r4 >= 0 :: signed r6 = r4 != 1 r2 = r6 L3: keep_alive y return r2 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-classes.test0000644000175100017510000017644515112307767021315 0ustar00runnerrunner[case testGetAttribute] class A: x: int def f(a: A) -> int: return a.x [out] def f(a): a :: __main__.A r0 :: int L0: r0 = a.x return r0 [case testSetAttribute] class A: x: int def f(a: A) -> None: a.x = 1 [out] def f(a): a :: __main__.A r0 :: bool L0: a.x = 2; r0 = is_error return 1 [case testUserClassInList] class C: x: int def f() -> int: c = C() c.x = 5 a = [c] d = a[0] return d.x + 1 [out] def f(): r0, c :: __main__.C r1 :: bool r2 :: list r3 :: ptr a :: list r4 :: object r5, d :: __main__.C r6, r7 :: int L0: r0 = C() c = r0 c.x = 10; r1 = is_error r2 = PyList_New(1) r3 = list_items r2 buf_init_item r3, 0, c keep_alive r2 a = r2 r4 = CPyList_GetItemShort(a, 0) r5 = cast(__main__.C, r4) d = r5 r6 = borrow d.x r7 = CPyTagged_Add(r6, 2) keep_alive d return r7 [case testMethodCall] class A: def f(self, x: int, y: str) -> int: return x + 10 def g(a: A) -> None: a.f(1, 'hi') [out] def A.f(self, x, y): self :: __main__.A x :: int y :: str r0 :: int L0: r0 = CPyTagged_Add(x, 20) return r0 def g(a): a :: __main__.A r0 :: str r1 :: int L0: r0 = 'hi' r1 = a.f(2, r0) return 1 [case testForwardUse] def g(a: A) -> int: return a.n class A: n : int [out] def g(a): a :: __main__.A r0 :: int L0: r0 = a.n return r0 [case testOptionalMember] from typing import Optional class Node: next: Optional[Node] def length(self) -> int: if self.next is not None: return 1 + self.next.length() return 1 [out] def Node.length(self): self :: __main__.Node r0 :: union[__main__.Node, None] r1 :: object r2 :: bit r3 :: union[__main__.Node, None] r4 :: __main__.Node r5, r6 :: int L0: r0 = borrow self.next r1 = load_address _Py_NoneStruct r2 = r0 != r1 keep_alive self if r2 goto L1 else goto L2 :: bool L1: r3 = self.next r4 = cast(__main__.Node, r3) r5 = r4.length() r6 = CPyTagged_Add(2, r5) return r6 L2: return 2 [case testSubclass] class A: def __init__(self) -> None: self.x = 10 class B(A): def __init__(self) -> None: self.x = 20 self.y = 30 [out] def A.__init__(self): self :: __main__.A L0: self.x = 20 return 1 def B.__init__(self): self :: __main__.B L0: self.x = 40 self.y = 60 return 1 [case testAttrLvalue] class O(object): def __init__(self) -> None: self.x = 1 def increment(o: O) -> O: o.x += 1 return o [out] def O.__init__(self): self :: __main__.O L0: self.x = 2 return 1 def increment(o): o :: __main__.O r0, r1 :: int r2 :: bool L0: r0 = borrow o.x r1 = CPyTagged_Add(r0, 2) o.x = r1; r2 = is_error return o [case testSubclass_withgil_toplevel] from typing import TypeVar, Generic from mypy_extensions import trait T = TypeVar('T') class C: pass @trait class S: pass class D(C, S, Generic[T]): pass [out] def __top_level__(): r0, r1 :: object r2 :: bit r3 :: str r4, r5 :: object r6 :: str r7 :: dict r8, r9 :: object r10 :: str r11 :: dict r12 :: object r13 :: str r14 :: dict r15 :: str r16 :: object r17 :: object[1] r18 :: object_ptr r19 :: object r20 :: dict r21 :: str r22 :: i32 r23 :: bit r24 :: object r25 :: str r26, r27 :: object r28 :: bool r29 :: str r30 :: tuple r31 :: i32 r32 :: bit r33 :: dict r34 :: str r35 :: i32 r36 :: bit r37 :: object r38 :: str r39, r40 :: object r41 :: str r42 :: tuple r43 :: i32 r44 :: bit r45 :: dict r46 :: str r47 :: i32 r48 :: bit r49, r50 :: object r51 :: dict r52 :: str r53 :: object r54 :: dict r55 :: str r56, r57 :: object r58 :: tuple r59 :: str r60, r61 :: object r62 :: bool r63, r64 :: str r65 :: tuple r66 :: i32 r67 :: bit r68 :: dict r69 :: str r70 :: i32 r71 :: bit L0: r0 = builtins :: module r1 = load_address _Py_NoneStruct r2 = r0 != r1 if r2 goto L2 else goto L1 :: bool L1: r3 = 'builtins' r4 = PyImport_Import(r3) builtins = r4 :: module L2: r5 = ('TypeVar', 'Generic') r6 = 'typing' r7 = __main__.globals :: static r8 = CPyImport_ImportFromMany(r6, r5, r5, r7) typing = r8 :: module r9 = ('trait',) r10 = 'mypy_extensions' r11 = __main__.globals :: static r12 = CPyImport_ImportFromMany(r10, r9, r9, r11) mypy_extensions = r12 :: module r13 = 'T' r14 = __main__.globals :: static r15 = 'TypeVar' r16 = CPyDict_GetItem(r14, r15) r17 = [r13] r18 = load_address r17 r19 = PyObject_Vectorcall(r16, r18, 1, 0) keep_alive r13 r20 = __main__.globals :: static r21 = 'T' r22 = CPyDict_SetItem(r20, r21, r19) r23 = r22 >= 0 :: signed r24 = :: object r25 = '__main__' r26 = __main__.C_template :: type r27 = CPyType_FromTemplate(r26, r24, r25) r28 = C_trait_vtable_setup() r29 = '__mypyc_attrs__' r30 = CPyTuple_LoadEmptyTupleConstant() r31 = PyObject_SetAttr(r27, r29, r30) r32 = r31 >= 0 :: signed __main__.C = r27 :: type r33 = __main__.globals :: static r34 = 'C' r35 = PyDict_SetItem(r33, r34, r27) r36 = r35 >= 0 :: signed r37 = :: object r38 = '__main__' r39 = __main__.S_template :: type r40 = CPyType_FromTemplate(r39, r37, r38) r41 = '__mypyc_attrs__' r42 = CPyTuple_LoadEmptyTupleConstant() r43 = PyObject_SetAttr(r40, r41, r42) r44 = r43 >= 0 :: signed __main__.S = r40 :: type r45 = __main__.globals :: static r46 = 'S' r47 = PyDict_SetItem(r45, r46, r40) r48 = r47 >= 0 :: signed r49 = __main__.C :: type r50 = __main__.S :: type r51 = __main__.globals :: static r52 = 'Generic' r53 = CPyDict_GetItem(r51, r52) r54 = __main__.globals :: static r55 = 'T' r56 = CPyDict_GetItem(r54, r55) r57 = PyObject_GetItem(r53, r56) r58 = PyTuple_Pack(3, r49, r50, r57) r59 = '__main__' r60 = __main__.D_template :: type r61 = CPyType_FromTemplate(r60, r58, r59) r62 = D_trait_vtable_setup() r63 = '__mypyc_attrs__' r64 = '__dict__' r65 = PyTuple_Pack(1, r64) r66 = PyObject_SetAttr(r61, r63, r65) r67 = r66 >= 0 :: signed __main__.D = r61 :: type r68 = __main__.globals :: static r69 = 'D' r70 = PyDict_SetItem(r68, r69, r61) r71 = r70 >= 0 :: signed return 1 [case testIsInstance] class A: pass class B(A): pass def f(x: A) -> B: if isinstance(x, B): return x return B() [out] def f(x): x :: __main__.A r0 :: object r1 :: ptr r2 :: object r3 :: bit r4, r5 :: __main__.B L0: r0 = __main__.B :: type r1 = get_element_ptr x ob_type :: PyObject r2 = borrow load_mem r1 :: builtins.object* keep_alive x r3 = r2 == r0 if r3 goto L1 else goto L2 :: bool L1: r4 = cast(__main__.B, x) return r4 L2: r5 = B() return r5 [case testIsInstanceTuple] from typing import Union class R: pass class A(R): pass class B(R): pass class C(R): pass def f(x: R) -> Union[A, B]: if isinstance(x, (A, B)): return x return A() [out] def f(x): x :: __main__.R r0 :: object r1 :: ptr r2 :: object r3 :: bit r4 :: bool r5 :: object r6 :: ptr r7 :: object r8 :: bit r9 :: union[__main__.A, __main__.B] r10 :: __main__.A L0: r0 = __main__.A :: type r1 = get_element_ptr x ob_type :: PyObject r2 = borrow load_mem r1 :: builtins.object* keep_alive x r3 = r2 == r0 if r3 goto L1 else goto L2 :: bool L1: r4 = r3 goto L3 L2: r5 = __main__.B :: type r6 = get_element_ptr x ob_type :: PyObject r7 = borrow load_mem r6 :: builtins.object* keep_alive x r8 = r7 == r5 r4 = r8 L3: if r4 goto L4 else goto L5 :: bool L4: r9 = cast(union[__main__.A, __main__.B], x) return r9 L5: r10 = A() return r10 [case testIsInstanceFewSubclasses] class R: pass class A(R): pass def f(x: object) -> R: if isinstance(x, R): return x return A() [out] def f(x): x, r0 :: object r1 :: ptr r2 :: object r3 :: bit r4 :: bool r5 :: object r6 :: ptr r7 :: object r8 :: bit r9 :: __main__.R r10 :: __main__.A L0: r0 = __main__.A :: type r1 = get_element_ptr x ob_type :: PyObject r2 = borrow load_mem r1 :: builtins.object* keep_alive x r3 = r2 == r0 if r3 goto L1 else goto L2 :: bool L1: r4 = r3 goto L3 L2: r5 = __main__.R :: type r6 = get_element_ptr x ob_type :: PyObject r7 = borrow load_mem r6 :: builtins.object* keep_alive x r8 = r7 == r5 r4 = r8 L3: if r4 goto L4 else goto L5 :: bool L4: r9 = cast(__main__.R, x) return r9 L5: r10 = A() return r10 [case testIsInstanceFewSubclassesTrait] from mypy_extensions import trait class B: pass @trait class R: pass class A(B, R): pass class C(B, R): pass def f(x: object) -> R: if isinstance(x, R): return x return A() [out] def f(x): x, r0 :: object r1 :: ptr r2 :: object r3 :: bit r4 :: bool r5 :: object r6 :: ptr r7 :: object r8 :: bit r9 :: __main__.R r10 :: __main__.A L0: r0 = __main__.A :: type r1 = get_element_ptr x ob_type :: PyObject r2 = borrow load_mem r1 :: builtins.object* keep_alive x r3 = r2 == r0 if r3 goto L1 else goto L2 :: bool L1: r4 = r3 goto L3 L2: r5 = __main__.C :: type r6 = get_element_ptr x ob_type :: PyObject r7 = borrow load_mem r6 :: builtins.object* keep_alive x r8 = r7 == r5 r4 = r8 L3: if r4 goto L4 else goto L5 :: bool L4: r9 = cast(__main__.R, x) return r9 L5: r10 = A() return r10 [case testIsInstanceManySubclasses] class R: pass class A(R): pass class B(R): pass class C(R): pass def f(x: object) -> R: if isinstance(x, R): return x return B() [out] def f(x): x, r0 :: object r1 :: bool r2 :: __main__.R r3 :: __main__.B L0: r0 = __main__.R :: type r1 = CPy_TypeCheck(x, r0) if r1 goto L1 else goto L2 :: bool L1: r2 = cast(__main__.R, x) return r2 L2: r3 = B() return r3 [case testFakeSuper] class A: def __init__(self, x: int) -> None: self.x = x class B(A): def __init__(self, x: int, y: int) -> None: A.__init__(self, x) self.y = y [out] def A.__init__(self, x): self :: __main__.A x :: int L0: self.x = x return 1 def B.__init__(self, x, y): self :: __main__.B x, y :: int r0 :: None L0: r0 = A.__init__(self, x) self.y = y return 1 [case testClassMethod] class C: @staticmethod def foo(x: int) -> int: return 10 + x @classmethod def bar(cls, x: int) -> int: return 10 + x def lol() -> int: return C.foo(1) + C.bar(2) [out] def C.foo(x): x, r0 :: int L0: r0 = CPyTagged_Add(20, x) return r0 def C.bar(cls, x): cls :: object x, r0 :: int L0: r0 = CPyTagged_Add(20, x) return r0 def lol(): r0 :: int r1 :: object r2, r3 :: int L0: r0 = C.foo(2) r1 = __main__.C :: type r2 = C.bar(r1, 4) r3 = CPyTagged_Add(r0, r2) return r3 [case testCallClassMethodViaCls_64bit] class C: @classmethod def f(cls, x: int) -> int: return cls.g(x) @classmethod def g(cls, x: int) -> int: return x class D: @classmethod def f(cls, x: int) -> int: # TODO: This could also be optimized, since g is not ever overridden return cls.g(x) @classmethod def g(cls, x: int) -> int: return x class DD(D): pass [out] def C.f(cls, x): cls :: object x :: int r0 :: object r1 :: int L0: r0 = __main__.C :: type r1 = C.g(r0, x) return r1 def C.g(cls, x): cls :: object x :: int L0: return x def D.f(cls, x): cls :: object x :: int r0 :: str r1 :: object r2 :: object[2] r3 :: object_ptr r4 :: object r5 :: int L0: r0 = 'g' r1 = box(int, x) r2 = [cls, r1] r3 = load_address r2 r4 = PyObject_VectorcallMethod(r0, r3, 9223372036854775810, 0) keep_alive cls, r1 r5 = unbox(int, r4) return r5 def D.g(cls, x): cls :: object x :: int L0: return x [case testCannotAssignToClsArgument] from typing import Any, cast class C: @classmethod def m(cls) -> None: cls = cast(Any, D) # E: Cannot assign to the first argument of classmethod cls, x = cast(Any, D), 1 # E: Cannot assign to the first argument of classmethod cls, x = cast(Any, [1, 2]) # E: Cannot assign to the first argument of classmethod cls.m() class D: pass [case testSuper1] class A: def __init__(self, x: int) -> None: self.x = x class B(A): def __init__(self, x: int, y: int) -> None: super().__init__(x) self.y = y [out] def A.__init__(self, x): self :: __main__.A x :: int L0: self.x = x return 1 def B.__init__(self, x, y): self :: __main__.B x, y :: int r0 :: None L0: r0 = A.__init__(self, x) self.y = y return 1 [case testSuper2] from mypy_extensions import trait @trait class T: def foo(self) -> None: pass class X(T): def foo(self) -> None: super().foo() [out] def T.foo(self): self :: __main__.T L0: return 1 def X.foo(self): self :: __main__.X r0 :: None L0: r0 = T.foo(self) return 1 [case testSuperCallToObjectInitIsOmitted] class C: def __init__(self) -> None: super().__init__() class D: pass class E(D): def __init__(self) -> None: super().__init__() class F(C): def __init__(self) -> None: super().__init__() class DictSubclass(dict): def __init__(self) -> None: super().__init__() [out] def C.__init__(self): self :: __main__.C L0: return 1 def E.__init__(self): self :: __main__.E L0: return 1 def F.__init__(self): self :: __main__.F r0 :: None L0: r0 = C.__init__(self) return 1 def DictSubclass.__init__(self): self :: dict r0 :: object r1 :: str r2, r3 :: object r4 :: object[2] r5 :: object_ptr r6 :: object r7 :: str r8, r9 :: object L0: r0 = builtins :: module r1 = 'super' r2 = CPyObject_GetAttr(r0, r1) r3 = __main__.DictSubclass :: type r4 = [r3, self] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 2, 0) keep_alive r3, self r7 = '__init__' r8 = CPyObject_GetAttr(r6, r7) r9 = PyObject_Vectorcall(r8, 0, 0, 0) return 1 [case testClassVariable] from typing import ClassVar class A: x = 10 # type: ClassVar[int] def f() -> int: return A.x [out] def f(): r0 :: object r1 :: str r2 :: object r3 :: int L0: r0 = __main__.A :: type r1 = 'x' r2 = CPyObject_GetAttr(r0, r1) r3 = unbox(int, r2) return r3 [case testNoEqDefined] class A: pass def f(a: A, b: A) -> bool: return a == b def f2(a: A, b: A) -> bool: return a != b [out] def f(a, b): a, b :: __main__.A r0 :: bit L0: r0 = a == b return r0 def f2(a, b): a, b :: __main__.A r0 :: bit L0: r0 = a != b return r0 [case testEqDefined] class Base: def __eq__(self, other: object) -> bool: return False class Derived(Base): def __eq__(self, other: object) -> bool: return True def f(a: Base, b: Base) -> bool: return a == b def f2(a: Base, b: Base) -> bool: return a != b def fOpt(a: Derived, b: Derived) -> bool: return a == b def fOpt2(a: Derived, b: Derived) -> bool: return a != b [out] def Base.__eq__(self, other): self :: __main__.Base other, r0 :: object L0: r0 = box(bool, 0) return r0 def Base.__ne__(__mypyc_self__, rhs): __mypyc_self__ :: __main__.Base rhs, r0, r1 :: object r2 :: bit r3 :: object r4, r5 :: bit r6 :: object r7 :: bit r8 :: i32 r9 :: bit r10 :: bool r11 :: object L0: r0 = __mypyc_self__.__eq__(rhs) r1 = load_address _Py_NotImplementedStruct r2 = r0 == r1 if r2 goto L7 else goto L1 :: bool L1: r3 = load_global Py_True :: static r4 = r0 == r3 if r4 goto L2 else goto L3 :: bool L2: r5 = 0 goto L6 L3: r6 = load_global Py_False :: static r7 = r0 == r6 if r7 goto L4 else goto L5 :: bool L4: r5 = 1 goto L6 L5: r8 = PyObject_Not(r0) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool r5 = r10 L6: r11 = box(bit, r5) return r11 L7: return r1 def Derived.__eq__(self, other): self :: __main__.Derived other, r0 :: object L0: r0 = box(bool, 1) return r0 def f(a, b): a, b :: __main__.Base r0 :: object r1 :: bool L0: r0 = PyObject_RichCompare(a, b, 2) r1 = unbox(bool, r0) return r1 def f2(a, b): a, b :: __main__.Base r0 :: object r1 :: bool L0: r0 = PyObject_RichCompare(a, b, 3) r1 = unbox(bool, r0) return r1 def fOpt(a, b): a, b :: __main__.Derived r0 :: object r1 :: bool L0: r0 = a.__eq__(b) r1 = unbox(bool, r0) return r1 def fOpt2(a, b): a, b :: __main__.Derived r0 :: object r1 :: bool L0: r0 = a.__ne__(b) r1 = unbox(bool, r0) return r1 [case testEqDefinedLater_64bit] def f(a: 'Base', b: 'Base') -> bool: return a == b def f2(a: 'Base', b: 'Base') -> bool: return a != b def fOpt(a: 'Derived', b: 'Derived') -> bool: return a == b def fOpt2(a: 'Derived', b: 'Derived') -> bool: return a != b class Base: pass class Derived(Base): def __eq__(self, other: object) -> bool: return True [out] def f(a, b): a, b :: __main__.Base r0 :: object r1 :: bool L0: r0 = PyObject_RichCompare(a, b, 2) r1 = unbox(bool, r0) return r1 def f2(a, b): a, b :: __main__.Base r0 :: object r1 :: bool L0: r0 = PyObject_RichCompare(a, b, 3) r1 = unbox(bool, r0) return r1 def fOpt(a, b): a, b :: __main__.Derived r0 :: object r1 :: bool L0: r0 = a.__eq__(b) r1 = unbox(bool, r0) return r1 def fOpt2(a, b): a, b :: __main__.Derived r0 :: str r1 :: object[2] r2 :: object_ptr r3 :: object r4 :: bool L0: r0 = '__ne__' r1 = [a, b] r2 = load_address r1 r3 = PyObject_VectorcallMethod(r0, r2, 9223372036854775810, 0) keep_alive a, b r4 = unbox(bool, r3) return r4 def Derived.__eq__(self, other): self :: __main__.Derived other, r0 :: object L0: r0 = box(bool, 1) return r0 def Derived.__ne__(__mypyc_self__, rhs): __mypyc_self__ :: __main__.Derived rhs, r0, r1 :: object r2 :: bit r3 :: object r4, r5 :: bit r6 :: object r7 :: bit r8 :: i32 r9 :: bit r10 :: bool r11 :: object L0: r0 = __mypyc_self__.__eq__(rhs) r1 = load_address _Py_NotImplementedStruct r2 = r0 == r1 if r2 goto L7 else goto L1 :: bool L1: r3 = load_global Py_True :: static r4 = r0 == r3 if r4 goto L2 else goto L3 :: bool L2: r5 = 0 goto L6 L3: r6 = load_global Py_False :: static r7 = r0 == r6 if r7 goto L4 else goto L5 :: bool L4: r5 = 1 goto L6 L5: r8 = PyObject_Not(r0) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool r5 = r10 L6: r11 = box(bit, r5) return r11 L7: return r1 [case testDefaultVars] from typing import ClassVar, Optional class A: x = 10 def lol(self) -> None: self.x = 100 LOL = 'lol' class B(A): y = LOL z: Optional[str] = None b = True bogus = None # type: int [out] def A.lol(self): self :: __main__.A r0 :: bool L0: self.x = 200; r0 = is_error return 1 def A.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.A L0: __mypyc_self__.x = 20 return 1 def B.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.B r0 :: dict r1 :: str r2 :: object r3 :: str r4 :: object L0: __mypyc_self__.x = 20 r0 = __main__.globals :: static r1 = 'LOL' r2 = CPyDict_GetItem(r0, r1) r3 = cast(str, r2) __mypyc_self__.y = r3 r4 = box(None, 1) __mypyc_self__.z = r4 __mypyc_self__.b = 1 return 1 [case testSubclassDictSpecalized] from typing import Dict class WelpDict(Dict[str, int]): pass def foo(x: WelpDict) -> None: # we care that the specalized op gets used x.update(x) [out] def foo(x): x :: dict r0 :: i32 r1 :: bit L0: r0 = CPyDict_Update(x, x) r1 = r0 >= 0 :: signed return 1 [case testNoSpuriousLinearity] # Make sure that the non-trait MRO linearity check isn't affected by processing order class A(B): pass class B(C): pass class C: pass [out] [case testDeletableSemanticAnalysis] class Err1: __deletable__ = 'x' # E: "__deletable__" must be initialized with a list or tuple expression class Err2: __deletable__ = [ 1 # E: Invalid "__deletable__" item; string literal expected ] class Err3: __deletable__ = ['x', ['y'], 'z'] # E: Invalid "__deletable__" item; string literal expected class Err4: __deletable__ = (1,) # E: Invalid "__deletable__" item; string literal expected a = ['x'] class Err5: __deletable__ = a # E: "__deletable__" must be initialized with a list or tuple expression class Ok1: __deletable__ = ('x',) x: int class Ok2: __deletable__ = ['x'] x: int [case testInvalidDeletableAttribute] class NotDeletable: __deletable__ = ['x'] x: int y: int def g(o: NotDeletable) -> None: del o.x del o.y # E: "y" cannot be deleted \ # N: Using "__deletable__ = ['']" in the class body enables "del obj." class Base: x: int class Deriv(Base): __deletable__ = ['x'] # E: Attribute "x" not defined in "Deriv" (defined in "Base") class UndefinedDeletable: __deletable__ = ['x'] # E: Attribute "x" not defined class DeletableProperty: __deletable__ = ['prop'] # E: Cannot make property "prop" deletable @property def prop(self) -> int: return 5 [case testFinalDeletable] from typing import Final class DeletableFinal1: x: Final[int] # E: Deletable attribute cannot be final __deletable__ = ['x'] def __init__(self, x: int) -> None: self.x = x class DeletableFinal2: X: Final = 0 # E: Deletable attribute cannot be final __deletable__ = ['X'] [case testNeedAnnotateClassVar] from typing import Final, ClassVar, Type class C: a = 'A' b: str = 'B' f: Final = 'F' c: ClassVar = 'C' class D(C): pass def f() -> None: C.a # E: Cannot access instance attribute "a" through class object \ # N: (Hint: Use "x: Final = ..." or "x: ClassVar = ..." to define a class attribute) C.b # E: Cannot access instance attribute "b" through class object \ # N: (Hint: Use "x: Final = ..." or "x: ClassVar = ..." to define a class attribute) C.f C.c D.a # E: Cannot access instance attribute "a" through class object \ # N: (Hint: Use "x: Final = ..." or "x: ClassVar = ..." to define a class attribute) D.b # E: Cannot access instance attribute "b" through class object \ # N: (Hint: Use "x: Final = ..." or "x: ClassVar = ..." to define a class attribute) D.f D.c def g(c: Type[C], d: Type[D]) -> None: c.a # E: Cannot access instance attribute "a" through class object \ # N: (Hint: Use "x: Final = ..." or "x: ClassVar = ..." to define a class attribute) c.f c.c d.a # E: Cannot access instance attribute "a" through class object \ # N: (Hint: Use "x: Final = ..." or "x: ClassVar = ..." to define a class attribute) d.f d.c [case testSetAttributeWithDefaultInInit] class C: s = '' def __init__(self, s: str) -> None: self.s = s [out] def C.__init__(self, s): self :: __main__.C s :: str r0 :: bool L0: self.s = s; r0 = is_error return 1 def C.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.C r0 :: str L0: r0 = '' __mypyc_self__.s = r0 return 1 [case testBorrowAttribute] def f(d: D) -> int: return d.c.x class C: x: int class D: c: C [out] def f(d): d :: __main__.D r0 :: __main__.C r1 :: int L0: r0 = borrow d.c r1 = r0.x keep_alive d return r1 [case testNoBorrowOverPropertyAccess] class C: d: D class D: @property def e(self) -> E: return E() class E: x: int def f(c: C) -> int: return c.d.e.x [out] def D.e(self): self :: __main__.D r0 :: __main__.E L0: r0 = E() return r0 def f(c): c :: __main__.C r0 :: __main__.D r1 :: __main__.E r2 :: int L0: r0 = c.d r1 = r0.e r2 = r1.x return r2 [case testBorrowResultOfCustomGetItemInIfStatement] from typing import List class C: def __getitem__(self, x: int) -> List[int]: return [] def f(x: C) -> None: # In this case the keep_alive must come before the branch, as otherwise # reference count transform will get confused. if x[1][0] == 2: y = 1 else: y = 2 [out] def C.__getitem__(self, x): self :: __main__.C x :: int r0 :: list L0: r0 = PyList_New(0) return r0 def f(x): x :: __main__.C r0 :: list r1 :: object r2 :: int r3 :: bit y :: int L0: r0 = x.__getitem__(2) r1 = CPyList_GetItemShortBorrow(r0, 0) r2 = unbox(int, r1) r3 = int_eq r2, 4 keep_alive r0 if r3 goto L1 else goto L2 :: bool L1: y = 2 goto L3 L2: y = 4 L3: return 1 [case testIncompatibleDefinitionOfAttributeInSubclass] from mypy_extensions import trait class Base: x: int class Bad1(Base): x: bool # E: Type of "x" is incompatible with definition in class "Base" class Good1(Base): x: int class Good2(Base): x: int = 0 class Good3(Base): x = 0 class Good4(Base): def __init__(self) -> None: self.x = 0 class Good5(Base): def __init__(self) -> None: self.x: int = 0 class Base2(Base): pass class Bad2(Base2): x: bool = False # E: Type of "x" is incompatible with definition in class "Base" class Bad3(Base): x = False # E: Type of "x" is incompatible with definition in class "Base" @trait class T: y: object class E(T): y: str # E: Type of "y" is incompatible with definition in trait "T" [case testNestedClasses] def outer(): class Inner: # E: Nested class definitions not supported pass return Inner if True: class OtherInner: # E: Nested class definitions not supported pass [case testEnumClassAlias] from enum import Enum from typing import Literal, Union class SomeEnum(Enum): AVALUE = "a" ALIAS = Literal[SomeEnum.AVALUE] ALIAS2 = Union[Literal[SomeEnum.AVALUE], None] [case testMypycAttrNativeClassErrors] from mypy_extensions import mypyc_attr @mypyc_attr(native_class=False) class AnnontatedNonExtensionClass: pass @mypyc_attr(native_class=False) class DerivedExplicitNonNativeClass(AnnontatedNonExtensionClass): pass def decorator(cls): return cls @mypyc_attr(native_class=True) @decorator class NonNativeClassContradiction(): # E: Class is marked as native_class=True but it can't be a native class. Classes that have decorators other than supported decorators can't be native classes. pass @mypyc_attr(native_class="yes") class BadUse(): # E: native_class must be used with True or False only pass [case testMypycAttrNativeClassMetaError] from mypy_extensions import mypyc_attr @mypyc_attr(native_class=True) class M(type): # E: Inheriting from most builtin types is unimplemented \ # N: Potential workaround: @mypy_extensions.mypyc_attr(native_class=False) \ # N: https://mypyc.readthedocs.io/en/stable/native_classes.html#defining-non-native-classes pass @mypyc_attr(native_class=True) class A(metaclass=M): # E: Class is marked as native_class=True but it can't be a native class. Classes with a metaclass other than ABCMeta, TypingMeta or GenericMeta can't be native classes. pass [case testReservedName] from typing import Any, overload def decorator(cls): return cls class TestMethod: def __mypyc_generator_helper__(self) -> None: # E: Method name "__mypyc_generator_helper__" is reserved for mypyc internal use pass class TestDecorator: @decorator # E: Method name "__mypyc_generator_helper__" is reserved for mypyc internal use def __mypyc_generator_helper__(self) -> None: pass class TestOverload: @overload # E: Method name "__mypyc_generator_helper__" is reserved for mypyc internal use def __mypyc_generator_helper__(self, x: int) -> int: ... @overload def __mypyc_generator_helper__(self, x: str) -> str: ... def __mypyc_generator_helper__(self, x: Any) -> Any: return x [case testNativeBufferFastPath] from typing import Final from mypy_extensions import u8 from librt.internal import ( WriteBuffer, ReadBuffer, write_bool, read_bool, write_str, read_str, write_float, read_float, write_int, read_int, write_tag, read_tag, write_bytes, read_bytes, cache_version, ) Tag = u8 TAG: Final[Tag] = 1 def foo() -> None: b = WriteBuffer() write_str(b, "foo") write_bytes(b, b"bar") write_bool(b, True) write_float(b, 0.1) write_int(b, 1) write_tag(b, TAG) rb = ReadBuffer(b.getvalue()) x = read_str(rb) xb = read_bytes(rb) y = read_bool(rb) z = read_float(rb) t = read_int(rb) u = read_tag(rb) v = cache_version() [out] def foo(): r0, b :: librt.internal.WriteBuffer r1 :: str r2 :: None r3 :: bytes r4, r5, r6, r7, r8 :: None r9 :: bytes r10, rb :: librt.internal.ReadBuffer r11, x :: str r12, xb :: bytes r13, y :: bool r14, z :: float r15, t :: int r16, u, r17, v :: u8 L0: r0 = WriteBuffer_internal() b = r0 r1 = 'foo' r2 = write_str_internal(b, r1) r3 = b'bar' r4 = write_bytes_internal(b, r3) r5 = write_bool_internal(b, 1) r6 = write_float_internal(b, 0.1) r7 = write_int_internal(b, 2) r8 = write_tag_internal(b, 1) r9 = WriteBuffer_getvalue_internal(b) r10 = ReadBuffer_internal(r9) rb = r10 r11 = read_str_internal(rb) x = r11 r12 = read_bytes_internal(rb) xb = r12 r13 = read_bool_internal(rb) y = r13 r14 = read_float_internal(rb) z = r14 r15 = read_int_internal(rb) t = r15 r16 = read_tag_internal(rb) u = r16 r17 = cache_version_internal() v = r17 return 1 [case testEnumFastPath] from enum import Enum def test(e: E) -> bool: return e.is_one() class E(Enum): ONE = 1 TWO = 2 def is_one(self) -> bool: return self == E.ONE [out] def test(e): e :: __main__.E r0 :: bool L0: r0 = e.__mypyc_fast_is_one() return r0 def is_one_E_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def is_one_E_obj.__call__(__mypyc_self__, self): __mypyc_self__ :: __main__.is_one_E_obj self, r0 :: __main__.E r1 :: bool r2 :: bit L0: r0 = __main__.E.ONE :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "ONE" was not set') unreachable L2: r2 = self == r0 return r2 def E.__mypyc_fast_is_one(self): self, r0 :: __main__.E r1 :: bool r2 :: bit L0: r0 = __main__.E.ONE :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "ONE" was not set') unreachable L2: r2 = self == r0 return r2 [case testTypeObjectName_python3_11] from typing import Any class C: pass class D(C): pass def n1(t: type[object]) -> str: return t.__name__ def n2(t: Any) -> str: return t.__name__ def n3() -> str: return C.__name__ def n4(t: type[C]) -> str: return t.__name__ [out] def n1(t): t, r0 :: object r1 :: str L0: r0 = CPy_GetName(t) r1 = cast(str, r0) return r1 def n2(t): t, r0 :: object r1 :: str L0: r0 = CPy_GetName(t) r1 = cast(str, r0) return r1 def n3(): r0, r1 :: object r2 :: str L0: r0 = __main__.C :: type r1 = CPy_GetName(r0) r2 = cast(str, r1) return r2 def n4(t): t, r0 :: object r1 :: str L0: r0 = CPy_GetName(t) r1 = cast(str, r0) return r1 [case testTypeOfObject] class C: pass class D(C): pass def generic_type(x: object) -> type[object]: return type(x) def generic_class(x: object) -> type[object]: return x.__class__ def native_type(x: C) -> type[object]: return type(x) def native_class(x: C) -> type[object]: return x.__class__ [out] def generic_type(x): x, r0 :: object L0: r0 = CPy_TYPE(x) return r0 def generic_class(x): x :: object r0 :: str r1 :: object L0: r0 = '__class__' r1 = CPyObject_GetAttr(x, r0) return r1 def native_type(x): x :: __main__.C r0 :: object L0: r0 = CPy_TYPE(x) return r0 def native_class(x): x :: __main__.C r0 :: object L0: r0 = CPy_TYPE(x) return r0 [case testDunderNew] from __future__ import annotations from typing import Any class Test: val: int def __new__(cls, val: int) -> Test: obj = super().__new__(cls) obj.val = val return obj class Test2: def __new__(cls) -> Test2: return super().__new__(cls) class Sub(Test2): pass def fn() -> Test: return Test.__new__(Test, 42) class NewClassMethod: val: int @classmethod def __new__(cls, val: int) -> NewClassMethod: obj = super().__new__(cls) obj.val = val return obj def fn2() -> NewClassMethod: return NewClassMethod.__new__(42) class NotTransformed: def __new__(cls, val: int) -> Any: return super().__new__(str) def factory(cls: Any, val: int) -> Any: cls = str return super().__new__(cls) [out] def Test.__new__(cls, val): cls :: object val :: int r0, obj :: __main__.Test r1 :: bool L0: r0 = __mypyc__Test_setup(cls) obj = r0 obj.val = val; r1 = is_error return obj def Test2.__new__(cls): cls, r0 :: object r1 :: __main__.Test2 L0: r0 = CPy_SetupObject(cls) r1 = cast(__main__.Test2, r0) return r1 def fn(): r0 :: object r1 :: __main__.Test L0: r0 = __main__.Test :: type r1 = Test.__new__(r0, 84) return r1 def NewClassMethod.__new__(cls, val): cls :: object val :: int r0, obj :: __main__.NewClassMethod r1 :: bool L0: r0 = __mypyc__NewClassMethod_setup(cls) obj = r0 obj.val = val; r1 = is_error return obj def fn2(): r0 :: object r1 :: __main__.NewClassMethod L0: r0 = __main__.NewClassMethod :: type r1 = NewClassMethod.__new__(r0, 84) return r1 def NotTransformed.__new__(cls, val): cls :: object val :: int r0 :: object r1 :: str r2, r3 :: object r4 :: object[2] r5 :: object_ptr r6 :: object r7 :: str r8, r9 :: object r10 :: object[1] r11 :: object_ptr r12 :: object r13 :: str L0: r0 = builtins :: module r1 = 'super' r2 = CPyObject_GetAttr(r0, r1) r3 = __main__.NotTransformed :: type r4 = [r3, cls] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 2, 0) keep_alive r3, cls r7 = '__new__' r8 = CPyObject_GetAttr(r6, r7) r9 = load_address PyUnicode_Type r10 = [r9] r11 = load_address r10 r12 = PyObject_Vectorcall(r8, r11, 1, 0) keep_alive r9 r13 = cast(str, r12) return r13 def NotTransformed.factory(cls, val): cls :: object val :: int r0, r1 :: object r2 :: str r3, r4 :: object r5 :: object[2] r6 :: object_ptr r7 :: object r8 :: str r9 :: object r10 :: object[1] r11 :: object_ptr r12 :: object L0: r0 = load_address PyUnicode_Type cls = r0 r1 = builtins :: module r2 = 'super' r3 = CPyObject_GetAttr(r1, r2) r4 = __main__.NotTransformed :: type r5 = [r4, cls] r6 = load_address r5 r7 = PyObject_Vectorcall(r3, r6, 2, 0) keep_alive r4, cls r8 = '__new__' r9 = CPyObject_GetAttr(r7, r8) r10 = [cls] r11 = load_address r10 r12 = PyObject_Vectorcall(r9, r11, 1, 0) keep_alive cls return r12 [case testObjectDunderNew_64bit] from __future__ import annotations from mypy_extensions import mypyc_attr from typing import Any class Test: val: int def __new__(cls, val: int) -> Test: obj = object.__new__(cls) obj.val = val return obj class Test2: def __new__(cls) -> Test2: return object.__new__(cls) class Sub(Test2): pass def fn() -> Test: return Test.__new__(Test, 42) class NewClassMethod: val: int @classmethod def __new__(cls, val: int) -> NewClassMethod: obj = object.__new__(cls) obj.val = val return obj def fn2() -> NewClassMethod: return NewClassMethod.__new__(42) class NotTransformed: def __new__(cls, val: int) -> Any: return object.__new__(str) def factory(cls: Any, val: int) -> Any: cls = str return object.__new__(cls) @mypyc_attr(native_class=False) class NonNative: def __new__(cls: Any) -> Any: cls = str return cls("str") class InheritsPython(dict): def __new__(cls: Any) -> Any: cls = dict return cls({}) class ObjectNewOutsideDunderNew: def __init__(self) -> None: object.__new__(ObjectNewOutsideDunderNew) def object_new_outside_class() -> None: object.__new__(Test) [out] def Test.__new__(cls, val): cls :: object val :: int r0, obj :: __main__.Test r1 :: bool L0: r0 = __mypyc__Test_setup(cls) obj = r0 obj.val = val; r1 = is_error return obj def Test2.__new__(cls): cls, r0 :: object r1 :: __main__.Test2 L0: r0 = CPy_SetupObject(cls) r1 = cast(__main__.Test2, r0) return r1 def fn(): r0 :: object r1 :: __main__.Test L0: r0 = __main__.Test :: type r1 = Test.__new__(r0, 84) return r1 def NewClassMethod.__new__(cls, val): cls :: object val :: int r0, obj :: __main__.NewClassMethod r1 :: bool L0: r0 = __mypyc__NewClassMethod_setup(cls) obj = r0 obj.val = val; r1 = is_error return obj def fn2(): r0 :: object r1 :: __main__.NewClassMethod L0: r0 = __main__.NewClassMethod :: type r1 = NewClassMethod.__new__(r0, 84) return r1 def NotTransformed.__new__(cls, val): cls :: object val :: int r0 :: object r1 :: str r2, r3 :: object r4 :: str r5 :: object[2] r6 :: object_ptr r7 :: object r8 :: str L0: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = load_address PyUnicode_Type r4 = '__new__' r5 = [r2, r3] r6 = load_address r5 r7 = PyObject_VectorcallMethod(r4, r6, 9223372036854775810, 0) keep_alive r2, r3 r8 = cast(str, r7) return r8 def NotTransformed.factory(cls, val): cls :: object val :: int r0, r1 :: object r2 :: str r3 :: object r4 :: str r5 :: object[2] r6 :: object_ptr r7 :: object L0: r0 = load_address PyUnicode_Type cls = r0 r1 = builtins :: module r2 = 'object' r3 = CPyObject_GetAttr(r1, r2) r4 = '__new__' r5 = [r3, cls] r6 = load_address r5 r7 = PyObject_VectorcallMethod(r4, r6, 9223372036854775810, 0) keep_alive r3, cls return r7 def __new___NonNative_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def __new___NonNative_obj.__call__(__mypyc_self__, cls): __mypyc_self__ :: __main__.__new___NonNative_obj cls, r0 :: object r1 :: str r2 :: object[1] r3 :: object_ptr r4 :: object L0: r0 = load_address PyUnicode_Type cls = r0 r1 = 'str' r2 = [r1] r3 = load_address r2 r4 = PyObject_Vectorcall(cls, r3, 1, 0) keep_alive r1 return r4 def InheritsPython.__new__(cls): cls, r0 :: object r1 :: dict r2 :: object[1] r3 :: object_ptr r4 :: object L0: r0 = load_address PyDict_Type cls = r0 r1 = PyDict_New() r2 = [r1] r3 = load_address r2 r4 = PyObject_Vectorcall(cls, r3, 1, 0) keep_alive r1 return r4 def ObjectNewOutsideDunderNew.__init__(self): self :: __main__.ObjectNewOutsideDunderNew r0 :: object r1 :: str r2, r3 :: object r4 :: str r5 :: object[2] r6 :: object_ptr r7 :: object L0: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = __main__.ObjectNewOutsideDunderNew :: type r4 = '__new__' r5 = [r2, r3] r6 = load_address r5 r7 = PyObject_VectorcallMethod(r4, r6, 9223372036854775810, 0) keep_alive r2, r3 return 1 def object_new_outside_class(): r0 :: object r1 :: str r2, r3 :: object r4 :: str r5 :: object[2] r6 :: object_ptr r7 :: object L0: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = __main__.Test :: type r4 = '__new__' r5 = [r2, r3] r6 = load_address r5 r7 = PyObject_VectorcallMethod(r4, r6, 9223372036854775810, 0) keep_alive r2, r3 return 1 [case testUnsupportedDunderNew] from __future__ import annotations from mypy_extensions import mypyc_attr from typing import Any @mypyc_attr(native_class=False) class NonNative: def __new__(cls) -> NonNative: return super().__new__(cls) # E: "object.__new__()" not supported for non-extension classes class InheritsPython(dict): def __new__(cls) -> InheritsPython: return super().__new__(cls) # E: "object.__new__()" not supported for classes inheriting from non-native classes @mypyc_attr(native_class=False) class NonNativeObjectNew: def __new__(cls) -> NonNativeObjectNew: return object.__new__(cls) # E: "object.__new__()" not supported for non-extension classes class InheritsPythonObjectNew(dict): def __new__(cls) -> InheritsPythonObjectNew: return object.__new__(cls) # E: "object.__new__()" not supported for classes inheriting from non-native classes class ClsAssignment: def __new__(cls: Any) -> Any: cls = str # E: Assignment to argument "cls" in "__new__" method unsupported return super().__new__(cls) class ClsTupleAssignment: def __new__(class_i_want: Any, val: int) -> Any: class_i_want, val = dict, 1 # E: Assignment to argument "class_i_want" in "__new__" method unsupported return object.__new__(class_i_want) class ClsListAssignment: def __new__(cls: Any, val: str) -> Any: [cls, val] = [object, "object"] # E: Assignment to argument "cls" in "__new__" method unsupported return object.__new__(cls) class ClsNestedAssignment: def __new__(cls: Any, val1: str, val2: int) -> Any: [val1, [val2, cls]] = ["val1", [2, int]] # E: Assignment to argument "cls" in "__new__" method unsupported return object.__new__(cls) class WrongNumberOfArgs: def __new__(cls): return super().__new__() # E: "object.__new__()" supported only with 1 argument, got 0 class WrongNumberOfArgsObjectNew: def __new__(cls): return object.__new__(cls, 1) # E: "object.__new__()" supported only with 1 argument, got 2 [case testClassWithFreeList] from mypy_extensions import mypyc_attr, trait @mypyc_attr(free_list_len=1) class UsesFreeList: pass @mypyc_attr(free_list_len=None) class NoFreeList: pass @mypyc_attr(free_list_len=2) # E: Unsupported value for "free_list_len": 2 class FreeListError: pass @trait @mypyc_attr(free_list_len=1) # E: "free_list_len" can't be used with traits class NonNative: pass @mypyc_attr(free_list_len=1, allow_interpreted_subclasses=True) # E: "free_list_len" can't be used in a class that allows interpreted subclasses class InterpSub: pass [case testUnsupportedGetAttr] from mypy_extensions import mypyc_attr @mypyc_attr(allow_interpreted_subclasses=True) class AllowsInterpreted: def __getattr__(self, attr: str) -> object: # E: "__getattr__" not supported in class "AllowsInterpreted" because it allows interpreted subclasses return 0 class InheritsInterpreted(dict): def __getattr__(self, attr: str) -> object: # E: "__getattr__" not supported in class "InheritsInterpreted" because it inherits from a non-native class return 0 @mypyc_attr(native_class=False) class NonNative: pass class InheritsNonNative(NonNative): def __getattr__(self, attr: str) -> object: # E: "__getattr__" not supported in class "InheritsNonNative" because it inherits from a non-native class return 0 [case testGetAttr] from typing import ClassVar class GetAttr: class_var = "x" class_var_annotated: ClassVar[int] = 99 def __init__(self, regular_attr: int): self.regular_attr = regular_attr def __getattr__(self, attr: str) -> object: return attr def method(self) -> int: return 0 def test_getattr() -> list[object]: i = GetAttr(42) one = i.one two = i.regular_attr three = i.class_var four = i.class_var_annotated five = i.method() return [one, two, three, four, five] [typing fixtures/typing-full.pyi] [out] def GetAttr.__init__(self, regular_attr): self :: __main__.GetAttr regular_attr :: int L0: self.regular_attr = regular_attr return 1 def GetAttr.__getattr__(self, attr): self :: __main__.GetAttr attr :: str L0: return attr def GetAttr.__getattr____wrapper(__mypyc_self__, attr): __mypyc_self__ :: __main__.GetAttr attr, r0 :: object r1 :: bit r2 :: str r3 :: object L0: r0 = CPyObject_GenericGetAttr(__mypyc_self__, attr) r1 = r0 != 0 if r1 goto L1 else goto L2 :: bool L1: return r0 L2: r2 = cast(str, attr) r3 = __mypyc_self__.__getattr__(r2) return r3 def GetAttr.method(self): self :: __main__.GetAttr L0: return 0 def GetAttr.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.GetAttr r0 :: str L0: r0 = 'x' __mypyc_self__.class_var = r0 return 1 def test_getattr(): r0, i :: __main__.GetAttr r1 :: str r2, one :: object r3, two :: int r4, three, r5 :: str r6 :: object r7, four, r8, five :: int r9 :: list r10, r11, r12 :: object r13 :: ptr L0: r0 = GetAttr(84) i = r0 r1 = 'one' r2 = CPyObject_GetAttr(i, r1) one = r2 r3 = i.regular_attr two = r3 r4 = i.class_var three = r4 r5 = 'class_var_annotated' r6 = CPyObject_GetAttr(i, r5) r7 = unbox(int, r6) four = r7 r8 = i.method() five = r8 r9 = PyList_New(5) r10 = box(int, two) r11 = box(int, four) r12 = box(int, five) r13 = list_items r9 buf_init_item r13, 0, one buf_init_item r13, 1, r10 buf_init_item r13, 2, three buf_init_item r13, 3, r11 buf_init_item r13, 4, r12 keep_alive r9 return r9 [case testUnsupportedSetAttr] from mypy_extensions import mypyc_attr @mypyc_attr(allow_interpreted_subclasses=True) class AllowsInterpreted: def __setattr__(self, attr: str, val: object) -> None: # E: "__setattr__" not supported in class "AllowsInterpreted" because it allows interpreted subclasses pass def __delattr__(self, attr: str) -> None: pass class InheritsInterpreted(dict): def __setattr__(self, attr: str, val: object) -> None: # E: "__setattr__" not supported in class "InheritsInterpreted" because it inherits from a non-native class pass def __delattr__(self, attr: str) -> None: pass @mypyc_attr(native_class=False) class NonNative: def __setattr__(self, attr: str, val: object) -> None: pass class InheritsNonNative(NonNative): def __setattr__(self, attr: str, val: object) -> None: # E: "__setattr__" not supported in class "InheritsNonNative" because it inherits from a non-native class pass def __delattr__(self, attr: str) -> None: pass [case testUnsupportedDelAttr] class SetAttr: def __setattr__(self, attr: str, val: object) -> None: pass class NoSetAttr: def __delattr__(self, attr: str) -> None: # E: "__delattr__" supported only in classes that also override "__setattr__", or inherit from a native class that overrides it. pass class InheritedSetAttr(SetAttr): def __delattr__(self, attr: str) -> None: pass [case testSetAttr] from typing import ClassVar class SetAttr: _attributes: dict[str, object] regular_attr: int class_var: ClassVar[str] = "x" def __init__(self, regular_attr: int, extra_attrs: dict[str, object], new_attr: str, new_val: object) -> None: super().__setattr__("_attributes", extra_attrs) object.__setattr__(self, "regular_attr", regular_attr) super().__setattr__(new_attr, new_val) object.__setattr__(self, new_attr, new_val) def __setattr__(self, key: str, val: object) -> None: if key == "regular_attr": super().__setattr__("regular_attr", val) elif key == "class_var": raise AttributeError() else: self._attributes[key] = val def test(attr: str, val: object) -> None: i = SetAttr(99, {}, attr, val) i.regular_attr = 100 i.new_attr = 101 object.__setattr__(i, "regular_attr", 11) object.__setattr__(i, attr, val) [typing fixtures/typing-full.pyi] [out] def SetAttr.__init__(self, regular_attr, extra_attrs, new_attr, new_val): self :: __main__.SetAttr regular_attr :: int extra_attrs :: dict new_attr :: str new_val :: object r0 :: i32 r1 :: bit r2 :: i32 r3 :: bit L0: self._attributes = extra_attrs self.regular_attr = regular_attr r0 = CPyObject_GenericSetAttr(self, new_attr, new_val) r1 = r0 >= 0 :: signed r2 = CPyObject_GenericSetAttr(self, new_attr, new_val) r3 = r2 >= 0 :: signed return 1 def SetAttr.__setattr__(self, key, val): self :: __main__.SetAttr key :: str val :: object r0 :: str r1 :: bool r2 :: int r3 :: bool r4 :: str r5 :: bool r6 :: object r7 :: str r8, r9 :: object r10 :: dict r11 :: i32 r12 :: bit L0: r0 = 'regular_attr' r1 = CPyStr_EqualLiteral(key, r0, 12) if r1 goto L1 else goto L2 :: bool L1: r2 = unbox(int, val) self.regular_attr = r2; r3 = is_error goto L6 L2: r4 = 'class_var' r5 = CPyStr_EqualLiteral(key, r4, 9) if r5 goto L3 else goto L4 :: bool L3: r6 = builtins :: module r7 = 'AttributeError' r8 = CPyObject_GetAttr(r6, r7) r9 = PyObject_Vectorcall(r8, 0, 0, 0) CPy_Raise(r9) unreachable L4: r10 = self._attributes r11 = CPyDict_SetItem(r10, key, val) r12 = r11 >= 0 :: signed L5: L6: return 1 def SetAttr.__setattr____wrapper(__mypyc_self__, attr, value): __mypyc_self__ :: __main__.SetAttr attr, value :: object r0 :: bit r1 :: i32 r2 :: bit r3 :: str r4 :: None L0: r0 = value == 0 if r0 goto L1 else goto L2 :: bool L1: r1 = CPyObject_GenericSetAttr(__mypyc_self__, attr, 0) r2 = r1 >= 0 :: signed return 0 L2: r3 = cast(str, attr) r4 = __mypyc_self__.__setattr__(r3, value) return 0 def test(attr, val): attr :: str val :: object r0 :: dict r1, i :: __main__.SetAttr r2 :: str r3 :: object r4 :: None r5 :: str r6 :: object r7 :: i32 r8 :: bit r9 :: str r10 :: object r11 :: i32 r12 :: bit r13 :: i32 r14 :: bit L0: r0 = PyDict_New() r1 = SetAttr(198, r0, attr, val) i = r1 r2 = 'regular_attr' r3 = object 100 r4 = i.__setattr__(r2, r3) r5 = 'new_attr' r6 = object 101 r7 = PyObject_SetAttr(i, r5, r6) r8 = r7 >= 0 :: signed r9 = 'regular_attr' r10 = object 11 r11 = CPyObject_GenericSetAttr(i, r9, r10) r12 = r11 >= 0 :: signed r13 = CPyObject_GenericSetAttr(i, attr, val) r14 = r13 >= 0 :: signed return 1 [case testSetAttrAndDelAttr] from typing import ClassVar class SetAttr: _attributes: dict[str, object] regular_attr: int class_var: ClassVar[str] = "x" def __init__(self, regular_attr: int, extra_attrs: dict[str, object], new_attr: str, new_val: object) -> None: super().__setattr__("_attributes", extra_attrs) object.__setattr__(self, "regular_attr", regular_attr) super().__setattr__(new_attr, new_val) object.__setattr__(self, new_attr, new_val) def __setattr__(self, key: str, val: object) -> None: if key == "regular_attr": super().__setattr__("regular_attr", val) elif key == "class_var": raise AttributeError() else: self._attributes[key] = val def __delattr__(self, key: str) -> None: del self._attributes[key] [typing fixtures/typing-full.pyi] [out] def SetAttr.__init__(self, regular_attr, extra_attrs, new_attr, new_val): self :: __main__.SetAttr regular_attr :: int extra_attrs :: dict new_attr :: str new_val :: object r0 :: i32 r1 :: bit r2 :: i32 r3 :: bit L0: self._attributes = extra_attrs self.regular_attr = regular_attr r0 = CPyObject_GenericSetAttr(self, new_attr, new_val) r1 = r0 >= 0 :: signed r2 = CPyObject_GenericSetAttr(self, new_attr, new_val) r3 = r2 >= 0 :: signed return 1 def SetAttr.__setattr__(self, key, val): self :: __main__.SetAttr key :: str val :: object r0 :: str r1 :: bool r2 :: int r3 :: bool r4 :: str r5 :: bool r6 :: object r7 :: str r8, r9 :: object r10 :: dict r11 :: i32 r12 :: bit L0: r0 = 'regular_attr' r1 = CPyStr_EqualLiteral(key, r0, 12) if r1 goto L1 else goto L2 :: bool L1: r2 = unbox(int, val) self.regular_attr = r2; r3 = is_error goto L6 L2: r4 = 'class_var' r5 = CPyStr_EqualLiteral(key, r4, 9) if r5 goto L3 else goto L4 :: bool L3: r6 = builtins :: module r7 = 'AttributeError' r8 = CPyObject_GetAttr(r6, r7) r9 = PyObject_Vectorcall(r8, 0, 0, 0) CPy_Raise(r9) unreachable L4: r10 = self._attributes r11 = CPyDict_SetItem(r10, key, val) r12 = r11 >= 0 :: signed L5: L6: return 1 def SetAttr.__setattr____wrapper(__mypyc_self__, attr, value): __mypyc_self__ :: __main__.SetAttr attr, value :: object r0 :: bit r1 :: str r2 :: None r3 :: str r4 :: None L0: r0 = value == 0 if r0 goto L1 else goto L2 :: bool L1: r1 = cast(str, attr) r2 = __mypyc_self__.__delattr__(r1) return 0 L2: r3 = cast(str, attr) r4 = __mypyc_self__.__setattr__(r3, value) return 0 def SetAttr.__delattr__(self, key): self :: __main__.SetAttr key :: str r0 :: dict r1 :: i32 r2 :: bit L0: r0 = self._attributes r1 = PyObject_DelItem(r0, key) r2 = r1 >= 0 :: signed return 1 [case testUntransformedSetAttr_64bit] from mypy_extensions import mypyc_attr class SetAttr: def super_missing_args(self): super().__setattr__() super().__setattr__("attr") def object_missing_args(self): object.__setattr__() object.__setattr__(self) object.__setattr__(self, "attr") @mypyc_attr(native_class=False) class NonNative: def super_setattr(self, key: str, val: object) -> None: super().__setattr__(key, val) def object_setattr(self, key: str, val: object) -> None: object.__setattr__(self, key, val) class InheritsPython(NonNative): def super_setattr(self, key: str, val: object) -> None: super().__setattr__(key, val) def object_setattr(self, key: str, val: object) -> None: object.__setattr__(self, key, val) class BuiltInBase(dict): def super_setattr(self, key: str, val: object) -> None: super().__setattr__(key, val) def object_setattr(self, key: str, val: object) -> None: object.__setattr__(self, key, val) [typing fixtures/typing-full.pyi] [out] def SetAttr.super_missing_args(self): self :: __main__.SetAttr r0 :: object r1 :: str r2, r3 :: object r4 :: object[2] r5 :: object_ptr r6 :: object r7 :: str r8, r9, r10 :: object r11 :: str r12, r13 :: object r14 :: object[2] r15 :: object_ptr r16 :: object r17 :: str r18 :: object r19 :: str r20 :: object[1] r21 :: object_ptr r22, r23 :: object L0: r0 = builtins :: module r1 = 'super' r2 = CPyObject_GetAttr(r0, r1) r3 = __main__.SetAttr :: type r4 = [r3, self] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 2, 0) keep_alive r3, self r7 = '__setattr__' r8 = CPyObject_GetAttr(r6, r7) r9 = PyObject_Vectorcall(r8, 0, 0, 0) r10 = builtins :: module r11 = 'super' r12 = CPyObject_GetAttr(r10, r11) r13 = __main__.SetAttr :: type r14 = [r13, self] r15 = load_address r14 r16 = PyObject_Vectorcall(r12, r15, 2, 0) keep_alive r13, self r17 = '__setattr__' r18 = CPyObject_GetAttr(r16, r17) r19 = 'attr' r20 = [r19] r21 = load_address r20 r22 = PyObject_Vectorcall(r18, r21, 1, 0) keep_alive r19 r23 = box(None, 1) return r23 def SetAttr.object_missing_args(self): self :: __main__.SetAttr r0 :: object r1 :: str r2 :: object r3 :: str r4 :: object[1] r5 :: object_ptr r6, r7 :: object r8 :: str r9 :: object r10 :: str r11 :: object[2] r12 :: object_ptr r13, r14 :: object r15 :: str r16 :: object r17, r18 :: str r19 :: object[3] r20 :: object_ptr r21, r22 :: object L0: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = '__setattr__' r4 = [r2] r5 = load_address r4 r6 = PyObject_VectorcallMethod(r3, r5, 9223372036854775809, 0) keep_alive r2 r7 = builtins :: module r8 = 'object' r9 = CPyObject_GetAttr(r7, r8) r10 = '__setattr__' r11 = [r9, self] r12 = load_address r11 r13 = PyObject_VectorcallMethod(r10, r12, 9223372036854775810, 0) keep_alive r9, self r14 = builtins :: module r15 = 'object' r16 = CPyObject_GetAttr(r14, r15) r17 = 'attr' r18 = '__setattr__' r19 = [r16, self, r17] r20 = load_address r19 r21 = PyObject_VectorcallMethod(r18, r20, 9223372036854775811, 0) keep_alive r16, self, r17 r22 = box(None, 1) return r22 def super_setattr_NonNative_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def super_setattr_NonNative_obj.__call__(__mypyc_self__, self, key, val): __mypyc_self__ :: __main__.super_setattr_NonNative_obj self :: __main__.NonNative key :: str val, r0 :: object r1 :: str r2, r3 :: object r4 :: object[2] r5 :: object_ptr r6 :: object r7 :: str r8 :: object r9 :: object[2] r10 :: object_ptr r11 :: object L0: r0 = builtins :: module r1 = 'super' r2 = CPyObject_GetAttr(r0, r1) r3 = __main__.NonNative :: type r4 = [r3, self] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 2, 0) keep_alive r3, self r7 = '__setattr__' r8 = CPyObject_GetAttr(r6, r7) r9 = [key, val] r10 = load_address r9 r11 = PyObject_Vectorcall(r8, r10, 2, 0) keep_alive key, val return 1 def object_setattr_NonNative_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def object_setattr_NonNative_obj.__call__(__mypyc_self__, self, key, val): __mypyc_self__ :: __main__.object_setattr_NonNative_obj self :: __main__.NonNative key :: str val, r0 :: object r1 :: str r2 :: object r3 :: str r4 :: object[4] r5 :: object_ptr r6 :: object L0: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = '__setattr__' r4 = [r2, self, key, val] r5 = load_address r4 r6 = PyObject_VectorcallMethod(r3, r5, 9223372036854775812, 0) keep_alive r2, self, key, val return 1 def InheritsPython.super_setattr(self, key, val): self :: __main__.InheritsPython key :: str val, r0 :: object r1 :: str r2, r3 :: object r4 :: object[2] r5 :: object_ptr r6 :: object r7 :: str r8 :: object r9 :: object[2] r10 :: object_ptr r11 :: object L0: r0 = builtins :: module r1 = 'super' r2 = CPyObject_GetAttr(r0, r1) r3 = __main__.InheritsPython :: type r4 = [r3, self] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 2, 0) keep_alive r3, self r7 = '__setattr__' r8 = CPyObject_GetAttr(r6, r7) r9 = [key, val] r10 = load_address r9 r11 = PyObject_Vectorcall(r8, r10, 2, 0) keep_alive key, val return 1 def InheritsPython.object_setattr(self, key, val): self :: __main__.InheritsPython key :: str val, r0 :: object r1 :: str r2 :: object r3 :: str r4 :: object[4] r5 :: object_ptr r6 :: object L0: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = '__setattr__' r4 = [r2, self, key, val] r5 = load_address r4 r6 = PyObject_VectorcallMethod(r3, r5, 9223372036854775812, 0) keep_alive r2, self, key, val return 1 def BuiltInBase.super_setattr(self, key, val): self :: dict key :: str val, r0 :: object r1 :: str r2, r3 :: object r4 :: object[2] r5 :: object_ptr r6 :: object r7 :: str r8 :: object r9 :: object[2] r10 :: object_ptr r11 :: object L0: r0 = builtins :: module r1 = 'super' r2 = CPyObject_GetAttr(r0, r1) r3 = __main__.BuiltInBase :: type r4 = [r3, self] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 2, 0) keep_alive r3, self r7 = '__setattr__' r8 = CPyObject_GetAttr(r6, r7) r9 = [key, val] r10 = load_address r9 r11 = PyObject_Vectorcall(r8, r10, 2, 0) keep_alive key, val return 1 def BuiltInBase.object_setattr(self, key, val): self :: dict key :: str val, r0 :: object r1 :: str r2 :: object r3 :: str r4 :: object[4] r5 :: object_ptr r6 :: object L0: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = '__setattr__' r4 = [r2, self, key, val] r5 = load_address r4 r6 = PyObject_VectorcallMethod(r3, r5, 9223372036854775812, 0) keep_alive r2, self, key, val return 1 [case testInvalidMypycAttr] from mypy_extensions import mypyc_attr @mypyc_attr("allow_interpreted_subclasses", "invalid_arg") # E: "invalid_arg" is not a supported "mypyc_attr" \ # N: supported keys: "allow_interpreted_subclasses", "free_list_len", "native_class", "serializable" class InvalidArg: pass @mypyc_attr(invalid_kwarg=True) # E: "invalid_kwarg" is not a supported "mypyc_attr" \ # N: supported keys: "allow_interpreted_subclasses", "free_list_len", "native_class", "serializable" class InvalidKwarg: pass @mypyc_attr(str()) # E: All "mypyc_attr" positional arguments must be string literals. class InvalidLiteral: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-constant-fold.test0000644000175100017510000002274315112307767022422 0ustar00runnerrunner[case testIntConstantFolding] def bin_ops() -> None: add = 15 + 47 add_mul = (2 + 3) * 5 sub = 7 - 11 div = 3 / 2 bit_and = 6 & 10 bit_or = 6 | 10 bit_xor = 6 ^ 10 lshift = 5 << 2 rshift = 13 >> 2 lshift0 = 5 << 0 rshift0 = 13 >> 0 def unary_ops() -> None: neg1 = -5 neg2 = --1 neg3 = -0 pos = +5 inverted1 = ~0 inverted2 = ~5 inverted3 = ~3 def pow() -> None: p0 = 3**0 p1 = 3**5 p2 = (-5)**3 p3 = 0**0 [out] def bin_ops(): add, add_mul, sub :: int div :: float bit_and, bit_or, bit_xor, lshift, rshift, lshift0, rshift0 :: int L0: add = 124 add_mul = 50 sub = -8 div = 1.5 bit_and = 4 bit_or = 28 bit_xor = 24 lshift = 40 rshift = 6 lshift0 = 10 rshift0 = 26 return 1 def unary_ops(): neg1, neg2, neg3, pos, inverted1, inverted2, inverted3 :: int L0: neg1 = -10 neg2 = 2 neg3 = 0 pos = 10 inverted1 = -2 inverted2 = -12 inverted3 = -8 return 1 def pow(): p0, p1, p2, p3 :: int L0: p0 = 2 p1 = 486 p2 = -250 p3 = 2 return 1 [case testIntConstantFoldingDivMod] def div() -> None: div1 = 25 // 5 div2 = 24 // 5 div3 = 29 // 5 div4 = 30 // 5 div_zero = 0 // 5 neg1 = -1 // 3 neg2 = -2 // 3 neg3 = -3 // 3 neg4 = -4 // 3 neg_neg = -765467 // -234 pos_neg = 983745 // -7864 def mod() -> None: mod1 = 25 % 5 mod2 = 24 % 5 mod3 = 29 % 5 mod4 = 30 % 5 mod_zero = 0 % 5 neg1 = -4 % 3 neg2 = -5 % 3 neg3 = -6 % 3 neg4 = -7 % 3 neg_neg = -765467 % -234 pos_neg = 983745 % -7864 [out] def div(): div1, div2, div3, div4, div_zero, neg1, neg2, neg3, neg4, neg_neg, pos_neg :: int L0: div1 = 10 div2 = 8 div3 = 10 div4 = 12 div_zero = 0 neg1 = -2 neg2 = -2 neg3 = -2 neg4 = -4 neg_neg = 6542 pos_neg = -252 return 1 def mod(): mod1, mod2, mod3, mod4, mod_zero, neg1, neg2, neg3, neg4, neg_neg, pos_neg :: int L0: mod1 = 0 mod2 = 8 mod3 = 8 mod4 = 0 mod_zero = 0 neg1 = 4 neg2 = 2 neg3 = 0 neg4 = 4 neg_neg = -106 pos_neg = -14238 return 1 [case testIntConstantFoldingUnsupportedCases] def error_cases() -> None: div_by_zero = 5 / 0 floor_div_by_zero = 5 // 0 mod_by_zero = 5 % 0 lshift_neg = 6 << -1 rshift_neg = 7 >> -1 def unsupported_pow() -> None: p = 3 ** (-1) [out] def error_cases(): r0, div_by_zero :: float r1, floor_div_by_zero, r2, mod_by_zero, r3, lshift_neg, r4, rshift_neg :: int L0: r0 = CPyTagged_TrueDivide(10, 0) div_by_zero = r0 r1 = CPyTagged_FloorDivide(10, 0) floor_div_by_zero = r1 r2 = CPyTagged_Remainder(10, 0) mod_by_zero = r2 r3 = CPyTagged_Lshift(12, -2) lshift_neg = r3 r4 = CPyTagged_Rshift(14, -2) rshift_neg = r4 return 1 def unsupported_pow(): r0, r1, r2 :: object r3, p :: float L0: r0 = object 3 r1 = object -1 r2 = CPyNumber_Power(r0, r1) r3 = unbox(float, r2) p = r3 return 1 [case testIntConstantFoldingBigIntResult_64bit] def long_and_short() -> None: # The smallest and largest representable short integers short1 = 0x3ffffffffffffff0 + 0xf # (1 << 62) - 1 short2 = -0x3fffffffffffffff - 1 # -(1 << 62) short3 = -0x4000000000000000 # Smallest big integers by absolute value big1 = 1 << 62 big2 = 0x4000000000000000 # 1 << 62 big3 = -(1 << 62) - 1 big4 = -0x4000000000000001 # -(1 << 62) - 1 big5 = 123**41 [out] def long_and_short(): short1, short2, short3, r0, big1, r1, big2, r2, big3, r3, big4, r4, big5 :: int L0: short1 = 9223372036854775806 short2 = -9223372036854775808 short3 = -9223372036854775808 r0 = object 4611686018427387904 big1 = r0 r1 = object 4611686018427387904 big2 = r1 r2 = object -4611686018427387905 big3 = r2 r3 = object -4611686018427387905 big4 = r3 r4 = object 48541095000524544750127162673405880068636916264012200797813591925035550682238127143323 big5 = r4 return 1 [case testIntConstantFoldingFinal] from typing import Final X: Final = 5 Y: Final = 2 + 4 def f() -> None: a = X + 1 a = Y + 1 [out] def f(): a :: int L0: a = 12 a = 14 return 1 [case testIntConstantFoldingClassFinal] from typing import Final class C: X: Final = 5 def f() -> None: a = C.X + 1 [out] def C.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.C L0: __mypyc_self__.X = 10 return 1 def f(): a :: int L0: a = 12 return 1 [case testFloatConstantFolding] from typing import Final N: Final = 1.5 N2: Final = 1.5 * 2 def bin_ops() -> None: add = 0.5 + 0.5 add_mul = (1.5 + 3.5) * 5.0 sub = 7.0 - 7.5 div = 3.0 / 2.0 floor_div = 3.0 // 2.0 def bin_ops_neg() -> None: add = 0.5 + -0.5 add_mul = (-1.5 + 3.5) * -5.0 add_mul2 = (1.5 + -3.5) * -5.0 sub = 7.0 - -7.5 div = 3.0 / -2.0 floor_div = 3.0 // -2.0 def unary_ops() -> None: neg1 = -5.5 neg2 = --1.5 neg3 = -0.0 pos = +5.5 def pow() -> None: p0 = 16.0**0 p1 = 16.0**0.5 p2 = (-5.0)**3 p3 = 16.0**(-0) p4 = 16.0**(-0.5) p5 = (-2.0)**(-1) def error_cases() -> None: div = 2.0 / 0.0 floor_div = 2.0 // 0.0 power_imag = (-2.0)**0.5 power_imag2 = (-2.0)**(-0.5) power_overflow = 2.0**10000.0 def final_floats() -> None: add1 = N + 1.2 add2 = N + N2 add3 = -1.2 + N2 [out] def bin_ops(): add, add_mul, sub, div, floor_div :: float L0: add = 1.0 add_mul = 25.0 sub = -0.5 div = 1.5 floor_div = 1.0 return 1 def bin_ops_neg(): add, add_mul, add_mul2, sub, div, floor_div :: float L0: add = 0.0 add_mul = -10.0 add_mul2 = 10.0 sub = 14.5 div = -1.5 floor_div = -2.0 return 1 def unary_ops(): neg1, neg2, neg3, pos :: float L0: neg1 = -5.5 neg2 = 1.5 neg3 = -0.0 pos = 5.5 return 1 def pow(): p0, p1, p2, p3, p4, p5 :: float L0: p0 = 1.0 p1 = 4.0 p2 = -125.0 p3 = 1.0 p4 = 0.25 p5 = -0.5 return 1 def error_cases(): r0 :: bit r1 :: bool r2, div, r3, floor_div :: float r4, r5, r6 :: object r7, power_imag :: float r8, r9, r10 :: object r11, power_imag2 :: float r12, r13, r14 :: object r15, power_overflow :: float L0: r0 = 0.0 == 0.0 if r0 goto L1 else goto L2 :: bool L1: r1 = raise ZeroDivisionError('float division by zero') unreachable L2: r2 = 2.0 / 0.0 div = r2 r3 = CPyFloat_FloorDivide(2.0, 0.0) floor_div = r3 r4 = box(float, -2.0) r5 = box(float, 0.5) r6 = CPyNumber_Power(r4, r5) r7 = unbox(float, r6) power_imag = r7 r8 = box(float, -2.0) r9 = box(float, -0.5) r10 = CPyNumber_Power(r8, r9) r11 = unbox(float, r10) power_imag2 = r11 r12 = box(float, 2.0) r13 = box(float, 10000.0) r14 = CPyNumber_Power(r12, r13) r15 = unbox(float, r14) power_overflow = r15 return 1 def final_floats(): add1, add2, add3 :: float L0: add1 = 2.7 add2 = 4.5 add3 = 1.8 return 1 [case testMixedFloatIntConstantFolding] def bin_ops() -> None: add = 1 + 0.5 sub = 1 - 0.5 mul = 0.5 * 5 div = 5 / 0.5 floor_div = 9.5 // 5 def error_cases() -> None: div = 2.0 / 0 floor_div = 2.0 // 0 power_overflow = 2.0**10000 [out] def bin_ops(): add, sub, mul, div, floor_div :: float L0: add = 1.5 sub = 0.5 mul = 2.5 div = 10.0 floor_div = 1.0 return 1 def error_cases(): r0 :: bit r1 :: bool r2, div, r3, floor_div :: float r4, r5, r6 :: object r7, power_overflow :: float L0: r0 = 0.0 == 0.0 if r0 goto L1 else goto L2 :: bool L1: r1 = raise ZeroDivisionError('float division by zero') unreachable L2: r2 = 2.0 / 0.0 div = r2 r3 = CPyFloat_FloorDivide(2.0, 0.0) floor_div = r3 r4 = box(float, 2.0) r5 = box(float, 10000.0) r6 = CPyNumber_Power(r4, r5) r7 = unbox(float, r6) power_overflow = r7 return 1 [case testStrConstantFolding] from typing import Final S: Final = 'z' N: Final = 2 def f() -> None: x = 'foo' + 'bar' y = 'x' + 'y' + S mul = "foobar" * 2 mul2 = N * "foobar" [out] def f(): r0, x, r1, y, r2, mul, r3, mul2 :: str L0: r0 = 'foobar' x = r0 r1 = 'xyz' y = r1 r2 = 'foobarfoobar' mul = r2 r3 = 'foobarfoobar' mul2 = r3 return 1 [case testBytesConstantFolding] from typing import Final N: Final = 2 def f() -> None: # Unfortunately, mypy doesn't store the bytes value of final refs. x = b'foo' + b'bar' mul = b"foobar" * 2 mul2 = N * b"foobar" [out] def f(): r0, x, r1, mul, r2, mul2 :: bytes L0: r0 = b'foobar' x = r0 r1 = b'foobarfoobar' mul = r1 r2 = b'foobarfoobar' mul2 = r2 return 1 [case testComplexConstantFolding] from typing import Final N: Final = 1 FLOAT_N: Final = 1.5 def integral() -> None: pos = 1+2j pos_2 = 2j+N neg = 1-2j neg_2 = 2j-N def floating() -> None: pos = 1.5+2j pos_2 = 2j+FLOAT_N neg = 1.5-2j neg_2 = 2j-FLOAT_N [out] def integral(): r0, pos, r1, pos_2, r2, neg, r3, neg_2 :: object L0: r0 = (1+2j) pos = r0 r1 = (1+2j) pos_2 = r1 r2 = (1-2j) neg = r2 r3 = (-1+2j) neg_2 = r3 return 1 def floating(): r0, pos, r1, pos_2, r2, neg, r3, neg_2 :: object L0: r0 = (1.5+2j) pos = r0 r1 = (1.5+2j) pos_2 = r1 r2 = (1.5-2j) neg = r2 r3 = (-1.5+2j) neg_2 = r3 return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-dict.test0000644000175100017510000002476015112307767020573 0ustar00runnerrunner[case testDictGet] from typing import Dict def f(d: Dict[int, bool]) -> bool: return d[0] [out] def f(d): d :: dict r0, r1 :: object r2 :: bool L0: r0 = object 0 r1 = CPyDict_GetItem(d, r0) r2 = unbox(bool, r1) return r2 [case testDictSet] from typing import Dict def f(d: Dict[int, bool]) -> None: d[0] = False [out] def f(d): d :: dict r0, r1 :: object r2 :: i32 r3 :: bit L0: r0 = object 0 r1 = box(bool, 0) r2 = CPyDict_SetItem(d, r0, r1) r3 = r2 >= 0 :: signed return 1 [case testNewEmptyDict] from typing import Dict def f() -> None: d = {} # type: Dict[bool, int] [out] def f(): r0, d :: dict L0: r0 = PyDict_New() d = r0 return 1 [case testNewEmptyDictViaFunc] from typing import Dict def f() -> None: d: Dict[bool, int] = dict() [out] def f(): r0, d :: dict L0: r0 = PyDict_New() d = r0 return 1 [case testNewDictWithValues] def f(x: object) -> None: d = {1: 2, '': x} [out] def f(x): x :: object r0 :: str r1, r2 :: object r3, d :: dict L0: r0 = '' r1 = object 1 r2 = object 2 r3 = CPyDict_Build(2, r1, r2, r0, x) d = r3 return 1 [case testInDict] from typing import Dict def f(d: Dict[int, int]) -> bool: if 4 in d: return True else: return False [out] def f(d): d :: dict r0 :: object r1 :: i32 r2 :: bit r3 :: bool L0: r0 = object 4 r1 = PyDict_Contains(d, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 L3: unreachable [case testNotInDict] from typing import Dict def f(d: Dict[int, int]) -> bool: if 4 not in d: return True else: return False [out] def f(d): d :: dict r0 :: object r1 :: i32 r2 :: bit r3, r4 :: bool L0: r0 = object 4 r1 = PyDict_Contains(d, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool r4 = r3 ^ 1 if r4 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 L3: unreachable [case testDictUpdate] from typing import Dict def f(a: Dict[int, int], b: Dict[int, int]) -> None: a.update(b) [out] def f(a, b): a, b :: dict r0 :: i32 r1 :: bit L0: r0 = CPyDict_Update(a, b) r1 = r0 >= 0 :: signed return 1 [case testDictKeyLvalue] from typing import Dict def increment(d: Dict[str, int]) -> Dict[str, int]: for k in d: d[k] += 1 return d [out] def increment(d): d :: dict r0 :: short_int r1 :: native_int r2 :: object r3 :: tuple[bool, short_int, object] r4 :: short_int r5 :: bool r6 :: object r7, k :: str r8, r9, r10 :: object r11 :: i32 r12, r13, r14 :: bit L0: r0 = 0 r1 = PyDict_Size(d) r2 = CPyDict_GetKeysIter(d) L1: r3 = CPyDict_NextKey(r2, r0) r4 = r3[1] r0 = r4 r5 = r3[0] if r5 goto L2 else goto L4 :: bool L2: r6 = r3[2] r7 = cast(str, r6) k = r7 r8 = CPyDict_GetItem(d, k) r9 = object 1 r10 = PyNumber_InPlaceAdd(r8, r9) r11 = CPyDict_SetItem(d, k, r10) r12 = r11 >= 0 :: signed L3: r13 = CPyDict_CheckSize(d, r1) goto L1 L4: r14 = CPy_NoErrOccurred() L5: return d [case testDictDisplay] from typing import Dict def f(x: str, y: Dict[str, int]) -> Dict[str, int]: return {x: 2, **y, 'z': 3} [out] def f(x, y): x :: str y :: dict r0 :: str r1 :: object r2 :: dict r3 :: i32 r4 :: bit r5 :: object r6 :: i32 r7 :: bit L0: r0 = 'z' r1 = object 2 r2 = CPyDict_Build(1, x, r1) r3 = CPyDict_UpdateInDisplay(r2, y) r4 = r3 >= 0 :: signed r5 = object 3 r6 = CPyDict_SetItem(r2, r0, r5) r7 = r6 >= 0 :: signed return r2 [case testDictIterationMethods] from typing import Dict, TypedDict, Union class Person(TypedDict): name: str age: int def print_dict_methods(d1: Dict[int, int], d2: Dict[int, int]) -> None: for v in d1.values(): if v in d2: return for k, v in d2.items(): d2[k] += v def union_of_dicts(d: Union[Dict[str, int], Dict[str, str]]) -> None: new = {} for k, v in d.items(): new[k] = int(v) def typeddict(d: Person) -> None: for k, v in d.items(): if k == "name": name = v [typing fixtures/typing-full.pyi] [out] def print_dict_methods(d1, d2): d1, d2 :: dict r0 :: short_int r1 :: native_int r2 :: object r3 :: tuple[bool, short_int, object] r4 :: short_int r5 :: bool r6 :: object r7, v :: int r8 :: object r9 :: i32 r10 :: bit r11 :: bool r12, r13 :: bit r14 :: short_int r15 :: native_int r16 :: object r17 :: tuple[bool, short_int, object, object] r18 :: short_int r19 :: bool r20, r21 :: object r22, r23, k :: int r24, r25, r26, r27, r28 :: object r29 :: i32 r30, r31, r32 :: bit L0: r0 = 0 r1 = PyDict_Size(d1) r2 = CPyDict_GetValuesIter(d1) L1: r3 = CPyDict_NextValue(r2, r0) r4 = r3[1] r0 = r4 r5 = r3[0] if r5 goto L2 else goto L6 :: bool L2: r6 = r3[2] r7 = unbox(int, r6) v = r7 r8 = box(int, v) r9 = PyDict_Contains(d2, r8) r10 = r9 >= 0 :: signed r11 = truncate r9: i32 to builtins.bool if r11 goto L3 else goto L4 :: bool L3: return 1 L4: L5: r12 = CPyDict_CheckSize(d1, r1) goto L1 L6: r13 = CPy_NoErrOccurred() L7: r14 = 0 r15 = PyDict_Size(d2) r16 = CPyDict_GetItemsIter(d2) L8: r17 = CPyDict_NextItem(r16, r14) r18 = r17[1] r14 = r18 r19 = r17[0] if r19 goto L9 else goto L11 :: bool L9: r20 = r17[2] r21 = r17[3] r22 = unbox(int, r20) r23 = unbox(int, r21) k = r22 v = r23 r24 = box(int, k) r25 = CPyDict_GetItem(d2, r24) r26 = box(int, v) r27 = PyNumber_InPlaceAdd(r25, r26) r28 = box(int, k) r29 = CPyDict_SetItem(d2, r28, r27) r30 = r29 >= 0 :: signed L10: r31 = CPyDict_CheckSize(d2, r15) goto L8 L11: r32 = CPy_NoErrOccurred() L12: return 1 def union_of_dicts(d): d, r0, new :: dict r1 :: short_int r2 :: native_int r3 :: object r4 :: tuple[bool, short_int, object, object] r5 :: short_int r6 :: bool r7, r8 :: object r9 :: str r10 :: union[int, str] k :: str v :: union[int, str] r11 :: object r12 :: object[1] r13 :: object_ptr r14 :: object r15 :: int r16 :: object r17 :: i32 r18, r19, r20 :: bit L0: r0 = PyDict_New() new = r0 r1 = 0 r2 = PyDict_Size(d) r3 = CPyDict_GetItemsIter(d) L1: r4 = CPyDict_NextItem(r3, r1) r5 = r4[1] r1 = r5 r6 = r4[0] if r6 goto L2 else goto L4 :: bool L2: r7 = r4[2] r8 = r4[3] r9 = cast(str, r7) r10 = cast(union[int, str], r8) k = r9 v = r10 r11 = load_address PyLong_Type r12 = [v] r13 = load_address r12 r14 = PyObject_Vectorcall(r11, r13, 1, 0) keep_alive v r15 = unbox(int, r14) r16 = box(int, r15) r17 = CPyDict_SetItem(new, k, r16) r18 = r17 >= 0 :: signed L3: r19 = CPyDict_CheckSize(d, r2) goto L1 L4: r20 = CPy_NoErrOccurred() L5: return 1 def typeddict(d): d :: dict r0 :: short_int r1 :: native_int r2 :: object r3 :: tuple[bool, short_int, object, object] r4 :: short_int r5 :: bool r6, r7 :: object r8, k :: str v :: object r9 :: str r10 :: bool name :: object r11, r12 :: bit L0: r0 = 0 r1 = PyDict_Size(d) r2 = CPyDict_GetItemsIter(d) L1: r3 = CPyDict_NextItem(r2, r0) r4 = r3[1] r0 = r4 r5 = r3[0] if r5 goto L2 else goto L6 :: bool L2: r6 = r3[2] r7 = r3[3] r8 = cast(str, r6) k = r8 v = r7 r9 = 'name' r10 = CPyStr_EqualLiteral(k, r9, 4) if r10 goto L3 else goto L4 :: bool L3: name = v L4: L5: r11 = CPyDict_CheckSize(d, r1) goto L1 L6: r12 = CPy_NoErrOccurred() L7: return 1 [case testDictLoadAddress] def f() -> None: x = dict [out] def f(): r0, x :: object L0: r0 = load_address PyDict_Type x = r0 return 1 [case testDictClear] from typing import Dict def f(d: Dict[int, int]) -> None: return d.clear() [out] def f(d): d :: dict r0 :: bit L0: r0 = CPyDict_Clear(d) return 1 [case testDictCopy] from typing import Dict def f(d: Dict[int, int]) -> Dict[int, int]: return d.copy() [out] def f(d): d, r0 :: dict L0: r0 = CPyDict_Copy(d) return r0 [case testDictSetdefault] from typing import Dict def f(d: Dict[object, object]) -> object: return d.setdefault('a', 'b') def f2(d: Dict[object, object], flag: bool) -> object: if flag: return d.setdefault('a', set()) else: return d.setdefault('a', set('b')) def f3(d: Dict[object, object], flag: bool) -> object: if flag: return d.setdefault('a', []) else: return d.setdefault('a', [1]) def f4(d: Dict[object, object], flag: bool) -> object: if flag: return d.setdefault('a', {}) else: return d.setdefault('a', {'c': 1}) [out] def f(d): d :: dict r0, r1 :: str r2 :: object L0: r0 = 'a' r1 = 'b' r2 = CPyDict_SetDefault(d, r0, r1) return r2 def f2(d, flag): d :: dict flag :: bool r0 :: str r1 :: object r2, r3 :: str r4 :: set r5, r6 :: object L0: if flag goto L1 else goto L2 :: bool L1: r0 = 'a' r1 = CPyDict_SetDefaultWithEmptyDatatype(d, r0, 3) return r1 L2: r2 = 'a' r3 = 'b' r4 = PySet_New(r3) r5 = CPyDict_SetDefault(d, r2, r4) return r5 L3: r6 = box(None, 1) return r6 def f3(d, flag): d :: dict flag :: bool r0 :: str r1 :: object r2 :: str r3 :: list r4 :: object r5 :: ptr r6, r7 :: object L0: if flag goto L1 else goto L2 :: bool L1: r0 = 'a' r1 = CPyDict_SetDefaultWithEmptyDatatype(d, r0, 1) return r1 L2: r2 = 'a' r3 = PyList_New(1) r4 = object 1 r5 = list_items r3 buf_init_item r5, 0, r4 keep_alive r3 r6 = CPyDict_SetDefault(d, r2, r3) return r6 L3: r7 = box(None, 1) return r7 def f4(d, flag): d :: dict flag :: bool r0 :: str r1 :: object r2, r3 :: str r4 :: object r5 :: dict r6, r7 :: object L0: if flag goto L1 else goto L2 :: bool L1: r0 = 'a' r1 = CPyDict_SetDefaultWithEmptyDatatype(d, r0, 2) return r1 L2: r2 = 'a' r3 = 'c' r4 = object 1 r5 = CPyDict_Build(1, r3, r4) r6 = CPyDict_SetDefault(d, r2, r5) return r6 L3: r7 = box(None, 1) return r7 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-dunders.test0000644000175100017510000000665115112307767021313 0ustar00runnerrunner# Test cases for (some) dunder methods [case testDundersLen] class C: def __len__(self) -> int: return 2 def f(c: C) -> int: return len(c) [out] def C.__len__(self): self :: __main__.C L0: return 4 def f(c): c :: __main__.C r0 :: int r1 :: bit r2 :: bool L0: r0 = c.__len__() r1 = int_ge r0, 0 if r1 goto L2 else goto L1 :: bool L1: r2 = raise ValueError('__len__() should return >= 0') unreachable L2: return r0 [case testDundersSetItem] class C: def __setitem__(self, key: int, value: int) -> None: pass def f(c: C) -> None: c[3] = 4 [out] def C.__setitem__(self, key, value): self :: __main__.C key, value :: int L0: return 1 def f(c): c :: __main__.C r0 :: None L0: r0 = c.__setitem__(6, 8) return 1 [case testDundersContains] from typing import Any class C: def __contains__(self, x: int) -> bool: return False def f(c: C) -> bool: return 7 in c def g(c: C) -> bool: return 7 not in c class D: def __contains__(self, x: int) -> Any: return 'x' def h(d: D) -> bool: return 7 not in d [out] def C.__contains__(self, x): self :: __main__.C x :: int L0: return 0 def f(c): c :: __main__.C r0 :: bool L0: r0 = c.__contains__(14) return r0 def g(c): c :: __main__.C r0, r1 :: bool L0: r0 = c.__contains__(14) r1 = r0 ^ 1 return r1 def D.__contains__(self, x): self :: __main__.D x :: int r0 :: str L0: r0 = 'x' return r0 def h(d): d :: __main__.D r0 :: object r1 :: i32 r2 :: bit r3, r4 :: bool L0: r0 = d.__contains__(14) r1 = PyObject_IsTrue(r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool r4 = r3 ^ 1 return r4 [case testDundersDelItem] class C: def __delitem__(self, x: int) -> None: pass def f(c: C) -> None: del c[5] [out] def C.__delitem__(self, x): self :: __main__.C x :: int L0: return 1 def f(c): c :: __main__.C r0 :: None L0: r0 = c.__delitem__(10) return 1 [case testDundersUnary] class C: def __neg__(self) -> int: return 1 def __invert__(self) -> int: return 2 def __int__(self) -> int: return 3 def __float__(self) -> float: return 4.0 def __pos__(self) -> int: return 5 def __abs__(self) -> int: return 6 def __bool__(self) -> bool: return False def __complex__(self) -> complex: return 7j def f(c: C) -> None: -c ~c int(c) float(c) +c abs(c) bool(c) complex(c) [out] def C.__neg__(self): self :: __main__.C L0: return 2 def C.__invert__(self): self :: __main__.C L0: return 4 def C.__int__(self): self :: __main__.C L0: return 6 def C.__float__(self): self :: __main__.C L0: return 4.0 def C.__pos__(self): self :: __main__.C L0: return 10 def C.__abs__(self): self :: __main__.C L0: return 12 def C.__bool__(self): self :: __main__.C L0: return 0 def C.__complex__(self): self :: __main__.C r0 :: object L0: r0 = 7j return r0 def f(c): c :: __main__.C r0, r1, r2 :: int r3 :: float r4, r5 :: int r6 :: bool r7 :: object L0: r0 = c.__neg__() r1 = c.__invert__() r2 = c.__int__() r3 = c.__float__() r4 = c.__pos__() r5 = c.__abs__() r6 = c.__bool__() r7 = c.__complex__() return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-float.test0000644000175100017510000002213615112307767020750 0ustar00runnerrunner[case testFloatAdd] def f(x: float, y: float) -> float: return x + y def g(x: float) -> float: z = x - 1.5 return 2.5 * z [out] def f(x, y): x, y, r0 :: float L0: r0 = x + y return r0 def g(x): x, r0, z, r1 :: float L0: r0 = x - 1.5 z = r0 r1 = 2.5 * z return r1 [case testFloatBoxAndUnbox] from typing import Any def f(x: float) -> object: return x def g(x: Any) -> float: return x [out] def f(x): x :: float r0 :: object L0: r0 = box(float, x) return r0 def g(x): x :: object r0 :: float L0: r0 = unbox(float, x) return r0 [case testFloatNegAndPos] def f(x: float) -> float: y = +x * -0.5 return -y [out] def f(x): x, r0, y, r1 :: float L0: r0 = x * -0.5 y = r0 r1 = -y return r1 [case testFloatCoerceFromInt] def from_int(x: int) -> float: return x def from_literal() -> float: return 5 def from_literal_neg() -> float: return -2 [out] def from_int(x): x :: int r0 :: float L0: r0 = CPyFloat_FromTagged(x) return r0 def from_literal(): L0: return 5.0 def from_literal_neg(): L0: return -2.0 [case testConvertBetweenFloatAndInt] def to_int(x: float) -> int: return int(x) def from_int(x: int) -> float: return float(x) [out] def to_int(x): x :: float r0 :: int L0: r0 = CPyTagged_FromFloat(x) return r0 def from_int(x): x :: int r0 :: float L0: r0 = CPyFloat_FromTagged(x) return r0 [case testFloatOperatorAssignment] def f(x: float, y: float) -> float: x += y x -= 5.0 return x [out] def f(x, y): x, y, r0, r1 :: float L0: r0 = x + y x = r0 r1 = x - 5.0 x = r1 return x [case testFloatOperatorAssignmentWithInt] def f(x: float, y: int) -> None: x += y x -= 5 [out] def f(x, y): x :: float y :: int r0, r1, r2 :: float L0: r0 = CPyFloat_FromTagged(y) r1 = x + r0 x = r1 r2 = x - 5.0 x = r2 return 1 [case testFloatComparison] def lt(x: float, y: float) -> bool: return x < y def eq(x: float, y: float) -> bool: return x == y [out] def lt(x, y): x, y :: float r0 :: bit L0: r0 = x < y return r0 def eq(x, y): x, y :: float r0 :: bit L0: r0 = x == y return r0 [case testFloatOpWithLiteralInt] def f(x: float) -> None: y = x * 2 z = 1 - y b = z < 3 c = 0 == z [out] def f(x): x, r0, y, r1, z :: float r2 :: bit b :: bool r3 :: bit c :: bool L0: r0 = x * 2.0 y = r0 r1 = 1.0 - y z = r1 r2 = z < 3.0 b = r2 r3 = 0.0 == z c = r3 return 1 [case testFloatCallFunctionWithLiteralInt] def f(x: float) -> None: pass def g() -> None: f(3) f(-2) [out] def f(x): x :: float L0: return 1 def g(): r0, r1 :: None L0: r0 = f(3.0) r1 = f(-2.0) return 1 [case testFloatAsBool] def f(x: float) -> int: if x: return 2 else: return 5 [out] def f(x): x :: float r0 :: bit L0: r0 = x != 0.0 if r0 goto L1 else goto L2 :: bool L1: return 4 L2: return 10 L3: unreachable [case testCallSqrtViaMathModule] import math def f(x: float) -> float: return math.sqrt(x) [out] def f(x): x, r0 :: float L0: r0 = CPyFloat_Sqrt(x) return r0 [case testFloatFinalConstant] from typing import Final X: Final = 123.0 Y: Final = -1.0 def f() -> float: a = X return a + Y [out] def f(): a, r0 :: float L0: a = 123.0 r0 = a + -1.0 return r0 [case testFloatDefaultArg] def f(x: float = 1.5) -> float: return x [out] def f(x, __bitmap): x :: float __bitmap, r0 :: u32 r1 :: bit L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: x = 1.5 L2: return x [case testFloatMixedOperations] def f(x: float, y: int) -> None: if x < y: z = x + y x -= y z = y + z if y == x: x -= 1 [out] def f(x, y): x :: float y :: int r0 :: float r1 :: bit r2, r3, z, r4, r5, r6, r7, r8 :: float r9 :: bit r10 :: float L0: r0 = CPyFloat_FromTagged(y) r1 = x < r0 if r1 goto L1 else goto L2 :: bool L1: r2 = CPyFloat_FromTagged(y) r3 = x + r2 z = r3 r4 = CPyFloat_FromTagged(y) r5 = x - r4 x = r5 r6 = CPyFloat_FromTagged(y) r7 = r6 + z z = r7 L2: r8 = CPyFloat_FromTagged(y) r9 = r8 == x if r9 goto L3 else goto L4 :: bool L3: r10 = x - 1.0 x = r10 L4: return 1 [case testFloatDivideSimple] def f(x: float, y: float) -> float: z = x / y z = z / 2.0 return z / 3 [out] def f(x, y): x, y :: float r0 :: bit r1 :: bool r2, z, r3, r4 :: float L0: r0 = y == 0.0 if r0 goto L1 else goto L2 :: bool L1: r1 = raise ZeroDivisionError('float division by zero') unreachable L2: r2 = x / y z = r2 r3 = z / 2.0 z = r3 r4 = z / 3.0 return r4 [case testFloatDivideIntOperand] def f(n: int, m: int) -> float: return n / m [out] def f(n, m): n, m :: int r0 :: float L0: r0 = CPyTagged_TrueDivide(n, m) return r0 [case testFloatResultOfIntDivide] def f(f: float, n: int) -> float: x = f / n return n / x [out] def f(f, n): f :: float n :: int r0 :: float r1 :: bit r2 :: bool r3, x, r4 :: float r5 :: bit r6 :: bool r7 :: float L0: r0 = CPyFloat_FromTagged(n) r1 = r0 == 0.0 if r1 goto L1 else goto L2 :: bool L1: r2 = raise ZeroDivisionError('float division by zero') unreachable L2: r3 = f / r0 x = r3 r4 = CPyFloat_FromTagged(n) r5 = x == 0.0 if r5 goto L3 else goto L4 :: bool L3: r6 = raise ZeroDivisionError('float division by zero') unreachable L4: r7 = r4 / x return r7 [case testFloatExplicitConversions] def f(f: float, n: int) -> int: x = float(n) y = float(x) # no-op return int(y) [out] def f(f, n): f :: float n :: int r0, x, y :: float r1 :: int L0: r0 = CPyFloat_FromTagged(n) x = r0 y = x r1 = CPyTagged_FromFloat(y) return r1 [case testFloatModulo] def f(x: float, y: float) -> float: return x % y [out] def f(x, y): x, y :: float r0 :: bit r1 :: bool r2, r3 :: float r4, r5, r6, r7 :: bit r8, r9 :: float L0: r0 = y == 0.0 if r0 goto L1 else goto L2 :: bool L1: r1 = raise ZeroDivisionError('float modulo') unreachable L2: r2 = x % y r3 = r2 r4 = r3 == 0.0 if r4 goto L5 else goto L3 :: bool L3: r5 = x < 0.0 r6 = y < 0.0 r7 = r5 == r6 if r7 goto L6 else goto L4 :: bool L4: r8 = r3 + y r3 = r8 goto L6 L5: r9 = copysign(0.0, y) r3 = r9 L6: return r3 [case testFloatFloorDivide] def f(x: float, y: float) -> float: return x // y def g(x: float, y: int) -> float: return x // y [out] def f(x, y): x, y, r0 :: float L0: r0 = CPyFloat_FloorDivide(x, y) return r0 def g(x, y): x :: float y :: int r0, r1 :: float L0: r0 = CPyFloat_FromTagged(y) r1 = CPyFloat_FloorDivide(x, r0) return r1 [case testFloatNarrowToIntDisallowed] class C: x: float def narrow_local(x: float, n: int) -> int: x = n # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") return x def narrow_tuple_lvalue(x: float, y: float, n: int) -> int: x, y = 1.0, n # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") return y def narrow_multiple_lvalues(x: float, y: float, n: int) -> int: x = a = n # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") a = y = n # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") return x + y def narrow_attribute(c: C, n: int) -> int: c.x = n # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") return c.x def narrow_using_int_literal(x: float) -> int: x = 1 # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") return x def narrow_using_declaration(n: int) -> int: x: float x = n # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") return x [case testFloatInitializeFromInt] def init(n: int) -> None: # These are strictly speaking safe, since these don't narrow, but for consistency with # narrowing assignments, generate errors here x: float = n # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") y: float = 5 # E: Incompatible value representations in assignment (expression has type "int", variable has type "float") [case testFloatCoerceTupleFromIntValues] from __future__ import annotations def f(x: int) -> None: t: tuple[float, float, float] = (x, 2.5, -7) [out] def f(x): x :: int r0 :: tuple[int, float, int] r1 :: int r2 :: float r3, t :: tuple[float, float, float] L0: r0 = (x, 2.5, -14) r1 = r0[0] r2 = CPyFloat_FromTagged(r1) r3 = (r2, 2.5, -7.0) t = r3 return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-frozenset.test0000644000175100017510000000422315112307767021657 0ustar00runnerrunner[case testNewFrozenSet] from typing import FrozenSet def f() -> FrozenSet[int]: return frozenset({1, 2, 3}) [out] def f(): r0 :: set r1 :: object r2 :: i32 r3 :: bit r4 :: object r5 :: i32 r6 :: bit r7 :: object r8 :: i32 r9 :: bit r10 :: frozenset L0: r0 = PySet_New(0) r1 = object 1 r2 = PySet_Add(r0, r1) r3 = r2 >= 0 :: signed r4 = object 2 r5 = PySet_Add(r0, r4) r6 = r5 >= 0 :: signed r7 = object 3 r8 = PySet_Add(r0, r7) r9 = r8 >= 0 :: signed r10 = PyFrozenSet_New(r0) return r10 [case testNewEmptyFrozenSet] from typing import FrozenSet def f1() -> FrozenSet[int]: return frozenset() def f2() -> FrozenSet[int]: return frozenset(()) [out] def f1(): r0 :: frozenset L0: r0 = PyFrozenSet_New(0) return r0 def f2(): r0 :: tuple[] r1 :: object r2 :: frozenset L0: r0 = () r1 = box(tuple[], r0) r2 = PyFrozenSet_New(r1) return r2 [case testNewFrozenSetFromIterable] from typing import FrozenSet, List, TypeVar T = TypeVar("T") def f(l: List[T]) -> FrozenSet[T]: return frozenset(l) [out] def f(l): l :: list r0 :: frozenset L0: r0 = PyFrozenSet_New(l) return r0 [case testFrozenSetSize] from typing import FrozenSet def f() -> int: return len(frozenset((1, 2, 3))) [out] def f(): r0 :: tuple[int, int, int] r1 :: object r2 :: frozenset r3 :: ptr r4 :: native_int r5 :: short_int L0: r0 = (2, 4, 6) r1 = box(tuple[int, int, int], r0) r2 = PyFrozenSet_New(r1) r3 = get_element_ptr r2 used :: PySetObject r4 = load_mem r3 :: native_int* keep_alive r2 r5 = r4 << 1 return r5 [case testFrozenSetContains] from typing import FrozenSet def f() -> bool: x = frozenset((3, 4)) return (5 in x) [out] def f(): r0 :: tuple[int, int] r1 :: object r2, x :: frozenset r3 :: object r4 :: i32 r5 :: bit r6 :: bool L0: r0 = (6, 8) r1 = box(tuple[int, int], r0) r2 = PyFrozenSet_New(r1) x = r2 r3 = object 5 r4 = PySet_Contains(x, r3) r5 = r4 >= 0 :: signed r6 = truncate r4: i32 to builtins.bool return r6 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-generics.test0000644000175100017510000003612415112307767021444 0ustar00runnerrunner[case testGenericFunction] from typing import TypeVar, List T = TypeVar('T') def f(x: T) -> T: return x def g(x: List[T]) -> List[T]: return [x[0]] def h(x: int, y: List[int]) -> None: x = f(x) y = g(y) [out] def f(x): x :: object L0: return x def g(x): x :: list r0 :: object r1 :: list r2 :: ptr L0: r0 = CPyList_GetItemShort(x, 0) r1 = PyList_New(1) r2 = list_items r1 buf_init_item r2, 0, r0 keep_alive r1 return r1 def h(x, y): x :: int y :: list r0, r1 :: object r2 :: int r3 :: list L0: r0 = box(int, x) r1 = f(r0) r2 = unbox(int, r1) x = r2 r3 = g(y) y = r3 return 1 [case testGenericAttrAndTypeApplication] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): x: T def f() -> None: c = C[int]() c.x = 1 2 + c.x [out] def f(): r0, c :: __main__.C r1 :: object r2 :: bool r3 :: object r4, r5 :: int L0: r0 = C() c = r0 r1 = object 1 c.x = r1; r2 = is_error r3 = borrow c.x r4 = unbox(int, r3) r5 = CPyTagged_Add(4, r4) keep_alive c return 1 [case testGenericMethod] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): x: T def __init__(self, x: T) -> None: self.x = x def get(self) -> T: return self.x def set(self, y: T) -> None: self.x = y def f(x: C[int]) -> None: y = x.get() x.set(y + 1) x = C(2) [out] def C.__init__(self, x): self :: __main__.C x :: object r0 :: bool L0: self.x = x; r0 = is_error return 1 def C.get(self): self :: __main__.C r0 :: object L0: r0 = self.x return r0 def C.set(self, y): self :: __main__.C y :: object r0 :: bool L0: self.x = y; r0 = is_error return 1 def f(x): x :: __main__.C r0 :: object r1, y, r2 :: int r3 :: object r4 :: None r5 :: object r6 :: __main__.C L0: r0 = x.get() r1 = unbox(int, r0) y = r1 r2 = CPyTagged_Add(y, 2) r3 = box(int, r2) r4 = x.set(r3) r5 = object 2 r6 = C(r5) x = r6 return 1 [case testMax] from typing import TypeVar T = TypeVar('T') def f(x: T, y: T) -> T: return max(x, y) [out] def f(x, y): x, y, r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4 :: object L0: r0 = PyObject_RichCompare(y, x, 4) r1 = PyObject_IsTrue(r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L2 :: bool L1: r4 = y goto L3 L2: r4 = x L3: return r4 [case testParamSpec] from typing import Callable, ParamSpec P = ParamSpec("P") def execute(func: Callable[P, int], *args: P.args, **kwargs: P.kwargs) -> int: return func(*args, **kwargs) def f(x: int) -> int: return x execute(f, 1) [out] def execute(func, args, kwargs): func :: object args :: tuple kwargs, r0 :: dict r1 :: object r2 :: int L0: r0 = PyDict_Copy(kwargs) r1 = PyObject_Call(func, args, r0) r2 = unbox(int, r1) return r2 def f(x): x :: int L0: return x [case testTypeVarMappingBound] # Dicts are special-cased for efficient iteration. from typing import Dict, TypedDict, TypeVar, Union class TD(TypedDict): foo: int M = TypeVar("M", bound=Dict[str, int]) U = TypeVar("U", bound=Union[Dict[str, int], Dict[str, str]]) T = TypeVar("T", bound=TD) def fn_mapping(m: M) -> None: [x for x in m] [x for x in m.values()] {x for x in m.keys()} {k: v for k, v in m.items()} def fn_union(m: U) -> None: [x for x in m] [x for x in m.values()] {x for x in m.keys()} {k: v for k, v in m.items()} def fn_typeddict(t: T) -> None: [x for x in t] [x for x in t.values()] {x for x in t.keys()} {k: v for k, v in t.items()} [typing fixtures/typing-full.pyi] [out] def fn_mapping(m): m :: dict r0 :: list r1 :: short_int r2 :: native_int r3 :: object r4 :: tuple[bool, short_int, object] r5 :: short_int r6 :: bool r7 :: object r8, x :: str r9 :: i32 r10, r11, r12 :: bit r13 :: list r14 :: short_int r15 :: native_int r16 :: object r17 :: tuple[bool, short_int, object] r18 :: short_int r19 :: bool r20 :: object r21, x_2 :: int r22 :: object r23 :: i32 r24, r25, r26 :: bit r27 :: set r28 :: short_int r29 :: native_int r30 :: object r31 :: tuple[bool, short_int, object] r32 :: short_int r33 :: bool r34 :: object r35, x_3 :: str r36 :: i32 r37, r38, r39 :: bit r40 :: dict r41 :: short_int r42 :: native_int r43 :: object r44 :: tuple[bool, short_int, object, object] r45 :: short_int r46 :: bool r47, r48 :: object r49 :: str r50 :: int k :: str v :: int r51 :: object r52 :: i32 r53, r54, r55 :: bit L0: r0 = PyList_New(0) r1 = 0 r2 = PyDict_Size(m) r3 = CPyDict_GetKeysIter(m) L1: r4 = CPyDict_NextKey(r3, r1) r5 = r4[1] r1 = r5 r6 = r4[0] if r6 goto L2 else goto L4 :: bool L2: r7 = r4[2] r8 = cast(str, r7) x = r8 r9 = PyList_Append(r0, x) r10 = r9 >= 0 :: signed L3: r11 = CPyDict_CheckSize(m, r2) goto L1 L4: r12 = CPy_NoErrOccurred() L5: r13 = PyList_New(0) r14 = 0 r15 = PyDict_Size(m) r16 = CPyDict_GetValuesIter(m) L6: r17 = CPyDict_NextValue(r16, r14) r18 = r17[1] r14 = r18 r19 = r17[0] if r19 goto L7 else goto L9 :: bool L7: r20 = r17[2] r21 = unbox(int, r20) x_2 = r21 r22 = box(int, x_2) r23 = PyList_Append(r13, r22) r24 = r23 >= 0 :: signed L8: r25 = CPyDict_CheckSize(m, r15) goto L6 L9: r26 = CPy_NoErrOccurred() L10: r27 = PySet_New(0) r28 = 0 r29 = PyDict_Size(m) r30 = CPyDict_GetKeysIter(m) L11: r31 = CPyDict_NextKey(r30, r28) r32 = r31[1] r28 = r32 r33 = r31[0] if r33 goto L12 else goto L14 :: bool L12: r34 = r31[2] r35 = cast(str, r34) x_3 = r35 r36 = PySet_Add(r27, x_3) r37 = r36 >= 0 :: signed L13: r38 = CPyDict_CheckSize(m, r29) goto L11 L14: r39 = CPy_NoErrOccurred() L15: r40 = PyDict_New() r41 = 0 r42 = PyDict_Size(m) r43 = CPyDict_GetItemsIter(m) L16: r44 = CPyDict_NextItem(r43, r41) r45 = r44[1] r41 = r45 r46 = r44[0] if r46 goto L17 else goto L19 :: bool L17: r47 = r44[2] r48 = r44[3] r49 = cast(str, r47) r50 = unbox(int, r48) k = r49 v = r50 r51 = box(int, v) r52 = PyDict_SetItem(r40, k, r51) r53 = r52 >= 0 :: signed L18: r54 = CPyDict_CheckSize(m, r42) goto L16 L19: r55 = CPy_NoErrOccurred() L20: return 1 def fn_union(m): m :: dict r0 :: list r1 :: short_int r2 :: native_int r3 :: object r4 :: tuple[bool, short_int, object] r5 :: short_int r6 :: bool r7 :: object r8, x :: str r9 :: i32 r10, r11, r12 :: bit r13 :: list r14 :: short_int r15 :: native_int r16 :: object r17 :: tuple[bool, short_int, object] r18 :: short_int r19 :: bool r20 :: object r21, x_2 :: union[int, str] r22 :: i32 r23, r24, r25 :: bit r26 :: set r27 :: short_int r28 :: native_int r29 :: object r30 :: tuple[bool, short_int, object] r31 :: short_int r32 :: bool r33 :: object r34, x_3 :: str r35 :: i32 r36, r37, r38 :: bit r39 :: dict r40 :: short_int r41 :: native_int r42 :: object r43 :: tuple[bool, short_int, object, object] r44 :: short_int r45 :: bool r46, r47 :: object r48 :: str r49 :: union[int, str] k :: str v :: union[int, str] r50 :: i32 r51, r52, r53 :: bit L0: r0 = PyList_New(0) r1 = 0 r2 = PyDict_Size(m) r3 = CPyDict_GetKeysIter(m) L1: r4 = CPyDict_NextKey(r3, r1) r5 = r4[1] r1 = r5 r6 = r4[0] if r6 goto L2 else goto L4 :: bool L2: r7 = r4[2] r8 = cast(str, r7) x = r8 r9 = PyList_Append(r0, x) r10 = r9 >= 0 :: signed L3: r11 = CPyDict_CheckSize(m, r2) goto L1 L4: r12 = CPy_NoErrOccurred() L5: r13 = PyList_New(0) r14 = 0 r15 = PyDict_Size(m) r16 = CPyDict_GetValuesIter(m) L6: r17 = CPyDict_NextValue(r16, r14) r18 = r17[1] r14 = r18 r19 = r17[0] if r19 goto L7 else goto L9 :: bool L7: r20 = r17[2] r21 = cast(union[int, str], r20) x_2 = r21 r22 = PyList_Append(r13, x_2) r23 = r22 >= 0 :: signed L8: r24 = CPyDict_CheckSize(m, r15) goto L6 L9: r25 = CPy_NoErrOccurred() L10: r26 = PySet_New(0) r27 = 0 r28 = PyDict_Size(m) r29 = CPyDict_GetKeysIter(m) L11: r30 = CPyDict_NextKey(r29, r27) r31 = r30[1] r27 = r31 r32 = r30[0] if r32 goto L12 else goto L14 :: bool L12: r33 = r30[2] r34 = cast(str, r33) x_3 = r34 r35 = PySet_Add(r26, x_3) r36 = r35 >= 0 :: signed L13: r37 = CPyDict_CheckSize(m, r28) goto L11 L14: r38 = CPy_NoErrOccurred() L15: r39 = PyDict_New() r40 = 0 r41 = PyDict_Size(m) r42 = CPyDict_GetItemsIter(m) L16: r43 = CPyDict_NextItem(r42, r40) r44 = r43[1] r40 = r44 r45 = r43[0] if r45 goto L17 else goto L19 :: bool L17: r46 = r43[2] r47 = r43[3] r48 = cast(str, r46) r49 = cast(union[int, str], r47) k = r48 v = r49 r50 = PyDict_SetItem(r39, k, v) r51 = r50 >= 0 :: signed L18: r52 = CPyDict_CheckSize(m, r41) goto L16 L19: r53 = CPy_NoErrOccurred() L20: return 1 def fn_typeddict(t): t :: dict r0 :: list r1 :: short_int r2 :: native_int r3 :: object r4 :: tuple[bool, short_int, object] r5 :: short_int r6 :: bool r7 :: object r8, x :: str r9 :: i32 r10, r11, r12 :: bit r13 :: list r14 :: short_int r15 :: native_int r16 :: object r17 :: tuple[bool, short_int, object] r18 :: short_int r19 :: bool r20, x_2 :: object r21 :: i32 r22, r23, r24 :: bit r25 :: set r26 :: short_int r27 :: native_int r28 :: object r29 :: tuple[bool, short_int, object] r30 :: short_int r31 :: bool r32 :: object r33, x_3 :: str r34 :: i32 r35, r36, r37 :: bit r38 :: dict r39 :: short_int r40 :: native_int r41 :: object r42 :: tuple[bool, short_int, object, object] r43 :: short_int r44 :: bool r45, r46 :: object r47, k :: str v :: object r48 :: i32 r49, r50, r51 :: bit L0: r0 = PyList_New(0) r1 = 0 r2 = PyDict_Size(t) r3 = CPyDict_GetKeysIter(t) L1: r4 = CPyDict_NextKey(r3, r1) r5 = r4[1] r1 = r5 r6 = r4[0] if r6 goto L2 else goto L4 :: bool L2: r7 = r4[2] r8 = cast(str, r7) x = r8 r9 = PyList_Append(r0, x) r10 = r9 >= 0 :: signed L3: r11 = CPyDict_CheckSize(t, r2) goto L1 L4: r12 = CPy_NoErrOccurred() L5: r13 = PyList_New(0) r14 = 0 r15 = PyDict_Size(t) r16 = CPyDict_GetValuesIter(t) L6: r17 = CPyDict_NextValue(r16, r14) r18 = r17[1] r14 = r18 r19 = r17[0] if r19 goto L7 else goto L9 :: bool L7: r20 = r17[2] x_2 = r20 r21 = PyList_Append(r13, x_2) r22 = r21 >= 0 :: signed L8: r23 = CPyDict_CheckSize(t, r15) goto L6 L9: r24 = CPy_NoErrOccurred() L10: r25 = PySet_New(0) r26 = 0 r27 = PyDict_Size(t) r28 = CPyDict_GetKeysIter(t) L11: r29 = CPyDict_NextKey(r28, r26) r30 = r29[1] r26 = r30 r31 = r29[0] if r31 goto L12 else goto L14 :: bool L12: r32 = r29[2] r33 = cast(str, r32) x_3 = r33 r34 = PySet_Add(r25, x_3) r35 = r34 >= 0 :: signed L13: r36 = CPyDict_CheckSize(t, r27) goto L11 L14: r37 = CPy_NoErrOccurred() L15: r38 = PyDict_New() r39 = 0 r40 = PyDict_Size(t) r41 = CPyDict_GetItemsIter(t) L16: r42 = CPyDict_NextItem(r41, r39) r43 = r42[1] r39 = r43 r44 = r42[0] if r44 goto L17 else goto L19 :: bool L17: r45 = r42[2] r46 = r42[3] r47 = cast(str, r45) k = r47 v = r46 r48 = PyDict_SetItem(r38, k, v) r49 = r48 >= 0 :: signed L18: r50 = CPyDict_CheckSize(t, r40) goto L16 L19: r51 = CPy_NoErrOccurred() L20: return 1 [case testParamSpecComponentsAreUsable] from typing import Callable, ParamSpec P = ParamSpec("P") def deco(func: Callable[P, int]) -> Callable[P, int]: def inner(*args: P.args, **kwargs: P.kwargs) -> int: can_listcomp = [x for x in args] can_dictcomp = {k: v for k, v in kwargs.items()} can_iter = list(kwargs) can_use_keys = list(kwargs.keys()) can_use_values = list(kwargs.values()) return func(*args, **kwargs) return inner @deco def f(x: int) -> int: return x f(1) [out] def inner_deco_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_deco_obj.__call__(__mypyc_self__, args, kwargs): __mypyc_self__ :: __main__.inner_deco_obj args :: tuple kwargs :: dict r0 :: __main__.deco_env r1 :: native_int r2 :: list r3 :: native_int r4 :: bit r5, x :: object r6 :: native_int can_listcomp :: list r7 :: dict r8 :: short_int r9 :: native_int r10 :: object r11 :: tuple[bool, short_int, object, object] r12 :: short_int r13 :: bool r14, r15 :: object r16, k :: str v :: object r17 :: i32 r18, r19, r20 :: bit can_dictcomp :: dict r21, can_iter, r22, can_use_keys, r23, can_use_values :: list r24 :: object r25 :: dict r26 :: object r27 :: int L0: r0 = __mypyc_self__.__mypyc_env__ r1 = var_object_size args r2 = PyList_New(r1) r3 = 0 L1: r4 = r3 < r1 :: signed if r4 goto L2 else goto L4 :: bool L2: r5 = CPySequenceTuple_GetItemUnsafe(args, r3) x = r5 CPyList_SetItemUnsafe(r2, r3, x) L3: r6 = r3 + 1 r3 = r6 goto L1 L4: can_listcomp = r2 r7 = PyDict_New() r8 = 0 r9 = PyDict_Size(kwargs) r10 = CPyDict_GetItemsIter(kwargs) L5: r11 = CPyDict_NextItem(r10, r8) r12 = r11[1] r8 = r12 r13 = r11[0] if r13 goto L6 else goto L8 :: bool L6: r14 = r11[2] r15 = r11[3] r16 = cast(str, r14) k = r16 v = r15 r17 = PyDict_SetItem(r7, k, v) r18 = r17 >= 0 :: signed L7: r19 = CPyDict_CheckSize(kwargs, r9) goto L5 L8: r20 = CPy_NoErrOccurred() L9: can_dictcomp = r7 r21 = PySequence_List(kwargs) can_iter = r21 r22 = CPyDict_Keys(kwargs) can_use_keys = r22 r23 = CPyDict_Values(kwargs) can_use_values = r23 r24 = r0.func r25 = PyDict_Copy(kwargs) r26 = PyObject_Call(r24, args, r25) r27 = unbox(int, r26) return r27 def deco(func): func :: object r0 :: __main__.deco_env r1 :: bool r2 :: __main__.inner_deco_obj r3 :: bool inner :: object L0: r0 = deco_env() r0.func = func; r1 = is_error r2 = inner_deco_obj() r2.__mypyc_env__ = r0; r3 = is_error inner = r2 return inner def f(x): x :: int L0: return x ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-glue-methods.test0000644000175100017510000002342615112307767022243 0ustar00runnerrunner# Test cases for glue methods. # # These are used when subclass method signature has a different representation # compared to the base class. [case testSubclassSpecialize2] class A: def foo(self, x: int) -> object: return str(x) class B(A): def foo(self, x: object) -> object: return x class C(B): def foo(self, x: object) -> int: return id(x) def use_a(x: A, y: int) -> object: return x.foo(y) def use_b(x: B, y: object) -> object: return x.foo(y) def use_c(x: C, y: object) -> int: return x.foo(y) [out] def A.foo(self, x): self :: __main__.A x :: int r0 :: str L0: r0 = CPyTagged_Str(x) return r0 def B.foo(self, x): self :: __main__.B x :: object L0: return x def B.foo__A_glue(self, x): self :: __main__.B x :: int r0, r1 :: object L0: r0 = box(int, x) r1 = B.foo(self, r0) return r1 def C.foo(self, x): self :: __main__.C x :: object r0 :: int L0: r0 = CPyTagged_Id(x) return r0 def C.foo__B_glue(self, x): self :: __main__.C x :: object r0 :: int r1 :: object L0: r0 = C.foo(self, x) r1 = box(int, r0) return r1 def C.foo__A_glue(self, x): self :: __main__.C x :: int r0 :: object r1 :: int r2 :: object L0: r0 = box(int, x) r1 = C.foo(self, r0) r2 = box(int, r1) return r2 def use_a(x, y): x :: __main__.A y :: int r0 :: object L0: r0 = x.foo(y) return r0 def use_b(x, y): x :: __main__.B y, r0 :: object L0: r0 = x.foo(y) return r0 def use_c(x, y): x :: __main__.C y :: object r0 :: int L0: r0 = x.foo(y) return r0 [case testPropertyDerivedGen] from typing import Callable class BaseProperty: @property def value(self) -> object: return self._incrementer @property def bad_value(self) -> object: return self._incrementer @property def next(self) -> BaseProperty: return BaseProperty(self._incrementer + 1) def __init__(self, value: int) -> None: self._incrementer = value class DerivedProperty(BaseProperty): @property def value(self) -> int: return self._incrementer @property def bad_value(self) -> object: return self._incrementer @property def next(self) -> DerivedProperty: return DerivedProperty(self._incr_func, self._incr_func(self.value)) def __init__(self, incr_func: Callable[[int], int], value: int) -> None: BaseProperty.__init__(self, value) self._incr_func = incr_func class AgainProperty(DerivedProperty): @property def next(self) -> AgainProperty: return AgainProperty(self._incr_func, self._incr_func(self._incr_func(self.value))) @property def bad_value(self) -> int: return self._incrementer [out] def BaseProperty.value(self): self :: __main__.BaseProperty r0 :: int r1 :: object L0: r0 = self._incrementer r1 = box(int, r0) return r1 def BaseProperty.bad_value(self): self :: __main__.BaseProperty r0 :: int r1 :: object L0: r0 = self._incrementer r1 = box(int, r0) return r1 def BaseProperty.next(self): self :: __main__.BaseProperty r0, r1 :: int r2 :: __main__.BaseProperty L0: r0 = borrow self._incrementer r1 = CPyTagged_Add(r0, 2) keep_alive self r2 = BaseProperty(r1) return r2 def BaseProperty.__init__(self, value): self :: __main__.BaseProperty value :: int L0: self._incrementer = value return 1 def DerivedProperty.value(self): self :: __main__.DerivedProperty r0 :: int L0: r0 = self._incrementer return r0 def DerivedProperty.value__BaseProperty_glue(__mypyc_self__): __mypyc_self__ :: __main__.DerivedProperty r0 :: int r1 :: object L0: r0 = __mypyc_self__.value r1 = box(int, r0) return r1 def DerivedProperty.bad_value(self): self :: __main__.DerivedProperty r0 :: int r1 :: object L0: r0 = self._incrementer r1 = box(int, r0) return r1 def DerivedProperty.next(self): self :: __main__.DerivedProperty r0 :: object r1 :: int r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object r7 :: int r8 :: __main__.DerivedProperty L0: r0 = self._incr_func r1 = self.value r2 = self._incr_func r3 = box(int, r1) r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 r7 = unbox(int, r6) r8 = DerivedProperty(r0, r7) return r8 def DerivedProperty.next__BaseProperty_glue(__mypyc_self__): __mypyc_self__, r0 :: __main__.DerivedProperty L0: r0 = __mypyc_self__.next return r0 def DerivedProperty.__init__(self, incr_func, value): self :: __main__.DerivedProperty incr_func :: object value :: int r0 :: None L0: r0 = BaseProperty.__init__(self, value) self._incr_func = incr_func return 1 def AgainProperty.next(self): self :: __main__.AgainProperty r0 :: object r1 :: int r2, r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object r7 :: int r8, r9 :: object r10 :: object[1] r11 :: object_ptr r12 :: object r13 :: int r14 :: __main__.AgainProperty L0: r0 = self._incr_func r1 = self.value r2 = self._incr_func r3 = box(int, r1) r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(r2, r5, 1, 0) keep_alive r3 r7 = unbox(int, r6) r8 = self._incr_func r9 = box(int, r7) r10 = [r9] r11 = load_address r10 r12 = PyObject_Vectorcall(r8, r11, 1, 0) keep_alive r9 r13 = unbox(int, r12) r14 = AgainProperty(r0, r13) return r14 def AgainProperty.next__DerivedProperty_glue(__mypyc_self__): __mypyc_self__, r0 :: __main__.AgainProperty L0: r0 = __mypyc_self__.next return r0 def AgainProperty.next__BaseProperty_glue(__mypyc_self__): __mypyc_self__, r0 :: __main__.AgainProperty L0: r0 = __mypyc_self__.next return r0 def AgainProperty.bad_value(self): self :: __main__.AgainProperty r0 :: int L0: r0 = self._incrementer return r0 def AgainProperty.bad_value__DerivedProperty_glue(__mypyc_self__): __mypyc_self__ :: __main__.AgainProperty r0 :: int r1 :: object L0: r0 = __mypyc_self__.bad_value r1 = box(int, r0) return r1 def AgainProperty.bad_value__BaseProperty_glue(__mypyc_self__): __mypyc_self__ :: __main__.AgainProperty r0 :: int r1 :: object L0: r0 = __mypyc_self__.bad_value r1 = box(int, r0) return r1 [case testPropertyTraitSubclassing] from mypy_extensions import trait @trait class SubclassedTrait: @property def this(self) -> SubclassedTrait: return self @property def boxed(self) -> object: return 3 class DerivingObject(SubclassedTrait): @property def this(self) -> DerivingObject: return self @property def boxed(self) -> int: return 5 [out] def SubclassedTrait.this(self): self :: __main__.SubclassedTrait L0: return self def SubclassedTrait.boxed(self): self :: __main__.SubclassedTrait r0 :: object L0: r0 = object 3 return r0 def DerivingObject.this(self): self :: __main__.DerivingObject L0: return self def DerivingObject.this__SubclassedTrait_glue(__mypyc_self__): __mypyc_self__, r0 :: __main__.DerivingObject L0: r0 = __mypyc_self__.this return r0 def DerivingObject.boxed(self): self :: __main__.DerivingObject L0: return 10 def DerivingObject.boxed__SubclassedTrait_glue(__mypyc_self__): __mypyc_self__ :: __main__.DerivingObject r0 :: int r1 :: object L0: r0 = __mypyc_self__.boxed r1 = box(int, r0) return r1 [case testI64GlueWithExtraDefaultArg] from mypy_extensions import i64 class C: def f(self) -> None: pass class D(C): def f(self, x: i64 = 44) -> None: pass [out] def C.f(self): self :: __main__.C L0: return 1 def D.f(self, x, __bitmap): self :: __main__.D x :: i64 __bitmap, r0 :: u32 r1 :: bit L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: x = 44 L2: return 1 def D.f__C_glue(self): self :: __main__.D r0 :: None L0: r0 = D.f(self, 0, 0) return r0 [case testI64GlueWithSecondDefaultArg] from mypy_extensions import i64 class C: def f(self, x: i64 = 11) -> None: pass class D(C): def f(self, x: i64 = 12, y: i64 = 13) -> None: pass [out] def C.f(self, x, __bitmap): self :: __main__.C x :: i64 __bitmap, r0 :: u32 r1 :: bit L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: x = 11 L2: return 1 def D.f(self, x, y, __bitmap): self :: __main__.D x, y :: i64 __bitmap, r0 :: u32 r1 :: bit r2 :: u32 r3 :: bit L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: x = 12 L2: r2 = __bitmap & 2 r3 = r2 == 0 if r3 goto L3 else goto L4 :: bool L3: y = 13 L4: return 1 def D.f__C_glue(self, x, __bitmap): self :: __main__.D x :: i64 __bitmap :: u32 r0 :: None L0: r0 = D.f(self, x, 0, __bitmap) return r0 [case testI64GlueWithInvalidOverride] from mypy_extensions import i64 class C: def f(self, x: i64, y: i64 = 5) -> None: pass def ff(self, x: int) -> None: pass class CC(C): def f(self, x: i64 = 12, y: i64 = 5) -> None: pass # Line 7 def ff(self, x: int = 12) -> None: pass class D: def f(self, x: int) -> None: pass class DD(D): def f(self, x: i64) -> None: pass # Line 13 class E: def f(self, x: i64) -> None: pass class EE(E): def f(self, x: int) -> None: pass # Line 18 [out] main:7: error: An argument with type "i64" cannot be given a default value in a method override main:13: error: Incompatible argument type "i64" (base class has type "int") main:18: error: Incompatible argument type "int" (base class has type "i64") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-i16.test0000644000175100017510000002167115112307767020245 0ustar00runnerrunner# Test cases for i16 native ints. Focus on things that are different from i64; no need to # duplicate all i64 test cases here. [case testI16BinaryOp] from mypy_extensions import i16 def add_op(x: i16, y: i16) -> i16: x = y + x y = x + 5 y += x y += 7 x = 5 + y return x def compare(x: i16, y: i16) -> None: a = x == y b = x == -5 c = x < y d = x < -5 e = -5 == x f = -5 < x [out] def add_op(x, y): x, y, r0, r1, r2, r3, r4 :: i16 L0: r0 = y + x x = r0 r1 = x + 5 y = r1 r2 = y + x y = r2 r3 = y + 7 y = r3 r4 = 5 + y x = r4 return x def compare(x, y): x, y :: i16 r0 :: bit a :: bool r1 :: bit b :: bool r2 :: bit c :: bool r3 :: bit d :: bool r4 :: bit e :: bool r5 :: bit f :: bool L0: r0 = x == y a = r0 r1 = x == -5 b = r1 r2 = x < y :: signed c = r2 r3 = x < -5 :: signed d = r3 r4 = -5 == x e = r4 r5 = -5 < x :: signed f = r5 return 1 [case testI16UnaryOp] from mypy_extensions import i16 def unary(x: i16) -> i16: y = -x x = ~y y = +x return y [out] def unary(x): x, r0, y, r1 :: i16 L0: r0 = 0 - x y = r0 r1 = y ^ -1 x = r1 y = x return y [case testI16DivisionByConstant] from mypy_extensions import i16 def div_by_constant(x: i16) -> i16: x = x // 5 x //= 17 return x [out] def div_by_constant(x): x, r0, r1 :: i16 r2, r3, r4 :: bit r5 :: i16 r6 :: bit r7, r8, r9 :: i16 r10, r11, r12 :: bit r13 :: i16 r14 :: bit r15 :: i16 L0: r0 = x / 5 r1 = r0 r2 = x < 0 :: signed r3 = 5 < 0 :: signed r4 = r2 == r3 if r4 goto L3 else goto L1 :: bool L1: r5 = r1 * 5 r6 = r5 == x if r6 goto L3 else goto L2 :: bool L2: r7 = r1 - 1 r1 = r7 L3: x = r1 r8 = x / 17 r9 = r8 r10 = x < 0 :: signed r11 = 17 < 0 :: signed r12 = r10 == r11 if r12 goto L6 else goto L4 :: bool L4: r13 = r9 * 17 r14 = r13 == x if r14 goto L6 else goto L5 :: bool L5: r15 = r9 - 1 r9 = r15 L6: x = r9 return x [case testI16ModByConstant] from mypy_extensions import i16 def mod_by_constant(x: i16) -> i16: x = x % 5 x %= 17 return x [out] def mod_by_constant(x): x, r0, r1 :: i16 r2, r3, r4, r5 :: bit r6, r7, r8 :: i16 r9, r10, r11, r12 :: bit r13 :: i16 L0: r0 = x % 5 r1 = r0 r2 = x < 0 :: signed r3 = 5 < 0 :: signed r4 = r2 == r3 if r4 goto L3 else goto L1 :: bool L1: r5 = r1 == 0 if r5 goto L3 else goto L2 :: bool L2: r6 = r1 + 5 r1 = r6 L3: x = r1 r7 = x % 17 r8 = r7 r9 = x < 0 :: signed r10 = 17 < 0 :: signed r11 = r9 == r10 if r11 goto L6 else goto L4 :: bool L4: r12 = r8 == 0 if r12 goto L6 else goto L5 :: bool L5: r13 = r8 + 17 r8 = r13 L6: x = r8 return x [case testI16DivModByVariable] from mypy_extensions import i16 def divmod(x: i16, y: i16) -> i16: a = x // y return a % y [out] def divmod(x, y): x, y, r0, a, r1 :: i16 L0: r0 = CPyInt16_Divide(x, y) a = r0 r1 = CPyInt16_Remainder(a, y) return r1 [case testI16BinaryOperationWithOutOfRangeOperand] from mypy_extensions import i16 def out_of_range(x: i16) -> None: x + (-32769) (-32770) + x x * 32768 x + 32767 # OK (-32768) + x # OK [out] main:4: error: Value -32769 is out of range for "i16" main:5: error: Value -32770 is out of range for "i16" main:6: error: Value 32768 is out of range for "i16" [case testI16BoxAndUnbox] from typing import Any from mypy_extensions import i16 def f(x: Any) -> Any: y: i16 = x return y [out] def f(x): x :: object r0, y :: i16 r1 :: object L0: r0 = unbox(i16, x) y = r0 r1 = box(i16, y) return r1 [case testI16MixedCompare1] from mypy_extensions import i16 def f(x: int, y: i16) -> bool: return x == y [out] def f(x, y): x :: int y :: i16 r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: i16 r7 :: bit L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 65536 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= -65536 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to i16 r6 = r5 goto L5 L4: CPyInt16_Overflow() unreachable L5: r7 = r6 == y return r7 [case testI16MixedCompare2] from mypy_extensions import i16 def f(x: i16, y: int) -> bool: return x == y [out] def f(x, y): x :: i16 y :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: i16 r7 :: bit L0: r0 = y & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = y < 65536 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = y >= -65536 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = y >> 1 r5 = truncate r4: native_int to i16 r6 = r5 goto L5 L4: CPyInt16_Overflow() unreachable L5: r7 = x == r6 return r7 [case testI16ConvertToInt] from mypy_extensions import i16 def i16_to_int(a: i16) -> int: return a [out] def i16_to_int(a): a :: i16 r0 :: native_int r1 :: int L0: r0 = extend signed a: i16 to native_int r1 = r0 << 1 return r1 [case testI16OperatorAssignmentMixed] from mypy_extensions import i16 def f(a: i16) -> None: x = 0 x += a [out] def f(a): a :: i16 x :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6, r7 :: i16 r8 :: native_int r9 :: int L0: x = 0 r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 65536 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= -65536 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to i16 r6 = r5 goto L5 L4: CPyInt16_Overflow() unreachable L5: r7 = r6 + a r8 = extend signed r7: i16 to native_int r9 = r8 << 1 x = r9 return 1 [case testI16InitializeFromLiteral] from mypy_extensions import i16, i64 def f() -> None: x: i16 = 0 y: i16 = -127 z: i16 = 5 + 7 [out] def f(): x, y, z :: i16 L0: x = 0 y = -127 z = 12 return 1 [case testI16ExplicitConversionFromNativeInt] from mypy_extensions import i64, i32, i16 def from_i16(x: i16) -> i16: return i16(x) def from_i32(x: i32) -> i16: return i16(x) def from_i64(x: i64) -> i16: return i16(x) [out] def from_i16(x): x :: i16 L0: return x def from_i32(x): x :: i32 r0 :: i16 L0: r0 = truncate x: i32 to i16 return r0 def from_i64(x): x :: i64 r0 :: i16 L0: r0 = truncate x: i64 to i16 return r0 [case testI16ExplicitConversionFromInt] from mypy_extensions import i16 def f(x: int) -> i16: return i16(x) [out] def f(x): x :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: i16 L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 65536 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= -65536 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to i16 r6 = r5 goto L5 L4: CPyInt16_Overflow() unreachable L5: return r6 [case testI16ExplicitConversionFromLiteral] from mypy_extensions import i16 def f() -> None: x = i16(0) y = i16(11) z = i16(-3) a = i16(32767) b = i16(32768) # Truncate c = i16(-32768) d = i16(-32769) # Truncate [out] def f(): x, y, z, a, b, c, d :: i16 L0: x = 0 y = 11 z = -3 a = 32767 b = -32768 c = -32768 d = 32767 return 1 [case testI16ExplicitConversionFromVariousTypes] from mypy_extensions import i16 def bool_to_i16(b: bool) -> i16: return i16(b) def str_to_i16(s: str) -> i16: return i16(s) class C: def __int__(self) -> i16: return 5 def instance_to_i16(c: C) -> i16: return i16(c) def float_to_i16(x: float) -> i16: return i16(x) [out] def bool_to_i16(b): b :: bool r0 :: i16 L0: r0 = extend b: builtins.bool to i16 return r0 def str_to_i16(s): s :: str r0 :: object r1 :: i16 L0: r0 = CPyLong_FromStr(s) r1 = unbox(i16, r0) return r1 def C.__int__(self): self :: __main__.C L0: return 5 def instance_to_i16(c): c :: __main__.C r0 :: i16 L0: r0 = c.__int__() return r0 def float_to_i16(x): x :: float r0 :: int r1 :: native_int r2, r3, r4 :: bit r5 :: native_int r6, r7 :: i16 L0: r0 = CPyTagged_FromFloat(x) r1 = r0 & 1 r2 = r1 == 0 if r2 goto L1 else goto L4 :: bool L1: r3 = r0 < 65536 :: signed if r3 goto L2 else goto L4 :: bool L2: r4 = r0 >= -65536 :: signed if r4 goto L3 else goto L4 :: bool L3: r5 = r0 >> 1 r6 = truncate r5: native_int to i16 r7 = r6 goto L5 L4: CPyInt16_Overflow() unreachable L5: return r7 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-i32.test0000644000175100017510000002402015112307767020232 0ustar00runnerrunner# Test cases for i32 native ints. Focus on things that are different from i64; no need to # duplicate all i64 test cases here. [case testI32BinaryOp] from mypy_extensions import i32 def add_op(x: i32, y: i32) -> i32: x = y + x y = x + 5 y += x y += 7 x = 5 + y return x def compare(x: i32, y: i32) -> None: a = x == y b = x == -5 c = x < y d = x < -5 e = -5 == x f = -5 < x [out] def add_op(x, y): x, y, r0, r1, r2, r3, r4 :: i32 L0: r0 = y + x x = r0 r1 = x + 5 y = r1 r2 = y + x y = r2 r3 = y + 7 y = r3 r4 = 5 + y x = r4 return x def compare(x, y): x, y :: i32 r0 :: bit a :: bool r1 :: bit b :: bool r2 :: bit c :: bool r3 :: bit d :: bool r4 :: bit e :: bool r5 :: bit f :: bool L0: r0 = x == y a = r0 r1 = x == -5 b = r1 r2 = x < y :: signed c = r2 r3 = x < -5 :: signed d = r3 r4 = -5 == x e = r4 r5 = -5 < x :: signed f = r5 return 1 [case testI32UnaryOp] from mypy_extensions import i32 def unary(x: i32) -> i32: y = -x x = ~y y = +x return y [out] def unary(x): x, r0, y, r1 :: i32 L0: r0 = 0 - x y = r0 r1 = y ^ -1 x = r1 y = x return y [case testI32DivisionByConstant] from mypy_extensions import i32 def div_by_constant(x: i32) -> i32: x = x // 5 x //= 17 return x [out] def div_by_constant(x): x, r0, r1 :: i32 r2, r3, r4 :: bit r5 :: i32 r6 :: bit r7, r8, r9 :: i32 r10, r11, r12 :: bit r13 :: i32 r14 :: bit r15 :: i32 L0: r0 = x / 5 r1 = r0 r2 = x < 0 :: signed r3 = 5 < 0 :: signed r4 = r2 == r3 if r4 goto L3 else goto L1 :: bool L1: r5 = r1 * 5 r6 = r5 == x if r6 goto L3 else goto L2 :: bool L2: r7 = r1 - 1 r1 = r7 L3: x = r1 r8 = x / 17 r9 = r8 r10 = x < 0 :: signed r11 = 17 < 0 :: signed r12 = r10 == r11 if r12 goto L6 else goto L4 :: bool L4: r13 = r9 * 17 r14 = r13 == x if r14 goto L6 else goto L5 :: bool L5: r15 = r9 - 1 r9 = r15 L6: x = r9 return x [case testI32ModByConstant] from mypy_extensions import i32 def mod_by_constant(x: i32) -> i32: x = x % 5 x %= 17 return x [out] def mod_by_constant(x): x, r0, r1 :: i32 r2, r3, r4, r5 :: bit r6, r7, r8 :: i32 r9, r10, r11, r12 :: bit r13 :: i32 L0: r0 = x % 5 r1 = r0 r2 = x < 0 :: signed r3 = 5 < 0 :: signed r4 = r2 == r3 if r4 goto L3 else goto L1 :: bool L1: r5 = r1 == 0 if r5 goto L3 else goto L2 :: bool L2: r6 = r1 + 5 r1 = r6 L3: x = r1 r7 = x % 17 r8 = r7 r9 = x < 0 :: signed r10 = 17 < 0 :: signed r11 = r9 == r10 if r11 goto L6 else goto L4 :: bool L4: r12 = r8 == 0 if r12 goto L6 else goto L5 :: bool L5: r13 = r8 + 17 r8 = r13 L6: x = r8 return x [case testI32DivModByVariable] from mypy_extensions import i32 def divmod(x: i32, y: i32) -> i32: a = x // y return a % y [out] def divmod(x, y): x, y, r0, a, r1 :: i32 L0: r0 = CPyInt32_Divide(x, y) a = r0 r1 = CPyInt32_Remainder(a, y) return r1 [case testI32BoxAndUnbox] from typing import Any from mypy_extensions import i32 def f(x: Any) -> Any: y: i32 = x return y [out] def f(x): x :: object r0, y :: i32 r1 :: object L0: r0 = unbox(i32, x) y = r0 r1 = box(i32, y) return r1 [case testI32MixedCompare1_64bit] from mypy_extensions import i32 def f(x: int, y: i32) -> bool: return x == y [out] def f(x, y): x :: int y :: i32 r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: i32 r7 :: bit L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 4294967296 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= -4294967296 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to i32 r6 = r5 goto L5 L4: CPyInt32_Overflow() unreachable L5: r7 = r6 == y return r7 [case testI32MixedCompare2_64bit] from mypy_extensions import i32 def f(x: i32, y: int) -> bool: return x == y [out] def f(x, y): x :: i32 y :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: i32 r7 :: bit L0: r0 = y & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = y < 4294967296 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = y >= -4294967296 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = y >> 1 r5 = truncate r4: native_int to i32 r6 = r5 goto L5 L4: CPyInt32_Overflow() unreachable L5: r7 = x == r6 return r7 [case testI32MixedCompare_32bit] from mypy_extensions import i32 def f(x: int, y: i32) -> bool: return x == y [out] def f(x, y): x :: int y :: i32 r0 :: native_int r1 :: bit r2, r3 :: i32 r4 :: ptr r5 :: c_ptr r6 :: i32 r7 :: bit L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = x >> 1 r3 = r2 goto L3 L2: r4 = x ^ 1 r5 = r4 r6 = CPyLong_AsInt32(r5) r3 = r6 keep_alive x L3: r7 = r3 == y return r7 [case testI32ConvertToInt_64bit] from mypy_extensions import i32 def i32_to_int(a: i32) -> int: return a [out] def i32_to_int(a): a :: i32 r0 :: native_int r1 :: int L0: r0 = extend signed a: i32 to native_int r1 = r0 << 1 return r1 [case testI32ConvertToInt_32bit] from mypy_extensions import i32 def i32_to_int(a: i32) -> int: return a [out] def i32_to_int(a): a :: i32 r0, r1 :: bit r2, r3, r4 :: int L0: r0 = a <= 1073741823 :: signed if r0 goto L1 else goto L2 :: bool L1: r1 = a >= -1073741824 :: signed if r1 goto L3 else goto L2 :: bool L2: r2 = CPyTagged_FromSsize_t(a) r3 = r2 goto L4 L3: r4 = a << 1 r3 = r4 L4: return r3 [case testI32OperatorAssignmentMixed_64bit] from mypy_extensions import i32 def f(a: i32) -> None: x = 0 x += a [out] def f(a): a :: i32 x :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6, r7 :: i32 r8 :: native_int r9 :: int L0: x = 0 r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 4294967296 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= -4294967296 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to i32 r6 = r5 goto L5 L4: CPyInt32_Overflow() unreachable L5: r7 = r6 + a r8 = extend signed r7: i32 to native_int r9 = r8 << 1 x = r9 return 1 [case testI32InitializeFromLiteral] from mypy_extensions import i32, i64 def f() -> None: x: i32 = 0 y: i32 = -127 z: i32 = 5 + 7 [out] def f(): x, y, z :: i32 L0: x = 0 y = -127 z = 12 return 1 [case testI32ExplicitConversionFromNativeInt] from mypy_extensions import i64, i32, i16 def from_i16(x: i16) -> i32: return i32(x) def from_i32(x: i32) -> i32: return i32(x) def from_i64(x: i64) -> i32: return i32(x) [out] def from_i16(x): x :: i16 r0 :: i32 L0: r0 = extend signed x: i16 to i32 return r0 def from_i32(x): x :: i32 L0: return x def from_i64(x): x :: i64 r0 :: i32 L0: r0 = truncate x: i64 to i32 return r0 [case testI32ExplicitConversionFromInt_64bit] from mypy_extensions import i32 def f(x: int) -> i32: return i32(x) [out] def f(x): x :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: i32 L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 4294967296 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= -4294967296 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to i32 r6 = r5 goto L5 L4: CPyInt32_Overflow() unreachable L5: return r6 [case testI32ExplicitConversionFromLiteral_64bit] from mypy_extensions import i32 def f() -> None: x = i32(0) y = i32(11) z = i32(-3) a = i32(2**31) [out] def f(): x, y, z, a :: i32 L0: x = 0 y = 11 z = -3 a = -2147483648 return 1 [case testI32ExplicitConversionFromVariousTypes_64bit] from mypy_extensions import i32 def bool_to_i32(b: bool) -> i32: return i32(b) def str_to_i32(s: str) -> i32: return i32(s) class C: def __int__(self) -> i32: return 5 def instance_to_i32(c: C) -> i32: return i32(c) def float_to_i32(x: float) -> i32: return i32(x) [out] def bool_to_i32(b): b :: bool r0 :: i32 L0: r0 = extend b: builtins.bool to i32 return r0 def str_to_i32(s): s :: str r0 :: object r1 :: i32 L0: r0 = CPyLong_FromStr(s) r1 = unbox(i32, r0) return r1 def C.__int__(self): self :: __main__.C L0: return 5 def instance_to_i32(c): c :: __main__.C r0 :: i32 L0: r0 = c.__int__() return r0 def float_to_i32(x): x :: float r0 :: int r1 :: native_int r2, r3, r4 :: bit r5 :: native_int r6, r7 :: i32 L0: r0 = CPyTagged_FromFloat(x) r1 = r0 & 1 r2 = r1 == 0 if r2 goto L1 else goto L4 :: bool L1: r3 = r0 < 4294967296 :: signed if r3 goto L2 else goto L4 :: bool L2: r4 = r0 >= -4294967296 :: signed if r4 goto L3 else goto L4 :: bool L3: r5 = r0 >> 1 r6 = truncate r5: native_int to i32 r7 = r6 goto L5 L4: CPyInt32_Overflow() unreachable L5: return r7 [case testI32ExplicitConversionFromFloat_32bit] from mypy_extensions import i32 def float_to_i32(x: float) -> i32: return i32(x) [out] def float_to_i32(x): x :: float r0 :: int r1 :: native_int r2 :: bit r3, r4 :: i32 r5 :: ptr r6 :: c_ptr r7 :: i32 L0: r0 = CPyTagged_FromFloat(x) r1 = r0 & 1 r2 = r1 == 0 if r2 goto L1 else goto L2 :: bool L1: r3 = r0 >> 1 r4 = r3 goto L3 L2: r5 = r0 ^ 1 r6 = r5 r7 = CPyLong_AsInt32(r6) r4 = r7 keep_alive r0 L3: return r4 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-i64.test0000644000175100017510000010444315112307767020247 0ustar00runnerrunner[case testI64Basics] from mypy_extensions import i64 def f() -> i64: x: i64 = 5 y = x return y [out] def f(): x, y :: i64 L0: x = 5 y = x return y [case testI64Compare] from mypy_extensions import i64 def min(x: i64, y: i64) -> i64: if x < y: return x else: return y def all_comparisons(x: i64) -> int: if x == 2: y = 10 elif 3 != x: y = 11 elif x > 4: y = 12 elif 6 >= x: y = 13 elif x < 5: y = 14 elif 6 <= x: y = 15 else: y = 16 return y [out] def min(x, y): x, y :: i64 r0 :: bit L0: r0 = x < y :: signed if r0 goto L1 else goto L2 :: bool L1: return x L2: return y L3: unreachable def all_comparisons(x): x :: i64 r0 :: bit y :: int r1, r2, r3, r4, r5 :: bit L0: r0 = x == 2 if r0 goto L1 else goto L2 :: bool L1: y = 20 goto L18 L2: r1 = 3 != x if r1 goto L3 else goto L4 :: bool L3: y = 22 goto L17 L4: r2 = x > 4 :: signed if r2 goto L5 else goto L6 :: bool L5: y = 24 goto L16 L6: r3 = 6 >= x :: signed if r3 goto L7 else goto L8 :: bool L7: y = 26 goto L15 L8: r4 = x < 5 :: signed if r4 goto L9 else goto L10 :: bool L9: y = 28 goto L14 L10: r5 = 6 <= x :: signed if r5 goto L11 else goto L12 :: bool L11: y = 30 goto L13 L12: y = 32 L13: L14: L15: L16: L17: L18: return y [case testI64Arithmetic] from mypy_extensions import i64 def f(x: i64, y: i64) -> i64: z = x + y return y - z [out] def f(x, y): x, y, r0, z, r1 :: i64 L0: r0 = x + y z = r0 r1 = y - z return r1 [case testI64Negation] from mypy_extensions import i64 def f() -> i64: i: i64 = -3 return -i [out] def f(): i, r0 :: i64 L0: i = -3 r0 = 0 - i return r0 [case testI64MoreUnaryOps] from mypy_extensions import i64 def unary(x: i64) -> i64: y = ~x x = +y return x [out] def unary(x): x, r0, y :: i64 L0: r0 = x ^ -1 y = r0 x = y return x [case testI64BoxingAndUnboxing] from typing import Any from mypy_extensions import i64 def f(a: Any) -> None: b: i64 = a a = b [out] def f(a): a :: object r0, b :: i64 r1 :: object L0: r0 = unbox(i64, a) b = r0 r1 = box(i64, b) a = r1 return 1 [case testI64ListGetSetItem] from typing import List from mypy_extensions import i64 def get(a: List[i64], i: i64) -> i64: return a[i] def set(a: List[i64], i: i64, x: i64) -> None: a[i] = x [out] def get(a, i): a :: list i :: i64 r0 :: object r1 :: i64 L0: r0 = CPyList_GetItemInt64(a, i) r1 = unbox(i64, r0) return r1 def set(a, i, x): a :: list i, x :: i64 r0 :: object r1 :: bit L0: r0 = box(i64, x) r1 = CPyList_SetItemInt64(a, i, r0) return 1 [case testI64MixedArithmetic] from mypy_extensions import i64 def f() -> i64: a: i64 = 1 b = a + 2 return 3 - b [out] def f(): a, r0, b, r1 :: i64 L0: a = 1 r0 = a + 2 b = r0 r1 = 3 - b return r1 [case testI64MixedComparison] from mypy_extensions import i64 def f(a: i64) -> i64: if a < 3: return 1 elif 3 < a: return 2 return 3 [out] def f(a): a :: i64 r0, r1 :: bit L0: r0 = a < 3 :: signed if r0 goto L1 else goto L2 :: bool L1: return 1 L2: r1 = 3 < a :: signed if r1 goto L3 else goto L4 :: bool L3: return 2 L4: L5: return 3 [case testI64InplaceOperations] from mypy_extensions import i64 def add(a: i64) -> i64: b = a b += 1 a += b return a def others(a: i64, b: i64) -> i64: a -= b a *= b a &= b a |= b a ^= b a <<= b a >>= b return a [out] def add(a): a, b, r0, r1 :: i64 L0: b = a r0 = b + 1 b = r0 r1 = a + b a = r1 return a def others(a, b): a, b, r0, r1, r2, r3, r4, r5, r6 :: i64 L0: r0 = a - b a = r0 r1 = a * b a = r1 r2 = a & b a = r2 r3 = a | b a = r3 r4 = a ^ b a = r4 r5 = a << b a = r5 r6 = a >> b a = r6 return a [case testI64BitwiseOps] from mypy_extensions import i64 def forward(a: i64, b: i64) -> i64: b = a & 1 a = b | 2 b = a ^ 3 a = b << 4 b = a >> 5 return b def reverse(a: i64, b: i64) -> i64: b = 1 & a a = 2 | b b = 3 ^ a a = 4 << b b = 5 >> a return b def unary(a: i64) -> i64: return ~a [out] def forward(a, b): a, b, r0, r1, r2, r3, r4 :: i64 L0: r0 = a & 1 b = r0 r1 = b | 2 a = r1 r2 = a ^ 3 b = r2 r3 = b << 4 a = r3 r4 = a >> 5 b = r4 return b def reverse(a, b): a, b, r0, r1, r2, r3, r4 :: i64 L0: r0 = 1 & a b = r0 r1 = 2 | b a = r1 r2 = 3 ^ a b = r2 r3 = 4 << b a = r3 r4 = 5 >> a b = r4 return b def unary(a): a, r0 :: i64 L0: r0 = a ^ -1 return r0 [case testI64Division] from mypy_extensions import i64 def constant_divisor(x: i64) -> i64: return x // 7 def variable_divisor(x: i64, y: i64) -> i64: return x // y def constant_lhs(x: i64) -> i64: return 27 // x def divide_by_neg_one(x: i64) -> i64: return x // -1 def divide_by_zero(x: i64) -> i64: return x // 0 [out] def constant_divisor(x): x, r0, r1 :: i64 r2, r3, r4 :: bit r5 :: i64 r6 :: bit r7 :: i64 L0: r0 = x / 7 r1 = r0 r2 = x < 0 :: signed r3 = 7 < 0 :: signed r4 = r2 == r3 if r4 goto L3 else goto L1 :: bool L1: r5 = r1 * 7 r6 = r5 == x if r6 goto L3 else goto L2 :: bool L2: r7 = r1 - 1 r1 = r7 L3: return r1 def variable_divisor(x, y): x, y, r0 :: i64 L0: r0 = CPyInt64_Divide(x, y) return r0 def constant_lhs(x): x, r0 :: i64 L0: r0 = CPyInt64_Divide(27, x) return r0 def divide_by_neg_one(x): x, r0 :: i64 L0: r0 = CPyInt64_Divide(x, -1) return r0 def divide_by_zero(x): x, r0 :: i64 L0: r0 = CPyInt64_Divide(x, 0) return r0 [case testI64Mod] from mypy_extensions import i64 def constant_divisor(x: i64) -> i64: return x % 7 def variable_divisor(x: i64, y: i64) -> i64: return x % y def constant_lhs(x: i64) -> i64: return 27 % x def mod_by_zero(x: i64) -> i64: return x % 0 [out] def constant_divisor(x): x, r0, r1 :: i64 r2, r3, r4, r5 :: bit r6 :: i64 L0: r0 = x % 7 r1 = r0 r2 = x < 0 :: signed r3 = 7 < 0 :: signed r4 = r2 == r3 if r4 goto L3 else goto L1 :: bool L1: r5 = r1 == 0 if r5 goto L3 else goto L2 :: bool L2: r6 = r1 + 7 r1 = r6 L3: return r1 def variable_divisor(x, y): x, y, r0 :: i64 L0: r0 = CPyInt64_Remainder(x, y) return r0 def constant_lhs(x): x, r0 :: i64 L0: r0 = CPyInt64_Remainder(27, x) return r0 def mod_by_zero(x): x, r0 :: i64 L0: r0 = CPyInt64_Remainder(x, 0) return r0 [case testI64InPlaceDiv] from mypy_extensions import i64 def by_constant(x: i64) -> i64: x //= 7 return x def by_variable(x: i64, y: i64) -> i64: x //= y return x [out] def by_constant(x): x, r0, r1 :: i64 r2, r3, r4 :: bit r5 :: i64 r6 :: bit r7 :: i64 L0: r0 = x / 7 r1 = r0 r2 = x < 0 :: signed r3 = 7 < 0 :: signed r4 = r2 == r3 if r4 goto L3 else goto L1 :: bool L1: r5 = r1 * 7 r6 = r5 == x if r6 goto L3 else goto L2 :: bool L2: r7 = r1 - 1 r1 = r7 L3: x = r1 return x def by_variable(x, y): x, y, r0 :: i64 L0: r0 = CPyInt64_Divide(x, y) x = r0 return x [case testI64InPlaceMod] from mypy_extensions import i64 def by_constant(x: i64) -> i64: x %= 7 return x def by_variable(x: i64, y: i64) -> i64: x %= y return x [out] def by_constant(x): x, r0, r1 :: i64 r2, r3, r4, r5 :: bit r6 :: i64 L0: r0 = x % 7 r1 = r0 r2 = x < 0 :: signed r3 = 7 < 0 :: signed r4 = r2 == r3 if r4 goto L3 else goto L1 :: bool L1: r5 = r1 == 0 if r5 goto L3 else goto L2 :: bool L2: r6 = r1 + 7 r1 = r6 L3: x = r1 return x def by_variable(x, y): x, y, r0 :: i64 L0: r0 = CPyInt64_Remainder(x, y) x = r0 return x [case testI64ForRange] from mypy_extensions import i64 def g(a: i64) -> None: pass def f(x: i64) -> None: n: i64 # TODO: Infer the type for n in range(x): g(n) [out] def g(a): a :: i64 L0: return 1 def f(x): x, r0, n :: i64 r1 :: bit r2 :: None r3 :: i64 L0: r0 = 0 n = r0 L1: r1 = r0 < x :: signed if r1 goto L2 else goto L4 :: bool L2: r2 = g(n) L3: r3 = r0 + 1 r0 = r3 n = r3 goto L1 L4: return 1 [case testI64ConvertFromInt_64bit] from mypy_extensions import i64 def int_to_i64(a: int) -> i64: return a [out] def int_to_i64(a): a :: int r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6 :: i64 L0: r0 = a & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = a >> 1 r3 = r2 goto L3 L2: r4 = a ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive a L3: return r3 [case testI64ConvertToInt_64bit] from mypy_extensions import i64 def i64_to_int(a: i64) -> int: return a [out] def i64_to_int(a): a :: i64 r0, r1 :: bit r2, r3, r4 :: int L0: r0 = a <= 4611686018427387903 :: signed if r0 goto L1 else goto L2 :: bool L1: r1 = a >= -4611686018427387904 :: signed if r1 goto L3 else goto L2 :: bool L2: r2 = CPyTagged_FromInt64(a) r3 = r2 goto L4 L3: r4 = a << 1 r3 = r4 L4: return r3 [case testI64ConvertToInt_32bit] from mypy_extensions import i64 def i64_to_int(a: i64) -> int: return a [out] def i64_to_int(a): a :: i64 r0, r1 :: bit r2, r3 :: int r4 :: native_int r5 :: int L0: r0 = a <= 1073741823 :: signed if r0 goto L1 else goto L2 :: bool L1: r1 = a >= -1073741824 :: signed if r1 goto L3 else goto L2 :: bool L2: r2 = CPyTagged_FromInt64(a) r3 = r2 goto L4 L3: r4 = truncate a: i64 to native_int r5 = r4 << 1 r3 = r5 L4: return r3 [case testI64Tuple] from typing import Tuple from mypy_extensions import i64 def f(x: i64, y: i64) -> Tuple[i64, i64]: return x, y def g() -> Tuple[i64, i64]: return 1, 2 def h() -> i64: x, y = g() t = g() return x + y + t[0] [out] def f(x, y): x, y :: i64 r0 :: tuple[i64, i64] L0: r0 = (x, y) return r0 def g(): r0 :: tuple[int, int] r1 :: tuple[i64, i64] L0: r0 = (2, 4) r1 = (1, 2) return r1 def h(): r0 :: tuple[i64, i64] r1, x, r2, y :: i64 r3, t :: tuple[i64, i64] r4, r5, r6 :: i64 L0: r0 = g() r1 = r0[0] x = r1 r2 = r0[1] y = r2 r3 = g() t = r3 r4 = x + y r5 = t[0] r6 = r4 + r5 return r6 [case testI64MixWithTagged1_64bit] from mypy_extensions import i64 def f(x: i64, y: int) -> i64: return x + y [out] def f(x, y): x :: i64 y :: int r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6, r7 :: i64 L0: r0 = y & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = y >> 1 r3 = r2 goto L3 L2: r4 = y ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive y L3: r7 = x + r3 return r7 [case testI64MixWithTagged2_64bit] from mypy_extensions import i64 def f(x: int, y: i64) -> i64: return x + y [out] def f(x, y): x :: int y :: i64 r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6, r7 :: i64 L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = x >> 1 r3 = r2 goto L3 L2: r4 = x ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive x L3: r7 = r3 + y return r7 [case testI64MixWithTaggedInPlace1_64bit] from mypy_extensions import i64 def f(y: i64) -> int: x = 0 x += y return x [out] def f(y): y :: i64 x :: int r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6, r7 :: i64 r8, r9 :: bit r10, r11, r12 :: int L0: x = 0 r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = x >> 1 r3 = r2 goto L3 L2: r4 = x ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive x L3: r7 = r3 + y r8 = r7 <= 4611686018427387903 :: signed if r8 goto L4 else goto L5 :: bool L4: r9 = r7 >= -4611686018427387904 :: signed if r9 goto L6 else goto L5 :: bool L5: r10 = CPyTagged_FromInt64(r7) r11 = r10 goto L7 L6: r12 = r7 << 1 r11 = r12 L7: x = r11 return x [case testI64MixWithTaggedInPlace2_64bit] from mypy_extensions import i64 def f(y: int) -> i64: x: i64 = 0 x += y return x [out] def f(y): y :: int x :: i64 r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6, r7 :: i64 L0: x = 0 r0 = y & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = y >> 1 r3 = r2 goto L3 L2: r4 = y ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive y L3: r7 = x + r3 x = r7 return x [case testI64MixedCompare1_64bit] from mypy_extensions import i64 def f(x: int, y: i64) -> bool: return x == y [out] def f(x, y): x :: int y :: i64 r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6 :: i64 r7 :: bit L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = x >> 1 r3 = r2 goto L3 L2: r4 = x ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive x L3: r7 = r3 == y return r7 [case testI64MixedCompare2_64bit] from mypy_extensions import i64 def f(x: i64, y: int) -> bool: return x == y [out] def f(x, y): x :: i64 y :: int r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6 :: i64 r7 :: bit L0: r0 = y & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = y >> 1 r3 = r2 goto L3 L2: r4 = y ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive y L3: r7 = x == r3 return r7 [case testI64MixedCompare_32bit] from mypy_extensions import i64 def f(x: int, y: i64) -> bool: return x == y [out] def f(x, y): x :: int y :: i64 r0 :: native_int r1 :: bit r2, r3, r4 :: i64 r5 :: ptr r6 :: c_ptr r7 :: i64 r8 :: bit L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = extend signed x: builtins.int to i64 r3 = r2 >> 1 r4 = r3 goto L3 L2: r5 = x ^ 1 r6 = r5 r7 = CPyLong_AsInt64(r6) r4 = r7 keep_alive x L3: r8 = r4 == y return r8 [case testI64AsBool] from mypy_extensions import i64 def f(x: i64) -> i64: if x: return 5 elif not x: return 6 return 3 def unary_not(x: i64) -> bool: return not x [out] def f(x): x :: i64 r0, r1 :: bit L0: r0 = x != 0 if r0 goto L1 else goto L2 :: bool L1: return 5 L2: r1 = x != 0 if r1 goto L4 else goto L3 :: bool L3: return 6 L4: L5: return 3 def unary_not(x): x :: i64 r0 :: bit L0: r0 = x == 0 return r0 [case testI64AssignMixed_64bit] from mypy_extensions import i64 def f(x: i64, y: int) -> i64: x = y return x def g(x: i64, y: int) -> int: y = x return y [out] def f(x, y): x :: i64 y :: int r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6 :: i64 L0: r0 = y & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = y >> 1 r3 = r2 goto L3 L2: r4 = y ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive y L3: x = r3 return x def g(x, y): x :: i64 y :: int r0, r1 :: bit r2, r3, r4 :: int L0: r0 = x <= 4611686018427387903 :: signed if r0 goto L1 else goto L2 :: bool L1: r1 = x >= -4611686018427387904 :: signed if r1 goto L3 else goto L2 :: bool L2: r2 = CPyTagged_FromInt64(x) r3 = r2 goto L4 L3: r4 = x << 1 r3 = r4 L4: y = r3 return y [case testBorrowOverI64Arithmetic] from mypy_extensions import i64 def add_simple(c: C) -> i64: return c.x + c.y def inplace_add_simple(c: C) -> None: c.x += c.y def add_borrow(d: D) -> i64: return d.c.x + d.c.y class D: c: C class C: x: i64 y: i64 [out] def add_simple(c): c :: __main__.C r0, r1, r2 :: i64 L0: r0 = c.x r1 = c.y r2 = r0 + r1 return r2 def inplace_add_simple(c): c :: __main__.C r0, r1, r2 :: i64 r3 :: bool L0: r0 = c.x r1 = c.y r2 = r0 + r1 c.x = r2; r3 = is_error return 1 def add_borrow(d): d :: __main__.D r0 :: __main__.C r1 :: i64 r2 :: __main__.C r3, r4 :: i64 L0: r0 = borrow d.c r1 = r0.x r2 = borrow d.c r3 = r2.y r4 = r1 + r3 keep_alive d, d return r4 [case testBorrowOverI64Bitwise] from mypy_extensions import i64 def bitwise_simple(c: C) -> i64: return c.x | c.y def inplace_bitwide_simple(c: C) -> None: c.x &= c.y def bitwise_borrow(d: D) -> i64: return d.c.x ^ d.c.y class D: c: C class C: x: i64 y: i64 [out] def bitwise_simple(c): c :: __main__.C r0, r1, r2 :: i64 L0: r0 = c.x r1 = c.y r2 = r0 | r1 return r2 def inplace_bitwide_simple(c): c :: __main__.C r0, r1, r2 :: i64 r3 :: bool L0: r0 = c.x r1 = c.y r2 = r0 & r1 c.x = r2; r3 = is_error return 1 def bitwise_borrow(d): d :: __main__.D r0 :: __main__.C r1 :: i64 r2 :: __main__.C r3, r4 :: i64 L0: r0 = borrow d.c r1 = r0.x r2 = borrow d.c r3 = r2.y r4 = r1 ^ r3 keep_alive d, d return r4 [case testBorrowOverI64ListGetItem1] from mypy_extensions import i64 def f(n: i64) -> str: a = [C()] return a[n].s class C: s: str [out] def f(n): n :: i64 r0 :: __main__.C r1 :: list r2 :: ptr a :: list r3 :: object r4 :: __main__.C r5 :: str L0: r0 = C() r1 = PyList_New(1) r2 = list_items r1 buf_init_item r2, 0, r0 keep_alive r1 a = r1 r3 = CPyList_GetItemInt64Borrow(a, n) r4 = borrow cast(__main__.C, r3) r5 = r4.s keep_alive a, n, r3 return r5 [case testBorrowOverI64ListGetItem2] from typing import List from mypy_extensions import i64 def f(a: List[i64], n: i64) -> bool: if a[n] == 0: return True return False [out] def f(a, n): a :: list n :: i64 r0 :: object r1 :: i64 r2 :: bit L0: r0 = CPyList_GetItemInt64Borrow(a, n) r1 = unbox(i64, r0) r2 = r1 == 0 keep_alive a, n if r2 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 [case testCoerceShortIntToI64] from mypy_extensions import i64 from typing import List def f(a: List[i64], y: i64) -> bool: if len(a) < y: return True return False def g(a: List[i64], y: i64) -> bool: if y < len(a): return True return False [out] def f(a, y): a :: list y :: i64 r0 :: native_int r1 :: short_int r2 :: i64 r3 :: bit L0: r0 = var_object_size a r1 = r0 << 1 r2 = r1 >> 1 r3 = r2 < y :: signed if r3 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 def g(a, y): a :: list y :: i64 r0 :: native_int r1 :: short_int r2 :: i64 r3 :: bit L0: r0 = var_object_size a r1 = r0 << 1 r2 = r1 >> 1 r3 = y < r2 :: signed if r3 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 [case testMultiplyListByI64_64bit] from mypy_extensions import i64 from typing import List def f(n: i64) -> List[i64]: return [n] * n [out] def f(n): n :: i64 r0 :: list r1 :: object r2 :: ptr r3, r4 :: bit r5, r6, r7 :: int r8 :: list L0: r0 = PyList_New(1) r1 = box(i64, n) r2 = list_items r0 buf_init_item r2, 0, r1 keep_alive r0 r3 = n <= 4611686018427387903 :: signed if r3 goto L1 else goto L2 :: bool L1: r4 = n >= -4611686018427387904 :: signed if r4 goto L3 else goto L2 :: bool L2: r5 = CPyTagged_FromInt64(n) r6 = r5 goto L4 L3: r7 = n << 1 r6 = r7 L4: r8 = CPySequence_Multiply(r0, r6) return r8 [case testShortIntAndI64Op] from mypy_extensions import i64 from typing import List def add_i64(a: List[i64], n: i64) -> i64: return len(a) + n def add_i64_2(a: List[i64], n: i64) -> i64: return n + len(a) def eq_i64(a: List[i64], n: i64) -> bool: if len(a) == n: return True return False def lt_i64(a: List[i64], n: i64) -> bool: if n < len(a): return True return False [out] def add_i64(a, n): a :: list n :: i64 r0 :: native_int r1 :: short_int r2, r3 :: i64 L0: r0 = var_object_size a r1 = r0 << 1 r2 = r1 >> 1 r3 = r2 + n return r3 def add_i64_2(a, n): a :: list n :: i64 r0 :: native_int r1 :: short_int r2, r3 :: i64 L0: r0 = var_object_size a r1 = r0 << 1 r2 = r1 >> 1 r3 = n + r2 return r3 def eq_i64(a, n): a :: list n :: i64 r0 :: native_int r1 :: short_int r2 :: i64 r3 :: bit L0: r0 = var_object_size a r1 = r0 << 1 r2 = r1 >> 1 r3 = r2 == n if r3 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 def lt_i64(a, n): a :: list n :: i64 r0 :: native_int r1 :: short_int r2 :: i64 r3 :: bit L0: r0 = var_object_size a r1 = r0 << 1 r2 = r1 >> 1 r3 = n < r2 :: signed if r3 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 [case testOptionalI64_64bit] from typing import Optional from mypy_extensions import i64 def f(x: Optional[i64]) -> i64: if x is None: return 1 return x [out] def f(x): x :: union[i64, None] r0 :: object r1 :: bit r2 :: i64 L0: r0 = load_address _Py_NoneStruct r1 = x == r0 if r1 goto L1 else goto L2 :: bool L1: return 1 L2: r2 = unbox(i64, x) return r2 [case testI64DefaultValueSingle] from mypy_extensions import i64 def f(x: i64, y: i64 = 0) -> i64: return x + y def g() -> i64: return f(7) + f(8, 9) [out] def f(x, y, __bitmap): x, y :: i64 __bitmap, r0 :: u32 r1 :: bit r2 :: i64 L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: y = 0 L2: r2 = x + y return r2 def g(): r0, r1, r2 :: i64 L0: r0 = f(7, 0, 0) r1 = f(8, 9, 1) r2 = r0 + r1 return r2 [case testI64DefaultValueWithMultipleArgs] from mypy_extensions import i64 def f(a: i64, b: i64 = 1, c: int = 2, d: i64 = 3) -> i64: return 0 def g() -> i64: return f(7) + f(8, 9) + f(1, 2, 3) + f(4, 5, 6, 7) [out] def f(a, b, c, d, __bitmap): a, b :: i64 c :: int d :: i64 __bitmap, r0 :: u32 r1 :: bit r2 :: u32 r3 :: bit L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: b = 1 L2: if is_error(c) goto L3 else goto L4 L3: c = 4 L4: r2 = __bitmap & 2 r3 = r2 == 0 if r3 goto L5 else goto L6 :: bool L5: d = 3 L6: return 0 def g(): r0 :: int r1 :: i64 r2 :: int r3, r4, r5, r6, r7, r8 :: i64 L0: r0 = :: int r1 = f(7, 0, r0, 0, 0) r2 = :: int r3 = f(8, 9, r2, 0, 1) r4 = r1 + r3 r5 = f(1, 2, 6, 0, 1) r6 = r4 + r5 r7 = f(4, 5, 12, 7, 3) r8 = r6 + r7 return r8 [case testI64MethodDefaultValue] from mypy_extensions import i64 class C: def m(self, x: i64 = 5) -> None: pass def f(c: C) -> None: c.m() c.m(6) [out] def C.m(self, x, __bitmap): self :: __main__.C x :: i64 __bitmap, r0 :: u32 r1 :: bit L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: x = 5 L2: return 1 def f(c): c :: __main__.C r0, r1 :: None L0: r0 = c.m(0, 0) r1 = c.m(6, 1) return 1 [case testI64ExplicitConversionFromNativeInt] from mypy_extensions import i64, i32, i16 def from_i16(x: i16) -> i64: return i64(x) def from_i32(x: i32) -> i64: return i64(x) def from_i64(x: i64) -> i64: return i64(x) [out] def from_i16(x): x :: i16 r0 :: i64 L0: r0 = extend signed x: i16 to i64 return r0 def from_i32(x): x :: i32 r0 :: i64 L0: r0 = extend signed x: i32 to i64 return r0 def from_i64(x): x :: i64 L0: return x [case testI64ExplicitConversionFromInt_64bit] from mypy_extensions import i64 def f(x: int) -> i64: return i64(x) [out] def f(x): x :: int r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6 :: i64 L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = x >> 1 r3 = r2 goto L3 L2: r4 = x ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive x L3: return r3 [case testI64ExplicitConversionToInt_64bit] from mypy_extensions import i64 def f(x: i64) -> int: return int(x) [out] def f(x): x :: i64 r0, r1 :: bit r2, r3, r4 :: int L0: r0 = x <= 4611686018427387903 :: signed if r0 goto L1 else goto L2 :: bool L1: r1 = x >= -4611686018427387904 :: signed if r1 goto L3 else goto L2 :: bool L2: r2 = CPyTagged_FromInt64(x) r3 = r2 goto L4 L3: r4 = x << 1 r3 = r4 L4: return r3 [case testI64ExplicitConversionFromLiteral] from mypy_extensions import i64 def f() -> None: x = i64(0) y = i64(11) z = i64(-3) [out] def f(): x, y, z :: i64 L0: x = 0 y = 11 z = -3 return 1 [case testI64ForLoopOverRange] from mypy_extensions import i64 def f() -> None: for x in range(i64(4)): y = x [out] def f(): r0, x :: i64 r1 :: bit y, r2 :: i64 L0: r0 = 0 x = r0 L1: r1 = r0 < 4 :: signed if r1 goto L2 else goto L4 :: bool L2: y = x L3: r2 = r0 + 1 r0 = r2 x = r2 goto L1 L4: return 1 [case testI64ForLoopOverRange2] from mypy_extensions import i64 def f() -> None: for x in range(0, i64(4)): y = x [out] def f(): r0, x :: i64 r1 :: bit y, r2 :: i64 L0: r0 = 0 x = r0 L1: r1 = r0 < 4 :: signed if r1 goto L2 else goto L4 :: bool L2: y = x L3: r2 = r0 + 1 r0 = r2 x = r2 goto L1 L4: return 1 [case testI64MethodDefaultValueOverride] from mypy_extensions import i64 class C: def f(self, x: i64 = 11) -> None: pass class D(C): def f(self, x: i64 = 12) -> None: pass [out] def C.f(self, x, __bitmap): self :: __main__.C x :: i64 __bitmap, r0 :: u32 r1 :: bit L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: x = 11 L2: return 1 def D.f(self, x, __bitmap): self :: __main__.D x :: i64 __bitmap, r0 :: u32 r1 :: bit L0: r0 = __bitmap & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: x = 12 L2: return 1 [case testI64FinalConstants] from typing import Final from mypy_extensions import i64 A: Final = -1 B: Final = -(1 + 3*2) C: Final = 0 D: Final = A - B E: Final[i64] = 1 + 3 def f1() -> i64: return A def f2() -> i64: return A + B def f3() -> i64: return C def f4() -> i64: return D def f5() -> i64: return E [out] def f1(): L0: return -1 def f2(): L0: return -8 def f3(): L0: return 0 def f4(): L0: return 6 def f5(): L0: return 4 [case testI64OperationsWithBools] from mypy_extensions import i64 # TODO: Other mixed operations def add_bool_to_int(n: i64, b: bool) -> i64: return n + b def compare_bool_to_i64(n: i64, b: bool) -> bool: if n == b: return b != n return True [out] def add_bool_to_int(n, b): n :: i64 b :: bool r0, r1 :: i64 L0: r0 = extend b: builtins.bool to i64 r1 = n + r0 return r1 def compare_bool_to_i64(n, b): n :: i64 b :: bool r0 :: i64 r1 :: bit r2 :: i64 r3 :: bit L0: r0 = extend b: builtins.bool to i64 r1 = n == r0 if r1 goto L1 else goto L2 :: bool L1: r2 = extend b: builtins.bool to i64 r3 = r2 != n return r3 L2: return 1 [case testI64Cast_64bit] from typing import cast from mypy_extensions import i64 def cast_object(o: object) -> i64: return cast(i64, o) def cast_int(x: int) -> i64: return cast(i64, x) [out] def cast_object(o): o :: object r0 :: i64 L0: r0 = unbox(i64, o) return r0 def cast_int(x): x :: int r0 :: native_int r1 :: bit r2, r3 :: i64 r4 :: ptr r5 :: c_ptr r6 :: i64 L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = x >> 1 r3 = r2 goto L3 L2: r4 = x ^ 1 r5 = r4 r6 = CPyLong_AsInt64(r5) r3 = r6 keep_alive x L3: return r3 [case testI64Cast_32bit] from typing import cast from mypy_extensions import i64 def cast_int(x: int) -> i64: return cast(i64, x) [out] def cast_int(x): x :: int r0 :: native_int r1 :: bit r2, r3, r4 :: i64 r5 :: ptr r6 :: c_ptr r7 :: i64 L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L2 :: bool L1: r2 = extend signed x: builtins.int to i64 r3 = r2 >> 1 r4 = r3 goto L3 L2: r5 = x ^ 1 r6 = r5 r7 = CPyLong_AsInt64(r6) r4 = r7 keep_alive x L3: return r4 [case testI64ExplicitConversionFromVariousTypes_64bit] from mypy_extensions import i64 def bool_to_i64(b: bool) -> i64: return i64(b) def str_to_i64(s: str) -> i64: return i64(s) def str_to_i64_with_base(s: str) -> i64: return i64(s, 2) class C: def __int__(self) -> i64: return 5 def instance_to_i64(c: C) -> i64: return i64(c) def float_to_i64(x: float) -> i64: return i64(x) [out] def bool_to_i64(b): b :: bool r0 :: i64 L0: r0 = extend b: builtins.bool to i64 return r0 def str_to_i64(s): s :: str r0 :: object r1 :: i64 L0: r0 = CPyLong_FromStr(s) r1 = unbox(i64, r0) return r1 def str_to_i64_with_base(s): s :: str r0 :: object r1 :: i64 L0: r0 = CPyLong_FromStrWithBase(s, 4) r1 = unbox(i64, r0) return r1 def C.__int__(self): self :: __main__.C L0: return 5 def instance_to_i64(c): c :: __main__.C r0 :: i64 L0: r0 = c.__int__() return r0 def float_to_i64(x): x :: float r0 :: int r1 :: native_int r2 :: bit r3, r4 :: i64 r5 :: ptr r6 :: c_ptr r7 :: i64 L0: r0 = CPyTagged_FromFloat(x) r1 = r0 & 1 r2 = r1 == 0 if r2 goto L1 else goto L2 :: bool L1: r3 = r0 >> 1 r4 = r3 goto L3 L2: r5 = r0 ^ 1 r6 = r5 r7 = CPyLong_AsInt64(r6) r4 = r7 keep_alive r0 L3: return r4 [case testI64ExplicitConversionFromFloat_32bit] from mypy_extensions import i64 def float_to_i64(x: float) -> i64: return i64(x) [out] def float_to_i64(x): x :: float r0 :: int r1 :: native_int r2 :: bit r3, r4, r5 :: i64 r6 :: ptr r7 :: c_ptr r8 :: i64 L0: r0 = CPyTagged_FromFloat(x) r1 = r0 & 1 r2 = r1 == 0 if r2 goto L1 else goto L2 :: bool L1: r3 = extend signed r0: builtins.int to i64 r4 = r3 >> 1 r5 = r4 goto L3 L2: r6 = r0 ^ 1 r7 = r6 r8 = CPyLong_AsInt64(r7) r5 = r8 keep_alive r0 L3: return r5 [case testI64ConvertToFloat_64bit] from mypy_extensions import i64 def i64_to_float(x: i64) -> float: return float(x) [out] def i64_to_float(x): x :: i64 r0, r1 :: bit r2, r3, r4 :: int r5 :: float L0: r0 = x <= 4611686018427387903 :: signed if r0 goto L1 else goto L2 :: bool L1: r1 = x >= -4611686018427387904 :: signed if r1 goto L3 else goto L2 :: bool L2: r2 = CPyTagged_FromInt64(x) r3 = r2 goto L4 L3: r4 = x << 1 r3 = r4 L4: r5 = CPyFloat_FromTagged(r3) return r5 [case testI64ConvertToFloat_32bit] from mypy_extensions import i64 def i64_to_float(x: i64) -> float: return float(x) [out] def i64_to_float(x): x :: i64 r0, r1 :: bit r2, r3 :: int r4 :: native_int r5 :: int r6 :: float L0: r0 = x <= 1073741823 :: signed if r0 goto L1 else goto L2 :: bool L1: r1 = x >= -1073741824 :: signed if r1 goto L3 else goto L2 :: bool L2: r2 = CPyTagged_FromInt64(x) r3 = r2 goto L4 L3: r4 = truncate x: i64 to native_int r5 = r4 << 1 r3 = r5 L4: r6 = CPyFloat_FromTagged(r3) return r6 [case testI64IsinstanceNarrowing] from typing import Union from mypy_extensions import i64 class C: a: i64 def narrow1(x: Union[C, i64]) -> i64: if isinstance(x, i64): return x return x.a def narrow2(x: Union[C, i64]) -> i64: if isinstance(x, int): return x return x.a [out] def narrow1(x): x :: union[__main__.C, i64] r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4 :: i64 r5 :: __main__.C r6 :: i64 L0: r0 = load_address PyLong_Type r1 = PyObject_IsInstance(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L2 :: bool L1: r4 = unbox(i64, x) return r4 L2: r5 = borrow cast(__main__.C, x) r6 = r5.a keep_alive x return r6 def narrow2(x): x :: union[__main__.C, i64] r0 :: bit r1 :: i64 r2 :: __main__.C r3 :: i64 L0: r0 = PyLong_Check(x) if r0 goto L1 else goto L2 :: bool L1: r1 = unbox(i64, x) return r1 L2: r2 = borrow cast(__main__.C, x) r3 = r2.a keep_alive x return r3 [case testI64ConvertBetweenTuples_64bit] from __future__ import annotations from mypy_extensions import i64 def f(t: tuple[int, i64, int]) -> None: tt: tuple[int, i64, i64] = t def g(n: int) -> None: t: tuple[i64, i64] = (1, n) [out] def f(t): t :: tuple[int, i64, int] r0 :: int r1 :: i64 r2 :: int r3 :: native_int r4 :: bit r5, r6 :: i64 r7 :: ptr r8 :: c_ptr r9 :: i64 r10, tt :: tuple[int, i64, i64] L0: r0 = t[0] r1 = t[1] r2 = t[2] r3 = r2 & 1 r4 = r3 == 0 if r4 goto L1 else goto L2 :: bool L1: r5 = r2 >> 1 r6 = r5 goto L3 L2: r7 = r2 ^ 1 r8 = r7 r9 = CPyLong_AsInt64(r8) r6 = r9 keep_alive r2 L3: r10 = (r0, r1, r6) tt = r10 return 1 def g(n): n :: int r0 :: tuple[int, int] r1 :: int r2 :: native_int r3 :: bit r4, r5 :: i64 r6 :: ptr r7 :: c_ptr r8 :: i64 r9, t :: tuple[i64, i64] L0: r0 = (2, n) r1 = r0[1] r2 = r1 & 1 r3 = r2 == 0 if r3 goto L1 else goto L2 :: bool L1: r4 = r1 >> 1 r5 = r4 goto L3 L2: r6 = r1 ^ 1 r7 = r6 r8 = CPyLong_AsInt64(r7) r5 = r8 keep_alive r1 L3: r9 = (1, r5) t = r9 return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-int.test0000644000175100017510000000650115112307767020433 0ustar00runnerrunner[case testIntNeq] def f(x: int, y: int) -> bool: return x != y [out] def f(x, y): x, y :: int r0 :: bit L0: r0 = int_ne x, y return r0 [case testShortIntComparisons] def f(x: int) -> int: if x == 3: return 1 elif x != 4: return 2 elif 5 == x: return 3 elif 6 != x: return 4 elif x < 4: return 5 return 6 [out] def f(x): x :: int r0, r1, r2, r3, r4 :: bit L0: r0 = int_eq x, 6 if r0 goto L1 else goto L2 :: bool L1: return 2 L2: r1 = int_ne x, 8 if r1 goto L3 else goto L4 :: bool L3: return 4 L4: r2 = int_eq 10, x if r2 goto L5 else goto L6 :: bool L5: return 6 L6: r3 = int_ne 12, x if r3 goto L7 else goto L8 :: bool L7: return 8 L8: r4 = int_lt x, 8 if r4 goto L9 else goto L10 :: bool L9: return 10 L10: L11: L12: L13: L14: return 12 [case testIntMin] def f(x: int, y: int) -> int: return min(x, y) [out] def f(x, y): x, y :: int r0 :: bit r1 :: int L0: r0 = int_lt y, x if r0 goto L1 else goto L2 :: bool L1: r1 = y goto L3 L2: r1 = x L3: return r1 [case testIntFloorDivideByPowerOfTwo] def divby1(x: int) -> int: return x // 1 def divby2(x: int) -> int: return x // 2 def divby3(x: int) -> int: return x // 3 def divby4(x: int) -> int: return x // 4 def divby8(x: int) -> int: return x // 8 [out] def divby1(x): x, r0 :: int L0: r0 = CPyTagged_FloorDivide(x, 2) return r0 def divby2(x): x, r0 :: int L0: r0 = CPyTagged_Rshift(x, 2) return r0 def divby3(x): x, r0 :: int L0: r0 = CPyTagged_FloorDivide(x, 6) return r0 def divby4(x): x, r0 :: int L0: r0 = CPyTagged_Rshift(x, 4) return r0 def divby8(x): x, r0 :: int L0: r0 = CPyTagged_Rshift(x, 6) return r0 [case testFinalConstantFolding] from typing import Final X: Final = -1 Y: Final = -(1 + 3*2) Z: Final = Y + 1 class C: A: Final = 1 B: Final = -1 def f1() -> int: return X def f2() -> int: return X + Y def f3() -> int: return Z def f4() -> int: return C.A def f5() -> int: return C.B [out] def C.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.C L0: __mypyc_self__.A = 2 __mypyc_self__.B = -2 return 1 def f1(): L0: return -2 def f2(): L0: return -16 def f3(): L0: return -12 def f4(): L0: return 2 def f5(): L0: return -2 [case testConvertIntegralToInt] def bool_to_int(b: bool) -> int: return int(b) def int_to_int(n: int) -> int: return int(n) [out] def bool_to_int(b): b, r0 :: bool r1 :: int L0: r0 = b << 1 r1 = extend r0: builtins.bool to builtins.int return r1 def int_to_int(n): n :: int L0: return n [case testIntUnaryOps] def unary_minus(n: int) -> int: x = -n return x def unary_plus(n: int) -> int: x = +n return x def unary_invert(n: int) -> int: x = ~n return x [out] def unary_minus(n): n, r0, x :: int L0: r0 = CPyTagged_Negate(n) x = r0 return x def unary_plus(n): n, x :: int L0: x = n return x def unary_invert(n): n, r0, x :: int L0: r0 = CPyTagged_Invert(n) x = r0 return x [case testIntBitLength] def f(x: int) -> int: return x.bit_length() [out] def f(x): x, r0 :: int L0: r0 = CPyTagged_BitLength(x) return r0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-isinstance.test0000644000175100017510000000717015112307767022004 0ustar00runnerrunner[case testIsinstanceInt] def is_int(value: object) -> bool: return isinstance(value, int) [out] def is_int(value): value :: object r0 :: bit L0: r0 = PyLong_Check(value) return r0 [case testIsinstanceNotBool1] def is_not_bool(value: object) -> bool: return not isinstance(value, bool) [out] def is_not_bool(value): value :: object r0, r1 :: bit L0: r0 = PyBool_Check(value) r1 = r0 ^ 1 return r1 [case testIsinstanceIntAndNotBool] # This test is to ensure that 'value' doesn't get coerced to int when we are # checking if it's a bool, since an int can never be an instance of a bool def is_not_bool_and_is_int(value: object) -> bool: return isinstance(value, int) and not isinstance(value, bool) [out] def is_not_bool_and_is_int(value): value :: object r0 :: bit r1 :: bool r2, r3 :: bit L0: r0 = PyLong_Check(value) if r0 goto L2 else goto L1 :: bool L1: r1 = r0 goto L3 L2: r2 = PyBool_Check(value) r3 = r2 ^ 1 r1 = r3 L3: return r1 [case testBorrowSpecialCaseWithIsinstance] class C: s: str def g() -> object: pass def f() -> None: x = g() if isinstance(x, C): x.s [out] def g(): r0 :: object L0: r0 = box(None, 1) return r0 def f(): r0, x, r1 :: object r2 :: ptr r3 :: object r4 :: bit r5 :: __main__.C r6 :: str L0: r0 = g() x = r0 r1 = __main__.C :: type r2 = get_element_ptr x ob_type :: PyObject r3 = borrow load_mem r2 :: builtins.object* keep_alive x r4 = r3 == r1 if r4 goto L1 else goto L2 :: bool L1: r5 = borrow cast(__main__.C, x) r6 = r5.s keep_alive x L2: return 1 [case testBytes] from typing import Any def is_bytes(x: Any) -> bool: return isinstance(x, bytes) def is_bytearray(x: Any) -> bool: return isinstance(x, bytearray) [out] def is_bytes(x): x :: object r0 :: bit L0: r0 = PyBytes_Check(x) return r0 def is_bytearray(x): x :: object r0 :: bit L0: r0 = PyByteArray_Check(x) return r0 [case testDict] from typing import Any def is_dict(x: Any) -> bool: return isinstance(x, dict) [out] def is_dict(x): x :: object r0 :: bit L0: r0 = PyDict_Check(x) return r0 [case testFloat] from typing import Any def is_float(x: Any) -> bool: return isinstance(x, float) [out] def is_float(x): x :: object r0 :: bit L0: r0 = PyFloat_Check(x) return r0 [case testSet] from typing import Any def is_set(x: Any) -> bool: return isinstance(x, set) def is_frozenset(x: Any) -> bool: return isinstance(x, frozenset) [out] def is_set(x): x :: object r0 :: bit L0: r0 = PySet_Check(x) return r0 def is_frozenset(x): x :: object r0 :: bit L0: r0 = PyFrozenSet_Check(x) return r0 [case testStr] from typing import Any def is_str(x: Any) -> bool: return isinstance(x, str) [out] def is_str(x): x :: object r0 :: bit L0: r0 = PyUnicode_Check(x) return r0 [case testTuple] from typing import Any def is_tuple(x: Any) -> bool: return isinstance(x, tuple) [out] def is_tuple(x): x :: object r0 :: bit L0: r0 = PyTuple_Check(x) return r0 [case testTupleOfPrimitives] from typing import Any def is_instance(x: Any) -> bool: return isinstance(x, (str, int, bytes)) [out] def is_instance(x): x :: object r0, r1, r2 :: bit r3 :: bool L0: r0 = PyUnicode_Check(x) if r0 goto L3 else goto L1 :: bool L1: r1 = PyLong_Check(x) if r1 goto L3 else goto L2 :: bool L2: r2 = PyBytes_Check(x) if r2 goto L3 else goto L4 :: bool L3: r3 = 1 goto L5 L4: r3 = 0 L5: return r3 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-lists.test0000644000175100017510000004207015112307767021000 0ustar00runnerrunner[case testListGet] from typing import List def f(x: List[int]) -> int: return x[0] [out] def f(x): x :: list r0 :: object r1 :: int L0: r0 = CPyList_GetItemShort(x, 0) r1 = unbox(int, r0) return r1 [case testListOfListGet] from typing import List def f(x: List[List[int]]) -> List[int]: return x[0] [out] def f(x): x :: list r0 :: object r1 :: list L0: r0 = CPyList_GetItemShort(x, 0) r1 = cast(list, r0) return r1 [case testListOfListGet2] from typing import List def f(x: List[List[int]]) -> int: return x[0][1] [out] def f(x): x :: list r0 :: object r1 :: list r2 :: object r3 :: int L0: r0 = CPyList_GetItemShortBorrow(x, 0) r1 = borrow cast(list, r0) r2 = CPyList_GetItemShort(r1, 2) r3 = unbox(int, r2) keep_alive x, r0 return r3 [case testListSet] from typing import List def f(x: List[int]) -> None: x[0] = 1 [out] def f(x): x :: list r0 :: object r1 :: bit L0: r0 = object 1 r1 = CPyList_SetItem(x, 0, r0) return 1 [case testNewListEmpty] from typing import List def f() -> None: x = [] # type: List[int] [out] def f(): r0, x :: list L0: r0 = PyList_New(0) x = r0 return 1 [case testNewListEmptyViaFunc] from typing import List def f() -> None: x: List[int] = list() [out] def f(): r0, x :: list L0: r0 = PyList_New(0) x = r0 return 1 [case testNewListEmptyViaAlias] from typing import List ListAlias = list def f() -> None: x: List[int] = ListAlias() [out] def f(): r0, x :: list L0: r0 = PyList_New(0) x = r0 return 1 [case testNewListTwoItems] from typing import List def f() -> None: x: List[int] = [1, 2] [out] def f(): r0 :: list r1, r2 :: object r3 :: ptr x :: list L0: r0 = PyList_New(2) r1 = object 1 r2 = object 2 r3 = list_items r0 buf_init_item r3, 0, r1 buf_init_item r3, 1, r2 keep_alive r0 x = r0 return 1 [case testNewListTenItems] from typing import List def f() -> None: x: List[str] = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'] [out] def f(): r0, r1, r2, r3, r4, r5, r6, r7, r8, r9 :: str r10, x :: list L0: r0 = 'a' r1 = 'b' r2 = 'c' r3 = 'd' r4 = 'e' r5 = 'f' r6 = 'g' r7 = 'h' r8 = 'i' r9 = 'j' r10 = CPyList_Build(10, r0, r1, r2, r3, r4, r5, r6, r7, r8, r9) x = r10 return 1 [case testListAdd] from typing import List def f(a: List[int], b: List[int]) -> None: c = a + b [out] def f(a, b): a, b, r0, c :: list L0: r0 = PySequence_Concat(a, b) c = r0 return 1 [case testListIAdd] from typing import List, Any def f(a: List[int], b: Any) -> None: a += b [out] def f(a, b): a :: list b :: object r0 :: list L0: r0 = PySequence_InPlaceConcat(a, b) a = r0 return 1 [case testListMultiply] from typing import List def f(a: List[int]) -> None: b = a * 2 b = 3 * [4] [out] def f(a): a, r0, b, r1 :: list r2 :: object r3 :: ptr r4 :: list L0: r0 = CPySequence_Multiply(a, 4) b = r0 r1 = PyList_New(1) r2 = object 4 r3 = list_items r1 buf_init_item r3, 0, r2 keep_alive r1 r4 = CPySequence_RMultiply(6, r1) b = r4 return 1 [case testListIMultiply] from typing import List def f(a: List[int]) -> None: a *= 2 [out] def f(a): a, r0 :: list L0: r0 = CPySequence_InPlaceMultiply(a, 4) a = r0 return 1 [case testListLen] from typing import List def f(a: List[int]) -> int: return len(a) [out] def f(a): a :: list r0 :: native_int r1 :: short_int L0: r0 = var_object_size a r1 = r0 << 1 return r1 [case testListClear] from typing import List def f(l: List[int]) -> None: return l.clear() [out] def f(l): l :: list r0 :: bit L0: r0 = CPyList_Clear(l) return 1 [case testListCopy] from typing import List from typing import Any def f(a: List[Any]) -> List[Any]: return a.copy() [out] def f(a): a, r0 :: list L0: r0 = CPyList_Copy(a) return r0 [case testListAppend] from typing import List def f(a: List[int], x: int) -> None: a.append(x) [out] def f(a, x): a :: list x :: int r0 :: object r1 :: i32 r2 :: bit L0: r0 = box(int, x) r1 = PyList_Append(a, r0) r2 = r1 >= 0 :: signed return 1 [case testIndexLvalue] from typing import List def increment(l: List[int]) -> List[int]: for i in range(len(l)): l[i] += 1 return l [out] def increment(l): l :: list r0 :: native_int r1, r2 :: short_int i :: int r3 :: bit r4, r5, r6 :: object r7 :: bit r8 :: short_int L0: r0 = var_object_size l r1 = r0 << 1 r2 = 0 i = r2 L1: r3 = int_lt r2, r1 if r3 goto L2 else goto L4 :: bool L2: r4 = CPyList_GetItem(l, i) r5 = object 1 r6 = PyNumber_InPlaceAdd(r4, r5) r7 = CPyList_SetItem(l, i, r6) L3: r8 = r2 + 2 r2 = r8 i = r8 goto L1 L4: return l [case testListDisplay] from typing import List def f(x: List[int], y: List[int]) -> List[int]: return [1, 2, *x, *y, 3] [out] def f(x, y): x, y, r0 :: list r1, r2 :: object r3 :: ptr r4, r5, r6 :: object r7 :: i32 r8 :: bit L0: r0 = PyList_New(2) r1 = object 1 r2 = object 2 r3 = list_items r0 buf_init_item r3, 0, r1 buf_init_item r3, 1, r2 keep_alive r0 r4 = CPyList_Extend(r0, x) r5 = CPyList_Extend(r0, y) r6 = object 3 r7 = PyList_Append(r0, r6) r8 = r7 >= 0 :: signed return r0 [case testListIn] from typing import List def f(x: List[int], y: int) -> bool: return y in x [out] def f(x, y): x :: list y :: int r0 :: object r1 :: i32 r2 :: bit r3 :: bool L0: r0 = box(int, y) r1 = PySequence_Contains(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool return r3 [case testListInsert] from typing import List def f(x: List[int], y: int) -> None: x.insert(0, y) [out] def f(x, y): x :: list y :: int r0 :: object r1 :: i32 r2 :: bit L0: r0 = box(int, y) r1 = CPyList_Insert(x, 0, r0) r2 = r1 >= 0 :: signed return 1 [case testListBuiltFromGenerator] from typing import List def f(source: List[int]) -> None: a = list(x + 1 for x in source) b = [x + 1 for x in source] [out] def f(source): source :: list r0 :: native_int r1 :: list r2, r3 :: native_int r4 :: bit r5 :: object r6, x, r7 :: int r8 :: object r9 :: native_int a :: list r10 :: native_int r11 :: list r12, r13 :: native_int r14 :: bit r15 :: object r16, x_2, r17 :: int r18 :: object r19 :: native_int b :: list L0: r0 = var_object_size source r1 = PyList_New(r0) r2 = 0 L1: r3 = var_object_size source r4 = r2 < r3 :: signed if r4 goto L2 else goto L4 :: bool L2: r5 = list_get_item_unsafe source, r2 r6 = unbox(int, r5) x = r6 r7 = CPyTagged_Add(x, 2) r8 = box(int, r7) CPyList_SetItemUnsafe(r1, r2, r8) L3: r9 = r2 + 1 r2 = r9 goto L1 L4: a = r1 r10 = var_object_size source r11 = PyList_New(r10) r12 = 0 L5: r13 = var_object_size source r14 = r12 < r13 :: signed if r14 goto L6 else goto L8 :: bool L6: r15 = list_get_item_unsafe source, r12 r16 = unbox(int, r15) x_2 = r16 r17 = CPyTagged_Add(x_2, 2) r18 = box(int, r17) CPyList_SetItemUnsafe(r11, r12, r18) L7: r19 = r12 + 1 r12 = r19 goto L5 L8: b = r11 return 1 [case testGeneratorNext] from typing import List, Optional def test(x: List[int]) -> None: res = next((i for i in x), None) [out] def test(x): x :: list r0, r1 :: native_int r2 :: bit r3 :: object r4, i :: int r5 :: object r6 :: union[int, None] r7 :: native_int r8 :: object res :: union[int, None] L0: r0 = 0 L1: r1 = var_object_size x r2 = r0 < r1 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = list_get_item_unsafe x, r0 r4 = unbox(int, r3) i = r4 r5 = box(int, i) r6 = r5 goto L5 L3: r7 = r0 + 1 r0 = r7 goto L1 L4: r8 = box(None, 1) r6 = r8 L5: res = r6 return 1 [case testSimplifyListUnion] from typing import List, Union, Optional def narrow(a: Union[List[str], List[bytes], int]) -> int: if isinstance(a, list): return len(a) return a def loop(a: Union[List[str], List[bytes]]) -> None: for x in a: pass def nested_union(a: Union[List[str], List[Optional[str]]]) -> None: for x in a: pass [out] def narrow(a): a :: union[list, int] r0 :: bit r1 :: list r2 :: native_int r3 :: short_int r4 :: int L0: r0 = PyList_Check(a) if r0 goto L1 else goto L2 :: bool L1: r1 = borrow cast(list, a) r2 = var_object_size r1 r3 = r2 << 1 keep_alive a return r3 L2: r4 = unbox(int, a) return r4 def loop(a): a :: list r0, r1 :: native_int r2 :: bit r3 :: object r4, x :: union[str, bytes] r5 :: native_int L0: r0 = 0 L1: r1 = var_object_size a r2 = r0 < r1 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = list_get_item_unsafe a, r0 r4 = cast(union[str, bytes], r3) x = r4 L3: r5 = r0 + 1 r0 = r5 goto L1 L4: return 1 def nested_union(a): a :: list r0, r1 :: native_int r2 :: bit r3 :: object r4, x :: union[str, None] r5 :: native_int L0: r0 = 0 L1: r1 = var_object_size a r2 = r0 < r1 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = list_get_item_unsafe a, r0 r4 = cast(union[str, None], r3) x = r4 L3: r5 = r0 + 1 r0 = r5 goto L1 L4: return 1 [case testSorted] from typing import List, Any def list_sort(a: List[int]) -> None: a.sort() def sort_iterable(a: Any) -> None: sorted(a) [out] def list_sort(a): a :: list r0 :: i32 r1 :: bit L0: r0 = PyList_Sort(a) r1 = r0 >= 0 :: signed return 1 def sort_iterable(a): a :: object r0 :: list L0: r0 = CPySequence_Sort(a) return 1 [case testListBuiltFromStr] def f2(val: str) -> str: return val + "f2" def test() -> None: source = "abc" a = [f2(x) for x in source] [out] def f2(val): val, r0, r1 :: str L0: r0 = 'f2' r1 = PyUnicode_Concat(val, r0) return r1 def test(): r0, source :: str r1 :: native_int r2 :: bit r3 :: list r4 :: native_int r5 :: bit r6, x, r7 :: str r8 :: native_int a :: list L0: r0 = 'abc' source = r0 r1 = CPyStr_Size_size_t(source) r2 = r1 >= 0 :: signed r3 = PyList_New(r1) r4 = 0 L1: r5 = r4 < r1 :: signed if r5 goto L2 else goto L4 :: bool L2: r6 = CPyStr_GetItemUnsafe(source, r4) x = r6 r7 = f2(x) CPyList_SetItemUnsafe(r3, r4, r7) L3: r8 = r4 + 1 r4 = r8 goto L1 L4: a = r3 return 1 [case testListBuiltFromStrExpr] def f2(val: str) -> str: return val + "f2" def test() -> None: a = [f2(x) for x in "abc"] [out] def f2(val): val, r0, r1 :: str L0: r0 = 'f2' r1 = PyUnicode_Concat(val, r0) return r1 def test(): r0 :: str r1 :: list r2 :: native_int r3 :: bit r4, x, r5 :: str r6 :: native_int a :: list L0: r0 = 'abc' r1 = PyList_New(3) r2 = 0 goto L2 L1: r3 = r2 < 3 :: signed if r3 goto L2 else goto L4 :: bool L2: r4 = CPyStr_GetItemUnsafe(r0, r2) x = r4 r5 = f2(x) CPyList_SetItemUnsafe(r1, r2, r5) L3: r6 = r2 + 1 r2 = r6 goto L1 L4: a = r1 return 1 [case testListBuiltFromFinalStr] from typing import Final source: Final = "abc" def f2(val: str) -> str: return val + "f2" def test() -> None: a = [f2(x) for x in source] [out] def f2(val): val, r0, r1 :: str L0: r0 = 'f2' r1 = PyUnicode_Concat(val, r0) return r1 def test(): r0 :: str r1 :: list r2 :: native_int r3 :: bit r4, x, r5 :: str r6 :: native_int a :: list L0: r0 = 'abc' r1 = PyList_New(3) r2 = 0 goto L2 L1: r3 = r2 < 3 :: signed if r3 goto L2 else goto L4 :: bool L2: r4 = CPyStr_GetItemUnsafe(r0, r2) x = r4 r5 = f2(x) CPyList_SetItemUnsafe(r1, r2, r5) L3: r6 = r2 + 1 r2 = r6 goto L1 L4: a = r1 return 1 [case testListBuiltFromBytes_64bit] def f2(val: int) -> int: return val + 2 def test() -> None: source = b"abc" a = [f2(x) for x in source] [out] def f2(val): val, r0 :: int L0: r0 = CPyTagged_Add(val, 4) return r0 def test(): r0, source :: bytes r1 :: native_int r2 :: list r3 :: native_int r4, r5, r6 :: bit r7, r8, r9, r10 :: int r11 :: object r12, x, r13 :: int r14 :: object r15 :: native_int a :: list L0: r0 = b'abc' source = r0 r1 = var_object_size source r2 = PyList_New(r1) r3 = 0 L1: r4 = r3 < r1 :: signed if r4 goto L2 else goto L8 :: bool L2: r5 = r3 <= 4611686018427387903 :: signed if r5 goto L3 else goto L4 :: bool L3: r6 = r3 >= -4611686018427387904 :: signed if r6 goto L5 else goto L4 :: bool L4: r7 = CPyTagged_FromInt64(r3) r8 = r7 goto L6 L5: r9 = r3 << 1 r8 = r9 L6: r10 = CPyBytes_GetItem(source, r8) r11 = box(int, r10) r12 = unbox(int, r11) x = r12 r13 = f2(x) r14 = box(int, r13) CPyList_SetItemUnsafe(r2, r3, r14) L7: r15 = r3 + 1 r3 = r15 goto L1 L8: a = r2 return 1 [case testListBuiltFromBytesExpr_64bit] def f2(val: int) -> int: return val + 2 def test() -> None: a = [f2(x) for x in b"abc"] [out] def f2(val): val, r0 :: int L0: r0 = CPyTagged_Add(val, 4) return r0 def test(): r0 :: bytes r1 :: list r2 :: native_int r3, r4, r5 :: bit r6, r7, r8, r9 :: int r10 :: object r11, x, r12 :: int r13 :: object r14 :: native_int a :: list L0: r0 = b'abc' r1 = PyList_New(3) r2 = 0 goto L2 L1: r3 = r2 < 3 :: signed if r3 goto L2 else goto L8 :: bool L2: r4 = r2 <= 4611686018427387903 :: signed if r4 goto L3 else goto L4 :: bool L3: r5 = r2 >= -4611686018427387904 :: signed if r5 goto L5 else goto L4 :: bool L4: r6 = CPyTagged_FromInt64(r2) r7 = r6 goto L6 L5: r8 = r2 << 1 r7 = r8 L6: r9 = CPyBytes_GetItem(r0, r7) r10 = box(int, r9) r11 = unbox(int, r10) x = r11 r12 = f2(x) r13 = box(int, r12) CPyList_SetItemUnsafe(r1, r2, r13) L7: r14 = r2 + 1 r2 = r14 goto L1 L8: a = r1 return 1 [case testListBuiltFromFinalBytes_64bit] from typing import Final source: Final = b"abc" def f2(val: int) -> int: return val + 2 def test() -> None: a = [f2(x) for x in source] [out] def f2(val): val, r0 :: int L0: r0 = CPyTagged_Add(val, 4) return r0 def test(): r0 :: bytes r1 :: bool r2 :: native_int r3 :: list r4 :: native_int r5, r6, r7 :: bit r8, r9, r10, r11 :: int r12 :: object r13, x, r14 :: int r15 :: object r16 :: native_int a :: list L0: r0 = __main__.source :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "source" was not set') unreachable L2: r2 = var_object_size r0 r3 = PyList_New(r2) r4 = 0 L3: r5 = r4 < r2 :: signed if r5 goto L4 else goto L10 :: bool L4: r6 = r4 <= 4611686018427387903 :: signed if r6 goto L5 else goto L6 :: bool L5: r7 = r4 >= -4611686018427387904 :: signed if r7 goto L7 else goto L6 :: bool L6: r8 = CPyTagged_FromInt64(r4) r9 = r8 goto L8 L7: r10 = r4 << 1 r9 = r10 L8: r11 = CPyBytes_GetItem(r0, r9) r12 = box(int, r11) r13 = unbox(int, r12) x = r13 r14 = f2(x) r15 = box(int, r14) CPyList_SetItemUnsafe(r3, r4, r15) L9: r16 = r4 + 1 r4 = r16 goto L3 L10: a = r3 return 1 [case testListBuiltFromStars] from typing import Final abc: Final = "abc" def test() -> None: a = [str(x) for x in [*abc, *"def", *b"ghi", ("j", "k"), *("l", "m", "n")]] [out] def test(): r0, r1 :: str r2 :: bytes r3, r4 :: str r5 :: tuple[str, str] r6, r7, r8 :: str r9 :: tuple[str, str, str] r10 :: list r11, r12, r13, r14 :: object r15 :: i32 r16 :: bit r17, r18 :: object r19 :: list r20, r21 :: native_int r22 :: bit r23, x :: object r24 :: str r25 :: native_int a :: list L0: r0 = 'abc' r1 = 'def' r2 = b'ghi' r3 = 'j' r4 = 'k' r5 = (r3, r4) r6 = 'l' r7 = 'm' r8 = 'n' r9 = (r6, r7, r8) r10 = PyList_New(0) r11 = CPyList_Extend(r10, r0) r12 = CPyList_Extend(r10, r1) r13 = CPyList_Extend(r10, r2) r14 = box(tuple[str, str], r5) r15 = PyList_Append(r10, r14) r16 = r15 >= 0 :: signed r17 = box(tuple[str, str, str], r9) r18 = CPyList_Extend(r10, r17) r19 = PyList_New(13) r20 = 0 goto L2 L1: r21 = var_object_size r10 r22 = r20 < r21 :: signed if r22 goto L2 else goto L4 :: bool L2: r23 = list_get_item_unsafe r10, r20 x = r23 r24 = PyObject_Str(x) CPyList_SetItemUnsafe(r19, r20, r24) L3: r25 = r20 + 1 r20 = r25 goto L1 L4: a = r19 return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-match.test0000644000175100017510000010742615112307767020745 0ustar00runnerrunner[case testMatchValuePattern_python3_10] def f(): match 123: case 123: print("matched") [out] def f(): r0 :: bit r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7, r8 :: object L0: r0 = int_eq 246, 246 if r0 goto L1 else goto L2 :: bool L1: r1 = 'matched' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 goto L3 L2: L3: r8 = box(None, 1) return r8 [case testMatchOrPattern_python3_10] def f(): match 123: case 123 | 456: print("matched") [out] def f(): r0, r1 :: bit r2 :: str r3 :: object r4 :: str r5 :: object r6 :: object[1] r7 :: object_ptr r8, r9 :: object L0: r0 = int_eq 246, 246 if r0 goto L3 else goto L1 :: bool L1: r1 = int_eq 246, 912 if r1 goto L3 else goto L2 :: bool L2: goto L4 L3: r2 = 'matched' r3 = builtins :: module r4 = 'print' r5 = CPyObject_GetAttr(r3, r4) r6 = [r2] r7 = load_address r6 r8 = PyObject_Vectorcall(r5, r7, 1, 0) keep_alive r2 goto L5 L4: L5: r9 = box(None, 1) return r9 [case testMatchOrPatternManyPatterns_python3_10] def f(): match 1: case 1 | 2 | 3 | 4: print("matched") [out] def f(): r0, r1, r2, r3 :: bit r4 :: str r5 :: object r6 :: str r7 :: object r8 :: object[1] r9 :: object_ptr r10, r11 :: object L0: r0 = int_eq 2, 2 if r0 goto L5 else goto L1 :: bool L1: r1 = int_eq 2, 4 if r1 goto L5 else goto L2 :: bool L2: r2 = int_eq 2, 6 if r2 goto L5 else goto L3 :: bool L3: r3 = int_eq 2, 8 if r3 goto L5 else goto L4 :: bool L4: goto L6 L5: r4 = 'matched' r5 = builtins :: module r6 = 'print' r7 = CPyObject_GetAttr(r5, r6) r8 = [r4] r9 = load_address r8 r10 = PyObject_Vectorcall(r7, r9, 1, 0) keep_alive r4 goto L7 L6: L7: r11 = box(None, 1) return r11 [case testMatchClassPattern_python3_10] def f(): match 123: case int(): print("matched") [out] def f(): r0, r1 :: object r2 :: bool r3 :: str r4 :: object r5 :: str r6 :: object r7 :: object[1] r8 :: object_ptr r9, r10 :: object L0: r0 = load_address PyLong_Type r1 = object 123 r2 = CPy_TypeCheck(r1, r0) if r2 goto L1 else goto L2 :: bool L1: r3 = 'matched' r4 = builtins :: module r5 = 'print' r6 = CPyObject_GetAttr(r4, r5) r7 = [r3] r8 = load_address r7 r9 = PyObject_Vectorcall(r6, r8, 1, 0) keep_alive r3 goto L3 L2: L3: r10 = box(None, 1) return r10 [case testMatchExhaustivePattern_python3_10] def f(): match 123: case _: print("matched") [out] def f(): r0 :: str r1 :: object r2 :: str r3 :: object r4 :: object[1] r5 :: object_ptr r6, r7 :: object L0: L1: r0 = 'matched' r1 = builtins :: module r2 = 'print' r3 = CPyObject_GetAttr(r1, r2) r4 = [r0] r5 = load_address r4 r6 = PyObject_Vectorcall(r3, r5, 1, 0) keep_alive r0 goto L3 L2: L3: r7 = box(None, 1) return r7 [case testMatchMultipleBodies_python3_10] def f(): match 123: case 123: print("matched") case 456: print("no match") [out] def f(): r0 :: bit r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7 :: object r8 :: bit r9 :: str r10 :: object r11 :: str r12 :: object r13 :: object[1] r14 :: object_ptr r15, r16 :: object L0: r0 = int_eq 246, 246 if r0 goto L1 else goto L2 :: bool L1: r1 = 'matched' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 goto L5 L2: r8 = int_eq 246, 912 if r8 goto L3 else goto L4 :: bool L3: r9 = 'no match' r10 = builtins :: module r11 = 'print' r12 = CPyObject_GetAttr(r10, r11) r13 = [r9] r14 = load_address r13 r15 = PyObject_Vectorcall(r12, r14, 1, 0) keep_alive r9 goto L5 L4: L5: r16 = box(None, 1) return r16 [case testMatchMultiBodyAndComplexOr_python3_10] def f(): match 123: case 1: print("here 1") case 2 | 3: print("here 2 | 3") case 123: print("here 123") [out] def f(): r0 :: bit r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7 :: object r8, r9 :: bit r10 :: str r11 :: object r12 :: str r13 :: object r14 :: object[1] r15 :: object_ptr r16 :: object r17 :: bit r18 :: str r19 :: object r20 :: str r21 :: object r22 :: object[1] r23 :: object_ptr r24, r25 :: object L0: r0 = int_eq 246, 2 if r0 goto L1 else goto L2 :: bool L1: r1 = 'here 1' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 goto L9 L2: r8 = int_eq 246, 4 if r8 goto L5 else goto L3 :: bool L3: r9 = int_eq 246, 6 if r9 goto L5 else goto L4 :: bool L4: goto L6 L5: r10 = 'here 2 | 3' r11 = builtins :: module r12 = 'print' r13 = CPyObject_GetAttr(r11, r12) r14 = [r10] r15 = load_address r14 r16 = PyObject_Vectorcall(r13, r15, 1, 0) keep_alive r10 goto L9 L6: r17 = int_eq 246, 246 if r17 goto L7 else goto L8 :: bool L7: r18 = 'here 123' r19 = builtins :: module r20 = 'print' r21 = CPyObject_GetAttr(r19, r20) r22 = [r18] r23 = load_address r22 r24 = PyObject_Vectorcall(r21, r23, 1, 0) keep_alive r18 goto L9 L8: L9: r25 = box(None, 1) return r25 [case testMatchWithGuard_python3_10] def f(): match 123: case 123 if True: print("matched") [out] def f(): r0 :: bit r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7, r8 :: object L0: r0 = int_eq 246, 246 if r0 goto L1 else goto L3 :: bool L1: if 1 goto L2 else goto L3 :: bool L2: r1 = 'matched' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 goto L4 L3: L4: r8 = box(None, 1) return r8 [case testMatchSingleton_python3_10] def f(): match 123: case True: print("value is True") case False: print("value is False") case None: print("value is None") [out] def f(): r0, r1 :: object r2 :: bit r3 :: str r4 :: object r5 :: str r6 :: object r7 :: object[1] r8 :: object_ptr r9, r10, r11 :: object r12 :: bit r13 :: str r14 :: object r15 :: str r16 :: object r17 :: object[1] r18 :: object_ptr r19, r20, r21 :: object r22 :: bit r23 :: str r24 :: object r25 :: str r26 :: object r27 :: object[1] r28 :: object_ptr r29, r30 :: object L0: r0 = object 123 r1 = box(bool, 1) r2 = r0 == r1 if r2 goto L1 else goto L2 :: bool L1: r3 = 'value is True' r4 = builtins :: module r5 = 'print' r6 = CPyObject_GetAttr(r4, r5) r7 = [r3] r8 = load_address r7 r9 = PyObject_Vectorcall(r6, r8, 1, 0) keep_alive r3 goto L7 L2: r10 = object 123 r11 = box(bool, 0) r12 = r10 == r11 if r12 goto L3 else goto L4 :: bool L3: r13 = 'value is False' r14 = builtins :: module r15 = 'print' r16 = CPyObject_GetAttr(r14, r15) r17 = [r13] r18 = load_address r17 r19 = PyObject_Vectorcall(r16, r18, 1, 0) keep_alive r13 goto L7 L4: r20 = load_address _Py_NoneStruct r21 = object 123 r22 = r21 == r20 if r22 goto L5 else goto L6 :: bool L5: r23 = 'value is None' r24 = builtins :: module r25 = 'print' r26 = CPyObject_GetAttr(r24, r25) r27 = [r23] r28 = load_address r27 r29 = PyObject_Vectorcall(r26, r28, 1, 0) keep_alive r23 goto L7 L6: L7: r30 = box(None, 1) return r30 [case testMatchRecursiveOrPattern_python3_10] def f(): match 1: case 1 | int(): print("matched") [out] def f(): r0 :: bit r1, r2 :: object r3 :: bool r4 :: str r5 :: object r6 :: str r7 :: object r8 :: object[1] r9 :: object_ptr r10, r11 :: object L0: r0 = int_eq 2, 2 if r0 goto L3 else goto L1 :: bool L1: r1 = load_address PyLong_Type r2 = object 1 r3 = CPy_TypeCheck(r2, r1) if r3 goto L3 else goto L2 :: bool L2: goto L4 L3: r4 = 'matched' r5 = builtins :: module r6 = 'print' r7 = CPyObject_GetAttr(r5, r6) r8 = [r4] r9 = load_address r8 r10 = PyObject_Vectorcall(r7, r9, 1, 0) keep_alive r4 goto L5 L4: L5: r11 = box(None, 1) return r11 [case testMatchAsPattern_python3_10] def f(): match 123: case 123 as x: print(x) [out] def f(): r0 :: bit r1, x, r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7, r8 :: object L0: r0 = int_eq 246, 246 r1 = object 123 x = r1 if r0 goto L1 else goto L2 :: bool L1: r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [x] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive x goto L3 L2: L3: r8 = box(None, 1) return r8 [case testMatchAsPatternOnOrPattern_python3_10] def f(): match 1: case (1 | 2) as x: print(x) [out] def f(): r0 :: bit r1, x :: object r2 :: bit r3, r4 :: object r5 :: str r6 :: object r7 :: object[1] r8 :: object_ptr r9, r10 :: object L0: r0 = int_eq 2, 2 r1 = object 1 x = r1 if r0 goto L3 else goto L1 :: bool L1: r2 = int_eq 2, 4 r3 = object 2 x = r3 if r2 goto L3 else goto L2 :: bool L2: goto L4 L3: r4 = builtins :: module r5 = 'print' r6 = CPyObject_GetAttr(r4, r5) r7 = [x] r8 = load_address r7 r9 = PyObject_Vectorcall(r6, r8, 1, 0) keep_alive x goto L5 L4: L5: r10 = box(None, 1) return r10 [case testMatchAsPatternOnClassPattern_python3_10] def f(): match 123: case int() as i: print(i) [out] def f(): r0, r1 :: object r2 :: bool r3, i, r4 :: object r5 :: str r6 :: object r7 :: object[1] r8 :: object_ptr r9, r10 :: object L0: r0 = load_address PyLong_Type r1 = object 123 r2 = CPy_TypeCheck(r1, r0) if r2 goto L1 else goto L3 :: bool L1: r3 = object 123 i = r3 L2: r4 = builtins :: module r5 = 'print' r6 = CPyObject_GetAttr(r4, r5) r7 = [i] r8 = load_address r7 r9 = PyObject_Vectorcall(r6, r8, 1, 0) keep_alive i goto L4 L3: L4: r10 = box(None, 1) return r10 [case testMatchClassPatternWithPositionalArgs_python3_10] class Position: __match_args__ = ("x", "y", "z") x: int y: int z: int def f(x) -> None: match x: case Position(1, 2, 3): print("matched") [out] def Position.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.Position r0, r1, r2 :: str r3 :: tuple[str, str, str] L0: r0 = 'x' r1 = 'y' r2 = 'z' r3 = (r0, r1, r2) __mypyc_self__.__match_args__ = r3 return 1 def f(x): x, r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4 :: str r5, r6, r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11 :: str r12, r13, r14 :: object r15 :: i32 r16 :: bit r17 :: bool r18 :: str r19, r20, r21 :: object r22 :: i32 r23 :: bit r24 :: bool r25 :: str r26 :: object r27 :: str r28 :: object r29 :: object[1] r30 :: object_ptr r31 :: object L0: r0 = __main__.Position :: type r1 = PyObject_IsInstance(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L5 :: bool L1: r4 = 'x' r5 = CPyObject_GetAttr(x, r4) r6 = object 1 r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L2 else goto L5 :: bool L2: r11 = 'y' r12 = CPyObject_GetAttr(x, r11) r13 = object 2 r14 = PyObject_RichCompare(r12, r13, 2) r15 = PyObject_IsTrue(r14) r16 = r15 >= 0 :: signed r17 = truncate r15: i32 to builtins.bool if r17 goto L3 else goto L5 :: bool L3: r18 = 'z' r19 = CPyObject_GetAttr(x, r18) r20 = object 3 r21 = PyObject_RichCompare(r19, r20, 2) r22 = PyObject_IsTrue(r21) r23 = r22 >= 0 :: signed r24 = truncate r22: i32 to builtins.bool if r24 goto L4 else goto L5 :: bool L4: r25 = 'matched' r26 = builtins :: module r27 = 'print' r28 = CPyObject_GetAttr(r26, r27) r29 = [r25] r30 = load_address r29 r31 = PyObject_Vectorcall(r28, r30, 1, 0) keep_alive r25 goto L6 L5: L6: return 1 [case testMatchClassPatternWithKeywordPatterns_python3_10] class Position: x: int y: int z: int def f(x): match x: case Position(z=1, y=2, x=3): print("matched") [out] def f(x): x, r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4 :: str r5, r6, r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11 :: str r12, r13, r14 :: object r15 :: i32 r16 :: bit r17 :: bool r18 :: str r19, r20, r21 :: object r22 :: i32 r23 :: bit r24 :: bool r25 :: str r26 :: object r27 :: str r28 :: object r29 :: object[1] r30 :: object_ptr r31, r32 :: object L0: r0 = __main__.Position :: type r1 = PyObject_IsInstance(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L5 :: bool L1: r4 = 'z' r5 = CPyObject_GetAttr(x, r4) r6 = object 1 r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L2 else goto L5 :: bool L2: r11 = 'y' r12 = CPyObject_GetAttr(x, r11) r13 = object 2 r14 = PyObject_RichCompare(r12, r13, 2) r15 = PyObject_IsTrue(r14) r16 = r15 >= 0 :: signed r17 = truncate r15: i32 to builtins.bool if r17 goto L3 else goto L5 :: bool L3: r18 = 'x' r19 = CPyObject_GetAttr(x, r18) r20 = object 3 r21 = PyObject_RichCompare(r19, r20, 2) r22 = PyObject_IsTrue(r21) r23 = r22 >= 0 :: signed r24 = truncate r22: i32 to builtins.bool if r24 goto L4 else goto L5 :: bool L4: r25 = 'matched' r26 = builtins :: module r27 = 'print' r28 = CPyObject_GetAttr(r26, r27) r29 = [r25] r30 = load_address r29 r31 = PyObject_Vectorcall(r28, r30, 1, 0) keep_alive r25 goto L6 L5: L6: r32 = box(None, 1) return r32 [case testMatchClassPatternWithNestedPattern_python3_10] class C: num: int def f(x): match x: case C(num=1 | 2): print("matched") [out] def f(x): x, r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4 :: str r5, r6, r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11, r12 :: object r13 :: i32 r14 :: bit r15 :: bool r16 :: str r17 :: object r18 :: str r19 :: object r20 :: object[1] r21 :: object_ptr r22, r23 :: object L0: r0 = __main__.C :: type r1 = PyObject_IsInstance(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L5 :: bool L1: r4 = 'num' r5 = CPyObject_GetAttr(x, r4) r6 = object 1 r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L4 else goto L2 :: bool L2: r11 = object 2 r12 = PyObject_RichCompare(r5, r11, 2) r13 = PyObject_IsTrue(r12) r14 = r13 >= 0 :: signed r15 = truncate r13: i32 to builtins.bool if r15 goto L4 else goto L3 :: bool L3: goto L5 L4: r16 = 'matched' r17 = builtins :: module r18 = 'print' r19 = CPyObject_GetAttr(r17, r18) r20 = [r16] r21 = load_address r20 r22 = PyObject_Vectorcall(r19, r21, 1, 0) keep_alive r16 goto L6 L5: L6: r23 = box(None, 1) return r23 [case testAsPatternDoesntBleedIntoSubPatterns_python3_10] class C: __match_args__ = ("a", "b") a: int b: int def f(x) -> None: match x: case C(1, 2) as y: print("matched") [out] def C.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.C r0, r1 :: str r2 :: tuple[str, str] L0: r0 = 'a' r1 = 'b' r2 = (r0, r1) __mypyc_self__.__match_args__ = r2 return 1 def f(x): x, r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4, y :: __main__.C r5 :: str r6, r7, r8 :: object r9 :: i32 r10 :: bit r11 :: bool r12 :: str r13, r14, r15 :: object r16 :: i32 r17 :: bit r18 :: bool r19 :: str r20 :: object r21 :: str r22 :: object r23 :: object[1] r24 :: object_ptr r25 :: object L0: r0 = __main__.C :: type r1 = PyObject_IsInstance(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L5 :: bool L1: r4 = cast(__main__.C, x) y = r4 L2: r5 = 'a' r6 = CPyObject_GetAttr(x, r5) r7 = object 1 r8 = PyObject_RichCompare(r6, r7, 2) r9 = PyObject_IsTrue(r8) r10 = r9 >= 0 :: signed r11 = truncate r9: i32 to builtins.bool if r11 goto L3 else goto L5 :: bool L3: r12 = 'b' r13 = CPyObject_GetAttr(x, r12) r14 = object 2 r15 = PyObject_RichCompare(r13, r14, 2) r16 = PyObject_IsTrue(r15) r17 = r16 >= 0 :: signed r18 = truncate r16: i32 to builtins.bool if r18 goto L4 else goto L5 :: bool L4: r19 = 'matched' r20 = builtins :: module r21 = 'print' r22 = CPyObject_GetAttr(r20, r21) r23 = [r19] r24 = load_address r23 r25 = PyObject_Vectorcall(r22, r24, 1, 0) keep_alive r19 goto L6 L5: L6: return 1 [case testMatchClassPatternPositionalCapture_python3_10] class C: __match_args__ = ("x",) x: int def f(x): match x: case C(num): print("matched") [out] def C.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.C r0 :: str r1 :: tuple[str] L0: r0 = 'x' r1 = (r0) __mypyc_self__.__match_args__ = r1 return 1 def f(x): x, r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4 :: str r5, num :: object r6 :: str r7 :: object r8 :: str r9 :: object r10 :: object[1] r11 :: object_ptr r12, r13 :: object L0: r0 = __main__.C :: type r1 = PyObject_IsInstance(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L3 :: bool L1: r4 = 'x' r5 = CPyObject_GetAttr(x, r4) num = r5 L2: r6 = 'matched' r7 = builtins :: module r8 = 'print' r9 = CPyObject_GetAttr(r7, r8) r10 = [r6] r11 = load_address r10 r12 = PyObject_Vectorcall(r9, r11, 1, 0) keep_alive r6 goto L4 L3: L4: r13 = box(None, 1) return r13 [case testMatchMappingEmpty_python3_10] def f(x): match x: case {}: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: str r3 :: object r4 :: str r5 :: object r6 :: object[1] r7 :: object_ptr r8, r9 :: object L0: r0 = CPyMapping_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L2 :: bool L1: r2 = 'matched' r3 = builtins :: module r4 = 'print' r5 = CPyObject_GetAttr(r3, r4) r6 = [r2] r7 = load_address r6 r8 = PyObject_Vectorcall(r5, r7, 1, 0) keep_alive r2 goto L3 L2: L3: r9 = box(None, 1) return r9 [case testMatchMappingPatternWithKeys_python3_10] def f(x): match x: case {"key": "value"}: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: str r3 :: i32 r4 :: bit r5 :: object r6 :: str r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11 :: str r12 :: object r13 :: str r14 :: object r15 :: object[1] r16 :: object_ptr r17, r18 :: object L0: r0 = CPyMapping_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L4 :: bool L1: r2 = 'key' r3 = PyMapping_HasKey(x, r2) r4 = r3 != 0 if r4 goto L2 else goto L4 :: bool L2: r5 = PyObject_GetItem(x, r2) r6 = 'value' r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L3 else goto L4 :: bool L3: r11 = 'matched' r12 = builtins :: module r13 = 'print' r14 = CPyObject_GetAttr(r12, r13) r15 = [r11] r16 = load_address r15 r17 = PyObject_Vectorcall(r14, r16, 1, 0) keep_alive r11 goto L5 L4: L5: r18 = box(None, 1) return r18 [case testMatchMappingPatternWithRest_python3_10] def f(x): match x: case {**rest}: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2, rest :: dict r3 :: str r4 :: object r5 :: str r6 :: object r7 :: object[1] r8 :: object_ptr r9, r10 :: object L0: r0 = CPyMapping_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L3 :: bool L1: r2 = CPyDict_FromAny(x) rest = r2 L2: r3 = 'matched' r4 = builtins :: module r5 = 'print' r6 = CPyObject_GetAttr(r4, r5) r7 = [r3] r8 = load_address r7 r9 = PyObject_Vectorcall(r6, r8, 1, 0) keep_alive r3 goto L4 L3: L4: r10 = box(None, 1) return r10 [case testMatchMappingPatternWithRestPopKeys_python3_10] def f(x): match x: case {"key": "value", **rest}: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: str r3 :: i32 r4 :: bit r5 :: object r6 :: str r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11, rest :: dict r12 :: i32 r13 :: bit r14 :: str r15 :: object r16 :: str r17 :: object r18 :: object[1] r19 :: object_ptr r20, r21 :: object L0: r0 = CPyMapping_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L5 :: bool L1: r2 = 'key' r3 = PyMapping_HasKey(x, r2) r4 = r3 != 0 if r4 goto L2 else goto L5 :: bool L2: r5 = PyObject_GetItem(x, r2) r6 = 'value' r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L3 else goto L5 :: bool L3: r11 = CPyDict_FromAny(x) rest = r11 r12 = PyDict_DelItem(r11, r2) r13 = r12 >= 0 :: signed L4: r14 = 'matched' r15 = builtins :: module r16 = 'print' r17 = CPyObject_GetAttr(r15, r16) r18 = [r14] r19 = load_address r18 r20 = PyObject_Vectorcall(r17, r19, 1, 0) keep_alive r14 goto L6 L5: L6: r21 = box(None, 1) return r21 [case testMatchEmptySequencePattern_python3_10] def f(x): match x: case []: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: native_int r3, r4 :: bit r5 :: str r6 :: object r7 :: str r8 :: object r9 :: object[1] r10 :: object_ptr r11, r12 :: object L0: r0 = CPySequence_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L3 :: bool L1: r2 = PyObject_Size(x) r3 = r2 >= 0 :: signed r4 = r2 == 0 if r4 goto L2 else goto L3 :: bool L2: r5 = 'matched' r6 = builtins :: module r7 = 'print' r8 = CPyObject_GetAttr(r6, r7) r9 = [r5] r10 = load_address r9 r11 = PyObject_Vectorcall(r8, r10, 1, 0) keep_alive r5 goto L4 L3: L4: r12 = box(None, 1) return r12 [case testMatchFixedLengthSequencePattern_python3_10] def f(x): match x: case [1, 2]: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: native_int r3, r4 :: bit r5, r6, r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11, r12, r13 :: object r14 :: i32 r15 :: bit r16 :: bool r17 :: str r18 :: object r19 :: str r20 :: object r21 :: object[1] r22 :: object_ptr r23, r24 :: object L0: r0 = CPySequence_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L5 :: bool L1: r2 = PyObject_Size(x) r3 = r2 >= 0 :: signed r4 = r2 == 2 if r4 goto L2 else goto L5 :: bool L2: r5 = PySequence_GetItem(x, 0) r6 = object 1 r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L3 else goto L5 :: bool L3: r11 = PySequence_GetItem(x, 1) r12 = object 2 r13 = PyObject_RichCompare(r11, r12, 2) r14 = PyObject_IsTrue(r13) r15 = r14 >= 0 :: signed r16 = truncate r14: i32 to builtins.bool if r16 goto L4 else goto L5 :: bool L4: r17 = 'matched' r18 = builtins :: module r19 = 'print' r20 = CPyObject_GetAttr(r18, r19) r21 = [r17] r22 = load_address r21 r23 = PyObject_Vectorcall(r20, r22, 1, 0) keep_alive r17 goto L6 L5: L6: r24 = box(None, 1) return r24 [case testMatchSequencePatternWithTrailingUnboundStar_python3_10] def f(x): match x: case [1, 2, *_]: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: native_int r3, r4 :: bit r5, r6, r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11, r12, r13 :: object r14 :: i32 r15 :: bit r16 :: bool r17 :: str r18 :: object r19 :: str r20 :: object r21 :: object[1] r22 :: object_ptr r23, r24 :: object L0: r0 = CPySequence_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L5 :: bool L1: r2 = PyObject_Size(x) r3 = r2 >= 0 :: signed r4 = r2 >= 2 :: signed if r4 goto L2 else goto L5 :: bool L2: r5 = PySequence_GetItem(x, 0) r6 = object 1 r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L3 else goto L5 :: bool L3: r11 = PySequence_GetItem(x, 1) r12 = object 2 r13 = PyObject_RichCompare(r11, r12, 2) r14 = PyObject_IsTrue(r13) r15 = r14 >= 0 :: signed r16 = truncate r14: i32 to builtins.bool if r16 goto L4 else goto L5 :: bool L4: r17 = 'matched' r18 = builtins :: module r19 = 'print' r20 = CPyObject_GetAttr(r18, r19) r21 = [r17] r22 = load_address r21 r23 = PyObject_Vectorcall(r20, r22, 1, 0) keep_alive r17 goto L6 L5: L6: r24 = box(None, 1) return r24 [case testMatchSequencePatternWithTrailingBoundStar_python3_10] def f(x): match x: case [1, 2, *rest]: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: native_int r3, r4 :: bit r5, r6, r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11, r12, r13 :: object r14 :: i32 r15 :: bit r16 :: bool r17 :: native_int r18 :: object r19, rest :: list r20 :: str r21 :: object r22 :: str r23 :: object r24 :: object[1] r25 :: object_ptr r26, r27 :: object L0: r0 = CPySequence_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L6 :: bool L1: r2 = PyObject_Size(x) r3 = r2 >= 0 :: signed r4 = r2 >= 2 :: signed if r4 goto L2 else goto L6 :: bool L2: r5 = PySequence_GetItem(x, 0) r6 = object 1 r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L3 else goto L6 :: bool L3: r11 = PySequence_GetItem(x, 1) r12 = object 2 r13 = PyObject_RichCompare(r11, r12, 2) r14 = PyObject_IsTrue(r13) r15 = r14 >= 0 :: signed r16 = truncate r14: i32 to builtins.bool if r16 goto L4 else goto L6 :: bool L4: r17 = r2 - 0 r18 = PySequence_GetSlice(x, 2, r17) r19 = cast(list, r18) rest = r19 L5: r20 = 'matched' r21 = builtins :: module r22 = 'print' r23 = CPyObject_GetAttr(r21, r22) r24 = [r20] r25 = load_address r24 r26 = PyObject_Vectorcall(r23, r25, 1, 0) keep_alive r20 goto L7 L6: L7: r27 = box(None, 1) return r27 [case testMatchSequenceWithStarPatternInTheMiddle_python3_10] def f(x): match x: case ["start", *rest, "end"]: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: native_int r3, r4 :: bit r5 :: object r6 :: str r7 :: object r8 :: i32 r9 :: bit r10 :: bool r11 :: native_int r12 :: object r13 :: str r14 :: object r15 :: i32 r16 :: bit r17 :: bool r18 :: native_int r19 :: object r20, rest :: list r21 :: str r22 :: object r23 :: str r24 :: object r25 :: object[1] r26 :: object_ptr r27, r28 :: object L0: r0 = CPySequence_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L6 :: bool L1: r2 = PyObject_Size(x) r3 = r2 >= 0 :: signed r4 = r2 >= 2 :: signed if r4 goto L2 else goto L6 :: bool L2: r5 = PySequence_GetItem(x, 0) r6 = 'start' r7 = PyObject_RichCompare(r5, r6, 2) r8 = PyObject_IsTrue(r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L3 else goto L6 :: bool L3: r11 = r2 - 1 r12 = PySequence_GetItem(x, r11) r13 = 'end' r14 = PyObject_RichCompare(r12, r13, 2) r15 = PyObject_IsTrue(r14) r16 = r15 >= 0 :: signed r17 = truncate r15: i32 to builtins.bool if r17 goto L4 else goto L6 :: bool L4: r18 = r2 - 1 r19 = PySequence_GetSlice(x, 1, r18) r20 = cast(list, r19) rest = r20 L5: r21 = 'matched' r22 = builtins :: module r23 = 'print' r24 = CPyObject_GetAttr(r22, r23) r25 = [r21] r26 = load_address r25 r27 = PyObject_Vectorcall(r24, r26, 1, 0) keep_alive r21 goto L7 L6: L7: r28 = box(None, 1) return r28 [case testMatchSequenceWithStarPatternAtTheStart_python3_10] def f(x): match x: case [*rest, 1, 2]: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: native_int r3, r4 :: bit r5 :: native_int r6, r7, r8 :: object r9 :: i32 r10 :: bit r11 :: bool r12 :: native_int r13, r14, r15 :: object r16 :: i32 r17 :: bit r18 :: bool r19 :: native_int r20 :: object r21, rest :: list r22 :: str r23 :: object r24 :: str r25 :: object r26 :: object[1] r27 :: object_ptr r28, r29 :: object L0: r0 = CPySequence_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L6 :: bool L1: r2 = PyObject_Size(x) r3 = r2 >= 0 :: signed r4 = r2 >= 2 :: signed if r4 goto L2 else goto L6 :: bool L2: r5 = r2 - 2 r6 = PySequence_GetItem(x, r5) r7 = object 1 r8 = PyObject_RichCompare(r6, r7, 2) r9 = PyObject_IsTrue(r8) r10 = r9 >= 0 :: signed r11 = truncate r9: i32 to builtins.bool if r11 goto L3 else goto L6 :: bool L3: r12 = r2 - 1 r13 = PySequence_GetItem(x, r12) r14 = object 2 r15 = PyObject_RichCompare(r13, r14, 2) r16 = PyObject_IsTrue(r15) r17 = r16 >= 0 :: signed r18 = truncate r16: i32 to builtins.bool if r18 goto L4 else goto L6 :: bool L4: r19 = r2 - 2 r20 = PySequence_GetSlice(x, 0, r19) r21 = cast(list, r20) rest = r21 L5: r22 = 'matched' r23 = builtins :: module r24 = 'print' r25 = CPyObject_GetAttr(r23, r24) r26 = [r22] r27 = load_address r26 r28 = PyObject_Vectorcall(r25, r27, 1, 0) keep_alive r22 goto L7 L6: L7: r29 = box(None, 1) return r29 [case testMatchBuiltinClassPattern_python3_10] def f(x): match x: case int(y): print("matched") [out] def f(x): x, r0 :: object r1 :: bool y :: object r2 :: str r3 :: object r4 :: str r5 :: object r6 :: object[1] r7 :: object_ptr r8, r9 :: object L0: r0 = load_address PyLong_Type r1 = CPy_TypeCheck(x, r0) if r1 goto L1 else goto L3 :: bool L1: y = x L2: r2 = 'matched' r3 = builtins :: module r4 = 'print' r5 = CPyObject_GetAttr(r3, r4) r6 = [r2] r7 = load_address r6 r8 = PyObject_Vectorcall(r5, r7, 1, 0) keep_alive r2 goto L4 L3: L4: r9 = box(None, 1) return r9 [case testMatchSequenceCaptureAll_python3_10] def f(x): match x: case [*rest]: print("matched") [out] def f(x): x :: object r0 :: i32 r1 :: bit r2 :: native_int r3, r4 :: bit r5 :: native_int r6 :: object r7, rest :: list r8 :: str r9 :: object r10 :: str r11 :: object r12 :: object[1] r13 :: object_ptr r14, r15 :: object L0: r0 = CPySequence_Check(x) r1 = r0 != 0 if r1 goto L1 else goto L4 :: bool L1: r2 = PyObject_Size(x) r3 = r2 >= 0 :: signed r4 = r2 >= 0 :: signed if r4 goto L2 else goto L4 :: bool L2: r5 = r2 - 0 r6 = PySequence_GetSlice(x, 0, r5) r7 = cast(list, r6) rest = r7 L3: r8 = 'matched' r9 = builtins :: module r10 = 'print' r11 = CPyObject_GetAttr(r9, r10) r12 = [r8] r13 = load_address r12 r14 = PyObject_Vectorcall(r11, r13, 1, 0) keep_alive r8 goto L5 L4: L5: r15 = box(None, 1) return r15 [case testMatchTypeAnnotatedNativeClass_python3_10] class A: a: int def f(x: A | int) -> int: match x: case A(a=a): return a case int(): return x [out] def f(x): x :: union[__main__.A, int] r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4 :: str r5 :: object r6, a :: int r7 :: object r8 :: bool r9 :: int L0: r0 = __main__.A :: type r1 = PyObject_IsInstance(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L3 :: bool L1: r4 = 'a' r5 = CPyObject_GetAttr(x, r4) r6 = unbox(int, r5) a = r6 L2: return a L3: r7 = load_address PyLong_Type r8 = CPy_TypeCheck(x, r7) if r8 goto L4 else goto L5 :: bool L4: r9 = unbox(int, x) return r9 L5: L6: unreachable [case testMatchLiteralMatchArgs_python3_10] from typing import Literal class Foo: __match_args__: tuple[Literal["foo"]] = ("foo",) foo: str def f(x: Foo) -> None: match x: case Foo(foo): print("foo") case _: assert False, "Unreachable" [out] def Foo.__mypyc_defaults_setup(__mypyc_self__): __mypyc_self__ :: __main__.Foo r0 :: str r1 :: tuple[str] L0: r0 = 'foo' r1 = (r0) __mypyc_self__.__match_args__ = r1 return 1 def f(x): x :: __main__.Foo r0 :: object r1 :: i32 r2 :: bit r3 :: bool r4 :: str r5 :: object r6, foo, r7 :: str r8 :: object r9 :: str r10 :: object r11 :: object[1] r12 :: object_ptr r13, r14 :: object r15 :: i32 r16 :: bit r17, r18 :: bool L0: r0 = __main__.Foo :: type r1 = PyObject_IsInstance(x, r0) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool if r3 goto L1 else goto L3 :: bool L1: r4 = 'foo' r5 = CPyObject_GetAttr(x, r4) r6 = cast(str, r5) foo = r6 L2: r7 = 'foo' r8 = builtins :: module r9 = 'print' r10 = CPyObject_GetAttr(r8, r9) r11 = [r7] r12 = load_address r11 r13 = PyObject_Vectorcall(r10, r12, 1, 0) keep_alive r7 goto L8 L3: L4: r14 = box(bool, 0) r15 = PyObject_IsTrue(r14) r16 = r15 >= 0 :: signed r17 = truncate r15: i32 to builtins.bool if r17 goto L6 else goto L5 :: bool L5: r18 = raise AssertionError('Unreachable') unreachable L6: goto L8 L7: L8: return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-math.test0000644000175100017510000000152715112307767020575 0ustar00runnerrunner[case testMathLiteralsAreInlined] import math from math import pi, e, tau, inf, nan def f1() -> float: return pi def f2() -> float: return math.pi def f3() -> float: return math.e def f4() -> float: return math.e def f5() -> float: return math.tau def f6() -> float: return math.tau def f7() -> float: return math.inf def f8() -> float: return math.inf def f9() -> float: return math.nan def f10() -> float: return math.nan [out] def f1(): L0: return 3.141592653589793 def f2(): L0: return 3.141592653589793 def f3(): L0: return 2.718281828459045 def f4(): L0: return 2.718281828459045 def f5(): L0: return 6.283185307179586 def f6(): L0: return 6.283185307179586 def f7(): L0: return inf def f8(): L0: return inf def f9(): L0: return nan def f10(): L0: return nan ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-nested.test0000644000175100017510000004611615112307767021131 0ustar00runnerrunner[case testNestedFunctions] from typing import Callable def a() -> Callable[[], object]: def inner() -> object: return None return inner def b() -> Callable[[], Callable[[], str]]: def first() -> Callable[[], str]: def second() -> str: return 'b.first.second: nested function' return second return first def c(num: float) -> Callable[[str], str]: def inner(s: str) -> str: return s + '!' return inner def d(num: float) -> str: def inner(s: str) -> str: return s + '?' a = inner('one') b = inner('two') return a def inner() -> str: return 'inner: normal function' def first() -> str: return 'first: normal function' def second() -> str: return 'second: normal function' [out] def inner_a_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_a_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.inner_a_obj r0 :: __main__.a_env r1 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = box(None, 1) return r1 def a(): r0 :: __main__.a_env r1 :: __main__.inner_a_obj r2 :: bool inner :: object L0: r0 = a_env() r1 = inner_a_obj() r1.__mypyc_env__ = r0; r2 = is_error inner = r1 return inner def second_b_first_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def second_b_first_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.second_b_first_obj r0 :: __main__.first_b_env r1 :: __main__.b_env r2 :: str L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.__mypyc_env__ r2 = 'b.first.second: nested function' return r2 def first_b_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def first_b_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.first_b_obj r0 :: __main__.b_env r1 :: __main__.first_b_env r2 :: bool r3 :: __main__.second_b_first_obj r4 :: bool second :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = first_b_env() r1.__mypyc_env__ = r0; r2 = is_error r3 = second_b_first_obj() r3.__mypyc_env__ = r1; r4 = is_error second = r3 return second def b(): r0 :: __main__.b_env r1 :: __main__.first_b_obj r2 :: bool first :: object L0: r0 = b_env() r1 = first_b_obj() r1.__mypyc_env__ = r0; r2 = is_error first = r1 return first def inner_c_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_c_obj.__call__(__mypyc_self__, s): __mypyc_self__ :: __main__.inner_c_obj s :: str r0 :: __main__.c_env r1, r2 :: str L0: r0 = __mypyc_self__.__mypyc_env__ r1 = '!' r2 = PyUnicode_Concat(s, r1) return r2 def c(num): num :: float r0 :: __main__.c_env r1 :: __main__.inner_c_obj r2 :: bool inner :: object L0: r0 = c_env() r1 = inner_c_obj() r1.__mypyc_env__ = r0; r2 = is_error inner = r1 return inner def inner_d_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_d_obj.__call__(__mypyc_self__, s): __mypyc_self__ :: __main__.inner_d_obj s :: str r0 :: __main__.d_env r1, r2 :: str L0: r0 = __mypyc_self__.__mypyc_env__ r1 = '?' r2 = PyUnicode_Concat(s, r1) return r2 def d(num): num :: float r0 :: __main__.d_env r1 :: __main__.inner_d_obj r2 :: bool inner :: object r3 :: str r4 :: object[1] r5 :: object_ptr r6 :: object r7, a, r8 :: str r9 :: object[1] r10 :: object_ptr r11 :: object r12, b :: str L0: r0 = d_env() r1 = inner_d_obj() r1.__mypyc_env__ = r0; r2 = is_error inner = r1 r3 = 'one' r4 = [r3] r5 = load_address r4 r6 = PyObject_Vectorcall(inner, r5, 1, 0) keep_alive r3 r7 = cast(str, r6) a = r7 r8 = 'two' r9 = [r8] r10 = load_address r9 r11 = PyObject_Vectorcall(inner, r10, 1, 0) keep_alive r8 r12 = cast(str, r11) b = r12 return a def inner(): r0 :: str L0: r0 = 'inner: normal function' return r0 def first(): r0 :: str L0: r0 = 'first: normal function' return r0 def second(): r0 :: str L0: r0 = 'second: normal function' return r0 [case testFreeVars] from typing import Callable def a(num: int) -> int: def inner() -> int: return num return inner() def b() -> int: num = 3 def inner() -> int: nonlocal num num = 4 foo = 6 return num return inner() + num def c(flag: bool) -> str: if flag: def inner() -> str: return 'f.inner: first definition' else: def inner() -> str: return 'f.inner: second definition' return inner() [out] def inner_a_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_a_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.inner_a_obj r0 :: __main__.a_env r1 :: int L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.num return r1 def a(num): num :: int r0 :: __main__.a_env r1 :: bool r2 :: __main__.inner_a_obj r3 :: bool inner, r4 :: object r5 :: int L0: r0 = a_env() r0.num = num; r1 = is_error r2 = inner_a_obj() r2.__mypyc_env__ = r0; r3 = is_error inner = r2 r4 = PyObject_Vectorcall(inner, 0, 0, 0) r5 = unbox(int, r4) return r5 def inner_b_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_b_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.inner_b_obj r0 :: __main__.b_env r1 :: bool foo, r2 :: int L0: r0 = __mypyc_self__.__mypyc_env__ r0.num = 8; r1 = is_error foo = 12 r2 = r0.num return r2 def b(): r0 :: __main__.b_env r1 :: bool r2 :: __main__.inner_b_obj r3 :: bool inner, r4 :: object r5, r6, r7 :: int L0: r0 = b_env() r0.num = 6; r1 = is_error r2 = inner_b_obj() r2.__mypyc_env__ = r0; r3 = is_error inner = r2 r4 = PyObject_Vectorcall(inner, 0, 0, 0) r5 = unbox(int, r4) r6 = r0.num r7 = CPyTagged_Add(r5, r6) return r7 def inner_c_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_c_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.inner_c_obj r0 :: __main__.c_env r1 :: str L0: r0 = __mypyc_self__.__mypyc_env__ r1 = 'f.inner: first definition' return r1 def inner_c_obj_0.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_c_obj_0.__call__(__mypyc_self__): __mypyc_self__ :: __main__.inner_c_obj_0 r0 :: __main__.c_env r1 :: str L0: r0 = __mypyc_self__.__mypyc_env__ r1 = 'f.inner: second definition' return r1 def c(flag): flag :: bool r0 :: __main__.c_env r1 :: __main__.inner_c_obj r2 :: bool inner :: object r3 :: __main__.inner_c_obj_0 r4 :: bool r5 :: object r6 :: str L0: r0 = c_env() if flag goto L1 else goto L2 :: bool L1: r1 = inner_c_obj() r1.__mypyc_env__ = r0; r2 = is_error inner = r1 goto L3 L2: r3 = inner_c_obj_0() r3.__mypyc_env__ = r0; r4 = is_error inner = r3 L3: r5 = PyObject_Vectorcall(inner, 0, 0, 0) r6 = cast(str, r5) return r6 [case testSpecialNested] def a() -> int: x = 1 def b() -> int: x += 1 def c() -> int: return x return c() return b() [out] def c_a_b_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def c_a_b_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.c_a_b_obj r0 :: __main__.b_a_env r1 :: __main__.a_env r2 :: int L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.__mypyc_env__ r2 = r1.x return r2 def b_a_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def b_a_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.b_a_obj r0 :: __main__.a_env r1 :: __main__.b_a_env r2 :: bool r3, r4 :: int r5 :: bool r6 :: __main__.c_a_b_obj r7 :: bool c, r8 :: object r9 :: int L0: r0 = __mypyc_self__.__mypyc_env__ r1 = b_a_env() r1.__mypyc_env__ = r0; r2 = is_error r3 = r0.x r4 = CPyTagged_Add(r3, 2) r0.x = r4; r5 = is_error r6 = c_a_b_obj() r6.__mypyc_env__ = r1; r7 = is_error c = r6 r8 = PyObject_Vectorcall(c, 0, 0, 0) r9 = unbox(int, r8) return r9 def a(): r0 :: __main__.a_env r1 :: bool r2 :: __main__.b_a_obj r3 :: bool b, r4 :: object r5 :: int L0: r0 = a_env() r0.x = 2; r1 = is_error r2 = b_a_obj() r2.__mypyc_env__ = r0; r3 = is_error b = r2 r4 = PyObject_Vectorcall(b, 0, 0, 0) r5 = unbox(int, r4) return r5 [case testNestedFunctionInsideStatements] def f(flag: bool) -> str: if flag: def inner() -> str: return 'f.inner: first definition' else: def inner() -> str: return 'f.inner: second definition' return inner() [out] def inner_f_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_f_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.inner_f_obj r0 :: __main__.f_env r1 :: str L0: r0 = __mypyc_self__.__mypyc_env__ r1 = 'f.inner: first definition' return r1 def inner_f_obj_0.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def inner_f_obj_0.__call__(__mypyc_self__): __mypyc_self__ :: __main__.inner_f_obj_0 r0 :: __main__.f_env r1 :: str L0: r0 = __mypyc_self__.__mypyc_env__ r1 = 'f.inner: second definition' return r1 def f(flag): flag :: bool r0 :: __main__.f_env r1 :: __main__.inner_f_obj r2 :: bool inner :: object r3 :: __main__.inner_f_obj_0 r4 :: bool r5 :: object r6 :: str L0: r0 = f_env() if flag goto L1 else goto L2 :: bool L1: r1 = inner_f_obj() r1.__mypyc_env__ = r0; r2 = is_error inner = r1 goto L3 L2: r3 = inner_f_obj_0() r3.__mypyc_env__ = r0; r4 = is_error inner = r3 L3: r5 = PyObject_Vectorcall(inner, 0, 0, 0) r6 = cast(str, r5) return r6 [case testNestedFunctionsCallEachOther] from typing import Callable, List def f(a: int) -> int: def foo() -> int: return a + 1 def bar() -> int: return foo() def baz(n: int) -> int: if n == 0: return 0 return n + baz(n - 1) return bar() + baz(a) [out] def foo_f_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def foo_f_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.foo_f_obj r0 :: __main__.f_env r1, r2 :: int L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.a r2 = CPyTagged_Add(r1, 2) return r2 def bar_f_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def bar_f_obj.__call__(__mypyc_self__): __mypyc_self__ :: __main__.bar_f_obj r0 :: __main__.f_env r1, r2 :: object r3 :: int L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.foo r2 = PyObject_Vectorcall(r1, 0, 0, 0) r3 = unbox(int, r2) return r3 def baz_f_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def baz_f_obj.__call__(__mypyc_self__, n): __mypyc_self__ :: __main__.baz_f_obj n :: int r0 :: __main__.f_env r1 :: bit r2 :: int r3, r4 :: object r5 :: object[1] r6 :: object_ptr r7 :: object r8, r9 :: int L0: r0 = __mypyc_self__.__mypyc_env__ r1 = int_eq n, 0 if r1 goto L1 else goto L2 :: bool L1: return 0 L2: r2 = CPyTagged_Subtract(n, 2) r3 = r0.baz r4 = box(int, r2) r5 = [r4] r6 = load_address r5 r7 = PyObject_Vectorcall(r3, r6, 1, 0) keep_alive r4 r8 = unbox(int, r7) r9 = CPyTagged_Add(n, r8) return r9 def f(a): a :: int r0 :: __main__.f_env r1 :: bool r2 :: __main__.foo_f_obj r3, r4 :: bool r5 :: __main__.bar_f_obj r6, r7 :: bool r8 :: __main__.baz_f_obj r9, r10 :: bool r11, r12 :: object r13, r14 :: int r15, r16 :: object r17 :: object[1] r18 :: object_ptr r19 :: object r20, r21 :: int L0: r0 = f_env() r0.a = a; r1 = is_error r2 = foo_f_obj() r2.__mypyc_env__ = r0; r3 = is_error r0.foo = r2; r4 = is_error r5 = bar_f_obj() r5.__mypyc_env__ = r0; r6 = is_error r0.bar = r5; r7 = is_error r8 = baz_f_obj() r8.__mypyc_env__ = r0; r9 = is_error r0.baz = r8; r10 = is_error r11 = r0.bar r12 = PyObject_Vectorcall(r11, 0, 0, 0) r13 = unbox(int, r12) r14 = r0.a r15 = r0.baz r16 = box(int, r14) r17 = [r16] r18 = load_address r17 r19 = PyObject_Vectorcall(r15, r18, 1, 0) keep_alive r16 r20 = unbox(int, r19) r21 = CPyTagged_Add(r13, r20) return r21 [case testLambdas] def f(x: int, y: int) -> None: s = lambda a, b: a + b t = lambda a, b: s(a, b) return t(x, y) [out] def __mypyc_lambda__0_f_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def __mypyc_lambda__0_f_obj.__call__(__mypyc_self__, a, b): __mypyc_self__ :: __main__.__mypyc_lambda__0_f_obj a, b :: object r0 :: __main__.f_env r1 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = PyNumber_Add(a, b) return r1 def __mypyc_lambda__1_f_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def __mypyc_lambda__1_f_obj.__call__(__mypyc_self__, a, b): __mypyc_self__ :: __main__.__mypyc_lambda__1_f_obj a, b :: object r0 :: __main__.f_env r1 :: object r2 :: object[2] r3 :: object_ptr r4 :: object L0: r0 = __mypyc_self__.__mypyc_env__ r1 = r0.s r2 = [a, b] r3 = load_address r2 r4 = PyObject_Vectorcall(r1, r3, 2, 0) keep_alive a, b return r4 def f(x, y): x, y :: int r0 :: __main__.f_env r1 :: __main__.__mypyc_lambda__0_f_obj r2, r3 :: bool r4 :: __main__.__mypyc_lambda__1_f_obj r5 :: bool t, r6, r7 :: object r8 :: object[2] r9 :: object_ptr r10 :: object r11 :: None L0: r0 = f_env() r1 = __mypyc_lambda__0_f_obj() r1.__mypyc_env__ = r0; r2 = is_error r0.s = r1; r3 = is_error r4 = __mypyc_lambda__1_f_obj() r4.__mypyc_env__ = r0; r5 = is_error t = r4 r6 = box(int, x) r7 = box(int, y) r8 = [r6, r7] r9 = load_address r8 r10 = PyObject_Vectorcall(t, r9, 2, 0) keep_alive r6, r7 r11 = unbox(None, r10) return r11 [case testRecursiveFunction] from typing import Callable def baz(n: int) -> int: if n == 0: return 0 return n + baz(n - 1) [out] def baz(n): n :: int r0 :: bit r1, r2, r3 :: int L0: r0 = int_eq n, 0 if r0 goto L1 else goto L2 :: bool L1: return 0 L2: r1 = CPyTagged_Subtract(n, 2) r2 = baz(r1) r3 = CPyTagged_Add(n, r2) return r3 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-optional.test0000644000175100017510000002152515112307767021471 0ustar00runnerrunner[case testIsNone] from typing import Optional class A: pass def f(x: Optional[A]) -> int: if x is None: return 1 return 2 [out] def f(x): x :: union[__main__.A, None] r0 :: object r1 :: bit L0: r0 = load_address _Py_NoneStruct r1 = x == r0 if r1 goto L1 else goto L2 :: bool L1: return 2 L2: return 4 [case testIsNotNone] from typing import Optional class A: pass def f(x: Optional[A]) -> int: if x is not None: return 1 return 2 [out] def f(x): x :: union[__main__.A, None] r0 :: object r1 :: bit L0: r0 = load_address _Py_NoneStruct r1 = x != r0 if r1 goto L1 else goto L2 :: bool L1: return 2 L2: return 4 [case testIsTruthy] from typing import Optional class A: pass def f(x: Optional[A]) -> int: if x: return 1 return 2 [out] def f(x): x :: union[__main__.A, None] r0 :: object r1 :: bit L0: r0 = load_address _Py_NoneStruct r1 = x != r0 if r1 goto L1 else goto L2 :: bool L1: return 2 L2: return 4 [case testIsTruthyOverride] from typing import Optional class A: pass class B(A): def __bool__(self) -> bool: return False def f(x: Optional[A]) -> int: if x: return 1 return 2 [out] def B.__bool__(self): self :: __main__.B L0: return 0 def f(x): x :: union[__main__.A, None] r0 :: object r1 :: bit r2 :: __main__.A r3 :: i32 r4 :: bit r5 :: bool L0: r0 = load_address _Py_NoneStruct r1 = x != r0 if r1 goto L1 else goto L3 :: bool L1: r2 = cast(__main__.A, x) r3 = PyObject_IsTrue(r2) r4 = r3 >= 0 :: signed r5 = truncate r3: i32 to builtins.bool if r5 goto L2 else goto L3 :: bool L2: return 2 L3: return 4 [case testAssignToOptional] from typing import Optional class A: a: Optional[int] def f(x: Optional[A], y: Optional[A], z: Optional[int]) -> None: x = None x = A() x = y z = 1 a = A() a.a = 1 a.a = None [out] def f(x, y, z): x, y :: union[__main__.A, None] z :: union[int, None] r0 :: object r1 :: __main__.A r2 :: object r3, a :: __main__.A r4 :: object r5 :: bool r6 :: object r7 :: bool L0: r0 = box(None, 1) x = r0 r1 = A() x = r1 x = y r2 = object 1 z = r2 r3 = A() a = r3 r4 = object 1 a.a = r4; r5 = is_error r6 = box(None, 1) a.a = r6; r7 = is_error return 1 [case testBoxOptionalListItem] from typing import List, Optional def f(x: List[Optional[int]]) -> None: x[0] = 0 x[1] = None [out] def f(x): x :: list r0 :: object r1 :: bit r2 :: object r3 :: bit L0: r0 = object 0 r1 = CPyList_SetItem(x, 0, r0) r2 = box(None, 1) r3 = CPyList_SetItem(x, 2, r2) return 1 [case testNarrowDownFromOptional] from typing import Optional class A: pass def f(x: Optional[A]) -> A: y = A() if x is not None: y = x return x return y [out] def f(x): x :: union[__main__.A, None] r0, y :: __main__.A r1 :: object r2 :: bit r3, r4 :: __main__.A L0: r0 = A() y = r0 r1 = load_address _Py_NoneStruct r2 = x != r1 if r2 goto L1 else goto L2 :: bool L1: r3 = cast(__main__.A, x) y = r3 r4 = cast(__main__.A, x) return r4 L2: return y [case testPartialOptionalType] def f(y: int) -> None: x = None if y == 1: x = y if x is not None: y = x [out] def f(y): y :: int r0 :: object x :: union[int, None] r1 :: bit r2, r3 :: object r4 :: bit r5 :: int L0: r0 = box(None, 1) x = r0 r1 = int_eq y, 2 if r1 goto L1 else goto L2 :: bool L1: r2 = box(int, y) x = r2 L2: r3 = load_address _Py_NoneStruct r4 = x != r3 if r4 goto L3 else goto L4 :: bool L3: r5 = unbox(int, x) y = r5 L4: return 1 [case testUnionType] from typing import Union class A: a: int def f(x: Union[int, A]) -> int: if isinstance(x, int): return x + 1 else: return x.a [out] def f(x): x :: union[int, __main__.A] r0 :: bit r1, r2 :: int r3 :: __main__.A r4 :: int L0: r0 = PyLong_Check(x) if r0 goto L1 else goto L2 :: bool L1: r1 = unbox(int, x) r2 = CPyTagged_Add(r1, 2) return r2 L2: r3 = borrow cast(__main__.A, x) r4 = r3.a keep_alive x return r4 L3: unreachable [case testUnionTypeInList] from typing import List, Union def f(x: List[Union[int, str]]) -> object: return x[0] [out] def f(x): x :: list r0 :: object r1 :: union[int, str] L0: r0 = CPyList_GetItemShort(x, 0) r1 = cast(union[int, str], r0) return r1 [case testUnionAttributeAccess] from typing import Union class A: a: int class B: a: object def get(o: Union[A, B]) -> None: z = o.a def set(o: Union[A, B], s: str) -> None: o.a = s [out] def get(o): o :: union[__main__.A, __main__.B] r0 :: object r1 :: ptr r2 :: object r3 :: bit r4 :: __main__.A r5 :: int r6, r7 :: object r8 :: __main__.B r9, z :: object L0: r0 = __main__.A :: type r1 = get_element_ptr o ob_type :: PyObject r2 = borrow load_mem r1 :: builtins.object* keep_alive o r3 = r2 == r0 if r3 goto L1 else goto L2 :: bool L1: r4 = cast(__main__.A, o) r5 = r4.a r6 = box(int, r5) r7 = r6 goto L3 L2: r8 = cast(__main__.B, o) r9 = r8.a r7 = r9 L3: z = r7 return 1 def set(o, s): o :: union[__main__.A, __main__.B] s, r0 :: str r1 :: i32 r2 :: bit L0: r0 = 'a' r1 = PyObject_SetAttr(o, r0, s) r2 = r1 >= 0 :: signed return 1 [case testUnionMethodCall] from typing import Union class A: def f(self, x: int) -> int: return x class B: def f(self, x: object) -> object: return x class C: def f(self, x: object) -> int: return 0 def g(o: Union[A, B, C]) -> None: z = o.f(1) [out] def A.f(self, x): self :: __main__.A x :: int L0: return x def B.f(self, x): self :: __main__.B x :: object L0: return x def C.f(self, x): self :: __main__.C x :: object L0: return 0 def g(o): o :: union[__main__.A, __main__.B, __main__.C] r0 :: object r1 :: ptr r2 :: object r3 :: bit r4 :: __main__.A r5 :: int r6, r7, r8 :: object r9 :: ptr r10 :: object r11 :: bit r12 :: __main__.B r13, r14 :: object r15 :: __main__.C r16 :: object r17 :: int r18, z :: object L0: r0 = __main__.A :: type r1 = get_element_ptr o ob_type :: PyObject r2 = borrow load_mem r1 :: builtins.object* keep_alive o r3 = r2 == r0 if r3 goto L1 else goto L2 :: bool L1: r4 = cast(__main__.A, o) r5 = r4.f(2) r6 = box(int, r5) r7 = r6 goto L5 L2: r8 = __main__.B :: type r9 = get_element_ptr o ob_type :: PyObject r10 = borrow load_mem r9 :: builtins.object* keep_alive o r11 = r10 == r8 if r11 goto L3 else goto L4 :: bool L3: r12 = cast(__main__.B, o) r13 = object 1 r14 = r12.f(r13) r7 = r14 goto L5 L4: r15 = cast(__main__.C, o) r16 = object 1 r17 = r15.f(r16) r18 = box(int, r17) r7 = r18 L5: z = r7 return 1 [case testUnionWithNonNativeItem] from typing import Union from m import B class A: x: int def f(o: Union[A, B]) -> None: o.x def g(o: Union[B, A]) -> None: o.x [file m.py] class B: x: int [out] def f(o): o :: union[__main__.A, object] r0 :: object r1 :: ptr r2 :: object r3 :: bit r4 :: __main__.A r5, r6 :: int r7 :: object r8 :: str r9 :: object r10 :: int L0: r0 = __main__.A :: type r1 = get_element_ptr o ob_type :: PyObject r2 = borrow load_mem r1 :: builtins.object* keep_alive o r3 = r2 == r0 if r3 goto L1 else goto L2 :: bool L1: r4 = cast(__main__.A, o) r5 = r4.x r6 = r5 goto L3 L2: r7 = o r8 = 'x' r9 = CPyObject_GetAttr(r7, r8) r10 = unbox(int, r9) r6 = r10 L3: return 1 def g(o): o :: union[object, __main__.A] r0 :: object r1 :: ptr r2 :: object r3 :: bit r4 :: __main__.A r5, r6 :: int r7 :: object r8 :: str r9 :: object r10 :: int L0: r0 = __main__.A :: type r1 = get_element_ptr o ob_type :: PyObject r2 = borrow load_mem r1 :: builtins.object* keep_alive o r3 = r2 == r0 if r3 goto L1 else goto L2 :: bool L1: r4 = cast(__main__.A, o) r5 = r4.x r6 = r5 goto L3 L2: r7 = o r8 = 'x' r9 = CPyObject_GetAttr(r7, r8) r10 = unbox(int, r9) r6 = r10 L3: return 1 [case testUnionWithNoNativeItems] from typing import Union from m import A, B def f(o: Union[A, B]) -> None: o.x [file m.py] class A: x: object class B: x: int [out] def f(o): o :: object r0 :: str r1 :: object L0: r0 = 'x' r1 = CPyObject_GetAttr(o, r0) return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-set.test0000644000175100017510000003462215112307767020441 0ustar00runnerrunner[case testNewSet] from typing import Set def f() -> Set[int]: return {1, 2, 3} [out] def f(): r0 :: set r1 :: object r2 :: i32 r3 :: bit r4 :: object r5 :: i32 r6 :: bit r7 :: object r8 :: i32 r9 :: bit L0: r0 = PySet_New(0) r1 = object 1 r2 = PySet_Add(r0, r1) r3 = r2 >= 0 :: signed r4 = object 2 r5 = PySet_Add(r0, r4) r6 = r5 >= 0 :: signed r7 = object 3 r8 = PySet_Add(r0, r7) r9 = r8 >= 0 :: signed return r0 [case testNewEmptySet] from typing import Set def f() -> Set[int]: return set() [out] def f(): r0 :: set L0: r0 = PySet_New(0) return r0 [case testNewSetFromIterable] from typing import Set, List, TypeVar T = TypeVar("T") def f(l: List[T]) -> Set[T]: return set(l) [out] def f(l): l :: list r0 :: set L0: r0 = PySet_New(l) return r0 [case testNewSetFromIterable2] def f(x: int) -> int: return x def test1() -> None: tmp_list = [1, 3, 5] a = set(f(x) for x in tmp_list) def test2() -> None: tmp_tuple = (1, 3, 5) b = set(f(x) for x in tmp_tuple) def test3() -> None: tmp_dict = {1: '1', 3: '3', 5: '5'} c = set(f(x) for x in tmp_dict) def test4() -> None: d = set(f(x) for x in range(1, 6, 2)) def test5() -> None: e = set((f(x) for x in range(1, 6, 2))) [out] def f(x): x :: int L0: return x def test1(): r0 :: list r1, r2, r3 :: object r4 :: ptr tmp_list :: list r5 :: set r6, r7 :: native_int r8 :: bit r9 :: object r10, x, r11 :: int r12 :: object r13 :: i32 r14 :: bit r15 :: native_int a :: set L0: r0 = PyList_New(3) r1 = object 1 r2 = object 3 r3 = object 5 r4 = list_items r0 buf_init_item r4, 0, r1 buf_init_item r4, 1, r2 buf_init_item r4, 2, r3 keep_alive r0 tmp_list = r0 r5 = PySet_New(0) r6 = 0 L1: r7 = var_object_size tmp_list r8 = r6 < r7 :: signed if r8 goto L2 else goto L4 :: bool L2: r9 = list_get_item_unsafe tmp_list, r6 r10 = unbox(int, r9) x = r10 r11 = f(x) r12 = box(int, r11) r13 = PySet_Add(r5, r12) r14 = r13 >= 0 :: signed L3: r15 = r6 + 1 r6 = r15 goto L1 L4: a = r5 return 1 def test2(): r0, tmp_tuple :: tuple[int, int, int] r1 :: set r2, r3, r4 :: object r5, x, r6 :: int r7 :: object r8 :: i32 r9, r10 :: bit b :: set L0: r0 = (2, 6, 10) tmp_tuple = r0 r1 = PySet_New(0) r2 = box(tuple[int, int, int], tmp_tuple) r3 = PyObject_GetIter(r2) L1: r4 = PyIter_Next(r3) if is_error(r4) goto L4 else goto L2 L2: r5 = unbox(int, r4) x = r5 r6 = f(x) r7 = box(int, r6) r8 = PySet_Add(r1, r7) r9 = r8 >= 0 :: signed L3: goto L1 L4: r10 = CPy_NoErrOccurred() L5: b = r1 return 1 def test3(): r0, r1, r2 :: str r3, r4, r5 :: object r6, tmp_dict :: dict r7 :: set r8 :: short_int r9 :: native_int r10 :: object r11 :: tuple[bool, short_int, object] r12 :: short_int r13 :: bool r14 :: object r15, x, r16 :: int r17 :: object r18 :: i32 r19, r20, r21 :: bit c :: set L0: r0 = '1' r1 = '3' r2 = '5' r3 = object 1 r4 = object 3 r5 = object 5 r6 = CPyDict_Build(3, r3, r0, r4, r1, r5, r2) tmp_dict = r6 r7 = PySet_New(0) r8 = 0 r9 = PyDict_Size(tmp_dict) r10 = CPyDict_GetKeysIter(tmp_dict) L1: r11 = CPyDict_NextKey(r10, r8) r12 = r11[1] r8 = r12 r13 = r11[0] if r13 goto L2 else goto L4 :: bool L2: r14 = r11[2] r15 = unbox(int, r14) x = r15 r16 = f(x) r17 = box(int, r16) r18 = PySet_Add(r7, r17) r19 = r18 >= 0 :: signed L3: r20 = CPyDict_CheckSize(tmp_dict, r9) goto L1 L4: r21 = CPy_NoErrOccurred() L5: c = r7 return 1 def test4(): r0 :: set r1 :: short_int x :: int r2 :: bit r3 :: int r4 :: object r5 :: i32 r6 :: bit r7 :: short_int d :: set L0: r0 = PySet_New(0) r1 = 2 x = r1 L1: r2 = int_lt r1, 12 if r2 goto L2 else goto L4 :: bool L2: r3 = f(x) r4 = box(int, r3) r5 = PySet_Add(r0, r4) r6 = r5 >= 0 :: signed L3: r7 = r1 + 4 r1 = r7 x = r7 goto L1 L4: d = r0 return 1 def test5(): r0 :: set r1 :: short_int x :: int r2 :: bit r3 :: int r4 :: object r5 :: i32 r6 :: bit r7 :: short_int e :: set L0: r0 = PySet_New(0) r1 = 2 x = r1 L1: r2 = int_lt r1, 12 if r2 goto L2 else goto L4 :: bool L2: r3 = f(x) r4 = box(int, r3) r5 = PySet_Add(r0, r4) r6 = r5 >= 0 :: signed L3: r7 = r1 + 4 r1 = r7 x = r7 goto L1 L4: e = r0 return 1 [case testNewSetFromIterable3] def f1(x: int) -> int: return x def f2(x: int) -> int: return x * 10 def f3(x: int) -> int: return x + 1 def test() -> None: tmp_list = [1, 2, 3, 4, 5] a = set(f3(x) for x in (f2(y) for y in (f1(z) for z in tmp_list if z < 4))) [out] def f1(x): x :: int L0: return x def f2(x): x, r0 :: int L0: r0 = CPyTagged_Multiply(x, 20) return r0 def f3(x): x, r0 :: int L0: r0 = CPyTagged_Add(x, 2) return r0 def test(): r0 :: list r1, r2, r3, r4, r5 :: object r6 :: ptr tmp_list :: list r7 :: set r8, r9 :: list r10, r11 :: native_int r12 :: bit r13 :: object r14, z :: int r15 :: bit r16 :: int r17 :: object r18 :: i32 r19 :: bit r20 :: native_int r21, r22, r23 :: object r24, y, r25 :: int r26 :: object r27 :: i32 r28, r29 :: bit r30, r31, r32 :: object r33, x, r34 :: int r35 :: object r36 :: i32 r37, r38 :: bit a :: set L0: r0 = PyList_New(5) r1 = object 1 r2 = object 2 r3 = object 3 r4 = object 4 r5 = object 5 r6 = list_items r0 buf_init_item r6, 0, r1 buf_init_item r6, 1, r2 buf_init_item r6, 2, r3 buf_init_item r6, 3, r4 buf_init_item r6, 4, r5 keep_alive r0 tmp_list = r0 r7 = PySet_New(0) r8 = PyList_New(0) r9 = PyList_New(0) r10 = 0 L1: r11 = var_object_size tmp_list r12 = r10 < r11 :: signed if r12 goto L2 else goto L6 :: bool L2: r13 = list_get_item_unsafe tmp_list, r10 r14 = unbox(int, r13) z = r14 r15 = int_lt z, 8 if r15 goto L4 else goto L3 :: bool L3: goto L5 L4: r16 = f1(z) r17 = box(int, r16) r18 = PyList_Append(r9, r17) r19 = r18 >= 0 :: signed L5: r20 = r10 + 1 r10 = r20 goto L1 L6: r21 = PyObject_GetIter(r9) r22 = PyObject_GetIter(r21) L7: r23 = PyIter_Next(r22) if is_error(r23) goto L10 else goto L8 L8: r24 = unbox(int, r23) y = r24 r25 = f2(y) r26 = box(int, r25) r27 = PyList_Append(r8, r26) r28 = r27 >= 0 :: signed L9: goto L7 L10: r29 = CPy_NoErrOccurred() L11: r30 = PyObject_GetIter(r8) r31 = PyObject_GetIter(r30) L12: r32 = PyIter_Next(r31) if is_error(r32) goto L15 else goto L13 L13: r33 = unbox(int, r32) x = r33 r34 = f3(x) r35 = box(int, r34) r36 = PySet_Add(r7, r35) r37 = r36 >= 0 :: signed L14: goto L12 L15: r38 = CPy_NoErrOccurred() L16: a = r7 return 1 [case testSetSize] from typing import Set def f() -> int: return len({1, 2, 3}) [out] def f(): r0 :: set r1 :: object r2 :: i32 r3 :: bit r4 :: object r5 :: i32 r6 :: bit r7 :: object r8 :: i32 r9 :: bit r10 :: ptr r11 :: native_int r12 :: short_int L0: r0 = PySet_New(0) r1 = object 1 r2 = PySet_Add(r0, r1) r3 = r2 >= 0 :: signed r4 = object 2 r5 = PySet_Add(r0, r4) r6 = r5 >= 0 :: signed r7 = object 3 r8 = PySet_Add(r0, r7) r9 = r8 >= 0 :: signed r10 = get_element_ptr r0 used :: PySetObject r11 = load_mem r10 :: native_int* keep_alive r0 r12 = r11 << 1 return r12 [case testSetContains] from typing import Set def f() -> bool: x = {3, 4} return (5 in x) [out] def f(): r0 :: set r1 :: object r2 :: i32 r3 :: bit r4 :: object r5 :: i32 r6 :: bit x :: set r7 :: object r8 :: i32 r9 :: bit r10 :: bool L0: r0 = PySet_New(0) r1 = object 3 r2 = PySet_Add(r0, r1) r3 = r2 >= 0 :: signed r4 = object 4 r5 = PySet_Add(r0, r4) r6 = r5 >= 0 :: signed x = r0 r7 = object 5 r8 = PySet_Contains(x, r7) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool return r10 [case testSetRemove] from typing import Set def f() -> Set[int]: x = set() # type: Set[int] x.remove(1) return x [out] def f(): r0, x :: set r1 :: object r2 :: bit L0: r0 = PySet_New(0) x = r0 r1 = object 1 r2 = CPySet_Remove(x, r1) return x [case testSetDiscard] from typing import Set def f() -> Set[int]: x = set() # type: Set[int] x.discard(1) return x [out] def f(): r0, x :: set r1 :: object r2 :: i32 r3 :: bit L0: r0 = PySet_New(0) x = r0 r1 = object 1 r2 = PySet_Discard(x, r1) r3 = r2 >= 0 :: signed return x [case testSetAdd] from typing import Set def f() -> Set[int]: x = set() # type: Set[int] x.add(1) return x [out] def f(): r0, x :: set r1 :: object r2 :: i32 r3 :: bit L0: r0 = PySet_New(0) x = r0 r1 = object 1 r2 = PySet_Add(x, r1) r3 = r2 >= 0 :: signed return x [case testSetClear] from typing import Set def f() -> Set[int]: x = set() # type: Set[int] x.clear() return x [out] def f(): r0, x :: set r1 :: i32 r2 :: bit L0: r0 = PySet_New(0) x = r0 r1 = PySet_Clear(x) r2 = r1 >= 0 :: signed return x [case testSetPop] from typing import Set def f(s : Set[int]) -> int: return s.pop() [out] def f(s): s :: set r0 :: object r1 :: int L0: r0 = PySet_Pop(s) r1 = unbox(int, r0) return r1 [case testSetUpdate] from typing import Set, List def update(s: Set[int], x: List[int]) -> None: s.update(x) [out] def update(s, x): s :: set x :: list r0 :: i32 r1 :: bit L0: r0 = _PySet_Update(s, x) r1 = r0 >= 0 :: signed return 1 [case testSetDisplay] from typing import Set def f(x: Set[int], y: Set[int]) -> Set[int]: return {1, 2, *x, *y, 3} [out] def f(x, y): x, y, r0 :: set r1 :: object r2 :: i32 r3 :: bit r4 :: object r5 :: i32 r6 :: bit r7 :: i32 r8 :: bit r9 :: i32 r10 :: bit r11 :: object r12 :: i32 r13 :: bit L0: r0 = PySet_New(0) r1 = object 1 r2 = PySet_Add(r0, r1) r3 = r2 >= 0 :: signed r4 = object 2 r5 = PySet_Add(r0, r4) r6 = r5 >= 0 :: signed r7 = _PySet_Update(r0, x) r8 = r7 >= 0 :: signed r9 = _PySet_Update(r0, y) r10 = r9 >= 0 :: signed r11 = object 3 r12 = PySet_Add(r0, r11) r13 = r12 >= 0 :: signed return r0 [case testOperatorInSetLiteral] from typing import Final CONST: Final = "daylily" non_const = 10 def precomputed(i: object) -> bool: return i in {1, 2.0, 1 +2, 4j, "foo", b"bar", CONST, (None, (27,)), (), False} def not_precomputed_non_final_name(i: int) -> bool: return i in {non_const} def not_precomputed_nested_set(i: int) -> bool: return i in {frozenset({1}), 2} [out] def precomputed(i): i :: object r0 :: set r1 :: i32 r2 :: bit r3 :: bool L0: r0 = frozenset({(), (None, (27,)), 1, 2.0, 3, 4j, False, b'bar', 'daylily', 'foo'}) r1 = PySet_Contains(r0, i) r2 = r1 >= 0 :: signed r3 = truncate r1: i32 to builtins.bool return r3 def not_precomputed_non_final_name(i): i :: int r0 :: dict r1 :: str r2 :: object r3 :: int r4 :: set r5 :: object r6 :: i32 r7 :: bit r8 :: object r9 :: i32 r10 :: bit r11 :: bool L0: r0 = __main__.globals :: static r1 = 'non_const' r2 = CPyDict_GetItem(r0, r1) r3 = unbox(int, r2) r4 = PySet_New(0) r5 = box(int, r3) r6 = PySet_Add(r4, r5) r7 = r6 >= 0 :: signed r8 = box(int, i) r9 = PySet_Contains(r4, r8) r10 = r9 >= 0 :: signed r11 = truncate r9: i32 to builtins.bool return r11 def not_precomputed_nested_set(i): i :: int r0 :: set r1 :: object r2 :: i32 r3 :: bit r4 :: frozenset r5 :: set r6 :: i32 r7 :: bit r8 :: object r9 :: i32 r10 :: bit r11 :: object r12 :: i32 r13 :: bit r14 :: bool L0: r0 = PySet_New(0) r1 = object 1 r2 = PySet_Add(r0, r1) r3 = r2 >= 0 :: signed r4 = PyFrozenSet_New(r0) r5 = PySet_New(0) r6 = PySet_Add(r5, r4) r7 = r6 >= 0 :: signed r8 = object 2 r9 = PySet_Add(r5, r8) r10 = r9 >= 0 :: signed r11 = box(int, i) r12 = PySet_Contains(r5, r11) r13 = r12 >= 0 :: signed r14 = truncate r12: i32 to builtins.bool return r14 [case testForSetLiteral] from typing import Final CONST: Final = 10 non_const = 20 def precomputed() -> None: for _ in {"None", "True", "False"}: pass def precomputed2() -> None: for _ in {None, False, 1, 2.0, "4", b"5", (6,), 7j, CONST, CONST + 1}: pass def not_precomputed() -> None: for not_optimized in {non_const}: pass [out] def precomputed(): r0 :: set r1, r2 :: object r3 :: str _ :: object r4 :: bit L0: r0 = frozenset({'False', 'None', 'True'}) r1 = PyObject_GetIter(r0) L1: r2 = PyIter_Next(r1) if is_error(r2) goto L4 else goto L2 L2: r3 = cast(str, r2) _ = r3 L3: goto L1 L4: r4 = CPy_NoErrOccurred() L5: return 1 def precomputed2(): r0 :: set r1, r2, _ :: object r3 :: bit L0: r0 = frozenset({(6,), 1, 10, 11, 2.0, '4', 7j, False, None, b'5'}) r1 = PyObject_GetIter(r0) L1: r2 = PyIter_Next(r1) if is_error(r2) goto L4 else goto L2 L2: _ = r2 L3: goto L1 L4: r3 = CPy_NoErrOccurred() L5: return 1 def not_precomputed(): r0 :: dict r1 :: str r2 :: object r3 :: int r4 :: set r5 :: object r6 :: i32 r7 :: bit r8, r9 :: object r10, not_optimized :: int r11 :: bit L0: r0 = __main__.globals :: static r1 = 'non_const' r2 = CPyDict_GetItem(r0, r1) r3 = unbox(int, r2) r4 = PySet_New(0) r5 = box(int, r3) r6 = PySet_Add(r4, r5) r7 = r6 >= 0 :: signed r8 = PyObject_GetIter(r4) L1: r9 = PyIter_Next(r8) if is_error(r9) goto L4 else goto L2 L2: r10 = unbox(int, r9) not_optimized = r10 L3: goto L1 L4: r11 = CPy_NoErrOccurred() L5: return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-singledispatch.test0000644000175100017510000001640015112307767022641 0ustar00runnerrunner[case testNativeCallsUsedInDispatchFunction] from functools import singledispatch @singledispatch def f(arg) -> bool: return False @f.register def g(arg: int) -> bool: return True [out] def __mypyc_singledispatch_main_function_f__(arg): arg :: object L0: return 0 def f_obj.__init__(__mypyc_self__): __mypyc_self__ :: __main__.f_obj r0, r1 :: dict r2 :: str r3 :: i32 r4 :: bit L0: r0 = PyDict_New() __mypyc_self__.registry = r0 r1 = PyDict_New() r2 = 'dispatch_cache' r3 = PyObject_SetAttr(__mypyc_self__, r2, r1) r4 = r3 >= 0 :: signed return 1 def f_obj.__call__(__mypyc_self__, arg): __mypyc_self__ :: __main__.f_obj arg :: object r0 :: ptr r1 :: object r2 :: dict r3, r4 :: object r5 :: bit r6, r7 :: object r8 :: str r9 :: object r10 :: dict r11 :: object[2] r12 :: object_ptr r13 :: object r14 :: i32 r15 :: bit r16 :: object r17 :: ptr r18 :: object r19 :: bit r20 :: int r21 :: bit r22 :: int r23 :: bool r24 :: object[1] r25 :: object_ptr r26 :: object r27 :: bool L0: r0 = get_element_ptr arg ob_type :: PyObject r1 = borrow load_mem r0 :: builtins.object* keep_alive arg r2 = __mypyc_self__.dispatch_cache r3 = CPyDict_GetWithNone(r2, r1) r4 = load_address _Py_NoneStruct r5 = r3 != r4 if r5 goto L1 else goto L2 :: bool L1: r6 = r3 goto L3 L2: r7 = functools :: module r8 = '_find_impl' r9 = CPyObject_GetAttr(r7, r8) r10 = __mypyc_self__.registry r11 = [r1, r10] r12 = load_address r11 r13 = PyObject_Vectorcall(r9, r12, 2, 0) keep_alive r1, r10 r14 = PyDict_SetItem(r2, r1, r13) r15 = r14 >= 0 :: signed r6 = r13 L3: r16 = load_address PyLong_Type r17 = get_element_ptr r6 ob_type :: PyObject r18 = borrow load_mem r17 :: builtins.object* keep_alive r6 r19 = r18 == r16 if r19 goto L4 else goto L7 :: bool L4: r20 = unbox(int, r6) r21 = int_eq r20, 0 if r21 goto L5 else goto L6 :: bool L5: r22 = unbox(int, arg) r23 = g(r22) return r23 L6: unreachable L7: r24 = [arg] r25 = load_address r24 r26 = PyObject_Vectorcall(r6, r25, 1, 0) keep_alive arg r27 = unbox(bool, r26) return r27 def f_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def f_obj.register(__mypyc_self__, cls, func): __mypyc_self__ :: __main__.f_obj cls, func, r0 :: object L0: r0 = CPySingledispatch_RegisterFunction(__mypyc_self__, cls, func) return r0 def f(arg): arg :: object r0 :: dict r1 :: str r2 :: object r3 :: bool L0: r0 = __main__.globals :: static r1 = 'f' r2 = CPyDict_GetItem(r0, r1) r3 = f_obj.__call__(r2, arg) return r3 def g(arg): arg :: int L0: return 1 [case testCallsToSingledispatchFunctionsAreNative] from functools import singledispatch @singledispatch def f(x: object) -> None: pass def test(): f('a') [out] def __mypyc_singledispatch_main_function_f__(x): x :: object L0: return 1 def f_obj.__init__(__mypyc_self__): __mypyc_self__ :: __main__.f_obj r0, r1 :: dict r2 :: str r3 :: i32 r4 :: bit L0: r0 = PyDict_New() __mypyc_self__.registry = r0 r1 = PyDict_New() r2 = 'dispatch_cache' r3 = PyObject_SetAttr(__mypyc_self__, r2, r1) r4 = r3 >= 0 :: signed return 1 def f_obj.__call__(__mypyc_self__, x): __mypyc_self__ :: __main__.f_obj x :: object r0 :: ptr r1 :: object r2 :: dict r3, r4 :: object r5 :: bit r6, r7 :: object r8 :: str r9 :: object r10 :: dict r11 :: object[2] r12 :: object_ptr r13 :: object r14 :: i32 r15 :: bit r16 :: object r17 :: ptr r18 :: object r19 :: bit r20 :: int r21 :: object[1] r22 :: object_ptr r23 :: object r24 :: None L0: r0 = get_element_ptr x ob_type :: PyObject r1 = borrow load_mem r0 :: builtins.object* keep_alive x r2 = __mypyc_self__.dispatch_cache r3 = CPyDict_GetWithNone(r2, r1) r4 = load_address _Py_NoneStruct r5 = r3 != r4 if r5 goto L1 else goto L2 :: bool L1: r6 = r3 goto L3 L2: r7 = functools :: module r8 = '_find_impl' r9 = CPyObject_GetAttr(r7, r8) r10 = __mypyc_self__.registry r11 = [r1, r10] r12 = load_address r11 r13 = PyObject_Vectorcall(r9, r12, 2, 0) keep_alive r1, r10 r14 = PyDict_SetItem(r2, r1, r13) r15 = r14 >= 0 :: signed r6 = r13 L3: r16 = load_address PyLong_Type r17 = get_element_ptr r6 ob_type :: PyObject r18 = borrow load_mem r17 :: builtins.object* keep_alive r6 r19 = r18 == r16 if r19 goto L4 else goto L5 :: bool L4: r20 = unbox(int, r6) unreachable L5: r21 = [x] r22 = load_address r21 r23 = PyObject_Vectorcall(r6, r22, 1, 0) keep_alive x r24 = unbox(None, r23) return r24 def f_obj.__get__(__mypyc_self__, instance, owner): __mypyc_self__, instance, owner, r0 :: object r1 :: bit r2 :: object L0: r0 = load_address _Py_NoneStruct r1 = instance == r0 if r1 goto L1 else goto L2 :: bool L1: return __mypyc_self__ L2: r2 = PyMethod_New(__mypyc_self__, instance) return r2 def f_obj.register(__mypyc_self__, cls, func): __mypyc_self__ :: __main__.f_obj cls, func, r0 :: object L0: r0 = CPySingledispatch_RegisterFunction(__mypyc_self__, cls, func) return r0 def f(x): x :: object r0 :: dict r1 :: str r2 :: object r3 :: None L0: r0 = __main__.globals :: static r1 = 'f' r2 = CPyDict_GetItem(r0, r1) r3 = f_obj.__call__(r2, x) return r3 def test(): r0 :: str r1 :: None r2 :: object L0: r0 = 'a' r1 = f(r0) r2 = box(None, 1) return r2 [case registerNestedFunctionError] from functools import singledispatch from typing import Any, overload def dec(x: Any) -> Any: return x def f() -> None: @singledispatch # E: Nested singledispatch functions not supported def singledispatch_in_func(x: Any) -> None: pass @dec def g() -> None: @singledispatch # E: Nested singledispatch functions not supported def singledispatch_in_decorated(x: Any) -> None: pass @overload def h(x: int) -> None: pass @overload def h(x: str) -> None: pass def h(x: Any) -> None: @singledispatch # E: Nested singledispatch functions not supported def singledispatch_in_overload(x: Any) -> None: pass @singledispatch def outside(x: Any) -> None: pass def i() -> None: @outside.register # E: Registering nested functions not supported def register_in_func(x: int) -> None: pass @dec def j() -> None: @outside.register # E: Registering nested functions not supported def register_in_decorated(x: int) -> None: pass @overload def k(x: int) -> None: pass @overload def k(x: str) -> None: pass def k(x: Any) -> None: @outside.register # E: Registering nested functions not supported def register_in_overload(x: int) -> None: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-statements.test0000644000175100017510000004405015112307767022031 0ustar00runnerrunner[case testForInRange] def f() -> None: x = 0 for i in range(5): x = x + i [out] def f(): x :: int r0 :: short_int i :: int r1 :: bit r2 :: int r3 :: short_int L0: x = 0 r0 = 0 i = r0 L1: r1 = int_lt r0, 10 if r1 goto L2 else goto L4 :: bool L2: r2 = CPyTagged_Add(x, i) x = r2 L3: r3 = r0 + 2 r0 = r3 i = r3 goto L1 L4: return 1 [case testForInRangeVariableEndIndxe] def f(a: int) -> None: for i in range(a): pass [out] def f(a): a, r0, i :: int r1 :: bit r2 :: int L0: r0 = 0 i = r0 L1: r1 = int_lt r0, a if r1 goto L2 else goto L4 :: bool L2: L3: r2 = CPyTagged_Add(r0, 2) r0 = r2 i = r2 goto L1 L4: return 1 [case testForInNegativeRange] def f() -> None: for i in range(10, 0, -1): pass [out] def f(): r0 :: short_int i :: int r1 :: bit r2 :: short_int L0: r0 = 20 i = r0 L1: r1 = int_gt r0, 0 if r1 goto L2 else goto L4 :: bool L2: L3: r2 = r0 + -2 r0 = r2 i = r2 goto L1 L4: return 1 [case testBreak] def f() -> None: n = 0 while n < 5: break [out] def f(): n :: int r0 :: bit L0: n = 0 L1: r0 = int_lt n, 10 if r0 goto L2 else goto L3 :: bool L2: L3: return 1 [case testBreakFor] def f() -> None: for n in range(5): break [out] def f(): r0 :: short_int n :: int r1 :: bit r2 :: short_int L0: r0 = 0 n = r0 L1: r1 = int_lt r0, 10 if r1 goto L2 else goto L4 :: bool L2: goto L4 L3: r2 = r0 + 2 r0 = r2 n = r2 goto L1 L4: return 1 [case testBreakNested] def f() -> None: n = 0 while n < 5: while n < 4: break break [out] def f(): n :: int r0, r1 :: bit L0: n = 0 L1: r0 = int_lt n, 10 if r0 goto L2 else goto L6 :: bool L2: L3: r1 = int_lt n, 8 if r1 goto L4 else goto L5 :: bool L4: L5: L6: return 1 [case testContinue] def f() -> None: n = 0 while n < 5: continue [out] def f(): n :: int r0 :: bit L0: n = 0 L1: r0 = int_lt n, 10 if r0 goto L2 else goto L3 :: bool L2: goto L1 L3: return 1 [case testContinueFor] def f() -> None: for n in range(5): continue [out] def f(): r0 :: short_int n :: int r1 :: bit r2 :: short_int L0: r0 = 0 n = r0 L1: r1 = int_lt r0, 10 if r1 goto L2 else goto L4 :: bool L2: L3: r2 = r0 + 2 r0 = r2 n = r2 goto L1 L4: return 1 [case testContinueNested] def f() -> None: n = 0 while n < 5: while n < 4: continue continue [out] def f(): n :: int r0, r1 :: bit L0: n = 0 L1: r0 = int_lt n, 10 if r0 goto L2 else goto L6 :: bool L2: L3: r1 = int_lt n, 8 if r1 goto L4 else goto L5 :: bool L4: goto L3 L5: goto L1 L6: return 1 [case testForList] from typing import List def f(ls: List[int]) -> int: y = 0 for x in ls: y = y + x return y [out] def f(ls): ls :: list y :: int r0, r1 :: native_int r2 :: bit r3 :: object r4, x, r5 :: int r6 :: native_int L0: y = 0 r0 = 0 L1: r1 = var_object_size ls r2 = r0 < r1 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = list_get_item_unsafe ls, r0 r4 = unbox(int, r3) x = r4 r5 = CPyTagged_Add(y, x) y = r5 L3: r6 = r0 + 1 r0 = r6 goto L1 L4: return y [case testForDictBasic] from typing import Dict def f(d: Dict[int, int]) -> None: for key in d: d[key] [out] def f(d): d :: dict r0 :: short_int r1 :: native_int r2 :: object r3 :: tuple[bool, short_int, object] r4 :: short_int r5 :: bool r6 :: object r7, key :: int r8, r9 :: object r10 :: int r11, r12 :: bit L0: r0 = 0 r1 = PyDict_Size(d) r2 = CPyDict_GetKeysIter(d) L1: r3 = CPyDict_NextKey(r2, r0) r4 = r3[1] r0 = r4 r5 = r3[0] if r5 goto L2 else goto L4 :: bool L2: r6 = r3[2] r7 = unbox(int, r6) key = r7 r8 = box(int, key) r9 = CPyDict_GetItem(d, r8) r10 = unbox(int, r9) L3: r11 = CPyDict_CheckSize(d, r1) goto L1 L4: r12 = CPy_NoErrOccurred() L5: return 1 [case testForDictContinue] from typing import Dict def sum_over_even_values(d: Dict[int, int]) -> int: s = 0 for key in d: if d[key] % 2: continue s = s + d[key] return s [out] def sum_over_even_values(d): d :: dict s :: int r0 :: short_int r1 :: native_int r2 :: object r3 :: tuple[bool, short_int, object] r4 :: short_int r5 :: bool r6 :: object r7, key :: int r8, r9 :: object r10, r11 :: int r12 :: bit r13, r14 :: object r15, r16 :: int r17, r18 :: bit L0: s = 0 r0 = 0 r1 = PyDict_Size(d) r2 = CPyDict_GetKeysIter(d) L1: r3 = CPyDict_NextKey(r2, r0) r4 = r3[1] r0 = r4 r5 = r3[0] if r5 goto L2 else goto L6 :: bool L2: r6 = r3[2] r7 = unbox(int, r6) key = r7 r8 = box(int, key) r9 = CPyDict_GetItem(d, r8) r10 = unbox(int, r9) r11 = CPyTagged_Remainder(r10, 4) r12 = r11 != 0 if r12 goto L3 else goto L4 :: bool L3: goto L5 L4: r13 = box(int, key) r14 = CPyDict_GetItem(d, r13) r15 = unbox(int, r14) r16 = CPyTagged_Add(s, r15) s = r16 L5: r17 = CPyDict_CheckSize(d, r1) goto L1 L6: r18 = CPy_NoErrOccurred() L7: return s [case testMultipleAssignmentWithNoUnpacking] from typing import Tuple def f(x: int, y: int) -> Tuple[int, int]: x, y = y, x return (x, y) def f2(x: int, y: str, z: float) -> Tuple[float, str, int]: a, b, c = x, y, z return (c, b, a) def f3(x: int, y: int) -> Tuple[int, int]: [x, y] = [y, x] return (x, y) [out] def f(x, y): x, y, r0, r1 :: int r2 :: tuple[int, int] L0: r0 = y r1 = x x = r0 y = r1 r2 = (x, y) return r2 def f2(x, y, z): x :: int y :: str z :: float r0 :: int r1 :: str r2 :: float a :: int b :: str c :: float r3 :: tuple[float, str, int] L0: r0 = x r1 = y r2 = z a = r0 b = r1 c = r2 r3 = (c, b, a) return r3 def f3(x, y): x, y, r0, r1 :: int r2 :: tuple[int, int] L0: r0 = y r1 = x x = r0 y = r1 r2 = (x, y) return r2 [case testMultipleAssignmentBasicUnpacking] from typing import Tuple, Any def from_tuple(t: Tuple[bool, None]) -> None: x, y = t def from_any(a: Any) -> None: x, y = a [out] def from_tuple(t): t :: tuple[bool, None] r0, x :: bool r1, y :: None L0: r0 = t[0] x = r0 r1 = t[1] y = r1 return 1 def from_any(a): a, r0, r1 :: object r2 :: bool x, r3 :: object r4 :: bool y, r5 :: object r6 :: bool L0: r0 = PyObject_GetIter(a) r1 = PyIter_Next(r0) if is_error(r1) goto L1 else goto L2 L1: r2 = raise ValueError('not enough values to unpack') unreachable L2: x = r1 r3 = PyIter_Next(r0) if is_error(r3) goto L3 else goto L4 L3: r4 = raise ValueError('not enough values to unpack') unreachable L4: y = r3 r5 = PyIter_Next(r0) if is_error(r5) goto L6 else goto L5 L5: r6 = raise ValueError('too many values to unpack') unreachable L6: return 1 [case testMultiAssignmentCoercions] from typing import Tuple, Any def from_tuple(t: Tuple[int, Any]) -> None: x: object y: int x, y = t def from_any(a: Any) -> None: x: int x, y = a [out] def from_tuple(t): t :: tuple[int, object] r0 :: int r1 :: object r2 :: int r3, x, r4 :: object r5, y :: int L0: r0 = borrow t[0] r1 = borrow t[1] keep_alive steal t r2 = unborrow r0 r3 = box(int, r2) x = r3 r4 = unborrow r1 r5 = unbox(int, r4) y = r5 return 1 def from_any(a): a, r0, r1 :: object r2 :: bool r3, x :: int r4 :: object r5 :: bool y, r6 :: object r7 :: bool L0: r0 = PyObject_GetIter(a) r1 = PyIter_Next(r0) if is_error(r1) goto L1 else goto L2 L1: r2 = raise ValueError('not enough values to unpack') unreachable L2: r3 = unbox(int, r1) x = r3 r4 = PyIter_Next(r0) if is_error(r4) goto L3 else goto L4 L3: r5 = raise ValueError('not enough values to unpack') unreachable L4: y = r4 r6 = PyIter_Next(r0) if is_error(r6) goto L6 else goto L5 L5: r7 = raise ValueError('too many values to unpack') unreachable L6: return 1 [case testMultiAssignmentNested] from typing import Tuple, Any, List class A: x: int def multi_assign(t: Tuple[int, Tuple[str, Any]], a: A, l: List[str]) -> None: z: int a.x, (l[0], z) = t [out] def multi_assign(t, a, l): t :: tuple[int, tuple[str, object]] a :: __main__.A l :: list r0 :: int r1 :: bool r2 :: tuple[str, object] r3 :: str r4 :: bit r5 :: object r6, z :: int L0: r0 = t[0] a.x = r0; r1 = is_error r2 = t[1] r3 = r2[0] r4 = CPyList_SetItem(l, 0, r3) r5 = r2[1] r6 = unbox(int, r5) z = r6 return 1 [case testMultipleAssignmentUnpackFromSequence] from typing import List, Tuple def f(l: List[int], t: Tuple[int, ...]) -> None: x: object y: int x, y = l x, y = t [out] def f(l, t): l :: list t :: tuple r0 :: i32 r1 :: bit r2, r3, x :: object r4, y :: int r5 :: i32 r6 :: bit r7, r8 :: object r9 :: int L0: r0 = CPySequence_CheckUnpackCount(l, 2) r1 = r0 >= 0 :: signed r2 = list_get_item_unsafe l, 0 r3 = list_get_item_unsafe l, 1 x = r2 r4 = unbox(int, r3) y = r4 r5 = CPySequence_CheckUnpackCount(t, 2) r6 = r5 >= 0 :: signed r7 = CPySequenceTuple_GetItemUnsafe(t, 0) r8 = CPySequenceTuple_GetItemUnsafe(t, 1) x = r7 r9 = unbox(int, r8) y = r9 return 1 [case testAssert] from typing import Optional def no_msg(x: bool) -> int: assert x return 1 def literal_msg(x: object) -> int: assert x, 'message' return 2 def complex_msg(x: Optional[str], s: str) -> None: assert x, s [out] def no_msg(x): x, r0 :: bool L0: if x goto L2 else goto L1 :: bool L1: r0 = raise AssertionError unreachable L2: return 2 def literal_msg(x): x :: object r0 :: i32 r1 :: bit r2, r3 :: bool L0: r0 = PyObject_IsTrue(x) r1 = r0 >= 0 :: signed r2 = truncate r0: i32 to builtins.bool if r2 goto L2 else goto L1 :: bool L1: r3 = raise AssertionError('message') unreachable L2: return 4 def complex_msg(x, s): x :: union[str, None] s :: str r0 :: object r1 :: bit r2 :: str r3 :: bit r4 :: object r5 :: str r6 :: object r7 :: object[1] r8 :: object_ptr r9 :: object L0: r0 = load_address _Py_NoneStruct r1 = x != r0 if r1 goto L1 else goto L2 :: bool L1: r2 = cast(str, x) r3 = CPyStr_IsTrue(r2) if r3 goto L3 else goto L2 :: bool L2: r4 = builtins :: module r5 = 'AssertionError' r6 = CPyObject_GetAttr(r4, r5) r7 = [s] r8 = load_address r7 r9 = PyObject_Vectorcall(r6, r8, 1, 0) keep_alive s CPy_Raise(r9) unreachable L3: return 1 [case testDelList] def delList() -> None: l = [1, 2] del l[1] def delListMultiple() -> None: l = [1, 2, 3, 4, 5, 6, 7] del l[1], l[2], l[3] [out] def delList(): r0 :: list r1, r2 :: object r3 :: ptr l :: list r4 :: object r5 :: i32 r6 :: bit L0: r0 = PyList_New(2) r1 = object 1 r2 = object 2 r3 = list_items r0 buf_init_item r3, 0, r1 buf_init_item r3, 1, r2 keep_alive r0 l = r0 r4 = object 1 r5 = PyObject_DelItem(l, r4) r6 = r5 >= 0 :: signed return 1 def delListMultiple(): r0 :: list r1, r2, r3, r4, r5, r6, r7 :: object r8 :: ptr l :: list r9 :: object r10 :: i32 r11 :: bit r12 :: object r13 :: i32 r14 :: bit r15 :: object r16 :: i32 r17 :: bit L0: r0 = PyList_New(7) r1 = object 1 r2 = object 2 r3 = object 3 r4 = object 4 r5 = object 5 r6 = object 6 r7 = object 7 r8 = list_items r0 buf_init_item r8, 0, r1 buf_init_item r8, 1, r2 buf_init_item r8, 2, r3 buf_init_item r8, 3, r4 buf_init_item r8, 4, r5 buf_init_item r8, 5, r6 buf_init_item r8, 6, r7 keep_alive r0 l = r0 r9 = object 1 r10 = PyObject_DelItem(l, r9) r11 = r10 >= 0 :: signed r12 = object 2 r13 = PyObject_DelItem(l, r12) r14 = r13 >= 0 :: signed r15 = object 3 r16 = PyObject_DelItem(l, r15) r17 = r16 >= 0 :: signed return 1 [case testDelDict] def delDict() -> None: d = {"one":1, "two":2} del d["one"] def delDictMultiple() -> None: d = {"one":1, "two":2, "three":3, "four":4} del d["one"], d["four"] [out] def delDict(): r0, r1 :: str r2, r3 :: object r4, d :: dict r5 :: str r6 :: i32 r7 :: bit L0: r0 = 'one' r1 = 'two' r2 = object 1 r3 = object 2 r4 = CPyDict_Build(2, r0, r2, r1, r3) d = r4 r5 = 'one' r6 = PyObject_DelItem(d, r5) r7 = r6 >= 0 :: signed return 1 def delDictMultiple(): r0, r1, r2, r3 :: str r4, r5, r6, r7 :: object r8, d :: dict r9, r10 :: str r11 :: i32 r12 :: bit r13 :: i32 r14 :: bit L0: r0 = 'one' r1 = 'two' r2 = 'three' r3 = 'four' r4 = object 1 r5 = object 2 r6 = object 3 r7 = object 4 r8 = CPyDict_Build(4, r0, r4, r1, r5, r2, r6, r3, r7) d = r8 r9 = 'one' r10 = 'four' r11 = PyObject_DelItem(d, r9) r12 = r11 >= 0 :: signed r13 = PyObject_DelItem(d, r10) r14 = r13 >= 0 :: signed return 1 [case testDelAttribute] class Dummy(): __deletable__ = ('x', 'y') def __init__(self, x: int, y: int) -> None: self.x = x self.y = y def delAttribute() -> None: dummy = Dummy(1, 2) del dummy.x def delAttributeMultiple() -> None: dummy = Dummy(1, 2) del dummy.x, dummy.y [out] def Dummy.__init__(self, x, y): self :: __main__.Dummy x, y :: int L0: self.x = x self.y = y return 1 def delAttribute(): r0, dummy :: __main__.Dummy r1 :: str r2 :: i32 r3 :: bit L0: r0 = Dummy(2, 4) dummy = r0 r1 = 'x' r2 = PyObject_DelAttr(dummy, r1) r3 = r2 >= 0 :: signed return 1 def delAttributeMultiple(): r0, dummy :: __main__.Dummy r1 :: str r2 :: i32 r3 :: bit r4 :: str r5 :: i32 r6 :: bit L0: r0 = Dummy(2, 4) dummy = r0 r1 = 'x' r2 = PyObject_DelAttr(dummy, r1) r3 = r2 >= 0 :: signed r4 = 'y' r5 = PyObject_DelAttr(dummy, r4) r6 = r5 >= 0 :: signed return 1 [case testForEnumerate] from typing import List, Iterable def f(a: List[int]) -> None: for i, x in enumerate(a): i + x def g(x: Iterable[int]) -> None: for i, n in enumerate(x): pass [out] def f(a): a :: list r0 :: short_int r1, r2 :: native_int r3 :: bit i :: int r4 :: object r5, x, r6 :: int r7 :: short_int r8 :: native_int L0: r0 = 0 r1 = 0 L1: r2 = var_object_size a r3 = r1 < r2 :: signed if r3 goto L2 else goto L4 :: bool L2: i = r0 r4 = list_get_item_unsafe a, r1 r5 = unbox(int, r4) x = r5 r6 = CPyTagged_Add(i, x) L3: r7 = r0 + 2 r0 = r7 r8 = r1 + 1 r1 = r8 goto L1 L4: L5: return 1 def g(x): x :: object r0 :: short_int r1, r2 :: object i, r3, n :: int r4 :: short_int r5 :: bit L0: r0 = 0 r1 = PyObject_GetIter(x) L1: r2 = PyIter_Next(r1) if is_error(r2) goto L4 else goto L2 L2: i = r0 r3 = unbox(int, r2) n = r3 L3: r4 = r0 + 2 r0 = r4 goto L1 L4: r5 = CPy_NoErrOccurred() L5: return 1 [case testForZip] from typing import List, Iterable, Sequence def f(a: List[int], b: Sequence[bool]) -> None: for x, y in zip(a, b): if b: x = 1 def g(a: Iterable[bool], b: List[int]) -> None: for x, y, z in zip(a, b, range(5)): x = False [out] def f(a, b): a :: list b :: object r0 :: native_int r1 :: object r2 :: native_int r3 :: bit r4, r5 :: object r6, x :: int r7, y :: bool r8 :: i32 r9 :: bit r10 :: bool r11 :: native_int r12 :: bit L0: r0 = 0 r1 = PyObject_GetIter(b) L1: r2 = var_object_size a r3 = r0 < r2 :: signed if r3 goto L2 else goto L7 :: bool L2: r4 = PyIter_Next(r1) if is_error(r4) goto L7 else goto L3 L3: r5 = list_get_item_unsafe a, r0 r6 = unbox(int, r5) x = r6 r7 = unbox(bool, r4) y = r7 r8 = PyObject_IsTrue(b) r9 = r8 >= 0 :: signed r10 = truncate r8: i32 to builtins.bool if r10 goto L4 else goto L5 :: bool L4: x = 2 L5: L6: r11 = r0 + 1 r0 = r11 goto L1 L7: r12 = CPy_NoErrOccurred() L8: return 1 def g(a, b): a :: object b :: list r0 :: object r1 :: native_int r2 :: short_int z :: int r3 :: object r4 :: native_int r5, r6 :: bit r7, x :: bool r8 :: object r9, y :: int r10 :: native_int r11 :: short_int r12 :: bit L0: r0 = PyObject_GetIter(a) r1 = 0 r2 = 0 z = r2 L1: r3 = PyIter_Next(r0) if is_error(r3) goto L6 else goto L2 L2: r4 = var_object_size b r5 = r1 < r4 :: signed if r5 goto L3 else goto L6 :: bool L3: r6 = int_lt r2, 10 if r6 goto L4 else goto L6 :: bool L4: r7 = unbox(bool, r3) x = r7 r8 = list_get_item_unsafe b, r1 r9 = unbox(int, r8) y = r9 x = 0 L5: r10 = r1 + 1 r1 = r10 r11 = r2 + 2 r2 = r11 z = r11 goto L1 L6: r12 = CPy_NoErrOccurred() L7: return 1 [case testConditionalFunctionDefinition] if int(): def foo() -> int: return 0 else: def foo() -> int: # E return 1 def bar() -> int: return 0 if int(): def bar() -> int: # E return 1 [out] main:5: error: Duplicate definition of "foo" not supported by mypyc main:12: error: Duplicate definition of "bar" not supported by mypyc [case testRepeatedUnderscoreFunctions] def _(arg): pass def _(arg): pass [out] main:2: error: Duplicate definition of "_" not supported by mypyc ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-str.test0000644000175100017510000004225615112307767020460 0ustar00runnerrunner[case testStrSplit] from typing import NewType, Optional, List, Union NewStr = NewType("NewStr", str) def do_split(s: Union[str, NewStr], sep: Optional[str] = None, max_split: Optional[int] = None) -> List[str]: if sep is not None: if max_split is not None: return s.split(sep, max_split) else: return s.split(sep) return s.split() [typing fixtures/typing-full.pyi] [out] def do_split(s, sep, max_split): s :: str sep :: union[str, None] max_split :: union[int, None] r0, r1, r2 :: object r3 :: bit r4 :: object r5 :: bit r6 :: str r7 :: int r8 :: list r9 :: str r10, r11 :: list L0: if is_error(sep) goto L1 else goto L2 L1: r0 = box(None, 1) sep = r0 L2: if is_error(max_split) goto L3 else goto L4 L3: r1 = box(None, 1) max_split = r1 L4: r2 = load_address _Py_NoneStruct r3 = sep != r2 if r3 goto L5 else goto L9 :: bool L5: r4 = load_address _Py_NoneStruct r5 = max_split != r4 if r5 goto L6 else goto L7 :: bool L6: r6 = cast(str, sep) r7 = unbox(int, max_split) r8 = CPyStr_Split(s, r6, r7) return r8 L7: r9 = cast(str, sep) r10 = PyUnicode_Split(s, r9, -1) return r10 L8: L9: r11 = PyUnicode_Split(s, 0, -1) return r11 [case testStrEquality] from typing import NewType, Union NewStr = NewType("NewStr", str) def eq(x: str, y: str) -> bool: return x == y def neq(x: str, y: Union[str, NewStr]) -> bool: return x != y [typing fixtures/typing-full.pyi] [out] def eq(x, y): x, y :: str r0 :: bool L0: r0 = CPyStr_Equal(x, y) return r0 def neq(x, y): x, y :: str r0 :: bool r1 :: bit L0: r0 = CPyStr_Equal(x, y) r1 = r0 == 0 return r1 [case testStrReplace] from typing import NewType, Optional, Union NewStr = NewType("NewStr", str) def do_replace(s: Union[str, NewStr], old_substr: str, new_substr: str, max_count: Optional[int] = None) -> str: if max_count is not None: return s.replace(old_substr, new_substr, max_count) else: return s.replace(old_substr, new_substr) [typing fixtures/typing-full.pyi] [out] def do_replace(s, old_substr, new_substr, max_count): s, old_substr, new_substr :: str max_count :: union[int, None] r0, r1 :: object r2 :: bit r3 :: int r4, r5 :: str L0: if is_error(max_count) goto L1 else goto L2 L1: r0 = box(None, 1) max_count = r0 L2: r1 = load_address _Py_NoneStruct r2 = max_count != r1 if r2 goto L3 else goto L4 :: bool L3: r3 = unbox(int, max_count) r4 = CPyStr_Replace(s, old_substr, new_substr, r3) return r4 L4: r5 = PyUnicode_Replace(s, old_substr, new_substr, -1) return r5 L5: unreachable [case testStrStartswithEndswithTuple] from typing import NewType, Tuple, Union NewStr = NewType("NewStr", str) def do_startswith(s1: Union[str, NewStr], s2: Tuple[str, ...]) -> bool: return s1.startswith(s2) def do_endswith(s1: Union[str, NewStr], s2: Tuple[str, ...]) -> bool: return s1.endswith(s2) def do_tuple_literal_args(s1: Union[str, NewStr]) -> None: x = s1.startswith(("a", "b")) y = s1.endswith(("a", "b")) [typing fixtures/typing-full.pyi] [out] def do_startswith(s1, s2): s1 :: str s2 :: tuple r0 :: bool L0: r0 = CPyStr_Startswith(s1, s2) return r0 def do_endswith(s1, s2): s1 :: str s2 :: tuple r0 :: bool L0: r0 = CPyStr_Endswith(s1, s2) return r0 def do_tuple_literal_args(s1): s1, r0, r1 :: str r2 :: tuple[str, str] r3 :: object r4, x :: bool r5, r6 :: str r7 :: tuple[str, str] r8 :: object r9, y :: bool L0: r0 = 'a' r1 = 'b' r2 = (r0, r1) r3 = box(tuple[str, str], r2) r4 = CPyStr_Startswith(s1, r3) x = r4 r5 = 'a' r6 = 'b' r7 = (r5, r6) r8 = box(tuple[str, str], r7) r9 = CPyStr_Endswith(s1, r8) y = r9 return 1 [case testStrToBool] from typing import NewType, Union NewStr = NewType("NewStr", str) def is_true(x: Union[str, NewStr]) -> bool: if x: return True else: return False [typing fixtures/typing-full.pyi] [out] def is_true(x): x :: str r0 :: bit L0: r0 = CPyStr_IsTrue(x) if r0 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 L3: unreachable [case testStringFormatMethod] from typing import NewType, Union NewStr = NewType("NewStr", str) def f(s: Union[str, NewStr], num: int) -> None: s1 = "Hi! I'm {}, and I'm {} years old.".format(s, num) s2 = ''.format() s3 = 'abc'.format() s4 = '}}{}{{{}}}{{{}'.format(num, num, num) [typing fixtures/typing-full.pyi] [out] def f(s, num): s :: str num :: int r0, r1, r2, r3, r4, s1, r5, s2, r6, s3, r7, r8, r9, r10, r11, r12, r13, s4 :: str L0: r0 = CPyTagged_Str(num) r1 = "Hi! I'm " r2 = ", and I'm " r3 = ' years old.' r4 = CPyStr_Build(5, r1, s, r2, r0, r3) s1 = r4 r5 = '' s2 = r5 r6 = 'abc' s3 = r6 r7 = CPyTagged_Str(num) r8 = CPyTagged_Str(num) r9 = CPyTagged_Str(num) r10 = '}' r11 = '{' r12 = '}{' r13 = CPyStr_Build(6, r10, r7, r11, r8, r12, r9) s4 = r13 return 1 [case testFStrings_64bit] from typing import NewType, Union NewStr = NewType("NewStr", str) def f(var: Union[str, NewStr], num: int) -> None: s1 = f"Hi! I'm {var}. I am {num} years old." s2 = f'Hello {var:>{num}}' s3 = f'' s4 = f'abc' [typing fixtures/typing-full.pyi] [out] def f(var, num): var :: str num :: int r0, r1, r2, r3, r4, s1, r5, r6, r7, r8, r9, r10, r11 :: str r12 :: object[3] r13 :: object_ptr r14 :: object r15 :: str r16 :: list r17 :: ptr r18, s2, r19, s3, r20, s4 :: str L0: r0 = "Hi! I'm " r1 = '. I am ' r2 = CPyTagged_Str(num) r3 = ' years old.' r4 = CPyStr_Build(5, r0, var, r1, r2, r3) s1 = r4 r5 = '' r6 = 'Hello ' r7 = '{:{}}' r8 = '>' r9 = CPyTagged_Str(num) r10 = CPyStr_Build(2, r8, r9) r11 = 'format' r12 = [r7, var, r10] r13 = load_address r12 r14 = PyObject_VectorcallMethod(r11, r13, 9223372036854775811, 0) keep_alive r7, var, r10 r15 = cast(str, r14) r16 = PyList_New(2) r17 = list_items r16 buf_init_item r17, 0, r6 buf_init_item r17, 1, r15 keep_alive r16 r18 = PyUnicode_Join(r5, r16) s2 = r18 r19 = '' s3 = r19 r20 = 'abc' s4 = r20 return 1 [case testStringFormattingCStyle] from typing import NewType, Union NewStr = NewType("NewStr", str) def f(var: Union[str, NewStr], num: int) -> None: s1 = "Hi! I'm %s." % var s2 = "I am %d years old." % num s3 = "Hi! I'm %s. I am %d years old." % (var, num) s4 = "Float: %f" % num [typing fixtures/typing-full.pyi] [out] def f(var, num): var :: str num :: int r0, r1, r2, s1, r3, r4, r5, r6, s2, r7, r8, r9, r10, r11, s3, r12 :: str r13, r14 :: object r15, s4 :: str L0: r0 = "Hi! I'm " r1 = '.' r2 = CPyStr_Build(3, r0, var, r1) s1 = r2 r3 = CPyTagged_Str(num) r4 = 'I am ' r5 = ' years old.' r6 = CPyStr_Build(3, r4, r3, r5) s2 = r6 r7 = CPyTagged_Str(num) r8 = "Hi! I'm " r9 = '. I am ' r10 = ' years old.' r11 = CPyStr_Build(5, r8, var, r9, r7, r10) s3 = r11 r12 = 'Float: %f' r13 = box(int, num) r14 = PyNumber_Remainder(r12, r13) r15 = cast(str, r14) s4 = r15 return 1 [case testDecode] def f(b: bytes) -> None: b.decode() b.decode('Utf_8') b.decode('utf-8') b.decode('UTF8') b.decode('latin1') b.decode('Latin-1') b.decode('ascii') encoding = 'utf-8' b.decode(encoding) b.decode('utf-8', 'backslashreplace') def variants(b: bytes) -> None: b.decode(encoding="UTF_8") b.decode("ascii", errors="strict") [out] def f(b): b :: bytes r0, r1, r2, r3, r4, r5, r6, r7, encoding, r8, r9, r10, r11 :: str L0: r0 = CPy_DecodeUTF8(b) r1 = CPy_DecodeUTF8(b) r2 = CPy_DecodeUTF8(b) r3 = CPy_DecodeUTF8(b) r4 = CPy_DecodeLatin1(b) r5 = CPy_DecodeLatin1(b) r6 = CPy_DecodeASCII(b) r7 = 'utf-8' encoding = r7 r8 = CPy_Decode(b, encoding, 0) r9 = 'utf-8' r10 = 'backslashreplace' r11 = CPy_Decode(b, r9, r10) return 1 def variants(b): b :: bytes r0, r1 :: str L0: r0 = CPy_DecodeUTF8(b) r1 = CPy_DecodeASCII(b) return 1 [case testEncode_64bit] from typing import NewType, Union NewStr = NewType("NewStr", str) def f(s: Union[str, NewStr]) -> None: s.encode() s.encode('utf-8') s.encode('utf8', 'strict') s.encode('latin1', errors='strict') s.encode(encoding='ascii') s.encode(errors='strict', encoding='latin-1') s.encode('utf-8', 'backslashreplace') s.encode('ascii', 'backslashreplace') encoding = 'utf8' s.encode(encoding) errors = 'strict' s.encode('utf8', errors) s.encode('utf8', errors=errors) s.encode(errors=errors) s.encode(encoding=encoding, errors=errors) s.encode('latin2') [typing fixtures/typing-full.pyi] [out] def f(s): s :: str r0, r1, r2, r3, r4, r5 :: bytes r6, r7 :: str r8 :: bytes r9, r10 :: str r11 :: bytes r12, encoding :: str r13 :: bytes r14, errors, r15 :: str r16 :: bytes r17, r18 :: str r19 :: object[3] r20 :: object_ptr r21, r22 :: object r23 :: str r24 :: object[2] r25 :: object_ptr r26, r27 :: object r28 :: str r29 :: object[3] r30 :: object_ptr r31, r32 :: object r33 :: str r34 :: bytes L0: r0 = PyUnicode_AsUTF8String(s) r1 = PyUnicode_AsUTF8String(s) r2 = PyUnicode_AsUTF8String(s) r3 = PyUnicode_AsLatin1String(s) r4 = PyUnicode_AsASCIIString(s) r5 = PyUnicode_AsLatin1String(s) r6 = 'utf-8' r7 = 'backslashreplace' r8 = CPy_Encode(s, r6, r7) r9 = 'ascii' r10 = 'backslashreplace' r11 = CPy_Encode(s, r9, r10) r12 = 'utf8' encoding = r12 r13 = CPy_Encode(s, encoding, 0) r14 = 'strict' errors = r14 r15 = 'utf8' r16 = CPy_Encode(s, r15, errors) r17 = 'utf8' r18 = 'encode' r19 = [s, r17, errors] r20 = load_address r19 r21 = ('errors',) r22 = PyObject_VectorcallMethod(r18, r20, 9223372036854775810, r21) keep_alive s, r17, errors r23 = 'encode' r24 = [s, errors] r25 = load_address r24 r26 = ('errors',) r27 = PyObject_VectorcallMethod(r23, r25, 9223372036854775809, r26) keep_alive s, errors r28 = 'encode' r29 = [s, encoding, errors] r30 = load_address r29 r31 = ('encoding', 'errors') r32 = PyObject_VectorcallMethod(r28, r30, 9223372036854775809, r31) keep_alive s, encoding, errors r33 = 'latin2' r34 = CPy_Encode(s, r33, 0) return 1 [case testOrd] from typing import NewType, Union NewStr = NewType("NewStr", str) def str_ord(x: Union[str, NewStr]) -> int: return ord(x) def str_ord_literal() -> int: return ord("a") def bytes_ord(x: bytes) -> int: return ord(x) def bytes_ord_literal() -> int: return ord(b"a") def any_ord(x) -> int: return ord(x) [typing fixtures/typing-full.pyi] [out] def str_ord(x): x :: str r0 :: int L0: r0 = CPyStr_Ord(x) return r0 def str_ord_literal(): L0: return 194 def bytes_ord(x): x :: bytes r0 :: int L0: r0 = CPyBytes_Ord(x) return r0 def bytes_ord_literal(): L0: return 194 def any_ord(x): x, r0 :: object r1 :: str r2 :: object r3 :: object[1] r4 :: object_ptr r5 :: object r6 :: int L0: r0 = builtins :: module r1 = 'ord' r2 = CPyObject_GetAttr(r0, r1) r3 = [x] r4 = load_address r3 r5 = PyObject_Vectorcall(r2, r4, 1, 0) keep_alive x r6 = unbox(int, r5) return r6 [case testStrip] from typing import NewType, Union NewStr = NewType("NewStr", str) def do_strip(s: Union[str, NewStr]) -> None: s.lstrip("x") s.strip("y") s.rstrip("z") s.lstrip() s.strip() s.rstrip() [typing fixtures/typing-full.pyi] [out] def do_strip(s): s, r0, r1, r2, r3, r4, r5, r6, r7, r8 :: str L0: r0 = 'x' r1 = CPyStr_LStrip(s, r0) r2 = 'y' r3 = CPyStr_Strip(s, r2) r4 = 'z' r5 = CPyStr_RStrip(s, r4) r6 = CPyStr_LStrip(s, 0) r7 = CPyStr_Strip(s, 0) r8 = CPyStr_RStrip(s, 0) return 1 [case testCountAll_64bit] from typing import NewType, Union NewStr = NewType("NewStr", str) def do_count(s: str) -> int: return s.count("x") [typing fixtures/typing-full.pyi] [out] def do_count(s): s, r0 :: str r1 :: native_int r2, r3, r4 :: bit r5, r6, r7 :: int L0: r0 = 'x' r1 = CPyStr_Count(s, r0, 0) r2 = r1 >= 0 :: signed r3 = r1 <= 4611686018427387903 :: signed if r3 goto L1 else goto L2 :: bool L1: r4 = r1 >= -4611686018427387904 :: signed if r4 goto L3 else goto L2 :: bool L2: r5 = CPyTagged_FromInt64(r1) r6 = r5 goto L4 L3: r7 = r1 << 1 r6 = r7 L4: return r6 [case testCountStart_64bit] from typing import NewType, Union NewStr = NewType("NewStr", str) def do_count(s: str, start: int) -> int: return s.count("x", start) [typing fixtures/typing-full.pyi] [out] def do_count(s, start): s :: str start :: int r0 :: str r1 :: native_int r2, r3, r4 :: bit r5, r6, r7 :: int L0: r0 = 'x' r1 = CPyStr_Count(s, r0, start) r2 = r1 >= 0 :: signed r3 = r1 <= 4611686018427387903 :: signed if r3 goto L1 else goto L2 :: bool L1: r4 = r1 >= -4611686018427387904 :: signed if r4 goto L3 else goto L2 :: bool L2: r5 = CPyTagged_FromInt64(r1) r6 = r5 goto L4 L3: r7 = r1 << 1 r6 = r7 L4: return r6 [case testCountStartEnd_64bit] from typing import NewType, Union NewStr = NewType("NewStr", str) def do_count(s: str, start: int, end: int) -> int: return s.count("x", start, end) [typing fixtures/typing-full.pyi] [out] def do_count(s, start, end): s :: str start, end :: int r0 :: str r1 :: native_int r2, r3, r4 :: bit r5, r6, r7 :: int L0: r0 = 'x' r1 = CPyStr_CountFull(s, r0, start, end) r2 = r1 >= 0 :: signed r3 = r1 <= 4611686018427387903 :: signed if r3 goto L1 else goto L2 :: bool L1: r4 = r1 >= -4611686018427387904 :: signed if r4 goto L3 else goto L2 :: bool L2: r5 = CPyTagged_FromInt64(r1) r6 = r5 goto L4 L3: r7 = r1 << 1 r6 = r7 L4: return r6 [case testFStringFromConstants] from typing import Final string: Final = "abc" integer: Final = 123 floating: Final = 3.14 boolean: Final = True def test(x: str) -> str: return f"{string}{integer}{floating}{boolean}{x}{boolean}{floating}{integer}{string}{x}{string}{integer}{floating}{boolean}" def test2(x: str) -> str: return f"{string}{integer}{floating}{boolean}{x}{boolean}{floating}{integer}{string}{x}{string}{integer}{floating}{boolean}{x}" def test3(x: str) -> str: return f"{x}{string}{integer}{floating}{boolean}{x}{boolean}{floating}{integer}{string}{x}{string}{integer}{floating}{boolean}{x}" [out] def test(x): x, r0, r1, r2, r3 :: str L0: r0 = 'abc1233.14True' r1 = 'True3.14123abc' r2 = 'abc1233.14True' r3 = CPyStr_Build(5, r0, x, r1, x, r2) return r3 def test2(x): x, r0, r1, r2, r3 :: str L0: r0 = 'abc1233.14True' r1 = 'True3.14123abc' r2 = 'abc1233.14True' r3 = CPyStr_Build(6, r0, x, r1, x, r2, x) return r3 def test3(x): x, r0, r1, r2, r3 :: str L0: r0 = 'abc1233.14True' r1 = 'True3.14123abc' r2 = 'abc1233.14True' r3 = CPyStr_Build(7, x, r0, x, r1, x, r2, x) return r3 [case testOptionalStrEquality1] from typing import Optional def opt_opt(x: Optional[str], y: Optional[str]) -> bool: return x == y [out] def opt_opt(x, y): x, y :: union[str, None] r0 :: object r1 :: bit r2 :: object r3 :: bit r4 :: bool r5 :: object r6 :: bit r7, r8 :: str r9 :: bool L0: r0 = load_address _Py_NoneStruct r1 = x == r0 if r1 goto L1 else goto L2 :: bool L1: r2 = load_address _Py_NoneStruct r3 = y == r2 r4 = r3 goto L5 L2: r5 = load_address _Py_NoneStruct r6 = y == r5 if r6 goto L3 else goto L4 :: bool L3: r4 = 0 goto L5 L4: r7 = unchecked borrow cast(str, x) r8 = unchecked borrow cast(str, y) r9 = CPyStr_Equal(r7, r8) r4 = r9 L5: keep_alive x, y return r4 [case testOptionalStrEquality2] from typing import Optional def opt_non_opt(x: Optional[str], y: str) -> bool: return x == y [out] def opt_non_opt(x, y): x :: union[str, None] y :: str r0 :: object r1 :: bit r2 :: bool r3 :: str r4 :: bool L0: r0 = load_address _Py_NoneStruct r1 = x == r0 if r1 goto L1 else goto L2 :: bool L1: r2 = 0 goto L3 L2: r3 = unchecked borrow cast(str, x) r4 = CPyStr_Equal(r3, y) r2 = r4 L3: keep_alive x return r2 [case testStrEqLiteral] from typing import Final literal: Final = "literal" def literal_rhs(x: str) -> bool: return x == literal def literal_lhs(x: str) -> bool: return literal == x def literal_both() -> bool: return literal == "literal" [out] def literal_rhs(x): x, r0 :: str r1 :: bool L0: r0 = 'literal' r1 = CPyStr_EqualLiteral(x, r0, 7) return r1 def literal_lhs(x): x, r0 :: str r1 :: bool L0: r0 = 'literal' r1 = CPyStr_EqualLiteral(x, r0, 7) return r1 def literal_both(): r0, r1 :: str L0: r0 = 'literal' r1 = 'literal' return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-strip-asserts.test0000644000175100017510000000023015112307767022455 0ustar00runnerrunner[case testStripAssert1] def g(): x = 1 + 2 assert x < 5 return x [out] def g(): r0, x :: object L0: r0 = object 3 x = r0 return x ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-try.test0000644000175100017510000002766515112307767020475 0ustar00runnerrunner[case testTryExcept1] def g() -> None: try: object() except: print("weeee") [out] def g(): r0 :: object r1 :: str r2, r3 :: object r4 :: tuple[object, object, object] r5 :: str r6 :: object r7 :: str r8 :: object r9 :: object[1] r10 :: object_ptr r11 :: object r12 :: bit L0: L1: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = PyObject_Vectorcall(r2, 0, 0, 0) goto L5 L2: (handler for L1) r4 = CPy_CatchError() r5 = 'weeee' r6 = builtins :: module r7 = 'print' r8 = CPyObject_GetAttr(r6, r7) r9 = [r5] r10 = load_address r9 r11 = PyObject_Vectorcall(r8, r10, 1, 0) keep_alive r5 L3: CPy_RestoreExcInfo(r4) goto L5 L4: (handler for L2) CPy_RestoreExcInfo(r4) r12 = CPy_KeepPropagating() unreachable L5: return 1 [case testTryExcept2] def g(b: bool) -> None: try: if b: object() else: str('hi') except: print("weeee") [out] def g(b): b :: bool r0 :: object r1 :: str r2, r3 :: object r4, r5 :: str r6 :: tuple[object, object, object] r7 :: str r8 :: object r9 :: str r10 :: object r11 :: object[1] r12 :: object_ptr r13 :: object r14 :: bit L0: L1: if b goto L2 else goto L3 :: bool L2: r0 = builtins :: module r1 = 'object' r2 = CPyObject_GetAttr(r0, r1) r3 = PyObject_Vectorcall(r2, 0, 0, 0) goto L4 L3: r4 = 'hi' r5 = PyObject_Str(r4) L4: goto L8 L5: (handler for L1, L2, L3, L4) r6 = CPy_CatchError() r7 = 'weeee' r8 = builtins :: module r9 = 'print' r10 = CPyObject_GetAttr(r8, r9) r11 = [r7] r12 = load_address r11 r13 = PyObject_Vectorcall(r10, r12, 1, 0) keep_alive r7 L6: CPy_RestoreExcInfo(r6) goto L8 L7: (handler for L5) CPy_RestoreExcInfo(r6) r14 = CPy_KeepPropagating() unreachable L8: return 1 [case testTryExcept3] def g() -> None: try: print('a') try: object() except AttributeError as e: print('b', e) except: print("weeee") [out] def g(): r0 :: str r1 :: object r2 :: str r3 :: object r4 :: object[1] r5 :: object_ptr r6, r7 :: object r8 :: str r9, r10 :: object r11 :: tuple[object, object, object] r12 :: object r13 :: str r14 :: object r15 :: bit r16, e :: object r17 :: str r18 :: object r19 :: str r20 :: object r21 :: object[2] r22 :: object_ptr r23 :: object r24 :: bit r25 :: tuple[object, object, object] r26 :: str r27 :: object r28 :: str r29 :: object r30 :: object[1] r31 :: object_ptr r32 :: object r33 :: bit L0: L1: r0 = 'a' r1 = builtins :: module r2 = 'print' r3 = CPyObject_GetAttr(r1, r2) r4 = [r0] r5 = load_address r4 r6 = PyObject_Vectorcall(r3, r5, 1, 0) keep_alive r0 L2: r7 = builtins :: module r8 = 'object' r9 = CPyObject_GetAttr(r7, r8) r10 = PyObject_Vectorcall(r9, 0, 0, 0) goto L8 L3: (handler for L2) r11 = CPy_CatchError() r12 = builtins :: module r13 = 'AttributeError' r14 = CPyObject_GetAttr(r12, r13) r15 = CPy_ExceptionMatches(r14) if r15 goto L4 else goto L5 :: bool L4: r16 = CPy_GetExcValue() e = r16 r17 = 'b' r18 = builtins :: module r19 = 'print' r20 = CPyObject_GetAttr(r18, r19) r21 = [r17, e] r22 = load_address r21 r23 = PyObject_Vectorcall(r20, r22, 2, 0) keep_alive r17, e goto L6 L5: CPy_Reraise() unreachable L6: CPy_RestoreExcInfo(r11) goto L8 L7: (handler for L3, L4, L5) CPy_RestoreExcInfo(r11) r24 = CPy_KeepPropagating() unreachable L8: goto L12 L9: (handler for L1, L6, L7, L8) r25 = CPy_CatchError() r26 = 'weeee' r27 = builtins :: module r28 = 'print' r29 = CPyObject_GetAttr(r27, r28) r30 = [r26] r31 = load_address r30 r32 = PyObject_Vectorcall(r29, r31, 1, 0) keep_alive r26 L10: CPy_RestoreExcInfo(r25) goto L12 L11: (handler for L9) CPy_RestoreExcInfo(r25) r33 = CPy_KeepPropagating() unreachable L12: return 1 [case testTryExcept4] def g() -> None: try: pass except KeyError: print("weeee") except IndexError: print("yo") [out] def g(): r0 :: tuple[object, object, object] r1 :: object r2 :: str r3 :: object r4 :: bit r5 :: str r6 :: object r7 :: str r8 :: object r9 :: object[1] r10 :: object_ptr r11, r12 :: object r13 :: str r14 :: object r15 :: bit r16 :: str r17 :: object r18 :: str r19 :: object r20 :: object[1] r21 :: object_ptr r22 :: object r23 :: bit L0: L1: goto L9 L2: (handler for L1) r0 = CPy_CatchError() r1 = builtins :: module r2 = 'KeyError' r3 = CPyObject_GetAttr(r1, r2) r4 = CPy_ExceptionMatches(r3) if r4 goto L3 else goto L4 :: bool L3: r5 = 'weeee' r6 = builtins :: module r7 = 'print' r8 = CPyObject_GetAttr(r6, r7) r9 = [r5] r10 = load_address r9 r11 = PyObject_Vectorcall(r8, r10, 1, 0) keep_alive r5 goto L7 L4: r12 = builtins :: module r13 = 'IndexError' r14 = CPyObject_GetAttr(r12, r13) r15 = CPy_ExceptionMatches(r14) if r15 goto L5 else goto L6 :: bool L5: r16 = 'yo' r17 = builtins :: module r18 = 'print' r19 = CPyObject_GetAttr(r17, r18) r20 = [r16] r21 = load_address r20 r22 = PyObject_Vectorcall(r19, r21, 1, 0) keep_alive r16 goto L7 L6: CPy_Reraise() unreachable L7: CPy_RestoreExcInfo(r0) goto L9 L8: (handler for L2, L3, L4, L5, L6) CPy_RestoreExcInfo(r0) r23 = CPy_KeepPropagating() unreachable L9: return 1 [case testTryFinally] def a(b: bool) -> None: try: if b: raise Exception('hi') finally: print('finally') [out] def a(b): b :: bool r0 :: str r1 :: object r2 :: str r3 :: object r4 :: object[1] r5 :: object_ptr r6 :: object r7, r8, r9 :: tuple[object, object, object] r10 :: str r11 :: object r12 :: str r13 :: object r14 :: object[1] r15 :: object_ptr r16 :: object r17 :: bit L0: L1: if b goto L2 else goto L3 :: bool L2: r0 = 'hi' r1 = builtins :: module r2 = 'Exception' r3 = CPyObject_GetAttr(r1, r2) r4 = [r0] r5 = load_address r4 r6 = PyObject_Vectorcall(r3, r5, 1, 0) keep_alive r0 CPy_Raise(r6) unreachable L3: L4: L5: r7 = :: tuple[object, object, object] r8 = r7 goto L7 L6: (handler for L1, L2, L3) r9 = CPy_CatchError() r8 = r9 L7: r10 = 'finally' r11 = builtins :: module r12 = 'print' r13 = CPyObject_GetAttr(r11, r12) r14 = [r10] r15 = load_address r14 r16 = PyObject_Vectorcall(r13, r15, 1, 0) keep_alive r10 if is_error(r8) goto L9 else goto L8 L8: CPy_Reraise() unreachable L9: goto L13 L10: (handler for L7, L8) if is_error(r8) goto L12 else goto L11 L11: CPy_RestoreExcInfo(r8) L12: r17 = CPy_KeepPropagating() unreachable L13: return 1 [case testWith] from typing import Any def foo(x: Any) -> None: with x() as y: print('hello') [out] def foo(x): x, r0, r1 :: object r2 :: str r3 :: object r4 :: str r5 :: object r6 :: object[1] r7 :: object_ptr r8 :: object r9 :: bool y :: object r10 :: str r11 :: object r12 :: str r13 :: object r14 :: object[1] r15 :: object_ptr r16 :: object r17, r18 :: tuple[object, object, object] r19, r20, r21 :: object r22 :: object[4] r23 :: object_ptr r24 :: object r25 :: i32 r26 :: bit r27 :: bool r28 :: bit r29, r30, r31 :: tuple[object, object, object] r32 :: object r33 :: object[4] r34 :: object_ptr r35 :: object r36 :: bit L0: r0 = PyObject_Vectorcall(x, 0, 0, 0) r1 = CPy_TYPE(r0) r2 = '__exit__' r3 = CPyObject_GetAttr(r1, r2) r4 = '__enter__' r5 = CPyObject_GetAttr(r1, r4) r6 = [r0] r7 = load_address r6 r8 = PyObject_Vectorcall(r5, r7, 1, 0) keep_alive r0 r9 = 1 L1: L2: y = r8 r10 = 'hello' r11 = builtins :: module r12 = 'print' r13 = CPyObject_GetAttr(r11, r12) r14 = [r10] r15 = load_address r14 r16 = PyObject_Vectorcall(r13, r15, 1, 0) keep_alive r10 goto L8 L3: (handler for L2) r17 = CPy_CatchError() r9 = 0 r18 = CPy_GetExcInfo() r19 = r18[0] r20 = r18[1] r21 = r18[2] r22 = [r0, r19, r20, r21] r23 = load_address r22 r24 = PyObject_Vectorcall(r3, r23, 4, 0) keep_alive r0, r19, r20, r21 r25 = PyObject_IsTrue(r24) r26 = r25 >= 0 :: signed r27 = truncate r25: i32 to builtins.bool if r27 goto L5 else goto L4 :: bool L4: CPy_Reraise() unreachable L5: L6: CPy_RestoreExcInfo(r17) goto L8 L7: (handler for L3, L4, L5) CPy_RestoreExcInfo(r17) r28 = CPy_KeepPropagating() unreachable L8: L9: L10: r29 = :: tuple[object, object, object] r30 = r29 goto L12 L11: (handler for L1, L6, L7, L8) r31 = CPy_CatchError() r30 = r31 L12: if r9 goto L13 else goto L14 :: bool L13: r32 = load_address _Py_NoneStruct r33 = [r0, r32, r32, r32] r34 = load_address r33 r35 = PyObject_Vectorcall(r3, r34, 4, 0) keep_alive r0, r32, r32, r32 L14: if is_error(r30) goto L16 else goto L15 L15: CPy_Reraise() unreachable L16: goto L20 L17: (handler for L12, L13, L14, L15) if is_error(r30) goto L19 else goto L18 L18: CPy_RestoreExcInfo(r30) L19: r36 = CPy_KeepPropagating() unreachable L20: return 1 [case testWithNativeSimple] class DummyContext: def __enter__(self) -> None: pass def __exit__(self, exc_type, exc_val, exc_tb) -> None: pass def foo(x: DummyContext) -> None: with x: print('hello') [out] def DummyContext.__enter__(self): self :: __main__.DummyContext L0: return 1 def DummyContext.__exit__(self, exc_type, exc_val, exc_tb): self :: __main__.DummyContext exc_type, exc_val, exc_tb :: object L0: return 1 def foo(x): x :: __main__.DummyContext r0 :: None r1 :: bool r2 :: str r3 :: object r4 :: str r5 :: object r6 :: object[1] r7 :: object_ptr r8 :: object r9, r10 :: tuple[object, object, object] r11, r12, r13 :: object r14 :: None r15 :: object r16 :: i32 r17 :: bit r18 :: bool r19 :: bit r20, r21, r22 :: tuple[object, object, object] r23 :: object r24 :: None r25 :: bit L0: r0 = x.__enter__() r1 = 1 L1: L2: r2 = 'hello' r3 = builtins :: module r4 = 'print' r5 = CPyObject_GetAttr(r3, r4) r6 = [r2] r7 = load_address r6 r8 = PyObject_Vectorcall(r5, r7, 1, 0) keep_alive r2 goto L8 L3: (handler for L2) r9 = CPy_CatchError() r1 = 0 r10 = CPy_GetExcInfo() r11 = r10[0] r12 = r10[1] r13 = r10[2] r14 = x.__exit__(r11, r12, r13) r15 = box(None, r14) r16 = PyObject_IsTrue(r15) r17 = r16 >= 0 :: signed r18 = truncate r16: i32 to builtins.bool if r18 goto L5 else goto L4 :: bool L4: CPy_Reraise() unreachable L5: L6: CPy_RestoreExcInfo(r9) goto L8 L7: (handler for L3, L4, L5) CPy_RestoreExcInfo(r9) r19 = CPy_KeepPropagating() unreachable L8: L9: L10: r20 = :: tuple[object, object, object] r21 = r20 goto L12 L11: (handler for L1, L6, L7, L8) r22 = CPy_CatchError() r21 = r22 L12: if r1 goto L13 else goto L14 :: bool L13: r23 = load_address _Py_NoneStruct r24 = x.__exit__(r23, r23, r23) L14: if is_error(r21) goto L16 else goto L15 L15: CPy_Reraise() unreachable L16: goto L20 L17: (handler for L12, L13, L14, L15) if is_error(r21) goto L19 else goto L18 L18: CPy_RestoreExcInfo(r21) L19: r25 = CPy_KeepPropagating() unreachable L20: return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-tuple.test0000644000175100017510000004402015112307767020770 0ustar00runnerrunner[case testTupleGet] from typing import Tuple def f(x: Tuple[Tuple[int, bool], bool]) -> int: return x[0][0] [out] def f(x): x :: tuple[tuple[int, bool], bool] r0 :: tuple[int, bool] r1 :: int L0: r0 = x[0] r1 = r0[0] return r1 [case testTupleNew] from typing import Tuple def f() -> int: t = (True, 1) return t[1] [out] def f(): r0, t :: tuple[bool, int] r1 :: int L0: r0 = (1, 2) t = r0 r1 = t[1] return r1 [case testTupleLen] from typing import Tuple def f(x: Tuple[bool, bool, int]) -> int: return len(x) [out] def f(x): x :: tuple[bool, bool, int] L0: return 6 [case testSequenceTuple] from typing import List def f(x: List[bool]) -> bool: return tuple(x)[1] [out] def f(x): x :: list r0 :: tuple r1 :: object r2 :: bool L0: r0 = PyList_AsTuple(x) r1 = CPySequenceTuple_GetItem(r0, 2) r2 = unbox(bool, r1) return r2 [case testSequenceTupleLen] from typing import Tuple def f(x: Tuple[int, ...]) -> int: return len(x) [out] def f(x): x :: tuple r0 :: native_int r1 :: short_int L0: r0 = var_object_size x r1 = r0 << 1 return r1 [case testSequenceTupleForced] from typing import Tuple def f() -> int: t = (1, 2) # type: Tuple[int, ...] return t[1] [out] def f(): r0 :: tuple[int, int] r1 :: object t :: tuple r2 :: object r3 :: int L0: r0 = (2, 4) r1 = box(tuple[int, int], r0) t = r1 r2 = CPySequenceTuple_GetItem(t, 2) r3 = unbox(int, r2) return r3 [case testTupleDisplay] from typing import Sequence, Tuple def f(x: Sequence[int], y: Sequence[int]) -> Tuple[int, ...]: return (1, 2, *x, *y, 3) [out] def f(x, y): x, y :: object r0 :: list r1, r2 :: object r3 :: ptr r4, r5, r6 :: object r7 :: i32 r8 :: bit r9 :: tuple L0: r0 = PyList_New(2) r1 = object 1 r2 = object 2 r3 = list_items r0 buf_init_item r3, 0, r1 buf_init_item r3, 1, r2 keep_alive r0 r4 = CPyList_Extend(r0, x) r5 = CPyList_Extend(r0, y) r6 = object 3 r7 = PyList_Append(r0, r6) r8 = r7 >= 0 :: signed r9 = PyList_AsTuple(r0) return r9 [case testTupleFor] from typing import Tuple, List def f(xs: Tuple[str, ...]) -> None: for x in xs: pass [out] def f(xs): xs :: tuple r0, r1 :: native_int r2 :: bit r3 :: object r4, x :: str r5 :: native_int L0: r0 = var_object_size xs r1 = 0 L1: r2 = r1 < r0 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = CPySequenceTuple_GetItemUnsafe(xs, r1) r4 = cast(str, r3) x = r4 L3: r5 = r1 + 1 r1 = r5 goto L1 L4: return 1 [case testNamedTupleAttribute] from typing import NamedTuple NT = NamedTuple('NT', [('x', int), ('y', int)]) def f(nt: NT, b: bool) -> int: if b: return nt.x return nt.y [out] def f(nt, b): nt :: tuple b :: bool r0 :: object r1 :: int r2 :: object r3 :: int L0: if b goto L1 else goto L2 :: bool L1: r0 = CPySequenceTuple_GetItem(nt, 0) r1 = unbox(int, r0) return r1 L2: r2 = CPySequenceTuple_GetItem(nt, 2) r3 = unbox(int, r2) return r3 [case testTupleOperatorIn] def f(i: int) -> bool: return i in [1, 2, 3] [out] def f(i): i :: int r0, r1, r2 :: bit r3 :: bool L0: r0 = int_eq i, 2 if r0 goto L4 else goto L1 :: bool L1: r1 = int_eq i, 4 if r1 goto L4 else goto L2 :: bool L2: r2 = int_eq i, 6 if r2 goto L4 else goto L3 :: bool L3: r3 = 0 goto L5 L4: r3 = 1 L5: return r3 [case testTupleOperatorNotIn] def x() -> int: return 1 def y() -> int: return 2 def z() -> int: return 3 def f() -> bool: return z() not in (x(), y()) [out] def x(): L0: return 2 def y(): L0: return 4 def z(): L0: return 6 def f(): r0, r1, r2 :: int r3, r4 :: bit r5 :: bool L0: r0 = z() r1 = x() r2 = y() r3 = int_ne r0, r1 if r3 goto L1 else goto L3 :: bool L1: r4 = int_ne r0, r2 if r4 goto L2 else goto L3 :: bool L2: r5 = 1 goto L4 L3: r5 = 0 L4: return r5 [case testTupleOperatorInFinalTuple] from typing import Final tt: Final = (1, 2) def f(x: int) -> bool: return x in tt [out] def f(x): x :: int r0 :: tuple[int, int] r1 :: bool r2, r3 :: int r4, r5 :: bit r6 :: bool L0: r0 = __main__.tt :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "tt" was not set') unreachable L2: r2 = r0[0] r3 = r0[1] r4 = int_eq x, r2 if r4 goto L5 else goto L3 :: bool L3: r5 = int_eq x, r3 if r5 goto L5 else goto L4 :: bool L4: r6 = 0 goto L6 L5: r6 = 1 L6: return r6 [case testTupleBuiltFromList] def f(val: int) -> bool: return val % 2 == 0 def test() -> None: source = [1, 2, 3] a = tuple(f(x) for x in source) [out] def f(val): val, r0 :: int r1 :: bit L0: r0 = CPyTagged_Remainder(val, 4) r1 = int_eq r0, 0 return r1 def test(): r0 :: list r1, r2, r3 :: object r4 :: ptr source :: list r5 :: native_int r6 :: tuple r7, r8 :: native_int r9 :: bit r10 :: object r11, x :: int r12 :: bool r13 :: object r14 :: native_int a :: tuple L0: r0 = PyList_New(3) r1 = object 1 r2 = object 2 r3 = object 3 r4 = list_items r0 buf_init_item r4, 0, r1 buf_init_item r4, 1, r2 buf_init_item r4, 2, r3 keep_alive r0 source = r0 r5 = var_object_size source r6 = PyTuple_New(r5) r7 = 0 L1: r8 = var_object_size source r9 = r7 < r8 :: signed if r9 goto L2 else goto L4 :: bool L2: r10 = list_get_item_unsafe source, r7 r11 = unbox(int, r10) x = r11 r12 = f(x) r13 = box(bool, r12) CPySequenceTuple_SetItemUnsafe(r6, r7, r13) L3: r14 = r7 + 1 r7 = r14 goto L1 L4: a = r6 return 1 [case testTupleBuiltFromStr] def f2(val: str) -> str: return val + "f2" def test() -> None: source = "abc" a = tuple(f2(x) for x in source) [out] def f2(val): val, r0, r1 :: str L0: r0 = 'f2' r1 = PyUnicode_Concat(val, r0) return r1 def test(): r0, source :: str r1 :: native_int r2 :: bit r3 :: tuple r4 :: native_int r5 :: bit r6, x, r7 :: str r8 :: native_int a :: tuple L0: r0 = 'abc' source = r0 r1 = CPyStr_Size_size_t(source) r2 = r1 >= 0 :: signed r3 = PyTuple_New(r1) r4 = 0 L1: r5 = r4 < r1 :: signed if r5 goto L2 else goto L4 :: bool L2: r6 = CPyStr_GetItemUnsafe(source, r4) x = r6 r7 = f2(x) CPySequenceTuple_SetItemUnsafe(r3, r4, r7) L3: r8 = r4 + 1 r4 = r8 goto L1 L4: a = r3 return 1 [case testTupleBuiltFromStrExpr] def f2(val: str) -> str: return val + "f2" def test() -> None: a = tuple(f2(x) for x in "abc") [out] def f2(val): val, r0, r1 :: str L0: r0 = 'f2' r1 = PyUnicode_Concat(val, r0) return r1 def test(): r0 :: str r1 :: tuple r2 :: native_int r3 :: bit r4, x, r5 :: str r6 :: native_int a :: tuple L0: r0 = 'abc' r1 = PyTuple_New(3) r2 = 0 goto L2 L1: r3 = r2 < 3 :: signed if r3 goto L2 else goto L4 :: bool L2: r4 = CPyStr_GetItemUnsafe(r0, r2) x = r4 r5 = f2(x) CPySequenceTuple_SetItemUnsafe(r1, r2, r5) L3: r6 = r2 + 1 r2 = r6 goto L1 L4: a = r1 return 1 [case testTupleBuiltFromFinalStr] from typing import Final source: Final = "abc" def f2(val: str) -> str: return val + "f2" def test() -> None: a = tuple(f2(x) for x in source) [out] def f2(val): val, r0, r1 :: str L0: r0 = 'f2' r1 = PyUnicode_Concat(val, r0) return r1 def test(): r0 :: str r1 :: tuple r2 :: native_int r3 :: bit r4, x, r5 :: str r6 :: native_int a :: tuple L0: r0 = 'abc' r1 = PyTuple_New(3) r2 = 0 goto L2 L1: r3 = r2 < 3 :: signed if r3 goto L2 else goto L4 :: bool L2: r4 = CPyStr_GetItemUnsafe(r0, r2) x = r4 r5 = f2(x) CPySequenceTuple_SetItemUnsafe(r1, r2, r5) L3: r6 = r2 + 1 r2 = r6 goto L1 L4: a = r1 return 1 [case testTupleBuiltFromBytes_64bit] def f2(val: int) -> int: return val + 2 def test() -> None: source = b"abc" a = tuple(f2(x) for x in source) [out] def f2(val): val, r0 :: int L0: r0 = CPyTagged_Add(val, 4) return r0 def test(): r0, source :: bytes r1 :: native_int r2 :: tuple r3 :: native_int r4, r5, r6 :: bit r7, r8, r9, r10 :: int r11 :: object r12, x, r13 :: int r14 :: object r15 :: native_int a :: tuple L0: r0 = b'abc' source = r0 r1 = var_object_size source r2 = PyTuple_New(r1) r3 = 0 L1: r4 = r3 < r1 :: signed if r4 goto L2 else goto L8 :: bool L2: r5 = r3 <= 4611686018427387903 :: signed if r5 goto L3 else goto L4 :: bool L3: r6 = r3 >= -4611686018427387904 :: signed if r6 goto L5 else goto L4 :: bool L4: r7 = CPyTagged_FromInt64(r3) r8 = r7 goto L6 L5: r9 = r3 << 1 r8 = r9 L6: r10 = CPyBytes_GetItem(source, r8) r11 = box(int, r10) r12 = unbox(int, r11) x = r12 r13 = f2(x) r14 = box(int, r13) CPySequenceTuple_SetItemUnsafe(r2, r3, r14) L7: r15 = r3 + 1 r3 = r15 goto L1 L8: a = r2 return 1 [case testTupleBuiltFromBytesExpr_64bit] def f2(val: int) -> int: return val + 2 def test() -> None: a = tuple(f2(x) for x in b"abc") [out] def f2(val): val, r0 :: int L0: r0 = CPyTagged_Add(val, 4) return r0 def test(): r0 :: bytes r1 :: tuple r2 :: native_int r3, r4, r5 :: bit r6, r7, r8, r9 :: int r10 :: object r11, x, r12 :: int r13 :: object r14 :: native_int a :: tuple L0: r0 = b'abc' r1 = PyTuple_New(3) r2 = 0 goto L2 L1: r3 = r2 < 3 :: signed if r3 goto L2 else goto L8 :: bool L2: r4 = r2 <= 4611686018427387903 :: signed if r4 goto L3 else goto L4 :: bool L3: r5 = r2 >= -4611686018427387904 :: signed if r5 goto L5 else goto L4 :: bool L4: r6 = CPyTagged_FromInt64(r2) r7 = r6 goto L6 L5: r8 = r2 << 1 r7 = r8 L6: r9 = CPyBytes_GetItem(r0, r7) r10 = box(int, r9) r11 = unbox(int, r10) x = r11 r12 = f2(x) r13 = box(int, r12) CPySequenceTuple_SetItemUnsafe(r1, r2, r13) L7: r14 = r2 + 1 r2 = r14 goto L1 L8: a = r1 return 1 [case testTupleBuiltFromFinalBytes_64bit] from typing import Final source: Final = b"abc" def f2(val: int) -> int: return val + 2 def test() -> None: a = tuple(f2(x) for x in source) [out] def f2(val): val, r0 :: int L0: r0 = CPyTagged_Add(val, 4) return r0 def test(): r0 :: bytes r1 :: bool r2 :: native_int r3 :: tuple r4 :: native_int r5, r6, r7 :: bit r8, r9, r10, r11 :: int r12 :: object r13, x, r14 :: int r15 :: object r16 :: native_int a :: tuple L0: r0 = __main__.source :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "source" was not set') unreachable L2: r2 = var_object_size r0 r3 = PyTuple_New(r2) r4 = 0 L3: r5 = r4 < r2 :: signed if r5 goto L4 else goto L10 :: bool L4: r6 = r4 <= 4611686018427387903 :: signed if r6 goto L5 else goto L6 :: bool L5: r7 = r4 >= -4611686018427387904 :: signed if r7 goto L7 else goto L6 :: bool L6: r8 = CPyTagged_FromInt64(r4) r9 = r8 goto L8 L7: r10 = r4 << 1 r9 = r10 L8: r11 = CPyBytes_GetItem(r0, r9) r12 = box(int, r11) r13 = unbox(int, r12) x = r13 r14 = f2(x) r15 = box(int, r14) CPySequenceTuple_SetItemUnsafe(r3, r4, r15) L9: r16 = r4 + 1 r4 = r16 goto L3 L10: a = r3 return 1 [case testTupleBuiltFromFixedLengthTuple] def f(val: int) -> bool: return val % 2 == 0 def test() -> None: source = (1, 2, 3) a = tuple(f(x) for x in source) [out] def f(val): val, r0 :: int r1 :: bit L0: r0 = CPyTagged_Remainder(val, 4) r1 = int_eq r0, 0 return r1 def test(): r0, source :: tuple[int, int, int] r1, r2, r3 :: int r4, r5, r6 :: object r7, r8 :: tuple r9 :: native_int r10 :: bit r11 :: object r12, x :: int r13 :: bool r14 :: object r15 :: native_int a :: tuple L0: r0 = (2, 4, 6) source = r0 r1 = source[0] r2 = source[1] r3 = source[2] r4 = box(int, r1) r5 = box(int, r2) r6 = box(int, r3) r7 = PyTuple_Pack(3, r4, r5, r6) r8 = PyTuple_New(3) r9 = 0 goto L2 L1: r10 = r9 < 3 :: signed if r10 goto L2 else goto L4 :: bool L2: r11 = CPySequenceTuple_GetItemUnsafe(r7, r9) r12 = unbox(int, r11) x = r12 r13 = f(x) r14 = box(bool, r13) CPySequenceTuple_SetItemUnsafe(r8, r9, r14) L3: r15 = r9 + 1 r9 = r15 goto L1 L4: a = r8 return 1 [case testTupleBuiltFromFinalFixedLengthTuple] from typing import Final source: Final = (1, 2, 3) def f(val: int) -> bool: return val % 2 == 0 def test() -> None: a = tuple(f(x) for x in source) [out] def f(val): val, r0 :: int r1 :: bit L0: r0 = CPyTagged_Remainder(val, 4) r1 = int_eq r0, 0 return r1 def test(): r0 :: tuple[int, int, int] r1 :: bool r2, r3, r4 :: int r5, r6, r7 :: object r8, r9 :: tuple r10 :: native_int r11 :: bit r12 :: object r13, x :: int r14 :: bool r15 :: object r16 :: native_int a :: tuple L0: r0 = __main__.source :: static if is_error(r0) goto L1 else goto L2 L1: r1 = raise NameError('value for final name "source" was not set') unreachable L2: r2 = r0[0] r3 = r0[1] r4 = r0[2] r5 = box(int, r2) r6 = box(int, r3) r7 = box(int, r4) r8 = PyTuple_Pack(3, r5, r6, r7) r9 = PyTuple_New(3) r10 = 0 goto L4 L3: r11 = r10 < 3 :: signed if r11 goto L4 else goto L6 :: bool L4: r12 = CPySequenceTuple_GetItemUnsafe(r8, r10) r13 = unbox(int, r12) x = r13 r14 = f(x) r15 = box(bool, r14) CPySequenceTuple_SetItemUnsafe(r9, r10, r15) L5: r16 = r10 + 1 r10 = r16 goto L3 L6: a = r9 return 1 [case testTupleBuiltFromVariableLengthTuple] from typing import Tuple def f(val: bool) -> bool: return not val def test(source: Tuple[bool, ...]) -> None: a = tuple(f(x) for x in source) [out] def f(val): val, r0 :: bool L0: r0 = val ^ 1 return r0 def test(source): source :: tuple r0 :: native_int r1 :: tuple r2 :: native_int r3 :: bit r4 :: object r5, x, r6 :: bool r7 :: object r8 :: native_int a :: tuple L0: r0 = var_object_size source r1 = PyTuple_New(r0) r2 = 0 L1: r3 = r2 < r0 :: signed if r3 goto L2 else goto L4 :: bool L2: r4 = CPySequenceTuple_GetItemUnsafe(source, r2) r5 = unbox(bool, r4) x = r5 r6 = f(x) r7 = box(bool, r6) CPySequenceTuple_SetItemUnsafe(r1, r2, r7) L3: r8 = r2 + 1 r2 = r8 goto L1 L4: a = r1 return 1 [case testTupleBuiltFromStars] from typing import Final abc: Final = "abc" def test() -> None: a = tuple(str(x) for x in [*abc, *"def", *b"ghi", ("j", "k"), *("l", "m", "n")]) [out] def test(): r0, r1 :: str r2 :: bytes r3, r4 :: str r5 :: tuple[str, str] r6, r7, r8 :: str r9 :: tuple[str, str, str] r10 :: list r11, r12, r13, r14 :: object r15 :: i32 r16 :: bit r17, r18 :: object r19 :: tuple r20, r21 :: native_int r22 :: bit r23, x :: object r24 :: str r25 :: native_int a :: tuple L0: r0 = 'abc' r1 = 'def' r2 = b'ghi' r3 = 'j' r4 = 'k' r5 = (r3, r4) r6 = 'l' r7 = 'm' r8 = 'n' r9 = (r6, r7, r8) r10 = PyList_New(0) r11 = CPyList_Extend(r10, r0) r12 = CPyList_Extend(r10, r1) r13 = CPyList_Extend(r10, r2) r14 = box(tuple[str, str], r5) r15 = PyList_Append(r10, r14) r16 = r15 >= 0 :: signed r17 = box(tuple[str, str, str], r9) r18 = CPyList_Extend(r10, r17) r19 = PyTuple_New(13) r20 = 0 goto L2 L1: r21 = var_object_size r10 r22 = r20 < r21 :: signed if r22 goto L2 else goto L4 :: bool L2: r23 = list_get_item_unsafe r10, r20 x = r23 r24 = PyObject_Str(x) CPySequenceTuple_SetItemUnsafe(r19, r20, r24) L3: r25 = r20 + 1 r20 = r25 goto L1 L4: a = r19 return 1 [case testTupleAdd] from typing import Tuple def f(a: Tuple[int, ...], b: Tuple[int, ...]) -> None: c = a + b d = a + (1, 2) def g(a: Tuple[int, int], b: Tuple[int, int]) -> None: c = a + b [out] def f(a, b): a, b, r0, c :: tuple r1 :: tuple[int, int] r2 :: object r3, d :: tuple L0: r0 = PySequence_Concat(a, b) c = r0 r1 = (2, 4) r2 = box(tuple[int, int], r1) r3 = PySequence_Concat(a, r2) d = r3 return 1 def g(a, b): a, b :: tuple[int, int] r0, r1 :: object r2 :: tuple r3, c :: tuple[int, int, int, int] L0: r0 = box(tuple[int, int], a) r1 = box(tuple[int, int], b) r2 = PySequence_Concat(r0, r1) r3 = unbox(tuple[int, int, int, int], r2) c = r3 return 1 [case testTupleMultiply] from typing import Tuple def f(a: Tuple[int]) -> None: b = a * 2 c = 3 * (2,) def g(a: Tuple[int, ...]) -> None: b = a * 2 [out] def f(a): a :: tuple[int] r0 :: object r1 :: tuple r2, b :: tuple[int, int] r3 :: tuple[int] r4 :: object r5 :: tuple r6, c :: tuple[int, int, int] L0: r0 = box(tuple[int], a) r1 = CPySequence_Multiply(r0, 4) r2 = unbox(tuple[int, int], r1) b = r2 r3 = (4) r4 = box(tuple[int], r3) r5 = CPySequence_RMultiply(6, r4) r6 = unbox(tuple[int, int, int], r5) c = r6 return 1 def g(a): a, r0, b :: tuple L0: r0 = CPySequence_Multiply(a, 4) b = r0 return 1 [case testTupleFloatElementComparison] def f(x: tuple[float], y: tuple[float]) -> bool: return x == y [out] def f(x, y): x, y :: tuple[float] r0, r1 :: float r2 :: bit r3 :: bool L0: r0 = x[0] r1 = y[0] r2 = r0 == r1 if not r2 goto L1 else goto L2 :: bool L1: r3 = 0 goto L3 L2: r3 = 1 L3: return r3 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-u8.test0000644000175100017510000002207015112307767020174 0ustar00runnerrunner# Test cases for u8 native ints. Focus on things that are different from i64; no need to # duplicate all i64 test cases here. [case testU8BinaryOp] from mypy_extensions import u8 def add_op(x: u8, y: u8) -> u8: x = y + x y = x + 5 y += x y += 7 x = 5 + y return x def compare(x: u8, y: u8) -> None: a = x == y b = x == 5 c = x < y d = x < 5 e = 5 == x f = 5 < x [out] def add_op(x, y): x, y, r0, r1, r2, r3, r4 :: u8 L0: r0 = y + x x = r0 r1 = x + 5 y = r1 r2 = y + x y = r2 r3 = y + 7 y = r3 r4 = 5 + y x = r4 return x def compare(x, y): x, y :: u8 r0 :: bit a :: bool r1 :: bit b :: bool r2 :: bit c :: bool r3 :: bit d :: bool r4 :: bit e :: bool r5 :: bit f :: bool L0: r0 = x == y a = r0 r1 = x == 5 b = r1 r2 = x < y :: unsigned c = r2 r3 = x < 5 :: unsigned d = r3 r4 = 5 == x e = r4 r5 = 5 < x :: unsigned f = r5 return 1 [case testU8UnaryOp] from mypy_extensions import u8 def unary(x: u8) -> u8: y = -x x = ~y y = +x return y [out] def unary(x): x, r0, y, r1 :: u8 L0: r0 = 0 - x y = r0 r1 = y ^ 255 x = r1 y = x return y [case testU8DivisionByConstant] from mypy_extensions import u8 def div_by_constant(x: u8) -> u8: x = x // 5 x //= 17 return x [out] def div_by_constant(x): x, r0, r1 :: u8 L0: r0 = x / 5 x = r0 r1 = x / 17 x = r1 return x [case testU8ModByConstant] from mypy_extensions import u8 def mod_by_constant(x: u8) -> u8: x = x % 5 x %= 17 return x [out] def mod_by_constant(x): x, r0, r1 :: u8 L0: r0 = x % 5 x = r0 r1 = x % 17 x = r1 return x [case testU8DivModByVariable] from mypy_extensions import u8 def divmod(x: u8, y: u8) -> u8: a = x // y return a % y [out] def divmod(x, y): x, y :: u8 r0 :: bit r1 :: bool r2, a :: u8 r3 :: bit r4 :: bool r5 :: u8 L0: r0 = y == 0 if r0 goto L1 else goto L2 :: bool L1: r1 = raise ZeroDivisionError('integer division or modulo by zero') unreachable L2: r2 = x / y a = r2 r3 = y == 0 if r3 goto L3 else goto L4 :: bool L3: r4 = raise ZeroDivisionError('integer division or modulo by zero') unreachable L4: r5 = a % y return r5 [case testU8BinaryOperationWithOutOfRangeOperand] from mypy_extensions import u8 def out_of_range(x: u8) -> None: x + (-1) (-2) + x x * 256 -1 < x x > -5 x == 1000 x + 255 # OK 255 + x # OK [out] main:4: error: Value -1 is out of range for "u8" main:5: error: Value -2 is out of range for "u8" main:6: error: Value 256 is out of range for "u8" main:7: error: Value -1 is out of range for "u8" main:8: error: Value -5 is out of range for "u8" main:9: error: Value 1000 is out of range for "u8" [case testU8DetectMoreOutOfRangeLiterals] from mypy_extensions import u8 def out_of_range() -> None: a: u8 = 256 b: u8 = -1 f(256) # The following are ok c: u8 = 0 d: u8 = 255 f(0) f(255) def f(x: u8) -> None: pass [out] main:4: error: Value 256 is out of range for "u8" main:5: error: Value -1 is out of range for "u8" main:6: error: Value 256 is out of range for "u8" [case testU8BoxAndUnbox] from typing import Any from mypy_extensions import u8 def f(x: Any) -> Any: y: u8 = x return y [out] def f(x): x :: object r0, y :: u8 r1 :: object L0: r0 = unbox(u8, x) y = r0 r1 = box(u8, y) return r1 [case testU8MixedCompare1] from mypy_extensions import u8 def f(x: int, y: u8) -> bool: return x == y [out] def f(x, y): x :: int y :: u8 r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: u8 r7 :: bit L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 512 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= 0 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to u8 r6 = r5 goto L5 L4: CPyUInt8_Overflow() unreachable L5: r7 = r6 == y return r7 [case testU8MixedCompare2] from mypy_extensions import u8 def f(x: u8, y: int) -> bool: return x == y [out] def f(x, y): x :: u8 y :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: u8 r7 :: bit L0: r0 = y & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = y < 512 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = y >= 0 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = y >> 1 r5 = truncate r4: native_int to u8 r6 = r5 goto L5 L4: CPyUInt8_Overflow() unreachable L5: r7 = x == r6 return r7 [case testU8ConvertToInt] from mypy_extensions import u8 def u8_to_int(a: u8) -> int: return a [out] def u8_to_int(a): a :: u8 r0 :: native_int r1 :: int L0: r0 = extend a: u8 to native_int r1 = r0 << 1 return r1 [case testU8OperatorAssignmentMixed] from mypy_extensions import u8 def f(a: u8) -> None: x = 0 x += a [out] def f(a): a :: u8 x :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6, r7 :: u8 r8 :: native_int r9 :: int L0: x = 0 r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 512 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= 0 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to u8 r6 = r5 goto L5 L4: CPyUInt8_Overflow() unreachable L5: r7 = r6 + a r8 = extend r7: u8 to native_int r9 = r8 << 1 x = r9 return 1 [case testU8InitializeFromLiteral] from mypy_extensions import u8, i64 def f() -> None: x: u8 = 0 y: u8 = 255 z: u8 = 5 + 7 [out] def f(): x, y, z :: u8 L0: x = 0 y = 255 z = 12 return 1 [case testU8ExplicitConversionFromNativeInt] from mypy_extensions import i64, i32, i16, u8 def from_u8(x: u8) -> u8: return u8(x) def from_i16(x: i16) -> u8: return u8(x) def from_i32(x: i32) -> u8: return u8(x) def from_i64(x: i64) -> u8: return u8(x) [out] def from_u8(x): x :: u8 L0: return x def from_i16(x): x :: i16 r0 :: u8 L0: r0 = truncate x: i16 to u8 return r0 def from_i32(x): x :: i32 r0 :: u8 L0: r0 = truncate x: i32 to u8 return r0 def from_i64(x): x :: i64 r0 :: u8 L0: r0 = truncate x: i64 to u8 return r0 [case testU8ExplicitConversionToNativeInt] from mypy_extensions import i64, i32, i16, u8 def to_i16(x: u8) -> i16: return i16(x) def to_i32(x: u8) -> i32: return i32(x) def to_i64(x: u8) -> i64: return i64(x) [out] def to_i16(x): x :: u8 r0 :: i16 L0: r0 = extend x: u8 to i16 return r0 def to_i32(x): x :: u8 r0 :: i32 L0: r0 = extend x: u8 to i32 return r0 def to_i64(x): x :: u8 r0 :: i64 L0: r0 = extend x: u8 to i64 return r0 [case testU8ExplicitConversionFromInt] from mypy_extensions import u8 def f(x: int) -> u8: return u8(x) [out] def f(x): x :: int r0 :: native_int r1, r2, r3 :: bit r4 :: native_int r5, r6 :: u8 L0: r0 = x & 1 r1 = r0 == 0 if r1 goto L1 else goto L4 :: bool L1: r2 = x < 512 :: signed if r2 goto L2 else goto L4 :: bool L2: r3 = x >= 0 :: signed if r3 goto L3 else goto L4 :: bool L3: r4 = x >> 1 r5 = truncate r4: native_int to u8 r6 = r5 goto L5 L4: CPyUInt8_Overflow() unreachable L5: return r6 [case testU8ExplicitConversionFromLiteral] from mypy_extensions import u8 def f() -> None: x = u8(0) y = u8(11) z = u8(-3) # Truncate zz = u8(258) # Truncate a = u8(255) [out] def f(): x, y, z, zz, a :: u8 L0: x = 0 y = 11 z = 253 zz = 2 a = 255 return 1 [case testU8ExplicitConversionFromVariousTypes] from mypy_extensions import u8 def bool_to_u8(b: bool) -> u8: return u8(b) def str_to_u8(s: str) -> u8: return u8(s) class C: def __int__(self) -> u8: return 5 def instance_to_u8(c: C) -> u8: return u8(c) def float_to_u8(x: float) -> u8: return u8(x) [out] def bool_to_u8(b): b :: bool r0 :: u8 L0: r0 = extend b: builtins.bool to u8 return r0 def str_to_u8(s): s :: str r0 :: object r1 :: u8 L0: r0 = CPyLong_FromStr(s) r1 = unbox(u8, r0) return r1 def C.__int__(self): self :: __main__.C L0: return 5 def instance_to_u8(c): c :: __main__.C r0 :: u8 L0: r0 = c.__int__() return r0 def float_to_u8(x): x :: float r0 :: int r1 :: native_int r2, r3, r4 :: bit r5 :: native_int r6, r7 :: u8 L0: r0 = CPyTagged_FromFloat(x) r1 = r0 & 1 r2 = r1 == 0 if r2 goto L1 else goto L4 :: bool L1: r3 = r0 < 512 :: signed if r3 goto L2 else goto L4 :: bool L2: r4 = r0 >= 0 :: signed if r4 goto L3 else goto L4 :: bool L3: r5 = r0 >> 1 r6 = truncate r5: native_int to u8 r7 = r6 goto L5 L4: CPyUInt8_Overflow() unreachable L5: return r7 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-unreachable.test0000644000175100017510000000674115112307767022120 0ustar00runnerrunner# Test cases for unreachable expressions and statements [case testUnreachableMemberExpr] import sys def f() -> None: y = sys.platform == "x" and sys.version_info > (3, 5) [out] def f(): r0 :: object r1 :: str r2 :: object r3, r4 :: str r5, r6, r7 :: bool r8 :: object r9, y :: bool L0: r0 = sys :: module r1 = 'platform' r2 = CPyObject_GetAttr(r0, r1) r3 = cast(str, r2) r4 = 'x' r5 = CPyStr_EqualLiteral(r3, r4, 1) if r5 goto L2 else goto L1 :: bool L1: r6 = r5 goto L3 L2: r7 = raise RuntimeError('mypyc internal error: should be unreachable') r8 = box(None, 1) r9 = unbox(bool, r8) r6 = r9 L3: y = r6 return 1 [case testUnreachableNameExpr] import sys def f() -> None: y = sys.platform == 'x' and foobar [out] def f(): r0 :: object r1 :: str r2 :: object r3, r4 :: str r5, r6, r7 :: bool r8 :: object r9, y :: bool L0: r0 = sys :: module r1 = 'platform' r2 = CPyObject_GetAttr(r0, r1) r3 = cast(str, r2) r4 = 'x' r5 = CPyStr_EqualLiteral(r3, r4, 1) if r5 goto L2 else goto L1 :: bool L1: r6 = r5 goto L3 L2: r7 = raise RuntimeError('mypyc internal error: should be unreachable') r8 = box(None, 1) r9 = unbox(bool, r8) r6 = r9 L3: y = r6 return 1 [case testUnreachableStatementAfterReturn] def f(x: bool) -> int: if x: return 1 f(False) return 2 [out] def f(x): x :: bool L0: if x goto L1 else goto L2 :: bool L1: return 2 L2: return 4 [case testUnreachableStatementAfterContinue] def c() -> bool: return False def f() -> None: n = True while n: if c(): continue if int(): f() n = False [out] def c(): L0: return 0 def f(): n, r0 :: bool L0: n = 1 L1: if n goto L2 else goto L5 :: bool L2: r0 = c() if r0 goto L3 else goto L4 :: bool L3: goto L1 L4: n = 0 goto L1 L5: return 1 [case testUnreachableStatementAfterBreak] def c() -> bool: return False def f() -> None: n = True while n: if c(): break if int(): f() n = False [out] def c(): L0: return 0 def f(): n, r0 :: bool L0: n = 1 L1: if n goto L2 else goto L5 :: bool L2: r0 = c() if r0 goto L3 else goto L4 :: bool L3: goto L5 L4: n = 0 goto L1 L5: return 1 [case testUnreachableStatementAfterRaise] def f(x: bool) -> int: if x: raise ValueError() print('hello') return 2 [out] def f(x): x :: bool r0 :: object r1 :: str r2, r3 :: object L0: if x goto L1 else goto L2 :: bool L1: r0 = builtins :: module r1 = 'ValueError' r2 = CPyObject_GetAttr(r0, r1) r3 = PyObject_Vectorcall(r2, 0, 0, 0) CPy_Raise(r3) unreachable L2: return 4 [case testUnreachableStatementAfterAssertFalse] def f(x: bool) -> int: if x: assert False print('hello') return 2 [out] def f(x): x, r0 :: bool r1 :: str r2 :: object r3 :: str r4 :: object r5 :: object[1] r6 :: object_ptr r7 :: object L0: if x goto L1 else goto L4 :: bool L1: if 0 goto L3 else goto L2 :: bool L2: r0 = raise AssertionError unreachable L3: r1 = 'hello' r2 = builtins :: module r3 = 'print' r4 = CPyObject_GetAttr(r2, r3) r5 = [r1] r6 = load_address r5 r7 = PyObject_Vectorcall(r4, r6, 1, 0) keep_alive r1 L4: return 4 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-vectorcall.test0000644000175100017510000000470515112307767022003 0ustar00runnerrunner-- Test cases for calls using the vectorcall API (Python 3.8+) -- -- Vectorcalls are faster than the legacy API, especially with keyword arguments, -- since there is no need to allocate a temporary dictionary for keyword args. [case testeVectorcallBasic] from typing import Any def f(c: Any) -> None: c() c('x', 'y') [out] def f(c): c, r0 :: object r1, r2 :: str r3 :: object[2] r4 :: object_ptr r5 :: object L0: r0 = PyObject_Vectorcall(c, 0, 0, 0) r1 = 'x' r2 = 'y' r3 = [r1, r2] r4 = load_address r3 r5 = PyObject_Vectorcall(c, r4, 2, 0) keep_alive r1, r2 return 1 [case testVectorcallKeywords] from typing import Any def f(c: Any) -> None: c(x='a') c('x', a='y', b='z') [out] def f(c): c :: object r0 :: str r1 :: object[1] r2 :: object_ptr r3, r4 :: object r5, r6, r7 :: str r8 :: object[3] r9 :: object_ptr r10, r11 :: object L0: r0 = 'a' r1 = [r0] r2 = load_address r1 r3 = ('x',) r4 = PyObject_Vectorcall(c, r2, 0, r3) keep_alive r0 r5 = 'x' r6 = 'y' r7 = 'z' r8 = [r5, r6, r7] r9 = load_address r8 r10 = ('a', 'b') r11 = PyObject_Vectorcall(c, r9, 1, r10) keep_alive r5, r6, r7 return 1 [case testVectorcallMethod_64bit] from typing import Any def f(o: Any) -> None: # Python 3.9 has a new API for calling methods o.m('x') o.m('x', 'y', a='z') [out] def f(o): o :: object r0, r1 :: str r2 :: object[2] r3 :: object_ptr r4 :: object r5, r6, r7, r8 :: str r9 :: object[4] r10 :: object_ptr r11, r12 :: object L0: r0 = 'x' r1 = 'm' r2 = [o, r0] r3 = load_address r2 r4 = PyObject_VectorcallMethod(r1, r3, 9223372036854775810, 0) keep_alive o, r0 r5 = 'x' r6 = 'y' r7 = 'z' r8 = 'm' r9 = [o, r5, r6, r7] r10 = load_address r9 r11 = ('a',) r12 = PyObject_VectorcallMethod(r8, r10, 9223372036854775811, r11) keep_alive o, r5, r6, r7 return 1 [case testVectorcallMethod_32bit] from typing import Any def f(o: Any) -> None: # The IR is slightly different on 32-bit platforms o.m('x', a='y') [out] def f(o): o :: object r0, r1, r2 :: str r3 :: object[3] r4 :: object_ptr r5, r6 :: object L0: r0 = 'x' r1 = 'y' r2 = 'm' r3 = [o, r0, r1] r4 = load_address r3 r5 = ('a',) r6 = PyObject_VectorcallMethod(r2, r4, 2147483650, r5) keep_alive o, r0, r1 return 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/irbuild-weakref.test0000644000175100017510000000362715112307767021273 0ustar00runnerrunner[case testWeakrefRef] import weakref from typing import Any, Callable def f(x: object) -> object: return weakref.ref(x) [out] def f(x): x, r0 :: object L0: r0 = PyWeakref_NewRef(x, 0) return r0 [case testWeakrefRefCallback] import weakref from typing import Any, Callable def f(x: object, cb: Callable[[object], Any]) -> object: return weakref.ref(x, cb) [out] def f(x, cb): x, cb, r0 :: object L0: r0 = PyWeakref_NewRef(x, cb) return r0 [case testFromWeakrefRef] from typing import Any, Callable from weakref import ref def f(x: object) -> object: return ref(x) [out] def f(x): x, r0 :: object L0: r0 = PyWeakref_NewRef(x, 0) return r0 [case testFromWeakrefRefCallback] from typing import Any, Callable from weakref import ref def f(x: object, cb: Callable[[object], Any]) -> object: return ref(x, cb) [out] def f(x, cb): x, cb, r0 :: object L0: r0 = PyWeakref_NewRef(x, cb) return r0 [case testWeakrefProxy] import weakref from typing import Any, Callable def f(x: object) -> object: return weakref.proxy(x) [out] def f(x): x, r0 :: object L0: r0 = PyWeakref_NewProxy(x, 0) return r0 [case testWeakrefProxyCallback] import weakref from typing import Any, Callable def f(x: object, cb: Callable[[object], Any]) -> object: return weakref.proxy(x, cb) [out] def f(x, cb): x, cb, r0 :: object L0: r0 = PyWeakref_NewProxy(x, cb) return r0 [case testFromWeakrefProxy] from typing import Any, Callable from weakref import proxy def f(x: object) -> object: return proxy(x) [out] def f(x): x, r0 :: object L0: r0 = PyWeakref_NewProxy(x, 0) return r0 [case testFromWeakrefProxyCallback] from typing import Any, Callable from weakref import proxy def f(x: object, cb: Callable[[object], Any]) -> object: return proxy(x, cb) [out] def f(x, cb): x, cb, r0 :: object L0: r0 = PyWeakref_NewProxy(x, cb) return r0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/lowering-int.test0000644000175100017510000001456715112307767020642 0ustar00runnerrunner-- Test cases for converting high-level IR to lower-level IR (lowering). [case testLowerIntEq] def f(x: int, y: int) -> int: if x == y: return 1 else: return 2 [out] def f(x, y): x, y :: int r0 :: native_int r1, r2, r3 :: bit L0: r0 = x & 1 r1 = r0 != 0 if r1 goto L1 else goto L2 :: bool L1: r2 = CPyTagged_IsEq_(x, y) if r2 goto L3 else goto L4 :: bool L2: r3 = x == y if r3 goto L3 else goto L4 :: bool L3: return 2 L4: return 4 [case testLowerIntNe] def f(x: int, y: int) -> int: if x != y: return 1 else: return 2 [out] def f(x, y): x, y :: int r0 :: native_int r1, r2, r3, r4 :: bit L0: r0 = x & 1 r1 = r0 != 0 if r1 goto L1 else goto L2 :: bool L1: r2 = CPyTagged_IsEq_(x, y) r3 = r2 ^ 1 if r3 goto L3 else goto L4 :: bool L2: r4 = x != y if r4 goto L3 else goto L4 :: bool L3: return 2 L4: return 4 [case testLowerIntEqWithConstant] def f(x: int, y: int) -> int: if x == 2: return 1 elif -1 == x: return 2 return 3 [out] def f(x, y): x, y :: int r0, r1 :: bit L0: r0 = x == 4 if r0 goto L1 else goto L2 :: bool L1: return 2 L2: r1 = -2 == x if r1 goto L3 else goto L4 :: bool L3: return 4 L4: return 6 [case testLowerIntNeWithConstant] def f(x: int, y: int) -> int: if x != 2: return 1 elif -1 != x: return 2 return 3 [out] def f(x, y): x, y :: int r0, r1 :: bit L0: r0 = x != 4 if r0 goto L1 else goto L2 :: bool L1: return 2 L2: r1 = -2 != x if r1 goto L3 else goto L4 :: bool L3: return 4 L4: return 6 [case testLowerIntEqValueContext] def f(x: int, y: int) -> bool: return x == y [out] def f(x, y): x, y :: int r0 :: native_int r1, r2 :: bit r3 :: bool r4 :: bit L0: r0 = x & 1 r1 = r0 != 0 if r1 goto L1 else goto L2 :: bool L1: r2 = CPyTagged_IsEq_(x, y) r3 = r2 goto L3 L2: r4 = x == y r3 = r4 L3: return r3 [case testLowerIntLt] def f(x: int, y: int) -> int: if x < y: return 1 else: return 2 [out] def f(x, y): x, y :: int r0 :: native_int r1 :: bit r2 :: native_int r3, r4, r5 :: bit L0: r0 = x & 1 r1 = r0 != 0 if r1 goto L2 else goto L1 :: bool L1: r2 = y & 1 r3 = r2 != 0 if r3 goto L2 else goto L3 :: bool L2: r4 = CPyTagged_IsLt_(x, y) if r4 goto L4 else goto L5 :: bool L3: r5 = x < y :: signed if r5 goto L4 else goto L5 :: bool L4: return 2 L5: return 4 [case testLowerIntLe] def f(x: int, y: int) -> int: if x <= y: return 1 else: return 2 [out] def f(x, y): x, y :: int r0 :: native_int r1 :: bit r2 :: native_int r3, r4, r5, r6 :: bit L0: r0 = x & 1 r1 = r0 != 0 if r1 goto L2 else goto L1 :: bool L1: r2 = y & 1 r3 = r2 != 0 if r3 goto L2 else goto L3 :: bool L2: r4 = CPyTagged_IsLt_(y, x) r5 = r4 ^ 1 if r5 goto L4 else goto L5 :: bool L3: r6 = x <= y :: signed if r6 goto L4 else goto L5 :: bool L4: return 2 L5: return 4 [case testLowerIntGt] def f(x: int, y: int) -> int: if x > y: return 1 else: return 2 [out] def f(x, y): x, y :: int r0 :: native_int r1 :: bit r2 :: native_int r3, r4, r5 :: bit L0: r0 = x & 1 r1 = r0 != 0 if r1 goto L2 else goto L1 :: bool L1: r2 = y & 1 r3 = r2 != 0 if r3 goto L2 else goto L3 :: bool L2: r4 = CPyTagged_IsLt_(y, x) if r4 goto L4 else goto L5 :: bool L3: r5 = x > y :: signed if r5 goto L4 else goto L5 :: bool L4: return 2 L5: return 4 [case testLowerIntGe] def f(x: int, y: int) -> int: if x >= y: return 1 else: return 2 [out] def f(x, y): x, y :: int r0 :: native_int r1 :: bit r2 :: native_int r3, r4, r5, r6 :: bit L0: r0 = x & 1 r1 = r0 != 0 if r1 goto L2 else goto L1 :: bool L1: r2 = y & 1 r3 = r2 != 0 if r3 goto L2 else goto L3 :: bool L2: r4 = CPyTagged_IsLt_(x, y) r5 = r4 ^ 1 if r5 goto L4 else goto L5 :: bool L3: r6 = x >= y :: signed if r6 goto L4 else goto L5 :: bool L4: return 2 L5: return 4 [case testLowerIntLtShort] def both() -> int: if 3 < 5: return 1 else: return 2 def rhs_only(x: int) -> int: if x < 5: return 1 else: return 2 def lhs_only(x: int) -> int: if 5 < x: return 1 else: return 2 [out] def both(): r0 :: bit L0: r0 = 6 < 10 :: signed if r0 goto L1 else goto L2 :: bool L1: return 2 L2: return 4 def rhs_only(x): x :: int r0 :: native_int r1 :: bit r2 :: native_int r3, r4, r5 :: bit L0: r0 = x & 1 r1 = r0 != 0 if r1 goto L2 else goto L1 :: bool L1: r2 = 10 & 1 r3 = r2 != 0 if r3 goto L2 else goto L3 :: bool L2: r4 = CPyTagged_IsLt_(x, 10) if r4 goto L4 else goto L5 :: bool L3: r5 = x < 10 :: signed if r5 goto L4 else goto L5 :: bool L4: return 2 L5: return 4 def lhs_only(x): x :: int r0 :: native_int r1 :: bit r2 :: native_int r3, r4, r5 :: bit L0: r0 = 10 & 1 r1 = r0 != 0 if r1 goto L2 else goto L1 :: bool L1: r2 = x & 1 r3 = r2 != 0 if r3 goto L2 else goto L3 :: bool L2: r4 = CPyTagged_IsLt_(10, x) if r4 goto L4 else goto L5 :: bool L3: r5 = 10 < x :: signed if r5 goto L4 else goto L5 :: bool L4: return 2 L5: return 4 [case testLowerIntForLoop_64bit] from __future__ import annotations def f(l: list[int]) -> None: for x in l: pass [out] def f(l): l :: list r0 :: native_int r1 :: ptr r2 :: native_int r3 :: bit r4, r5 :: ptr r6 :: native_int r7 :: ptr r8 :: object r9, x :: int r10 :: native_int r11 :: None L0: r0 = 0 L1: r1 = get_element_ptr l ob_size :: PyVarObject r2 = load_mem r1 :: native_int* r3 = r0 < r2 :: signed if r3 goto L2 else goto L5 :: bool L2: r4 = get_element_ptr l ob_item :: PyListObject r5 = load_mem r4 :: ptr* r6 = r0 * 8 r7 = r5 + r6 r8 = load_mem r7 :: builtins.object* r9 = unbox(int, r8) dec_ref r8 if is_error(r9) goto L6 (error at f:4) else goto L3 L3: x = r9 dec_ref x :: int L4: r10 = r0 + 1 r0 = r10 goto L1 L5: return 1 L6: r11 = :: None return r11 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/lowering-list.test0000644000175100017510000000126215112307767021007 0ustar00runnerrunner[case testLowerListDisplay] def f() -> None: a = [4, 6, 7] [out] def f(): r0 :: list r1, r2, r3 :: object r4, r5, r6, r7 :: ptr a :: list r8 :: None L0: r0 = PyList_New(3) if is_error(r0) goto L2 (error at f:2) else goto L1 L1: r1 = object 4 r2 = object 6 r3 = object 7 r4 = get_element_ptr r0 ob_item :: PyListObject r5 = load_mem r4 :: ptr* inc_ref r1 set_mem r5, r1 :: builtins.object* inc_ref r2 r6 = r5 + WORD_SIZE*1 set_mem r6, r2 :: builtins.object* inc_ref r3 r7 = r5 + WORD_SIZE*2 set_mem r7, r3 :: builtins.object* a = r0 dec_ref a return 1 L2: r8 = :: None return r8 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/opt-copy-propagation.test0000644000175100017510000001362415112307767022310 0ustar00runnerrunner-- Test cases for copy propagation optimization. This also tests IR transforms in general, -- as copy propagation was the first IR transform that was implemented. [case testCopyPropagationSimple] def g() -> int: return 1 def f() -> int: y = g() return y [out] def g(): L0: return 2 def f(): r0 :: int L0: r0 = g() return r0 [case testCopyPropagationChain] def f(x: int) -> int: y = x z = y return z [out] def f(x): x :: int L0: return x [case testCopyPropagationChainPartial] def f(x: int) -> int: y = x z = y x = 2 return z [out] def f(x): x, y :: int L0: y = x x = 4 return y [case testCopyPropagationChainBad] def f(x: int) -> int: y = x z = y y = 2 return z [out] def f(x): x, y, z :: int L0: y = x z = y y = 4 return z [case testCopyPropagationMutatedSource1] def f(x: int) -> int: y = x x = 1 return y [out] def f(x): x, y :: int L0: y = x x = 2 return y [case testCopyPropagationMutatedSource2] def f() -> int: z = 1 y = z z = 2 return y [out] def f(): z, y :: int L0: z = 2 y = z z = 4 return y [case testCopyPropagationTooComplex] def f(b: bool, x: int) -> int: if b: y = x return y else: y = 1 return y [out] def f(b, x): b :: bool x, y :: int L0: if b goto L1 else goto L2 :: bool L1: y = x return y L2: y = 2 return y [case testCopyPropagationArg] def f(x: int) -> int: x = 2 return x [out] def f(x): x :: int L0: x = 4 return x [case testCopyPropagationPartiallyDefined1] def f(b: bool) -> int: if b: x = 1 y = x return y [out] def f(b): b :: bool r0, x :: int r1 :: bool y :: int L0: r0 = :: int x = r0 if b goto L1 else goto L2 :: bool L1: x = 2 L2: if is_error(x) goto L3 else goto L4 L3: r1 = raise UnboundLocalError('local variable "x" referenced before assignment') unreachable L4: y = x return y -- The remaining test cases test basic IRTransform functionality and are not -- all needed for testing copy propagation as such. [case testIRTransformBranch] from mypy_extensions import i64 def f(x: bool) -> int: y = x if y: return 1 else: return 2 [out] def f(x): x :: bool L0: if x goto L1 else goto L2 :: bool L1: return 2 L2: return 4 [case testIRTransformAssignment] def f(b: bool, x: int) -> int: y = x if b: return y else: return 1 [out] def f(b, x): b :: bool x :: int L0: if b goto L1 else goto L2 :: bool L1: return x L2: return 2 [case testIRTransformRegisterOps1] from __future__ import annotations from typing import cast class C: a: int def m(self, x: int) -> None: pass def get_attr(x: C) -> int: y = x return y.a def set_attr(x: C) -> None: y = x y.a = 1 def tuple_get(x: tuple[int, int]) -> int: y = x return y[0] def tuple_set(x: int, xx: int) -> tuple[int, int]: y = x z = xx return y, z def call(x: int) -> int: y = x return call(y) def method_call(c: C, x: int) -> None: y = x c.m(y) def cast_op(x: object) -> str: y = x return cast(str, y) def box(x: int) -> object: y = x return y def unbox(x: object) -> int: y = x return cast(int, y) def call_c(x: list[str]) -> None: y = x y.append("x") def keep_alive(x: C) -> int: y = x return y.a + 1 [out] def C.m(self, x): self :: __main__.C x :: int L0: return 1 def get_attr(x): x :: __main__.C r0 :: int L0: r0 = x.a return r0 def set_attr(x): x :: __main__.C r0 :: bool L0: x.a = 2; r0 = is_error return 1 def tuple_get(x): x :: tuple[int, int] r0 :: int L0: r0 = x[0] return r0 def tuple_set(x, xx): x, xx :: int r0 :: tuple[int, int] L0: r0 = (x, xx) return r0 def call(x): x, r0 :: int L0: r0 = call(x) return r0 def method_call(c, x): c :: __main__.C x :: int r0 :: None L0: r0 = c.m(x) return 1 def cast_op(x): x :: object r0 :: str L0: r0 = cast(str, x) return r0 def box(x): x :: int r0 :: object L0: r0 = box(int, x) return r0 def unbox(x): x :: object r0 :: int L0: r0 = unbox(int, x) return r0 def call_c(x): x :: list r0 :: str r1 :: i32 r2 :: bit L0: r0 = 'x' r1 = PyList_Append(x, r0) r2 = r1 >= 0 :: signed return 1 def keep_alive(x): x :: __main__.C r0, r1 :: int L0: r0 = borrow x.a r1 = CPyTagged_Add(r0, 2) keep_alive x return r1 [case testIRTransformRegisterOps2] from mypy_extensions import i32, i64 def truncate(x: i64) -> i32: y = x return i32(y) def extend(x: i32) -> i64: y = x return i64(y) def int_op(x: i64, xx: i64) -> i64: y = x z = xx return y + z def comparison_op(x: i64, xx: i64) -> bool: y = x z = xx return y == z def float_op(x: float, xx: float) -> float: y = x z = xx return y + z def float_neg(x: float) -> float: y = x return -y def float_comparison_op(x: float, xx: float) -> bool: y = x z = xx return y == z [out] def truncate(x): x :: i64 r0 :: i32 L0: r0 = truncate x: i64 to i32 return r0 def extend(x): x :: i32 r0 :: i64 L0: r0 = extend signed x: i32 to i64 return r0 def int_op(x, xx): x, xx, r0 :: i64 L0: r0 = x + xx return r0 def comparison_op(x, xx): x, xx :: i64 r0 :: bit L0: r0 = x == xx return r0 def float_op(x, xx): x, xx, r0 :: float L0: r0 = x + xx return r0 def float_neg(x): x, r0 :: float L0: r0 = -x return r0 def float_comparison_op(x, xx): x, xx :: float r0 :: bit L0: r0 = x == xx return r0 -- Note that transforms of these ops aren't tested here: -- * LoadMem -- * SetMem -- * GetElementPtr -- * LoadAddress -- * Unborrow ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/opt-flag-elimination.test0000644000175100017510000001063215112307767022230 0ustar00runnerrunner-- Test cases for "flag elimination" optimization. Used to optimize away -- registers that are always used immediately after assignment as branch conditions. [case testFlagEliminationSimple] def c() -> bool: return True def d() -> bool: return True def f(x: bool) -> int: if x: b = c() else: b = d() if b: return 1 else: return 2 [out] def c(): L0: return 1 def d(): L0: return 1 def f(x): x, r0, r1 :: bool L0: if x goto L1 else goto L2 :: bool L1: r0 = c() if r0 goto L3 else goto L4 :: bool L2: r1 = d() if r1 goto L3 else goto L4 :: bool L3: return 2 L4: return 4 [case testFlagEliminationOneAssignment] def c() -> bool: return True def f(x: bool) -> int: # Not applied here b = c() if b: return 1 else: return 2 [out] def c(): L0: return 1 def f(x): x, r0, b :: bool L0: r0 = c() b = r0 if b goto L1 else goto L2 :: bool L1: return 2 L2: return 4 [case testFlagEliminationThreeCases] def c(x: int) -> bool: return True def f(x: bool, y: bool) -> int: if x: b = c(1) elif y: b = c(2) else: b = c(3) if b: return 1 else: return 2 [out] def c(x): x :: int L0: return 1 def f(x, y): x, y, r0, r1, r2 :: bool L0: if x goto L1 else goto L2 :: bool L1: r0 = c(2) if r0 goto L5 else goto L6 :: bool L2: if y goto L3 else goto L4 :: bool L3: r1 = c(4) if r1 goto L5 else goto L6 :: bool L4: r2 = c(6) if r2 goto L5 else goto L6 :: bool L5: return 2 L6: return 4 [case testFlagEliminationAssignmentNotLastOp] def f(x: bool) -> int: y = 0 if x: b = True y = 1 else: b = False if b: return 1 else: return 2 [out] def f(x): x :: bool y :: int b :: bool L0: y = 0 if x goto L1 else goto L2 :: bool L1: b = 1 y = 2 goto L3 L2: b = 0 L3: if b goto L4 else goto L5 :: bool L4: return 2 L5: return 4 [case testFlagEliminationAssignmentNoDirectGoto] def f(x: bool) -> int: if x: b = True else: b = False if x: if b: return 1 else: return 2 return 4 [out] def f(x): x, b :: bool L0: if x goto L1 else goto L2 :: bool L1: b = 1 goto L3 L2: b = 0 L3: if x goto L4 else goto L7 :: bool L4: if b goto L5 else goto L6 :: bool L5: return 2 L6: return 4 L7: return 8 [case testFlagEliminationBranchNotNextOpAfterGoto] def f(x: bool) -> int: if x: b = True else: b = False y = 1 # Prevents the optimization if b: return 1 else: return 2 [out] def f(x): x, b :: bool y :: int L0: if x goto L1 else goto L2 :: bool L1: b = 1 goto L3 L2: b = 0 L3: y = 2 if b goto L4 else goto L5 :: bool L4: return 2 L5: return 4 [case testFlagEliminationFlagReadTwice] def f(x: bool) -> bool: if x: b = True else: b = False if b: return b # Prevents the optimization else: return False [out] def f(x): x, b :: bool L0: if x goto L1 else goto L2 :: bool L1: b = 1 goto L3 L2: b = 0 L3: if b goto L4 else goto L5 :: bool L4: return b L5: return 0 [case testFlagEliminationArgumentNotEligible] def f(x: bool, b: bool) -> bool: if x: b = True else: b = False if b: return True else: return False [out] def f(x, b): x, b :: bool L0: if x goto L1 else goto L2 :: bool L1: b = 1 goto L3 L2: b = 0 L3: if b goto L4 else goto L5 :: bool L4: return 1 L5: return 0 [case testFlagEliminationFlagNotAlwaysDefined] def f(x: bool, y: bool) -> bool: if x: b = True elif y: b = False else: bb = False # b not assigned here -> can't optimize if b: return True else: return False [out] def f(x, y): x, y, r0, b, bb, r1 :: bool L0: r0 = :: bool b = r0 if x goto L1 else goto L2 :: bool L1: b = 1 goto L5 L2: if y goto L3 else goto L4 :: bool L3: b = 0 goto L5 L4: bb = 0 L5: if is_error(b) goto L6 else goto L7 L6: r1 = raise UnboundLocalError('local variable "b" referenced before assignment') unreachable L7: if b goto L8 else goto L9 :: bool L8: return 1 L9: return 0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/refcount.test0000644000175100017510000005626115112307767020046 0ustar00runnerrunner-- Test cases for reference count insertion. [case testReturnLiteral] def f() -> int: return 1 [out] def f(): L0: return 2 [case testReturnLocal] def f() -> int: x = 1 return x [out] def f(): x :: int L0: x = 2 return x [case testLocalVars] def f() -> int: x = 1 y = x x = y return x [out] def f(): x, y :: int L0: x = 2 y = x x = y return x [case testLocalVars2] def f() -> int: x = 1 y = x z = x return y + z [out] def f(): x, y, z, r0 :: int L0: x = 2 inc_ref x :: int y = x z = x r0 = CPyTagged_Add(y, z) dec_ref y :: int dec_ref z :: int return r0 [case testFreeAtReturn] def f() -> int: x = 1 y = 2 if x == 1: return x return y [out] def f(): x, y :: int r0 :: bit L0: x = 2 y = 4 r0 = int_eq x, 2 if r0 goto L3 else goto L4 :: bool L1: return x L2: return y L3: dec_ref y :: int goto L1 L4: dec_ref x :: int goto L2 [case testArgumentsInOps] def f(a: int, b: int) -> int: x = a + 1 y = x + a return y [out] def f(a, b): a, b, r0, x, r1, y :: int L0: r0 = CPyTagged_Add(a, 2) x = r0 r1 = CPyTagged_Add(x, a) dec_ref x :: int y = r1 return y [case testArgumentsInAssign] def f(a: int) -> int: x = a y = a x = 1 return x + y [out] def f(a): a, x, y, r0 :: int L0: inc_ref a :: int x = a dec_ref x :: int inc_ref a :: int y = a x = 2 r0 = CPyTagged_Add(x, y) dec_ref x :: int dec_ref y :: int return r0 [case testAssignToArgument1] def f(a: int) -> int: a = 1 y = a return y [out] def f(a): a, y :: int L0: a = 2 y = a return y [case testAssignToArgument2] def f(a: int) -> int: a = 1 a = 2 a = 3 return a [out] def f(a): a :: int L0: a = 2 dec_ref a :: int a = 4 dec_ref a :: int a = 6 return a [case testAssignToArgument3] def f(a: int) -> int: x = 1 a = x y = x return a [out] def f(a): a, x, y :: int L0: x = 2 inc_ref x :: int a = x y = x dec_ref y :: int return a [case testReturnArgument] def f(a: int) -> int: return a [out] def f(a): a :: int L0: inc_ref a :: int return a [case testConditionalAssignToArgument1] def f(a: int) -> int: if a == a: a = 1 else: x = 2 y = a + 1 return y [out] def f(a): a :: int r0 :: bit x, r1, y :: int L0: r0 = int_eq a, a if r0 goto L1 else goto L2 :: bool L1: a = 2 goto L3 L2: x = 4 dec_ref x :: int goto L4 L3: r1 = CPyTagged_Add(a, 2) dec_ref a :: int y = r1 return y L4: inc_ref a :: int goto L3 [case testConditionalAssignToArgument2] def f(a: int) -> int: if a == a: x = 2 else: a = 1 y = a + 1 return y [out] def f(a): a :: int r0 :: bit x, r1, y :: int L0: r0 = int_eq a, a if r0 goto L1 else goto L2 :: bool L1: x = 4 dec_ref x :: int goto L4 L2: a = 2 L3: r1 = CPyTagged_Add(a, 2) dec_ref a :: int y = r1 return y L4: inc_ref a :: int goto L3 [case testConditionalAssignToArgument3] def f(a: int) -> int: if a == a: a = 1 return a [out] def f(a): a :: int r0 :: bit L0: r0 = int_eq a, a if r0 goto L1 else goto L3 :: bool L1: a = 2 L2: return a L3: inc_ref a :: int goto L2 [case testAssignRegisterToItself] def f(a: int) -> int: a = a x = 1 x = x return x + a -- This is correct but bad code [out] def f(a): a, x, r0 :: int L0: inc_ref a :: int a = a x = 2 inc_ref x :: int dec_ref x :: int x = x r0 = CPyTagged_Add(x, a) dec_ref x :: int dec_ref a :: int return r0 [case testIncrement1] def f(a: int) -> int: a = a + 1 x = 1 x = x + 1 return a + x [out] def f(a): a, r0, x, r1, r2 :: int L0: r0 = CPyTagged_Add(a, 2) a = r0 x = 2 r1 = CPyTagged_Add(x, 2) dec_ref x :: int x = r1 r2 = CPyTagged_Add(a, x) dec_ref a :: int dec_ref x :: int return r2 [case testIncrement2] def f() -> None: x = 1 x = x + 1 [out] def f(): x, r0 :: int L0: x = 2 r0 = CPyTagged_Add(x, 2) dec_ref x :: int x = r0 dec_ref x :: int return 1 [case testAdd1] def f() -> None: y = 1 x = y + 1 [out] def f(): y, r0, x :: int L0: y = 2 r0 = CPyTagged_Add(y, 2) dec_ref y :: int x = r0 dec_ref x :: int return 1 [case testAdd2] def f(a: int) -> int: a = a + a x = a x = x + x return x [out] def f(a): a, r0, x, r1 :: int L0: r0 = CPyTagged_Add(a, a) a = r0 x = a r1 = CPyTagged_Add(x, x) dec_ref x :: int x = r1 return x [case testAdd3] def f(a: int) -> int: x = a + a y = x + x return y [out] def f(a): a, r0, x, r1, y :: int L0: r0 = CPyTagged_Add(a, a) x = r0 r1 = CPyTagged_Add(x, x) dec_ref x :: int y = r1 return y [case testAdd4] def f(a: int) -> None: x = a + a y = 1 z = y + y [out] def f(a): a, r0, x, y, r1, z :: int L0: r0 = CPyTagged_Add(a, a) x = r0 dec_ref x :: int y = 2 r1 = CPyTagged_Add(y, y) dec_ref y :: int z = r1 dec_ref z :: int return 1 [case testAdd5] def f(a: int) -> None: a = a + a x = 1 x = x + x [out] def f(a): a, r0, x, r1 :: int L0: r0 = CPyTagged_Add(a, a) a = r0 dec_ref a :: int x = 2 r1 = CPyTagged_Add(x, x) dec_ref x :: int x = r1 dec_ref x :: int return 1 [case testReturnInMiddleOfFunction] def f() -> int: x = 1 y = 2 z = 3 if z == z: return z a = 1 return x + y - a [out] def f(): x, y, z :: int r0 :: bit a, r1, r2 :: int L0: x = 2 y = 4 z = 6 r0 = int_eq z, z if r0 goto L3 else goto L4 :: bool L1: return z L2: a = 2 r1 = CPyTagged_Add(x, y) dec_ref x :: int dec_ref y :: int r2 = CPyTagged_Subtract(r1, a) dec_ref r1 :: int dec_ref a :: int return r2 L3: dec_ref x :: int dec_ref y :: int goto L1 L4: dec_ref z :: int goto L2 [case testLoop] def f(a: int) -> int: sum = 0 i = 0 while i <= a: sum = sum + i i = i + 1 return sum [out] def f(a): a, sum, i :: int r0 :: bit r1, r2 :: int L0: sum = 0 i = 0 L1: r0 = int_le i, a if r0 goto L2 else goto L4 :: bool L2: r1 = CPyTagged_Add(sum, i) dec_ref sum :: int sum = r1 r2 = CPyTagged_Add(i, 2) dec_ref i :: int i = r2 goto L1 L3: return sum L4: dec_ref i :: int goto L3 [case testCall] def f(a: int) -> int: return f(a + 1) [out] def f(a): a, r0, r1 :: int L0: r0 = CPyTagged_Add(a, 2) r1 = f(r0) dec_ref r0 :: int return r1 [case testError] def f(x: List[int]) -> None: pass # E: Name "List" is not defined \ # N: Did you forget to import it from "typing"? (Suggestion: "from typing import List") [case testNewList] def f() -> int: a = [0, 1] return 0 [out] def f(): r0 :: list r1, r2 :: object r3 :: ptr a :: list L0: r0 = PyList_New(2) r1 = object 0 r2 = object 1 r3 = list_items r0 inc_ref r1 buf_init_item r3, 0, r1 inc_ref r2 buf_init_item r3, 1, r2 a = r0 dec_ref a return 0 [case testListSet] from typing import List def f(a: List[int], b: List[int]) -> None: a[0] = b[0] [out] def f(a, b): a, b :: list r0 :: object r1 :: int r2 :: object r3 :: bit L0: r0 = CPyList_GetItemShort(b, 0) r1 = unbox(int, r0) dec_ref r0 r2 = box(int, r1) r3 = CPyList_SetItem(a, 0, r2) return 1 [case testTupleRefcount] from typing import Tuple def f(x: Tuple[Tuple[int, bool], bool]) -> int: return x[0][0] [out] def f(x): x :: tuple[tuple[int, bool], bool] r0 :: tuple[int, bool] r1 :: int L0: r0 = x[0] r1 = r0[0] dec_ref r0 return r1 [case testUserClassRefCount] class C: x: 'C' def f() -> None: c = C() c.x = C() [out] def f(): r0, c, r1 :: __main__.C r2 :: bool L0: r0 = C() c = r0 r1 = C() c.x = r1; r2 = is_error dec_ref c return 1 [case testCastRefCount] class C: pass def f() -> None: a = [C()] d = a[0] [out] def f(): r0 :: __main__.C r1 :: list r2 :: ptr a :: list r3 :: object r4, d :: __main__.C L0: r0 = C() r1 = PyList_New(1) r2 = list_items r1 buf_init_item r2, 0, r0 a = r1 r3 = CPyList_GetItemShort(a, 0) dec_ref a r4 = cast(__main__.C, r3) d = r4 dec_ref d return 1 [case testUnaryBranchSpecialCase] def f(x: bool) -> int: if x: return 1 return 2 [out] def f(x): x :: bool L0: if x goto L1 else goto L2 :: bool L1: return 2 L2: return 4 [case testReturnTuple] from typing import Tuple class C: pass def f() -> Tuple[C, C]: a = C() b = C() return a, b [out] def f(): r0, a, r1, b :: __main__.C r2 :: tuple[__main__.C, __main__.C] L0: r0 = C() a = r0 r1 = C() b = r1 r2 = (a, b) return r2 [case testDecomposeTuple] from typing import Tuple class C: a: int def f() -> int: x, y = g() return x.a + y.a def g() -> Tuple[C, C]: return C(), C() [out] def f(): r0 :: tuple[__main__.C, __main__.C] r1, r2, r3, x, r4, y :: __main__.C r5, r6, r7 :: int L0: r0 = g() r1 = borrow r0[0] r2 = borrow r0[1] r3 = unborrow r1 x = r3 r4 = unborrow r2 y = r4 r5 = borrow x.a r6 = borrow y.a r7 = CPyTagged_Add(r5, r6) dec_ref x dec_ref y return r7 def g(): r0, r1 :: __main__.C r2 :: tuple[__main__.C, __main__.C] L0: r0 = C() r1 = C() r2 = (r0, r1) return r2 [case testUnicodeLiteral] def f() -> str: return "some string" [out] def f(): r0 :: str L0: r0 = 'some string' inc_ref r0 return r0 [case testPyMethodCall] def g(x: str) -> int: return int(x, base=2) [out] def g(x): x :: str r0, r1 :: object r2 :: object[2] r3 :: object_ptr r4, r5 :: object r6 :: int L0: r0 = load_address PyLong_Type r1 = object 2 r2 = [x, r1] r3 = load_address r2 r4 = ('base',) r5 = PyObject_Vectorcall(r0, r3, 1, r4) r6 = unbox(int, r5) dec_ref r5 return r6 [case testListAppend] from typing import List def f(a: List[int], x: int) -> None: a.append(x) [out] def f(a, x): a :: list x :: int r0 :: object r1 :: i32 r2 :: bit L0: inc_ref x :: int r0 = box(int, x) r1 = PyList_Append(a, r0) dec_ref r0 r2 = r1 >= 0 :: signed return 1 [case testForDict] from typing import Dict def f(d: Dict[int, int]) -> None: for key in d: d[key] [out] def f(d): d :: dict r0 :: short_int r1 :: native_int r2 :: object r3 :: tuple[bool, short_int, object] r4 :: short_int r5 :: bool r6 :: object r7, key :: int r8, r9 :: object r10 :: int r11, r12 :: bit L0: r0 = 0 r1 = PyDict_Size(d) r2 = CPyDict_GetKeysIter(d) L1: r3 = CPyDict_NextKey(r2, r0) r4 = r3[1] r0 = r4 r5 = r3[0] if r5 goto L2 else goto L6 :: bool L2: r6 = r3[2] dec_ref r3 r7 = unbox(int, r6) dec_ref r6 key = r7 r8 = box(int, key) r9 = CPyDict_GetItem(d, r8) dec_ref r8 r10 = unbox(int, r9) dec_ref r9 dec_ref r10 :: int L3: r11 = CPyDict_CheckSize(d, r1) goto L1 L4: r12 = CPy_NoErrOccurred() L5: return 1 L6: dec_ref r2 dec_ref r3 goto L4 [case testBorrowRefs] def make_garbage(arg: object) -> None: b = True while b: arg = None b = False [out] def make_garbage(arg): arg :: object b :: bool r0 :: object L0: b = 1 L1: if b goto L2 else goto L3 :: bool L2: r0 = box(None, 1) inc_ref r0 arg = r0 dec_ref arg b = 0 goto L1 L3: return 1 [case testTupleUnpackUnused] from typing import Tuple def f(x: Tuple[str, int]) -> int: a, xi = x return 0 [out] def f(x): x :: tuple[str, int] r0 :: str r1 :: int r2, a :: str r3, xi :: int L0: r0 = borrow x[0] r1 = borrow x[1] inc_ref x r2 = unborrow r0 a = r2 dec_ref a r3 = unborrow r1 xi = r3 dec_ref xi :: int return 0 [case testGetElementPtrLifeTime] from typing import List def f() -> int: x: List[str] = [] return len(x) [out] def f(): r0, x :: list r1 :: native_int r2 :: short_int L0: r0 = PyList_New(0) x = r0 r1 = var_object_size x dec_ref x r2 = r1 << 1 return r2 [case testSometimesUninitializedVariable] def f(x: bool) -> int: if x: y = 1 else: z = 2 return y + z [out] def f(x): x :: bool r0, y, r1, z :: int r2, r3 :: bool r4 :: int L0: r0 = :: int y = r0 r1 = :: int z = r1 if x goto L8 else goto L9 :: bool L1: y = 2 goto L3 L2: z = 4 L3: if is_error(y) goto L10 else goto L5 L4: r2 = raise UnboundLocalError('local variable "y" referenced before assignment') unreachable L5: if is_error(z) goto L11 else goto L7 L6: r3 = raise UnboundLocalError('local variable "z" referenced before assignment') unreachable L7: r4 = CPyTagged_Add(y, z) xdec_ref y :: int xdec_ref z :: int return r4 L8: xdec_ref y :: int goto L1 L9: xdec_ref z :: int goto L2 L10: xdec_ref z :: int goto L4 L11: xdec_ref y :: int goto L6 [case testVectorcall] from typing import Any def call(f: Any, x: int) -> int: return f(x) [out] def call(f, x): f :: object x :: int r0 :: object r1 :: object[1] r2 :: object_ptr r3 :: object r4 :: int L0: inc_ref x :: int r0 = box(int, x) r1 = [r0] r2 = load_address r1 r3 = PyObject_Vectorcall(f, r2, 1, 0) dec_ref r0 r4 = unbox(int, r3) dec_ref r3 return r4 [case testVectorcallMethod_64bit] from typing import Any def call(o: Any, x: int) -> int: return o.m(x) [out] def call(o, x): o :: object x :: int r0 :: str r1 :: object r2 :: object[2] r3 :: object_ptr r4 :: object r5 :: int L0: r0 = 'm' inc_ref x :: int r1 = box(int, x) r2 = [o, r1] r3 = load_address r2 r4 = PyObject_VectorcallMethod(r0, r3, 9223372036854775810, 0) dec_ref r1 r5 = unbox(int, r4) dec_ref r4 return r5 [case testBorrowAttribute] def g() -> int: d = D() return d.c.x def f(d: D) -> int: return d.c.x class C: x: int class D: c: C [out] def g(): r0, d :: __main__.D r1 :: __main__.C r2 :: int L0: r0 = D() d = r0 r1 = borrow d.c r2 = r1.x dec_ref d return r2 def f(d): d :: __main__.D r0 :: __main__.C r1 :: int L0: r0 = borrow d.c r1 = r0.x return r1 [case testBorrowAttributeTwice] def f(e: E) -> int: return e.d.c.x class C: x: int class D: c: C class E: d: D [out] def f(e): e :: __main__.E r0 :: __main__.D r1 :: __main__.C r2 :: int L0: r0 = borrow e.d r1 = borrow r0.c r2 = r1.x return r2 [case testBorrowAttributeIsNone] from typing import Optional def f(c: C) -> bool: return c.x is not None def g(c: C) -> bool: return c.x is None class C: x: Optional[str] [out] def f(c): c :: __main__.C r0 :: union[str, None] r1 :: object r2 :: bit L0: r0 = borrow c.x r1 = load_address _Py_NoneStruct r2 = r0 != r1 return r2 def g(c): c :: __main__.C r0 :: union[str, None] r1 :: object r2 :: bit L0: r0 = borrow c.x r1 = load_address _Py_NoneStruct r2 = r0 == r1 return r2 [case testBorrowAttributeNarrowOptional] from typing import Optional def f(c: C) -> bool: if c.x is not None: return c.x.b return False class C: x: Optional[D] class D: b: bool [out] def f(c): c :: __main__.C r0 :: union[__main__.D, None] r1 :: object r2 :: bit r3 :: union[__main__.D, None] r4 :: __main__.D r5 :: bool L0: r0 = borrow c.x r1 = load_address _Py_NoneStruct r2 = r0 != r1 if r2 goto L1 else goto L2 :: bool L1: r3 = borrow c.x r4 = borrow cast(__main__.D, r3) r5 = r4.b return r5 L2: return 0 [case testBorrowLenArgument] from typing import List def f(x: C) -> int: return len(x.a) class C: a: List[str] [out] def f(x): x :: __main__.C r0 :: list r1 :: native_int r2 :: short_int L0: r0 = borrow x.a r1 = var_object_size r0 r2 = r1 << 1 return r2 [case testBorrowIsinstanceArgument] from typing import List def f(x: C) -> bool: if isinstance(x.a, D): return x.a.b else: return True class C: a: object class D: b: bool [out] def f(x): x :: __main__.C r0, r1 :: object r2 :: ptr r3 :: object r4 :: bit r5 :: object r6 :: __main__.D r7 :: bool L0: r0 = borrow x.a r1 = __main__.D :: type r2 = get_element_ptr r0 ob_type :: PyObject r3 = borrow load_mem r2 :: builtins.object* r4 = r3 == r1 if r4 goto L1 else goto L2 :: bool L1: r5 = borrow x.a r6 = borrow cast(__main__.D, r5) r7 = r6.b return r7 L2: return 1 [case testBorrowListGetItem1] from typing import List def literal_index(x: C) -> str: return x.a[0] def negative_index(x: C) -> str: return x.a[-1] def lvar_index(x: C, n: int) -> str: return x.a[n] class C: a: List[str] [out] def literal_index(x): x :: __main__.C r0 :: list r1 :: object r2 :: str L0: r0 = borrow x.a r1 = CPyList_GetItemShort(r0, 0) r2 = cast(str, r1) return r2 def negative_index(x): x :: __main__.C r0 :: list r1 :: object r2 :: str L0: r0 = borrow x.a r1 = CPyList_GetItemShort(r0, -2) r2 = cast(str, r1) return r2 def lvar_index(x, n): x :: __main__.C n :: int r0 :: list r1 :: object r2 :: str L0: r0 = borrow x.a r1 = CPyList_GetItem(r0, n) r2 = cast(str, r1) return r2 [case testBorrowListGetItem2] from typing import List def attr_before_index(x: C) -> str: return x.a[x.n] def attr_after_index(a: List[C], i: int) -> int: return a[i].n def attr_after_index_literal(a: List[C]) -> int: return a[0].n class C: a: List[str] n: int [out] def attr_before_index(x): x :: __main__.C r0 :: list r1 :: int r2 :: object r3 :: str L0: r0 = borrow x.a r1 = borrow x.n r2 = CPyList_GetItem(r0, r1) r3 = cast(str, r2) return r3 def attr_after_index(a, i): a :: list i :: int r0 :: object r1 :: __main__.C r2 :: int L0: r0 = CPyList_GetItemBorrow(a, i) r1 = borrow cast(__main__.C, r0) r2 = r1.n return r2 def attr_after_index_literal(a): a :: list r0 :: object r1 :: __main__.C r2 :: int L0: r0 = CPyList_GetItemShortBorrow(a, 0) r1 = borrow cast(__main__.C, r0) r2 = r1.n return r2 [case testCannotBorrowListGetItem] from typing import List def func_index(x: C) -> str: return x.a[f()] def f() -> int: return 0 class C: a: List[str] [out] def func_index(x): x :: __main__.C r0 :: list r1 :: int r2 :: object r3 :: str L0: r0 = x.a r1 = f() r2 = CPyList_GetItem(r0, r1) dec_ref r0 dec_ref r1 :: int r3 = cast(str, r2) return r3 def f(): L0: return 0 [case testBorrowListGetItemKeepAlive] from typing import List def f() -> str: a = [C()] return a[0].s class C: s: str [out] def f(): r0 :: __main__.C r1 :: list r2 :: ptr a :: list r3 :: object r4 :: __main__.C r5 :: str L0: r0 = C() r1 = PyList_New(1) r2 = list_items r1 buf_init_item r2, 0, r0 a = r1 r3 = CPyList_GetItemShortBorrow(a, 0) r4 = borrow cast(__main__.C, r3) r5 = r4.s dec_ref a return r5 [case testBorrowSetAttrObject] from typing import Optional def f(x: Optional[C]) -> None: if x is not None: x.b = True def g(x: D) -> None: x.c.b = False class C: b: bool class D: c: C [out] def f(x): x :: union[__main__.C, None] r0 :: object r1 :: bit r2 :: __main__.C r3 :: bool L0: r0 = load_address _Py_NoneStruct r1 = x != r0 if r1 goto L1 else goto L2 :: bool L1: r2 = borrow cast(__main__.C, x) r2.b = 1; r3 = is_error L2: return 1 def g(x): x :: __main__.D r0 :: __main__.C r1 :: bool L0: r0 = borrow x.c r0.b = 0; r1 = is_error return 1 [case testBorrowIntEquality] def add(c: C) -> bool: return c.x == c.y class C: x: int y: int [out] def add(c): c :: __main__.C r0, r1 :: int r2 :: bit L0: r0 = borrow c.x r1 = borrow c.y r2 = int_eq r0, r1 return r2 [case testBorrowIntLessThan] def add(c: C) -> bool: return c.x < c.y class C: x: int y: int [out] def add(c): c :: __main__.C r0, r1 :: int r2 :: bit L0: r0 = borrow c.x r1 = borrow c.y r2 = int_lt r0, r1 return r2 [case testBorrowIntCompareFinal] from typing import Final X: Final = 10 def add(c: C) -> bool: return c.x == X class C: x: int [out] def add(c): c :: __main__.C r0 :: int r1 :: bit L0: r0 = borrow c.x r1 = int_eq r0, 20 return r1 [case testBorrowIntArithmetic] def add(c: C) -> int: return c.x + c.y def sub(c: C) -> int: return c.x - c.y class C: x: int y: int [out] def add(c): c :: __main__.C r0, r1, r2 :: int L0: r0 = borrow c.x r1 = borrow c.y r2 = CPyTagged_Add(r0, r1) return r2 def sub(c): c :: __main__.C r0, r1, r2 :: int L0: r0 = borrow c.x r1 = borrow c.y r2 = CPyTagged_Subtract(r0, r1) return r2 [case testBorrowIntComparisonInIf] def add(c: C, n: int) -> bool: if c.x == c.y: return True return False class C: x: int y: int [out] def add(c, n): c :: __main__.C n, r0, r1 :: int r2 :: bit L0: r0 = borrow c.x r1 = borrow c.y r2 = int_eq r0, r1 if r2 goto L1 else goto L2 :: bool L1: return 1 L2: return 0 [case testBorrowIntInPlaceOp] def add(c: C, n: int) -> None: c.x += n def sub(c: C, n: int) -> None: c.x -= c.y class C: x: int y: int [out] def add(c, n): c :: __main__.C n, r0, r1 :: int r2 :: bool L0: r0 = borrow c.x r1 = CPyTagged_Add(r0, n) c.x = r1; r2 = is_error return 1 def sub(c, n): c :: __main__.C n, r0, r1, r2 :: int r3 :: bool L0: r0 = borrow c.x r1 = borrow c.y r2 = CPyTagged_Subtract(r0, r1) c.x = r2; r3 = is_error return 1 [case testCoerceIntToI64_64bit] from mypy_extensions import i64 def f(x: int) -> i64: # TODO: On the fast path we shouldn't have a decref. Once we have high-level IR, # coercion from int to i64 can be a single op, which makes it easier to # generate optimal refcount handling for this case. return x + 1 [out] def f(x): x, r0 :: int r1 :: native_int r2 :: bit r3, r4 :: i64 r5 :: ptr r6 :: c_ptr r7 :: i64 L0: r0 = CPyTagged_Add(x, 2) r1 = r0 & 1 r2 = r1 == 0 if r2 goto L1 else goto L2 :: bool L1: r3 = r0 >> 1 dec_ref r0 :: int r4 = r3 goto L3 L2: r5 = r0 ^ 1 r6 = r5 r7 = CPyLong_AsInt64(r6) r4 = r7 dec_ref r0 :: int L3: return r4 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-async.test0000644000175100017510000010561615112307767020137 0ustar00runnerrunner# async test cases (compile and run) [case testRunAsyncBasics] import asyncio from typing import Callable, Awaitable from testutil import assertRaises async def h() -> int: return 1 async def g() -> int: await asyncio.sleep(0) return await h() async def f() -> int: return await g() + 2 async def f2() -> int: x = 0 for i in range(2): x += i + await f() + await g() return x async def test_simple_call() -> None: result = await f() assert result == 3 async def test_multiple_awaits_in_expression() -> None: result = await f2() assert result == 9 class MyError(Exception): pass async def exc1() -> None: await asyncio.sleep(0) raise MyError() async def exc2() -> None: await asyncio.sleep(0) raise MyError() async def exc3() -> None: await exc1() async def exc4() -> None: await exc2() async def exc5() -> int: try: await exc1() except MyError: return 3 return 4 async def exc6() -> int: try: await exc4() except MyError: return 3 return 4 async def test_exception() -> None: with assertRaises(MyError): await exc1() with assertRaises(MyError): await exc2() with assertRaises(MyError): await exc3() with assertRaises(MyError): await exc4() assert await exc5() == 3 assert await exc6() == 3 async def indirect_call(x: int, c: Callable[[int], Awaitable[int]]) -> int: return await c(x) async def indirect_call_2(a: Awaitable[None]) -> None: await a async def indirect_call_3(a: Awaitable[float]) -> float: return (await a) + 1.0 async def inc(x: int) -> int: await asyncio.sleep(0) return x + 1 async def ident(x: float, err: bool = False) -> float: await asyncio.sleep(0.0) if err: raise MyError() return x + float("0.0") async def test_indirect_call() -> None: assert await indirect_call(3, inc) == 4 with assertRaises(MyError): await indirect_call_2(exc1()) assert await indirect_call_3(ident(2.0)) == 3.0 assert await indirect_call_3(ident(-113.0)) == -112.0 assert await indirect_call_3(ident(-114.0)) == -113.0 with assertRaises(MyError): await indirect_call_3(ident(1.0, True)) with assertRaises(MyError): await indirect_call_3(ident(-113.0, True)) class C: def __init__(self, n: int) -> None: self.n = n async def add(self, x: int, err: bool = False) -> int: await asyncio.sleep(0) if err: raise MyError() return x + self.n async def method_call(x: int) -> int: c = C(5) return await c.add(x) async def method_call_exception() -> int: c = C(5) return await c.add(3, err=True) async def test_async_method_call() -> None: assert await method_call(3) == 8 with assertRaises(MyError): await method_call_exception() [file asyncio/__init__.pyi] async def sleep(t: float) -> None: ... [typing fixtures/typing-full.pyi] [case testRunAsyncAwaitInVariousPositions] from typing import cast, Any import asyncio async def one() -> int: await asyncio.sleep(0.0) return int() + 1 async def true() -> bool: return bool(int() + await one()) async def branch_await() -> int: if bool(int() + 1) == await true(): return 3 return 2 async def branch_await_not() -> int: if bool(int() + 1) == (not await true()): return 3 return 2 async def test_branch() -> None: assert await branch_await() == 3 assert await branch_await_not() == 2 async def assign_multi() -> int: _, x = int(), await one() return x + 1 async def test_assign_multi() -> None: assert await assign_multi() == 2 class C: def __init__(self, s: str) -> None: self.s = s def concat(self, s: str) -> str: return self.s + s async def make_c(s: str) -> C: await one() return C(s) async def concat(s: str, t: str) -> str: await one() return s + t async def set_attr(s: str) -> None: (await make_c("xyz")).s = await concat(s, "!") async def test_set_attr() -> None: await set_attr("foo") # Just check that it compiles and runs def concat2(x: str, y: str) -> str: return x + y async def call1(s: str) -> str: return concat2(str(int()), await concat(s, "a")) async def call2(s: str) -> str: return await concat(str(int()), await concat(s, "b")) async def test_call() -> None: assert await call1("foo") == "0fooa" assert await call2("foo") == "0foob" async def method_call(s: str) -> str: return C("<").concat(await concat(s, ">")) async def test_method_call() -> None: assert await method_call("foo") == "" class D: def __init__(self, a: str, b: str) -> None: self.a = a self.b = b async def construct(s: str) -> str: c = D(await concat(s, "!"), await concat(s, "?")) return c.a + c.b async def test_construct() -> None: assert await construct("foo") == "foo!foo?" [file asyncio/__init__.pyi] async def sleep(t: float) -> None: ... [typing fixtures/typing-full.pyi] [case testAsyncWith] from testutil import async_val class async_ctx: async def __aenter__(self) -> str: await async_val("enter") return "test" async def __aexit__(self, x, y, z) -> None: await async_val("exit") async def async_with() -> str: async with async_ctx() as x: return await async_val("body") [file driver.py] from native import async_with from testutil import run_generator yields, val = run_generator(async_with(), [None, 'x', None]) assert yields == ('enter', 'body', 'exit'), yields assert val == 'x', val [case testAsyncReturn] from testutil import async_val async def async_return() -> str: try: return 'test' finally: await async_val('foo') [file driver.py] from native import async_return from testutil import run_generator yields, val = run_generator(async_return()) assert yields == ('foo',) assert val == 'test', val [case testAsyncFor] from typing import AsyncIterable, List, Set, Dict async def async_iter(xs: AsyncIterable[int]) -> List[int]: ys = [] async for x in xs: ys.append(x) return ys async def async_comp(xs: AsyncIterable[int]) -> List[int]: ys = [x async for x in xs] return ys async def async_comp_set(xs: AsyncIterable[int]) -> Set[int]: return {x async for x in xs} async def async_comp_dict(xs: AsyncIterable[int]) -> Dict[int, str]: return {x: str(x) async for x in xs} [typing fixtures/typing-full.pyi] [file driver.py] from native import async_iter, async_comp, async_comp_set, async_comp_dict from testutil import run_generator, async_val from typing import AsyncIterable, List # defined here since we couldn't do it inside the test yet... async def foo() -> AsyncIterable[int]: for x in range(3): await async_val(x) yield x yields, val = run_generator(async_iter(foo())) assert val == [0,1,2], val assert yields == (0,1,2), yields yields, val = run_generator(async_comp(foo())) assert val == [0,1,2], val assert yields == (0,1,2), yields yields, val = run_generator(async_comp_set(foo())) assert val == {0,1,2}, val assert yields == (0,1,2), yields yields, val = run_generator(async_comp_dict(foo())) assert val == {0: '0',1: '1', 2: '2'}, val assert yields == (0,1,2), yields [case testAsyncFor2] from typing import AsyncIterable, List async def async_iter(xs: AsyncIterable[int]) -> List[int]: ys = [] async for x in xs: ys.append(x) return ys [typing fixtures/typing-full.pyi] [file driver.py] from native import async_iter from testutil import run_generator, async_val from typing import AsyncIterable, List # defined here since we couldn't do it inside the test yet... async def foo() -> AsyncIterable[int]: for x in range(3): await async_val(x) yield x raise Exception('lol no') yields, val = run_generator(async_iter(foo())) assert yields == (0,1,2), yields assert val == 'lol no', val [case testAsyncWithVarReuse] class ConMan: async def __aenter__(self) -> int: return 1 async def __aexit__(self, *exc: object): pass class ConManB: async def __aenter__(self) -> int: return 2 async def __aexit__(self, *exc: object): pass async def test_x() -> None: value = 2 async with ConMan() as f: value += f assert value == 3, value async with ConManB() as f: value += f assert value == 5, value [case testRunAsyncSpecialCases] import asyncio async def t() -> tuple[int, str, str]: return (1, "x", "y") async def f() -> tuple[int, str, str]: return await t() async def test_tuple_return() -> None: result = await f() assert result == (1, "x", "y") async def e() -> ValueError: return ValueError("foo") async def g() -> ValueError: return await e() async def test_exception_return() -> None: result = await g() assert isinstance(result, ValueError) [file asyncio/__init__.pyi] async def sleep(t: float) -> None: ... [typing fixtures/typing-full.pyi] [case testRunAsyncRefCounting] import asyncio import gc async def assert_no_leaks(fn, max_new): # Warm-up, in case asyncio allocates something on first use await fn() gc.collect() old_objs = gc.get_objects() for i in range(10): await fn() gc.collect() new_objs = gc.get_objects() delta = len(new_objs) - len(old_objs) # Often a few persistent objects get allocated, which may be unavoidable. # The main thing we care about is that each iteration does not leak an # additional object. assert delta <= max_new, delta async def concat_one(x: str) -> str: return x + "1" async def foo(n: int) -> str: s = "" while len(s) < n: s = await concat_one(s) return s async def test_trivial() -> None: await assert_no_leaks(lambda: foo(1000), 5) async def make_list(a: list[int]) -> list[int]: await concat_one("foobar") return [a[0]] async def spill() -> list[int]: a: list[int] = [] for i in range(5): await asyncio.sleep(0.0001) a = (await make_list(a + [1])) + a + (await make_list(a + [2])) return a async def bar(n: int) -> None: for i in range(n): await spill() async def test_spilled() -> None: await assert_no_leaks(lambda: bar(80), 2) async def raise_deep(n: int) -> str: if n == 0: await asyncio.sleep(0.0001) raise TypeError(str(n)) else: if n == 2: await asyncio.sleep(0.0001) return await raise_deep(n - 1) async def maybe_raise(n: int) -> str: if n % 3 == 0: await raise_deep(5) elif n % 29 == 0: await asyncio.sleep(0.0001) return str(n) async def exc(n: int) -> list[str]: a = [] for i in range(n): try: a.append(str(int()) + await maybe_raise(n)) except TypeError: a.append(str(int() + 5)) return a async def test_exception() -> None: await assert_no_leaks(lambda: exc(50), 2) class C: def __init__(self, s: str) -> None: self.s = s async def id(c: C) -> C: return c async def stolen_helper(c: C, s: str) -> str: await asyncio.sleep(0.0001) (await id(c)).s = await concat_one(s) await asyncio.sleep(0.0001) return c.s async def stolen(n: int) -> int: for i in range(n): c = C(str(i)) s = await stolen_helper(c, str(i + 2)) assert s == str(i + 2) + "1" return n async def test_stolen() -> None: await assert_no_leaks(lambda: stolen(200), 2) [file asyncio/__init__.pyi] async def sleep(t: float) -> None: ... [case testRunAsyncMiscTypesInEnvironment] # Here we test that values of various kinds of types can be spilled to the # environment. In particular, types with "overlapping error values" such as # i64 can be tricky, since they require extra work to support undefined # attribute values (which raise AttributeError when accessed). For these, # the object struct has a bitfield which keeps track of whether certain # attributes have an assigned value. # # In practice we mark these attributes as "always defined", which causes these # checks to be skipped on attribute access, and thus we don't require the # bitfield to exist. # # See the comment of RType.error_overlap for more information. import asyncio from mypy_extensions import i64, i32, i16, u8 async def inc_float(x: float) -> float: return x + 1.0 async def inc_i64(x: i64) -> i64: return x + 1 async def inc_i32(x: i32) -> i32: return x + 1 async def inc_i16(x: i16) -> i16: return x + 1 async def inc_u8(x: u8) -> u8: return x + 1 async def inc_tuple(x: tuple[i64, float]) -> tuple[i64, float]: return x[0] + 1, x[1] + 1.5 async def neg_bool(b: bool) -> bool: return not b async def float_ops(x: float) -> float: n = x n = await inc_float(n) n = float("0.5") + await inc_float(n) return n async def test_float() -> None: assert await float_ops(2.5) == 5.0 async def i64_ops(x: i64) -> i64: n = x n = await inc_i64(n) n = i64("1") + await inc_i64(n) return n async def test_i64() -> None: assert await i64_ops(2) == 5 async def i32_ops(x: i32) -> i32: n = x n = await inc_i32(n) n = i32("1") + await inc_i32(n) return n async def test_i32() -> None: assert await i32_ops(3) == 6 async def i16_ops(x: i16) -> i16: n = x n = await inc_i16(n) n = i16("1") + await inc_i16(n) return n async def test_i16() -> None: assert await i16_ops(4) == 7 async def u8_ops(x: u8) -> u8: n = x n = await inc_u8(n) n = u8("1") + await inc_u8(n) return n async def test_u8() -> None: assert await u8_ops(5) == 8 async def tuple_ops(x: tuple[i64, float]) -> tuple[i64, float]: n = x n = await inc_tuple(n) m = ((i64("1"), float("0.5")), await inc_tuple(n)) return m[1] async def test_tuple() -> None: assert await tuple_ops((1, 2.5)) == (3, 5.5) async def bool_ops(x: bool) -> bool: n = x n = await neg_bool(n) m = (bool("1"), await neg_bool(n)) return m[0] and m[1] async def test_bool() -> None: assert await bool_ops(True) is True assert await bool_ops(False) is False [file asyncio/__init__.pyi] def run(x: object) -> object: ... [case testRunAsyncNestedFunctions] from __future__ import annotations import asyncio from typing import cast, Iterator, overload, Awaitable, Any, TypeVar from testutil import assertRaises def normal_contains_async_def(x: int) -> int: async def f(y: int) -> int: return x + y return 5 + cast(int, asyncio.run(f(6))) def test_def_contains_async_def() -> None: assert normal_contains_async_def(3) == 14 async def inc(x: int) -> int: return x + 1 async def async_def_contains_normal(x: int) -> int: def nested(y: int, z: int) -> int: return x + y + z a = x a += nested((await inc(3)), (await inc(4))) return a async def test_async_def_contains_normal() -> None: assert await async_def_contains_normal(2) == (2 + 2 + 4 + 5) async def async_def_contains_async_def(x: int) -> int: async def f(y: int) -> int: return (await inc(x)) + (await inc(y)) return (await f(1)) + (await f(2)) async def test_async_def_contains_async_def() -> None: assert await async_def_contains_async_def(3) == (3 + 1 + 1 + 1) + (3 + 1 + 2 + 1) async def async_def_contains_generator(x: int) -> tuple[int, int, int]: def gen(y: int) -> Iterator[int]: yield x + 1 yield x + y it = gen(4) res = x + 10, next(it), next(it) with assertRaises(StopIteration): next(it) return res async def test_async_def_contains_generator() -> None: assert await async_def_contains_generator(3) == (13, 4, 7) def generator_contains_async_def(x: int) -> Iterator[int]: async def f(y: int) -> int: return (await inc(x)) + (await inc(y)) yield cast(int, asyncio.run(f(2))) yield cast(int, asyncio.run(f(3))) yield x + 10 def test_generator_contains_async_def() -> None: assert list(generator_contains_async_def(5)) == [6 + 3, 6 + 4, 15] async def async_def_contains_two_nested_functions(x: int, y: int) -> tuple[int, int]: def f(a: int) -> int: return x + a def g(b: int, c: int) -> int: return y + b + c return (await inc(f(3))), (await inc(g(4, 10))) async def test_async_def_contains_two_nested_functions() -> None: assert await async_def_contains_two_nested_functions(5, 7) == ( (5 + 3 + 1), (7 + 4 + 10 + 1) ) async def async_def_contains_overloaded_async_def(n: int) -> int: @overload async def f(x: int) -> int: ... @overload async def f(x: str) -> str: ... async def f(x: int | str) -> Any: return x return (await f(n)) + 1 async def test_async_def_contains_overloaded_async_def() -> None: assert await async_def_contains_overloaded_async_def(5) == 6 T = TypeVar("T") def deco(f: T) -> T: return f async def async_def_contains_decorated_async_def(n: int) -> int: @deco async def f(x: int) -> int: return x + 2 return (await f(n)) + 1 async def test_async_def_contains_decorated_async_def() -> None: assert await async_def_contains_decorated_async_def(7) == 10 [file asyncio/__init__.pyi] def run(x: object) -> object: ... [case testAsyncTryFinallyMixedReturn] # This used to raise an AttributeError, when: # - the try block contains multiple paths # - at least one of those explicitly returns # - at least one of those does not explicitly return # - the non-returning path is taken at runtime async def mixed_return(b: bool) -> bool: try: if b: return b finally: pass return b async def test_async_try_finally_mixed_return() -> None: # Test return path result1 = await mixed_return(True) assert result1 == True # Test non-return path result2 = await mixed_return(False) assert result2 == False [case testAsyncWithMixedReturn] # This used to raise an AttributeError, related to # testAsyncTryFinallyMixedReturn, this is essentially # a far more extensive version of that test surfacing # more edge cases from typing import Optional, Type, Literal class AsyncContextManager: async def __aenter__(self) -> "AsyncContextManager": return self async def __aexit__( self, t: Optional[Type[BaseException]], v: Optional[BaseException], tb: object, ) -> Literal[False]: return False # Simple async functions (generator class) async def gen_1(b: bool) -> bool: async with AsyncContextManager(): if b: return b return b async def gen_2(b: bool) -> bool: async with AsyncContextManager(): if b: return b else: return b async def gen_3(b: bool) -> bool: async with AsyncContextManager(): if b: return b else: pass return b async def gen_4(b: bool) -> bool: ret: bool async with AsyncContextManager(): if b: ret = b else: ret = b return ret async def gen_5(i: int) -> int: async with AsyncContextManager(): if i == 1: return i elif i == 2: pass elif i == 3: return i return i async def gen_6(i: int) -> int: async with AsyncContextManager(): if i == 1: return i elif i == 2: return i elif i == 3: return i return i async def gen_7(i: int) -> int: async with AsyncContextManager(): if i == 1: return i elif i == 2: return i elif i == 3: return i else: return i # Async functions with nested functions (environment class) async def env_1(b: bool) -> bool: def helper() -> bool: return True async with AsyncContextManager(): if b: return helper() return b async def env_2(b: bool) -> bool: def helper() -> bool: return True async with AsyncContextManager(): if b: return helper() else: return b async def env_3(b: bool) -> bool: def helper() -> bool: return True async with AsyncContextManager(): if b: return helper() else: pass return b async def env_4(b: bool) -> bool: def helper() -> bool: return True ret: bool async with AsyncContextManager(): if b: ret = helper() else: ret = b return ret async def env_5(i: int) -> int: def helper() -> int: return 1 async with AsyncContextManager(): if i == 1: return helper() elif i == 2: pass elif i == 3: return i return i async def env_6(i: int) -> int: def helper() -> int: return 1 async with AsyncContextManager(): if i == 1: return helper() elif i == 2: return i elif i == 3: return i return i async def env_7(i: int) -> int: def helper() -> int: return 1 async with AsyncContextManager(): if i == 1: return helper() elif i == 2: return i elif i == 3: return i else: return i async def test_async_with_mixed_return() -> None: # Test simple async functions (generator class) # env_1: mixed return/no-return assert await gen_1(True) is True assert await gen_1(False) is False # gen_2: all branches return assert await gen_2(True) is True assert await gen_2(False) is False # gen_3: mixed return/pass assert await gen_3(True) is True assert await gen_3(False) is False # gen_4: no returns in async with assert await gen_4(True) is True assert await gen_4(False) is False # gen_5: multiple branches, some return assert await gen_5(0) == 0 assert await gen_5(1) == 1 assert await gen_5(2) == 2 assert await gen_5(3) == 3 # gen_6: all explicit branches return, implicit fallthrough assert await gen_6(0) == 0 assert await gen_6(1) == 1 assert await gen_6(2) == 2 assert await gen_6(3) == 3 # gen_7: all branches return including else assert await gen_7(0) == 0 assert await gen_7(1) == 1 assert await gen_7(2) == 2 assert await gen_7(3) == 3 # Test async functions with nested functions (environment class) # env_1: mixed return/no-return assert await env_1(True) is True assert await env_1(False) is False # env_2: all branches return assert await env_2(True) is True assert await env_2(False) is False # env_3: mixed return/pass assert await env_3(True) is True assert await env_3(False) is False # env_4: no returns in async with assert await env_4(True) is True assert await env_4(False) is False # env_5: multiple branches, some return assert await env_5(0) == 0 assert await env_5(1) == 1 assert await env_5(2) == 2 assert await env_5(3) == 3 # env_6: all explicit branches return, implicit fallthrough assert await env_6(0) == 0 assert await env_6(1) == 1 assert await env_6(2) == 2 assert await env_6(3) == 3 # env_7: all branches return including else assert await env_7(0) == 0 assert await env_7(1) == 1 assert await env_7(2) == 2 assert await env_7(3) == 3 [case testAsyncTryExceptFinallyAwait] import asyncio from testutil import assertRaises class TestError(Exception): pass # Test 0: Simplest case - just try/finally with raise and await async def simple_try_finally_await() -> None: try: raise ValueError("simple error") finally: await asyncio.sleep(0) # Test 1: Raise inside try, catch in except, don't re-raise async def async_try_except_no_reraise() -> int: try: raise ValueError("test error") return 1 # Never reached except ValueError: return 2 # Should return this finally: await asyncio.sleep(0) return 3 # Should not reach this # Test 2: Raise inside try, catch in except, re-raise async def async_try_except_reraise() -> int: try: raise ValueError("test error") return 1 # Never reached except ValueError: raise # Re-raise the exception finally: await asyncio.sleep(0) return 2 # Should not reach this # Test 3: Raise inside try, catch in except, raise different error async def async_try_except_raise_different() -> int: try: raise ValueError("original error") return 1 # Never reached except ValueError: raise RuntimeError("different error") finally: await asyncio.sleep(0) return 2 # Should not reach this # Test 4: Another try/except block inside finally async def async_try_except_inside_finally() -> int: try: raise ValueError("outer error") return 1 # Never reached finally: await asyncio.sleep(0) try: raise RuntimeError("inner error") except RuntimeError: pass # Catch inner error return 2 # What happens after finally with inner exception handled? # Test 5: Another try/finally block inside finally async def async_try_finally_inside_finally() -> int: try: raise ValueError("outer error") return 1 # Never reached finally: await asyncio.sleep(0) try: raise RuntimeError("inner error") finally: await asyncio.sleep(0) return 2 # Should not reach this # Control case: No await in finally - should work correctly async def async_exception_no_await_in_finally() -> None: """Control case: This works correctly - exception propagates""" try: raise TestError("This exception will propagate!") finally: pass # No await here # Test function with no exception to check normal flow async def async_no_exception_with_await_in_finally() -> int: try: return 1 # Normal return finally: await asyncio.sleep(0) return 2 # Should not reach this async def test_async_try_except_finally_await() -> None: # Test 0: Simplest case - just try/finally with exception # Expected: ValueError propagates with assertRaises(ValueError): await simple_try_finally_await() # Test 1: Exception caught, not re-raised # Expected: return 2 (from except block) result = await async_try_except_no_reraise() assert result == 2, f"Expected 2, got {result}" # Test 2: Exception caught and re-raised # Expected: ValueError propagates with assertRaises(ValueError): await async_try_except_reraise() # Test 3: Exception caught, different exception raised # Expected: RuntimeError propagates with assertRaises(RuntimeError): await async_try_except_raise_different() # Test 4: Try/except inside finally # Expected: ValueError propagates (outer exception) with assertRaises(ValueError): await async_try_except_inside_finally() # Test 5: Try/finally inside finally # Expected: RuntimeError propagates (inner error) with assertRaises(RuntimeError): await async_try_finally_inside_finally() # Control case: No await in finally (should work correctly) with assertRaises(TestError): await async_exception_no_await_in_finally() # Test normal flow (no exception) # Expected: return 1 result = await async_no_exception_with_await_in_finally() assert result == 1, f"Expected 1, got {result}" [file asyncio/__init__.pyi] async def sleep(t: float) -> None: ... [case testAsyncContextManagerExceptionHandling] import asyncio from typing import Optional, Type from testutil import assertRaises # Test 1: Basic async context manager that doesn't suppress exceptions class AsyncContextManager: async def __aenter__(self) -> 'AsyncContextManager': return self async def __aexit__(self, exc_type: Optional[Type[BaseException]], exc_val: Optional[BaseException], exc_tb: object) -> None: # This await in __aexit__ is like await in finally await asyncio.sleep(0) # Don't suppress the exception (return None/False) async def func_with_async_context_manager() -> str: async with AsyncContextManager(): raise ValueError("Exception inside async with") return "should not reach" # Never reached return "should not reach either" # Never reached async def test_basic_exception() -> str: try: await func_with_async_context_manager() return "func_a returned normally - bug!" except ValueError: return "caught ValueError - correct!" except Exception as e: return f"caught different exception: {type(e).__name__}" # Test 2: Async context manager that raises a different exception in __aexit__ class AsyncContextManagerRaisesInExit: async def __aenter__(self) -> 'AsyncContextManagerRaisesInExit': return self async def __aexit__(self, exc_type: Optional[Type[BaseException]], exc_val: Optional[BaseException], exc_tb: object) -> None: # This await in __aexit__ is like await in finally await asyncio.sleep(0) # Raise a different exception - this should replace the original exception raise RuntimeError("Exception in __aexit__") async def func_with_raising_context_manager() -> str: async with AsyncContextManagerRaisesInExit(): raise ValueError("Original exception") return "should not reach" # Never reached return "should not reach either" # Never reached async def test_exception_in_aexit() -> str: try: await func_with_raising_context_manager() return "func returned normally - unexpected!" except RuntimeError: return "caught RuntimeError - correct!" except ValueError: return "caught ValueError - original exception not replaced!" except Exception as e: return f"caught different exception: {type(e).__name__}" async def test_async_context_manager_exception_handling() -> None: # Test 1: Basic exception propagation result = await test_basic_exception() # Expected: "caught ValueError - correct!" assert result == "caught ValueError - correct!", f"Expected exception to propagate, got: {result}" # Test 2: Exception raised in __aexit__ replaces original exception result = await test_exception_in_aexit() # Expected: "caught RuntimeError - correct!" # (The RuntimeError from __aexit__ should replace the ValueError) assert result == "caught RuntimeError - correct!", f"Expected RuntimeError from __aexit__, got: {result}" [file asyncio/__init__.pyi] async def sleep(t: float) -> None: ... [case testCallableArgWithSameNameAsHelperMethod] import asyncio from typing import Awaitable, Callable MyCallable = Callable[[int, int], Awaitable[int]] async def add(a: int, b: int) -> int: return a + b async def await_send(send: MyCallable) -> int: return await send(1, 2) async def await_throw(throw: MyCallable) -> int: return await throw(3, 4) async def tests() -> None: assert await await_send(add) == 3 assert await await_throw(add) == 7 def test_callable_arg_same_name_as_helper() -> None: asyncio.run(tests()) [file asyncio/__init__.pyi] def run(x: object) -> object: ... [case testRunAsyncCancelFinallySpecialCase] import asyncio from testutil import assertRaises # Greatly simplified from asyncio.Condition class Condition: async def acquire(self) -> None: pass async def wait(self) -> bool: l = asyncio.get_running_loop() fut = l.create_future() a = [] try: try: a.append(fut) try: await fut return True finally: a.pop() finally: err = None while True: try: await self.acquire() break except asyncio.CancelledError as e: err = e if err is not None: try: raise err finally: err = None except BaseException: raise async def do_cancel() -> None: cond = Condition() wait = asyncio.create_task(cond.wait()) asyncio.get_running_loop().call_soon(wait.cancel) with assertRaises(asyncio.CancelledError): await wait def test_cancel_special_case() -> None: asyncio.run(do_cancel()) [file asyncio/__init__.pyi] from typing import Any class CancelledError(Exception): ... def run(x: object) -> object: ... def get_running_loop() -> Any: ... def create_task(x: object) -> Any: ... [case testAsyncInheritance1] from typing import final, Coroutine, Any, TypeVar import asyncio from mypy_extensions import trait class Base1: async def foo(self) -> int: return 1 class Derived1(Base1): async def foo(self) -> int: return await super().foo() + 1 async def base1_foo(b: Base1) -> int: return await b.foo() async def derived1_foo(b: Derived1) -> int: return await b.foo() def test_async_inheritance() -> None: assert asyncio.run(base1_foo(Base1())) == 1 assert asyncio.run(base1_foo(Derived1())) == 2 assert asyncio.run(derived1_foo(Derived1())) == 2 @final class FinalClass: async def foo(self) -> int: return 3 async def final_class_foo(b: FinalClass) -> int: return await b.foo() def test_final_class() -> None: assert asyncio.run(final_class_foo(FinalClass())) == 3 class Base2: async def foo(self) -> int: return 4 async def bar(self) -> int: return 5 class Derived2(Base2): # Does not override "foo" async def bar(self) -> int: return 6 async def base2_foo(b: Base2) -> int: return await b.foo() def test_no_override() -> None: assert asyncio.run(base2_foo(Base2())) == 4 assert asyncio.run(base2_foo(Derived2())) == 4 class Base3: async def foo(self) -> int: return 7 class Derived3(Base3): def foo(self) -> Coroutine[Any, Any, int]: async def inner() -> int: return 8 return inner() async def base3_foo(b: Base3) -> int: return await b.foo() def test_override_non_async() -> None: assert asyncio.run(base3_foo(Base3())) == 7 assert asyncio.run(base3_foo(Derived3())) == 8 class Base4: pass @trait class TraitBase: async def foo(self, value: int) -> int: raise NotImplementedError() class DerivedFromTrait(Base4, TraitBase): async def foo(self, value: int) -> int: return value + 3 async def trait_foo(o: TraitBase, x: int) -> int: return await o.foo(x) def test_override_trait() -> None: assert asyncio.run(trait_foo(DerivedFromTrait(), 7)) == 10 class Base5: def __init__(self) -> None: self._name = "test" async def foo(self, x: int) -> int: assert self._name == "test" return x + 11 class Derived5(Base5): async def foo(self, x: int) -> int: return await super().foo(x) + 22 def test_call_using_super() -> None: assert asyncio.run(Derived5().foo(5)) == 38 [file asyncio/__init__.pyi] def run(x: object) -> object: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-attrs.test0000644000175100017510000001646015112307767020155 0ustar00runnerrunner-- Test cases for dataclasses based on the attrs library, where auto_attribs=True [case testRunAttrsclass] import attr from typing import Set, List, Callable, Any @attr.s(auto_attribs=True) class Person1: age : int name : str def __bool__(self) -> bool: return self.name == 'robot' def testBool(p: Person1) -> bool: if p: return True else: return False @attr.s(auto_attribs=True) class Person1b(Person1): id: str = '000' @attr.s(auto_attribs=True) class Person2: age : int name : str = attr.ib(default='robot') @attr.s(auto_attribs=True, order=True) class Person3: age : int = attr.ib(default = 6) friendIDs : List[int] = attr.ib(factory = list) def get_age(self) -> int: return (self.age) def set_age(self, new_age : int) -> None: self.age = new_age def add_friendID(self, fid : int) -> None: self.friendIDs.append(fid) def get_friendIDs(self) -> List[int]: return self.friendIDs def get_next_age(g: Callable[[Any], int]) -> Callable[[Any], int]: def f(a: Any) -> int: return g(a) + 1 return f @attr.s(auto_attribs=True) class Person4: age : int _name : str = 'Bot' @get_next_age def get_age(self) -> int: return self.age @property def name(self) -> str: return self._name @attr.s(auto_attribs=True) class Point: x : int = attr.ib(converter=int) y : int = attr.ib(init=False) def __attrs_post_init__(self): self.y = self.x + 1 [file other.py] from native import Person1, Person1b, Person2, Person3, Person4, testBool, Point i1 = Person1(age = 5, name = 'robot') assert i1.age == 5 assert i1.name == 'robot' assert testBool(i1) == True assert testBool(Person1(age = 5, name = 'robo')) == False i1b = Person1b(age = 5, name = 'robot') assert i1b.age == 5 assert i1b.name == 'robot' assert i1b.id == '000' assert testBool(i1b) == True assert testBool(Person1b(age = 5, name = 'robo')) == False i1c = Person1b(age = 20, name = 'robot', id = 'test') assert i1c.age == 20 assert i1c.id == 'test' i2 = Person2(age = 5) assert i2.age == 5 assert i2.name == 'robot' i3 = Person2(age = 5, name = 'new_robot') assert i3.age == 5 assert i3.name == 'new_robot' i4 = Person3() assert i4.age == 6 assert i4.friendIDs == [] i5 = Person3(age = 5) assert i5.age == 5 assert i5.friendIDs == [] i6 = Person3(age = 5, friendIDs = [1,2,3]) assert i6.age == 5 assert i6.friendIDs == [1,2,3] assert i6.get_age() == 5 i6.set_age(10) assert i6.get_age() == 10 i6.add_friendID(4) assert i6.get_friendIDs() == [1,2,3,4] i7 = Person4(age = 5) assert i7.get_age() == 6 i7.age += 3 assert i7.age == 8 assert i7.name == 'Bot' i8 = Person3(age = 1, friendIDs = [1,2]) i9 = Person3(age = 1, friendIDs = [1,2]) assert i8 == i9 i8.age = 2 assert i8 > i9 assert Person1.__annotations__ == {'age': int, 'name': str} assert Person2.__annotations__ == {'age': int, 'name': str} p1 = Point(2) assert p1.x == 2 assert p1.y == 3 p2 = Point('2') assert p2.x == 2 assert p2.y == 3 assert Point.__annotations__ == {'x': int, 'y': int} [file driver.py] import sys # PEP 526 introduced in 3.6 version = sys.version_info[:2] if version[0] < 3 or version[1] < 6: exit() # Run the tests in both interpreted and compiled mode import other import other_interpreted # Test for an exceptional cases from testutil import assertRaises from native import Person1, Person1b, Person3 from types import BuiltinMethodType with assertRaises(TypeError, "missing 1 required positional argument"): Person1(0) with assertRaises(TypeError, "missing 2 required positional arguments"): Person1b() with assertRaises(TypeError, "int object expected; got str"): Person1('nope', 'test') p = Person1(0, 'test') with assertRaises(TypeError, "int object expected; got str"): p.age = 'nope' assert isinstance(Person3().get_age, BuiltinMethodType) [case testRunAttrsclassNonAuto] import attr from typing import Set, List, Callable, Any @attr.s class Person1: age = attr.ib(type=int) name = attr.ib(type=str) def __bool__(self) -> bool: return self.name == 'robot' def testBool(p: Person1) -> bool: if p: return True else: return False @attr.s class Person1b(Person1): id = attr.ib(type=str, default='000') @attr.s class Person2: age = attr.ib(type=int) name = attr.ib(type=str, default='robot') @attr.s(order=True) class Person3: age = attr.ib(type=int, default=6) friendIDs = attr.ib(factory=list, type=List[int]) def get_age(self) -> int: return (self.age) def set_age(self, new_age : int) -> None: self.age = new_age def add_friendID(self, fid : int) -> None: self.friendIDs.append(fid) def get_friendIDs(self) -> List[int]: return self.friendIDs def get_next_age(g: Callable[[Any], int]) -> Callable[[Any], int]: def f(a: Any) -> int: return g(a) + 1 return f @attr.s class Person4: age = attr.ib(type=int) _name = attr.ib(type=str, default='Bot') @get_next_age def get_age(self) -> int: return self.age @property def name(self) -> str: return self._name @attr.s class Point: x = attr.ib(type=int, converter=int) y = attr.ib(type=int, init=False) def __attrs_post_init__(self): self.y = self.x + 1 [file other.py] from native import Person1, Person1b, Person2, Person3, Person4, testBool, Point i1 = Person1(age = 5, name = 'robot') assert i1.age == 5 assert i1.name == 'robot' assert testBool(i1) == True assert testBool(Person1(age = 5, name = 'robo')) == False i1b = Person1b(age = 5, name = 'robot') assert i1b.age == 5 assert i1b.name == 'robot' assert i1b.id == '000' assert testBool(i1b) == True assert testBool(Person1b(age = 5, name = 'robo')) == False i1c = Person1b(age = 20, name = 'robot', id = 'test') assert i1c.age == 20 assert i1c.id == 'test' i2 = Person2(age = 5) assert i2.age == 5 assert i2.name == 'robot' i3 = Person2(age = 5, name = 'new_robot') assert i3.age == 5 assert i3.name == 'new_robot' i4 = Person3() assert i4.age == 6 assert i4.friendIDs == [] i5 = Person3(age = 5) assert i5.age == 5 assert i5.friendIDs == [] i6 = Person3(age = 5, friendIDs = [1,2,3]) assert i6.age == 5 assert i6.friendIDs == [1,2,3] assert i6.get_age() == 5 i6.set_age(10) assert i6.get_age() == 10 i6.add_friendID(4) assert i6.get_friendIDs() == [1,2,3,4] i7 = Person4(age = 5) assert i7.get_age() == 6 i7.age += 3 assert i7.age == 8 assert i7.name == 'Bot' i8 = Person3(age = 1, friendIDs = [1,2]) i9 = Person3(age = 1, friendIDs = [1,2]) assert i8 == i9 i8.age = 2 assert i8 > i9 p1 = Point(2) assert p1.x == 2 assert p1.y == 3 p2 = Point('2') assert p2.x == 2 assert p2.y == 3 [file driver.py] import sys # Run the tests in both interpreted and compiled mode import other import other_interpreted # Test for an exceptional cases from testutil import assertRaises from native import Person1, Person1b, Person3 from types import BuiltinMethodType with assertRaises(TypeError, "missing 1 required positional argument"): Person1(0) with assertRaises(TypeError, "missing 2 required positional arguments"): Person1b() with assertRaises(TypeError, "int object expected; got str"): Person1('nope', 'test') p = Person1(0, 'test') with assertRaises(TypeError, "int object expected; got str"): p.age = 'nope' assert isinstance(Person3().get_age, BuiltinMethodType) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-base64.test0000644000175100017510000001216115112307767020076 0ustar00runnerrunner[case testAllBase64Features_librt_experimental] from typing import Any import base64 import binascii from librt.base64 import b64encode, b64decode from testutil import assertRaises def test_encode_basic() -> None: assert b64encode(b"x") == b"eA==" with assertRaises(TypeError): b64encode(bytearray(b"x")) def check_encode(b: bytes) -> None: assert b64encode(b) == getattr(base64, "b64encode")(b) def test_encode_different_strings() -> None: for i in range(256): check_encode(bytes([i])) check_encode(bytes([i]) + b"x") check_encode(bytes([i]) + b"xy") check_encode(bytes([i]) + b"xyz") check_encode(bytes([i]) + b"xyza") check_encode(b"x" + bytes([i])) check_encode(b"xy" + bytes([i])) check_encode(b"xyz" + bytes([i])) check_encode(b"xyza" + bytes([i])) b = b"a\x00\xb7" * 1000 for i in range(1000): check_encode(b[:i]) for b in b"", b"ab", b"bac", b"1234", b"xyz88", b"abc" * 200: check_encode(b) def test_encode_wrapper() -> None: enc: Any = b64encode assert enc(b"x") == b"eA==" with assertRaises(TypeError): enc() with assertRaises(TypeError): enc(b"x", b"y") def test_decode_basic() -> None: assert b64decode(b"eA==") == b"x" with assertRaises(TypeError): b64decode(bytearray(b"eA==")) for non_ascii in "\x80", "foo\u100bar", "foo\ua1234bar": with assertRaises(ValueError): b64decode(non_ascii) def check_decode(b: bytes, encoded: bool = False) -> None: if encoded: enc = b else: enc = b64encode(b) assert b64decode(enc) == getattr(base64, "b64decode")(enc) if getattr(enc, "isascii")(): # Test stub has no "isascii" enc_str = enc.decode("ascii") assert b64decode(enc_str) == getattr(base64, "b64decode")(enc_str) def test_decode_different_strings() -> None: for i in range(256): check_decode(bytes([i])) check_decode(bytes([i]) + b"x") check_decode(bytes([i]) + b"xy") check_decode(bytes([i]) + b"xyz") check_decode(bytes([i]) + b"xyza") check_decode(b"x" + bytes([i])) check_decode(b"xy" + bytes([i])) check_decode(b"xyz" + bytes([i])) check_decode(b"xyza" + bytes([i])) b = b"a\x00\xb7" * 1000 for i in range(1000): check_decode(b[:i]) for b in b"", b"ab", b"bac", b"1234", b"xyz88", b"abc" * 200: check_decode(b) def is_base64_char(x: int) -> bool: c = chr(x) return ('a' <= c <= 'z') or ('A' <= c <= 'Z') or ('0' <= c <= '9') or c in '+/=' def test_decode_with_non_base64_chars() -> None: # For stdlib compatibility, non-base64 characters should be ignored. # Invalid characters as a suffix use a fast path. check_decode(b"eA== ", encoded=True) check_decode(b"eA==\n", encoded=True) check_decode(b"eA== \t\n", encoded=True) check_decode(b"\n", encoded=True) check_decode(b" e A = = ", encoded=True) # Special case: Two different encodings of the same data check_decode(b"eAa=", encoded=True) check_decode(b"eAY=", encoded=True) for x in range(256): if not is_base64_char(x): b = bytes([x]) check_decode(b, encoded=True) check_decode(b"eA==" + b, encoded=True) check_decode(b"e" + b + b"A==", encoded=True) check_decode(b"eA=" + b + b"=", encoded=True) def check_decode_error(b: bytes, ignore_stdlib: bool = False) -> None: if not ignore_stdlib: with assertRaises(binascii.Error): getattr(base64, "b64decode")(b) # The raised error is different, since librt shouldn't depend on binascii with assertRaises(ValueError): b64decode(b) def test_decode_with_invalid_padding() -> None: check_decode_error(b"eA") check_decode_error(b"eA=") check_decode_error(b"eHk") check_decode_error(b"eA = ") # Here stdlib behavior seems nonsensical, so we don't try to duplicate it check_decode_error(b"eA=a=", ignore_stdlib=True) def test_decode_with_extra_data_after_padding() -> None: check_decode(b"=", encoded=True) check_decode(b"==", encoded=True) check_decode(b"===", encoded=True) check_decode(b"====", encoded=True) check_decode(b"eA===", encoded=True) check_decode(b"eHk==", encoded=True) check_decode(b"eA==x", encoded=True) check_decode(b"eHk=x", encoded=True) check_decode(b"eA==abc=======efg", encoded=True) def test_decode_wrapper() -> None: dec: Any = b64decode assert dec(b"eA==") == b"x" with assertRaises(TypeError): dec() with assertRaises(TypeError): dec(b"x", b"y") [case testBase64FeaturesNotAvailableInNonExperimentalBuild_librt_base64] # This also ensures librt.base64 can be built without experimental features import librt.base64 def test_b64encode_not_available() -> None: assert not hasattr(librt.base64, "b64encode") [case testBase64UsedAtTopLevelOnly_librt_experimental] from librt.base64 import b64encode # The only reference to b64encode is at module top level encoded = b64encode(b"x") def test_top_level_only_encode() -> None: assert encoded == b"eA==" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-bench.test0000644000175100017510000001300115112307767020063 0ustar00runnerrunner-- TODO: build some generic benchmark harness [case testBenchmarkTree] from typing import Optional class Node: def __init__(self, value: int) -> None: self.value = value self.left = None # type: Optional[Node] self.right = None # type: Optional[Node] def sum(self) -> int: left = 0 if self.left is not None: left = self.left.sum() right = 0 if self.right is not None: right = self.right.sum() return self.value + left + right def sum_tree(x: Optional[Node]) -> int: if x is None: return 0 return x.value + sum_tree(x.left) + sum_tree(x.right) def build(n: int) -> Optional[Node]: if n == 0: return None x = Node(n) x.left = build(n - 1) x.right = x.left return x def bench_sum(x: Optional[Node]) -> None: for i in range(1000000): sum_tree(x) def bench_sum_method(x: Node) -> None: for i in range(1000000): x.sum() [file driver.py] from typing import Optional import native import interpreted from timeit import timeit from time import time import os def dumb_time(f): t0 = time() f() t1 = time() return t1 - t0 def basic_test(m): tree = m.build(5) assert(m.sum_tree(tree) == 57) assert(tree.sum() == 57) return tree def test(m): tree = basic_test(m) g = {**globals(), **locals()} sum = timeit('m.sum_tree(tree)', globals=g) sum2 = timeit('tree.sum()', globals=g) fsum = dumb_time(lambda: m.bench_sum(tree)) fsum2 = dumb_time(lambda: m.bench_sum_method(tree)) build = timeit('m.build(5)', globals=g) return (sum, sum2, fsum, fsum2, build) # Basic functionality test basic_test(native) # Benchmark if we are benchmarking if os.environ.get('MYPYC_RUN_BENCH') == '1': nsum, nsum2, nfsum, nfsum2, nbuild = test(native) isum, isum2, ifsum, ifsum2, ibuild = test(interpreted) print(nsum, nsum2, nfsum, nbuild) print("Sum speedup:", isum/nsum) print("Sum method speedup:", isum2/nsum2) print("Sum (fast) speedup:", ifsum/nfsum) print("Sum (fast) method speedup:", ifsum2/nfsum2) print("Build speedup:", ibuild/nbuild) [case testBenchmarkVisitorTree] from mypy_extensions import trait from typing import cast, Generic, TypeVar, Any T = TypeVar('T') class Tree: def accept(self, v: 'TreeVisitor[T]') -> T: pass class Leaf(Tree): def accept(self, v: 'TreeVisitor[T]') -> T: return v.visit_leaf(self) class Node(Tree): def __init__(self, value: int, left: Tree, right: Tree) -> None: self.value = value self.left = left self.right = right def accept(self, v: 'TreeVisitor[T]') -> T: return v.visit_node(self) @trait class TreeVisitor(Generic[T]): def visit_leaf(self, x: Leaf) -> T: return cast(T, None) def visit_node(self, x: Node) -> T: return cast(T, None) class SumVisitor(TreeVisitor[int]): def sum(self, x: Tree) -> int: return x.accept(self) def visit_leaf(self, x: Leaf) -> int: return 0 def visit_node(self, x: Node) -> int: return x.value + self.sum(x.left) + self.sum(x.right) def equal(x: Tree, y: Tree) -> bool: return EqualVisitor(x).equal(y) class EqualVisitor(TreeVisitor[bool]): def __init__(self, left: Tree) -> None: self.left = left def equal(self, right: Tree) -> bool: return right.accept(self) def visit_leaf(self, right: Leaf) -> bool: return isinstance(self.left, Leaf) def visit_node(self, right: Node) -> bool: if isinstance(self.left, Node): # our boolean stuff is crap if (self.left.value == right.value and equal(self.left.left, right.left) and equal(self.left.right, right.right)): return True return False def sum_tree(x: Tree) -> int: return SumVisitor().sum(x) def build(n: int) -> Tree: if n == 0: return Leaf() return Node(n, build(n - 1), build(n - 1)) def bench_sum_tree(x: Tree) -> None: for i in range(100000): sum_tree(x) def bench_equal_tree(x: Tree, y: Tree) -> None: for i in range(100000): equal(x, y) [file driver.py] from typing import Optional import interpreted import native from timeit import timeit from time import time import os import sys # Side test: some stuff about MROs and generics if sys.version_info[:3] > (3, 5, 2): assert tuple(x.__name__ for x in interpreted.SumVisitor.mro()) == ('SumVisitor', 'TreeVisitor', 'Generic', 'object') assert tuple(x.__name__ for x in native.SumVisitor.mro()) == ('SumVisitor', 'TreeVisitor', 'Generic', 'object') assert str(native.TreeVisitor[native.T]) == "native.TreeVisitor[~T]" assert native.TreeVisitor.__name__ == "TreeVisitor" assert native.SumVisitor.__name__ == "SumVisitor" def dumb_time(f): t0 = time() f() t1 = time() return t1 - t0 def basic_test(m): tree = m.build(5) tree2 = m.build(5) tree2.right.right.right.value = 10 assert m.sum_tree(tree) == 57 assert m.equal(tree, tree) assert not m.equal(tree, tree2) assert isinstance(native.SumVisitor(), native.TreeVisitor) return tree def test(m): tree = basic_test(m) g = {**globals(), **locals()} fsum = dumb_time(lambda: m.bench_sum_tree(tree)) feq = dumb_time(lambda: m.bench_equal_tree(tree, tree)) return fsum, feq basic_test(native) if os.environ.get('MYPYC_RUN_BENCH') == '1': nfsum, nfeq = test(native) ifsum, ifeq = test(interpreted) print(nfsum) print("Sum speedup:", ifsum/nfsum) print("Equal speedup:", ifeq/nfeq) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-bools.test0000644000175100017510000002051415112307767020131 0ustar00runnerrunner# Test cases for booleans (compile and run) [case testTrueAndFalse] def t() -> bool: return True def f() -> bool: return False [file driver.py] from native import t, f print(t()) print(f()) [out] True False [case testBoolOps] from __future__ import annotations from typing import Optional, Any MYPY = False if MYPY: from mypy_extensions import i64 def f(x: bool) -> bool: if x: return False else: return True def test_if() -> None: assert f(True) is False assert f(False) is True def test_bitwise_and() -> None: # Use eval() to avoid constant folding t: bool = eval('True') f: bool = eval('False') assert t & t == True assert t & f == False assert f & t == False assert f & f == False t &= t assert t == True t &= f assert t == False def test_bitwise_or() -> None: # Use eval() to avoid constant folding t: bool = eval('True') f: bool = eval('False') assert t | t == True assert t | f == True assert f | t == True assert f | f == False t |= f assert t == True f |= t assert f == True def test_bitwise_xor() -> None: # Use eval() to avoid constant folding t: bool = eval('True') f: bool = eval('False') assert t ^ t == False assert t ^ f == True assert f ^ t == True assert f ^ f == False t ^= f assert t == True t ^= t assert t == False f ^= f assert f == False def test_isinstance_bool() -> None: a = True b = 1.0 c = 1 d = False assert isinstance(a, bool) == True assert isinstance(b, bool) == False assert isinstance(c, bool) == False assert isinstance(d, bool) == True class C: pass class D: def __init__(self, b: bool) -> None: self.b = b def __bool__(self) -> bool: return self.b class E: pass class F(E): def __init__(self, b: bool) -> None: self.b = b def __bool__(self) -> bool: return self.b def optional_to_bool1(o: Optional[C]) -> bool: return bool(o) def optional_to_bool2(o: Optional[D]) -> bool: return bool(o) def optional_to_bool3(o: Optional[E]) -> bool: return bool(o) def test_optional_to_bool() -> None: assert not optional_to_bool1(None) assert optional_to_bool1(C()) assert not optional_to_bool2(None) assert not optional_to_bool2(D(False)) assert optional_to_bool2(D(True)) assert not optional_to_bool3(None) assert optional_to_bool3(E()) assert not optional_to_bool3(F(False)) assert optional_to_bool3(F(True)) def not_c(c: C) -> bool: return not c def not_c_opt(c: C | None) -> bool: return not c def not_d(d: D) -> bool: return not d def not_d_opt(d: D | None) -> bool: return not d def test_not_instance() -> None: assert not not_c(C()) assert not_c_opt(None) assert not not_c_opt(C()) assert not_d(D(False)) assert not not_d(D(True)) assert not_d_opt(D(False)) assert not_d_opt(None) assert not not_d_opt(D(True)) def test_any_to_bool() -> None: a: Any = int() b: Any = a + 1 assert not bool(a) assert bool(b) def eq(x: bool, y: bool) -> bool: return x == y def ne(x: bool, y: bool) -> bool: return x != y def lt(x: bool, y: bool) -> bool: return x < y def le(x: bool, y: bool) -> bool: return x <= y def gt(x: bool, y: bool) -> bool: return x > y def ge(x: bool, y: bool) -> bool: return x >= y def test_comparisons() -> None: for x in True, False: for y in True, False: x2: Any = x y2: Any = y assert eq(x, y) == (x2 == y2) assert ne(x, y) == (x2 != y2) assert lt(x, y) == (x2 < y2) assert le(x, y) == (x2 <= y2) assert gt(x, y) == (x2 > y2) assert ge(x, y) == (x2 >= y2) def eq_mixed(x: bool, y: int) -> bool: return x == y def neq_mixed(x: int, y: bool) -> bool: return x != y def lt_mixed(x: bool, y: int) -> bool: return x < y def gt_mixed(x: int, y: bool) -> bool: return x > y def test_mixed_comparisons() -> None: for x in True, False: for n in -(1 << 70), -123, 0, 1, 1753, 1 << 70: assert eq_mixed(x, n) == (int(x) == n) assert neq_mixed(n, x) == (n != int(x)) assert lt_mixed(x, n) == (int(x) < n) assert gt_mixed(n, x) == (n > int(x)) def add(x: bool, y: bool) -> int: return x + y def add_mixed(b: bool, n: int) -> int: return b + n def sub_mixed(n: int, b: bool) -> int: return n - b def test_arithmetic() -> None: for x in True, False: for y in True, False: assert add(x, y) == int(x) + int(y) for n in -(1 << 70), -123, 0, 1, 1753, 1 << 70: assert add_mixed(x, n) == int(x) + n assert sub_mixed(n, x) == n - int(x) def add_mixed_i64(b: bool, n: i64) -> i64: return b + n def sub_mixed_i64(n: i64, b: bool) -> i64: return n - b def test_arithmetic_i64() -> None: for x in True, False: for n in -(1 << 62), -123, 0, 1, 1753, 1 << 62: assert add_mixed_i64(x, n) == int(x) + n assert sub_mixed_i64(n, x) == n - int(x) def eq_mixed_i64(x: bool, y: i64) -> bool: return x == y def neq_mixed_i64(x: i64, y: bool) -> bool: return x != y def lt_mixed_i64(x: bool, y: i64) -> bool: return x < y def gt_mixed_i64(x: i64, y: bool) -> bool: return x > y def test_mixed_comparisons_i64() -> None: for x in True, False: for n in -(1 << 62), -123, 0, 1, 1753, 1 << 62: assert eq_mixed_i64(x, n) == (int(x) == n) assert neq_mixed_i64(n, x) == (n != int(x)) assert lt_mixed_i64(x, n) == (int(x) < n) assert gt_mixed_i64(n, x) == (n > int(x)) def not_object(x: object) -> bool: return not x def not_str(x: str) -> bool: return not x def not_int(x: int) -> bool: return not x def not_list(x: list[int]) -> bool: return not x def not_tuple(x: tuple[int, ...]) -> bool: return not x def not_dict(x: dict[str, int]) -> bool: return not x def test_not_object() -> None: assert not_object(None) assert not_object([]) assert not_object(0) assert not not_object(1) assert not not_object([1]) def test_not_str() -> None: assert not_str(str()) assert not not_str('x' + str()) def test_not_int() -> None: assert not_int(int('0')) assert not not_int(int('1')) assert not not_int(int('-1')) def test_not_list() -> None: assert not_list([]) assert not not_list([1]) def test_not_tuple() -> None: assert not_tuple(()) assert not not_tuple((1,)) def test_not_dict() -> None: assert not_dict({}) assert not not_dict({'x': 1}) def not_str_opt(x: str | None) -> bool: return not x def not_int_opt(x: int | None) -> bool: return not x def not_list_opt(x: list[int] | None) -> bool: return not x def not_tuple_opt(x: tuple[int, ...] | None) -> bool: return not x def not_dict_opt(x: dict[str, int] | None) -> bool: return not x def test_not_str_opt() -> None: assert not_str_opt(str()) assert not_str_opt(None) assert not not_str_opt('x' + str()) def test_not_int_opt() -> None: assert not_int_opt(int('0')) assert not_int_opt(None) assert not not_int_opt(int('1')) assert not not_int_opt(int('-1')) def test_not_list_opt() -> None: assert not_list_opt([]) assert not_list_opt(None) assert not not_list_opt([1]) def test_not_tuple_opt() -> None: assert not_tuple_opt(()) assert not_tuple_opt(None) assert not not_tuple_opt((1,)) def test_not_dict_opt() -> None: assert not_dict_opt({}) assert not_dict_opt(None) assert not not_dict_opt({'x': 1}) [case testBoolMixInt] def test_mix() -> None: y = False print((y or 0) and True) [out] 0 [case testIsInstance] from typing import Any def test_built_in() -> None: true: Any = True false: Any = False assert isinstance(true, bool) assert isinstance(false, bool) assert not isinstance(set(), bool) assert not isinstance((), bool) assert not isinstance((True, False), bool) assert not isinstance({False, True}, bool) assert not isinstance(int() + 1, bool) assert not isinstance(str() + 'False', bool) def test_user_defined() -> None: from userdefinedbool import bool b: Any = True assert isinstance(bool(), bool) assert not isinstance(b, bool) [file userdefinedbool.py] class bool: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-bytes.test0000644000175100017510000002655315112307767020152 0ustar00runnerrunner# Bytes test cases (compile and run) [case testBytesBasics] # Note: Add tests for additional operations to testBytesOps or in a new test case def f(x: bytes) -> bytes: return x def eq(a: bytes, b: bytes) -> bool: return a == b def neq(a: bytes, b: bytes) -> bool: return a != b [file driver.py] from native import f, eq, neq assert f(b'123') == b'123' assert f(b'\x07 \x0b " \t \x7f \xf0') == b'\x07 \x0b " \t \x7f \xf0' assert eq(b'123', b'123') assert not eq(b'123', b'1234') assert not eq(b'123', b'124') assert not eq(b'123', b'223') assert neq(b'123', b'1234') try: f('x') assert False except TypeError: pass [case testBytesInit] def test_bytes_init() -> None: b1 = bytes([5]) assert b1 == b'\x05' b2 = bytes([5, 10, 12]) assert b2 == b'\x05\n\x0c' b3 = bytes(bytearray(b'foo')) assert b3 == b'foo' b4 = bytes(b'aaa') assert b4 == b'aaa' b5 = bytes(5) assert b5 == b'\x00\x00\x00\x00\x00' try: bytes('x') assert False except TypeError: pass [case testBytesOps] from testutil import assertRaises def test_indexing() -> None: # Use bytes() to avoid constant folding b = b'asdf' + bytes() assert b[0] == 97 assert b[1] == 115 assert b[3] == 102 assert b[-1] == 102 b = b'\xae\x80\xfe\x15' + bytes() assert b[0] == 174 assert b[1] == 128 assert b[2] == 254 assert b[3] == 21 assert b[-4] == 174 with assertRaises(IndexError, "index out of range"): b[4] with assertRaises(IndexError, "index out of range"): b[-5] with assertRaises(IndexError, "index out of range"): b[2**26] def test_concat() -> None: b1 = b'123' + bytes() b2 = b'456' + bytes() assert b1 + b2 == b'123456' b3 = b1 + b2 b3 = b3 + b1 assert b3 == b'123456123' assert b1 == b'123' assert b2 == b'456' assert type(b1) == bytes assert type(b2) == bytes assert type(b3) == bytes brr1: bytes = bytearray(3) brr2: bytes = bytearray(range(5)) b4 = b1 + brr1 assert b4 == b'123\x00\x00\x00' assert type(brr1) == bytearray assert type(b4) == bytes brr3 = brr1 + brr2 assert brr3 == bytearray(b'\x00\x00\x00\x00\x01\x02\x03\x04') assert len(brr3) == 8 assert type(brr3) == bytearray brr3 = brr3 + bytearray([10]) assert brr3 == bytearray(b'\x00\x00\x00\x00\x01\x02\x03\x04\n') b5 = brr2 + b2 assert b5 == bytearray(b'\x00\x01\x02\x03\x04456') assert type(b5) == bytearray b5 = b2 + brr2 assert b5 == b'456\x00\x01\x02\x03\x04' assert type(b5) == bytes def test_join() -> None: seq = (b'1', b'"', b'\xf0') assert b'\x07'.join(seq) == b'1\x07"\x07\xf0' assert b', '.join(()) == b'' assert b', '.join([bytes() + b'ab']) == b'ab' assert b', '.join([bytes() + b'ab', b'cd']) == b'ab, cd' def test_len() -> None: # Use bytes() to avoid constant folding b = b'foo' + bytes() assert len(b) == 3 assert len(bytes()) == 0 def test_ord() -> None: assert ord(b'a') == ord('a') assert ord(b'a' + bytes()) == ord('a') assert ord(b'\x00') == 0 assert ord(b'\x00' + bytes()) == 0 assert ord(b'\xfe') == 254 assert ord(b'\xfe' + bytes()) == 254 with assertRaises(TypeError): ord(b'aa') with assertRaises(TypeError): ord(b'') def test_ord_bytesarray() -> None: assert ord(bytearray(b'a')) == ord('a') assert ord(bytearray(b'\x00')) == 0 assert ord(bytearray(b'\xfe')) == 254 with assertRaises(TypeError): ord(bytearray(b'aa')) with assertRaises(TypeError): ord(bytearray(b'')) [case testBytesSlicing] def test_bytes_slicing() -> None: b = b'abcdefg' zero = int() ten = 10 + zero two = 2 + zero five = 5 + zero seven = 7 + zero assert b[:ten] == b'abcdefg' assert b[0:seven] == b'abcdefg' assert b[0:(len(b)+1)] == b'abcdefg' assert b[two:five] == b'cde' assert b[two:two] == b'' assert b[-two:-two] == b'' assert b[-ten:(-ten+1)] == b'' assert b[:-two] == b'abcde' assert b[:two] == b'ab' assert b[:] == b'abcdefg' assert b[-two:] == b'fg' assert b[zero:] == b'abcdefg' assert b[:zero] == b'' assert b[-ten:] == b'abcdefg' assert b[-ten:ten] == b'abcdefg' big_ints = [1000 * 1000 * 1000 * 1000 * 1000 * 1000 * 1000, 2**24, 2**63] for big_int in big_ints: assert b[1:big_int] == b'bcdefg' assert b[big_int:] == b'' assert b[-big_int:-1] == b'abcdef' assert b[-big_int:big_int] == b'abcdefg' assert type(b[-big_int:-1]) == bytes assert type(b[-ten:]) == bytes assert type(b[:]) == bytes [case testBytearrayBasics] from typing import Any def test_basics() -> None: brr1: bytes = bytearray(3) assert brr1 == bytearray(b'\x00\x00\x00') assert brr1 == b'\x00\x00\x00' l = [10, 20, 30, 40] brr2: bytes = bytearray(l) assert brr2 == bytearray(b'\n\x14\x1e(') assert brr2 == b'\n\x14\x1e(' brr3: bytes = bytearray(range(5)) assert brr3 == bytearray(b'\x00\x01\x02\x03\x04') assert brr3 == b'\x00\x01\x02\x03\x04' brr4: bytes = bytearray('string', 'utf-8') assert brr4 == bytearray(b'string') assert brr4 == b'string' assert len(brr1) == 3 assert len(brr2) == 4 def f(b: bytes) -> bool: return True def test_bytearray_passed_into_bytes() -> None: assert f(bytearray(3)) brr1: Any = bytearray() assert f(brr1) [case testBytearraySlicing] def test_bytearray_slicing() -> None: b: bytes = bytearray(b'abcdefg') zero = int() ten = 10 + zero two = 2 + zero five = 5 + zero seven = 7 + zero assert b[:ten] == b'abcdefg' assert b[0:seven] == b'abcdefg' assert b[two:five] == b'cde' assert b[two:two] == b'' assert b[-two:-two] == b'' assert b[-ten:(-ten+1)] == b'' assert b[:-two] == b'abcde' assert b[:two] == b'ab' assert b[:] == b'abcdefg' assert b[-two:] == b'fg' assert b[zero:] == b'abcdefg' assert b[:zero] == b'' assert b[-ten:] == b'abcdefg' assert b[-ten:ten] == b'abcdefg' big_ints = [1000 * 1000 * 1000 * 1000 * 1000 * 1000 * 1000, 2**24, 2**63] for big_int in big_ints: assert b[1:big_int] == b'bcdefg' assert b[big_int:] == b'' assert b[-big_int:-1] == b'abcdef' assert b[-big_int:big_int] == b'abcdefg' assert type(b[-big_int:-1]) == bytearray assert type(b[-ten:]) == bytearray assert type(b[:]) == bytearray [case testBytearrayIndexing] from testutil import assertRaises def test_bytearray_indexing() -> None: b: bytes = bytearray(b'\xae\x80\xfe\x15') assert b[0] == 174 assert b[1] == 128 assert b[2] == 254 assert b[3] == 21 assert b[-4] == 174 with assertRaises(IndexError, "index out of range"): b[4] with assertRaises(IndexError, "index out of range"): b[-5] b2 = bytearray([175, 255, 128, 22]) assert b2[0] == 175 assert b2[1] == 255 assert b2[-1] == 22 assert b2[2] == 128 with assertRaises(ValueError, "byte must be in range(0, 256)"): b2[0] = -1 with assertRaises(ValueError, "byte must be in range(0, 256)"): b2[0] = 256 [case testBytesJoin] from typing import Any from testutil import assertRaises from a import bytes_subclass def test_bytes_join() -> None: assert b' '.join([b'a', b'b']) == b'a b' assert b' '.join([]) == b'' x: bytes = bytearray(b' ') assert x.join([b'a', b'b']) == b'a b' assert type(x.join([b'a', b'b'])) == bytearray y: bytes = bytes_subclass() assert y.join([]) == b'spook' n: Any = 5 with assertRaises(TypeError, "can only join an iterable"): assert b' '.join(n) [file a.py] class bytes_subclass(bytes): def join(self, iter): return b'spook' [case testBytesFormatting] from testutil import assertRaises # https://www.python.org/dev/peps/pep-0461/ def test_bytes_formatting() -> None: val = 10 assert b"%x" % val == b'a' assert b'%4x' % val == b' a' assert b'%#4x' % val == b' 0xa' assert b'%04X' % val == b'000A' assert b'%c' % 48 == b'0' assert b'%c' % b'a' == b'a' assert b'%c%c' % (48, b'a') == b'0a' assert b'%b' % b'abc' == b'abc' assert b'%b' % 'some string'.encode('utf8') == b'some string' assert b'%a' % 3.14 == b'3.14' assert b'%a' % b'abc' == b"b'abc'" assert b'%a' % 'def' == b"'def'" def test_bytes_formatting_2() -> None: var = b'bb' num = 10 assert b'aaa%bbbb%s' % (var, var) == b'aaabbbbbbb' assert b'aaa%dbbb%b' % (num, var) == b'aaa10bbbbb' assert b'%s%b' % (var, var) == b'bbbb' assert b'%b' % bytes() == b'' assert b'%b' % b'' == b'' assert b'\xff%s' % b'\xff' == b'\xff\xff' assert b'\xff%b' % '你好'.encode() == b'\xff\xe4\xbd\xa0\xe5\xa5\xbd' aa = b'\xe4\xbd\xa0\xe5\xa5\xbd%b' % b'\xe4\xbd\xa0\xe5\xa5\xbd' assert aa == b'\xe4\xbd\xa0\xe5\xa5\xbd\xe4\xbd\xa0\xe5\xa5\xbd' assert aa.decode() == '你好你好' [typing fixtures/typing-full.pyi] class A: def __bytes__(self): return b'aaa' def test_bytes_dunder() -> None: assert b'%b' % A() == b'aaa' assert b'%s' % A() == b'aaa' [case testIsInstance] from copysubclass import subbytes, subbytearray from typing import Any def test_bytes() -> None: b: Any = b'' assert isinstance(b, bytes) assert isinstance(b + b'123', bytes) assert isinstance(b + b'\xff', bytes) assert isinstance(subbytes(), bytes) assert isinstance(subbytes(b + b'123'), bytes) assert isinstance(subbytes(b + b'\xff'), bytes) assert not isinstance(set(), bytes) assert not isinstance((), bytes) assert not isinstance((b'1',b'2',b'3'), bytes) assert not isinstance({b'a',b'b'}, bytes) assert not isinstance(int() + 1, bytes) assert not isinstance(str() + 'a', bytes) def test_user_defined_bytes() -> None: from userdefinedbytes import bytes assert isinstance(bytes(), bytes) assert not isinstance(b'\x7f', bytes) def test_bytearray() -> None: assert isinstance(bytearray(), bytearray) assert isinstance(bytearray(b'123'), bytearray) assert isinstance(bytearray(b'\xff'), bytearray) assert isinstance(subbytearray(), bytearray) assert isinstance(subbytearray(bytearray(b'123')), bytearray) assert isinstance(subbytearray(bytearray(b'\xff')), bytearray) assert not isinstance(set(), bytearray) assert not isinstance((), bytearray) assert not isinstance((bytearray(b'1'),bytearray(b'2'),bytearray(b'3')), bytearray) assert not isinstance([bytearray(b'a'),bytearray(b'b')], bytearray) assert not isinstance(int() + 1, bytearray) assert not isinstance(str() + 'a', bytearray) [file copysubclass.py] class subbytes(bytes): pass class subbytearray(bytearray): pass [file userdefinedbytes.py] class bytes: pass [case testBytesOptionalEquality] from __future__ import annotations def eq_b_opt_b(x: bytes | None, y: bytes) -> bool: return x == y def ne_b_b_opt(x: bytes, y: bytes | None) -> bool: return x != y def test_optional_eq() -> None: b = b'x' assert eq_b_opt_b(b, b) assert eq_b_opt_b(b + bytes([int()]), b + bytes([int()])) assert not eq_b_opt_b(b'x', b'y') assert not eq_b_opt_b(b'y', b'x') assert not eq_b_opt_b(None, b'x') def test_optional_ne() -> None: b = b'x' assert not ne_b_b_opt(b, b) assert not ne_b_b_opt(b + b'y', b + bytes() + b'y') assert ne_b_b_opt(b'x', b'y') assert ne_b_b_opt(b'y', b'x') assert ne_b_b_opt(b'x', None) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-classes.test0000644000175100017510000037612515112307767020464 0ustar00runnerrunner[case testEmptyClass] class Empty: pass def f(e: Empty) -> Empty: return e class EmptyEllipsis: ... def g(e: EmptyEllipsis) -> EmptyEllipsis: return e [file driver.py] from native import Empty, EmptyEllipsis, f, g print(isinstance(Empty, type)) print(Empty) print(str(Empty())[:20]) e = Empty() print(f(e) is e) print(isinstance(EmptyEllipsis, type)) print(EmptyEllipsis) print(str(EmptyEllipsis())[:28]) e2 = EmptyEllipsis() print(g(e2) is e2) [out] True None: c = C() c.x = 1 c.y = 2 c.z = 3 del c.x del c.y assert c.z == 3 with assertRaises(AttributeError, "attribute 'x' of 'C' undefined"): c.x with assertRaises(AttributeError, "attribute 'y' of 'C' undefined"): c.y def test_delete_any() -> None: c: Any = C() c.x = 1 c.y = 2 c.z = 3 del c.x del c.y with assertRaises(AttributeError, "'C' object attribute 'z' cannot be deleted"): del c.z assert c.z == 3 with assertRaises(AttributeError): c.x with assertRaises(AttributeError): c.y class Base: __deletable__ = ['a'] a: int b: int class Deriv(Base): __deletable__ = ('c',) c: str d: str def test_delete_with_inheritance() -> None: d = Deriv() d.a = 0 d.b = 1 d.c = 'X' d.d = 'Y' del d.a with assertRaises(AttributeError): d.a del d.c with assertRaises(AttributeError): d.c assert d.b == 1 assert d.d == 'Y' def test_delete_with_inheritance_any() -> None: d: Any = Deriv() d.a = 0 d.b = 1 d.c = 'X' d.d = 'Y' del d.a with assertRaises(AttributeError): d.a del d.c with assertRaises(AttributeError): d.c with assertRaises(AttributeError): del d.b assert d.b == 1 with assertRaises(AttributeError): del d.d assert d.d == 'Y' def decorator(cls): return cls @decorator class NonExt: x: int y: int # No effect in a non-native class __deletable__ = ['x'] def test_non_ext() -> None: n = NonExt() n.x = 2 n.y = 3 del n.x del n.y with assertRaises(AttributeError): n.x with assertRaises(AttributeError): n.y def test_non_ext_any() -> None: n: Any = NonExt() n.x = 2 n.y = 3 del n.x del n.y with assertRaises(AttributeError): n.x with assertRaises(AttributeError): n.y [case testNonExtMisc] from typing import Any, overload def decorator(cls) -> Any: return cls @decorator class C: def __init__(self) -> None: self.c = 3 def get_c(self) -> int: return self.c @decorator class B(C): def __init__(self) -> None: super().__init__() self.b = 2 def get_b(self) -> int: return self.b @decorator class A(B): def __init__(self) -> None: super().__init__() self.a = 1 @classmethod def constant(cls) -> int: return 4 def get_a(self) -> int: return self.a @decorator class Overload: @overload def get(self, index: int) -> int: ... @overload def get(self, index: str) -> str: ... def get(self, index: Any) -> Any: return index def get(c: Overload, s: str) -> str: return c.get(s) @decorator class Var: x = 'xy' def get_class_var() -> str: return Var.x [file driver.py] from native import A, Overload, get, get_class_var a = A() assert a.a == 1 assert a.b == 2 assert a.c == 3 assert a.get_a() == 1 assert a.get_b() == 2 assert a.get_c() == 3 assert A.constant() == 4 o = Overload() assert get(o, "test") == "test" assert o.get(20) == 20 assert get_class_var() == 'xy' [case testEnum] from enum import Enum class TestEnum(Enum): _order_ = "a b" a = 1 b = 2 @classmethod def test(cls) -> int: return 3 assert TestEnum.test() == 3 import enum class Pokemon(enum.Enum): magikarp = 1 squirtle = 2 slowbro = 3 assert Pokemon.magikarp.value == 1 assert Pokemon.squirtle.name == 'squirtle' [file other.py] # Force a multi-module test to make sure we can compile multi-file with # non-extension classes [file driver.py] import sys # "_order_" isn't supported in 3.5 if sys.version_info[:2] > (3, 5): from native import TestEnum assert TestEnum.a.name == 'a' assert TestEnum.a.value == 1 assert TestEnum.b.name == 'b' assert TestEnum.b.value == 2 [case testRunSuperYieldFromDict] from typing import Any, Iterator class DictSubclass(dict): def items(self) -> Iterator[Any]: yield 1 yield from super().items() def test_sub_dict() -> None: assert list(DictSubclass().items()) == [1] [case testGetAttribute] class C: x: int y: int def getx(c: C) -> int: return c.x def gety(c: C) -> int: return c.y [file driver.py] from native import C, getx, gety c = C() c.x = 10**30 c.y = 10**30 + 1 print(getx(c)) print(gety(c)) [out] 1000000000000000000000000000000 1000000000000000000000000000001 [case testSetAttribute] class C: x: int y: int def setx(c: C, v: int) -> None: c.x = v def sety(c: C, v: int) -> None: c.y = v [file driver.py] from native import C, setx, sety c = C() setx(c, 10**30) sety(c, 10**30 + 1) print(c.x) print(c.y) setx(c, 4) sety(c, 5) print(c.x, c.y) setx(c, 10**30 + 2) sety(c, 10**30 + 3) print(c.x) print(c.y) [out] 1000000000000000000000000000000 1000000000000000000000000000001 4 5 1000000000000000000000000000002 1000000000000000000000000000003 [case testAttributeTypes] from typing import List, Tuple class C: a: List[int] b: bool c: C d: object e: int def setattrs(o: C, a: List[int], b: bool, c: C) -> None: o.a = a o.b = b o.c = c def getattrs(o: C) -> Tuple[List[int], bool, C]: return o.a, o.b, o.c [file driver.py] from native import C, setattrs, getattrs from testutil import assertRaises c1 = C() c2 = C() aa = [2] setattrs(c1, aa, True, c2) a, b, c = getattrs(c1) assert a is aa assert b is True assert c is c2 o = object() c1.d = o assert c1.d is o c3 = C() with assertRaises(AttributeError, "attribute 'a' of 'C' undefined"): c3.a with assertRaises(AttributeError, "attribute 'b' of 'C' undefined"): c3.b with assertRaises(AttributeError, "attribute 'c' of 'C' undefined"): c3.c with assertRaises(AttributeError, "attribute 'd' of 'C' undefined"): c3.d with assertRaises(AttributeError, "attribute 'e' of 'C' undefined"): c3.e [case testInitMethodWithMissingNoneReturnAnnotation] class C: def __init__(self): self.x = 42 [file driver.py] from native import C c = C() assert c is not None assert c.x == 42 [case testConstructClassWithDefaultConstructor] class C: a: int b: int def f() -> C: c = C() c.a = 13 return c [file driver.py] from native import f, C c = f() assert c.a == 13 assert type(c) == C assert not hasattr(c, 'b') [case testCastUserClass] from typing import List class C: x: int def f(a: List[C]) -> C: return a[0] [file driver.py] from native import f, C c = C() assert f([c]) is c [case testClass1] class A: def __init__(self, x: int) -> None: self.x = x def foo(self) -> int: return self.x+1 def foo() -> int: a = A(20) return a.foo() [file driver.py] from native import A, foo a = A(10) assert a.foo() == 11 assert foo() == 21 [case testClassKwargs] class X: def __init__(self, msg: str, **variables: int) -> None: self.msg = msg self.variables = variables [file driver.py] import traceback from native import X x = X('hello', a=0, b=1) assert x.msg == 'hello' assert x.variables == {'a': 0, 'b': 1} try: X('hello', msg='hello') except TypeError as e: print(f"{type(e).__name__}: {e}") [out] TypeError: argument for __init__() given by name ('msg') and position (1) [case testGenericClass] from typing import TypeVar, Generic, Sequence T = TypeVar('T') class C(Generic[T]): x: T def __init__(self, x: T) -> None: self.x = x def get(self) -> T: return self.x def set(self, y: T) -> None: self.x = y # Test subclassing generic classes both with and without a generic param class A(Sequence[int]): pass class B(Sequence[T]): pass def f(c: C[int]) -> int: y = c.get() d = C[int](2) c.set(c.get() + 1 + d.get()) c.x = c.x + 2 return c.x [file driver.py] from native import C, f c = C(6) assert f(c) == 11 c.x = 'x' assert c.x == 'x' c.set([1]) assert c.x == [1] assert c.get() == [1] [case testSubclass1] from typing import Tuple class A: def __init__(self) -> None: self.x = 10 def hi(self, suffix: str) -> str: return str(self.x) + suffix class B(A): def __init__(self) -> None: self.x = 20 self.y = 'world' def hi(self, suffix: str) -> str: return 'hello ' + str(self.y) + suffix def use_a(x: A) -> Tuple[int, str]: return (x.x, x.hi('')) def use_b(x: B) -> str: return x.hi('') [file driver.py] from native import A, B, use_a, use_b a = A() b = B() assert use_a(a) == (10, '10') assert use_a(b) == (20, 'hello world') assert a.x == 10 assert b.x == 20 assert b.y == 'world' assert a.hi('!') == '10!' assert b.hi('!') == 'hello world!' assert use_b(b) == 'hello world' [case testSubclassSpecialize1] class A: def foo(self, x: int) -> object: print('A') return str(x) def bar(self, x: int) -> None: print(x + 1) class B(A): def foo(self, x: object) -> int: print('B') return id(x) def bar(self, x: object) -> None: print(x) def use_a(x: A, y: int) -> object: x.bar(10) return x.foo(y) def use_b(x: B, y: object) -> int: return x.foo(y) [file driver.py] from native import A, B, use_a, use_b a = A() b = B() o = object() i = 10 assert a.foo(10) == '10' assert b.foo(o) == id(o) assert use_a(a, 10) == '10' assert use_b(b, o) == id(o) assert use_a(b, i) == id(i) [out] A B 11 A B 10 B [case testSubclassSpecialize2] class A: def foo(self, x: int) -> object: print('A') return str(x) class B(A): def foo(self, x: object) -> object: print('B') return x class C(B): def foo(self, x: object) -> int: print('C') return id(x) def use_a(x: A, y: int) -> object: return x.foo(y) def use_b(x: B, y: object) -> object: return x.foo(y) def use_c(x: C, y: object) -> int: return x.foo(y) [file driver.py] from native import A, B, C, use_a, use_b, use_c a = A() b = B() c = C() o = object() i = 10 assert a.foo(10) == '10' assert b.foo(o) == o assert c.foo(o) == id(o) assert use_a(a, 10) == '10' assert use_a(b, i) is i assert use_a(c, i) == id(i) assert use_b(b, o) == o assert use_b(c, o) == id(o) assert use_c(c, o) == id(o) [out] A B C A B C B C C [case testIsInstance] from typing import Optional class X: pass class A(X): pass class B(A): pass def isa(x: object) -> bool: return isinstance(x, A) def isint(x: object) -> bool: return isinstance(x, int) def isstr(x: object) -> bool: return isinstance(x, str) def islist(x: object) -> bool: return isinstance(x, list) def ist(x: object, t: object) -> bool: # TODO: Second argument should be 'type' return isinstance(x, t) def pointless(x: Optional[X]) -> str: if isinstance(x, A): return str(x) return '' [file driver.py] from native import X, A, B, isa, isint, isstr, islist, ist assert isa(1) == False assert isa(A()) == True assert isa(B()) == True assert isa(X()) == False assert isint(1) == True assert isint('') == False assert isint(A()) == False assert isstr(1) == False assert isstr('') == True assert islist(1) == False assert islist([]) == True assert ist(1, int) == True assert ist(1, str) == False try: ist(1, 2) except TypeError: pass else: assert False [case testSubclassUninitAttr] class X: x: int class A(X): pass [file driver.py] import traceback from native import A try: A().x except AttributeError: traceback.print_exc() [out] Traceback (most recent call last): File "driver.py", line 4, in A().x AttributeError: attribute 'x' of 'X' undefined [case testClassMethods] from typing import ClassVar, Any, final from mypy_extensions import mypyc_attr from interp import make_interpreted_subclass class C: lurr: ClassVar[int] = 9 @staticmethod def foo(x: int) -> int: return 10 + x @classmethod def bar(cls, x: int) -> int: return cls.lurr + x @staticmethod def baz(x: int, y: int = 10) -> int: return y - x @classmethod def quux(cls, x: int, y: int = 10) -> int: return y - x @classmethod def call_other(cls, x: int) -> int: return cls.quux(x, 3) class D(C): def f(self) -> int: return super().foo(1) + super().bar(2) + super().baz(10) + super().quux(10) def ctest1() -> int: return C.foo(1) + C.bar(2) + C.baz(10) + C.quux(10) + C.quux(y=10, x=9) def ctest2() -> int: c = C() return c.foo(1) + c.bar(2) + c.baz(10) CAny: Any = C def test_classmethod_using_any() -> None: assert CAny.foo(10) == 20 assert CAny.bar(10) == 19 def test_classmethod_on_instance() -> None: c = C() assert c.foo(10) == 20 assert c.bar(10) == 19 assert c.call_other(1) == 2 def test_classmethod_misc() -> None: assert ctest1() == 23 assert ctest2() == 22 assert C.call_other(2) == 1 def test_classmethod_using_super() -> None: d = D() assert d.f() == 22 @final class F1: @classmethod def f(cls, x: int) -> int: return cls.g(x) @classmethod def g(cls, x: int) -> int: return x + 1 class F2: # Implicitly final (no subclasses) @classmethod def f(cls, x: int) -> int: return cls.g(x) @classmethod def g(cls, x: int) -> int: return x + 1 def test_classmethod_of_final_class() -> None: assert F1.f(5) == 6 assert F2.f(7) == 8 @mypyc_attr(allow_interpreted_subclasses=True) class CI: @classmethod def f(cls, x: int) -> int: return cls.g(x) @classmethod def g(cls, x: int) -> int: return x + 1 def test_classmethod_with_allow_interpreted() -> None: assert CI.f(4) == 5 sub = make_interpreted_subclass(CI) assert sub.f(4) == 7 [file interp.py] def make_interpreted_subclass(base): class Sub(base): @classmethod def g(cls, x: int) -> int: return x + 3 return Sub [case testSuper] from mypy_extensions import trait from typing import List class A: def __init__(self, x: int) -> None: self.x = x def foo(self, x: int) -> int: return x class B(A): def __init__(self, x: int, y: int) -> None: super().__init__(x) self.y = y def foo(self, x: int) -> int: return super().foo(x+1) class C(B): def __init__(self, x: int, y: int) -> None: super(C, self).__init__(x, y + 1) def foo(self, x: int) -> int: # should go to A, not B return super(B, self).foo(x+1) class X: def __init__(self, x: int) -> None: self.x = x class Y(X): pass class Z(Y): def __init__(self, x: int, y: int) -> None: super().__init__(x) self.y = y @trait class T: def v_int(self, x: int) -> None: pass def v_list(self, x: List[int]) -> None: if x: self.v_int(x[0]) self.v_list(x[1:]) class PrintList(T): def v_int(self, x: int) -> None: print(x) def v_list(self, x: List[int]) -> None: print('yo!') super().v_list(x) [file driver.py] import traceback from native import * b = B(10, 20) assert b.x == 10 and b.y == 20 c = C(10, 20) assert c.x == 10 and c.y == 21 z = Z(10, 20) assert z.x == 10 and z.y == 20 assert c.foo(10) == 11 PrintList().v_list([1,2,3]) [out] yo! 1 yo! 2 yo! 3 yo! [case testSubclassException] class Failure(Exception): def __init__(self, x: int) -> None: self.x = x def foo() -> None: raise Failure(10) def heyo() -> int: try: foo() except Failure as e: return e.x return -1 [file driver.py] from native import foo, heyo, Failure try: foo() except Failure as e: assert str(e) == '10' assert e.x == 10 heyo() [case testSubclassDict] from typing import Dict class WelpDict(Dict[str, int]): def __init__(self) -> None: self.emarhavil = 3 def foo(self) -> int: return self.emarhavil def welp() -> int: x = WelpDict() x['a'] = 10 x['b'] = 15 x.emarhavil = 5 return x['a'] + x['b'] + x.emarhavil + x.foo() [file driver.py] from native import welp assert welp() == 35 [case testSubclassUnsupportedException] from mypy_extensions import mypyc_attr @mypyc_attr(native_class=False) class MyError(ZeroDivisionError): pass @mypyc_attr(native_class=False) class MyError2(ZeroDivisionError): def __init__(self, s: str) -> None: super().__init__(s + "!") self.x = s.upper() def f() -> None: raise MyError("foobar") def test_non_native_exception_subclass_basics() -> None: e = MyError() assert isinstance(e, MyError) assert isinstance(e, ZeroDivisionError) assert isinstance(e, Exception) e = MyError("x") assert repr(e) == "MyError('x')" e2 = MyError2("ab") assert repr(e2) == "MyError2('ab!')", repr(e2) assert e2.x == "AB" def test_raise_non_native_exception_subclass_1() -> None: try: f() except MyError: x = True else: assert False assert x def test_raise_non_native_exception_subclass_2() -> None: try: f() except ZeroDivisionError: x = True else: assert False assert x [case testSubclassPy] from b import B, V class A(B): def __init__(self, x: int, y: int) -> None: super().__init__(y) self.x = x def foo(self, x: int) -> int: print("hi", x) return x+1 class C(V[int]): def f(self) -> int: return 10 assert isinstance(C(), V) def f(x: A) -> None: print(x.x) print(x.y) print(x.foo(20)) [file b.py] from typing import Generic, TypeVar T = TypeVar('T') class B: def __init__(self, y: int) -> None: self.y = y def foo(self, x: int) -> int: print("parent!") return x + self.y def bar(self) -> None: print("hello!", self.y) class V(Generic[T]): def f(self) -> T: raise Exception('unimplemented') [file driver.py] import native a = native.A(10, 20) a.foo(10) a.bar() native.f(a) [out] hi 10 hello! 20 10 20 hi 20 21 [case testDisallowSubclassFromPy] # We'll want to allow this at some point but right now we need to # disallow it because it doesn't work. class A: pass [file b.py] from native import A # It would be better if we disallowed it at class decl time but it is # really easy to do in __new__ class B(A): pass [file driver.py] from b import B try: B() except TypeError: pass else: assert False, "instantiating was supposed to fail" [case testClassVariable] MYPY = False if MYPY: from typing import ClassVar class A: x = 10 # type: ClassVar[int] def g(x: int) -> None: A.x = 10 def f() -> int: return A.x [file driver.py] from native import A, f assert f() == 10 A.x = 200 assert f() == 200 [case testDefaultVars] from typing import Optional class A: x = 10 w: object = 10 def lol(self) -> None: self.x = 100 LOL = 'lol' class B(A): y = LOL z = None # type: Optional[str] b = True bogus = None # type: int def g() -> None: a = A() assert a.x == 10 a.x = 20 assert a.x == 20 b = B() assert b.x == 10 b.x = 20 assert b.x == 20 assert b.y == 'lol' b.y = 'rofl' assert b.y == 'rofl' assert b.z is None [file driver.py] from native import * g() a = A() assert a.x == 10 a.x = 20 assert a.x == 20 b = B() assert b.x == 10 b.x = 20 assert b.x == 20 assert b.y == 'lol' b.y = 'rofl' assert b.y == 'rofl' assert b.z is None # N.B: this doesn't match cpython assert not hasattr(b, 'bogus') [case testProtocol] from typing import Protocol class Proto(Protocol): def foo(self, x: int) -> None: pass def bar(self, x: int) -> None: pass class A: def foo(self, x: int) -> None: print("A:", x) def bar(self, *args: int, **kwargs: int) -> None: print("A:", args, kwargs) class B(A, Proto): def foo(self, x: int) -> None: print("B:", x) def bar(self, *args: int, **kwargs: int) -> None: print("B:", args, kwargs) def f(x: Proto) -> None: x.foo(20) x.bar(x=20) [file driver.py] from native import A, B, f f(A()) f(B()) # ... this exploits a bug in glue methods to distinguish whether we # are making a direct call or a pycall... [out] A: 20 A: () {'x': 20} B: 20 B: (20,) {} [case testMethodOverrideDefault1] class A: def foo(self, x: int) -> None: pass class B(A): def foo(self, x: int, y: int = 10) -> None: print(x, y) def a(x: A) -> None: x.foo(1) def b(x: B) -> None: x.foo(2) x.foo(2, 3) [file driver.py] from native import B, a, b a(B()) b(B()) [out] 1 10 2 10 2 3 [case testMethodOverrideDefault2] class A: def foo(self, *, x: int = -1) -> None: pass def bar(self, *, x: int = -1, y: int = -1) -> None: pass def baz(self, x: int = -1) -> None: pass class B(A): def foo(self, *, y: int = 0, x: int = 0) -> None: print(x, y) def bar(self, *, y: int = 0, x: int = 0) -> None: print(x, y) def baz(self, x: int = 0, *, y: int = 0) -> None: print(x, y) def a(x: A) -> None: x.foo(x=1) x.bar(x=1, y=2) x.bar(x=2, y=1) x.baz() x.baz(1) x.baz(x=2) [file driver.py] from native import B, a a(B()) [out] 1 0 1 2 2 1 0 0 1 0 2 0 [case testMethodOverrideDefault3] class A: @classmethod def foo(cls, *, x: int = 0) -> None: pass @staticmethod def bar(*, x: int = 0) -> None: pass @staticmethod def baz() -> object: pass class B(A): @classmethod def foo(cls, *, y: int = 0, x: int = 0) -> None: print(x, y) print(cls.__name__) # type: ignore @staticmethod def bar(*, y: int = 0, x: int = 0) -> None: print(x, y) @staticmethod def baz() -> int: return 10 # This is just to make sure that this stuff works even when the # methods might be overridden. class C(B): @classmethod def foo(cls, *, y: int = 0, x: int = 0) -> None: pass @staticmethod def bar(*, y: int = 0, x: int = 0) -> None: pass @staticmethod def baz() -> int: return 10 def a(x: A) -> None: x.foo(x=1) x.bar(x=1) print(x.baz()) [file driver.py] from native import B, a a(B()) [out] 1 0 B 1 0 10 [case testMethodOverrideDefault4] class Foo: def f(self, x: int=20, *, z: int=10) -> None: pass class Bar(Foo): def f(self, *args: int, **kwargs: int) -> None: print("stuff", args, kwargs) def test_override() -> None: z: Foo = Bar() z.f(1, z=50) z.f() [out] stuff (1,) {'z': 50} stuff () {} [case testMethodOverrideDefault5] from testutil import make_python_function from mypy_extensions import mypyc_attr from typing import TypeVar, Any @mypyc_attr(allow_interpreted_subclasses=True) class Foo: def f(self, x: int=20, *, z: int=10) -> None: print("Foo", x, z) @make_python_function def baz_f(self: Any, *args: int, **kwargs: int) -> None: print("Baz", args, kwargs) def test_override() -> None: # Make an "interpreted" subtype of Foo type2: Any = type Bar = type2('Bar', (Foo,), {}) Baz = type2('Baz', (Foo,), {'f': baz_f}) y: Foo = Bar() y.f(1, z=2) y.f() z: Foo = Baz() z.f(1, z=2) z.f() [out] Foo 1 2 Foo 20 10 Baz (1,) {'z': 2} Baz () {} [case testMethodOverrideDefault6] from typing import Optional class Foo: def f(self, x: int=20) -> None: pass class Bar(Foo): def f(self, x: Optional[int]=None) -> None: print(x) def test_override() -> None: z: Foo = Bar() z.f(1) z.f() [out] 1 None [case testMethodOverrideDefault7] from typing import TypeVar, Any class Foo: def f(self, x: int, *args: int, **kwargs: int) -> None: print("Foo", x, args, kwargs) class Bar(Foo): def f(self, *args: int, **kwargs: int) -> None: print("Bar", args, kwargs) def test_override() -> None: z: Foo = Bar() z.f(1, z=2) z.f(1, 2, 3) # z.f(x=5) # Not tested because we (knowingly) do the wrong thing and pass it as positional [out] Bar (1,) {'z': 2} Bar (1, 2, 3) {} --Bar () {'x': 5} [case testMethodOverrideDefault8] from typing import TypeVar, Any class Foo: def f(self, *args: int, **kwargs: int) -> None: print("Foo", args, kwargs) class Bar(Foo): def f(self, x: int = 10, *args: int, **kwargs: int) -> None: print("Bar", x, args, kwargs) def test_override() -> None: z: Foo = Bar() z.f(1, z=2) z.f(1, 2, 3) z.f() [out] Bar 1 () {'z': 2} Bar 1 (2, 3) {} Bar 10 () {} [case testMethodOverrideDefault9] from testutil import make_python_function from mypy_extensions import mypyc_attr from typing import TypeVar, Any @mypyc_attr(allow_interpreted_subclasses=True) class Foo: def f(self, x: int=20, y: int=40) -> None: print("Foo", x, y) # This sort of argument renaming is dodgy and not really sound but we # shouldn't break it when they aren't actually used by name... # (They *ought* to be positional only!) @make_python_function def baz_f(self, a: int=30, y: int=50) -> None: print("Baz", a, y) def test_override() -> None: # Make an "interpreted" subtype of Foo type2: Any = type Baz = type2('Baz', (Foo,), {'f': baz_f}) z: Foo = Baz() z.f() z.f(y=1) z.f(1, 2) # Not tested because we don't (and probably won't) match cpython here # from testutil import assertRaises # with assertRaises(TypeError): # z.f(x=7) [out] Baz 30 50 Baz 30 1 Baz 1 2 [case testOverride] class A: def f(self) -> int: return 0 def g(self) -> int: return 1 class B(A): def g(self) -> int: return 2 class C(B): def f(self) -> int: return 3 def test() -> None: ba: A = B() ca: A = C() assert ba.f() == 0 assert ba.g() == 2 assert ca.f() == 3 assert ca.g() == 2 cc = C() assert cc.f() == 3 assert cc.g() == 2 print('ok') [file driver.py] import native native.test() [out] ok [case testNoMetaclass] from foo import Base class Nothing(Base): # type: ignore pass [file foo.py] from typing import Any class Meta(type): pass class _Base(metaclass=Meta): pass Base = _Base # type: Any [file driver.py] try: import native except TypeError as e: assert(str(e) == "mypyc classes can't have a metaclass") [case testMetaclass] from meta import Meta class Nothing(metaclass=Meta): pass def ident(x): return x @ident class Test: pass [file meta.py] class Meta(type): def __new__(mcs, name, bases, dct): dct['X'] = 10 return super().__new__(mcs, name, bases, dct) [file driver.py] from native import Nothing assert Nothing.X == 10 [case testPickling] from mypy_extensions import trait, mypyc_attr from typing import Any, TypeVar, Generic def dec(x: Any) -> Any: return x @mypyc_attr(allow_interpreted_subclasses=True) class A: x: int y: str @mypyc_attr(allow_interpreted_subclasses=True) class B(A): z: bool def __init__(self, x: int, y: str, z: bool) -> None: self.x = x self.y = y self.z = z @trait class T: a: str class C(B, T): w: object # property shouldn't go in @property def foo(self) -> int: return 0 @dec class D: x: int class E(D): y: int U = TypeVar('U') class F(Generic[U]): y: int class G(F[int]): pass [file driver.py] from native import A, B, T, C, D, E, F, G import copy import pickle assert A.__mypyc_attrs__ == ('x', 'y') assert B.__mypyc_attrs__ == ('z', 'x', 'y') assert T.__mypyc_attrs__ == ('a',) assert C.__mypyc_attrs__ == ('w', 'z', 'x', 'y', 'a') assert not hasattr(D, '__mypyc_attrs__') assert E.__mypyc_attrs__ == ('y', '__dict__') assert F.__mypyc_attrs__ == ('y', '__dict__') assert G.__mypyc_attrs__ == ('y', '__dict__') b = B(10, '20', False) assert b.__getstate__() == {'z': False, 'x': 10, 'y': '20'} b2 = copy.copy(b) assert b is not b2 and b.y == b2.y b3 = pickle.loads(pickle.dumps(b)) assert b is not b3 and b.y == b3.y e = E() e.x = 10 e.y = 20 assert e.__getstate__() == {'y': 20, '__dict__': {'x': 10}} e2 = pickle.loads(pickle.dumps(e)) assert e is not e2 and e.x == e2.x and e.y == e2.y [case testInterpretedParentInit] from interp import C from typing import TypeVar T = TypeVar('T') def dec(x: T) -> T: return x @dec class A: def __init__(self, x: int) -> None: self.x = x class B(A): s = 'test' def b(x: int) -> B: return B(x) class D(C): s = 'test' def d(x: int) -> D: return D(x) [file interp.py] class C: def __init__(self, x: int) -> None: self.x = x [file driver.py] from native import b, d, B, D def test(f, v): x = f(v) assert x.x == v assert x.s == 'test' test(b, 20) test(d, 30) test(B, -1) test(D, -2) [case testInterpretedInherit] from typing import TypeVar, Any, overload from mypy_extensions import mypyc_attr, trait T = TypeVar('T') def dec(x: T) -> T: return x @mypyc_attr(allow_interpreted_subclasses=True) class Top: def spam(self) -> str: return "grandparent" @mypyc_attr(allow_interpreted_subclasses=True) @trait class Trait: def trait_method(self) -> str: return "trait" @mypyc_attr(allow_interpreted_subclasses=True) class Foo(Top, Trait): def __init__(self, x: int) -> None: self.x = x def foo(self) -> str: return "parent foo: " + self.bar(self.x) def bar(self, x: int) -> str: return "parent bar: {}".format(x + self.x) @dec def decorated(self) -> str: return "decorated parent" @property def read_property(self) -> str: return "parent prop" @overload def overloaded(self, index: int) -> int: ... @overload def overloaded(self, index: str) -> str: ... def overloaded(self, index: Any) -> Any: return index def foo(x: Foo) -> str: return x.foo() def bar(x: Foo, y: int) -> str: return x.bar(y) def spam(x: Top) -> str: return x.spam() def decorated(x: Foo) -> str: return x.decorated() def prop(x: Foo) -> str: return x.read_property def trait_method(x: Trait) -> str: return x.trait_method() def overloaded(x: Foo, s: str) -> str: return x.overloaded(s) [file interp.py] from typing import Any from native import Foo class Bar(Foo): def bar(self, x: int) -> str: return "child bar: {}".format(x + self.x) def spam(self) -> str: assert super().spam() == "grandparent" return "child" @property def read_property(self) -> str: return "child prop" def decorated(self) -> str: return "decorated child" def trait_method(self) -> str: return "child" def overloaded(self, index: Any) -> Any: return index + index class InterpBase: def eggs(self) -> str: return "eggs" class Baz(InterpBase, Bar): def __init__(self) -> None: super().__init__(1000) self.z = self.read_property [file driver.py] from native import Foo, foo, bar, spam, decorated, overloaded, prop, trait_method from interp import Bar, Baz from unittest.mock import patch from testutil import assertRaises x = Foo(10) y = Bar(20) z = Baz() assert isinstance(y, Bar) assert y.x == 20 assert y.bar(10) == "child bar: 30" assert y.foo() == "parent foo: child bar: 40" assert foo(y) == "parent foo: child bar: 40" assert bar(y, 30) == "child bar: 50" y.x = 30 assert bar(y, 30) == "child bar: 60" assert spam(y) == "child" assert y.read_property == "child prop" assert prop(x) == "parent prop" assert prop(y) == "child prop" assert y.decorated() == "decorated child" assert decorated(y) == "decorated child" assert y.overloaded("test") == "testtest" assert overloaded(y, "test") == "testtest" assert y.trait_method() == "child" assert trait_method(y) == "child" assert z.bar(10) == "child bar: 1010" assert bar(z, 10) == "child bar: 1010" assert z.z == "child prop" assert z.eggs() == "eggs" with patch("interp.Bar.spam", lambda self: "monkey patched"): assert y.spam() == "monkey patched" spam(y) == "monkey patched" with patch("interp.Bar.spam", lambda self: 20): assert y.spam() == 20 with assertRaises(TypeError, "str object expected; got int"): spam(y) with assertRaises(TypeError, "int object expected; got str"): y.x = "test" [case testProperty] from typing import Callable from mypy_extensions import trait class Temperature: @property def celsius(self) -> float: return 5.0 * (self.fahrenheit - 32.0) / 9.0 def __init__(self, fahrenheit: float) -> None: self.fahrenheit = fahrenheit def print_temp(self) -> None: print("F:", self.fahrenheit, "C:", self.celsius) @property def rankine(self) -> float: raise NotImplementedError class Access: @property def number_of_accesses(self) -> int: self._count += 1 return self._count def __init__(self) -> None: self._count = 0 from typing import Callable class BaseProperty: @property def doc(self) -> str: return "Represents a sequence of values. Updates itself by next, which is a new value." @property def value(self) -> object: return self._incrementer @property def bad_value(self) -> object: return self._incrementer @property def next(self) -> BaseProperty: return BaseProperty(self._incrementer + 1) def __init__(self, value: int) -> None: self._incrementer = value class DerivedProperty(BaseProperty): @property def value(self) -> int: return self._incrementer @property def bad_value(self) -> object: return self._incrementer def __init__(self, incr_func: Callable[[int], int], value: int) -> None: BaseProperty.__init__(self, value) self._incr_func = incr_func @property def next(self) -> DerivedProperty: return DerivedProperty(self._incr_func, self._incr_func(self.value)) class AgainProperty(DerivedProperty): @property def next(self) -> AgainProperty: return AgainProperty(self._incr_func, self._incr_func(self._incr_func(self.value))) @property def bad_value(self) -> int: return self._incrementer def print_first_n(n: int, thing: BaseProperty) -> None: vals = [] cur_thing = thing for _ in range(n): vals.append(cur_thing.value) cur_thing = cur_thing.next print ('', vals) @trait class Trait: @property def value(self) -> int: return 3 class Printer(Trait): def print_value(self) -> None: print(self.value) [file driver.py] from native import Temperature, Access import traceback x = Temperature(32.0) try: print (x.rankine) except NotImplementedError as e: traceback.print_exc() print (x.celsius) x.print_temp() y = Temperature(212.0) print (y.celsius) y.print_temp() z = Access() print (z.number_of_accesses) print (z.number_of_accesses) print (z.number_of_accesses) print (z.number_of_accesses) from native import BaseProperty, DerivedProperty, AgainProperty, print_first_n a = BaseProperty(7) b = DerivedProperty((lambda x: x // 2 if (x % 2 == 0) else 3 * x + 1), 7) c = AgainProperty((lambda x: x // 2 if (x % 2 == 0) else 3 * x + 1), 7) def py_print_first_n(n: int, thing: BaseProperty) -> None: vals = [] cur_thing = thing for _ in range(n): vals.append(cur_thing.value) cur_thing = cur_thing.next print ('', vals) py_print_first_n(20, a) py_print_first_n(20, b) py_print_first_n(20, c) print(a.next.next.next.bad_value) print(b.next.next.next.bad_value) print(c.next.next.next.bad_value) print_first_n(20, a) print_first_n(20, b) print_first_n(20, c) print (a.doc) print (b.doc) print (c.doc) from native import Printer Printer().print_value() print (Printer().value) [out] Traceback (most recent call last): File "driver.py", line 5, in print (x.rankine) File "native.py", line 16, in rankine raise NotImplementedError NotImplementedError 0.0 F: 32.0 C: 0.0 100.0 F: 212.0 C: 100.0 1 2 3 4 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] [7, 22, 11, 34, 17, 52, 26, 13, 40, 20, 10, 5, 16, 8, 4, 2, 1, 4, 2, 1] [7, 11, 17, 26, 40, 10, 16, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4] 10 34 26 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] [7, 22, 11, 34, 17, 52, 26, 13, 40, 20, 10, 5, 16, 8, 4, 2, 1, 4, 2, 1] [7, 11, 17, 26, 40, 10, 16, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4] Represents a sequence of values. Updates itself by next, which is a new value. Represents a sequence of values. Updates itself by next, which is a new value. Represents a sequence of values. Updates itself by next, which is a new value. 3 3 [out version>=3.11] Traceback (most recent call last): File "driver.py", line 5, in print (x.rankine) ^^^^^^^^^ File "native.py", line 16, in rankine raise NotImplementedError NotImplementedError 0.0 F: 32.0 C: 0.0 100.0 F: 212.0 C: 100.0 1 2 3 4 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] [7, 22, 11, 34, 17, 52, 26, 13, 40, 20, 10, 5, 16, 8, 4, 2, 1, 4, 2, 1] [7, 11, 17, 26, 40, 10, 16, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4] 10 34 26 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] [7, 22, 11, 34, 17, 52, 26, 13, 40, 20, 10, 5, 16, 8, 4, 2, 1, 4, 2, 1] [7, 11, 17, 26, 40, 10, 16, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4] Represents a sequence of values. Updates itself by next, which is a new value. Represents a sequence of values. Updates itself by next, which is a new value. Represents a sequence of values. Updates itself by next, which is a new value. 3 3 [case testPropertySetters] from mypy_extensions import trait class Foo(): def __init__(self) -> None: self.attr = "unmodified" class A: def __init__(self) -> None: self._x = 0 self._foo = Foo() @property def x(self) -> int: return self._x @x.setter def x(self, val : int) -> None: self._x = val @property def foo(self) -> Foo: return self._foo @foo.setter def foo(self, val : Foo) -> None: self._foo = val # Overrides base property setters and getters class B(A): def __init__(self) -> None: self._x = 10 @property def x(self) -> int: return self._x + 1 @x.setter def x(self, val : int) -> None: self._x = val + 1 # Inherits base property setters and getters class C(A): def __init__(self) -> None: A.__init__(self) @trait class D(): def __init__(self) -> None: self._x = 0 @property def x(self) -> int: return self._x @x.setter def x(self, val : int) -> None: self._x = val #Inherits trait property setters and getters class E(D): def __init__(self) -> None: D.__init__(self) #Overrides trait property setters and getters class F(D): def __init__(self) -> None: self._x = 10 @property def x(self) -> int: return self._x + 10 @x.setter def x(self, val : int) -> None: self._x = val + 10 # # Property setter and getter are subtypes of base property setters and getters # # class G(A): # # def __init__(self) -> None: # # A.__init__(self) # # @property # # def y(self) -> int: # # return self._y # # @y.setter # # def y(self, val : object) -> None: # # self._y = val # No inheritance, just plain setter/getter class G: def __init__(self, x: int) -> None: self._x = x @property def x(self) -> int: return self._x @x.setter def x(self, x: int) -> None: self._x = x class H: def __init__(self, g: G) -> None: self.g = g self.g.x = 5 # Should not be treated as initialization [file other.py] # Run in both interpreted and compiled mode from native import A, B, C, D, E, F, G a = A() assert a.x == 0 assert a._x == 0 a.x = 1 assert a.x == 1 assert a._x == 1 a._x = 0 assert a.x == 0 assert a._x == 0 b = B() assert b.x == 11 assert b._x == 10 b.x = 11 assert b.x == 13 b._x = 11 assert b.x == 12 c = C() assert c.x == 0 c.x = 1000 assert c.x == 1000 e = E() assert e.x == 0 e.x = 1000 assert e.x == 1000 f = F() assert f.x == 20 f.x = 30 assert f.x == 50 g = G(4) g.x = 20 assert g.x == 20 [file driver.py] # Run the tests in both interpreted and compiled mode import other import other_interpreted [out] [case testAttributeOverridesProperty] from typing import Any from mypy_extensions import trait @trait class T1: @property def x(self) -> int: ... @property def y(self) -> int: ... class C1(T1): x: int = 1 y: int = 4 def test_read_only_property_in_trait_implemented_as_attribute() -> None: c = C1() c.x = 5 assert c.x == 5 assert c.y == 4 c.y = 6 assert c.y == 6 t: T1 = C1() assert t.y == 4 t = c assert t.x == 5 assert t.y == 6 a: Any = c assert a.x == 5 assert a.y == 6 a.x = 7 a.y = 8 assert a.x == 7 assert a.y == 8 class B2: @property def x(self) -> int: return 11 @property def y(self) -> int: return 25 class C2(B2): x: int = 1 y: int = 4 def test_read_only_property_in_class_implemented_as_attribute() -> None: c = C2() c.x = 5 assert c.x == 5 assert c.y == 4 c.y = 6 assert c.y == 6 b: B2 = C2() assert b.y == 4 b = c assert b.x == 5 assert b.y == 6 a: Any = c assert a.x == 5 assert a.y == 6 a.x = 7 a.y = 8 assert a.x == 7 assert a.y == 8 @trait class T3: @property def x(self) -> int: ... @property def y(self) -> int: ... class B3: x: int = 1 y: int = 4 class C3(B3, T3): pass def test_read_only_property_implemented_as_attribute_indirectly() -> None: c = C3() c.x = 5 assert c.x == 5 assert c.y == 4 c.y = 6 assert c.y == 6 t: T3 = C3() assert t.y == 4 t = c assert t.x == 5 assert t.y == 6 a: Any = c assert a.x == 5 assert a.y == 6 a.x = 7 a.y = 8 assert a.x == 7 assert a.y == 8 @trait class T4: @property def x(self) -> int: ... @x.setter def x(self, v1: int) -> None: ... @property def y(self) -> int: ... @y.setter def y(self, v2: int) -> None: ... class C4(T4): x: int = 1 y: int = 4 def test_read_write_property_implemented_as_attribute() -> None: c = C4() c.x = 5 assert c.x == 5 assert c.y == 4 c.y = 6 assert c.y == 6 t: T4 = C4() assert t.y == 4 t.x = 5 assert t.x == 5 t.y = 6 assert t.y == 6 a: Any = c assert a.x == 5 assert a.y == 6 a.x = 7 a.y = 8 assert a.x == 7 assert a.y == 8 @trait class T5: @property def x(self) -> int: ... @x.setter def x(self, v1: int) -> None: ... @property def y(self) -> int: ... @y.setter def y(self, v2: int) -> None: ... class B5: x: int = 1 y: int = 4 class BB5(B5): pass class C5(BB5, T5): pass def test_read_write_property_indirectly_implemented_as_attribute() -> None: c = C5() c.x = 5 assert c.x == 5 assert c.y == 4 c.y = 6 assert c.y == 6 t: T5 = C5() assert t.y == 4 t.x = 5 assert t.x == 5 t.y = 6 assert t.y == 6 a: Any = c assert a.x == 5 assert a.y == 6 a.x = 7 a.y = 8 assert a.x == 7 assert a.y == 8 [case testSubclassAttributeAccess] from mypy_extensions import trait class A: v = 0 class B(A): v = 1 class C(B): v = 2 [file driver.py] from native import A, B, C a = A() b = B() c = C() [case testCopyAlwaysDefinedAttributes] import copy from typing import Union class A: pass class C: def __init__(self, n: int = 0) -> None: self.n = n self.s = "" self.t = ("", 0) self.u: Union[str, bytes] = '' self.a = A() def test_copy() -> None: c1 = C() c1.n = 1 c1.s = "x" c2 = copy.copy(c1) assert c2.n == 1 assert c2.s == "x" assert c2.t == ("", 0) assert c2.u == '' assert c2.a is c1.a [case testNonNativeCallsToDunderNewAndInit] from typing import Any from testutil import assertRaises count_c = 0 class C: def __init__(self) -> None: self.x = 'a' # Always defined attribute global count_c count_c += 1 def get(self) -> str: return self.x def test_no_init_args() -> None: global count_c count_c = 0 # Use Any to get non-native semantics cls: Any = C # __new__ implicitly calls __init__ for native classes obj = cls.__new__(cls) assert obj.get() == 'a' assert count_c == 1 # Make sure we don't call __init__ twice obj2 = cls() assert obj2.get() == 'a' assert count_c == 2 count_d = 0 class D: def __init__(self, x: str) -> None: self.x = x # Always defined attribute global count_d count_d += 1 def get(self) -> str: return self.x def test_init_arg() -> None: global count_d count_d = 0 # Use Any to get non-native semantics cls: Any = D # __new__ implicitly calls __init__ for native classes obj = cls.__new__(cls, 'abc') assert obj.get() == 'abc' assert count_d == 1 # Make sure we don't call __init__ twice obj2 = cls('x') assert obj2.get() == 'x' assert count_d == 2 # Keyword args should work obj = cls.__new__(cls, x='abc') assert obj.get() == 'abc' assert count_d == 3 def test_invalid_init_args() -> None: # Use Any to get non-native semantics cls: Any = D with assertRaises(TypeError): cls() with assertRaises(TypeError): cls(y='x') with assertRaises(TypeError): cls(1) [case testTryDeletingAlwaysDefinedAttribute] from typing import Any from testutil import assertRaises class C: def __init__(self) -> None: self.x = 0 class D(C): pass def test_try_deleting_always_defined_attr() -> None: c: Any = C() with assertRaises(AttributeError): del c.x d: Any = D() with assertRaises(AttributeError): del d.x [case testAlwaysDefinedAttributeAndAllowInterpretedSubclasses] from mypy_extensions import mypyc_attr from m import define_interpreted_subclass @mypyc_attr(allow_interpreted_subclasses=True) class Base: x = 5 y: int def __init__(self, s: str) -> None: self.s = s class DerivedNative(Base): def __init__(self) -> None: super().__init__('x') self.z = 3 def test_native_subclass() -> None: o = DerivedNative() assert o.x == 5 assert o.s == 'x' assert o.z == 3 def test_interpreted_subclass() -> None: define_interpreted_subclass(Base) [file m.py] from testutil import assertRaises def define_interpreted_subclass(b): class DerivedInterpreted1(b): def __init__(self): # Don't call base class __init__ pass d1 = DerivedInterpreted1() assert d1.x == 5 with assertRaises(AttributeError): d1.y with assertRaises(AttributeError): d1.s with assertRaises(AttributeError): del d1.x class DerivedInterpreted1(b): def __init__(self): super().__init__('y') d2 = DerivedInterpreted1() assert d2.x == 5 assert d2.s == 'y' with assertRaises(AttributeError): d2.y with assertRaises(AttributeError): del d2.x [case testBaseClassSometimesDefinesAttribute] class C: def __init__(self, b: bool) -> None: if b: self.x = [1] class D(C): def __init__(self, b: bool) -> None: super().__init__(b) self.x = [2] def test_base_class() -> None: c = C(True) assert c.x == [1] c = C(False) try: c.x except AttributeError: return assert False def test_subclass() -> None: d = D(True) assert d.x == [2] d = D(False) assert d.x == [2] [case testSerializableClass] from mypy_extensions import mypyc_attr from typing import Any import copy from testutil import assertRaises @mypyc_attr(serializable=True) class Base: def __init__(self, s: str) -> None: self.s = s class Derived(Base): def __init__(self, s: str, n: int) -> None: super().__init__(s) self.n = n def test_copy_base() -> None: o = Base('xyz') o2 = copy.copy(o) assert isinstance(o2, Base) assert o2 is not o assert o2.s == 'xyz' def test_copy_derived() -> None: d = Derived('xyz', 5) d2 = copy.copy(d) assert isinstance(d2, Derived) assert d2 is not d assert d2.s == 'xyz' assert d2.n == 5 class NonSerializable: def __init__(self, s: str) -> None: self.s = s @mypyc_attr(serializable=True) class SerializableSub(NonSerializable): def __init__(self, s: str, n: int) -> None: super().__init__(s) self.n = n def test_serializable_sub_class() -> None: n = NonSerializable('xyz') assert n.s == 'xyz' with assertRaises(TypeError): copy.copy(n) s = SerializableSub('foo', 6) s2 = copy.copy(s) assert s2 is not s assert s2.s == 'foo' assert s2.n == 6 def test_serializable_sub_class_call_new() -> None: t: Any = SerializableSub sub: SerializableSub = t.__new__(t) with assertRaises(AttributeError): sub.s with assertRaises(AttributeError): sub.n base: NonSerializable = sub with assertRaises(AttributeError): base.s [case testClassWithInherited__call__] class Base: def __call__(self) -> int: return 1 class Derived(Base): pass def test_inherited() -> None: assert Derived()() == 1 [case testClassWithFinalAttribute] from typing import Final class C: A: Final = -1 a: Final = [A] def test_final_attribute() -> None: assert C.A == -1 assert C.a == [-1] [case testClassWithFinalDecorator] from typing import final @final class C: def a(self) -> int: return 1 def test_class_final_attribute() -> None: assert C().a() == 1 [case testClassWithFinalDecoratorCtor] from typing import final @final class C: def __init__(self) -> None: self.a = 1 def b(self) -> int: return 2 @property def c(self) -> int: return 3 def test_class_final_attribute() -> None: assert C().a == 1 assert C().b() == 2 assert C().c == 3 [case testClassWithFinalDecoratorInheritedWithProperties] from typing import final class B: def a(self) -> int: return 2 @property def b(self) -> int: return self.a() + 2 @property def c(self) -> int: return 3 def test_class_final_attribute_basic() -> None: assert B().a() == 2 assert B().b == 4 assert B().c == 3 @final class C(B): def a(self) -> int: return 1 @property def b(self) -> int: return self.a() + 1 def fn(cl: B) -> int: return cl.a() def test_class_final_attribute_inherited() -> None: assert C().a() == 1 assert fn(C()) == 1 assert B().a() == 2 assert fn(B()) == 2 assert B().b == 4 assert C().b == 2 assert B().c == 3 assert C().c == 3 [case testClassWithFinalAttributeAccess] from typing import Final class C: a: Final = {'x': 'y'} b: Final = C.a def test_final_attribute() -> None: assert C.a['x'] == 'y' assert C.b['x'] == 'y' assert C.a is C.b [case testClassDerivedFromIntEnum] from enum import IntEnum, auto class Player(IntEnum): MIN = auto() print(f'{Player.MIN = }') [file driver.py] from native import Player [out] Player.MIN = [case testBufferRoundTrip_librt_internal] from __future__ import annotations from typing import Final, Any from mypy_extensions import u8 from librt.internal import ( ReadBuffer, WriteBuffer, write_bool, read_bool, write_str, read_str, write_float, read_float, write_int, read_int, write_tag, read_tag, write_bytes, read_bytes, cache_version, ) from testutil import assertRaises Tag = u8 TAG_A: Final[Tag] = 33 TAG_B: Final[Tag] = 255 TAG_SPECIAL: Final[Tag] = 239 def test_buffer_basic() -> None: assert cache_version() == 0 w = WriteBuffer() write_str(w, "foo") r = ReadBuffer(w.getvalue()) assert read_str(r) == "foo" def test_buffer_grow() -> None: w = WriteBuffer() n = 100 * 1000 for i in range(n): write_int(w, i & 63) r = ReadBuffer(w.getvalue()) for i in range(n): assert read_int(r) == (i & 63) with assertRaises(ValueError): read_int(r) def test_buffer_primitive_types() -> None: a1: Any = WriteBuffer() w: WriteBuffer = a1 write_str(w, "foo") data = w.getvalue() assert read_str(ReadBuffer(data)) == "foo" a2: Any = ReadBuffer(b"foo") with assertRaises(TypeError): w2: WriteBuffer = a2 a3: Any = ReadBuffer(data) r: ReadBuffer = a3 assert read_str(r) == "foo" a4: Any = WriteBuffer() with assertRaises(TypeError): r2: ReadBuffer = a4 def test_type_check_args_in_write_functions() -> None: # Test calling wrapper functions with invalid arg types from librt import internal alias: Any = internal w = WriteBuffer() with assertRaises(TypeError): alias.write_str(None, "foo") with assertRaises(TypeError): alias.write_str(w, None) with assertRaises(TypeError): alias.write_bool(None, True) with assertRaises(TypeError): alias.write_bool(w, None) with assertRaises(TypeError): alias.write_bytes(None, b"foo") with assertRaises(TypeError): alias.write_bytes(w, None) with assertRaises(TypeError): alias.write_float(None, 1.5) with assertRaises(TypeError): alias.write_float(w, None) with assertRaises(TypeError): alias.write_int(None, 15) with assertRaises(TypeError): alias.write_int(w, None) with assertRaises(TypeError): alias.write_tag(None, 15) with assertRaises(TypeError): alias.write_tag(w, None) def test_type_check_buffer_in_read_functions() -> None: # Test calling wrapper functions with invalid arg types from librt import internal alias: Any = internal with assertRaises(TypeError): alias.read_str(None) with assertRaises(TypeError): alias.read_bool(None) with assertRaises(TypeError): alias.read_bytes(None) with assertRaises(TypeError): alias.read_float(None) with assertRaises(TypeError): alias.read_int(None) with assertRaises(TypeError): alias.read_tag(None) def test_buffer_roundtrip() -> None: b: WriteBuffer | ReadBuffer b = WriteBuffer() write_str(b, "foo") write_bool(b, True) write_str(b, "bar" * 1000) write_bool(b, False) write_bytes(b, b"bar") write_bytes(b, b"bar" * 100) write_bytes(b, b"") write_bytes(b, b"a" * 117) write_bytes(b, b"a" * 118) write_float(b, 0.1) write_float(b, -1.0) write_float(b, -113.0) write_int(b, 0) write_int(b, 1) write_tag(b, TAG_A) write_tag(b, TAG_SPECIAL) write_tag(b, TAG_B) write_int(b, 2) write_int(b, 2 ** 85) write_int(b, 255) write_int(b, -1) write_int(b, -255) write_int(b, 536860911) write_int(b, 536860912) write_int(b, 1234567891) b = ReadBuffer(b.getvalue()) assert read_str(b) == "foo" assert read_bool(b) is True assert read_str(b) == "bar" * 1000 assert read_bool(b) is False assert read_bytes(b) == b"bar" assert read_bytes(b) == b"bar" * 100 assert read_bytes(b) == b"" assert read_bytes(b) == b"a" * 117 assert read_bytes(b) == b"a" * 118 assert read_float(b) == 0.1 assert read_float(b) == -1.0 assert read_float(b) == -113.0 assert read_int(b) == 0 assert read_int(b) == 1 assert read_tag(b) == TAG_A assert read_tag(b) == TAG_SPECIAL assert read_tag(b) == TAG_B assert read_int(b) == 2 assert read_int(b) == 2 ** 85 assert read_int(b) == 255 assert read_int(b) == -1 assert read_int(b) == -255 assert read_int(b) == 536860911 assert read_int(b) == 536860912 assert read_int(b) == 1234567891 def test_buffer_int_size() -> None: b: WriteBuffer | ReadBuffer for i in (-10, -9, 0, 116, 117): b = WriteBuffer() write_int(b, i) assert len(b.getvalue()) == 1 b = ReadBuffer(b.getvalue()) assert read_int(b) == i for i in (-100, -11, 118, 12344, 16283): b = WriteBuffer() write_int(b, i) assert len(b.getvalue()) == 2 b = ReadBuffer(b.getvalue()) assert read_int(b) == i for i in (-10000, 16284, 123456789): b = WriteBuffer() write_int(b, i) assert len(b.getvalue()) == 4 b = ReadBuffer(b.getvalue()) assert read_int(b) == i def test_buffer_int_powers() -> None: # 0, 1, 2 are tested above for p in range(2, 200): b = WriteBuffer() write_int(b, 1 << p) write_int(b, (1 << p) - 1) write_int(b, -1 << p) write_int(b, (-1 << p) + 1) rb = ReadBuffer(b.getvalue()) assert read_int(rb) == 1 << p assert read_int(rb) == (1 << p) - 1 assert read_int(rb) == -1 << p assert read_int(rb) == (-1 << p) + 1 def test_positive_long_int_serialized_bytes() -> None: b = WriteBuffer() n = 0x123456789ab write_int(b, n) x = b.getvalue() # Two prefix bytes, followed by little endian encoded integer in variable-length format assert x == b"\x0f\x2c\xab\x89\x67\x45\x23\x01" rb = ReadBuffer(x) assert read_int(rb) == n def test_negative_long_int_serialized_bytes() -> None: b = WriteBuffer() n = -0x123456789abcde write_int(b, n) x = b.getvalue() assert x == b"\x0f\x32\xde\xbc\x9a\x78\x56\x34\x12" rb = ReadBuffer(x) assert read_int(rb) == n def test_buffer_str_size() -> None: b: WriteBuffer | ReadBuffer for s in ("", "a", "a" * 117): b = WriteBuffer() write_str(b, s) assert len(b.getvalue()) == len(s) + 1 b = ReadBuffer(b.getvalue()) assert read_str(b) == s for s in ("a" * 118, "a" * 16283): b = WriteBuffer() write_str(b, s) assert len(b.getvalue()) == len(s) + 2 b = ReadBuffer(b.getvalue()) assert read_str(b) == s [file driver.py] from native import * test_buffer_basic() test_buffer_grow() test_buffer_primitive_types() test_type_check_args_in_write_functions() test_type_check_buffer_in_read_functions() test_buffer_roundtrip() test_buffer_int_size() test_buffer_str_size() test_buffer_int_powers() test_positive_long_int_serialized_bytes() test_negative_long_int_serialized_bytes() def test_buffer_basic_interpreted() -> None: b = WriteBuffer() write_str(b, "foo") b = ReadBuffer(b.getvalue()) assert read_str(b) == "foo" def test_buffer_roundtrip_interpreted() -> None: b = WriteBuffer() write_str(b, "foo") write_bool(b, True) write_str(b, "bar" * 1000) write_bool(b, False) write_bytes(b, b"bar") write_bytes(b, b"bar" * 100) write_bytes(b, b"") write_bytes(b, b"a" * 117) write_bytes(b, b"a" * 118) write_float(b, 0.1) write_int(b, 0) write_int(b, 1) write_tag(b, 33) write_tag(b, 239) write_tag(b, 255) write_int(b, 2) write_int(b, 2 ** 85) write_int(b, 255) write_int(b, -1) write_int(b, -255) write_int(b, 536860911) write_int(b, 536860912) write_int(b, 1234567891) b = ReadBuffer(b.getvalue()) assert read_str(b) == "foo" assert read_bool(b) is True assert read_str(b) == "bar" * 1000 assert read_bool(b) is False assert read_bytes(b) == b"bar" assert read_bytes(b) == b"bar" * 100 assert read_bytes(b) == b"" assert read_bytes(b) == b"a" * 117 assert read_bytes(b) == b"a" * 118 assert read_float(b) == 0.1 assert read_int(b) == 0 assert read_int(b) == 1 assert read_tag(b) == 33 assert read_tag(b) == 239 assert read_tag(b) == 255 assert read_int(b) == 2 assert read_int(b) == 2 ** 85 assert read_int(b) == 255 assert read_int(b) == -1 assert read_int(b) == -255 assert read_int(b) == 536860911 assert read_int(b) == 536860912 assert read_int(b) == 1234567891 def test_buffer_int_size_interpreted() -> None: for i in (-10, -9, 0, 116, 117): b = WriteBuffer() write_int(b, i) assert len(b.getvalue()) == 1 b = ReadBuffer(b.getvalue()) assert read_int(b) == i for i in (-100, -11, 118, 12344, 16283): b = WriteBuffer() write_int(b, i) assert len(b.getvalue()) == 2 b = ReadBuffer(b.getvalue()) assert read_int(b) == i for i in (-10000, 16284, 123456789): b = WriteBuffer() write_int(b, i) assert len(b.getvalue()) == 4 b = ReadBuffer(b.getvalue()) assert read_int(b) == i def test_buffer_int_powers_interpreted() -> None: # 0, 1, 2 are tested above for p in range(2, 9): b = WriteBuffer() write_int(b, 1 << p) write_int(b, -1 << p) b = ReadBuffer(b.getvalue()) assert read_int(b) == 1 << p assert read_int(b) == -1 << p def test_buffer_str_size_interpreted() -> None: for s in ("", "a", "a" * 117): b = WriteBuffer() write_str(b, s) assert len(b.getvalue()) == len(s) + 1 b = ReadBuffer(b.getvalue()) assert read_str(b) == s for s in ("a" * 118, "a" * 16283): b = WriteBuffer() write_str(b, s) assert len(b.getvalue()) == len(s) + 2 b = ReadBuffer(b.getvalue()) assert read_str(b) == s test_buffer_basic_interpreted() test_buffer_roundtrip_interpreted() test_buffer_int_size_interpreted() test_buffer_str_size_interpreted() test_buffer_int_powers_interpreted() [case testBufferEmpty_librt_internal] from librt.internal import WriteBuffer, ReadBuffer, write_int, read_int def test_empty() -> None: b = WriteBuffer() write_int(b, 42) b1 = ReadBuffer(b.getvalue()) assert read_int(b1) == 42 [case testEnumMethodCalls] from enum import Enum from typing import overload, Optional, Union class C: def foo(self, x: Test) -> bool: assert Test.ONE.is_one() assert x.next(2) == Test.THREE assert x.prev(2) == Test.ONE assert x.enigma(22) assert x.enigma("22") == 22 return x.is_one(inverse=True) class Test(Enum): ONE = 1 TWO = 2 THREE = 3 def is_one(self, *, inverse: bool = False) -> bool: if inverse: return self != Test.ONE return self == Test.ONE @classmethod def next(cls, val: int) -> Test: return cls(val + 1) @staticmethod def prev(val: int) -> Test: return Test(val - 1) @overload def enigma(self, val: int) -> bool: ... @overload def enigma(self, val: Optional[str] = None) -> int: ... def enigma(self, val: Union[int, str, None] = None) -> Union[int, bool]: if isinstance(val, int): return self.is_one() return 22 [file driver.py] from native import Test, C assert Test.ONE.is_one() assert Test.TWO.is_one(inverse=True) assert not C().foo(Test.ONE) assert Test.next(2) == Test.THREE assert Test.prev(2) == Test.ONE assert Test.ONE.enigma(22) assert Test.ONE.enigma("22") == 22 [case testStaticCallsWithUnpackingArgs] from typing import Tuple class Foo: @staticmethod def static(a: int, b: int, c: int) -> Tuple[int, int, int]: return (c+1, a+2, b+3) @classmethod def clsmethod(cls, a: int, b: int, c: int) -> Tuple[int, int, int]: return (c+1, a+2, b+3) print(Foo.static(*[10, 20, 30])) print(Foo.static(*(40, 50), *[60])) assert Foo.static(70, 80, *[90]) == Foo.clsmethod(70, *(80, 90)) [file driver.py] import native [out] (31, 12, 23) (61, 42, 53) [case testDataclassInitVar] import dataclasses @dataclasses.dataclass class C: init_v: dataclasses.InitVar[int] v: float = dataclasses.field(init=False) def __post_init__(self, init_v): self.v = init_v + 0.1 [file driver.py] import native print(native.C(22).v) [out] 22.1 [case testLastParentEnum] from enum import Enum class ColorCode(str, Enum): OKGREEN = "okgreen" [file driver.py] import native print(native.ColorCode.OKGREEN.value) [out] okgreen [case testAttrWithSlots] import attr @attr.s(slots=True) class A: ints: list[int] = attr.ib() [file driver.py] import native print(native.A(ints=[1, -17]).ints) [out] \[1, -17] [case testDataclassClassReference] from __future__ import annotations from dataclasses import dataclass class BackwardDefinedClass: pass @dataclass class Data: bitem: BackwardDefinedClass bitems: 'BackwardDefinedClass' fitem: ForwardDefinedClass fitems: 'ForwardDefinedClass' class ForwardDefinedClass: pass def test_function(): d = Data( bitem=BackwardDefinedClass(), bitems=BackwardDefinedClass(), fitem=ForwardDefinedClass(), fitems=ForwardDefinedClass(), ) assert(isinstance(d.bitem, BackwardDefinedClass)) assert(isinstance(d.bitems, BackwardDefinedClass)) assert(isinstance(d.fitem, ForwardDefinedClass)) assert(isinstance(d.fitems, ForwardDefinedClass)) [case testDelForDictSubclass-xfail] # The crash in issue mypy#19175 is fixed. # But, for classes that derive from built-in Python classes, user-defined __del__ method is not # being invoked. class DictSubclass(dict): def __del__(self): print("deleting DictSubclass...") [file driver.py] import native native.DictSubclass() [out] deleting DictSubclass... [case testDel] class A: def __del__(self): print("deleting A...") class B: def __del__(self): print("deleting B...") class C(B): def __init__(self): self.a = A() def __del__(self): print("deleting C...") super().__del__() class D(A): pass # Just make sure that this class compiles (see issue mypy#19175). testDelForDictSubclass tests for # correct output. class NormDict(dict): def __del__(self) -> None: pass [file driver.py] import native native.C() native.D() [out] deleting C... deleting B... deleting A... deleting A... [case testDelCircular] import dataclasses import typing i: int = 1 @dataclasses.dataclass class C: var: typing.Optional["C"] = dataclasses.field(default=None) def __del__(self): global i print(f"deleting C{i}...") i = i + 1 [file driver.py] import native import gc c1 = native.C() c2 = native.C() c1.var = c2 c2.var = c1 del c1 del c2 gc.collect() [out] deleting C1... deleting C2... [case testDelException] # The error message in the expected output of this test does not match CPython's error message due to the way mypyc compiles Python classes. If the error message is fixed, the expected output of this test will also change. class F: def __del__(self): if True: raise Exception("e2") [file driver.py] import native f = native.F() del f [out] Exception ignored in: Traceback (most recent call last): File "native.py", line 5, in __del__ raise Exception("e2") Exception: e2 [case testMypycAttrNativeClass] from mypy_extensions import mypyc_attr from testutil import assertRaises @mypyc_attr(native_class=False) class AnnontatedNonExtensionClass: pass class DerivedClass(AnnontatedNonExtensionClass): pass class ImplicitExtensionClass(): pass @mypyc_attr(native_class=True) class AnnotatedExtensionClass(): pass def test_function(): setattr(AnnontatedNonExtensionClass, 'attr_class', 5) assert(hasattr(AnnontatedNonExtensionClass, 'attr_class') == True) assert(getattr(AnnontatedNonExtensionClass, 'attr_class') == 5) delattr(AnnontatedNonExtensionClass, 'attr_class') assert(hasattr(AnnontatedNonExtensionClass, 'attr_class') == False) inst = AnnontatedNonExtensionClass() setattr(inst, 'attr_instance', 6) assert(hasattr(inst, 'attr_instance') == True) assert(getattr(inst, 'attr_instance') == 6) delattr(inst, 'attr_instance') assert(hasattr(inst, 'attr_instance') == False) setattr(DerivedClass, 'attr_class', 5) assert(hasattr(DerivedClass, 'attr_class') == True) assert(getattr(DerivedClass, 'attr_class') == 5) delattr(DerivedClass, 'attr_class') assert(hasattr(DerivedClass, 'attr_class') == False) derived_inst = DerivedClass() setattr(derived_inst, 'attr_instance', 6) assert(hasattr(derived_inst, 'attr_instance') == True) assert(getattr(derived_inst, 'attr_instance') == 6) delattr(derived_inst, 'attr_instance') assert(hasattr(derived_inst, 'attr_instance') == False) ext_inst = ImplicitExtensionClass() with assertRaises(AttributeError): setattr(ext_inst, 'attr_instance', 6) explicit_ext_inst = AnnotatedExtensionClass() with assertRaises(AttributeError): setattr(explicit_ext_inst, 'attr_instance', 6) [case testMypycAttrNativeClassDunder] from mypy_extensions import mypyc_attr from typing import Generic, Optional, TypeVar _T = TypeVar("_T") get_count = set_count = del_count = 0 @mypyc_attr(native_class=False) class Bar(Generic[_T]): # Note the lack of __deletable__ def __init__(self) -> None: self.value: str = 'start' def __get__(self, instance: _T, owner: Optional[type[_T]] = None) -> str: global get_count get_count += 1 return self.value def __set__(self, instance: _T, value: str) -> None: global set_count set_count += 1 self.value = value def __delete__(self, instance: _T) -> None: global del_count del_count += 1 del self.value @mypyc_attr(native_class=False) class Foo(object): bar: Bar = Bar() [file driver.py] import native f = native.Foo() assert(hasattr(f, 'bar')) assert(native.get_count == 1) assert(f.bar == 'start') assert(native.get_count == 2) f.bar = 'test' assert(f.bar == 'test') assert(native.set_count == 1) del f.bar assert(not hasattr(f, 'bar')) assert(native.del_count == 1) [case testMypycAttrNativeClassMeta] from mypy_extensions import mypyc_attr from typing import ClassVar, TypeVar _T = TypeVar("_T") @mypyc_attr(native_class=False) class M(type): count: ClassVar[int] = 0 def make(cls: type[_T]) -> _T: M.count += 1 return cls() # implicit native_class=False # see testMypycAttrNativeClassMetaError for when trying to set it True class A(metaclass=M): pass [file driver.py] import native a: native.A = native.A.make() assert(native.A.count == 1) class B(native.A): pass b: B = B.make() assert(B.count == 2) [case testTypeVarNarrowing] from typing import TypeVar class B: def __init__(self, x: int) -> None: self.x = x class C(B): def __init__(self, x: int, y: str) -> None: self.x = x self.y = y T = TypeVar("T", bound=B) def f(x: T) -> T: if isinstance(x, C): print("C", x.y) return x print("B", x.x) return x [file driver.py] from native import f, B, C f(B(1)) f(C(1, "yes")) [out] B 1 C yes [case testTypeObjectName] from typing import Any import re from dynamic import E, foo, Thing class C: pass class D(C): pass def type_name(t: type[object]) -> str: return t.__name__ def any_name(x: Any) -> str: return x.__name__ def assert_type_name(x: Any) -> None: assert type_name(x) == getattr(x, "__name__") assert any_name(x) == getattr(x, "__name__") def assert_any_name(x: Any) -> None: assert any_name(x) == getattr(x, "__name__") def test_type_name() -> None: assert_type_name(C) assert_type_name(D) assert_type_name(int) assert_type_name(E) assert_type_name(re.Pattern) def test_module_name() -> None: assert_any_name(re) def test_function_name() -> None: assert_any_name(any_name) assert_any_name(foo) def test_obj_name() -> None: assert_any_name(Thing()) [file dynamic.py] class E: pass def foo(): pass class Thing: def __init__(self): self.__name__ = "xyz" [case testTypeOfObject] from typing import Any from dynamic import Dyn class Foo: pass class Bar(Foo): pass def generic_type(x) -> type[object]: return x.__class__ def test_built_in_type() -> None: i: Any = int l: Any = list assert type(i()) is i().__class__ assert type(i()) is int assert type(l()) is list n = 5 assert n.__class__ is i def test_native_class() -> None: f_any: Any = Foo() b_any: Any = Bar() f: Foo = f_any b: Foo = b_any if int("1"): # use int("1") to avoid constant folding assert type(f) is Foo assert type(b) is Bar if int("2"): assert f.__class__ is Foo assert b.__class__ is Bar if int("3"): assert f_any.__class__ is Foo assert b_any.__class__ is Bar if int("4"): assert type(f_any) is Foo assert type(b_any) is Bar def test_python_class() -> None: d = Dyn() assert type(d) is Dyn assert d.__class__ is Dyn [file dynamic.py] class Dyn: pass [case testDunderNew] from __future__ import annotations from typing import Any, Union from testutil import assertRaises class Add: l: IntLike r: IntLike def __new__(cls, l: IntLike, r: IntLike) -> Any: return ( l if r == 0 else r if l == 0 else super().__new__(cls) ) def __init__(self, l: IntLike, r: IntLike): self.l = l self.r = r IntLike = Union[int, Add] class RaisesException: def __new__(cls, val: int) -> RaisesException: if val == 0: raise RuntimeError("Invalid value!") return super().__new__(cls) def __init__(self, val: int) -> None: self.val = val class ClsArgNotPassed: def __new__(cls) -> Any: return super().__new__(str) def test_dunder_new() -> None: add_instance: Any = Add(1, 5) assert type(add_instance) == Add assert add_instance.l == 1 assert add_instance.r == 5 # TODO: explicit types should not be needed but mypy does not use # the return type of __new__ which makes mypyc add casts to Add. right_int: Any = Add(0, 5) assert type(right_int) == int assert right_int == 5 left_int: Any = Add(1, 0) assert type(left_int) == int assert left_int == 1 with assertRaises(RuntimeError, "Invalid value!"): raised = RaisesException(0) not_raised = RaisesException(1) assert not_raised.val == 1 with assertRaises(TypeError, "object.__new__(str) is not safe, use str.__new__()"): str_as_cls = ClsArgNotPassed() [case testDunderNewInInterpreted] from __future__ import annotations from typing import Any, Union class Add: l: IntLike r: IntLike def __new__(cls, l: IntLike, r: IntLike) -> Any: print(f'running __new__ with {l} and {r}') return ( l if r == 0 else r if l == 0 else super().__new__(cls) ) def __init__(self, l: IntLike, r: IntLike): self.l = l self.r = r def __repr__(self) -> str: return f'({self.l} + {self.r})' IntLike = Union[int, Add] class RaisesException: def __new__(cls, val: int) -> RaisesException: if val == 0: raise RuntimeError("Invalid value!") return super().__new__(cls) def __init__(self, val: int) -> None: self.val = val class ClsArgNotPassed: def __new__(cls) -> Any: return super().__new__(str) [file driver.py] from native import Add, ClsArgNotPassed, RaisesException from testutil import assertRaises print(f'{Add(1, 5)=}') print(f'{Add(0, 5)=}') print(f'{Add(1, 0)=}') with assertRaises(RuntimeError, "Invalid value!"): raised = RaisesException(0) not_raised = RaisesException(1) assert not_raised.val == 1 with assertRaises(TypeError, "object.__new__(str) is not safe, use str.__new__()"): str_as_cls = ClsArgNotPassed() [out] running __new__ with 1 and 5 Add(1, 5)=(1 + 5) running __new__ with 0 and 5 Add(0, 5)=5 running __new__ with 1 and 0 Add(1, 0)=1 [case testObjectDunderNew] from __future__ import annotations from typing import Any, Union from testutil import assertRaises class Add: l: IntLike r: IntLike def __new__(cls, l: IntLike, r: IntLike) -> Any: return ( l if r == 0 else r if l == 0 else object.__new__(cls) ) def __init__(self, l: IntLike, r: IntLike): self.l = l self.r = r IntLike = Union[int, Add] class RaisesException: def __new__(cls, val: int) -> RaisesException: if val == 0: raise RuntimeError("Invalid value!") return object.__new__(cls) def __init__(self, val: int) -> None: self.val = val class ClsArgNotPassed: def __new__(cls) -> Any: return object.__new__(str) class SkipsBase(Add): def __new__(cls) -> Any: obj = object.__new__(cls) obj.l = 0 obj.r = 0 return obj def test_dunder_new() -> None: add_instance: Any = Add(1, 5) assert type(add_instance) == Add assert add_instance.l == 1 assert add_instance.r == 5 # TODO: explicit types should not be needed but mypy does not use # the return type of __new__ which makes mypyc add casts to Add. right_int: Any = Add(0, 5) assert type(right_int) == int assert right_int == 5 left_int: Any = Add(1, 0) assert type(left_int) == int assert left_int == 1 with assertRaises(RuntimeError, "Invalid value!"): _ = RaisesException(0) not_raised = RaisesException(1) assert not_raised.val == 1 with assertRaises(TypeError, "object.__new__(str) is not safe, use str.__new__()"): _ = ClsArgNotPassed() skip = SkipsBase.__new__(SkipsBase) assert type(skip) == SkipsBase assert skip.l == 0 assert skip.r == 0 [case testObjectDunderNewInInterpreted] from __future__ import annotations from typing import Any, Union class Add: l: IntLike r: IntLike def __new__(cls, l: IntLike, r: IntLike) -> Any: print(f'running __new__ with {l} and {r}') return ( l if r == 0 else r if l == 0 else object.__new__(cls) ) def __init__(self, l: IntLike, r: IntLike): self.l = l self.r = r def __repr__(self) -> str: return f'({self.l} + {self.r})' IntLike = Union[int, Add] class RaisesException: def __new__(cls, val: int) -> RaisesException: if val == 0: raise RuntimeError("Invalid value!") return object.__new__(cls) def __init__(self, val: int) -> None: self.val = val class ClsArgNotPassed: def __new__(cls) -> Any: return object.__new__(str) class SkipsBase(Add): def __new__(cls) -> Any: obj = object.__new__(cls) obj.l = 0 obj.r = 0 return obj [file driver.py] from native import Add, ClsArgNotPassed, RaisesException, SkipsBase from testutil import assertRaises print(f'{Add(1, 5)=}') print(f'{Add(0, 5)=}') print(f'{Add(1, 0)=}') with assertRaises(RuntimeError, "Invalid value!"): raised = RaisesException(0) not_raised = RaisesException(1) assert not_raised.val == 1 with assertRaises(TypeError, "object.__new__(str) is not safe, use str.__new__()"): str_as_cls = ClsArgNotPassed() skip = SkipsBase.__new__(SkipsBase) assert type(skip) == SkipsBase assert skip.l == 0 assert skip.r == 0 [out] running __new__ with 1 and 5 Add(1, 5)=(1 + 5) running __new__ with 0 and 5 Add(0, 5)=5 running __new__ with 1 and 0 Add(1, 0)=1 [case testInheritedDunderNew] from __future__ import annotations from mypy_extensions import mypyc_attr from testutil import assertRaises from typing_extensions import Self from m import interpreted_subclass @mypyc_attr(allow_interpreted_subclasses=True) class Base: val: int def __new__(cls, val: int) -> Self: obj = super().__new__(cls) obj.val = val + 1 return obj def __init__(self, val: int) -> None: self.init_val = val def method(self) -> int: raise NotImplementedError class Sub(Base): def __new__(cls, val: int) -> Self: return super().__new__(cls, val + 1) def __init__(self, val: int) -> None: super().__init__(val) self.init_val = self.init_val * 2 def method(self) -> int: return 0 class SubWithoutNew(Base): sub_only_str = "" sub_only_int: int def __init__(self, val: int) -> None: super().__init__(val) self.init_val = self.init_val * 2 def method(self) -> int: return 1 class BaseWithoutInterpretedSubclasses: val: int def __new__(cls, val: int) -> Self: obj = super().__new__(cls) obj.val = val + 1 return obj def __init__(self, val: int) -> None: self.init_val = val def method(self) -> int: raise NotImplementedError class SubNoInterpreted(BaseWithoutInterpretedSubclasses): def __new__(cls, val: int) -> Self: return super().__new__(cls, val + 1) def __init__(self, val: int) -> None: super().__init__(val) self.init_val = self.init_val * 2 def method(self) -> int: return 0 class SubNoInterpretedWithoutNew(BaseWithoutInterpretedSubclasses): def __init__(self, val: int) -> None: super().__init__(val) self.init_val = self.init_val * 2 def method(self) -> int: return 1 def test_inherited_dunder_new() -> None: b = Base(42) assert type(b) == Base assert b.val == 43 assert b.init_val == 42 with assertRaises(NotImplementedError): b.method() s = Sub(42) assert type(s) == Sub assert s.val == 44 assert s.init_val == 84 assert s.method() == 0 s2 = SubWithoutNew(42) assert type(s2) == SubWithoutNew assert s2.val == 43 assert s2.init_val == 84 assert s2.method() == 1 assert s2.sub_only_str == "" with assertRaises(AttributeError): s2.sub_only_int s2.sub_only_int = 11 assert s2.sub_only_int == 11 def test_inherited_dunder_new_without_interpreted_subclasses() -> None: b = BaseWithoutInterpretedSubclasses(42) assert type(b) == BaseWithoutInterpretedSubclasses assert b.val == 43 assert b.init_val == 42 with assertRaises(NotImplementedError): b.method() s = SubNoInterpreted(42) assert type(s) == SubNoInterpreted assert s.val == 44 assert s.init_val == 84 assert s.method() == 0 s2 = SubNoInterpretedWithoutNew(42) assert type(s2) == SubNoInterpretedWithoutNew assert s2.val == 43 assert s2.init_val == 84 assert s2.method() == 1 def test_interpreted_subclass() -> None: interpreted_subclass(Base) [file m.py] from __future__ import annotations from testutil import assertRaises from typing_extensions import Self def interpreted_subclass(base) -> None: b = base(42) assert type(b) == base assert b.val == 43 assert b.init_val == 42 with assertRaises(NotImplementedError): b.method() class InterpretedSub(base): def __new__(cls, val: int) -> Self: return super().__new__(cls, val + 1) def __init__(self, val: int) -> None: super().__init__(val) self.init_val : int = self.init_val * 2 def method(self) -> int: return 3 s = InterpretedSub(42) assert type(s) == InterpretedSub assert s.val == 44 assert s.init_val == 84 assert s.method() == 3 class InterpretedSubWithoutNew(base): sub_only_str = "" sub_only_int: int def __init__(self, val: int) -> None: super().__init__(val) self.init_val : int = self.init_val * 2 def method(self) -> int: return 4 s2 = InterpretedSubWithoutNew(42) assert type(s2) == InterpretedSubWithoutNew assert s2.val == 43 assert s2.init_val == 84 assert s2.method() == 4 assert s2.sub_only_str == "" with assertRaises(AttributeError): s2.sub_only_int s2.sub_only_int = 11 assert s2.sub_only_int == 11 [typing fixtures/typing-full.pyi] [case testDunderNewInitArgMismatch] from __future__ import annotations from testutil import assertRaises class Test0: @classmethod def __new__(cls, val: int = 42) -> Test0: obj = super().__new__(cls) obj.val = val return obj def __init__(self) -> None: self.val = 0 class Test1: def __new__(cls, val: int) -> Test1: obj = super().__new__(cls) obj.val = val return obj def __init__(self) -> None: self.val = 0 class Test2: def __new__(cls) -> Test2: obj = super().__new__(cls) return obj def __init__(self, val: int) -> None: self.val = val def test_arg_mismatch() -> None: t0 = Test0() assert t0.val == 0 t0 = Test0.__new__(1) assert t0.val == 1 with assertRaises(TypeError, "__new__() missing required argument 'val'"): t1 = Test1() t1 = Test1.__new__(Test1, 2) assert t1.val == 2 with assertRaises(TypeError, "__new__() takes at most 0 arguments"): t2 = Test2(42) t2 = Test2.__new__(Test2) with assertRaises(AttributeError, "attribute 'val' of 'Test2' undefined"): print(t2.val) [case testDunderNewInitArgMismatchInInterpreted] from __future__ import annotations class Test0: # TODO: It should be possible to annotate '@classmethod' here # but when it's added calling __new__ in interpreted code # without the explicit type param results in a TypeError. def __new__(cls, val: int = 42) -> Test0: obj = super().__new__(cls) obj.val = val return obj def __init__(self) -> None: self.val = 0 class Test1: def __new__(cls, val: int) -> Test1: obj = super().__new__(cls) obj.val = val return obj def __init__(self) -> None: self.val = 0 class Test2: def __new__(cls) -> Test2: obj = super().__new__(cls) return obj def __init__(self, val: int) -> None: self.val = val [file driver.py] from native import Test0, Test1, Test2 from testutil import assertRaises t0 = Test0() assert t0.val == 0 t0 = Test0.__new__(Test0, 1) assert t0.val == 1 with assertRaises(TypeError, "__new__() missing required argument 'val'"): t1 = Test1() t1 = Test1.__new__(Test1, 2) assert t1.val == 2 with assertRaises(TypeError, "__new__() takes at most 0 arguments"): t2 = Test2(42) t2 = Test2.__new__(Test2) with assertRaises(AttributeError, "attribute 'val' of 'Test2' undefined"): print(t2.val) [case testDunderNewAttributeAccess] from __future__ import annotations from mypy_extensions import u8 from testutil import assertRaises class Test: native: int generic: object bitfield: u8 default: int = 5 def __new__(cls, native: int, generic: object, bitfield: u8) -> Test: obj = super().__new__(cls) with assertRaises(AttributeError, "attribute 'native' of 'Test' undefined"): print(obj.native) with assertRaises(AttributeError, "attribute 'generic' of 'Test' undefined"): print(obj.generic) with assertRaises(AttributeError, "attribute 'bitfield' of 'Test' undefined"): print(obj.bitfield) obj.native = native obj.generic = generic obj.bitfield = bitfield obj.native = obj.native + 1 obj.generic = obj.generic.__str__() obj.bitfield = obj.bitfield & 0x0F obj.default = obj.default * 2 return obj def test_attribute_access() -> None: t = Test(42, {}, 0xCC) assert t.native == 43 assert t.generic == "{}" assert t.bitfield == 0x0C assert t.default == 10 [case testDunderNewAttributeAccessInInterpreted] from __future__ import annotations from mypy_extensions import u8 from testutil import assertRaises class Test: native: int generic: object bitfield: u8 default: int = 5 def __new__(cls, native: int, generic: object, bitfield: u8) -> Test: obj = super().__new__(cls) with assertRaises(AttributeError, "attribute 'native' of 'Test' undefined"): print(obj.native) with assertRaises(AttributeError, "attribute 'generic' of 'Test' undefined"): print(obj.generic) with assertRaises(AttributeError, "attribute 'bitfield' of 'Test' undefined"): print(obj.bitfield) obj.native = native obj.generic = generic obj.bitfield = bitfield obj.native = obj.native + 1 obj.generic = obj.generic.__str__() obj.bitfield = obj.bitfield & 0x0F obj.default = obj.default * 2 return obj [file driver.py] from native import Test t = Test(42, {}, 0xCC) assert t.native == 43 assert t.generic == "{}" assert t.bitfield == 0x0C assert t.default == 10 [case testUntransformedDunderNewCalls] from testutil import assertRaises from typing import Any class TestStrCls: def __new__(cls): return str.__new__(cls) @classmethod def factory(cls): return str.__new__(cls) class TestStrStr: def __new__(cls): return str.__new__(str) @classmethod def factory(cls): return str.__new__(str) class TestStrInt: def __new__(cls): return str.__new__(int) @classmethod def factory(cls): return str.__new__(int) def test_untransformed_dunder_new() -> None: with assertRaises(TypeError, "str.__new__(TestStrCls): TestStrCls is not a subtype of str"): i = TestStrCls() j: Any = TestStrStr() assert j == "" with assertRaises(TypeError, "str.__new__(int): int is not a subtype of str"): k = TestStrInt() with assertRaises(TypeError, "str.__new__(TestStrCls): TestStrCls is not a subtype of str"): i = TestStrCls.factory() j = TestStrStr.factory() assert j == "" with assertRaises(TypeError, "str.__new__(int): int is not a subtype of str"): k = TestStrInt.factory() [case testPerTypeFreeList] from __future__ import annotations from mypy_extensions import mypyc_attr a = [] @mypyc_attr(free_list_len=1) class Foo: def __init__(self, x: int) -> None: self.x = x a.append(x) def test_alloc() -> None: x: Foo | None y: Foo | None x = Foo(1) assert x.x == 1 x = None x = Foo(2) assert x.x == 2 y = Foo(3) assert x.x == 2 assert y.x == 3 x = None y = None assert a == [1, 2, 3] x = Foo(4) assert x.x == 4 y = Foo(5) assert x.x == 4 assert y.x == 5 @mypyc_attr(free_list_len=1) class Base: def __init__(self, x: str) -> None: self.x = x class Deriv(Base): def __init__(self, x: str, y: str) -> None: super().__init__(x) self.y = y @mypyc_attr(free_list_len=1) class Deriv2(Base): def __init__(self, x: str, y: str) -> None: super().__init__(x) self.y = y def test_inheritance() -> None: x: Base | None y: Base | None x = Base('x' + str()) y = Base('y' + str()) y = None d = Deriv('a' + str(), 'b' + str()) assert type(d) is Deriv assert d.x == 'a' assert d.y == 'b' assert x.x == 'x' y = Base('z' + str()) assert d.x == 'a' assert d.y == 'b' assert y.x == 'z' x = None y = None def test_inheritance_2() -> None: x: Base | None y: Base | None d: Deriv2 | None x = Base('x' + str()) y = Base('y' + str()) y = None d = Deriv2('a' + str(), 'b' + str()) assert type(d) is Deriv2 assert d.x == 'a' assert d.y == 'b' assert x.x == 'x' d = None d = Deriv2('c' + str(), 'd' + str()) assert type(d) is Deriv2 assert d.x == 'c' assert d.y == 'd' assert x.x == 'x' y = Base('z' + str()) assert type(y) is Base assert d.x == 'c' assert d.y == 'd' assert y.x == 'z' x = None y = None d = None [case testDunderGetAttr] from mypy_extensions import mypyc_attr from typing import ClassVar class GetAttr: class_var = "x" def __init__(self, extra_attrs: dict[str, object], regular_attr: int): self.extra_attrs = extra_attrs self.regular_attr = regular_attr def __getattr__(self, attr: str) -> object: return self.extra_attrs.get(attr) class GetAttrDefault: class_var: ClassVar[str] = "x" def __init__(self, extra_attrs: dict[str, object], regular_attr: int): self.extra_attrs = extra_attrs self.regular_attr = regular_attr def __getattr__(self, attr: str, default: int = 8, mult: int = 1) -> object: return self.extra_attrs.get(attr, default * mult) class GetAttrInherited(GetAttr): subclass_var = "y" def __init__(self, extra_attrs: dict[str, object], regular_attr: int, sub_attr: int): super().__init__(extra_attrs, regular_attr) self.sub_attr = sub_attr class GetAttrOverridden(GetAttr): subclass_var: ClassVar[str] = "y" def __init__(self, extra_attrs: dict[str, object], regular_attr: int, sub_attr: int): super().__init__(extra_attrs, regular_attr) self.sub_attr = sub_attr def __getattr__(self, attr: str) -> str: return attr @mypyc_attr(native_class=False) class GetAttrNonNative: class_var = "x" def __init__(self, extra_attrs: dict[str, object], regular_attr: int): self.extra_attrs = extra_attrs self.regular_attr = regular_attr def __getattr__(self, attr: str) -> object: return self.extra_attrs.get(attr) def test_getattr() -> None: i = GetAttr({"one": 1, "two": "two", "three": 3.14}, 42) assert i.__getattr__("one") == 1 assert i.__getattr__("regular_attr") == None assert i.__getattr__("class_var") == None assert i.__getattr__("four") == None assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "class_var") == "x" assert getattr(i, "four") == None assert i.three == 3.14 assert i.regular_attr == 42 assert i.class_var == "x" assert i.four == None assert i.__class__ == GetAttr i.extra_attrs["regular_attr"] = (4, 4, 4) assert i.__getattr__("regular_attr") == (4, 4, 4) assert getattr(i, "regular_attr") == 42 assert i.regular_attr == 42 def test_getattr_default() -> None: i = GetAttrDefault({"one": 1, "two": "two", "three": 3.14}, 42) assert i.__getattr__("one") == 1 assert i.__getattr__("regular_attr") == 8 assert i.__getattr__("class_var") == 8 assert i.__getattr__("four", 4, 3) == 12 assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "class_var") == "x" assert getattr(i, "four") == 8 assert i.three == 3.14 assert i.regular_attr == 42 assert i.class_var == "x" assert i.four == 8 assert i.__class__ == GetAttrDefault i.extra_attrs["class_var"] = (4, 4, 4) assert i.__getattr__("class_var") == (4, 4, 4) assert getattr(i, "class_var") == "x" assert i.class_var == "x" def test_getattr_inherited() -> None: i = GetAttrInherited({"one": 1, "two": "two", "three": 3.14}, 42, 24) assert i.__getattr__("one") == 1 assert i.__getattr__("regular_attr") == None assert i.__getattr__("sub_attr") == None assert i.__getattr__("class_var") == None assert i.__getattr__("subclass_var") == None assert i.__getattr__("four") == None assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "sub_attr") == 24 assert getattr(i, "class_var") == "x" assert getattr(i, "subclass_var") == "y" assert getattr(i, "four") == None assert i.three == 3.14 assert i.regular_attr == 42 assert i.sub_attr == 24 assert i.class_var == "x" assert i.subclass_var == "y" assert i.four == None assert i.__class__ == GetAttrInherited i.extra_attrs["sub_attr"] = (4, 4, 4) assert i.__getattr__("sub_attr") == (4, 4, 4) assert getattr(i, "sub_attr") == 24 assert i.sub_attr == 24 base_ref: GetAttr = i assert getattr(base_ref, "sub_attr") == 24 assert base_ref.sub_attr == 24 assert getattr(base_ref, "subclass_var") == "y" assert base_ref.subclass_var == "y" assert getattr(base_ref, "new") == None assert base_ref.new == None assert base_ref.__class__ == GetAttrInherited def test_getattr_overridden() -> None: i = GetAttrOverridden({"one": 1, "two": "two", "three": 3.14}, 42, 24) assert i.__getattr__("one") == "one" assert i.__getattr__("regular_attr") == "regular_attr" assert i.__getattr__("sub_attr") == "sub_attr" assert i.__getattr__("class_var") == "class_var" assert i.__getattr__("subclass_var") == "subclass_var" assert i.__getattr__("four") == "four" assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "sub_attr") == 24 assert getattr(i, "class_var") == "x" assert getattr(i, "subclass_var") == "y" assert getattr(i, "four") == "four" assert i.three == "three" assert i.regular_attr == 42 assert i.sub_attr == 24 assert i.class_var == "x" assert i.subclass_var == "y" assert i.four == "four" assert i.__class__ == GetAttrOverridden i.extra_attrs["subclass_var"] = (4, 4, 4) assert i.__getattr__("subclass_var") == "subclass_var" assert getattr(i, "subclass_var") == "y" assert i.subclass_var == "y" base_ref: GetAttr = i assert getattr(base_ref, "sub_attr") == 24 assert base_ref.sub_attr == 24 assert getattr(base_ref, "subclass_var") == "y" assert base_ref.subclass_var == "y" assert getattr(base_ref, "new") == "new" assert base_ref.new == "new" assert base_ref.__class__ == GetAttrOverridden def test_getattr_nonnative() -> None: i = GetAttr({"one": 1, "two": "two", "three": 3.14}, 42) assert i.__getattr__("one") == 1 assert i.__getattr__("regular_attr") == None assert i.__getattr__("class_var") == None assert i.__getattr__("four") == None assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "class_var") == "x" assert getattr(i, "four") == None assert i.three == 3.14 assert i.regular_attr == 42 assert i.class_var == "x" assert i.four == None assert i.__class__ == GetAttr i.extra_attrs["regular_attr"] = (4, 4, 4) assert i.__getattr__("regular_attr") == (4, 4, 4) assert getattr(i, "regular_attr") == 42 assert i.regular_attr == 42 [typing fixtures/typing-full.pyi] [case testDunderGetAttrInterpreted] from mypy_extensions import mypyc_attr from typing import ClassVar class GetAttr: class_var = "x" def __init__(self, extra_attrs: dict[str, object], regular_attr: int): self.extra_attrs = extra_attrs self.regular_attr = regular_attr def __getattr__(self, attr: str) -> object: return self.extra_attrs.get(attr) class GetAttrDefault: class_var: ClassVar[str] = "x" def __init__(self, extra_attrs: dict[str, object], regular_attr: int): self.extra_attrs = extra_attrs self.regular_attr = regular_attr def __getattr__(self, attr: str, default: int = 8, mult: int = 1) -> object: return self.extra_attrs.get(attr, default * mult) class GetAttrInherited(GetAttr): subclass_var = "y" def __init__(self, extra_attrs: dict[str, object], regular_attr: int, sub_attr: int): super().__init__(extra_attrs, regular_attr) self.sub_attr = sub_attr class GetAttrOverridden(GetAttr): subclass_var: ClassVar[str] = "y" def __init__(self, extra_attrs: dict[str, object], regular_attr: int, sub_attr: int): super().__init__(extra_attrs, regular_attr) self.sub_attr = sub_attr def __getattr__(self, attr: str) -> str: return attr @mypyc_attr(native_class=False) class GetAttrNonNative: class_var = "x" def __init__(self, extra_attrs: dict[str, object], regular_attr: int): self.extra_attrs = extra_attrs self.regular_attr = regular_attr def __getattr__(self, attr: str) -> object: return self.extra_attrs.get(attr) [file driver.py] from native import GetAttr, GetAttrDefault, GetAttrInherited, GetAttrOverridden, GetAttrNonNative def test_getattr() -> None: i = GetAttr({"one": 1, "two": "two", "three": 3.14}, 42) assert i.__getattr__("one") == 1 assert i.__getattr__("regular_attr") == None assert i.__getattr__("class_var") == None assert i.__getattr__("four") == None assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "class_var") == "x" assert getattr(i, "four") == None assert i.three == 3.14 assert i.regular_attr == 42 assert i.class_var == "x" assert i.four == None assert i.__class__ == GetAttr i.extra_attrs["regular_attr"] = (4, 4, 4) assert i.__getattr__("regular_attr") == (4, 4, 4) assert getattr(i, "regular_attr") == 42 assert i.regular_attr == 42 def test_getattr_default() -> None: i = GetAttrDefault({"one": 1, "two": "two", "three": 3.14}, 42) assert i.__getattr__("one") == 1 assert i.__getattr__("regular_attr") == 8 assert i.__getattr__("class_var") == 8 assert i.__getattr__("four", 4, 3) == 12 assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "class_var") == "x" assert getattr(i, "four") == 8 assert i.three == 3.14 assert i.regular_attr == 42 assert i.class_var == "x" assert i.four == 8 assert i.__class__ == GetAttrDefault i.extra_attrs["class_var"] = (4, 4, 4) assert i.__getattr__("class_var") == (4, 4, 4) assert getattr(i, "class_var") == "x" assert i.class_var == "x" def test_getattr_inherited() -> None: i = GetAttrInherited({"one": 1, "two": "two", "three": 3.14}, 42, 24) assert i.__getattr__("one") == 1 assert i.__getattr__("regular_attr") == None assert i.__getattr__("sub_attr") == None assert i.__getattr__("class_var") == None assert i.__getattr__("subclass_var") == None assert i.__getattr__("four") == None assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "sub_attr") == 24 assert getattr(i, "class_var") == "x" assert getattr(i, "subclass_var") == "y" assert getattr(i, "four") == None assert i.three == 3.14 assert i.regular_attr == 42 assert i.sub_attr == 24 assert i.class_var == "x" assert i.subclass_var == "y" assert i.four == None assert i.__class__ == GetAttrInherited i.extra_attrs["sub_attr"] = (4, 4, 4) assert i.__getattr__("sub_attr") == (4, 4, 4) assert getattr(i, "sub_attr") == 24 assert i.sub_attr == 24 base_ref: GetAttr = i assert getattr(base_ref, "sub_attr") == 24 assert base_ref.sub_attr == 24 assert getattr(base_ref, "subclass_var") == "y" assert base_ref.subclass_var == "y" assert getattr(base_ref, "new") == None assert base_ref.new == None assert base_ref.__class__ == GetAttrInherited def test_getattr_overridden() -> None: i = GetAttrOverridden({"one": 1, "two": "two", "three": 3.14}, 42, 24) assert i.__getattr__("one") == "one" assert i.__getattr__("regular_attr") == "regular_attr" assert i.__getattr__("sub_attr") == "sub_attr" assert i.__getattr__("class_var") == "class_var" assert i.__getattr__("subclass_var") == "subclass_var" assert i.__getattr__("four") == "four" assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "sub_attr") == 24 assert getattr(i, "class_var") == "x" assert getattr(i, "subclass_var") == "y" assert getattr(i, "four") == "four" assert i.three == "three" assert i.regular_attr == 42 assert i.sub_attr == 24 assert i.class_var == "x" assert i.subclass_var == "y" assert i.four == "four" assert i.__class__ == GetAttrOverridden i.extra_attrs["subclass_var"] = (4, 4, 4) assert i.__getattr__("subclass_var") == "subclass_var" assert getattr(i, "subclass_var") == "y" assert i.subclass_var == "y" base_ref: GetAttr = i assert getattr(base_ref, "sub_attr") == 24 assert base_ref.sub_attr == 24 assert getattr(base_ref, "subclass_var") == "y" assert base_ref.subclass_var == "y" assert getattr(base_ref, "new") == "new" assert base_ref.new == "new" assert base_ref.__class__ == GetAttrOverridden def test_getattr_nonnative() -> None: i = GetAttr({"one": 1, "two": "two", "three": 3.14}, 42) assert i.__getattr__("one") == 1 assert i.__getattr__("regular_attr") == None assert i.__getattr__("class_var") == None assert i.__getattr__("four") == None assert getattr(i, "two") == "two" assert getattr(i, "regular_attr") == 42 assert getattr(i, "class_var") == "x" assert getattr(i, "four") == None assert i.three == 3.14 assert i.regular_attr == 42 assert i.class_var == "x" assert i.four == None assert i.__class__ == GetAttr i.extra_attrs["regular_attr"] = (4, 4, 4) assert i.__getattr__("regular_attr") == (4, 4, 4) assert getattr(i, "regular_attr") == 42 assert i.regular_attr == 42 test_getattr() test_getattr_default() test_getattr_inherited() test_getattr_overridden() test_getattr_nonnative() [typing fixtures/typing-full.pyi] [case testDunderSetAttr] from mypy_extensions import mypyc_attr from testutil import assertRaises from typing import ClassVar class SetAttr: _attributes: dict[str, object] regular_attr: int class_var: ClassVar[str] = "x" const: int = 42 def __init__(self, regular_attr: int, extra_attrs: dict[str, object]) -> None: super().__setattr__("_attributes", extra_attrs) super().__setattr__("regular_attr", regular_attr) def __setattr__(self, key: str, val: object) -> None: if key == "regular_attr": super().__setattr__("regular_attr", val) elif key == "class_var" or key == "const": raise AttributeError() else: self._attributes[key] = val def __getattr__(self, key: str) -> object: return self._attributes.get(key) class SetAttrInherited(SetAttr): def __init__(self, regular_attr: int, extra_attrs: dict[str, object]) -> None: super().__init__(regular_attr, extra_attrs) class SetAttrOverridden(SetAttr): sub_attr: int subclass_var: ClassVar[str] = "y" def __init__(self, regular_attr: int, sub_attr: int, extra_attrs: dict[str, object]) -> None: super().__init__(regular_attr, extra_attrs) object.__setattr__(self, "sub_attr", sub_attr) def __setattr__(self, key: str, val: object) -> None: if key == "sub_attr": object.__setattr__(self, "sub_attr", val) elif key == "subclass_var": raise AttributeError() else: super().__setattr__(key, val) def __delattr__(self, key: str) -> None: del self._attributes[key] @mypyc_attr(native_class=False) class SetAttrNonNative: _attributes: dict[str, object] regular_attr: int class_var: ClassVar[str] = "x" const: int = 42 def __init__(self, regular_attr: int, extra_attrs: dict[str, object]) -> None: super().__setattr__("_attributes", extra_attrs) super().__setattr__("regular_attr", regular_attr) def __setattr__(self, key: str, val: object) -> None: if key == "regular_attr": super().__setattr__("regular_attr", val) elif key == "class_var" or key == "const": raise AttributeError() else: self._attributes[key] = val def __getattr__(self, key: str) -> object: return self._attributes.get(key) class NoSetAttr: def __init__(self, attr: int) -> None: self.attr = attr def object_setattr(self, attr: str, val: object) -> None: object.__setattr__(self, attr, val) def super_setattr(self, attr: str, val: object) -> None: super().__setattr__(attr, val) @mypyc_attr(native_class=False) class NoSetAttrNonNative: def __init__(self, attr: int) -> None: self.attr = attr def object_setattr(self, attr: str, val: object) -> None: object.__setattr__(self, attr, val) def super_setattr(self, attr: str, val: object) -> None: super().__setattr__(attr, val) def __getattr__(self, attr: str) -> object: pass def test_setattr() -> None: i = SetAttr(99, {"one": 1}) assert i.class_var == "x" assert i.regular_attr == 99 assert i.one == 1 assert i.two == None assert i.const == 42 i.__setattr__("two", "2") assert i.two == "2" i.__setattr__("regular_attr", 101) assert i.regular_attr == 101 with assertRaises(AttributeError): i.__setattr__("class_var", "y") with assertRaises(AttributeError): i.__setattr__("const", 43) setattr(i, "three", (3,3,3)) assert i.three == (3,3,3) setattr(i, "regular_attr", 102) assert i.regular_attr == 102 with assertRaises(AttributeError): setattr(i, "class_var", "z") with assertRaises(AttributeError): setattr(i, "const", 44) i.four = [4,4] assert i.four == [4,4] i.regular_attr = 103 assert i.regular_attr == 103 with assertRaises(AttributeError): i.const = 45 # Doesn't work because there's no __delattr__. with assertRaises(AttributeError): del i.four def test_setattr_inherited() -> None: i = SetAttrInherited(99, {"one": 1}) assert i.class_var == "x" assert i.regular_attr == 99 assert i.one == 1 assert i.two == None assert i.const == 42 i.__setattr__("two", "2") assert i.two == "2" i.__setattr__("regular_attr", 101) assert i.regular_attr == 101 with assertRaises(AttributeError): i.__setattr__("class_var", "y") with assertRaises(AttributeError): i.__setattr__("const", 43) setattr(i, "three", (3,3,3)) assert i.three == (3,3,3) setattr(i, "regular_attr", 102) assert i.regular_attr == 102 with assertRaises(AttributeError): setattr(i, "class_var", "z") with assertRaises(AttributeError): setattr(i, "const", 44) i.four = [4,4] assert i.four == [4,4] i.regular_attr = 103 assert i.regular_attr == 103 with assertRaises(AttributeError): i.const = 45 # Doesn't work because there's no __delattr__. with assertRaises(AttributeError): del i.four def test_setattr_overridden() -> None: i = SetAttrOverridden(99, 1, {"one": 1}) assert i.class_var == "x" assert i.subclass_var == "y" assert i.regular_attr == 99 assert i.sub_attr == 1 assert i.one == 1 assert i.two == None assert i.const == 42 i.__setattr__("two", "2") assert i.two == "2" i.__setattr__("regular_attr", 101) assert i.regular_attr == 101 i.__setattr__("sub_attr", 2) assert i.sub_attr == 2 with assertRaises(AttributeError): i.__setattr__("class_var", "y") with assertRaises(AttributeError): i.__setattr__("subclass_var", "a") with assertRaises(AttributeError): i.__setattr__("const", 43) setattr(i, "three", (3,3,3)) assert i.three == (3,3,3) setattr(i, "regular_attr", 102) assert i.regular_attr == 102 setattr(i, "sub_attr", 3) assert i.sub_attr == 3 with assertRaises(AttributeError): setattr(i, "class_var", "z") with assertRaises(AttributeError): setattr(i, "subclass_var", "b") with assertRaises(AttributeError): setattr(i, "const", 44) i.four = [4,4] assert i.four == [4,4] i.regular_attr = 103 assert i.regular_attr == 103 i.sub_attr = 4 assert i.sub_attr == 4 with assertRaises(AttributeError): i.const = 45 del i.four assert "four" not in i._attributes delattr(i, "three") assert "three" not in i._attributes i.__delattr__("two") assert "two" not in i._attributes base_ref: SetAttr = i setattr(base_ref, "sub_attr", 5) assert base_ref.sub_attr == 5 base_ref.sub_attr = 6 assert base_ref.sub_attr == 6 with assertRaises(AttributeError): setattr(base_ref, "subclass_var", "c") base_ref.new_attr = "new_attr" assert base_ref.new_attr == "new_attr" del base_ref.new_attr assert "new_attr" not in base_ref._attributes def test_setattr_nonnative() -> None: i = SetAttrNonNative(99, {"one": 1}) assert i.class_var == "x" assert i.regular_attr == 99 assert i.one == 1 assert i.two == None assert i.const == 42 i.__setattr__("two", "2") assert i.two == "2" i.__setattr__("regular_attr", 101) assert i.regular_attr == 101 with assertRaises(AttributeError): i.__setattr__("class_var", "y") with assertRaises(AttributeError): i.__setattr__("const", 43) setattr(i, "three", (3,3,3)) assert i.three == (3,3,3) setattr(i, "regular_attr", 102) assert i.regular_attr == 102 with assertRaises(AttributeError): setattr(i, "class_var", "z") with assertRaises(AttributeError): setattr(i, "const", 44) i.four = [4,4] assert i.four == [4,4] i.regular_attr = 103 assert i.regular_attr == 103 with assertRaises(AttributeError): i.const = 45 # Doesn't work because there's no __delattr__. with assertRaises(AttributeError): del i.four def test_no_setattr() -> None: i = NoSetAttr(99) i.super_setattr("attr", 100) assert i.attr == 100 i.object_setattr("attr", 101) assert i.attr == 101 object.__setattr__(i, "attr", 102) assert i.attr == 102 with assertRaises(AttributeError): i.super_setattr("not_attr", 100) with assertRaises(AttributeError): i.object_setattr("not_attr", 101) with assertRaises(AttributeError): object.__setattr__(i, "not_attr", 102) def test_no_setattr_nonnative() -> None: i = NoSetAttrNonNative(99) i.super_setattr("attr", 100) assert i.attr == 100 i.object_setattr("attr", 101) assert i.attr == 101 object.__setattr__(i, "attr", 102) assert i.attr == 102 i.super_setattr("one", 100) assert i.one == 100 i.object_setattr("two", 101) assert i.two == 101 object.__setattr__(i, "three", 102) assert i.three == 102 del i.three assert i.three == None delattr(i, "two") assert i.two == None object.__delattr__(i, "one") assert i.one == None [typing fixtures/typing-full.pyi] [case testDunderSetAttrInterpreted] from mypy_extensions import mypyc_attr from typing import ClassVar class SetAttr: _attributes: dict[str, object] regular_attr: int class_var: ClassVar[str] = "x" const: int = 42 def __init__(self, regular_attr: int, extra_attrs: dict[str, object]) -> None: super().__setattr__("_attributes", extra_attrs) super().__setattr__("regular_attr", regular_attr) def __setattr__(self, key: str, val: object) -> None: if key == "regular_attr": super().__setattr__("regular_attr", val) elif key == "class_var" or key == "const": raise AttributeError() else: self._attributes[key] = val def __getattr__(self, key: str) -> object: return self._attributes.get(key) class SetAttrInherited(SetAttr): def __init__(self, regular_attr: int, extra_attrs: dict[str, object]) -> None: super().__init__(regular_attr, extra_attrs) class SetAttrOverridden(SetAttr): sub_attr: int subclass_var: ClassVar[str] = "y" def __init__(self, regular_attr: int, sub_attr: int, extra_attrs: dict[str, object]) -> None: super().__init__(regular_attr, extra_attrs) object.__setattr__(self, "sub_attr", sub_attr) def __setattr__(self, key: str, val: object) -> None: if key == "sub_attr": object.__setattr__(self, "sub_attr", val) elif key == "subclass_var": raise AttributeError() else: super().__setattr__(key, val) def __delattr__(self, key: str) -> None: del self._attributes[key] @mypyc_attr(native_class=False) class SetAttrNonNative: _attributes: dict[str, object] regular_attr: int class_var: ClassVar[str] = "x" const: int = 42 def __init__(self, regular_attr: int, extra_attrs: dict[str, object]) -> None: super().__setattr__("_attributes", extra_attrs) super().__setattr__("regular_attr", regular_attr) def __setattr__(self, key: str, val: object) -> None: if key == "regular_attr": super().__setattr__("regular_attr", val) elif key == "class_var" or key == "const": raise AttributeError() else: self._attributes[key] = val def __getattr__(self, key: str) -> object: return self._attributes.get(key) class NoSetAttr: def __init__(self, attr: int) -> None: self.attr = attr def object_setattr(self, attr: str, val: object) -> None: object.__setattr__(self, attr, val) def super_setattr(self, attr: str, val: object) -> None: super().__setattr__(attr, val) @mypyc_attr(native_class=False) class NoSetAttrNonNative: def __init__(self, attr: int) -> None: self.attr = attr def object_setattr(self, attr: str, val: object) -> None: object.__setattr__(self, attr, val) def super_setattr(self, attr: str, val: object) -> None: super().__setattr__(attr, val) def __getattr__(self, attr: str) -> object: pass [file driver.py] from native import SetAttr, SetAttrInherited, SetAttrOverridden, SetAttrNonNative, NoSetAttr, NoSetAttrNonNative from testutil import assertRaises def test_setattr() -> None: i = SetAttr(99, {"one": 1}) assert i.class_var == "x" assert i.regular_attr == 99 assert i.one == 1 assert i.two == None assert i.const == 42 i.__setattr__("two", "2") assert i.two == "2" i.__setattr__("regular_attr", 101) assert i.regular_attr == 101 with assertRaises(AttributeError): i.__setattr__("class_var", "y") with assertRaises(AttributeError): i.__setattr__("const", 43) setattr(i, "three", (3,3,3)) assert i.three == (3,3,3) setattr(i, "regular_attr", 102) assert i.regular_attr == 102 with assertRaises(AttributeError): setattr(i, "class_var", "z") with assertRaises(AttributeError): setattr(i, "const", 44) i.four = [4,4] assert i.four == [4,4] i.regular_attr = 103 assert i.regular_attr == 103 with assertRaises(AttributeError): i.const = 45 # Doesn't work because there's no __delattr__. with assertRaises(AttributeError): del i.four def test_setattr_inherited() -> None: i = SetAttrInherited(99, {"one": 1}) assert i.class_var == "x" assert i.regular_attr == 99 assert i.one == 1 assert i.two == None assert i.const == 42 i.__setattr__("two", "2") assert i.two == "2" i.__setattr__("regular_attr", 101) assert i.regular_attr == 101 with assertRaises(AttributeError): i.__setattr__("class_var", "y") with assertRaises(AttributeError): i.__setattr__("const", 43) setattr(i, "three", (3,3,3)) assert i.three == (3,3,3) setattr(i, "regular_attr", 102) assert i.regular_attr == 102 with assertRaises(AttributeError): setattr(i, "class_var", "z") with assertRaises(AttributeError): setattr(i, "const", 44) i.four = [4,4] assert i.four == [4,4] i.regular_attr = 103 assert i.regular_attr == 103 with assertRaises(AttributeError): i.const = 45 # Doesn't work because there's no __delattr__. with assertRaises(AttributeError): del i.four def test_setattr_overridden() -> None: i = SetAttrOverridden(99, 1, {"one": 1}) assert i.class_var == "x" assert i.subclass_var == "y" assert i.regular_attr == 99 assert i.sub_attr == 1 assert i.one == 1 assert i.two == None assert i.const == 42 i.__setattr__("two", "2") assert i.two == "2" i.__setattr__("regular_attr", 101) assert i.regular_attr == 101 i.__setattr__("sub_attr", 2) assert i.sub_attr == 2 with assertRaises(AttributeError): i.__setattr__("class_var", "y") with assertRaises(AttributeError): i.__setattr__("subclass_var", "a") with assertRaises(AttributeError): i.__setattr__("const", 43) setattr(i, "three", (3,3,3)) assert i.three == (3,3,3) setattr(i, "regular_attr", 102) assert i.regular_attr == 102 setattr(i, "sub_attr", 3) assert i.sub_attr == 3 with assertRaises(AttributeError): setattr(i, "class_var", "z") with assertRaises(AttributeError): setattr(i, "subclass_var", "b") with assertRaises(AttributeError): setattr(i, "const", 44) i.four = [4,4] assert i.four == [4,4] i.regular_attr = 103 assert i.regular_attr == 103 i.sub_attr = 4 assert i.sub_attr == 4 with assertRaises(AttributeError): i.const = 45 del i.four assert "four" not in i._attributes delattr(i, "three") assert "three" not in i._attributes i.__delattr__("two") assert "two" not in i._attributes base_ref: SetAttr = i setattr(base_ref, "sub_attr", 5) assert base_ref.sub_attr == 5 base_ref.sub_attr = 6 assert base_ref.sub_attr == 6 with assertRaises(AttributeError): setattr(base_ref, "subclass_var", "c") base_ref.new_attr = "new_attr" assert base_ref.new_attr == "new_attr" del base_ref.new_attr assert "new_attr" not in base_ref._attributes def test_setattr_nonnative() -> None: i = SetAttrNonNative(99, {"one": 1}) assert i.class_var == "x" assert i.regular_attr == 99 assert i.one == 1 assert i.two == None assert i.const == 42 i.__setattr__("two", "2") assert i.two == "2" i.__setattr__("regular_attr", 101) assert i.regular_attr == 101 with assertRaises(AttributeError): i.__setattr__("class_var", "y") with assertRaises(AttributeError): i.__setattr__("const", 43) setattr(i, "three", (3,3,3)) assert i.three == (3,3,3) setattr(i, "regular_attr", 102) assert i.regular_attr == 102 with assertRaises(AttributeError): setattr(i, "class_var", "z") with assertRaises(AttributeError): setattr(i, "const", 44) i.four = [4,4] assert i.four == [4,4] i.regular_attr = 103 assert i.regular_attr == 103 with assertRaises(AttributeError): i.const = 45 # Doesn't work because there's no __delattr__. with assertRaises(AttributeError): del i.four def test_no_setattr() -> None: i = NoSetAttr(99) i.super_setattr("attr", 100) assert i.attr == 100 i.object_setattr("attr", 101) assert i.attr == 101 object.__setattr__(i, "attr", 102) assert i.attr == 102 with assertRaises(AttributeError): i.super_setattr("not_attr", 100) with assertRaises(AttributeError): i.object_setattr("not_attr", 101) with assertRaises(AttributeError): object.__setattr__(i, "not_attr", 102) def test_no_setattr_nonnative() -> None: i = NoSetAttrNonNative(99) i.super_setattr("attr", 100) assert i.attr == 100 i.object_setattr("attr", 101) assert i.attr == 101 object.__setattr__(i, "attr", 102) assert i.attr == 102 i.super_setattr("one", 100) assert i.one == 100 i.object_setattr("two", 101) assert i.two == 101 object.__setattr__(i, "three", 102) assert i.three == 102 del i.three assert i.three == None delattr(i, "two") assert i.two == None object.__delattr__(i, "one") assert i.one == None test_setattr() test_setattr_inherited() test_setattr_overridden() test_setattr_nonnative() test_no_setattr() test_no_setattr_nonnative() [typing fixtures/typing-full.pyi] [case testDelAttrWithDeletableAttr] from testutil import assertRaises class DelAttr: __deletable__ = ["del_counter"] _attributes: dict[str, object] del_counter: int = 0 def __init__(self) -> None: object.__setattr__(self, "_attributes", {}) def __setattr__(self, key: str, val: object) -> None: if key == "del_counter": object.__setattr__(self, "del_counter", val) else: self._attributes[key] = val def __delattr__(self, key: str) -> None: if key == "del_counter": self.del_counter += 1 else: del self._attributes[key] def test_deletable_attr() -> None: i = DelAttr() assert i.del_counter == 0 del i.del_counter assert i.del_counter == 1 [case testDelAttrWithDeletableAttrInterpreted] class DelAttr: __deletable__ = ["del_counter"] _attributes: dict[str, object] del_counter: int = 0 def __init__(self) -> None: object.__setattr__(self, "_attributes", {}) def __setattr__(self, key: str, val: object) -> None: if key == "del_counter": object.__setattr__(self, "del_counter", val) else: self._attributes[key] = val def __delattr__(self, key: str) -> None: if key == "del_counter": self.del_counter += 1 else: del self._attributes[key] [file driver.py] from native import DelAttr from testutil import assertRaises def test_deletable_attr() -> None: i = DelAttr() assert i.del_counter == 0 del i.del_counter assert i.del_counter == 1 test_deletable_attr() [case testBufferCorruptedData_librt_internal] from librt.internal import ( ReadBuffer, read_bool, read_str, read_float, read_int, read_tag, read_bytes ) from random import randbytes def check(data: bytes) -> None: b = ReadBuffer(data) try: while True: read_bool(b) except ValueError: pass b = ReadBuffer(data) read_tag(b) # Always succeeds try: while True: read_int(b) except ValueError: pass b = ReadBuffer(data) try: while True: read_str(b) except ValueError: pass b = ReadBuffer(data) try: while True: read_bytes(b) except ValueError: pass b = ReadBuffer(data) try: while True: read_float(b) except ValueError: pass import time def test_read_corrupted_data() -> None: # Test various deterministic byte sequences (1 to 4 bytes). t0 = time.time() for a in range(256): check(bytes([a])) for a in range(256): for b in range(256): check(bytes([a, b])) for a in range(32): for b in range(48): for c in range(48): check(bytes([a, b, c])) for a in range(32): for b in (0, 5, 17, 34): for c in (0, 5, 17, 34): for d in (0, 5, 17, 34): check(bytes([a, b, c, d])) # Also test some random data. for i in range(20000): data = randbytes(16) try: check(data) except BaseException as e: print("RANDOMIZED TEST FAILURE -- please open an issue with the following context:") print(">>>", e, data) raise ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-dicts.test0000644000175100017510000002116515112307767020124 0ustar00runnerrunner# Test cases for dicts (compile and run) [case testDictStuff] from typing import Dict, Any, List, Set, Tuple from defaultdictwrap import make_dict def f(x: int) -> int: dict1 = {} # type: Dict[int, int] dict1[1] = 1 dict2 = {} # type: Dict[int, int] dict2[x] = 2 dict1.update(dict2) l = [(5, 2)] # type: Any dict1.update(l) d2 = {6: 4} # type: Any dict1.update(d2) return dict1[1] def g() -> int: d = make_dict() d['a'] = 10 d['a'] += 10 d['b'] += 10 l = [('c', 2)] # type: Any d.update(l) d2 = {'d': 4} # type: Any d.update(d2) return d['a'] + d['b'] def h() -> None: d = {} # type: Dict[Any, Any] d[{}] def update_dict(x: Dict[Any, Any], y: Any): x.update(y) def make_dict1(x: Any) -> Dict[Any, Any]: return dict(x) def make_dict2(x: Dict[Any, Any]) -> Dict[Any, Any]: return dict(x) def u(x: int) -> int: d = {} # type: Dict[str, int] d.update(x=x) return d['x'] def get_content(d: Dict[int, int]) -> Tuple[List[int], List[int], List[Tuple[int, int]]]: return list(d.keys()), list(d.values()), list(d.items()) def get_content_set(d: Dict[int, int]) -> Tuple[Set[int], Set[int], Set[Tuple[int, int]]]: return set(d.keys()), set(d.values()), set(d.items()) [file defaultdictwrap.py] from typing import Dict from collections import defaultdict # type: ignore def make_dict() -> Dict[str, int]: return defaultdict(int) [file driver.py] from collections import OrderedDict from native import ( f, g, h, u, make_dict1, make_dict2, update_dict, get_content, get_content_set ) assert f(1) == 2 assert f(2) == 1 assert g() == 30 # Make sure we get a TypeError from indexing with unhashable and not KeyError try: h() except TypeError: pass else: assert False d = {'a': 1, 'b': 2} assert make_dict1(d) == d assert make_dict1(d.items()) == d assert make_dict2(d) == d # object.__dict__ is a "mappingproxy" and not a dict assert make_dict1(object.__dict__) == dict(object.__dict__) d = {} update_dict(d, object.__dict__) assert d == dict(object.__dict__) assert u(10) == 10 assert get_content({1: 2}) == ([1], [2], [(1, 2)]) od = OrderedDict([(1, 2), (3, 4)]) assert get_content(od) == ([1, 3], [2, 4], [(1, 2), (3, 4)]) od.move_to_end(1) assert get_content(od) == ([3, 1], [4, 2], [(3, 4), (1, 2)]) assert get_content_set({1: 2}) == ({1}, {2}, {(1, 2)}) assert get_content_set(od) == ({1, 3}, {2, 4}, {(1, 2), (3, 4)}) [typing fixtures/typing-full.pyi] [case testDictIterationMethodsRun] from typing import Dict, TypedDict, Union class ExtensionDict(TypedDict): python: str c: str def print_dict_methods(d1: Dict[int, int], d2: Dict[int, int], d3: Dict[int, int]) -> None: for k in d1.keys(): print(k) for k, v in d2.items(): print(k) print(v) for v in d3.values(): print(v) def print_dict_methods_special(d1: Union[Dict[int, int], Dict[str, str]], d2: ExtensionDict) -> None: for k in d1.keys(): print(k) for k, v in d1.items(): print(k) print(v) for v2 in d2.values(): print(v2) for k2, v2 in d2.items(): print(k2) print(v2) def clear_during_iter(d: Dict[int, int]) -> None: for k in d: d.clear() class Custom(Dict[int, int]): pass [file driver.py] from native import print_dict_methods, print_dict_methods_special, Custom, clear_during_iter from collections import OrderedDict print_dict_methods({}, {}, {}) print_dict_methods({1: 2}, {3: 4, 5: 6}, {7: 8}) print('==') c = Custom({0: 1}) print_dict_methods(c, c, c) print('==') d = OrderedDict([(1, 2), (3, 4)]) print_dict_methods(d, d, d) print('==') print_dict_methods_special({1: 2}, {"python": ".py", "c": ".c"}) d.move_to_end(1) print_dict_methods(d, d, d) clear_during_iter({}) # OK try: clear_during_iter({1: 2, 3: 4}) except RuntimeError as e: assert str(e) == "dictionary changed size during iteration" else: assert False try: clear_during_iter(d) except RuntimeError as e: assert str(e) in ( "OrderedDict changed size during iteration", # Error message changed in Python 3.13 and some 3.12 patch version "OrderedDict mutated during iteration", ) else: assert False class CustomMad(dict): def __iter__(self): return self def __next__(self): raise ValueError m = CustomMad() try: clear_during_iter(m) except ValueError: pass else: assert False class CustomBad(dict): def items(self): return [(1, 2, 3)] # Oops b = CustomBad() try: print_dict_methods(b, b, b) except TypeError as e: assert str(e) == "a tuple of length 2 expected" else: assert False [typing fixtures/typing-full.pyi] [out] 1 3 4 5 6 8 == 0 0 1 1 == 1 3 1 2 3 4 2 4 == 1 1 2 .py .c python .py c .c 3 1 3 4 1 2 4 2 [case testDictMethods] from collections import defaultdict from typing import Dict, Optional, List, Set def test_dict_clear() -> None: d = {'a': 1, 'b': 2} d.clear() assert d == {} dd: Dict[str, int] = defaultdict(int) dd['a'] = 1 dd.clear() assert dd == {} def test_dict_copy() -> None: d: Dict[str, int] = {} assert d.copy() == d d = {'a': 1, 'b': 2} assert d.copy() == d assert d.copy() is not d dd: Dict[str, int] = defaultdict(int) dd['a'] = 1 assert dd.copy() == dd assert isinstance(dd.copy(), defaultdict) class MyDict(dict): def __init__(self, *args, **kwargs): self.update(*args, **kwargs) def setdefault(self, k, v=None): if v is None: if k in self.keys(): return self[k] else: return None else: return super().setdefault(k, v) + 10 def test_dict_setdefault() -> None: d: Dict[str, Optional[int]] = {'a': 1, 'b': 2} assert d.setdefault('a', 2) == 1 assert d.setdefault('b', 2) == 2 assert d.setdefault('c', 3) == 3 assert d['a'] == 1 assert d['c'] == 3 assert d.setdefault('a') == 1 assert d.setdefault('e') == None assert d.setdefault('e', 100) == None def test_dict_subclass_setdefault() -> None: d = MyDict() d['a'] = 1 assert d.setdefault('a', 2) == 11 assert d.setdefault('b', 2) == 12 assert d.setdefault('c', 3) == 13 assert d['a'] == 1 assert d['c'] == 3 assert d.setdefault('a') == 1 assert d.setdefault('e') == None assert d.setdefault('e', 100) == 110 def test_dict_empty_collection_setdefault() -> None: d1: Dict[str, List[int]] = {'a': [1, 2, 3]} assert d1.setdefault('a', []) == [1, 2, 3] assert d1.setdefault('b', []) == [] assert 'b' in d1 d1.setdefault('b', []).append(3) assert d1['b'] == [3] assert d1.setdefault('c', [1]) == [1] d2: Dict[str, Dict[str, int]] = {'a': {'a': 1}} assert d2.setdefault('a', {}) == {'a': 1} assert d2.setdefault('b', {}) == {} assert 'b' in d2 d2.setdefault('b', {})['aa'] = 2 d2.setdefault('b', {})['bb'] = 3 assert d2['b'] == {'aa': 2, 'bb': 3} assert d2.setdefault('c', {'cc': 1}) == {'cc': 1} d3: Dict[str, Set[str]] = {'a': set('a')} assert d3.setdefault('a', set()) == {'a'} assert d3.setdefault('b', set()) == set() d3.setdefault('b', set()).add('b') d3.setdefault('b', set()).add('c') assert d3['b'] == {'b', 'c'} assert d3.setdefault('c', set('d')) == {'d'} [case testDictToBool] from typing import Dict, List def is_true(x: dict) -> bool: if x: return True else: return False def is_false(x: dict) -> bool: if not x: return True else: return False def test_dict_to_bool() -> None: assert is_false({}) assert not is_true({}) tmp_list: List[Dict] = [{2: bool}, {'a': 'b'}] for x in tmp_list: assert is_true(x) assert not is_false(x) [case testIsInstance] from copysubclass import subc def test_built_in() -> None: assert isinstance({}, dict) assert isinstance({'one': 1, 'two': 2}, dict) assert isinstance({1: 1, 'two': 2}, dict) assert isinstance(subc(), dict) assert isinstance(subc({'a': 1, 'b': 2}), dict) assert isinstance(subc({1: 'a', 2: 'b'}), dict) assert not isinstance(set(), dict) assert not isinstance((), dict) assert not isinstance((1,2,3), dict) assert not isinstance({'a','b'}, dict) assert not isinstance(int() + 1, dict) assert not isinstance(str() + 'a', dict) def test_user_defined() -> None: from userdefineddict import dict assert isinstance(dict(), dict) assert not isinstance({1: dict()}, dict) [file copysubclass.py] from typing import Any class subc(dict[Any, Any]): pass [file userdefineddict.py] class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-dunders-special.test0000644000175100017510000000070515112307767022075 0ustar00runnerrunner[case testDundersNotImplemented] # This case is special because it tests the behavior of NotImplemented # used in a typed function which return type is bool. # This is a convention that can be overridden by the user. class UsesNotImplemented: def __eq__(self, b: object) -> bool: return NotImplemented def test_not_implemented() -> None: assert UsesNotImplemented() != object() x = UsesNotImplemented() == object() assert not x ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-dunders.test0000644000175100017510000005415615112307767020470 0ustar00runnerrunner# Test cases for (some) dunder methods (compile and run) [case testDundersMisc] # Legacy test case for dunders (don't add more here) from typing import Any class Item: def __init__(self, value: str) -> None: self.value = value def __hash__(self) -> int: return hash(self.value) def __eq__(self, rhs: object) -> bool: return isinstance(rhs, Item) and self.value == rhs.value def __lt__(self, x: 'Item') -> bool: return self.value < x.value class Subclass1(Item): def __bool__(self) -> bool: return bool(self.value) class NonBoxedThing: def __getitem__(self, index: Item) -> Item: return Item("2 * " + index.value + " + 1") class BoxedThing: def __getitem__(self, index: int) -> int: return 2 * index + 1 class Subclass2(BoxedThing): pass def index_into(x : Any, y : Any) -> Any: return x[y] def internal_index_into() -> None: x = BoxedThing() print (x[3]) y = NonBoxedThing() z = Item("3") print(y[z].value) def is_truthy(x: Item) -> bool: return True if x else False [file driver.py] from native import * x = BoxedThing() y = 3 print(x[y], index_into(x, y)) x = Subclass2() y = 3 print(x[y], index_into(x, y)) z = NonBoxedThing() w = Item("3") print(z[w].value, index_into(z, w).value) i1 = Item('lolol') i2 = Item('lol' + 'ol') i3 = Item('xyzzy') assert hash(i1) == hash(i2) assert i1 == i2 assert not i1 != i2 assert not i1 == i3 assert i1 != i3 assert i2 < i3 assert not i1 < i2 assert i1 == Subclass1('lolol') assert is_truthy(Item('')) assert is_truthy(Item('a')) assert not is_truthy(Subclass1('')) assert is_truthy(Subclass1('a')) internal_index_into() [out] 7 7 7 7 2 * 3 + 1 2 * 3 + 1 7 2 * 3 + 1 [case testDundersContainer] # Sequence/mapping dunder methods from typing import Any class Seq: def __init__(self) -> None: self.key = 0 self.value = 0 def __len__(self) -> int: return 5 def __setitem__(self, key: int, value: int) -> None: self.key = key self.value = value def __contains__(self, x: int) -> bool: return x == 3 def __delitem__(self, key: int) -> None: self.key = key class Plain: pass def any_seq() -> Any: """Return Any-typed Seq.""" return Seq() def any_plain() -> Any: """Return Any-typed Seq.""" return Plain() def test_len() -> None: assert len(any_seq()) == 5 assert len(Seq()) == 5 def test_len_error() -> None: try: len(any_plain()) except TypeError: pass else: assert False def test_set_item() -> None: s = any_seq() s[44] = 66 assert s.key == 44 and s.value == 66 ss = Seq() ss[33] = 55 assert ss.key == 33 and ss.value == 55 def test_contains() -> None: assert 3 in any_seq() assert 4 not in any_seq() assert 2 not in any_seq() assert 3 in Seq() assert 4 not in Seq() assert 2 not in Seq() def test_delitem() -> None: s = any_seq() del s[55] assert s.key == 55 class SeqAny: def __contains__(self, x: Any) -> Any: return x == 3 def __setitem__(self, x: Any, y: Any) -> Any: self.x = x return 'x' def test_contains_any() -> None: assert (3 in SeqAny()) is True assert (2 in SeqAny()) is False assert (3 not in SeqAny()) is False assert (2 not in SeqAny()) is True s = SeqAny() # type: Any assert (3 in s) is True assert (2 in s) is False assert (3 not in s) is False assert (2 not in s) is True def test_set_item_any() -> None: s = SeqAny() s[4] = 6 assert s.x == 4 ss = SeqAny() # type: Any ss[5] = 7 assert ss.x == 5 class SeqError: def __setitem__(self, key: int, value: int) -> None: raise RuntimeError() def __contains__(self, x: int) -> bool: raise RuntimeError() def __len__(self) -> int: return -5 def any_seq_error() -> Any: return SeqError() def test_set_item_error_propagate() -> None: s = any_seq_error() try: s[44] = 66 except RuntimeError: pass else: assert False def test_contains_error_propagate() -> None: s = any_seq_error() try: 3 in s except RuntimeError: pass else: assert False def test_negative_len() -> None: try: len(SeqError()) except ValueError: pass else: assert False class DelItemNoSetItem: def __delitem__(self, x: int) -> None: self.key = x def test_del_item_with_no_set_item() -> None: o = DelItemNoSetItem() del o[22] assert o.key == 22 a = o # type: Any del a[12] assert a.key == 12 try: a[1] = 2 except TypeError as e: assert str(e) == "'DelItemNoSetItem' object does not support item assignment" else: assert False class SetItemOverride(dict): # Only override __setitem__, __delitem__ comes from dict def __setitem__(self, x: int, y: int) -> None: self.key = x self.value = y def test_set_item_override() -> None: o = SetItemOverride({'x': 12, 'y': 13}) o[2] = 3 assert o.key == 2 and o.value == 3 a = o # type: Any o[4] = 5 assert o.key == 4 and o.value == 5 assert o['x'] == 12 assert o['y'] == 13 del o['x'] assert 'x' not in o and 'y' in o del a['y'] assert 'y' not in a and 'x' not in a class DelItemOverride(dict): # Only override __delitem__, __setitem__ comes from dict def __delitem__(self, x: int) -> None: self.key = x def test_del_item_override() -> None: o = DelItemOverride() del o[2] assert o.key == 2 a = o # type: Any del o[5] assert o.key == 5 o['x'] = 12 assert o['x'] == 12 a['y'] = 13 assert a['y'] == 13 class SetItemOverrideNative(Seq): def __setitem__(self, key: int, value: int) -> None: self.key = key + 1 self.value = value + 1 def test_native_set_item_override() -> None: o = SetItemOverrideNative() o[1] = 4 assert o.key == 2 and o.value == 5 del o[6] assert o.key == 6 a = o # type: Any a[10] = 12 assert a.key == 11 and a.value == 13 del a[16] assert a.key == 16 class DelItemOverrideNative(Seq): def __delitem__(self, key: int) -> None: self.key = key + 2 def test_native_del_item_override() -> None: o = DelItemOverrideNative() o[1] = 4 assert o.key == 1 and o.value == 4 del o[6] assert o.key == 8 a = o # type: Any a[10] = 12 assert a.key == 10 and a.value == 12 del a[16] assert a.key == 18 [case testDundersNumber] from typing import Any class C: def __init__(self, x: int) -> None: self.x = x def __neg__(self) -> int: return self.x + 1 def __invert__(self) -> int: return self.x + 2 def __int__(self) -> int: return self.x + 3 def __float__(self) -> float: return float(self.x + 4) def __pos__(self) -> int: return self.x + 5 def __abs__(self) -> int: return abs(self.x) + 6 def test_unary_dunders_generic() -> None: a: Any = C(10) assert -a == 11 assert ~a == 12 assert int(a) == 13 assert float(a) == 14.0 assert +a == 15 assert abs(a) == 16 def test_unary_dunders_native() -> None: c = C(10) assert -c == 11 assert ~c == 12 assert int(c) == 13 assert float(c) == 14.0 assert +c == 15 assert abs(c) == 16 [case testDundersBinarySimple] from typing import Any class C: def __init__(self) -> None: self.x = 5 def __add__(self, y: int) -> int: return self.x + y def __sub__(self, y: int) -> int: return self.x - y def __mul__(self, y: int) -> int: return self.x * y def __mod__(self, y: int) -> int: return self.x % y def __lshift__(self, y: int) -> int: return self.x << y def __rshift__(self, y: int) -> int: return self.x >> y def __and__(self, y: int) -> int: return self.x & y def __or__(self, y: int) -> int: return self.x | y def __xor__(self, y: int) -> int: return self.x ^ y def __matmul__(self, y: int) -> int: return self.x + y + 10 def __truediv__(self, y: int) -> int: return self.x + y + 20 def __floordiv__(self, y: int) -> int: return self.x + y + 30 def __divmod__(self, y: int) -> int: return self.x + y + 40 def __pow__(self, y: int) -> int: return self.x + y + 50 def test_generic() -> None: a: Any = C() assert a + 3 == 8 assert a - 3 == 2 assert a * 5 == 25 assert a % 2 == 1 assert a << 4 == 80 assert a >> 0 == 5 assert a >> 1 == 2 assert a & 1 == 1 assert a | 3 == 7 assert a ^ 3 == 6 assert a @ 3 == 18 assert a / 2 == 27 assert a // 2 == 37 assert divmod(a, 2) == 47 assert a ** 2 == 57 def test_native() -> None: c = C() assert c + 3 == 8 assert c - 3 == 2 assert divmod(c, 3) == 48 assert c ** 3 == 58 def test_error() -> None: a: Any = C() try: a + 'x' except TypeError as e: assert str(e) == "unsupported operand type(s) for +: 'C' and 'str'" else: assert False try: a - 'x' except TypeError as e: assert str(e) == "unsupported operand type(s) for -: 'C' and 'str'" else: assert False try: a ** 'x' except TypeError as e: assert str(e) == "unsupported operand type(s) for **: 'C' and 'str'" else: assert False [case testDundersBinaryReverse] from typing import Any class C: def __init__(self) -> None: self.x = 5 def __add__(self, y: int) -> int: return self.x + y def __radd__(self, y: int) -> int: return self.x + y + 1 def __sub__(self, y: int) -> int: return self.x - y def __rsub__(self, y: int) -> int: return self.x - y - 1 def __pow__(self, y: int) -> int: return self.x**y def __rpow__(self, y: int) -> int: return self.x**y + 1 def test_generic() -> None: a: Any = C() assert a + 3 == 8 assert 4 + a == 10 assert a - 3 == 2 assert 4 - a == 0 assert a**3 == 125 assert 4**a == 626 def test_native() -> None: c = C() assert c + 3 == 8 assert 4 + c == 10 assert c - 3 == 2 assert 4 - c == 0 assert c**3 == 125 assert 4**c == 626 def test_errors() -> None: a: Any = C() try: a + 'x' except TypeError as e: assert str(e) == "unsupported operand type(s) for +: 'C' and 'str'" else: assert False try: a - 'x' except TypeError as e: assert str(e) == "unsupported operand type(s) for -: 'C' and 'str'" else: assert False try: 'x' + a except TypeError as e: assert str(e) in ('can only concatenate str (not "C") to str', 'must be str, not C') else: assert False try: 'x' ** a except TypeError as e: assert str(e) == "unsupported operand type(s) for ** or pow(): 'str' and 'C'" else: assert False class F: def __add__(self, x: int) -> int: return 5 def __pow__(self, x: int) -> int: return -5 class G: def __add__(self, x: int) -> int: return 33 def __pow__(self, x: int) -> int: return -33 def __radd__(self, x: F) -> int: return 6 def __rpow__(self, x: F) -> int: return -6 def test_type_mismatch_fall_back_to_reverse() -> None: assert F() + G() == 6 assert F()**G() == -6 [case testDundersBinaryNotImplemented] # mypy: allow-untyped-defs from typing import Any, Union from testutil import assertRaises class C: def __init__(self, v: int) -> None: self.v = v def __add__(self, y: int) -> Union[int, Any]: if y == 1: return self.v return NotImplemented def test_any_add() -> None: a: Any = C(4) assert a + 1 == 4 try: a + 2 except TypeError: pass else: assert False class D: def __init__(self, x: int) -> None: self.x = x def __add__(self, e: E) -> Union[int, Any]: if e.x == 1: return 2 return NotImplemented class E: def __init__(self, x: int) -> None: self.x = x def __radd__(self, d: D) -> Union[int, Any]: if d.x == 3: return 4 return NotImplemented def test_any_radd() -> None: d1: Any = D(1) d3: Any = D(3) e1: Any = E(1) e3: Any = E(3) assert d1 + e1 == 2 assert d3 + e1 == 2 assert d3 + e3 == 4 class F: def __init__(self, v): self.v = v def __add__(self, x): if isinstance(x, int): return self.v + x return NotImplemented class G: def __radd__(self, x): if isinstance(x, F): return x.v + 1 if isinstance(x, str): return 'a' return NotImplemented def test_unannotated_add() -> None: o = F(4) assert o + 5 == 9 with assertRaises(TypeError, "unsupported operand type(s) for +: 'F' and 'str'"): o + 'x' o2: Any = F(4) assert o2 + 5 == 9 with assertRaises(TypeError, "unsupported operand type(s) for +: 'F' and 'str'"): o2 + 'x' def test_unannotated_add_and_radd_1() -> None: o = F(4) assert o + G() == 5 o2: Any = F(4) assert o2 + G() == 5 def test_unannotated_radd() -> None: assert 'x' + G() == 'a' with assertRaises(TypeError, "unsupported operand type(s) for +: 'int' and 'G'"): 1 + G() o: Any = G() assert 'x' + o == 'a' with assertRaises(TypeError, "unsupported operand type(s) for +: 'int' and 'G'"): 1 + o class H: def __add__(self, x): if isinstance(x, int): return x + 1 return NotImplemented def __radd__(self, x): if isinstance(x, str): return 22 return NotImplemented def test_unannotated_add_and_radd_2() -> None: h = H() assert h + 5 == 6 assert 'x' + h == 22 with assertRaises(TypeError, "unsupported operand type(s) for +: 'int' and 'H'"): 1 + h h2: Any = H() assert h + 5 == 6 assert 'x' + h == 22 with assertRaises(TypeError, "unsupported operand type(s) for +: 'int' and 'H'"): 1 + h # TODO: Inheritance [case testDifferentReverseDunders] from typing import Any class C: # __radd__ and __rsub__ are tested elsewhere def __rmul__(self, x: Any) -> int: return 1 def __rtruediv__(self, x: Any) -> int: return 2 def __rmod__(self, x: Any) -> int: return 3 def __rfloordiv__(self, x: Any) -> int: return 4 def __rlshift__(self, x: Any) -> int: return 5 def __rrshift__(self, x: Any) -> int: return 6 def __rand__(self, x: Any) -> int: return 7 def __ror__(self, x: Any) -> int: return 8 def __rxor__(self, x: Any) -> int: return 9 def __rmatmul__(self, x: Any) -> int: return 10 def test_reverse_dunders() -> None: x = 0 c = C() assert x * c == 1 assert x / c == 2 assert x % c == 3 assert x // c == 4 assert x << c == 5 assert x >> c == 6 assert x & c == 7 assert x | c == 8 assert x ^ c == 9 assert x @ c == 10 [case testDundersInplace] from typing import Any from testutil import assertRaises class C: def __init__(self) -> None: self.x = 5 def __iadd__(self, y: int) -> C: self.x += y return self def __isub__(self, y: int) -> C: self.x -= y return self def __imul__(self, y: int) -> C: self.x *= y return self def __imod__(self, y: int) -> C: self.x %= y return self def __itruediv__(self, y: int) -> C: self.x += y + 10 return self def __ifloordiv__(self, y: int) -> C: self.x += y + 20 return self def __ilshift__(self, y: int) -> C: self.x <<= y return self def __irshift__(self, y: int) -> C: self.x >>= y return self def __iand__(self, y: int) -> C: self.x &= y return self def __ior__(self, y: int) -> C: self.x |= y return self def __ixor__(self, y: int) -> C: self.x ^= y return self def __imatmul__(self, y: int) -> C: self.x += y + 5 return self def __ipow__(self, y: int, __mod_throwaway: None = None) -> C: self.x **= y return self def test_generic_1() -> None: c: Any = C() c += 3 assert c.x == 8 c -= 5 assert c.x == 3 c *= 3 assert c.x == 9 c %= 4 assert c.x == 1 c /= 5 assert c.x == 16 c //= 4 assert c.x == 40 c **= 2 assert c.x == 1600 def test_generic_2() -> None: c: Any = C() c <<= 4 assert c.x == 80 c >>= 3 assert c.x == 10 c &= 3 assert c.x == 2 c |= 6 assert c.x == 6 c ^= 12 assert c.x == 10 c @= 3 assert c.x == 18 def test_native() -> None: c = C() c += 3 assert c.x == 8 c -= 5 assert c.x == 3 c *= 3 assert c.x == 9 c **= 2 assert c.x == 81 def test_error() -> None: c: Any = C() with assertRaises(TypeError, "int object expected; got str"): c += 'x' class BadInplaceAdd: def __init__(self) -> None: self.x = 0 def __iadd__(self, x: int) -> Any: self.x += x def test_in_place_operator_returns_none() -> None: o = BadInplaceAdd() with assertRaises(TypeError, "native.BadInplaceAdd object expected; got None"): o += 5 [case testDunderMinMax] class SomeItem: def __init__(self, val: int) -> None: self.val = val def __lt__(self, x: 'SomeItem') -> bool: return self.val < x.val def __gt__(self, x: 'SomeItem') -> bool: return self.val > x.val class AnotherItem: def __init__(self, val: str) -> None: self.val = val def __lt__(self, x: 'AnotherItem') -> bool: return True def __gt__(self, x: 'AnotherItem') -> bool: return True def test_dunder_min() -> None: x = SomeItem(5) y = SomeItem(10) z = SomeItem(15) assert min(x, y).val == 5 assert min(y, z).val == 10 assert max(x, y).val == 10 assert max(y, z).val == 15 x2 = AnotherItem('xxx') y2 = AnotherItem('yyy') z2 = AnotherItem('zzz') assert min(x2, y2).val == 'yyy' assert min(y2, x2).val == 'xxx' assert max(x2, y2).val == 'yyy' assert max(y2, x2).val == 'xxx' assert min(y2, z2).val == 'zzz' assert max(x2, z2).val == 'zzz' [case testDundersPowerSpecial] import sys from typing import Any, Optional from testutil import assertRaises class Forward: def __pow__(self, exp: int, mod: Optional[int] = None) -> int: if mod is None: return 2**exp else: return 2**exp % mod class ForwardModRequired: def __pow__(self, exp: int, mod: int) -> int: return 2**exp % mod class ForwardNotImplemented: def __pow__(self, exp: int, mod: Optional[object] = None) -> Any: return NotImplemented class Reverse: def __rpow__(self, exp: int) -> int: return 2**exp + 1 class Both: def __pow__(self, exp: int, mod: Optional[int] = None) -> int: if mod is None: return 2**exp else: return 2**exp % mod def __rpow__(self, exp: int) -> int: return 2**exp + 1 class Child(ForwardNotImplemented): def __rpow__(self, exp: object) -> int: return 50 class Inplace: value = 2 def __ipow__(self, exp: int, mod: Optional[int] = None) -> "Inplace": self.value **= exp - (mod or 0) return self def test_native() -> None: f = Forward() assert f**3 == 8 assert pow(f, 3) == 8 assert pow(f, 3, 3) == 2 assert pow(ForwardModRequired(), 3, 3) == 2 b = Both() assert b**3 == 8 assert 3**b == 9 assert pow(b, 3) == 8 assert pow(b, 3, 3) == 2 i = Inplace() i **= 2 assert i.value == 4 def test_errors() -> None: if sys.version_info[0] >= 3 and sys.version_info[1] >= 10: op = "** or pow()" else: op = "pow()" f = Forward() with assertRaises(TypeError, f"unsupported operand type(s) for {op}: 'Forward', 'int', 'str'"): pow(f, 3, "x") # type: ignore with assertRaises(TypeError, "unsupported operand type(s) for **: 'Forward' and 'str'"): f**"x" # type: ignore r = Reverse() with assertRaises(TypeError, "unsupported operand type(s) for ** or pow(): 'str' and 'Reverse'"): "x"**r # type: ignore with assertRaises(TypeError, f"unsupported operand type(s) for {op}: 'int', 'Reverse', 'int'"): # Ternary pow() does not fallback to __rpow__ if LHS's __pow__ returns NotImplemented. pow(3, r, 3) # type: ignore with assertRaises(TypeError, f"unsupported operand type(s) for {op}: 'ForwardNotImplemented', 'Child', 'int'"): # Ternary pow() does not try RHS's __rpow__ first when it's a subclass and redefines # __rpow__ unlike other ops. pow(ForwardNotImplemented(), Child(), 3) # type: ignore with assertRaises(TypeError, "unsupported operand type(s) for ** or pow(): 'ForwardModRequired' and 'int'"): ForwardModRequired()**3 # type: ignore [case testDundersWithFinal] from typing import final class A: def __init__(self, x: int) -> None: self.x = x def __add__(self, y: int) -> int: return self.x + y def __lt__(self, x: 'A') -> bool: return self.x < x.x @final class B(A): def __add__(self, y: int) -> int: return self.x + y + 1 def __lt__(self, x: 'A') -> bool: return self.x < x.x + 1 def test_final() -> None: a = A(5) b = B(5) assert a + 3 == 8 assert b + 3 == 9 assert (a < A(5)) is False assert (b < A(5)) is True [case testDundersEq] class Eq: def __init__(self, x: int) -> None: self.x = x def __eq__(self, other: object) -> bool: if not isinstance(other, Eq): return NotImplemented return self.x == other.x def eq(x: Eq, y: Eq) -> bool: return x == y def ne(x: Eq, y: Eq) -> bool: return x != y def test_equality_with_implicit_ne() -> None: assert eq(Eq(1), Eq(1)) assert not eq(Eq(1), Eq(2)) assert ne(Eq(1), Eq(2)) assert not ne(Eq(1), Eq(1)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-exceptions.test0000644000175100017510000002313115112307767021172 0ustar00runnerrunner# Test cases for exceptions (compile and run) [case testException] from typing import List def f(x: List[int]) -> None: g(x) def g(x: List[int]) -> bool: x[5] = 2 return True def r1() -> None: q1() def q1() -> None: raise Exception("test") def r2() -> None: q2() def q2() -> None: raise Exception class A: def __init__(self) -> None: raise Exception def hey() -> None: A() [file driver.py] from native import f, r1, r2, hey import traceback try: f([]) except IndexError: traceback.print_exc() try: r1() except Exception: traceback.print_exc() try: r2() except Exception: traceback.print_exc() try: hey() except Exception: traceback.print_exc() [out] Traceback (most recent call last): File "driver.py", line 4, in f([]) File "native.py", line 3, in f g(x) File "native.py", line 6, in g x[5] = 2 IndexError: list assignment index out of range Traceback (most recent call last): File "driver.py", line 8, in r1() File "native.py", line 10, in r1 q1() File "native.py", line 13, in q1 raise Exception("test") Exception: test Traceback (most recent call last): File "driver.py", line 12, in r2() File "native.py", line 16, in r2 q2() File "native.py", line 19, in q2 raise Exception Exception Traceback (most recent call last): File "driver.py", line 16, in hey() File "native.py", line 26, in hey A() File "native.py", line 23, in __init__ raise Exception Exception [out version>=3.13] Traceback (most recent call last): File "driver.py", line 4, in f([]) ~^^^^ File "native.py", line 3, in f g(x) File "native.py", line 6, in g x[5] = 2 IndexError: list assignment index out of range Traceback (most recent call last): File "driver.py", line 8, in r1() ~~^^ File "native.py", line 10, in r1 q1() File "native.py", line 13, in q1 raise Exception("test") Exception: test Traceback (most recent call last): File "driver.py", line 12, in r2() ~~^^ File "native.py", line 16, in r2 q2() File "native.py", line 19, in q2 raise Exception Exception Traceback (most recent call last): File "driver.py", line 16, in hey() ~~~^^ File "native.py", line 26, in hey A() File "native.py", line 23, in __init__ raise Exception Exception [case testTryExcept] from typing import Any, Iterator import wrapsys def g(b: bool) -> None: try: if b: x = [0] x[1] else: raise Exception('hi') except: print("caught!") def r(x: int) -> None: if x == 0: [0][1] elif x == 1: raise Exception('hi') elif x == 2: {1: 1}[0] elif x == 3: a = object() # type: Any a.lol def f(b: bool) -> None: try: r(int(b)) except AttributeError: print('no') except: print(str(wrapsys.exc_info()[1])) print(str(wrapsys.exc_info()[1])) def h() -> None: while True: try: raise Exception('gonna break') except: print(str(wrapsys.exc_info()[1])) break print(str(wrapsys.exc_info()[1])) def i() -> None: try: r(0) except: print(type(wrapsys.exc_info()[1])) raise def j(n: int) -> None: try: r(n) except (IndexError, KeyError): print("lookup!") except AttributeError as e: print("attr! --", e) def k() -> None: try: r(1) except: r(0) def l() -> None: try: r(0) except IndexError: try: r(2) except KeyError as e: print("key! --", e) def m(x: object) -> int: try: st = id(x) except Exception: return -1 return st + 1 def iter_exception() -> Iterator[str]: try: r(0) except KeyError as e: yield 'lol' [file wrapsys.py] # This is a gross hack around some limitations of the test system/mypyc. from typing import Any import sys def exc_info() -> Any: return sys.exc_info() # type: ignore [file driver.py] import sys, traceback from native import g, f, h, i, j, k, l, m, iter_exception from testutil import assertRaises print("== i ==") try: i() except: traceback.print_exc(file=sys.stdout) print("== k ==") try: k() except: traceback.print_exc(file=sys.stdout) print("== g ==") g(True) g(False) print("== f ==") f(True) f(False) print("== h ==") h() print("== j ==") j(0) j(2) j(3) try: j(1) except: print("out!") print("== l ==") l() m('lol') with assertRaises(IndexError): list(iter_exception()) [out] == i == Traceback (most recent call last): File "driver.py", line 6, in i() File "native.py", line 44, in i r(0) File "native.py", line 15, in r [0][1] IndexError: list index out of range == k == Traceback (most recent call last): File "native.py", line 59, in k r(1) File "native.py", line 17, in r raise Exception('hi') Exception: hi During handling of the above exception, another exception occurred: Traceback (most recent call last): File "driver.py", line 12, in k() File "native.py", line 61, in k r(0) File "native.py", line 15, in r [0][1] IndexError: list index out of range == g == caught! caught! == f == hi None list index out of range None == h == gonna break None == j == lookup! lookup! attr! -- 'object' object has no attribute 'lol' out! == l == key! -- 0 [out version>=3.13] == i == Traceback (most recent call last): File "driver.py", line 6, in i() ~^^ File "native.py", line 44, in i r(0) File "native.py", line 15, in r [0][1] IndexError: list index out of range == k == Traceback (most recent call last): File "native.py", line 59, in k r(1) File "native.py", line 17, in r raise Exception('hi') Exception: hi During handling of the above exception, another exception occurred: Traceback (most recent call last): File "driver.py", line 12, in k() ~^^ File "native.py", line 61, in k r(0) File "native.py", line 15, in r [0][1] IndexError: list index out of range == g == caught! caught! == f == hi None list index out of range None == h == gonna break None == j == lookup! lookup! attr! -- 'object' object has no attribute 'lol' out! == l == key! -- 0 [case testTryFinally] from typing import Any import wrapsys def a(b1: bool, b2: int) -> None: try: if b1: raise Exception('hi') finally: print('finally:', str(wrapsys.exc_info()[1])) if b2 == 2: return if b2 == 1: raise Exception('again!') def b(b1: int, b2: int) -> str: try: if b1 == 1: raise Exception('hi') elif b1 == 2: [0][1] elif b1 == 3: return 'try' except IndexError: print('except') finally: print('finally:', str(wrapsys.exc_info()[1])) if b2 == 2: return 'finally' if b2 == 1: raise Exception('again!') return 'outer' def c() -> str: try: try: return 'wee' finally: print("out a") finally: print("out b") [file wrapsys.py] # This is a gross hack around some limitations of the test system/mypyc. from typing import Any import sys def exc_info() -> Any: return sys.exc_info() # type: ignore [file driver.py] import traceback import sys from native import a, b, c def run(f): try: x = f() if x: print("returned:", x) except Exception as e: print("caught:", type(e).__name__ + ": " + str(e)) print("== a ==") for i in range(3): for b1 in [False, True]: run(lambda: a(b1, i)) print("== b ==") for i in range(4): for j in range(3): run(lambda: b(i, j)) print("== b ==") print(c()) [out] == a == finally: None finally: hi caught: Exception: hi finally: None caught: Exception: again! finally: hi caught: Exception: again! finally: None finally: hi == b == finally: None returned: outer finally: None caught: Exception: again! finally: None returned: finally finally: hi caught: Exception: hi finally: hi caught: Exception: again! finally: hi returned: finally except finally: None returned: outer except finally: None caught: Exception: again! except finally: None returned: finally finally: None returned: try finally: None caught: Exception: again! finally: None returned: finally == b == out a out b wee [case testCustomException] from typing import List class ListOutOfBounds(IndexError): pass class UserListWarning(UserWarning): pass def f(l: List[int], k: int) -> int: try: return l[k] except IndexError: raise ListOutOfBounds("Ruh-roh from f!") def g(l: List[int], k: int) -> int: try: return f([1,2,3], 3) except ListOutOfBounds: raise ListOutOfBounds("Ruh-roh from g!") def k(l: List[int], k: int) -> int: try: return g([1,2,3], 3) except IndexError: raise UserListWarning("Ruh-roh from k!") def h() -> int: try: return k([1,2,3], 3) except UserWarning: return -1 [file driver.py] from native import h assert h() == -1 [case testExceptionAtModuleTopLevel] from typing import Any def f(x: int) -> None: pass y: Any = '' f(y) [file driver.py] import traceback try: import native except TypeError: traceback.print_exc() else: assert False [out] Traceback (most recent call last): File "driver.py", line 3, in import native File "native.py", line 6, in f(y) TypeError: int object expected; got str ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-floats.test0000644000175100017510000003367415112307767020316 0ustar00runnerrunner# Test cases for floats (compile and run) [case testFloatOps] from __future__ import annotations from typing import Final, Any, cast from testutil import assertRaises, float_vals, FLOAT_MAGIC import math def test_arithmetic() -> None: zero = float(0.0) one = zero + 1.0 x = one + one / 2.0 assert x == 1.5 assert x - one == 0.5 assert x * x == 2.25 assert x / 2.0 == 0.75 assert x * (-0.5) == -0.75 assert -x == -1.5 for x in float_vals: assert repr(-x) == repr(getattr(x, "__neg__")()) for y in float_vals: assert repr(x + y) == repr(getattr(x, "__add__")(y)) assert repr(x - y) == repr(getattr(x, "__sub__")(y)) assert repr(x * y) == repr(getattr(x, "__mul__")(y)) if y != 0: assert repr(x / y) == repr(getattr(x, "__truediv__")(y)) def test_mod() -> None: zero = float(0.0) one = zero + 1.0 x = one + one / 2.0 assert x % 0.4 == 0.29999999999999993 assert (-x) % 0.4 == 0.10000000000000009 assert x % -0.4 == -0.10000000000000009 assert (-x) % -0.4 == -0.29999999999999993 for x in float_vals: for y in float_vals: if y != 0: assert repr(x % y) == repr(getattr(x, "__mod__")(y)) def test_floor_div() -> None: for x in float_vals: for y in float_vals: if y != 0: assert repr(x // y) == repr(getattr(x, "__floordiv__")(y)) else: with assertRaises(ZeroDivisionError, "float floor division by zero"): x // y def test_mixed_arithmetic() -> None: zf = float(0.0) zn = int() assert (zf + 5.5) + (zn + 1) == 6.5 assert (zn - 2) - (zf - 5.5) == 3.5 x = zf + 3.4 x += zn + 2 assert x == 5.4 def test_arithmetic_errors() -> None: zero = float(0.0) one = zero + 1.0 with assertRaises(ZeroDivisionError, "float division by zero"): print(one / zero) with assertRaises(ZeroDivisionError, "float modulo"): print(one % zero) def test_comparisons() -> None: zero = float(0.0) one = zero + 1.0 x = one + one / 2.0 assert x < (1.51 + zero) assert not (x < (1.49 + zero)) assert x > (1.49 + zero) assert not (x > (1.51 + zero)) assert x <= (1.5 + zero) assert not (x <= (1.49 + zero)) assert x >= (1.5 + zero) assert not (x >= (1.51 + zero)) for x in float_vals: for y in float_vals: assert (x <= y) == getattr(x, "__le__")(y) assert (x < y) == getattr(x, "__lt__")(y) assert (x >= y) == getattr(x, "__ge__")(y) assert (x > y) == getattr(x, "__gt__")(y) assert (x == y) == getattr(x, "__eq__")(y) assert (x != y) == getattr(x, "__ne__")(y) def test_mixed_comparisons() -> None: zf = float(0.0) zn = int() if (zf + 1.0) == (zn + 1): assert True else: assert False if (zf + 1.1) == (zn + 1): assert False else: assert True assert (zf + 1.1) != (zn + 1) assert (zf + 1.1) > (zn + 1) assert not (zf + 0.9) > (zn + 1) assert (zn + 1) < (zf + 1.1) def test_boxing_and_unboxing() -> None: x = 1.5 boxed: Any = x assert repr(boxed) == "1.5" assert type(boxed) is float y: float = boxed assert y == x boxed_int: Any = 5 assert [type(boxed_int)] == [int] # Avoid mypy type narrowing z: float = boxed_int assert z == 5.0 for xx in float_vals: bb: Any = xx yy: float = bb assert repr(xx) == repr(bb) assert repr(xx) == repr(yy) for b in True, False: boxed_bool: Any = b assert type(boxed_bool) is bool zz: float = boxed_bool assert zz == int(b) def test_unboxing_failure() -> None: boxed: Any = '1.5' with assertRaises(TypeError): x: float = boxed def identity(x: float) -> float: return x def test_coerce_from_int_literal() -> None: assert identity(34) == 34.0 assert identity(-1) == -1.0 def test_coerce_from_short_tagged_int() -> None: n = int() - 17 assert identity(n) == -17.0 for i in range(-300, 300): assert identity(i) == float(i) def test_coerce_from_long_tagged_int() -> None: n = int() + 2**100 x = identity(n) assert repr(x) == '1.2676506002282294e+30' n = int() - 2**100 y = identity(n) assert repr(y) == '-1.2676506002282294e+30' def test_coerce_from_very_long_tagged_int() -> None: n = int() + 10**1000 with assertRaises(OverflowError, "int too large to convert to float"): identity(n) with assertRaises(OverflowError, "int too large to convert to float"): identity(int(n)) n = int() - 10**1000 with assertRaises(OverflowError, "int too large to convert to float"): identity(n) with assertRaises(OverflowError, "int too large to convert to float"): identity(int(n)) def test_explicit_conversion_from_int() -> None: float_any: Any = float a = [0, 1, 2, 3, -1, -2, 13257, -928745] for n in range(1, 100): for delta in -1, 0, 1, 2342345: a.append(2**n + delta) a.append(-2**n + delta) for x in a: assert repr(float(x)) == repr(float_any(x)) def test_explicit_conversion_to_int() -> None: int_any: Any = int for x in float_vals: if math.isinf(x): with assertRaises(OverflowError, "cannot convert float infinity to integer"): int(x) elif math.isnan(x): with assertRaises(ValueError, "cannot convert float NaN to integer"): int(x) else: assert repr(int(x)) == repr(int_any(x)) # Test some edge cases assert 2**30 == int(2.0**30 + int()) assert 2**30 - 1 == int(1073741823.9999999 + int()) # math.nextafter(2.0**30, 0)) assert -2**30 - 1 == int(-2.0**30 - 1 + int()) assert -2**30 == int(-1073741824.9999998 + int()) # math.nextafter(-2.0**30 - 1, 0) assert 2**62 == int(2.0**62 + int()) assert 2**62 == int(2.0**62 - 1 + int()) assert -2**62 == int(-2.0**62 + int()) assert -2**62 == int(-2.0**62 - 1 + int()) def str_to_float(x: str) -> float: return float(x) def test_str_to_float() -> None: assert str_to_float("1") == 1.0 assert str_to_float("1.234567") == 1.234567 assert str_to_float("44324") == 44324.0 assert str_to_float("23.4") == 23.4 assert str_to_float("-43.44e-4") == -43.44e-4 assert str_to_float("-43.44e-4") == -43.44e-4 assert math.isinf(str_to_float("inf")) assert math.isinf(str_to_float("-inf")) assert str_to_float("inf") > 0.0 assert str_to_float("-inf") < 0.0 assert math.isnan(str_to_float("nan")) assert math.isnan(str_to_float("NaN")) assert repr(str_to_float("-0.0")) == "-0.0" def test_abs() -> None: assert abs(0.0) == 0.0 assert abs(-1.234567) == 1.234567 assert abs(44324.732) == 44324.732 assert abs(-23.4) == 23.4 assert abs(-43.44e-4) == 43.44e-4 abs_any: Any = abs for x in float_vals: assert repr(abs(x)) == repr(abs_any(x)) def test_float_min_max() -> None: for x in float_vals: for y in float_vals: min_any: Any = min assert repr(min(x, y)) == repr(min_any(x, y)) max_any: Any = max assert repr(max(x, y)) == repr(max_any(x, y)) def default(x: float = 2) -> float: return x + 1 def test_float_default_value() -> None: assert default(1.2) == 2.2 for i in range(-200, 200): assert default(float(i)) == i + 1 assert default() == 3.0 def test_float_default_value_wrapper() -> None: f: Any = default assert f(1.2) == 2.2 for i in range(-200, 200): assert f(float(i)) == i + 1 assert f() == 3.0 class C: def __init__(self, x: float) -> None: self.x = x def test_float_attr() -> None: for i in range(-200, 200): f = float(i) c = C(f) assert c.x == f a: Any = c assert a.x == f c.x = FLOAT_MAGIC assert c.x == FLOAT_MAGIC assert a.x == FLOAT_MAGIC a.x = 1.0 assert a.x == 1.0 a.x = FLOAT_MAGIC assert a.x == FLOAT_MAGIC class D: def __init__(self, x: float) -> None: if x: self.x = x def test_float_attr_maybe_undefned() -> None: for i in range(-200, 200): if i == 0: d = D(0.0) with assertRaises(AttributeError): d.x a: Any = d with assertRaises(AttributeError): a.x d.x = FLOAT_MAGIC assert d.x == FLOAT_MAGIC assert a.x == FLOAT_MAGIC d.x = 0.0 assert d.x == 0.0 assert a.x == 0.0 a.x = FLOAT_MAGIC assert a.x == FLOAT_MAGIC d = D(0.0) a = cast(Any, d) a.x = FLOAT_MAGIC assert d.x == FLOAT_MAGIC else: f = float(i) d = D(f) assert d.x == f a2: Any = d assert a2.x == f def f(x: float) -> float: return x + 1 def test_return_values() -> None: a: Any = f for i in range(-200, 200): x = float(i) assert f(x) == x + 1 assert a(x) == x + 1 for x in float_vals: if not math.isnan(x): assert f(x) == x + 1 else: assert math.isnan(f(x)) def exc() -> float: raise IndexError('x') def test_exception() -> None: with assertRaises(IndexError): exc() a: Any = exc with assertRaises(IndexError): a() def test_undefined_local_var() -> None: if not int(): x = -113.0 assert x == -113.0 if int(): y = -113.0 with assertRaises(UnboundLocalError, 'local variable "y" referenced before assignment'): print(y) if not int(): x2 = -1.0 assert x2 == -1.0 if int(): y2 = -1.0 with assertRaises(UnboundLocalError, 'local variable "y2" referenced before assignment'): print(y2) def test_tuples() -> None: t1: tuple[float, float] = (1.5, 2.5) assert t1 == tuple([1.5, 2.5]) n = int() + 5 t2: tuple[float, float, float, float] = (n, 1.5, -7, -113) assert t2 == tuple([5.0, 1.5, -7.0, -113.0]) [case testFloatGlueMethodsAndInheritance] from typing import Final, Any from mypy_extensions import trait from testutil import assertRaises MAGIC: Final = -113.0 class Base: def foo(self) -> float: return 5.0 def bar(self, x: float = 2.0) -> float: return x + 1 def hoho(self, x: float) -> float: return x - 1 class Derived(Base): def foo(self, x: float = 5.0) -> float: return x + 10 def bar(self, x: float = 3, y: float = 20) -> float: return x + y + 2 def hoho(self, x: float = 7) -> float: return x - 2 def test_derived_adds_bitmap() -> None: b: Base = Derived() assert b.foo() == 15 def test_derived_adds_another_default_arg() -> None: b: Base = Derived() assert b.bar() == 25 assert b.bar(1) == 23 assert b.bar(MAGIC) == MAGIC + 22 def test_derived_switches_arg_to_have_default() -> None: b: Base = Derived() assert b.hoho(5) == 3 assert b.hoho(MAGIC) == MAGIC - 2 @trait class T: @property def x(self) -> float: ... @property def y(self) -> float: ... class C(T): x: float = 1.0 y: float = 4 def test_read_only_property_in_trait_implemented_as_attribute() -> None: c = C() c.x = 5.5 assert c.x == 5.5 c.x = MAGIC assert c.x == MAGIC assert c.y == 4 c.y = 6.5 assert c.y == 6.5 t: T = C() assert t.y == 4 t = c assert t.x == MAGIC c.x = 55.5 assert t.x == 55.5 assert t.y == 6.5 a: Any = c assert a.x == 55.5 assert a.y == 6.5 a.x = 7.0 a.y = 8.0 assert a.x == 7 assert a.y == 8 class D(T): xx: float @property def x(self) -> float: return self.xx @property def y(self) -> float: raise TypeError def test_read_only_property_in_trait_implemented_as_property() -> None: d = D() d.xx = 5.0 assert d.x == 5 d.xx = MAGIC assert d.x == MAGIC with assertRaises(TypeError): d.y t: T = d assert t.x == MAGIC d.xx = 6.0 assert t.x == 6 with assertRaises(TypeError): t.y @trait class T2: x: float y: float class C2(T2): pass def test_inherit_trait_attribute() -> None: c = C2() c.x = 5.0 assert c.x == 5 c.x = MAGIC assert c.x == MAGIC with assertRaises(AttributeError): c.y c.y = 6.0 assert c.y == 6.0 t: T2 = C2() with assertRaises(AttributeError): t.y t = c assert t.x == MAGIC c.x = 55.0 assert t.x == 55 assert t.y == 6 a: Any = c assert a.x == 55 assert a.y == 6 a.x = 7.0 a.y = 8.0 assert a.x == 7 assert a.y == 8 class D2(T2): x: float y: float = 4 def test_implement_trait_attribute() -> None: d = D2() d.x = 5.0 assert d.x == 5 d.x = MAGIC assert d.x == MAGIC assert d.y == 4 d.y = 6.0 assert d.y == 6 t: T2 = D2() assert t.y == 4 t = d assert t.x == MAGIC d.x = 55.0 assert t.x == 55 assert t.y == 6 a: Any = d assert a.x == 55 assert a.y == 6 a.x = 7.0 a.y = 8.0 assert a.x == 7 assert a.y == 8 [case testIsInstance] from copysubclass import subc from testutil import float_vals from typing import Any def test_built_in() -> None: for f in float_vals: assert isinstance(float(0) + f, float) assert isinstance(subc(f), float) assert not isinstance(set(), float) assert not isinstance((), float) assert not isinstance((1.0, 2.0), float) assert not isinstance({3.14}, float) assert not isinstance(int() + 1, float) assert not isinstance(str() + '4.2', float) def test_user_defined() -> None: from userdefinedfloat import float f: Any = 3.14 assert isinstance(float(), float) assert not isinstance(f, float) [file copysubclass.py] class subc(float): pass [file userdefinedfloat.py] class float: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-functions.test0000644000175100017510000007677115112307767021043 0ustar00runnerrunner# Test cases for functions and calls (compile and run) [case testCallTrivialFunction] def f(x: int) -> int: return x [file driver.py] from native import f print(f(3)) print(f(-157)) print(f(10**20)) print(f(-10**20)) [out] 3 -157 100000000000000000000 -100000000000000000000 [case testRecursiveFibonacci] def fib(n: int) -> int: if n <= 1: return 1 else: return fib(n - 1) + fib(n - 2) [file driver.py] from native import fib print(fib(0)) print(fib(1)) print(fib(2)) print(fib(6)) [out] 1 1 2 13 [case testNestedFunctions] from typing import Callable, List def a() -> Callable[[], object]: def inner() -> object: return None return inner def b() -> Callable[[], Callable[[], str]]: def first() -> Callable[[], str]: def second() -> str: return 'b.first.second: nested function' return second return first def c(num: float) -> Callable[[str], str]: def inner(s: str) -> str: return s + '!' return inner def d(num: float) -> str: def inner(s: str) -> str: return s + '?' a = inner('one') b = inner('two') return a def e() -> int: return 0 def f() -> int: def inner() -> int: return e() return inner() def g() -> Callable[[], Callable[[], int]]: def inner() -> Callable[[], int]: return e return inner def h(num: int) -> int: def inner() -> int: return num return inner() def i() -> int: num = 3 def inner() -> int: return num return inner() def j(num: int) -> int: x = 1 y = 2 def inner() -> int: nonlocal x x = 3 return num + x + y return inner() def k() -> int: num = 3 def inner() -> int: nonlocal num num = 5 return num return inner() + num def l() -> int: num = 3 def inner() -> int: num = 5 return num return inner() + num def m() -> Callable[[], int]: num = 1 def inner() -> int: num += 1 return num num += 1 return inner def n() -> int: x = 1 def add_one() -> None: x += 1 def add_two() -> None: x += 2 add_one() add_two() return x def triple(a: int) -> Callable[[], Callable[[int], int]]: x = 1 def outer() -> Callable[[int], int]: nonlocal x x += 1 x += a a += 1 def inner(b: int) -> int: x += b return x return inner return outer def if_else(flag: int) -> str: def dummy_function() -> str: return 'if_else.dummy_function' if flag < 0: def inner() -> str: return 'if_else.inner: first definition' elif flag > 0: def inner() -> str: return 'if_else.inner: second definition' else: def inner() -> str: return 'if_else.inner: third definition' return inner() def for_loop() -> int: def dummy_function() -> str: return 'for_loop.dummy_function' for i in range(5): def inner(i: int) -> int: return i if i == 3: return inner(i) return 0 def while_loop() -> int: def dummy_function() -> str: return 'while_loop.dummy_function' i = 0 while i < 5: def inner(i: int) -> int: return i if i == 3: return inner(i) i += 1 return 0 def free_vars(foo: int, bar: int) -> int: x = 1 y = 2 def g(): # type: ignore # missing type annotation for testing nonlocal y y = 3 nonlocal bar bar += y z = 3 g() return bar def lambdas(x: int, y: int) -> int: s = lambda a, b: a + b + x + y return s(1, 2) def outer() -> str: return 'outer: normal function' def inner() -> str: return 'inner: normal function' class A: def __init__(self, x: int) -> None: self.x = x def outer(self, num: int) -> int: y = 5 def inner() -> int: return self.x + y + num return inner() def o() -> int: a = [0, 0] b = 0 def b_incr() -> List[int]: b += 10 return a c = 0 def c_incr() -> int: c += 1 return c # x = 1, y = 1 x = y = c_incr() # a = [2, 2], b = 20 b_incr()[0] = b_incr()[1] = c_incr() # Should return 26. return x + y + a[0] + a[1] + b global_upvar = 20 toplevel_lambda = lambda x: 10 + global_upvar + x [file driver.py] from native import ( a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, triple, if_else, for_loop, while_loop, free_vars, lambdas, outer, inner, A, toplevel_lambda ) assert a()() == None assert b()()() == 'b.first.second: nested function' assert c(5.0)('c') == 'c!' assert d(4.0) == 'one?' assert e() == 0 assert f() == 0 assert g()()() == 0 assert h(3) == 3 assert i() == 3 assert j(3) == 8 assert k() == 10 assert l() == 8 assert m()() == 3 assert n() == 4 assert o() == 26 triple_outer = triple(2) triple_inner = triple_outer() assert triple_inner(4) == 8 assert triple_inner(4) == 12 assert triple_outer()(4) == 20 assert if_else(-1) == 'if_else.inner: first definition' assert if_else(1) == 'if_else.inner: second definition' assert if_else(0) == 'if_else.inner: third definition' assert for_loop() == 3 assert while_loop() == 3 assert free_vars(1, 2) == 5 assert lambdas(3, 4) == 10 assert outer() == 'outer: normal function' assert inner() == 'inner: normal function' assert A(3).outer(4) == 12 assert toplevel_lambda(5) == 35 [case testNestedFunctions2] from typing import Callable def outer() -> Callable[[], object]: def inner() -> object: return None return inner def first() -> Callable[[], Callable[[], str]]: def second() -> Callable[[], str]: def third() -> str: return 'third: nested function' return third return second def f1() -> int: x = 1 def f2() -> int: y = 2 def f3() -> int: z = 3 return y return f3() return f2() def outer_func() -> int: def inner_func() -> int: return x x = 1 return inner_func() def mutual_recursion(start : int) -> int: def f1(k : int) -> int: if k <= 0: return 0 k -= 1 return f2(k) def f2(k : int) -> int: if k <= 0: return 0 k -= 1 return f1(k) return f1(start) def topLayer() -> int: def middleLayer() -> int: def bottomLayer() -> int: return x return bottomLayer() x = 1 return middleLayer() def nest1() -> str: def nest2() -> str: def nest3() -> str: def mut1(val: int) -> str: if val <= 0: return "bottomed" val -= 1 return mut2(val) def mut2(val: int) -> str: if val <= 0: return "bottomed" val -= 1 return mut1(val) return mut1(start) return nest3() start = 3 return nest2() def uno(num: float) -> Callable[[str], str]: def dos(s: str) -> str: return s + '!' return dos def eins(num: float) -> str: def zwei(s: str) -> str: return s + '?' a = zwei('eins') b = zwei('zwei') return a def call_other_inner_func(a: int) -> int: def foo() -> int: return a + 1 def bar() -> int: return foo() def baz(n: int) -> int: if n == 0: return 0 return n + baz(n - 1) return bar() + baz(a) def inner() -> str: return 'inner: normal function' def second() -> str: return 'second: normal function' def third() -> str: return 'third: normal function' [file driver.py] from native import (outer, inner, first, uno, eins, call_other_inner_func, second, third, f1, outer_func, mutual_recursion, topLayer, nest1) assert outer()() == None assert inner() == 'inner: normal function' assert first()()() == 'third: nested function' assert uno(5.0)('uno') == 'uno!' assert eins(4.0) == 'eins?' assert call_other_inner_func(5) == 21 assert second() == 'second: normal function' assert third() == 'third: normal function' assert f1() == 2 assert outer_func() == 1 assert mutual_recursion(5) == 0 assert topLayer() == 1 assert nest1() == "bottomed" [case testFunctionCallWithDefaultArgs] from typing import Tuple, List, Optional, Callable, Any def f(x: int, y: int = 3, s: str = "test", z: object = 5) -> Tuple[int, str]: def inner() -> int: return x + y return inner(), s def g() -> None: assert f(2) == (5, "test") assert f(s = "123", x = -2) == (1, "123") def h(a: Optional[object] = None, b: Optional[str] = None) -> Tuple[object, Optional[str]]: return (a, b) def same(x: object = object()) -> object: return x a_lambda: Callable[..., Any] = lambda n=20: n def nested_funcs(n: int) -> List[Callable[..., Any]]: ls: List[Callable[..., Any]] = [] for i in range(n): def f(i: int = i) -> int: return i ls.append(f) return ls def bool_default(x: bool = False, y: bool = True) -> str: return str(x) + '-' + str(y) [file driver.py] from native import f, g, h, same, nested_funcs, a_lambda, bool_default g() assert f(2) == (5, "test") assert f(s = "123", x = -2) == (1, "123") assert h() == (None, None) assert h(10) == (10, None) assert h(b='a') == (None, 'a') assert h(10, 'a') == (10, 'a') assert same() == same() assert [f() for f in nested_funcs(10)] == list(range(10)) assert a_lambda(10) == 10 assert a_lambda() == 20 assert bool_default() == 'False-True' assert bool_default(True) == 'True-True' assert bool_default(True, False) == 'True-False' [case testMethodCallWithDefaultArgs] from typing import Tuple, List class A: def f(self, x: int, y: int = 3, s: str = "test") -> Tuple[int, str]: def inner() -> int: return x + y return inner(), s def g() -> None: a = A() assert a.f(2) == (5, "test") assert a.f(s = "123", x = -2) == (1, "123") [file driver.py] from native import A, g g() a = A() assert a.f(2) == (5, "test") assert a.f(s = "123", x = -2) == (1, "123") [case testMethodCallOrdering] class A: def __init__(self, s: str) -> None: print(s) def f(self, x: 'A', y: 'A') -> None: pass def g() -> None: A('A!').f(A('hello'), A('world')) [file driver.py] from native import g g() [out] A! hello world [case testPyMethodCall] from typing import List def f(x: List[int]) -> int: return x.pop() def g(x: List[int], y: List[int]) -> None: x.extend(y) [file driver.py] from native import f, g l = [1, 2] assert f(l) == 2 g(l, [10]) assert l == [1, 10] assert f(l) == 10 assert f(l) == 1 g(l, [11, 12]) assert l == [11, 12] [case testMethodCallWithKeywordArgs] from typing import Tuple import testmodule class A: def echo(self, a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c def test_native_method_call_with_kwargs() -> None: a = A() assert a.echo(1, c=3, b=2) == (1, 2, 3) assert a.echo(c = 3, a = 1, b = 2) == (1, 2, 3) def test_module_method_call_with_kwargs() -> None: a = testmodule.A() assert a.echo(1, c=3, b=2) == (1, 2, 3) assert a.echo(c = 3, a = 1, b = 2) == (1, 2, 3) [file testmodule.py] from typing import Tuple class A: def echo(self, a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c [file driver.py] import native native.test_native_method_call_with_kwargs() native.test_module_method_call_with_kwargs() [case testAnyCall] from typing import Any def call(f: Any) -> Any: return f(1, 'x') [file driver.py] from native import call def f(x, y): return (x, y) def g(x): pass assert call(f) == (1, 'x') for bad in g, 1: try: call(bad) except TypeError: pass else: assert False, bad [case testCallableTypes] from typing import Callable def absolute_value(x: int) -> int: return x if x > 0 else -x def call_native_function(x: int) -> int: return absolute_value(x) def call_python_function(x: int) -> int: return int(x) def return_float() -> float: return 5.0 def return_callable_type() -> Callable[[], float]: return return_float def call_callable_type() -> float: f = return_callable_type() return f() def return_passed_in_callable_type(f: Callable[[], float]) -> Callable[[], float]: return f def call_passed_in_callable_type(f: Callable[[], float]) -> float: return f() [file driver.py] from native import call_native_function, call_python_function, return_float, return_callable_type, call_callable_type, return_passed_in_callable_type, call_passed_in_callable_type a = call_native_function(1) b = call_python_function(1) c = return_callable_type() d = call_callable_type() e = return_passed_in_callable_type(return_float) f = call_passed_in_callable_type(return_float) assert a == 1 assert b == 1 assert c() == 5.0 assert d == 5.0 assert e() == 5.0 assert f == 5.0 [case testKeywordArgs] from typing import Tuple import testmodule def g(a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c def test_call_native_function_with_keyword_args() -> None: assert g(1, c = 3, b = 2) == (1, 2, 3) assert g(c = 3, a = 1, b = 2) == (1, 2, 3) def test_call_module_function_with_keyword_args() -> None: assert testmodule.g(1, c = 3, b = 2) == (1, 2, 3) assert testmodule.g(c = 3, a = 1, b = 2) == (1, 2, 3) def test_call_python_function_with_keyword_args() -> None: assert int("11", base=2) == 3 def test_call_lambda_function_with_keyword_args() -> None: g = testmodule.get_lambda_function() assert g(1, c = 3, b = 2) == (1, 2, 3) assert g(c = 3, a = 1, b = 2) == (1, 2, 3) [file testmodule.py] from typing import Tuple def g(a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c def get_lambda_function(): return (lambda a, b, c: (a, b, c)) [file driver.py] import native native.test_call_native_function_with_keyword_args() native.test_call_module_function_with_keyword_args() native.test_call_python_function_with_keyword_args() native.test_call_lambda_function_with_keyword_args() [case testStarArgs] from typing import Tuple def g(a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c def test_star_args() -> None: assert g(*[1, 2, 3]) == (1, 2, 3) assert g(*(1, 2, 3)) == (1, 2, 3) assert g(*(1,), *[2, 3]) == (1, 2, 3) assert g(*(), *(1,), *(), *(2,), *(3,), *()) == (1, 2, 3) assert g(*range(3)) == (0, 1, 2) [file driver.py] import native native.test_star_args() [case testStar2Args] from typing import Tuple def g(a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c def test_star2_args() -> None: assert g(**{'a': 1, 'b': 2, 'c': 3}) == (1, 2, 3) assert g(**{'c': 3, 'a': 1, 'b': 2}) == (1, 2, 3) assert g(b=2, **{'a': 1, 'c': 3}) == (1, 2, 3) def test_star2_args_bad(v: dict) -> bool: return g(a=1, b=2, **v) == (1, 2, 3) [file driver.py] import native native.test_star2_args() # this should raise TypeError due to duplicate kwarg, but currently it doesn't assert native.test_star2_args_bad({'b': 2, 'c': 3}) [case testStarAndStar2Args] from typing import Tuple def g(a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c class C: def g(self, a: int, b: int, c: int) -> Tuple[int, int, int]: return a, b, c def test_star_and_star2_args() -> None: assert g(1, *(2,), **{'c': 3}) == (1, 2, 3) assert g(*[1], **{'b': 2, 'c': 3}) == (1, 2, 3) c = C() assert c.g(1, *(2,), **{'c': 3}) == (1, 2, 3) assert c.g(*[1], **{'b': 2, 'c': 3}) == (1, 2, 3) [file driver.py] import native native.test_star_and_star2_args() [case testAllTheArgCombinations] from typing import Tuple def g(a: int, b: int, c: int, d: int = -1) -> Tuple[int, int, int, int]: return a, b, c, d class C: def g(self, a: int, b: int, c: int, d: int = -1) -> Tuple[int, int, int, int]: return a, b, c, d def test_all_the_arg_combinations() -> None: assert g(1, *(2,), **{'c': 3}) == (1, 2, 3, -1) assert g(*[1], **{'b': 2, 'c': 3, 'd': 4}) == (1, 2, 3, 4) c = C() assert c.g(1, *(2,), **{'c': 3}) == (1, 2, 3, -1) assert c.g(*[1], **{'b': 2, 'c': 3, 'd': 4}) == (1, 2, 3, 4) [file driver.py] import native native.test_all_the_arg_combinations() [case testOverloads] from typing import overload, Union, Tuple @overload def foo(x: int) -> int: ... @overload def foo(x: str) -> str: ... def foo(x: Union[int, str]) -> Union[int, str]: return x class A: @overload def foo(self, x: int) -> int: ... @overload def foo(self, x: str) -> str: ... def foo(self, x: Union[int, str]) -> Union[int, str]: return x def call1() -> Tuple[int, str]: return (foo(10), foo('10')) def call2() -> Tuple[int, str]: x = A() return (x.foo(10), x.foo('10')) [file driver.py] from native import * assert call1() == (10, '10') assert call2() == (10, '10') [case testDecorators1] from typing import Generator, Callable, Iterator from contextlib import contextmanager def a(f: Callable[[], None]) -> Callable[[], None]: def g() -> None: print('Entering') f() print('Exited') return g def b(f: Callable[[], None]) -> Callable[[], None]: def g() -> None: print('***') f() print('***') return g @contextmanager def foo() -> Iterator[int]: try: print('started') yield 0 finally: print('finished') @contextmanager def catch() -> Iterator[None]: try: print('started') yield except IndexError: print('index') raise except Exception: print('lol') def thing() -> None: c() @a @b def c() -> None: @a @b def d() -> None: print('d') print('c') d() def hm() -> None: x = [1] with catch(): x[2] [file driver.py] from native import foo, c, thing, hm with foo() as f: print('hello') c() thing() print('==') try: hm() except IndexError: pass else: assert False [out] started hello finished Entering *** c Entering *** d *** Exited *** Exited Entering *** c Entering *** d *** Exited *** Exited == started index [case testDecoratorsMethods] from typing import Any, Callable, Iterator, TypeVar from contextlib import contextmanager T = TypeVar('T') def dec(f: T) -> T: return f def a(f: Callable[[Any], None]) -> Callable[[Any], None]: def g(a: Any) -> None: print('Entering') f(a) print('Exited') return g class A: @a def foo(self) -> None: print('foo') @contextmanager def generator(self) -> Iterator[int]: try: print('contextmanager: entering') yield 0 finally: print('contextmanager: exited') class Lol: @staticmethod def foo() -> None: Lol.bar() Lol.baz() @staticmethod @dec def bar() -> None: pass @classmethod @dec def baz(cls) -> None: pass def inside() -> None: with A().generator() as g: print('hello!') with A().generator() as g: print('hello!') def lol() -> None: with A().generator() as g: raise Exception [file driver.py] from native import A, lol A.foo(A()) A().foo() with A().generator() as g: print('hello!') try: lol() except: pass else: assert False [out] contextmanager: entering hello! contextmanager: exited Entering foo Exited Entering foo Exited contextmanager: entering hello! contextmanager: exited contextmanager: entering contextmanager: exited [case testUnannotatedFunction] def g(x: int) -> int: return x * 2 def f(x): return g(x) [file driver.py] from native import f assert f(3) == 6 [case testUnannotatedModuleLevelInitFunction] # Ensure that adding an implicit `-> None` annotation only applies to `__init__` # _methods_ specifically (not module-level `__init__` functions). def __init__(): return 42 [file driver.py] from native import __init__ assert __init__() == 42 [case testDifferentArgCountsFromInterpreted] # Test various signatures from interpreted code. def noargs() -> int: return 5 def onearg(x: int) -> int: return x + 1 def twoargs(x: int, y: str) -> int: return x + len(y) def one_or_two(x: int, y: str = 'a') -> int: return x + len(y) [file driver.py] from native import noargs, onearg, twoargs, one_or_two from testutil import assertRaises assert noargs() == 5 t = () assert noargs(*t) == 5 d = {} assert noargs(**d) == 5 assert noargs(*t, **d) == 5 assert onearg(12) == 13 assert onearg(x=8) == 9 t = (1,) assert onearg(*t) == 2 d = {'x': 5} assert onearg(**d) == 6 # Test a bogus call to twoargs before any correct calls are made with assertRaises(TypeError, "twoargs() missing required argument 'x' (pos 1)"): twoargs() assert twoargs(5, 'foo') == 8 assert twoargs(4, y='foo') == 7 assert twoargs(y='foo', x=7) == 10 t = (1, 'xy') assert twoargs(*t) == 3 d = {'y': 'xy'} assert twoargs(2, **d) == 4 assert one_or_two(5) == 6 assert one_or_two(x=3) == 4 assert one_or_two(6, 'xy') == 8 assert one_or_two(7, y='xy') == 9 assert one_or_two(y='xy', x=2) == 4 assert one_or_two(*t) == 3 d = {'x': 5} assert one_or_two(**d) == 6 assert one_or_two(y='xx', **d) == 7 d = {'y': 'abc'} assert one_or_two(1, **d) == 4 with assertRaises(TypeError, 'noargs() takes at most 0 arguments (1 given)'): noargs(1) with assertRaises(TypeError, 'noargs() takes at most 0 keyword arguments (1 given)'): noargs(x=1) with assertRaises(TypeError, "onearg() missing required argument 'x' (pos 1)"): onearg() with assertRaises(TypeError, 'onearg() takes at most 1 argument (2 given)'): onearg(1, 2) with assertRaises(TypeError, "onearg() missing required argument 'x' (pos 1)"): onearg(y=1) with assertRaises(TypeError, "onearg() takes at most 1 argument (2 given)"): onearg(1, y=1) with assertRaises(TypeError, "twoargs() missing required argument 'x' (pos 1)"): twoargs() with assertRaises(TypeError, "twoargs() missing required argument 'y' (pos 2)"): twoargs(1) with assertRaises(TypeError, 'twoargs() takes at most 2 arguments (3 given)'): twoargs(1, 'x', 2) with assertRaises(TypeError, 'twoargs() takes at most 2 arguments (3 given)'): twoargs(1, 'x', y=2) with assertRaises(TypeError, "one_or_two() missing required argument 'x' (pos 1)"): one_or_two() with assertRaises(TypeError, 'one_or_two() takes at most 2 arguments (3 given)'): one_or_two(1, 'x', 2) with assertRaises(TypeError, 'one_or_two() takes at most 2 arguments (3 given)'): one_or_two(1, 'x', y=2) [case testComplicatedArgs] from typing import Tuple, Dict def kwonly1(x: int = 0, *, y: int) -> Tuple[int, int]: return x, y def kwonly2(*, x: int = 0, y: int) -> Tuple[int, int]: return x, y def kwonly3(a: int, b: int = 0, *, y: int, x: int = 1) -> Tuple[int, int, int, int]: return a, b, x, y def kwonly4(*, x: int, y: int) -> Tuple[int, int]: return x, y def varargs1(*args: int) -> Tuple[int, ...]: return args def varargs2(*args: int, **kwargs: int) -> Tuple[Tuple[int, ...], Dict[str, int]]: return args, kwargs def varargs3(**kwargs: int) -> Dict[str, int]: return kwargs def varargs4(a: int, b: int = 0, *args: int, y: int, x: int = 1, **kwargs: int) -> Tuple[Tuple[int, ...], Dict[str, int]]: return (a, b, *args), {'x': x, 'y': y, **kwargs} class A: def f(self, x: int) -> Tuple[int, ...]: return (x,) def g(self, x: int) -> Tuple[Tuple[int, ...], Dict[str, int]]: return (x,), {} class B(A): def f(self, *args: int) -> Tuple[int, ...]: return args def g(self, *args: int, **kwargs: int) -> Tuple[Tuple[int, ...], Dict[str, int]]: return args, kwargs [file other.py] # This file is imported in both compiled and interpreted mode in order to # test both native calls and calls via the C API. from native import ( kwonly1, kwonly2, kwonly3, kwonly4, varargs1, varargs2, varargs3, varargs4, A, B ) # kwonly arg tests assert kwonly1(10, y=20) == (10, 20) assert kwonly1(y=20) == (0, 20) assert kwonly2(x=10, y=20) == (10, 20) assert kwonly2(y=20) == (0, 20) assert kwonly3(10, y=20) == (10, 0, 1, 20) assert kwonly3(a=10, y=20) == (10, 0, 1, 20) assert kwonly3(10, 30, y=20) == (10, 30, 1, 20) assert kwonly3(10, b=30, y=20) == (10, 30, 1, 20) assert kwonly3(a=10, b=30, y=20) == (10, 30, 1, 20) assert kwonly3(10, x=40, y=20) == (10, 0, 40, 20) assert kwonly3(a=10, x=40, y=20) == (10, 0, 40, 20) assert kwonly3(10, 30, x=40, y=20) == (10, 30, 40, 20) assert kwonly3(10, b=30, x=40, y=20) == (10, 30, 40, 20) assert kwonly3(a=10, b=30, x=40, y=20) == (10, 30, 40, 20) assert kwonly4(x=1, y=2) == (1, 2) assert kwonly4(y=2, x=1) == (1, 2) # varargs tests assert varargs1() == () assert varargs1(1, 2, 3) == (1, 2, 3) assert varargs1(1, *[2, 3, 4], 5, *[6, 7, 8], 9) == (1, 2, 3, 4, 5, 6, 7, 8, 9) assert varargs2(1, 2, 3) == ((1, 2, 3), {}) assert varargs2(1, 2, 3, x=4) == ((1, 2, 3), {'x': 4}) assert varargs2(x=4) == ((), {'x': 4}) assert varargs3() == {} assert varargs3(x=4) == {'x': 4} assert varargs3(x=4, y=5) == {'x': 4, 'y': 5} assert varargs4(-1, y=2) == ((-1, 0), {'x': 1, 'y': 2}) assert varargs4(-1, 2, y=2) == ((-1, 2), {'x': 1, 'y': 2}) assert varargs4(-1, 2, 3, y=2) == ((-1, 2, 3), {'x': 1, 'y': 2}) assert varargs4(-1, 2, 3, x=10, y=2) == ((-1, 2, 3), {'x': 10, 'y': 2}) assert varargs4(-1, x=10, y=2) == ((-1, 0), {'x': 10, 'y': 2}) assert varargs4(-1, y=2, z=20) == ((-1, 0), {'x': 1, 'y': 2, 'z': 20}) assert varargs4(-1, 2, y=2, z=20) == ((-1, 2), {'x': 1, 'y': 2, 'z': 20}) assert varargs4(-1, 2, 3, y=2, z=20) == ((-1, 2, 3), {'x': 1, 'y': 2, 'z': 20}) assert varargs4(-1, 2, 3, x=10, y=2, z=20) == ((-1, 2, 3), {'x': 10, 'y': 2, 'z': 20}) assert varargs4(-1, x=10, y=2, z=20) == ((-1, 0), {'x': 10, 'y': 2, 'z': 20}) x = B() # type: A assert x.f(1) == (1,) assert x.g(1) == ((1,), {}) # This one is really funny! When we make native calls we lose # track of which arguments are positional or keyword, so the glue # calls them all positional unless they are keyword only... # It would be possible to fix this by dynamically tracking which # arguments were passed by keyword (for example, by passing a bitmask # to functions indicating this), but paying a speed, size, and complexity # cost for something so deeply marginal seems like a bad choice. # assert x.g(x=1) == ((), {'x': 1}) [file driver.py] from testutil import assertRaises from native import ( kwonly1, kwonly2, kwonly3, kwonly4, varargs1, varargs2, varargs3, varargs4, ) # Run the non-exceptional tests in both interpreted and compiled mode import other import other_interpreted # And the tests for errors at the interfaces in interpreted only with assertRaises(TypeError, "missing required keyword-only argument 'y'"): kwonly1() with assertRaises(TypeError, "takes at most 1 positional argument (2 given)"): kwonly1(10, 20) with assertRaises(TypeError, "missing required keyword-only argument 'y'"): kwonly2() with assertRaises(TypeError, "takes no positional arguments"): kwonly2(10, 20) with assertRaises(TypeError, "missing required argument 'a'"): kwonly3(b=30, x=40, y=20) with assertRaises(TypeError, "missing required keyword-only argument 'y'"): kwonly3(10) with assertRaises(TypeError, "missing required keyword-only argument 'y'"): kwonly4(x=1) with assertRaises(TypeError, "missing required keyword-only argument 'x'"): kwonly4(y=1) with assertRaises(TypeError, "missing required keyword-only argument 'x'"): kwonly4() with assertRaises(TypeError, "'x' is an invalid keyword argument for varargs1()"): varargs1(x=10) with assertRaises(TypeError, "'x' is an invalid keyword argument for varargs1()"): varargs1(1, x=10) with assertRaises(TypeError, "varargs3() takes no positional arguments"): varargs3(10) with assertRaises(TypeError, "varargs3() takes no positional arguments"): varargs3(10, x=10) with assertRaises(TypeError, "varargs4() missing required argument 'a' (pos 1)"): varargs4() with assertRaises(TypeError, "varargs4() missing required keyword-only argument 'y'"): varargs4(1, 2) with assertRaises(TypeError, "varargs4() missing required keyword-only argument 'y'"): varargs4(1, 2, x=1) with assertRaises(TypeError, "varargs4() missing required keyword-only argument 'y'"): varargs4(1, 2, 3) with assertRaises(TypeError, "varargs4() missing required argument 'a' (pos 1)"): varargs4(y=20) [case testDecoratorName] def dec(f): return f @dec def foo(): pass def test_decorator_name(): assert foo.__name__ == "foo" [case testLambdaArgToOverloaded] from lib import sub def test_str_overload() -> None: assert sub('x', lambda m: m) == 'x' def test_bytes_overload() -> None: assert sub(b'x', lambda m: m) == b'x' [file lib.py] from typing import overload, Callable, TypeVar, Generic T = TypeVar("T") class Match(Generic[T]): def __init__(self, x: T) -> None: self.x = x def group(self, n: int) -> T: return self.x @overload def sub(s: str, f: Callable[[str], str]) -> str: ... @overload def sub(s: bytes, f: Callable[[bytes], bytes]) -> bytes: ... def sub(s, f): return f(s) [case testContextManagerSpecialCase] from typing import Generator, Callable, Iterator from contextlib import contextmanager @contextmanager def f() -> Iterator[None]: yield def test_special_case() -> None: a = [''] with f(): a.pop() [case testUnpackKwargsCompiled] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(**kwargs: Unpack[Person]) -> None: print(kwargs["name"]) def test_unpack() -> None: # This is not really supported yet, just test that we behave reasonably. foo(name='Jennifer', age=38) [typing fixtures/typing-full.pyi] [out] Jennifer [case testNestedFunctionDunderDict312] import sys def foo() -> None: def inner() -> str: return "bar" print(inner.__dict__) # type: ignore[attr-defined] inner.__dict__.update({"x": 1}) # type: ignore[attr-defined] print(inner.__dict__) # type: ignore[attr-defined] print(inner.x) # type: ignore[attr-defined] def test_nested() -> None: if sys.version_info >= (3, 12): # type: ignore foo() [out] [out version>=3.12] {} {'x': 1} 1 [case testFunctoolsUpdateWrapper] import functools def bar() -> None: def inner() -> str: return "bar" functools.update_wrapper(inner, bar) # type: ignore print(inner.__dict__) # type: ignore def test_update() -> None: bar() [typing fixtures/typing-full.pyi] [out] {'__module__': 'native', '__name__': 'bar', '__qualname__': 'bar', '__doc__': None, '__wrapped__': } [case testCallNestedFunctionWithNamed] def f() -> None: def a() -> None: pass def b() -> None: a() b() [file driver.py] from native import f f() [case testCallNestedFunctionWithLambda] def f(x: int) -> int: def inc(x: int) -> int: return x + 1 return (lambda x: inc(x))(1) [file driver.py] from native import f print(f(1)) [out] 2 [case testStarArgFastPaths] from typing import Any, Mapping def fn(x: str, y: int) -> str: return x * y def star_tuple(*args: Any) -> str: return fn(*args) def star_list(args: list[Any]) -> str: return fn(*args) def star_generic(args: dict[Any, Any]) -> str: return fn(*args) def star2(**kwargs: Any) -> str: return fn(**kwargs) def star2_generic(kwargs: Mapping[Any, Any]) -> str: return fn(**kwargs) def test_star_fastpath_tuple() -> None: assert star_tuple("a", 3) == "aaa" def test_star_fastpath_list() -> None: assert star_list(["a", 3]) == "aaa" def test_star_fastpath_generic() -> None: assert star_generic({"a": None, 3: None}) == "aaa" def test_star2_fastpath() -> None: assert star2(x="a", y=3) == "aaa" def test_star2_fastpath_generic() -> None: assert star2_generic({"x": "a", "y": 3}) == "aaa" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-generators.test0000644000175100017510000005225615112307767021174 0ustar00runnerrunner# Test cases for generators and yield (compile and run) [case testYield] from typing import Generator, Iterable, Union, Tuple, Dict def yield_three_times() -> Iterable[int]: yield 1 yield 2 yield 3 def yield_twice_and_return() -> Generator[int, None, int]: yield 1 yield 2 return 4 def yield_while_loop() -> Generator[int, None, int]: i = 0 while i < 5: if i == 3: return i yield i i += 1 return -1 def yield_for_loop() -> Iterable[int]: l = [i for i in range(3)] for i in l: yield i d = {k: None for k in range(3)} for k in d: yield k for i in range(3): yield i for i in range(three()): yield i def yield_with_except() -> Generator[int, None, None]: yield 10 try: return except: print('Caught exception inside generator function') def complex_yield(a: int, b: str, c: float) -> Generator[Union[str, int], None, float]: x = 2 while x < a: if x % 2 == 0: dummy_var = 1 yield str(x) + ' ' + b dummy_var = 1 else: dummy_var = 1 yield x dummy_var = 1 x += 1 return c def yield_with_default(x: bool = False) -> Iterable[int]: if x: yield 0 def yield_dict_methods(d1: Dict[int, int], d2: Dict[int, int], d3: Dict[int, int]) -> Iterable[int]: for k in d1.keys(): yield k for k, v in d2.items(): yield k yield v for v in d3.values(): yield v def three() -> int: return 3 class A(object): def __init__(self, x: int) -> None: self.x = x def generator(self) -> Iterable[int]: yield self.x def return_tuple() -> Generator[int, None, Tuple[int, int]]: yield 0 return 1, 2 [file driver.py] from native import ( yield_three_times, yield_twice_and_return, yield_while_loop, yield_for_loop, yield_with_except, complex_yield, yield_with_default, A, return_tuple, yield_dict_methods, ) from testutil import run_generator from collections import defaultdict assert run_generator(yield_three_times()) == ((1, 2, 3), None) assert run_generator(yield_twice_and_return()) == ((1, 2), 4) assert run_generator(yield_while_loop()) == ((0, 1, 2), 3) assert run_generator(yield_for_loop()) == (tuple(4 * [i for i in range(3)]), None) assert run_generator(yield_with_except()) == ((10,), None) assert run_generator(complex_yield(5, 'foo', 1.0)) == (('2 foo', 3, '4 foo'), 1.0) assert run_generator(yield_with_default()) == ((), None) assert run_generator(A(0).generator()) == ((0,), None) assert run_generator(return_tuple()) == ((0,), (1, 2)) assert run_generator(yield_dict_methods({}, {}, {})) == ((), None) assert run_generator(yield_dict_methods({1: 2}, {3: 4}, {5: 6})) == ((1, 3, 4, 6), None) dd = defaultdict(int, {0: 1}) assert run_generator(yield_dict_methods(dd, dd, dd)) == ((0, 0, 1, 1), None) for i in yield_twice_and_return(): print(i) for i in yield_while_loop(): print(i) [out] 1 2 0 1 2 [case testYieldTryFinallyWith] from typing import Generator, Any class Thing: def __init__(self, x: str) -> None: self.x = x def __enter__(self) -> str: print('enter!', self.x) if self.x == 'crash': raise Exception('ohno') return self.x def __exit__(self, x: Any, y: Any, z: Any) -> None: print('exit!', self.x, y) def yield_try_finally() -> Generator[int, None, str]: try: yield 1 yield 2 return 'lol' except Exception: raise finally: print('goodbye!') def yield_with(i: int) -> Generator[int, None, int]: with Thing('a') as x: yield 1 print("yooo?", x) if i == 0: yield 2 return 10 elif i == 1: raise Exception('exception!') return -1 [file driver.py] from native import yield_try_finally, yield_with from testutil import run_generator print(run_generator(yield_try_finally(), p=True)) print(run_generator(yield_with(0), p=True)) print(run_generator(yield_with(1), p=True)) [out] 1 2 goodbye! ((1, 2), 'lol') enter! a 1 yooo? a 2 exit! a None ((1, 2), 10) enter! a 1 yooo? a exit! a exception! ((1,), 'exception!') [case testYieldNested] from typing import Callable, Generator, Iterator, TypeVar, overload from testutil import run_generator def normal(a: int, b: float) -> Callable: def generator(x: int, y: str) -> Generator: yield a yield b yield x yield y return generator def generator(a: int) -> Generator: def normal(x: int) -> int: return a + x for i in range(3): yield normal(i) def triple() -> Callable: def generator() -> Generator: x = 0 def inner() -> int: x += 1 return x while x < 3: yield inner() return generator def another_triple() -> Callable: def generator() -> Generator: x = 0 def inner_generator() -> Generator: x += 1 yield x yield next(inner_generator()) return generator def outer() -> Generator: def recursive(n: int) -> Generator: if n < 10: for i in range(n): yield i return for i in recursive(5): yield i return recursive(10) def test_return_nested_generator() -> None: assert run_generator(normal(1, 2.0)(3, '4.00')) == ((1, 2.0, 3, '4.00'), None) assert run_generator(generator(1)) == ((1, 2, 3), None) assert run_generator(triple()()) == ((1, 2, 3), None) assert run_generator(another_triple()()) == ((1,), None) assert run_generator(outer()) == ((0, 1, 2, 3, 4), None) def call_nested(x: int) -> list[int]: def generator() -> Iterator[int]: n = int() + 2 yield x yield n * x a = [] for x in generator(): a.append(x) return a T = TypeVar("T") def deco(f: T) -> T: return f def call_nested_decorated(x: int) -> list[int]: @deco def generator() -> Iterator[int]: n = int() + 3 yield x yield n * x a = [] for x in generator(): a.append(x) return a def call_nested_recursive(x: int) -> Iterator: def recursive(x: int) -> Iterator: if x > 0: yield from recursive(x - 1) yield x yield from recursive(x) def test_call_nested_generator_in_function() -> None: assert call_nested_decorated(5) == [5, 15] assert list(call_nested_recursive(5)) == [0, 1, 2, 3, 4, 5] [case testYieldThrow] from typing import Generator, Iterable, Any, Union from traceback import print_tb from contextlib import contextmanager import wrapsys def generator() -> Generator[int, None, Union[int, None]]: try: yield 1 yield 2 yield 3 except Exception as e: print_tb(wrapsys.exc_info()[2]) s = str(e) if s: print('caught exception with value ' + s) else: print('caught exception without value') return 0 return None def no_except() -> Iterable[int]: yield 1 yield 2 def raise_something() -> Iterable[int]: yield 1 yield 2 raise Exception('failure') def wrapper(x: Any) -> Any: return (yield from x) def foo() -> Generator[int, None, None]: try: yield 1 except Exception as e: print(str(e)) finally: print('goodbye') ctx_manager = contextmanager(foo) [file wrapsys.py] # This is a gross hack around some limitations of the test system/mypyc. from typing import Any import sys def exc_info() -> Any: return sys.exc_info() # type: ignore [file driver.py] import sys from typing import Generator, Tuple, TypeVar, Sequence from native import generator, ctx_manager, wrapper, no_except, raise_something T = TypeVar('T') U = TypeVar('U') def run_generator_and_throw(gen: Generator[T, None, U], num_times: int, value: object = None, traceback: object = None) -> Tuple[Sequence[T], U]: res = [] try: for i in range(num_times): res.append(next(gen)) if value is not None and traceback is not None: gen.throw(Exception, value, traceback) elif value is not None: gen.throw(Exception, value) else: gen.throw(Exception) except StopIteration as e: return (tuple(res), e.value) except Exception as e: return (tuple(res), str(e)) assert run_generator_and_throw(generator(), 0, 'hello') == ((), 'hello') assert run_generator_and_throw(generator(), 3) == ((1, 2, 3), 0) assert run_generator_and_throw(generator(), 2, 'some string') == ((1, 2), 0) try: raise Exception except Exception as e: tb = sys.exc_info()[2] assert run_generator_and_throw(generator(), 1, 'some other string', tb) == ((1,), 0) assert run_generator_and_throw(wrapper(generator()), 0, 'hello') == ((), 'hello') assert run_generator_and_throw(wrapper(generator()), 3) == ((1, 2, 3), 0) assert run_generator_and_throw(wrapper(generator()), 2, 'some string') == ((1, 2), 0) # Make sure we aren't leaking exc_info assert sys.exc_info()[0] is None assert run_generator_and_throw(wrapper([1, 2, 3]), 3, 'lol') == ((1, 2, 3), 'lol') assert run_generator_and_throw(wrapper(no_except()), 2, 'lol') == ((1, 2), 'lol') assert run_generator_and_throw(wrapper(raise_something()), 3) == ((1, 2), 'failure') with ctx_manager() as c: raise Exception('exception') [out] File "native.py", line 10, in generator yield 3 File "native.py", line 9, in generator yield 2 File "native.py", line 8, in generator yield 1 File "driver.py", line 31, in raise Exception File "native.py", line 10, in generator yield 3 File "native.py", line 31, in wrapper return (yield from x) File "native.py", line 9, in generator yield 2 File "native.py", line 31, in wrapper return (yield from x) caught exception without value caught exception with value some string caught exception with value some other string caught exception without value caught exception with value some string exception goodbye [case testYieldSend] from typing import Generator def basic() -> Generator[int, int, int]: x = yield 1 y = yield (x + 1) return y def use_from() -> Generator[int, int, int]: return (yield from basic()) [file driver.py] from native import basic, use_from from testutil import run_generator assert run_generator(basic(), [5, 50]) == ((1, 6), 50) assert run_generator(use_from(), [5, 50]) == ((1, 6), 50) [case testYieldFrom] from typing import Generator, Iterator, List def basic() -> Iterator[int]: yield from [1, 2, 3] def call_next() -> int: x = [] # type: List[int] return next(iter(x)) def inner(b: bool) -> Generator[int, None, int]: if b: yield from [1, 2, 3] return 10 def with_return(b: bool) -> Generator[int, None, int]: x = yield from inner(b) for a in [1, 2]: pass return x [file driver.py] from native import basic, call_next, with_return from testutil import run_generator, assertRaises assert run_generator(basic()) == ((1, 2, 3), None) with assertRaises(StopIteration): call_next() assert run_generator(with_return(True)) == ((1, 2, 3), 10) assert run_generator(with_return(False)) == ((), 10) [case testNextGenerator] from typing import Iterable def f(x: int) -> int: print(x) return x def call_next_loud(l: Iterable[int], val: int) -> int: return next(i for i in l if f(i) == val) def call_next_default(l: Iterable[int], val: int) -> int: return next((i*2 for i in l if i == val), -1) def call_next_default_list(l: Iterable[int], val: int) -> int: return next((i*2 for i in l if i == val), -1) [file driver.py] from native import call_next_loud, call_next_default, call_next_default_list from testutil import assertRaises assert call_next_default([0, 1, 2], 0) == 0 assert call_next_default([0, 1, 2], 1) == 2 assert call_next_default([0, 1, 2], 2) == 4 assert call_next_default([0, 1, 2], 3) == -1 assert call_next_default([], 0) == -1 assert call_next_default_list([0, 1, 2], 0) == 0 assert call_next_default_list([0, 1, 2], 1) == 2 assert call_next_default_list([0, 1, 2], 2) == 4 assert call_next_default_list([0, 1, 2], 3) == -1 assert call_next_default_list([], 0) == -1 assert call_next_loud([0, 1, 2], 0) == 0 assert call_next_loud([0, 1, 2], 1) == 1 assert call_next_loud([0, 1, 2], 2) == 2 with assertRaises(StopIteration): call_next_loud([42], 3) with assertRaises(StopIteration): call_next_loud([], 3) [out] 0 0 1 0 1 2 42 [case testGeneratorSuper] from typing import Iterator, Callable, Any class A(): def testA(self) -> int: return 2 class B(A): def testB(self) -> Iterator[int]: x = super().testA() while True: yield x def testAsserts(): b = B() b_gen = b.testB() assert next(b_gen) == 2 [file driver.py] from native import testAsserts testAsserts() [case testNameClashIssues] class A: def foo(self) -> object: yield class B: def foo(self) -> object: yield class C: def foo(self) -> None: def bar(self) -> None: pass def C___foo() -> None: pass class D: def foo(self) -> None: def bar(self) -> None: pass class E: default: int switch: int [file driver.py] # really I only care it builds [case testCloseStopIterationRaised] def g() -> object: try: yield 1 except GeneratorExit: raise [file driver.py] from native import g gen = g() next(gen) gen.close() [case testCloseGeneratorExitRaised] def g() -> object: yield 1 [file driver.py] from native import g gen = g() next(gen) gen.close() [case testCloseGeneratorExitIgnored] def g() -> object: try: yield 1 except GeneratorExit: pass yield 2 [file driver.py] from native import g gen = g() next(gen) try: gen.close() except RuntimeError as e: assert str(e) == 'generator ignored GeneratorExit' else: assert False [case testCloseGeneratorRaisesAnotherException] def g() -> object: try: yield 1 except GeneratorExit: raise RuntimeError("error") [file driver.py] from native import g gen = g() next(gen) try: gen.close() except RuntimeError as e: assert str(e) == 'error' else: assert False [case testBorrowingInGeneratorNearYield] from typing import Iterator class Foo: flag = False class C: foo = Foo() def genf(self) -> Iterator[None]: self.foo.flag = True yield self.foo.flag = False def test_near_yield() -> None: c = C() for x in c.genf(): pass assert c.foo.flag == False [case testGeneratorEarlyReturnWithBorrows] from typing import Iterator class Bar: bar = 0 class Foo: bar = Bar() def f(self) -> Iterator[int]: if self: self.bar.bar += 1 return yield 0 def test_early_return() -> None: foo = Foo() for x in foo.f(): pass assert foo.bar.bar == 1 [case testBorrowingInGeneratorInTupleAssignment] from typing import Iterator class Foo: flag1: bool flag2: bool class C: foo: Foo def genf(self) -> Iterator[None]: self.foo.flag1, self.foo.flag2 = True, True yield self.foo.flag1, self.foo.flag2 = False, False def test_generator() -> None: c = C() c.foo = Foo() gen = c.genf() next(gen) assert c.foo.flag1 == c.foo.flag2 == True assert list(gen) == [] assert c.foo.flag1 == c.foo.flag2 == False [case testYieldInFinally] from typing import Generator def finally_yield() -> Generator[str, None, str]: try: return 'test' finally: yield 'x' [file driver.py] from native import finally_yield from testutil import run_generator yields, val = run_generator(finally_yield()) assert yields == ('x',) assert val == 'test', val [case testUnreachableComprehensionNoCrash] from typing import List def list_comp() -> List[int]: if True: return [5] return [i for i in [5]] [file driver.py] from native import list_comp assert list_comp() == [5] [case testWithNative] class DummyContext: def __init__(self) -> None: self.x = 0 def __enter__(self) -> None: self.x += 1 def __exit__(self, exc_type, exc_value, exc_tb) -> None: self.x -= 1 def test_basic() -> None: context = DummyContext() with context: assert context.x == 1 assert context.x == 0 [case testYieldSpill] from typing import Generator from testutil import run_generator def f() -> int: return 1 def yield_spill() -> Generator[str, int, int]: return f() + (yield "foo") def test_basic() -> None: x = run_generator(yield_spill(), [2]) yields, val = x assert yields == ('foo',) assert val == 3, val [case testGeneratorReuse] from typing import Iterator, Any def gen(x: list[int]) -> Iterator[list[int]]: y = [9] for z in x: yield y + [z] yield y def gen_range(n: int) -> Iterator[int]: for x in range(n): yield x def test_use_generator_multiple_times_one_at_a_time() -> None: for i in range(100): a = [] for x in gen([2, i]): a.append(x) assert a == [[9, 2], [9, i], [9]] def test_use_multiple_generator_instances_at_same_time() -> None: a = [] for x in gen([2]): a.append(x) for y in gen([3, 4]): a.append(y) assert a == [[9, 2], [9, 3], [9, 4], [9], [9], [9, 3], [9, 4], [9]] def test_use_multiple_generator_instances_at_same_time_2() -> None: a = [] for x in gen_range(2): a.append(x) b = [] for y in gen_range(3): b.append(y) c = [] for z in gen_range(4): c.append(z) assert c == [0, 1, 2, 3] assert b == [0, 1, 2] assert a == [0, 1] assert list(gen_range(5)) == list(range(5)) def gen_a(x: int) -> Iterator[int]: yield x + 1 def gen_b(x: int) -> Iterator[int]: yield x + 2 def test_generator_identities() -> None: # Sanity check: two distinct live objects can't reuse the same memory location g1 = gen_a(1) g2 = gen_a(1) assert g1 is not g2 # If two generators have non-overlapping lifetimes, they should reuse a memory location g3 = gen_b(1) id1 = id(g3) g3 = gen_b(1) assert id(g3) == id1 # More complex case of reuse: allocate other objects in between g4: Any = gen_a(1) id2 = id(g4) g4 = gen_b(1) g4 = [gen_b(n) for n in range(100)] g4 = gen_a(1) assert id(g4) == id2 [case testGeneratorReuseWithGilDisabled] import sys import threading from typing import Iterator def gen() -> Iterator[int]: yield 1 def is_gil_disabled() -> bool: return hasattr(sys, "_is_gil_enabled") and not sys._is_gil_enabled() def test_each_thread_gets_separate_instance() -> None: if not is_gil_disabled(): # This only makes sense if GIL is disabled return g = gen() id1 = id(g) id2 = 0 def run() -> None: nonlocal id2 g = gen() id2 = id(g) t = threading.Thread(target=run) t.start() t.join() # Each thread should get a separate reused instance assert id1 != id2 [case testGeneratorWithUndefinedLocalInEnvironment] from typing import Iterator from testutil import assertRaises def gen(set: bool) -> Iterator[float]: if set: y = float("-113.0") yield 1.0 yield y def test_bitmap_is_cleared_when_object_is_reused() -> None: # This updates the bitmap of the shared instance. list(gen(True)) # Ensure bitmap has been cleared. with assertRaises(AttributeError): # TODO: Should be UnboundLocalError list(gen(False)) def gen2(set: bool) -> Iterator[int]: if set: y = int("5") yield 1 yield y def test_undefined_int_in_environment() -> None: list(gen2(True)) with assertRaises(AttributeError): # TODO: Should be UnboundLocalError list(gen2(False)) [case testVariableWithSameNameAsHelperMethod] from testutil import assertRaises from typing import Iterator def gen_send() -> Iterator[int]: send = 1 yield send + 1 def gen_throw() -> Iterator[int]: throw = 42 yield throw * 2 def undefined() -> Iterator[int]: if int(): send = 1 yield send + 1 def test_same_names() -> None: assert list(gen_send()) == [2] assert list(gen_throw()) == [84] with assertRaises(AttributeError, "attribute 'send' of 'undefined_gen' undefined"): # TODO: Should be UnboundLocalError, this test verifies that the attribute name # matches the variable name in the input code, since internally it's generated # with a prefix. list(undefined()) [case testGeneratorInheritance] from typing import Iterator class Base1: def foo(self) -> Iterator[int]: yield 1 class Derived1(Base1): def foo(self) -> Iterator[int]: yield 2 yield 3 def base1_foo(b: Base1) -> list[int]: a = [] for x in b.foo(): a.append(x) return a def derived1_foo(b: Derived1) -> list[int]: a = [] for x in b.foo(): a.append(x) return a def test_generator_override() -> None: assert base1_foo(Base1()) == [1] assert base1_foo(Derived1()) == [2, 3] assert derived1_foo(Derived1()) == [2, 3] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-generics.test0000644000175100017510000000417115112307767020613 0ustar00runnerrunner[case testTypeVarMappingBound] # Dicts are special-cased for efficient iteration. from typing import Dict, TypedDict, TypeVar, Union class TD(TypedDict): foo: int M = TypeVar("M", bound=Dict[str, int]) U = TypeVar("U", bound=Union[Dict[str, int], Dict[str, str]]) T = TypeVar("T", bound=TD) def fn_mapping(m: M) -> None: print([x for x in m]) print([x for x in m.values()]) print([x for x in m.keys()]) print({k: v for k, v in m.items()}) def fn_union(m: U) -> None: print([x for x in m]) print([x for x in m.values()]) print([x for x in m.keys()]) print({k: v for k, v in m.items()}) def fn_typeddict(t: T) -> None: print([x for x in t]) print([x for x in t.values()]) print([x for x in t.keys()]) print({k: v for k, v in t.items()}) def test_mapping() -> None: fn_mapping({}) print("=====") fn_mapping({"a": 1, "b": 2}) print("=====") fn_union({"a": 1, "b": 2}) print("=====") fn_union({"a": "1", "b": "2"}) print("=====") orig: Union[Dict[str, int], Dict[str, str]] = {"a": 1, "b": 2} fn_union(orig) print("=====") td: TD = {"foo": 1} fn_typeddict(td) [typing fixtures/typing-full.pyi] [out] \[] \[] \[] {} ===== \['a', 'b'] \[1, 2] \['a', 'b'] {'a': 1, 'b': 2} ===== \['a', 'b'] \[1, 2] \['a', 'b'] {'a': 1, 'b': 2} ===== \['a', 'b'] \['1', '2'] \['a', 'b'] {'a': '1', 'b': '2'} ===== \['a', 'b'] \[1, 2] \['a', 'b'] {'a': 1, 'b': 2} ===== \['foo'] \[1] \['foo'] {'foo': 1} [case testParamSpecComponentsAreUsable] from typing import Callable from typing_extensions import ParamSpec P = ParamSpec("P") def deco(func: Callable[P, int]) -> Callable[P, int]: def inner(*args: P.args, **kwargs: P.kwargs) -> int: print([x for x in args]) print({k: v for k, v in kwargs.items()}) print(list(kwargs)) print(list(kwargs.keys())) print(list(kwargs.values())) return func(*args, **kwargs) return inner @deco def f(x: int, y: str) -> int: return x def test_usable() -> None: assert f(1, 'a') == 1 assert f(2, y='b') == 2 [out] \[1, 'a'] {} \[] \[] \[] \[2] {'y': 'b'} \['y'] \['y'] \['b'] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-i16.test0000644000175100017510000002213215112307767017410 0ustar00runnerrunner[case testI16BasicOps] from typing import Any, Tuple from mypy_extensions import i16, i32, i64 from testutil import assertRaises def test_box_and_unbox() -> None: values = (list(range(-2**15, -2**15 + 100)) + list(range(-1000, 1000)) + list(range(2**15 - 100, 2**15))) for i in values: o: Any = i x: i16 = o o2: Any = x assert o == o2 assert x == i with assertRaises(OverflowError, "int too large to convert to i16"): o = 2**15 x2: i16 = o with assertRaises(OverflowError, "int too large to convert to i16"): o = -2**15 - 1 x3: i16 = o def div_by_7(x: i16) -> i16: return x // 7 def div_by_neg_7(x: i16) -> i16: return x // -7 def div(x: i16, y: i16) -> i16: return x // y def test_divide_by_constant() -> None: for i in range(-1000, 1000): assert div_by_7(i) == i // 7 for i in range(-2**15, -2**15 + 1000): assert div_by_7(i) == i // 7 for i in range(2**15 - 1000, 2**15): assert div_by_7(i) == i // 7 def test_divide_by_negative_constant() -> None: for i in range(-1000, 1000): assert div_by_neg_7(i) == i // -7 for i in range(-2**15, -2**15 + 1000): assert div_by_neg_7(i) == i // -7 for i in range(2**15 - 1000, 2**15): assert div_by_neg_7(i) == i // -7 def test_divide_by_variable() -> None: values = (list(range(-50, 50)) + list(range(-2**15, -2**15 + 10)) + list(range(2**15 - 10, 2**15))) for x in values: for y in values: if y != 0: if x // y == 2**15: with assertRaises(OverflowError, "integer division overflow"): div(x, y) else: assert div(x, y) == x // y else: with assertRaises(ZeroDivisionError, "integer division or modulo by zero"): div(x, y) def mod_by_7(x: i16) -> i16: return x % 7 def mod_by_neg_7(x: i16) -> i16: return x // -7 def mod(x: i16, y: i16) -> i16: return x % y def test_mod_by_constant() -> None: for i in range(-1000, 1000): assert mod_by_7(i) == i % 7 for i in range(-2**15, -2**15 + 1000): assert mod_by_7(i) == i % 7 for i in range(2**15 - 1000, 2**15): assert mod_by_7(i) == i % 7 def test_mod_by_negative_constant() -> None: for i in range(-1000, 1000): assert mod_by_neg_7(i) == i // -7 for i in range(-2**15, -2**15 + 1000): assert mod_by_neg_7(i) == i // -7 for i in range(2**15 - 1000, 2**15): assert mod_by_neg_7(i) == i // -7 def test_mod_by_variable() -> None: values = (list(range(-50, 50)) + list(range(-2**15, -2**15 + 10)) + list(range(2**15 - 10, 2**15))) for x in values: for y in values: if y != 0: assert mod(x, y) == x % y else: with assertRaises(ZeroDivisionError, "integer division or modulo by zero"): mod(x, y) def test_simple_arithmetic_ops() -> None: zero: i16 = int() one: i16 = zero + 1 two: i16 = one + 1 neg_one: i16 = -one assert one + one == 2 assert one + two == 3 assert one + neg_one == 0 assert one - one == 0 assert one - two == -1 assert one * one == 1 assert one * two == 2 assert two * two == 4 assert two * neg_one == -2 assert neg_one * one == -1 assert neg_one * neg_one == 1 assert two * 0 == 0 assert 0 * two == 0 assert -one == -1 assert -two == -2 assert -neg_one == 1 assert -zero == 0 def test_bitwise_ops() -> None: x: i16 = 13855 + int() y: i16 = 367 + int() z: i16 = -11091 + int() zero: i16 = int() one: i16 = zero + 1 two: i16 = zero + 2 neg_one: i16 = -one assert x & y == 15 assert x & z == 5133 assert z & z == z assert x & zero == 0 assert x | y == 14207 assert x | z == -2369 assert z | z == z assert x | 0 == x assert x ^ y == 14192 assert x ^ z == -7502 assert z ^ z == 0 assert z ^ 0 == z assert x << one == 27710 assert x << two == -10116 assert z << two == 21172 assert z << 0 == z assert x >> one == 6927 assert x >> two == 3463 assert z >> two == -2773 assert z >> 0 == z assert ~x == -13856 assert ~z == 11090 assert ~zero == -1 assert ~neg_one == 0 def eq(x: i16, y: i16) -> bool: return x == y def test_eq() -> None: assert eq(int(), int()) assert eq(5 + int(), 5 + int()) assert eq(-5 + int(), -5 + int()) assert not eq(int(), 1 + int()) assert not eq(5 + int(), 6 + int()) assert not eq(-5 + int(), -6 + int()) assert not eq(-5 + int(), 5 + int()) def test_comparisons() -> None: one: i16 = 1 + int() one2: i16 = 1 + int() two: i16 = 2 + int() assert one < two assert not (one < one2) assert not (two < one) assert two > one assert not (one > one2) assert not (one > two) assert one <= two assert one <= one2 assert not (two <= one) assert two >= one assert one >= one2 assert not (one >= two) assert one == one2 assert not (one == two) assert one != two assert not (one != one2) def test_mixed_comparisons() -> None: i16_3: i16 = int() + 3 int_5 = int() + 5 assert i16_3 < int_5 assert int_5 > i16_3 b = i16_3 > int_5 assert not b int_largest = int() + (1 << 15) - 1 assert int_largest > i16_3 int_smallest = int() - (1 << 15) assert i16_3 > int_smallest int_too_big = int() + (1 << 15) int_too_small = int() - (1 << 15) - 1 with assertRaises(OverflowError): assert i16_3 < int_too_big with assertRaises(OverflowError): assert int_too_big < i16_3 with assertRaises(OverflowError): assert i16_3 > int_too_small with assertRaises(OverflowError): assert int_too_small < i16_3 def test_mixed_arithmetic_and_bitwise_ops() -> None: i16_3: i16 = int() + 3 int_5 = int() + 5 assert i16_3 + int_5 == 8 assert int_5 - i16_3 == 2 assert i16_3 << int_5 == 96 assert int_5 << i16_3 == 40 assert i16_3 ^ int_5 == 6 assert int_5 | i16_3 == 7 int_largest = int() + (1 << 15) - 1 assert int_largest - i16_3 == 32764 int_smallest = int() - (1 << 15) assert int_smallest + i16_3 == -32765 int_too_big = int() + (1 << 15) int_too_small = int() - (1 << 15) - 1 with assertRaises(OverflowError): assert i16_3 & int_too_big with assertRaises(OverflowError): assert int_too_small & i16_3 def test_coerce_to_and_from_int() -> None: for shift in range(0, 16): for sign in 1, -1: for delta in range(-5, 5): n = sign * (1 << shift) + delta if -(1 << 15) <= n < (1 << 15): x: i16 = n m: int = x assert m == n def test_explicit_conversion_to_i16() -> None: x = i16(5) assert x == 5 y = int() - 113 x = i16(y) assert x == -113 n64: i64 = 1733 x = i16(n64) assert x == 1733 n32: i32 = -1733 x = i16(n32) assert x == -1733 z = i16(x) assert z == -1733 def test_explicit_conversion_overflow() -> None: max_i16 = int() + 2**15 - 1 x = i16(max_i16) assert x == 2**15 - 1 assert int(x) == max_i16 min_i16 = int() - 2**15 y = i16(min_i16) assert y == -2**15 assert int(y) == min_i16 too_big = int() + 2**15 with assertRaises(OverflowError): x = i16(too_big) too_small = int() - 2**15 - 1 with assertRaises(OverflowError): x = i16(too_small) def test_i16_from_large_small_literal() -> None: x = i16(2**15 - 1) assert x == 2**15 - 1 x = i16(-2**15) assert x == -2**15 def test_i16_truncate_from_i64() -> None: large = i64(2**32 + 65536 + 157 + int()) x = i16(large) assert x == 157 small = i64(-2**32 - 65536 - 157 + int()) x = i16(small) assert x == -157 large2 = i64(2**15 + int()) x = i16(large2) assert x == -2**15 small2 = i64(-2**15 - 1 - int()) x = i16(small2) assert x == 2**15 - 1 def test_i16_truncate_from_i32() -> None: large = i32(2**16 + 2**30 + 5 + int()) assert i16(large) == 5 small = i32(-2**16 - 2**30 - 1 + int()) assert i16(small) == -1 def from_float(x: float) -> i16: return i16(x) def test_explicit_conversion_from_float() -> None: assert from_float(0.0) == 0 assert from_float(1.456) == 1 assert from_float(-1234.567) == -1234 assert from_float(2**15 - 1) == 2**15 - 1 assert from_float(-2**15) == -2**15 # The error message could be better, but this is acceptable with assertRaises(OverflowError, "int too large to convert to i16"): assert from_float(float(2**15)) with assertRaises(OverflowError, "int too large to convert to i16"): # One ulp below the lowest valid i64 value from_float(float(-2**15 - 1)) def test_tuple_i16() -> None: a: i16 = 1 b: i16 = 2 t = (a, b) a, b = t assert a == 1 assert b == 2 x: Any = t tt: Tuple[i16, i16] = x assert tt == (1, 2) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-i32.test0000644000175100017510000002212515112307767017410 0ustar00runnerrunner[case testI32BasicOps] from typing import Any, Tuple from mypy_extensions import i16, i32, i64 from testutil import assertRaises def test_box_and_unbox() -> None: values = (list(range(-2**31, -2**31 + 100)) + list(range(-1000, 1000)) + list(range(2**31 - 100, 2**31))) for i in values: o: Any = i x: i32 = o o2: Any = x assert o == o2 assert x == i with assertRaises(OverflowError, "int too large to convert to i32"): o = 2**31 x2: i32 = o with assertRaises(OverflowError, "int too large to convert to i32"): o = -2**32 - 1 x3: i32 = o def div_by_7(x: i32) -> i32: return x // 7 def div_by_neg_7(x: i32) -> i32: return x // -7 def div(x: i32, y: i32) -> i32: return x // y def test_divide_by_constant() -> None: for i in range(-1000, 1000): assert div_by_7(i) == i // 7 for i in range(-2**31, -2**31 + 1000): assert div_by_7(i) == i // 7 for i in range(2**31 - 1000, 2**31): assert div_by_7(i) == i // 7 def test_divide_by_negative_constant() -> None: for i in range(-1000, 1000): assert div_by_neg_7(i) == i // -7 for i in range(-2**31, -2**31 + 1000): assert div_by_neg_7(i) == i // -7 for i in range(2**31 - 1000, 2**31): assert div_by_neg_7(i) == i // -7 def test_divide_by_variable() -> None: values = (list(range(-50, 50)) + list(range(-2**31, -2**31 + 10)) + list(range(2**31 - 10, 2**31))) for x in values: for y in values: if y != 0: if x // y == 2**31: with assertRaises(OverflowError, "integer division overflow"): div(x, y) else: assert div(x, y) == x // y else: with assertRaises(ZeroDivisionError, "integer division or modulo by zero"): div(x, y) def mod_by_7(x: i32) -> i32: return x % 7 def mod_by_neg_7(x: i32) -> i32: return x // -7 def mod(x: i32, y: i32) -> i32: return x % y def test_mod_by_constant() -> None: for i in range(-1000, 1000): assert mod_by_7(i) == i % 7 for i in range(-2**31, -2**31 + 1000): assert mod_by_7(i) == i % 7 for i in range(2**31 - 1000, 2**31): assert mod_by_7(i) == i % 7 def test_mod_by_negative_constant() -> None: for i in range(-1000, 1000): assert mod_by_neg_7(i) == i // -7 for i in range(-2**31, -2**31 + 1000): assert mod_by_neg_7(i) == i // -7 for i in range(2**31 - 1000, 2**31): assert mod_by_neg_7(i) == i // -7 def test_mod_by_variable() -> None: values = (list(range(-50, 50)) + list(range(-2**31, -2**31 + 10)) + list(range(2**31 - 10, 2**31))) for x in values: for y in values: if y != 0: assert mod(x, y) == x % y else: with assertRaises(ZeroDivisionError, "integer division or modulo by zero"): mod(x, y) def test_simple_arithmetic_ops() -> None: zero: i32 = int() one: i32 = zero + 1 two: i32 = one + 1 neg_one: i32 = -one assert one + one == 2 assert one + two == 3 assert one + neg_one == 0 assert one - one == 0 assert one - two == -1 assert one * one == 1 assert one * two == 2 assert two * two == 4 assert two * neg_one == -2 assert neg_one * one == -1 assert neg_one * neg_one == 1 assert two * 0 == 0 assert 0 * two == 0 assert -one == -1 assert -two == -2 assert -neg_one == 1 assert -zero == 0 def test_bitwise_ops() -> None: x: i32 = 1920687484 + int() y: i32 = 383354614 + int() z: i32 = -1879040563 + int() zero: i32 = int() one: i32 = zero + 1 two: i32 = zero + 2 neg_one: i32 = -one assert x & y == 307823732 assert x & z == 268442956 assert z & z == z assert x & zero == 0 assert x | y == 1996218366 assert x | z == -226796035 assert z | z == z assert x | 0 == x assert x ^ y == 1688394634 assert x ^ z == -495238991 assert z ^ z == 0 assert z ^ 0 == z assert x << one == -453592328 assert x << two == -907184656 assert z << two == 1073772340 assert z << 0 == z assert x >> one == 960343742 assert x >> two == 480171871 assert z >> two == -469760141 assert z >> 0 == z assert ~x == -1920687485 assert ~z == 1879040562 assert ~zero == -1 assert ~neg_one == 0 def eq(x: i32, y: i32) -> bool: return x == y def test_eq() -> None: assert eq(int(), int()) assert eq(5 + int(), 5 + int()) assert eq(-5 + int(), -5 + int()) assert not eq(int(), 1 + int()) assert not eq(5 + int(), 6 + int()) assert not eq(-5 + int(), -6 + int()) assert not eq(-5 + int(), 5 + int()) def test_comparisons() -> None: one: i32 = 1 + int() one2: i32 = 1 + int() two: i32 = 2 + int() assert one < two assert not (one < one2) assert not (two < one) assert two > one assert not (one > one2) assert not (one > two) assert one <= two assert one <= one2 assert not (two <= one) assert two >= one assert one >= one2 assert not (one >= two) assert one == one2 assert not (one == two) assert one != two assert not (one != one2) def test_mixed_comparisons() -> None: i32_3: i32 = int() + 3 int_5 = int() + 5 assert i32_3 < int_5 assert int_5 > i32_3 b = i32_3 > int_5 assert not b int_largest = int() + (1 << 31) - 1 assert int_largest > i32_3 int_smallest = int() - (1 << 31) assert i32_3 > int_smallest int_too_big = int() + (1 << 31) int_too_small = int() - (1 << 31) - 1 with assertRaises(OverflowError): assert i32_3 < int_too_big with assertRaises(OverflowError): assert int_too_big < i32_3 with assertRaises(OverflowError): assert i32_3 > int_too_small with assertRaises(OverflowError): assert int_too_small < i32_3 def test_mixed_arithmetic_and_bitwise_ops() -> None: i32_3: i32 = int() + 3 int_5 = int() + 5 assert i32_3 + int_5 == 8 assert int_5 - i32_3 == 2 assert i32_3 << int_5 == 96 assert int_5 << i32_3 == 40 assert i32_3 ^ int_5 == 6 assert int_5 | i32_3 == 7 int_largest = int() + (1 << 31) - 1 assert int_largest - i32_3 == 2147483644 int_smallest = int() - (1 << 31) assert int_smallest + i32_3 == -2147483645 int_too_big = int() + (1 << 31) int_too_small = int() - (1 << 31) - 1 with assertRaises(OverflowError): assert i32_3 & int_too_big with assertRaises(OverflowError): assert int_too_small & i32_3 def test_coerce_to_and_from_int() -> None: for shift in range(0, 32): for sign in 1, -1: for delta in range(-5, 5): n = sign * (1 << shift) + delta if -(1 << 31) <= n < (1 << 31): x: i32 = n m: int = x assert m == n def test_explicit_conversion_to_i32() -> None: x = i32(5) assert x == 5 y = int() - 113 x = i32(y) assert x == -113 n64: i64 = 1733 x = i32(n64) assert x == 1733 n32: i32 = -1733 x = i32(n32) assert x == -1733 z = i32(x) assert z == -1733 a: i16 = int() + 19764 assert i32(a) == 19764 a = int() - 1 assert i32(a) == -1 def test_explicit_conversion_overflow() -> None: max_i32 = int() + 2**31 - 1 x = i32(max_i32) assert x == 2**31 - 1 assert int(x) == max_i32 min_i32 = int() - 2**31 y = i32(min_i32) assert y == -2**31 assert int(y) == min_i32 too_big = int() + 2**31 with assertRaises(OverflowError): x = i32(too_big) too_small = int() - 2**31 - 1 with assertRaises(OverflowError): x = i32(too_small) def test_i32_from_large_small_literal() -> None: x = i32(2**31 - 1) assert x == 2**31 - 1 x = i32(-2**31) assert x == -2**31 def test_i32_truncate_from_i64() -> None: large = i64(2**32 + 157 + int()) x = i32(large) assert x == 157 small = i64(-2**32 - 157 + int()) x = i32(small) assert x == -157 large2 = i64(2**31 + int()) x = i32(large2) assert x == -2**31 small2 = i64(-2**31 - 1 - int()) x = i32(small2) assert x == 2**31 - 1 def from_float(x: float) -> i32: return i32(x) def test_explicit_conversion_from_float() -> None: assert from_float(0.0) == 0 assert from_float(1.456) == 1 assert from_float(-1234.567) == -1234 assert from_float(2**31 - 1) == 2**31 - 1 assert from_float(-2**31) == -2**31 # The error message could be better, but this is acceptable with assertRaises(OverflowError, "int too large to convert to i32"): assert from_float(float(2**31)) with assertRaises(OverflowError, "int too large to convert to i32"): # One ulp below the lowest valid i64 value from_float(float(-2**31 - 2048)) def test_tuple_i32() -> None: a: i32 = 1 b: i32 = 2 t = (a, b) a, b = t assert a == 1 assert b == 2 x: Any = t tt: Tuple[i32, i32] = x assert tt == (1, 2) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-i64.test0000644000175100017510000010576715112307767017433 0ustar00runnerrunner[case testI64BasicOps] from typing import List, Any, Tuple, Union from mypy_extensions import i64, i32, i16 from testutil import assertRaises def inc(n: i64) -> i64: return n + 1 def test_inc() -> None: # Use int() to avoid constant folding n = 1 + int() m = 2 + int() assert inc(n) == m def min_ll(x: i64, y: i64) -> i64: if x < y: return x else: return y def test_min() -> None: assert min_ll(1 + int(), 2) == 1 assert min_ll(2 + int(), 1) == 1 assert min_ll(1 + int(), 1) == 1 assert min_ll(-2 + int(), 1) == -2 assert min_ll(1 + int(), -2) == -2 def eq(x: i64, y: i64) -> bool: return x == y def test_eq() -> None: assert eq(int(), int()) assert eq(5 + int(), 5 + int()) assert eq(-5 + int(), -5 + int()) assert not eq(int(), 1 + int()) assert not eq(5 + int(), 6 + int()) assert not eq(-5 + int(), -6 + int()) assert not eq(-5 + int(), 5 + int()) def test_comparisons() -> None: one: i64 = 1 + int() one2: i64 = 1 + int() two: i64 = 2 + int() assert one < two assert not (one < one2) assert not (two < one) assert two > one assert not (one > one2) assert not (one > two) assert one <= two assert one <= one2 assert not (two <= one) assert two >= one assert one >= one2 assert not (one >= two) assert one == one2 assert not (one == two) assert one != two assert not (one != one2) def is_true(x: i64) -> bool: if x: return True else: return False def is_true2(x: i64) -> bool: return bool(x) def is_false(x: i64) -> bool: if not x: return True else: return False def test_i64_as_bool() -> None: assert not is_true(0) assert not is_true2(0) assert is_false(0) for x in 1, 55, -1, -7, 1 << 40, -(1 << 50): assert is_true(x) assert is_true2(x) assert not is_false(x) def bool_as_i64(b: bool) -> i64: return b def test_bool_as_i64() -> None: assert bool_as_i64(False) == 0 assert bool_as_i64(True) == 1 def div_by_3(x: i64) -> i64: return x // 3 def div_by_neg_3(x: i64) -> i64: return x // -3 def div(x: i64, y: i64) -> i64: return x // y def test_divide_by_constant() -> None: for i in range(-1000, 1000): assert div_by_3(i) == i // 3 for i in range(-2**63, -2**63 + 1000): assert div_by_3(i) == i // 3 for i in range(2**63 - 1000, 2**63): assert div_by_3(i) == i // 3 def test_divide_by_negative_constant() -> None: for i in range(-1000, 1000): assert div_by_neg_3(i) == i // -3 for i in range(-2**63, -2**63 + 1000): assert div_by_neg_3(i) == i // -3 for i in range(2**63 - 1000, 2**63): assert div_by_neg_3(i) == i // -3 def test_divide_by_variable() -> None: values = (list(range(-50, 50)) + list(range(-2**63, -2**63 + 10)) + list(range(2**63 - 10, 2**63))) for x in values: for y in values: if y != 0: if x // y == 2**63: with assertRaises(OverflowError, "integer division overflow"): div(x, y) else: assert div(x, y) == x // y else: with assertRaises(ZeroDivisionError, "integer division or modulo by zero"): div(x, y) def mod_by_7(x: i64) -> i64: return x % 7 def mod_by_neg_7(x: i64) -> i64: return x // -7 def mod(x: i64, y: i64) -> i64: return x % y def test_mod_by_constant() -> None: for i in range(-1000, 1000): assert mod_by_7(i) == i % 7 for i in range(-2**63, -2**63 + 1000): assert mod_by_7(i) == i % 7 for i in range(2**63 - 1000, 2**63): assert mod_by_7(i) == i % 7 def test_mod_by_negative_constant() -> None: for i in range(-1000, 1000): assert mod_by_neg_7(i) == i // -7 for i in range(-2**63, -2**63 + 1000): assert mod_by_neg_7(i) == i // -7 for i in range(2**63 - 1000, 2**63): assert mod_by_neg_7(i) == i // -7 def test_mod_by_variable() -> None: values = (list(range(-50, 50)) + list(range(-2**63, -2**63 + 10)) + list(range(2**63 - 10, 2**63))) for x in values: for y in values: if y != 0: assert mod(x, y) == x % y else: with assertRaises(ZeroDivisionError, "integer division or modulo by zero"): mod(x, y) def get_item(a: List[i64], n: i64) -> i64: return a[n] def test_get_list_item() -> None: a = [1, 6, -2] assert get_item(a, 0) == 1 assert get_item(a, 1) == 6 assert get_item(a, 2) == -2 assert get_item(a, -1) == -2 assert get_item(a, -2) == 6 assert get_item(a, -3) == 1 with assertRaises(IndexError, "list index out of range"): get_item(a, 3) with assertRaises(IndexError, "list index out of range"): get_item(a, -4) # TODO: Very large/small values and indexes def test_simple_arithmetic_ops() -> None: zero: i64 = int() one: i64 = zero + 1 two: i64 = one + 1 neg_one: i64 = -one assert one + one == 2 assert one + two == 3 assert one + neg_one == 0 assert one - one == 0 assert one - two == -1 assert one * one == 1 assert one * two == 2 assert two * two == 4 assert two * neg_one == -2 assert neg_one * one == -1 assert neg_one * neg_one == 1 assert two * 0 == 0 assert 0 * two == 0 assert -one == -1 assert -two == -2 assert -neg_one == 1 assert -zero == 0 def test_bitwise_ops() -> None: x: i64 = 7997307308812232241 + int() y: i64 = 4333433528471475340 + int() z: i64 = -2462230749488444526 + int() zero: i64 = int() one: i64 = zero + 1 two: i64 = zero + 2 neg_one: i64 = -one assert x & y == 3179577071592752128 assert x & z == 5536089561888850448 assert z & z == z assert x & zero == 0 assert x | y == 9151163765690955453 assert x | z == -1013002565062733 assert z | z == z assert x | 0 == x assert x ^ y == 5971586694098203325 assert x ^ z == -5537102564453913181 assert z ^ z == 0 assert z ^ 0 == z assert x << one == -2452129456085087134 assert x << two == -4904258912170174268 assert z << two == 8597821075755773512 assert z << 0 == z assert x >> one == 3998653654406116120 assert x >> two == 1999326827203058060 assert z >> two == -615557687372111132 assert z >> 0 == z assert ~x == -7997307308812232242 assert ~z == 2462230749488444525 assert ~zero == -1 assert ~neg_one == 0 def test_coerce_to_and_from_int() -> None: for shift in range(0, 64): for sign in 1, -1: for delta in range(-5, 5): n = sign * (1 << shift) + delta if -(1 << 63) <= n < (1 << 63): x: i64 = n m: int = x assert m == n def test_coerce_to_and_from_int2() -> None: for shift in range(0, 64): for sign in 1, -1: for delta in range(-5, 5): n = sign * (1 << shift) + delta if -(1 << 63) <= n < (1 << 63): x: i64 = i64(n) m: int = int(x) assert m == n def test_explicit_conversion_to_i64() -> None: x = i64(5) assert x == 5 y = int() - 113 x = i64(y) assert x == -113 n32: i32 = 1733 x = i64(n32) assert x == 1733 n32 = -1733 x = i64(n32) assert x == -1733 z = i64(x) assert z == -1733 a: i16 = int() + 19764 assert i64(a) == 19764 a = int() - 1 assert i64(a) == -1 def test_explicit_conversion_overflow() -> None: max_i64 = int() + 2**63 - 1 x = i64(max_i64) assert x == 2**63 - 1 assert int(x) == max_i64 min_i64 = int() - 2**63 y = i64(min_i64) assert y == -2**63 assert int(y) == min_i64 too_big = int() + 2**63 with assertRaises(OverflowError): x = i64(too_big) too_small = int() - 2**63 - 1 with assertRaises(OverflowError): x = i64(too_small) def test_i64_from_large_small_literal() -> None: x = i64(2**63 - 1) assert x == 2**63 - 1 x = i64(-2**63) assert x == -2**63 def from_float(x: float) -> i64: return i64(x) def test_explicit_conversion_from_float() -> None: assert from_float(0.0) == 0 assert from_float(1.456) == 1 assert from_float(-1234.567) == -1234 # Subtract 1024 due to limited precision of 64-bit floats assert from_float(2**63 - 1024) == 2**63 - 1024 assert from_float(-2**63) == -2**63 # The error message could be better, but this is acceptable with assertRaises(OverflowError, "int too large to convert to i64"): assert from_float(float(2**63)) with assertRaises(OverflowError, "int too large to convert to i64"): # One ulp below the lowest valid i64 value from_float(float(-2**63 - 2048)) def from_str(s: str) -> i64: return i64(s) def test_explicit_conversion_from_str() -> None: assert from_str("0") == 0 assert from_str("1") == 1 assert from_str("-1234") == -1234 with assertRaises(ValueError): from_str("1.2") def from_str_with_base(s: str, base: int) -> i64: return i64(s, base) def test_explicit_conversion_from_str_with_base() -> None: assert from_str_with_base("101", 2) == 5 assert from_str_with_base("109", 10) == 109 assert from_str_with_base("-f0A", 16) == -3850 assert from_str_with_base("0x1a", 16) == 26 assert from_str_with_base("0X1A", 16) == 26 with assertRaises(ValueError): from_str_with_base("1.2", 16) def from_bool(b: bool) -> i64: return i64(b) def test_explicit_conversion_from_bool() -> None: assert from_bool(True) == 1 assert from_bool(False) == 0 class IntConv: def __init__(self, x: i64) -> None: self.x = x def __int__(self) -> i64: return self.x + 1 def test_explicit_conversion_from_instance() -> None: assert i64(IntConv(0)) == 1 assert i64(IntConv(12345)) == 12346 assert i64(IntConv(-23)) == -22 def test_explicit_conversion_from_any() -> None: # This can't be specialized a: Any = "101" assert i64(a, base=2) == 5 def test_tuple_i64() -> None: a: i64 = 1 b: i64 = 2 t = (a, b) a, b = t assert a == 1 assert b == 2 x: Any = t tt: Tuple[i64, i64] = x assert tt == (1, 2) def test_list_set_item() -> None: a: List[i64] = [0, 2, 6] z: i64 = int() a[z] = 1 assert a == [1, 2, 6] a[z + 2] = 9 assert a == [1, 2, 9] a[-(z + 1)] = 10 assert a == [1, 2, 10] a[-(z + 3)] = 3 assert a == [3, 2, 10] with assertRaises(IndexError): a[z + 3] = 0 with assertRaises(IndexError): a[-(z + 4)] = 0 assert a == [3, 2, 10] class C: def __init__(self, x: i64) -> None: self.x = x def test_attributes() -> None: i: i64 for i in range(-1000, 1000): c = C(i) assert c.x == i c.x = i + 1 assert c.x == i + 1 def test_mixed_comparisons() -> None: i64_3: i64 = int() + 3 int_5 = int() + 5 assert i64_3 < int_5 assert int_5 > i64_3 b = i64_3 > int_5 assert not b int_largest = int() + (1 << 63) - 1 assert int_largest > i64_3 int_smallest = int() - (1 << 63) assert i64_3 > int_smallest int_too_big = int() + (1 << 63) int_too_small = int() - (1 << 63) - 1 with assertRaises(OverflowError): assert i64_3 < int_too_big with assertRaises(OverflowError): assert int_too_big < i64_3 with assertRaises(OverflowError): assert i64_3 > int_too_small with assertRaises(OverflowError): assert int_too_small < i64_3 def test_mixed_comparisons_32bit() -> None: # Test edge cases on 32-bit platforms i64_3: i64 = int() + 3 int_5 = int() + 5 int_largest_short = int() + (1 << 30) - 1 int_largest_short_i64: i64 = int_largest_short assert int_largest_short > i64_3 int_smallest_short = int() - (1 << 30) int_smallest_short_i64: i64 = int_smallest_short assert i64_3 > int_smallest_short int_big = int() + (1 << 30) assert int_big > i64_3 int_small = int() - (1 << 30) - 1 assert i64_3 > int_small assert int_smallest_short_i64 > int_small assert int_largest_short_i64 < int_big def test_mixed_arithmetic_and_bitwise_ops() -> None: i64_3: i64 = int() + 3 int_5 = int() + 5 assert i64_3 + int_5 == 8 assert int_5 - i64_3 == 2 assert i64_3 << int_5 == 96 assert int_5 << i64_3 == 40 assert i64_3 ^ int_5 == 6 assert int_5 | i64_3 == 7 int_largest = int() + (1 << 63) - 1 assert int_largest - i64_3 == 9223372036854775804 int_smallest = int() - (1 << 63) assert int_smallest + i64_3 == -9223372036854775805 int_too_big = int() + (1 << 63) int_too_small = int() - (1 << 63) - 1 with assertRaises(OverflowError): assert i64_3 & int_too_big with assertRaises(OverflowError): assert int_too_small & i64_3 def test_for_loop() -> None: n: i64 = 0 for i in range(i64(5 + int())): n += i assert n == 10 n = 0 for i in range(i64(5)): n += i assert n == 10 n = 0 for i in range(i64(2 + int()), 5 + int()): n += i assert n == 9 n = 0 for i in range(2, i64(5 + int())): n += i assert n == 9 assert sum([x * x for x in range(i64(4 + int()))]) == 1 + 4 + 9 def narrow1(x: Union[str, i64]) -> i64: if isinstance(x, i64): return x return len(x) def narrow2(x: Union[str, i64]) -> i64: if isinstance(x, int): return x return len(x) def test_isinstance() -> None: assert narrow1(123) == 123 assert narrow1("foobar") == 6 assert narrow2(123) == 123 assert narrow2("foobar") == 6 [case testI64ErrorValuesAndUndefined] from typing import Any, Final, Tuple import sys from mypy_extensions import mypyc_attr, i64 from testutil import assertRaises def maybe_raise(n: i64, error: bool) -> i64: if error: raise ValueError() return n def test_error_value() -> None: for i in range(-1000, 1000): assert maybe_raise(i, False) == i with assertRaises(ValueError): maybe_raise(0, True) class C: def maybe_raise(self, n: i64, error: bool) -> i64: if error: raise ValueError() return n def test_method_error_value() -> None: for i in range(-1000, 1000): assert C().maybe_raise(i, False) == i with assertRaises(ValueError): C().maybe_raise(0, True) def maybe_raise_tuple(n: i64, error: bool) -> Tuple[i64, i64]: if error: raise ValueError() return n, n+ 1 def test_tuple_error_value() -> None: for i in range(-1000, 1000): assert maybe_raise_tuple(i, False) == (i, i + 1) with assertRaises(ValueError): maybe_raise_tuple(0, True) f: Any = maybe_raise_tuple for i in range(-1000, 1000): assert f(i, False) == (i, i + 1) with assertRaises(ValueError): f(0, True) def maybe_raise_tuple2(n: i64, error: bool) -> Tuple[i64, int]: if error: raise ValueError() return n, n+ 1 def test_tuple_error_value_2() -> None: for i in range(-1000, 1000): assert maybe_raise_tuple2(i, False) == (i, i + 1) with assertRaises(ValueError): maybe_raise_tuple(0, True) def test_unbox_int() -> None: for i in list(range(-1000, 1000)) + [-(1 << 63), (1 << 63) - 1]: o: Any = i x: i64 = i assert x == i y: i64 = o assert y == i def test_unbox_int_fails() -> None: o: Any = 'x' if sys.version_info[0] == 3 and sys.version_info[1] < 10: msg = "an integer is required (got type str)" else: msg = "'str' object cannot be interpreted as an integer" with assertRaises(TypeError, msg): x: i64 = o o2: Any = 1 << 63 with assertRaises(OverflowError, "int too large to convert to i64"): y: i64 = o2 o3: Any = -(1 << 63 + 1) with assertRaises(OverflowError, "int too large to convert to i64"): z: i64 = o3 class Uninit: x: i64 y: i64 = 0 z: i64 class Derived(Uninit): a: i64 = 1 b: i64 c: i64 = 2 class Derived2(Derived): h: i64 def test_uninitialized_attr() -> None: o = Uninit() assert o.y == 0 with assertRaises(AttributeError): o.x with assertRaises(AttributeError): o.z o.x = 1 assert o.x == 1 with assertRaises(AttributeError): o.z o.z = 2 assert o.z == 2 # This is the error value, but it's also a valid normal value MAGIC: Final = -113 def test_magic_value() -> None: o = Uninit() o.x = MAGIC assert o.x == MAGIC with assertRaises(AttributeError): o.z o.z = MAGIC assert o.x == MAGIC assert o.z == MAGIC def test_magic_value_via_any() -> None: o: Any = Uninit() with assertRaises(AttributeError): o.x with assertRaises(AttributeError): o.z o.x = MAGIC assert o.x == MAGIC with assertRaises(AttributeError): o.z o.z = MAGIC assert o.z == MAGIC def test_magic_value_and_inheritance() -> None: o = Derived2() o.x = MAGIC assert o.x == MAGIC with assertRaises(AttributeError): o.z with assertRaises(AttributeError): o.b with assertRaises(AttributeError): o.h o.z = MAGIC assert o.z == MAGIC with assertRaises(AttributeError): o.b with assertRaises(AttributeError): o.h o.h = MAGIC assert o.h == MAGIC with assertRaises(AttributeError): o.b o.b = MAGIC assert o.b == MAGIC @mypyc_attr(allow_interpreted_subclasses=True) class MagicInit: x: i64 = MAGIC def test_magic_value_as_initializer() -> None: o = MagicInit() assert o.x == MAGIC class ManyUninit: a1: i64 a2: i64 a3: i64 a4: i64 a5: i64 a6: i64 a7: i64 a8: i64 a9: i64 a10: i64 a11: i64 a12: i64 a13: i64 a14: i64 a15: i64 a16: i64 a17: i64 a18: i64 a19: i64 a20: i64 a21: i64 a22: i64 a23: i64 a24: i64 a25: i64 a26: i64 a27: i64 a28: i64 a29: i64 a30: i64 a31: i64 a32: i64 a33: i64 a34: i64 a35: i64 a36: i64 a37: i64 a38: i64 a39: i64 a40: i64 a41: i64 a42: i64 a43: i64 a44: i64 a45: i64 a46: i64 a47: i64 a48: i64 a49: i64 a50: i64 a51: i64 a52: i64 a53: i64 a54: i64 a55: i64 a56: i64 a57: i64 a58: i64 a59: i64 a60: i64 a61: i64 a62: i64 a63: i64 a64: i64 a65: i64 a66: i64 a67: i64 a68: i64 a69: i64 a70: i64 a71: i64 a72: i64 a73: i64 a74: i64 a75: i64 a76: i64 a77: i64 a78: i64 a79: i64 a80: i64 a81: i64 a82: i64 a83: i64 a84: i64 a85: i64 a86: i64 a87: i64 a88: i64 a89: i64 a90: i64 a91: i64 a92: i64 a93: i64 a94: i64 a95: i64 a96: i64 a97: i64 a98: i64 a99: i64 a100: i64 def test_many_uninitialized_attributes() -> None: o = ManyUninit() with assertRaises(AttributeError): o.a1 with assertRaises(AttributeError): o.a10 with assertRaises(AttributeError): o.a20 with assertRaises(AttributeError): o.a30 with assertRaises(AttributeError): o.a31 with assertRaises(AttributeError): o.a32 with assertRaises(AttributeError): o.a33 with assertRaises(AttributeError): o.a40 with assertRaises(AttributeError): o.a50 with assertRaises(AttributeError): o.a60 with assertRaises(AttributeError): o.a62 with assertRaises(AttributeError): o.a63 with assertRaises(AttributeError): o.a64 with assertRaises(AttributeError): o.a65 with assertRaises(AttributeError): o.a80 with assertRaises(AttributeError): o.a100 o.a30 = MAGIC assert o.a30 == MAGIC o.a31 = MAGIC assert o.a31 == MAGIC o.a32 = MAGIC assert o.a32 == MAGIC o.a33 = MAGIC assert o.a33 == MAGIC with assertRaises(AttributeError): o.a34 o.a62 = MAGIC assert o.a62 == MAGIC o.a63 = MAGIC assert o.a63 == MAGIC o.a64 = MAGIC assert o.a64 == MAGIC o.a65 = MAGIC assert o.a65 == MAGIC with assertRaises(AttributeError): o.a66 class BaseNoBitmap: x: int = 5 class DerivedBitmap(BaseNoBitmap): # Subclass needs a bitmap, but base class doesn't have it. y: i64 def test_derived_adds_bitmap() -> None: d = DerivedBitmap() d.x = 643 b: BaseNoBitmap = d assert b.x == 643 class Delete: __deletable__ = ['x', 'y'] x: i64 y: i64 def test_del() -> None: o = Delete() o.x = MAGIC o.y = -1 assert o.x == MAGIC assert o.y == -1 del o.x with assertRaises(AttributeError): o.x assert o.y == -1 del o.y with assertRaises(AttributeError): o.y o.x = 5 assert o.x == 5 with assertRaises(AttributeError): o.y del o.x with assertRaises(AttributeError): o.x class UndefinedTuple: def __init__(self, x: i64, y: i64) -> None: if x != 0: self.t = (x, y) def test_undefined_native_int_tuple() -> None: o = UndefinedTuple(MAGIC, MAGIC) assert o.t[0] == MAGIC assert o.t[1] == MAGIC o = UndefinedTuple(0, 0) with assertRaises(AttributeError): o.t o = UndefinedTuple(-13, 45) assert o.t == (-13, 45) def test_undefined_native_int_tuple_via_any() -> None: cls: Any = UndefinedTuple o: Any = cls(MAGIC, MAGIC) assert o.t[0] == MAGIC assert o.t[1] == MAGIC o = cls(0, 0) with assertRaises(AttributeError): o.t o = UndefinedTuple(-13, 45) assert o.t == (-13, 45) [case testI64DefaultArgValues] from typing import Any, Final, Iterator, Tuple MAGIC: Final = -113 from mypy_extensions import i64 def f(x: i64, y: i64 = 5) -> i64: return x + y def test_simple_default_arg() -> None: assert f(3) == 8 assert f(4, 9) == 13 assert f(5, MAGIC) == -108 for i in range(-1000, 1000): assert f(1, i) == 1 + i f2: Any = f assert f2(3) == 8 assert f2(4, 9) == 13 assert f2(5, MAGIC) == -108 def g(a: i64, b: i64 = 1, c: int = 2, d: i64 = 3) -> i64: return a + b + c + d def test_two_default_args() -> None: assert g(10) == 16 assert g(10, 2) == 17 assert g(10, 2, 3) == 18 assert g(10, 2, 3, 4) == 19 g2: Any = g assert g2(10) == 16 assert g2(10, 2) == 17 assert g2(10, 2, 3) == 18 assert g2(10, 2, 3, 4) == 19 class C: def __init__(self) -> None: self.i: i64 = 1 def m(self, a: i64, b: i64 = 1, c: int = 2, d: i64 = 3) -> i64: return self.i + a + b + c + d class D(C): def m(self, a: i64, b: i64 = 2, c: int = 3, d: i64 = 4) -> i64: return self.i + a + b + c + d def mm(self, a: i64 = 2, b: i64 = 1) -> i64: return self.i + a + b @staticmethod def s(a: i64 = 2, b: i64 = 1) -> i64: return a + b @classmethod def c(cls, a: i64 = 2, b: i64 = 3) -> i64: assert cls is D return a + b def test_method_default_args() -> None: a = [C(), D()] assert a[0].m(4) == 11 d = D() assert d.mm() == 4 assert d.mm(5) == 7 assert d.mm(MAGIC) == MAGIC + 2 assert d.mm(b=5) == 8 assert D.mm(d) == 4 assert D.mm(d, 6) == 8 assert D.mm(d, MAGIC) == MAGIC + 2 assert D.mm(d, b=6) == 9 dd: Any = d assert dd.mm() == 4 assert dd.mm(5) == 7 assert dd.mm(MAGIC) == MAGIC + 2 assert dd.mm(b=5) == 8 def test_static_method_default_args() -> None: d = D() assert d.s() == 3 assert d.s(5) == 6 assert d.s(MAGIC) == MAGIC + 1 assert d.s(5, 6) == 11 assert D.s() == 3 assert D.s(5) == 6 assert D.s(MAGIC) == MAGIC + 1 assert D.s(5, 6) == 11 dd: Any = d assert dd.s() == 3 assert dd.s(5) == 6 assert dd.s(MAGIC) == MAGIC + 1 assert dd.s(5, 6) == 11 def test_class_method_default_args() -> None: d = D() assert d.c() == 5 assert d.c(5) == 8 assert d.c(MAGIC) == MAGIC + 3 assert d.c(b=5) == 7 assert D.c() == 5 assert D.c(5) == 8 assert D.c(MAGIC) == MAGIC + 3 assert D.c(b=5) == 7 dd: Any = d assert dd.c() == 5 assert dd.c(5) == 8 assert dd.c(MAGIC) == MAGIC + 3 assert dd.c(b=5) == 7 class Init: def __init__(self, x: i64 = 2, y: i64 = 5) -> None: self.x = x self.y = y def test_init_default_args() -> None: o = Init() assert o.x == 2 assert o.y == 5 o = Init(7, 8) assert o.x == 7 assert o.y == 8 o = Init(4) assert o.x == 4 assert o.y == 5 o = Init(MAGIC, MAGIC) assert o.x == MAGIC assert o.y == MAGIC o = Init(3, MAGIC) assert o.x == 3 assert o.y == MAGIC o = Init(MAGIC, 11) assert o.x == MAGIC assert o.y == 11 o = Init(MAGIC) assert o.x == MAGIC assert o.y == 5 o = Init(y=MAGIC) assert o.x == 2 assert o.y == MAGIC def kw_only(*, a: i64 = 1, b: int = 2, c: i64 = 3) -> i64: return a + b + c * 2 def test_kw_only_default_args() -> None: assert kw_only() == 9 assert kw_only(a=2) == 10 assert kw_only(b=4) == 11 assert kw_only(c=11) == 25 assert kw_only(a=2, c=4) == 12 assert kw_only(c=4, a=2) == 12 kw_only2: Any = kw_only assert kw_only2() == 9 assert kw_only2(a=2) == 10 assert kw_only2(b=4) == 11 assert kw_only2(c=11) == 25 assert kw_only2(a=2, c=4) == 12 assert kw_only2(c=4, a=2) == 12 def tuples(t: Tuple[i64, i64] = (MAGIC, MAGIC)) -> i64: return t[0] + t[1] def test_tuple_arg_defaults() -> None: assert tuples() == 2 * MAGIC assert tuples((1, 2)) == 3 assert tuples((MAGIC, MAGIC)) == 2 * MAGIC tuples2: Any = tuples assert tuples2() == 2 * MAGIC assert tuples2((1, 2)) == 3 assert tuples2((MAGIC, MAGIC)) == 2 * MAGIC class TupleInit: def __init__(self, t: Tuple[i64, i64] = (MAGIC, MAGIC)) -> None: self.t = t[0] + t[1] def test_tuple_init_arg_defaults() -> None: assert TupleInit().t == 2 * MAGIC assert TupleInit((1, 2)).t == 3 assert TupleInit((MAGIC, MAGIC)).t == 2 * MAGIC o: Any = TupleInit assert o().t == 2 * MAGIC assert o((1, 2)).t == 3 assert o((MAGIC, MAGIC)).t == 2 * MAGIC def many_args( a1: i64 = 0, a2: i64 = 1, a3: i64 = 2, a4: i64 = 3, a5: i64 = 4, a6: i64 = 5, a7: i64 = 6, a8: i64 = 7, a9: i64 = 8, a10: i64 = 9, a11: i64 = 10, a12: i64 = 11, a13: i64 = 12, a14: i64 = 13, a15: i64 = 14, a16: i64 = 15, a17: i64 = 16, a18: i64 = 17, a19: i64 = 18, a20: i64 = 19, a21: i64 = 20, a22: i64 = 21, a23: i64 = 22, a24: i64 = 23, a25: i64 = 24, a26: i64 = 25, a27: i64 = 26, a28: i64 = 27, a29: i64 = 28, a30: i64 = 29, a31: i64 = 30, a32: i64 = 31, a33: i64 = 32, a34: i64 = 33, ) -> i64: return a1 + a2 + a3 + a4 + a5 + a6 + a7 + a8 + a9 + a10 + a11 + a12 + a13 + a14 + a15 + a16 + a17 + a18 + a19 + a20 + a21 + a22 + a23 + a24 + a25 + a26 + a27 + a28 + a29 + a30 + a31 + a32 + a33 + a34 def test_many_args() -> None: assert many_args() == 561 assert many_args(a1=100) == 661 assert many_args(a2=101) == 661 assert many_args(a15=114) == 661 assert many_args(a31=130) == 661 assert many_args(a32=131) == 661 assert many_args(a33=232) == 761 assert many_args(a34=333) == 861 assert many_args(a1=100, a33=232) == 861 f: Any = many_args assert f() == 561 assert f(a1=100) == 661 assert f(a2=101) == 661 assert f(a15=114) == 661 assert f(a31=130) == 661 assert f(a32=131) == 661 assert f(a33=232) == 761 assert f(a34=333) == 861 assert f(a1=100, a33=232) == 861 def test_nested_function_defaults() -> None: a: i64 = 1 def nested(x: i64 = 2, y: i64 = 3) -> i64: return a + x + y assert nested() == 6 assert nested(3) == 7 assert nested(y=5) == 8 assert nested(MAGIC) == MAGIC + 4 a = 11 assert nested() == 16 def test_nested_function_defaults_via_any() -> None: a: i64 = 1 def nested_native(x: i64 = 2, y: i64 = 3) -> i64: return a + x + y nested: Any = nested_native assert nested() == 6 assert nested(3) == 7 assert nested(y=5) == 8 assert nested(MAGIC) == MAGIC + 4 a = 11 assert nested() == 16 def gen(x: i64 = 1, y: i64 = 2) -> Iterator[i64]: yield x + y def test_generator() -> None: g = gen() assert next(g) == 3 g = gen(2) assert next(g) == 4 g = gen(2, 3) assert next(g) == 5 a: Any = gen g = a() assert next(g) == 3 g = a(2) assert next(g) == 4 g = a(2, 3) assert next(g) == 5 def magic_default(x: i64 = MAGIC) -> i64: return x def test_magic_default() -> None: assert magic_default() == MAGIC assert magic_default(1) == 1 assert magic_default(MAGIC) == MAGIC a: Any = magic_default assert a() == MAGIC assert a(1) == 1 assert a(MAGIC) == MAGIC [case testI64UndefinedLocal] from typing import Final from mypy_extensions import i64, i32 from testutil import assertRaises MAGIC: Final = -113 def test_conditionally_defined_local() -> None: x = not int() if x: y: i64 = 5 z: i32 = 6 assert y == 5 assert z == 6 def test_conditionally_undefined_local() -> None: x = int() if x: y: i64 = 5 z: i32 = 6 else: ok: i64 = 7 assert ok == 7 try: print(y) except NameError as e: assert str(e) == 'local variable "y" referenced before assignment' else: assert False try: print(z) except NameError as e: assert str(e) == 'local variable "z" referenced before assignment' else: assert False def test_assign_error_value_conditionally() -> None: x = int() if not x: y: i64 = MAGIC z: i32 = MAGIC assert y == MAGIC assert z == MAGIC def tuple_case(x: i64, y: i64) -> None: if not int(): t = (x, y) assert t == (x, y) if int(): t2 = (x, y) try: print(t2) except NameError as e: assert str(e) == 'local variable "t2" referenced before assignment' else: assert False def test_conditionally_undefined_tuple() -> None: tuple_case(2, 3) tuple_case(-2, -3) tuple_case(MAGIC, MAGIC) def test_many_locals() -> None: x = int() if x: a0: i64 = 0 a1: i64 = 1 a2: i64 = 2 a3: i64 = 3 a4: i64 = 4 a5: i64 = 5 a6: i64 = 6 a7: i64 = 7 a8: i64 = 8 a9: i64 = 9 a10: i64 = 10 a11: i64 = 11 a12: i64 = 12 a13: i64 = 13 a14: i64 = 14 a15: i64 = 15 a16: i64 = 16 a17: i64 = 17 a18: i64 = 18 a19: i64 = 19 a20: i64 = 20 a21: i64 = 21 a22: i64 = 22 a23: i64 = 23 a24: i64 = 24 a25: i64 = 25 a26: i64 = 26 a27: i64 = 27 a28: i64 = 28 a29: i64 = 29 a30: i64 = 30 a31: i64 = 31 a32: i64 = 32 a33: i64 = 33 with assertRaises(UnboundLocalError): print(a0) with assertRaises(UnboundLocalError): print(a31) with assertRaises(UnboundLocalError): print(a32) with assertRaises(UnboundLocalError): print(a33) a0 = 5 assert a0 == 5 with assertRaises(UnboundLocalError): print(a31) with assertRaises(UnboundLocalError): print(a32) with assertRaises(UnboundLocalError): print(a33) a32 = 55 assert a0 == 5 assert a32 == 55 with assertRaises(UnboundLocalError): print(a31) with assertRaises(UnboundLocalError): print(a33) a31 = 10 a33 = 20 assert a0 == 5 assert a31 == 10 assert a32 == 55 assert a33 == 20 [case testI64GlueMethodsAndInheritance] from typing import Final, Any from mypy_extensions import i64, trait from testutil import assertRaises MAGIC: Final = -113 class Base: def foo(self) -> i64: return 5 def bar(self, x: i64 = 2) -> i64: return x + 1 def hoho(self, x: i64) -> i64: return x - 1 class Derived(Base): def foo(self, x: i64 = 5) -> i64: return x + 10 def bar(self, x: i64 = 3, y: i64 = 20) -> i64: return x + y + 2 def hoho(self, x: i64 = 7) -> i64: return x - 2 def test_derived_adds_bitmap() -> None: b: Base = Derived() assert b.foo() == 15 def test_derived_adds_another_default_arg() -> None: b: Base = Derived() assert b.bar() == 25 assert b.bar(1) == 23 assert b.bar(MAGIC) == MAGIC + 22 def test_derived_switches_arg_to_have_default() -> None: b: Base = Derived() assert b.hoho(5) == 3 assert b.hoho(MAGIC) == MAGIC - 2 @trait class T: @property def x(self) -> i64: ... @property def y(self) -> i64: ... class C(T): x: i64 = 1 y: i64 = 4 def test_read_only_property_in_trait_implemented_as_attribute() -> None: c = C() c.x = 5 assert c.x == 5 c.x = MAGIC assert c.x == MAGIC assert c.y == 4 c.y = 6 assert c.y == 6 t: T = C() assert t.y == 4 t = c assert t.x == MAGIC c.x = 55 assert t.x == 55 assert t.y == 6 a: Any = c assert a.x == 55 assert a.y == 6 a.x = 7 a.y = 8 assert a.x == 7 assert a.y == 8 class D(T): xx: i64 @property def x(self) -> i64: return self.xx @property def y(self) -> i64: raise TypeError def test_read_only_property_in_trait_implemented_as_property() -> None: d = D() d.xx = 5 assert d.x == 5 d.xx = MAGIC assert d.x == MAGIC with assertRaises(TypeError): d.y t: T = d assert t.x == MAGIC d.xx = 6 assert t.x == 6 with assertRaises(TypeError): t.y @trait class T2: x: i64 y: i64 class C2(T2): pass def test_inherit_trait_attribute() -> None: c = C2() c.x = 5 assert c.x == 5 c.x = MAGIC assert c.x == MAGIC with assertRaises(AttributeError): c.y c.y = 6 assert c.y == 6 t: T2 = C2() with assertRaises(AttributeError): t.y t = c assert t.x == MAGIC c.x = 55 assert t.x == 55 assert t.y == 6 a: Any = c assert a.x == 55 assert a.y == 6 a.x = 7 a.y = 8 assert a.x == 7 assert a.y == 8 class D2(T2): x: i64 y: i64 = 4 def test_implement_trait_attribute() -> None: d = D2() d.x = 5 assert d.x == 5 d.x = MAGIC assert d.x == MAGIC assert d.y == 4 d.y = 6 assert d.y == 6 t: T2 = D2() assert t.y == 4 t = d assert t.x == MAGIC d.x = 55 assert t.x == 55 assert t.y == 6 a: Any = d assert a.x == 55 assert a.y == 6 a.x = 7 a.y = 8 assert a.x == 7 assert a.y == 8 class DunderErr: def __contains__(self, i: i64) -> bool: raise IndexError() def test_dunder_arg_check() -> None: o: Any = DunderErr() with assertRaises(TypeError): 'x' in o with assertRaises(TypeError): 2**63 in o with assertRaises(IndexError): 1 in o ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-imports.test0000644000175100017510000001252315112307767020511 0ustar00runnerrunner# Test cases for imports and related features (compile and run) [case testImports] import testmodule import pkg2.mod import pkg2.mod2 as mm2 def f(x: int) -> int: return testmodule.factorial(5) def g(x: int) -> int: from welp import foo return foo(x) def test_import_basics() -> None: assert f(5) == 120 assert g(5) == 5 assert "pkg2.mod" not in globals(), "the root module should be in globals!" assert pkg2.mod.x == 1 assert "mod2" not in globals(), "pkg2.mod2 is aliased to mm2!" assert mm2.y == 2 def test_import_submodule_within_function() -> None: import pkg.mod assert pkg.x == 1 assert pkg.mod.y == 2 assert "pkg.mod" not in globals(), "the root module should be in globals!" def test_import_as_submodule_within_function() -> None: import pkg.mod as mm assert mm.y == 2 assert "pkg.mod" not in globals(), "the root module should be in globals!" # TODO: Don't add local imports to globals() # # def test_local_import_not_in_globals() -> None: # import nob # assert 'nob' not in globals() def test_import_module_without_stub_in_function() -> None: # 'psutil' must not have a stub in typeshed for this test case import psutil # type: ignore # TODO: We shouldn't add local imports to globals() # assert 'psutil' not in globals() assert isinstance(psutil.__name__, str) def test_import_as_module_without_stub_in_function() -> None: # 'psutil' must not have a stub in typeshed for this test case import psutil as pp # type: ignore assert 'psutil' not in globals() # TODO: We shouldn't add local imports to globals() # assert 'pp' not in globals() assert isinstance(pp.__name__, str) [file testmodule.py] def factorial(x: int) -> int: if x == 0: return 1 else: return x * factorial(x-1) [file welp.py] def foo(x: int) -> int: return x [file pkg/__init__.py] x = 1 [file pkg/mod.py] y = 2 [file pkg2/__init__.py] [file pkg2/mod.py] x = 1 [file pkg2/mod2.py] y = 2 [file nob.py] z = 3 [case testImportMissing] # The unchecked module is configured by the test harness to not be # picked up by mypy, so we can test that we do that right thing when # calling library modules without stubs. import unchecked # type: ignore import unchecked as lol # type: ignore assert unchecked.x == 10 assert lol.x == 10 [file unchecked.py] x = 10 [file driver.py] import native [case testFromImport] from testmodule import g def f(x: int) -> int: return g(x) [file testmodule.py] def g(x: int) -> int: return x + 1 [file driver.py] from native import f assert f(1) == 2 [case testFromImportWithUntypedModule] # avoid including an __init__.py and use type: ignore to test what happens # if mypy can't tell if mod isn't a module from pkg import mod # type: ignore def test_import() -> None: assert mod.h(8) == 24 [file pkg/mod.py] def h(x): return x * 3 [case testFromImportWithKnownModule] from pkg import mod1 from pkg import mod2 as modmod from pkg.mod2 import g as gg from pkg.mod3 import h as h2, g as g2 def test_import() -> None: assert mod1.h(8) == 24 assert modmod.g(1) == 1 assert gg(2) == 2 assert h2(10) == 12 assert g2(10) == 13 [file pkg/__init__.py] [file pkg/mod1.py] def h(x: int) -> int: return x * 3 [file pkg/mod2.py] def g(x: int) -> int: return x [file pkg/mod3.py] def h(x: int) -> int: return x + 2 def g(x: int) -> int: return x + 3 [case testFromImportWithUnKnownModule] def test_import() -> None: try: from pkg import a # type: ignore except ImportError: pass [file pkg/__init__.py] [case testMultipleFromImportsWithSamePackageButDifferentModules] from pkg import a from pkg import b def test_import() -> None: assert a.g() == 4 assert b.h() == 39 [file pkg/__init__.py] [file pkg/a.py] def g() -> int: return 4 [file pkg/b.py] def h() -> int: return 39 [case testReexport] # Test that we properly handle accessing values that have been reexported import a def f(x: int) -> int: return a.g(x) + a.foo + a.b.foo whatever = a.A() [file a.py] from b import g as g, A as A, foo as foo import b [file b.py] def g(x: int) -> int: return x + 1 class A: pass foo = 20 [file driver.py] from native import f, whatever import b assert f(20) == 61 assert isinstance(whatever, b.A) [case testAssignModule] import a assert a.x == 20 a.x = 10 [file a.py] x = 20 [file driver.py] import native [case testLazyImport] import shared def do_import() -> None: import a def test_lazy() -> None: assert shared.counter == 0 do_import() assert shared.counter == 1 [file a.py] import shared shared.counter += 1 [file shared.py] counter = 0 [case testDelayedImport] def test_delayed() -> None: import a print("inbetween") import b [file a.py] print("first") [file b.py] print("last") [out] first inbetween last [case testImportErrorLineNumber] def test_error() -> None: try: import enum import dataclasses, missing # type: ignore[import] except ImportError as e: line = e.__traceback__.tb_lineno # type: ignore[attr-defined] assert line == 4, f"traceback's line number is {line}, expected 4" [case testImportGroupIsolation] def func() -> None: import second def test_isolation() -> None: import first func() [file first.py] print("first") [file second.py] print("second") [out] first second ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-integers.test0000644000175100017510000003751415112307767020643 0ustar00runnerrunner# Test cases for integers (compile and run) [case testInc] def inc(x: int) -> int: return x + 1 [file driver.py] from native import inc print(inc(3)) print(inc(-5)) print(inc(10**20)) [out] 4 -4 100000000000000000001 [case testCount] def count(n: int) -> int: i = 1 while i <= n: i = i + 1 return i [file driver.py] from native import count print(count(0)) print(count(1)) print(count(5)) [out] 1 2 6 [case testIntMathOps] # This tests integer math things that are either easier to test in Python than # in our C tests or are tested here because (for annoying reasons) we don't run # the C unit tests in our 32-bit CI. def multiply(x: int, y: int) -> int: return x * y # these stringify their outputs because that will catch if exceptions are mishandled def floor_div(x: int, y: int) -> str: return str(x // y) def remainder(x: int, y: int) -> str: return str(x % y) [file driver.py] from native import multiply, floor_div, remainder def test_multiply(x, y): assert multiply(x, y) == x * y def test_floor_div(x, y): assert floor_div(x, y) == str(x // y) def test_remainder(x, y): assert remainder(x, y) == str(x % y) test_multiply(10**6, 10**6) test_multiply(2**15, 2**15-1) test_multiply(2**14, 2**14) test_multiply(10**12, 10**12) test_multiply(2**30, 2**30-1) test_multiply(2**29, 2**29) test_floor_div(-2**62, -1) test_floor_div(-2**30, -1) try: floor_div(10, 0) except ZeroDivisionError: pass else: assert False, "Expected ZeroDivisionError" test_remainder(-2**62, -1) test_remainder(-2**30, -1) try: remainder(10, 0) except ZeroDivisionError: pass else: assert False, "Expected ZeroDivisionError" [case testBigIntLiteral] def big_int() -> None: a_62_bit = 4611686018427387902 max_62_bit = 4611686018427387903 b_63_bit = 4611686018427387904 c_63_bit = 9223372036854775806 max_63_bit = 9223372036854775807 d_64_bit = 9223372036854775808 max_32_bit = 2147483647 max_32_bit_plus1 = 2147483648 max_31_bit = 1073741823 max_31_bit_plus1 = 1073741824 neg = -1234567 min_signed_63_bit = -4611686018427387904 underflow = -4611686018427387905 min_signed_64_bit = -9223372036854775808 min_signed_31_bit = -1073741824 min_signed_31_bit_plus1 = -1073741823 min_signed_31_bit_minus1 = -1073741825 min_signed_32_bit = -2147483648 print(a_62_bit) print(max_62_bit) print(b_63_bit) print(c_63_bit) print(max_63_bit) print(d_64_bit) print('==') print(max_32_bit) print(max_32_bit_plus1) print(max_31_bit) print(max_31_bit_plus1) print(neg) print(min_signed_63_bit) print(underflow) print(min_signed_64_bit) print(min_signed_31_bit) print(min_signed_31_bit_plus1) print(min_signed_31_bit_minus1) print(min_signed_32_bit) [file driver.py] from native import big_int big_int() [out] 4611686018427387902 4611686018427387903 4611686018427387904 9223372036854775806 9223372036854775807 9223372036854775808 == 2147483647 2147483648 1073741823 1073741824 -1234567 -4611686018427387904 -4611686018427387905 -9223372036854775808 -1073741824 -1073741823 -1073741825 -2147483648 [case testNeg] def neg(x: int) -> int: return -x [file driver.py] from native import neg assert neg(5) == -5 assert neg(-5) == 5 assert neg(1073741823) == -1073741823 assert neg(-1073741823) == 1073741823 assert neg(1073741824) == -1073741824 assert neg(-1073741824) == 1073741824 assert neg(2147483647) == -2147483647 assert neg(-2147483647) == 2147483647 assert neg(2147483648) == -2147483648 assert neg(-2147483648) == 2147483648 assert neg(4611686018427387904) == -4611686018427387904 assert neg(-4611686018427387904) == 4611686018427387904 assert neg(9223372036854775807) == -9223372036854775807 assert neg(-9223372036854775807) == 9223372036854775807 assert neg(9223372036854775808) == -9223372036854775808 assert neg(-9223372036854775808) == 9223372036854775808 [case testIsinstanceIntAndNotBool] def test_isinstance_int_and_not_bool(value: object) -> bool: return isinstance(value, int) and not isinstance(value, bool) [file driver.py] from native import test_isinstance_int_and_not_bool assert test_isinstance_int_and_not_bool(True) == False assert test_isinstance_int_and_not_bool(1) == True [case testIntOps] from typing import Any from testutil import assertRaises def check_and(x: int, y: int) -> None: # eval() can be trusted to calculate expected result expected = eval('{} & {}'.format(x, y)) actual = x & y assert actual == expected, '{} & {}: got {}, expected {}'.format(x, y, actual, expected) def check_or(x: int, y: int) -> None: # eval() can be trusted to calculate expected result expected = eval('{} | {}'.format(x, y)) actual = x | y assert actual == expected, '{} | {}: got {}, expected {}'.format(x, y, actual, expected) def check_xor(x: int, y: int) -> None: # eval() can be trusted to calculate expected result expected = eval('{} ^ {}'.format(x, y)) actual = x ^ y assert actual == expected, '{} ^ {}: got {}, expected {}'.format(x, y, actual, expected) def check_bitwise(x: int, y: int) -> None: for l, r in (x, y), (y, x): for ll, rr in (l, r), (-l, r), (l, -r), (-l, -r): check_and(ll, rr) check_or(ll, rr) check_xor(ll, rr) SHIFT = 30 DIGIT0a = 615729753 DIGIT0b = 832796681 DIGIT1a = 744342356 << SHIFT DIGIT1b = 321006080 << SHIFT DIGIT2a = 643582106 << (SHIFT * 2) DIGIT2b = 656420725 << (SHIFT * 2) DIGIT50 = 315723472 << (SHIFT * 50) DIGIT100a = 1020652627 << (SHIFT * 100) DIGIT100b = 923752451 << (SHIFT * 100) BIG_SHORT = 3491190729721336556 MAX_SHORT = (1 << 62) - 1 MIN_SHORT = -(1 << 62) MAX_SHORT_32 = (1 << 30) - 1 MIN_SHORT_32 = -(1 << 30) def test_and_or_xor() -> None: check_bitwise(0, 0) check_bitwise(0, 1) check_bitwise(1, 1) check_bitwise(DIGIT0a, DIGIT0b) check_bitwise(DIGIT1a, DIGIT1b) check_bitwise(DIGIT2a, DIGIT2b) check_bitwise(DIGIT100a, DIGIT100b) check_bitwise(DIGIT0a, DIGIT0b + DIGIT2a) check_bitwise(DIGIT0a, DIGIT0b + DIGIT50) check_bitwise(DIGIT50 + DIGIT1a, DIGIT100a + DIGIT2b) check_bitwise(BIG_SHORT, DIGIT0a) check_bitwise(BIG_SHORT, DIGIT0a + DIGIT1a) check_bitwise(BIG_SHORT, DIGIT0a + DIGIT1a + DIGIT2a) check_bitwise(BIG_SHORT, DIGIT0a + DIGIT1a + DIGIT2a + DIGIT50) for x in range(-25, 25): for y in range(-25, 25): check_bitwise(x, y) def test_bitwise_inplace() -> None: # Basic sanity checks; these should use the same code as the non-in-place variants for x, y in (DIGIT0a, DIGIT1a), (DIGIT2a, DIGIT0a + DIGIT2b): n = x n &= y assert n == x & y n = x n |= y assert n == x | y n = x n ^= y assert n == x ^ y def check_invert(x: int) -> None: # Use eval() as the source of truth assert ~x == eval('~{}'.format(x)) assert ~(-x) == eval('~({})'.format(-x)) def test_invert() -> None: check_invert(0) check_invert(1) check_invert(DIGIT0a) check_invert(DIGIT0a + DIGIT1a) check_invert(DIGIT0a + DIGIT1a + DIGIT2a) check_invert(DIGIT0a + DIGIT1a + DIGIT2a + DIGIT50) check_invert(BIG_SHORT) for delta in -1, 0, 1: check_invert(MAX_SHORT + delta) check_invert(MIN_SHORT + delta) check_invert(MAX_SHORT_32 + delta) check_invert(MIN_SHORT_32 + delta) def check_right_shift(x: int, n: int) -> None: if n < 0: try: x >> n except ValueError: return assert False, "no exception raised" # Use eval() as the source of truth expected = eval('{} >> {}'.format(x, n)) actual = x >> n assert actual == expected, "{} >> {}: got {}, expected {}".format(x, n, actual, expected) def test_right_shift() -> None: for x in 0, 1, 1235, DIGIT0a, DIGIT0a + DIGIT1a, DIGIT0a + DIGIT50: for n in 0, 1, 2, 3, 4, 10, 40, 10000, DIGIT1a, -1, -1334444, -DIGIT1a: check_right_shift(x, n) check_right_shift(-x, n) x = DIGIT0a x >>= 1 assert x == DIGIT0a >> 1 x = DIGIT50 x >>= 5 assert x == DIGIT50 >> 5 for i in range(256): check_right_shift(1, i) check_right_shift(137, i) check_right_shift(MAX_SHORT, i) check_right_shift(MAX_SHORT_32, i) check_right_shift(MAX_SHORT + 1, i) check_right_shift(MAX_SHORT_32 + 1, i) for x in 1, DIGIT50: try: # It's okay if this raises an exception assert x >> DIGIT2a == 0 except Exception: pass try: x >> -DIGIT2a assert False except Exception: pass def check_left_shift(x: int, n: int) -> None: if n < 0: try: x << n except ValueError: return assert False, "no exception raised" # Use eval() as the source of truth expected = eval('{} << {}'.format(x, n)) actual = x << n assert actual == expected, "{} << {}: got {}, expected {}".format(x, n, actual, expected) def test_left_shift() -> None: for x in 0, 1, 1235, DIGIT0a, DIGIT0a + DIGIT1a, DIGIT0a + DIGIT50: for n in 0, 1, 2, 10, 40, 10000, -1, -1334444: check_left_shift(x, n) check_left_shift(-x, n) x = DIGIT0a x <<= 1 assert x == DIGIT0a << 1 x = DIGIT50 x <<= 5 assert x == DIGIT50 << 5 for shift in range(256): check_left_shift(1, shift) check_left_shift(137, shift) for x in 1, DIGIT50: try: x << DIGIT50 assert False except Exception: pass try: x << -DIGIT50 assert False except Exception: pass def is_true(x: int) -> bool: if x: return True else: return False def is_true2(x: int) -> bool: return bool(x) def is_false(x: int) -> bool: if not x: return True else: return False def test_int_as_bool() -> None: assert not is_true(0) assert not is_true2(0) assert is_false(0) for x in 1, 55, -1, -7, 1 << 50, 1 << 101, -(1 << 50), -(1 << 101): assert is_true(x) assert is_true2(x) assert not is_false(x) def bool_as_int(b: bool) -> int: return b def bool_as_int2(b: bool) -> int: return int(b) def test_bool_as_int() -> None: assert bool_as_int(False) == 0 assert bool_as_int(True) == 1 assert bool_as_int2(False) == 0 assert bool_as_int2(True) == 1 def no_op_conversion(n: int) -> int: return int(n) def test_no_op_conversion() -> None: for x in 1, 55, -1, -7, 1 << 50, 1 << 101, -(1 << 50), -(1 << 101): assert no_op_conversion(x) == x def test_floor_divide() -> None: for x in range(-100, 100): for y in range(-100, 100): if y != 0: assert x // y == getattr(x, "__floordiv__")(y) def test_mod() -> None: for x in range(-100, 100): for y in range(-100, 100): if y != 0: assert x % y == getattr(x, "__mod__")(y) def test_constant_fold() -> None: assert str(-5 + 3) == "-2" assert str(15 - 3) == "12" assert str(1000 * 1000) == "1000000" assert str(12325 // 12 ) == "1027" assert str(87645 % 321) == "12" assert str(674253 | 76544) == "748493" assert str(765 ^ 82) == "687" assert str(6546 << 3) == "52368" assert str(6546 >> 7) == "51" assert str(3**5) == "243" assert str(~76) == "-77" try: 2 / 0 except ZeroDivisionError: pass else: assert False, "no exception raised" x = int() y = int() - 1 assert x == -1 or y != -3 assert -1 <= x assert -1 == y # Use int() to avoid constant propagation i30 = (1 << 30) + int() assert i30 == 1 << 30 i31 = (1 << 31) + int() assert i31 == 1 << 31 i32 = (1 << 32) + int() assert i32 == 1 << 32 i62 = (1 << 62) + int() assert i62 == 1 << 62 i63 = (1 << 63) + int() assert i63 == 1 << 63 i64 = (1 << 64) + int() assert i64 == 1 << 64 n30 = -(1 << 30) + int() assert n30 == -(1 << 30) n31 = -(1 << 31) + int() assert n31 == -(1 << 31) n32 = -(1 << 32) + int() assert n32 == -(1 << 32) n62 = -(1 << 62) + int() assert n62 == -(1 << 62) n63 = -(1 << 63) + int() assert n63 == -(1 << 63) n64 = -(1 << 64) + int() assert n64 == -(1 << 64) def div_by_2(x: int) -> int: return x // 2 def div_by_3(x: int) -> int: return x // 3 def div_by_4(x: int) -> int: return x // 4 def test_floor_divide_by_literal() -> None: for i in range(-100, 100): i_boxed: Any = i assert div_by_2(i) == i_boxed // int('2') assert div_by_3(i) == i_boxed // int('3') assert div_by_4(i) == i_boxed // int('4') def test_true_divide() -> None: for x in range(-150, 100): for y in range(-150, 100): if y != 0: assert x / y == getattr(x, "__truediv__")(y) large1 = (123 + int())**123 large2 = (121 + int())**121 assert large1 / large2 == getattr(large1, "__truediv__")(large2) assert large1 / 135 == getattr(large1, "__truediv__")(135) assert large1 / -2 == getattr(large1, "__truediv__")(-2) assert 17 / large2 == getattr(17, "__truediv__")(large2) huge = 10**1000 + int() with assertRaises(OverflowError, "integer division result too large for a float"): huge / 2 with assertRaises(OverflowError, "integer division result too large for a float"): huge / -2 assert 1 / huge == 0.0 [case testIntMinMax] def test_int_min_max() -> None: x: int = 200 y: int = 30 assert min(x, y) == 30 assert max(x, y) == 200 assert min(y, x) == 30 assert max(y, x) == 200 def test_int_hybrid_min_max() -> None: from typing import Any x: object = 30 y: Any = 20.0 assert min(x, y) == 20.0 assert max(x, y) == 30 u: object = 20 v: float = 30.0 assert min(u, v) == 20 assert max(u, v) == 30.0 def test_int_incompatible_min_max() -> None: x: int = 2 y: str = 'aaa' try: print(min(x, y)) except TypeError as e: assert str(e) == "'<' not supported between instances of 'str' and 'int'" try: print(max(x, y)) except TypeError as e: assert str(e) == "'>' not supported between instances of 'str' and 'int'" def test_int_bool_min_max() -> None: x: int = 2 y: bool = False z: bool = True assert min(x, y) == False assert min(x, z) == True assert max(x, y) == 2 assert max(x, z) == 2 u: int = -10 assert min(u, y) == -10 assert min(u, z) == -10 assert max(u, y) == False assert max(u, z) == True [case testIsInstance] from copysubclass import subc from typing import Any def test_built_in() -> None: i: Any = 0 assert isinstance(i + 0, int) assert isinstance(i + 9223372036854775808, int) assert isinstance(i + -9223372036854775808, int) assert isinstance(subc(), int) assert isinstance(subc(9223372036854775808), int) assert isinstance(subc(-9223372036854775808), int) assert not isinstance(set(), int) assert not isinstance((), int) assert not isinstance((1,2,3), int) assert not isinstance({1,2}, int) assert not isinstance(float(0) + 1.0, int) assert not isinstance(str() + '1', int) def test_user_defined() -> None: from userdefinedint import int i: Any = 42 assert isinstance(int(), int) assert not isinstance(i, int) [file copysubclass.py] class subc(int): pass [file userdefinedint.py] class int: pass [case testBitLength] def bit_length(n: int) -> int: return n.bit_length() def bit_length_python(n: int) -> int: return getattr(n, "bit_length")() def test_bit_length() -> None: for n in range(256): i = 1 << n assert bit_length(i) == bit_length_python(i) assert bit_length(-(i)) == bit_length_python(-(i)) i -= 1 assert bit_length(i) == bit_length_python(i) assert bit_length(-(i)) == bit_length_python(-(i)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-lists.test0000644000175100017510000003336215112307767020156 0ustar00runnerrunner# Test cases for lists (compile and run) [case testListPlusEquals] from typing import Any def append(x: Any) -> None: x += [1] [file driver.py] from native import append x = [] append(x) assert x == [1] [case testListSum] from typing import List def sum(a: List[int], l: int) -> int: sum = 0 i = 0 while i < l: sum = sum + a[i] i = i + 1 return sum [file driver.py] from native import sum print(sum([], 0)) print(sum([3], 1)) print(sum([5, 6, -4], 3)) print(sum([2**128 + 5, -2**127 - 8], 2)) [out] 0 3 7 170141183460469231731687303715884105725 [case testListSet] from typing import List def copy(a: List[int], b: List[int], l: int) -> int: i = 0 while i < l: a[i] = b[i] i = i + 1 return 0 [file driver.py] from native import copy a = [0, ''] copy(a, [-1, 5], 2) print(1, a) copy(a, [2**128 + 5, -2**127 - 8], 2) print(2, a) [out] 1 [-1, 5] 2 [340282366920938463463374607431768211461, -170141183460469231731687303715884105736] [case testListClear] from typing import List, Any from copysubclass import subc def test_list_clear() -> None: l1 = [1, 2, 3, -4, 5] l1.clear() assert l1 == [] l1.clear() assert l1 == [] l2: List[Any] = [] l2.clear() assert l2 == [] l3 = [1, 2, 3, "abcdef"] l3.clear() assert l3 == [] # subclass testing l4: subc = subc([1, 2, 3]) l4.clear() assert l4 == [] [file copysubclass.py] from typing import Any class subc(list[Any]): pass [case testListCopy] from typing import List from copysubclass import subc def test_list_copy() -> None: l1 = [1, 2, 3, -4, 5] l2 = l1.copy() assert l1.copy() == l1 assert l1.copy() == l2 assert l1 == l2 assert l1.copy() == l2.copy() l1 = l2.copy() assert l1 == l2 assert l1.copy() == l2 assert l1 == [1, 2, 3, -4, 5] l2 = [1, 2, -3] l1 = [] assert l1.copy() == [] assert l2.copy() != l1 assert l2 == l2.copy() l1 = l2 assert l1.copy().copy() == l2.copy().copy().copy() assert l1.copy() == l2.copy() l1 == [1, 2, -3].copy() assert l1 == l2 l2 = [1, 2, 3].copy() assert l2 != l1 l1 = [1, 2, 3] assert l1.copy() == l2.copy() l3 = [1, 2 , 3, "abcdef"] assert l3 == l3.copy() l4 = ["abc", 5, 10] l4 = l3.copy() assert l4 == l3 #subclass testing l5: subc = subc([1, 2, 3]) l6 = l5.copy() assert l6 == l5 l6 = [1, 2, "3", 4, 5] l5 = subc([1,2,"3",4,5]) assert l5.copy() == l6.copy() l6 = l5.copy() assert l5 == l6 [file copysubclass.py] from typing import Any class subc(list[Any]): pass [case testSieve] from typing import List def primes(n: int) -> List[int]: a = [1] * (n + 1) a[0] = 0 a[1] = 0 i = 0 while i < n: if a[i] == 1: j = i * i while j < n: a[j] = 0 j = j + i i = i + 1 return a [file driver.py] from native import primes print(primes(3)) print(primes(13)) [out] \[0, 0, 1, 1] \[0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1] [case testListPrimitives] from testutil import assertRaises def test_list_build() -> None: # Currently LIST_BUILDING_EXPANSION_THRESHOLD equals to 10 # long list built by list_build_op l1 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] l1.pop() l1.append(100) assert l1 == [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 100] # short list built by Setmem l2 = [1, 2] l2.append(3) l2.pop() l2.pop() assert l2 == [1] # empty list l3 = [] l3.append('a') assert l3 == ['a'] def test_append() -> None: l = [1, 2] l.append(10) assert l == [1, 2, 10] l.append(3) l.append(4) l.append(5) assert l == [1, 2, 10, 3, 4, 5] def test_pop_last() -> None: l = [1, 2, 10, 3, 4, 5] l.pop() l.pop() assert l == [1, 2, 10, 3] def test_pop_index() -> None: l = [1, 2, 10, 3] assert l.pop(2) == 10 assert l == [1, 2, 3] assert l.pop(-2) == 2 assert l == [1, 3] assert l.pop(-2) == 1 assert l.pop(0) == 3 assert l == [] l = [int() + 1000, int() + 1001, int() + 1002] assert l.pop(0) == 1000 assert l.pop(-1) == 1002 assert l == [1001] def test_pop_index_errors() -> None: l = [int() + 1000] with assertRaises(IndexError): l.pop(1) with assertRaises(IndexError): l.pop(-2) with assertRaises(OverflowError): l.pop(1 << 100) with assertRaises(OverflowError): l.pop(-(1 << 100)) def test_count() -> None: l = [1, 3] assert l.count(1) == 1 assert l.count(2) == 0 def test_insert() -> None: l = [1, 3] l.insert(0, 0) assert l == [0, 1, 3] l.insert(2, 2) assert l == [0, 1, 2, 3] l.insert(4, 4) assert l == [0, 1, 2, 3, 4] l.insert(-1, 5) assert l == [0, 1, 2, 3, 5, 4] l = [1, 3] l.insert(100, 5) assert l == [1, 3, 5] l.insert(-100, 6) assert l == [6, 1, 3, 5] for long_int in 1 << 100, -(1 << 100): try: l.insert(long_int, 5) except Exception as e: # The error message is used by CPython assert type(e).__name__ == 'OverflowError' assert str(e) == 'Python int too large to convert to C ssize_t' else: assert False def test_sort() -> None: l = [1, 4, 3, 6, -1] l.sort() assert l == [-1, 1, 3, 4, 6] l.sort() assert l == [-1, 1, 3, 4, 6] l = [] l.sort() assert l == [] def test_reverse() -> None: l = [1, 4, 3, 6, -1] l.reverse() assert l == [-1, 6, 3, 4, 1] l.reverse() assert l == [1, 4, 3, 6, -1] l = [] l.reverse() assert l == [] def test_remove() -> None: l = [1, 3, 4, 3] l.remove(3) assert l == [1, 4, 3] l.remove(3) assert l == [1, 4] try: l.remove(3) except ValueError: pass else: assert False def test_index() -> None: l = [1, 3, 4, 3] assert l.index(1) == 0 assert l.index(3) == 1 assert l.index(4) == 2 try: l.index(0) except ValueError: pass else: assert False [case testListOfUserDefinedClass] class C: x: int def f() -> int: c = C() c.x = 5 a = [c] d = a[0] return d.x + 1 def g() -> int: a = [C()] a[0].x = 3 return a[0].x + 4 [file driver.py] from native import f, g print(f()) print(g()) [out] 6 7 [case testListOps] from typing import Any, cast from testutil import assertRaises def test_slicing() -> None: # Use dummy adds to avoid constant folding zero = int() two = zero + 2 s = ["f", "o", "o", "b", "a", "r"] assert s[two:] == ["o", "b", "a", "r"] assert s[:two] == ["f", "o"] assert s[two:-two] == ["o", "b"] assert s[two:two] == [] assert s[two:two + 1] == ["o"] assert s[-two:] == ["a", "r"] assert s[:-two] == ["f", "o", "o", "b"] assert s[:] == ["f", "o", "o", "b", "a", "r"] assert s[two:333] == ["o", "b", "a", "r"] assert s[333:two] == [] assert s[two:-333] == [] assert s[-333:two] == ["f", "o"] long_int: int = 1000 * 1000 * 1000 * 1000 * 1000 * 1000 * 1000 assert s[1:long_int] == ["o", "o", "b", "a", "r"] assert s[long_int:] == [] assert s[-long_int:-1] == ["f", "o", "o", "b", "a"] def in_place_add(l2: Any) -> list[Any]: l1 = [1, 2] l1 += l2 return l1 def test_add() -> None: res = [1, 2, 3, 4] assert [1, 2] + [3, 4] == res with assertRaises(TypeError, 'can only concatenate list (not "tuple") to list'): assert [1, 2] + cast(Any, (3, 4)) == res l1 = [1, 2] id_l1 = id(l1) l1 += [3, 4] assert l1 == res assert id_l1 == id(l1) assert in_place_add([3, 4]) == res assert in_place_add((3, 4)) == res assert in_place_add({3, 4}) == res assert in_place_add({3: "", 4: ""}) == res assert in_place_add(range(3, 5)) == res def test_multiply() -> None: l1 = [1] assert l1 * 3 == [1, 1, 1] assert 3 * l1 == [1, 1, 1] l1 *= 3 assert l1 == [1, 1, 1] [case testOperatorInExpression] def tuple_in_int0(i: int) -> bool: return i in [] def tuple_in_int1(i: int) -> bool: return i in (1,) def tuple_in_int3(i: int) -> bool: return i in (1, 2, 3) def tuple_not_in_int0(i: int) -> bool: return i not in [] def tuple_not_in_int1(i: int) -> bool: return i not in (1,) def tuple_not_in_int3(i: int) -> bool: return i not in (1, 2, 3) def tuple_in_str(s: "str") -> bool: return s in ("foo", "bar", "baz") def tuple_not_in_str(s: "str") -> bool: return s not in ("foo", "bar", "baz") def list_in_int0(i: int) -> bool: return i in [] def list_in_int1(i: int) -> bool: return i in (1,) def list_in_int3(i: int) -> bool: return i in (1, 2, 3) def list_not_in_int0(i: int) -> bool: return i not in [] def list_not_in_int1(i: int) -> bool: return i not in (1,) def list_not_in_int3(i: int) -> bool: return i not in (1, 2, 3) def list_in_str(s: "str") -> bool: return s in ("foo", "bar", "baz") def list_not_in_str(s: "str") -> bool: return s not in ("foo", "bar", "baz") def list_in_mixed(i: object): return i in [[], (), "", 0, 0.0, False, 0j, {}, set(), type] def test_in_operator_various_cases() -> None: assert not tuple_in_int0(0) assert not tuple_in_int1(0) assert tuple_in_int1(1) assert not tuple_in_int3(0) assert tuple_in_int3(1) assert tuple_in_int3(2) assert tuple_in_int3(3) assert not tuple_in_int3(4) assert tuple_not_in_int0(0) assert tuple_not_in_int1(0) assert not tuple_not_in_int1(1) assert tuple_not_in_int3(0) assert not tuple_not_in_int3(1) assert not tuple_not_in_int3(2) assert not tuple_not_in_int3(3) assert tuple_not_in_int3(4) assert tuple_in_str("foo") assert tuple_in_str("bar") assert tuple_in_str("baz") assert not tuple_in_str("apple") assert not tuple_in_str("pie") assert not tuple_in_str("\0") assert not tuple_in_str("") assert not list_in_int0(0) assert not list_in_int1(0) assert list_in_int1(1) assert not list_in_int3(0) assert list_in_int3(1) assert list_in_int3(2) assert list_in_int3(3) assert not list_in_int3(4) assert list_not_in_int0(0) assert list_not_in_int1(0) assert not list_not_in_int1(1) assert list_not_in_int3(0) assert not list_not_in_int3(1) assert not list_not_in_int3(2) assert not list_not_in_int3(3) assert list_not_in_int3(4) assert list_in_str("foo") assert list_in_str("bar") assert list_in_str("baz") assert not list_in_str("apple") assert not list_in_str("pie") assert not list_in_str("\0") assert not list_in_str("") assert list_in_mixed(0) assert list_in_mixed([]) assert list_in_mixed({}) assert list_in_mixed(()) assert list_in_mixed(False) assert list_in_mixed(0.0) assert not list_in_mixed([1]) assert not list_in_mixed(object) assert list_in_mixed(type) [case testListBuiltFromGenerator] from typing import Final abc: Final = "abc" def test_from_gen() -> None: source_a = ["a", "b", "c"] a = list(x + "f2" for x in source_a) assert a == ["af2", "bf2", "cf2"] source_b = [1, 2, 3, 4, 5] b = [x * 2 for x in source_b] assert b == [2, 4, 6, 8, 10] source_c = [10, 20, 30] c = [x + "f4" for x in (str(y) + "yy" for y in source_c)] assert c == ["10yyf4", "20yyf4", "30yyf4"] source_d = [True, False] d = [not x for x in source_d] assert d == [False, True] source_e = [0, 1, 2] e = list((x ** 2) for x in (y + 2 for y in source_e)) assert e == [4, 9, 16] source_str = "abcd" f = list("str:" + x for x in source_str) assert f == ["str:a", "str:b", "str:c", "str:d"] def test_known_length() -> None: # not built from generator but doesnt need its own test either built = [str(x) for x in [*abc, *"def", *b"ghi", ("j", "k"), *("l", "m", "n")]] assert built == ['a', 'b', 'c', 'd', 'e', 'f', '103', '104', '105', "('j', 'k')", 'l', 'm', 'n'] [case testNext] from typing import List def get_next(x: List[int]) -> int: return next((i for i in x), -1) def test_next() -> None: assert get_next([]) == -1 assert get_next([1]) == 1 assert get_next([3,2,1]) == 3 [case testListGetItemWithBorrow] from typing import List class D: def __init__(self, n: int) -> None: self.n = n class C: def __init__(self, d: D) -> None: self.d = d def test_index_with_literal() -> None: d1 = D(1) d2 = D(2) a = [C(d1), C(d2)] d = a[0].d assert d is d1 d = a[1].d assert d is d2 d = a[-1].d assert d is d2 d = a[-2].d assert d is d1 [case testSorted] from typing import List def test_list_sort() -> None: l1 = [2, 1, 3] id_l1 = id(l1) l1.sort() assert l1 == [1, 2, 3] assert id_l1 == id(l1) def test_sorted() -> None: res = [1, 2, 3] l1 = [2, 1, 3] id_l1 = id(l1) s_l1 = sorted(l1) assert s_l1 == res assert id_l1 != id(s_l1) assert l1 == [2, 1, 3] assert sorted((2, 1, 3)) == res assert sorted({2, 1, 3}) == res assert sorted({2: "", 1: "", 3: ""}) == res [case testIsInstance] from copysubclass import subc def test_built_in() -> None: assert isinstance([], list) assert isinstance([1,2,3], list) assert isinstance(['a','b'], list) assert isinstance(subc(), list) assert isinstance(subc([1,2,3]), list) assert isinstance(subc(['a','b']), list) assert not isinstance({}, list) assert not isinstance((), list) assert not isinstance((1,2,3), list) assert not isinstance(('a','b'), list) assert not isinstance(1, list) assert not isinstance('a', list) def test_user_defined() -> None: from userdefinedlist import list assert isinstance(list(), list) assert not isinstance([list()], list) [file copysubclass.py] from typing import Any class subc(list[Any]): pass [file userdefinedlist.py] class list: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-loops.test0000644000175100017510000002571015112307767020152 0ustar00runnerrunner# Test cases for "range" objects, "for" and "while" loops (compile and run) [case testFor] from typing import List, Tuple def count(n: int) -> None: for i in range(n): print(i) def count_between(n: int, k: int) -> None: for i in range(n, k): print(i) print('n=', n) def count_down(n: int, k: int) -> None: for i in range(n, k, -1): print(i) def count_double(n: int, k: int) -> None: for i in range(n, k, 2): print(i) def list_iter(l: List[int]) -> None: for i in l: print(i) def tuple_iter(l: Tuple[int, ...]) -> None: for i in l: print(i) def str_iter(l: str) -> None: for i in l: print(i) def list_rev_iter(l: List[int]) -> None: for i in reversed(l): print(i) def list_rev_iter_lol(l: List[int]) -> None: for i in reversed(l): print(i) if i == 3: while l: l.pop() def count_down_short() -> None: for i in range(10, 0, -1): print(i) [file driver.py] from native import ( count, list_iter, list_rev_iter, list_rev_iter_lol, count_between, count_down, count_double, count_down_short, tuple_iter, str_iter, ) count(5) list_iter(list(reversed(range(5)))) list_rev_iter(list(reversed(range(5)))) count_between(11, 15) count_between(10**20, 10**20+3) count_down(20, 10) count_double(10, 15) count_down_short() print('==') list_rev_iter_lol(list(reversed(range(5)))) tuple_iter((1, 2, 3)) str_iter("abc") [out] 0 1 2 3 4 4 3 2 1 0 0 1 2 3 4 11 12 13 14 n= 11 100000000000000000000 100000000000000000001 100000000000000000002 n= 100000000000000000000 20 19 18 17 16 15 14 13 12 11 10 12 14 10 9 8 7 6 5 4 3 2 1 == 0 1 2 3 1 2 3 a b c [case testLoopElse] from typing import Iterator def run_for_range(n: int) -> None: for i in range(n): if i == 3: break print(i) else: print(n+1) def run_for_list(n: int) -> None: for i in list(range(n)): if i == 3: break print(i) else: print(n+1) def run_for_iter(n: int) -> None: def identity(x: Iterator[int]) -> Iterator[int]: return x for i in identity(range(n)): if i == 3: break print(i) else: print(n+1) def count(n: int) -> int: i = 1 while i <= n: i = i + 1 if i == 5: break else: i *= -1 return i def nested_while() -> int: while True: while False: pass else: break else: return -1 return 0 def nested_for() -> int: for x in range(1000): for y in [1,2,3]: pass else: break else: return -1 return 0 [file driver.py] from native import run_for_range, run_for_list, run_for_iter, count, nested_while, nested_for assert nested_while() == 0 assert nested_for() == 0 assert count(0) == -1 assert count(1) == -2 assert count(5) == 5 assert count(6) == 5 run_for_range(3) run_for_range(5) print('==') run_for_list(3) run_for_list(5) print('==') run_for_iter(3) run_for_iter(5) [out] 0 1 2 4 0 1 2 == 0 1 2 4 0 1 2 == 0 1 2 4 0 1 2 [case testNestedLoopSameIdx] from typing import List, Generator def nested_enumerate() -> None: l1 = [0,1,2] l2 = [0,1,2] outer_seen = [] outer = 0 for i, j in enumerate(l1): assert i == outer outer_seen.append(i) inner = 0 for i, k in enumerate(l2): assert i == inner inner += 1 outer += 1 assert i == 2 assert outer_seen == l1 def nested_range() -> None: outer = 0 outer_seen = [] for i in range(3): assert i == outer outer_seen.append(i) inner = 0 for i in range(3): assert i == inner inner += 1 outer += 1 assert outer_seen == [0,1,2] def nested_list() -> None: l1 = [0,1,2] l2 = [0,1,2] outer_seen = [] outer = 0 for i in l1: assert i == outer outer_seen.append(i) inner = 0 for i in l2: assert i == inner inner += 1 outer += 1 assert outer_seen == l1 def nested_yield() -> Generator: for i in range(3): for i in range(3): yield i yield i [file driver.py] from native import nested_enumerate, nested_range, nested_list, nested_yield nested_enumerate() nested_range() nested_list() gen = nested_yield() for k in range(12): assert next(gen) == k % 4 [out] [case testForIterable] from typing import Iterable, Dict, Any, Tuple, TypeVar T = TypeVar("T") def iterate_over_any(a: Any) -> None: for element in a: print(element) def iterate_over_iterable(iterable: Iterable[T]) -> None: for element in iterable: print(element) def iterate_and_delete(d: Dict[int, int]) -> None: for key in d: d.pop(key) def sum_over_values(d: Dict[int, int]) -> int: s = 0 for key in d: s = s + d[key] return s def sum_over_even_values(d: Dict[int, int]) -> int: s = 0 for key in d: if d[key] % 2: continue s = s + d[key] return s def sum_over_two_values(d: Dict[int, int]) -> int: s = 0 i = 0 for key in d: if i == 2: break s = s + d[key] i = i + 1 return s def iterate_over_tuple(iterable: Tuple[int, int, int]) -> None: for element in iterable: print(element) [file driver.py] from native import iterate_over_any, iterate_over_iterable, iterate_and_delete, sum_over_values, sum_over_even_values, sum_over_two_values, iterate_over_tuple import traceback def broken_generator(n): num = 0 while num < n: yield num num += 1 raise Exception('Exception Manually Raised') d = {1:1, 2:2, 3:3, 4:4, 5:5} print(sum_over_values(d)) print(sum_over_even_values(d)) print(sum_over_two_values(d)) try: iterate_over_any(5) except TypeError: traceback.print_exc() try: iterate_over_iterable(broken_generator(5)) except Exception: traceback.print_exc() try: iterate_and_delete(d) except RuntimeError: traceback.print_exc() iterate_over_tuple((1, 2, 3)) [out] Traceback (most recent call last): File "driver.py", line 16, in iterate_over_any(5) File "native.py", line 6, in iterate_over_any for element in a: TypeError: 'int' object is not iterable Traceback (most recent call last): File "driver.py", line 20, in iterate_over_iterable(broken_generator(5)) File "native.py", line 10, in iterate_over_iterable for element in iterable: File "driver.py", line 8, in broken_generator raise Exception('Exception Manually Raised') Exception: Exception Manually Raised Traceback (most recent call last): File "driver.py", line 24, in iterate_and_delete(d) File "native.py", line 14, in iterate_and_delete for key in d: RuntimeError: dictionary changed size during iteration 15 6 3 0 1 2 3 4 1 2 3 [out version>=3.13] Traceback (most recent call last): File "driver.py", line 16, in iterate_over_any(5) ~~~~~~~~~~~~~~~~^^^ File "native.py", line 6, in iterate_over_any for element in a: TypeError: 'int' object is not iterable Traceback (most recent call last): File "driver.py", line 20, in iterate_over_iterable(broken_generator(5)) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^ File "native.py", line 10, in iterate_over_iterable for element in iterable: File "driver.py", line 8, in broken_generator raise Exception('Exception Manually Raised') Exception: Exception Manually Raised Traceback (most recent call last): File "driver.py", line 24, in iterate_and_delete(d) ~~~~~~~~~~~~~~~~~~^^^ File "native.py", line 14, in iterate_and_delete for key in d: RuntimeError: dictionary changed size during iteration 15 6 3 0 1 2 3 4 1 2 3 [case testContinueFor] def f() -> None: for n in range(5): continue [file driver.py] from native import f f() [case testMultipleVarsWithLoops] # Test comprehensions and for loops with multiple index variables l = [(1, 2, 'a'), (3, 4, 'b'), (5, 6, 'c')] l2 = [str(a*100+b)+' '+c for a, b, c in l] l3 = [] for a, b, c in l: l3.append(str(a*1000+b)+' '+c) [file driver.py] from native import l, l2, l3 for a in l2 + l3: print(a) [out] 102 a 304 b 506 c 1002 a 3004 b 5006 c [case testForZipAndEnumerate] from typing import Iterable, List, Any def f(a: Iterable[int], b: List[int]) -> List[Any]: res = [] for (x, y), z in zip(enumerate(a), b): res.append((x, y, z)) return res def g(a: Iterable[int], b: Iterable[str]) -> List[Any]: res = [] for x, (y, z) in enumerate(zip(a, b)): res.append((x, y, z)) return res [file driver.py] from native import f, g assert f([6, 7], [8, 9]) == [(0, 6, 8), (1, 7, 9)] assert g([6, 7], ['a', 'b']) == [(0, 6, 'a'), (1, 7, 'b')] assert f([6, 7], [8]) == [(0, 6, 8)] assert f([6], [8, 9]) == [(0, 6, 8)] [case testEnumerateEmptyList] from typing import List def get_enumerate_locals(iterable: List[int]) -> int: for i, j in enumerate(iterable): pass try: return i except NameError: return -100 [file driver.py] from native import get_enumerate_locals print(get_enumerate_locals([])) print(get_enumerate_locals([55])) print(get_enumerate_locals([551, 552])) [out] -100 0 1 [case testIterTypeTrickiness] # Test inferring the type of a for loop body doesn't cause us grief # Extracted from somethings that broke in mypy from typing import Optional # really I only care that this one build def foo(x: object) -> None: if isinstance(x, dict): for a in x: pass def bar(x: Optional[str]) -> None: vars = ( ("a", 'lol'), ("b", 'asdf'), ("lol", x), ("an int", 10), ) for name, value in vars: pass [file driver.py] from native import bar bar(None) [case testRangeObject] from typing import Any def f(x: range) -> int: sum = 0 for i in x: sum += i return sum def test_range_object() -> None: r1 = range(4, 12, 2) tmp_list = [x for x in r1] assert tmp_list == [4, 6, 8, 10] assert f(r1) == 28 r2: Any = range(10) assert f(r2) == 45 r3: Any = 'x' try: f(r3) except TypeError as e: assert "range object expected; got str" in str(e) try: ff: Any = f ff(r3) except TypeError as e: assert "range object expected; got str" in str(e) try: r4 = range(4, 12, 0) except ValueError as e: assert "range() arg 3 must not be zero" in str(e) [case testNamedTupleLoop] from collections.abc import Iterable from typing import NamedTuple, Any from typing_extensions import Self class Vector2(NamedTuple): x: int y: float @classmethod def from_iter(cls, iterable: Iterable[Any]) -> Self: return cls(*iter(iterable)) def __neg__(self) -> Self: return self.from_iter(-c for c in self) [file driver.py] import native print(-native.Vector2(2, -3.1)) print([x for x in native.Vector2(4, -5.2)]) [out] Vector2(x=-2, y=3.1) \[4, -5.2] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-match.test0000644000175100017510000001175715112307767020120 0ustar00runnerrunner[case testTheBigMatch_python3_10] class Person: __match_args__ = ("name", "age") name: str age: int def __init__(self, name: str, age: int) -> None: self.name = name self.age = age def __str__(self) -> str: return f"Person(name={self.name!r}, age={self.age})" def f(x: object) -> None: match x: case 123: print("test 1") case 456 | 789: print("test 2") case True | False | None: print("test 3") case Person("bob" as name, age): print(f"test 4 ({name=}, {age=})") case num if num == 5: print("test 5") case 6 as num: print(f"test 6 ({num=})") case (7 | "7") as value: print(f"test 7 ({value=})") case Person("alice", age=123): print("test 8") case Person("charlie", age=123 | 456): print("test 9") case Person("dave", 123) as dave: print(f"test 10 {dave}") case {"test": 11}: print("test 11") case {"test": 12, **rest}: print(f"test 12 (rest={rest})") case {}: print("test map final") case ["test", 13]: print("test 13") case ["test", 13, _]: print("test 13b") case ["test", 14, *_]: print("test 14") # TODO: Fix "rest" being used here coliding with above "rest" case ["test", 15, *rest2]: print(f"test 15 ({rest2})") case ["test", *rest3, 16]: print(f"test 16 ({rest3})") case [*rest4, "test", 17]: print(f"test 17 ({rest4})") case [*rest4, "test", 18, "some", "fluff"]: print(f"test 18 ({rest4})") case str("test 19"): print("test 19") case str(test_20) if test_20.startswith("test 20"): print(f"test 20 ({test_20[7:]!r})") case ("test 21" as value) | ("test 21 as well" as value): print(f"test 21 ({value[7:]!r})") case []: print("test sequence final") case _: print("test final") [file driver.py] from native import f, Person # test 1 f(123) # test 2 f(456) f(789) # test 3 f(True) f(False) f(None) # test 4 f(Person("bob", 123)) # test 5 f(5) # test 6 f(6) # test 7 f(7) f("7") # test 8 f(Person("alice", 123)) # test 9 f(Person("charlie", 123)) f(Person("charlie", 456)) # test 10 f(Person("dave", 123)) # test 11 f({"test": 11}) f({"test": 11, "some": "key"}) # test 12 f({"test": 12}) f({"test": 12, "key": "value"}) f({"test": 12, "key": "value", "abc": "123"}) # test map final f({}) # test 13 f(["test", 13]) # test 13b f(["test", 13, "fail"]) # test 14 f(["test", 14]) f(["test", 14, "something"]) # test 15 f(["test", 15]) f(["test", 15, "something"]) # test 16 f(["test", 16]) f(["test", "filler", 16]) f(["test", "more", "filler", 16]) # test 17 f(["test", 17]) f(["stuff", "test", 17]) f(["more", "stuff", "test", 17]) # test 18 f(["test", 18, "some", "fluff"]) f(["stuff", "test", 18, "some", "fluff"]) f(["more", "stuff", "test", 18, "some", "fluff"]) # test 19 f("test 19") # test 20 f("test 20") f("test 20 something else") # test 21 f("test 21") f("test 21 as well") # test sequence final f([]) # test final f("") [out] test 1 test 2 test 2 test 3 test 3 test 3 test 4 (name='bob', age=123) test 5 test 6 (num=6) test 7 (value=7) test 7 (value='7') test 8 test 9 test 9 test 10 Person(name='dave', age=123) test 11 test 11 test 12 (rest={}) test 12 (rest={'key': 'value'}) test 12 (rest={'key': 'value', 'abc': '123'}) test map final test 13 test 13b test 14 test 14 test 15 ([]) test 15 (['something']) test 16 ([]) test 16 (['filler']) test 16 (['more', 'filler']) test 17 ([]) test 17 (['stuff']) test 17 (['more', 'stuff']) test 18 ([]) test 18 (['stuff']) test 18 (['more', 'stuff']) test 19 test 20 ('') test 20 (' something else') test 21 ('') test 21 (' as well') test sequence final test final [case testCustomMappingAndSequenceObjects_python3_10] def f(x: object) -> None: match x: case {"key": "value", **rest}: print(rest, type(rest)) case [1, 2, *rest2]: print(rest2, type(rest2)) [file driver.py] from collections.abc import Mapping, Sequence from native import f class CustomMapping(Mapping): inner: dict def __init__(self, inner: dict) -> None: self.inner = inner def __getitem__(self, key): return self.inner[key] def __iter__(self): return iter(self.inner) def __len__(self) -> int: return len(self.inner) class CustomSequence(Sequence): inner: list def __init__(self, inner: list) -> None: self.inner = inner def __getitem__(self, index: int) -> None: return self.inner[index] def __len__(self) -> int: return len(self.inner) mapping = CustomMapping({"key": "value", "some": "data"}) sequence = CustomSequence([1, 2, 3]) f(mapping) f(sequence) [out] {'some': 'data'} [3] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-math.test0000644000175100017510000000677115112307767017755 0ustar00runnerrunner# Test cases for the math module (compile and run) [case testMathOps] from typing import Any, Callable, Final import math from math import pi, e, tau, inf, nan from testutil import assertRaises, float_vals, assertDomainError, assertMathRangeError pymath: Any = math def validate_one_arg(test: Callable[[float], float], validate: Callable[[float], float]) -> None: """Ensure that test and validate behave the same for various float args.""" for x in float_vals: try: expected = validate(x) except Exception as e: try: test(x) assert False, f"no exception raised for {x!r}, expected {e!r}" except Exception as e2: assert repr(e) == repr(e2), f"actual for {x!r}: {e2!r}, expected: {e!r}" continue actual = test(x) assert repr(actual) == repr(expected), ( f"actual for {x!r}: {actual!r}, expected {expected!r}") def validate_two_arg(test: Callable[[float, float], float], validate: Callable[[float, float], float]) -> None: """Ensure that test and validate behave the same for various float args.""" for x in float_vals: for y in float_vals: args = f"({x!r}, {y!r})" try: expected = validate(x, y) except Exception as e: try: test(x, y) assert False, f"no exception raised for {args}, expected {e!r}" except Exception as e2: assert repr(e) == repr(e2), f"actual for {args}: {e2!r}, expected: {e!r}" continue try: actual = test(x, y) except Exception as e: assert False, f"no exception expected for {args}, got {e!r}" assert repr(actual) == repr(expected), ( f"actual for {args}: {actual!r}, expected {expected!r}") def test_sqrt() -> None: validate_one_arg(lambda x: math.sqrt(x), pymath.sqrt) def test_sin() -> None: validate_one_arg(lambda x: math.sin(x), pymath.sin) def test_cos() -> None: validate_one_arg(lambda x: math.cos(x), pymath.cos) def test_tan() -> None: validate_one_arg(lambda x: math.tan(x), pymath.tan) def test_exp() -> None: validate_one_arg(lambda x: math.exp(x), pymath.exp) def test_log() -> None: validate_one_arg(lambda x: math.log(x), pymath.log) def test_floor() -> None: validate_one_arg(lambda x: math.floor(x), pymath.floor) def test_ceil() -> None: validate_one_arg(lambda x: math.ceil(x), pymath.ceil) def test_fabs() -> None: validate_one_arg(lambda x: math.fabs(x), pymath.fabs) def test_pow() -> None: validate_two_arg(lambda x, y: math.pow(x, y), pymath.pow) def test_copysign() -> None: validate_two_arg(lambda x, y: math.copysign(x, y), pymath.copysign) def test_isinf() -> None: for x in float_vals: assert repr(math.isinf(x)) == repr(pymath.isinf(x)) def test_isnan() -> None: for x in float_vals: assert repr(math.isnan(x)) == repr(pymath.isnan(x)) def test_pi_is_inlined_correctly() -> None: assert math.pi == pi == 3.141592653589793 def test_e_is_inlined_correctly() -> None: assert math.e == e == 2.718281828459045 def test_tau_is_inlined_correctly() -> None: assert math.tau == tau == 6.283185307179586 def test_inf_is_inlined_correctly() -> None: assert math.inf == inf == float("inf") def test_nan_is_inlined_correctly() -> None: assert math.isnan(math.nan) assert math.isnan(nan) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-misc.test0000644000175100017510000006227515112307767017760 0ustar00runnerrunner[case testMaybeUninitVar] class C: def __init__(self, x: int) -> None: self.x = x def f(b: bool) -> None: u = C(1) while b: v = C(2) if v is not u: break print(v.x) [file driver.py] from native import f f(True) [out] 2 [case testUninitBoom] def f(a: bool, b: bool) -> None: if a: x = 'lol' if b: print(x) def g() -> None: try: [0][1] y = 1 except Exception: pass print(y) [file driver.py] from native import f, g from testutil import assertRaises f(True, True) f(False, False) with assertRaises(UnboundLocalError): f(False, True) with assertRaises(UnboundLocalError): g() [out] lol [case testBuiltins] y = 10 def f(x: int) -> None: print(5) d = globals() assert d['y'] == 10 d['y'] = 20 assert y == 20 [file driver.py] from native import f f(5) [out] 5 [case testOptional] from typing import Optional class A: pass def f(x: Optional[A]) -> Optional[A]: return x def g(x: Optional[A]) -> int: if x is None: return 1 if x is not None: return 2 return 3 def h(x: Optional[int], y: Optional[bool]) -> None: pass [file driver.py] from native import f, g, A a = A() assert f(None) is None assert f(a) is a assert g(None) == 1 assert g(a) == 2 [case testInferredOptionalAssignment] from typing import Any, Generator def f(b: bool) -> Any: if b: x = None else: x = 1 if b: y = 1 else: y = None m = 1 if b else None n = None if b else 1 return ((x, y), (m, n)) def gen(b: bool) -> Generator[Any, None, None]: if b: y = 1 else: y = None yield y def test_inferred() -> None: assert f(False) == ((1, None), (None, 1)) assert f(True) == ((None, 1), (1, None)) assert next(gen(False)) is None assert next(gen(True)) == 1 [case testWith] from typing import Any class Thing: def __init__(self, x: str) -> None: self.x = x def __enter__(self) -> str: print('enter!', self.x) if self.x == 'crash': raise Exception('ohno') return self.x def __exit__(self, x: Any, y: Any, z: Any) -> None: print('exit!', self.x, y) def foo(i: int) -> int: with Thing('a') as x: print("yooo?", x) if i == 0: return 10 elif i == 1: raise Exception('exception!') return -1 def bar() -> None: with Thing('a') as x, Thing('b') as y: print("yooo?", x, y) def baz() -> None: with Thing('a') as x, Thing('crash') as y: print("yooo?", x, y) [file driver.py] from native import foo, bar, baz assert foo(0) == 10 print('== foo ==') try: foo(1) except Exception: print('caught') assert foo(2) == -1 print('== bar ==') bar() print('== baz ==') try: baz() except Exception: print('caught') [out] enter! a yooo? a exit! a None == foo == enter! a yooo? a exit! a exception! caught enter! a yooo? a exit! a None == bar == enter! a enter! b yooo? a b exit! b None exit! a None == baz == enter! a enter! crash exit! a ohno caught [case testDisplays] from typing import List, Set, Tuple, Sequence, Dict, Any, Mapping def listDisplay(x: List[int], y: List[int]) -> List[int]: return [1, 2, *x, *y, 3] def setDisplay(x: Set[int], y: Set[int]) -> Set[int]: return {1, 2, *x, *y, 3} def tupleDisplay(x: Sequence[str], y: Sequence[str]) -> Tuple[str, ...]: return ('1', '2', *x, *y, '3') def dictDisplay(x: str, y1: Dict[str, int], y2: Dict[str, int]) -> Dict[str, int]: return {x: 2, **y1, 'z': 3, **y2} def dictDisplayUnpackMapping(obj: Mapping[str, str]) -> Dict[str, str]: return {**obj, "env": "value"} [file driver.py] import os from native import listDisplay, setDisplay, tupleDisplay, dictDisplay, dictDisplayUnpackMapping assert listDisplay([4], [5, 6]) == [1, 2, 4, 5, 6, 3] assert setDisplay({4}, {5}) == {1, 2, 3, 4, 5} assert tupleDisplay(['4', '5'], ['6']) == ('1', '2', '4', '5', '6', '3') assert dictDisplay('x', {'y1': 1}, {'y2': 2, 'z': 5}) == {'x': 2, 'y1': 1, 'y2': 2, 'z': 5} assert dictDisplayUnpackMapping(os.environ) == {**os.environ, "env": "value"} [case testArbitraryLvalues] from typing import List, Dict, Any class O(object): def __init__(self) -> None: self.x = 1 def increment_attr(a: Any) -> Any: a.x += 1 return a def increment_attr_o(o: O) -> O: o.x += 1 return o def increment_all_indices(l: List[int]) -> List[int]: for i in range(len(l)): l[i] += 1 return l def increment_all_keys(d: Dict[str, int]) -> Dict[str, int]: for k in d: d[k] += 1 return d [file driver.py] from native import O, increment_attr, increment_attr_o, increment_all_indices, increment_all_keys class P(object): def __init__(self) -> None: self.x = 0 assert increment_attr(P()).x == 1 assert increment_attr_o(O()).x == 2 assert increment_all_indices([1, 2, 3]) == [2, 3, 4] assert increment_all_keys({'a':1, 'b':2, 'c':3}) == {'a':2, 'b':3, 'c':4} [case testControlFlowExprs] from typing import Tuple def foo() -> object: print('foo') return 'foo' def bar() -> object: print('bar') return 'bar' def t(x: int) -> int: print(x) return x def f(b: bool) -> Tuple[object, object, object]: x = foo() if b else bar() y = b or foo() z = b and foo() return (x, y, z) def g() -> Tuple[object, object]: return (foo() or bar(), foo() and bar()) def nand(p: bool, q: bool) -> bool: if not (p and q): return True return False def chained(x: int, y: int, z: int) -> bool: return t(x) < t(y) > t(z) def chained2(x: int, y: int, z: int, w: int) -> bool: return t(x) < t(y) < t(z) < t(w) [file driver.py] from native import f, g, nand, chained, chained2 assert f(True) == ('foo', True, 'foo') print() assert f(False) == ('bar', 'foo', False) print() assert g() == ('foo', 'bar') assert nand(True, True) == False assert nand(True, False) == True assert nand(False, True) == True assert nand(False, False) == True print() assert chained(10, 20, 15) == True print() assert chained(10, 20, 30) == False print() assert chained(21, 20, 30) == False print() assert chained2(1, 2, 3, 4) == True print() assert chained2(1, 0, 3, 4) == False print() assert chained2(1, 2, 0, 4) == False [out] foo foo bar foo foo foo bar 10 20 15 10 20 30 21 20 1 2 3 4 1 0 1 2 0 [case testMultipleAssignment] from typing import Tuple, List, Any def from_tuple(t: Tuple[int, str]) -> List[Any]: x, y = t return [y, x] def from_tuple_sequence(t: Tuple[int, ...]) -> List[int]: x, y, z = t return [z, y, x] def from_list(l: List[int]) -> List[int]: x, y = l return [y, x] def from_list_complex(l: List[int]) -> List[int]: ll = l[:] ll[1], ll[0] = l return ll def from_any(o: Any) -> List[Any]: x, y = o return [y, x] def multiple_assignments(t: Tuple[int, str]) -> List[Any]: a, b = c, d = t e, f = g, h = 1, 2 return [a, b, c, d, e, f, g, h] [file driver.py] from native import ( from_tuple, from_tuple_sequence, from_list, from_list_complex, from_any, multiple_assignments ) assert from_tuple((1, 'x')) == ['x', 1] assert from_tuple_sequence((1, 5, 4)) == [4, 5, 1] try: from_tuple_sequence((1, 5)) except ValueError as e: assert 'not enough values to unpack (expected 3, got 2)' in str(e) else: assert False assert from_list([3, 4]) == [4, 3] try: from_list([5, 4, 3]) except ValueError as e: assert 'too many values to unpack (expected 2)' in str(e) else: assert False assert from_list_complex([7, 6]) == [6, 7] try: from_list_complex([5, 4, 3]) except ValueError as e: assert 'too many values to unpack (expected 2)' in str(e) else: assert False assert from_any('xy') == ['y', 'x'] assert multiple_assignments((4, 'x')) == [4, 'x', 4, 'x', 1, 2, 1, 2] [case testUnpack] from typing import List a, *b = [1, 2, 3, 4, 5] *c, d = [1, 2, 3, 4, 5] e, *f = [1,2] j, *k, l = [1, 2, 3] m, *n, o = [1, 2, 3, 4, 5, 6] p, q, r, *s, t = [1,2,3,4,5,6,7,8,9,10] tup = (1,2,3) y, *z = tup def unpack1(l : List[int]) -> None: *v1, v2, v3 = l def unpack2(l : List[int]) -> None: v1, *v2, v3 = l def unpack3(l : List[int]) -> None: v1, v2, *v3 = l [file driver.py] from native import a, b, c, d, e, f, j, k, l, m, n, o, p, q, r, s, t, y, z from native import unpack1, unpack2, unpack3 from testutil import assertRaises assert a == 1 assert b == [2,3,4,5] assert c == [1,2,3,4] assert d == 5 assert e == 1 assert f == [2] assert j == 1 assert k == [2] assert l == 3 assert m == 1 assert n == [2,3,4,5] assert o == 6 assert p == 1 assert q == 2 assert r == 3 assert s == [4,5,6,7,8,9] assert t == 10 assert y == 1 assert z == [2,3] with assertRaises(ValueError, "not enough values to unpack"): unpack1([1]) with assertRaises(ValueError, "not enough values to unpack"): unpack2([1]) with assertRaises(ValueError, "not enough values to unpack"): unpack3([1]) [out] [case testModuleTopLevel] x = 1 print(x) def f() -> None: print(x + 1) def g() -> None: global x x = 77 [file driver.py] import native native.f() native.x = 5 native.f() native.g() print(native.x) [out] 1 2 6 77 [case testComprehensions] from typing import List # A list comprehension l = [str(x) + " " + str(y) + " " + str(x*y) for x in range(10) if x != 6 if x != 5 for y in range(x) if y*x != 8] # Test short-circuiting as well def pred(x: int) -> bool: if x > 6: raise Exception() return x > 3 # If we fail to short-circuit, pred(x) will be called with x=7 # eventually and will raise an exception. l2 = [x for x in range(10) if x <= 6 if pred(x)] src = ['x'] def f() -> List[str]: global src res = src src = [] return res l3 = [s for s in f()] l4 = [s for s in f()] # A dictionary comprehension d = {k: k*k for k in range(10) if k != 5 if k != 6} # A set comprehension s = {str(x) + " " + str(y) + " " + str(x*y) for x in range(10) if x != 6 if x != 5 for y in range(x) if y*x != 8} [file driver.py] from native import l, l2, l3, l4, d, s for a in l: print(a) print(tuple(l2)) assert l3 == ['x'] assert l4 == [] for k in sorted(d): print(k, d[k]) for a in sorted(s): print(a) [out] 1 0 0 2 0 0 2 1 2 3 0 0 3 1 3 3 2 6 4 0 0 4 1 4 4 3 12 7 0 0 7 1 7 7 2 14 7 3 21 7 4 28 7 5 35 7 6 42 8 0 0 8 2 16 8 3 24 8 4 32 8 5 40 8 6 48 8 7 56 9 0 0 9 1 9 9 2 18 9 3 27 9 4 36 9 5 45 9 6 54 9 7 63 9 8 72 (4, 5, 6) 0 0 1 1 2 4 3 9 4 16 7 49 8 64 9 81 1 0 0 2 0 0 2 1 2 3 0 0 3 1 3 3 2 6 4 0 0 4 1 4 4 3 12 7 0 0 7 1 7 7 2 14 7 3 21 7 4 28 7 5 35 7 6 42 8 0 0 8 2 16 8 3 24 8 4 32 8 5 40 8 6 48 8 7 56 9 0 0 9 1 9 9 2 18 9 3 27 9 4 36 9 5 45 9 6 54 9 7 63 9 8 72 [case testDummyTypes] from typing import Tuple, List, Dict, Literal, NamedTuple, NewType, TypedDict class A: pass T = List[A] U = List[Tuple[int, str]] Z = List[List[int]] D = Dict[int, List[int]] N = NewType('N', int) G = Tuple[int, str] def foo(x: N) -> int: return x foo(N(10)) z = N(10) Lol = NamedTuple('Lol', (('a', int), ('b', T))) x = Lol(1, []) def take_lol(x: Lol) -> int: return x.a TD = TypedDict('TD', {'a': int}) def take_typed_dict(x: TD) -> int: return x['a'] def take_literal(x: Literal[1, 2, 3]) -> None: print(x) [file driver.py] import sys from native import * if sys.version_info[:3] > (3, 5, 2): assert "%s %s %s %s" % (T, U, Z, D) == "typing.List[native.A] typing.List[typing.Tuple[int, str]] typing.List[typing.List[int]] typing.Dict[int, typing.List[int]]" print(x) print(z) print(take_lol(x)) print(take_typed_dict({'a': 20})) try: take_typed_dict(None) except Exception as e: print(type(e).__name__) take_literal(1) # We check that the type is the real underlying type try: take_literal(None) except Exception as e: print(type(e).__name__) # ... but not that it is a valid literal value take_literal(10) [typing fixtures/typing-full.pyi] [out] Lol(a=1, b=[]) 10 1 20 TypeError 1 TypeError 10 [case testClassBasedTypedDict] from typing import TypedDict class TD(TypedDict): a: int class TD2(TD): b: int class TD3(TypedDict, total=False): c: int class TD4(TD3, TD2, total=False): d: int def test_typed_dict() -> None: d = TD(a=5) assert d['a'] == 5 assert type(d) == dict # TODO: This doesn't work yet # assert TD.__annotations__ == {'a': int} def test_inherited_typed_dict() -> None: d = TD2(a=5, b=3) assert d['a'] == 5 assert d['b'] == 3 assert type(d) == dict def test_non_total_typed_dict() -> None: d3 = TD3(c=3) d4 = TD4(a=1, b=2, c=3, d=4) assert d3['c'] == 3 assert d4['d'] == 4 [typing fixtures/typing-full.pyi] [case testClassBasedNamedTuple] from typing import NamedTuple import sys # Class-based NamedTuple requires Python 3.6+ version = sys.version_info[:2] if version[0] == 3 and version[1] < 6: exit() class NT(NamedTuple): a: int def test_named_tuple() -> None: t = NT(a=1) assert t.a == 1 assert type(t) is NT assert isinstance(t, tuple) assert not isinstance(tuple([1]), NT) [case testUnion] from typing import Union class A: def __init__(self, x: int) -> None: self.x = x def f(self, y: int) -> int: return y + self.x class B: def __init__(self, x: object) -> None: self.x = x def f(self, y: object) -> object: return y def f(x: Union[A, str]) -> object: if isinstance(x, A): return x.x else: return x + 'x' def g(x: int) -> Union[A, int]: if x == 0: return A(1) else: return x + 1 def get(x: Union[A, B]) -> object: return x.x def call(x: Union[A, B]) -> object: return x.f(5) [file driver.py] from native import A, B, f, g, get, call assert f('a') == 'ax' assert f(A(4)) == 4 assert isinstance(g(0), A) assert g(2) == 3 assert get(A(5)) == 5 assert get(B('x')) == 'x' assert call(A(4)) == 9 assert call(B('x')) == 5 try: f(1) except TypeError: pass else: assert False [case testAnyAll] from typing import Iterable def call_any_nested(l: Iterable[Iterable[int]], val: int = 0) -> int: res = any(i == val for l2 in l for i in l2) return 0 if res else 1 def call_any(l: Iterable[int], val: int = 0) -> int: res = any(i == val for i in l) return 0 if res else 1 def call_all(l: Iterable[int], val: int = 0) -> int: res = all(i == val for i in l) return 0 if res else 1 [file driver.py] from native import call_any, call_all, call_any_nested zeros = [0, 0, 0] ones = [1, 1, 1] mixed_001 = [0, 0, 1] mixed_010 = [0, 1, 0] mixed_100 = [1, 0, 0] mixed_011 = [0, 1, 1] mixed_101 = [1, 0, 1] mixed_110 = [1, 1, 0] assert call_any([]) == 1 assert call_any(zeros) == 0 assert call_any(ones) == 1 assert call_any(mixed_001) == 0 assert call_any(mixed_010) == 0 assert call_any(mixed_100) == 0 assert call_any(mixed_011) == 0 assert call_any(mixed_101) == 0 assert call_any(mixed_110) == 0 assert call_all([]) == 0 assert call_all(zeros) == 0 assert call_all(ones) == 1 assert call_all(mixed_001) == 1 assert call_all(mixed_010) == 1 assert call_all(mixed_100) == 1 assert call_all(mixed_011) == 1 assert call_all(mixed_101) == 1 assert call_all(mixed_110) == 1 assert call_any_nested([[1, 1, 1], [1, 1], []]) == 1 assert call_any_nested([[1, 1, 1], [0, 1], []]) == 0 [case testSum] from typing import List empty: List[int] = [] def test_sum_of_numbers() -> None: assert sum(x for x in [1, 2, 3]) == 6 assert sum(x for x in [0.0, 1.2, 2]) == 3.2 assert sum(x for x in [1, 1j]) == 1 + 1j def test_sum_callables() -> None: assert sum((lambda x: x == 0)(x) for x in empty) == 0 assert sum((lambda x: x == 0)(x) for x in [0]) == 1 assert sum((lambda x: x == 0)(x) for x in [0, 0, 0]) == 3 assert sum((lambda x: x == 0)(x) for x in [0, 1, 0]) == 2 assert sum((lambda x: x % 2 == 0)(x) for x in range(2**10)) == 2**9 def test_sum_comparisons() -> None: assert sum(x == 0 for x in empty) == 0 assert sum(x == 0 for x in [0]) == 1 assert sum(x == 0 for x in [0, 0, 0]) == 3 assert sum(x == 0 for x in [0, 1, 0]) == 2 assert sum(x % 2 == 0 for x in range(2**10)) == 2**9 def test_sum_multi() -> None: assert sum(i + j == 0 for i, j in zip([0, 0, 0], [0, 1, 0])) == 2 def test_sum_misc() -> None: # misc cases we do optimize (note, according to sum's helptext, we don't need to support # non-numeric cases, but CPython and mypyc both do anyway) assert sum(c == 'd' for c in 'abcdd') == 2 # misc cases we do not optimize assert sum([0, 1]) == 1 assert sum([0, 1], 1) == 2 def test_sum_start_given() -> None: a = 1 assert sum((x == 0 for x in [0, 1]), a) == 2 assert sum(((lambda x: x == 0)(x) for x in empty), 1) == 1 assert sum(((lambda x: x == 0)(x) for x in [0]), 1) == 2 assert sum(((lambda x: x == 0)(x) for x in [0, 0, 0]), 1) == 4 assert sum(((lambda x: x == 0)(x) for x in [0, 1, 0]), 1) == 3 assert sum(((lambda x: x % 2 == 0)(x) for x in range(2**10)), 1) == 2**9 + 1 assert sum((x for x in [1, 1j]), 2j) == 1 + 3j assert sum((c == 'd' for c in 'abcdd'), 1) == 3 [typing fixtures/typing-full.pyi] [case testNoneStuff] from typing import Optional class A: x: int def lol(x: A) -> None: setattr(x, 'x', 5) def none() -> None: return def arg(x: Optional[A]) -> bool: return x is None [file driver.py] import native native.lol(native.A()) # Catch refcounting failures for i in range(10000): native.none() native.arg(None) [case testBorrowRefs] def make_garbage(arg: object) -> None: b = True while b: arg = None b = False [file driver.py] from native import make_garbage import sys def test(): x = object() r0 = sys.getrefcount(x) make_garbage(x) r1 = sys.getrefcount(x) assert r0 == r1 test() [case testFinalStaticRunFail] if False: from typing import Final if bool(): x: 'Final' = [1] def f() -> int: return x[0] [file driver.py] from native import f try: print(f()) except NameError as e: print(e.args[0]) [out] value for final name "x" was not set [case testFinalStaticRunListTupleInt] if False: from typing import Final x: 'Final' = [1] y: 'Final' = (1, 2) z: 'Final' = 1 + 1 def f() -> int: return x[0] def g() -> int: return y[0] def h() -> int: return z - 1 [file driver.py] from native import f, g, h, x, y, z print(f()) print(x[0]) print(g()) print(y) print(h()) print(z) [out] 1 1 1 (1, 2) 1 2 [case testCheckVersion] import sys if sys.version_info[:2] == (3, 14): def version() -> int: return 14 elif sys.version_info[:2] == (3, 13): def version() -> int: return 13 elif sys.version_info[:2] == (3, 12): def version() -> int: return 12 elif sys.version_info[:2] == (3, 11): def version() -> int: return 11 elif sys.version_info[:2] == (3, 10): def version() -> int: return 10 elif sys.version_info[:2] == (3, 9): def version() -> int: return 9 else: raise Exception("we don't support this version yet!") [file driver.py] import sys version = sys.version_info[:2] import native assert native.version() == sys.version_info[1] [case testTypeErrorMessages] from typing import Tuple class A: pass class B: pass def f(x: B) -> None: pass def g(x: Tuple[int, A]) -> None: pass [file driver.py] from testutil import assertRaises from native import A, f, g class Busted: pass Busted.__module__ = None with assertRaises(TypeError, "int"): f(0) with assertRaises(TypeError, "native.A"): f(A()) with assertRaises(TypeError, "tuple[None, native.A]"): f((None, A())) with assertRaises(TypeError, "tuple[tuple[int, str], native.A]"): f(((1, "ha"), A())) with assertRaises(TypeError, "tuple[<50 items>]"): f(tuple(range(50))) with assertRaises(TypeError, "errored formatting real type!"): f(Busted()) with assertRaises(TypeError, "tuple[int, native.A] object expected; got tuple[int, int]"): g((20, 30)) [case testComprehensionShadowBinder] def foo(x: object) -> object: if isinstance(x, list): return tuple(x for x in x), x return None [file driver.py] from native import foo assert foo(None) == None assert foo([1, 2, 3]) == ((1, 2, 3), [1, 2, 3]) [case testAllLiterals] # Test having all sorts of literals in a single file def test_str() -> None: assert '' == eval("''") assert len('foo bar' + str()) == 7 assert 'foo bar' == eval("'foo bar'") assert 'foo\u1245\0bar' == eval("'foo' + chr(0x1245) + chr(0) + 'bar'") assert 'foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345' == eval("'foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345'") assert 'Zoobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar123' == eval("'Zoobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar123'") def test_bytes() -> None: assert b'' == eval("b''") assert b'foo bar' == eval("b'foo bar'") assert b'\xafde' == eval(r"b'\xafde'") assert b'foo\xde\0bar' == eval("b'foo' + bytes([0xde, 0]) + b'bar'") assert b'foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345' == eval("b'foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345foobar12345'") def test_int() -> None: assert 2875872359823758923758923759 == eval('2875872359823758923758923759') assert -552875872359823758923758923759 == eval('-552875872359823758923758923759') def test_float() -> None: assert 1.5 == eval('1.5') assert -3.75 == eval('-3.75') assert 2.5e10 == eval('2.5e10') assert 2.5e50 == eval('2.5e50') assert 2.5e1000 == eval('2.5e1000') assert -2.5e1000 == eval('-2.5e1000') def test_complex() -> None: assert 1.5j == eval('1.5j') assert 1.5j + 2.5 == eval('2.5 + 1.5j') assert -3.75j == eval('-3.75j') assert 2.5e10j == eval('2.5e10j') assert 2.5e50j == eval('2.5e50j') assert 2.5e1000j == eval('2.5e1000j') assert 2.5e1000j + 3.5e2000 == eval('3.5e2000 + 2.5e1000j') assert -2.5e1000j == eval('-2.5e1000j') [case testUnreachableExpressions] from typing import cast import sys def test_unreachable() -> None: A = sys.platform == 'x' and foobar B = sys.platform == 'x' and sys.foobar C = sys.platform == 'x' and f(a, -b, 'y') > [c + e, g(y=2)] C = sys.platform == 'x' and cast(a, b[c]) C = sys.platform == 'x' and (lambda x: y + x) C = sys.platform == 'x' and (x for y in z) C = sys.platform == 'x' and [x for y in z] C = sys.platform == 'x' and {x: x for y in z} C = sys.platform == 'x' and {x for y in z} assert not A assert not B assert not C [case testDoesntSegfaultWhenTopLevelFails] # make the initial import fail assert False [file driver.py] # load native, cause PyInit to be run, create the module but don't finish initializing the globals for _ in range(2): try: import native raise RuntimeError('exception expected') except AssertionError: pass [case testUnderscoreFunctionsInMethods] class A: def _(arg): pass def _(arg): pass class B(A): def _(arg): pass def _(arg): pass def test_underscore() -> None: A() B() [case testGlobalRedefinition_toplevel] # mypy: allow-redefinition i = 0 i += 1 i = "foo" i += i i = b"foo" def test_redefinition() -> None: assert i == b"foo" [case testWithNative] class DummyContext: def __init__(self): self.c = 0 def __enter__(self) -> None: self.c += 1 def __exit__(self, exc_type, exc_val, exc_tb) -> None: self.c -= 1 def test_dummy_context() -> None: c = DummyContext() with c: assert c.c == 1 assert c.c == 0 [case testWithNativeVarArgs] class DummyContext: def __init__(self): self.c = 0 def __enter__(self) -> None: self.c += 1 def __exit__(self, *args: object) -> None: self.c -= 1 def test_dummy_context() -> None: c = DummyContext() with c: assert c.c == 1 assert c.c == 0 [case testIsInstanceTuple] from typing import Any def isinstance_empty(x: Any) -> bool: return isinstance(x, ()) def isinstance_single(x: Any) -> bool: return isinstance(x, (str,)) def isinstance_multi(x: Any) -> bool: return isinstance(x, (str, int)) def test_isinstance_empty() -> None: assert isinstance_empty("a") is False assert isinstance_empty(1) is False assert isinstance_empty(None) is False def test_isinstance_single() -> None: assert isinstance_single("a") is True assert isinstance_single(1) is False assert isinstance_single(None) is False def test_isinstance_multi() -> None: assert isinstance_multi("a") is True assert isinstance_multi(1) is True assert isinstance_multi(None) is False ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-multimodule.test0000644000175100017510000003703215112307767021356 0ustar00runnerrunner-- These test cases compile two or more modules at a time. -- Any file prefixed with "other" is compiled. -- -- Note that these are run in three compilation modes: regular, -- multi-file and separate. See the docstrings of -- mypyc.test.test_run.TestRunMultiFile and -- mypyc.test.test_run.TestRunSeparate for more information. -- -- Some of these files perform multiple incremental runs. See -- test-data/unit/check-incremental.test for more information -- about how this is specified (e.g. .2 file name suffixes). [case testMultiModulePackage] from p.other import g, _i as i def f(x: int) -> int: from p.other import h return i(h(g(x + 1))) [file p/__init__.py] [file p/other.py] def g(x: int) -> int: return x + 2 def h(x: int) -> int: return x + 1 def _i(x: int) -> int: return x + 3 [file driver.py] import native from native import f from p.other import g assert f(3) == 10 assert g(2) == 4 try: f(1.1) except TypeError: pass else: assert False try: g(1.1) except TypeError: pass else: assert False [case testMultiModuleFastpaths] [file other_main.py] [file other_main.py.2] from other_b import A, func class B(A): pass def test() -> None: a = A() assert func() == 12 assert a.method() == "test" test() [file other_b.py] class A: def method(self) -> str: return "test" def func() -> int: return 12 # Remove all the methods and functions from globals to ensure that # they get called via the fastpaths even when doing incremental # compilation. setattr(A, 'method', None) setattr(A, '__init__', None) globals()['func'] = None globals()['A'] = None [file driver.py] import other_main [case testMultiModuleSameNames] # Use same names in both modules import other def f() -> int: return 0 class C: x: int def __init__(self) -> None: self.x = 1 def f(self, x: int) -> int: return self.x + x class D(C): pass def g(x: 'other.C') -> None: pass [file other.py] def f(x: int) -> int: return x + 1 class C: x: int def __init__(self) -> None: self.x = 2 def f(self, x: int) -> int: return self.x + x + 1 class D(C): pass [file driver.py] import native, other assert native.f() == 0 assert other.f(3) == 4 c1 = native.C() c1.x += 3 c2 = other.C() c2.x += 6 assert c1.f(9) == 1 + 3 + 9 assert c2.f(7) == 2 + 6 + 7 + 1 assert isinstance(native.D(), native.C) assert isinstance(other.D(), other.C) assert not isinstance(native.D(), other.C) assert not isinstance(other.D(), native.C) [case testMultiModuleInitializeImportedModules] from other import f def g() -> int: return f(1) [file other.py] def f(x: int) -> int: return x + 4 [file driver.py] import sys assert 'other' not in sys.modules from native import g assert 'other' in sys.modules assert g() == 5 f = sys.modules['other'].f assert f(1) == 5 try: f(1.1) except TypeError: pass else: assert False [case testMultiModuleImportClass] from typing import cast from other import C, a_global class D(C): def __init__(self, x: int) -> None: self.x = x def f(c: C) -> int: d = D(3) o: object = c c = cast(C, o) return a_global + c.x + c.f() + d.x + d.f() + 1 [file other.py] from typing import Final a_global: Final = int('5') class C: x: int def __init__(self, x: int) -> None: self.x = x def __hash__(self) -> int: return self.x def __str__(self) -> str: return str(self.x) def f(self) -> int: return 2 def check(self) -> None: assert isinstance(self, C) [file driver.py] from native import f, D from other import C c = C(4) assert f(c) == 5 + 4 + 2 + 3 + 2 + 1 assert str(D(10)) == '10' assert hash(10) == 10 try: f(1) except TypeError: pass else: assert False assert isinstance(D(10), C) c.check() D(10).check() [case testMultiModuleSpecialize] from other import A class B(A): def foo(self, x: object) -> int: print(2) return id(x) [file other.py] class A: def foo(self, x: int) -> object: print(1) return str(x) def use_a(x: A, y: int) -> object: return x.foo(y) [file driver.py] from native import B from other import A, use_a a = A() b = B() o = object() i = 10 assert a.foo(10) == '10' assert b.foo(o) == id(o) assert use_a(a, 10) == '10' assert use_a(b, i) == id(i) [out] 1 2 1 2 [case testMultiModuleLiterals] from other import gs, gi, gf def fs() -> str: return 'f' + gs() def fi() -> int: return 10001000100010001000 + gi() def ff() -> float: return 2.0 + gf() [file other.py] def gi() -> int: return 20001000100010001000 def gs() -> str: return 'g' def gf() -> float: return 3.0 [file driver.py] from native import fs, fi, ff assert fs() == 'fg' assert fi() == 30002000200020002000 assert ff() == 5.0 [case testMultiModuleTraceback] from other import fail2 def fail() -> None: fail2() [file other.py] def fail2() -> None: x = [1] x[2] = 2 [file driver.py] import traceback import sys import native import other try: other.fail2() except IndexError: tb = sys.exc_info()[2] assert tb.tb_next.tb_frame.f_globals is other.__dict__ traceback.print_exc() try: native.fail() except IndexError: tb = sys.exc_info()[2] assert tb.tb_next.tb_frame.f_globals is native.__dict__ traceback.print_exc() [out] Traceback (most recent call last): File "driver.py", line 6, in other.fail2() File "other.py", line 3, in fail2 x[2] = 2 IndexError: list assignment index out of range Traceback (most recent call last): File "driver.py", line 12, in native.fail() File "native.py", line 4, in fail fail2() File "other.py", line 3, in fail2 x[2] = 2 IndexError: list assignment index out of range [out version>=3.13] Traceback (most recent call last): File "driver.py", line 6, in other.fail2() ~~~~~~~~~~~^^ File "other.py", line 3, in fail2 x[2] = 2 IndexError: list assignment index out of range Traceback (most recent call last): File "driver.py", line 12, in native.fail() ~~~~~~~~~~~^^ File "native.py", line 4, in fail fail2() File "other.py", line 3, in fail2 x[2] = 2 IndexError: list assignment index out of range [case testMultiModuleCycle] if False: from typing import Final import other x = int('0') # type: Final def f1() -> int: return other.f2() + other.x def f3() -> int: return 5 [file other.py] if False: from typing import Final import native x = int('0') # type: Final def f2() -> int: return native.f3() + native.x [file driver.py] from native import f1 assert f1() == 5 [case testMultiModuleCycleWithClasses] import other class D: pass def f() -> other.C: return other.C() def g(c: other.C) -> D: return c.d [file other.py] import native class C: def __init__(self) -> None: self.d = native.D() def h(d: native.D) -> None: pass [file driver.py] from native import f, g from other import C, h c = f() assert isinstance(c, C) assert g(c) is c.d h(c.d) try: g(1) except TypeError: pass else: assert False try: h(1) except TypeError: pass else: assert False [case testMultiModuleCycleWithInheritance] import other class Deriv1(other.Base1): def __init__(self) -> None: super().__init__() class Base2: y: int def __init__(self) -> None: self.y = 2 [file other.py] from typing import Tuple import native class Base1: a: Tuple[int, int] x: int def __init__(self) -> None: self.x = 1 def make_2() -> native.Base2: return native.Base2() [file driver.py] from native import Deriv1 from other import make_2 a = Deriv1() assert a.x == 1 b = make_2() assert b.y == 2 [case testMultiModuleTraitInheritance] from other import Base1, Base2 class Deriv1(Base1, Base2): pass [file other.py] from mypy_extensions import trait @trait class Base1: def foo(self) -> int: return 10 @trait class Base2: def bar(self) -> int: return 12 [file driver.py] from native import Deriv1 a = Deriv1() assert a.foo() == 10 and a.bar() == 12 [case testImportCycleWithNonCompiledModule] import m class C: pass def f1() -> int: m.D() return m.f2() def f3() -> int: return 2 [file m.py] # This module is NOT compiled import native class D: pass def f2() -> int: native.C() return native.f3() [file driver.py] from native import f1 assert f1() == 2 [case testImportCycleWithTopLevelStatements] import other x = 1 print(x) [file other.py] import native x = 2 print(x) [file driver.py] import other print('-') import native print('>', native.x) print('>', other.x) [out] 1 2 - > 1 > 2 [case testMultiModuleCycleIfMypy1] from other import foo, bar class Foo: def foo(self) -> None: foo(self) class Bar: def bar(self) -> None: bar(self) [file other.py] from typing import TYPE_CHECKING MYPY = False if MYPY: from native import Foo if TYPE_CHECKING: from native import Bar def foo(x: 'Foo') -> None: pass def bar(x: 'Bar') -> None: pass [file driver.py] from native import Foo, Bar Foo().foo() Bar().bar() [case testMultiModuleCycleIfMypy2] MYPY = False if MYPY: from other import C class D: def __init__(self) -> None: self.y = 1 def f(c: 'C') -> int: return c.x [file other.py] from typing import TYPE_CHECKING if TYPE_CHECKING: from native import D class C: def __init__(self) -> None: self.x = 2 def g(d: 'D') -> int: return d.y [file driver.py] from native import f, D from other import g, C assert f(C()) == 2 assert g(D()) == 1 try: f(D()) except TypeError: pass else: assert False try: g(C()) except TypeError: pass else: assert False [case testMultiModuleRelative] from package.a import f [file package/__init__.py] [file package/a.py] from . import b from .c import c3 def f() -> None: print("Hello " + b.b2()) print("Hello " + c3()) [file package/b.py] def b2() -> str: return "moon!" [file package/c.py] def c3() -> str: return "sun!" [file driver.py] from native import f f() [out] Hello moon! Hello sun! [case testMultiModuleCrash] b = False if b: import other def foo() -> None: try: other.x except: pass else: assert False [file other.py] x = 10 [file driver.py] from native import foo foo() [case testTrivialIncremental] # separate: [(["other.py", "other_b.py"], "stuff")] from other import x from other_b import z y = x + z [file other.py] x = 1 [file other.py.2] x = 2 [file other_b.py] z = 1 [file driver.py] from native import y print(y) [out] 2 [out2] 3 [rechecked other, other_b] [case testIncrementalCompilation1] import non_native from other_a import A from other_b import z a = A() assert a.y == z assert non_native.foo() == 0 [file other_a.py] from other_b import z from typing import Iterable class A: def __init__(self) -> None: self.y = z [file other_a.py.2] from other_b import z from typing import Iterable class A: def __init__(self) -> None: self.x = 'test' self.y = z [file other_b.py] import other_a z = 10 def foo() -> 'other_a.A': return other_a.A() [file other_b.py.3] import other_a z = 20 def foo() -> 'other_a.A': return other_a.A() [file non_native.py] import other_a def foo() -> int: return 0 [file non_native.py.4] import other_a def foo() -> float: return 0 [file driver.py] from native import a print(a.y, getattr(a, 'x', None)) [out] 10 None [out2] 10 test [out3] 20 test [out4] 20 test [rechecked other_a, other_b, native, non_native] [rechecked2 other_a, other_b] [rechecked3 native, non_native] -- This one tests a group that is not an SCC. [case testIncrementalCompilation2] # separate: [(["other_a.py", "other_b.py"], "stuff")] from other_a import A from other_b import z a = A() assert a.y == z [file other_a.py] from other_b import z class A: def __init__(self) -> None: self.y = z [file other_a.py.2] from other_b import z class A: def __init__(self) -> None: self.x = 'test' self.y = z [file other_b.py] z = 10 [file driver.py] from native import a print(a.y, getattr(a, 'x', None)) [out] 10 None [out2] 10 test [rechecked other_a, other_b, native] [case testIncrementalCompilation3] from other import X Y = X def foo() -> int: return X [file other.py] from typing import Final X: Final = 10 [file other.py.2] from typing import Final X: Final = 20 [file driver.py] import native import other assert native.Y == other.X assert native.foo() == other.X [rechecked native, other] -- This one tests a group changing [case testIncrementalCompilation4] # separate: [(["other_a.py", "other_b.py"], "stuff")] # separate2: [] from other_a import A from other_b import z a = A() assert a.y == z [file other_a.py] from other_b import z class A: def __init__(self) -> None: self.y = z [file other_b.py] z = 10 [file wtvr.py.2] [file driver.py] from native import a print(a.y, getattr(a, 'x', None)) [out] 10 None [out2] 10 None [rechecked other_a, other_b, native] -- This one tests cases where other modules *do not* need rechecked [case testIncrementalCompilation5] import other_a [file other_a.py] from other_b import f assert f(10) == 20 [file other_a.py.2] from other_b import f assert f(20) == 40 [file other_b.py] def f(x: int) -> int: return x * 2 [file driver.py] import native [rechecked other_a] -- Delete one of the C files and make sure this forces recompilation [case testIncrementalCompilation6] import other_a assert other_a.foo() == 10 [file other_a.py] def foo() -> int: return 10 [file build/__native_other_a.c] [delete build/__native_other_a.c.2] [file driver.py] import native [rechecked other_a] [case testSeparateCompilationWithUndefinedAttribute] from other_a import A def f() -> None: a = A() if a.x == 5: print(a.y) print(a.m()) else: assert a.x == 6 try: print(a.y) except AttributeError: print('y undefined') else: assert False try: print(a.m()) except AttributeError: print('y undefined') else: assert False [file other_a.py] from other_b import B class A(B): def __init__(self) -> None: self.y = 9 [file other_a.py.2] from other_b import B class A(B): x = 6 def __init__(self) -> None: pass [file other_b.py] class B: x = 5 def __init__(self) -> None: self.y = 7 def m(self) -> int: return self.y [file driver.py] from native import f f() [rechecked native, other_a] [out] 9 9 [out2] y undefined y undefined [case testIncrementalCompilationWithDeletable] import other_a [file other_a.py] from other_b import C [file other_a.py.2] from other_b import C c = C() print(getattr(c, 'x', None)) del c.x print(getattr(c, 'x', None)) [file other_b.py] class C: __deletable__ = ['x'] def __init__(self) -> None: self.x = 0 [file driver.py] import native [out] [out2] 0 None [case testIncrementalCompilationWithNonClassTypeDef] import other_a [file other_a.py] from other_b import MyInt [file other_a.py.2] from other_b import MyInt, NT, TD i = MyInt(42) def f(x: MyInt) -> int: return x + 1 def g(x: int) -> MyInt: return MyInt(x + 2) print(i) print(f(i)) print(g(13)) def make_nt(x: int) -> NT: return NT(x=MyInt(x)) print(make_nt(4)) def make_td(x: int) -> TD: return {"x": MyInt(x)} print(make_td(5)) [file other_b.py] from typing import NewType, NamedTuple, TypedDict from enum import Enum MyInt = NewType("MyInt", int) NT = NamedTuple("NT", [("x", MyInt)]) TD = TypedDict("TD", {"x": MyInt}) [file driver.py] import native [typing fixtures/typing-full.pyi] [out] [out2] 42 43 15 NT(x=4) {'x': 5} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-mypy-sim.test0000644000175100017510000000762015112307767020602 0ustar00runnerrunner-- Some test code that tries to simulate important/interesting parts of mypy itself! [case testSimulateMypy] from mypy_extensions import trait from typing import List, TypeVar, cast, Generic from abc import abstractmethod import other_strconv as strconv #from other_visitor import ExpressionVisitor, StatementVisitor, NodeVisitor import other_visitor as visitor T = TypeVar('T') ############ nodes.py class Context: def __init__(self) -> None: self.line = -1 def set_line(self, line: int) -> None: self.line = line class Node(Context): def accept(self, visitor: visitor.NodeVisitor[T]) -> T: return cast(T, None) def to_str(self) -> str: return self.accept(strconv.StrConv()) @trait class Statement(Node): def accept(self, visitor: visitor.StatementVisitor[T]) -> T: return cast(T, None) @trait class Expression(Node): def accept(self, visitor: visitor.ExpressionVisitor[T]) -> T: return cast(T, None) @trait class SymbolNode(Node): """Nodes that can be stored in a symbol table.""" @abstractmethod def name(self) -> str: return cast(str, None) class FuncBase(Node): def __init__(self) -> None: super().__init__() self.is_static = False class Block(Statement): def __init__(self, stmts: List[Statement]) -> None: self.stmts = stmts def accept(self, visitor: visitor.StatementVisitor[T]) -> T: return visitor.visit_block(self) class ExprStmt(Statement): def __init__(self, expr: Expression) -> None: self.expr = expr def accept(self, visitor: visitor.StatementVisitor[T]) -> T: return visitor.visit_expr_stmt(self) class FuncItem(FuncBase): def __init__(self, body: Block) -> None: self.body = body class FuncDef(FuncItem, SymbolNode, Statement): def __init__(self, name: str, body: Block) -> None: super().__init__(body) self._name = name def accept(self, visitor: visitor.StatementVisitor[T]) -> T: return visitor.visit_func_def(self) def name(self) -> str: return self._name class LambdaExpr(FuncItem, Expression): def accept(self, visitor: visitor.ExpressionVisitor[T]) -> T: return visitor.visit_lambda_expr(self) def lol(x: Statement) -> int: return x.line [file other_visitor.py] from mypy_extensions import trait from typing import TypeVar, cast, Generic from abc import abstractmethod import native as nodes T = TypeVar('T') @trait class ExpressionVisitor(Generic[T]): @abstractmethod def visit_lambda_expr(self, o: 'nodes.LambdaExpr') -> T: return cast(T, None) @trait class StatementVisitor(Generic[T]): @abstractmethod def visit_block(self, o: 'nodes.Block') -> T: return cast(T, None) @abstractmethod def visit_func_def(self, o: 'nodes.FuncDef') -> T: return cast(T, None) @abstractmethod def visit_expr_stmt(self, o: 'nodes.ExprStmt') -> T: return cast(T, None) @trait class NodeVisitor(Generic[T], ExpressionVisitor[T], StatementVisitor[T]): pass [file other_strconv.py] from typing import List import native as nodes from other_visitor import NodeVisitor class StrConv(NodeVisitor[str]): def visit_block(self, b: nodes.Block) -> str: # we really need comprehensions! # TODO: PartialType unsupported things = [] # type: List[str] for s in b.stmts: things.append(s.accept(self)) return "{" + "; ".join(things) + "}" def visit_func_def(self, f: nodes.FuncDef) -> str: return "def " + f.name() + "(): " + f.body.accept(self) def visit_expr_stmt(self, e: nodes.ExprStmt) -> str: return e.expr.accept(self) def visit_lambda_expr(self, b: nodes.LambdaExpr) -> str: return "(fn: " + b.body.accept(self) + ")" [file driver.py] from native import * block = Block([Block([]), ExprStmt(LambdaExpr(Block([])))]) fn = FuncDef('test', block) assert fn.to_str() == "def test(): {{}; (fn: {})}" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-primitives.test0000644000175100017510000001755415112307767021220 0ustar00runnerrunner# Test cases for misc primitives (compile and run) # # Please only add tests that don't have an obvious place in type-specific test # files such as run-strings.test, run-lists.test, etc. [case testGenericEquality] def eq(a: object, b: object) -> bool: if a == b: return True else: return False def ne(a: object, b: object) -> bool: if a != b: return True else: return False def f(o: object) -> bool: if [1, 2] == o: return True else: return False [file driver.py] from native import eq, ne, f assert eq('xz', 'x' + 'z') assert not eq('x', 'y') assert not ne('xz', 'x' + 'z') assert ne('x', 'y') assert f([1, 2]) assert not f([2, 2]) assert not f(1) [case testGenericBinaryOps] from typing import Any def add(x: Any, y: Any) -> Any: return x + y def subtract(x: Any, y: Any) -> Any: return x - y def multiply(x: Any, y: Any) -> Any: return x * y def floor_div(x: Any, y: Any) -> Any: return x // y def true_div(x: Any, y: Any) -> Any: return x / y def remainder(x: Any, y: Any) -> Any: return x % y def power(x: Any, y: Any) -> Any: return x ** y def lshift(x: Any, y: Any) -> Any: return x << y def rshift(x: Any, y: Any) -> Any: return x >> y def num_and(x: Any, y: Any) -> Any: return x & y def num_xor(x: Any, y: Any) -> Any: return x ^ y def num_or(x: Any, y: Any) -> Any: return x | y def lt(x: Any, y: Any) -> Any: if x < y: return True else: return False def le(x: Any, y: Any) -> Any: if x <= y: return True else: return False def gt(x: Any, y: Any) -> Any: if x > y: return True else: return False def ge(x: Any, y: Any) -> Any: if x >= y: return True else: return False def contains(x: Any, y: Any) -> Any: if x in y: return True else: return False def identity(x: Any, y: Any) -> Any: if x is y: return True else: return False def disidentity(x: Any, y: Any) -> Any: if x is not y: return True else: return False def not_eq_cond(a: Any, b: Any) -> bool: if not (a == b): return True else: return False def eq2(a: Any, b: Any) -> bool: return a == b def slice1(x: Any) -> Any: return x[:] def slice2(x: Any, y: Any) -> Any: return x[y:] def slice3(x: Any, y: Any) -> Any: return x[:y] def slice4(x: Any, y: Any, z: Any) -> Any: return x[y:z] def slice5(x: Any, y: Any, z: Any, zz: Any) -> Any: return x[y:z:zz] [file driver.py] from native import * assert add(5, 6) == 11 assert add('x', 'y') == 'xy' assert subtract(8, 3) == 5 assert multiply(8, 3) == 24 assert floor_div(8, 3) == 2 assert true_div(7, 2) == 3.5 assert remainder(11, 4) == 3 assert remainder('%.3d', 5) == '005' assert remainder('%d-%s', (5, 'xy')) == '5-xy' assert power(3, 4) == 81 assert lshift(5, 3) == 40 assert rshift(41, 3) == 5 assert num_and(99, 56) == 32 assert num_xor(99, 56) == 91 assert num_or(99, 56) == 123 assert lt('a', 'b') assert not lt('a', 'a') assert not lt('b', 'a') assert not gt('a', 'b') assert not gt('a', 'a') assert gt('b', 'a') assert le('a', 'b') assert le('a', 'a') assert not le('b', 'a') assert not ge('a', 'b') assert ge('a', 'a') assert ge('b', 'a') assert contains('x', 'axb') assert not contains('X', 'axb') assert contains('x', {'x', 'y'}) a = [1, 3, 5] assert slice1(a) == a assert slice1(a) is not a assert slice2(a, 1) == [3, 5] assert slice3(a, -1) == [1, 3] assert slice4(a, 1, -1) == [3] assert slice5(a, 2, 0, -1) == [5, 3] o1, o2 = object(), object() assert identity(o1, o1) assert not identity(o1, o2) assert not disidentity(o1, o1) assert disidentity(o1, o2) assert eq2('xz', 'x' + 'z') assert not eq2('x', 'y') assert not not_eq_cond('xz', 'x' + 'z') assert not_eq_cond('x', 'y') [case testGenericMiscOps] from typing import Any def neg(x: Any) -> Any: return -x def pos(x: Any) -> Any: return +x def invert(x: Any) -> Any: return ~x def get_item(o: Any, k: Any) -> Any: return o[k] def set_item(o: Any, k: Any, v: Any) -> Any: o[k] = v [file driver.py] from native import * assert neg(6) == -6 assert pos(6) == 6 assert invert(6) == -7 d = {'x': 5} assert get_item(d, 'x') == 5 set_item(d, 'y', 6) assert d['y'] == 6 [case testAnyAttributeAndMethodAccess] from typing import Any, List class C: a: int def m(self, x: int, a: List[int]) -> int: return self.a + x + a[0] def get_a(x: Any) -> Any: return x.a def set_a(x: Any, y: Any) -> None: x.a = y def call_m(x: Any) -> Any: return x.m(1, [3]) [file driver.py] from native import C, get_a, set_a, call_m class D: def m(self, x, a): return self.a + x + a[0] c = C() c.a = 6 d = D() d.a = 2 assert get_a(c) == 6 assert get_a(d) == 2 assert call_m(c) == 10 assert call_m(d) == 6 set_a(c, 5) assert c.a == 5 set_a(d, 4) assert d.a == 4 try: get_a(object()) except AttributeError: pass else: assert False try: call_m(object()) except AttributeError: pass else: assert False try: set_a(object(), 5) except AttributeError: pass else: assert False [case testFloat] def assign_and_return_float_sum() -> float: f1 = 1.0 f2 = 2.0 f3 = 3.0 return f1 * f2 + f3 def from_int(i: int) -> float: return float(i) def to_int(x: float) -> int: return int(x) def get_complex() -> complex: return 5.2j + 3.5 + 1j [file driver.py] from native import assign_and_return_float_sum, from_int, to_int, get_complex sum = 0.0 for i in range(10): sum += assign_and_return_float_sum() assert sum == 50.0 assert str(from_int(10)) == '10.0' assert str(to_int(3.14)) == '3' assert str(to_int(3)) == '3' assert get_complex() == 3.5 + 6.2j [case testDel] from typing import List from testutil import assertRaises def printDict(dict) -> None: l = list(dict.keys()) # type: List[str] l.sort() for key in l: print(key, dict[key]) print("#########") def delList() -> None: l = [1, 2, 3] print(tuple(l)) del l[1] print(tuple(l)) def delDict() -> None: d = {"one":1, "two":2} printDict(d) del d["one"] printDict(d) def delListMultiple() -> None: l = [1, 2, 3, 4, 5, 6, 7] print(tuple(l)) del l[1], l[2], l[3] print(tuple(l)) def delDictMultiple() -> None: d = {"one":1, "two":2, "three":3, "four":4} printDict(d) del d["two"], d["four"] printDict(d) class Dummy(): __deletable__ = ('x', 'y') def __init__(self, x: int, y: int) -> None: self.x = x self.y = y def delAttribute() -> None: dummy = Dummy(1, 2) del dummy.x with assertRaises(AttributeError): dummy.x def delAttributeMultiple() -> None: dummy = Dummy(1, 2) del dummy.x, dummy.y with assertRaises(AttributeError): dummy.x with assertRaises(AttributeError): dummy.y def delLocal(b: bool) -> int: dummy = 10 if b: del dummy return dummy def delLocalLoop() -> None: # Try deleting a local in a loop to make sure the control flow analysis works dummy = 1 for i in range(10): print(dummy) dummy *= 2 if i == 4: del dummy global_var = 10 del global_var [file driver.py] from native import ( delList, delDict, delListMultiple, delDictMultiple, delAttribute, delAttributeMultiple, delLocal, delLocalLoop, ) import native from testutil import assertRaises delList() delDict() delListMultiple() delDictMultiple() delAttribute() delAttributeMultiple() with assertRaises(AttributeError): native.global_var with assertRaises(UnboundLocalError, 'local variable "dummy" referenced before assignment'): delLocal(True) assert delLocal(False) == 10 with assertRaises(UnboundLocalError, 'local variable "dummy" referenced before assignment'): delLocalLoop() [out] (1, 2, 3) (1, 3) one 1 two 2 ######### two 2 ######### (1, 2, 3, 4, 5, 6, 7) (1, 3, 5, 7) four 4 one 1 three 3 two 2 ######### one 1 three 3 ######### 1 2 4 8 16 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-python312.test0000644000175100017510000001262115112307767020562 0ustar00runnerrunner[case testPEP695Basics] from enum import Enum from typing import Any, Literal, TypeAliasType, cast from testutil import assertRaises def id[T](x: T) -> T: return x def test_call_generic_function() -> None: assert id(2) == 2 assert id('x') == 'x' class C[T]: x: T def __init__(self, x: T) -> None: self.x = x class D[T, S]: x: T y: S def __init__(self, x: T, y: S) -> None: self.x = x self.y = y def set(self, x: object, y: object) -> None: self.x = cast(T, x) self.y = cast(S, y) def test_generic_class() -> None: c = C(5) assert c.x == 5 c2 = C[str]('x') assert c2.x == 'x' d = D[str, int]('a', 5) assert d.x == 'a' assert d.y == 5 d.set('b', 6) assert d.x == 'b' assert d.y == 6 def test_generic_class_via_any() -> None: c_any: Any = C c = c_any(2) assert c.x == 2 c2 = c_any[str]('y') assert c2.x == 'y' assert str(c_any[str]) == 'native.C[str]' d_any: Any = D d = d_any(1, 'x') assert d.x == 1 assert d.y == 'x' d2 = d_any[int, str](2, 'y') assert d2.x == 2 assert d2.y == 'y' with assertRaises(TypeError): c_any[int, str] with assertRaises(TypeError): d_any[int] class E[*Ts]: pass def test_type_var_tuple() -> None: e: E[int, str] = E() e_any: Any = E assert isinstance(e_any(), E) assert isinstance(e_any[int](), E) assert isinstance(e_any[int, str](), E) class F[**P]: pass def test_param_spec() -> None: f: F[[int, str]] = F() f_any: Any = F assert isinstance(f_any(), F) assert isinstance(f_any[[int, str]](), F) class SubC[S](C[S]): def __init__(self, x: S) -> None: super().__init__(x) def test_generic_subclass() -> None: s = SubC(1) assert s.x == 1 s2 = SubC[str]('y') assert s2.x == 'y' sub_any: Any = SubC assert sub_any(1).x == 1 assert sub_any[str]('x').x == 'x' assert isinstance(s, SubC) assert isinstance(s, C) class SubD[ T, # Put everything on separate lines S]( D[T, S]): pass def test_generic_subclass_two_params() -> None: s = SubD(3, 'y') assert s.x == 3 assert s.y == 'y' s2 = SubD[str, int]('z', 4) assert s2.x == 'z' assert s2.y == 4 sub_any: Any = SubD assert sub_any(3, 'y').y == 'y' assert sub_any[int, str](3, 'y').y == 'y' assert isinstance(s, SubD) assert isinstance(s, D) class SubE[*Ts](E[*Ts]): pass def test_type_var_tuple_subclass() -> None: sub_any: Any = SubE assert isinstance(sub_any(), SubE) assert isinstance(sub_any(), E) assert isinstance(sub_any[int](), SubE) assert isinstance(sub_any[int, str](), SubE) class SubF[**P](F[P]): pass def test_param_spec_subclass() -> None: sub_any: Any = SubF assert isinstance(sub_any(), SubF) assert isinstance(sub_any(), F) assert isinstance(sub_any[[int]](), SubF) assert isinstance(sub_any[[int, str]](), SubF) # We test that upper bounds and restricted values can be used, but not that # they are introspectable def bound[T: C](x: T) -> T: return x def test_function_with_upper_bound() -> None: c = C(1) assert bound(c) is c def restriction[T: (int, str)](x: T) -> T: return x def test_function_with_value_restriction() -> None: assert restriction(1) == 1 assert restriction('x') == 'x' class Bound[T: C]: def __init__(self, x: T) -> None: self.x = x def test_class_with_upper_bound() -> None: c = C(1) b = Bound(c) assert b.x is c b2 = Bound[C](c) assert b2.x is c class Restriction[T: (int, str)]: def __init__(self, x: T) -> None: self.x = x def test_class_with_value_restriction() -> None: r = Restriction(1) assert r.x == 1 r2 = Restriction[str]('a') assert r2.x == 'a' type A = int def test_simple_type_alias() -> None: assert isinstance(A, TypeAliasType) assert getattr(A, "__value__") is int assert str(A) == "A" type B = Fwd[int] Fwd = list def test_forward_reference_in_alias() -> None: assert isinstance(B, TypeAliasType) assert getattr(B, "__value__") == list[int] type R = int | list[R] def test_recursive_type_alias() -> None: assert isinstance(R, TypeAliasType) assert getattr(R, "__value__") == (int | list[R]) class SomeEnum(Enum): AVALUE = "a" type EnumLiteralAlias1 = Literal[SomeEnum.AVALUE] type EnumLiteralAlias2 = Literal[SomeEnum.AVALUE] | None EnumLiteralAlias3 = Literal[SomeEnum.AVALUE] | None [typing fixtures/typing-full.pyi] [case testPEP695GenericTypeAlias] from typing import Callable from types import GenericAlias from testutil import assertRaises type A[T] = list[T] def test_generic_alias() -> None: assert type(A[str]) is GenericAlias assert str(A[str]) == "A[str]" assert str(getattr(A, "__value__")) == "list[T]" type B[T, S] = dict[S, T] def test_generic_alias_with_two_args() -> None: assert str(B[str, int]) == "B[str, int]" assert str(getattr(B, "__value__")) == "dict[S, T]" type C[*Ts] = tuple[*Ts] def test_type_var_tuple_type_alias() -> None: assert str(C[int, str]) == "C[int, str]" assert str(getattr(C, "__value__")) == "tuple[typing.Unpack[Ts]]" type D[**P] = Callable[P, int] def test_param_spec_type_alias() -> None: assert str(D[[int, str]]) == "D[[int, str]]" assert str(getattr(D, "__value__")) == "typing.Callable[P, int]" [typing fixtures/typing-full.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-python37.test0000644000175100017510000000744215112307767020513 0ustar00runnerrunner-- Test cases for Python 3.7 features [case testRunDataclass] import dataclasses from dataclasses import dataclass, field from typing import Set, FrozenSet, List, Callable, Any @dataclass class Person1: age : int name : str def __bool__(self) -> bool: return self.name == 'robot' def testBool(p: Person1) -> bool: if p: return True else: return False @dataclass class Person1b(Person1): id: str = '000' @dataclass class Person2: age : int name : str = field(default='robot') @dataclasses.dataclass class Person2b: age : int name : str = dataclasses.field(default='robot') @dataclass(order = True) class Person3: age : int = field(default = 6) friendIDs : List[int] = field(default_factory = list) def get_age(self) -> int: return (self.age) def set_age(self, new_age : int) -> None: self.age = new_age def add_friendID(self, fid : int) -> None: self.friendIDs.append(fid) def get_friendIDs(self) -> List[int]: return self.friendIDs def get_next_age(g: Callable[[Any], int]) -> Callable[[Any], int]: def f(a: Any) -> int: return g(a) + 1 return f @dataclass class Person4: age : int _name : str = 'Bot' @get_next_age def get_age(self) -> int: return self.age @property def name(self) -> str: return self._name @dataclass class Person5: weight: float friends: Set[str] = field(default_factory=set) parents: FrozenSet[str] = frozenset() [file other.py] from native import Person1, Person1b, Person2, Person3, Person4, Person5, testBool i1 = Person1(age = 5, name = 'robot') assert i1.age == 5 assert i1.name == 'robot' assert testBool(i1) == True assert testBool(Person1(age = 5, name = 'robo')) == False i1b = Person1b(age = 5, name = 'robot') assert i1b.age == 5 assert i1b.name == 'robot' assert testBool(i1b) == True assert testBool(Person1b(age = 5, name = 'robo')) == False i1c = Person1b(age = 20, name = 'robot', id = 'test') assert i1c.age == 20 assert i1c.id == 'test' i2 = Person2(age = 5) assert i2.age == 5 assert i2.name == 'robot' i3 = Person2(age = 5, name = 'new_robot') assert i3.age == 5 assert i3.name == 'new_robot' i4 = Person3() assert i4.age == 6 assert i4.friendIDs == [] i5 = Person3(age = 5) assert i5.age == 5 assert i5.friendIDs == [] i6 = Person3(age = 5, friendIDs = [1,2,3]) assert i6.age == 5 assert i6.friendIDs == [1,2,3] assert i6.get_age() == 5 i6.set_age(10) assert i6.get_age() == 10 i6.add_friendID(4) assert i6.get_friendIDs() == [1,2,3,4] i7 = Person4(age = 5) assert i7.get_age() == 6 i7.age += 3 assert i7.age == 8 assert i7.name == 'Bot' i8 = Person3(age = 1, friendIDs = [1,2]) i9 = Person3(age = 1, friendIDs = [1,2]) assert i8 == i9 i8.age = 2 assert i8 > i9 assert Person1.__annotations__ == {'age': int, 'name': str} assert Person2.__annotations__ == {'age': int, 'name': str} assert Person5.__annotations__ == {'weight': float, 'friends': set, 'parents': frozenset} [file driver.py] import sys # Dataclasses introduced in 3.7 version = sys.version_info[:2] if version[0] < 3 or version[1] < 7: exit() # Run the tests in both interpreted and compiled mode import other import other_interpreted # Test for an exceptional cases from testutil import assertRaises from native import Person1, Person1b, Person3 from types import BuiltinMethodType with assertRaises(TypeError, "missing 1 required positional argument"): Person1(0) with assertRaises(TypeError, "missing 2 required positional arguments"): Person1b() with assertRaises(TypeError, "int object expected; got str"): Person1('nope', 'test') p = Person1(0, 'test') with assertRaises(TypeError, "int object expected; got str"): p.age = 'nope' assert isinstance(Person3().get_age, BuiltinMethodType) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-python38.test0000644000175100017510000000374315112307767020514 0ustar00runnerrunner-- Test cases for Python 3.8 features [case testWalrus1] from typing import Optional def foo(x: int) -> Optional[int]: if x < 0: return None return x def test(x: int) -> str: if (n := foo(x)) is not None: return str(x) else: return "" [file driver.py] from native import test assert test(10) == "10" assert test(-1) == "" [case testWalrus2] from typing import Optional, Tuple, List class Node: def __init__(self, val: int, next: Optional['Node']) -> None: self.val = val self.next = next def pairs(nobe: Optional[Node]) -> List[Tuple[int, int]]: if nobe is None: return [] l = [] while next := nobe.next: l.append((nobe.val, next.val)) nobe = next return l def make(l: List[int]) -> Optional[Node]: cur: Optional[Node] = None for x in reversed(l): cur = Node(x, cur) return cur [file driver.py] from native import Node, make, pairs assert pairs(make([1,2,3])) == [(1,2), (2,3)] assert pairs(make([1])) == [] assert pairs(make([])) == [] [case testFStrings] from datetime import datetime def test_fstring_equal_sign() -> None: today = datetime(year=2017, month=1, day=27) assert f"{today=:%B %d, %Y}" == 'today=January 27, 2017' # using date format specifier and debugging foo = "bar" assert f"{ foo = }" == " foo = 'bar'" # preserves whitespace line = "The mill's closed" assert f"{line = }" == 'line = "The mill\'s closed"' assert f"{line = :20}" == "line = The mill's closed " assert f"{line = !r:20}" == 'line = "The mill\'s closed" ' [case testMethodOverrideDefaultPosOnly1] class Foo: def f(self, x: int=20, /, *, z: int=10) -> None: pass class Bar(Foo): def f(self, *args: int, **kwargs: int) -> None: print("stuff", args, kwargs) def test_pos_only() -> None: z: Foo = Bar() z.f(1, z=50) z.f() z.f(1) z.f(z=50) [out] stuff (1,) {'z': 50} stuff () {} stuff (1,) {} stuff () {'z': 50} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-sets.test0000644000175100017510000001723115112307767017773 0ustar00runnerrunner# Test cases for sets (compile and run) [case testSets] from typing import Set, List def instantiateLiteral() -> Set[int]: return {1, 2, 3, 5, 8} def fromIterator() -> List[Set[int]]: a = set([1, 3, 5]) b = set((1, 3, 5)) c = set({1: '1', 3: '3', 5: '5'}) d = set(x for x in range(1, 6, 2)) e = set((x for x in range(1, 6, 2))) return [a, b, c, d, e] def fromIterator2() -> Set[int]: tmp_list = [1, 2, 3, 4, 5] return set((x + 1) for x in ((y * 10) for y in (z for z in tmp_list if z < 4))) def addIncrementing(s : Set[int]) -> None: for a in [1, 2, 3]: if a not in s: s.add(a) return def replaceWith1(s : Set[int]) -> None: s.clear() s.add(1) def remove1(s : Set[int]) -> None: s.remove(1) def discard1(s: Set[int]) -> None: s.discard(1) def pop(s : Set[int]) -> int: return s.pop() def update(s: Set[int], x: List[int]) -> None: s.update(x) [file driver.py] from native import instantiateLiteral from testutil import assertRaises val = instantiateLiteral() assert 1 in val assert 2 in val assert 3 in val assert 5 in val assert 8 in val assert len(val) == 5 assert val == {1, 2, 3, 5, 8} s = 0 for i in val: s += i assert s == 19 from native import fromIterator sets = fromIterator() for s in sets: assert s == {1, 3, 5} from native import fromIterator2 s = fromIterator2() assert s == {11, 21, 31} from native import addIncrementing s = set() addIncrementing(s) assert s == {1} addIncrementing(s) assert s == {1, 2} addIncrementing(s) assert s == {1, 2, 3} from native import replaceWith1 s = {3, 7, 12} replaceWith1(s) assert s == {1} from native import remove1 import traceback s = {1, 4, 6} remove1(s) assert s == {4, 6} with assertRaises(KeyError, '1'): remove1(s) from native import discard1 s = {1, 4, 6} discard1(s) assert s == {4, 6} discard1(s) assert s == {4, 6} from native import pop s = {1, 2, 3} x = pop(s) assert len(s) == 2 assert x in [1, 2, 3] y = pop(s) assert len(s) == 1 assert y in [1, 2, 3] assert x != y z = pop(s) assert len(s) == 0 assert z in [1, 2, 3] assert x != z assert y != z with assertRaises(KeyError, 'pop from an empty set'): pop(s) from native import update s = {1, 2, 3} update(s, [5, 4, 3]) assert s == {1, 2, 3, 4, 5} [case testFrozenSets] from typing import FrozenSet, List, Any, cast from testutil import assertRaises def instantiateLiteral() -> FrozenSet[int]: return frozenset((1, 2, 3, 5, 8)) def emptyFrozenSet1() -> FrozenSet[int]: return frozenset() def emptyFrozenSet2() -> FrozenSet[int]: return frozenset(()) def fromIterator() -> List[FrozenSet[int]]: a = frozenset([1, 3, 5]) b = frozenset((1, 3, 5)) c = frozenset({1, 3, 5}) d = frozenset({1: '1', 3: '3', 5: '5'}) e = frozenset(x for x in range(1, 6, 2)) f = frozenset((x for x in range(1, 6, 2))) return [a, b, c, d, e, f] def fromIterator2() -> FrozenSet[int]: tmp_list = [1, 2, 3, 4, 5] return frozenset((x + 1) for x in ((y * 10) for y in (z for z in tmp_list if z < 4))) def castFrozenSet() -> FrozenSet[int]: x: Any = frozenset((1, 2, 3, 5, 8)) return cast(FrozenSet, x) def castFrozenSetError() -> FrozenSet[int]: x: Any = {1, 2, 3, 5, 8} return cast(FrozenSet, x) def test_frozen_sets() -> None: val = instantiateLiteral() assert 1 in val assert 2 in val assert 3 in val assert 5 in val assert 8 in val assert len(val) == 5 assert val == {1, 2, 3, 5, 8} s = 0 for i in val: s += i assert s == 19 empty_set1 = emptyFrozenSet1() assert empty_set1 == frozenset() empty_set2 = emptyFrozenSet2() assert empty_set2 == frozenset() sets = fromIterator() for s2 in sets: assert s2 == {1, 3, 5} s3 = fromIterator2() assert s3 == {11, 21, 31} val2 = castFrozenSet() assert val2 == {1, 2, 3, 5, 8} with assertRaises(TypeError, "frozenset object expected; got set"): castFrozenSetError() [case testFrozenSetsFromIterables] from typing import FrozenSet def f(x: int) -> int: return x def f1() -> FrozenSet[int]: tmp_list = [1, 3, 5] return frozenset(f(x) for x in tmp_list) def f2() -> FrozenSet[int]: tmp_tuple = (1, 3, 5) return frozenset(f(x) for x in tmp_tuple) def f3() -> FrozenSet[int]: tmp_set = {1, 3, 5} return frozenset(f(x) for x in tmp_set) def f4() -> FrozenSet[int]: tmp_dict = {1: '1', 3: '3', 5: '5'} return frozenset(f(x) for x in tmp_dict) def f5() -> FrozenSet[int]: return frozenset(f(x) for x in range(1, 6, 2)) def f6() -> FrozenSet[int]: return frozenset((f(x) for x in range(1, 6, 2))) def g1(x: int) -> int: return x def g2(x: int) -> int: return x * 10 def g3(x: int) -> int: return x + 1 def g4() -> FrozenSet[int]: tmp_list = [1, 2, 3, 4, 5] return frozenset(g3(x) for x in (g2(y) for y in (g1(z) for z in tmp_list if z < 4))) def test_frozen_sets_from_iterables() -> None: val = frozenset({1, 3, 5}) assert f1() == val assert f2() == val assert f3() == val assert f4() == val assert f5() == val assert f6() == val assert g4() == frozenset({11, 21, 31}) [case testPrecomputedFrozenSets] from typing import Final, Any CONST: Final = "CONST" non_const = "non_const" def main_set(item: Any) -> bool: return item in {None, False, 1, 2.0, "3", b"4", 5j, (6,), ((7,),), (), CONST} def main_negated_set(item: Any) -> bool: return item not in {None, False, 1, 2.0, "3", b"4", 5j, (6,), ((7,),), (), CONST} def non_final_name_set(item: Any) -> bool: return item in {non_const} s = set() for i in {None, False, 1, 2.0, "3", b"4", 5j, (6,), CONST}: s.add(i) def test_in_set() -> None: for item in (None, False, 1, 2.0, "3", b"4", 5j, (6,), ((7,),), (), CONST): assert main_set(item), f"{item!r} should be in set_main" assert not main_negated_set(item), item global non_const assert non_final_name_set(non_const) non_const = "updated" assert non_final_name_set("updated") def test_for_set() -> None: assert not s ^ {None, False, 1, 2.0, "3", b"4", 5j, (6,), CONST}, s [case testIsInstance] from copysubclass import subset, subfrozenset def test_built_in_set() -> None: assert isinstance(set(), set) assert isinstance({'one', 'two'}, set) assert isinstance({'a', 1}, set) assert isinstance(subset(), set) assert isinstance(subset({'one', 'two'}), set) assert isinstance(subset({'a', 1}), set) assert not isinstance(frozenset(), set) assert not isinstance({}, set) assert not isinstance([], set) assert not isinstance((1,2,3), set) assert not isinstance({1:'a', 2:'b'}, set) assert not isinstance(int() + 1, set) assert not isinstance(str() + 'a', set) def test_user_defined_set() -> None: from userdefinedset import set assert isinstance(set(), set) assert not isinstance({set()}, set) def test_built_in_frozenset() -> None: assert isinstance(frozenset(), frozenset) assert isinstance(frozenset({'one', 'two'}), frozenset) assert isinstance(frozenset({'a', 1}), frozenset) assert isinstance(subfrozenset(), frozenset) assert isinstance(subfrozenset({'one', 'two'}), frozenset) assert isinstance(subfrozenset({'a', 1}), frozenset) assert not isinstance(set(), frozenset) assert not isinstance({}, frozenset) assert not isinstance([], frozenset) assert not isinstance((1,2,3), frozenset) assert not isinstance({1:'a', 2:'b'}, frozenset) assert not isinstance(int() + 1, frozenset) assert not isinstance(str() + 'a', frozenset) [file copysubclass.py] from typing import Any class subset(set[Any]): pass class subfrozenset(frozenset[Any]): pass [file userdefinedset.py] class set: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-signatures.test0000644000175100017510000001646515112307767021211 0ustar00runnerrunner[case testSignaturesBasic] def f1(): pass def f2(x): pass def f3(x, /): pass def f4(*, x): pass def f5(*x): pass def f6(**x): pass def f7(x=None): pass def f8(x=None, /): pass def f9(*, x=None): pass def f10(a, /, b, c=None, *args, d=None, **h): pass [file driver.py] import inspect from native import * assert str(inspect.signature(f1)) == "()" assert str(inspect.signature(f2)) == "(x)" assert str(inspect.signature(f3)) == "(x, /)" assert str(inspect.signature(f4)) == "(*, x)" assert str(inspect.signature(f5)) == "(*x)" assert str(inspect.signature(f6)) == "(**x)" assert str(inspect.signature(f7)) == "(x=None)" assert str(inspect.signature(f8)) == "(x=None, /)" assert str(inspect.signature(f9)) == "(*, x=None)" assert str(inspect.signature(f10)) == "(a, /, b, c=None, *args, d=None, **h)" for fn in [f1, f2, f3, f4, f5, f6, f7, f8, f9, f10]: assert getattr(fn, "__doc__") is None [case testSignaturesValidDefaults] from typing import Final A: Final = 1 def default_int(x=1): pass def default_str(x="a"): pass def default_float(x=1.0): pass def default_true(x=True): pass def default_false(x=False): pass def default_none(x=None): pass def default_tuple_empty(x=()): pass def default_tuple_literals(x=(1, "a", 1.0, False, True, None, (), (1,2,(3,4)))): pass def default_tuple_singleton(x=(1,)): pass def default_named_constant(x=A): pass [file driver.py] import inspect from native import * assert str(inspect.signature(default_int)) == "(x=1)" assert str(inspect.signature(default_str)) == "(x='a')" assert str(inspect.signature(default_float)) == "(x=1.0)" assert str(inspect.signature(default_true)) == "(x=True)" assert str(inspect.signature(default_false)) == "(x=False)" assert str(inspect.signature(default_none)) == "(x=None)" assert str(inspect.signature(default_tuple_empty)) == "(x=())" assert str(inspect.signature(default_tuple_literals)) == "(x=(1, 'a', 1.0, False, True, None, (), (1, 2, (3, 4))))" assert str(inspect.signature(default_named_constant)) == "(x=1)" # Check __text_signature__ directly since inspect.signature produces # an incorrect signature for 1-tuple default arguments prior to # Python 3.12 (cpython#102379). # assert str(inspect.signature(default_tuple_singleton)) == "(x=(1,))" assert getattr(default_tuple_singleton, "__text_signature__") == "(x=(1,))" [case testSignaturesStringDefaults] def f1(x="'foo"): pass def f2(x='"foo'): pass def f3(x=""""Isn\'t," they said."""): pass def f4(x="\\ \a \b \f \n \r \t \v \x00"): pass def f5(x="\N{BANANA}sv"): pass [file driver.py] import inspect from native import * assert str(inspect.signature(f1)) == """(x="'foo")""" assert str(inspect.signature(f2)) == """(x='"foo')""" assert str(inspect.signature(f3)) == r"""(x='"Isn\'t," they said.')""" assert str(inspect.signature(f4)) == r"""(x='\\ \x07 \x08 \x0c \n \r \t \x0b \x00')""" assert str(inspect.signature(f5)) == """(x='\N{BANANA}sv')""" [case testSignaturesIrrepresentableDefaults] import enum class Color(enum.Enum): RED = 1 misc = object() # Default arguments that cannot be represented in a __text_signature__ def bad_object(x=misc): pass def bad_list_nonliteral(x=[misc]): pass def bad_dict_nonliteral(x={'a': misc}): pass def bad_set_nonliteral(x={misc}): pass def bad_set_empty(x=set()): pass # supported by ast.literal_eval, but not by inspect._signature_fromstr def bad_nan(x=float("nan")): pass def bad_enum(x=Color.RED): pass # TODO: Default arguments that could potentially be represented in a # __text_signature__, but which are not currently supported. # See 'inspect._signature_fromstr' for what default values are supported at runtime. def bad_complex(x=1+2j): pass def bad_list_empty(x=[]): pass def bad_list_literals(x=[1, 2, 3]): pass def bad_dict_empty(x={}): pass def bad_dict_literals(x={'a': 1}): pass def bad_set_literals(x={1, 2, 3}): pass def bad_tuple_literals(x=([1, 2, 3], {'a': 1}, {1, 2, 3})): pass def bad_ellipsis(x=...): pass def bad_literal_fold(x=1+2): pass [file driver.py] import inspect from testutil import assertRaises import native all_bad = [fn for name, fn in vars(native).items() if name.startswith("bad_")] assert all_bad for bad in all_bad: assert bad.__text_signature__ is None, f"{bad.__name__} has unexpected __text_signature__" with assertRaises(ValueError, "no signature found for builtin"): inspect.signature(bad) [case testSignaturesMethods] class Foo: def f1(self, x): pass @classmethod def f2(cls, x): pass @staticmethod def f3(x): pass def __eq__(self, x: object): pass [file driver.py] import inspect from native import * assert str(inspect.signature(Foo.f1)) == "(self, /, x)" assert str(inspect.signature(Foo().f1)) == "(x)" assert str(inspect.signature(Foo.f2)) == "(x)" assert str(inspect.signature(Foo().f2)) == "(x)" assert str(inspect.signature(Foo.f3)) == "(x)" assert str(inspect.signature(Foo().f3)) == "(x)" assert str(inspect.signature(Foo.__eq__)) == "(self, value, /)" assert str(inspect.signature(Foo().__eq__)) == "(value, /)" [case testSignaturesConstructors] class Empty: pass class HasInit: def __init__(self, x) -> None: pass class InheritedInit(HasInit): pass class HasInitBad: def __init__(self, x=[]) -> None: pass [file driver.py] import inspect from testutil import assertRaises from native import * assert str(inspect.signature(Empty)) == "()" assert str(inspect.signature(Empty.__init__)) == "(self, /, *args, **kwargs)" assert str(inspect.signature(HasInit)) == "(x)" assert str(inspect.signature(HasInit.__init__)) == "(self, /, *args, **kwargs)" assert str(inspect.signature(InheritedInit)) == "(x)" assert str(inspect.signature(InheritedInit.__init__)) == "(self, /, *args, **kwargs)" assert getattr(HasInitBad, "__text_signature__") is None with assertRaises(ValueError, "no signature found for builtin"): inspect.signature(HasInitBad) # CPython detail note: type objects whose tp_doc contains only a text signature behave # differently from method objects whose ml_doc contains only a test signature: type # objects will have __doc__="" whereas method objects will have __doc__=None. This # difference stems from the former using _PyType_GetDocFromInternalDoc(...) and the # latter using PyUnicode_FromString(_PyType_DocWithoutSignature(...)). for cls in [Empty, HasInit, InheritedInit]: assert getattr(cls, "__doc__") == "" assert getattr(HasInitBad, "__doc__") is None [case testSignaturesConstructorsNonExt] from mypy_extensions import mypyc_attr @mypyc_attr(native_class=False) class NonExt: def __init__(self, x) -> None: pass [file driver.py] import inspect from testutil import assertRaises from native import * # TODO: support constructor signatures for non-extension classes with assertRaises(ValueError, "no signature found for builtin"): inspect.signature(NonExt) [case testSignaturesHistoricalPositionalOnly] import inspect def f1(__x): pass def f2(__x, y): pass def f3(*, __y): pass def f4(x, *, __y): pass def f5(__x, *, __y): pass class A: def func(self, __x): pass def test_historical_positional_only() -> None: assert str(inspect.signature(f1)) == "(__x, /)" assert str(inspect.signature(f2)) == "(__x, /, y)" assert str(inspect.signature(f3)) == "(*, __y)" assert str(inspect.signature(f4)) == "(x, *, __y)" assert str(inspect.signature(f5)) == "(__x, /, *, __y)" assert str(inspect.signature(A.func)) == "(self, __x, /)" assert str(inspect.signature(A().func)) == "(__x, /)" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-singledispatch.test0000644000175100017510000003632215112307767022020 0ustar00runnerrunner# Test cases related to the functools.singledispatch decorator # Most of these tests are marked as xfails because mypyc doesn't support singledispatch yet # (These tests will be re-enabled when mypyc supports singledispatch) [case testSpecializedImplementationUsed] from functools import singledispatch from typing import Any @singledispatch def fun(arg: Any) -> bool: return False @fun.register def fun_specialized(arg: str) -> bool: return True def test_specialize() -> None: assert fun('a') assert not fun(3) [case testSubclassesOfExpectedTypeUseSpecialized] from functools import singledispatch from typing import Any class A: pass class B(A): pass @singledispatch def fun(arg: Any) -> bool: return False @fun.register def fun_specialized(arg: A) -> bool: return True def test_specialize() -> None: assert fun(B()) assert fun(A()) [case testSuperclassImplementationNotUsedWhenSubclassHasImplementation] from functools import singledispatch from typing import Any class A: pass class B(A): pass @singledispatch def fun(arg: Any) -> bool: # shouldn't be using this assert False @fun.register def fun_specialized(arg: A) -> bool: return False @fun.register def fun_specialized2(arg: B) -> bool: return True def test_specialize() -> None: assert fun(B()) assert not fun(A()) [case testMultipleUnderscoreFunctionsIsntError] from functools import singledispatch from typing import Any @singledispatch def fun(arg: Any) -> str: return 'default' @fun.register def _(arg: str) -> str: return 'str' @fun.register def _(arg: int) -> str: return 'int' # extra function to make sure all 3 underscore functions aren't treated as one OverloadedFuncDef def a(b: Any) -> Any: pass @fun.register def _(arg: list) -> str: return 'list' def test_singledispatch() -> None: assert fun(0) == 'int' assert fun('a') == 'str' assert fun([1, 2]) == 'list' assert fun({'a': 'b'}) == 'default' [case testCanRegisterCompiledClasses] from functools import singledispatch from typing import Any class A: pass @singledispatch def fun(arg: Any) -> bool: return False @fun.register def fun_specialized(arg: A) -> bool: return True def test_singledispatch() -> None: assert fun(A()) assert not fun(1) [case testTypeUsedAsArgumentToRegister] from functools import singledispatch from typing import Any @singledispatch def fun(arg: Any) -> bool: return False @fun.register(int) def fun_specialized(arg: Any) -> bool: return True def test_singledispatch() -> None: assert fun(1) assert not fun('a') [case testUseRegisterAsAFunction] from functools import singledispatch from typing import Any @singledispatch def fun(arg: Any) -> bool: return False def fun_specialized_impl(arg: Any) -> bool: return True fun.register(int, fun_specialized_impl) def test_singledispatch() -> None: assert fun(0) assert not fun('a') [case testRegisterDoesntChangeFunction] from functools import singledispatch from typing import Any @singledispatch def fun(arg: Any) -> bool: return False @fun.register(int) def fun_specialized(arg: Any) -> bool: return True def test_singledispatch() -> None: assert fun_specialized('a') # TODO: turn this into a mypy error [case testNoneIsntATypeWhenUsedAsArgumentToRegister] from functools import singledispatch from typing import Any @singledispatch def fun(arg: Any) -> bool: return False def test_argument() -> None: try: @fun.register def fun_specialized(arg: None) -> bool: return True assert False, "expected to raise an exception" except TypeError: pass [case testRegisteringTheSameFunctionSeveralTimes] from functools import singledispatch from typing import Any @singledispatch def fun(arg: Any) -> bool: return False @fun.register(int) @fun.register(str) def fun_specialized(arg: Any) -> bool: return True def test_singledispatch() -> None: assert fun(0) assert fun('a') assert not fun([1, 2]) [case testTypeIsAnABC] # mypy: allow-untyped-defs from functools import singledispatch from collections.abc import Mapping @singledispatch def fun(arg) -> bool: # TODO: Adding an Any parameter annotation breaks the test case return False @fun.register def fun_specialized(arg: Mapping) -> bool: return True def test_singledispatch() -> None: assert not fun(1) assert fun({'a': 'b'}) [case testSingleDispatchMethod-xfail] from functools import singledispatchmethod class A: @singledispatchmethod def fun(self, arg) -> str: return 'default' @fun.register def fun_int(self, arg: int) -> str: return 'int' @fun.register def fun_str(self, arg: str) -> str: return 'str' def test_singledispatchmethod() -> None: x = A() assert x.fun(5) == 'int' assert x.fun('a') == 'str' assert x.fun([1, 2]) == 'default' [case testSingleDispatchMethodWithOtherDecorator-xfail] from functools import singledispatchmethod class A: @singledispatchmethod @staticmethod def fun(arg) -> str: return 'default' @fun.register @staticmethod def fun_int(arg: int) -> str: return 'int' @fun.register @staticmethod def fun_str(arg: str) -> str: return 'str' def test_singledispatchmethod() -> None: x = A() assert x.fun(5) == 'int' assert x.fun('a') == 'str' assert x.fun([1, 2]) == 'default' [case testSingledispatchTreeSumAndEqual] from functools import singledispatch from typing import cast class Tree: pass class Leaf(Tree): pass class Node(Tree): def __init__(self, value: int, left: Tree, right: Tree) -> None: self.value = value self.left = left self.right = right @singledispatch def calc_sum(x: Tree) -> int: raise TypeError('invalid type for x') @calc_sum.register def _(x: Leaf) -> int: return 0 @calc_sum.register def _(x: Node) -> int: return x.value + calc_sum(x.left) + calc_sum(x.right) @singledispatch def equal(to_compare: Tree, known: Tree) -> bool: raise TypeError('invalid type for x') @equal.register def _(to_compare: Leaf, known: Tree) -> bool: return isinstance(known, Leaf) @equal.register def _(to_compare: Node, known: Tree) -> bool: if isinstance(known, Node): if to_compare.value != known.value: return False else: return equal(to_compare.left, known.left) and equal(to_compare.right, known.right) return False def build(n: int) -> Tree: if n == 0: return Leaf() return Node(n, build(n - 1), build(n - 1)) def test_sum_and_equal() -> None: tree = build(5) tree2 = build(5) cast(Node, cast(Node, cast(Node, cast(Node, tree2).right).right).right).value = 10 assert calc_sum(tree) == 57 assert calc_sum(tree2) == 65 assert equal(tree, tree) assert not equal(tree, tree2) tree3 = build(4) assert not equal(tree, tree3) [case testSimulateMypySingledispatch] from functools import singledispatch from mypy_extensions import trait from typing import Iterator, Union, TypeVar, Any, List, Type # based on use of singledispatch in stubtest.py class Error: def __init__(self, msg: str) -> None: self.msg = msg @trait class Node: pass class MypyFile(Node): pass class TypeInfo(Node): pass @trait class SymbolNode(Node): pass @trait class Expression(Node): pass class TypeVarLikeExpr(SymbolNode, Expression): pass class TypeVarExpr(TypeVarLikeExpr): pass class TypeAlias(SymbolNode): pass class Missing: pass MISSING = Missing() T = TypeVar("T") MaybeMissing = Union[T, Missing] @singledispatch def verify(stub: Node, a: MaybeMissing[Any], b: List[str]) -> Iterator[Error]: yield Error('unknown node type') @verify.register(MypyFile) def verify_mypyfile(stub: MypyFile, a: MaybeMissing[int], b: List[str]) -> Iterator[Error]: if isinstance(a, Missing): yield Error("shouldn't be missing") return if not isinstance(a, int): # this check should be unnecessary because of the type signature and the previous check, # but stubtest.py has this check yield Error("should be an int") return yield from verify(TypeInfo(), str, ['abc', 'def']) @verify.register(TypeInfo) def verify_typeinfo(stub: TypeInfo, a: MaybeMissing[Type[Any]], b: List[str]) -> Iterator[Error]: yield Error('in TypeInfo') yield Error('hello') @verify.register(TypeVarExpr) def verify_typevarexpr(stub: TypeVarExpr, a: MaybeMissing[Any], b: List[str]) -> Iterator[Error]: if False: yield None def verify_list(stub: Any, a: Any, b: Any) -> List[str]: """Helper function that converts iterator of errors to list of messages""" return list(err.msg for err in verify(stub, a, b)) def test_verify() -> None: assert verify_list(TypeAlias(), 'a', ['a', 'b']) == ['unknown node type'] assert verify_list(MypyFile(), MISSING, ['a', 'b']) == ["shouldn't be missing"] assert verify_list(MypyFile(), 5, ['a', 'b']) == ['in TypeInfo', 'hello'] assert verify_list(TypeInfo(), str, ['a', 'b']) == ['in TypeInfo', 'hello'] assert verify_list(TypeVarExpr(), 'a', ['x', 'y']) == [] [case testArgsInRegisteredImplNamedDifferentlyFromMainFunction] from functools import singledispatch from typing import Any @singledispatch def f(a: Any) -> bool: return False @f.register def g(b: int) -> bool: return True def test_singledispatch() -> None: assert f(5) assert not f('a') [case testKeywordArguments] from functools import singledispatch from typing import Any @singledispatch def f(arg: Any, *, kwarg: int = 0) -> int: return kwarg + 10 @f.register def g(arg: int, *, kwarg: int = 5) -> int: return kwarg - 10 def test_keywords() -> None: assert f('a') == 10 assert f('a', kwarg=3) == 13 assert f('a', kwarg=7) == 17 assert f(1) == -5 assert f(1, kwarg=4) == -6 assert f(1, kwarg=6) == -4 [case testGeneratorAndMultipleTypesOfIterable] from functools import singledispatch from typing import * @singledispatch def f(arg: Any) -> Iterable[int]: yield 1 @f.register def g(arg: str) -> Iterable[int]: return [0] def test_iterables() -> None: assert f(1) != [1] assert list(f(1)) == [1] assert f('a') == [0] [case testRegisterUsedAtSameTimeAsOtherDecorators] from functools import singledispatch from typing import TypeVar, Any class A: pass class B: pass T = TypeVar('T') def decorator(f: T) -> T: return f @singledispatch def f(arg: Any) -> int: return 0 @f.register @decorator def h(arg: str) -> int: return 2 def test_singledispatch() -> None: assert f(1) == 0 assert f('a') == 2 [case testDecoratorModifiesFunction] from functools import singledispatch from typing import Callable, Any class A: pass def decorator(f: Callable[[Any], int]) -> Callable[[Any], int]: def wrapper(x: Any) -> int: return f(x) * 7 return wrapper @singledispatch def f(arg: Any) -> int: return 10 @f.register @decorator def h(arg: str) -> int: return 5 def test_singledispatch() -> None: assert f('a') == 35 assert f(A()) == 10 [case testMoreSpecificTypeBeforeLessSpecificType] from functools import singledispatch from typing import Any class A: pass class B(A): pass @singledispatch def f(arg: Any) -> str: return 'default' @f.register def g(arg: B) -> str: return 'b' @f.register def h(arg: A) -> str: return 'a' def test_singledispatch() -> None: assert f(B()) == 'b' assert f(A()) == 'a' assert f(5) == 'default' [case testMultipleRelatedClassesBeingRegistered] from functools import singledispatch from typing import Any class A: pass class B(A): pass class C(B): pass @singledispatch def f(arg: Any) -> str: return 'default' @f.register def _(arg: A) -> str: return 'a' @f.register def _(arg: C) -> str: return 'c' @f.register def _(arg: B) -> str: return 'b' def test_singledispatch() -> None: assert f(A()) == 'a' assert f(B()) == 'b' assert f(C()) == 'c' assert f(1) == 'default' [case testRegisteredImplementationsInDifferentFiles] from other_a import f, A, B, C @f.register def a(arg: A) -> int: return 2 @f.register def _(arg: C) -> int: return 3 def test_singledispatch() -> None: assert f(B()) == 1 assert f(A()) == 2 assert f(C()) == 3 assert f(1) == 0 [file other_a.py] from functools import singledispatch class A: pass class B(A): pass class C(B): pass @singledispatch def f(arg: object) -> int: return 0 @f.register def g(arg: B) -> int: return 1 [case testOrderCanOnlyBeDeterminedFromMRONotIsinstanceChecks] from mypy_extensions import trait from functools import singledispatch from typing import Any @trait class A: pass @trait class B: pass class AB(A, B): pass class BA(B, A): pass @singledispatch def f(arg: Any) -> str: return "default" @f.register def fa(arg: A) -> str: return "a" @f.register def fb(arg: B) -> str: return "b" def test_singledispatch() -> None: assert f(AB()) == "a" assert f(BA()) == "b" [case testCallingFunctionBeforeAllImplementationsRegistered] from functools import singledispatch from typing import Any class A: pass class B(A): pass @singledispatch def f(arg: Any) -> str: return 'default' assert f(A()) == 'default' assert f(B()) == 'default' assert f(1) == 'default' @f.register def g(arg: A) -> str: return 'a' assert f(A()) == 'a' assert f(B()) == 'a' assert f(1) == 'default' @f.register def _(arg: B) -> str: return 'b' # TODO: Move whole testcase to a function when mypyc#1118 is fixed. def test_final() -> None: assert f(A()) == 'a' assert f(B()) == 'b' assert f(1) == 'default' [case testDynamicallyRegisteringFunctionFromInterpretedCode] from functools import singledispatch from typing import Any class A: pass class B(A): pass class C(B): pass class D(C): pass @singledispatch def f(arg: Any) -> str: return "default" @f.register def _(arg: B) -> str: return 'b' [file register_impl.py] from native import f, A, B, C @f.register(A) def a(arg) -> str: return 'a' @f.register def c(arg: C) -> str: return 'c' [file driver.py] from native import f, A, B, C from register_impl import a, c # We need a custom driver here because register_impl has to be run before we test this (so that the # additional implementations are registered) assert f(C()) == 'c' assert f(A()) == 'a' assert f(B()) == 'b' assert a(C()) == 'a' assert c(A()) == 'c' [case testMalformedDynamicRegisterCall] from functools import singledispatch from typing import Any @singledispatch def f(arg: Any) -> None: pass [file register.py] from native import f from testutil import assertRaises with assertRaises(TypeError, 'Invalid first argument to `register()`'): @f.register def _(): pass [file driver.py] import register [case testCacheClearedWhenNewFunctionRegistered] from functools import singledispatch @singledispatch def f(arg: object) -> str: return 'default' [file register.py] from native import f class A: pass class B: pass class C: pass # annotated function assert f(A()) == 'default' @f.register def _(arg: A) -> str: return 'a' assert f(A()) == 'a' # type passed as argument assert f(B()) == 'default' @f.register(B) def _(arg: B) -> str: return 'b' assert f(B()) == 'b' # 2 argument form assert f(C()) == 'default' def c(arg) -> str: return 'c' f.register(C, c) assert f(C()) == 'c' [file driver.py] import register ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-strings.test0000644000175100017510000012200715112307767020504 0ustar00runnerrunner# Test cases for strings (compile and run) [case testStrBasics] from typing import Tuple class A: def __str__(self) -> str: return "A-str" def __repr__(self) -> str: return "A-repr" def f() -> str: return 'some string' def g() -> str: return 'some\a \v \t \x7f " \n \0string 🐍' def tostr(x: int) -> str: return str(x) def booltostr(x: bool) -> str: return str(x) def clstostr(x: A) -> str: return str(x) def torepr(x: int) -> str: return repr(x) def booltorepr(x: bool) -> str: return repr(x) def clstorepr(x: A) -> str: return repr(x) def concat(x: str, y: str) -> str: return x + y def eq(x: str) -> int: if x == 'foo': return 0 elif x != 'bar': return 1 return 2 def match(x: str, y: str) -> Tuple[bool, bool]: return (x.startswith(y), x.endswith(y)) def match_tuple(x: str, y: Tuple[str, ...]) -> Tuple[bool, bool]: return (x.startswith(y), x.endswith(y)) def match_tuple_literal_args(x: str, y: str, z: str) -> Tuple[bool, bool]: return (x.startswith((y, z)), x.endswith((y, z))) def remove_prefix_suffix(x: str, y: str) -> Tuple[str, str]: return (x.removeprefix(y), x.removesuffix(y)) [file driver.py] from native import ( f, g, A, tostr, booltostr, clstostr, concat, eq, match, match_tuple, match_tuple_literal_args, remove_prefix_suffix, torepr, booltorepr, clstorepr ) import sys from testutil import assertRaises assert f() == 'some string' assert f() is sys.intern('some string') assert g() == 'some\a \v \t \x7f " \n \0string 🐍' assert tostr(57) == '57' assert concat('foo', 'bar') == 'foobar' assert booltostr(True) == 'True' assert booltostr(False) == 'False' assert clstostr(A()) == "A-str" assert eq('foo') == 0 assert eq('zar') == 1 assert eq('bar') == 2 assert torepr(57) == '57' assert booltorepr(True) == 'True' assert booltorepr(False) == 'False' assert clstorepr(A()) == "A-repr" assert int(tostr(0)) == 0 assert int(tostr(20)) == 20 assert int(torepr(0)) == 0 assert int(torepr(20)) == 20 assert match('', '') == (True, True) assert match('abc', '') == (True, True) assert match('abc', 'a') == (True, False) assert match('abc', 'c') == (False, True) assert match('', 'abc') == (False, False) assert match_tuple('abc', ('d', 'e')) == (False, False) assert match_tuple('abc', ('a', 'c')) == (True, True) assert match_tuple('abc', ('a',)) == (True, False) assert match_tuple('abc', ('c',)) == (False, True) assert match_tuple('abc', ('x', 'y', 'z')) == (False, False) assert match_tuple('abc', ('x', 'y', 'z', 'a', 'c')) == (True, True) with assertRaises(TypeError, "tuple for startswith must only contain str"): assert match_tuple('abc', (None,)) with assertRaises(TypeError, "tuple for endswith must only contain str"): assert match_tuple('abc', ('a', None)) assert match_tuple_literal_args('abc', 'z', 'a') == (True, False) assert match_tuple_literal_args('abc', 'z', 'c') == (False, True) assert remove_prefix_suffix('', '') == ('', '') assert remove_prefix_suffix('abc', 'a') == ('bc', 'abc') assert remove_prefix_suffix('abc', 'c') == ('abc', 'ab') [case testStringEquality] def eq(a: str, b: str) -> bool: return a == b def ne(a: str, b: str) -> bool: return a != b def test_basic() -> None: xy = "xy" xy2 = str().join(["x", "y"]) xx = "xx" yy = "yy" xxx = "xxx" assert eq("", str()) assert not ne("", str()) assert eq("x", "x" + str()) assert ne("x", "y") assert eq(xy, xy) assert eq(xy, xy2) assert not eq(xy, yy) assert ne(xy, xx) assert not ne(xy, xy) assert not ne(xy, xy2) assert ne(xx, xxx) assert ne(xxx, xx) assert ne("x", "") assert ne("", "x") assert ne("XX", xx) assert ne(yy, xy) def test_unicode() -> None: assert eq(chr(200), chr(200) + str()) assert ne(chr(200), chr(201)) assert eq(chr(1234), chr(1234) + str()) assert ne(chr(1234), chr(1235)) assert eq("\U0001f4a9", "\U0001f4a9" + str()) assert eq("\U0001f4a9", "\U0001F4A9" + str()) assert ne("\U0001f4a9", "\U0002f4a9" + str()) assert ne("\U0001f4a9", "\U0001f5a9" + str()) assert ne("\U0001f4a9", "\U0001f4a8" + str()) assert eq("foobar\u1234", "foobar\u1234" + str()) assert eq("\u1234foobar", "\u1234foobar" + str()) assert ne("foobar\uf234", "foobar\uf235") assert ne("foobar\uf234", "foobar\uf334") assert ne("foobar\u1234", "Foobar\u1234" + str()) assert eq("foo\U0001f4a9", "foo\U0001f4a9" + str()) assert eq("\U0001f4a9foo", "\U0001f4a9foo" + str()) assert ne("foo\U0001f4a9", "foo\U0001f4a8" + str()) assert ne("\U0001f4a9foo", "\U0001f4a8foo" + str()) [case testStringOps] from typing import List, Optional, Tuple from testutil import assertRaises def do_split(s: str, sep: Optional[str] = None, max_split: Optional[int] = None) -> List[str]: if sep is not None: if max_split is not None: return s.split(sep, max_split) else: return s.split(sep) return s.split() def do_rsplit(s: str, sep: Optional[str] = None, max_split: Optional[int] = None) -> List[str]: if sep is not None: if max_split is not None: return s.rsplit(sep, max_split) else: return s.rsplit(sep) return s.rsplit() ss = "abc abcd abcde abcdef" def test_split() -> None: assert do_split(ss) == ["abc", "abcd", "abcde", "abcdef"] assert do_split(ss, " ") == ["abc", "abcd", "abcde", "abcdef"] assert do_split(ss, "-") == ["abc abcd abcde abcdef"] assert do_split(ss, " ", -1) == ["abc", "abcd", "abcde", "abcdef"] assert do_split(ss, " ", 0) == ["abc abcd abcde abcdef"] assert do_split(ss, " ", 1) == ["abc", "abcd abcde abcdef"] assert do_split(ss, " ", 2) == ["abc", "abcd", "abcde abcdef"] def test_rsplit() -> None: assert do_rsplit(ss) == ["abc", "abcd", "abcde", "abcdef"] assert do_rsplit(ss, " ") == ["abc", "abcd", "abcde", "abcdef"] assert do_rsplit(ss, "-") == ["abc abcd abcde abcdef"] assert do_rsplit(ss, " ", -1) == ["abc", "abcd", "abcde", "abcdef"] assert do_rsplit(ss, " ", 0) == ["abc abcd abcde abcdef"] assert do_rsplit(ss, " ", 1) == ["abc abcd abcde", "abcdef"] # different to do_split assert do_rsplit(ss, " ", 2) == ["abc abcd", "abcde", "abcdef"] # different to do_split def splitlines(s: str, keepends: Optional[bool] = None) -> List[str]: if keepends is not None: return s.splitlines(keepends) return s.splitlines() s_text = "This\nis\n\nsome\nlong\ntext.\n" def test_splitlines() -> None: assert splitlines(s_text) == ["This", "is", "", "some", "long", "text."] assert splitlines(s_text, False) == ["This", "is", "", "some", "long", "text."] assert splitlines(s_text, True) == ["This\n", "is\n", "\n", "some\n", "long\n", "text.\n"] s_partition = "Some long text" def partition(s: str, sep: str) -> Tuple[str, str, str]: return s.partition(sep) def rpartition(s: str, sep: str) -> Tuple[str, str, str]: return s.rpartition(sep) def test_partition() -> None: assert partition(s_partition, " ") == ("Some", " ", "long text") assert partition(s_partition, "Hello") == ("Some long text", "", "") assert rpartition(s_partition, " ") == ("Some long", " ", "text") assert rpartition(s_partition, "Hello") == ("", "", "Some long text") with assertRaises(ValueError, "empty separator"): partition(s_partition, "") with assertRaises(ValueError, "empty separator"): rpartition(s_partition, "") def contains(s: str, o: str) -> bool: return o in s def getitem(s: str, index: int) -> str: return s[index] def find(s: str, substr: str, start: Optional[int] = None, end: Optional[int] = None) -> int: if start is not None: if end is not None: return s.find(substr, start, end) return s.find(substr, start) return s.find(substr) def rfind(s: str, substr: str, start: Optional[int] = None, end: Optional[int] = None) -> int: if start is not None: if end is not None: return s.rfind(substr, start, end) return s.rfind(substr, start) return s.rfind(substr) s = "abc" def test_contains() -> None: assert contains(s, "a") is True assert contains(s, "abc") is True assert contains(s, "Hello") is False assert contains(s, "bc") is True assert contains(s, "abcd") is False assert contains(s, "bb") is False assert contains(s, "") is True assert contains(s, " ") is False def test_getitem() -> None: assert getitem(s, 0) == "a" assert getitem(s, 1) == "b" assert getitem(s, 2) == "c" assert getitem(s, -3) == "a" assert getitem(s, -2) == "b" assert getitem(s, -1) == "c" with assertRaises(IndexError, "string index out of range"): getitem(s, 4) with assertRaises(IndexError, "string index out of range"): getitem(s, -4) def test_find() -> None: s = "abcab" assert find(s, "Hello") == -1 assert find(s, "abc") == 0 assert find(s, "b") == 1 assert find(s, "b", 1) == 1 assert find(s, "b", 1, 2) == 1 assert find(s, "b", 3) == 4 assert find(s, "b", 3, 5) == 4 assert find(s, "b", 3, 4) == -1 assert rfind(s, "Hello") == -1 assert rfind(s, "abc") == 0 assert rfind(s, "b") == 4 assert rfind(s, "b", 1) == 4 assert rfind(s, "b", 1, 2) == 1 assert rfind(s, "b", 3) == 4 assert rfind(s, "b", 3, 5) == 4 assert rfind(s, "b", 3, 4) == -1 def str_to_int(s: str, base: Optional[int] = None) -> int: if base: return int(s, base) else: return int(s) def test_str_to_int() -> None: assert str_to_int("1") == 1 assert str_to_int("10") == 10 assert str_to_int("a", 16) == 10 assert str_to_int("1a", 16) == 26 with assertRaises(ValueError, "invalid literal for int() with base 10: 'xyz'"): str_to_int("xyz") def test_slicing() -> None: # Use dummy adds to avoid constant folding zero = int() two = zero + 2 s = "foobar" + str() assert s[two:] == "obar" assert s[:two] == "fo" assert s[two:-two] == "ob" assert s[two:two] == "" assert s[two:two + 1] == "o" assert s[-two:] == "ar" assert s[:-two] == "foob" assert s[:] == "foobar" assert s[two:333] == "obar" assert s[333:two] == "" assert s[two:-333] == "" assert s[-333:two] == "fo" big_int: int = 1000 * 1000 * 1000 * 1000 * 1000 * 1000 * 1000 assert s[1:big_int] == "oobar" assert s[big_int:] == "" assert s[-big_int:-1] == "fooba" def test_str_replace() -> None: a = "foofoofoo" assert a.replace("foo", "bar") == "barbarbar" assert a.replace("foo", "bar", -1) == "barbarbar" assert a.replace("foo", "bar", 1) == "barfoofoo" assert a.replace("foo", "bar", 4) == "barbarbar" assert a.replace("aaa", "bar") == "foofoofoo" assert a.replace("ofo", "xyzw") == "foxyzwxyzwo" def is_true(x: str) -> bool: if x: return True else: return False def is_true2(x: str) -> bool: return bool(x) def is_false(x: str) -> bool: if not x: return True else: return False def test_str_to_bool() -> None: assert is_false('') assert not is_true('') assert not is_true2('') for x in 'a', 'foo', 'bar', 'some string': assert is_true(x) assert is_true2(x) assert not is_false(x) def test_str_min_max() -> None: x: str = 'aaa' y: str = 'bbb' z: str = 'aa' assert min(x, y) == 'aaa' assert min(x, z) == 'aa' assert max(x, y) == 'bbb' assert max(x, z) == 'aaa' [case testStringFormattingCStyle] from typing import Tuple var = 'mypyc' num = 20 def test_basics() -> None: assert 'Hello %s, this is a test' % var == "Hello mypyc, this is a test" assert 'Hello %s %d, this is a test' % (var, num) == "Hello mypyc 20, this is a test" t: Tuple[str, int] = (var, num) assert 'Hello %s %d, this is a test' % t == "Hello mypyc 20, this is a test" large_num = 2**65 assert 'number: %d' % large_num == 'number: 36893488147419103232' neg_num = -3 assert 'negative integer: %d' % neg_num == 'negative integer: -3' assert 'negative integer: %d' % (-large_num) == 'negative integer: -36893488147419103232' bool_var1 = True bool_var2 = False assert 'bool: %s, %s' % (bool_var1, bool_var2) == 'bool: True, False' float_num = 123.4 assert '%f' % float_num == '123.400000' assert '%.2f' % float_num == '123.40' assert '%.5f' % float_num == '123.40000' assert '%10.2f' % float_num == ' 123.40' assert '%10.5f' % float_num == ' 123.40000' assert '%010.5f' % float_num == '0123.40000' assert '%015.5f' % float_num == '000000123.40000' assert '%e' % float_num == '1.234000e+02' large_float = 1.23e30 large_float2 = 1234123412341234123400000000000000000 small_float = 1.23e-20 assert '%f, %f, %f' % (small_float, large_float, large_float2) == \ '0.000000, 1229999999999999959718843908096.000000, 1234123412341234169005079998930878464.000000' assert '%s, %s, %s' % (small_float, large_float, large_float2) == \ '1.23e-20, 1.23e+30, 1234123412341234123400000000000000000' assert '%d, %d, %d' % (small_float, large_float, large_float2) == \ '0, 1229999999999999959718843908096, 1234123412341234123400000000000000000' nan_num = float('nan') inf_num = float('inf') assert '%s, %s' % (nan_num, inf_num) == 'nan, inf' assert '%f, %f' % (nan_num, inf_num) == 'nan, inf' [typing fixtures/typing-full.pyi] [case testFStrings] import decimal from datetime import datetime from typing import Final var = 'mypyc' num = 20 final_known_at_compile_time: Final = 'hello' def final_value_setter() -> str: return 'goodbye' final_unknown_at_compile_time: Final = final_value_setter() def test_fstring_basics() -> None: assert f'Hello {var}, this is a test' == "Hello mypyc, this is a test" large_num = 2**65 assert f'number: {large_num}' == 'number: 36893488147419103232' neg_num = -3 assert f'negative integer: {neg_num}' == 'negative integer: -3' assert f'negative integer: {-large_num}' == 'negative integer: -36893488147419103232' bool_var1 = True bool_var2 = False assert f'bool: {bool_var1}, {bool_var2}' == 'bool: True, False' x = bytes([1, 2, 3, 4]) # assert f'bytes: {x}' == "bytes: b'\\x01\\x02\\x03\\x04'" # error: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes float_num = 123.4 assert f'{float_num}' == '123.4' assert f'{float_num:.2f}' == '123.40' assert f'{float_num:.5f}' == '123.40000' assert f'{float_num:>10.2f}' == ' 123.40' assert f'{float_num:>10.5f}' == ' 123.40000' assert f'{float_num:>010.5f}' == '0123.40000' assert f'{float_num:>015.5f}' == '000000123.40000' assert f'{float_num:e}' == '1.234000e+02' large_float = 1.23e30 large_float2 = 1234123412341234123400000000000000000 small_float = 1.23e-20 assert f'{small_float}, {large_float}, {large_float2}' == '1.23e-20, 1.23e+30, 1234123412341234123400000000000000000' nan_num = float('nan') inf_num = float('inf') assert f'{nan_num}, {inf_num}' == 'nan, inf' assert f'{final_known_at_compile_time} {final_unknown_at_compile_time}' == 'hello goodbye' # F-strings would be translated into ''.join[string literals, format method call, ...] in mypy AST. # Currently we are using a str.join specializer for f-string speed up. We might not cover all cases # and the rest ones should fall back to a normal str.join method call. # TODO: Once we have a new pipeline for f-strings, this test case can be moved to testStringOps. def test_str_join() -> None: var = 'mypyc' num = 10 assert ''.join(['a', 'b', '{}'.format(var), 'c']) == 'abmypycc' assert ''.join(['a', 'b', '{:{}}'.format(var, ''), 'c']) == 'abmypycc' assert ''.join(['a', 'b', '{:{}}'.format(var, '>10'), 'c']) == 'ab mypycc' assert ''.join(['a', 'b', '{:{}}'.format(var, '>{}'.format(num)), 'c']) == 'ab mypycc' assert var.join(['a', '{:{}}'.format(var, ''), 'b']) == 'amypycmypycmypycb' assert ','.join(['a', '{:{}}'.format(var, ''), 'b']) == 'a,mypyc,b' assert ''.join(['x', var]) == 'xmypyc' class A: def __init__(self, name, age): self.name = name self.age = age def __repr__(self): return f'{self.name} is {self.age} years old.' def test_fstring_datatype() -> None: u = A('John Doe', 14) assert f'{u}' == 'John Doe is 14 years old.' d = {'name': 'John Doe', 'age': 14} assert f'{d}' == "{'name': 'John Doe', 'age': 14}" def test_fstring_escape() -> None: assert f"{'inside'}" == 'inside' assert f'{"inside"}' == 'inside' assert f"""inside""" == 'inside' assert f'''inside''' == 'inside' assert f"\"{'inside'}\"" == '"inside"' assert f'\'{"inside"}\'' == "'inside'" assert f'{{10}}' == '{10}' assert f'{{10 + 10}}' == '{10 + 10}' assert f'{{{10 + 10}}}' == '{20}' assert f'{{{{10 + 10}}}}' == '{{10 + 10}}' def test_fstring_conversion() -> None: assert f'Hello {var!r}' == "Hello 'mypyc'" # repr() is equivalent to !r assert f'Hello {repr(var)}' == "Hello 'mypyc'" assert f'Hello {var!a}' == "Hello 'mypyc'" # ascii() is equivalent to !a assert f'Hello {ascii(var)}' == "Hello 'mypyc'" tmp_str = """this is a new line.""" assert f'Test: {tmp_str!a}' == "Test: 'this\\n is a new line.'" s = 'test: āĀēĒčČ..šŠūŪžŽ' assert f'{s}' == 'test: āĀēĒčČ..šŠūŪžŽ' assert f'{s!a}' == "'test: \\u0101\\u0100\\u0113\\u0112\\u010d\\u010c..\\u0161\\u0160\\u016b\\u016a\\u017e\\u017d'" assert f'Hello {var!s}' == 'Hello mypyc' assert f'Hello {num!s}' == 'Hello 20' def test_fstring_align() -> None: assert f'Hello {var:>20}' == "Hello mypyc" assert f'Hello {var!r:>20}' == "Hello 'mypyc'" assert f'Hello {var:>{num}}' == "Hello mypyc" assert f'Hello {var!r:>{num}}' == "Hello 'mypyc'" def test_fstring_multi() -> None: assert f'Hello {var}, hello again {var}' == "Hello mypyc, hello again mypyc" a = 'py' s = f'my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}my{a}' assert s == 'mypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypymypy' def test_fstring_python_doc() -> None: name = 'Fred' assert f"He said his name is {name!r}." == "He said his name is 'Fred'." assert f"He said his name is {repr(name)}." == "He said his name is 'Fred'." width = 10 precision = 4 value = decimal.Decimal('12.34567') assert f'result: {value:{width}.{precision}}' == 'result: 12.35' # nested field today = datetime(year=2017, month=1, day=27) assert f'{today:%B %d, %Y}' == 'January 27, 2017' # using date format specifier number = 1024 assert f'{number:#0x}' == '0x400' # using integer format specifier [case testStringFormatMethod] from typing import Tuple def test_format_method_basics() -> None: x = str() assert 'x{}'.format(x) == 'x' assert 'ā{}'.format(x) == 'ā' assert '😀{}'.format(x) == '😀' assert ''.format() == '' assert 'abc'.format() == 'abc' assert '{}{}'.format(1, 2) == '12' name = 'Eric' age = 14 assert "My name is {name}, I'm {age}.".format(name=name, age=age) == "My name is Eric, I'm 14." assert "My name is {A}, I'm {B}.".format(A=name, B=age) == "My name is Eric, I'm 14." assert "My name is {}, I'm {B}.".format(name, B=age) == "My name is Eric, I'm 14." bool_var1 = True bool_var2 = False assert 'bool: {}, {}'.format(bool_var1, bool_var2) == 'bool: True, False' def test_format_method_empty_braces() -> None: name = 'Eric' age = 14 assert 'Hello, {}!'.format(name) == 'Hello, Eric!' assert '{}'.format(name) == 'Eric' assert '{}! Hi!'.format(name) == 'Eric! Hi!' assert '{}, Hi, {}'.format(name, name) == 'Eric, Hi, Eric' assert 'Hi! {}'.format(name) == 'Hi! Eric' assert "Hi, I'm {}. I'm {}.".format(name, age) == "Hi, I'm Eric. I'm 14." assert '{{}}'.format() == '{}' assert '{{{{}}}}'.format() == '{{}}' assert '{{}}{}'.format(name) == '{}Eric' assert 'Hi! {{{}}}'.format(name) == 'Hi! {Eric}' assert 'Hi! {{ {}'.format(name) == 'Hi! { Eric' assert 'Hi! {{ {} }}}}'.format(name) == 'Hi! { Eric }}' def test_format_method_numbers() -> None: s = 'int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}'.format(-233) assert s == 'int: -233; hex: -e9; oct: -351; bin: -11101001' num = 2**65 s = 'int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}'.format(num) assert s == 'int: 36893488147419103232; hex: 20000000000000000; oct: 4000000000000000000000; bin: 100000000000000000000000000000000000000000000000000000000000000000' s = 'int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}'.format(-num) assert s == 'int: -36893488147419103232; hex: -20000000000000000; oct: -4000000000000000000000; bin: -100000000000000000000000000000000000000000000000000000000000000000' large_num = 2**65 assert 'number: {}'.format(large_num) == 'number: 36893488147419103232' neg_num = -3 assert 'negative integer: {}'.format(neg_num) == 'negative integer: -3' assert 'negative integer: {}'.format(-large_num) == 'negative integer: -36893488147419103232' large_float = 1.23e30 large_float2 = 1234123412341234123400000000000000000 small_float = 1.23e-20 assert '{}, {}, {}'.format(small_float, large_float, large_float2) == '1.23e-20, 1.23e+30, 1234123412341234123400000000000000000' nan_num = float('nan') inf_num = float('inf') assert '{}, {}'.format(nan_num, inf_num) == 'nan, inf' def format_args(*args: int) -> str: return 'x{}y{}'.format(*args) def format_kwargs(**kwargs: int) -> str: return 'c{x}d{y}'.format(**kwargs) def format_args_self(*args: int) -> str: return '{}'.format(args) def format_kwargs_self(**kwargs: int) -> str: return '{}'.format(kwargs) def test_format_method_args() -> None: assert format_args(10, 2) == 'x10y2' assert format_args_self(10, 2) == '(10, 2)' assert format_kwargs(x=10, y=2) == 'c10d2' assert format_kwargs(x=10, y=2, z=1) == 'c10d2' assert format_kwargs_self(x=10, y=2, z=1) == "{'x': 10, 'y': 2, 'z': 1}" def test_format_method_different_kind() -> None: s1 = "Literal['😀']" assert 'Revealed type is {}'.format(s1) == "Revealed type is Literal['😀']" s2 = "Revealed type is" assert "{} Literal['😀']".format(s2) == "Revealed type is Literal['😀']" s3 = "测试：" assert "{}{} {}".format(s3, s2, s1) == "测试：Revealed type is Literal['😀']" assert "Test: {}{}".format(s3, s1) == "Test: 测试：Literal['😀']" assert "Test: {}{}".format(s3, s2) == "Test: 测试：Revealed type is" def test_format_method_nested() -> None: var = 'mypyc' num = 10 assert '{:{}}'.format(var, '') == 'mypyc' assert '{:{}}'.format(var, '>10') == ' mypyc' assert '{:{}}'.format(var, '>{}'.format(num)) == ' mypyc' class Point: def __init__(self, x, y): self.x, self.y = x, y def __str__(self): return 'Point({self.x}, {self.y})'.format(self=self) # Format examples from Python doc # https://docs.python.org/3/library/string.html#formatexamples def test_format_method_python_doc() -> None: # Accessing arguments by position: assert '{0}, {1}, {2}'.format('a', 'b', 'c') == 'a, b, c' assert '{}, {}, {}'.format('a', 'b', 'c') == 'a, b, c' assert '{2}, {1}, {0}'.format('a', 'b', 'c') == 'c, b, a' assert '{2}, {1}, {0}'.format(*'abc') == 'c, b, a' # unpacking argument sequence # assert '{0}{1}{0}'.format('abra', 'cad') = 'abracadabra' # arguments' indices can be repeated # Accessing arguments by name: s = 'Coordinates: {latitude}, {longitude}'.format(latitude='37.24N', longitude='-115.81W') assert s == 'Coordinates: 37.24N, -115.81W' coord = {'latitude': '37.24N', 'longitude': '-115.81W'} assert 'Coordinates: {latitude}, {longitude}'.format(**coord) == 'Coordinates: 37.24N, -115.81W' # Accessing arguments’ attributes: assert str(Point(4, 2)) == 'Point(4, 2)' # Accessing arguments’ items: coord2 = (3, 5) assert 'X: {0[0]}; Y: {0[1]}'.format(coord2) == 'X: 3; Y: 5' # Replacing %s and %r: s = "repr() shows quotes: {!r}; str() doesn't: {!s}".format('test1', 'test2') assert s == "repr() shows quotes: 'test1'; str() doesn't: test2" # Aligning the text and specifying a width: assert '{:<30}'.format('left aligned') == 'left aligned ' assert '{:>30}'.format('right aligned') == ' right aligned' assert '{:^30}'.format('centered') == ' centered ' assert '{:*^30}'.format('centered') == '***********centered***********' # use '*' as a fill char # Replacing %+f, %-f, and % f and specifying a sign: assert '{:+f}; {:+f}'.format(3.14, -3.14) == '+3.140000; -3.140000' # show it always assert '{: f}; {: f}'.format(3.14, -3.14) == ' 3.140000; -3.140000' # show a space for positive numbers assert '{:-f}; {:-f}'.format(3.14, -3.14) == '3.140000; -3.140000' # show only the minus -- same as '{:f}; {:f}' # Replacing %x and %o and converting the value to different bases: s = 'int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}'.format(42) # format also supports binary numbers assert s == 'int: 42; hex: 2a; oct: 52; bin: 101010' s = 'int: {0:d}; hex: {0:#x}; oct: {0:#o}; bin: {0:#b}'.format(42) # with 0x, 0o, or 0b as prefix: assert s == 'int: 42; hex: 0x2a; oct: 0o52; bin: 0b101010' # Using the comma as a thousands separator: assert '{:,}'.format(1234567890) == '1,234,567,890' # Expressing a percentage: points = 19.0 total = 22.0 assert 'Correct answers: {:.2%}'.format(points/total) == 'Correct answers: 86.36%' # Using type-specific formatting: import datetime d = datetime.datetime(2010, 7, 4, 12, 15, 58) assert '{:%Y-%m-%d %H:%M:%S}'.format(d) == '2010-07-04 12:15:58' # Nesting arguments and more complex examples: tmp_strs = [] for align, text in zip('<^>', ['left', 'center', 'right']): tmp_strs.append('{0:{fill}{align}16}'.format(text, fill=align, align=align)) assert tmp_strs == ['left<<<<<<<<<<<<', '^^^^^center^^^^^', '>>>>>>>>>>>right'] octets = [192, 168, 0, 1] assert '{:02X}{:02X}{:02X}{:02X}'.format(*octets) == 'C0A80001' width = 5 tmp_strs = [] for num in range(5,12): tmp_str = '' for base in 'dXob': tmp_str += ('{0:{width}{base}}'.format(num, base=base, width=width)) tmp_strs.append(tmp_str) assert tmp_strs == [' 5 5 5 101',\ ' 6 6 6 110',\ ' 7 7 7 111',\ ' 8 8 10 1000',\ ' 9 9 11 1001',\ ' 10 A 12 1010',\ ' 11 B 13 1011'] [case testChr] # Some test cases are from https://docs.python.org/3/howto/unicode.html def try_invalid(x: int) -> bool: try: chr(x + int()) return False except ValueError: return True def test_chr() -> None: assert chr(57344) == '\ue000' assert chr(0) == '\x00' assert chr(65) == 'A' assert chr(150) == '\x96' try: chr(-1) assert False except ValueError: pass try: chr(1114112) assert False except ValueError: pass assert chr(1114111) == '\U0010ffff' x = 0 assert chr(x + int()) == '\x00' x = 100 assert chr(x + int()) == 'd' x = 150 assert chr(x + int()) == '\x96' x = 257 assert chr(x + int()) == 'ā' x = 65537 assert chr(x + int()) == '𐀁' assert try_invalid(-1) assert try_invalid(1114112) [case testOrd] from testutil import assertRaises def test_ord() -> None: assert ord(' ') == 32 assert ord(' ' + str()) == 32 assert ord('\x00') == 0 assert ord('\x00' + str()) == 0 assert ord('\ue000') == 57344 assert ord('\ue000' + str()) == 57344 s = "a\xac\u1234\u20ac\U00010000" # ^^^^ two-digit hex escape # ^^^^^^ four-digit Unicode escape # ^^^^^^^^^^ eight-digit Unicode escape l1 = [ord(c) for c in s] assert l1 == [97, 172, 4660, 8364, 65536] u = 'abcdé' assert ord(u[-1]) == 233 assert ord(b'a') == 97 assert ord(b'a' + bytes()) == 97 u2 = '\U0010ffff' + str() assert ord(u2) == 1114111 assert ord('\U0010ffff') == 1114111 with assertRaises(TypeError, "ord() expected a character, but a string of length 2 found"): ord('aa') with assertRaises(TypeError): ord('') [case testDecode] from testutil import assertRaises def test_decode() -> None: assert "\N{GREEK CAPITAL LETTER DELTA}" == '\u0394' assert "\u0394" == "\u0394" assert "\U00000394" == '\u0394' assert b'\x80abc'.decode('utf-8', 'replace') == '\ufffdabc' assert b'\x80abc'.decode('utf-8', 'backslashreplace') == '\\x80abc' assert b''.decode() == '' assert b'a'.decode() == 'a' assert b'abc'.decode() == 'abc' assert b'abc'.decode('utf-8') == 'abc' assert b'abc'.decode('utf-8' + str()) == 'abc' assert b'abc\x00\xce'.decode('latin-1') == 'abc\x00\xce' assert b'abc\x00\xce'.decode('latin-1' + str()) == 'abc\x00\xce' assert b'abc\x00\x7f'.decode('ascii') == 'abc\x00\x7f' assert b'abc\x00\x7f'.decode('ascii' + str()) == 'abc\x00\x7f' assert b'\x80abc'.decode('utf-8', 'ignore') == 'abc' assert b'\x80abc'.decode('UTF-8', 'ignore') == 'abc' assert b'\x80abc'.decode('Utf-8', 'ignore') == 'abc' assert b'\x80abc'.decode('utf_8', 'ignore') == 'abc' assert b'\x80abc'.decode('latin1', 'ignore') == '\x80abc' assert b'\xd2\xbb\xb6\xfe\xc8\xfd'.decode('gbk', 'ignore') == '一二三' assert b'\xd2\xbb\xb6\xfe\xc8\xfd'.decode('latin1', 'ignore') == 'Ò»¶þÈý' assert b'Z\xc3\xbcrich'.decode("utf-8") == 'Zürich' assert b'Z\xc3\xbcrich'.decode("utf-8" + str()) == 'Zürich' assert bytearray(range(5)).decode() == '\x00\x01\x02\x03\x04' b = bytearray(b'\xe4\xbd\xa0\xe5\xa5\xbd') assert b.decode() == '你好' assert b.decode('gbk') == '浣犲ソ' assert b.decode('latin1') == 'ä½\xa0好' assert b.decode('latin1' + str()) == 'ä½\xa0好' def test_decode_error() -> None: try: b'Z\xc3\xbcrich'.decode('ascii') assert False except UnicodeDecodeError: pass try: b'Z\xc3\xbcrich'.decode('ascii' + str()) assert False except UnicodeDecodeError: pass try: b'Z\xc3y'.decode('utf8') assert False except UnicodeDecodeError: pass try: b'Z\xc3y'.decode('utf8' + str()) assert False except UnicodeDecodeError: pass def test_decode_bytearray() -> None: b: bytes = bytearray(b'foo\x00bar') assert b.decode() == 'foo\x00bar' assert b.decode('utf-8') == 'foo\x00bar' assert b.decode('latin-1') == 'foo\x00bar' assert b.decode('ascii') == 'foo\x00bar' assert b.decode('utf-8' + str()) == 'foo\x00bar' assert b.decode('latin-1' + str()) == 'foo\x00bar' assert b.decode('ascii' + str()) == 'foo\x00bar' b2: bytes = bytearray(b'foo\x00bar\xbe') assert b2.decode('latin-1') == 'foo\x00bar\xbe' with assertRaises(UnicodeDecodeError): b2.decode('ascii') with assertRaises(UnicodeDecodeError): b2.decode('ascii' + str()) with assertRaises(UnicodeDecodeError): b2.decode('utf-8') with assertRaises(UnicodeDecodeError): b2.decode('utf-8' + str()) b3: bytes = bytearray(b'Z\xc3\xbcrich') assert b3.decode("utf-8") == 'Zürich' def test_invalid_encoding() -> None: try: b"foo".decode("ut-f-8") assert False except Exception as e: assert repr(e).startswith("LookupError") try: encoding = "ut-f-8" b"foo".decode(encoding) assert False except Exception as e: assert repr(e).startswith("LookupError") [case testEncode] from testutil import assertRaises def test_encode() -> None: u = chr(40960) + 'abcd' + chr(1972) assert u.encode() == b'\xea\x80\x80abcd\xde\xb4' assert u.encode('utf-8') == b'\xea\x80\x80abcd\xde\xb4' with assertRaises(UnicodeEncodeError): u.encode('ascii') with assertRaises(LookupError): u.encode('aaa') assert u.encode('utf-8', 'aaaaaa') == b'\xea\x80\x80abcd\xde\xb4' assert u.encode('ascii', 'ignore') == b'abcd' assert u.encode('ASCII', 'ignore') == b'abcd' assert u.encode('ascii', 'replace') == b'?abcd?' assert u.encode('ascii', 'xmlcharrefreplace') == b'ꀀabcd޴' assert u.encode('ascii', 'backslashreplace') == b'\\ua000abcd\\u07b4' assert u.encode('ascii', 'namereplace') == b'\\N{YI SYLLABLE IT}abcd\\u07b4' assert 'pythön!'.encode() == b'pyth\xc3\xb6n!' assert '一二三'.encode('gbk') == b'\xd2\xbb\xb6\xfe\xc8\xfd' assert u.encode('UTF-8', 'ignore') == b'\xea\x80\x80abcd\xde\xb4' assert u.encode('Utf_8') == b'\xea\x80\x80abcd\xde\xb4' assert u.encode('UTF_8') == b'\xea\x80\x80abcd\xde\xb4' assert u'\u00E1'.encode('latin1') == b'\xe1' with assertRaises(UnicodeEncodeError): u.encode('latin1') [case testUnicodeSurrogate] def f() -> str: return "\ud800" def test_surrogate() -> None: assert ord(f()) == 0xd800 assert ord("\udfff") == 0xdfff assert repr("foobar\x00\xab\ud912\U00012345") == r"'foobar\x00«\ud912𒍅'" [case testStrip] def test_all_strips_default() -> None: s = " a1\t" assert s.lstrip() == "a1\t" assert s.strip() == "a1" assert s.rstrip() == " a1" def test_all_strips() -> None: s = "xxb2yy" assert s.lstrip("xy") == "b2yy" assert s.strip("xy") == "b2" assert s.rstrip("xy") == "xxb2" def test_unicode_whitespace() -> None: assert "\u200A\u000D\u2009\u2020\u000Dtt\u0085\u000A".strip() == "\u2020\u000Dtt" def test_unicode_range() -> None: assert "\u2029 \U00107581 ".lstrip() == "\U00107581 " assert "\u2029 \U0010AAAA\U00104444B\u205F ".strip() == "\U0010AAAA\U00104444B" assert " \u3000\u205F ".strip() == "" assert "\u2029 \U00102865\u205F ".rstrip() == "\u2029 \U00102865" [case testCount] # mypy: disable-error-code="attr-defined" def test_count() -> None: string = "abcbcb" assert string.count("a") == 1 assert string.count("b") == 3 assert string.count("c") == 2 def test_count_start() -> None: string = "abcbcb" assert string.count("a", 2) == string.count("a", -4) == 0, (string.count("a", 2), string.count("a", -4)) assert string.count("b", 2) == string.count("b", -4) == 2, (string.count("b", 2), string.count("b", -4)) assert string.count("c", 2) == string.count("c", -4) == 2, (string.count("c", 2), string.count("c", -4)) # out of bounds assert string.count("a", 8) == 0 assert string.count("a", -8) == 1 assert string.count("b", 8) == 0 assert string.count("b", -8) == 3 assert string.count("c", 8) == 0 assert string.count("c", -8) == 2 def test_count_start_end() -> None: string = "abcbcb" assert string.count("a", 0, 4) == 1, string.count("a", 0, 4) assert string.count("b", 0, 4) == 2, string.count("b", 0, 4) assert string.count("c", 0, 4) == 1, string.count("c", 0, 4) def test_count_multi() -> None: string = "aaabbbcccbbbcccbbb" assert string.count("aaa") == 1, string.count("aaa") assert string.count("bbb") == 3, string.count("bbb") assert string.count("ccc") == 2, string.count("ccc") def test_count_multi_start() -> None: string = "aaabbbcccbbbcccbbb" assert string.count("aaa", 6) == string.count("aaa", -12) == 0, (string.count("aaa", 6), string.count("aaa", -12)) assert string.count("bbb", 6) == string.count("bbb", -12) == 2, (string.count("bbb", 6), string.count("bbb", -12)) assert string.count("ccc", 6) == string.count("ccc", -12) == 2, (string.count("ccc", 6), string.count("ccc", -12)) # out of bounds assert string.count("aaa", 20) == 0 assert string.count("aaa", -20) == 1 assert string.count("bbb", 20) == 0 assert string.count("bbb", -20) == 3 assert string.count("ccc", 20) == 0 assert string.count("ccc", -20) == 2 def test_count_multi_start_end() -> None: string = "aaabbbcccbbbcccbbb" assert string.count("aaa", 0, 12) == 1, string.count("aaa", 0, 12) assert string.count("bbb", 0, 12) == 2, string.count("bbb", 0, 12) assert string.count("ccc", 0, 12) == 1, string.count("ccc", 0, 12) def test_count_emoji() -> None: string = "😴🚀ñ🚀ñ🚀" assert string.count("😴") == 1, string.count("😴") assert string.count("🚀") == 3, string.count("🚀") assert string.count("ñ") == 2, string.count("ñ") def test_count_start_emoji() -> None: string = "😴🚀ñ🚀ñ🚀" assert string.count("😴", 2) == string.count("😴", -4) == 0, (string.count("😴", 2), string.count("😴", -4)) assert string.count("🚀", 2) == string.count("🚀", -4) == 2, (string.count("🚀", 2), string.count("🚀", -4)) assert string.count("ñ", 2) == string.count("ñ", -4) == 2, (string.count("ñ", 2), string.count("ñ", -4)) # Out of bounds assert string.count("😴", 8) == 0, string.count("😴", 8) assert string.count("😴", -8) == 1, string.count("😴", -8) assert string.count("🚀", 8) == 0, string.count("🚀", 8) assert string.count("🚀", -8) == 3, string.count("🚀", -8) assert string.count("ñ", 8) == 0, string.count("ñ", 8) assert string.count("ñ", -8) == 2, string.count("ñ", -8) def test_count_start_end_emoji() -> None: string = "😴🚀ñ🚀ñ🚀" assert string.count("😴", 0, 4) == 1, string.count("😴", 0, 4) assert string.count("🚀", 0, 4) == 2, string.count("🚀", 0, 4) assert string.count("ñ", 0, 4) == 1, string.count("ñ", 0, 4) def test_count_multi_emoji() -> None: string = "😴😴😴🚀🚀🚀ñññ🚀🚀🚀ñññ🚀🚀🚀" assert string.count("😴😴😴") == 1, string.count("😴😴😴") assert string.count("🚀🚀🚀") == 3, string.count("🚀🚀🚀") assert string.count("ñññ") == 2, string.count("ñññ") def test_count_multi_start_emoji() -> None: string = "😴😴😴🚀🚀🚀ñññ🚀🚀🚀ñññ🚀🚀🚀" assert string.count("😴😴😴", 6) == string.count("😴😴😴", -12) == 0, (string.count("😴😴😴", 6), string.count("😴😴😴", -12)) assert string.count("🚀🚀🚀", 6) == string.count("🚀🚀🚀", -12) == 2, (string.count("🚀🚀🚀", 6), string.count("🚀🚀🚀", -12)) assert string.count("ñññ", 6) == string.count("ñññ", -12) == 2, (string.count("ñññ", 6), string.count("ñññ", -12)) # Out of bounds assert string.count("😴😴😴", 20) == 0, string.count("😴😴😴", 20) assert string.count("😴😴😴", -20) == 1, string.count("😴😴😴", -20) assert string.count("🚀🚀🚀", 20) == 0, string.count("🚀🚀🚀", 20) assert string.count("🚀🚀🚀", -20) == 3, string.count("🚀🚀🚀", -20) assert string.count("ñññ", 20) == 0, string.count("ñññ", 20) assert string.count("ñññ", -20) == 2, string.count("ñññ", -20) def test_count_multi_start_end_emoji() -> None: string = "😴😴😴🚀🚀🚀ñññ🚀🚀🚀ñññ🚀🚀🚀" assert string.count("😴😴😴", 0, 12) == 1, string.count("😴😴😴", 0, 12) assert string.count("🚀🚀🚀", 0, 12) == 2, string.count("🚀🚀🚀", 0, 12) assert string.count("ñññ", 0, 12) == 1, string.count("ñññ", 0, 12) [case testIsInstance] from copysubclass import subc from typing import Any def test_built_in() -> None: s: Any = str() assert isinstance(s, str) assert isinstance(s + "test", str) assert isinstance(s + "ñññ", str) assert isinstance(subc(), str) assert isinstance(subc("test"), str) assert isinstance(subc("ñññ"), str) assert not isinstance(set(), str) assert not isinstance((), str) assert not isinstance(('a','b'), str) assert not isinstance({'a','b'}, str) assert not isinstance(int() + 1, str) assert not isinstance(['a','b'], str) def test_user_defined() -> None: from userdefinedstr import str s: Any = "str" assert isinstance(str(), str) assert not isinstance(s, str) [file copysubclass.py] from typing import Any class subc(str): pass [file userdefinedstr.py] class str: pass [case testStrOptionalEquality] from __future__ import annotations def eq_s_opt_s_opt(x: str | None, y: str | None) -> bool: return x == y def ne_s_opt_s_opt(x: str | None, y: str | None) -> bool: return x != y def test_optional_eq() -> None: s = 'x' assert eq_s_opt_s_opt(s, s) assert eq_s_opt_s_opt(s + str(int()), s + str(int())) assert eq_s_opt_s_opt(None, None) assert not eq_s_opt_s_opt('x', 'y') assert not eq_s_opt_s_opt('y', 'x') assert not eq_s_opt_s_opt(None, 'x') assert not eq_s_opt_s_opt('x', None) def test_optional_ne() -> None: s = 'x' assert not ne_s_opt_s_opt(s, s) assert not ne_s_opt_s_opt(s + str(int()), s+ str(int())) assert not ne_s_opt_s_opt(None, None) assert ne_s_opt_s_opt('x', 'y') assert ne_s_opt_s_opt('y', 'x') assert ne_s_opt_s_opt(None, 'x') assert ne_s_opt_s_opt('x', None) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-traits.test0000644000175100017510000001354515112307767020327 0ustar00runnerrunner[case testTraitBasic1] from mypy_extensions import trait class A: line: int def foo(self) -> None: print("foo") @trait class T: def bar(self) -> None: print("bar") def baz(self) -> object: return None class C(A, T): def baz(self) -> int: return 10 def use_t(t: T) -> object: t.bar() return t.baz() def use_c(c: C) -> int: use_t(c) c.foo() c.bar() return c.baz() use_t(C()) # This trait is dead code but there's no reason it shouldn't compile @trait class ChildlessTrait: def __init__(self) -> None: pass [file driver.py] from native import A, T, C, use_c, use_t c = C() c.foo() c.bar() assert c.baz() == 10 assert use_c(c) == 10 assert use_t(c) == 10 [out] bar foo bar bar foo bar bar [case testTraitBasic2] from mypy_extensions import trait class A: line: int def foo(self) -> None: print("foo") @trait class T: def bar(self) -> None: print("bar", self.baz()) def baz(self) -> int: return -1 @trait class T2: line: int def baz(self) -> int: return -2 class C(A, T): def __init__(self) -> None: self.line = 1337 self.x = 12 def baz(self) -> int: return self.x class D(C, T2): def __init__(self) -> None: self.line = 1337 self.x = 13 @trait class T3: def baz(self) -> int: return -2 class E(T3): def __init__(self) -> None: pass def use_t(t: T) -> None: t.bar() def use_t2(t: T2) -> int: t.line = t.line return t.line def use_c(c: C) -> int: use_t(c) c.foo() c.bar() return c.line def use_d(d: D) -> int: return d.baz() [file driver.py] from native import A, T, C, D, use_c, use_t, use_d, use_t2 c = C() d = D() c.foo() c.bar() print("baz", c.baz()) print("baz", d.baz()) use_c(c) use_t(c) use_c(d) use_t(d) assert use_d(d) == 13 print(d.line) assert d.line == 1337 assert use_t2(d) == 1337 [out] foo bar 12 baz 12 baz 13 bar 12 foo bar 12 bar 12 bar 13 foo bar 13 bar 13 1337 [case testTrait3] from mypy_extensions import trait from typing import Generic, TypeVar @trait class T1: pass @trait class T2: pass T = TypeVar('T') class C(Generic[T], T1, T2): pass @trait class S1(Generic[T]): def foo(self) -> None: pass def bar(self, x: T) -> T: raise Exception @trait class S2(S1[T]): def bar(self, x: T) -> T: return x @trait class S3(S2[T]): def bar(self, x: T) -> T: return x class D(S3[bool]): def bar(self, x: bool) -> bool: return x [file driver.py] import native [case testTrait4] from mypy_extensions import trait from typing import Generic, TypeVar T = TypeVar('T') @trait class S1(Generic[T]): def bar(self) -> T: raise Exception class S2(S1[bool]): def bar(self) -> bool: return False class D(S2): pass def lol(x: S1) -> None: x.bar() [file driver.py] import native native.lol(native.D()) [case testTraitOrdering] import other_b # Regression test for a bug where inheriting from a class that # inherited from a trait that got processed later on the command line # filed to compile. [file other_b.py] from other_c import Plugin class Whatever(Plugin): pass [file other_c.py] from mypy_extensions import trait @trait class Base: x = None # type: int class Plugin(Base): def __init__(self) -> None: self.x = 10 [file driver.py] from native import * [case testDiamond] from mypy_extensions import trait @trait class Base: def get_value(self) -> str: return "Base" @trait class Trait(Base): def get_value(self) -> str: return "Trait" class Message(Base): def show_message(self) -> None: print("I am a " + self.get_value()) class DerivedMessage(Message, Trait): pass [file driver.py] from native import * a = Message() a.show_message() b = DerivedMessage() b.show_message() [out] I am a Base I am a Trait [case testTraitAttrsSubTrait] from mypy_extensions import trait class A: a: int @trait class T1: x: int @trait class T2(T1): y: int class C(A, T2): c: int def f(t1: T1, t2: T2) -> None: t1.x, t2.x = t2.x, t1.x def g(t1: T1, t2: T2) -> None: t2.y = t1.x def get_x(c: C) -> int: return c.x def get_y(c: C) -> int: return c.y [file driver.py] from native import C, f, g, get_x, get_y c1 = C() c2 = C() c1.x = 1 c1.y = 0 c2.x = 2 c2.y = 0 f(c1, c2) assert c1.x == 2 assert c2.x == 1 assert get_x(c1) == 2 assert get_x(c2) == 1 assert get_y(c2) == 0 g(c1, c2) assert get_y(c2) == 2 [out] [case testTraitAttrsTriangle] from mypy_extensions import trait class A: a: int @trait class T(A): x: int def meth(self) -> int: return self.a class B(A): b: int class C(B, T): pass def take_t(t: T) -> int: return t.x + t.meth() def take_c(c: C) -> int: return c.x + c.meth() [file driver.py] from native import C, take_t, take_c c = C() c.a = 1 c.x = 10 assert take_t(c) == take_c(c) == 11 [out] [case testTraitAttrsTree] from mypy_extensions import trait class A: a: int @trait class T1: x: int class B(A, T1): b: int @trait class T2: x: int class C(B, T2): pass def f(t1: T1, t2: T2) -> None: t1.x, t2.x = t2.x, t1.x def g(c1: C, c2: C) -> None: c1.x, c2.x = c2.x, c1.x [file driver.py] from native import C, f, g c1 = C() c2 = C() c1.x = 1 c2.x = 2 f(c1, c2) assert c1.x == 2 assert c2.x == 1 g(c1, c2) assert c1.x == 1 assert c2.x == 2 [out] [case testTraitErrorMessages] from mypy_extensions import trait @trait class Trait: pass def create() -> Trait: return Trait() [file driver.py] from native import Trait, create from testutil import assertRaises with assertRaises(TypeError, "traits may not be directly created"): Trait() with assertRaises(TypeError, "traits may not be directly created"): create() class Sub(Trait): pass with assertRaises(TypeError, "interpreted classes cannot inherit from compiled traits"): Sub() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-tuples.test0000644000175100017510000002412715112307767020333 0ustar00runnerrunner# Test cases for tuples (compile and run) [case testTuple] from typing import List, Optional, Tuple from typing import Tuple def f(x: Tuple[int, int]) -> Tuple[int,int]: return x def lurr(x: List[Optional[Tuple[int, str]]]) -> object: return x[0] def asdf(x: Tuple[int, str]) -> None: pass [file driver.py] from testutil import assertRaises from native import f, lurr, asdf assert f((1,2)) == (1, 2) assert lurr([(1, '2')]) == (1, '2') with assertRaises(TypeError): print(lurr([(1, 2)])) with assertRaises(TypeError): asdf((1, 2)) [case testTupleGet] from typing import Tuple def f(x: Tuple[Tuple[int, bool], int]) -> int: return x[0][0] [file driver.py] from native import f print(f(((1,True),2))) big_number = pow(2, 80) print(f(((big_number,True),2))) [out] 1 1208925819614629174706176 [case testSequenceTupleArg] from typing import Tuple def f(x: Tuple[int, ...]) -> int: return x[1] [file driver.py] from native import f print(f((1,2,3,4))) [out] 2 [case testTupleAttr] from typing import Tuple class C: b: Tuple[Tuple[Tuple[int, int], int], int, str, object] c: Tuple[()] def f() -> None: c = C() c.b = (((1, 2), 2), 1, 'hi', 'hi2') print(c.b) def g() -> None: try: h() except Exception: print('caught the exception') def h() -> Tuple[Tuple[Tuple[int, int], int], int, str, object]: raise Exception('Intentional exception') [file driver.py] from native import f, g, C f() g() assert not hasattr(C(), 'c') [out] (((1, 2), 2), 1, 'hi', 'hi2') caught the exception [case testNamedTupleAttributeRun] from typing import NamedTuple NT = NamedTuple('NT', [('x', int), ('y', int)]) def f(nt: NT) -> int: if nt.x > nt.y: return nt.x return nt.y nt = NT(1, 2) [file driver.py] from native import NT, nt, f assert f(nt) == 2 assert f(NT(3, 2)) == 3 class Sub(NT): pass assert f(Sub(3, 2)) == 3 -- Ref: https://github.com/mypyc/mypyc/issues/924 [case testNamedTupleClassSyntax] from typing import Dict, List, NamedTuple, Optional, Tuple, Union, final class FuncIR: pass StealsDescription = Union[bool, List[bool]] class Record(NamedTuple): st_mtime: float st_size: int is_borrowed: bool hash: str python_path: Tuple[str, ...] type: 'ClassIR' method: FuncIR shadow_method: Optional[FuncIR] classes: Dict[str, 'ClassIR'] steals: StealsDescription ordering: Optional[List[int]] extra_int_constants: List[Tuple[int]] # Make sure mypyc loads the annotation string for this forward reference. # Ref: https://github.com/mypyc/mypyc/issues/938 class ClassIR: pass # Ref: https://github.com/mypyc/mypyc/issues/927 @final class Inextensible(NamedTuple): x: int [file driver.py] import sys from typing import Optional from native import ClassIR, FuncIR, Record HAVE_TEST = False if sys.version_info >= (3, 14): try: from test.support import EqualToForwardRef type_forward_ref = EqualToForwardRef HAVE_TEST = True except ImportError as e: # catch the case of a pymanager installed Python # without the test module. It is excluded by default # on Windows. msg = 'Missing "test" module.' if sys.platform == "win32": msg += (' Please install a version of Python with the test module.' ' If you are using pymanager, try running pymanager install --force PythonTest\\') raise ImportError(msg) from e if not HAVE_TEST: from typing import ForwardRef type_forward_ref = ForwardRef assert Record.__annotations__ == { 'st_mtime': float, 'st_size': int, 'is_borrowed': bool, 'hash': str, 'python_path': tuple, 'type': type_forward_ref('ClassIR'), 'method': FuncIR, 'shadow_method': type, 'classes': dict, 'steals': type, 'ordering': type, 'extra_int_constants': list, }, Record.__annotations__ [case testTupleOps] from typing import Tuple, Final, List, Any, Optional, cast from testutil import assertRaises def f() -> Tuple[()]: return () def test_empty_tuple() -> None: assert f() == () def f2() -> Any: return () def test_empty_tuple_with_any_type(): assert f2() == () def f3() -> int: x = (False, 1) return x[1] def test_new_tuple() -> None: assert f3() == 1 def f4(y: int) -> int: x = (False, y) return x[1] def test_new_tuple_boxed_int() -> None: big_number = 1208925819614629174706176 assert f4(big_number) == big_number def f5(x: List[int]) -> int: return tuple(x)[1] def test_sequence_tuple() -> None: assert f5([1,2,3,4]) == 2 def f6(x: List[int]) -> int: return len(tuple(x)) def test_sequence_tuple_len() -> None: assert f6([1,2,3,4]) == 4 def f7(x: List[Tuple[int, int]]) -> int: a, b = x[0] return a + b def test_unbox_tuple() -> None: assert f7([(5, 6)]) == 11 def test_comparison() -> None: assert ('x','y') == ('x','y') assert not(('x','y') != ('x','y')) assert ('x','y') != ('x','y',1) assert not(('x','y') == ('x','y',1)) assert ('x','y',1) != ('x','y') assert not(('x','y',1) == ('x','y')) assert ('x','y') != () assert not(('x','y') == ()) assert () != ('x','y') assert not(() == ('x','y')) # Test that order is irrelevant to unions. Really I only care that this builds. class A: pass def lol() -> A: return A() def foo(x: bool, y: bool) -> Tuple[Optional[A], bool]: z = lol() return None if y else z, x def test_slicing() -> None: # Use dummy adds to avoid constant folding zero = int() two = zero + 2 s: Tuple[str, ...] = ("f", "o", "o", "b", "a", "r") assert s[two:] == ("o", "b", "a", "r") assert s[:two] == ("f", "o") assert s[two:-two] == ("o", "b") assert s[two:two] == () assert s[two:two + 1] == ("o",) assert s[-two:] == ("a", "r") assert s[:-two] == ("f", "o", "o", "b") assert s[:] == ("f", "o", "o", "b", "a", "r") assert s[two:333] == ("o", "b", "a", "r") assert s[333:two] == () assert s[two:-333] == () assert s[-333:two] == ("f", "o") long_int: int = 1000 * 1000 * 1000 * 1000 * 1000 * 1000 * 1000 assert s[1:long_int] == ("o", "o", "b", "a", "r") assert s[long_int:] == () assert s[-long_int:-1] == ("f", "o", "o", "b", "a") def f8(val: int) -> bool: return val % 2 == 0 abc: Final = "abc" def known_length() -> tuple[str, ...]: return tuple(str(x) for x in [*abc, *"def", *b"ghi", ("j", "k"), *("l", "m", "n")]) def test_sequence_generator() -> None: source_list = [1, 2, 3] a = tuple(f8(x) for x in source_list) assert a == (False, True, False) source_tuple: Tuple[int, ...] = (1, 2, 3) a = tuple(f8(x) for x in source_tuple) assert a == (False, True, False) source_fixed_length_tuple = (1, 2, 3, 4) a = tuple(f8(x) for x in source_fixed_length_tuple) assert a == (False, True, False, True) source_str = 'abbc' b = tuple('s:' + x for x in source_str) assert b == ('s:a', 's:b', 's:b', 's:c') assert known_length() == ('a', 'b', 'c', 'd', 'e', 'f', '103', '104', '105', "('j', 'k')", 'l', 'm', 'n') TUPLE: Final[Tuple[str, ...]] = ('x', 'y') def test_final_boxed_tuple() -> None: t = TUPLE assert t == ('x', 'y') assert 'x' in TUPLE assert 'y' in TUPLE b: object = 'z' in TUPLE assert not b assert 'z' not in TUPLE b2: object = 'x' not in TUPLE assert not b2 b3: object = 'y' not in TUPLE assert not b3 TUP2: Final = ('x', 'y') TUP1: Final = ('x',) TUP0: Final = () def test_final_tuple_in() -> None: assert 'x' + str() in TUP2 assert 'y' + str() in TUP2 b: object = 'z' + str() in TUP2 assert not b assert 'x' + str() in TUP1 b2: object = 'y' in TUP1 assert not b2 b3: object = 'x' in TUP0 assert not b3 def test_final_tuple_not_in() -> None: assert 'z' + str() not in TUP2 b: object = 'x' + str() not in TUP2 assert not b b2: object = 'y' + str() not in TUP2 assert not b2 assert 'y' + str() not in TUP1 b3: object = 'x' not in TUP1 assert not b2 assert 'x' not in TUP0 log = [] def f_a() -> str: log.append('f_a') return 'a' def f_a2() -> str: log.append('f_a2') return 'a' def f_b() -> str: log.append('f_b') return 'b' def f_c() -> str: log.append('f_c') return 'c' def test_tuple_in_order_of_evaluation() -> None: log.clear() assert f_a() in (f_b(), f_a2()) assert log ==["f_a", "f_b", "f_a2"] log.clear() assert f_a() not in (f_b(), f_c()) assert log ==["f_a", "f_b", "f_c"] log.clear() assert f_a() in (f_b(), f_a2(), f_c()) assert log ==["f_a", "f_b", "f_a2", "f_c"] def f_t() -> tuple[str, ...]: log.append('f_t') return ('x', 'a') def test_tuple_in_non_specialized() -> None: log.clear() assert f_a() in f_t() assert log == ["f_a", "f_t"] log.clear() assert f_b() not in f_t() assert log == ["f_b", "f_t"] def test_add() -> None: res = (1, 2, 3, 4) assert (1, 2) + (3, 4) == res with assertRaises(TypeError, 'can only concatenate tuple (not "list") to tuple'): assert (1, 2) + cast(Any, [3, 4]) == res def multiply(a: Tuple[Any, ...], b: int) -> Tuple[Any, ...]: return a * b def test_multiply() -> None: res = (1, 1, 1) assert (1,) * 3 == res assert 3 * (1,) == res assert multiply((1,), 3) == res [case testIsInstance] from copysubclass import subc def test_built_in() -> None: assert isinstance((), tuple) assert isinstance((1, 2), tuple) assert isinstance(('a', 'b', 'c'), tuple) assert isinstance(subc(()), tuple) assert isinstance(subc((1, 2)), tuple) assert isinstance(subc(('a', 'b', 'c')), tuple) assert not isinstance(set(), tuple) assert not isinstance({}, tuple) assert not isinstance([1,2,3], tuple) assert not isinstance({'a','b'}, tuple) assert not isinstance(int() + 1, tuple) assert not isinstance(str() + 'a', tuple) def test_user_defined() -> None: from userdefinedtuple import tuple assert isinstance(tuple(), tuple) assert not isinstance((1, tuple()), tuple) [file copysubclass.py] from typing import Any class subc(tuple[Any]): pass [file userdefinedtuple.py] class tuple: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-u8.test0000644000175100017510000001645315112307767017356 0ustar00runnerrunner[case testU8BasicOps] from typing import Any, Final, Tuple from mypy_extensions import u8, i16, i32, i64 from testutil import assertRaises ERROR: Final = 239 def test_box_and_unbox() -> None: for i in range(0, 256): o: Any = i x: u8 = o o2: Any = x assert o == o2 assert x == i with assertRaises(OverflowError, "int too large or small to convert to u8"): o = 256 x2: u8 = o with assertRaises(OverflowError, "int too large or small to convert to u8"): o = -1 x3: u8 = o def div_by_7(x: u8) -> u8: return x // 7 def div(x: u8, y: u8) -> u8: return x // y def test_divide_by_constant() -> None: for i in range(0, 256): assert div_by_7(i) == i // 7 def test_divide_by_variable() -> None: for x in range(0, 256): for y in range(0, 256): if y != 0: assert div(x, y) == x // y else: with assertRaises(ZeroDivisionError, "integer division or modulo by zero"): div(x, y) def mod_by_7(x: u8) -> u8: return x % 7 def mod(x: u8, y: u8) -> u8: return x % y def test_mod_by_constant() -> None: for i in range(0, 256): assert mod_by_7(i) == i % 7 def test_mod_by_variable() -> None: for x in range(0, 256): for y in range(0, 256): if y != 0: assert mod(x, y) == x % y else: with assertRaises(ZeroDivisionError, "integer division or modulo by zero"): mod(x, y) def test_simple_arithmetic_ops() -> None: zero: u8 = int() one: u8 = zero + 1 two: u8 = one + 1 neg_one: u8 = -one assert neg_one == 255 assert one + one == 2 assert one + two == 3 assert one + neg_one == 0 assert one - one == 0 assert one - two == 255 assert one * one == 1 assert one * two == 2 assert two * two == 4 assert two * neg_one == 254 assert neg_one * one == 255 assert neg_one * neg_one == 1 assert two * 0 == 0 assert 0 * two == 0 assert -one == 255 assert -two == 254 assert -neg_one == 1 assert -zero == 0 def test_bitwise_ops() -> None: x: u8 = 184 + int() y: u8 = 79 + int() z: u8 = 113 + int() zero: u8 = int() one: u8 = zero + 1 two: u8 = zero + 2 neg_one: u8 = -one assert x & y == 8 assert x & z == 48 assert z & z == z assert x & zero == 0 assert x | y == 255 assert x | z == 249 assert z | z == z assert x | 0 == x assert x ^ y == 247 assert x ^ z == 201 assert z ^ z == 0 assert z ^ 0 == z assert x << one == 112 assert x << two == 224 assert z << two == 196 assert z << 0 == z assert x >> one == 92 assert x >> two == 46 assert z >> two == 28 assert z >> 0 == z for i in range(256): t: u8 = i assert ~t == (~(i + int()) & 0xff) def eq(x: u8, y: u8) -> bool: return x == y def test_eq() -> None: assert eq(int(), int()) assert eq(5 + int(), 5 + int()) assert not eq(int(), 1 + int()) assert not eq(5 + int(), 6 + int()) def test_comparisons() -> None: one: u8 = 1 + int() one2: u8 = 1 + int() two: u8 = 2 + int() assert one < two assert not (one < one2) assert not (two < one) assert two > one assert not (one > one2) assert not (one > two) assert one <= two assert one <= one2 assert not (two <= one) assert two >= one assert one >= one2 assert not (one >= two) assert one == one2 assert not (one == two) assert one != two assert not (one != one2) def test_mixed_comparisons() -> None: u8_3: u8 = int() + 3 int_5 = int() + 5 assert u8_3 < int_5 assert int_5 > u8_3 b = u8_3 > int_5 assert not b int_largest = int() + 255 assert int_largest > u8_3 int_smallest = int() assert u8_3 > int_smallest int_too_big = int() + 256 int_too_small = int() -1 with assertRaises(OverflowError): assert u8_3 < int_too_big with assertRaises(OverflowError): assert int_too_big < u8_3 with assertRaises(OverflowError): assert u8_3 > int_too_small with assertRaises(OverflowError): assert int_too_small < u8_3 def test_mixed_arithmetic_and_bitwise_ops() -> None: u8_3: u8 = int() + 3 int_5 = int() + 5 assert u8_3 + int_5 == 8 assert int_5 - u8_3 == 2 assert u8_3 << int_5 == 96 assert int_5 << u8_3 == 40 assert u8_3 ^ int_5 == 6 assert int_5 | u8_3 == 7 int_largest = int() + 255 assert int_largest - u8_3 == 252 int_smallest = int() assert int_smallest + u8_3 == 3 int_too_big = int() + 256 int_too_small = int() - 1 with assertRaises(OverflowError): assert u8_3 & int_too_big with assertRaises(OverflowError): assert int_too_small & u8_3 def test_coerce_to_and_from_int() -> None: for n in range(0, 256): x: u8 = n m: int = x assert m == n def test_explicit_conversion_to_u8() -> None: x = u8(5) assert x == 5 y = int() + ERROR x = u8(y) assert x == ERROR n64: i64 = 233 x = u8(n64) assert x == 233 n32: i32 = 234 x = u8(n32) assert x == 234 z = u8(x) assert z == 234 n16: i16 = 231 x = u8(n16) assert x == 231 def test_explicit_conversion_overflow() -> None: max_u8 = int() + 255 x = u8(max_u8) assert x == 255 assert int(x) == max_u8 min_u8 = int() y = u8(min_u8) assert y == 0 assert int(y) == min_u8 too_big = int() + 256 with assertRaises(OverflowError): x = u8(too_big) too_small = int() - 1 with assertRaises(OverflowError): x = u8(too_small) def test_u8_from_large_small_literal() -> None: x = u8(255) # XXX u8(2**15 - 1) assert x == 255 x = u8(0) assert x == 0 def test_u8_truncate_from_i64() -> None: large = i64(2**32 + 256 + 157 + int()) x = u8(large) assert x == 157 small = i64(-2**32 - 256 - 157 + int()) x = u8(small) assert x == 256 - 157 large2 = i64(2**8 + int()) x = u8(large2) assert x == 0 small2 = i64(-2**8 - 1 - int()) x = u8(small2) assert x == 255 def test_u8_truncate_from_i32() -> None: large = i32(2**16 + 2**8 + 5 + int()) assert u8(large) == 5 small = i32(-2**16 - 2**8 - 1 + int()) assert u8(small) == 255 def from_float(x: float) -> u8: return u8(x) def test_explicit_conversion_from_float() -> None: assert from_float(0.0) == 0 assert from_float(1.456) == 1 assert from_float(234.567) == 234 assert from_float(255) == 255 assert from_float(0) == 0 assert from_float(-0.999) == 0 # The error message could be better, but this is acceptable with assertRaises(OverflowError, "int too large or small to convert to u8"): assert from_float(float(256)) with assertRaises(OverflowError, "int too large or small to convert to u8"): # One ulp below the lowest valid i64 value from_float(float(-1.0)) def test_tuple_u8() -> None: a: u8 = 1 b: u8 = 2 t = (a, b) a, b = t assert a == 1 assert b == 2 x: Any = t tt: Tuple[u8, u8] = x assert tt == (1, 2) def test_convert_u8_to_native_int() -> None: for i in range(256): x: u8 = i assert i16(x) == i assert i32(x) == i assert i64(x) == i ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/test-data/run-weakref.test0000644000175100017510000000271415112307767020441 0ustar00runnerrunner# Test cases for weakrefs (compile and run) [case testWeakrefRef] # mypy: disable-error-code="union-attr" from weakref import proxy, ref from mypy_extensions import mypyc_attr from testutil import assertRaises from typing import Optional @mypyc_attr(native_class=False) class Object: """some random weakreffable object""" def some_meth(self) -> int: return 1 _callback_called_cache = {"ref": False, "proxy": False} def test_weakref_ref() -> None: obj: Optional[Object] = Object() r = ref(obj) assert r() is obj obj = None assert r() is None, r() def test_weakref_ref_with_callback() -> None: obj: Optional[Object] = Object() r = ref(obj, lambda x: _callback_called_cache.__setitem__("ref", True)) assert r() is obj obj = None assert r() is None, r() assert _callback_called_cache["ref"] is True def test_weakref_proxy() -> None: obj: Optional[Object] = Object() p = proxy(obj) assert obj.some_meth() == 1 assert p.some_meth() == 1 obj.some_meth() obj = None with assertRaises(ReferenceError): p.some_meth() def test_weakref_proxy_with_callback() -> None: obj: Optional[Object] = Object() p = proxy(obj, lambda x: _callback_called_cache.__setitem__("proxy", True)) assert obj.some_meth() == 1 assert p.some_meth() == 1 obj.some_meth() obj = None with assertRaises(ReferenceError): p.some_meth() assert _callback_called_cache["proxy"] is True ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.680766 mypy-1.19.0/mypyc/transform/0000755000175100017510000000000015112310012015404 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/__init__.py0000644000175100017510000000000015112307767017532 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/copy_propagation.py0000644000175100017510000000655315112307767021373 0ustar00runnerrunner"""Simple copy propagation optimization. Example input: x = f() y = x The register x is redundant and we can directly assign its value to y: y = f() This can optimize away registers that are assigned to once. """ from __future__ import annotations from mypyc.ir.func_ir import FuncIR from mypyc.ir.ops import Assign, AssignMulti, LoadAddress, LoadErrorValue, Register, Value from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.options import CompilerOptions from mypyc.sametype import is_same_type from mypyc.transform.ir_transform import IRTransform def do_copy_propagation(fn: FuncIR, options: CompilerOptions) -> None: """Perform copy propagation optimization for fn.""" # Anything with an assignment count >1 will not be optimized # here, as it would be require data flow analysis and we want to # keep this simple and fast, at least until we've made data flow # analysis much faster. counts: dict[Value, int] = {} replacements: dict[Value, Value] = {} for arg in fn.arg_regs: # Arguments are always assigned to initially counts[arg] = 1 for block in fn.blocks: for op in block.ops: if isinstance(op, Assign): c = counts.get(op.dest, 0) counts[op.dest] = c + 1 # Does this look like a supported assignment? # TODO: Something needs LoadErrorValue assignments to be preserved? if ( c == 0 and is_same_type(op.dest.type, op.src.type) and not isinstance(op.src, LoadErrorValue) ): replacements[op.dest] = op.src elif c == 1: # Too many assignments -- don't replace this one replacements.pop(op.dest, 0) elif isinstance(op, AssignMulti): # Copy propagation not supported for AssignMulti destinations counts[op.dest] = 2 replacements.pop(op.dest, 0) elif isinstance(op, LoadAddress): # We don't support taking the address of an arbitrary Value, # so we'll need to preserve the operands of LoadAddress. if isinstance(op.src, Register): counts[op.src] = 2 replacements.pop(op.src, 0) # Follow chains of propagation with more than one assignment. for src, dst in list(replacements.items()): if counts.get(dst, 0) > 1: # Not supported del replacements[src] else: while dst in replacements: dst = replacements[dst] if counts.get(dst, 0) > 1: # Not supported del replacements[src] if src in replacements: replacements[src] = dst builder = LowLevelIRBuilder(None, options) transform = CopyPropagationTransform(builder, replacements) transform.transform_blocks(fn.blocks) fn.blocks = builder.blocks class CopyPropagationTransform(IRTransform): def __init__(self, builder: LowLevelIRBuilder, map: dict[Value, Value]) -> None: super().__init__(builder) self.op_map.update(map) self.removed = set(map) def visit_assign(self, op: Assign) -> Value | None: if op.dest in self.removed: return None return self.add(op) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/exceptions.py0000644000175100017510000001441615112307767020174 0ustar00runnerrunner"""Transform that inserts error checks after opcodes. When initially building the IR, the code doesn't perform error checks for exceptions. This module is used to insert all required error checks afterwards. Each Op describes how it indicates an error condition (if at all). We need to split basic blocks on each error check since branches can only be placed at the end of a basic block. """ from __future__ import annotations from mypyc.ir.func_ir import FuncIR from mypyc.ir.ops import ( ERR_ALWAYS, ERR_FALSE, ERR_MAGIC, ERR_MAGIC_OVERLAPPING, ERR_NEVER, NO_TRACEBACK_LINE_NO, BasicBlock, Branch, CallC, ComparisonOp, Float, GetAttr, Integer, LoadErrorValue, Op, RegisterOp, Return, SetAttr, TupleGet, Value, ) from mypyc.ir.rtypes import RTuple, bool_rprimitive, is_float_rprimitive from mypyc.primitives.exc_ops import err_occurred_op from mypyc.primitives.registry import CFunctionDescription def insert_exception_handling(ir: FuncIR) -> None: # Generate error block if any ops may raise an exception. If an op # fails without its own error handler, we'll branch to this # block. The block just returns an error value. error_label: BasicBlock | None = None for block in ir.blocks: adjust_error_kinds(block) if error_label is None and any(op.can_raise() for op in block.ops): error_label = add_default_handler_block(ir) if error_label: ir.blocks = split_blocks_at_errors(ir.blocks, error_label, ir.traceback_name) def add_default_handler_block(ir: FuncIR) -> BasicBlock: block = BasicBlock() ir.blocks.append(block) op = LoadErrorValue(ir.ret_type) block.ops.append(op) block.ops.append(Return(op)) return block def split_blocks_at_errors( blocks: list[BasicBlock], default_error_handler: BasicBlock, func_name: str | None ) -> list[BasicBlock]: new_blocks: list[BasicBlock] = [] # First split blocks on ops that may raise. for block in blocks: ops = block.ops block.ops = [] cur_block = block new_blocks.append(cur_block) # If the block has an error handler specified, use it. Otherwise # fall back to the default. error_label = block.error_handler or default_error_handler block.error_handler = None for op in ops: target: Value = op cur_block.ops.append(op) if isinstance(op, RegisterOp) and op.error_kind != ERR_NEVER: # Split new_block = BasicBlock() new_blocks.append(new_block) if op.error_kind == ERR_MAGIC: # Op returns an error value on error that depends on result RType. variant = Branch.IS_ERROR negated = False elif op.error_kind == ERR_FALSE: # Op returns a C false value on error. variant = Branch.BOOL negated = True elif op.error_kind == ERR_ALWAYS: variant = Branch.BOOL negated = True # this is a hack to represent the always fail # semantics, using a temporary bool with value false target = Integer(0, bool_rprimitive) elif op.error_kind == ERR_MAGIC_OVERLAPPING: comp = insert_overlapping_error_value_check(cur_block.ops, target) new_block2 = BasicBlock() new_blocks.append(new_block2) branch = Branch( comp, true_label=new_block2, false_label=new_block, op=Branch.BOOL, rare=True, ) cur_block.ops.append(branch) cur_block = new_block2 target = primitive_call(err_occurred_op, [], target.line) cur_block.ops.append(target) variant = Branch.IS_ERROR negated = True else: assert False, "unknown error kind %d" % op.error_kind # Void ops can't generate errors since error is always # indicated by a special value stored in a register. if op.error_kind != ERR_ALWAYS: assert not op.is_void, "void op generating errors?" branch = Branch( target, true_label=error_label, false_label=new_block, op=variant, line=op.line ) branch.negated = negated if op.line != NO_TRACEBACK_LINE_NO and func_name is not None: branch.traceback_entry = (func_name, op.line) cur_block.ops.append(branch) cur_block = new_block return new_blocks def primitive_call(desc: CFunctionDescription, args: list[Value], line: int) -> CallC: return CallC( desc.c_function_name, [], desc.return_type, desc.steals, desc.is_borrowed, desc.error_kind, line, ) def adjust_error_kinds(block: BasicBlock) -> None: """Infer more precise error_kind attributes for ops. We have access here to more information than what was available when the IR was initially built. """ for op in block.ops: if isinstance(op, GetAttr): if op.class_type.class_ir.is_always_defined(op.attr): op.error_kind = ERR_NEVER if isinstance(op, SetAttr): if op.class_type.class_ir.is_always_defined(op.attr): op.error_kind = ERR_NEVER def insert_overlapping_error_value_check(ops: list[Op], target: Value) -> ComparisonOp: """Append to ops to check for an overlapping error value.""" typ = target.type if isinstance(typ, RTuple): item = TupleGet(target, 0) ops.append(item) return insert_overlapping_error_value_check(ops, item) else: errvalue: Value if is_float_rprimitive(target.type): errvalue = Float(float(typ.c_undefined)) else: errvalue = Integer(int(typ.c_undefined), rtype=typ) op = ComparisonOp(target, errvalue, ComparisonOp.EQ) ops.append(op) return op ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/flag_elimination.py0000644000175100017510000000671315112307767021315 0ustar00runnerrunner"""Bool register elimination optimization. Example input: L1: r0 = f() b = r0 goto L3 L2: r1 = g() b = r1 goto L3 L3: if b goto L4 else goto L5 The register b is redundant and we replace the assignments with two copies of the branch in L3: L1: r0 = f() if r0 goto L4 else goto L5 L2: r1 = g() if r1 goto L4 else goto L5 This helps generate simpler IR for tagged integers comparisons, for example. """ from __future__ import annotations from mypyc.ir.func_ir import FuncIR from mypyc.ir.ops import Assign, BasicBlock, Branch, Goto, Register, Unreachable from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.options import CompilerOptions from mypyc.transform.ir_transform import IRTransform def do_flag_elimination(fn: FuncIR, options: CompilerOptions) -> None: # Find registers that are used exactly once as source, and in a branch. counts: dict[Register, int] = {} branches: dict[Register, Branch] = {} labels: dict[Register, BasicBlock] = {} for block in fn.blocks: for i, op in enumerate(block.ops): for src in op.sources(): if isinstance(src, Register): counts[src] = counts.get(src, 0) + 1 if i == 0 and isinstance(op, Branch) and isinstance(op.value, Register): branches[op.value] = op labels[op.value] = block # Based on these we can find the candidate registers. candidates: set[Register] = { r for r in branches if counts.get(r, 0) == 1 and r not in fn.arg_regs } # Remove candidates with invalid assignments. for block in fn.blocks: for i, op in enumerate(block.ops): if isinstance(op, Assign) and op.dest in candidates: next_op = block.ops[i + 1] if not (isinstance(next_op, Goto) and next_op.label is labels[op.dest]): # Not right candidates.remove(op.dest) builder = LowLevelIRBuilder(None, options) transform = FlagEliminationTransform( builder, {x: y for x, y in branches.items() if x in candidates} ) transform.transform_blocks(fn.blocks) fn.blocks = builder.blocks class FlagEliminationTransform(IRTransform): def __init__(self, builder: LowLevelIRBuilder, branch_map: dict[Register, Branch]) -> None: super().__init__(builder) self.branch_map = branch_map self.branches = set(branch_map.values()) def visit_assign(self, op: Assign) -> None: if old_branch := self.branch_map.get(op.dest): # Replace assignment with a copy of the old branch, which is in a # separate basic block. The old branch will be deleted in visit_branch. new_branch = Branch( op.src, old_branch.true, old_branch.false, old_branch.op, old_branch.line, rare=old_branch.rare, ) new_branch.negated = old_branch.negated new_branch.traceback_entry = old_branch.traceback_entry self.add(new_branch) else: self.add(op) def visit_goto(self, op: Goto) -> None: # This is a no-op if basic block already terminated self.builder.goto(op.label) def visit_branch(self, op: Branch) -> None: if op in self.branches: # This branch is optimized away self.add(Unreachable()) else: self.add(op) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/ir_transform.py0000644000175100017510000002635515112307767020525 0ustar00runnerrunner"""Helpers for implementing generic IR to IR transforms.""" from __future__ import annotations from typing import Final, Optional from mypyc.ir.ops import ( Assign, AssignMulti, BasicBlock, Box, Branch, Call, CallC, Cast, ComparisonOp, DecRef, Extend, FloatComparisonOp, FloatNeg, FloatOp, GetAttr, GetElementPtr, Goto, IncRef, InitStatic, IntOp, KeepAlive, LoadAddress, LoadErrorValue, LoadGlobal, LoadLiteral, LoadMem, LoadStatic, MethodCall, Op, OpVisitor, PrimitiveOp, RaiseStandardError, Return, SetAttr, SetElement, SetMem, Truncate, TupleGet, TupleSet, Unborrow, Unbox, Unreachable, Value, ) from mypyc.irbuild.ll_builder import LowLevelIRBuilder class IRTransform(OpVisitor[Optional[Value]]): """Identity transform. Subclass and override to perform changes to IR. Subclass IRTransform and override any OpVisitor visit_* methods that perform any IR changes. The default implementations implement an identity transform. A visit method can return None to remove ops. In this case the transform must ensure that no op uses the original removed op as a source after the transform. You can retain old BasicBlock and op references in ops. The transform will automatically patch these for you as needed. """ def __init__(self, builder: LowLevelIRBuilder) -> None: self.builder = builder # Subclasses add additional op mappings here. A None value indicates # that the op/register is deleted. self.op_map: dict[Value, Value | None] = {} def transform_blocks(self, blocks: list[BasicBlock]) -> None: """Transform basic blocks that represent a single function. The result of the transform will be collected at self.builder.blocks. """ block_map: dict[BasicBlock, BasicBlock] = {} op_map = self.op_map empties = set() for block in blocks: new_block = BasicBlock() block_map[block] = new_block self.builder.activate_block(new_block) new_block.error_handler = block.error_handler for op in block.ops: new_op = op.accept(self) if new_op is not op: op_map[op] = new_op # A transform can produce empty blocks which can be removed. if is_empty_block(new_block) and not is_empty_block(block): empties.add(new_block) self.builder.blocks = [block for block in self.builder.blocks if block not in empties] # Update all op/block references to point to the transformed ones. patcher = PatchVisitor(op_map, block_map) for block in self.builder.blocks: for op in block.ops: op.accept(patcher) if block.error_handler is not None: block.error_handler = block_map.get(block.error_handler, block.error_handler) def add(self, op: Op) -> Value: return self.builder.add(op) def visit_goto(self, op: Goto) -> None: self.add(op) def visit_branch(self, op: Branch) -> None: self.add(op) def visit_return(self, op: Return) -> None: self.add(op) def visit_unreachable(self, op: Unreachable) -> None: self.add(op) def visit_assign(self, op: Assign) -> Value | None: if op.src in self.op_map and self.op_map[op.src] is None: # Special case: allow removing register initialization assignments return None return self.add(op) def visit_assign_multi(self, op: AssignMulti) -> Value | None: return self.add(op) def visit_load_error_value(self, op: LoadErrorValue) -> Value | None: return self.add(op) def visit_load_literal(self, op: LoadLiteral) -> Value | None: return self.add(op) def visit_get_attr(self, op: GetAttr) -> Value | None: return self.add(op) def visit_set_attr(self, op: SetAttr) -> Value | None: return self.add(op) def visit_load_static(self, op: LoadStatic) -> Value | None: return self.add(op) def visit_init_static(self, op: InitStatic) -> Value | None: return self.add(op) def visit_tuple_get(self, op: TupleGet) -> Value | None: return self.add(op) def visit_tuple_set(self, op: TupleSet) -> Value | None: return self.add(op) def visit_inc_ref(self, op: IncRef) -> Value | None: return self.add(op) def visit_dec_ref(self, op: DecRef) -> Value | None: return self.add(op) def visit_call(self, op: Call) -> Value | None: return self.add(op) def visit_method_call(self, op: MethodCall) -> Value | None: return self.add(op) def visit_cast(self, op: Cast) -> Value | None: return self.add(op) def visit_box(self, op: Box) -> Value | None: return self.add(op) def visit_unbox(self, op: Unbox) -> Value | None: return self.add(op) def visit_raise_standard_error(self, op: RaiseStandardError) -> Value | None: return self.add(op) def visit_call_c(self, op: CallC) -> Value | None: return self.add(op) def visit_primitive_op(self, op: PrimitiveOp) -> Value | None: return self.add(op) def visit_truncate(self, op: Truncate) -> Value | None: return self.add(op) def visit_extend(self, op: Extend) -> Value | None: return self.add(op) def visit_load_global(self, op: LoadGlobal) -> Value | None: return self.add(op) def visit_int_op(self, op: IntOp) -> Value | None: return self.add(op) def visit_comparison_op(self, op: ComparisonOp) -> Value | None: return self.add(op) def visit_float_op(self, op: FloatOp) -> Value | None: return self.add(op) def visit_float_neg(self, op: FloatNeg) -> Value | None: return self.add(op) def visit_float_comparison_op(self, op: FloatComparisonOp) -> Value | None: return self.add(op) def visit_load_mem(self, op: LoadMem) -> Value | None: return self.add(op) def visit_set_mem(self, op: SetMem) -> Value | None: return self.add(op) def visit_get_element_ptr(self, op: GetElementPtr) -> Value | None: return self.add(op) def visit_set_element(self, op: SetElement) -> Value | None: return self.add(op) def visit_load_address(self, op: LoadAddress) -> Value | None: return self.add(op) def visit_keep_alive(self, op: KeepAlive) -> Value | None: return self.add(op) def visit_unborrow(self, op: Unborrow) -> Value | None: return self.add(op) class PatchVisitor(OpVisitor[None]): def __init__( self, op_map: dict[Value, Value | None], block_map: dict[BasicBlock, BasicBlock] ) -> None: self.op_map: Final = op_map self.block_map: Final = block_map def fix_op(self, op: Value) -> Value: new = self.op_map.get(op, op) assert new is not None, "use of removed op" return new def fix_block(self, block: BasicBlock) -> BasicBlock: return self.block_map.get(block, block) def visit_goto(self, op: Goto) -> None: op.label = self.fix_block(op.label) def visit_branch(self, op: Branch) -> None: op.value = self.fix_op(op.value) op.true = self.fix_block(op.true) op.false = self.fix_block(op.false) def visit_return(self, op: Return) -> None: op.value = self.fix_op(op.value) def visit_unreachable(self, op: Unreachable) -> None: pass def visit_assign(self, op: Assign) -> None: op.src = self.fix_op(op.src) def visit_assign_multi(self, op: AssignMulti) -> None: op.src = [self.fix_op(s) for s in op.src] def visit_load_error_value(self, op: LoadErrorValue) -> None: pass def visit_load_literal(self, op: LoadLiteral) -> None: pass def visit_get_attr(self, op: GetAttr) -> None: op.obj = self.fix_op(op.obj) def visit_set_attr(self, op: SetAttr) -> None: op.obj = self.fix_op(op.obj) op.src = self.fix_op(op.src) def visit_load_static(self, op: LoadStatic) -> None: pass def visit_init_static(self, op: InitStatic) -> None: op.value = self.fix_op(op.value) def visit_tuple_get(self, op: TupleGet) -> None: op.src = self.fix_op(op.src) def visit_tuple_set(self, op: TupleSet) -> None: op.items = [self.fix_op(item) for item in op.items] def visit_inc_ref(self, op: IncRef) -> None: op.src = self.fix_op(op.src) def visit_dec_ref(self, op: DecRef) -> None: op.src = self.fix_op(op.src) def visit_call(self, op: Call) -> None: op.args = [self.fix_op(arg) for arg in op.args] def visit_method_call(self, op: MethodCall) -> None: op.obj = self.fix_op(op.obj) op.args = [self.fix_op(arg) for arg in op.args] def visit_cast(self, op: Cast) -> None: op.src = self.fix_op(op.src) def visit_box(self, op: Box) -> None: op.src = self.fix_op(op.src) def visit_unbox(self, op: Unbox) -> None: op.src = self.fix_op(op.src) def visit_raise_standard_error(self, op: RaiseStandardError) -> None: if isinstance(op.value, Value): op.value = self.fix_op(op.value) def visit_call_c(self, op: CallC) -> None: op.args = [self.fix_op(arg) for arg in op.args] def visit_primitive_op(self, op: PrimitiveOp) -> None: op.args = [self.fix_op(arg) for arg in op.args] def visit_truncate(self, op: Truncate) -> None: op.src = self.fix_op(op.src) def visit_extend(self, op: Extend) -> None: op.src = self.fix_op(op.src) def visit_load_global(self, op: LoadGlobal) -> None: pass def visit_int_op(self, op: IntOp) -> None: op.lhs = self.fix_op(op.lhs) op.rhs = self.fix_op(op.rhs) def visit_comparison_op(self, op: ComparisonOp) -> None: op.lhs = self.fix_op(op.lhs) op.rhs = self.fix_op(op.rhs) def visit_float_op(self, op: FloatOp) -> None: op.lhs = self.fix_op(op.lhs) op.rhs = self.fix_op(op.rhs) def visit_float_neg(self, op: FloatNeg) -> None: op.src = self.fix_op(op.src) def visit_float_comparison_op(self, op: FloatComparisonOp) -> None: op.lhs = self.fix_op(op.lhs) op.rhs = self.fix_op(op.rhs) def visit_load_mem(self, op: LoadMem) -> None: op.src = self.fix_op(op.src) def visit_set_mem(self, op: SetMem) -> None: op.dest = self.fix_op(op.dest) op.src = self.fix_op(op.src) def visit_get_element_ptr(self, op: GetElementPtr) -> None: op.src = self.fix_op(op.src) def visit_set_element(self, op: SetElement) -> None: op.src = self.fix_op(op.src) def visit_load_address(self, op: LoadAddress) -> None: if isinstance(op.src, LoadStatic): new = self.fix_op(op.src) assert isinstance(new, LoadStatic), new op.src = new def visit_keep_alive(self, op: KeepAlive) -> None: op.src = [self.fix_op(s) for s in op.src] def visit_unborrow(self, op: Unborrow) -> None: op.src = self.fix_op(op.src) def is_empty_block(block: BasicBlock) -> bool: return len(block.ops) == 1 and isinstance(block.ops[0], Unreachable) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/log_trace.py0000644000175100017510000001237615112307767017755 0ustar00runnerrunner"""This optional pass adds logging of various executed operations. Some subset of the executed operations are logged to the mypyc_trace.txt file. This is useful for performance analysis. For example, it's possible to identify how frequently various primitive functions are called, and in which code locations they are called. """ from __future__ import annotations from typing import Final from mypyc.ir.func_ir import FuncIR from mypyc.ir.ops import ( Box, Call, CallC, Cast, CString, DecRef, GetAttr, IncRef, LoadLiteral, LoadStatic, Op, PrimitiveOp, SetAttr, Unbox, Value, ) from mypyc.ir.rtypes import none_rprimitive from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.options import CompilerOptions from mypyc.primitives.misc_ops import log_trace_event from mypyc.transform.ir_transform import IRTransform def insert_event_trace_logging(fn: FuncIR, options: CompilerOptions) -> None: builder = LowLevelIRBuilder(None, options) transform = LogTraceEventTransform(builder, fn.decl.fullname) transform.transform_blocks(fn.blocks) fn.blocks = builder.blocks def get_load_global_name(op: CallC) -> str | None: name = op.function_name if name == "CPyDict_GetItem": arg = op.args[0] if ( isinstance(arg, LoadStatic) and arg.namespace == "static" and arg.identifier == "globals" and isinstance(op.args[1], LoadLiteral) ): return str(op.args[1].value) return None # These primitives perform an implicit IncRef for the return value. Only some of the most common ones # are included, and mostly ops that could be switched to use borrowing in some contexts. primitives_that_inc_ref: Final = { "list_get_item_unsafe", "CPyList_GetItemShort", "CPyDict_GetWithNone", "CPyList_GetItem", "CPyDict_GetItem", "CPyList_PopLast", } class LogTraceEventTransform(IRTransform): def __init__(self, builder: LowLevelIRBuilder, fullname: str) -> None: super().__init__(builder) self.fullname = fullname.encode("utf-8") def visit_call(self, op: Call) -> Value: # TODO: Use different op name when constructing an instance return self.log(op, "call", op.fn.fullname) def visit_primitive_op(self, op: PrimitiveOp) -> Value: value = self.log(op, "primitive_op", op.desc.name) if op.desc.name in primitives_that_inc_ref: self.log_inc_ref(value) return value def visit_call_c(self, op: CallC) -> Value: if global_name := get_load_global_name(op): return self.log(op, "globals_dict_get_item", global_name) func_name = op.function_name if func_name == "PyObject_Vectorcall" and isinstance(op.args[0], CallC): if global_name := get_load_global_name(op.args[0]): return self.log(op, "python_call_global", global_name) elif func_name == "CPyObject_GetAttr" and isinstance(op.args[1], LoadLiteral): return self.log(op, "python_get_attr", str(op.args[1].value)) elif func_name == "PyObject_VectorcallMethod" and isinstance(op.args[0], LoadLiteral): return self.log(op, "python_call_method", str(op.args[0].value)) value = self.log(op, "call_c", func_name) if func_name in primitives_that_inc_ref: self.log_inc_ref(value) return value def visit_get_attr(self, op: GetAttr) -> Value: value = self.log(op, "get_attr", f"{op.class_type.name}.{op.attr}") if not op.is_borrowed and op.type.is_refcounted: self.log_inc_ref(op) return value def visit_set_attr(self, op: SetAttr) -> Value: name = "set_attr" if not op.is_init else "set_attr_init" return self.log(op, name, f"{op.class_type.name}.{op.attr}") def visit_box(self, op: Box) -> Value: if op.src.type is none_rprimitive: # Boxing 'None' is a very quick operation, so we don't log it. return self.add(op) else: return self.log(op, "box", str(op.src.type)) def visit_unbox(self, op: Unbox) -> Value: return self.log(op, "unbox", str(op.type)) def visit_cast(self, op: Cast) -> Value | None: value = self.log(op, "cast", str(op.type)) if not op.is_borrowed: self.log_inc_ref(value) return value def visit_inc_ref(self, op: IncRef) -> Value: return self.log(op, "inc_ref", str(op.src.type)) def visit_dec_ref(self, op: DecRef) -> Value: return self.log(op, "dec_ref", str(op.src.type)) def log_inc_ref(self, value: Value) -> None: self.log_event("inc_ref", str(value.type), value.line) def log(self, op: Op, name: str, details: str) -> Value: self.log_event(name, details, op.line) return self.add(op) def log_event(self, name: str, details: str, line: int) -> None: if line >= 0: line_str = str(line) else: line_str = "" self.builder.primitive_op( log_trace_event, [ CString(self.fullname), CString(line_str.encode("ascii")), CString(name.encode("utf-8")), CString(details.encode("utf-8")), ], line, ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/lower.py0000644000175100017510000000250015112307767017132 0ustar00runnerrunner"""Transform IR to lower-level ops. Higher-level ops are used in earlier compiler passes, as they make various analyses, optimizations and transforms easier to implement. Later passes use lower-level ops, as they are easier to generate code from, and they help with lower-level optimizations. Lowering of various primitive ops is implemented in the mypyc.lower package. """ from __future__ import annotations from mypyc.ir.func_ir import FuncIR from mypyc.ir.ops import PrimitiveOp, Value from mypyc.irbuild.ll_builder import LowLevelIRBuilder from mypyc.lower.registry import lowering_registry from mypyc.options import CompilerOptions from mypyc.transform.ir_transform import IRTransform def lower_ir(ir: FuncIR, options: CompilerOptions) -> None: builder = LowLevelIRBuilder(None, options) visitor = LoweringVisitor(builder) visitor.transform_blocks(ir.blocks) ir.blocks = builder.blocks class LoweringVisitor(IRTransform): def visit_primitive_op(self, op: PrimitiveOp) -> Value | None: # The lowering implementation functions of various primitive ops are stored # in a registry, which is populated using function decorators. The name # of op (such as "int_eq") is used as the key. lower_fn = lowering_registry[op.desc.name] return lower_fn(self.builder, op.args, op.line) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/refcount.py0000644000175100017510000002357515112307767017646 0ustar00runnerrunner"""Transformation for inserting refrecence count inc/dec opcodes. This transformation happens towards the end of compilation. Before this transformation, reference count management is not explicitly handled at all. By postponing this pass, the previous passes are simpler as they don't have to update reference count opcodes. The approach is to decrement reference counts soon after a value is no longer live, to quickly free memory (and call __del__ methods), though there are no strict guarantees -- other than that local variables are freed before return from a function. Function arguments are a little special. They are initially considered 'borrowed' from the caller and their reference counts don't need to be decremented before returning. An assignment to a borrowed value turns it into a regular, owned reference that needs to freed before return. """ from __future__ import annotations from collections.abc import Iterable from mypyc.analysis.dataflow import ( AnalysisDict, analyze_borrowed_arguments, analyze_live_regs, analyze_must_defined_regs, cleanup_cfg, get_cfg, ) from mypyc.ir.func_ir import FuncIR, all_values from mypyc.ir.ops import ( Assign, BasicBlock, Branch, CallC, ControlOp, DecRef, Goto, IncRef, Integer, KeepAlive, LoadAddress, Op, Register, RegisterOp, Undef, Value, ) Decs = tuple[tuple[Value, bool], ...] Incs = tuple[Value, ...] # A cache of basic blocks that decrement and increment specific values # and then jump to some target block. This lets us cut down on how # much code we generate in some circumstances. BlockCache = dict[tuple[BasicBlock, Decs, Incs], BasicBlock] def insert_ref_count_opcodes(ir: FuncIR) -> None: """Insert reference count inc/dec opcodes to a function. This is the entry point to this module. """ cfg = get_cfg(ir.blocks) values = all_values(ir.arg_regs, ir.blocks) borrowed = {value for value in values if value.is_borrowed} args: set[Value] = set(ir.arg_regs) live = analyze_live_regs(ir.blocks, cfg) borrow = analyze_borrowed_arguments(ir.blocks, cfg, borrowed) defined = analyze_must_defined_regs(ir.blocks, cfg, args, values, strict_errors=True) ordering = make_value_ordering(ir) cache: BlockCache = {} for block in ir.blocks.copy(): if isinstance(block.ops[-1], (Branch, Goto)): insert_branch_inc_and_decrefs( block, cache, ir.blocks, live.before, borrow.before, borrow.after, defined.after, ordering, ) transform_block(block, live.before, live.after, borrow.before, defined.after) cleanup_cfg(ir.blocks) def is_maybe_undefined(post_must_defined: set[Value], src: Value) -> bool: return (isinstance(src, Register) and src not in post_must_defined) or ( isinstance(src, CallC) and src.returns_null ) def maybe_append_dec_ref( ops: list[Op], dest: Value, defined: AnalysisDict[Value], key: tuple[BasicBlock, int] ) -> None: if dest.type.is_refcounted and not isinstance(dest, (Integer, Undef)): ops.append(DecRef(dest, is_xdec=is_maybe_undefined(defined[key], dest))) def maybe_append_inc_ref(ops: list[Op], dest: Value) -> None: if dest.type.is_refcounted: ops.append(IncRef(dest)) def transform_block( block: BasicBlock, pre_live: AnalysisDict[Value], post_live: AnalysisDict[Value], pre_borrow: AnalysisDict[Value], post_must_defined: AnalysisDict[Value], ) -> None: old_ops = block.ops ops: list[Op] = [] for i, op in enumerate(old_ops): key = (block, i) assert op not in pre_live[key] dest = op.dest if isinstance(op, Assign) else op stolen = op.stolen() # Incref any references that are being stolen that stay live, were borrowed, # or are stolen more than once by this operation. for j, src in enumerate(stolen): if src in post_live[key] or src in pre_borrow[key] or src in stolen[:j]: maybe_append_inc_ref(ops, src) # For assignments to registers that were already live, # decref the old value. if dest not in pre_borrow[key] and dest in pre_live[key]: assert isinstance(op, Assign), op maybe_append_dec_ref(ops, dest, post_must_defined, key) # Strip KeepAlive. Its only purpose is to help with this transform. if not isinstance(op, KeepAlive): ops.append(op) # Control ops don't have any space to insert ops after them, so # their inc/decrefs get inserted by insert_branch_inc_and_decrefs. if isinstance(op, ControlOp): continue for src in op.unique_sources(): # Decrement source that won't be live afterwards. if src not in post_live[key] and src not in pre_borrow[key] and src not in stolen: maybe_append_dec_ref(ops, src, post_must_defined, key) # Decrement the destination if it is dead after the op and # wasn't a borrowed RegisterOp if ( not dest.is_void and dest not in post_live[key] and not (isinstance(op, RegisterOp) and dest.is_borrowed) ): maybe_append_dec_ref(ops, dest, post_must_defined, key) block.ops = ops def insert_branch_inc_and_decrefs( block: BasicBlock, cache: BlockCache, blocks: list[BasicBlock], pre_live: AnalysisDict[Value], pre_borrow: AnalysisDict[Value], post_borrow: AnalysisDict[Value], post_must_defined: AnalysisDict[Value], ordering: dict[Value, int], ) -> None: """Insert inc_refs and/or dec_refs after a branch/goto. Add dec_refs for registers that become dead after a branch. Add inc_refs for registers that become unborrowed after a branch or goto. Branches are special as the true and false targets may have a different live and borrowed register sets. Add new blocks before the true/false target blocks that tweak reference counts. Example where we need to add an inc_ref: def f(a: int) -> None if a: a = 1 return a # a is borrowed if condition is false and unborrowed if true """ prev_key = (block, len(block.ops) - 1) source_live_regs = pre_live[prev_key] source_borrowed = post_borrow[prev_key] source_defined = post_must_defined[prev_key] term = block.terminator for i, target in enumerate(term.targets()): # HAX: After we've checked against an error value the value we must not touch the # refcount since it will be a null pointer. The correct way to do this would be # to perform data flow analysis on whether a value can be null (or is always # null). omitted: Iterable[Value] if isinstance(term, Branch) and term.op == Branch.IS_ERROR and i == 0: omitted = (term.value,) else: omitted = () decs = after_branch_decrefs( target, pre_live, source_defined, source_borrowed, source_live_regs, ordering, omitted ) incs = after_branch_increfs(target, pre_live, pre_borrow, source_borrowed, ordering) term.set_target(i, add_block(decs, incs, cache, blocks, target)) def after_branch_decrefs( label: BasicBlock, pre_live: AnalysisDict[Value], source_defined: set[Value], source_borrowed: set[Value], source_live_regs: set[Value], ordering: dict[Value, int], omitted: Iterable[Value], ) -> tuple[tuple[Value, bool], ...]: target_pre_live = pre_live[label, 0] decref = source_live_regs - target_pre_live - source_borrowed if decref: return tuple( (reg, is_maybe_undefined(source_defined, reg)) for reg in sorted(decref, key=lambda r: ordering[r]) if reg.type.is_refcounted and reg not in omitted ) return () def after_branch_increfs( label: BasicBlock, pre_live: AnalysisDict[Value], pre_borrow: AnalysisDict[Value], source_borrowed: set[Value], ordering: dict[Value, int], ) -> tuple[Value, ...]: target_pre_live = pre_live[label, 0] target_borrowed = pre_borrow[label, 0] incref = (source_borrowed - target_borrowed) & target_pre_live if incref: return tuple( reg for reg in sorted(incref, key=lambda r: ordering[r]) if reg.type.is_refcounted ) return () def add_block( decs: Decs, incs: Incs, cache: BlockCache, blocks: list[BasicBlock], label: BasicBlock ) -> BasicBlock: if not decs and not incs: return label # TODO: be able to share *partial* results if (label, decs, incs) in cache: return cache[label, decs, incs] block = BasicBlock() blocks.append(block) block.ops.extend(DecRef(reg, is_xdec=xdec) for reg, xdec in decs) block.ops.extend(IncRef(reg) for reg in incs) block.ops.append(Goto(label)) cache[label, decs, incs] = block return block def make_value_ordering(ir: FuncIR) -> dict[Value, int]: """Create a ordering of values that allows them to be sorted. This omits registers that are only ever read. """ # TODO: Never initialized values?? result: dict[Value, int] = {} n = 0 for arg in ir.arg_regs: result[arg] = n n += 1 for block in ir.blocks: for op in block.ops: if ( isinstance(op, LoadAddress) and isinstance(op.src, Register) and op.src not in result ): # Taking the address of a register allows initialization. result[op.src] = n n += 1 if isinstance(op, Assign): if op.dest not in result: result[op.dest] = n n += 1 elif op not in result: result[op] = n n += 1 return result ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/spill.py0000644000175100017510000001013115112307767017124 0ustar00runnerrunner"""Insert spills for values that are live across yields.""" from __future__ import annotations from mypyc.analysis.dataflow import AnalysisResult, analyze_live_regs, get_cfg from mypyc.common import TEMP_ATTR_NAME from mypyc.ir.class_ir import ClassIR from mypyc.ir.func_ir import FuncIR from mypyc.ir.ops import ( BasicBlock, Branch, DecRef, GetAttr, IncRef, LoadErrorValue, Register, SetAttr, Value, ) def insert_spills(ir: FuncIR, env: ClassIR) -> None: cfg = get_cfg(ir.blocks, use_yields=True) live = analyze_live_regs(ir.blocks, cfg) entry_live = live.before[ir.blocks[0], 0] entry_live = {op for op in entry_live if not (isinstance(op, Register) and op.is_arg)} # TODO: Actually for now, no Registers at all -- we keep the manual spills entry_live = {op for op in entry_live if not isinstance(op, Register)} ir.blocks = spill_regs(ir.blocks, env, entry_live, live, ir.arg_regs[0]) def spill_regs( blocks: list[BasicBlock], env: ClassIR, to_spill: set[Value], live: AnalysisResult[Value], self_reg: Register, ) -> list[BasicBlock]: env_reg: Value for op in blocks[0].ops: if isinstance(op, GetAttr) and op.attr == "__mypyc_env__": env_reg = op break else: # Environment has been merged into generator object env_reg = self_reg spill_locs = {} for i, val in enumerate(to_spill): name = f"{TEMP_ATTR_NAME}2_{i}" env.attributes[name] = val.type if val.type.error_overlap: # We can safely treat as always initialized, since the type has no pointers. # This way we also don't need to manage the defined attribute bitfield. env._always_initialized_attrs.add(name) spill_locs[val] = name for block in blocks: ops = block.ops block.ops = [] for i, op in enumerate(ops): to_decref = [] if isinstance(op, IncRef) and op.src in spill_locs: raise AssertionError("not sure what to do with an incref of a spill...") if isinstance(op, DecRef) and op.src in spill_locs: # When we decref a spilled value, we turn that into # NULLing out the attribute, but only if the spilled # value is not live *when we include yields in the # CFG*. (The original decrefs are computed without that.) # # We also skip a decref is the env register is not # live. That should only happen when an exception is # being raised, so everything should be handled there. if op.src not in live.after[block, i] and env_reg in live.after[block, i]: # Skip the DecRef but null out the spilled location null = LoadErrorValue(op.src.type) block.ops.extend([null, SetAttr(env_reg, spill_locs[op.src], null, op.line)]) continue if ( any(src in spill_locs for src in op.sources()) # N.B: IS_ERROR should be before a spill happens # XXX: but could we have a regular branch? and not (isinstance(op, Branch) and op.op == Branch.IS_ERROR) ): new_sources: list[Value] = [] stolen = op.stolen() for src in op.sources(): if src in spill_locs: read = GetAttr(env_reg, spill_locs[src], op.line) block.ops.append(read) new_sources.append(read) if src.type.is_refcounted and src not in stolen: to_decref.append(read) else: new_sources.append(src) op.set_sources(new_sources) block.ops.append(op) for dec in to_decref: block.ops.append(DecRef(dec)) if op in spill_locs: # XXX: could we set uninit? block.ops.append(SetAttr(env_reg, spill_locs[op], op, op.line)) return blocks ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/mypyc/transform/uninit.py0000644000175100017510000001553615112307767017325 0ustar00runnerrunner"""Insert checks for uninitialized values.""" from __future__ import annotations from mypyc.analysis.dataflow import AnalysisDict, analyze_must_defined_regs, cleanup_cfg, get_cfg from mypyc.common import BITMAP_BITS from mypyc.ir.func_ir import FuncIR, all_values from mypyc.ir.ops import ( Assign, BasicBlock, Branch, ComparisonOp, Integer, IntOp, LoadAddress, LoadErrorValue, Op, RaiseStandardError, Register, Unreachable, Value, ) from mypyc.ir.rtypes import bitmap_rprimitive def insert_uninit_checks(ir: FuncIR) -> None: # Remove dead blocks from the CFG, which helps avoid spurious # checks due to unused error handling blocks. cleanup_cfg(ir.blocks) cfg = get_cfg(ir.blocks) must_defined = analyze_must_defined_regs( ir.blocks, cfg, set(ir.arg_regs), all_values(ir.arg_regs, ir.blocks) ) ir.blocks = split_blocks_at_uninits(ir.blocks, must_defined.before) def split_blocks_at_uninits( blocks: list[BasicBlock], pre_must_defined: AnalysisDict[Value] ) -> list[BasicBlock]: new_blocks: list[BasicBlock] = [] init_registers = [] init_registers_set = set() bitmap_registers: list[Register] = [] # Init status bitmaps bitmap_backed: list[Register] = [] # These use bitmaps to track init status # First split blocks on ops that may raise. for block in blocks: ops = block.ops block.ops = [] cur_block = block new_blocks.append(cur_block) for i, op in enumerate(ops): defined = pre_must_defined[block, i] for src in op.unique_sources(): # If a register operand is not guaranteed to be # initialized is an operand to something other than a # check that it is defined, insert a check. # Note that for register operand in a LoadAddress op, # we should be able to use it without initialization # as we may need to use its address to update itself if ( isinstance(src, Register) and src not in defined and not (isinstance(op, Branch) and op.op == Branch.IS_ERROR) and not isinstance(op, LoadAddress) ): if src not in init_registers_set: init_registers.append(src) init_registers_set.add(src) # XXX: if src.name is empty, it should be a # temp... and it should be OK?? if not src.name: continue new_block, error_block = BasicBlock(), BasicBlock() new_block.error_handler = error_block.error_handler = cur_block.error_handler new_blocks += [error_block, new_block] if not src.type.error_overlap: cur_block.ops.append( Branch( src, true_label=error_block, false_label=new_block, op=Branch.IS_ERROR, line=op.line, ) ) else: # We need to use bitmap for this one. check_for_uninit_using_bitmap( cur_block.ops, src, bitmap_registers, bitmap_backed, error_block, new_block, op.line, ) raise_std = RaiseStandardError( RaiseStandardError.UNBOUND_LOCAL_ERROR, f'local variable "{src.name}" referenced before assignment', op.line, ) error_block.ops.append(raise_std) error_block.ops.append(Unreachable()) cur_block = new_block cur_block.ops.append(op) if bitmap_backed: update_register_assignments_to_set_bitmap(new_blocks, bitmap_registers, bitmap_backed) if init_registers: new_ops: list[Op] = [] for reg in init_registers: err = LoadErrorValue(reg.type, undefines=True) new_ops.append(err) new_ops.append(Assign(reg, err)) for reg in bitmap_registers: new_ops.append(Assign(reg, Integer(0, bitmap_rprimitive))) new_blocks[0].ops[0:0] = new_ops return new_blocks def check_for_uninit_using_bitmap( ops: list[Op], src: Register, bitmap_registers: list[Register], bitmap_backed: list[Register], error_block: BasicBlock, ok_block: BasicBlock, line: int, ) -> None: """Check if src is defined using a bitmap. Modifies ops, bitmap_registers and bitmap_backed. """ if src not in bitmap_backed: # Set up a new bitmap backed register. bitmap_backed.append(src) n = (len(bitmap_backed) - 1) // BITMAP_BITS if len(bitmap_registers) <= n: bitmap_registers.append(Register(bitmap_rprimitive, f"__locals_bitmap{n}")) index = bitmap_backed.index(src) masked = IntOp( bitmap_rprimitive, bitmap_registers[index // BITMAP_BITS], Integer(1 << (index & (BITMAP_BITS - 1)), bitmap_rprimitive), IntOp.AND, line, ) ops.append(masked) chk = ComparisonOp(masked, Integer(0, bitmap_rprimitive), ComparisonOp.EQ) ops.append(chk) ops.append(Branch(chk, error_block, ok_block, Branch.BOOL)) def update_register_assignments_to_set_bitmap( blocks: list[BasicBlock], bitmap_registers: list[Register], bitmap_backed: list[Register] ) -> None: """Update some assignments to registers to also set a bit in a bitmap. The bitmaps are used to track if a local variable has been assigned to. Modifies blocks. """ for block in blocks: if any(isinstance(op, Assign) and op.dest in bitmap_backed for op in block.ops): new_ops: list[Op] = [] for op in block.ops: if isinstance(op, Assign) and op.dest in bitmap_backed: index = bitmap_backed.index(op.dest) new_ops.append(op) reg = bitmap_registers[index // BITMAP_BITS] new = IntOp( bitmap_rprimitive, reg, Integer(1 << (index & (BITMAP_BITS - 1)), bitmap_rprimitive), IntOp.OR, op.line, ) new_ops.append(new) new_ops.append(Assign(reg, new)) else: new_ops.append(op) block.ops = new_ops ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/pyproject.toml0000644000175100017510000001712115112307767015175 0ustar00runnerrunner[build-system] requires = [ # NOTE: this needs to be kept in sync with mypy-requirements.txt # and build-requirements.txt, because those are both needed for # self-typechecking :/ "setuptools >= 75.1.0", # the following is from mypy-requirements.txt/setup.py "typing_extensions>=4.6.0", "mypy_extensions>=1.0.0", "pathspec>=0.9.0", "tomli>=1.1.0; python_version<'3.11'", "librt>=0.6.2", # the following is from build-requirements.txt "types-psutil", "types-setuptools", ] build-backend = "setuptools.build_meta" [project] name = "mypy" description = "Optional static typing for Python" readme = {text = """ Mypy -- Optional Static Typing for Python ========================================= Add type annotations to your Python programs, and use mypy to type check them. Mypy is essentially a Python linter on steroids, and it can catch many programming errors by analyzing your program, without actually having to run it. Mypy has a powerful type system with features such as type inference, gradual typing, generics and union types. """, content-type = "text/x-rst"} authors = [{name = "Jukka Lehtosalo", email = "jukka.lehtosalo@iki.fi"}] license = {text = "MIT"} classifiers = [ "Development Status :: 5 - Production/Stable", "Environment :: Console", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Topic :: Software Development", "Typing :: Typed", ] requires-python = ">=3.9" dependencies = [ # When changing this, also update build-system.requires and mypy-requirements.txt "typing_extensions>=4.6.0", "mypy_extensions>=1.0.0", "pathspec>=0.9.0", "tomli>=1.1.0; python_version<'3.11'", "librt>=0.6.2", ] dynamic = ["version"] [project.optional-dependencies] dmypy = ["psutil>=4.0"] mypyc = ["setuptools>=50"] python2 = [] reports = ["lxml"] install-types = ["pip"] faster-cache = ["orjson"] [project.urls] Homepage = "https://www.mypy-lang.org/" Documentation = "https://mypy.readthedocs.io/en/stable/index.html" Repository = "https://github.com/python/mypy" Changelog = "https://github.com/python/mypy/blob/master/CHANGELOG.md" Issues = "https://github.com/python/mypy/issues" [project.scripts] mypy = "mypy.__main__:console_entry" stubgen = "mypy.stubgen:main" stubtest = "mypy.stubtest:main" dmypy = "mypy.dmypy.client:console_entry" mypyc = "mypyc.__main__:main" [tool.setuptools.packages.find] include = ["mypy*", "mypyc*", "*__mypyc*"] exclude = ["mypyc.test-data*"] namespaces = false [tool.setuptools.package-data] mypy = [ "py.typed", "typeshed/**/*.py", "typeshed/**/*.pyi", "typeshed/stdlib/VERSIONS", "xml/*.xsd", "xml/*.xslt", "xml/*.css", ] [tool.setuptools.exclude-package-data] mypyc = [ "README.md", "doc/**", "external/**", "lib-rt/test_capi.cc", "lib-rt/setup.py", "test-data/**", ] [tool.black] line-length = 99 target-version = ["py39", "py310", "py311", "py312", "py313", "py314"] skip-magic-trailing-comma = true force-exclude = ''' ^/mypy/typeshed| ^/mypyc/test-data| ^/test-data ''' [tool.ruff] line-length = 99 target-version = "py39" fix = true extend-exclude = [ "@*", # Sphinx configuration is irrelevant "docs/source/conf.py", "mypyc/doc/conf.py", # tests have more relaxed styling requirements # fixtures have their own .pyi-specific configuration "test-data/*", "mypyc/test-data/*", # typeshed has its own .pyi-specific configuration "mypy/typeshed/*", ] [tool.ruff.lint] select = [ "E", # pycodestyle (error) "F", # pyflakes "W", # pycodestyle (warning) "B", # flake8-bugbear "I", # isort "N", # pep8-naming "PIE", # flake8-pie "PLE", # pylint error "RUF100", # Unused noqa comments "PGH004", # blanket noqa comments "UP", # pyupgrade "C4", # flake8-comprehensions "SIM101", # merge duplicate isinstance calls "SIM201", "SIM202", "SIM222", "SIM223", # flake8-simplify "FURB168", # Prefer is operator over isinstance for None checks "FURB169", # Do not use is comparison with type(None). Use None "FURB187", # avoid list reverse copy "FURB188", # use str.remove(pre|suf)fix "ISC001", # implicitly concatenated string "RET501", "RET502", # better return None handling ] ignore = [ "B007", # Loop control variable not used within the loop body. "B011", # Don't use assert False "B023", # Function definition does not bind loop variable "E2", # conflicts with black "E402", # module level import not at top of file "E501", # conflicts with black "E721", # Use `is` and `is not` for type comparisons, or `isinstance()` for isinstance checks "E731", # Do not assign a `lambda` expression, use a `def` "E741", # Ambiguous variable name "N818", # Exception should be named with an Error suffix "N806", # UPPER_CASE used for constant local variables "UP031", # Use format specifiers instead of percent format "UP032", # 'f-string always preferable to format' is controversial "C409", # https://github.com/astral-sh/ruff/issues/12912 "C420", # reads a little worse. fromkeys predates dict comprehensions "C416", # There are a few cases where it's nice to have names for the dict items "PIE790", # there's nothing wrong with pass ] unfixable = [ "F841", # unused variable. ruff keeps the call, but mostly we want to get rid of it all "F601", # automatic fix might obscure issue "F602", # automatic fix might obscure issue "B018", # automatic fix might obscure issue "UP036", # sometimes it's better to just noqa this "SIM222", # automatic fix might obscure issue "SIM223", # automatic fix might obscure issue ] [tool.ruff.lint.per-file-ignores] # Mixed case variable and function names. "mypy/fastparse.py" = ["N802", "N816"] [tool.ruff.lint.isort] combine-as-imports = true extra-standard-library = ["typing_extensions"] [tool.check-manifest] ignore = ["**/.readthedocs.yaml"] [tool.pytest.ini_options] minversion = "7.0.0" testpaths = ["mypy/test", "mypyc/test"] python_files = 'test*.py' # Where do the test cases come from? We provide our own collection # logic by implementing `pytest_pycollect_makeitem` in mypy.test.data; # the test files import that module, and pytest sees the magic name # and invokes it at the relevant moment. See # https://doc.pytest.org/en/latest/how-to/writing_plugins.html#collection-hooks # Both our plugin and unittest provide their own collection logic, # So we can disable the default python collector by giving it empty # patterns to search for. # Note that unittest requires that no "Test*" classes exist. python_classes = [] python_functions = [] # always run in parallel (requires pytest-xdist, see test-requirements.txt) # and enable strict mode: require all markers # to be defined and raise on invalid config values addopts = "-nauto --strict-markers --strict-config" # treat xpasses as test failures so they get converted to regular tests as soon as possible xfail_strict = true # Force warnings as errors filterwarnings = [ "error", ] [tool.coverage.run] branch = true source = ["mypy"] parallel = true [tool.coverage.report] show_missing = true skip_covered = true omit = ['mypy/test/*'] exclude_lines = [ '\#\s*pragma: no cover', '^\s*raise AssertionError\b', '^\s*raise NotImplementedError\b', '^\s*return NotImplemented\b', '^\s*raise$', '^assert False\b', '''^if __name__ == ['"]__main__['"]:$''', ] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/runtests.py0000755000175100017510000001253715112307767014533 0ustar00runnerrunner#!/usr/bin/env python3 from __future__ import annotations import subprocess from subprocess import Popen from sys import argv, executable, exit # Slow test suites CMDLINE = "PythonCmdline" PEP561 = "PEP561Suite" EVALUATION = "PythonEvaluation" DAEMON = "testdaemon" STUBGEN_CMD = "StubgenCmdLine" STUBGEN_PY = "StubgenPythonSuite" MYPYC_RUN = "TestRun" MYPYC_RUN_MULTI = "TestRunMultiFile" MYPYC_EXTERNAL = "TestExternal" MYPYC_COMMAND_LINE = "TestCommandLine" MYPYC_SEPARATE = "TestRunSeparate" MYPYC_MULTIMODULE = "multimodule" # Subset of mypyc run tests that are slow ERROR_STREAM = "ErrorStreamSuite" ALL_NON_FAST = [ CMDLINE, PEP561, EVALUATION, DAEMON, STUBGEN_CMD, STUBGEN_PY, MYPYC_RUN, MYPYC_RUN_MULTI, MYPYC_EXTERNAL, MYPYC_COMMAND_LINE, MYPYC_SEPARATE, ERROR_STREAM, ] # This must be enabled by explicitly including 'pytest-extra' on the command line PYTEST_OPT_IN = [PEP561] # These must be enabled by explicitly including 'mypyc-extra' on the command line. MYPYC_OPT_IN = [MYPYC_RUN, MYPYC_RUN_MULTI, MYPYC_SEPARATE] # These mypyc test filters cover most slow test cases MYPYC_SLOW = [MYPYC_RUN_MULTI, MYPYC_COMMAND_LINE, MYPYC_SEPARATE, MYPYC_MULTIMODULE] # We split the pytest run into three parts to improve test # parallelization. Each run should have tests that each take a roughly similar # time to run. cmds = { # Self type check "self": [ executable, "-m", "mypy", "--config-file", "mypy_self_check.ini", "-p", "mypy", "-p", "mypyc", ], # Type check setup.py as well "self-packaging": [ executable, "-m", "mypy", "--config-file", "mypy_self_check.ini", "setup.py", ], # Lint "lint": ["pre-commit", "run", "--all-files"], # Fast test cases only (this is the bulk of the test suite) "pytest-fast": ["pytest", "-q", "-k", f"not ({' or '.join(ALL_NON_FAST)})"], # Test cases that invoke mypy (with small inputs) "pytest-cmdline": [ "pytest", "-q", "-k", " or ".join([CMDLINE, EVALUATION, STUBGEN_CMD, STUBGEN_PY]), ], # Test cases that may take seconds to run each "pytest-slow": [ "pytest", "-q", "-k", " or ".join([DAEMON, MYPYC_EXTERNAL, MYPYC_COMMAND_LINE, ERROR_STREAM]), ], "mypyc-fast": ["pytest", "-q", "mypyc", "-k", f"not ({' or '.join(MYPYC_SLOW)})"], # Test cases that might take minutes to run "pytest-extra": ["pytest", "-q", "-k", " or ".join(PYTEST_OPT_IN)], # Mypyc tests that aren't run by default, since they are slow and rarely # fail for commits that don't touch mypyc "mypyc-extra": ["pytest", "-q", "-k", " or ".join(MYPYC_OPT_IN)], } # Stop run immediately if these commands fail FAST_FAIL = ["self", "lint"] EXTRA_COMMANDS = ("pytest-extra", "mypyc-fast", "mypyc-extra") DEFAULT_COMMANDS = [cmd for cmd in cmds if cmd not in EXTRA_COMMANDS] assert all(cmd in cmds for cmd in FAST_FAIL) def run_cmd(name: str) -> int: status = 0 if name in cmds: cmd = cmds[name] else: if name.endswith(".test"): cmd = ["pytest", f"mypy/test/testcheck.py::TypeCheckSuite::{name}"] else: cmd = ["pytest", "-n0", "-k", name] print(f"run {name}: {cmd}") proc = subprocess.run(cmd, stderr=subprocess.STDOUT) if proc.returncode: print("\nFAILED: %s" % name) status = proc.returncode if name in FAST_FAIL: exit(status) return status def start_background_cmd(name: str) -> Popen: cmd = cmds[name] proc = subprocess.Popen(cmd, stderr=subprocess.STDOUT, stdout=subprocess.PIPE) return proc def wait_background_cmd(name: str, proc: Popen) -> int: output = proc.communicate()[0] status = proc.returncode print(f"run {name}: {cmds[name]}") if status: print(output.decode().rstrip()) print("\nFAILED:", name) if name in FAST_FAIL: exit(status) return status def main() -> None: prog, *args = argv if not set(args).issubset(cmds): print( "usage:", prog, " ".join(f"[{k}]" for k in cmds), "[names of individual tests and files...]", ) print() print( "Run the given tests. If given no arguments, run everything except" + " pytest-extra and mypyc-extra. Unrecognized arguments will be" + " interpreted as individual test names / substring expressions" + " (or, if they end in .test, individual test files)" + " and this script will try to run them." ) if "-h" in args or "--help" in args: exit(1) if not args: args = DEFAULT_COMMANDS.copy() status = 0 if "self" in args and "lint" in args: # Perform lint and self check in parallel as it's faster. proc = start_background_cmd("lint") cmd_status = run_cmd("self") if cmd_status: status = cmd_status cmd_status = wait_background_cmd("lint", proc) if cmd_status: status = cmd_status args = [arg for arg in args if arg not in ("self", "lint")] for arg in args: cmd_status = run_cmd(arg) if cmd_status: status = cmd_status exit(status) if __name__ == "__main__": main() ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7557669 mypy-1.19.0/setup.cfg0000644000175100017510000000004615112310012014051 0ustar00runnerrunner[egg_info] tag_build = tag_date = 0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/setup.py0000644000175100017510000001343315112307767013775 0ustar00runnerrunner#!/usr/bin/env python from __future__ import annotations import glob import os import os.path import sys from typing import TYPE_CHECKING, Any if sys.version_info < (3, 9, 0): # noqa: UP036, RUF100 sys.stderr.write("ERROR: You need Python 3.9 or later to use mypy.\n") exit(1) # we'll import stuff from the source tree, let's ensure is on the sys path sys.path.insert(0, os.path.dirname(os.path.realpath(__file__))) # This requires setuptools when building; setuptools is not needed # when installing from a wheel file (though it is still needed for # alternative forms of installing, as suggested by README.md). from setuptools import Extension, setup from setuptools.command.build_py import build_py from mypy.version import __version__ as version if TYPE_CHECKING: from typing_extensions import TypeGuard def is_list_of_setuptools_extension(items: list[Any]) -> TypeGuard[list[Extension]]: return all(isinstance(item, Extension) for item in items) def find_package_data(base: str, globs: list[str], root: str = "mypy") -> list[str]: """Find all interesting data files, for setup(package_data=) Arguments: root: The directory to search in. globs: A list of glob patterns to accept files. """ rv_dirs = [root for root, dirs, files in os.walk(base)] rv = [] for rv_dir in rv_dirs: files = [] for pat in globs: files += glob.glob(os.path.join(rv_dir, pat)) if not files: continue rv.extend([os.path.relpath(f, root) for f in files]) return rv class CustomPythonBuild(build_py): def pin_version(self) -> None: path = os.path.join(self.build_lib, "mypy") self.mkpath(path) with open(os.path.join(path, "version.py"), "w") as stream: stream.write(f'__version__ = "{version}"\n') def run(self) -> None: self.execute(self.pin_version, ()) build_py.run(self) cmdclass = {"build_py": CustomPythonBuild} USE_MYPYC = False # To compile with mypyc, a mypyc checkout must be present on the PYTHONPATH if len(sys.argv) > 1 and "--use-mypyc" in sys.argv: sys.argv.remove("--use-mypyc") USE_MYPYC = True if os.getenv("MYPY_USE_MYPYC", None) == "1": USE_MYPYC = True if USE_MYPYC: MYPYC_BLACKLIST = tuple( os.path.join("mypy", x) for x in ( # Need to be runnable as scripts "__main__.py", "pyinfo.py", os.path.join("dmypy", "__main__.py"), "exportjson.py", # Uses __getattr__/__setattr__ "split_namespace.py", # Lies to mypy about code reachability "bogus_type.py", # We don't populate __file__ properly at the top level or something? # Also I think there would be problems with how we generate version.py. "version.py", # Skip these to reduce the size of the build "stubtest.py", "stubgenc.py", "stubdoc.py", ) ) + ( # Don't want to grab this accidentally os.path.join("mypyc", "lib-rt", "setup.py"), # Uses __file__ at top level https://github.com/mypyc/mypyc/issues/700 os.path.join("mypyc", "__main__.py"), os.path.join("mypyc", "build_setup.py"), # for monkeypatching ) everything = [os.path.join("mypy", x) for x in find_package_data("mypy", ["*.py"])] + [ os.path.join("mypyc", x) for x in find_package_data("mypyc", ["*.py"], root="mypyc") ] # Start with all the .py files all_real_pys = [ x for x in everything if not x.startswith(os.path.join("mypy", "typeshed") + os.sep) ] # Strip out anything in our blacklist mypyc_targets = [x for x in all_real_pys if x not in MYPYC_BLACKLIST] # Strip out any test code mypyc_targets = [ x for x in mypyc_targets if not x.startswith( ( os.path.join("mypy", "test") + os.sep, os.path.join("mypyc", "test") + os.sep, os.path.join("mypyc", "doc") + os.sep, os.path.join("mypyc", "test-data") + os.sep, ) ) ] # ... and add back in the one test module we need mypyc_targets.append(os.path.join("mypy", "test", "visitors.py")) # The targets come out of file system apis in an unspecified # order. Sort them so that the mypyc output is deterministic. mypyc_targets.sort() use_other_mypyc = os.getenv("ALTERNATE_MYPYC_PATH", None) if use_other_mypyc: # This bit is super unfortunate: we want to use a different # mypy/mypyc version, but we've already imported parts, so we # remove the modules that we've imported already, which will # let the right versions be imported by mypyc. del sys.modules["mypy"] del sys.modules["mypy.version"] del sys.modules["mypy.git"] sys.path.insert(0, use_other_mypyc) from mypyc.build import mypycify opt_level = os.getenv("MYPYC_OPT_LEVEL", "3") debug_level = os.getenv("MYPYC_DEBUG_LEVEL", "1") force_multifile = os.getenv("MYPYC_MULTI_FILE", "") == "1" log_trace = bool(int(os.getenv("MYPYC_LOG_TRACE", "0"))) ext_modules = mypycify( mypyc_targets + ["--config-file=mypy_bootstrap.ini"], opt_level=opt_level, debug_level=debug_level, # Use multi-file compilation mode on windows because without it # our Appveyor builds run out of memory sometimes. multi_file=sys.platform == "win32" or force_multifile, log_trace=log_trace, # Mypy itself is allowed to use native_internal extension. depends_on_librt_internal=True, ) else: ext_modules = [] assert is_list_of_setuptools_extension(ext_modules), "Expected mypycify to use setuptools" setup(version=version, ext_modules=ext_modules, cmdclass=cmdclass) ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.438764 mypy-1.19.0/test-data/0000755000175100017510000000000015112310011014115 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4377642 mypy-1.19.0/test-data/packages/0000755000175100017510000000000015112310011015673 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.680766 mypy-1.19.0/test-data/packages/modulefinder/0000755000175100017510000000000015112310012020351 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.433764 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg1/0000755000175100017510000000000015112310011022020 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.433764 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg1/nsx/0000755000175100017510000000000015112310011022630 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6867664 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg1/nsx/a/0000755000175100017510000000000015112310012023051 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg1/nsx/a/__init__.py0000644000175100017510000000000015112307767025177 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.433764 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg2/0000755000175100017510000000000015112310011022021 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.433764 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg2/nsx/0000755000175100017510000000000015112310011022631 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6867664 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg2/nsx/b/0000755000175100017510000000000015112310012023053 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg2/nsx/b/__init__.py0000644000175100017510000000000015112307767025201 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4347641 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg3/0000755000175100017510000000000015112310011022022 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4347641 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg3/nsx/0000755000175100017510000000000015112310011022632 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6867664 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg3/nsx/c/0000755000175100017510000000000015112310012023055 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg3/nsx/c/c0000644000175100017510000000000015112307767023237 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsx-pkg3/nsx/c/c.py0000644000175100017510000000000015112307767023666 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4347641 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg1/0000755000175100017510000000000015112310011022021 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4347641 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg1/nsy/0000755000175100017510000000000015112310011022632 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6877663 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg1/nsy/a/0000755000175100017510000000000015112310012023053 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg1/nsy/a/__init__.py0000644000175100017510000000000015112307767025201 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg1/nsy/a/__init__.pyi0000644000175100017510000000000015112307767025352 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4347641 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg2/0000755000175100017510000000000015112310011022022 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6877663 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg2/nsy/0000755000175100017510000000000015112310012022634 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6877663 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg2/nsy/b/0000755000175100017510000000000015112310012023055 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg2/nsy/b/__init__.py0000644000175100017510000000000015112307767025203 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg2/nsy/b.pyi0000644000175100017510000000000015112307767023615 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg2/nsy/c.py0000644000175100017510000000000015112307767023445 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/nsy-pkg2/nsy/c.pyi0000644000175100017510000000000015112307767023616 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6887662 mypy-1.19.0/test-data/packages/modulefinder/pkg1/0000755000175100017510000000000015112310012021213 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/pkg1/a0000644000175100017510000000000015112307767021373 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/pkg1/a.py0000644000175100017510000000000015112307767022022 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.435764 mypy-1.19.0/test-data/packages/modulefinder/pkg2/0000755000175100017510000000000015112310011021213 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6887662 mypy-1.19.0/test-data/packages/modulefinder/pkg2/b/0000755000175100017510000000000015112310012021435 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/pkg2/b/__init__.py0000644000175100017510000000000015112307767023563 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder/readme.txt0000644000175100017510000000021415112307767022373 0ustar00runnerrunnerSamples for testing modulefinder.FindModuleCache. Contains three packages for the `nsx` namespace, and two packages providing `a` and `b`. ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.680766 mypy-1.19.0/test-data/packages/modulefinder-site-packages/0000755000175100017510000000000015112310012023067 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.430764 mypy-1.19.0/test-data/packages/modulefinder-site-packages/baz/0000755000175100017510000000000015112310011023642 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.680766 mypy-1.19.0/test-data/packages/modulefinder-site-packages/baz/baz_pkg/0000755000175100017510000000000015112310012025260 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 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mypy-1.19.0/test-data/packages/modulefinder-site-packages/foo-stubs/0000755000175100017510000000000015112310012025010 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/foo-stubs/__init__.pyi0000644000175100017510000000000015112307767027307 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/foo-stubs/bar.pyi0000644000175100017510000000001515112307767026322 0ustar00runnerrunnerbar_var: str ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/foo-stubs/qux.pyi0000644000175100017510000000001515112307767026373 0ustar00runnerrunnerqux_var: int ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6827662 mypy-1.19.0/test-data/packages/modulefinder-site-packages/ns_pkg_typed/0000755000175100017510000000000015112310012025555 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/ns_pkg_typed/a.py0000644000175100017510000000001415112307767026371 0ustar00runnerrunnera_var = "a" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6827662 mypy-1.19.0/test-data/packages/modulefinder-site-packages/ns_pkg_typed/b/0000755000175100017510000000000015112310012025776 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/ns_pkg_typed/b/c.py0000644000175100017510000000001415112307767026614 0ustar00runnerrunnerc_var = "c" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 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mypy-1.19.0/test-data/packages/modulefinder-site-packages/ns_pkg_untyped/b/c.py0000644000175100017510000000001415112307767027157 0ustar00runnerrunnerc_var = "c" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4317641 mypy-1.19.0/test-data/packages/modulefinder-site-packages/ns_pkg_w_stubs/0000755000175100017510000000000015112310011026115 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6827662 mypy-1.19.0/test-data/packages/modulefinder-site-packages/ns_pkg_w_stubs/typed/0000755000175100017510000000000015112310012027243 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/ns_pkg_w_stubs/typed/__init__.py0000644000175100017510000000000015112307767031371 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 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0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/pkg_typed_w_stubs/spam.py0000644000175100017510000000002215112307767030156 0ustar00runnerrunnerspam_var = "spam" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/pkg_typed_w_stubs/spam.pyi0000644000175100017510000000002115112307767030326 0ustar00runnerrunnerspam_var: object ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6857662 mypy-1.19.0/test-data/packages/modulefinder-site-packages/pkg_typed_w_stubs-stubs/0000755000175100017510000000000015112310012027761 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 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././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/pkg_untyped/a.py0000644000175100017510000000001415112307767026234 0ustar00runnerrunnera_var = "a" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6857662 mypy-1.19.0/test-data/packages/modulefinder-site-packages/pkg_untyped/b/0000755000175100017510000000000015112310012025641 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/pkg_untyped/b/__init__.py0000644000175100017510000000001415112307767027774 0ustar00runnerrunnerb_var = "b" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/modulefinder-site-packages/pkg_untyped/b/c.py0000644000175100017510000000001415112307767026457 0ustar00runnerrunnerc_var = 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0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6887662 mypy-1.19.0/test-data/packages/typedpkg/0000755000175100017510000000000015112310012017523 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg/pyproject.toml0000644000175100017510000000022215112307767022462 0ustar00runnerrunner[project] name = 'typedpkg' version = '0.1' description = 'test' [build-system] requires = ["hatchling==1.18"] build-backend = "hatchling.build" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6897664 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/0000755000175100017510000000000015112310012021352 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/__init__.py0000644000175100017510000000000015112307767023500 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/dne.py0000644000175100017510000000000015112307767022507 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6897664 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/pkg/0000755000175100017510000000000015112310012022133 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/pkg/__init__.py0000644000175100017510000000000015112307767024261 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/pkg/aaa.py0000644000175100017510000000006015112307767023252 0ustar00runnerrunnerdef af(a: str) -> str: return a + " nested" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/pkg/py.typed0000644000175100017510000000000015112307767023647 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/py.typed0000644000175100017510000000000015112307767023066 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg/typedpkg/sample.py0000644000175100017510000000022315112307767023231 0ustar00runnerrunnerfrom typing import Iterable, Tuple def ex(a): # type: (Iterable[str]) -> Tuple[str, ...] """Example typed package.""" return list(a) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6887662 mypy-1.19.0/test-data/packages/typedpkg-stubs/0000755000175100017510000000000015112310012020661 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg-stubs/pyproject.toml0000644000175100017510000000030315112307767023620 0ustar00runnerrunner[project] name = 'typedpkg-stubs' version = '0.1' description = 'test' [tool.hatch.build] include = ["**/*.pyi"] [build-system] requires = ["hatchling==1.18"] build-backend = "hatchling.build" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6887662 mypy-1.19.0/test-data/packages/typedpkg-stubs/typedpkg-stubs/0000755000175100017510000000000015112310012023646 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg-stubs/typedpkg-stubs/__init__.pyi0000644000175100017510000000000015112307767026145 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg-stubs/typedpkg-stubs/py.typed0000644000175100017510000000001015112307767025363 0ustar00runnerrunnerpartial ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg-stubs/typedpkg-stubs/sample.pyi0000644000175100017510000000011515112307767025676 0ustar00runnerrunnerfrom typing import Iterable, List def ex(a: Iterable[str]) -> List[str]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6907663 mypy-1.19.0/test-data/packages/typedpkg_ns_a/0000755000175100017510000000000015112310012020523 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_a/pyproject.toml0000644000175100017510000000034715112307767023472 0ustar00runnerrunner[project] name = 'typedpkg_namespace.alpha' version = '0.1' description = 'test' [tool.hatch.build] include = ["**/*.py", "**/*.pyi", "**/py.typed"] [build-system] requires = ["hatchling==1.18"] build-backend = "hatchling.build" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6907663 mypy-1.19.0/test-data/packages/typedpkg_ns_a/typedpkg_ns/0000755000175100017510000000000015112310012023052 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_a/typedpkg_ns/__init__.py0000644000175100017510000000011015112307767025202 0ustar00runnerrunner# namespace pkg __import__("pkg_resources").declare_namespace(__name__) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6907663 mypy-1.19.0/test-data/packages/typedpkg_ns_a/typedpkg_ns/a/0000755000175100017510000000000015112310012023272 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_a/typedpkg_ns/a/__init__.py0000644000175100017510000000000015112307767025420 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_a/typedpkg_ns/a/bbb.py0000644000175100017510000000005215112307767024415 0ustar00runnerrunnerdef bf(a: bool) -> bool: return not a ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_a/typedpkg_ns/a/py.typed0000644000175100017510000000000015112307767025006 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6907663 mypy-1.19.0/test-data/packages/typedpkg_ns_b/0000755000175100017510000000000015112310012020524 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_b/pyproject.toml0000644000175100017510000000024115112307767023464 0ustar00runnerrunner[project] name = 'typedpkg_namespace.beta' version = '0.1' description = 'test' [build-system] requires = ["hatchling==1.18"] build-backend = "hatchling.build" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6917663 mypy-1.19.0/test-data/packages/typedpkg_ns_b/typedpkg_ns/0000755000175100017510000000000015112310012023053 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_b/typedpkg_ns/__init__.py0000644000175100017510000000011015112307767025203 0ustar00runnerrunner# namespace pkg __import__("pkg_resources").declare_namespace(__name__) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6917663 mypy-1.19.0/test-data/packages/typedpkg_ns_b/typedpkg_ns/b/0000755000175100017510000000000015112310012023274 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_b/typedpkg_ns/b/__init__.py0000644000175100017510000000000015112307767025422 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_b/typedpkg_ns/b/bbb.py0000644000175100017510000000003415112307767024417 0ustar00runnerrunnerdef bf(a): return not a ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6917663 mypy-1.19.0/test-data/packages/typedpkg_ns_b-stubs/0000755000175100017510000000000015112310012021662 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_b-stubs/pyproject.toml0000644000175100017510000000030615112307767024624 0ustar00runnerrunner[project] name = 'typedpkg_ns-stubs' version = '0.1' description = 'test' [tool.hatch.build] include = ["**/*.pyi"] [build-system] requires = ["hatchling==1.18"] build-backend = "hatchling.build" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4377642 mypy-1.19.0/test-data/packages/typedpkg_ns_b-stubs/typedpkg_ns-stubs/0000755000175100017510000000000015112310011025346 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6917663 mypy-1.19.0/test-data/packages/typedpkg_ns_b-stubs/typedpkg_ns-stubs/b/0000755000175100017510000000000015112310012025570 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_b-stubs/typedpkg_ns-stubs/b/__init__.pyi0000644000175100017510000000000015112307767030067 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_b-stubs/typedpkg_ns-stubs/b/bbb.pyi0000644000175100017510000000003515112307767027065 0ustar00runnerrunnerdef bf(a: bool) -> bool: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6917663 mypy-1.19.0/test-data/packages/typedpkg_ns_nested/0000755000175100017510000000000015112310012021565 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_nested/pyproject.toml0000644000175100017510000000041515112307767024530 0ustar00runnerrunner[project] name = 'typedpkg_namespace.nested' version = '0.1' description = 'Two namespace packages, one of them typed' [tool.hatch.build] include = ["**/*.py", "**/*.pyi", "**/py.typed"] [build-system] requires = ["hatchling==1.18"] build-backend = "hatchling.build" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.4377642 mypy-1.19.0/test-data/packages/typedpkg_ns_nested/typedpkg_ns/0000755000175100017510000000000015112310011024113 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6927664 mypy-1.19.0/test-data/packages/typedpkg_ns_nested/typedpkg_ns/a/0000755000175100017510000000000015112310012024334 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_nested/typedpkg_ns/a/__init__.py0000644000175100017510000000000015112307767026462 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_nested/typedpkg_ns/a/py.typed0000644000175100017510000000000015112307767026050 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6927664 mypy-1.19.0/test-data/packages/typedpkg_ns_nested/typedpkg_ns/b/0000755000175100017510000000000015112310012024335 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/packages/typedpkg_ns_nested/typedpkg_ns/b/__init__.py0000644000175100017510000000000015112307767026463 0ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6927664 mypy-1.19.0/test-data/pybind11_fixtures/0000755000175100017510000000000015112310012017476 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.438764 mypy-1.19.0/test-data/pybind11_fixtures/expected_stubs_no_docs/0000755000175100017510000000000015112310011024222 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6927664 mypy-1.19.0/test-data/pybind11_fixtures/expected_stubs_no_docs/pybind11_fixtures/0000755000175100017510000000000015112310012027603 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/pybind11_fixtures/expected_stubs_no_docs/pybind11_fixtures/__init__.pyi0000644000175100017510000000161615112307767032120 0ustar00runnerrunnerimport pathlib import typing from . import demo as demo from typing import overload class StaticMethods: def __init__(self, *args, **kwargs) -> None: ... @overload @staticmethod def overloaded_static_method(value: typing.SupportsInt) -> int: ... @overload @staticmethod def overloaded_static_method(value: typing.SupportsFloat) -> float: ... @staticmethod def some_static_method(a: typing.SupportsInt, b: typing.SupportsInt) -> int: ... class TestStruct: field_readwrite: int field_readwrite_docstring: int def __init__(self, *args, **kwargs) -> None: ... @property def field_readonly(self) -> int: ... def func_incomplete_signature(*args, **kwargs): ... def func_returning_optional() -> int | None: ... def func_returning_pair() -> tuple[int, float]: ... def func_returning_path() -> pathlib.Path: ... def func_returning_vector() -> list[float]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/pybind11_fixtures/expected_stubs_no_docs/pybind11_fixtures/demo.pyi0000644000175100017510000000443515112307767031307 0ustar00runnerrunnerimport typing from typing import ClassVar, overload PI: float __version__: str class Point: class AngleUnit: __members__: ClassVar[dict] = ... # read-only __entries: ClassVar[dict] = ... degree: ClassVar[Point.AngleUnit] = ... radian: ClassVar[Point.AngleUnit] = ... def __init__(self, value: typing.SupportsInt) -> None: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... def __index__(self) -> int: ... def __int__(self) -> int: ... def __ne__(self, other: object) -> bool: ... @property def name(self) -> str: ... @property def value(self) -> int: ... class LengthUnit: __members__: ClassVar[dict] = ... # read-only __entries: ClassVar[dict] = ... inch: ClassVar[Point.LengthUnit] = ... mm: ClassVar[Point.LengthUnit] = ... pixel: ClassVar[Point.LengthUnit] = ... def __init__(self, value: typing.SupportsInt) -> None: ... def __eq__(self, other: object) -> bool: ... def __hash__(self) -> int: ... def __index__(self) -> int: ... def __int__(self) -> int: ... def __ne__(self, other: object) -> bool: ... @property def name(self) -> str: ... @property def value(self) -> int: ... angle_unit: ClassVar[Point.AngleUnit] = ... length_unit: ClassVar[Point.LengthUnit] = ... x_axis: ClassVar[Point] = ... # read-only y_axis: ClassVar[Point] = ... # read-only origin: ClassVar[Point] = ... x: float y: float @overload def __init__(self) -> None: ... @overload def __init__(self, x: typing.SupportsFloat, y: typing.SupportsFloat) -> None: ... def as_list(self) -> list[float]: ... @overload def distance_to(self, x: typing.SupportsFloat, y: typing.SupportsFloat) -> float: ... @overload def distance_to(self, other: Point) -> float: ... @property def length(self) -> float: ... def answer() -> int: ... def midpoint(left: typing.SupportsFloat, right: typing.SupportsFloat) -> float: ... def sum(arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> int: ... def weighted_midpoint(left: typing.SupportsFloat, right: typing.SupportsFloat, alpha: typing.SupportsFloat = ...) -> float: ... ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1764331529.438764 mypy-1.19.0/test-data/pybind11_fixtures/expected_stubs_with_docs/0000755000175100017510000000000015112310011024561 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6937664 mypy-1.19.0/test-data/pybind11_fixtures/expected_stubs_with_docs/pybind11_fixtures/0000755000175100017510000000000015112310012030142 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/pybind11_fixtures/expected_stubs_with_docs/pybind11_fixtures/__init__.pyi0000644000175100017510000000366615112307767032466 0ustar00runnerrunnerimport pathlib import typing from . import demo as demo from typing import overload class StaticMethods: def __init__(self, *args, **kwargs) -> None: """Initialize self. See help(type(self)) for accurate signature.""" @overload @staticmethod def overloaded_static_method(value: typing.SupportsInt) -> int: """overloaded_static_method(*args, **kwargs) Overloaded function. 1. overloaded_static_method(value: typing.SupportsInt) -> int 2. overloaded_static_method(value: typing.SupportsFloat) -> float """ @overload @staticmethod def overloaded_static_method(value: typing.SupportsFloat) -> float: """overloaded_static_method(*args, **kwargs) Overloaded function. 1. overloaded_static_method(value: typing.SupportsInt) -> int 2. overloaded_static_method(value: typing.SupportsFloat) -> float """ @staticmethod def some_static_method(a: typing.SupportsInt, b: typing.SupportsInt) -> int: """some_static_method(a: typing.SupportsInt, b: typing.SupportsInt) -> int None """ class TestStruct: field_readwrite: int field_readwrite_docstring: int def __init__(self, *args, **kwargs) -> None: """Initialize self. See help(type(self)) for accurate signature.""" @property def field_readonly(self) -> int: """some docstring (arg0: pybind11_fixtures.TestStruct) -> int """ def func_incomplete_signature(*args, **kwargs): """func_incomplete_signature() -> dummy_sub_namespace::HasNoBinding""" def func_returning_optional() -> int | None: """func_returning_optional() -> int | None""" def func_returning_pair() -> tuple[int, float]: """func_returning_pair() -> tuple[int, float]""" def func_returning_path() -> pathlib.Path: """func_returning_path() -> pathlib.Path""" def func_returning_vector() -> list[float]: """func_returning_vector() -> list[float]""" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/pybind11_fixtures/expected_stubs_with_docs/pybind11_fixtures/demo.pyi0000644000175100017510000001226515112307767031646 0ustar00runnerrunnerimport typing from typing import ClassVar, overload PI: float __version__: str class Point: class AngleUnit: """Members: radian degree""" __members__: ClassVar[dict] = ... # read-only __entries: ClassVar[dict] = ... degree: ClassVar[Point.AngleUnit] = ... radian: ClassVar[Point.AngleUnit] = ... def __init__(self, value: typing.SupportsInt) -> None: """__init__(self: pybind11_fixtures.demo.Point.AngleUnit, value: typing.SupportsInt) -> None""" def __eq__(self, other: object) -> bool: """__eq__(self: object, other: object, /) -> bool""" def __hash__(self) -> int: """__hash__(self: object, /) -> int""" def __index__(self) -> int: """__index__(self: pybind11_fixtures.demo.Point.AngleUnit, /) -> int""" def __int__(self) -> int: """__int__(self: pybind11_fixtures.demo.Point.AngleUnit, /) -> int""" def __ne__(self, other: object) -> bool: """__ne__(self: object, other: object, /) -> bool""" @property def name(self) -> str: """name(self: object, /) -> str name(self: object, /) -> str """ @property def value(self) -> int: """(arg0: pybind11_fixtures.demo.Point.AngleUnit) -> int""" class LengthUnit: """Members: mm pixel inch""" __members__: ClassVar[dict] = ... # read-only __entries: ClassVar[dict] = ... inch: ClassVar[Point.LengthUnit] = ... mm: ClassVar[Point.LengthUnit] = ... pixel: ClassVar[Point.LengthUnit] = ... def __init__(self, value: typing.SupportsInt) -> None: """__init__(self: pybind11_fixtures.demo.Point.LengthUnit, value: typing.SupportsInt) -> None""" def __eq__(self, other: object) -> bool: """__eq__(self: object, other: object, /) -> bool""" def __hash__(self) -> int: """__hash__(self: object, /) -> int""" def __index__(self) -> int: """__index__(self: pybind11_fixtures.demo.Point.LengthUnit, /) -> int""" def __int__(self) -> int: """__int__(self: pybind11_fixtures.demo.Point.LengthUnit, /) -> int""" def __ne__(self, other: object) -> bool: """__ne__(self: object, other: object, /) -> bool""" @property def name(self) -> str: """name(self: object, /) -> str name(self: object, /) -> str """ @property def value(self) -> int: """(arg0: pybind11_fixtures.demo.Point.LengthUnit) -> int""" angle_unit: ClassVar[Point.AngleUnit] = ... length_unit: ClassVar[Point.LengthUnit] = ... x_axis: ClassVar[Point] = ... # read-only y_axis: ClassVar[Point] = ... # read-only origin: ClassVar[Point] = ... x: float y: float @overload def __init__(self) -> None: """__init__(*args, **kwargs) Overloaded function. 1. __init__(self: pybind11_fixtures.demo.Point) -> None 2. __init__(self: pybind11_fixtures.demo.Point, x: typing.SupportsFloat, y: typing.SupportsFloat) -> None """ @overload def __init__(self, x: typing.SupportsFloat, y: typing.SupportsFloat) -> None: """__init__(*args, **kwargs) Overloaded function. 1. __init__(self: pybind11_fixtures.demo.Point) -> None 2. __init__(self: pybind11_fixtures.demo.Point, x: typing.SupportsFloat, y: typing.SupportsFloat) -> None """ def as_list(self) -> list[float]: """as_list(self: pybind11_fixtures.demo.Point) -> list[float]""" @overload def distance_to(self, x: typing.SupportsFloat, y: typing.SupportsFloat) -> float: """distance_to(*args, **kwargs) Overloaded function. 1. distance_to(self: pybind11_fixtures.demo.Point, x: typing.SupportsFloat, y: typing.SupportsFloat) -> float 2. distance_to(self: pybind11_fixtures.demo.Point, other: pybind11_fixtures.demo.Point) -> float """ @overload def distance_to(self, other: Point) -> float: """distance_to(*args, **kwargs) Overloaded function. 1. distance_to(self: pybind11_fixtures.demo.Point, x: typing.SupportsFloat, y: typing.SupportsFloat) -> float 2. distance_to(self: pybind11_fixtures.demo.Point, other: pybind11_fixtures.demo.Point) -> float """ @property def length(self) -> float: """(arg0: pybind11_fixtures.demo.Point) -> float""" def answer() -> int: '''answer() -> int answer docstring, with end quote" ''' def midpoint(left: typing.SupportsFloat, right: typing.SupportsFloat) -> float: """midpoint(left: typing.SupportsFloat, right: typing.SupportsFloat) -> float""" def sum(arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> int: '''sum(arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> int multiline docstring test, edge case quotes """\'\'\' ''' def weighted_midpoint(left: typing.SupportsFloat, right: typing.SupportsFloat, alpha: typing.SupportsFloat = ...) -> float: """weighted_midpoint(left: typing.SupportsFloat, right: typing.SupportsFloat, alpha: typing.SupportsFloat = 0.5) -> float""" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/pybind11_fixtures/pyproject.toml0000644000175100017510000000044415112307767022443 0ustar00runnerrunner[build-system] requires = [ "setuptools>=42", "wheel", # Officially supported pybind11 version. This is pinned to guarantee 100% reproducible CI. # As a result, the version needs to be bumped manually at will. "pybind11==3.0.1", ] build-backend = "setuptools.build_meta" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/pybind11_fixtures/setup.py0000644000175100017510000000065615112307767021246 0ustar00runnerrunner# pybind11 is available at setup time due to pyproject.toml from pybind11.setup_helpers import Pybind11Extension from setuptools import setup # Documentation: https://pybind11.readthedocs.io/en/stable/compiling.html ext_modules = [ Pybind11Extension( "pybind11_fixtures", ["src/main.cpp"], cxx_std=17, ), ] setup( name="pybind11_fixtures", version="0.0.1", ext_modules=ext_modules, ) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.6937664 mypy-1.19.0/test-data/pybind11_fixtures/src/0000755000175100017510000000000015112310012020265 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/pybind11_fixtures/src/main.cpp0000644000175100017510000002142515112307767021750 0ustar00runnerrunner/** * This file contains the pybind11 reference implementation for the stugen tests, * and was originally inspired by: * * https://github.com/sizmailov/pybind11-mypy-demo * * Copyright (c) 2016 The Pybind Development Team, All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * * 3. Neither the name of the copyright holder nor the names of its contributors * may be used to endorse or promote products derived from this software * without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * You are under no obligation whatsoever to provide any bug fixes, patches, or * upgrades to the features, functionality or performance of the source code * ("Enhancements") to anyone; however, if you choose to make your Enhancements * available either publicly, or directly to the author of this software, without * imposing a separate written license agreement for such Enhancements, then you * hereby grant the following license: a non-exclusive, royalty-free perpetual * license to install, use, modify, prepare derivative works, incorporate into * other computer software, distribute, and sublicense such enhancements or * derivative works thereof, in binary and source code form. */ #include #include #include #include #include #include #include #include namespace py = pybind11; // ---------------------------------------------------------------------------- // Dedicated test cases // ---------------------------------------------------------------------------- std::vector funcReturningVector() { return std::vector{1.0, 2.0, 3.0}; } std::pair funcReturningPair() { return std::pair{42, 1.0}; } std::optional funcReturningOptional() { return std::nullopt; } std::filesystem::path funcReturningPath() { return std::filesystem::path{"foobar"}; } namespace dummy_sub_namespace { struct HasNoBinding{}; } // We can enforce the case of an incomplete signature by referring to a type in // some namespace that doesn't have a pybind11 binding. dummy_sub_namespace::HasNoBinding funcIncompleteSignature() { return dummy_sub_namespace::HasNoBinding{}; } struct TestStruct { int field_readwrite; int field_readwrite_docstring; int field_readonly; }; struct StaticMethods { static int some_static_method(int a, int b) { return 42; } static int overloaded_static_method(int value) { return 42; } static double overloaded_static_method(double value) { return 1.0; } }; // Bindings void bind_test_cases(py::module& m) { m.def("func_returning_vector", &funcReturningVector); m.def("func_returning_pair", &funcReturningPair); m.def("func_returning_optional", &funcReturningOptional); m.def("func_returning_path", &funcReturningPath); m.def("func_incomplete_signature", &funcIncompleteSignature); py::class_(m, "TestStruct") .def_readwrite("field_readwrite", &TestStruct::field_readwrite) .def_readwrite("field_readwrite_docstring", &TestStruct::field_readwrite_docstring, "some docstring") .def_property_readonly( "field_readonly", [](const TestStruct& x) { return x.field_readonly; }, "some docstring"); // Static methods py::class_ pyStaticMethods(m, "StaticMethods"); pyStaticMethods .def_static( "some_static_method", &StaticMethods::some_static_method, R"#(None)#", py::arg("a"), py::arg("b")) .def_static( "overloaded_static_method", py::overload_cast(&StaticMethods::overloaded_static_method), py::arg("value")) .def_static( "overloaded_static_method", py::overload_cast(&StaticMethods::overloaded_static_method), py::arg("value")); } // ---------------------------------------------------------------------------- // Original demo // ---------------------------------------------------------------------------- namespace demo { int answer() { return 42; } int sum(int a, int b) { return a + b; } double midpoint(double left, double right){ return left + (right - left)/2; } double weighted_midpoint(double left, double right, double alpha=0.5) { return left + (right - left) * alpha; } struct Point { enum class LengthUnit { mm=0, pixel, inch }; enum class AngleUnit { radian=0, degree }; Point() : Point(0, 0) {} Point(double x, double y) : x(x), y(y) {} static const Point origin; static const Point x_axis; static const Point y_axis; static LengthUnit length_unit; static AngleUnit angle_unit; double length() const { return std::sqrt(x * x + y * y); } double distance_to(double other_x, double other_y) const { double dx = x - other_x; double dy = y - other_y; return std::sqrt(dx*dx + dy*dy); } double distance_to(const Point& other) const { return distance_to(other.x, other.y); } std::vector as_vector() { return std::vector{x, y}; } double x, y; }; const Point Point::origin = Point(0, 0); const Point Point::x_axis = Point(1, 0); const Point Point::y_axis = Point(0, 1); Point::LengthUnit Point::length_unit = Point::LengthUnit::mm; Point::AngleUnit Point::angle_unit = Point::AngleUnit::radian; } // namespace: demo // Bindings void bind_demo(py::module& m) { using namespace demo; // Functions m.def("answer", &answer, "answer docstring, with end quote\""); // tests explicit docstrings m.def("sum", &sum, "multiline docstring test, edge case quotes \"\"\"'''"); m.def("midpoint", &midpoint, py::arg("left"), py::arg("right")); m.def("weighted_midpoint", weighted_midpoint, py::arg("left"), py::arg("right"), py::arg("alpha")=0.5); // Classes py::class_ pyPoint(m, "Point"); py::enum_ pyLengthUnit(pyPoint, "LengthUnit"); py::enum_ pyAngleUnit(pyPoint, "AngleUnit"); pyPoint .def(py::init<>()) .def(py::init(), py::arg("x"), py::arg("y")) .def("distance_to", py::overload_cast(&Point::distance_to, py::const_), py::arg("x"), py::arg("y")) .def("distance_to", py::overload_cast(&Point::distance_to, py::const_), py::arg("other")) .def("as_list", &Point::as_vector) .def_readwrite("x", &Point::x, "some docstring") .def_property("y", [](Point& self){ return self.y; }, [](Point& self, double value){ self.y = value; } ) .def_property_readonly("length", &Point::length) .def_property_readonly_static("x_axis", [](py::object cls){return Point::x_axis;}) .def_property_readonly_static("y_axis", [](py::object cls){return Point::y_axis;}, "another docstring") .def_readwrite_static("length_unit", &Point::length_unit) .def_property_static("angle_unit", [](py::object& /*cls*/){ return Point::angle_unit; }, [](py::object& /*cls*/, Point::AngleUnit value){ Point::angle_unit = value; } ); pyPoint.attr("origin") = Point::origin; pyLengthUnit .value("mm", Point::LengthUnit::mm) .value("pixel", Point::LengthUnit::pixel) .value("inch", Point::LengthUnit::inch); pyAngleUnit .value("radian", Point::AngleUnit::radian) .value("degree", Point::AngleUnit::degree); // Module-level attributes m.attr("PI") = std::acos(-1); m.attr("__version__") = "0.0.1"; } // ---------------------------------------------------------------------------- // Module entry point // ---------------------------------------------------------------------------- PYBIND11_MODULE(pybind11_fixtures, m) { bind_test_cases(m); auto demo = m.def_submodule("demo"); bind_demo(demo); } ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7287667 mypy-1.19.0/test-data/unit/0000755000175100017510000000000015112310012015075 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/README.md0000644000175100017510000002036515112307767016411 0ustar00runnerrunnerTests ===== Quick Start ----------- To add a simple unit test for a new feature you developed, open or create a `test-data/unit/check-*.test` file with a name that roughly relates to the feature you added. If you added a new `check-*.test` file, it will be autodiscovered during unittests run. Add the test in this format anywhere in the file: [case testNewSyntaxBasics] # flags: --python-version 3.10 x: int x = 5 y: int = 5 a: str a = 5 # E: Incompatible types in assignment (expression has type "int", variable has type "str") b: str = 5 # E: Incompatible types in assignment (expression has type "int", variable has type "str") zzz: int zzz: str # E: Name "zzz" already defined - no code here is executed, just type checked - optional `# flags: ` indicates which flags to use for this unit test - `# E: abc...` indicates that this line should result in type check error with text "abc..." - note a space after `E:` and `flags:` - `# E:12` adds column number to the expected error - use `\` to escape the `#` character and indicate that the rest of the line is part of the error message - repeating `# E: ` several times in one line indicates multiple expected errors in one line - `W: ...` and `N: ...` works exactly like `E: ...`, but report a warning and a note respectively - lines that don't contain the above should cause no type check errors - optional `[builtins fixtures/...]` tells the type checker to use `builtins` stubs from the indicated file (see Fixtures section below) - optional `[out]` is an alternative to the `# E: ` notation: it indicates that any text after it contains the expected type checking error messages. Usually, `# E: ` is preferred because it makes it easier to associate the errors with the code generating them at a glance, and to change the code of the test without having to change line numbers in `[out]` - an empty `[out]` section has no effect - to add tests for a feature that hasn't been implemented yet, append `-xfail` to the end of the test name - to run just this test, use `pytest -n0 -k testNewSyntaxBasics` Fixtures -------- The unit tests use minimal stubs for builtins, so a lot of operations are not possible. You should generally define any needed classes within the test case instead of relying on builtins, though clearly this is not always an option (see below for more about stubs in test cases). This way tests run much faster and don't break if the stubs change. If your test crashes mysteriously even though the code works when run manually, you should make sure you have all the stubs you need for your test case, including built-in classes such as `list` or `dict`, as these are not included by default. Where the stubs for builtins come from for a given test: - The builtins used by default in unit tests live in `test-data/unit/lib-stub`. - Individual test cases can override the `builtins` stubs by using `[builtins fixtures/foo.pyi]`; this targets files in `test-data/unit/fixtures`. Feel free to modify existing files there or create new ones as you deem fit. - Test cases can also use `[typing fixtures/typing-full.pyi]` to use a more complete stub for `typing` that contains the async types, among other things. - Feel free to add additional stubs to that `fixtures` directory, but generally don't expand files in `lib-stub` without first discussing the addition with other mypy developers, as additions could slow down the test suite. - Some tests choose to customize the standard library in a way that's local to the test: ``` [case testFoo] ... [file builtins.py] class int: def next_fibonacci() -> int: pass ``` Another possible syntax is: ``` [fixture builtins.py] ``` Whether you use `[file ...]` or `[fixture ...]` depends on whether you want the file to be part of the tested corpus (e.g. contribute to `[out]` section) or only support the test. Running tests and linting ------------------------- First install any additional dependencies needed for testing: python3 -m pip install -U -r test-requirements.txt Configure `pre-commit` to run the linters automatically when you commit: pre-commit install The unit test suites are driven by the `pytest` framework. To run all mypy tests, run `pytest` in the mypy repository: pytest -q mypy This will run all tests, including integration and regression tests, and will verify that all stubs are valid. This may take several minutes to run, so you don't want to use this all the time while doing development. (The `-q` option activates less verbose output that looks better when running tests using many CPU cores.) Test suites for individual components are in the files `mypy/test/test*.py`. Note that some tests will be disabled for older python versions. If you work on mypyc, you will want to also run mypyc tests: pytest -q mypyc You can run tests from a specific module directly, a specific suite within a module, or a test in a suite (even if it's data-driven): pytest -q mypy/test/testdiff.py pytest -q mypy/test/testsemanal.py::SemAnalTypeInfoSuite pytest -n0 mypy/test/testargs.py::ArgSuite::test_coherence pytest -n0 mypy/test/testcheck.py::TypeCheckSuite::testCallingVariableWithFunctionType To control which tests are run and how, you can use the `-k` switch: pytest -q -k "MethodCall" You can also run the type checker for manual testing without installing it by setting up the Python module search path suitably: export PYTHONPATH=$PWD python3 -m mypy PROGRAM.py You will have to manually install the `typing` module if you're running Python 3.4 or earlier. You can also execute mypy as a module python3 -m mypy PROGRAM.py You can check a module or string instead of a file: python3 -m mypy PROGRAM.py python3 -m mypy -m MODULE python3 -m mypy -c 'import MODULE' To run mypy on itself: python3 -m mypy --config-file mypy_self_check.ini -p mypy To run the linter (this commands just wraps `pre-commit`, so you can also invoke it directly like `pre-commit run -a`, and this will also run when you `git commit` if enabled): python3 runtests.py lint You can also run all of the above tests using `runtests.py` (this includes type checking mypy and linting): python3 runtests.py By default, this runs everything except some mypyc tests. You can give it arguments to control what gets run, such as `self` to run mypy on itself: python3 runtests.py self Run `python3 runtests.py mypyc-extra` to run mypyc tests that are not enabled by default. This is typically only needed if you work on mypyc. Many test suites store test case descriptions in text files (`test-data/unit/*.test`). The module `mypy.test.data` parses these descriptions. Python evaluation test cases are a little different from unit tests (`mypy/test/testpythoneval.py`, `test-data/unit/pythoneval.test`). These type check programs and run them. Unlike the unit tests, these use the full builtins and library stubs instead of minimal ones. Run them using `pytest -k testpythoneval`. `pytest` determines the number of processes to use. The default (set in `./pytest.ini`) is the number of logical cores; this can be overridden using `-n` option. To run a single process, use `pytest -n0`. Note that running more processes than logical cores is likely to significantly decrease performance. To run tests with coverage: python3 -m pytest --cov mypy --cov-config setup.cfg --cov-report=term-missing:skip-covered --cov-report=html Debugging --------- You can use interactive debuggers like `pdb` to debug failing tests. You need to pass the `-n0` option to disable parallelization: pytest -n0 --pdb -k MethodCall You can also write `import pdb; pdb.set_trace()` in code to enter the debugger. The `--mypy-verbose` flag can be used to enable additional debug output from most tests (as if `--verbose` had been passed to mypy): pytest -n0 --mypy-verbose -k MethodCall Coverage reports ---------------- There is an experimental feature to generate coverage reports. To use this feature, you need to `pip install -U lxml`. This is an extension module and requires various library headers to install; on a Debian-derived system the command `apt-get install python3-dev libxml2-dev libxslt1-dev` may provide the necessary dependencies. To use the feature, pass e.g. `--txt-report "$(mktemp -d)"`. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-abstract.test0000644000175100017510000012554215112307767020714 0ustar00runnerrunner-- Type checker test cases for abstract classes. -- Subtyping with abstract classes -- ------------------------------- [case testAbstractClassSubclasses] from abc import abstractmethod, ABCMeta i: I j: J a: A b: B c: C def f(): i, j, a, b, c # Prevent redefinition j = c # E: Incompatible types in assignment (expression has type "C", variable has type "J") a = i # E: Incompatible types in assignment (expression has type "I", variable has type "A") a = j # E: Incompatible types in assignment (expression has type "J", variable has type "A") b = i # E: Incompatible types in assignment (expression has type "I", variable has type "B") i = a i = b i = c j = a j = b a = b class I(metaclass=ABCMeta): @abstractmethod def f(self): pass class J(metaclass=ABCMeta): @abstractmethod def g(self): pass class A(I, J): pass class B(A): pass class C(I): pass [builtins fixtures/tuple.pyi] [case testAbstractClassSubtypingViaExtension] from abc import abstractmethod, ABCMeta i: I j: J a: A o: object def f(): i, j, a, o # Prevent redefinition j = i # E: Incompatible types in assignment (expression has type "I", variable has type "J") a = i # E: Incompatible types in assignment (expression has type "I", variable has type "A") a = j # E: Incompatible types in assignment (expression has type "J", variable has type "A") i = o # E: Incompatible types in assignment (expression has type "object", variable has type "I") j = o # E: Incompatible types in assignment (expression has type "object", variable has type "J") i = a j = a i = j o = i o = j class I(metaclass=ABCMeta): @abstractmethod def f(self): pass class J(I): pass class A(J): pass [builtins fixtures/tuple.pyi] [case testInheritingAbstractClassInSubclass] from abc import abstractmethod, ABCMeta i: I a: A b: B if int(): i = a # E: Incompatible types in assignment (expression has type "A", variable has type "I") if int(): b = a # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = b if int(): i = b class I(metaclass=ABCMeta): @abstractmethod def f(self): pass class A: pass class B(A, I): pass -- Abstract class objects -- ---------------------- [case testAbstractClassAsTypeObject] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): @abstractmethod def f(self): pass o: object t: type o = I t = I [case testAbstractClassInCasts] from typing import cast from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): @abstractmethod def f(self): pass class A(I): pass class B: pass i: I a: A b: B o: object if int(): a = cast(I, o) # E: Incompatible types in assignment (expression has type "I", variable has type "A") if int(): b = cast(B, i) # Ok; a subclass of B might inherit I if int(): i = cast(I, b) # Ok; a subclass of B might inherit I if int(): i = cast(I, o) if int(): i = cast(I, a) [builtins fixtures/tuple.pyi] [case testInstantiatingClassThatImplementsAbstractMethod] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): @abstractmethod def f(self): pass class B(A): def f(self): pass B() [out] [case testInstantiatingAbstractClass] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): pass class B(metaclass=ABCMeta): @abstractmethod def f(self): pass A() # OK B() # E: Cannot instantiate abstract class "B" with abstract attribute "f" [out] [case testInstantiatingClassWithInheritedAbstractMethod] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): @abstractmethod def f(self): pass @abstractmethod def g(self): pass class B(A): pass B() # E: Cannot instantiate abstract class "B" with abstract attributes "f" and "g" [out] [case testInstantiationAbstractsInTypeForFunctions] from typing import Type from abc import abstractmethod class A: @abstractmethod def m(self) -> None: pass class B(A): pass class C(B): def m(self) -> None: pass def f(cls: Type[A]) -> A: return cls() # OK def g() -> A: return A() # E: Cannot instantiate abstract class "A" with abstract attribute "m" f(A) # E: Only concrete class can be given where "type[A]" is expected f(B) # E: Only concrete class can be given where "type[A]" is expected f(C) # OK x: Type[B] f(x) # OK [out] [case testAbstractTypeInADict] from typing import Dict, Type from abc import abstractmethod class Class: @abstractmethod def method(self) -> None: pass my_dict_init: Dict[int, Type[Class]] = {0: Class} # E: Only concrete class can be given where "tuple[int, type[Class]]" is expected class Child(Class): def method(self) -> None: ... other_dict_init: Dict[int, Type[Class]] = {0: Child} # ok [builtins fixtures/dict.pyi] [out] [case testInstantiationAbstractsInTypeForAliases] from typing import Type from abc import abstractmethod class A: @abstractmethod def m(self) -> None: pass class B(A): pass class C(B): def m(self) -> None: pass def f(cls: Type[A]) -> A: return cls() # OK Alias = A GoodAlias = C Alias() # E: Cannot instantiate abstract class "A" with abstract attribute "m" GoodAlias() f(Alias) # E: Only concrete class can be given where "type[A]" is expected f(GoodAlias) [out] [case testInstantiationAbstractsInTypeForVariables] # flags: --no-strict-optional from typing import Type, overload from abc import abstractmethod class A: @abstractmethod def m(self) -> None: pass class B(A): pass class C(B): def m(self) -> None: pass var: Type[A] var() if int(): var = A # E: Can only assign concrete classes to a variable of type "type[A]" if int(): var = B # E: Can only assign concrete classes to a variable of type "type[A]" if int(): var = C # OK var_old = None # type: Type[A] # Old syntax for variable annotations var_old() if int(): var_old = A # E: Can only assign concrete classes to a variable of type "type[A]" if int(): var_old = B # E: Can only assign concrete classes to a variable of type "type[A]" if int(): var_old = C # OK class D(A): @overload def __new__(cls, a) -> "D": ... @overload def __new__(cls) -> "D": ... def __new__(cls, a=None) -> "D": ... if int(): var = D # E: Can only assign concrete classes to a variable of type "type[A]" [out] [case testInstantiationAbstractsInTypeForClassMethods] from typing import Type from abc import abstractmethod class Logger: @staticmethod def log(a: Type[C]): pass class C: @classmethod def action(cls) -> None: cls() #OK for classmethods Logger.log(cls) #OK for classmethods @abstractmethod def m(self) -> None: pass [builtins fixtures/classmethod.pyi] [out] [case testInstantiatingClassWithInheritedAbstractMethodAndSuppression] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): @abstractmethod def a(self): pass @abstractmethod def b(self): pass @abstractmethod def c(self): pass @abstractmethod def d(self): pass @abstractmethod def e(self): pass @abstractmethod def f(self): pass @abstractmethod def g(self): pass @abstractmethod def h(self): pass @abstractmethod def i(self): pass @abstractmethod def j(self): pass a = A() # E: Cannot instantiate abstract class "A" with abstract attributes "a", "b", ... and "j" (7 methods suppressed) [out] -- Implementing abstract methods -- ----------------------------- [case testImplementingAbstractMethod] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): @abstractmethod def f(self, x: int) -> int: pass @abstractmethod def g(self, x: int) -> int: pass class B(A): def f(self, x: str) -> int: \ # E: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides return 0 def g(self, x: int) -> int: return 0 [out] [case testImplementingAbstractMethodWithMultipleBaseClasses] from abc import abstractmethod, ABCMeta import typing class I(metaclass=ABCMeta): @abstractmethod def f(self, x: int) -> int: pass class J(metaclass=ABCMeta): @abstractmethod def g(self, x: str) -> str: pass class A(I, J): def f(self, x: str) -> int: return 0 \ # E: Argument 1 of "f" is incompatible with supertype "I"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides def g(self, x: str) -> int: return 0 \ # E: Return type "int" of "g" incompatible with return type "str" in supertype "J" def h(self) -> int: return 0 # Not related to any base class [out] [case testImplementingAbstractMethodWithExtension] from abc import abstractmethod, ABCMeta import typing class J(metaclass=ABCMeta): @abstractmethod def f(self, x: int) -> int: pass class I(J): pass class A(I): def f(self, x: str) -> int: return 0 \ # E: Argument 1 of "f" is incompatible with supertype "J"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [out] [case testInvalidOverridingAbstractMethod] from abc import abstractmethod, ABCMeta import typing class J(metaclass=ABCMeta): @abstractmethod def f(self, x: 'J') -> None: pass class I(J): @abstractmethod def f(self, x: 'I') -> None: pass # E: Argument 1 of "f" is incompatible with supertype "J"; supertype defines the argument type as "J" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [out] [case testAbstractClassCoAndContraVariance] from abc import abstractmethod, ABCMeta import typing class I(metaclass=ABCMeta): @abstractmethod def f(self, a: A) -> 'I': pass @abstractmethod def g(self, a: A) -> 'I': pass @abstractmethod def h(self, a: 'I') -> A: pass class A(I): def h(self, a: 'A') -> 'I': # Fail return A() def f(self, a: 'I') -> 'I': return A() def g(self, a: 'A') -> 'A': return A() [out] main:11: error: Return type "I" of "h" incompatible with return type "A" in supertype "I" main:11: error: Argument 1 of "h" is incompatible with supertype "I"; supertype defines the argument type as "I" main:11: note: This violates the Liskov substitution principle main:11: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides -- Accessing abstract members -- -------------------------- [case testAccessingAbstractMethod] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): @abstractmethod def f(self, a: int) -> str: pass i: I a: int b: str if int(): a = i.f(a) # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): b = i.f(b) # E: Argument 1 to "f" of "I" has incompatible type "str"; expected "int" i.g() # E: "I" has no attribute "g" if int(): b = i.f(a) [builtins fixtures/tuple.pyi] [case testAccessingInheritedAbstractMethod] from abc import abstractmethod, ABCMeta class J(metaclass=ABCMeta): @abstractmethod def f(self, a: int) -> str: pass class I(J): pass i: I a: int b: str if int(): a = i.f(1) # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): b = i.f(1) -- Any (dynamic) types -- ------------------- [builtins fixtures/tuple.pyi] [case testAbstractClassWithAllDynamicTypes] from abc import abstractmethod, ABCMeta import typing class I(metaclass=ABCMeta): @abstractmethod def f(self, x): pass @abstractmethod def g(self, x): pass class A(I): def f(self, x): pass def g(self, x, y) -> None: pass # Fail [out] main:10: error: Signature of "g" incompatible with supertype "I" main:10: note: Superclass: main:10: note: def g(self, x: Any) -> Any main:10: note: Subclass: main:10: note: def g(self, x: Any, y: Any) -> None [case testAbstractClassWithAllDynamicTypes2] from abc import abstractmethod, ABCMeta import typing class I(metaclass=ABCMeta): @abstractmethod def f(self, x): pass @abstractmethod def g(self, x): pass class A(I): def f(self, x): pass def g(self, x, y): pass [out] [case testAbstractClassWithImplementationUsingDynamicTypes] from abc import abstractmethod, ABCMeta import typing class I(metaclass=ABCMeta): @abstractmethod def f(self, x: int) -> None: pass @abstractmethod def g(self, x: int) -> None: pass class A(I): def f(self, x): pass def g(self, x, y): pass [out] -- Special cases -- ------------- [case testMultipleAbstractBases] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass class B(metaclass=ABCMeta): @abstractmethod def g(self) -> None: pass class C(A, B): @abstractmethod def h(self) -> None: pass [case testMemberAccessWithMultipleAbstractBaseClasses] from abc import abstractmethod, ABCMeta class A(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass class B(metaclass=ABCMeta): @abstractmethod def g(self) -> None: pass class C(A, B): pass x: C x.f() x.g() x.f(x) # E: Too many arguments for "f" of "A" x.g(x) # E: Too many arguments for "g" of "B" [case testInstantiatingAbstractClassWithMultipleBaseClasses] from abc import abstractmethod, ABCMeta class A(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass class B(metaclass=ABCMeta): @abstractmethod def g(self) -> None: pass class C(A, B): def f(self) -> None: pass class D(A, B): def g(self) -> None: pass class E(A, B): def f(self) -> None: pass def g(self) -> None: pass C() # E: Cannot instantiate abstract class "C" with abstract attribute "g" D() # E: Cannot instantiate abstract class "D" with abstract attribute "f" E() [case testInconsistentMro] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): pass class B(object, A, metaclass=ABCMeta): # E: Cannot determine consistent method resolution order (MRO) for "B" pass class C(object, A): # E: Cannot determine consistent method resolution order (MRO) for "C" \ # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases pass [case testOverloadedAbstractMethod] from foo import * [file foo.pyi] from abc import abstractmethod, ABCMeta from typing import overload class A(metaclass=ABCMeta): @abstractmethod @overload def f(self, x: int) -> int: pass @abstractmethod @overload def f(self, x: str) -> str: pass class B(A): @overload def f(self, x: int) -> int: pass @overload def f(self, x: str) -> str: pass A() # E: Cannot instantiate abstract class "A" with abstract attribute "f" B() B().f(1) a = B() # type: A a.f(1) a.f('') a.f(B()) # E: No overload variant of "f" of "A" matches argument type "B" \ # N: Possible overload variants: \ # N: def f(self, x: int) -> int \ # N: def f(self, x: str) -> str [case testOverloadedAbstractMethodWithAlternativeDecoratorOrder] from foo import * [file foo.pyi] from abc import abstractmethod, ABCMeta from typing import overload class A(metaclass=ABCMeta): @overload @abstractmethod def f(self, x: int) -> int: pass @overload @abstractmethod def f(self, x: str) -> str: pass class B(A): @overload def f(self, x: int) -> int: pass @overload def f(self, x: str) -> str: pass A() # E: Cannot instantiate abstract class "A" with abstract attribute "f" B() B().f(1) a = B() # type: A a.f(1) a.f('') a.f(B()) # E: No overload variant of "f" of "A" matches argument type "B" \ # N: Possible overload variants: \ # N: def f(self, x: int) -> int \ # N: def f(self, x: str) -> str [case testOverloadedAbstractMethodVariantMissingDecorator0] from foo import * [file foo.pyi] from abc import abstractmethod, ABCMeta from typing import overload class A(metaclass=ABCMeta): @abstractmethod \ # E: Overloaded method has both abstract and non-abstract variants @overload def f(self, x: int) -> int: pass @overload def f(self, x: str) -> str: pass [out] [case testOverloadedAbstractMethodVariantMissingDecorator1] from foo import * [file foo.pyi] from abc import abstractmethod, ABCMeta from typing import overload class A(metaclass=ABCMeta): @overload \ # E: Overloaded method has both abstract and non-abstract variants def f(self, x: int) -> int: pass @abstractmethod @overload def f(self, x: str) -> str: pass [out] [case testMultipleInheritanceAndAbstractMethod] import typing from abc import abstractmethod, ABCMeta class A: def f(self, x: str) -> None: pass class B(metaclass=ABCMeta): @abstractmethod def f(self, x: str) -> None: pass class C(A, B): pass [case testMultipleInheritanceAndAbstractMethod2] import typing from abc import abstractmethod, ABCMeta class A: def f(self, x: str) -> None: pass class B(metaclass=ABCMeta): @abstractmethod def f(self, x: int) -> None: pass class C(A, B): pass [out] main:8: error: Definition of "f" in base class "A" is incompatible with definition in base class "B" [case testCallAbstractMethodBeforeDefinition] import typing from abc import abstractmethod, ABCMeta class A(metaclass=ABCMeta): def f(self) -> None: self.g(1) # E: Argument 1 to "g" of "A" has incompatible type "int"; expected "str" @abstractmethod def g(self, x: str) -> None: pass [out] [case testAbstractOperatorMethods1] import typing from abc import abstractmethod, ABCMeta class A(metaclass=ABCMeta): @abstractmethod def __lt__(self, other: 'A') -> int: pass @abstractmethod def __gt__(self, other: 'A') -> int: pass [case testAbstractOperatorMethods2] from typing import cast, Any from abc import abstractmethod, ABCMeta class A(metaclass=ABCMeta): @abstractmethod def __radd__(self, other: 'C') -> str: pass # Error class B: @abstractmethod def __add__(self, other: 'A') -> int: pass class C: def __add__(self, other: int) -> B: return cast(Any, None) [out] [case testAbstractClassWithAnyBase] from typing import Any from abc import abstractmethod, ABCMeta A: Any class D(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass class C(A, D): pass C() # A might implement 'f' -- Abstract properties -- ------------------- [case testReadOnlyAbstractProperty] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass def f(a: A) -> None: a.x() # E: "int" not callable a.x = 1 # E: Property "x" defined in "A" is read-only [out] [case testReadOnlyAbstractPropertyForwardRef] from abc import abstractproperty, ABCMeta def f(a: A) -> None: a.x() # E: "int" not callable a.x = 1 # E: Property "x" defined in "A" is read-only class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass [out] [case testReadWriteAbstractProperty] from abc import abstractproperty, ABCMeta def f(a: A) -> None: a.x.y # E: "int" has no attribute "y" a.x = 1 class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass @x.setter def x(self, x: int) -> None: pass [case testReadWriteDeleteAbstractProperty] # flags: --no-strict-optional from abc import ABC, abstractmethod class Abstract(ABC): @property @abstractmethod def prop(self) -> str: ... @prop.setter @abstractmethod def prop(self, code: str) -> None: ... @prop.deleter @abstractmethod def prop(self) -> None: ... class Good(Abstract): @property def prop(self) -> str: ... @prop.setter def prop(self, code: str) -> None: ... @prop.deleter def prop(self) -> None: ... class Bad1(Abstract): @property # E: Read-only property cannot override read-write property def prop(self) -> str: ... class ThisShouldProbablyError(Abstract): @property def prop(self) -> str: ... @prop.setter def prop(self, code: str) -> None: ... a = Good() reveal_type(a.prop) # N: Revealed type is "builtins.str" a.prop = 123 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/property.pyi] [case testInstantiateClassWithReadOnlyAbstractProperty] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass class B(A): pass b = B() # E: Cannot instantiate abstract class "B" with abstract attribute "x" [case testInstantiateClassWithReadWriteAbstractProperty] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass @x.setter def x(self, x: int) -> None: pass class B(A): pass b = B() # E: Cannot instantiate abstract class "B" with abstract attribute "x" [case testImplementAbstractPropertyViaProperty] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass class B(A): @property def x(self) -> int: return 0 b = B() b.x() # E: "int" not callable [builtins fixtures/property.pyi] [case testImplementReadWriteAbstractPropertyViaProperty] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass @x.setter def x(self, v: int) -> None: pass class B(A): @property def x(self) -> int: return 0 @x.setter def x(self, v: int) -> None: pass b = B() b.x.y # E: "int" has no attribute "y" [builtins fixtures/property.pyi] [case testImplementAbstractPropertyViaPropertyInvalidType] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass class B(A): @property def x(self) -> str: return "no" # E: Signature of "x" incompatible with supertype "A" \ # N: Superclass: \ # N: int \ # N: Subclass: \ # N: str b = B() b.x() # E: "str" not callable [builtins fixtures/property.pyi] [case testCantImplementAbstractPropertyViaInstanceVariable] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass class B(A): def __init__(self) -> None: self.x = 1 # E b = B() # E b.x.y # E [builtins fixtures/property.pyi] [out] main:7: error: Property "x" defined in "A" is read-only main:8: error: Cannot instantiate abstract class "B" with abstract attribute "x" main:9: error: "int" has no attribute "y" [case testSuperWithAbstractProperty] # flags: --no-strict-optional from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass class B(A): @property def x(self) -> int: return super().x.y # E: Call to abstract method "x" of "A" with trivial body via super() is unsafe \ # E: "int" has no attribute "y" [builtins fixtures/property.pyi] [case testSuperWithReadWriteAbstractProperty] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass @x.setter def x(self, v: int) -> None: pass class B(A): @property def x(self) -> int: return super().x.y # E @x.setter def x(self, v: int) -> None: super().x = '' # E [builtins fixtures/property.pyi] [out] main:10: error: "int" has no attribute "y" main:13: error: Invalid assignment target [case testOnlyImplementGetterOfReadWriteAbstractProperty] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass @x.setter def x(self, v: int) -> None: pass class B(A): @property # E def x(self) -> int: return 0 b = B() b.x.y # E [builtins fixtures/property.pyi] [out] main:8: error: Read-only property cannot override read-write property main:11: error: "int" has no attribute "y" [case testDynamicallyTypedReadOnlyAbstractProperty] from abc import abstractproperty, ABCMeta class A(metaclass=ABCMeta): @abstractproperty def x(self): pass def f(a: A) -> None: a.x.y a.x = 1 # E: Property "x" defined in "A" is read-only [out] [case testDynamicallyTypedReadOnlyAbstractPropertyForwardRef] from abc import abstractproperty, ABCMeta def f(a: A) -> None: a.x.y a.x = 1 # E: Property "x" defined in "A" is read-only class A(metaclass=ABCMeta): @abstractproperty def x(self): pass [out] [case testDynamicallyTypedReadWriteAbstractProperty] from abc import abstractproperty, ABCMeta def f(a: A) -> None: a.x.y a.x = 1 class A(metaclass=ABCMeta): @abstractproperty def x(self): pass @x.setter def x(self, x): pass [out] [case testMixinTypedAbstractProperty] from abc import ABCMeta, abstractproperty class A(metaclass=ABCMeta): @abstractproperty def foo(cls) -> str: pass class Mixin: foo = "foo" class C(Mixin, A): pass [out] [case testMixinTypedProperty] class A: @property def foo(cls) -> str: return "yes" class Mixin: foo = "foo" class C(Mixin, A): pass [builtins fixtures/property.pyi] [case testMixinSubtypedProperty] class X: pass class Y(X): pass class A: @property def foo(cls) -> X: return X() class Mixin: foo = Y() class C(Mixin, A): pass [builtins fixtures/property.pyi] [case testMixinTypedPropertyReversed] class A: @property def foo(cls) -> str: return "no" class Mixin: foo = "foo" class C(A, Mixin): # E: Cannot override writeable attribute "foo" in base "Mixin" with read-only property in base "A" pass [builtins fixtures/property.pyi] -- Special cases -- ------------- [case testNestedAbstractClass] from abc import abstractmethod, ABCMeta class A: class B(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass class C(B): pass A.B() # E: Cannot instantiate abstract class "B" with abstract attribute "f" A.C() # E: Cannot instantiate abstract class "C" with abstract attribute "f" [case testAbstractNewTypeAllowed] from typing import NewType, Mapping Config = NewType('Config', Mapping[str, str]) bad = Mapping[str, str]() # E: Cannot instantiate abstract class "Mapping" with abstract attribute "__iter__" default = Config({'cannot': 'modify'}) # OK default[1] = 2 # E: Unsupported target for indexed assignment ("Config") [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testSubclassOfABCFromDictionary] from abc import abstractmethod, ABCMeta class MyAbstractType(metaclass=ABCMeta): @abstractmethod def do(self): pass class MyConcreteA(MyAbstractType): def do(self): print('A') class MyConcreteB(MyAbstractType): def do(self): print('B') class MyAbstractA(MyAbstractType): @abstractmethod def do(self): pass class MyAbstractB(MyAbstractType): @abstractmethod def do(self): pass my_concrete_types = { 'A': MyConcreteA, 'B': MyConcreteB, } my_abstract_types = { 'A': MyAbstractA, 'B': MyAbstractB, } reveal_type(my_concrete_types) # N: Revealed type is "builtins.dict[builtins.str, def () -> __main__.MyAbstractType]" reveal_type(my_abstract_types) # N: Revealed type is "builtins.dict[builtins.str, def () -> __main__.MyAbstractType]" a = my_concrete_types['A']() a.do() b = my_concrete_types['B']() b.do() c = my_abstract_types['A']() # E: Cannot instantiate abstract class "MyAbstractType" with abstract attribute "do" c.do() d = my_abstract_types['B']() # E: Cannot instantiate abstract class "MyAbstractType" with abstract attribute "do" d.do() [builtins fixtures/dict.pyi] [case testAbstractClassesWorkWithGenericDecorators] from abc import abstractmethod, ABCMeta from typing import Type, TypeVar T = TypeVar("T") def deco(cls: Type[T]) -> Type[T]: return cls @deco class A(metaclass=ABCMeta): @abstractmethod def foo(self, x: int) -> None: ... [case testAbstractPropertiesAllowed] from abc import abstractmethod class B: @property @abstractmethod def x(self) -> int: ... @property @abstractmethod def y(self) -> int: ... @y.setter @abstractmethod def y(self, value: int) -> None: ... B() # E: Cannot instantiate abstract class "B" with abstract attributes "x" and "y" b: B b.x = 1 # E: Property "x" defined in "B" is read-only b.y = 1 [builtins fixtures/property.pyi] -- Treatment of empty bodies in ABCs and protocols -- ----------------------------------------------- [case testEmptyBodyProhibitedFunction] from typing import overload, Union def func1(x: str) -> int: pass # E: Missing return statement def func2(x: str) -> int: ... # E: Missing return statement def func3(x: str) -> int: # E: Missing return statement """Some function.""" @overload def func4(x: int) -> int: ... @overload def func4(x: str) -> str: ... def func4(x: Union[int, str]) -> Union[int, str]: # E: Missing return statement pass @overload def func5(x: int) -> int: ... @overload def func5(x: str) -> str: ... def func5(x: Union[int, str]) -> Union[int, str]: # E: Missing return statement """Some function.""" [case testEmptyBodyProhibitedMethodNonAbstract] from typing import overload, Union class A: def func1(self, x: str) -> int: pass # E: Missing return statement def func2(self, x: str) -> int: ... # E: Missing return statement def func3(self, x: str) -> int: # E: Missing return statement """Some function.""" class B: @classmethod def func1(cls, x: str) -> int: pass # E: Missing return statement @classmethod def func2(cls, x: str) -> int: ... # E: Missing return statement @classmethod def func3(cls, x: str) -> int: # E: Missing return statement """Some function.""" class C: @overload def func4(self, x: int) -> int: ... @overload def func4(self, x: str) -> str: ... def func4(self, x: Union[int, str]) -> Union[int, str]: # E: Missing return statement pass @overload def func5(self, x: int) -> int: ... @overload def func5(self, x: str) -> str: ... def func5(self, x: Union[int, str]) -> Union[int, str]: # E: Missing return statement """Some function.""" [builtins fixtures/classmethod.pyi] [case testEmptyBodyProhibitedPropertyNonAbstract] class A: @property def x(self) -> int: ... # E: Missing return statement @property def y(self) -> int: ... # E: Missing return statement @y.setter def y(self, value: int) -> None: ... class B: @property def x(self) -> int: pass # E: Missing return statement @property def y(self) -> int: pass # E: Missing return statement @y.setter def y(self, value: int) -> None: pass class C: @property def x(self) -> int: # E: Missing return statement """Some property.""" @property def y(self) -> int: # E: Missing return statement """Some property.""" @y.setter def y(self, value: int) -> None: pass [builtins fixtures/property.pyi] [case testEmptyBodyNoteABCMeta] from abc import ABC class A(ABC): def foo(self) -> int: # E: Missing return statement \ # N: If the method is meant to be abstract, use @abc.abstractmethod ... [case testEmptyBodyAllowedFunctionStub] import stub [file stub.pyi] from typing import overload, Union def func1(x: str) -> int: pass def func2(x: str) -> int: ... def func3(x: str) -> int: """Some function.""" [case testEmptyBodyAllowedMethodNonAbstractStub] import stub [file stub.pyi] from typing import overload, Union class A: def func1(self, x: str) -> int: pass def func2(self, x: str) -> int: ... def func3(self, x: str) -> int: """Some function.""" class B: @classmethod def func1(cls, x: str) -> int: pass @classmethod def func2(cls, x: str) -> int: ... @classmethod def func3(cls, x: str) -> int: """Some function.""" [builtins fixtures/classmethod.pyi] [case testEmptyBodyAllowedPropertyNonAbstractStub] import stub [file stub.pyi] class A: @property def x(self) -> int: ... @property def y(self) -> int: ... @y.setter def y(self, value: int) -> None: ... class B: @property def x(self) -> int: pass @property def y(self) -> int: pass @y.setter def y(self, value: int) -> None: pass class C: @property def x(self) -> int: """Some property.""" @property def y(self) -> int: """Some property.""" @y.setter def y(self, value: int) -> None: pass [builtins fixtures/property.pyi] [case testEmptyBodyAllowedMethodAbstract] from typing import overload, Union from abc import abstractmethod class A: @abstractmethod def func1(self, x: str) -> int: pass @abstractmethod def func2(self, x: str) -> int: ... @abstractmethod def func3(self, x: str) -> int: """Some function.""" class B: @classmethod @abstractmethod def func1(cls, x: str) -> int: pass @classmethod @abstractmethod def func2(cls, x: str) -> int: ... @classmethod @abstractmethod def func3(cls, x: str) -> int: """Some function.""" class C: @overload @abstractmethod def func4(self, x: int) -> int: ... @overload @abstractmethod def func4(self, x: str) -> str: ... @abstractmethod def func4(self, x: Union[int, str]) -> Union[int, str]: pass @overload @abstractmethod def func5(self, x: int) -> int: ... @overload @abstractmethod def func5(self, x: str) -> str: ... @abstractmethod def func5(self, x: Union[int, str]) -> Union[int, str]: """Some function.""" [builtins fixtures/classmethod.pyi] [case testEmptyBodyAllowedPropertyAbstract] from abc import abstractmethod class A: @property @abstractmethod def x(self) -> int: ... @property @abstractmethod def y(self) -> int: ... @y.setter @abstractmethod def y(self, value: int) -> None: ... class B: @property @abstractmethod def x(self) -> int: pass @property @abstractmethod def y(self) -> int: pass @y.setter @abstractmethod def y(self, value: int) -> None: pass class C: @property @abstractmethod def x(self) -> int: """Some property.""" @property @abstractmethod def y(self) -> int: """Some property.""" @y.setter @abstractmethod def y(self, value: int) -> None: pass [builtins fixtures/property.pyi] [case testEmptyBodyImplicitlyAbstractProtocol] from typing import Protocol, overload, Union class P1(Protocol): def meth(self) -> int: ... class B1(P1): ... class C1(P1): def meth(self) -> int: return 0 B1() # E: Cannot instantiate abstract class "B1" with abstract attribute "meth" C1() class P2(Protocol): @classmethod def meth(cls) -> int: ... class B2(P2): ... class C2(P2): @classmethod def meth(cls) -> int: return 0 B2() # E: Cannot instantiate abstract class "B2" with abstract attribute "meth" C2() class P3(Protocol): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... class B3(P3): ... class C3(P3): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... def meth(self, x: Union[int, str]) -> Union[int, str]: return 0 B3() # E: Cannot instantiate abstract class "B3" with abstract attribute "meth" C3() [builtins fixtures/classmethod.pyi] [case testEmptyBodyImplicitlyAbstractProtocolProperty] from typing import Protocol class P1(Protocol): @property def attr(self) -> int: ... class B1(P1): ... class C1(P1): @property def attr(self) -> int: return 0 B1() # E: Cannot instantiate abstract class "B1" with abstract attribute "attr" C1() class P2(Protocol): @property def attr(self) -> int: ... @attr.setter def attr(self, value: int) -> None: ... class B2(P2): ... class C2(P2): @property def attr(self) -> int: return 0 @attr.setter def attr(self, value: int) -> None: pass B2() # E: Cannot instantiate abstract class "B2" with abstract attribute "attr" C2() [builtins fixtures/property.pyi] [case testEmptyBodyImplicitlyAbstractProtocolStub] from stub import P1, P2, P3, P4 class B1(P1): ... class B2(P2): ... class B3(P3): ... class B4(P4): ... B1() B2() B3() B4() # E: Cannot instantiate abstract class "B4" with abstract attribute "meth" [file stub.pyi] from typing import Protocol, overload, Union from abc import abstractmethod class P1(Protocol): def meth(self) -> int: ... class P2(Protocol): @classmethod def meth(cls) -> int: ... class P3(Protocol): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... class P4(Protocol): @abstractmethod def meth(self) -> int: ... [builtins fixtures/classmethod.pyi] [case testEmptyBodyUnsafeAbstractSuper] from stub import StubProto, StubAbstract from typing import Protocol from abc import abstractmethod class Proto(Protocol): def meth(self) -> int: ... class ProtoDef(Protocol): def meth(self) -> int: return 0 class Abstract: @abstractmethod def meth(self) -> int: ... class AbstractDef: @abstractmethod def meth(self) -> int: return 0 class SubProto(Proto): def meth(self) -> int: return super().meth() # E: Call to abstract method "meth" of "Proto" with trivial body via super() is unsafe class SubProtoDef(ProtoDef): def meth(self) -> int: return super().meth() class SubAbstract(Abstract): def meth(self) -> int: return super().meth() # E: Call to abstract method "meth" of "Abstract" with trivial body via super() is unsafe class SubAbstractDef(AbstractDef): def meth(self) -> int: return super().meth() class SubStubProto(StubProto): def meth(self) -> int: return super().meth() class SubStubAbstract(StubAbstract): def meth(self) -> int: return super().meth() [file stub.pyi] from typing import Protocol from abc import abstractmethod class StubProto(Protocol): def meth(self) -> int: ... class StubAbstract: @abstractmethod def meth(self) -> int: ... [case testEmptyBodyUnsafeAbstractSuperProperty] from stub import StubProto, StubAbstract from typing import Protocol from abc import abstractmethod class Proto(Protocol): @property def attr(self) -> int: ... class SubProto(Proto): @property def attr(self) -> int: return super().attr # E: Call to abstract method "attr" of "Proto" with trivial body via super() is unsafe class ProtoDef(Protocol): @property def attr(self) -> int: return 0 class SubProtoDef(ProtoDef): @property def attr(self) -> int: return super().attr class Abstract: @property @abstractmethod def attr(self) -> int: ... class SubAbstract(Abstract): @property @abstractmethod def attr(self) -> int: return super().attr # E: Call to abstract method "attr" of "Abstract" with trivial body via super() is unsafe class AbstractDef: @property @abstractmethod def attr(self) -> int: return 0 class SubAbstractDef(AbstractDef): @property @abstractmethod def attr(self) -> int: return super().attr class SubStubProto(StubProto): @property def attr(self) -> int: return super().attr class SubStubAbstract(StubAbstract): @property def attr(self) -> int: return super().attr [file stub.pyi] from typing import Protocol from abc import abstractmethod class StubProto(Protocol): @property def attr(self) -> int: ... class StubAbstract: @property @abstractmethod def attr(self) -> int: ... [builtins fixtures/property.pyi] [case testEmptyBodyUnsafeAbstractSuperOverloads] from stub import StubProto from typing import Protocol, overload, Union class ProtoEmptyImpl(Protocol): @overload def meth(self, x: str) -> str: ... @overload def meth(self, x: int) -> int: ... def meth(self, x: Union[int, str]) -> Union[int, str]: raise NotImplementedError class ProtoDefImpl(Protocol): @overload def meth(self, x: str) -> str: ... @overload def meth(self, x: int) -> int: ... def meth(self, x: Union[int, str]) -> Union[int, str]: return 0 class ProtoNoImpl(Protocol): @overload def meth(self, x: str) -> str: ... @overload def meth(self, x: int) -> int: ... class SubProtoEmptyImpl(ProtoEmptyImpl): @overload def meth(self, x: str) -> str: ... @overload def meth(self, x: int) -> int: ... def meth(self, x: Union[int, str]) -> Union[int, str]: return super().meth(0) # E: Call to abstract method "meth" of "ProtoEmptyImpl" with trivial body via super() is unsafe class SubProtoDefImpl(ProtoDefImpl): @overload def meth(self, x: str) -> str: ... @overload def meth(self, x: int) -> int: ... def meth(self, x: Union[int, str]) -> Union[int, str]: return super().meth(0) class SubStubProto(StubProto): @overload def meth(self, x: str) -> str: ... @overload def meth(self, x: int) -> int: ... def meth(self, x: Union[int, str]) -> Union[int, str]: return super().meth(0) # TODO: it would be good to also give an error in this case. class SubProtoNoImpl(ProtoNoImpl): @overload def meth(self, x: str) -> str: ... @overload def meth(self, x: int) -> int: ... def meth(self, x: Union[int, str]) -> Union[int, str]: return super().meth(0) [file stub.pyi] from typing import Protocol, overload class StubProto(Protocol): @overload def meth(self, x: str) -> str: ... @overload def meth(self, x: int) -> int: ... [builtins fixtures/exception.pyi] [case testEmptyBodyNoSuperWarningWithoutStrict] # flags: --no-strict-optional from typing import Protocol from abc import abstractmethod class Proto(Protocol): def meth(self) -> int: ... class Abstract: @abstractmethod def meth(self) -> int: ... class SubProto(Proto): def meth(self) -> int: return super().meth() # E: Call to abstract method "meth" of "Proto" with trivial body via super() is unsafe class SubAbstract(Abstract): def meth(self) -> int: return super().meth() # E: Call to abstract method "meth" of "Abstract" with trivial body via super() is unsafe [case testEmptyBodyNoSuperWarningOptionalReturn] from typing import Protocol, Optional from abc import abstractmethod class Proto(Protocol): def meth(self) -> Optional[int]: pass class Abstract: @abstractmethod def meth(self) -> Optional[int]: pass class SubProto(Proto): def meth(self) -> Optional[int]: return super().meth() # E: Call to abstract method "meth" of "Proto" with trivial body via super() is unsafe class SubAbstract(Abstract): def meth(self) -> Optional[int]: return super().meth() # E: Call to abstract method "meth" of "Abstract" with trivial body via super() is unsafe [case testEmptyBodyTypeCheckingOnly] from typing import TYPE_CHECKING class C: if TYPE_CHECKING: def dynamic(self) -> int: ... # OK ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-annotated.test0000644000175100017510000001174215112307767021062 0ustar00runnerrunner[case testAnnotated0] from typing_extensions import Annotated x: Annotated[int, ...] reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testAnnotated1] from typing import Union from typing_extensions import Annotated x: Annotated[Union[int, str], ...] reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testAnnotated2] from typing_extensions import Annotated x: Annotated[int, THESE, ARE, IGNORED, FOR, NOW] reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testAnnotated3] from typing_extensions import Annotated x: Annotated[int, -+~12.3, "som"[e], more(anno+a+ions, that=[are]), (b"ignored",), 4, N.O.W, ...] reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testAnnotatedBadType] from typing_extensions import Annotated x: Annotated[XXX, ...] # E: Name "XXX" is not defined reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testAnnotatedBadNoArgs] from typing_extensions import Annotated x: Annotated # E: Annotated[...] must have exactly one type argument and at least one annotation reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testAnnotatedBadOneArg] from typing_extensions import Annotated x: Annotated[int] # E: Annotated[...] must have exactly one type argument and at least one annotation reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testAnnotatedNested0] from typing_extensions import Annotated x: Annotated[Annotated[int, ...], ...] reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testAnnotatedNested1] from typing import Union from typing_extensions import Annotated x: Annotated[Annotated[Union[int, str], ...], ...] reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testAnnotatedNestedBadType] from typing_extensions import Annotated x: Annotated[Annotated[XXX, ...], ...] # E: Name "XXX" is not defined reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testAnnotatedNestedBadNoArgs] from typing_extensions import Annotated x: Annotated[Annotated, ...] # E: Annotated[...] must have exactly one type argument and at least one annotation reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testAnnotatedNestedBadOneArg] from typing_extensions import Annotated x: Annotated[Annotated[int], ...] # E: Annotated[...] must have exactly one type argument and at least one annotation reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testAnnotatedNoImport] x: Annotated[int, ...] # E: Name "Annotated" is not defined reveal_type(x) # N: Revealed type is "Any" [case testAnnotatedDifferentName] from typing_extensions import Annotated as An x: An[int, ...] reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testAnnotatedAliasSimple] from typing import Tuple from typing_extensions import Annotated Alias = Annotated[Tuple[int, ...], ...] x: Alias reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [case testAnnotatedAliasTypeVar] from typing import TypeVar from typing_extensions import Annotated T = TypeVar('T') Alias = Annotated[T, ...] x: Alias[int] reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testAnnotatedAliasGenericTuple] from typing import TypeVar, Tuple from typing_extensions import Annotated T = TypeVar('T') Alias = Annotated[Tuple[T, T], ...] x: Alias[int] reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/tuple.pyi] [case testAnnotatedAliasGenericUnion] from typing import TypeVar, Union from typing_extensions import Annotated T = TypeVar('T') Alias = Annotated[Union[T, str], ...] x: Alias[int] reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testAnnotatedSecondParamNonType] from typing_extensions import Annotated class Meta: ... x = Annotated[int, Meta()] reveal_type(x) # N: Revealed type is "def () -> builtins.int" [builtins fixtures/tuple.pyi] [case testAnnotatedStringLiteralInFunc] from typing import TypeVar from typing_extensions import Annotated def f1(a: Annotated[str, "metadata"]): pass reveal_type(f1) # N: Revealed type is "def (a: builtins.str) -> Any" def f2(a: Annotated["str", "metadata"]): pass reveal_type(f2) # N: Revealed type is "def (a: builtins.str) -> Any" def f3(a: Annotated["notdefined", "metadata"]): # E: Name "notdefined" is not defined pass T = TypeVar('T') def f4(a: Annotated[T, "metadata"]): pass reveal_type(f4) # N: Revealed type is "def [T] (a: T`-1) -> Any" [builtins fixtures/tuple.pyi] [case testSliceAnnotated] from typing_extensions import Annotated a: Annotated[int, 1:2] reveal_type(a) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-assert-type-fail.test0000644000175100017510000000253015112307767022271 0ustar00runnerrunner[case testAssertTypeFail1] import typing import array as arr class array: pass def f(si: arr.array[int]): typing.assert_type(si, array) # E: Expression is of type "array.array[int]", not "__main__.array" [builtins fixtures/tuple.pyi] [case testAssertTypeFail2] import typing import array as arr class array: class array: i = 1 def f(si: arr.array[int]): typing.assert_type(si, array.array) # E: Expression is of type "array.array[int]", not "__main__.array.array" [builtins fixtures/tuple.pyi] [case testAssertTypeFail3] import typing import array as arr class array: class array: i = 1 def f(si: arr.array[int]): typing.assert_type(si, int) # E: Expression is of type "array[int]", not "int" [builtins fixtures/tuple.pyi] [case testAssertTypeFailCallableArgKind] from typing import assert_type, Callable def myfunc(arg: int) -> None: pass assert_type(myfunc, Callable[[int], None]) # E: Expression is of type "def myfunc(arg: int) -> None", not "Callable[[int], None]" [case testAssertTypeOverload] from typing import assert_type, overload class Foo: @overload def __new__(cls, x: int) -> Foo: ... @overload def __new__(cls, x: str) -> Foo: ... def __new__(cls, x: "int | str") -> Foo: return cls(0) assert_type(Foo, type[Foo]) A = Foo assert_type(A, type[Foo]) [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-async-await.test0000644000175100017510000007714115112307767021332 0ustar00runnerrunner-- Tests for async def and await (PEP 492) -- --------------------------------------- [case testAsyncDefPass] async def f() -> int: pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncDefReturn] async def f() -> int: return 0 _ = reveal_type(f()) # N: Revealed type is "typing.Coroutine[Any, Any, builtins.int]" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncDefMissingReturn] # flags: --warn-no-return async def f() -> int: make_this_not_trivial = 1 [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:2: error: Missing return statement [case testAsyncDefReturnWithoutValue] async def f() -> int: make_this_not_trivial = 1 return [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:4: error: Return value expected [case testAwaitCoroutine] async def f() -> int: x = await f() reveal_type(x) # N: Revealed type is "builtins.int" return x [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] [case testAwaitDefaultContext] from typing import TypeVar T = TypeVar('T') async def f(x: T) -> T: y = await f(x) reveal_type(y) return y [typing fixtures/typing-async.pyi] [out] main:6: note: Revealed type is "T`-1" [case testAwaitAnyContext] from typing import Any, TypeVar T = TypeVar('T') async def f(x: T) -> T: y = await f(x) # type: Any reveal_type(y) return y [typing fixtures/typing-async.pyi] [out] main:6: note: Revealed type is "Any" [case testAwaitExplicitContext] from typing import TypeVar T = TypeVar('T') async def f(x: T) -> T: y = await f(x) # type: int reveal_type(y) return x [typing fixtures/typing-async.pyi] [out] main:5: error: Argument 1 to "f" has incompatible type "T"; expected "int" main:6: note: Revealed type is "builtins.int" [case testAwaitGeneratorError] from typing import Any, Generator def g() -> Generator[int, None, str]: yield 0 return '' async def f() -> int: x = await g() return x [typing fixtures/typing-async.pyi] [out] main:7: error: Incompatible types in "await" (actual type "Generator[int, None, str]", expected type "Awaitable[Any]") [case testAwaitIteratorError] from typing import Any, Iterator def g() -> Iterator[Any]: yield async def f() -> int: x = await g() return x [typing fixtures/typing-async.pyi] [out] main:6: error: Incompatible types in "await" (actual type "Iterator[Any]", expected type "Awaitable[Any]") [case testAwaitArgumentError] def g() -> int: return 0 async def f() -> int: x = await g() return x [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:5: error: Incompatible types in "await" (actual type "int", expected type "Awaitable[Any]") [case testAwaitResultError] async def g() -> int: return 0 async def f() -> str: x = await g() # type: str return x [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:5: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAwaitReturnError] async def g() -> int: return 0 async def f() -> str: x = await g() return x [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:6: error: Incompatible return value type (got "int", expected "str") [case testAsyncFor] from typing import AsyncIterator class C(AsyncIterator[int]): async def __anext__(self) -> int: return 0 async def f() -> None: async for x in C(): reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncForError] from typing import AsyncIterator async def f() -> None: async for x in [1]: pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:4: error: "list[int]" has no attribute "__aiter__" (not async iterable) [case testAsyncForErrorNote] from typing import AsyncIterator, AsyncGenerator async def g() -> AsyncGenerator[str, None]: pass async def f() -> None: async for x in g(): pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:7: error: "Coroutine[Any, Any, AsyncGenerator[str, None]]" has no attribute "__aiter__" (not async iterable) main:7: note: Maybe you forgot to use "await"? [case testAsyncForErrorCanBeIgnored] from typing import AsyncIterator, AsyncGenerator async def g() -> AsyncGenerator[str, None]: pass async def f() -> None: async for x in g(): # type: ignore[attr-defined] pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncForTypeComments] from typing import AsyncIterator, Union class C(AsyncIterator[int]): async def __anext__(self) -> int: return 0 async def f() -> None: async for x in C(): # type: str # E: Incompatible types in assignment (expression has type "int", variable has type "str") pass async for y in C(): # type: int pass async for z in C(): # type: Union[int, str] reveal_type(z) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncForComprehension] from typing import Generic, Iterable, TypeVar, AsyncIterator, Tuple T = TypeVar('T') class asyncify(Generic[T], AsyncIterator[T]): def __init__(self, iterable: Iterable[T]) -> None: self.iterable = iter(iterable) def __aiter__(self) -> AsyncIterator[T]: return self async def __anext__(self) -> T: try: return next(self.iterable) except StopIteration: raise StopAsyncIteration async def listcomp(obj: Iterable[int]): lst = [i async for i in asyncify(obj)] reveal_type(lst) # N: Revealed type is "builtins.list[builtins.int]" lst2 = [i async for i in asyncify(obj) for j in obj] reveal_type(lst2) # N: Revealed type is "builtins.list[builtins.int]" async def setcomp(obj: Iterable[int]): lst = {i async for i in asyncify(obj)} reveal_type(lst) # N: Revealed type is "builtins.set[builtins.int]" async def dictcomp(obj: Iterable[Tuple[int, str]]): lst = {i: j async for i, j in asyncify(obj)} reveal_type(lst) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" async def generatorexp(obj: Iterable[int]): lst = (i async for i in asyncify(obj)) reveal_type(lst) # N: Revealed type is "typing.AsyncGenerator[builtins.int, None]" lst2 = (i async for i in asyncify(obj) for i in obj) reveal_type(lst2) # N: Revealed type is "typing.AsyncGenerator[builtins.int, None]" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncForComprehensionErrors] from typing import Generic, Iterable, TypeVar, AsyncIterator, Tuple T = TypeVar('T') class asyncify(Generic[T], AsyncIterator[T]): def __init__(self, iterable: Iterable[T]) -> None: self.iterable = iter(iterable) def __aiter__(self) -> AsyncIterator[T]: return self async def __anext__(self) -> T: try: return next(self.iterable) except StopIteration: raise StopAsyncIteration async def wrong_iterable(obj: Iterable[int]): [i async for i in obj] # E: "Iterable[int]" has no attribute "__aiter__" (not async iterable) [i for i in asyncify(obj)] # E: "asyncify[int]" has no attribute "__iter__"; maybe "__aiter__"? (not iterable) {i: i async for i in obj} # E: "Iterable[int]" has no attribute "__aiter__" (not async iterable) {i: i for i in asyncify(obj)} # E: "asyncify[int]" has no attribute "__iter__"; maybe "__aiter__"? (not iterable) [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncWith] class C: async def __aenter__(self) -> int: pass async def __aexit__(self, x, y, z) -> None: pass async def f() -> None: async with C() as x: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncWithError] class C: def __enter__(self) -> int: pass def __exit__(self, x, y, z) -> None: pass async def f() -> None: async with C() as x: pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:6: error: "C" has no attribute "__aenter__"; maybe "__enter__"? main:6: error: "C" has no attribute "__aexit__"; maybe "__exit__"? [case testAsyncWithErrorBadAenter] class C: def __aenter__(self) -> int: pass async def __aexit__(self, x, y, z) -> None: pass async def f() -> None: async with C() as x: # E: Incompatible types in "async with" for "__aenter__" (actual type "int", expected type "Awaitable[Any]") pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncWithErrorBadAenter2] # flags: --no-strict-optional class C: def __aenter__(self) -> None: pass async def __aexit__(self, x, y, z) -> None: pass async def f() -> None: async with C() as x: # E: "None" has no attribute "__await__" pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncWithErrorBadAexit] class C: async def __aenter__(self) -> int: pass def __aexit__(self, x, y, z) -> int: pass async def f() -> None: async with C() as x: # E: Incompatible types in "async with" for "__aexit__" (actual type "int", expected type "Awaitable[Any]") pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncWithErrorBadAexit2] # flags: --no-strict-optional class C: async def __aenter__(self) -> int: pass def __aexit__(self, x, y, z) -> None: pass async def f() -> None: async with C() as x: # E: "None" has no attribute "__await__" pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncWithTypeComments] class C: async def __aenter__(self) -> int: pass async def __aexit__(self, x, y, z) -> None: pass async def f() -> None: async with C() as x: # type: int pass async with C() as y, C() as z: # type: str, int # E: Incompatible types in assignment (expression has type "int", variable has type "str") pass async with C() as a: # type: int, int # E: Syntax error in type annotation # N: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testNoYieldFromInAsyncDef] async def f(): yield from [] async def g(): x = yield from [] [builtins fixtures/async_await.pyi] [out] main:3: error: "yield from" in async function main:5: error: "yield from" in async function [case testYieldFromNoAwaitable] from typing import Any, Generator async def f() -> str: return '' def g() -> Generator[Any, None, str]: x = yield from f() return x [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] main:6: error: "yield from" can't be applied to "Coroutine[Any, Any, str]" [case testAwaitableSubclass] from typing import Any, AsyncIterator, Awaitable, Generator class A(Awaitable[int]): def __await__(self) -> Generator[Any, None, int]: yield return 0 class C: def __aenter__(self) -> A: return A() def __aexit__(self, *a) -> A: return A() class I(AsyncIterator[int]): def __aiter__(self) -> 'I': return self def __anext__(self) -> A: return A() async def main() -> None: x = await A() reveal_type(x) # N: Revealed type is "builtins.int" async with C() as y: reveal_type(y) # N: Revealed type is "builtins.int" async for z in I(): reveal_type(z) # N: Revealed type is "builtins.int" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testYieldTypeCheckInDecoratedCoroutine] from typing import Generator from types import coroutine @coroutine def f() -> Generator[int, str, int]: x = yield 0 x = yield '' # E: Incompatible types in "yield" (actual type "str", expected type "int") reveal_type(x) # N: Revealed type is "builtins.str" if x: return 0 else: return '' # E: Incompatible return value type (got "str", expected "int") [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] -- Async generators (PEP 525), some test cases adapted from the PEP text -- --------------------------------------------------------------------- [case testAsyncGenerator] from typing import AsyncGenerator, Generator async def f() -> int: return 42 async def g() -> AsyncGenerator[int, None]: value = await f() reveal_type(value) # N: Revealed type is "builtins.int" yield value yield 'not an int' # E: Incompatible types in "yield" (actual type "str", expected type "int") # return without a value is fine return reveal_type(g) # N: Revealed type is "def () -> typing.AsyncGenerator[builtins.int, None]" reveal_type(g()) # N: Revealed type is "typing.AsyncGenerator[builtins.int, None]" async def h() -> None: async for item in g(): reveal_type(item) # N: Revealed type is "builtins.int" async def wrong_return() -> Generator[int, None, None]: # E: The return type of an async generator function should be "AsyncGenerator" or one of its supertypes yield 3 [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testAsyncGeneratorReturnIterator] from typing import AsyncIterator async def gen() -> AsyncIterator[int]: yield 3 yield 'not an int' # E: Incompatible types in "yield" (actual type "str", expected type "int") async def use_gen() -> None: async for item in gen(): reveal_type(item) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testAsyncGeneratorManualIter] from typing import AsyncGenerator async def genfunc() -> AsyncGenerator[int, None]: yield 1 yield 2 async def user() -> None: gen = genfunc() reveal_type(gen.__aiter__()) # N: Revealed type is "typing.AsyncGenerator[builtins.int, None]" reveal_type(await gen.__anext__()) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testAsyncGeneratorAsend] from typing import AsyncGenerator async def f() -> None: pass async def gen() -> AsyncGenerator[int, str]: await f() v = yield 42 reveal_type(v) # N: Revealed type is "builtins.str" await f() async def h() -> None: g = gen() await g.asend(()) # E: Argument 1 to "asend" of "AsyncGenerator" has incompatible type "tuple[()]"; expected "str" reveal_type(await g.asend('hello')) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testAsyncGeneratorAthrow] from typing import AsyncGenerator async def gen() -> AsyncGenerator[str, int]: try: yield 'hello' except BaseException: yield 'world' async def h() -> None: g = gen() v = await g.asend(1) reveal_type(v) # N: Revealed type is "builtins.str" reveal_type(await g.athrow(BaseException)) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testAsyncGeneratorNoSyncIteration] from typing import AsyncGenerator async def gen() -> AsyncGenerator[int, None]: for i in [1, 2, 3]: yield i def h() -> None: for i in gen(): # E: "AsyncGenerator[int, None]" has no attribute "__iter__"; maybe "__aiter__"? (not iterable) pass [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testAsyncGeneratorNoYieldFrom] from typing import AsyncGenerator async def f() -> AsyncGenerator[int, None]: pass async def gen() -> AsyncGenerator[int, None]: yield from f() # E: "yield from" in async function [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testAsyncGeneratorNoReturnWithValue] from typing import AsyncGenerator async def return_int() -> AsyncGenerator[int, None]: yield 1 return 42 # E: "return" with value in async generator is not allowed async def return_none() -> AsyncGenerator[int, None]: yield 1 return None # E: "return" with value in async generator is not allowed def f() -> None: return async def return_f() -> AsyncGenerator[int, None]: yield 1 return f() # E: "return" with value in async generator is not allowed [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testImplicitAsyncGenerator] from typing import List async def get_list() -> List[int]: return [1] async def predicate() -> bool: return True async def test_implicit_generators() -> None: reveal_type(await predicate() for _ in [1]) # N: Revealed type is "typing.AsyncGenerator[builtins.bool, None]" reveal_type(x for x in [1] if await predicate()) # N: Revealed type is "typing.AsyncGenerator[builtins.int, None]" reveal_type(x for x in await get_list()) # N: Revealed type is "typing.Generator[builtins.int, None, None]" reveal_type(x for _ in [1] for x in await get_list()) # N: Revealed type is "typing.AsyncGenerator[builtins.int, None]" [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] -- The full matrix of coroutine compatibility -- ------------------------------------------ [case testFullCoroutineMatrix] from typing import Any, AsyncIterator, Awaitable, Generator, Iterator from types import coroutine # The various things you might try to use in `await` or `yield from`. def plain_generator() -> Generator[str, None, int]: yield 'a' return 1 async def plain_coroutine() -> int: return 1 @coroutine def decorated_generator() -> Generator[str, None, int]: yield 'a' return 1 @coroutine async def decorated_coroutine() -> int: return 1 class It(Iterator[str]): def __iter__(self) -> 'It': return self def __next__(self) -> str: return 'a' def other_iterator() -> It: return It() class Aw(Awaitable[int]): def __await__(self) -> Generator[str, Any, int]: yield 'a' return 1 def other_coroutine() -> Aw: return Aw() # The various contexts in which `await` or `yield from` might occur. def plain_host_generator() -> Generator[str, None, None]: yield 'a' x = 0 x = yield from plain_generator() x = yield from plain_coroutine() # E: "yield from" can't be applied to "Coroutine[Any, Any, int]" x = yield from decorated_generator() x = yield from decorated_coroutine() # E: "yield from" can't be applied to "AwaitableGenerator[Any, Any, int, Coroutine[Any, Any, int]]" x = yield from other_iterator() x = yield from other_coroutine() # E: "yield from" can't be applied to "Aw" async def plain_host_coroutine() -> None: x = 0 x = await plain_generator() # E: Incompatible types in "await" (actual type "Generator[str, None, int]", expected type "Awaitable[Any]") x = await plain_coroutine() x = await decorated_generator() x = await decorated_coroutine() x = await other_iterator() # E: Incompatible types in "await" (actual type "It", expected type "Awaitable[Any]") x = await other_coroutine() @coroutine def decorated_host_generator() -> Generator[str, None, None]: yield 'a' x = 0 x = yield from plain_generator() x = yield from plain_coroutine() x = yield from decorated_generator() x = yield from decorated_coroutine() x = yield from other_iterator() x = yield from other_coroutine() # E: "yield from" can't be applied to "Aw" @coroutine async def decorated_host_coroutine() -> None: x = 0 x = await plain_generator() # E: Incompatible types in "await" (actual type "Generator[str, None, int]", expected type "Awaitable[Any]") x = await plain_coroutine() x = await decorated_generator() x = await decorated_coroutine() x = await other_iterator() # E: Incompatible types in "await" (actual type "It", expected type "Awaitable[Any]") x = await other_coroutine() [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] [case testAsyncGenDisallowUntyped] # flags: --disallow-untyped-defs # These should not crash from typing import AsyncGenerator, Any async def f() -> AsyncGenerator[int, None]: yield 0 async def g() -> AsyncGenerator[Any, None]: yield 0 [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] [case testAsyncGenDisallowUntypedTriggers] # flags: --disallow-untyped-defs from typing import AsyncGenerator, Any async def f() -> AsyncGenerator[Any, Any]: yield None async def h() -> Any: yield 0 async def g(): # E: Function is missing a return type annotation yield 0 [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] [case testAsyncOverloadedFunction] from typing import overload @overload async def f(x: int) -> int: ... @overload async def f(x: str) -> str: ... async def f(x): pass reveal_type(f) # N: Revealed type is "Overload(def (x: builtins.int) -> typing.Coroutine[Any, Any, builtins.int], def (x: builtins.str) -> typing.Coroutine[Any, Any, builtins.str])" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncForwardRefInBody] async def f() -> None: forwardref: C class C: pass def dec(x): pass @dec async def g() -> None: forwardref: C class C: pass reveal_type(f) # N: Revealed type is "def () -> typing.Coroutine[Any, Any, None]" reveal_type(g) # N: Revealed type is "Any" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncDeferredAnalysis] def t() -> None: async def f() -> int: return 1 def g() -> int: return next(iter(x)) x = [1] [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncWithInGenericClass] from typing import Generic, AsyncContextManager, TypeVar T = TypeVar('T', str, int) class Foo(Generic[T]): async def foo(self, manager: AsyncContextManager): async with manager: pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAwaitOverloadSpecialCase] from typing import Any, Awaitable, Iterable, overload, Tuple, List, TypeVar, Generic T = TypeVar("T") FT = TypeVar("FT", bound='Future[Any]') class Future(Awaitable[T], Iterable[T]): pass class Task(Future[T]): pass @overload def wait(fs: Iterable[FT]) -> Future[Tuple[List[FT], List[FT]]]: ... \ # E: Overloaded function signatures 1 and 2 overlap with incompatible return types \ # N: Flipping the order of overloads will fix this error @overload def wait(fs: Iterable[Awaitable[T]]) -> Future[Tuple[List[Task[T]], List[Task[T]]]]: ... def wait(fs: Any) -> Any: pass async def imprecise1(futures: Iterable[Task[Any]]) -> None: done: Any pending: Any done, pending = await wait(futures) reveal_type(done) # N: Revealed type is "Any" async def imprecise2(futures: Iterable[Awaitable[Any]]) -> None: done, pending = await wait(futures) reveal_type(done) # N: Revealed type is "builtins.list[__main__.Task[Any]]" async def precise1(futures: Iterable[Future[int]]) -> None: done, pending = await wait(futures) reveal_type(done) # N: Revealed type is "builtins.list[__main__.Future[builtins.int]]" async def precise2(futures: Iterable[Awaitable[int]]) -> None: done, pending = await wait(futures) reveal_type(done) # N: Revealed type is "builtins.list[__main__.Task[builtins.int]]" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testUnusedAwaitable] # flags: --show-error-codes --enable-error-code unused-awaitable from typing import Iterable async def foo() -> None: pass class A: def __await__(self) -> Iterable[int]: yield 5 # Things with __getattr__ should not simply be considered awaitable. class B: def __getattr__(self, attr) -> object: return 0 def bar() -> None: A() # E: Value of type "A" must be used [unused-awaitable] \ # N: Are you missing an await? foo() # E: Value of type "Coroutine[Any, Any, None]" must be used [unused-coroutine] \ # N: Are you missing an await? B() [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncForOutsideCoroutine] async def g(): yield 0 def f() -> None: [x async for x in g()] # E: "async for" outside async function {x async for x in g()} # E: "async for" outside async function {x: True async for x in g()} # E: "async for" outside async function (x async for x in g()) async for x in g(): ... # E: "async for" outside async function [x async for x in g()] # E: "async for" outside async function {x async for x in g()} # E: "async for" outside async function {x: True async for x in g()} # E: "async for" outside async function (x async for x in g()) async for x in g(): ... # E: "async for" outside async function [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncWithOutsideCoroutine] class C: async def __aenter__(self): pass async def __aexit__(self, x, y, z): pass def f() -> None: async with C() as x: # E: "async with" outside async function pass async with C() as x: # E: "async with" outside async function pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAwaitMissingNote] from typing import Generic, TypeVar, Generator, Any, Awaitable, Type class C: x: int class D(C): ... async def foo() -> D: ... def g(x: C) -> None: ... T = TypeVar("T") class Custom(Generic[T]): def __await__(self) -> Generator[Any, Any, T]: ... class Sub(Custom[T]): ... async def test(x: Sub[D], tx: Type[Sub[D]]) -> None: foo().x # E: "Coroutine[Any, Any, D]" has no attribute "x" \ # N: Maybe you forgot to use "await"? (await foo()).x foo().bad # E: "Coroutine[Any, Any, D]" has no attribute "bad" g(foo()) # E: Argument 1 to "g" has incompatible type "Coroutine[Any, Any, D]"; expected "C" \ # N: Maybe you forgot to use "await"? g(await foo()) unknown: Awaitable[Any] g(unknown) # E: Argument 1 to "g" has incompatible type "Awaitable[Any]"; expected "C" x.x # E: "Sub[D]" has no attribute "x" \ # N: Maybe you forgot to use "await"? (await x).x x.bad # E: "Sub[D]" has no attribute "bad" a: C = x # E: Incompatible types in assignment (expression has type "Sub[D]", variable has type "C") \ # N: Maybe you forgot to use "await"? b: C = await x unknown2: Awaitable[Any] d: C = unknown2 # E: Incompatible types in assignment (expression has type "Awaitable[Any]", variable has type "C") # The notes are not show for type[...] (because awaiting them will not work) tx.x # E: "type[Sub[D]]" has no attribute "x" a2: C = tx # E: Incompatible types in assignment (expression has type "type[Sub[D]]", variable has type "C") class F: def __await__(self: T) -> Generator[Any, Any, T]: ... class G(F): ... # This should not crash. x: int = G() # E: Incompatible types in assignment (expression has type "G", variable has type "int") [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncGeneratorExpressionAwait] from typing import AsyncGenerator async def f() -> AsyncGenerator[int, None]: async def g(x: int) -> int: return x return (await g(x) for x in [1, 2, 3]) [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAwaitUnion] from typing import overload, Union class A: ... class B: ... @overload async def foo(x: A) -> B: ... @overload async def foo(x: B) -> A: ... async def foo(x): ... async def bar(x: Union[A, B]) -> None: reveal_type(await foo(x)) # N: Revealed type is "Union[__main__.B, __main__.A]" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncIteratorWithIgnoredErrors] import m async def func(l: m.L) -> None: reveal_type(l.get_iterator) # N: Revealed type is "def () -> typing.AsyncIterator[builtins.str]" reveal_type(l.get_iterator2) # N: Revealed type is "def () -> typing.AsyncIterator[builtins.str]" async for i in l.get_iterator(): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(m.get_generator) # N: Revealed type is "def () -> typing.AsyncGenerator[builtins.int, None]" async for i2 in m.get_generator(): reveal_type(i2) # N: Revealed type is "builtins.int" [file m.py] # mypy: ignore-errors=True from typing import AsyncIterator, AsyncGenerator class L: async def some_func(self, i: int) -> str: return 'x' async def get_iterator(self) -> AsyncIterator[str]: yield await self.some_func(0) async def get_iterator2(self) -> AsyncIterator[str]: if self: a = (yield 'x') async def get_generator() -> AsyncGenerator[int, None]: yield 1 [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncIteratorWithIgnoredErrorsAndYieldFrom] from m import L async def func(l: L) -> None: reveal_type(l.get_iterator) [file m.py] # mypy: ignore-errors=True from typing import AsyncIterator class L: async def get_iterator(self) -> AsyncIterator[str]: yield from ['x'] # E: "yield from" in async function [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testInvalidComprehensionNoCrash] # flags: --show-error-codes async def foo(x: int) -> int: ... # These are allowed in some cases: top_level = await foo(1) # E: "await" outside function [top-level-await] crasher = [await foo(x) for x in [1, 2, 3]] # E: "await" outside function [top-level-await] def bad() -> None: # These are always critical / syntax issues: y = [await foo(x) for x in [1, 2, 3]] # E: "await" outside coroutine ("async def") [await-not-async] async def good() -> None: y = [await foo(x) for x in [1, 2, 3]] # OK [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testNestedAsyncFunctionAndTypeVarAvalues] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> None: async def g() -> T: return x [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testNestedAsyncGeneratorAndTypeVarAvalues] from typing import AsyncGenerator, TypeVar T = TypeVar('T', int, str) def f(x: T) -> None: async def g() -> AsyncGenerator[T, None]: yield x [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testNestedDecoratedCoroutineAndTypeVarValues] from typing import Generator, TypeVar from types import coroutine T = TypeVar('T', int, str) def f(x: T) -> None: @coroutine def inner() -> Generator[T, None, None]: yield x reveal_type(inner) # N: Revealed type is "def () -> typing.AwaitableGenerator[builtins.int, None, None, typing.Generator[builtins.int, None, None]]" \ # N: Revealed type is "def () -> typing.AwaitableGenerator[builtins.str, None, None, typing.Generator[builtins.str, None, None]]" @coroutine def coro() -> Generator[int, None, None]: yield 1 reveal_type(coro) # N: Revealed type is "def () -> typing.AwaitableGenerator[builtins.int, None, None, typing.Generator[builtins.int, None, None]]" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case asyncIteratorInProtocol] from typing import AsyncIterator, Protocol class P(Protocol): async def launch(self) -> AsyncIterator[int]: raise BaseException class Launcher(P): def launch(self) -> AsyncIterator[int]: # E: Return type "AsyncIterator[int]" of "launch" incompatible with return type "Coroutine[Any, Any, AsyncIterator[int]]" in supertype "P" \ # N: Consider declaring "launch" in supertype "P" without "async" \ # N: See https://mypy.readthedocs.io/en/stable/more_types.html#asynchronous-iterators raise BaseException [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-basic.test0000644000175100017510000003253015112307767020164 0ustar00runnerrunner[case testEmptyFile] [out] [case testAssignmentAndVarDef] a: A b: B if int(): a = a if int(): a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") class A: pass class B: pass [case testConstructionAndAssignment] class A: def __init__(self): pass class B: def __init__(self): pass x: A x = A() if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [case testInheritInitFromObject] class A(object): pass class B(object): pass x: A if int(): x = A() if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [case testImplicitInheritInitFromObject] class A: pass class B: pass x: A o: object if int(): x = o # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): x = A() if int(): o = x [case testTooManyConstructorArgs] import typing object(object()) [out] main:2: error: Too many arguments for "object" [case testVarDefWithInit] import typing class A: pass a = A() # type: A b = object() # type: A # E: Incompatible types in assignment (expression has type "object", variable has type "A") [case testInheritanceBasedSubtyping] import typing class A: pass class B(A): pass x = B() # type: A y = A() # type: B # E: Incompatible types in assignment (expression has type "A", variable has type "B") [case testDeclaredVariableInParentheses] (x) = 2 # type: int if int(): x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): x = 1 [case testIncompatibleAssignmentAmbiguousShortnames] class Any: pass class List: pass class Dict: pass class Iterator: pass x = Any() x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "__main__.Any") y = List() y = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "__main__.List") z = Dict() z = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "__main__.Dict") w = Iterator() w = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "__main__.Iterator") -- Simple functions and calling -- ---------------------------- [case testFunction] import typing class A: pass class B: pass def f(x: 'A') -> None: pass f(A()) f(B()) # E: Argument 1 to "f" has incompatible type "B"; expected "A" [case testNotCallable] import typing class A: pass A()() # E: "A" not callable [case testSubtypeArgument] import typing class A: pass class B(A): pass def f(x: 'A', y: 'B') -> None: pass f(B(), A()) # E: Argument 2 to "f" has incompatible type "A"; expected "B" f(B(), B()) [case testInvalidArgumentCount] import typing def f(x, y) -> None: pass f(object()) f(object(), object(), object()) [out] main:3: error: Missing positional argument "y" in call to "f" main:4: error: Too many arguments for "f" [case testMissingPositionalArguments] class Foo: def __init__(self, bar: int): pass c = Foo() def foo(baz: int, bas: int):pass foo() [out] main:4: error: Missing positional argument "bar" in call to "Foo" main:6: error: Missing positional arguments "baz", "bas" in call to "foo" -- Locals -- ------ [case testLocalVariables] def f() -> None: x: A y: B if int(): x = x x = y # E: Incompatible types in assignment (expression has type "B", variable has type "A") class A: pass class B: pass [case testLocalVariableScope] def f() -> None: x: A x = A() def g() -> None: x: B x = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") class A: pass class B: pass [case testFunctionArguments] import typing def f(x: 'A', y: 'B') -> None: if int(): x = y # E: Incompatible types in assignment (expression has type "B", variable has type "A") x = x y = B() class A: pass class B: pass [case testLocalVariableInitialization] import typing def f() -> None: a = A() # type: A b = B() # type: A # Fail class A: pass class B: pass [out] main:4: error: Incompatible types in assignment (expression has type "B", variable has type "A") [case testVariableInitializationWithSubtype] import typing class A: pass class B(A): pass x = B() # type: A y = A() # type: B # E: Incompatible types in assignment (expression has type "A", variable has type "B") -- Misc -- ---- [case testInvalidReturn] import typing def f() -> 'A': return B() class A: pass class B: pass [out] main:3: error: Incompatible return value type (got "B", expected "A") [case testTopLevelContextAndInvalidReturn] import typing class A: pass class B: pass def f() -> 'A': return B() # E: Incompatible return value type (got "B", expected "A") a = B() # type: A # E: Incompatible types in assignment (expression has type "B", variable has type "A") [case testEmptyReturnInAnyTypedFunction] from typing import Any def f() -> Any: return [case testEmptyYieldInAnyTypedFunction] from typing import Any def f() -> Any: yield [case testModuleImplicitAttributes] import typing class A: pass reveal_type(__name__) # N: Revealed type is "builtins.str" reveal_type(__doc__) # N: Revealed type is "builtins.str" reveal_type(__file__) # N: Revealed type is "builtins.str" reveal_type(__package__) # N: Revealed type is "builtins.str" reveal_type(__annotations__) # N: Revealed type is "builtins.dict[builtins.str, Any]" # This will actually reveal Union[importlib.machinery.ModuleSpec, None] reveal_type(__spec__) # N: Revealed type is "Union[builtins.object, None]" import module reveal_type(module.__name__) # N: Revealed type is "builtins.str" # This will actually reveal importlib.machinery.ModuleSpec reveal_type(module.__spec__) # N: Revealed type is "builtins.object" [file module.py] [builtins fixtures/primitives.pyi] -- Scoping and shadowing -- --------------------- [case testLocalVariableShadowing] class A: pass class B: pass a: A if int(): a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = A() def f() -> None: a: B if int(): a = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = B() a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = A() [case testGlobalDefinedInBlockWithType] class A: pass while 1: a: A if int(): a = A() a = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") -- # type: signatures -- ------------------ [case testFunctionSignatureAsComment] def f(x): # type: (int) -> str return 1 f('') [out] main:2: error: Incompatible return value type (got "int", expected "str") main:3: error: Argument 1 to "f" has incompatible type "str"; expected "int" [case testMethodSignatureAsComment] class A: def f(self, x): # type: (int) -> str self.f('') # Fail return 1 A().f('') # Fail [out] main:4: error: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" main:5: error: Incompatible return value type (got "int", expected "str") main:6: error: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [case testTrailingCommaParsing] x = 1 x in 1, # E: Unsupported right operand type for in ("int") [builtins fixtures/tuple.pyi] [case testTrailingCommaInIfParsing] if x in 1, : pass [out] main:1: error: Invalid syntax [case testInitReturnTypeError] class C: def __init__(self): # type: () -> int pass [out] main:2: error: The return type of "__init__" must be None -- WritesCache signals to testcheck to do the cache validation [case testWritesCache] import a import d [file a.py] import b import c [file b.py] [file c.py] [file d.py] [case testWritesCacheErrors] import a import d [file a.py] import b import c [file b.py] [file c.py] [file d.py] import e [file e.py] 1+'no' # E: Unsupported operand types for + ("int" and "str") [case testModuleAsTypeNoCrash] import mock from typing import Union class A: ... class B: ... x: Union[mock, A] # E: Module "mock" is not valid as a type \ # N: Perhaps you meant to use a protocol matching the module structure? if isinstance(x, B): pass [file mock.py] [builtins fixtures/isinstance.pyi] [out] [case testModuleAsTypeNoCrash2] import mock from typing import overload, Any, Union @overload def f(x: int) -> int: ... @overload def f(x: str) -> Union[mock, str]: ... # E: Module "mock" is not valid as a type \ # N: Perhaps you meant to use a protocol matching the module structure? def f(x): pass x: Any f(x) [file mock.py] [builtins fixtures/isinstance.pyi] [out] [case testPartialTypeComments] def foo( a, # type: str b, args=None, ): # type: (...) -> None pass [case testNoneHasBool] none = None b = none.__bool__() reveal_type(b) # N: Revealed type is "Literal[False]" [builtins fixtures/bool.pyi] [case testAssignmentInvariantNoteForList] from typing import List x: List[int] y: List[float] y = x # E: Incompatible types in assignment (expression has type "list[int]", variable has type "list[float]") \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant [builtins fixtures/list.pyi] [case testAssignmentInvariantNoteForDict] from typing import Dict x: Dict[str, int] y: Dict[str, float] y = x # E: Incompatible types in assignment (expression has type "dict[str, int]", variable has type "dict[str, float]") \ # N: "dict" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Mapping" instead, which is covariant in the value type [builtins fixtures/dict.pyi] [case testDistinctTypes] import b [file a.py] from typing import NamedTuple, TypedDict from enum import Enum class A: pass N = NamedTuple('N', [('x', int)]) D = TypedDict('D', {'x': int}) class B(Enum): b = 10 [file b.py] from typing import Final, List, Literal, Optional, Union, Sequence, NamedTuple, Tuple, Type, TypedDict from enum import Enum import a class A: pass N = NamedTuple('N', [('x', int)]) class B(Enum): b = 10 D = TypedDict('D', {'y': int}) def foo() -> Optional[A]: b = True return a.A() if b else None # E: Incompatible return value type (got "Optional[a.A]", expected "Optional[b.A]") def bar() -> List[A]: l = [a.A()] return l # E: Incompatible return value type (got "list[a.A]", expected "list[b.A]") def baz() -> Union[A, int]: b = True return a.A() if b else 10 # E: Incompatible return value type (got "Union[a.A, int]", expected "Union[b.A, int]") def spam() -> Optional[A]: return a.A() # E: Incompatible return value type (got "a.A", expected "Optional[b.A]") def eggs() -> Sequence[A]: x = [a.A()] return x # E: Incompatible return value type (got "list[a.A]", expected "Sequence[b.A]") def eggs2() -> Sequence[N]: x = [a.N(0)] return x # E: Incompatible return value type (got "list[a.N]", expected "Sequence[b.N]") def asdf1() -> Sequence[Tuple[a.A, A]]: x = [(a.A(), a.A())] return x # E: Incompatible return value type (got "list[tuple[a.A, a.A]]", expected "Sequence[tuple[a.A, b.A]]") def asdf2() -> Sequence[Tuple[A, a.A]]: x = [(a.A(), a.A())] return x # E: Incompatible return value type (got "list[tuple[a.A, a.A]]", expected "Sequence[tuple[b.A, a.A]]") def arg() -> Tuple[A, A]: return A() # E: Incompatible return value type (got "A", expected "tuple[A, A]") def types() -> Sequence[Type[A]]: x = [a.A] return x # E: Incompatible return value type (got "list[type[a.A]]", expected "Sequence[type[b.A]]") def literal() -> Sequence[Literal[B.b]]: x = [a.B.b] # type: List[Literal[a.B.b]] return x # E: Incompatible return value type (got "list[Literal[a.B.b]]", expected "Sequence[Literal[b.B.b]]") def typeddict() -> Sequence[D]: x = [{'x': 0}] # type: List[a.D] return x # E: Incompatible return value type (got "list[a.D]", expected "Sequence[b.D]") a = (a.A(), A()) a.x # E: "tuple[a.A, b.A]" has no attribute "x" [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testReturnAnyFromFunctionDeclaredToReturnObject] # flags: --warn-return-any from typing import Any def f() -> object: x: Any = 1 return x [case testImportModuleAsClassMember] import test class A: def __init__(self) -> None: self.test = test def __call__(self) -> None: self.test.foo("Message") [file test.py] def foo(s: str) -> None: ... [case testLocalImportModuleAsClassMember] class A: def __init__(self) -> None: import test self.test = test def __call__(self) -> None: self.test.foo("Message") [file test.py] def foo(s: str) -> None: ... [case testInlineAssertions] import a, b s1: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file a.py] s2: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file b.py] s3: str = 42 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file c.py] s3: str = 'foo' [case testMultilineQuotedAnnotation] x: """ int | str """ reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" y: """( int | str ) """ reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-bound.test0000644000175100017510000001141115112307767020205 0ustar00runnerrunner-- Enforcement of upper bounds -- --------------------------- [case testBoundOnGenericFunction] from typing import TypeVar class A: pass class B(A): pass class C(A): pass class D: pass T = TypeVar('T', bound=A) U = TypeVar('U') def f(x: T) -> T: pass def g(x: U) -> U: return f(x) # E: Value of type variable "T" of "f" cannot be "U" f(A()) f(B()) f(D()) # E: Value of type variable "T" of "f" cannot be "D" b = B() if int(): b = f(b) if int(): b = f(C()) # E: Incompatible types in assignment (expression has type "C", variable has type "B") [case testBoundOnGenericClass] from typing import TypeVar, Generic class A: pass class B(A): pass T = TypeVar('T', bound=A) class G(Generic[T]): def __init__(self, x: T) -> None: pass v: G[A] w: G[B] x: G[str] # E: Type argument "str" of "G" must be a subtype of "A" y = G('a') # E: Value of type variable "T" of "G" cannot be "str" z = G(A()) z = G(B()) [case testBoundVoid] # flags: --no-strict-optional --no-local-partial-types from typing import TypeVar, Generic T = TypeVar('T', bound=int) class C(Generic[T]): t = None # type: T def get(self) -> T: return self.t c1 = None # type: C[None] c1.get() d = c1.get() reveal_type(d) # N: Revealed type is "None" [case testBoundAny] from typing import TypeVar, Generic T = TypeVar('T', bound=int) class C(Generic[T]): def __init__(self, x: T) -> None: pass def f(x: T) -> T: return x def g(): pass f(g()) C(g()) z: C [case testBoundHigherOrderWithVoid] # flags: --no-strict-optional --no-local-partial-types from typing import TypeVar, Callable class A: pass T = TypeVar('T', bound=A) def f(g: Callable[[], T]) -> T: return g() def h() -> None: pass f(h) a = f(h) reveal_type(a) # N: Revealed type is "None" [case testBoundInheritance] from typing import TypeVar, Generic class A: pass T = TypeVar('T') TA = TypeVar('TA', bound=A) class C(Generic[TA]): pass class D0(C[TA], Generic[TA]): pass class D1(C[T], Generic[T]): pass # E: Type argument "T" of "C" must be a subtype of "A" class D2(C[A]): pass class D3(C[str]): pass # E: Type argument "str" of "C" must be a subtype of "A" -- Using information from upper bounds -- ----------------------------------- [case testBoundGenericFunctions] from typing import TypeVar class A: pass class B(A): pass T = TypeVar('T') TA = TypeVar('TA', bound=A) TB = TypeVar('TB', bound=B) def f(x: T) -> T: return x def g(x: TA) -> TA: return f(x) def h(x: TB) -> TB: return g(x) def g2(x: TA) -> TA: return h(x) # Fail def j(x: TA) -> A: return x def k(x: TA) -> B: return x # Fail [out] main:16: error: Value of type variable "TB" of "h" cannot be "TA" main:21: error: Incompatible return value type (got "TA", expected "B") [case testBoundMethodUsage] from typing import TypeVar class A0: def foo(self) -> None: pass class A(A0): def bar(self) -> None: pass a = 1 @property def b(self) -> int: return self.a class B(A): def baz(self) -> None: pass T = TypeVar('T', bound=A) def f(x: T) -> T: x.foo() x.bar() x.baz() # E: "T" has no attribute "baz" x.a x.b return x b = f(B()) [builtins fixtures/property.pyi] [out] [case testBoundClassMethod] from typing import TypeVar class A0: @classmethod def foo(cls, x: int) -> int: pass class A(A0): pass T = TypeVar('T', bound=A) def f(x: T) -> int: return x.foo(22) [builtins fixtures/classmethod.pyi] [case testBoundClassMethodWithNamedTupleBase] from typing import NamedTuple, Type, TypeVar class A(NamedTuple): @classmethod def foo(cls) -> None: ... T = TypeVar('T', bound=A) def f(x: Type[T]) -> None: reveal_type(x.foo) # N: Revealed type is "def ()" x.foo() [builtins fixtures/classmethod.pyi] [case testBoundStaticMethod] from typing import TypeVar class A0: @staticmethod def foo(x: int) -> int: pass class A(A0): pass T = TypeVar('T', bound=A) def f(x: T) -> int: return x.foo(22) [builtins fixtures/staticmethod.pyi] [case testBoundOnDecorator] from typing import TypeVar, Callable, Any, cast T = TypeVar('T', bound=Callable[..., Any]) def twice(f: T) -> T: def result(*args, **kwargs) -> Any: f(*args, **kwargs) return f(*args, **kwargs) return cast(T, result) @twice def foo(x: int) -> int: return x a = 1 b = foo(a) if int(): b = 'a' # E: Incompatible types in assignment (expression has type "str", variable has type "int") twice(a) # E: Value of type variable "T" of "twice" cannot be "int" [builtins fixtures/args.pyi] [case testIterableBoundUnpacking] from typing import Tuple, TypeVar TupleT = TypeVar("TupleT", bound=Tuple[int, ...]) def f(t: TupleT) -> None: a, *b = t reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-callable.test0000644000175100017510000003561415112307767020650 0ustar00runnerrunner[case testCallableDef] def f() -> None: pass if callable(f): f() else: f += 5 [builtins fixtures/callable.pyi] [case testCallableLambda] f = lambda: None if callable(f): f() else: f += 5 [builtins fixtures/callable.pyi] [case testCallableNotCallable] x = 5 if callable(x): x() else: x += 5 [builtins fixtures/callable.pyi] [case testUnion] from typing import Callable, Union x = 5 # type: Union[int, Callable[[], str]] if callable(x): y = x() + 'test' else: z = x + 6 [builtins fixtures/callable.pyi] [case testUnionMultipleReturnTypes] from typing import Callable, Union x = 5 # type: Union[int, Callable[[], str], Callable[[], int]] if callable(x): y = x() + 2 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[str, int]" else: z = x + 6 [builtins fixtures/callable.pyi] [case testUnionMultipleNonCallableTypes] from typing import Callable, Union x = 5 # type: Union[int, str, Callable[[], str]] if callable(x): y = x() + 'test' else: z = x + 6 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" [builtins fixtures/callable.pyi] [case testCallableThenIsinstance] from typing import Callable, Union x = 5 # type: Union[int, str, Callable[[], str], Callable[[], int]] if callable(x): y = x() if isinstance(y, int): b1 = y + 2 else: b2 = y + 'test' else: if isinstance(x, int): b3 = x + 3 else: b4 = x + 'test2' [builtins fixtures/callable.pyi] [case testIsinstanceThenCallable] from typing import Callable, Union x = 5 # type: Union[int, str, Callable[[], str], Callable[[], int]] if isinstance(x, int): b1 = x + 1 else: if callable(x): y = x() if isinstance(y, int): b2 = y + 1 else: b3 = y + 'test' else: b4 = x + 'test2' [builtins fixtures/callable.pyi] [case testCallableWithDifferentArgTypes] from typing import Callable, Union x = 5 # type: Union[int, Callable[[], None], Callable[[int], None]] if callable(x): x() # E: Too few arguments [builtins fixtures/callable.pyi] [case testClassInitializer] from typing import Callable, Union class A: x = 5 a = A # type: Union[A, Callable[[], A]] if callable(a): a = a() a.x + 6 [builtins fixtures/callable.pyi] [case testCallableVariables] from typing import Union class A: x = 5 class B: x = int x = A() # type: Union[A, B] if callable(x.x): y = x.x() else: y = x.x + 5 [builtins fixtures/callable.pyi] [case testCallableAnd] from typing import Union, Callable x = 5 # type: Union[int, Callable[[], str]] if callable(x) and x() == 'test': x() else: x + 5 # E: Unsupported left operand type for + ("Callable[[], str]") \ # N: Left operand is of type "Union[int, Callable[[], str]]" [builtins fixtures/callable.pyi] [case testCallableOr] from typing import Union, Callable x = 5 # type: Union[int, Callable[[], str]] if callable(x) or x() == 'test': # E: "int" not callable x() # E: "int" not callable else: x + 5 [builtins fixtures/callable.pyi] [case testCallableOrOtherType] from typing import Union, Callable x = 5 # type: Union[int, Callable[[], str]] if callable(x) or x == 2: pass else: pass [builtins fixtures/callable.pyi] [case testAnyCallable] from typing import Any x = 5 # type: Any if callable(x): reveal_type(x) # N: Revealed type is "Any" else: reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/callable.pyi] [case testCallableCallableClasses] from typing import Union class A: pass class B: def __call__(self) -> None: pass a = A() # type: A b = B() # type: B c = A() # type: Union[A, B] if callable(a): 5 + 'test' # E: Unsupported operand types for + ("int" and "str") if not callable(b): 5 + 'test' if callable(c): reveal_type(c) # N: Revealed type is "__main__.B" else: reveal_type(c) # N: Revealed type is "__main__.A" [builtins fixtures/callable.pyi] [case testDecoratedCallMethods] from typing import Any, Callable, Union, TypeVar F = TypeVar('F', bound=Callable) def decorator(f: F) -> F: pass def change(f: Callable) -> Callable[[Any], str]: pass def untyped(f): pass class Some1: @decorator def __call__(self) -> int: pass class Some2: @change def __call__(self) -> int: pass class Some3: @untyped def __call__(self) -> int: pass class Some4: __call__: Any s1: Some1 s2: Some2 s3: Some3 s4: Some4 if callable(s1): 1 + 'a' # E: Unsupported operand types for + ("int" and "str") else: 2 + 'b' if callable(s2): 1 + 'a' # E: Unsupported operand types for + ("int" and "str") else: 2 + 'b' if callable(s3): 1 + 'a' # E: Unsupported operand types for + ("int" and "str") else: 2 + 'b' # E: Unsupported operand types for + ("int" and "str") if callable(s4): 1 + 'a' # E: Unsupported operand types for + ("int" and "str") else: 2 + 'b' # E: Unsupported operand types for + ("int" and "str") [builtins fixtures/callable.pyi] [case testCallableNestedUnions] from typing import Callable, Union T = Union[Union[int, Callable[[], int]], Union[str, Callable[[], str]]] def f(t: T) -> None: if callable(t): reveal_type(t()) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(t) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/callable.pyi] [case testCallableTypeVarEmpty] from typing import TypeVar T = TypeVar('T') def f(t: T) -> T: if callable(t): return 5 # E: Incompatible return value type (got "int", expected "T") else: return t [builtins fixtures/callable.pyi] [case testCallableTypeVarUnion] from typing import Callable, TypeVar, Union T = TypeVar('T', int, Callable[[], int], Union[str, Callable[[], str]]) def f(t: T) -> None: if callable(t): reveal_type(t()) # N: Revealed type is "Any" \ # N: Revealed type is "builtins.int" \ # N: Revealed type is "builtins.str" else: reveal_type(t) # N: Revealed type is "builtins.int" # N: Revealed type is "builtins.str" [builtins fixtures/callable.pyi] [case testCallableTypeVarBound] from typing import TypeVar class A: def __call__(self) -> str: return 'hi' T = TypeVar('T', bound=A) def f(t: T) -> str: if callable(t): return t() else: return 5 [builtins fixtures/callable.pyi] [case testCallableTypeType] from typing import Type class A: pass T = Type[A] def f(t: T) -> A: if callable(t): return t() else: return 5 [builtins fixtures/callable.pyi] [case testCallableTypeUnion] from abc import ABCMeta, abstractmethod from typing import Type, Union class A(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass class B: pass x = B # type: Union[Type[A], Type[B]] if callable(x): # Abstract classes raise an error when called, but are indeed `callable` pass else: 'test' + 5 [builtins fixtures/callable.pyi] [case testCallableUnionOfTypes] from abc import ABCMeta, abstractmethod from typing import Type, Union class A(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass class B: pass x = B # type: Type[Union[A, B]] if callable(x): # Abstract classes raise an error when called, but are indeed `callable` pass else: 'test' + 5 [builtins fixtures/callable.pyi] [case testCallableObject] def f(o: object) -> None: if callable(o): o(1,2,3) 1 + 'boom' # E: Unsupported operand types for + ("int" and "str") o('hi') + 12 reveal_type(o) # N: Revealed type is "__main__." [builtins fixtures/callable.pyi] [case testCallableObject2] class Foo(object): def bar(self) -> None: pass def g(o: Foo) -> None: o.bar() if callable(o): o.foo() # E: "Foo" has no attribute "foo" o.bar() o(1,2,3) else: o.bar() [builtins fixtures/callable.pyi] [case testCallableObjectAny] from typing import Any class Foo(Any): def bar(self) -> None: pass def g(o: Foo) -> None: o.bar() o.baz() if callable(o): o('test') o.lurr(1,2,3) [builtins fixtures/callable.pyi] [case testCallableObjectGeneric] from typing import TypeVar, Generic T = TypeVar('T') class Test(Generic[T]): def __self__(self, x: T) -> None: self.x = x def g(o: Test[T], x: T) -> T: if callable(o): o.foo() # E: "Test[T]" has no attribute "foo" o(1,2,3) o.x = x o.x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "T") 1 + o.x # E: Unsupported operand types for + ("int" and "T") return o.x return x [builtins fixtures/callable.pyi] [case testCallablePromote] def take_float(f: float) -> None: pass def g(o: int) -> None: if callable(o): take_float(o) o(1,2,3) [builtins fixtures/callable.pyi] [case testCallableTuple] from typing import NamedTuple Thing = NamedTuple('Thing', [('s', str), ('n', int)]) def g(o: Thing) -> None: if callable(o): o.s + o.n # E: Unsupported operand types for + ("str" and "int") i, s = o i + s # E: Unsupported operand types for + ("str" and "int") o(1,2,3) [builtins fixtures/callable.pyi] [case testCallableNoArgs] if callable(): # E: Missing positional argument "x" in call to "callable" pass [builtins fixtures/callable.pyi] [case testCallableWithNoneArgs] fn = None if callable(fn): fn() [builtins fixtures/callable.pyi] [case testCallableUnionOfNoneAndCallable] from typing import Union, Callable def f() -> int: return 42 fn = f # type: Union[None, Callable[[], int]] if callable(fn): reveal_type(fn) # N: Revealed type is "def () -> builtins.int" else: reveal_type(fn) # N: Revealed type is "None" [builtins fixtures/callable.pyi] [case testBuiltinsTypeAsCallable] from __future__ import annotations reveal_type(type) # N: Revealed type is "def (x: Any) -> builtins.type" _TYPE = type reveal_type(_TYPE) # N: Revealed type is "def (x: Any) -> builtins.type" _TYPE('bar') [builtins fixtures/callable.pyi] [case testErrorMessageAboutSelf] # https://github.com/python/mypy/issues/11309 class Some: def method(self, a) -> None: pass @classmethod def cls_method(cls, a) -> None: pass @staticmethod def st_method(a) -> None: pass def bad_method(a) -> None: pass @classmethod def bad_cls_method(a) -> None: pass @staticmethod def bad_st_method() -> None: pass s: Some s.method(1) s.cls_method(1) Some.cls_method(1) s.st_method(1) Some.st_method(1) s.method(1, 2) # E: Too many arguments for "method" of "Some" s.cls_method(1, 2) # E: Too many arguments for "cls_method" of "Some" Some.cls_method(1, 2) # E: Too many arguments for "cls_method" of "Some" s.st_method(1, 2) # E: Too many arguments for "st_method" of "Some" Some.st_method(1, 2) # E: Too many arguments for "st_method" of "Some" s.bad_method(1) # E: Too many arguments for "bad_method" of "Some" \ # N: Looks like the first special argument in a method is not named "self", "cls", or "mcs", maybe it is missing? s.bad_cls_method(1) # E: Too many arguments for "bad_cls_method" of "Some" \ # N: Looks like the first special argument in a method is not named "self", "cls", or "mcs", maybe it is missing? Some.bad_cls_method(1) # E: Too many arguments for "bad_cls_method" of "Some" \ # N: Looks like the first special argument in a method is not named "self", "cls", or "mcs", maybe it is missing? s.bad_st_method(1) # E: Too many arguments for "bad_st_method" of "Some" Some.bad_st_method(1) # E: Too many arguments for "bad_st_method" of "Some" [builtins fixtures/callable.pyi] [case testClassMethodAliasStub] from a import f f("no") # E: Argument 1 has incompatible type "str"; expected "int" [file a.pyi] from b import C f = C.f [file b.pyi] import a class C(B): @classmethod def f(self, x: int) -> C: ... class B: ... [builtins fixtures/classmethod.pyi] [case testClassMethodAliasInClass] from typing import overload class C: @classmethod def foo(cls) -> int: ... bar = foo @overload @classmethod def foo2(cls, x: int) -> int: ... @overload @classmethod def foo2(cls, x: str) -> str: ... @classmethod def foo2(cls, x): ... bar2 = foo2 reveal_type(C.bar) # N: Revealed type is "def () -> builtins.int" reveal_type(C().bar) # N: Revealed type is "def () -> builtins.int" reveal_type(C.bar2) # N: Revealed type is "Overload(def (x: builtins.int) -> builtins.int, def (x: builtins.str) -> builtins.str)" reveal_type(C().bar2) # N: Revealed type is "Overload(def (x: builtins.int) -> builtins.int, def (x: builtins.str) -> builtins.str)" [builtins fixtures/classmethod.pyi] [case testPropertyAliasInClassBody] class A: @property def f(self) -> int: ... g = f @property def f2(self) -> int: ... @f2.setter def f2(self, val: int) -> None: ... g2 = f2 reveal_type(A().g) # N: Revealed type is "builtins.int" reveal_type(A().g2) # N: Revealed type is "builtins.int" A().g = 1 # E: Property "g" defined in "A" is read-only A().g2 = 1 A().g2 = "no" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/property.pyi] [case testCallableUnionCallback] from typing import Union, Callable, TypeVar TA = TypeVar("TA", bound="A") class A: def __call__(self: TA, other: Union[Callable, TA]) -> TA: ... a: A a() # E: Missing positional argument "other" in call to "__call__" of "A" a(a) a(lambda: None) [case testCallableSubtypingTrivialSuffix] from typing import Any, Protocol class Call(Protocol): def __call__(self, x: int, *args: Any, **kwargs: Any) -> None: ... def f1() -> None: ... a1: Call = f1 # E: Incompatible types in assignment (expression has type "Callable[[], None]", variable has type "Call") \ # N: "Call.__call__" has type "def __call__(self, x: int, *args: Any, **kwargs: Any) -> None" def f2(x: str) -> None: ... a2: Call = f2 # E: Incompatible types in assignment (expression has type "Callable[[str], None]", variable has type "Call") \ # N: "Call.__call__" has type "def __call__(self, x: int, *args: Any, **kwargs: Any) -> None" def f3(y: int) -> None: ... a3: Call = f3 # E: Incompatible types in assignment (expression has type "Callable[[int], None]", variable has type "Call") \ # N: "Call.__call__" has type "def __call__(self, x: int, *args: Any, **kwargs: Any) -> None" def f4(x: int) -> None: ... a4: Call = f4 def f5(x: int, y: int) -> None: ... a5: Call = f5 def f6(x: int, y: int = 0) -> None: ... a6: Call = f6 def f7(x: int, *, y: int) -> None: ... a7: Call = f7 def f8(x: int, *args: int, **kwargs: str) -> None: ... a8: Call = f8 [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-class-namedtuple.test0000644000175100017510000004765215112307767022357 0ustar00runnerrunner[case testNewNamedTupleNoUnderscoreFields] from typing import NamedTuple class X(NamedTuple): x: int _y: int # E: NamedTuple field name cannot start with an underscore: _y _z: int # E: NamedTuple field name cannot start with an underscore: _z [builtins fixtures/tuple.pyi] [case testNewNamedTupleAccessingAttributes] from typing import NamedTuple class X(NamedTuple): x: int y: str x: X x.x x.y x.z # E: "X" has no attribute "z" [builtins fixtures/tuple.pyi] [case testNewNamedTupleAttributesAreReadOnly] from typing import NamedTuple class X(NamedTuple): x: int x: X x.x = 5 # E: Property "x" defined in "X" is read-only x.y = 5 # E: "X" has no attribute "y" class A(X): pass a: A a.x = 5 # E: Property "x" defined in "X" is read-only [builtins fixtures/tuple.pyi] [case testNewNamedTupleCreateWithPositionalArguments] from typing import NamedTuple class X(NamedTuple): x: int y: str x = X(1, '2') x.x x.z # E: "X" has no attribute "z" x = X(1) # E: Missing positional argument "y" in call to "X" x = X(1, '2', 3) # E: Too many arguments for "X" [builtins fixtures/tuple.pyi] [case testNewNamedTupleShouldBeSingleBase] from typing import NamedTuple class A: ... class X(NamedTuple, A): # E: NamedTuple should be a single base pass [builtins fixtures/tuple.pyi] [case testCreateNewNamedTupleWithKeywordArguments] from typing import NamedTuple class X(NamedTuple): x: int y: str x = X(x=1, y='x') x = X(1, y='x') x = X(x=1, z=1) # E: Unexpected keyword argument "z" for "X" x = X(y='x') # E: Missing positional argument "x" in call to "X" [builtins fixtures/tuple.pyi] [case testNewNamedTupleCreateAndUseAsTuple] from typing import NamedTuple class X(NamedTuple): x: int y: str x = X(1, 'x') a, b = x a, b, c = x # E: Need more than 2 values to unpack (3 expected) [builtins fixtures/tuple.pyi] [case testNewNamedTupleWithItemTypes] from typing import NamedTuple class N(NamedTuple): a: int b: str n = N(1, 'x') s: str = n.a # E: Incompatible types in assignment (expression has type "int", \ variable has type "str") i: int = n.b # E: Incompatible types in assignment (expression has type "str", \ variable has type "int") x, y = n if int(): x = y # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/tuple.pyi] [case testNewNamedTupleConstructorArgumentTypes] from typing import NamedTuple class N(NamedTuple): a: int b: str n = N('x', 'x') # E: Argument 1 to "N" has incompatible type "str"; expected "int" n = N(1, b=2) # E: Argument "b" to "N" has incompatible type "int"; expected "str" N(1, 'x') N(b='x', a=1) [builtins fixtures/tuple.pyi] [case testNewNamedTupleAsBaseClass] from typing import NamedTuple class N(NamedTuple): a: int b: str class X(N): pass x = X(1, 2) # E: Argument 2 to "X" has incompatible type "int"; expected "str" s = '' i = 0 if int(): s = x.a # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): i, s = x if int(): s, s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/tuple.pyi] [case testNewNamedTupleSelfTypeWithNamedTupleAsBase] from typing import NamedTuple class A(NamedTuple): a: int b: str class B(A): def f(self, x: int) -> None: self.f(self.a) self.f(self.b) # E: Argument 1 to "f" of "B" has incompatible type "str"; expected "int" i = 0 s = '' if int(): i, s = self i, i = self # E: Incompatible types in assignment (expression has type "str", \ variable has type "int") [builtins fixtures/tuple.pyi] [out] [case testNewNamedTupleTypeReferenceToClassDerivedFrom] from typing import NamedTuple class A(NamedTuple): a: int b: str class B(A): def f(self, x: 'B') -> None: i = 0 s = '' if int(): self = x i, s = x i, s = x.a, x.b i, s = x.a, x.a # E: Incompatible types in assignment (expression has type "int", \ variable has type "str") i, i = self # E: Incompatible types in assignment (expression has type "str", \ variable has type "int") [builtins fixtures/tuple.pyi] [case testNewNamedTupleSubtyping] from typing import NamedTuple, Tuple class A(NamedTuple): a: int b: str class B(A): pass a = A(1, '') b = B(1, '') t: Tuple[int, str] if int(): b = a # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = t # E: Incompatible types in assignment (expression has type "tuple[int, str]", variable has type "A") if int(): b = t # E: Incompatible types in assignment (expression has type "tuple[int, str]", variable has type "B") if int(): t = a if int(): t = (1, '') if int(): t = b if int(): a = b [builtins fixtures/tuple.pyi] [case testNewNamedTupleSimpleTypeInference] from typing import NamedTuple, Tuple class A(NamedTuple): a: int l = [A(1), A(2)] a = A(1) a = l[0] (i,) = l[0] i, i = l[0] # E: Need more than 1 value to unpack (2 expected) l = [A(1)] a = (1,) # E: Incompatible types in assignment (expression has type "tuple[int]", \ variable has type "A") [builtins fixtures/list.pyi] [case testNewNamedTupleMissingClassAttribute] from typing import NamedTuple class MyNamedTuple(NamedTuple): a: int b: str MyNamedTuple.x # E: "type[MyNamedTuple]" has no attribute "x" [builtins fixtures/tuple.pyi] [case testNewNamedTupleEmptyItems] from typing import NamedTuple class A(NamedTuple): ... [builtins fixtures/tuple.pyi] [case testNewNamedTupleForwardRef] from typing import NamedTuple class A(NamedTuple): b: 'B' class B: ... a = A(B()) a = A(1) # E: Argument 1 to "A" has incompatible type "int"; expected "B" [builtins fixtures/tuple.pyi] [case testNewNamedTupleProperty36] from typing import NamedTuple class A(NamedTuple): a: int class B(A): @property def b(self) -> int: return self.a class C(B): pass B(1).b C(2).b [builtins fixtures/property.pyi] [case testNewNamedTupleAsDict] from typing import NamedTuple, Any class X(NamedTuple): x: Any y: Any x: X reveal_type(x._asdict()) # N: Revealed type is "builtins.dict[builtins.str, Any]" [builtins fixtures/dict.pyi] [case testNewNamedTupleReplaceTyped] from typing import NamedTuple class X(NamedTuple): x: int y: str x: X reveal_type(x._replace()) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.X]" x._replace(x=5) x._replace(y=5) # E: Argument "y" to "_replace" of "X" has incompatible type "int"; expected "str" [builtins fixtures/tuple.pyi] [case testNewNamedTupleFields] from typing import NamedTuple class X(NamedTuple): x: int y: str reveal_type(X._fields) # N: Revealed type is "tuple[builtins.str, builtins.str]" reveal_type(X._field_types) # N: Revealed type is "builtins.dict[builtins.str, Any]" reveal_type(X._field_defaults) # N: Revealed type is "builtins.dict[builtins.str, Any]" # In typeshed's stub for builtins.pyi, __annotations__ is `dict[str, Any]`, # but it's inferred as `Mapping[str, object]` here due to the fixture we're using reveal_type(X.__annotations__) # N: Revealed type is "typing.Mapping[builtins.str, builtins.object]" [builtins fixtures/dict-full.pyi] [case testNewNamedTupleUnit] from typing import NamedTuple class X(NamedTuple): pass x: X = X() x._replace() x._fields[0] # E: Tuple index out of range [builtins fixtures/tuple.pyi] [case testNewNamedTupleJoinNamedTuple] from typing import NamedTuple class X(NamedTuple): x: int y: str class Y(NamedTuple): x: int y: str reveal_type([X(3, 'b'), Y(1, 'a')]) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str]]" [builtins fixtures/list.pyi] [case testNewNamedTupleJoinTuple] from typing import NamedTuple class X(NamedTuple): x: int y: str reveal_type([(3, 'b'), X(1, 'a')]) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str]]" reveal_type([X(1, 'a'), (3, 'b')]) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str]]" [builtins fixtures/list.pyi] [case testNewNamedTupleWithTooManyArguments] from typing import NamedTuple class X(NamedTuple): x: int y = z = 2 # E: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" def f(self): pass [builtins fixtures/tuple.pyi] [case testNewNamedTupleWithInvalidItems2] import typing class X(typing.NamedTuple): x: int y = 1 # E: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" x.x: int # E: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" z: str = 'z' aa: int # E: Non-default NamedTuple fields cannot follow default fields [builtins fixtures/list.pyi] [case testNewNamedTupleWithoutTypesSpecified] from typing import NamedTuple class X(NamedTuple): x: int y = 2 # E: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" [builtins fixtures/tuple.pyi] [case testTypeUsingTypeCNamedTuple] from typing import NamedTuple, Type class N(NamedTuple): x: int y: str def f(a: Type[N]): a() # E: Missing positional arguments "x", "y" in call to "N" [builtins fixtures/list.pyi] [case testNewNamedTupleWithDefaults] from typing import List, NamedTuple, Optional class X(NamedTuple): x: int y: int = 2 reveal_type(X(1)) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.X]" reveal_type(X(1, 2)) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.X]" X(1, 'a') # E: Argument 2 to "X" has incompatible type "str"; expected "int" X(1, z=3) # E: Unexpected keyword argument "z" for "X" class HasNone(NamedTuple): x: int y: Optional[int] = None reveal_type(HasNone(1)) # N: Revealed type is "tuple[builtins.int, Union[builtins.int, None], fallback=__main__.HasNone]" class Parameterized(NamedTuple): x: int y: List[int] = [1] + [2] z: List[int] = [] reveal_type(Parameterized(1)) # N: Revealed type is "tuple[builtins.int, builtins.list[builtins.int], builtins.list[builtins.int], fallback=__main__.Parameterized]" Parameterized(1, ['not an int']) # E: List item 0 has incompatible type "str"; expected "int" class Default: pass class UserDefined(NamedTuple): x: Default = Default() reveal_type(UserDefined()) # N: Revealed type is "tuple[__main__.Default, fallback=__main__.UserDefined]" reveal_type(UserDefined(Default())) # N: Revealed type is "tuple[__main__.Default, fallback=__main__.UserDefined]" UserDefined(1) # E: Argument 1 to "UserDefined" has incompatible type "int"; expected "Default" [builtins fixtures/list.pyi] [case testNewNamedTupleWithDefaultsStrictOptional] from typing import List, NamedTuple, Optional class HasNone(NamedTuple): x: int y: Optional[int] = None reveal_type(HasNone(1)) # N: Revealed type is "tuple[builtins.int, Union[builtins.int, None], fallback=__main__.HasNone]" HasNone(None) # E: Argument 1 to "HasNone" has incompatible type "None"; expected "int" HasNone(1, y=None) HasNone(1, y=2) class CannotBeNone(NamedTuple): x: int y: int = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") [builtins fixtures/list.pyi] [case testNewNamedTupleWrongType] from typing import NamedTuple class X(NamedTuple): x: int y: int = 'not an int' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/tuple.pyi] [case testNewNamedTupleErrorInDefault] from typing import NamedTuple class X(NamedTuple): x: int = 1 + '1' # E: Unsupported left operand type for + ("int") [builtins fixtures/tuple.pyi] [case testNewNamedTupleInheritance] from typing import NamedTuple class X(NamedTuple): x: str y: int = 3 class Y(X): def method(self) -> str: self.y return self.x reveal_type(Y('a')) # N: Revealed type is "tuple[builtins.str, builtins.int, fallback=__main__.Y]" Y(y=1, x='1').method() class CallsBaseInit(X): def __init__(self, x: str) -> None: super().__init__(x) # E: Too many arguments for "__init__" of "object" [builtins fixtures/tuple.pyi] [case testNewNamedTupleWithMethods] from typing import NamedTuple class XMeth(NamedTuple): x: int def double(self) -> int: return self.x async def asyncdouble(self) -> int: return self.x class XRepr(NamedTuple): x: int y: int = 1 def __str__(self) -> str: return 'string' def __sub__(self, other: XRepr) -> int: return 0 reveal_type(XMeth(1).double()) # N: Revealed type is "builtins.int" _ = reveal_type(XMeth(1).asyncdouble()) # N: Revealed type is "typing.Coroutine[Any, Any, builtins.int]" reveal_type(XMeth(42).x) # N: Revealed type is "builtins.int" reveal_type(XRepr(42).__str__()) # N: Revealed type is "builtins.str" reveal_type(XRepr(1, 2).__sub__(XRepr(3))) # N: Revealed type is "builtins.int" [typing fixtures/typing-async.pyi] [builtins fixtures/tuple.pyi] [case testNewNamedTupleOverloading] from typing import NamedTuple, overload class Overloader(NamedTuple): x: int @overload def method(self, y: str) -> str: pass @overload def method(self, y: int) -> int: pass def method(self, y): return y reveal_type(Overloader(1).method('string')) # N: Revealed type is "builtins.str" reveal_type(Overloader(1).method(1)) # N: Revealed type is "builtins.int" Overloader(1).method(('tuple',)) # E: No overload variant of "method" of "Overloader" matches argument type "tuple[str]" \ # N: Possible overload variants: \ # N: def method(self, y: str) -> str \ # N: def method(self, y: int) -> int [builtins fixtures/tuple.pyi] [case testNewNamedTupleMethodInheritance] from typing import NamedTuple, TypeVar T = TypeVar('T') class Base(NamedTuple): x: int def copy(self: T) -> T: reveal_type(self) # N: Revealed type is "T`-1" return self def good_override(self) -> int: reveal_type(self) # N: Revealed type is "tuple[builtins.int, fallback=__main__.Base]" reveal_type(self[0]) # N: Revealed type is "builtins.int" self[0] = 3 # E: Unsupported target for indexed assignment ("Base") reveal_type(self.x) # N: Revealed type is "builtins.int" self.x = 3 # E: Property "x" defined in "Base" is read-only self[1] # E: Tuple index out of range reveal_type(self[T]) # N: Revealed type is "builtins.int" \ # E: No overload variant of "__getitem__" of "tuple" matches argument type "TypeVar" \ # N: Possible overload variants: \ # N: def __getitem__(self, int, /) -> int \ # N: def __getitem__(self, slice, /) -> tuple[int, ...] return self.x def bad_override(self) -> int: return self.x class Child(Base): def new_method(self) -> int: reveal_type(self) # N: Revealed type is "tuple[builtins.int, fallback=__main__.Child]" reveal_type(self[0]) # N: Revealed type is "builtins.int" self[0] = 3 # E: Unsupported target for indexed assignment ("Child") reveal_type(self.x) # N: Revealed type is "builtins.int" self.x = 3 # E: Property "x" defined in "Base" is read-only self[1] # E: Tuple index out of range return self.x def good_override(self) -> int: return 0 def bad_override(self) -> str: # E: Return type "str" of "bad_override" incompatible with return type "int" in supertype "Base" return 'incompatible' def takes_base(base: Base) -> int: return base.x reveal_type(Base(1).copy()) # N: Revealed type is "tuple[builtins.int, fallback=__main__.Base]" reveal_type(Child(1).copy()) # N: Revealed type is "tuple[builtins.int, fallback=__main__.Child]" reveal_type(Base(1).good_override()) # N: Revealed type is "builtins.int" reveal_type(Child(1).good_override()) # N: Revealed type is "builtins.int" reveal_type(Base(1).bad_override()) # N: Revealed type is "builtins.int" reveal_type(takes_base(Base(1))) # N: Revealed type is "builtins.int" reveal_type(takes_base(Child(1))) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testNewNamedTupleIllegalNames] from typing import Callable, NamedTuple class XMethBad(NamedTuple): x: int def _fields(self): # E: Cannot overwrite NamedTuple attribute "_fields" return 'no chance for this' class MagicalFields(NamedTuple): x: int def __slots__(self) -> None: pass # E: Cannot overwrite NamedTuple attribute "__slots__" def __new__(cls) -> MagicalFields: pass # E: Cannot overwrite NamedTuple attribute "__new__" def _source(self) -> int: pass # E: Cannot overwrite NamedTuple attribute "_source" __annotations__ = {'x': float} # E: NamedTuple field name cannot start with an underscore: __annotations__ \ # E: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" \ # E: Cannot overwrite NamedTuple attribute "__annotations__" class AnnotationsAsAMethod(NamedTuple): x: int # This fails at runtime because typing.py assumes that __annotations__ is a dictionary. def __annotations__(self) -> float: # E: Cannot overwrite NamedTuple attribute "__annotations__" return 1.0 class ReuseNames(NamedTuple): x: int def x(self) -> str: # E: Name "x" already defined on line 22 return '' def y(self) -> int: return 0 y: str # E: Name "y" already defined on line 26 class ReuseCallableNamed(NamedTuple): z: Callable[[ReuseNames], int] def z(self) -> int: # E: Name "z" already defined on line 31 return 0 [builtins fixtures/dict.pyi] [case testNewNamedTupleDocString] from typing import NamedTuple class Documented(NamedTuple): """This is a docstring.""" x: int reveal_type(Documented.__doc__) # N: Revealed type is "builtins.str" reveal_type(Documented(1).x) # N: Revealed type is "builtins.int" class BadDoc(NamedTuple): x: int def __doc__(self) -> str: return '' reveal_type(BadDoc(1).__doc__()) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testNewNamedTupleClassMethod] from typing import NamedTuple class HasClassMethod(NamedTuple): x: str @classmethod def new(cls, f: str) -> 'HasClassMethod': reveal_type(cls) # N: Revealed type is "type[tuple[builtins.str, fallback=__main__.HasClassMethod]]" reveal_type(HasClassMethod) # N: Revealed type is "def (x: builtins.str) -> tuple[builtins.str, fallback=__main__.HasClassMethod]" return cls(x=f) [builtins fixtures/classmethod.pyi] [case testNewNamedTupleStaticMethod] from typing import NamedTuple class HasStaticMethod(NamedTuple): x: str @staticmethod def new(f: str) -> 'HasStaticMethod': return HasStaticMethod(x=f) [builtins fixtures/classmethod.pyi] [case testNewNamedTupleProperty] from typing import NamedTuple class HasStaticMethod(NamedTuple): x: str @property def size(self) -> int: reveal_type(self) # N: Revealed type is "tuple[builtins.str, fallback=__main__.HasStaticMethod]" return 4 [builtins fixtures/property.pyi] [case testTypingExtensionsNamedTuple] from typing_extensions import NamedTuple class Point(NamedTuple): x: int y: int bad_point = Point('foo') # E: Missing positional argument "y" in call to "Point" \ # E: Argument 1 to "Point" has incompatible type "str"; expected "int" point = Point(1, 2) x, y = point x = point.x reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.int" point.y = 6 # E: Property "y" defined in "Point" is read-only [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-classes.test0000644000175100017510000077611215112307767020553 0ustar00runnerrunner-- Methods -- ------- [case testMethodCall] class A: def foo(self, x: 'A') -> None: pass class B: def bar(self, x: 'B', y: A) -> None: pass a: A b: B a.foo(B()) # E: Argument 1 to "foo" of "A" has incompatible type "B"; expected "A" a.bar(B(), A()) # E: "A" has no attribute "bar" a.foo(A()) b.bar(B(), A()) [case testMethodCallWithSubtype] class A: def foo(self, x: 'A') -> None: pass def bar(self, x: 'B') -> None: pass class B(A): pass a: A a.foo(A()) a.foo(B()) a.bar(A()) # E: Argument 1 to "bar" of "A" has incompatible type "A"; expected "B" a.bar(B()) [case testInheritingMethod] class A: def foo(self, x: 'B') -> None: pass class B(A): pass a: B a.foo(A()) # Fail a.foo(B()) [targets __main__, __main__.A.foo] [out] main:6: error: Argument 1 to "foo" of "A" has incompatible type "A"; expected "B" [case testMethodCallWithInvalidNumberOfArguments] class A: def foo(self, x: 'A') -> None: pass a: A a.foo() # Fail a.foo(object(), A()) # Fail [out] main:5: error: Missing positional argument "x" in call to "foo" of "A" main:6: error: Too many arguments for "foo" of "A" main:6: error: Argument 1 to "foo" of "A" has incompatible type "object"; expected "A" [case testMethodBody] import typing class A: def f(self) -> None: a = object() # type: A # Fail [out] main:4: error: Incompatible types in assignment (expression has type "object", variable has type "A") [case testMethodArguments] import typing class A: def f(self, a: 'A', b: 'B') -> None: if int(): a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = A() b = B() a = a a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") class B: pass [out] [case testReturnFromMethod] import typing class A: def f(self) -> 'A': return B() # Fail return A() class B: pass [out] main:4: error: Incompatible return value type (got "B", expected "A") [case testSelfArgument] import typing class A: def f(self) -> None: o = self # type: B # Fail self.g() # Fail a = self # type: A self.f() class B: pass [out] main:4: error: Incompatible types in assignment (expression has type "A", variable has type "B") main:5: error: "A" has no attribute "g" [case testAssignToMethodViaInstance] import typing class A: def f(self): pass A().f = None # E: Cannot assign to a method \ # E: Incompatible types in assignment (expression has type "None", variable has type "Callable[[], Any]") [case testOverrideAttributeWithMethod] # This was crashing: # https://github.com/python/mypy/issues/10134 from typing import Protocol class Base: __hash__: None = None class Derived(Base): def __hash__(self) -> int: # E: Signature of "__hash__" incompatible with supertype "Base" \ # N: Superclass: \ # N: None \ # N: Subclass: \ # N: def __hash__(self) -> int pass # Correct: class CallableProtocol(Protocol): def __call__(self, arg: int) -> int: pass class CorrectBase: attr: CallableProtocol class CorrectDerived(CorrectBase): def attr(self, arg: int) -> int: pass [case testOverrideMethodWithAttribute] # The reverse should not crash as well: from typing import Callable class Base: def __hash__(self) -> int: pass class Derived(Base): __hash__ = 1 # E: Incompatible types in assignment (expression has type "int", base class "Base" defined the type as "Callable[[], int]") [case testOverridePartialAttributeWithMethod] # This was crashing: https://github.com/python/mypy/issues/11686. class Base: def __init__(self, arg: int): self.partial_type = [] # E: Need type annotation for "partial_type" (hint: "partial_type: list[] = ...") self.force_deferral = [] # Force inference of the `force_deferral` attribute in `__init__` to be # deferred to a later pass by providing a definition in another context, # which means `partial_type` remains only partially inferred. force_deferral = [] # E: Need type annotation for "force_deferral" (hint: "force_deferral: list[] = ...") class Derived(Base): def partial_type(self) -> int: # E: Signature of "partial_type" incompatible with supertype "Base" \ # N: Superclass: \ # N: list[Any] \ # N: Subclass: \ # N: def partial_type(self) -> int ... -- Attributes -- ---------- [case testReferToInvalidAttribute] class A: def __init__(self) -> None: self.x = object() a: A a.y # E: "A" has no attribute "y" a.y = object() # E: "A" has no attribute "y" a.x a.x = object() [case testReferToInvalidAttributeUnannotatedInit] class A: def __init__(self): self.x = object() a: A a.y # E: "A" has no attribute "y" a.y = object() # E: "A" has no attribute "y" a.x a.x = object() [case testArgumentTypeInference] class A: def __init__(self, aa: 'A', bb: 'B') -> None: self.a = aa self.b = bb class B: pass a: A b: B a.a = b # Fail a.b = a # Fail b.a # Fail a.a = a a.b = b [out] main:9: error: Incompatible types in assignment (expression has type "B", variable has type "A") main:10: error: Incompatible types in assignment (expression has type "A", variable has type "B") main:11: error: "B" has no attribute "a" [case testExplicitAttributeInBody] class A: x: A a: A a.x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") a.x = A() [case testAttributeDefinedInNonInitMethod] import typing class A: def f(self) -> None: self.x = 1 self.y = '' self.x = 1 a = A() a.x = 1 a.y = '' a.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") a.z = 0 # E: "A" has no attribute "z" [case testInheritanceAndAttributeAssignment] import typing class A: def f(self) -> None: self.x = 0 class B(A): def f(self) -> None: self.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [targets __main__, __main__.A.f, __main__.B.f] [case testAssignmentToAttributeInMultipleMethods] import typing class A: def f(self) -> None: self.x = 0 def g(self) -> None: self.x = '' # Fail def __init__(self) -> None: self.x = '' # Fail [out] main:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") main:8: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testClassNamesDefinedOnSelUsedInClassBody] class A(object): def f(self): self.attr = 1 attr = 0 class B(object): attr = 0 def f(self): self.attr = 1 class C(object): attr = 0 def f(self): self.attr = 1 attr = 0 class D(object): def g(self): self.attr = 1 attr = 0 def f(self): self.attr = 1 [out] [case testClassNamesDefinedOnSelUsedInClassBodyReveal] class A(object): def f(self) -> None: self.attr = 1 attr # E: Name "attr" is not defined class B(object): attr = 0 def f(self) -> None: reveal_type(self.attr) # N: Revealed type is "builtins.int" [out] -- Method overriding -- ----------------- [case testMethodOverridingWithIdenticalSignature] import typing class A: def f(self, x: 'A') -> None: pass def g(self, x: 'B' , y: object) -> 'A': pass def h(self) -> None: pass class B(A): def f(self, x: A) -> None: pass def g(self, x: 'B' , y: object) -> A: pass def h(self) -> None: pass [out] [case testMethodOverridingWithCovariantType] import typing class A: def f(self, x: 'A', y: 'B') -> 'A': pass def g(self, x: 'A', y: 'B') -> 'A': pass class B(A): def f(self, x: A, y: 'B') -> 'B': pass def g(self, x: A, y: A) -> 'A': pass [out] [case testMethodOverridingWithIncompatibleTypes] import typing class A: def f(self, x: 'A', y: 'B') -> 'A': pass def g(self, x: 'A', y: 'B') -> 'A': pass def h(self, x: 'A', y: 'B') -> 'A': pass class B(A): def f(self, x: 'B', y: 'B') -> A: pass # Fail def g(self, x: A, y: A) -> A: pass def h(self, x: A, y: 'B') -> object: pass # Fail [out] main:7: error: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "A" main:7: note: This violates the Liskov substitution principle main:7: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides main:9: error: Return type "object" of "h" incompatible with return type "A" in supertype "A" [case testMethodOverridingWithIncompatibleTypesOnMultipleLines] class A: def f(self, x: int, y: str) -> None: pass class B(A): def f( self, x: int, y: bool, ) -> None: pass [out] main:7: error: Argument 2 of "f" is incompatible with supertype "A"; supertype defines the argument type as "str" main:7: note: This violates the Liskov substitution principle main:7: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [case testMultiLineMethodOverridingWithIncompatibleTypesIgnorableAtArgument] class A: def f(self, x: int, y: str) -> None: pass class B(A): def f( self, x: int, y: bool, # type: ignore[override] ) -> None: pass [case testMultiLineMethodOverridingWithIncompatibleTypesIgnorableAtDefinition] class A: def f(self, x: int, y: str) -> None: pass class B(A): def f( # type: ignore[override] self, x: int, y: bool, ) -> None: pass [case testMultiLineMethodOverridingWithIncompatibleTypesWrongIgnore] class A: def f(self, x: int, y: str) -> None: pass class B(A): def f( # type: ignore[return-type] self, x: int, y: bool, ) -> None: pass [out] main:7: error: Argument 2 of "f" is incompatible with supertype "A"; supertype defines the argument type as "str" main:7: note: This violates the Liskov substitution principle main:7: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [case testEqMethodsOverridingWithNonObjects] class A: def __eq__(self, other: A) -> bool: pass # Fail [builtins fixtures/plugin_attrs.pyi] [out] main:2: error: Argument 1 of "__eq__" is incompatible with supertype "builtins.object"; supertype defines the argument type as "object" main:2: note: This violates the Liskov substitution principle main:2: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides main:2: note: It is recommended for "__eq__" to work with arbitrary objects, for example: main:2: note: def __eq__(self, other: object) -> bool: main:2: note: if not isinstance(other, A): main:2: note: return NotImplemented main:2: note: return [case testMethodOverridingWithIncompatibleArgumentCount] import typing class A: def f(self, x: 'A') -> None: pass def g(self, x: 'A', y: 'B') -> 'A': pass class B(A): def f(self, x: A, y: A) -> None: pass # Fail def g(self, x: A) -> A: pass # Fail [out] main:6: error: Signature of "f" incompatible with supertype "A" main:6: note: Superclass: main:6: note: def f(self, x: A) -> None main:6: note: Subclass: main:6: note: def f(self, x: A, y: A) -> None main:7: error: Signature of "g" incompatible with supertype "A" main:7: note: Superclass: main:7: note: def g(self, x: A, y: B) -> A main:7: note: Subclass: main:7: note: def g(self, x: A) -> A [case testMethodOverridingAcrossDeepInheritanceHierarchy1] import typing class A: def f(self, x: 'B') -> None: pass class B(A): pass class C(B): # with gap in implementations def f(self, x: 'C') -> None: # Fail pass [out] main:6: error: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "B" main:6: note: This violates the Liskov substitution principle main:6: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [case testMethodOverridingAcrossDeepInheritanceHierarchy2] import typing class A: def f(self) -> 'B': pass class B(A): def f(self) -> 'C': pass class C(B): # with multiple implementations def f(self) -> B: # Fail pass [out] main:7: error: Return type "B" of "f" incompatible with return type "C" in supertype "B" [case testMethodOverridingWithVoidReturnValue] import typing class A: def f(self) -> None: pass def g(self) -> 'A': pass class B(A): def f(self) -> A: pass # Fail def g(self) -> None: pass # Fail [out] main:6: error: Return type "A" of "f" incompatible with return type "None" in supertype "A" main:7: error: Return type "None" of "g" incompatible with return type "A" in supertype "A" [case testOverride__new__WithDifferentSignature] class A: def __new__(cls, x: int) -> A: pass class B(A): def __new__(cls) -> B: pass [case testOverride__new__WithLiteralReturnPassing] from typing import Literal class Falsy: def __bool__(self) -> Literal[False]: pass reveal_type(bool(Falsy())) # N: Revealed type is "Literal[False]" reveal_type(int()) # N: Revealed type is "Literal[0]" [builtins fixtures/literal__new__.pyi] [typing fixtures/typing-medium.pyi] [case testOverride__new__WithLiteralReturnFailing] from typing import Literal class Foo: def __new__(cls) -> Literal[1]: pass # E: Incompatible return type for "__new__" (returns "Literal[1]", but must return a subtype of "Foo") [builtins fixtures/__new__.pyi] [typing fixtures/typing-medium.pyi] [case testOverride__new__AndCallObject] from typing import TypeVar, Generic class A: def __new__(cls, x: int) -> 'A': return object.__new__(cls) T = TypeVar('T') class B(Generic[T]): def __new__(cls, foo: T) -> 'B[T]': x = object.__new__(cls) # object.__new__ doesn't have a great type :( reveal_type(x) # N: Revealed type is "Any" return x [builtins fixtures/__new__.pyi] [case testInnerFunctionNotOverriding] class A: def f(self) -> int: pass class B(A): def g(self) -> None: def f(self) -> str: pass [case testOverride__init_subclass__WithDifferentSignature] class A: def __init_subclass__(cls, x: int) -> None: pass class B(A): # E: Missing positional argument "x" in call to "__init_subclass__" of "A" def __init_subclass__(cls) -> None: pass [case testOverrideWithDecorator] from typing import Callable def int_to_none(f: Callable[..., int]) -> Callable[..., None]: ... def str_to_int(f: Callable[..., str]) -> Callable[..., int]: ... class A: def f(self) -> None: pass def g(self) -> str: pass def h(self) -> None: pass class B(A): @int_to_none def f(self) -> int: pass @str_to_int def g(self) -> str: pass # Fail @int_to_none @str_to_int def h(self) -> str: pass [out] main:15: error: Signature of "g" incompatible with supertype "A" main:15: note: Superclass: main:15: note: def g(self) -> str main:15: note: Subclass: main:15: note: def g(*Any, **Any) -> int [case testOverrideDecorated] from typing import Callable def str_to_int(f: Callable[..., str]) -> Callable[..., int]: ... class A: @str_to_int def f(self) -> str: pass @str_to_int def g(self) -> str: pass @str_to_int def h(self) -> str: pass class B(A): def f(self) -> int: pass def g(self) -> str: pass # Fail @str_to_int def h(self) -> str: pass [out] main:15: error: Signature of "g" incompatible with supertype "A" main:15: note: Superclass: main:15: note: def g(*Any, **Any) -> int main:15: note: Subclass: main:15: note: def g(self) -> str [case testOverrideWithDecoratorReturningAny] def dec(f): pass class A: def f(self) -> str: pass class B(A): @dec def f(self) -> int: pass [case testOverrideWithDecoratorReturningCallable] from typing import Any, Callable, TypeVar class Base: def get(self, a: str) -> None: ... def dec(fn: Any) -> Callable[[Any, int], None]: ... class Derived(Base): @dec def get(self) -> None: ... # E: Argument 1 of "get" is incompatible with supertype "Base"; supertype defines the argument type as "str" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [builtins fixtures/tuple.pyi] [case testOverrideWithDecoratorReturningCallable2] # flags: --pretty from typing import Any, Callable, TypeVar _C = TypeVar("_C", bound=Callable[..., Any]) def infer_signature(f: _C) -> Callable[[Any], _C]: ... class Base: def get(self, a: str, b: str, c: str) -> None: ... def post(self, a: str, b: str) -> None: ... # Third argument incompatible def get(self, a: str, b: str, c: int) -> None: ... # Second argument incompatible - still should not map to **kwargs def post(self, a: str, b: int) -> None: ... class Derived(Base): @infer_signature(get) def get(self, *args: Any, **kwargs: Any) -> None: ... @infer_signature(post) def post(self, *args: Any, **kwargs: Any) -> None: ... [builtins fixtures/tuple.pyi] [out] main:20: error: Argument 3 of "get" is incompatible with supertype "Base"; supertype defines the argument type as "str" def get(self, *args: Any, **kwargs: Any) -> None: ... ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ main:20: note: This violates the Liskov substitution principle main:20: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides main:23: error: Argument 2 of "post" is incompatible with supertype "Base"; supertype defines the argument type as "str" def post(self, *args: Any, **kwargs: Any) -> None: ... ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ main:23: note: This violates the Liskov substitution principle main:23: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [case testOverrideWithDecoratorReturningInstance] def dec(f) -> str: pass class A: def f(self) -> str: pass @dec def g(self) -> int: pass @dec def h(self) -> int: pass class B(A): @dec def f(self) -> int: pass # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: def f(self) -> str \ # N: Subclass: \ # N: str def g(self) -> int: pass # E: Signature of "g" incompatible with supertype "A" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: def g(self) -> int @dec def h(self) -> str: pass [case testOverrideIncompatibleWithMultipleSupertypes] class A: def f(self, *, a: int) -> None: return class B(A): def f(self, *, b: int) -> None: # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: def f(self, *, a: int) -> None \ # N: Subclass: \ # N: def f(self, *, b: int) -> None return class C(B): def f(self, *, c: int) -> None: # E: Signature of "f" incompatible with supertype "B" \ # N: Superclass: \ # N: def f(self, *, b: int) -> None \ # N: Subclass: \ # N: def f(self, *, c: int) -> None \ # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: def f(self, *, a: int) -> None \ # N: Subclass: \ # N: def f(self, *, c: int) -> None return [case testOverrideStaticMethodWithStaticMethod] class A: @staticmethod def f(x: int, y: str) -> None: pass @staticmethod def g(x: int, y: str) -> None: pass class B(A): @staticmethod def f(x: int, y: str) -> None: pass @staticmethod def g(x: str, y: str) -> None: pass # E: Argument 1 of "g" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [builtins fixtures/classmethod.pyi] [case testOverrideClassMethodWithClassMethod] class A: @classmethod def f(cls, x: int, y: str) -> None: pass @classmethod def g(cls, x: int, y: str) -> None: pass class B(A): @classmethod def f(cls, x: int, y: str) -> None: pass @classmethod def g(cls, x: str, y: str) -> None: pass # E: Argument 1 of "g" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [builtins fixtures/classmethod.pyi] [case testOverrideClassMethodWithStaticMethod] class A: @classmethod def f(cls, x: int) -> None: pass @classmethod def g(cls, x: int) -> int: pass @classmethod def h(cls) -> int: pass class B(A): @staticmethod def f(x: int) -> None: pass @staticmethod def g(x: str) -> int: pass # E: Argument 1 of "g" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides @staticmethod def h() -> int: pass [builtins fixtures/classmethod.pyi] [case testOverrideStaticMethodWithClassMethod] class A: @staticmethod def f(x: int) -> None: pass @staticmethod def g(x: str) -> int: pass @staticmethod def h() -> int: pass class B(A): @classmethod def f(cls, x: int) -> None: pass @classmethod def g(cls, x: int) -> int: pass # E: Argument 1 of "g" is incompatible with supertype "A"; supertype defines the argument type as "str" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides @classmethod def h(cls) -> int: pass [builtins fixtures/classmethod.pyi] [case testOverrideReplaceMethod] # flags: --show-error-codes from typing import Optional from typing_extensions import Self class A: def __replace__(self, x: Optional[str]) -> Self: pass class B(A): def __replace__(self, x: str) -> Self: pass # E: \ # E: Argument 1 of "__replace__" is incompatible with supertype "A"; supertype defines the argument type as "Optional[str]" [override] \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [builtins fixtures/tuple.pyi] [case testAllowCovarianceInReadOnlyAttributes] from typing import Callable, TypeVar T = TypeVar('T') class X: pass class Y(X): pass def dec(f: Callable[..., T]) -> T: pass class A: @dec def f(self) -> X: pass class B(A): @dec def f(self) -> Y: pass [case testOverrideCallableAttributeWithMethod] from typing import Callable class A: f1: Callable[[str], None] f2: Callable[[str], None] f3: Callable[[str], None] class B(A): def f1(self, x: object) -> None: pass @classmethod def f2(cls, x: object) -> None: pass @staticmethod def f3(x: object) -> None: pass [builtins fixtures/classmethod.pyi] [case testOverrideCallableAttributeWithMethodMutableOverride] # flags: --enable-error-code=mutable-override from typing import Callable class A: f1: Callable[[str], None] f2: Callable[[str], None] f3: Callable[[str], None] class B(A): def f1(self, x: object) -> None: pass # E: Covariant override of a mutable attribute (base class "A" defined the type as "Callable[[str], None]", override has type "Callable[[object], None]") @classmethod def f2(cls, x: object) -> None: pass # E: Covariant override of a mutable attribute (base class "A" defined the type as "Callable[[str], None]", override has type "Callable[[object], None]") @staticmethod def f3(x: object) -> None: pass # E: Covariant override of a mutable attribute (base class "A" defined the type as "Callable[[str], None]", override has type "Callable[[object], None]") [builtins fixtures/classmethod.pyi] [case testOverrideCallableAttributeWithSettableProperty] from typing import Callable class A: f: Callable[[str], None] class B(A): @property def f(self) -> Callable[[object], None]: pass @f.setter def f(self, x: object) -> None: pass [builtins fixtures/property.pyi] [case testOverrideCallableAttributeWithSettablePropertyMutableOverride] # flags: --enable-error-code=mutable-override from typing import Callable class A: f: Callable[[str], None] class B(A): @property def f(self) -> Callable[[object], None]: pass @f.setter def f(self, x: object) -> None: pass [builtins fixtures/property.pyi] [case testOverrideCallableUnionAttributeWithMethod] from typing import Callable, Union class A: f1: Union[Callable[[str], str], str] f2: Union[Callable[[str], str], str] f3: Union[Callable[[str], str], str] f4: Union[Callable[[str], str], str] class B(A): def f1(self, x: str) -> str: pass def f2(self, x: object) -> str: pass @classmethod def f3(cls, x: str) -> str: pass @staticmethod def f4(x: str) -> str: pass [builtins fixtures/classmethod.pyi] [case testOverrideCallableUnionAttributeWithMethodMutableOverride] # flags: --enable-error-code=mutable-override from typing import Callable, Union class A: f1: Union[Callable[[str], str], str] f2: Union[Callable[[str], str], str] f3: Union[Callable[[str], str], str] f4: Union[Callable[[str], str], str] class B(A): def f1(self, x: str) -> str: # E: Covariant override of a mutable attribute (base class "A" defined the type as "Union[Callable[[str], str], str]", override has type "Callable[[str], str]") pass def f2(self, x: object) -> str: # E: Covariant override of a mutable attribute (base class "A" defined the type as "Union[Callable[[str], str], str]", override has type "Callable[[object], str]") pass @classmethod def f3(cls, x: str) -> str: # E: Covariant override of a mutable attribute (base class "A" defined the type as "Union[Callable[[str], str], str]", override has type "Callable[[str], str]") pass @staticmethod def f4(x: str) -> str: # E: Covariant override of a mutable attribute (base class "A" defined the type as "Union[Callable[[str], str], str]", override has type "Callable[[str], str]") pass [builtins fixtures/classmethod.pyi] -- Constructors -- ------------ [case testTrivialConstructor] class A: def __init__(self) -> None: pass a = A() # type: A b = A() # type: B # E: Incompatible types in assignment (expression has type "A", variable has type "B") class B: pass [case testConstructor] class A: def __init__(self, x: 'B') -> None: pass class B: pass a = A(B()) # type: A aa = A(object()) # type: A # E: Argument 1 to "A" has incompatible type "object"; expected "B" b = A(B()) # type: B # E: Incompatible types in assignment (expression has type "A", variable has type "B") [case testConstructorWithTwoArguments] class A: def __init__(self, x: 'B', y: 'C') -> None: pass class B: pass class C(B): pass a = A(C(), B()) # type: A # E: Argument 2 to "A" has incompatible type "B"; expected "C" [case testInheritedConstructor] class B(A): pass class C: pass class D: pass b = B(C()) # type: B a = B(D()) # type: A # E: Argument 1 to "B" has incompatible type "D"; expected "C" class A: def __init__(self, x: 'C') -> None: pass [case testOverridingWithIncompatibleConstructor] class A: def __init__(self, x: 'C') -> None: pass class B(A): def __init__(self) -> None: pass class C: pass A() # E: Missing positional argument "x" in call to "A" B(C()) # E: Too many arguments for "B" A(C()) B() [case testConstructorWithReturnValueType] import typing class A: def __init__(self) -> 'A': pass [out] main:3: error: The return type of "__init__" must be None [case testConstructorWithImplicitReturnValueType] import typing class A: def __init__(self, x: int): pass [out] [case testDecoratedConstructorWithImplicitReturnValueType] import typing from typing import Callable def deco(fn: Callable) -> Callable: return fn class A: @deco def __init__(self, x: int): pass [out] [case testOverloadedConstructorWithImplicitReturnValueType] from foo import * [file foo.pyi] from typing import overload class Foo: @overload def __init__(self, a: int): pass @overload def __init__(self, a: str): pass [case testConstructorWithAnyReturnValueType] import typing from typing import Any class A: def __init__(self) -> Any: pass # E: The return type of "__init__" must be None [case testDecoratedConstructorWithAnyReturnValueType] import typing from typing import Callable, Any def deco(fn: Callable) -> Callable: return fn class A: @deco def __init__(self) -> Any: pass # E: The return type of "__init__" must be None [case testOverloadedConstructorWithAnyReturnValueType] from foo import * [file foo.pyi] from typing import overload, Any class Foo: @overload def __init__(self, a: int) -> Any: # E: The return type of "__init__" must be None pass @overload def __init__(self, a: str) -> Any: # E: The return type of "__init__" must be None pass [case testInitSubclassWithReturnValueType] import typing class A: def __init_subclass__(cls) -> 'A': pass [out] main:3: error: The return type of "__init_subclass__" must be None [case testInitSubclassWithImplicitReturnValueType] import typing class A: def __init_subclass__(cls, x: int=1): pass [out] [case testDecoratedInitSubclassWithImplicitReturnValueType] import typing from typing import Callable def deco(fn: Callable) -> Callable: return fn class A: @deco def __init_subclass__(cls, x: int=1): pass [out] [case testOverloadedInitSubclassWithImplicitReturnValueType] from foo import * [file foo.pyi] from typing import overload class Foo: @overload def __init_subclass__(cls, a: int): pass @overload def __init_subclass__(cls, a: str): pass [case testInitSubclassWithAnyReturnValueType] import typing from typing import Any class A: def __init_subclass__(cls) -> Any: pass # E: The return type of "__init_subclass__" must be None [case testDecoratedInitSubclassWithAnyReturnValueType] import typing from typing import Callable, Any def deco(fn: Callable) -> Callable: return fn class A: @deco def __init_subclass__(cls) -> Any: pass # E: The return type of "__init_subclass__" must be None [out] [case testOverloadedInitSubclassWithAnyReturnValueType] from foo import * [file foo.pyi] from typing import overload, Any class Foo: @overload def __init_subclass__(cls, a: int) -> Any: # E: The return type of "__init_subclass__" must be None pass @overload def __init_subclass__(cls, a: str) -> Any: # E: The return type of "__init_subclass__" must be None pass [case testGlobalFunctionInitWithReturnType] class A: pass class B: pass def __init__() -> 'A': pass a = __init__() # type: A b = __init__() # type: B # E: Incompatible types in assignment (expression has type "A", variable has type "B") [case testAccessingInit] from typing import Any, cast class A: def __init__(self, a: 'A') -> None: pass a: A a.__init__(a) # E: Accessing "__init__" on an instance is unsound, since instance.__init__ could be from an incompatible subclass (cast(Any, a)).__init__(a) [case testDeepInheritanceHierarchy] class A: pass class B(A): pass class C(B): pass class D(C): pass class D2(C): pass d = C() # type: D # E: Incompatible types in assignment (expression has type "C", variable has type "D") if int(): d = B() # E: Incompatible types in assignment (expression has type "B", variable has type "D") if int(): d = A() # E: Incompatible types in assignment (expression has type "A", variable has type "D") if int(): d = D2() # E: Incompatible types in assignment (expression has type "D2", variable has type "D") a = D() # type: A if int(): a = D2() b = D() # type: B if int(): b = D2() [case testConstructorJoinsWithCustomMetaclass] from typing import TypeVar import abc def func() -> None: pass class NormalClass: pass class WithMetaclass(metaclass=abc.ABCMeta): pass T = TypeVar('T') def join(x: T, y: T) -> T: pass f1 = join(func, WithMetaclass) reveal_type(f1()) # N: Revealed type is "Union[__main__.WithMetaclass, None]" f2 = join(WithMetaclass, func) reveal_type(f2()) # N: Revealed type is "Union[__main__.WithMetaclass, None]" -- Attribute access in class body -- ------------------------------ [case testDataAttributeRefInClassBody] import typing class B: pass class A: x = B() y = x b = x # type: B if int(): b = x c = x # type: A # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): c = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") [out] [case testMethodRefInClassBody] from typing import Callable class B: pass class A: def f(self) -> None: pass g = f h = f # type: Callable[[A], None] if int(): h = f g = h ff = f # type: Callable[[B], None] # E: Incompatible types in assignment (expression has type "Callable[[A], None]", variable has type "Callable[[B], None]") if int(): g = ff # E: Incompatible types in assignment (expression has type "Callable[[B], None]", variable has type "Callable[[A], None]") [out] -- Arbitrary statements in class body -- ---------------------------------- [case testStatementsInClassBody] import typing class B: pass class A: for x in [A()]: y = x if int(): y = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): x = A() if int(): y = A() if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [builtins fixtures/for.pyi] [out] -- Class attributes -- ---------------- [case testAccessMethodViaClass] import typing class A: def f(self) -> None: pass A.f(A()) A.f(object()) # E: Argument 1 to "f" of "A" has incompatible type "object"; expected "A" A.f() # E: Missing positional argument "self" in call to "f" of "A" A.f(None, None) # E: Too many arguments for "f" of "A" \ # E: Argument 1 to "f" of "A" has incompatible type "None"; expected "A" [case testAccessAttributeViaClass] import typing class B: pass class A: x: A a = A.x # type: A b = A.x # type: B # E: Incompatible types in assignment (expression has type "A", variable has type "B") [case testAccessingUndefinedAttributeViaClass] import typing class A: pass A.x # E: "type[A]" has no attribute "x" [case testAccessingUndefinedAttributeViaClassWithOverloadedInit] from foo import * [file foo.pyi] from typing import overload class A: @overload def __init__(self): pass @overload def __init__(self, x): pass A.x # E: "type[A]" has no attribute "x" [case testAccessMethodOfClassWithOverloadedInit] from foo import * [file foo.pyi] from typing import overload, Any class A: @overload def __init__(self) -> None: pass @overload def __init__(self, x: Any) -> None: pass def f(self) -> None: pass A.f(A()) A.f() # E: Missing positional argument "self" in call to "f" of "A" [case testAssignmentToClassDataAttribute] import typing class B: pass class A: x: B A.x = B() A.x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "B") [case testAssignmentToInferredClassDataAttribute] import typing class B: pass class A: x = B() A.x = B() A.x = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") [case testInitMethodUnbound] class B: pass class A: def __init__(self, b: B) -> None: pass a: A b: B A.__init__(a, b) A.__init__(b, b) # E: Argument 1 to "__init__" of "A" has incompatible type "B"; expected "A" A.__init__(a, a) # E: Argument 2 to "__init__" of "A" has incompatible type "A"; expected "B" [case testAssignToMethodViaClass] import typing class A: def f(self): pass A.f = None # E: Cannot assign to a method \ # E: Incompatible types in assignment (expression has type "None", variable has type "Callable[[A], Any]") [case testAssignToNestedClassViaClass] import typing class A: class B: pass A.B = None # E: Cannot assign to a type \ # E: Incompatible types in assignment (expression has type "None", variable has type "type[B]") [targets __main__] [case testAccessingClassAttributeWithTypeInferenceIssue] x = C.x # E: Cannot determine type of "x" # E: Name "C" is used before definition def f() -> int: return 1 class C: x = f() [builtins fixtures/list.pyi] [case testAccessingClassAttributeWithTypeInferenceIssue2] class C: x = [] x = C.x [builtins fixtures/list.pyi] [out] main:2: error: Need type annotation for "x" (hint: "x: list[] = ...") [case testAccessingGenericClassAttribute] from typing import Generic, TypeVar T = TypeVar('T') class A(Generic[T]): x = None # type: T A.x # E: Access to generic instance variables via class is ambiguous A[int].x # E: Access to generic instance variables via class is ambiguous [targets __main__] [case testAccessingNestedGenericClassAttribute] from typing import Generic, List, TypeVar, Union T = TypeVar('T') U = TypeVar('U') class A(Generic[T, U]): x = None # type: Union[T, List[U]] A.x # E: Access to generic instance variables via class is ambiguous A[int, int].x # E: Access to generic instance variables via class is ambiguous [builtins fixtures/list.pyi] -- Nested classes -- -------------- [case testClassWithinFunction] def f() -> None: class A: def g(self) -> None: pass a: A a.g() a.g(a) # E: Too many arguments for "g" of "A" [targets __main__, __main__.f] [case testGenericClassWithinFunction] from typing import TypeVar def test() -> None: T = TypeVar('T', bound='Foo') class Foo: def returns_int(self) -> int: return 0 def bar(self, foo: T) -> T: x: T = foo reveal_type(x) # N: Revealed type is "T`-1" reveal_type(x.returns_int()) # N: Revealed type is "builtins.int" return foo reveal_type(Foo.bar) # N: Revealed type is "def [T <: __main__.Foo@5] (self: __main__.Foo@5, foo: T`1) -> T`1" [case testGenericClassWithInvalidTypevarUseWithinFunction] from typing import TypeVar def test() -> None: T = TypeVar('T', bound='Foo') class Foo: invalid: T # E: Type variable "T" is unbound \ # N: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) \ # N: (Hint: Use "T" in function signature to bind "T" inside a function) def bar(self, foo: T) -> T: pass [case testConstructNestedClass] import typing class A: class B: pass b = B() if int(): b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = B(b) # E: Too many arguments for "B" [out] [case testConstructNestedClassWithCustomInit] import typing class A: def f(self) -> None: class B: def __init__(self, a: 'A') -> None: pass b = B(A()) if int(): b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") b = B() # E: Missing positional argument "a" in call to "B" [out] [case testDeclareVariableWithNestedClassType] def f() -> None: class A: pass a: A if int(): a = A() a = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") [out] [case testExternalReferenceToClassWithinClass] class A: class B: pass b: A.B if int(): b = A.B() if int(): b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = A.B(b) # E: Too many arguments for "B" [case testAliasNestedClass] class Outer: class Inner: def make_int(self) -> int: return 1 reveal_type(Inner().make_int) # N: Revealed type is "def () -> builtins.int" some_int = Inner().make_int() reveal_type(Outer.Inner.make_int) # N: Revealed type is "def (self: __main__.Outer.Inner) -> builtins.int" reveal_type(Outer().some_int) # N: Revealed type is "builtins.int" Bar = Outer.Inner reveal_type(Bar.make_int) # N: Revealed type is "def (self: __main__.Outer.Inner) -> builtins.int" x = Bar() # type: Bar def produce() -> Bar: reveal_type(Bar().make_int) # N: Revealed type is "def () -> builtins.int" return Bar() [case testInnerClassPropertyAccess] class Foo: class Meta: name = 'Bar' meta = Meta reveal_type(Foo.Meta) # N: Revealed type is "def () -> __main__.Foo.Meta" reveal_type(Foo.meta) # N: Revealed type is "def () -> __main__.Foo.Meta" reveal_type(Foo.Meta.name) # N: Revealed type is "builtins.str" reveal_type(Foo.meta.name) # N: Revealed type is "builtins.str" reveal_type(Foo().Meta) # N: Revealed type is "def () -> __main__.Foo.Meta" reveal_type(Foo().meta) # N: Revealed type is "def () -> __main__.Foo.Meta" reveal_type(Foo().meta.name) # N: Revealed type is "builtins.str" reveal_type(Foo().Meta.name) # N: Revealed type is "builtins.str" -- Declaring attribute type in method -- ---------------------------------- [case testDeclareAttributeTypeInInit] class A: def __init__(self): self.x: int # N: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs a: A a.x = 1 a.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testAccessAttributeDeclaredInInitBeforeDeclaration] a: A a.x = 1 a.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") class A: def __init__(self): self.x: int # N: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs -- Special cases -- ------------- [case testMultipleClassDefinition] class A: pass class A: pass # E: Name "A" already defined on line 1 A() [case testDocstringInClass] import typing class A: """Foo""" class B: 'x' y = B() [builtins fixtures/primitives.pyi] [case testErrorMessageInFunctionNestedWithinMethod] import typing class A: def f(self) -> None: def g() -> None: "" + 1 # E: Unsupported operand types for + ("str" and "int") "" + 1 # E: Unsupported operand types for + ("str" and "int") [builtins fixtures/primitives.pyi] -- Static methods -- -------------- [case testSimpleStaticMethod] import typing class A: @staticmethod def f(x: int) -> None: pass A.f(1) A().f(1) A.f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" A().f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [builtins fixtures/staticmethod.pyi] [case testBuiltinStaticMethod] import typing int.from_bytes(b'', '') int.from_bytes('', '') # E: Argument 1 to "from_bytes" of "int" has incompatible type "str"; expected "bytes" [builtins fixtures/staticmethod.pyi] [case testAssignStaticMethodOnInstance] import typing class A: @staticmethod def f(x: int) -> None: pass A().f = A.f # E: Cannot assign to a method [builtins fixtures/staticmethod.pyi] -- Class methods -- ------------- [case testSimpleClassMethod] import typing class A: @classmethod def f(cls, x: int) -> None: pass A.f(1) A().f(1) A.f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" A().f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [builtins fixtures/classmethod.pyi] [targets __main__, __main__.A.f] [case testBuiltinClassMethod] import typing int.from_bytes(b'', '') int.from_bytes('', '') # E: Argument 1 to "from_bytes" of "int" has incompatible type "str"; expected "bytes" [builtins fixtures/classmethod.pyi] [case testAssignClassMethodOnClass] import typing class A: @classmethod def f(cls, x: int) -> None: pass A.f = A.f # E: Cannot assign to a method [builtins fixtures/classmethod.pyi] [case testAssignClassMethodOnInstance] import typing class A: @classmethod def f(cls, x: int) -> None: pass A().f = A.f # E: Cannot assign to a method [builtins fixtures/classmethod.pyi] [case testClassMethodCalledInClassMethod] import typing class C: @classmethod def foo(cls) -> None: pass @classmethod def bar(cls) -> None: cls() cls(1) # E: Too many arguments for "C" cls.bar() cls.bar(1) # E: Too many arguments for "bar" of "C" cls.bozo() # E: "type[C]" has no attribute "bozo" [builtins fixtures/classmethod.pyi] [out] [case testClassMethodCalledOnClass] import typing class C: @classmethod def foo(cls) -> None: pass C.foo() C.foo(1) # E: Too many arguments for "foo" of "C" C.bozo() # E: "type[C]" has no attribute "bozo" [builtins fixtures/classmethod.pyi] [case testClassMethodCalledOnInstance] import typing class C: @classmethod def foo(cls) -> None: pass C().foo() C().foo(1) # E: Too many arguments for "foo" of "C" C.bozo() # E: "type[C]" has no attribute "bozo" [builtins fixtures/classmethod.pyi] [case testClassMethodMayCallAbstractMethod] from abc import abstractmethod import typing class C: @classmethod def foo(cls) -> None: cls().bar() @abstractmethod def bar(self) -> None: pass [builtins fixtures/classmethod.pyi] [case testClassMethodSubclassing] class A: @classmethod def f(cls) -> None: pass def g(self) -> None: pass class B(A): def f(self) -> None: pass # Fail @classmethod def g(cls) -> None: pass class C(A): @staticmethod def f() -> None: pass [builtins fixtures/classmethod.pyi] [out] main:8: error: Signature of "f" incompatible with supertype "A" main:8: note: Superclass: main:8: note: @classmethod main:8: note: def f(cls) -> None main:8: note: Subclass: main:8: note: def f(self) -> None [case testClassMethodAndStaticMethod] class C: @classmethod # E: Cannot have both classmethod and staticmethod @staticmethod def foo(cls) -> None: pass [builtins fixtures/classmethod.pyi] -- Properties -- ---------- [case testAccessingReadOnlyProperty] import typing class A: @property def f(self) -> str: pass a = A() reveal_type(a.f) # N: Revealed type is "builtins.str" [builtins fixtures/property.pyi] [case testAssigningToReadOnlyProperty] import typing class A: @property def f(self) -> str: pass A().f = '' # E: Property "f" defined in "A" is read-only [builtins fixtures/property.pyi] [case testAssigningToInheritedReadOnlyProperty] class A: @property def f(self) -> str: pass class B(A): pass class C(A): @property def f(self) -> str: pass A().f = '' # E: Property "f" defined in "A" is read-only B().f = '' # E: Property "f" defined in "A" is read-only C().f = '' # E: Property "f" defined in "C" is read-only [builtins fixtures/property.pyi] [case testPropertyGetterBody] import typing class A: @property def f(self) -> str: self.x = 1 self.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") return '' [builtins fixtures/property.pyi] [case testPropertyNameIsChecked] class A: @property def f(self) -> str: ... @not_f.setter # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self, val: str) -> None: ... a = A() reveal_type(a.f) # N: Revealed type is "builtins.str" a.f = '' # E: Property "f" defined in "A" is read-only class B: @property def f(self) -> str: ... @not_f.deleter # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self) -> None: ... class C: @property def f(self) -> str: ... @not_f.setter # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self, val: str) -> None: ... @not_f.deleter # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self) -> None: ... [builtins fixtures/property.pyi] [case testPropertyAttributeIsChecked] class A: @property def f(self) -> str: ... @f.unknown # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self, val: str) -> None: ... @f.bad.setter # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self, val: str) -> None: ... @f # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self, val: str) -> None: ... @int # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self, val: str) -> None: ... [builtins fixtures/property.pyi] [case testPropertyNameAndAttributeIsCheckedPretty] # flags: --pretty class A: @property def f(self) -> str: ... @not_f.setter def f(self, val: str) -> None: ... @not_f.deleter def f(self) -> None: ... class B: @property def f(self) -> str: ... @f.unknown def f(self, val: str) -> None: ... [builtins fixtures/property.pyi] [out] main:5: error: Only supported top decorators are "@f.setter" and "@f.deleter" @not_f.setter ^~~~~~~~~~~~ main:7: error: Only supported top decorators are "@f.setter" and "@f.deleter" @not_f.deleter ^~~~~~~~~~~~~ main:13: error: Only supported top decorators are "@f.setter" and "@f.deleter" @f.unknown ^~~~~~~~~ [case testPropertyGetterDecoratorIsRejected] class A: @property def f(self) -> str: ... @f.getter # E: Only supported top decorators are "@f.setter" and "@f.deleter" def f(self, val: str) -> None: ... [builtins fixtures/property.pyi] [case testDynamicallyTypedProperty] import typing class A: @property def f(self): pass a = A() a.f.xx a.f = '' # E: Property "f" defined in "A" is read-only [builtins fixtures/property.pyi] [case testPropertyWithSetter] import typing class A: @property def f(self) -> int: return 1 @f.setter def f(self, x: int) -> None: pass a = A() a.f = a.f a.f.x # E: "int" has no attribute "x" a.f = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") a.f = 1 reveal_type(a.f) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [case testPropertyWithDeleterButNoSetter] import typing class A: @property def f(self) -> int: return 1 @f.deleter def f(self, x) -> None: pass a = A() a.f = a.f # E: Property "f" defined in "A" is read-only a.f.x # E: "int" has no attribute "x" [builtins fixtures/property.pyi] -- Descriptors -- ----------- [case testAccessingNonDataDescriptor] from typing import Any class D: def __get__(self, inst: Any, own: Any) -> str: return 's' class A: f = D() a = A() reveal_type(a.f) # N: Revealed type is "builtins.str" [case testSettingNonDataDescriptor] from typing import Any class D: def __get__(self, inst: Any, own: Any) -> str: return 's' class A: f = D() a = A() a.f = 'foo' a.f = D() # E: Incompatible types in assignment (expression has type "D", variable has type "str") [case testSettingDataDescriptor] from typing import Any class D: def __get__(self, inst: Any, own: Any) -> str: return 's' def __set__(self, inst: Any, value: str) -> None: pass class A: f = D() a = A() a.f = '' a.f = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testSettingDescriptorWithOverloadedDunderSet1] from typing import Any, overload, Union class D: @overload def __set__(self, inst: Any, value: str) -> None: pass @overload def __set__(self, inst: Any, value: int) -> None: pass def __set__(self, inst: Any, value: Union[str, int]) -> None: pass class A: f = D() a = A() a.f = '' a.f = 1 a.f = 1.5 # E [out] main:13: error: No overload variant of "__set__" of "D" matches argument types "A", "float" main:13: note: Possible overload variants: main:13: note: def __set__(self, inst: Any, value: str) -> None main:13: note: def __set__(self, inst: Any, value: int) -> None [case testSettingDescriptorWithOverloadedDunderSet2] from typing import overload, Union class D: @overload def __set__(self, inst: A, value: str) -> None: pass @overload def __set__(self, inst: B, value: int) -> None: pass def __set__(self, inst: Union[A, B], value: Union[str, int]) -> None: pass class A: f = D() class B: f = D() a = A() b = B() a.f = '' b.f = 1 a.f = 1 # E b.f = '' # E [out] main:16: error: No overload variant of "__set__" of "D" matches argument types "A", "int" main:16: note: Possible overload variants: main:16: note: def __set__(self, inst: A, value: str) -> None main:16: note: def __set__(self, inst: B, value: int) -> None main:17: error: No overload variant of "__set__" of "D" matches argument types "B", "str" main:17: note: Possible overload variants: main:17: note: def __set__(self, inst: A, value: str) -> None main:17: note: def __set__(self, inst: B, value: int) -> None [case testReadingDescriptorWithoutDunderGet] from typing import Union, Any class D: def __set__(self, inst: Any, value: str) -> None: pass class A: f = D() def __init__(self): self.f = 's' a = A() reveal_type(a.f) # N: Revealed type is "__main__.D" [case testAccessingDescriptorFromClass] from d import D, Base class A(Base): f = D() reveal_type(A.f) # N: Revealed type is "d.D" reveal_type(A().f) # N: Revealed type is "builtins.str" [file d.pyi] from typing import TypeVar, Type, Generic, overload class Base: pass class D: def __init__(self) -> None: pass @overload def __get__(self, inst: None, own: Type[Base]) -> D: pass @overload def __get__(self, inst: Base, own: Type[Base]) -> str: pass [builtins fixtures/bool.pyi] [case testAccessingDescriptorFromClassWrongBase] from d import D, Base class A: f = D() reveal_type(A.f) reveal_type(A().f) [file d.pyi] from typing import TypeVar, Type, Generic, overload class Base: pass class D: def __init__(self) -> None: pass @overload def __get__(self, inst: None, own: Type[Base]) -> D: pass @overload def __get__(self, inst: Base, own: Type[Base]) -> str: pass [builtins fixtures/bool.pyi] [out] main:4: error: Argument 2 to "__get__" of "D" has incompatible type "type[A]"; expected "type[Base]" main:4: note: Revealed type is "d.D" main:5: error: No overload variant of "__get__" of "D" matches argument types "A", "type[A]" main:5: note: Possible overload variants: main:5: note: def __get__(self, inst: None, own: type[Base]) -> D main:5: note: def __get__(self, inst: Base, own: type[Base]) -> str main:5: note: Revealed type is "Any" [case testAccessingGenericNonDataDescriptor] from typing import TypeVar, Type, Generic, Any V = TypeVar('V') class D(Generic[V]): def __init__(self, v: V) -> None: self.v = v def __get__(self, inst: Any, own: Type) -> V: return self.v class A: f = D(10) g = D('10') a = A() reveal_type(a.f) # N: Revealed type is "builtins.int" reveal_type(a.g) # N: Revealed type is "builtins.str" [case testSettingGenericDataDescriptor] from typing import TypeVar, Type, Generic, Any V = TypeVar('V') class D(Generic[V]): def __init__(self, v: V) -> None: self.v = v def __get__(self, inst: Any, own: Type) -> V: return self.v def __set__(self, inst: Any, v: V) -> None: pass class A: f = D(10) g = D('10') a = A() a.f = 1 a.f = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") a.g = '' a.g = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAccessingGenericDescriptorFromClass] from d import D class A: f = D(10) # type: D[A, int] g = D('10') # type: D[A, str] reveal_type(A.f) # N: Revealed type is "d.D[__main__.A, builtins.int]" reveal_type(A.g) # N: Revealed type is "d.D[__main__.A, builtins.str]" reveal_type(A().f) # N: Revealed type is "builtins.int" reveal_type(A().g) # N: Revealed type is "builtins.str" [file d.pyi] from typing import TypeVar, Type, Generic, overload T = TypeVar('T') V = TypeVar('V') class D(Generic[T, V]): def __init__(self, v: V) -> None: pass @overload def __get__(self, inst: None, own: Type[T]) -> 'D[T, V]': pass @overload def __get__(self, inst: T, own: Type[T]) -> V: pass [builtins fixtures/bool.pyi] [case testAccessingGenericDescriptorFromInferredClass] from typing import Type from d import D class A: f = D(10) # type: D[A, int] g = D('10') # type: D[A, str] def f(some_class: Type[A]): reveal_type(some_class.f) reveal_type(some_class.g) [file d.pyi] from typing import TypeVar, Type, Generic, overload T = TypeVar('T') V = TypeVar('V') class D(Generic[T, V]): def __init__(self, v: V) -> None: pass @overload def __get__(self, inst: None, own: Type[T]) -> 'D[T, V]': pass @overload def __get__(self, inst: T, own: Type[T]) -> V: pass [builtins fixtures/bool.pyi] [out] main:7: note: Revealed type is "d.D[__main__.A, builtins.int]" main:8: note: Revealed type is "d.D[__main__.A, builtins.str]" [case testAccessingGenericDescriptorFromClassBadOverload] from d import D class A: f = D(10) # type: D[A, int] reveal_type(A.f) [file d.pyi] from typing import TypeVar, Type, Generic, overload T = TypeVar('T') V = TypeVar('V') class D(Generic[T, V]): def __init__(self, v: V) -> None: pass @overload def __get__(self, inst: None, own: None) -> 'D[T, V]': pass @overload def __get__(self, inst: T, own: Type[T]) -> V: pass [builtins fixtures/bool.pyi] [out] main:4: error: No overload variant of "__get__" of "D" matches argument types "None", "type[A]" main:4: note: Possible overload variants: main:4: note: def __get__(self, inst: None, own: None) -> D[A, int] main:4: note: def __get__(self, inst: A, own: type[A]) -> int main:4: note: Revealed type is "Any" [case testAccessingNonDataDescriptorSubclass] from typing import Any class C: def __get__(self, inst: Any, own: Any) -> str: return 's' class D(C): pass class A: f = D() a = A() reveal_type(a.f) # N: Revealed type is "builtins.str" [case testSettingDataDescriptorSubclass] from typing import Any class C: def __get__(self, inst: Any, own: Any) -> str: return 's' def __set__(self, inst: Any, v: str) -> None: pass class D(C): pass class A: f = D() a = A() a.f = '' a.f = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testReadingDescriptorSubclassWithoutDunderGet] from typing import Union, Any class C: def __set__(self, inst: Any, v: str) -> None: pass class D(C): pass class A: f = D() def __init__(self): self.f = 's' a = A() reveal_type(a.f) # N: Revealed type is "__main__.D" [case testAccessingGenericNonDataDescriptorSubclass] from typing import TypeVar, Type, Generic, Any V = TypeVar('V') class C(Generic[V]): def __init__(self, v: V) -> None: self.v = v def __get__(self, inst: Any, own: Type) -> V: return self.v class D(C[V], Generic[V]): pass class A: f = D(10) g = D('10') a = A() reveal_type(a.f) # N: Revealed type is "builtins.int" reveal_type(a.g) # N: Revealed type is "builtins.str" [case testSettingGenericDataDescriptorSubclass] from typing import TypeVar, Type, Generic T = TypeVar('T') V = TypeVar('V') class C(Generic[T, V]): def __init__(self, v: V) -> None: self.v = v def __get__(self, inst: T, own: Type[T]) -> V: return self.v def __set__(self, inst: T, v: V) -> None: pass class D(C[T, V], Generic[T, V]): pass class A: f = D(10) # type: D[A, int] g = D('10') # type: D[A, str] a = A() a.f = 1 a.f = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") a.g = '' a.g = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testSetDescriptorOnClass] from typing import TypeVar, Type, Generic T = TypeVar('T') V = TypeVar('V') class D(Generic[T, V]): def __init__(self, v: V) -> None: self.v = v def __get__(self, inst: T, own: Type[T]) -> V: return self.v def __set__(self, inst: T, v: V) -> None: pass class A: f = D(10) # type: D[A, int] A.f = D(20) A.f = D('some string') # E: Argument 1 to "D" has incompatible type "str"; expected "int" [case testSetDescriptorOnInferredClass] from typing import TypeVar, Type, Generic, Any V = TypeVar('V') class D(Generic[V]): def __init__(self, v: V) -> None: self.v = v def __get__(self, inst: Any, own: Type) -> V: return self.v def __set__(self, inst: Any, v: V) -> None: pass class A: f = D(10) def f(some_class: Type[A]): A.f = D(20) A.f = D('some string') [out] main:11: error: Argument 1 to "D" has incompatible type "str"; expected "int" [case testDescriptorUncallableDunderSet] class D: __set__ = 's' class A: f = D() A().f = 'x' # E: __main__.D.__set__ is not callable [case testDescriptorDunderSetTooFewArgs] class D: def __set__(self, inst): pass class A: f = D() A().f = 'x' # E: Too many arguments for "__set__" [case testDescriptorDunderSetTooManyArgs] class D: def __set__(self, inst, v, other): pass class A: f = D() A().f = 'x' # E: Too few arguments for "__set__" [case testDescriptorDunderSetWrongArgTypes] class D: def __set__(self, inst: str, v:str) -> None: pass class A: f = D() A().f = 'x' # E: Argument 1 to "__set__" of "D" has incompatible type "A"; expected "str" [case testDescriptorUncallableDunderGet] class D: __get__ = 's' class A: f = D() A().f # E: __main__.D.__get__ is not callable [case testDescriptorDunderGetTooFewArgs] class D: def __get__(self, inst): pass class A: f = D() A().f # E: Too many arguments for "__get__" [case testDescriptorDunderGetTooManyArgs] class D: def __get__(self, inst, own, other): pass class A: f = D() A().f = 'x' # E: Too few arguments for "__get__" [case testDescriptorDunderGetWrongArgTypeForInstance] from typing import Any class D: def __get__(self, inst: str, own: Any) -> Any: pass class A: f = D() A().f # E: Argument 1 to "__get__" of "D" has incompatible type "A"; expected "str" [case testDescriptorDunderGetWrongArgTypeForOwner] from typing import Any class D: def __get__(self, inst: Any, own: str) -> Any: pass class A: f = D() A().f # E: Argument 2 to "__get__" of "D" has incompatible type "type[A]"; expected "str" [case testDescriptorGetSetDifferentTypes] from typing import Any class D: def __get__(self, inst: Any, own: Any) -> str: return 's' def __set__(self, inst: Any, v: int) -> None: pass class A: f = D() a = A() a.f = 1 reveal_type(a.f) # N: Revealed type is "builtins.str" [case testDescriptorGetUnion] from typing import Any, Union class String: def __get__(self, inst: Any, owner: Any) -> str: return '' class A: attr: str class B: attr = String() def foo(x: Union[A, B]) -> None: reveal_type(x.attr) # N: Revealed type is "builtins.str" [case testDescriptorGetUnionRestricted] from typing import Any, Union class getter: def __get__(self, instance: X1, owner: Any) -> str: ... class X1: prop = getter() class X2: prop: str def foo(x: Union[X1, X2]) -> None: reveal_type(x.prop) # N: Revealed type is "builtins.str" [case testDescriptorGetUnionType] from typing import Any, Union, Type, overload class getter: @overload def __get__(self, instance: None, owner: Any) -> getter: ... @overload def __get__(self, instance: object, owner: Any) -> str: ... def __get__(self, instance, owner): ... class X1: prop = getter() class X2: prop = getter() def foo(x: Type[Union[X1, X2]]) -> None: reveal_type(x.prop) # N: Revealed type is "__main__.getter" -- _promote decorators -- ------------------- [case testSimpleDucktypeDecorator] from typing import _promote class A: pass @_promote(A) class B: pass a: A b: B if int(): b = a # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = b [typing fixtures/typing-medium.pyi] [case testDucktypeTransitivityDecorator] from typing import _promote class A: pass @_promote(A) class B: pass @_promote(B) class C: pass a: A c: C if int(): c = a # E: Incompatible types in assignment (expression has type "A", variable has type "C") a = c [typing fixtures/typing-medium.pyi] -- Hard coded type promotions -- -------------------------- [case testHardCodedTypePromotions] import typing def f(x: float) -> None: pass def g(x: complex) -> None: pass f(1) g(1) g(1.1) [builtins fixtures/complex.pyi] -- Operator methods -- ---------------- [case testOperatorMethodOverrideIntroducingOverloading] from foo import * [file foo.pyi] from typing import overload class A: def __add__(self, x: int) -> int: pass class B(A): @overload # Fail def __add__(self, x: int) -> int: pass @overload def __add__(self, x: str) -> str: pass [out] tmp/foo.pyi:5: error: Signature of "__add__" incompatible with supertype "A" tmp/foo.pyi:5: note: Superclass: tmp/foo.pyi:5: note: def __add__(self, int, /) -> int tmp/foo.pyi:5: note: Subclass: tmp/foo.pyi:5: note: @overload tmp/foo.pyi:5: note: def __add__(self, int, /) -> int tmp/foo.pyi:5: note: @overload tmp/foo.pyi:5: note: def __add__(self, str, /) -> str tmp/foo.pyi:5: note: Overloaded operator methods can't have wider argument types in overrides [case testOperatorMethodOverrideWideningArgumentType] import typing class A: def __add__(self, x: int) -> int: pass class B(A): def __add__(self, x: object) -> int: pass [out] [case testOperatorMethodOverrideNarrowingReturnType] import typing class A: def __add__(self, x: int) -> 'A': pass class B(A): def __add__(self, x: int) -> 'B': pass [case testOperatorMethodOverrideWithDynamicallyTyped] import typing class A: def __add__(self, x: int) -> 'A': pass class B(A): def __add__(self, x): pass [case testOperatorMethodAgainstSameType] class A: def __add__(self, x: int) -> 'A': if isinstance(x, int): return A() else: return NotImplemented def __radd__(self, x: 'A') -> 'A': if isinstance(x, A): return A() else: return NotImplemented class B(A): pass # Note: This is a runtime error. If we run x.__add__(y) # where x and y are *not* the same type, Python will not try # calling __radd__. A() + A() # E: Unsupported operand types for + ("A" and "A") # Here, Python *will* call __radd__(...) reveal_type(B() + A()) # N: Revealed type is "__main__.A" reveal_type(A() + B()) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testBinaryOperatorMethodPositionalArgumentsOnly] class A: def __add__(self, other: int) -> int: pass def __iadd__(self, other: int) -> int: pass def __radd__(self, other: int) -> int: pass reveal_type(A.__add__) # N: Revealed type is "def (__main__.A, builtins.int) -> builtins.int" reveal_type(A.__iadd__) # N: Revealed type is "def (__main__.A, builtins.int) -> builtins.int" reveal_type(A.__radd__) # N: Revealed type is "def (__main__.A, builtins.int) -> builtins.int" [case testOperatorMethodOverrideWithIdenticalOverloadedType] from foo import * [file foo.pyi] from typing import overload class A: @overload def __add__(self, x: int) -> 'A': pass @overload def __add__(self, x: str) -> 'A': pass class B(A): @overload def __add__(self, x: int) -> 'A': pass @overload def __add__(self, x: str) -> 'A': pass [case testOverloadedOperatorMethodOverrideWithDynamicallyTypedMethod] from foo import * [file foo.pyi] from typing import overload, Any class A: @overload def __add__(self, x: int) -> 'A': pass @overload def __add__(self, x: str) -> 'A': pass class B(A): def __add__(self, x): pass class C(A): def __add__(self, x: Any) -> A: pass [case testOverloadedOperatorMethodOverrideWithNewItem] from foo import * [file foo.pyi] from typing import overload, Any class A: @overload def __add__(self, x: int) -> 'A': pass @overload def __add__(self, x: str) -> 'A': pass class B(A): @overload # Fail def __add__(self, x: int) -> A: pass @overload def __add__(self, x: str) -> A: pass @overload def __add__(self, x: type) -> A: pass [out] tmp/foo.pyi:8: error: Signature of "__add__" incompatible with supertype "A" tmp/foo.pyi:8: note: Superclass: tmp/foo.pyi:8: note: @overload tmp/foo.pyi:8: note: def __add__(self, int, /) -> A tmp/foo.pyi:8: note: @overload tmp/foo.pyi:8: note: def __add__(self, str, /) -> A tmp/foo.pyi:8: note: Subclass: tmp/foo.pyi:8: note: @overload tmp/foo.pyi:8: note: def __add__(self, int, /) -> A tmp/foo.pyi:8: note: @overload tmp/foo.pyi:8: note: def __add__(self, str, /) -> A tmp/foo.pyi:8: note: @overload tmp/foo.pyi:8: note: def __add__(self, type, /) -> A tmp/foo.pyi:8: note: Overloaded operator methods can't have wider argument types in overrides [case testOverloadedOperatorMethodOverrideWithSwitchedItemOrder] from foo import * [file foo.pyi] from typing import overload, Any class A: @overload def __add__(self, x: 'B') -> 'B': pass @overload def __add__(self, x: 'A') -> 'A': pass class B(A): @overload def __add__(self, x: 'A') -> 'A': pass @overload def __add__(self, x: 'B') -> 'B': pass class C(A): @overload def __add__(self, x: 'B') -> 'B': pass @overload def __add__(self, x: 'A') -> 'A': pass [out] tmp/foo.pyi:8: error: Signature of "__add__" incompatible with supertype "A" tmp/foo.pyi:8: note: Overload variants must be defined in the same order as they are in "A" tmp/foo.pyi:11: error: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader [case testReverseOperatorMethodArgumentType] from typing import Any class A: pass class B: def __radd__(self, x: A) -> int: pass # Error class C: def __radd__(self, x: A) -> Any: pass class D: def __radd__(self, x: A) -> object: pass [out] [case testReverseOperatorMethodArgumentType2] from typing import Any, Tuple, Callable class A: def __radd__(self, x: Tuple[int, str]) -> int: pass class B: def __radd__(self, x: Callable[[], int]) -> int: pass class C: def __radd__(self, x: Any) -> int: pass [builtins fixtures/tuple.pyi] [out] [case testReverseOperatorMethodInvalid] from foo import * [file foo.pyi] class A: ... class B: def __rmul__(self) -> A: ... class C: def __radd__(self, other, oops) -> int: ... [out] tmp/foo.pyi:3: error: Invalid signature "Callable[[B], A]" tmp/foo.pyi:5: error: Invalid signature "Callable[[C, Any, Any], int]" [case testReverseOperatorOrderingCase1] class A: def __radd__(self, other: 'A') -> int: ... # Note: Python only tries calling __add__ and never __radd__, even though it's present A() + A() # E: Unsupported left operand type for + ("A") [case testReverseOperatorOrderingCase2] class A: def __lt__(self, other: object) -> bool: ... # Not all operators have the above shortcut though. reveal_type(A() > A()) # N: Revealed type is "builtins.bool" reveal_type(A() < A()) # N: Revealed type is "builtins.bool" [builtins fixtures/bool.pyi] [case testReverseOperatorOrderingCase3] class A: def __add__(self, other: B) -> int: ... class B: def __radd__(self, other: A) -> str: ... # E: Signatures of "__radd__" of "B" and "__add__" of "A" are unsafely overlapping # Normally, we try calling __add__ before __radd__ reveal_type(A() + B()) # N: Revealed type is "builtins.int" [case testReverseOperatorOrderingCase4] class A: def __add__(self, other: B) -> int: ... class B(A): def __radd__(self, other: A) -> str: ... # E: Signatures of "__radd__" of "B" and "__add__" of "A" are unsafely overlapping # However, if B is a subtype of A, we try calling __radd__ first. reveal_type(A() + B()) # N: Revealed type is "builtins.str" [case testReverseOperatorOrderingCase5] # Note: these two methods are not unsafely overlapping because __radd__ is # never called -- see case 1. class A: def __add__(self, other: B) -> int: ... def __radd__(self, other: A) -> str: ... class B(A): pass # ...but only if B specifically defines a new __radd__. reveal_type(A() + B()) # N: Revealed type is "builtins.int" [case testReverseOperatorOrderingCase6] class A: def __add__(self, other: B) -> int: ... def __radd__(self, other: A) -> str: ... class B(A): # Although A.__radd__ can never be called, B.__radd__ *can* be -- so the # unsafe overlap check kicks in here. def __radd__(self, other: A) -> str: ... # E: Signatures of "__radd__" of "B" and "__add__" of "A" are unsafely overlapping reveal_type(A() + B()) # N: Revealed type is "builtins.str" [case testReverseOperatorOrderingCase7] class A: def __add__(self, other: B) -> int: ... def __radd__(self, other: A) -> str: ... class B(A): def __radd__(self, other: A) -> str: ... # E: Signatures of "__radd__" of "B" and "__add__" of "A" are unsafely overlapping class C(B): pass # A refinement made by a parent also counts reveal_type(A() + C()) # N: Revealed type is "builtins.str" [case testReverseOperatorWithOverloads1] from typing import overload class A: def __add__(self, other: C) -> int: ... class B: def __add__(self, other: C) -> int: ... class C: @overload def __radd__(self, other: A) -> str: ... # E: Signatures of "__radd__" of "C" and "__add__" of "A" are unsafely overlapping @overload def __radd__(self, other: B) -> str: ... # E: Signatures of "__radd__" of "C" and "__add__" of "B" are unsafely overlapping def __radd__(self, other): pass reveal_type(A() + C()) # N: Revealed type is "builtins.int" reveal_type(B() + C()) # N: Revealed type is "builtins.int" [case testReverseOperatorWithOverloads2] from typing import overload, Union class Num1: def __add__(self, other: Num1) -> Num1: ... def __radd__(self, other: Num1) -> Num1: ... class Num2(Num1): @overload def __add__(self, other: Num2) -> Num2: ... @overload def __add__(self, other: Num1) -> Num2: ... def __add__(self, other): pass @overload def __radd__(self, other: Num2) -> Num2: ... @overload def __radd__(self, other: Num1) -> Num2: ... def __radd__(self, other): pass class Num3(Num1): def __add__(self, other: Union[Num1, Num3]) -> Num3: ... def __radd__(self, other: Union[Num1, Num3]) -> Num3: ... reveal_type(Num1() + Num2()) # N: Revealed type is "__main__.Num2" reveal_type(Num2() + Num1()) # N: Revealed type is "__main__.Num2" reveal_type(Num1() + Num3()) # N: Revealed type is "__main__.Num3" reveal_type(Num3() + Num1()) # N: Revealed type is "__main__.Num3" reveal_type(Num2() + Num3()) # N: Revealed type is "__main__.Num2" reveal_type(Num3() + Num2()) # N: Revealed type is "__main__.Num3" [case testReverseOperatorWithOverloads3] from typing import Union, overload class A: def __mul__(self, value: A, /) -> A: ... def __rmul__(self, value: A, /) -> A: ... class B: @overload def __mul__(self, other: B, /) -> B: ... @overload def __mul__(self, other: A, /) -> str: ... def __mul__(self, other: Union[B, A], /) -> Union[B, str]: pass @overload def __rmul__(self, other: B, /) -> B: ... @overload def __rmul__(self, other: A, /) -> str: ... def __rmul__(self, other: Union[B, A], /) -> Union[B, str]: pass [case testReverseOperatorWithOverloadsNested] from typing import Union, overload class A: def __mul__(self, value: A, /) -> A: ... def __rmul__(self, value: A, /) -> A: ... class B: @overload def __mul__(self, other: B, /) -> B: ... @overload def __mul__(self, other: A, /) -> str: ... def __mul__(self, other: Union[B, A], /) -> Union[B, str]: pass @overload def __rmul__(self, other: B, /) -> B: ... @overload def __rmul__(self, other: A, /) -> str: ... def __rmul__(self, other: Union[B, A], /) -> Union[B, str]: class A1: def __add__(self, other: C1) -> int: ... class B1: def __add__(self, other: C1) -> int: ... class C1: @overload def __radd__(self, other: A1) -> str: ... # E: Signatures of "__radd__" of "C1" and "__add__" of "A1" are unsafely overlapping @overload def __radd__(self, other: B1) -> str: ... # E: Signatures of "__radd__" of "C1" and "__add__" of "B1" are unsafely overlapping def __radd__(self, other): pass return "" [case testDivReverseOperator] # No error: __div__ has no special meaning in Python 3 class A1: def __div__(self, x: B1) -> int: ... class B1: def __rdiv__(self, x: A1) -> str: ... class A2: def __truediv__(self, x: B2) -> int: ... class B2: def __rtruediv__(self, x: A2) -> str: ... # E: Signatures of "__rtruediv__" of "B2" and "__truediv__" of "A2" are unsafely overlapping A1() / B1() # E: Unsupported left operand type for / ("A1") reveal_type(A2() / B2()) # N: Revealed type is "builtins.int" [case testReverseOperatorMethodForwardIsAny] from typing import Any def deco(f: Any) -> Any: return f class C: @deco def __add__(self, other: C) -> C: return C() def __radd__(self, other: C) -> C: return C() [out] [case testReverseOperatorMethodForwardIsAny2] from typing import Any def deco(f: Any) -> Any: return f class C: __add__ = None # type: Any def __radd__(self, other: C) -> C: return C() [out] [case testReverseOperatorMethodForwardIsAny3] from typing import Any def deco(f: Any) -> Any: return f class C: __add__ = 42 def __radd__(self, other: C) -> C: return C() [out] main:5: error: Forward operator "__add__" is not callable [case testOverloadedReverseOperatorMethodArgumentType] from foo import * [file foo.pyi] from typing import overload, Any class A: @overload def __radd__(self, x: 'A') -> str: pass @overload def __radd__(self, x: 'A') -> Any: pass # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader [out] [case testReverseOperatorMethodArgumentTypeAndOverloadedMethod] from foo import * [file foo.pyi] from typing import overload class A: @overload def __add__(self, x: int) -> int: pass @overload def __add__(self, x: str) -> int: pass def __radd__(self, x: 'A') -> str: pass [case testReverseOperatorStar] class B: def __radd__(*self) -> int: pass def __rsub__(*self: 'B') -> int: pass [builtins fixtures/tuple.pyi] [case testReverseOperatorTypeVar1] from typing import TypeVar T = TypeVar("T", bound='Real') class Real: def __add__(self, other: object) -> str: ... class Fraction(Real): def __radd__(self, other: T) -> T: ... # E: Signatures of "__radd__" of "Fraction" and "__add__" of "T" are unsafely overlapping # Note: When doing A + B and if B is a subtype of A, we will always call B.__radd__(A) first # and only try A.__add__(B) second if necessary. reveal_type(Real() + Fraction()) # N: Revealed type is "__main__.Real" # Note: When doing A + A, we only ever call A.__add__(A), never A.__radd__(A). reveal_type(Fraction() + Fraction()) # N: Revealed type is "builtins.str" [case testReverseOperatorTypeVar2a] from typing import TypeVar T = TypeVar("T", bound='Real') class Real: def __add__(self, other: Fraction) -> str: ... class Fraction(Real): def __radd__(self, other: T) -> T: ... # E: Signatures of "__radd__" of "Fraction" and "__add__" of "T" are unsafely overlapping reveal_type(Real() + Fraction()) # N: Revealed type is "__main__.Real" reveal_type(Fraction() + Fraction()) # N: Revealed type is "builtins.str" [case testReverseOperatorTypeVar2b] from typing import TypeVar T = TypeVar("T", "Real", "Fraction") class Real: def __add__(self, other: Fraction) -> str: ... class Fraction(Real): def __radd__(self, other: T) -> T: ... # E: Signatures of "__radd__" of "Fraction" and "__add__" of "Real" are unsafely overlapping reveal_type(Real() + Fraction()) # N: Revealed type is "__main__.Real" reveal_type(Fraction() + Fraction()) # N: Revealed type is "builtins.str" [case testReverseOperatorTypeVar3] from typing import TypeVar T = TypeVar("T", bound='Real') class Real: def __add__(self, other: FractionChild) -> str: ... class Fraction(Real): def __radd__(self, other: T) -> T: ... # E: Signatures of "__radd__" of "Fraction" and "__add__" of "T" are unsafely overlapping class FractionChild(Fraction): pass reveal_type(Real() + Fraction()) # N: Revealed type is "__main__.Real" reveal_type(FractionChild() + Fraction()) # N: Revealed type is "__main__.FractionChild" reveal_type(FractionChild() + FractionChild()) # N: Revealed type is "builtins.str" # Runtime error: we try calling __add__, it doesn't match, and we don't try __radd__ since # the LHS and the RHS are not the same. Fraction() + Fraction() # E: Unsupported operand types for + ("Fraction" and "Fraction") [case testReverseOperatorTypeType] from typing import TypeVar, Type class Real(type): def __add__(self, other: FractionChild) -> str: ... class Fraction(Real): def __radd__(self, other: Type['A']) -> Real: ... # E: Signatures of "__radd__" of "Fraction" and "__add__" of "type[A]" are unsafely overlapping class FractionChild(Fraction): pass class A(metaclass=Real): pass [case testOperatorDoubleUnionIntFloat] from typing import Union a: Union[int, float] b: int c: float reveal_type(a + a) # N: Revealed type is "Union[builtins.int, builtins.float]" reveal_type(a + b) # N: Revealed type is "Union[builtins.int, builtins.float]" reveal_type(b + a) # N: Revealed type is "Union[builtins.int, builtins.float]" reveal_type(a + c) # N: Revealed type is "builtins.float" reveal_type(c + a) # N: Revealed type is "builtins.float" [builtins fixtures/ops.pyi] [case testOperatorDoubleUnionStandardSubtyping] from typing import Union class Parent: def __add__(self, x: Parent) -> Parent: pass def __radd__(self, x: Parent) -> Parent: pass class Child(Parent): def __add__(self, x: Parent) -> Child: pass def __radd__(self, x: Parent) -> Child: pass a: Union[Parent, Child] b: Parent c: Child reveal_type(a + a) # N: Revealed type is "__main__.Parent" reveal_type(a + b) # N: Revealed type is "__main__.Parent" reveal_type(b + a) # N: Revealed type is "__main__.Parent" reveal_type(a + c) # N: Revealed type is "__main__.Child" reveal_type(c + a) # N: Revealed type is "__main__.Child" [case testOperatorDoubleUnionNoRelationship1] from typing import Union class Foo: def __add__(self, x: Foo) -> Foo: pass def __radd__(self, x: Foo) -> Foo: pass class Bar: def __add__(self, x: Bar) -> Bar: pass def __radd__(self, x: Bar) -> Bar: pass a: Union[Foo, Bar] b: Foo c: Bar a + a # E: Unsupported operand types for + ("Foo" and "Bar") \ # E: Unsupported operand types for + ("Bar" and "Foo") \ # N: Both left and right operands are unions a + b # E: Unsupported operand types for + ("Bar" and "Foo") \ # N: Left operand is of type "Union[Foo, Bar]" b + a # E: Unsupported operand types for + ("Foo" and "Bar") \ # N: Right operand is of type "Union[Foo, Bar]" a + c # E: Unsupported operand types for + ("Foo" and "Bar") \ # N: Left operand is of type "Union[Foo, Bar]" c + a # E: Unsupported operand types for + ("Bar" and "Foo") \ # N: Right operand is of type "Union[Foo, Bar]" [case testOperatorDoubleUnionNoRelationship2] from typing import Union class Foo: def __add__(self, x: Foo) -> Foo: pass def __radd__(self, x: Foo) -> Foo: pass class Bar: def __add__(self, x: Union[Foo, Bar]) -> Bar: pass def __radd__(self, x: Union[Foo, Bar]) -> Bar: pass a: Union[Foo, Bar] b: Foo c: Bar reveal_type(a + a) # N: Revealed type is "Union[__main__.Foo, __main__.Bar]" reveal_type(a + b) # N: Revealed type is "Union[__main__.Foo, __main__.Bar]" reveal_type(b + a) # N: Revealed type is "Union[__main__.Foo, __main__.Bar]" reveal_type(a + c) # N: Revealed type is "__main__.Bar" reveal_type(c + a) # N: Revealed type is "__main__.Bar" [case testOperatorDoubleUnionNaiveAdd] from typing import Union class A: pass class B: pass class C: def __radd__(self, x: A) -> int: pass class D: def __radd__(self, x: B) -> str: pass x: Union[A, B] y: Union[C, D] x + y # E: Unsupported operand types for + ("A" and "D") \ # E: Unsupported operand types for + ("B" and "C") \ # N: Both left and right operands are unions [case testOperatorDoubleUnionInterwovenUnionAdd] from typing import Union class Out1: pass class Out2: pass class Out3: pass class Out4: pass class A: def __add__(self, x: D) -> Out1: pass class B: def __add__(self, x: C) -> Out2: pass class C: def __radd__(self, x: A) -> Out3: pass class D: def __radd__(self, x: B) -> Out4: pass x: Union[A, B] y: Union[C, D] reveal_type(x + y) # N: Revealed type is "Union[__main__.Out3, __main__.Out1, __main__.Out2, __main__.Out4]" reveal_type(A() + y) # N: Revealed type is "Union[__main__.Out3, __main__.Out1]" reveal_type(B() + y) # N: Revealed type is "Union[__main__.Out2, __main__.Out4]" reveal_type(x + C()) # N: Revealed type is "Union[__main__.Out3, __main__.Out2]" reveal_type(x + D()) # N: Revealed type is "Union[__main__.Out1, __main__.Out4]" [case testOperatorDoubleUnionDivision] from typing import Union def f(a): # type: (Union[int, float]) -> None a /= 1.1 b = a / 1.1 reveal_type(b) # N: Revealed type is "builtins.float" [builtins fixtures/ops.pyi] [case testOperatorWithInference] from typing import TypeVar, Iterable, Union T = TypeVar('T') def sum(x: Iterable[T]) -> Union[T, int]: ... def len(x: Iterable[T]) -> int: ... x = [1.1, 2.2, 3.3] reveal_type(sum(x)) # N: Revealed type is "Union[builtins.float, builtins.int]" reveal_type(sum(x) / len(x)) # N: Revealed type is "Union[builtins.float, builtins.int]" [builtins fixtures/floatdict.pyi] [case testOperatorWithEmptyListAndSum] from typing import TypeVar, Iterable, Union, overload T = TypeVar('T') S = TypeVar('S') @overload def sum(x: Iterable[T]) -> Union[T, int]: ... @overload def sum(x: Iterable[T], default: S) -> Union[T, S]: ... def sum(*args): pass x = ["a", "b", "c"] reveal_type(x + sum([x, x, x], [])) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/floatdict.pyi] [case testAbstractReverseOperatorMethod] import typing from abc import abstractmethod class A: @abstractmethod def __lt__(self, x: 'A') -> int: pass class B: @abstractmethod def __lt__(self, x: 'B') -> int: pass @abstractmethod def __gt__(self, x: 'B') -> int: pass [out] [case testOperatorMethodsAndOverloadingSpecialCase] from foo import * [file foo.pyi] from typing import overload class A: @overload def __add__(self, x: 'A') -> int: pass @overload def __add__(self, x: str) -> int: pass class B: def __radd__(self, x: 'A') -> str: pass [out] [case testUnsafeOverlappingWithOperatorMethodsAndOverloading2] from foo import A, B from foo import * [file foo.pyi] from typing import overload class A: def __add__(self, x: 'A') -> int: pass class B: @overload def __radd__(self, x: 'X') -> str: pass # Error @overload def __radd__(self, x: A) -> str: pass # Error class X: def __add__(self, x: B) -> int: pass [out] tmp/foo.pyi:6: error: Signatures of "__radd__" of "B" and "__add__" of "X" are unsafely overlapping [case testUnsafeOverlappingNotWithAny] from typing import TypeVar class Real: def __add__(self, other) -> str: ... class Fraction(Real): def __radd__(self, other: Real) -> Real: ... [case testOverlappingNormalAndInplaceOperatorMethod] import typing class A: # Incompatible (potential trouble with __radd__) def __add__(self, x: 'A') -> int: pass def __iadd__(self, x: 'B') -> int: pass class B: # Safe def __add__(self, x: 'C') -> int: pass def __iadd__(self, x: A) -> int: pass class C(A): pass [out] main:5: error: Signatures of "__iadd__" and "__add__" are incompatible [case testOverloadedNormalAndInplaceOperatorMethod] from foo import * [file foo.pyi] from typing import overload class A: @overload def __add__(self, x: int) -> int: pass @overload def __add__(self, x: str) -> int: pass @overload # Error def __iadd__(self, x: int) -> int: pass @overload def __iadd__(self, x: object) -> int: pass class B: @overload def __add__(self, x: int) -> int: pass @overload def __add__(self, x: str) -> str: pass @overload def __iadd__(self, x: int) -> int: pass @overload def __iadd__(self, x: str) -> str: pass [out] tmp/foo.pyi:7: error: Signatures of "__iadd__" and "__add__" are incompatible [case testIntroducingInplaceOperatorInSubclass] import typing class A: def __add__(self, x: 'A') -> 'B': pass class B(A): # __iadd__ effectively partially overrides __add__ def __iadd__(self, x: 'A') -> 'A': pass # Error class C(A): def __iadd__(self, x: int) -> 'B': pass # Error class D(A): def __iadd__(self, x: 'A') -> 'B': pass [out] main:6: error: Return type "A" of "__iadd__" incompatible with return type "B" in "__add__" of supertype "A" main:8: error: Signatures of "__iadd__" and "__add__" are incompatible main:8: error: Argument 1 of "__iadd__" is incompatible with "__add__" of supertype "A"; supertype defines the argument type as "A" main:8: note: This violates the Liskov substitution principle main:8: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [case testGetattribute] a: A b: B class A: def __getattribute__(self, x: str) -> A: return A() class B: pass a = a.foo b = a.bar [builtins fixtures/tuple.pyi] [out] main:9: error: Incompatible types in assignment (expression has type "A", variable has type "B") [case testDecoratedGetAttribute] from typing import Callable, TypeVar T = TypeVar('T', bound=Callable) def decorator(f: T) -> T: return f def bad(f: Callable) -> Callable[..., int]: return f class A: @decorator def __getattribute__(self, x: str) -> A: return A() class B: @bad # We test that type will be taken from decorated type, not node itself def __getattribute__(self, x: str) -> A: return A() a: A b: B a1: A = a.foo b1: B = a.bar # E: Incompatible types in assignment (expression has type "A", variable has type "B") a2: A = b.baz # E: Incompatible types in assignment (expression has type "int", variable has type "A") b2: B = b.roo # E: Incompatible types in assignment (expression has type "int", variable has type "B") [builtins fixtures/tuple.pyi] [case testGetattributeSignature] class A: def __getattribute__(self, x: str) -> A: pass class B: def __getattribute__(self, x: A) -> B: pass class C: def __getattribute__(self, x: str, y: str) -> C: pass class D: def __getattribute__(self, x: str) -> None: pass [out] main:4: error: Invalid signature "Callable[[B, A], B]" for "__getattribute__" main:6: error: Invalid signature "Callable[[C, str, str], C]" for "__getattribute__" [case testGetattr] a: A b: B class A: def __getattr__(self, x: str) -> A: return A() class B: pass a = a.foo b = a.bar [builtins fixtures/tuple.pyi] [out] main:9: error: Incompatible types in assignment (expression has type "A", variable has type "B") [case testDecoratedGetattr] from typing import Callable, TypeVar T = TypeVar('T', bound=Callable) def decorator(f: T) -> T: return f def bad(f: Callable) -> Callable[..., int]: return f class A: @decorator def __getattr__(self, x: str) -> A: return A() class B: @bad # We test that type will be taken from decorated type, not node itself def __getattr__(self, x: str) -> A: return A() a: A b: B a1: A = a.foo b1: B = a.bar # E: Incompatible types in assignment (expression has type "A", variable has type "B") a2: A = b.baz # E: Incompatible types in assignment (expression has type "int", variable has type "A") b2: B = b.roo # E: Incompatible types in assignment (expression has type "int", variable has type "B") [builtins fixtures/tuple.pyi] [case testGetattrWithGetitem] class A: def __getattr__(self, x: str) -> 'A': return A() a = A() a[0] # E: Value of type "A" is not indexable [case testGetattrWithCall] class A: def __getattr__(self, x: str) -> 'A': return A() a = A() a.y() # E: "A" not callable [case testGetattrWithCallable] from typing import Callable, Any class C: def __getattr__(self, attr: str) -> C: ... def do(cd: Callable[..., Any]) -> None: ... do(C()) # E: Argument 1 to "do" has incompatible type "C"; expected "Callable[..., Any]" [case testGetattrWithCallableTypeVar] from typing import Callable, Any, TypeVar class C: def __getattr__(self, attr: str) -> C: ... T = TypeVar('T', bound=Callable[..., Any]) def do(cd: T) -> T: ... do(C()) # E: Value of type variable "T" of "do" cannot be "C" [case testNestedGetattr] def foo() -> object: def __getattr__() -> None: # no error because not in a class pass return __getattr__ class X: def foo(self) -> object: def __getattr__() -> None: # no error because not directly inside a class pass return __getattr__ [case testGetattrSignature] class A: def __getattr__(self, x: str) -> A: pass class B: def __getattr__(self, x: A) -> B: pass class C: def __getattr__(self, x: str, y: str) -> C: pass class D: def __getattr__(self, x: str) -> None: pass [out] main:4: error: Invalid signature "Callable[[B, A], B]" for "__getattr__" main:6: error: Invalid signature "Callable[[C, str, str], C]" for "__getattr__" [case testSetattr] from typing import Union, Any class A: def __setattr__(self, name: str, value: Any) -> None: ... a = A() a.test = 'hello' class B: def __setattr__(self, name: str, value: Union[int, str]) -> None: ... b = B() b.both = 1 b.work = '2' class C: def __setattr__(self, name: str, value: str) -> None: ... c = C() c.fail = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "str") class D: __setattr__ = 'hello' # E: Invalid signature "str" for "__setattr__" d = D() d.crash = 4 # E: "D" has no attribute "crash" class Ex: def __setattr__(self, name: str, value: int) -> None:... test = '42' # type: str e = Ex() e.test = 'hello' e.t = 4 class Super: def __setattr__(self, name: str, value: int) -> None: ... class Sub(Super): ... s = Sub() s.success = 4 s.fail = 'fail' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testDecoratedSetattr] from typing import Any, Callable, TypeVar T = TypeVar('T', bound=Callable) def decorator(f: T) -> T: return f def bad(f: Callable) -> Callable[[Any, str, int], None]: return f class A: @decorator def __setattr__(self, k: str, v: str) -> None: pass class B: @bad # We test that type will be taken from decorated type, not node itself def __setattr__(self, k: str, v: str) -> None: pass a: A a.foo = 'a' a.bar = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") b: B b.good = 1 b.bad = 'a' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/tuple.pyi] [case testSetattrSignature] from typing import Any class Test: def __setattr__() -> None: ... \ # E: Invalid signature "Callable[[], None]" for "__setattr__" \ # E: Method must have at least one argument. Did you forget the "self" argument? t = Test() t.crash = 'test' # E: Attribute function "__setattr__" with type "Callable[[], None]" does not accept self argument \ # E: "Test" has no attribute "crash" class A: def __setattr__(self): ... # E: Invalid signature "Callable[[A], Any]" for "__setattr__" a = A() a.test = 4 # E: "A" has no attribute "test" class B: def __setattr__(self, name, value: int): ... b = B() b.integer = 5 class C: def __setattr__(self, name: int, value: int) -> None: ... # E: Invalid signature "Callable[[C, int, int], None]" for "__setattr__" c = C() c.check = 13 class X: __setattr__ = ... # type: Any [case testGetattrAndSetattr] from typing import Any class A: def __setattr__(self, name: str, value: Any) -> None: ... def __getattr__(self, name: str) -> Any: ... a = A() a.test = 4 t = a.test class B: def __setattr__(self, name: str, value: int) -> None: ... def __getattr__(self, name: str) -> str: ... integer = 0 b = B() b.at = '3' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): integer = b.at # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testSetattrKeywordArg] from typing import Any class C: def __setattr__(self, key: str, value: Any, p: bool = False) -> None: ... c: C c.__setattr__("x", 42, p=True) -- CallableType objects -- ---------------- [case testCallableObject] class A: def __call__(self, x: 'A') -> 'A': pass class B: pass a = A() b = B() a() # E: Missing positional argument "x" in call to "__call__" of "A" a(a, a) # E: Too many arguments for "__call__" of "A" if int(): a = a(a) if int(): a = a(b) # E: Argument 1 to "__call__" of "A" has incompatible type "B"; expected "A" if int(): b = a(a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") -- __new__ -- -------- [case testConstructInstanceWith__new__] from typing import Optional class C: def __new__(cls, foo: Optional[int] = None) -> 'C': obj = object.__new__(cls) return obj x = C(foo=12) x.a # E: "C" has no attribute "a" C(foo='') # E: Argument "foo" to "C" has incompatible type "str"; expected "Optional[int]" [builtins fixtures/__new__.pyi] [case testConstructInstanceWithDynamicallyTyped__new__] class C: def __new__(cls, foo): # N: "C" defined here obj = object.__new__(cls) return obj x = C(foo=12) x = C(foo='x') x.a # E: "C" has no attribute "a" C(bar='') # E: Unexpected keyword argument "bar" for "C" [builtins fixtures/__new__.pyi] [case testClassWith__new__AndCompatibilityWithType] from typing import Optional class C: def __new__(cls, foo: Optional[int] = None) -> 'C': obj = object.__new__(cls) return obj def f(x: type) -> None: pass def g(x: int) -> None: pass f(C) g(C) # E: Argument 1 to "g" has incompatible type "type[C]"; expected "int" [builtins fixtures/__new__.pyi] [case testClassWith__new__AndCompatibilityWithType2] class C: def __new__(cls, foo): obj = object.__new__(cls) return obj def f(x: type) -> None: pass def g(x: int) -> None: pass f(C) g(C) # E: Argument 1 to "g" has incompatible type "type[C]"; expected "int" [builtins fixtures/__new__.pyi] [case testGenericClassWith__new__] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def __new__(cls, foo: T) -> 'C[T]': obj = object.__new__(cls) return obj def set(self, x: T) -> None: pass c = C('') c.set('') c.set(1) # E: Argument 1 to "set" of "C" has incompatible type "int"; expected "str" [builtins fixtures/__new__.pyi] [case testOverloaded__new__] from foo import * [file foo.pyi] from typing import overload class C: @overload def __new__(cls, foo: int) -> 'C': obj = object.__new__(cls) return obj @overload def __new__(cls, x: str, y: str) -> 'C': obj = object.__new__(cls) return obj c = C(1) c.a # E: "C" has no attribute "a" C('', '') C('') # E: No overload variant of "C" matches argument type "str" \ # N: Possible overload variants: \ # N: def __new__(cls, foo: int) -> C \ # N: def __new__(cls, x: str, y: str) -> C [builtins fixtures/__new__.pyi] -- Special cases -- ------------- [case testSubclassInt] import typing class A(int): pass n = 0 if int(): n = A() a = A() if int(): a = 0 # E: Incompatible types in assignment (expression has type "int", variable has type "A") [case testForwardReferenceToNestedClass] def f(o: 'B.C') -> None: o.f('') # E: Argument 1 to "f" of "C" has incompatible type "str"; expected "int" class B: class C: def f(self, x: int) -> None: pass [out] [case testForwardReferenceToNestedClassDeep] def f(o: 'B.C.D') -> None: o.f('') # E: Argument 1 to "f" of "D" has incompatible type "str"; expected "int" class B: class C: class D: def f(self, x: int) -> None: pass [out] [case testForwardReferenceToNestedClassWithinClass] class B: def f(self, o: 'C.D') -> None: o.f('') # E: Argument 1 to "f" of "D" has incompatible type "str"; expected "int" class C: class D: def f(self, x: int) -> None: pass [out] [case testClassVsInstanceDisambiguation] class A: pass def f(x: A) -> None: pass f(A) # E: Argument 1 to "f" has incompatible type "type[A]"; expected "A" [out] -- TODO -- attribute inherited from superclass; assign in __init__ -- refer to attribute before type has been inferred (the initialization in -- __init__ has not been analyzed) [case testAnyBaseClassUnconstrainedConstructor] from typing import Any B = None # type: Any class C(B): pass C(0) C(arg=0) [out] [case testErrorMapToSupertype] import typing class X(Nope): pass # E: Name "Nope" is not defined a, b = X() # Used to crash here (#2244) -- Class-valued attributes -- ----------------------- [case testClassValuedAttributesBasics] class A: ... class B: a = A bad = lambda: 42 B().bad() # E: Attribute function "bad" with type "Callable[[], int]" does not accept self argument reveal_type(B.a) # N: Revealed type is "def () -> __main__.A" reveal_type(B().a) # N: Revealed type is "def () -> __main__.A" reveal_type(B().a()) # N: Revealed type is "__main__.A" class C: a = A def __init__(self) -> None: self.aa = self.a() reveal_type(C().aa) # N: Revealed type is "__main__.A" [out] [case testClassValuedAttributesGeneric] from typing import Generic, TypeVar, Type T = TypeVar('T') class A(Generic[T]): def __init__(self, x: T) -> None: self.x = x class B(Generic[T]): a: Type[A[T]] = A reveal_type(B[int]().a) # N: Revealed type is "type[__main__.A[builtins.int]]" B[int]().a('hi') # E: Argument 1 to "A" has incompatible type "str"; expected "int" class C(Generic[T]): a = A def __init__(self) -> None: self.aa = self.a(42) reveal_type(C().aa) # N: Revealed type is "__main__.A[builtins.int]" [out] [case testClassValuedAttributesAlias] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): ... SameA = A[T, T] class B: a_any = SameA a_int = SameA[int] reveal_type(B().a_any) # N: Revealed type is "def () -> __main__.A[Any, Any]" reveal_type(B().a_int()) # N: Revealed type is "__main__.A[builtins.int, builtins.int]" class C: a_int = SameA[int] def __init__(self) -> None: self.aa = self.a_int() reveal_type(C().aa) # N: Revealed type is "__main__.A[builtins.int, builtins.int]" [out] -- Type[C] -- ------- [case testTypeUsingTypeCBasic] from typing import Type class User: pass class ProUser(User): pass def new_user(user_class: Type[User]) -> User: return user_class() reveal_type(new_user(User)) # N: Revealed type is "__main__.User" reveal_type(new_user(ProUser)) # N: Revealed type is "__main__.User" [out] [case testTypeUsingTypeCDefaultInit] from typing import Type class B: pass def f(A: Type[B]) -> None: A(0) # E: Too many arguments for "B" A() [out] [case testTypeUsingTypeCInitWithArg] from typing import Type class B: def __init__(self, a: int) -> None: pass def f(A: Type[B]) -> None: A(0) A() # E: Missing positional argument "a" in call to "B" [out] [case testTypeUsingTypeCTypeVar] from typing import Type, TypeVar class User: pass class ProUser(User): pass U = TypeVar('U', bound=User) def new_user(user_class: Type[U]) -> U: user = user_class() reveal_type(user) return user pro_user = new_user(ProUser) reveal_type(pro_user) [out] main:7: note: Revealed type is "U`-1" main:10: note: Revealed type is "__main__.ProUser" [case testTypeUsingTypeCTypeVarDefaultInit] from typing import Type, TypeVar class B: pass T = TypeVar('T', bound=B) def f(A: Type[T]) -> None: A() A(0) # E: Too many arguments for "B" [out] [case testTypeUsingTypeCTypeVarWithInit] from typing import Type, TypeVar class B: def __init__(self, a: int) -> None: pass T = TypeVar('T', bound=B) def f(A: Type[T]) -> None: A() # E: Missing positional argument "a" in call to "B" A(0) [out] [case testTypeUsingTypeCTwoTypeVars] from typing import Type, TypeVar class User: pass class ProUser(User): pass class WizUser(ProUser): pass U = TypeVar('U', bound=User) def new_user(u_c: Type[U]) -> U: pass P = TypeVar('P', bound=ProUser) def new_pro(pro_c: Type[P]) -> P: return new_user(pro_c) wiz = new_pro(WizUser) reveal_type(wiz) def error(u_c: Type[U]) -> P: # Error here, see below return new_pro(u_c) # Error here, see below [out] main:11: note: Revealed type is "__main__.WizUser" main:12: error: A function returning TypeVar should receive at least one argument containing the same TypeVar main:12: note: Consider using the upper bound "ProUser" instead main:13: error: Value of type variable "P" of "new_pro" cannot be "U" main:13: error: Incompatible return value type (got "U", expected "P") [case testTypeUsingTypeCCovariance] from typing import Type, TypeVar class User: pass class ProUser(User): pass def new_user(user_class: Type[User]) -> User: return user_class() def new_pro_user(user_class: Type[ProUser]): new_user(user_class) [out] [case testAllowCovariantArgsInConstructor] from typing import Generic, TypeVar T_co = TypeVar('T_co', covariant=True) class C(Generic[T_co]): def __init__(self, x: T_co) -> None: # This should be allowed self.x = x def meth(self) -> None: reveal_type(self.x) # N: Revealed type is "T_co`1" reveal_type(C(1).x) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [out] [case testTypeUsingTypeCErrorCovariance] from typing import Type, TypeVar class User: pass def new_user(user_class: Type[User]): return user_class() def foo(arg: Type[int]): new_user(arg) # E: Argument 1 to "new_user" has incompatible type "type[int]"; expected "type[User]" [out] [case testTypeUsingTypeCUnionOverload] from foo import * [file foo.pyi] from typing import Type, Union, overload class X: @overload def __init__(self) -> None: pass @overload def __init__(self, a: int) -> None: pass class Y: def __init__(self) -> None: pass def bar(o: Type[Union[X, Y]]): pass bar(X) bar(Y) [out] [case testTypeUsingTypeCTypeAny] from typing import Type, Any def foo(arg: Type[Any]): x = arg() x = arg(0) x = arg('', ()) reveal_type(x) # N: Revealed type is "Any" x.foo class X: pass foo(X) [builtins fixtures/tuple.pyi] [out] [case testTypeUsingTypeCTypeAnyMember] from typing import Type, Any def foo(arg: Type[Any]): x = arg.member_name arg.new_member_name = 42 # Member access is ok and types as Any reveal_type(x) # N: Revealed type is "Any" # But type[Any] is distinct from Any y: int = arg # E: Incompatible types in assignment (expression has type "type[Any]", variable has type "int") [out] [case testTypeUsingTypeCTypeAnyMemberFallback] from typing import Type, Any def foo(arg: Type[Any]): reveal_type(arg.__str__) # N: Revealed type is "def () -> builtins.str" reveal_type(arg.mro()) # N: Revealed type is "builtins.list[builtins.type]" [builtins fixtures/type.pyi] [out] [case testTypeUsingTypeCTypeNoArg] from typing import Type def foo(arg: Type): x = arg() reveal_type(x) # N: Revealed type is "Any" class X: pass foo(X) [out] [case testTypeUsingTypeCBuiltinType] from typing import Type def foo(arg: type): pass class X: pass def bar(arg: Type[X]): foo(arg) foo(X) [builtins fixtures/tuple.pyi] [out] [case testTypeUsingTypeCClassMethod] from typing import Type class User: @classmethod def foo(cls) -> int: pass def bar(self) -> int: pass def process(cls: Type[User]): reveal_type(cls.foo()) # N: Revealed type is "builtins.int" obj = cls() reveal_type(cls.bar(obj)) # N: Revealed type is "builtins.int" cls.mro() # Defined in class type cls.error # E: "type[User]" has no attribute "error" [builtins fixtures/classmethod.pyi] [out] [case testTypeUsingTypeCClassMethodUnion] from typing import Type, Union class User: @classmethod def foo(cls) -> int: pass def bar(self) -> int: pass class ProUser(User): pass class BasicUser(User): pass def process(cls: Type[Union[BasicUser, ProUser]]): cls.foo() obj = cls() cls.bar(obj) cls.mro() # Defined in class type cls.error # E: Item "type" of "Union[type[BasicUser], type[ProUser]]" has no attribute "error" [builtins fixtures/classmethod.pyi] [out] [case testTypeUsingTypeCClassMethodFromTypeVar] from typing import Type, TypeVar class User: @classmethod def foo(cls) -> int: pass def bar(self) -> int: pass U = TypeVar('U', bound=User) def process(cls: Type[U]): reveal_type(cls.foo()) # N: Revealed type is "builtins.int" obj = cls() reveal_type(cls.bar(obj)) # N: Revealed type is "builtins.int" cls.mro() # Defined in class type cls.error # E: "type[U]" has no attribute "error" [builtins fixtures/classmethod.pyi] [out] [case testTypeUsingTypeCClassMethodFromTypeVarUnionBound] # Ideally this would work, but not worth the effort; just don't crash from typing import Type, TypeVar, Union class User: @classmethod def foo(cls) -> int: pass def bar(self) -> int: pass class ProUser(User): pass class BasicUser(User): pass U = TypeVar('U', bound=Union[ProUser, BasicUser]) def process(cls: Type[U]): cls.foo() obj = cls() cls.bar(obj) cls.mro() # Defined in class type cls.error # E: "type[U]" has no attribute "error" [builtins fixtures/classmethod.pyi] [out] [case testTypeUsingTypeCErrorUnsupportedType] from typing import Type, Tuple def foo(arg: Type[Tuple[int]]): arg() # E: Cannot instantiate type "type[tuple[int]]" [builtins fixtures/tuple.pyi] [case testTypeUsingTypeCOverloadedClass] from foo import * [file foo.pyi] from typing import Type, TypeVar, overload class User: @overload def __init__(self) -> None: pass @overload def __init__(self, arg: int) -> None: pass @classmethod def foo(cls) -> None: pass U = TypeVar('U', bound=User) def new(uc: Type[U]) -> U: uc.foo() u = uc() u.foo() if 1: u = uc(0) u.foo() uc('') # Error u.foo(0) # Error return uc() u = new(User) [builtins fixtures/classmethod.pyi] [out] tmp/foo.pyi:17: error: No overload variant of "User" matches argument type "str" tmp/foo.pyi:17: note: Possible overload variants: tmp/foo.pyi:17: note: def __init__(self) -> U tmp/foo.pyi:17: note: def __init__(self, arg: int) -> U tmp/foo.pyi:18: error: Too many arguments for "foo" of "User" [case testTypeUsingTypeCInUpperBound] from typing import TypeVar, Type class B: pass T = TypeVar('T', bound=Type[B]) def f(a: T): pass [out] [case testTypeUsingTypeCTuple] from typing import Type, Tuple def f(a: Type[Tuple[int, int]]): a() # E: Cannot instantiate type "type[tuple[int, int]]" [builtins fixtures/tuple.pyi] [case testTypeUsingTypeCNamedTuple] from typing import Type, NamedTuple N = NamedTuple('N', [('x', int), ('y', int)]) def f(a: Type[N]): a() [builtins fixtures/list.pyi] [out] main:4: error: Missing positional arguments "x", "y" in call to "N" [case testTypeUsingTypeCJoin] from typing import Type class B: pass class C(B): pass class D(B): pass def foo(c: Type[C], d: Type[D]) -> None: x = [c, d] reveal_type(x) [builtins fixtures/list.pyi] [out] main:7: note: Revealed type is "builtins.list[type[__main__.B]]" [case testTypeEquivalentTypeAny] from typing import Type, Any a: Type[Any] b = a # type: type x: type y = x # type: Type[Any] class C: ... p: type q = p # type: Type[C] [builtins fixtures/list.pyi] [out] [case testTypeEquivalentTypeAny2] from typing import Type, Any, TypeVar, Generic class C: ... x: type y: Type[Any] z: Type[C] lst = [x, y, z] reveal_type(lst) # N: Revealed type is "builtins.list[builtins.type]" T1 = TypeVar('T1', bound=type) T2 = TypeVar('T2', bound=Type[Any]) class C1(Generic[T1]): ... class C2(Generic[T2]): ... C1[Type[Any]], C2[type] # both these should not fail [builtins fixtures/list.pyi] [out] [case testTypeEquivalentTypeAnyEdgeCase] class C: pass class M(type): def __init__(cls, x) -> None: type.__init__(cls, x) class Mbad(type): def __init__(cls, x) -> None: type.__init__(C(), x) # E: Argument 1 to "__init__" of "type" has incompatible type "C"; expected "type" [builtins fixtures/primitives.pyi] [out] [case testTypeMatchesOverloadedFunctions] from foo import * [file foo.pyi] from typing import Type, overload, Any class User: pass UserType = User # type: Type[User] @overload def f(a: int) -> Any: pass @overload def f(a: object) -> int: pass reveal_type(f(User)) # N: Revealed type is "builtins.int" reveal_type(f(UserType)) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [out] [case testTypeMatchesGeneralTypeInOverloadedFunctions] from foo import * [file foo.pyi] from typing import Type, overload class User: pass UserType = User # type: Type[User] @overload def f(a: type) -> int: return 1 @overload def f(a: int) -> str: return "a" reveal_type(f(User)) # N: Revealed type is "builtins.int" reveal_type(f(UserType)) # N: Revealed type is "builtins.int" reveal_type(f(1)) # N: Revealed type is "builtins.str" [builtins fixtures/classmethod.pyi] [out] [case testTypeMatchesSpecificTypeInOverloadedFunctions] from foo import * [file foo.pyi] from typing import Type, overload class User: pass UserType = User # type: Type[User] @overload def f(a: User) -> User: return User() @overload def f(a: Type[User]) -> int: return 1 @overload def f(a: int) -> str: return "a" reveal_type(f(User)) # N: Revealed type is "builtins.int" reveal_type(f(UserType)) # N: Revealed type is "builtins.int" reveal_type(f(User())) # N: Revealed type is "foo.User" reveal_type(f(1)) # N: Revealed type is "builtins.str" [builtins fixtures/classmethod.pyi] [out] [case testMixingTypeTypeInOverloadedFunctions] from foo import * [file foo.pyi] from typing import Type, overload class User: pass @overload def f(a: User) -> Type[User]: return User @overload def f(a: Type[User]) -> User: return a() @overload def f(a: int) -> Type[User]: return User @overload def f(a: str) -> User: return User() reveal_type(f(User())) # N: Revealed type is "type[foo.User]" reveal_type(f(User)) # N: Revealed type is "foo.User" reveal_type(f(3)) # N: Revealed type is "type[foo.User]" reveal_type(f("hi")) # N: Revealed type is "foo.User" [builtins fixtures/classmethod.pyi] [out] [case testGeneralTypeMatchesSpecificTypeInOverloadedFunctions] from foo import * [file foo.pyi] from typing import Type, Any, overload class User: pass @overload def f(a: Type[User]) -> None: pass @overload def f(a: int) -> None: pass def mock_1() -> type: return User def mock_2() -> Type[Any]: return User f(User) f(mock_1()) f(mock_2()) [builtins fixtures/classmethod.pyi] [out] [case testNonTypeDoesNotMatchOverloadedFunctions] from foo import * [file foo.pyi] from typing import Type, overload class User: pass @overload def f(a: Type[User]) -> None: pass @overload def f(a: type) -> None: pass f(3) # E: No overload variant of "f" matches argument type "int" \ # N: Possible overload variants: \ # N: def f(a: type[User]) -> None \ # N: def f(a: type) -> None [builtins fixtures/classmethod.pyi] [out] [case testInstancesDoNotMatchTypeInOverloadedFunctions] from foo import * [file foo.pyi] from typing import Type, overload class User: pass @overload def f(a: Type[User]) -> None: pass @overload def f(a: int) -> None: pass f(User) f(User()) # E: No overload variant of "f" matches argument type "User" \ # N: Possible overload variants: \ # N: def f(a: type[User]) -> None \ # N: def f(a: int) -> None [builtins fixtures/classmethod.pyi] [out] [case testTypeCovarianceWithOverloadedFunctions] from foo import * [file foo.pyi] from typing import Type, overload class A: pass class B(A): pass class C(B): pass AType = A # type: Type[A] BType = B # type: Type[B] CType = C # type: Type[C] @overload def f(a: Type[B]) -> None: pass @overload def f(a: int) -> None: pass f(A) # E: Argument 1 to "f" has incompatible type "type[A]"; expected "type[B]" f(B) f(C) f(AType) # E: Argument 1 to "f" has incompatible type "type[A]"; expected "type[B]" f(BType) f(CType) [builtins fixtures/classmethod.pyi] [out] [case testOverloadedCovariantTypesFail] from foo import * [file foo.pyi] from typing import Type, overload class A: pass class B(A): pass @overload def f(a: Type[B]) -> int: pass # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(a: Type[A]) -> str: pass [builtins fixtures/classmethod.pyi] [out] [case testDistinctOverloadedCovariantTypesSucceed] from foo import * [file foo.pyi] from typing import Type, overload class A: pass class AChild(A): pass class B: pass class BChild(B): pass @overload def f(a: Type[A]) -> int: pass @overload def f(a: Type[B]) -> str: pass @overload def f(a: A) -> A: pass @overload def f(a: B) -> B: pass reveal_type(f(A)) # N: Revealed type is "builtins.int" reveal_type(f(AChild)) # N: Revealed type is "builtins.int" reveal_type(f(B)) # N: Revealed type is "builtins.str" reveal_type(f(BChild)) # N: Revealed type is "builtins.str" reveal_type(f(A())) # N: Revealed type is "foo.A" reveal_type(f(AChild())) # N: Revealed type is "foo.A" reveal_type(f(B())) # N: Revealed type is "foo.B" reveal_type(f(BChild())) # N: Revealed type is "foo.B" [builtins fixtures/classmethod.pyi] [out] [case testSubtypeWithMoreOverloadsThanSupertypeSucceeds] from foo import * [file foo.pyi] from typing import overload class X: pass class Y: pass class Z: pass class A: @overload def f(self, x: X) -> X: pass @overload def f(self, y: Y) -> Y: pass class B(A): @overload def f(self, x: X) -> X: pass @overload def f(self, y: Y) -> Y: pass @overload def f(self, z: Z) -> Z: pass [builtins fixtures/classmethod.pyi] [out] [case testSubtypeOverloadCoveringMultipleSupertypeOverloadsSucceeds] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass class C(A): pass class D: pass class Super: @overload def foo(self, a: B) -> C: pass @overload def foo(self, a: C) -> A: pass @overload def foo(self, a: D) -> D: pass class Sub(Super): @overload def foo(self, a: A) -> C: pass @overload def foo(self, a: D) -> D: pass [builtins fixtures/classmethod.pyi] [out] [case testSubtypeOverloadWithOverlappingArgumentsButWrongReturnType] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass class C: pass class Super: @overload def foo(self, a: A) -> A: pass @overload def foo(self, a: C) -> C: pass class Sub(Super): @overload def foo(self, a: A) -> A: pass @overload def foo(self, a: B) -> C: pass # Fail @overload def foo(self, a: C) -> C: pass class Sub2(Super): @overload def foo(self, a: B) -> C: pass # Fail @overload def foo(self, a: A) -> A: pass @overload def foo(self, a: C) -> C: pass class Sub3(Super): @overload def foo(self, a: A) -> int: pass @overload def foo(self, a: A) -> A: pass @overload def foo(self, a: C) -> C: pass [builtins fixtures/classmethod.pyi] [out] tmp/foo.pyi:19: error: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader tmp/foo.pyi:24: error: Signature of "foo" incompatible with supertype "Super" tmp/foo.pyi:24: note: Superclass: tmp/foo.pyi:24: note: @overload tmp/foo.pyi:24: note: def foo(self, a: A) -> A tmp/foo.pyi:24: note: @overload tmp/foo.pyi:24: note: def foo(self, a: C) -> C tmp/foo.pyi:24: note: Subclass: tmp/foo.pyi:24: note: @overload tmp/foo.pyi:24: note: def foo(self, a: B) -> C tmp/foo.pyi:24: note: @overload tmp/foo.pyi:24: note: def foo(self, a: A) -> A tmp/foo.pyi:24: note: @overload tmp/foo.pyi:24: note: def foo(self, a: C) -> C tmp/foo.pyi:25: error: Overloaded function signatures 1 and 2 overlap with incompatible return types tmp/foo.pyi:32: error: Signature of "foo" incompatible with supertype "Super" tmp/foo.pyi:32: note: Superclass: tmp/foo.pyi:32: note: @overload tmp/foo.pyi:32: note: def foo(self, a: A) -> A tmp/foo.pyi:32: note: @overload tmp/foo.pyi:32: note: def foo(self, a: C) -> C tmp/foo.pyi:32: note: Subclass: tmp/foo.pyi:32: note: @overload tmp/foo.pyi:32: note: def foo(self, a: A) -> int tmp/foo.pyi:32: note: @overload tmp/foo.pyi:32: note: def foo(self, a: A) -> A tmp/foo.pyi:32: note: @overload tmp/foo.pyi:32: note: def foo(self, a: C) -> C tmp/foo.pyi:35: error: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader [case testTypeTypeOverlapsWithObjectAndType] from foo import * [file foo.pyi] from typing import Type, overload class User: pass @overload def f(a: Type[User]) -> int: pass # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(a: object) -> str: pass # Note: plain type is equivalent to Type[Any] so no error here @overload def g(a: Type[User]) -> int: pass @overload def g(a: type) -> str: pass @overload def h(a: Type[User]) -> int: pass # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def h(a: Type[object]) -> str: pass [builtins fixtures/classmethod.pyi] [out] [case testTypeOverlapsWithObject] from foo import * [file foo.pyi] from typing import Type, overload class User: pass @overload def f(a: type) -> int: pass # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(a: object) -> str: pass [builtins fixtures/classmethod.pyi] [out] [case testTypeConstructorReturnsTypeType] class User: @classmethod def test_class_method(cls) -> int: pass @staticmethod def test_static_method() -> str: pass def test_instance_method(self) -> None: pass u = User() reveal_type(type(u)) # N: Revealed type is "type[__main__.User]" reveal_type(type(u).test_class_method()) # N: Revealed type is "builtins.int" reveal_type(type(u).test_static_method()) # N: Revealed type is "builtins.str" type(u).test_instance_method() # E: Missing positional argument "self" in call to "test_instance_method" of "User" [builtins fixtures/classmethod.pyi] [out] [case testObfuscatedTypeConstructorReturnsTypeType] from typing import TypeVar class User: pass f1 = type A = TypeVar('A') def f2(func: A) -> A: return func u = User() reveal_type(f1(u)) # N: Revealed type is "type[__main__.User]" reveal_type(f2(type)(u)) # N: Revealed type is "type[__main__.User]" [builtins fixtures/classmethod.pyi] [out] [case testTypeConstructorLookalikeFails] class User: pass def fake1(a: object) -> type: return User def fake2(a: int) -> type: return User reveal_type(type(User())) # N: Revealed type is "type[__main__.User]" reveal_type(fake1(User())) # N: Revealed type is "builtins.type" reveal_type(fake2(3)) # N: Revealed type is "builtins.type" [builtins fixtures/classmethod.pyi] [out] [case testOtherTypeConstructorsSucceed] def foo(self) -> int: return self.attr User = type('User', (object,), {'foo': foo, 'attr': 3}) reveal_type(User) # N: Revealed type is "builtins.type" [builtins fixtures/args.pyi] [out] [case testTypeTypeComparisonWorks] class User: pass User == User User == type(User()) type(User()) == User type(User()) == type(User()) User != User User != type(User()) type(User()) != User type(User()) != type(User()) int == int int == type(3) type(3) == int type(3) == type(3) int != int int != type(3) type(3) != int type(3) != type(3) User is User User is type(User) type(User) is User type(User) is type(User) int is int int is type(3) type(3) is int type(3) is type(3) int.__eq__(int) int.__eq__(3, 4) [builtins fixtures/args.pyi] [out] main:33: error: Too few arguments for "__eq__" of "int" main:33: error: Unsupported operand types for == ("type[int]" and "type[int]") [case testDupBaseClasses] class A: def method(self) -> str: ... class B(A, A): # E: Duplicate base class "A" attr: int b: B reveal_type(b.method()) # N: Revealed type is "Any" reveal_type(b.missing()) # N: Revealed type is "Any" reveal_type(b.attr) # N: Revealed type is "builtins.int" [case testDupBaseClassesGeneric] from typing import Generic, TypeVar T = TypeVar('T') class A(Generic[T]): def method(self) -> T: ... class B(A[int], A[str]): # E: Duplicate base class "A" attr: int reveal_type(B().method()) # N: Revealed type is "Any" reveal_type(B().attr) # N: Revealed type is "builtins.int" [case testCannotDetermineMro] class A: pass class B(A): pass class C(B): pass class D(A, B): pass # E: Cannot determine consistent method resolution order (MRO) for "D" class E(C, D): pass [case testInconsistentMroLocalRef] class A: pass class B(object, A): # E: Cannot determine consistent method resolution order (MRO) for "B" def readlines(self): pass __iter__ = readlines [case testDynamicMetaclass] class C(metaclass=int()): # E: Dynamic metaclass not supported for "C" pass [case testDynamicMetaclassCrash] class C(metaclass=int().x): # E: Dynamic metaclass not supported for "C" pass [case testVariableSubclass] class A: a = 1 # type: int class B(A): a = 1 [out] [case testVariableSubclassAssignMismatch] class A: a = 1 # type: int class B(A): a = "a" [out] main:4: error: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") [case testVariableSubclassAssignment] class A: a = None # type: int class B(A): def __init__(self) -> None: self.a = "a" [out] main:5: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testVariableSubclassTypeOverwrite] class A: a = None # type: int class B(A): a = None # type: str class C(B): a = "a" [out] main:4: error: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") [case testVariableSubclassTypeOverwriteImplicit] class A: a = 1 class B(A): a = None # type: str [out] main:4: error: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") [case testVariableSuperUsage] class A: a = [] # type: list class B(A): a = [1, 2] class C(B): a = B.a + [3] [builtins fixtures/list.pyi] [out] [case testClassAllBases] from typing import Union class A: a = None # type: Union[int, str] class B(A): a = 1 class C(B): a = "str" class D(A): a = "str" [out] main:7: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testVariableTypeVar] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): a = None # type: T class B(A[int]): a = 1 [case testVariableTypeVarInvalid] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): a = None # type: T class B(A[int]): a = "abc" [out] main:6: error: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") [case testVariableTypeVarIndirectly] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): a = None # type: T class B(A[int]): pass class C(B): a = "a" [out] main:8: error: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") [case testVariableTypeVarList] from typing import List, TypeVar, Generic T = TypeVar('T') class A(Generic[T]): a = None # type: List[T] b = None # type: List[T] class B(A[int]): a = [1] b = [''] [builtins fixtures/list.pyi] [out] main:8: error: List item 0 has incompatible type "str"; expected "int" [case testVariableMethod] class A: def a(self) -> None: pass b = 1 class B(A): a = 1 # E: Incompatible types in assignment (expression has type "int", base class "A" defined the type as "Callable[[], None]") def b(self) -> None: pass # E: Signature of "b" incompatible with supertype "A" \ # N: Superclass: \ # N: int \ # N: Subclass: \ # N: def b(self) -> None [case testVariableProperty] class A: @property def a(self) -> bool: pass class B(A): a = None # type: bool class C(A): a = True class D(A): a = 1 [builtins fixtures/property.pyi] [out] main:9: error: Incompatible types in assignment (expression has type "int", base class "A" defined the type as "bool") [case testVariableOverwriteAny] from typing import Any class A: a = 1 class B(A): a = 'x' # type: Any [out] [case testInstanceMethodOverwrite] class B(): def n(self, a: int) -> None: pass class C(B): def m(self, a: int) -> None: pass n = m [out] [case testInstanceMethodOverwriteError] class B(): def n(self, a: int) -> None: pass class C(B): def m(self, a: str) -> None: pass n = m [out] main:5: error: Incompatible types in assignment (expression has type "Callable[[str], None]", base class "B" defined the type as "Callable[[int], None]") [case testInstanceMethodOverwriteTypevar] from typing import Generic, TypeVar T = TypeVar("T") class B(Generic[T]): def n(self, a: T) -> None: pass class C(B[int]): def m(self, a: int) -> None: pass n = m [case testInstanceMethodOverwriteTwice] class I: def foo(self) -> None: pass class A(I): def foo(self) -> None: pass class B(A): def bar(self) -> None: pass foo = bar class C(B): def bar(self) -> None: pass foo = bar [case testClassMethodOverwrite] class B(): @classmethod def n(self, a: int) -> None: pass class C(B): @classmethod def m(self, a: int) -> None: pass n = m [builtins fixtures/classmethod.pyi] [out] [case testClassMethodOverwriteError] class B(): @classmethod def n(self, a: int) -> None: pass class C(B): @classmethod def m(self, a: str) -> None: pass n = m [builtins fixtures/classmethod.pyi] [out] main:7: error: Incompatible types in assignment (expression has type "Callable[[str], None]", base class "B" defined the type as "Callable[[int], None]") [case testClassSpec] from typing import Callable class A(): b = None # type: Callable[[int], int] class B(A): def c(self, a: int) -> int: pass b = c reveal_type(A().b) # N: Revealed type is "def (builtins.int) -> builtins.int" reveal_type(B().b) # N: Revealed type is "def (a: builtins.int) -> builtins.int" [case testClassSpecError] from typing import Callable class A(): b = None # type: Callable[[int], int] class B(A): def c(self, a: str) -> int: pass b = c # E: Incompatible types in assignment (expression has type "Callable[[str], int]", base class "A" defined the type as "Callable[[int], int]") [case testClassStaticMethod] class A(): @staticmethod def a(a: int) -> None: pass class B(A): @staticmethod def b(a: str) -> None: pass a = b [builtins fixtures/staticmethod.pyi] [out] main:7: error: Incompatible types in assignment (expression has type "Callable[[str], None]", base class "A" defined the type as "Callable[[int], None]") [case testClassStaticMethodIndirect] class A(): @staticmethod def a(a: int) -> None: pass c = a class B(A): @staticmethod def b(a: str) -> None: pass c = b # E: Incompatible types in assignment (expression has type "Callable[[str], None]", base class "A" defined the type as "Callable[[int], None]") a: A reveal_type(a.a) # N: Revealed type is "def (a: builtins.int)" reveal_type(a.c) # N: Revealed type is "def (a: builtins.int)" [builtins fixtures/staticmethod.pyi] [case testClassStaticMethodIndirectOverloaded] from typing import overload class A: @overload @staticmethod def a(x: int) -> int: ... @overload @staticmethod def a(x: str) -> str: ... @staticmethod def a(x): ... c = a reveal_type(A.c) # N: Revealed type is "Overload(def (x: builtins.int) -> builtins.int, def (x: builtins.str) -> builtins.str)" reveal_type(A().c) # N: Revealed type is "Overload(def (x: builtins.int) -> builtins.int, def (x: builtins.str) -> builtins.str)" [builtins fixtures/staticmethod.pyi] [case testClassStaticMethodSubclassing] class A: @staticmethod def a() -> None: pass def b(self) -> None: pass @staticmethod def c() -> None: pass class B(A): def a(self) -> None: pass # Fail @classmethod def b(cls) -> None: pass @staticmethod def c() -> None: pass [builtins fixtures/classmethod.pyi] [out] main:11: error: Signature of "a" incompatible with supertype "A" main:11: note: Superclass: main:11: note: @staticmethod main:11: note: def a() -> None main:11: note: Subclass: main:11: note: def a(self) -> None [case testTempNode] class A(): def a(self) -> None: pass class B(A): def b(self) -> None: pass a = c = b [case testListObject] from typing import List class A: x = [] # type: List[object] class B(A): x = [1] [builtins fixtures/list.pyi] [case testClassMemberObject] class A: x = object() class B(A): x = 1 class C(B): x = '' [out] main:6: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testSlots] class A: __slots__ = ("a") class B(A): __slots__ = ("a", "b") [builtins fixtures/tuple.pyi] [case testClassOrderOfError] class A: x = 1 class B(A): x = "a" # E: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") class C(B): x = object() # E: Incompatible types in assignment (expression has type "object", base class "B" defined the type as "str") [case testClassOneErrorPerLine] class A: x = 1 class B(A): x: str = "" # E: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") x = 1.0 # E: Incompatible types in assignment (expression has type "float", variable has type "str") class BInfer(A): x = "" # E: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") x = 1.0 # E: Incompatible types in assignment (expression has type "float", variable has type "str") \ # E: Incompatible types in assignment (expression has type "float", base class "A" defined the type as "int") [case testClassIgnoreType_RedefinedAttributeAndGrandparentAttributeTypesNotIgnored] class A: x = 0 class B(A): x = '' # type: ignore class C(B): x = '' [case testClassIgnoreType_RedefinedAttributeTypeIgnoredInChildren] class A: x = 0 class B(A): x = '' # type: ignore class C(B): x = '' # type: ignore [case testInvalidMetaclassStructure] class X(type): pass class Y(type): pass class A(metaclass=X): pass class B(A, metaclass=Y): pass # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.Y" (metaclass of "__main__.B") conflicts with "__main__.X" (metaclass of "__main__.A") [case testMetaclassNoTypeReveal] class M: x = 0 # type: int class A(metaclass=M): pass # E: Metaclasses not inheriting from "type" are not supported A.x # E: "type[A]" has no attribute "x" [case testMetaclassTypeReveal] from typing import Type class M(type): x = 0 # type: int class A(metaclass=M): pass def f(TA: Type[A]): reveal_type(TA) # N: Revealed type is "type[__main__.A]" reveal_type(TA.x) # N: Revealed type is "builtins.int" [case testMetaclassConflictingInstanceVars] from typing import ClassVar class Meta(type): foo: int bar: int eggs: ClassVar[int] = 42 spam: ClassVar[int] = 42 class Foo(metaclass=Meta): foo: str bar: ClassVar[str] = 'bar' eggs: str spam: ClassVar[str] = 'spam' reveal_type(Foo.foo) # N: Revealed type is "builtins.int" reveal_type(Foo.bar) # N: Revealed type is "builtins.str" reveal_type(Foo.eggs) # N: Revealed type is "builtins.int" reveal_type(Foo.spam) # N: Revealed type is "builtins.str" class MetaSub(Meta): ... class Bar(metaclass=MetaSub): foo: str bar: ClassVar[str] = 'bar' eggs: str spam: ClassVar[str] = 'spam' reveal_type(Bar.foo) # N: Revealed type is "builtins.int" reveal_type(Bar.bar) # N: Revealed type is "builtins.str" reveal_type(Bar.eggs) # N: Revealed type is "builtins.int" reveal_type(Bar.spam) # N: Revealed type is "builtins.str" [case testSubclassMetaclass] class M1(type): x = 0 class M2(M1): pass class C(metaclass=M2): pass reveal_type(C.x) # N: Revealed type is "builtins.int" [case testMetaclassSubclass] from typing import Type class M(type): x = 0 # type: int class A(metaclass=M): pass class B(A): pass def f(TB: Type[B]): reveal_type(TB) # N: Revealed type is "type[__main__.B]" reveal_type(TB.x) # N: Revealed type is "builtins.int" [case testMetaclassAsAny] from typing import Any, ClassVar, Type MyAny: Any class WithMeta(metaclass=MyAny): x: ClassVar[int] reveal_type(WithMeta.a) # N: Revealed type is "Any" reveal_type(WithMeta.m) # N: Revealed type is "Any" reveal_type(WithMeta.x) # N: Revealed type is "builtins.int" reveal_type(WithMeta().x) # N: Revealed type is "builtins.int" WithMeta().m # E: "WithMeta" has no attribute "m" WithMeta().a # E: "WithMeta" has no attribute "a" t: Type[WithMeta] t.unknown # OK [case testMetaclassAsAnyWithAFlag] # flags: --disallow-subclassing-any from typing import Any, ClassVar, Type MyAny: Any class WithMeta(metaclass=MyAny): # E: Class cannot use "MyAny" as a metaclass (has type "Any") x: ClassVar[int] reveal_type(WithMeta.a) # N: Revealed type is "Any" reveal_type(WithMeta.m) # N: Revealed type is "Any" reveal_type(WithMeta.x) # N: Revealed type is "builtins.int" reveal_type(WithMeta().x) # N: Revealed type is "builtins.int" WithMeta().m # E: "WithMeta" has no attribute "m" WithMeta().a # E: "WithMeta" has no attribute "a" t: Type[WithMeta] t.unknown # OK [case testUnpackIterableClassWithOverloadedIter] from typing import Generic, overload, Iterator, TypeVar, Union AnyNum = TypeVar('AnyNum', int, float) class Foo(Generic[AnyNum]): @overload def __iter__(self: Foo[int]) -> Iterator[float]: ... @overload def __iter__(self: Foo[float]) -> Iterator[int]: ... def __iter__(self) -> Iterator[Union[float, int]]: ... a, b, c = Foo[int]() reveal_type(a) # N: Revealed type is "builtins.float" reveal_type(b) # N: Revealed type is "builtins.float" reveal_type(c) # N: Revealed type is "builtins.float" x, y = Foo[float]() reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testUnpackIterableClassWithOverloadedIter2] from typing import Union, TypeVar, Generic, overload, Iterator X = TypeVar('X') class Foo(Generic[X]): @overload def __iter__(self: Foo[str]) -> Iterator[int]: ... # type: ignore @overload def __iter__(self: Foo[X]) -> Iterator[str]: ... def __iter__(self) -> Iterator[Union[int, str]]: ... a, b, c = Foo[str]() reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.int" reveal_type(c) # N: Revealed type is "builtins.int" x, y = Foo[float]() reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(y) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [case testUnpackIterableRegular] from typing import TypeVar, Generic, Iterator X = TypeVar('X') class Foo(Generic[X]): def __iter__(self) -> Iterator[X]: ... a, b = Foo[int]() reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testUnpackNotIterableClass] class Foo: ... a, b, c = Foo() # E: "Foo" object is not iterable [builtins fixtures/list.pyi] [case testMetaclassIterable] from typing import Iterable, Iterator class ImplicitMeta(type): def __iter__(self) -> Iterator[int]: yield 1 class Implicit(metaclass=ImplicitMeta): pass for _ in Implicit: pass reveal_type(list(Implicit)) # N: Revealed type is "builtins.list[builtins.int]" class ExplicitMeta(type, Iterable[int]): def __iter__(self) -> Iterator[int]: yield 1 class Explicit(metaclass=ExplicitMeta): pass for _ in Explicit: pass reveal_type(list(Explicit)) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testMetaclassTuple] from typing import Tuple class M(Tuple[int]): pass class C(metaclass=M): pass # E: Invalid metaclass "M" [builtins fixtures/tuple.pyi] [case testMetaclassOperatorBeforeReversed] class X: def __radd__(self, x: int) -> int: ... class Meta(type): def __add__(cls, x: X) -> str: ... class Concrete(metaclass=Meta): pass reveal_type(Concrete + X()) # N: Revealed type is "builtins.str" Concrete + "hello" # E: Unsupported operand types for + ("type[Concrete]" and "str") [case testMetaclassOperatorTypeVar] from typing import Type, TypeVar class MetaClass(type): def __mul__(cls, other: int) -> str: return "" class Test(metaclass=MetaClass): pass S = TypeVar("S", bound=Test) def f(x: Type[Test]) -> str: return x * 0 def g(x: Type[S]) -> str: return reveal_type(x * 0) # N: Revealed type is "builtins.str" [case testMetaclassGetitem] import types class M(type): def __getitem__(self, key) -> int: return 1 class A(metaclass=M): pass reveal_type(A[M]) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testMetaclassSelfType] from typing import TypeVar, Type class M(type): pass T = TypeVar('T') class M1(M): def foo(cls: Type[T]) -> T: ... class A(metaclass=M1): pass reveal_type(A.foo()) # N: Revealed type is "__main__.A" [case testMetaclassAndSkippedImport] # flags: --ignore-missing-imports from missing import M class A(metaclass=M): y = 0 reveal_type(A.y) # N: Revealed type is "builtins.int" reveal_type(A.x) # N: Revealed type is "Any" [case testValidTypeAliasAsMetaclass] from typing_extensions import TypeAlias Explicit: TypeAlias = type Implicit = type class E(metaclass=Explicit): ... class I(metaclass=Implicit): ... [builtins fixtures/classmethod.pyi] [case testValidTypeAliasOfTypeAliasAsMetaclass] from typing_extensions import TypeAlias Explicit: TypeAlias = type Implicit = type A1: TypeAlias = Explicit A2 = Explicit A3: TypeAlias = Implicit A4 = Implicit class C1(metaclass=A1): ... class C2(metaclass=A2): ... class C3(metaclass=A3): ... class C4(metaclass=A4): ... [builtins fixtures/classmethod.pyi] [case testTypeAliasWithArgsAsMetaclass] from typing import Generic, TypeVar from typing_extensions import TypeAlias T = TypeVar('T') class Meta(Generic[T]): ... Explicit: TypeAlias = Meta[T] Implicit = Meta[T] class E(metaclass=Explicit): ... # E: Invalid metaclass "Explicit" class I(metaclass=Implicit): ... # E: Invalid metaclass "Implicit" [builtins fixtures/classmethod.pyi] [case testTypeAliasNonTypeAsMetaclass] from typing_extensions import TypeAlias Explicit: TypeAlias = int Implicit = int class E(metaclass=Explicit): ... # E: Metaclasses not inheriting from "type" are not supported class I(metaclass=Implicit): ... # E: Metaclasses not inheriting from "type" are not supported [builtins fixtures/classmethod.pyi] [case testInvalidVariableAsMetaclass] from typing import Any M = 0 # type: int MM = 0 class A(metaclass=M): # E: Invalid metaclass "M" y = 0 class B(metaclass=MM): # E: Invalid metaclass "MM" y = 0 reveal_type(A.y) # N: Revealed type is "builtins.int" A.x # E: "type[A]" has no attribute "x" [case testAnyAsBaseOfMetaclass] from typing import Any, Type M = None # type: Any class MM(M): pass class A(metaclass=MM): y = 0 @classmethod def f(cls) -> None: pass def g(self) -> None: pass def h(a: Type[A], b: Type[object]) -> None: h(a, a) h(b, a) # E: Argument 1 to "h" has incompatible type "type[object]"; expected "type[A]" a.f(1) # E: Too many arguments for "f" of "A" reveal_type(a.y) # N: Revealed type is "builtins.int" x = A # type: MM reveal_type(A.y) # N: Revealed type is "builtins.int" reveal_type(A.x) # N: Revealed type is "Any" A.f(1) # E: Too many arguments for "f" of "A" A().g(1) # E: Too many arguments for "g" of "A" [builtins fixtures/classmethod.pyi] [case testMetaclassTypeCallable] class M(type): x = 5 class A(metaclass=M): pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" [case testMetaclassStrictSupertypeOfTypeWithClassmethods] from typing import Type, TypeVar TA = TypeVar('TA', bound='A') TTA = TypeVar('TTA', bound='Type[A]') TM = TypeVar('TM', bound='M') class M(type): def g1(cls: 'Type[A]') -> A: pass # E: The erased type of self "type[__main__.A]" is not a supertype of its class "__main__.M" def g2(cls: Type[TA]) -> TA: pass # E: The erased type of self "type[__main__.A]" is not a supertype of its class "__main__.M" def g3(cls: TTA) -> TTA: pass # E: The erased type of self "type[__main__.A]" is not a supertype of its class "__main__.M" def g4(cls: TM) -> TM: pass m: M class A(metaclass=M): def foo(self): pass reveal_type(A.g1) # N: Revealed type is "def () -> __main__.A" reveal_type(A.g2) # N: Revealed type is "def () -> __main__.A" reveal_type(A.g3) # N: Revealed type is "def () -> def () -> __main__.A" reveal_type(A.g4) # N: Revealed type is "def () -> def () -> __main__.A" class B(metaclass=M): def foo(self): pass B.g1 # E: Invalid self argument "type[B]" to attribute function "g1" with type "Callable[[type[A]], A]" B.g2 # E: Invalid self argument "type[B]" to attribute function "g2" with type "Callable[[type[TA]], TA]" B.g3 # E: Invalid self argument "type[B]" to attribute function "g3" with type "Callable[[TTA], TTA]" reveal_type(B.g4) # N: Revealed type is "def () -> def () -> __main__.B" # 4 examples of unsoundness - instantiation, classmethod, staticmethod and ClassVar: ta: Type[A] = m # E: Incompatible types in assignment (expression has type "M", variable has type "type[A]") a: A = ta() reveal_type(ta.g1) # N: Revealed type is "def () -> __main__.A" reveal_type(ta.g2) # N: Revealed type is "def () -> __main__.A" reveal_type(ta.g3) # N: Revealed type is "def () -> type[__main__.A]" reveal_type(ta.g4) # N: Revealed type is "def () -> type[__main__.A]" x: M = ta x.g1 # E: Invalid self argument "M" to attribute function "g1" with type "Callable[[type[A]], A]" x.g2 # E: Invalid self argument "M" to attribute function "g2" with type "Callable[[type[TA]], TA]" x.g3 # E: Invalid self argument "M" to attribute function "g3" with type "Callable[[TTA], TTA]" reveal_type(x.g4) # N: Revealed type is "def () -> __main__.M" def r(ta: Type[TA], tta: TTA) -> None: x: M = ta y: M = tta class Class(metaclass=M): @classmethod def f1(cls: Type[Class]) -> None: pass @classmethod def f2(cls: M) -> None: pass cl: Type[Class] = m # E: Incompatible types in assignment (expression has type "M", variable has type "type[Class]") reveal_type(cl.f1) # N: Revealed type is "def ()" reveal_type(cl.f2) # N: Revealed type is "def ()" x1: M = cl class Static(metaclass=M): @staticmethod def f() -> None: pass s: Type[Static] = m # E: Incompatible types in assignment (expression has type "M", variable has type "type[Static]") reveal_type(s.f) # N: Revealed type is "def ()" x2: M = s from typing import ClassVar class Cvar(metaclass=M): x = 1 # type: ClassVar[int] cv: Type[Cvar] = m # E: Incompatible types in assignment (expression has type "M", variable has type "type[Cvar]") cv.x x3: M = cv [builtins fixtures/classmethod.pyi] [case testMetaclassOverloadResolution] from typing import Type, overload class A: pass class EM(type): pass class E(metaclass=EM): pass class EM1(type): pass class E1(metaclass=EM1): pass @overload def f(x: EM) -> int: ... @overload def f(x: EM1) -> A: ... @overload def f(x: str) -> str: ... def f(x: object) -> object: return '' e: EM reveal_type(f(e)) # N: Revealed type is "builtins.int" et: Type[E] reveal_type(f(et)) # N: Revealed type is "builtins.int" e1: EM1 reveal_type(f(e1)) # N: Revealed type is "__main__.A" e1t: Type[E1] reveal_type(f(e1t)) # N: Revealed type is "__main__.A" reveal_type(f('')) # N: Revealed type is "builtins.str" [case testTypeCErasesGenericsFromC] from typing import Generic, Type, TypeVar K = TypeVar('K') V = TypeVar('V') class ExampleDict(Generic[K, V]): ... D = TypeVar('D') def mkdict(dict_type: Type[D]) -> D: ... reveal_type(mkdict(ExampleDict)) # N: Revealed type is "__main__.ExampleDict[Any, Any]" [case testTupleForwardBase] from m import a a[0]() # E: "int" not callable [file m.py] from typing import Tuple a: A class A(Tuple[int, str]): pass [builtins fixtures/tuple.pyi] -- Synthetic types crashes -- ----------------------- [case testCrashOnSelfRecursiveNamedTupleVar] from typing import NamedTuple def test() -> None: N = NamedTuple('N', [('x', N)]) # E: Cannot resolve name "N" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope n: N reveal_type(n) # N: Revealed type is "tuple[Any, fallback=__main__.N@4]" [builtins fixtures/tuple.pyi] [case testCrashOnSelfRecursiveTypedDictVar] from typing import TypedDict A = TypedDict('A', {'a': 'A'}) # type: ignore a: A [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-typeddict.pyi] [case testCrashInJoinOfSelfRecursiveNamedTuples] from typing import NamedTuple class N(NamedTuple): x: N # type: ignore class M(NamedTuple): x: M # type: ignore n: N m: M lst = [n, m] [builtins fixtures/isinstancelist.pyi] [case testCorrectJoinOfSelfRecursiveTypedDicts] from typing import TypedDict def test() -> None: class N(TypedDict): x: N # E: Cannot resolve name "N" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope class M(TypedDict): x: M # E: Cannot resolve name "M" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope n: N m: M lst = [n, m] reveal_type(lst[0]['x']) # N: Revealed type is "Any" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-typeddict.pyi] [case testCrashInForwardRefToNamedTupleWithIsinstance] from typing import Dict, NamedTuple NameDict = Dict[str, 'NameInfo'] class NameInfo(NamedTuple): ast: bool def parse_ast(name_dict: NameDict) -> None: if isinstance(name_dict[''], int): pass reveal_type(name_dict['test']) # N: Revealed type is "tuple[builtins.bool, fallback=__main__.NameInfo]" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] [case testCrashInForwardRefToTypedDictWithIsinstance] from typing import Dict, TypedDict NameDict = Dict[str, 'NameInfo'] class NameInfo(TypedDict): ast: bool def parse_ast(name_dict: NameDict) -> None: if isinstance(name_dict[''], int): pass reveal_type(name_dict['']['ast']) # N: Revealed type is "builtins.bool" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-typeddict.pyi] [case testCorrectIsinstanceInForwardRefToNewType] from typing import Dict, NewType NameDict = Dict[str, 'NameInfo'] class Base: ast: bool NameInfo = NewType('NameInfo', Base) def parse_ast(name_dict: NameDict) -> None: if isinstance(name_dict[''], int): pass x = name_dict[''] reveal_type(x) # N: Revealed type is "__main__.NameInfo" if int(): x = NameInfo(Base()) # OK x = Base() # E: Incompatible types in assignment (expression has type "Base", variable has type "NameInfo") [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] [case testNoCrashForwardRefToBrokenDoubleNewType] from typing import Any, Dict, List, NewType Foo = NewType('NotFoo', int) # E: String argument 1 "NotFoo" to NewType(...) does not match variable name "Foo" Foos = NewType('Foos', List[Foo]) # type: ignore def frob(foos: Dict[Any, Foos]) -> None: foo = foos.get(1) assert foo dict(foo) [builtins fixtures/dict.pyi] [out] [case testNoCrashForwardRefToBrokenDoubleNewTypeClass] from typing import Any, Dict, List, NewType Foo = NewType('NotFoo', int) # type: ignore Foos = NewType('Foos', List[Foo]) # type: ignore x: C class C: def frob(self, foos: Dict[Any, Foos]) -> None: foo = foos.get(1) assert foo dict(foo) reveal_type(x.frob) # N: Revealed type is "def (foos: builtins.dict[Any, __main__.Foos])" [builtins fixtures/dict.pyi] [out] [case testNewTypeFromForwardNamedTuple] from typing import NewType, NamedTuple, Tuple NT = NewType('NT', 'N') class N(NamedTuple): x: int x: NT = N(1) # E: Incompatible types in assignment (expression has type "N", variable has type "NT") x = NT(N(1)) [builtins fixtures/tuple.pyi] [out] [case testNewTypeFromForwardTypedDict] from typing import NewType, Tuple, TypedDict NT = NewType('NT', 'N') # E: Argument 2 to NewType(...) must be subclassable (got "N") class N(TypedDict): x: int [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testCorrectAttributeInForwardRefToNamedTuple] from typing import NamedTuple proc: Process reveal_type(proc.state) # N: Revealed type is "builtins.int" def get_state(proc: 'Process') -> int: return proc.state class Process(NamedTuple): state: int [builtins fixtures/tuple.pyi] [out] [case testCorrectItemTypeInForwardRefToTypedDict] from typing import TypedDict proc: Process reveal_type(proc['state']) # N: Revealed type is "builtins.int" def get_state(proc: 'Process') -> int: return proc['state'] class Process(TypedDict): state: int [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testCorrectDoubleForwardNamedTuple] from typing import NamedTuple x: A class A(NamedTuple): one: 'B' other: int class B(NamedTuple): attr: str y: A y = x reveal_type(x.one.attr) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [out] [case testCrashOnDoubleForwardTypedDict] from typing import TypedDict x: A class A(TypedDict): one: 'B' other: int class B(TypedDict): attr: str reveal_type(x['one']['attr']) # N: Revealed type is "builtins.str" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testCrashOnForwardUnionOfNamedTuples] from typing import Union, NamedTuple Node = Union['Foo', 'Bar'] class Foo(NamedTuple): x: int class Bar(NamedTuple): x: int def foo(node: Node) -> int: x = node reveal_type(node) # N: Revealed type is "Union[tuple[builtins.int, fallback=__main__.Foo], tuple[builtins.int, fallback=__main__.Bar]]" return x.x [builtins fixtures/tuple.pyi] [out] [case testCrashOnForwardUnionOfTypedDicts] from typing import TypedDict, Union NodeType = Union['Foo', 'Bar'] class Foo(TypedDict): x: int class Bar(TypedDict): x: int def foo(node: NodeType) -> int: x = node return x['x'] [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testSupportForwardUnionOfNewTypes] from typing import Union, NewType x: Node reveal_type(x.x) # N: Revealed type is "builtins.int" class A: x: int class B: x: int Node = Union['Foo', 'Bar'] Foo = NewType('Foo', A) Bar = NewType('Bar', B) def foo(node: Node) -> Node: x = node return Foo(A()) [out] [case testForwardReferencesInNewTypeMRORecomputed] from typing import NewType x: Foo Foo = NewType('Foo', 'B') class A: x: int class B(A): pass reveal_type(x.x) # N: Revealed type is "builtins.int" [out] [case testCrashOnComplexNamedTupleUnionProperty] from typing import NamedTuple, Union x: AOrB AOrB = Union['A', 'B'] class A(NamedTuple): x: int class B(object): def __init__(self, a: AOrB) -> None: self.a = a @property def x(self) -> int: return self.a.x reveal_type(x.x) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [out] [case testCorrectIsinstanceWithForwardUnion] from typing import Union, NamedTuple ForwardUnion = Union['TP', int] class TP(NamedTuple('TP', [('x', int)])): pass def f(x: ForwardUnion) -> None: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, fallback=__main__.TP], builtins.int]" if isinstance(x, TP): reveal_type(x) # N: Revealed type is "tuple[builtins.int, fallback=__main__.TP]" [builtins fixtures/isinstance.pyi] [out] [case testCrashInvalidArgsSyntheticClassSyntax] from typing import List, NamedTuple, TypedDict class TD(TypedDict): x: List[int, str] # E: "list" expects 1 type argument, but 2 given class NM(NamedTuple): x: List[int, str] # E: "list" expects 1 type argument, but 2 given # These two should never crash, reveals are in the next test TD({'x': []}) NM(x=[]) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testCrashInvalidArgsSyntheticClassSyntaxReveals] from typing import List, NamedTuple, TypedDict class TD(TypedDict): x: List[int, str] # E: "list" expects 1 type argument, but 2 given class NM(NamedTuple): x: List[int, str] # E: "list" expects 1 type argument, but 2 given x: TD x1 = TD({'x': []}) y: NM y1 = NM(x=[]) reveal_type(x) # N: Revealed type is "TypedDict('__main__.TD', {'x': builtins.list[Any]})" reveal_type(x1) # N: Revealed type is "TypedDict('__main__.TD', {'x': builtins.list[Any]})" reveal_type(y) # N: Revealed type is "tuple[builtins.list[Any], fallback=__main__.NM]" reveal_type(y1) # N: Revealed type is "tuple[builtins.list[Any], fallback=__main__.NM]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testCrashInvalidArgsSyntheticFunctionSyntax] from typing import List, NewType, NamedTuple, TypedDict TD = TypedDict('TD', {'x': List[int, str]}) # E: "list" expects 1 type argument, but 2 given NM = NamedTuple('NM', [('x', List[int, str])]) # E: "list" expects 1 type argument, but 2 given NT = NewType('NT', List[int, str]) # E: "list" expects 1 type argument, but 2 given # These three should not crash TD({'x': []}) NM(x=[]) NT([]) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testCrashForwardSyntheticClassSyntax] from typing import NamedTuple, TypedDict class A1(NamedTuple): b: 'B' x: int class A2(TypedDict): b: 'B' x: int class B: pass x: A1 y: A2 reveal_type(x.b) # N: Revealed type is "__main__.B" reveal_type(y['b']) # N: Revealed type is "__main__.B" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testCrashForwardSyntheticFunctionSyntax] from typing import NamedTuple, TypedDict A1 = NamedTuple('A1', [('b', 'B'), ('x', int)]) A2 = TypedDict('A2', {'b': 'B', 'x': int}) class B: pass x: A1 y: A2 reveal_type(x.b) # N: Revealed type is "__main__.B" reveal_type(y['b']) # N: Revealed type is "__main__.B" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] -- Special support for six -- ----------------------- [case testSixMetaclass] import six class M(type): x = 5 class A(six.with_metaclass(M)): pass @six.add_metaclass(M) class B: pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" reveal_type(type(B).x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testFromSixMetaclass] from six import with_metaclass, add_metaclass class M(type): x = 5 class A(with_metaclass(M)): pass @add_metaclass(M) class B: pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" reveal_type(type(B).x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testSixMetaclassImportFrom] import six from metadefs import M class A(six.with_metaclass(M)): pass @six.add_metaclass(M) class B: pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" reveal_type(type(B).x) # N: Revealed type is "builtins.int" [file metadefs.py] class M(type): x = 5 [builtins fixtures/tuple.pyi] [case testSixMetaclassImport] import six import metadefs class A(six.with_metaclass(metadefs.M)): pass @six.add_metaclass(metadefs.M) class B: pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" reveal_type(type(B).x) # N: Revealed type is "builtins.int" [file metadefs.py] class M(type): x = 5 [builtins fixtures/tuple.pyi] [case testSixMetaclassAndBase] from typing import Iterable, Iterator import six class M(type, Iterable[int]): x = 5 def __iter__(self) -> Iterator[int]: ... class A: def foo(self): pass class B: def bar(self): pass class C1(six.with_metaclass(M, A)): pass @six.add_metaclass(M) class D1(A): pass class C2(six.with_metaclass(M, A, B)): pass @six.add_metaclass(M) class D2(A, B): pass reveal_type(type(C1).x) # N: Revealed type is "builtins.int" reveal_type(type(D1).x) # N: Revealed type is "builtins.int" reveal_type(type(C2).x) # N: Revealed type is "builtins.int" reveal_type(type(D2).x) # N: Revealed type is "builtins.int" C1().foo() D1().foo() C1().bar() # E: "C1" has no attribute "bar" D1().bar() # E: "D1" has no attribute "bar" for x in C1: reveal_type(x) # N: Revealed type is "builtins.int" for x in C2: reveal_type(x) # N: Revealed type is "builtins.int" C2().foo() D2().foo() C2().bar() D2().bar() C2().baz() # E: "C2" has no attribute "baz" D2().baz() # E: "D2" has no attribute "baz" [builtins fixtures/tuple.pyi] [case testSixMetaclassGenerics] from typing import Generic, GenericMeta, TypeVar import six class DestroyableMeta(type): pass class Destroyable(six.with_metaclass(DestroyableMeta)): pass T_co = TypeVar('T_co', bound='Destroyable', covariant=True) class ArcMeta(GenericMeta, DestroyableMeta): pass class Arc(six.with_metaclass(ArcMeta, Generic[T_co], Destroyable)): pass @six.add_metaclass(ArcMeta) class Arc1(Generic[T_co], Destroyable): pass class MyDestr(Destroyable): pass reveal_type(Arc[MyDestr]()) # N: Revealed type is "__main__.Arc[__main__.MyDestr]" reveal_type(Arc1[MyDestr]()) # N: Revealed type is "__main__.Arc1[__main__.MyDestr]" [builtins fixtures/bool.pyi] [typing fixtures/typing-full.pyi] [case testSixMetaclassErrors] import six class M(type): pass class A(object): pass def f() -> type: return M class C1(six.with_metaclass(M), object): pass # E: Unsupported dynamic base class "six.with_metaclass" class C2(C1, six.with_metaclass(M)): pass # E: Unsupported dynamic base class "six.with_metaclass" class C3(six.with_metaclass(A)): pass # E: Metaclasses not inheriting from "type" are not supported @six.add_metaclass(A) # E: Metaclasses not inheriting from "type" are not supported \ # E: Argument 1 to "add_metaclass" has incompatible type "type[A]"; expected "type[type]" class D3(A): pass class C4(six.with_metaclass(M), metaclass=M): pass # E: Multiple metaclass definitions @six.add_metaclass(M) class D4(metaclass=M): pass # E: Multiple metaclass definitions class C5(six.with_metaclass(f())): pass # E: Dynamic metaclass not supported for "C5" @six.add_metaclass(f()) # E: Dynamic metaclass not supported for "D5" class D5: pass @six.add_metaclass(M) class CD(six.with_metaclass(M)): pass # E: Multiple metaclass definitions class M1(type): pass class Q1(metaclass=M1): pass @six.add_metaclass(M) class CQA(Q1): pass # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.M" (metaclass of "__main__.CQA") conflicts with "__main__.M1" (metaclass of "__main__.Q1") class CQW(six.with_metaclass(M, Q1)): pass # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.M" (metaclass of "__main__.CQW") conflicts with "__main__.M1" (metaclass of "__main__.Q1") [builtins fixtures/tuple.pyi] [case testSixMetaclassAny] import t # type: ignore import six class E(metaclass=t.M): pass class F(six.with_metaclass(t.M)): pass @six.add_metaclass(t.M) class G: pass [builtins fixtures/tuple.pyi] [case testSixMetaclassGenericBase] import six import abc from typing import TypeVar, Generic T = TypeVar("T") class C(six.with_metaclass(abc.ABCMeta, Generic[T])): pass class D(six.with_metaclass(abc.ABCMeta, C[T])): pass [builtins fixtures/tuple.pyi] -- Special support for future.utils -- -------------------------------- [case testFutureMetaclass] import future.utils class M(type): x = 5 class A(future.utils.with_metaclass(M)): pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testFromFutureMetaclass] from future.utils import with_metaclass class M(type): x = 5 class A(with_metaclass(M)): pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testFutureMetaclassImportFrom] import future.utils from metadefs import M class A(future.utils.with_metaclass(M)): pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" [file metadefs.py] class M(type): x = 5 [builtins fixtures/tuple.pyi] [case testFutureMetaclassImport] import future.utils import metadefs class A(future.utils.with_metaclass(metadefs.M)): pass reveal_type(type(A).x) # N: Revealed type is "builtins.int" [file metadefs.py] class M(type): x = 5 [builtins fixtures/tuple.pyi] [case testFutureMetaclassAndBase] from typing import Iterable, Iterator import future.utils class M(type, Iterable[int]): x = 5 def __iter__(self) -> Iterator[int]: ... class A: def foo(self): pass class B: def bar(self): pass class C1(future.utils.with_metaclass(M, A)): pass class C2(future.utils.with_metaclass(M, A, B)): pass reveal_type(type(C1).x) # N: Revealed type is "builtins.int" reveal_type(type(C2).x) # N: Revealed type is "builtins.int" C1().foo() C1().bar() # E: "C1" has no attribute "bar" for x in C1: reveal_type(x) # N: Revealed type is "builtins.int" for x in C2: reveal_type(x) # N: Revealed type is "builtins.int" C2().foo() C2().bar() C2().baz() # E: "C2" has no attribute "baz" [builtins fixtures/tuple.pyi] [case testFutureMetaclassGenerics] from typing import Generic, GenericMeta, TypeVar import future.utils class DestroyableMeta(type): pass class Destroyable(future.utils.with_metaclass(DestroyableMeta)): pass T_co = TypeVar('T_co', bound='Destroyable', covariant=True) class ArcMeta(GenericMeta, DestroyableMeta): pass class Arc(future.utils.with_metaclass(ArcMeta, Generic[T_co], Destroyable)): pass class MyDestr(Destroyable): pass reveal_type(Arc[MyDestr]()) # N: Revealed type is "__main__.Arc[__main__.MyDestr]" [builtins fixtures/bool.pyi] [typing fixtures/typing-full.pyi] [case testFutureMetaclassErrors] import future.utils class M(type): pass class A(object): pass def f() -> type: return M class C1(future.utils.with_metaclass(M), object): pass # E: Unsupported dynamic base class "future.utils.with_metaclass" class C2(C1, future.utils.with_metaclass(M)): pass # E: Unsupported dynamic base class "future.utils.with_metaclass" class C3(future.utils.with_metaclass(A)): pass # E: Metaclasses not inheriting from "type" are not supported class C4(future.utils.with_metaclass(M), metaclass=M): pass # E: Multiple metaclass definitions class C5(future.utils.with_metaclass(f())): pass # E: Dynamic metaclass not supported for "C5" class M1(type): pass class Q1(metaclass=M1): pass class CQW(future.utils.with_metaclass(M, Q1)): pass # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.M" (metaclass of "__main__.CQW") conflicts with "__main__.M1" (metaclass of "__main__.Q1") [builtins fixtures/tuple.pyi] [case testFutureMetaclassAny] import t # type: ignore import future.utils class E(metaclass=t.M): pass class F(future.utils.with_metaclass(t.M)): pass -- Misc -- ---- [builtins fixtures/tuple.pyi] [case testCorrectEnclosingClassPushedInDeferred] class C: def __getattr__(self, attr: str) -> int: x: F return x.f class F: def __init__(self, f: int) -> None: self.f = f [out] [case testCorrectEnclosingClassPushedInDeferred2] from typing import TypeVar T = TypeVar('T', bound='C') class C: def m(self: T) -> T: class Inner: x: F f = x.f return self class F: def __init__(self, f: int) -> None: self.f = f [out] [case testCorrectEnclosingClassPushedInDeferred3] class A: def f(self) -> None: def g(x: int) -> int: return y y = int() [out] [case testMetaclassMemberAccessViaType] from typing import Type class M(type): def m(cls, x: int) -> int: pass class C(metaclass=M): pass x = C y: Type[C] = C reveal_type(type(C).m) # N: Revealed type is "def (cls: __main__.M, x: builtins.int) -> builtins.int" reveal_type(type(x).m) # N: Revealed type is "def (cls: __main__.M, x: builtins.int) -> builtins.int" reveal_type(type(y).m) # N: Revealed type is "def (cls: __main__.M, x: builtins.int) -> builtins.int" [out] [case testMetaclassMemberAccessViaType2] from typing import Any, Type class M(type): def m(cls, x: int) -> int: pass B: Any class C(B, metaclass=M): pass x: Type[C] reveal_type(x.m) # N: Revealed type is "def (x: builtins.int) -> builtins.int" reveal_type(x.whatever) # N: Revealed type is "Any" [out] [case testMetaclassMemberAccessViaType3] from typing import Any, Type, TypeVar T = TypeVar('T') class C(Any): def bar(self: T) -> Type[T]: pass def foo(self) -> None: reveal_type(self.bar()) # N: Revealed type is "type[__main__.C]" reveal_type(self.bar().__name__) # N: Revealed type is "builtins.str" [builtins fixtures/type.pyi] [out] [case testClassDecoratorIsTypeChecked] from typing import Callable, Type def decorate(x: int) -> Callable[[type], type]: # N: "decorate" defined here ... def decorate_forward_ref() -> Callable[[Type[A]], Type[A]]: ... @decorate(y=17) # E: Unexpected keyword argument "y" for "decorate" @decorate() # E: Missing positional argument "x" in call to "decorate" @decorate(22, 25) # E: Too many arguments for "decorate" @decorate_forward_ref() @decorate(11) class A: pass @decorate # E: Argument 1 to "decorate" has incompatible type "type[A2]"; expected "int" class A2: pass [case testClassDecoratorIncorrect] def not_a_class_decorator(x: int) -> int: ... @not_a_class_decorator(7) class A3: pass # E: "int" not callable not_a_function = 17 @not_a_function() # E: "int" not callable class B: pass @not_a_function class B2: pass # E: "int" not callable b = object() @b.nothing # E: "object" has no attribute "nothing" class C: pass @undefined # E: Name "undefined" is not defined class D: pass [case testSlotsCompatibility] class A: __slots__ = () class B(A): __slots__ = ('a', 'b') class C: __slots__ = ('x',) class D(B, C): # E: Class "D" has incompatible disjoint bases __slots__ = ('aa', 'bb', 'cc') [builtins fixtures/tuple.pyi] [case testRevealLocalsOnClassVars] class C1(object): t = 'a' y = 3.0 class Inner(object): pass reveal_locals() [out] main:5: note: Revealed local types are: main:5: note: t: builtins.str main:5: note: y: builtins.float [case testAbstractClasses] import a import b [file a.pyi] from abc import ABCMeta, abstractmethod from typing import Protocol class A: # OK, has @abstractmethod @abstractmethod def f(self) -> None: pass class B(A): # E: Class a.B has abstract attributes "f" # N: If it is meant to be abstract, add 'abc.ABCMeta' as an explicit metaclass pass class C(A, metaclass=ABCMeta): # OK, has ABCMeta as a metaclass pass class D(A): # OK, implements the abstract method def f(self) -> None: pass class E(Protocol): # OK, is a protocol @abstractmethod def f(self) -> None: pass class F(E, Protocol): # OK, is a protocol pass # Custom metaclass subclassing `ABCMeta`, see #13561 class CustomMeta(ABCMeta): pass class G(A, metaclass=CustomMeta): # Ok, has CustomMeta as a metaclass pass [file b.py] # All of these are OK because this is not a stub file. from abc import ABCMeta, abstractmethod from typing import Protocol class A: @abstractmethod def f(self) -> None: pass class B(A): pass class C(A, metaclass=ABCMeta): pass class D(A): def f(self) -> None: pass class E(Protocol): @abstractmethod def f(self) -> None: pass class F(E, Protocol): pass class CustomMeta(ABCMeta): pass class G(A, metaclass=CustomMeta): pass [case testClassMethodOverride] from typing import Callable, Any def deco(f: Callable[..., Any]) -> Callable[..., Any]: ... class B: @classmethod def meth(cls, x: int) -> int: ... class C(B): @classmethod @deco def meth(cls, x: int) -> int: ... [builtins fixtures/classmethod.pyi] [out] [case testGetAttrImportAnnotation] import a x: a.A y: a.A.B.C reveal_type(x) # N: Revealed type is "Any" reveal_type(y) # N: Revealed type is "Any" [file a.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [case testGetAttrImportBaseClass] import a class B(a.A): ... [file a.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [case testGetAttrDescriptor] from typing import TypeVar, Generic, Any T = TypeVar('T') class C(Generic[T]): normal: T def __getattr__(self, attr: str) -> T: ... class Descr: def __get__(self, inst: Any, owner: Any) -> int: ... class D(C[Descr]): other: Descr d: D reveal_type(d.normal) # N: Revealed type is "builtins.int" reveal_type(d.dynamic) # N: Revealed type is "__main__.Descr" reveal_type(D.other) # N: Revealed type is "builtins.int" D.dynamic # E: "type[D]" has no attribute "dynamic" [out] [case testSelfDescriptorAssign] from typing import Any class Descr: def __get__(self, inst: Any, owner: Any) -> int: ... class C: def __init__(self, x: Descr) -> None: self.x = x c = C(Descr()) reveal_type(c.x) # N: Revealed type is "__main__.Descr" [out] [case testForwardInstanceWithWrongArgCount] from typing import TypeVar, Generic T = TypeVar('T') class G(Generic[T]): ... A = G x: A[B[int, int]] # E: "G" expects 1 type argument, but 2 given B = G [out] [case testForwardInstanceWithNoArgs] from typing import TypeVar, Generic T = TypeVar('T') class G(Generic[T]): ... A = G x: A[B] reveal_type(x) # N: Revealed type is "__main__.G[__main__.G[Any]]" B = G [out] [case testForwardInstanceWithBound] # flags: --show-column-numbers from typing import TypeVar, Generic T = TypeVar('T', bound=str) class G(Generic[T]): ... A = G x: A[B[int]] # E B = G [out] main:8:6: error: Type argument "G[int]" of "G" must be a subtype of "str" main:8:8: error: Type argument "int" of "G" must be a subtype of "str" [case testExtremeForwardReferencing] from typing import TypeVar, Generic T = TypeVar('T', covariant=True) class B(Generic[T]): ... y: A z: A[int] x = [y, z] reveal_type(x) # N: Revealed type is "builtins.list[__main__.B[Any]]" A = B [builtins fixtures/list.pyi] [out] [case testNoneAnyFallback] from typing import Any dynamic: Any class C(dynamic): pass x: None = C() # E: Incompatible types in assignment (expression has type "C", variable has type "None") [out] [case testNoneAnyFallbackDescriptor] from typing import Any from d import Descr dynamic: Any class C(dynamic): id = Descr(int) name = Descr(str) c: C reveal_type(c.id) # N: Revealed type is "builtins.int" reveal_type(C.name) # N: Revealed type is "d.Descr[builtins.str]" [file d.pyi] from typing import Any, overload, Generic, TypeVar, Type T = TypeVar('T') class Descr(Generic[T]): def __init__(self, tp: Type[T]) -> None: ... @overload def __get__(self, inst: None, owner: Any) -> Descr[T]: ... @overload def __get__(self, inst: object, owner: Any) -> T: ... [out] [case testClassCustomPropertyWorks] from typing import TypeVar, Generic, Callable, Any V = TypeVar('V') class classproperty(Generic[V]): def __init__(self, getter: Callable[[Any], V]) -> None: self.getter = getter def __get__(self, instance: Any, owner: Any) -> V: return self.getter(owner) class C: @classproperty def foo(cls) -> int: return 42 reveal_type(C.foo) # N: Revealed type is "builtins.int" reveal_type(C().foo) # N: Revealed type is "builtins.int" [out] [case testMultipleInheritanceCycle] import b [file a.py] from b import B class A: ... class C(A, B): ... class D(C): ... class Other: ... [file b.py] from a import Other class B: ... [out] [case testMultipleInheritanceCycle2] import b [file a.py] from b import B class A: ... class C(A, B): ... class D(C): ... class Other: ... a: A b: B c: C d: D d = A() # E: Incompatible types in assignment (expression has type "A", variable has type "D") if int(): d = B() # E: Incompatible types in assignment (expression has type "B", variable has type "D") if int(): d = C() # E: Incompatible types in assignment (expression has type "C", variable has type "D") a = D() b = D() c = D() [file b.py] from a import Other class B: ... [out] [case testAllowPropertyAndInit1] class C: def __init__(self, x: int) -> None: self.x = x @property def x(self) -> int: pass @x.setter def x(self, x: int) -> None: pass [builtins fixtures/property.pyi] [out] [case testAllowPropertyAndInit2] class C: @property def x(self) -> int: pass @x.setter def x(self, x: int) -> None: pass def __init__(self, x: int) -> None: self.x = x [builtins fixtures/property.pyi] [case testAllowPropertyAndInit3] class C: def __init__(self, x: int) -> None: self.x = x # type: ignore @property # Should be no error here def x(self) -> int: pass [builtins fixtures/property.pyi] [out] [case testClassMethodBeforeInit1] class Foo: @classmethod def bar(cls) -> Foo: return cls("bar") def __init__(self, baz: str) -> None: self.baz = baz [builtins fixtures/classmethod.pyi] [case testClassMethodBeforeInit2] class Foo: @classmethod def bar(cls) -> Foo: return cls(Bar()) def __init__(self, baz: 'Bar') -> None: self.baz = baz class Bar: pass [builtins fixtures/classmethod.pyi] [case testClassMethodBeforeInit3] from typing import overload class Foo: @classmethod @overload def bar(cls, x: int) -> Foo: ... @classmethod @overload def bar(cls, x: str) -> Foo: ... @classmethod def bar(cls, x: object) -> Foo: return cls(x) def __init__(self, baz: object) -> None: self.baz = baz [builtins fixtures/classmethod.pyi] [case testNewAndInit1] class A: def __init__(self, x: int) -> None: pass class B(A): def __new__(cls) -> B: pass B() [case testNewAndInit2] from typing import Any class A: def __new__(cls, *args: Any) -> 'A': ... class B(A): def __init__(self, x: int) -> None: pass reveal_type(B) # N: Revealed type is "def (x: builtins.int) -> __main__.B" [builtins fixtures/tuple.pyi] [case testNewAndInit3] from typing import Any class A: def __new__(cls, *args: Any) -> 'A': ... def __init__(self, x: int) -> None: pass reveal_type(A) # N: Revealed type is "def (x: builtins.int) -> __main__.A" [builtins fixtures/tuple.pyi] [case testCyclicDecorator] import b [file a.py] import b import c class A(b.B): @c.deco def meth(self) -> int: ... [file b.py] import a import c class B: @c.deco def meth(self) -> int: ... [file c.py] from typing import TypeVar, Tuple, Callable T = TypeVar('T') def deco(f: Callable[..., T]) -> Callable[..., Tuple[T, int]]: ... [builtins fixtures/tuple.pyi] [out] [case testCyclicOverload] import b [file a.pyi] import b from typing import overload class A(b.B): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... [file b.pyi] import a from typing import overload class B: @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... [out] [case testCyclicOverloadDeferred] import b [file a.py] import b from typing import overload, Union class A(b.B): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... def meth(self, x) -> Union[int, str]: reveal_type(other.x) # N: Revealed type is "builtins.int" return 0 other: Other class Other: def __init__(self) -> None: self.x = f() def f() -> int: ... [file b.py] import a from typing import overload class B: @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... def meth(self, x): pass [out] [case testCyclicOverrideAny] import a [file b.py] import a class Sub(a.Base): def x(self) -> int: pass [file a.py] import b class Base: def __init__(self): self.x = 1 [out] [case testCyclicOverrideChecked] import a [file b.py] import a class Sub(a.Base): def x(self) -> int: pass # E: Signature of "x" incompatible with supertype "Base" \ # N: Superclass: \ # N: int \ # N: Subclass: \ # N: def x(self) -> int [file a.py] import b class Base: def __init__(self) -> None: self.x = 1 [out] [case testCyclicOverrideCheckedDecorator] import a [file b.py] import a import c class Sub(a.Base): @c.deco def x(self) -> int: pass # E: Signature of "x" incompatible with supertype "Base" \ # N: Superclass: \ # N: int \ # N: Subclass: \ # N: def x(*Any, **Any) -> tuple[int, int] [file a.py] import b import c class Base: def __init__(self) -> None: self.x = 1 [file c.py] from typing import TypeVar, Tuple, Callable T = TypeVar('T') def deco(f: Callable[..., T]) -> Callable[..., Tuple[T, int]]: ... [builtins fixtures/tuple.pyi] [out] [case testCyclicOverrideCheckedDecoratorDeferred] import a [file b.py] import a import c class Sub(a.Base): @c.deco def x(self) -> int: pass # E: Signature of "x" incompatible with supertype "Base" \ # N: Superclass: \ # N: int \ # N: Subclass: \ # N: def x(*Any, **Any) -> tuple[int, int] [file a.py] import b import c class Base: def __init__(self) -> None: self.x = f() def f() -> int: ... [file c.py] from typing import TypeVar, Tuple, Callable T = TypeVar('T') def deco(f: Callable[..., T]) -> Callable[..., Tuple[T, int]]: ... [builtins fixtures/tuple.pyi] [out] [case testCyclicOverrideAnyDecoratorDeferred] import a [file b.py] import a import c class Sub(a.Base): @c.deco def x(self) -> int: pass [file a.py] from b import Sub import c class Base: def __init__(self) -> None: self.x = f() def f() -> int: ... [file c.py] from typing import Any, Callable def deco(f: Callable[..., Any]) -> Any: ... [out] [case testCyclicDecoratorDoubleDeferred] import b [file a.py] import b import c class A(b.B): @c.deco def meth(self) -> int: reveal_type(other.x) # N: Revealed type is "builtins.int" return 0 other: Other class Other: def __init__(self) -> None: self.x = f() def f() -> int: ... [file b.py] from a import A import c class B: @c.deco def meth(self) -> int: pass [file c.py] from typing import TypeVar, Tuple, Callable T = TypeVar('T') def deco(f: Callable[..., T]) -> Callable[..., Tuple[T, int]]: ... [builtins fixtures/tuple.pyi] [out] [case testCyclicDecoratorSuper] import b [file a.py] import b import c class A(b.B): @c.deco def meth(self) -> int: y = super().meth() reveal_type(y) # N: Revealed type is "tuple[builtins.int, builtins.int]" return 0 [file b.py] from a import A import c class B: @c.deco def meth(self) -> int: pass [file c.py] from typing import TypeVar, Tuple, Callable T = TypeVar('T') def deco(f: Callable[..., T]) -> Callable[..., Tuple[T, int]]: ... [builtins fixtures/tuple.pyi] [out] [case testCyclicDecoratorBothDeferred] import b [file a.py] import b import c class A(b.B): @c.deco def meth(self) -> int: pass [file b.py] from a import A import c class B: @c.deco def meth(self) -> int: reveal_type(other.x) # N: Revealed type is "builtins.int" return 0 other: Other class Other: def __init__(self) -> None: self.x = f() def f() -> int: ... [file c.py] from typing import TypeVar, Tuple, Callable T = TypeVar('T') def deco(f: Callable[..., T]) -> Callable[..., Tuple[T, int]]: ... [builtins fixtures/tuple.pyi] [out] [case testCyclicDecoratorSuperDeferred] import b [file a.py] import b import c class A(b.B): @c.deco def meth(self) -> int: y = super().meth() reveal_type(y) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(other.x) # N: Revealed type is "builtins.int" return 0 other: Other class Other: def __init__(self) -> None: self.x = f() def f() -> int: ... [file b.py] from a import A import c class B: @c.deco def meth(self) -> int: pass [file c.py] from typing import TypeVar, Tuple, Callable T = TypeVar('T') def deco(f: Callable[..., T]) -> Callable[..., Tuple[T, int]]: ... [builtins fixtures/tuple.pyi] [case testOverrideWithUntypedNotChecked] class Parent: def foo(self, x): ... def bar(self, x): ... def baz(self, x: int) -> str: return "" class Child(Parent): def foo(self, y): # OK: names not checked ... def bar(self, x, y): ... def baz(self, x, y): return "" [builtins fixtures/tuple.pyi] [case testOverrideWithUntypedCheckedWithCheckUntypedDefs] # flags: --check-untyped-defs class Parent: def foo(self, x): ... def bar(self, x): ... def baz(self, x: int) -> str: return "" class Child(Parent): def foo(self, y): # OK: names not checked ... def bar(self, x, y) -> None: # E: Signature of "bar" incompatible with supertype "Parent" \ # N: Superclass: \ # N: def bar(self, x: Any) -> Any \ # N: Subclass: \ # N: def bar(self, x: Any, y: Any) -> None ... def baz(self, x, y): # E: Signature of "baz" incompatible with supertype "Parent" \ # N: Superclass: \ # N: def baz(self, x: int) -> str \ # N: Subclass: \ # N: def baz(self, x: Any, y: Any) -> Any return "" [builtins fixtures/tuple.pyi] [case testOptionalDescriptorsBinder] from typing import Type, TypeVar, Optional T = TypeVar('T') class IntDescr: def __get__(self, obj: T, typ: Type[T]) -> Optional[int]: ... def __set__(self, obj: T, value: Optional[int]) -> None: ... class C: spec = IntDescr() def meth_spec(self) -> None: if self.spec is None: self.spec = 0 reveal_type(self.spec) # N: Revealed type is "builtins.int" [builtins fixtures/bool.pyi] [case testUnionDescriptorsBinder] from typing import Type, TypeVar, Union T = TypeVar('T') class A: ... class B: ... class UnionDescr: def __get__(self, obj: T, typ: Type[T]) -> Union[A, B]: ... def __set__(self, obj: T, value: Union[A, B]) -> None: ... class C: spec = UnionDescr() def meth_spec(self) -> None: self.spec = A() reveal_type(self.spec) # N: Revealed type is "__main__.A" [builtins fixtures/bool.pyi] [case testSubclassDescriptorsBinder] from typing import Type, TypeVar, Optional T = TypeVar('T') class A: ... class B(A): ... class SubDescr: def __get__(self, obj: T, typ: Type[T]) -> A: ... def __set__(self, obj: T, value: A) -> None: ... class C: spec = SubDescr() def meth_spec(self) -> None: self.spec = B() reveal_type(self.spec) # N: Revealed type is "__main__.B" [builtins fixtures/bool.pyi] [case testDecoratedDunderGet] from typing import Any, Callable, TypeVar, Type F = TypeVar('F', bound=Callable) T = TypeVar('T') def decorator(f: F) -> F: return f def change(f: Callable) -> Callable[..., int]: pass def untyped(f): return f class A: ... class Descr1: @decorator def __get__(self, obj: T, typ: Type[T]) -> A: ... class Descr2: @change def __get__(self, obj: T, typ: Type[T]) -> A: ... class Descr3: @untyped def __get__(self, obj: T, typ: Type[T]) -> A: ... class C: spec1 = Descr1() spec2 = Descr2() spec3 = Descr3() c: C reveal_type(c.spec1) # N: Revealed type is "__main__.A" reveal_type(c.spec2) # N: Revealed type is "builtins.int" reveal_type(c.spec3) # N: Revealed type is "Any" [builtins fixtures/bool.pyi] [case testDecoratedDunderSet] from typing import Any, Callable, TypeVar, Type F = TypeVar('F', bound=Callable) T = TypeVar('T') def decorator(f: F) -> F: return f def change(f: Callable) -> Callable[[Any, Any, int], None]: pass def untyped(f): return f class A: ... class Descr1: @decorator def __set__(self, obj: T, value: A) -> None: ... class Descr2: @change def __set__(self, obj: T, value: A) -> None: ... class Descr3: @untyped def __set__(self, obj: T, value: A) -> None: ... class C: spec1 = Descr1() spec2 = Descr2() spec3 = Descr3() c: C c.spec1 = A() c.spec1 = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "A") c.spec2 = A() # E: Incompatible types in assignment (expression has type "A", variable has type "int") c.spec2 = 1 c.spec3 = A() c.spec3 = 1 [builtins fixtures/bool.pyi] [case testClassLevelImport] # flags: --ignore-missing-imports class Test: import a def __init__(self) -> None: some_module = self.a [out] [case testIsInstanceTypeVsMetaclass] from typing import Type class Meta(type): pass class Thing(metaclass=Meta): pass def foo(x: Type[Thing]) -> Type[Thing]: assert isinstance(x, Meta) return x [builtins fixtures/isinstancelist.pyi] [case testIsInstanceTypeVsUnionOfType] from typing import Type, Union class AA: pass class AB: pass class M: pass class A(M, AA): pass class B(M, AB): pass AOrB = Union[A, B] class T(object): def __init__(self, typ: Type[AOrB] = A) -> None: assert isinstance(typ, type(M)) self.typ: Type[AOrB] = typ [builtins fixtures/isinstancelist.pyi] [case testIsInstanceTypeIsSubclass] from typing import Union, Type class C: ... x: Union[C, Type[C]] if isinstance(x, type) and issubclass(x, C): reveal_type(x) # N: Revealed type is "type[__main__.C]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceTypeByAssert] class A: x = 42 i: type = A assert issubclass(i, A) reveal_type(i.x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceTypeTypeVar] from typing import Type, TypeVar, Generic, ClassVar class Base: ... class Sub(Base): other: ClassVar[int] T = TypeVar('T', bound=Base) class C(Generic[T]): def meth(self, cls: Type[T]) -> None: if not issubclass(cls, Sub): return reveal_type(cls) # N: Revealed type is "type[T`1]" reveal_type(cls.other) # N: Revealed type is "builtins.int" [builtins fixtures/isinstance.pyi] [case testIsInstanceTypeSubclass] from typing import Type, Optional class Base: ... class One(Base): x: int class Other(Base): x: int def test() -> None: x: Optional[Type[Base]] if int(): x = One elif int(): x = Other else: return reveal_type(x) # N: Revealed type is "Union[def () -> __main__.One, def () -> __main__.Other]" reveal_type(x.x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [case testMemberRedefinition] class C: def __init__(self) -> None: self.foo = 12 self.foo: int = 12 # E: Attribute "foo" already defined on line 3 [case testMemberRedefinitionDefinedInClass] class C: foo = 12 def __init__(self) -> None: self.foo: int = 12 # E: Attribute "foo" already defined on line 2 [case testAbstractInit] from abc import abstractmethod, ABCMeta class A(metaclass=ABCMeta): @abstractmethod def __init__(self, a: int) -> None: pass class B(A): pass class C(B): def __init__(self, a: int) -> None: self.c = a a = A(1) # E: Cannot instantiate abstract class "A" with abstract attribute "__init__" A.c # E: "type[A]" has no attribute "c" b = B(2) # E: Cannot instantiate abstract class "B" with abstract attribute "__init__" B.c # E: "type[B]" has no attribute "c" c = C(3) c.c C.c [case testDecoratedConstructors] from typing import TypeVar, Callable, Any F = TypeVar('F', bound=Callable[..., Any]) def dec(f: F) -> F: ... class A: @dec def __init__(self, x: int) -> None: ... class B: @dec def __new__(cls, x: int) -> B: ... reveal_type(A) # N: Revealed type is "def (x: builtins.int) -> __main__.A" reveal_type(B) # N: Revealed type is "def (x: builtins.int) -> __main__.B" [case testDecoratedConstructorsBad] from typing import Callable, Any def dec(f: Callable[[Any, int], Any]) -> int: ... class A: @dec # E: Unsupported decorated constructor type def __init__(self, x: int) -> None: ... class B: @dec # E: Unsupported decorated constructor type def __new__(cls, x: int) -> B: ... [case testIgnorePrivateAttributesTypeCheck] class B: __foo_: int class C(B): __foo_: str [out] [case testIgnorePrivateMethodsTypeCheck] class B: def __foo_(self) -> int: ... class C(B): def __foo_(self) -> str: ... [out] [case testCheckForPrivateMethodsWhenPublicCheck] class B: __foo__: int class C(B): __foo__: str [out] main:4: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testIgnorePrivateMethodsTypeCheck2] class A: def __foo_(self) -> int: ... class B: def __foo_(self) -> str: ... class C(A, B): pass [out] [case testAttributeDefOrder1] import a [file a.py] from b import C class D(C): def g(self) -> None: self.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") def f(self) -> None: reveal_type(self.x) # N: Revealed type is "builtins.int" [file b.py] import a class C: def __init__(self) -> None: self.x = 0 [targets b, a, b.C.__init__, a.D.g, a.D.f, __main__] [case testAttributeDefOrder2] class D(C): def g(self) -> None: self.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") def f(self) -> None: reveal_type(self.x) # N: Revealed type is "builtins.int" class C: def __init__(self) -> None: self.x = 0 class E(C): def g(self) -> None: self.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") def f(self) -> None: reveal_type(self.x) # N: Revealed type is "builtins.int" [targets __main__, __main__, __main__.C.__init__, __main__.D.g, __main__.D.f, __main__.E.g, __main__.E.f] [case testNewReturnType1] class A: def __new__(cls) -> B: pass class B(A): pass reveal_type(A()) # N: Revealed type is "__main__.B" reveal_type(B()) # N: Revealed type is "__main__.B" [case testNewReturnType2] from typing import Any # make sure that __new__ method that return Any are ignored when # determining the return type class A: def __new__(cls): pass class B: def __new__(cls) -> Any: pass reveal_type(A()) # N: Revealed type is "__main__.A" reveal_type(B()) # N: Revealed type is "__main__.B" [case testNewReturnType3] # Check for invalid __new__ typing class A: def __new__(cls) -> int: # E: Incompatible return type for "__new__" (returns "int", but must return a subtype of "A") pass reveal_type(A()) # N: Revealed type is "__main__.A" [case testNewReturnType4] from typing import TypeVar, Type # Check for __new__ using type vars TX = TypeVar('TX', bound='X') class X: def __new__(lol: Type[TX], x: int) -> TX: pass class Y(X): pass reveal_type(X(20)) # N: Revealed type is "__main__.X" reveal_type(Y(20)) # N: Revealed type is "__main__.Y" [case testNewReturnType5] from typing import Any, TypeVar, Generic, overload T = TypeVar('T') class O(Generic[T]): @overload def __new__(cls) -> O[int]: pass @overload def __new__(cls, x: int) -> O[str]: pass def __new__(cls, x: int = 0) -> O[Any]: pass reveal_type(O()) # N: Revealed type is "__main__.O[builtins.int]" reveal_type(O(10)) # N: Revealed type is "__main__.O[builtins.str]" [case testNewReturnType6] from typing import Tuple, Optional # Check for some cases that aren't allowed class X: def __new__(cls) -> Optional[Y]: # E: "__new__" must return a class instance (got "Optional[Y]") pass class Y: def __new__(cls) -> Optional[int]: # E: "__new__" must return a class instance (got "Optional[int]") pass [case testNewReturnType7] from typing import NamedTuple # ... test __new__ returning tuple type class A: def __new__(cls) -> 'B': pass N = NamedTuple('N', [('x', int)]) class B(A, N): pass reveal_type(A()) # N: Revealed type is "tuple[builtins.int, fallback=__main__.B]" [builtins fixtures/tuple.pyi] [case testNewReturnType8] from typing import TypeVar, Any # test type var from a different argument TX = TypeVar('TX', bound='X') class X: def __new__(cls, x: TX) -> TX: # E: "__new__" must return a class instance (got "TX") pass [case testNewReturnType9] class A: def __new__(cls) -> A: pass class B(A): pass reveal_type(B()) # N: Revealed type is "__main__.B" [case testNewReturnType10] # https://github.com/python/mypy/issues/11398 from typing import Type class MyMetaClass(type): def __new__(cls, name, bases, attrs) -> Type['MyClass']: pass class MyClass(metaclass=MyMetaClass): pass [case testNewReturnType11] # https://github.com/python/mypy/issues/11398 class MyMetaClass(type): def __new__(cls, name, bases, attrs) -> type: pass class MyClass(metaclass=MyMetaClass): pass [case testNewReturnType12] # https://github.com/python/mypy/issues/11398 from typing import Type class MyMetaClass(type): def __new__(cls, name, bases, attrs) -> int: # E: Incompatible return type for "__new__" (returns "int", but must return a subtype of "type") pass class MyClass(metaclass=MyMetaClass): pass [case testMetaclassPlaceholderNode] from sympy.assumptions import ManagedProperties from sympy.ops import AssocOp reveal_type(AssocOp.x) # N: Revealed type is "sympy.basic.Basic" reveal_type(AssocOp.y) # N: Revealed type is "builtins.int" [file sympy/__init__.py] [file sympy/assumptions.py] from .basic import Basic class ManagedProperties(type): x: Basic y: int # The problem is with the next line, # it creates the following order (classname, metaclass): # 1. Basic NameExpr(ManagedProperties) # 2. AssocOp None # 3. ManagedProperties None # 4. Basic NameExpr(ManagedProperties [sympy.assumptions.ManagedProperties]) # So, `AssocOp` will still have `metaclass_type` as `None` # and all its `mro` types will have `declared_metaclass` as `None`. from sympy.ops import AssocOp [file sympy/basic.py] from .assumptions import ManagedProperties class Basic(metaclass=ManagedProperties): ... [file sympy/ops.py] from sympy.basic import Basic class AssocOp(Basic): ... [case testMetaclassSubclassSelf] # This does not make much sense, but we must not crash: import a [file m.py] from a import A # E: Module "a" has no attribute "A" class Meta(A): pass [file a.py] from m import Meta class A(metaclass=Meta): pass [case testMetaclassConflict] class MyMeta1(type): ... class MyMeta2(type): ... class MyMeta3(type): ... class A(metaclass=MyMeta1): ... class B(metaclass=MyMeta2): ... class C(metaclass=type): ... class A1(A): ... class E: ... class CorrectMeta(MyMeta1, MyMeta2): ... class CorrectSubclass1(A1, B, E, metaclass=CorrectMeta): ... class CorrectSubclass2(A, B, E, metaclass=CorrectMeta): ... class CorrectSubclass3(B, A, metaclass=CorrectMeta): ... class ChildOfCorrectSubclass1(CorrectSubclass1): ... class CorrectWithType1(C, A1): ... class CorrectWithType2(B, C): ... class Conflict1(A1, B, E): ... # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.MyMeta1" (metaclass of "__main__.A") conflicts with "__main__.MyMeta2" (metaclass of "__main__.B") class Conflict2(A, B): ... # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.MyMeta1" (metaclass of "__main__.A") conflicts with "__main__.MyMeta2" (metaclass of "__main__.B") class Conflict3(B, A): ... # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.MyMeta2" (metaclass of "__main__.B") conflicts with "__main__.MyMeta1" (metaclass of "__main__.A") class ChildOfConflict1(Conflict3): ... class ChildOfConflict2(Conflict3, metaclass=CorrectMeta): ... class ConflictingMeta(MyMeta1, MyMeta3): ... class Conflict4(A1, B, E, metaclass=ConflictingMeta): ... # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.ConflictingMeta" (metaclass of "__main__.Conflict4") conflicts with "__main__.MyMeta2" (metaclass of "__main__.B") class ChildOfCorrectButWrongMeta(CorrectSubclass1, metaclass=ConflictingMeta): # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.ConflictingMeta" (metaclass of "__main__.ChildOfCorrectButWrongMeta") conflicts with "__main__.CorrectMeta" (metaclass of "__main__.CorrectSubclass1") ... [case testMetaClassConflictIssue14033] class M1(type): pass class M2(type): pass class Mx(M1, M2): pass class A1(metaclass=M1): pass class A2(A1): pass class B1(metaclass=M2): pass class C1(metaclass=Mx): pass class TestABC(A2, B1, C1): pass # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.M1" (metaclass of "__main__.A1") conflicts with "__main__.M2" (metaclass of "__main__.B1") class TestBAC(B1, A2, C1): pass # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases \ # N: "__main__.M2" (metaclass of "__main__.B1") conflicts with "__main__.M1" (metaclass of "__main__.A1") # should not warn again for children class ChildOfTestABC(TestABC): pass # no metaclass is assumed if super class has a metaclass conflict class ChildOfTestABCMetaMx(TestABC, metaclass=Mx): pass class ChildOfTestABCMetaM1(TestABC, metaclass=M1): pass class TestABCMx(A2, B1, C1, metaclass=Mx): pass class TestBACMx(B1, A2, C1, metaclass=Mx): pass class TestACB(A2, C1, B1): pass class TestBCA(B1, C1, A2): pass class TestCAB(C1, A2, B1): pass class TestCBA(C1, B1, A2): pass [case testGenericOverride] from typing import Generic, TypeVar, Any T = TypeVar('T') class B(Generic[T]): x: T class C(B): def __init__(self) -> None: self.x: Any [case testGenericOverridePreciseInvalid] from typing import Generic, TypeVar, Any T = TypeVar('T') class B(Generic[T]): x: T class C(B[str]): def __init__(self) -> None: self.x: int # E: Incompatible types in assignment (expression has type "int", base class "B" defined the type as "str") [case testGenericOverridePreciseValid] from typing import Generic, TypeVar T = TypeVar('T') class B(Generic[T]): x: T class C(B[float]): def __init__(self) -> None: self.x: int # We currently allow covariant overriding. [case testGenericOverrideGeneric] from typing import Generic, TypeVar, List T = TypeVar('T') class B(Generic[T]): x: T class C(B[T]): def __init__(self) -> None: self.x: List[T] # E: Incompatible types in assignment (expression has type "list[T]", base class "B" defined the type as "T") [builtins fixtures/list.pyi] [case testGenericOverrideGenericChained] from typing import Generic, TypeVar, Tuple T = TypeVar('T') S = TypeVar('S') class A(Generic[T]): x: T class B(A[Tuple[T, S]]): ... class C(B[int, T]): def __init__(self) -> None: # TODO: error message could be better. self.x: Tuple[str, T] # E: Incompatible types in assignment (expression has type "tuple[str, T]", base class "A" defined the type as "tuple[int, T]") [builtins fixtures/tuple.pyi] [case testInitSubclassWrongType] class Base: default_name: str def __init_subclass__(cls, default_name: str): super().__init_subclass__() cls.default_name = default_name return class Child(Base, default_name=5): # E: Argument "default_name" to "__init_subclass__" of "Base" has incompatible type "int"; expected "str" pass [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassTooFewArgs] class Base: default_name: str def __init_subclass__(cls, default_name: str, **kwargs): super().__init_subclass__() cls.default_name = default_name return class Child(Base): # E: Missing positional argument "default_name" in call to "__init_subclass__" of "Base" pass [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassTooFewArgs2] class Base: default_name: str def __init_subclass__(cls, default_name: str, thing: int): super().__init_subclass__() cls.default_name = default_name return # TODO implement this, so that no error is raised? d = {"default_name": "abc", "thing": 0} class Child(Base, **d): # E: Missing positional arguments "default_name", "thing" in call to "__init_subclass__" of "Base" pass [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassOK] class Base: default_name: str thing: int def __init_subclass__(cls, default_name: str, thing:int, **kwargs): super().__init_subclass__() cls.default_name = default_name return class Child(Base, thing=5, default_name=""): pass [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassWithMetaclassOK] class Base: thing: int def __init_subclass__(cls, thing: int): cls.thing = thing class Child(Base, metaclass=type, thing=0): pass [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassWithCustomMetaclassOK] class M(type): ... class Child(metaclass=M, thing=0): pass [builtins fixtures/object_with_init_subclass.pyi] [case testTooManyArgsForObject] class A(thing=5): pass [out] main:1: error: Unexpected keyword argument "thing" for "__init_subclass__" of "object" tmp/builtins.pyi:5: note: "__init_subclass__" of "object" defined here [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassWithImports] from init_subclass.a import Base class Child(Base, thing=5): # E: Missing positional argument "default_name" in call to "__init_subclass__" of "Base" pass [file init_subclass/a.py] class Base: default_name: str thing: int def __init_subclass__(cls, default_name: str, thing:int, **kwargs): pass [file init_subclass/__init__.py] [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassWithImportsOK] from init_subclass.a import MidBase class Main(MidBase, test=True): pass [file init_subclass/a.py] class Base: def __init_subclass__(cls, **kwargs) -> None: pass class MidBase(Base): pass [file init_subclass/__init__.py] [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassUnannotated] class A: def __init_subclass__(cls, *args, **kwargs): super().__init_subclass__(*args, **kwargs) class B(A): pass reveal_type(A.__init_subclass__) # N: Revealed type is "def (*args: Any, **kwargs: Any) -> Any" [builtins fixtures/object_with_init_subclass.pyi] [case testInitSubclassUnannotatedMulti] from typing import ClassVar, List, Type class A: registered_classes: ClassVar[List[Type[A]]] = [] def __init_subclass__(cls, *args, register=True, **kwargs): if register: cls.registered_classes.append(cls) super().__init_subclass__(*args, **kwargs) class B(A): ... class C(A, register=False): ... class D(C): ... [builtins fixtures/object_with_init_subclass.pyi] [case testClassMethodUnannotated] class C: def __new__(cls): ... @classmethod def meth(cls): ... reveal_type(C.meth) # N: Revealed type is "def () -> Any" reveal_type(C.__new__) # N: Revealed type is "def (cls: type[__main__.C]) -> Any" [builtins fixtures/classmethod.pyi] [case testOverrideGenericSelfClassMethod] from typing import Generic, TypeVar, Type, List T = TypeVar('T', bound='A') class A: @classmethod def meth(cls: Type[T]) -> List[T]: ... class B(A): @classmethod def meth(cls: Type[T]) -> List[T]: ... [builtins fixtures/isinstancelist.pyi] [case testCheckUntypedDefsSelf1] # flags: --check-untyped-defs from typing import Generic, TypeVar T = TypeVar('T') class Desc: def __get__(self, x, y): # type: (...) -> bool pass class Foo: y = Desc() def __init__(self): self.x = 0 def foo(self): reveal_type(self.x) # N: Revealed type is "builtins.int" reveal_type(self.y) # N: Revealed type is "builtins.bool" self.bar() self.baz() # E: "Foo" has no attribute "baz" @classmethod def bar(cls): cls.baz() # E: "type[Foo]" has no attribute "baz" class C(Generic[T]): x: T def meth(self): self.x + 1 # E: Unsupported left operand type for + ("T") [builtins fixtures/classmethod.pyi] [case testCheckUntypedDefsSelf2] # flags: --check-untyped-defs class Foo: def __init__(self): self.x = None self.y = [] reveal_type(Foo().x) # N: Revealed type is "Union[Any, None]" reveal_type(Foo().y) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testCheckUntypedDefsSelf3] # flags: --check-untyped-defs class Foo: def bad(): # E: Method must have at least one argument. Did you forget the "self" argument? self.x = 0 # E: Name "self" is not defined [case testMethodSelfArgumentChecks] from typing import Callable, ParamSpec, TypeVar T = TypeVar("T") P = ParamSpec("P") def to_number_1(fn: Callable[[], int]) -> int: return 0 def to_number_2(fn: Callable[[int], int]) -> int: return 0 def to_same_callable(fn: Callable[P, T]) -> Callable[P, T]: return fn class A: def undecorated() -> None: ... # E: Method must have at least one argument. Did you forget the "self" argument? def undecorated_not_self(x: int) -> None: ... # E: Self argument missing for a non-static method (or an invalid type for self) def undecorated_not_self_2(self: int) -> None: ... # E: The erased type of self "builtins.int" is not a supertype of its class "__main__.A" @to_number_1 def fn1() -> int: return 0 @to_number_1 # E: Argument 1 to "to_number_1" has incompatible type "Callable[[int], int]"; expected "Callable[[], int]" def fn2(_x: int) -> int: return 0 @to_number_2 # E: Argument 1 to "to_number_2" has incompatible type "Callable[[], int]"; expected "Callable[[int], int]" def fn3() -> int: return 0 @to_number_2 def fn4(_x: int) -> int: return 0 @to_number_2 # E: Argument 1 to "to_number_2" has incompatible type "Callable[[str], int]"; expected "Callable[[int], int]" def fn5(_x: str) -> int: return 0 @to_same_callable def g1() -> None: ... # E: Method must have at least one argument. Did you forget the "self" argument? @to_same_callable def g2(x: int) -> None: ... # E: Self argument missing for a non-static method (or an invalid type for self) @to_same_callable def g3(self: int) -> None: ... # E: The erased type of self "builtins.int" is not a supertype of its class "__main__.A" reveal_type(A().fn1) # N: Revealed type is "builtins.int" reveal_type(A().fn2) # N: Revealed type is "builtins.int" reveal_type(A().fn3) # N: Revealed type is "builtins.int" reveal_type(A().fn4) # N: Revealed type is "builtins.int" reveal_type(A().fn5) # N: Revealed type is "builtins.int" reveal_type(A().g1) # E: Attribute function "g1" with type "Callable[[], None]" does not accept self argument \ # N: Revealed type is "def ()" reveal_type(A().g2) # E: Invalid self argument "A" to attribute function "g2" with type "Callable[[int], None]" \ # N: Revealed type is "def ()" reveal_type(A().g3) # E: Invalid self argument "A" to attribute function "g3" with type "Callable[[int], None]" \ # N: Revealed type is "def ()" [builtins fixtures/tuple.pyi] [case testMethodSelfArgumentChecksConcatenate] from typing import Callable, ParamSpec, TypeVar from typing_extensions import Concatenate T = TypeVar("T") P = ParamSpec("P") R = TypeVar("R") def to_same_callable(fn: Callable[Concatenate[T, P], R]) -> Callable[Concatenate[T, P], R]: return fn def remove_first(fn: Callable[Concatenate[T, P], R]) -> Callable[P, R]: ... def add_correct_first(fn: Callable[P, R]) -> Callable[Concatenate["C", P], R]: ... def add_wrong_first(fn: Callable[P, R]) -> Callable[Concatenate[int, P], R]: ... class A: @to_same_callable # E: Argument 1 to "to_same_callable" has incompatible type "Callable[[], int]"; expected "Callable[[T], int]" def fn1() -> int: return 0 @to_same_callable def fn2(_x: int) -> int: # E: Self argument missing for a non-static method (or an invalid type for self) return 0 @to_same_callable def fn3(self, _x: int) -> int: return 0 reveal_type(A().fn1) # N: Revealed type is "def () -> builtins.int" reveal_type(A().fn2) # E: Invalid self argument "A" to attribute function "fn2" with type "Callable[[int], int]" \ # N: Revealed type is "def () -> builtins.int" reveal_type(A().fn3) # N: Revealed type is "def (_x: builtins.int) -> builtins.int" class B: @remove_first # E: Argument 1 to "remove_first" has incompatible type "Callable[[], int]"; expected "Callable[[T], int]" def fn1() -> int: # E: Method must have at least one argument. Did you forget the "self" argument? return 0 @remove_first def fn2(_x: int) -> int: # E: Method must have at least one argument. Did you forget the "self" argument? return 0 @remove_first def fn3(self, _x: int) -> int: # E: Self argument missing for a non-static method (or an invalid type for self) return 0 @remove_first def fn4(self, new_self: 'B') -> int: return 0 reveal_type(B().fn1) # E: Attribute function "fn1" with type "Callable[[], int]" does not accept self argument \ # N: Revealed type is "def () -> builtins.int" reveal_type(B().fn2) # E: Attribute function "fn2" with type "Callable[[], int]" does not accept self argument \ # N: Revealed type is "def () -> builtins.int" reveal_type(B().fn3) # E: Invalid self argument "B" to attribute function "fn3" with type "Callable[[int], int]" \ # N: Revealed type is "def () -> builtins.int" reveal_type(B().fn4) # N: Revealed type is "def () -> builtins.int" class C: @add_correct_first def fn1() -> int: return 0 @add_correct_first def fn2(_x: int) -> int: return 0 @add_correct_first def fn3(self, _x: int) -> int: return 0 reveal_type(C().fn1) # N: Revealed type is "def () -> builtins.int" reveal_type(C().fn2) # N: Revealed type is "def (_x: builtins.int) -> builtins.int" reveal_type(C().fn3) # N: Revealed type is "def (self: __main__.C, _x: builtins.int) -> builtins.int" class D: @add_wrong_first def fn1() -> int: # E: Self argument missing for a non-static method (or an invalid type for self) return 0 @add_wrong_first def fn2(_x: int) -> int: # E: Self argument missing for a non-static method (or an invalid type for self) return 0 @add_wrong_first def fn3(self, _x: int) -> int: # E: Self argument missing for a non-static method (or an invalid type for self) return 0 reveal_type(D().fn1) # E: Invalid self argument "D" to attribute function "fn1" with type "Callable[[int], int]" \ # N: Revealed type is "def () -> builtins.int" reveal_type(D().fn2) # E: Invalid self argument "D" to attribute function "fn2" with type "Callable[[int, int], int]" \ # N: Revealed type is "def (_x: builtins.int) -> builtins.int" reveal_type(D().fn3) # E: Invalid self argument "D" to attribute function "fn3" with type "Callable[[int, D, int], int]" \ # N: Revealed type is "def (self: __main__.D, _x: builtins.int) -> builtins.int" [builtins fixtures/tuple.pyi] [case testMethodSelfArgumentChecksInUntyped] from typing import Callable, ParamSpec, TypeVar T = TypeVar("T") P = ParamSpec("P") def to_same_callable(fn: Callable[P, T]) -> Callable[P, T]: return fn def unchecked(): class Bad: def fn() -> None: ... # E: Method must have at least one argument. Did you forget the "self" argument? def fn2(x: int) -> None: ... # E: Self argument missing for a non-static method (or an invalid type for self) # TODO: would be nice to make this error, but now we see the func # being decorated as Any, not as a callable @to_same_callable def gaaa() -> None: ... @to_same_callable def gaaa2(x: int) -> None: ... class Ok: def fn(): ... def fn2(x): ... @to_same_callable def g(): ... @to_same_callable def g2(x): ... def checked() -> None: class Bad: def fn() -> None: ... # E: Method must have at least one argument. Did you forget the "self" argument? def fn2(x: int) -> None: ... # E: Self argument missing for a non-static method (or an invalid type for self) @to_same_callable def g() -> None: ... # E: Method must have at least one argument. Did you forget the "self" argument? @to_same_callable def g2(x: int) -> None: ... # E: Self argument missing for a non-static method (or an invalid type for self) class AlsoBad: def fn(): ... # E: Method must have at least one argument. Did you forget the "self" argument? def fn2(x): ... @to_same_callable def g(): ... # E: Method must have at least one argument. Did you forget the "self" argument? @to_same_callable def g2(x): ... class Ok: def fn(): ... # E: Method must have at least one argument. Did you forget the "self" argument? def fn2(x): ... @to_same_callable def g(): ... # E: Method must have at least one argument. Did you forget the "self" argument? @to_same_callable def g2(x): ... [builtins fixtures/tuple.pyi] [case testTypeAfterAttributeAccessWithDisallowAnyExpr] # flags: --disallow-any-expr def access_before_declaration(self) -> None: obj = Foo('bar') obj.value x = 1 reveal_type(x) # N: Revealed type is "builtins.int" x = x + 1 class Foo: def __init__(self, value: str) -> None: self.value = value def access_after_declaration(self) -> None: obj = Foo('bar') obj.value x = 1 reveal_type(x) # N: Revealed type is "builtins.int" x = x + 1 [case testIsSubClassNarrowDownTypesOfTypeVariables] from typing import Type, TypeVar, Generic class Base: field: int = 42 TypeT = TypeVar("TypeT", bound=type) TypeT1 = TypeVar("TypeT1", bound=Type[Base]) class C1: def method(self, other: type) -> int: if issubclass(other, Base): reveal_type(other) # N: Revealed type is "type[__main__.Base]" return other.field return 0 class C2(Generic[TypeT]): def method(self, other: TypeT) -> int: if issubclass(other, Base): reveal_type(other) # N: Revealed type is "TypeT`1" return other.field return 0 class C3(Generic[TypeT1]): def method(self, other: TypeT1) -> int: if issubclass(other, Base): reveal_type(other) # N: Revealed type is "TypeT1`1" return other.field return 0 [builtins fixtures/isinstancelist.pyi] [case testPropertyWithExtraMethod] def dec(f): return f class A: @property def x(self): ... @x.setter def x(self, value) -> None: ... def x(self) -> None: ... # E: Unexpected definition for property "x" @property def y(self) -> int: ... @y.setter def y(self, value: int) -> None: ... @dec # E: Only supported top decorators are "@y.setter" and "@y.deleter" def y(self) -> None: ... reveal_type(A().y) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [case testEnclosingScopeLambdaNoCrash] class C: x = lambda x: x.y.g() [case testEnclosingScopeLambdaNoCrashExplicit] from typing import Callable class C: x: Callable[[C], int] = lambda x: x.y.g() # E: "C" has no attribute "y" [case testOpWithInheritedFromAny-xfail] from typing import Any C: Any class D(C): pass class D1(C): def __add__(self, rhs: float) -> D1: return self reveal_type(0.5 + C) # N: Revealed type is "Any" reveal_type(0.5 + D()) # N: Revealed type is "Any" reveal_type(D() + 0.5) # N: Revealed type is "Any" reveal_type("str" + D()) # N: Revealed type is "builtins.str" reveal_type(D() + "str") # N: Revealed type is "Any" reveal_type(0.5 + D1()) # N: Revealed type is "Any" reveal_type(D1() + 0.5) # N: Revealed type is "__main__.D1" [builtins fixtures/primitives.pyi] [case testRefMethodWithDecorator] from typing import Type, final class A: pass class B: @staticmethod def A() -> Type[A]: ... @staticmethod def B() -> Type[A]: # E: Function "__main__.B.A" is not valid as a type \ # N: Perhaps you need "Callable[...]" or a callback protocol? return A class C: @final @staticmethod def A() -> Type[A]: return A [builtins fixtures/staticmethod.pyi] [case testRefMethodWithOverloadDecorator] from typing import Type, overload class A: pass class B: @classmethod @overload def A(cls, x: int) -> Type[A]: ... @classmethod @overload def A(cls, x: str) -> Type[A]: ... @classmethod def A(cls, x: object) -> Type[A]: ... def B(cls, x: int) -> Type[A]: ... # E: Function "__main__.B.A" is not valid as a type \ # N: Perhaps you need "Callable[...]" or a callback protocol? [builtins fixtures/classmethod.pyi] [case testFinalClassWithAbstractAttributes] from abc import abstractmethod, ABCMeta from typing import final @final class A(metaclass=ABCMeta): # E: Final class __main__.A has abstract attributes "bar", "foo" @abstractmethod def foo(self): pass @property @abstractmethod def bar(self): pass [builtins fixtures/property.pyi] [case testFinalClassWithoutABCMeta] from abc import abstractmethod from typing import final @final class A(): # E: Final class __main__.A has abstract attributes "bar", "foo" @abstractmethod def foo(self): pass @property @abstractmethod def bar(self): pass [builtins fixtures/property.pyi] [case testFinalClassInheritedAbstractAttributes] from abc import abstractmethod, ABCMeta from typing import final class A(metaclass=ABCMeta): @abstractmethod def foo(self): pass @final class B(A): # E: Final class __main__.B has abstract attributes "foo" pass [case testUndefinedBaseclassInNestedClass] class C: class C1(XX): pass # E: Name "XX" is not defined [case testArgsKwargsInheritance] from typing import Any class A(object): def f(self, *args: Any, **kwargs: Any) -> int: ... class B(A): def f(self, x: int) -> int: ... [builtins fixtures/dict.pyi] [case testClassScopeImports] class Foo: from mod import plain_function # E: Unsupported class scoped import from mod import plain_var reveal_type(Foo.plain_function) # N: Revealed type is "Any" reveal_type(Foo().plain_function) # N: Revealed type is "Any" reveal_type(Foo.plain_var) # N: Revealed type is "builtins.int" reveal_type(Foo().plain_var) # N: Revealed type is "builtins.int" [file mod.py] def plain_function(x: int, y: int) -> int: ... plain_var: int [case testClassScopeImportModule] class Foo: import mod reveal_type(Foo.mod) # N: Revealed type is "builtins.object" reveal_type(Foo.mod.foo) # N: Revealed type is "builtins.int" [file mod.py] foo: int [case testClassScopeImportAlias] class Foo: from mod import function # E: Unsupported class scoped import foo = function from mod import var1 bar = var1 from mod import var2 baz = var2 from mod import var3 qux = var3 reveal_type(Foo.foo) # N: Revealed type is "Any" reveal_type(Foo.function) # N: Revealed type is "Any" reveal_type(Foo.bar) # N: Revealed type is "builtins.int" reveal_type(Foo.var1) # N: Revealed type is "builtins.int" reveal_type(Foo.baz) # N: Revealed type is "mod.C" reveal_type(Foo.var2) # N: Revealed type is "mod.C" reveal_type(Foo.qux) # N: Revealed type is "builtins.int" reveal_type(Foo.var3) # N: Revealed type is "builtins.int" [file mod.py] def function(x: int, y: int) -> int: ... var1: int class C: ... var2: C A = int var3: A [case testClassScopeImportModuleStar] class Foo: from mod import * # E: Unsupported class scoped import reveal_type(Foo.foo) # N: Revealed type is "builtins.int" reveal_type(Foo.bar) # N: Revealed type is "Any" reveal_type(Foo.baz) # E: "type[Foo]" has no attribute "baz" \ # N: Revealed type is "Any" [file mod.py] foo: int def bar(x: int) -> int: ... [case testClassScopeImportFunctionNested] class Foo: class Bar: from mod import baz # E: Unsupported class scoped import reveal_type(Foo.Bar.baz) # N: Revealed type is "Any" reveal_type(Foo.Bar().baz) # N: Revealed type is "Any" [file mod.py] def baz(x: int) -> int: ... [case testClassScopeImportUndefined] class Foo: from unknown import foo # E: Cannot find implementation or library stub for module named "unknown" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports reveal_type(Foo.foo) # N: Revealed type is "Any" reveal_type(Foo().foo) # N: Revealed type is "Any" [case testClassScopeImportWithFollowImports] # flags: --follow-imports=skip class Foo: from mod import foo reveal_type(Foo().foo) # N: Revealed type is "Any" [file mod.py] def foo(x: int, y: int) -> int: ... [case testClassScopeImportVarious] class Foo: from mod1 import foo # E: Unsupported class scoped import from mod2 import foo from mod1 import meth1 # E: Unsupported class scoped import def meth1(self, a: str) -> str: ... # E: Name "meth1" already defined on line 5 def meth2(self, a: str) -> str: ... from mod1 import meth2 # E: Incompatible import of "meth2" (imported name has type "Callable[[int], int]", local name has type "Callable[[Foo, str], str]") class Bar: from mod1 import foo # E: Unsupported class scoped import import mod1 reveal_type(Foo.foo) # N: Revealed type is "Any" reveal_type(Bar.foo) # N: Revealed type is "Any" reveal_type(mod1.foo) # N: Revealed type is "def (x: builtins.int, y: builtins.int) -> builtins.int" [file mod1.py] def foo(x: int, y: int) -> int: ... def meth1(x: int) -> int: ... def meth2(x: int) -> int: ... [file mod2.py] def foo(z: str) -> int: ... [case testClassScopeImportWithError] class Foo: from mod import meth1 # E: Unsupported class scoped import from mod import meth2 # E: Unsupported class scoped import from mod import T reveal_type(Foo.T) # N: Revealed type is "typing.TypeVar" [file mod.pyi] from typing import Any, TypeVar, overload @overload def meth1(self: Any, y: int) -> int: ... @overload def meth1(self: Any, y: str) -> str: ... T = TypeVar("T") def meth2(self: Any, y: T) -> T: ... [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testNewAndInitNoReturn] from typing import NoReturn class A: def __new__(cls) -> NoReturn: ... class B: def __init__(self) -> NoReturn: ... class C: def __new__(cls) -> "C": ... def __init__(self) -> NoReturn: ... class D: def __new__(cls) -> NoReturn: ... def __init__(self) -> NoReturn: ... if object(): reveal_type(A()) # N: Revealed type is "Never" if object(): reveal_type(B()) # N: Revealed type is "Never" if object(): reveal_type(C()) # N: Revealed type is "Never" if object(): reveal_type(D()) # N: Revealed type is "Never" [case testOverloadedNewAndInitNoReturn] from typing import NoReturn, overload class A: @overload def __new__(cls) -> NoReturn: ... @overload def __new__(cls, a: int) -> "A": ... def __new__(cls, a: int = ...) -> "A": ... class B: @overload def __init__(self) -> NoReturn: ... @overload def __init__(self, a: int) -> None: ... def __init__(self, a: int = ...) -> None: ... class C: def __new__(cls, a: int = ...) -> "C": ... @overload def __init__(self) -> NoReturn: ... @overload def __init__(self, a: int) -> None: ... def __init__(self, a: int = ...) -> None: ... class D: @overload def __new__(cls) -> NoReturn: ... @overload def __new__(cls, a: int) -> "D": ... def __new__(cls, a: int = ...) -> "D": ... @overload def __init__(self) -> NoReturn: ... @overload def __init__(self, a: int) -> None: ... def __init__(self, a: int = ...) -> None: ... if object(): reveal_type(A()) # N: Revealed type is "Never" reveal_type(A(1)) # N: Revealed type is "__main__.A" if object(): reveal_type(B()) # N: Revealed type is "Never" reveal_type(B(1)) # N: Revealed type is "__main__.B" if object(): reveal_type(C()) # N: Revealed type is "Never" reveal_type(C(1)) # N: Revealed type is "__main__.C" if object(): reveal_type(D()) # N: Revealed type is "Never" reveal_type(D(1)) # N: Revealed type is "__main__.D" [case testClassScopeImportWithWrapperAndError] class Foo: from mod import foo # E: Unsupported class scoped import [file mod.py] from typing import Any, Callable, TypeVar FuncT = TypeVar("FuncT", bound=Callable[..., Any]) def identity_wrapper(func: FuncT) -> FuncT: return func @identity_wrapper def foo(self: Any) -> str: return "" [case testParentClassWithTypeAliasAndSubclassWithMethod] from typing import Any, Callable, TypeVar class Parent: foo = Callable[..., int] class bar: pass import typing as baz foobar = TypeVar("foobar") class Child(Parent): def foo(self, val: int) -> int: # E: Signature of "foo" incompatible with supertype "Parent" \ # N: Superclass: \ # N: \ # N: Subclass: \ # N: def foo(self, val: int) -> int return val def bar(self, val: str) -> str: # E: Signature of "bar" incompatible with supertype "Parent" \ # N: Superclass: \ # N: def __init__(self) -> bar \ # N: Subclass: \ # N: def bar(self, val: str) -> str return val def baz(self, val: float) -> float: # E: Signature of "baz" incompatible with supertype "Parent" \ # N: Superclass: \ # N: Module \ # N: Subclass: \ # N: def baz(self, val: float) -> float return val def foobar(self) -> bool: # E: Signature of "foobar" incompatible with supertype "Parent" \ # N: Superclass: \ # N: TypeVar \ # N: Subclass: \ # N: def foobar(self) -> bool return False x: Parent.foo = lambda: 5 y: Parent.bar = Parent.bar() z: Parent.baz.Any = 1 child = Child() a: int = child.foo(1) b: str = child.bar("abc") c: float = child.baz(3.4) d: bool = child.foobar() [builtins fixtures/module.pyi] [typing fixtures/typing-full.pyi] [case testGenericTupleTypeCreation] from typing import Generic, Tuple, TypeVar T = TypeVar("T") S = TypeVar("S") class C(Tuple[T, S]): def __init__(self, x: T, y: S) -> None: ... def foo(self, arg: T) -> S: ... cis: C[int, str] reveal_type(cis) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.C[builtins.int, builtins.str]]" cii = C(0, 1) reveal_type(cii) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.C[builtins.int, builtins.int]]" reveal_type(cis.foo) # N: Revealed type is "def (arg: builtins.int) -> builtins.str" [builtins fixtures/tuple.pyi] [case testGenericTupleTypeSubclassing] from typing import Generic, Tuple, TypeVar, List T = TypeVar("T") class C(Tuple[T, T]): ... class D(C[List[T]]): ... di: D[int] reveal_type(di) # N: Revealed type is "tuple[builtins.list[builtins.int], builtins.list[builtins.int], fallback=__main__.D[builtins.int]]" [builtins fixtures/tuple.pyi] [case testOverrideAttrWithSettableProperty] class Foo: def __init__(self) -> None: self.x = 42 class Bar(Foo): @property def x(self) -> int: ... @x.setter def x(self, value: int) -> None: ... [builtins fixtures/property.pyi] [case testOverrideAttrWithSettablePropertyAnnotation] class Foo: x: int class Bar(Foo): @property def x(self) -> int: ... @x.setter def x(self, value: int) -> None: ... [builtins fixtures/property.pyi] [case testOverridePropertyDifferentSetterBoth] class B: ... class C(B): ... class B1: @property def foo(self) -> str: ... @foo.setter def foo(self, x: C) -> None: ... class C1(B1): @property def foo(self) -> str: ... @foo.setter def foo(self, x: B) -> None: ... class B2: @property def foo(self) -> str: ... @foo.setter def foo(self, x: B) -> None: ... class C2(B2): @property def foo(self) -> str: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "B2" defined the type as "B", \ # N: override has type "C") \ # N: Setter types should behave contravariantly def foo(self, x: C) -> None: ... class B3: @property def foo(self) -> C: ... @foo.setter def foo(self, x: C) -> None: ... class C3(B3): @property def foo(self) -> C: ... @foo.setter def foo(self, x: B) -> None: ... class B4: @property def foo(self) -> C: ... @foo.setter def foo(self, x: B) -> None: ... class C4(B4): @property def foo(self) -> C: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "B4" defined the type as "B", \ # N: override has type "C") \ # N: Setter types should behave contravariantly def foo(self, x: C) -> None: ... class B5: @property def foo(self) -> str: ... @foo.setter def foo(self, x: B) -> None: ... class C5(B5): @property # E: Signature of "foo" incompatible with supertype "B5" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: C def foo(self) -> C: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "B5" defined the type as "B", \ # N: override has type "str") def foo(self, x: str) -> None: ... class B6: @property def foo(self) -> B: ... @foo.setter def foo(self, x: B) -> None: ... class C6(B6): @property def foo(self) -> C: ... @foo.setter def foo(self, x: B) -> None: ... [builtins fixtures/property.pyi] [case testOverridePropertyDifferentSetterVarSuper] class B: ... class C(B): ... class B1: foo: B class C1(B1): @property def foo(self) -> B: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "B1" defined the type as "B", \ # N: override has type "C") \ # N: Setter types should behave contravariantly def foo(self, x: C) -> None: ... class B2: foo: C class C2(B2): @property def foo(self) -> C: ... @foo.setter def foo(self, x: B) -> None: ... class B3: foo: B class C3(B3): @property def foo(self) -> C: ... @foo.setter def foo(self, x: B) -> None: ... [builtins fixtures/property.pyi] [case testOverridePropertyDifferentSetterVarSub] class B: ... class C(B): ... class B1: @property def foo(self) -> B: ... @foo.setter def foo(self, x: C) -> None: ... class C1(B1): foo: C class B2: @property def foo(self) -> B: ... @foo.setter def foo(self, x: C) -> None: ... class C2(B2): foo: B class B3: @property def foo(self) -> C: ... @foo.setter def foo(self, x: B) -> None: ... class C3(B3): foo: C # E: Incompatible override of a setter type \ # N: (base class "B3" defined the type as "B", \ # N: override has type "C") \ # N: Setter types should behave contravariantly [builtins fixtures/property.pyi] [case testOverridePropertyInvalidSetter] class B1: @property def foo(self) -> int: ... @foo.setter def foo(self, x: str) -> None: ... class C1(B1): @property def foo(self) -> int: ... @foo.setter def foo(self) -> None: ... # E: Invalid property setter signature class B2: @property def foo(self) -> int: ... @foo.setter def foo(self) -> None: ... # E: Invalid property setter signature class C2(B2): @property def foo(self) -> int: ... @foo.setter def foo(self, x: str) -> None: ... class B3: @property def foo(self) -> int: ... @foo.setter def foo(self) -> None: ... # E: Invalid property setter signature class C3(B3): foo: int [builtins fixtures/property.pyi] [case testOverridePropertyGeneric] from typing import TypeVar, Generic T = TypeVar("T") class B1(Generic[T]): @property def foo(self) -> int: ... @foo.setter def foo(self, x: T) -> None: ... class C1(B1[str]): @property def foo(self) -> int: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "B1" defined the type as "str", \ # N: override has type "int") def foo(self, x: int) -> None: ... class B2: @property def foo(self) -> int: ... @foo.setter def foo(self: T, x: T) -> None: ... class C2(B2): @property def foo(self) -> int: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "B2" defined the type as "C2", \ # N: override has type "int") def foo(self, x: int) -> None: ... [builtins fixtures/property.pyi] [case testOverrideMethodProperty] class B: def foo(self) -> int: ... class C(B): @property def foo(self) -> int: # E: Signature of "foo" incompatible with supertype "B" \ # N: Superclass: \ # N: def foo(self) -> int \ # N: Subclass: \ # N: int ... [builtins fixtures/property.pyi] [case testOverridePropertyMethod] class B: @property def foo(self) -> int: ... class C(B): def foo(self) -> int: # E: Signature of "foo" incompatible with supertype "B" \ # N: Superclass: \ # N: int \ # N: Subclass: \ # N: def foo(self) -> int ... [builtins fixtures/property.pyi] [case testAllowArgumentAsBaseClass] from typing import Any, Type def e(b) -> None: class D(b): ... def f(b: Any) -> None: class D(b): ... def g(b: Type[Any]) -> None: class D(b): ... def h(b: type) -> None: class D(b): ... [case testNoCrashOnSelfWithForwardRefGenericClass] from typing import Generic, Sequence, TypeVar, Self _T = TypeVar('_T', bound="Foo") class Foo: foo: int class Element(Generic[_T]): elements: Sequence[Self] class Bar(Foo): ... e: Element[Bar] reveal_type(e.elements) # N: Revealed type is "typing.Sequence[__main__.Element[__main__.Bar]]" [case testIterableUnpackingWithGetAttr] from typing import Union, Tuple class C: def __getattr__(self, name): pass class D: def f(self) -> C: return C() def g(self) -> None: # iter(x) looks up `__iter__` on the type of x rather than x itself, # so this is correct behaviour. # Instances of C should not be treated as being iterable, # despite having a __getattr__ method # that could allow for arbitrary attributes to be accessed on instances, # since `type(C()).__iter__` still raises AttributeError at runtime, # and that's what matters. a, b = self.f() # E: "C" has no attribute "__iter__" (not iterable) [builtins fixtures/tuple.pyi] [case testUsingNumbersType] from numbers import Number, Complex, Real, Rational, Integral def f1(x: Number) -> None: pass f1(1) # E: Argument 1 to "f1" has incompatible type "int"; expected "Number" \ # N: Types from "numbers" aren't supported for static type checking \ # N: See https://peps.python.org/pep-0484/#the-numeric-tower \ # N: Consider using a protocol instead, such as typing.SupportsFloat def f2(x: Complex) -> None: pass f2(1) # E: Argument 1 to "f2" has incompatible type "int"; expected "Complex" \ # N: Types from "numbers" aren't supported for static type checking \ # N: See https://peps.python.org/pep-0484/#the-numeric-tower \ # N: Consider using a protocol instead, such as typing.SupportsFloat def f3(x: Real) -> None: pass f3(1) # E: Argument 1 to "f3" has incompatible type "int"; expected "Real" \ # N: Types from "numbers" aren't supported for static type checking \ # N: See https://peps.python.org/pep-0484/#the-numeric-tower \ # N: Consider using a protocol instead, such as typing.SupportsFloat def f4(x: Rational) -> None: pass f4(1) # E: Argument 1 to "f4" has incompatible type "int"; expected "Rational" \ # N: Types from "numbers" aren't supported for static type checking \ # N: See https://peps.python.org/pep-0484/#the-numeric-tower \ # N: Consider using a protocol instead, such as typing.SupportsFloat def f5(x: Integral) -> None: pass f5(1) # E: Argument 1 to "f5" has incompatible type "int"; expected "Integral" \ # N: Types from "numbers" aren't supported for static type checking \ # N: See https://peps.python.org/pep-0484/#the-numeric-tower \ # N: Consider using a protocol instead, such as typing.SupportsFloat [case testImplicitClassScopedNames] class C: reveal_type(__module__) # N: Revealed type is "builtins.str" reveal_type(__qualname__) # N: Revealed type is "builtins.str" def f(self) -> None: __module__ # E: Name "__module__" is not defined __qualname__ # E: Name "__qualname__" is not defined [case testPropertySetterType] class A: @property def f(self) -> int: return 1 @f.setter def f(self, x: str) -> None: pass a = A() a.f = '' # OK reveal_type(a.f) # N: Revealed type is "builtins.int" a.f = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type(a.f) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [case testPropertySetterTypeGeneric] from typing import TypeVar, Generic, List T = TypeVar("T") class B(Generic[T]): @property def foo(self) -> int: ... @foo.setter def foo(self, x: T) -> None: ... class C(B[List[T]]): ... a = C[str]() a.foo = ["foo", "bar"] reveal_type(a.foo) # N: Revealed type is "builtins.int" a.foo = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "list[str]") reveal_type(a.foo) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [case testPropertyDeleterNoSetterOK] class C: @property def x(self) -> int: return 0 @x.deleter def x(self) -> None: pass [builtins fixtures/property.pyi] [case testPropertySetterSuperclassDeferred] from typing import Callable, TypeVar class B: def __init__(self) -> None: self.foo = f() class C(B): @property def foo(self) -> str: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "B" defined the type as "str", \ # N: override has type "int") def foo(self, x: int) -> None: ... T = TypeVar("T") def deco(fn: Callable[[], list[T]]) -> Callable[[], T]: ... @deco def f() -> list[str]: ... [builtins fixtures/property.pyi] [case testPropertySetterSuperclassDeferred2] import a [file a.py] import b class D(b.C): @property def foo(self) -> str: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "C" defined the type as "str", \ # N: override has type "int") def foo(self, x: int) -> None: ... [file b.py] from a import D class C: @property def foo(self) -> str: ... @foo.setter def foo(self, x: str) -> None: ... [builtins fixtures/property.pyi] [case testPropertySetterDecorated] from typing import Callable, TypeVar, Generic class B: def __init__(self) -> None: self.foo: str self.bar: int class C(B): @property def foo(self) -> str: ... @foo.setter # E: Incompatible override of a setter type \ # N: (base class "B" defined the type as "str", \ # N: override has type "int") @deco def foo(self, x: int, y: int) -> None: ... @property def bar(self) -> int: ... @bar.setter @deco def bar(self, x: int, y: int) -> None: ... @property def baz(self) -> int: ... @baz.setter @deco_untyped def baz(self, x: int) -> None: ... @property def tricky(self) -> int: ... @tricky.setter @deco_instance def tricky(self, x: int) -> None: ... c: C c.baz = "yes" # OK, because of untyped decorator c.tricky = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "list[int]") T = TypeVar("T") def deco(fn: Callable[[T, int, int], None]) -> Callable[[T, int], None]: ... def deco_untyped(fn): ... class Wrapper(Generic[T]): def __call__(self, s: T, x: list[int]) -> None: ... def deco_instance(fn: Callable[[T, int], None]) -> Wrapper[T]: ... [builtins fixtures/property.pyi] [case testPropertyDeleterBodyChecked] class C: @property def foo(self) -> int: ... @foo.deleter def foo(self) -> None: 1() # E: "int" not callable @property def bar(self) -> int: ... @bar.setter def bar(self, x: str) -> None: ... @bar.deleter def bar(self) -> None: 1() # E: "int" not callable [builtins fixtures/property.pyi] [case testSettablePropertyGetterDecorated] from typing import Callable, TypeVar, Generic class C: @property @deco def foo(self, ok: int) -> str: ... @foo.setter def foo(self, x: str) -> None: ... @property @deco_instance def bar(self, ok: int) -> int: ... @bar.setter def bar(self, x: int) -> None: ... @property @deco_untyped def baz(self) -> int: ... @baz.setter def baz(self, x: int) -> None: ... c: C reveal_type(c.foo) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(c.bar) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(c.baz) # N: Revealed type is "Any" T = TypeVar("T") R = TypeVar("R") def deco(fn: Callable[[T, int], R]) -> Callable[[T], list[R]]: ... def deco_untyped(fn): ... class Wrapper(Generic[T, R]): def __call__(self, s: T) -> list[R]: ... def deco_instance(fn: Callable[[T, int], R]) -> Wrapper[T, R]: ... [builtins fixtures/property.pyi] [case testOverridePropertyWithDescriptor] from typing import Any class StrProperty: def __get__(self, instance: Any, owner: Any) -> str: ... class Base: @property def id(self) -> str: ... class BadBase: @property def id(self) -> int: ... class Derived(Base): id = StrProperty() class BadDerived(BadBase): id = StrProperty() # E: Incompatible types in assignment (expression has type "str", base class "BadBase" defined the type as "int") [builtins fixtures/property.pyi] [case testLambdaInOverrideInference] class B: def f(self, x: int) -> int: ... class C(B): f = lambda s, x: x reveal_type(C().f) # N: Revealed type is "def (x: builtins.int) -> builtins.int" [case testGenericDecoratorInOverrideInference] from typing import Any, Callable, TypeVar from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") T = TypeVar("T") def wrap(f: Callable[Concatenate[Any, P], T]) -> Callable[Concatenate[Any, P], T]: ... class Base: def g(self, a: int) -> int: return a + 1 class Derived(Base): def _g(self, a: int) -> int: return a + 2 g = wrap(_g) reveal_type(Derived().g) # N: Revealed type is "def (a: builtins.int) -> builtins.int" [builtins fixtures/paramspec.pyi] [case testClassVarOverrideWithSubclass] class A: ... class B(A): ... class AA: cls = A class BB(AA): cls = B [case testSelfReferenceWithinMethodFunction] class B: x: str class C(B): def meth(self) -> None: def cb() -> None: self.x: int = 1 # E: Incompatible types in assignment (expression has type "int", base class "B" defined the type as "str") [case testOverloadedDescriptorSelected] from typing import Generic, TypeVar, Any, overload T_co = TypeVar("T_co", covariant=True) class Field(Generic[T_co]): @overload def __get__(self: Field[bool], instance: None, owner: Any) -> BoolField: ... @overload def __get__(self: Field[int], instance: None, owner: Any) -> NumField: ... @overload def __get__(self: Field[Any], instance: None, owner: Any) -> AnyField[T_co]: ... @overload def __get__(self, instance: Any, owner: Any) -> T_co: ... def __get__(self, instance: Any, owner: Any) -> Any: pass class BoolField(Field[bool]): ... class NumField(Field[int]): ... class AnyField(Field[T_co]): ... class Custom: ... class Fields: bool_f: Field[bool] int_f: Field[int] custom_f: Field[Custom] reveal_type(Fields.bool_f) # N: Revealed type is "__main__.BoolField" reveal_type(Fields.int_f) # N: Revealed type is "__main__.NumField" reveal_type(Fields.custom_f) # N: Revealed type is "__main__.AnyField[__main__.Custom]" [case testRecursivePropertyWithInvalidSetterNoCrash] class NoopPowerResource: _hardware_type: int @property def hardware_type(self) -> int: return self._hardware_type @hardware_type.setter def hardware_type(self) -> None: # E: Invalid property setter signature self.hardware_type = None # Note: intentionally recursive [builtins fixtures/property.pyi] [case testOverrideErrorReportingNoDuplicates] from typing import Callable, TypeVar def nested() -> None: class B: def meth(self, x: str) -> int: ... class C(B): def meth(self) -> str: # E: Signature of "meth" incompatible with supertype "B" \ # N: Superclass: \ # N: def meth(self, x: str) -> int \ # N: Subclass: \ # N: def meth(self) -> str pass x = defer() T = TypeVar("T") def deco(fn: Callable[[], T]) -> Callable[[], list[T]]: ... @deco def defer() -> int: ... [builtins fixtures/list.pyi] [case testPropertyAllowsDeleterBeforeSetter] class C: @property def foo(self) -> str: ... @foo.deleter def foo(self) -> None: ... @foo.setter def foo(self, val: int) -> None: ... @property def bar(self) -> int: ... @bar.deleter def bar(self) -> None: ... @bar.setter def bar(self, value: int, val: int) -> None: ... # E: Invalid property setter signature C().foo = "no" # E: Incompatible types in assignment (expression has type "str", variable has type "int") C().bar = "fine" [builtins fixtures/property.pyi] [case testCorrectConstructorTypeWithAnyFallback] from typing import Generic, TypeVar class B(Unknown): # type: ignore def __init__(self) -> None: ... class C(B): ... reveal_type(C) # N: Revealed type is "def () -> __main__.C" T = TypeVar("T") class BG(Generic[T], Unknown): # type: ignore def __init__(self) -> None: ... class CGI(BG[int]): ... class CGT(BG[T]): ... reveal_type(CGI) # N: Revealed type is "def () -> __main__.CGI" reveal_type(CGT) # N: Revealed type is "def [T] () -> __main__.CGT[T`1]" [case testSettablePropertyAlias] from typing import Any, TypeVar class A: @property def prop(self: Any) -> str: ... @prop.setter def prop(self, val: str) -> None: ... T = TypeVar("T") class AT: @property def prop(self: T) -> T: ... @prop.setter def prop(self: T, val: list[T]) -> None: ... class B: prop: str prop_t: str class C(B): prop = A.prop prop_t = AT.prop # E: Incompatible types in assignment (expression has type "C", base class "B" defined the type as "str") reveal_type(C().prop) # N: Revealed type is "builtins.str" C().prop = "no" # E: Invalid self argument "C" to attribute function "prop" with type "Callable[[A, str], None]" reveal_type(C().prop_t) # N: Revealed type is "__main__.C" C().prop_t = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "list[C]") [builtins fixtures/property.pyi] [case testClassEqDecoratedAbstractNote] from abc import abstractmethod class C: @abstractmethod def __eq__(self, other: C) -> bool: ... [builtins fixtures/plugin_attrs.pyi] [out] main:5: error: Argument 1 of "__eq__" is incompatible with supertype "builtins.object"; supertype defines the argument type as "object" main:5: note: This violates the Liskov substitution principle main:5: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides main:5: note: It is recommended for "__eq__" to work with arbitrary objects, for example: main:5: note: def __eq__(self, other: object) -> bool: main:5: note: if not isinstance(other, C): main:5: note: return NotImplemented main:5: note: return [case testLambdaInAttributeCallValue] # https://github.com/python/mypy/issues/19632 import foo def nop(fn: object) -> foo.Bar: return foo.Bar() class Bar: foo: foo.Bar = nop( lambda: 0 ) [file foo.py] class Bar: ... [case testConstructorWithoutStrictOptionalNoCache] import mod a = mod.NT(x=None) # OK [file typ.py] from typing import NamedTuple, Optional NT = NamedTuple("NT", [("x", Optional[str])]) [file mod.py] # mypy: no-strict-optional from typ import NT def f() -> NT: return NT(x='') [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-classvar.test0000644000175100017510000002301415112307767020716 0ustar00runnerrunner[case testAssignmentOnClass] from typing import ClassVar class A: x = 1 # type: ClassVar[int] A.x = 2 [case testAssignmentOnInstance] from typing import ClassVar class A: x = 1 # type: ClassVar[int] A().x = 2 [out] main:4: error: Cannot assign to class variable "x" via instance [case testAssignmentOnSubclassInstance] from typing import ClassVar class A: x = 1 # type: ClassVar[int] class B(A): pass B().x = 2 [out] main:6: error: Cannot assign to class variable "x" via instance [case testOverrideOnSelf] from typing import ClassVar class A: x = None # type: ClassVar[int] def __init__(self) -> None: self.x = 0 [out] main:5: error: Cannot assign to class variable "x" via instance [case testOverrideOnSelfInSubclass] from typing import ClassVar class A: x = None # type: ClassVar[int] class B(A): def __init__(self) -> None: self.x = 0 [out] main:6: error: Cannot assign to class variable "x" via instance [case testReadingFromInstance] from typing import ClassVar class A: x = 1 # type: ClassVar[int] A().x reveal_type(A().x) [out] main:5: note: Revealed type is "builtins.int" [case testReadingFromSelf] from typing import ClassVar class A: x = 1 # type: ClassVar[int] def __init__(self) -> None: reveal_type(self.x) [out] main:5: note: Revealed type is "builtins.int" [case testTypecheckSimple] from typing import ClassVar class A: x = 1 # type: ClassVar[int] y = A.x # type: int [case testTypecheckWithUserType] from typing import ClassVar class A: pass class B: x = A() # type: ClassVar[A] [case testTypeCheckOnAssignment] from typing import ClassVar class A: pass class B: pass class C: x = None # type: ClassVar[A] C.x = B() [out] main:8: error: Incompatible types in assignment (expression has type "B", variable has type "A") [case testTypeCheckWithOverridden] from typing import ClassVar class A: pass class B(A): pass class C: x = A() # type: ClassVar[A] C.x = B() [case testRevealType] from typing import ClassVar class A: x = None # type: ClassVar[int] reveal_type(A.x) [out] main:4: note: Revealed type is "builtins.int" [case testInfer] from typing import ClassVar class A: x = 1 # type: ClassVar[int] y = A.x reveal_type(y) [out] main:5: note: Revealed type is "builtins.int" [case testAssignmentOnUnion] from typing import ClassVar, Union class A: x = None # type: int class B: x = None # type: ClassVar[int] c = A() # type: Union[A, B] c.x = 1 [out] main:7: error: Cannot assign to class variable "x" via instance [case testAssignmentOnInstanceFromType] from typing import ClassVar, Type class A: x = None # type: ClassVar[int] def f(a: Type[A]) -> None: a().x = 0 [out] main:5: error: Cannot assign to class variable "x" via instance [case testAssignmentOnInstanceFromSubclassType] from typing import ClassVar, Type class A: x = None # type: ClassVar[int] class B(A): pass def f(b: Type[B]) -> None: b().x = 0 [out] main:7: error: Cannot assign to class variable "x" via instance [case testClassVarWithList] from typing import ClassVar, List class A: x = None # type: ClassVar[List[int]] A.x = ['a'] A().x.append(1) A().x.append('') [builtins fixtures/list.pyi] [out] main:4: error: List item 0 has incompatible type "str"; expected "int" main:6: error: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" [case testClassVarWithUnion] from typing import ClassVar, Union class A: x = None # type: ClassVar[Union[int, str]] class B: pass A.x = 0 A.x = 'a' A.x = B() reveal_type(A().x) [out] main:8: error: Incompatible types in assignment (expression has type "B", variable has type "Union[int, str]") main:9: note: Revealed type is "Union[builtins.int, builtins.str]" [case testOverrideWithNarrowedUnion] from typing import ClassVar, Union class A: pass class B: pass class C: pass class D: x = None # type: ClassVar[Union[A, B, C]] class E(D): x = None # type: ClassVar[Union[A, B]] [case testOverrideWithExtendedUnion] from typing import ClassVar, Union class A: pass class B: pass class C: pass class D: x = None # type: ClassVar[Union[A, B]] class E(D): x = None # type: ClassVar[Union[A, B, C]] [out] main:8: error: Incompatible types in assignment (expression has type "Union[A, B, C]", base class "D" defined the type as "Union[A, B]") [case testAssignmentToCallableRet] from typing import ClassVar class A: x = None # type: ClassVar[int] def f() -> A: return A() f().x = 0 [out] main:6: error: Cannot assign to class variable "x" via instance [case testOverrideWithIncompatibleType] from typing import ClassVar class A: x = None # type: ClassVar[int] class B(A): x = None # type: ClassVar[str] [out] main:5: error: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") [case testOverrideWithNormalAttribute] from typing import ClassVar class A: x = 1 # type: ClassVar[int] class B(A): x = 2 # type: int [out] main:5: error: Cannot override class variable (previously declared on base class "A") with instance variable [case testOverrideWithAttributeWithClassVar] from typing import ClassVar class A: x = 1 # type: int class B(A): x = 2 # type: ClassVar[int] [out] main:5: error: Cannot override instance variable (previously declared on base class "A") with class variable [case testOverrideClassVarManyBases] from typing import ClassVar class A: x = 1 # type: ClassVar[int] class B: x = 2 # type: int class C(A, B): x = 3 # type: ClassVar[int] [out] main:7: error: Cannot override instance variable (previously declared on base class "B") with class variable [case testOverrideClassVarWithClassVar] from typing import ClassVar class A: x = 1 # type: ClassVar[int] class B(A): x = 2 # type: ClassVar[int] [case testOverrideClassVarWithImplicitClassVar] from typing import ClassVar class A: x = 1 # type: ClassVar[int] class B(A): x = 2 [case testOverrideClassVarWithImplicitThenExplicit] from typing import ClassVar class A: x = 1 # type: ClassVar[int] class B(A): x = 2 class C(B): x = 3 # type: ClassVar[int] [case testOverrideOnABCSubclass] from abc import ABCMeta from typing import ClassVar class A(metaclass=ABCMeta): x = None # type: ClassVar[int] class B(A): x = 0 # type: ClassVar[int] [case testAcrossModules] import m reveal_type(m.A().x) m.A().x = 0 [file m.py] from typing import ClassVar class A: x = None # type: ClassVar[int] [out] main:2: note: Revealed type is "builtins.int" main:3: error: Cannot assign to class variable "x" via instance [case testClassVarWithGeneric] from typing import ClassVar, Generic, TypeVar T = TypeVar('T') class A(Generic[T]): x: ClassVar[T] # Error reported at access site @classmethod def foo(cls) -> T: return cls.x # OK A.x # E: Access to generic class variables is ambiguous A.x = 1 # E: Access to generic class variables is ambiguous A[int].x # E: Access to generic class variables is ambiguous class Bad(A[int]): pass Bad.x # E: Access to generic class variables is ambiguous class Good(A[int]): x = 42 reveal_type(Good.x) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [case testClassVarWithNestedGeneric] from typing import ClassVar, Generic, Tuple, TypeVar, Union, Type T = TypeVar('T') U = TypeVar('U') class A(Generic[T, U]): x: ClassVar[Union[T, Tuple[U, Type[U]]]] # Error reported at access site @classmethod def foo(cls) -> Union[T, Tuple[U, Type[U]]]: return cls.x # OK A.x # E: Access to generic class variables is ambiguous A.x = 1 # E: Access to generic class variables is ambiguous A[int, str].x # E: Access to generic class variables is ambiguous class Bad(A[int, str]): pass reveal_type(Bad.x) # E: Access to generic class variables is ambiguous \ # N: Revealed type is "Union[builtins.int, tuple[builtins.str, type[builtins.str]]]" reveal_type(Bad().x) # N: Revealed type is "Union[builtins.int, tuple[builtins.str, type[builtins.str]]]" class Good(A[int, str]): x = 42 reveal_type(Good.x) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [case testSuggestClassVarOnTooFewArgumentsMethod] from typing import Callable class C: foo: Callable[[C], int] c:C c.foo() # E: Too few arguments \ # N: "foo" is considered instance variable, to make it class variable use ClassVar[...] [case testClassVarUnionBoundOnInstance] from typing import Union, Callable, ClassVar class C: def f(self) -> int: ... g: ClassVar[Union[Callable[[C], int], int]] = f reveal_type(C().g) # N: Revealed type is "Union[def () -> builtins.int, builtins.int]" [case testGenericSubclassAccessNoLeak] from typing import ClassVar, Generic, TypeVar T = TypeVar("T") class B(Generic[T]): x: T y: ClassVar[T] class C(B[T]): ... reveal_type(C.x) # E: Access to generic instance variables via class is ambiguous \ # N: Revealed type is "Any" reveal_type(C.y) # E: Access to generic class variables is ambiguous \ # N: Revealed type is "Any" [case testClassVarBareAnnotation] from typing import ClassVar class C: x: ClassVar = 1 y: ClassVar reveal_type(C.x) # N: Revealed type is "builtins.int" reveal_type(C().x) # N: Revealed type is "builtins.int" reveal_type(C.y) # N: Revealed type is "Any" reveal_type(C().y) # N: Revealed type is "Any" [case testClassVarBareAnnotationDisabled] # flags: --disallow-any-generics from typing import ClassVar class C: x: ClassVar = 1 y: ClassVar # E: ClassVar without type argument becomes Any ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-columns.test0000644000175100017510000003562115112307767020567 0ustar00runnerrunner# Test column numbers in messages. --show-column-numbers is enabled implicitly by test runner. [case testColumnsSyntaxError] f() 1 + [out] main:2:5: error: Invalid syntax [case testColumnsNestedFunctions] import typing def f() -> 'A': def g() -> 'B': return A() # E:16: Incompatible return value type (got "A", expected "B") return B() # E:12: Incompatible return value type (got "B", expected "A") class A: pass class B: pass [case testColumnsMethodDefaultArgumentsAndSignatureAsComment] import typing class A: def f(self, x = 1, y = 'hello'): # type: (int, str) -> str pass A().f() A().f(1) A().f('') # E:7: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" A().f(1, 1) # E:10: Argument 2 to "f" of "A" has incompatible type "int"; expected "str" (A().f(1, 'hello', 'hi')) # E:2: Too many arguments for "f" of "A" [case testColumnsInvalidArgumentType] def f(x: int, y: str) -> None: ... def g(*x: int) -> None: pass def h(**x: int) -> None: pass def ff(x: int) -> None: pass class A: x: str def __neg__(self) -> str: pass def __add__(self, other: int) -> str: pass def __lt__(self, other: int) -> str: pass f( y=0, x=0) # E:4: Argument "y" to "f" has incompatible type "int"; expected "str" f(x=0, y=None) # E:6: Argument "y" to "f" has incompatible type "None"; expected "str" g(1, '', 2) # E:6: Argument 2 to "g" has incompatible type "str"; expected "int" aaa: str h(x=1, y=aaa, z=2) # E:10: Argument "y" to "h" has incompatible type "str"; expected "int" a: A ff(a.x) # E:4: Argument 1 to "ff" has incompatible type "str"; expected "int" ff([1]) # E:4: Argument 1 to "ff" has incompatible type "list[int]"; expected "int" # TODO: Different column in Python 3.8+ #ff([1 for x in [1]]) # Argument 1 to "ff" has incompatible type "list[int]"; expected "int" ff({1: 2}) # E:4: Argument 1 to "ff" has incompatible type "dict[int, int]"; expected "int" ff(1.1) # E:4: Argument 1 to "ff" has incompatible type "float"; expected "int" # TODO: Different column in Python 3.8+ #ff( ( 1, 1)) # Argument 1 to "ff" has incompatible type "tuple[int, int]"; expected "int" ff(-a) # E:4: Argument 1 to "ff" has incompatible type "str"; expected "int" ff(a + 1) # E:4: Argument 1 to "ff" has incompatible type "str"; expected "int" ff(a < 1) # E:4: Argument 1 to "ff" has incompatible type "str"; expected "int" ff([''][0]) # E:4: Argument 1 to "ff" has incompatible type "str"; expected "int" class B(A): def f(self) -> None: ff(super().__neg__()) # E:12: Argument 1 to "ff" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testColumnsInvalidArgumentTypeVarArgs] def f(*x: int) -> None: pass def g(**x: int) -> None: pass a = [''] f(*a) # E:4: Argument 1 to "f" has incompatible type "*list[str]"; expected "int" b = {'x': 'y'} g(**b) # E:5: Argument 1 to "g" has incompatible type "**dict[str, str]"; expected "int" [builtins fixtures/dict.pyi] [case testColumnsMultipleStatementsPerLine] x = 15 y = 'hello' if int(): x = 2; y = x; y += 1 [builtins fixtures/primitives.pyi] [out] main:4:16: error: Incompatible types in assignment (expression has type "int", variable has type "str") main:4:24: error: Unsupported operand types for + ("str" and "int") [case testColumnsAssignment] class A: x = 0 A().x = '' # E:9: Incompatible types in assignment (expression has type "str", variable has type "int") a = [0] a[0] = '' # E:8: Incompatible types in assignment (expression has type "str", target has type "int") b = 0 c = 0 b, c = 0, '' # E:11: Incompatible types in assignment (expression has type "str", variable has type "int") b, c = '', 0 # E:8: Incompatible types in assignment (expression has type "str", variable has type "int") t = 0, '' b, c = t # E:8: Incompatible types in assignment (expression has type "str", variable has type "int") class B(A): x = '' # E:9: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") [builtins fixtures/list.pyi] [case testColumnsAttributeIncompatibleWithBaseClassUsingAnnotation] class A: x: str class B(A): x: int # E:5: Incompatible types in assignment (expression has type "int", base class "A" defined the type as "str") [case testColumnsSimpleIsinstance] import typing def f(x: object, n: int, s: str) -> None: if int(): n = x # E:13: Incompatible types in assignment (expression has type "object", variable has type "int") if isinstance(x, int): n = x s = x # E:17: Incompatible types in assignment (expression has type "int", variable has type "str") n = x # E:13: Incompatible types in assignment (expression has type "object", variable has type "int") [builtins fixtures/isinstance.pyi] [case testColumnHasNoAttribute] import m if int(): from m import foobaz # E:5: Module "m" has no attribute "foobaz"; maybe "foobar"? 1 .x # E:1: "int" has no attribute "x" (m.foobaz()) # E:2: Module has no attribute "foobaz"; maybe "foobar"? [file m.py] def foobar(): pass [builtins fixtures/module.pyi] [case testColumnUnexpectedOrMissingKeywordArg] def f(): pass # N:1: "f" defined here # TODO: Point to "x" instead (f(x=1)) # E:2: Unexpected keyword argument "x" for "f" def g(*, x: int) -> None: pass (g()) # E:2: Missing named argument "x" for "g" [case testColumnDefinedHere] class A: pass if int(): def f(a: 'A') -> None: pass # N:5: "f" defined here (f(b=object())) # E:6: Unexpected keyword argument "b" for "f" [case testColumnInvalidType] from typing import Iterable bad = 0 def f(x: bad): # E:10: Variable "__main__.bad" is not valid as a type \ # N:10: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases y: bad # E:8: Variable "__main__.bad" is not valid as a type \ # N:8: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases if int(): def g(x): # E:5: Variable "__main__.bad" is not valid as a type \ # N:5: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases # type: (bad) -> None y = 0 # type: bad # E:9: Variable "__main__.bad" is not valid as a type \ # N:9: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases z: Iterable[bad] # E:13: Variable "__main__.bad" is not valid as a type \ # N:13: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases h: bad[int] # E:4: Variable "__main__.bad" is not valid as a type \ # N:4: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testColumnFunctionMissingTypeAnnotation] # flags: --disallow-untyped-defs if int(): def f(x: int): # E:5: Function is missing a return type annotation pass def g(x): # E:5: Function is missing a type annotation pass [case testColumnNameIsNotDefined] ((x)) # E:3: Name "x" is not defined [case testColumnNeedTypeAnnotation] if 1: x = [] # E:5: Need type annotation for "x" (hint: "x: list[] = ...") [builtins fixtures/list.pyi] [case testColumnCallToUntypedFunction] # flags: --disallow-untyped-calls def f() -> None: (g(1)) # E:6: Call to untyped function "g" in typed context def g(x): pass [case testColumnInvalidArguments] def f(x, y): pass (f()) # E:2: Missing positional arguments "x", "y" in call to "f" (f(y=1)) # E:2: Missing positional argument "x" in call to "f" [case testColumnListOrDictItemHasIncompatibleType] from typing import List, Dict x: List[int] = [ 'x', # E:5: List item 0 has incompatible type "str"; expected "int" 1.1] # E:7: List item 1 has incompatible type "float"; expected "int" y: Dict[int, int] = { 'x': 1 # E:5: Dict entry 0 has incompatible type "str": "int"; expected "int": "int" } [builtins fixtures/dict.pyi] [case testColumnCannotDetermineType] # flags: --no-local-partial-types (x) # E:2: Cannot determine type of "x" # E:2: Name "x" is used before definition x = None [case testColumnInvalidIndexing] from typing import List ([1]['']) # E:6: Invalid index type "str" for "list[int]"; expected type "int" (1[1]) # E:2: Value of type "int" is not indexable def f() -> None: 1[1] = 1 # E:5: Unsupported target for indexed assignment ("int") [builtins fixtures/list.pyi] [case testColumnTypedDict] from typing import TypedDict class D(TypedDict): x: int t: D = {'x': 'y'} # E:5: Incompatible types (expression has type "str", TypedDict item "x" has type "int") s: str if int(): del t[s] # E:11: Expected TypedDict key to be string literal del t["x"] # E:11: Key "x" of TypedDict "D" cannot be deleted del t["y"] # E:11: TypedDict "D" has no key "y" t.pop(s) # E:7: Expected TypedDict key to be string literal t.pop("y") # E:7: TypedDict "D" has no key "y" t.setdefault(s, 123) # E:14: Expected TypedDict key to be string literal t.setdefault("x", "a") # E:19: Argument 2 to "setdefault" of "TypedDict" has incompatible type "str"; expected "int" t.setdefault("y", 123) # E:14: TypedDict "D" has no key "y" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testColumnSignatureIncompatibleWithSuperType] class A: def f(self, x: int) -> None: pass class B(A): def f(self, x: str) -> None: pass # E:17: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N:17: This violates the Liskov substitution principle \ # N:17: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides class C(A): def f(self, x: int) -> int: pass # E:5: Return type "int" of "f" incompatible with return type "None" in supertype "A" class D(A): def f(self) -> None: pass # E:5: Signature of "f" incompatible with supertype "A" \ # N:5: Superclass: \ # N:5: def f(self, x: int) -> None \ # N:5: Subclass: \ # N:5: def f(self) -> None [case testColumnMissingTypeParameters] # flags: --disallow-any-generics from typing import List, Callable def f(x: List) -> None: pass # E:10: Missing type parameters for generic type "List" def g(x: list) -> None: pass # E:10: Missing type parameters for generic type "list" if int(): c: Callable # E:8: Missing type parameters for generic type "Callable" [builtins fixtures/list.pyi] [case testColumnIncompatibleDefault] if int(): def f(x: int = '') -> None: # E:20: Incompatible default for argument "x" (default has type "str", argument has type "int") pass [case testColumnMissingProtocolMember] from typing import Protocol class P(Protocol): x: int y: int class C: x: int p: P if int(): p = C() # E:9: Incompatible types in assignment (expression has type "C", variable has type "P") \ # N:9: "C" is missing following "P" protocol member: \ # N:9: y [case testColumnRedundantCast] # flags: --warn-redundant-casts from typing import cast y = 1 x = cast(int, y) # E:5: Redundant cast to "int" [case testColumnTypeSignatureHasTooFewArguments] if int(): def f(x, y): # E:5: Type signature has too few arguments # type: (int) -> None pass [case testColumnRevealedType] if int(): reveal_type(1) # N:17: Revealed type is "Literal[1]?" [case testColumnNonOverlappingEqualityCheck] # flags: --strict-equality if 1 == '': # E:4: Non-overlapping equality check (left operand type: "Literal[1]", right operand type: "Literal['']") pass [builtins fixtures/bool.pyi] [case testColumnValueOfTypeVariableCannotBe] from typing import TypeVar, Generic T = TypeVar('T', int, str) class C(Generic[T]): pass def f(c: C[object]) -> None: pass # E:12: Value of type variable "T" of "C" cannot be "object" (C[object]()) # E:2: Value of type variable "T" of "C" cannot be "object" [case testColumnInvalidLocationForParamSpec] from typing import List from typing_extensions import ParamSpec P = ParamSpec('P') def foo(x: List[P]): pass # E:17: Invalid location for ParamSpec "P" \ # N:17: You can use ParamSpec as the first argument to Callable, e.g., "Callable[P, int]" [builtins fixtures/list.pyi] [case testColumnSyntaxErrorInTypeAnnotation] if int(): def f(x # type: int, ): pass [out] main:2:11: error: Syntax error in type annotation main:2:11: note: Suggestion: Is there a spurious trailing comma? [case testColumnSyntaxErrorInTypeAnnotation2] if int(): # TODO: It would be better to point to the type comment xyz = 0 # type: blurbnard blarb [out] main:3:5: error: Syntax error in type comment "blurbnard blarb" [case testColumnProperty] class A: @property def x(self) -> int: pass @x.setter def x(self, x: int) -> None: pass class B(A): @property # E:6: Read-only property cannot override read-write property def x(self) -> int: pass [builtins fixtures/property.pyi] [case testColumnOverloaded] from typing import overload, Any class A: @overload # E:6: An overloaded function outside a stub file must have an implementation def f(self, x: int) -> int: pass @overload def f(self, x: str) -> str: pass [case testColumnFunctionWithTypeVarValues] from typing import TypeVar, List T = TypeVar('T', int, str) def g(x): pass # N:1: "g" defined here def f(x: T) -> T: (x.bad) # E:6: "int" has no attribute "bad" \ # E:6: "str" has no attribute "bad" g(y=x) # E:5: Unexpected keyword argument "y" for "g" y: List[int, str] # E:8: "list" expects 1 type argument, but 2 given del 1[0] # E:5: "int" has no attribute "__delitem__" bb: List[int] = [''] # E:22: List item 0 has incompatible type "str"; expected "int" # XXX: Disabled because the column differs in 3.8 # aa: List[int] = ['' for x in [1]] # :22: List comprehension has incompatible type List[str]; expected List[int] cc = 1 .bad # E:10: "int" has no attribute "bad" n: int = '' # E:14: Incompatible types in assignment (expression has type "str", variable has type "int") return x [builtins fixtures/list.pyi] [case testColumnReturnValueExpected] def f() -> int: return # E:5: Return value expected [case testCheckEndColumnPositions] # flags: --show-error-end x: int = "no way" def g() -> int: ... def f(x: str) -> None: ... f(g( )) x[0] [out] main:2:10:2:17: error: Incompatible types in assignment (expression has type "str", variable has type "int") main:6:3:7:1: error: Argument 1 to "f" has incompatible type "int"; expected "str" main:8:1:8:4: error: Value of type "int" is not indexable [case testEndColumnsWithTooManyTypeVars] # flags: --pretty import typing x1: typing.List[typing.List[int, int]] x2: list[list[int, int]] [out] main:4:17: error: "list" expects 1 type argument, but 2 given x1: typing.List[typing.List[int, int]] ^~~~~~~~~~~~~~~~~~~~~ main:5:10: error: "list" expects 1 type argument, but 2 given x2: list[list[int, int]] ^~~~~~~~~~~~~~ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-ctypes.test0000644000175100017510000001677115112307767020423 0ustar00runnerrunner[case testCtypesArrayStandardElementType] import ctypes class MyCInt(ctypes.c_int): pass intarr4 = ctypes.c_int * 4 a = intarr4(1, ctypes.c_int(2), MyCInt(3), 4) intarr4(1, 2, 3, "invalid") # E: Array constructor argument 4 of type "str" is not convertible to the array element type "c_int" reveal_type(a) # N: Revealed type is "_ctypes.Array[ctypes.c_int]" reveal_type(a[0]) # N: Revealed type is "builtins.int" reveal_type(a[1:3]) # N: Revealed type is "builtins.list[builtins.int]" a[0] = 42 a[1] = ctypes.c_int(42) a[2] = MyCInt(42) a[3] = b"bytes" # E: No overload variant of "__setitem__" of "Array" matches argument types "int", "bytes" \ # N: Possible overload variants: \ # N: def __setitem__(self, int, Union[c_int, int], /) -> None \ # N: def __setitem__(self, slice, list[Union[c_int, int]], /) -> None for x in a: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesArrayCustomElementType] import ctypes from typing import Union, List class MyCInt(ctypes.c_int): pass myintarr4 = MyCInt * 4 mya = myintarr4(1, 2, MyCInt(3), 4) myintarr4(1, ctypes.c_int(2), MyCInt(3), "invalid") # E: Array constructor argument 2 of type "c_int" is not convertible to the array element type "MyCInt" \ # E: Array constructor argument 4 of type "str" is not convertible to the array element type "MyCInt" reveal_type(mya) # N: Revealed type is "_ctypes.Array[__main__.MyCInt]" reveal_type(mya[0]) # N: Revealed type is "__main__.MyCInt" reveal_type(mya[1:3]) # N: Revealed type is "builtins.list[__main__.MyCInt]" mya[0] = 42 mya[1] = ctypes.c_int(42) # E: No overload variant of "__setitem__" of "Array" matches argument types "int", "c_int" \ # N: Possible overload variants: \ # N: def __setitem__(self, int, Union[MyCInt, int], /) -> None \ # N: def __setitem__(self, slice, list[Union[MyCInt, int]], /) -> None mya[2] = MyCInt(42) mya[3] = b"bytes" # E: No overload variant of "__setitem__" of "Array" matches argument types "int", "bytes" \ # N: Possible overload variants: \ # N: def __setitem__(self, int, Union[MyCInt, int], /) -> None \ # N: def __setitem__(self, slice, list[Union[MyCInt, int]], /) -> None for myx in mya: reveal_type(myx) # N: Revealed type is "__main__.MyCInt" myu: Union[ctypes.Array[ctypes.c_int], List[str]] for myi in myu: reveal_type(myi) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesArrayUnionElementType] import ctypes from typing import Union class MyCInt(ctypes.c_int): pass mya: ctypes.Array[Union[MyCInt, ctypes.c_uint]] reveal_type(mya) # N: Revealed type is "_ctypes.Array[Union[__main__.MyCInt, ctypes.c_uint]]" reveal_type(mya[0]) # N: Revealed type is "Union[__main__.MyCInt, builtins.int]" reveal_type(mya[1:3]) # N: Revealed type is "builtins.list[Union[__main__.MyCInt, builtins.int]]" # The behavior here is not strictly correct, but intentional. # See the comment in mypy.plugins.ctypes._autoconvertible_to_cdata for details. mya[0] = 42 mya[1] = ctypes.c_uint(42) mya[2] = MyCInt(42) mya[3] = b"bytes" # E: No overload variant of "__setitem__" of "Array" matches argument types "int", "bytes" \ # N: Possible overload variants: \ # N: def __setitem__(self, int, Union[MyCInt, int, c_uint], /) -> None \ # N: def __setitem__(self, slice, list[Union[MyCInt, int, c_uint]], /) -> None for myx in mya: reveal_type(myx) # N: Revealed type is "Union[__main__.MyCInt, builtins.int]" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesCharArrayAttrs] import ctypes ca = (ctypes.c_char * 4)(b'a', b'b', b'c', b'\x00') reveal_type(ca.value) # N: Revealed type is "builtins.bytes" reveal_type(ca.raw) # N: Revealed type is "builtins.bytes" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesCharPArrayDoesNotCrash] import ctypes # The following line used to crash with "Could not find builtin symbol 'NoneType'" ca = (ctypes.c_char_p * 0)() [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesWcharArrayAttrs] import ctypes wca = (ctypes.c_wchar * 4)('a', 'b', 'c', '\x00') reveal_type(wca.value) # N: Revealed type is "builtins.str" wca.raw # E: Array attribute "raw" is only available with element type "c_char", not "c_wchar" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesCharUnionArrayAttrs] import ctypes from typing import Union cua: ctypes.Array[Union[ctypes.c_char, ctypes.c_wchar]] reveal_type(cua.value) # N: Revealed type is "Union[builtins.bytes, builtins.str]" cua.raw # E: Array attribute "raw" is only available with element type "c_char", not "Union[c_char, c_wchar]" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesAnyUnionArrayAttrs] import ctypes from typing import Any, Union caa: ctypes.Array[Union[ctypes.c_char, Any]] reveal_type(caa.value) # N: Revealed type is "Union[builtins.bytes, Any]" reveal_type(caa.raw) # N: Revealed type is "builtins.bytes" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesOtherUnionArrayAttrs] import ctypes from typing import Union cua: ctypes.Array[Union[ctypes.c_char, ctypes.c_int]] cua.value # E: Array attribute "value" is only available with element type "c_char" or "c_wchar", not "Union[c_char, c_int]" cua.raw # E: Array attribute "raw" is only available with element type "c_char", not "Union[c_char, c_int]" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesAnyArrayAttrs] import ctypes from typing import Any aa: ctypes.Array[Any] reveal_type(aa.value) # N: Revealed type is "Any" reveal_type(aa.raw) # N: Revealed type is "builtins.bytes" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesOtherArrayAttrs] import ctypes oa = (ctypes.c_int * 4)(1, 2, 3, 4) oa.value # E: Array attribute "value" is only available with element type "c_char" or "c_wchar", not "c_int" oa.raw # E: Array attribute "raw" is only available with element type "c_char", not "c_int" [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] [case testCtypesArrayConstructorStarargs] import ctypes intarr4 = ctypes.c_int * 4 intarr6 = ctypes.c_int * 6 int_values = [1, 2, 3, 4] c_int_values = [ctypes.c_int(1), ctypes.c_int(2), ctypes.c_int(3), ctypes.c_int(4)] reveal_type(intarr4(*int_values)) # N: Revealed type is "_ctypes.Array[ctypes.c_int]" reveal_type(intarr4(*c_int_values)) # N: Revealed type is "_ctypes.Array[ctypes.c_int]" reveal_type(intarr6(1, ctypes.c_int(2), *int_values)) # N: Revealed type is "_ctypes.Array[ctypes.c_int]" reveal_type(intarr6(1, ctypes.c_int(2), *c_int_values)) # N: Revealed type is "_ctypes.Array[ctypes.c_int]" [typing fixtures/typing-medium.pyi] float_values = [1.0, 2.0, 3.0, 4.0] intarr4(*float_values) # E: Array constructor argument 1 of type "List[float]" is not convertible to the array element type "Iterable[c_int]" [builtins fixtures/floatdict.pyi] [case testCtypesArrayConstructorKwargs] import ctypes intarr4 = ctypes.c_int * 4 x = {"a": 1, "b": 2} intarr4(**x) [builtins fixtures/floatdict.pyi] [typing fixtures/typing-medium.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-custom-plugin.test0000644000175100017510000010225015112307767021706 0ustar00runnerrunner-- Test cases for user-defined plugins -- -- Note: Plugins used by tests live under test-data/unit/plugins. Defining -- plugin files in test cases does not work reliably. [case testFunctionPluginFile] # flags: --config-file tmp/mypy.ini def f() -> str: ... reveal_type(f()) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/fnplugin.py [case testFunctionPluginFilePyProjectTOML] # flags: --config-file tmp/pyproject.toml def f() -> str: ... reveal_type(f()) # N: Revealed type is "builtins.int" [file pyproject.toml] \[tool.mypy] plugins='/test-data/unit/plugins/fnplugin.py' [case testFunctionPlugin] # flags: --config-file tmp/mypy.ini def f() -> str: ... reveal_type(f()) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=fnplugin [case testFunctionPluginPyProjectTOML] # flags: --config-file tmp/pyproject.toml def f() -> str: ... reveal_type(f()) # N: Revealed type is "builtins.int" [file pyproject.toml] \[tool.mypy] plugins = 'fnplugin' [case testFunctionPluginFullnameIsNotNone] # flags: --config-file tmp/mypy.ini from typing import Callable, TypeVar f: Callable[[], None] T = TypeVar('T') def g(x: T) -> T: return x # This strips out the name of a callable g(f)() [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/fnplugin.py [case testFunctionPluginFullnameIsNotNonePyProjectTOML] # flags: --config-file tmp/pyproject.toml from typing import Callable, TypeVar f: Callable[[], None] T = TypeVar('T') def g(x: T) -> T: return x # This strips out the name of a callable g(f)() [file pyproject.toml] \[tool.mypy] plugins="/test-data/unit/plugins/fnplugin.py" [case testTwoPlugins] # flags: --config-file tmp/mypy.ini def f(): ... def g(): ... def h(): ... reveal_type(f()) # N: Revealed type is "builtins.int" reveal_type(g()) # N: Revealed type is "builtins.str" reveal_type(h()) # N: Revealed type is "Any" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/fnplugin.py, /test-data/unit/plugins/plugin2.py [case testTwoPluginsPyProjectTOML] # flags: --config-file tmp/pyproject.toml def f(): ... def g(): ... def h(): ... reveal_type(f()) # N: Revealed type is "builtins.int" reveal_type(g()) # N: Revealed type is "builtins.str" reveal_type(h()) # N: Revealed type is "Any" [file pyproject.toml] \[tool.mypy] plugins=['/test-data/unit/plugins/fnplugin.py', '/test-data/unit/plugins/plugin2.py' ] [case testTwoPluginsMixedType] # flags: --config-file tmp/mypy.ini def f(): ... def g(): ... def h(): ... reveal_type(f()) # N: Revealed type is "builtins.int" reveal_type(g()) # N: Revealed type is "builtins.str" reveal_type(h()) # N: Revealed type is "Any" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/fnplugin.py, plugin2 [case testTwoPluginsMixedTypePyProjectTOML] # flags: --config-file tmp/pyproject.toml def f(): ... def g(): ... def h(): ... reveal_type(f()) # N: Revealed type is "builtins.int" reveal_type(g()) # N: Revealed type is "builtins.str" reveal_type(h()) # N: Revealed type is "Any" [file pyproject.toml] \[tool.mypy] plugins=['/test-data/unit/plugins/fnplugin.py', 'plugin2'] [case testMissingPluginFile] # flags: --config-file tmp/mypy.ini [file mypy.ini] \[mypy] plugins=missing.py [out] tmp/mypy.ini:2: error: Can't find plugin "tmp/missing.py" --' (work around syntax highlighting) [case testMissingPlugin] # flags: --config-file tmp/mypy.ini [file mypy.ini] \[mypy] plugins=missing [out] tmp/mypy.ini:2: error: Error importing plugin "missing": No module named 'missing' [case testMultipleSectionsDefinePlugin] # flags: --config-file tmp/mypy.ini [file mypy.ini] \[acme] plugins=acmeplugin \[mypy] plugins=missing.py \[another] plugins=another_plugin [out] tmp/mypy.ini:4: error: Can't find plugin "tmp/missing.py" --' (work around syntax highlighting) [case testInvalidPluginExtension] # flags: --config-file tmp/mypy.ini [file mypy.ini] \[mypy] plugins=dir/badext.pyi [file dir/badext.pyi] [out] tmp/mypy.ini:2: error: Plugin "badext.pyi" does not have a .py extension [case testMissingPluginEntryPoint] # flags: --config-file tmp/mypy.ini [file mypy.ini] \[mypy] plugins = /test-data/unit/plugins/noentry.py [out] tmp/mypy.ini:2: error: Plugin "/test-data/unit/plugins/noentry.py" does not define entry point function "plugin" [case testCustomPluginEntryPointFile] # flags: --config-file tmp/mypy.ini def f() -> str: ... reveal_type(f()) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/customentry.py:register [case testCustomPluginEntryPointFileTrailingComma] # flags: --config-file tmp/mypy.ini def f() -> str: ... reveal_type(f()) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins = /test-data/unit/plugins/customentry.py:register, [case testCustomPluginEntryPoint] # flags: --config-file tmp/mypy.ini def f() -> str: ... reveal_type(f()) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=customentry:register [case testInvalidPluginEntryPointReturnValue] # flags: --config-file tmp/mypy.ini def f(): pass f() [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/badreturn.py [out] tmp/mypy.ini:3: error: Type object expected as the return value of "plugin"; got None (in /test-data/unit/plugins/badreturn.py) [case testInvalidPluginEntryPointReturnValue2] # flags: --config-file tmp/mypy.ini def f(): pass f() [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/badreturn2.py [out] tmp/mypy.ini:2: error: Return value of "plugin" must be a subclass of "mypy.plugin.Plugin" (in /test-data/unit/plugins/badreturn2.py) [case testAttributeTypeHookPlugin] # flags: --config-file tmp/mypy.ini from typing import Callable from m import Signal, DerivedSignal s: Signal[Callable[[int], None]] = Signal() s(1) s('') # E: Argument 1 has incompatible type "str"; expected "int" ds: DerivedSignal[Callable[[int], None]] = DerivedSignal() ds('') # E: Argument 1 has incompatible type "str"; expected "int" [file m.py] from typing import TypeVar, Generic, Callable T = TypeVar('T', bound=Callable[..., None]) class Signal(Generic[T]): __call__: Callable[..., None] # This type is replaced by the plugin class DerivedSignal(Signal[T]): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/attrhook.py [case testAttributeTypeHookPluginUntypedDecoratedGetattr] # flags: --config-file tmp/mypy.ini from m import Magic, DerivedMagic magic = Magic() reveal_type(magic.magic_field) # N: Revealed type is "builtins.str" reveal_type(magic.non_magic_method()) # N: Revealed type is "builtins.int" reveal_type(magic.non_magic_field) # N: Revealed type is "builtins.int" magic.nonexistent_field # E: Field does not exist reveal_type(magic.fallback_example) # N: Revealed type is "Any" reveal_type(magic.no_assignment_field) # N: Revealed type is "builtins.float" magic.no_assignment_field = "bad" # E: Cannot assign to field derived = DerivedMagic() reveal_type(derived.magic_field) # N: Revealed type is "builtins.str" derived.nonexistent_field # E: Field does not exist reveal_type(derived.fallback_example) # N: Revealed type is "Any" [file m.py] from typing import Any, Callable def decorator(f): pass class Magic: # Triggers plugin infrastructure: @decorator def __getattr__(self, x: Any) -> Any: ... def non_magic_method(self) -> int: ... non_magic_field: int no_assignment_field: float class DerivedMagic(Magic): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/attrhook2.py [case testAttributeTypeHookPluginDecoratedGetattr] # flags: --config-file tmp/mypy.ini from m import Magic, DerivedMagic magic = Magic() reveal_type(magic.magic_field) # N: Revealed type is "builtins.str" reveal_type(magic.non_magic_method()) # N: Revealed type is "builtins.int" reveal_type(magic.non_magic_field) # N: Revealed type is "builtins.int" magic.nonexistent_field # E: Field does not exist reveal_type(magic.fallback_example) # N: Revealed type is "builtins.bool" derived = DerivedMagic() reveal_type(derived.magic_field) # N: Revealed type is "builtins.str" derived.nonexistent_field # E: Field does not exist reveal_type(derived.fallback_example) # N: Revealed type is "builtins.bool" [file m.py] from typing import Any, Callable def decorator(f: Callable) -> Callable[[Any, str], bool]: pass class Magic: # Triggers plugin infrastructure: @decorator def __getattr__(self, x: Any) -> Any: ... def non_magic_method(self) -> int: ... non_magic_field: int class DerivedMagic(Magic): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/attrhook2.py [case testAttributeHookPluginForDynamicClass] # flags: --config-file tmp/mypy.ini from m import Magic, DerivedMagic magic = Magic() reveal_type(magic.magic_field) # N: Revealed type is "builtins.str" reveal_type(magic.non_magic_method()) # N: Revealed type is "builtins.int" reveal_type(magic.non_magic_field) # N: Revealed type is "builtins.int" magic.nonexistent_field # E: Field does not exist reveal_type(magic.fallback_example) # N: Revealed type is "Any" derived = DerivedMagic() reveal_type(derived.magic_field) # N: Revealed type is "builtins.str" derived.nonexistent_field # E: Field does not exist reveal_type(magic.fallback_example) # N: Revealed type is "Any" [file m.py] from typing import Any class Magic: # Triggers plugin infrastructure: def __getattr__(self, x: Any) -> Any: ... def non_magic_method(self) -> int: ... non_magic_field: int class DerivedMagic(Magic): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/attrhook2.py [case testTypeAnalyzeHookPlugin] # flags: --config-file tmp/mypy.ini from typing import Callable from mypy_extensions import DefaultArg from m import Signal s: Signal[[int, DefaultArg(str, 'x')]] = Signal() reveal_type(s) # N: Revealed type is "m.Signal[def (builtins.int, x: builtins.str =)]" s.x # E: "Signal[Callable[[int, str], None]]" has no attribute "x" ss: Signal[int, str] # E: Invalid "Signal" type (expected "Signal[[t, ...]]") [file m.py] from typing import TypeVar, Generic, Callable T = TypeVar('T', bound=Callable[..., None]) class Signal(Generic[T]): __call__: Callable[..., None] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/type_anal_hook.py [builtins fixtures/dict.pyi] [case testFunctionPluginHookForClass] # flags: --config-file tmp/mypy.ini import mod from mod import AttrInt Alias = AttrInt AnotherAlias = mod.Attr class C: x = Alias() y = mod.AttrInt(required=True) z = AnotherAlias(int, required=False) c = C() reveal_type(c.x) # N: Revealed type is "Union[builtins.int, None]" reveal_type(c.y) # N: Revealed type is "builtins.int" reveal_type(c.z) # N: Revealed type is "Union[builtins.int, None]" [file mod.py] from typing import Generic, TypeVar, Type T = TypeVar('T') class Attr(Generic[T]): def __init__(self, tp: Type[T], required: bool = False) -> None: pass def __get__(self, instance: object, owner: type) -> T: pass class AttrInt(Attr[int]): def __init__(self, required: bool = False) -> None: pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/class_callable.py [builtins fixtures/bool.pyi] [out] [case testFunctionPluginHookForReturnedCallable] # flags: --config-file tmp/mypy.ini from m import decorator1, decorator2 @decorator1() def f() -> None: pass @decorator2() def g() -> None: pass reveal_type(f) # N: Revealed type is "def (*Any, **Any) -> builtins.str" reveal_type(g) # N: Revealed type is "def (*Any, **Any) -> builtins.int" [file m.py] from typing import Callable def decorator1() -> Callable[..., Callable[..., int]]: pass def decorator2() -> Callable[..., Callable[..., int]]: pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/named_callable.py [case testFunctionMethodContextsHasArgNames] # flags: --config-file tmp/mypy.ini from mod import Class, func reveal_type(Class().method(arg1=1, arg2=2, classname='builtins.str')) # N: Revealed type is "builtins.str" reveal_type(Class.myclassmethod(arg1=1, arg2=2, classname='builtins.str')) # N: Revealed type is "builtins.str" reveal_type(Class.mystaticmethod(arg1=1, arg2=2, classname='builtins.str')) # N: Revealed type is "builtins.str" reveal_type(Class.method(self=Class(), arg1=1, arg2=2, classname='builtins.str')) # N: Revealed type is "builtins.str" reveal_type(func(arg1=1, arg2=2, classname='builtins.str')) # N: Revealed type is "builtins.str" [file mod.py] from typing import Any class Class: def method(self, classname: str, arg1: Any, arg2: Any) -> Any: pass @classmethod def myclassmethod(cls, classname: str, arg1: Any, arg2: Any): pass @staticmethod def mystaticmethod(classname: str, arg1: Any, arg2: Any): pass def func(classname: str, arg1: Any, arg2: Any) -> Any: pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/arg_names.py [builtins fixtures/classmethod.pyi] [case testFunctionMethodContextsHasArgNamesPositionals] # flags: --config-file tmp/mypy.ini from mod import Class, func reveal_type(Class().method('builtins.str', arg1=1, arg2=2)) # N: Revealed type is "builtins.str" reveal_type(Class.myclassmethod('builtins.str', arg1=1, arg2=2)) # N: Revealed type is "builtins.str" reveal_type(Class.mystaticmethod('builtins.str', arg1=1, arg2=2)) # N: Revealed type is "builtins.str" reveal_type(Class.method(Class(), 'builtins.str', arg1=1, arg2=2)) # N: Revealed type is "builtins.str" reveal_type(func('builtins.str', arg1=1, arg2=2)) # N: Revealed type is "builtins.str" [file mod.py] from typing import Any class Class: def method(self, classname: str, arg1: Any, arg2: Any) -> Any: pass @classmethod def myclassmethod(cls, classname: str, arg1: Any, arg2: Any): pass @staticmethod def mystaticmethod(classname: str, arg1: Any, arg2: Any): pass def func(classname: str, arg1: Any, arg2: Any) -> Any: pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/arg_names.py [builtins fixtures/classmethod.pyi] [case testFunctionMethodContextsHasArgNamesInitMethod] # flags: --config-file tmp/mypy.ini from mod import ClassInit, Outer reveal_type(ClassInit('builtins.str')) # N: Revealed type is "builtins.str" reveal_type(ClassInit(classname='builtins.str')) # N: Revealed type is "builtins.str" reveal_type(Outer.NestedClassInit(classname='builtins.str')) # N: Revealed type is "builtins.str" [file mod.py] from typing import Any class ClassInit: def __init__(self, classname: str): pass class Outer: class NestedClassInit: def __init__(self, classname: str): pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/arg_names.py [case testFunctionMethodContextsHasArgNamesUnfilledArguments] # flags: --config-file tmp/mypy.ini from mod import ClassUnfilled, func_unfilled reveal_type(ClassUnfilled().method(classname='builtins.str', arg1=1)) # N: Revealed type is "builtins.str" reveal_type(ClassUnfilled().method(arg2=1, classname='builtins.str')) # N: Revealed type is "builtins.str" reveal_type(ClassUnfilled().method('builtins.str')) # N: Revealed type is "builtins.str" reveal_type(func_unfilled(classname='builtins.str', arg1=1)) # N: Revealed type is "builtins.str" reveal_type(func_unfilled(arg2=1, classname='builtins.str')) # N: Revealed type is "builtins.str" reveal_type(func_unfilled('builtins.str')) # N: Revealed type is "builtins.str" [file mod.py] from typing import Any class ClassUnfilled: def method(self, classname: str, arg1: Any = None, arg2: Any = None) -> Any: pass def func_unfilled(classname: str, arg1: Any = None, arg2: Any = None) -> Any: pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/arg_names.py [case testFunctionMethodContextsHasArgNamesStarExpressions] # flags: --config-file tmp/mypy.ini from mod import ClassStarExpr, func_star_expr reveal_type(ClassStarExpr().method(classname='builtins.str', arg1=1)) # N: Revealed type is "builtins.str" reveal_type(ClassStarExpr().method('builtins.str', arg1=1)) # N: Revealed type is "builtins.str" reveal_type(ClassStarExpr().method('builtins.str', arg1=1, arg2=1)) # N: Revealed type is "builtins.str" reveal_type(ClassStarExpr().method('builtins.str', 2, 3, 4, arg1=1, arg2=1)) # N: Revealed type is "builtins.str" reveal_type(func_star_expr(classname='builtins.str', arg1=1)) # N: Revealed type is "builtins.str" reveal_type(func_star_expr('builtins.str', arg1=1)) # N: Revealed type is "builtins.str" reveal_type(func_star_expr('builtins.str', 2, 3, 4, arg1=1, arg2=2)) # N: Revealed type is "builtins.str" [file mod.py] from typing import Any class ClassStarExpr: def method(self, classname: str, *args, **kwargs) -> Any: pass def func_star_expr(classname: str, *args, **kwargs) -> Any: pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/arg_names.py [builtins fixtures/dict.pyi] [case testFunctionMethodContextArgNamesForInheritedMethods] # flags: --config-file tmp/mypy.ini from mod import ClassChild reveal_type(ClassChild().method(classname='builtins.str', arg1=1, arg2=1)) # N: Revealed type is "builtins.str" reveal_type(ClassChild().method(arg1=1, classname='builtins.str', arg2=1)) # N: Revealed type is "builtins.str" reveal_type(ClassChild().method('builtins.str', arg1=1, arg2=1)) # N: Revealed type is "builtins.str" reveal_type(ClassChild.myclassmethod('builtins.str')) # N: Revealed type is "builtins.str" [file mod.py] from typing import Any class Base: def method(self, classname: str, arg1: Any, arg2: Any) -> Any: pass @classmethod def myclassmethod(cls, classname: str) -> Any: pass class ClassChild(Base): pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/arg_names.py [builtins fixtures/classmethod.pyi] [case testMethodSignatureHook] # flags: --config-file tmp/mypy.ini from typing import Iterator class Foo: # Test that method signature hooks are applied in various cases: explicit method calls, and # implicit dunder method calls through language syntax. # The plugin's method signature hook should turn all str occurrences into int. def __init__(self) -> None: ... def __getitem__(self, index: str) -> str: ... def __setitem__(self, index: str, value: str) -> None: ... def __iter__(self) -> Iterator[str]: ... def __next__(self) -> str: ... def __call__(self, *args: str) -> str: ... def m(self, arg: str) -> str: ... foo = Foo() reveal_type(foo.m(2)) # N: Revealed type is "builtins.int" reveal_type(foo[3]) # N: Revealed type is "builtins.int" reveal_type(foo(4, 5, 6)) # N: Revealed type is "builtins.int" foo[4] = 5 for x in foo: reveal_type(x) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/method_sig_hook.py [builtins fixtures/tuple.pyi] [case testMethodSignatureHookNamesFullyQualified] # flags: --config-file tmp/mypy.ini from typing import NamedTuple, TypedDict class FullyQualifiedTestClass: @classmethod def class_method(self) -> str: ... def instance_method(self) -> str: ... class FullyQualifiedTestTypedDict(TypedDict): foo: str FullyQualifiedTestNamedTuple = NamedTuple('FullyQualifiedTestNamedTuple', [('foo', str)]) # Check the return types to ensure that the method signature hook is called in each case reveal_type(FullyQualifiedTestClass.class_method()) # N: Revealed type is "builtins.int" reveal_type(FullyQualifiedTestClass().instance_method()) # N: Revealed type is "builtins.int" reveal_type(FullyQualifiedTestNamedTuple('')._asdict()) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/fully_qualified_test_hook.py [builtins fixtures/classmethod.pyi] [typing fixtures/typing-typeddict.pyi] [case testDynamicClassPlugin] # flags: --config-file tmp/mypy.ini from mod import declarative_base, Column, Instr Base = declarative_base() class Model(Base): x: Column[int] class Other: x: Column[int] reveal_type(Model().x) # N: Revealed type is "mod.Instr[builtins.int]" reveal_type(Other().x) # N: Revealed type is "mod.Column[builtins.int]" [file mod.py] from typing import Generic, TypeVar def declarative_base(): ... T = TypeVar('T') class Column(Generic[T]): ... class Instr(Generic[T]): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/dyn_class.py [case testDynamicClassPluginChainCall] # flags: --config-file tmp/mypy.ini from mod import declarative_base, Column, Instr Base = declarative_base().with_optional_xxx() class Model(Base): x: Column[int] reveal_type(Model().x) # N: Revealed type is "mod.Instr[builtins.int]" [file mod.py] from typing import Generic, TypeVar class Base: def with_optional_xxx(self) -> Base: ... def declarative_base() -> Base: ... T = TypeVar('T') class Column(Generic[T]): ... class Instr(Generic[T]): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/dyn_class.py [case testDynamicClassPluginChainedAssignment] # flags: --config-file tmp/mypy.ini from mod import declarative_base Base1 = Base2 = declarative_base() class C1(Base1): ... class C2(Base2): ... [file mod.py] def declarative_base(): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/dyn_class.py [case testDynamicClassPluginNegatives] # flags: --config-file tmp/mypy.ini from mod import non_declarative_base Bad1 = non_declarative_base() class C1(Bad1): ... # E: Variable "__main__.Bad1" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases \ # E: Invalid base class "Bad1" [file mod.py] def non_declarative_base(): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/dyn_class.py [case testDynamicClassHookFromClassMethod] # flags: --config-file tmp/mypy.ini from mod import QuerySet, Manager, GenericQuerySet MyManager = Manager.from_queryset(QuerySet) ManagerFromGenericQuerySet = GenericQuerySet[int].as_manager() reveal_type(MyManager()) # N: Revealed type is "__main__.MyManager" reveal_type(MyManager().attr) # N: Revealed type is "builtins.str" reveal_type(ManagerFromGenericQuerySet()) # N: Revealed type is "__main__.ManagerFromGenericQuerySet" reveal_type(ManagerFromGenericQuerySet().attr) # N: Revealed type is "builtins.int" queryset: GenericQuerySet[int] = ManagerFromGenericQuerySet() def func(manager: MyManager) -> None: reveal_type(manager) # N: Revealed type is "__main__.MyManager" reveal_type(manager.attr) # N: Revealed type is "builtins.str" func(MyManager()) [file mod.py] from typing import Generic, TypeVar, Type class QuerySet: attr: str class Manager: @classmethod def from_queryset(cls, queryset_cls: Type[QuerySet]): ... T = TypeVar("T") class GenericQuerySet(Generic[T]): attr: T @classmethod def as_manager(cls): ... [builtins fixtures/classmethod.pyi] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/dyn_class_from_method.py [case testBaseClassPluginHookWorksIncremental] # flags: --config-file tmp/mypy.ini import a [file a.py] from base import Base class C(Base): ... [file a.py.2] from base import Base class C(Base): ... reveal_type(C().__magic__) Base.__magic__ [file base.py] from lib import declarative_base Base = declarative_base() [file lib.py] from typing import Any def declarative_base() -> Any: ... [file mypy.ini] \[mypy] python_version=3.6 plugins=/test-data/unit/plugins/common_api_incremental.py [out] [out2] tmp/a.py:3: note: Revealed type is "builtins.str" tmp/a.py:4: error: "type[Base]" has no attribute "__magic__" [case testArgKindsMethod] # flags: --config-file tmp/mypy.ini class Class: def method(self, *args, **kwargs): pass Class().method(1, *[2], **{'a': 1}) # E: [[0, 2], [4]] [builtins fixtures/dict.pyi] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/arg_kinds.py [case testArgKindsFunction] # flags: --config-file tmp/mypy.ini def func(*args, **kwargs): pass func(1, 2, [3, 4], *[5, 6, 7], **{'a': 1}) # E: [[0, 0, 0, 2], [4]] [builtins fixtures/dict.pyi] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/arg_kinds.py [case testHookCallableInstance] # flags: --config-file tmp/mypy.ini from typing import Generic, TypeVar T = TypeVar("T") class Class(Generic[T]): def __init__(self, one: T): ... def __call__(self, two: T) -> int: ... reveal_type(Class("hi")("there")) # N: Revealed type is "builtins.str" instance = Class(3.14) reveal_type(instance(2)) # N: Revealed type is "builtins.float" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/callable_instance.py [case testGetMethodHooksOnUnions] # flags: --config-file tmp/mypy.ini --no-strict-optional from typing import Union class Foo: def meth(self, x: str) -> str: ... class Bar: def meth(self, x: int) -> float: ... class Other: meth: int x: Union[Foo, Bar, Other] if isinstance(x.meth, int): reveal_type(x.meth) # N: Revealed type is "builtins.int" else: reveal_type(x.meth(int())) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/union_method.py [case testGetMethodHooksOnUnionsStrictOptional] # flags: --config-file tmp/mypy.ini from typing import Union class Foo: def meth(self, x: str) -> str: ... class Bar: def meth(self, x: int) -> float: ... class Other: meth: int x: Union[Foo, Bar, Other] if isinstance(x.meth, int): reveal_type(x.meth) # N: Revealed type is "builtins.int" else: reveal_type(x.meth(int())) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/union_method.py [case testGetMethodHooksOnUnionsSpecial] # flags: --config-file tmp/mypy.ini from typing import Union class Foo: def __getitem__(self, x: str) -> str: ... class Bar: def __getitem__(self, x: int) -> float: ... x: Union[Foo, Bar] reveal_type(x[int()]) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/union_method.py [case testPluginDependencies] # flags: --config-file tmp/mypy.ini # The top level file here doesn't do anything, but the plugin should add # a dependency on err that will cause err to be processed and an error reported. [file err.py] 1 + 'lol' # E: Unsupported operand types for + ("int" and "str") [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/depshook.py [case testCustomizeMroTrivial] # flags: --config-file tmp/mypy.ini class A: pass [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/customize_mro.py [case testDescriptorMethods] # flags: --config-file tmp/mypy.ini class Desc: def __get__(self, obj, cls): pass def __set__(self, obj, val): pass class Cls: attr = Desc() reveal_type(Cls().attr) # N: Revealed type is "builtins.int" reveal_type(Cls.attr) # N: Revealed type is "builtins.str" Cls().attr = 3 Cls().attr = "foo" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/descriptor.py [case testFunctionSigPluginFile] # flags: --config-file tmp/mypy.ini def dynamic_signature(arg1: str) -> str: ... a: int = 1 reveal_type(dynamic_signature(a)) # N: Revealed type is "builtins.int" b: bytes = b'foo' reveal_type(dynamic_signature(b)) # N: Revealed type is "builtins.bytes" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/function_sig_hook.py [case testPluginCalledCorrectlyWhenMethodInDecorator] # flags: --config-file tmp/mypy.ini from typing import TypeVar, Callable T = TypeVar('T') class Foo: def a(self, x: Callable[[], T]) -> Callable[[], T]: ... b = Foo() @b.a def f() -> None: pass reveal_type(f()) # N: Revealed type is "builtins.str" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/method_in_decorator.py [case testClassAttrPluginClassVar] # flags: --config-file tmp/mypy.ini from typing import Type class Cls: attr = 'test' unchanged = 'test' reveal_type(Cls().attr) # N: Revealed type is "builtins.str" reveal_type(Cls.attr) # N: Revealed type is "builtins.int" reveal_type(Cls.unchanged) # N: Revealed type is "builtins.str" x: Type[Cls] reveal_type(x.attr) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/class_attr_hook.py [case testClassAttrPluginMethod] # flags: --config-file tmp/mypy.ini class Cls: def attr(self) -> None: pass reveal_type(Cls.attr) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/class_attr_hook.py [case testClassAttrPluginEnum] # flags: --config-file tmp/mypy.ini import enum class Cls(enum.Enum): attr = 'test' reveal_type(Cls.attr) # N: Revealed type is "builtins.int" [builtins fixtures/enum.pyi] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/class_attr_hook.py [case testClassAttrPluginMetaclassAnyBase] # flags: --config-file tmp/mypy.ini from typing import Any, Type class M(type): attr = 'test' B: Any class Cls(B, metaclass=M): pass reveal_type(Cls.attr) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/class_attr_hook.py [case testClassAttrPluginMetaclassRegularBase] # flags: --config-file tmp/mypy.ini from typing import Any, Type class M(type): attr = 'test' class B: attr = None class Cls(B, metaclass=M): pass reveal_type(Cls.attr) # N: Revealed type is "builtins.int" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/class_attr_hook.py [case testClassAttrPluginPartialType] # flags: --config-file tmp/mypy.ini --no-local-partial-types class Cls: attr = None def f(self) -> int: return Cls.attr + 1 [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/class_attr_hook.py [case testAddClassMethodPlugin] # flags: --config-file tmp/mypy.ini class BaseAddMethod: pass class MyClass(BaseAddMethod): pass reveal_type(MyClass.foo_classmethod) # N: Revealed type is "def ()" reveal_type(MyClass.foo_staticmethod) # N: Revealed type is "def (builtins.int) -> builtins.str" my_class = MyClass() reveal_type(my_class.foo_classmethod) # N: Revealed type is "def ()" reveal_type(my_class.foo_staticmethod) # N: Revealed type is "def (builtins.int) -> builtins.str" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/add_classmethod.py [case testAddOverloadedMethodPlugin] # flags: --config-file tmp/mypy.ini class AddOverloadedMethod: pass class MyClass(AddOverloadedMethod): pass reveal_type(MyClass.method) # N: Revealed type is "Overload(def (self: __main__.MyClass, arg: builtins.int) -> builtins.str, def (self: __main__.MyClass, arg: builtins.str) -> builtins.int)" reveal_type(MyClass.clsmethod) # N: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" reveal_type(MyClass.stmethod) # N: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" my_class = MyClass() reveal_type(my_class.method) # N: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" reveal_type(my_class.clsmethod) # N: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" reveal_type(my_class.stmethod) # N: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/add_overloaded_method.py [case testAddMethodPluginExplicitOverride] # flags: --python-version 3.12 --config-file tmp/mypy.ini from typing import override, TypeVar T = TypeVar('T', bound=type) def inject_foo(t: T) -> T: # Imitates: # t.foo_implicit = some_method return t class BaseWithoutFoo: pass @inject_foo class ChildWithFoo(BaseWithoutFoo): pass reveal_type(ChildWithFoo.foo_implicit) # N: Revealed type is "def (self: __main__.ChildWithFoo)" @inject_foo class SomeWithFoo(ChildWithFoo): pass reveal_type(SomeWithFoo.foo_implicit) # N: Revealed type is "def (self: __main__.SomeWithFoo)" class ExplicitOverride(SomeWithFoo): @override def foo_implicit(self) -> None: pass class ImplicitOverride(SomeWithFoo): def foo_implicit(self) -> None: pass # E: Method "foo_implicit" is not using @override but is overriding a method in class "__main__.SomeWithFoo" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/add_method.py enable_error_code = explicit-override [typing fixtures/typing-override.pyi] [case testCustomErrorCodePlugin] # flags: --config-file tmp/mypy.ini --show-error-codes def main() -> int: return 2 main() # E: Custom error [custom] reveal_type(1) # N: Revealed type is "Literal[1]?" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/custom_errorcode.py [case testPyprojectPluginsTrailingComma] # flags: --config-file tmp/pyproject.toml [file pyproject.toml] # This test checks that trailing commas in string-based `plugins` are allowed. \[tool.mypy] plugins = """ /test-data/unit/plugins/function_sig_hook.py, /test-data/unit/plugins/method_in_decorator.py, """ [out] [case magicMethodReverse] # flags: --config-file tmp/mypy.ini from typing import Literal op1: Literal[3] = 3 op2: Literal[4] = 4 c = op1 + op2 reveal_type(c) # N: Revealed type is "Literal[7]" [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/magic_method.py [builtins fixtures/ops.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-dataclass-transform.test0000644000175100017510000007405515112307767023063 0ustar00runnerrunner[case testDataclassTransformReusesDataclassLogic] # flags: --python-version 3.11 from typing import dataclass_transform, Type @dataclass_transform() def my_dataclass(cls: Type) -> Type: return cls @my_dataclass class Person: name: str age: int def summary(self): return "%s is %d years old." % (self.name, self.age) reveal_type(Person) # N: Revealed type is "def (name: builtins.str, age: builtins.int) -> __main__.Person" Person('John', 32) Person('Jonh', 21, None) # E: Too many arguments for "Person" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformIsFoundInTypingExtensions] from typing import Type from typing_extensions import dataclass_transform @dataclass_transform() def my_dataclass(cls: Type) -> Type: return cls @my_dataclass class Person: name: str age: int def summary(self): return "%s is %d years old." % (self.name, self.age) reveal_type(Person) # N: Revealed type is "def (name: builtins.str, age: builtins.int) -> __main__.Person" Person('John', 32) Person('Jonh', 21, None) # E: Too many arguments for "Person" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformParametersAreApplied] # flags: --python-version 3.11 from typing import dataclass_transform, Callable, Type @dataclass_transform() def my_dataclass(*, eq: bool, order: bool) -> Callable[[Type], Type]: def transform(cls: Type) -> Type: return cls return transform @my_dataclass(eq=False, order=True) # E: "eq" must be True if "order" is True class Person: name: str age: int reveal_type(Person) # N: Revealed type is "def (name: builtins.str, age: builtins.int) -> __main__.Person" Person('John', 32) Person('John', 21, None) # E: Too many arguments for "Person" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformParametersMustBeBoolLiterals] # flags: --python-version 3.11 from typing import dataclass_transform, Callable, Type @dataclass_transform() def my_dataclass(*, eq: bool = True, order: bool = False) -> Callable[[Type], Type]: def transform(cls: Type) -> Type: return cls return transform @dataclass_transform() class BaseClass: def __init_subclass__(cls, *, eq: bool): ... @dataclass_transform() class Metaclass(type): ... BOOL_CONSTANT = True @my_dataclass(eq=BOOL_CONSTANT) # E: "eq" argument must be a True or False literal class A: ... @my_dataclass(order=not False) # E: "order" argument must be a True or False literal class B: ... class C(BaseClass, eq=BOOL_CONSTANT): ... # E: "eq" argument must be a True or False literal class D(metaclass=Metaclass, order=not False): ... # E: "order" argument must be a True or False literal [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformDefaultParamsMustBeLiterals] # flags: --python-version 3.11 from typing import dataclass_transform, Type, Final BOOLEAN_CONSTANT = True FINAL_BOOLEAN: Final = True @dataclass_transform(eq_default=BOOLEAN_CONSTANT) # E: "eq_default" argument must be a True or False literal def foo(cls: Type) -> Type: return cls @dataclass_transform(eq_default=(not True)) # E: "eq_default" argument must be a True or False literal def bar(cls: Type) -> Type: return cls @dataclass_transform(eq_default=FINAL_BOOLEAN) # E: "eq_default" argument must be a True or False literal def baz(cls: Type) -> Type: return cls [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformUnrecognizedParamsAreErrors] # flags: --python-version 3.11 from typing import dataclass_transform, Type BOOLEAN_CONSTANT = True @dataclass_transform(nonexistent=True) # E: Unrecognized dataclass_transform parameter "nonexistent" def foo(cls: Type) -> Type: return cls [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformDefaultParams] # flags: --python-version 3.11 from typing import dataclass_transform, Type, Callable @dataclass_transform(eq_default=False) def no_eq(*, order: bool = False) -> Callable[[Type], Type]: return lambda cls: cls @no_eq() class Foo: ... @no_eq(order=True) # E: "eq" must be True if "order" is True class Bar: ... @dataclass_transform(kw_only_default=True) def always_use_kw(cls: Type) -> Type: return cls @always_use_kw class Baz: x: int Baz(x=5) Baz(5) # E: Too many positional arguments for "Baz" @dataclass_transform(order_default=True) def ordered(*, eq: bool = True) -> Callable[[Type], Type]: return lambda cls: cls @ordered() class A: x: int A(1) > A(2) @dataclass_transform(frozen_default=True) def frozen(cls: Type) -> Type: return cls @frozen class B: x: int b = B(x=1) b.x = 2 # E: Property "x" defined in "B" is read-only [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformDefaultsCanBeOverridden] # flags: --python-version 3.11 from typing import dataclass_transform, Callable, Type @dataclass_transform(kw_only_default=True) def my_dataclass(*, kw_only: bool = True) -> Callable[[Type], Type]: return lambda cls: cls @my_dataclass() class KwOnly: x: int @my_dataclass(kw_only=False) class KwOptional: x: int KwOnly(5) # E: Too many positional arguments for "KwOnly" KwOptional(5) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformFieldSpecifiersDefaultsToEmpty] # flags: --python-version 3.11 from dataclasses import field, dataclass from typing import dataclass_transform, Type @dataclass_transform() def my_dataclass(cls: Type) -> Type: return cls @my_dataclass class Foo: foo: int = field(kw_only=True) # Does not cause a type error because `dataclasses.field` is not a recognized field specifier by # default Foo(5) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformFieldSpecifierRejectMalformed] # flags: --python-version 3.11 from typing import dataclass_transform, Any, Callable, Final, Type def some_type() -> Type: ... def some_function() -> Callable[[], None]: ... def field(*args, **kwargs): ... def fields_tuple() -> tuple[type | Callable[..., Any], ...]: return (field,) CONSTANT: Final = (field,) @dataclass_transform(field_specifiers=(some_type(),)) # E: "field_specifiers" must only contain identifiers def bad_dataclass1() -> None: ... @dataclass_transform(field_specifiers=(some_function(),)) # E: "field_specifiers" must only contain identifiers def bad_dataclass2() -> None: ... @dataclass_transform(field_specifiers=CONSTANT) # E: "field_specifiers" argument must be a tuple literal def bad_dataclass3() -> None: ... @dataclass_transform(field_specifiers=fields_tuple()) # E: "field_specifiers" argument must be a tuple literal def bad_dataclass4() -> None: ... [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformFieldSpecifierParams] # flags: --python-version 3.11 from typing import dataclass_transform, Any, Callable, Type, Final def field( *, init: bool = True, kw_only: bool = False, alias: str | None = None, default: Any | None = None, default_factory: Callable[[], Any] | None = None, factory: Callable[[], Any] | None = None, ): ... @dataclass_transform(field_specifiers=(field,)) def my_dataclass(cls: Type) -> Type: return cls B: Final = 'b_' @my_dataclass class Foo: a: int = field(alias='a_') b: int = field(alias=B) # cannot be passed as a positional kwonly: int = field(kw_only=True, default=0) # Safe to omit from constructor, error to pass noinit: int = field(init=False, default=1) # It should be safe to call the constructor without passing any of these unused1: int = field(default=0) unused2: int = field(factory=lambda: 0) unused3: int = field(default_factory=lambda: 0) Foo(a=5, b_=1) # E: Unexpected keyword argument "a" for "Foo" Foo(a_=1, b_=1, noinit=1) # E: Unexpected keyword argument "noinit" for "Foo" Foo(1, 2, 3) # (a, b, unused1) foo = Foo(1, 2, kwonly=3) reveal_type(foo.noinit) # N: Revealed type is "builtins.int" reveal_type(foo.unused1) # N: Revealed type is "builtins.int" Foo(a_=5, b_=1, unused1=2, unused2=3, unused3=4) def some_str() -> str: ... def some_bool() -> bool: ... @my_dataclass class Bad: bad1: int = field(alias=some_str()) # E: "alias" argument to dataclass field must be a string literal bad2: int = field(kw_only=some_bool()) # E: "kw_only" argument must be a boolean literal reveal_type(Foo.__dataclass_fields__) # N: Revealed type is "builtins.dict[builtins.str, Any]" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformFieldSpecifierExtraArgs] # flags: --python-version 3.11 from typing import dataclass_transform def field(extra1, *, kw_only=False, extra2=0): ... @dataclass_transform(field_specifiers=(field,)) def my_dataclass(cls): return cls @my_dataclass class Good: a: int = field(5) b: int = field(5, extra2=1) c: int = field(5, kw_only=True) @my_dataclass class Bad: a: int = field(kw_only=True) # E: Missing positional argument "extra1" in call to "field" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformMultipleFieldSpecifiers] # flags: --python-version 3.11 from typing import dataclass_transform def field1(*, default: int) -> int: ... def field2(*, default: str) -> str: ... @dataclass_transform(field_specifiers=(field1, field2)) def my_dataclass(cls): return cls @my_dataclass class Foo: a: int = field1(default=0) b: str = field2(default='hello') reveal_type(Foo) # N: Revealed type is "def (a: builtins.int =, b: builtins.str =) -> __main__.Foo" Foo() Foo(a=1, b='bye') [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformFieldSpecifierImplicitInit] # flags: --python-version 3.11 from typing import dataclass_transform, Literal, overload def init(*, init: Literal[True] = True): ... def no_init(*, init: Literal[False] = False): ... @overload def field_overload(*, custom: None, init: Literal[True] = True): ... @overload def field_overload(*, custom: str, init: Literal[False] = False): ... def field_overload(*, custom, init): ... @dataclass_transform(field_specifiers=(init, no_init, field_overload)) def my_dataclass(cls): return cls @my_dataclass class Foo: a: int = init() b: int = field_overload(custom=None) bad1: int = no_init() bad2: int = field_overload(custom="bad2") reveal_type(Foo) # N: Revealed type is "def (a: builtins.int, b: builtins.int) -> __main__.Foo" Foo(a=1, b=2) Foo(a=1, b=2, bad1=0) # E: Unexpected keyword argument "bad1" for "Foo" Foo(a=1, b=2, bad2=0) # E: Unexpected keyword argument "bad2" for "Foo" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformOverloadsDecoratorOnOverload] # flags: --python-version 3.11 from typing import dataclass_transform, overload, Any, Callable, Type, Literal @overload def my_dataclass(*, foo: str) -> Callable[[Type], Type]: ... @overload @dataclass_transform(frozen_default=True) def my_dataclass(*, foo: int) -> Callable[[Type], Type]: ... def my_dataclass(*, foo: Any) -> Callable[[Type], Type]: return lambda cls: cls @my_dataclass(foo="hello") class A: a: int @my_dataclass(foo=5) class B: b: int reveal_type(A) # N: Revealed type is "def (a: builtins.int) -> __main__.A" reveal_type(B) # N: Revealed type is "def (b: builtins.int) -> __main__.B" A(1, "hello") # E: Too many arguments for "A" a = A(1) a.a = 2 # E: Property "a" defined in "A" is read-only [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformOverloadsDecoratorOnImpl] # flags: --python-version 3.11 from typing import dataclass_transform, overload, Any, Callable, Type, Literal @overload def my_dataclass(*, foo: str) -> Callable[[Type], Type]: ... @overload def my_dataclass(*, foo: int) -> Callable[[Type], Type]: ... @dataclass_transform(frozen_default=True) def my_dataclass(*, foo: Any) -> Callable[[Type], Type]: return lambda cls: cls @my_dataclass(foo="hello") class A: a: int @my_dataclass(foo=5) class B: b: int reveal_type(A) # N: Revealed type is "def (a: builtins.int) -> __main__.A" reveal_type(B) # N: Revealed type is "def (b: builtins.int) -> __main__.B" A(1, "hello") # E: Too many arguments for "A" a = A(1) a.a = 2 # E: Property "a" defined in "A" is read-only [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformViaBaseClass] # flags: --python-version 3.11 from typing import dataclass_transform @dataclass_transform(frozen_default=True) class Dataclass: def __init_subclass__(cls, *, kw_only: bool = False): ... class Person(Dataclass, kw_only=True): name: str age: int reveal_type(Person) # N: Revealed type is "def (*, name: builtins.str, age: builtins.int) -> __main__.Person" Person('Jonh', 21) # E: Too many positional arguments for "Person" person = Person(name='John', age=32) person.name = "John Smith" # E: Property "name" defined in "Person" is read-only class Contact(Person): email: str reveal_type(Contact) # N: Revealed type is "def (email: builtins.str, *, name: builtins.str, age: builtins.int) -> __main__.Contact" Contact('john@john.com', name='John', age=32) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformViaMetaclass] # flags: --python-version 3.11 from typing import dataclass_transform @dataclass_transform(frozen_default=True) class Dataclass(type): ... # Note that PEP 681 states that a class that directly specifies a dataclass_transform-decorated # metaclass should be treated as neither frozen nor unfrozen. For Person to have frozen semantics, # it may not directly specify the metaclass. class BaseDataclass(metaclass=Dataclass): ... class Person(BaseDataclass, kw_only=True): name: str age: int reveal_type(Person) # N: Revealed type is "def (*, name: builtins.str, age: builtins.int) -> __main__.Person" Person('Jonh', 21) # E: Too many positional arguments for "Person" person = Person(name='John', age=32) person.name = "John Smith" # E: Property "name" defined in "Person" is read-only class Contact(Person): email: str reveal_type(Contact) # N: Revealed type is "def (email: builtins.str, *, name: builtins.str, age: builtins.int) -> __main__.Contact" Contact('john@john.com', name='John', age=32) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformViaSubclassOfMetaclass] # flags: --python-version 3.11 from typing import dataclass_transform @dataclass_transform(frozen_default=True) class BaseMeta(type): ... class SubMeta(BaseMeta): ... # MyPy does *not* recognize this as a dataclass because the metaclass is not directly decorated with # dataclass_transform class Foo(metaclass=SubMeta): foo: int reveal_type(Foo) # N: Revealed type is "def () -> __main__.Foo" Foo(1) # E: Too many arguments for "Foo" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformTypeCheckingInFunction] # flags: --python-version 3.11 from typing import dataclass_transform, Type, TYPE_CHECKING @dataclass_transform() def model(cls: Type) -> Type: return cls @model class FunctionModel: if TYPE_CHECKING: string_: str integer_: int else: string_: tuple integer_: tuple FunctionModel(string_="abc", integer_=1) FunctionModel(string_="abc", integer_=tuple()) # E: Argument "integer_" to "FunctionModel" has incompatible type "tuple[Never, ...]"; expected "int" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformNegatedTypeCheckingInFunction] # flags: --python-version 3.11 from typing import dataclass_transform, Type, TYPE_CHECKING @dataclass_transform() def model(cls: Type) -> Type: return cls @model class FunctionModel: if not TYPE_CHECKING: string_: tuple integer_: tuple else: string_: str integer_: int FunctionModel(string_="abc", integer_=1) FunctionModel(string_="abc", integer_=tuple()) # E: Argument "integer_" to "FunctionModel" has incompatible type "tuple[Never, ...]"; expected "int" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformTypeCheckingInBaseClass] # flags: --python-version 3.11 from typing import dataclass_transform, TYPE_CHECKING @dataclass_transform() class ModelBase: ... class BaseClassModel(ModelBase): if TYPE_CHECKING: string_: str integer_: int else: string_: tuple integer_: tuple BaseClassModel(string_="abc", integer_=1) BaseClassModel(string_="abc", integer_=tuple()) # E: Argument "integer_" to "BaseClassModel" has incompatible type "tuple[Never, ...]"; expected "int" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformNegatedTypeCheckingInBaseClass] # flags: --python-version 3.11 from typing import dataclass_transform, TYPE_CHECKING @dataclass_transform() class ModelBase: ... class BaseClassModel(ModelBase): if not TYPE_CHECKING: string_: tuple integer_: tuple else: string_: str integer_: int BaseClassModel(string_="abc", integer_=1) BaseClassModel(string_="abc", integer_=tuple()) # E: Argument "integer_" to "BaseClassModel" has incompatible type "tuple[Never, ...]"; expected "int" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformTypeCheckingInMetaClass] # flags: --python-version 3.11 from typing import dataclass_transform, Type, TYPE_CHECKING @dataclass_transform() class ModelMeta(type): ... class ModelBaseWithMeta(metaclass=ModelMeta): ... class MetaClassModel(ModelBaseWithMeta): if TYPE_CHECKING: string_: str integer_: int else: string_: tuple integer_: tuple MetaClassModel(string_="abc", integer_=1) MetaClassModel(string_="abc", integer_=tuple()) # E: Argument "integer_" to "MetaClassModel" has incompatible type "tuple[Never, ...]"; expected "int" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformNegatedTypeCheckingInMetaClass] # flags: --python-version 3.11 from typing import dataclass_transform, Type, TYPE_CHECKING @dataclass_transform() class ModelMeta(type): ... class ModelBaseWithMeta(metaclass=ModelMeta): ... class MetaClassModel(ModelBaseWithMeta): if not TYPE_CHECKING: string_: tuple integer_: tuple else: string_: str integer_: int MetaClassModel(string_="abc", integer_=1) MetaClassModel(string_="abc", integer_=tuple()) # E: Argument "integer_" to "MetaClassModel" has incompatible type "tuple[Never, ...]"; expected "int" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformStaticConditionalAttributes] # flags: --python-version 3.11 --always-true TRUTH from typing import dataclass_transform, Type, TYPE_CHECKING TRUTH = False # Is set to --always-true @dataclass_transform() def model(cls: Type) -> Type: return cls @model class FunctionModel: if TYPE_CHECKING: present_1: int else: skipped_1: int if True: # Mypy does not know if it is True or False, so the block is used present_2: int if False: # Mypy does not know if it is True or False, so the block is used present_3: int if not TRUTH: skipped_2: int else: present_4: int FunctionModel( present_1=1, present_2=2, present_3=3, present_4=4, ) FunctionModel() # E: Missing positional arguments "present_1", "present_2", "present_3", "present_4" in call to "FunctionModel" FunctionModel( # E: Unexpected keyword argument "skipped_1" for "FunctionModel" present_1=1, present_2=2, present_3=3, present_4=4, skipped_1=5, ) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformStaticDeterministicConditionalElifAttributes] # flags: --python-version 3.11 --always-true TRUTH --always-false LIE from typing import dataclass_transform, Type, TYPE_CHECKING TRUTH = False # Is set to --always-true LIE = True # Is set to --always-false @dataclass_transform() def model(cls: Type) -> Type: return cls @model class FunctionModel: if TYPE_CHECKING: present_1: int elif TRUTH: skipped_1: int else: skipped_2: int if LIE: skipped_3: int elif TRUTH: present_2: int else: skipped_4: int if LIE: skipped_5: int elif LIE: skipped_6: int else: present_3: int FunctionModel( present_1=1, present_2=2, present_3=3, ) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformStaticNotDeterministicConditionalElifAttributes] # flags: --python-version 3.11 --always-true TRUTH --always-false LIE from typing import dataclass_transform, Type, TYPE_CHECKING TRUTH = False # Is set to --always-true LIE = True # Is set to --always-false @dataclass_transform() def model(cls: Type) -> Type: return cls @model class FunctionModel: if 123: # Mypy does not know if it is True or False, so this block is used present_1: int elif TRUTH: # Mypy does not know if previous condition is True or False, so it uses also this block present_2: int else: # Previous block is for sure True, so this block is skipped skipped_1: int if 123: present_3: int elif 123: present_4: int else: present_5: int if 123: # Mypy does not know if it is True or False, so this block is used present_6: int elif LIE: # This is for sure False, so the block is skipped used skipped_2: int else: # None of the conditions above for sure True, so this block is used present_7: int FunctionModel( present_1=1, present_2=2, present_3=3, present_4=4, present_5=5, present_6=6, present_7=7, ) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformFunctionConditionalAttributes] # flags: --python-version 3.11 from typing import dataclass_transform, Type @dataclass_transform() def model(cls: Type) -> Type: return cls def condition() -> bool: return True @model class FunctionModel: if condition(): x: int y: int z1: int else: x: str # E: Name "x" already defined on line 14 y: int # E: Name "y" already defined on line 15 z2: int FunctionModel(x=1, y=2, z1=3, z2=4) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformNegatedFunctionConditionalAttributes] # flags: --python-version 3.11 from typing import dataclass_transform, Type @dataclass_transform() def model(cls: Type) -> Type: return cls def condition() -> bool: return True @model class FunctionModel: if not condition(): x: int y: int z1: int else: x: str # E: Name "x" already defined on line 14 y: int # E: Name "y" already defined on line 15 z2: int FunctionModel(x=1, y=2, z1=3, z2=4) [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformDirectMetaclassNeitherFrozenNorNotFrozen] # flags: --python-version 3.11 from typing import dataclass_transform, Type @dataclass_transform() class Meta(type): ... class Base(metaclass=Meta): base: int class Foo(Base, frozen=True): foo: int class Bar(Base, frozen=False): bar: int foo = Foo(0, 1) foo.foo = 5 # E: Property "foo" defined in "Foo" is read-only foo.base = 6 reveal_type(foo.base) # N: Revealed type is "builtins.int" bar = Bar(0, 1) bar.bar = 5 bar.base = 6 reveal_type(bar.base) # N: Revealed type is "builtins.int" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformReplace] from dataclasses import replace from typing import dataclass_transform, Type @dataclass_transform() def my_dataclass(cls: Type) -> Type: return cls @my_dataclass class Person: name: str p = Person('John') y = replace(p, name='Bob') [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformSimpleDescriptor] # flags: --python-version 3.11 from typing import dataclass_transform, overload, Any @dataclass_transform() def my_dataclass(cls): ... class Desc: @overload def __get__(self, instance: None, owner: Any) -> Desc: ... @overload def __get__(self, instance: object, owner: Any) -> str: ... def __get__(self, instance: object | None, owner: Any) -> Desc | str: ... def __set__(self, instance: Any, value: str) -> None: ... @my_dataclass class C: x: Desc y: int C(x='x', y=1) C(x=1, y=1) # E: Argument "x" to "C" has incompatible type "int"; expected "str" reveal_type(C(x='x', y=1).x) # N: Revealed type is "builtins.str" reveal_type(C(x='x', y=1).y) # N: Revealed type is "builtins.int" reveal_type(C.x) # N: Revealed type is "__main__.Desc" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformUnannotatedDescriptor] # flags: --python-version 3.11 from typing import dataclass_transform, overload, Any @dataclass_transform() def my_dataclass(cls): ... class Desc: @overload def __get__(self, instance: None, owner: Any) -> Desc: ... @overload def __get__(self, instance: object, owner: Any) -> str: ... def __get__(self, instance: object | None, owner: Any) -> Desc | str: ... def __set__(*args, **kwargs): ... @my_dataclass class C: x: Desc y: int C(x='x', y=1) C(x=1, y=1) reveal_type(C(x='x', y=1).x) # N: Revealed type is "builtins.str" reveal_type(C(x='x', y=1).y) # N: Revealed type is "builtins.int" reveal_type(C.x) # N: Revealed type is "__main__.Desc" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformGenericDescriptor] # flags: --python-version 3.11 from typing import dataclass_transform, overload, Any, TypeVar, Generic @dataclass_transform() def my_dataclass(frozen: bool = False): ... T = TypeVar("T") class Desc(Generic[T]): @overload def __get__(self, instance: None, owner: Any) -> Desc[T]: ... @overload def __get__(self, instance: object, owner: Any) -> T: ... def __get__(self, instance: object | None, owner: Any) -> Desc | T: ... def __set__(self, instance: Any, value: T) -> None: ... @my_dataclass() class C: x: Desc[str] C(x='x') C(x=1) # E: Argument "x" to "C" has incompatible type "int"; expected "str" reveal_type(C(x='x').x) # N: Revealed type is "builtins.str" reveal_type(C.x) # N: Revealed type is "__main__.Desc[builtins.str]" @my_dataclass() class D(C): y: Desc[int] d = D(x='x', y=1) reveal_type(d.x) # N: Revealed type is "builtins.str" reveal_type(d.y) # N: Revealed type is "builtins.int" reveal_type(D.x) # N: Revealed type is "__main__.Desc[builtins.str]" reveal_type(D.y) # N: Revealed type is "__main__.Desc[builtins.int]" @my_dataclass(frozen=True) class F: x: Desc[str] = Desc() F(x='x') F(x=1) # E: Argument "x" to "F" has incompatible type "int"; expected "str" reveal_type(F(x='x').x) # N: Revealed type is "builtins.str" reveal_type(F.x) # N: Revealed type is "__main__.Desc[builtins.str]" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformGenericDescriptorWithInheritance] # flags: --python-version 3.11 from typing import dataclass_transform, overload, Any, TypeVar, Generic @dataclass_transform() def my_dataclass(cls): ... T = TypeVar("T") class Desc(Generic[T]): @overload def __get__(self, instance: None, owner: Any) -> Desc[T]: ... @overload def __get__(self, instance: object, owner: Any) -> T: ... def __get__(self, instance: object | None, owner: Any) -> Desc | T: ... def __set__(self, instance: Any, value: T) -> None: ... class Desc2(Desc[str]): pass @my_dataclass class C: x: Desc2 C(x='x') C(x=1) # E: Argument "x" to "C" has incompatible type "int"; expected "str" reveal_type(C(x='x').x) # N: Revealed type is "builtins.str" reveal_type(C.x) # N: Revealed type is "__main__.Desc[builtins.str]" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformDescriptorWithDifferentGetSetTypes] # flags: --python-version 3.11 from typing import dataclass_transform, overload, Any @dataclass_transform() def my_dataclass(cls): ... class Desc: @overload def __get__(self, instance: None, owner: Any) -> int: ... @overload def __get__(self, instance: object, owner: Any) -> str: ... def __get__(self, instance, owner): ... def __set__(self, instance: Any, value: bytes | None) -> None: ... @my_dataclass class C: x: Desc c = C(x=b'x') c = C(x=None) C(x=1) # E: Argument "x" to "C" has incompatible type "int"; expected "Optional[bytes]" reveal_type(c.x) # N: Revealed type is "builtins.str" reveal_type(C.x) # N: Revealed type is "builtins.int" c.x = b'x' c.x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Optional[bytes]") [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [case testDataclassTransformUnsupportedDescriptors] # flags: --python-version 3.11 from typing import dataclass_transform, overload, Any @dataclass_transform() def my_dataclass(cls): ... class Desc: @overload def __get__(self, instance: None, owner: Any) -> int: ... @overload def __get__(self, instance: object, owner: Any) -> str: ... def __get__(self, instance, owner): ... def __set__(*args, **kwargs) -> None: ... class Desc2: @overload def __get__(self, instance: None, owner: Any) -> int: ... @overload def __get__(self, instance: object, owner: Any) -> str: ... def __get__(self, instance, owner): ... @overload def __set__(self, instance: Any, value: bytes) -> None: ... @overload def __set__(self) -> None: ... def __set__(self, *args, **kawrga) -> None: ... @my_dataclass class C: x: Desc # E: Unsupported signature for "__set__" in "Desc" y: Desc2 # E: Unsupported "__set__" in "Desc2" [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-dataclasses.test0000644000175100017510000021347515112307767021403 0ustar00runnerrunner[case testDataclassesBasic] from dataclasses import dataclass @dataclass class Person: name: str age: int def summary(self): return "%s is %d years old." % (self.name, self.age) reveal_type(Person) # N: Revealed type is "def (name: builtins.str, age: builtins.int) -> __main__.Person" Person('John', 32) Person('Jonh', 21, None) # E: Too many arguments for "Person" [builtins fixtures/dataclasses.pyi] [typing fixtures/typing-medium.pyi] [case testDataclassesCustomInit] from dataclasses import dataclass @dataclass class A: a: int def __init__(self, a: str) -> None: pass A('1') [builtins fixtures/dataclasses.pyi] [case testDataclassesBasicInheritance] from dataclasses import dataclass @dataclass class Mammal: age: int @dataclass class Person(Mammal): name: str def summary(self): return "%s is %d years old." % (self.name, self.age) reveal_type(Person) # N: Revealed type is "def (age: builtins.int, name: builtins.str) -> __main__.Person" Mammal(10) Person(32, 'John') Person(21, 'Jonh', None) # E: Too many arguments for "Person" [builtins fixtures/dataclasses.pyi] [typing fixtures/typing-medium.pyi] [case testDataclassesDeepInheritance] from dataclasses import dataclass @dataclass class A: a: int @dataclass class B(A): b: int @dataclass class C(B): c: int @dataclass class D(C): d: int reveal_type(A) # N: Revealed type is "def (a: builtins.int) -> __main__.A" reveal_type(B) # N: Revealed type is "def (a: builtins.int, b: builtins.int) -> __main__.B" reveal_type(C) # N: Revealed type is "def (a: builtins.int, b: builtins.int, c: builtins.int) -> __main__.C" reveal_type(D) # N: Revealed type is "def (a: builtins.int, b: builtins.int, c: builtins.int, d: builtins.int) -> __main__.D" [builtins fixtures/dataclasses.pyi] [case testDataclassesMultipleInheritance] from dataclasses import dataclass, field, InitVar @dataclass class A: a: bool @dataclass class B: b: InitVar[bool] _b: bool = field(init=False) def __post_init__(self, b: bool): self._b = b @dataclass class C(A, B): pass reveal_type(C) # N: Revealed type is "def (b: builtins.bool, a: builtins.bool) -> __main__.C" [builtins fixtures/dataclasses.pyi] [case testDataclassesDeepInitVarInheritance] from dataclasses import dataclass, field, InitVar @dataclass class A: a: bool @dataclass class B: b: InitVar[bool] _b: bool = field(init=False) def __post_init__(self, b: bool): self._b = b @dataclass(init=False) class C(B): def __init__(self): super().__init__(True) @dataclass class D(C): pass reveal_type(C) # N: Revealed type is "def () -> __main__.C" reveal_type(D) # N: Revealed type is "def (b: builtins.bool) -> __main__.D" [builtins fixtures/dataclasses.pyi] [case testDataclassesOverriding] from dataclasses import dataclass @dataclass class Mammal: age: int @dataclass class Person(Mammal): name: str age: int @dataclass class SpecialPerson(Person): special_factor: float @dataclass class ExtraSpecialPerson(SpecialPerson): age: int special_factor: float name: str reveal_type(Person) # N: Revealed type is "def (age: builtins.int, name: builtins.str) -> __main__.Person" reveal_type(SpecialPerson) # N: Revealed type is "def (age: builtins.int, name: builtins.str, special_factor: builtins.float) -> __main__.SpecialPerson" reveal_type(ExtraSpecialPerson) # N: Revealed type is "def (age: builtins.int, name: builtins.str, special_factor: builtins.float) -> __main__.ExtraSpecialPerson" Person(32, 'John') Person(21, 'John', None) # E: Too many arguments for "Person" SpecialPerson(21, 'John', 0.5) ExtraSpecialPerson(21, 'John', 0.5) [builtins fixtures/dataclasses.pyi] [case testDataclassesOverridingWithDefaults] # Issue #5681 https://github.com/python/mypy/issues/5681 from dataclasses import dataclass from typing import Any @dataclass class Base: some_int: Any some_str: str = 'foo' @dataclass class C(Base): some_int: int reveal_type(C) # N: Revealed type is "def (some_int: builtins.int, some_str: builtins.str =) -> __main__.C" [builtins fixtures/dataclasses.pyi] [case testDataclassIncompatibleOverrides] from dataclasses import dataclass @dataclass class Base: foo: int @dataclass class BadDerived1(Base): def foo(self) -> int: # E: Dataclass attribute may only be overridden by another attribute \ # E: Signature of "foo" incompatible with supertype "Base" \ # N: Superclass: \ # N: int \ # N: Subclass: \ # N: def foo(self) -> int return 1 @dataclass class BadDerived2(Base): @property # E: Dataclass attribute may only be overridden by another attribute def foo(self) -> int: # E: Cannot override writeable attribute with read-only property return 2 @dataclass class BadDerived3(Base): class foo: pass # E: Dataclass attribute may only be overridden by another attribute [builtins fixtures/dataclasses.pyi] [case testDataclassMultipleInheritance] from dataclasses import dataclass class Unrelated: foo: str @dataclass class Base: bar: int @dataclass class Derived(Base, Unrelated): pass d = Derived(3) reveal_type(d.foo) # N: Revealed type is "builtins.str" reveal_type(d.bar) # N: Revealed type is "builtins.int" [builtins fixtures/dataclasses.pyi] [case testDataclassIncompatibleFrozenOverride] from dataclasses import dataclass @dataclass(frozen=True) class Base: foo: int @dataclass(frozen=True) class BadDerived(Base): @property # E: Dataclass attribute may only be overridden by another attribute def foo(self) -> int: return 3 [builtins fixtures/dataclasses.pyi] [case testDataclassesFreezing] from dataclasses import dataclass @dataclass(frozen=True) class Person: name: str john = Person('John') john.name = 'Ben' # E: Property "name" defined in "Person" is read-only [builtins fixtures/dataclasses.pyi] [case testDataclassesInconsistentFreezing] from dataclasses import dataclass @dataclass(frozen=True) class FrozenBase: pass @dataclass class BadNormalDerived(FrozenBase): # E: Non-frozen dataclass cannot inherit from a frozen dataclass pass @dataclass class NormalBase: pass @dataclass(frozen=True) class BadFrozenDerived(NormalBase): # E: Frozen dataclass cannot inherit from a non-frozen dataclass pass [builtins fixtures/dataclasses.pyi] [case testDataclassesFields] from dataclasses import dataclass, field @dataclass class Person: name: str age: int = field(default=0, init=False) reveal_type(Person) # N: Revealed type is "def (name: builtins.str) -> __main__.Person" john = Person('John') john.age = 'invalid' # E: Incompatible types in assignment (expression has type "str", variable has type "int") john.age = 24 [builtins fixtures/dataclasses.pyi] [case testDataclassesBadInit] from dataclasses import dataclass, field @dataclass class Person: name: str age: int = field(init=None) # E: No overload variant of "field" matches argument type "None" \ # N: Possible overload variants: \ # N: def [_T] field(*, default: _T, init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> _T \ # N: def [_T] field(*, default_factory: Callable[[], _T], init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> _T \ # N: def field(*, init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> Any [builtins fixtures/dataclasses.pyi] [case testDataclassesMultiInit] from dataclasses import dataclass, field from typing import List @dataclass class Person: name: str age: int = field(init=False) friend_names: List[str] = field(init=True) enemy_names: List[str] reveal_type(Person) # N: Revealed type is "def (name: builtins.str, friend_names: builtins.list[builtins.str], enemy_names: builtins.list[builtins.str]) -> __main__.Person" [builtins fixtures/dataclasses.pyi] [case testDataclassesMultiInitDefaults] from dataclasses import dataclass, field from typing import List, Optional @dataclass class Person: name: str age: int = field(init=False) friend_names: List[str] = field(init=True) enemy_names: List[str] nickname: Optional[str] = None reveal_type(Person) # N: Revealed type is "def (name: builtins.str, friend_names: builtins.list[builtins.str], enemy_names: builtins.list[builtins.str], nickname: Union[builtins.str, None] =) -> __main__.Person" [builtins fixtures/dataclasses.pyi] [case testDataclassesDefaults] from dataclasses import dataclass @dataclass class Application: name: str = 'Unnamed' rating: int = 0 reveal_type(Application) # N: Revealed type is "def (name: builtins.str =, rating: builtins.int =) -> __main__.Application" app = Application() [builtins fixtures/dataclasses.pyi] [case testDataclassesDefaultFactories] from dataclasses import dataclass, field @dataclass class Application: name: str = 'Unnamed' rating: int = field(default_factory=int) rating_count: int = field() # E: Attributes without a default cannot follow attributes with one [builtins fixtures/dataclasses.pyi] [case testDataclassesDefaultFactoryTypeChecking] from dataclasses import dataclass, field @dataclass class Application: name: str = 'Unnamed' rating: int = field(default_factory=str) # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/dataclasses.pyi] [case testDataclassesDefaultOrdering] from dataclasses import dataclass @dataclass class Application: name: str = 'Unnamed' rating: int # E: Attributes without a default cannot follow attributes with one [builtins fixtures/dataclasses.pyi] [case testDataclassesOrderingKwOnly] # flags: --python-version 3.10 from dataclasses import dataclass @dataclass(kw_only=True) class Application: name: str = 'Unnamed' rating: int Application(rating=5) Application(name='name', rating=5) Application() # E: Missing named argument "rating" for "Application" Application('name') # E: Too many positional arguments for "Application" # E: Missing named argument "rating" for "Application" Application('name', 123) # E: Too many positional arguments for "Application" Application('name', rating=123) # E: Too many positional arguments for "Application" Application(name=123, rating='name') # E: Argument "name" to "Application" has incompatible type "int"; expected "str" # E: Argument "rating" to "Application" has incompatible type "str"; expected "int" Application(rating='name', name=123) # E: Argument "rating" to "Application" has incompatible type "str"; expected "int" # E: Argument "name" to "Application" has incompatible type "int"; expected "str" [builtins fixtures/dataclasses.pyi] [case testDataclassesOrderingKwOnlyOnField] # flags: --python-version 3.10 from dataclasses import dataclass, field @dataclass class Application: name: str = 'Unnamed' rating: int = field(kw_only=True) Application(rating=5) Application('name', rating=123) Application(name='name', rating=5) Application() # E: Missing named argument "rating" for "Application" Application('name') # E: Missing named argument "rating" for "Application" Application('name', 123) # E: Too many positional arguments for "Application" Application(123, rating='name') # E: Argument 1 to "Application" has incompatible type "int"; expected "str" # E: Argument "rating" to "Application" has incompatible type "str"; expected "int" [builtins fixtures/dataclasses.pyi] [case testDataclassesOrderingKwOnlyOnFieldFalse] # flags: --python-version 3.10 from dataclasses import dataclass, field @dataclass class Application: name: str = 'Unnamed' rating: int = field(kw_only=False) # E: Attributes without a default cannot follow attributes with one Application(name='name', rating=5) Application('name', 123) Application('name', rating=123) Application() # E: Missing positional argument "name" in call to "Application" Application('name') # E: Too few arguments for "Application" [builtins fixtures/dataclasses.pyi] [case testDataclassesOrderingKwOnlyWithSentinel] # flags: --python-version 3.10 from dataclasses import dataclass, KW_ONLY @dataclass class Application: _: KW_ONLY name: str = 'Unnamed' rating: int Application(rating=5) Application(name='name', rating=5) Application() # E: Missing named argument "rating" for "Application" Application('name') # E: Too many positional arguments for "Application" # E: Missing named argument "rating" for "Application" Application('name', 123) # E: Too many positional arguments for "Application" Application('name', rating=123) # E: Too many positional arguments for "Application" [builtins fixtures/dataclasses.pyi] [case testDataclassesOrderingKwOnlyWithSentinelAndFieldOverride] # flags: --python-version 3.10 from dataclasses import dataclass, field, KW_ONLY @dataclass class Application: _: KW_ONLY name: str = 'Unnamed' rating: int = field(kw_only=False) Application(name='name', rating=5) Application() # E: Missing positional argument "rating" in call to "Application" Application(123) Application('name') # E: Argument 1 to "Application" has incompatible type "str"; expected "int" Application('name', 123) # E: Too many positional arguments for "Application" \ # E: Argument 1 to "Application" has incompatible type "str"; expected "int" \ # E: Argument 2 to "Application" has incompatible type "int"; expected "str" Application(123, rating=123) # E: "Application" gets multiple values for keyword argument "rating" [builtins fixtures/dataclasses.pyi] [case testDataclassesOrderingKwOnlyWithSentinelAndSubclass] # flags: --python-version 3.10 from dataclasses import dataclass, field, KW_ONLY @dataclass class Base: x: str _: KW_ONLY y: int = 0 w: int = 1 @dataclass class D(Base): z: str a: str = "a" D("Hello", "World") D(x="Hello", z="World") D("Hello", "World", y=1, w=2, a="b") D("Hello") # E: Missing positional argument "z" in call to "D" D() # E: Missing positional arguments "x", "z" in call to "D" D(123, "World") # E: Argument 1 to "D" has incompatible type "int"; expected "str" D("Hello", False) # E: Argument 2 to "D" has incompatible type "bool"; expected "str" D(123, False) # E: Argument 1 to "D" has incompatible type "int"; expected "str" # E: Argument 2 to "D" has incompatible type "bool"; expected "str" [builtins fixtures/dataclasses.pyi] [case testDataclassesOrderingKwOnlyWithMultipleSentinel] # flags: --python-version 3.10 from dataclasses import dataclass, field, KW_ONLY @dataclass class Base: x: str _: KW_ONLY y: int = 0 __: KW_ONLY # E: There may not be more than one field with the KW_ONLY type w: int = 1 [builtins fixtures/dataclasses.pyi] [case testDataclassesClassmethods] from dataclasses import dataclass @dataclass class Application: name: str @classmethod def parse(cls, request: str) -> "Application": return cls(name='...') app = Application.parse('') [builtins fixtures/dataclasses.pyi] [case testDataclassesOverloadsAndClassmethods] from dataclasses import dataclass from typing import overload, Union @dataclass class A: a: int b: str @classmethod def other(cls) -> str: return "..." @overload @classmethod def foo(cls, x: int) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x: Union[int, str]) -> Union[int, str]: reveal_type(cls) # N: Revealed type is "type[__main__.A]" reveal_type(cls.other()) # N: Revealed type is "builtins.str" return x reveal_type(A.foo(3)) # N: Revealed type is "builtins.int" reveal_type(A.foo("foo")) # N: Revealed type is "builtins.str" [builtins fixtures/dataclasses.pyi] [case testClassmethodShadowingFieldDoesNotCrash] from dataclasses import dataclass # This used to crash -- see #6217 @dataclass class Foo: bar: str @classmethod # E: Name "bar" already defined on line 6 def bar(cls) -> "Foo": return cls('asdf') [builtins fixtures/dataclasses.pyi] [case testDataclassesClassVars] from dataclasses import dataclass from typing import ClassVar @dataclass class Application: name: str COUNTER: ClassVar[int] = 0 reveal_type(Application) # N: Revealed type is "def (name: builtins.str) -> __main__.Application" application = Application("example") application.COUNTER = 1 # E: Cannot assign to class variable "COUNTER" via instance Application.COUNTER = 1 [builtins fixtures/dataclasses.pyi] [case testTypeAliasInDataclassDoesNotCrash] from dataclasses import dataclass from typing import Callable from typing_extensions import TypeAlias @dataclass class Foo: x: int @dataclass class One: S: TypeAlias = Foo # E: Type aliases inside dataclass definitions are not supported at runtime a = One() reveal_type(a.S) # N: Revealed type is "def (x: builtins.int) -> __main__.Foo" a.S() # E: Missing positional argument "x" in call to "Foo" reveal_type(a.S(5)) # N: Revealed type is "__main__.Foo" @dataclass class Two: S: TypeAlias = Callable[[int], str] # E: Type aliases inside dataclass definitions are not supported at runtime c = Two() x = c.S reveal_type(x) # N: Revealed type is "typing._SpecialForm" [builtins fixtures/dataclasses.pyi] [typing fixtures/typing-medium.pyi] [case testDataclassOrdering] from dataclasses import dataclass @dataclass(order=True) class Application: name: str rating: int app1 = Application('example-1', 5) app2 = Application('example-2', 5) app1 < app2 app1 > app2 app1 <= app2 app1 >= app2 app1 < 5 # E: Unsupported operand types for < ("Application" and "int") app1 > 5 # E: Unsupported operand types for > ("Application" and "int") app1 <= 5 # E: Unsupported operand types for <= ("Application" and "int") app1 >= 5 # E: Unsupported operand types for >= ("Application" and "int") class SpecializedApplication(Application): ... app3 = SpecializedApplication('example-3', 5) app1 < app3 app1 > app3 app1 <= app3 app1 >= app3 [builtins fixtures/dataclasses.pyi] [case testDataclassOrderingWithoutEquality] from dataclasses import dataclass @dataclass(eq=False, order=True) # E: "eq" must be True if "order" is True class Application: ... [builtins fixtures/dataclasses.pyi] [case testDataclassOrderingWithCustomMethods] from dataclasses import dataclass @dataclass(order=True) class Application: def __lt__(self, other: 'Application') -> bool: # E: You may not have a custom "__lt__" method when "order" is True ... [builtins fixtures/dataclasses.pyi] [case testDataclassDefaultsInheritance] from dataclasses import dataclass from typing import Optional @dataclass(order=True) class Application: id: Optional[int] name: str @dataclass class SpecializedApplication(Application): rating: int = 0 reveal_type(SpecializedApplication) # N: Revealed type is "def (id: Union[builtins.int, None], name: builtins.str, rating: builtins.int =) -> __main__.SpecializedApplication" [builtins fixtures/dataclasses.pyi] [case testDataclassGenerics] from dataclasses import dataclass from typing import Generic, List, Optional, TypeVar T = TypeVar('T') @dataclass class A(Generic[T]): x: T y: T z: List[T] def foo(self) -> List[T]: return [self.x, self.y] def bar(self) -> T: return self.z[0] def problem(self) -> T: return self.z # E: Incompatible return value type (got "list[T]", expected "T") reveal_type(A) # N: Revealed type is "def [T] (x: T`1, y: T`1, z: builtins.list[T`1]) -> __main__.A[T`1]" A(1, 2, ["a", "b"]) # E: Cannot infer value of type parameter "T" of "A" a = A(1, 2, [1, 2]) reveal_type(a) # N: Revealed type is "__main__.A[builtins.int]" reveal_type(a.x) # N: Revealed type is "builtins.int" reveal_type(a.y) # N: Revealed type is "builtins.int" reveal_type(a.z) # N: Revealed type is "builtins.list[builtins.int]" s: str = a.bar() # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/dataclasses.pyi] [case testDataclassGenericCovariant] from dataclasses import dataclass from typing import Generic, TypeVar T_co = TypeVar("T_co", covariant=True) @dataclass class MyDataclass(Generic[T_co]): a: T_co [builtins fixtures/dataclasses.pyi] [case testDataclassUntypedGenericInheritance] from dataclasses import dataclass from typing import Generic, TypeVar T = TypeVar("T") @dataclass class Base(Generic[T]): attr: T @dataclass class Sub(Base): pass sub = Sub(attr=1) reveal_type(sub) # N: Revealed type is "__main__.Sub" reveal_type(sub.attr) # N: Revealed type is "Any" [builtins fixtures/dataclasses.pyi] [case testDataclassGenericSubtype] from dataclasses import dataclass from typing import Generic, TypeVar T = TypeVar("T") @dataclass class Base(Generic[T]): attr: T S = TypeVar("S") @dataclass class Sub(Base[S]): pass sub_int = Sub[int](attr=1) reveal_type(sub_int) # N: Revealed type is "__main__.Sub[builtins.int]" reveal_type(sub_int.attr) # N: Revealed type is "builtins.int" sub_str = Sub[str](attr='ok') reveal_type(sub_str) # N: Revealed type is "__main__.Sub[builtins.str]" reveal_type(sub_str.attr) # N: Revealed type is "builtins.str" [builtins fixtures/dataclasses.pyi] [case testDataclassGenericInheritance] from dataclasses import dataclass from typing import Generic, TypeVar T1 = TypeVar("T1") T2 = TypeVar("T2") T3 = TypeVar("T3") @dataclass class Base(Generic[T1, T2, T3]): one: T1 two: T2 three: T3 @dataclass class Sub(Base[int, str, float]): pass sub = Sub(one=1, two='ok', three=3.14) reveal_type(sub) # N: Revealed type is "__main__.Sub" reveal_type(sub.one) # N: Revealed type is "builtins.int" reveal_type(sub.two) # N: Revealed type is "builtins.str" reveal_type(sub.three) # N: Revealed type is "builtins.float" [builtins fixtures/dataclasses.pyi] [case testDataclassMultiGenericInheritance] from dataclasses import dataclass from typing import Generic, TypeVar T = TypeVar("T") @dataclass class Base(Generic[T]): base_attr: T S = TypeVar("S") @dataclass class Middle(Base[int], Generic[S]): middle_attr: S @dataclass class Sub(Middle[str]): pass sub = Sub(base_attr=1, middle_attr='ok') reveal_type(sub) # N: Revealed type is "__main__.Sub" reveal_type(sub.base_attr) # N: Revealed type is "builtins.int" reveal_type(sub.middle_attr) # N: Revealed type is "builtins.str" [builtins fixtures/dataclasses.pyi] [case testDataclassGenericsClassmethod] from dataclasses import dataclass from typing import Generic, TypeVar T = TypeVar('T') @dataclass class A(Generic[T]): x: T @classmethod def foo(cls) -> None: reveal_type(cls) # N: Revealed type is "type[__main__.A[T`1]]" cls.x # E: Access to generic instance variables via class is ambiguous @classmethod def other(cls, x: T) -> A[T]: ... reveal_type(A(0).other) # N: Revealed type is "def (x: builtins.int) -> __main__.A[builtins.int]" [builtins fixtures/dataclasses.pyi] [case testDataclassesForwardRefs] from dataclasses import dataclass @dataclass class A: b: 'B' @dataclass class B: x: int reveal_type(A) # N: Revealed type is "def (b: __main__.B) -> __main__.A" A(b=B(42)) A(b=42) # E: Argument "b" to "A" has incompatible type "int"; expected "B" [builtins fixtures/dataclasses.pyi] [case testDataclassesInitVars] from dataclasses import InitVar, dataclass @dataclass class Application: name: str database_name: InitVar[str] reveal_type(Application) # N: Revealed type is "def (name: builtins.str, database_name: builtins.str) -> __main__.Application" app = Application("example", 42) # E: Argument 2 to "Application" has incompatible type "int"; expected "str" app = Application("example", "apps") app.name app.database_name # E: "Application" has no attribute "database_name" @dataclass class SpecializedApplication(Application): rating: int reveal_type(SpecializedApplication) # N: Revealed type is "def (name: builtins.str, database_name: builtins.str, rating: builtins.int) -> __main__.SpecializedApplication" app = SpecializedApplication("example", "apps", "five") # E: Argument 3 to "SpecializedApplication" has incompatible type "str"; expected "int" app = SpecializedApplication("example", "apps", 5) app.name app.rating app.database_name # E: "SpecializedApplication" has no attribute "database_name" [builtins fixtures/dataclasses.pyi] [case testDataclassesInitVarsAndDefer] from dataclasses import InitVar, dataclass defer: Yes @dataclass class Application: name: str database_name: InitVar[str] reveal_type(Application) # N: Revealed type is "def (name: builtins.str, database_name: builtins.str) -> __main__.Application" app = Application("example", 42) # E: Argument 2 to "Application" has incompatible type "int"; expected "str" app = Application("example", "apps") app.name app.database_name # E: "Application" has no attribute "database_name" class Yes: ... [builtins fixtures/dataclasses.pyi] [case testDataclassesNoInitInitVarInheritance] from dataclasses import dataclass, field, InitVar @dataclass class Super: foo: InitVar = field(init=False) @dataclass class Sub(Super): bar: int sub = Sub(5) sub.foo # E: "Sub" has no attribute "foo" sub.bar [builtins fixtures/dataclasses.pyi] [case testDataclassFactory] from typing import Type, TypeVar from dataclasses import dataclass T = TypeVar('T', bound='A') @dataclass class A: @classmethod def make(cls: Type[T]) -> T: reveal_type(cls) # N: Revealed type is "type[T`-1]" reveal_type(cls()) # N: Revealed type is "T`-1" return cls() [builtins fixtures/dataclasses.pyi] [case testDataclassesInitVarOverride] import dataclasses @dataclasses.dataclass class A: a: dataclasses.InitVar[int] _a: int = dataclasses.field(init=False) def __post_init__(self, a): self._a = a @dataclasses.dataclass(init=False) class B(A): b: dataclasses.InitVar[int] _b: int = dataclasses.field(init=False) def __init__(self, b): super().__init__(b+1) self._b = b [builtins fixtures/dataclasses.pyi] [case testDataclassesInitVarNoOverride] import dataclasses @dataclasses.dataclass class A: a: dataclasses.InitVar[int] _a: int = dataclasses.field(init=False) def __post_init__(self, a): self._a = a @dataclasses.dataclass(init=True) class B(A): b: dataclasses.InitVar[int] _b: int = dataclasses.field(init=False) def __post_init__(self, a, b): self._a = a self._b = b B(1, 2) B(1, 'a') # E: Argument 2 to "B" has incompatible type "str"; expected "int" [builtins fixtures/dataclasses.pyi] [case testDataclassesInitVarPostInitOverride] import dataclasses @dataclasses.dataclass class A: a: dataclasses.InitVar[int] _a: int = dataclasses.field(init=False) def __post_init__(self, a: int) -> None: self._a = a @dataclasses.dataclass class B(A): b: int = dataclasses.field(init=False) def __post_init__(self, a: int) -> None: super().__post_init__(a) self.b = a + 1 @dataclasses.dataclass(init=False) class C(B): c: int def __init__(self, a: int, c: int) -> None: super().__init__(a) self.c = c + self.b A(1) B(1) B(1, 2) # E: Too many arguments for "B" C(1, 2) C(1, 'a') # E: Argument 2 to "C" has incompatible type "str"; expected "int" [builtins fixtures/primitives.pyi] [case testDataclassesInitVarIncremental] import a [file a.py] import dataclasses from b import A @dataclasses.dataclass class B(A): b: int = dataclasses.field(init=False) def __post_init__(self, a: int) -> None: super().__post_init__(a) self.b = a + 1 [file a.py.2] import dataclasses from b import A @dataclasses.dataclass class B(A): b: int = dataclasses.field(init=False) def __post_init__(self, a: int) -> None: super().__post_init__(a) self.b = a + 2 reveal_type(B) [file b.py] import dataclasses @dataclasses.dataclass class A: a: dataclasses.InitVar[int] _a: int = dataclasses.field(init=False) def __post_init__(self, a: int) -> None: self._a = a [out2] tmp/a.py:12: note: Revealed type is "def (a: builtins.int) -> a.B" [builtins fixtures/primitives.pyi] [case testNoComplainFieldNone] # flags: --no-strict-optional from dataclasses import dataclass, field from typing import Optional @dataclass class Foo: bar: Optional[int] = field(default=None) [builtins fixtures/dataclasses.pyi] [out] [case testNoComplainFieldNoneStrict] from dataclasses import dataclass, field from typing import Optional @dataclass class Foo: bar: Optional[int] = field(default=None) [builtins fixtures/dataclasses.pyi] [out] [case testDisallowUntypedWorksForward] # flags: --disallow-untyped-defs from dataclasses import dataclass from typing import List @dataclass class B: x: C class C(List[C]): pass reveal_type(B) # N: Revealed type is "def (x: __main__.C) -> __main__.B" [builtins fixtures/dataclasses.pyi] [case testDisallowUntypedWorksForwardBad] # flags: --disallow-untyped-defs from dataclasses import dataclass @dataclass class B: x: Undefined # E: Name "Undefined" is not defined y = undefined() # E: Name "undefined" is not defined reveal_type(B) # N: Revealed type is "def (x: Any) -> __main__.B" [builtins fixtures/dataclasses.pyi] [case testMemberExprWorksAsField] import dataclasses @dataclasses.dataclass class A: x: int = dataclasses.field(metadata={"doc": "foo"}) y: str @dataclasses.dataclass class B: x: int = dataclasses.field(init=False, default=1) y: str @dataclasses.dataclass class C: x: int = dataclasses.field(default=1) y: str = dataclasses.field(metadata={"doc": "foo"}) # E: Attributes without a default cannot follow attributes with one [builtins fixtures/dict.pyi] [case testDataclassOrderingDeferred] from dataclasses import dataclass defer: Yes @dataclass(order=True) class Application: name: str rating: int a = Application('', 0) b = Application('', 0) a < b class Yes: ... [builtins fixtures/dataclasses.pyi] [case testDataclassFieldDeferred] from dataclasses import field, dataclass @dataclass class C: x: int = field(default=func()) def func() -> int: ... C('no') # E: Argument 1 to "C" has incompatible type "str"; expected "int" [builtins fixtures/dataclasses.pyi] [case testDataclassFieldDeferredFrozen] from dataclasses import field, dataclass @dataclass(frozen=True) class C: x: int = field(default=func()) def func() -> int: ... c: C c.x = 1 # E: Property "x" defined in "C" is read-only [builtins fixtures/dataclasses.pyi] [case testTypeInDataclassDeferredStar] import lib [file lib.py] from dataclasses import dataclass MYPY = False if MYPY: # Force deferral from other import * @dataclass class C: total: int C() # E: Missing positional argument "total" in call to "C" C('no') # E: Argument 1 to "C" has incompatible type "str"; expected "int" [file other.py] import lib [builtins fixtures/dataclasses.pyi] [case testDeferredDataclassInitSignature] # flags: --no-strict-optional from dataclasses import dataclass from typing import Optional, Type @dataclass class C: x: Optional[int] = None y: Type[Deferred] = Deferred @classmethod def default(cls) -> C: return cls(x=None, y=None) class Deferred: pass [builtins fixtures/dataclasses.pyi] [case testDeferredDataclassInitSignatureSubclass] from dataclasses import dataclass from typing import Optional @dataclass class B: x: Optional[C] @dataclass class C(B): y: str a = C(None, 'abc') [builtins fixtures/dataclasses.pyi] [case testDataclassesDefaultsIncremental] import a [file a.py] from dataclasses import dataclass from b import Person @dataclass class Asdf(Person): c: str = 'test' [file a.py.2] from dataclasses import dataclass from b import Person @dataclass class Asdf(Person): c: str = 'test' # asdf [file b.py] from dataclasses import dataclass @dataclass class Person: b: int a: str = 'test' [builtins fixtures/dataclasses.pyi] [case testDataclassesDefaultsMroOtherFile] import a [file a.py] from dataclasses import dataclass from b import A1, A2 @dataclass class Asdf(A1, A2): # E: Attributes without a default cannot follow attributes with one pass [file b.py] from dataclasses import dataclass # a bunch of blank lines to make sure the error doesn't accidentally line up... @dataclass class A1: a: int @dataclass class A2: b: str = 'test' [builtins fixtures/dataclasses.pyi] [case testDataclassesInheritingDuplicateField] # see mypy issue #7792 from dataclasses import dataclass @dataclass class A: x: int = 0 x: int = 0 # E: Name "x" already defined on line 6 @dataclass class B(A): pass [builtins fixtures/dataclasses.pyi] [case testDataclassInheritanceNoAnnotation] from dataclasses import dataclass @dataclass class A: foo: int x = 0 @dataclass class B(A): foo = x reveal_type(B) # N: Revealed type is "def (foo: builtins.int) -> __main__.B" [builtins fixtures/dataclasses.pyi] [case testDataclassInheritanceNoAnnotation2] from dataclasses import dataclass @dataclass(frozen=True) class A: foo: int @dataclass(frozen=True) class B(A): @property # E: Dataclass attribute may only be overridden by another attribute def foo(self) -> int: pass reveal_type(B) # N: Revealed type is "def (foo: builtins.int) -> __main__.B" [builtins fixtures/dataclasses.pyi] [case testDataclassHasAttributeWithFields] from dataclasses import dataclass @dataclass class A: pass reveal_type(A.__dataclass_fields__) # N: Revealed type is "builtins.dict[builtins.str, dataclasses.Field[Any]]" [builtins fixtures/dict.pyi] [case testDataclassCallableFieldAccess] from dataclasses import dataclass from typing import Callable @dataclass class A: x: Callable[[int], int] y: Callable[[int], int] = lambda i: i a = A(lambda i:i) x: int = a.x(0) y: str = a.y(0) # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type(a.x) # N: Revealed type is "def (builtins.int) -> builtins.int" reveal_type(a.y) # N: Revealed type is "def (builtins.int) -> builtins.int" reveal_type(A.y) # N: Revealed type is "def (builtins.int) -> builtins.int" [builtins fixtures/dataclasses.pyi] [case testDataclassCallableFieldAssignment] from dataclasses import dataclass from typing import Callable @dataclass class A: x: Callable[[int], int] def x(i: int) -> int: return i def x2(s: str) -> str: return s a = A(lambda i:i) a.x = x a.x = x2 # E: Incompatible types in assignment (expression has type "Callable[[str], str]", variable has type "Callable[[int], int]") [builtins fixtures/dataclasses.pyi] [case testDataclassFieldDoesNotFailOnKwargsUnpacking] # https://github.com/python/mypy/issues/10879 from dataclasses import dataclass, field @dataclass class Foo: bar: float = field(**{"repr": False}) [out] main:6: error: Unpacking **kwargs in "field()" is not supported main:6: error: No overload variant of "field" matches argument type "dict[str, bool]" main:6: note: Possible overload variants: main:6: note: def [_T] field(*, default: _T, init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> _T main:6: note: def [_T] field(*, default_factory: Callable[[], _T], init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> _T main:6: note: def field(*, init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> Any [builtins fixtures/dataclasses.pyi] [case testDataclassFieldWithPositionalArguments] from dataclasses import dataclass, field @dataclass class C: x: int = field(0) # E: "field()" does not accept positional arguments \ # E: No overload variant of "field" matches argument type "int" \ # N: Possible overload variants: \ # N: def [_T] field(*, default: _T, init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> _T \ # N: def [_T] field(*, default_factory: Callable[[], _T], init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> _T \ # N: def field(*, init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...) -> Any [builtins fixtures/dataclasses.pyi] [case testDataclassFieldWithTypedDictUnpacking] from dataclasses import dataclass, field from typing import TypedDict class FieldKwargs(TypedDict): repr: bool field_kwargs: FieldKwargs = {"repr": False} @dataclass class Foo: bar: float = field(**field_kwargs) # E: Unpacking **kwargs in "field()" is not supported reveal_type(Foo(bar=1.5)) # N: Revealed type is "__main__.Foo" [builtins fixtures/dataclasses.pyi] [typing fixtures/typing-typeddict.pyi] [case testDataclassWithSlotsArg] # flags: --python-version 3.10 from dataclasses import dataclass @dataclass(slots=True) class Some: x: int def __init__(self, x: int) -> None: self.x = x self.y = 0 # E: Trying to assign name "y" that is not in "__slots__" of type "__main__.Some" def __post_init__(self) -> None: self.y = 1 # E: Trying to assign name "y" that is not in "__slots__" of type "__main__.Some" [builtins fixtures/dataclasses.pyi] [case testDataclassWithSlotsDef] # flags: --python-version 3.10 from dataclasses import dataclass @dataclass(slots=False) class Some: __slots__ = ('x',) x: int def __init__(self, x: int) -> None: self.x = x self.y = 0 # E: Trying to assign name "y" that is not in "__slots__" of type "__main__.Some" def __post_init__(self) -> None: self.y = 1 # E: Trying to assign name "y" that is not in "__slots__" of type "__main__.Some" [builtins fixtures/dataclasses.pyi] [case testDataclassWithSlotsDerivedFromNonSlot] # flags: --python-version 3.10 from dataclasses import dataclass class A: pass @dataclass(slots=True) class B(A): x: int def __post_init__(self) -> None: self.y = 42 [builtins fixtures/dataclasses.pyi] [case testDataclassWithSlotsConflict] # flags: --python-version 3.10 from dataclasses import dataclass @dataclass(slots=True) class Some: # E: "Some" both defines "__slots__" and is used with "slots=True" __slots__ = ('x',) x: int @dataclass(slots=True) class EmptyDef: # E: "EmptyDef" both defines "__slots__" and is used with "slots=True" __slots__ = () x: int slots = ('x',) @dataclass(slots=True) class DynamicDef: # E: "DynamicDef" both defines "__slots__" and is used with "slots=True" __slots__ = slots x: int [builtins fixtures/dataclasses.pyi] [case testDataclassWithSlotsArgBefore310] # flags: --python-version 3.9 from dataclasses import dataclass @dataclass(slots=True) # E: Keyword argument "slots" for "dataclass" is only valid in Python 3.10 and higher class Some: x: int # Possible conflict: @dataclass(slots=True) # E: Keyword argument "slots" for "dataclass" is only valid in Python 3.10 and higher class Other: __slots__ = ('x',) x: int [builtins fixtures/dataclasses.pyi] [case testDataclassWithSlotsRuntimeAttr] # flags: --python-version 3.10 from dataclasses import dataclass @dataclass(slots=True) class Some: x: int y: str z: bool reveal_type(Some.__slots__) # N: Revealed type is "tuple[builtins.str, builtins.str, builtins.str]" @dataclass(slots=True) class Other: x: int y: str reveal_type(Other.__slots__) # N: Revealed type is "tuple[builtins.str, builtins.str]" @dataclass class NoSlots: x: int y: str NoSlots.__slots__ # E: "type[NoSlots]" has no attribute "__slots__" [builtins fixtures/dataclasses.pyi] [case testSlotsDefinitionWithTwoPasses1] # flags: --python-version 3.10 # https://github.com/python/mypy/issues/11821 from typing import TypeVar, Protocol, Generic from dataclasses import dataclass C = TypeVar("C", bound="Comparable") class Comparable(Protocol): pass V = TypeVar("V", bound=Comparable) @dataclass(slots=True) class Node(Generic[V]): # Error was here data: V [builtins fixtures/dataclasses.pyi] [case testSlotsDefinitionWithTwoPasses2] # flags: --python-version 3.10 from typing import TypeVar, Protocol, Generic from dataclasses import dataclass C = TypeVar("C", bound="Comparable") class Comparable(Protocol): pass V = TypeVar("V", bound=Comparable) @dataclass(slots=True) # Explicit slots are still not ok: class Node(Generic[V]): # E: "Node" both defines "__slots__" and is used with "slots=True" __slots__ = ('data',) data: V [builtins fixtures/dataclasses.pyi] [case testSlotsDefinitionWithTwoPasses3] # flags: --python-version 3.10 from typing import TypeVar, Protocol, Generic from dataclasses import dataclass C = TypeVar("C", bound="Comparable") class Comparable(Protocol): pass V = TypeVar("V", bound=Comparable) @dataclass(slots=True) # Explicit slots are still not ok, even empty ones: class Node(Generic[V]): # E: "Node" both defines "__slots__" and is used with "slots=True" __slots__ = () data: V [builtins fixtures/dataclasses.pyi] [case testSlotsDefinitionWithTwoPasses4] # flags: --python-version 3.10 import dataclasses as dtc PublishedMessagesVar = dict[int, 'PublishedMessages'] @dtc.dataclass(frozen=True, slots=True) class PublishedMessages: left: int [builtins fixtures/dataclasses.pyi] [case testDataclassesAnyInherit] from dataclasses import dataclass from typing import Any B: Any @dataclass class A(B): a: int @dataclass class C(B): generated_args: int generated_kwargs: int A(a=1, b=2) A(1) A(a="foo") # E: Argument "a" to "A" has incompatible type "str"; expected "int" C(generated_args="foo", generated_kwargs="bar") # E: Argument "generated_args" to "C" has incompatible type "str"; expected "int" \ # E: Argument "generated_kwargs" to "C" has incompatible type "str"; expected "int" [builtins fixtures/dataclasses.pyi] [case testDataclassesCallableFrozen] from dataclasses import dataclass from typing import Any, Callable @dataclass(frozen=True) class A: a: Callable[..., None] def func() -> None: pass reveal_type(A.a) # N: Revealed type is "def (*Any, **Any)" A(a=func).a() A(a=func).a = func # E: Property "a" defined in "A" is read-only [builtins fixtures/dataclasses.pyi] [case testDataclassInFunctionDoesNotCrash] from dataclasses import dataclass def foo() -> None: @dataclass class Foo: foo: int # This used to crash (see #8703) # The return type of __call__ here needs to be something undefined # In order to trigger the crash that existed prior to #12762 def __call__(self) -> asdf: ... # E: Name "asdf" is not defined [builtins fixtures/dataclasses.pyi] [case testDataclassesMultipleInheritanceWithNonDataclass] # flags: --python-version 3.10 from dataclasses import dataclass @dataclass class A: prop_a: str @dataclass class B: prop_b: bool class Derived(A, B): pass [builtins fixtures/dataclasses.pyi] [case testDataclassGenericInheritance2] from dataclasses import dataclass from typing import Any, Callable, Generic, TypeVar, List T = TypeVar("T") S = TypeVar("S") @dataclass class Parent(Generic[T]): f: Callable[[T], Any] @dataclass class Child(Parent[T]): ... class A: ... def func(obj: A) -> bool: ... reveal_type(Child[A](func).f) # N: Revealed type is "def (__main__.A) -> Any" @dataclass class Parent2(Generic[T]): a: List[T] @dataclass class Child2(Generic[T, S], Parent2[S]): b: List[T] reveal_type(Child2([A()], [1]).a) # N: Revealed type is "builtins.list[__main__.A]" reveal_type(Child2[int, A]([A()], [1]).b) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/dataclasses.pyi] [case testDataclassInheritOptionalType] from dataclasses import dataclass from typing import Any, Callable, Generic, TypeVar, List, Optional T = TypeVar("T") @dataclass class Parent(Generic[T]): x: Optional[str] @dataclass class Child(Parent): y: Optional[int] Child(x=1, y=1) # E: Argument "x" to "Child" has incompatible type "int"; expected "Optional[str]" Child(x='', y='') # E: Argument "y" to "Child" has incompatible type "str"; expected "Optional[int]" Child(x='', y=1) Child(x=None, y=None) [builtins fixtures/dataclasses.pyi] [case testDataclassGenericInheritanceSpecialCase1] from dataclasses import dataclass from typing import Generic, TypeVar, List T = TypeVar("T") @dataclass class Parent(Generic[T]): x: List[T] @dataclass class Child1(Parent["Child2"]): ... @dataclass class Child2(Parent["Child1"]): ... def f(c: Child2) -> None: reveal_type(Child1([c]).x) # N: Revealed type is "builtins.list[__main__.Child2]" def g(c: Child1) -> None: reveal_type(Child2([c]).x) # N: Revealed type is "builtins.list[__main__.Child1]" [builtins fixtures/dataclasses.pyi] [case testDataclassGenericInheritanceSpecialCase2] from dataclasses import dataclass from typing import Generic, TypeVar T = TypeVar("T") # A subclass might be analyzed before base in import cycles. They are # defined here in reversed order to simulate this. @dataclass class Child1(Parent["Child2"]): x: int @dataclass class Child2(Parent["Child1"]): y: int @dataclass class Parent(Generic[T]): key: str Child1(x=1, key='') Child2(y=1, key='') [builtins fixtures/dataclasses.pyi] [case testDataclassGenericWithBound] from dataclasses import dataclass from typing import Generic, TypeVar T = TypeVar("T", bound="C") @dataclass class C(Generic[T]): x: int c: C[C] d: C[str] # E: Type argument "str" of "C" must be a subtype of "C[Any]" C(x=2) [builtins fixtures/dataclasses.pyi] [case testDataclassGenericBoundToInvalidTypeVarDoesNotCrash] import dataclasses from typing import Generic, TypeVar T = TypeVar("T", bound="NotDefined") # E: Name "NotDefined" is not defined @dataclasses.dataclass class C(Generic[T]): x: float [builtins fixtures/dataclasses.pyi] [case testDataclassInitVarCannotBeSet] from dataclasses import dataclass, InitVar @dataclass class C: x: InitVar[int] = 0 y: InitVar[str] = '' def f(self) -> None: # This works at runtime, but it seems like an abuse of the InitVar # feature and thus we don't support it self.x = 1 # E: "C" has no attribute "x" self.y: str = 'x' # E: "C" has no attribute "y" c = C() c2 = C(x=1) c.x # E: "C" has no attribute "x" [builtins fixtures/dataclasses.pyi] [case testDataclassCheckTypeVarBounds] from dataclasses import dataclass from typing import ClassVar, Protocol, Dict, TypeVar, Generic class DataclassProtocol(Protocol): __dataclass_fields__: ClassVar[Dict] T = TypeVar("T", bound=DataclassProtocol) @dataclass class MyDataclass: x: int = 1 class MyGeneric(Generic[T]): ... class MyClass(MyGeneric[MyDataclass]): ... [builtins fixtures/dataclasses.pyi] [case testDataclassWithMatchArgs] # flags: --python-version 3.10 from dataclasses import dataclass @dataclass class One: bar: int baz: str o: One reveal_type(o.__match_args__) # N: Revealed type is "tuple[Literal['bar'], Literal['baz']]" @dataclass(match_args=True) class Two: bar: int t: Two reveal_type(t.__match_args__) # N: Revealed type is "tuple[Literal['bar']]" @dataclass class Empty: ... e: Empty reveal_type(e.__match_args__) # N: Revealed type is "tuple[()]" [builtins fixtures/dataclasses.pyi] [case testDataclassWithMatchArgsAndKwOnly] # flags: --python-version 3.10 from dataclasses import dataclass, field @dataclass(kw_only=True) class One: a: int b: str reveal_type(One.__match_args__) # N: Revealed type is "tuple[()]" @dataclass(kw_only=True) class Two: a: int = field(kw_only=False) b: str reveal_type(Two.__match_args__) # N: Revealed type is "tuple[Literal['a']]" [builtins fixtures/dataclasses.pyi] [case testDataclassWithoutMatchArgs] # flags: --python-version 3.10 from dataclasses import dataclass @dataclass(match_args=False) class One: bar: int baz: str o: One reveal_type(o.__match_args__) # E: "One" has no attribute "__match_args__" \ # N: Revealed type is "Any" [builtins fixtures/dataclasses.pyi] [case testDataclassWithMatchArgsOldVersion] # flags: --python-version 3.9 from dataclasses import dataclass @dataclass(match_args=True) class One: bar: int o: One reveal_type(o.__match_args__) # E: "One" has no attribute "__match_args__" \ # N: Revealed type is "Any" @dataclass class Two: bar: int t: Two reveal_type(t.__match_args__) # E: "Two" has no attribute "__match_args__" \ # N: Revealed type is "Any" [builtins fixtures/dataclasses.pyi] [case testFinalInDataclass] from dataclasses import dataclass from typing import Final @dataclass class FirstClass: FIRST_CONST: Final = 3 # OK @dataclass class SecondClass: SECOND_CONST: Final = FirstClass.FIRST_CONST # E: Need type argument for Final[...] with non-literal default in dataclass reveal_type(FirstClass().FIRST_CONST) # N: Revealed type is "Literal[3]?" FirstClass().FIRST_CONST = 42 # E: Cannot assign to final attribute "FIRST_CONST" reveal_type(SecondClass().SECOND_CONST) # N: Revealed type is "Literal[3]?" SecondClass().SECOND_CONST = 42 # E: Cannot assign to final attribute "SECOND_CONST" [builtins fixtures/dataclasses.pyi] [case testDataclassFieldsProtocol] from dataclasses import dataclass from typing import Any, Protocol class ConfigProtocol(Protocol): __dataclass_fields__: dict[str, Any] def takes_cp(cp: ConfigProtocol): ... @dataclass class MyDataclass: x: int = 3 takes_cp(MyDataclass) [builtins fixtures/dataclasses.pyi] [case testDataclassTypeAnnotationAliasUpdated] import a [file a.py] from dataclasses import dataclass from b import B @dataclass class D: x: B reveal_type(D) # N: Revealed type is "def (x: builtins.list[b.C]) -> a.D" [file b.py] from typing import List import a class CC: ... class C(CC): ... B = List[C] [builtins fixtures/dataclasses.pyi] [case testDataclassSelfType] from dataclasses import dataclass from typing import Self, TypeVar, Generic, Optional T = TypeVar("T") @dataclass class LinkedList(Generic[T]): value: T next: Optional[Self] = None def meth(self) -> None: reveal_type(self.next) # N: Revealed type is "Union[Self`0, None]" l_int: LinkedList[int] = LinkedList(1, LinkedList("no", None)) # E: Argument 1 to "LinkedList" has incompatible type "str"; expected "int" @dataclass class SubLinkedList(LinkedList[int]): ... lst = SubLinkedList(1, LinkedList(2)) # E: Argument 2 to "SubLinkedList" has incompatible type "LinkedList[int]"; expected "Optional[SubLinkedList]" reveal_type(lst.next) # N: Revealed type is "Union[__main__.SubLinkedList, None]" reveal_type(SubLinkedList) # N: Revealed type is "def (value: builtins.int, next: Union[__main__.SubLinkedList, None] =) -> __main__.SubLinkedList" [builtins fixtures/dataclasses.pyi] [case testNoCrashOnNestedGenericCallable] from dataclasses import dataclass from typing import Generic, TypeVar, Callable T = TypeVar('T') R = TypeVar('R') X = TypeVar('X') @dataclass class Box(Generic[T]): inner: T @dataclass class Cont(Generic[R]): run: Box[Callable[[X], R]] def const_two(x: T) -> str: return "two" c = Cont(Box(const_two)) reveal_type(c) # N: Revealed type is "__main__.Cont[builtins.str]" [builtins fixtures/dataclasses.pyi] [case testNoCrashOnSelfWithForwardRefGenericDataclass] from typing import Generic, Sequence, TypeVar, Self from dataclasses import dataclass _T = TypeVar('_T', bound="Foo") @dataclass class Foo: foo: int @dataclass class Element(Generic[_T]): elements: Sequence[Self] @dataclass class Bar(Foo): ... e: Element[Bar] reveal_type(e.elements) # N: Revealed type is "typing.Sequence[__main__.Element[__main__.Bar]]" [builtins fixtures/dataclasses.pyi] [case testIfConditionsInDefinition] # flags: --python-version 3.11 --always-true TRUTH from dataclasses import dataclass from typing import TYPE_CHECKING TRUTH = False # Is set to --always-true @dataclass class Foo: if TYPE_CHECKING: present_1: int else: skipped_1: int if True: # Mypy does not know if it is True or False, so the block is used present_2: int if False: # Mypy does not know if it is True or False, so the block is used present_3: int if not TRUTH: skipped_2: int elif 123: present_4: int elif TRUTH: present_5: int else: skipped_3: int Foo( present_1=1, present_2=2, present_3=3, present_4=4, present_5=5, ) [builtins fixtures/dataclasses.pyi] [case testReplace] from dataclasses import dataclass, replace, InitVar from typing import ClassVar @dataclass class A: # N: "replace" of "A" defined here x: int q: InitVar[int] q2: InitVar[int] = 0 c: ClassVar[int] a = A(x=42, q=7) a2 = replace(a) # E: Missing named argument "q" for "replace" of "A" a2 = replace(a, q=42) a2 = replace(a, x=42, q=42) a2 = replace(a, x=42, q=42, c=7) # E: Unexpected keyword argument "c" for "replace" of "A" a2 = replace(a, x='42', q=42) # E: Argument "x" to "replace" of "A" has incompatible type "str"; expected "int" a2 = replace(a, q='42') # E: Argument "q" to "replace" of "A" has incompatible type "str"; expected "int" reveal_type(a2) # N: Revealed type is "__main__.A" [builtins fixtures/tuple.pyi] [case testReplaceUnion] from typing import Generic, Union, TypeVar from dataclasses import dataclass, replace, InitVar T = TypeVar('T') @dataclass class A(Generic[T]): x: T # exercises meet(T=int, int) = int y: bool # exercises meet(bool, int) = bool z: str # exercises meet(str, bytes) = Never w: dict # exercises meet(dict, Never) = Never init_var: InitVar[int] # exercises (non-optional, optional) = non-optional @dataclass class B: x: int y: int z: bytes init_var: int a_or_b: Union[A[int], B] _ = replace(a_or_b, x=42, y=True, init_var=42) _ = replace(a_or_b, x=42, y=True) # E: Missing named argument "init_var" for "replace" of "Union[A[int], B]" _ = replace(a_or_b, x=42, y=True, z='42', init_var=42) # E: Argument "z" to "replace" of "Union[A[int], B]" has incompatible type "str"; expected "Never" _ = replace(a_or_b, x=42, y=True, w={}, init_var=42) # E: Argument "w" to "replace" of "Union[A[int], B]" has incompatible type "dict[Never, Never]"; expected "Never" _ = replace(a_or_b, y=42, init_var=42) # E: Argument "y" to "replace" of "Union[A[int], B]" has incompatible type "int"; expected "bool" [builtins fixtures/tuple.pyi] [case testReplaceUnionOfTypeVar] from typing import Generic, Union, TypeVar from dataclasses import dataclass, replace @dataclass class A: x: int y: int z: str w: dict class B: pass TA = TypeVar('TA', bound=A) TB = TypeVar('TB', bound=B) def f(b_or_t: Union[TA, TB, int]) -> None: a2 = replace(b_or_t) # E: Value of type variable "_DataclassT" of "replace" cannot be "Union[TA, TB, int]" [builtins fixtures/tuple.pyi] [case testReplaceTypeVarBoundNotDataclass] from dataclasses import dataclass, replace from typing import Union, TypeVar TInt = TypeVar('TInt', bound=int) TAny = TypeVar('TAny') TNone = TypeVar('TNone', bound=None) TUnion = TypeVar('TUnion', bound=Union[str, int]) def f1(t: TInt) -> None: _ = replace(t, x=42) # E: Value of type variable "_DataclassT" of "replace" cannot be "TInt" def f2(t: TAny) -> TAny: return replace(t, x='spam') # E: Value of type variable "_DataclassT" of "replace" cannot be "TAny" def f3(t: TNone) -> TNone: return replace(t, x='spam') # E: Value of type variable "_DataclassT" of "replace" cannot be "TNone" def f4(t: TUnion) -> TUnion: return replace(t, x='spam') # E: Value of type variable "_DataclassT" of "replace" cannot be "TUnion" [builtins fixtures/tuple.pyi] [case testReplaceTypeVarBound] from dataclasses import dataclass, replace from typing import TypeVar @dataclass class A: x: int @dataclass class B(A): pass TA = TypeVar('TA', bound=A) def f(t: TA) -> TA: t2 = replace(t, x=42) reveal_type(t2) # N: Revealed type is "TA`-1" _ = replace(t, x='42') # E: Argument "x" to "replace" of "TA" has incompatible type "str"; expected "int" return t2 f(A(x=42)) f(B(x=42)) [builtins fixtures/tuple.pyi] [case testReplaceAny] from dataclasses import replace from typing import Any a: Any a2 = replace(a) reveal_type(a2) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testReplaceNotDataclass] from dataclasses import replace replace(5) # E: Value of type variable "_DataclassT" of "replace" cannot be "int" class C: pass replace(C()) # E: Value of type variable "_DataclassT" of "replace" cannot be "C" replace(None) # E: Value of type variable "_DataclassT" of "replace" cannot be "None" [builtins fixtures/tuple.pyi] [case testReplaceIsDataclass] from dataclasses import is_dataclass, replace def f(x: object) -> None: _ = replace(x) # E: Value of type variable "_DataclassT" of "replace" cannot be "object" if is_dataclass(x): _ = replace(x) # E: Value of type variable "_DataclassT" of "replace" cannot be "Union[DataclassInstance, type[DataclassInstance]]" if not isinstance(x, type): _ = replace(x) [builtins fixtures/tuple.pyi] [case testReplaceGeneric] from dataclasses import dataclass, replace, InitVar from typing import ClassVar, Generic, TypeVar T = TypeVar('T') @dataclass class A(Generic[T]): x: T a = A(x=42) reveal_type(a) # N: Revealed type is "__main__.A[builtins.int]" a2 = replace(a, x=42) reveal_type(a2) # N: Revealed type is "__main__.A[builtins.int]" a2 = replace(a, x='42') # E: Argument "x" to "replace" of "A[int]" has incompatible type "str"; expected "int" reveal_type(a2) # N: Revealed type is "__main__.A[builtins.int]" [builtins fixtures/tuple.pyi] [case testPostInitNotMethod] def __post_init__() -> None: pass [case testPostInitCorrectSignature] from typing import Any, Generic, TypeVar, Callable, Self from dataclasses import dataclass, InitVar @dataclass class Test1: x: int def __post_init__(self) -> None: ... @dataclass class Test2: x: int y: InitVar[int] z: str def __post_init__(self, y: int) -> None: ... @dataclass class Test3: x: InitVar[int] y: InitVar[str] def __post_init__(self, x: int, y: str) -> None: ... @dataclass class Test4: x: int y: InitVar[str] z: InitVar[bool] = True def __post_init__(self, y: str, z: bool) -> None: ... @dataclass class Test5: y: InitVar[str] = 'a' z: InitVar[bool] = True def __post_init__(self, y: str = 'a', z: bool = True) -> None: ... F = TypeVar('F', bound=Callable[..., Any]) def identity(f: F) -> F: return f @dataclass class Test6: y: InitVar[str] @identity # decorated method works def __post_init__(self, y: str) -> None: ... T = TypeVar('T') @dataclass class Test7(Generic[T]): t: InitVar[T] def __post_init__(self, t: T) -> None: ... @dataclass class Test8: s: InitVar[Self] def __post_init__(self, s: Self) -> None: ... [builtins fixtures/dataclasses.pyi] [case testPostInitSubclassing] from dataclasses import dataclass, InitVar @dataclass class Base: a: str x: InitVar[int] def __post_init__(self, x: int) -> None: ... @dataclass class Child(Base): b: str y: InitVar[str] def __post_init__(self, x: int, y: str) -> None: ... @dataclass class GrandChild(Child): c: int z: InitVar[str] = "a" def __post_init__(self, x: int, y: str, z: str) -> None: ... [builtins fixtures/dataclasses.pyi] [case testPostInitNotADataclassCheck] from dataclasses import dataclass, InitVar class Regular: __post_init__ = 1 # can be whatever class Base: x: InitVar[int] def __post_init__(self) -> None: ... # can be whatever @dataclass class Child(Base): y: InitVar[str] def __post_init__(self, y: str) -> None: ... [builtins fixtures/dataclasses.pyi] [case testPostInitMissingParam] from dataclasses import dataclass, InitVar @dataclass class Child: y: InitVar[str] def __post_init__(self) -> None: ... [builtins fixtures/dataclasses.pyi] [out] main:6: error: Signature of "__post_init__" incompatible with supertype "dataclass" main:6: note: Superclass: main:6: note: def __post_init__(self: Child, y: str) -> None main:6: note: Subclass: main:6: note: def __post_init__(self: Child) -> None [case testPostInitWrongTypeAndName] from dataclasses import dataclass, InitVar @dataclass class Test1: y: InitVar[str] def __post_init__(self, x: int) -> None: ... # E: Argument 2 of "__post_init__" is incompatible with supertype "dataclass"; supertype defines the argument type as "str" @dataclass class Test2: y: InitVar[str] = 'a' def __post_init__(self, x: int) -> None: ... # E: Argument 2 of "__post_init__" is incompatible with supertype "dataclass"; supertype defines the argument type as "str" [builtins fixtures/dataclasses.pyi] [case testPostInitExtraParam] from dataclasses import dataclass, InitVar @dataclass class Child: y: InitVar[str] def __post_init__(self, y: str, z: int) -> None: ... [builtins fixtures/dataclasses.pyi] [out] main:6: error: Signature of "__post_init__" incompatible with supertype "dataclass" main:6: note: Superclass: main:6: note: def __post_init__(self: Child, y: str) -> None main:6: note: Subclass: main:6: note: def __post_init__(self: Child, y: str, z: int) -> None [case testPostInitReturnType] from dataclasses import dataclass, InitVar @dataclass class Child: y: InitVar[str] def __post_init__(self, y: str) -> int: ... # E: Return type "int" of "__post_init__" incompatible with return type "None" in supertype "dataclass" [builtins fixtures/dataclasses.pyi] [case testPostInitDecoratedMethodError] from dataclasses import dataclass, InitVar from typing import Any, Callable, TypeVar F = TypeVar('F', bound=Callable[..., Any]) def identity(f: F) -> F: return f @dataclass class Klass: y: InitVar[str] @identity def __post_init__(self) -> None: ... [builtins fixtures/dataclasses.pyi] [out] main:11: error: Signature of "__post_init__" incompatible with supertype "dataclass" main:11: note: Superclass: main:11: note: def __post_init__(self: Klass, y: str) -> None main:11: note: Subclass: main:11: note: def __post_init__(self: Klass) -> None [case testPostInitIsNotAFunction] from dataclasses import dataclass, InitVar @dataclass class Test: y: InitVar[str] __post_init__ = 1 # E: "__post_init__" method must be an instance method [builtins fixtures/dataclasses.pyi] [case testPostInitClassMethod] from dataclasses import dataclass, InitVar @dataclass class Test: y: InitVar[str] @classmethod def __post_init__(cls) -> None: ... [builtins fixtures/dataclasses.pyi] [out] main:7: error: Signature of "__post_init__" incompatible with supertype "dataclass" main:7: note: Superclass: main:7: note: def __post_init__(self: Test, y: str) -> None main:7: note: Subclass: main:7: note: @classmethod main:7: note: def __post_init__(cls: type[Test]) -> None [case testPostInitStaticMethod] from dataclasses import dataclass, InitVar @dataclass class Test: y: InitVar[str] @staticmethod def __post_init__() -> None: ... [builtins fixtures/dataclasses.pyi] [out] main:7: error: Signature of "__post_init__" incompatible with supertype "dataclass" main:7: note: Superclass: main:7: note: def __post_init__(self: Test, y: str) -> None main:7: note: Subclass: main:7: note: @staticmethod main:7: note: def __post_init__() -> None [case testProtocolNoCrash] from typing import Protocol, Union, ClassVar from dataclasses import dataclass, field DEFAULT = 0 @dataclass class Test(Protocol): x: int def reset(self) -> None: self.x = DEFAULT [builtins fixtures/dataclasses.pyi] [case testProtocolNoCrashOnJoining] from dataclasses import dataclass from typing import Protocol @dataclass class MyDataclass(Protocol): ... a: MyDataclass b = [a, a] # trigger joining the types [builtins fixtures/dataclasses.pyi] [case testPropertyAndFieldRedefinitionNoCrash] from dataclasses import dataclass @dataclass class Foo: @property def c(self) -> int: return 0 c: int # E: Name "c" already defined on line 5 [builtins fixtures/dataclasses.pyi] [case testDataclassInheritanceWorksWithExplicitOverrides] # flags: --enable-error-code explicit-override from dataclasses import dataclass @dataclass class Base: x: int @dataclass class Child(Base): y: int [builtins fixtures/dataclasses.pyi] [case testDataclassInheritanceWorksWithExplicitOverridesAndOrdering] # flags: --enable-error-code explicit-override from dataclasses import dataclass @dataclass(order=True) class Base: x: int @dataclass(order=True) class Child(Base): y: int [builtins fixtures/dataclasses.pyi] [case testDunderReplacePresent] # flags: --python-version 3.13 from dataclasses import dataclass, field @dataclass class Coords: x: int y: int # non-init fields are not allowed with replace: z: int = field(init=False) replaced = Coords(2, 4).__replace__(x=2, y=5) reveal_type(replaced) # N: Revealed type is "__main__.Coords" replaced = Coords(2, 4).__replace__(x=2) reveal_type(replaced) # N: Revealed type is "__main__.Coords" Coords(2, 4).__replace__(x="asdf") # E: Argument "x" to "__replace__" of "Coords" has incompatible type "str"; expected "int" Coords(2, 4).__replace__(23) # E: Too many positional arguments for "__replace__" of "Coords" Coords(2, 4).__replace__(23, 25) # E: Too many positional arguments for "__replace__" of "Coords" Coords(2, 4).__replace__(x=23, y=25, z=42) # E: Unexpected keyword argument "z" for "__replace__" of "Coords" from typing import Generic, TypeVar T = TypeVar('T') @dataclass class Gen(Generic[T]): x: T replaced_2 = Gen(2).__replace__(x=2) reveal_type(replaced_2) # N: Revealed type is "__main__.Gen[builtins.int]" Gen(2).__replace__(x="not an int") # E: Argument "x" to "__replace__" of "Gen" has incompatible type "str"; expected "int" [builtins fixtures/tuple.pyi] [case testDunderReplaceCovariantOverride] # flags: --python-version 3.13 --enable-error-code mutable-override from dataclasses import dataclass from typing import Optional from typing_extensions import dataclass_transform @dataclass class Base: a: Optional[int] @dataclass class Child(Base): a: int # E: Covariant override of a mutable attribute (base class "Base" defined the type as "Optional[int]", expression has type "int") @dataclass class Other(Base): a: str # E: Incompatible types in assignment (expression has type "str", base class "Base" defined the type as "Optional[int]") @dataclass_transform(kw_only_default=True) class DCMeta(type): ... class X(metaclass=DCMeta): a: Optional[int] class Y(X): a: int # E: Covariant override of a mutable attribute (base class "X" defined the type as "Optional[int]", expression has type "int") [builtins fixtures/tuple.pyi] [case testFrozenWithFinal] from dataclasses import dataclass from typing import Final @dataclass(frozen=True) class My: a: Final = 1 b: Final[int] = 2 reveal_type(My.a) # N: Revealed type is "Literal[1]?" reveal_type(My.b) # N: Revealed type is "builtins.int" My.a = 1 # E: Cannot assign to final attribute "a" My.b = 2 # E: Cannot assign to final attribute "b" m = My() reveal_type(m.a) # N: Revealed type is "Literal[1]?" reveal_type(m.b) # N: Revealed type is "builtins.int" m.a = 1 # E: Cannot assign to final attribute "a" m.b = 2 # E: Cannot assign to final attribute "b" [builtins fixtures/tuple.pyi] [case testNoCrashForDataclassNamedTupleCombination] # flags: --python-version 3.13 from dataclasses import dataclass from typing import NamedTuple @dataclass class A(NamedTuple): # E: A NamedTuple cannot be a dataclass i: int class B1(NamedTuple): i: int @dataclass class B2(B1): # E: A NamedTuple cannot be a dataclass pass [builtins fixtures/tuple.pyi] [case testDataclassesTypeGuard] import dataclasses raw_target: object if isinstance(raw_target, type) and dataclasses.is_dataclass(raw_target): reveal_type(raw_target) # N: Revealed type is "type[dataclasses.DataclassInstance]" [builtins fixtures/tuple.pyi] [case testDataclassKwOnlyArgsLast] from dataclasses import dataclass, field @dataclass class User: id: int = field(kw_only=True) name: str User("Foo", id=0) [builtins fixtures/tuple.pyi] [case testDataclassKwOnlyArgsDefaultAllowedNonLast] from dataclasses import dataclass, field @dataclass class User: id: int = field(kw_only=True, default=0) name: str User() # E: Missing positional argument "name" in call to "User" User("") User(0) # E: Argument 1 to "User" has incompatible type "int"; expected "str" User("", 0) # E: Too many positional arguments for "User" User("", id=0) User("", name="") # E: "User" gets multiple values for keyword argument "name" [builtins fixtures/tuple.pyi] [case testDataclassDefaultFactoryTypedDict] from dataclasses import dataclass, field from mypy_extensions import TypedDict class Person(TypedDict, total=False): name: str @dataclass class Job: person: Person = field(default_factory=Person) class PersonBad(TypedDict): name: str @dataclass class JobBad: person: PersonBad = field(default_factory=PersonBad) # E: Argument "default_factory" to "field" has incompatible type "type[PersonBad]"; expected "Callable[[], PersonBad]" [builtins fixtures/dict.pyi] [case testDataclassInitVarRedefinitionNoCrash] # https://github.com/python/mypy/issues/19443 from dataclasses import InitVar, dataclass class ClassA: def value(self) -> int: return 0 @dataclass class ClassB(ClassA): value: InitVar[int] def value(self) -> int: # E: Name "value" already defined on line 10 return 0 [builtins fixtures/dict.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-deprecated.test0000644000175100017510000006454515112307767021216 0ustar00runnerrunner-- Type checker test cases for reporting deprecations. [case testDeprecatedDisabled] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... f() [builtins fixtures/tuple.pyi] [case testDeprecatedAsNoteWithErrorCode] # flags: --enable-error-code=deprecated --show-error-codes --report-deprecated-as-note from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... f() # type: ignore[deprecated] f() # N: function __main__.f is deprecated: use f2 instead [deprecated] [builtins fixtures/tuple.pyi] [case testDeprecatedAsErrorWithErrorCode] # flags: --enable-error-code=deprecated --show-error-codes from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... f() # type: ignore[deprecated] f() # E: function __main__.f is deprecated: use f2 instead [deprecated] [builtins fixtures/tuple.pyi] [case testDeprecatedFunction] # flags: --enable-error-code=deprecated from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... f # E: function __main__.f is deprecated: use f2 instead # type: ignore[deprecated] f(1) # E: function __main__.f is deprecated: use f2 instead \ # E: Too many arguments for "f" f[1] # E: function __main__.f is deprecated: use f2 instead \ # E: Value of type "Callable[[], None]" is not indexable g = f # E: function __main__.f is deprecated: use f2 instead g() t = (f, f, g) # E: function __main__.f is deprecated: use f2 instead [builtins fixtures/tuple.pyi] [case testDeprecatedFunctionDifferentModule] # flags: --enable-error-code=deprecated import m import p.s import m as n import p.s as ps from m import f # E: function m.f is deprecated: use f2 instead from p.s import g # E: function p.s.g is deprecated: use g2 instead from k import * m.f() # E: function m.f is deprecated: use f2 instead p.s.g() # E: function p.s.g is deprecated: use g2 instead n.f() # E: function m.f is deprecated: use f2 instead ps.g() # E: function p.s.g is deprecated: use g2 instead f() g() h() # E: function k.h is deprecated: use h2 instead [file m.py] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... [file p/s.py] from typing_extensions import deprecated @deprecated("use g2 instead") def g() -> None: ... [file k.py] from typing_extensions import deprecated @deprecated("use h2 instead") def h() -> None: ... [builtins fixtures/tuple.pyi] [case testDeprecatedClass] # flags: --enable-error-code=deprecated from typing import Callable, List, Optional, Tuple, Union from typing_extensions import deprecated, TypeAlias, TypeVar @deprecated("use C2 instead") class C: ... c: C # E: class __main__.C is deprecated: use C2 instead C() # E: class __main__.C is deprecated: use C2 instead C.missing() # E: class __main__.C is deprecated: use C2 instead \ # E: "type[C]" has no attribute "missing" C.__init__(c) # E: class __main__.C is deprecated: use C2 instead C(1) # E: class __main__.C is deprecated: use C2 instead \ # E: Too many arguments for "C" D = C # E: class __main__.C is deprecated: use C2 instead D() t = (C, C, D) # E: class __main__.C is deprecated: use C2 instead u1: Union[C, int] = 1 # E: class __main__.C is deprecated: use C2 instead u1 = 1 u2 = 1 # type: Union[C, int] # E: class __main__.C is deprecated: use C2 instead u2 = 1 c1 = c2 = C() # E: class __main__.C is deprecated: use C2 instead i, c3 = 1, C() # E: class __main__.C is deprecated: use C2 instead class E: ... x1: Optional[C] # E: class __main__.C is deprecated: use C2 instead x2: Union[D, C, E] # E: class __main__.C is deprecated: use C2 instead x3: Union[D, Optional[C], E] # E: class __main__.C is deprecated: use C2 instead x4: Tuple[D, C, E] # E: class __main__.C is deprecated: use C2 instead x5: Tuple[Tuple[D, C], E] # E: class __main__.C is deprecated: use C2 instead x6: List[C] # E: class __main__.C is deprecated: use C2 instead x7: List[List[C]] # E: class __main__.C is deprecated: use C2 instead x8: List[Optional[Tuple[Union[List[C], int]]]] # E: class __main__.C is deprecated: use C2 instead x9: Callable[[int], C] # E: class __main__.C is deprecated: use C2 instead x10: Callable[[int, C, int], int] # E: class __main__.C is deprecated: use C2 instead T = TypeVar("T") A1: TypeAlias = Optional[C] # E: class __main__.C is deprecated: use C2 instead x11: A1 A2: TypeAlias = List[Union[A2, C]] # E: class __main__.C is deprecated: use C2 instead x12: A2 A3: TypeAlias = List[Optional[T]] x13: A3[C] # E: class __main__.C is deprecated: use C2 instead [builtins fixtures/tuple.pyi] [case testDeprecatedBaseClass] # flags: --enable-error-code=deprecated from typing_extensions import deprecated @deprecated("use C2 instead") class C: ... class D(C): ... # E: class __main__.C is deprecated: use C2 instead class E(D): ... class F(D, C): ... # E: class __main__.C is deprecated: use C2 instead [builtins fixtures/tuple.pyi] [case testDeprecatedClassInTypeVar] # flags: --enable-error-code=deprecated from typing import Generic, TypeVar from typing_extensions import deprecated class B: ... @deprecated("use C2 instead") class C: ... T = TypeVar("T", bound=C) # E: class __main__.C is deprecated: use C2 instead def f(x: T) -> T: ... class D(Generic[T]): ... V = TypeVar("V", B, C) # E: class __main__.C is deprecated: use C2 instead def g(x: V) -> V: ... class E(Generic[V]): ... [builtins fixtures/tuple.pyi] [case testDeprecatedClassInCast] # flags: --enable-error-code=deprecated from typing import cast, Generic from typing_extensions import deprecated class B: ... @deprecated("use C2 instead") class C: ... c = C() # E: class __main__.C is deprecated: use C2 instead b = cast(B, c) [builtins fixtures/tuple.pyi] [case testDeprecatedInstanceInFunctionDefinition] # flags: --enable-error-code=deprecated from typing import Generic, List, Optional, TypeVar from typing_extensions import deprecated @deprecated("use C2 instead") class C: ... def f1(c: C) -> None: # E: class __main__.C is deprecated: use C2 instead def g1() -> None: ... def f2(c: List[Optional[C]]) -> None: # E: class __main__.C is deprecated: use C2 instead def g2() -> None: ... def f3() -> C: # E: class __main__.C is deprecated: use C2 instead def g3() -> None: ... return C() # E: class __main__.C is deprecated: use C2 instead def f4() -> List[Optional[C]]: # E: class __main__.C is deprecated: use C2 instead def g4() -> None: ... return [] def f5() -> None: def g5(c: C) -> None: ... # E: class __main__.C is deprecated: use C2 instead def f6() -> None: def g6() -> C: ... # E: class __main__.C is deprecated: use C2 instead @deprecated("use D2 instead") class D: def f1(self, c: C) -> None: # E: class __main__.C is deprecated: use C2 instead def g1() -> None: ... def f2(self, c: List[Optional[C]]) -> None: # E: class __main__.C is deprecated: use C2 instead def g2() -> None: ... def f3(self) -> None: def g3(c: C) -> None: ... # E: class __main__.C is deprecated: use C2 instead def f4(self) -> None: def g4() -> C: ... # E: class __main__.C is deprecated: use C2 instead T = TypeVar("T") @deprecated("use E2 instead") class E(Generic[T]): def f1(self: E[C]) -> None: ... # E: class __main__.C is deprecated: use C2 instead def f2(self, e: E[C]) -> None: ... # E: class __main__.C is deprecated: use C2 instead def f3(self) -> E[C]: ... # E: class __main__.C is deprecated: use C2 instead [builtins fixtures/tuple.pyi] [case testDeprecatedClassDifferentModule] # flags: --enable-error-code=deprecated import m import p.s import m as n import p.s as ps from m import B, C # E: class m.B is deprecated: use B2 instead \ # E: class m.C is deprecated: use C2 instead from p.s import D # E: class p.s.D is deprecated: use D2 instead from k import * m.C() # E: class m.C is deprecated: use C2 instead p.s.D() # E: class p.s.D is deprecated: use D2 instead n.C() # E: class m.C is deprecated: use C2 instead ps.D() # E: class p.s.D is deprecated: use D2 instead C() D() E() # E: class k.E is deprecated: use E2 instead x1: m.A # E: class m.A is deprecated: use A2 instead x2: m.A = m.A() # E: class m.A is deprecated: use A2 instead y1: B y2: B = B() [file m.py] from typing_extensions import deprecated @deprecated("use A2 instead") class A: ... @deprecated("use B2 instead") class B: ... @deprecated("use C2 instead") class C: ... [file p/s.py] from typing_extensions import deprecated @deprecated("use D2 instead") class D: ... [file k.py] from typing_extensions import deprecated @deprecated("use E2 instead") class E: ... [builtins fixtures/tuple.pyi] [case testDeprecatedClassInitMethod] # flags: --enable-error-code=deprecated from typing_extensions import deprecated @deprecated("use C2 instead") class C: def __init__(self) -> None: ... c: C # E: class __main__.C is deprecated: use C2 instead C() # E: class __main__.C is deprecated: use C2 instead C.__init__(c) # E: class __main__.C is deprecated: use C2 instead [builtins fixtures/tuple.pyi] [case testDeprecatedSpecialMethods] # flags: --enable-error-code=deprecated from typing import Iterator from typing_extensions import deprecated class A: @deprecated("no A + int") def __add__(self, v: int) -> None: ... @deprecated("no int + A") def __radd__(self, v: int) -> None: ... @deprecated("no A = A + int") def __iadd__(self, v: int) -> A: ... @deprecated("no iteration") def __iter__(self) -> Iterator[int]: ... @deprecated("no in") def __contains__(self, v: int) -> int: ... @deprecated("no integer") def __int__(self) -> int: ... @deprecated("no inversion") def __invert__(self) -> A: ... class B: @deprecated("still no in") def __contains__(self, v: int) -> int: ... a = A() b = B() a + 1 # E: function __main__.A.__add__ is deprecated: no A + int 1 + a # E: function __main__.A.__radd__ is deprecated: no int + A a += 1 # E: function __main__.A.__iadd__ is deprecated: no A = A + int for i in a: # E: function __main__.A.__iter__ is deprecated: no iteration reveal_type(i) # N: Revealed type is "builtins.int" 1 in a # E: function __main__.A.__contains__ is deprecated: no in 1 in b # E: function __main__.B.__contains__ is deprecated: still no in ~a # E: function __main__.A.__invert__ is deprecated: no inversion [builtins fixtures/tuple.pyi] [case testDeprecatedOverloadedInstanceMethods] # flags: --enable-error-code=deprecated from typing import Iterator, Union, overload from typing_extensions import deprecated class A: @overload @deprecated("pass `str` instead") def f(self, v: int) -> None: ... @overload def f(self, v: str) -> None: ... def f(self, v: Union[int, str]) -> None: ... @overload def g(self, v: int) -> None: ... @overload @deprecated("pass `int` instead") def g(self, v: str) -> None: ... def g(self, v: Union[int, str]) -> None: ... @overload def h(self, v: int) -> A: ... @overload def h(self, v: str) -> A: ... @deprecated("use `h2` instead") def h(self, v: Union[int, str]) -> A: ... class B(A): ... a = A() a.f(1) # E: overload def (self: __main__.A, v: builtins.int) of function __main__.A.f is deprecated: pass `str` instead a.f("x") a.g(1) a.g("x") # E: overload def (self: __main__.A, v: builtins.str) of function __main__.A.g is deprecated: pass `int` instead a.h(1) # E: function __main__.A.h is deprecated: use `h2` instead a.h("x") # E: function __main__.A.h is deprecated: use `h2` instead b = B() b.f(1) # E: overload def (self: __main__.A, v: builtins.int) of function __main__.A.f is deprecated: pass `str` instead b.f("x") b.g(1) b.g("x") # E: overload def (self: __main__.A, v: builtins.str) of function __main__.A.g is deprecated: pass `int` instead b.h(1) # E: function __main__.A.h is deprecated: use `h2` instead b.h("x") # E: function __main__.A.h is deprecated: use `h2` instead [builtins fixtures/tuple.pyi] [case testDeprecatedOverloadedClassMethods] # flags: --enable-error-code=deprecated from typing import Iterator, Union, overload from typing_extensions import deprecated class A: @overload @classmethod @deprecated("pass `str` instead") def f(cls, v: int) -> None: ... @overload @classmethod def f(cls, v: str) -> None: ... @classmethod def f(cls, v: Union[int, str]) -> None: ... @overload @classmethod def g(cls, v: int) -> None: ... @overload @classmethod @deprecated("pass `int` instead") def g(cls, v: str) -> None: ... @classmethod def g(cls, v: Union[int, str]) -> None: ... @overload @classmethod def h(cls, v: int) -> A: ... @overload @classmethod def h(cls, v: str) -> A: ... @deprecated("use `h2` instead") @classmethod def h(cls, v: Union[int, str]) -> A: ... class B(A): ... a = A() a.f(1) # E: overload def (cls: type[__main__.A], v: builtins.int) of function __main__.A.f is deprecated: pass `str` instead a.f("x") a.g(1) a.g("x") # E: overload def (cls: type[__main__.A], v: builtins.str) of function __main__.A.g is deprecated: pass `int` instead a.h(1) # E: function __main__.A.h is deprecated: use `h2` instead a.h("x") # E: function __main__.A.h is deprecated: use `h2` instead b = B() b.f(1) # E: overload def (cls: type[__main__.A], v: builtins.int) of function __main__.A.f is deprecated: pass `str` instead b.f("x") b.g(1) b.g("x") # E: overload def (cls: type[__main__.A], v: builtins.str) of function __main__.A.g is deprecated: pass `int` instead b.h(1) # E: function __main__.A.h is deprecated: use `h2` instead b.h("x") # E: function __main__.A.h is deprecated: use `h2` instead [builtins fixtures/tuple.pyi] [case testDeprecatedOverloadedStaticMethods] # flags: --enable-error-code=deprecated from typing import Iterator, Union, overload from typing_extensions import deprecated class A: @overload @staticmethod @deprecated("pass `str` instead") def f(v: int) -> None: ... @overload @staticmethod def f(v: str) -> None: ... @staticmethod def f(v: Union[int, str]) -> None: ... @overload @staticmethod def g(v: int) -> None: ... @overload @staticmethod @deprecated("pass `int` instead") def g(v: str) -> None: ... @staticmethod def g(v: Union[int, str]) -> None: ... @overload @staticmethod def h(v: int) -> A: ... @overload @staticmethod def h(v: str) -> A: ... @deprecated("use `h2` instead") @staticmethod def h(v: Union[int, str]) -> A: ... class B(A): ... a = A() a.f(1) # E: overload def (v: builtins.int) of function __main__.A.f is deprecated: pass `str` instead a.f("x") a.g(1) a.g("x") # E: overload def (v: builtins.str) of function __main__.A.g is deprecated: pass `int` instead a.h(1) # E: function __main__.A.h is deprecated: use `h2` instead a.h("x") # E: function __main__.A.h is deprecated: use `h2` instead b = B() b.f(1) # E: overload def (v: builtins.int) of function __main__.A.f is deprecated: pass `str` instead b.f("x") b.g(1) b.g("x") # E: overload def (v: builtins.str) of function __main__.A.g is deprecated: pass `int` instead b.h(1) # E: function __main__.A.h is deprecated: use `h2` instead b.h("x") # E: function __main__.A.h is deprecated: use `h2` instead [builtins fixtures/classmethod.pyi] [case testDeprecatedOverloadedSpecialMethods] # flags: --enable-error-code=deprecated from typing import Iterator, Union, overload from typing_extensions import deprecated class A: @overload @deprecated("no A + int") def __add__(self, v: int) -> None: ... @overload def __add__(self, v: str) -> None: ... def __add__(self, v: Union[int, str]) -> None: ... @overload def __radd__(self, v: int) -> None: ... @overload @deprecated("no str + A") def __radd__(self, v: str) -> None: ... def __radd__(self, v: Union[int, str]) -> None: ... @overload def __iadd__(self, v: int) -> A: ... @overload def __iadd__(self, v: str) -> A: ... @deprecated("no A += Any") def __iadd__(self, v: Union[int, str]) -> A: ... a = A() a + 1 # E: overload def (__main__.A, builtins.int) of function __main__.A.__add__ is deprecated: no A + int a + "x" 1 + a "x" + a # E: overload def (__main__.A, builtins.str) of function __main__.A.__radd__ is deprecated: no str + A a += 1 # E: function __main__.A.__iadd__ is deprecated: no A += Any a += "x" # E: function __main__.A.__iadd__ is deprecated: no A += Any [builtins fixtures/tuple.pyi] [case testDeprecatedMethod] # flags: --enable-error-code=deprecated from typing_extensions import deprecated class C: @deprecated("use g instead") def f(self) -> None: ... def g(self) -> None: ... @staticmethod @deprecated("use g instead") def h() -> None: ... @deprecated("use g instead") @staticmethod def k() -> None: ... C.f # E: function __main__.C.f is deprecated: use g instead C().f # E: function __main__.C.f is deprecated: use g instead C().f() # E: function __main__.C.f is deprecated: use g instead C().f(1) # E: function __main__.C.f is deprecated: use g instead \ # E: Too many arguments for "f" of "C" f = C().f # E: function __main__.C.f is deprecated: use g instead f() t = (C.f, C.f, C.g) # E: function __main__.C.f is deprecated: use g instead C().g() C().h() # E: function __main__.C.h is deprecated: use g instead C().k() # E: function __main__.C.k is deprecated: use g instead [builtins fixtures/callable.pyi] [case testDeprecatedClassWithDeprecatedMethod] # flags: --enable-error-code=deprecated from typing_extensions import deprecated @deprecated("use D instead") class C: @deprecated("use g instead") def f(self) -> None: ... def g(self) -> None: ... C().f() # E: class __main__.C is deprecated: use D instead \ # E: function __main__.C.f is deprecated: use g instead C().g() # E: class __main__.C is deprecated: use D instead [builtins fixtures/callable.pyi] [case testDeprecatedProperty] # flags: --enable-error-code=deprecated from typing_extensions import deprecated class C: @property @deprecated("use f2 instead") def f(self) -> int: ... @property def g(self) -> int: ... @g.setter @deprecated("use g2 instead") def g(self, v: int) -> None: ... C.f # E: function __main__.C.f is deprecated: use f2 instead C().f # E: function __main__.C.f is deprecated: use f2 instead C().f() # E: function __main__.C.f is deprecated: use f2 instead \ # E: "int" not callable C().f = 1 # E: function __main__.C.f is deprecated: use f2 instead \ # E: Property "f" defined in "C" is read-only C.g C().g C().g = 1 # E: function __main__.C.g is deprecated: use g2 instead C().g = "x" # E: function __main__.C.g is deprecated: use g2 instead \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/property.pyi] [case testDeprecatedDescriptor] # flags: --enable-error-code=deprecated from typing import Any, Generic, Optional, overload, TypeVar, Union from typing_extensions import deprecated T = TypeVar("T") @deprecated("use E1 instead") class D1: def __get__(self, obj: Optional[C], objtype: Any) -> Union[D1, int]: ... class D2: @deprecated("use E2.__get__ instead") def __get__(self, obj: Optional[C], objtype: Any) -> Union[D2, int]: ... @deprecated("use E2.__set__ instead") def __set__(self, obj: C, value: int) -> None: ... class D3: @overload @deprecated("use E3.__get__ instead") def __get__(self, obj: None, objtype: Any) -> D3: ... @overload @deprecated("use E3.__get__ instead") def __get__(self, obj: C, objtype: Any) -> int: ... def __get__(self, obj: Optional[C], objtype: Any) -> Union[D3, int]: ... @overload def __set__(self, obj: C, value: int) -> None: ... @overload @deprecated("use E3.__set__ instead") def __set__(self, obj: C, value: str) -> None: ... def __set__(self, obj: C, value: Union[int, str]) -> None: ... class D4(Generic[T]): @overload def __get__(self, obj: None, objtype: Any) -> T: ... @overload @deprecated("deprecated instance access") def __get__(self, obj: C, objtype: Any) -> T: ... def __get__(self, obj: Optional[C], objtype: Any) -> T: ... class C: d1 = D1() # E: class __main__.D1 is deprecated: use E1 instead d2 = D2() d3 = D3() d4 = D4[int]() c: C C.d1 c.d1 c.d1 = 1 C.d2 # E: function __main__.D2.__get__ is deprecated: use E2.__get__ instead c.d2 # E: function __main__.D2.__get__ is deprecated: use E2.__get__ instead c.d2 = 1 # E: function __main__.D2.__set__ is deprecated: use E2.__set__ instead C.d3 # E: overload def (self: __main__.D3, obj: None, objtype: Any) -> __main__.D3 of function __main__.D3.__get__ is deprecated: use E3.__get__ instead c.d3 # E: overload def (self: __main__.D3, obj: __main__.C, objtype: Any) -> builtins.int of function __main__.D3.__get__ is deprecated: use E3.__get__ instead c.d3 = 1 c.d3 = "x" # E: overload def (self: __main__.D3, obj: __main__.C, value: builtins.str) of function __main__.D3.__set__ is deprecated: use E3.__set__ instead C.d4 c.d4 # E: overload def (self: __main__.D4[T`1], obj: __main__.C, objtype: Any) -> T`1 of function __main__.D4.__get__ is deprecated: deprecated instance access [builtins fixtures/property.pyi] [case testDeprecatedOverloadedFunction] # flags: --enable-error-code=deprecated from typing import Any, overload, Union from typing_extensions import deprecated int_or_str: Union[int, str] any: Any @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... @deprecated("use f2 instead") def f(x: Union[int, str]) -> Union[int, str]: ... f # E: function __main__.f is deprecated: use f2 instead f(1) # E: function __main__.f is deprecated: use f2 instead f("x") # E: function __main__.f is deprecated: use f2 instead f(int_or_str) # E: function __main__.f is deprecated: use f2 instead f(any) # E: function __main__.f is deprecated: use f2 instead f(1.0) # E: function __main__.f is deprecated: use f2 instead \ # E: No overload variant of "f" matches argument type "float" \ # N: Possible overload variants: \ # N: def f(x: int) -> int \ # N: def f(x: str) -> str @overload @deprecated("work with str instead") def g(x: int) -> int: ... @overload def g(x: str) -> str: ... def g(x: Union[int, str]) -> Union[int, str]: ... g g(1) # E: overload def (x: builtins.int) -> builtins.int of function __main__.g is deprecated: work with str instead g("x") g(int_or_str) # E: overload def (x: builtins.int) -> builtins.int of function __main__.g is deprecated: work with str instead g(any) g(1.0) # E: No overload variant of "g" matches argument type "float" \ # N: Possible overload variants: \ # N: def g(x: int) -> int \ # N: def g(x: str) -> str @overload def h(x: int) -> int: ... @deprecated("work with int instead") @overload # N: @overload should be placed before @deprecated def h(x: str) -> str: ... def h(x: Union[int, str]) -> Union[int, str]: ... h h(1) h("x") # E: overload def (x: builtins.str) -> builtins.str of function __main__.h is deprecated: work with int instead h(int_or_str) # E: overload def (x: builtins.str) -> builtins.str of function __main__.h is deprecated: work with int instead h(any) h(1.0) # E: No overload variant of "h" matches argument type "float" \ # N: Possible overload variants: \ # N: def h(x: int) -> int \ # N: def h(x: str) -> str @overload def i(x: int) -> int: ... @overload @deprecated("work with int instead") def i(x: str) -> str: ... @overload def i(x: Any) -> Any: ... def i(x: Union[int, str]) -> Union[int, str]: ... i i(1) i("x") # E: overload def (x: builtins.str) -> builtins.str of function __main__.i is deprecated: work with int instead i(int_or_str) # E: overload def (x: builtins.str) -> builtins.str of function __main__.i is deprecated: work with int instead i(any) i(1.0) @overload def j(x: int) -> int: ... @overload def j(x: str) -> str: ... @overload @deprecated("work with int or str instead") def j(x: Any) -> Any: ... def j(x: Union[int, str]) -> Union[int, str]: ... j j(1) j("x") j(int_or_str) j(any) j(1.0) # E: overload def (x: Any) -> Any of function __main__.j is deprecated: work with int or str instead @overload @deprecated("work with str instead") def k(x: int) -> int: ... @overload def k(x: str) -> str: ... @overload @deprecated("work with str instead") def k(x: object) -> Any: ... def k(x: object) -> Union[int, str]: ... k k(1) # E: overload def (x: builtins.int) -> builtins.int of function __main__.k is deprecated: work with str instead k("x") k(int_or_str) # E: overload def (x: builtins.int) -> builtins.int of function __main__.k is deprecated: work with str instead k(any) k(1.0) # E: overload def (x: builtins.object) -> Any of function __main__.k is deprecated: work with str instead [builtins fixtures/tuple.pyi] [case testDeprecatedImportedOverloadedFunction] # flags: --enable-error-code=deprecated import m m.g m.g(1) # E: overload def (x: builtins.int) -> builtins.int of function m.g is deprecated: work with str instead m.g("x") [file m.py] from typing import Union, overload from typing_extensions import deprecated @overload @deprecated("work with str instead") def g(x: int) -> int: ... @overload def g(x: str) -> str: ... def g(x: Union[int, str]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [case testDeprecatedExclude] # flags: --enable-error-code=deprecated --deprecated-calls-exclude=m.C --deprecated-calls-exclude=m.D --deprecated-calls-exclude=m.E.f --deprecated-calls-exclude=m.E.g --deprecated-calls-exclude=m.E.__add__ from m import C, D, E [file m.py] from typing import Union, overload from typing_extensions import deprecated @deprecated("use C2 instead") class C: def __init__(self) -> None: ... c: C C() C.__init__(c) class D: @deprecated("use D.g instead") def f(self) -> None: ... def g(self) -> None: ... D.f D().f D().f() class E: @overload def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... @deprecated("use E.f2 instead") def f(self, x: Union[int, str]) -> Union[int, str]: ... @deprecated("use E.h instead") def g(self) -> None: ... @overload @deprecated("no A + int") def __add__(self, v: int) -> None: ... @overload def __add__(self, v: str) -> None: ... def __add__(self, v: Union[int, str]) -> None: ... E().f(1) E().f("x") e = E() e.g() e + 1 [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-dynamic-typing.test0000644000175100017510000004043415112307767022041 0ustar00runnerrunner-- Assignment -- ---------- [case testAssignmentWithDynamic] from typing import Any d: Any a: A if int(): a = d # Everything ok if int(): d = a if int(): d = d d.x = a d.x = d class A: pass [case testMultipleAssignmentWithDynamic] from typing import Any d: Any a: A b: B if int(): d, a = b, b # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): d, d = d, d, d # E: Too many values to unpack (2 expected, 3 provided) if int(): a, b = d, d if int(): d, d = a, b if int(): a, b = d s, t = d class A: pass class B: pass [builtins fixtures/tuple.pyi] -- Expressions -- ----------- [case testCallingFunctionWithDynamicArgumentTypes] from typing import Any def f(x: Any) -> 'A': pass a: A b: B if int(): b = f(a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = f(a) if int(): a = f(b) if int(): a = f(None) if int(): a = f(f) class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testCallingWithDynamicReturnType] from typing import Any def f(x: 'A') -> Any: pass a: A b: B a = f(b) # E: Argument 1 to "f" has incompatible type "B"; expected "A" a = f(a) b = f(a) class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testBinaryOperationsWithDynamicLeftOperand] from typing import Any d: Any a: A c: C b: bool n = 0 d in a # E: Unsupported right operand type for in ("A") d and a d or a if int(): c = d and b # E: Incompatible types in assignment (expression has type "Union[Any, bool]", variable has type "C") if int(): c = d or b # E: Incompatible types in assignment (expression has type "Union[Any, bool]", variable has type "C") if int(): c = d + a if int(): c = d - a if int(): c = d * a if int(): c = d / a if int(): c = d // a if int(): c = d % a if int(): c = d ** a if int(): b = d == a if int(): b = d != a if int(): b = d < a if int(): b = d <= a if int(): b = d > a if int(): b = d >= a if int(): b = d in c if int(): b = d and b if int(): b = d or b class A: pass class C: def __contains__(self, a: A) -> bool: pass [file builtins.py] class object: def __init__(self): pass class bool: pass class int: pass class type: pass class function: pass class str: pass class dict: pass [case testBinaryOperationsWithDynamicAsRightOperand] from typing import Any d: Any a: A c: C b: bool n = 0 a and d a or d if int(): c = a in d # E: Incompatible types in assignment (expression has type "bool", variable has type "C") if int(): c = b and d # E: Incompatible types in assignment (expression has type "Union[Literal[False], Any]", variable has type "C") if int(): c = b or d # E: Incompatible types in assignment (expression has type "Union[Literal[True], Any]", variable has type "C") if int(): b = a + d if int(): b = a / d if int(): c = a + d if int(): c = a - d if int(): c = a * d if int(): c = a / d if int(): c = a // d if int(): c = a % d if int(): c = a ** d if int(): b = a in d if int(): b = b and d if int(): b = b or d class A: def __add__(self, a: 'A') -> 'C': pass def __sub__(self, a: 'A') -> 'C': pass def __mul__(self, a: 'A') -> 'C': pass def __truediv__(self, a: 'A') -> 'C': pass def __floordiv__(self, a: 'A') -> 'C': pass def __mod__(self, a: 'A') -> 'C': pass def __pow__(self, a: 'A') -> 'C': pass def _lt(self, a: 'A') -> bool: pass def _gt(self, a: 'A') -> bool: pass class C: pass [file builtins.py] class object: def __init__(self): pass class bool: pass class int: pass class type: pass class function: pass class str: pass class dict: pass [case testDynamicWithUnaryExpressions] from typing import Any d: Any a: A b: bool if int(): a = not d # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): b = not d a = -d class A: pass [builtins fixtures/bool.pyi] [out] [case testDynamicWithMemberAccess] from typing import Any d: Any a: A if int(): a = d.foo(a()) # E: "A" not callable if int(): a = d.x if int(): a = d.foo(a, a) d.x = a d.x.y.z class A: pass [out] [case testIndexingWithDynamic] from typing import Any d: Any a: A if int(): a = d[a()] # E: "A" not callable d[a()] = a # E: "A" not callable if int(): a = d[a] d[a] = a d[a], d[a] = a, a class A: pass [case testTupleExpressionsWithDynamic] from typing import Tuple, Any t2: Tuple[A, A] d: Any if int(): t2 = (d, d, d) # E: Incompatible types in assignment (expression has type "tuple[Any, Any, Any]", variable has type "tuple[A, A]") if int(): t2 = (d, d) class A: pass [builtins fixtures/tuple.pyi] [case testCastsWithDynamicType] from typing import Any, cast class A: pass class B: pass def f() -> None: pass d: Any a: A b: B if int(): b = cast(A, d) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = cast(A, d) if int(): b = cast(Any, d) if int(): a = cast(Any, f()) [case testCompatibilityOfDynamicWithOtherTypes] from typing import Any, Tuple def g(a: 'A') -> None: pass class A: pass class B: pass d: Any t: Tuple[A, A] # TODO: callable types, overloaded functions d = None # All ok d = t d = g d = A d1: Any t = d1 f = d1 [builtins fixtures/tuple.pyi] -- Statements -- ---------- [case testDynamicCondition] from typing import Any d = None # type: Any while d: pass if d: pass elif d: pass [builtins fixtures/bool.pyi] [case testRaiseWithDynamic] from typing import Any d = None # type: Any raise d [builtins fixtures/exception.pyi] [case testReturnWithDynamic] from typing import Any d = None # type: Any def f() -> None: return d # Ok def g() -> 'A': return d # Ok class A: pass -- Implicit dynamic types for functions -- ------------------------------------ [case testImplicitGlobalFunctionSignature] from typing import Any, Callable x: Any a: A g: Callable[[], None] h: Callable[[A], None] def f(x): pass f() # E: Missing positional argument "x" in call to "f" f(x, x) # E: Too many arguments for "f" if int(): g = f # E: Incompatible types in assignment (expression has type "Callable[[Any], Any]", variable has type "Callable[[], None]") f(a) f(x) if int(): a = f(a) if int(): h = f class A: pass [case testImplicitGlobalFunctionSignatureWithDifferentArgCounts] from typing import Callable g0: Callable[[], None] g1: Callable[[A], None] g2: Callable[[A, A], None] a: A def f0(): pass def f2(x, y): pass if int(): g1 = f0 # E: Incompatible types in assignment (expression has type "Callable[[], Any]", variable has type "Callable[[A], None]") if int(): g2 = f0 # E: Incompatible types in assignment (expression has type "Callable[[], Any]", variable has type "Callable[[A, A], None]") if int(): g0 = f2 # E: Incompatible types in assignment (expression has type "Callable[[Any, Any], Any]", variable has type "Callable[[], None]") if int(): g1 = f2 # E: Incompatible types in assignment (expression has type "Callable[[Any, Any], Any]", variable has type "Callable[[A], None]") if int(): g0 = g0 if int(): g2 = f2 f0() f2(a, a) class A: pass [case testImplicitGlobalFunctionSignatureWithDefaultArgs] from typing import Callable class A: pass class B: pass a: A b: B def f01(x = b): pass def f13(x, y = b, z = b): pass g0: Callable[[], None] g1: Callable[[A], None] g2: Callable[[A, A], None] g3: Callable[[A, A, A], None] g4: Callable[[A, A, A, A], None] f01(a, a) # E: Too many arguments for "f01" f13() # E: Missing positional argument "x" in call to "f13" f13(a, a, a, a) # E: Too many arguments for "f13" if int(): g2 = f01 # E: Incompatible types in assignment (expression has type "Callable[[Any], Any]", variable has type "Callable[[A, A], None]") if int(): g0 = f13 # E: Incompatible types in assignment (expression has type "Callable[[Any, Any, Any], Any]", variable has type "Callable[[], None]") if int(): g4 = f13 # E: Incompatible types in assignment (expression has type "Callable[[Any, Any, Any], Any]", variable has type "Callable[[A, A, A, A], None]") f01() f01(a) f13(a) f13(a, a) f13(a, a, a) if int(): g0 = f01 if int(): g1 = f01 if int(): g1 = f13 if int(): g2 = f13 if int(): g3 = f13 [builtins fixtures/tuple.pyi] [case testSkipTypeCheckingWithImplicitSignature] a: A def f(): a() def g(x): a() a.x a + a if a(): a() class A: pass [builtins fixtures/bool.pyi] [case testSkipTypeCheckingWithImplicitSignatureAndDefaultArgs] a: A def f(x=a()): a() def g(x, y=a, z=a()): a() class A: pass [case testImplicitMethodSignature] from typing import Callable g0: Callable[[], None] g1: Callable[[A], None] g2: Callable[[A, A], None] a: A if int(): g0 = a.f # E: Incompatible types in assignment (expression has type "Callable[[Any], Any]", variable has type "Callable[[], None]") if int(): g2 = a.f # E: Incompatible types in assignment (expression has type "Callable[[Any], Any]", variable has type "Callable[[A, A], None]") if int(): a = a.f # E: Incompatible types in assignment (expression has type "Callable[[Any], Any]", variable has type "A") class A: def g(self) -> None: a = self.f(a) def f(self, x): pass if int(): g1 = a.f if int(): a = a.f(a) [case testSkipTypeCheckingImplicitMethod] a: A class A: def f(self): a() def g(self, x, y=a()): a() [case testImplicitInheritedMethod] from typing import Callable g0: Callable[[], None] g1: Callable[[A], None] a: A if int(): g0 = a.f # E: Incompatible types in assignment (expression has type "Callable[[Any], Any]", variable has type "Callable[[], None]") if int(): g1 = a.f if int(): a = a.f(a) class B: def f(self, x): pass class A(B): def g(self) -> None: a = self.f(a) [case testEmptyReturnWithImplicitSignature] import typing def f(): return class A: def g(self): return [case testVarArgsWithImplicitSignature] from typing import Any o = None # type: Any def f(x, *a): pass f() # E: Missing positional argument "x" in call to "f" f(o) f(o, o) f(o, o, o) [builtins fixtures/list.pyi] -- Implicit types for constructors -- ------------------------------- [case testInitMethodWithImplicitSignature] from typing import Callable class A: def __init__(self, a, b): pass f1: Callable[[A], A] f2: Callable[[A, A], A] a: A A(a) # E: Missing positional argument "b" in call to "A" if int(): f1 = A # E: Incompatible types in assignment (expression has type "type[A]", variable has type "Callable[[A], A]") A(a, a) if int(): f2 = A [case testUsingImplicitTypeObjectWithIs] class A: pass class B: def __init__(self): pass t: type t = A t = B -- Type compatibility -- ------------------ [case testTupleTypeCompatibility] from typing import Any, Tuple t1: Tuple[Any, A] t2: Tuple[A, Any] t3: Tuple[Any, Any] t4: Tuple[A, A] t5: Tuple[Any, Any, Any] def f(): t1, t2, t3, t4, t5 # Prevent redefinition t3 = t5 # E: Incompatible types in assignment (expression has type "tuple[Any, Any, Any]", variable has type "tuple[Any, Any]") t5 = t4 # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "tuple[Any, Any, Any]") t1 = t1 t1 = t2 t1 = t3 t1 = t4 t2 = t1 t2 = t3 t2 = t4 t3 = t1 t3 = t2 t3 = t4 t4 = t1 t4 = t2 t4 = t3 class A: pass [builtins fixtures/tuple.pyi] [case testFunctionTypeCompatibilityAndReturnTypes] from typing import Any, Callable, Optional f1: Callable[[], Any] f11: Callable[[], Any] f2: Callable[[], Optional[A]] f3: Callable[[], None] f2 = f3 f1 = f2 f1 = f3 f2 = f11 f3 = f11 class A: pass [case testFunctionTypeCompatibilityAndArgumentTypes] from typing import Any, Callable f1: Callable[[A, Any], None] f2: Callable[[Any, A], None] f3: Callable[[A, A], None] f1 = f1 f1 = f2 f1 = f3 f2 = f1 f2 = f2 f2 = f3 f3 = f1 f3 = f2 f3 = f3 class A: pass [case testFunctionTypeCompatibilityAndArgumentCounts] from typing import Any, Callable f1: Callable[[Any], None] f2: Callable[[Any, Any], None] if int(): f1 = f2 # E: Incompatible types in assignment (expression has type "Callable[[Any, Any], None]", variable has type "Callable[[Any], None]") -- Overriding -- ---------- [case testOverridingMethodWithDynamicTypes] from typing import Any a: A b: B b.f(b) # E: Argument 1 to "f" of "B" has incompatible type "B"; expected "A" a = a.f(b) class B: def f(self, x: 'A') -> 'B': pass def g(self, x: 'B') -> None: pass class A(B): def f(self, x: Any) -> Any: pass def g(self, x: Any) -> None: pass [builtins fixtures/tuple.pyi] [case testOverridingMethodWithImplicitDynamicTypes] a: A b: B b.f(b) # E: Argument 1 to "f" of "B" has incompatible type "B"; expected "A" a = a.f(b) class B: def f(self, x: 'A') -> 'B': pass def g(self, x: 'B') -> None: pass class A(B): def f(self, x): pass def g(self, x): pass [builtins fixtures/tuple.pyi] [case testOverridingMethodAcrossHierarchy] import typing class C: def f(self, a: 'A') -> None: pass class B(C): def f(self, a): pass class A(B): def f(self, a: 'D') -> None: # E: Argument 1 of "f" is incompatible with supertype "C"; supertype defines the argument type as "A" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides pass class D: pass [out] [case testInvalidOverrideArgumentCountWithImplicitSignature1] import typing class B: def f(self, x: A) -> None: pass class A(B): def f(self, x, y): # dynamic function not type checked x() [out] [case testInvalidOverrideArgumentCountWithImplicitSignature2] import typing class B: def f(self, x, y): pass class A(B): def f(self, x: 'A') -> None: # Fail pass [out] main:5: error: Signature of "f" incompatible with supertype "B" main:5: note: Superclass: main:5: note: def f(self, x: Any, y: Any) -> Any main:5: note: Subclass: main:5: note: def f(self, x: A) -> None [case testInvalidOverrideArgumentCountWithImplicitSignature3] import typing class B: def f(self, x: A) -> None: pass class A(B): def f(self, x, y) -> None: # Fail x() [out] main:5: error: Signature of "f" incompatible with supertype "B" main:5: note: Superclass: main:5: note: def f(self, x: A) -> None main:5: note: Subclass: main:5: note: def f(self, x: Any, y: Any) -> None [case testInvalidOverrideArgumentCountWithImplicitSignature4] # flags: --check-untyped-defs import typing class B: def f(self, x: A) -> None: pass class A(B): def f(self, x, y): x() [out] main:6: error: Signature of "f" incompatible with supertype "B" main:6: note: Superclass: main:6: note: def f(self, x: A) -> None main:6: note: Subclass: main:6: note: def f(self, x: Any, y: Any) -> Any [case testInvalidOverrideWithImplicitSignatureAndClassMethod1] class B: @classmethod def f(cls, x, y): pass class A(B): @classmethod def f(cls, x, y, z): pass # No error since no annotations [builtins fixtures/classmethod.pyi] [case testInvalidOverrideWithImplicitSignatureAndClassMethod2] class B: @classmethod def f(cls, x: int, y): pass class A(B): @classmethod def f(cls, x, y, z): pass # No error since no annotations [builtins fixtures/classmethod.pyi] [case testInvalidOverrideWithImplicitSignatureAndStaticMethod1] class B: @staticmethod def f(x, y): pass class A(B): @staticmethod def f(x, y, z): pass # No error since no annotations [builtins fixtures/classmethod.pyi] [case testInvalidOverrideWithImplicitSignatureAndStaticMethod2] class B: @staticmethod def f(self, x: int, y): pass class A(B): @staticmethod def f(self, x, y, z): pass # No error since no annotations [builtins fixtures/classmethod.pyi] -- Don't complain about too few/many arguments in dynamic functions -- ---------------------------------------------------------------- [case testTooManyArgsInDynamic] def f() -> None: pass def g(): f(1) # Silent [out] [case testTooFewArgsInDynamic] def f(a: int) -> None: pass def g(): f() # Silent [out] [case testJustRightInDynamic] def f(a: int) -> None: pass def g(): f('') # Silent [out] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-enum.test0000644000175100017510000024116115112307767020051 0ustar00runnerrunner-- This test file checks Enum [case testEnumBasics] from enum import Enum class Medal(Enum): gold = 1 silver = 2 bronze = 3 reveal_type(Medal.bronze) # N: Revealed type is "Literal[__main__.Medal.bronze]?" m = Medal.gold if int(): m = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Medal") [builtins fixtures/enum.pyi] -- Creation from Enum call -- ----------------------- [case testEnumCreatedFromStringLiteral] from enum import Enum from typing import Literal x: Literal['ANT BEE CAT DOG'] = 'ANT BEE CAT DOG' Animal = Enum('Animal', x) reveal_type(Animal.ANT) # N: Revealed type is "Literal[__main__.Animal.ANT]?" reveal_type(Animal.BEE) # N: Revealed type is "Literal[__main__.Animal.BEE]?" reveal_type(Animal.CAT) # N: Revealed type is "Literal[__main__.Animal.CAT]?" reveal_type(Animal.DOG) # N: Revealed type is "Literal[__main__.Animal.DOG]?" [builtins fixtures/tuple.pyi] [case testEnumCreatedFromFinalValue] from enum import Enum from typing import Final x: Final['str'] = 'ANT BEE CAT DOG' Animal = Enum('Animal', x) reveal_type(Animal.ANT) # N: Revealed type is "Literal[__main__.Animal.ANT]?" reveal_type(Animal.BEE) # N: Revealed type is "Literal[__main__.Animal.BEE]?" reveal_type(Animal.CAT) # N: Revealed type is "Literal[__main__.Animal.CAT]?" reveal_type(Animal.DOG) # N: Revealed type is "Literal[__main__.Animal.DOG]?" [builtins fixtures/tuple.pyi] -- Creation from EnumMeta -- ---------------------- [case testEnumFromEnumMetaBasics] from enum import EnumMeta class Medal(metaclass=EnumMeta): gold = 1 silver = "hello" bronze = None # Without __init__ the definition fails at runtime, but we want to verify that mypy # uses `enum.EnumMeta` and not `enum.Enum` as the definition of what is enum. def __init__(self, *args): pass reveal_type(Medal.bronze) # N: Revealed type is "Literal[__main__.Medal.bronze]?" m = Medal.gold if int(): m = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Medal") [builtins fixtures/tuple.pyi] [case testEnumFromEnumMetaSubclass] from enum import EnumMeta class Achievement(metaclass=EnumMeta): pass class Medal(Achievement): gold = 1 silver = "hello" bronze = None # See comment in testEnumFromEnumMetaBasics def __init__(self, *args): pass reveal_type(Medal.bronze) # N: Revealed type is "Literal[__main__.Medal.bronze]?" m = Medal.gold if int(): m = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Medal") [builtins fixtures/tuple.pyi] [case testEnumFromEnumMetaGeneric] from enum import EnumMeta from typing import Generic, TypeVar T = TypeVar("T") class Medal(Generic[T], metaclass=EnumMeta): # E: Enum class cannot be generic q = None [builtins fixtures/enum.pyi] [case testEnumNameAndValue] from enum import Enum class Truth(Enum): true = True false = False x = '' x = Truth.true.name reveal_type(Truth.true.name) # N: Revealed type is "Literal['true']?" reveal_type(Truth.false.value) # N: Revealed type is "Literal[False]?" [builtins fixtures/bool.pyi] [case testEnumValueExtended] from enum import Enum class Truth(Enum): true = True false = False def infer_truth(truth: Truth) -> None: reveal_type(truth.value) # N: Revealed type is "Union[Literal[True]?, Literal[False]?]" [builtins fixtures/bool.pyi] [case testEnumValueAllAuto] from enum import Enum, auto class Truth(Enum): true = auto() false = auto() def infer_truth(truth: Truth) -> None: reveal_type(truth.value) # N: Revealed type is "builtins.int" [builtins fixtures/primitives.pyi] [case testEnumValueSomeAuto] from enum import Enum, auto class Truth(Enum): true = 8675309 false = auto() def infer_truth(truth: Truth) -> None: reveal_type(truth.value) # N: Revealed type is "builtins.int" [builtins fixtures/primitives.pyi] [case testEnumValueExtraMethods] from enum import Enum class Truth(Enum): true = True false = False def foo(self) -> str: return 'bar' def infer_truth(truth: Truth) -> None: reveal_type(truth.value) # N: Revealed type is "Union[Literal[True]?, Literal[False]?]" [builtins fixtures/bool.pyi] [case testEnumValueCustomAuto] from enum import Enum, auto class AutoName(Enum): # In `typeshed`, this is a staticmethod and has more arguments, # but I have lied a bit to keep the test stubs lean. def _generate_next_value_(self) -> str: return "name" class Truth(AutoName): true = auto() false = auto() def infer_truth(truth: Truth) -> None: reveal_type(truth.value) # N: Revealed type is "builtins.str" [builtins fixtures/primitives.pyi] [case testEnumValueInhomogeneous] from enum import Enum class Truth(Enum): true = 'True' false = 0 def cannot_infer_truth(truth: Truth) -> None: reveal_type(truth.value) # N: Revealed type is "Any" [builtins fixtures/bool.pyi] [case testEnumValueSameType] from enum import Enum def newbool() -> bool: ... class Truth(Enum): true = newbool() false = newbool() def infer_truth(truth: Truth) -> None: reveal_type(truth.value) # N: Revealed type is "builtins.bool" [builtins fixtures/bool.pyi] [case testEnumTruthyness] # mypy: warn-unreachable import enum from typing import Literal class E(enum.Enum): zero = 0 one = 1 def print(s: str) -> None: ... if E.zero: print("zero is true") if not E.zero: print("zero is false") # E: Statement is unreachable if E.one: print("one is true") if not E.one: print("one is false") # E: Statement is unreachable def main(zero: Literal[E.zero], one: Literal[E.one]) -> None: if zero: print("zero is true") if not zero: print("zero is false") # E: Statement is unreachable if one: print("one is true") if not one: print("one is false") # E: Statement is unreachable [builtins fixtures/tuple.pyi] [case testEnumTruthynessCustomDunderBool] # mypy: warn-unreachable import enum from typing import Literal class E(enum.Enum): zero = 0 one = 1 def __bool__(self) -> Literal[False]: return False def print(s: str) -> None: ... if E.zero: print("zero is true") # E: Statement is unreachable if not E.zero: print("zero is false") if E.one: print("one is true") # E: Statement is unreachable if not E.one: print("one is false") def main(zero: Literal[E.zero], one: Literal[E.one]) -> None: if zero: print("zero is true") # E: Statement is unreachable if not zero: print("zero is false") if one: print("one is true") # E: Statement is unreachable if not one: print("one is false") [builtins fixtures/enum.pyi] [case testEnumTruthynessStrEnum] # mypy: warn-unreachable import enum from typing import Literal class E(enum.StrEnum): empty = "" not_empty = "asdf" def print(s: str) -> None: ... if E.empty: print("empty is true") if not E.empty: print("empty is false") if E.not_empty: print("not_empty is true") if not E.not_empty: print("not_empty is false") def main(empty: Literal[E.empty], not_empty: Literal[E.not_empty]) -> None: if empty: print("empty is true") if not empty: print("empty is false") if not_empty: print("not_empty is true") if not not_empty: print("not_empty is false") [builtins fixtures/enum.pyi] [case testEnumUnique] import enum @enum.unique class E(enum.Enum): x = 1 y = 1 # NOTE: This duplicate value is not detected by mypy at the moment x = 1 x = E.x [builtins fixtures/enum.pyi] [out] main:7: error: Incompatible types in assignment (expression has type "E", variable has type "int") [case testIntEnum_assignToIntVariable] from enum import IntEnum class N(IntEnum): x = 1 y = 1 n = 1 if int(): n = N.x # Subclass of int, so it's okay s = '' if int(): s = N.y # E: Incompatible types in assignment (expression has type "N", variable has type "str") [builtins fixtures/enum.pyi] [case testIntEnum_functionTakingIntEnum] from enum import IntEnum class SomeIntEnum(IntEnum): x = 1 def takes_some_int_enum(n: SomeIntEnum): pass takes_some_int_enum(SomeIntEnum.x) takes_some_int_enum(1) # Error takes_some_int_enum(SomeIntEnum(1)) # How to deal with the above [builtins fixtures/enum.pyi] [out] main:7: error: Argument 1 to "takes_some_int_enum" has incompatible type "int"; expected "SomeIntEnum" [case testIntEnum_functionTakingInt] from enum import IntEnum class SomeIntEnum(IntEnum): x = 1 def takes_int(i: int): pass takes_int(SomeIntEnum.x) takes_int(2) [builtins fixtures/enum.pyi] [case testIntEnum_functionReturningIntEnum] from enum import IntEnum class SomeIntEnum(IntEnum): x = 1 def returns_some_int_enum() -> SomeIntEnum: return SomeIntEnum.x an_int = 1 an_int = returns_some_int_enum() an_enum = SomeIntEnum.x an_enum = returns_some_int_enum() [builtins fixtures/enum.pyi] [out] [case testStrEnumCreation] # flags: --python-version 3.11 from enum import StrEnum class MyStrEnum(StrEnum): x = 'x' y = 'y' reveal_type(MyStrEnum.x) # N: Revealed type is "Literal[__main__.MyStrEnum.x]?" reveal_type(MyStrEnum.x.value) # N: Revealed type is "Literal['x']?" reveal_type(MyStrEnum.y) # N: Revealed type is "Literal[__main__.MyStrEnum.y]?" reveal_type(MyStrEnum.y.value) # N: Revealed type is "Literal['y']?" [builtins fixtures/enum.pyi] [out] [case testEnumMethods] from enum import Enum class Color(Enum): red = 1 green = 2 def m(self, x: int): pass @staticmethod def m2(x: int): pass Color.red.m('') Color.m2('') [builtins fixtures/staticmethod.pyi] [out] main:11: error: Argument 1 to "m" of "Color" has incompatible type "str"; expected "int" main:12: error: Argument 1 to "m2" of "Color" has incompatible type "str"; expected "int" [case testIntEnum_ExtendedIntEnum_functionTakingExtendedIntEnum] from enum import IntEnum class ExtendedIntEnum(IntEnum): pass class SomeExtIntEnum(ExtendedIntEnum): x = 1 def takes_int(i: int): pass takes_int(SomeExtIntEnum.x) def takes_some_ext_int_enum(s: SomeExtIntEnum): pass takes_some_ext_int_enum(SomeExtIntEnum.x) [builtins fixtures/enum.pyi] [case testNamedTupleEnum] from typing import NamedTuple from enum import Enum N = NamedTuple('N', [('bar', int)]) class E(N, Enum): X = N(1) def f(x: E) -> None: pass f(E.X) [builtins fixtures/tuple.pyi] [case testEnumCall] from enum import IntEnum class E(IntEnum): a = 1 x: int reveal_type(E(x)) [builtins fixtures/tuple.pyi] [out] main:5: note: Revealed type is "__main__.E" [case testEnumIndex] from enum import IntEnum class E(IntEnum): a = 1 s: str reveal_type(E[s]) [builtins fixtures/enum.pyi] [out] main:5: note: Revealed type is "__main__.E" [case testEnumIndexError] from enum import IntEnum class E(IntEnum): a = 1 E[1] # E: Enum index should be a string (actual index type "int") x = E[1] # E: Enum index should be a string (actual index type "int") [builtins fixtures/enum.pyi] [case testEnumIndexIsNotAnAlias] from enum import Enum class E(Enum): a = 1 b = 2 reveal_type(E['a']) # N: Revealed type is "__main__.E" E['a'] x = E['a'] reveal_type(x) # N: Revealed type is "__main__.E" def get_member(name: str) -> E: val = E[name] return val reveal_type(get_member('a')) # N: Revealed type is "__main__.E" [builtins fixtures/enum.pyi] [case testGenericEnum] from enum import Enum from typing import Generic, TypeVar T = TypeVar('T') class F(Generic[T], Enum): # E: Enum class cannot be generic x: T y: T reveal_type(F[int].x) # N: Revealed type is "__main__.F[builtins.int]" [builtins fixtures/enum.pyi] [case testEnumFlag] from enum import Flag class C(Flag): a = 1 b = 2 x = C.a if int(): x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "C") if int(): x = x | C.b [builtins fixtures/enum.pyi] [case testEnumIntFlag] from enum import IntFlag class C(IntFlag): a = 1 b = 2 x = C.a if int(): x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "C") if int(): x = x | C.b [builtins fixtures/enum.pyi] [case testAnonymousEnum] from enum import Enum class A: def f(self) -> None: class E(Enum): a = 1 self.x = E.a a = A() reveal_type(a.x) [builtins fixtures/enum.pyi] [out] main:8: note: Revealed type is "__main__.E@4" [case testEnumInClassBody] from enum import Enum class A: class E(Enum): a = 1 class B: class E(Enum): a = 1 x = A.E.a y = B.E.a if int(): x = y # E: Incompatible types in assignment (expression has type "__main__.B.E", variable has type "__main__.A.E") [builtins fixtures/enum.pyi] [case testFunctionalEnumString] from enum import Enum, IntEnum E = Enum('E', 'foo bar') I = IntEnum('I', ' bar, baz ') reveal_type(E.foo) reveal_type(E.bar.value) reveal_type(I.bar) reveal_type(I.baz.value) [builtins fixtures/enum.pyi] [out] main:4: note: Revealed type is "Literal[__main__.E.foo]?" main:5: note: Revealed type is "Any" main:6: note: Revealed type is "Literal[__main__.I.bar]?" main:7: note: Revealed type is "builtins.int" [case testFunctionalEnumListOfStrings] from enum import Enum, IntEnum E = Enum('E', ('foo', 'bar')) F = IntEnum('F', ['bar', 'baz']) reveal_type(E.foo) reveal_type(F.baz) [builtins fixtures/enum.pyi] [out] main:4: note: Revealed type is "Literal[__main__.E.foo]?" main:5: note: Revealed type is "Literal[__main__.F.baz]?" [case testFunctionalEnumListOfPairs] from enum import Enum, IntEnum E = Enum('E', [('foo', 1), ['bar', 2]]) F = IntEnum('F', (['bar', 1], ('baz', 2))) reveal_type(E.foo) reveal_type(F.baz) reveal_type(E.foo.value) reveal_type(F.bar.name) [builtins fixtures/enum.pyi] [out] main:4: note: Revealed type is "Literal[__main__.E.foo]?" main:5: note: Revealed type is "Literal[__main__.F.baz]?" main:6: note: Revealed type is "Literal[1]?" main:7: note: Revealed type is "Literal['bar']?" [case testFunctionalEnumDict] from enum import Enum, IntEnum E = Enum('E', {'foo': 1, 'bar': 2}) F = IntEnum('F', {'bar': 1, 'baz': 2}) reveal_type(E.foo) reveal_type(F.baz) reveal_type(E.foo.value) reveal_type(F.bar.name) [builtins fixtures/enum.pyi] [out] main:4: note: Revealed type is "Literal[__main__.E.foo]?" main:5: note: Revealed type is "Literal[__main__.F.baz]?" main:6: note: Revealed type is "Literal[1]?" main:7: note: Revealed type is "Literal['bar']?" [case testEnumKeywordsArgs] from enum import Enum, IntEnum PictureSize = Enum('PictureSize', 'P0 P1 P2 P3 P4 P5 P6 P7 P8', type=str, module=__name__) fake_enum1 = Enum('fake_enum1', ['a', 'b']) fake_enum2 = Enum('fake_enum2', names=['a', 'b']) fake_enum3 = Enum(value='fake_enum3', names=['a', 'b']) fake_enum4 = Enum(value='fake_enum4', names=['a', 'b'] , module=__name__) [builtins fixtures/enum.pyi] [case testFunctionalEnumErrors] from enum import Enum, IntEnum A = Enum('A') # E: Too few arguments for Enum() B = Enum('B', 42) # E: Second argument of Enum() must be string, tuple, list or dict literal for mypy to determine Enum members C = Enum('C', 'a b', 'x', 'y', 'z', 'p', 'q') # E: Too many arguments for Enum() D = Enum('D', foo) # E: Second argument of Enum() must be string, tuple, list or dict literal for mypy to determine Enum members \ # E: Name "foo" is not defined bar = 'x y z' E = Enum('E', bar) # E: Second argument of Enum() must be string, tuple, list or dict literal for mypy to determine Enum members I = IntEnum('I') # E: Too few arguments for IntEnum() J = IntEnum('I', 42) # E: Second argument of IntEnum() must be string, tuple, list or dict literal for mypy to determine Enum members K = IntEnum('I', 'p q', 'x', 'y', 'z', 'p', 'q') # E: Too many arguments for IntEnum() L = Enum('L', ' ') # E: Enum() needs at least one item M = Enum('M', ()) # E: Enum() needs at least one item N = IntEnum('M', []) # E: IntEnum() needs at least one item P = Enum('P', [42]) # E: Enum() with tuple or list expects strings or (name, value) pairs Q = Enum('Q', [('a', 42, 0)]) # E: Enum() with tuple or list expects strings or (name, value) pairs R = IntEnum('R', [[0, 42]]) # E: IntEnum() with tuple or list expects strings or (name, value) pairs S = Enum('S', {1: 1}) # E: Enum() with dict literal requires string literals T = Enum('T', keyword='a b') # E: Unexpected keyword argument "keyword" U = Enum('U', *['a']) # E: Unexpected arguments to Enum() V = Enum('U', **{'a': 1}) # E: Unexpected arguments to Enum() W = Enum('W', 'a b') W.c # E: "type[W]" has no attribute "c" X = Enum('Something', 'a b') # E: String argument 1 "Something" to enum.Enum(...) does not match variable name "X" reveal_type(X.a) # N: Revealed type is "Literal[__main__.Something@23.a]?" X.asdf # E: "type[Something@23]" has no attribute "asdf" [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [case testFunctionalEnumFlag] from enum import Flag, IntFlag A = Flag('A', 'x y') B = IntFlag('B', 'a b') reveal_type(A.x) # N: Revealed type is "Literal[__main__.A.x]?" reveal_type(B.a) # N: Revealed type is "Literal[__main__.B.a]?" reveal_type(A.x.name) # N: Revealed type is "Literal['x']?" reveal_type(B.a.name) # N: Revealed type is "Literal['a']?" reveal_type(A.x.value) # N: Revealed type is "builtins.int" reveal_type(B.a.value) # N: Revealed type is "builtins.int" [builtins fixtures/enum.pyi] [case testAnonymousFunctionalEnum] from enum import Enum class A: def f(self) -> None: E = Enum('E', 'a b') self.x = E.a a = A() reveal_type(a.x) [builtins fixtures/enum.pyi] [out] main:7: note: Revealed type is "__main__.A.E@4" [case testFunctionalEnumInClassBody] from enum import Enum class A: E = Enum('E', 'a b') class B: E = Enum('E', 'a b') x = A.E.a y = B.E.a if int(): x = y # E: Incompatible types in assignment (expression has type "__main__.B.E", variable has type "__main__.A.E") [builtins fixtures/enum.pyi] [case testFunctionalEnumProtocols] from enum import IntEnum Color = IntEnum('Color', 'red green blue') reveal_type(Color['green']) # N: Revealed type is "__main__.Color" for c in Color: reveal_type(c) # N: Revealed type is "__main__.Color" reveal_type(list(Color)) # N: Revealed type is "builtins.list[__main__.Color]" [builtins fixtures/list.pyi] [case testEnumWorkWithForward] from enum import Enum a: E = E.x # type: ignore[used-before-def] class E(Enum): x = 1 y = 2 [builtins fixtures/enum.pyi] [out] [case testEnumWorkWithForward2] from enum import Enum b: F F = Enum('F', {'x': 1, 'y': 2}) def fn(x: F) -> None: pass fn(b) [builtins fixtures/enum.pyi] [out] [case testFunctionalEnum] # TODO: Needs to have enum34 stubs somehow from enum import Enum Eu = Enum(u'Eu', u'a b') Eb = Enum(b'Eb', b'a b') # E: Enum() expects a string literal as the first argument Gu = Enum(u'Gu', {u'a': 1}) Gb = Enum(b'Gb', {b'a': 1}) # E: Enum() expects a string literal as the first argument Hu = Enum(u'Hu', [u'a']) Hb = Enum(b'Hb', [b'a']) # E: Enum() expects a string literal as the first argument Eu.a Eb.a Gu.a Gb.a Hu.a Hb.a [builtins fixtures/enum.pyi] [out] [case testEnumIncremental] import m reveal_type(m.E.a) reveal_type(m.F.b) [file m.py] from enum import Enum class E(Enum): a = 1 b = 2 F = Enum('F', 'a b') [builtins fixtures/enum.pyi] [rechecked] [stale] [out1] main:2: note: Revealed type is "Literal[m.E.a]?" main:3: note: Revealed type is "Literal[m.F.b]?" [out2] main:2: note: Revealed type is "Literal[m.E.a]?" main:3: note: Revealed type is "Literal[m.F.b]?" [case testEnumAuto] from enum import Enum, auto class Test(Enum): a = auto() b = auto() reveal_type(Test.a) # N: Revealed type is "Literal[__main__.Test.a]?" [builtins fixtures/primitives.pyi] [case testEnumAttributeAccessMatrix] from enum import Enum, IntEnum, IntFlag, Flag, EnumMeta, auto from typing import Literal def is_x(val: Literal['x']) -> None: pass A1 = Enum('A1', 'x') class A2(Enum): x = auto() class A3(Enum): x = 1 is_x(reveal_type(A1.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(A1.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(A1.x.value) # N: Revealed type is "Any" reveal_type(A1.x._value_) # N: Revealed type is "Any" is_x(reveal_type(A2.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(A2.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(A2.x.value) # N: Revealed type is "builtins.int" reveal_type(A2.x._value_) # N: Revealed type is "builtins.int" is_x(reveal_type(A3.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(A3.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(A3.x.value) # N: Revealed type is "Literal[1]?" reveal_type(A3.x._value_) # N: Revealed type is "Literal[1]?" B1 = IntEnum('B1', 'x') class B2(IntEnum): x = auto() class B3(IntEnum): x = 1 is_x(reveal_type(B1.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(B1.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(B1.x.value) # N: Revealed type is "builtins.int" reveal_type(B1.x._value_) # N: Revealed type is "builtins.int" is_x(reveal_type(B2.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(B2.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(B2.x.value) # N: Revealed type is "builtins.int" reveal_type(B2.x._value_) # N: Revealed type is "builtins.int" is_x(reveal_type(B3.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(B3.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(B3.x.value) # N: Revealed type is "Literal[1]?" reveal_type(B3.x._value_) # N: Revealed type is "Literal[1]?" C1 = IntFlag('C1', 'x') class C2(IntFlag): x = auto() class C3(IntFlag): x = 1 is_x(reveal_type(C1.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(C1.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(C1.x.value) # N: Revealed type is "builtins.int" reveal_type(C1.x._value_) # N: Revealed type is "builtins.int" is_x(reveal_type(C2.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(C2.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(C2.x.value) # N: Revealed type is "builtins.int" reveal_type(C2.x._value_) # N: Revealed type is "builtins.int" is_x(reveal_type(C3.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(C3.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(C3.x.value) # N: Revealed type is "Literal[1]?" reveal_type(C3.x._value_) # N: Revealed type is "Literal[1]?" D1 = Flag('D1', 'x') class D2(Flag): x = auto() class D3(Flag): x = 1 is_x(reveal_type(D1.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(D1.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(D1.x.value) # N: Revealed type is "builtins.int" reveal_type(D1.x._value_) # N: Revealed type is "builtins.int" is_x(reveal_type(D2.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(D2.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(D2.x.value) # N: Revealed type is "builtins.int" reveal_type(D2.x._value_) # N: Revealed type is "builtins.int" is_x(reveal_type(D3.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(D3.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(D3.x.value) # N: Revealed type is "Literal[1]?" reveal_type(D3.x._value_) # N: Revealed type is "Literal[1]?" # TODO: Generalize our enum functional API logic to work with subclasses of Enum # See https://github.com/python/mypy/issues/6037 class Parent(Enum): pass # E1 = Parent('E1', 'x') # See above TODO class E2(Parent): x = auto() class E3(Parent): x = 1 is_x(reveal_type(E2.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(E2.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(E2.x.value) # N: Revealed type is "builtins.int" reveal_type(E2.x._value_) # N: Revealed type is "builtins.int" is_x(reveal_type(E3.x.name)) # N: Revealed type is "Literal['x']" is_x(reveal_type(E3.x._name_)) # N: Revealed type is "Literal['x']" reveal_type(E3.x.value) # N: Revealed type is "Literal[1]?" reveal_type(E3.x._value_) # N: Revealed type is "Literal[1]?" # TODO: Figure out if we can construct enums using EnumMetas using the functional API. # Also figure out if we even care about supporting that use case. class F2(metaclass=EnumMeta): x = auto() class F3(metaclass=EnumMeta): x = 1 F2.x.name # E: "F2" has no attribute "name" F2.x._name_ # E: "F2" has no attribute "_name_" F2.x.value # E: "F2" has no attribute "value" F2.x._value_ # E: "F2" has no attribute "_value_" F3.x.name # E: "F3" has no attribute "name" F3.x._name_ # E: "F3" has no attribute "_name_" F3.x.value # E: "F3" has no attribute "value" F3.x._value_ # E: "F3" has no attribute "_value_" [builtins fixtures/primitives.pyi] [case testEnumAttributeChangeIncremental] from a import SomeEnum reveal_type(SomeEnum.a.value) [file a.py] from b import SomeEnum [file b.py] from enum import Enum class SomeEnum(Enum): a = 1 [file b.py.2] from enum import Enum class SomeEnum(Enum): a = "foo" [builtins fixtures/enum.pyi] [out] main:2: note: Revealed type is "Literal[1]?" [out2] main:2: note: Revealed type is "Literal['foo']?" [case testEnumReachabilityChecksBasic] from enum import Enum from typing import Literal class Foo(Enum): A = 1 B = 2 C = 3 x: Literal[Foo.A, Foo.B, Foo.C] if x is Foo.A: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" elif x is Foo.B: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.B]" elif x is Foo.C: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.C]" else: reveal_type(x) # No output here: this branch is unreachable reveal_type(x) # N: Revealed type is "Union[Literal[__main__.Foo.A], Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" if Foo.A is x: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" elif Foo.B is x: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.B]" elif Foo.C is x: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.C]" else: reveal_type(x) # No output here: this branch is unreachable reveal_type(x) # N: Revealed type is "Union[Literal[__main__.Foo.A], Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" y: Foo if y is Foo.A: reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" elif y is Foo.B: reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.B]" elif y is Foo.C: reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.C]" else: reveal_type(y) # No output here: this branch is unreachable reveal_type(y) # N: Revealed type is "__main__.Foo" if Foo.A is y: reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" elif Foo.B is y: reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.B]" elif Foo.C is y: reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.C]" else: reveal_type(y) # No output here: this branch is unreachable reveal_type(y) # N: Revealed type is "__main__.Foo" [builtins fixtures/bool.pyi] [case testEnumReachabilityChecksWithOrdering] from enum import Enum from typing import Literal class Foo(Enum): _order_ = "A B" A = 1 B = 2 Foo._order_ # E: "type[Foo]" has no attribute "_order_" x: Literal[Foo.A, Foo.B] if x is Foo.A: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" elif x is Foo.B: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.B]" else: reveal_type(x) # No output here: this branch is unreachable class Bar(Enum): __order__ = "A B" A = 1 B = 2 Bar.__order__ # E: "type[Bar]" has no attribute "__order__" y: Literal[Bar.A, Bar.B] if y is Bar.A: reveal_type(y) # N: Revealed type is "Literal[__main__.Bar.A]" elif y is Bar.B: reveal_type(y) # N: Revealed type is "Literal[__main__.Bar.B]" else: reveal_type(y) # No output here: this branch is unreachable x2: Foo if x2 is Foo.A: reveal_type(x2) # N: Revealed type is "Literal[__main__.Foo.A]" elif x2 is Foo.B: reveal_type(x2) # N: Revealed type is "Literal[__main__.Foo.B]" else: reveal_type(x2) # No output here: this branch is unreachable y2: Bar if y2 is Bar.A: reveal_type(y2) # N: Revealed type is "Literal[__main__.Bar.A]" elif y2 is Bar.B: reveal_type(y2) # N: Revealed type is "Literal[__main__.Bar.B]" else: reveal_type(y2) # No output here: this branch is unreachable [builtins fixtures/tuple.pyi] [case testEnumReachabilityChecksIndirect] from enum import Enum from typing import Final, Literal class Foo(Enum): A = 1 B = 2 C = 3 def accepts_foo_a(x: Literal[Foo.A]) -> None: ... x: Foo y: Literal[Foo.A] z: Final = Foo.A if x is y: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(x) # N: Revealed type is "__main__.Foo" if y is x: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(x) # N: Revealed type is "__main__.Foo" if x is z: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(z) # N: Revealed type is "Literal[__main__.Foo.A]?" accepts_foo_a(z) else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" reveal_type(z) # N: Revealed type is "Literal[__main__.Foo.A]?" accepts_foo_a(z) reveal_type(x) # N: Revealed type is "__main__.Foo" if z is x: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(z) # N: Revealed type is "Literal[__main__.Foo.A]?" accepts_foo_a(z) else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" reveal_type(z) # N: Revealed type is "Literal[__main__.Foo.A]?" accepts_foo_a(z) reveal_type(x) # N: Revealed type is "__main__.Foo" if y is z: reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(z) # N: Revealed type is "Literal[__main__.Foo.A]?" accepts_foo_a(z) else: reveal_type(y) # No output: this branch is unreachable reveal_type(z) # No output: this branch is unreachable if z is y: reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(z) # N: Revealed type is "Literal[__main__.Foo.A]?" accepts_foo_a(z) else: reveal_type(y) # No output: this branch is unreachable reveal_type(z) # No output: this branch is unreachable [builtins fixtures/bool.pyi] [case testEnumReachabilityNoNarrowingForUnionMessiness] from enum import Enum from typing import Literal class Foo(Enum): A = 1 B = 2 C = 3 x: Foo y: Literal[Foo.A, Foo.B] z: Literal[Foo.B, Foo.C] # For the sake of simplicity, no narrowing is done when the narrower type is a Union. if x is y: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "Union[Literal[__main__.Foo.A], Literal[__main__.Foo.B]]" else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "Union[Literal[__main__.Foo.A], Literal[__main__.Foo.B]]" if y is z: reveal_type(y) # N: Revealed type is "Union[Literal[__main__.Foo.A], Literal[__main__.Foo.B]]" reveal_type(z) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" else: reveal_type(y) # N: Revealed type is "Union[Literal[__main__.Foo.A], Literal[__main__.Foo.B]]" reveal_type(z) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" [builtins fixtures/bool.pyi] [case testEnumReachabilityWithNone] from enum import Enum from typing import Optional class Foo(Enum): A = 1 B = 2 C = 3 x: Optional[Foo] if x: reveal_type(x) # N: Revealed type is "__main__.Foo" else: reveal_type(x) # N: Revealed type is "None" if x is not None: reveal_type(x) # N: Revealed type is "__main__.Foo" else: reveal_type(x) # N: Revealed type is "None" if x is Foo.A: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Foo.C], None]" reveal_type(x) # N: Revealed type is "Union[__main__.Foo, None]" [builtins fixtures/enum.pyi] [case testEnumReachabilityWithMultipleEnums] from enum import Enum from typing import Literal, Union class Foo(Enum): A = 1 B = 2 class Bar(Enum): A = 1 B = 2 x1: Union[Foo, Bar] if x1 is Foo.A: reveal_type(x1) # N: Revealed type is "Literal[__main__.Foo.A]" else: reveal_type(x1) # N: Revealed type is "Union[Literal[__main__.Foo.B], __main__.Bar]" reveal_type(x1) # N: Revealed type is "Union[__main__.Foo, __main__.Bar]" x2: Union[Foo, Bar] if x2 is Bar.A: reveal_type(x2) # N: Revealed type is "Literal[__main__.Bar.A]" else: reveal_type(x2) # N: Revealed type is "Union[__main__.Foo, Literal[__main__.Bar.B]]" reveal_type(x2) # N: Revealed type is "Union[__main__.Foo, __main__.Bar]" x3: Union[Foo, Bar] if x3 is Foo.A or x3 is Bar.A: reveal_type(x3) # N: Revealed type is "Union[Literal[__main__.Foo.A], Literal[__main__.Bar.A]]" else: reveal_type(x3) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Bar.B]]" reveal_type(x3) # N: Revealed type is "Union[__main__.Foo, __main__.Bar]" [builtins fixtures/bool.pyi] [case testEnumReachabilityPEP484ExampleWithFinal] from typing import Final, Union from enum import Enum class Empty(Enum): token = 0 _empty: Final = Empty.token def func(x: Union[int, None, Empty] = _empty) -> int: boom = x + 42 # E: Unsupported left operand type for + ("None") \ # E: Unsupported left operand type for + ("Empty") \ # N: Left operand is of type "Union[int, Empty, None]" if x is _empty: reveal_type(x) # N: Revealed type is "Literal[__main__.Empty.token]" return 0 elif x is None: reveal_type(x) # N: Revealed type is "None" return 1 else: # At this point typechecker knows that x can only have type int reveal_type(x) # N: Revealed type is "builtins.int" return x + 2 [builtins fixtures/primitives.pyi] [case testEnumReachabilityPEP484ExampleWithMultipleValues] from typing import Union from enum import Enum class Reason(Enum): timeout = 1 error = 2 def process(response: Union[str, Reason] = '') -> str: if response is Reason.timeout: reveal_type(response) # N: Revealed type is "Literal[__main__.Reason.timeout]" return 'TIMEOUT' elif response is Reason.error: reveal_type(response) # N: Revealed type is "Literal[__main__.Reason.error]" return 'ERROR' else: # response can be only str, all other possible values exhausted reveal_type(response) # N: Revealed type is "builtins.str" return 'PROCESSED: ' + response [builtins fixtures/primitives.pyi] [case testEnumReachabilityPEP484ExampleSingleton] from typing import Final, Union from enum import Enum class Empty(Enum): token = 0 _empty = Empty.token def func(x: Union[int, None, Empty] = _empty) -> int: boom = x + 42 # E: Unsupported left operand type for + ("None") \ # E: Unsupported left operand type for + ("Empty") \ # N: Left operand is of type "Union[int, Empty, None]" if x is _empty: reveal_type(x) # N: Revealed type is "Literal[__main__.Empty.token]" return 0 elif x is None: reveal_type(x) # N: Revealed type is "None" return 1 else: # At this point typechecker knows that x can only have type int reveal_type(x) # N: Revealed type is "builtins.int" return x + 2 [builtins fixtures/primitives.pyi] [case testEnumReachabilityPEP484ExampleSingletonWithMethod] # flags: --python-version 3.11 from typing import Final, Union from enum import Enum, member class Empty(Enum): # note, that without `member` we cannot tell that `token` is a member: token = member(lambda x: x) def f(self) -> int: return 1 _empty = Empty.token reveal_type(_empty) # N: Revealed type is "__main__.Empty" reveal_type(Empty.f) # N: Revealed type is "def (self: __main__.Empty) -> builtins.int" def func(x: Union[int, None, Empty] = _empty) -> int: boom = x + 42 # E: Unsupported left operand type for + ("None") \ # E: Unsupported left operand type for + ("Empty") \ # N: Left operand is of type "Union[int, Empty, None]" if x is _empty: reveal_type(x) # N: Revealed type is "Literal[__main__.Empty.token]" return 0 elif x is None: reveal_type(x) # N: Revealed type is "None" return 1 else: # At this point typechecker knows that x can only have type int reveal_type(x) # N: Revealed type is "builtins.int" return x + 2 [builtins fixtures/primitives.pyi] [case testAssignEnumAsAttribute] from enum import Enum class A: def __init__(self) -> None: self.b = Enum("b", [("foo", "bar")]) # E: Enum type as attribute is not supported reveal_type(A().b) # N: Revealed type is "Any" [builtins fixtures/enum.pyi] [case testEnumReachabilityWithChaining] from enum import Enum class Foo(Enum): A = 1 B = 2 x: Foo y: Foo # We can't narrow anything in the else cases -- what if # x is Foo.A and y is Foo.B or vice versa, for example? if x is y is Foo.A: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" elif x is y is Foo.B: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.B]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.B]" else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "__main__.Foo" if x is Foo.A is y: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" elif x is Foo.B is y: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.B]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.B]" else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "__main__.Foo" if Foo.A is x is y: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" elif Foo.B is x is y: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.B]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.B]" else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "__main__.Foo" [builtins fixtures/primitives.pyi] [case testEnumReachabilityWithChainingDisjoint] # flags: --warn-unreachable from enum import Enum class Foo(Enum): A = 1 B = 2 # Used to divide up a chained comparison into multiple identity groups def __lt__(self, other: object) -> bool: return True x: Foo y: Foo # No conflict if x is Foo.A < y is Foo.B: reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.B]" else: # Note: we can't narrow in this case. What if both x and y # are Foo.A, for example? reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(y) # N: Revealed type is "__main__.Foo" # The standard output when we end up inferring two disjoint facts about the same expr if x is Foo.A and x is Foo.B: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" # ..and we get the same result if we have two disjoint groups within the same comp expr if x is Foo.A < x is Foo.B: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" [builtins fixtures/primitives.pyi] [case testEnumReachabilityWithChainingDirectConflict] # flags: --warn-unreachable from enum import Enum from typing import Final, Literal class Foo(Enum): A = 1 B = 2 C = 3 x: Foo if x is Foo.A is Foo.B: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" literal_a: Literal[Foo.A] literal_b: Literal[Foo.B] if x is literal_a is literal_b: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" final_a: Final = Foo.A final_b: Final = Foo.B if x is final_a is final_b: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "__main__.Foo" reveal_type(x) # N: Revealed type is "__main__.Foo" [builtins fixtures/primitives.pyi] [case testEnumReachabilityWithChainingBigDisjoints] # flags: --warn-unreachable from enum import Enum from typing import Final, Literal class Foo(Enum): A = 1 B = 2 C = 3 def __lt__(self, other: object) -> bool: return True x0: Foo x1: Foo x2: Foo x3: Foo x4: Foo x5: Foo if x0 is x1 is Foo.A is x2 < x3 is Foo.B is x4 is x5: reveal_type(x0) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(x1) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(x2) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(x3) # N: Revealed type is "Literal[__main__.Foo.B]" reveal_type(x4) # N: Revealed type is "Literal[__main__.Foo.B]" reveal_type(x5) # N: Revealed type is "Literal[__main__.Foo.B]" else: # We unfortunately can't narrow away anything. For example, # what if x0 == Foo.A and x1 == Foo.B or vice versa? reveal_type(x0) # N: Revealed type is "__main__.Foo" reveal_type(x1) # N: Revealed type is "__main__.Foo" reveal_type(x2) # N: Revealed type is "__main__.Foo" reveal_type(x3) # N: Revealed type is "__main__.Foo" reveal_type(x4) # N: Revealed type is "__main__.Foo" reveal_type(x5) # N: Revealed type is "__main__.Foo" [builtins fixtures/primitives.pyi] [case testPrivateAttributeNotAsEnumMembers] import enum class Comparator(enum.Enum): LessThan = "<" LessThanOrEqualTo = "<=" EqualTo = "==" NotEqualTo = "!=" GreaterThanOrEqualTo = ">=" GreaterThan = ">" __foo__ = { LessThan: 1, LessThanOrEqualTo: 2, EqualTo: 3, NotEqualTo: 4, GreaterThanOrEqualTo: 5, GreaterThan: 6, } def foo(self) -> int: return Comparator.__foo__[self.value] reveal_type(Comparator.__foo__) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" [builtins fixtures/dict.pyi] [case testEnumWithInstanceAttributes] from enum import Enum class Foo(Enum): def __init__(self, value: int) -> None: self.foo = "bar" A = 1 B = 2 a = Foo.A reveal_type(a.value) # N: Revealed type is "Union[Literal[1]?, Literal[2]?]" reveal_type(a._value_) # N: Revealed type is "Union[Literal[1]?, Literal[2]?]" [builtins fixtures/enum.pyi] [case testNewSetsUnexpectedValueType] from enum import Enum class bytes: def __new__(cls): pass class Foo(bytes, Enum): def __new__(cls, value: int) -> 'Foo': obj = bytes.__new__(cls) obj._value_ = "Number %d" % value return obj A = 1 B = 2 a = Foo.A reveal_type(a.value) # N: Revealed type is "Any" reveal_type(a._value_) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [case testValueTypeWithNewInParentClass] from enum import Enum class bytes: def __new__(cls): pass class Foo(bytes, Enum): def __new__(cls, value: int) -> 'Foo': obj = bytes.__new__(cls) obj._value_ = "Number %d" % value return obj class Bar(Foo): A = 1 B = 2 a = Bar.A reveal_type(a.value) # N: Revealed type is "Any" reveal_type(a._value_) # N: Revealed type is "Any" [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testEnumNarrowedToTwoLiterals] # Regression test: two literals of an enum would be joined # as the full type, regardless of the amount of elements # the enum contains. from enum import Enum from typing import Literal, Union class Foo(Enum): A = 1 B = 2 C = 3 def f(x: Foo): if x is Foo.A: return x if x is Foo.B: pass reveal_type(x) # N: Revealed type is "Union[Literal[__main__.Foo.B], Literal[__main__.Foo.C]]" [builtins fixtures/bool.pyi] [case testEnumTypeCompatibleWithLiteralUnion] from enum import Enum from typing import Literal class E(Enum): A = 1 B = 2 C = 3 e: E a: Literal[E.A, E.B, E.C] = e b: Literal[E.A, E.B] = e # E: Incompatible types in assignment (expression has type "E", variable has type "Literal[E.A, E.B]") c: Literal[E.A, E.C] = e # E: Incompatible types in assignment (expression has type "E", variable has type "Literal[E.A, E.C]") b = a # E: Incompatible types in assignment (expression has type "Literal[E.A, E.B, E.C]", variable has type "Literal[E.A, E.B]") [builtins fixtures/bool.pyi] [case testIntEnumWithNewTypeValue] from typing import NewType from enum import IntEnum N = NewType("N", int) class E(IntEnum): A = N(0) reveal_type(E.A.value) # N: Revealed type is "__main__.N" [builtins fixtures/enum.pyi] [case testEnumFinalValues] from enum import Enum class Medal(Enum): gold = 1 silver = 2 # Another value: Medal.gold = 0 # E: Cannot assign to final attribute "gold" # Same value: Medal.silver = 2 # E: Cannot assign to final attribute "silver" [builtins fixtures/enum.pyi] [case testEnumFinalValuesCannotRedefineValueProp] from enum import Enum class Types(Enum): key = 0 value = 1 [builtins fixtures/enum.pyi] [case testEnumReusedKeys] # https://github.com/python/mypy/issues/11248 from enum import Enum class Correct(Enum): x = 'y' y = 'x' class Correct2(Enum): x = 'y' __z = 'y' __z = 'x' class Foo(Enum): A = 1 A = 'a' # E: Attempted to reuse member name "A" in Enum definition "Foo" \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(Foo.A.value) # N: Revealed type is "Literal[1]?" class Bar(Enum): A = 1 B = A = 2 # E: Attempted to reuse member name "A" in Enum definition "Bar" class Baz(Enum): A = 1 B, A = (1, 2) # E: Attempted to reuse member name "A" in Enum definition "Baz" [builtins fixtures/tuple.pyi] [case testEnumReusedKeysOverlapWithLocalVar] from enum import Enum x = 1 class Foo(Enum): x = 2 def method(self) -> None: x = 3 x = 4 [builtins fixtures/bool.pyi] [case testEnumImplicitlyFinalForSubclassing] from enum import Enum, IntEnum, Flag, IntFlag class NonEmptyEnum(Enum): x = 1 class NonEmptyIntEnum(IntEnum): x = 1 class NonEmptyFlag(Flag): x = 1 class NonEmptyIntFlag(IntFlag): x = 1 class ErrorEnumWithValue(NonEmptyEnum): # E: Cannot extend enum with existing members: "NonEmptyEnum" x = 1 # E: Cannot override final attribute "x" (previously declared in base class "NonEmptyEnum") class ErrorIntEnumWithValue(NonEmptyIntEnum): # E: Cannot extend enum with existing members: "NonEmptyIntEnum" x = 1 # E: Cannot override final attribute "x" (previously declared in base class "NonEmptyIntEnum") class ErrorFlagWithValue(NonEmptyFlag): # E: Cannot extend enum with existing members: "NonEmptyFlag" x = 1 # E: Cannot override final attribute "x" (previously declared in base class "NonEmptyFlag") class ErrorIntFlagWithValue(NonEmptyIntFlag): # E: Cannot extend enum with existing members: "NonEmptyIntFlag" x = 1 # E: Cannot override final attribute "x" (previously declared in base class "NonEmptyIntFlag") class ErrorEnumWithoutValue(NonEmptyEnum): # E: Cannot extend enum with existing members: "NonEmptyEnum" pass class ErrorIntEnumWithoutValue(NonEmptyIntEnum): # E: Cannot extend enum with existing members: "NonEmptyIntEnum" pass class ErrorFlagWithoutValue(NonEmptyFlag): # E: Cannot extend enum with existing members: "NonEmptyFlag" pass class ErrorIntFlagWithoutValue(NonEmptyIntFlag): # E: Cannot extend enum with existing members: "NonEmptyIntFlag" pass [builtins fixtures/bool.pyi] [case testEnumImplicitlyFinalForSubclassingWithCallableMember] # flags: --python-version 3.11 from enum import Enum, IntEnum, Flag, IntFlag, member class NonEmptyEnum(Enum): @member def call(self) -> None: ... class NonEmptyIntEnum(IntEnum): @member def call(self) -> None: ... class NonEmptyFlag(Flag): @member def call(self) -> None: ... class NonEmptyIntFlag(IntFlag): @member def call(self) -> None: ... class ErrorEnumWithoutValue(NonEmptyEnum): # E: Cannot extend enum with existing members: "NonEmptyEnum" pass class ErrorIntEnumWithoutValue(NonEmptyIntEnum): # E: Cannot extend enum with existing members: "NonEmptyIntEnum" pass class ErrorFlagWithoutValue(NonEmptyFlag): # E: Cannot extend enum with existing members: "NonEmptyFlag" pass class ErrorIntFlagWithoutValue(NonEmptyIntFlag): # E: Cannot extend enum with existing members: "NonEmptyIntFlag" pass [builtins fixtures/bool.pyi] [case testEnumCanExtendEnumsWithNonMembers] # flags: --python-version 3.11 from enum import Enum, IntEnum, Flag, IntFlag, nonmember class NonEmptyEnum(Enum): x = nonmember(1) class NonEmptyIntEnum(IntEnum): x = nonmember(1) class NonEmptyFlag(Flag): x = nonmember(1) class NonEmptyIntFlag(IntFlag): x = nonmember(1) class ErrorEnumWithoutValue(NonEmptyEnum): pass class ErrorIntEnumWithoutValue(NonEmptyIntEnum): pass class ErrorFlagWithoutValue(NonEmptyFlag): pass class ErrorIntFlagWithoutValue(NonEmptyIntFlag): pass [builtins fixtures/bool.pyi] [case testLambdaIsNotEnumMember] from enum import Enum class My(Enum): x = lambda a: a class Other(My): ... [builtins fixtures/bool.pyi] [case testSubclassingNonFinalEnums] from enum import Enum, IntEnum, Flag, IntFlag, EnumMeta def decorator(func): return func class EmptyEnum(Enum): pass class EmptyIntEnum(IntEnum): pass class EmptyFlag(Flag): pass class EmptyIntFlag(IntFlag): pass class EmptyEnumMeta(EnumMeta): pass class NonEmptyEnumSub(EmptyEnum): x = 1 class NonEmptyIntEnumSub(EmptyIntEnum): x = 1 class NonEmptyFlagSub(EmptyFlag): x = 1 class NonEmptyIntFlagSub(EmptyIntFlag): x = 1 class NonEmptyEnumMetaSub(EmptyEnumMeta): x = 1 class EmptyEnumSub(EmptyEnum): def method(self) -> None: pass @decorator def other(self) -> None: pass class EmptyIntEnumSub(EmptyIntEnum): def method(self) -> None: pass class EmptyFlagSub(EmptyFlag): def method(self) -> None: pass class EmptyIntFlagSub(EmptyIntFlag): def method(self) -> None: pass class EmptyEnumMetaSub(EmptyEnumMeta): def method(self) -> None: pass class NestedEmptyEnumSub(EmptyEnumSub): x = 1 class NestedEmptyIntEnumSub(EmptyIntEnumSub): x = 1 class NestedEmptyFlagSub(EmptyFlagSub): x = 1 class NestedEmptyIntFlagSub(EmptyIntFlagSub): x = 1 class NestedEmptyEnumMetaSub(EmptyEnumMetaSub): x = 1 [builtins fixtures/bool.pyi] [case testEnumExplicitlyAndImplicitlyFinal] from typing import final from enum import Enum, IntEnum, Flag, IntFlag, EnumMeta @final class EmptyEnum(Enum): pass @final class EmptyIntEnum(IntEnum): pass @final class EmptyFlag(Flag): pass @final class EmptyIntFlag(IntFlag): pass @final class EmptyEnumMeta(EnumMeta): pass class EmptyEnumSub(EmptyEnum): # E: Cannot inherit from final class "EmptyEnum" pass class EmptyIntEnumSub(EmptyIntEnum): # E: Cannot inherit from final class "EmptyIntEnum" pass class EmptyFlagSub(EmptyFlag): # E: Cannot inherit from final class "EmptyFlag" pass class EmptyIntFlagSub(EmptyIntFlag): # E: Cannot inherit from final class "EmptyIntFlag" pass class EmptyEnumMetaSub(EmptyEnumMeta): # E: Cannot inherit from final class "EmptyEnumMeta" pass @final class NonEmptyEnum(Enum): x = 1 @final class NonEmptyIntEnum(IntEnum): x = 1 @final class NonEmptyFlag(Flag): x = 1 @final class NonEmptyIntFlag(IntFlag): x = 1 @final class NonEmptyEnumMeta(EnumMeta): x = 1 class ErrorEnumWithoutValue(NonEmptyEnum): # E: Cannot inherit from final class "NonEmptyEnum" \ # E: Cannot extend enum with existing members: "NonEmptyEnum" pass class ErrorIntEnumWithoutValue(NonEmptyIntEnum): # E: Cannot inherit from final class "NonEmptyIntEnum" \ # E: Cannot extend enum with existing members: "NonEmptyIntEnum" pass class ErrorFlagWithoutValue(NonEmptyFlag): # E: Cannot inherit from final class "NonEmptyFlag" \ # E: Cannot extend enum with existing members: "NonEmptyFlag" pass class ErrorIntFlagWithoutValue(NonEmptyIntFlag): # E: Cannot inherit from final class "NonEmptyIntFlag" \ # E: Cannot extend enum with existing members: "NonEmptyIntFlag" pass class ErrorEnumMetaWithoutValue(NonEmptyEnumMeta): # E: Cannot inherit from final class "NonEmptyEnumMeta" pass [builtins fixtures/bool.pyi] [case testEnumFinalSubtypingEnumMetaSpecialCase] from enum import EnumMeta # `EnumMeta` types are not `Enum`s class SubMeta(EnumMeta): x = 1 class SubSubMeta(SubMeta): x = 2 [builtins fixtures/bool.pyi] [case testEnumFinalSubtypingOverloadedSpecialCase] from typing import overload from enum import Enum, IntEnum, Flag, IntFlag, EnumMeta class EmptyEnum(Enum): @overload def method(self, arg: int) -> int: pass @overload def method(self, arg: str) -> str: pass def method(self, arg): pass class EmptyIntEnum(IntEnum): @overload def method(self, arg: int) -> int: pass @overload def method(self, arg: str) -> str: pass def method(self, arg): pass class EmptyFlag(Flag): @overload def method(self, arg: int) -> int: pass @overload def method(self, arg: str) -> str: pass def method(self, arg): pass class EmptyIntFlag(IntFlag): @overload def method(self, arg: int) -> int: pass @overload def method(self, arg: str) -> str: pass def method(self, arg): pass class EmptyEnumMeta(EnumMeta): @overload def method(self, arg: int) -> int: pass @overload def method(self, arg: str) -> str: pass def method(self, arg): pass class NonEmptyEnumSub(EmptyEnum): x = 1 class NonEmptyIntEnumSub(EmptyIntEnum): x = 1 class NonEmptyFlagSub(EmptyFlag): x = 1 class NonEmptyIntFlagSub(EmptyIntFlag): x = 1 class NonEmptyEnumMetaSub(EmptyEnumMeta): x = 1 [builtins fixtures/bool.pyi] [case testEnumFinalSubtypingMethodAndValueSpecialCase] from enum import Enum, IntEnum, Flag, IntFlag, EnumMeta def decorator(func): return func class NonEmptyEnum(Enum): x = 1 def method(self) -> None: pass @decorator def other(self) -> None: pass class NonEmptyIntEnum(IntEnum): x = 1 def method(self) -> None: pass class NonEmptyFlag(Flag): x = 1 def method(self) -> None: pass class NonEmptyIntFlag(IntFlag): x = 1 def method(self) -> None: pass class ErrorEnumWithoutValue(NonEmptyEnum): # E: Cannot extend enum with existing members: "NonEmptyEnum" pass class ErrorIntEnumWithoutValue(NonEmptyIntEnum): # E: Cannot extend enum with existing members: "NonEmptyIntEnum" pass class ErrorFlagWithoutValue(NonEmptyFlag): # E: Cannot extend enum with existing members: "NonEmptyFlag" pass class ErrorIntFlagWithoutValue(NonEmptyIntFlag): # E: Cannot extend enum with existing members: "NonEmptyIntFlag" pass [builtins fixtures/bool.pyi] [case testFinalEnumWithClassDef] from enum import Enum class A(Enum): class Inner: pass class B(A): pass # E: Cannot extend enum with existing members: "A" class A1(Enum): class __Inner: pass class B1(A1): pass [builtins fixtures/bool.pyi] [case testEnumFinalSpecialProps] # https://github.com/python/mypy/issues/11699 # https://github.com/python/mypy/issues/11820 from enum import Enum, IntEnum class BaseWithSpecials: __slots__ = () __doc__ = 'doc' __module__ = 'module' __annotations__ = {'a': int} __dict__ = {'a': 1} class E(BaseWithSpecials, Enum): name = 'a' value = 'b' _name_ = 'a1' _value_ = 'b2' _order_ = 'X Y' __order__ = 'X Y' __slots__ = () __doc__ = 'doc' __module__ = 'module' __annotations__ = {'a': int} __dict__ = {'a': 1} class EI(IntEnum): name = 'a' value = 1 _name_ = 'a1' _value_ = 2 _order_ = 'X Y' __order__ = 'X Y' __slots__ = () __doc__ = 'doc' __module__ = 'module' __annotations__ = {'a': int} __dict__ = {'a': 1} E._order_ = 'a' # E: Cannot assign to final attribute "_order_" EI.value = 2 # E: Cannot assign to final attribute "value" [builtins fixtures/dict.pyi] [case testEnumNotFinalWithMethodsAndUninitializedValues] # https://github.com/python/mypy/issues/11578 from enum import Enum from typing import Final class A(Enum): x: int def method(self) -> int: pass class B(A): x = 1 # E: Cannot override writable attribute "x" with a final one \ # E: Incompatible types in assignment (expression has type "B", base class "A" defined the type as "int") class A1(Enum): x: int = 1 # E: Enum members must be left unannotated \ # N: See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members class B1(A1): # E: Cannot extend enum with existing members: "A1" pass class A2(Enum): x = 2 class B2(A2): # E: Cannot extend enum with existing members: "A2" pass # We leave this `Final` without a value, # because we need to test annotation only mode: class A3(Enum): x: Final[int] # type: ignore class B3(A3): x = 1 # E: Cannot override final attribute "x" (previously declared in base class "A3") \ # E: Incompatible types in assignment (expression has type "B3", base class "A3" defined the type as "int") [builtins fixtures/bool.pyi] [case testEnumNotFinalWithMethodsAndUninitializedValuesStub] import lib [file lib.pyi] from enum import Enum class A(Enum): # E: Detected enum "lib.A" in a type stub with zero members. There is a chance this is due to a recent change in the semantics of enum membership. If so, use `member = value` to mark an enum member, instead of `member: type` \ # N: See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members x: int class B(A): x = 1 # E: Cannot override writable attribute "x" with a final one \ # E: Incompatible types in assignment (expression has type "B", base class "A" defined the type as "int") class C(Enum): x = 1 class D(C): # E: Cannot extend enum with existing members: "C" \ # E: Detected enum "lib.D" in a type stub with zero members. There is a chance this is due to a recent change in the semantics of enum membership. If so, use `member = value` to mark an enum member, instead of `member: type` \ # N: See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members x: int # E: Incompatible types in assignment (expression has type "int", base class "C" defined the type as "C") \ # E: Cannot assign to final name "x" [builtins fixtures/bool.pyi] [case testEnumNotFinalWithMethodsAndUninitializedValuesStubMember] # flags: --python-version 3.11 # This was added in 3.11 import lib [file lib.pyi] from enum import Enum, member class A(Enum): @member def x(self) -> None: ... [builtins fixtures/bool.pyi] [case testEnumLiteralValues] from enum import Enum class A(Enum): str = "foo" int = 1 bool = False tuple = (1,) reveal_type(A.str.value) # N: Revealed type is "Literal['foo']?" reveal_type(A.int.value) # N: Revealed type is "Literal[1]?" reveal_type(A.bool.value) # N: Revealed type is "Literal[False]?" reveal_type(A.tuple.value) # N: Revealed type is "tuple[Literal[1]?]" [builtins fixtures/tuple.pyi] [case testFinalWithPrivateAssignment] import enum class Some(enum.Enum): __priv = 1 class Other(Some): # Should pass pass [builtins fixtures/tuple.pyi] [case testFinalWithDunderAssignment] import enum class Some(enum.Enum): __some__ = 1 class Other(Some): # Should pass pass [builtins fixtures/tuple.pyi] [case testFinalWithSunderAssignment] import enum class Some(enum.Enum): _some_ = 1 class Other(Some): # Should pass pass [builtins fixtures/tuple.pyi] [case testFinalWithMethodAssignment] import enum from typing import overload class Some(enum.Enum): def lor(self, other) -> bool: pass ror = lor class Other(Some): # Should pass pass class WithOverload(enum.IntEnum): @overload def meth(self, arg: int) -> int: pass @overload def meth(self, arg: str) -> str: pass def meth(self, arg): pass alias = meth class SubWithOverload(WithOverload): # Should pass pass [builtins fixtures/tuple.pyi] [case testEnumBaseClassesOrder] import enum # Base types: class First: def __new__(cls, val): pass class Second: def __new__(cls, val): pass class Third: def __new__(cls, val): pass class Mixin: pass class EnumWithCustomNew(enum.Enum): def __new__(cls, val): pass class SecondEnumWithCustomNew(enum.Enum): def __new__(cls, val): pass # Correct Enums: class Correct0(enum.Enum): pass class Correct1(Mixin, First, enum.Enum): pass class Correct2(First, enum.Enum): pass class Correct3(Mixin, enum.Enum): pass class RegularClass(Mixin, First, Second): pass class Correct5(enum.Enum): pass # Correct inheritance: class _InheritingDataAndMixin(Correct1): pass class _CorrectWithData(First, Correct0): pass class _CorrectWithDataAndMixin(Mixin, First, Correct0): pass class _CorrectWithMixin(Mixin, Correct2): pass class _CorrectMultipleEnumBases(Correct0, Correct5): pass class _MultipleEnumBasesAndMixin(int, Correct0, enum.Flag): pass class _MultipleEnumBasesWithCustomNew(int, EnumWithCustomNew, SecondEnumWithCustomNew): pass # Wrong Enums: class TwoDataTypesViaInheritance(Second, Correct2): # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Correct2" pass class TwoDataTypesViaInheritanceAndMixin(Second, Correct2, Mixin): # E: No non-enum mixin classes are allowed after "__main__.Correct2" \ # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Correct2" pass class MixinAfterEnum1(enum.Enum, Mixin): # E: No non-enum mixin classes are allowed after "enum.Enum" pass class MixinAfterEnum2(First, enum.Enum, Mixin): # E: No non-enum mixin classes are allowed after "enum.Enum" pass class TwoDataTypes(First, Second, enum.Enum): # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Second" pass class TwoDataTypesAndIntEnumMixin(First, Second, enum.IntEnum, Mixin): # E: No non-enum mixin classes are allowed after "enum.IntEnum" \ # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Second" pass class ThreeDataTypes(First, Second, Third, enum.Enum): # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Second" \ # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Third" pass class ThreeDataTypesAndMixin(First, Second, Third, enum.Enum, Mixin): # E: No non-enum mixin classes are allowed after "enum.Enum" \ # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Second" \ # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Third" pass class FromEnumAndOther1(Correct2, Second, enum.Enum): # E: No non-enum mixin classes are allowed after "__main__.Correct2" \ # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Second" pass class FromEnumAndOther2(Correct2, Second): # E: No non-enum mixin classes are allowed after "__main__.Correct2" \ # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.Second" pass [builtins fixtures/tuple.pyi] [case testRegression12258] from enum import Enum class MyEnum(Enum): ... class BytesEnum(bytes, MyEnum): ... # Should be ok [builtins fixtures/tuple.pyi] [case testEnumWithNewHierarchy] import enum class A: def __new__(cls, val): ... class B(A): def __new__(cls, val): ... class C: def __new__(cls, val): ... class E1(A, enum.Enum): ... class E2(B, enum.Enum): ... # Errors: class W1(C, E1): ... # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.E1" class W2(C, E2): ... # E: Only a single data type mixin is allowed for Enum subtypes, found extra "__main__.E2" [builtins fixtures/tuple.pyi] [case testEnumValueUnionSimplification] from enum import IntEnum from typing import Any class C(IntEnum): X = 0 Y = 1 Z = 2 def f1(c: C) -> None: x = {'x': c.value} reveal_type(x) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" def f2(c: C, a: Any) -> None: x = {'x': c.value, 'y': a} reveal_type(x) # N: Revealed type is "builtins.dict[builtins.str, Any]" y = {'y': a, 'x': c.value} reveal_type(y) # N: Revealed type is "builtins.dict[builtins.str, Any]" [builtins fixtures/dict.pyi] [case testEnumIgnoreIsDeleted] from enum import Enum class C(Enum): _ignore_ = 'X' C._ignore_ # E: "type[C]" has no attribute "_ignore_" [builtins fixtures/enum.pyi] [case testCanOverrideDunderAttributes] import typing from enum import Enum, Flag class BaseEnum(Enum): __dunder__ = 1 __labels__: typing.Dict[int, str] class Override(BaseEnum): __dunder__ = 2 __labels__ = {1: "1"} Override.__dunder__ = 3 BaseEnum.__dunder__ = 3 Override.__labels__ = {2: "2"} class FlagBase(Flag): __dunder__ = 1 __labels__: typing.Dict[int, str] class FlagOverride(FlagBase): __dunder__ = 2 __labels = {1: "1"} FlagOverride.__dunder__ = 3 FlagBase.__dunder__ = 3 FlagOverride.__labels__ = {2: "2"} [builtins fixtures/dict.pyi] [case testCanNotInitialize__members__] import typing from enum import Enum class WritingMembers(Enum): __members__: typing.Dict[Enum, Enum] = {} # E: Assigned "__members__" will be overridden by "Enum" internally class OnlyAnnotatedMembers(Enum): __members__: typing.Dict[Enum, Enum] [builtins fixtures/dict.pyi] [case testCanOverrideDunderOnNonFirstBaseEnum] import typing from enum import Enum class Some: __labels__: typing.Dict[int, str] class A(Some, Enum): __labels__ = {1: "1"} [builtins fixtures/dict.pyi] [case testEnumWithPartialTypes] from enum import Enum class Mixed(Enum): a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") b = None def check(self) -> None: reveal_type(Mixed.a.value) # N: Revealed type is "builtins.list[Any]" reveal_type(Mixed.b.value) # N: Revealed type is "None" # Inferring Any here instead of a union seems to be a deliberate # choice; see the testEnumValueInhomogeneous case above. reveal_type(self.value) # N: Revealed type is "Any" for field in Mixed: reveal_type(field.value) # N: Revealed type is "Any" if field.value is None: pass class AllPartialList(Enum): a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") b = [] # E: Need type annotation for "b" (hint: "b: list[] = ...") def check(self) -> None: reveal_type(self.value) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/tuple.pyi] [case testEnumPrivateAttributeNotMember] from enum import Enum class MyEnum(Enum): A = 1 B = 2 __my_dict = {A: "ham", B: "spam"} # TODO: change the next line to use MyEnum._MyEnum__my_dict when mypy implements name mangling x: MyEnum = MyEnum.__my_dict # E: Incompatible types in assignment (expression has type "dict[int, str]", variable has type "MyEnum") [builtins fixtures/enum.pyi] [case testEnumWithPrivateAttributeReachability] # flags: --warn-unreachable from enum import Enum class MyEnum(Enum): A = 1 B = 2 __my_dict = {A: "ham", B: "spam"} e: MyEnum if e == MyEnum.A: reveal_type(e) # N: Revealed type is "Literal[__main__.MyEnum.A]" elif e == MyEnum.B: reveal_type(e) # N: Revealed type is "Literal[__main__.MyEnum.B]" else: reveal_type(e) # E: Statement is unreachable [builtins fixtures/dict.pyi] [case testEnumNonMemberSupport] # flags: --python-version 3.11 # This was added in 3.11 from enum import Enum, nonmember class My(Enum): a = 1 b = 2 c = nonmember(3) reveal_type(My.a) # N: Revealed type is "Literal[__main__.My.a]?" reveal_type(My.b) # N: Revealed type is "Literal[__main__.My.b]?" reveal_type(My.c) # N: Revealed type is "builtins.int" def accepts_my(my: My): reveal_type(my.value) # N: Revealed type is "Union[Literal[1]?, Literal[2]?]" class Other(Enum): a = 1 @nonmember class Support: b = 2 reveal_type(Other.a) # N: Revealed type is "Literal[__main__.Other.a]?" reveal_type(Other.Support.b) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [case testEnumMemberSupport] # flags: --python-version 3.11 # This was added in 3.11 from enum import Enum, member class A(Enum): x = member(1) y = 2 reveal_type(A.x) # N: Revealed type is "Literal[__main__.A.x]?" reveal_type(A.x.value) # N: Revealed type is "Literal[1]?" reveal_type(A.y) # N: Revealed type is "Literal[__main__.A.y]?" reveal_type(A.y.value) # N: Revealed type is "Literal[2]?" def some_a(a: A): reveal_type(a.value) # N: Revealed type is "Union[Literal[1]?, Literal[2]?]" [builtins fixtures/dict.pyi] [case testEnumMemberAndNonMemberSupport] # flags: --python-version 3.11 --warn-unreachable # This was added in 3.11 from enum import Enum, member, nonmember class A(Enum): x = 1 y = member(2) z = nonmember(3) def some_a(a: A): if a is not A.x and a is not A.z: reveal_type(a) # N: Revealed type is "Literal[__main__.A.y]" if a is not A.y and a is not A.z: reveal_type(a) # N: Revealed type is "Literal[__main__.A.x]" if a is not A.x: reveal_type(a) # N: Revealed type is "Literal[__main__.A.y]" if a is not A.y: reveal_type(a) # N: Revealed type is "Literal[__main__.A.x]" [builtins fixtures/dict.pyi] [case testEnumAccessFromInstance] # flags: --python-version 3.11 --warn-unreachable # This was added in 3.11 from enum import Enum, member, nonmember class A(Enum): x = 1 y = member(2) z = nonmember(3) reveal_type(A.x) # N: Revealed type is "Literal[__main__.A.x]?" reveal_type(A.y) # N: Revealed type is "Literal[__main__.A.y]?" reveal_type(A.z) # N: Revealed type is "builtins.int" reveal_type(A.x.x) # N: Revealed type is "Literal[__main__.A.x]?" reveal_type(A.x.x.x) # N: Revealed type is "Literal[__main__.A.x]?" reveal_type(A.x.y) # N: Revealed type is "Literal[__main__.A.y]?" reveal_type(A.x.y.y) # N: Revealed type is "Literal[__main__.A.y]?" reveal_type(A.x.z) # N: Revealed type is "builtins.int" reveal_type(A.y.x) # N: Revealed type is "Literal[__main__.A.x]?" reveal_type(A.y.y) # N: Revealed type is "Literal[__main__.A.y]?" reveal_type(A.y.z) # N: Revealed type is "builtins.int" A.z.x # E: "int" has no attribute "x" class B(Enum): x = 1 value = 2 reveal_type(B.x) # N: Revealed type is "Literal[__main__.B.x]?" reveal_type(B.x.value) # N: Revealed type is "Literal[2]?" reveal_type(B.x.x.value) # N: Revealed type is "Literal[2]?" B.x.value.value # E: "int" has no attribute "value" B.x.value.value.value # E: "int" has no attribute "value" reveal_type(B.value) # N: Revealed type is "Literal[__main__.B.value]?" reveal_type(B.value.x) # N: Revealed type is "Literal[__main__.B.x]?" reveal_type(B.value.x.x) # N: Revealed type is "Literal[__main__.B.x]?" reveal_type(B.value.x.value) # N: Revealed type is "Literal[2]?" B.value.x.value.value # E: "int" has no attribute "value" B.value.value.value # E: "int" has no attribute "value" [builtins fixtures/dict.pyi] [case testErrorOnAnnotatedMember] from enum import Enum class Medal(Enum): gold: int = 1 # E: Enum members must be left unannotated \ # N: See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members silver: str = 2 # E: Enum members must be left unannotated \ # N: See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members \ # E: Incompatible types in assignment (expression has type "int", variable has type "str") bronze = 3 [builtins fixtures/enum.pyi] [case testEnumMemberWithPlaceholder] from enum import Enum class Pet(Enum): CAT = ... DOG: str = ... # E: Enum members must be left unannotated \ # N: See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members \ # E: Incompatible types in assignment (expression has type "ellipsis", variable has type "str") [builtins fixtures/enum.pyi] [case testEnumValueWithPlaceholderNodeType] # https://github.com/python/mypy/issues/11971 from enum import Enum from typing import Any, Callable, Dict class Foo(Enum): Bar: Foo = Callable[[str], None] # E: Enum members must be left unannotated \ # N: See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members \ # E: Incompatible types in assignment (expression has type "", variable has type "Foo") Baz: Any = Callable[[Dict[str, "Missing"]], None] # E: Enum members must be left unannotated \ # N: See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members \ # E: Type application targets a non-generic function or class \ # E: Name "Missing" is not defined reveal_type(Foo.Bar) # N: Revealed type is "Literal[__main__.Foo.Bar]?" reveal_type(Foo.Bar.value) # N: Revealed type is "__main__.Foo" reveal_type(Foo.Baz) # N: Revealed type is "Literal[__main__.Foo.Baz]?" reveal_type(Foo.Baz.value) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testEnumWithOnlyImplicitMembersUsingAnnotationOnly] # flags: --warn-unreachable import enum class E(enum.IntEnum): A: int B: int def do_check(value: E) -> None: reveal_type(value) # N: Revealed type is "__main__.E" # this is a nonmember check, not an emum member check, and it should not narrow the value if value is E.A: return reveal_type(value) # N: Revealed type is "__main__.E" "should be reachable" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testStrEnumClassCorrectIterable] from enum import StrEnum from typing import Type, TypeVar class Choices(StrEnum): LOREM = "lorem" IPSUM = "ipsum" var = list(Choices) reveal_type(var) # N: Revealed type is "builtins.list[__main__.Choices]" e: type[StrEnum] reveal_type(list(e)) # N: Revealed type is "builtins.list[enum.StrEnum]" T = TypeVar("T", bound=StrEnum) def list_vals(e: Type[T]) -> list[T]: reveal_type(list(e)) # N: Revealed type is "builtins.list[T`-1]" return list(e) reveal_type(list_vals(Choices)) # N: Revealed type is "builtins.list[__main__.Choices]" [builtins fixtures/enum.pyi] [case testEnumAsClassMemberNoCrash] # https://github.com/python/mypy/issues/18736 from enum import Enum class Base: def __init__(self, namespace: tuple[str, ...]) -> None: # Not a bug: trigger defer names = [name for name in namespace if fail] # E: Name "fail" is not defined self.o = Enum("o", names) # E: Enum type as attribute is not supported \ # E: Second argument of Enum() must be string, tuple, list or dict literal for mypy to determine Enum members [builtins fixtures/tuple.pyi] [case testSingleUnderscoreNameEnumMember] # flags: --warn-unreachable # https://github.com/python/mypy/issues/19271 from enum import Enum class Things(Enum): _ = "under score" def check(thing: Things) -> None: if thing is Things._: return None return None # E: Statement is unreachable [builtins fixtures/enum.pyi] [case testSunderValueTypeEllipsis] from foo.bar import ( Basic, FromStub, InheritedInt, InheritedStr, InheritedFlag, InheritedIntFlag, Wrapper ) reveal_type(Basic.FOO) # N: Revealed type is "Literal[foo.bar.Basic.FOO]?" reveal_type(Basic.FOO.value) # N: Revealed type is "Literal[1]?" reveal_type(Basic.FOO._value_) # N: Revealed type is "builtins.int" reveal_type(FromStub.FOO) # N: Revealed type is "Literal[foo.bar.FromStub.FOO]?" reveal_type(FromStub.FOO.value) # N: Revealed type is "builtins.int" reveal_type(FromStub.FOO._value_) # N: Revealed type is "builtins.int" reveal_type(Wrapper.Nested.FOO) # N: Revealed type is "Literal[foo.bar.Wrapper.Nested.FOO]?" reveal_type(Wrapper.Nested.FOO.value) # N: Revealed type is "builtins.int" reveal_type(Wrapper.Nested.FOO._value_) # N: Revealed type is "builtins.int" reveal_type(InheritedInt.FOO) # N: Revealed type is "Literal[foo.bar.InheritedInt.FOO]?" reveal_type(InheritedInt.FOO.value) # N: Revealed type is "builtins.int" reveal_type(InheritedInt.FOO._value_) # N: Revealed type is "builtins.int" reveal_type(InheritedStr.FOO) # N: Revealed type is "Literal[foo.bar.InheritedStr.FOO]?" reveal_type(InheritedStr.FOO.value) # N: Revealed type is "builtins.str" reveal_type(InheritedStr.FOO._value_) # N: Revealed type is "builtins.str" reveal_type(InheritedFlag.FOO) # N: Revealed type is "Literal[foo.bar.InheritedFlag.FOO]?" reveal_type(InheritedFlag.FOO.value) # N: Revealed type is "builtins.int" reveal_type(InheritedFlag.FOO._value_) # N: Revealed type is "builtins.int" reveal_type(InheritedIntFlag.FOO) # N: Revealed type is "Literal[foo.bar.InheritedIntFlag.FOO]?" reveal_type(InheritedIntFlag.FOO.value) # N: Revealed type is "builtins.int" reveal_type(InheritedIntFlag.FOO._value_) # N: Revealed type is "builtins.int" [file foo/__init__.pyi] [file foo/bar/__init__.pyi] from enum import Enum, IntEnum, StrEnum, Flag, IntFlag class Basic(Enum): _value_: int FOO = 1 class FromStub(Enum): _value_: int FOO = ... class Wrapper: class Nested(Enum): _value_: int FOO = ... class InheritedInt(IntEnum): FOO = ... class InheritedStr(StrEnum): FOO = ... class InheritedFlag(Flag): FOO = ... class InheritedIntFlag(IntFlag): FOO = ... [builtins fixtures/enum.pyi] [case testSunderValueTypeEllipsisNonStub] from enum import Enum, StrEnum class Basic(Enum): _value_: int FOO = 1 reveal_type(Basic.FOO) # N: Revealed type is "Literal[__main__.Basic.FOO]?" reveal_type(Basic.FOO.value) # N: Revealed type is "Literal[1]?" reveal_type(Basic.FOO._value_) # N: Revealed type is "builtins.int" # TODO: this and below should produce diagnostics, Ellipsis is not assignable to int # Now we do not check members against _value_ at all. class FromStub(Enum): _value_: int FOO = ... reveal_type(FromStub.FOO) # N: Revealed type is "Literal[__main__.FromStub.FOO]?" reveal_type(FromStub.FOO.value) # N: Revealed type is "builtins.ellipsis" reveal_type(FromStub.FOO._value_) # N: Revealed type is "builtins.int" class InheritedStr(StrEnum): FOO = ... reveal_type(InheritedStr.FOO) # N: Revealed type is "Literal[__main__.InheritedStr.FOO]?" reveal_type(InheritedStr.FOO.value) # N: Revealed type is "builtins.ellipsis" reveal_type(InheritedStr.FOO._value_) # N: Revealed type is "builtins.ellipsis" class Wrapper: class Nested(StrEnum): FOO = ... reveal_type(Wrapper.Nested.FOO) # N: Revealed type is "Literal[__main__.Wrapper.Nested.FOO]?" reveal_type(Wrapper.Nested.FOO.value) # N: Revealed type is "builtins.ellipsis" reveal_type(Wrapper.Nested.FOO._value_) # N: Revealed type is "builtins.ellipsis" [builtins fixtures/enum.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-errorcodes.test0000644000175100017510000013332315112307767021254 0ustar00runnerrunner-- Tests for error codes and ignoring errors using error codes -- -- These implicitly use --show-error-codes. [case testErrorCodeNoAttribute] import m m.x # E: Module has no attribute "x" [attr-defined] 'x'.foobar # E: "str" has no attribute "foobar" [attr-defined] from m import xx # E: Module "m" has no attribute "xx" [attr-defined] from m import think # E: Module "m" has no attribute "think"; maybe "thing"? [attr-defined] for x in 1: # E: "int" has no attribute "__iter__" (not iterable) [attr-defined] pass [file m.py] thing = 0 [builtins fixtures/module.pyi] [case testErrorCodeUndefinedName] x # E: Name "x" is not defined [name-defined] def f() -> None: y # E: Name "y" is not defined [name-defined] [file m.py] [builtins fixtures/module.pyi] [case testErrorCodeUnclassifiedError] class A: def __init__(self) -> int: \ # E: The return type of "__init__" must be None [misc] pass [case testErrorCodeNoteHasNoCode] reveal_type(1) # N: Revealed type is "Literal[1]?" [case testErrorCodeSyntaxError] 1 '' [out] main:1: error: Invalid syntax [syntax] [out version==3.10.0] main:1: error: Invalid syntax. Perhaps you forgot a comma? [syntax] [case testErrorCodeSyntaxError2] def f(): # E: Type signature has too many arguments [syntax] # type: (int) -> None 1 x = 0 # type: x y # E: Syntax error in type comment "x y" [syntax] [case testErrorCodeSyntaxError3] # This is a bit inconsistent -- syntax error would be more logical? x: 'a b' # E: Invalid type comment or annotation [valid-type] for v in x: # type: int, int # E: Syntax error in type annotation [syntax] \ # N: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) pass [case testErrorCodeSyntaxErrorIgnoreNote] # This is a bit inconsistent -- syntax error would be more logical? x: 'a b' # type: ignore[valid-type] for v in x: # type: int, int # type: ignore[syntax] pass [case testErrorCodeIgnore1] 'x'.foobar # type: ignore[attr-defined] 'x'.foobar # type: ignore[xyz] # E: "str" has no attribute "foobar" [attr-defined] \ # N: Error code "attr-defined" not covered by "type: ignore" comment 'x'.foobar # type: ignore [case testErrorCodeIgnore2] a = 'x'.foobar # type: int # type: ignore[attr-defined] b = 'x'.foobar # type: int # type: ignore[xyz] # E: "str" has no attribute "foobar" [attr-defined] \ # N: Error code "attr-defined" not covered by "type: ignore" comment c = 'x'.foobar # type: int # type: ignore [case testErrorCodeIgnoreMultiple1] a = 'x'.foobar(b) # type: ignore[name-defined, attr-defined] a = 'x'.foobar(b) # type: ignore[name-defined, xyz] # E: "str" has no attribute "foobar" [attr-defined] \ # N: Error code "attr-defined" not covered by "type: ignore" comment a = 'x'.foobar(b) # type: ignore[xyz, w, attr-defined] # E: Name "b" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment [case testErrorCodeIgnoreMultiple2] a = 'x'.foobar(c) # type: int # type: ignore[name-defined, attr-defined] b = 'x'.foobar(c) # type: int # type: ignore[name-defined, xyz] # E: "str" has no attribute "foobar" [attr-defined] \ # N: Error code "attr-defined" not covered by "type: ignore" comment [case testErrorCodeWarnUnusedIgnores1] # flags: --warn-unused-ignores x # type: ignore[name-defined, attr-defined] # E: Unused "type: ignore[attr-defined]" comment [unused-ignore] [case testErrorCodeWarnUnusedIgnores2] # flags: --warn-unused-ignores "x".foobar(y) # type: ignore[name-defined, attr-defined] [case testErrorCodeWarnUnusedIgnores3] # flags: --warn-unused-ignores "x".foobar(y) # type: ignore[name-defined, attr-defined, xyz] # E: Unused "type: ignore[xyz]" comment [unused-ignore] [case testErrorCodeWarnUnusedIgnores4] # flags: --warn-unused-ignores "x".foobar(y) # type: ignore[name-defined, attr-defined, valid-type] # E: Unused "type: ignore[valid-type]" comment [unused-ignore] [case testErrorCodeWarnUnusedIgnores5] # flags: --warn-unused-ignores "x".foobar(y) # type: ignore[name-defined, attr-defined, valid-type, xyz] # E: Unused "type: ignore[valid-type, xyz]" comment [unused-ignore] [case testErrorCodeWarnUnusedIgnores6_NoDetailWhenSingleErrorCode] # flags: --warn-unused-ignores "x" # type: ignore[name-defined] # E: Unused "type: ignore" comment [unused-ignore] [case testErrorCodeWarnUnusedIgnores7_WarnWhenErrorCodeDisabled] # flags: --warn-unused-ignores --disable-error-code name-defined x # type: ignore # E: Unused "type: ignore" comment [unused-ignore] x # type: ignore[name-defined] # E: Unused "type: ignore" comment [unused-ignore] "x".foobar(y) # type: ignore[name-defined, attr-defined] # E: Unused "type: ignore[name-defined]" comment [unused-ignore] [case testErrorCodeWarnUnusedIgnores8_IgnoreUnusedIgnore] # flags: --warn-unused-ignores --disable-error-code name-defined "x" # type: ignore[unused-ignore] "x" # type: ignore[name-defined, unused-ignore] "x" # type: ignore[xyz, unused-ignore] x # type: ignore[name-defined, unused-ignore] [case testErrorCodeMissingWhenRequired] # flags: --enable-error-code ignore-without-code "x" # type: ignore # E: "type: ignore" comment without error code [ignore-without-code] y # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[name-defined]" instead) [ignore-without-code] z # type: ignore[name-defined] "a" # type: ignore[ignore-without-code] [case testErrorCodeMissingDoesntTrampleUnusedIgnoresWarning] # flags: --enable-error-code ignore-without-code --warn-unused-ignores "x" # type: ignore # E: Unused "type: ignore" comment [unused-ignore] "y" # type: ignore[ignore-without-code] # E: Unused "type: ignore" comment [unused-ignore] z # type: ignore[ignore-without-code] # E: Unused "type: ignore" comment [unused-ignore] \ # E: Name "z" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment [case testErrorCodeMissingWholeFileIgnores] # flags: --enable-error-code ignore-without-code # type: ignore # whole file ignore x y # type: ignore # ignore the lack of error code since we ignore the whole file [case testErrorCodeMissingMultiple] # flags: --enable-error-code ignore-without-code from __future__ import annotations class A: attr: int def func(self, var: int) -> A | None: ... a: A | None # 'union-attr' should only be listed once (instead of twice) and list should be sorted a.func("invalid string").attr # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[arg-type, union-attr]" instead) [ignore-without-code] [builtins fixtures/tuple.pyi] [case testErrorCodeIgnoreWithExtraSpace] x # type: ignore [name-defined] x2 # type: ignore [ name-defined ] x3 # type: ignore [ xyz , name-defined ] x4 # type: ignore[xyz,name-defined] y # type: ignore [xyz] # E: Name "y" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment y # type: ignore[ xyz ] # E: Name "y" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment y # type: ignore[ xyz , foo ] # E: Name "y" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment a = z # type: int # type: ignore [name-defined] b = z2 # type: int # type: ignore [ name-defined ] c = z2 # type: int # type: ignore [ name-defined , xyz ] d = zz # type: int # type: ignore [xyz] # E: Name "zz" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment e = zz # type: int # type: ignore [ xyz ] # E: Name "zz" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment f = zz # type: int # type: ignore [ xyz,foo ] # E: Name "zz" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment [case testErrorCodeIgnoreAfterArgComment] def f(x # type: xyz # type: ignore[name-defined] # Comment ): # type () -> None pass def g(x # type: xyz # type: ignore # Comment ): # type () -> None pass def h(x # type: xyz # type: ignore[foo] # E: Name "xyz" is not defined [name-defined] \ # N: Error code "name-defined" not covered by "type: ignore" comment ): # type () -> None pass [case testErrorCodeIgnoreWithNote] import nostub # type: ignore[import] from defusedxml import xyz # type: ignore[import] [case testErrorCodeBadIgnore] import nostub # type: ignore xyz # E: Invalid "type: ignore" comment [syntax] \ # E: Cannot find implementation or library stub for module named "nostub" [import-not-found] \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports import nostub # type: ignore[ # E: Invalid "type: ignore" comment [syntax] import nostub # type: ignore[foo # E: Invalid "type: ignore" comment [syntax] import nostub # type: ignore[foo, # E: Invalid "type: ignore" comment [syntax] import nostub # type: ignore[foo]] # E: Invalid "type: ignore" comment [syntax] import nostub # type: ignore[foo][bar] # E: Invalid "type: ignore" comment [syntax] import nostub # type: ignore[foo] [bar] # E: Invalid "type: ignore" comment [syntax] x = 0 # type: ignore[ # E: Invalid "type: ignore" comment [syntax] def f(x, # type: int # type: ignore[ # E: Invalid "type: ignore" comment [syntax] ): # type: (...) -> None pass [case testErrorCodeBadIgnoreNoExtraComment] # Omit the E: ... comments, as they affect parsing import nostub # type: ignore xyz import nostub # type: ignore[xyz import nostub # type: ignore[xyz][xyz] x = 0 # type: ignore[ def f(x, # type: int # type: ignore[ ): # type: (...) -> None pass [out] main:2: error: Invalid "type: ignore" comment [syntax] main:2: error: Cannot find implementation or library stub for module named "nostub" [import-not-found] main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:3: error: Invalid "type: ignore" comment [syntax] main:4: error: Invalid "type: ignore" comment [syntax] main:5: error: Invalid "type: ignore" comment [syntax] main:6: error: Invalid "type: ignore" comment [syntax] [case testErrorCodeArgKindAndCount] def f(x: int) -> None: pass # N: "f" defined here f() # E: Missing positional argument "x" in call to "f" [call-arg] f(1, 2) # E: Too many arguments for "f" [call-arg] f(y=1) # E: Unexpected keyword argument "y" for "f" [call-arg] def g(*, x: int) -> None: pass g() # E: Missing named argument "x" for "g" [call-arg] def h(x: int, y: int, z: int) -> None: pass h(y=1, z=1) # E: Missing positional argument "x" in call to "h" [call-arg] h(y=1) # E: Missing positional arguments "x", "z" in call to "h" [call-arg] [case testErrorCodeArgType] def f(x: int) -> None: pass f('') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [arg-type] class A: def g(self, *, x: int) -> None: pass A().g(x='') # E: Argument "x" to "g" of "A" has incompatible type "str"; expected "int" [arg-type] [case testErrorCodeInvalidType] def f(): pass x: f # E: Function "__main__.f" is not valid as a type [valid-type] \ # N: Perhaps you need "Callable[...]" or a callback protocol? import sys y: sys # E: Module "sys" is not valid as a type [valid-type] \ # N: Perhaps you meant to use a protocol matching the module structure? z: y # E: Variable "__main__.y" is not valid as a type [valid-type] \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [builtins fixtures/tuple.pyi] [case testErrorCodeNeedTypeAnnotation] from typing import TypeVar T = TypeVar('T') def f() -> T: pass # E: A function returning TypeVar should receive at least one argument containing the same TypeVar [type-var] x = f() # E: Need type annotation for "x" [var-annotated] y = [] # E: Need type annotation for "y" (hint: "y: list[] = ...") [var-annotated] [builtins fixtures/list.pyi] [case testErrorCodeBadOverride] from typing import overload class A: def f(self) -> int: return 0 class B(A): def f(self) -> str: # E: Return type "str" of "f" incompatible with return type "int" in supertype "A" [override] return '' class C(A): def f(self, x: int) -> int: # E: Signature of "f" incompatible with supertype "A" [override] \ # N: Superclass: \ # N: def f(self) -> int \ # N: Subclass: \ # N: def f(self, x: int) -> int return 0 class D: def f(self, x: int) -> int: return 0 class E(D): def f(self, x: str) -> int: # E: Argument 1 of "f" is incompatible with supertype "D"; supertype defines the argument type as "int" [override] \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides return 0 class O: @overload def f(self, x: int) -> None: pass @overload def f(self, x: str) -> None: pass def f(self, x): pass class OO(O): @overload # E: Signature of "f" incompatible with supertype "O" [override] \ # N: Overload variants must be defined in the same order as they are in "O" def f(self, x: str) -> None: pass @overload def f(self, x: int) -> None: pass def f(self, x): pass [case testErrorCodeReturnValue] def f() -> int: return '' # E: Incompatible return value type (got "str", expected "int") [return-value] [case testErrorCodeMissingReturnValueInReturnStatement] def f() -> int: return # E: Return value expected [return-value] [case testErrorCodeAssignment] x: str = 0 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [assignment] def f(x: str = 0) -> None: # E: Incompatible default for argument "x" (default has type "int", argument has type "str") [assignment] pass class A: x = 0 class B(A): x = '' # E: Incompatible types in assignment (expression has type "str", base class "A" defined the type as "int") [assignment] a: A a.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [assignment] [case testErrorCodeMissingTypeArg] # flags: --disallow-any-generics from typing import List, TypeVar x: List # E: Missing type parameters for generic type "List" [type-arg] y: list # E: Missing type parameters for generic type "list" [type-arg] T = TypeVar('T') L = List[List[T]] z: L # E: Missing type parameters for generic type "L" [type-arg] [builtins fixtures/list.pyi] [case testErrorCodeUnionAttribute] from typing import Union class A: x: int class B: y: str a: Union[A, B] a.x # E: Item "B" of "Union[A, B]" has no attribute "x" [union-attr] [case testErrorCodeFunctionHasNoAnnotation] # flags: --disallow-untyped-defs def f(x): # E: Function is missing a type annotation [no-untyped-def] pass def g(x: int): # E: Function is missing a return type annotation [no-untyped-def] pass def h(x) -> None: # E: Function is missing a type annotation for one or more arguments [no-untyped-def] pass def gen(): # E: Function is missing a return type annotation [no-untyped-def] yield 1 def gen2(x: int): # E: Function is missing a return type annotation [no-untyped-def] yield 1 async def asyncf(): # E: Function is missing a return type annotation [no-untyped-def] return 0 async def asyncf2(x: int): # E: Function is missing a return type annotation [no-untyped-def] return 0 [typing fixtures/typing-async.pyi] [builtins fixtures/tuple.pyi] [case testErrorCodeCallUntypedFunction] # flags: --disallow-untyped-calls def f() -> None: g() # E: Call to untyped function "g" in typed context [no-untyped-call] def g(): pass [case testErrorCodeUntypedDecorator] # flags: --disallow-untyped-decorators --warn-unused-ignores def d(f): return f @d # E: Untyped decorator makes function "x" untyped [untyped-decorator] def x() -> int: return 1 @d # type: ignore def y() -> int: return 2 @d # type: ignore[untyped-decorator] def best() -> int: return 3 @d # type: ignore[misc] # E: Unused "type: ignore" comment [unused-ignore] \ # E: Untyped decorator makes function "z" untyped [untyped-decorator] \ # N: Error code "untyped-decorator" not covered by "type: ignore" comment def z() -> int: return 4 [case testErrorCodeIndexing] from typing import Dict x: Dict[int, int] x[''] # E: Invalid index type "str" for "dict[int, int]"; expected type "int" [index] 1[''] # E: Value of type "int" is not indexable [index] 1[''] = 1 # E: Unsupported target for indexed assignment ("int") [index] [builtins fixtures/dict.pyi] [case testErrorCodeInvalidTypeArg] from typing import TypeVar, Generic T = TypeVar('T', int, str) TT = TypeVar('TT', int, None) S = TypeVar('S', bound=str) def f(x: T) -> T: return x f(object()) # E: Value of type variable "T" of "f" cannot be "object" [type-var] def g(x: S) -> S: return x g(1) # E: Value of type variable "S" of "g" cannot be "int" [type-var] class C(Generic[T]): pass class D(Generic[S]): pass class E(Generic[S, T]): pass x: C[object] # E: Value of type variable "T" of "C" cannot be "object" [type-var] y: D[int] # E: Type argument "int" of "D" must be a subtype of "str" [type-var] z: D[int, int] # E: "D" expects 1 type argument, but 2 given [type-arg] def h(a: TT, s: S) -> None: b: C[TT] # E: Invalid type argument value for "C" [type-var] c: C[S] # E: Type variable "S" not valid as type argument value for "C" [type-var] [case testErrorCodeOperators] class A: pass A() + 1 # E: Unsupported left operand type for + ("A") [operator] 1 in A() # E: Unsupported right operand type for in ("A") [operator] A() < 1 # E: Unsupported left operand type for < ("A") [operator] -A() # E: Unsupported operand type for unary - ("A") [operator] +A() # E: Unsupported operand type for unary + ("A") [operator] ~A() # E: Unsupported operand type for ~ ("A") [operator] class B: def __add__(self, other: int) -> 'B': return self def __radd__(self, other: int) -> 'B': return self def __contains__(self, other: int) -> int: return 0 B() + '' # E: Unsupported operand types for + ("B" and "str") [operator] '' + B() # E: Unsupported operand types for + ("str" and "B") [operator] '' in B() # E: Unsupported operand types for in ("str" and "B") [operator] 1() # E: "int" not callable [operator] [builtins fixtures/tuple.pyi] [case testErrorCodeListOrDictItem] from typing import List, Dict x: List[int] = [''] # E: List item 0 has incompatible type "str"; expected "int" [list-item] y: Dict[int, int] = {1: ''} # E: Dict entry 0 has incompatible type "int": "str"; expected "int": "int" [dict-item] [builtins fixtures/dict.pyi] [case testErrorCodeTypedDict] from typing import TypedDict class D(TypedDict): x: int class E(TypedDict): x: int y: int a: D = {'x': ''} # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") [typeddict-item] b: D = {'y': ''} # E: Missing key "x" for TypedDict "D" [typeddict-item] \ # E: Extra key "y" for TypedDict "D" [typeddict-unknown-key] c = D(x=0) if int() else E(x=0, y=0) c = {} # E: Missing key "x" for TypedDict "D" [typeddict-item] d: D = {'x': '', 'y': 1} # E: Extra key "y" for TypedDict "D" [typeddict-unknown-key] \ # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") [typeddict-item] a['y'] = 1 # E: TypedDict "D" has no key "y" [typeddict-unknown-key] a['x'] = 'x' # E: Value of "x" has incompatible type "str"; expected "int" [typeddict-item] a['y'] # E: TypedDict "D" has no key "y" [typeddict-item] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testErrorCodeTypedDictNoteIgnore] from typing import TypedDict class A(TypedDict): one_commonpart: int two_commonparts: int a: A = {'one_commonpart': 1, 'two_commonparts': 2} a['other_commonpart'] = 3 # type: ignore[typeddict-unknown-key] not_exist = a['not_exist'] # type: ignore[typeddict-item] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testErrorCodeTypedDictSubCodeIgnore] from typing import TypedDict class D(TypedDict): x: int d: D = {'x': 1, 'y': 2} # type: ignore[typeddict-item] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testErrorCodeCannotDetermineType] y = x # E: Cannot determine type of "x" [has-type] # E: Name "x" is used before definition [used-before-def] reveal_type(y) # N: Revealed type is "Any" x = None [case testErrorCodeRedundantCast] # flags: --warn-redundant-casts from typing import cast x = cast(int, int()) # E: Redundant cast to "int" [redundant-cast] [case testErrorCodeInvalidCommentSignature] def f(x): # E: Type signature has too few arguments [syntax] # type: () -> None pass def g(x): # E: Type signature has too many arguments [syntax] # type: (int, int) -> None pass [case testErrorCodeNonOverlappingEquality] # flags: --strict-equality if int() == str(): # E: Non-overlapping equality check (left operand type: "int", right operand type: "str") [comparison-overlap] pass if int() != str(): # E: Non-overlapping equality check (left operand type: "int", right operand type: "str") [comparison-overlap] pass if int() is str(): # E: Non-overlapping identity check (left operand type: "int", right operand type: "str") [comparison-overlap] pass [builtins fixtures/primitives.pyi] [case testErrorCodeMissingModule] from defusedxml import xyz # E: Library stubs not installed for "defusedxml" [import-untyped] \ # N: Hint: "python3 -m pip install types-defusedxml" \ # N: (or run "mypy --install-types" to install all missing stub packages) from nonexistent import foobar # E: Cannot find implementation or library stub for module named "nonexistent" [import-not-found] import nonexistent2 # E: Cannot find implementation or library stub for module named "nonexistent2" [import-not-found] from nonexistent3 import * # E: Cannot find implementation or library stub for module named "nonexistent3" [import-not-found] from pkg import bad # E: Module "pkg" has no attribute "bad" [attr-defined] from pkg.bad2 import bad3 # E: Cannot find implementation or library stub for module named "pkg.bad2" [import-not-found] \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [file pkg/__init__.py] [case testErrorCodeAlreadyDefined] x: int x: str # E: Name "x" already defined on line 1 [no-redef] def f(): pass def f(): # E: Name "f" already defined on line 4 [no-redef] pass [case testErrorCodeMissingReturn] def f() -> int: # E: Missing return statement [return] x = 0 [case testErrorCodeReturnValueNotExpected] def f() -> None: return 1 # E: No return value expected [return-value] [case testErrorCodeFunctionDoesNotReturnValue] from typing import Callable def f() -> None: pass x = f() # E: "f" does not return a value (it only ever returns None) [func-returns-value] class A: def g(self) -> None: pass y = A().g() # E: "g" of "A" does not return a value (it only ever returns None) [func-returns-value] c: Callable[[], None] z = c() # E: Function does not return a value (it only ever returns None) [func-returns-value] [case testErrorCodeInstantiateAbstract] from abc import abstractmethod class A: @abstractmethod def f(self): pass class B(A): pass B() # E: Cannot instantiate abstract class "B" with abstract attribute "f" [abstract] [case testErrorCodeNewTypeNotSubclassable] from typing import Union, NewType X = NewType('X', Union[int, str]) # E: Argument 2 to NewType(...) must be subclassable (got "Union[int, str]") [valid-newtype] [case testErrorCodeOverloadVariant] from typing import overload @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x): return x f(object()) # E: No overload variant of "f" matches argument type "object" [call-overload] \ # N: Possible overload variants: \ # N: def f(x: int) -> int \ # N: def f(x: str) -> str f() # E: All overload variants of "f" require at least one argument [call-overload] \ # N: Possible overload variants: \ # N: def f(x: int) -> int \ # N: def f(x: str) -> str f(1, 1) # E: No overload variant of "f" matches argument types "int", "int" [call-overload] \ # N: Possible overload variants: \ # N: def f(x: int) -> int \ # N: def f(x: str) -> str [case testErrorCodeOverloadVariantIgnore] from typing import overload @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x): return x f(object()) # type: ignore[call-overload] [case testErrorCodeAnyFromUnfollowedImport] # flags: --disallow-any-unimported from m import C # type: ignore def f(x: C) -> None: # E: Argument 1 to "f" becomes "Any" due to an unfollowed import [no-any-unimported] pass def g() -> C: ... # E: Return type becomes "Any" due to an unfollowed import [no-any-unimported] [case testErrorCodeReturnAny] # flags: --warn-return-any def f(): pass def g() -> int: return f() # E: Returning Any from function declared to return "int" [no-any-return] [case testErrorCodeFormatCall] '{:d}'.format('no') # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") [str-format] '{!x}'.format('Hm...') # E: Invalid conversion type "x", must be one of "r", "s" or "a" [str-format] '}{'.format() # E: Invalid conversion specifier in format string: unexpected } [str-format] '%d' % 'no' # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float, SupportsInt]") [str-format] '%d + %d' % (1, 2, 3) # E: Not all arguments converted during string formatting [str-format] '{}'.format(b'abc') # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes [str-bytes-safe] '%s' % b'abc' # E: If x = b'abc' then "%s" % x produces "b'abc'", not "abc". If this is desired behavior use "%r" % x. Otherwise, decode the bytes [str-bytes-safe] [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testErrorCodeIgnoreNamedDefinedNote] x: List[int] # type: ignore[name-defined] [case testErrorCodeProtocolProblemsIgnore] from typing import Protocol class P(Protocol): def f(self, x: str) -> None: ... class A: def f(self, x: int) -> None: ... def g(p: P) -> None: pass p: A g(p) # type: ignore[arg-type] [builtins fixtures/tuple.pyi] [case testErrorCodeNoneReturnNoteIgnore] # flags: --disallow-untyped-defs def f(): # type: ignore[no-untyped-def] pass [case testErrorCodeVarianceNoteIgnore] from typing import List def f(x: List[object]) -> None: pass a = [1] f(a) # type: ignore[arg-type] [builtins fixtures/list.pyi] [case testErrorCodeAssignToMethod] class A: def f(self) -> None: pass def g(self: A) -> None: pass A.f = g # E: Cannot assign to a method [method-assign] [case testErrorCodeDefinedHereNoteIgnore] import m m.f(kw=1) # type: ignore[call-arg] [file m.py] def f() -> None: pass [case testErrorCodeUnionNoteIgnore] from typing import Union class Foo: def __add__(self, x: Foo) -> Foo: pass def __radd__(self, x: Foo) -> Foo: pass class Bar: def __add__(self, x: Bar) -> Bar: pass def __radd__(self, x: Bar) -> Bar: pass a: Union[Foo, Bar] a + a # type: ignore[operator] a + Foo() # type: ignore[operator] Foo() + a # type: ignore[operator] [case testErrorCodeTypeIgnoreMisspelled1] x = y # type: ignored[foo] xx = y # type: ignored [foo] [out] main:1: error: Name "ignored" is not defined [name-defined] main:1: error: Name "y" is not defined [name-defined] main:2: error: Name "ignored" is not defined [name-defined] main:2: error: Name "y" is not defined [name-defined] [case testErrorCodeTypeIgnoreMisspelled2] x = y # type: int # type: ignored[foo] x = y # type: int # type: ignored [foo] [out] main:1: error: Syntax error in type comment "int" [syntax] main:2: error: Syntax error in type comment "int" [syntax] [case testErrorCode__exit__Return] class InvalidReturn: def __exit__(self, x, y, z) -> bool: # E: "bool" is invalid as return type for "__exit__" that always returns False [exit-return] \ # N: Use "typing.Literal[False]" as the return type or change it to "None" \ # N: If return type of "__exit__" implies that it may return True, the context manager may swallow exceptions return False [builtins fixtures/bool.pyi] [case testErrorCodeOverloadedOperatorMethod] from typing import Optional, overload class A: @overload def __add__(self, x: int) -> A: ... @overload def __add__(self, x: str) -> str: ... def __add__(self, x): pass class B: pass x: Optional[B] A() + x # type: ignore[operator] class C: @overload def __rsub__(self, x: int) -> A: ... @overload def __rsub__(self, x: str) -> str: ... def __rsub__(self, x): pass x - C() # type: ignore[operator] [case testErrorCodeMultiLineBinaryOperatorOperand] from typing import Optional class C: pass def f() -> Optional[C]: return None f( # type: ignore[operator] ) + C() [case testErrorCodeSpecialArgTypeErrors] from typing import TypedDict class C(TypedDict): x: int c: C c.setdefault('x', '1') # type: ignore[typeddict-item] class A: pass class B(A): def f(self) -> None: super(1, self).foo() # type: ignore[arg-type] def f(**x: int) -> None: pass f(**1) # type: ignore[arg-type] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRedundantExpressions] # flags: --enable-error-code redundant-expr def foo() -> bool: ... lst = [1, 2, 3, 4] b = False or foo() # E: Left operand of "or" is always false [redundant-expr] c = True and foo() # E: Left operand of "and" is always true [redundant-expr] g = 3 if True else 4 # E: If condition is always true [redundant-expr] h = 3 if False else 4 # E: If condition is always false [redundant-expr] i = [x for x in lst if True] # E: If condition in comprehension is always true [redundant-expr] j = [x for x in lst if False] # E: If condition in comprehension is always false [redundant-expr] k = [x for x in lst if isinstance(x, int) or foo()] # E: If condition in comprehension is always true [redundant-expr] [builtins fixtures/isinstancelist.pyi] [case testRedundantExprTruthiness] # flags: --enable-error-code redundant-expr from typing import List def maybe() -> bool: ... class Foo: def __init__(self, x: List[int]) -> None: self.x = x or [] def method(self) -> int: if not self.x or maybe(): return 1 return 2 [builtins fixtures/list.pyi] [case testNamedTupleNameMismatch] from typing import NamedTuple Foo = NamedTuple("Bar", []) # E: First argument to namedtuple() should be "Foo", not "Bar" [name-match] [builtins fixtures/tuple.pyi] [case testTypedDictNameMismatch] from typing import TypedDict Foo = TypedDict("Bar", {}) # E: First argument "Bar" to TypedDict() does not match variable name "Foo" [name-match] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTruthyBool] # flags: --enable-error-code truthy-bool --no-local-partial-types from typing import List, Union, Any class Foo: pass class Bar: pass foo = Foo() if foo: # E: "__main__.foo" has type "Foo" which does not implement __bool__ or __len__ so it could always be true in boolean context [truthy-bool] pass not foo # E: "__main__.foo" has type "Foo" which does not implement __bool__ or __len__ so it could always be true in boolean context [truthy-bool] zero = 0 if zero: pass not zero false = False if false: pass not false null = None if null: pass not null s = '' if s: pass not s good_union: Union[str, int] = 5 if good_union: pass if not good_union: pass not good_union bad_union: Union[Foo, Bar] = Foo() if bad_union: # E: "__main__.bad_union" has type "Union[Foo, Bar]" of which no members implement __bool__ or __len__ so it could always be true in boolean context [truthy-bool] pass if not bad_union: # E: "__main__.bad_union" has type "Union[Foo, Bar]" of which no members implement __bool__ or __len__ so it could always be true in boolean context [truthy-bool] pass not bad_union # E: "__main__.bad_union" has type "Union[Foo, Bar]" of which no members implement __bool__ or __len__ so it could always be true in boolean context [truthy-bool] # 'object' is special and is treated as potentially falsy obj: object = Foo() if obj: pass if not obj: pass not obj lst: List[int] = [] if lst: pass not lst a: Any if a: pass not a any_or_object: Union[object, Any] if any_or_object: pass not any_or_object if (my_foo := Foo()): # E: "__main__.my_foo" has type "Foo" which does not implement __bool__ or __len__ so it could always be true in boolean context [truthy-bool] pass if my_a := (a or Foo()): # E: "__main__.Foo" returns "Foo" which does not implement __bool__ or __len__ so it could always be true in boolean context [truthy-bool] pass [builtins fixtures/list.pyi] [case testTruthyFunctions] def f(): pass if f: # E: Function "f" could always be true in boolean context [truthy-function] pass if not f: # E: Function "f" could always be true in boolean context [truthy-function] pass conditional_result = 'foo' if f else 'bar' # E: Function "f" could always be true in boolean context [truthy-function] not f # E: Function "f" could always be true in boolean context [truthy-function] [case testTruthyIterable] # flags: --enable-error-code truthy-iterable from typing import Iterable def func(var: Iterable[str]) -> None: if var: # E: "var" has type "Iterable[str]" which can always be true in boolean context. Consider using "Collection[str]" instead. [truthy-iterable] ... not var # E: "var" has type "Iterable[str]" which can always be true in boolean context. Consider using "Collection[str]" instead. [truthy-iterable] [case testNoOverloadImplementation] from typing import overload @overload # E: An overloaded function outside a stub file must have an implementation [no-overload-impl] def f(arg: int) -> int: ... @overload def f(arg: str) -> str: ... [case testSliceInDictBuiltin] # flags: --show-column-numbers b: dict[int, x:y] c: dict[x:y] [builtins fixtures/dict.pyi] [out] main:2:14: error: Invalid type comment or annotation [valid-type] main:2:14: note: did you mean to use ',' instead of ':' ? main:3:4: error: "dict" expects 2 type arguments, but 1 given [type-arg] main:3:9: error: Invalid type comment or annotation [valid-type] main:3:9: note: did you mean to use ',' instead of ':' ? [case testSliceInDictTyping] # flags: --show-column-numbers from typing import Dict b: Dict[int, x:y] c: Dict[x:y] [builtins fixtures/dict.pyi] [out] main:3:14: error: Invalid type comment or annotation [valid-type] main:3:14: note: did you mean to use ',' instead of ':' ? main:4:4: error: "dict" expects 2 type arguments, but 1 given [type-arg] main:4:9: error: Invalid type comment or annotation [valid-type] main:4:9: note: did you mean to use ',' instead of ':' ? [case testSliceInCustomTensorType] # syntactically mimics torchtyping.TensorType class TensorType: ... t: TensorType["batch":..., float] # type: ignore reveal_type(t) # N: Revealed type is "__main__.TensorType" [builtins fixtures/tuple.pyi] [case testNoteAboutChangedTypedDictErrorCode] from typing import TypedDict class D(TypedDict): x: int def f(d: D, s: str) -> None: d[s] # type: ignore[xyz] \ # E: TypedDict key must be a string literal; expected one of ("x") [literal-required] \ # N: Error code "literal-required" not covered by "type: ignore" comment d[s] # E: TypedDict key must be a string literal; expected one of ("x") [literal-required] d[s] # type: ignore[misc] \ # E: TypedDict key must be a string literal; expected one of ("x") [literal-required] \ # N: Error code changed to literal-required; "type: ignore" comment may be out of date d[s] # type: ignore[literal-required] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecommendErrorCode] # type: ignore[whatever] # E: type ignore with error code is not supported for modules; use `# mypy: disable-error-code="whatever"` [syntax] \ # N: Error code "syntax" not covered by "type: ignore" comment 1 + "asdf" [case testRecommendErrorCode2] # type: ignore[whatever, other] # E: type ignore with error code is not supported for modules; use `# mypy: disable-error-code="whatever, other"` [syntax] \ # N: Error code "syntax" not covered by "type: ignore" comment 1 + "asdf" [case testShowErrorCodesInConfig] # flags: --config-file tmp/mypy.ini # Test 'show_error_codes = True' in config doesn't raise an exception var: int = "" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [assignment] [file mypy.ini] \[mypy] show_error_codes = True [case testErrorCodeUnsafeSuper_no_empty] from abc import abstractmethod class Base: @abstractmethod def meth(self) -> int: raise NotImplementedError() class Sub(Base): def meth(self) -> int: return super().meth() # E: Call to abstract method "meth" of "Base" with trivial body via super() is unsafe [safe-super] [builtins fixtures/exception.pyi] [case testDedicatedErrorCodeForEmpty_no_empty] from typing import Optional def foo() -> int: ... # E: Missing return statement [empty-body] def bar() -> None: ... # This is inconsistent with how --warn-no-return behaves in general # but we want to minimize fallout of finally handling empty bodies. def baz() -> Optional[int]: ... # OK [case testDedicatedErrorCodeTypeAbstract] import abc from typing import TypeVar, Type class C(abc.ABC): @abc.abstractmethod def foo(self) -> None: ... T = TypeVar("T") def test(tp: Type[T]) -> T: ... test(C) # E: Only concrete class can be given where "type[C]" is expected [type-abstract] class D(C): @abc.abstractmethod def bar(self) -> None: ... cls: Type[C] = D # E: Can only assign concrete classes to a variable of type "type[C]" [type-abstract] [case testUncheckedAnnotationCodeShown] def f(): x: int = "no" # N: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [annotation-unchecked] [case testUncheckedAnnotationSuppressed] # flags: --disable-error-code=annotation-unchecked def f(): x: int = "no" # No warning here [case testMethodAssignmentSuppressed] # flags: --disable-error-code=method-assign class A: def f(self) -> None: pass def g(self) -> None: pass def h(self: A) -> None: pass A.f = h # This actually works at runtime, but there is no way to express this in current type system A.f = A().g # E: Incompatible types in assignment (expression has type "Callable[[], None]", variable has type "Callable[[A], None]") [assignment] [case testMethodAssignCoveredByAssignmentIgnore] class A: def f(self) -> None: pass def h(self: A) -> None: pass A.f = h # type: ignore[assignment] [case testMethodAssignCoveredByAssignmentFlag] # flags: --disable-error-code=assignment class A: def f(self) -> None: pass def h(self: A) -> None: pass A.f = h # OK [case testMethodAssignCoveredByAssignmentUnused] # flags: --warn-unused-ignores class A: def f(self) -> None: pass def h(self: A) -> None: pass A.f = h # type: ignore[assignment] # E: Unused "type: ignore" comment, use narrower [method-assign] instead of [assignment] code [unused-ignore] [case testUnusedIgnoreEnableCode] # flags: --enable-error-code=unused-ignore x = 1 # type: ignore # E: Unused "type: ignore" comment [unused-ignore] [case testErrorCodeUnsafeOverloadError] from typing import overload, Union @overload def unsafe_func(x: int) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types [overload-overlap] @overload def unsafe_func(x: object) -> str: ... def unsafe_func(x: object) -> Union[int, str]: if isinstance(x, int): return 42 else: return "some string" [builtins fixtures/isinstancelist.pyi] ### # unimported-reveal ### [case testUnimportedRevealType] # flags: --enable-error-code=unimported-reveal x = 1 reveal_type(x) [out] main:3: error: Name "reveal_type" is not defined [unimported-reveal] main:3: note: Did you forget to import it from "typing_extensions"? (Suggestion: "from typing_extensions import reveal_type") main:3: note: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [case testUnimportedRevealTypePy311] # flags: --enable-error-code=unimported-reveal --python-version=3.11 x = 1 reveal_type(x) [out] main:3: error: Name "reveal_type" is not defined [unimported-reveal] main:3: note: Did you forget to import it from "typing"? (Suggestion: "from typing import reveal_type") main:3: note: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [case testUnimportedRevealTypeInUncheckedFunc] # flags: --enable-error-code=unimported-reveal def unchecked(): x = 1 reveal_type(x) [out] main:4: error: Name "reveal_type" is not defined [unimported-reveal] main:4: note: Did you forget to import it from "typing_extensions"? (Suggestion: "from typing_extensions import reveal_type") main:4: note: Revealed type is "Any" main:4: note: 'reveal_type' always outputs 'Any' in unchecked functions [builtins fixtures/isinstancelist.pyi] [case testUnimportedRevealTypeImportedTypingExtensions] # flags: --enable-error-code=unimported-reveal from typing_extensions import reveal_type x = 1 reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [case testUnimportedRevealTypeImportedTyping311] # flags: --enable-error-code=unimported-reveal --python-version=3.11 from typing import reveal_type x = 1 reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-full.pyi] [case testUnimportedRevealLocals] # flags: --enable-error-code=unimported-reveal x = 1 reveal_locals() [out] main:3: note: Revealed local types are: main:3: note: x: builtins.int main:3: error: Name "reveal_locals" is not defined [unimported-reveal] [builtins fixtures/isinstancelist.pyi] [case testCovariantMutableOverride] # flags: --enable-error-code=mutable-override from typing import Any class C: x: float y: float z: float w: Any @property def foo(self) -> float: ... @property def bar(self) -> float: ... @bar.setter def bar(self, val: float) -> None: ... baz: float bad1: float bad2: float class D(C): x: int # E: Covariant override of a mutable attribute (base class "C" defined the type as "float", expression has type "int") [mutable-override] y: float z: Any w: float foo: int bar: int # E: Covariant override of a mutable attribute (base class "C" defined the type as "float", expression has type "int") [mutable-override] def one(self) -> None: self.baz = 5 bad1 = 5 # E: Covariant override of a mutable attribute (base class "C" defined the type as "float", expression has type "int") [mutable-override] def other(self) -> None: self.bad2: int = 5 # E: Covariant override of a mutable attribute (base class "C" defined the type as "float", expression has type "int") [mutable-override] [builtins fixtures/property.pyi] [case testNarrowedTypeNotSubtype] from typing_extensions import TypeIs def f(x: str) -> TypeIs[int]: # E: Narrowed type "int" is not a subtype of input type "str" [narrowed-type-not-subtype] pass [builtins fixtures/tuple.pyi] [case testDynamicMetaclass] class A(metaclass=type(tuple)): pass # E: Dynamic metaclass not supported for "A" [metaclass] [builtins fixtures/tuple.pyi] [case testMetaclassOfTypeAny] # mypy: disallow-subclassing-any=True from typing import Any foo: Any = ... class A(metaclass=foo): pass # E: Class cannot use "foo" as a metaclass (has type "Any") [metaclass] [case testMetaclassOfWrongType] class Foo: bar = 1 class A2(metaclass=Foo.bar): pass # E: Invalid metaclass "Foo.bar" [metaclass] [case testMetaclassNotTypeSubclass] class M: pass class A(metaclass=M): pass # E: Metaclasses not inheriting from "type" are not supported [metaclass] [case testMultipleMetaclasses] import six class M1(type): pass @six.add_metaclass(M1) class A1(metaclass=M1): pass # E: Multiple metaclass definitions [metaclass] class A2(six.with_metaclass(M1), metaclass=M1): pass # E: Multiple metaclass definitions [metaclass] @six.add_metaclass(M1) class A3(six.with_metaclass(M1)): pass # E: Multiple metaclass definitions [metaclass] [builtins fixtures/tuple.pyi] [case testInvalidMetaclassStructure] class X(type): pass class Y(type): pass class A(metaclass=X): pass class B(A, metaclass=Y): pass # E: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases [metaclass] \ # N: "__main__.Y" (metaclass of "__main__.B") conflicts with "__main__.X" (metaclass of "__main__.A") [case testOverloadedFunctionSignature] from typing import overload, Union @overload def process(response1: float,response2: float) -> float: ... @overload def process(response1: int,response2: int) -> int: # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader [overload-cannot-match] ... def process(response1,response2)-> Union[float,int]: return response1 + response2 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-expressions.test0000644000175100017510000017426015112307767021474 0ustar00runnerrunner-- Test cases for simple expressions. -- -- See also: -- * check-functions.test contains test cases for calls. -- * check-varargs.test contains test cases for *args. -- * check-dynamic.test contains test cases related to 'Any' type. -- * check-generics.test contains test cases for generic values. -- None expression -- --------------- [case testNoneAsRvalue] import typing a: A class A: pass [out] [case testNoneAsArgument] # flags: --no-strict-optional import typing def f(x: 'A', y: 'B') -> None: pass f(None, None) class A: pass class B(A): pass [out] -- Simple expressions -- ------------------ [case testIntLiteral] a = 0 b: A if int(): b = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "A") if int(): a = 1 class A: pass [case testStrLiteral] a = '' b: A if int(): b = 'x' # E: Incompatible types in assignment (expression has type "str", variable has type "A") if int(): a = 'x' if int(): a = r"x" if int(): a = """foo""" class A: pass [case testFloatLiteral] a = 0.0 b: A if str(): b = 1.1 # E: Incompatible types in assignment (expression has type "float", variable has type "A") if str(): a = 1.1 class A: pass [builtins fixtures/dict.pyi] [case testComplexLiteral] a = 0.0j b: A if str(): b = 1.1j # E: Incompatible types in assignment (expression has type "complex", variable has type "A") if str(): a = 1.1j class A: pass [builtins fixtures/dict.pyi] [case testBytesLiteral] b: bytes a: A if str(): b = b'foo' if str(): b = br"foo" if str(): b = b'''foo''' if str(): a = b'foo' # E: Incompatible types in assignment (expression has type "bytes", variable has type "A") class A: pass [builtins fixtures/dict.pyi] [case testUnicodeLiteralInPython3] s: str if int(): s = u'foo' b: bytes if int(): b = u'foo' # E: Incompatible types in assignment (expression has type "str", variable has type "bytes") [builtins fixtures/primitives.pyi] -- Binary operators -- ---------------- [case testAdd] a: A b: B c: C if int(): c = a + c # E: Unsupported operand types for + ("A" and "C") if int(): a = a + b # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b + a # E: Unsupported left operand type for + ("B") if int(): c = a + b class A: def __add__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testSub] a: A b: B c: C if int(): c = a - c # E: Unsupported operand types for - ("A" and "C") if int(): a = a - b # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b - a # E: Unsupported left operand type for - ("B") if int(): c = a - b class A: def __sub__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testMul] a: A b: B c: C if int(): c = a * c # E: Unsupported operand types for * ("A" and "C") if int(): a = a * b # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b * a # E: Unsupported left operand type for * ("B") if int(): c = a * b class A: def __mul__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testMatMul] a: A b: B c: C if int(): c = a @ c # E: Unsupported operand types for @ ("A" and "C") if int(): a = a @ b # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b @ a # E: Unsupported left operand type for @ ("B") if int(): c = a @ b class A: def __matmul__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testDiv] a: A b: B c: C if int(): c = a / c # E: Unsupported operand types for / ("A" and "C") a = a / b # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b / a # E: Unsupported left operand type for / ("B") if int(): c = a / b class A: def __truediv__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testIntDiv] a: A b: B c: C if int(): c = a // c # E: Unsupported operand types for // ("A" and "C") a = a // b # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b // a # E: Unsupported left operand type for // ("B") if int(): c = a // b class A: def __floordiv__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testMod] a: A b: B c: C if int(): c = a % c # E: Unsupported operand types for % ("A" and "C") if int(): a = a % b # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b % a # E: Unsupported left operand type for % ("B") if int(): c = a % b class A: def __mod__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testPow] a: A b: B c: C if int(): c = a ** c # E: Unsupported operand types for ** ("A" and "C") if int(): a = a ** b # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b ** a # E: Unsupported left operand type for ** ("B") if int(): c = a ** b class A: def __pow__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testMiscBinaryOperators] a: A b: B b = a & a # Fail b = a | b # Fail b = a ^ a # Fail b = a << b # Fail b = a >> a # Fail b = a & b b = a | a b = a ^ b b = a << a b = a >> b class A: def __and__(self, x: 'B') -> 'B': pass def __or__(self, x: 'A') -> 'B': pass def __xor__(self, x: 'B') -> 'B': pass def __lshift__(self, x: 'A') -> 'B': pass def __rshift__(self, x: 'B') -> 'B': pass class B: pass [builtins fixtures/tuple.pyi] [out] main:3: error: Unsupported operand types for & ("A" and "A") main:4: error: Unsupported operand types for | ("A" and "B") main:5: error: Unsupported operand types for ^ ("A" and "A") main:6: error: Unsupported operand types for << ("A" and "B") main:7: error: Unsupported operand types for >> ("A" and "A") [case testBooleanAndOr] a: A b: bool if int(): b = b and b if int(): b = b or b if int(): b = b and a # E: Incompatible types in assignment (expression has type "Union[Literal[False], A]", variable has type "bool") if int(): b = a and b # E: Incompatible types in assignment (expression has type "Union[A, bool]", variable has type "bool") if int(): b = b or a # E: Incompatible types in assignment (expression has type "Union[Literal[True], A]", variable has type "bool") if int(): b = a or b # E: Incompatible types in assignment (expression has type "Union[A, bool]", variable has type "bool") class A: pass [builtins fixtures/bool.pyi] [case testRestrictedTypeAnd] b: bool i: str j = not b and i if j: reveal_type(j) # N: Revealed type is "builtins.str" [builtins fixtures/bool.pyi] [case testRestrictedTypeOr] b: bool i: str j = b or i if not j: reveal_type(j) # N: Revealed type is "Literal['']" [builtins fixtures/bool.pyi] [case testAndOr] s = "" b = bool() reveal_type(s and b or b) # N: Revealed type is "builtins.bool" [builtins fixtures/bool.pyi] [case testRestrictedBoolAndOrWithGenerics] from typing import List def f(a: List[str], b: bool) -> bool: x = a and b y: bool return reveal_type(x or y) # N: Revealed type is "builtins.bool" [builtins fixtures/list.pyi] [case testNonBooleanOr] c: C d: D b: bool if int(): c = c or c if int(): c = c or d if int(): c = d or c if int(): b = c or c # E: Incompatible types in assignment (expression has type "C", variable has type "bool") if int(): d = c or d # E: Incompatible types in assignment (expression has type "C", variable has type "D") if int(): d = d or c # E: Incompatible types in assignment (expression has type "C", variable has type "D") class C: pass class D(C): pass [builtins fixtures/bool.pyi] [case testInOperator] from typing import Iterator, Iterable, Any a: A b: B c: bool d: D e: Any if int(): c = c in a # E: Unsupported operand types for in ("bool" and "A") if int(): a = b in a # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): c = a in b # E: Unsupported right operand type for in ("B") if int(): c = b in d # E: Unsupported operand types for in ("B" and "D") if int(): c = b in a if int(): c = a in d if int(): c = e in d if int(): c = a in e class A: def __contains__(self, x: 'B') -> bool: pass class B: pass class D(Iterable[A]): def __iter__(self) -> Iterator[A]: pass [builtins fixtures/bool.pyi] [case testNotInOperator] from typing import Iterator, Iterable, Any a: A b: B c: bool d: D e: Any if int(): c = c not in a # E: Unsupported operand types for in ("bool" and "A") if int(): a = b not in a # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): c = a not in b # E: Unsupported right operand type for in ("B") if int(): c = b not in d # E: Unsupported operand types for in ("B" and "D") if int(): c = b not in a if int(): c = a not in d if int(): c = e in d if int(): c = a in e class A: def __contains__(self, x: 'B') -> bool: pass class B: pass class D(Iterable[A]): def __iter__(self) -> Iterator[A]: pass [builtins fixtures/bool.pyi] [case testNonBooleanContainsReturnValue] a: A b: bool c: str if int(): b = a not in a if int(): b = a in a if int(): c = a not in a # E: Incompatible types in assignment (expression has type "bool", variable has type "str") if int(): c = a in a # E: Incompatible types in assignment (expression has type "bool", variable has type "str") class A: def __contains__(self, x: 'A') -> str: pass [builtins fixtures/bool.pyi] [case testInWithInvalidArgs] a = 1 in ([1] + ['x']) # E: List item 0 has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testEq] a: A b: bool if int(): a = a == b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): a = a != b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): b = a == b if int(): b = a != b class A: def __eq__(self, o: object) -> bool: pass def __ne__(self, o: object) -> bool: pass [builtins fixtures/bool.pyi] [case testLtAndGt] a: A b: B bo: bool if int(): a = a < b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): a = a > b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): bo = a < b if int(): bo = a > b class A: def __lt__(self, o: 'B') -> bool: pass def __gt__(self, o: 'B') -> bool: pass class B: def __lt__(self, o: 'B') -> bool: pass def __gt__(self, o: 'B') -> bool: pass [builtins fixtures/bool.pyi] [case cmpIgnoredPy3] a: A b: B bo: bool bo = a <= b # E: Unsupported left operand type for <= ("A") class A: def __cmp__(self, o: 'B') -> bool: pass class B: pass [builtins fixtures/bool.pyi] [case testLeAndGe] a: A b: B bo: bool if int(): a = a <= b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): a = a >= b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): bo = a <= b if int(): bo = a >= b class A: def __le__(self, o: 'B') -> bool: pass def __ge__(self, o: 'B') -> bool: pass class B: def __le__(self, o: 'B') -> bool: pass def __ge__(self, o: 'B') -> bool: pass [builtins fixtures/bool.pyi] [case testChainedComp] a: A b: B bo: bool a < a < b < b # Fail a < b < b < b a < a > a < b # Fail class A: def __lt__(self, o: 'B') -> bool: pass def __gt__(self, o: 'B') -> bool: pass class B: def __lt__(self, o: 'B') -> bool: pass def __gt__(self, o: 'B') -> bool: pass [builtins fixtures/bool.pyi] [out] main:4: error: Unsupported operand types for < ("A" and "A") main:6: error: Unsupported operand types for < ("A" and "A") main:6: error: Unsupported operand types for > ("A" and "A") [case testChainedCompBoolRes] a: A b: B bo: bool if int(): bo = a < b < b if int(): a = a < b < b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") class A: def __lt__(self, o: 'B') -> bool: pass def __gt__(self, o: 'B') -> bool: pass class B: def __lt__(self, o: 'B') -> bool: pass def __gt__(self, o: 'B') -> bool: pass [builtins fixtures/bool.pyi] [case testChainedCompResTyp] x: X y: Y a: A b: B p: P bo: bool if int(): b = y == y == y if int(): bo = y == y == y # E: Incompatible types in assignment (expression has type "B", variable has type "bool") if int(): a = x < y if int(): a = x < y == y # E: Incompatible types in assignment (expression has type "P", variable has type "A") if int(): p = x < y == y class P: pass class A(P): pass class B(P): pass class X: def __lt__(self, o: 'Y') -> A: pass def __gt__(self, o: 'Y') -> A: pass class Y: def __lt__(self, o: 'Y') -> A: pass def __gt__(self, o: 'Y') -> A: pass def __eq__(self, o: 'Y') -> B: pass # type: ignore [builtins fixtures/bool.pyi] [case testIs] a: A b: bool if int(): a = a is b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): b = a is b if int(): b = b is a if int(): b = a is None class A: pass [builtins fixtures/bool.pyi] [case testIsNot] a: A b: bool if int(): a = a is not b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): b = a is not b if int(): b = b is not a if int(): b = a is not None class A: pass [builtins fixtures/bool.pyi] [case testIsRightOperand] 1 is 1() [builtins fixtures/bool.pyi] [out] main:2: error: "int" not callable [case testReverseBinaryOperator] class A: def __add__(self, x: int) -> int: pass class B: def __radd__(self, x: A) -> str: pass s: str n: int if int(): n = A() + 1 if int(): s = A() + B() if int(): n = A() + B() # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testReverseBinaryOperator2] class A: def __add__(self, x: 'A') -> object: pass class B: def __radd__(self, x: A) -> str: pass s: str n: int if int(): s = A() + B() n = A() + B() # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testReverseBinaryOperator3] class N: def __add__(self, x: 'N') -> object: pass class A: def __add__(self, x: N) -> int: pass class B: def __radd__(self, x: N) -> str: pass s: str s = A() + B() # E: Unsupported operand types for + ("A" and "B") [case testBinaryOperatorWithAnyRightOperand] from typing import Any, cast class A: pass A() + cast(Any, 1) [case testReverseComparisonOperator] class C: def __gt__(self, x: 'A') -> object: pass class A: def __lt__(self, x: C) -> int: pass # E: Signatures of "__lt__" of "A" and "__gt__" of "C" are unsafely overlapping class B: def __gt__(self, x: A) -> str: pass s: str n: int if int(): n = A() < C() s = A() < B() if int(): n = A() < B() # E: Incompatible types in assignment (expression has type "str", variable has type "int") s = object() < B() # E: Unsupported operand types for > ("B" and "object") [case testReversibleComparisonWithExtraArgument] class C: def __lt__(self, o: object, x: str = "") -> int: ... [case testErrorContextAndBinaryOperators] import typing class A: def __getitem__(self, i: str) -> int: pass def f() -> None: A()[1] # Error class B: A()[1] # Error A()[1] # Error [out] main:5: error: Invalid index type "int" for "A"; expected type "str" main:7: error: Invalid index type "int" for "A"; expected type "str" main:8: error: Invalid index type "int" for "A"; expected type "str" [case testErrorContextAndBinaryOperators2] import m [file m.py] import typing class A: def __getitem__(self, i: str) -> int: pass def f() -> None: A()[1] # Error class B: A()[1] # Error A()[1] # Error [out] tmp/m.py:5: error: Invalid index type "int" for "A"; expected type "str" tmp/m.py:7: error: Invalid index type "int" for "A"; expected type "str" tmp/m.py:8: error: Invalid index type "int" for "A"; expected type "str" [case testDivmod] # flags: --disable-error-code=used-before-def from typing import Tuple, Union, SupportsInt _Decimal = Union[Decimal, int] class Decimal(SupportsInt): def __init__(self, int) -> None: ... def __divmod__(self, other: _Decimal) -> Tuple[Decimal, Decimal]: ... def __rdivmod__(self, other: _Decimal) -> Tuple[Decimal, Decimal]: ... i = 8 f = 8.0 d = Decimal(8) reveal_type(divmod(i, i)) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(divmod(f, i)) # N: Revealed type is "tuple[builtins.float, builtins.float]" reveal_type(divmod(d, i)) # N: Revealed type is "tuple[__main__.Decimal, __main__.Decimal]" reveal_type(divmod(i, f)) # N: Revealed type is "tuple[builtins.float, builtins.float]" reveal_type(divmod(f, f)) # N: Revealed type is "tuple[builtins.float, builtins.float]" divmod(d, f) # E: Unsupported operand types for divmod ("Decimal" and "float") reveal_type(divmod(i, d)) # N: Revealed type is "tuple[__main__.Decimal, __main__.Decimal]" divmod(f, d) # E: Unsupported operand types for divmod ("float" and "Decimal") reveal_type(divmod(d, d)) # N: Revealed type is "tuple[__main__.Decimal, __main__.Decimal]" # Now some bad calls divmod() # E: "divmod" expects 2 arguments \ # E: Missing positional arguments "_x", "_y" in call to "divmod" divmod(7) # E: "divmod" expects 2 arguments \ # E: Missing positional argument "_y" in call to "divmod" divmod(7, 8, 9) # E: "divmod" expects 2 arguments \ # E: Too many arguments for "divmod" divmod(_x=7, _y=9) # E: "divmod" must be called with 2 positional arguments divmod('foo', 'foo') # E: Unsupported left operand type for divmod ("str") divmod(i, 'foo') # E: Unsupported operand types for divmod ("int" and "str") divmod(f, 'foo') # E: Unsupported operand types for divmod ("float" and "str") divmod(d, 'foo') # E: Unsupported operand types for divmod ("Decimal" and "str") divmod('foo', i) # E: Unsupported operand types for divmod ("str" and "int") divmod('foo', f) # E: Unsupported operand types for divmod ("str" and "float") divmod('foo', d) # E: Unsupported operand types for divmod ("str" and "Decimal") [builtins fixtures/divmod.pyi] [typing fixtures/typing-medium.pyi] -- Unary operators -- --------------- [case testUnaryMinus] a: A b: B if int(): a = -a # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = -b # E: Unsupported operand type for unary - ("B") if int(): b = -a class A: def __neg__(self) -> 'B': pass class B: pass [builtins fixtures/tuple.pyi] [case testUnaryPlus] a: A b: B if int(): a = +a # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = +b # E: Unsupported operand type for unary + ("B") if int(): b = +a class A: def __pos__(self) -> 'B': pass class B: pass [builtins fixtures/tuple.pyi] [case testUnaryNot] a: A b: bool if int(): a = not b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if int(): b = not a if int(): b = not b class A: pass [builtins fixtures/bool.pyi] [case testUnaryBitwiseNeg] a: A b: B if int(): a = ~a # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = ~b # E: Unsupported operand type for ~ ("B") if int(): b = ~a class A: def __invert__(self) -> 'B': pass class B: pass -- Indexing -- -------- [builtins fixtures/tuple.pyi] [case testIndexing] a: A b: B c: C if int(): c = a[c] # E: Invalid index type "C" for "A"; expected type "B" if int(): a = a[b] # E: Incompatible types in assignment (expression has type "C", variable has type "A") if int(): c = b[a] # E: Value of type "B" is not indexable if int(): c = a[b] class A: def __getitem__(self, x: 'B') -> 'C': pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testIndexingAsLvalue] a: A b: B c: C a[c] = c # Fail a[b] = a # Fail b[a] = c # Fail a[b] = c class A: def __setitem__(self, x: 'B', y: 'C') -> None: pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [out] main:4: error: Invalid index type "C" for "A"; expected type "B" main:5: error: Incompatible types in assignment (expression has type "A", target has type "C") main:6: error: Unsupported target for indexed assignment ("B") [case testOverloadedIndexing] from foo import * [file foo.pyi] from typing import overload a: A b: B c: C a[b] a[c] a[1] # E: No overload variant of "__getitem__" of "A" matches argument type "int" \ # N: Possible overload variants: \ # N: def __getitem__(self, B, /) -> int \ # N: def __getitem__(self, C, /) -> str i: int s: str if int(): i = a[b] if int(): s = a[b] # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): i = a[c] # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): s = a[c] class A: @overload def __getitem__(self, x: 'B') -> int: pass @overload def __getitem__(self, x: 'C') -> str: pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [out] -- Cast expression -- --------------- [case testCastExpressions] from typing import cast, Any class A: pass class B: pass class C(A): pass a: A b: B c: C if int(): a = cast(A, a()) # E: "A" not callable if int(): a = cast(Any, a()) # E: "A" not callable b = cast(A, a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = cast(A, b) if int(): a = cast(A, a) c = cast(C, a) if int(): a = cast(A, c) if int(): a = cast(Any, b) b = cast(Any, a) [builtins fixtures/tuple.pyi] [out] [case testAnyCast] from typing import cast, Any a: A b: B a = cast(Any, a()) # Fail a = cast(Any, b) b = cast(Any, a) class A: pass class B: pass [builtins fixtures/tuple.pyi] [out] main:4: error: "A" not callable -- assert_type() [case testAssertType] from typing import assert_type, Any, Literal a: int = 1 returned = assert_type(a, int) reveal_type(returned) # N: Revealed type is "builtins.int" assert_type(a, str) # E: Expression is of type "int", not "str" assert_type(a, Any) # E: Expression is of type "int", not "Any" assert_type(a, Literal[1]) # E: Expression is of type "int", not "Literal[1]" assert_type(42, Literal[42]) assert_type(42, int) # E: Expression is of type "Literal[42]", not "int" [builtins fixtures/tuple.pyi] [case testAssertTypeGeneric] from typing import assert_type, Literal, TypeVar, Generic T = TypeVar("T") def f(x: T) -> T: return x assert_type(f(1), int) class Gen(Generic[T]): def __new__(cls, obj: T) -> Gen[T]: ... assert_type(Gen(1), Gen[int]) # With type context, it infers Gen[Literal[1]] instead. y: Gen[Literal[1]] = assert_type(Gen(1), Gen[Literal[1]]) [builtins fixtures/tuple.pyi] [case testAssertTypeUncheckedFunction] from typing import Literal, assert_type def f(): x = 42 assert_type(x, Literal[42]) [out] main:4: error: Expression is of type "Any", not "Literal[42]" main:4: note: "assert_type" expects everything to be "Any" in unchecked functions [builtins fixtures/tuple.pyi] [case testAssertTypeUncheckedFunctionWithUntypedCheck] # flags: --check-untyped-defs from typing import Literal, assert_type def f(): x = 42 assert_type(x, Literal[42]) [out] main:5: error: Expression is of type "int", not "Literal[42]" [builtins fixtures/tuple.pyi] [case testAssertTypeNoPromoteUnion] from typing import Union, assert_type Scalar = Union[int, bool, bytes, bytearray] def reduce_it(s: Scalar) -> Scalar: return s assert_type(reduce_it(True), Scalar) [builtins fixtures/tuple.pyi] [case testAssertTypeWithDeferredNodes] from typing import Callable, TypeVar, assert_type T = TypeVar("T") def dec(f: Callable[[], T]) -> Callable[[], T]: return f def func() -> None: some = _inner_func() assert_type(some, int) @dec def _inner_func() -> int: return 1 [builtins fixtures/tuple.pyi] -- None return type -- ---------------- [case testNoneReturnTypeBasics] def f() -> None: pass class A: def g(self, x: object) -> None: pass def __call__(self) -> None: pass a: A o: object if int(): a = f() # E: "f" does not return a value (it only ever returns None) if int(): o = a() # E: Function does not return a value (it only ever returns None) if int(): o = A().g(a) # E: "g" of "A" does not return a value (it only ever returns None) if int(): o = A.g(a, a) # E: "g" of "A" does not return a value (it only ever returns None) A().g(f()) # E: "f" does not return a value (it only ever returns None) x: A = f() # E: "f" does not return a value (it only ever returns None) f() A().g(a) [builtins fixtures/tuple.pyi] [case testNoneReturnTypeWithStatements] import typing def f() -> None: pass if f(): # E: "f" does not return a value (it only ever returns None) pass elif f(): # E: "f" does not return a value (it only ever returns None) pass while f(): # E: "f" does not return a value (it only ever returns None) pass def g() -> object: return f() # E: "f" does not return a value (it only ever returns None) raise f() # E: "f" does not return a value (it only ever returns None) [builtins fixtures/exception.pyi] [case testNoneReturnTypeWithExpressions] from typing import cast def f() -> None: pass class A: def __add__(self, x: 'A') -> 'A': pass a: A [f()] # E: "f" does not return a value (it only ever returns None) f() + a # E: "f" does not return a value (it only ever returns None) a + f() # E: "f" does not return a value (it only ever returns None) f() == a # E: "f" does not return a value (it only ever returns None) a != f() # E: "f" does not return a value (it only ever returns None) cast(A, f()) f().foo # E: "f" does not return a value (it only ever returns None) [builtins fixtures/list.pyi] [case testNoneReturnTypeWithExpressions2] import typing def f() -> None: pass class A: def __add__(self, x: 'A') -> 'A': pass a: A b: bool f() in a # E: "f" does not return a value (it only ever returns None) # E: Unsupported right operand type for in ("A") a < f() # E: "f" does not return a value (it only ever returns None) f() <= a # E: "f" does not return a value (it only ever returns None) a in f() # E: "f" does not return a value (it only ever returns None) -f() # E: "f" does not return a value (it only ever returns None) not f() # E: "f" does not return a value (it only ever returns None) f() and b # E: "f" does not return a value (it only ever returns None) b or f() # E: "f" does not return a value (it only ever returns None) [builtins fixtures/bool.pyi] -- Slicing -- ------- [case testGetSlice] a: A b: B if int(): a = a[1:2] # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = a[1:] # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = a[:2] # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = a[:] # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = a[1:2] if int(): b = a[1:] if int(): b = a[:2] if int(): b = a[:] class A: def __getitem__(self, s: slice) -> 'B': pass class B: pass [builtins fixtures/slice.pyi] [case testSlicingWithInvalidBase] a: A a[1:2] # E: Invalid index type "slice[int, int, None]" for "A"; expected type "int" a[:] # E: Invalid index type "slice[None, None, None]" for "A"; expected type "int" class A: def __getitem__(self, n: int) -> 'A': pass [builtins fixtures/slice.pyi] [case testSlicingWithNonindexable] o: object o[1:2] # E: Value of type "object" is not indexable o[:] # E: Value of type "object" is not indexable [builtins fixtures/slice.pyi] [case testNonIntSliceBounds] from typing import Any a: Any o: object a[o:1] # E: Slice index must be an integer, SupportsIndex or None a[1:o] # E: Slice index must be an integer, SupportsIndex or None a[o:] # E: Slice index must be an integer, SupportsIndex or None a[:o] # E: Slice index must be an integer, SupportsIndex or None [builtins fixtures/slice.pyi] [case testSliceSupportsIndex] import typing_extensions class Index: def __init__(self, value: int) -> None: self.value = value def __index__(self) -> int: return self.value c = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] reveal_type(c[Index(0):Index(5)]) # N: Revealed type is "builtins.list[builtins.int]" [file typing_extensions.pyi] from typing import Protocol class SupportsIndex(Protocol): def __index__(self) -> int: ... [builtins fixtures/slice.pyi] [case testNoneSliceBounds] from typing import Any a: Any a[None:1] a[1:None] a[None:] a[:None] [builtins fixtures/slice.pyi] [case testNoneSliceBoundsWithStrictOptional] from typing import Any a: Any a[None:1] a[1:None] a[None:] a[:None] [builtins fixtures/slice.pyi] -- Lambdas -- ------- [case testTrivialLambda] from typing import Callable f = lambda: 1 # type: Callable[[], int] if int(): f = lambda: ''.x # E: "str" has no attribute "x" if int(): f = lambda: '' \ # E: Incompatible types in assignment (expression has type "Callable[[], str]", variable has type "Callable[[], int]") \ # E: Incompatible return value type (got "str", expected "int") [case testVoidLambda] import typing def void() -> None: pass x = lambda: void() # type: typing.Callable[[], None] [case testNoCrashOnLambdaGenerator] # flags: --no-strict-optional from typing import Iterator, Callable # These should not crash lambda: (yield) gen: Callable[[], Iterator[str]] gen = (lambda: (yield 1)) # E: Incompatible types in "yield" (actual type "int", expected type "str") def fun(cb: Callable[[], Iterator[str]]) -> None: pass fun(lambda: (yield from [1])) # E: Incompatible types in "yield from" (actual type "int", expected type "str") [builtins fixtures/list.pyi] [out] [case testLambdaAndReachability] def f() -> None: aa = [] y = lambda x: 1 aa.append(1) 1() # E: "int" not callable [builtins fixtures/list.pyi] -- List comprehensions -- ------------------- [case testSimpleListComprehension] from typing import List a: List[A] a = [x for x in a] b = [x for x in a] # type: List[B] # E: List comprehension has incompatible type List[A]; expected List[B] class A: pass class B: pass [builtins fixtures/for.pyi] [case testSimpleListComprehensionNestedTuples] from typing import List, Tuple l: List[Tuple[A, Tuple[A, B]]] a = [a2 for a1, (a2, b1) in l] # type: List[A] b = [a2 for a1, (a2, b1) in l] # type: List[B] # E: List comprehension has incompatible type List[A]; expected List[B] class A: pass class B: pass [builtins fixtures/for.pyi] [case testSimpleListComprehensionNestedTuples2] from typing import List, Tuple l: List[Tuple[int, Tuple[int, str]]] a = [f(d) for d, (i, s) in l] b = [f(s) for d, (i, s) in l] # E: Argument 1 to "f" has incompatible type "str"; expected "int" def f(x: int): pass [builtins fixtures/for.pyi] [case testListComprehensionWithNonDirectMapping] from typing import List a: List[A] b: List[B] if int(): b = [f(x) for x in a] if int(): a = [f(x) for x in a] # E: List comprehension has incompatible type List[B]; expected List[A] ([f(x) for x in b]) # E: Argument 1 to "f" has incompatible type "B"; expected "A" class A: pass class B: pass def f(a: A) -> B: pass [builtins fixtures/for.pyi] [case testErrorInListComprehensionCondition] from typing import List a: List[A] a = [x for x in a if x()] # E: "A" not callable class A: pass [builtins fixtures/for.pyi] [case testTypeInferenceOfListComprehension] from typing import List a: List[A] o = [x for x in a] # type: List[object] class A: pass [builtins fixtures/for.pyi] [case testSimpleListComprehensionInClassBody] from typing import List class A: a: List[A] a = [x for x in a] b = [x for x in a] # type: List[B] # E: List comprehension has incompatible type List[A]; expected List[B] class B: pass [builtins fixtures/for.pyi] [out] -- Set comprehension -- ----------------- [case testSimpleSetComprehension] from typing import Set a: Set[A] a = {x for x in a} b = {x for x in a} # type: Set[B] # E: Set comprehension has incompatible type Set[A]; expected Set[B] class A: pass class B: pass [builtins fixtures/set.pyi] -- Dictionary comprehension -- ------------------------ [case testSimpleDictionaryComprehension] from typing import Dict, List, Tuple abd: Dict[A, B] abl: List[Tuple[A, B]] abd = {a: b for a, b in abl} x = {a: b for a, b in abl} # type: Dict[B, A] y = {a: b for a, b in abl} # type: A class A: pass class B: pass [builtins fixtures/dict.pyi] [out] main:5: error: Key expression in dictionary comprehension has incompatible type "A"; expected type "B" main:5: error: Value expression in dictionary comprehension has incompatible type "B"; expected type "A" main:6: error: Incompatible types in assignment (expression has type "dict[A, B]", variable has type "A") [case testDictionaryComprehensionWithNonDirectMapping] from typing import Dict, List, Tuple abd: Dict[A, B] abl: List[Tuple[A, B]] abd = {a: f(b) for a, b in abl} class A: pass class B: pass class C: pass def f(b: A) -> C: pass [builtins fixtures/dict.pyi] [out] main:4: error: Value expression in dictionary comprehension has incompatible type "C"; expected type "B" main:4: error: Argument 1 to "f" has incompatible type "B"; expected "A" -- Generator expressions -- --------------------- [case testSimpleGeneratorExpression] from typing import Iterator # The implementation is mostly identical to list comprehensions, so only a few # test cases is ok. a: Iterator[int] if int(): a = (x for x in a) b: Iterator[str] if int(): b = (x for x in a) # E: Generator has incompatible item type "int"; expected "str" [builtins fixtures/for.pyi] [case testGeneratorIncompatibleErrorMessage] from typing import Callable, Iterator, List a = [] # type: List[Callable[[], str]] b: Iterator[Callable[[], int]] if int(): b = (x for x in a) # E: Generator has incompatible item type "Callable[[], str]"; expected "Callable[[], int]" [builtins fixtures/list.pyi] -- Conditional expressions -- ----------------------- [case testSimpleConditionalExpression] import typing y = '' x = 1 if y else 2 if int(): x = 3 if int(): x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testConditionalExpressionWithEmptyCondition] import typing def f() -> None: pass x = 1 if f() else 2 # E: "f" does not return a value (it only ever returns None) [case testConditionalExpressionWithSubtyping] import typing class A: pass class B(A): pass x = B() if bool() else A() if int(): x = A() if int(): x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "A") y = A() if bool() else B() if int(): y = A() if int(): y = '' # E: Incompatible types in assignment (expression has type "str", variable has type "A") [builtins fixtures/bool.pyi] [case testConditionalExpressionAndTypeContext] import typing x = [1] if bool() else [] if int(): x = [1] if int(): x = ['x'] # E: List item 0 has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testConditionalExpressionUnion] from typing import Union reveal_type(1 if bool() else 2) # N: Revealed type is "Union[Literal[1]?, Literal[2]?]" reveal_type(1 if bool() else '') # N: Revealed type is "Union[Literal[1]?, Literal['']?]" x: Union[int, str] = reveal_type(1 if bool() else '') # N: Revealed type is "Union[Literal[1]?, Literal['']?]" class A: pass class B(A): pass class C: pass class D(A): pass a = A() b = B() c = C() d = D() reveal_type(a if bool() else b) # N: Revealed type is "__main__.A" reveal_type(b if bool() else c) # N: Revealed type is "Union[__main__.B, __main__.C]" reveal_type(c if bool() else b) # N: Revealed type is "Union[__main__.C, __main__.B]" reveal_type(c if bool() else a) # N: Revealed type is "Union[__main__.C, __main__.A]" reveal_type(d if bool() else b) # N: Revealed type is "Union[__main__.D, __main__.B]" [builtins fixtures/bool.pyi] [case testConditionalExpressionUnionWithAny] from typing import Union, Any a: Any x: Union[int, str] = reveal_type(a if int() else 1) # N: Revealed type is "Union[Any, Literal[1]?]" reveal_type(a if int() else 1) # N: Revealed type is "Union[Any, Literal[1]?]" [case testConditionalExpressionStatementNoReturn] from typing import List, Union x = [] y = "" x.append(y) if bool() else x.append(y) z = x.append(y) if bool() else x.append(y) # E: "append" of "list" does not return a value (it only ever returns None) [builtins fixtures/list.pyi] [case testConditionalExpressionWithUnreachableBranches] from typing import TypeVar T = TypeVar("T", int, str) def foo(x: T) -> T: return x + 1 if isinstance(x, int) else x + "a" [builtins fixtures/isinstancelist.pyi] -- Special cases -- ------------- [case testOperationsWithNonInstanceTypes] from typing import cast class A: def __add__(self, a: 'A') -> 'A': pass def f() -> None: pass a: A None + a # E: Unsupported left operand type for + ("None") f + a # E: Unsupported left operand type for + ("Callable[[], None]") a + f # E: Unsupported operand types for + ("A" and "Callable[[], None]") cast(A, f) [case testOperatorMethodWithInvalidArgCount] a: A a + a # Fail class A: def __add__(self) -> 'A': pass [out] main:3: error: Too many arguments for "__add__" of "A" [case testOperatorMethodAsVar] from typing import Any class A: def __init__(self, _add: Any) -> None: self.__add__ = _add a: A a + a [out] [case testOperatorMethodAsVar2] class A: def f(self, x: int) -> str: pass __add__ = f s: str s = A() + 1 A() + (A() + 1) [out] main:7: error: Argument 1 has incompatible type "str"; expected "int" [case testIndexedLvalueWithSubtypes] a: A b: B c: C a[c] = c a[b] = c a[c] = b class A: def __setitem__(self, x: 'B', y: 'B') -> None: pass class B: pass class C(B): pass [builtins fixtures/tuple.pyi] [out] -- Ellipsis -- -------- [case testEllipsis] a: A if str(): a = ... # E: Incompatible types in assignment (expression has type "ellipsis", variable has type "A") b = ... c = ... if str(): b = c ....__class__ ....a # E: "ellipsis" has no attribute "a" class A: pass [builtins fixtures/dict-full.pyi] -- Yield expression -- ---------------- [case testYieldExpression] def f(x: int) -> None: x = yield f('') x = 1 [builtins fixtures/for.pyi] [out] main:1: error: The return type of a generator function should be "Generator" or one of its supertypes main:2: error: "f" does not return a value (it only ever returns None) main:2: error: Argument 1 to "f" has incompatible type "str"; expected "int" [case testYieldExpressionWithNone] from typing import Iterator def f(x: int) -> Iterator[None]: (yield) [builtins fixtures/for.pyi] [out] -- Yield from expression -- ---------------- [case testYieldFromIteratorHasNoValue] from typing import Iterator def f() -> Iterator[int]: yield 5 def g() -> Iterator[int]: a = yield from f() # E: Function does not return a value (it only ever returns None) [case testYieldFromGeneratorHasValue] from typing import Iterator, Generator def f() -> Generator[int, None, str]: yield 5 return "ham" def g() -> Iterator[int]: a = "string" a = yield from f() [out] [case testYieldFromTupleExpression] from typing import Generator def g() -> Generator[int, None, None]: x = yield from () # E: Function does not return a value (it only ever returns None) x = yield from (0, 1, 2) # E: Function does not return a value (it only ever returns None) x = yield from (0, "ERROR") # E: Incompatible types in "yield from" (actual type "Union[int, str]", expected type "int") \ # E: Function does not return a value (it only ever returns None) x = yield from ("ERROR",) # E: Incompatible types in "yield from" (actual type "str", expected type "int") \ # E: Function does not return a value (it only ever returns None) [builtins fixtures/tuple.pyi] -- dict(...) -- --------- -- Note that the stub used in unit tests does not have all overload -- variants, but it should not matter. [case testDictWithKeywordArgsOnly] from typing import Dict, Any d1 = dict(a=1, b=2) # type: Dict[str, int] d2 = dict(a=1, b='') # type: Dict[str, int] # E: Dict entry 1 has incompatible type "str": "str"; expected "str": "int" d3 = dict(a=1) # type: Dict[int, int] # E: Dict entry 0 has incompatible type "str": "int"; expected "int": "int" d4 = dict(a=1, b=1) d4.xyz # E: "dict[str, int]" has no attribute "xyz" d5 = dict(a=1, b='') # type: Dict[str, Any] [builtins fixtures/dict.pyi] [case testDictWithoutKeywordArgs] from typing import Dict d = dict() # E: Need type annotation for "d" (hint: "d: dict[, ] = ...") d2 = dict() # type: Dict[int, str] dict(undefined) # E: Name "undefined" is not defined [builtins fixtures/dict.pyi] [case testDictFromList] from typing import Dict d = dict([(1, 'x'), (2, 'y')]) d() # E: "dict[int, str]" not callable d2 = dict([(1, 'x')]) # type: Dict[str, str] # E: List item 0 has incompatible type "tuple[int, str]"; expected "tuple[str, str]" [builtins fixtures/dict.pyi] [case testDictFromIterableAndKeywordArg] from typing import Dict it = [('x', 1)] d = dict(it, x=1) d() # E: "dict[str, int]" not callable d2 = dict(it, x='') d2() # E: "dict[str, object]" not callable d3 = dict(it, x='') # type: Dict[str, int] # E: Argument "x" to "dict" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testDictFromIterableAndKeywordArg2] it = [(1, 'x')] dict(it, x='y') # E: Keyword argument only valid with "str" key type in call to "dict" [builtins fixtures/dict.pyi] [case testDictFromIterableAndKeywordArg3] d = dict([], x=1) d() # E: "dict[str, int]" not callable [builtins fixtures/dict.pyi] [case testDictFromIterableAndStarStarArgs] from typing import Dict it = [('x', 1)] kw = {'x': 1} d = dict(it, **kw) d() # E: "dict[str, int]" not callable kw2 = {'x': ''} d2 = dict(it, **kw2) d2() # E: "dict[str, object]" not callable d3 = dict(it, **kw2) # type: Dict[str, int] # E: Argument 2 to "dict" has incompatible type "**dict[str, str]"; expected "int" [builtins fixtures/dict.pyi] [case testDictFromIterableAndStarStarArgs2] it = [(1, 'x')] kw = {'x': 'y'} d = dict(it, **kw) # E: Keyword argument only valid with "str" key type in call to "dict" d() # E: "dict[int, str]" not callable [builtins fixtures/dict.pyi] [case testUserDefinedClassNamedDict] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class dict(Generic[T, S]): def __init__(self, x: T, **kwargs: T) -> None: pass dict(1, y=1) [builtins fixtures/dict.pyi] [case testSpecialSignatureForSubclassOfDict] from typing import TypeVar, Dict, Generic T = TypeVar('T') S = TypeVar('S') class D1(dict): pass # Implicit base class Dict[Any, Any] D1([(1, 2)], x=1) class D2(Dict[T, S], Generic[T, S]): pass da = D2([('x', 2)], x=1) da() # E: "D2[str, int]" not callable D2([(1, 2)], x=1) # E: Keyword argument only valid with "str" key type in call to "dict" db = D2(x=1) db() # E: "D2[str, int]" not callable [builtins fixtures/dict.pyi] [case testSpecialSignatureForSubclassOfDict2] from typing import TypeVar, Dict, Generic T = TypeVar('T') class D(Dict[str, T], Generic[T]): pass D([('x', 1)], x=1) [builtins fixtures/dict.pyi] [case testOverridingSpecialSignatureInSubclassOfDict] from typing import TypeVar, Dict, Generic T = TypeVar('T') S = TypeVar('S') class D(Dict[T, S], Generic[T, S]): def __init__(self, x: S, y: T) -> None: pass d = D(1, y='') d() # E: "D[str, int]" not callable [builtins fixtures/dict.pyi] [case testRevealType] reveal_type(1) # N: Revealed type is "Literal[1]?" [case testRevealLocals] x = 1 y = 2 z = x + y reveal_locals() [out] main:4: note: Revealed local types are: main:4: note: x: builtins.int main:4: note: y: builtins.int main:4: note: z: builtins.int [case testUndefinedRevealType] reveal_type(x) [out] main:1: error: Name "x" is not defined main:1: note: Revealed type is "Any" [case testUserDefinedRevealType] def reveal_type(x: int) -> None: pass reveal_type("foo") # E: Argument 1 to "reveal_type" has incompatible type "str"; expected "int" [case testTypingRevealType] from typing import reveal_type from typing import reveal_type as show_me_the_type reveal_type(1) # N: Revealed type is "Literal[1]?" show_me_the_type(1) # N: Revealed type is "Literal[1]?" [case testTypingExtensionsRevealType] from typing_extensions import reveal_type from typing_extensions import reveal_type as show_me_the_type reveal_type(1) # N: Revealed type is "Literal[1]?" show_me_the_type(1) # N: Revealed type is "Literal[1]?" [builtins fixtures/tuple.pyi] [case testRevealTypeVar] reveal_type = 1 1 + "foo" # E: Unsupported operand types for + ("int" and "str") [case testRevealForward] def f() -> None: reveal_type(x) x = 1 + int() [out] main:2: note: Revealed type is "builtins.int" [case testRevealUncheckedFunction] def f(): x = 42 reveal_type(x) [out] main:3: note: Revealed type is "Any" main:3: note: 'reveal_type' always outputs 'Any' in unchecked functions [case testRevealCheckUntypedDefs] # flags: --check-untyped-defs def f(): x = 42 reveal_type(x) [out] main:4: note: Revealed type is "builtins.int" [case testRevealTypedDef] def f() -> None: x = 42 reveal_type(x) [out] main:3: note: Revealed type is "builtins.int" [case testLambdaTypedContext] def f() -> None: lambda: 'a'.missing() # E: "str" has no attribute "missing" [case testLambdaUnypedContext] def f(): lambda: 'a'.missing() [case testLambdaCheckUnypedContext] # flags: --check-untyped-defs def f(): lambda: 'a'.missing() # E: "str" has no attribute "missing" [case testEqNone] None == None [builtins fixtures/ops.pyi] [case testLtNone] None < None # E: Unsupported left operand type for < ("None") [builtins fixtures/ops.pyi] [case testDictWithStarExpr] b = {'z': 26, *a} # E: Invalid syntax [builtins fixtures/dict.pyi] [case testDictWithStarStarExpr] from typing import Dict, Iterable class Thing: def keys(self) -> Iterable[str]: ... def __getitem__(self, key: str) -> int: ... a = {'a': 1} b = {'z': 26, **a} c = {**b} d = {**a, **b, 'c': 3} e = {1: 'a', **a} # E: Cannot infer value of type parameter "KT" of \ # N: Try assigning the literal to a variable annotated as dict[, ] f = {**b} # type: Dict[int, int] # E: Unpacked dict entry 0 has incompatible type "dict[str, int]"; expected "SupportsKeysAndGetItem[int, int]" g = {**Thing()} h = {**a, **Thing()} i = {**Thing()} # type: Dict[int, int] # E: Unpacked dict entry 0 has incompatible type "Thing"; expected "SupportsKeysAndGetItem[int, int]" \ # N: Following member(s) of "Thing" have conflicts: \ # N: Expected: \ # N: def __getitem__(self, int, /) -> int \ # N: Got: \ # N: def __getitem__(self, str, /) -> int \ # N: Expected: \ # N: def keys(self) -> Iterable[int] \ # N: Got: \ # N: def keys(self) -> Iterable[str] j = {1: 'a', **Thing()} # E: Cannot infer value of type parameter "KT" of \ # N: Try assigning the literal to a variable annotated as dict[, ] [builtins fixtures/dict.pyi] [typing fixtures/typing-medium.pyi] [case testDictIncompatibleTypeErrorMessage] from typing import Dict, Callable def things() -> int: return 42 stuff: Dict[int, Callable[[], str]] = { 1: things # E: Dict entry 0 has incompatible type "int": "Callable[[], int]"; expected "int": "Callable[[], str]" } [builtins fixtures/dict.pyi] [case testDictIncompatibleKeyVerbosity] from typing import Dict import mod class A: ... class B(A): ... d: Dict[A, B] = {A(): mod.B()} # E: Dict entry 0 has incompatible type "A": "mod.B"; expected "A": "__main__.B" [file mod.py] class B: ... [builtins fixtures/dict.pyi] [case testDictIncompatibleValueVerbosity] from typing import Dict import mod class A: ... class B(A): ... d: Dict[B, A] = {mod.B(): A()} # E: Dict entry 0 has incompatible type "mod.B": "A"; expected "__main__.B": "A" [file mod.py] class B: ... [builtins fixtures/dict.pyi] [case testTypeAnnotationNeededMultipleAssignment] x, y = [], [] # E: Need type annotation for "x" (hint: "x: list[] = ...") \ # E: Need type annotation for "y" (hint: "y: list[] = ...") [builtins fixtures/list.pyi] [case testStrictEqualityEq] # flags: --strict-equality class A: ... class B: ... class C(B): ... A() == B() # E: Non-overlapping equality check (left operand type: "A", right operand type: "B") B() == C() C() == B() A() != B() # E: Non-overlapping equality check (left operand type: "A", right operand type: "B") B() != C() C() != B() [builtins fixtures/bool.pyi] [case testStrictEqualityIs] # flags: --strict-equality class A: ... class B: ... class C(B): ... A() is B() # E: Non-overlapping identity check (left operand type: "A", right operand type: "B") B() is C() C() is B() A() is not B() # E: Non-overlapping identity check (left operand type: "A", right operand type: "B") B() is not C() C() is not B() [builtins fixtures/bool.pyi] [case testStrictEqualityContains] # flags: --strict-equality class A: ... class B: ... class C(B): ... A() in [B()] # E: Non-overlapping container check (element type: "A", container item type: "B") B() in [C()] C() in [B()] A() not in [B()] # E: Non-overlapping container check (element type: "A", container item type: "B") B() not in [C()] C() not in [B()] [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityUnions] # flags: --strict-equality from typing import Container, Union class A: ... class B: ... a: Union[int, str] b: Union[A, B] a == int() b == int() # E: Non-overlapping equality check (left operand type: "Union[A, B]", right operand type: "int") a is int() b is int() # E: Non-overlapping identity check (left operand type: "Union[A, B]", right operand type: "int") ca: Union[Container[int], Container[str]] cb: Union[Container[A], Container[B]] 42 in ca 42 in cb # E: Non-overlapping container check (element type: "int", container item type: "Union[A, B]") [builtins fixtures/bool.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityBytesSpecial] # flags: --strict-equality b'abc' in b'abcde' [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStrictEqualityBytesSpecialUnion] # flags: --strict-equality from typing import Union x: Union[bytes, str] b'abc' in x x in b'abc' [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStrictEqualityByteArraySpecial] # flags: --strict-equality b'abc' in bytearray(b'abcde') bytearray(b'abc') in b'abcde' # OK on Python 3 [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStrictEqualityNoPromotePy3] # flags: --strict-equality 'a' == b'a' # E: Non-overlapping equality check (left operand type: "Literal['a']", right operand type: "Literal[b'a']") b'a' in 'abc' # E: Non-overlapping container check (element type: "bytes", container item type: "str") x: str y: bytes x != y # E: Non-overlapping equality check (left operand type: "str", right operand type: "bytes") [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityOkPromote] # flags: --strict-equality from typing import Container c: Container[int] 1 == 1.0 # OK 1.0 in c # OK [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityAny] # flags: --strict-equality from typing import Any, Container x: Any c: Container[str] x in c x == 42 x is 42 [builtins fixtures/bool.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityStrictOptional] # flags: --strict-equality x: str if x is not None: # OK even with strict-optional pass [builtins fixtures/bool.pyi] [case testStrictEqualityNoStrictOptional] # flags: --strict-equality --no-strict-optional x: str if x is not None: # OK without strict-optional pass [builtins fixtures/bool.pyi] [case testStrictEqualityEqNoOptionalOverlap] # flags: --strict-equality from typing import Optional x: Optional[str] y: Optional[int] if x == y: # E: Non-overlapping equality check (left operand type: "Optional[str]", right operand type: "Optional[int]") ... [builtins fixtures/bool.pyi] [case testCustomEqCheckStrictEquality] # flags: --strict-equality class A: def __eq__(self, other: A) -> bool: # type: ignore ... class B: def __eq__(self, other: B) -> bool: # type: ignore ... # Don't report non-overlapping check if there is already and error. A() == B() # E: Unsupported operand types for == ("A" and "B") [builtins fixtures/bool.pyi] [case testStrictEqualitySequenceAndCustomEq] # flags: --strict-equality from typing import Tuple class C: pass class D: def __eq__(self, other): return True a = [C()] b = [D()] a == b b == a t1: Tuple[C, ...] t2: Tuple[D, ...] t1 == t2 t2 == t1 [builtins fixtures/bool.pyi] [case testCustomEqCheckStrictEqualityOKInstance] # flags: --strict-equality class A: def __eq__(self, other: object) -> bool: ... class B: def __eq__(self, other: object) -> bool: ... A() == int() # OK int() != B() # OK [builtins fixtures/bool.pyi] [case testCustomEqCheckStrictEqualityOKUnion] # flags: --strict-equality from typing import Union class A: def __eq__(self, other: object) -> bool: ... x: Union[A, str] x == int() [builtins fixtures/bool.pyi] [case testCustomEqCheckStrictEqualityTuple] # flags: --strict-equality from typing import NamedTuple class Base(NamedTuple): attr: int class Custom(Base): def __eq__(self, other: object) -> bool: ... Base(int()) == int() # E: Non-overlapping equality check (left operand type: "Base", right operand type: "int") Base(int()) == tuple() Custom(int()) == int() [builtins fixtures/bool.pyi] [case testCustomEqCheckStrictEqualityMeta] # flags: --strict-equality class CustomMeta(type): def __eq__(self, other: object) -> bool: ... class Normal: ... class Custom(metaclass=CustomMeta): ... Normal == int() # E: Non-overlapping equality check (left operand type: "type[Normal]", right operand type: "int") Normal == Normal Custom == int() n: type[Normal] = Normal c: type[Custom] = Custom n == int() # E: Non-overlapping equality check (left operand type: "type[Normal]", right operand type: "int") n == n c == int() [builtins fixtures/bool.pyi] [case testCustomContainsCheckStrictEquality] # flags: --strict-equality class A: def __contains__(self, other: A) -> bool: ... # Don't report non-overlapping check if there is already and error. 42 in A() # E: Unsupported operand types for in ("int" and "A") [builtins fixtures/bool.pyi] [case testStrictEqualityTypeVsCallable] # flags: --strict-equality from typing import Type, List class C: ... class D(C): ... class Bad: ... subclasses: List[Type[C]] object in subclasses D in subclasses Bad in subclasses # E: Non-overlapping container check (element type: "type[Bad]", container item type: "type[C]") [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityMetaclass] # flags: --strict-equality from typing import List, Type, Any class Meta(type): ... class OtherMeta(type): ... class A(metaclass=Meta): ... class B(metaclass=Meta): ... class C(metaclass=OtherMeta): ... o: Type[object] a: Type[Any] aa: type exp: List[Meta] A in exp B in exp C in exp # E: Non-overlapping container check (element type: "type[C]", container item type: "Meta") o in exp a in exp aa in exp a in [A, B] aa in [A, B] class AA: ... class BB: ... a in [AA, BB] aa in [AA, BB] [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [case testEmptyListOverlap] # mypy: strict-equality from typing import List x: List[int] x == [] [builtins fixtures/isinstancelist.pyi] [case testCustomEqDecoratedStrictEquality] # flags: --strict-equality from typing import TypeVar, Callable, Any F = TypeVar('F', bound=Callable[..., Any]) def deco(f: F) -> F: ... class Custom: @deco def __eq__(self, other: object) -> bool: ... Custom() == int() [builtins fixtures/bool.pyi] [case testCustomEqVarStrictEquality] # flags: --strict-equality class Custom: def compare(self, other: object) -> bool: ... __eq__ = compare Custom() == int() [builtins fixtures/bool.pyi] [case testStrictEqualityDisabledWithTypeVarRestrictions] # flags: --strict-equality from typing import TypeVar T = TypeVar('T', str, int) def f(x: T) -> T: if x == int(): # OK ... return x [builtins fixtures/bool.pyi] [case testStrictEqualityWithALiteral] # flags: --strict-equality from typing import Final, Literal def returns_a_or_b() -> Literal['a', 'b']: ... def returns_1_or_2() -> Literal[1, 2]: ... THREE: Final = 3 if returns_a_or_b() == 'c': # E: Non-overlapping equality check (left operand type: "Literal['a', 'b']", right operand type: "Literal['c']") ... if returns_1_or_2() is THREE: # E: Non-overlapping identity check (left operand type: "Literal[1, 2]", right operand type: "Literal[3]") ... [builtins fixtures/bool.pyi] [case testStrictEqualityWithALiteralNewType] # flags: --strict-equality from typing import NewType UserId = NewType('UserId', int) FileId = NewType('FileId', str) u: UserId f: FileId if u == 0: # OK ... if f == 0: # E: Non-overlapping equality check (left operand type: "FileId", right operand type: "Literal[0]") ... [builtins fixtures/bool.pyi] [case testStrictEqualityWithFixedLengthTupleInCheck] # flags: --strict-equality if 1 in ('x', 'y'): # E: Non-overlapping container check (element type: "int", container item type: "str") pass [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testOverlappingAnyTypeWithoutStrictOptional] # flags: --no-strict-optional --strict-equality from typing import Any, Optional x: Optional[Any] if x in (1, 2): pass [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testOverlappingClassCallables] # flags: --strict-equality from typing import Any, Callable, Type x: Type[int] y: Callable[[], Any] x == y y == x int == y y == int [builtins fixtures/bool.pyi] [case testStrictEqualityAndEnumWithCustomEq] # flags: --strict-equality from enum import Enum class E1(Enum): X = 0 Y = 1 class E2(Enum): X = 0 Y = 1 def __eq__(self, other: object) -> bool: return bool() E1.X == E1.Y # E: Non-overlapping equality check (left operand type: "Literal[E1.X]", right operand type: "Literal[E1.Y]") E2.X == E2.Y [builtins fixtures/bool.pyi] [case testStrictEqualityWithBytesContains] # flags: --strict-equality data = b"xy" b"x" in data [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityWithDifferentMapTypes] # flags: --strict-equality from typing import Mapping class A(Mapping[int, str]): ... class B(Mapping[int, str]): ... a: A b: B assert a == b [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityWithRecursiveMapTypes] # flags: --strict-equality from typing import Dict R = Dict[str, R] a: R b: R assert a == b R2 = Dict[int, R2] c: R2 assert a == c # E: Non-overlapping equality check (left operand type: "dict[str, R]", right operand type: "dict[int, R2]") [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityWithRecursiveListTypes] # flags: --strict-equality from typing import List, Union R = List[Union[str, R]] a: R b: R assert a == b R2 = List[Union[int, R2]] c: R2 assert a == c [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [case testStrictEqualityForNone] # flags: --strict-equality --strict-equality-for-none class A: ... def a1(x: A) -> None: assert x is None # E: Non-overlapping identity check (left operand type: "A", right operand type: "None") def a2(x: A) -> None: x is not None # E: Non-overlapping identity check (left operand type: "A", right operand type: "None") def a3(x: A) -> None: None == x # E: Non-overlapping equality check (left operand type: "None", right operand type: "A") def a4(x: list[A]) -> None: None in x # E: Non-overlapping container check (element type: "None", container item type: "A") class B: def __eq__(self, x: object) -> bool: ... def b1(x: B) -> None: assert x is None # E: Non-overlapping identity check (left operand type: "B", right operand type: "None") def b2(x: B) -> None: x is not None # E: Non-overlapping identity check (left operand type: "B", right operand type: "None") def b3(x: B) -> None: x == None def b4(x: list[B]) -> None: None in x [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [case testUnimportedHintAny] def f(x: Any) -> None: # E: Name "Any" is not defined \ # N: Did you forget to import it from "typing"? (Suggestion: "from typing import Any") pass [case testUnimportedHintAnyLower] def f(x: any) -> None: # E: Name "any" is not defined \ # N: Did you forget to import it from "typing"? (Suggestion: "from typing import Any") pass [case testUnimportedHintOptional] def f(x: Optional[str]) -> None: # E: Name "Optional" is not defined \ # N: Did you forget to import it from "typing"? (Suggestion: "from typing import Optional") pass [case testAssertionLazilyWithIsNone] from typing import Optional, List li: Optional[List] = [] assert li is None, li[0] [builtins fixtures/list.pyi] [case testAssertionLazilyWithIsInstance] from typing import Optional, List li: Optional[List] = [] assert not isinstance(li,list), li[0] [builtins fixtures/isinstancelist.pyi] [case testAssertCurrentFrameIsNotUnreachable] def f() -> int: # E: Missing return statement x: int assert isinstance(x, int), '...' [builtins fixtures/isinstance.pyi] [case testTypeVarAsValue] from typing import TypeVar T = TypeVar("T") x: int x + T # E: Unsupported left operand type for + ("int") T() # E: "TypeVar" not callable [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-fastparse.test0000644000175100017510000002261715112307767021100 0ustar00runnerrunner[case testFastParseSyntaxError] 1 + # E: Invalid syntax [case testFastParseTypeCommentSyntaxError] x = None # type: a : b # E: Syntax error in type comment "a : b" [case testFastParseInvalidTypeComment] x = None # type: a + b # E: Invalid type comment or annotation -- Function type comments are attributed to the function def line. -- This happens in both parsers. [case testFastParseFunctionAnnotationSyntaxError] def f(): # E: Syntax error in type comment "None -> None" # N: Suggestion: wrap argument types in parentheses # type: None -> None pass [case testFastParseFunctionAnnotationSyntaxErrorSpaces] def f(): # E: Syntax error in type comment "None -> None" # N: Suggestion: wrap argument types in parentheses # type: None -> None pass [case testFastParseInvalidFunctionAnnotation] def f(x): # E: Invalid type comment or annotation # type: (a + b) -> None pass [case testFastParseInvalidTypes3] # All of these should not crash from typing import Callable, Tuple, Iterable x: Tuple[int, str].x # E: Invalid type comment or annotation a: Iterable[x].x # E: Invalid type comment or annotation b: Tuple[x][x] # E: Invalid type comment or annotation c: Iterable[x][x] # E: Invalid type comment or annotation d: Callable[..., int][x] # E: Invalid type comment or annotation e: Callable[..., int].x # E: Invalid type comment or annotation f = None # type: Tuple[int, str].x # E: Invalid type comment or annotation g = None # type: Iterable[x].x # E: Invalid type comment or annotation h = None # type: Tuple[x][x] # E: Invalid type comment or annotation i = None # type: Iterable[x][x] # E: Invalid type comment or annotation j = None # type: Callable[..., int][x] # E: Invalid type comment or annotation k = None # type: Callable[..., int].x # E: Invalid type comment or annotation def f1(x: Tuple[int, str].x) -> None: pass # E: Invalid type comment or annotation def f2(x: Iterable[x].x) -> None: pass # E: Invalid type comment or annotation def f3(x: Tuple[x][x]) -> None: pass # E: Invalid type comment or annotation def f4(x: Iterable[x][x]) -> None: pass # E: Invalid type comment or annotation def f5(x: Callable[..., int][x]) -> None: pass # E: Invalid type comment or annotation def f6(x: Callable[..., int].x) -> None: pass # E: Invalid type comment or annotation [case testFastParseTypeWithIgnore] def f(x, # type: x # type: ignore ): # type: (...) -> None pass [case testFastParseVariableTypeWithIgnore] x = 1 # type: str # type: ignore [case testFastParseVariableTypeWithIgnoreNoSpace] x = 1 # type: str #type:ignore [case testFastParseVariableTypeWithIgnoreAndComment] x = 1 # type: str # type: ignore # comment [case testFastParseTypeWithIgnoreWithStmt] with open('test', 'r') as f: # type: int # type: ignore pass [case testFastParseTypeWithIgnoreForStmt] for i in (1, 2, 3, 100): # type: str # type: ignore pass [builtins fixtures/tuple.pyi] [case testFastParseVariableCommentThenIgnore] a="test" # type: int #comment # type: ignore # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testFastParseProperty] class C: @property def x(self) -> str: pass @x.setter def x(self, value: str) -> None: pass [builtins fixtures/property.pyi] [case testFastParseConditionalProperty] class C: if bool(): @property def x(self) -> str: pass @x.setter def x(self, value: str) -> None: pass [builtins fixtures/property.pyi] [case testFastParsePerArgumentAnnotations] # flags: --implicit-optional class A: pass class B: pass class C: pass class D: pass class E: pass class F: pass def f(a, # type: A b = None, # type: B *args, # type: C d = None, # type: D e, # type: E **kwargs # type: F ): reveal_type(a) # N: Revealed type is "__main__.A" reveal_type(b) # N: Revealed type is "Union[__main__.B, None]" reveal_type(args) # N: Revealed type is "builtins.tuple[__main__.C, ...]" reveal_type(d) # N: Revealed type is "Union[__main__.D, None]" reveal_type(e) # N: Revealed type is "__main__.E" reveal_type(kwargs) # N: Revealed type is "builtins.dict[builtins.str, __main__.F]" [builtins fixtures/dict.pyi] [out] [case testFastParsePerArgumentAnnotationsWithReturn] # flags: --implicit-optional class A: pass class B: pass class C: pass class D: pass class E: pass class F: pass def f(a, # type: A b = None, # type: B *args, # type: C d = None, # type: D e, # type: E **kwargs # type: F ): # type: (...) -> int reveal_type(a) # N: Revealed type is "__main__.A" reveal_type(b) # N: Revealed type is "Union[__main__.B, None]" reveal_type(args) # N: Revealed type is "builtins.tuple[__main__.C, ...]" reveal_type(d) # N: Revealed type is "Union[__main__.D, None]" reveal_type(e) # N: Revealed type is "__main__.E" reveal_type(kwargs) # N: Revealed type is "builtins.dict[builtins.str, __main__.F]" return "not an int" # E: Incompatible return value type (got "str", expected "int") [builtins fixtures/dict.pyi] [out] [case testFastParsePerArgumentAnnotationsWithAnnotatedBareStar] def f(*, # type: int # E: Bare * has associated type comment x # type: str ): # type: (...) -> int pass [builtins fixtures/dict.pyi] [out] [case testFastParsePerArgumentAnnotationsWithReturnAndBareStar] def f(*, x # type: str ): # type: (...) -> int reveal_type(x) # N: Revealed type is "builtins.str" return "not an int" # E: Incompatible return value type (got "str", expected "int") [builtins fixtures/dict.pyi] [out] [case testFasterParseTooManyArgumentsAnnotation] def f(): # E: Type signature has too many arguments # type: (int) -> None pass f() f(1) # E: Too many arguments for "f" [case testFasterParseTooFewArgumentsAnnotation] def f(x, y): # E: Type signature has too few arguments # type: (int) -> None x() y() f(1, 2) f(1) # E: Missing positional argument "y" in call to "f" [case testFasterParseTypeErrorCustom] from typing import TypeVar, Generic T = TypeVar('T') class Foo(Generic[T]): pass def f(a: Foo(int)) -> int: pass [out] main:7: error: Invalid type comment or annotation main:7: note: Suggestion: use Foo[...] instead of Foo(...) [case testFastParseMatMul] from typing import Any x = None # type: Any x @ 1 x @= 1 [case testFastParserShowsMultipleErrors] def f(x): # E: Type signature has too few arguments # type: () -> None pass def g(): # E: Type signature has too many arguments # type: (int) -> None pass [case testFastParseMalformedAssert] assert 1, 2 assert (1, 2) # E: Assertion is always true, perhaps remove parentheses? assert (1, 2), 3 # E: Assertion is always true, perhaps remove parentheses? assert (1,) # E: Assertion is always true, perhaps remove parentheses? assert () [builtins fixtures/tuple.pyi] [case testFastParseAssertMessage] assert 1 assert 1, 2 assert 1, 1+2 assert 1, 1+'test' # E: Unsupported operand types for + ("int" and "str") assert 1, f() # E: Name "f" is not defined [case testFastParserConsistentFunctionTypes] def f1(x, y, z): # type: (int, int, int) -> int pass def f2(x, # type: int # E: Function has duplicate type signatures y, # type: int z # type: int ): # type: (int, int, int) -> int pass def f3(x, # type: int y, # type: int z # type: int ): # type: (...) -> int pass def f4(x, y, z): # type: (int, int, int) -> int pass def f5(x) -> int: # E: Function has duplicate type signatures # type: (int) -> int pass def f6(x: int, y: int, z: int): # type: (...) -> int pass def f7(x: int): # E: Function has duplicate type signatures # type: (int) -> int pass [case testFastParserDuplicateNames] def f(x, y, z): pass def g(x, y, x): # E: Duplicate argument "x" in function definition pass def h(x, y, *x): # E: Duplicate argument "x" in function definition pass def i(x, y, *z, **z): # E: Duplicate argument "z" in function definition pass def j(x: int, y: int, *, x: int = 3): # E: Duplicate argument "x" in function definition pass def k(*, y, z, y): # E: Duplicate argument "y" in function definition pass lambda x, y, x: ... # E: Duplicate argument "x" in function definition [case testNoCrashOnImportFromStar] from pack import * [file pack/__init__.py] from . import * [case testNoCrashOnImportFromStarNested] import blamodule [file blamodule/__init__.py] from . import command from . import backends [file blamodule/backends/__init__.py] from .Bla import Bla Bla().method() [file blamodule/backends/Bla.py] from .. import * class Bla: def method(self) -> str: return command.call() [file blamodule/command.py] def call() -> str: pass [builtins fixtures/module.pyi] [case testInvalidEscapeSequenceWarningsSuppressed] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # Test that SyntaxWarnings for invalid escape sequences are suppressed # when parsing potential type expressions containing regex patterns or # similar strings. Callable arguments are always potential type expressions. from typing import TypeForm def identity(typx: TypeForm) -> TypeForm: return typx # This should not generate SyntaxWarning despite invalid escape sequence identity(r"re\.match") # E: Argument 1 to "identity" has incompatible type "str"; expected "TypeForm[Any]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-final.test0000644000175100017510000010551015112307767020173 0ustar00runnerrunner-- Test cases for final qualifier -- -- Definitions [case testFinalDefiningModuleVar] from typing import Final x: Final = int() y: Final[float] = int() z: Final[int] = int() bad: Final[str] = int() # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.float" reveal_type(z) # N: Revealed type is "builtins.int" [out] [case testFinalDefiningInstanceVar] from typing import Final class C: x: Final = int() y: Final[float] = int() z: Final[int] = int() bad: Final[str] = int() # E: Incompatible types in assignment (expression has type "int", variable has type "str") class D(C): pass reveal_type(D.x) # N: Revealed type is "builtins.int" reveal_type(D.y) # N: Revealed type is "builtins.float" reveal_type(D.z) # N: Revealed type is "builtins.int" reveal_type(D().x) # N: Revealed type is "builtins.int" reveal_type(D().y) # N: Revealed type is "builtins.float" reveal_type(D().z) # N: Revealed type is "builtins.int" [out] [case testFinalDefiningInstanceVarImplicit] from typing import Final, Tuple, Any class C: def __init__(self, x: Tuple[int, Any]) -> None: self.x: Final = x self.y: Final[float] = 1 reveal_type(C((1, 2)).x) # N: Revealed type is "tuple[builtins.int, Any]" reveal_type(C((1, 2)).y) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [out] [case testFinalBadDefinitionTooManyArgs] from typing import Final x: Final[int, str] # E: Final name must be initialized with a value \ # E: Final[...] takes at most one type argument reveal_type(x) # N: Revealed type is "builtins.int" class C: def __init__(self) -> None: self.x: Final[float, float] = 1 # E: Final[...] takes at most one type argument reveal_type(C().x) # N: Revealed type is "builtins.float" [out] [case testFinalInvalidDefinitions] # Errors are shown in a different order with the new analyzer. from typing import Final, Any x = y = 1 # type: Final[float] # E: Invalid final declaration z: Any z[0]: Final[int] # E: Invalid final declaration \ # E: Unexpected type declaration [out] [case testFinalDefiningInstanceVarStubs] # Allow skipping r.h.s. import mod [file mod.pyi] from typing import Final x: Final # E: Type in Final[...] can only be omitted if there is an initializer y: Final[int] class C: x: Final # E: Type in Final[...] can only be omitted if there is an initializer y: Final[int] def __init__(self) -> None: self.z: Final # E: Type in Final[...] can only be omitted if there is an initializer reveal_type(x) # N: Revealed type is "Any" reveal_type(C.x) # N: Revealed type is "Any" v: C reveal_type(v.z) # N: Revealed type is "Any" [out] [case testFinalDefiningFunc] from typing import final @final # E: @final cannot be used with non-method functions def f(x: int) -> None: ... [out] [case testFinalDefiningFuncOverloaded] from typing import final, overload @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... @final # E: @final cannot be used with non-method functions def f(x): pass [out] [case testFinalDefiningMeth] from typing import final class C: @final def f(self, x: int) -> None: ... reveal_type(C().f) # N: Revealed type is "def (x: builtins.int)" [out] [case testFinalDefiningMethOverloaded] from typing import final, overload class C: @overload def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... @final def f(self, x): pass @overload def bad(self, x: int) -> int: ... @final # E: @final should be applied only to overload implementation @overload def bad(self, x: str) -> str: ... def bad(self, x): pass reveal_type(C().f) # N: Revealed type is "Overload(def (x: builtins.int) -> builtins.int, def (x: builtins.str) -> builtins.str)" [out] [case testFinalDefiningMethOverloadedStubs] from mod import C reveal_type(C().f) [file mod.pyi] from typing import final, overload class C: @final @overload def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... @overload def bad(self, x: int) -> int: ... @final # Error! @overload def bad(self, x: str) -> str: ... [out] tmp/mod.pyi:12: error: In a stub file @final must be applied only to the first overload main:3: note: Revealed type is "Overload(def (x: builtins.int) -> builtins.int, def (x: builtins.str) -> builtins.str)" [case testFinalDefiningProperty] from typing import final class C: @final @property def f(self) -> int: pass @property @final def g(self) -> int: pass reveal_type(C().f) # N: Revealed type is "builtins.int" reveal_type(C().g) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [out] [case testFinalDefiningOuterOnly] from typing import Final, Callable, Tuple, Any x: Tuple[Final] # E: Final can be only used as an outermost qualifier in a variable annotation y: Callable[[], Tuple[Final[int]]] # E: Final can be only used as an outermost qualifier in a variable annotation [builtins fixtures/tuple.pyi] [out] [case testFinalDefiningNotInMethod] from typing import Final def f(x: Final[int]) -> int: ... # E: Final can be only used as an outermost qualifier in a variable annotation def g(x: int) -> Final[int]: ... # E: Final can be only used as an outermost qualifier in a variable annotation [out] [case testFinalDefiningNotInMethodExtensions] # flags: --python-version 3.14 from typing_extensions import Final def f(x: Final[int]) -> int: ... # E: Final can be only used as an outermost qualifier in a variable annotation def g(x: int) -> Final[int]: ... # E: Final can be only used as an outermost qualifier in a variable annotation [builtins fixtures/tuple.pyi] [out] [case testFinalDefiningNoRhs] from typing import Final x: Final # E: Type in Final[...] can only be omitted if there is an initializer y: Final[int] # E: Final name must be initialized with a value class C: x: Final # E: Type in Final[...] can only be omitted if there is an initializer y: Final[int] # E: Final name must be initialized with a value def __init__(self) -> None: self.z: Final # E: Type in Final[...] can only be omitted if there is an initializer reveal_type(x) # N: Revealed type is "Any" reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(C().x) # N: Revealed type is "Any" reveal_type(C().y) # N: Revealed type is "builtins.int" reveal_type(C().z) # N: Revealed type is "Any" [out] [case testFinalDefiningNoRhsSubclass] from typing import Final class A: x: Final[int] # E: Final name must be initialized with a value class B(A): x = 1 # E: Cannot assign to final name "x" def __init__(self) -> None: self.x = 1 # E: Cannot assign to final attribute "x" [out] [case testFinalDefiningNoTypevarsExplicit] from typing import Final, TypeVar, Generic, Tuple, Any T = TypeVar('T') d: Any class C(Generic[T]): x: Final[Tuple[T, T]] = d # E: Final name declared in class body cannot depend on type variables [builtins fixtures/tuple.pyi] [out] [case testFinalDefiningTypevarsImplicit] from typing import Final, TypeVar, Generic, Tuple, Any T = TypeVar('T') class C(Generic[T]): def __init__(self, x: Tuple[T, T]) -> None: self.x: Final = x self.y: Final = 1 reveal_type(C((1, 2)).x) # N: Revealed type is "tuple[builtins.int, builtins.int]" C.x # E: Cannot access final instance attribute "x" on class object \ # E: Access to generic instance variables via class is ambiguous C.y # E: Cannot access final instance attribute "y" on class object [builtins fixtures/tuple.pyi] [out] [case testFinalDefiningNotInOtherMethod] from typing import Final, Any, Tuple class C: def meth(self, x: Tuple[int, Any]) -> None: self.x: Final = x # E: Can only declare a final attribute in class body or __init__ self.y: Final[float] = 1 # E: Can only declare a final attribute in class body or __init__ [builtins fixtures/tuple.pyi] [out] [case testFinalDefiningOnlyOnSelf] from typing import Final, Any, Tuple class U: x: Any y: Any class C: def __init__(self, x: Tuple[int, Any]) -> None: slf = U() slf.x: Final = x # E: Final can be only applied to a name or an attribute on self slf.y: Final[float] = 1 # E: Type cannot be declared in assignment to non-self attribute \ # E: Final can be only applied to a name or an attribute on self [builtins fixtures/tuple.pyi] [out] [case testFinalNotInProtocol] from typing import Final, final, Protocol, overload class P(Protocol): x: Final[float] = 1 # E: Protocol member cannot be final @final # E: Protocol member cannot be final def meth(self, x) -> int: pass @overload def other(self, x: int) -> int: ... @overload def other(self, x: str) -> str: ... @final # E: Protocol member cannot be final def other(self, x): pass [out] [case testFinalInProtocol] from typing import Final, Protocol, final class P(Protocol): var1 : Final[int] = 0 # E: Protocol member cannot be final @final # E: Protocol member cannot be final def meth1(self) -> None: var2: Final = 0 def meth2(self) -> None: var3: Final = 0 def meth3(self) -> None: class Inner: var3: Final = 0 # OK @final def inner(self) -> None: ... class Inner: var3: Final = 0 # OK @final def inner(self) -> None: ... [out] [case testFinalWithClassVarInProtocol] from typing import Protocol, Final, final, ClassVar class P(Protocol): var1 : Final[ClassVar[int]] = 0 # E: Variable should not be annotated with both ClassVar and Final var2: ClassVar[int] = 1 @final # E: Protocol member cannot be final def meth1(self) -> None: ... def meth2(self) -> None: var3: Final[ClassVar[int]] = 0 # E: Variable should not be annotated with both ClassVar and Final # E: ClassVar can only be used for assignments in class body [out] [case testFinalNotInLoops] from typing import Final for i in [1, 2, 3]: x: Final = i # E: Cannot use Final inside a loop while True: y: Final = True # E: Cannot use Final inside a loop [builtins fixtures/list.pyi] [out] [case testFinalDelayedDefinition] from typing import Final class C: x: Final[int] # OK, defined in __init__ bad: Final[int] # E: Final name must be initialized with a value def __init__(self, x: int) -> None: self.x = x # OK, deferred definition self.x = 2 # E: Cannot assign to final attribute "x" def meth(self) -> None: self.x = 2 # E: Cannot assign to final attribute "x" c: C c.x = 3 # E: Cannot assign to final attribute "x" class D(C): x = 4 # E: Cannot assign to final name "x" d: D d.x = 5 # E: Cannot assign to final attribute "x" [out] [case testFinalDelayedDefinitionOtherMethod] from typing import Final class C: x: Final[int] # E: Final name must be initialized with a value def meth(self) -> None: self.x = 2 # E: Cannot assign to final attribute "x" [out] -- Reassignments [case testFinalReassignModuleVar] # flags: --allow-redefinition from typing import Final x: Final = 1 x x = 2 # E: Cannot assign to final name "x" def f() -> int: global x x = 3 # No error here is okay since we reported an error above return x x2: Final = 1 x2 def f2() -> None: global x2 x2 = 1 # E: Cannot assign to final name "x2" y = 1 y y: Final = 2 # E: Cannot redefine an existing name as final y = 3 # E: Cannot assign to final name "y" z: Final = 1 z: Final = 2 # E: Cannot redefine an existing name as final z = 3 # E: Cannot assign to final name "z" [case testFinalReassignModuleVar2] # flags: --allow-redefinition from typing import Final x: Final = 1 x def f() -> int: global x x = 3 # E: Cannot assign to final name "x" return x y = 1 y y = 2 y y: Final = 3 # E: Cannot redefine an existing name as final [case testFinalReassignModuleVar3] # flags: --disallow-redefinition # Error formatting is subtly different with new analyzer. from typing import Final x: Final = 1 x x = 2 # E: Cannot assign to final name "x" def f() -> int: global x x = 3 # E: Cannot assign to final name "x" return x x2: Final = 1 x2 def f2() -> None: global x2 x2 = 1 # E: Cannot assign to final name "x2" y = 1 # E: Cannot assign to final name "y" y y: Final = 2 # E: Cannot redefine an existing name as final y = 3 # E: Cannot assign to final name "y" z: Final = 1 z: Final = 2 # E: Cannot redefine an existing name as final z = 3 # E: Cannot assign to final name "z" [case testFinalReassignModuleReexport] # Error formatting is subtly different with the new analyzer. from typing import Final from lib import X from lib.mod import ID X = 1 # Error! ID: Final = 1 # Two errors! ID = 1 # Error! [file lib/__init__.pyi] from lib.const import X as X [file lib/mod.pyi] from lib.const import * [file lib/const.pyi] from typing import Final ID: Final # Error! X: Final[int] [out] tmp/lib/const.pyi:3: error: Type in Final[...] can only be omitted if there is an initializer main:8: error: Cannot assign to final name "X" main:9: error: Cannot redefine an existing name as final main:10: error: Cannot assign to final name "ID" [case testFinalReassignFuncScope] from typing import Final def f() -> None: nl: Final = 0 x: Final = 1 x = 1 # E: Cannot assign to final name "x" y: Final = 1 y: Final = 2 # E: Cannot redefine an existing name as final def nested() -> None: nonlocal nl nl = 1 # E: Cannot assign to final name "nl" [out] [case testFinalReassignModuleVarExternal] import mod mod.x = 2 # E: Cannot assign to final name "x" [file mod.pyi] from typing import Final x: Final[int] [out] [case testFinalReassignInstanceVarClassBody] from typing import Final class C: x: Final = 1 x = 2 # E: Cannot assign to final name "x" y = 1 # E: Cannot assign to final name "y" y: Final = 2 # E: Cannot redefine an existing name as final [out] [case testFinalReassignInstanceVarInit] from typing import Final class C: def __init__(self) -> None: self.x: Final = 1 self.y = 1 self.y: Final = 2 # E: Cannot redefine an existing name as final def meth(self) -> None: self.x = 2 # E: Cannot assign to final attribute "x" [out] [case testFinalReassignInstanceVarClassVsInit] from typing import Final class C: y: Final = 1 def __init__(self) -> None: # Methods are processed after top-level in new analyzer. self.x: Final = 1 # E: Cannot redefine an existing name as final self.y = 2 # E: Cannot assign to final attribute "y" x = 2 [out] [case testFinalReassignInstanceVarMethod] from typing import Final class C: x: Final = 1 def __init__(self) -> None: self.y: Final = 1 def meth(self) -> None: self.x = 2 # E: Cannot assign to final attribute "x" self.y = 2 # E: Cannot assign to final attribute "y" def other(self) -> None: self.x = 2 # E: Cannot assign to final attribute "x" self.y = 2 # E: Cannot assign to final attribute "y" @classmethod def cm(cls) -> None: cls.x = 2 # E: Cannot assign to final attribute "x" cls.y # E: Cannot access final instance attribute "y" on class object [builtins fixtures/classmethod.pyi] [out] [case testFinalReassignInstanceVarExternalClass] from typing import Final class C: x: Final = 1 def __init__(self) -> None: self.y: Final = 1 class D(C): pass C.x = 2 # E: Cannot assign to final attribute "x" D.x = 2 # E: Cannot assign to final attribute "x" D.y = 2 # E: Cannot access final instance attribute "y" on class object \ # E: Cannot assign to final attribute "y" [out] [case testFinalReassignInstanceVarExternalInstance] from typing import Final class C: x: Final = 1 def __init__(self) -> None: self.y: Final = 1 class D(C): pass C().x = 2 # E: Cannot assign to final attribute "x" D().x = 2 # E: Cannot assign to final attribute "x" D().y = 2 # E: Cannot assign to final attribute "y" [out] [case testFinalWorksWithComplexTargets] from typing import Final, Any y: Final[Any] = 1 x = a, (b, y), c = 2, (2, 2), 2 # E: Cannot assign to final name "y" t, *y, s = u = [2, 2, 2] # E: Cannot assign to final name "y" [builtins fixtures/list.pyi] [out] [case testFinalInplaceAssign] from typing import Final class A: # no such things in fixtures def __add__(self, other: A) -> A: ... class B: def __add__(self, other: B) -> B: ... def __iadd__(self, other: B) -> B: ... a: Final = A() b: Final = B() class C: a: Final = A() b: Final = B() class D(C): pass a += A() # E: Cannot assign to final name "a" b += B() # E: Cannot assign to final name "b" D().a += A() # E: Cannot assign to final attribute "a" D().b += B() # E: Cannot assign to final attribute "b" [out] -- Overriding [case testFinalOverridingVarClassBody] from typing import Final # We use properties in this tests and below because we want to check # that any existing variable before final doesn't affect logic of # subsequent overrides but writable attributes cannot be overridden by final. class A: @property def x(self) -> int: ... @property def y(self) -> int: ... class B(A): x: Final = 1 def __init__(self) -> None: self.y: Final = 1 class C(B): x: int = 2 # E: Cannot assign to final name "x" y: int = 2 # E: Cannot assign to final name "y" x = 3 # E: Cannot assign to final name "x" y = 3 # E: Cannot assign to final name "y" class D(C): pass D.x = 4 # E: Cannot assign to final attribute "x" D.y = 4 # E: Cannot assign to final attribute "y" [builtins fixtures/property.pyi] [out] [case testFinalOverridingVarClassBodyExplicit] from typing import Final class A: @property def x(self) -> int: ... @property def y(self) -> int: ... class B(A): x: Final = 1 def __init__(self) -> None: self.y: Final = 1 class C(B): x: Final = 2 # E: Cannot override final attribute "x" (previously declared in base class "B") y: Final = 2 # E: Cannot override final attribute "y" (previously declared in base class "B") [builtins fixtures/property.pyi] [out] [case testFinalOverridingVarInit] from typing import Final class A: @property def x(self) -> int: ... @property def y(self) -> int: ... class B(A): x: Final = 1 def __init__(self) -> None: self.y: Final = 1 class C(B): def __init__(self) -> None: self.x = 2 # E: Cannot assign to final attribute "x" self.y = 2 # E: Cannot assign to final attribute "y" def meth(self) -> None: self.x = 3 # E: Cannot assign to final attribute "x" self.y = 3 # E: Cannot assign to final attribute "y" [builtins fixtures/property.pyi] [out] [case testFinalOverridingVarInit2] from typing import Final class A: @property def x(self) -> int: ... @property def y(self) -> int: ... class B(A): x: Final = 1 def __init__(self) -> None: self.y: Final = 1 class C(B): def __init__(self) -> None: self.x: Final = 2 # E: Cannot override final attribute "x" (previously declared in base class "B") self.y: Final = 2 # E: Cannot override final attribute "y" (previously declared in base class "B") [builtins fixtures/property.pyi] [out] [case testFinalOverridingVarOtherMethod] from typing import Final class A: @property def x(self) -> int: ... @property def y(self) -> int: ... class B(A): x: Final = 1 def __init__(self) -> None: self.y: Final = 1 class C(B): def meth(self) -> None: self.x: int = 2 # E: Cannot assign to final attribute "x" self.y: int = 2 # E: Cannot assign to final attribute "y" self.x = 3 # E: Cannot assign to final attribute "x" self.y = 3 # E: Cannot assign to final attribute "y" [builtins fixtures/property.pyi] [out] [case testFinalOverridingVarMultipleInheritanceClass] from typing import Final, Any class A: x: Final[Any] = 1 class B: @property def x(self) -> int: ... class C(A, B): ... class D(B, A): ... # E: Cannot override final attribute "x" (previously declared in base class "A") C.x = 3 # E: Cannot assign to final attribute "x" C().x = 4 # E: Cannot assign to final attribute "x" D().x = 4 # E: Cannot assign to final attribute "x" \ # E: Property "x" defined in "B" is read-only [builtins fixtures/property.pyi] [out] [case testFinalOverridingVarMultipleInheritanceInit] from typing import Final, Any class A: def __init__(self) -> None: self.x: Final[Any] = 1 class B: @property def x(self) -> int: ... class C(A, B): ... class D(B, A): ... # E: Cannot override final attribute "x" (previously declared in base class "A") C.x = 3 # E: Cannot access final instance attribute "x" on class object \ # E: Cannot assign to final attribute "x" C().x = 4 # E: Cannot assign to final attribute "x" [builtins fixtures/property.pyi] [out] [case testFinalOverridingVarMultipleInheritanceMixed] from typing import Final class A: x: Final = 1 class B: def __init__(self) -> None: self.x = 2 class C(A, B): ... # E: Cannot override writable attribute "x" with a final one class D(B, A): ... # E: Cannot override final attribute "x" (previously declared in base class "A") C.x = 3 # E: Cannot assign to final attribute "x" D.x = 3 # E: Cannot assign to final attribute "x" C().x = 4 # E: Cannot assign to final attribute "x" D().x = 4 # E: Cannot assign to final attribute "x" [out] [case testFinalOverridingVarWithMethod] from typing import Final, Any class A: x: Final[Any] = 1 def __init__(self) -> None: self.y: Final[Any] = 1 class B(A): def x(self) -> None: pass # E: Cannot override final attribute "x" (previously declared in base class "A") def y(self) -> None: pass # E: Cannot override final attribute "y" (previously declared in base class "A") class C(A): @property # E: Cannot override final attribute "x" (previously declared in base class "A") def x(self) -> None: pass @property # E: Cannot override final attribute "y" (previously declared in base class "A") def y(self) -> None: pass [builtins fixtures/property.pyi] [out] [case testFinalOverridingVarWithMethodClass] from typing import Final, Any class A: x: Final[Any] = 1 def __init__(self) -> None: self.y: Final[Any] = 1 class B(A): @classmethod # E: Cannot override final attribute "x" (previously declared in base class "A") def x(self) -> None: pass @classmethod # E: Cannot override final attribute "y" (previously declared in base class "A") def y(self) -> None: pass [builtins fixtures/classmethod.pyi] [out] [case testFinalOverridingMethodRegular] from typing import final class B: @final def meth(self) -> None: ... class C(B): def meth(self) -> None: ... # E: Cannot override final attribute "meth" (previously declared in base class "B") [out] [case testFinalOverridingMethodInitNew] from typing import final class B: @final def __init__(self) -> None: ... @final def __new__(cls) -> B: ... class C(B): def __init__(self) -> None: ... # E: Cannot override final attribute "__init__" (previously declared in base class "B") def __new__(cls) -> C: ... # E: Cannot override final attribute "__new__" (previously declared in base class "B") [out] [case testFinalOverridingMethodWithVar] from typing import final, Final, Any a: Any class A: @final def f(self) -> None: pass @final @property def p(self) -> int: pass class B(A): f = a # E: Cannot override final attribute "f" (previously declared in base class "A") p = a # E: Cannot override final attribute "p" (previously declared in base class "A") class C(A): f: Any # E: Cannot override final attribute "f" (previously declared in base class "A") p: Any # E: Cannot override final attribute "p" (previously declared in base class "A") class D(A): f: Final = a # E: Cannot override final attribute "f" (previously declared in base class "A") p: Final = a # E: Cannot override final attribute "p" (previously declared in base class "A") [builtins fixtures/property.pyi] [out] [case testFinalOverridingMethodWithVarImplicit] from typing import final, Any, Final a: Any class A: @final def f(self) -> None: pass @final @classmethod def c(cls) -> int: pass class B(A): def __init__(self) -> None: self.f: Any # E: Cannot assign to final attribute "f" \ # E: Cannot override final attribute "f" (previously declared in base class "A") self.c: Any # E: Cannot assign to final attribute "c" \ # E: Cannot override final attribute "c" (previously declared in base class "A") B().f = a # E: Cannot assign to final attribute "f" B().c = a # E: Cannot assign to final attribute "c" class C(A): def __init__(self) -> None: self.f: Final = a # E: Cannot override final attribute "f" (previously declared in base class "A") self.c: Final = a # E: Cannot override final attribute "c" (previously declared in base class "A") [builtins fixtures/classmethod.pyi] [out] [case testFinalCanOverrideMethodWithFinal] from typing import final class B: def meth(self) -> None: ... class C(B): @final # OK def meth(self) -> None: ... [out] [case testFinalOverridingMethodMultipleInheritance] from typing import final class A: def m(self) -> int: pass class B: @final def m(self) -> int: pass class C(A, B): pass # E: Cannot override final attribute "m" (previously declared in base class "B") class D(B, A): pass [out] [case testFinalOverridingMethodMultipleInheritanceVar] from typing import final, Any class A: m: Any class B: @final def m(self) -> int: pass class C(A, B): pass # E: Cannot override final attribute "m" (previously declared in base class "B") class D(B, A): pass # E: Cannot override writable attribute "m" with a final one [out] [case testFinalOverridingClassMethod] from typing import final class B: @classmethod @final def f(cls) -> int: pass class C(B): @classmethod # E: Cannot override final attribute "f" (previously declared in base class "B") def f(cls) -> int: pass [builtins fixtures/classmethod.pyi] [out] [case testFinalOverridingStaticMethod] from typing import final class B: @staticmethod @final def f() -> int: pass @final @staticmethod def g() -> int: pass class C(B): @staticmethod # E: Cannot override final attribute "f" (previously declared in base class "B") def f() -> int: pass @staticmethod # E: Cannot override final attribute "g" (previously declared in base class "B") def g() -> int: pass [builtins fixtures/staticmethod.pyi] [out] [case testFinalOverridingProperty] from typing import final class B: @final @property def f(self) -> int: pass @property @final def g(self) -> int: pass class C(B): @property # E: Cannot override final attribute "f" (previously declared in base class "B") def f(self) -> int: pass @property # E: Cannot override final attribute "g" (previously declared in base class "B") def g(self) -> int: pass [builtins fixtures/property.pyi] [out] [case testFinalOverridingMethodOverloads] from typing import final, overload class B: @overload def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... @final def f(self, x): pass class C(B): @overload # E: Cannot override final attribute "f" (previously declared in base class "B") def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... def f(self, x): pass [out] [case testFinalClassNoInheritance] from typing import final @final class B: ... class C(B): # E: Cannot inherit from final class "B" pass class D(C): # E: Cannot inherit from final class "B" pass [out] [case testFinalClassNoInheritanceMulti] from typing import final class A: ... @final class B: ... class C(B, A): # E: Cannot inherit from final class "B" pass class D(A, B): # E: Cannot inherit from final class "B" pass [out] [case testFinalCantOverrideWriteable] from typing import Any, Final, final class B: x: Any @property def y(self) -> Any: ... @y.setter def y(self, x: Any) -> None: ... class C(B): x: Final = 1 # E: Cannot override writable attribute "x" with a final one y: Final = 1 # E: Cannot override writable attribute "y" with a final one class D(B): @final # E: Cannot override writable attribute "x" with a final one def x(self) -> int: ... @final # E: Cannot override writable attribute "y" with a final one def y(self) -> int: ... [builtins fixtures/property.pyi] [out] [case testFinalCanUseTypingExtensions] from typing_extensions import final, Final x: Final = 1 x = 2 # E: Cannot assign to final name "x" class S: x: Final = 1 S.x = 2 # E: Cannot assign to final attribute "x" class B: @final def meth(self) -> None: ... class C(B): def meth(self) -> None: ... # E: Cannot override final attribute "meth" (previously declared in base class "B") @final class F: ... class E(F): ... # E: Cannot inherit from final class "F" [builtins fixtures/tuple.pyi] [out] [case testFinalCanUseTypingExtensionsAliased] from typing_extensions import final as f, Final as F x: F = 1 x = 2 # E: Cannot assign to final name "x" class S: x: F = 1 S.x = 2 # E: Cannot assign to final attribute "x" class B: @f def meth(self) -> None: ... class C(B): def meth(self) -> None: ... # E: Cannot override final attribute "meth" (previously declared in base class "B") @f class D(C): ... class E(D): ... # E: Cannot inherit from final class "D" [builtins fixtures/tuple.pyi] [out] [case testFinalMultiassignAllowed] from typing import Final class A: x: Final[int] y: Final[int] def __init__(self) -> None: self.x, self.y = 1, 2 class B: x: Final[int] y: Final[int] def __init__(self) -> None: self.x = self.y = 1 [out] [case testFinalInDeferredMethod] from typing import Final class A: def __init__(self) -> None: self.x = 10 # type: Final undefined # type: ignore [builtins fixtures/tuple.pyi] [case testFinalUsedWithClassVar] # flags: --python-version 3.12 from typing import Final, ClassVar class A: a: Final[ClassVar[int]] # E: Variable should not be annotated with both ClassVar and Final b: ClassVar[Final[int]] # E: Final can be only used as an outermost qualifier in a variable annotation c: ClassVar[Final] = 1 # E: Final can be only used as an outermost qualifier in a variable annotation [out] [case testFinalUsedWithClassVarAfterPy313] # flags: --python-version 3.13 from typing import Final, ClassVar class A: a: Final[ClassVar[int]] = 1 b: ClassVar[Final[int]] = 1 c: ClassVar[Final] = 1 [case testFinalClassWithAbstractMethod] from typing import final from abc import ABC, abstractmethod @final class A(ABC): # E: Final class __main__.A has abstract attributes "B" @abstractmethod def B(self) -> None: ... [case testFinalDefiningFuncWithAbstractMethod] from typing import final from abc import ABC, abstractmethod class A(ABC): @final # E: Method B is both abstract and final @abstractmethod def B(self) -> None: ... [case testFinalClassVariableRedefinitionDoesNotCrash] # This used to crash -- see #12950 from typing import Final class MyClass: a: None a: Final[int] = 1 # E: Cannot redefine an existing name as final # E: Name "a" already defined on line 5 [case testFinalOverrideAllowedForPrivate] from typing import Final, final class Parent: __foo: Final[int] = 0 @final def __bar(self) -> None: ... class Child(Parent): __foo: Final[int] = 1 @final def __bar(self) -> None: ... [case testFinalWithoutBool] from typing import Literal, final class A: pass @final class B: pass @final class C: def __len__(self) -> Literal[1]: return 1 reveal_type(A() and 42) # N: Revealed type is "Union[__main__.A, Literal[42]?]" reveal_type(B() and 42) # N: Revealed type is "Literal[42]?" reveal_type(C() and 42) # N: Revealed type is "Literal[42]?" [builtins fixtures/bool.pyi] [case testFinalWithoutBoolButWithLen] from typing import Literal, final # Per Python data model, __len__ is called if __bool__ does not exist. # In a @final class, __bool__ would not exist. @final class A: def __len__(self) -> int: ... @final class B: def __len__(self) -> Literal[1]: return 1 @final class C: def __len__(self) -> Literal[0]: return 0 reveal_type(A() and 42) # N: Revealed type is "Union[__main__.A, Literal[42]?]" reveal_type(B() and 42) # N: Revealed type is "Literal[42]?" reveal_type(C() and 42) # N: Revealed type is "__main__.C" [builtins fixtures/bool.pyi] [case testCanAccessFinalClassInit] from typing import final @final class FinalClass: pass def check_final_class() -> None: new_instance = FinalClass() new_instance.__init__() class FinalInit: @final def __init__(self) -> None: pass def check_final_init() -> None: new_instance = FinalInit() new_instance.__init__() [builtins fixtures/tuple.pyi] [case testNarrowingOfFinalPersistsInFunctions] from typing import Final, Union def _init() -> Union[int, None]: return 0 FOO: Final = _init() class Example: if FOO is not None: reveal_type(FOO) # N: Revealed type is "builtins.int" def fn(self) -> int: return FOO if FOO is not None: reveal_type(FOO) # N: Revealed type is "builtins.int" def func() -> int: return FOO [case testDisjointBase] from typing_extensions import disjoint_base @disjoint_base class Disjoint1: pass @disjoint_base class Disjoint2: pass @disjoint_base class DisjointChild(Disjoint1): pass class C1: pass class C2(Disjoint1, C1): pass class C3(DisjointChild, Disjoint1): pass class C4(Disjoint1, Disjoint2): # E: Class "C4" has incompatible disjoint bases pass class C5(Disjoint2, Disjoint1): # E: Class "C5" has incompatible disjoint bases pass class C6(Disjoint2, DisjointChild): # E: Class "C6" has incompatible disjoint bases pass class C7(DisjointChild, Disjoint2): # E: Class "C7" has incompatible disjoint bases pass class C8(DisjointChild, Disjoint1, Disjoint2): # E: Class "C8" has incompatible disjoint bases pass class C9(C2, Disjoint2): # E: Class "C9" has incompatible disjoint bases pass class C10(C3, Disjoint2): # E: Class "C10" has incompatible disjoint bases pass [builtins fixtures/tuple.pyi] [case testDisjointBaseSlots] class S1: __slots__ = ("a",) class S2: __slots__ = ("b",) class S3: __slots__ = () class S4(S1): __slots__ = ("c",) class S5(S1, S2): # E: Class "S5" has incompatible disjoint bases pass class S6(S1, S3): pass # OK class S7(S3, S1): pass # OK class S8(S4, S1): pass # OK class S9(S2, S4): # E: Class "S9" has incompatible disjoint bases pass [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-flags.test0000644000175100017510000020332715112307767020203 0ustar00runnerrunner[case testUnannotatedFunction] # flags: --disallow-untyped-defs def f(x): pass [out] main:2: error: Function is missing a type annotation [case testUnannotatedArgument] # flags: --disallow-untyped-defs def f(x) -> int: pass [out] main:2: error: Function is missing a type annotation for one or more arguments [case testNoArgumentFunction] # flags: --disallow-untyped-defs def f() -> int: pass [out] [case testUnannotatedReturn] # flags: --disallow-untyped-defs def f(x: int): pass [out] main:2: error: Function is missing a return type annotation [case testUnannotatedReturnWithFastParser] # flags: --disallow-untyped-defs def f(x: int): pass [out] main:2: error: Function is missing a return type annotation [case testLambda] # flags: --disallow-untyped-defs lambda x: x [out] [case testUntypedDef] # flags: --disallow-untyped-defs def f(): 1 + "str" [out] main:2: error: Function is missing a return type annotation main:2: note: Use "-> None" if function does not return a value [case testUnannotatedReturnWithOnlySelfArgument] # flags: --disallow-untyped-defs def f(self): pass [out] main:2: error: Function is missing a return type annotation main:2: note: Use "-> None" if function does not return a value [case testUnannotatedReturnWithNontrivialReturn] # flags: --disallow-untyped-defs def f(): return 1 [out] main:2: error: Function is missing a return type annotation [case testUntypedAsyncDef] # flags: --disallow-untyped-defs async def f(): # E: Function is missing a return type annotation \ # N: Use "-> None" if function does not return a value pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-medium.pyi] [case testAsyncUnannotatedArgument] # flags: --disallow-untyped-defs async def f(x) -> None: # E: Function is missing a type annotation for one or more arguments pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testAsyncUnannotatedReturn] # flags: --disallow-untyped-defs from typing import Any async def f(x: int): # E: Function is missing a return type annotation pass # Make sure explicit Any is allowed. async def g(x: int) -> Any: pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testDisallowUntypedDefsAndGeneric] # flags: --disallow-untyped-defs --disallow-any-generics def get_tasks(self): return 'whatever' [out] main:2: error: Function is missing a return type annotation [case testDisallowUntypedDefsUntypedDecorator] # flags: --disallow-untyped-decorators def d(p): return p @d # E: Untyped decorator makes function "f" untyped def f(i: int) -> int: return i [case testDisallowUntypedDecoratorsUnresolvedDecorator] # flags: --disallow-untyped-decorators --ignore-missing-imports from nonexistent import d @d # E: Untyped decorator makes function "f" untyped def f(i: int) -> int: return i [case testDisallowUntypedDecoratorUntypedDef] # flags: --disallow-untyped-decorators def d(p): return p @d # no error def f(): pass [case testDisallowUntypedDecoratorsPartialFunction] # flags: --disallow-untyped-decorators def d(p): return p @d # E: Untyped decorator makes function "f" untyped def f(x) -> None: pass @d # E: Untyped decorator makes function "g" untyped def g(x, y: int): pass @d # E: Untyped decorator makes function "h" untyped def h(x: int): pass [case testDisallowUntypedDecoratorsImpreciseDecorator] # flags: --disallow-untyped-decorators from typing import Any def d(p) -> Any: return p @d # no error def f() -> None: pass [case testDisallowUntypedDecoratorsMultipleDecorators] # flags: --disallow-untyped-decorators from typing import Any def d1(p): return p def d2(p): return p def d3(p) -> Any: return p @d1 # E: Untyped decorator makes function "f" untyped @d2 # E: Untyped decorator makes function "f" untyped @d3 # no error @d1 # E: Untyped decorator makes function "f" untyped def f() -> None: pass [case testDisallowUntypedDecoratorsCallableInstance] # flags: --disallow-untyped-decorators from typing import Callable class TypedDecorator: def __call__(self, c: Callable) -> Callable: return function class UntypedDecorator: def __call__(self, c): return function @TypedDecorator() def f() -> None: pass @UntypedDecorator() # E: Untyped decorator makes function "g" untyped def g() -> None: pass @TypedDecorator() @UntypedDecorator() # E: Untyped decorator makes function "h" untyped def h() -> None: pass @UntypedDecorator() # E: Untyped decorator makes function "i" untyped @TypedDecorator() def i() -> None: pass reveal_type(f) # N: Revealed type is "def (*Any, **Any) -> Any" reveal_type(g) # N: Revealed type is "Any" reveal_type(h) # N: Revealed type is "def (*Any, **Any) -> Any" reveal_type(i) # N: Revealed type is "Any" [case testDisallowUntypedDecoratorsCallableInstanceDecoratedCall] # flags: --disallow-untyped-decorators from typing import Callable, TypeVar C = TypeVar('C', bound=Callable) def typed_decorator(c: C) -> C: return c def untyped_decorator(c): return c class TypedDecorator: @typed_decorator def __call__(self, c: Callable) -> Callable: return function class UntypedDecorator1: @untyped_decorator def __call__(self, c): return function class UntypedDecorator2: @untyped_decorator # E: Untyped decorator makes function "__call__" untyped def __call__(self, c: Callable) -> Callable: return function class UntypedDecorator3: @typed_decorator @untyped_decorator # E: Untyped decorator makes function "__call__" untyped def __call__(self, c: Callable) -> Callable: return function class UntypedDecorator4: @untyped_decorator # E: Untyped decorator makes function "__call__" untyped @typed_decorator def __call__(self, c: Callable) -> Callable: return function @TypedDecorator() def f() -> None: pass @UntypedDecorator1() # E: Untyped decorator makes function "g1" untyped def g1() -> None: pass @UntypedDecorator2() # E: Untyped decorator makes function "g2" untyped def g2() -> None: pass @UntypedDecorator3() # E: Untyped decorator makes function "g3" untyped def g3() -> None: pass @UntypedDecorator4() # E: Untyped decorator makes function "g4" untyped def g4() -> None: pass reveal_type(f) # N: Revealed type is "def (*Any, **Any) -> Any" reveal_type(g1) # N: Revealed type is "Any" reveal_type(g2) # N: Revealed type is "Any" reveal_type(g3) # N: Revealed type is "Any" reveal_type(g4) # N: Revealed type is "Any" [builtins fixtures/bool.pyi] [case testDisallowUntypedDecoratorsNonCallableInstance] # flags: --disallow-untyped-decorators class Decorator: pass @Decorator() # E: "Decorator" not callable def f() -> None: pass [case testSubclassingAny] # flags: --disallow-subclassing-any from typing import Any FakeClass = None # type: Any class Foo(FakeClass): pass # E: Class cannot subclass "FakeClass" (has type "Any") [out] [case testSubclassingAnyMultipleBaseClasses] # flags: --disallow-subclassing-any from typing import Any FakeClass = None # type: Any class ActualClass: pass class Foo(ActualClass, FakeClass): pass # E: Class cannot subclass "FakeClass" (has type "Any") [out] [case testSubclassingAnySilentImports] # flags: --disallow-subclassing-any --follow-imports=skip # cmd: mypy -m main [file main.py] from ignored_module import BaseClass class Foo(BaseClass): pass [file ignored_module.py] class BaseClass: pass [out] tmp/main.py:2: error: Class cannot subclass "BaseClass" (has type "Any") [case testSubclassingAnySilentImports2] # flags: --disallow-subclassing-any --follow-imports=skip # cmd: mypy -m main [file main.py] import ignored_module class Foo(ignored_module.BaseClass): pass [file ignored_module.py] class BaseClass: pass [out] tmp/main.py:2: error: Class cannot subclass "BaseClass" (has type "Any") [case testWarnNoReturnIgnoresTrivialFunctions] # flags: --warn-no-return def f() -> int: pass def g() -> int: ... def h() -> int: """with docstring""" pass def i() -> int: """with docstring""" ... def j() -> int: u"""with unicode docstring""" pass def k() -> int: """docstring only""" [case testWarnNoReturnWorksWithAlwaysTrue] # flags: --warn-no-return PY3 = True def f() -> int: if PY3: return 0 else: return 0 [builtins fixtures/bool.pyi] [case testWarnNoReturnWorksWithAlwaysFalse] # flags: --warn-no-return PY2 = False def f() -> int: if PY2: return 0 else: return 0 [builtins fixtures/bool.pyi] [case testWarnNoReturnWorksWithMypyTrue] # flags: --warn-no-return MYPY = False def f() -> int: if MYPY: return 0 else: return 0 [builtins fixtures/bool.pyi] [case testNoReturnDisallowsReturn] # flags: --warn-no-return from typing import NoReturn def f() -> NoReturn: if bool(): return 5 # E: Return statement in function which does not return else: return # E: Return statement in function which does not return [builtins fixtures/dict.pyi] [case testNoReturnWithoutImplicitReturn] # flags: --warn-no-return from typing import NoReturn def no_return() -> NoReturn: pass def f() -> NoReturn: no_return() [builtins fixtures/dict.pyi] [case testNoReturnDisallowsImplicitReturn] # flags: --warn-no-return from typing import NoReturn def f() -> NoReturn: # E: Implicit return in function which does not return non_trivial_function = 1 [builtins fixtures/dict.pyi] [case testNoReturnImplicitReturnCheckInDeferredNode] # flags: --warn-no-return from typing import NoReturn def exit() -> NoReturn: ... def force_forward_reference() -> int: return 4 def f() -> NoReturn: x exit() x = force_forward_reference() [builtins fixtures/exception.pyi] [case testNoReturnNoWarnNoReturn] # flags: --warn-no-return from typing import NoReturn def no_return() -> NoReturn: pass def f() -> int: if bool(): return 0 else: no_return() [builtins fixtures/dict.pyi] [case testNoReturnInExpr] # flags: --warn-no-return from typing import NoReturn def no_return() -> NoReturn: pass def f() -> int: return 0 reveal_type(f() or no_return()) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [case testNoReturnVariable] # flags: --warn-no-return from typing import NoReturn x = 0 # type: NoReturn # E: Incompatible types in assignment (expression has type "int", variable has type "Never") [builtins fixtures/dict.pyi] [case testNoReturnAsync] # flags: --warn-no-return from typing import NoReturn async def f() -> NoReturn: ... async def g() -> NoReturn: await f() async def h() -> NoReturn: # E: Implicit return in function which does not return # Purposely not evaluating coroutine _ = f() [builtins fixtures/dict.pyi] [typing fixtures/typing-async.pyi] [case testNoWarnNoReturn] # flags: --no-warn-no-return import typing def implicit_optional_return(arg) -> typing.Optional[str]: if arg: return "false" def unsound_implicit_return(arg) -> str: # E: Incompatible return value type (implicitly returns "None", expected "str") if arg: return "false" def implicit_return_gen(arg) -> typing.Generator[int, None, typing.Optional[str]]: yield 1 def unsound_implicit_return_gen(arg) -> typing.Generator[int, None, str]: # E: Incompatible return value type (implicitly returns "None", expected "str") yield 1 [builtins fixtures/dict.pyi] [case testNoWarnNoReturnNoStrictOptional] # flags: --no-warn-no-return --no-strict-optional import typing def implicit_optional_return(arg) -> typing.Optional[str]: if arg: return "false" def unsound_implicit_return(arg) -> str: if arg: return "false" def implicit_return_gen(arg) -> typing.Generator[int, None, typing.Optional[str]]: yield 1 def unsound_implicit_return_gen(arg) -> typing.Generator[int, None, str]: yield 1 [builtins fixtures/dict.pyi] [case testNoReturnImportFromTyping] from typing import NoReturn def h() -> NoReturn: if bool(): return 5 # E: Return statement in function which does not return else: return # E: Return statement in function which does not return def no_return() -> NoReturn: pass def f() -> NoReturn: no_return() x: NoReturn = 0 # E: Incompatible types in assignment (expression has type "int", variable has type "Never") [builtins fixtures/dict.pyi] [case testShowErrorContextFunction] # flags: --show-error-context def f() -> None: 0 + "" [out] main: note: In function "f": main:3: error: Unsupported operand types for + ("int" and "str") [case testShowErrorContextClass] # flags: --show-error-context class A: 0 + "" [out] main: note: In class "A": main:3: error: Unsupported operand types for + ("int" and "str") [case testShowErrorContextMember] # flags: --show-error-context class A: def f(self, x: int) -> None: self.f("") [out] main: note: In member "f" of class "A": main:4: error: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [case testShowErrorContextModule] # flags: --show-error-context import m [file m.py] 0 + "" [out] main:2: note: In module imported here: tmp/m.py:1: error: Unsupported operand types for + ("int" and "str") [case testShowErrorContextTopLevel] # flags: --show-error-context def f() -> None: 0 + "" 0 + "" [out] main: note: In function "f": main:3: error: Unsupported operand types for + ("int" and "str") main: note: At top level: main:4: error: Unsupported operand types for + ("int" and "str") [case testShowErrorContextFromHere] # flags: --show-error-context import a [file a.py] import b [file b.py] 0 + "" [out] tmp/a.py:1: note: In module imported here, main:2: note: ... from here: tmp/b.py:1: error: Unsupported operand types for + ("int" and "str") [case testFollowImportsNormal] # flags: --follow-imports=normal from mod import x x + 0 x + "" # E: Unsupported operand types for + ("int" and "str") import mod mod.x + 0 mod.x + "" # E: Unsupported operand types for + ("int" and "str") mod.y # E: "object" has no attribute "y" mod + 0 # E: Unsupported left operand type for + ("object") [file mod.py] 1 + "" # E: Unsupported operand types for + ("int" and "str") x = 0 x += "" # E: Unsupported operand types for + ("int" and "str") [case testFollowImportsSilent] # flags: --follow-imports=silent from mod import x x + "" # E: Unsupported operand types for + ("int" and "str") import mod mod.x + "" # E: Unsupported operand types for + ("int" and "str") mod.y # E: "object" has no attribute "y" mod + 0 # E: Unsupported left operand type for + ("object") [file mod.py] 1 + "" x = 0 x += "" [case testFollowImportsSilentTypeIgnore] # flags: --warn-unused-ignores --follow-imports=silent import mod [file mod.py] x = 3 # type: ignore [case testFollowImportsSkip] # flags: --follow-imports=skip from mod import x reveal_type(x) # N: Revealed type is "Any" x + "" import mod reveal_type(mod.x) # N: Revealed type is "Any" [file mod.py] this deliberate syntax error will not be reported [case testFollowImportsError] # flags: --follow-imports=error from mod import x # E: Import of "mod" ignored \ # N: (Using --follow-imports=error, module not passed on command line) x + "" reveal_type(x) # N: Revealed type is "Any" import mod reveal_type(mod.x) # N: Revealed type is "Any" [file mod.py] deliberate syntax error [case testFollowImportsSelective] # flags: --config-file tmp/mypy.ini import normal import silent import skip import error # E: Import of "error" ignored \ # N: (Using --follow-imports=error, module not passed on command line) reveal_type(normal.x) # N: Revealed type is "builtins.int" reveal_type(silent.x) # N: Revealed type is "builtins.int" reveal_type(skip) # N: Revealed type is "Any" reveal_type(error) # N: Revealed type is "Any" [file mypy.ini] \[mypy] \[mypy-normal] follow_imports = normal \[mypy-silent] follow_imports = silent \[mypy-skip] follow_imports = skip \[mypy-error] follow_imports = error [file normal.py] x = 0 x += '' # E: Unsupported operand types for + ("int" and "str") [file silent.py] x = 0 x += '' [file skip.py] bla bla [file error.py] bla bla [case testIgnoreMissingImportsFalse] from mod import x [out] main:1: error: Cannot find implementation or library stub for module named "mod" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testIgnoreMissingImportsTrue] # flags: --ignore-missing-imports from mod import x [out] [case testNoConfigFile] # flags: --config-file= # type: ignore [file mypy.ini] \[mypy] warn_unused_ignores = True [out] [case testPerFileIncompleteDefsBasic] # flags: --config-file tmp/mypy.ini import standard, incomplete [file standard.py] def incomplete(x) -> int: return 0 [file incomplete.py] def incomplete(x) -> int: # E: Function is missing a type annotation for one or more arguments return 0 [file mypy.ini] \[mypy] disallow_incomplete_defs = False \[mypy-incomplete] disallow_incomplete_defs = True [case testPerFileIncompleteDefsBasicPyProjectTOML] # flags: --config-file tmp/pyproject.toml import standard, incomplete [file standard.py] def incomplete(x) -> int: return 0 [file incomplete.py] def incomplete(x) -> int: # E: Function is missing a type annotation for one or more arguments return 0 [file pyproject.toml] \[tool.mypy] disallow_incomplete_defs = false \[[tool.mypy.overrides]] module = 'incomplete' disallow_incomplete_defs = true [case testPerFileStrictOptionalBasic] # flags: --config-file tmp/mypy.ini import standard, optional [file standard.py] x = 0 if int(): x = None [file optional.py] x = 0 if int(): x = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") [file mypy.ini] \[mypy] strict_optional = False \[mypy-optional] strict_optional = True [case testPerFileStrictOptionalBasicPyProjectTOML] # flags: --config-file tmp/pyproject.toml import standard, optional [file standard.py] x = 0 if int(): x = None [file optional.py] x = 0 if int(): x = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") [file pyproject.toml] \[tool.mypy] strict_optional = false \[[tool.mypy.overrides]] module = 'optional' strict_optional = true [case testPerFileStrictOptionalBasicImportStandard] # flags: --config-file tmp/mypy.ini import standard, optional [file standard.py] from typing import Optional def f(x: int) -> None: pass an_int = 0 # type: int optional_int = None # type: Optional[int] f(an_int) # ints can be used as ints f(optional_int) # optional ints can be used as ints in this file [file optional.py] import standard def f(x: int) -> None: pass standard.an_int = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") standard.optional_int = None # OK -- explicitly declared as optional f(standard.an_int) # ints can be used as ints f(standard.optional_int) # E: Argument 1 to "f" has incompatible type "None"; expected "int" [file mypy.ini] \[mypy] strict_optional = False \[mypy-optional] strict_optional = True [case testPerFileStrictOptionalBasicImportStandardPyProjectTOML] # flags: --config-file tmp/pyproject.toml import standard, optional [file standard.py] from typing import Optional def f(x: int) -> None: pass an_int = 0 # type: int optional_int = None # type: Optional[int] f(an_int) # ints can be used as ints f(optional_int) # optional ints can be used as ints in this file [file optional.py] import standard def f(x: int) -> None: pass standard.an_int = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") standard.optional_int = None # OK -- explicitly declared as optional f(standard.an_int) # ints can be used as ints f(standard.optional_int) # E: Argument 1 to "f" has incompatible type "None"; expected "int" [file pyproject.toml] \[tool.mypy] strict_optional = false \[[tool.mypy.overrides]] module = 'optional' strict_optional = true [case testPerFileStrictOptionalBasicImportOptional] # flags: --config-file tmp/mypy.ini import standard, optional [file standard.py] import optional def f(x: int) -> None: pass f(optional.x) # OK -- in non-strict Optional context f(optional.y) # OK -- in non-strict Optional context [file optional.py] from typing import Optional def f(x: int) -> None: pass x = 0 # type: Optional[int] y = None # type: None [file mypy.ini] \[mypy] strict_optional = False \[mypy-optional] strict_optional = True [case testPerFileStrictOptionalBasicImportOptionalPyProjectTOML] # flags: --config-file tmp/pyproject.toml import standard, optional [file standard.py] import optional def f(x: int) -> None: pass f(optional.x) # OK -- in non-strict Optional context f(optional.y) # OK -- in non-strict Optional context [file optional.py] from typing import Optional def f(x: int) -> None: pass x = 0 # type: Optional[int] y = None # type: None [file pyproject.toml] \[tool.mypy] strict_optional = false \[[tool.mypy.overrides]] module = 'optional' strict_optional = true [case testPerFileStrictOptionalListItemImportOptional] # flags: --config-file tmp/mypy.ini import standard, optional [file standard.py] import optional from typing import List def f(x: List[int]) -> None: pass f(optional.x) # OK -- in non-strict Optional context f(optional.y) # OK -- in non-strict Optional context [file optional.py] from typing import Optional, List def f(x: List[int]) -> None: pass x = [] # type: List[Optional[int]] y = [] # type: List[int] [file mypy.ini] \[mypy] strict_optional = False \[mypy-optional] strict_optional = True [builtins fixtures/list.pyi] [case testPerFileStrictOptionalListItemImportOptionalPyProjectTOML] # flags: --config-file tmp/pyproject.toml import standard, optional [file standard.py] import optional from typing import List def f(x: List[int]) -> None: pass f(optional.x) # OK -- in non-strict Optional context f(optional.y) # OK -- in non-strict Optional context [file optional.py] from typing import Optional, List def f(x: List[int]) -> None: pass x = [] # type: List[Optional[int]] y = [] # type: List[int] [file pyproject.toml] \[tool.mypy] strict_optional = false \[[tool.mypy.overrides]] module = 'optional' strict_optional = true [builtins fixtures/list.pyi] [case testPerFileStrictOptionalComplicatedList] from typing import Union, Optional, List def f() -> None: x = [] # type: Union[List[Optional[str]], str] [builtins fixtures/list.pyi] [case testPerFileStrictOptionalNoneArguments] # flags: --config-file tmp/mypy.ini import standard, optional [file standard.py] def f(x: int = None) -> None: pass [file optional.py] import standard def f(x: int = None) -> None: pass standard.f(None) [file mypy.ini] \[mypy] strict_optional = False implicit_optional = true \[mypy-optional] strict_optional = True [case testPerFileStrictOptionalNoneArgumentsPyProjectTOML] # flags: --config-file tmp/pyproject.toml import standard, optional [file standard.py] def f(x: int = None) -> None: pass [file optional.py] import standard def f(x: int = None) -> None: pass standard.f(None) [file pyproject.toml] \[tool.mypy] strict_optional = false implicit_optional = true \[[tool.mypy.overrides]] module = 'optional' strict_optional = true [case testSilentMissingImportsOff] -- ignore_missing_imports is False by default. import missing # E: Cannot find implementation or library stub for module named "missing" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports reveal_type(missing.x) # N: Revealed type is "Any" [case testSilentMissingImportsOn] # flags: --ignore-missing-imports import missing reveal_type(missing.x) # N: Revealed type is "Any" [case testDisallowImplicitTypesIgnoreMissingTypes] # flags: --ignore-missing-imports --disallow-any-unimported from missing import MyType def f(x: MyType) -> None: # E: Argument 1 to "f" becomes "Any" due to an unfollowed import pass [case testDisallowImplicitTypes] # flags: --disallow-any-unimported from missing import MyType def f(x: MyType) -> None: pass [out] main:2: error: Cannot find implementation or library stub for module named "missing" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:4: error: Argument 1 to "f" becomes "Any" due to an unfollowed import [case testDisallowImplicitAnyVariableDefinition] # flags: --ignore-missing-imports --disallow-any-unimported from missing import Unchecked t: Unchecked = 12 # E: Type of variable becomes "Any" due to an unfollowed import [case testAllowImplicitAnyVariableDefinition] # flags: --ignore-missing-imports --allow-any-unimported from missing import Unchecked t: Unchecked = 12 [case testDisallowImplicitAnyGeneric] # flags: --ignore-missing-imports --disallow-any-unimported from missing import Unchecked from typing import List def foo(l: List[Unchecked]) -> List[Unchecked]: t = [] # type: List[Unchecked] return l [builtins fixtures/list.pyi] [out] main:5: error: Return type becomes "list[Any]" due to an unfollowed import main:5: error: Argument 1 to "foo" becomes "list[Any]" due to an unfollowed import main:6: error: Type of variable becomes "list[Any]" due to an unfollowed import [case testDisallowImplicitAnyInherit] # flags: --ignore-missing-imports --disallow-any-unimported from missing import Unchecked from typing import List class C(Unchecked): # E: Base type Unchecked becomes "Any" due to an unfollowed import pass class A(List[Unchecked]): # E: Base type becomes "list[Any]" due to an unfollowed import pass [builtins fixtures/list.pyi] [case testDisallowImplicitAnyAlias] # flags: --ignore-missing-imports --disallow-any-unimported from missing import Unchecked from typing import List X = List[Unchecked] # E: Type alias target becomes "list[Any]" due to an unfollowed import def f(x: X) -> None: pass [builtins fixtures/list.pyi] [case testDisallowImplicitAnyCast] # flags: --ignore-missing-imports --disallow-any-unimported from missing import Unchecked from typing import List, cast foo = [1, 2, 3] cast(List[Unchecked], foo) # E: Target type of cast becomes "list[Any]" due to an unfollowed import cast(Unchecked, foo) # E: Target type of cast becomes "Any" due to an unfollowed import [builtins fixtures/list.pyi] [case testDisallowImplicitAnyNamedTuple] # flags: --ignore-missing-imports --disallow-any-unimported from typing import List, NamedTuple from missing import Unchecked Point = NamedTuple('Point', [('x', List[Unchecked]), ('y', Unchecked)]) [builtins fixtures/list.pyi] [out] main:5: error: NamedTuple type becomes "tuple[list[Any], Any]" due to an unfollowed import [case testDisallowImplicitAnyTypeVarConstraints] # flags: --ignore-missing-imports --disallow-any-unimported from typing import List, NamedTuple, TypeVar, Any from missing import Unchecked T = TypeVar('T', Unchecked, List[Unchecked], str) [builtins fixtures/list.pyi] [out] main:5: error: Constraint 1 becomes "Any" due to an unfollowed import main:5: error: Constraint 2 becomes "list[Any]" due to an unfollowed import [case testDisallowImplicitAnyNewType] # flags: --ignore-missing-imports --disallow-any-unimported from typing import NewType, List from missing import Unchecked Baz = NewType('Baz', Unchecked) # E: Argument 2 to NewType(...) must be subclassable (got "Any") Bar = NewType('Bar', List[Unchecked]) # E: Argument 2 to NewType(...) becomes "list[Any]" due to an unfollowed import [builtins fixtures/list.pyi] [case testDisallowImplicitAnyCallableAndTuple] # flags: --ignore-missing-imports --disallow-any-unimported from typing import Callable, Tuple from missing import Unchecked def foo(f: Callable[[], Unchecked]) -> Tuple[Unchecked]: return f() [builtins fixtures/list.pyi] [out] main:5: error: Return type becomes "tuple[Any]" due to an unfollowed import main:5: error: Argument 1 to "foo" becomes "Callable[[], Any]" due to an unfollowed import [case testDisallowImplicitAnySubclassingExplicitAny] # flags: --ignore-missing-imports --disallow-any-unimported --disallow-subclassing-any from typing import Any class C(Any): # E: Class cannot subclass "Any" (has type "Any") pass [case testDisallowImplicitAnyVarDeclaration] # flags: --ignore-missing-imports --disallow-any-unimported from missing import Unchecked foo: Unchecked = "" foo = "" x, y = 1, 2 # type: Unchecked, Unchecked [builtins fixtures/tuple.pyi] [out] main:4: error: Type of variable becomes "Any" due to an unfollowed import main:6: error: A type on this line becomes "Any" due to an unfollowed import [case testDisallowUnimportedAnyTypedDictSimple] # flags: --ignore-missing-imports --disallow-any-unimported from typing import TypedDict from x import Unchecked M = TypedDict('M', {'x': str, 'y': Unchecked}) # E: Type of a TypedDict key becomes "Any" due to an unfollowed import def f(m: M) -> M: pass # no error [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testDisallowUnimportedAnyTypedDictGeneric] # flags: --ignore-missing-imports --disallow-any-unimported from typing import List, TypedDict from x import Unchecked M = TypedDict('M', {'x': str, 'y': List[Unchecked]}) # E: Type of a TypedDict key becomes "list[Any]" due to an unfollowed import def f(m: M) -> M: pass # no error [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testDisallowAnyDecoratedUnannotatedDecorator] # flags: --disallow-any-decorated from typing import Any def d(f): return f @d def f(x: Any) -> Any: # E: Function is untyped after decorator transformation pass @d def h(x): # E: Function is untyped after decorator transformation pass [builtins fixtures/list.pyi] [case testDisallowAnyDecoratedUnannotatedDecoratorDeferred1] # flags: --disallow-any-decorated from typing import Callable def d(f: Callable[[int], None]) -> Callable[[int], None]: return f def wrapper() -> None: if c: @d def h(x): pass c = [1] [builtins fixtures/list.pyi] [case testDisallowAnyDecoratedUnannotatedDecoratorDeferred2] # flags: --disallow-any-decorated from typing import Callable def d(f: Callable[[int], None]) -> Callable[[int], None]: return f c = 1 # no deferral - check that the previous testcase is valid def wrapper() -> None: if c: @d def h(x): pass [builtins fixtures/list.pyi] [case testDisallowAnyDecoratedErrorIsReportedOnlyOnce] # flags: --disallow-any-decorated def d(f): return f def d2(f): return f @d @d2 @d def f(x: int) -> None: pass # E: Function is untyped after decorator transformation [case testDisallowAnyDecoratedReturnAny] # flags: --disallow-any-decorated from typing import Any def d(f) -> Any: return f @d def f() -> None: pass # E: Function is untyped after decorator transformation [builtins fixtures/list.pyi] [case testDisallowAnyDecoratedReturnCallable] # flags: --disallow-any-decorated from typing import Any, Callable def d(f) -> Callable[..., None]: return f @d def g(i: int, s: str) -> None: pass # E: Type of decorated function contains type "Any" ("Callable[..., None]") [builtins fixtures/list.pyi] [case testDisallowAnyDecoratedNonexistentDecorator] # flags: --disallow-any-decorated --ignore-missing-imports from nonexistent import d @d def f() -> None: pass # E: Function is untyped after decorator transformation [builtins fixtures/list.pyi] [case testDisallowAnyDecoratedPartlyTypedCallable] # flags: --disallow-any-decorated --ignore-missing-imports from typing import Callable, Any, List def d(f) -> Callable[[int, Any], Any]: pass def d2(f) -> Callable[[int], List[Any]]: pass def d3(f) -> Callable[[Any], List[str]]: pass @d def f(i: int, s: str) -> None: # E: Type of decorated function contains type "Any" ("Callable[[int, Any], Any]") pass @d2 def g(i: int) -> None: # E: Type of decorated function contains type "Any" ("Callable[[int], list[Any]]") pass @d3 def h(i: int) -> None: # E: Type of decorated function contains type "Any" ("Callable[[Any], list[str]]") pass [builtins fixtures/list.pyi] [case testDisallowAnyDecoratedReturnsCallableNoParams] # flags: --disallow-any-decorated from typing import Callable def d(p) -> Callable[[], int]: return p @d def f(i): return i [builtins fixtures/list.pyi] [case testDisallowAnyDecoratedDecoratorReturnsNonCallable] # flags: --disallow-any-decorated def d(p) -> int: return p(0) @d def f(i): return i [case testDisallowAnyDecoratedUntypedUndecoratedFunction] # flags: --disallow-any-decorated from typing import Callable def f(i): # no error return i [case testDisallowAnyDecoratedTwoDecorators] # flags: --disallow-any-decorated from typing import Callable def typed_dec(f) -> Callable[[], int]: pass def untyped_dec(f): pass @typed_dec @untyped_dec def f(): # no error return i @untyped_dec @typed_dec def g(): # E: Function is untyped after decorator transformation return i [case testDisallowAnyExprSimple] # flags: --disallow-any-expr from typing import Any def f(s): yield s def g(x) -> Any: yield x # E: Expression has type "Any" x = f(0) # E: Expression has type "Any" for x in f(0): # E: Expression has type "Any" g(x) # E: Expression has type "Any" l = [1, 2, 3] l[f(0)] # E: Expression has type "Any" f(l) f(f(0)) # E: Expression has type "Any" [builtins fixtures/list.pyi] [case testDisallowAnyExprUnannotatedFunction] # flags: --disallow-any-expr def g(s): return s g(0) w: int = g(1) [case testDisallowAnyExprExplicitAnyParam] # flags: --disallow-any-expr from typing import Any, List def f(s: Any) -> None: pass def g(s: List[Any]) -> None: pass f(0) # type of list below is inferred with expected type of "list[Any]", so that becomes it's type # instead of list[str] g(['']) # E: Expression type contains "Any" (has type "list[Any]") [builtins fixtures/list.pyi] [case testDisallowAnyExprAllowsAnyInCast] # flags: --disallow-any-expr from typing import Any, cast class Foo: g: Any = 2 z = cast(int, Foo().g) m = cast(Any, Foo().g) # E: Expression has type "Any" k = Foo.g # E: Expression has type "Any" [builtins fixtures/list.pyi] [case testDisallowAnyExprAllowsAnyInVariableAssignmentWithExplicitTypeAnnotation] # flags: --disallow-any-expr from typing import Any class Foo: g: Any = 2 z: int = Foo().g x = Foo().g # type: int m: Any = Foo().g # E: Expression has type "Any" n = Foo().g # type: Any # E: Expression has type "Any" [builtins fixtures/list.pyi] [case testDisallowAnyExprGeneric] # flags: --disallow-any-expr from typing import List l: List = [] l.append(1) # E: Expression type contains "Any" (has type "list[Any]") k = l[0] # E: Expression type contains "Any" (has type "list[Any]") # E: Expression has type "Any" [builtins fixtures/list.pyi] [case testDisallowAnyExprTypeVar] # flags: --disallow-any-expr from typing import TypeVar T = TypeVar('T') # no error def f(t: T) -> T: return t [builtins fixtures/list.pyi] [case testDisallowAnyExprNamedTuple] # flags: --disallow-any-expr from typing import NamedTuple Point = NamedTuple('Point', [('x', int), ('y', int)]) # no error def origin() -> Point: return Point(x=0, y=0) [builtins fixtures/list.pyi] [case testDisallowAnyExprNewType] # flags: --disallow-any-expr from typing import NewType NT = NewType('NT', int) # no error def nt() -> NT: return NT(1) [builtins fixtures/list.pyi] [case testDisallowAnyExprEnum] # flags: --disallow-any-expr from enum import Enum E = Enum('E', '1, 2, 3') # no error def k(s: E) -> None: pass [builtins fixtures/list.pyi] [case testDisallowAnyExprTypedDict] # flags: --disallow-any-expr from typing import TypedDict Movie = TypedDict('Movie', {'name': str, 'year': int}) def g(m: Movie) -> Movie: return m [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testDisallowIncompleteDefs] # flags: --disallow-incomplete-defs def f(i: int): # E: Function is missing a return type annotation pass def g(i) -> None: # E: Function is missing a type annotation for one or more arguments pass def h(i: int) -> int: # no error return i def i() -> None: # no error pass [case testDisallowIncompleteDefsNoReturn] # flags: --disallow-incomplete-defs --disallow-untyped-defs def f(i: int): # E: Function is missing a return type annotation pass [case testDisallowIncompleteDefsSelf] # flags: --disallow-incomplete-defs class C: def foo(self) -> None: # no error pass [case testDisallowIncompleteDefsPartiallyAnnotatedParams] # flags: --disallow-incomplete-defs def f(i: int, s): pass [out] main:3: error: Function is missing a return type annotation main:3: error: Function is missing a type annotation for one or more arguments [case testDisallowIncompleteDefsAttrsNoAnnotations] # flags: --disallow-incomplete-defs import attrs @attrs.define class Unannotated: foo = attrs.field() [builtins fixtures/plugin_attrs.pyi] [case testDisallowIncompleteDefsAttrsWithAnnotations] # flags: --disallow-incomplete-defs import attrs @attrs.define class Annotated: bar: int = attrs.field() [builtins fixtures/plugin_attrs.pyi] [case testDisallowIncompleteDefsAttrsPartialAnnotations] # flags: --disallow-incomplete-defs import attrs @attrs.define class PartiallyAnnotated: # E: Function is missing a type annotation for one or more arguments bar: int = attrs.field() baz = attrs.field() [builtins fixtures/plugin_attrs.pyi] [case testAlwaysTrueAlwaysFalseFlags] # flags: --always-true=YOLO --always-true=YOLO1 --always-false=BLAH1 --always-false BLAH --ignore-missing-imports from somewhere import YOLO, BLAH if not YOLO: 1+() if BLAH: 1+() [builtins fixtures/bool.pyi] [case testAlwaysTrueAlwaysFalseConfigFile] # flags: --config-file tmp/mypy.ini from somewhere import YOLO, BLAH if not YOLO: 1+() if BLAH: 1+() [file mypy.ini] \[mypy] ignore_missing_imports = True always_true = YOLO1, YOLO always_false = BLAH, BLAH1 [builtins fixtures/bool.pyi] [case testAlwaysTrueAlwaysFalseConfigFilePyProjectTOML] # flags: --config-file tmp/pyproject.toml from somewhere import YOLO, BLAH if not YOLO: 1+() if BLAH: 1+() [file pyproject.toml] \[tool.mypy] ignore_missing_imports = true always_true = ['YOLO1', 'YOLO'] always_false = ['BLAH', 'BLAH1'] [builtins fixtures/bool.pyi] [case testDisableErrorCodeConfigFile] # flags: --config-file tmp/mypy.ini --disallow-untyped-defs import foo def bar(): pass [file mypy.ini] \[mypy] disable_error_code = import, no-untyped-def [case testDisableErrorCodeConfigFilePyProjectTOML] # flags: --config-file tmp/pyproject.toml --disallow-untyped-defs import foo def bar(): pass [file pyproject.toml] \[tool.mypy] disable_error_code = ['import', 'no-untyped-def'] [case testCheckDisallowAnyGenericsNamedTuple] # flags: --disallow-any-generics from typing import NamedTuple N = NamedTuple('N', [('x', N)]) # type: ignore n: N [builtins fixtures/tuple.pyi] [out] [case testCheckDisallowAnyGenericsTypedDict] # flags: --disallow-any-generics from typing import Dict, Any, Optional, TypedDict VarsDict = Dict[str, Any] HostsDict = Dict[str, Optional[VarsDict]] GroupDataDict = TypedDict( "GroupDataDict", {"children": "GroupsDict", # type: ignore "vars": VarsDict, "hosts": HostsDict}, total=False ) GroupsDict = Dict[str, GroupDataDict] # type: ignore [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCheckDisallowAnyGenericsStubOnly] # flags: --disallow-any-generics from asyncio import Future from queue import Queue x: Future[str] y: Queue[int] p: Future # E: Missing type parameters for generic type "Future" q: Queue # E: Missing type parameters for generic type "Queue" [file asyncio/__init__.pyi] from asyncio.futures import Future as Future [file asyncio/futures.pyi] from typing import TypeVar, Generic _T = TypeVar('_T') class Future(Generic[_T]): ... [file queue.pyi] from typing import TypeVar, Generic _T = TypeVar('_T') class Queue(Generic[_T]): ... [builtins fixtures/async_await.pyi] [typing fixtures/typing-full.pyi] [case testDisallowAnyGenericsBuiltinTuple] # flags: --disallow-any-generics s = tuple([1, 2, 3]) def f(t: tuple) -> None: pass # E: Missing type parameters for generic type "tuple" [builtins fixtures/tuple.pyi] [case testDisallowAnyGenericsBuiltinList] # flags: --disallow-any-generics l = list([1, 2, 3]) def f(t: list) -> None: pass # E: Missing type parameters for generic type "list" [builtins fixtures/list.pyi] [case testDisallowAnyGenericsBuiltinSet] # flags: --disallow-any-generics l = set({1, 2, 3}) def f(s: set) -> None: pass # E: Missing type parameters for generic type "set" [builtins fixtures/set.pyi] [case testDisallowAnyGenericsBuiltinDict] # flags: --disallow-any-generics l = dict([('a', 1)]) def f(d: dict) -> None: pass # E: Missing type parameters for generic type "dict" [builtins fixtures/dict.pyi] [case testCheckDefaultAllowAnyGeneric] from typing import TypeVar, Callable T = TypeVar('T') C = Callable[[], T] def f(c: C): pass [out] [case testCheckAllowAnyGenericAnyGeneric] # flags: --strict --allow-any-generics from typing import TypeVar, Callable T = TypeVar('T') C = Callable[[], T] def f(c: C) -> None: pass [out] [case testCheckDisallowAnyGenericsAnyGeneric] # flags: --disallow-any-generics from typing import TypeVar, Callable T = TypeVar('T') C = Callable[[], T] def f(c: C): # E: Missing type parameters for generic type "C" pass [out] [case testStrictAnyGeneric] # flags: --strict from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass def f(c: A) -> None: # E: Missing type parameters for generic type "A" pass [out] [case testStrictInConfigAnyGeneric] # flags: --config-file tmp/mypy.ini from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass def f(c: A) -> None: # E: Missing type parameters for generic type "A" pass [file mypy.ini] \[mypy] strict = True [out] [case testStrictInConfigAnyGenericPyProjectTOML] # flags: --config-file tmp/pyproject.toml from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass def f(c: A) -> None: # E: Missing type parameters for generic type "A" pass [file pyproject.toml] \[tool.mypy] strict = true [out] [case testStrictFalseInConfigAnyGeneric] # flags: --config-file tmp/mypy.ini from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass def f(c: A) -> None: pass [file mypy.ini] \[mypy] strict = False [out] [case testStrictFalseInConfigAnyGenericPyProjectTOML] # flags: --config-file tmp/pyproject.toml from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass def f(c: A) -> None: pass [file pyproject.toml] \[tool.mypy] strict = false [out] [case testStrictAndStrictEquality] # flags: --strict x = 0 y = '' if x == y: # E: Non-overlapping equality check (left operand type: "int", right operand type: "str") int() [builtins fixtures/ops.pyi] [case testStrictEqualityPerFile] # flags: --config-file tmp/mypy.ini import b 42 == 'no' # E: Non-overlapping equality check (left operand type: "Literal[42]", right operand type: "Literal['no']") [file b.py] 42 == 'no' [file mypy.ini] \[mypy] strict_equality = True \[mypy-b] strict_equality = False [builtins fixtures/bool.pyi] [case testStrictEqualityPerFilePyProjectTOML] # flags: --config-file tmp/pyproject.toml import b 42 == 'no' # E: Non-overlapping equality check (left operand type: "Literal[42]", right operand type: "Literal['no']") [file b.py] 42 == 'no' [file pyproject.toml] \[tool.mypy] strict_equality = true \[[tool.mypy.overrides]] module = 'b' strict_equality = false [builtins fixtures/bool.pyi] [case testNoImplicitReexport] # flags: --no-implicit-reexport --show-error-codes from other_module_2 import a # E: Module "other_module_2" does not explicitly export attribute "a" [attr-defined] reveal_type(a) # N: Revealed type is "builtins.int" import other_module_2 reveal_type(other_module_2.a) # E: Module "other_module_2" does not explicitly export attribute "a" [attr-defined] \ # N: Revealed type is "builtins.int" from other_module_2 import b # E: Module "other_module_2" does not explicitly export attribute "b" [attr-defined] reveal_type(b) # N: Revealed type is "def (a: builtins.int) -> builtins.str" import other_module_2 reveal_type(other_module_2.b) # E: Module "other_module_2" does not explicitly export attribute "b" [attr-defined] \ # N: Revealed type is "def (a: builtins.int) -> builtins.str" [file other_module_1.py] a = 5 def b(a: int) -> str: ... [file other_module_2.py] from other_module_1 import a, b [builtins fixtures/module.pyi] [case testNoImplicitReexportRespectsAll] # flags: --no-implicit-reexport from other_module_2 import a from other_module_2 import b [file other_module_1.py] a = 5 b = 6 [file other_module_2.py] from other_module_1 import a, b __all__ = ('b',) [builtins fixtures/tuple.pyi] [out] main:2: error: Module "other_module_2" does not explicitly export attribute "a" [case testNoImplicitReexportStarConsideredExplicit] # flags: --no-implicit-reexport from other_module_2 import a from other_module_2 import b [file other_module_1.py] a = 5 b = 6 [file other_module_2.py] from other_module_1 import * __all__ = ('b',) [builtins fixtures/tuple.pyi] [case testNoImplicitReexportGetAttr] # flags: --no-implicit-reexport from other_module_2 import a # E: Module "other_module_2" does not explicitly export attribute "a" reveal_type(a) # N: Revealed type is "builtins.int" from other_module_2 import b # E: Module "other_module_2" does not explicitly export attribute "b" reveal_type(b) # N: Revealed type is "builtins.str" [file other_module_1.py] b: str = "asdf" def __getattr__(name: str) -> int: ... [file other_module_2.py] from other_module_1 import a, b def __getattr__(name: str) -> bytes: ... [builtins fixtures/tuple.pyi] [case textNoImplicitReexportSuggestions] # flags: --no-implicit-reexport from other_module_2 import attr_1 [file other_module_1.py] attr_1 = 5 attr_2 = 6 [file other_module_2.py] from other_module_1 import attr_1, attr_2 [out] main:2: error: Module "other_module_2" does not explicitly export attribute "attr_1" [case testNoImplicitReexportMypyIni] # flags: --config-file tmp/mypy.ini from other_module_2 import a [file other_module_1.py] a = 5 [file other_module_2.py] from other_module_1 import a [file mypy.ini] \[mypy] implicit_reexport = True \[mypy-other_module_2] implicit_reexport = False [out] main:2: error: Module "other_module_2" does not explicitly export attribute "a" [case testNoImplicitReexportPyProjectTOML] # flags: --config-file tmp/pyproject.toml from other_module_2 import a [file other_module_1.py] a = 5 [file other_module_2.py] from other_module_1 import a [file pyproject.toml] \[tool.mypy] implicit_reexport = true \[[tool.mypy.overrides]] module = 'other_module_2' implicit_reexport = false [out] main:2: error: Module "other_module_2" does not explicitly export attribute "a" [case testImplicitAnyOKForNoArgs] # flags: --disallow-any-generics --show-column-numbers from typing import List A = List # OK B = List[A] # E:10: Missing type parameters for generic type "A" x: A # E:4: Missing type parameters for generic type "A" [builtins fixtures/list.pyi] [case testDisallowAnyExplicitDefSignature] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List def f(x: Any) -> None: # E: Explicit "Any" is not allowed [explicit-any] pass def g() -> Any: # E: Explicit "Any" is not allowed [explicit-any] pass def h() -> List[Any]: # E: Explicit "Any" is not allowed [explicit-any] pass [builtins fixtures/list.pyi] [case testDisallowAnyExplicitVarDeclaration] # flags: --disallow-any-explicit --show-error-codes from typing import Any v: Any = '' # E: Explicit "Any" is not allowed [explicit-any] w = '' # type: Any # E: Explicit "Any" is not allowed [explicit-any] class X: y = '' # type: Any # E: Explicit "Any" is not allowed [explicit-any] [case testDisallowAnyExplicitGenericVarDeclaration] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List v: List[Any] = [] # E: Explicit "Any" is not allowed [explicit-any] [builtins fixtures/list.pyi] [case testDisallowAnyExplicitInheritance] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List class C(Any): # E: Explicit "Any" is not allowed [explicit-any] pass class D(List[Any]): # E: Explicit "Any" is not allowed [explicit-any] pass [builtins fixtures/list.pyi] [case testDisallowAnyExplicitAlias] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List X = Any # E: Explicit "Any" is not allowed [explicit-any] Y = List[Any] # E: Explicit "Any" is not allowed [explicit-any] def foo(x: X) -> Y: # no error x.nonexistent() # no error return x [builtins fixtures/list.pyi] [case testDisallowAnyExplicitGenericAlias] # flags: --disallow-any-explicit --show-error-codes from typing import Any, TypeVar, Tuple T = TypeVar('T') TupleAny = Tuple[Any, T] # E: Explicit "Any" is not allowed [explicit-any] def foo(x: TupleAny[str]) -> None: # no error pass def goo(x: TupleAny[Any]) -> None: # E: Explicit "Any" is not allowed [explicit-any] pass [builtins fixtures/tuple.pyi] [case testDisallowAnyExplicitCast] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List, cast x = 1 y = cast(Any, x) # E: Explicit "Any" is not allowed [explicit-any] z = cast(List[Any], x) # E: Explicit "Any" is not allowed [explicit-any] [builtins fixtures/list.pyi] [case testDisallowAnyExplicitNamedTuple] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List, NamedTuple Point = NamedTuple('Point', [('x', List[Any]), ('y', Any)]) # E: Explicit "Any" is not allowed [explicit-any] [builtins fixtures/list.pyi] [case testDisallowAnyExplicitTypeVarConstraint] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List, TypeVar T = TypeVar('T', Any, List[Any]) # E: Explicit "Any" is not allowed [explicit-any] [builtins fixtures/list.pyi] [case testDisallowAnyExplicitNewType] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List, NewType # this error does not come from `--disallow-any-explicit` flag Baz = NewType('Baz', Any) # E: Argument 2 to NewType(...) must be subclassable (got "Any") [valid-newtype] Bar = NewType('Bar', List[Any]) # E: Explicit "Any" is not allowed [explicit-any] [builtins fixtures/list.pyi] [case testDisallowAnyExplicitTypedDictSimple] # flags: --disallow-any-explicit --show-error-codes from typing import Any, TypedDict M = TypedDict('M', {'x': str, 'y': Any}) # E: Explicit "Any" is not allowed [explicit-any] M(x='x', y=2) # no error def f(m: M) -> None: pass # no error [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testDisallowAnyExplicitTypedDictGeneric] # flags: --disallow-any-explicit --show-error-codes from typing import Any, List, TypedDict M = TypedDict('M', {'x': str, 'y': List[Any]}) # E: Explicit "Any" is not allowed [explicit-any] N = TypedDict('N', {'x': str, 'y': List}) # no error [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testDisallowAnyGenericsTupleNoTypeParams] # flags: --disallow-any-generics from typing import Tuple def f(s: Tuple) -> None: pass # E: Missing type parameters for generic type "Tuple" def g(s) -> Tuple: # E: Missing type parameters for generic type "Tuple" return 'a', 'b' def h(s) -> Tuple[str, str]: # no error return 'a', 'b' x: Tuple = () # E: Missing type parameters for generic type "Tuple" [builtins fixtures/tuple.pyi] [case testDisallowAnyGenericsTupleWithNoTypeParamsGeneric] # flags: --disallow-any-generics from typing import Tuple, List def f(s: Tuple) -> None: pass # E: Missing type parameters for generic type "Tuple" def g(s: List[Tuple]) -> None: pass # E: Missing type parameters for generic type "Tuple" def h(s: List[Tuple[str, str]]) -> None: pass # no error [builtins fixtures/list.pyi] [case testDisallowAnyGenericsTypeType] # flags: --disallow-any-generics from typing import Type, Any def f(s: Type[Any]) -> None: pass # no error def g(s) -> Type: # E: Missing type parameters for generic type "Type" return s def h(s) -> Type[str]: # no error return s x: Type = g(0) # E: Missing type parameters for generic type "Type" [case testDisallowAnyGenericsAliasGenericType] # flags: --disallow-any-generics from typing import List L = List # no error def f(l: L) -> None: pass # E: Missing type parameters for generic type "L" def g(l: L[str]) -> None: pass # no error [builtins fixtures/list.pyi] [case testDisallowAnyGenericsGenericAlias] # flags: --disallow-any-generics from typing import TypeVar, Tuple T = TypeVar('T') A = Tuple[T, str, T] def f(s: A) -> None: pass # E: Missing type parameters for generic type "A" def g(s) -> A: # E: Missing type parameters for generic type "A" return 'a', 'b', 1 def h(s) -> A[str]: # no error return 'a', 'b', 'c' x: A = ('a', 'b', 1) # E: Missing type parameters for generic type "A" [builtins fixtures/tuple.pyi] [case testDisallowAnyGenericsPlainList] # flags: --disallow-any-generics from typing import List def f(l: List) -> None: pass # E: Missing type parameters for generic type "List" def g(l: List[str]) -> None: pass def h(l: List[List]) -> None: pass # E: Missing type parameters for generic type "List" def i(l: List[List[List[List]]]) -> None: pass # E: Missing type parameters for generic type "List" def j() -> List: pass # E: Missing type parameters for generic type "List" x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") y: List = [] # E: Missing type parameters for generic type "List" [builtins fixtures/list.pyi] [case testDisallowAnyGenericsPlainDict] # flags: --disallow-any-generics from typing import List, Dict def f(d: Dict) -> None: pass # E: Missing type parameters for generic type "Dict" def g(d: Dict[str, Dict]) -> None: pass # E: Missing type parameters for generic type "Dict" def h(d: List[Dict]) -> None: pass # E: Missing type parameters for generic type "Dict" d: Dict = {} # E: Missing type parameters for generic type "Dict" [builtins fixtures/dict.pyi] [case testDisallowAnyGenericsPlainSet] # flags: --disallow-any-generics from typing import Set def f(s: Set) -> None: pass # E: Missing type parameters for generic type "Set" def g(s: Set[Set]) -> None: pass # E: Missing type parameters for generic type "Set" s: Set = set() # E: Missing type parameters for generic type "Set" [builtins fixtures/set.pyi] [case testDisallowAnyGenericsCustomGenericClass] # flags: --disallow-any-generics from typing import Generic, TypeVar, Any T = TypeVar('T') class G(Generic[T]): pass def f() -> G: # E: Missing type parameters for generic type "G" return G() x: G[Any] = G() # no error y: G = x # E: Missing type parameters for generic type "G" [case testDisallowAnyGenericsForAliasesInRuntimeContext] # flags: --disallow-any-generics from typing import Any, TypeVar, Generic, Tuple T = TypeVar("T") class G(Generic[T]): @classmethod def foo(cls) -> T: ... A = G[Tuple[T, T]] A() # E: Missing type parameters for generic type "A" A.foo() # E: Missing type parameters for generic type "A" B = G B() B.foo() def foo(x: Any) -> None: ... foo(A) foo(A.foo) [builtins fixtures/classmethod.pyi] [case testDisallowSubclassingAny] # flags: --config-file tmp/mypy.ini import m import y [file m.py] from typing import Any x = None # type: Any class ShouldBeFine(x): ... [file y.py] from typing import Any x = None # type: Any class ShouldNotBeFine(x): ... # E: Class cannot subclass "x" (has type "Any") [file mypy.ini] \[mypy] disallow_subclassing_any = True \[mypy-m] disallow_subclassing_any = False [case testDisallowSubclassingAnyPyProjectTOML] # flags: --config-file tmp/pyproject.toml import m import y [file m.py] from typing import Any x = None # type: Any class ShouldBeFine(x): ... [file y.py] from typing import Any x = None # type: Any class ShouldNotBeFine(x): ... # E: Class cannot subclass "x" (has type "Any") [file pyproject.toml] \[tool.mypy] disallow_subclassing_any = true \[[tool.mypy.overrides]] module = 'm' disallow_subclassing_any = false [case testNoImplicitOptionalPerModule] # flags: --config-file tmp/mypy.ini import m [file m.py] def f(a: str = None) -> int: return 0 [file mypy.ini] \[mypy] no_implicit_optional = True \[mypy-m] no_implicit_optional = False [case testNoImplicitOptionalPerModulePyProjectTOML] # flags: --config-file tmp/pyproject.toml import m [file m.py] def f(a: str = None) -> int: return 0 [file pyproject.toml] \[tool.mypy] no_implicit_optional = true \[[tool.mypy.overrides]] module = 'm' no_implicit_optional = false [case testDisableErrorCode] # flags: --disable-error-code attr-defined x = 'should be fine' x.trim() [case testDisableDifferentErrorCode] # flags: --disable-error-code name-defined --show-error-codes x = 'should not be fine' x.trim() # E: "str" has no attribute "trim" [attr-defined] [case testDisableMultipleErrorCode] # flags: --disable-error-code attr-defined --disable-error-code return-value --show-error-codes x = 'should be fine' x.trim() def bad_return_type() -> str: return None bad_return_type('no args taken!') # E: Too many arguments for "bad_return_type" [call-arg] [case testEnableErrorCode] # flags: --disable-error-code attr-defined --enable-error-code attr-defined --show-error-codes x = 'should be fine' x.trim() # E: "str" has no attribute "trim" [attr-defined] [case testEnableDifferentErrorCode] # flags: --disable-error-code attr-defined --enable-error-code name-defined --show-error-codes x = 'should not be fine' x.trim() y.trim() # E: Name "y" is not defined [name-defined] [case testEnableMultipleErrorCode] # flags: \ --disable-error-code attr-defined \ --disable-error-code return-value \ --disable-error-code call-arg \ --enable-error-code attr-defined \ --enable-error-code return-value --show-error-codes x = 'should be fine' x.trim() # E: "str" has no attribute "trim" [attr-defined] def bad_return_type() -> str: return None # E: Incompatible return value type (got "None", expected "str") [return-value] bad_return_type('no args taken!') [case testDisallowUntypedCallsArgType] # flags: --disallow-untyped-calls def f(x): pass y = 1 f(reveal_type(y)) # E: Call to untyped function "f" in typed context \ # N: Revealed type is "builtins.int" [case testDisallowUntypedCallsAllowListFlags] # flags: --disallow-untyped-calls --untyped-calls-exclude=foo --untyped-calls-exclude=bar.A from foo import test_foo from bar import A, B from baz import test_baz from foobar import bad test_foo(42) # OK test_baz(42) # E: Call to untyped function "test_baz" in typed context bad(42) # E: Call to untyped function "bad" in typed context a: A b: B a.meth() # OK b.meth() # E: Call to untyped function "meth" in typed context [file foo.py] def test_foo(x): pass [file foobar.py] def bad(x): pass [file bar.py] class A: def meth(self): pass class B: def meth(self): pass [file baz.py] def test_baz(x): pass [case testDisallowUntypedCallsAllowListConfig] # flags: --config-file tmp/mypy.ini from foo import test_foo from bar import A, B from baz import test_baz test_foo(42) # OK test_baz(42) # E: Call to untyped function "test_baz" in typed context a: A b: B a.meth() # OK b.meth() # E: Call to untyped function "meth" in typed context [file foo.py] def test_foo(x): pass [file bar.py] class A: def meth(self): pass class B: def meth(self): pass [file baz.py] def test_baz(x): pass [file mypy.ini] \[mypy] disallow_untyped_calls = True untyped_calls_exclude = foo, bar.A [case testPerModuleErrorCodes] # flags: --config-file tmp/mypy.ini import tests.foo import bar [file bar.py] x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") [file tests/__init__.py] [file tests/foo.py] x = [] # OK [file mypy.ini] \[mypy] strict = True \[mypy-tests.*] allow_untyped_defs = True allow_untyped_calls = True disable_error_code = var-annotated [case testPerFileIgnoreErrors] # flags: --config-file tmp/mypy.ini import foo, bar [file foo.py] x: str = 5 [file bar.py] x: str = 5 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file mypy.ini] \[mypy] \[mypy-foo] ignore_errors = True [case testPerFileUntypedDefs] # flags: --config-file tmp/mypy.ini import x, y, z [file x.py] def f(a): ... # E: Function is missing a type annotation def g(a: int) -> int: return f(a) [file y.py] def f(a): pass def g(a: int) -> int: return f(a) [file z.py] def f(a): pass # E: Function is missing a type annotation def g(a: int) -> int: return f(a) # E: Call to untyped function "f" in typed context [file mypy.ini] \[mypy] disallow_untyped_defs = True \[mypy-y] disallow_untyped_defs = False \[mypy-z] disallow_untyped_calls = True [case testPerModuleErrorCodesOverride] # flags: --config-file tmp/mypy.ini import tests.foo import bar [file bar.py] def foo() -> int: ... if foo: ... # E: Function "foo" could always be true in boolean context 42 + "no" # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[operator]" instead) [file tests/__init__.py] [file tests/foo.py] def foo() -> int: ... if foo: ... # E: Function "foo" could always be true in boolean context 42 + "no" # type: ignore [file mypy.ini] \[mypy] enable_error_code = ignore-without-code, truthy-bool, used-before-def \[mypy-tests.*] disable_error_code = ignore-without-code [case testShowErrorCodes] # flags: --show-error-codes x: int = "" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [assignment] [case testHideErrorCodes] # flags: --hide-error-codes x: int = "" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testDisableBytearrayPromotion] # flags: --disable-bytearray-promotion --strict-equality def f(x: bytes) -> None: ... f(bytearray(b"asdf")) # E: Argument 1 to "f" has incompatible type "bytearray"; expected "bytes" f(memoryview(b"asdf")) ba = bytearray(b"") if ba == b"": f(ba) # E: Argument 1 to "f" has incompatible type "bytearray"; expected "bytes" if b"" == ba: f(ba) # E: Argument 1 to "f" has incompatible type "bytearray"; expected "bytes" if ba == bytes(): f(ba) # E: Argument 1 to "f" has incompatible type "bytearray"; expected "bytes" if bytes() == ba: f(ba) # E: Argument 1 to "f" has incompatible type "bytearray"; expected "bytes" [builtins fixtures/primitives.pyi] [case testDisableMemoryviewPromotion] # flags: --disable-memoryview-promotion def f(x: bytes) -> None: ... f(bytearray(b"asdf")) f(memoryview(b"asdf")) # E: Argument 1 to "f" has incompatible type "memoryview"; expected "bytes" [builtins fixtures/primitives.pyi] [case testDisableBytearrayMemoryviewPromotionStrictEquality] # flags: --disable-bytearray-promotion --disable-memoryview-promotion --strict-equality def f(x: bytes, y: bytearray, z: memoryview) -> None: x == y y == z x == z 97 in x 97 in y 97 in z x in y x in z [builtins fixtures/primitives.pyi] [case testEnableBytearrayMemoryviewPromotionStrictEquality] # flags: --strict-equality def f(x: bytes, y: bytearray, z: memoryview) -> None: x == y y == z x == z 97 in x 97 in y 97 in z x in y x in z [builtins fixtures/primitives.pyi] [case testStrictBytes] # flags: --strict-bytes def f(x: bytes) -> None: ... f(bytearray(b"asdf")) # E: Argument 1 to "f" has incompatible type "bytearray"; expected "bytes" f(memoryview(b"asdf")) # E: Argument 1 to "f" has incompatible type "memoryview"; expected "bytes" [builtins fixtures/primitives.pyi] [case testNoStrictBytes] # flags: --no-strict-bytes def f(x: bytes) -> None: ... f(bytearray(b"asdf")) f(memoryview(b"asdf")) [builtins fixtures/primitives.pyi] [case testStrictBytesDisabledByDefault] # TODO: probably change this default in Mypy v2.0, with https://github.com/python/mypy/pull/18371 # (this would also obsolete the testStrictBytesEnabledByStrict test, below) def f(x: bytes) -> None: ... f(bytearray(b"asdf")) f(memoryview(b"asdf")) [builtins fixtures/primitives.pyi] [case testStrictBytesEnabledByStrict] # flags: --strict --disable-error-code type-arg # The type-arg thing is just work around the primitives.pyi isinstance Tuple not having type parameters, # which isn't important for this. def f(x: bytes) -> None: ... f(bytearray(b"asdf")) # E: Argument 1 to "f" has incompatible type "bytearray"; expected "bytes" f(memoryview(b"asdf")) # E: Argument 1 to "f" has incompatible type "memoryview"; expected "bytes" [builtins fixtures/primitives.pyi] [case testNoCrashFollowImportsForStubs] # flags: --config-file tmp/mypy.ini {**{"x": "y"}} [file mypy.ini] \[mypy] follow_imports = skip follow_imports_for_stubs = true [builtins fixtures/dict.pyi] [case testReturnAnyLambda] # flags: --warn-return-any from typing import Any, Callable def cb(f: Callable[[int], int]) -> None: ... a: Any cb(lambda x: a) # OK fn = lambda x: a cb(fn) [case testShowErrorCodeLinks] # flags: --show-error-codes --show-error-code-links x: int = "" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [assignment] list(1) # E: No overload variant of "list" matches argument type "int" [call-overload] \ # N: Possible overload variants: \ # N: def [T] __init__(self) -> list[T] \ # N: def [T] __init__(self, x: Iterable[T]) -> list[T] \ # N: See https://mypy.rtfd.io/en/stable/_refs.html#code-call-overload for more info list(2) # E: No overload variant of "list" matches argument type "int" [call-overload] \ # N: Possible overload variants: \ # N: def [T] __init__(self) -> list[T] \ # N: def [T] __init__(self, x: Iterable[T]) -> list[T] [builtins fixtures/list.pyi] [case testNestedGenericInAliasDisallow] # flags: --disallow-any-generics from typing import TypeVar, Generic, List, Union class C(Generic[T]): ... A = Union[C, List] # E: Missing type parameters for generic type "C" \ # E: Missing type parameters for generic type "List" [builtins fixtures/list.pyi] [case testNestedGenericInAliasAllow] # flags: --allow-any-generics from typing import TypeVar, Generic, List, Union class C(Generic[T]): ... A = Union[C, List] # OK [builtins fixtures/list.pyi] [case testNotesOnlyResultInExitSuccess] -- check_untyped_defs is False by default. def f(): x: int = "no" # N: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-formatting.test0000644000175100017510000005754615112307767021273 0ustar00runnerrunner -- String interpolation -- -------------------- [case testStringInterpolationType] from typing import Tuple i: int f: float s: str t: Tuple[int] '%d' % i '%f' % f '%s' % s '%d' % (f,) '%d' % (s,) # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float, SupportsInt]") '%d' % t '%d' % s # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float, SupportsInt]") '%f' % s # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float, SupportsFloat]") '%x' % f # E: Incompatible types in string interpolation (expression has type "float", placeholder has type "int") '%i' % f '%o' % f # E: Incompatible types in string interpolation (expression has type "float", placeholder has type "int") [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationSAcceptsAnyType] from typing import Any i: int o: object s: str '%s %s %s' % (i, o, s) [builtins fixtures/primitives.pyi] [case testStringInterpolationSBytesVsStrErrorPy3] xb: bytes xs: str '%s' % xs # OK '%s' % xb # E: If x = b'abc' then "%s" % x produces "b'abc'", not "abc". If this is desired behavior use "%r" % x. Otherwise, decode the bytes '%(name)s' % {'name': b'value'} # E: If x = b'abc' then "%s" % x produces "b'abc'", not "abc". If this is desired behavior use "%r" % x. Otherwise, decode the bytes [builtins fixtures/primitives.pyi] [case testStringInterpolationCount] '%d %d' % 1 # E: Not enough arguments for format string '%d %d' % (1, 2) '%d %d' % (1, 2, 3) # E: Not all arguments converted during string formatting t = 1, 's' '%d %s' % t '%s %d' % t # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float, SupportsInt]") '%d' % t # E: Not all arguments converted during string formatting [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationWithAnyType] from typing import Any a = None # type: Any '%d %d' % a [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationInvalidPlaceholder] '%W' % 1 # E: Unsupported format character "W" '%b' % 1 # E: Format character "b" is only supported on bytes patterns [case testStringInterpolationWidth] '%2f' % 3.14 '%*f' % 3.14 # E: Not enough arguments for format string '%*f' % (4, 3.14) '%*f' % (1.1, 3.14) # E: * wants int [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationPrecision] '%.2f' % 3.14 '%.*f' % 3.14 # E: Not enough arguments for format string '%.*f' % (4, 3.14) '%.*f' % (1.1, 3.14) # E: * wants int [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationWidthAndPrecision] '%4.2f' % 3.14 '%4.*f' % 3.14 # E: Not enough arguments for format string '%*.2f' % 3.14 # E: Not enough arguments for format string '%*.*f' % 3.14 # E: Not enough arguments for format string '%*.*f' % (4, 2, 3.14) [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationFlagsAndLengthModifiers] '%04hd' % 1 '%-.4ld' % 1 '%+*Ld' % (1, 1) '% .*ld' % (1, 1) [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationDoublePercentage] '%% %d' % 1 '%3% %d' % 1 '%*%' % 1 '%*% %d' % 1 # E: Not enough arguments for format string [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationC] '%c' % 1 '%c' % 1.0 # E: "%c" requires int or char (expression has type "float") '%c' % 's' '%c' % '' # E: "%c" requires int or char '%c' % 'ab' # E: "%c" requires int or char '%c' % b'a' # E: "%c" requires int or char (expression has type "bytes") '%c' % b'' # E: "%c" requires int or char (expression has type "bytes") '%c' % b'ab' # E: "%c" requires int or char (expression has type "bytes") [builtins fixtures/primitives.pyi] [case testStringInterpolationMappingTypes] '%(a)d %(b)s' % {'a': 1, 'b': 's'} '%(a)d %(b)s' % {'a': 's', 'b': 1} # E: Incompatible types in string interpolation (expression has type "str", placeholder with key 'a' has type "Union[int, float, SupportsInt]") b'%(x)s' % {b'x': b'data'} [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationMappingKeys] '%()d' % {'': 2} '%(a)d' % {'a': 1, 'b': 2, 'c': 3} '%(q)d' % {'a': 1, 'b': 2, 'c': 3} # E: Key "q" not found in mapping '%(a)d %%' % {'a': 1} [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationMappingDictTypes] from typing import Any, Dict, Iterable class StringThing: def keys(self) -> Iterable[str]: ... def __getitem__(self, __key: str) -> str: ... class BytesThing: def keys(self) -> Iterable[bytes]: ... def __getitem__(self, __key: bytes) -> str: ... a: Any ds: Dict[str, int] do: Dict[object, int] di: Dict[int, int] '%(a)' % 1 # E: Format requires a mapping (expression has type "int", expected type for mapping is "SupportsKeysAndGetItem[str, Any]") '%()d' % a '%()d' % ds '%()d' % do # E: Format requires a mapping (expression has type "dict[object, int]", expected type for mapping is "SupportsKeysAndGetItem[str, Any]") b'%()d' % ds # E: Format requires a mapping (expression has type "dict[str, int]", expected type for mapping is "SupportsKeysAndGetItem[bytes, Any]") '%()s' % StringThing() b'%()s' % BytesThing() [builtins fixtures/primitives.pyi] [case testStringInterpolationMappingInvalidSpecifiers] '%(a)d %d' % 1 # E: String interpolation mixes specifier with and without mapping keys '%(b)*d' % 1 # E: String interpolation contains both stars and mapping keys '%(b).*d' % 1 # E: String interpolation contains both stars and mapping keys [case testStringInterpolationMappingFlagsAndLengthModifiers] '%(a)1d' % {'a': 1} '%(a).1d' % {'a': 1} '%(a)#1.1ld' % {'a': 1} [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationFloatPrecision] '%.f' % 1.2 '%.3f' % 1.2 '%.f' % 'x' '%.3f' % 'x' [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [out] main:3: error: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float, SupportsFloat]") main:4: error: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float, SupportsFloat]") [case testStringInterpolationSpaceKey] '%( )s' % {' ': 'foo'} [case testStringInterpolationStarArgs] x = (1, 2) "%d%d" % (*x,) [typing fixtures/typing-medium.pyi] [builtins fixtures/tuple.pyi] [case testStringInterpolationVariableLengthTuple] from typing import Tuple def f(t: Tuple[int, ...]) -> None: '%d %d' % t '%d %d %d' % t [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testStringInterpolationUnionType] from typing import Tuple, Union a: Union[Tuple[int, str], Tuple[str, int]] = ('A', 1) '%s %s' % a '%s' % a # E: Not all arguments converted during string formatting b: Union[Tuple[int, str], Tuple[int, int], Tuple[str, int]] = ('A', 1) '%s %s' % b '%s %s %s' % b # E: Not enough arguments for format string c: Union[Tuple[str, int], Tuple[str, int, str]] = ('A', 1) '%s %s' % c # E: Not all arguments converted during string formatting [builtins fixtures/tuple.pyi] [case testStringInterpolationIterableType] from typing import Sequence, List, Tuple, Iterable t1: Sequence[str] = ('A', 'B') t2: List[str] = ['A', 'B'] t3: Tuple[str, ...] = ('A', 'B') t4: Tuple[str, str] = ('A', 'B') t5: Iterable[str] = ('A', 'B') '%s %s' % t1 '%s %s' % t2 '%s %s' % t3 '%s %s %s' % t3 '%s %s' % t4 '%s %s %s' % t4 # E: Not enough arguments for format string '%s %s' % t5 [builtins fixtures/tuple.pyi] -- Bytes interpolation -- -------------------- [case testBytesInterpolation] b'%b' % 1 # E: Incompatible types in string interpolation (expression has type "int", placeholder has type "bytes") b'%b' % b'1' b'%a' % 3 [case testBytesInterpolationC] b'%c' % 1 b'%c' % 1.0 # E: "%c" requires an integer in range(256) or a single byte (expression has type "float") b'%c' % 's' # E: "%c" requires an integer in range(256) or a single byte (expression has type "str") b'%c' % '' # E: "%c" requires an integer in range(256) or a single byte (expression has type "str") b'%c' % 'ab' # E: "%c" requires an integer in range(256) or a single byte (expression has type "str") b'%c' % b'a' b'%c' % b'' # E: "%c" requires an integer in range(256) or a single byte b'%c' % b'aa' # E: "%c" requires an integer in range(256) or a single byte [builtins fixtures/primitives.pyi] [case testByteByteInterpolation] def foo(a: bytes, b: bytes): b'%s:%s' % (a, b) foo(b'a', b'b') == b'a:b' [builtins fixtures/tuple.pyi] [case testBytePercentInterpolationSupported] b'%s' % (b'xyz',) b'%(name)s' % {'name': b'jane'} # E: Dictionary keys in bytes formatting must be bytes, not strings b'%(name)s' % {b'name': 'jane'} # E: On Python 3 b'%s' requires bytes, not string b'%c' % (123) [builtins fixtures/tuple.pyi] -- str.format() calls -- ------------------ [case testFormatCallParseErrors] '}'.format() # E: Invalid conversion specifier in format string: unexpected } '{'.format() # E: Invalid conversion specifier in format string: unmatched { '}}'.format() # OK '{{'.format() # OK '{{}}}'.format() # E: Invalid conversion specifier in format string: unexpected } '{{{}}'.format() # E: Invalid conversion specifier in format string: unexpected } '{}}{{}'.format() # E: Invalid conversion specifier in format string: unexpected } '{{{}:{}}}'.format(0) # E: Cannot find replacement for positional format specifier 1 [builtins fixtures/primitives.pyi] [case testFormatCallValidationErrors] '{!}}'.format(0) # E: Invalid conversion specifier in format string: unexpected } '{!x}'.format(0) # E: Invalid conversion type "x", must be one of "r", "s" or "a" '{!:}'.format(0) # E: Invalid conversion specifier in format string '{{}:s}'.format(0) # E: Invalid conversion specifier in format string: unexpected } '{{}.attr}'.format(0) # E: Invalid conversion specifier in format string: unexpected } '{{}[key]}'.format(0) # E: Invalid conversion specifier in format string: unexpected } '{ {}:s}'.format() # E: Conversion value must not contain { or } '{ {}.attr}'.format() # E: Conversion value must not contain { or } '{ {}[key]}'.format() # E: Conversion value must not contain { or } [builtins fixtures/primitives.pyi] [case testFormatCallEscaping] '{}'.format() # E: Cannot find replacement for positional format specifier 0 '{}'.format(0) # OK '{{}}'.format() # OK '{{}}'.format(0) # E: Not all arguments converted during string formatting '{{{}}}'.format() # E: Cannot find replacement for positional format specifier 0 '{{{}}}'.format(0) # OK '{{}} {} {{}}'.format(0) # OK '{{}} {:d} {{}} {:d}'.format('a', 'b') # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") 'foo({}, {}) == {{}} ({{}} expected)'.format(0) # E: Cannot find replacement for positional format specifier 1 'foo({}, {}) == {{}} ({{}} expected)'.format(0, 1) # OK 'foo({}, {}) == {{}} ({{}} expected)'.format(0, 1, 2) # E: Not all arguments converted during string formatting [builtins fixtures/primitives.pyi] [case testFormatCallNestedFormats] '{:{}{}}'.format(42, '*') # E: Cannot find replacement for positional format specifier 2 '{:{}{}}'.format(42, '*', '^') # OK '{:{}{}}'.format(42, '*', '^', 0) # E: Not all arguments converted during string formatting # NOTE: we don't check format specifiers that contain { or } at all '{:{{}}}'.format() # E: Cannot find replacement for positional format specifier 0 '{:{:{}}}'.format() # E: Formatting nesting must be at most two levels deep '{:{{}:{}}}'.format() # E: Invalid conversion specifier in format string: unexpected } '{!s:{fill:d}{align}}'.format(42, fill='*', align='^') # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") [builtins fixtures/primitives.pyi] [case testFormatCallAutoNumbering] '{}, {{}}, {0}'.format() # E: Cannot combine automatic field numbering and manual field specification '{0}, {1}, {}'.format() # E: Cannot combine automatic field numbering and manual field specification '{0}, {1}, {0}'.format(1, 2, 3) # E: Not all arguments converted during string formatting '{}, {other:+d}, {}'.format(1, 2, other='no') # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") '{0}, {other}, {}'.format() # E: Cannot combine automatic field numbering and manual field specification '{:{}}, {:{:.5d}{}}'.format(1, 2, 3, 'a', 5) # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") [builtins fixtures/primitives.pyi] [case testFormatCallMatchingPositional] '{}'.format(positional='no') # E: Cannot find replacement for positional format specifier 0 \ # E: Not all arguments converted during string formatting '{.x}, {}, {}'.format(1, 'two', 'three') # E: "int" has no attribute "x" 'Reverse {2.x}, {1}, {0}'.format(1, 2, 'three') # E: "str" has no attribute "x" ''.format(1, 2) # E: Not all arguments converted during string formatting [builtins fixtures/primitives.pyi] [case testFormatCallMatchingNamed] '{named}'.format(0) # E: Cannot find replacement for named format specifier "named" \ # E: Not all arguments converted during string formatting '{one.x}, {two}'.format(one=1, two='two') # E: "int" has no attribute "x" '{one}, {two}, {.x}'.format(1, one='two', two='three') # E: "int" has no attribute "x" ''.format(stuff='yes') # E: Not all arguments converted during string formatting [builtins fixtures/primitives.pyi] [case testFormatCallMatchingVarArg] from typing import List args: List[int] = [] '{}, {}'.format(1, 2, *args) # Don't flag this because args may be empty strings: List[str] '{:d}, {[0].x}'.format(*strings) # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") \ # E: "str" has no attribute "x" # TODO: this is a runtime error, but error message is confusing '{[0][:]:d}'.format(*strings) # E: Syntax error in format specifier "0[0][" [builtins fixtures/primitives.pyi] [case testFormatCallMatchingKwArg] from typing import Dict kwargs: Dict[str, str] = {} '{one}, {two}'.format(one=1, two=2, **kwargs) # Don't flag this because args may be empty '{stuff:.3d}'.format(**kwargs) # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") '{stuff[0]:f}, {other}'.format(**kwargs) # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float]") '{stuff[0]:c}'.format(**kwargs) [builtins fixtures/primitives.pyi] [case testFormatCallCustomFormatSpec] from typing import Union class Bad: ... class Good: def __format__(self, spec: str) -> str: ... '{:OMG}'.format(Good()) '{:OMG}'.format(Bad()) # E: Unrecognized format specification "OMG" '{!s:OMG}'.format(Good()) # E: Unrecognized format specification "OMG" '{:{}OMG{}}'.format(Bad(), 'too', 'dynamic') x: Union[Good, Bad] '{:OMG}'.format(x) # E: Unrecognized format specification "OMG" [builtins fixtures/primitives.pyi] [case testFormatCallFormatTypes] '{:x}'.format(42) '{:E}'.format(42) '{:g}'.format(42) '{:x}'.format('no') # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") '{:E}'.format('no') # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float]") '{:g}'.format('no') # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float]") '{:n}'.format(3.14) '{:d}'.format(3.14) # E: Incompatible types in string interpolation (expression has type "float", placeholder has type "int") '{:s}'.format(42) '{:s}'.format('yes') '{:z}'.format('what') # E: Unsupported format character "z" '{:Z}'.format('what') # E: Unsupported format character "Z" [builtins fixtures/primitives.pyi] [case testFormatCallFormatTypesChar] '{:c}'.format(42) '{:c}'.format('no') # E: ":c" requires int or char '{:c}'.format('c') class C: ... '{:c}'.format(C()) # E: Incompatible types in string interpolation (expression has type "C", placeholder has type "Union[int, str]") x: str '{:c}'.format(x) [builtins fixtures/primitives.pyi] [case testFormatCallFormatTypesCustomFormat] from typing import Union class Bad: ... class Good: def __format__(self, spec: str) -> str: ... x: Union[Good, Bad] y: Union[Good, int] z: Union[Bad, int] t: Union[Good, str] '{:d}'.format(x) # E: Incompatible types in string interpolation (expression has type "Bad", placeholder has type "int") '{:d}'.format(y) '{:d}'.format(z) # E: Incompatible types in string interpolation (expression has type "Bad", placeholder has type "int") '{:d}'.format(t) # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") [builtins fixtures/primitives.pyi] [case testFormatCallFormatTypesBytes] from typing import Union, TypeVar, NewType, Generic A = TypeVar('A', str, bytes) B = TypeVar('B', bound=bytes) x: Union[str, bytes] a: str b: bytes N = NewType('N', bytes) n: N '{}'.format(a) '{}'.format(b) # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes '{}'.format(x) # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes '{}'.format(n) # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes f'{b}' # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes f'{x}' # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes f'{n}' # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes class C(Generic[B]): x: B def meth(self) -> None: '{}'.format(self.x) # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes def func(x: A) -> A: '{}'.format(x) # E: If x = b'abc' then f"{x}" or "{}".format(x) produces "b'abc'", not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). Otherwise, decode the bytes return x '{!r}'.format(a) '{!r}'.format(b) '{!r}'.format(x) '{!r}'.format(n) f'{a}' f'{a!r}' f'{b!r}' f'{x!r}' f'{n!r}' class D(bytes): def __str__(self) -> str: return "overrides __str__ of bytes" '{}'.format(D()) [builtins fixtures/primitives.pyi] [case testNoSpuriousFormattingErrorsDuringFailedOverlodMatch] from typing import overload, Callable @overload def sub(pattern: str, repl: Callable[[str], str]) -> str: ... @overload def sub(pattern: bytes, repl: Callable[[bytes], bytes]) -> bytes: ... def sub(pattern: object, repl: object) -> object: pass def better_snakecase(text: str) -> str: # Mypy used to emit a spurious error here # warning about interpolating bytes into an f-string: text = sub(r"([A-Z])([A-Z]+)([A-Z](?:[^A-Z]|$))", lambda match: f"{match}") return text [builtins fixtures/primitives.pyi] [case testFormatCallFinal] from typing import Final FMT: Final = '{.x}, {:{:d}}' FMT.format(1, 2, 'no') # E: "int" has no attribute "x" \ # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") [builtins fixtures/primitives.pyi] [case testFormatCallFinalChar] from typing import Final GOOD: Final = 'c' BAD: Final = 'no' OK: Final[str] = '...' '{:c}'.format(GOOD) '{:c}'.format(BAD) # E: ":c" requires int or char '{:c}'.format(OK) [builtins fixtures/primitives.pyi] [case testFormatCallForcedConversions] '{!r}'.format(42) '{!s}'.format(42) '{!s:d}'.format(42) # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "int") '{!s:s}'.format('OK') '{} and {!x}'.format(0, 1) # E: Invalid conversion type "x", must be one of "r", "s" or "a" [builtins fixtures/primitives.pyi] [case testFormatCallAccessorsBasic] from typing import Any x: Any '{.x:{[0]}}'.format('yes', 42) # E: "str" has no attribute "x" \ # E: Value of type "int" is not indexable '{.1+}'.format(x) # E: Syntax error in format specifier "0.1+" '{name.x[x]()[x]:.2f}'.format(name=x) # E: Only index and member expressions are allowed in format field accessors; got "name.x[x]()[x]" [builtins fixtures/primitives.pyi] [case testFormatCallAccessorsIndices] from typing import TypedDict class User(TypedDict): id: int name: str u: User '{user[name]:.3f}'.format(user=u) # E: Incompatible types in string interpolation (expression has type "str", placeholder has type "Union[int, float]") def f() -> str: ... '{[f()]}'.format(u) # E: Invalid index expression in format field accessor "[f()]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-typeddict.pyi] [case testFormatCallFlags] from typing import Union class Good: def __format__(self, spec: str) -> str: ... '{:#}'.format(42) '{:#}'.format('no') # E: Numeric flags are only allowed for numeric types '{!s:#}'.format(42) # E: Numeric flags are only allowed for numeric types '{:#s}'.format(42) # E: Numeric flags are only allowed for numeric types '{:+s}'.format(42) # E: Numeric flags are only allowed for numeric types '{:+d}'.format(42) '{:#d}'.format(42) x: Union[float, Good] '{:+f}'.format(x) [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testFormatCallSpecialCases] '{:08b}'.format(int('3')) class S: def __int__(self) -> int: ... '{:+d}'.format(S()) # E: Incompatible types in string interpolation (expression has type "S", placeholder has type "int") '%d' % S() # This is OK however '{:%}'.format(0.001) [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [case testEnumWithStringToFormatValue] from enum import Enum class Responses(str, Enum): TEMPLATED = 'insert {} here' TEMPLATED_WITH_KW = 'insert {value} here' NORMAL = 'something' Responses.TEMPLATED.format(42) Responses.TEMPLATED_WITH_KW.format(value=42) Responses.TEMPLATED.format() # E: Cannot find replacement for positional format specifier 0 Responses.TEMPLATED_WITH_KW.format() # E: Cannot find replacement for named format specifier "value" Responses.NORMAL.format(42) # E: Not all arguments converted during string formatting Responses.NORMAL.format(value=42) # E: Not all arguments converted during string formatting [builtins fixtures/primitives.pyi] [case testNonStringEnumToFormatValue] from enum import Enum class Responses(Enum): TEMPLATED = 'insert {value} here' Responses.TEMPLATED.format(value=42) # E: "Responses" has no attribute "format" [builtins fixtures/primitives.pyi] [case testStrEnumWithStringToFormatValue] # flags: --python-version 3.11 from enum import StrEnum class Responses(StrEnum): TEMPLATED = 'insert {} here' TEMPLATED_WITH_KW = 'insert {value} here' NORMAL = 'something' Responses.TEMPLATED.format(42) Responses.TEMPLATED_WITH_KW.format(value=42) Responses.TEMPLATED.format() # E: Cannot find replacement for positional format specifier 0 Responses.TEMPLATED_WITH_KW.format() # E: Cannot find replacement for named format specifier "value" Responses.NORMAL.format(42) # E: Not all arguments converted during string formatting Responses.NORMAL.format(value=42) # E: Not all arguments converted during string formatting [builtins fixtures/primitives.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-functions.test0000644000175100017510000030551415112307767021120 0ustar00runnerrunner-- Test cases for the type checker related to functions, function types and -- calls. -- See also check-varargs.test. -- Callable type basics -- -------------------- [case testCallingVariableWithFunctionType] from typing import Callable f: Callable[[A], B] a: A b: B if int(): a = f(a) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = f(b) # E: Argument 1 has incompatible type "B"; expected "A" if int(): b = f() # E: Too few arguments if int(): b = f(a, a) # E: Too many arguments if int(): b = f(a) class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testKeywordOnlyArgumentOrderInsensitivity] import typing class A(object): def f(self, *, a: int, b: str) -> None: pass class B(A): def f(self, *, b: str, a: int) -> None: pass class C(A): def f(self, *, b: int, a: str) -> None: pass # Fail [out] main:10: error: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "str" main:10: note: This violates the Liskov substitution principle main:10: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides main:10: error: Argument 2 of "f" is incompatible with supertype "A"; supertype defines the argument type as "int" [case testPositionalOverridingArgumentNameInsensitivity] import typing class A(object): def f(self, a: int, b: str) -> None: pass class B(A): def f(self, b: str, a: int) -> None: pass # E: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides \ # E: Argument 2 of "f" is incompatible with supertype "A"; supertype defines the argument type as "str" class C(A): def f(self, foo: int, bar: str) -> None: pass [case testPositionalOverridingArgumentNamesCheckedWhenMismatchingPos] import typing class A(object): def f(self, a: int, b: str) -> None: pass class B(A): def f(self, b: int, a: str) -> None: pass # Fail [out] main:7: error: Signature of "f" incompatible with supertype "A" main:7: note: Superclass: main:7: note: def f(self, a: int, b: str) -> None main:7: note: Subclass: main:7: note: def f(self, b: int, a: str) -> None [case testSubtypingFunctionTypes] from typing import Callable class A: pass class B(A): pass f: Callable[[B], A] g: Callable[[A], A] # subtype of f h: Callable[[B], B] # subtype of f if int(): g = h # E: Incompatible types in assignment (expression has type "Callable[[B], B]", variable has type "Callable[[A], A]") if int(): h = f # E: Incompatible types in assignment (expression has type "Callable[[B], A]", variable has type "Callable[[B], B]") if int(): h = g # E: Incompatible types in assignment (expression has type "Callable[[A], A]", variable has type "Callable[[B], B]") if int(): g = f # E: Incompatible types in assignment (expression has type "Callable[[B], A]", variable has type "Callable[[A], A]") if int(): f = g if int(): f = h if int(): f = f if int(): g = g if int(): h = h [case testSubtypingFunctionsDoubleCorrespondence] def l(x) -> None: ... def r(__x, *, x) -> None: ... r = l # E: Incompatible types in assignment (expression has type "Callable[[Any], None]", variable has type "def r(Any, /, *, x: Any) -> None") [case testSubtypingFunctionsDoubleCorrespondenceNamedOptional] def l(x) -> None: ... def r(__x, *, x = 1) -> None: ... r = l # E: Incompatible types in assignment (expression has type "Callable[[Any], None]", variable has type "def r(Any, /, *, x: Any = ...) -> None") [case testSubtypingFunctionsDoubleCorrespondenceBothNamedOptional] def l(x = 1) -> None: ... def r(__x, *, x = 1) -> None: ... r = l # E: Incompatible types in assignment (expression has type "Callable[[Any], None]", variable has type "def r(Any, /, *, x: Any = ...) -> None") [case testSubtypingFunctionsTrivialSuffixRequired] def l(__x) -> None: ... def r(x, *args, **kwargs) -> None: ... r = l # E: Incompatible types in assignment (expression has type "Callable[[Any], None]", variable has type "def r(x: Any, *args: Any, **kwargs: Any) -> None") [builtins fixtures/dict.pyi] [case testSubtypingFunctionsTrivialSuffixOptional] def l(__x = 1) -> None: ... def r(x = 1, *args, **kwargs) -> None: ... r = l # E: Incompatible types in assignment (expression has type "def l(Any = ..., /) -> None", variable has type "def r(x: Any = ..., *args: Any, **kwargs: Any) -> None") [builtins fixtures/dict.pyi] [case testSubtypingFunctionsRequiredLeftArgNotPresent] def l(x, y) -> None: ... def r(x) -> None: ... r = l # E: Incompatible types in assignment (expression has type "Callable[[Any, Any], None]", variable has type "Callable[[Any], None]") [case testSubtypingFunctionsImplicitNames] from typing import Any def f(a, b): pass def g(c: Any, d: Any) -> Any: pass ff = f gg = g gg = f ff = g [case testSubtypingFunctionsDefaultsNames] from typing import Callable def f(a: int, b: str) -> None: pass f_nonames: Callable[[int, str], None] def g(a: int, b: str = "") -> None: pass def h(aa: int, b: str = "") -> None: pass ff_nonames = f_nonames ff = f gg = g hh = h if int(): ff = gg if int(): ff_nonames = ff if int(): ff_nonames = f_nonames # reset if int(): ff = ff_nonames # E: Incompatible types in assignment (expression has type "Callable[[int, str], None]", variable has type "def f(a: int, b: str) -> None") if int(): ff = f # reset if int(): gg = ff # E: Incompatible types in assignment (expression has type "def f(a: int, b: str) -> None", variable has type "def g(a: int, b: str = ...) -> None") if int(): gg = hh # E: Incompatible types in assignment (expression has type "def h(aa: int, b: str = ...) -> None", variable has type "def g(a: int, b: str = ...) -> None") [case testSubtypingFunctionsArgsKwargs] from typing import Any, Callable def everything(*args: Any, **kwargs: Any) -> None: pass everywhere: Callable[..., None] def specific_1(a: int, b: str) -> None: pass def specific_2(a: int, *, b: str) -> None: pass ss_1 = specific_1 ss_2 = specific_2 ee_def = everything ee_var = everywhere if int(): ss_1 = ee_def if int(): ss_1 = specific_1 if int(): ss_2 = ee_def if int(): ss_2 = specific_2 if int(): ee_def = everywhere if int(): ee_def = everything if int(): ee_var = everything if int(): ee_var = everywhere if int(): ee_var = specific_1 if int(): ee_def = specific_1 [builtins fixtures/dict.pyi] [case testSubtypingFunctionsDecorated] from typing import Any # untyped decorator def deco(f): pass class A: @deco def f(self) -> Any: pass class B(A): @deco def f(self) -> Any: pass [builtins fixtures/list.pyi] [case testLackOfNames] def f(__a: int, __b: str) -> None: pass def g(a: int, b: str) -> None: pass ff = f gg = g if int(): ff = g if int(): gg = f # E: Incompatible types in assignment (expression has type "Callable[[int, str], None]", variable has type "def g(a: int, b: str) -> None") [case testLackOfNamesFastparse] def f(__a: int, __b: str) -> None: pass def g(a: int, b: str) -> None: pass ff = f gg = g if int(): ff = g if int(): gg = f # E: Incompatible types in assignment (expression has type "Callable[[int, str], None]", variable has type "def g(a: int, b: str) -> None") [case testFunctionTypeCompatibilityWithOtherTypes] # flags: --no-strict-optional from typing import Callable f = None # type: Callable[[], None] a, o = None, None # type: (A, object) if int(): a = f # E: Incompatible types in assignment (expression has type "Callable[[], None]", variable has type "A") if int(): f = a # E: Incompatible types in assignment (expression has type "A", variable has type "Callable[[], None]") if int(): f = o # E: Incompatible types in assignment (expression has type "object", variable has type "Callable[[], None]") if int(): f = f() # E: Function does not return a value (it only ever returns None) if int(): f = f if int(): f = None if int(): o = f class A: pass [builtins fixtures/tuple.pyi] [case testReturnEmptyTuple] from typing import Tuple def f(x): # type: (int) -> () # E: Syntax error in type annotation \ # N: Suggestion: Use Tuple[()] instead of () for an empty tuple, or None for a function without a return value pass def g(x: int) -> Tuple[()]: pass [builtins fixtures/tuple.pyi] [case testFunctionSubtypingWithVoid] from typing import Callable f: Callable[[], None] g: Callable[[], object] if int(): f = g # E: Incompatible types in assignment (expression has type "Callable[[], object]", variable has type "Callable[[], None]") if int(): g = f # OK if int(): f = f if int(): g = g [case testFunctionSubtypingWithMultipleArgs] from typing import Callable f: Callable[[A, A], None] g: Callable[[A, B], None] h: Callable[[B, B], None] if int(): f = g # E: Incompatible types in assignment (expression has type "Callable[[A, B], None]", variable has type "Callable[[A, A], None]") if int(): f = h # E: Incompatible types in assignment (expression has type "Callable[[B, B], None]", variable has type "Callable[[A, A], None]") if int(): g = h # E: Incompatible types in assignment (expression has type "Callable[[B, B], None]", variable has type "Callable[[A, B], None]") if int(): g = f if int(): h = f if int(): h = g if int(): f = f if int(): g = g if int(): h = h class A: pass class B(A): pass [case testFunctionTypesWithDifferentArgumentCounts] from typing import Callable f: Callable[[], None] g: Callable[[A], None] h: Callable[[A, A], None] if int(): f = g # E: Incompatible types in assignment (expression has type "Callable[[A], None]", variable has type "Callable[[], None]") if int(): f = h # E: Incompatible types in assignment (expression has type "Callable[[A, A], None]", variable has type "Callable[[], None]") if int(): h = f # E: Incompatible types in assignment (expression has type "Callable[[], None]", variable has type "Callable[[A, A], None]") if int(): h = g # E: Incompatible types in assignment (expression has type "Callable[[A], None]", variable has type "Callable[[A, A], None]") if int(): f = f if int(): g = g if int(): h = h class A: pass [out] [case testCompatibilityOfSimpleTypeObjectWithStdType] class A: def __init__(self, a: 'A') -> None: pass def f() -> None: pass t: type a: A if int(): a = A # E: Incompatible types in assignment (expression has type "type[A]", variable has type "A") if int(): t = f # E: Incompatible types in assignment (expression has type "Callable[[], None]", variable has type "type") if int(): t = A [case testFunctionTypesWithOverloads] from foo import * [file foo.pyi] from typing import Callable, overload f: Callable[[AA], A] g: Callable[[B], B] h: Callable[[A], AA] if int(): h = i # E: Incompatible types in assignment (expression has type overloaded function, variable has type "Callable[[A], AA]") if int(): f = j if int(): f = i if int(): g = i if int(): g = j class A: pass class AA(A): pass class B: pass @overload def i(x: AA) -> A: pass @overload def i(x: B) -> B: pass @overload def j(x: B) -> B: pass @overload def j(x: A) -> AA: pass [case testOverloadWithThreeItems] from foo import * [file foo.pyi] from typing import Callable, overload g1: Callable[[A], A] g2: Callable[[B], B] g3: Callable[[C], C] g4: Callable[[A], B] a: A b: B c: C if int(): b = f(a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = f(b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = f(c) # E: Incompatible types in assignment (expression has type "C", variable has type "B") if int(): g4 = f # E: Incompatible types in assignment (expression has type overloaded function, variable has type "Callable[[A], B]") if int(): g1 = f if int(): g2 = f if int(): g3 = f if int(): a = f(a) if int(): b = f(b) if int(): c = f(c) class A: pass class B: pass class C: pass @overload def f(x: A) -> A: pass @overload def f(x: B) -> B: pass @overload def f(x: C) -> C: pass [builtins fixtures/tuple.pyi] [case testInferConstraintsUnequalLengths] from typing import Any, Callable, List def f(fields: List[Callable[[Any], Any]]): pass class C: pass f([C]) # E: List item 0 has incompatible type "type[C]"; expected "Callable[[Any], Any]" class D: def __init__(self, a, b): pass f([D]) # E: List item 0 has incompatible type "type[D]"; expected "Callable[[Any], Any]" [builtins fixtures/list.pyi] [case testSubtypingTypeTypeAsCallable] from typing import Callable, Type class A: pass x: Callable[..., A] y: Type[A] x = y [case testSubtypingCallableAsTypeType] from typing import Callable, Type class A: pass x: Callable[..., A] y: Type[A] if int(): y = x # E: Incompatible types in assignment (expression has type "Callable[..., A]", variable has type "type[A]") -- Default argument values -- ----------------------- [case testCallingFunctionsWithDefaultArgumentValues] # flags: --implicit-optional --no-strict-optional class A: pass class AA(A): pass class B: pass def f(x: 'A' = None) -> 'B': pass a, b = None, None # type: (A, B) if int(): a = f() # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = f(b) # E: Argument 1 to "f" has incompatible type "B"; expected "Optional[A]" if int(): b = f(a, a) # E: Too many arguments for "f" if int(): b = f() if int(): b = f(a) if int(): b = f(AA()) [builtins fixtures/tuple.pyi] [case testDefaultArgumentExpressions] import typing class B: pass class A: pass def f(x: 'A' = A()) -> None: b = x # type: B # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = x # type: A [out] [case testDefaultArgumentExpressions2] import typing class B: pass class A: pass def f(x: 'A' = B()) -> None: # E: Incompatible default for argument "x" (default has type "B", argument has type "A") b = x # type: B # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = x # type: A [case testDefaultArgumentExpressionsGeneric] from typing import TypeVar T = TypeVar('T', bound='A') class B: pass class A: pass def f(x: T = B()) -> None: # E: Incompatible default for argument "x" (default has type "B", argument has type "T") b = x # type: B # E: Incompatible types in assignment (expression has type "T", variable has type "B") a = x # type: A [case testDefaultArgumentsWithSubtypes] import typing class A: pass class B(A): pass def f(x: 'B' = A()) -> None: # E: Incompatible default for argument "x" (default has type "A", argument has type "B") pass def g(x: 'A' = B()) -> None: pass [out] [case testMultipleDefaultArgumentExpressions] import typing class A: pass class B: pass def f(x: 'A' = B(), y: 'B' = B()) -> None: # E: Incompatible default for argument "x" (default has type "B", argument has type "A") pass def h(x: 'A' = A(), y: 'B' = B()) -> None: pass [out] [case testMultipleDefaultArgumentExpressions2] import typing class A: pass class B: pass def g(x: 'A' = A(), y: 'B' = A()) -> None: # E: Incompatible default for argument "y" (default has type "A", argument has type "B") pass [out] [case testDefaultArgumentsAndSignatureAsComment] import typing def f(x = 1): # type: (int) -> str pass f() f(1) f('') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [case testMethodDefaultArgumentsAndSignatureAsComment] import typing class A: def f(self, x = 1): # type: (int) -> str pass A().f() A().f(1) A().f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" -- Access to method defined as a data attribute -- -------------------------------------------- [case testMethodAsDataAttribute] from typing import Any, Callable, ClassVar class B: pass x: Any class A: f = x # type: ClassVar[Callable[[A], None]] g = x # type: ClassVar[Callable[[A, B], None]] a: A a.f() a.g(B()) a.f(a) # E: Too many arguments a.g() # E: Too few arguments [case testMethodWithInvalidMethodAsDataAttribute] from typing import Any, Callable, ClassVar class B: pass x: Any class A: f = x # type: ClassVar[Callable[[], None]] g = x # type: ClassVar[Callable[[B], None]] a: A a.f() # E: Attribute function "f" with type "Callable[[], None]" does not accept self argument a.g() # E: Invalid self argument "A" to attribute function "g" with type "Callable[[B], None]" [case testMethodWithDynamicallyTypedMethodAsDataAttribute] from typing import Any, Callable, ClassVar class B: pass x: Any class A: f = x # type: ClassVar[Callable[[Any], Any]] a: A a.f() a.f(a) # E: Too many arguments [case testMethodWithInferredMethodAsDataAttribute] from typing import Any def m(self: "A") -> int: ... class A: n = m a = A() reveal_type(a.n()) # N: Revealed type is "builtins.int" reveal_type(A.n(a)) # N: Revealed type is "builtins.int" A.n() # E: Too few arguments [case testOverloadedMethodAsDataAttribute] from foo import * [file foo.pyi] from typing import overload class B: pass class A: @overload def f(self) -> None: pass @overload def f(self, b: B) -> None: pass g = f a: A a.g() a.g(B()) a.g(a) # E: No overload variant matches argument type "A" \ # N: Possible overload variants: \ # N: def f(self) -> None \ # N: def f(self, b: B) -> None [case testMethodAsDataAttributeInferredFromDynamicallyTypedMethod] class A: def f(self, x): pass g = f a: A a.g(object()) a.g(a, a) # E: Too many arguments a.g() # E: Too few arguments [case testMethodAsDataAttributeInGenericClass] from typing import TypeVar, Generic t = TypeVar('t') class B: pass class A(Generic[t]): def f(self, x: t) -> None: pass g = f a: A[B] a.g(B()) a.g(a) # E: Argument 1 has incompatible type "A[B]"; expected "B" [case testInvalidMethodAsDataAttributeInGenericClass] from typing import Any, TypeVar, Generic, Callable, ClassVar t = TypeVar('t') class B: pass class C: pass x: Any class A(Generic[t]): f = x # type: ClassVar[Callable[[A[B]], None]] ab: A[B] ac: A[C] ab.f() ac.f() # E: Invalid self argument "A[C]" to attribute function "f" with type "Callable[[A[B]], None]" [case testPartiallyTypedSelfInMethodDataAttribute] from typing import Any, TypeVar, Generic, Callable, ClassVar t = TypeVar('t') class B: pass class C: pass x: Any class A(Generic[t]): f = x # type: ClassVar[Callable[[A], None]] ab: A[B] ac: A[C] ab.f() ac.f() [case testCallableDataAttribute] from typing import Callable, ClassVar class A: g: ClassVar[Callable[[A], None]] def __init__(self, f: Callable[[], None]) -> None: self.f = f a = A(lambda: None) a.f() a.g() a.f(a) # E: Too many arguments a.g(a) # E: Too many arguments -- Nested functions -- ---------------- [case testSimpleNestedFunction] import typing def f(a: 'A') -> None: def g(b: 'B') -> None: if int(): b = a \ # E: Incompatible types in assignment (expression has type "A", variable has type "B") aa = a # type: A # ok b = B() g(a) # E: Argument 1 to "g" has incompatible type "A"; expected "B" g(B()) class A: pass class B: pass [case testReturnAndNestedFunction] import typing def f() -> 'A': def g() -> 'B': return A() # fail return B() return B() # fail return A() class A: pass class B: pass [out] main:4: error: Incompatible return value type (got "A", expected "B") main:6: error: Incompatible return value type (got "B", expected "A") [case testDynamicallyTypedNestedFunction] import typing def f(x: object) -> None: def g(y): pass g() # E: Missing positional argument "y" in call to "g" g(x) [out] [case testNestedFunctionInMethod] import typing class A: def f(self) -> None: def g(x: int) -> None: y = x # type: int a = x # type: A # fail g(2) g(A()) # fail [out] main:6: error: Incompatible types in assignment (expression has type "int", variable has type "A") main:8: error: Argument 1 to "g" has incompatible type "A"; expected "int" [case testNestedFunctionInMethodWithTooFewArgumentsInTypeComment] class A: def f(self): # type: () -> None def g(x): # E: Type signature has too few arguments # type: () -> None pass [case testDeepNestedFunctionWithTooFewArgumentsInTypeComment] class A: def f(self): # type: () -> None class B: def g(self): # type: () -> None def h(x): # E: Type signature has too few arguments # type: () -> None pass [case testDeepNestedMethodInTypeComment] class A: def f(self): # type: () -> None class B: class C: def g(self): # type: () -> None pass [case testMutuallyRecursiveNestedFunctions] def f() -> None: def g() -> None: h(1) h('') # E def h(x: int) -> None: g() g(1) # E [out] main:4: error: Argument 1 to "h" has incompatible type "str"; expected "int" main:7: error: Too many arguments for "g" [case testMutuallyRecursiveDecoratedFunctions] from typing import Callable, Any def dec(f) -> Callable[..., Any]: pass def f() -> None: @dec def g() -> None: h() h.x # E @dec def h(x: int) -> None: g(1) g.x # E [out] main:7: error: "Callable[..., Any]" has no attribute "x" main:11: error: "Callable[..., Any]" has no attribute "x" [case testNestedGenericFunctions] from typing import TypeVar T = TypeVar('T') U = TypeVar('U') def outer(x: T) -> T: def inner(y: U) -> T: ... return inner(1) -- Casts -- ----- [case testCastsToAndFromFunctionTypes] from typing import TypeVar, Callable, Any, cast t = TypeVar('t') def f(x: t, f1: Callable[[], None], f2: Callable[[Any], None], o: object) -> None: x = cast(t, f1) f1 = cast(Callable[[], None], x) f1 = cast(Callable[[], None], f2) f1 = cast(Callable[[], None], o) -- Function decorators -- ------------------- [case testTrivialStaticallyTypedFunctionDecorator] from typing import TypeVar t = TypeVar('t') def dec(f: t) -> t: return f @dec def f(x: int) -> None: pass f(1) f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [case testTrivialStaticallyTypedMethodDecorator] from typing import TypeVar t = TypeVar('t') def dec(f: t) -> t: return f class A: @dec def f(self, x: int) -> None: pass A().f(1) A().f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" class B: pass [case testTrivialDecoratedNestedFunction] from typing import TypeVar t = TypeVar('t') def dec(f: t) -> t: return f def g() -> None: @dec def f(x: int) -> None: pass f(1) f('') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [out] [case testCheckingDecoratedFunction] import typing def dec(f): pass @dec def f(x: 'A') -> None: a = x # type: A if int(): x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") class A: pass [out] [case testDecoratorThatSwitchesType] from typing import Callable def dec(x) -> Callable[[], None]: pass @dec def f(y): pass f() f(None) # E: Too many arguments for "f" [case testDecoratorThatSwitchesTypeWithMethod] from typing import Any, Callable def dec(x) -> Callable[[Any], None]: pass class A: @dec def f(self, a, b, c): pass a: A a.f() a.f(None) # E: Too many arguments for "f" of "A" [case testNestedDecorators] from typing import Any, Callable def dec1(f: Callable[[Any], None]) -> Callable[[], None]: pass def dec2(f: Callable[[Any, Any], None]) -> Callable[[Any], None]: pass @dec1 @dec2 def f(x, y): pass f() f(None) # E: Too many arguments for "f" [case testInvalidDecorator1] from typing import Any, Callable def dec1(f: Callable[[Any], None]) -> Callable[[], None]: pass def dec2(f: Callable[[Any, Any], None]) -> Callable[[Any], None]: pass @dec1 @dec2 # E: Argument 1 to "dec2" has incompatible type "Callable[[Any], Any]"; expected "Callable[[Any, Any], None]" def f(x): pass def faulty(c: Callable[[int], None]) -> Callable[[tuple[int, int]], None]: return lambda x: None @faulty # E: Argument 1 to "faulty" has incompatible type "Callable[[tuple[int, int]], None]"; expected "Callable[[int], None]" @faulty # E: Argument 1 to "faulty" has incompatible type "Callable[[str], None]"; expected "Callable[[int], None]" def g(x: str) -> None: return None [builtins fixtures/tuple.pyi] [case testInvalidDecorator2] from typing import Any, Callable def dec1(f: Callable[[Any, Any], None]) -> Callable[[], None]: pass def dec2(f: Callable[[Any, Any], None]) -> Callable[[Any], None]: pass @dec1 # E: Argument 1 to "dec1" has incompatible type "Callable[[Any], None]"; expected "Callable[[Any, Any], None]" @dec2 def f(x, y): pass [case testNoTypeCheckDecoratorOnMethod1] from typing import no_type_check @no_type_check def foo(x: 'bar', y: {'x': 4}) -> 42: 1 + 'x' [typing fixtures/typing-medium.pyi] [case testNoTypeCheckDecoratorOnMethod2] import typing @typing.no_type_check def foo(x: 's', y: {'x': 4}) -> 42: 1 + 'x' @typing.no_type_check def bar() -> None: 1 + 'x' [typing fixtures/typing-medium.pyi] [case testCallingNoTypeCheckFunction] import typing @typing.no_type_check def foo(x: {1:2}) -> [1]: 1 + 'x' foo() foo(1, 'b') [typing fixtures/typing-medium.pyi] [case testCallingNoTypeCheckFunction2] import typing def f() -> None: foo() @typing.no_type_check def foo(x: {1:2}) -> [1]: 1 + 'x' [typing fixtures/typing-medium.pyi] [case testNoTypeCheckDecoratorSemanticError] import typing @typing.no_type_check def foo(x: {1:2}) -> [1]: x = y [typing fixtures/typing-medium.pyi] -- Forward references to decorated functions -- ----------------------------------------- [case testForwardReferenceToDynamicallyTypedDecorator] def f(self) -> None: g() g(1) def dec(f): return f @dec def g(): pass [case testForwardReferenceToDecoratorWithAnyReturn] from typing import Any def f(self) -> None: g() g(1) def dec(f) -> Any: return f @dec def g(): pass [case testForwardReferenceToDecoratorWithIdentityMapping] from typing import TypeVar def f(self) -> None: g() g(1) # E: Too many arguments for "g" h(1).x # E: "str" has no attribute "x" h('') # E: Argument 1 to "h" has incompatible type "str"; expected "int" T = TypeVar('T') def dec(f: T) -> T: return f @dec def g(): pass @dec def h(x: int) -> str: pass [out] [case testForwardReferenceToDynamicallyTypedDecoratedMethod] def f(self) -> None: A().f(1).y A().f() class A: @dec def f(self, x): pass def dec(f): return f [builtins fixtures/staticmethod.pyi] [case testForwardReferenceToStaticallyTypedDecoratedMethod] from typing import TypeVar def f(self) -> None: A().f(1).y # E: "str" has no attribute "y" A().f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" class A: @dec def f(self, a: int) -> str: return '' T = TypeVar('T') def dec(f: T) -> T: return f [builtins fixtures/staticmethod.pyi] [out] [case testForwardReferenceToDynamicallyTypedProperty] def f(self) -> None: A().x.y class A: @property def x(self): pass [builtins fixtures/property.pyi] [case testForwardReferenceToStaticallyTypedProperty] def f(self) -> None: A().x.y # E: "int" has no attribute "y" class A: @property def x(self) -> int: return 1 [builtins fixtures/property.pyi] [out] [case testForwardReferenceToDynamicallyTypedStaticMethod] def f(self) -> None: A.x(1).y A.x() # E: Missing positional argument "x" in call to "x" class A: @staticmethod def x(x): pass [builtins fixtures/staticmethod.pyi] [out] [case testForwardReferenceToStaticallyTypedStaticMethod] def f(self) -> None: A.x(1).y # E: "str" has no attribute "y" A.x('') # E: Argument 1 to "x" of "A" has incompatible type "str"; expected "int" class A: @staticmethod def x(a: int) -> str: return '' [builtins fixtures/staticmethod.pyi] [out] [case testForwardReferenceToDynamicallyTypedClassMethod] def f(self) -> None: A.x(1).y A.x() # E: Missing positional argument "a" in call to "x" class A: @classmethod def x(cls, a): pass [builtins fixtures/classmethod.pyi] [out] [case testForwardReferenceToStaticallyTypedClassMethod] def f(self) -> None: A.x(1).y # E: "str" has no attribute "y" A.x('') # E: Argument 1 to "x" of "A" has incompatible type "str"; expected "int" class A: @classmethod def x(cls, x: int) -> str: return '' [builtins fixtures/classmethod.pyi] [out] [case testForwardReferenceToDecoratedFunctionUsingMemberExpr] import m def f(self) -> None: g(1).x # E: "str" has no attribute "x" @m.dec def g(x: int) -> str: pass [file m.py] from typing import TypeVar T = TypeVar('T') def dec(f: T) -> T: return f [out] [case testForwardReferenceToFunctionWithMultipleDecorators] # flags: --disable-error-code=used-before-def def f(self) -> None: g() g(1) def dec(f): return f @dec @dec2 def g(): pass def dec2(f): return f [case testForwardReferenceToDynamicallyTypedDecoratedStaticMethod] def f(self) -> None: A().f(1).y A().f() A().g(1).y A().g() class A: @dec @staticmethod def f(self, x): pass @staticmethod @dec def g(self, x): pass def dec(f): return f [builtins fixtures/staticmethod.pyi] [case testForwardRefereceToDecoratedFunctionWithCallExpressionDecorator] # flags: --disable-error-code=used-before-def def f(self) -> None: g() g(1) @dec(1) def g(): pass def dec(f): pass -- Decorator functions in import cycles -- ------------------------------------ [case testDecoratorWithIdentityTypeInImportCycle] import a [file a.py] import b from d import dec @dec def f(x: int) -> None: pass b.g(1) # E [file b.py] import a from d import dec @dec def g(x: str) -> None: pass a.f('') [file d.py] from typing import TypeVar T = TypeVar('T') def dec(f: T) -> T: return f [out] tmp/b.py:5: error: Argument 1 to "f" has incompatible type "str"; expected "int" tmp/a.py:5: error: Argument 1 to "g" has incompatible type "int"; expected "str" [case testDecoratorWithNoAnnotationInImportCycle] import a [file a.py] import b from d import dec @dec def f(x: int) -> None: pass b.g(1, z=4) [file b.py] import a from d import dec @dec def g(x: str) -> None: pass a.f('', y=2) [file d.py] def dec(f): return f [case testDecoratorWithFixedReturnTypeInImportCycle] import a [file a.py] import b from d import dec @dec def f(x: int) -> str: pass b.g(1)() [file b.py] import a from d import dec @dec def g(x: int) -> str: pass a.f(1)() [file d.py] from typing import Callable def dec(f: Callable[[int], str]) -> Callable[[int], str]: return f [out] tmp/b.py:5: error: "str" not callable tmp/a.py:5: error: "str" not callable [case testDecoratorWithCallAndFixedReturnTypeInImportCycle] import a [file a.py] import b from d import dec @dec() def f(x: int) -> str: pass b.g(1)() [file b.py] import a from d import dec @dec() def g(x: int) -> str: pass a.f(1)() [file d.py] from typing import Callable def dec() -> Callable[[Callable[[int], str]], Callable[[int], str]]: pass [out] tmp/b.py:5: error: "str" not callable tmp/a.py:5: error: "str" not callable [case testDecoratorWithCallAndFixedReturnTypeInImportCycleAndDecoratorArgs] import a [file a.py] import b from d import dec @dec(1) def f(x: int) -> str: pass b.g(1)() [file b.py] import a from d import dec @dec(1) def g(x: int) -> str: pass a.f(1)() [file d.py] from typing import Callable def dec(x: str) -> Callable[[Callable[[int], str]], Callable[[int], str]]: pass [out] tmp/b.py:3: error: Argument 1 to "dec" has incompatible type "int"; expected "str" tmp/b.py:5: error: "str" not callable tmp/a.py:3: error: Argument 1 to "dec" has incompatible type "int"; expected "str" tmp/a.py:5: error: "str" not callable [case testUndefinedDecoratorInImportCycle] # cmd: mypy -m foo.base [file foo/__init__.py] import foo.base class Derived(foo.base.Base): def method(self) -> None: pass [file foo/base.py] import foo class Base: @decorator def method(self) -> None: pass [out] tmp/foo/base.py:3: error: Name "decorator" is not defined -- Conditional function definition -- ------------------------------- [case testTypeCheckBodyOfConditionalFunction] from typing import Any x = None # type: Any if x: def f(x: int) -> None: if int(): x = 1 x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [out] [case testCallConditionalFunction] from typing import Any x = None # type: Any if x: def f(x: int) -> None: pass f(1) f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" f(1) f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [case testConditionalFunctionDefinitionWithIfElse] from typing import Any x = None # type: Any if x: def f(x: int) -> None: 'x' + x # fail if int(): x = 1 else: def f(x: int) -> None: x + 'x' # fail if int(): x = 1 f(1) f('x') # fail [builtins fixtures/primitives.pyi] [out] main:5: error: Unsupported operand types for + ("str" and "int") main:10: error: Unsupported operand types for + ("int" and "str") main:14: error: Argument 1 to "f" has incompatible type "str"; expected "int" [case testNestedConditionalFunctionDefinitionWithIfElse] from typing import Any x = None # type: Any def top() -> None: if x: def f(x: int) -> None: if int(): x = 'x' # E: Incompatible types in assignment \ (expression has type "str", variable has type "int") x = 1 else: def f(x: int) -> None: x + 'x' # E: Unsupported operand types for + ("int" and "str") x = 1 f(1) f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [case testUnconditionalRedefinitionOfConditionalFunction] from typing import Any x = None # type: Any if x: def f(): pass def f(): pass # E: Name "f" already defined on line 4 [case testIncompatibleConditionalFunctionDefinition] from typing import Any x = None # type: Any if x: def f(x: int) -> None: pass else: def f(x): pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(x: int) -> None \ # N: Redefinition: \ # N: def f(x: Any) -> Any [case testIncompatibleConditionalFunctionDefinition2] from typing import Any x = None # type: Any if x: def f(x: int) -> None: pass else: def f(y: int) -> None: pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(x: int) -> None \ # N: Redefinition: \ # N: def f(y: int) -> None [case testIncompatibleConditionalFunctionDefinition3] from typing import Any x = None # type: Any if x: def f(x: int) -> None: pass else: def f(x: int = 0) -> None: pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(x: int) -> None \ # N: Redefinition: \ # N: def f(x: int = ...) -> None [case testIncompatibleConditionalFunctionDefinition4] from typing import Any, Union, TypeVar T1 = TypeVar('T1') T2 = TypeVar('T2', bound=Union[int, str]) x = None # type: Any if x: def f(x: T1) -> T1: pass else: def f(x: T2) -> T2: pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def [T1] f(x: T1) -> T1 \ # N: Redefinition: \ # N: def [T2: Union[int, str]] f(x: T2) -> T2 [case testConditionalFunctionDefinitionUsingDecorator1] from typing import Callable def dec(f) -> Callable[[int], None]: pass x = int() if x: @dec def f(): pass else: def f(x: int) -> None: pass [case testConditionalFunctionDefinitionUsingDecorator2] from typing import Callable def dec(f) -> Callable[[int], None]: pass x = int() if x: @dec def f(): pass else: def f(x: str) -> None: pass # E: Incompatible redefinition (redefinition with type "Callable[[str], None]", original type "Callable[[int], None]") [case testConditionalFunctionDefinitionUsingDecorator3] from typing import Callable def dec(f) -> Callable[[int], None]: pass x = int() if x: def f(x: int, /) -> None: pass else: @dec def f(): pass [case testConditionalFunctionDefinitionUsingDecorator4] from typing import Callable def dec(f) -> Callable[[int], None]: pass x = int() if x: def f(x: str) -> None: pass else: @dec def f(): pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(x: str) -> None \ # N: Redefinition: \ # N: def f(int, /) -> None [case testConditionalFunctionDefinitionUnreachable] def bar() -> None: if False: foo = 1 else: def foo(obj): ... def baz() -> None: if False: foo: int = 1 else: def foo(obj): ... # E: Incompatible redefinition (redefinition with type "Callable[[Any], Any]", original type "int") [builtins fixtures/tuple.pyi] [case testConditionalRedefinitionOfAnUnconditionalFunctionDefinition1] from typing import Any def f(x: str) -> None: pass x = None # type: Any if x: def f(x: int) -> None: pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(x: str) -> None \ # N: Redefinition: \ # N: def f(x: int) -> None [case testConditionalRedefinitionOfAnUnconditionalFunctionDefinition2] from typing import Any def f(x: int) -> None: pass # N: "f" defined here x = None # type: Any if x: def f(y: int) -> None: pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(x: int) -> None \ # N: Redefinition: \ # N: def f(y: int) -> None f(x=1) # The first definition takes precedence. f(y=1) # E: Unexpected keyword argument "y" for "f" [case testRedefineFunctionDefinedAsVariable] def g(): pass f = g if g(): def f(): pass f() f(1) # E: Too many arguments [case testRedefineFunctionDefinedAsVariableInitializedToNone] def g(): pass f = None if g(): def f(): pass f() f(1) # E: Too many arguments for "f" [case testRedefineNestedFunctionDefinedAsVariableInitializedToNone] def g() -> None: f = None if object(): def f(x: int) -> None: pass f() # E: Missing positional argument "x" in call to "f" f(1) f('') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [out] [case testRedefineFunctionDefinedAsVariableWithInvalidSignature] def g(): pass f = g if g(): def f(x): pass # E: Incompatible redefinition (redefinition with type "Callable[[Any], Any]", original type "Callable[[], Any]") [case testRedefineFunctionDefinedAsVariableWithVariance1] class B: pass class C(B): pass def g(x: C) -> B: pass f = g if g(C()): def f(x: C) -> C: pass [case testRedefineFunctionDefinedAsVariableWithVariance2] class B: pass class C(B): pass def g(x: C) -> B: pass f = g if g(C()): def f(x: B) -> B: pass [case testRedefineFunctionDefinedAsVariableInitializedToEmptyList] f = [] # E: Need type annotation for "f" (hint: "f: list[] = ...") if object(): def f(): pass # E: Incompatible redefinition f() # E: "list[Any]" not callable f(1) # E: "list[Any]" not callable [builtins fixtures/list.pyi] [case testDefineConditionallyAsImportedAndDecorated] from typing import Callable def dec(f: Callable[[], None]) -> Callable[[], None]: ... if int(): from m import f else: @dec def f(): yield [file m.py] def f() -> None: pass [case testDefineConditionallyAsImportedAndDecoratedWithInference] if int(): from m import f else: from contextlib import contextmanager @contextmanager def f(): yield [file m.py] from contextlib import contextmanager @contextmanager def f(): yield [typing fixtures/typing-medium.pyi] [builtins fixtures/tuple.pyi] -- Conditional method definition -- ----------------------------- [case testTypeCheckBodyOfConditionalMethod] from typing import Any x = None # type: Any class A: if x: def f(self, x: int) -> None: if int(): x = 1 x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [out] [case testCallConditionalMethodInClassBody] from typing import Any x = None # type: Any class A: if x: def f(self, x: int) -> None: pass f(x, 1) f(x, 'x') # E: Argument 2 to "f" of "A" has incompatible type "str"; expected "int" f(x, 1) f(x, 'x') # E: Argument 2 to "f" of "A" has incompatible type "str"; expected "int" [out] [case testCallConditionalMethodViaInstance] from typing import Any x = None # type: Any class A: if x: def f(self, x: int) -> None: pass A().f(1) A().f('x') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [case testConditionalMethodDefinitionWithIfElse] from typing import Any x = None # type: Any class A: if x: def f(self, x: int) -> None: 'x' + x # fail if int(): x = 1 else: def f(self, x: int) -> None: x + 'x' # fail if int(): x = 1 A().f(1) A().f('x') # fail [builtins fixtures/primitives.pyi] [out] main:6: error: Unsupported operand types for + ("str" and "int") main:11: error: Unsupported operand types for + ("int" and "str") main:15: error: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [case testUnconditionalRedefinitionOfConditionalMethod] from typing import Any x = None # type: Any class A: if x: def f(self): pass def f(self): pass # E: Name "f" already defined on line 5 [case testIncompatibleConditionalMethodDefinition] from typing import Any x = None # type: Any class A: if x: def f(self, x: int) -> None: pass else: def f(self, x): pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(self: A, x: int) -> None \ # N: Redefinition: \ # N: def f(self: A, x: Any) -> Any [out] [case testConditionalFunctionDefinitionInTry] import typing try: def f(x: int) -> None: pass except: def g(x: str) -> None: pass f(1) f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" g('x') g(1) # E: Argument 1 to "g" has incompatible type "int"; expected "str" [case testConditionalMethodDefinitionUsingDecorator] from typing import Callable def dec(f) -> Callable[['A', int], None]: pass class A: x = int() if x: @dec def f(self): pass else: def f(self, x: int) -> None: pass -- Callable with specific arg list -- ------------------------------- [case testCallableWithNamedArg] from typing import Callable from mypy_extensions import Arg def a(f: Callable[[Arg(int, 'x')], int]): f(x=4) f(5) f(y=3) # E: Unexpected keyword argument "y" [builtins fixtures/dict.pyi] [case testCallableWithOptionalArg] from typing import Callable from mypy_extensions import DefaultArg def a(f: Callable[[DefaultArg(int, 'x')], int]): f(x=4) f(2) f() f(y=3) # E: Unexpected keyword argument "y" f("foo") # E: Argument 1 has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testCallableWithNamedArgFromExpr] from typing import Callable from mypy_extensions import Arg F = Callable[[Arg(int, 'x')], int] def a(f: F): f(x=4) f(5) f(y=3) # E: Unexpected keyword argument "y" [builtins fixtures/dict.pyi] [case testCallableWithOptionalArgFromExpr] from typing import Callable from mypy_extensions import DefaultArg F = Callable[[DefaultArg(int, 'x')], int] def a(f: F): f(x=4) f(2) f() f(y=3) # E: Unexpected keyword argument "y" f("foo") # E: Argument 1 has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testCallableParsingInInheritance] from collections import namedtuple class C(namedtuple('t', 'x')): pass [builtins fixtures/tuple.pyi] [case testCallableParsingSameName] from typing import Callable def Arg(x, y): pass F = Callable[[Arg(int, 'x')], int] # E: Invalid argument constructor "__main__.Arg" [case testCallableParsingFromExpr] from typing import Callable, List from mypy_extensions import Arg, VarArg, KwArg import mypy_extensions import types # Needed for type checking def WrongArg(x, y): return y # Note that for this test, the 'Value of type "int" is not indexable' errors are silly, # and a consequence of Callable being set to an int in the test stub. We can't set it to # something else sensible, because other tests require the stub not have anything # that looks like a function call. F = Callable[[WrongArg(int, 'x')], int] # E: Invalid argument constructor "__main__.WrongArg" G = Callable[[Arg(1, 'x')], int] # E: Invalid type: try using Literal[1] instead? H = Callable[[VarArg(int, 'x')], int] # E: VarArg arguments should not have names I = Callable[[VarArg(int)], int] # ok J = Callable[[VarArg(), KwArg()], int] # ok K = Callable[[VarArg(), int], int] # E: Required positional args may not appear after default, named or var args L = Callable[[Arg(name='x', type=int)], int] # ok # I have commented out the following test because I don't know how to expect the "defined here" note part of the error. # M = Callable[[Arg(gnome='x', type=int)], int] E: Invalid type alias: expression is not a valid type E: Unexpected keyword argument "gnome" for "Arg" N = Callable[[Arg(name=None, type=int)], int] # ok O = Callable[[List[Arg(int)]], int] # E: Invalid type alias: expression is not a valid type \ # E: Value of type "int" is not indexable \ # E: Type expected within [...] P = Callable[[mypy_extensions.VarArg(int)], int] # ok Q = Callable[[Arg(int, type=int)], int] # E: Invalid type alias: expression is not a valid type \ # E: Value of type "int" is not indexable \ # E: "Arg" gets multiple values for keyword argument "type" R = Callable[[Arg(int, 'x', name='y')], int] # E: Invalid type alias: expression is not a valid type \ # E: Value of type "int" is not indexable \ # E: "Arg" gets multiple values for keyword argument "name" [builtins fixtures/dict.pyi] [case testCallableParsing] from typing import Callable from mypy_extensions import Arg, VarArg, KwArg def WrongArg(x, y): return y def b(f: Callable[[Arg(1, 'x')], int]): pass # Invalid type. Try using Literal[1] instead? def d(f: Callable[[VarArg(int)], int]): pass # ok def e(f: Callable[[VarArg(), KwArg()], int]): pass # ok def g(f: Callable[[Arg(name='x', type=int)], int]): pass # ok def h(f: Callable[[Arg(gnome='x', type=int)], int]): pass # E: Unexpected argument "gnome" for argument constructor def i(f: Callable[[Arg(name=None, type=int)], int]): pass # ok def j(f: Callable[[Arg(int, 'x', name='y')], int]): pass # E: "Arg" gets multiple values for keyword argument "name" def k(f: Callable[[Arg(int, type=int)], int]): pass # E: "Arg" gets multiple values for keyword argument "type" [builtins fixtures/dict.pyi] [case testCallableTypeAnalysis] from typing import Callable from mypy_extensions import Arg, VarArg as VARG, KwArg import mypy_extensions as ext def WrongArg(x, y): return y def a(f: Callable[[WrongArg(int, 'x')], int]): pass # E: Invalid argument constructor "__main__.WrongArg" def b(f: Callable[[BadArg(int, 'x')], int]): pass # E: Name "BadArg" is not defined def d(f: Callable[[ext.VarArg(int)], int]): pass # ok def e(f: Callable[[VARG(), ext.KwArg()], int]): pass # ok def g(f: Callable[[ext.Arg(name='x', type=int)], int]): pass # ok def i(f: Callable[[Arg(name=None, type=int)], int]): pass # ok def f1(*args) -> int: pass def f2(*args, **kwargs) -> int: pass d(f1) e(f2) d(f2) e(f1) [builtins fixtures/dict.pyi] [case testCallableWrongTypeType] from typing import Callable from mypy_extensions import Arg def b(f: Callable[[Arg(1, 'x')], int]): pass # E: Invalid type: try using Literal[1] instead? [builtins fixtures/dict.pyi] [case testCallableTooManyVarArg] from typing import Callable from mypy_extensions import VarArg def c(f: Callable[[VarArg(int, 'x')], int]): pass # E: VarArg arguments should not have names [builtins fixtures/dict.pyi] [case testCallableFastParseGood] from typing import Callable from mypy_extensions import VarArg, Arg, KwArg def d(f: Callable[[VarArg(int)], int]): pass # ok def e(f: Callable[[VarArg(), KwArg()], int]): pass # ok def g(f: Callable[[Arg(name='x', type=int)], int]): pass # ok def i(f: Callable[[Arg(name=None, type=int)], int]): pass # ok [builtins fixtures/dict.pyi] [case testCallableFastParseBadArgArgName] from typing import Callable from mypy_extensions import Arg def h(f: Callable[[Arg(gnome='x', type=int)], int]): pass # E: Unexpected argument "gnome" for argument constructor [builtins fixtures/dict.pyi] [case testCallableKindsOrdering] from typing import Callable, Any from mypy_extensions import Arg, VarArg, KwArg, DefaultArg, NamedArg def f(f: Callable[[VarArg(), int], int]): pass # E: Required positional args may not appear after default, named or var args def g(f: Callable[[VarArg(), VarArg()], int]): pass # E: Var args may not appear after named or var args def h(f: Callable[[KwArg(), KwArg()], int]): pass # E: You may only have one **kwargs argument def i(f: Callable[[DefaultArg(), int], int]): pass # E: Required positional args may not appear after default, named or var args def j(f: Callable[[NamedArg(Any, 'x'), DefaultArg(int, 'y')], int]): pass # E: Positional default args may not appear after named or var args def k(f: Callable[[KwArg(), NamedArg(Any, 'x')], int]): pass # E: A **kwargs argument must be the last argument [builtins fixtures/dict.pyi] [case testCallableDuplicateNames] from typing import Callable from mypy_extensions import Arg, VarArg, KwArg, DefaultArg def f(f: Callable[[Arg(int, 'x'), int, Arg(int, 'x')], int]): pass # E: Duplicate argument "x" in Callable [builtins fixtures/dict.pyi] [case testCallableWithKeywordOnlyArg] from typing import Callable from mypy_extensions import NamedArg def a(f: Callable[[NamedArg(int, 'x')], int]): f(x=4) f(2) # E: Too many positional arguments f() # E: Missing named argument "x" f(y=3) # E: Unexpected keyword argument "y" f(x="foo") # E: Argument "x" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testCallableWithKeywordOnlyOptionalArg] from typing import Callable from mypy_extensions import DefaultNamedArg def a(f: Callable[[DefaultNamedArg(int, 'x')], int]): f(x=4) f(2) # E: Too many positional arguments f() f(y=3) # E: Unexpected keyword argument "y" f(x="foo") # E: Argument "x" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testCallableWithKwargs] from typing import Callable from mypy_extensions import KwArg def a(f: Callable[[KwArg(int)], int]): f(x=4) f(2) # E: Too many arguments f() f(y=3) f(x=4, y=3, z=10) f(x="foo") # E: Argument "x" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testCallableWithVarArg] from typing import Callable from mypy_extensions import VarArg def a(f: Callable[[VarArg(int)], int]): f(x=4) # E: Unexpected keyword argument "x" f(2) f() f(3, 4, 5) f("a") # E: Argument 1 has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testCallableArgKindSubtyping] from typing import Callable from mypy_extensions import Arg, DefaultArg int_str_fun: Callable[[int, str], str] int_opt_str_fun: Callable[[int, DefaultArg(str, None)], str] int_named_str_fun: Callable[[int, Arg(str, 's')], str] def isf(ii: int, ss: str) -> str: return ss def iosf(i: int, s: str = "bar") -> str: return s def isf_unnamed(__i: int, __s: str) -> str: return __s int_str_fun = isf int_str_fun = isf_unnamed int_named_str_fun = isf_unnamed # E: Incompatible types in assignment (expression has type "Callable[[int, str], str]", variable has type "def (int, /, s: str) -> str") int_opt_str_fun = iosf int_str_fun = iosf int_opt_str_fun = isf # E: Incompatible types in assignment (expression has type "def isf(ii: int, ss: str) -> str", variable has type "def (int, str = ..., /) -> str") int_named_str_fun = isf # E: Incompatible types in assignment (expression has type "def isf(ii: int, ss: str) -> str", variable has type "def (int, /, s: str) -> str") int_named_str_fun = iosf [builtins fixtures/dict.pyi] -- Callable[..., T] -- ---------------- [case testCallableWithArbitraryArgs] from typing import Callable def f(x: Callable[..., int]) -> None: x() x(1) x(z=1) x() + '' # E: Unsupported operand types for + ("int" and "str") [out] [case testCallableWithArbitraryArgs2] from typing import Callable def f(x: Callable[..., int]) -> None: x(*[1], **{'x': 2}) [builtins fixtures/dict.pyi] [case testCastWithCallableAndArbitraryArgs] from typing import Callable, cast f = cast(Callable[..., int], None) f(x=4) + '' # E: Unsupported operand types for + ("int" and "str") [case testCallableWithArbitraryArgsInErrorMessage] from typing import Callable def f(x: Callable[..., int]) -> None: if int(): x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Callable[..., int]") [out] [case testCallableWithArbitraryArgsInGenericFunction] from typing import Callable, TypeVar T = TypeVar('T') def f(x: Callable[..., T]) -> T: pass def g(*x: int) -> str: pass x = f(g) x + 1 # E: Unsupported left operand type for + ("str") [builtins fixtures/list.pyi] [case testCallableWithArbitraryArgsSubtyping] from typing import Callable def f(x: Callable[..., int]) -> None: pass def g1(): pass def g2(x, y) -> int: pass def g3(*, y: str) -> int: pass def g4(*, y: int) -> str: pass f(g1) f(g2) f(g3) f(g4) # E: Argument 1 to "f" has incompatible type "def g4(*, y: int) -> str"; expected "Callable[..., int]" [case testCallableWithArbitraryArgsSubtypingWithGenericFunc] from typing import Callable, TypeVar T = TypeVar('T') def f(x: Callable[..., int]) -> None: pass def g1(x: T) -> int: pass def g2(*x: T) -> int: pass def g3(*x: T) -> T: pass f(g1) f(g2) f(g3) [builtins fixtures/tuple.pyi] -- (...) -> T -- ---------------- [case testEllipsisWithArbitraryArgsOnBareFunction] def f(x, y, z): # type: (...) -> None pass f(1, "hello", []) f(x=1, y="hello", z=[]) [builtins fixtures/dict.pyi] [case testEllipsisWithArbitraryArgsOnBareFunctionWithDefaults] def f(x, y=1, z="hey"): # type: (...) -> None pass f(1, "hello", []) f(x=1, y="hello", z=[]) [builtins fixtures/dict.pyi] [case testEllipsisWithArbitraryArgsOnBareFunctionWithKwargs] from typing import Dict def f(x, **kwargs): # type: (...) -> None success_dict_type = kwargs # type: Dict[str, str] failure_dict_type = kwargs # type: Dict[int, str] # E: Incompatible types in assignment (expression has type "dict[str, Any]", variable has type "dict[int, str]") f(1, thing_in_kwargs=["hey"]) [builtins fixtures/dict.pyi] [out] [case testEllipsisWithArbitraryArgsOnBareFunctionWithVarargs] from typing import Tuple, Any def f(x, *args): # type: (...) -> None success_tuple_type = args # type: Tuple[Any, ...] fail_tuple_type = args # type: None # E: Incompatible types in assignment (expression has type "tuple[Any, ...]", variable has type "None") f(1, "hello") [builtins fixtures/tuple.pyi] [out] [case testEllipsisWithArbitraryArgsOnInstanceMethod] class A: def f(self, x, y, z): # type: (...) -> None pass [case testEllipsisWithArbitraryArgsOnClassMethod] class A: @classmethod def f(cls, x, y, z): # type: (...) -> None pass [builtins fixtures/classmethod.pyi] [case testEllipsisWithArbitraryArgsOnStaticMethod] class A: @staticmethod def f(x, y, z): # type: (...) -> None pass [builtins fixtures/staticmethod.pyi] [case testEllipsisWithSomethingAfterItFails] def f(x, y, z): # type: (..., int) -> None pass [out] main:1: error: Ellipses cannot accompany other argument types in function type signature [case testEllipsisWithSomethingBeforeItFails] def f(x, y, z): # type: (int, ...) -> None pass [out] main:1: error: Ellipses cannot accompany other argument types in function type signature [case testRejectCovariantArgument] from typing import TypeVar, Generic t = TypeVar('t', covariant=True) class A(Generic[t]): def foo(self, x: t) -> None: return None [builtins fixtures/bool.pyi] [out] main:5: error: Cannot use a covariant type variable as a parameter [case testRejectCovariantArgumentSplitLine] from typing import TypeVar, Generic t = TypeVar('t', covariant=True) class A(Generic[t]): def foo(self, x: t) -> None: return None [builtins fixtures/bool.pyi] [out] main:6: error: Cannot use a covariant type variable as a parameter [case testRejectCovariantArgumentInLambda] from typing import TypeVar, Generic, Callable t = TypeVar('t', covariant=True) class Thing(Generic[t]): def chain(self, func: Callable[[t], None]) -> None: pass def end(self) -> None: return self.chain( # Note that lambda args have no line numbers lambda _: None) [builtins fixtures/bool.pyi] [out] main:8: error: Cannot use a covariant type variable as a parameter [case testRejectCovariantArgumentInLambdaSplitLine] from typing import TypeVar, Generic, Callable [case testRejectContravariantReturnType] # flags: --no-strict-optional from typing import TypeVar, Generic t = TypeVar('t', contravariant=True) class A(Generic[t]): def foo(self) -> t: return None [builtins fixtures/bool.pyi] [out] main:6: error: Cannot use a contravariant type variable as return type [case testAcceptCovariantReturnType] # flags: --no-strict-optional from typing import TypeVar, Generic t = TypeVar('t', covariant=True) class A(Generic[t]): def foo(self) -> t: return None [builtins fixtures/bool.pyi] [case testAcceptContravariantArgument] from typing import TypeVar, Generic t = TypeVar('t', contravariant=True) class A(Generic[t]): def foo(self, x: t) -> None: return None [builtins fixtures/bool.pyi] -- Redefining functions -- -------------------- [case testRedefineFunction] from typing import Any def f(x) -> Any: pass def g(x, y): pass def h(x): pass def j(y) -> Any: pass f = h f = j # E: Incompatible types in assignment (expression has type "def j(y: Any) -> Any", variable has type "def f(x: Any) -> Any") f = g # E: Incompatible types in assignment (expression has type "Callable[[Any, Any], Any]", variable has type "Callable[[Any], Any]") [case testRedefineFunction2] def f() -> None: pass def f() -> None: pass # E: Name "f" already defined on line 1 -- Special cases -- ------------- [case testFunctionDefinitionWithForStatement] for _ in [1]: def f(): pass else: def g(): pass f() g() [builtins fixtures/list.pyi] [case testFunctionDefinitionWithWhileStatement] while bool(): def f(): pass else: def g(): pass f() g() [builtins fixtures/bool.pyi] [case testBareCallable] from typing import Callable, Any def foo(f: Callable) -> bool: return f() def f1() -> bool: return False foo(f1) [builtins fixtures/bool.pyi] [case testFunctionNestedWithinWith] from typing import Any a = 1 # type: Any with a: def f() -> None: pass f(1) # E: Too many arguments for "f" [case testNameForDecoratorMethod] from typing import Callable class A: def f(self) -> None: # In particular, test that the error message contains "g" of "A". self.g() # E: Too few arguments for "g" of "A" self.g(1) @dec def g(self, x: str) -> None: pass def dec(f: Callable[[A, str], None]) -> Callable[[A, int], None]: pass [out] [case testUnknownFunctionNotCallable] from typing import TypeVar def f() -> None: pass def g(x: int) -> None: pass h = f if bool() else g reveal_type(h) # N: Revealed type is "Union[def (), def (x: builtins.int)]" h(7) # E: Too many arguments for "f" T = TypeVar("T") def join(x: T, y: T) -> T: ... h2 = join(f, g) reveal_type(h2) # N: Revealed type is "builtins.function" h2(7) # E: Cannot call function of unknown type h3 = join(g, f) reveal_type(h3) # N: Revealed type is "builtins.function" h3(7) # E: Cannot call function of unknown type [builtins fixtures/bool.pyi] [case testFunctionWithNameUnderscore] def _(x: int) -> None: pass _(1) _('x') # E: Argument 1 to "_" has incompatible type "str"; expected "int" -- Positional-only arguments -- ------------------------- [case testPositionalOnlyArg] def f(__a: int) -> None: pass def g(__a__: int) -> None: pass f(1) f(__a=1) # E: Unexpected keyword argument "__a" for "f" g(1) # Argument names that also end with __ are not positional-only. g(__a__=1) [builtins fixtures/bool.pyi] [out] main:1: note: "f" defined here [case testMagicMethodPositionalOnlyArg] class A(object): def __eq__(self, other) -> bool: return True # We are all equal. # N: "__eq__" of "A" defined here a = A() a.__eq__(a) a.__eq__(other=a) # E: Unexpected keyword argument "other" for "__eq__" of "A" [builtins fixtures/bool.pyi] [case testMagicMethodPositionalOnlyArgFastparse] class A(object): def __eq__(self, other) -> bool: return True # We are all equal. # N: "__eq__" of "A" defined here a = A() a.__eq__(a) a.__eq__(other=a) # E: Unexpected keyword argument "other" for "__eq__" of "A" [builtins fixtures/bool.pyi] -- Type variable shenanigans -- ------------------------- [case testGenericFunctionTypeDecl] from typing import Callable, TypeVar T = TypeVar('T') f: Callable[[T], T] reveal_type(f) # N: Revealed type is "def [T] (T`-1) -> T`-1" def g(__x: T) -> T: pass f = g reveal_type(f) # N: Revealed type is "def [T] (T`-1) -> T`-1" i = f(3) reveal_type(i) # N: Revealed type is "builtins.int" [case testFunctionReturningGenericFunction] from typing import Callable, TypeVar T = TypeVar('T') def deco() -> Callable[[T], T]: pass reveal_type(deco) # N: Revealed type is "def () -> def [T] (T`-1) -> T`-1" f = deco() reveal_type(f) # N: Revealed type is "def [T] (T`1) -> T`1" i = f(3) reveal_type(i) # N: Revealed type is "builtins.int" [case testFunctionReturningGenericFunctionPartialBinding] from typing import Callable, TypeVar T = TypeVar('T') U = TypeVar('U') def deco(x: U) -> Callable[[T, U], T]: pass reveal_type(deco) # N: Revealed type is "def [U] (x: U`-1) -> def [T] (T`-2, U`-1) -> T`-2" f = deco("foo") reveal_type(f) # N: Revealed type is "def [T] (T`1, builtins.str) -> T`1" i = f(3, "eggs") reveal_type(i) # N: Revealed type is "builtins.int" [case testFunctionReturningGenericFunctionTwoLevelBinding] from typing import Callable, TypeVar T = TypeVar('T') R = TypeVar('R') def deco() -> Callable[[T], Callable[[T, R], R]]: pass f = deco() reveal_type(f) # N: Revealed type is "def [T] (T`2) -> def [R] (T`2, R`1) -> R`1" g = f(3) reveal_type(g) # N: Revealed type is "def [R] (builtins.int, R`3) -> R`3" s = g(4, "foo") reveal_type(s) # N: Revealed type is "builtins.str" [case testGenericFunctionReturnAsDecorator] from typing import Callable, TypeVar T = TypeVar('T') def deco(__i: int) -> Callable[[T], T]: pass @deco(3) def lol(x: int) -> str: ... reveal_type(lol) # N: Revealed type is "def (x: builtins.int) -> builtins.str" s = lol(4) reveal_type(s) # N: Revealed type is "builtins.str" [case testGenericFunctionOnReturnTypeOnly] from typing import TypeVar, List T = TypeVar('T') def make_list() -> List[T]: pass l: List[int] = make_list() bad = make_list() # E: Need type annotation for "bad" (hint: "bad: list[] = ...") [builtins fixtures/list.pyi] [case testAnonymousArgumentError] def foo(__b: int, x: int, y: int) -> int: pass foo(x=2, y=2) # E: Too few arguments for "foo" foo(y=2) # E: Too few arguments for "foo" [case testMissingArgumentError] def f(a, b, c, d=None) -> None: pass f(1, 2, d=3) # E: Missing positional argument "c" in call to "f" [case testMissingArgumentErrorMoreThanOneOptional] def f(a: int, b=None, c=None) -> None: pass f(b=4) # E: Missing positional argument "a" in call to "f" [case testMissingArgumentsError] def f(a, b, c, d=None) -> None: pass f(1, d=3) # E: Missing positional arguments "b", "c" in call to "f" [case testReturnTypeLineNumberWithDecorator] def dec(f): pass @dec def test(a: str) -> (str,): # E: Syntax error in type annotation # N: Suggestion: Is there a spurious trailing comma? return None [case testReturnTypeLineNumberNewLine] def fn(a: str ) -> badtype: # E: Name "badtype" is not defined pass [case testArgumentTypeLineNumberWithDecorator] def dec(f): pass @dec def some_method(self: badtype): pass # E: Name "badtype" is not defined [case TestArgumentTypeLineNumberNewline] def fn( a: badtype) -> None: # E: Name "badtype" is not defined pass [case testInferredTypeSubTypeOfReturnType] from typing import Union, Dict, List def f() -> List[Union[str, int]]: x = ['a'] return x # E: Incompatible return value type (got "list[str]", expected "list[Union[str, int]]") \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant \ # N: Perhaps you need a type annotation for "x"? Suggestion: "list[Union[str, int]]" def g() -> Dict[str, Union[str, int]]: x = {'a': 'a'} return x # E: Incompatible return value type (got "dict[str, str]", expected "dict[str, Union[str, int]]") \ # N: "dict" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Mapping" instead, which is covariant in the value type \ # N: Perhaps you need a type annotation for "x"? Suggestion: "dict[str, Union[str, int]]" def h() -> Dict[Union[str, int], str]: x = {'a': 'a'} return x # E: Incompatible return value type (got "dict[str, str]", expected "dict[Union[str, int], str]") \ # N: Perhaps you need a type annotation for "x"? Suggestion: "dict[Union[str, int], str]" def i() -> List[Union[int, float]]: x: List[int] = [1] return x # E: Incompatible return value type (got "list[int]", expected "list[Union[int, float]]") \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant [builtins fixtures/dict.pyi] [case testInferredTypeNotSubTypeOfReturnType] from typing import Union, List def f() -> List[Union[int, float]]: x = ['a'] return x # E: Incompatible return value type (got "list[str]", expected "list[Union[int, float]]") def g() -> List[Union[str, int]]: x = ('a', 2) return x # E: Incompatible return value type (got "tuple[str, int]", expected "list[Union[str, int]]") [builtins fixtures/list.pyi] [case testInferredTypeIsObjectMismatch] from typing import Union, Dict, List def f() -> Dict[str, Union[str, int]]: x = {'a': 'a', 'b': 2} return x # E: Incompatible return value type (got "dict[str, object]", expected "dict[str, Union[str, int]]") def g() -> Dict[str, Union[str, int]]: x: Dict[str, Union[str, int]] = {'a': 'a', 'b': 2} return x def h() -> List[Union[str, int]]: x = ['a', 2] return x # E: Incompatible return value type (got "list[object]", expected "list[Union[str, int]]") def i() -> List[Union[str, int]]: x: List[Union[str, int]] = ['a', 2] return x [builtins fixtures/dict.pyi] [case testLambdaSemanal] f = lambda: xyz [out] main:1: error: Name "xyz" is not defined [case testLambdaTypeCheck] f = lambda: 1 + '1' [out] main:1: error: Unsupported operand types for + ("int" and "str") [case testLambdaTypeInference] f = lambda: 5 reveal_type(f) [out] main:2: note: Revealed type is "def () -> builtins.int" [case testRevealLocalsFunction] a = 1.0 class A: pass def f(a: int, b: int) -> int: reveal_locals() c = a + b class C: pass reveal_locals() return c reveal_locals() [out] main:6: note: Revealed local types are: main:6: note: a: builtins.int main:6: note: b: builtins.int main:9: note: Revealed local types are: main:9: note: a: builtins.int main:9: note: b: builtins.int main:9: note: c: builtins.int main:12: note: Revealed local types are: main:12: note: a: builtins.float [case testNoComplainOverloadNone] # flags: --no-strict-optional from typing import overload, Optional @overload def bar(x: None) -> None: ... @overload def bar(x: int) -> str: ... def bar(x: Optional[int]) -> Optional[str]: if x is None: return None return "number" reveal_type(bar(None)) # N: Revealed type is "None" [builtins fixtures/isinstance.pyi] [out] [case testNoComplainOverloadNoneStrict] from typing import overload, Optional @overload def bar(x: None) -> None: ... @overload def bar(x: int) -> str: ... def bar(x: Optional[int]) -> Optional[str]: if x is None: return None return "number" reveal_type(bar(None)) # N: Revealed type is "None" [builtins fixtures/isinstance.pyi] [out] [case testNoComplainInferredNone] # flags: --no-strict-optional from typing import TypeVar, Optional T = TypeVar('T') def X(val: T) -> T: ... x_in = None def Y(x: Optional[str] = X(x_in)): ... xx: Optional[int] = X(x_in) [out] [case testNoComplainInferredNoneStrict] from typing import TypeVar, Optional T = TypeVar('T') def X(val: T) -> T: ... x_in = None def Y(x: Optional[str] = X(x_in)): ... xx: Optional[int] = X(x_in) [out] [case testNoComplainNoneReturnFromUntyped] def foo() -> None: pass def lol(): x = foo() [case testConditionalImportFunction] import p [file p/__init__.py] if int(): from p.a import f elif int(): from p.b import f else: from p.c import f [file p/a.py] def f() -> int: ... [file p/b.py] from p.d import f [file p/c.py] def f() -> int: ... [file p/d.py] import p def f() -> int: ... [case testLambdaDefaultTypeErrors] lambda a=(1 + 'asdf'): a # E: Unsupported operand types for + ("int" and "str") lambda a=nonsense: a # E: Name "nonsense" is not defined def f(x: int = i): # E: Name "i" is not defined i = 42 [case testRevealTypeOfCallExpressionReturningNoneWorks] def foo() -> None: pass reveal_type(foo()) # N: Revealed type is "None" [case testAnyArgument] def a(b: any): pass # E: Function "builtins.any" is not valid as a type \ # N: Perhaps you meant "typing.Any" instead of "any"? [builtins fixtures/any.pyi] [case testCallableArgument] def a(b: callable): pass # E: Function "builtins.callable" is not valid as a type \ # N: Perhaps you meant "typing.Callable" instead of "callable"? [builtins fixtures/callable.pyi] [case testDecoratedProperty] from typing import TypeVar, Callable, final T = TypeVar("T") def dec(f: Callable[[T], int]) -> Callable[[T], str]: ... def dec2(f: T) -> T: ... class A: @property @dec def f(self) -> int: pass @property @dec2 def g(self) -> int: pass reveal_type(A().f) # N: Revealed type is "builtins.str" reveal_type(A().g) # N: Revealed type is "builtins.int" class B: @final @property @dec def f(self) -> int: pass reveal_type(B().f) # N: Revealed type is "builtins.str" class C: @property # E: Only instance methods can be decorated with @property @classmethod def f(cls) -> int: pass reveal_type(C().f) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [out] [case testDecoratedPropertySetter] from typing import TypeVar, Callable, final T = TypeVar("T") def dec(f: T) -> T: ... class A: @property @dec def f(self) -> int: pass @f.setter @dec def f(self, v: int) -> None: pass reveal_type(A().f) # N: Revealed type is "builtins.int" class B: @property @dec def f(self) -> int: pass @dec # E: Only supported top decorators are "@f.setter" and "@f.deleter" @f.setter def f(self, v: int) -> None: pass class C: @dec # E: Decorators on top of @property are not supported @property def f(self) -> int: pass @f.setter @dec def f(self, v: int) -> None: pass [builtins fixtures/property.pyi] [case testInvalidArgCountForProperty] from typing import Callable, TypeVar T = TypeVar("T") def dec(f: Callable[[T], int]) -> Callable[[T, int], int]: ... class A: @property # E: Too many arguments for property def f(self, x) -> int: pass @property # E: Too many arguments for property @dec def e(self) -> int: pass @property def g() -> int: pass # E: Method must have at least one argument. Did you forget the "self" argument? @property def h(self, *args, **kwargs) -> int: pass # OK [builtins fixtures/property.pyi] [case testSubtypingUnionGenericBounds] from typing import Callable, TypeVar, Union, Sequence TI = TypeVar("TI", bound=int) TS = TypeVar("TS", bound=str) f: Callable[[Sequence[TI]], None] g: Callable[[Union[Sequence[TI], Sequence[TS]]], None] f = g [case testOverrideDecoratedProperty] class Base: @property def foo(self) -> int: ... class decorator: def __init__(self, fn): self.fn = fn def __call__(self, decorated_self) -> int: return self.fn(decorated_self) class Child(Base): @property @decorator def foo(self) -> int: return 42 reveal_type(Child().foo) # N: Revealed type is "builtins.int" Child().foo = 1 # E: Property "foo" defined in "Child" is read-only reveal_type(Child().foo) # N: Revealed type is "builtins.int" class BadChild1(Base): @decorator def foo(self) -> int: # E: Signature of "foo" incompatible with supertype "Base" \ # N: Superclass: \ # N: int \ # N: Subclass: \ # N: decorator return 42 class not_a_decorator: def __init__(self, fn): ... class BadChild2(Base): # Override error not shown as accessing 'foo' on BadChild2 returns Any. @property @not_a_decorator def foo(self) -> int: return 42 reveal_type(BadChild2().foo) # E: "not_a_decorator" not callable \ # N: Revealed type is "Any" [builtins fixtures/property.pyi] [case explicitOverride] # flags: --python-version 3.12 from typing import override class A: def f(self, x: int) -> str: pass @override def g(self, x: int) -> str: pass # E: Method "g" is marked as an override, but no base method was found with this name class B(A): @override def f(self, x: int) -> str: pass @override def g(self, x: int) -> str: pass class C(A): @override def f(self, x: str) -> str: pass # E: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides def g(self, x: int) -> str: pass class D(A): pass class E(D): pass class F(E): @override def f(self, x: int) -> str: pass [typing fixtures/typing-override.pyi] [case explicitOverrideStaticmethod] # flags: --python-version 3.12 from typing import override class A: @staticmethod def f(x: int) -> str: pass class B(A): @staticmethod @override def f(x: int) -> str: pass @override @staticmethod def g(x: int) -> str: pass # E: Method "g" is marked as an override, but no base method was found with this name class C(A): # inverted order of decorators @override @staticmethod def f(x: int) -> str: pass @override @staticmethod def g(x: int) -> str: pass # E: Method "g" is marked as an override, but no base method was found with this name class D(A): @staticmethod @override def f(x: str) -> str: pass # E: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [typing fixtures/typing-override.pyi] [builtins fixtures/staticmethod.pyi] [case explicitOverrideClassmethod] # flags: --python-version 3.12 from typing import override class A: @classmethod def f(cls, x: int) -> str: pass class B(A): @classmethod @override def f(cls, x: int) -> str: pass @override @classmethod def g(cls, x: int) -> str: pass # E: Method "g" is marked as an override, but no base method was found with this name class C(A): # inverted order of decorators @override @classmethod def f(cls, x: int) -> str: pass @override @classmethod def g(cls, x: int) -> str: pass # E: Method "g" is marked as an override, but no base method was found with this name class D(A): @classmethod @override def f(cls, x: str) -> str: pass # E: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [typing fixtures/typing-override.pyi] [builtins fixtures/classmethod.pyi] [case explicitOverrideProperty] # flags: --python-version 3.12 from typing import override class A: @property def f(self) -> str: pass class B(A): @property @override def f(self) -> str: pass @override @property def g(self) -> str: pass # E: Method "g" is marked as an override, but no base method was found with this name class C(A): # inverted order of decorators @override @property def f(self) -> str: pass @override @property def g(self) -> str: pass # E: Method "g" is marked as an override, but no base method was found with this name class D(A): @property @override def f(self) -> int: pass # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: int [typing fixtures/typing-override.pyi] [builtins fixtures/property.pyi] [case explicitOverrideSettableProperty] # flags: --python-version 3.12 from typing import override class A: @property def f(self) -> str: pass @f.setter def f(self, value: str) -> None: pass class B(A): @property # E: Read-only property cannot override read-write property @override def f(self) -> str: pass class C(A): @override @property def f(self) -> str: pass @f.setter def f(self, value: str) -> None: pass class D(A): @override # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: int @property def f(self) -> int: pass @f.setter def f(self, value: int) -> None: pass [typing fixtures/typing-override.pyi] [builtins fixtures/property.pyi] [case invalidExplicitOverride] # flags: --python-version 3.12 from typing import override @override # E: "override" used with a non-method def f(x: int) -> str: pass @override # this should probably throw an error but the signature from typeshed should ensure this already class A: pass def g() -> None: @override # E: "override" used with a non-method def h(b: bool) -> int: pass [typing fixtures/typing-override.pyi] [case explicitOverrideSpecialMethods] # flags: --python-version 3.12 from typing import override class A: def __init__(self, a: int) -> None: pass class B(A): @override def __init__(self, b: str) -> None: pass class C: @override def __init__(self, a: int) -> None: pass [typing fixtures/typing-override.pyi] [case explicitOverrideFromExtensions] from typing_extensions import override class A: def f(self, x: int) -> str: pass class B(A): @override def f2(self, x: int) -> str: pass # E: Method "f2" is marked as an override, but no base method was found with this name [builtins fixtures/tuple.pyi] [case explicitOverrideOverloads] # flags: --python-version 3.12 from typing import overload, override class A: def f(self, x: int) -> str: pass class B(A): @overload # E: Method "f2" is marked as an override, but no base method was found with this name def f2(self, x: int) -> str: pass @overload def f2(self, x: str) -> str: pass @override def f2(self, x: int | str) -> str: pass [typing fixtures/typing-override.pyi] [case explicitOverrideNotOnOverloadsImplementation] # flags: --python-version 3.12 from typing import overload, override class A: def f(self, x: int) -> str: pass class B(A): @overload # E: Method "f2" is marked as an override, but no base method was found with this name def f2(self, x: int) -> str: pass @override @overload def f2(self, x: str) -> str: pass def f2(self, x: int | str) -> str: pass class C(A): @overload def f(self, y: int) -> str: pass @override @overload def f(self, y: str) -> str: pass def f(self, y: int | str) -> str: pass [typing fixtures/typing-override.pyi] [case explicitOverrideOnMultipleOverloads] # flags: --python-version 3.12 from typing import overload, override class A: def f(self, x: int) -> str: pass class B(A): @override # E: Method "f2" is marked as an override, but no base method was found with this name @overload def f2(self, x: int) -> str: pass @override @overload def f2(self, x: str) -> str: pass def f2(self, x: int | str) -> str: pass class C(A): @overload def f(self, y: int) -> str: pass @override @overload def f(self, y: str) -> str: pass @override def f(self, y: int | str) -> str: pass [typing fixtures/typing-override.pyi] [case explicitOverrideCyclicDependency] # flags: --python-version 3.12 import b [file a.py] from typing import override import b import c class A(b.B): @override # This is fine @c.deco def meth(self) -> int: ... [file b.py] import a import c class B: @c.deco def meth(self) -> int: ... [file c.py] from typing import TypeVar, Tuple, Callable T = TypeVar('T') def deco(f: Callable[..., T]) -> Callable[..., Tuple[T, int]]: ... [builtins fixtures/tuple.pyi] [typing fixtures/typing-override.pyi] [case requireExplicitOverrideMethod] # flags: --enable-error-code explicit-override --python-version 3.12 from typing import override class A: def f(self, x: int) -> str: pass class B(A): @override def f(self, y: int) -> str: pass class C(A): def f(self, y: int) -> str: pass # E: Method "f" is not using @override but is overriding a method in class "__main__.A" class D(B): def f(self, y: int) -> str: pass # E: Method "f" is not using @override but is overriding a method in class "__main__.B" [typing fixtures/typing-override.pyi] [case requireExplicitOverrideSpecialMethod] # flags: --enable-error-code explicit-override --python-version 3.12 from typing import Callable, Self, TypeVar, override, overload T = TypeVar('T') def some_decorator(f: Callable[..., T]) -> Callable[..., T]: ... # Don't require override decorator for __init__ and __new__ # See: https://github.com/python/typing/issues/1376 class A: def __init__(self) -> None: pass def __new__(cls) -> Self: pass class B(A): def __init__(self) -> None: pass def __new__(cls) -> Self: pass class C(A): @some_decorator def __init__(self) -> None: pass @some_decorator def __new__(cls) -> Self: pass class D(A): @overload def __init__(self, x: int) -> None: ... @overload def __init__(self, x: str) -> None: ... def __init__(self, x): pass @overload def __new__(cls, x: int) -> Self: pass @overload def __new__(cls, x: str) -> Self: pass def __new__(cls, x): pass [typing fixtures/typing-override.pyi] [case requireExplicitOverrideProperty] # flags: --enable-error-code explicit-override --python-version 3.12 from typing import override class A: @property def prop(self) -> int: pass class B(A): @override @property def prop(self) -> int: pass class C(A): @property def prop(self) -> int: pass # E: Method "prop" is not using @override but is overriding a method in class "__main__.A" [typing fixtures/typing-override.pyi] [builtins fixtures/property.pyi] [case requireExplicitOverrideOverload] # flags: --enable-error-code explicit-override --python-version 3.12 from typing import overload, override class A: @overload def f(self, x: int) -> str: ... @overload def f(self, x: str) -> str: ... def f(self, x): pass class B(A): @overload def f(self, y: int) -> str: ... @overload def f(self, y: str) -> str: ... @override def f(self, y): pass class C(A): @overload @override def f(self, y: int) -> str: ... @overload def f(self, y: str) -> str: ... def f(self, y): pass class D(A): @overload def f(self, y: int) -> str: ... @overload def f(self, y: str) -> str: ... def f(self, y): pass # E: Method "f" is not using @override but is overriding a method in class "__main__.A" [typing fixtures/typing-override.pyi] [case requireExplicitOverrideMultipleInheritance] # flags: --enable-error-code explicit-override --python-version 3.12 from typing import override class A: def f(self, x: int) -> str: pass class B: def f(self, y: int) -> str: pass class C(A, B): @override def f(self, z: int) -> str: pass class D(A, B): def f(self, z: int) -> str: pass # E: Method "f" is not using @override but is overriding a method in class "__main__.A" [typing fixtures/typing-override.pyi] [case testExplicitOverrideAllowedForPrivate] # flags: --enable-error-code explicit-override --python-version 3.12 class B: def __f(self, y: int) -> str: pass class C(B): def __f(self, y: int) -> str: pass # OK [typing fixtures/typing-override.pyi] [case testOverrideUntypedDef] # flags: --python-version 3.12 from typing import override class Parent: pass class Child(Parent): @override def foo(self, y): pass # E: Method "foo" is marked as an override, but no base method was found with this name [typing fixtures/typing-override.pyi] [case testOverrideOnUnknownBaseClass] # flags: --python-version 3.12 from typing import overload, override from unknown import UnknownParent # type: ignore[import-not-found] class UnknownChild(UnknownParent): @override def foo(self, y): pass # OK @override def bar(self, y: str) -> None: pass # OK @override @overload def baz(self, y: str) -> None: ... @override @overload def baz(self, y: int) -> None: ... def baz(self, y: str | int) -> None: ... [typing fixtures/typing-override.pyi] [case testCallableProperty] from typing import Callable class something_callable: def __call__(self, fn) -> str: ... def decorator(fn: Callable[..., int]) -> something_callable: ... class A: @property @decorator def f(self) -> int: ... reveal_type(A.f) # N: Revealed type is "__main__.something_callable" reveal_type(A().f) # N: Revealed type is "builtins.str" [builtins fixtures/property.pyi] [case testFinalOverrideOnUntypedDef] from typing import final class Base: @final def foo(self): pass class Derived(Base): def foo(self): # E: Cannot override final attribute "foo" (previously declared in base class "Base") pass [case testTypeVarIdClashPolymorphic] from typing import Callable, Generic, TypeVar A = TypeVar("A") B = TypeVar("B") class Gen(Generic[A]): ... def id_(x: A) -> A: ... def f(x: Gen[A], y: A) -> Gen[Gen[A]]: ... def g(x: Gen[A], id_: Callable[[B], B], f: Callable[[A, B], Gen[A]]) -> A: ... def test(x: Gen[Gen[A]]) -> Gen[A]: return g(x, id_, f) # Technically OK x: Gen[Gen[int]] reveal_type(g(x, id_, f)) # N: Revealed type is "__main__.Gen[builtins.int]" def h(x: A, y: A) -> A: ... def gn(id_: Callable[[B], B], step: Callable[[A, B], A]) -> A: ... def fn(x: A) -> A: return gn(id_, h) # Technically OK [case testTypeVarIdsNested] from typing import Callable, TypeVar A = TypeVar("A") B = TypeVar("B") def f(x: Callable[[A], A]) -> Callable[[B], B]: def g(x: B) -> B: ... return g reveal_type(f(f)) # N: Revealed type is "def [B] (B`1) -> B`1" reveal_type(f(f)(f)) # N: Revealed type is "def [A] (x: def (A`-1) -> A`-1) -> def [B] (B`-2) -> B`-2" [case testGenericUnionFunctionJoin] from typing import TypeVar, Union T = TypeVar("T") S = TypeVar("S") def f(x: T, y: S) -> Union[T, S]: ... def g(x: T, y: S) -> Union[T, S]: ... x = [f, g] reveal_type(x) # N: Revealed type is "builtins.list[def [T, S] (x: T`4, y: S`5) -> Union[T`4, S`5]]" [builtins fixtures/list.pyi] [case testTypeVariableClashErrorMessage] from typing import TypeVar T = TypeVar("T") class C: # Note: Generic[T] missing def bad_idea(self, x: T) -> None: self.x = x def nope(self, x: T) -> None: self.x = x # E: Incompatible types in assignment (expression has type "T@nope", variable has type "T@bad_idea") [case testNoCrashOnBadCallablePropertyOverride] from typing import Callable, Union class C: ... class D: ... A = Callable[[C], None] B = Callable[[D], None] class Foo: @property def method(self) -> Callable[[int, Union[A, B]], None]: ... class Bar(Foo): @property def method(self) -> Callable[[int, A], None]: # E: Argument 2 of "method" is incompatible with supertype "Foo"; supertype defines the argument type as "Union[Callable[[C], None], Callable[[D], None]]" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides ... [builtins fixtures/property.pyi] [case testNoCrashOnUnpackOverride] from typing import TypedDict, Unpack class Params(TypedDict): x: int y: str class Other(TypedDict): x: int y: int class B: def meth(self, **kwargs: Unpack[Params]) -> None: ... class C(B): def meth(self, **kwargs: Unpack[Other]) -> None: # E: Signature of "meth" incompatible with supertype "B" \ # N: Superclass: \ # N: def meth(*, x: int, y: str) -> None \ # N: Subclass: \ # N: def meth(*, x: int, y: int) -> None ... [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testOverrideErrorLocationNamed] class B: def meth( self, *, x: int, y: str, ) -> None: ... class C(B): def meth( self, *, y: int, # E: Argument 1 of "meth" is incompatible with supertype "B"; supertype defines the argument type as "str" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides x: int, ) -> None: ... [builtins fixtures/tuple.pyi] [case testLambdaAlwaysAllowed] # flags: --disallow-untyped-calls from typing import Callable, Optional def func() -> Optional[str]: ... var: Optional[str] factory: Callable[[], Optional[str]] for factory in ( lambda: var, func, ): reveal_type(factory) # N: Revealed type is "def () -> Union[builtins.str, None]" var = factory() [builtins fixtures/tuple.pyi] [case testLambdaInDeferredDecoratorNoCrash] def foo(x): pass class Bar: def baz(self, x): pass class Qux(Bar): @foo(lambda x: None) def baz(self, x) -> None: pass [builtins fixtures/tuple.pyi] [case testGeneratorInDeferredDecoratorNoCrash] from typing import Protocol, TypeVar T = TypeVar("T", covariant=True) class SupportsNext(Protocol[T]): def __next__(self) -> T: ... def next(i: SupportsNext[T]) -> T: ... def foo(x): pass class Bar: def baz(self, x): pass class Qux(Bar): @next(f for f in [foo]) def baz(self, x) -> None: pass [builtins fixtures/tuple.pyi] [case testDistinctFormatting] from typing import Awaitable, Callable, ParamSpec P = ParamSpec("P") class A: pass class B(A): pass def decorator(f: Callable[P, None]) -> Callable[[Callable[P, A]], None]: return lambda _: None def key(x: int) -> None: ... def fn_b(b: int) -> B: ... decorator(key)(fn_b) # E: Argument 1 has incompatible type "def fn_b(b: int) -> B"; expected "def (x: int) -> A" def decorator2(f: Callable[P, None]) -> Callable[ [Callable[P, Awaitable[None]]], Callable[P, Awaitable[None]], ]: return lambda f: f def key2(x: int) -> None: ... @decorator2(key2) # E: Argument 1 has incompatible type "def foo2(y: int) -> Coroutine[Any, Any, None]"; expected "def (x: int) -> Awaitable[None]" async def foo2(y: int) -> None: ... class Parent: def method_without(self) -> "Parent": ... def method_with(self, param: str) -> "Parent": ... class Child(Parent): method_without: Callable[[], "Child"] method_with: Callable[[str], "Child"] # E: Incompatible types in assignment (expression has type "Callable[[str], Child]", base class "Parent" defined the type as "def method_with(self, param: str) -> Parent") [builtins fixtures/tuple.pyi] [case testDistinctFormattingUnion] from typing import Callable, Union from mypy_extensions import Arg def f(x: Callable[[Arg(int, 'x')], None]) -> None: pass y: Callable[[Union[int, str]], None] f(y) # E: Argument 1 to "f" has incompatible type "Callable[[Union[int, str]], None]"; expected "def (x: int) -> None" [builtins fixtures/tuple.pyi] [case testAbstractOverloadsWithoutImplementationAllowed] from abc import abstractmethod from typing import overload, Union class Foo: @overload @abstractmethod def foo(self, value: int) -> int: ... @overload @abstractmethod def foo(self, value: str) -> str: ... class Bar(Foo): @overload def foo(self, value: int) -> int: ... @overload def foo(self, value: str) -> str: ... def foo(self, value: Union[int, str]) -> Union[int, str]: return super().foo(value) # E: Call to abstract method "foo" of "Foo" with trivial body via super() is unsafe [case fullNamesOfImportedBaseClassesDisplayed] from a import A class B(A): def f(self, x: str) -> None: # E: Argument 1 of "f" is incompatible with supertype "a.A"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides ... def g(self, x: str) -> None: # E: Signature of "g" incompatible with supertype "a.A" \ # N: Superclass: \ # N: def g(self) -> None \ # N: Subclass: \ # N: def g(self, x: str) -> None ... [file a.py] class A: def f(self, x: int) -> None: ... def g(self) -> None: ... [case testBoundMethodsAssignedInClassBody] from typing import Callable class A: def f(self, x: int) -> str: pass @classmethod def g(cls, x: int) -> str: pass @staticmethod def h(x: int) -> str: pass attr: Callable[[int], str] class C: x1 = A.f x2 = A.g x3 = A().f x4 = A().g x5 = A.h x6 = A().h x7 = A().attr reveal_type(C.x1) # N: Revealed type is "def (self: __main__.A, x: builtins.int) -> builtins.str" reveal_type(C.x2) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C.x3) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C.x4) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C.x5) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C.x6) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C.x7) # N: Revealed type is "def (builtins.int) -> builtins.str" reveal_type(C().x1) # E: Invalid self argument "C" to attribute function "x1" with type "Callable[[A, int], str]" \ # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C().x2) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C().x3) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C().x4) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C().x5) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C().x6) # N: Revealed type is "def (x: builtins.int) -> builtins.str" reveal_type(C().x7) # E: Invalid self argument "C" to attribute function "x7" with type "Callable[[int], str]" \ # N: Revealed type is "def () -> builtins.str" [builtins fixtures/classmethod.pyi] [case testFunctionRedefinitionDeferred] from typing import Callable, TypeVar def outer() -> None: if bool(): def inner() -> str: ... else: def inner() -> int: ... # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def inner() -> str \ # N: Redefinition: \ # N: def inner() -> int x = defer() T = TypeVar("T") def deco(fn: Callable[[], T]) -> Callable[[], list[T]]: ... @deco def defer() -> int: ... [builtins fixtures/list.pyi] [case testCheckFunctionErrorContextDuplicateDeferred] # flags: --show-error-context from typing import Callable, TypeVar def a() -> None: def b() -> None: 1 + "" x = defer() T = TypeVar("T") def deco(fn: Callable[[], T]) -> Callable[[], list[T]]: ... @deco def defer() -> int: ... [out] main: note: In function "a": main:6: error: Unsupported operand types for + ("int" and "str") [case testNoExtraNoteForUnpacking] from typing import Protocol class P(Protocol): arg: int # Something that list and dict also have def __contains__(self, item: object) -> bool: ... def foo(x: P, y: P) -> None: ... args: list[object] foo(*args) # E: Argument 1 to "foo" has incompatible type "*list[object]"; expected "P" kwargs: dict[str, object] foo(**kwargs) # E: Argument 1 to "foo" has incompatible type "**dict[str, object]"; expected "P" [builtins fixtures/dict.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-functools.test0000644000175100017510000006345515112307767021131 0ustar00runnerrunner[case testTotalOrderingEqLt] from functools import total_ordering @total_ordering class Ord: def __eq__(self, other: object) -> bool: return False def __lt__(self, other: "Ord") -> bool: return False reveal_type(Ord() < Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() <= Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() == Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() > Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() >= Ord()) # N: Revealed type is "builtins.bool" Ord() < 1 # E: Unsupported operand types for < ("Ord" and "int") Ord() <= 1 # E: Unsupported operand types for <= ("Ord" and "int") Ord() == 1 Ord() > 1 # E: Unsupported operand types for > ("Ord" and "int") Ord() >= 1 # E: Unsupported operand types for >= ("Ord" and "int") [builtins fixtures/dict.pyi] [case testTotalOrderingLambda] from functools import total_ordering from typing import Any, Callable, ClassVar @total_ordering class Ord: __eq__: Callable[[Any, object], bool] = lambda self, other: False __lt__: Callable[[Any, "Ord"], bool] = lambda self, other: False reveal_type(Ord() < Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() <= Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() == Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() > Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() >= Ord()) # N: Revealed type is "builtins.bool" Ord() < 1 # E: Argument 1 has incompatible type "int"; expected "Ord" Ord() <= 1 # E: Unsupported operand types for <= ("Ord" and "int") Ord() == 1 Ord() > 1 # E: Unsupported operand types for > ("Ord" and "int") Ord() >= 1 # E: Unsupported operand types for >= ("Ord" and "int") [builtins fixtures/dict.pyi] [case testTotalOrderingNonCallable] from functools import total_ordering @total_ordering class Ord(object): def __eq__(self, other: object) -> bool: return False __lt__ = 5 Ord() <= Ord() # E: Unsupported left operand type for <= ("Ord") Ord() > Ord() # E: "int" not callable Ord() >= Ord() # E: Unsupported left operand type for >= ("Ord") [builtins fixtures/dict.pyi] [case testTotalOrderingReturnNotBool] from functools import total_ordering @total_ordering class Ord: def __eq__(self, other: object) -> bool: return False def __lt__(self, other: "Ord") -> str: return "blah" reveal_type(Ord() < Ord()) # N: Revealed type is "builtins.str" reveal_type(Ord() <= Ord()) # N: Revealed type is "Any" reveal_type(Ord() == Ord()) # N: Revealed type is "builtins.bool" reveal_type(Ord() > Ord()) # N: Revealed type is "Any" reveal_type(Ord() >= Ord()) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [case testTotalOrderingAllowsAny] from functools import total_ordering @total_ordering class Ord: def __eq__(self, other): return False def __gt__(self, other): return False reveal_type(Ord() < Ord()) # N: Revealed type is "Any" Ord() <= Ord() # E: Unsupported left operand type for <= ("Ord") reveal_type(Ord() == Ord()) # N: Revealed type is "Any" reveal_type(Ord() > Ord()) # N: Revealed type is "Any" Ord() >= Ord() # E: Unsupported left operand type for >= ("Ord") Ord() < 1 # E: Unsupported left operand type for < ("Ord") Ord() <= 1 # E: Unsupported left operand type for <= ("Ord") Ord() == 1 Ord() > 1 Ord() >= 1 # E: Unsupported left operand type for >= ("Ord") [builtins fixtures/dict.pyi] [case testCachedProperty] from functools import cached_property class Parent: @property def f(self) -> str: pass class Child(Parent): @cached_property def f(self) -> str: pass @cached_property def g(self) -> int: pass @cached_property # E: Too many arguments for property def h(self, arg) -> int: pass reveal_type(Parent().f) # N: Revealed type is "builtins.str" reveal_type(Child().f) # N: Revealed type is "builtins.str" reveal_type(Child().g) # N: Revealed type is "builtins.int" Child().f = "Hello World" Child().g = "invalid" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file functools.pyi] import sys from typing import TypeVar, Generic _T = TypeVar('_T') class cached_property(Generic[_T]): ... [builtins fixtures/property.pyi] [case testTotalOrderingWithForwardReference] from typing import Generic, Any, TypeVar import functools T = TypeVar("T", bound="C") @functools.total_ordering class D(Generic[T]): def __lt__(self, other: Any) -> bool: ... class C: pass def f(d: D[C]) -> None: reveal_type(d.__gt__) # N: Revealed type is "def (other: Any) -> builtins.bool" d: D[int] # E: Type argument "int" of "D" must be a subtype of "C" [builtins fixtures/dict.pyi] [case testFunctoolsPartialBasic] from typing import Callable import functools def foo(a: int, b: str, c: int = 5) -> int: ... # N: "foo" defined here p1 = functools.partial(foo) p1(1, "a", 3) # OK p1(1, "a", c=3) # OK p1(1, b="a", c=3) # OK reveal_type(p1) # N: Revealed type is "functools.partial[builtins.int]" def takes_callable_int(f: Callable[..., int]) -> None: ... def takes_callable_str(f: Callable[..., str]) -> None: ... takes_callable_int(p1) takes_callable_str(p1) # E: Argument 1 to "takes_callable_str" has incompatible type "partial[int]"; expected "Callable[..., str]" \ # N: "partial[int].__call__" has type "def __call__(__self, *args: Any, **kwargs: Any) -> int" p2 = functools.partial(foo, 1) p2("a") # OK p2("a", 3) # OK p2("a", c=3) # OK p2(1, 3) # E: Argument 1 to "foo" has incompatible type "int"; expected "str" p2(1, "a", 3) # E: Too many arguments for "foo" \ # E: Argument 1 to "foo" has incompatible type "int"; expected "str" \ # E: Argument 2 to "foo" has incompatible type "str"; expected "int" p2(a=1, b="a", c=3) # E: Unexpected keyword argument "a" for "foo" p3 = functools.partial(foo, b="a") p3(1) # OK p3(1, c=3) # OK p3(a=1) # OK p3(1, b="a", c=3) # OK, keywords can be clobbered p3(1, 3) # E: Too many positional arguments for "foo" \ # E: Argument 2 to "foo" has incompatible type "int"; expected "str" functools.partial(foo, "a") # E: Argument 1 to "foo" has incompatible type "str"; expected "int" functools.partial(foo, b=1) # E: Argument "b" to "foo" has incompatible type "int"; expected "str" functools.partial(foo, a=1, b=2, c=3) # E: Argument "b" to "foo" has incompatible type "int"; expected "str" functools.partial(1) # E: "int" not callable \ # E: Argument 1 to "partial" has incompatible type "int"; expected "Callable[..., Never]" [builtins fixtures/dict.pyi] [case testFunctoolsPartialStar] import functools from typing import List def foo(a: int, b: str, *args: int, d: str, **kwargs: int) -> int: ... p1 = functools.partial(foo, 1, d="a", x=9) p1("a", 2, 3, 4) # OK p1("a", 2, 3, 4, d="a") # OK p1("a", 2, 3, 4, "a") # E: Argument 5 to "foo" has incompatible type "str"; expected "int" p1("a", 2, 3, 4, x="a") # E: Argument "x" to "foo" has incompatible type "str"; expected "int" p2 = functools.partial(foo, 1, "a") p2(2, 3, 4, d="a") # OK p2("a") # E: Missing named argument "d" for "foo" \ # E: Argument 1 to "foo" has incompatible type "str"; expected "int" p2(2, 3, 4) # E: Missing named argument "d" for "foo" functools.partial(foo, 1, "a", "b", "c", d="a") # E: Argument 3 to "foo" has incompatible type "str"; expected "int" \ # E: Argument 4 to "foo" has incompatible type "str"; expected "int" def bar(*a: bytes, **k: int): p1("a", 2, 3, 4, d="a", **k) p1("a", d="a", **k) p1("a", **k) # E: Argument 2 to "foo" has incompatible type "**dict[str, int]"; expected "str" p1(**k) # E: Argument 1 to "foo" has incompatible type "**dict[str, int]"; expected "str" p1(*a) # E: Expected iterable as variadic argument def baz(a: int, b: int) -> int: ... def test_baz(xs: List[int]): p3 = functools.partial(baz, *xs) p3() p3(1) # E: Too many arguments for "baz" [builtins fixtures/dict.pyi] [case testFunctoolsPartialGeneric] from typing import TypeVar import functools T = TypeVar("T") U = TypeVar("U") def foo(a: T, b: T) -> T: ... p1 = functools.partial(foo, 1) reveal_type(p1(2)) # N: Revealed type is "builtins.int" p1("a") # E: Argument 1 to "foo" has incompatible type "str"; expected "int" p2 = functools.partial(foo, "a") p2(1) # E: Argument 1 to "foo" has incompatible type "int"; expected "str" reveal_type(p2("a")) # N: Revealed type is "builtins.str" def bar(a: T, b: U) -> U: ... p3 = functools.partial(bar, 1) reveal_type(p3(2)) # N: Revealed type is "builtins.int" reveal_type(p3("a")) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [case testFunctoolsPartialCallable] from typing import Callable import functools def main1(f: Callable[[int, str], int]) -> None: p = functools.partial(f, 1) p("a") # OK p(1) # E: Argument 1 has incompatible type "int"; expected "str" functools.partial(f, a=1) # E: Unexpected keyword argument "a" class CallbackProto: def __call__(self, a: int, b: str) -> int: ... def main2(f: CallbackProto) -> None: p = functools.partial(f, b="a") p(1) # OK p("a") # E: Argument 1 to "__call__" of "CallbackProto" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testFunctoolsPartialOverload] from typing import overload import functools @overload def foo(a: int, b: str) -> int: ... @overload def foo(a: str, b: int) -> str: ... def foo(*a, **k): ... p1 = functools.partial(foo) reveal_type(p1(1, "a")) # N: Revealed type is "builtins.int" reveal_type(p1("a", 1)) # N: Revealed type is "builtins.int" p1(1, 2) # TODO: false negative p1("a", "b") # TODO: false negative [builtins fixtures/dict.pyi] [case testFunctoolsPartialTypeGuard] import functools from typing_extensions import TypeGuard def is_str_list(val: list[object]) -> TypeGuard[list[str]]: ... reveal_type(functools.partial(is_str_list, [1, 2, 3])) # N: Revealed type is "functools.partial[builtins.bool]" reveal_type(functools.partial(is_str_list, [1, 2, 3])()) # N: Revealed type is "builtins.bool" [builtins fixtures/dict.pyi] [case testFunctoolsPartialType] import functools from typing import Type class A: def __init__(self, a: int, b: str) -> None: ... # N: "A" defined here p = functools.partial(A, 1) reveal_type(p) # N: Revealed type is "functools.partial[__main__.A]" p("a") # OK p(1) # E: Argument 1 to "A" has incompatible type "int"; expected "str" p(z=1) # E: Unexpected keyword argument "z" for "A" def main(t: Type[A]) -> None: p = functools.partial(t, 1) reveal_type(p) # N: Revealed type is "functools.partial[__main__.A]" p("a") # OK p(1) # E: Argument 1 to "A" has incompatible type "int"; expected "str" p(z=1) # E: Unexpected keyword argument "z" for "A" [builtins fixtures/dict.pyi] [case testFunctoolsPartialTypeVarTuple] import functools import typing Ts = typing.TypeVarTuple("Ts") def foo(fn: typing.Callable[[typing.Unpack[Ts]], None], /, *arg: typing.Unpack[Ts], kwarg: str) -> None: ... p = functools.partial(foo, kwarg="asdf") def bar(a: int, b: str, c: float) -> None: ... p(bar, 1, "a", 3.0) # OK p(bar, 1, "a", 3.0, kwarg="asdf") # OK p(bar, 1, "a", "b") # E: Argument 1 to "foo" has incompatible type "Callable[[int, str, float], None]"; expected "Callable[[int, str, str], None]" [builtins fixtures/dict.pyi] [case testFunctoolsPartialUnion] import functools from typing import Any, Callable, Union cls1: Any cls2: Union[Any, Any] reveal_type(functools.partial(cls1, 2)()) # N: Revealed type is "Any" reveal_type(functools.partial(cls2, 2)()) # N: Revealed type is "Any" fn1: Union[Callable[[int], int], Callable[[int], int]] reveal_type(functools.partial(fn1, 2)()) # N: Revealed type is "builtins.int" fn2: Union[Callable[[int], int], Callable[[int], str]] reveal_type(functools.partial(fn2, 2)()) # N: Revealed type is "Union[builtins.int, builtins.str]" fn3: Union[Callable[[int], int], str] reveal_type(functools.partial(fn3, 2)()) # E: "str" not callable \ # N: Revealed type is "builtins.int" \ # E: Argument 1 to "partial" has incompatible type "Union[Callable[[int], int], str]"; expected "Callable[..., int]" [builtins fixtures/tuple.pyi] [case testFunctoolsPartialUnionOfTypeAndCallable] import functools from typing import Callable, Union, Type from typing_extensions import TypeAlias class FooBar: def __init__(self, arg1: str) -> None: pass def f1(t: Union[Type[FooBar], Callable[..., 'FooBar']]) -> None: val = functools.partial(t) FooBarFunc: TypeAlias = Callable[..., 'FooBar'] def f2(t: Union[Type[FooBar], FooBarFunc]) -> None: val = functools.partial(t) [builtins fixtures/tuple.pyi] [case testFunctoolsPartialExplicitType] from functools import partial from typing import Type, TypeVar, Callable T = TypeVar("T") def generic(string: str, integer: int, resulting_type: Type[T]) -> T: ... p: partial[str] = partial(generic, resulting_type=str) q: partial[bool] = partial(generic, resulting_type=str) # E: Argument "resulting_type" to "generic" has incompatible type "type[str]"; expected "type[bool]" pc: Callable[..., str] = partial(generic, resulting_type=str) qc: Callable[..., bool] = partial(generic, resulting_type=str) # E: Incompatible types in assignment (expression has type "partial[str]", variable has type "Callable[..., bool]") \ # N: "partial[str].__call__" has type "def __call__(__self, *args: Any, **kwargs: Any) -> str" [builtins fixtures/tuple.pyi] [case testFunctoolsPartialNestedPartial] from functools import partial from typing import Any def foo(x: int) -> int: ... p = partial(partial, foo) reveal_type(p()(1)) # N: Revealed type is "builtins.int" p()("no") # E: Argument 1 to "foo" has incompatible type "str"; expected "int" q = partial(partial, partial, foo) q()()("no") # E: Argument 1 to "foo" has incompatible type "str"; expected "int" r = partial(partial, foo, 1) reveal_type(r()()) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testFunctoolsPartialTypeObject] import functools from typing import Type, Generic, TypeVar class A: def __init__(self, val: int) -> None: ... cls1: Type[A] reveal_type(functools.partial(cls1, 2)()) # N: Revealed type is "__main__.A" functools.partial(cls1, "asdf") # E: Argument 1 to "A" has incompatible type "str"; expected "int" T = TypeVar("T") class B(Generic[T]): def __init__(self, val: T) -> None: ... cls2: Type[B[int]] reveal_type(functools.partial(cls2, 2)()) # N: Revealed type is "__main__.B[builtins.int]" functools.partial(cls2, "asdf") # E: Argument 1 to "B" has incompatible type "str"; expected "int" def foo(cls3: Type[B[T]]): reveal_type(functools.partial(cls3, "asdf")) # N: Revealed type is "functools.partial[__main__.B[T`-1]]" \ # E: Argument 1 to "B" has incompatible type "str"; expected "T" reveal_type(functools.partial(cls3, 2)()) # N: Revealed type is "__main__.B[T`-1]" \ # E: Argument 1 to "B" has incompatible type "int"; expected "T" [builtins fixtures/tuple.pyi] [case testFunctoolsPartialTypedDictUnpack] from typing import TypedDict from typing_extensions import Unpack from functools import partial class D1(TypedDict, total=False): a1: int def fn1(a1: int) -> None: ... # N: "fn1" defined here def main1(**d1: Unpack[D1]) -> None: partial(fn1, **d1)() partial(fn1, **d1)(**d1) partial(fn1, **d1)(a1=1) partial(fn1, **d1)(a1="asdf") # E: Argument "a1" to "fn1" has incompatible type "str"; expected "int" partial(fn1, **d1)(oops=1) # E: Unexpected keyword argument "oops" for "fn1" def fn2(**kwargs: Unpack[D1]) -> None: ... # N: "fn2" defined here def main2(**d1: Unpack[D1]) -> None: partial(fn2, **d1)() partial(fn2, **d1)(**d1) partial(fn2, **d1)(a1=1) partial(fn2, **d1)(a1="asdf") # E: Argument "a1" to "fn2" has incompatible type "str"; expected "int" partial(fn2, **d1)(oops=1) # E: Unexpected keyword argument "oops" for "fn2" class D2(TypedDict, total=False): a1: int a2: str class A2Good(TypedDict, total=False): a2: str class A2Bad(TypedDict, total=False): a2: int def fn3(a1: int, a2: str) -> None: ... # N: "fn3" defined here def main3(a2good: A2Good, a2bad: A2Bad, **d2: Unpack[D2]) -> None: partial(fn3, **d2)() partial(fn3, **d2)(a1=1, a2="asdf") partial(fn3, **d2)(**d2) partial(fn3, **d2)(a1="asdf") # E: Argument "a1" to "fn3" has incompatible type "str"; expected "int" partial(fn3, **d2)(a1=1, a2="asdf", oops=1) # E: Unexpected keyword argument "oops" for "fn3" partial(fn3, **d2)(**a2good) partial(fn3, **d2)(**a2bad) # E: Argument "a2" to "fn3" has incompatible type "int"; expected "str" def fn4(**kwargs: Unpack[D2]) -> None: ... # N: "fn4" defined here def main4(a2good: A2Good, a2bad: A2Bad, **d2: Unpack[D2]) -> None: partial(fn4, **d2)() partial(fn4, **d2)(a1=1, a2="asdf") partial(fn4, **d2)(**d2) partial(fn4, **d2)(a1="asdf") # E: Argument "a1" to "fn4" has incompatible type "str"; expected "int" partial(fn4, **d2)(a1=1, a2="asdf", oops=1) # E: Unexpected keyword argument "oops" for "fn4" partial(fn3, **d2)(**a2good) partial(fn3, **d2)(**a2bad) # E: Argument "a2" to "fn3" has incompatible type "int"; expected "str" def main5(**d2: Unpack[D2]) -> None: partial(fn1, **d2)() # E: Extra argument "a2" from **args for "fn1" partial(fn2, **d2)() # E: Extra argument "a2" from **args for "fn2" def main6(a2good: A2Good, a2bad: A2Bad, **d1: Unpack[D1]) -> None: partial(fn3, **d1)() # E: Missing positional argument "a1" in call to "fn3" partial(fn3, **d1)("asdf") # E: Too many positional arguments for "fn3" \ # E: Too few arguments for "fn3" \ # E: Argument 1 to "fn3" has incompatible type "str"; expected "int" partial(fn3, **d1)(a2="asdf") partial(fn3, **d1)(**a2good) partial(fn3, **d1)(**a2bad) # E: Argument "a2" to "fn3" has incompatible type "int"; expected "str" partial(fn4, **d1)() partial(fn4, **d1)("asdf") # E: Too many positional arguments for "fn4" \ # E: Argument 1 to "fn4" has incompatible type "str"; expected "int" partial(fn4, **d1)(a2="asdf") partial(fn4, **d1)(**a2good) partial(fn4, **d1)(**a2bad) # E: Argument "a2" to "fn4" has incompatible type "int"; expected "str" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testFunctoolsPartialNestedGeneric] from functools import partial from typing import Generic, TypeVar, List T = TypeVar("T") def get(n: int, args: List[T]) -> T: ... first = partial(get, 0) x: List[str] reveal_type(first(x)) # N: Revealed type is "builtins.str" reveal_type(first([1])) # N: Revealed type is "builtins.int" first_kw = partial(get, n=0) reveal_type(first_kw(args=[1])) # N: Revealed type is "builtins.int" # TODO: this is indeed invalid, but the error is incomprehensible. first_kw([1]) # E: Too many positional arguments for "get" \ # E: Too few arguments for "get" \ # E: Argument 1 to "get" has incompatible type "list[int]"; expected "int" [builtins fixtures/list.pyi] [case testFunctoolsPartialHigherOrder] from functools import partial from typing import Callable def fn(a: int, b: str, c: bytes) -> int: ... def callback1(fn: Callable[[str, bytes], int]) -> None: ... def callback2(fn: Callable[[str, int], int]) -> None: ... callback1(partial(fn, 1)) # TODO: false negative # https://github.com/python/mypy/issues/17461 callback2(partial(fn, 1)) [builtins fixtures/tuple.pyi] [case testFunctoolsPartialClassObjectMatchingPartial] from functools import partial class A: def __init__(self, var: int, b: int, c: int) -> None: ... p = partial(A, 1) reveal_type(p) # N: Revealed type is "functools.partial[__main__.A]" p(1, "no") # E: Argument 2 to "A" has incompatible type "str"; expected "int" q: partial[A] = partial(A, 1) # OK [builtins fixtures/tuple.pyi] [case testFunctoolsPartialTypeVarBound] from typing import Callable, TypeVar, Type import functools T = TypeVar("T", bound=Callable[[str, int], str]) S = TypeVar("S", bound=Type[int]) def foo(f: T) -> T: g = functools.partial(f, "foo") return f def bar(f: S) -> S: g = functools.partial(f, "foo") return f [builtins fixtures/primitives.pyi] [case testFunctoolsPartialAbstractType] from abc import ABC, abstractmethod from functools import partial class A(ABC): def __init__(self) -> None: ... @abstractmethod def method(self) -> None: ... def f1(cls: type[A]) -> None: cls() partial_cls = partial(cls) partial_cls() def f2() -> None: A() # E: Cannot instantiate abstract class "A" with abstract attribute "method" partial_cls = partial(A) # E: Cannot instantiate abstract class "A" with abstract attribute "method" partial_cls() # E: Cannot instantiate abstract class "A" with abstract attribute "method" [builtins fixtures/tuple.pyi] [case testFunctoolsPartialSelfType] from functools import partial from typing_extensions import Self class A: def __init__(self, ts: float, msg: str) -> None: ... @classmethod def from_msg(cls, msg: str) -> Self: factory = partial(cls, ts=0) return factory(msg=msg) [builtins fixtures/tuple.pyi] [case testFunctoolsPartialTypeVarValues] from functools import partial from typing import TypeVar T = TypeVar("T", int, str) def f(x: int, y: T) -> T: return y def g(x: T, y: int) -> T: return x def h(x: T, y: T) -> T: return x fp = partial(f, 1) reveal_type(fp(1)) # N: Revealed type is "builtins.int" reveal_type(fp("a")) # N: Revealed type is "builtins.str" fp(object()) # E: Value of type variable "T" of "f" cannot be "object" gp = partial(g, 1) reveal_type(gp(1)) # N: Revealed type is "builtins.int" gp("a") # E: Argument 1 to "g" has incompatible type "str"; expected "int" hp = partial(h, 1) reveal_type(hp(1)) # N: Revealed type is "builtins.int" hp("a") # E: Argument 1 to "h" has incompatible type "str"; expected "int" [builtins fixtures/tuple.pyi] [case testFunctoolsPartialOverloadedCallableProtocol] from functools import partial from typing import Callable, Protocol, overload class P(Protocol): @overload def __call__(self, x: int) -> int: ... @overload def __call__(self, x: str) -> str: ... def f(x: P): reveal_type(partial(x, 1)()) # N: Revealed type is "builtins.int" # TODO: but this is incorrect, predating the functools.partial plugin reveal_type(partial(x, "a")()) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testFunctoolsPartialTypeVarErasure] from typing import Callable, TypeVar, Union from typing_extensions import ParamSpec, TypeVarTuple, Unpack from functools import partial def use_int_callable(x: Callable[[int], int]) -> None: pass def use_func_callable( x: Callable[ [Callable[[int], None]], Callable[[int], None], ], ) -> None: pass Tc = TypeVar("Tc", int, str) Tb = TypeVar("Tb", bound=Union[int, str]) P = ParamSpec("P") Ts = TypeVarTuple("Ts") def func_b(a: Tb, b: str) -> Tb: return a def func_c(a: Tc, b: str) -> Tc: return a def func_fn(fn: Callable[P, Tc], b: str) -> Callable[P, Tc]: return fn def func_fn_unpack(fn: Callable[[Unpack[Ts]], Tc], b: str) -> Callable[[Unpack[Ts]], Tc]: return fn # We should not leak stray typevars that aren't in scope: reveal_type(partial(func_b, b="")) # N: Revealed type is "functools.partial[Any]" reveal_type(partial(func_c, b="")) # N: Revealed type is "functools.partial[Any]" reveal_type(partial(func_fn, b="")) # N: Revealed type is "functools.partial[def (*Any, **Any) -> Any]" reveal_type(partial(func_fn_unpack, b="")) # N: Revealed type is "functools.partial[def (*Any) -> Any]" use_int_callable(partial(func_b, b="")) use_func_callable(partial(func_b, b="")) use_int_callable(partial(func_c, b="")) use_func_callable(partial(func_c, b="")) use_int_callable(partial(func_fn, b="")) # E: Argument 1 to "use_int_callable" has incompatible type "partial[def (*Any, **Any) -> Any]"; expected "Callable[[int], int]" \ # N: "partial[def (*Any, **Any) -> Any].__call__" has type "def __call__(__self, *args: Any, **kwargs: Any) -> def (*Any, **Any) -> Any" use_func_callable(partial(func_fn, b="")) use_int_callable(partial(func_fn_unpack, b="")) # E: Argument 1 to "use_int_callable" has incompatible type "partial[def (*Any) -> Any]"; expected "Callable[[int], int]" \ # N: "partial[def (*Any) -> Any].__call__" has type "def __call__(__self, *args: Any, **kwargs: Any) -> def (*Any) -> Any" use_func_callable(partial(func_fn_unpack, b="")) # But we should not erase typevars that aren't bound by function # passed to `partial`: def outer_b(arg: Tb) -> None: def inner(a: Tb, b: str) -> Tb: return a reveal_type(partial(inner, b="")) # N: Revealed type is "functools.partial[Tb`-1]" use_int_callable(partial(inner, b="")) # E: Argument 1 to "use_int_callable" has incompatible type "partial[Tb]"; expected "Callable[[int], int]" \ # N: "partial[Tb].__call__" has type "def __call__(__self, *args: Any, **kwargs: Any) -> Tb" def outer_c(arg: Tc) -> None: def inner(a: Tc, b: str) -> Tc: return a reveal_type(partial(inner, b="")) # N: Revealed type is "functools.partial[builtins.int]" \ # N: Revealed type is "functools.partial[builtins.str]" use_int_callable(partial(inner, b="")) # E: Argument 1 to "use_int_callable" has incompatible type "partial[str]"; expected "Callable[[int], int]" \ # N: "partial[str].__call__" has type "def __call__(__self, *args: Any, **kwargs: Any) -> str" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-generic-alias.test0000644000175100017510000002176715112307767021620 0ustar00runnerrunner-- Test cases for generic aliases [case testGenericBuiltinFutureAnnotations] from __future__ import annotations t1: list t2: list[int] t3: list[str] t4: tuple t5: tuple[int] t6: tuple[int, str] t7: tuple[int, ...] t8: dict = {} t9: dict[int, str] t10: type t11: type[int] [builtins fixtures/dict.pyi] [case testGenericCollectionsFutureAnnotations] from __future__ import annotations import collections t01: collections.deque t02: collections.deque[int] t03: collections.defaultdict t04: collections.defaultdict[int, str] t05: collections.OrderedDict t06: collections.OrderedDict[int, str] t07: collections.Counter t08: collections.Counter[int] t09: collections.ChainMap t10: collections.ChainMap[int, str] [builtins fixtures/tuple.pyi] [case testGenericAliasBuiltinsReveal] t1: list t2: list[int] t3: list[str] t4: tuple t5: tuple[int] t6: tuple[int, str] t7: tuple[int, ...] t8: dict = {} t9: dict[int, str] t10: type t11: type[int] reveal_type(t1) # N: Revealed type is "builtins.list[Any]" reveal_type(t2) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(t3) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(t4) # N: Revealed type is "builtins.tuple[Any, ...]" # TODO: ideally these would reveal builtins.tuple reveal_type(t5) # N: Revealed type is "tuple[builtins.int]" reveal_type(t6) # N: Revealed type is "tuple[builtins.int, builtins.str]" # TODO: this is incorrect, see #9522 reveal_type(t7) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(t8) # N: Revealed type is "builtins.dict[Any, Any]" reveal_type(t9) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" reveal_type(t10) # N: Revealed type is "builtins.type" reveal_type(t11) # N: Revealed type is "type[builtins.int]" [builtins fixtures/dict.pyi] [case testGenericAliasBuiltinsSetReveal] t1: set t2: set[int] t3: set[str] reveal_type(t1) # N: Revealed type is "builtins.set[Any]" reveal_type(t2) # N: Revealed type is "builtins.set[builtins.int]" reveal_type(t3) # N: Revealed type is "builtins.set[builtins.str]" [builtins fixtures/set.pyi] [case testGenericAliasCollectionsReveal] import collections t1: collections.deque[int] t2: collections.defaultdict[int, str] t3: collections.OrderedDict[int, str] t4: collections.Counter[int] t5: collections.ChainMap[int, str] reveal_type(t1) # N: Revealed type is "collections.deque[builtins.int]" reveal_type(t2) # N: Revealed type is "collections.defaultdict[builtins.int, builtins.str]" reveal_type(t3) # N: Revealed type is "collections.OrderedDict[builtins.int, builtins.str]" reveal_type(t4) # N: Revealed type is "collections.Counter[builtins.int]" reveal_type(t5) # N: Revealed type is "collections.ChainMap[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testGenericAliasCollectionsABCReveal] import collections.abc t01: collections.abc.Awaitable[int] t02: collections.abc.Coroutine[str, int, float] t03: collections.abc.AsyncIterable[int] t04: collections.abc.AsyncIterator[int] t05: collections.abc.AsyncGenerator[int, float] t06: collections.abc.Iterable[int] t07: collections.abc.Iterator[int] t08: collections.abc.Generator[int, float, str] t09: collections.abc.Reversible[int] t10: collections.abc.Container[int] t11: collections.abc.Collection[int] t12: collections.abc.Callable[[int], float] t13: collections.abc.Set[int] t14: collections.abc.MutableSet[int] t15: collections.abc.Mapping[int, str] t16: collections.abc.MutableMapping[int, str] t17: collections.abc.Sequence[int] t18: collections.abc.MutableSequence[int] t19: collections.abc.ByteString t20: collections.abc.MappingView[int, int] t21: collections.abc.KeysView[int] t22: collections.abc.ItemsView[int, str] t23: collections.abc.ValuesView[str] # TODO: these currently reveal the classes from typing, see #7907 # reveal_type(t01) # Nx Revealed type is "collections.abc.Awaitable[builtins.int]" # reveal_type(t02) # Nx Revealed type is "collections.abc.Coroutine[builtins.str, builtins.int, builtins.float]" # reveal_type(t03) # Nx Revealed type is "collections.abc.AsyncIterable[builtins.int]" # reveal_type(t04) # Nx Revealed type is "collections.abc.AsyncIterator[builtins.int]" # reveal_type(t05) # Nx Revealed type is "collections.abc.AsyncGenerator[builtins.int, builtins.float]" # reveal_type(t06) # Nx Revealed type is "collections.abc.Iterable[builtins.int]" # reveal_type(t07) # Nx Revealed type is "collections.abc.Iterator[builtins.int]" # reveal_type(t08) # Nx Revealed type is "collections.abc.Generator[builtins.int, builtins.float, builtins.str]" # reveal_type(t09) # Nx Revealed type is "collections.abc.Reversible[builtins.int]" # reveal_type(t10) # Nx Revealed type is "collections.abc.Container[builtins.int]" # reveal_type(t11) # Nx Revealed type is "collections.abc.Collection[builtins.int]" # reveal_type(t12) # Nx Revealed type is "collections.abc.Callable[[builtins.int], builtins.float]" # reveal_type(t13) # Nx Revealed type is "collections.abc.Set[builtins.int]" # reveal_type(t14) # Nx Revealed type is "collections.abc.MutableSet[builtins.int]" # reveal_type(t15) # Nx Revealed type is "collections.abc.Mapping[builtins.int, builtins.str]" # reveal_type(t16) # Nx Revealed type is "collections.abc.MutableMapping[builtins.int, builtins.str]" # reveal_type(t17) # Nx Revealed type is "collections.abc.Sequence[builtins.int]" # reveal_type(t18) # Nx Revealed type is "collections.abc.MutableSequence[builtins.int]" # reveal_type(t19) # Nx Revealed type is "collections.abc.ByteString" # reveal_type(t20) # Nx Revealed type is "collections.abc.MappingView[builtins.int, builtins.int]" # reveal_type(t21) # Nx Revealed type is "collections.abc.KeysView[builtins.int]" # reveal_type(t22) # Nx Revealed type is "collections.abc.ItemsView[builtins.int, builtins.str]" # reveal_type(t23) # Nx Revealed type is "collections.abc.ValuesView[builtins.str]" [builtins fixtures/tuple.pyi] [case testGenericAliasIsinstanceUnreachable] # flags: --warn-unreachable --python-version 3.10 from collections.abc import Iterable class A: ... def test(dependencies: list[A] | None) -> None: if dependencies is None: dependencies = [] elif not isinstance(dependencies, Iterable): dependencies = [dependencies] # E: Statement is unreachable [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-full.pyi] [case testGenericAliasRedundantExprCompoundIfExpr] # flags: --warn-unreachable --enable-error-code=redundant-expr --python-version 3.10 from typing import Any, reveal_type from collections.abc import Iterable def test_example(x: Iterable[Any]) -> None: if isinstance(x, Iterable) and not isinstance(x, str): # E: Left operand of "and" is always true reveal_type(x) # N: Revealed type is "typing.Iterable[Any]" def test_counterexample(x: Any) -> None: if isinstance(x, Iterable) and not isinstance(x, str): reveal_type(x) # N: Revealed type is "typing.Iterable[Any]" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-full.pyi] [case testGenericBuiltinTupleTyping] from typing import Tuple t01: Tuple = () t02: Tuple[int] = (1, ) t03: Tuple[int, str] = (1, 'a') t04: Tuple[int, int] = (1, 2) t05: Tuple[int, int, int] = (1, 2, 3) t06: Tuple[int, ...] t07: Tuple[int, ...] = (1,) t08: Tuple[int, ...] = (1, 2) t09: Tuple[int, ...] = (1, 2, 3) [builtins fixtures/tuple.pyi] [case testGenericBuiltinTuple] t01: tuple = () t02: tuple[int] = (1, ) t03: tuple[int, str] = (1, 'a') t04: tuple[int, int] = (1, 2) t05: tuple[int, int, int] = (1, 2, 3) t06: tuple[int, ...] t07: tuple[int, ...] = (1,) t08: tuple[int, ...] = (1, 2) t09: tuple[int, ...] = (1, 2, 3) from typing import Tuple t10: Tuple[int, ...] = t09 [builtins fixtures/tuple.pyi] [case testTypeAliasWithBuiltinTuple] A = tuple[int, ...] a: A = () b: A = (1, 2, 3) c: A = ('x', 'y') # E: Incompatible types in assignment (expression has type "tuple[str, str]", variable has type "tuple[int, ...]") B = tuple[int, str] x: B = (1, 'x') y: B = ('x', 1) # E: Incompatible types in assignment (expression has type "tuple[str, int]", variable has type "tuple[int, str]") reveal_type(tuple[int, ...]()) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [case testTypeAliasWithBuiltinTupleInStub] import m reveal_type(m.a) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(m.b) # N: Revealed type is "tuple[builtins.int, builtins.str]" [file m.pyi] A = tuple[int, ...] a: A B = tuple[int, str] b: B [builtins fixtures/tuple.pyi] [case testTypeAliasWithBuiltinListInStub] import m reveal_type(m.a) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(m.b) # N: Revealed type is "builtins.list[builtins.list[builtins.int]]" m.C # has complex representation, ignored reveal_type(m.d) # N: Revealed type is "type[builtins.str]" [file m.pyi] A = list[int] a: A B = list[list[int]] b: B class C(list[int]): pass d: type[str] [builtins fixtures/list.pyi] [case testTypeAliasWithBuiltinListAliasInStub] import m reveal_type(m.a()[0]) # N: Revealed type is "builtins.int" [file m.pyi] List = list a = List[int] [builtins fixtures/list.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-generic-subtyping.test0000644000175100017510000010341615112307767022543 0ustar00runnerrunner-- Test cases for the type checker related to subtyping and inheritance with -- generics. -- Subtyping + inheritance -- ----------------------- [case testSubtypingAndInheritingNonGenericTypeFromGenericType] from typing import TypeVar, Generic T = TypeVar('T') ac: A[C] ad: A[D] b: B if int(): b = ad # E: Incompatible types in assignment (expression has type "A[D]", variable has type "B") ad = b # E: Incompatible types in assignment (expression has type "B", variable has type "A[D]") if int(): b = ac # E: Incompatible types in assignment (expression has type "A[C]", variable has type "B") if int(): b = b ac = b class C: pass class A(Generic[T]): pass class B(A[C]): pass class D: pass [case testSubtypingAndInheritingGenericTypeFromNonGenericType] from typing import TypeVar, Generic T = TypeVar('T') a: A bc: B[C] bd: B[D] if int(): bc = bd # E: Incompatible types in assignment (expression has type "B[D]", variable has type "B[C]") bd = bc # E: Incompatible types in assignment (expression has type "B[C]", variable has type "B[D]") if int(): bc = a # E: Incompatible types in assignment (expression has type "A", variable has type "B[C]") bd = a # E: Incompatible types in assignment (expression has type "A", variable has type "B[D]") if int(): a = bc if int(): a = bd class A: pass class B(A, Generic[T]): pass class C: pass class D: pass [case testSubtypingAndInheritingGenericTypeFromGenericType] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') ac: A[C] ad: A[D] bcc: B[C, C] bdc: B[D, C] if int(): ad = bcc # E: Incompatible types in assignment (expression has type "B[C, C]", variable has type "A[D]") if int(): ad = bdc # E: Incompatible types in assignment (expression has type "B[D, C]", variable has type "A[D]") bcc = ac # E: Incompatible types in assignment (expression has type "A[C]", variable has type "B[C, C]") bdc = ac # E: Incompatible types in assignment (expression has type "A[C]", variable has type "B[D, C]") if int(): bcc = bcc bdc = bdc ac = bcc if int(): ac = bdc class A(Generic[T]): pass class B(A[S], Generic[T, S]): pass class C: pass class D: pass [case testSubtypingAndInheritingGenericTypeFromGenericTypeAcrossHierarchy] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') X = TypeVar('X') Y = TypeVar('Y') ae: A[A[E]] af: A[A[F]] cef: C[E, F] cff: C[F, F] cfe: C[F, E] if int(): ae = cef # E: Incompatible types in assignment (expression has type "C[E, F]", variable has type "A[A[E]]") af = cfe # E: Incompatible types in assignment (expression has type "C[F, E]", variable has type "A[A[F]]") if int(): ae = cfe af = cef if int(): af = cff class A(Generic[T]): pass class B(A[S], Generic[T, S]): pass class C(B[A[X], A[Y]], Generic[X, Y]): pass class E: pass class F: pass [case testIncludingBaseClassTwice] from typing import TypeVar, Generic t = TypeVar('t') class I(Generic[t]): pass class A(I[C], I[object]): pass # E: Duplicate base class "I" class C: pass -- Accessing inherited generic members -- ----------------------------------- [case testAccessingMethodInheritedFromGenericType] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') b: B[C, D] c: C d: D b.f(c) # E: Argument 1 to "f" of "A" has incompatible type "C"; expected "D" b.f(d) class A(Generic[T]): def f(self, a: T) -> None: pass class B(A[S], Generic[T, S]): pass class C: pass class D: pass [builtins fixtures/tuple.pyi] [case testAccessingMethodInheritedFromGenericTypeInNonGenericType] from typing import TypeVar, Generic T = TypeVar('T') b: B c: C d: D b.f(c) # E: Argument 1 to "f" of "A" has incompatible type "C"; expected "D" b.f(d) class C: pass class D: pass class A(Generic[T]): def f(self, a: T) -> None: pass class B(A[D]): pass [builtins fixtures/tuple.pyi] [case testAccessingMemberVarInheritedFromGenericType] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class A(Generic[T]): def __init__(self, a: T) -> None: self.a = a b: B[C, D] c: C d: D b.a = c # E: Incompatible types in assignment (expression has type "C", variable has type "D") b.a = d class B(A[S], Generic[T, S]): pass class C: pass class D: pass [builtins fixtures/tuple.pyi] -- Overriding with generic types -- ----------------------------- [case testOverridingMethodInSimpleTypeInheritingGenericType] from typing import TypeVar, Generic T = TypeVar('T') class B(Generic[T]): def f(self, a: T) -> None: pass def g(self, a: T) -> None: pass class C: pass class D: pass class A(B[C]): def f(self, a: D) -> None: pass \ # E: Argument 1 of "f" is incompatible with supertype "B"; supertype defines the argument type as "C" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides def g(self, a: C) -> None: pass [out] [case testOverridingMethodInGenericTypeInheritingSimpleType] from typing import TypeVar, Generic T = TypeVar('T') class C: pass class B: def f(self, a: C) -> None: pass def g(self, a: C) -> None: pass class A(B, Generic[T]): def f(self, a: T) -> None: pass \ # E: Argument 1 of "f" is incompatible with supertype "B"; supertype defines the argument type as "C" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides def g(self, a: 'C') -> None: pass [out] [case testOverridingMethodInGenericTypeInheritingGenericType] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class B(Generic[T]): def f(self, a: T) -> None: pass def g(self, a: T) -> None: pass class A(B[S], Generic[T, S]): def f(self, a: T) -> None: pass \ # E: Argument 1 of "f" is incompatible with supertype "B"; supertype defines the argument type as "S" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides def g(self, a: S) -> None: pass [out] [case testOverridingMethodInMultilevelHierarchyOfGenericTypes] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') U = TypeVar('U') V = TypeVar('V') class D: pass class C(Generic[T, U, V]): def f(self, a: V) -> None: pass def g(self, a: V) -> None: pass class B(C[D, D, T], Generic[T]): pass class A(B[S], Generic[T, S]): def f(self, a: T) -> None: pass \ # E: Argument 1 of "f" is incompatible with supertype "C"; supertype defines the argument type as "S" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides def g(self, a: S) -> None: pass [out] [case testOverrideGenericMethodInNonGenericClass] from typing import TypeVar T = TypeVar('T') S = TypeVar('S') class A: def f(self, x: T, y: S) -> None: pass class B(A): def f(self, x: S, y: T) -> None: pass class C(A): # Okay, because T = object allows any type for the arguments. def f(self, x: T, y: T) -> None: pass [case testOverrideGenericMethodInNonGenericClassLists] from typing import TypeVar, List T = TypeVar('T') S = TypeVar('S') class A: def f(self, x: List[T], y: List[S]) -> None: pass class B(A): def f(self, x: List[S], y: List[T]) -> None: pass class C(A): def f(self, x: List[T], y: List[T]) -> None: pass # Fail [builtins fixtures/list.pyi] [out] main:11: error: Signature of "f" incompatible with supertype "A" main:11: note: Superclass: main:11: note: def [T, S] f(self, x: list[T], y: list[S]) -> None main:11: note: Subclass: main:11: note: def [T] f(self, x: list[T], y: list[T]) -> None [case testOverrideGenericMethodInNonGenericClassGeneralize] from typing import TypeVar T = TypeVar('T') T1 = TypeVar('T1', bound=str) S = TypeVar('S') class A: def f(self, x: int, y: S) -> None: pass class B(A): def f(self, x: T, y: S) -> None: pass class C(A): def f(self, x: T, y: str) -> None: pass class D(A): def f(self, x: T1, y: S) -> None: pass # TODO: This error could be more specific. [out] main:12: error: Argument 2 of "f" is incompatible with supertype "A"; supertype defines the argument type as "S" main:12: note: This violates the Liskov substitution principle main:12: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides main:14: error: Signature of "f" incompatible with supertype "A" main:14: note: Superclass: main:14: note: def [S] f(self, x: int, y: S) -> None main:14: note: Subclass: main:14: note: def [T1: str, S] f(self, x: T1, y: S) -> None -- Inheritance from generic types with implicit dynamic supertype -- -------------------------------------------------------------- [case testInheritanceFromGenericWithImplicitDynamicAndSubtyping] from typing import TypeVar, Generic T = TypeVar('T') a: A bc: B[C] bd: B[D] if int(): a = bc # E: Incompatible types in assignment (expression has type "B[C]", variable has type "A") bc = a bd = a class B(Generic[T]): pass class A(B): pass class C: pass class D: pass [out] [case testInheritanceFromGenericWithImplicitDynamicAndExternalAccess] from typing import TypeVar, Generic T = TypeVar('T') class B(Generic[T]): def f(self, a: 'B[T]') -> None: pass def __init__(self, x: 'B[T]') -> None: self.x = x class A(B): pass class C: pass a: A c: C bc: B[C] a.x = c # E: Incompatible types in assignment (expression has type "C", variable has type "B[Any]") a.f(c) # E: Argument 1 to "f" of "B" has incompatible type "C"; expected "B[Any]" a.x = bc a.f(bc) [out] [case testInheritanceFromGenericWithImplicitDynamic] from typing import TypeVar, Generic T = TypeVar('T') a: A c: C bc: B[C] class B(Generic[T]): def f(self, a: 'B[T]') -> None: pass def __init__(self, x: 'B[T]') -> None: self.x = x class A(B): def g(self) -> None: self.x = c # E: Incompatible types in assignment (expression has type "C", variable has type "B[Any]") self.f(c) # E: Argument 1 to "f" of "B" has incompatible type "C"; expected "B[Any]" self.x = bc self.f(bc) class C: pass [out] [case testInheritanceFromGenericWithImplicitDynamicAndOverriding] from typing import TypeVar, Generic, Tuple T = TypeVar('T') class B(Generic[T]): def f(self, a: T, b: 'Tuple[T, B[T]]') -> None: pass class A(B): def f(self, a, b): pass [builtins fixtures/tuple.pyi] [out] -- Inheritance from generic types and super expressions -- ---------------------------------------------------- [case testSuperExpressionsWhenInheritingFromGenericType] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class B(Generic[T]): def f(self, a: T) -> None: pass class A(B[S], Generic[T, S]): def g(self, t: T, s: S) -> None: super().f(t) # E: Argument 1 to "f" of "B" has incompatible type "T"; expected "S" super().f(s) [out] [case testSuperExpressionsWhenInheritingFromGenericTypeAndDeepHierarchy] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') U = TypeVar('U') V = TypeVar('V') class C(Generic[T, U, V]): def f(self, a: V) -> None: pass class D: pass class B(C[D, D, T], Generic[T]): pass class A(B[S], Generic[T, S]): def g(self, t: T, s: S) -> None: super().f(t) # E: Argument 1 to "f" of "C" has incompatible type "T"; expected "S" super().f(s) [out] -- Type of inherited constructor -- ----------------------------- [case testInheritedConstructor] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def __init__(self, x: T) -> None: pass class B(A[T], Generic[T]): pass class C(A[int]): pass class D(A[A[T]], Generic[T]): pass B(1) C(1) C('a') # E: Argument 1 to "C" has incompatible type "str"; expected "int" D(A(1)) D(1) # E: Argument 1 to "D" has incompatible type "int"; expected "A[Never]" [case testInheritedConstructor2] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') Z = TypeVar('Z') class A(Generic[T, U]): def __init__(self, x: T, y: U, z: Z) -> None: pass class B(A[int, T], Generic[T]): pass class C(B[A[T, str]], Generic[T, U]): pass # C[T, U] <: B[A[T, str]] <: A[int, A[T, str]] C(1, A(1, 'a', 0), 'z') C(1, A('1', 'a', 0), 'z') C('1', A(1, 'a', 0), 'z') # E: Argument 1 to "C" has incompatible type "str"; expected "int" C(1, A(1, 1, 0), 'z') # E: Argument 2 to "A" has incompatible type "int"; expected "str" -- Subtyping with a generic abstract base class -- -------------------------------------------- [case testSubtypingWithGenericTypeSubclassingGenericAbstractClass] from typing import TypeVar, Generic from abc import abstractmethod T = TypeVar('T') S = TypeVar('S') acd: A[C, D] adc: A[D, C] ic: I[C] id: I[D] if int(): ic = acd # E: Incompatible types in assignment (expression has type "A[C, D]", variable has type "I[C]") id = adc # E: Incompatible types in assignment (expression has type "A[D, C]", variable has type "I[D]") adc = ic # E: Incompatible types in assignment (expression has type "I[C]", variable has type "A[D, C]") if int(): ic = adc id = acd class I(Generic[T]): @abstractmethod def f(self): pass class A(I[S], Generic[T, S]): pass class C: pass class D: pass [case testSubtypingWithTypeImplementingGenericABCViaInheritance] from typing import TypeVar, Generic S = TypeVar('S') a: A b: B ic: I[C] id: I[D] ie: I[E] class I(Generic[S]): pass class B(I[C]): pass class A(B): pass if int(): ie = a # E: Incompatible types in assignment (expression has type "A", variable has type "I[E]") a = ic # E: Incompatible types in assignment (expression has type "I[C]", variable has type "A") if int(): a = id # E: Incompatible types in assignment (expression has type "I[D]", variable has type "A") if int(): a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") id = a # E: Incompatible types in assignment (expression has type "A", variable has type "I[D]") ic = a b = a class C: pass class D: pass class E: pass [builtins fixtures/tuple.pyi] [out] [case testSubtypingWithTypeImplementingGenericABCViaInheritance2-skip] from typing import TypeVar, Generic T = TypeVar('T') class I(Generic[T]): pass class A(I[C]): pass class B(A, I[D]): pass # Fail class C: pass class D: pass [out] main:5: error: Class "B" has base "I" duplicated inconsistently [case testSubtypingAndABCExtension] from typing import TypeVar, Generic from abc import abstractmethod, ABCMeta t = TypeVar('t') a: A[object] i: I[object] j: J[object] (ii, jj) = (i, j) if int(): ii = a jj = a if int(): jj = i a = i # E: Incompatible types in assignment (expression has type "I[object]", variable has type "A[object]") if int(): a = j # E: Incompatible types in assignment (expression has type "J[object]", variable has type "A[object]") class J(Generic[t]): pass class X(metaclass=ABCMeta): pass class I(X, J[t], Generic[t]): pass class A(I[t], Generic[t]): pass [builtins fixtures/tuple.pyi] -- Subclassing a generic ABC -- ------------------------- [case testSubclassingGenericABC1] from typing import TypeVar, Generic from abc import abstractmethod T = TypeVar('T') class I(Generic[T]): @abstractmethod def f(self, a: T) -> None: pass @abstractmethod def g(self, a: T) -> None: pass class A(I[C]): def f(self, a: 'D') -> None: pass \ # E: Argument 1 of "f" is incompatible with supertype "I"; supertype defines the argument type as "C" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides def g(self, a: 'C') -> None: pass class C: pass class D: pass [out] -- Extending a generic ABC with deep type hierarchy -- ------------------------------------------------ [case testSubclassingGenericABCWithDeepHierarchy] from typing import Any, TypeVar, Generic from abc import abstractmethod T = TypeVar('T') a: A ic: I[C] id: I[D] if int(): id = a # E: Incompatible types in assignment (expression has type "A", variable has type "I[D]") ic = a class I(Generic[T]): @abstractmethod def f(self, a: T, b: T) -> None: pass @abstractmethod def g(self, a: T, b: 'D') -> None: pass class B(I[C]): def f(self, a: 'C', b: 'C') -> None: pass def g(self, a: 'C', b: Any) -> None: pass class A(B): def g(self, a: 'C', b: 'C') -> None: pass \ # E: Argument 2 of "g" is incompatible with supertype "I"; supertype defines the argument type as "D" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides def f(self, a: 'C', b: 'C') -> None: pass class C: pass class D: pass [builtins fixtures/tuple.pyi] [case testSubclassingGenericABCWithDeepHierarchy2] from typing import Any, TypeVar, Generic from abc import abstractmethod T = TypeVar('T') class I(Generic[T]): @abstractmethod def f(self, a: T, b: T) -> None: pass class B(I[C]): def f(self, a: 'C', b: Any) -> None: pass class A(B): def f(self, a: 'C', b: 'D') -> None: pass \ # E: Argument 2 of "f" is incompatible with supertype "I"; supertype defines the argument type as "C" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides class C: pass class D: pass [out] -- Implicit Any types and subclassing generic ABC -- ---------------------------------------------- [case testSubclassingGenericABCWithImplicitAny] from typing import Any, TypeVar, Generic from abc import abstractmethod T = TypeVar('T') a: Any ic: I[C] id: I[D] ic = a id = a class I(Generic[T]): @abstractmethod def f(self, a: T) -> None: pass class A(I): def f(self, a): pass class C: pass class D: pass [case testSubclassingGenericABCWithImplicitAnyAndDeepHierarchy] from typing import Any, TypeVar, Generic from abc import abstractmethod T = TypeVar('T') a: Any ic: I[C] id: I[D] ic = a id = a class I(Generic[T]): @abstractmethod def f(self, a: T, b: T) -> None: pass class B(I): def f(self, a, b): pass class A(B): def f(self, a: 'C', b: 'D') -> None: pass class C: pass class D: pass [case testImplementingGenericABCWithImplicitAnyAndDeepHierarchy2] from typing import Any, TypeVar, Generic from abc import abstractmethod T = TypeVar('T') a: Any jc: J[C] jd: J[D] jc = a jd = a class J(Generic[T]): @abstractmethod def f(self, a: T, b: T) -> None: pass class I(J): @abstractmethod def f(self, a, b): pass class A(I): def f(self, a: 'C', b: 'D') -> None: pass class C: pass class D: pass -- Accessing generic ABC members -- ----------------------------- [case testAccessingGenericABCMembers] from typing import TypeVar, Generic from abc import abstractmethod T = TypeVar('T') class I(Generic[T]): @abstractmethod def f(self, a: T) -> None: pass class A: pass class B: pass a: A b: B ia: I[A] ia.f(b) # E: Argument 1 to "f" of "I" has incompatible type "B"; expected "A" ia.f(a) [builtins fixtures/tuple.pyi] [case testAccessingInheritedGenericABCMembers] from typing import TypeVar, Generic from abc import abstractmethod T = TypeVar('T') class J(Generic[T]): @abstractmethod def f(self, a: T) -> None: pass class I(J[T], Generic[T]): pass class A: pass class B: pass a: A b: B ia: I[A] ia.f(b) # E: Argument 1 to "f" of "J" has incompatible type "B"; expected "A" ia.f(a) [builtins fixtures/tuple.pyi] -- Misc -- ---- [case testMultipleAssignmentAndGenericSubtyping] from typing import Iterable n: int s: str class Nums(Iterable[int]): def __iter__(self): pass def __next__(self): pass n, n = Nums() s, s = Nums() # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/for.pyi] [out] [case testUninhabitedCacheChecksAmbiguous] # https://github.com/python/mypy/issues/19641 from typing import Mapping, Never, TypeVar M = TypeVar("M", bound=Mapping[str,object]) def get(arg: M, /) -> M: return arg get({}) def upcast(d: dict[Never, Never]) -> Mapping[str, object]: return d # E: Incompatible return value type (got "dict[Never, Never]", expected "Mapping[str, object]") [builtins fixtures/dict.pyi] -- Variance -- -------- [case testCovariant] from typing import TypeVar, Generic T = TypeVar('T', covariant=True) class G(Generic[T]): pass class A: pass class B(A): pass class C(B): pass a: G[A] b: G[B] c: G[C] if int(): b = a # E: Incompatible types in assignment (expression has type "G[A]", variable has type "G[B]") b = c [builtins fixtures/bool.pyi] [out] [case testContravariant] from typing import TypeVar, Generic T = TypeVar('T', contravariant=True) class G(Generic[T]): pass class A: pass class B(A): pass class C(B): pass a: G[A] b: G[B] c: G[C] if int(): b = a b = c # E: Incompatible types in assignment (expression has type "G[C]", variable has type "G[B]") [builtins fixtures/bool.pyi] [out] [case testInvariant] from typing import TypeVar, Generic T = TypeVar('T') # invariant (default) class G(Generic[T]): pass class A: pass class B(A): pass class C(B): pass a: G[A] b: G[B] c: G[C] if int(): b = a # E: Incompatible types in assignment (expression has type "G[A]", variable has type "G[B]") b = c # E: Incompatible types in assignment (expression has type "G[C]", variable has type "G[B]") [builtins fixtures/bool.pyi] [out] [case testTypeVarSubtypeUnion] from typing import Union, TypeVar, Generic class U: pass class W: pass T = TypeVar('T', bound=Union[U, W]) class Y(Generic[T]): def __init__(self) -> None: pass def f(self) -> T: return U() # E: Incompatible return value type (got "U", expected "T") [case testTypeVarBoundToOldUnionAttributeAccess] from typing import Union, TypeVar class U: a: float class V: b: float class W: c: float T = TypeVar("T", bound=Union[U, V, W]) def f(x: T) -> None: x.a # E x.b = 1.0 # E del x.c # E [out] main:13: error: Item "V" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "a" main:13: error: Item "W" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "a" main:14: error: Item "U" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "b" main:14: error: Item "W" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "b" main:15: error: Item "U" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "c" main:15: error: Item "V" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "c" [case testTypeVarBoundToNewUnionAttributeAccess] # flags: --python-version 3.10 from typing import TypeVar class U: a: int class V: b: int class W: c: int T = TypeVar("T", bound=U | V | W) def f(x: T) -> None: x.a # E x.b = 1 # E del x.c # E [builtins fixtures/tuple.pyi] [out] main:14: error: Item "V" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "a" main:14: error: Item "W" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "a" main:15: error: Item "U" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "b" main:15: error: Item "W" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "b" main:16: error: Item "U" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "c" main:16: error: Item "V" of the upper bound "Union[U, V, W]" of type variable "T" has no attribute "c" [case testSubtypingIterableUnpacking1] # https://github.com/python/mypy/issues/11138 from typing import Generic, Iterator, TypeVar T = TypeVar("T") U = TypeVar("U") class X1(Iterator[U], Generic[T, U]): pass x1: X1[str, int] reveal_type(list(x1)) # N: Revealed type is "builtins.list[builtins.int]" reveal_type([*x1]) # N: Revealed type is "builtins.list[builtins.int]" class X2(Iterator[T], Generic[T, U]): pass x2: X2[str, int] reveal_type(list(x2)) # N: Revealed type is "builtins.list[builtins.str]" reveal_type([*x2]) # N: Revealed type is "builtins.list[builtins.str]" class X3(Generic[T, U], Iterator[U]): pass x3: X3[str, int] reveal_type(list(x3)) # N: Revealed type is "builtins.list[builtins.int]" reveal_type([*x3]) # N: Revealed type is "builtins.list[builtins.int]" class X4(Generic[T, U], Iterator[T]): pass x4: X4[str, int] reveal_type(list(x4)) # N: Revealed type is "builtins.list[builtins.str]" reveal_type([*x4]) # N: Revealed type is "builtins.list[builtins.str]" class X5(Iterator[T]): pass x5: X5[str] reveal_type(list(x5)) # N: Revealed type is "builtins.list[builtins.str]" reveal_type([*x5]) # N: Revealed type is "builtins.list[builtins.str]" class X6(Generic[T, U], Iterator[bool]): pass x6: X6[str, int] reveal_type(list(x6)) # N: Revealed type is "builtins.list[builtins.bool]" reveal_type([*x6]) # N: Revealed type is "builtins.list[builtins.bool]" [builtins fixtures/list.pyi] [case testSubtypingIterableUnpacking2] from typing import Generic, Iterator, TypeVar, Mapping T = TypeVar("T") U = TypeVar("U") class X1(Generic[T, U], Iterator[U], Mapping[U, T]): pass x1: X1[str, int] reveal_type(list(x1)) # N: Revealed type is "builtins.list[builtins.int]" reveal_type([*x1]) # N: Revealed type is "builtins.list[builtins.int]" class X2(Generic[T, U], Iterator[U], Mapping[T, U]): pass x2: X2[str, int] reveal_type(list(x2)) # N: Revealed type is "builtins.list[builtins.int]" reveal_type([*x2]) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testSubtypingMappingUnpacking1] # https://github.com/python/mypy/issues/11138 from typing import Generic, TypeVar, Mapping T = TypeVar("T") U = TypeVar("U") class X1(Generic[T, U], Mapping[U, T]): pass x1: X1[str, int] reveal_type(iter(x1)) # N: Revealed type is "typing.Iterator[builtins.int]" reveal_type({**x1}) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" class X2(Generic[T, U], Mapping[T, U]): pass x2: X2[str, int] reveal_type(iter(x2)) # N: Revealed type is "typing.Iterator[builtins.str]" reveal_type({**x2}) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" class X3(Generic[T, U], Mapping[bool, float]): pass x3: X3[str, int] reveal_type(iter(x3)) # N: Revealed type is "typing.Iterator[builtins.bool]" reveal_type({**x3}) # N: Revealed type is "builtins.dict[builtins.bool, builtins.float]" [builtins fixtures/dict.pyi] [case testSubtypingMappingUnpacking2] from typing import Generic, TypeVar, Mapping T = TypeVar("T") U = TypeVar("U") class X1(Generic[T, U], Mapping[U, T]): pass def func_with_kwargs(**kwargs: int): pass x1: X1[str, int] reveal_type(iter(x1)) reveal_type({**x1}) func_with_kwargs(**x1) [out] main:12: note: Revealed type is "typing.Iterator[builtins.int]" main:13: note: Revealed type is "builtins.dict[builtins.int, builtins.str]" main:14: error: Keywords must be strings main:14: error: Argument 1 to "func_with_kwargs" has incompatible type "**X1[str, int]"; expected "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-medium.pyi] [case testSubtypingMappingUnpacking3] from typing import Generic, TypeVar, Mapping, Iterable T = TypeVar("T") U = TypeVar("U") class X1(Generic[T, U], Mapping[U, T], Iterable[U]): pass x1: X1[str, int] reveal_type(iter(x1)) # N: Revealed type is "typing.Iterator[builtins.int]" reveal_type({**x1}) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" # Some people would expect this to raise an error, but this currently does not: # `Mapping` has `Iterable[U]` base class, `X2` has direct `Iterable[T]` base class. # It would be impossible to define correct `__iter__` method for incompatible `T` and `U`. class X2(Generic[T, U], Mapping[U, T], Iterable[T]): pass x2: X2[str, int] reveal_type(iter(x2)) # N: Revealed type is "typing.Iterator[builtins.int]" reveal_type({**x2}) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" [builtins fixtures/dict.pyi] [case testNotDirectIterableAndMappingSubtyping] from typing import Generic, TypeVar, Dict, Iterable, Iterator, List T = TypeVar("T") U = TypeVar("U") class X1(Generic[T, U], Dict[U, T], Iterable[U]): def __iter__(self) -> Iterator[U]: pass x1: X1[str, int] reveal_type(iter(x1)) # N: Revealed type is "typing.Iterator[builtins.int]" reveal_type({**x1}) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" class X2(Generic[T, U], List[U]): def __iter__(self) -> Iterator[U]: pass x2: X2[str, int] reveal_type(iter(x2)) # N: Revealed type is "typing.Iterator[builtins.int]" reveal_type([*x2]) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/dict.pyi] [case testIncompatibleVariance] from typing import TypeVar, Generic T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) T_contra = TypeVar('T_contra', contravariant=True) class A(Generic[T_co]): ... class B(A[T_contra], Generic[T_contra]): ... # E: Variance of TypeVar "T_contra" incompatible with variance in parent type class C(Generic[T_contra]): ... class D(C[T_co], Generic[T_co]): ... # E: Variance of TypeVar "T_co" incompatible with variance in parent type class E(Generic[T]): ... class F(E[T_co], Generic[T_co]): ... # E: Variance of TypeVar "T_co" incompatible with variance in parent type class G(Generic[T]): ... class H(G[T_contra], Generic[T_contra]): ... # E: Variance of TypeVar "T_contra" incompatible with variance in parent type [case testParameterizedGenericOverrideWithProperty] from typing import TypeVar, Generic T = TypeVar("T") class A(Generic[T]): def __init__(self, val: T): self.member: T = val class B(A[str]): member: str class GoodPropertyOverride(A[str]): @property def member(self) -> str: ... @member.setter def member(self, val: str): ... class BadPropertyOverride(A[str]): @property # E: Signature of "member" incompatible with supertype "A" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: int def member(self) -> int: ... @member.setter def member(self, val: int): ... class BadGenericPropertyOverride(A[str], Generic[T]): @property # E: Signature of "member" incompatible with supertype "A" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: T def member(self) -> T: ... @member.setter def member(self, val: T): ... [builtins fixtures/property.pyi] [case testParameterizedGenericPropertyOverrideWithProperty] from typing import TypeVar, Generic T = TypeVar("T") class A(Generic[T]): @property def member(self) -> T: ... @member.setter def member(self, val: T): ... class B(A[str]): member: str class GoodPropertyOverride(A[str]): @property def member(self) -> str: ... @member.setter def member(self, val: str): ... class BadPropertyOverride(A[str]): @property # E: Signature of "member" incompatible with supertype "A" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: int def member(self) -> int: ... @member.setter def member(self, val: int): ... class BadGenericPropertyOverride(A[str], Generic[T]): @property # E: Signature of "member" incompatible with supertype "A" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: T def member(self) -> T: ... @member.setter def member(self, val: T): ... [builtins fixtures/property.pyi] [case testParameterizedGenericOverrideSelfWithProperty] from typing_extensions import Self class A: def __init__(self, val: Self): self.member: Self = val class GoodPropertyOverride(A): @property def member(self) -> "GoodPropertyOverride": ... @member.setter def member(self, val: "GoodPropertyOverride"): ... class GoodPropertyOverrideSelf(A): @property def member(self) -> Self: ... @member.setter def member(self, val: Self): ... [builtins fixtures/property.pyi] [case testParameterizedGenericOverrideWithSelfProperty] from typing import TypeVar, Generic from typing_extensions import Self T = TypeVar("T") class A(Generic[T]): def __init__(self, val: T): self.member: T = val class B(A["B"]): member: Self class GoodPropertyOverride(A["GoodPropertyOverride"]): @property def member(self) -> Self: ... @member.setter def member(self, val: Self): ... [builtins fixtures/property.pyi] [case testMultipleInheritanceCompatibleTypeVar] from typing import Generic, TypeVar T = TypeVar("T") U = TypeVar("U") class A(Generic[T]): x: T def fn(self, t: T) -> None: ... class A2(A[T]): y: str z: str class B(Generic[T]): x: T def fn(self, t: T) -> None: ... class C1(A2[str], B[str]): pass class C2(A2[str], B[int]): pass # E: Definition of "fn" in base class "A" is incompatible with definition in base class "B" \ # E: Definition of "x" in base class "A" is incompatible with definition in base class "B" class C3(A2[T], B[T]): pass class C4(A2[U], B[U]): pass class C5(A2[U], B[T]): pass # E: Definition of "fn" in base class "A" is incompatible with definition in base class "B" \ # E: Definition of "x" in base class "A" is incompatible with definition in base class "B" class D1(A[str], B[str]): pass class D2(A[str], B[int]): pass # E: Definition of "fn" in base class "A" is incompatible with definition in base class "B" \ # E: Definition of "x" in base class "A" is incompatible with definition in base class "B" class D3(A[T], B[T]): pass class D4(A[U], B[U]): pass class D5(A[U], B[T]): pass # E: Definition of "fn" in base class "A" is incompatible with definition in base class "B" \ # E: Definition of "x" in base class "A" is incompatible with definition in base class "B" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-generics.test0000644000175100017510000031366115112307767020711 0ustar00runnerrunner-- Simple generic types -- -------------------- [case testGenericMethodReturnType] from typing import TypeVar, Generic T = TypeVar('T') a: A[B] b: B c: C if int(): c = a.f() # E: Incompatible types in assignment (expression has type "B", variable has type "C") b = a.f() class A(Generic[T]): def f(self) -> T: pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testGenericMethodArgument] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def f(self, a: T) -> None: pass a: A[B] b: B c: C a.f(c) # E: Argument 1 to "f" of "A" has incompatible type "C"; expected "B" a.f(b) class B: pass class C: pass [case testGenericMemberVariable] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def __init__(self, v: T) -> None: self.v = v a: A[B] b: B c: C a.v = c # Fail a.v = b class B: pass class C: pass [builtins fixtures/tuple.pyi] [out] main:10: error: Incompatible types in assignment (expression has type "C", variable has type "B") [case testGenericMemberVariable2] from typing import TypeVar, Generic T = TypeVar('T') a: A[B] b: B c: C a.v = c # Fail a.v = b class A(Generic[T]): v: T class B: pass class C: pass [builtins fixtures/tuple.pyi] [out] main:6: error: Incompatible types in assignment (expression has type "C", variable has type "B") [case testSimpleGenericSubtyping] from typing import TypeVar, Generic T = TypeVar('T') b: A[B] bb: A[B] c: A[C] if int(): c = b # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[C]") b = c # E: Incompatible types in assignment (expression has type "A[C]", variable has type "A[B]") if int(): b = b if int(): b = bb class A(Generic[T]): pass class B: pass class C(B): pass [builtins fixtures/tuple.pyi] [case testGenericTypeCompatibilityWithAny] from typing import Any, TypeVar, Generic T = TypeVar('T') b: A[B] c: A[C] d: A[Any] b = d c = d d = b d = c class A(Generic[T]): pass class B: pass class C(B): pass [builtins fixtures/tuple.pyi] [out] [case testTypeVariableAsTypeArgument] from typing import TypeVar, Generic T = TypeVar('T') a: A[B] b: A[B] c: A[C] a.v = c # E: Incompatible types in assignment (expression has type "A[C]", variable has type "A[B]") if int(): c = a.v # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[C]") a.v = b if int(): b = a.v class A(Generic[T]): v = None # type: A[T] class B: pass class C: pass [case testMultipleGenericTypeParametersWithMemberVars] from typing import TypeVar, Generic S = TypeVar('S') T = TypeVar('T') a: A[B, C] s: B t: C if int(): t = a.s # E: Incompatible types in assignment (expression has type "B", variable has type "C") s = a.t # E: Incompatible types in assignment (expression has type "C", variable has type "B") if int(): s = a.s t = a.t class A(Generic[S, T]): s: S t: T class B: pass class C: pass [case testMultipleGenericTypeParametersWithMethods] from typing import TypeVar, Generic S = TypeVar('S') T = TypeVar('T') a: A[B, C] s: B t: C a.f(s, s) # Fail a.f(t, t) # Fail a.f(s, t) class A(Generic[S, T]): def f(self, s: S, t: T) -> None: pass class B: pass class C: pass [out] main:8: error: Argument 2 to "f" of "A" has incompatible type "B"; expected "C" main:9: error: Argument 1 to "f" of "A" has incompatible type "C"; expected "B" [case testMultipleGenericTypeParametersAndSubtyping] from typing import TypeVar, Generic S = TypeVar('S') T = TypeVar('T') bc: A[B, C] bb: A[B, B] cb: A[C, B] if int(): bb = bc # E: Incompatible types in assignment (expression has type "A[B, C]", variable has type "A[B, B]") if int(): bb = cb # E: Incompatible types in assignment (expression has type "A[C, B]", variable has type "A[B, B]") bc = bb # E: Incompatible types in assignment (expression has type "A[B, B]", variable has type "A[B, C]") if int(): bb = bb bc = bc class A(Generic[S, T]): s: S t: T class B: pass class C(B):pass -- Simple generic type bodies -- -------------------------- [case testGenericTypeBody1] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): a: T def f(self, b: T) -> T: self.f(x) # Fail d = self # type: A[B] # Fail self.a = self.f(self.a) return self.a c = self # type: A[T] x: B class B: pass [out] main:7: error: Argument 1 to "f" of "A" has incompatible type "B"; expected "T" main:8: error: Incompatible types in assignment (expression has type "A[T]", variable has type "A[B]") [case testGenericTypeBodyWithMultipleVariables] from typing import TypeVar, Generic S = TypeVar('S') T = TypeVar('T') class A(Generic[S, T]): def f(self) -> None: s: S t: T if int(): s = t # E: Incompatible types in assignment (expression has type "T", variable has type "S") t = s # E: Incompatible types in assignment (expression has type "S", variable has type "T") a = self # type: A[S, B] # E: Incompatible types in assignment (expression has type "A[S, T]", variable has type "A[S, B]") b = self # type: A[T, T] # E: Incompatible types in assignment (expression has type "A[S, T]", variable has type "A[T, T]") c = self # type: A[S, T] if int(): t = t class B: pass [out] [case testCompatibilityOfNoneWithTypeVar] # flags: --no-strict-optional from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def f(self) -> None: a = None # type: T a = None [out] [case testCompatibilityOfTypeVarWithObject] # flags: --no-strict-optional from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def f(self) -> T: a = object() # type: T # E: Incompatible types in assignment (expression has type "object", variable has type "T") if int(): a = object() # E: Incompatible types in assignment (expression has type "object", variable has type "T") b = self.f() # type: object if int(): b = self.f() return None [out] -- Operations with generic types -- ----------------------------- [case testGenericOperations] from typing import TypeVar, Generic S = TypeVar('S') T = TypeVar('T') a: A[B, C] b: B c: C if int(): b = a + b # E: Incompatible types in assignment (expression has type "C", variable has type "B") c = a + c # E: Unsupported operand types for + ("A[B, C]" and "C") if int(): c = a[c] # E: Incompatible types in assignment (expression has type "B", variable has type "C") b = a[b] # E: Invalid index type "B" for "A[B, C]"; expected type "C" if int(): c = a + b b = a[c] class A(Generic[S, T]): def __add__(self, a: S) -> T: pass def __getitem__(self, i: T) -> S: pass class B: pass class C: pass [case testOperatorAssignmentWithIndexLvalue1] from typing import TypeVar, Generic T = TypeVar('T') b: B c: C ac: A[C] ac[b] += b # Fail ac[c] += c # Fail ac[b] += c ac[b] = ac[b] + c class A(Generic[T]): def __getitem__(self, i: 'B') -> T: pass def __setitem__(self, i: 'B', v: T) -> None: pass class B: pass class C: def __add__(self, o: 'C') -> 'C': pass [out] main:7: error: Unsupported operand types for + ("C" and "B") main:8: error: Invalid index type "C" for "A[C]"; expected type "B" [case testOperatorAssignmentWithIndexLvalue2] from typing import TypeVar, Generic T = TypeVar('T') b: B c: C ac: A[C] ac[b] += c # Fail ac[c] += c # Fail ac[b] = ac[b] + c # Fail class A(Generic[T]): def __getitem__(self, i: 'B') -> T: pass def __setitem__(self, i: 'C', v: T) -> None: pass class B: pass class C: def __add__(self, o: 'C') -> 'C': pass [out] main:7: error: Invalid index type "B" for "A[C]"; expected type "C" main:8: error: Invalid index type "C" for "A[C]"; expected type "B" main:9: error: Invalid index type "B" for "A[C]"; expected type "C" -- Nested generic types -- -------------------- [case testNestedGenericTypes] from typing import TypeVar, Generic T = TypeVar('T') aab: A[A[B]] aac: A[A[C]] ab: A[B] ac: A[C] if int(): ac = aab.x # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[C]") ac.y = aab # E: Incompatible types in assignment (expression has type "A[A[B]]", variable has type "A[A[C]]") if int(): ab = aab.x ac = aac.x ab.y = aab ac.y = aac class A(Generic[T]): x: T y: A[A[T]] class B: pass class C: pass -- Generic functions -- ----------------- [case testTypeCheckingGenericFunctionBody] from typing import TypeVar, Generic S = TypeVar('S') T = TypeVar('T') class A: pass class p(Generic[T, S]): def __init__(self, t: T, a: S) -> None: pass def f(s: S, t: T) -> p[T, A]: a = t # type: S # E: Incompatible types in assignment (expression has type "T", variable has type "S") if int(): s = t # E: Incompatible types in assignment (expression has type "T", variable has type "S") p_s_a: p[S, A] if s: return p_s_a # E: Incompatible return value type (got "p[S, A]", expected "p[T, A]") b = t # type: T c = s # type: S p_t_a: p[T, A] return p_t_a [out] [case testTypeCheckingGenericMethodBody] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class p(Generic[T, S]): def __init__(self, t: T, a: S) -> None: pass class A(Generic[T]): def f(self, s: S, t: T) -> p[S, T]: if int(): s = t # E: Incompatible types in assignment (expression has type "T", variable has type "S") p_s_s: p[S, S] if s: return p_s_s # E: Incompatible return value type (got "p[S, S]", expected "p[S, T]") p_t_t: p[T, T] if t: return p_t_t # E: Incompatible return value type (got "p[T, T]", expected "p[S, T]") if 1: t = t s = s p_s_t: p[S, T] return p_s_t [out] [case testProhibitTypeApplicationToGenericFunctions] from typing import TypeVar T = TypeVar('T') def f(x: T) -> T: pass y = f[int] # E: Type application is only supported for generic classes [out] -- Generic types in expressions -- ---------------------------- [case testTypeApplicationArgs] from typing import TypeVar, Generic T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: ... Node[int]() # E: Missing positional argument "x" in call to "Node" Node[int](1, 1, 1) # E: Too many arguments for "Node" [out] [case testTypeApplicationTvars] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): pass A[int]() # E: Type application has too few types (2 expected) A[int, str, int]() # E: Type application has too many types (2 expected) [out] [case testInvalidTypeApplicationType] import types a: A class A: pass a[A]() # E: Value of type "A" is not indexable A[A]() # E: The type "type[A]" is not generic and not indexable [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testTypeApplicationArgTypes] from typing import TypeVar, Generic T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: ... Node[int](1) Node[int]('a') # E: Argument 1 to "Node" has incompatible type "str"; expected "int" class Dummy(Generic[T]): def meth(self, x: T) -> None: ... def methout(self) -> T: ... Dummy[int]().meth(1) Dummy[int]().meth('a') # E: Argument 1 to "meth" of "Dummy" has incompatible type "str"; expected "int" reveal_type(Dummy[int]()) # N: Revealed type is "__main__.Dummy[builtins.int]" reveal_type(Dummy[int]().methout()) # N: Revealed type is "builtins.int" [out] [case testTypeApplicationArgTypesSubclasses] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class C(Generic[T, S]): def __init__(self, x: T, y: S) -> None: ... class D(C[int, T]): ... D[str](1, 'a') D[str](1, 1) # E: Argument 2 to "D" has incompatible type "int"; expected "str" class E(D[str]): ... E(1, 'a') E(1, 1) # E: Argument 2 to "E" has incompatible type "int"; expected "str" [out] [case testTypeApplicationAlias] from typing import TypeVar, Generic T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: ... Alias = Node Alias[int](1) Alias[int]("a") # E: Argument 1 to "Node" has incompatible type "str"; expected "int" [out] [case testTypeApplicationCrash] import types type[int] [builtins fixtures/tuple.pyi] -- Generic type aliases -- -------------------- [case testGenericTypeAliasesBasic] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: ... IntNode = Node[int, S] IntIntNode = Node[int, int] SameNode = Node[T, T] n = Node(1, 1) # type: IntIntNode n1 = Node(1, 'a') # type: IntIntNode # E: Argument 2 to "Node" has incompatible type "str"; expected "int" m = Node(1, 1) # type: IntNode m1 = Node('x', 1) # type: IntNode # E: Argument 1 to "Node" has incompatible type "str"; expected "int" m2 = Node(1, 1) # type: IntNode[str] # E: Argument 2 to "Node" has incompatible type "int"; expected "str" s = Node(1, 1) # type: SameNode[int] reveal_type(s) # N: Revealed type is "__main__.Node[builtins.int, builtins.int]" s1 = Node(1, 'x') # type: SameNode[int] # E: Argument 2 to "Node" has incompatible type "str"; expected "int" [out] [case testGenericTypeAliasesBasic2] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: ... IntNode = Node[int, S] IntIntNode = Node[int, int] SameNode = Node[T, T] def output_bad() -> IntNode[str]: return Node(1, 1) # Error - bad return type, see out def input(x: IntNode[str]) -> None: pass input(Node(1, 's')) input(Node(1, 1)) # E: Argument 2 to "Node" has incompatible type "int"; expected "str" def output() -> IntNode[str]: return Node(1, 'x') reveal_type(output()) # N: Revealed type is "__main__.Node[builtins.int, builtins.str]" def func(x: IntNode[T]) -> IntNode[T]: return x reveal_type(func) # N: Revealed type is "def [T] (x: __main__.Node[builtins.int, T`-1]) -> __main__.Node[builtins.int, T`-1]" func(1) # E: Argument 1 to "func" has incompatible type "int"; expected "Node[int, Never]" func(Node('x', 1)) # E: Argument 1 to "Node" has incompatible type "str"; expected "int" reveal_type(func(Node(1, 'x'))) # N: Revealed type is "__main__.Node[builtins.int, builtins.str]" def func2(x: SameNode[T]) -> SameNode[T]: return x reveal_type(func2) # N: Revealed type is "def [T] (x: __main__.Node[T`-1, T`-1]) -> __main__.Node[T`-1, T`-1]" func2(Node(1, 'x')) # E: Cannot infer value of type parameter "T" of "func2" y = func2(Node('x', 'x')) reveal_type(y) # N: Revealed type is "__main__.Node[builtins.str, builtins.str]" def wrap(x: T) -> IntNode[T]: return Node(1, x) z: str reveal_type(wrap(z)) # N: Revealed type is "__main__.Node[builtins.int, builtins.str]" [out] main:13: error: Argument 2 to "Node" has incompatible type "int"; expected "str" -- Error formatting is a bit different (and probably better) with new analyzer [case testGenericTypeAliasesWrongAliases] # flags: --show-column-numbers --no-strict-optional from typing import TypeVar, Generic, List, Callable, Tuple, Union T = TypeVar('T') S = TypeVar('S') class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: ... A = Node[T] # Error B = Node[T, T] C = Node[T, T, T] # Error D = Node[T, S] E = Node[Node[T, T], List[T]] F = Node[List[T, T], S] # Error G = Callable[..., List[T, T]] # Error H = Union[int, Tuple[T, Node[T]]] # Error h: H # This was reported on previous line h1: H[int, str] # Error x = None # type: D[int, str] reveal_type(x) y = None # type: E[int] reveal_type(y) X = T # Error [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [out] main:9:5: error: "Node" expects 2 type arguments, but 1 given main:11:5: error: "Node" expects 2 type arguments, but 3 given main:15:10: error: "list" expects 1 type argument, but 2 given main:16:19: error: "list" expects 1 type argument, but 2 given main:17:25: error: "Node" expects 2 type arguments, but 1 given main:19:5: error: Bad number of arguments for type alias, expected 1, given 2 main:22:13: note: Revealed type is "__main__.Node[builtins.int, builtins.str]" main:24:13: note: Revealed type is "__main__.Node[__main__.Node[builtins.int, builtins.int], builtins.list[builtins.int]]" main:26:5: error: Type variable "__main__.T" is invalid as target for type alias [case testGenericTypeAliasesForAliases] from typing import TypeVar, Generic, List, Union T = TypeVar('T') S = TypeVar('S') class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: pass ListedNode = Node[List[T], List[S]] Second = ListedNode[int, T] Third = Union[int, Second[str]] def f2(x: T) -> Second[T]: return Node([1], [x]) reveal_type(f2('a')) # N: Revealed type is "__main__.Node[builtins.list[builtins.int], builtins.list[builtins.str]]" def f3() -> Third: return Node([1], ['x']) reveal_type(f3()) # N: Revealed type is "Union[builtins.int, __main__.Node[builtins.list[builtins.int], builtins.list[builtins.str]]]" [builtins fixtures/list.pyi] [case testGenericTypeAliasesWithNestedArgs] # flags: --pretty --show-error-codes import other a: other.Array[float] reveal_type(a) # N: Revealed type is "other.array[Any, other.dtype[builtins.float]]" [out] main:3: error: Type argument "float" of "Array" must be a subtype of "generic" [type-var] a: other.Array[float] ^ [file other.py] from typing import Any, Generic, TypeVar DT = TypeVar("DT", covariant=True, bound='dtype[Any]') DTS = TypeVar("DTS", covariant=True, bound='generic') S = TypeVar("S", bound=Any) ST = TypeVar("ST", bound='generic', covariant=True) class common: pass class generic(common): pass class dtype(Generic[DTS]): pass class array(common, Generic[S, DT]): pass Array = array[Any, dtype[ST]] [case testGenericTypeAliasesAny] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: self.x = x self.y = y IntNode = Node[int, S] AnyNode = Node[S, T] def output() -> IntNode[str]: return Node(1, 'x') x = output() # type: IntNode # This is OK (implicit Any) y: IntNode y.x = 1 y.x = 'x' # E: Incompatible types in assignment (expression has type "str", variable has type "int") y.y = 1 # Both are OK (implicit Any) y.y = 'x' z = Node(1, 'x') # type: AnyNode reveal_type(z) # N: Revealed type is "__main__.Node[Any, Any]" [out] [case testGenericTypeAliasesAccessingMethods] from typing import TypeVar, Generic, List T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: self.x = x def meth(self) -> T: return self.x ListedNode = Node[List[T]] l: ListedNode[int] l.x.append(1) l.meth().append(1) reveal_type(l.meth()) # N: Revealed type is "builtins.list[builtins.int]" l.meth().append('x') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" ListedNode[str]([]).x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "list[str]") [builtins fixtures/list.pyi] [case testGenericTypeAliasesSubclassing] from typing import TypeVar, Generic, Tuple, List T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: ... TupledNode = Node[Tuple[T, T]] class D(TupledNode[T]): ... class L(List[TupledNode[T]]): ... def f_bad(x: T) -> D[T]: return D(1) # Error, see out L[int]().append(Node((1, 1))) L[int]().append(5) # E: Argument 1 to "append" of "list" has incompatible type "int"; expected "Node[tuple[int, int]]" x = D((1, 1)) # type: D[int] y = D(5) # type: D[int] # E: Argument 1 to "D" has incompatible type "int"; expected "tuple[int, int]" def f(x: T) -> D[T]: return D((x, x)) reveal_type(f('a')) # N: Revealed type is "__main__.D[builtins.str]" [builtins fixtures/list.pyi] [out] main:15: error: Argument 1 to "D" has incompatible type "int"; expected "tuple[T, T]" [case testGenericTypeAliasesSubclassingBad] from typing import TypeVar, Generic, Tuple, Union T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: ... TupledNode = Node[Tuple[T, T]] UNode = Union[int, Node[T]] class C(TupledNode): ... # Same as TupledNode[Any] class D(TupledNode[T]): ... class E(Generic[T], UNode[T]): ... # E: Invalid base class "UNode" reveal_type(D((1, 1))) # N: Revealed type is "__main__.D[builtins.int]" [builtins fixtures/list.pyi] [case testGenericTypeAliasesUnion] from typing import TypeVar, Generic, Union, Any T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: self.x = x UNode = Union[int, Node[T]] x = 1 # type: UNode[int] x + 1 # E: Unsupported left operand type for + ("Node[int]") \ # N: Left operand is of type "Union[int, Node[int]]" if not isinstance(x, Node): x + 1 if not isinstance(x, int): x.x = 1 x.x = 'a' # E: Incompatible types in assignment (expression has type "str", variable has type "int") def f(x: T) -> UNode[T]: if int(): return Node(x) else: return 1 reveal_type(f(1)) # N: Revealed type is "Union[builtins.int, __main__.Node[builtins.int]]" TNode = Union[T, Node[int]] s = 1 # type: TNode[str] # E: Incompatible types in assignment (expression has type "int", variable has type "Union[str, Node[int]]") if not isinstance(s, str): s.x = 1 z = None # type: TNode # Same as TNode[Any] z.x z.foo() # E: Item "Node[int]" of "Union[Any, Node[int]]" has no attribute "foo" [builtins fixtures/isinstance.pyi] [case testGenericTypeAliasesTuple] from typing import TypeVar, Tuple T = TypeVar('T') SameTP = Tuple[T, T] IntTP = Tuple[int, T] def f1(x: T) -> SameTP[T]: return x, x a, b, c = f1(1) # E: Need more than 2 values to unpack (3 expected) x, y = f1(1) reveal_type(x) # N: Revealed type is "builtins.int" def f2(x: IntTP[T]) -> IntTP[T]: return x f2((1, 2, 3)) # E: Argument 1 to "f2" has incompatible type "tuple[int, int, int]"; expected "tuple[int, Never]" reveal_type(f2((1, 'x'))) # N: Revealed type is "tuple[builtins.int, builtins.str]" [builtins fixtures/for.pyi] [case testGenericTypeAliasesCallable] from typing import TypeVar, Generic, Callable T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: ... BadC = Callable[T] # E: Please use "Callable[[], ]" or "Callable" C = Callable[..., T] C2 = Callable[[T, T], Node[T]] def make_cb(x: T) -> C[T]: return lambda *args: x reveal_type(make_cb(1)) # N: Revealed type is "def (*Any, **Any) -> builtins.int" def use_cb(arg: T, cb: C2[T]) -> Node[T]: return cb(arg, arg) use_cb(1, 1) # E: Argument 2 to "use_cb" has incompatible type "int"; expected "Callable[[int, int], Node[int]]" my_cb: C2[int] use_cb('x', my_cb) # E: Argument 2 to "use_cb" has incompatible type "Callable[[int, int], Node[int]]"; expected "Callable[[str, str], Node[str]]" reveal_type(use_cb(1, my_cb)) # N: Revealed type is "__main__.Node[builtins.int]" [builtins fixtures/tuple.pyi] [out] [case testGenericTypeAliasesPEPBasedExample] from typing import TypeVar, List, Tuple T = TypeVar('T', int, bool) Vec = List[Tuple[T, T]] vec = [] # type: Vec[bool] vec.append('x') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "tuple[bool, bool]" reveal_type(vec[0]) # N: Revealed type is "tuple[builtins.bool, builtins.bool]" def fun1(v: Vec[T]) -> T: return v[0][0] def fun2(v: Vec[T], scale: T) -> Vec[T]: return v reveal_type(fun1([(1, 1)])) # N: Revealed type is "builtins.int" fun1(1) # E: Argument 1 to "fun1" has incompatible type "int"; expected "list[tuple[bool, bool]]" fun1([(1, 'x')]) # E: Cannot infer value of type parameter "T" of "fun1" reveal_type(fun2([(1, 1)], 1)) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.int]]" fun2([('x', 'x')], 'x') # E: Value of type variable "T" of "fun2" cannot be "str" [builtins fixtures/list.pyi] [case testGenericTypeAliasesImporting] from typing import TypeVar from a import Node, TupledNode T = TypeVar('T') n: TupledNode[int] n.x = 1 n.y = (1, 1) n.y = 'x' # E: Incompatible types in assignment (expression has type "str", variable has type "tuple[int, int]") def f(x: Node[T, T]) -> TupledNode[T]: return Node(x.x, (x.x, x.x)) f(1) # E: Argument 1 to "f" has incompatible type "int"; expected "Node[Never, Never]" f(Node(1, 'x')) # E: Cannot infer value of type parameter "T" of "f" reveal_type(Node('x', 'x')) # N: Revealed type is "a.Node[builtins.str, builtins.str]" [file a.py] from typing import TypeVar, Generic, Tuple T = TypeVar('T') S = TypeVar('S') class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: self.x = x self.y = y TupledNode = Node[T, Tuple[T, T]] [builtins fixtures/list.pyi] [case testGenericTypeAliasesImportingWithoutTypeVar] from typing import Tuple from lib import Transform def int_tf(m: int) -> Transform[int, str]: def transform(i: int, pos: int) -> Tuple[int, str]: pass return transform var: Transform[int, str] reveal_type(var) # N: Revealed type is "def (builtins.int, builtins.int) -> tuple[builtins.int, builtins.str]" [file lib.py] from typing import Callable, TypeVar, Tuple T = TypeVar('T') R = TypeVar('R') Transform = Callable[[T, int], Tuple[T, R]] [builtins fixtures/tuple.pyi] [out] [case testGenericTypeAliasesImportingWithoutTypeVarError] from a import Alias x: Alias[int, str] # E: Bad number of arguments for type alias, expected 1, given 2 reveal_type(x) # N: Revealed type is "builtins.list[builtins.list[Any]]" [file a.py] from typing import TypeVar, List T = TypeVar('T') Alias = List[List[T]] [builtins fixtures/list.pyi] [case testGenericAliasWithTypeVarsFromDifferentModules] from mod import Alias, TypeVar S = TypeVar('S') NewAlias = Alias[int, int, S, S] class C: pass x: NewAlias[str] reveal_type(x) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.int, builtins.str, builtins.str]]" y: Alias[int, str, C, C] reveal_type(y) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str, __main__.C, __main__.C]]" [file mod.py] from typing import TypeVar, List, Tuple import a import b T = TypeVar('T') Alias = List[Tuple[T, a.T, b.T, b.B.T]] # alias_tvars here will be ['T', 'a.T', 'b.T', 'b.B.T'] [file a.py] from typing import TypeVar T = TypeVar('T') [file b.py] from typing import TypeVar T = TypeVar('T') class B: T = TypeVar('T') [builtins fixtures/list.pyi] [out] [case testTypeAliasesResultingInPlainInstance] from typing import Optional, Union O = Optional[int] U = Union[int] x: O y: U reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" reveal_type(y) # N: Revealed type is "builtins.int" U[int] # E: Type application targets a non-generic function or class O[int] # E: Bad number of arguments for type alias, expected 0, given 1 \ # E: Type application is only supported for generic classes [case testAliasesInClassBodyNormalVsSubscripted] from typing import Union, Type, Iterable class A: pass class B(A): pass class C: a = A # This is a variable b = Union[int, str] # This is an alias c: Type[object] = Iterable[int] # This is however also a variable if int(): a = B if int(): b = int # E: Cannot assign multiple types to name "b" without an explicit "type[...]" annotation if int(): c = int def f(self, x: a) -> None: pass # E: Variable "__main__.C.a" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases def g(self, x: b) -> None: pass def h(self, x: c) -> None: pass # E: Variable "__main__.C.c" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases x: b reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [out] [case testGenericTypeAliasesRuntimeExpressionsInstance] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: ... IntNode = Node[int, T] IntNode[int](1, 1) IntNode[int](1, 'a') # E: Argument 2 to "Node" has incompatible type "str"; expected "int" SameNode = Node[T, T] ff = SameNode[T](1, 1) # E: Type variable "__main__.T" is unbound \ # N: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) \ # N: (Hint: Use "T" in function signature to bind "T" inside a function) a = SameNode(1, 'x') reveal_type(a) # N: Revealed type is "__main__.Node[Any, Any]" b = SameNode[int](1, 1) reveal_type(b) # N: Revealed type is "__main__.Node[builtins.int, builtins.int]" SameNode[int](1, 'x') # E: Argument 2 to "Node" has incompatible type "str"; expected "int" [out] [case testGenericTypeAliasesRuntimeExpressionsOther] from typing import TypeVar, Union, Tuple, Callable, Any T = TypeVar('T') CA = Callable[[T], int] TA = Tuple[T, int] UA = Union[T, int] cs = CA + 1 # E: Unsupported left operand type for + ("") reveal_type(cs) # N: Revealed type is "Any" ts = TA() # E: "" not callable reveal_type(ts) # N: Revealed type is "Any" us = UA.x # E: "" has no attribute "x" reveal_type(us) # N: Revealed type is "Any" xx = CA[str] + 1 # E: Type application is only supported for generic classes yy = TA[str]() # E: Type application is only supported for generic classes zz = UA[str].x # E: Type application is only supported for generic classes [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [out] [case testGenericTypeAliasesTypeVarBinding] from typing import TypeVar, Generic, List T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): def __init__(self, x: T, y: S) -> None: ... class B(Generic[T, S]): def __init__(self, x: List[T], y: List[S]) -> None: ... SameA = A[T, T] SameB = B[T, T] class C(Generic[T]): a = None # type: SameA[T] b = SameB[T]([], []) reveal_type(C[int]().a) # N: Revealed type is "__main__.A[builtins.int, builtins.int]" reveal_type(C[str]().b) # N: Revealed type is "__main__.B[builtins.str, builtins.str]" [builtins fixtures/list.pyi] [case testGenericTypeAliasesTypeVarConstraints] # flags: --show-column-numbers --no-strict-optional from typing import TypeVar, Generic T = TypeVar('T', int, list) S = TypeVar('S', int, list) class A(Generic[T, S]): def __init__(self, x: T, y: S) -> None: ... BadA = A[str, T] # One error here SameA = A[T, T] x = None # type: SameA[int] y = None # type: SameA[str] # Another error here [builtins fixtures/list.pyi] [out] main:9:8: error: Value of type variable "T" of "A" cannot be "str" main:13:1: error: Value of type variable "T" of "SameA" cannot be "str" [case testGenericTypeAliasesIgnoredPotentialAlias] class A: ... Bad = A[int] # type: ignore reveal_type(Bad) # N: Revealed type is "Any" [out] [case testSubscriptionOfBuiltinAliases] from typing import List, TypeVar list[int]() ListAlias = List def fun() -> ListAlias[int]: pass reveal_type(fun()) # N: Revealed type is "builtins.list[builtins.int]" BuiltinAlias = list BuiltinAlias[int]() T = TypeVar('T') BadGenList = list[T] reveal_type(BadGenList[int]()) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(BadGenList()) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [out] [case testImportedTypeAliasInRuntimeContext] from m import Alias n = Alias[int]([1]) reveal_type(n) # N: Revealed type is "m.Node[builtins.list[builtins.int]]" bad = Alias[str]([1]) # E: List item 0 has incompatible type "int"; expected "str" n2 = Alias([1]) # Same as Node[List[Any]] reveal_type(n2) # N: Revealed type is "m.Node[builtins.list[Any]]" [file m.py] from typing import TypeVar, Generic, List T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: self.x = x Alias = Node[List[T]] [builtins fixtures/list.pyi] [out] -- Simplified declaration of generics -- ---------------------------------- [case testSimplifiedGenericSimple] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class B(Generic[T]): def b(self) -> T: ... class C(Generic[T]): def c(self) -> T: ... class D(B[T], C[S]): ... reveal_type(D[str, int]().b()) # N: Revealed type is "builtins.str" reveal_type(D[str, int]().c()) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [out] [case testSimplifiedGenericCallable] from typing import TypeVar, Generic, Callable T = TypeVar('T') S = TypeVar('S') class B(Generic[T]): def b(self) -> T: ... class D(B[Callable[[T], S]]): ... reveal_type(D[str, int]().b()) # N: Revealed type is "def (builtins.str) -> builtins.int" [builtins fixtures/list.pyi] [out] [case testSimplifiedGenericComplex] from typing import TypeVar, Generic, Tuple T = TypeVar('T') S = TypeVar('S') U = TypeVar('U') class A(Generic[T, S]): pass class B(Generic[T, S]): def m(self) -> Tuple[T, S]: pass class C(A[S, B[T, int]], B[U, A[int, T]]): pass c = C[object, int, str]() reveal_type(c.m()) # N: Revealed type is "tuple[builtins.str, __main__.A[builtins.int, builtins.int]]" [builtins fixtures/tuple.pyi] [out] [case testSimplifiedGenericOrder] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class B(Generic[T]): def b(self) -> T: ... class C(Generic[T]): def c(self) -> T: ... class D(B[T], C[S], Generic[S, T]): ... reveal_type(D[str, int]().b()) # N: Revealed type is "builtins.int" reveal_type(D[str, int]().c()) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [out] [case testSimplifiedGenericDuplicate] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T, T]): # E: Duplicate type variables in Generic[...] or Protocol[...] pass a = A[int]() [builtins fixtures/list.pyi] [out] [case testSimplifiedGenericNotAll] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class A(Generic[T]): pass class B(Generic[T]): pass class C(A[T], B[S], Generic[T]): # E: If Generic[...] or Protocol[...] is present it should list all type variables pass c = C[int, str]() [builtins fixtures/list.pyi] [out] [case testSimplifiedGenericInvalid] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass class B(A[S]): # E: Name "S" is not defined pass [builtins fixtures/list.pyi] [out] -- Multiple assignment with lists -- ------------------------------ [case testMultipleAssignmentWithLists] from typing import List class A: pass class B: pass class B2(B): pass a: A b: B b2: B2 list_a = [a] list_b = [b] list_b2 = [b2] if int(): a, b = list_a # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b, a = list_a # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b2, b2 = list_b # E: Incompatible types in assignment (expression has type "B", variable has type "B2") a, a = list_a b, b2, b = list_b2 [builtins fixtures/for.pyi] [case testMultipleAssignmentWithListsInInitialization] from typing import List class A: pass list_object = [object()] list_a = [A()] a, b = list_object # type: (A, object) # E: Incompatible types in assignment (expression has type "object", variable has type "A") c, d = list_object # type: (object, A) # E: Incompatible types in assignment (expression has type "object", variable has type "A") e, f = list_a # type: (A, object) [builtins fixtures/for.pyi] [case testMultipleAssignmentWithListAndIndexing] from typing import List a: List[A] b: List[int] a[1], b[1] = a # E: Incompatible types in assignment (expression has type "A", target has type "int") a[1], a[2] = a class A: pass [file builtins.py] from typing import TypeVar, Generic, Iterable T = TypeVar('T') class object: pass class list(Iterable[T]): def __setitem__(self, x: int, v: T) -> None: pass class int: pass class type: pass class tuple: pass class function: pass class str: pass class dict: pass [case testMultipleAssignmentWithIterable] from typing import Iterable, TypeVar a: int b: str T = TypeVar('T') def f(x: T) -> Iterable[T]: pass a, b = f(a) # E: Incompatible types in assignment (expression has type "int", variable has type "str") b, b = f(a) # E: Incompatible types in assignment (expression has type "int", variable has type "str") a, a = f(a) b, b = f(b) [builtins fixtures/for.pyi] -- Error messages -- -------------- [case testErrorWithLongGenericTypeName] from typing import TypeVar, Generic B = TypeVar('B') C = TypeVar('C') D = TypeVar('D') E = TypeVar('E') F = TypeVar('F') G = TypeVar('G') H = TypeVar('H') I = TypeVar('I') J = TypeVar('J') K = TypeVar('K') L = TypeVar('L') M = TypeVar('M') N = TypeVar('N') O = TypeVar('O') P = TypeVar('P') Q = TypeVar('Q') R = TypeVar('R') S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') V = TypeVar('V') W = TypeVar('W') X = TypeVar('X') Y = TypeVar('Y') Z = TypeVar('Z') class OO: pass a: A[object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object] def f(a: OO) -> None: pass f(a) # E: Argument 1 to "f" has incompatible type "A[object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object, object]"; expected "OO" class A(Generic[B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V, W, X, Y, Z]): pass [case testErrorWithShorterGenericTypeName] from typing import TypeVar, Generic S = TypeVar('S') T = TypeVar('T') a: A[object, B] def f(a: 'B') -> None: pass f(a) # E: Argument 1 to "f" has incompatible type "A[object, B]"; expected "B" class A(Generic[S, T]): pass class B: pass [case testErrorWithShorterGenericTypeName2] from typing import Callable, TypeVar, Generic S = TypeVar('S') T = TypeVar('T') a: A[object, Callable[[], None]] def f(a: 'B') -> None: pass f(a) # E: Argument 1 to "f" has incompatible type "A[object, Callable[[], None]]"; expected "B" class A(Generic[S, T]): pass class B: pass -- Overloads + generics -- -------------------- [case testGenericArgumentInOverload] from foo import * [file foo.pyi] from typing import overload, List class A: pass class B: pass a: A b: B @overload def f(a: List[A]) -> A: pass @overload def f(a: B) -> B: pass b = f([a]) # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = f([b]) # E: List item 0 has incompatible type "B"; expected "A" a = f(b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = f([a]) b = f(b) [builtins fixtures/list.pyi] [case testGenericFunctionAsOverloadItem] from foo import * [file foo.pyi] from typing import overload, TypeVar, List T = TypeVar('T') class A: pass class B: pass @overload def f(a: B) -> B: pass @overload def f(a: List[T]) -> T: pass a: A b: B if int(): b = f([a]) # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = f([b]) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = f(b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = f([a]) b = f([b]) if int(): b = f(b) [builtins fixtures/list.pyi] [case testGenericDictWithOverload] from typing import Dict, Generic, TypeVar, Any, overload T = TypeVar("T") class Key(Generic[T]): ... class CustomDict(dict): @overload # type: ignore[override] def __setitem__(self, key: Key[T], value: T) -> None: ... @overload def __setitem__(self, key: str, value: Any) -> None: ... def __setitem__(self, key, value): return super().__setitem__(key, value) def a1(d: Dict[str, Any]) -> None: if (var := d.get("arg")) is None: var = d["arg"] = {} reveal_type(var) # N: Revealed type is "builtins.dict[Any, Any]" def a2(d: CustomDict) -> None: if (var := d.get("arg")) is None: var = d["arg"] = {} reveal_type(var) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] -- Type variable scoping -- --------------------- [case testLocalTypeVariable] from typing import TypeVar def f() -> None: T = TypeVar('T') def g(x: T) -> T: pass a = g(1) if int(): a = 1 a = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [out] [case testClassLevelTypeVariable] from typing import TypeVar class A: T = TypeVar('T') def g(self, x: T) -> T: pass a = A().g(1) if int(): a = 1 if int(): a = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testGenericInnerClass] from typing import TypeVar, Generic T = TypeVar('T') class A: class B(Generic[T]): def meth(self) -> T: ... B[int]() reveal_type(B[int]().meth) # N: Revealed type is "def () -> builtins.int" A.B[int]() reveal_type(A.B[int]().meth) # N: Revealed type is "def () -> builtins.int" [case testGenericClassInnerFunctionTypeVariable] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def __init__(self, a: T) -> None: self.a = a def f(self, n: int) -> None: def g(a: T): self.a = a g(self.a) g(n) # E: Argument 1 to "g" has incompatible type "int"; expected "T" -- This is non-trivial with new analyzer (and also in fine grained incremental): -- We need to store whole tvar_scope, not only active class. [case testFunctionInGenericInnerClassTypeVariable-skip] from typing import TypeVar, Generic T = TypeVar('T') class Outer(Generic[T]): class Inner: x: T # E: Invalid type "__main__.T" def f(self, x: T) -> T: ... # E: Type variable "T" is bound by an outer class def g(self) -> None: y: T # E: Invalid type "__main__.T" [case testGenericClassInsideOtherGenericClass] from typing import TypeVar, Generic T = TypeVar("T") K = TypeVar("K") class C(Generic[T]): def __init__(self, t: T) -> None: ... class F(Generic[K]): def __init__(self, k: K) -> None: ... def foo(self) -> K: ... reveal_type(C.F(17).foo()) # N: Revealed type is "builtins.int" reveal_type(C("").F(17).foo()) # N: Revealed type is "builtins.int" reveal_type(C.F) # N: Revealed type is "def [K] (k: K`1) -> __main__.C.F[K`1]" reveal_type(C("").F) # N: Revealed type is "def [K] (k: K`6) -> __main__.C.F[K`6]" -- Callable subtyping with generic functions -- ----------------------------------------- [case testSubtypingWithGenericFunctions] from typing import TypeVar A = TypeVar('A') B = TypeVar('B') def f1(x: A) -> A: ... def f2(x: A) -> B: ... # E: A function returning TypeVar should receive at least one argument containing the same TypeVar def f3(x: B) -> B: ... def f4(x: int) -> A: ... # E: A function returning TypeVar should receive at least one argument containing the same TypeVar y1 = f1 if int(): y1 = f1 if int(): y1 = f2 if int(): y1 = f3 if int(): y1 = f4 # E: Incompatible types in assignment (expression has type "Callable[[int], A@f4]", variable has type "Callable[[A@f1], A@f1]") y2 = f2 if int(): y2 = f2 if int(): y2 = f1 # E: Incompatible types in assignment (expression has type "Callable[[A@f1], A@f1]", variable has type "Callable[[A@f2], B]") if int(): y2 = f3 # E: Incompatible types in assignment (expression has type "Callable[[B@f3], B@f3]", variable has type "Callable[[A], B@f2]") if int(): y2 = f4 # E: Incompatible types in assignment (expression has type "Callable[[int], A@f4]", variable has type "Callable[[A@f2], B]") y3 = f3 if int(): y3 = f3 if int(): y3 = f1 if int(): y3 = f2 if int(): y3 = f4 # E: Incompatible types in assignment (expression has type "Callable[[int], A]", variable has type "Callable[[B], B]") y4 = f4 if int(): y4 = f4 if int(): y4 = f1 # E: Incompatible types in assignment (expression has type "Callable[[A@f1], A@f1]", variable has type "Callable[[int], A@f4]") if int(): y4 = f2 if int(): y4 = f3 # E: Incompatible types in assignment (expression has type "Callable[[B], B]", variable has type "Callable[[int], A]") [case testSubtypingWithGenericInnerFunctions] from typing import TypeVar A = TypeVar('A') B = TypeVar('B') T = TypeVar('T') def outer(t: T) -> None: def f1(x: A) -> A: ... def f2(x: A) -> B: ... # E: A function returning TypeVar should receive at least one argument containing the same TypeVar def f3(x: T) -> A: ... # E: A function returning TypeVar should receive at least one argument containing the same TypeVar def f4(x: A) -> T: ... def f5(x: T) -> T: ... y1 = f1 if int(): y1 = f2 y1 = f3 # E: Incompatible types in assignment (expression has type "Callable[[T], A@f3]", variable has type "Callable[[A@f1], A@f1]") y1 = f4 # E: Incompatible types in assignment (expression has type "Callable[[A@f4], T]", variable has type "Callable[[A@f1], A@f1]") y1 = f5 # E: Incompatible types in assignment (expression has type "Callable[[T], T]", variable has type "Callable[[A], A]") y2 = f2 if int(): y2 = f1 # E: Incompatible types in assignment (expression has type "Callable[[A@f1], A@f1]", variable has type "Callable[[A@f2], B]") y3 = f3 if int(): y3 = f1 # E: Incompatible types in assignment (expression has type "Callable[[A@f1], A@f1]", variable has type "Callable[[T], A@f3]") y3 = f2 y3 = f4 # E: Incompatible types in assignment (expression has type "Callable[[A@f4], T]", variable has type "Callable[[T], A@f3]") y3 = f5 # E: Incompatible types in assignment (expression has type "Callable[[T], T]", variable has type "Callable[[T], A]") y4 = f4 if int(): y4 = f1 # E: Incompatible types in assignment (expression has type "Callable[[A@f1], A@f1]", variable has type "Callable[[A@f4], T]") y4 = f2 y4 = f3 # E: Incompatible types in assignment (expression has type "Callable[[T], A@f3]", variable has type "Callable[[A@f4], T]") y4 = f5 # E: Incompatible types in assignment (expression has type "Callable[[T], T]", variable has type "Callable[[A], T]") y5 = f5 if int(): y5 = f1 y5 = f2 y5 = f3 y5 = f4 [case testSubtypingWithGenericFunctionUsingTypevarWithValues] from typing import TypeVar, Callable T = TypeVar('T', int, str) def f(x: T) -> T: pass def g1(f: Callable[[str], str]) -> None: pass g1(f) def g2(f: Callable[[int], int]) -> None: pass g2(f) def g3(f: Callable[[object], object]) -> None: pass g3(f) # E: Argument 1 to "g3" has incompatible type "Callable[[T], T]"; \ expected "Callable[[object], object]" [case testSubtypingWithGenericFunctionUsingTypevarWithValues2] from typing import TypeVar, Callable T = TypeVar('T', int, str) def f(x: T) -> T: pass g = f g = f --Operations on type variable types -- --------------------------------- [case testTypeVariableTypeEquality] from typing import TypeVar T = TypeVar('T') def f(a: T, b: T) -> T: a.__ne__(b) if a == b: return a else: return b [builtins fixtures/ops.pyi] [case testTypeVariableTypeIs] from typing import TypeVar T = TypeVar('T') def f(a: T, b: T) -> T: if a is b or a is 1: return a else: return b [builtins fixtures/ops.pyi] [case testTypeVarLessThan] from typing import TypeVar T = TypeVar('T') def f(a: T, b: T) -> T: if a < b: # E: Unsupported left operand type for < ("T") return a else: return b [builtins fixtures/ops.pyi] [case testTypeVarReversibleOperator] from typing import TypeVar class A: def __mul__(cls, other: int) -> str: return "" T = TypeVar("T", bound=A) def f(x: T) -> str: return reveal_type(x * 0) # N: Revealed type is "builtins.str" [case testTypeVarReversibleOperatorTuple] from typing import TypeVar, Tuple class A(Tuple[int, int]): def __mul__(cls, other: Tuple[int, int]) -> str: return "" # type: ignore # overriding default __mul__ T = TypeVar("T", bound=A) def f(x: T) -> str: return reveal_type(x * (1, 2) ) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] -- Subtyping generic callables -- --------------------------- [case testSubtypingGenericTypeObject] from typing import Callable, Generic, TypeVar T = TypeVar('T') class C(Generic[T]): def __init__(self) -> None: pass x = C # type: Callable[[], C[int]] y = C # type: Callable[[], int] # E: Incompatible types in assignment (expression has type "type[C[T]]", variable has type "Callable[[], int]") -- Special cases -- ------------- [case testIdentityHigherOrderFunction] from typing import Callable, TypeVar A = TypeVar('A') B = TypeVar('B') def square(n: int) -> int: return n def id(f: Callable[[A], B]) -> Callable[[A], B]: return f g = id(square) g(1) g('x') # E: Argument 1 has incompatible type "str"; expected "int" [case testIdentityHigherOrderFunction2] from typing import Callable, TypeVar A = TypeVar('A') def voidify(n: int) -> None: pass def identity(f: Callable[[A], None]) -> Callable[[A], None]: return f identity(voidify)(3) [case testIdentityHigherOrderFunction3] from typing import Callable, TypeVar A = TypeVar('A') B = TypeVar('B') def fn(n: B) -> None: pass def identity(f: A) -> A: return f identity(fn) identity(fn)('x') [case testTypeVariableUnionAndCallableInTypeInference] from typing import Union, Callable, TypeVar T = TypeVar('T') def f(x: T, y: Union[T, Callable[[T], None]]) -> None: pass f('', '') [case testGenericFunctionsWithUnalignedIds] from typing import TypeVar A = TypeVar('A') B = TypeVar('B') def f1(x: int, y: A) -> A: ... def f2(x: int, y: A) -> B: ... # E: A function returning TypeVar should receive at least one argument containing the same TypeVar def f3(x: A, y: B) -> B: ... g = f1 g = f2 g = f3 [case testTypeVariableWithContainerAndTuple] from typing import TypeVar, Container T = TypeVar('T') def f(x: Container[T]) -> T: ... reveal_type(f((1, 2))) # N: Revealed type is "builtins.int" [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [case testClassMethodInGenericClassWithGenericConstructorArg] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def __init__(self, a: T) -> None: pass @classmethod def f(cls) -> None: pass [builtins fixtures/classmethod.pyi] [case testClassMethodInClassWithGenericConstructor] from typing import TypeVar, Generic T = TypeVar('T') class A: def __init__(self, a: T) -> None: pass @classmethod def f(cls) -> None: pass [builtins fixtures/classmethod.pyi] [case testGenericOperatorMethodOverlapping] from typing import TypeVar, Generic, Tuple T = TypeVar('T') T2 = TypeVar('T2') S = TypeVar('S', bound=str) S2 = TypeVar('S2', bound=str) class G(Generic[T]): pass class A: def __or__(self, x: G[T]) -> G[T]: pass def __ior__(self, x: G[T2]) -> G[T2]: pass class B: def __or__(self, x: G[T]) -> G[T]: pass def __ior__(self, x: G[S]) -> G[S]: pass \ # E: Signatures of "__ior__" and "__or__" are incompatible class C: def __or__(self, x: G[S]) -> G[S]: pass def __ior__(self, x: G[S2]) -> G[S2]: pass [case testGenericOperatorMethodOverlapping2] from typing import TypeVar, Generic, Tuple X = TypeVar('X') T = TypeVar('T', int, str) T2 = TypeVar('T2', int, str) S = TypeVar('S', float, str) S2 = TypeVar('S2', float, str) class G(Generic[X]): pass class A: def __or__(self, x: G[T]) -> G[T]: pass def __ior__(self, x: G[T2]) -> G[T2]: pass class B: def __or__(self, x: G[T]) -> G[T]: pass def __ior__(self, x: G[S]) -> G[S]: pass \ # E: Signatures of "__ior__" and "__or__" are incompatible class C: def __or__(self, x: G[S]) -> G[S]: pass def __ior__(self, x: G[S2]) -> G[S2]: pass class D: def __or__(self, x: G[X]) -> G[X]: pass def __ior__(self, x: G[S2]) -> G[S2]: pass \ # E: Signatures of "__ior__" and "__or__" are incompatible [case testConstraintInferenceForAnyAgainstTypeT] from typing import Type, Any, TypeVar T = TypeVar('T') def f(c: Type[T]) -> T: ... x: Any reveal_type(f(x)) # N: Revealed type is "Any" [case testCallTypeTWithGenericBound] from typing import Generic, TypeVar, Type T = TypeVar('T') S = TypeVar('S', bound='A') class A(Generic[T]): pass def f(cls: Type[S]) -> None: cls() [case testQualifiedTypeVariableName] import b def f(x: b.T) -> b.T: return x reveal_type(f) reveal_type(b.g) [file b.py] from typing import TypeVar T = TypeVar('T') def g(x: T) -> T: return x [out] main:3: note: Revealed type is "def [b.T] (x: b.T`-1) -> b.T`-1" main:4: note: Revealed type is "def [T] (x: T`-1) -> T`-1" [case testPartiallyQualifiedTypeVariableName] from p import b def f(x: b.T) -> b.T: return x reveal_type(f) reveal_type(b.g) [file p/__init__.py] [file p/b.py] from typing import TypeVar T = TypeVar('T') def g(x: T) -> T: return x [out] main:3: note: Revealed type is "def [b.T] (x: b.T`-1) -> b.T`-1" main:4: note: Revealed type is "def [T] (x: T`-1) -> T`-1" [case testGenericClassMethodSimple] from typing import Generic, TypeVar T = TypeVar('T') class C(Generic[T]): @classmethod def get(cls) -> T: ... class D(C[str]): ... reveal_type(D.get()) # N: Revealed type is "builtins.str" reveal_type(D().get()) # N: Revealed type is "builtins.str" [builtins fixtures/classmethod.pyi] [case testGenericClassMethodExpansion] from typing import Generic, TypeVar, Tuple T = TypeVar('T') class C(Generic[T]): @classmethod def get(cls) -> T: ... class D(C[Tuple[T, T]]): ... class E(D[str]): ... reveal_type(E.get()) # N: Revealed type is "tuple[builtins.str, builtins.str]" reveal_type(E().get()) # N: Revealed type is "tuple[builtins.str, builtins.str]" [builtins fixtures/classmethod.pyi] [case testGenericClassMethodExpansionReplacingTypeVar] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class C(Generic[T]): @classmethod def get(cls) -> T: ... class D(C[S]): ... class E(D[int]): ... reveal_type(E.get()) # N: Revealed type is "builtins.int" reveal_type(E().get()) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [case testGenericClassMethodUnboundOnClass] from typing import Generic, TypeVar T = TypeVar('T') class C(Generic[T]): @classmethod def get(cls) -> T: ... @classmethod def make_one(cls, x: T) -> C[T]: ... reveal_type(C.get) # N: Revealed type is "def [T] () -> T`1" reveal_type(C[int].get) # N: Revealed type is "def () -> builtins.int" reveal_type(C.make_one) # N: Revealed type is "def [T] (x: T`1) -> __main__.C[T`1]" reveal_type(C[int].make_one) # N: Revealed type is "def (x: builtins.int) -> __main__.C[builtins.int]" [builtins fixtures/classmethod.pyi] [case testGenericClassMethodUnboundOnSubClass] from typing import Generic, TypeVar, Tuple T = TypeVar('T') S = TypeVar('S') class C(Generic[T]): @classmethod def get(cls) -> T: ... @classmethod def make_one(cls, x: T) -> C[T]: ... class D(C[Tuple[T, S]]): ... class E(D[S, str]): ... reveal_type(D.make_one) # N: Revealed type is "def [T, S] (x: tuple[T`1, S`2]) -> __main__.C[tuple[T`1, S`2]]" reveal_type(D[int, str].make_one) # N: Revealed type is "def (x: tuple[builtins.int, builtins.str]) -> __main__.C[tuple[builtins.int, builtins.str]]" reveal_type(E.make_one) # N: Revealed type is "def [S] (x: tuple[S`1, builtins.str]) -> __main__.C[tuple[S`1, builtins.str]]" reveal_type(E[int].make_one) # N: Revealed type is "def (x: tuple[builtins.int, builtins.str]) -> __main__.C[tuple[builtins.int, builtins.str]]" [builtins fixtures/classmethod.pyi] [case testGenericClassClsNonGeneric] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): @classmethod def f(cls, x: T) -> T: return x @classmethod def other(cls) -> None: reveal_type(C) # N: Revealed type is "def [T] () -> __main__.C[T`1]" reveal_type(C[T]) # N: Revealed type is "def () -> __main__.C[T`1]" reveal_type(C.f) # N: Revealed type is "def [T] (x: T`1) -> T`1" reveal_type(C[T].f) # N: Revealed type is "def (x: T`1) -> T`1" reveal_type(cls.f) # N: Revealed type is "def (x: T`1) -> T`1" [builtins fixtures/classmethod.pyi] [case testGenericClassUnrelatedVars] from typing import TypeVar, Generic T = TypeVar('T') T2 = TypeVar('T2') class C(Generic[T]): @classmethod def f(cls, x: T) -> T: return x @classmethod def g(cls, x: T2) -> T2: cls.f(x) # E: Argument 1 to "f" of "C" has incompatible type "T2"; expected "T" return x [builtins fixtures/classmethod.pyi] [case testGenericClassInGenericFunction] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def __init__(self, item: T) -> None: ... @classmethod def f(cls, x: T) -> T: return x def foo(x: T, y: int) -> T: C(y) # OK C[T](y) # E: Argument 1 to "C" has incompatible type "int"; expected "T" C[T].f(y) # E: Argument 1 to "f" of "C" has incompatible type "int"; expected "T" C[T].f(x) # OK return x [builtins fixtures/classmethod.pyi] # TODO: enable this when #7935 is fixed. [case testGenericClassInGenericFunctionOverloadedConstructor-skip] from typing import TypeVar, Generic, overload T = TypeVar('T') class C(Generic[T]): @overload def __new__(cls) -> C[None]: ... @overload def __new__(cls, item: T) -> C[T]: ... def __new__(cls, item=None): ... @classmethod def f(cls, x: T) -> T: return x def foo(x: T, y: int) -> T: C.f(y) C(y) # OK C[T](y) # E: Argument 1 to "C" has incompatible type "int"; expected "T" C[T].f(y) # E: Argument 1 to "f" of "C" has incompatible type "int"; expected "T" C[T].f(x) # OK return x [builtins fixtures/classmethod.pyi] [case testGenericClassDirectCall] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def __init__(self, item: T) -> None: ... @classmethod def f(cls) -> None: cls(1) # E: Argument 1 to "C" has incompatible type "int"; expected "T" [builtins fixtures/classmethod.pyi] [case testGenericClassAlternativeConstructorPrecise] from typing import Generic, TypeVar, Type, Tuple T = TypeVar('T') class Base(Generic[T]): Q = TypeVar('Q', bound=Base[T]) def __init__(self, item: T) -> None: ... @classmethod def make_pair(cls: Type[Q], item: T) -> Tuple[Q, Q]: if bool(): return cls(0), cls(0) # E: Argument 1 to "Base" has incompatible type "int"; expected "T" return cls(item), cls(item) [builtins fixtures/classmethod.pyi] [case testGenericClassAlternativeConstructorPreciseOverloaded] from typing import Generic, TypeVar, Type, Tuple, overload, Union T = TypeVar('T') class Base(Generic[T]): Q = TypeVar('Q', bound=Base[T]) def __init__(self, item: T) -> None: ... @overload @classmethod def make_some(cls: Type[Q], item: T) -> Q: ... @overload @classmethod def make_some(cls: Type[Q], item: T, n: int) -> Tuple[Q, ...]: ... @classmethod def make_some(cls: Type[Q], item: T, n: int = 0) -> Union[Q, Tuple[Q, ...]]: if n: return (cls(item),) return cls(item) reveal_type(Base.make_some) # N: Revealed type is "Overload(def [T] (item: T`1) -> __main__.Base[T`1], def [T] (item: T`1, n: builtins.int) -> builtins.tuple[__main__.Base[T`1], ...])" reveal_type(Base.make_some(1)) # N: Revealed type is "__main__.Base[builtins.int]" reveal_type(Base.make_some(1, 1)) # N: Revealed type is "builtins.tuple[__main__.Base[builtins.int], ...]" class Sub(Base[str]): ... Sub.make_some(1) # E: No overload variant of "make_some" of "Base" matches argument type "int" \ # N: Possible overload variants: \ # N: def make_some(cls, item: str) -> Sub \ # N: def make_some(cls, item: str, n: int) -> tuple[Sub, ...] [builtins fixtures/classmethod.pyi] [case testNoGenericAccessOnImplicitAttributes] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def __init__(self, x: T) -> None: self.x = x @classmethod def meth(cls) -> None: cls.x # E: Access to generic instance variables via class is ambiguous [builtins fixtures/classmethod.pyi] [case testGenericClassMethodUnboundOnClassNonMatchingIdNonGeneric] from typing import Generic, TypeVar, Any, Tuple, Type T = TypeVar('T') S = TypeVar('S') Q = TypeVar('Q', bound='A[Any]') class A(Generic[T]): @classmethod def foo(cls: Type[Q]) -> Tuple[T, Q]: ... class B(A[T], Generic[T, S]): def meth(self) -> None: reveal_type(A[T].foo) # N: Revealed type is "def () -> tuple[T`1, __main__.A[T`1]]" @classmethod def other(cls) -> None: reveal_type(cls.foo) # N: Revealed type is "def () -> tuple[T`1, __main__.B[T`1, S`2]]" reveal_type(B.foo) # N: Revealed type is "def [T, S] () -> tuple[T`1, __main__.B[T`1, S`2]]" [builtins fixtures/classmethod.pyi] [case testGenericClassAlternativeConstructorPrecise2] from typing import Generic, TypeVar, Type, Tuple, Any T = TypeVar('T') Q = TypeVar('Q') class Base(Generic[T]): def __init__(self, item: T) -> None: ... @classmethod def make_pair(cls: Type[Q], item: T) -> Tuple[Q, Q]: ... class Sub(Base[T]): ... reveal_type(Sub.make_pair('yes')) # N: Revealed type is "tuple[__main__.Sub[builtins.str], __main__.Sub[builtins.str]]" Sub[int].make_pair('no') # E: Argument 1 to "make_pair" of "Base" has incompatible type "str"; expected "int" [builtins fixtures/classmethod.pyi] [case testGenericClassAttrUnboundOnClass] from typing import Generic, TypeVar T = TypeVar('T') class C(Generic[T]): x: T @classmethod def get(cls) -> T: return cls.x # OK x = C.x # E: Access to generic instance variables via class is ambiguous reveal_type(x) # N: Revealed type is "Any" xi = C[int].x # E: Access to generic instance variables via class is ambiguous reveal_type(xi) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [case testGenericClassAttrUnboundOnSubClass] from typing import Generic, TypeVar, Tuple T = TypeVar('T') class C(Generic[T]): x: T class D(C[int]): ... class E(C[int]): x = 42 x = D.x # E: Access to generic instance variables via class is ambiguous reveal_type(x) # N: Revealed type is "builtins.int" E.x # OK [case testGenericClassMethodOverloaded] from typing import Generic, TypeVar, overload, Tuple T = TypeVar('T') class C(Generic[T]): @overload @classmethod def get(cls) -> T: ... @overload @classmethod def get(cls, n: int) -> Tuple[T, ...]: ... @classmethod def get(cls, n: int = 0): pass class D(C[str]): ... reveal_type(D.get()) # N: Revealed type is "builtins.str" reveal_type(D.get(42)) # N: Revealed type is "builtins.tuple[builtins.str, ...]" [builtins fixtures/classmethod.pyi] [case testGenericClassMethodAnnotation] from typing import Generic, TypeVar, Type T = TypeVar('T') class Maker(Generic[T]): x: T @classmethod def get(cls) -> T: ... class B(Maker[B]): ... def f(o: Maker[T]) -> T: if bool(): return o.x return o.get() b = f(B()) reveal_type(b) # N: Revealed type is "__main__.B" def g(t: Type[Maker[T]]) -> T: if bool(): return t.x return t.get() bb = g(B) reveal_type(bb) # N: Revealed type is "__main__.B" [builtins fixtures/classmethod.pyi] [case testGenericClassMethodAnnotationDecorator] from typing import Generic, Callable, TypeVar, Iterator T = TypeVar('T') class Box(Generic[T]): @classmethod def wrap(cls, generator: Callable[[], T]) -> Box[T]: ... class IteratorBox(Box[Iterator[T]]): ... @IteratorBox.wrap # E: Argument 1 to "wrap" of "Box" has incompatible type "Callable[[], int]"; expected "Callable[[], Iterator[Never]]" def g() -> int: ... [builtins fixtures/classmethod.pyi] [case testGenericClassMethodInGenericFunction] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class C(Generic[T]): @classmethod def get(cls) -> T: ... def func(x: S) -> S: return C[S].get() [builtins fixtures/classmethod.pyi] [case testGenericStaticMethodInGenericFunction] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class C(Generic[T]): @staticmethod def get() -> T: ... def func(x: S) -> S: return C[S].get() [builtins fixtures/staticmethod.pyi] [case testMultipleAssignmentFromAnyIterable] from typing import Any class A: def __iter__(self) -> Any: ... x, y = A() reveal_type(x) # N: Revealed type is "Any" reveal_type(y) # N: Revealed type is "Any" [case testSubclassingGenericSelfClassMethod] from typing import TypeVar, Type AT = TypeVar('AT', bound='A') class A: @classmethod def from_config(cls: Type[AT]) -> AT: ... class B(A): @classmethod def from_config(cls: Type[B]) -> B: return B() [builtins fixtures/classmethod.pyi] [case testSubclassingGenericSelfClassMethodOptional] from typing import TypeVar, Type, Optional AT = TypeVar('AT', bound='A') class A: @classmethod def from_config(cls: Type[AT]) -> Optional[AT]: return None class B(A): @classmethod def from_config(cls: Type[B]) -> Optional[B]: return B() [builtins fixtures/classmethod.pyi] [case testSubclassingGenericSelfClassMethodNonAnnotated] from typing import TypeVar, Type AT = TypeVar('AT', bound='A') class A: @classmethod def from_config(cls: Type[AT]) -> AT: ... class B(A): @classmethod def from_config(cls) -> B: return B() [builtins fixtures/classmethod.pyi] [case testAbstractGenericMethodInference] from abc import ABC, abstractmethod from typing import Callable, Generic, TypeVar A = TypeVar('A') B = TypeVar('B') C = TypeVar('C') class TwoTypes(Generic[A, B]): def __call__(self) -> B: pass class MakeTwoAbstract(ABC, Generic[A]): def __init__(self) -> None: pass @abstractmethod def __call__(self, b: B) -> TwoTypes[A, B]: pass class MakeTwoConcrete(Generic[A]): def __call__(self, b: B) -> TwoTypes[A, B]: pass class MakeTwoGenericSubAbstract(Generic[C], MakeTwoAbstract[C]): def __call__(self, b: B) -> TwoTypes[C, B]: pass class MakeTwoAppliedSubAbstract(MakeTwoAbstract[str]): def __call__(self, b: B) -> TwoTypes[str, B]: pass class Test(): def make_two(self, mts: MakeTwoAbstract[A], mte: MakeTwoConcrete[A], mtgsa: MakeTwoGenericSubAbstract[A], mtasa: MakeTwoAppliedSubAbstract) -> None: reveal_type(mts(2)) # N: Revealed type is "__main__.TwoTypes[A`-1, builtins.int]" reveal_type(mte(2)) # N: Revealed type is "__main__.TwoTypes[A`-1, builtins.int]" reveal_type(mtgsa(2)) # N: Revealed type is "__main__.TwoTypes[A`-1, builtins.int]" reveal_type(mtasa(2)) # N: Revealed type is "__main__.TwoTypes[builtins.str, builtins.int]" reveal_type(MakeTwoConcrete[int]()('foo')) # N: Revealed type is "__main__.TwoTypes[builtins.int, builtins.str]" reveal_type(MakeTwoConcrete[str]()(2)) # N: Revealed type is "__main__.TwoTypes[builtins.str, builtins.int]" reveal_type(MakeTwoAppliedSubAbstract()('foo')) # N: Revealed type is "__main__.TwoTypes[builtins.str, builtins.str]" reveal_type(MakeTwoAppliedSubAbstract()(2)) # N: Revealed type is "__main__.TwoTypes[builtins.str, builtins.int]" reveal_type(MakeTwoGenericSubAbstract[str]()('foo')) # N: Revealed type is "__main__.TwoTypes[builtins.str, builtins.str]" reveal_type(MakeTwoGenericSubAbstract[str]()(2)) # N: Revealed type is "__main__.TwoTypes[builtins.str, builtins.int]" [case testGenericClassPropertyBound] from typing import Generic, TypeVar, Callable, Type, List, Dict T = TypeVar('T') U = TypeVar('U') def classproperty(f: Callable[..., U]) -> U: ... class C(Generic[T]): @classproperty def test(self) -> T: ... class D(C[str]): ... class E1(C[T], Generic[T, U]): ... class E2(C[U], Generic[T, U]): ... class G(C[List[T]]): ... x: C[int] y: Type[C[int]] reveal_type(x.test) # N: Revealed type is "builtins.int" reveal_type(y.test) # N: Revealed type is "builtins.int" xd: D yd: Type[D] reveal_type(xd.test) # N: Revealed type is "builtins.str" reveal_type(yd.test) # N: Revealed type is "builtins.str" ye1: Type[E1[int, str]] ye2: Type[E2[int, str]] reveal_type(ye1.test) # N: Revealed type is "builtins.int" reveal_type(ye2.test) # N: Revealed type is "builtins.str" xg: G[int] yg: Type[G[int]] reveal_type(xg.test) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(yg.test) # N: Revealed type is "builtins.list[builtins.int]" class Sup: attr: int S = TypeVar('S', bound=Sup) def func(tp: Type[C[S]]) -> S: reveal_type(tp.test.attr) # N: Revealed type is "builtins.int" reg: Dict[S, G[S]] reveal_type(reg[tp.test]) # N: Revealed type is "__main__.G[S`-1]" reveal_type(reg[tp.test].test) # N: Revealed type is "builtins.list[S`-1]" if bool(): return tp.test else: return reg[tp.test].test[0] [builtins fixtures/dict.pyi] [case testGenericFunctionAliasExpand] from typing import Optional, TypeVar T = TypeVar("T") def gen(x: T) -> T: ... gen_a = gen S = TypeVar("S", int, str) class C: ... def test() -> Optional[S]: reveal_type(gen_a(C())) # N: Revealed type is "__main__.C" return None [case testGenericFunctionMemberExpand] from typing import Optional, TypeVar, Callable T = TypeVar("T") class A: def __init__(self) -> None: self.gen: Callable[[T], T] S = TypeVar("S", int, str) class C: ... def test() -> Optional[S]: reveal_type(A().gen(C())) # N: Revealed type is "__main__.C" return None [case testGenericJoinCovariant] from typing import Generic, TypeVar, List T = TypeVar("T", covariant=True) class Container(Generic[T]): ... class Base: ... class A(Base): ... class B(Base): ... a: A b: B a_c: Container[A] b_c: Container[B] reveal_type([a, b]) # N: Revealed type is "builtins.list[__main__.Base]" reveal_type([a_c, b_c]) # N: Revealed type is "builtins.list[__main__.Container[__main__.Base]]" [builtins fixtures/list.pyi] [case testGenericJoinContravariant] from typing import Generic, TypeVar, List T = TypeVar("T", contravariant=True) class Container(Generic[T]): ... class A: ... class B(A): ... a_c: Container[A] b_c: Container[B] # TODO: this can be more precise than "object", see a comment in mypy/join.py reveal_type([a_c, b_c]) # N: Revealed type is "builtins.list[builtins.object]" [builtins fixtures/list.pyi] [case testGenericJoinRecursiveTypes] from typing import Sequence, TypeVar class A(Sequence[A]): ... class B(Sequence[B]): ... a: A b: B reveal_type([a, b]) # N: Revealed type is "builtins.list[typing.Sequence[builtins.object]]" [builtins fixtures/list.pyi] [case testGenericJoinRecursiveInvariant] from typing import Generic, TypeVar T = TypeVar("T") class I(Generic[T]): ... class A(I[A]): ... class B(I[B]): ... a: A b: B reveal_type([a, b]) # N: Revealed type is "builtins.list[builtins.object]" [builtins fixtures/list.pyi] [case testGenericJoinNestedInvariantAny] from typing import Any, Generic, TypeVar T = TypeVar("T") class I(Generic[T]): ... a: I[I[int]] b: I[I[Any]] reveal_type([a, b]) # N: Revealed type is "builtins.list[__main__.I[__main__.I[Any]]]" reveal_type([b, a]) # N: Revealed type is "builtins.list[__main__.I[__main__.I[Any]]]" [builtins fixtures/list.pyi] [case testOverlappingTypeVarIds] from typing import TypeVar, Generic class A: ... class B: ... T = TypeVar("T", bound=A) V = TypeVar("V", bound=B) S = TypeVar("S") class Whatever(Generic[T]): def something(self: S) -> S: return self # the "V" here had the same id as "T" and so mypy used to think it could expand one into another. # this test is here to make sure that doesn't happen! class WhateverPartTwo(Whatever[A], Generic[V]): def something(self: S) -> S: return self [case testConstrainedGenericSuper] from typing import Generic, TypeVar AnyStr = TypeVar("AnyStr", str, bytes) class Foo(Generic[AnyStr]): def method1(self, s: AnyStr, t: AnyStr) -> None: ... class Bar(Foo[AnyStr]): def method1(self, s: AnyStr, t: AnyStr) -> None: super().method1('x', b'y') # Should be an error [out] main:10: error: Argument 1 to "method1" of "Foo" has incompatible type "str"; expected "AnyStr" main:10: error: Argument 2 to "method1" of "Foo" has incompatible type "bytes"; expected "AnyStr" [case testTypeVariableClashVar] from typing import Generic, TypeVar, Callable T = TypeVar("T") R = TypeVar("R") class C(Generic[R]): x: Callable[[T], R] def func(x: C[R]) -> R: return x.x(42) # OK [case testTypeVariableClashVarTuple] from typing import Generic, TypeVar, Callable, Tuple T = TypeVar("T") R = TypeVar("R") class C(Generic[R]): x: Callable[[T], Tuple[R, T]] def func(x: C[R]) -> R: if bool(): return x.x(42)[0] # OK else: return x.x(42)[1] # E: Incompatible return value type (got "int", expected "R") [builtins fixtures/tuple.pyi] [case testTypeVariableClashMethod] from typing import Generic, TypeVar, Callable T = TypeVar("T") R = TypeVar("R") class C(Generic[R]): def x(self) -> Callable[[T], R]: ... def func(x: C[R]) -> R: return x.x()(42) # OK [case testTypeVariableClashMethodTuple] from typing import Generic, TypeVar, Callable, Tuple T = TypeVar("T") R = TypeVar("R") class C(Generic[R]): def x(self) -> Callable[[T], Tuple[R, T]]: ... def func(x: C[R]) -> R: if bool(): return x.x()(42)[0] # OK else: return x.x()(42)[1] # E: Incompatible return value type (got "int", expected "R") [builtins fixtures/tuple.pyi] [case testTypeVariableClashVarSelf] from typing import Self, TypeVar, Generic, Callable T = TypeVar("T") S = TypeVar("S") class C(Generic[T]): x: Callable[[S], Self] y: T def foo(x: C[T]) -> T: return x.x(42).y # OK [case testNestedGenericFunctionTypeApplication] from typing import TypeVar, Generic, List A = TypeVar("A") B = TypeVar("B") class C(Generic[A]): x: A def foo(x: A) -> A: def bar() -> List[A]: y = C[List[A]]() z = C[List[B]]() # E: Type variable "__main__.B" is unbound \ # N: (Hint: Use "Generic[B]" or "Protocol[B]" base class to bind "B" inside a class) \ # N: (Hint: Use "B" in function signature to bind "B" inside a function) return y.x return bar()[0] -- TypeVar imported from typing_extensions -- --------------------------------------- [case testTypeVarTypingExtensionsSimpleGeneric] from typing import Generic from typing_extensions import TypeVar T = TypeVar("T") class A(Generic[T]): def __init__(self, value: T) -> None: self.value = value a: A = A(8) b: A[str] = A("") reveal_type(A(1.23)) # N: Revealed type is "__main__.A[builtins.float]" [builtins fixtures/tuple.pyi] [case testTypeVarTypingExtensionsSimpleBound] from typing_extensions import TypeVar T= TypeVar("T") def func(var: T) -> T: return var reveal_type(func(1)) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testGenericLambdaGenericMethodNoCrash] from typing import TypeVar, Union, Callable, Generic S = TypeVar("S") T = TypeVar("T") def f(x: Callable[[G[T]], int]) -> T: ... class G(Generic[T]): def g(self, x: S) -> Union[S, T]: ... reveal_type(f(lambda x: x.g(0))) # N: Revealed type is "builtins.int" [case testDictStarInference] class B: ... class C1(B): ... class C2(B): ... dict1 = {"a": C1()} dict2 = {"a": C2(), **dict1} reveal_type(dict2) # N: Revealed type is "builtins.dict[builtins.str, __main__.B]" [builtins fixtures/dict.pyi] [case testDictStarAnyKeyJoinValue] from typing import Any class B: ... class C1(B): ... class C2(B): ... dict1: Any dict2 = {"a": C1(), **{x: C2() for x in dict1}} reveal_type(dict2) # N: Revealed type is "builtins.dict[Any, __main__.B]" [builtins fixtures/dict.pyi] -- Type inference for generic decorators applied to generic callables -- ------------------------------------------------------------------ [case testInferenceAgainstGenericCallable] from typing import TypeVar, Callable, List X = TypeVar('X') T = TypeVar('T') def foo(x: Callable[[int], X]) -> List[X]: ... def bar(x: Callable[[X], int]) -> List[X]: ... def id(x: T) -> T: ... reveal_type(foo(id)) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(bar(id)) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableNoLeak] from typing import TypeVar, Callable T = TypeVar('T') def f(x: Callable[..., T]) -> T: return x() def tpl(x: T) -> T: return x # This is valid because of "..." reveal_type(f(tpl)) # N: Revealed type is "Any" [out] [case testInferenceAgainstGenericCallableChain] from typing import TypeVar, Callable, List X = TypeVar('X') T = TypeVar('T') def chain(f: Callable[[X], T], g: Callable[[T], int]) -> Callable[[X], int]: ... def id(x: T) -> T: ... reveal_type(chain(id, id)) # N: Revealed type is "def (builtins.int) -> builtins.int" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableGeneric] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') def dec(f: Callable[[S], T]) -> Callable[[S], List[T]]: ... def id(x: U) -> U: ... reveal_type(dec(id)) # N: Revealed type is "def [S] (S`1) -> builtins.list[S`1]" @dec def same(x: U) -> U: ... reveal_type(same) # N: Revealed type is "def [S] (S`3) -> builtins.list[S`3]" reveal_type(same(42)) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableGenericReverse] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') def dec(f: Callable[[S], List[T]]) -> Callable[[S], T]: ... def id(x: U) -> U: ... reveal_type(dec(id)) # N: Revealed type is "def [T] (builtins.list[T`2]) -> T`2" @dec def same(x: U) -> U: ... reveal_type(same) # N: Revealed type is "def [T] (builtins.list[T`4]) -> T`4" reveal_type(same([42])) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableGenericArg] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') def dec(f: Callable[[S], T]) -> Callable[[S], T]: ... def test(x: U) -> List[U]: ... reveal_type(dec(test)) # N: Revealed type is "def [S] (S`1) -> builtins.list[S`1]" @dec def single(x: U) -> List[U]: ... reveal_type(single) # N: Revealed type is "def [S] (S`3) -> builtins.list[S`3]" reveal_type(single(42)) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableGenericChain] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') def comb(f: Callable[[T], S], g: Callable[[S], U]) -> Callable[[T], U]: ... def id(x: U) -> U: ... reveal_type(comb(id, id)) # N: Revealed type is "def [T] (T`1) -> T`1" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableGenericNonLinear] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') def mix(fs: List[Callable[[S], T]]) -> Callable[[S], List[T]]: def inner(x: S) -> List[T]: return [f(x) for f in fs] return inner # Errors caused by arg *name* mismatch are truly cryptic, but this is a known issue :/ def id(__x: U) -> U: ... fs = [id, id, id] reveal_type(mix(fs)) # N: Revealed type is "def [S] (S`2) -> builtins.list[S`2]" reveal_type(mix([id, id, id])) # N: Revealed type is "def [S] (S`4) -> builtins.list[S`4]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCurry] from typing import Callable, List, TypeVar S = TypeVar("S") T = TypeVar("T") U = TypeVar("U") V = TypeVar("V") def dec1(f: Callable[[T], S]) -> Callable[[], Callable[[T], S]]: ... def dec2(f: Callable[[T, U], S]) -> Callable[[U], Callable[[T], S]]: ... def test1(x: V) -> V: ... def test2(x: V, y: V) -> V: ... reveal_type(dec1(test1)) # N: Revealed type is "def () -> def [T] (T`1) -> T`1" reveal_type(dec2(test2)) # N: Revealed type is "def [T] (T`3) -> def (T`3) -> T`3" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableNewVariable] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') def dec(f: Callable[[S], T]) -> Callable[[S], T]: ... def test(x: List[U]) -> List[U]: ... reveal_type(dec(test)) # N: Revealed type is "def [U] (builtins.list[U`-1]) -> builtins.list[U`-1]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableGenericAlias] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') A = Callable[[S], T] B = Callable[[S], List[T]] def dec(f: A[S, T]) -> B[S, T]: ... def id(x: U) -> U: ... reveal_type(dec(id)) # N: Revealed type is "def [S] (S`1) -> builtins.list[S`1]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableGenericProtocol] from typing import TypeVar, Protocol, Generic, Optional T = TypeVar('T') class F(Protocol[T]): def __call__(self, __x: T) -> T: ... def lift(f: F[T]) -> F[Optional[T]]: ... def g(x: T) -> T: return x reveal_type(lift(g)) # N: Revealed type is "def [T] (Union[T`1, None]) -> Union[T`1, None]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericSplitOrder] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') def dec(f: Callable[[T], S], g: Callable[[T], int]) -> Callable[[T], List[S]]: ... def id(x: U) -> U: ... reveal_type(dec(id, id)) # N: Revealed type is "def (builtins.int) -> builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericSplitOrderGeneric] from typing import TypeVar, Callable, Tuple S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') V = TypeVar('V') def dec(f: Callable[[T], S], g: Callable[[T], U]) -> Callable[[T], Tuple[S, U]]: ... def id(x: V) -> V: ... reveal_type(dec(id, id)) # N: Revealed type is "def [T] (T`1) -> tuple[T`1, T`1]" [builtins fixtures/tuple.pyi] [case testInferenceAgainstGenericSecondary] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') U = TypeVar('U') def dec(f: Callable[[List[T]], List[int]]) -> Callable[[T], T]: ... @dec def id(x: U) -> U: ... reveal_type(id) # N: Revealed type is "def (builtins.int) -> builtins.int" [builtins fixtures/tuple.pyi] [case testInferenceAgainstGenericEllipsisSelfSpecialCase] from typing import Self, Callable, TypeVar T = TypeVar("T") def dec(f: Callable[..., T]) -> Callable[..., T]: ... class C: @dec def test(self) -> Self: ... c: C reveal_type(c.test()) # N: Revealed type is "__main__.C" [case testInferenceAgainstGenericBoundsAndValues] from typing import TypeVar, Callable, List class B: ... class C(B): ... S = TypeVar('S') T = TypeVar('T') UB = TypeVar('UB', bound=B) UC = TypeVar('UC', bound=C) V = TypeVar('V', int, str) def dec1(f: Callable[[S], T]) -> Callable[[S], List[T]]: ... def dec2(f: Callable[[UC], T]) -> Callable[[UC], List[T]]: ... def id1(x: UB) -> UB: ... def id2(x: V) -> V: ... reveal_type(dec1(id1)) # N: Revealed type is "def [S <: __main__.B] (S`1) -> builtins.list[S`1]" reveal_type(dec1(id2)) # N: Revealed type is "def [S in (builtins.int, builtins.str)] (S`3) -> builtins.list[S`3]" reveal_type(dec2(id1)) # N: Revealed type is "def [UC <: __main__.C] (UC`5) -> builtins.list[UC`5]" reveal_type(dec2(id2)) # N: Revealed type is "def (Never) -> builtins.list[Never]" \ # E: Argument 1 to "dec2" has incompatible type "Callable[[V], V]"; expected "Callable[[Never], Never]" [case testInferenceAgainstGenericLambdas] from typing import TypeVar, Callable, List S = TypeVar('S') T = TypeVar('T') def dec1(f: Callable[[T], T]) -> Callable[[T], List[T]]: ... def dec2(f: Callable[[S], T]) -> Callable[[S], List[T]]: ... def dec3(f: Callable[[List[S]], T]) -> Callable[[S], T]: def g(x: S) -> T: return f([x]) return g def dec4(f: Callable[[S], List[T]]) -> Callable[[S], T]: ... def dec5(f: Callable[[int], T]) -> Callable[[int], List[T]]: def g(x: int) -> List[T]: return [f(x)] * x return g I = TypeVar("I", bound=int) def dec4_bound(f: Callable[[I], List[T]]) -> Callable[[I], T]: ... reveal_type(dec1(lambda x: x)) # N: Revealed type is "def [T] (T`3) -> builtins.list[T`3]" reveal_type(dec2(lambda x: x)) # N: Revealed type is "def [S] (S`5) -> builtins.list[S`5]" reveal_type(dec3(lambda x: x[0])) # N: Revealed type is "def [S] (S`8) -> S`8" reveal_type(dec4(lambda x: [x])) # N: Revealed type is "def [S] (S`11) -> S`11" reveal_type(dec1(lambda x: 1)) # N: Revealed type is "def (builtins.int) -> builtins.list[builtins.int]" reveal_type(dec5(lambda x: x)) # N: Revealed type is "def (builtins.int) -> builtins.list[builtins.int]" reveal_type(dec3(lambda x: x)) # N: Revealed type is "def [S] (S`19) -> builtins.list[S`19]" reveal_type(dec4(lambda x: x)) # N: Revealed type is "def [T] (builtins.list[T`23]) -> T`23" dec4_bound(lambda x: x) # E: Value of type variable "I" of "dec4_bound" cannot be "list[T]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericParamSpecBasicInList] from typing import TypeVar, Callable, List, Tuple from typing_extensions import ParamSpec T = TypeVar('T') P = ParamSpec('P') U = TypeVar('U') V = TypeVar('V') def dec(f: Callable[P, T]) -> Callable[P, List[T]]: ... def id(x: U) -> U: ... def either(x: U, y: U) -> U: ... def pair(x: U, y: V) -> Tuple[U, V]: ... reveal_type(dec(id)) # N: Revealed type is "def [T] (x: T`3) -> builtins.list[T`3]" reveal_type(dec(either)) # N: Revealed type is "def [T] (x: T`5, y: T`5) -> builtins.list[T`5]" reveal_type(dec(pair)) # N: Revealed type is "def [U, V] (x: U`-1, y: V`-2) -> builtins.list[tuple[U`-1, V`-2]]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericParamSpecBasicDeList] from typing import TypeVar, Callable, List, Tuple from typing_extensions import ParamSpec T = TypeVar('T') P = ParamSpec('P') U = TypeVar('U') V = TypeVar('V') def dec(f: Callable[P, List[T]]) -> Callable[P, T]: ... def id(x: U) -> U: ... def either(x: U, y: U) -> U: ... reveal_type(dec(id)) # N: Revealed type is "def [T] (x: builtins.list[T`3]) -> T`3" reveal_type(dec(either)) # N: Revealed type is "def [T] (x: builtins.list[T`5], y: builtins.list[T`5]) -> T`5" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericParamSpecPopOff] from typing import TypeVar, Callable, List, Tuple from typing_extensions import ParamSpec, Concatenate T = TypeVar('T') S = TypeVar('S') P = ParamSpec('P') U = TypeVar('U') V = TypeVar('V') def dec(f: Callable[Concatenate[T, P], S]) -> Callable[P, Callable[[T], S]]: ... def id(x: U) -> U: ... def either(x: U, y: U) -> U: ... def pair(x: U, y: V) -> Tuple[U, V]: ... reveal_type(dec(id)) # N: Revealed type is "def () -> def [T] (T`2) -> T`2" reveal_type(dec(either)) # N: Revealed type is "def [T] (y: T`5) -> def (T`5) -> T`5" reveal_type(dec(pair)) # N: Revealed type is "def [V] (y: V`-2) -> def [T] (T`8) -> tuple[T`8, V`-2]" reveal_type(dec(dec)) # N: Revealed type is "def () -> def [T, P, S] (def (T`-1, *P.args, **P.kwargs) -> S`-3) -> def (*P.args, **P.kwargs) -> def (T`-1) -> S`-3" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericParamSpecPopOn] from typing import TypeVar, Callable, List, Tuple from typing_extensions import ParamSpec, Concatenate T = TypeVar('T') S = TypeVar('S') P = ParamSpec('P') U = TypeVar('U') V = TypeVar('V') def dec(f: Callable[P, Callable[[T], S]]) -> Callable[Concatenate[T, P], S]: ... def id() -> Callable[[U], U]: ... def either(x: U) -> Callable[[U], U]: ... def pair(x: U) -> Callable[[V], Tuple[V, U]]: ... reveal_type(dec(id)) # N: Revealed type is "def [T] (T`3) -> T`3" reveal_type(dec(either)) # N: Revealed type is "def [T] (T`6, x: T`6) -> T`6" reveal_type(dec(pair)) # N: Revealed type is "def [T, U] (T`9, x: U`-1) -> tuple[T`9, U`-1]" # This is counter-intuitive but looks correct, dec matches itself only if P can be empty reveal_type(dec(dec)) # N: Revealed type is "def [T, S] (T`13, f: def () -> def (T`13) -> S`14) -> S`14" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericParamSpecVsParamSpec] from typing import TypeVar, Callable, List, Tuple, Generic from typing_extensions import ParamSpec, Concatenate T = TypeVar('T') P = ParamSpec('P') Q = ParamSpec('Q') class Foo(Generic[P]): ... class Bar(Generic[P, T]): ... def dec(f: Callable[P, T]) -> Callable[P, List[T]]: ... def f(*args: Q.args, **kwargs: Q.kwargs) -> Foo[Q]: ... reveal_type(dec(f)) # N: Revealed type is "def [P] (*P.args, **P.kwargs) -> builtins.list[__main__.Foo[P`2]]" g: Callable[Concatenate[int, Q], Foo[Q]] reveal_type(dec(g)) # N: Revealed type is "def [Q] (builtins.int, *Q.args, **Q.kwargs) -> builtins.list[__main__.Foo[Q`-1]]" h: Callable[Concatenate[T, Q], Bar[Q, T]] reveal_type(dec(h)) # N: Revealed type is "def [T, Q] (T`-1, *Q.args, **Q.kwargs) -> builtins.list[__main__.Bar[Q`-2, T`-1]]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericParamSpecVsParamSpecConcatenate] from typing import TypeVar, Callable, List, Tuple, Generic from typing_extensions import ParamSpec, Concatenate T = TypeVar('T') P = ParamSpec('P') Q = ParamSpec('Q') class Foo(Generic[P]): ... def dec(f: Callable[P, int]) -> Callable[P, Foo[P]]: ... h: Callable[Concatenate[T, Q], int] g: Callable[Concatenate[T, Q], int] h = g reveal_type(dec(h)) # N: Revealed type is "def [T, Q] (T`-1, *Q.args, **Q.kwargs) -> __main__.Foo[[T`-1, **Q`-2]]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericParamSpecSecondary] from typing import TypeVar, Callable, List, Tuple, Generic from typing_extensions import ParamSpec, Concatenate T = TypeVar('T') P = ParamSpec('P') Q = ParamSpec('Q') class Foo(Generic[P]): ... def dec(f: Callable[P, Foo[P]]) -> Callable[P, Foo[P]]: ... g: Callable[[T], Foo[[int]]] reveal_type(dec(g)) # N: Revealed type is "def (builtins.int) -> __main__.Foo[[builtins.int]]" h: Callable[Q, Foo[[int]]] reveal_type(dec(g)) # N: Revealed type is "def (builtins.int) -> __main__.Foo[[builtins.int]]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericParamSpecSecondOrder] from typing import TypeVar, Callable from typing_extensions import ParamSpec, Concatenate T = TypeVar('T') S = TypeVar('S') P = ParamSpec('P') Q = ParamSpec('Q') U = TypeVar('U') W = ParamSpec('W') def transform( dec: Callable[[Callable[P, T]], Callable[Q, S]] ) -> Callable[[Callable[Concatenate[int, P], T]], Callable[Concatenate[int, Q], S]]: ... def dec(f: Callable[W, U]) -> Callable[W, U]: ... def dec2(f: Callable[Concatenate[str, W], U]) -> Callable[Concatenate[bytes, W], U]: ... reveal_type(transform(dec)) # N: Revealed type is "def [P, T] (def (builtins.int, *P.args, **P.kwargs) -> T`3) -> def (builtins.int, *P.args, **P.kwargs) -> T`3" reveal_type(transform(dec2)) # N: Revealed type is "def [W, T] (def (builtins.int, builtins.str, *W.args, **W.kwargs) -> T`7) -> def (builtins.int, builtins.bytes, *W.args, **W.kwargs) -> T`7" [builtins fixtures/tuple.pyi] [case testNoAccidentalVariableClashInNestedGeneric] from typing import TypeVar, Callable, Generic, Tuple T = TypeVar('T') S = TypeVar('S') U = TypeVar('U') def pipe(x: T, f1: Callable[[T], S], f2: Callable[[S], U]) -> U: ... def and_then(a: T) -> Callable[[S], Tuple[S, T]]: ... def apply(a: S, b: T) -> None: v1 = and_then(b) v2: Callable[[Tuple[S, T]], None] return pipe(a, v1, v2) [builtins fixtures/tuple.pyi] [case testInferenceAgainstGenericParamSpecSpuriousBoundsNotUsed] from typing import TypeVar, Callable, Generic from typing_extensions import ParamSpec, Concatenate Q = ParamSpec("Q") class Foo(Generic[Q]): ... T1 = TypeVar("T1", bound=Foo[...]) T2 = TypeVar("T2", bound=Foo[...]) P = ParamSpec("P") def pop_off(fn: Callable[Concatenate[T1, P], T2]) -> Callable[P, Callable[[T1], T2]]: ... @pop_off def test(command: Foo[Q]) -> Foo[Q]: ... reveal_type(test) # N: Revealed type is "def () -> def [Q] (__main__.Foo[Q`-1]) -> __main__.Foo[Q`-1]" [builtins fixtures/tuple.pyi] [case testInferenceAgainstGenericVariadicBasicInList] from typing import Tuple, TypeVar, List, Callable from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") def dec(f: Callable[[Unpack[Ts]], T]) -> Callable[[Unpack[Ts]], List[T]]: ... U = TypeVar("U") V = TypeVar("V") def id(x: U) -> U: ... def either(x: U, y: U) -> U: ... def pair(x: U, y: V) -> Tuple[U, V]: ... reveal_type(dec(id)) # N: Revealed type is "def [T] (T`3) -> builtins.list[T`3]" reveal_type(dec(either)) # N: Revealed type is "def [T] (T`5, T`5) -> builtins.list[T`5]" reveal_type(dec(pair)) # N: Revealed type is "def [U, V] (U`-1, V`-2) -> builtins.list[tuple[U`-1, V`-2]]" [builtins fixtures/tuple.pyi] [case testInferenceAgainstGenericVariadicBasicDeList] from typing import Tuple, TypeVar, List, Callable from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") def dec(f: Callable[[Unpack[Ts]], List[T]]) -> Callable[[Unpack[Ts]], T]: ... U = TypeVar("U") V = TypeVar("V") def id(x: U) -> U: ... def either(x: U, y: U) -> U: ... reveal_type(dec(id)) # N: Revealed type is "def [T] (builtins.list[T`3]) -> T`3" reveal_type(dec(either)) # N: Revealed type is "def [T] (builtins.list[T`5], builtins.list[T`5]) -> T`5" [builtins fixtures/tuple.pyi] [case testInferenceAgainstGenericVariadicPopOff] from typing import TypeVar, Callable, List, Tuple from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") def dec(f: Callable[[T, Unpack[Ts]], S]) -> Callable[[Unpack[Ts]], Callable[[T], S]]: ... U = TypeVar("U") V = TypeVar("V") def id(x: U) -> U: ... def either(x: U, y: U) -> U: ... def pair(x: U, y: V) -> Tuple[U, V]: ... reveal_type(dec(id)) # N: Revealed type is "def () -> def [T] (T`2) -> T`2" reveal_type(dec(either)) # N: Revealed type is "def [T] (T`5) -> def (T`5) -> T`5" reveal_type(dec(pair)) # N: Revealed type is "def [V] (V`-2) -> def [T] (T`8) -> tuple[T`8, V`-2]" reveal_type(dec(dec)) # N: Revealed type is "def () -> def [T, Ts, S] (def (T`-1, *Unpack[Ts`-2]) -> S`-3) -> def (*Unpack[Ts`-2]) -> def (T`-1) -> S`-3" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericVariadicPopOn] from typing import TypeVar, Callable, List, Tuple from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") def dec(f: Callable[[Unpack[Ts]], Callable[[T], S]]) -> Callable[[T, Unpack[Ts]], S]: ... U = TypeVar("U") V = TypeVar("V") def id() -> Callable[[U], U]: ... def either(x: U) -> Callable[[U], U]: ... def pair(x: U) -> Callable[[V], Tuple[V, U]]: ... reveal_type(dec(id)) # N: Revealed type is "def [T] (T`3) -> T`3" reveal_type(dec(either)) # N: Revealed type is "def [T] (T`6, T`6) -> T`6" reveal_type(dec(pair)) # N: Revealed type is "def [T, U] (T`9, U`-1) -> tuple[T`9, U`-1]" # This is counter-intuitive but looks correct, dec matches itself only if Ts is empty reveal_type(dec(dec)) # N: Revealed type is "def [T, S] (T`13, def () -> def (T`13) -> S`14) -> S`14" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericVariadicVsVariadic] from typing import TypeVar, Callable, List, Generic from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") Us = TypeVarTuple("Us") class Foo(Generic[Unpack[Ts]]): ... class Bar(Generic[Unpack[Ts], T]): ... def dec(f: Callable[[Unpack[Ts]], T]) -> Callable[[Unpack[Ts]], List[T]]: ... def f(*args: Unpack[Us]) -> Foo[Unpack[Us]]: ... reveal_type(dec(f)) # N: Revealed type is "def [Ts] (*Unpack[Ts`2]) -> builtins.list[__main__.Foo[Unpack[Ts`2]]]" g: Callable[[Unpack[Us]], Foo[Unpack[Us]]] reveal_type(dec(g)) # N: Revealed type is "def [Ts] (*Unpack[Ts`4]) -> builtins.list[__main__.Foo[Unpack[Ts`4]]]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericVariadicVsVariadicConcatenate] from typing import TypeVar, Callable, Generic from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") Us = TypeVarTuple("Us") class Foo(Generic[Unpack[Ts]]): ... def dec(f: Callable[[Unpack[Ts]], int]) -> Callable[[Unpack[Ts]], Foo[Unpack[Ts]]]: ... h: Callable[[T, Unpack[Us]], int] g: Callable[[T, Unpack[Us]], int] h = g reveal_type(dec(h)) # N: Revealed type is "def [T, Us] (T`-1, *Unpack[Us`-2]) -> __main__.Foo[T`-1, Unpack[Us`-2]]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericVariadicSecondary] from typing import TypeVar, Callable, Generic from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") Us = TypeVarTuple("Us") class Foo(Generic[Unpack[Ts]]): ... def dec(f: Callable[[Unpack[Ts]], Foo[Unpack[Ts]]]) -> Callable[[Unpack[Ts]], Foo[Unpack[Ts]]]: ... g: Callable[[T], Foo[int]] reveal_type(dec(g)) # N: Revealed type is "def (builtins.int) -> __main__.Foo[builtins.int]" h: Callable[[Unpack[Us]], Foo[int]] reveal_type(dec(h)) # N: Revealed type is "def (builtins.int) -> __main__.Foo[builtins.int]" [builtins fixtures/list.pyi] [case testTypeApplicationGenericConstructor] from typing import Generic, TypeVar, Callable T = TypeVar("T") S = TypeVar("S") class C(Generic[T]): def __init__(self, f: Callable[[S], T], x: S) -> None: self.x = f(x) reveal_type(C[int]) # N: Revealed type is "def [S] (f: def (S`-1) -> builtins.int, x: S`-1) -> __main__.C[builtins.int]" Alias = C[int] C[int, str] # E: Type application has too many types (1 expected) [case testHigherOrderGenericPartial] from typing import TypeVar, Callable T = TypeVar("T") S = TypeVar("S") U = TypeVar("U") def apply(f: Callable[[T], S], x: T) -> S: ... def id(x: U) -> U: ... A1 = TypeVar("A1") A2 = TypeVar("A2") R = TypeVar("R") def fake_partial(fun: Callable[[A1, A2], R], arg: A1) -> Callable[[A2], R]: ... f_pid = fake_partial(apply, id) reveal_type(f_pid) # N: Revealed type is "def [A2] (A2`2) -> A2`2" reveal_type(f_pid(1)) # N: Revealed type is "builtins.int" [case testInvalidTypeVarParametersConcrete] from typing import Callable, Generic, ParamSpec, Protocol, TypeVar, overload P = ParamSpec('P') P2 = ParamSpec('P2') R = TypeVar('R') R2 = TypeVar('R2') class C(Generic[P, R, P2, R2]): ... class Proto(Protocol[P, R]): @overload def __call__(self, f: Callable[P2, R2]) -> C[P2, R2, ..., R]: ... @overload def __call__(self, **kwargs) -> C[P, R, ..., [int, str]]: ... # E: Cannot use "[int, str]" for regular type variable, only for ParamSpec [builtins fixtures/tuple.pyi] [case testInvalidTypeVarParametersArbitrary] from typing import Callable, Generic, ParamSpec, Protocol, TypeVar, overload P = ParamSpec('P') P2 = ParamSpec('P2') R = TypeVar('R') R2 = TypeVar('R2') class C(Generic[P, R, P2, R2]): ... class Proto(Protocol[P, R]): @overload def __call__(self, f: Callable[P2, R2]) -> C[P2, R2, ..., R]: ... @overload def __call__(self, **kwargs) -> C[P, R, ..., ...]: ... # E: Cannot use "[VarArg(Any), KwArg(Any)]" for regular type variable, only for ParamSpec [builtins fixtures/tuple.pyi] [case testGenericOverloadOverlapUnion] from typing import TypeVar, overload, Union, Generic K = TypeVar("K") V = TypeVar("V") T = TypeVar("T") class C(Generic[K, V]): @overload def pop(self, key: K) -> V: ... @overload def pop(self, key: K, default: Union[V, T] = ...) -> Union[V, T]: ... def pop(self, key: K, default: Union[V, T] = ...) -> Union[V, T]: ... [case testOverloadedGenericInit] from typing import TypeVar, overload, Union, Generic T = TypeVar("T") S = TypeVar("S") class Int(Generic[T]): ... class Str(Generic[T]): ... class C(Generic[T]): @overload def __init__(self: C[Int[S]], x: int, y: S) -> None: ... @overload def __init__(self: C[Str[S]], x: str, y: S) -> None: ... def __init__(self, x, y) -> None: ... def foo(x: T): reveal_type(C) # N: Revealed type is "Overload(def [T, S] (x: builtins.int, y: S`-1) -> __main__.C[__main__.Int[S`-1]], def [T, S] (x: builtins.str, y: S`-1) -> __main__.C[__main__.Str[S`-1]])" reveal_type(C(0, x)) # N: Revealed type is "__main__.C[__main__.Int[T`-1]]" reveal_type(C("yes", x)) # N: Revealed type is "__main__.C[__main__.Str[T`-1]]" [case testInstanceMethodBoundOnClass] from typing import TypeVar, Generic T = TypeVar("T") class B(Generic[T]): def foo(self) -> T: ... class C(B[T]): ... class D(C[int]): ... reveal_type(B.foo) # N: Revealed type is "def [T] (self: __main__.B[T`1]) -> T`1" reveal_type(B[int].foo) # N: Revealed type is "def (self: __main__.B[builtins.int]) -> builtins.int" reveal_type(C.foo) # N: Revealed type is "def [T] (self: __main__.B[T`1]) -> T`1" reveal_type(C[int].foo) # N: Revealed type is "def (self: __main__.B[builtins.int]) -> builtins.int" reveal_type(D.foo) # N: Revealed type is "def (self: __main__.B[builtins.int]) -> builtins.int" [case testDeterminismFromJoinOrderingInSolver] # Used to fail non-deterministically # https://github.com/python/mypy/issues/19121 from __future__ import annotations from typing import Generic, Iterable, Iterator, Self, TypeVar _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _T3 = TypeVar("_T3") _T_co = TypeVar("_T_co", covariant=True) class Base(Iterable[_T1]): def __iter__(self) -> Iterator[_T1]: ... class A(Base[_T1]): ... class B(Base[_T1]): ... class C(Base[_T1]): ... class D(Base[_T1]): ... class E(Base[_T1]): ... class zip2(Generic[_T_co]): def __new__( cls, iter1: Iterable[_T1], iter2: Iterable[_T2], iter3: Iterable[_T3], ) -> zip2[tuple[_T1, _T2, _T3]]: ... def __iter__(self) -> Self: ... def __next__(self) -> _T_co: ... def draw( colors1: A[str] | B[str] | C[int] | D[int | str], colors2: A[str] | B[str] | C[int] | D[int | str], colors3: A[str] | B[str] | C[int] | D[int | str], ) -> None: for c1, c2, c3 in zip2(colors1, colors2, colors3): reveal_type(c1) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(c2) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(c3) # N: Revealed type is "Union[builtins.int, builtins.str]" def takes_int_str_none(x: int | str | None) -> None: ... def draw_none( colors1: A[str] | B[str] | C[int] | D[None], colors2: A[str] | B[str] | C[int] | D[None], colors3: A[str] | B[str] | C[int] | D[None], ) -> None: for c1, c2, c3 in zip2(colors1, colors2, colors3): # TODO: can't do reveal type because the union order is not deterministic takes_int_str_none(c1) takes_int_str_none(c2) takes_int_str_none(c3) [builtins fixtures/tuple.pyi] [case testPropertyWithGenericSetter] from typing import TypeVar class B: ... class C(B): ... T = TypeVar("T", bound=B) class Test: @property def foo(self) -> list[C]: ... @foo.setter def foo(self, val: list[T]) -> None: ... t1: Test t2: Test lb: list[B] lc: list[C] li: list[int] t1.foo = lb t1.foo = lc t1.foo = li # E: Value of type variable "T" of "foo" of "Test" cannot be "int" t2.foo = [B()] t2.foo = [C()] t2.foo = [1] # E: Value of type variable "T" of "foo" of "Test" cannot be "int" [builtins fixtures/property.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-ignore.test0000644000175100017510000001460215112307767020366 0ustar00runnerrunner[case testIgnoreTypeError] x = 1 x() # type: ignore x() # E: "int" not callable [case testIgnoreUndefinedName] x = 1 y # type: ignore z # E: Name "z" is not defined [case testIgnoreImportError] import xyz_m # type: ignore xyz_m.foo 1() # E: "int" not callable [case testIgnoreImportFromError] from xyz_m import a, b # type: ignore a.foo b() 1() # E: "int" not callable [case testIgnoreImportFromErrorMultiline] from xyz_m import ( # type: ignore a, b ) a.foo b() 1() # E: "int" not callable [case testIgnoreImportAllError] from xyz_m import * # type: ignore x # E: Name "x" is not defined 1() # E: "int" not callable [case testIgnoreImportBadModule] import m # type: ignore from m import a # type: ignore [file m.py] + [out] tmp/m.py:1: error: Invalid syntax [case testIgnoreAppliesOnlyToMissing] import a # type: ignore import b # type: ignore reveal_type(a.foo) # N: Revealed type is "Any" reveal_type(b.foo) # N: Revealed type is "builtins.int" a.bar() b.bar() # E: Module has no attribute "bar" [file b.py] foo = 3 [builtins fixtures/module_all.pyi] [out] [case testIgnoreImportStarFromBadModule] from m import * # type: ignore [file m.py] + [out] tmp/m.py:1: error: Invalid syntax [case testIgnoreAssignmentTypeError] x = 1 if int(): x = '' # type: ignore if int(): x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testIgnoreInvalidOverride] class A: def f(self) -> int: pass class B(A): def f(self) -> str: pass # type: ignore [case testIgnoreMissingModuleAttribute] import m m.x = object # type: ignore m.f() # type: ignore m.y # E: Module has no attribute "y" [file m.py] [builtins fixtures/module.pyi] [case testIgnoreTypeInferenceError] x = [] # type: ignore y = x x.append(1) [builtins fixtures/list.pyi] [case testIgnoreTypeInferenceError2] def f() -> None: pass x = f() # type: ignore y = x x = 1 [builtins fixtures/list.pyi] [case testIgnoreTypeInferenceErrorAndMultipleAssignment] x, y = [], [] # type: ignore z = x z = y [builtins fixtures/list.pyi] [case testIgnoreSomeStarImportErrors] from m1 import * from m2 import * # type: ignore # We should still import things that don't conflict. y() # E: "str" not callable z() # E: "int" not callable x() # E: "int" not callable [file m1.py] x = 1 y = '' [file m2.py] x = '' z = 1 [case testIgnoredModuleDefinesBaseClass1] from m import B # type: ignore class C(B): def f(self) -> None: self.f(1) # E: Too many arguments for "f" of "C" self.g(1) [out] [case testIgnoredModuleDefinesBaseClass2] import m # type: ignore class C(m.B): def f(self) -> None: ... c = C() c.f(1) # E: Too many arguments for "f" of "C" c.g(1) c.x = 1 [out] [case testIgnoredModuleDefinesBaseClassAndClassAttribute] import m # type: ignore class C(m.B): @staticmethod def f() -> None: pass C.f(1) # E: Too many arguments for "f" of "C" C.g(1) C.x = 1 [builtins fixtures/staticmethod.pyi] [out] [case testIgnoredModuleDefinesBaseClassWithInheritance1] from m import B # type: ignore class C: pass class D(C, B): def f(self) -> None: self.f(1) # E: Too many arguments for "f" of "D" self.g(1) [out] [case testIgnoredModuleDefinesBaseClassWithInheritance2] from m import B # type: ignore class C(B): pass class D(C): def f(self) -> None: self.f(1) # E: Too many arguments for "f" of "D" self.g(1) [out] [case testIgnoreWithFollowingIndentedComment] if 1: # type: ignore # blah pass [out] [case testIgnoreTooManyTypeArguments] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class Base(Generic[T, U]): pass class PartialBase(Base[T, int], Generic[T]): pass class Child(PartialBase[str, int]): # type: ignore pass def foo(x: Base[str, int]) -> None: pass foo(Child()) def bar(x: Base[str, str]) -> None: pass bar(Child()) [out] main:19: error: Argument 1 to "bar" has incompatible type "Child"; expected "Base[str, str]" [case testTypeIgnoreLineNumberWithinFile] import m pass # type: ignore m.f(kw=1) [file m.py] pass def f() -> None: pass [out] main:3: error: Unexpected keyword argument "kw" for "f" tmp/m.py:2: note: "f" defined here [case testIgnoreUnexpectedKeywordArgument] import m m.f(kw=1) # type: ignore [file m.py] def f() -> None: pass [out] [case testCannotIgnoreBlockingError] yield # type: ignore # E: "yield" outside function [case testIgnoreWholeModule1] # type: ignore if True: IGNORE [case testIgnoreWholeModule2] # type: ignore @d class C: ... IGNORE [case testIgnoreWholeModule3] # type: ignore @d def f(): ... IGNORE [case testIgnoreWholeModule4] # type: ignore import MISSING [case testDontIgnoreWholeModule1] if True: # type: ignore ERROR # E: Name "ERROR" is not defined ERROR # E: Name "ERROR" is not defined [case testDontIgnoreWholeModule2] @d # type: ignore class C: ... ERROR # E: Name "ERROR" is not defined [case testDontIgnoreWholeModule3] @d # type: ignore def f(): ... ERROR # E: Name "ERROR" is not defined [case testIgnoreInsideFunctionDoesntAffectWhole] # flags: --disallow-untyped-defs def f(): # E: Function is missing a return type annotation 42 + 'no way' # type: ignore return 0 [case testIgnoreInsideClassDoesntAffectWhole] import six class M(type): pass @six.add_metaclass(M) class CD(six.with_metaclass(M)): # E: Multiple metaclass definitions 42 + 'no way' # type: ignore [builtins fixtures/tuple.pyi] [case testUnusedIgnoreCodeOrder] # flags: --warn-unused-ignores 5 # type: ignore[import, steven] # E: Unused "type: ignore[import, steven]" comment -- User ordering of codes is preserved 5 # type: ignore[steven, import] # E: Unused "type: ignore[steven, import]" comment -- Spacing is not preserved 5 # type: ignore[ steven, import ] # E: Unused "type: ignore[steven, import]" comment -- Make sure it works as intended in more complex situations 1 + "ok" + "ok".foo # type: ignore[ operator,steven,attr-defined, import] # E: Unused "type: ignore[steven, import]" comment [case testUnusedIgnoreTryExcept] # flags: --warn-unused-ignores try: import foo # type: ignore # E: Unused "type: ignore" comment import bar # type: ignore[import] # E: Unused "type: ignore" comment import foobar # type: ignore[unused-ignore] import barfoo # type: ignore[import,unused-ignore] import missing # type: ignore[import,unused-ignore] except Exception: pass [file foo.py] [file bar.py] [file foobar.py] [file barfoo.py] [builtins fixtures/exception.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-incomplete-fixture.test0000644000175100017510000000600415112307767022723 0ustar00runnerrunner-- Test cases for reporting errors when a test case uses a fixture with -- missing definitions. At least in the most common cases this should not -- result in an uncaught exception. These tests make sure that this behavior -- does not regress. -- -- NOTE: These tests do NOT test behavior of mypy outside tests. [case testVariableUndefinedUsingDefaultFixture] import m # This used to cause a crash since types.ModuleType is not available # by default. We fall back to 'object' now. m.x # E: "object" has no attribute "x" [file m.py] [case testSetMissingFromStubs] from typing import Set def f(x: Set[int]) -> None: pass [out] main:1: error: Module "typing" has no attribute "Set" main:1: note: Maybe your test fixture does not define "builtins.set"? main:1: note: Consider adding [builtins fixtures/set.pyi] to your test description [case testBaseExceptionMissingFromStubs] e: BaseException [out] main:1: error: Name "BaseException" is not defined main:1: note: Maybe your test fixture does not define "builtins.BaseException"? main:1: note: Consider adding [builtins fixtures/exception.pyi] to your test description [case testExceptionMissingFromStubs] e: Exception [out] main:1: error: Name "Exception" is not defined main:1: note: Maybe your test fixture does not define "builtins.Exception"? main:1: note: Consider adding [builtins fixtures/exception.pyi] to your test description [case testIsinstanceMissingFromStubs] if isinstance(1, int): pass [out] main:1: error: Name "isinstance" is not defined main:1: note: Maybe your test fixture does not define "builtins.isinstance"? main:1: note: Consider adding [builtins fixtures/isinstancelist.pyi] to your test description [case testTupleMissingFromStubs1] tuple() [out] main:1: error: Name "tuple" is not defined main:1: note: Maybe your test fixture does not define "builtins.tuple"? main:1: note: Consider adding [builtins fixtures/tuple.pyi] to your test description main:1: note: Did you forget to import it from "typing"? (Suggestion: "from typing import Tuple") [case testTupleMissingFromStubs2] tuple() from typing import Tuple x: Tuple[int, str] [out] main:1: error: Name "tuple" is not defined main:1: note: Maybe your test fixture does not define "builtins.tuple"? main:1: note: Consider adding [builtins fixtures/tuple.pyi] to your test description main:1: note: Did you forget to import it from "typing"? (Suggestion: "from typing import Tuple") main:3: error: Name "tuple" is not defined [case testClassmethodMissingFromStubs] class A: @classmethod def f(cls): pass [out] main:2: error: Name "classmethod" is not defined main:2: note: Maybe your test fixture does not define "builtins.classmethod"? main:2: note: Consider adding [builtins fixtures/classmethod.pyi] to your test description [case testPropertyMissingFromStubs] class A: @property def f(self): pass [out] main:2: error: Name "property" is not defined main:2: note: Maybe your test fixture does not define "builtins.property"? main:2: note: Consider adding [builtins fixtures/property.pyi] to your test description ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-incremental.test0000644000175100017510000045234315112307767021414 0ustar00runnerrunner-- Checks for incremental mode (see testcheck.py). -- Each test is run at least twice, once with a cold cache, once with a warm cache. -- Before the tests are run again, in step N any *.py.N files are copied to -- *.py. There are at least two runs; more as long as there are *.py.N files. -- -- You can add an empty section like `[delete mod.py.2]` to delete `mod.py` -- before the second run. -- -- Errors expected in the first run should be in the `[out1]` section, and -- errors expected in the second run should be in the `[out2]` section, and so on. -- If a section is omitted, it is expected there are no errors on that run. -- The number of runs is determined by the highest N in all [outN] sections, but -- there are always at least two runs. (Note that [out] is equivalent to [out1].) -- -- The list of modules to be checked can be specified using -- # cmd: mypy -m mod1 mod2 mod3 -- To check a different list on the second run, use -- # cmd2: mypy -m mod1 mod3 -- (and cmd3 for the third run, and so on). -- -- Extra command line flags may be specified using -- # flags: --some-flag -- If the second run requires different flags, those can be specified using -- # flags2: --another-flag -- (and flags3 for the third run, and so on). -- -- Incremental tests involving plugins that get updated are also supported. -- All plugin files that are updated *must* end in '_plugin', so they will -- be unloaded from 'sys.modules' between incremental steps. -- -- Any files that we expect to be rechecked should be annotated in the [rechecked] -- annotation, and any files expect to be stale (aka have a modified interface) -- should be annotated in the [stale] annotation. Note that a file that ends up -- producing an error has its caches deleted and is marked stale automatically. -- Such files do not need to be included in [stale ...] list. -- -- The test suite will automatically assume that __main__ is stale and rechecked in -- all cases so we can avoid constantly having to annotate it. The list of -- rechecked/stale files can be in any arbitrary order, or can be left empty -- if no files should be rechecked/stale. -- -- There are additional incremental mode test cases in check-serialize.test. [case testIncrementalEmpty] [rechecked] [stale] [case testIncrementalBasics] import m [file m.py] def foo(): pass [file m.py.2] def foo() -> None: pass [rechecked m] [stale m] [case testIncrementalError] import m [file m.py] def foo() -> None: pass [file m.py.2] def foo() -> None: bar() [rechecked m] [stale] [out2] tmp/m.py:2: error: Name "bar" is not defined [case testIncrementalSimpleImportSequence] import mod1 mod1.func1() [file mod1.py] import mod2 def func1() -> None: mod2.func2() [file mod2.py] import mod3 def func2() -> None: mod3.func3() [file mod3.py] def func3() -> None: pass [rechecked] [stale] [case testIncrementalInternalChangeOnly] import mod1 mod1.func1() [file mod1.py] import mod2 def func1() -> None: mod2.func2() [file mod2.py] import mod3 def func2() -> None: mod3.func3() [file mod3.py] def func3() -> None: pass [file mod3.py.2] def func3() -> None: 3 + 2 [rechecked mod3] [stale] [case testIncrementalImportGone] import mod1 [file mod1.py] from mod2 import A def func1() -> A: pass [file mod2.py] class A: pass [file mod1.py.2] def func1() -> A: pass [rechecked mod1] [stale mod1] [out2] tmp/mod1.py:1: error: Name "A" is not defined [case testIncrementalCallable] import mod1 [file mod1.py] from typing import Callable from mypy_extensions import Arg def func1() -> Callable[[Arg(int, 'x')], int]: pass [file mod1.py.2] from typing import Callable from mypy_extensions import Arg def func1() -> Callable[[Arg(int, 'x')], int]: ... [rechecked mod1] [stale] [builtins fixtures/dict.pyi] [case testIncrementalSameNameChange] import mod1 [file mod1.py] from mod2 import A def func1() -> A: pass [file mod2.py] class A: pass [file mod2.py.2] class Parent: pass class A(Parent): pass [rechecked mod1, mod2] [stale mod2] [case testIncrementalPartialInterfaceChange] import mod1 mod1.func1() [file mod1.py] import mod2 def func1() -> None: mod2.func2() [file mod2.py] import mod3 def func2() -> None: mod3.func3() [file mod3.py] def func3() -> None: pass [file mod3.py.2] def func3() -> int: return 2 [rechecked mod2, mod3] [stale mod3] [case testIncrementalInternalFunctionDefinitionChange] import mod1 [file mod1.py] import mod2 def accepts_int(a: int) -> int: return a accepts_int(mod2.foo()) [file mod2.py] def foo() -> int: def inner() -> int: return 42 return inner() [file mod2.py.2] def foo() -> int: def inner2() -> str: return "foo" return inner2() [rechecked mod2] [stale] [out2] tmp/mod2.py:4: error: Incompatible return value type (got "str", expected "int") [case testIncrementalInternalScramble] import mod1 [file mod1.py] import mod2 mod2.foo() [file mod2.py] def baz() -> int: return 3 def bar() -> int: return baz() def foo() -> int: return bar() [file mod2.py.2] def foo() -> int: return baz() def bar() -> int: return bar() def baz() -> int: return 42 [rechecked mod2] [stale] [case testIncrementalMethodInterfaceChange] import mod1 [file mod1.py] import mod2 [file mod2.py] class Foo: def bar(self, a: str) -> str: return "a" [file mod2.py.2] class Foo: def bar(self, a: float) -> str: return "a" [rechecked mod1, mod2] [stale mod2] [case testIncrementalBaseClassChange] import mod1 [file mod1.py] from mod2 import Child Child().good_method() [file mod2.py] class Good: def good_method(self) -> int: return 1 class Bad: pass class Child(Good): pass [file mod2.py.2] class Good: def good_method(self) -> int: return 1 class Bad: pass class Child(Bad): pass [rechecked mod1, mod2] [stale mod2] [out2] tmp/mod1.py:2: error: "Child" has no attribute "good_method" [case testIncrementalCascadingChange] import mod1 [file mod1.py] from mod2 import A def accepts_int(a: int) -> None: pass accepts_int(A) [file mod2.py] from mod3 import B A = B [file mod3.py] from mod4 import C B = C [file mod4.py] C = 3 [file mod4.py.2] C = "A" [rechecked mod1, mod2, mod3, mod4] [stale mod2, mod3, mod4] [out2] tmp/mod1.py:3: error: Argument 1 to "accepts_int" has incompatible type "str"; expected "int" [case testIncrementalBrokenCascade] import mod1 [file mod1.py] import mod2 def accept_int(a: int) -> int: return a accept_int(mod2.mod3.mod4.const) [file mod2.py] import mod3 [file mod3.py] import mod4 [file mod4.py] const = 3 [file mod3.py.2] # Import to mod4 is gone! [rechecked mod1, mod2, mod3] [stale mod3] [builtins fixtures/module.pyi] [out2] tmp/mod1.py:3: error: Module has no attribute "mod4" [case testIncrementalLongBrokenCascade] import mod1 [file mod1.py] import mod2 def accept_int(a: int) -> int: return a accept_int(mod2.mod3.mod4.mod5.mod6.mod7.const) [file mod2.py] import mod3 [file mod3.py] import mod4 [file mod4.py] import mod5 [file mod5.py] import mod6 [file mod6.py] import mod7 [file mod7.py] const = 3 [file mod6.py.2] # Import to mod7 is gone! [rechecked mod1, mod5, mod6] [stale mod6] [builtins fixtures/module.pyi] [out2] tmp/mod1.py:3: error: Module has no attribute "mod7" [case testIncrementalNestedBrokenCascade] import mod1 [file mod1.py] import mod2 def accept_int(a: int) -> int: return a accept_int(mod2.mod3.mod4.const) [file mod2/__init__.py] import mod2.mod3 as mod3 [file mod2/mod3/__init__.py] import mod2.mod3.mod4 as mod4 [file mod2/mod3/__init__.py.2] # Import is gone! [file mod2/mod3/mod4.py] const = 3 [rechecked mod1, mod2, mod2.mod3] [stale mod2.mod3] [builtins fixtures/module.pyi] [out2] tmp/mod1.py:3: error: Module has no attribute "mod4" [case testIncrementalNestedBrokenCascadeWithType1] import mod1, mod2.mod3.mod5 [file mod1.py] import mod2 def accept_int(x: int) -> None: pass def produce() -> mod2.CustomType: return mod2.CustomType() a = produce() accept_int(a.foo()) [file mod2/__init__.py] from mod2.mod3 import CustomType [file mod2/mod3/__init__.py] from mod2.mod3.mod4 import CustomType [file mod2/mod3/__init__.py.2] # Import a different class that also happens to be called 'CustomType' from mod2.mod3.mod5 import CustomType def produce() -> CustomType: return CustomType() [file mod2/mod3/mod4.py] class CustomType: def foo(self) -> int: return 1 [file mod2/mod3/mod5.py] class CustomType: def foo(self) -> str: return "a" [rechecked mod1, mod2, mod2.mod3] [stale mod1, mod2, mod2.mod3] [builtins fixtures/module.pyi] [out1] [out2] tmp/mod1.py:6: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" [case testIncrementalNestedBrokenCascadeWithType2] import mod1, mod2.mod3.mod5 [file mod1.py] from mod2 import produce def accept_int(x: int) -> None: pass a = produce() accept_int(a.foo()) [file mod2/__init__.py] from mod2.mod3 import produce [file mod2/mod3/__init__.py] from mod2.mod3.mod4 import CustomType def produce() -> CustomType: return CustomType() [file mod2/mod3/__init__.py.2] # Import a different class that also happens to be called 'CustomType' from mod2.mod3.mod5 import CustomType def produce() -> CustomType: return CustomType() [file mod2/mod3/mod4.py] class CustomType: def foo(self) -> int: return 1 [file mod2/mod3/mod5.py] class CustomType: def foo(self) -> str: return "a" [rechecked mod1, mod2, mod2.mod3] [stale mod1, mod2.mod3] [builtins fixtures/module.pyi] [out1] [out2] tmp/mod1.py:4: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" [case testIncrementalRemoteChange] import mod1 [file mod1.py] import mod2 def accepts_int(a: int) -> None: pass accepts_int(mod2.mod3.mod4.const) [file mod2.py] import mod3 [file mod3.py] import mod4 [file mod4.py] const = 3 [file mod4.py.2] const = "foo" [rechecked mod1, mod3, mod4] [stale mod4] [out2] tmp/mod1.py:3: error: Argument 1 to "accepts_int" has incompatible type "str"; expected "int" [case testIncrementalBadChange] import mod1 [file mod1.py] from mod2 import func2 def func1() -> int: return func2() [file mod2.py] def func2() -> int: return 1 [file mod2.py.2] def func2() -> str: return "foo" [rechecked mod1, mod2] [stale mod2] [out2] tmp/mod1.py:4: error: Incompatible return value type (got "str", expected "int") [case testIncrementalBadChangeWithSave] import mod0 [file mod0.py] import mod1 A = mod1.func2() [file mod1.py] from mod2 import func2 def func1() -> int: return func2() [file mod2.py] def func2() -> int: return 1 [file mod2.py.2] def func2() -> str: return "foo" [rechecked mod0, mod1, mod2] [stale mod0, mod2] [out2] tmp/mod1.py:4: error: Incompatible return value type (got "str", expected "int") [case testIncrementalOkChangeWithSave] import mod0 [file mod0.py] import mod1 A = mod1.func2() [file mod1.py] from mod2 import func2 def func1() -> int: func2() return 1 [file mod2.py] def func2() -> int: return 1 [file mod2.py.2] def func2() -> str: return "foo" [rechecked mod0, mod1, mod2] [stale mod0, mod2] [out2] [case testIncrementalWithComplexDictExpression] import mod1 [file mod1.py] import mod1_private [file mod1_private.py] my_dict = { 'a': [1, 2, 3], 'b': [4, 5, 6] } [file mod1_private.py.2] my_dict = { 'a': [1, 2, 3], 'b': [4, 5, 'a'] } [rechecked mod1, mod1_private] [stale mod1_private] [builtins fixtures/dict.pyi] [case testIncrementalWithComplexConstantExpressionNoAnnotation] import mod1 [file mod1.py] import mod1_private [file mod1_private.py] def foobar() -> int: return 1 def baz() -> int: return 2 const = 1 + foobar() [file mod1_private.py.2] def foobar() -> int: return 1 def baz() -> int: return 2 const = 1 + baz() [rechecked mod1_private] [stale] [case testIncrementalWithComplexConstantExpressionWithAnnotation] import mod1 [file mod1.py] import mod1_private [file mod1_private.py] def foobar() -> int: return 1 def baz() -> int: return 2 const = 1 + foobar() # type: int [file mod1_private.py.2] def foobar() -> int: return 1 def baz() -> int: return 2 const = 1 + baz() # type: int [rechecked mod1_private] [stale] [case testIncrementalSmall] import mod1 [file mod1.py] import mod1_private def accepts_int(a: int) -> None: pass accepts_int(mod1_private.some_func(12)) [file mod1_private.py] def some_func(a: int) -> int: return 1 [file mod1_private.py.2] def some_func(a: int) -> str: return "a" [rechecked mod1, mod1_private] [stale mod1_private] [builtins fixtures/ops.pyi] [out2] tmp/mod1.py:3: error: Argument 1 to "accepts_int" has incompatible type "str"; expected "int" [case testIncrementalWithDecorators] import mod1 [file mod1.py] import mod1_private def accepts_int(a: int) -> None: pass accepts_int(mod1_private.some_func(12)) [file mod1_private.py] from typing import Callable def multiply(f: Callable[[int], int]) -> Callable[[int], int]: return lambda a: f(a) * 10 def stringify(f: Callable[[int], int]) -> Callable[[int], str]: return lambda a: str(f(a)) @multiply def some_func(a: int) -> int: return a + 2 [file mod1_private.py.2] from typing import Callable def multiply(f: Callable[[int], int]) -> Callable[[int], int]: return lambda a: f(a) * 10 def stringify(f: Callable[[int], int]) -> Callable[[int], str]: return lambda a: str(f(a)) @stringify def some_func(a: int) -> int: return a + 2 [rechecked mod1, mod1_private] [stale mod1_private] [builtins fixtures/ops.pyi] [out2] tmp/mod1.py:3: error: Argument 1 to "accepts_int" has incompatible type "str"; expected "int" [case testIncrementalChangingClassAttributes] import mod1 [file mod1.py] import mod2 mod2.Foo.A [file mod2.py] class Foo: A = 3 [file mod2.py.2] class Foo: A = "hello" [rechecked mod1, mod2] [stale mod2] [case testIncrementalChangingFields] import mod1 [file mod1.py] import mod2 f = mod2.Foo() f.A [file mod2.py] class Foo: def __init__(self) -> None: self.A = 3 [file mod2.py.2] class Foo: def __init__(self) -> None: self.A = "hello" [rechecked mod1, mod2] [stale mod2] [out2] [case testIncrementalChangingFieldsWithAssignment] import mod1 [file mod1.py] import mod2 f = mod2.Foo() B = f.A [file mod2.py] class Foo: def __init__(self) -> None: self.A = 3 [file mod2.py.2] class Foo: def __init__(self) -> None: self.A = "hello" [rechecked mod1, mod2] [stale mod1, mod2] [case testIncrementalCheckingChangingFields] import mod1 [file mod1.py] import mod2 def accept_int(a: int) -> int: return a f = mod2.Foo() accept_int(f.A) [file mod2.py] class Foo: def __init__(self) -> None: self.A = 3 [file mod2.py.2] class Foo: def __init__(self) -> None: self.A = "hello" [rechecked mod1, mod2] [stale mod2] [out2] tmp/mod1.py:4: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" [case testIncrementalNestedClassDefinition] import mod1 [file mod1.py] import mod2 b = mod2.Foo.Bar() b.attr [file mod2.py] class Foo: class Bar: attr = 3 [file mod2.py.2] class Foo: class Bar: attr = "foo" [rechecked mod1, mod2] [stale mod2] [case testIncrementalSimpleBranchingModules] import mod1 import mod2 [file mod1.py] def func() -> None: pass [file mod2.py] def func() -> None: pass [file mod1.py.2] def func() -> int: return 1 [rechecked mod1] [stale mod1] [case testIncrementalSubmoduleImport] from parent.childA import Foo def func1() -> Foo: return Foo() [file parent/__init__.py] from parent.childA import Foo from parent.childB import Bar __all__ = ['Foo', 'Bar'] [file parent/childA.py] import parent class Foo: def test(self) -> int: return parent.Bar().test() [file parent/childB.py] class Bar: def test(self) -> int: return 3 [builtins fixtures/module_all.pyi] [rechecked] [stale] [case testIncrementalSubmoduleWithAttr] import mod.child x = mod.child.Foo() x.bar() [file mod/__init__.py] [file mod/child.py] class Foo: def bar(self) -> None: pass [builtins fixtures/module.pyi] [rechecked] [stale] [case testIncrementalNestedSubmoduleImportFromWithAttr] from mod1.mod2 import mod3 def accept_int(a: int) -> None: pass accept_int(mod3.val3) [file mod1/__init__.py] val1 = 1 [file mod1/mod2/__init__.py] val2 = 1 [file mod1/mod2/mod3.py] val3 = 1 [builtins fixtures/module.pyi] [rechecked] [stale] [case testIncrementalNestedSubmoduleWithAttr] import mod1.mod2.mod3 def accept_int(a: int) -> None: pass accept_int(mod1.mod2.mod3.val3) accept_int(mod1.mod2.val2) accept_int(mod1.val1) [file mod1/__init__.py] val1 = 1 [file mod1/mod2/__init__.py] val2 = 1 [file mod1/mod2/mod3.py] val3 = 1 [builtins fixtures/module.pyi] [rechecked] [stale] [case testIncrementalSubmoduleParentWithImportFrom] import parent [file parent/__init__.py] from parent import a [file parent/a.py] val = 3 [builtins fixtures/args.pyi] [stale] [case testIncrementalSubmoduleParentBackreference] import parent [file parent/__init__.py] from parent import a [file parent/a.py] import parent.b [file parent/b.py] [builtins fixtures/args.pyi] [stale] [case testIncrementalSubmoduleParentBackreferenceComplex] import parent [file parent/__init__.py] import parent.a [file parent/a.py] import parent.b import parent.c [file parent/b.py] import parent.a [file parent/c.py] import parent.a [builtins fixtures/args.pyi] [stale] [case testIncrementalReferenceNewFileWithImportFrom] from parent import a [file parent/__init__.py] [file parent/a.py] [file parent/a.py.2] from parent import b reveal_type(b.x) [file parent/b.py.2] x = 10 [stale parent.a, parent.b] [rechecked parent.a, parent.b] [out2] tmp/parent/a.py:2: note: Revealed type is "builtins.int" [case testIncrementalReferenceExistingFileWithImportFrom] from parent import a, b [file parent/__init__.py] [file parent/a.py] [file parent/b.py] [file parent/a.py.2] from parent import b [stale parent.a] [case testIncrementalWithTypeIgnoreOnDirectImport] import a, b [file a.py] import b # type: ignore [file b.py] import c [file c.py] [stale] [case testIncrementalWithTypeIgnoreOnImportFrom] import a, b [file a.py] from b import something # type: ignore [file b.py] import c something = 3 [file c.py] [stale] [case testIncrementalWithPartialTypeIgnore] import a # type: ignore import a.b [file a/__init__.py] [file a/b.py] [stale] [case testIncrementalAnyIsDifferentFromIgnore] import b [file b.py] from typing import Any import a.b [file b.py.2] from typing import Any a = 3 # type: Any import a.b [file a/__init__.py] [file a/b.py] [stale b] [case testIncrementalSilentImportsAndImportsInClass] # flags: --ignore-missing-imports class MyObject(object): from bar import FooBar [stale] [case testIncrementalSameFileSize] import m [file m.py] def foo(a: int) -> None: pass def bar(a: str) -> None: pass foo(3) [file m.py.2] def foo(a: int) -> None: pass def bar(a: str) -> None: pass bar(3) [rechecked m] [stale] [out2] tmp/m.py:4: error: Argument 1 to "bar" has incompatible type "int"; expected "str" [case testIncrementalUnsilencingModule] # cmd: mypy -m main package.subpackage.mod2 # cmd2: mypy -m main package.subpackage.mod1 # flags: --follow-imports=skip [file main.py] from package.subpackage.mod1 import Class def handle(c: Class) -> None: c.some_attribute [file package/__init__.py] # empty [file package/subpackage/__init__.py] # empty [file package/subpackage/mod1.py] import collections # Any previously unloaded package works here class Class: pass [file package/subpackage/mod2.py] # empty [builtins fixtures/args.pyi] [rechecked collections, main, package.subpackage.mod1] [stale collections, main, package.subpackage.mod1] [out2] tmp/main.py:4: error: "Class" has no attribute "some_attribute" [case testIncrementalWithIgnores] import foo # type: ignore [builtins fixtures/module.pyi] [stale] [case testIncrementalWithSilentImportsAndIgnore] # cmd: mypy -m main b # cmd2: mypy -m main c c.submodule # flags: --follow-imports=skip [file main.py] import a # type: ignore import b import c a.A().foo() b.B().foo() c.C().foo() [file b.py] class B: def foo(self) -> None: pass [file b.py.2] [file c/__init__.py] class C: pass [file c/submodule.py] val = 3 # type: int if int(): val = "foo" [builtins fixtures/module_all.pyi] [rechecked main, c, c.submodule] [stale main, c, c.submodule] [out2] tmp/c/submodule.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") tmp/main.py:7: error: "C" has no attribute "foo" [case testIncrementalRemoteError] import m m.C().foo().bar() [file m.py] import n class C: def foo(self) -> n.A: pass [file n.py] class A: def bar(self): pass [file n.py.2] class A: pass [rechecked m, n] [stale n] [out2] main:2: error: "A" has no attribute "bar" [case testIncrementalRemoteErrorFixed] import m m.C().foo().bar() [file m.py] import n class C: def foo(self) -> n.A: pass [file n.py] class A: pass [file n.py.2] class A: def bar(self): pass [rechecked m, n] [stale n] [out1] main:2: error: "A" has no attribute "bar" [case testIncrementalChangedError] import m [file m.py] import n def accept_int(x: int) -> None: pass accept_int(n.foo) [file n.py] foo = "hello" reveal_type(foo) [file n.py.2] foo = 3.14 reveal_type(foo) [rechecked m, n] [stale n] [out1] tmp/n.py:2: note: Revealed type is "builtins.str" tmp/m.py:3: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" [out2] tmp/n.py:2: note: Revealed type is "builtins.float" tmp/m.py:3: error: Argument 1 to "accept_int" has incompatible type "float"; expected "int" [case testIncrementalReplacingImports] import good, bad, client [file good.py] def foo(a: int) -> None: pass [file bad.py] def foo(a: str) -> None: pass [file client.py] import good import bad from good import foo foo(3) [file client.py.2] import good import bad from bad import foo foo(3) [rechecked client] [stale client] [out2] tmp/client.py:4: error: Argument 1 to "foo" has incompatible type "int"; expected "str" [case testIncrementalChangingAlias] import m1, m2, m3, m4, m5 [file m1.py] from m2 import A def accepts_int(x: int) -> None: pass accepts_int(A()) [file m2.py] from m3 import A [file m3.py] from m4 import B A = B [file m3.py.2] from m5 import C A = C [file m4.py] def B() -> int: return 42 [file m5.py] def C() -> str: return "hello" [rechecked m1, m2, m3] [stale m3] [out2] tmp/m1.py:3: error: Argument 1 to "accepts_int" has incompatible type "str"; expected "int" [case testIncrementalStoresAliasTypeVars] import a [file mod.py] from typing import TypeVar, Union T = TypeVar('T') Alias = Union[int, T] x: Alias[str] [file a.py] from mod import Alias, x [file a.py.2] from mod import Alias, x reveal_type(x) y: Alias[int] reveal_type(y) [out2] tmp/a.py:3: note: Revealed type is "Union[builtins.int, builtins.str]" tmp/a.py:5: note: Revealed type is "Union[builtins.int, builtins.int]" [case testIncrementalSilentImportsWithBlatantError] # cmd: mypy -m main # flags: --follow-imports=skip [file main.py] from evil import Hello [file main.py.2] from evil import Hello reveal_type(Hello()) [file evil.py] def accept_int(x: int) -> None: pass accept_int("not an int") [rechecked main] [stale] [out2] tmp/main.py:2: note: Revealed type is "Any" [case testIncrementalImportIsNewlySilenced] # cmd: mypy -m main foo # cmd2: mypy -m main # flags: --follow-imports=skip [file main.py] from foo import bar def accept_int(x: int) -> None: pass accept_int(bar) [file foo.py] bar = 3 [file foo.py.2] # Empty! [rechecked main] [stale main] [case testIncrementalSilencedModuleNoLongerCausesError] # cmd: mypy -m main evil # cmd2: mypy -m main # flags: --follow-imports=skip [file main.py] from evil import bar def accept_int(x: int) -> None: pass accept_int(bar) reveal_type(bar) [file evil.py] bar = "str" [rechecked main] [stale main] [out1] tmp/main.py:3: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" tmp/main.py:4: note: Revealed type is "builtins.str" [out2] tmp/main.py:4: note: Revealed type is "Any" [case testIncrementalFixedBugCausesPropagation] import mod1 [file mod1.py] from mod2 import A val = A().makeB().makeC().foo() reveal_type(val) [file mod2.py] from mod3 import B class A: def makeB(self) -> B: return B() [file mod3.py] from mod4 import C class B: def makeC(self) -> C: val = 3 # type: int if 1: val = "str" # deliberately triggering error return C() [file mod3.py.2] from mod4 import C class B: def makeC(self) -> C: return C() [file mod4.py] class C: def foo(self) -> int: return 1 [rechecked mod3] [stale] [out1] tmp/mod3.py:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") tmp/mod1.py:3: note: Revealed type is "builtins.int" [out2] tmp/mod1.py:3: note: Revealed type is "builtins.int" [case testIncrementalIncidentalChangeWithBugCausesPropagation] import mod1 [file mod1.py] from mod2 import A val = A().makeB().makeC().foo() reveal_type(val) [file mod2.py] from mod3 import B class A: def makeB(self) -> B: return B() [file mod3.py] from mod4 import C class B: def makeC(self) -> C: val = 3 # type: int if 1: val = "str" # deliberately triggering error return C() [file mod4.py] class C: def foo(self) -> int: return 1 [file mod4.py.2] class C: def foo(self) -> str: return 'a' [rechecked mod4, mod3, mod1] [stale mod1, mod4] [out1] tmp/mod3.py:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") tmp/mod1.py:3: note: Revealed type is "builtins.int" [out2] tmp/mod3.py:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") tmp/mod1.py:3: note: Revealed type is "builtins.str" [case testIncrementalIncidentalChangeWithBugFixCausesPropagation] import mod1 [file mod1.py] from mod2 import A val = A().makeB().makeC().foo() reveal_type(val) [file mod2.py] from mod3 import B class A: def makeB(self) -> B: return B() [file mod3.py] from mod4 import C class B: def makeC(self) -> C: val = 3 # type: int if 1: val = "str" # deliberately triggering error return C() [file mod3.py.2] from mod4 import C class B: def makeC(self) -> C: return C() [file mod4.py] class C: def foo(self) -> int: return 1 [file mod4.py.2] class C: def foo(self) -> str: return 'a' [rechecked mod4, mod3, mod1] [stale mod1, mod4] [out1] tmp/mod3.py:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") tmp/mod1.py:3: note: Revealed type is "builtins.int" [out2] tmp/mod1.py:3: note: Revealed type is "builtins.str" [case testIncrementalSilentImportsWithInnerImports] # cmd: mypy -m main foo # flags: --ignore-missing-imports [file main.py] from foo import MyClass m = MyClass() [file main.py.2] from foo import MyClass m = MyClass() reveal_type(m.val) [file foo.py] class MyClass: def __init__(self) -> None: import unrelated self.val = unrelated.test() [rechecked main] [stale] [out2] tmp/main.py:3: note: Revealed type is "Any" [case testIncrementalSilentImportsWithInnerImportsAndNewFile] # cmd: mypy -m main foo # cmd2: mypy -m main foo unrelated # flags: --follow-imports=skip [file main.py] from foo import MyClass m = MyClass() [file main.py.2] from foo import MyClass m = MyClass() reveal_type(m.val) [file foo.py] class MyClass: def __init__(self) -> None: import unrelated self.val = unrelated.test() [file unrelated.py] def test() -> str: return "foo" [rechecked main, foo, unrelated] [stale foo, unrelated] [out2] tmp/main.py:3: note: Revealed type is "builtins.str" [case testIncrementalWorksWithNestedClasses] import foo [file foo.py] class MyClass: class NestedClass: pass class_attr = NestedClass() [rechecked] [stale] [case testIncrementalWorksWithBasicProtocols] import a [file a.py] from b import P x: int y: P[int] x = y.meth() class C: def meth(self) -> int: pass y = C() [file a.py.2] from b import P x: str y: P[str] x = y.meth() class C: def meth(self) -> str: pass y = C() [file b.py] from typing import Protocol, TypeVar T = TypeVar('T', covariant=True) class P(Protocol[T]): def meth(self) -> T: pass [case testIncrementalSwitchFromNominalToStructural] import a [file a.py] from b import B, fun class C(B): def x(self) -> int: pass def y(self) -> int: pass fun(C()) [file b.py] from typing import Protocol class B: def x(self) -> float: pass def fun(arg: B) -> None: arg.x() [file b.py.2] from typing import Protocol class B(Protocol): def x(self) -> float: pass def fun(arg: B) -> None: arg.x() [file a.py.3] from b import fun class C: def x(self) -> int: pass def y(self) -> int: pass fun(C()) [out1] [out2] [out3] [case testIncrementalSwitchFromStructuralToNominal] import a [file a.py] from b import fun class C: def x(self) -> int: pass def y(self) -> int: pass fun(C()) [file b.py] from typing import Protocol class B(Protocol): def x(self) -> float: pass def fun(arg: B) -> None: arg.x() [file b.py.2] from typing import Protocol class B: def x(self) -> float: pass def fun(arg: B) -> None: arg.x() [out1] [out2] tmp/a.py:5: error: Argument 1 to "fun" has incompatible type "C"; expected "B" [case testIncrementalWorksWithNamedTuple] import foo [file foo.py] from mid import MyTuple def accept_int(x: int) -> None: pass accept_int(MyTuple(1, "b", "c").a) [file mid.py] from bar import MyTuple [file bar.py] from typing import NamedTuple MyTuple = NamedTuple('MyTuple', [ ('a', int), ('b', str), ('c', str) ]) [file bar.py.2] from typing import NamedTuple MyTuple = NamedTuple('MyTuple', [ ('b', int), # a and b are swapped ('a', str), ('c', str) ]) [rechecked bar, mid, foo] [stale bar] [builtins fixtures/tuple.pyi] [out2] tmp/foo.py:3: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" [case testIncrementalWorksWithNestedNamedTuple] import foo [file foo.py] from mid import Outer def accept_int(x: int) -> None: pass accept_int(Outer.MyTuple(1, "b", "c").a) [file mid.py] from bar import Outer [file bar.py] from typing import NamedTuple class Outer: MyTuple = NamedTuple('MyTuple', [ ('a', int), ('b', str), ('c', str) ]) [file bar.py.2] from typing import NamedTuple class Outer: MyTuple = NamedTuple('MyTuple', [ ('b', int), # a and b are swapped ('a', str), ('c', str) ]) [rechecked bar, mid, foo] [stale bar] [builtins fixtures/tuple.pyi] [out2] tmp/foo.py:3: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" [case testIncrementalPartialSubmoduleUpdate] # cmd: mypy -m a # cmd2: mypy -m a a.c # flags: --follow-imports=skip [file a/__init__.py] from .b import B from .c import C [file a/b.py] class B: pass [file a/c.py] class C: pass [file a/c.py.2] class C: pass pass [rechecked a, a.c] [stale a, a.c] [out] [case testIncrementalNestedClassRef] import top [file top.py] from funcs import callee from classes import Outer def caller(a: Outer.Inner) -> None: callee(a) [file funcs.py] from classes import Outer def callee(a: Outer.Inner) -> None: pass [file classes.py] class Outer: class Inner: pass [file top.py.2] from funcs import callee from classes import Outer def caller(a: Outer.Inner) -> int: callee(a) return 0 [case testIncrementalLoadsParentAfterChild] # cmd: mypy -m r.s [file r/__init__.py] from . import s [file r/m.py] class R: pass [file r/s.py] from . import m R = m.R a: R [file r/s.py.2] from . import m R = m.R a: R [case testIncrementalBaseClassAttributeConflict] class A: pass class B: pass class X: attr = None # type: A class Y: attr = None # type: B class Z(X, Y): pass [stale] [out] main:8: error: Definition of "attr" in base class "X" is incompatible with definition in base class "Y" [out2] main:8: error: Definition of "attr" in base class "X" is incompatible with definition in base class "Y" [case testIncrementalFollowImportsSilent] # flags: --follow-imports=silent import a [file a.py] x = 0 [file a.py.2] x = 0 x + '' [case testIncrementalFollowImportsSkip] # flags: --follow-imports=skip import a reveal_type(a.x) [file a.py] / [file a.py.2] // [out] main:3: note: Revealed type is "Any" [out2] main:3: note: Revealed type is "Any" [case testIncrementalFollowImportsError] # flags: --follow-imports=error import a [file a.py] / [file a.py.2] // [out1] main:2: error: Import of "a" ignored main:2: note: (Using --follow-imports=error, module not passed on command line) [out2] main:2: error: Import of "a" ignored main:2: note: (Using --follow-imports=error, module not passed on command line) [case testIncrementalFollowImportsVariable] # flags: --config-file tmp/mypy.ini import a reveal_type(a.x) [file a.py] x = 0 [file mypy.ini] \[mypy] follow_imports = normal [file mypy.ini.2] \[mypy] follow_imports = skip [out1] main:3: note: Revealed type is "builtins.int" [out2] main:3: note: Revealed type is "Any" [case testIncrementalFollowImportsVariablePyProjectTOML] # flags: --config-file tmp/pyproject.toml import a reveal_type(a.x) [file a.py] x = 0 [file pyproject.toml] \[tool.mypy] follow_imports = 'normal' [file pyproject.toml.2] \[tool.mypy] follow_imports = 'skip' [out1] main:3: note: Revealed type is "builtins.int" [out2] main:3: note: Revealed type is "Any" [case testIncrementalIgnoreErrors] # flags: --config-file tmp/mypy.ini import a [file a.py] import module_that_will_be_deleted [file module_that_will_be_deleted.py] [file mypy.ini] \[mypy] \[mypy-a] ignore_errors = True [delete module_that_will_be_deleted.py.2] [out1] [out2] [case testIncrementalNamedTupleInMethod] from ntcrash import nope [file ntcrash.py] from typing import NamedTuple class C: def f(self) -> None: A = NamedTuple('A', [('x', int), ('y', int)]) [builtins fixtures/tuple.pyi] [out1] main:1: error: Module "ntcrash" has no attribute "nope" [out2] main:1: error: Module "ntcrash" has no attribute "nope" [case testIncrementalNamedTupleInMethod2] from ntcrash import nope [file ntcrash.py] from typing import NamedTuple class C: class D: def f(self) -> None: A = NamedTuple('A', [('x', int), ('y', int)]) [builtins fixtures/tuple.pyi] [out1] main:1: error: Module "ntcrash" has no attribute "nope" [out2] main:1: error: Module "ntcrash" has no attribute "nope" [case testIncrementalNamedTupleInMethod3] from ntcrash import nope [file ntcrash.py] from typing import NamedTuple class C: def a(self): class D: def f(self) -> None: A = NamedTuple('A', [('x', int), ('y', int)]) [builtins fixtures/tuple.pyi] [out1] main:1: error: Module "ntcrash" has no attribute "nope" [out2] main:1: error: Module "ntcrash" has no attribute "nope" [case testIncrementalTypedDictInMethod] from tdcrash import nope [file tdcrash.py] from typing import TypedDict class C: def f(self) -> None: A = TypedDict('A', {'x': int, 'y': int}) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out1] main:1: error: Module "tdcrash" has no attribute "nope" [out2] main:1: error: Module "tdcrash" has no attribute "nope" [case testIncrementalTypedDictInMethod2] from tdcrash import nope [file tdcrash.py] from typing import TypedDict class C: class D: def f(self) -> None: A = TypedDict('A', {'x': int, 'y': int}) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out1] main:1: error: Module "tdcrash" has no attribute "nope" [out2] main:1: error: Module "tdcrash" has no attribute "nope" [case testIncrementalTypedDictInMethod3] from tdcrash import nope [file tdcrash.py] from typing import TypedDict class C: def a(self): class D: def f(self) -> None: A = TypedDict('A', {'x': int, 'y': int}) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out1] main:1: error: Module "tdcrash" has no attribute "nope" [out2] main:1: error: Module "tdcrash" has no attribute "nope" [case testIncrementalNewTypeInMethod] from ntcrash import nope [file ntcrash.py] from typing import NewType, NamedTuple, TypedDict class C: def f(self) -> None: X = NewType('X', int) A = TypedDict('A', {'x': X, 'y': int}) B = NamedTuple('B', [('x', X)]) def f() -> None: X = NewType('X', int) A = TypedDict('A', {'x': X, 'y': int}) B = NamedTuple('B', [('x', X)]) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out1] main:1: error: Module "ntcrash" has no attribute "nope" [out2] main:1: error: Module "ntcrash" has no attribute "nope" [case testIncrementalInnerClassAttrInMethod] import crash nonexisting [file crash.py] class C: def f(self) -> None: class A: pass self.a = A() [out1] main:2: error: Name "nonexisting" is not defined [out2] main:2: error: Name "nonexisting" is not defined [case testIncrementalInnerClassAttrInMethodReveal] import crash reveal_type(crash.C().a) reveal_type(crash.D().a) [file crash.py] from typing import TypeVar, Generic T = TypeVar('T') class C: def f(self) -> None: class A: pass self.a = A() reveal_type(C().a) class D: def f(self) -> None: class A: def g(self) -> None: class B(Generic[T]): pass self.b = B[int]() self.a = A().b reveal_type(D().a) [out1] tmp/crash.py:8: note: Revealed type is "crash.A@5" tmp/crash.py:17: note: Revealed type is "crash.B@13[builtins.int]" main:2: note: Revealed type is "crash.A@5" main:3: note: Revealed type is "crash.B@13[builtins.int]" [out2] tmp/crash.py:8: note: Revealed type is "crash.A@5" tmp/crash.py:17: note: Revealed type is "crash.B@13[builtins.int]" main:2: note: Revealed type is "crash.A@5" main:3: note: Revealed type is "crash.B@13[builtins.int]" [case testGenericMethodRestoreMetaLevel] from typing import Dict d = {} # type: Dict[str, int] g = d.get # This should not crash: see https://github.com/python/mypy/issues/2804 [builtins fixtures/dict.pyi] [case testGenericMethodRestoreMetaLevel2] from typing import TypeVar T = TypeVar('T') class D: def m(self, x: T) -> T: return x g = D().m # This should not crash: see https://github.com/python/mypy/issues/2804 [builtins fixtures/dict.pyi] [case testGenericMethodRestoreMetaLevel3] from typing import TypeVar T = TypeVar('T') class C: def m(self, x: T) -> T: return x class D(C): def __init__(self) -> None: self.d = super().m # This should not crash: see https://github.com/python/mypy/issues/2804 [builtins fixtures/dict.pyi] [case testIncrementalPerFileFlags] # flags: --config-file tmp/mypy.ini import a [file a.py] pass [file mypy.ini] \[mypy] warn_no_return = False \[mypy-a] warn_no_return = True [rechecked] [case testIncrementalClassVar] from typing import ClassVar class A: x: ClassVar A().x = 0 [out1] main:4: error: Cannot assign to class variable "x" via instance [out2] main:4: error: Cannot assign to class variable "x" via instance [case testIncrementalClassVarGone] import m m.A().x = 0 [file m.py] from typing import ClassVar class A: x = None # type: ClassVar[int] [file m.py.2] class A: x = None # type: int [out1] main:2: error: Cannot assign to class variable "x" via instance [case testCachingClassVar] import b [file a.py] from typing import ClassVar class A: x = None # type: ClassVar[int] [file b.py] import a [file b.py.2] import a a.A().x = 0 [out2] tmp/b.py:2: error: Cannot assign to class variable "x" via instance [case testSerializeTypedDict] import b reveal_type(b.x) y: b.A reveal_type(y) [file b.py] from typing import TypedDict A = TypedDict('A', {'x': int, 'y': str}) x: A [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out1] main:2: note: Revealed type is "TypedDict('b.A', {'x': builtins.int, 'y': builtins.str})" main:4: note: Revealed type is "TypedDict('b.A', {'x': builtins.int, 'y': builtins.str})" [out2] main:2: note: Revealed type is "TypedDict('b.A', {'x': builtins.int, 'y': builtins.str})" main:4: note: Revealed type is "TypedDict('b.A', {'x': builtins.int, 'y': builtins.str})" [case testSerializeMetaclass] import b reveal_type(b.A.f()) m: b.M = b.A reveal_type(b.a.f()) [file b.py] from typing import Type class M(type): def f(cls) -> int: return 0 class A(metaclass=M): pass a: Type[A] [out] main:2: note: Revealed type is "builtins.int" main:4: note: Revealed type is "builtins.int" [out2] main:2: note: Revealed type is "builtins.int" main:4: note: Revealed type is "builtins.int" [case testSerializeMetaclassInImportCycle1] import b import c reveal_type(b.A.f()) m: c.M = b.A reveal_type(b.a.f()) [file b.py] from typing import Type from c import M class A(metaclass=M): pass a: Type[A] [file c.py] class M(type): def f(cls) -> int: return 0 [out] main:3: note: Revealed type is "builtins.int" main:5: note: Revealed type is "builtins.int" [out2] main:3: note: Revealed type is "builtins.int" main:5: note: Revealed type is "builtins.int" [case testSerializeMetaclassInImportCycle2] import b import c reveal_type(c.A.f()) m: b.M = c.A reveal_type(c.a.f()) [file b.py] from c import a class M(type): def f(cls) -> int: return 0 [file c.py] from typing import Type import b class A(metaclass=b.M): pass a: Type[A] [out] main:3: note: Revealed type is "builtins.int" main:5: note: Revealed type is "builtins.int" [out2] main:3: note: Revealed type is "builtins.int" main:5: note: Revealed type is "builtins.int" [case testDeleteFile] import n [file n.py] import m [file m.py] x = 1 [delete m.py.2] [rechecked n] [stale n] [out2] tmp/n.py:1: error: Cannot find implementation or library stub for module named "m" tmp/n.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testDeleteFileWithinCycle] import a [file a.py] import b [file b.py] import c [file c.py] import a [file a.py.2] import c [delete b.py.2] [rechecked a, c] [stale a] [out2] [case testThreePassesBasic] import m [file m.py] def foo(): pass [file m.py.2] def foo() -> None: pass [file m.py.3] def foo(): pass [rechecked m] [stale m] [rechecked2 m] [stale2 m] [out3] [case testThreePassesErrorInThirdPass] import m [file m.py] def foo(): pass [file m.py.2] def foo() -> None: pass [file m.py.3] def foo() -> int: return '' [rechecked m] [stale m] [rechecked2 m] [stale2 m] [out3] tmp/m.py:2: error: Incompatible return value type (got "str", expected "int") [case testThreePassesThirdPassFixesError] import n [file n.py] import m x = m.foo(1) [file m.py] def foo(x): pass [file m.py.2] def foo() -> str: pass [file m.py.3] def foo(x) -> int: pass [rechecked m, n] [stale m, n] [rechecked2 m, n] [stale2 m, n] [out2] tmp/n.py:2: error: Too many arguments for "foo" [out3] [case testCacheDeletedAfterErrorsFound] import a [file a.py] from b import x [file b.py] from c import x [file c.py] x = 1 [file c.py.2] 1 + 1 [file a.py.3] from b import x 1 + 1 [out] [out2] tmp/b.py:1: error: Module "c" has no attribute "x" [out3] tmp/b.py:1: error: Module "c" has no attribute "x" [case testCacheDeletedAfterErrorsFound2] import a [file a.py] from b import x [file b.py] from c import C x: C [file c.py] class C: pass [file c.py.2] def C(): pass [file a.py.3] from b import x 1 + 1 [out] [out2] tmp/b.py:2: error: Function "c.C" is not valid as a type tmp/b.py:2: note: Perhaps you need "Callable[...]" or a callback protocol? [out3] tmp/b.py:2: error: Function "c.C" is not valid as a type tmp/b.py:2: note: Perhaps you need "Callable[...]" or a callback protocol? [case testCacheDeletedAfterErrorsFound3] import a [file a.py] import b b.f() [file b.py] def f() -> None: pass [file b.py.2] def f(x) -> None: pass [out] [out2] tmp/a.py:2: error: Missing positional argument "x" in call to "f" [out3] tmp/a.py:2: error: Missing positional argument "x" in call to "f" [case testCacheDeletedAfterErrorsFound4] import a [file a.py] from b import x [file b.py] from c import x [file c.py] from d import x [file d.py] x = 1 [file d.py.2] 1 + 1 [file a.py.3] from b import x 1 + 1 [out] [out2] tmp/c.py:1: error: Module "d" has no attribute "x" [out3] tmp/c.py:1: error: Module "d" has no attribute "x" [case testNoCrashOnDeletedWithCacheOnCmdline] # cmd: mypy -m nonexistent # cmd2: mypy -m nonexistent [file nonexistent.py] [delete nonexistent.py.2] [out] [out2] mypy: can't read file 'tmp/nonexistent.py': No such file or directory -- ' [case testSerializeAbstractPropertyIncremental] from abc import abstractmethod import typing class A: @property def f(self) -> int: return 1 @f.setter # type: ignore @abstractmethod def f(self, x: int) -> None: pass a = A() [builtins fixtures/property.pyi] [case testSerializeAbstractPropertyDisallowUntypedIncremental] # flags: --disallow-untyped-defs from abc import abstractmethod import typing class A: @property def f(self) -> int: return 1 @f.setter # type: ignore @abstractmethod def f(self, x: int) -> None: pass a = A() [builtins fixtures/property.pyi] [case testClassNamesResolutionCrashAccess] import mod [file mod.py] class C: def __init__(self) -> None: self.int = '' def f(self, f: int) -> None: pass [file mod.py.2] class C: def __init__(self) -> None: self.int = '' def f(self, f: int) -> None: f.x [out] [out2] tmp/mod.py:6: error: "int" has no attribute "x" [case testClassNamesResolutionCrashReadCache] import mod [file mod.py] import submod [file mod.py.2] from submod import C c = C() reveal_type(c.int) reveal_type(c.y) [file submod.py] from typing import List class C: def __init__(self) -> None: self.int = [] # type: List[int] def f(self, f: int) -> None: self.y = f [builtins fixtures/list.pyi] [out] [out2] tmp/mod.py:4: note: Revealed type is "builtins.list[builtins.int]" tmp/mod.py:5: note: Revealed type is "builtins.int" [case testClassNamesResolutionCrashReveal] import mod [file mod.py] class Foo(object): def __init__(self) -> None: self.bytes = b"foo" def bar(self, f: bytes): pass foo = Foo() foo.bar(b"test") [file mod.py.2] class Foo(object): def __init__(self) -> None: self.bytes = b"foo" def bar(self, f: bytes): reveal_type(f) foo = Foo() foo.bar(b"test") [out] [out2] tmp/mod.py:7: note: Revealed type is "builtins.bytes" [case testIncrementalWithSilentImports] # cmd: mypy -m a # cmd2: mypy -m b # flags: --follow-imports=silent [file a.py] import b b.foo(1, 2) [file b.py] def foo(a: int, b: int) -> str: return a + b [out1] [out2] tmp/b.py:2: error: Incompatible return value type (got "int", expected "str") [case testForwardNamedTupleToUnionWithOtherNamedTUple] from typing import NamedTuple, Union class Person(NamedTuple): name: Union[str, "Pair"] class Pair(NamedTuple): first: str last: str Person(name=Pair(first="John", last="Doe")) [builtins fixtures/tuple.pyi] [out] [case testNoCrashForwardRefToBrokenDoubleNewTypeIncremental] from typing import Any, List, NewType Foo = NewType('NotFoo', int) # type: ignore Foos = NewType('Foos', List[Foo]) # type: ignore def frob(foos: List[Foos]) -> None: pass [builtins fixtures/list.pyi] [out] [case testNoCrashForwardRefOverloadIncremental] from typing import overload, List @overload def f(x: int) -> int: ... @overload def f(x: F) -> F: ... def f(x): pass F = List[int] [builtins fixtures/list.pyi] [out] [case testNoCrashForwardRefOverloadIncrementalClass] from typing import overload, Tuple, NamedTuple x: C class C: @overload def f(self, x: str) -> N: pass @overload def f(self, x: int) -> int: pass def f(self, x): pass class N(NamedTuple): x: A A = Tuple[int] [builtins fixtures/tuple.pyi] [out] [case testNewTypeFromForwardNamedTupleIncremental] from typing import NewType, NamedTuple, Tuple NT = NewType('NT', 'N') class N(NamedTuple): x: int x: NT = N(1) # type: ignore x = NT(N(1)) [builtins fixtures/tuple.pyi] [out] [case testNewTypeFromForwardTypedDictIncremental] from typing import NewType, Tuple, TypedDict, Dict NT = NewType('NT', N) # type: ignore class N(TypedDict): x: A A = Dict[str, int] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] -- Some crazy self-referential named tuples, types dicts, and aliases -- to be sure that everything can be _serialized_ (i.e. ForwardRefs are removed). -- For this reason errors are silenced (tests with # type: ignore have equivalents in other files) [case testForwardTypeAliasInBase1] from typing import List class C(List['A']): pass A = List[int] x: int = C()[0][0] [builtins fixtures/list.pyi] [out] [case testForwardTypeAliasInBase2] from typing import List, Generic, TypeVar, NamedTuple T = TypeVar('T') class C(A, B): # type: ignore pass class G(Generic[T]): pass A = G[C] # type: ignore class B(NamedTuple): x: int C(1).x C(1)[0] [builtins fixtures/list.pyi] [out] [case testSerializeRecursiveAlias] from typing import Callable, Union Node = Union[str, int, Callable[[], "Node"]] n: Node [out] [case testSerializeRecursiveAliases1] from typing import Type, Callable, Union A = Union[A, int] # type: ignore B = Callable[[B], int] # type: ignore C = Type[C] # type: ignore [out] [case testSerializeRecursiveAliases2] from typing import Type, Callable, Union A = Union[B, int] # type: ignore B = Callable[[C], int] # type: ignore C = Type[A] # type: ignore [out] [case testSerializeRecursiveAliases3] from typing import Type, Callable, Union, NamedTuple A = Union[B, int] # type: ignore B = Callable[[C], int] # type: ignore class C(NamedTuple): # type: ignore x: A [builtins fixtures/tuple.pyi] [out] [case testGenericTypeAliasesForwardAnyIncremental1] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') IntNode = Node[int, S] # type: ignore[used-before-def] AnyNode = Node[S, T] # type: ignore[used-before-def] class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: self.x = x self.y = y def output() -> IntNode[str]: return Node(1, 'x') x = output() # type: IntNode y: IntNode y.x = 1 y.y = 1 y.y = 'x' z = Node(1, 'x') # type: AnyNode [out] [case testGenericTypeAliasesForwardAnyIncremental2] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class Node(Generic[T, S]): def __init__(self, x: T, y: S) -> None: self.x = x self.y = y def output() -> IntNode[str]: return Node(1, 'x') x = output() # type: IntNode y: IntNode y.x = 1 y.y = 1 y.y = 'x' z = Node(1, 'x') # type: AnyNode IntNode = Node[int, S] AnyNode = Node[S, T] [out] [case testNamedTupleForwardAsUpperBoundSerialization] from typing import NamedTuple, TypeVar, Generic T = TypeVar('T', bound='M') class G(Generic[T]): x: T yg: G[M] z: int = G[M]().x.x # type: ignore[used-before-def] z = G[M]().x[0] # type: ignore[used-before-def] M = NamedTuple('M', [('x', int)]) [builtins fixtures/tuple.pyi] [out] [case testSelfRefNTIncremental1] from typing import Tuple, NamedTuple Node = NamedTuple('Node', [ ('name', str), ('children', Tuple['Node', ...]), # type: ignore ]) n: Node [builtins fixtures/tuple.pyi] [case testSelfRefNTIncremental2] from typing import Tuple, NamedTuple A = NamedTuple('A', [ ('x', str), ('y', Tuple['B', ...]), # type: ignore ]) class B(NamedTuple): x: A y: int n: A [builtins fixtures/tuple.pyi] [case testSelfRefNTIncremental3] from typing import NamedTuple, Tuple class B(NamedTuple): x: Tuple[A, int] # type: ignore y: int A = NamedTuple('A', [ ('x', str), ('y', 'B'), ]) n: B m: A lst = [m, n] [builtins fixtures/tuple.pyi] [case testSelfRefNTIncremental4] from typing import NamedTuple class B(NamedTuple): x: A # type: ignore y: int class A(NamedTuple): x: str y: B n: A [builtins fixtures/tuple.pyi] [case testSelfRefNTIncremental5] from typing import NamedTuple B = NamedTuple('B', [ ('x', A), # type: ignore ('y', int), ]) A = NamedTuple('A', [ ('x', str), ('y', 'B'), ]) n: A def f(m: B) -> None: pass [builtins fixtures/tuple.pyi] [case testCrashWithPartialGlobalAndCycle] import bar [file foo.py] import bar my_global_dict = {} # type: ignore def external_func_0() -> None: global my_global_dict bar.external_list my_global_dict[12] = 0 [file bar.py] import foo external_list = [0] [builtins fixtures/dict.pyi] [case testIncrementalCrashOnTypeWithFunction] import a [file a.py] import b [file a.py.2] from b import x [file b.py] from typing import TypeVar, Type T = TypeVar('T') def tp(arg: T) -> Type[T]: pass def func(x: int) -> int: pass x = tp(func) [out] [out2] [case testReprocessModuleEvenIfInterfaceHashDoesNotChange] import a import d [file a.py] import b x: b.c.A x = b.c.A() [file b.py] import c [file c.py] class A: x = 1 [file d.py] import a def f() -> None: pass [file a.py.2] import b x: b.c.A [file c.py.3] class A: x = 2 [file d.py.4] import a def f() -> None: from c import A a.x = [A(), a.x][0] [builtins fixtures/list.pyi] [stale] [rechecked a] [stale2] [rechecked2 c] [stale3] [rechecked3 d] [out1] [out2] [out3] [out4] [case testTreeShadowingViaParentPackage] import m.semanal [file m/__init__.py] pass [file m/nodes.py] if False: import m.types import m.semanal class Node: line: int class FuncBase(Node): type: m.types.Type class OverloadedFuncDef(FuncBase): pass [file m/types.py] from m.nodes import Node class Type(Node): pass class Overloaded(Type): pass [file m/semanal.py] from m.nodes import OverloadedFuncDef from m.types import Overloaded class C: def func(self, defn: OverloadedFuncDef): defn.type = Overloaded() defn.type.line = 0 [file m/nodes.py.2] if False: import m.types import m.semanal class Node: line: int class FuncBase(Node): type: m.types.Type class OverloadedFuncDef(FuncBase): pass extra = 1 [file m/types.py.2] from m.nodes import Node class Type(Node): pass class Overloaded(Type): pass extra = 1 [builtins fixtures/list.pyi] [file m/semanal.py.2] from m.nodes import OverloadedFuncDef from m.types import Overloaded class C: def func(self, defn: OverloadedFuncDef): defn.type = Overloaded() defn.type.line = 0 extra = 1 [out1] [out2] [case testErrorsAffectDependentsOnly] # cmd: mypy -m m.a m.b m.c [file m/__init__.py] [file m/a.py] 1 + '' # Deliberate error [file m/b.py] import m.a # Depends on module with error [file m/c.py] import m # No error here [rechecked] [out1] tmp/m/a.py:1: error: Unsupported operand types for + ("int" and "str") [out2] tmp/m/a.py:1: error: Unsupported operand types for + ("int" and "str") [case testDisallowAnyExprIncremental] # cmd: mypy -m main # flags: --disallow-any-expr [file ns.py] class Namespace: def __init__(self): self.user = 0 [file main.py] import ns user = ns.Namespace.user [out1] tmp/main.py:2: error: Expression has type "Any" [out2] tmp/main.py:2: error: Expression has type "Any" [case testIncrementalStrictOptional] import a 1 + a.foo() [file a.py] def foo() -> int: return 0 [file a.py.2] from typing import Optional def foo() -> Optional[int]: return 0 [out1] [out2] main:2: error: Unsupported operand types for + ("int" and "None") main:2: note: Right operand is of type "Optional[int]" [case testAttrsIncrementalSubclassingCached] from a import A import attrs @attrs.define class B(A): e: str = 'e' a = B(5, [5], 'foo') a.a = 6 a._b = [2] a.c = 'yo' a._d = 22 a.e = 'hi' [file a.py] import attrs from typing import List, ClassVar @attrs.define class A: a: int _b: List[int] c: str = '18' _d: int = attrs.field(validator=None, default=18) E = 7 F: ClassVar[int] = 22 [builtins fixtures/list.pyi] [out1] [out2] [case testAttrsIncrementalSubclassingCachedConverter] from a import A import attrs @attrs.define class B(A): pass reveal_type(B) [file a.py] def converter(s:int) -> str: return 'hello' import attrs @attrs.define class A: x: str = attrs.field(converter=converter) [builtins fixtures/list.pyi] [out1] main:6: note: Revealed type is "def (x: builtins.int) -> __main__.B" [out2] main:6: note: Revealed type is "def (x: builtins.int) -> __main__.B" [case testAttrsIncrementalSubclassingCachedType] from a import A import attrs @attrs.define class B(A): pass reveal_type(B) [file a.py] import attrs @attrs.define class A: x: int [builtins fixtures/list.pyi] [out1] main:6: note: Revealed type is "def (x: builtins.int) -> __main__.B" [out2] main:6: note: Revealed type is "def (x: builtins.int) -> __main__.B" [case testAttrsIncrementalArguments] from a import Frozen, NoInit, NoCmp f = Frozen(5) f.x = 6 g = NoInit() Frozen(1) < Frozen(2) Frozen(1) <= Frozen(2) Frozen(1) > Frozen(2) Frozen(1) >= Frozen(2) NoCmp(1) < NoCmp(2) NoCmp(1) <= NoCmp(2) NoCmp(1) > NoCmp(2) NoCmp(1) >= NoCmp(2) [file a.py] import attrs @attrs.frozen class Frozen: x: int @attrs.define(init=False) class NoInit: x: int @attrs.define(eq=False) class NoCmp: x: int [builtins fixtures/plugin_attrs.pyi] [rechecked] [stale] [out1] main:3: error: Property "x" defined in "Frozen" is read-only main:12: error: Unsupported left operand type for < ("NoCmp") main:13: error: Unsupported left operand type for <= ("NoCmp") main:14: error: Unsupported left operand type for > ("NoCmp") main:15: error: Unsupported left operand type for >= ("NoCmp") [out2] main:3: error: Property "x" defined in "Frozen" is read-only main:12: error: Unsupported left operand type for < ("NoCmp") main:13: error: Unsupported left operand type for <= ("NoCmp") main:14: error: Unsupported left operand type for > ("NoCmp") main:15: error: Unsupported left operand type for >= ("NoCmp") [case testAttrsIncrementalDunder] from a import A reveal_type(A) # N: Revealed type is "def (a: builtins.int) -> a.A" reveal_type(A.__lt__) # N: Revealed type is "def [_AT] (self: _AT`3, other: _AT`3) -> builtins.bool" reveal_type(A.__le__) # N: Revealed type is "def [_AT] (self: _AT`4, other: _AT`4) -> builtins.bool" reveal_type(A.__gt__) # N: Revealed type is "def [_AT] (self: _AT`5, other: _AT`5) -> builtins.bool" reveal_type(A.__ge__) # N: Revealed type is "def [_AT] (self: _AT`6, other: _AT`6) -> builtins.bool" A(1) < A(2) A(1) <= A(2) A(1) > A(2) A(1) >= A(2) A(1) == A(2) A(1) != A(2) A(1) < 1 # E: Unsupported operand types for < ("A" and "int") A(1) <= 1 # E: Unsupported operand types for <= ("A" and "int") A(1) > 1 # E: Unsupported operand types for > ("A" and "int") A(1) >= 1 # E: Unsupported operand types for >= ("A" and "int") A(1) == 1 A(1) != 1 1 < A(1) # E: Unsupported operand types for > ("A" and "int") 1 <= A(1) # E: Unsupported operand types for >= ("A" and "int") 1 > A(1) # E: Unsupported operand types for < ("A" and "int") 1 >= A(1) # E: Unsupported operand types for <= ("A" and "int") 1 == A(1) 1 != A(1) [file a.py] from attr import attrib, attrs @attrs(auto_attribs=True) class A: a: int [builtins fixtures/plugin_attrs.pyi] [rechecked] [stale] [out2] main:2: note: Revealed type is "def (a: builtins.int) -> a.A" main:3: note: Revealed type is "def [_AT] (self: _AT`3, other: _AT`3) -> builtins.bool" main:4: note: Revealed type is "def [_AT] (self: _AT`4, other: _AT`4) -> builtins.bool" main:5: note: Revealed type is "def [_AT] (self: _AT`5, other: _AT`5) -> builtins.bool" main:6: note: Revealed type is "def [_AT] (self: _AT`6, other: _AT`6) -> builtins.bool" main:15: error: Unsupported operand types for < ("A" and "int") main:16: error: Unsupported operand types for <= ("A" and "int") main:17: error: Unsupported operand types for > ("A" and "int") main:18: error: Unsupported operand types for >= ("A" and "int") main:22: error: Unsupported operand types for > ("A" and "int") main:23: error: Unsupported operand types for >= ("A" and "int") main:24: error: Unsupported operand types for < ("A" and "int") main:25: error: Unsupported operand types for <= ("A" and "int") [case testAttrsIncrementalSubclassModified] from b import B B(5, 'foo') [file a.py] import attrs @attrs.define class A: x: int [file b.py] import attrs from a import A @attrs.define class B(A): y: str [file b.py.2] import attrs from a import A @attrs.define class B(A): y: int [builtins fixtures/list.pyi] [out1] [out2] main:2: error: Argument 2 to "B" has incompatible type "str"; expected "int" [rechecked b] [case testAttrsIncrementalSubclassModifiedErrorFirst] from b import B B(5, 'foo') [file a.py] import attrs @attrs.define class A: x: int [file b.py] import attrs from a import A @attrs.define class B(A): y: int [file b.py.2] import attrs from a import A @attrs.define class B(A): y: str [builtins fixtures/list.pyi] [out1] main:2: error: Argument 2 to "B" has incompatible type "str"; expected "int" [out2] [rechecked b] [case testAttrsIncrementalThreeFiles] from c import C C(5, 'foo', True) [file a.py] import attrs @attrs.define(slots=False) class A: a: int [file b.py] import attrs @attrs.define(slots=False) class B: b: str [file c.py] from a import A from b import B import attrs @attrs.define(slots=False) class C(A, B): c: bool [builtins fixtures/list.pyi] [out1] [out2] [case testAttrsIncrementalConverterInSubmodule] from a.a import A reveal_type(A) [file a/__init__.py] [file a/a.py] from typing import Optional def converter(s:Optional[int]) -> int: ... import attrs @attrs.define class A: x: int = attrs.field(converter=converter) [builtins fixtures/list.pyi] [out1] main:2: note: Revealed type is "def (x: Union[builtins.int, None]) -> a.a.A" [out2] main:2: note: Revealed type is "def (x: Union[builtins.int, None]) -> a.a.A" [case testAttrsIncrementalConverterManyStyles] import a [file a.py] from base import Base Base(1, 'str', True) Base(None, None, None) from subclass import A, B A(1, 'str', True) A(None, None, None) B(1, 'str', True, 1, 'str', True) B(None, None, None, None, None, None) from submodule.base import SubBase SubBase(1, 'str', True) SubBase(None, None, None) from submodule.subclass import AA, BB AA(1, 'str', True) AA(None, None, None) BB(1, 'str', True, 1, 'str', True) BB(None, None, None, None, None, None) from submodule.subsubclass import SubAA, SubBB SubAA(1, 'str', True) SubAA(None, None, None) SubBB(1, 'str', True, 1, 'str', True) SubBB(None, None, None, None, None, None) [file a.py.2] # Now with errors. from base import Base Base(1, 1, True) from subclass import A, B A(1, 1, True) B(1, 'str', True, 1, 1, True) from submodule.base import SubBase SubBase(1, 1, True) from submodule.subclass import AA, BB AA(1, 1, True) BB(1, 'str', True, 1, 1, True) from submodule.subsubclass import SubAA, SubBB SubAA(1, 1, True) SubBB(1, 'str', True, 1, 1, True) [file foo.py] from typing import Optional def maybe_int(x: Optional[int]) -> int: ... [file bar.py] from typing import Optional def maybe_bool(x: Optional[bool]) -> bool: ... [file base.py] from typing import Optional import attrs import bar from foo import maybe_int def maybe_str(x: Optional[str]) -> str: ... @attrs.define class Base: x: int = attrs.field(converter=maybe_int) y: str = attrs.field(converter=maybe_str) z: bool = attrs.field(converter=bar.maybe_bool) [file subclass.py] from typing import Optional import attrs from base import Base @attrs.define class A(Base): pass import bar from foo import maybe_int def maybe_str(x: Optional[str]) -> str: ... @attrs.define class B(Base): xx: int = attrs.field(converter=maybe_int) yy: str = attrs.field(converter=maybe_str) zz: bool = attrs.field(converter=bar.maybe_bool) [file submodule/__init__.py] [file submodule/base.py] from typing import Optional import attrs import bar from foo import maybe_int def maybe_str(x: Optional[str]) -> str: ... @attrs.define class SubBase: x: int = attrs.field(converter=maybe_int) y: str = attrs.field(converter=maybe_str) z: bool = attrs.field(converter=bar.maybe_bool) [file submodule/subclass.py] from typing import Optional import attrs from base import Base @attrs.define class AA(Base): pass import bar from foo import maybe_int def maybe_str(x: Optional[str]) -> str: ... @attrs.define class BB(Base): xx: int = attrs.field(converter=maybe_int) yy: str = attrs.field(converter=maybe_str) zz: bool = attrs.field(converter=bar.maybe_bool) [file submodule/subsubclass.py] from typing import Optional import attrs from .base import SubBase @attrs.define class SubAA(SubBase): pass import bar from foo import maybe_int def maybe_str(x: Optional[str]) -> str: ... @attrs.define class SubBB(SubBase): xx: int = attrs.field(converter=maybe_int) yy: str = attrs.field(converter=maybe_str) zz: bool = attrs.field(converter=bar.maybe_bool) [builtins fixtures/list.pyi] [out1] [out2] tmp/a.py:3: error: Argument 2 to "Base" has incompatible type "int"; expected "Optional[str]" tmp/a.py:6: error: Argument 2 to "A" has incompatible type "int"; expected "Optional[str]" tmp/a.py:7: error: Argument 5 to "B" has incompatible type "int"; expected "Optional[str]" tmp/a.py:10: error: Argument 2 to "SubBase" has incompatible type "int"; expected "Optional[str]" tmp/a.py:13: error: Argument 2 to "AA" has incompatible type "int"; expected "Optional[str]" tmp/a.py:14: error: Argument 5 to "BB" has incompatible type "int"; expected "Optional[str]" tmp/a.py:17: error: Argument 2 to "SubAA" has incompatible type "int"; expected "Optional[str]" tmp/a.py:18: error: Argument 5 to "SubBB" has incompatible type "int"; expected "Optional[str]" [case testAttrsIncrementalConverterInFunction] import attrs def foo() -> None: def foo(x: str) -> int: ... @attrs.define class A: x: int = attrs.field(converter=foo) reveal_type(A) [builtins fixtures/list.pyi] [out1] main:8: note: Revealed type is "def (x: builtins.str) -> __main__.A@6" [out2] main:8: note: Revealed type is "def (x: builtins.str) -> __main__.A@6" -- FIXME: new analyzer busted [case testAttrsIncrementalConverterInSubmoduleForwardRef-skip] from a.a import A reveal_type(A) [file a/__init__.py] [file a/a.py] from typing import List def converter(s:F) -> int: ... import attrs @attrs.define class A: x: int = attrs.field(converter=converter) F = List[int] [builtins fixtures/list.pyi] [out1] main:3: note: Revealed type is "def (x: builtins.list[builtins.int]) -> a.a.A" [out2] main:3: note: Revealed type is "def (x: builtins.list[builtins.int]) -> a.a.A" -- FIXME: new analyzer busted [case testAttrsIncrementalConverterType-skip] from a import C import attrs o = C("1", "2", "3", "4") o = C(1, 2, "3", 4) reveal_type(C) @attrs.define class D(C): x: str reveal_type(D) [file a.py] from typing import overload import attrs @attrs.define class A: x: str @overload def parse(x: int) -> int: ... @overload def parse(x: str, y: str = '') -> int: ... def parse(x, y): ... @attrs.define class C: a: complex = attrs.field(converter=complex) b: int = attrs.field(converter=int) c: A = attrs.field(converter=A) d: int = attrs.field(converter=parse) [builtins fixtures/plugin_attrs.pyi] [out1] main:6: note: Revealed type is "def (a: Union[builtins.float, builtins.str], b: Union[builtins.str, builtins.bytes, builtins.int], c: builtins.str, d: Union[builtins.int, builtins.str]) -> a.C" main:10: note: Revealed type is "def (a: Union[builtins.float, builtins.str], b: Union[builtins.str, builtins.bytes, builtins.int], c: builtins.str, d: Union[builtins.int, builtins.str], x: builtins.str) -> __main__.D" [out2] main:6: note: Revealed type is "def (a: Union[builtins.float, builtins.str], b: Union[builtins.str, builtins.bytes, builtins.int], c: builtins.str, d: Union[builtins.int, builtins.str]) -> a.C" main:10: note: Revealed type is "def (a: Union[builtins.float, builtins.str], b: Union[builtins.str, builtins.bytes, builtins.int], c: builtins.str, d: Union[builtins.int, builtins.str], x: builtins.str) -> __main__.D" [case testAttrsIncrementalThreeRuns] from a import A A(5) [file a.py] import attrs @attrs.define class A: a: int [file a.py.2] import attrs @attrs.define class A: a: str [file a.py.3] import attrs @attrs.define class A: a: int = 6 [builtins fixtures/list.pyi] [out1] [out2] main:2: error: Argument 1 to "A" has incompatible type "int"; expected "str" [out3] [case testDeletedDepLineNumber] # The import is not on line 1 and that data should be preserved import a [file a.py] [delete a.py.2] [out1] [out2] main:2: error: Cannot find implementation or library stub for module named "a" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testIncrementalInheritanceAddAnnotation] import a [file a.py] import b def foo() -> None: 1 + b.Bar().get() [file b.py] from c import Baz class Bar(Baz): pass [file c.py] class Baz: def get(self): return 1 [file c.py.2] from typing import Optional class Baz: def get(self) -> Optional[int]: return 1 [out] [out2] tmp/a.py:3: error: Unsupported operand types for + ("int" and "None") tmp/a.py:3: note: Right operand is of type "Optional[int]" [case testIncrementalMetaclassUpdate] import a [file a.py] from b import B B.x [file b.py] import c class B(metaclass=c.M): pass [file c.py] class M(type): x: int [file c.py.2] class M(type): y: int [out] [out2] tmp/a.py:2: error: "type[B]" has no attribute "x" [case testIncrementalLotsOfInheritance] import a [file a.py] from b import B from d import D def take(d: D) -> None: pass def foo() -> None: take(B()) [file b.py] from c import C class B(C): pass [file c.py] from d import D class C(D): pass [file c.py.2] from d import D class C: pass [file d.py] class D: pass [out] [out2] tmp/a.py:5: error: Argument 1 to "take" has incompatible type "B"; expected "D" [case testIncrementalInheritanceProperty] import a [file a.py] import b def foo() -> None: 1 + b.Bar().x [file b.py] from c import Baz class Bar(Baz): pass [file c.py] class Baz: def __init__(self) -> None: self.x = 12 # type: int [file c.py.2] class Baz: def __init__(self) -> None: self.x = 'lol' # type: str [out] [out2] tmp/a.py:3: error: Unsupported operand types for + ("int" and "str") [case testIncrementalWithIgnoresTwice] import a [file a.py] import b import foo # type: ignore [file b.py] x = 1 [file b.py.2] x = 'hi' [file b.py.3] x = 1 [builtins fixtures/module.pyi] [out] [out2] [out3] [case testIgnoredImport2] import x [file y.py] import xyz # type: ignore B = 0 from x import A [file x.py] A = 0 from y import B [file x.py.2] A = 1 from y import B [file x.py.3] A = 2 from y import B [out] [out2] [out3] [case testDeletionOfSubmoduleTriggersImportFrom2] from p.q import f f() [file p/__init__.py] [file p/q.py] def f() -> None: pass [delete p/q.py.2] [file p/q.py.3] def f(x: int) -> None: pass [out] [out2] main:1: error: Cannot find implementation or library stub for module named "p.q" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [out3] main:2: error: Missing positional argument "x" in call to "f" [case testDeleteIndirectDependency] import b b.x.foo() [file b.py] import c x = c.Foo() [file c.py] class Foo: def foo(self) -> None: pass [delete c.py.2] [file b.py.2] class Foo: def foo(self) -> None: pass x = Foo() [out] [out2] [case testImportReExportInCycle] from m import One [file m/__init__.py] from .one import One from .two import Two [file m/one.py] class One: pass [file m/two.py] import m class Two: pass [file m/one.py.2] class One: name: str [file m/two.py.2] import m reveal_type(m.One.name) class Two: pass [out2] tmp/m/two.py:2: note: Revealed type is "builtins.str" [case testImportUnusedIgnore1] # flags: --warn-unused-ignores import a [file a.py] import b import foo # type: ignore [file b.py] x = 1 [file b.py.2] x = '2' [case testImportUnusedIgnore2] # flags: --warn-unused-ignores import a [file a.py] import b import c # type: ignore [file b.py] x = 1 [file b.py.2] x = 'hi' [file c.py.3] pass [out] [out2] [out3] tmp/a.py:2: error: Unused "type: ignore" comment -- Test that a non cache_fine_grained run can use a fine-grained cache [case testRegularUsesFgCache] # flags: --config-file tmp/mypy.ini import a [file a.py] x = 0 [file mypy.ini] \[mypy] cache_fine_grained = True local_partial_types = True [file mypy.ini.2] \[mypy] cache_fine_grained = False local_partial_types = True -- Nothing should get rechecked [rechecked] [stale] [case testFgCacheNeedsFgCache] # flags: --config-file tmp/mypy.ini import a [file a.py] x = 0 [file mypy.ini] \[mypy] cache_fine_grained = False [file mypy.ini.2] \[mypy] cache_fine_grained = True [rechecked _typeshed, a, builtins, typing] [stale _typeshed, a, builtins, typing] [builtins fixtures/tuple.pyi] [case testIncrementalPackageNameOverload] # cmd: mypy -m main a # flags: --follow-imports=skip [file main.py] from a import x x.foo() [file a/__init__.py] pass [file a/__init__.py.2] x = 10 [file a/x.py] def foo() -> None: pass [out] [out2] tmp/main.py:2: error: "int" has no attribute "foo" [case testIncrementalFineGrainedCacheError1] # flags: --cache-fine-grained --no-sqlite-cache import a [file a.py] [file b.py] x = 0 [file a.py.2] from b import x 1 + 'lol' [out] [out2] tmp/a.py:2: error: Unsupported operand types for + ("int" and "str") [case testIncrementalBustedFineGrainedCache1] # flags: --cache-fine-grained --no-sqlite-cache import a import b [file a.py] [file b.py] -- This is a heinous hack, but we simulate having a invalid cache by clobbering -- the proto deps file with something with mtime mismatches. [file ../.mypy_cache/3.9/@deps.meta.json.2] {"snapshot": {"__main__": "a7c958b001a45bd6a2a320f4e53c4c16", "a": "d41d8cd98f00b204e9800998ecf8427e", "b": "d41d8cd98f00b204e9800998ecf8427e", "builtins": "c532c89da517a4b779bcf7a964478d67"}, "deps_meta": {"@root": {"path": "@root.deps.json", "mtime": 0}, "__main__": {"path": "__main__.deps.json", "mtime": 0}, "a": {"path": "a.deps.json", "mtime": 0}, "b": {"path": "b.deps.json", "mtime": 0}, "builtins": {"path": "builtins.deps.json", "mtime": 0}}} [file ../.mypy_cache/.gitignore] # Another hack to not trigger a .gitignore creation failure "false positive" [file ../.mypy_cache/CACHEDIR.TAG] Signature: 8a477f597d28d172789f06886806bc55 # Another another hack to not trigger a CACHEDIR.TAG creation failure "false positive" [file b.py.2] # uh -- Every file should get reloaded, since the cache was invalidated [stale _typeshed, a, b, builtins, typing] [rechecked _typeshed, a, b, builtins, typing] [builtins fixtures/tuple.pyi] [case testIncrementalBustedFineGrainedCache2] # flags2: --cache-fine-grained import a import b [file a.py] [file b.py] [file b.py.2] # uh -- Every file should get reloaded, since the settings changed [stale _typeshed, a, b, builtins, typing] [rechecked _typeshed, a, b, builtins, typing] [builtins fixtures/tuple.pyi] [case testIncrementalBustedFineGrainedCache3] # flags: --cache-fine-grained --no-sqlite-cache import a import b [file a.py] [file b.py] -- This is a heinous hack, but we simulate having a invalid cache by deleting -- the proto deps file. [delete ../.mypy_cache/3.9/@deps.meta.json.2] [file b.py.2] # uh -- Every file should get reloaded, since the cache was invalidated [stale _typeshed, a, b, builtins, typing] [rechecked _typeshed, a, b, builtins, typing] [builtins fixtures/tuple.pyi] [case testIncrementalWorkingFineGrainedCache] # flags: --cache-fine-grained # flags2: --cache-fine-grained import a import b [file a.py] [file b.py] [file b.py.2] # uh -- b gets rechecked because it changed, but nothing is stale -- since the interface did not change [stale] [rechecked b] [case testIncrementalDataclassesSubclassingCached] from a import A from dataclasses import dataclass @dataclass class B(A): e: str = 'e' a = B(5, [5], 'foo') a.a = 6 a._b = [2] a.c = 'yo' a._d = 22 a.e = 'hi' [file a.py] from dataclasses import dataclass, field from typing import ClassVar, List @dataclass class A: a: int _b: List[int] c: str = '18' _d: int = field(default=False) E = 7 F: ClassVar[int] = 22 [builtins fixtures/dataclasses.pyi] [out1] [out2] [case testIncrementalDataclassesSubclassingCachedType] import b [file b.py] from a import A from dataclasses import dataclass @dataclass class B(A): pass [file b.py.2] from a import A from dataclasses import dataclass @dataclass class B(A): pass reveal_type(B) [file a.py] from dataclasses import dataclass @dataclass class A: x: int [builtins fixtures/dataclasses.pyi] [out1] [out2] tmp/b.py:8: note: Revealed type is "def (x: builtins.int) -> b.B" [case testIncrementalDataclassesArguments] import b [file b.py] from a import Frozen, NoInit, NoCmp [file b.py.2] from a import Frozen, NoInit, NoCmp f = Frozen(5) f.x = 6 g = NoInit() Frozen(1) < Frozen(2) Frozen(1) <= Frozen(2) Frozen(1) > Frozen(2) Frozen(1) >= Frozen(2) NoCmp(1) < NoCmp(2) NoCmp(1) <= NoCmp(2) NoCmp(1) > NoCmp(2) NoCmp(1) >= NoCmp(2) [file a.py] from dataclasses import dataclass @dataclass(frozen=True, order=True) class Frozen: x: int @dataclass(init=False) class NoInit: x: int @dataclass(order=False) class NoCmp: x: int [builtins fixtures/dataclasses.pyi] [out1] [out2] tmp/b.py:4: error: Property "x" defined in "Frozen" is read-only tmp/b.py:13: error: Unsupported left operand type for < ("NoCmp") tmp/b.py:14: error: Unsupported left operand type for <= ("NoCmp") tmp/b.py:15: error: Unsupported left operand type for > ("NoCmp") tmp/b.py:16: error: Unsupported left operand type for >= ("NoCmp") [case testIncrementalDataclassesDunder] import b [file b.py] from a import A [file b.py.2] from a import A reveal_type(A) reveal_type(A.__eq__) reveal_type(A.__ne__) reveal_type(A.__lt__) reveal_type(A.__le__) reveal_type(A.__gt__) reveal_type(A.__ge__) A(1) < A(2) A(1) <= A(2) A(1) > A(2) A(1) >= A(2) A(1) == A(2) A(1) != A(2) A(1) < 1 A(1) <= 1 A(1) > 1 A(1) >= 1 A(1) == 1 A(1) != 1 1 < A(1) 1 <= A(1) 1 > A(1) 1 >= A(1) 1 == A(1) 1 != A(1) [file a.py] from dataclasses import dataclass @dataclass(order=True) class A: a: int [builtins fixtures/dataclasses.pyi] [out1] [out2] tmp/b.py:3: note: Revealed type is "def (a: builtins.int) -> a.A" tmp/b.py:4: note: Revealed type is "def (builtins.object, builtins.object) -> builtins.bool" tmp/b.py:5: note: Revealed type is "def (builtins.object, builtins.object) -> builtins.bool" tmp/b.py:6: note: Revealed type is "def [_DT] (self: _DT`1, other: _DT`1) -> builtins.bool" tmp/b.py:7: note: Revealed type is "def [_DT] (self: _DT`2, other: _DT`2) -> builtins.bool" tmp/b.py:8: note: Revealed type is "def [_DT] (self: _DT`3, other: _DT`3) -> builtins.bool" tmp/b.py:9: note: Revealed type is "def [_DT] (self: _DT`4, other: _DT`4) -> builtins.bool" tmp/b.py:18: error: Unsupported operand types for < ("A" and "int") tmp/b.py:19: error: Unsupported operand types for <= ("A" and "int") tmp/b.py:20: error: Unsupported operand types for > ("A" and "int") tmp/b.py:21: error: Unsupported operand types for >= ("A" and "int") tmp/b.py:25: error: Unsupported operand types for > ("A" and "int") tmp/b.py:26: error: Unsupported operand types for >= ("A" and "int") tmp/b.py:27: error: Unsupported operand types for < ("A" and "int") tmp/b.py:28: error: Unsupported operand types for <= ("A" and "int") [case testIncrementalDataclassesSubclassModified] from b import B B(5, 'foo') [file a.py] from dataclasses import dataclass @dataclass class A: x: int [file b.py] from a import A from dataclasses import dataclass @dataclass class B(A): y: str [file b.py.2] from a import A from dataclasses import dataclass @dataclass class B(A): y: int [builtins fixtures/dataclasses.pyi] [out1] [out2] main:2: error: Argument 2 to "B" has incompatible type "str"; expected "int" [rechecked b] [case testIncrementalDataclassesSubclassModifiedErrorFirst] from b import B B(5, 'foo') [file a.py] from dataclasses import dataclass @dataclass class A: x: int [file b.py] from a import A from dataclasses import dataclass @dataclass class B(A): y: int [file b.py.2] from a import A from dataclasses import dataclass @dataclass class B(A): y: str [builtins fixtures/dataclasses.pyi] [out1] main:2: error: Argument 2 to "B" has incompatible type "str"; expected "int" [out2] [rechecked b] [case testIncrementalDataclassesThreeFiles] from c import C C('foo', 5, True) [file a.py] from dataclasses import dataclass @dataclass class A: a: int [file b.py] from dataclasses import dataclass @dataclass class B: b: str [file b.py.2] from dataclasses import dataclass @dataclass class B: b: str c: str [file c.py] from a import A from b import B from dataclasses import dataclass @dataclass class C(A, B): c: bool [builtins fixtures/dataclasses.pyi] [out1] [out2] tmp/c.py:7: error: Incompatible types in assignment (expression has type "bool", base class "B" defined the type as "str") main:2: error: Argument 2 to "C" has incompatible type "int"; expected "bool" [case testIncrementalDataclassesThreeRuns] from a import A A(5) [file a.py] from dataclasses import dataclass @dataclass class A: a: int [file a.py.2] from dataclasses import dataclass @dataclass class A: a: str [file a.py.3] from dataclasses import dataclass @dataclass class A: a: int = 6 [builtins fixtures/dataclasses.pyi] [out1] [out2] main:2: error: Argument 1 to "A" has incompatible type "int"; expected "str" [out3] [case testParentPatchingMess] # flags: --ignore-missing-imports --follow-imports=skip # cmd: mypy -m d d.k d.k.a d.k.v t [file d/__init__.py] [file d/k/__init__.py] from d.k.a import x [file d/k/a.py] x = 10 [file d/k/v.py] from d.k.e import x [file t.py] from d import k [file t.py.2] from d import k # dummy change [case testCachedBadProtocolNote] import b [file a.py] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) [file b.py] from typing import Iterable from a import Point p: Point it: Iterable[int] = p [file b.py.2] from typing import Iterable from a import Point p: Point it: Iterable[int] = p # change [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [out] tmp/b.py:4: error: Incompatible types in assignment (expression has type "Point", variable has type "Iterable[int]") tmp/b.py:4: note: Following member(s) of "Point" have conflicts: tmp/b.py:4: note: Expected: tmp/b.py:4: note: def __iter__(self) -> Iterator[int] tmp/b.py:4: note: Got: tmp/b.py:4: note: def __iter__(self) -> Iterator[str] [out2] tmp/b.py:4: error: Incompatible types in assignment (expression has type "Point", variable has type "Iterable[int]") tmp/b.py:4: note: Following member(s) of "Point" have conflicts: tmp/b.py:4: note: Expected: tmp/b.py:4: note: def __iter__(self) -> Iterator[int] tmp/b.py:4: note: Got: tmp/b.py:4: note: def __iter__(self) -> Iterator[str] [case testIndirectDepsAlwaysPatched-writescache] # flags: --no-incremental # flags2: --incremental from b import C def f() -> None: x: int = C().x [file b.py] from c import C [file c.pyi] class C: x: int [file c.pyi.2] class C: x: str [out] [out2] main:5: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testBazelFlagIgnoresFileChanges-skip] -- This test fails on windows, when the mypy source in on a different drive than -- the run-directory. In this case os.path.relpath(...) fails with an exception -- Since the initial run wrote a cache file, the second run ignores the source # flags: --bazel from a import f f() [file a.py] def f(): pass [file a.py.2] [out] [out2] [case testModuleGetattrInitIncremental] import c [file c.py] import a.b x = a.b.f() [file c.py.2] import a.b x = a.b.f() # touch [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [out2] [case testModuleGetattrInitIncremental2] import c [file c.py] import a.b.c [file c.py.2] import a.b.c # touch [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [file a/b.pyi] # empty [builtins fixtures/module.pyi] [out] tmp/c.py:1: error: Cannot find implementation or library stub for module named "a.b.c" tmp/c.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [out2] tmp/c.py:1: error: Cannot find implementation or library stub for module named "a.b.c" tmp/c.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testModuleGetattrIncrementalSerializeVarFlag] import main [file main.py] from b import A, f f() [file main.py.3] from b import A, f # foo f() [file b.py] from c import A def f() -> A: ... [file b.py.2] from c import A # foo def f() -> A: ... [file c.py] from d import A [file d.pyi] def __getattr__(n): ... [out1] [out2] [out3] [case testAddedMissingStubs] # flags: --ignore-missing-imports from missing import f f(int()) [file missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddedMissingStubsPackage] # flags: --ignore-missing-imports import package.missing package.missing.f(int()) [file package/__init__.pyi.2] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddedMissingStubsPackageFrom] # flags: --ignore-missing-imports from package import missing missing.f(int()) [file package/__init__.pyi.2] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddedMissingStubsPackagePartial] # flags: --ignore-missing-imports import package.missing package.missing.f(int()) [file package/__init__.pyi] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddedMissingStubsPackagePartialGetAttr] import package.missing package.missing.f(int()) [file package/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [file package/missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddedMissingStubsIgnore] from missing import f # type: ignore f(int()) [file missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddedMissingStubsIgnorePackage] import package.missing # type: ignore package.missing.f(int()) [file package/__init__.pyi.2] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddedMissingStubsIgnorePackageFrom] from package import missing # type: ignore missing.f(int()) [file package/__init__.pyi.2] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddedMissingStubsIgnorePackagePartial] import package.missing # type: ignore package.missing.f(int()) [file package/__init__.pyi] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] [out2] main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" -- Test cases for final qualifier [case testFinalAddFinalVarAssign] import mod from a import D from mod import x mod.x = 2 # This an all below are errors. x = 2 d: D d.y = 2 d.z = 2 D.y = 2 [file a.py] import mod class D(mod.C): pass [file mod.py] x = 1 class C: y = 1 def __init__(self) -> None: self.z = 1 [file mod.py.2] from typing import Final x: Final = 1 class C: y: Final = 1 def __init__(self) -> None: self.z: Final = 1 [out] [out2] main:5: error: Cannot assign to final name "x" main:6: error: Cannot assign to final name "x" main:8: error: Cannot assign to final attribute "y" main:9: error: Cannot assign to final attribute "z" main:10: error: Cannot assign to final attribute "y" [case testFinalAddFinalVarOverride] from mod import C class D(C): x = 2 def __init__(self) -> None: self.y = 2 class E(C): y = 2 def __init__(self) -> None: self.x = 2 [file mod.py] class C: x = 1 def __init__(self) -> None: self.y = 1 [file mod.py.2] from typing import Final class C: x: Final = 1 def __init__(self) -> None: self.y: Final = 1 [out] [out2] main:4: error: Cannot assign to final name "x" main:6: error: Cannot assign to final attribute "y" main:8: error: Cannot assign to final name "y" main:10: error: Cannot assign to final attribute "x" [case testFinalAddFinalMethodOverride] from mod import C class D(C): def meth(self) -> int: ... [file mod.py] class C: def meth(self) -> int: ... [file mod.py.2] from typing import final class C: @final def meth(self) -> int: ... [out] [out2] main:4: error: Cannot override final attribute "meth" (previously declared in base class "C") -- These tests should just not crash [case testOverrideByBadVar] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] class Slow: pass s: Slow from cext import Slow # type: ignore [out] [out2] [case testOverrideByBadVarAlias] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] class Slow: pass A = Slow from cext import Slow # type: ignore [out] [out2] [case testOverrideByBadVarClass] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] class C: class Slow: pass s: Slow from cext import Slow # type: ignore [out] [out2] [case testOverrideByBadVarClassAlias] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] class C: class Slow: pass A = Slow from cext import Slow # type: ignore [out] [out2] [case testOverrideByBadVarExisting] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] class Slow: pass s: Slow from cext import Slow # type: ignore [file cext.py] Slow = 1 [out] [out2] [case testOverrideByBadVarAliasExisting] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] class Slow: pass A = Slow from cext import Slow # type: ignore [file cext.py] Slow = 1 [out] [out2] [case testOverrideByBadFunction] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] class C: class Slow: pass s: Slow def Slow() -> None: ... # type: ignore [out] [out2] [case testOverrideByBadVarLocal] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] def outer() -> None: class Slow: pass s: Slow from cext import Slow # type: ignore [out] [out2] [case testRecursiveAliasImported] import a [file a.py] import lib x: int [file a.py.2] import lib x: lib.A reveal_type(x) [file lib.pyi] from typing import List MYPY = False if MYPY: # Force processing order from other import B A = List[B] # type: ignore [file other.pyi] from typing import List from lib import A B = List[A] [builtins fixtures/list.pyi] [out] [out2] tmp/a.py:3: note: Revealed type is "builtins.list[builtins.list[...]]" [case testRecursiveNamedTupleTypedDict] import a [file a.py] import lib x: int [file a.py.2] import lib x: lib.A reveal_type(x.x['x']) [file lib.pyi] from typing import NamedTuple from other import B A = NamedTuple('A', [('x', B)]) [file other.pyi] from typing import TypedDict from lib import A B = TypedDict('B', {'x': A}) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] tmp/a.py:3: note: Revealed type is "tuple[TypedDict('other.B', {'x': tuple[..., fallback=lib.A]}), fallback=lib.A]" [case testFollowImportSkipNotInvalidatedOnPresent] # flags: --follow-imports=skip # cmd: mypy -m main [file main.py] import other [file other.py] x = 1 [file other.py.2] x = 'hi' [stale] [rechecked] [case testFollowImportSkipNotInvalidatedOnPresentPackage] # flags: --follow-imports=skip # cmd: mypy -m main [file main.py] import other [file other/__init__.py] x = 1 [file other/__init__.py.2] x = 'hi' [stale] [rechecked] [case testFollowImportSkipNotInvalidatedOnAdded] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy -m main [file main.py] import other [file other.py.2] x = 1 [stale] [rechecked] [case testFollowImportSkipInvalidatedOnAddedStub] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy -m main [file main.py] import other [file other.pyi.2] x = 1 [stale main, other] [rechecked main, other] [case testFollowImportSkipNotInvalidatedOnAddedStubOnFollowForStubs] # flags: --follow-imports=skip --ignore-missing-imports --config-file=tmp/mypy.ini # cmd: mypy -m main [file main.py] import other [file other.pyi.2] x = 1 [file mypy.ini] \[mypy] follow_imports_for_stubs = True [stale] [rechecked] [case testAddedSkippedStubsPackageFrom] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy -m main # cmd2: mypy -m main package package.missing [file main.py] from package import missing missing.f(int()) [file package/__init__.py] [file package/missing.py] def f(x: str) -> None: pass [out] [out2] tmp/main.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testOverrideByIdemAlias] # https://github.com/python/mypy/issues/6404 import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] C = C # type: ignore class C: # type: ignore pass [out] [out2] [case testOverrideByIdemAliasReversed] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] class C: pass C = C # type: ignore x: C [out] [out2] [case testOverrideByIdemAliasGeneric] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] from typing import Generic, TypeVar T = TypeVar('T') class C(Generic[T]): pass C = C[int] # type: ignore x: C [out] [out2] [case testOverrideByIdemAliasImported] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] from other import C C = C # type: ignore x: C [file other.py] class C: pass [out] [out2] [case testOverrideByIdemAliasImportedReversed] import a [file a.py] import lib x = 1 [file a.py.2] import lib x = 2 [file lib.py] C = C # type: ignore from other import C [file other.py] class C: pass [out] [out2] [case testConditionalExceptionAliasOverride] import a [file a.py] import lib try: x = 1 except lib.Exception as e: pass [file a.py.2] import lib try: x = 2 except lib.Exception as e: pass [file lib.py] try: Exception = Exception except BaseException: class Exception(BaseException): pass # type: ignore try: pass except Exception as e: pass [builtins fixtures/exception.pyi] [out] [out2] [case testBadEnumLoading] import a [file a.py] from b import E x: E y = 1 [file a.py.2] from b import E x: E y = 2 [file b.py] from typing import List from enum import Enum def f() -> List[str]: ... E = Enum('E', f()) # type: ignore [builtins fixtures/list.pyi] [out] [out2] [case testChangedPluginsInvalidateCache] # flags: --config-file tmp/mypy.ini import a [file a.py] from b import x y: int = x [file a.py.2] from b import x y: int = x touch = 1 [file b.py] class C: ... def f() -> C: ... x = f() [file basic_plugin.py] from mypy.plugin import Plugin class MyPlugin(Plugin): def get_function_hook(self, fullname): if fullname.endswith('.f'): return my_hook assert fullname is not None return None def my_hook(ctx): return ctx.api.named_generic_type('builtins.int', []) def plugin(version): return MyPlugin [file basic_plugin.py.2] from mypy.plugin import Plugin class MyPlugin(Plugin): def get_function_hook(self, fullname): if fullname.endswith('.f'): return my_hook assert fullname is not None return None def my_hook(ctx): return ctx.api.named_generic_type('builtins.str', []) def plugin(version): return MyPlugin [file mypy.ini] \[mypy] plugins=basic_plugin.py [out] [out2] tmp/a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testChangedPluginsInvalidateCache2] # flags: --config-file tmp/mypy.ini import a [file a.py] from b import x y: int = x [file a.py.2] from b import x y: int = x touch = 1 [file b.py] class C: ... def f() -> C: ... x = f() [file basic_plugin.py] from mypy.plugin import Plugin from version_plugin import __version__, choice class MyPlugin(Plugin): def get_function_hook(self, fullname): if fullname.endswith('.f'): return my_hook assert fullname is not None return None def my_hook(ctx): if choice: return ctx.api.named_generic_type('builtins.int', []) else: return ctx.api.named_generic_type('builtins.str', []) def plugin(version): return MyPlugin [file version_plugin.py] __version__ = 0.1 choice = True [file version_plugin.py.2] __version__ = 0.2 choice = False [file mypy.ini] \[mypy] plugins=basic_plugin.py [out] [out2] tmp/a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testAddedPluginsInvalidateCache] # flags: --config-file tmp/mypy.ini import a [file a.py] from b import x y: int = x [file a.py.2] from b import x y: int = x touch = 1 [file b.py] def f() -> int: ... x = f() [file basic_plugin.py] from mypy.plugin import Plugin class MyPlugin(Plugin): def get_function_hook(self, fullname): if fullname.endswith('.f'): return my_hook assert fullname is not None return None def my_hook(ctx): return ctx.api.named_generic_type('builtins.str', []) def plugin(version): return MyPlugin [file mypy.ini] \[mypy] python_version=3.6 [file mypy.ini.2] \[mypy] python_version=3.6 plugins=basic_plugin.py [out] [out2] tmp/a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testRemovedPluginsInvalidateCache] # flags: --config-file tmp/mypy.ini import a [file a.py] from b import x y: str = x [file a.py.2] from b import x y: str = x touch = 1 [file b.py] def f() -> int: ... x = f() [file basic_plugin.py] from mypy.plugin import Plugin class MyPlugin(Plugin): def get_function_hook(self, fullname): if fullname.endswith('.f'): return my_hook assert fullname is not None return None def my_hook(ctx): return ctx.api.named_generic_type('builtins.str', []) def plugin(version): return MyPlugin [file mypy.ini] \[mypy] python_version=3.6 plugins=basic_plugin.py [file mypy.ini.2] \[mypy] python_version=3.6 [out] [out2] tmp/a.py:2: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testPluginConfigData] # flags: --config-file tmp/mypy.ini import a import b [file a.py] [file b.py] [file test.json] {"a": false, "b": false} [file test.json.2] {"a": true, "b": false} [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/config_data.py # The config change will force a to be rechecked but not b. [rechecked a] [case testLiteralIncrementalTurningIntoLiteral] import mod reveal_type(mod.a) [file mod.py] from typing import Literal a = 1 [file mod.py.2] from typing import Literal a: Literal[2] = 2 [builtins fixtures/tuple.pyi] [out] main:2: note: Revealed type is "builtins.int" [out2] main:2: note: Revealed type is "Literal[2]" [case testAddedSubStarImport] # cmd: mypy -m a pack pack.mod b # cmd2: mypy -m other [file a.py] from pack import * [file pack/__init__.py] [file pack/mod.py] [file b.py] import pack.mod [file other.py] import a [out] [out2] [case testNewAnalyzerIncrementalBrokenNamedTuple] import a [file a.py] from b import NT x: NT [file a.py.2] from b import NT x: NT reveal_type(x) [file b.py] from typing import NamedTuple NT = NamedTuple('BadName', [('x', int)]) [builtins fixtures/tuple.pyi] [out] tmp/b.py:2: error: First argument to namedtuple() should be "NT", not "BadName" [out2] tmp/b.py:2: error: First argument to namedtuple() should be "NT", not "BadName" tmp/a.py:3: note: Revealed type is "tuple[builtins.int, fallback=b.NT]" [case testNewAnalyzerIncrementalBrokenNamedTupleNested] import a [file a.py] from b import C x: C [file a.py.2] from b import C x: C # touch [file b.py] class C: ... from collections import namedtuple def test() -> None: NT = namedtuple('BadName', ['x', 'y']) [builtins fixtures/list.pyi] [out] tmp/b.py:4: error: First argument to namedtuple() should be "NT", not "BadName" [out2] tmp/b.py:4: error: First argument to namedtuple() should be "NT", not "BadName" [case testNewAnalyzerIncrementalMethodNamedTuple] import a [file a.py] from b import C x: C [file a.py.2] from b import C x: C reveal_type(x.h) [file b.py] from typing import NamedTuple class C: def __init__(self) -> None: self.h: Hidden Hidden = NamedTuple('Hidden', [('x', int)]) [builtins fixtures/tuple.pyi] [out] [out2] tmp/a.py:3: note: Revealed type is "tuple[builtins.int, fallback=b.C.Hidden@5]" [case testIncrementalNodeCreatedFromGetattr] import a [file a.py] from b import C c: C [file b.py] from c import C [file c.pyi] def __getattr__(s): ... [file a.py.2] from b import C c: C reveal_type(c) [out] [out2] tmp/a.py:3: note: Revealed type is "Any" [case testNewAnalyzerIncrementalNestedEnum] import a [file a.py] from b import C x: C [file a.py.2] from b import C x: C # touch [file b.py] class C: ... from enum import Enum def test() -> None: Color = Enum('Color', 'RED BLACK') [builtins fixtures/list.pyi] [out] [out2] [case testCannotDetermineTypeFromOtherModule] import aa [file aa.py] import a [file aa.py.2] import a # dummy [file a.py] from b import Sub Sub().foo Sub().foo [file b.py] from typing import Any class desc: def __get__(self, _: Any, __: Any = None) -> int: return 42 class Base: @property def foo(self) -> int: ... class Sub(Base): foo = desc(42) # type: ignore [builtins fixtures/property.pyi] [out] [out2] [case testRedefinitionClass] import b [file a.py] from whatever import Foo # type: ignore class Foo: # type: ignore def f(self) -> None: pass [file b.py] import a [file b.py.2] import a # a change [case testIsInstanceAdHocIntersectionIncrementalNoChange] import b [file a.py] class A: pass class B: pass class Foo: def __init__(self) -> None: x: A assert isinstance(x, B) self.x = x [file b.py] from a import Foo [file b.py.2] from a import Foo reveal_type(Foo().x) [builtins fixtures/isinstance.pyi] [out] [out2] tmp/b.py:2: note: Revealed type is "a." [case testIsInstanceAdHocIntersectionIncrementalNoChangeSameName] import b [file c.py] class B: pass [file a.py] import c class B: pass class Foo: def __init__(self) -> None: x: c.B assert isinstance(x, B) self.x = x [file b.py] from a import Foo [file b.py.2] from a import Foo reveal_type(Foo().x) [builtins fixtures/isinstance.pyi] [out] [out2] tmp/b.py:2: note: Revealed type is "a." [case testIsInstanceAdHocIntersectionIncrementalNoChangeTuple] import b [file a.py] from typing import Tuple class B: pass class Foo: def __init__(self) -> None: x: Tuple[int, ...] assert isinstance(x, B) self.x = x [file b.py] from a import Foo [file b.py.2] from a import Foo reveal_type(Foo().x) [builtins fixtures/isinstance.pyi] [out] [out2] tmp/b.py:2: note: Revealed type is "a." [case testIsInstanceAdHocIntersectionIncrementalIsInstanceChange] import c [file a.py] class A: pass class B: pass class C: pass class Foo: def __init__(self) -> None: x: A assert isinstance(x, B) self.x = x [file a.py.2] class A: pass class B: pass class C: pass class Foo: def __init__(self) -> None: x: A assert isinstance(x, C) self.x = x [file b.py] from a import Foo y = Foo().x [file c.py] from b import y reveal_type(y) [builtins fixtures/isinstance.pyi] [out] tmp/c.py:2: note: Revealed type is "a." [out2] tmp/c.py:2: note: Revealed type is "a." [case testIsInstanceAdHocIntersectionIncrementalUnderlyingObjChang] import c [file a.py] class A: pass class B: pass class C: pass Extra = B [file a.py.2] class A: pass class B: pass class C: pass Extra = C [file b.py] from a import A, Extra x: A if isinstance(x, Extra): y = x [file c.py] from b import y reveal_type(y) [builtins fixtures/isinstance.pyi] [out] tmp/c.py:2: note: Revealed type is "b." [out2] tmp/c.py:2: note: Revealed type is "b." [case testIsInstanceAdHocIntersectionIncrementalIntersectionToUnreachable] import c [file a.py] class A: x: int class B: x: int x: A assert isinstance(x, B) y = x [file a.py.2] class A: x: int class B: x: str x: A assert isinstance(x, B) y = x [file b.py] from a import y z = y [file c.py] from b import z reveal_type(z) [builtins fixtures/isinstance.pyi] [out] tmp/c.py:2: note: Revealed type is "a." [out2] tmp/b.py:2: error: Cannot determine type of "y" tmp/c.py:2: note: Revealed type is "Any" [case testIsInstanceAdHocIntersectionIncrementalUnreachaableToIntersection] import c [file a.py] class A: x: int class B: x: str x: A assert isinstance(x, B) y = x [file a.py.2] class A: x: int class B: x: int x: A assert isinstance(x, B) y = x [file b.py] from a import y z = y [file c.py] from b import z reveal_type(z) [builtins fixtures/isinstance.pyi] [out] tmp/b.py:2: error: Cannot determine type of "y" tmp/c.py:2: note: Revealed type is "Any" [out2] tmp/c.py:2: note: Revealed type is "a." [case testIsInstanceAdHocIntersectionIncrementalNestedClass] import b [file a.py] class A: class B: ... class C: ... class D: def __init__(self) -> None: x: A.B assert isinstance(x, A.C) self.x = x [file b.py] from a import A [file b.py.2] from a import A reveal_type(A.D.x) [builtins fixtures/isinstance.pyi] [out] [out2] tmp/b.py:2: note: Revealed type is "a." [case testIsInstanceAdHocIntersectionIncrementalUnions] import c [file a.py] import b class A: p: b.D class B: p: b.D class C: p: b.D c: str x: A assert isinstance(x, (B, C)) y = x [file b.py] class D: p: int [file c.py] from a import y [file c.py.2] from a import y, C reveal_type(y) reveal_type(y.p.p) assert isinstance(y, C) reveal_type(y.c) [builtins fixtures/isinstance.pyi] [out] [out2] tmp/c.py:2: note: Revealed type is "Union[a., a.]" tmp/c.py:3: note: Revealed type is "builtins.int" tmp/c.py:5: note: Revealed type is "builtins.str" [case testStubFixupIssues] import a [file a.py] import p [file a.py.2] import p p.N [file p/__init__.pyi] from p.util import * [file p/util.pyi] from p.params import N class Test: ... x: N [file p/params.pyi] import p.util class N(p.util.Test): ... [out2] tmp/a.py:2: error: "object" has no attribute "N" [case testIncrementalIndirectSkipWarnUnused] # flags: --follow-imports=skip --warn-unused-ignores # cmd: mypy -m main a b c1 # cmd2: mypy -m main a b c2 [file main.py] import a a.foo.bar() [file a.py] import b foo = b.Foo() [file b.py] from c1 import C class Foo: def bar(self) -> C: return C() [file c1.py] class C: pass [file b.py.2] from c2 import C class Foo: def bar(self) -> C: return C() [file c2.py] [delete c1.py.2] [file c2.py.2] class C: pass [case testIncrementalNestedNamedTuple] import a [file a.py] import b [file a.py.2] import b # foo [file b.py] from typing import NamedTuple def f() -> None: class NT(NamedTuple): x: int n: NT = NT(x=2) def g() -> None: NT = NamedTuple('NT', [('y', str)]) n: NT = NT(y='x') [builtins fixtures/tuple.pyi] [case testIncrementalNestedTypeAlias] import a [file a.py] import b [file a.py.2] import b reveal_type(b.C().x) reveal_type(b.D().x) [file b.py] from typing import List class C: def __init__(self) -> None: Alias = List[int] self.x = [] # type: Alias class D: def __init__(self) -> None: Alias = List[str] self.x = [] # type: Alias [builtins fixtures/list.pyi] [out2] tmp/a.py:2: note: Revealed type is "builtins.list[builtins.int]" tmp/a.py:3: note: Revealed type is "builtins.list[builtins.str]" [case testIncrementalNamespacePackage1] # flags: --namespace-packages import m [file m.py] from foo.bar import x x + 0 [file foo/bar.py] x = 0 [rechecked] [stale] [case testIncrementalNamespacePackage2] # flags: --namespace-packages import m [file m.py] from foo import bar bar.x + 0 [file foo/bar.py] x = 0 [rechecked] [stale] [case testExplicitReexportImportCycleWildcard] # flags: --no-implicit-reexport import pkg.a [file pkg/__init__.pyi] [file pkg/a.pyi] MYPY = False if MYPY: from pkg.b import B [file pkg/b.pyi] import pkg.a MYPY = False if MYPY: from pkg.c import C class B: pass [file pkg/c.pyi] from pkg.a import * class C: pass [rechecked] [stale] [case testEnumAreStillFinalAfterCache] import a class Ok(a.RegularEnum): x = 1 class NotOk(a.FinalEnum): x = 1 [file a.py] from enum import Enum class RegularEnum(Enum): x: int class FinalEnum(Enum): x = 1 [builtins fixtures/isinstance.pyi] [out] main:3: error: Cannot override writable attribute "x" with a final one main:3: error: Incompatible types in assignment (expression has type "Ok", base class "RegularEnum" defined the type as "int") main:4: error: Cannot extend enum with existing members: "FinalEnum" main:5: error: Cannot override final attribute "x" (previously declared in base class "FinalEnum") [out2] main:3: error: Cannot override writable attribute "x" with a final one main:3: error: Incompatible types in assignment (expression has type "Ok", base class "RegularEnum" defined the type as "int") main:4: error: Cannot extend enum with existing members: "FinalEnum" main:5: error: Cannot override final attribute "x" (previously declared in base class "FinalEnum") [case testSlotsSerialization] import a [file a.py] from b import C class D(C): pass [file b.py] class C: __slots__ = ('x',) [file a.py.2] from b import C class D(C): __slots__ = ('y',) def __init__(self) -> None: self.x = 1 self.y = 2 self.z = 3 [builtins fixtures/tuple.pyi] [out] [out2] tmp/a.py:9: error: Trying to assign name "z" that is not in "__slots__" of type "a.D" [case testMethodAliasIncremental] import b [file a.py] class A: def f(self) -> None: pass g = f [file b.py] from a import A A().g() [file b.py.2] # trivial change from a import A A().g() [out] [out2] [case testIncrementalWithDifferentKindsOfNestedTypesWithinMethod] import a [file a.py] import b [file a.py.2] import b b.xyz [file b.py] from typing import NamedTuple, NewType, TypedDict from typing_extensions import TypeAlias from enum import Enum from dataclasses import dataclass class C: def f(self) -> None: class C: c: int class NT1(NamedTuple): c: int NT2 = NamedTuple("NT2", [("c", int)]) class NT3(NT1): pass class TD(TypedDict): c: int TD2 = TypedDict("TD2", {"c": int}) class E(Enum): X = 1 @dataclass class DC: c: int Alias: TypeAlias = NT1 N = NewType("N", NT1) c: C = C() nt1: NT1 = NT1(c=1) nt2: NT2 = NT2(c=1) nt3: NT3 = NT3(c=1) td: TD = TD(c=1) td2: TD2 = TD2(c=1) e: E = E.X dc: DC = DC(c=1) al: Alias = Alias(c=1) n: N = N(NT1(c=1)) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out2] tmp/a.py:2: error: "object" has no attribute "xyz" [case testIncrementalInvalidNamedTupleInUnannotatedFunction] # flags: --disable-error-code=annotation-unchecked import a [file a.py] import b [file a.py.2] import b # f [file b.py] from typing import NamedTuple def toplevel(fields): TupleType = NamedTuple("TupleType", fields) class InheritFromTuple(TupleType): pass NT2 = NamedTuple("bad", [('x', int)]) nt2: NT2 = NT2(x=1) class C: def method(self, fields): TupleType = NamedTuple("TupleType", fields) class InheritFromTuple(TupleType): pass NT2 = NamedTuple("bad", [('x', int)]) nt2: NT2 = NT2(x=1) [builtins fixtures/tuple.pyi] [case testNamedTupleUpdateNonRecursiveToRecursiveCoarse] import c [file a.py] from b import M from typing import NamedTuple, Optional class N(NamedTuple): r: Optional[M] x: int n: N [file b.py] from a import N from typing import NamedTuple class M(NamedTuple): r: None x: int [file b.py.2] from a import N from typing import NamedTuple, Optional class M(NamedTuple): r: Optional[N] x: int [file c.py] import a def f(x: a.N) -> None: if x.r is not None: s: int = x.r.x [file c.py.3] import a def f(x: a.N) -> None: if x.r is not None and x.r.r is not None and x.r.r.r is not None: reveal_type(x) s: int = x.r.r.r.r f(a.n) reveal_type(a.n) [builtins fixtures/tuple.pyi] [out] [out2] [out3] tmp/c.py:4: note: Revealed type is "tuple[Union[tuple[Union[..., None], builtins.int, fallback=b.M], None], builtins.int, fallback=a.N]" tmp/c.py:5: error: Incompatible types in assignment (expression has type "Optional[N]", variable has type "int") tmp/c.py:7: note: Revealed type is "tuple[Union[tuple[Union[..., None], builtins.int, fallback=b.M], None], builtins.int, fallback=a.N]" [case testTupleTypeUpdateNonRecursiveToRecursiveCoarse] import c [file a.py] from b import M from typing import Tuple, Optional class N(Tuple[Optional[M], int]): ... [file b.py] from a import N from typing import Tuple class M(Tuple[None, int]): ... [file b.py.2] from a import N from typing import Tuple, Optional class M(Tuple[Optional[N], int]): ... [file c.py] import a def f(x: a.N) -> None: if x[0] is not None: s: int = x[0][1] [file c.py.3] import a def f(x: a.N) -> None: if x[0] is not None and x[0][0] is not None and x[0][0][0] is not None: reveal_type(x) s: int = x[0][0][0][0] [builtins fixtures/tuple.pyi] [out] [out2] [out3] tmp/c.py:4: note: Revealed type is "tuple[Union[tuple[Union[..., None], builtins.int, fallback=b.M], None], builtins.int, fallback=a.N]" tmp/c.py:5: error: Incompatible types in assignment (expression has type "Optional[N]", variable has type "int") [case testTypeAliasUpdateNonRecursiveToRecursiveCoarse] import c [file a.py] from b import M from typing import Tuple, Optional N = Tuple[Optional[M], int] [file b.py] from a import N from typing import Tuple M = Tuple[None, int] [file b.py.2] from a import N from typing import Tuple, Optional M = Tuple[Optional[N], int] [file c.py] import a def f(x: a.N) -> None: if x[0] is not None: s: int = x[0][1] [file c.py.3] import a def f(x: a.N) -> None: if x[0] is not None and x[0][0] is not None and x[0][0][0] is not None: reveal_type(x) s: int = x[0][0][0][0] [builtins fixtures/tuple.pyi] [out] [out2] [out3] tmp/c.py:4: note: Revealed type is "tuple[Union[tuple[Union[..., None], builtins.int], None], builtins.int]" tmp/c.py:5: error: Incompatible types in assignment (expression has type "Optional[N]", variable has type "int") [case testTypedDictUpdateNonRecursiveToRecursiveCoarse] import c [file a.py] from b import M from typing import TypedDict, Optional class N(TypedDict): r: Optional[M] x: int n: N [file b.py] from a import N from typing import TypedDict class M(TypedDict): r: None x: int [file b.py.2] from a import N from typing import TypedDict, Optional class M(TypedDict): r: Optional[N] x: int [file c.py] import a def f(x: a.N) -> None: if x["r"] is not None: s: int = x["r"]["x"] [file c.py.3] import a def f(x: a.N) -> None: if x["r"] is not None and x["r"]["r"] is not None and x["r"]["r"]["r"] is not None: reveal_type(x) s: int = x["r"]["r"]["r"]["r"] f(a.n) reveal_type(a.n) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] [out3] tmp/c.py:4: note: Revealed type is "TypedDict('a.N', {'r': Union[TypedDict('b.M', {'r': Union[..., None], 'x': builtins.int}), None], 'x': builtins.int})" tmp/c.py:5: error: Incompatible types in assignment (expression has type "Optional[N]", variable has type "int") tmp/c.py:7: note: Revealed type is "TypedDict('a.N', {'r': Union[TypedDict('b.M', {'r': Union[..., None], 'x': builtins.int}), None], 'x': builtins.int})" [case testIncrementalAddClassMethodPlugin] # flags: --config-file tmp/mypy.ini import b [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/add_classmethod.py [file a.py] class BaseAddMethod: pass class MyClass(BaseAddMethod): pass [file b.py] import a [file b.py.2] import a my_class = a.MyClass() reveal_type(a.MyClass.foo_classmethod) reveal_type(a.MyClass.foo_staticmethod) reveal_type(my_class.foo_classmethod) reveal_type(my_class.foo_staticmethod) [rechecked b] [out2] tmp/b.py:4: note: Revealed type is "def ()" tmp/b.py:5: note: Revealed type is "def (builtins.int) -> builtins.str" tmp/b.py:6: note: Revealed type is "def ()" tmp/b.py:7: note: Revealed type is "def (builtins.int) -> builtins.str" [case testIncrementalAddOverloadedMethodPlugin] # flags: --config-file tmp/mypy.ini import b [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/add_overloaded_method.py [file a.py] class AddOverloadedMethod: pass class MyClass(AddOverloadedMethod): pass [file b.py] import a [file b.py.2] import a reveal_type(a.MyClass.method) reveal_type(a.MyClass.clsmethod) reveal_type(a.MyClass.stmethod) my_class = a.MyClass() reveal_type(my_class.method) reveal_type(my_class.clsmethod) reveal_type(my_class.stmethod) [rechecked b] [out2] tmp/b.py:3: note: Revealed type is "Overload(def (self: a.MyClass, arg: builtins.int) -> builtins.str, def (self: a.MyClass, arg: builtins.str) -> builtins.int)" tmp/b.py:4: note: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" tmp/b.py:5: note: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" tmp/b.py:8: note: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" tmp/b.py:9: note: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" tmp/b.py:10: note: Revealed type is "Overload(def (arg: builtins.int) -> builtins.str, def (arg: builtins.str) -> builtins.int)" [case testGenericNamedTupleSerialization] import b [file a.py] from typing import NamedTuple, Generic, TypeVar T = TypeVar("T") class NT(NamedTuple, Generic[T]): key: int value: T [file b.py] from a import NT nt = NT(key=0, value="yes") s: str = nt.value [file b.py.2] from a import NT nt = NT(key=0, value=42) s: str = nt.value [builtins fixtures/tuple.pyi] [out] [out2] tmp/b.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testGenericTypedDictSerialization] import b [file a.py] from typing import TypedDict, Generic, TypeVar T = TypeVar("T") class TD(TypedDict, Generic[T]): key: int value: T [file b.py] from a import TD td = TD(key=0, value="yes") s: str = td["value"] [file b.py.2] from a import TD td = TD(key=0, value=42) s: str = td["value"] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] tmp/b.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testUnpackKwargsSerialize] import m [file lib.py] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(**kwargs: Unpack[Person]): ... [file m.py] from lib import foo foo(name='Jennifer', age=38) [file m.py.2] from lib import foo foo(name='Jennifer', age="38") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] tmp/m.py:2: error: Argument "age" to "foo" has incompatible type "str"; expected "int" [case testDisableEnableErrorCodesIncremental] # flags: --disable-error-code truthy-bool # flags2: --enable-error-code truthy-bool class Foo: pass foo = Foo() if foo: ... [out] [out2] main:7: error: "__main__.foo" has type "Foo" which does not implement __bool__ or __len__ so it could always be true in boolean context [case testModuleAsProtocolImplementationSerialize] import m [file m.py] from typing import Protocol from lib import C class Options(Protocol): timeout: int def update(self) -> bool: ... def setup(options: Options) -> None: ... setup(C().config) [file lib.py] import default_config class C: config = default_config [file default_config.py] timeout = 100 def update() -> bool: ... [file default_config.py.2] timeout = 100 def update() -> str: ... [builtins fixtures/module.pyi] [out] [out2] tmp/m.py:9: error: Argument 1 to "setup" has incompatible type Module; expected "Options" tmp/m.py:9: note: Following member(s) of Module "default_config" have conflicts: tmp/m.py:9: note: Expected: tmp/m.py:9: note: def update() -> bool tmp/m.py:9: note: Got: tmp/m.py:9: note: def update() -> str [case testAbstractBodyTurnsEmptyCoarse] from b import Base class Sub(Base): def meth(self) -> int: return super().meth() [file b.py] from abc import abstractmethod class Base: @abstractmethod def meth(self) -> int: return 0 [file b.py.2] from abc import abstractmethod class Base: @abstractmethod def meth(self) -> int: ... [out] [out2] main:5: error: Call to abstract method "meth" of "Base" with trivial body via super() is unsafe [case testLiteralCoarseGrainedChainedAliases] from mod1 import Alias1 from typing import Literal x: Alias1 def expect_int(x: int) -> None: pass expect_int(x) [file mod1.py] from mod2 import Alias2 Alias1 = Alias2 [file mod2.py] from mod3 import Alias3 Alias2 = Alias3 [file mod3.py] from typing import Literal Alias3 = int [file mod3.py.2] from typing import Literal Alias3 = str [builtins fixtures/tuple.pyi] [out] [out2] main:5: error: Argument 1 to "expect_int" has incompatible type "str"; expected "int" [case testLiteralCoarseGrainedChainedAliases2] from mod1 import Alias1 from typing import Literal x: Alias1 def expect_3(x: Literal[3]) -> None: pass expect_3(x) [file mod1.py] from mod2 import Alias2 Alias1 = Alias2 [file mod2.py] from mod3 import Alias3 Alias2 = Alias3 [file mod3.py] from typing import Literal Alias3 = Literal[3] [file mod3.py.2] from typing import Literal Alias3 = Literal[4] [builtins fixtures/tuple.pyi] [out] [out2] main:5: error: Argument 1 to "expect_3" has incompatible type "Literal[4]"; expected "Literal[3]" [case testDoubleReexportFunctionUpdated] import m [file m.py] import f [file m.py.3] import f reveal_type(f.foo) [file f.py] import c def foo(arg: c.C) -> None: pass [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb1, pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py] class C: ... [out] [out2] [out3] tmp/m.py:2: note: Revealed type is "def (arg: pb2.C)" [case testDoubleReexportGenericUpdated] import m [file m.py] import f [file m.py.3] import f x: f.F reveal_type(x[0]) [file f.py] import c class FB(list[c.C]): ... class F(FB): ... [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb1, pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py] class C: ... [out] [out2] [out3] tmp/m.py:3: note: Revealed type is "pb2.C" [case testNoCrashDoubleReexportFunctionEmpty] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] import c def foo(arg: c.C) -> None: pass [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb1, pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py.2] class C: ... [file pb1.py.2] [out] [out2] [out3] [case testNoCrashDoubleReexportAliasEmpty] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] import c D = list[c.C] [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py.2] class C: ... [file pb1.py.2] [out] [out2] [out3] [case testNoCrashDoubleReexportBaseEmpty] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] import c class D(c.C): pass [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb1, pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py.2] class C: ... [file pb1.py.2] [out] [out2] [out3] [case testNoCrashDoubleReexportBaseEmpty2] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] import c class D(c.C): pass [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py.2] class C: ... [file pb1.py.2] [out] [out2] [out3] [case testDoubleReexportMetaUpdated] import m class C(metaclass=m.M): ... [file m.py] from types import M [file types.py] class M(type): ... [file types.py.2] class M: ... [out] [out2] main:2: error: Metaclasses not inheriting from "type" are not supported [case testIncrementalOkChangeWithSave2] import mod1 x: int = mod1.x [file mod1.py] from mod2 import x [file mod2.py] x = 1 [file mod2.py.2] x = "no way" [out] [out2] main:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testNoCrashDoubleReexportMetaEmpty] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] import c class D(metaclass=c.C): pass [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb1, pb2 C = pb2.C [file pb1.py] class C(type): ... [file pb2.py.2] class C(type): ... [file pb1.py.2] [out] [out2] [out3] [case testNoCrashDoubleReexportMetaEmpty2] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] import c class D(metaclass=c.C): pass [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb2 C = pb2.C [file pb1.py] class C(type): ... [file pb2.py.2] class C(type): ... [file pb1.py.2] [out] [out2] [out3] [case testNoCrashDoubleReexportTypedDictEmpty] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] from typing import TypedDict import c class D(TypedDict): x: c.C [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb1, pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py.2] class C: ... [file pb1.py.2] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] [out3] [case testNoCrashDoubleReexportTupleEmpty] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] from typing import Tuple import c class D(Tuple[c.C, int]): pass [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb1, pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py.2] class C: ... [file pb1.py.2] [builtins fixtures/tuple.pyi] [out] [out2] [out3] [case testNoCrashDoubleReexportOverloadEmpty] import m [file m.py] import f [file m.py.3] import f # modify [file f.py] from typing import Any, overload import c @overload def foo(arg: int) -> None: ... @overload def foo(arg: c.C) -> None: ... def foo(arg: Any) -> None: pass [file c.py] from types import C [file types.py] import pb1 C = pb1.C [file types.py.2] import pb1, pb2 C = pb2.C [file pb1.py] class C: ... [file pb2.py.2] class C: ... [file pb1.py.2] [out] [out2] [out3] [case testNoCrashOnPartialLambdaInference] # flags: --no-local-partial-types import m [file m.py] from typing import TypeVar, Callable V = TypeVar("V") def apply(val: V, func: Callable[[V], None]) -> None: return func(val) xs = [] apply(0, lambda a: xs.append(a)) [file m.py.2] from typing import TypeVar, Callable V = TypeVar("V") def apply(val: V, func: Callable[[V], None]) -> None: return func(val) xs = [] apply(0, lambda a: xs.append(a)) reveal_type(xs) [builtins fixtures/list.pyi] [out] [out2] tmp/m.py:9: note: Revealed type is "builtins.list[builtins.int]" [case testTypingSelfCoarse] import m [file lib.py] from typing import Self class C: def meth(self, other: Self) -> Self: ... [file m.py] import lib class D: ... [file m.py.2] import lib class D(lib.C): ... reveal_type(D.meth) reveal_type(D().meth) [out] [out2] tmp/m.py:4: note: Revealed type is "def [Self <: lib.C] (self: Self`1, other: Self`1) -> Self`1" tmp/m.py:5: note: Revealed type is "def (other: m.D) -> m.D" [case testIncrementalNestedGenericCallableCrash] from typing import TypeVar, Callable T = TypeVar("T") class B: def foo(self) -> Callable[[T], T]: ... class C(B): def __init__(self) -> None: self.x = self.foo() [out] [out2] [case testNoCrashIncrementalMetaAny] import a [file a.py] from m import Foo [file a.py.2] from m import Foo # touch [file m.py] from missing_module import Meta # type: ignore[import] class Foo(metaclass=Meta): ... [case testIncrementalNativeInt] import a [file a.py] from mypy_extensions import i64 x: i64 = 0 [file a.py.2] from mypy_extensions import i64 x: i64 = 0 y: int = x [builtins fixtures/tuple.pyi] [out] [out2] [case testGenericTypedDictWithError] import b [file a.py] from typing import Generic, TypeVar, TypedDict TValue = TypeVar("TValue") class Dict(TypedDict, Generic[TValue]): value: TValue [file b.py] from a import Dict, TValue def f(d: Dict[TValue]) -> TValue: return d["value"] def g(d: Dict[TValue]) -> TValue: return d["x"] [file b.py.2] from a import Dict, TValue def f(d: Dict[TValue]) -> TValue: return d["value"] def g(d: Dict[TValue]) -> TValue: return d["y"] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] tmp/b.py:6: error: TypedDict "a.Dict[TValue]" has no key "x" [out2] tmp/b.py:6: error: TypedDict "a.Dict[TValue]" has no key "y" [case testParamSpecNoCrash] import m [file m.py] from typing import Callable, TypeVar from lib import C T = TypeVar("T") def test(x: Callable[..., T]) -> T: ... test(C) # type: ignore [file m.py.2] from typing import Callable, TypeVar from lib import C T = TypeVar("T") def test(x: Callable[..., T]) -> T: ... test(C) # type: ignore # touch [file lib.py] from typing import ParamSpec, Generic, Callable P = ParamSpec("P") class C(Generic[P]): def __init__(self, fn: Callable[P, int]) -> None: ... [builtins fixtures/dict.pyi] [case testVariadicClassIncrementalUpdateRegularToVariadic] from typing import Any from lib import C x: C[int, str] [file lib.py] from typing import Generic, TypeVar T = TypeVar("T") S = TypeVar("S") class C(Generic[T, S]): ... [file lib.py.2] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): ... [builtins fixtures/tuple.pyi] [case testVariadicClassIncrementalUpdateVariadicToRegular] from typing import Any from lib import C x: C[int, str, int] [file lib.py] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): ... [file lib.py.2] from typing import Generic, TypeVar T = TypeVar("T") S = TypeVar("S") class C(Generic[T, S]): ... [builtins fixtures/tuple.pyi] [out2] main:4: error: "C" expects 2 type arguments, but 3 given [case testVariadicTupleIncrementalUpdateNoCrash] import m [file m.py] from typing import Any from lib import C x: C[Any] [file m.py.2] from lib import C x: C[int] [file lib.py] from typing import Generic, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Tuple[Unpack[Ts]]): ... [builtins fixtures/tuple.pyi] [case testNoIncrementalCrashOnInvalidTypedDict] import m [file m.py] import counts [file m.py.2] import counts # touch [file counts.py] from typing import TypedDict Counts = TypedDict("Counts", {k: int for k in "abc"}) # type: ignore [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNoIncrementalCrashOnInvalidTypedDictFunc] import m [file m.py] import counts [file m.py.2] import counts # touch [file counts.py] from typing import TypedDict def test() -> None: Counts = TypedDict("Counts", {k: int for k in "abc"}) # type: ignore [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNoIncrementalCrashOnTypedDictMethod] import a [file a.py] from b import C x: C [file a.py.2] from b import C x: C reveal_type(x.h) [file b.py] from typing import TypedDict class C: def __init__(self) -> None: self.h: Hidden class Hidden(TypedDict): x: int [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] tmp/a.py:3: note: Revealed type is "TypedDict('b.C.Hidden@5', {'x': builtins.int})" [case testNoIncrementalCrashOnInvalidEnumMethod] import a [file a.py] from lib import TheClass [file a.py.2] from lib import TheClass x: TheClass reveal_type(x.enum_type) [file lib.py] import enum class TheClass: def __init__(self) -> None: names = ["foo"] pyenum = enum.Enum('Blah', { # type: ignore[misc] x.upper(): x for x in names }) self.enum_type = pyenum [builtins fixtures/tuple.pyi] [out] [out2] tmp/a.py:3: note: Revealed type is "def (value: builtins.object) -> lib.TheClass.pyenum@6" [case testIncrementalFunctoolsPartial] import a [file a.py] from typing import Callable from partial import p1, p2 p1(1, "a", 3) # OK p1(1, "a", c=3) # OK p1(1, b="a", c=3) # OK reveal_type(p1) def takes_callable_int(f: Callable[..., int]) -> None: ... def takes_callable_str(f: Callable[..., str]) -> None: ... takes_callable_int(p1) takes_callable_str(p1) p2("a") # OK p2("a", 3) # OK p2("a", c=3) # OK p2(1, 3) p2(1, "a", 3) p2(a=1, b="a", c=3) [file a.py.2] from typing import Callable from partial import p3 p3(1) # OK p3(1, c=3) # OK p3(a=1) # OK p3(1, b="a", c=3) # OK, keywords can be clobbered p3(1, 3) [file partial.py] from typing import Callable import functools def foo(a: int, b: str, c: int = 5) -> int: ... p1 = functools.partial(foo) p2 = functools.partial(foo, 1) p3 = functools.partial(foo, b="a") [builtins fixtures/dict.pyi] [out] tmp/a.py:8: note: Revealed type is "functools.partial[builtins.int]" tmp/a.py:13: error: Argument 1 to "takes_callable_str" has incompatible type "partial[int]"; expected "Callable[..., str]" tmp/a.py:13: note: "partial[int].__call__" has type "def __call__(__self, *args: Any, **kwargs: Any) -> int" tmp/a.py:18: error: Argument 1 to "foo" has incompatible type "int"; expected "str" tmp/a.py:19: error: Too many arguments for "foo" tmp/a.py:19: error: Argument 1 to "foo" has incompatible type "int"; expected "str" tmp/a.py:19: error: Argument 2 to "foo" has incompatible type "str"; expected "int" tmp/a.py:20: error: Unexpected keyword argument "a" for "foo" tmp/partial.py:4: note: "foo" defined here [out2] tmp/a.py:8: error: Too many positional arguments for "foo" tmp/a.py:8: error: Argument 2 to "foo" has incompatible type "int"; expected "str" [case testStartUsingTypeGuard] import a [file a.py] from lib import guard from typing import Union from typing_extensions import assert_type x: Union[int, str] [file a.py.2] from lib import guard from typing import Union from typing_extensions import assert_type x: Union[int, str] if guard(x): assert_type(x, int) else: assert_type(x, Union[int, str]) [file lib.py] from typing_extensions import TypeGuard def guard(x: object) -> TypeGuard[int]: pass [builtins fixtures/tuple.pyi] [case testStartUsingTypeIs] import a [file a.py] from lib import guard from typing import Union from typing_extensions import assert_type x: Union[int, str] [file a.py.2] from lib import guard from typing import Union from typing_extensions import assert_type x: Union[int, str] if guard(x): assert_type(x, int) else: assert_type(x, str) [file lib.py] from typing_extensions import TypeIs def guard(x: object) -> TypeIs[int]: pass [builtins fixtures/tuple.pyi] [case testTypeGuardToTypeIs] import a [file a.py] from lib import guard from typing import Union from typing_extensions import assert_type x: Union[int, str] if guard(x): assert_type(x, int) else: assert_type(x, Union[int, str]) [file a.py.2] from lib import guard from typing import Union from typing_extensions import assert_type x: Union[int, str] if guard(x): assert_type(x, int) else: assert_type(x, str) [file lib.py] from typing_extensions import TypeGuard def guard(x: object) -> TypeGuard[int]: pass [file lib.py.2] from typing_extensions import TypeIs def guard(x: object) -> TypeIs[int]: pass [builtins fixtures/tuple.pyi] [case testStartUsingPEP604Union] # flags: --python-version 3.10 import a [file a.py] import lib [file a.py.2] from lib import IntOrStr assert isinstance(1, IntOrStr) [file lib.py] from typing_extensions import TypeAlias IntOrStr: TypeAlias = int | str assert isinstance(1, IntOrStr) [builtins fixtures/type.pyi] [case testPropertySetterTypeIncremental] import b [file a.py] class A: @property def f(self) -> int: return 1 @f.setter def f(self, x: str) -> None: pass [file b.py] from a import A [file b.py.2] from a import A a = A() a.f = '' # OK reveal_type(a.f) a.f = 1 reveal_type(a.f) [builtins fixtures/property.pyi] [out] [out2] tmp/b.py:4: note: Revealed type is "builtins.int" tmp/b.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "str") tmp/b.py:6: note: Revealed type is "builtins.int" [case testSerializeDeferredGenericNamedTuple] import pkg [file pkg/__init__.py] from .lib import NT [file pkg/lib.py] from typing import Generic, NamedTuple, TypeVar from pkg import does_not_exist # type: ignore from pkg.missing import also_missing # type: ignore T = TypeVar("T", bound=does_not_exist) class NT(NamedTuple, Generic[T]): values: also_missing[T] [file pkg/__init__.py.2] # touch from .lib import NT [builtins fixtures/tuple.pyi] [out] [out2] [case testNewRedefineAffectsCache] # flags: --local-partial-types --allow-redefinition-new # flags2: --local-partial-types # flags3: --local-partial-types --allow-redefinition-new x = 0 if int(): x = "" [out] [out2] main:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testUntypedCallsExcludeAffectsCache] # flags: --disallow-untyped-calls --untyped-calls-exclude=mod.Super # flags2: --disallow-untyped-calls --untyped-calls-exclude=mod # flags3: --disallow-untyped-calls --untyped-calls-exclude=mod.Super import mod [file mod.py] class Super: def draw(self): ... class Class(Super): ... Class().draw() [out] tmp/mod.py:6: error: Call to untyped function "draw" in typed context [out2] [out3] tmp/mod.py:6: error: Call to untyped function "draw" in typed context [case testMethodMakeBoundIncremental] from a import A a = A() a.f() [file a.py] class B: def f(self, s: A) -> int: ... def f(s: A) -> int: ... class A: f = f [file a.py.2] class B: def f(self, s: A) -> int: ... def f(s: A) -> int: ... class A: f = B().f [out] [out2] main:3: error: Too few arguments [case testUnreachableAfterToplevelAssertImportThirdParty] # flags: --platform unknown import sys assert sys.platform == 'linux' import does_not_exist [builtins fixtures/ops.pyi] [out] [out2] [case testIncrementalNoCrashOnParamSpecPrefixUpdateMethod] import impl [file impl.py] from typing_extensions import ParamSpec from lib import Sub P = ParamSpec("P") class Impl(Sub[P]): def test(self, *args: P.args, **kwargs: P.kwargs) -> None: self.meth(1, *args, **kwargs) [file impl.py.2] from typing_extensions import ParamSpec from lib import Sub P = ParamSpec("P") class Impl(Sub[P]): def test(self, *args: P.args, **kwargs: P.kwargs) -> None: self.meth("no", *args, **kwargs) [file lib.py] from typing import Generic from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class Base(Generic[P]): def meth(self, *args: P.args, **kwargs: P.kwargs) -> None: ... class Sub(Base[Concatenate[int, P]]): ... [builtins fixtures/paramspec.pyi] [out] [out2] tmp/impl.py:7: error: Argument 1 to "meth" of "Base" has incompatible type "str"; expected "int" [case testIncrementalNoCrashOnParamSpecPrefixUpdateMethodAlias] import impl [file impl.py] from typing_extensions import ParamSpec from lib import Sub P = ParamSpec("P") class Impl(Sub[P]): def test(self, *args: P.args, **kwargs: P.kwargs) -> None: self.alias(1, *args, **kwargs) [file impl.py.2] from typing_extensions import ParamSpec from lib import Sub P = ParamSpec("P") class Impl(Sub[P]): def test(self, *args: P.args, **kwargs: P.kwargs) -> None: self.alias("no", *args, **kwargs) [file lib.py] from typing import Generic from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class Base(Generic[P]): def meth(self, *args: P.args, **kwargs: P.kwargs) -> None: ... alias = meth class Sub(Base[Concatenate[int, P]]): ... [builtins fixtures/paramspec.pyi] [out] [out2] tmp/impl.py:7: error: Argument 1 has incompatible type "str"; expected "int" [case testIncrementalDifferentSourcesFreshnessCorrect] # cmd: mypy -m foo bar # cmd2: mypy -m foo # cmd3: mypy -m foo bar [file foo.py] foo = 5 [file foo.py.2] foo = None [file bar.py] from foo import foo bar: int = foo [out] [out2] [out3] tmp/bar.py:2: error: Incompatible types in assignment (expression has type "None", variable has type "int") [case testIncrementalBlockingErrorRepeatAndUndo] import m [file m.py] import f reveal_type(f.x) [file m.py.3] import f reveal_type(f.x) # touch [file f.py] x = 1 [file f.py.2] no way [file f.py.4] x = 1 [out] tmp/m.py:2: note: Revealed type is "builtins.int" [out2] tmp/f.py:1: error: Invalid syntax [out3] tmp/f.py:1: error: Invalid syntax [out4] tmp/m.py:2: note: Revealed type is "builtins.int" [case testIncrementalSameErrorOrder] import m [file m.py] import n def accept_int(x: int) -> None: pass accept_int(n.foo) [file n.py] import other foo = "hello" reveal_type(foo) [file other.py] [file other.py.2] # touch [rechecked other] [stale] [out] tmp/n.py:3: note: Revealed type is "builtins.str" tmp/m.py:3: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" [out2] tmp/n.py:3: note: Revealed type is "builtins.str" tmp/m.py:3: error: Argument 1 to "accept_int" has incompatible type "str"; expected "int" [case testIncrementalNoIndirectDepFromLocal] import foo import bar [file foo.py] # Having a local named 'bar' shouldn't generate a dependency on module 'bar' def f(bar: int) -> int: return bar [file bar.py] import foo x = 1 [file bar.py.2] import foo x = 2 [out] [rechecked bar] [stale] [case testIncrementalTypedDictGetMethodTotalFalse] import impl [file lib.py] from typing import TypedDict class Unrelated: pass D = TypedDict('D', {'x': int, 'y': str}, total=False) [file impl.py] pass [file impl.py.2] from typing import Literal from lib import D, Unrelated d: D u: Unrelated x: Literal['x'] y: Literal['y'] z: Literal['z'] x_or_y: Literal['x', 'y'] x_or_z: Literal['x', 'z'] x_or_y_or_z: Literal['x', 'y', 'z'] # test with literal expression reveal_type(d.get('x')) reveal_type(d.get('y')) reveal_type(d.get('z')) reveal_type(d.get('x', u)) reveal_type(d.get('x', 1)) reveal_type(d.get('y', None)) # test with literal type / union of literal types with implicit default reveal_type(d.get(x)) reveal_type(d.get(y)) reveal_type(d.get(z)) reveal_type(d.get(x_or_y)) reveal_type(d.get(x_or_z)) reveal_type(d.get(x_or_y_or_z)) # test with literal type / union of literal types with explicit default reveal_type(d.get(x, u)) reveal_type(d.get(y, u)) reveal_type(d.get(z, u)) reveal_type(d.get(x_or_y, u)) reveal_type(d.get(x_or_z, u)) reveal_type(d.get(x_or_y_or_z, u)) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] tmp/impl.py:13: note: Revealed type is "Union[builtins.int, None]" tmp/impl.py:14: note: Revealed type is "Union[builtins.str, None]" tmp/impl.py:15: note: Revealed type is "builtins.object" tmp/impl.py:16: note: Revealed type is "Union[builtins.int, lib.Unrelated]" tmp/impl.py:17: note: Revealed type is "builtins.int" tmp/impl.py:18: note: Revealed type is "Union[builtins.str, None]" tmp/impl.py:21: note: Revealed type is "Union[builtins.int, None]" tmp/impl.py:22: note: Revealed type is "Union[builtins.str, None]" tmp/impl.py:23: note: Revealed type is "builtins.object" tmp/impl.py:24: note: Revealed type is "Union[builtins.int, builtins.str, None]" tmp/impl.py:25: note: Revealed type is "builtins.object" tmp/impl.py:26: note: Revealed type is "builtins.object" tmp/impl.py:29: note: Revealed type is "Union[builtins.int, lib.Unrelated]" tmp/impl.py:30: note: Revealed type is "Union[builtins.str, lib.Unrelated]" tmp/impl.py:31: note: Revealed type is "builtins.object" tmp/impl.py:32: note: Revealed type is "Union[builtins.int, builtins.str, lib.Unrelated]" tmp/impl.py:33: note: Revealed type is "builtins.object" tmp/impl.py:34: note: Revealed type is "builtins.object" [case testIncrementalTypedDictGetMethodTotalTrue] import impl [file lib.py] from typing import TypedDict class Unrelated: pass D = TypedDict('D', {'x': int, 'y': str}, total=True) [file impl.py] pass [file impl.py.2] from typing import Literal from lib import D, Unrelated d: D u: Unrelated x: Literal['x'] y: Literal['y'] z: Literal['z'] x_or_y: Literal['x', 'y'] x_or_z: Literal['x', 'z'] x_or_y_or_z: Literal['x', 'y', 'z'] # test with literal expression reveal_type(d.get('x')) reveal_type(d.get('y')) reveal_type(d.get('z')) reveal_type(d.get('x', u)) reveal_type(d.get('x', 1)) reveal_type(d.get('y', None)) # test with literal type / union of literal types with implicit default reveal_type(d.get(x)) reveal_type(d.get(y)) reveal_type(d.get(z)) reveal_type(d.get(x_or_y)) reveal_type(d.get(x_or_z)) reveal_type(d.get(x_or_y_or_z)) # test with literal type / union of literal types with explicit default reveal_type(d.get(x, u)) reveal_type(d.get(y, u)) reveal_type(d.get(z, u)) reveal_type(d.get(x_or_y, u)) reveal_type(d.get(x_or_z, u)) reveal_type(d.get(x_or_y_or_z, u)) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] tmp/impl.py:13: note: Revealed type is "builtins.int" tmp/impl.py:14: note: Revealed type is "builtins.str" tmp/impl.py:15: note: Revealed type is "builtins.object" tmp/impl.py:16: note: Revealed type is "builtins.int" tmp/impl.py:17: note: Revealed type is "builtins.int" tmp/impl.py:18: note: Revealed type is "builtins.str" tmp/impl.py:21: note: Revealed type is "builtins.int" tmp/impl.py:22: note: Revealed type is "builtins.str" tmp/impl.py:23: note: Revealed type is "builtins.object" tmp/impl.py:24: note: Revealed type is "Union[builtins.int, builtins.str]" tmp/impl.py:25: note: Revealed type is "builtins.object" tmp/impl.py:26: note: Revealed type is "builtins.object" tmp/impl.py:29: note: Revealed type is "builtins.int" tmp/impl.py:30: note: Revealed type is "builtins.str" tmp/impl.py:31: note: Revealed type is "builtins.object" tmp/impl.py:32: note: Revealed type is "Union[builtins.int, builtins.str]" tmp/impl.py:33: note: Revealed type is "builtins.object" tmp/impl.py:34: note: Revealed type is "builtins.object" [case testIncrementalTypedDictGetMethodTotalMixed] import impl [file lib.py] from typing import TypedDict from typing_extensions import Required, NotRequired class Unrelated: pass D = TypedDict('D', {'x': Required[int], 'y': NotRequired[str]}) [file impl.py] pass [file impl.py.2] from typing import Literal from lib import D, Unrelated d: D u: Unrelated x: Literal['x'] y: Literal['y'] z: Literal['z'] x_or_y: Literal['x', 'y'] x_or_z: Literal['x', 'z'] x_or_y_or_z: Literal['x', 'y', 'z'] # test with literal expression reveal_type(d.get('x')) reveal_type(d.get('y')) reveal_type(d.get('z')) reveal_type(d.get('x', u)) reveal_type(d.get('x', 1)) reveal_type(d.get('y', None)) # test with literal type / union of literal types with implicit default reveal_type(d.get(x)) reveal_type(d.get(y)) reveal_type(d.get(z)) reveal_type(d.get(x_or_y)) reveal_type(d.get(x_or_z)) reveal_type(d.get(x_or_y_or_z)) # test with literal type / union of literal types with explicit default reveal_type(d.get(x, u)) reveal_type(d.get(y, u)) reveal_type(d.get(z, u)) reveal_type(d.get(x_or_y, u)) reveal_type(d.get(x_or_z, u)) reveal_type(d.get(x_or_y_or_z, u)) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [out2] tmp/impl.py:13: note: Revealed type is "builtins.int" tmp/impl.py:14: note: Revealed type is "Union[builtins.str, None]" tmp/impl.py:15: note: Revealed type is "builtins.object" tmp/impl.py:16: note: Revealed type is "builtins.int" tmp/impl.py:17: note: Revealed type is "builtins.int" tmp/impl.py:18: note: Revealed type is "Union[builtins.str, None]" tmp/impl.py:21: note: Revealed type is "builtins.int" tmp/impl.py:22: note: Revealed type is "Union[builtins.str, None]" tmp/impl.py:23: note: Revealed type is "builtins.object" tmp/impl.py:24: note: Revealed type is "Union[builtins.int, builtins.str, None]" tmp/impl.py:25: note: Revealed type is "builtins.object" tmp/impl.py:26: note: Revealed type is "builtins.object" tmp/impl.py:29: note: Revealed type is "builtins.int" tmp/impl.py:30: note: Revealed type is "Union[builtins.str, lib.Unrelated]" tmp/impl.py:31: note: Revealed type is "builtins.object" tmp/impl.py:32: note: Revealed type is "Union[builtins.int, builtins.str, lib.Unrelated]" tmp/impl.py:33: note: Revealed type is "builtins.object" tmp/impl.py:34: note: Revealed type is "builtins.object" [case testIncrementalAccessSubmoduleWithoutExplicitImport] import b import a [file a.py] import pkg pkg.submod.foo() [file a.py.2] import pkg pkg.submod.foo() x = 1 [file b.py] import c [file c.py] from pkg import submod [file pkg/__init__.pyi] [file pkg/submod.pyi] def foo() -> None: pass [out] tmp/a.py:3: error: "object" has no attribute "submod" [out2] tmp/a.py:3: error: "object" has no attribute "submod" [case testIncrementalAccessSubmoduleWithoutExplicitImportNested] import a [file a.py] import pandas pandas.core.dtypes [file a.py.2] import pandas pandas.core.dtypes # touch [file pandas/__init__.py] import pandas.core.api [file pandas/core/__init__.py] [file pandas/core/api.py] import pandas.core.dtypes.dtypes [file pandas/core/dtypes/__init__.py] [file pandas/core/dtypes/dtypes.py] X = 0 [out] [out2] [case testIncrementalAccessSubmoduleWithoutExplicitImportNestedFrom] import a [file a.py] import pandas # Although this actually works at runtime, we do not support this, since # this would cause major slowdown for a rare edge case. This test verifies # that we fail consistently on cold and warm runs. pandas.core.dtypes [file a.py.2] import pandas pandas.core.dtypes [file pandas/__init__.py] import pandas.core.api [file pandas/core/__init__.py] [file pandas/core/api.py] from pandas.core.dtypes.dtypes import X [file pandas/core/dtypes/__init__.py] [file pandas/core/dtypes/dtypes.py] X = 0 [out] tmp/a.py:6: error: "object" has no attribute "dtypes" [out2] tmp/a.py:2: error: "object" has no attribute "dtypes" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-inference-context.test0000644000175100017510000011524415112307767022527 0ustar00runnerrunner -- Basic test cases -- ---------------- [case testBasicContextInference] from typing import TypeVar, Generic T = TypeVar('T') def f() -> 'A[T]': pass class A(Generic[T]): pass class B: pass ab: A[B] ao: A[object] b: B if int(): ao = f() if int(): ab = f() if int(): b = f() # E: Incompatible types in assignment (expression has type "A[Never]", variable has type "B") [case testBasicContextInferenceForConstructor] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass class B: pass ab: A[B] ao: A[object] b: B if int(): ao = A() if int(): ab = A() if int(): b = A() # E: Incompatible types in assignment (expression has type "A[Never]", variable has type "B") [case testIncompatibleContextInference] from typing import TypeVar, Generic T = TypeVar('T') def f(a: T) -> 'A[T]': pass class A(Generic[T]): pass class B: pass class C: pass b: B c: C ab: A[B] ao: A[object] ac: A[C] if int(): ac = f(b) # E: Argument 1 to "f" has incompatible type "B"; expected "C" if int(): ab = f(c) # E: Argument 1 to "f" has incompatible type "C"; expected "B" if int(): ao = f(b) if int(): ab = f(b) if int(): ao = f(c) if int(): ac = f(c) -- Local variables -- --------------- [case testInferGenericLocalVariableTypeWithEmptyContext] from typing import TypeVar, Generic T = TypeVar('T') def g() -> None: ao: A[object] ab: A[B] o: object b: B x = f(o) if int(): ab = x # E: Incompatible types in assignment (expression has type "A[object]", variable has type "A[B]") ao = x y = f(b) if int(): ao = y # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") ab = y def f(a: T) -> 'A[T]': pass class A(Generic[T]): pass class B: pass [out] [case testInferLocalVariableTypeWithUnderspecifiedGenericType] from typing import TypeVar, Generic T = TypeVar('T') def g() -> None: x = f() # E: Need type annotation for "x" def f() -> 'A[T]': pass class A(Generic[T]): pass [out] [case testInferMultipleLocalVariableTypesWithTupleRvalue] from typing import TypeVar, Generic T = TypeVar('T') def g() -> None: ao: A[object] ab: A[B] b: B x, y = f(b), f(b) if int(): ao = x # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") ao = y # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") ab = x ab = y def f(a: T) -> 'A[T]': pass class A(Generic[T]): pass class B: pass [out] [case testInferMultipleLocalVariableTypesWithArrayRvalueAndNesting] from typing import TypeVar, List, Generic T = TypeVar('T') def h() -> None: ao: A[object] ab: A[B] b: B x, y = g(f(b)) if int(): ao = x # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") ao = y # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") ab = x ab = y def f(a: T) -> 'A[T]': pass def g(a: T) -> List[T]: pass class A(Generic[T]): pass class B: pass [builtins fixtures/for.pyi] [out] -- Return types with multiple tvar instances -- ----------------------------------------- [case testInferenceWithTypeVariableTwiceInReturnType] from typing import TypeVar, Tuple, Generic T = TypeVar('T') def f(a: T) -> 'Tuple[A[T], A[T]]': pass class A(Generic[T]): pass class B: pass b: B o: object ab: A[B] ao: A[object] if int(): ab, ao = f(b) # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") if int(): ao, ab = f(b) # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") if int(): ao, ao = f(b) if int(): ab, ab = f(b) if int(): ao, ao = f(o) [builtins fixtures/tuple.pyi] [case testInferenceWithTypeVariableTwiceInReturnTypeAndMultipleVariables] from typing import TypeVar, Tuple, Generic S = TypeVar('S') T = TypeVar('T') def f(a: S, b: T) -> 'Tuple[A[S], A[T], A[T]]': pass def g(a: S, b: T) -> 'Tuple[A[S], A[S], A[T]]': pass def h(a: S, b: T) -> 'Tuple[A[S], A[S], A[T], A[T]]': pass class A(Generic[T]): pass class B: pass b: B o: object ab: A[B] ao: A[object] if int(): ao, ao, ab = f(b, b) # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") if int(): ao, ab, ao = g(b, b) # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") if int(): ao, ab, ab, ab = h(b, b) # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") if int(): ab, ab, ao, ab = h(b, b) # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[object]") if int(): ao, ab, ab = f(b, b) if int(): ab, ab, ao = g(b, b) if int(): ab, ab, ab, ab = h(b, b) [builtins fixtures/tuple.pyi] -- Multiple tvar instances in arguments -- ------------------------------------ [case testMultipleTvatInstancesInArgs] from typing import TypeVar, Generic T = TypeVar('T') def f(a: T, b: T) -> 'A[T]': pass class A(Generic[T]): pass class B: pass class C(B): pass ac: A[C] ab: A[B] ao: A[object] b: B c: C o: object if int(): ab = f(b, o) # E: Argument 2 to "f" has incompatible type "object"; expected "B" if int(): ab = f(o, b) # E: Argument 1 to "f" has incompatible type "object"; expected "B" if int(): ac = f(b, c) # E: Argument 1 to "f" has incompatible type "B"; expected "C" if int(): ac = f(c, b) # E: Argument 2 to "f" has incompatible type "B"; expected "C" if int(): ao = f(b, c) if int(): ao = f(c, b) if int(): ab = f(c, b) -- Nested generic function calls -- ----------------------------- [case testNestedGenericFunctionCall1] from typing import TypeVar, Generic T = TypeVar('T') def f(a: T) -> 'A[T]': pass class A(Generic[T]): pass class B: pass aab: A[A[B]] aao: A[A[object]] ao: A[object] b: B o: object if int(): aab = f(f(o)) # E: Argument 1 to "f" has incompatible type "object"; expected "B" if int(): aab = f(f(b)) aao = f(f(b)) ao = f(f(b)) [case testNestedGenericFunctionCall2] from typing import TypeVar, Generic T = TypeVar('T') def f(a: T) -> T: pass def g(a: T) -> 'A[T]': pass class A(Generic[T]): pass class B: pass ab: A[B] ao: A[object] b: B o: object if int(): ab = f(g(o)) # E: Argument 1 to "g" has incompatible type "object"; expected "B" if int(): ab = f(g(b)) ao = f(g(b)) [case testNestedGenericFunctionCall3] from typing import TypeVar, Generic T = TypeVar('T') def f(a: T, b: T) -> T: pass def g(a: T) -> 'A[T]': pass class A(Generic[T]): pass class B: pass ab: A[B] ao: A[object] b: B o: object if int(): ab = f(g(o), g(b)) # E: Argument 1 to "g" has incompatible type "object"; expected "B" if int(): ab = f(g(b), g(o)) # E: Argument 1 to "g" has incompatible type "object"; expected "B" if int(): ab = f(g(b), g(b)) ao = f(g(b), g(o)) if int(): ao = f(g(o), g(b)) -- Method calls -- ------------ [case testMethodCallWithContextInference] from typing import TypeVar, Generic T = TypeVar('T') o: object b: B c: C def f(a: T) -> 'A[T]': pass class A(Generic[T]): def g(self, a: 'A[T]') -> 'A[T]': pass class B: pass class C(B): pass ao: A[object] ab: A[B] ac: A[C] ab.g(f(o)) # E: Argument 1 to "f" has incompatible type "object"; expected "B" if int(): ac = f(b).g(f(c)) # E: Incompatible types in assignment (expression has type "A[B]", variable has type "A[C]") if int(): ac = f(c).g(f(b)) # E: Argument 1 to "f" has incompatible type "B"; expected "C" if int(): ab = f(b).g(f(c)) ab.g(f(c)) -- List expressions -- ---------------- [case testEmptyListExpression] from typing import List aa: List[A] ao: List[object] a: A def f(): a, aa, ao # Prevent redefinition a = [] # E: Incompatible types in assignment (expression has type "list[Never]", variable has type "A") aa = [] ao = [] class A: pass [builtins fixtures/list.pyi] [case testSingleItemListExpressions] from typing import List, Optional aa: List[Optional[A]] ab: List[B] ao: List[object] a: A b: B def f(): aa, ab, ao # Prevent redefinition aa = [b] # E: List item 0 has incompatible type "B"; expected "Optional[A]" ab = [a] # E: List item 0 has incompatible type "A"; expected "B" aa = [a] ab = [b] ao = [a] aa = [None] ao = [None] class A: pass class B: pass [builtins fixtures/list.pyi] [case testMultiItemListExpressions] from typing import List aa: List[A] ab: List[B] ao: List[object] a: A b: B def f(): ab, aa, ao # Prevent redefinition ab = [b, a] # E: List item 1 has incompatible type "A"; expected "B" ab = [a, b] # E: List item 0 has incompatible type "A"; expected "B" aa = [a, b, a] ao = [a, b] class A: pass class B(A): pass [builtins fixtures/list.pyi] [case testLocalVariableInferenceFromEmptyList] import typing def f() -> None: a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") b = [None] c = [B()] if int(): c = [object()] # E: List item 0 has incompatible type "object"; expected "B" c = [B()] class B: pass [builtins fixtures/list.pyi] [out] [case testNestedListExpressions] # flags: --no-strict-optional from typing import List aao = None # type: list[list[object]] aab = None # type: list[list[B]] ab = None # type: list[B] b = None # type: B o = None # type: object def f(): aao, aab # Prevent redefinition aao = [[o], ab] # E: List item 1 has incompatible type "list[B]"; expected "list[object]" aab = [[], [o]] # E: List item 0 has incompatible type "object"; expected "B" aao = [[None], [b], [], [o]] aab = [[None], [b], []] aab = [ab, []] class B: pass [builtins fixtures/list.pyi] -- Complex context -- --------------- [case testParenthesesAndContext] from typing import List class A: pass l = ([A()]) # type: List[object] [builtins fixtures/list.pyi] [case testComplexTypeInferenceWithTuple] from typing import TypeVar, Tuple, Generic k = TypeVar('k') t = TypeVar('t') v = TypeVar('v') class A(Generic[t]): pass class B: pass class C: pass class D(Generic[k, v]): pass def f(x: Tuple[k]) -> 'A[k]': pass d = f((A(),)) # type: A[A[B]] [builtins fixtures/list.pyi] -- Dictionary literals -- ------------------- [case testDictionaryLiteralInContext] from typing import Dict, TypeVar, Generic t = TypeVar('t') class A(Generic[t]): pass class B: pass class C: pass a_b = A() # type: A[B] a_c = A() # type: A[C] d = {A() : a_c, a_b : A()} # type: Dict[A[B], A[C]] [builtins fixtures/dict.pyi] -- Special cases (regression tests etc.) -- ------------------------------------- [case testInitializationWithInferredGenericType] from typing import TypeVar, Generic T = TypeVar('T') def f(x: T) -> T: pass class C(Generic[T]): pass class A: pass c = f(A()) # type: C[A] # E: Argument 1 to "f" has incompatible type "A"; expected "C[A]" [case testInferredGenericTypeAsReturnValue] from typing import TypeVar, Generic T = TypeVar('T') def t() -> 'A[B]': return f(D()) # E: Argument 1 to "f" has incompatible type "D"; expected "B" return A() return f(C()) def f(a: T) -> 'A[T]': pass class A(Generic[T]): pass class B: pass class C(B): pass class D: pass [out] [case testIntersectionWithInferredGenericArgument] from foo import * [file foo.pyi] from typing import overload, TypeVar, Generic T = TypeVar('T') f(A()) @overload def f(x: 'A[B]') -> None: pass @overload def f(x: 'B') -> None: pass class A(Generic[T]): pass class B: pass [case testInferenceWithAbstractClassContext] from typing import TypeVar, Generic from abc import abstractmethod, ABCMeta t = TypeVar('t') class I(Generic[t]): @abstractmethod def f(self): pass class A(I[t], Generic[t]): def f(self): pass x = A() # type: I[int] a_object = A() # type: A[object] y = a_object # type: I[int] # E: Incompatible types in assignment (expression has type "A[object]", variable has type "I[int]") [case testInferenceWithAbstractClassContext2] from typing import TypeVar, Generic from abc import abstractmethod, ABCMeta t = TypeVar('t') class I(Generic[t]): pass class A(I[t], Generic[t]): pass def f(i: I[t]) -> A[t]: pass a = f(A()) # type: A[int] a_int = A() # type: A[int] aa = f(a_int) [case testInferenceWithAbstractClassContext3] from typing import TypeVar, Generic, Iterable t = TypeVar('t') class set(Generic[t]): def __init__(self, iterable: Iterable[t]) -> None: pass b = bool() l = set([b]) if int(): l = set([object()]) # E: List item 0 has incompatible type "object"; expected "bool" [builtins fixtures/for.pyi] -- Infer generic type in 'Any' context -- ----------------------------------- [case testInferGenericTypeInAnyContext] from typing import Any, TypeVar, Generic s = TypeVar('s') t = TypeVar('t') class C(Generic[s, t]): pass x = [] # type: Any y = C() # type: Any [builtins fixtures/list.pyi] -- Lambdas -- ------- [case testInferLambdaArgumentTypeUsingContext] from typing import Callable f: Callable[[B], A] if int(): f = lambda x: x.o f = lambda x: x.x # E: "B" has no attribute "x" class A: pass class B: o: A [case testInferLambdaReturnTypeUsingContext] from typing import List, Callable f: Callable[[], List[A]] if int(): f = lambda: [] f = lambda: [B()] # E: List item 0 has incompatible type "B"; expected "A" class A: pass class B: pass [builtins fixtures/list.pyi] [case testInferLambdaTypeUsingContext] x : str = (lambda x: x + 1)(1) # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type((lambda x, y: x + y)(1, 2)) # N: Revealed type is "builtins.int" (lambda x, y: x + y)(1, "") # E: Unsupported operand types for + ("int" and "str") (lambda *, x, y: x + y)(x=1, y="") # E: Unsupported operand types for + ("int" and "str") reveal_type((lambda s, i: s)(i=0, s='x')) # N: Revealed type is "Literal['x']?" reveal_type((lambda s, i: i)(i=0, s='x')) # N: Revealed type is "Literal[0]?" reveal_type((lambda x, s, i: x)(1.0, i=0, s='x')) # N: Revealed type is "builtins.float" if object(): (lambda x, s, i: x)() # E: Too few arguments if object(): (lambda: 0)(1) # E: Too many arguments -- varargs are not handled, but it should not crash reveal_type((lambda *k, s, i: i)(type, i=0, s='x')) # N: Revealed type is "Any" reveal_type((lambda s, *k, i: i)(i=0, s='x')) # N: Revealed type is "Any" reveal_type((lambda s, i, **k: i)(i=0, s='x')) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [case testInferLambdaAsGenericFunctionArgument] from typing import TypeVar, List, Any, Callable t = TypeVar('t') class A: x = None # type: A def f(a: List[t], fn: Callable[[t], Any]) -> None: pass list_a = [] # type: List[A] f(list_a, lambda a: a.x) [builtins fixtures/list.pyi] [case testLambdaWithoutContext] reveal_type(lambda x: x) # N: Revealed type is "def (x: Any) -> Any" reveal_type(lambda x: 1) # N: Revealed type is "def (x: Any) -> Literal[1]?" [case testLambdaContextVararg] from typing import Callable def f(t: Callable[[str], str]) -> str: '' f(lambda *_: '') [builtins fixtures/tuple.pyi] [case testInvalidContextForLambda] from typing import Callable f = lambda x: A() # type: Callable[[], A] f2 = lambda: A() # type: Callable[[A], A] class A: pass [out] main:2: error: Cannot infer type of lambda main:2: error: Incompatible types in assignment (expression has type "Callable[[Any], A]", variable has type "Callable[[], A]") main:3: error: Cannot infer type of lambda main:3: error: Incompatible types in assignment (expression has type "Callable[[], A]", variable has type "Callable[[A], A]") [case testEllipsisContextForLambda] from typing import Callable f1 = lambda x: 1 # type: Callable[..., int] f2 = lambda: 1 # type: Callable[..., int] f3 = lambda *args, **kwargs: 1 # type: Callable[..., int] f4 = lambda x: x # type: Callable[..., int] g = lambda x: 1 # type: Callable[..., str] [builtins fixtures/dict.pyi] [out] main:6: error: Incompatible types in assignment (expression has type "Callable[[Any], int]", variable has type "Callable[..., str]") main:6: error: Incompatible return value type (got "int", expected "str") [case testEllipsisContextForLambda2] from typing import TypeVar, Callable T = TypeVar('T') def foo(arg: Callable[..., T]) -> None: pass foo(lambda: 1) [case testLambdaNoneInContext] # flags: --no-strict-optional from typing import Callable def f(x: Callable[[], None]) -> None: pass def g(x: Callable[[], int]) -> None: pass f(lambda: None) g(lambda: None) [case testIsinstanceInInferredLambda] from typing import TypeVar, Callable, Optional T = TypeVar('T') S = TypeVar('S') class A: pass class B(A): pass class C(A): pass def f(func: Callable[[T], S], *z: T, r: Optional[S] = None) -> S: pass reveal_type(f(lambda x: 0 if isinstance(x, B) else 1)) # N: Revealed type is "Union[Literal[0]?, Literal[1]?]" f(lambda x: 0 if isinstance(x, B) else 1, A())() # E: "int" not callable f(lambda x: x if isinstance(x, B) else B(), A(), r=B())() # E: "B" not callable f( lambda x: # E: Argument 1 to "f" has incompatible type "Callable[[A], A]"; expected "Callable[[A], B]" B() if isinstance(x, B) else x, # E: Incompatible return value type (got "A", expected "B") A(), r=B()) [builtins fixtures/isinstance.pyi] [case testLambdaWithFastContainerType] from collections.abc import Callable from typing import Never, TypeVar T = TypeVar("T") def f(a: Callable[[], T]) -> None: ... def foo(x: str) -> Never: ... f(lambda: [foo(0)]) # E: Argument 1 to "foo" has incompatible type "int"; expected "str" f(lambda: {"x": foo(0)}) # E: Argument 1 to "foo" has incompatible type "int"; expected "str" [builtins fixtures/tuple.pyi] -- Overloads + generic functions -- ----------------------------- [case testMapWithOverloadedFunc] from foo import * [file foo.pyi] from typing import TypeVar, Callable, List, overload, Any t = TypeVar('t') s = TypeVar('s') def map(f: Callable[[t], s], seq: List[t]) -> List[s]: pass @overload def g(o: object) -> 'B': pass @overload def g(o: 'A', x: Any = None) -> 'B': pass class A: pass class B: pass m = map(g, [A()]) b = m # type: List[B] a = m # type: List[A] # E: Incompatible types in assignment (expression has type "list[B]", variable has type "list[A]") [builtins fixtures/list.pyi] -- Boolean operators -- ----------------- [case testOrOperationInferredFromContext] from typing import List class A: pass class B: pass class C(B): pass a: List[A] b: List[B] c: List[C] if int(): a = a or [] if int(): a = [] or a if int(): b = b or [C()] if int(): a = a or b # E: Incompatible types in assignment (expression has type "Union[list[A], list[B]]", variable has type "list[A]") if int(): b = b or c # E: Incompatible types in assignment (expression has type "Union[list[B], list[C]]", variable has type "list[B]") [builtins fixtures/list.pyi] -- Special cases -- ------------- [case testSomeTypeVarsInferredFromContext] from typing import List, TypeVar t = TypeVar('t') s = TypeVar('s') # Some type variables can be inferred using context, but not all of them. a: List[A] def f(a: s, b: t) -> List[s]: pass class A: pass class B: pass if int(): a = f(A(), B()) if int(): a = f(B(), B()) # E: Argument 1 to "f" has incompatible type "B"; expected "A" [builtins fixtures/list.pyi] [case testSomeTypeVarsInferredFromContext2] from typing import List, TypeVar s = TypeVar('s') t = TypeVar('t') def f(a: s, b: t) -> List[s]: pass class A: pass class B: pass # Like testSomeTypeVarsInferredFromContext, but tvars in different order. a: List[A] if int(): a = f(A(), B()) if int(): a = f(B(), B()) # E: Argument 1 to "f" has incompatible type "B"; expected "A" [builtins fixtures/list.pyi] [case testLambdaInListAndHigherOrderFunction] from typing import TypeVar, Callable, List t = TypeVar('t') s = TypeVar('s') def map(f: List[Callable[[t], s]], a: List[t]) -> List[s]: pass class A: pass map( [lambda x: x], []) [builtins fixtures/list.pyi] [out] [case testChainedAssignmentInferenceContexts] from typing import List i: List[int] s: List[str] if int(): i = i = [] if int(): i = s = [] # E: Incompatible types in assignment (expression has type "list[str]", variable has type "list[int]") [builtins fixtures/list.pyi] [case testContextForAttributeDeclaredInInit] from typing import List class A: def __init__(self): self.x = [] # type: List[int] # N: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs a = A() a.x = [] a.x = [1] a.x = [''] # E: List item 0 has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testListMultiplyInContext] from typing import List a: List[int] if int(): a = [None] * 3 # E: List item 0 has incompatible type "None"; expected "int" a = [''] * 3 # E: List item 0 has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testUnionTypeContext] from typing import Union, List, TypeVar T = TypeVar('T') def f(x: Union[List[T], str]) -> None: pass f([1]) f('') f(1) # E: Argument 1 to "f" has incompatible type "int"; expected "Union[list[Never], str]" [builtins fixtures/isinstancelist.pyi] [case testIgnoringInferenceContext] from typing import TypeVar, List T = TypeVar('T') def f(x: List[T]) -> T: pass def g(y: object) -> None: pass a = [1] g(f(a)) [builtins fixtures/list.pyi] [case testStar2Context] from typing import Any, Dict, Tuple, Iterable def f1(iterable: Iterable[Tuple[str, Any]] = ()) -> None: f2(**dict(iterable)) def f2(iterable: Iterable[Tuple[str, Any]], **kw: Any) -> None: pass [builtins fixtures/dict.pyi] [out] [case testInferenceInGenericFunction] from typing import TypeVar, List T = TypeVar('T') def f(a: T) -> None: l = [] # type: List[T] l.append(a) l.append(1) # E: Argument 1 to "append" of "list" has incompatible type "int"; expected "T" [builtins fixtures/list.pyi] [out] [case testInferenceInGenericClass] from typing import TypeVar, Generic, List S = TypeVar('S') T = TypeVar('T') class A(Generic[S]): def f(self, a: T, b: S) -> None: l = [] # type: List[T] l.append(a) l.append(b) # E: Argument 1 to "append" of "list" has incompatible type "S"; expected "T" [builtins fixtures/list.pyi] [out] [case testLambdaInGenericFunction] from typing import TypeVar, Callable T = TypeVar('T') S = TypeVar('S') def f(a: T, b: S) -> None: c = lambda x: x # type: Callable[[T], S] [out] main:5: error: Incompatible types in assignment (expression has type "Callable[[T], T]", variable has type "Callable[[T], S]") main:5: error: Incompatible return value type (got "T", expected "S") [case testLambdaInGenericClass] from typing import TypeVar, Callable, Generic T = TypeVar('T') S = TypeVar('S') class A(Generic[T]): def f(self, b: S) -> None: c = lambda x: x # type: Callable[[T], S] [out] main:6: error: Incompatible types in assignment (expression has type "Callable[[T], T]", variable has type "Callable[[T], S]") main:6: error: Incompatible return value type (got "T", expected "S") [case testRevealTypeContext] from typing import TypeVar, Callable, Generic T = TypeVar('T') class A(Generic[T]): pass reveal_type(A()) # N: Revealed type is "__main__.A[Never]" b = reveal_type(A()) # type: A[int] # N: Revealed type is "__main__.A[builtins.int]" [case testUnionWithGenericTypeItemContext] from typing import TypeVar, Union, List T = TypeVar('T') def f(x: Union[T, List[int]]) -> Union[T, List[int]]: pass reveal_type(f(1)) # N: Revealed type is "Union[builtins.int, builtins.list[builtins.int]]" reveal_type(f([])) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(f(None)) # N: Revealed type is "Union[None, builtins.list[builtins.int]]" [builtins fixtures/list.pyi] [case testUnionWithGenericTypeItemContextAndStrictOptional] from typing import TypeVar, Union, List T = TypeVar('T') def f(x: Union[T, List[int]]) -> Union[T, List[int]]: pass reveal_type(f(1)) # N: Revealed type is "Union[builtins.int, builtins.list[builtins.int]]" reveal_type(f([])) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(f(None)) # N: Revealed type is "Union[None, builtins.list[builtins.int]]" [builtins fixtures/list.pyi] [case testUnionWithGenericTypeItemContextInMethod] from typing import TypeVar, Union, List, Generic T = TypeVar('T') S = TypeVar('S') class C(Generic[T]): def f(self, x: Union[T, S]) -> Union[T, S]: pass c = C[List[int]]() reveal_type(c.f('')) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.str]" reveal_type(c.f([1])) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(c.f([])) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(c.f(None)) # N: Revealed type is "Union[builtins.list[builtins.int], None]" [builtins fixtures/list.pyi] [case testGenericMethodCalledInGenericContext] from typing import TypeVar, Generic _KT = TypeVar('_KT') _VT = TypeVar('_VT') _T = TypeVar('_T') class M(Generic[_KT, _VT]): def get(self, k: _KT, default: _T) -> _T: ... def f(d: M[_KT, _VT], k: _KT) -> _VT: return d.get(k, None) # E: Incompatible return value type (got "None", expected "_VT") [case testGenericMethodCalledInGenericContext2] from typing import TypeVar, Generic, Union _KT = TypeVar('_KT') _VT = TypeVar('_VT') _T = TypeVar('_T') class M(Generic[_KT, _VT]): def get(self, k: _KT, default: _T) -> Union[_VT, _T]: ... def f(d: M[_KT, _VT], k: _KT) -> Union[_VT, None]: return d.get(k, None) [case testLambdaDeferredCrash] from typing import Callable class C: def f(self) -> None: g: Callable[[], int] = lambda: 1 or self.x self.x = int() [case testInferTypeVariableFromTwoGenericTypes1] from typing import TypeVar, List, Sequence T = TypeVar('T') class C: ... class D(C): ... def f(x: Sequence[T], y: Sequence[T]) -> List[T]: ... reveal_type(f([C()], [D()])) # N: Revealed type is "builtins.list[__main__.C]" [builtins fixtures/list.pyi] [case testInferTypeVariableFromTwoGenericTypes2] from typing import TypeVar, List T = TypeVar('T') class C: ... class D(C): ... def f(x: List[T], y: List[T]) -> List[T]: ... f([C()], [D()]) # E: Cannot infer value of type parameter "T" of "f" [builtins fixtures/list.pyi] [case testInferTypeVariableFromTwoGenericTypes3] from typing import Generic, TypeVar T = TypeVar('T') T_contra = TypeVar('T_contra', contravariant=True) class A(Generic[T_contra]): pass class B(A[T]): pass class C: ... class D(C): ... def f(x: A[T], y: A[T]) -> B[T]: ... c: B[C] d: B[D] reveal_type(f(c, d)) # N: Revealed type is "__main__.B[__main__.D]" [case testInferTypeVariableFromTwoGenericTypes4] from typing import Generic, TypeVar, Callable, List T = TypeVar('T') T_contra = TypeVar('T_contra', contravariant=True) class A(Generic[T_contra]): pass class B(A[T_contra]): pass class C: ... class D(C): ... def f(x: Callable[[B[T]], None], y: Callable[[B[T]], None]) -> List[T]: ... def gc(x: A[C]) -> None: pass # B[C] def gd(x: A[D]) -> None: pass # B[C] reveal_type(f(gc, gd)) # N: Revealed type is "builtins.list[__main__.C]" [builtins fixtures/list.pyi] [case testWideOuterContextSubClassBound] from typing import TypeVar class A: ... class B(A): ... T = TypeVar('T', bound=B) def f(x: T) -> T: ... def outer(x: A) -> None: ... outer(f(B())) x: A = f(B()) [case testWideOuterContextSubClassBoundGenericReturn] from typing import TypeVar, Iterable, List class A: ... class B(A): ... T = TypeVar('T', bound=B) def f(x: T) -> List[T]: ... def outer(x: Iterable[A]) -> None: ... outer(f(B())) x: Iterable[A] = f(B()) [builtins fixtures/list.pyi] [case testWideOuterContextSubClassValues] from typing import TypeVar class A: ... class B(A): ... T = TypeVar('T', B, int) def f(x: T) -> T: ... def outer(x: A) -> None: ... outer(f(B())) x: A = f(B()) [case testWideOuterContextSubClassValuesGenericReturn] from typing import TypeVar, Iterable, List class A: ... class B(A): ... T = TypeVar('T', B, int) def f(x: T) -> List[T]: ... def outer(x: Iterable[A]) -> None: ... outer(f(B())) x: Iterable[A] = f(B()) [builtins fixtures/list.pyi] [case testWideOuterContextSubclassBoundGeneric] from typing import TypeVar, Generic S = TypeVar('S') class A(Generic[S]): ... class B(A[S]): ... T = TypeVar('T', bound=B[int]) def f(x: T) -> T: ... def outer(x: A[int]) -> None: ... y: B[int] outer(f(y)) x: A[int] = f(y) [case testWideOuterContextSubclassBoundGenericCovariant] from typing import TypeVar, Generic S_co = TypeVar('S_co', covariant=True) class A(Generic[S_co]): ... class B(A[S_co]): ... T = TypeVar('T', bound=B[int]) def f(x: T) -> T: ... def outer(x: A[int]) -> None: ... y: B[int] outer(f(y)) x: A[int] = f(y) [case testWideOuterContextSubclassValuesGeneric] from typing import TypeVar, Generic S = TypeVar('S') class A(Generic[S]): ... class B(A[S]): ... T = TypeVar('T', B[int], int) def f(x: T) -> T: ... def outer(x: A[int]) -> None: ... y: B[int] outer(f(y)) x: A[int] = f(y) [case testWideOuterContextSubclassValuesGenericCovariant] from typing import TypeVar, Generic S_co = TypeVar('S_co', covariant=True) class A(Generic[S_co]): ... class B(A[S_co]): ... T = TypeVar('T', B[int], int) def f(x: T) -> T: ... def outer(x: A[int]) -> None: ... y: B[int] outer(f(y)) x: A[int] = f(y) [case testWideOuterContextUnionBound] from typing import TypeVar, Union class A: ... class B: ... T = TypeVar('T', bound=B) def f(x: T) -> T: ... def outer(x: Union[A, B]) -> None: ... outer(f(B())) x: Union[A, B] = f(B()) [case testWideOuterContextUnionBoundGenericReturn] from typing import TypeVar, Union, Iterable, List class A: ... class B: ... T = TypeVar('T', bound=B) def f(x: T) -> List[T]: ... def outer(x: Iterable[Union[A, B]]) -> None: ... outer(f(B())) x: Iterable[Union[A, B]] = f(B()) [builtins fixtures/list.pyi] [case testWideOuterContextUnionValues] from typing import TypeVar, Union class A: ... class B: ... T = TypeVar('T', B, int) def f(x: T) -> T: ... def outer(x: Union[A, B]) -> None: ... outer(f(B())) x: Union[A, B] = f(B()) [case testWideOuterContextUnionValuesGenericReturn] from typing import TypeVar, Union, Iterable, List class A: ... class B: ... T = TypeVar('T', B, int) def f(x: T) -> List[T]: ... def outer(x: Iterable[Union[A, B]]) -> None: ... outer(f(B())) x: Iterable[Union[A, B]] = f(B()) [builtins fixtures/list.pyi] [case testWideOuterContextOptional] from typing import Optional, Type, TypeVar class Custom: pass T = TypeVar('T', bound=Custom) def a(x: T) -> Optional[T]: ... def b(x: T) -> Optional[T]: return a(x) [case testWideOuterContextOptionalGenericReturn] from typing import Optional, Type, TypeVar, Iterable class Custom: pass T = TypeVar('T', bound=Custom) def a(x: T) -> Iterable[Optional[T]]: ... def b(x: T) -> Iterable[Optional[T]]: return a(x) [case testWideOuterContextOptionalMethod] from typing import Optional, Type, TypeVar class A: pass class B: pass T = TypeVar('T', A, B) class C: def meth_a(self) -> Optional[A]: return self.meth(A) def meth(self, cls: Type[T]) -> Optional[T]: ... [case testWideOuterContextValuesOverlapping] from typing import TypeVar, List class A: pass class B(A): pass class C: pass T = TypeVar('T', A, B, C) def foo(xs: List[T]) -> T: ... S = TypeVar('S', B, C) def bar(xs: List[S]) -> S: foo(xs) return xs[0] [builtins fixtures/list.pyi] [case testWideOuterContextOptionalTypeVarReturn] from typing import Callable, Iterable, List, Optional, TypeVar class C: x: str T = TypeVar('T') def f(i: Iterable[T], c: Callable[[T], str]) -> Optional[T]: ... def g(l: List[C], x: str) -> Optional[C]: def pred(c: C) -> str: return c.x return f(l, pred) [builtins fixtures/list.pyi] [case testWideOuterContextOptionalTypeVarReturnLambda] from typing import Callable, Iterable, List, Optional, TypeVar class C: x: str T = TypeVar('T') def f(i: Iterable[T], c: Callable[[T], str]) -> Optional[T]: ... def g(l: List[C], x: str) -> Optional[C]: return f(l, lambda c: reveal_type(c).x) # N: Revealed type is "__main__.C" [builtins fixtures/list.pyi] [case testPartialTypeContextWithTwoLambdas] from typing import Any, Generic, TypeVar, Callable def int_to_any(x: int) -> Any: ... def any_to_int(x: Any) -> int: ... def any_to_str(x: Any) -> str: ... T = TypeVar("T") class W(Generic[T]): def __init__( self, serialize: Callable[[T], Any], deserialize: Callable[[Any], T] ) -> None: ... reveal_type(W(lambda x: int_to_any(x), lambda x: any_to_int(x))) # N: Revealed type is "__main__.W[builtins.int]" W( lambda x: int_to_any(x), # E: Argument 1 to "int_to_any" has incompatible type "str"; expected "int" lambda x: any_to_str(x) ) [case testWideOuterContextEmpty] from typing import List, TypeVar T = TypeVar('T', bound=int) def f(x: List[T]) -> T: ... # mypy infers List[Never] here, and Never is a subtype of str y: str = f([]) [builtins fixtures/list.pyi] [case testWideOuterContextEmptyError] from typing import List, TypeVar T = TypeVar('T', bound=int) def f(x: List[T]) -> List[T]: ... y: List[str] = f([]) [builtins fixtures/list.pyi] [case testWideOuterContextNoArgs] from typing import TypeVar, Optional T = TypeVar('T', bound=int) def f(x: Optional[T] = None) -> T: ... y: str = f() [case testWideOuterContextNoArgsError] from typing import TypeVar, Optional, List T = TypeVar('T', bound=int) def f(x: Optional[T] = None) -> List[T]: ... y: List[str] = f() [builtins fixtures/list.pyi] [case testUseCovariantGenericOuterContext] from typing import TypeVar, Callable, Tuple T = TypeVar('T') def f(x: Callable[..., T]) -> T: return x() x: Tuple[str, ...] = f(tuple) [builtins fixtures/tuple.pyi] [out] [case testUseCovariantGenericOuterContextUserDefined] from typing import TypeVar, Callable, Generic T_co = TypeVar('T_co', covariant=True) T = TypeVar('T') class G(Generic[T_co]): ... def f(x: Callable[..., T]) -> T: return x() x: G[str] = f(G) [out] [case testConditionalExpressionWithEmptyListAndUnionWithAny] from typing import Union, List, Any def f(x: Union[List[str], Any]) -> None: a = x if x else [] reveal_type(a) # N: Revealed type is "Union[builtins.list[builtins.str], Any, builtins.list[Union[builtins.str, Any]]]" [builtins fixtures/list.pyi] [case testConditionalExpressionWithEmptyIteableAndUnionWithAny] from typing import Union, Iterable, Any def f(x: Union[Iterable[str], Any]) -> None: a = x if x else [] reveal_type(a) # N: Revealed type is "Union[typing.Iterable[builtins.str], Any, builtins.list[Union[builtins.str, Any]]]" [builtins fixtures/list.pyi] [case testInferMultipleAnyUnionCovariant] from typing import Any, Mapping, Sequence, Union def foo(x: Union[Mapping[Any, Any], Mapping[Any, Sequence[Any]]]) -> None: ... foo({1: 2}) [builtins fixtures/dict.pyi] [case testInferMultipleAnyUnionInvariant] from typing import Any, Dict, Sequence, Union def foo(x: Union[Dict[Any, Any], Dict[Any, Sequence[Any]]]) -> None: ... foo({1: 2}) [builtins fixtures/dict.pyi] [case testInferMultipleAnyUnionDifferentVariance] from typing import Any, Dict, Mapping, Sequence, Union def foo(x: Union[Dict[Any, Any], Mapping[Any, Sequence[Any]]]) -> None: ... foo({1: 2}) def bar(x: Union[Mapping[Any, Any], Dict[Any, Sequence[Any]]]) -> None: ... bar({1: 2}) [builtins fixtures/dict.pyi] [case testOptionalTypeNarrowedByGenericCall] from typing import Dict, Optional d: Dict[str, str] = {} def foo(arg: Optional[str] = None) -> None: if arg is None: arg = d.get("a", "b") reveal_type(arg) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [case testOptionalTypeNarrowedByGenericCall2] from typing import Dict, Optional d: Dict[str, str] = {} x: Optional[str] if x: reveal_type(x) # N: Revealed type is "builtins.str" x = d.get(x, x) reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [case testOptionalTypeNarrowedByGenericCall3] from typing import Generic, TypeVar, Union T = TypeVar("T") def bar(arg: Union[str, T]) -> Union[str, T]: ... def foo(arg: Union[str, int]) -> None: if isinstance(arg, int): arg = bar("default") reveal_type(arg) # N: Revealed type is "builtins.str" [builtins fixtures/isinstance.pyi] [case testOptionalTypeNarrowedByGenericCall4] from typing import Optional, List, Generic, TypeVar T = TypeVar("T", covariant=True) class C(Generic[T]): ... x: Optional[C[int]] = None y = x = C() reveal_type(y) # N: Revealed type is "__main__.C[builtins.int]" [case testOptionalTypeNarrowedByGenericCall5] from typing import Any, Tuple, Union i: Union[Tuple[Any, ...], int] b: Any i = i if isinstance(i, int) else b reveal_type(i) # N: Revealed type is "Union[Any, builtins.int]" [builtins fixtures/isinstance.pyi] [case testLambdaInferenceUsesNarrowedTypes] from typing import Optional, Callable def f1(key: Callable[[], str]) -> None: ... def f2(key: object) -> None: ... def g(b: Optional[str]) -> None: if b: f1(lambda: reveal_type(b)) # N: Revealed type is "builtins.str" z: Callable[[], str] = lambda: reveal_type(b) # N: Revealed type is "builtins.str" f2(lambda: reveal_type(b)) # N: Revealed type is "builtins.str" lambda: reveal_type(b) # N: Revealed type is "builtins.str" [case testInferenceContextReturningTypeVarUnion] from collections.abc import Callable, Iterable from typing import TypeVar, Union _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") def mymin( iterable: Iterable[_T1], /, *, key: Callable[[_T1], int], default: _T2 ) -> Union[_T1, _T2]: ... def check(paths: Iterable[str], key: Callable[[str], int]) -> Union[str, None]: return mymin(paths, key=key, default=None) [builtins fixtures/tuple.pyi] [case testBinaryOpInferenceContext] from typing import Literal, TypeVar T = TypeVar("T") def identity(x: T) -> T: return x def check1(use: bool, val: str) -> "str | Literal[True]": return use or identity(val) def check2(use: bool, val: str) -> "str | bool": return use or identity(val) def check3(use: bool, val: str) -> "str | Literal[False]": return use and identity(val) def check4(use: bool, val: str) -> "str | bool": return use and identity(val) [builtins fixtures/tuple.pyi] [case testDictAnyOrLiteralInContext] from typing import Union, Optional, Any def f(x: dict[str, Union[str, None, int]]) -> None: pass def g(x: Optional[dict[str, Any]], s: Optional[str]) -> None: f(x or {'x': s}) [builtins fixtures/dict.pyi] [case testReturnFallbackInferenceTuple] from typing import TypeVar, Union T = TypeVar("T") def foo(x: list[T]) -> tuple[T, ...]: ... def bar(x: list[int]) -> tuple[Union[str, int], ...]: return foo(x) def bar2(x: list[int]) -> tuple[Union[str, int], ...]: y = foo(x) return y [builtins fixtures/tuple.pyi] [case testReturnFallbackInferenceUnion] from typing import Generic, TypeVar, Union T = TypeVar("T") class Cls(Generic[T]): pass def inner(c: Cls[T]) -> Union[T, int]: return 1 def outer(c: Cls[T]) -> Union[T, int]: return inner(c) [case testReturnFallbackInferenceAsync] from typing import Generic, TypeVar, Optional T = TypeVar("T") class Cls(Generic[T]): pass async def inner(c: Cls[T]) -> Optional[T]: return None async def outer(c: Cls[T]) -> Optional[T]: return await inner(c) [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-inference.test0000644000175100017510000034472415112307767021054 0ustar00runnerrunner-- Inferring locals/globals with simple types -- ------------------------------------------ [case testInferSimpleGvarType] class A: pass class B: pass x = A() y = B() if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): x = A() if int(): x = y # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): x = x [case testInferSimpleLvarType] import typing def f() -> None: x = A() y = B() if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") x = A() x = y # E: Incompatible types in assignment (expression has type "B", variable has type "A") x = x class A: pass class B: pass [out] [case testLvarInitializedToVoid] import typing def f() -> None: a = g() # E: "g" does not return a value (it only ever returns None) #b, c = g() # "g" does not return a value (it only ever returns None) TODO def g() -> None: pass [out] [case testInferringLvarTypeFromArgument] import typing def f(a: 'A') -> None: b = a if int(): b = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") b = a a = b class A: pass class B: pass [out] [case testInferringLvarTypeFromGvar] g: B def f() -> None: a = g if int(): a = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = B() class A: pass class B: pass [out] [case testInferringImplicitDynamicTypeForLvar] import typing def f() -> None: a = g() None(a) # E: "None" not callable a.x() def g(): pass [out] [case testInferringExplicitDynamicTypeForLvar] from typing import Any g: Any def f(a: Any) -> None: b = g None(b) # E: "None" not callable a.x() [out] -- Inferring types of local variables with complex types -- ----------------------------------------------------- [case testInferringTupleTypeForLvar] def f() -> None: a = A(), B() aa: A bb: B if int(): bb = a[0] # E: Incompatible types in assignment (expression has type "A", variable has type "B") aa = a[1] # E: Incompatible types in assignment (expression has type "B", variable has type "A") aa = a[0] bb = a[1] class A: pass class B: pass [builtins fixtures/tuple.pyi] [out] [case testInferringTupleTypeForLvarWithNones] import typing def f() -> None: a = A(), None b = None, A() class A: pass [builtins fixtures/tuple.pyi] [out] [case testInferringGenericTypeForLvar] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass a_i: A[int] a_s: A[str] def f() -> None: a_int = A() # type: A[int] a = a_int if int(): a = a_s # E: Incompatible types in assignment (expression has type "A[str]", variable has type "A[int]") a = a_i [builtins fixtures/tuple.pyi] [out] [case testInferringFunctionTypeForLvar] import typing def f() -> None: a = g a(B()) # E: Argument 1 has incompatible type "B"; expected "A" a(A()) def g(a: 'A') -> None: pass class A: pass class B: pass [out] [case testInferringFunctionTypeForLvarFromTypeObject] import typing def f() -> None: a = A a(A()) # E: Too many arguments a() t = a # type: type class A: pass [out] -- Inferring variable types in multiple definition -- ----------------------------------------------- [case testInferringLvarTypesInMultiDef] import typing def f() -> None: a, b = A(), B() if int(): a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = A() b = B() class A: pass class B: pass [out] [case testInferringLvarTypesInTupleAssignment] from typing import Tuple def f() -> None: t: Tuple[A, B] a, b = t if int(): a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = A() b = B() class A: pass class B: pass [builtins fixtures/tuple.pyi] [out] [case testInferringLvarTypesInNestedTupleAssignment1] from typing import Tuple def f() -> None: t: Tuple[A, B] a1, (a, b) = A(), t if int(): a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = A() b = B() class A: pass class B: pass [builtins fixtures/tuple.pyi] [out] [case testInferringLvarTypesInNestedTupleAssignment2] import typing def f() -> None: a, (b, c) = A(), (B(), C()) if int(): a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") c = A() # E: Incompatible types in assignment (expression has type "A", variable has type "C") a = A() b = B() c = C() class A: pass class B: pass class C: pass [out] [case testInferringLvarTypesInNestedListAssignment] import typing def f() -> None: a, (b, c) = A(), [B(), C()] if int(): a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") c = A() # E: Incompatible types in assignment (expression has type "A", variable has type "C") a = A() b = B() c = C() class A: pass class B: pass class C: pass [out] [case testInferringLvarTypesInMultiDefWithNoneTypes] import typing def f() -> None: a, b = A(), None c, d = None, A() class A: pass [out] [case testInferringLvarTypesInNestedTupleAssignmentWithNoneTypes] import typing def f() -> None: a1, (a2, b) = A(), (A(), None) class A: pass [out] [case testClassObjectsNotUnpackableWithoutIterableMetaclass] from typing import Type class Foo: ... A: Type[Foo] = Foo a, b = Foo # E: "type[Foo]" object is not iterable c, d = A # E: "type[Foo]" object is not iterable class Meta(type): ... class Bar(metaclass=Meta): ... B: Type[Bar] = Bar e, f = Bar # E: "type[Bar]" object is not iterable g, h = B # E: "type[Bar]" object is not iterable reveal_type(a) # E: Cannot determine type of "a" # N: Revealed type is "Any" reveal_type(b) # E: Cannot determine type of "b" # N: Revealed type is "Any" reveal_type(c) # E: Cannot determine type of "c" # N: Revealed type is "Any" reveal_type(d) # E: Cannot determine type of "d" # N: Revealed type is "Any" reveal_type(e) # E: Cannot determine type of "e" # N: Revealed type is "Any" reveal_type(f) # E: Cannot determine type of "f" # N: Revealed type is "Any" reveal_type(g) # E: Cannot determine type of "g" # N: Revealed type is "Any" reveal_type(h) # E: Cannot determine type of "h" # N: Revealed type is "Any" [out] [case testInferringLvarTypesUnpackedFromIterableClassObject] from typing import Iterator, Type, TypeVar, Union, overload class Meta(type): def __iter__(cls) -> Iterator[int]: yield from [1, 2, 3] class Meta2(type): def __iter__(cls) -> Iterator[str]: yield from ["foo", "bar", "baz"] class Meta3(type): ... class Foo(metaclass=Meta): ... class Bar(metaclass=Meta2): ... class Baz(metaclass=Meta3): ... class Spam: ... class Eggs(metaclass=Meta): @overload def __init__(self, x: int) -> None: ... @overload def __init__(self, x: int, y: int, z: int) -> None: ... def __init__(self, x: int, y: int = ..., z: int = ...) -> None: ... A: Type[Foo] = Foo B: Type[Union[Foo, Bar]] = Foo C: Union[Type[Foo], Type[Bar]] = Foo D: Type[Union[Foo, Baz]] = Foo E: Type[Union[Foo, Spam]] = Foo F: Type[Eggs] = Eggs G: Type[Union[Foo, Eggs]] = Foo a, b, c = Foo d, e, f = A g, h, i = B j, k, l = C m, n, o = D # E: "type[Baz]" object is not iterable p, q, r = E # E: "type[Spam]" object is not iterable s, t, u = Eggs v, w, x = F y, z, aa = G for var in [a, b, c, d, e, f, s, t, u, v, w, x, y, z, aa]: reveal_type(var) # N: Revealed type is "builtins.int" for var2 in [g, h, i, j, k, l]: reveal_type(var2) # N: Revealed type is "Union[builtins.int, builtins.str]" for var3 in [m, n, o, p, q, r]: reveal_type(var3) # N: Revealed type is "Union[builtins.int, Any]" T = TypeVar("T", bound=Type[Foo]) def check(x: T) -> T: a, b, c = x for var in [a, b, c]: reveal_type(var) # N: Revealed type is "builtins.int" return x T2 = TypeVar("T2", bound=Type[Union[Foo, Bar]]) def check2(x: T2) -> T2: a, b, c = x for var in [a, b, c]: reveal_type(var) # N: Revealed type is "Union[builtins.int, builtins.str]" return x T3 = TypeVar("T3", bound=Union[Type[Foo], Type[Bar]]) def check3(x: T3) -> T3: a, b, c = x for var in [a, b, c]: reveal_type(var) # N: Revealed type is "Union[builtins.int, builtins.str]" return x [out] [case testInferringLvarTypesUnpackedFromIterableClassObjectWithGenericIter] from typing import Iterator, Type, TypeVar T = TypeVar("T") class Meta(type): def __iter__(self: Type[T]) -> Iterator[T]: ... class Foo(metaclass=Meta): ... A, B, C = Foo reveal_type(A) # N: Revealed type is "__main__.Foo" reveal_type(B) # N: Revealed type is "__main__.Foo" reveal_type(C) # N: Revealed type is "__main__.Foo" [out] [case testInferringLvarTypesInMultiDefWithInvalidTuple] from typing import Tuple t: Tuple[object, object, object] def f() -> None: a, b = t # Fail c, d, e, f = t # Fail g, h, i = t [builtins fixtures/tuple.pyi] [out] main:5: error: Too many values to unpack (2 expected, 3 provided) main:6: error: Need more than 3 values to unpack (4 expected) [case testInvalidRvalueTypeInInferredMultipleLvarDefinition] import typing def f() -> None: a, b = f # E: "Callable[[], None]" object is not iterable c, d = A() # E: "A" object is not iterable class A: pass [builtins fixtures/for.pyi] [out] [case testInvalidRvalueTypeInInferredNestedTupleAssignment] import typing def f() -> None: a1, (a2, b) = A(), f # E: "Callable[[], None]" object is not iterable a3, (c, d) = A(), A() # E: "A" object is not iterable class A: pass [builtins fixtures/for.pyi] [out] [case testInferringMultipleLvarDefinitionWithListRvalue] from typing import List class C: pass class D: pass def f() -> None: list_c = [C()] list_d = [D()] a, b = list_c c, d, e = list_d if int(): a = D() # E: Incompatible types in assignment (expression has type "D", variable has type "C") b = D() # E: Incompatible types in assignment (expression has type "D", variable has type "C") c = C() # E: Incompatible types in assignment (expression has type "C", variable has type "D") b = c # E: Incompatible types in assignment (expression has type "D", variable has type "C") a = C() b = C() c = D() d = D() e = D() a = b c = d d = e [builtins fixtures/for.pyi] [out] [case testInferringNestedTupleAssignmentWithListRvalue] from typing import List class C: pass class D: pass def f() -> None: list_c = [C()] list_d = [D()] c1, (a, b) = C(), list_c c2, (c, d, e) = C(), list_d if int(): a = D() # E: Incompatible types in assignment (expression has type "D", variable has type "C") b = D() # E: Incompatible types in assignment (expression has type "D", variable has type "C") c = C() # E: Incompatible types in assignment (expression has type "C", variable has type "D") b = c # E: Incompatible types in assignment (expression has type "D", variable has type "C") a = C() b = C() c = D() d = D() e = D() a = b c = d d = e [builtins fixtures/for.pyi] [out] [case testInferringMultipleLvarDefinitionWithImplicitDynamicRvalue] import typing def f() -> None: a, b = g() a.x b.x def g(): pass [case testInferringMultipleLvarDefinitionWithExplicitDynamicRvalue] from typing import Any def f(d: Any) -> None: a, b = d a.x b.x [case testInferringTypesFromIterable] from typing import Iterable class Nums(Iterable[int]): def __iter__(self): pass def __next__(self): pass a, b = Nums() reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.int" if int(): a = b = 1 if int(): a = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): b = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/for.pyi] [case testInferringTypesFromIterableStructuralSubtyping1] from typing import Iterator class Nums: def __iter__(self) -> Iterator[int]: pass a, b = Nums() reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.int" if int(): a = b = 1 if int(): a = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): b = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/for.pyi] [case testInferringTypesFromIterableStructuralSubtyping2] from typing import Self class Nums: def __iter__(self) -> Self: pass def __next__(self) -> int: pass a, b = Nums() reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.int" if int(): a = b = 1 if int(): a = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): b = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/tuple.pyi] -- Type variable inference for generic functions -- --------------------------------------------- [case testInferSimpleGenericFunction] from typing import Tuple, TypeVar T = TypeVar('T') a: A b: B c: Tuple[A, object] def id(a: T) -> T: pass if int(): b = id(a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = id(b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = id(c) # E: Incompatible types in assignment (expression has type "tuple[A, object]", variable has type "A") if int(): a = id(a) b = id(b) c = id(c) class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testInferringGenericFunctionTypeForLvar] from typing import TypeVar T = TypeVar('T') def f() -> None: a = id b: int c: str if int(): b = a(c) # E: Incompatible types in assignment (expression has type "str", variable has type "int") b = a(b) c = a(c) def id(x: T) -> T: return x [out] [case testUnderspecifiedInferenceResult] # flags: --no-strict-optional from typing import TypeVar T = TypeVar('T') class A: pass a: A def ff() -> None: x = f() # E: Need type annotation for "x" reveal_type(x) # N: Revealed type is "Any" def f() -> T: pass # E: A function returning TypeVar should receive at least one argument containing the same TypeVar def g(a: T) -> None: pass g(None) # Ok f() # Ok because not used to infer local variable type g(a) [out] [case testInferenceWithMultipleConstraints] from typing import TypeVar class A: pass class B(A): pass T = TypeVar('T') a: A b: B def f(a: T, b: T) -> T: pass if int(): b = f(a, b) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = f(b, a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = f(a, b) if int(): a = f(b, a) [case testInferenceWithMultipleVariables] from typing import Tuple, TypeVar T = TypeVar('T') S = TypeVar('S') def f(a: T, b: S) -> Tuple[T, S]: pass class A: pass class B: pass a: A b: B taa: Tuple[A, A] tab: Tuple[A, B] tba: Tuple[B, A] if int(): taa = f(a, b) # E: Argument 2 to "f" has incompatible type "B"; expected "A" if int(): taa = f(b, a) # E: Argument 1 to "f" has incompatible type "B"; expected "A" if int(): tba = f(a, b) # E: Argument 1 to "f" has incompatible type "A"; expected "B" \ # E: Argument 2 to "f" has incompatible type "B"; expected "A" if int(): tab = f(a, b) if int(): tba = f(b, a) [builtins fixtures/tuple.pyi] [case testConstraintSolvingWithSimpleGenerics] from typing import TypeVar, Generic T = TypeVar('T') ao: A[object] ab: A[B] ac: A[C] def f(a: 'A[T]') -> 'A[T]': pass def g(a: T) -> T: pass class A(Generic[T]): pass class B: pass class C: pass if int(): ab = f(ao) # E: Argument 1 to "f" has incompatible type "A[object]"; expected "A[B]" ao = f(ab) # E: Argument 1 to "f" has incompatible type "A[B]"; expected "A[object]" if int(): ab = f(ac) # E: Argument 1 to "f" has incompatible type "A[C]"; expected "A[B]" if int(): ab = g(ao) # E: Argument 1 to "g" has incompatible type "A[object]"; expected "A[B]" ao = g(ab) # E: Argument 1 to "g" has incompatible type "A[B]"; expected "A[object]" if int(): ab = f(ab) ac = f(ac) ao = f(ao) if int(): ab = g(ab) ao = g(ao) [case testConstraintSolvingFailureWithSimpleGenerics] from typing import TypeVar, Generic T = TypeVar('T') ao: A[object] ab: A[B] def f(a: 'A[T]', b: 'A[T]') -> None: pass class A(Generic[T]): pass class B: pass f(ao, ab) # E: Cannot infer value of type parameter "T" of "f" f(ab, ao) # E: Cannot infer value of type parameter "T" of "f" f(ao, ao) f(ab, ab) [case testTypeInferenceWithCalleeDefaultArgs] # flags: --no-strict-optional from typing import TypeVar T = TypeVar('T') a = None # type: A o = None # type: object def f(a: T = None) -> T: pass def g(a: T, b: T = None) -> T: pass class A: pass if int(): a = f(o) # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): a = g(a, o) # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): o = f() if int(): o = f(o) if int(): a = f(a) if int(): a = g(a) -- Generic function inference with multiple inheritance -- ---------------------------------------------------- [case testGenericFunctionInferenceWithMultipleInheritance] from typing import TypeVar class I: pass class J: pass class A(I, J): pass class B(I, J): pass class C(I): pass class D(J): pass T = TypeVar('T') def f(a: T, b: T) -> T: pass def g(x: I) -> None: pass a = f(A(), C()) g(a) b = f(A(), B()) g(b) c = f(A(), D()) g(c) # E: Argument 1 to "g" has incompatible type "J"; expected "I" d = f(D(), A()) g(d) # E: Argument 1 to "g" has incompatible type "J"; expected "I" e = f(D(), C()) g(e) # E: Argument 1 to "g" has incompatible type "object"; expected "I" [case testGenericFunctionInferenceWithMultipleInheritance2] from typing import TypeVar class I: pass class J: pass class A(I): pass class B(A, J): pass class C(I, J): pass T = TypeVar('T') def f(a: T, b: T) -> T: pass def g(x: I) -> None: pass def h(x: J) -> None: pass a = f(B(), C()) g(a) h(a) # E: Argument 1 to "h" has incompatible type "I"; expected "J" b = f(C(), B()) g(b) h(b) # E: Argument 1 to "h" has incompatible type "I"; expected "J" c = f(A(), B()) g(a) h(b) # E: Argument 1 to "h" has incompatible type "I"; expected "J" [case testGenericFunctionInferenceWithMultipleInheritance3] from typing import TypeVar class I: pass class J: pass class K(J): pass class A(K): pass class B(A, I): pass class C(I, J): pass T = TypeVar('T') def f(a: T, b: T) -> T: pass def g(x: K) -> None: pass a = f(B(), C()) g(a) # E: Argument 1 to "g" has incompatible type "J"; expected "K" b = f(A(), C()) g(b) # E: Argument 1 to "g" has incompatible type "J"; expected "K" c = f(A(), B()) g(c) [case testPrecedenceOfFirstBaseAsInferenceResult] from typing import TypeVar from abc import abstractmethod, ABCMeta class A: pass class B(A, I, J): pass class C(A, I, J): pass def f(a: T, b: T) -> T: pass T = TypeVar('T') a: A i: I j: J a = f(B(), C()) class I(metaclass=ABCMeta): pass class J(metaclass=ABCMeta): pass [builtins fixtures/tuple.pyi] -- Generic function inference with function arguments -- -------------------------------------------------- [case testNonOverloadedMapInference] from typing import TypeVar, Callable, List t = TypeVar('t') s = TypeVar('s') class A: pass b = bool() def f(x: bool) -> A: pass def mymap(f: Callable[[t], s], a: List[t]) -> List[s]: pass l = mymap(f, [b]) if int(): l = [A()] lb = [b] if int(): l = lb # E: Incompatible types in assignment (expression has type "list[bool]", variable has type "list[A]") [builtins fixtures/for.pyi] [case testGenericFunctionWithTypeTypeAsCallable] from typing import Callable, Type, TypeVar T = TypeVar('T') def f(x: Callable[..., T]) -> T: return x() class A: pass x: Type[A] y = f(x) reveal_type(y) # N: Revealed type is "__main__.A" -- Generic function inference with unions -- -------------------------------------- [case testUnionInference] from typing import TypeVar, Union, List T = TypeVar('T') U = TypeVar('U') def f(x: Union[T, int], y: T) -> T: pass f(1, 'a')() # E: "str" not callable f('a', 1)() # E: "object" not callable f('a', 'a')() # E: "str" not callable f(1, 1)() # E: "int" not callable def g(x: Union[T, List[T]]) -> List[T]: pass def h(x: List[str]) -> None: pass g('a')() # E: "list[str]" not callable # The next line is a case where there are multiple ways to satisfy a constraint # involving a Union. Either T = list[str] or T = str would turn out to be valid, # but mypy doesn't know how to branch on these two options (and potentially have # to backtrack later) and defaults to T = Never. The result is an # awkward error message. Either a better error message, or simply accepting the # call, would be preferable here. g(['a']) # E: Argument 1 to "g" has incompatible type "list[str]"; expected "list[Never]" h(g(['a'])) def i(x: Union[List[T], List[U]], y: List[T], z: List[U]) -> None: pass a = [1] b = ['b'] i(a, a, b) i(b, a, b) i(a, b, b) # E: Argument 1 to "i" has incompatible type "list[int]"; expected "list[str]" [builtins fixtures/list.pyi] [case testCallableListJoinInference] from typing import Any, Callable def fun() -> None: callbacks = [ callback1, callback2, ] for c in callbacks: call(c, 1234) # this must not fail def callback1(i: int) -> int: return i def callback2(i: int) -> str: return 'hello' def call(c: Callable[[int], Any], i: int) -> None: c(i) [builtins fixtures/list.pyi] [out] [case testCallableMeetAndJoin] from typing import Callable, Any, TypeVar class A: ... class B(A): ... def f(c: Callable[[B], int]) -> None: ... c: Callable[[A], int] d: Callable[[B], int] lst = [c, d] reveal_type(lst) # N: Revealed type is "builtins.list[def (__main__.B) -> builtins.int]" T = TypeVar('T') def meet_test(x: Callable[[T], int], y: Callable[[T], int]) -> T: ... CA = Callable[[A], A] CB = Callable[[B], B] ca: Callable[[CA], int] cb: Callable[[CB], int] reveal_type(meet_test(ca, cb)) # N: Revealed type is "def (__main__.A) -> __main__.B" [builtins fixtures/list.pyi] [out] [case testUnionInferenceWithTypeVarValues] from typing import TypeVar, Union AnyStr = TypeVar('AnyStr', bytes, str) def f(x: Union[AnyStr, int], *a: AnyStr) -> None: pass f('foo') f('foo', 'bar') f('foo', b'bar') # E: Value of type variable "AnyStr" of "f" cannot be "Sequence[object]" f(1) f(1, 'foo') f(1, 'foo', b'bar') # E: Value of type variable "AnyStr" of "f" cannot be "Sequence[object]" [builtins fixtures/primitives.pyi] [case testUnionTwoPassInference-skip] from typing import TypeVar, Union, List T = TypeVar('T') U = TypeVar('U') def j(x: Union[List[T], List[U]], y: List[T]) -> List[U]: pass a = [1] b = ['b'] # We could infer: Since List[str] <: List[T], we must have T = str. # Then since List[int] <: Union[List[str], List[U]], and List[int] is # not a subtype of List[str], we must have U = int. # This is not currently implemented. j(a, b) [builtins fixtures/list.pyi] [case testUnionContext] from typing import TypeVar, Union, List T = TypeVar('T') def f() -> List[T]: pass d1 = f() # type: Union[List[int], str] d2 = f() # type: Union[int, str] # E: Incompatible types in assignment (expression has type "list[Never]", variable has type "Union[int, str]") def g(x: T) -> List[T]: pass d3 = g(1) # type: Union[List[int], List[str]] [builtins fixtures/list.pyi] [case testGenericFunctionSubtypingWithUnions] from typing import TypeVar, Union, List T = TypeVar('T') S = TypeVar('S') def k1(x: int, y: List[T]) -> List[Union[T, int]]: pass def k2(x: S, y: List[T]) -> List[Union[T, int]]: pass a = k2 if int(): a = k2 if int(): a = k1 # E: Incompatible types in assignment (expression has type "Callable[[int, list[T@k1]], list[Union[T@k1, int]]]", variable has type "Callable[[S, list[T@k2]], list[Union[T@k2, int]]]") b = k1 if int(): b = k1 if int(): b = k2 [builtins fixtures/list.pyi] [case testAmbiguousUnionContextAndMultipleInheritance] from typing import TypeVar, Union, Generic _T = TypeVar('_T') class T(Generic[_T]): pass class U(Generic[_T]): pass class V(T[_T], U[_T]): pass def wait_for(fut: Union[T[_T], U[_T]]) -> _T: ... reveal_type(wait_for(V[str]())) # N: Revealed type is "builtins.str" [case testAmbiguousUnionContextAndMultipleInheritance2] from typing import TypeVar, Union, Generic _T = TypeVar('_T') _S = TypeVar('_S') class T(Generic[_T, _S]): pass class U(Generic[_T, _S]): pass class V(T[_T, _S], U[_T, _S]): pass def wait_for(fut: Union[T[_T, _S], U[_T, _S]]) -> T[_T, _S]: ... reveal_type(wait_for(V[int, str]())) \ # N: Revealed type is "__main__.T[builtins.int, builtins.str]" -- Literal expressions -- ------------------- [case testDictLiteral] from typing import Dict class A: pass class B: pass def d_ab() -> Dict[A, B]: return {} def d_aa() -> Dict[A, A]: return {} a: A b: B d = {a:b} if int(): d = d_ab() if int(): d = d_aa() # E: Incompatible types in assignment (expression has type "dict[A, A]", variable has type "dict[A, B]") [builtins fixtures/dict.pyi] [case testSetLiteral] from typing import Any, Set a: int x: Any def s_i() -> Set[int]: return set() def s_s() -> Set[str]: return set() s = {a} if int(): s = {x} if int(): s = s_i() if int(): s = s_s() # E: Incompatible types in assignment (expression has type "set[str]", variable has type "set[int]") [builtins fixtures/set.pyi] [case testSetWithStarExpr] s = {1, 2, *(3, 4)} t = {1, 2, *s} reveal_type(s) # N: Revealed type is "builtins.set[builtins.int]" reveal_type(t) # N: Revealed type is "builtins.set[builtins.int]" [builtins fixtures/set.pyi] [case testListLiteralWithFunctionsErasesNames] def f1(x: int) -> int: ... def g1(y: int) -> int: ... def h1(x: int) -> int: ... list_1 = [f1, g1] list_2 = [f1, h1] reveal_type(list_1) # N: Revealed type is "builtins.list[def (builtins.int) -> builtins.int]" reveal_type(list_2) # N: Revealed type is "builtins.list[def (x: builtins.int) -> builtins.int]" def f2(x: int, z: str) -> int: ... def g2(y: int, z: str) -> int: ... def h2(x: int, z: str) -> int: ... list_3 = [f2, g2] list_4 = [f2, h2] reveal_type(list_3) # N: Revealed type is "builtins.list[def (builtins.int, z: builtins.str) -> builtins.int]" reveal_type(list_4) # N: Revealed type is "builtins.list[def (x: builtins.int, z: builtins.str) -> builtins.int]" [builtins fixtures/list.pyi] [case testListLiteralWithSimilarFunctionsErasesName] from typing import Union class A: ... class B(A): ... class C: ... class D: ... def f(x: Union[A, C], y: B) -> A: ... def g(z: Union[B, D], y: A) -> B: ... def h(x: Union[B, D], y: A) -> B: ... list_1 = [f, g] list_2 = [f, h] reveal_type(list_1) # N: Revealed type is "builtins.list[def (__main__.B, y: __main__.B) -> __main__.A]" reveal_type(list_2) # N: Revealed type is "builtins.list[def (x: __main__.B, y: __main__.B) -> __main__.A]" [builtins fixtures/list.pyi] [case testListLiteralWithNameOnlyArgsDoesNotEraseNames] def f(*, x: int) -> int: ... def g(*, y: int) -> int: ... def h(*, x: int) -> int: ... list_1 = [f, g] # E: List item 0 has incompatible type "def f(*, x: int) -> int"; expected "def g(*, y: int) -> int" list_2 = [f, h] [builtins fixtures/list.pyi] -- For statements -- -------------- [case testInferenceOfFor1] a: A b: B class A: pass class B: pass for x in [A()]: b = x # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = x for y in []: # E: Need type annotation for "y" a = y reveal_type(y) # N: Revealed type is "Any" [builtins fixtures/for.pyi] [case testInferenceOfFor2] class A: pass class B: pass class C: pass a: A b: B c: C for x, (y, z) in [(A(), (B(), C()))]: b = x # E: Incompatible types in assignment (expression has type "A", variable has type "B") c = y # E: Incompatible types in assignment (expression has type "B", variable has type "C") a = z # E: Incompatible types in assignment (expression has type "C", variable has type "A") a = x b = y c = z for xx, yy, zz in [(A(), B())]: # E: Need more than 2 values to unpack (3 expected) pass for xx, (yy, zz) in [(A(), B())]: # E: "B" object is not iterable pass for xxx, yyy in [(None, None)]: pass [builtins fixtures/for.pyi] [case testInferenceOfFor3] class A: pass class B: pass a: A b: B for x, y in [[A()]]: b = x # E: Incompatible types in assignment (expression has type "A", variable has type "B") b = y # E: Incompatible types in assignment (expression has type "A", variable has type "B") a = x a = y for e, f in [[]]: # E: Need type annotation for "e" \ # E: Need type annotation for "f" reveal_type(e) # N: Revealed type is "Any" reveal_type(f) # N: Revealed type is "Any" [builtins fixtures/for.pyi] [case testForStatementInferenceWithVoid] def f() -> None: pass for x in f(): # E: "f" does not return a value (it only ever returns None) pass [builtins fixtures/for.pyi] [case testReusingInferredForIndex] import typing class A: pass class B: pass for a in [A()]: pass a = A() if int(): a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") for a in []: pass a = A() a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [builtins fixtures/for.pyi] [case testReusingInferredForIndex2] # flags: --allow-redefinition def f() -> None: for a in [A()]: pass a = A() a if int(): a = B() \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") for a in []: pass # E: Need type annotation for "a" a = A() if int(): a = B() \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") class A: pass class B: pass [builtins fixtures/for.pyi] [out] [case testReusingInferredForIndex3] # flags: --disallow-redefinition def f() -> None: for a in [A()]: pass a = A() a if int(): a = B() \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") for a in []: pass a = A() if int(): a = B() \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") class A: pass class B: pass [builtins fixtures/for.pyi] [out] [case testForStatementIndexNarrowing] from typing import TypedDict class X(TypedDict): hourly: int daily: int x: X for a in ("hourly", "daily"): reveal_type(a) # N: Revealed type is "Union[Literal['hourly']?, Literal['daily']?]" reveal_type(x[a]) # N: Revealed type is "builtins.int" reveal_type(a.upper()) # N: Revealed type is "builtins.str" c = a reveal_type(c) # N: Revealed type is "builtins.str" a = "monthly" reveal_type(a) # N: Revealed type is "builtins.str" a = "yearly" reveal_type(a) # N: Revealed type is "builtins.str" a = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type(a) # N: Revealed type is "builtins.str" d = a reveal_type(d) # N: Revealed type is "builtins.str" b: str for b in ("hourly", "daily"): reveal_type(b) # N: Revealed type is "builtins.str" reveal_type(b.upper()) # N: Revealed type is "builtins.str" [builtins fixtures/for.pyi] [typing fixtures/typing-full.pyi] -- Regression tests -- ---------------- [case testMultipleAssignmentWithPartialDefinition] a: A if int(): x, a = a, a if int(): x = a a = x if int(): x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") a = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") class A: pass [case testMultipleAssignmentWithPartialDefinition2] a: A if int(): a, x = [a, a] if int(): x = a a = x if int(): x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") a = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") class A: pass [builtins fixtures/for.pyi] [case testMultipleAssignmentWithPartialDefinition3] from typing import Any, cast a: A if int(): x, a = cast(Any, a) if int(): x = a a = x if int(): x = object() a = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") class A: pass [case testInferGlobalDefinedInBlock] class A: pass class B: pass if int(): a = A() if int(): a = A() if int(): a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [case testAssigningAnyStrToNone] from typing import Tuple, TypeVar AnyStr = TypeVar('AnyStr', str, bytes) def f(x: AnyStr) -> Tuple[AnyStr]: pass x = None (x,) = f('') reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] -- Inferring attribute types -- ------------------------- [case testInferAttributeType] import typing class A: a = B() class B: pass A().a = B() A().a = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") [case testInferAttributeTypeAndAssignInInit] import typing class A: a = B() def __init__(self) -> None: self.a = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") self.a = B() class B: pass [out] [case testInferAttributeInInit] import typing class B: pass class A: def __init__(self) -> None: self.a = A() self.b = B() a = A() a.a = A() a.b = B() a.a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") a.b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") [case testInferAttributeInInitUsingChainedAssignment] import typing class B: pass class A: def __init__(self) -> None: self.a = self.b = A() a = A() a.a = A() a.b = A() a.a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") a.b = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") -- Lambdas -- ------- [case testInferLambdaType] from typing import List, Callable li = [1] l = lambda: li f1 = l # type: Callable[[], List[int]] f2 = l # type: Callable[[], List[str]] # E: Incompatible types in assignment (expression has type "Callable[[], list[int]]", variable has type "Callable[[], list[str]]") [builtins fixtures/list.pyi] [case testInferLambdaType2] from typing import List, Callable l = lambda: [B()] f1 = l # type: Callable[[], List[B]] f2 = l # type: Callable[[], List[A]] # E: Incompatible types in assignment (expression has type "Callable[[], list[B]]", variable has type "Callable[[], list[A]]") class A: pass class B: pass [builtins fixtures/list.pyi] [case testUninferableLambda] from typing import TypeVar, Callable X = TypeVar('X') def f(x: Callable[[X], X]) -> X: pass y = f(lambda x: x) # E: Need type annotation for "y" [case testUninferableLambdaWithTypeError] from typing import TypeVar, Callable X = TypeVar('X') def f(x: Callable[[X], X], y: str) -> X: pass y = f(lambda x: x, 1) # E: Need type annotation for "y" \ # E: Argument 2 to "f" has incompatible type "int"; expected "str" [case testInferLambdaNone] # flags: --no-strict-optional from typing import Callable def f(x: Callable[[], None]) -> None: pass def g(x: Callable[[], int]) -> None: pass a = lambda: None f(a) g(a) b = lambda: None # type: Callable[[], None] f(b) g(b) [case testLambdaDefaultContext] from typing import Callable def f(a: Callable[..., None] = lambda *a, **k: None): pass def g(a: Callable[..., None] = lambda *a, **k: 1): # E: Incompatible default for argument "a" (default has type "def (*a: Any, **k: Any) -> int", argument has type "Callable[..., None]") pass [builtins fixtures/dict.pyi] [case testLambdaVarargContext] # Should not crash from typing import Callable def f(a: Callable[[int, int, int], int] = lambda *a, **k: 1): pass [builtins fixtures/dict.pyi] [case testLambdaDeferredSpecialCase] from typing import Callable class A: def f(self) -> None: h(lambda: self.x) def g(self) -> None: self.x = 1 def h(x: Callable[[], int]) -> None: pass [case testLambdaJoinWithDynamicConstructor] from typing import Any, Union class Wrapper: def __init__(self, x: Any) -> None: ... def f(cond: bool) -> Any: f = Wrapper if cond else lambda x: x reveal_type(f) # N: Revealed type is "Union[def (x: Any) -> __main__.Wrapper, def (x: Any) -> Any]" return f(3) def g(cond: bool) -> Any: f = lambda x: x if cond else Wrapper reveal_type(f) # N: Revealed type is "def (x: Any) -> Union[Any, def (x: Any) -> __main__.Wrapper]" return f(3) def h(cond: bool) -> Any: f = (lambda x: x) if cond else Wrapper reveal_type(f) # N: Revealed type is "Union[def (x: Any) -> Any, def (x: Any) -> __main__.Wrapper]" return f(3) -- Boolean operators -- ----------------- [case testOrOperationWithGenericOperands] from typing import List a: List[A] o: List[object] a2 = a or [] if int(): a = a2 a2 = o # E: Incompatible types in assignment (expression has type "list[object]", variable has type "list[A]") class A: pass [builtins fixtures/list.pyi] -- Accessing variable before its type has been inferred -- ---------------------------------------------------- [case testAccessGlobalVarBeforeItsTypeIsAvailable] import typing x.y # E: Cannot determine type of "x" # E: Name "x" is used before definition x = object() x.y # E: "object" has no attribute "y" [case testAccessDataAttributeBeforeItsTypeIsAvailable] a: A a.x.y # E: Cannot determine type of "x" class A: def __init__(self) -> None: self.x = object() a.x.y # E: "object" has no attribute "y" -- Ducktype declarations -- --------------------- [case testListWithDucktypeCompatibility] from typing import List, _promote class A: pass @_promote(A) class B: pass a: List[A] x1 = [A(), B()] x2 = [B(), A()] x3 = [B(), B()] if int(): a = x1 if int(): a = x2 if int(): a = x3 \ # E: Incompatible types in assignment (expression has type "list[B]", variable has type "list[A]") \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] [case testListWithDucktypeCompatibilityAndTransitivity] from typing import List, _promote class A: pass @_promote(A) class B: pass @_promote(B) class C: pass a: List[A] x1 = [A(), C()] x2 = [C(), A()] x3 = [B(), C()] if int(): a = x1 if int(): a = x2 if int(): a = x3 \ # E: Incompatible types in assignment (expression has type "list[B]", variable has type "list[A]") \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] -- Inferring type of variable when initialized to an empty collection -- ------------------------------------------------------------------ [case testInferListInitializedToEmpty] a = [] a.append(1) a.append('') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyUsingUpdate] a = [] a.extend(['']) a.append(0) # E: Argument 1 to "append" of "list" has incompatible type "int"; expected "str" [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndNotAnnotated] a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndReadBeforeAppend] a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") if a: pass a.xyz # E: "list[Any]" has no attribute "xyz" a.append('') [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndIncompleteTypeInAppend] a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") a.append([]) a() # E: "list[Any]" not callable [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndMultipleAssignment] a, b = [], [] a.append(1) b.append('') a() # E: "list[int]" not callable b() # E: "list[str]" not callable [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyInFunction] def f() -> None: a = [] a.append(1) a.append('') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndNotAnnotatedInFunction] def f() -> None: a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") def g() -> None: pass a = [] a.append(1) [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndReadBeforeAppendInFunction] def f() -> None: a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") if a: pass a.xyz # E: "list[Any]" has no attribute "xyz" a.append('') [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyInClassBody] class A: a = [] a.append(1) a.append('') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndNotAnnotatedInClassBody] class A: a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") class B: a = [] a.append(1) [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyInMethod] class A: def f(self) -> None: a = [] a.append(1) a.append('') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndNotAnnotatedInMethod] class A: def f(self) -> None: a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyInMethodViaAttribute] class A: def f(self) -> None: # Attributes aren't supported right now. self.a = [] self.a.append(1) self.a.append('') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyInClassBodyAndOverridden] from typing import List class A: def __init__(self) -> None: self.x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") class B(A): @property def x(self) -> List[int]: # E: Cannot override writeable attribute with read-only property return [123] [builtins fixtures/list.pyi] [case testInferSetInitializedToEmpty] a = set() a.add(1) a.add('') # E: Argument 1 to "add" of "set" has incompatible type "str"; expected "int" [builtins fixtures/set.pyi] [case testInferSetInitializedToEmptyUsingDiscard] a = set() a.discard('') a.add(0) # E: Argument 1 to "add" of "set" has incompatible type "int"; expected "str" [builtins fixtures/set.pyi] [case testInferSetInitializedToEmptyUsingUpdate] a = set() a.update({0}) a.add('') # E: Argument 1 to "add" of "set" has incompatible type "str"; expected "int" [builtins fixtures/set.pyi] [case testInferDictInitializedToEmpty] a = {} a[1] = '' a() # E: "dict[int, str]" not callable [builtins fixtures/dict.pyi] [case testInferDictInitializedToEmptyUsingUpdate] a = {} a.update({'': 42}) a() # E: "dict[str, int]" not callable [builtins fixtures/dict.pyi] [case testInferDictInitializedToEmptyUsingUpdateError] a = {} # E: Need type annotation for "a" (hint: "a: dict[, ] = ...") a.update([1, 2]) # E: Argument 1 to "update" of "dict" has incompatible type "list[int]"; expected "SupportsKeysAndGetItem[Any, Any]" \ # N: "list" is missing following "SupportsKeysAndGetItem" protocol member: \ # N: keys a() # E: "dict[Any, Any]" not callable [builtins fixtures/dict.pyi] [case testInferDictInitializedToEmptyAndIncompleteTypeInUpdate] a = {} # E: Need type annotation for "a" (hint: "a: dict[, ] = ...") a[1] = {} b = {} # E: Need type annotation for "b" (hint: "b: dict[, ] = ...") b[{}] = 1 [builtins fixtures/dict.pyi] [case testInferDictInitializedToEmptyAndUpdatedFromMethod] # flags: --no-local-partial-types map = {} def add() -> None: map[1] = 2 [builtins fixtures/dict.pyi] [case testInferDictInitializedToEmptyAndUpdatedFromMethodUnannotated] # flags: --no-local-partial-types map = {} def add(): map[1] = 2 [builtins fixtures/dict.pyi] [case testSpecialCaseEmptyListInitialization] def f(blocks: Any): # E: Name "Any" is not defined \ # N: Did you forget to import it from "typing"? (Suggestion: "from typing import Any") to_process = [] to_process = list(blocks) [builtins fixtures/list.pyi] [case testSpecialCaseEmptyListInitialization2] def f(blocks: object): to_process = [] to_process = list(blocks) # E: No overload variant of "list" matches argument type "object" \ # N: Possible overload variants: \ # N: def [T] __init__(self) -> list[T] \ # N: def [T] __init__(self, x: Iterable[T]) -> list[T] [builtins fixtures/list.pyi] [case testInferListInitializedToEmptyAndAssigned] a = [] if bool(): a = [1] reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" def f(): return [1] b = [] if bool(): b = f() reveal_type(b) # N: Revealed type is "builtins.list[Any]" d = {} if bool(): d = {1: 'x'} reveal_type(d) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" dd = {} # E: Need type annotation for "dd" (hint: "dd: dict[, ] = ...") if bool(): dd = [1] # E: Incompatible types in assignment (expression has type "list[int]", variable has type "dict[Any, Any]") reveal_type(dd) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testInferOrderedDictInitializedToEmpty] from collections import OrderedDict o = OrderedDict() o[1] = 'x' reveal_type(o) # N: Revealed type is "collections.OrderedDict[builtins.int, builtins.str]" d = {1: 'x'} oo = OrderedDict() oo.update(d) reveal_type(oo) # N: Revealed type is "collections.OrderedDict[builtins.int, builtins.str]" [builtins fixtures/dict.pyi] [case testEmptyCollectionAssignedToVariableTwiceIncremental] x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") y = x x = [] reveal_type(x) # N: Revealed type is "builtins.list[Any]" d = {} # E: Need type annotation for "d" (hint: "d: dict[, ] = ...") z = d d = {} reveal_type(d) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [out2] main:1: error: Need type annotation for "x" (hint: "x: list[] = ...") main:4: note: Revealed type is "builtins.list[Any]" main:5: error: Need type annotation for "d" (hint: "d: dict[, ] = ...") main:8: note: Revealed type is "builtins.dict[Any, Any]" [case testEmptyCollectionAssignedToVariableTwiceNoReadIncremental] x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") x = [] [builtins fixtures/list.pyi] [out2] main:1: error: Need type annotation for "x" (hint: "x: list[] = ...") [case testInferAttributeInitializedToEmptyAndAssigned] class C: def __init__(self) -> None: self.a = [] if bool(): self.a = [1] reveal_type(C().a) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testInferAttributeInitializedToEmptyAndAppended] class C: def __init__(self) -> None: self.a = [] if bool(): self.a.append(1) reveal_type(C().a) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testInferAttributeInitializedToEmptyAndAssignedItem] class C: def __init__(self) -> None: self.a = {} if bool(): self.a[0] = 'yes' reveal_type(C().a) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" [builtins fixtures/dict.pyi] [case testInferAttributeInitializedToNoneAndAssigned] class C: def __init__(self) -> None: self.a = None if bool(): self.a = 1 reveal_type(C().a) # N: Revealed type is "Union[builtins.int, None]" [case testInferAttributeInitializedToEmptyNonSelf] class C: def __init__(self) -> None: self.a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") if bool(): a = self a.a = [1] a.a.append(1) reveal_type(C().a) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferAttributeInitializedToEmptyAndAssignedOtherMethod] class C: def __init__(self) -> None: self.a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") def meth(self) -> None: self.a = [1] reveal_type(C().a) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferAttributeInitializedToEmptyAndAppendedOtherMethod] class C: def __init__(self) -> None: self.a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") def meth(self) -> None: self.a.append(1) reveal_type(C().a) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferAttributeInitializedToEmptyAndAssignedItemOtherMethod] class C: def __init__(self) -> None: self.a = {} # E: Need type annotation for "a" (hint: "a: dict[, ] = ...") def meth(self) -> None: self.a[0] = 'yes' reveal_type(C().a) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testInferAttributeInitializedToNoneAndAssignedOtherMethod] class C: def __init__(self) -> None: self.a = None def meth(self) -> None: self.a = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "None") reveal_type(C().a) # N: Revealed type is "None" [case testInferAttributeInitializedToEmptyAndAssignedClassBody] class C: a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") def __init__(self) -> None: self.a = [1] reveal_type(C().a) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferAttributeInitializedToEmptyAndAppendedClassBody] class C: a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") def __init__(self) -> None: self.a.append(1) reveal_type(C().a) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferAttributeInitializedToEmptyAndAssignedItemClassBody] class C: a = {} # E: Need type annotation for "a" (hint: "a: dict[, ] = ...") def __init__(self) -> None: self.a[0] = 'yes' reveal_type(C().a) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testInferAttributeInitializedToNoneAndAssignedClassBody] # flags: --no-local-partial-types class C: a = None def __init__(self) -> None: self.a = 1 reveal_type(C().a) # N: Revealed type is "Union[builtins.int, None]" [case testInferListTypeFromEmptyListAndAny] def f(): return [] def g() -> None: x = [] if bool(): x = f() reveal_type(x) # N: Revealed type is "builtins.list[Any]" y = [] y.extend(f()) reveal_type(y) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferFromEmptyDictWhenUsingIn] d = {} if 'x' in d: d['x'] = 1 reveal_type(d) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" dd = {} if 'x' not in dd: dd['x'] = 1 reveal_type(dd) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" [builtins fixtures/dict.pyi] [case testInferFromEmptyDictWhenUsingInSpecialCase] # flags: --no-strict-optional d = None if 'x' in d: # E: "None" has no attribute "__iter__" (not iterable) pass reveal_type(d) # N: Revealed type is "None" [builtins fixtures/dict.pyi] [case testNoWrongUnreachableWarningWithNoStrictOptionalAndFinalInstance] # flags: --no-strict-optional --warn-unreachable from typing import final, Optional @final class C: ... x: Optional[C] if not x: x = C() [builtins fixtures/dict.pyi] [case testNoWrongUnreachableWarningWithNoStrictOptionalAndEnumLiteral] # flags: --no-strict-optional --warn-unreachable from enum import Enum from typing import Literal, Optional class E(Enum): a = 1 x: Optional[Literal[E.a]] if not x: x = E.a [builtins fixtures/dict.pyi] [case testInferFromEmptyListWhenUsingInWithStrictEquality] # flags: --strict-equality def f() -> None: a = [] if 1 in a: # TODO: This should be an error a.append('x') [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [case testInferListTypeFromInplaceAdd] a = [] a += [1] reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testInferSetTypeFromInplaceOr] # flags: --no-strict-optional a = set() a |= {'x'} reveal_type(a) # N: Revealed type is "builtins.set[builtins.str]" [builtins fixtures/set.pyi] -- Inferring types of variables first initialized to None (partial types) -- ---------------------------------------------------------------------- [case testLocalVariablePartiallyInitializedToNone] def f() -> None: if object(): x = None else: x = 1 x() # E: "int" not callable \ # E: "None" not callable [out] [case testLocalVariablePartiallyTwiceInitializedToNone] def f() -> None: if object(): x = None elif object(): x = None else: x = 1 x() # E: "int" not callable \ # E: "None" not callable [out] [case testLvarInitializedToNoneWithoutType] import typing def f() -> None: a = None a.x() # E: "None" has no attribute "x" [out] [case testGvarPartiallyInitializedToNone] x = None if object(): x = 1 x() # E: "int" not callable \ # E: "None" not callable [case testPartiallyInitializedToNoneAndThenToPartialList] x = None if object(): # Promote from partial None to partial list. x = [] x.append(1) x.append('') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testPartiallyInitializedToNoneAndThenReadPartialList] x = None if object(): # Promote from partial None to partial list. x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") x [builtins fixtures/list.pyi] [case testPartiallyInitializedToNoneAndPartialListAndLeftPartial] def f() -> None: x = None if object(): # Promote from partial None to partial list. x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") [builtins fixtures/list.pyi] [out] [case testPartiallyInitializedToNoneAndThenToIncompleteType-skip] # TODO(ddfisher): fix partial type bug and re-enable from typing import TypeVar, Dict T = TypeVar('T') def f(*x: T) -> Dict[int, T]: pass x = None # E: Need type annotation for "x" if object(): x = f() [builtins fixtures/dict.pyi] [case testPartiallyInitializedVariableDoesNotEscapeScope1] def f() -> None: x = None reveal_type(x) # N: Revealed type is "None" x = 1 [out] [case testPartiallyInitializedVariableDoesNotEscapeScope2] # flags: --no-local-partial-types x = None def f() -> None: x = None x = 1 x() # E: "None" not callable [case testAttributePartiallyInitializedToNone] class A: def f(self) -> None: self.x = None self.x = 1 self.x() # E: "int" not callable [out] [case testAttributePartiallyInitializedToNoneWithMissingAnnotation] class A: def f(self) -> None: self.x = None def g(self) -> None: self.x = 1 self.x() [out] main:6: error: Incompatible types in assignment (expression has type "int", variable has type "None") main:7: error: "None" not callable [case testGlobalInitializedToNoneSetFromFunction] a = None def f(): global a a = 42 [out] [case testGlobalInitializedToNoneSetFromMethod] a = None class C: def m(self): global a a = 42 [out] -- More partial type errors -- ------------------------ [case testPartialTypeErrorSpecialCase1] # flags: --no-local-partial-types # This used to crash. class A: x = None def f(self) -> None: for a in self.x: # E: "None" has no attribute "__iter__" (not iterable) pass [builtins fixtures/for.pyi] [case testPartialTypeErrorSpecialCase2] # This used to crash. class A: x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") def f(self) -> None: for a in self.x: pass [builtins fixtures/for.pyi] [case testPartialTypeErrorSpecialCase3] # flags: --no-local-partial-types class A: x = None def f(self) -> None: for a in A.x: # E: "None" has no attribute "__iter__" (not iterable) pass [builtins fixtures/for.pyi] [case testPartialTypeErrorSpecialCase4] # This used to crash. arr = [] arr.append(arr.append(1)) [builtins fixtures/list.pyi] [out] main:3: error: "append" of "list" does not return a value (it only ever returns None) -- Multipass -- --------- [case testMultipassAndAccessVariableBeforeDefinition] def f() -> None: y = x y() # E: "int" not callable x = 1 [out] [case testMultipassAndAccessInstanceVariableBeforeDefinition] class A: def f(self) -> None: y = self.x y() # E: "int" not callable def g(self) -> None: self.x = 1 [out] [case testMultipassAndTopLevelVariable] y = x # E: Cannot determine type of "x" # E: Name "x" is used before definition y() x = 1+int() [out] [case testMultipassAndDecoratedMethod] from typing import Callable, TypeVar T = TypeVar('T') class A: def f(self) -> None: self.g() # E: Too few arguments for "g" of "A" self.g(1) @dec def g(self, x: str) -> None: pass def dec(f: Callable[[A, str], T]) -> Callable[[A, int], T]: pass [out] [case testMultipassAndDefineAttributeBasedOnNotReadyAttribute] class A: def f(self) -> None: self.y = self.x def g(self) -> None: self.x = 1 def h(self) -> None: self.y() # E: "int" not callable [out] [case testMultipassAndDefineAttributeBasedOnNotReadyAttribute2] class A: def f(self) -> None: self.y = self.x self.z = self.y self.z() # E self.y() # E def g(self) -> None: self.x = 1 def h(self) -> None: self.y() # E [out] main:5: error: "int" not callable main:6: error: "int" not callable main:12: error: "int" not callable [case testMultipassAndPartialTypes] def f() -> None: x = [] y x.append(1) x.append('') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" x.append(y) # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" y = '' [builtins fixtures/list.pyi] [out] [case testMultipassAndPartialTypes2] s = '' n = 0 def f() -> None: global s, n x = [] x.append(y) s = x[0] n = x[0] # E: Incompatible types in assignment (expression has type "str", variable has type "int") x.append(1) # E: Argument 1 to "append" of "list" has incompatible type "int"; expected "str" y = '' [builtins fixtures/list.pyi] [out] [case testMultipassAndPartialTypes3] from typing import Dict def g(d: Dict[str, int]) -> None: pass def f() -> None: x = {} x[1] = y g(x) # E: Argument 1 to "g" has incompatible type "dict[int, str]"; expected "dict[str, int]" x[1] = 1 # E: Incompatible types in assignment (expression has type "int", target has type "str") x[1] = '' y = '' [builtins fixtures/dict.pyi] [out] [case testMultipassAndPartialTypes4] from typing import Dict def g(d: Dict[str, int]) -> None: pass def f() -> None: x = {} y x[1] = 1 g(x) # E: Argument 1 to "g" has incompatible type "dict[int, int]"; expected "dict[str, int]" y = '' [builtins fixtures/dict.pyi] [out] [case testMultipassAndCircularDependency] class A: def f(self) -> None: self.x = self.y # E: Cannot determine type of "y" def g(self) -> None: self.y = self.x [out] [case testMultipassAndPartialTypesSpecialCase1] def f() -> None: y = o x = [] x.append(y) x() # E: "list[int]" not callable o = 1 [builtins fixtures/list.pyi] [out] [case testMultipassAndPartialTypesSpecialCase2] def f() -> None: y = o x = {} x[''] = y x() # E: "dict[str, int]" not callable o = 1 [builtins fixtures/dict.pyi] [out] [case testMultipassAndPartialTypesSpecialCase3] def f() -> None: x = {} # E: Need type annotation for "x" (hint: "x: dict[, ] = ...") y = o z = {} # E: Need type annotation for "z" (hint: "z: dict[, ] = ...") o = 1 [builtins fixtures/dict.pyi] [out] [case testMultipassAndPartialTypesSpecialCase4] def f() -> None: y = o x = None x = y x() # E: "int" not callable o = 1 [out] [case testMultipassAndPartialTypesSpecialCase5] def f() -> None: x = None y = o x = y x() # E: "int" not callable o = 1 [out] [case testMultipassAndClassAttribute] class S: def foo(self) -> int: return R.X class R: X = 2 [case testMultipassAndMultipleFiles] import m def f() -> None: x() x = 0 [file m.py] def g() -> None: y() y = 0 [out] tmp/m.py:2: error: "int" not callable main:3: error: "int" not callable [case testForwardReferenceToDecoratedClassMethod] from typing import TypeVar, Callable T = TypeVar('T') def dec() -> Callable[[T], T]: pass A.g # E: Cannot determine type of "g" # E: Name "A" is used before definition class A: @classmethod def f(cls) -> None: reveal_type(cls.g) # N: Revealed type is "def (x: builtins.str)" @classmethod @dec() def g(cls, x: str) -> None: pass @classmethod def h(cls) -> None: reveal_type(cls.g) # N: Revealed type is "def (x: builtins.str)" reveal_type(A.g) # N: Revealed type is "def (x: builtins.str)" [builtins fixtures/classmethod.pyi] -- Tests for special cases of unification -- -------------------------------------- [case testUnificationRedundantUnion] from typing import Union a: Union[int, str] b: Union[str, tuple] def f(): pass def g(x: Union[int, str]): pass c = a if f() else b g(c) # E: Argument 1 to "g" has incompatible type "Union[int, str, tuple[Any, ...]]"; expected "Union[int, str]" [builtins fixtures/tuple.pyi] [case testUnificationMultipleInheritance] class A: pass class B: def foo(self): pass class C(A, B): pass def f(): pass a1 = B() if f() else C() a1.foo() a2 = C() if f() else B() a2.foo() [case testUnificationMultipleInheritanceAmbiguous] # Show that join_instances_via_supertype() breaks ties using the first base class. class A1: pass class B1: def foo1(self): pass class C1(A1, B1): pass class A2: pass class B2: def foo2(self): pass class C2(A2, B2): pass class D1(C1, C2): pass class D2(C2, C1): pass def f(): pass a1 = D1() if f() else D2() a1.foo1() a2 = D2() if f() else D1() a2.foo2() [case testUnificationEmptyListLeft] def f(): pass a = [] if f() else [0] a() # E: "list[int]" not callable [builtins fixtures/list.pyi] [case testUnificationEmptyListRight] def f(): pass a = [0] if f() else [] a() # E: "list[int]" not callable [builtins fixtures/list.pyi] [case testUnificationEmptyListLeftInContext] from typing import List def f(): pass a = [] if f() else [0] # type: list[int] a() # E: "list[int]" not callable [builtins fixtures/list.pyi] [case testUnificationEmptyListRightInContext] # TODO Find an example that really needs the context from typing import List def f(): pass a = [0] if f() else [] # type: list[int] a() # E: "list[int]" not callable [builtins fixtures/list.pyi] [case testUnificationEmptySetLeft] def f(): pass a = set() if f() else {0} a() # E: "set[int]" not callable [builtins fixtures/set.pyi] [case testUnificationEmptyDictLeft] def f(): pass a = {} if f() else {0: 0} a() # E: "dict[int, int]" not callable [builtins fixtures/dict.pyi] [case testUnificationEmptyDictRight] def f(): pass a = {0: 0} if f() else {} a() # E: "dict[int, int]" not callable [builtins fixtures/dict.pyi] [case testUnificationDictWithEmptyListLeft] def f(): pass a = {0: []} if f() else {0: [0]} a() # E: "dict[int, list[int]]" not callable [builtins fixtures/dict.pyi] [case testUnificationDictWithEmptyListRight] def f(): pass a = {0: [0]} if f() else {0: []} a() # E: "dict[int, list[int]]" not callable [builtins fixtures/dict.pyi] [case testMisguidedSetItem] from typing import Generic, Sequence, TypeVar T = TypeVar('T') class C(Sequence[T], Generic[T]): pass C[0] = 0 [out] main:4: error: Unsupported target for indexed assignment ("type[C[T]]") main:4: error: Invalid type: try using Literal[0] instead? [case testNoCrashOnPartialMember] # flags: --no-local-partial-types class C: x = None def __init__(self) -> None: self.x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") [builtins fixtures/list.pyi] [case testNoCrashOnPartialVariable] from typing import Tuple, TypeVar T = TypeVar('T', bound=str) def f(x: T) -> Tuple[T]: ... x = None (x,) = f('') reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testNoCrashOnPartialVariable2] # flags: --no-local-partial-types from typing import Tuple, TypeVar T = TypeVar('T', bound=str) def f() -> Tuple[T]: ... x = None # E: Need type annotation for "x" if int(): (x,) = f() [builtins fixtures/tuple.pyi] [case testNoCrashOnPartialVariable3] from typing import Tuple, TypeVar T = TypeVar('T') def f(x: T) -> Tuple[T, T]: ... x = None (x, x) = f('') reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testRejectsPartialWithUninhabited] from typing import Generic, TypeVar T = TypeVar('T') class Foo(Generic[T]): ... def check() -> None: x = None # E: Need type annotation for "x" if int(): x = Foo() reveal_type(x) # N: Revealed type is "__main__.Foo[Any]" reveal_type(x) # N: Revealed type is "Union[__main__.Foo[Any], None]" [case testRejectsPartialWithUninhabited2] from typing import Generic, TypeVar T = TypeVar('T') class Foo(Generic[T]): ... x = None # E: Need type annotation for "x" def check() -> None: global x x = Foo() reveal_type(x) # N: Revealed type is "__main__.Foo[Any]" reveal_type(x) # N: Revealed type is "Union[__main__.Foo[Any], None]" [case testRejectsPartialWithUninhabited3] # Without force-rejecting Partial, this crashes: # https://github.com/python/mypy/issues/16573 from typing import Generic, TypeVar T = TypeVar('T') class Foo(Generic[T]): ... def check() -> None: client = None # E: Need type annotation for "client" if client := Foo(): reveal_type(client) # N: Revealed type is "__main__.Foo[Any]" reveal_type(client) # N: Revealed type is "Union[__main__.Foo[Any], None]" client = 0 # E: Incompatible types in assignment (expression has type "int", variable has type "Optional[Foo[Any]]") reveal_type(client) # N: Revealed type is "Union[__main__.Foo[Any], None]" [case testRejectsPartialWithUninhabitedIndependently] from typing import Generic, TypeVar T = TypeVar('T') class Foo(Generic[T]): ... client = None # E: Need type annotation for "client" def bad() -> None: global client client = Foo() reveal_type(client) # N: Revealed type is "__main__.Foo[Any]" def good() -> None: global client client = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Optional[Foo[Any]]") reveal_type(client) # N: Revealed type is "Union[__main__.Foo[Any], None]" def bad2() -> None: global client client = Foo() reveal_type(client) # N: Revealed type is "__main__.Foo[Any]" [case testInferenceNestedTuplesFromGenericIterable] from typing import Tuple, TypeVar T = TypeVar('T') def make_tuple(elem: T) -> Tuple[T]: return (elem,) def main() -> None: ((a, b),) = make_tuple((1, 2)) reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testDontMarkUnreachableAfterInferenceUninhabited] from typing import TypeVar T = TypeVar('T') def f() -> T: pass # E: A function returning TypeVar should receive at least one argument containing the same TypeVar class C: x = f() # E: Need type annotation for "x" def m(self) -> str: return 42 # E: Incompatible return value type (got "int", expected "str") if bool(): f() 1() # E: "int" not callable [builtins fixtures/list.pyi] [out] [case testDontMarkUnreachableAfterInferenceUninhabited2] from typing import TypeVar, Optional T = TypeVar('T') def f(x: Optional[T] = None) -> T: pass class C: x = f() # E: Need type annotation for "x" def m(self) -> str: return 42 # E: Incompatible return value type (got "int", expected "str") if bool(): f() 1() # E: "int" not callable [builtins fixtures/list.pyi] [out] [case testDontMarkUnreachableAfterInferenceUninhabited3] from typing import TypeVar, List T = TypeVar('T') def f(x: List[T]) -> T: pass class C: x = f([]) # E: Need type annotation for "x" def m(self) -> str: return 42 # E: Incompatible return value type (got "int", expected "str") if bool(): f([]) 1() # E: "int" not callable [builtins fixtures/list.pyi] [out] -- --local-partial-types -- --------------------- [case testLocalPartialTypesWithGlobalInitializedToNone] # flags: --local-partial-types x = None # E: Need type annotation for "x" (hint: "x: Optional[] = ...") def f() -> None: global x x = 1 # TODO: "Any" could be a better type here to avoid multiple error messages reveal_type(x) # N: Revealed type is "None" [case testLocalPartialTypesWithGlobalInitializedToNone2] # flags: --local-partial-types x = None # E: Need type annotation for "x" (hint: "x: Optional[] = ...") def f(): global x x = 1 # TODO: "Any" could be a better type here to avoid multiple error messages reveal_type(x) # N: Revealed type is "None" [case testLocalPartialTypesWithGlobalInitializedToNone3] # flags: --local-partial-types --no-strict-optional x = None def f() -> None: global x x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") x = '' reveal_type(x) # N: Revealed type is "builtins.str" [case testLocalPartialTypesWithGlobalInitializedToNoneStrictOptional] # flags: --local-partial-types x = None def f() -> None: global x x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Optional[str]") x = '' def g() -> None: reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" [case testLocalPartialTypesWithGlobalInitializedToNone4] # flags: --local-partial-types --no-strict-optional a = None def f() -> None: reveal_type(a) # N: Revealed type is "builtins.str" # TODO: This should probably be 'builtins.str', since there could be a # call that causes a non-None value to be assigned reveal_type(a) # N: Revealed type is "None" a = '' reveal_type(a) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [case testLocalPartialTypesWithClassAttributeInitializedToNone] # flags: --local-partial-types class A: x = None # E: Need type annotation for "x" (hint: "x: Optional[] = ...") def f(self) -> None: self.x = 1 [case testLocalPartialTypesWithClassAttributeInitializedToEmptyDict] # flags: --local-partial-types class A: x = {} # E: Need type annotation for "x" (hint: "x: dict[, ] = ...") def f(self) -> None: self.x[0] = '' reveal_type(A().x) # N: Revealed type is "builtins.dict[Any, Any]" reveal_type(A.x) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testLocalPartialTypesWithGlobalInitializedToEmptyList] # flags: --local-partial-types a = [] def f() -> None: a[0] reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testLocalPartialTypesWithGlobalInitializedToEmptyList2] # flags: --local-partial-types a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") def f() -> None: a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[Any]" reveal_type(a) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testLocalPartialTypesWithGlobalInitializedToEmptyList3] # flags: --local-partial-types a = [] # E: Need type annotation for "a" (hint: "a: list[] = ...") def f(): a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testLocalPartialTypesWithGlobalInitializedToEmptyDict] # flags: --local-partial-types a = {} def f() -> None: a[0] reveal_type(a) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" a[0] = '' reveal_type(a) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" [builtins fixtures/dict.pyi] [case testLocalPartialTypesWithGlobalInitializedToEmptyDict2] # flags: --local-partial-types a = {} # E: Need type annotation for "a" (hint: "a: dict[, ] = ...") def f() -> None: a[0] = '' reveal_type(a) # N: Revealed type is "builtins.dict[Any, Any]" reveal_type(a) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testLocalPartialTypesWithGlobalInitializedToEmptyDict3] # flags: --local-partial-types a = {} # E: Need type annotation for "a" (hint: "a: dict[, ] = ...") def f(): a[0] = '' reveal_type(a) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testLocalPartialTypesWithNestedFunction] # flags: --local-partial-types def f() -> None: a = {} def g() -> None: a[0] = '' reveal_type(a) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" [builtins fixtures/dict.pyi] [case testLocalPartialTypesWithNestedFunction2] # flags: --local-partial-types def f() -> None: a = [] def g() -> None: a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testLocalPartialTypesWithNestedFunction3] # flags: --local-partial-types --no-strict-optional def f() -> None: a = None def g() -> None: nonlocal a a = '' reveal_type(a) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [case testLocalPartialTypesWithInheritance] # flags: --local-partial-types from typing import Optional class A: x: Optional[str] class B(A): x = None reveal_type(B.x) # N: Revealed type is "None" [case testLocalPartialTypesWithInheritance2] # flags: --local-partial-types class A: x: str class B(A): x = None # E: Incompatible types in assignment (expression has type "None", base class "A" defined the type as "str") [case testLocalPartialTypesWithAnyBaseClass] # flags: --local-partial-types from typing import Any A: Any class B(A): x = None class C(B): y = None [case testLocalPartialTypesInMultipleMroItems] # flags: --local-partial-types from typing import Optional class A: x: Optional[str] class B(A): x = None class C(B): x = None # TODO: Inferring None below is unsafe (https://github.com/python/mypy/issues/3208) reveal_type(B.x) # N: Revealed type is "None" reveal_type(C.x) # N: Revealed type is "None" [case testLocalPartialTypesWithInheritance3] # flags: --local-partial-types from typing import Optional class X: pass class Y(X): pass class A: x: Optional[X] class B(A): x = None x = Y() reveal_type(B.x) # N: Revealed type is "Union[__main__.Y, None]" [case testLocalPartialTypesBinderSpecialCase] # flags: --local-partial-types from typing import List def f(x): pass class A: x = None # E: Need type annotation for "x" (hint: "x: Optional[] = ...") def f(self, p: List[str]) -> None: self.x = f(p) f(z for z in p) [builtins fixtures/list.pyi] [case testLocalPartialTypesAccessPartialNoneAttribute] # flags: --local-partial-types class C: a = None # E: Need type annotation for "a" (hint: "a: Optional[] = ...") def f(self, x) -> None: C.a.y # E: Item "None" of "Optional[Any]" has no attribute "y" [case testLocalPartialTypesAccessPartialNoneAttribute2] # flags: --local-partial-types class C: a = None # E: Need type annotation for "a" (hint: "a: Optional[] = ...") def f(self, x) -> None: self.a.y # E: Item "None" of "Optional[Any]" has no attribute "y" -- Special case for assignment to '_' -- ---------------------------------- [case testUnusedTargetLocal] def foo() -> None: _ = 0 _ = '' [case testUnusedTargetNotGlobal] _ = 0 _ = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testUnusedTargetNotClass] # flags: --allow-redefinition class C: _, _ = 0, 0 _ = '' reveal_type(C._) # N: Revealed type is "builtins.str" [case testUnusedTargetNotClass2] # flags: --disallow-redefinition class C: _, _ = 0, 0 _ = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(C._) # N: Revealed type is "builtins.int" [case testUnusedTargetTupleUnpacking] def foo() -> None: _, _ = (0, '') _ = 0 _ = '' def bar() -> None: t = (0, '') _, _ = t _ = 0 _ = '' [builtins fixtures/tuple.pyi] [case testUnusedTargetMultipleTargets] def foo() -> None: _ = x = 0 _ = y = '' _ = 0 _ = '' def bar() -> None: x = _ = 0 y = _ = '' _ = 0 _ = '' x + 0 y + '' x + '' # E: Unsupported operand types for + ("int" and "str") y + 0 # E: Unsupported operand types for + ("str" and "int") [builtins fixtures/primitives.pyi] [case testUnusedTargetNotImport] import d, c, b, a [file _.py] def f(): pass [file m.py] def f(): pass _ = f _ = 0 # E: Incompatible types in assignment (expression has type "int", variable has type "Callable[[], Any]") [file a.py] def foo() -> None: import _ _.f() _ = 0 # E: Incompatible types in assignment (expression has type "int", variable has type Module) [file b.py] def foo() -> None: import m as _ _.f() _ = 0 # E: Incompatible types in assignment (expression has type "int", variable has type Module) [file c.py] def foo() -> None: from m import _ _() _ = '' # E: Incompatible types in assignment (expression has type "str", variable has type "Callable[[], Any]") [file d.py] def foo() -> None: from m import f as _ _() _ = 0 # E: Incompatible types in assignment (expression has type "int", variable has type "Callable[[], Any]") [builtins fixtures/module.pyi] [case testUnderscoreClass] def foo() -> None: class _: pass _().method() # E: "_" has no attribute "method" [case testUnusedTargetForLoop] def f() -> None: a = [(0, '', 0)] for _, _, x in a: x = 0 x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") _ = 0 _ = '' [builtins fixtures/list.pyi] [case testUnusedTargetWithClause] class C: def __enter__(self) -> int: pass def __exit__(self, *args): pass def f() -> None: with C() as _: pass _ = 0 _ = '' [builtins fixtures/tuple.pyi] [case testUnusedTargetNotExceptClause] # Things don't work for except clauses. # This is due to the implementation, but it's just as well. def f() -> None: try: pass except BaseException as _: _ = 0 # E: Incompatible types in assignment (expression has type "int", variable has type "BaseException") _ = '' # E: Incompatible types in assignment (expression has type "str", variable has type "BaseException") [builtins fixtures/exception.pyi] -- Tests for permissive toplevel checking -- -------------- [case testPermissiveAttributeOverride1] # flags: --allow-untyped-globals class A: x = None class B(A): x = 12 class C(A): x = '12' reveal_type(A.x) # N: Revealed type is "Union[Any, None]" reveal_type(B.x) # N: Revealed type is "builtins.int" reveal_type(C.x) # N: Revealed type is "builtins.str" [case testPermissiveAttributeOverride2] # flags: --allow-untyped-globals class A: x = [] class B(A): x = [12] class C(A): x = ['12'] reveal_type(A.x) # N: Revealed type is "builtins.list[Any]" reveal_type(B.x) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(C.x) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/list.pyi] [case testPermissiveAttribute] # flags: --allow-untyped-globals class A: x = [] def f(self) -> None: reveal_type(self.x) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testPermissiveGlobalContainer1] # flags: --allow-untyped-globals --local-partial-types import a [file b.py] x = [] y = {} def foo() -> None: reveal_type(x) # N: Revealed type is "builtins.list[Any]" reveal_type(y) # N: Revealed type is "builtins.dict[Any, Any]" [file a.py] from b import x, y reveal_type(x) # N: Revealed type is "builtins.list[Any]" reveal_type(y) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testPermissiveGlobalContainer2] # flags: --allow-untyped-globals import a [file b.py] x = [] y = {} def foo() -> None: reveal_type(x) # N: Revealed type is "builtins.list[Any]" reveal_type(y) # N: Revealed type is "builtins.dict[Any, Any]" [file a.py] from b import x, y reveal_type(x) # N: Revealed type is "builtins.list[Any]" reveal_type(y) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testPermissiveGlobalContainer3] # flags: --allow-untyped-globals --local-partial-types import a [file b.py] x = [] y = {} z = y [file a.py] from b import x, y reveal_type(x) # N: Revealed type is "builtins.list[Any]" reveal_type(y) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testPermissiveGlobalContainer4] # flags: --allow-untyped-globals import a [file b.py] x = [] y = {} z = y [file a.py] from b import x, y reveal_type(x) # N: Revealed type is "builtins.list[Any]" reveal_type(y) # N: Revealed type is "builtins.dict[Any, Any]" [builtins fixtures/dict.pyi] [case testInheritedAttributeNoStrictOptional] # flags: --no-strict-optional class A: x: str class B(A): x = None x = '' reveal_type(x) # N: Revealed type is "builtins.str" [case testIncompatibleInheritedAttributeNoStrictOptional] # flags: --no-strict-optional class A: x: str class B(A): x = None x = 2 # E: Incompatible types in assignment (expression has type "int", base class "A" defined the type as "str") [case testInheritedAttributeStrictOptional] class A: x: str class B(A): x = None # E: Incompatible types in assignment (expression has type "None", base class "A" defined the type as "str") x = '' [case testNeedAnnotationForCallable] from typing import TypeVar, Optional, Callable T = TypeVar('T') def f(x: Optional[T] = None) -> Callable[..., T]: ... x = f() # E: Need type annotation for "x" y = x [case testDontNeedAnnotationForCallable] from typing import TypeVar, Optional, Callable, NoReturn T = TypeVar('T') def f() -> Callable[..., NoReturn]: ... x = f() reveal_type(x) # N: Revealed type is "def (*Any, **Any) -> Never" [case testDeferralInNestedScopes] def g() -> None: def f() -> None: x + 'no way' # E: Unsupported operand types for + ("int" and "str") x = int() f() [case testDeferralOfMemberNested] from typing import Tuple def f() -> None: c: C t: Tuple[str, Tuple[str, str]] x, (y, c.a) = t # E: Incompatible types in assignment (expression has type "str", variable has type "int") class C: def __init__(self, a: int) -> None: self.a = a [builtins fixtures/tuple.pyi] [case testUnionGenericWithBoundedVariable] from typing import Generic, TypeVar, Union class A: ... class B(A): ... T = TypeVar('T', bound=A) class Z(Generic[T]): def __init__(self, y: T) -> None: self.y = y F = TypeVar('F', bound=A) def q1(x: Union[F, Z[F]]) -> F: if isinstance(x, Z): return x.y else: return x def q2(x: Union[Z[F], F]) -> F: if isinstance(x, Z): return x.y else: return x b: B reveal_type(q1(b)) # N: Revealed type is "__main__.B" reveal_type(q2(b)) # N: Revealed type is "__main__.B" z: Z[B] reveal_type(q1(z)) # N: Revealed type is "__main__.B" reveal_type(q2(z)) # N: Revealed type is "__main__.B" reveal_type(q1(Z(b))) # N: Revealed type is "__main__.B" reveal_type(q2(Z(b))) # N: Revealed type is "__main__.B" [builtins fixtures/isinstancelist.pyi] [case testUnionInvariantSubClassAndCovariantBase] from typing import Union, Generic, TypeVar T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) class Cov(Generic[T_co]): ... class Inv(Cov[T]): ... X = Union[Cov[T], Inv[T]] def f(x: X[T]) -> T: ... x: Inv[int] reveal_type(f(x)) # N: Revealed type is "builtins.int" [case testOptionalTypeVarAgainstOptional] from typing import Optional, TypeVar, Iterable, Iterator, List _T = TypeVar('_T') def filter(__function: None, __iterable: Iterable[Optional[_T]]) -> List[_T]: ... x: Optional[str] y = filter(None, [x]) reveal_type(y) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/list.pyi] [case testPartialDefaultDict] from collections import defaultdict x = defaultdict(int) x[''] = 1 reveal_type(x) # N: Revealed type is "collections.defaultdict[builtins.str, builtins.int]" y = defaultdict(int) # E: Need type annotation for "y" z = defaultdict(int) # E: Need type annotation for "z" z[''] = '' reveal_type(z) # N: Revealed type is "collections.defaultdict[Any, Any]" [builtins fixtures/dict.pyi] [case testPartialDefaultDictInconsistentValueTypes] from collections import defaultdict a = defaultdict(int) # E: Need type annotation for "a" a[''] = '' a[''] = 1 reveal_type(a) # N: Revealed type is "collections.defaultdict[builtins.str, builtins.int]" [builtins fixtures/dict.pyi] [case testPartialDefaultDictListValue] # flags: --no-strict-optional from collections import defaultdict a = defaultdict(list) a['x'].append(1) reveal_type(a) # N: Revealed type is "collections.defaultdict[builtins.str, builtins.list[builtins.int]]" b = defaultdict(lambda: []) b[1].append('x') reveal_type(b) # N: Revealed type is "collections.defaultdict[builtins.int, builtins.list[builtins.str]]" [builtins fixtures/dict.pyi] [case testPartialDefaultDictListValueStrictOptional] from collections import defaultdict a = defaultdict(list) a['x'].append(1) reveal_type(a) # N: Revealed type is "collections.defaultdict[builtins.str, builtins.list[builtins.int]]" b = defaultdict(lambda: []) b[1].append('x') reveal_type(b) # N: Revealed type is "collections.defaultdict[builtins.int, builtins.list[builtins.str]]" [builtins fixtures/dict.pyi] [case testPartialDefaultDictSpecialCases] from collections import defaultdict class A: def f(self) -> None: self.x = defaultdict(list) self.x['x'].append(1) reveal_type(self.x) # N: Revealed type is "collections.defaultdict[builtins.str, builtins.list[builtins.int]]" self.y = defaultdict(list) # E: Need type annotation for "y" s = self s.y['x'].append(1) x = {} # E: Need type annotation for "x" (hint: "x: dict[, ] = ...") x['x'].append(1) y = defaultdict(list) # E: Need type annotation for "y" y[[]].append(1) [builtins fixtures/dict.pyi] [case testPartialDefaultDictSpecialCases2] from collections import defaultdict x = defaultdict(lambda: [1]) # E: Need type annotation for "x" x[1].append('') # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" reveal_type(x) # N: Revealed type is "collections.defaultdict[Any, builtins.list[builtins.int]]" xx = defaultdict(lambda: {'x': 1}) # E: Need type annotation for "xx" xx[1]['z'] = 3 reveal_type(xx) # N: Revealed type is "collections.defaultdict[Any, builtins.dict[builtins.str, builtins.int]]" y = defaultdict(dict) # E: Need type annotation for "y" y['x'][1] = [3] z = defaultdict(int) # E: Need type annotation for "z" z[1].append('') reveal_type(z) # N: Revealed type is "collections.defaultdict[Any, Any]" [builtins fixtures/dict.pyi] [case testPartialDefaultDictSpecialCase3] from collections import defaultdict x = defaultdict(list) x['a'] = [1, 2, 3] reveal_type(x) # N: Revealed type is "collections.defaultdict[builtins.str, builtins.list[builtins.int]]" y = defaultdict(list) # E: Need type annotation for "y" y['a'] = [] reveal_type(y) # N: Revealed type is "collections.defaultdict[Any, Any]" [builtins fixtures/dict.pyi] [case testInferCallableReturningNone1] # flags: --no-strict-optional from typing import Callable, TypeVar T = TypeVar("T") def f(x: Callable[[], T]) -> T: return x() reveal_type(f(lambda: None)) # N: Revealed type is "None" reveal_type(f(lambda: 1)) # N: Revealed type is "builtins.int" def g() -> None: pass reveal_type(f(g)) # N: Revealed type is "None" [case testInferCallableReturningNone2] from typing import Callable, TypeVar T = TypeVar("T") def f(x: Callable[[], T]) -> T: return x() reveal_type(f(lambda: None)) # N: Revealed type is "None" reveal_type(f(lambda: 1)) # N: Revealed type is "builtins.int" def g() -> None: pass reveal_type(f(g)) # N: Revealed type is "None" [case testInferredTypeIsSimpleNestedList] from typing import Any, Union, List y: Union[List[Any], Any] x: Union[List[Any], Any] x = [y] reveal_type(x) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferredTypeIsSimpleNestedIterable] from typing import Any, Union, Iterable y: Union[Iterable[Any], Any] x: Union[Iterable[Any], Any] x = [y] reveal_type(x) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferredTypeIsSimpleNestedListLoop] from typing import Any, Union, List def test(seq: List[Union[List, Any]]) -> None: k: Union[List, Any] for k in seq: if bool(): k = [k] reveal_type(k) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testInferredTypeIsSimpleNestedIterableLoop] from typing import Any, Union, List, Iterable def test(seq: List[Union[Iterable, Any]]) -> None: k: Union[Iterable, Any] for k in seq: if bool(): k = [k] reveal_type(k) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testErasedTypeRuntimeCoverage] # https://github.com/python/mypy/issues/11913 from typing import TypeVar, Type, Generic, Callable, Iterable class DataType: ... T1 = TypeVar('T1') T2 = TypeVar("T2", bound=DataType) def map(__func: T1) -> None: ... def collection_from_dict_value(model: Type[T2]) -> None: map(lambda i: i if isinstance(i, model) else i) [builtins fixtures/isinstancelist.pyi] [case testRegression11705_Strict] # See: https://github.com/python/mypy/issues/11705 from typing import Dict, Optional, NamedTuple class C(NamedTuple): x: int t: Optional[C] d: Dict[C, bytes] x = t and d[t] reveal_type(x) # N: Revealed type is "Union[None, builtins.bytes]" if x: reveal_type(x) # N: Revealed type is "builtins.bytes" [builtins fixtures/dict.pyi] [case testRegression11705_NoStrict] # flags: --no-strict-optional # See: https://github.com/python/mypy/issues/11705 from typing import Dict, Optional, NamedTuple class C(NamedTuple): x: int t: Optional[C] d: Dict[C, bytes] x = t and d[t] reveal_type(x) # N: Revealed type is "builtins.bytes" if x: reveal_type(x) # N: Revealed type is "builtins.bytes" [builtins fixtures/dict.pyi] [case testSuggestPep604AnnotationForPartialNone] # flags: --local-partial-types --python-version 3.10 --no-force-union-syntax x = None # E: Need type annotation for "x" (hint: "x: | None = ...") [case testTupleContextFromIterable] from typing import TypeVar, Iterable, List, Union T = TypeVar("T") def foo(x: List[T]) -> List[T]: ... x: Iterable[List[Union[int, str]]] = (foo([1]), foo(["a"])) [builtins fixtures/tuple.pyi] [case testTupleContextFromIterable2] from typing import Dict, Iterable, Tuple, Union def foo(x: Union[Tuple[str, Dict[str, int], str], Iterable[object]]) -> None: ... foo(("a", {"a": "b"}, "b")) [builtins fixtures/dict.pyi] [case testUseSupertypeAsInferenceContext] from typing import List, Optional class B: x: List[Optional[int]] class C(B): x = [1] reveal_type(C().x) # N: Revealed type is "builtins.list[Union[builtins.int, None]]" [builtins fixtures/list.pyi] [case testUseSupertypeAsInferenceContextInvalidType] from typing import List class P: x: List[int] class C(P): x = ['a'] # E: List item 0 has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testUseSupertypeAsInferenceContextPartial] from typing import List class A: x: List[str] class B(A): x = [] reveal_type(B().x) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/list.pyi] [case testUseSupertypeAsInferenceContextPartialError] class A: x = ['a', 'b'] class B(A): x = [] x.append(2) # E: Argument 1 to "append" of "list" has incompatible type "int"; expected "str" [builtins fixtures/list.pyi] [case testUseSupertypeAsInferenceContextPartialErrorProperty] from typing import List class P: @property def x(self) -> List[int]: ... class C(P): x = [] C.x.append("no") # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [case testUseSupertypeAsInferenceContextConflict] from typing import List class P: x: List[int] class M: x: List[str] class C(P, M): x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") reveal_type(C.x) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testNoPartialInSupertypeAsContext] class A: args = {} # E: Need type annotation for "args" (hint: "args: dict[, ] = ...") def f(self) -> None: value = {1: "Hello"} class B(A): args = value [builtins fixtures/dict.pyi] [case testInferSimpleLiteralInClassBodyCycle] import a [file a.py] import b reveal_type(b.B.x) class A: x = 42 [file b.py] import a reveal_type(a.A.x) class B: x = 42 [out] tmp/b.py:2: note: Revealed type is "builtins.int" tmp/a.py:2: note: Revealed type is "builtins.int" [case testUnionTypeCallableInference] from typing import Callable, Type, TypeVar, Union class A: def __init__(self, x: str) -> None: ... T = TypeVar("T") def type_or_callable(value: T, tp: Union[Type[T], Callable[[int], T]]) -> T: ... reveal_type(type_or_callable(A("test"), A)) # N: Revealed type is "__main__.A" [case testUpperBoundAsInferenceFallback] from typing import Callable, TypeVar, Any, Mapping, Optional T = TypeVar("T", bound=Mapping[str, Any]) def raises(opts: Optional[T]) -> T: pass def assertRaises(cb: Callable[..., object]) -> None: pass assertRaises(raises) # OK [builtins fixtures/dict.pyi] [case testJoinWithAnyFallback] from unknown import X # type: ignore[import] class A: ... class B(X, A): ... class C(B): ... class D(C): ... class E(D): ... reveal_type([E(), D()]) # N: Revealed type is "builtins.list[__main__.D]" reveal_type([D(), E()]) # N: Revealed type is "builtins.list[__main__.D]" [case testCallableInferenceAgainstCallablePosVsStar] from typing import TypeVar, Callable, Tuple T = TypeVar('T') S = TypeVar('S') def f(x: Callable[[T, S], None]) -> Tuple[T, S]: ... def g(*x: int) -> None: ... reveal_type(f(g)) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/list.pyi] [case testCallableInferenceAgainstCallableStarVsPos] from typing import TypeVar, Callable, Tuple, Protocol T = TypeVar('T', contravariant=True) S = TypeVar('S', contravariant=True) class Call(Protocol[T, S]): def __call__(self, __x: T, *args: S) -> None: ... def f(x: Call[T, S]) -> Tuple[T, S]: ... def g(*x: int) -> None: ... reveal_type(f(g)) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/list.pyi] [case testCallableInferenceAgainstCallableNamedVsStar] from typing import TypeVar, Callable, Tuple, Protocol T = TypeVar('T', contravariant=True) S = TypeVar('S', contravariant=True) class Call(Protocol[T, S]): def __call__(self, *, x: T, y: S) -> None: ... def f(x: Call[T, S]) -> Tuple[T, S]: ... def g(**kwargs: int) -> None: ... reveal_type(f(g)) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/list.pyi] [case testCallableInferenceAgainstCallableStarVsNamed] from typing import TypeVar, Callable, Tuple, Protocol T = TypeVar('T', contravariant=True) S = TypeVar('S', contravariant=True) class Call(Protocol[T, S]): def __call__(self, *, x: T, **kwargs: S) -> None: ... def f(x: Call[T, S]) -> Tuple[T, S]: ... def g(**kwargs: int) -> None: pass reveal_type(f(g)) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/list.pyi] [case testCallableInferenceAgainstCallableNamedVsNamed] from typing import TypeVar, Callable, Tuple, Protocol T = TypeVar('T', contravariant=True) S = TypeVar('S', contravariant=True) class Call(Protocol[T, S]): def __call__(self, *, x: T, y: S) -> None: ... def f(x: Call[T, S]) -> Tuple[T, S]: ... # Note: order of names is different w.r.t. protocol def g(*, y: int, x: str) -> None: pass reveal_type(f(g)) # N: Revealed type is "tuple[builtins.str, builtins.int]" [builtins fixtures/list.pyi] [case testCallableInferenceAgainstCallablePosOnlyVsNamed] from typing import TypeVar, Callable, Tuple, Protocol T = TypeVar('T', contravariant=True) S = TypeVar('S', contravariant=True) class Call(Protocol[T]): def __call__(self, *, x: T) -> None: ... def f(x: Call[T]) -> Tuple[T, T]: ... def g(__x: str) -> None: pass reveal_type(f(g)) # N: Revealed type is "tuple[Never, Never]" \ # E: Argument 1 to "f" has incompatible type "Callable[[str], None]"; expected "Call[Never]" \ # N: "Call[Never].__call__" has type "def __call__(self, *, x: Never) -> None" [builtins fixtures/list.pyi] [case testCallableInferenceAgainstCallableNamedVsPosOnly] from typing import TypeVar, Callable, Tuple, Protocol T = TypeVar('T', contravariant=True) S = TypeVar('S', contravariant=True) class Call(Protocol[T]): def __call__(self, __x: T) -> None: ... def f(x: Call[T]) -> Tuple[T, T]: ... def g(*, x: str) -> None: pass reveal_type(f(g)) # N: Revealed type is "tuple[Never, Never]" \ # E: Argument 1 to "f" has incompatible type "def g(*, x: str) -> None"; expected "Call[Never]" \ # N: "Call[Never].__call__" has type "Callable[[Never], None]" [builtins fixtures/list.pyi] [case testCallableInferenceAgainstCallablePosOnlyVsKwargs] from typing import TypeVar, Callable, Tuple, Protocol T = TypeVar('T', contravariant=True) S = TypeVar('S', contravariant=True) class Call(Protocol[T]): def __call__(self, __x: T) -> None: ... def f(x: Call[T]) -> Tuple[T, T]: ... def g(**x: str) -> None: pass reveal_type(f(g)) # N: Revealed type is "tuple[Never, Never]" \ # E: Argument 1 to "f" has incompatible type "def g(**x: str) -> None"; expected "Call[Never]" \ # N: "Call[Never].__call__" has type "Callable[[Never], None]" [builtins fixtures/list.pyi] [case testCallableInferenceAgainstCallableNamedVsArgs] from typing import TypeVar, Callable, Tuple, Protocol T = TypeVar('T', contravariant=True) S = TypeVar('S', contravariant=True) class Call(Protocol[T]): def __call__(self, *, x: T) -> None: ... def f(x: Call[T]) -> Tuple[T, T]: ... def g(*args: str) -> None: pass reveal_type(f(g)) # N: Revealed type is "tuple[Never, Never]" \ # E: Argument 1 to "f" has incompatible type "def g(*args: str) -> None"; expected "Call[Never]" \ # N: "Call[Never].__call__" has type "def __call__(self, *, x: Never) -> None" [builtins fixtures/list.pyi] [case testInferenceAgainstTypeVarActualBound] from typing import Callable, TypeVar T = TypeVar("T") S = TypeVar("S") def test(f: Callable[[T], S]) -> Callable[[T], S]: ... F = TypeVar("F", bound=Callable[..., object]) def dec(f: F) -> F: reveal_type(test(f)) # N: Revealed type is "def (Any) -> builtins.object" return f [case testInferenceAgainstTypeVarActualUnionBound] from typing import Protocol, TypeVar, Union T_co = TypeVar("T_co", covariant=True) class SupportsFoo(Protocol[T_co]): def foo(self) -> T_co: ... class A: def foo(self) -> A: ... class B: def foo(self) -> B: ... def foo(f: SupportsFoo[T_co]) -> T_co: ... ABT = TypeVar("ABT", bound=Union[A, B]) def simpler(k: ABT): foo(k) [case testInferenceWorksWithEmptyCollectionsNested] from typing import List, TypeVar, NoReturn T = TypeVar('T') def f(a: List[T], b: List[T]) -> T: pass x = ["yes"] reveal_type(f(x, [])) # N: Revealed type is "builtins.str" reveal_type(f(["yes"], [])) # N: Revealed type is "builtins.str" empty: List[NoReturn] f(x, empty) # E: Cannot infer value of type parameter "T" of "f" f(["no"], empty) # E: Cannot infer value of type parameter "T" of "f" [builtins fixtures/list.pyi] [case testInferenceWorksWithEmptyCollectionsUnion] from typing import Any, Dict, NoReturn, NoReturn, Union def foo() -> Union[Dict[str, Any], Dict[int, Any]]: return {} [builtins fixtures/dict.pyi] [case testExistingEmptyCollectionDoesNotUpcast] from typing import Any, Dict, NoReturn, NoReturn, Union empty: Dict[NoReturn, NoReturn] def foo() -> Dict[str, Any]: return empty # E: Incompatible return value type (got "dict[Never, Never]", expected "dict[str, Any]") def bar() -> Union[Dict[str, Any], Dict[int, Any]]: return empty # E: Incompatible return value type (got "dict[Never, Never]", expected "Union[dict[str, Any], dict[int, Any]]") [builtins fixtures/dict.pyi] [case testUpperBoundInferenceFallbackNotOverused] from typing import TypeVar, Protocol, List S = TypeVar("S", covariant=True) class Foo(Protocol[S]): def foo(self) -> S: ... def foo(x: Foo[S]) -> S: ... T = TypeVar("T", bound="Base") class Base: def foo(self: T) -> T: ... class C(Base): pass def f(values: List[T]) -> T: ... x = foo(f([C()])) reveal_type(x) # N: Revealed type is "__main__.C" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallableUnion] from typing import Callable, TypeVar, List, Union T = TypeVar("T") S = TypeVar("S") def dec(f: Callable[[S], T]) -> Callable[[S], List[T]]: ... @dec def func(arg: T) -> Union[T, str]: ... reveal_type(func) # N: Revealed type is "def [S] (S`1) -> builtins.list[Union[S`1, builtins.str]]" reveal_type(func(42)) # N: Revealed type is "builtins.list[Union[builtins.int, builtins.str]]" def dec2(f: Callable[[S], List[T]]) -> Callable[[S], T]: ... @dec2 def func2(arg: T) -> List[Union[T, str]]: ... reveal_type(func2) # N: Revealed type is "def [S] (S`4) -> Union[S`4, builtins.str]" reveal_type(func2(42)) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/list.pyi] [case testInferenceAgainstGenericCallbackProtoMultiple] from typing import Callable, Protocol, TypeVar from typing_extensions import Concatenate, ParamSpec V_co = TypeVar("V_co", covariant=True) class Metric(Protocol[V_co]): def __call__(self) -> V_co: ... T = TypeVar("T") P = ParamSpec("P") def simple_metric(func: Callable[Concatenate[int, P], T]) -> Callable[P, T]: ... @simple_metric def Negate(count: int, /, metric: Metric[float]) -> float: ... @simple_metric def Combine(count: int, m1: Metric[T], m2: Metric[T], /, *more: Metric[T]) -> T: ... reveal_type(Negate) # N: Revealed type is "def (metric: __main__.Metric[builtins.float]) -> builtins.float" reveal_type(Combine) # N: Revealed type is "def [T] (def () -> T`5, def () -> T`5, *more: def () -> T`5) -> T`5" def m1() -> float: ... def m2() -> float: ... reveal_type(Combine(m1, m2)) # N: Revealed type is "builtins.float" [builtins fixtures/list.pyi] [case testInferenceWithUninhabitedType] from typing import Dict, Generic, List, Never, TypeVar T = TypeVar("T") class A(Generic[T]): ... class B(Dict[T, T]): ... def func1(a: A[T], b: T) -> T: ... def func2(a: T, b: A[T]) -> T: ... def a1(a: A[Dict[str, int]]) -> None: reveal_type(func1(a, {})) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(func2({}, a)) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" def a2(check: bool, a: B[str]) -> None: reveal_type(a if check else {}) # N: Revealed type is "builtins.dict[builtins.str, builtins.str]" def a3() -> None: a = {} # E: Need type annotation for "a" (hint: "a: dict[, ] = ...") b = {1: {}} # E: Need type annotation for "b" c = {1: {}, 2: {"key": {}}} # E: Need type annotation for "c" reveal_type(a) # N: Revealed type is "builtins.dict[Any, Any]" reveal_type(b) # N: Revealed type is "builtins.dict[builtins.int, builtins.dict[Any, Any]]" reveal_type(c) # N: Revealed type is "builtins.dict[builtins.int, builtins.dict[builtins.str, builtins.dict[Any, Any]]]" def a4(x: List[str], y: List[Never]) -> None: z1 = [x, y] z2 = [y, x] reveal_type(z1) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(z2) # N: Revealed type is "builtins.list[builtins.object]" z1[1].append("asdf") # E: "object" has no attribute "append" [builtins fixtures/dict.pyi] [case testDeterminismCommutativityWithJoinInvolvingProtocolBaseAndPromotableType] # flags: --python-version 3.11 # Regression test for https://github.com/python/mypy/issues/16979#issuecomment-1982246306 from __future__ import annotations from typing import Any, Generic, Protocol, TypeVar, overload, cast from typing_extensions import Never T = TypeVar("T") U = TypeVar("U") class _SupportsCompare(Protocol): def __lt__(self, other: Any, /) -> bool: return True class Comparable(_SupportsCompare): pass comparable: Comparable = Comparable() from typing import _promote class floatlike: def __lt__(self, other: floatlike, /) -> bool: ... @_promote(floatlike) class intlike: def __lt__(self, other: intlike, /) -> bool: ... class A(Generic[T, U]): @overload def __init__(self: A[T, T], a: T, b: T, /) -> None: ... # type: ignore[overload-overlap] @overload def __init__(self: A[T, U], a: T, b: U, /) -> Never: ... def __init__(self, *a) -> None: ... def join(a: T, b: T) -> T: ... reveal_type(join(intlike(), comparable)) # N: Revealed type is "__main__._SupportsCompare" reveal_type(join(comparable, intlike())) # N: Revealed type is "__main__._SupportsCompare" reveal_type(A(intlike(), comparable)) # N: Revealed type is "__main__.A[__main__._SupportsCompare, __main__._SupportsCompare]" reveal_type(A(comparable, intlike())) # N: Revealed type is "__main__.A[__main__._SupportsCompare, __main__._SupportsCompare]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [case testTupleJoinFallbackInference] foo = [ (1, ("a", "b")), (2, []), ] reveal_type(foo) # N: Revealed type is "builtins.list[tuple[builtins.int, typing.Sequence[builtins.str]]]" [builtins fixtures/tuple.pyi] [case testForLoopIndexVaribaleNarrowing1] # flags: --local-partial-types from typing import Union x: Union[int, str] x = "abc" for x in list[int](): reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testForLoopIndexVaribaleNarrowing2] # flags: --enable-error-code=redundant-expr from typing import Union x: Union[int, str] x = "abc" for x in list[int](): reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNarrowInFunctionDefer] from typing import Optional, Callable, TypeVar def top() -> None: x: Optional[int] assert x is not None def foo() -> None: defer() reveal_type(x) # N: Revealed type is "builtins.int" T = TypeVar("T") def deco(fn: Callable[[], T]) -> Callable[[], T]: ... @deco def defer() -> int: ... [case testDeferMethodOfNestedClass] from typing import Optional, Callable, TypeVar class Out: def meth(self) -> None: class In: def meth(self) -> None: reveal_type(defer()) # N: Revealed type is "builtins.int" T = TypeVar("T") def deco(fn: Callable[[], T]) -> Callable[[], T]: ... @deco def defer() -> int: ... [case testVariableDeferredWithNestedFunction] from typing import Callable, TypeVar T = TypeVar("T") def deco(fn: Callable[[], T]) -> Callable[[], T]: ... @deco def f() -> None: x = 1 f() # defer current node x = x def nested() -> None: ... # The type below should not be Any. reveal_type(x) # N: Revealed type is "builtins.int" [case testInferenceMappingTypeVarGet] from typing import Generic, TypeVar, Union _T = TypeVar("_T") _K = TypeVar("_K") _V = TypeVar("_V") class Mapping(Generic[_K, _V]): def get(self, key: _K, default: Union[_V, _T]) -> Union[_V, _T]: ... def check(mapping: Mapping[str, _T]) -> None: ok1 = mapping.get("", "") reveal_type(ok1) # N: Revealed type is "Union[_T`-1, builtins.str]" ok2: Union[_T, str] = mapping.get("", "") [builtins fixtures/tuple.pyi] [case testInferWalrusAssignmentAttrInCondition] class Foo: def __init__(self, value: bool) -> None: self.value = value def check_and(maybe: bool) -> None: foo = None if maybe and (foo := Foo(True)).value: reveal_type(foo) # N: Revealed type is "__main__.Foo" else: reveal_type(foo) # N: Revealed type is "Union[__main__.Foo, None]" def check_and_nested(maybe: bool) -> None: foo = None bar = None baz = None if maybe and (foo := (bar := (baz := Foo(True)))).value: reveal_type(foo) # N: Revealed type is "__main__.Foo" reveal_type(bar) # N: Revealed type is "__main__.Foo" reveal_type(baz) # N: Revealed type is "__main__.Foo" else: reveal_type(foo) # N: Revealed type is "Union[__main__.Foo, None]" reveal_type(bar) # N: Revealed type is "Union[__main__.Foo, None]" reveal_type(baz) # N: Revealed type is "Union[__main__.Foo, None]" def check_or(maybe: bool) -> None: foo = None if maybe or (foo := Foo(True)).value: reveal_type(foo) # N: Revealed type is "Union[__main__.Foo, None]" else: reveal_type(foo) # N: Revealed type is "__main__.Foo" def check_or_nested(maybe: bool) -> None: foo = None bar = None baz = None if maybe and (foo := (bar := (baz := Foo(True)))).value: reveal_type(foo) # N: Revealed type is "__main__.Foo" reveal_type(bar) # N: Revealed type is "__main__.Foo" reveal_type(baz) # N: Revealed type is "__main__.Foo" else: reveal_type(foo) # N: Revealed type is "Union[__main__.Foo, None]" reveal_type(bar) # N: Revealed type is "Union[__main__.Foo, None]" reveal_type(baz) # N: Revealed type is "Union[__main__.Foo, None]" [case testInferWalrusAssignmentIndexInCondition] def check_and(maybe: bool) -> None: foo = None bar = None if maybe and (foo := [1])[(bar := 0)]: reveal_type(foo) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(bar) # N: Revealed type is "builtins.int" else: reveal_type(foo) # N: Revealed type is "Union[builtins.list[builtins.int], None]" reveal_type(bar) # N: Revealed type is "Union[builtins.int, None]" def check_and_nested(maybe: bool) -> None: foo = None bar = None baz = None if maybe and (foo := (bar := (baz := [1])))[0]: reveal_type(foo) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(bar) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(baz) # N: Revealed type is "builtins.list[builtins.int]" else: reveal_type(foo) # N: Revealed type is "Union[builtins.list[builtins.int], None]" reveal_type(bar) # N: Revealed type is "Union[builtins.list[builtins.int], None]" reveal_type(baz) # N: Revealed type is "Union[builtins.list[builtins.int], None]" def check_or(maybe: bool) -> None: foo = None bar = None if maybe or (foo := [1])[(bar := 0)]: reveal_type(foo) # N: Revealed type is "Union[builtins.list[builtins.int], None]" reveal_type(bar) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(foo) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(bar) # N: Revealed type is "builtins.int" def check_or_nested(maybe: bool) -> None: foo = None bar = None baz = None if maybe or (foo := (bar := (baz := [1])))[0]: reveal_type(foo) # N: Revealed type is "Union[builtins.list[builtins.int], None]" reveal_type(bar) # N: Revealed type is "Union[builtins.list[builtins.int], None]" reveal_type(baz) # N: Revealed type is "Union[builtins.list[builtins.int], None]" else: reveal_type(foo) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(bar) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(baz) # N: Revealed type is "builtins.list[builtins.int]" [case testInferOptionalAgainstAny] from typing import Any, Optional, TypeVar a: Any oa: Optional[Any] T = TypeVar("T") def f(x: Optional[T]) -> T: ... reveal_type(f(a)) # N: Revealed type is "Any" reveal_type(f(oa)) # N: Revealed type is "Any" [case testNoCrashOnPartialTypeAsContext] from typing import overload, TypeVar, Optional, Protocol T = TypeVar("T") class DbManager(Protocol): @overload def get(self, key: str) -> Optional[T]: pass @overload def get(self, key: str, default: T) -> T: pass class Foo: def __init__(self, db: DbManager, bar: bool) -> None: if bar: self.qux = db.get("qux") else: self.qux = {} # E: Need type annotation for "qux" (hint: "qux: dict[, ] = ...") [builtins fixtures/dict.pyi] [case testConstraintSolvingFailureShowsCorrectArgument] from typing import Callable, TypeVar T1 = TypeVar('T1') T2 = TypeVar('T2') def foo( a: T1, b: T2, c: Callable[[T2], T2], ) -> tuple[T1, T2]: ... def bar(y: float) -> float: ... foo(1, None, bar) # E: Cannot infer value of type parameter "T2" of "foo" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-inline-config.test0000644000175100017510000002560615112307767021632 0ustar00runnerrunner-- Checks for 'mypy: option' directives inside files [case testInlineSimple1] # mypy: disallow-any-generics, no-warn-no-return from typing import List, Optional def foo() -> Optional[List]: # E: Missing type parameters for generic type "List" 20 [builtins fixtures/list.pyi] [case testInlineSimple2] # mypy: disallow-any-generics # mypy: no-warn-no-return from typing import List, Optional def foo() -> Optional[List]: # E: Missing type parameters for generic type "List" 20 [builtins fixtures/list.pyi] [case testInlineSimple3] # mypy: disallow-any-generics=true, warn-no-return=0 from typing import List, Optional def foo() -> Optional[List]: # E: Missing type parameters for generic type "List" 20 [builtins fixtures/list.pyi] [case testInlineSimple4] # mypy: disallow-any-generics = true, warn-no-return = 0 from typing import List, Optional def foo() -> Optional[List]: # E: Missing type parameters for generic type "List" 20 [builtins fixtures/list.pyi] [case testInlineList] # mypy: disallow-any-generics,always-false="FOO,BAR" from typing import List def foo(FOO: bool, BAR: bool) -> List: # E: Missing type parameters for generic type "List" if FOO or BAR: 1+'lol' return [] [builtins fixtures/list.pyi] [case testInlineInvert1] # flags: --disallow-any-generics --allow-untyped-globals import a [file a.py] # mypy: allow-any-generics, disallow-untyped-globals x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") from typing import List def foo() -> List: ... [builtins fixtures/list.pyi] [case testInlineInvert2] import a [file a.py] # mypy: no-always-true [out] tmp/a.py:1: error: Can not invert non-boolean key always_true [case testInlineIncremental1] import a [file a.py] # mypy: disallow-any-generics, no-warn-no-return from typing import List, Optional def foo() -> Optional[List]: 20 [file a.py.2] # mypy: no-warn-no-return from typing import List, Optional def foo() -> Optional[List]: 20 [file a.py.3] from typing import List, Optional def foo() -> Optional[List]: 20 [out] tmp/a.py:4: error: Missing type parameters for generic type "List" [out2] [out3] tmp/a.py:2: error: Missing return statement [builtins fixtures/list.pyi] [case testInlineIncremental2] # flags2: --disallow-any-generics import a [file a.py] # mypy: no-warn-no-return from typing import Optional, List def foo() -> Optional[List]: 20 [file b.py.2] # no changes to a.py, but flag change should cause recheck [out] [out2] tmp/a.py:4: error: Missing type parameters for generic type "List" [builtins fixtures/list.pyi] [case testInlineIncremental3] import a, b [file a.py] # mypy: no-warn-no-return from typing import Optional def foo() -> Optional[int]: 20 [file b.py] [file b.py.2] # no changes to a.py and we want to make sure it isn't rechecked [out] [out2] [rechecked b] [case testInlineError1] # mypy: invalid-whatever # mypy: no-warn-no-return; no-strict-optional # mypy: always-true=FOO,BAR # mypy: always-true="FOO,BAR [out] main:1: error: Unrecognized option: invalid_whatever = True main:2: error: Unrecognized option: no_warn_no_return; no_strict_optional = True main:3: error: Unrecognized option: bar = True main:4: error: Unterminated quote in configuration comment [case testInlineError2] # mypy: skip-file [out] main:1: error: Unrecognized option: skip_file = True [case testInlineStrict] # mypy: strict [out] main:1: error: Setting "strict" not supported in inline configuration: specify it in a configuration file instead, or set individual inline flags (see "mypy -h" for the list of flags enabled in strict mode) [case testInlineErrorCodes] # mypy: enable-error-code="ignore-without-code,truthy-bool" class Foo: pass foo = Foo() if foo: ... # E: "__main__.foo" has type "Foo" which does not implement __bool__ or __len__ so it could always be true in boolean context 42 + "no" # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[operator]" instead) [case testInlineErrorCodesOverrideConfig] # flags: --config-file tmp/mypy.ini import foo import tests.bar import tests.baz [file foo.py] # mypy: disable-error-code="truthy-bool" class Foo: pass foo = Foo() if foo: ... 42 + "no" # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[operator]" instead) [file tests/__init__.py] [file tests/bar.py] # mypy: enable-error-code="ignore-without-code" def foo() -> int: ... if foo: ... # E: Function "foo" could always be true in boolean context 42 + "no" # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[operator]" instead) [file tests/baz.py] # mypy: disable-error-code="truthy-bool" class Foo: pass foo = Foo() if foo: ... 42 + "no" # type: ignore [file mypy.ini] \[mypy] enable_error_code = ignore-without-code, truthy-bool \[mypy-tests.*] disable_error_code = ignore-without-code [case testInlineErrorCodesOverrideConfigSmall] # flags: --config-file tmp/mypy.ini import tests.baz [file tests/__init__.py] [file tests/baz.py] 42 + "no" # type: ignore [file mypy.ini] \[mypy] enable_error_code = ignore-without-code, truthy-bool \[mypy-tests.*] disable_error_code = ignore-without-code [case testInlineErrorCodesOverrideConfigSmall2] # flags: --config-file tmp/mypy.ini import tests.bar import tests.baz [file tests/__init__.py] [file tests/baz.py] 42 + "no" # type: ignore [file tests/bar.py] # mypy: enable-error-code="ignore-without-code" def foo() -> int: ... if foo: ... # E: Function "foo" could always be true in boolean context 42 + "no" # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[operator]" instead) [file mypy.ini] \[mypy] enable_error_code = ignore-without-code, truthy-bool \[mypy-tests.*] disable_error_code = ignore-without-code [case testInlineErrorCodesOverrideConfigSmallBackward] # flags: --config-file tmp/mypy.ini import tests.bar import tests.baz [file tests/__init__.py] [file tests/baz.py] 42 + "no" # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[operator]" instead) [file tests/bar.py] # mypy: disable-error-code="ignore-without-code" 42 + "no" # type: ignore [file mypy.ini] \[mypy] enable_error_code = ignore-without-code, truthy-bool \[mypy-tests.*] enable_error_code = ignore-without-code [case testInlineOverrideConfig] # flags: --config-file tmp/mypy.ini import foo import tests.bar import tests.baz [file foo.py] # mypy: disable-error-code="truthy-bool" class Foo: pass foo = Foo() if foo: ... 42 # type: ignore # E: Unused "type: ignore" comment [file tests/__init__.py] [file tests/bar.py] # mypy: warn_unused_ignores def foo() -> int: ... if foo: ... # E: Function "foo" could always be true in boolean context 42 # type: ignore # E: Unused "type: ignore" comment [file tests/baz.py] # mypy: disable-error-code="truthy-bool" class Foo: pass foo = Foo() if foo: ... 42 # type: ignore [file mypy.ini] \[mypy] warn_unused_ignores = True \[mypy-tests.*] warn_unused_ignores = False [case testIgnoreErrorsSimple] # mypy: ignore-errors=True def f() -> None: while 1(): pass [case testIgnoreErrorsInImportedModule] from m import C c = C() reveal_type(c.x) # N: Revealed type is "builtins.int" [file m.py] # mypy: ignore-errors=True class C: def f(self) -> None: self.x = 1 [case testIgnoreErrorsWithLambda] # mypy: ignore-errors=True def f(self, x=lambda: 1) -> None: pass class C: def f(self) -> None: l = lambda: 1 self.x = 1 [case testIgnoreErrorsWithUnsafeSuperCall_no_empty] from m import C class D(C): def m(self) -> None: super().m1() super().m2() \ # E: Call to abstract method "m2" of "C" with trivial body via super() is unsafe super().m3() \ # E: Call to abstract method "m3" of "C" with trivial body via super() is unsafe super().m4() \ # E: Call to abstract method "m4" of "C" with trivial body via super() is unsafe super().m5() \ # E: Call to abstract method "m5" of "C" with trivial body via super() is unsafe super().m6() \ # E: Call to abstract method "m6" of "C" with trivial body via super() is unsafe super().m7() def m1(self) -> int: return 0 def m2(self) -> int: return 0 def m3(self) -> int: return 0 def m4(self) -> int: return 0 def m5(self) -> int: return 0 def m6(self) -> int: return 0 [file m.py] # mypy: ignore-errors=True import abc class C: @abc.abstractmethod def m1(self) -> int: """x""" return 0 @abc.abstractmethod def m2(self) -> int: """doc""" @abc.abstractmethod def m3(self) -> int: pass @abc.abstractmethod def m4(self) -> int: ... @abc.abstractmethod def m5(self) -> int: """doc""" ... @abc.abstractmethod def m6(self) -> int: raise NotImplementedError() @abc.abstractmethod def m7(self) -> int: raise NotImplementedError() pass [builtins fixtures/exception.pyi] [case testInlineErrorCodesMultipleCodes] # mypy: disable-error-code="truthy-bool, ignore-without-code" class Foo: pass foo = Foo() if foo: ... 42 + "no" # type: ignore [case testInlinePythonVersion] # mypy: python-version=3.10 # E: python_version not supported in inline configuration [case testInlineErrorCodesArentRuinedByOthersBaseCase] # mypy: disable-error-code=name-defined a [case testInlineErrorCodesArentRuinedByOthersInvalid] # mypy: disable-error-code=name-defined # mypy: AMONGUS a [out] main:2: error: Unrecognized option: amongus = True [case testInlineErrorCodesArentRuinedByOthersInvalidBefore] # mypy: AMONGUS # mypy: disable-error-code=name-defined a [out] main:1: error: Unrecognized option: amongus = True [case testInlineErrorCodesArentRuinedByOthersSe] # mypy: disable-error-code=name-defined # mypy: strict-equality def is_magic(x: bytes) -> bool: y return x == 'magic' # E: Unsupported left operand type for == ("bytes") [case testInlineConfigErrorCodesOffAndOn] # mypy: disable-error-code=name-defined # mypy: enable-error-code=name-defined a # E: Name "a" is not defined [case testInlineConfigErrorCodesOnAndOff] # mypy: enable-error-code=name-defined # mypy: disable-error-code=name-defined a # E: Name "a" is not defined [case testConfigFileErrorCodesOnAndOff] # flags: --config-file tmp/mypy.ini import foo [file foo.py] 42 + "no" # type: ignore # E: "type: ignore" comment without error code (consider "type: ignore[operator]" instead) [file mypy.ini] \[mypy] enable_error_code = ignore-without-code disable_error_code = ignore-without-code [case testInlineConfigBaseCaseWui] # mypy: warn_unused_ignores x = 1 # type: ignore # E: Unused "type: ignore" comment [case testInlineConfigIsntRuinedByOthersInvalidWui] # mypy: warn_unused_ignores # mypy: AMONGUS x = 1 # type: ignore # E: Unused "type: ignore" comment [out] main:2: error: Unrecognized option: amongus = True ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-isinstance.test0000644000175100017510000024231415112307767021246 0ustar00runnerrunner[case testForcedAssignment] x = 1 # type: object y = 1 def f(): x, y # Prevent independent redefinition y = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") x = 2 y = x [builtins fixtures/tuple.pyi] [case testJoinAny] from typing import List, Any x: List[Any] def foo() -> List[int]: pass def bar() -> List[str]: pass if bool(): x = foo() else: x = bar() x * 2 [builtins fixtures/list.pyi] [case testGeneratorExpressionTypes] class A: y = 1 x = [A()] y = [x] z = [1,2] z = [a.y for b in y for a in b] [builtins fixtures/list.pyi] [case testIsinstanceNestedTuple] from typing import Union, List, Tuple, Dict def f(x: Union[int, str, List]) -> None: if isinstance(x, (str, (int,))): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" x[1] # E: Value of type "Union[int, str]" is not indexable else: reveal_type(x) # N: Revealed type is "builtins.list[Any]" x[1] reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" if isinstance(x, (str, (list,))): reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.list[Any]]" x[1] reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" [builtins fixtures/isinstancelist.pyi] [case testClassAttributeInitialization] class A: x: int def __init__(self) -> None: self.y: int z = self.x w = self.y [case testAssignmentSubtypes] from typing import Union def foo(x: Union[str, int]): if isinstance(x, int): x = 'a' x + 'a' z = x y = [x] y[0] + 'a' # TODO: should we allow these two lines? y + [1] # E: List item 0 has incompatible type "int"; expected "str" z = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") x: int y = [x] [builtins fixtures/isinstancelist.pyi] [case testFunctionDefaultArgs] class A: pass class B(A): y = 1 x = A() def foo(x: A = B()): x.y # E: "A" has no attribute "y" [builtins fixtures/isinstance.pyi] [case testIsinstanceFancyConditionals] class A: pass class B(A): y = 1 x = A() if isinstance(x, B): x.y while isinstance(x, B): x.y while isinstance(x, B): x.y x = B() [builtins fixtures/isinstance.pyi] [case testSubtypingWithAny] class A: y = 1 class B(A): z = 1 def foo(): pass x = A() if int(): x = B() x.z x = foo() reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "__main__.A" [case testSingleMultiAssignment] x = 'a' (x,) = ('a',) [case testUnionMultiAssignment] from typing import Union x: Union[int, str] if int(): x = 1 x = 'a' x + 1 # E: Unsupported operand types for + ("str" and "int") x = 1 (x, y) = ('a', 1) x + 1 # E: Unsupported operand types for + ("str" and "int") [builtins fixtures/isinstancelist.pyi] [case testUnionIfZigzag] from typing import Union def f(x: Union[int, str]) -> None: if 1: # Without this, the assignment below could create a new variable "x" of type "int" x = 1 if x: x = 'a' x = 1 x + 1 x + 1 [builtins fixtures/isinstancelist.pyi] [case testTwoLoopsUnion] from typing import Union def foo() -> Union[int, str]: pass def bar() -> None: x = foo() if isinstance(x, int): return while bool(): x + 'a' while bool(): x = foo() if bool(): return x = 'a' x + 'a' [builtins fixtures/isinstancelist.pyi] [case testComplicatedBlocks] from typing import Union def foo() -> Union[int, str]: pass def bar() -> None: x = foo() if isinstance(x, int): return while bool(): x + 'a' while bool(): x = foo() if bool(): return x = 'a' x + 'a' x = foo() if isinstance(x, int): return while bool(): x + 'a' while bool(): x + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" x = foo() if bool(): continue x = 'a' x = 'a' x + 'a' [builtins fixtures/isinstancelist.pyi] [case testUnionTryExcept] class A: y = A() class B(A): z = 1 x = A() def f(): x # Prevent redefinition of x x = B() x.z try: x.z x = A() x = B() x.z except: pass x.z # E: "A" has no attribute "z" [case testUnionTryExcept2] class A: y = A() class B(A): z = 1 x = A() try: x.z # E: "A" has no attribute "z" x = A() x = B() x.z except: x.z # E: "A" has no attribute "z" x = B() x.z else: x = B() x.z [case testUnionTryExcept3] class A: y = A() class B(A): z = 1 x = A() def f(): x # Prevent redefinition of x x = B() try: raise BaseException() x = A() except: pass x.z x = B() try: x = A() raise BaseException() except: pass x.z # E: "A" has no attribute "z" x = B() try: pass except: x = A() raise BaseException() x.z try: x = A() except: pass x.z # E: "A" has no attribute "z" x = B() try: pass except: x = A() x.z # E: "A" has no attribute "z" [builtins fixtures/exception.pyi] [case testUnionTryExcept4] class A: pass class B(A): z = 1 x = A() while bool(): try: x.z # E: "A" has no attribute "z" x = A() except: x = B() else: x = B() x.z [builtins fixtures/exception.pyi] [case testUnionTryFinally] class A: pass class B(A): b = 1 x = A() def f(): x # Prevent redefinition x = B() try: x = A() x.b # E: "A" has no attribute "b" x = B() finally: x.b # E: "A" has no attribute "b" x.b [case testUnionTryFinally2] class A: pass class B(A): b = 1 x = A() def f(): x # Prevent redefinition x = B() try: x = A() x = B() except: pass finally: pass x.b # E: "A" has no attribute "b" [case testUnionTryFinally3] class A: pass class B(A): b = 1 x = A() def f(): x # Prevent redefinition x = B() try: x = A() x = B() except: pass finally: x = B() x.b [case testUnionTryFinally4] class A: pass class B(A): b = 1 while 2: x = A() def f(): x # Prevents redefinition x = B() try: x = A() x = B() except: pass finally: x.b # E: "A" has no attribute "b" if not isinstance(x, B): break x.b [builtins fixtures/isinstancelist.pyi] [case testUnionTryFinally5] class A: pass class B(A): b = 1 while 2: x = A() try: x = A() x = B() finally: x.b # E: "A" has no attribute "b" break x.b x.b [case testUnionTryFinally6] class A: pass class B(A): b = 1 def f() -> int: x = B() # type: A try: x = B() except: x = A() # An exception could occur here x = B() finally: return x.b # E: "A" has no attribute "b" [case testUnionListIsinstance] from typing import Union, List def f(x: Union[List[int], List[str], int]) -> None: if isinstance(x, list): a = x[0] if isinstance(a, int): a + 1 a + 'x' # E: Unsupported operand types for + ("int" and "str") # type of a? reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.list[builtins.str]]" x + 1 # E: Unsupported operand types for + ("list[int]" and "int") \ # E: Unsupported operand types for + ("list[str]" and "int") \ # N: Left operand is of type "Union[list[int], list[str]]" else: x[0] # E: Value of type "int" is not indexable x + 1 x[0] # E: Value of type "Union[list[int], list[str], int]" is not indexable x + 1 # E: Unsupported operand types for + ("list[int]" and "int") \ # E: Unsupported operand types for + ("list[str]" and "int") \ # N: Left operand is of type "Union[list[int], list[str], int]" [builtins fixtures/isinstancelist.pyi] [case testUnionListIsinstance2] from typing import Union, List class A: a = 1 class B: pass class C: pass def g(x: Union[A, B]) -> A: pass def h(x: C) -> A: pass def f(x: Union[A, B, C]) -> None: if isinstance(x, C): x = h(x) else: x = g(x) x.a [builtins fixtures/isinstancelist.pyi] [case testUnionStrictDefnBasic] from typing import Union def foo() -> Union[int, str]: pass x = foo() if int(): x = 1 x = x + 1 x = foo() x = x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" if isinstance(x, str): x = x + 1 # E: Unsupported operand types for + ("str" and "int") x = 1 x = x + 1 [builtins fixtures/isinstancelist.pyi] [case testSubtypeRedefinitionBasic] from typing import Union class A: pass class B(A): y = 1 x = A() x.y # E: "A" has no attribute "y" x = B() x.y # OK: x is known to be a B [builtins fixtures/isinstancelist.pyi] [case testIsInstanceBasic] from typing import Union x: Union[int, str] if isinstance(x, str): x = x + 1 # E: Unsupported operand types for + ("str" and "int") x = x + 'a' else: x = x + 'a' # E: Unsupported operand types for + ("int" and "str") x = x + 1 [builtins fixtures/isinstancelist.pyi] [case testIsInstanceIndexing] from typing import Union x: Union[int, str] j = [x] if isinstance(j[0], str): j[0] = j[0] + 'a' j[0] = j[0] + 1 # E: Unsupported operand types for + ("str" and "int") else: j[0] = j[0] + 'a' # E: Unsupported operand types for + ("int" and "str") j[0] = j[0] + 1 [builtins fixtures/isinstancelist.pyi] [case testIsInstanceSubClassMember] from typing import Union class Animal: pass class Dog(Animal): paws = 4 # type: Union[int, str] def bark(self): pass class House: pet = None # type: Animal h = House() h.pet = Dog() while bool(): if isinstance(h.pet, Dog): if isinstance(h.pet.paws, str): x = h.pet.paws + 'a' y = h.pet.paws + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" z = h.pet.paws + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" if isinstance(h.pet.paws, str): x = h.pet.paws + 'a' break y = h.pet.paws + 1 z = h.pet.paws + 'a' # E: Unsupported operand types for + ("int" and "str") [builtins fixtures/isinstancelist.pyi] [case testIsInstanceSubClassReset] class A: pass class B(A): b = 1 class C: a = A() x = C() x.a.b # E: "A" has no attribute "b" if isinstance(x.a, B): x.a.b x = C() x.a.b # E: "A" has no attribute "b" [builtins fixtures/isinstance.pyi] [case testIsinstanceTuple] from typing import Union class A: pass class B: def method2(self, arg: int): return 123 class C: def method2(self, arg: int): return 456 def method3(self, arg: str): return 'abc' v = A() # type: Union[A, B, C] if isinstance(v, (B, C)): v.method2(123) v.method3('xyz') # E: Item "B" of "Union[B, C]" has no attribute "method3" [builtins fixtures/isinstance.pyi] [case testIsinstanceNeverWidens] from typing import Union class A: pass class B: pass class C: pass a = A() # type: A assert isinstance(a, (A, B)) reveal_type(a) # N: Revealed type is "__main__.A" b = A() # type: Union[A, B] assert isinstance(b, (A, B, C)) reveal_type(b) # N: Revealed type is "Union[__main__.A, __main__.B]" [builtins fixtures/isinstance.pyi] [case testMemberAssignmentChanges] from typing import Union class Dog: paws = 1 # type: Union[int, str] pet = Dog() pet.paws + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" pet.paws = 'a' pet.paws + 'a' pet.paws = 1 pet.paws + 1 [builtins fixtures/isinstancelist.pyi] [case testIsInstanceSubClassMemberHard] from typing import Union class Animal: pass class Dog(Animal): paws = 4 # type: Union[int, str] def bark(self): pass class House: pet = None # type: Animal h = House() h.pet = Dog() if isinstance(h.pet, Dog): if isinstance(h.pet.paws, str): for i in [1]: # TODO: should we allow this if iterable is of length one or zero? h.pet.paws + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" if bool(): break h.pet.paws = 1 h.pet.paws + 1 if isinstance(h.pet.paws, str): h.pet.paws + 'a' else: h.pet.paws + 1 [builtins fixtures/isinstancelist.pyi] [case testIsInstanceReturn] from typing import Union def foo() -> None: x = 1 # type: Union[int, str] if isinstance(x, int): return y = x + 'asdad' def bar() -> None: x = 1 # type: Union[int, str] if isinstance(x, int): return else: pass y = x + 'asdad' foo() [builtins fixtures/isinstancelist.pyi] [case testIsInstanceBadBreak] from typing import Union def foo() -> None: x: Union[int, str] if isinstance(x, int): for z in [1,2]: break else: pass y = x + 'asdad' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" foo() [builtins fixtures/isinstancelist.pyi] [case testIsInstanceThreeUnion] from typing import Union, List x: Union[int, str, List[int]] while bool(): if isinstance(x, int): x + 1 elif isinstance(x, str): x + 'a' else: x + [1] x + 'a' # E: Unsupported operand types for + ("int" and "str") \ # E: Unsupported operand types for + ("list[int]" and "str") \ # N: Left operand is of type "Union[int, str, list[int]]" x + [1] # E: Unsupported operand types for + ("int" and "list[int]") \ # E: Unsupported operand types for + ("str" and "list[int]") \ # N: Left operand is of type "Union[int, str, list[int]]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceThreeUnion2] from typing import Union, List x: Union[int, str, List[int]] while bool(): if isinstance(x, int): x + 1 break elif isinstance(x, str): x + 'a' break x + [1] x + 'a' # E: Unsupported operand types for + ("list[int]" and "str") x + [1] # E: Unsupported operand types for + ("int" and "list[int]") \ # E: Unsupported operand types for + ("str" and "list[int]") \ # N: Left operand is of type "Union[int, str, list[int]]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceThreeUnion3] from typing import Union, List while bool(): x: Union[int, str, List[int]] def f(): x # Prevent redefinition x = 1 if isinstance(x, int): x + 1 break elif isinstance(x, str): x + 'a' break x + [1] # These lines aren't reached because x was an int x + 'a' x + [1] # E: Unsupported operand types for + ("int" and "list[int]") \ # E: Unsupported operand types for + ("str" and "list[int]") \ # N: Left operand is of type "Union[int, str, list[int]]" [builtins fixtures/isinstancelist.pyi] [case testRemovingTypeRepeatedly] from typing import Union def foo() -> Union[int, str]: pass for i in [1, 2]: x = foo() x + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" if isinstance(x, int): break x + 'a' x = foo() x + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" if isinstance(x, int): break x + 'a' x = foo() x + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" if isinstance(x, int): break x + 'a' x + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" [builtins fixtures/isinstancelist.pyi] [case testModifyRepeatedly] from typing import Union def foo() -> Union[int, str]: pass x = foo() def f(): x # Prevent redefinition x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" x = 1 x + 1 x + 'a' # E: Unsupported operand types for + ("int" and "str") x = 'a' x + 1 # E: Unsupported operand types for + ("str" and "int") x + 'a' x = foo() x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x + 'a' # E: Unsupported operand types for + ("int" and "str") \ # N: Left operand is of type "Union[int, str]" [builtins fixtures/isinstancelist.pyi] [case testModifyLoop] from typing import Union def foo() -> Union[int, str]: pass x = foo() def f(): x # Prevent redefinition x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x = 'a' x + 1 # E: Unsupported operand types for + ("str" and "int") x = 1 x + 1 while bool(): x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x = 'a' [builtins fixtures/isinstancelist.pyi] [case testModifyLoop2] from typing import Union def foo() -> Union[int, str]: pass x = foo() def f(): x # Prevent redefinition x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x = 'a' x + 1 # E: Unsupported operand types for + ("str" and "int") x = 1 x + 1 for i in [1]: x = 'a' x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" [builtins fixtures/isinstancelist.pyi] [case testModifyLoop3] from typing import Union def foo() -> Union[int, str]: pass x = foo() def f(): x # Prevent redefinition x = 1 while bool(): x + 1 x = 'a' break else: x + 1 x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x = 1 for y in [1]: x + 1 x = 'a' break else: x + 1 x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" [builtins fixtures/isinstancelist.pyi] [case testModifyLoopWhile4] from typing import Union def foo() -> Union[int, str]: pass x = foo() def f(): x # Prevent redefinition x = 1 while bool(): x + 1 if bool(): x = 'a' break else: x + 1 x = 'a' x + 'a' x = 1 while bool(): x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" if bool(): x = 'a' continue else: x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x = 'a' x + 'a' [builtins fixtures/isinstancelist.pyi] [case testModifyLoopFor4] from typing import Union def foo() -> Union[int, str]: pass x = foo() def f(): x # Prevent redefinition x = 1 for y in [1]: x + 1 if bool(): x = 'a' break else: x + 1 x = 'a' x + 'a' x = 1 for y in [1]: x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" if bool(): x = 'a' continue else: x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x = 'a' x + 'a' [builtins fixtures/isinstancelist.pyi] [case testModifyNestedLoop] from typing import Union def foo() -> Union[int, str]: pass x = foo() def f(): x # Prevent redefinition x = 1 for y in [1]: for z in [1]: break else: x = 'a' break else: x + 1 x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" x = 1 while bool(): while bool(): break else: x = 'a' break else: x + 1 x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" [builtins fixtures/isinstancelist.pyi] [case testModifyLoopLong] from typing import Union class A: a = 1 def foo() -> Union[int, str, A]: pass def bar() -> None: x = foo() x + 1 # E: Unsupported left operand type for + ("A") \ # N: Left operand is of type "Union[int, str, A]" \ # E: Unsupported operand types for + ("str" and "int") if isinstance(x, A): x.a else: if isinstance(x, int): x + 1 x + 'a' # E: Unsupported operand types for + ("int" and "str") else: x + 'a' x.a # E: "str" has no attribute "a" x = A() if isinstance(x, str): x + 'a' else: while bool(): if isinstance(x, int): x + 1 else: x.a break while bool(): if isinstance(x, int): x + 1 else: x.a continue while bool(): if isinstance(x, int): x + 1 else: x.a # E: Item "str" of "Union[str, A]" has no attribute "a" x = 'a' [builtins fixtures/isinstancelist.pyi] [case testWhileExitCondition1] from typing import Union x = 1 # type: Union[int, str] while isinstance(x, int): if bool(): continue x = 'a' else: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/isinstance.pyi] [case testWhileExitCondition2] from typing import Union x = 1 # type: Union[int, str] while isinstance(x, int): if bool(): break x = 'a' else: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/isinstance.pyi] [case testWhileLinkedList] from typing import Union LinkedList = Union['Cons', 'Nil'] class Nil: pass class Cons: tail = None # type: LinkedList def last(x: LinkedList) -> Nil: while isinstance(x, Cons): x = x.tail return x [builtins fixtures/isinstance.pyi] [case testReturnAndFlow] def foo() -> int: return 1 and 2 return 'a' [case testCastIsinstance] from typing import Union def foo() -> Union[int, str]: pass x = foo() y = 1 # type: int if isinstance(x, str): x = y x + 1 x + 'a' # E: Unsupported operand types for + ("int" and "str") [builtins fixtures/isinstancelist.pyi] [case testUnreachableCode] x = 1 # type: int while bool(): x = 'a' # E: Incompatible types in assignment (expression has type "str", variable has type "int") break x = 'a' # Note: no error because unreachable code [builtins fixtures/isinstancelist.pyi] [case testUnreachableCode2] x = 1 while bool(): try: pass except: continue else: continue x + 'a' [builtins fixtures/isinstance.pyi] [case testUnreachableWhileTrue] def f(x: int) -> None: while True: if x: return 1() [builtins fixtures/bool.pyi] [case testUnreachableAssertFalse] def f() -> None: assert False 1() [builtins fixtures/bool.pyi] [case testUnreachableAssertFalse2] def f() -> None: # The old parser doesn't understand the syntax below assert False, "hi" 1() [builtins fixtures/bool.pyi] [case testUnreachableReturnOrAssertFalse] def f(x: int) -> int: if x: return x else: assert False 1() [builtins fixtures/bool.pyi] [case testUnreachableTryExcept] def f() -> None: try: f() return except BaseException: return 1() [builtins fixtures/exception.pyi] [case testUnreachableTryExceptElse] def f() -> None: try: f() except BaseException: return else: return 1() [builtins fixtures/exception.pyi] [case testUnreachableTryReturnFinally1] def f() -> None: try: return finally: pass 1() [case testUnreachableTryReturnFinally2] def f() -> None: try: pass finally: return 1() [case testUnreachableTryReturnExceptRaise] def f() -> None: try: return except: raise 1() [case testUnreachableReturnLambda] from typing import Callable def g(t: Callable[[int], int]) -> int: pass def f() -> int: return g(lambda x: x) 1() [case testIsinstanceAnd] class A: pass class B(A): flag = 1 x = B() # type: A if isinstance(x, B) and 1: x.flag [builtins fixtures/isinstancelist.pyi] [case testIsinstanceShortcircuit] class A: pass class B(A): flag = 1 x = B() # type: A if isinstance(x, B) and x.flag: pass if isinstance(x, B) or x.flag: # E: "A" has no attribute "flag" pass if not isinstance(x, B) or x.flag: pass if not isinstance(x, B) and x.flag: # E: "A" has no attribute "flag" pass [builtins fixtures/isinstancelist.pyi] [case testIsinstanceExpression] class A: pass class B(A): flag = 1 x = B() # type: A x.flag if isinstance(x, B) else 0 0 if not isinstance(x, B) else x.flag 0 if isinstance(x, B) else x.flag # E: "A" has no attribute "flag" [builtins fixtures/isinstancelist.pyi] [case testIsinstanceMultiAnd] class A: pass class B(A): flag = 1 class C(A): glaf = 1 x = B() # type: A y = C() # type: A if isinstance(x, B) and isinstance(y, C): x.flag += 1 y.glaf += 1 x() # E: "B" not callable y() # E: "C" not callable else: x() # E: "A" not callable y() # E: "A" not callable [builtins fixtures/isinstancelist.pyi] [case testIsinstanceMultiAndSpecialCase] class A: # Ensure A.__add__ and int.__add__ are different to # force 'isinstance(y, int)' checks below to never succeed. def __add__(self, other: A) -> A: pass class B(A): flag = 1 class C(A): glaf = 1 x = B() # type: A y = C() # type: A if isinstance(x, B) and isinstance(y, int): 1() # type checking skipped if isinstance(y, int) and isinstance(x, B): 1() # type checking skipped if isinstance(y, int) and y > 42: 1() # type checking skipped [builtins fixtures/isinstancelist.pyi] [case testReturnWithCallExprAndIsinstance] from typing import Union def f(x: Union[int, str]) -> None: if not isinstance(x, int): return foo() x() # E: "int" not callable def foo(): pass [builtins fixtures/isinstancelist.pyi] [case testIsinstanceOr1] from typing import Optional def f(a: bool, x: object) -> Optional[int]: if a or not isinstance(x, int): return None reveal_type(x) # N: Revealed type is "builtins.int" return x [builtins fixtures/isinstance.pyi] [case testIsinstanceOr2] from typing import Optional def g(a: bool, x: object) -> Optional[int]: if not isinstance(x, int) or a: return None reveal_type(x) # N: Revealed type is "builtins.int" return x [builtins fixtures/isinstance.pyi] [case testIsinstanceOr3] from typing import Optional def h(a: bool, x: object) -> Optional[int]: if a or isinstance(x, int): return None return x # E: Incompatible return value type (got "object", expected "Optional[int]") [builtins fixtures/isinstance.pyi] [case testIsinstanceWithOverlappingUnionType] from typing import Union def f(x: Union[float, int]) -> None: if isinstance(x, float): pass if not isinstance(x, int): f(x) [builtins fixtures/isinstance.pyi] [case testIsinstanceWithOverlappingUnionType2] from typing import Union class A: pass class B(A): pass def f(x: Union[A, B]) -> None: if isinstance(x, A): pass if not isinstance(x, B): f(x) [builtins fixtures/isinstance.pyi] [case testIsinstanceWithOverlappingPromotionTypes] from typing import Union class FloatLike: pass class IntLike(FloatLike): pass def f1(x: Union[float, int]) -> None: # We ignore promotions in isinstance checks if isinstance(x, float): reveal_type(x) # N: Revealed type is "builtins.float" else: reveal_type(x) # N: Revealed type is "builtins.int" def f2(x: Union[FloatLike, IntLike]) -> None: # ...but not regular subtyping relationships if isinstance(x, FloatLike): reveal_type(x) # N: Revealed type is "Union[__main__.FloatLike, __main__.IntLike]" [builtins fixtures/isinstance.pyi] [case testIsinstanceOfSuperclass] class A: pass class B(A): pass x = B() if isinstance(x, A): reveal_type(x) # N: Revealed type is "__main__.B" if not isinstance(x, A): reveal_type(x) # unreachable x = A() reveal_type(x) # N: Revealed type is "__main__.B" [builtins fixtures/isinstance.pyi] [case testIsinstanceOfNonoverlapping] class A: pass class B: pass x = B() if isinstance(x, A): reveal_type(x) # N: Revealed type is "__main__." else: reveal_type(x) # N: Revealed type is "__main__.B" reveal_type(x) # N: Revealed type is "__main__.B" [builtins fixtures/isinstance.pyi] [case testAssertIsinstance] def f(x: object): assert isinstance(x, int) y = 0 # type: int y = x [builtins fixtures/isinstance.pyi] [case testUnionAssertIsinstance] from typing import Union def f(x: Union[str, int]): assert isinstance(x, int) y = 0 # type: int y = x [builtins fixtures/isinstance.pyi] [case testAnyAssertIsinstance] from typing import Any def f(x: Any): assert isinstance(x, int) # this should narrow x to type int x + "foo" # E: Unsupported operand types for + ("int" and "str") [builtins fixtures/isinstance.pyi] [case testIsinstanceOfGenericClassRetainsParameters] from typing import List, Union def f(x: Union[List[int], str]) -> None: if isinstance(x, list): x[0]() # E: "int" not callable else: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.str]" [builtins fixtures/isinstancelist.pyi] [case testIsinstanceOrIsinstance] class A: pass class B(A): flag = 1 class C(A): flag = 2 x1 = A() if isinstance(x1, B) or isinstance(x1, C): reveal_type(x1) # N: Revealed type is "Union[__main__.B, __main__.C]" f = x1.flag # type: int else: reveal_type(x1) # N: Revealed type is "__main__.A" f = 0 reveal_type(x1) # N: Revealed type is "__main__.A" x2 = A() if isinstance(x2, A) or isinstance(x2, C): reveal_type(x2) # N: Revealed type is "__main__.A" f = x2.flag # E: "A" has no attribute "flag" else: # unreachable 1() reveal_type(x2) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testComprehensionIsInstance] from typing import List, Union a = [] # type: List[Union[int, str]] l = [x for x in a if isinstance(x, int)] g = (x for x in a if isinstance(x, int)) d = {0: x for x in a if isinstance(x, int)} reveal_type(l) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(g) # N: Revealed type is "typing.Generator[builtins.int, None, None]" reveal_type(d) # N: Revealed type is "builtins.dict[builtins.int, builtins.int]" [builtins fixtures/isinstancelist.pyi] [case testIsinstanceInWrongOrderInBooleanOp] class A: m = 1 def f(x: object) -> None: if x.m and isinstance(x, A) or False: # E: "object" has no attribute "m" pass [builtins fixtures/isinstance.pyi] [case testIsinstanceAndOr] class A: a = None # type: A def f(x: object) -> None: b = isinstance(x, A) and x.a or A() reveal_type(b) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testIsInstanceWithUnknownType] from typing import Union def f(x: Union[int, str], typ: type) -> None: if isinstance(x, (typ, int)): x + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceWithBoundedType] from typing import Union, Type class A: pass def f(x: Union[int, A], a: Type[A]) -> None: if isinstance(x, (a, int)): reveal_type(x) # N: Revealed type is "Union[builtins.int, __main__.A]" else: reveal_type(x) # N: Revealed type is "__main__.A" reveal_type(x) # N: Revealed type is "Union[builtins.int, __main__.A]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceWithEmtpy2ndArg] # flags: --warn-unreachable from typing import Union def f(x: Union[int, str]) -> None: if isinstance(x, ()): reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceWithTypeObject] from typing import Union, Type class A: pass def f(x: Union[int, A], a: Type[A]) -> None: if isinstance(x, a): reveal_type(x) # N: Revealed type is "__main__.A" elif isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "__main__.A" reveal_type(x) # N: Revealed type is "Union[builtins.int, __main__.A]" [builtins fixtures/isinstancelist.pyi] [case testIssubclassUnreachable] from typing import Type, Sequence, Union x: Type[str] if issubclass(x, int): reveal_type(x) # unreachable block class X: pass class Y(X): pass class Z(X): pass a: Union[Type[Y], Type[Z]] if issubclass(a, X): reveal_type(a) # N: Revealed type is "Union[type[__main__.Y], type[__main__.Z]]" else: reveal_type(a) # unreachable block [builtins fixtures/isinstancelist.pyi] [case testIssubclasDestructuringUnions1] from typing import Union, List, Tuple, Dict, Type def f(x: Union[Type[int], Type[str], Type[List]]) -> None: if issubclass(x, (str, (int,))): reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str]" x()[1] # E: Value of type "Union[int, str]" is not indexable else: reveal_type(x) # N: Revealed type is "type[builtins.list[Any]]" reveal_type(x()) # N: Revealed type is "builtins.list[Any]" x()[1] reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" if issubclass(x, (str, (list,))): reveal_type(x) # N: Revealed type is "Union[type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.str, builtins.list[Any]]" x()[1] reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" [builtins fixtures/isinstancelist.pyi] [case testIssubclasDestructuringUnions2] from typing import Union, List, Tuple, Dict, Type def f(x: Type[Union[int, str, List]]) -> None: if issubclass(x, (str, (int,))): reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str]" x()[1] # E: Value of type "Union[int, str]" is not indexable else: reveal_type(x) # N: Revealed type is "type[builtins.list[Any]]" reveal_type(x()) # N: Revealed type is "builtins.list[Any]" x()[1] reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" if issubclass(x, (str, (list,))): reveal_type(x) # N: Revealed type is "Union[type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.str, builtins.list[Any]]" x()[1] reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" [builtins fixtures/isinstancelist.pyi] [case testIssubclasDestructuringUnions3] from typing import Union, List, Tuple, Dict, Type def f(x: Type[Union[int, str, List]]) -> None: reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" if issubclass(x, (str, (int,))): reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str]" x()[1] # E: Value of type "Union[int, str]" is not indexable else: reveal_type(x) # N: Revealed type is "type[builtins.list[Any]]" reveal_type(x()) # N: Revealed type is "builtins.list[Any]" x()[1] reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" if issubclass(x, (str, (list,))): reveal_type(x) # N: Revealed type is "Union[type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.str, builtins.list[Any]]" x()[1] reveal_type(x) # N: Revealed type is "Union[type[builtins.int], type[builtins.str], type[builtins.list[Any]]]" reveal_type(x()) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.list[Any]]" [builtins fixtures/isinstancelist.pyi] [case testIssubclass] from typing import Type, ClassVar class Goblin: level: int class GoblinAmbusher(Goblin): job: ClassVar[str] = 'Ranger' def test_issubclass(cls: Type[Goblin]) -> None: if issubclass(cls, GoblinAmbusher): reveal_type(cls) # N: Revealed type is "type[__main__.GoblinAmbusher]" cls.level cls.job ga = cls() ga.level = 15 ga.job ga.job = "Warrior" # E: Cannot assign to class variable "job" via instance else: reveal_type(cls) # N: Revealed type is "type[__main__.Goblin]" cls.level cls.job # E: "type[Goblin]" has no attribute "job" g = cls() g.level = 15 g.job # E: "Goblin" has no attribute "job" [builtins fixtures/isinstancelist.pyi] [case testIssubclassDeepHierarchy] from typing import Type, ClassVar class Mob: pass class Goblin(Mob): level: int class GoblinAmbusher(Goblin): job: ClassVar[str] = 'Ranger' def test_issubclass(cls: Type[Mob]) -> None: if issubclass(cls, Goblin): reveal_type(cls) # N: Revealed type is "type[__main__.Goblin]" cls.level cls.job # E: "type[Goblin]" has no attribute "job" g = cls() g.level = 15 g.job # E: "Goblin" has no attribute "job" if issubclass(cls, GoblinAmbusher): reveal_type(cls) # N: Revealed type is "type[__main__.GoblinAmbusher]" cls.level cls.job g = cls() g.level = 15 g.job g.job = 'Warrior' # E: Cannot assign to class variable "job" via instance else: reveal_type(cls) # N: Revealed type is "type[__main__.Mob]" cls.job # E: "type[Mob]" has no attribute "job" cls.level # E: "type[Mob]" has no attribute "level" m = cls() m.level = 15 # E: "Mob" has no attribute "level" m.job # E: "Mob" has no attribute "job" if issubclass(cls, GoblinAmbusher): reveal_type(cls) # N: Revealed type is "type[__main__.GoblinAmbusher]" cls.job cls.level ga = cls() ga.level = 15 ga.job ga.job = 'Warrior' # E: Cannot assign to class variable "job" via instance if issubclass(cls, GoblinAmbusher): reveal_type(cls) # N: Revealed type is "type[__main__.GoblinAmbusher]" cls.level cls.job ga = cls() ga.level = 15 ga.job ga.job = "Warrior" # E: Cannot assign to class variable "job" via instance [builtins fixtures/isinstancelist.pyi] [case testIssubclassTuple] from typing import Type, ClassVar class Mob: pass class Goblin(Mob): level: int class GoblinAmbusher(Goblin): job: ClassVar[str] = 'Ranger' class GoblinDigger(Goblin): job: ClassVar[str] = 'Thief' def test_issubclass(cls: Type[Mob]) -> None: if issubclass(cls, (Goblin, GoblinAmbusher)): reveal_type(cls) # N: Revealed type is "type[__main__.Goblin]" cls.level cls.job # E: "type[Goblin]" has no attribute "job" g = cls() g.level = 15 g.job # E: "Goblin" has no attribute "job" if issubclass(cls, GoblinAmbusher): cls.level reveal_type(cls) # N: Revealed type is "type[__main__.GoblinAmbusher]" cls.job ga = cls() ga.level = 15 ga.job ga.job = "Warrior" # E: Cannot assign to class variable "job" via instance else: reveal_type(cls) # N: Revealed type is "type[__main__.Mob]" cls.job # E: "type[Mob]" has no attribute "job" cls.level # E: "type[Mob]" has no attribute "level" m = cls() m.level = 15 # E: "Mob" has no attribute "level" m.job # E: "Mob" has no attribute "job" if issubclass(cls, GoblinAmbusher): reveal_type(cls) # N: Revealed type is "type[__main__.GoblinAmbusher]" cls.job cls.level ga = cls() ga.level = 15 ga.job ga.job = "Warrior" # E: Cannot assign to class variable "job" via instance if issubclass(cls, (GoblinDigger, GoblinAmbusher)): reveal_type(cls) # N: Revealed type is "Union[type[__main__.GoblinDigger], type[__main__.GoblinAmbusher]]" cls.level cls.job g = cls() g.level = 15 g.job g.job = "Warrior" # E: Cannot assign to class variable "job" via instance [builtins fixtures/isinstancelist.pyi] [case testIssubclassBuiltins] from typing import List, Type class MyList(List): pass class MyIntList(List[int]): pass def f(cls: Type[object]) -> None: if issubclass(cls, MyList): reveal_type(cls) # N: Revealed type is "type[__main__.MyList]" cls()[0] else: reveal_type(cls) # N: Revealed type is "type[builtins.object]" cls()[0] # E: Value of type "object" is not indexable if issubclass(cls, MyIntList): reveal_type(cls) # N: Revealed type is "type[__main__.MyIntList]" cls()[0] + 1 [builtins fixtures/isinstancelist.pyi] [case testIsinstanceTypeArgs] from typing import Iterable, TypeVar x = 1 isinstance(x, Iterable) isinstance(x, Iterable[int]) # E: Parameterized generics cannot be used with class or instance checks isinstance(x, (int, Iterable[int])) # E: Parameterized generics cannot be used with class or instance checks isinstance(x, (int, (str, Iterable[int]))) # E: Parameterized generics cannot be used with class or instance checks [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-full.pyi] [case testIsinstanceAnyAlias] from typing import Any A = Any isinstance(object(), A) # E: Cannot use isinstance() with Any type [builtins fixtures/isinstance.pyi] [case testIsinstanceTypeArgsAliases] from typing import Iterable, TypeVar x = 1 T = TypeVar('T') It = Iterable It2 = Iterable[T] isinstance(x, It[int]) # E: Parameterized generics cannot be used with class or instance checks isinstance(x, It) isinstance(x, It2[int]) # E: Parameterized generics cannot be used with class or instance checks isinstance(x, It2) # E: Parameterized generics cannot be used with class or instance checks [builtins fixtures/isinstance.pyi] [typing fixtures/typing-full.pyi] [case testIssubclassTypeArgs] from typing import Iterable, TypeVar x = int issubclass(x, Iterable) issubclass(x, Iterable[int]) # E: Parameterized generics cannot be used with class or instance checks issubclass(x, (int, Iterable[int])) # E: Parameterized generics cannot be used with class or instance checks [builtins fixtures/isinstance.pyi] [typing fixtures/typing-full.pyi] [case testIssubclassWithMetaclasses] # flags: --no-strict-optional class FooMetaclass(type): ... class Foo(metaclass=FooMetaclass): ... class Bar: ... fm: FooMetaclass reveal_type(fm) # N: Revealed type is "__main__.FooMetaclass" if issubclass(fm, Foo): reveal_type(fm) # N: Revealed type is "type[__main__.Foo]" if issubclass(fm, Bar): reveal_type(fm) # N: Revealed type is "None" [builtins fixtures/isinstance.pyi] [case testIssubclassWithMetaclassesStrictOptional] class FooMetaclass(type): ... class BarMetaclass(type): ... class Foo(metaclass=FooMetaclass): ... class Bar(metaclass=BarMetaclass): ... class Baz: ... fm: FooMetaclass reveal_type(fm) # N: Revealed type is "__main__.FooMetaclass" if issubclass(fm, Foo): reveal_type(fm) # N: Revealed type is "type[__main__.Foo]" if issubclass(fm, Bar): reveal_type(fm) # N: Revealed type is "type[__main__.Bar]" if issubclass(fm, Baz): reveal_type(fm) # N: Revealed type is "type[__main__.Baz]" [builtins fixtures/isinstance.pyi] [case testIsinstanceAndNarrowTypeVariable] from typing import TypeVar class A: pass class B(A): attr: int T = TypeVar('T', bound=A) def f(x: T) -> None: if isinstance(x, B): reveal_type(x) # N: Revealed type is "T`-1" reveal_type(x.attr) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "T`-1" x.attr # E: "T" has no attribute "attr" reveal_type(x) # N: Revealed type is "T`-1" x.attr # E: "T" has no attribute "attr" [builtins fixtures/isinstance.pyi] [case testIsinstanceAndNegativeNarrowTypeVariableWithUnionBound1] from typing import Union, TypeVar class A: a: int class B: b: int T = TypeVar("T", bound=Union[A, B]) def f(x: T) -> T: if isinstance(x, A): reveal_type(x) # N: Revealed type is "T`-1" x.a x.b # E: "T" has no attribute "b" if bool(): return x else: reveal_type(x) # N: Revealed type is "T`-1" x.a # E: "T" has no attribute "a" x.b x.a # E: Item "B" of the upper bound "Union[A, B]" of type variable "T" has no attribute "a" x.b # E: Item "A" of the upper bound "Union[A, B]" of type variable "T" has no attribute "b" return x [builtins fixtures/isinstance.pyi] [case testIsinstanceAndNegativeNarrowTypeVariableWithUnionBound2] from typing import Union, TypeVar class A: a: int class B: b: int T = TypeVar("T", bound=Union[A, B]) def f(x: T) -> T: if isinstance(x, A): return x x.a # E: "T" has no attribute "a" x.b # OK return x [builtins fixtures/isinstance.pyi] [case testIsinstanceAndTypeType] from typing import Type def f(x: Type[int]) -> None: if isinstance(x, type): reveal_type(x) # N: Revealed type is "type[builtins.int]" else: reveal_type(x) # Unreachable reveal_type(x) # N: Revealed type is "type[builtins.int]" [builtins fixtures/isinstance.pyi] [case testIsinstanceVariableSubstitution] T = (int, str) U = (list, T) x: object = None if isinstance(x, T): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" if isinstance(x, U): reveal_type(x) # N: Revealed type is "Union[builtins.list[Any], builtins.int, builtins.str]" if isinstance(x, (set, (list, T))): reveal_type(x) # N: Revealed type is "Union[builtins.set[Any], builtins.list[Any], builtins.int, builtins.str]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceTooFewArgs] isinstance() # E: Missing positional arguments "x", "t" in call to "isinstance" x: object if isinstance(): # E: Missing positional arguments "x", "t" in call to "isinstance" x = 1 reveal_type(x) # N: Revealed type is "builtins.int" if isinstance(x): # E: Missing positional argument "t" in call to "isinstance" x = 1 reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [case testIsSubclassTooFewArgs] from typing import Type issubclass() # E: Missing positional arguments "x", "t" in call to "issubclass" y: Type[object] if issubclass(): # E: Missing positional arguments "x", "t" in call to "issubclass" reveal_type(y) # N: Revealed type is "type[builtins.object]" if issubclass(y): # E: Missing positional argument "t" in call to "issubclass" reveal_type(y) # N: Revealed type is "type[builtins.object]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceTooManyArgs] isinstance(1, 1, 1) # E: Too many arguments for "isinstance" \ # E: Argument 2 to "isinstance" has incompatible type "int"; expected "Union[type, tuple[Any, ...]]" x: object if isinstance(x, str, 1): # E: Too many arguments for "isinstance" reveal_type(x) # N: Revealed type is "builtins.object" x = 1 reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [case testIsinstanceNarrowAnyExplicit] from typing import Any def narrow_any_to_str_then_reassign_to_int() -> None: v: Any = 1 if isinstance(v, str): reveal_type(v) # N: Revealed type is "builtins.str" v = 2 reveal_type(v) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testIsinstanceNarrowAnyImplicit] def foo(): ... def narrow_any_to_str_then_reassign_to_int() -> None: v = foo() if isinstance(v, str): reveal_type(v) # N: Revealed type is "builtins.str" v = 2 reveal_type(v) # N: Revealed type is "builtins.int" [builtins fixtures/isinstance.pyi] [case testNarrowTypeAfterInList] from typing import List, Optional x: List[int] y: Optional[int] if y in x: reveal_type(y) # N: Revealed type is "builtins.int" else: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" if y not in x: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(y) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [out] [case testNarrowTypeAfterInListOfOptional] from typing import List, Optional x: List[Optional[int]] y: Optional[int] if y not in x: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/list.pyi] [out] [case testNarrowTypeAfterInListNonOverlapping] from typing import List, Optional x: List[str] y: Optional[int] if y in x: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/list.pyi] [out] [case testNarrowTypeAfterInListNested] from typing import List, Optional, Any x: Optional[int] lst: Optional[List[int]] nested_any: List[List[Any]] if lst in nested_any: reveal_type(lst) # N: Revealed type is "builtins.list[builtins.int]" if x in nested_any: reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/list.pyi] [out] [case testNarrowTypeAfterInTuple] from typing import Optional class A: pass class B(A): pass class C(A): pass y: Optional[B] if y in (B(), C()): reveal_type(y) # N: Revealed type is "__main__.B" else: reveal_type(y) # N: Revealed type is "Union[__main__.B, None]" [builtins fixtures/tuple.pyi] [out] [case testNarrowTypeAfterInNamedTuple] from typing import NamedTuple, Optional class NT(NamedTuple): x: int y: int nt: NT y: Optional[int] if y not in nt: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(y) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [out] [case testNarrowTypeAfterInDict] from typing import Dict, Optional x: Dict[str, int] y: Optional[str] if y in x: reveal_type(y) # N: Revealed type is "builtins.str" else: reveal_type(y) # N: Revealed type is "Union[builtins.str, None]" if y not in x: reveal_type(y) # N: Revealed type is "Union[builtins.str, None]" else: reveal_type(y) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [out] [case testNarrowTypeAfterInNoAnyOrObject] from typing import Any, List, Optional x: List[Any] z: List[object] y: Optional[int] if y in x: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" if y not in z: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" [typing fixtures/typing-medium.pyi] [builtins fixtures/list.pyi] [out] [case testNarrowTypeAfterInUserDefined] from typing import Container, Optional class C(Container[int]): def __contains__(self, item: object) -> bool: return item is 'surprise' y: Optional[int] # We never trust user defined types if y in C(): reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" if y not in C(): reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" else: reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" [typing fixtures/typing-full.pyi] [builtins fixtures/list.pyi] [out] [case testNarrowTypeAfterInSet] from typing import Optional, Set s: Set[str] y: Optional[str] if y in {'a', 'b', 'c'}: reveal_type(y) # N: Revealed type is "builtins.str" else: reveal_type(y) # N: Revealed type is "Union[builtins.str, None]" if y not in s: reveal_type(y) # N: Revealed type is "Union[builtins.str, None]" else: reveal_type(y) # N: Revealed type is "builtins.str" [builtins fixtures/set.pyi] [out] [case testNarrowTypeAfterInTypedDict] from typing import Optional, TypedDict class TD(TypedDict): a: int b: str td: TD def f() -> None: x: Optional[str] if x not in td: return reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testIsinstanceWidensWithAnyArg] from typing import Any class A: ... B: Any x: A x.foo() # E: "A" has no attribute "foo" assert isinstance(x, B) x.foo() reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testIsinstanceWidensUnionWithAnyArg] from typing import Any, Union class A: ... B: Any x: Union[A, B] reveal_type(x) # N: Revealed type is "Union[__main__.A, Any]" assert isinstance(x, B) reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testIsinstanceIgnoredImport] from typing import Union from foo import A # type: ignore def f(x: Union[A, str]) -> None: x.method_only_in_a() # E: Item "str" of "Union[Any, str]" has no attribute "method_only_in_a" if isinstance(x, A): x.method_only_in_a() [builtins fixtures/isinstance.pyi] [case testIsinstanceIgnoredImportDualAny] from typing import Any from foo import Bad, OtherBad # type: ignore x: Any if isinstance(x, Bad): reveal_type(x) # N: Revealed type is "Any" else: reveal_type(x) # N: Revealed type is "Any" if isinstance(x, (Bad, OtherBad)): reveal_type(x) # N: Revealed type is "Any" else: reveal_type(x) # N: Revealed type is "Any" y: object if isinstance(y, Bad): reveal_type(y) # N: Revealed type is "Any" else: reveal_type(y) # N: Revealed type is "builtins.object" class Ok: pass z: Any if isinstance(z, Ok): reveal_type(z) # N: Revealed type is "__main__.Ok" else: reveal_type(z) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testIsInstanceInitialNoneCheckSkipsImpossibleCasesNoStrictOptional] from typing import Optional, Union class A: pass def foo1(x: Union[A, str, None]) -> None: if x is None: reveal_type(x) # N: Revealed type is "None" elif isinstance(x, A): reveal_type(x) # N: Revealed type is "__main__.A" else: reveal_type(x) # N: Revealed type is "builtins.str" def foo2(x: Optional[str]) -> None: if x is None: reveal_type(x) # N: Revealed type is "None" elif isinstance(x, A): reveal_type(x) # N: Revealed type is "__main__." else: reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/isinstance.pyi] [case testIsInstanceInitialNoneCheckSkipsImpossibleCasesInNoStrictOptional] # flags: --no-strict-optional from typing import Optional, Union class A: pass def foo1(x: Union[A, str, None]) -> None: if x is None: reveal_type(x) # N: Revealed type is "None" elif isinstance(x, A): # Note that Union[None, A] == A in no-strict-optional reveal_type(x) # N: Revealed type is "__main__.A" else: reveal_type(x) # N: Revealed type is "builtins.str" def foo2(x: Optional[str]) -> None: if x is None: reveal_type(x) # N: Revealed type is "None" elif isinstance(x, A): reveal_type(x) # N: Revealed type is "__main__." else: reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/isinstance.pyi] [case testNoneCheckDoesNotMakeTypeVarOptional] from typing import TypeVar T = TypeVar('T') def foo_if(x: T) -> T: out = None out = x if out is None: pass return out def foo_while(x: T) -> T: out = None out = x while out is None: pass return out [builtins fixtures/isinstance.pyi] [case testNoneCheckDoesNotNarrowWhenUsingTypeVarsNoStrictOptional] # flags: --no-strict-optional from typing import TypeVar T = TypeVar('T') def foo(x: T) -> T: out = None out = x if out is None: pass return out [builtins fixtures/isinstance.pyi] [case testNoneAndGenericTypesOverlapNoStrictOptional] # flags: --no-strict-optional from typing import Union, Optional, List # Note: this test is indirectly making sure meet.is_overlapping_types # correctly ignores 'None' in unions. def foo(x: Optional[List[str]]) -> None: reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.str], None]" assert isinstance(x, list) reveal_type(x) # N: Revealed type is "builtins.list[builtins.str]" def bar(x: Union[List[str], List[int], None]) -> None: reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.str], builtins.list[builtins.int], None]" assert isinstance(x, list) reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.str], builtins.list[builtins.int]]" [builtins fixtures/isinstancelist.pyi] [case testNoneAndGenericTypesOverlapStrictOptional] from typing import Union, Optional, List # This test is the same as the one above, except for strict-optional. # It isn't testing anything explicitly and mostly exists for the sake # of completeness. def foo(x: Optional[List[str]]) -> None: reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.str], None]" assert isinstance(x, list) reveal_type(x) # N: Revealed type is "builtins.list[builtins.str]" def bar(x: Union[List[str], List[int], None]) -> None: reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.str], builtins.list[builtins.int], None]" assert isinstance(x, list) reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.str], builtins.list[builtins.int]]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceWithStarExpression] from typing import Union, List, Tuple def f(var: Union[List[str], Tuple[str, str], str]) -> None: reveal_type(var) # N: Revealed type is "Union[builtins.list[builtins.str], tuple[builtins.str, builtins.str], builtins.str]" if isinstance(var, (list, *(str, int))): reveal_type(var) # N: Revealed type is "Union[builtins.list[builtins.str], builtins.str]" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceWithStarExpressionAndVariable] from typing import Union def f(var: Union[int, str]) -> None: reveal_type(var) # N: Revealed type is "Union[builtins.int, builtins.str]" some_types = (str, tuple) another_type = list if isinstance(var, (*some_types, another_type)): reveal_type(var) # N: Revealed type is "builtins.str" [builtins fixtures/isinstancelist.pyi] [case testIsInstanceWithWrongStarExpression] var = 'some string' if isinstance(var, *(str, int)): # E: Too many arguments for "isinstance" pass [builtins fixtures/isinstancelist.pyi] [case testIsInstanceAdHocIntersectionBasic] class A: def f1(self) -> int: ... class B: def f2(self) -> int: ... class C: def f3(self) -> int: ... x: A if isinstance(x, B): reveal_type(x) # N: Revealed type is "__main__." if isinstance(x, C): reveal_type(x) # N: Revealed type is "__main__." reveal_type(x.f1()) # N: Revealed type is "builtins.int" reveal_type(x.f2()) # N: Revealed type is "builtins.int" reveal_type(x.f3()) # N: Revealed type is "builtins.int" x.bad() # E: "" has no attribute "bad" else: reveal_type(x) # N: Revealed type is "__main__." else: reveal_type(x) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionRepeatedChecks] # flags: --warn-unreachable class A: pass class B: pass x: A if isinstance(x, B): reveal_type(x) # N: Revealed type is "__main__." if isinstance(x, A): reveal_type(x) # N: Revealed type is "__main__." if isinstance(x, B): reveal_type(x) # N: Revealed type is "__main__." [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionIncompatibleClasses] # flags: --warn-unreachable class A: def f(self) -> int: ... class B: def f(self) -> str: ... class C: def f(self) -> str: ... class Example(A, B): pass # E: Definition of "f" in base class "A" is incompatible with definition in base class "B" x: A if isinstance(x, B): # E: Subclass of "A" and "B" cannot exist: would have incompatible method signatures reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "__main__.A" y: C if isinstance(y, B): reveal_type(y) # N: Revealed type is "__main__." if isinstance(y, A): # E: Subclass of "C", "B", and "A" cannot exist: would have incompatible method signatures reveal_type(y) # E: Statement is unreachable [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionReversed] # flags: --warn-unreachable from abc import abstractmethod from typing import Literal class A0: def f(self) -> Literal[0]: ... class A1: def f(self) -> Literal[1]: ... class A2: def f(self) -> Literal[2]: ... class B: @abstractmethod def f(self) -> Literal[1, 2]: ... def t0(self) -> None: if isinstance(self, A0): # E: Subclass of "B" and "A0" cannot exist: would have incompatible method signatures x0: Literal[0] = self.f() # E: Statement is unreachable def t1(self) -> None: if isinstance(self, A1): reveal_type(self) # N: Revealed type is "__main__." x0: Literal[0] = self.f() # E: Incompatible types in assignment (expression has type "Literal[1]", variable has type "Literal[0]") x1: Literal[1] = self.f() def t2(self) -> None: if isinstance(self, (A0, A1)): reveal_type(self) # N: Revealed type is "__main__." x0: Literal[0] = self.f() # E: Incompatible types in assignment (expression has type "Literal[1]", variable has type "Literal[0]") x1: Literal[1] = self.f() def t3(self) -> None: if isinstance(self, (A1, A2)): reveal_type(self) # N: Revealed type is "Union[__main__., __main__.]" x0: Literal[0] = self.f() # E: Incompatible types in assignment (expression has type "Literal[1, 2]", variable has type "Literal[0]") x1: Literal[1] = self.f() # E: Incompatible types in assignment (expression has type "Literal[1, 2]", variable has type "Literal[1]") [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionGenerics] # flags: --warn-unreachable from typing import Generic, TypeVar class Parent: pass class Child(Parent): pass T = TypeVar('T') class A(Generic[T]): def f(self) -> T: ... class B: def f(self) -> Parent: ... x: A[int] if isinstance(x, B): # E: Subclass of "A[int]" and "B" cannot exist: would have incompatible method signatures reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "__main__.A[builtins.int]" y: A[Parent] if isinstance(y, B): reveal_type(y) # N: Revealed type is "__main__." reveal_type(y.f()) # N: Revealed type is "__main__.Parent" else: reveal_type(y) # N: Revealed type is "__main__.A[__main__.Parent]" z: A[Child] if isinstance(z, B): reveal_type(z) # N: Revealed type is "__main__." reveal_type(z.f()) # N: Revealed type is "__main__.Child" else: reveal_type(z) # N: Revealed type is "__main__.A[__main__.Child]" [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionGenericsWithValues] # flags: --warn-unreachable from typing import TypeVar class A: attr: int class B: attr: int class C: attr: str T1 = TypeVar('T1', A, B) def f1(x: T1) -> T1: if isinstance(x, A): reveal_type(x) # N: Revealed type is "__main__.A" \ # N: Revealed type is "__main__." if isinstance(x, B): reveal_type(x) # N: Revealed type is "__main__." \ # N: Revealed type is "__main__." else: reveal_type(x) # N: Revealed type is "__main__.A" else: reveal_type(x) # N: Revealed type is "__main__.B" return x T2 = TypeVar('T2', B, C) def f2(x: T2) -> T2: if isinstance(x, B): reveal_type(x) # N: Revealed type is "__main__.B" # Note: even though --warn-unreachable is set, we don't report # errors for the below: we don't yet have a way of filtering out # reachability errors that occur for only one variation of the # TypeVar yet. if isinstance(x, C): reveal_type(x) else: reveal_type(x) # N: Revealed type is "__main__.B" else: reveal_type(x) # N: Revealed type is "__main__.C" return x [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionGenericsWithValuesDirectReturn] # flags: --warn-unreachable from typing import TypeVar class A: attr: int class B: attr: int class C: attr: str T1 = TypeVar('T1', A, B) def f1(x: T1) -> T1: if isinstance(x, A): # The error message is confusing, but we indeed do run into problems if # 'x' is a subclass of __main__.A and __main__.B return A() # E: Incompatible return value type (got "A", expected "B") else: return B() T2 = TypeVar('T2', B, C) def f2(x: T2) -> T2: if isinstance(x, B): # In contrast, it's impossible for a subclass of "B" and "C" to # exist, so this is fine return B() else: return C() [builtins fixtures/isinstance.pyi] [case testIsInstanceDisjointBase] # flags: --warn-unreachable from typing_extensions import disjoint_base @disjoint_base class Disjoint1: pass @disjoint_base class Disjoint2: pass @disjoint_base class Disjoint3(Disjoint1): pass class Child(Disjoint1): pass class Unrelated: pass def f(d1: Disjoint1, u: Unrelated, c: Child) -> object: if isinstance(d1, Disjoint2): # E: Subclass of "Disjoint1" and "Disjoint2" cannot exist: have distinct disjoint bases return u # E: Statement is unreachable if isinstance(u, Disjoint1): # OK return d1 if isinstance(c, Disjoint3): # OK return c if isinstance(c, Disjoint2): # E: Subclass of "Child" and "Disjoint2" cannot exist: have distinct disjoint bases return c # E: Statement is unreachable return d1 [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionUsage] # flags: --warn-unreachable class A: pass class B: pass class Concrete(A, B): pass def accept_a(a: A) -> None: pass def accept_b(a: B) -> None: pass def accept_concrete(c: Concrete) -> None: pass x: A if isinstance(x, B): var = x reveal_type(var) # N: Revealed type is "__main__." accept_a(var) accept_b(var) accept_concrete(var) # E: Argument 1 to "accept_concrete" has incompatible type ""; expected "Concrete" [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionReinfer] # flags: --warn-unreachable class A: pass class B: pass x: A assert isinstance(x, B) reveal_type(x) # N: Revealed type is "__main__." y: A assert isinstance(y, B) reveal_type(y) # N: Revealed type is "__main__." x = y reveal_type(x) # N: Revealed type is "__main__." [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionWithUnions] # flags: --warn-unreachable from typing import Type, Union class A: pass class B: pass class C: pass class D: pass v1: A if isinstance(v1, (B, C)): reveal_type(v1) # N: Revealed type is "Union[__main__., __main__.]" v2: Union[A, B] if isinstance(v2, C): reveal_type(v2) # N: Revealed type is "Union[__main__., __main__.]" v3: Union[A, B] if isinstance(v3, (C, D)): reveal_type(v3) # N: Revealed type is "Union[__main__., __main__., __main__., __main__.]" [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionSameNames] # flags: --warn-unreachable from foo import A as A2 class A: pass x: A if isinstance(x, A2): reveal_type(x) # N: Revealed type is "__main__." [file foo.py] class A: pass [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionBadMro] # flags: --warn-unreachable class X: pass class Y: pass class A(X, Y): pass class B(Y, X): pass foo: A if isinstance(foo, B): # E: Subclass of "A" and "B" cannot exist: would have inconsistent method resolution order reveal_type(foo) # E: Statement is unreachable [builtins fixtures/isinstance.pyi] [case testIsInstanceAdHocIntersectionAmbiguousClass] # flags: --warn-unreachable from typing import Any class Concrete: x: int class Ambiguous: x: Any # We bias towards assuming these two classes could be overlapping foo: Concrete if isinstance(foo, Ambiguous): reveal_type(foo) # N: Revealed type is "__main__." reveal_type(foo.x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstance.pyi] [case testIsSubclassAdHocIntersection] # flags: --warn-unreachable from typing import Type class A: x: int class B: x: int class C: x: str x: Type[A] if issubclass(x, B): reveal_type(x) # N: Revealed type is "type[__main__.]" if issubclass(x, C): # E: Subclass of "A", "B", and "C" cannot exist: would have incompatible method signatures reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "type[__main__.]" else: reveal_type(x) # N: Revealed type is "type[__main__.A]" [builtins fixtures/isinstance.pyi] [case testTypeEqualsCheck] from typing import Any y: Any if type(y) == int: reveal_type(y) # N: Revealed type is "builtins.int" [case testMultipleTypeEqualsCheck] from typing import Any x: Any y: Any if type(x) == type(y) == int: reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "builtins.int" [case testTypeEqualsCheckUsingIs] from typing import Any y: Any if type(y) is int: reveal_type(y) # N: Revealed type is "builtins.int" [case testTypeEqualsCheckUsingIsNonOverlapping] # flags: --warn-unreachable from typing import Union y: str if type(y) is int: # E: Subclass of "str" and "int" cannot exist: would have incompatible method signatures y # E: Statement is unreachable else: reveal_type(y) # N: Revealed type is "builtins.str" [builtins fixtures/isinstance.pyi] [case testTypeEqualsCheckUsingIsNonOverlappingChild-xfail] # flags: --warn-unreachable from typing import Union class A: ... class B: ... class C(A): ... x: Union[B, C] # C instance cannot be exactly its parent A, we need reversed subtyping relationship # here (type(parent) is Child). if type(x) is A: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "Union[__main__.B, __main__.C]" [builtins fixtures/isinstance.pyi] [case testTypeEqualsNarrowingUnionWithElse] from typing import Union x: Union[int, str] if type(x) is int: reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testTypeEqualsMultipleTypesShouldntNarrow] # make sure we don't do any narrowing if there are multiple types being compared from typing import Union x: Union[int, str] if type(x) == int == str: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" # mypy thinks int isn't defined unless we include this [builtins fixtures/primitives.pyi] [case testTypeNotEqualsCheck] from typing import Union x: Union[int, str] if type(x) != int: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(x) # N: Revealed type is "builtins.int" # mypy thinks int isn't defined unless we include this [builtins fixtures/primitives.pyi] [case testTypeNotEqualsCheckUsingIsNot] from typing import Union x: Union[int, str] if type(x) is not int: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(x) # N: Revealed type is "builtins.int" [case testNarrowInElseCaseIfFinal] from typing import final, Union @final class C: pass class D: pass x: Union[C, D] if type(x) is C: reveal_type(x) # N: Revealed type is "__main__.C" else: reveal_type(x) # N: Revealed type is "__main__.D" [case testNarrowInIfCaseIfFinalUsingIsNot] from typing import final, Union @final class C: pass class D: pass x: Union[C, D] if type(x) is not C: reveal_type(x) # N: Revealed type is "__main__.D" else: reveal_type(x) # N: Revealed type is "__main__.C" [case testHasAttrExistingAttribute] class C: x: int c: C if hasattr(c, "x"): reveal_type(c.x) # N: Revealed type is "builtins.int" else: # We don't mark this unreachable since people may check for deleted attributes reveal_type(c.x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeInstance] class B: ... b: B if hasattr(b, "x"): reveal_type(b.x) # N: Revealed type is "Any" else: b.x # E: "B" has no attribute "x" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeFunction] def foo(x: int) -> None: ... if hasattr(foo, "x"): reveal_type(foo.x) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeClassObject] class C: ... if hasattr(C, "x"): reveal_type(C.x) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeTypeType] from typing import Type class C: ... c: Type[C] if hasattr(c, "x"): reveal_type(c.x) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeTypeVar] from typing import TypeVar T = TypeVar("T") def foo(x: T) -> T: if hasattr(x, "x"): reveal_type(x.x) # N: Revealed type is "Any" return x else: return x [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeChained] class B: ... b: B if hasattr(b, "x"): reveal_type(b.x) # N: Revealed type is "Any" elif hasattr(b, "y"): reveal_type(b.y) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeNested] class A: ... class B: ... x: A if hasattr(x, "x"): if isinstance(x, B): reveal_type(x.x) # N: Revealed type is "Any" if hasattr(x, "x") and hasattr(x, "y"): reveal_type(x.x) # N: Revealed type is "Any" reveal_type(x.y) # N: Revealed type is "Any" if hasattr(x, "x"): if hasattr(x, "y"): reveal_type(x.x) # N: Revealed type is "Any" reveal_type(x.y) # N: Revealed type is "Any" if hasattr(x, "x") or hasattr(x, "y"): x.x # E: "A" has no attribute "x" x.y # E: "A" has no attribute "y" [builtins fixtures/isinstance.pyi] [case testHasAttrPreciseType] class A: ... x: A if hasattr(x, "a") and isinstance(x.a, int): reveal_type(x.a) # N: Revealed type is "builtins.int" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeUnion] from typing import Union class A: ... class B: x: int xu: Union[A, B] if hasattr(xu, "x"): reveal_type(xu) # N: Revealed type is "Union[__main__.A, __main__.B]" reveal_type(xu.x) # N: Revealed type is "Union[Any, builtins.int]" else: reveal_type(xu) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeOuterUnion] from typing import Union class A: ... class B: ... xu: Union[A, B] if isinstance(xu, B): if hasattr(xu, "x"): reveal_type(xu.x) # N: Revealed type is "Any" if isinstance(xu, B) and hasattr(xu, "x"): reveal_type(xu.x) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [case testHasAttrDoesntInterfereGetAttr] class C: def __getattr__(self, attr: str) -> str: ... c: C if hasattr(c, "foo"): reveal_type(c.foo) # N: Revealed type is "builtins.str" [builtins fixtures/isinstance.pyi] [case testHasAttrMissingAttributeLiteral] from typing import Final class B: ... b: B ATTR: Final = "x" if hasattr(b, ATTR): reveal_type(b.x) # N: Revealed type is "Any" else: b.x # E: "B" has no attribute "x" [builtins fixtures/isinstance.pyi] [case testHasAttrDeferred] def foo() -> str: ... class Test: def stream(self) -> None: if hasattr(self, "_body"): reveal_type(self._body) # N: Revealed type is "builtins.str" def body(self) -> str: if not hasattr(self, "_body"): self._body = foo() return self._body [builtins fixtures/isinstance.pyi] [case testHasAttrModule] import mod if hasattr(mod, "y"): reveal_type(mod.y) # N: Revealed type is "Any" reveal_type(mod.x) # N: Revealed type is "builtins.int" else: mod.y # E: Module has no attribute "y" reveal_type(mod.x) # N: Revealed type is "builtins.int" if hasattr(mod, "x"): mod.y # E: Module has no attribute "y" reveal_type(mod.x) # N: Revealed type is "builtins.int" else: mod.y # E: Module has no attribute "y" reveal_type(mod.x) # N: Revealed type is "builtins.int" [file mod.py] x: int [builtins fixtures/module.pyi] [case testHasAttrDoesntInterfereModuleGetAttr] import mod if hasattr(mod, "y"): reveal_type(mod.y) # N: Revealed type is "builtins.str" [file mod.py] def __getattr__(attr: str) -> str: ... [builtins fixtures/module.pyi] [case testTypeIsntLostAfterNarrowing] from typing import Any var: Any reveal_type(var) # N: Revealed type is "Any" assert isinstance(var, (bool, str)) reveal_type(var) # N: Revealed type is "Union[builtins.bool, builtins.str]" if isinstance(var, bool): reveal_type(var) # N: Revealed type is "builtins.bool" # Type of var shouldn't fall back to Any reveal_type(var) # N: Revealed type is "Union[builtins.bool, builtins.str]" [builtins fixtures/isinstance.pyi] [case testReuseIntersectionForRepeatedIsinstanceCalls] class A: ... class B: ... a: A if isinstance(a, B): c = a if isinstance(a, B): c = a [builtins fixtures/isinstance.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-kwargs.test0000644000175100017510000004063115112307767020402 0ustar00runnerrunner-- Test cases for keyword arguments. [case testTypeErrorInKeywordArgument] import typing def f(o: object) -> None: pass f(o=None()) # E: "None" not callable [case testSimpleKeywordArgument] import typing class A: pass def f(a: 'A') -> None: pass f(a=A()) f(a=object()) # E: Argument "a" to "f" has incompatible type "object"; expected "A" [case testTwoKeywordArgumentsNotInOrder] import typing class A: pass class B: pass def f(a: 'A', b: 'B') -> None: pass f(b=A(), a=A()) # E: Argument "b" to "f" has incompatible type "A"; expected "B" f(b=B(), a=B()) # E: Argument "a" to "f" has incompatible type "B"; expected "A" f(a=A(), b=B()) f(b=B(), a=A()) [case testOneOfSeveralOptionalKeywordArguments] # flags: --implicit-optional import typing class A: pass class B: pass class C: pass def f(a: 'A' = None, b: 'B' = None, c: 'C' = None) -> None: pass f(a=A()) f(b=B()) f(c=C()) f(b=B(), c=C()) f(a=B()) # E: Argument "a" to "f" has incompatible type "B"; expected "Optional[A]" f(b=A()) # E: Argument "b" to "f" has incompatible type "A"; expected "Optional[B]" f(c=B()) # E: Argument "c" to "f" has incompatible type "B"; expected "Optional[C]" f(b=B(), c=A()) # E: Argument "c" to "f" has incompatible type "A"; expected "Optional[C]" [case testBothPositionalAndKeywordArguments] import typing class A: pass class B: pass def f(a: 'A', b: 'B') -> None: pass f(A(), b=A()) # E: Argument "b" to "f" has incompatible type "A"; expected "B" f(A(), b=B()) [case testContextSensitiveTypeInferenceForKeywordArg] from typing import List class A: pass def f(a: 'A', b: 'List[A]') -> None: pass f(b=[], a=A()) [builtins fixtures/list.pyi] [case testGivingArgumentAsPositionalAndKeywordArg] # flags: --no-strict-optional import typing class A: pass class B: pass def f(a: 'A', b: 'B' = None) -> None: pass f(A(), a=A()) # E: "f" gets multiple values for keyword argument "a" [case testGivingArgumentAsPositionalAndKeywordArg2] # flags: --no-strict-optional import typing class A: pass class B: pass def f(a: 'A' = None, b: 'B' = None) -> None: pass f(A(), a=A()) # E: "f" gets multiple values for keyword argument "a" [case testPositionalAndKeywordForSameArg] # This used to crash in check_argument_count(). See #1095. def f(a: int): pass def g(): f(0, a=1) [out] [case testInvalidKeywordArgument] import typing def f(a: 'A') -> None: pass # N: "f" defined here f(b=object()) # E: Unexpected keyword argument "b" for "f" class A: pass [case testKeywordMisspelling] class A: pass def f(other: 'A') -> None: pass # N: "f" defined here f(otter=A()) # E: Unexpected keyword argument "otter" for "f"; did you mean "other"? [case testMultipleKeywordsForMisspelling] class A: pass class B: pass def f(thing : 'A', other: 'A', atter: 'A', btter: 'B') -> None: pass # N: "f" defined here f(otter=A()) # E: Unexpected keyword argument "otter" for "f"; did you mean "atter" or "other"? [case testKeywordMisspellingDifferentType] class A: pass class B: pass def f(other: 'A') -> None: pass # N: "f" defined here f(otter=B()) # E: Unexpected keyword argument "otter" for "f"; did you mean "other"? [case testKeywordMisspellingInheritance] class A: pass class B(A): pass class C: pass def f(atter: 'A', btter: 'B', ctter: 'C') -> None: pass # N: "f" defined here f(otter=B()) # E: Unexpected keyword argument "otter" for "f"; did you mean "atter" or "btter"? [case testKeywordMisspellingFloatInt] def f(atter: float, btter: int) -> None: pass # N: "f" defined here x: int = 5 f(otter=x) # E: Unexpected keyword argument "otter" for "f"; did you mean "atter" or "btter"? [case testKeywordMisspellingVarArgs] class A: pass def f(other: 'A', *atter: 'A') -> None: pass # N: "f" defined here f(otter=A()) # E: Unexpected keyword argument "otter" for "f"; did you mean "other"? [builtins fixtures/tuple.pyi] [case testKeywordMisspellingOnlyVarArgs] class A: pass def f(*other: 'A') -> None: pass # N: "f" defined here f(otter=A()) # E: Unexpected keyword argument "otter" for "f" [builtins fixtures/tuple.pyi] [case testKeywordMisspellingVarArgsDifferentTypes] class A: pass class B: pass def f(other: 'B', *atter: 'A') -> None: pass # N: "f" defined here f(otter=A()) # E: Unexpected keyword argument "otter" for "f"; did you mean "other"? [builtins fixtures/tuple.pyi] [case testKeywordMisspellingVarKwargs] class A: pass def f(other: 'A', **atter: 'A') -> None: pass f(otter=A()) # E: Missing positional argument "other" in call to "f" [builtins fixtures/dict.pyi] [case testKeywordArgumentsWithDynamicallyTypedCallable] from typing import Any f: Any f(x=f(), z=None()) # E: "None" not callable f(f, zz=None()) # E: "None" not callable f(x=None) [case testKeywordArgumentWithFunctionObject] from typing import Callable class A: pass class B: pass f: Callable[[A, B], None] f(a=A(), b=B()) # E: Unexpected keyword argument "a" # E: Unexpected keyword argument "b" f(A(), b=B()) # E: Unexpected keyword argument "b" [case testKeywordOnlyArguments] # flags: --no-strict-optional import typing class A: pass class B: pass def f(a: 'A', *, b: 'B' = None) -> None: pass def g(a: 'A', *, b: 'B') -> None: pass def h(a: 'A', *, b: 'B', aa: 'A') -> None: pass def i(a: 'A', *, b: 'B', aa: 'A' = None) -> None: pass f(A(), b=B()) f(b=B(), a=A()) f(A()) f(A(), B()) # E: Too many positional arguments for "f" g(A(), b=B()) g(b=B(), a=A()) g(A()) # E: Missing named argument "b" for "g" g(A(), B()) # E: Too many positional arguments for "g" h(A()) # E: Missing named argument "b" for "h" # E: Missing named argument "aa" for "h" h(A(), b=B()) # E: Missing named argument "aa" for "h" h(A(), aa=A()) # E: Missing named argument "b" for "h" h(A(), b=B(), aa=A()) h(A(), aa=A(), b=B()) i(A()) # E: Missing named argument "b" for "i" i(A(), b=B()) i(A(), aa=A()) # E: Missing named argument "b" for "i" i(A(), b=B(), aa=A()) i(A(), aa=A(), b=B()) [case testKeywordOnlyArgumentsFastparse] # flags: --no-strict-optional import typing class A: pass class B: pass def f(a: 'A', *, b: 'B' = None) -> None: pass def g(a: 'A', *, b: 'B') -> None: pass def h(a: 'A', *, b: 'B', aa: 'A') -> None: pass def i(a: 'A', *, b: 'B', aa: 'A' = None) -> None: pass f(A(), b=B()) f(b=B(), a=A()) f(A()) f(A(), B()) # E: Too many positional arguments for "f" g(A(), b=B()) g(b=B(), a=A()) g(A()) # E: Missing named argument "b" for "g" g(A(), B()) # E: Too many positional arguments for "g" h(A()) # E: Missing named argument "b" for "h" # E: Missing named argument "aa" for "h" h(A(), b=B()) # E: Missing named argument "aa" for "h" h(A(), aa=A()) # E: Missing named argument "b" for "h" h(A(), b=B(), aa=A()) h(A(), aa=A(), b=B()) i(A()) # E: Missing named argument "b" for "i" i(A(), b=B()) i(A(), aa=A()) # E: Missing named argument "b" for "i" i(A(), b=B(), aa=A()) i(A(), aa=A(), b=B()) [case testKwargsAfterBareArgs] from typing import Tuple, Any def f(a, *, b=None) -> None: pass a = None # type: Any b = None # type: Any f(a, **b) [builtins fixtures/dict.pyi] [case testKeywordArgAfterVarArgs] # flags: --implicit-optional import typing class A: pass class B: pass def f(*a: 'A', b: 'B' = None) -> None: pass f() f(A()) f(A(), A()) f(b=B()) f(A(), b=B()) f(A(), A(), b=B()) f(B()) # E: Argument 1 to "f" has incompatible type "B"; expected "A" f(A(), B()) # E: Argument 2 to "f" has incompatible type "B"; expected "A" f(b=A()) # E: Argument "b" to "f" has incompatible type "A"; expected "Optional[B]" [builtins fixtures/list.pyi] [case testKeywordArgAfterVarArgsWithBothCallerAndCalleeVarArgs] # flags: --implicit-optional --no-strict-optional from typing import List class A: pass class B: pass def f(*a: 'A', b: 'B' = None) -> None: pass a = None # type: List[A] f(*a) f(A(), *a) f(b=B()) f(*a, b=B()) f(A(), *a, b=B()) f(A(), B()) # E: Argument 2 to "f" has incompatible type "B"; expected "A" f(A(), b=A()) # E: Argument "b" to "f" has incompatible type "A"; expected "Optional[B]" f(*a, b=A()) # E: Argument "b" to "f" has incompatible type "A"; expected "Optional[B]" [builtins fixtures/list.pyi] [case testCallingDynamicallyTypedFunctionWithKeywordArgs] import typing class A: pass def f(x, y=A()): pass # N: "f" defined here f(x=A(), y=A()) f(y=A(), x=A()) f(y=A()) # E: Missing positional argument "x" in call to "f" f(A(), z=A()) # E: Unexpected keyword argument "z" for "f" [case testKwargsArgumentInFunctionBody] from typing import Dict, Any def f( **kwargs: 'A') -> None: d1 = kwargs # type: Dict[str, A] d2 = kwargs # type: Dict[A, Any] # E: Incompatible types in assignment (expression has type "dict[str, A]", variable has type "dict[A, Any]") d3 = kwargs # type: Dict[Any, str] # E: Incompatible types in assignment (expression has type "dict[str, A]", variable has type "dict[Any, str]") class A: pass [builtins fixtures/dict.pyi] [out] [case testKwargsArgumentInFunctionBodyWithImplicitAny] from typing import Dict, Any def f(**kwargs) -> None: d1 = kwargs # type: Dict[str, A] d2 = kwargs # type: Dict[str, str] d3 = kwargs # type: Dict[A, Any] # E: Incompatible types in assignment (expression has type "dict[str, Any]", variable has type "dict[A, Any]") class A: pass [builtins fixtures/dict.pyi] [out] [case testCallingFunctionThatAcceptsVarKwargs] import typing class A: pass class B: pass def f( **kwargs: 'A') -> None: pass f() f(x=A()) f(y=A(), z=A()) f(x=B()) # E: Argument "x" to "f" has incompatible type "B"; expected "A" f(A()) # E: Too many arguments for "f" # Perhaps a better message would be "Too many *positional* arguments..." [builtins fixtures/dict.pyi] [case testCallingFunctionWithKeywordVarArgs] from typing import Dict class A: pass class B: pass def f( **kwargs: 'A') -> None: pass d: Dict[str, A] f(**d) f(x=A(), **d) d2: Dict[str, B] f(**d2) # E: Argument 1 to "f" has incompatible type "**dict[str, B]"; expected "A" f(x=A(), **d2) # E: Argument 2 to "f" has incompatible type "**dict[str, B]"; expected "A" f(**{'x': B()}) # E: Argument 1 to "f" has incompatible type "**dict[str, B]"; expected "A" [builtins fixtures/dict.pyi] [case testKwargsAllowedInDunderCall] class Formatter: def __call__(self, message: str, bold: bool = False) -> str: pass formatter = Formatter() formatter("test", bold=True) reveal_type(formatter.__call__) # N: Revealed type is "def (message: builtins.str, bold: builtins.bool =) -> builtins.str" [builtins fixtures/bool.pyi] [out] [case testKwargsAllowedInDunderCallKwOnly] class Formatter: def __call__(self, message: str, *, bold: bool = False) -> str: pass formatter = Formatter() formatter("test", bold=True) reveal_type(formatter.__call__) # N: Revealed type is "def (message: builtins.str, *, bold: builtins.bool =) -> builtins.str" [builtins fixtures/bool.pyi] [out] [case testPassingMappingForKeywordVarArg] from typing import Mapping def f(**kwargs: 'A') -> None: pass b: Mapping d: Mapping[A, A] m: Mapping[str, A] f(**d) # E: Keywords must be strings f(**m) f(**b) class A: pass [builtins fixtures/dict.pyi] [case testPassingMappingSubclassForKeywordVarArg] from typing import Mapping class MappingSubclass(Mapping[str, str]): pass def f(**kwargs: 'A') -> None: pass d: MappingSubclass f(**d) # E: Argument 1 to "f" has incompatible type "**MappingSubclass"; expected "A" class A: pass [builtins fixtures/dict.pyi] [case testInvalidTypeForKeywordVarArg] from typing import Dict, Any, Optional class A: pass def f(**kwargs: 'A') -> None: pass d = {} # type: Dict[A, A] f(**d) # E: Keywords must be strings f(**A()) # E: Argument after ** must be a mapping, not "A" kwargs: Optional[Any] f(**kwargs) # E: Argument after ** must be a mapping, not "Optional[Any]" def g(a: int) -> None: pass g(a=1, **4) # E: Argument after ** must be a mapping, not "int" [builtins fixtures/dict.pyi] [case testPassingKeywordVarArgsToNonVarArgsFunction] from typing import Any, Dict def f(a: 'A', b: 'B') -> None: pass d: Dict[str, Any] f(**d) d2: Dict[str, A] f(**d2) # E: Argument 1 to "f" has incompatible type "**dict[str, A]"; expected "B" class A: pass class B: pass [builtins fixtures/dict.pyi] [case testBothKindsOfVarArgs] from typing import Any, List, Dict def f(a: 'A', b: 'A') -> None: pass l: List[Any] d: Dict[Any, Any] f(*l, **d) class A: pass [builtins fixtures/dict.pyi] [case testPassingMultipleKeywordVarArgs] from typing import Any, Dict def f1(a: 'A', b: 'A') -> None: pass def f2(a: 'A') -> None: pass def f3(a: 'A', **kwargs: 'A') -> None: pass def f4(**kwargs: 'A') -> None: pass d: Dict[Any, Any] d2: Dict[Any, Any] f1(**d, **d2) f2(**d, **d2) f3(**d, **d2) f4(**d, **d2) class A: pass [builtins fixtures/dict.pyi] [case testPassingKeywordVarArgsToVarArgsOnlyFunction] from typing import Any, Dict def f(*args: 'A') -> None: pass d: Dict[Any, Any] f(**d) class A: pass [builtins fixtures/dict.pyi] [case testKeywordArgumentAndCommentSignature] import typing def f(x): # type: (int) -> str # N: "f" defined here pass f(x='') # E: Argument "x" to "f" has incompatible type "str"; expected "int" f(x=0) f(y=0) # E: Unexpected keyword argument "y" for "f" [case testKeywordArgumentAndCommentSignature2] import typing class A: def f(self, x): # type: (int) -> str # N: "f" of "A" defined here pass A().f(x='') # E: Argument "x" to "f" of "A" has incompatible type "str"; expected "int" A().f(x=0) A().f(y=0) # E: Unexpected keyword argument "y" for "f" of "A" [case testKeywordVarArgsAndCommentSignature] import typing def f(**kwargs): # type: (**int) -> None pass f(z=1) f(x=1, y=1) f(x='', y=1) # E: Argument "x" to "f" has incompatible type "str"; expected "int" f(x=1, y='') # E: Argument "y" to "f" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [case testCallsWithStars] def f(a: int) -> None: pass s = ('',) f(*s) # E: Argument 1 to "f" has incompatible type "*tuple[str]"; expected "int" a = {'': 0} f(a) # E: Argument 1 to "f" has incompatible type "dict[str, int]"; expected "int" f(**a) # okay b = {'': ''} f(b) # E: Argument 1 to "f" has incompatible type "dict[str, str]"; expected "int" f(**b) # E: Argument 1 to "f" has incompatible type "**dict[str, str]"; expected "int" c = {0: 0} f(**c) # E: Keywords must be strings [builtins fixtures/dict.pyi] [case testCallStar2WithStar] def f(**k): pass f(*(1, 2)) # E: Too many arguments for "f" [builtins fixtures/dict.pyi] [case testUnexpectedMethodKwargInNestedClass] class A: class B: def __init__(self) -> None: # N: "B" defined here pass A.B(x=1) # E: Unexpected keyword argument "x" for "B" [case testUnexpectedMethodKwargFromOtherModule] import m m.A(x=1) [file m.py] 1+'asdf' class A: def __init__(self) -> None: pass [out] -- Note that the messages appear "out of order" because the m.py:3 -- message is really an attachment to the main:2 error and should be -- reported with it. tmp/m.py:1: error: Unsupported operand types for + ("int" and "str") main:2: error: Unexpected keyword argument "x" for "A" tmp/m.py:3: note: "A" defined here [case testStarArgsAndKwArgsSpecialCase] from typing import Dict, Mapping def f(*vargs: int, **kwargs: object) -> None: pass def g(arg: int = 0, **kwargs: object) -> None: pass d = {} # type: Dict[str, object] f(**d) g(**d) # E: Argument 1 to "g" has incompatible type "**dict[str, object]"; expected "int" m = {} # type: Mapping[str, object] f(**m) g(**m) # E: Argument 1 to "g" has incompatible type "**Mapping[str, object]"; expected "int" [builtins fixtures/dict.pyi] [case testPassingEmptyDictWithStars] def f(): pass def g(x=1): pass f(**{}) g(**{}) [builtins fixtures/dict.pyi] [case testKeywordUnpackWithDifferentTypes] # https://github.com/python/mypy/issues/11144 from typing import Dict, Generic, TypeVar, Mapping, Iterable T = TypeVar("T") T2 = TypeVar("T2") class A(Dict[T, T2]): ... class B(Mapping[T, T2]): ... class C(Generic[T, T2]): ... class D: ... class E: def keys(self) -> Iterable[str]: ... def __getitem__(self, key: str) -> float: ... def foo(**i: float) -> float: ... a: A[str, str] b: B[str, str] c: C[str, float] d: D e: E f = {"a": "b"} foo(k=1.5) foo(**a) foo(**b) foo(**c) foo(**d) foo(**e) foo(**f) # Correct: class Good(Mapping[str, float]): ... good1: Good good2: A[str, float] good3: B[str, float] foo(**good1) foo(**good2) foo(**good3) [out] main:36: error: Argument 1 to "foo" has incompatible type "**A[str, str]"; expected "float" main:37: error: Argument 1 to "foo" has incompatible type "**B[str, str]"; expected "float" main:38: error: Argument after ** must be a mapping, not "C[str, float]" main:39: error: Argument after ** must be a mapping, not "D" main:41: error: Argument 1 to "foo" has incompatible type "**dict[str, str]"; expected "float" [builtins fixtures/dict.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-lists.test0000644000175100017510000000456615112307767020251 0ustar00runnerrunner-- Nested list assignment -- ----------------------------- [case testNestedListAssignment] from typing import List a1: A a2: A b1: B b2: B c1: C c2: C if int(): a1, [b1, c1] = a2, [b2, c2] if int(): a1, [a1, [b1, c1]] = a2, [a2, [b2, c2]] if int(): a1, [a1, [a1, b1]] = a1, [a1, [a1, c1]] # E: Incompatible types in assignment (expression has type "C", variable has type "B") class A: pass class B: pass class C: pass [builtins fixtures/list.pyi] [out] [case testNestedListAssignmentToTuple] from typing import List a: A b: B c: C a, b = [a, b] a, b = [a] # E: Need more than 1 value to unpack (2 expected) a, b = [a, b, c] # E: Too many values to unpack (2 expected, 3 provided) class A: pass class B: pass class C: pass [builtins fixtures/list.pyi] [out] [case testListAssignmentFromTuple] from typing import List a: A b: B c: C t = a, b if int(): [a, b], c = t, c if int(): [a, c], c = t, c # E: Incompatible types in assignment (expression has type "B", variable has type "C") if int(): [a, a, a], c = t, c # E: Need more than 2 values to unpack (3 expected) if int(): [a], c = t, c # E: Too many values to unpack (1 expected, 2 provided) class A: pass class B: pass class C: pass [builtins fixtures/list.pyi] [out] [case testListAssignmentUnequalAmountToUnpack] from typing import List a: A b: B c: C def f() -> None: # needed because test parser tries to parse [a, b] as section header [a, b] = [a, b] [a, b] = [a] # E: Need more than 1 value to unpack (2 expected) [a, b] = [a, b, c] # E: Too many values to unpack (2 expected, 3 provided) class A: pass class B: pass class C: pass [builtins fixtures/list.pyi] [out] [case testListWithStarExpr] (x, *a) = [1, 2, 3] a = [1, *[2, 3]] reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" b = [0, *a] reveal_type(b) # N: Revealed type is "builtins.list[builtins.int]" c = [*a, 0] reveal_type(c) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testComprehensionShadowBinder] def foo(x: object) -> None: if isinstance(x, str): [reveal_type(x) for x in [1, 2, 3]] # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [case testUnpackAssignmentWithStarExpr] a: A b: list[B] if int(): (a,) = [*b] # E: Incompatible types in assignment (expression has type "B", variable has type "A") class A: pass class B: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-literal.test0000644000175100017510000032327715112307767020552 0ustar00runnerrunner-- -- Check to see how we handle raw types, error handling, and other -- semantic analysis shenanigans -- [case testLiteralInvalidString] from typing import Literal def f1(x: 'A[') -> None: pass # E: Invalid type comment or annotation def g1(x: Literal['A[']) -> None: pass reveal_type(f1) # N: Revealed type is "def (x: Any)" reveal_type(g1) # N: Revealed type is "def (x: Literal['A['])" def f2(x: 'A B') -> None: pass # E: Invalid type comment or annotation def g2(x: Literal['A B']) -> None: pass def h2(x: 'A|int') -> None: pass # E: Name "A" is not defined def i2(x: Literal['A|B']) -> None: pass reveal_type(f2) # N: Revealed type is "def (x: Any)" reveal_type(g2) # N: Revealed type is "def (x: Literal['A B'])" reveal_type(h2) # N: Revealed type is "def (x: Union[Any, builtins.int])" reveal_type(i2) # N: Revealed type is "def (x: Literal['A|B'])" [builtins fixtures/tuple.pyi] [out] [case testLiteralInvalidTypeComment] from typing import Literal def f(x): # E: Syntax error in type comment "(A[) -> None" # type: (A[) -> None pass [case testLiteralInvalidTypeComment2] from typing import Literal def f(x): # E: Invalid type comment or annotation # type: ("A[") -> None pass def g(x): # type: (Literal["A["]) -> None pass reveal_type(f) # N: Revealed type is "def (x: Any)" reveal_type(g) # N: Revealed type is "def (x: Literal['A['])" [builtins fixtures/tuple.pyi] [out] [case testLiteralFromTypingWorks] from typing import Literal x: Literal[42] x = 43 # E: Incompatible types in assignment (expression has type "Literal[43]", variable has type "Literal[42]") y: Literal[43] y = 43 [typing fixtures/typing-medium.pyi] [case testLiteralFromTypingExtensionsWorks] from typing_extensions import Literal x: Literal[42] x = 43 # E: Incompatible types in assignment (expression has type "Literal[43]", variable has type "Literal[42]") y: Literal[43] y = 43 [builtins fixtures/tuple.pyi] [case testLiteralInsideOtherTypes] from typing import Literal, Tuple x: Tuple[1] # E: Invalid type: try using Literal[1] instead? def foo(x: Tuple[1]) -> None: ... # E: Invalid type: try using Literal[1] instead? y: Tuple[Literal[2]] def bar(x: Tuple[Literal[2]]) -> None: ... reveal_type(x) # N: Revealed type is "tuple[Any]" reveal_type(y) # N: Revealed type is "tuple[Literal[2]]" reveal_type(bar) # N: Revealed type is "def (x: tuple[Literal[2]])" [builtins fixtures/tuple.pyi] [out] [case testLiteralInsideOtherTypesTypeCommentsPython3] from typing import Literal, Tuple, Optional x = None # type: Optional[Tuple[1]] # E: Invalid type: try using Literal[1] instead? def foo(x): # E: Invalid type: try using Literal[1] instead? # type: (Tuple[1]) -> None pass y = None # type: Optional[Tuple[Literal[2]]] def bar(x): # type: (Tuple[Literal[2]]) -> None pass reveal_type(x) # N: Revealed type is "Union[tuple[Any], None]" reveal_type(y) # N: Revealed type is "Union[tuple[Literal[2]], None]" reveal_type(bar) # N: Revealed type is "def (x: tuple[Literal[2]])" [builtins fixtures/tuple.pyi] [out] [case testLiteralValidExpressionsInStringsPython3] from wrapper import * [file wrapper.pyi] from typing import Literal alias_1 = Literal['a+b'] alias_2 = Literal['1+2'] alias_3 = Literal['3'] alias_4 = Literal['True'] alias_5 = Literal['None'] alias_6 = Literal['"foo"'] expr_of_alias_1: alias_1 expr_of_alias_2: alias_2 expr_of_alias_3: alias_3 expr_of_alias_4: alias_4 expr_of_alias_5: alias_5 expr_of_alias_6: alias_6 reveal_type(expr_of_alias_1) # N: Revealed type is "Literal['a+b']" reveal_type(expr_of_alias_2) # N: Revealed type is "Literal['1+2']" reveal_type(expr_of_alias_3) # N: Revealed type is "Literal['3']" reveal_type(expr_of_alias_4) # N: Revealed type is "Literal['True']" reveal_type(expr_of_alias_5) # N: Revealed type is "Literal['None']" reveal_type(expr_of_alias_6) # N: Revealed type is "Literal['"foo"']" expr_ann_1: Literal['a+b'] expr_ann_2: Literal['1+2'] expr_ann_3: Literal['3'] expr_ann_4: Literal['True'] expr_ann_5: Literal['None'] expr_ann_6: Literal['"foo"'] reveal_type(expr_ann_1) # N: Revealed type is "Literal['a+b']" reveal_type(expr_ann_2) # N: Revealed type is "Literal['1+2']" reveal_type(expr_ann_3) # N: Revealed type is "Literal['3']" reveal_type(expr_ann_4) # N: Revealed type is "Literal['True']" reveal_type(expr_ann_5) # N: Revealed type is "Literal['None']" reveal_type(expr_ann_6) # N: Revealed type is "Literal['"foo"']" expr_str_1: "Literal['a+b']" expr_str_2: "Literal['1+2']" expr_str_3: "Literal['3']" expr_str_4: "Literal['True']" expr_str_5: "Literal['None']" expr_str_6: "Literal['\"foo\"']" reveal_type(expr_str_1) # N: Revealed type is "Literal['a+b']" reveal_type(expr_str_2) # N: Revealed type is "Literal['1+2']" reveal_type(expr_str_3) # N: Revealed type is "Literal['3']" reveal_type(expr_str_4) # N: Revealed type is "Literal['True']" reveal_type(expr_str_5) # N: Revealed type is "Literal['None']" reveal_type(expr_str_6) # N: Revealed type is "Literal['"foo"']" expr_com_1 = ... # type: Literal['a+b'] expr_com_2 = ... # type: Literal['1+2'] expr_com_3 = ... # type: Literal['3'] expr_com_4 = ... # type: Literal['True'] expr_com_5 = ... # type: Literal['None'] expr_com_6 = ... # type: Literal['"foo"'] reveal_type(expr_com_1) # N: Revealed type is "Literal['a+b']" reveal_type(expr_com_2) # N: Revealed type is "Literal['1+2']" reveal_type(expr_com_3) # N: Revealed type is "Literal['3']" reveal_type(expr_com_4) # N: Revealed type is "Literal['True']" reveal_type(expr_com_5) # N: Revealed type is "Literal['None']" reveal_type(expr_com_6) # N: Revealed type is "Literal['"foo"']" [builtins fixtures/bool.pyi] [out] [case testLiteralMixingUnicodeAndBytesPython3] from typing import Literal a_ann: Literal[u"foo"] b_ann: Literal["foo"] c_ann: Literal[b"foo"] a_hint = u"foo" # type: Literal[u"foo"] b_hint = "foo" # type: Literal["foo"] c_hint = b"foo" # type: Literal[b"foo"] AAlias = Literal[u"foo"] BAlias = Literal["foo"] CAlias = Literal[b"foo"] a_alias: AAlias b_alias: BAlias c_alias: CAlias def accepts_str_1(x: Literal[u"foo"]) -> None: pass def accepts_str_2(x: Literal["foo"]) -> None: pass def accepts_bytes(x: Literal[b"foo"]) -> None: pass reveal_type(a_ann) # N: Revealed type is "Literal['foo']" reveal_type(b_ann) # N: Revealed type is "Literal['foo']" reveal_type(c_ann) # N: Revealed type is "Literal[b'foo']" reveal_type(a_hint) # N: Revealed type is "Literal['foo']" reveal_type(b_hint) # N: Revealed type is "Literal['foo']" reveal_type(c_hint) # N: Revealed type is "Literal[b'foo']" reveal_type(a_alias) # N: Revealed type is "Literal['foo']" reveal_type(b_alias) # N: Revealed type is "Literal['foo']" reveal_type(c_alias) # N: Revealed type is "Literal[b'foo']" accepts_str_1(a_ann) accepts_str_1(b_ann) accepts_str_1(c_ann) # E: Argument 1 to "accepts_str_1" has incompatible type "Literal[b'foo']"; expected "Literal['foo']" accepts_str_1(a_hint) accepts_str_1(b_hint) accepts_str_1(c_hint) # E: Argument 1 to "accepts_str_1" has incompatible type "Literal[b'foo']"; expected "Literal['foo']" accepts_str_1(a_alias) accepts_str_1(b_alias) accepts_str_1(c_alias) # E: Argument 1 to "accepts_str_1" has incompatible type "Literal[b'foo']"; expected "Literal['foo']" accepts_str_2(a_ann) accepts_str_2(b_ann) accepts_str_2(c_ann) # E: Argument 1 to "accepts_str_2" has incompatible type "Literal[b'foo']"; expected "Literal['foo']" accepts_str_2(a_hint) accepts_str_2(b_hint) accepts_str_2(c_hint) # E: Argument 1 to "accepts_str_2" has incompatible type "Literal[b'foo']"; expected "Literal['foo']" accepts_str_2(a_alias) accepts_str_2(b_alias) accepts_str_2(c_alias) # E: Argument 1 to "accepts_str_2" has incompatible type "Literal[b'foo']"; expected "Literal['foo']" accepts_bytes(a_ann) # E: Argument 1 to "accepts_bytes" has incompatible type "Literal['foo']"; expected "Literal[b'foo']" accepts_bytes(b_ann) # E: Argument 1 to "accepts_bytes" has incompatible type "Literal['foo']"; expected "Literal[b'foo']" accepts_bytes(c_ann) accepts_bytes(a_hint) # E: Argument 1 to "accepts_bytes" has incompatible type "Literal['foo']"; expected "Literal[b'foo']" accepts_bytes(b_hint) # E: Argument 1 to "accepts_bytes" has incompatible type "Literal['foo']"; expected "Literal[b'foo']" accepts_bytes(c_hint) accepts_bytes(a_alias) # E: Argument 1 to "accepts_bytes" has incompatible type "Literal['foo']"; expected "Literal[b'foo']" accepts_bytes(b_alias) # E: Argument 1 to "accepts_bytes" has incompatible type "Literal['foo']"; expected "Literal[b'foo']" accepts_bytes(c_alias) [builtins fixtures/tuple.pyi] [out] [case testLiteralMixingUnicodeAndBytesPython3ForwardStrings] from typing import Literal, TypeVar, Generic a_unicode_wrapper: u"Literal[u'foo']" b_unicode_wrapper: u"Literal['foo']" c_unicode_wrapper: u"Literal[b'foo']" a_str_wrapper: "Literal[u'foo']" b_str_wrapper: "Literal['foo']" c_str_wrapper: "Literal[b'foo']" # In Python 3, forward references MUST be str, not bytes a_bytes_wrapper: b"Literal[u'foo']" # E: Invalid type comment or annotation b_bytes_wrapper: b"Literal['foo']" # E: Invalid type comment or annotation c_bytes_wrapper: b"Literal[b'foo']" # E: Invalid type comment or annotation reveal_type(a_unicode_wrapper) # N: Revealed type is "Literal['foo']" reveal_type(b_unicode_wrapper) # N: Revealed type is "Literal['foo']" reveal_type(c_unicode_wrapper) # N: Revealed type is "Literal[b'foo']" reveal_type(a_str_wrapper) # N: Revealed type is "Literal['foo']" reveal_type(b_str_wrapper) # N: Revealed type is "Literal['foo']" reveal_type(c_str_wrapper) # N: Revealed type is "Literal[b'foo']" T = TypeVar('T') class Wrap(Generic[T]): pass AUnicodeWrapperAlias = Wrap[u"Literal[u'foo']"] BUnicodeWrapperAlias = Wrap[u"Literal['foo']"] CUnicodeWrapperAlias = Wrap[u"Literal[b'foo']"] a_unicode_wrapper_alias: AUnicodeWrapperAlias b_unicode_wrapper_alias: BUnicodeWrapperAlias c_unicode_wrapper_alias: CUnicodeWrapperAlias AStrWrapperAlias = Wrap["Literal[u'foo']"] BStrWrapperAlias = Wrap["Literal['foo']"] CStrWrapperAlias = Wrap["Literal[b'foo']"] a_str_wrapper_alias: AStrWrapperAlias b_str_wrapper_alias: BStrWrapperAlias c_str_wrapper_alias: CStrWrapperAlias ABytesWrapperAlias = Wrap[b"Literal[u'foo']"] BBytesWrapperAlias = Wrap[b"Literal['foo']"] CBytesWrapperAlias = Wrap[b"Literal[b'foo']"] a_bytes_wrapper_alias: ABytesWrapperAlias b_bytes_wrapper_alias: BBytesWrapperAlias c_bytes_wrapper_alias: CBytesWrapperAlias # In Python 3, we assume that Literal['foo'] and Literal[u'foo'] are always # equivalent, no matter what. reveal_type(a_unicode_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal['foo']]" reveal_type(b_unicode_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal['foo']]" reveal_type(c_unicode_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal[b'foo']]" reveal_type(a_str_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal['foo']]" reveal_type(b_str_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal['foo']]" reveal_type(c_str_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal[b'foo']]" reveal_type(a_bytes_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal['foo']]" reveal_type(b_bytes_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal['foo']]" reveal_type(c_bytes_wrapper_alias) # N: Revealed type is "__main__.Wrap[Literal[b'foo']]" [builtins fixtures/tuple.pyi] [out] [case testLiteralUnicodeWeirdCharacters-skip_path_normalization] from typing import Any, Literal a1: Literal["\x00\xAC\x62 \u2227 \u03bb(p)"] b1: Literal["\x00¬b ∧ λ(p)"] c1: Literal["¬b ∧ λ(p)"] d1: Literal["\U0001F600"] e1: Literal["😀"] Alias1 = Literal["\x00\xAC\x62 \u2227 \u03bb(p)"] Alias2 = Literal["\x00¬b ∧ λ(p)"] Alias3 = Literal["¬b ∧ λ(p)"] Alias4 = Literal["\U0001F600"] Alias5 = Literal["😀"] a2: Alias1 b2: Alias2 c2: Alias3 d2: Alias4 e2: Alias5 blah: Any a3 = blah # type: Literal["\x00\xAC\x62 \u2227 \u03bb(p)"] b3 = blah # type: Literal["\x00¬b ∧ λ(p)"] c3 = blah # type: Literal["¬b ∧ λ(p)"] d3 = blah # type: Literal["\U0001F600"] e3 = blah # type: Literal["😀"] reveal_type(a1) # N: Revealed type is "Literal['\x00¬b ∧ λ(p)']" reveal_type(b1) # N: Revealed type is "Literal['\x00¬b ∧ λ(p)']" reveal_type(c1) # N: Revealed type is "Literal['¬b ∧ λ(p)']" reveal_type(d1) # N: Revealed type is "Literal['😀']" reveal_type(e1) # N: Revealed type is "Literal['😀']" reveal_type(a2) # N: Revealed type is "Literal['\x00¬b ∧ λ(p)']" reveal_type(b2) # N: Revealed type is "Literal['\x00¬b ∧ λ(p)']" reveal_type(c2) # N: Revealed type is "Literal['¬b ∧ λ(p)']" reveal_type(d2) # N: Revealed type is "Literal['😀']" reveal_type(e2) # N: Revealed type is "Literal['😀']" reveal_type(a3) # N: Revealed type is "Literal['\x00¬b ∧ λ(p)']" reveal_type(b3) # N: Revealed type is "Literal['\x00¬b ∧ λ(p)']" reveal_type(c3) # N: Revealed type is "Literal['¬b ∧ λ(p)']" reveal_type(d3) # N: Revealed type is "Literal['😀']" reveal_type(e3) # N: Revealed type is "Literal['😀']" a1 = b1 a1 = c1 # E: Incompatible types in assignment (expression has type "Literal['¬b ∧ λ(p)']", variable has type "Literal['\x00¬b ∧ λ(p)']") a1 = a2 a1 = b2 a1 = c2 # E: Incompatible types in assignment (expression has type "Literal['¬b ∧ λ(p)']", variable has type "Literal['\x00¬b ∧ λ(p)']") a1 = a3 a1 = b3 a1 = c3 # E: Incompatible types in assignment (expression has type "Literal['¬b ∧ λ(p)']", variable has type "Literal['\x00¬b ∧ λ(p)']") [builtins fixtures/tuple.pyi] [out] [case testLiteralRenamingImportWorks] from typing import Literal as Foo x: Foo[3] reveal_type(x) # N: Revealed type is "Literal[3]" y: Foo["hello"] reveal_type(y) # N: Revealed type is "Literal['hello']" [builtins fixtures/tuple.pyi] [out] [case testLiteralRenamingImportViaAnotherImportWorks] from other_module import Foo, Bar x: Foo[3] y: Bar reveal_type(x) # N: Revealed type is "Literal[3]" reveal_type(y) # N: Revealed type is "Literal[4]" [file other_module.py] from typing import Literal as Foo Bar = Foo[4] [builtins fixtures/tuple.pyi] [out] [case testLiteralRenamingImportNameConfusion] from typing import Literal as Foo x: Foo["Foo"] reveal_type(x) # N: Revealed type is "Literal['Foo']" y: Foo[Foo] # E: Literal[...] must have at least one parameter [builtins fixtures/tuple.pyi] [out] [case testLiteralBadRawExpressionWithBadType] NotAType = 3 def f() -> NotAType['also' + 'not' + 'a' + 'type']: ... # E: Variable "__main__.NotAType" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases \ # E: Invalid type comment or annotation # Note: this makes us re-inspect the type (e.g. via '_patch_indirect_dependencies' # in build.py) so we can confirm the RawExpressionType did not leak out. indirect = f() [out] -- -- Check to make sure we can construct the correct range of literal -- types (and correctly reject invalid literal types) -- -- Note: the assignment tests exercise the logic in 'fastparse.py'; -- the type alias tests exercise the logic in 'exprtotype.py'. -- [case testLiteralBasicIntUsage] from typing import Literal a1: Literal[4] b1: Literal[0x2a] c1: Literal[-300] d1: Literal[+8] reveal_type(a1) # N: Revealed type is "Literal[4]" reveal_type(b1) # N: Revealed type is "Literal[42]" reveal_type(c1) # N: Revealed type is "Literal[-300]" reveal_type(d1) # N: Revealed type is "Literal[8]" a2t = Literal[4] b2t = Literal[0x2a] c2t = Literal[-300] d2t = Literal[+8] a2: a2t b2: b2t c2: c2t d2: d2t reveal_type(a2) # N: Revealed type is "Literal[4]" reveal_type(b2) # N: Revealed type is "Literal[42]" reveal_type(c2) # N: Revealed type is "Literal[-300]" reveal_type(d2) # N: Revealed type is "Literal[8]" def f1(x: Literal[4]) -> Literal[4]: pass def f2(x: Literal[0x2a]) -> Literal[0x2a]: pass def f3(x: Literal[-300]) -> Literal[-300]: pass def f4(x: Literal[+8]) -> Literal[+8]: pass reveal_type(f1) # N: Revealed type is "def (x: Literal[4]) -> Literal[4]" reveal_type(f2) # N: Revealed type is "def (x: Literal[42]) -> Literal[42]" reveal_type(f3) # N: Revealed type is "def (x: Literal[-300]) -> Literal[-300]" reveal_type(f4) # N: Revealed type is "def (x: Literal[8]) -> Literal[8]" [builtins fixtures/tuple.pyi] [out] [case testLiteralBasicBoolUsage] from typing import Literal a1: Literal[True] b1: Literal[False] reveal_type(a1) # N: Revealed type is "Literal[True]" reveal_type(b1) # N: Revealed type is "Literal[False]" a2t = Literal[True] b2t = Literal[False] a2: a2t b2: b2t reveal_type(a2) # N: Revealed type is "Literal[True]" reveal_type(b2) # N: Revealed type is "Literal[False]" def f1(x: Literal[True]) -> Literal[True]: pass def f2(x: Literal[False]) -> Literal[False]: pass reveal_type(f1) # N: Revealed type is "def (x: Literal[True]) -> Literal[True]" reveal_type(f2) # N: Revealed type is "def (x: Literal[False]) -> Literal[False]" [builtins fixtures/bool.pyi] [out] [case testLiteralBasicStrUsage] from typing import Literal a: Literal[""] b: Literal[" foo bar "] c: Literal[' foo bar '] d: Literal["foo"] e: Literal['foo'] reveal_type(a) # N: Revealed type is "Literal['']" reveal_type(b) # N: Revealed type is "Literal[' foo bar ']" reveal_type(c) # N: Revealed type is "Literal[' foo bar ']" reveal_type(d) # N: Revealed type is "Literal['foo']" reveal_type(e) # N: Revealed type is "Literal['foo']" def f1(x: Literal[""]) -> Literal[""]: pass def f2(x: Literal[" foo bar "]) -> Literal[" foo bar "]: pass def f3(x: Literal[' foo bar ']) -> Literal[' foo bar ']: pass def f4(x: Literal["foo"]) -> Literal["foo"]: pass def f5(x: Literal['foo']) -> Literal['foo']: pass reveal_type(f1) # N: Revealed type is "def (x: Literal['']) -> Literal['']" reveal_type(f2) # N: Revealed type is "def (x: Literal[' foo bar ']) -> Literal[' foo bar ']" reveal_type(f3) # N: Revealed type is "def (x: Literal[' foo bar ']) -> Literal[' foo bar ']" reveal_type(f4) # N: Revealed type is "def (x: Literal['foo']) -> Literal['foo']" reveal_type(f5) # N: Revealed type is "def (x: Literal['foo']) -> Literal['foo']" [builtins fixtures/tuple.pyi] [out] [case testLiteralBasicStrUsageSlashes-skip_path_normalization] from typing import Literal a: Literal[r"foo\nbar"] b: Literal["foo\nbar"] reveal_type(a) reveal_type(b) [builtins fixtures/tuple.pyi] [out] main:6: note: Revealed type is "Literal['foo\\nbar']" main:7: note: Revealed type is "Literal['foo\nbar']" [case testLiteralBasicNoneUsage] # Note: Literal[None] and None are equivalent from typing import Literal a: Literal[None] reveal_type(a) # N: Revealed type is "None" def f1(x: Literal[None]) -> None: pass def f2(x: None) -> Literal[None]: pass def f3(x: Literal[None]) -> Literal[None]: pass reveal_type(f1) # N: Revealed type is "def (x: None)" reveal_type(f2) # N: Revealed type is "def (x: None)" reveal_type(f3) # N: Revealed type is "def (x: None)" [builtins fixtures/tuple.pyi] [out] [case testLiteralCallingUnionFunction] from typing import Literal def func(x: Literal['foo', 'bar', ' foo ']) -> None: ... func('foo') func('bar') func(' foo ') func('baz') # E: Argument 1 to "func" has incompatible type "Literal['baz']"; expected "Literal['foo', 'bar', ' foo ']" a: Literal['foo'] b: Literal['bar'] c: Literal[' foo '] d: Literal['foo', 'bar'] e: Literal['foo', 'bar', ' foo '] f: Literal['foo', 'bar', 'baz'] func(a) func(b) func(c) func(d) func(e) func(f) # E: Argument 1 to "func" has incompatible type "Literal['foo', 'bar', 'baz']"; expected "Literal['foo', 'bar', ' foo ']" [builtins fixtures/tuple.pyi] [out] [case testLiteralDisallowAny] from typing import Any, Literal from missing_module import BadAlias # E: Cannot find implementation or library stub for module named "missing_module" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports a: Literal[Any] # E: Parameter 1 of Literal[...] cannot be of type "Any" b: Literal[BadAlias] # E: Parameter 1 of Literal[...] cannot be of type "Any" reveal_type(a) # N: Revealed type is "Any" reveal_type(b) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [out] [case testLiteralDisallowActualTypes] from typing import Literal a: Literal[int] # E: Parameter 1 of Literal[...] is invalid b: Literal[float] # E: Parameter 1 of Literal[...] is invalid c: Literal[bool] # E: Parameter 1 of Literal[...] is invalid d: Literal[str] # E: Parameter 1 of Literal[...] is invalid reveal_type(a) # N: Revealed type is "Any" reveal_type(b) # N: Revealed type is "Any" reveal_type(c) # N: Revealed type is "Any" reveal_type(d) # N: Revealed type is "Any" [builtins fixtures/primitives.pyi] [out] [case testLiteralDisallowFloatsAndComplex] from typing import Literal a1: Literal[3.14] # E: Parameter 1 of Literal[...] cannot be of type "float" b1: 3.14 # E: Invalid type: float literals cannot be used as a type c1: Literal[3j] # E: Parameter 1 of Literal[...] cannot be of type "complex" d1: 3j # E: Invalid type: complex literals cannot be used as a type a2t = Literal[3.14] # E: Parameter 1 of Literal[...] cannot be of type "float" b2t = 3.14 c2t = Literal[3j] # E: Parameter 1 of Literal[...] cannot be of type "complex" d2t = 3j a2: a2t reveal_type(a2) # N: Revealed type is "Any" b2: b2t # E: Variable "__main__.b2t" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases c2: c2t reveal_type(c2) # N: Revealed type is "Any" d2: d2t # E: Variable "__main__.d2t" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [builtins fixtures/complex_tuple.pyi] [out] [case testLiteralDisallowComplexExpressions] from typing import Literal def dummy() -> int: return 3 a: Literal[3 + 4] # E: Invalid type: Literal[...] cannot contain arbitrary expressions b: Literal[" foo ".trim()] # E: Invalid type: Literal[...] cannot contain arbitrary expressions d: Literal[~12] # E: Invalid type: Literal[...] cannot contain arbitrary expressions e: Literal[dummy()] # E: Invalid type: Literal[...] cannot contain arbitrary expressions [builtins fixtures/tuple.pyi] [out] [case testLiteralDisallowCollections] from typing import Literal a: Literal[{"a": 1, "b": 2}] # E: Parameter 1 of Literal[...] is invalid b: Literal[{1, 2, 3}] # E: Invalid type: Literal[...] cannot contain arbitrary expressions c: {"a": 1, "b": 2} # E: Inline TypedDict is experimental, must be enabled with --enable-incomplete-feature=InlineTypedDict \ # E: Invalid type: try using Literal[1] instead? \ # E: Invalid type: try using Literal[2] instead? d: {1, 2, 3} # E: Invalid type comment or annotation [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testLiteralDisallowCollections2] from typing import Literal a: (1, 2, 3) # E: Syntax error in type annotation \ # N: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) b: Literal[[1, 2, 3]] # E: Parameter 1 of Literal[...] is invalid c: [1, 2, 3] # E: Bracketed expression "[...]" is not valid as a type [builtins fixtures/tuple.pyi] [case testLiteralDisallowCollectionsTypeAlias] from typing import Literal at = Literal[{"a": 1, "b": 2}] # E: Parameter 1 of Literal[...] is invalid bt = {"a": 1, "b": 2} a: at reveal_type(a) # N: Revealed type is "Any" b: bt # E: Variable "__main__.bt" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testLiteralDisallowCollectionsTypeAlias2] from typing import Literal at = Literal[{1, 2, 3}] # E: Invalid type alias: expression is not a valid type bt = {1, 2, 3} a: at # E: Variable "__main__.at" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases b: bt # E: Variable "__main__.bt" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [builtins fixtures/set.pyi] [typing fixtures/typing-full.pyi] [out] [case testLiteralDisallowTypeVar] from typing import Literal, TypeVar, Tuple T = TypeVar('T') at = Literal[T] # E: Parameter 1 of Literal[...] is invalid a: at def foo(b: Literal[T]) -> Tuple[T]: pass # E: Parameter 1 of Literal[...] is invalid [builtins fixtures/tuple.pyi] [out] -- -- Test mixing and matching literals with other types -- [case testLiteralMultipleValues] from typing import Literal a: Literal[1, 2, 3] b: Literal["a", "b", "c"] c: Literal[1, "b", True, None] d: Literal[1, 1, 1] e: Literal[None, None, None] reveal_type(a) # N: Revealed type is "Union[Literal[1], Literal[2], Literal[3]]" reveal_type(b) # N: Revealed type is "Union[Literal['a'], Literal['b'], Literal['c']]" reveal_type(c) # N: Revealed type is "Union[Literal[1], Literal['b'], Literal[True], None]" # Note: I was thinking these should be simplified, but it seems like # mypy doesn't simplify unions with duplicate values with other types. reveal_type(d) # N: Revealed type is "Union[Literal[1], Literal[1], Literal[1]]" reveal_type(e) # N: Revealed type is "Union[None, None, None]" [builtins fixtures/bool.pyi] [out] [case testLiteralMultipleValuesExplicitTuple] from typing import Literal # Unfortunately, it seems like typed_ast is unable to distinguish this from # Literal[1, 2, 3]. So we treat the two as being equivalent for now. a: Literal[1, 2, 3] b: Literal[(1, 2, 3)] reveal_type(a) # N: Revealed type is "Union[Literal[1], Literal[2], Literal[3]]" reveal_type(b) # N: Revealed type is "Union[Literal[1], Literal[2], Literal[3]]" [builtins fixtures/tuple.pyi] [out] [case testLiteralNestedUsage] from typing import Literal a: Literal[Literal[3], 4, Literal["foo"]] reveal_type(a) # N: Revealed type is "Union[Literal[3], Literal[4], Literal['foo']]" alias_for_literal = Literal[5] b: Literal[alias_for_literal] reveal_type(b) # N: Revealed type is "Literal[5]" another_alias = Literal[1, None] c: Literal[alias_for_literal, another_alias, "r"] reveal_type(c) # N: Revealed type is "Union[Literal[5], Literal[1], None, Literal['r']]" basic_mode = Literal["r", "w", "a"] basic_with_plus = Literal["r+", "w+", "a+"] combined: Literal[basic_mode, basic_with_plus] reveal_type(combined) # N: Revealed type is "Union[Literal['r'], Literal['w'], Literal['a'], Literal['r+'], Literal['w+'], Literal['a+']]" [builtins fixtures/tuple.pyi] [out] [case testLiteralBiasTowardsAssumingForwardReference] from typing import Literal a: "Foo" reveal_type(a) # N: Revealed type is "__main__.Foo" b: Literal["Foo"] reveal_type(b) # N: Revealed type is "Literal['Foo']" c: "Literal[Foo]" # E: Parameter 1 of Literal[...] is invalid d: "Literal['Foo']" reveal_type(d) # N: Revealed type is "Literal['Foo']" class Foo: pass [builtins fixtures/tuple.pyi] [out] [case testLiteralBiasTowardsAssumingForwardReferenceForTypeAliases] from typing import Literal a: "Foo" reveal_type(a) # N: Revealed type is "Literal[5]" b: Literal["Foo"] reveal_type(b) # N: Revealed type is "Literal['Foo']" c: "Literal[Foo]" reveal_type(c) # N: Revealed type is "Literal[5]" d: "Literal['Foo']" reveal_type(d) # N: Revealed type is "Literal['Foo']" e: Literal[Foo, 'Foo'] reveal_type(e) # N: Revealed type is "Union[Literal[5], Literal['Foo']]" Foo = Literal[5] [builtins fixtures/tuple.pyi] [out] [case testLiteralBiasTowardsAssumingForwardReferencesForTypeComments] from typing import Literal a: Foo reveal_type(a) # N: Revealed type is "__main__.Foo" b: "Foo" reveal_type(b) # N: Revealed type is "__main__.Foo" c: Literal["Foo"] reveal_type(c) # N: Revealed type is "Literal['Foo']" d: Literal[Foo] # E: Parameter 1 of Literal[...] is invalid class Foo: pass [builtins fixtures/tuple.pyi] [out] -- -- Check how we handle very basic subtyping and other useful things -- [case testLiteralCallingFunction] from typing import Literal def foo(x: Literal[3]) -> None: pass a: Literal[1] b: Literal[2] c: int foo(a) # E: Argument 1 to "foo" has incompatible type "Literal[1]"; expected "Literal[3]" foo(b) # E: Argument 1 to "foo" has incompatible type "Literal[2]"; expected "Literal[3]" foo(c) # E: Argument 1 to "foo" has incompatible type "int"; expected "Literal[3]" [builtins fixtures/tuple.pyi] [out] [case testLiteralCallingFunctionWithUnionLiteral] from typing import Literal def foo(x: Literal[1, 2, 3]) -> None: pass a: Literal[1] b: Literal[2, 3] c: Literal[4, 5] d: int foo(a) foo(b) foo(c) # E: Argument 1 to "foo" has incompatible type "Literal[4, 5]"; expected "Literal[1, 2, 3]" foo(d) # E: Argument 1 to "foo" has incompatible type "int"; expected "Literal[1, 2, 3]" [builtins fixtures/tuple.pyi] [out] [case testLiteralCallingFunctionWithStandardBase] from typing import Literal def foo(x: int) -> None: pass a: Literal[1] b: Literal[1, -4] c: Literal[4, 'foo'] foo(a) foo(b) foo(c) # E: Argument 1 to "foo" has incompatible type "Literal[4, 'foo']"; expected "int" [builtins fixtures/tuple.pyi] [out] [case testLiteralCheckSubtypingStrictOptional] from typing import Any, Literal, NoReturn lit: Literal[1] def f_lit(x: Literal[1]) -> None: pass def fa(x: Any) -> None: pass def fb(x: NoReturn) -> None: pass def fc(x: None) -> None: pass a: Any b: NoReturn c: None fa(lit) fb(lit) # E: Argument 1 to "fb" has incompatible type "Literal[1]"; expected "Never" fc(lit) # E: Argument 1 to "fc" has incompatible type "Literal[1]"; expected "None" f_lit(a) f_lit(b) f_lit(c) # E: Argument 1 to "f_lit" has incompatible type "None"; expected "Literal[1]" [builtins fixtures/tuple.pyi] [case testLiteralCheckSubtypingNoStrictOptional] # flags: --no-strict-optional from typing import Any, Literal, NoReturn lit: Literal[1] def f_lit(x: Literal[1]) -> None: pass def fa(x: Any) -> None: pass def fb(x: NoReturn) -> None: pass def fc(x: None) -> None: pass a: Any b: NoReturn c: None fa(lit) fb(lit) # E: Argument 1 to "fb" has incompatible type "Literal[1]"; expected "Never" fc(lit) # E: Argument 1 to "fc" has incompatible type "Literal[1]"; expected "None" f_lit(a) f_lit(b) f_lit(c) [builtins fixtures/tuple.pyi] [case testLiteralCallingOverloadedFunction] from typing import overload, Generic, Literal, TypeVar, Any T = TypeVar('T') class IOLike(Generic[T]): pass @overload def foo(x: Literal[1]) -> IOLike[int]: ... @overload def foo(x: Literal[2]) -> IOLike[str]: ... @overload def foo(x: int) -> IOLike[Any]: ... def foo(x: int) -> IOLike[Any]: if x == 1: return IOLike[int]() elif x == 2: return IOLike[str]() else: return IOLike() a: Literal[1] b: Literal[2] c: int d: Literal[3] reveal_type(foo(a)) # N: Revealed type is "__main__.IOLike[builtins.int]" reveal_type(foo(b)) # N: Revealed type is "__main__.IOLike[builtins.str]" reveal_type(foo(c)) # N: Revealed type is "__main__.IOLike[Any]" foo(d) [builtins fixtures/ops.pyi] [out] [case testLiteralVariance] from typing import Generic, Literal, TypeVar T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) T_contra = TypeVar('T_contra', contravariant=True) class Invariant(Generic[T]): pass class Covariant(Generic[T_co]): pass class Contravariant(Generic[T_contra]): pass a1: Invariant[Literal[1]] a2: Invariant[Literal[1, 2]] a3: Invariant[Literal[1, 2, 3]] a2 = a1 # E: Incompatible types in assignment (expression has type "Invariant[Literal[1]]", variable has type "Invariant[Literal[1, 2]]") a2 = a3 # E: Incompatible types in assignment (expression has type "Invariant[Literal[1, 2, 3]]", variable has type "Invariant[Literal[1, 2]]") b1: Covariant[Literal[1]] b2: Covariant[Literal[1, 2]] b3: Covariant[Literal[1, 2, 3]] b2 = b1 b2 = b3 # E: Incompatible types in assignment (expression has type "Covariant[Literal[1, 2, 3]]", variable has type "Covariant[Literal[1, 2]]") c1: Contravariant[Literal[1]] c2: Contravariant[Literal[1, 2]] c3: Contravariant[Literal[1, 2, 3]] c2 = c1 # E: Incompatible types in assignment (expression has type "Contravariant[Literal[1]]", variable has type "Contravariant[Literal[1, 2]]") c2 = c3 [builtins fixtures/tuple.pyi] [out] [case testLiteralInListAndSequence] from typing import List, Literal, Sequence def foo(x: List[Literal[1, 2]]) -> None: pass def bar(x: Sequence[Literal[1, 2]]) -> None: pass a: List[Literal[1]] b: List[Literal[1, 2, 3]] foo(a) # E: Argument 1 to "foo" has incompatible type "list[Literal[1]]"; expected "list[Literal[1, 2]]" \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant foo(b) # E: Argument 1 to "foo" has incompatible type "list[Literal[1, 2, 3]]"; expected "list[Literal[1, 2]]" bar(a) bar(b) # E: Argument 1 to "bar" has incompatible type "list[Literal[1, 2, 3]]"; expected "Sequence[Literal[1, 2]]" [builtins fixtures/list.pyi] [out] [case testLiteralRenamingDoesNotChangeTypeChecking] from typing import Literal as Foo from other_module import Bar1, Bar2, c def func(x: Foo[15]) -> None: pass a: Bar1 b: Bar2 func(a) func(b) # E: Argument 1 to "func" has incompatible type "Literal[14]"; expected "Literal[15]" func(c) [file other_module.py] from typing import Literal Bar1 = Literal[15] Bar2 = Literal[14] c: Literal[15] [builtins fixtures/tuple.pyi] -- -- Check to make sure we handle inference of literal values correctly, -- especially when doing assignments or calls -- [case testLiteralInferredInAssignment] from typing import Literal int1: Literal[1] = 1 int2 = 1 int3: int = 1 str1: Literal["foo"] = "foo" str2 = "foo" str3: str = "foo" bool1: Literal[True] = True bool2 = True bool3: bool = True none1: Literal[None] = None none2 = None none3: None = None reveal_type(int1) # N: Revealed type is "Literal[1]" reveal_type(int2) # N: Revealed type is "builtins.int" reveal_type(int3) # N: Revealed type is "builtins.int" reveal_type(str1) # N: Revealed type is "Literal['foo']" reveal_type(str2) # N: Revealed type is "builtins.str" reveal_type(str3) # N: Revealed type is "builtins.str" reveal_type(bool1) # N: Revealed type is "Literal[True]" reveal_type(bool2) # N: Revealed type is "builtins.bool" reveal_type(bool3) # N: Revealed type is "builtins.bool" reveal_type(none1) # N: Revealed type is "None" reveal_type(none2) # N: Revealed type is "None" reveal_type(none3) # N: Revealed type is "None" [builtins fixtures/primitives.pyi] [out] [case testLiteralInferredOnlyForActualLiterals] from typing import Literal w: Literal[1] x: Literal["foo"] y: Literal[True] z: Literal[None] combined: Literal[1, "foo", True, None] a = 1 b = "foo" c = True d = None w = a # E: Incompatible types in assignment (expression has type "int", variable has type "Literal[1]") x = b # E: Incompatible types in assignment (expression has type "str", variable has type "Literal['foo']") y = c # E: Incompatible types in assignment (expression has type "bool", variable has type "Literal[True]") z = d # This is ok: Literal[None] and None are equivalent. combined = a # E: Incompatible types in assignment (expression has type "int", variable has type "Optional[Literal[1, 'foo', True]]") combined = b # E: Incompatible types in assignment (expression has type "str", variable has type "Optional[Literal[1, 'foo', True]]") combined = c # E: Incompatible types in assignment (expression has type "bool", variable has type "Optional[Literal[1, 'foo', True]]") combined = d # Also ok, for similar reasons. e: Literal[1] = 1 f: Literal["foo"] = "foo" g: Literal[True] = True h: Literal[None] = None w = e x = f y = g z = h combined = e combined = f combined = g combined = h [builtins fixtures/primitives.pyi] [out] [case testLiteralInferredTypeMustMatchExpected] from typing import Literal a: Literal[1] = 2 # E: Incompatible types in assignment (expression has type "Literal[2]", variable has type "Literal[1]") b: Literal["foo"] = "bar" # E: Incompatible types in assignment (expression has type "Literal['bar']", variable has type "Literal['foo']") c: Literal[True] = False # E: Incompatible types in assignment (expression has type "Literal[False]", variable has type "Literal[True]") d: Literal[1, 2] = 3 # E: Incompatible types in assignment (expression has type "Literal[3]", variable has type "Literal[1, 2]") e: Literal["foo", "bar"] = "baz" # E: Incompatible types in assignment (expression has type "Literal['baz']", variable has type "Literal['foo', 'bar']") f: Literal[True, 4] = False # E: Incompatible types in assignment (expression has type "Literal[False]", variable has type "Literal[True, 4]") [builtins fixtures/primitives.pyi] [out] [case testLiteralInferredInCall] from typing import Literal def f_int_lit(x: Literal[1]) -> None: pass def f_int(x: int) -> None: pass def f_str_lit(x: Literal["foo"]) -> None: pass def f_str(x: str) -> None: pass def f_bool_lit(x: Literal[True]) -> None: pass def f_bool(x: bool) -> None: pass def f_none_lit(x: Literal[None]) -> None: pass def f_none(x: None) -> None: pass i1: Literal[1] i2: Literal[2] f_int_lit(1) f_int_lit(2) # E: Argument 1 to "f_int_lit" has incompatible type "Literal[2]"; expected "Literal[1]" f_int(1) f_int_lit(i1) f_int_lit(i2) # E: Argument 1 to "f_int_lit" has incompatible type "Literal[2]"; expected "Literal[1]" s1: Literal["foo"] s2: Literal["bar"] f_str_lit("foo") f_str_lit("bar") # E: Argument 1 to "f_str_lit" has incompatible type "Literal['bar']"; expected "Literal['foo']" f_str("baz") f_str_lit(s1) f_str_lit(s2) # E: Argument 1 to "f_str_lit" has incompatible type "Literal['bar']"; expected "Literal['foo']" b1: Literal[True] b2: Literal[False] f_bool_lit(True) f_bool_lit(False) # E: Argument 1 to "f_bool_lit" has incompatible type "Literal[False]"; expected "Literal[True]" f_bool(True) f_bool_lit(b1) f_bool_lit(b2) # E: Argument 1 to "f_bool_lit" has incompatible type "Literal[False]"; expected "Literal[True]" n1: Literal[None] f_none_lit(None) f_none(None) f_none_lit(n1) [builtins fixtures/primitives.pyi] [out] [case testLiteralInferredInReturnContext] from typing import Literal def f1() -> int: return 1 def f2() -> Literal[1]: return 1 def f3() -> Literal[1]: return 2 # E: Incompatible return value type (got "Literal[2]", expected "Literal[1]") def f4(x: Literal[1]) -> Literal[1]: return x def f5(x: Literal[2]) -> Literal[1]: return x # E: Incompatible return value type (got "Literal[2]", expected "Literal[1]") [builtins fixtures/tuple.pyi] [out] [case testLiteralInferredInListContext] from typing import List, Literal a: List[Literal[1]] = [1, 1, 1] b = [1, 1, 1] c: List[Literal[1, 2, 3]] = [1, 2, 3] d = [1, 2, 3] e: List[Literal[1, "x"]] = [1, "x"] f = [1, "x"] g: List[List[List[Literal[1, 2, 3]]]] = [[[1, 2, 3], [3]]] h: List[Literal[1]] = [] reveal_type(a) # N: Revealed type is "builtins.list[Literal[1]]" reveal_type(b) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(c) # N: Revealed type is "builtins.list[Union[Literal[1], Literal[2], Literal[3]]]" reveal_type(d) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(e) # N: Revealed type is "builtins.list[Union[Literal[1], Literal['x']]]" reveal_type(f) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(g) # N: Revealed type is "builtins.list[builtins.list[builtins.list[Union[Literal[1], Literal[2], Literal[3]]]]]" reveal_type(h) # N: Revealed type is "builtins.list[Literal[1]]" lit1: Literal[1] lit2: Literal[2] lit3: Literal["foo"] arr1 = [lit1, lit1, lit1] arr2 = [lit1, lit2] arr3 = [lit1, 4, 5] arr4 = [lit1, lit2, lit3] arr5 = [object(), lit1] reveal_type(arr1) # N: Revealed type is "builtins.list[Literal[1]]" reveal_type(arr2) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(arr3) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(arr4) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(arr5) # N: Revealed type is "builtins.list[builtins.object]" bad: List[Literal[1, 2]] = [1, 2, 3] # E: List item 2 has incompatible type "Literal[3]"; expected "Literal[1, 2]" [builtins fixtures/list.pyi] [out] [case testLiteralInferredInTupleContext] # Note: most of the 'are we handling context correctly' tests should have been # handled up above, so we keep things comparatively simple for tuples and dicts. from typing import Literal, Tuple a: Tuple[Literal[1], Literal[2]] = (1, 2) b: Tuple[int, Literal[1, 2], Literal[3], Tuple[Literal["foo"]]] = (1, 2, 3, ("foo",)) c: Tuple[Literal[1], Literal[2]] = (2, 1) # E: Incompatible types in assignment (expression has type "tuple[Literal[2], Literal[1]]", variable has type "tuple[Literal[1], Literal[2]]") d = (1, 2) reveal_type(d) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/tuple.pyi] [out] [case testLiteralInferredInDictContext] from typing import Dict, Literal a = {"x": 1, "y": 2} b: Dict[str, Literal[1, 2]] = {"x": 1, "y": 2} c: Dict[Literal["x", "y"], int] = {"x": 1, "y": 2} reveal_type(a) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" [builtins fixtures/dict.pyi] [out] [case testLiteralInferredInOverloadContextBasic] from typing import Literal, overload @overload def func(x: Literal[1]) -> str: ... @overload def func(x: Literal[2]) -> int: ... @overload def func(x: int) -> object: ... def func(x: int) -> object: pass a: Literal[1] b: Literal[2] c: Literal[1, 2] reveal_type(func(1)) # N: Revealed type is "builtins.str" reveal_type(func(2)) # N: Revealed type is "builtins.int" reveal_type(func(3)) # N: Revealed type is "builtins.object" reveal_type(func(a)) # N: Revealed type is "builtins.str" reveal_type(func(b)) # N: Revealed type is "builtins.int" # Note: the fact that we don't do union math here is consistent # with the output we would have gotten if we replaced int and the # Literal types here with regular classes/subclasses. reveal_type(func(c)) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [out] [case testLiteralOverloadProhibitUnsafeOverlaps] from typing import Literal, overload @overload def func1(x: Literal[1]) -> str: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def func1(x: int) -> int: ... def func1(x): pass @overload def func2(x: Literal['a']) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def func2(x: str) -> Literal[2]: ... def func2(x): pass # This one is typesafe @overload def func3(x: Literal['a']) -> Literal[2]: ... @overload def func3(x: str) -> int: ... def func3(x): pass [builtins fixtures/tuple.pyi] [out] [case testLiteralInferredInOverloadContextUnionMath] from typing import overload, Literal, Union class A: pass class B: pass class C: pass @overload def func(x: Literal[-40]) -> A: ... @overload def func(x: Literal[3, 4, 5, 6]) -> B: ... @overload def func(x: Literal["foo"]) -> C: ... def func(x: Union[int, str]) -> Union[A, B, C]: pass a: Literal[-40, "foo"] b: Literal[3] c: Literal[3, -40] d: Literal[6, 7] e: int f: Literal[7, "bar"] reveal_type(func(a)) # N: Revealed type is "Union[__main__.A, __main__.C]" reveal_type(func(b)) # N: Revealed type is "__main__.B" reveal_type(func(c)) # N: Revealed type is "Union[__main__.B, __main__.A]" reveal_type(func(d)) # N: Revealed type is "__main__.B" \ # E: Argument 1 to "func" has incompatible type "Literal[6, 7]"; expected "Literal[3, 4, 5, 6]" reveal_type(func(e)) # E: No overload variant of "func" matches argument type "int" \ # N: Possible overload variants: \ # N: def func(x: Literal[-40]) -> A \ # N: def func(x: Literal[3, 4, 5, 6]) -> B \ # N: def func(x: Literal['foo']) -> C \ # N: Revealed type is "Any" reveal_type(func(f)) # E: No overload variant of "func" matches argument type "Literal[7, 'bar']" \ # N: Possible overload variants: \ # N: def func(x: Literal[-40]) -> A \ # N: def func(x: Literal[3, 4, 5, 6]) -> B \ # N: def func(x: Literal['foo']) -> C \ # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [out] [case testLiteralInferredInOverloadContextUnionMathOverloadingReturnsBestType] # This test is a transliteration of check-overloading::testUnionMathOverloadingReturnsBestType from typing import Literal, overload @overload def f(x: Literal[1, 2]) -> int: ... @overload def f(x: int) -> object: ... def f(x): pass x: Literal[1, 2] y: Literal[1, 2, 3] z: Literal[1, 2, "three"] reveal_type(f(x)) # N: Revealed type is "builtins.int" reveal_type(f(1)) # N: Revealed type is "builtins.int" reveal_type(f(2)) # N: Revealed type is "builtins.int" reveal_type(f(y)) # N: Revealed type is "builtins.object" reveal_type(f(z)) # N: Revealed type is "builtins.int" \ # E: Argument 1 to "f" has incompatible type "Literal[1, 2, 'three']"; expected "Literal[1, 2]" [builtins fixtures/tuple.pyi] [out] [case testLiteralInferredInOverloadContextWithTypevars] from typing import Literal, TypeVar, overload, Union T = TypeVar('T') @overload def f1(x: T, y: int) -> T: ... @overload def f1(x: T, y: str) -> Union[T, str]: ... def f1(x, y): pass a: Literal[1] reveal_type(f1(1, 1)) # N: Revealed type is "builtins.int" reveal_type(f1(a, 1)) # N: Revealed type is "Literal[1]" @overload def f2(x: T, y: Literal[3]) -> T: ... @overload def f2(x: T, y: str) -> Union[T]: ... def f2(x, y): pass reveal_type(f2(1, 3)) # N: Revealed type is "builtins.int" reveal_type(f2(a, 3)) # N: Revealed type is "Literal[1]" @overload def f3(x: Literal[3]) -> Literal[3]: ... @overload def f3(x: T) -> T: ... def f3(x): pass reveal_type(f3(1)) # N: Revealed type is "builtins.int" reveal_type(f3(a)) # N: Revealed type is "Literal[1]" @overload def f4(x: str) -> str: ... @overload def f4(x: T) -> T: ... def f4(x): pass b: Literal['foo'] reveal_type(f4(1)) # N: Revealed type is "builtins.int" reveal_type(f4(a)) # N: Revealed type is "Literal[1]" reveal_type(f4("foo")) # N: Revealed type is "builtins.str" # Note: first overload is selected and prevents the typevar from # ever inferring a Literal["something"]. reveal_type(f4(b)) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [out] [case testLiteralInferredInOverloadContextUnionMathTrickyOverload] # This test is a transliteration of check-overloading::testUnionMathTrickyOverload1 from typing import Literal, overload @overload def f(x: Literal['a'], y: Literal['a']) -> int: ... @overload def f(x: str, y: Literal['b']) -> str: ... def f(x): pass x: Literal['a', 'b'] y: Literal['a', 'b'] f(x, y) # E: Argument 1 to "f" has incompatible type "Literal['a', 'b']"; expected "Literal['a']" \ # E: Argument 2 to "f" has incompatible type "Literal['a', 'b']"; expected "Literal['a']" \ [builtins fixtures/tuple.pyi] [out] --- --- Tests that make sure we're correctly using the fallback --- [case testLiteralFallbackOperatorsWorkCorrectly] from typing import Literal a: Literal[3] b: int c: Literal[4] d: Literal['foo'] e: str reveal_type(a + a) # N: Revealed type is "builtins.int" reveal_type(a + b) # N: Revealed type is "builtins.int" reveal_type(b + a) # N: Revealed type is "builtins.int" reveal_type(a + 1) # N: Revealed type is "builtins.int" reveal_type(1 + a) # N: Revealed type is "builtins.int" reveal_type(a + c) # N: Revealed type is "builtins.int" reveal_type(c + a) # N: Revealed type is "builtins.int" reveal_type(d + d) # N: Revealed type is "builtins.str" reveal_type(d + e) # N: Revealed type is "builtins.str" reveal_type(e + d) # N: Revealed type is "builtins.str" reveal_type(d + 'foo') # N: Revealed type is "builtins.str" reveal_type('foo' + d) # N: Revealed type is "builtins.str" reveal_type(a.__add__(b)) # N: Revealed type is "builtins.int" reveal_type(b.__add__(a)) # N: Revealed type is "builtins.int" a *= b # E: Incompatible types in assignment (expression has type "int", variable has type "Literal[3]") b *= a reveal_type(b) # N: Revealed type is "builtins.int" [builtins fixtures/primitives.pyi] [case testLiteralFallbackInheritedMethodsWorkCorrectly] from typing import Literal a: Literal['foo'] b: str reveal_type(a.startswith(a)) # N: Revealed type is "builtins.bool" reveal_type(b.startswith(a)) # N: Revealed type is "builtins.bool" reveal_type(a.startswith(b)) # N: Revealed type is "builtins.bool" reveal_type(a.strip()) # N: Revealed type is "builtins.str" [builtins fixtures/ops.pyi] [out] [case testLiteralFallbackMethodsDoNotCoerceToLiteral] from typing import Literal a: Literal[3] b: int c: Literal["foo"] if int(): a = a * a # E: Incompatible types in assignment (expression has type "int", variable has type "Literal[3]") a = a * b # E: Incompatible types in assignment (expression has type "int", variable has type "Literal[3]") a = b * a # E: Incompatible types in assignment (expression has type "int", variable has type "Literal[3]") b = a * a b = a * b b = b * a c = c.strip() # E: Incompatible types in assignment (expression has type "str", variable has type "Literal['foo']") [builtins fixtures/ops.pyi] [out] -- -- Tests that check we report errors when we try using Literal[...] -- in invalid places. -- [case testLiteralErrorsWithIsInstanceAndIsSubclass] from typing_extensions import Literal from typing_extensions import Literal as Renamed import typing_extensions as indirect Alias = Literal[3] isinstance(3, Literal[3]) # E: Cannot use isinstance() with Literal type isinstance(3, Alias) # E: Cannot use isinstance() with Literal type \ # E: Argument 2 to "isinstance" has incompatible type ""; expected "Union[type, tuple[Any, ...]]" isinstance(3, Renamed[3]) # E: Cannot use isinstance() with Literal type isinstance(3, indirect.Literal[3]) # E: Cannot use isinstance() with Literal type issubclass(int, Literal[3]) # E: Cannot use issubclass() with Literal type issubclass(int, Alias) # E: Cannot use issubclass() with Literal type \ # E: Argument 2 to "issubclass" has incompatible type ""; expected "Union[type, tuple[Any, ...]]" issubclass(int, Renamed[3]) # E: Cannot use issubclass() with Literal type issubclass(int, indirect.Literal[3]) # E: Cannot use issubclass() with Literal type [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] [out] [case testLiteralErrorsWhenSubclassed] from typing import Literal from typing import Literal as Renamed import typing as indirect Alias = Literal[3] class Bad1(Literal[3]): pass # E: Invalid base class "Literal" class Bad2(Renamed[3]): pass # E: Invalid base class "Renamed" class Bad3(indirect.Literal[3]): pass # E: Invalid base class "indirect.Literal" class Bad4(Alias): pass # E: Invalid base class "Alias" [builtins fixtures/tuple.pyi] [out] [case testLiteralErrorsWhenInvoked-skip] # TODO: We don't seem to correctly handle invoking types like # 'Final' and 'Protocol' as well. When fixing this, also fix # those types? from typing import Literal from typing import Literal as Renamed import typing as indirect Alias = Literal[3] Literal[3]() # E: The type "Type[Literal]" is not generic and not indexable Renamed[3]() # E: The type "Type[Literal]" is not generic and not indexable indirect.Literal[3]() # E: The type "Type[Literal]" is not generic and not indexable Alias() # E: "object" not callable # TODO: Add appropriate error messages to the following lines Literal() Renamed() indirect.Literal() [builtins fixtures/isinstancelist.pyi] [out] -- -- Test to make sure literals interact with generics as expected -- [case testLiteralAndGenericsWithSimpleFunctions] from typing import Literal, TypeVar T = TypeVar('T') def foo(x: T) -> T: pass def expects_literal(x: Literal[3]) -> None: pass def expects_int(x: int) -> None: pass a: Literal[3] reveal_type(foo(3)) # N: Revealed type is "builtins.int" reveal_type(foo(a)) # N: Revealed type is "Literal[3]" expects_literal(3) expects_literal(foo(3)) expects_literal(foo(foo(3))) expects_literal(a) expects_literal(foo(a)) expects_literal(foo(foo(a))) expects_literal(5) # E: Argument 1 to "expects_literal" has incompatible type "Literal[5]"; expected "Literal[3]" expects_literal(foo(5)) # E: Argument 1 to "foo" has incompatible type "Literal[5]"; expected "Literal[3]" expects_literal(foo(foo(5))) # E: Argument 1 to "foo" has incompatible type "Literal[5]"; expected "Literal[3]" expects_int(a) expects_int(foo(a)) expects_int(foo(foo(a))) [builtins fixtures/tuple.pyi] [out] [case testLiteralAndGenericWithUnion] from typing import Literal, TypeVar, Union T = TypeVar('T') def identity(x: T) -> T: return x a: Union[int, Literal['foo']] = identity('foo') b: Union[int, Literal['foo']] = identity('bar') # E: Argument 1 to "identity" has incompatible type "Literal['bar']"; expected "Union[int, Literal['foo']]" [builtins fixtures/tuple.pyi] [out] [case testLiteralAndGenericsNoMatch] from typing import Literal, TypeVar, Union, List def identity(x: T) -> T: return x Ok1 = Union[List[int], Literal['bad']] Ok2 = Union[List[Literal[42]], Literal['bad']] Bad = Union[List[Literal[43]], Literal['bad']] x: Ok1 = identity([42]) y: Ok2 = identity([42]) z: Bad = identity([42]) # E: List item 0 has incompatible type "Literal[42]"; expected "Literal[43]" [builtins fixtures/list.pyi] [out] [case testLiteralAndGenericsWithSimpleClasses] from typing import Literal, TypeVar, Generic T = TypeVar('T') class Wrapper(Generic[T]): def __init__(self, val: T) -> None: self.val = val def inner(self) -> T: return self.val def expects_literal(a: Literal[3]) -> None: pass def expects_literal_wrapper(x: Wrapper[Literal[3]]) -> None: pass a: Literal[3] reveal_type(Wrapper(3)) # N: Revealed type is "__main__.Wrapper[builtins.int]" reveal_type(Wrapper[Literal[3]](3)) # N: Revealed type is "__main__.Wrapper[Literal[3]]" reveal_type(Wrapper(a)) # N: Revealed type is "__main__.Wrapper[Literal[3]]" expects_literal(Wrapper(a).inner()) # Note: the following probably ought to type-check: it's reasonable to infer # Wrapper[Literal[3]] here. # TODO: Consider finding a way to handle this edge case better expects_literal(Wrapper(3).inner()) # E: Argument 1 to "expects_literal" has incompatible type "int"; expected "Literal[3]" # Note: if we handle the edge case above, we should make sure this error # message switches to warning about an incompatible type 'Literal[5]' rather # then an incompatible type 'int' expects_literal(Wrapper(5).inner()) # E: Argument 1 to "expects_literal" has incompatible type "int"; expected "Literal[3]" expects_literal_wrapper(Wrapper(a)) expects_literal_wrapper(Wrapper(3)) expects_literal_wrapper(Wrapper(5)) # E: Argument 1 to "Wrapper" has incompatible type "Literal[5]"; expected "Literal[3]" [builtins fixtures/tuple.pyi] [out] [case testLiteralAndGenericsRespectsUpperBound] from typing import Literal, TypeVar TLiteral = TypeVar('TLiteral', bound=Literal[3]) TInt = TypeVar('TInt', bound=int) def func1(x: TLiteral) -> TLiteral: pass def func2(x: TInt) -> TInt: pass def func3(x: TLiteral) -> TLiteral: y = func2(x) return y def func4(x: TInt) -> TInt: y = func1(x) # E: Value of type variable "TLiteral" of "func1" cannot be "TInt" return y a: Literal[3] b: Literal[4] c: int reveal_type(func1) # N: Revealed type is "def [TLiteral <: Literal[3]] (x: TLiteral`-1) -> TLiteral`-1" reveal_type(func1(3)) # N: Revealed type is "Literal[3]" reveal_type(func1(a)) # N: Revealed type is "Literal[3]" reveal_type(func1(4)) # E: Value of type variable "TLiteral" of "func1" cannot be "Literal[4]" \ # N: Revealed type is "Literal[4]" reveal_type(func1(b)) # E: Value of type variable "TLiteral" of "func1" cannot be "Literal[4]" \ # N: Revealed type is "Literal[4]" reveal_type(func1(c)) # E: Value of type variable "TLiteral" of "func1" cannot be "int" \ # N: Revealed type is "builtins.int" reveal_type(func2(3)) # N: Revealed type is "builtins.int" reveal_type(func2(a)) # N: Revealed type is "Literal[3]" reveal_type(func2(4)) # N: Revealed type is "builtins.int" reveal_type(func2(b)) # N: Revealed type is "Literal[4]" reveal_type(func2(c)) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [out] [case testLiteralAndGenericsRespectsValueRestriction] from typing import Literal, TypeVar TLiteral = TypeVar('TLiteral', Literal[3], Literal['foo']) TNormal = TypeVar('TNormal', int, str) def func1(x: TLiteral) -> TLiteral: pass def func2(x: TNormal) -> TNormal: pass def func3(x: TLiteral) -> TLiteral: y = func2(x) return y # E: Incompatible return value type (got "int", expected "Literal[3]") \ # E: Incompatible return value type (got "str", expected "Literal['foo']") def func4(x: TNormal) -> TNormal: y = func1(x) # E: Value of type variable "TLiteral" of "func1" cannot be "int" \ # E: Value of type variable "TLiteral" of "func1" cannot be "str" return y i1: Literal[3] i2: Literal[4] i: int s1: Literal['foo'] s2: Literal['bar'] s: str reveal_type(func1) # N: Revealed type is "def [TLiteral in (Literal[3], Literal['foo'])] (x: TLiteral`-1) -> TLiteral`-1" reveal_type(func1(3)) # N: Revealed type is "Literal[3]" reveal_type(func1(i1)) # N: Revealed type is "Literal[3]" reveal_type(func1(4)) # E: Value of type variable "TLiteral" of "func1" cannot be "Literal[4]" \ # N: Revealed type is "Literal[4]" reveal_type(func1(i2)) # E: Value of type variable "TLiteral" of "func1" cannot be "Literal[4]" \ # N: Revealed type is "Literal[4]" reveal_type(func1(i)) # E: Value of type variable "TLiteral" of "func1" cannot be "int" \ # N: Revealed type is "builtins.int" reveal_type(func1("foo")) # N: Revealed type is "Literal['foo']" reveal_type(func1(s1)) # N: Revealed type is "Literal['foo']" reveal_type(func1("bar")) # E: Value of type variable "TLiteral" of "func1" cannot be "Literal['bar']" \ # N: Revealed type is "Literal['bar']" reveal_type(func1(s2)) # E: Value of type variable "TLiteral" of "func1" cannot be "Literal['bar']" \ # N: Revealed type is "Literal['bar']" reveal_type(func1(s)) # E: Value of type variable "TLiteral" of "func1" cannot be "str" \ # N: Revealed type is "builtins.str" reveal_type(func2(3)) # N: Revealed type is "builtins.int" reveal_type(func2(i1)) # N: Revealed type is "builtins.int" reveal_type(func2(4)) # N: Revealed type is "builtins.int" reveal_type(func2(i2)) # N: Revealed type is "builtins.int" reveal_type(func2("foo")) # N: Revealed type is "builtins.str" reveal_type(func2(s1)) # N: Revealed type is "builtins.str" reveal_type(func2("bar")) # N: Revealed type is "builtins.str" reveal_type(func2(s2)) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [out] [case testLiteralAndGenericsWithOverloads] from typing import Literal, TypeVar, overload, Union @overload def func1(x: Literal[4]) -> Literal[19]: ... @overload def func1(x: int) -> int: ... def func1(x: int) -> int: pass T = TypeVar('T') def identity(x: T) -> T: pass a: Literal[4] b: Literal[5] reveal_type(func1(identity(4))) # N: Revealed type is "Literal[19]" reveal_type(func1(identity(5))) # N: Revealed type is "builtins.int" reveal_type(func1(identity(a))) # N: Revealed type is "Literal[19]" reveal_type(func1(identity(b))) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] -- -- Interactions with meets -- [case testLiteralMeets] from typing import TypeVar, List, Literal, Callable, Union, Optional a: Callable[[Literal[1]], int] b: Callable[[Literal[2]], str] c: Callable[[int], str] d: Callable[[object], str] e: Callable[[Union[Literal[1], Literal[2]]], str] arr1 = [a, a] arr2 = [a, b] arr3 = [a, c] arr4 = [a, d] arr5 = [a, e] reveal_type(arr1) # N: Revealed type is "builtins.list[def (Literal[1]) -> builtins.int]" reveal_type(arr2) # N: Revealed type is "builtins.list[builtins.function]" reveal_type(arr3) # N: Revealed type is "builtins.list[def (Literal[1]) -> builtins.object]" reveal_type(arr4) # N: Revealed type is "builtins.list[def (Literal[1]) -> builtins.object]" reveal_type(arr5) # N: Revealed type is "builtins.list[def (Literal[1]) -> builtins.object]" # Inspect just only one interesting one lit: Literal[1] reveal_type(arr2[0](lit)) # E: Cannot call function of unknown type \ # N: Revealed type is "Any" T = TypeVar('T') def unify(func: Callable[[T, T], None]) -> T: pass def f1(x: Literal[1], y: Literal[1]) -> None: pass def f2(x: Literal[1], y: Literal[2]) -> None: pass def f3(x: Literal[1], y: int) -> None: pass def f4(x: Literal[1], y: object) -> None: pass def f5(x: Literal[1], y: Union[Literal[1], Literal[2]]) -> None: pass def f6(x: Optional[Literal[1]], y: Optional[Literal[2]]) -> None: pass reveal_type(unify(f1)) # N: Revealed type is "Literal[1]" if object(): reveal_type(unify(f2)) # N: Revealed type is "Never" reveal_type(unify(f3)) # N: Revealed type is "Literal[1]" reveal_type(unify(f4)) # N: Revealed type is "Literal[1]" reveal_type(unify(f5)) # N: Revealed type is "Literal[1]" reveal_type(unify(f6)) # N: Revealed type is "None" [builtins fixtures/list.pyi] [out] [case testLiteralMeetsWithStrictOptional] from typing import TypeVar, Callable, Literal, Union a: Callable[[Literal[1]], int] b: Callable[[Literal[2]], str] lit: Literal[1] arr = [a, b] reveal_type(arr) # N: Revealed type is "builtins.list[builtins.function]" reveal_type(arr[0](lit)) # E: Cannot call function of unknown type \ # N: Revealed type is "Any" T = TypeVar('T') def unify(func: Callable[[T, T], None]) -> T: pass def func(x: Literal[1], y: Literal[2]) -> None: pass reveal_type(unify(func)) # N: Revealed type is "Never" [builtins fixtures/list.pyi] [out] -- -- Checks for intelligent indexing -- [case testLiteralIntelligentIndexingTuples] from typing import Literal, Tuple, NamedTuple, Optional, Final class A: pass class B: pass class C: pass class D: pass class E: pass idx0: Literal[0] idx1: Literal[1] idx2: Literal[2] idx3: Literal[3] idx4: Literal[4] idx5: Literal[5] idx_neg1: Literal[-1] idx_final: Final = 2 tup1: Tuple[A, B, Optional[C], D, E] reveal_type(tup1[idx0]) # N: Revealed type is "__main__.A" reveal_type(tup1[idx1]) # N: Revealed type is "__main__.B" reveal_type(tup1[idx2]) # N: Revealed type is "Union[__main__.C, None]" reveal_type(tup1[idx_final]) # N: Revealed type is "Union[__main__.C, None]" reveal_type(tup1[idx3]) # N: Revealed type is "__main__.D" reveal_type(tup1[idx4]) # N: Revealed type is "__main__.E" reveal_type(tup1[idx_neg1]) # N: Revealed type is "__main__.E" tup1[idx5] # E: Tuple index out of range reveal_type(tup1[idx2:idx4]) # N: Revealed type is "tuple[Union[__main__.C, None], __main__.D]" reveal_type(tup1[::idx2]) # N: Revealed type is "tuple[__main__.A, Union[__main__.C, None], __main__.E]" if tup1[idx2] is not None: reveal_type(tup1[idx2]) # N: Revealed type is "Union[__main__.C, None]" if tup1[idx_final] is not None: reveal_type(tup1[idx_final]) # N: Revealed type is "__main__.C" Tup2Class = NamedTuple('Tup2Class', [('a', A), ('b', B), ('c', C), ('d', D), ('e', E)]) tup2: Tup2Class reveal_type(tup2[idx0]) # N: Revealed type is "__main__.A" reveal_type(tup2[idx1]) # N: Revealed type is "__main__.B" reveal_type(tup2[idx2]) # N: Revealed type is "__main__.C" reveal_type(tup2[idx3]) # N: Revealed type is "__main__.D" reveal_type(tup2[idx4]) # N: Revealed type is "__main__.E" reveal_type(tup2[idx_neg1]) # N: Revealed type is "__main__.E" tup2[idx5] # E: Tuple index out of range reveal_type(tup2[idx2:idx4]) # N: Revealed type is "tuple[__main__.C, __main__.D]" reveal_type(tup2[::idx2]) # N: Revealed type is "tuple[__main__.A, __main__.C, __main__.E]" tup3: Tup2Class = tup2[:] # E: Incompatible types in assignment (expression has type "tuple[A, B, C, D, E]", variable has type "Tup2Class") [builtins fixtures/slice.pyi] [case testLiteralIntelligentIndexingTypedDict] from typing import Literal, TypedDict class Unrelated: pass u: Unrelated class Inner(TypedDict): a: int class Outer(Inner, total=False): b: str a_key: Literal["a"] b_key: Literal["b"] c_key: Literal["c"] d: Outer reveal_type(d[a_key]) # N: Revealed type is "builtins.int" reveal_type(d[b_key]) # N: Revealed type is "builtins.str" d[c_key] # E: TypedDict "Outer" has no key "c" reveal_type(d.get(a_key, u)) # N: Revealed type is "builtins.int" reveal_type(d.get(b_key, u)) # N: Revealed type is "Union[builtins.str, __main__.Unrelated]" reveal_type(d.get(c_key, u)) # N: Revealed type is "builtins.object" reveal_type(d.pop(a_key)) # N: Revealed type is "builtins.int" \ # E: Key "a" of TypedDict "Outer" cannot be deleted reveal_type(d.pop(b_key)) # N: Revealed type is "builtins.str" d.pop(c_key) # E: TypedDict "Outer" has no key "c" del d[a_key] # E: Key "a" of TypedDict "Outer" cannot be deleted del d[b_key] del d[c_key] # E: TypedDict "Outer" has no key "c" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testLiteralIntelligentIndexingUsingFinal] from typing import Final, Literal, Tuple, NamedTuple, TypedDict int_key_good: Final = 0 int_key_bad: Final = 3 str_key_good: Final = "foo" str_key_bad: Final = "missing" class Unrelated: pass MyTuple = NamedTuple('MyTuple', [ ('foo', int), ('bar', str), ]) class MyDict(TypedDict): foo: int bar: str a: Tuple[int, str] b: MyTuple c: MyDict u: Unrelated reveal_type(a[int_key_good]) # N: Revealed type is "builtins.int" reveal_type(b[int_key_good]) # N: Revealed type is "builtins.int" reveal_type(c[str_key_good]) # N: Revealed type is "builtins.int" reveal_type(c.get(str_key_good, u)) # N: Revealed type is "builtins.int" reveal_type(c.get(str_key_bad, u)) # N: Revealed type is "builtins.object" a[int_key_bad] # E: Tuple index out of range b[int_key_bad] # E: Tuple index out of range c[str_key_bad] # E: TypedDict "MyDict" has no key "missing" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testLiteralIntelligentIndexingTupleUnions] from typing import Literal, Tuple, NamedTuple class A: pass class B: pass class C: pass class D: pass class E: pass idx1: Literal[1, 2] idx2: Literal[3, 4] idx_bad: Literal[1, 20] tup1: Tuple[A, B, C, D, E] Tup2Class = NamedTuple('Tup2Class', [('a', A), ('b', B), ('c', C), ('d', D), ('e', E)]) tup2: Tup2Class reveal_type(tup1[idx1]) # N: Revealed type is "Union[__main__.B, __main__.C]" reveal_type(tup1[idx1:idx2]) # N: Revealed type is "Union[tuple[__main__.B, __main__.C], tuple[__main__.B, __main__.C, __main__.D], tuple[__main__.C], tuple[__main__.C, __main__.D]]" reveal_type(tup1[0::idx1]) # N: Revealed type is "Union[tuple[__main__.A, __main__.B, __main__.C, __main__.D, __main__.E], tuple[__main__.A, __main__.C, __main__.E]]" tup1[idx_bad] # E: Tuple index out of range reveal_type(tup2[idx1]) # N: Revealed type is "Union[__main__.B, __main__.C]" reveal_type(tup2[idx1:idx2]) # N: Revealed type is "Union[tuple[__main__.B, __main__.C], tuple[__main__.B, __main__.C, __main__.D], tuple[__main__.C], tuple[__main__.C, __main__.D]]" reveal_type(tup2[0::idx1]) # N: Revealed type is "Union[tuple[__main__.A, __main__.B, __main__.C, __main__.D, __main__.E], tuple[__main__.A, __main__.C, __main__.E]]" tup2[idx_bad] # E: Tuple index out of range [builtins fixtures/slice.pyi] [out] [case testLiteralIntelligentIndexingTypedDictUnions] from typing import Final, Literal, TypedDict class A: pass class B: pass class C: pass class D: pass class E: pass class Base(TypedDict): a: A b: B c: C class Test(Base, total=False): d: D e: E class AAndB(A, B): pass test: Test good_keys: Literal["a", "b"] optional_keys: Literal["d", "e"] bad_keys: Literal["a", "bad"] reveal_type(test[good_keys]) # N: Revealed type is "Union[__main__.A, __main__.B]" reveal_type(test.get(good_keys)) # N: Revealed type is "Union[__main__.A, __main__.B]" reveal_type(test.get(good_keys, 3)) # N: Revealed type is "Union[__main__.A, __main__.B]" reveal_type(test.pop(optional_keys)) # N: Revealed type is "Union[__main__.D, __main__.E]" reveal_type(test.pop(optional_keys, 3)) # N: Revealed type is "Union[__main__.D, __main__.E, Literal[3]?]" reveal_type(test.setdefault(good_keys, AAndB())) # N: Revealed type is "Union[__main__.A, __main__.B]" reveal_type(test.get(bad_keys)) # N: Revealed type is "builtins.object" reveal_type(test.get(bad_keys, 3)) # N: Revealed type is "builtins.object" del test[optional_keys] test[bad_keys] # E: TypedDict "Test" has no key "bad" test.pop(good_keys) # E: Key "a" of TypedDict "Test" cannot be deleted \ # E: Key "b" of TypedDict "Test" cannot be deleted test.pop(bad_keys) # E: Key "a" of TypedDict "Test" cannot be deleted \ # E: TypedDict "Test" has no key "bad" test.setdefault(good_keys, 3) # E: Argument 2 to "setdefault" of "TypedDict" has incompatible type "int"; expected "A" test.setdefault(bad_keys, 3 ) # E: Argument 2 to "setdefault" of "TypedDict" has incompatible type "int"; expected "A" del test[good_keys] # E: Key "a" of TypedDict "Test" cannot be deleted \ # E: Key "b" of TypedDict "Test" cannot be deleted del test[bad_keys] # E: Key "a" of TypedDict "Test" cannot be deleted \ # E: TypedDict "Test" has no key "bad" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testLiteralIntelligentIndexingMultiTypedDict] from typing import Literal, TypedDict, Union class A: pass class B: pass class C: pass class D: pass class D1(TypedDict): a: A b: B c: C class D2(TypedDict): b: B c: C d: D x: Union[D1, D2] good_keys: Literal['b', 'c'] mixed_keys: Literal['a', 'b', 'c', 'd'] bad_keys: Literal['e', 'f'] x[mixed_keys] # E: TypedDict "D1" has no key "d" \ # E: TypedDict "D2" has no key "a" reveal_type(x[good_keys]) # N: Revealed type is "Union[__main__.B, __main__.C]" reveal_type(x.get(good_keys)) # N: Revealed type is "Union[__main__.B, __main__.C]" reveal_type(x.get(good_keys, 3)) # N: Revealed type is "Union[__main__.B, __main__.C]" reveal_type(x.get(mixed_keys)) # N: Revealed type is "builtins.object" reveal_type(x.get(mixed_keys, 3)) # N: Revealed type is "builtins.object" reveal_type(x.get(bad_keys)) # N: Revealed type is "builtins.object" reveal_type(x.get(bad_keys, 3)) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- -- Interactions with 'Final' -- [case testLiteralFinalInferredAsLiteral] from typing import Final, Literal var1: Final = 1 var2: Final = "foo" var3: Final = True var4: Final = None class Foo: classvar1: Final = 1 classvar2: Final = "foo" classvar3: Final = True classvar4: Final = None def __init__(self) -> None: self.instancevar1: Final = 1 self.instancevar2: Final = "foo" self.instancevar3: Final = True self.instancevar4: Final = None def force1(x: Literal[1]) -> None: pass def force2(x: Literal["foo"]) -> None: pass def force3(x: Literal[True]) -> None: pass def force4(x: Literal[None]) -> None: pass reveal_type(var1) # N: Revealed type is "Literal[1]?" reveal_type(var2) # N: Revealed type is "Literal['foo']?" reveal_type(var3) # N: Revealed type is "Literal[True]?" reveal_type(var4) # N: Revealed type is "None" force1(reveal_type(var1)) # N: Revealed type is "Literal[1]" force2(reveal_type(var2)) # N: Revealed type is "Literal['foo']" force3(reveal_type(var3)) # N: Revealed type is "Literal[True]" force4(reveal_type(var4)) # N: Revealed type is "None" reveal_type(Foo.classvar1) # N: Revealed type is "Literal[1]?" reveal_type(Foo.classvar2) # N: Revealed type is "Literal['foo']?" reveal_type(Foo.classvar3) # N: Revealed type is "Literal[True]?" reveal_type(Foo.classvar4) # N: Revealed type is "None" force1(reveal_type(Foo.classvar1)) # N: Revealed type is "Literal[1]" force2(reveal_type(Foo.classvar2)) # N: Revealed type is "Literal['foo']" force3(reveal_type(Foo.classvar3)) # N: Revealed type is "Literal[True]" force4(reveal_type(Foo.classvar4)) # N: Revealed type is "None" f = Foo() reveal_type(f.instancevar1) # N: Revealed type is "Literal[1]?" reveal_type(f.instancevar2) # N: Revealed type is "Literal['foo']?" reveal_type(f.instancevar3) # N: Revealed type is "Literal[True]?" reveal_type(f.instancevar4) # N: Revealed type is "None" force1(reveal_type(f.instancevar1)) # N: Revealed type is "Literal[1]" force2(reveal_type(f.instancevar2)) # N: Revealed type is "Literal['foo']" force3(reveal_type(f.instancevar3)) # N: Revealed type is "Literal[True]" force4(reveal_type(f.instancevar4)) # N: Revealed type is "None" [builtins fixtures/primitives.pyi] [out] [case testLiteralFinalDirectInstanceTypesSupersedeInferredLiteral] from typing import Final, Literal var1: Final[int] = 1 var2: Final[str] = "foo" var3: Final[bool] = True var4: Final[None] = None class Foo: classvar1: Final[int] = 1 classvar2: Final[str] = "foo" classvar3: Final[bool] = True classvar4: Final[None] = None def __init__(self) -> None: self.instancevar1: Final[int] = 1 self.instancevar2: Final[str] = "foo" self.instancevar3: Final[bool] = True self.instancevar4: Final[None] = None def force1(x: Literal[1]) -> None: pass def force2(x: Literal["foo"]) -> None: pass def force3(x: Literal[True]) -> None: pass def force4(x: Literal[None]) -> None: pass reveal_type(var1) # N: Revealed type is "builtins.int" reveal_type(var2) # N: Revealed type is "builtins.str" reveal_type(var3) # N: Revealed type is "builtins.bool" reveal_type(var4) # N: Revealed type is "None" force1(var1) # E: Argument 1 to "force1" has incompatible type "int"; expected "Literal[1]" force2(var2) # E: Argument 1 to "force2" has incompatible type "str"; expected "Literal['foo']" force3(var3) # E: Argument 1 to "force3" has incompatible type "bool"; expected "Literal[True]" force4(var4) reveal_type(Foo.classvar1) # N: Revealed type is "builtins.int" reveal_type(Foo.classvar2) # N: Revealed type is "builtins.str" reveal_type(Foo.classvar3) # N: Revealed type is "builtins.bool" reveal_type(Foo.classvar4) # N: Revealed type is "None" force1(Foo.classvar1) # E: Argument 1 to "force1" has incompatible type "int"; expected "Literal[1]" force2(Foo.classvar2) # E: Argument 1 to "force2" has incompatible type "str"; expected "Literal['foo']" force3(Foo.classvar3) # E: Argument 1 to "force3" has incompatible type "bool"; expected "Literal[True]" force4(Foo.classvar4) f = Foo() reveal_type(f.instancevar1) # N: Revealed type is "builtins.int" reveal_type(f.instancevar2) # N: Revealed type is "builtins.str" reveal_type(f.instancevar3) # N: Revealed type is "builtins.bool" reveal_type(f.instancevar4) # N: Revealed type is "None" force1(f.instancevar1) # E: Argument 1 to "force1" has incompatible type "int"; expected "Literal[1]" force2(f.instancevar2) # E: Argument 1 to "force2" has incompatible type "str"; expected "Literal['foo']" force3(f.instancevar3) # E: Argument 1 to "force3" has incompatible type "bool"; expected "Literal[True]" force4(f.instancevar4) [builtins fixtures/primitives.pyi] [out] [case testLiteralFinalDirectLiteralTypesForceLiteral] from typing import Final, Literal var1: Final[Literal[1]] = 1 var2: Final[Literal["foo"]] = "foo" var3: Final[Literal[True]] = True var4: Final[Literal[None]] = None class Foo: classvar1: Final[Literal[1]] = 1 classvar2: Final[Literal["foo"]] = "foo" classvar3: Final[Literal[True]] = True classvar4: Final[Literal[None]] = None def __init__(self) -> None: self.instancevar1: Final[Literal[1]] = 1 self.instancevar2: Final[Literal["foo"]] = "foo" self.instancevar3: Final[Literal[True]] = True self.instancevar4: Final[Literal[None]] = None def force1(x: Literal[1]) -> None: pass def force2(x: Literal["foo"]) -> None: pass def force3(x: Literal[True]) -> None: pass def force4(x: Literal[None]) -> None: pass reveal_type(var1) # N: Revealed type is "Literal[1]" reveal_type(var2) # N: Revealed type is "Literal['foo']" reveal_type(var3) # N: Revealed type is "Literal[True]" reveal_type(var4) # N: Revealed type is "None" force1(reveal_type(var1)) # N: Revealed type is "Literal[1]" force2(reveal_type(var2)) # N: Revealed type is "Literal['foo']" force3(reveal_type(var3)) # N: Revealed type is "Literal[True]" force4(reveal_type(var4)) # N: Revealed type is "None" reveal_type(Foo.classvar1) # N: Revealed type is "Literal[1]" reveal_type(Foo.classvar2) # N: Revealed type is "Literal['foo']" reveal_type(Foo.classvar3) # N: Revealed type is "Literal[True]" reveal_type(Foo.classvar4) # N: Revealed type is "None" force1(reveal_type(Foo.classvar1)) # N: Revealed type is "Literal[1]" force2(reveal_type(Foo.classvar2)) # N: Revealed type is "Literal['foo']" force3(reveal_type(Foo.classvar3)) # N: Revealed type is "Literal[True]" force4(reveal_type(Foo.classvar4)) # N: Revealed type is "None" f = Foo() reveal_type(f.instancevar1) # N: Revealed type is "Literal[1]" reveal_type(f.instancevar2) # N: Revealed type is "Literal['foo']" reveal_type(f.instancevar3) # N: Revealed type is "Literal[True]" reveal_type(f.instancevar4) # N: Revealed type is "None" force1(reveal_type(f.instancevar1)) # N: Revealed type is "Literal[1]" force2(reveal_type(f.instancevar2)) # N: Revealed type is "Literal['foo']" force3(reveal_type(f.instancevar3)) # N: Revealed type is "Literal[True]" force4(reveal_type(f.instancevar4)) # N: Revealed type is "None" [builtins fixtures/primitives.pyi] [out] [case testLiteralFinalErasureInMutableDatastructures1] from typing import Final var1: Final = [0, None] var2: Final = (0, None) reveal_type(var1) # N: Revealed type is "builtins.list[Union[builtins.int, None]]" reveal_type(var2) # N: Revealed type is "tuple[Literal[0]?, None]" [builtins fixtures/tuple.pyi] [case testLiteralFinalErasureInMutableDatastructures2] from typing import Final, Literal var1: Final = [] var1.append(0) reveal_type(var1) # N: Revealed type is "builtins.list[builtins.int]" var2 = [] var2.append(0) reveal_type(var2) # N: Revealed type is "builtins.list[builtins.int]" x: Literal[0] = 0 var3 = [] var3.append(x) reveal_type(var3) # N: Revealed type is "builtins.list[Literal[0]]" [builtins fixtures/list.pyi] [case testLiteralFinalMismatchCausesError] from typing import Final, Literal var1: Final[Literal[4]] = 1 # E: Incompatible types in assignment (expression has type "Literal[1]", variable has type "Literal[4]") var2: Final[Literal['bad']] = "foo" # E: Incompatible types in assignment (expression has type "Literal['foo']", variable has type "Literal['bad']") var3: Final[Literal[False]] = True # E: Incompatible types in assignment (expression has type "Literal[True]", variable has type "Literal[False]") class Foo: classvar1: Final[Literal[4]] = 1 # E: Incompatible types in assignment (expression has type "Literal[1]", variable has type "Literal[4]") classvar2: Final[Literal['bad']] = "foo" # E: Incompatible types in assignment (expression has type "Literal['foo']", variable has type "Literal['bad']") classvar3: Final[Literal[False]] = True # E: Incompatible types in assignment (expression has type "Literal[True]", variable has type "Literal[False]") def __init__(self) -> None: self.instancevar1: Final[Literal[4]] = 1 # E: Incompatible types in assignment (expression has type "Literal[1]", variable has type "Literal[4]") self.instancevar2: Final[Literal['bad']] = "foo" # E: Incompatible types in assignment (expression has type "Literal['foo']", variable has type "Literal['bad']") self.instancevar3: Final[Literal[False]] = True # E: Incompatible types in assignment (expression has type "Literal[True]", variable has type "Literal[False]") # TODO: Fix the order in which these error messages are shown to be more consistent. var1 = 10 # E: Cannot assign to final name "var1" \ # E: Incompatible types in assignment (expression has type "Literal[10]", variable has type "Literal[4]") Foo.classvar1 = 10 # E: Cannot assign to final attribute "classvar1" \ # E: Incompatible types in assignment (expression has type "Literal[10]", variable has type "Literal[4]") Foo().instancevar1 = 10 # E: Cannot assign to final attribute "instancevar1" \ # E: Incompatible types in assignment (expression has type "Literal[10]", variable has type "Literal[4]") [builtins fixtures/primitives.pyi] [out] [case testLiteralFinalGoesOnlyOneLevelDown] from typing import Final, Literal, Tuple a: Final = 1 b: Final = (1, 2) def force1(x: Literal[1]) -> None: pass def force2(x: Tuple[Literal[1], Literal[2]]) -> None: pass reveal_type(a) # N: Revealed type is "Literal[1]?" reveal_type(b) # N: Revealed type is "tuple[Literal[1]?, Literal[2]?]" force1(a) # ok force2(b) # ok [builtins fixtures/tuple.pyi] [out] [case testLiteralFinalCollectionPropagation] from typing import Final, List, Literal a: Final = 1 implicit = [a] explicit: List[Literal[1]] = [a] direct = [1] def force1(x: List[Literal[1]]) -> None: pass def force2(x: Literal[1]) -> None: pass reveal_type(implicit) # N: Revealed type is "builtins.list[builtins.int]" force1(reveal_type(implicit)) # E: Argument 1 to "force1" has incompatible type "list[int]"; expected "list[Literal[1]]" \ # N: Revealed type is "builtins.list[builtins.int]" force2(reveal_type(implicit[0])) # E: Argument 1 to "force2" has incompatible type "int"; expected "Literal[1]" \ # N: Revealed type is "builtins.int" reveal_type(explicit) # N: Revealed type is "builtins.list[Literal[1]]" force1(reveal_type(explicit)) # N: Revealed type is "builtins.list[Literal[1]]" force2(reveal_type(explicit[0])) # N: Revealed type is "Literal[1]" reveal_type(direct) # N: Revealed type is "builtins.list[builtins.int]" force1(reveal_type(direct)) # E: Argument 1 to "force1" has incompatible type "list[int]"; expected "list[Literal[1]]" \ # N: Revealed type is "builtins.list[builtins.int]" force2(reveal_type(direct[0])) # E: Argument 1 to "force2" has incompatible type "int"; expected "Literal[1]" \ # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [out] [case testLiteralFinalStringTypesPython3] from typing import Final, Literal a: Final = u"foo" b: Final = "foo" c: Final = b"foo" def force_unicode(x: Literal[u"foo"]) -> None: pass def force_bytes(x: Literal[b"foo"]) -> None: pass force_unicode(reveal_type(a)) # N: Revealed type is "Literal['foo']" force_unicode(reveal_type(b)) # N: Revealed type is "Literal['foo']" force_unicode(reveal_type(c)) # E: Argument 1 to "force_unicode" has incompatible type "Literal[b'foo']"; expected "Literal['foo']" \ # N: Revealed type is "Literal[b'foo']" force_bytes(reveal_type(a)) # E: Argument 1 to "force_bytes" has incompatible type "Literal['foo']"; expected "Literal[b'foo']" \ # N: Revealed type is "Literal['foo']" force_bytes(reveal_type(b)) # E: Argument 1 to "force_bytes" has incompatible type "Literal['foo']"; expected "Literal[b'foo']" \ # N: Revealed type is "Literal['foo']" force_bytes(reveal_type(c)) # N: Revealed type is "Literal[b'foo']" [builtins fixtures/tuple.pyi] [out] [case testLiteralFinalPropagatesThroughGenerics] from typing import TypeVar, Generic, Final, Literal T = TypeVar('T') class WrapperClass(Generic[T]): def __init__(self, data: T) -> None: self.data = data def wrapper_func(x: T) -> T: return x def force(x: Literal[99]) -> None: pass def over_int(x: WrapperClass[int]) -> None: pass def over_literal(x: WrapperClass[Literal[99]]) -> None: pass var1: Final = 99 w1 = WrapperClass(var1) force(reveal_type(w1.data)) # E: Argument 1 to "force" has incompatible type "int"; expected "Literal[99]" \ # N: Revealed type is "builtins.int" force(reveal_type(WrapperClass(var1).data)) # E: Argument 1 to "force" has incompatible type "int"; expected "Literal[99]" \ # N: Revealed type is "builtins.int" force(reveal_type(wrapper_func(var1))) # N: Revealed type is "Literal[99]" over_int(reveal_type(w1)) # N: Revealed type is "__main__.WrapperClass[builtins.int]" over_literal(reveal_type(w1)) # E: Argument 1 to "over_literal" has incompatible type "WrapperClass[int]"; expected "WrapperClass[Literal[99]]" \ # N: Revealed type is "__main__.WrapperClass[builtins.int]" over_int(reveal_type(WrapperClass(var1))) # N: Revealed type is "__main__.WrapperClass[builtins.int]" over_literal(reveal_type(WrapperClass(var1))) # N: Revealed type is "__main__.WrapperClass[Literal[99]]" w2 = WrapperClass(99) force(reveal_type(w2.data)) # E: Argument 1 to "force" has incompatible type "int"; expected "Literal[99]" \ # N: Revealed type is "builtins.int" force(reveal_type(WrapperClass(99).data)) # E: Argument 1 to "force" has incompatible type "int"; expected "Literal[99]" \ # N: Revealed type is "builtins.int" force(reveal_type(wrapper_func(99))) # N: Revealed type is "Literal[99]" over_int(reveal_type(w2)) # N: Revealed type is "__main__.WrapperClass[builtins.int]" over_literal(reveal_type(w2)) # E: Argument 1 to "over_literal" has incompatible type "WrapperClass[int]"; expected "WrapperClass[Literal[99]]" \ # N: Revealed type is "__main__.WrapperClass[builtins.int]" over_int(reveal_type(WrapperClass(99))) # N: Revealed type is "__main__.WrapperClass[builtins.int]" over_literal(reveal_type(WrapperClass(99))) # N: Revealed type is "__main__.WrapperClass[Literal[99]]" var3: Literal[99] = 99 w3 = WrapperClass(var3) force(reveal_type(w3.data)) # N: Revealed type is "Literal[99]" force(reveal_type(WrapperClass(var3).data)) # N: Revealed type is "Literal[99]" force(reveal_type(wrapper_func(var3))) # N: Revealed type is "Literal[99]" over_int(reveal_type(w3)) # E: Argument 1 to "over_int" has incompatible type "WrapperClass[Literal[99]]"; expected "WrapperClass[int]" \ # N: Revealed type is "__main__.WrapperClass[Literal[99]]" over_literal(reveal_type(w3)) # N: Revealed type is "__main__.WrapperClass[Literal[99]]" over_int(reveal_type(WrapperClass(var3))) # N: Revealed type is "__main__.WrapperClass[builtins.int]" over_literal(reveal_type(WrapperClass(var3))) # N: Revealed type is "__main__.WrapperClass[Literal[99]]" [builtins fixtures/tuple.pyi] [out] [case testLiteralFinalUsedInLiteralType] from typing import Final, Literal a: Final[int] = 3 b: Final = 3 c: Final[Literal[3]] = 3 d: Literal[3] a_wrap: Literal[4, a] # E: Parameter 2 of Literal[...] is invalid b_wrap: Literal[4, b] # E: Parameter 2 of Literal[...] is invalid c_wrap: Literal[4, c] # E: Parameter 2 of Literal[...] is invalid d_wrap: Literal[4, d] # E: Parameter 2 of Literal[...] is invalid [builtins fixtures/tuple.pyi] [out] [case testLiteralWithFinalPropagation] from typing import Final, Literal a: Final = 3 b: Final = a c = a def expect_3(x: Literal[3]) -> None: pass expect_3(a) expect_3(b) expect_3(c) # E: Argument 1 to "expect_3" has incompatible type "int"; expected "Literal[3]" [builtins fixtures/tuple.pyi] [out] [case testLiteralWithFinalPropagationIsNotLeaking] from typing import Final, Literal final_tuple_direct: Final = (2, 3) final_tuple_indirect: Final = final_tuple_direct mutable_tuple = final_tuple_direct final_list_1: Final = [2] final_list_2: Final = [2, 2] final_dict: Final = {"foo": 2} final_set_1: Final = {2} final_set_2: Final = {2, 2} def expect_2(x: Literal[2]) -> None: pass expect_2(final_tuple_direct[0]) expect_2(final_tuple_indirect[0]) expect_2(mutable_tuple[0]) # E: Argument 1 to "expect_2" has incompatible type "int"; expected "Literal[2]" expect_2(final_list_1[0]) # E: Argument 1 to "expect_2" has incompatible type "int"; expected "Literal[2]" expect_2(final_list_2[0]) # E: Argument 1 to "expect_2" has incompatible type "int"; expected "Literal[2]" expect_2(final_dict["foo"]) # E: Argument 1 to "expect_2" has incompatible type "int"; expected "Literal[2]" expect_2(final_set_1.pop()) # E: Argument 1 to "expect_2" has incompatible type "int"; expected "Literal[2]" expect_2(final_set_2.pop()) # E: Argument 1 to "expect_2" has incompatible type "int"; expected "Literal[2]" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] -- -- Tests for Literals and enums -- [case testLiteralWithEnumsBasic] from typing import Literal from enum import Enum class Color(Enum): RED = 1 GREEN = 2 BLUE = 3 __ROUGE = RED def func(self) -> int: pass r: Literal[Color.RED] g: Literal[Color.GREEN] b: Literal[Color.BLUE] bad1: Literal[Color] # E: Parameter 1 of Literal[...] is invalid bad2: Literal[Color.func] # E: Parameter 1 of Literal[...] is invalid bad3: Literal[Color.func()] # E: Invalid type: Literal[...] cannot contain arbitrary expressions # TODO: change the next line to use Color._Color__ROUGE when mypy implements name mangling bad4: Literal[Color.__ROUGE] # E: Parameter 1 of Literal[...] is invalid def expects_color(x: Color) -> None: pass def expects_red(x: Literal[Color.RED]) -> None: pass def bad_func(x: Color.RED) -> None: pass # E: Invalid type: try using Literal[Color.RED] instead? expects_color(r) expects_color(g) expects_color(b) expects_red(r) expects_red(g) # E: Argument 1 to "expects_red" has incompatible type "Literal[Color.GREEN]"; expected "Literal[Color.RED]" expects_red(b) # E: Argument 1 to "expects_red" has incompatible type "Literal[Color.BLUE]"; expected "Literal[Color.RED]" reveal_type(expects_red) # N: Revealed type is "def (x: Literal[__main__.Color.RED])" reveal_type(r) # N: Revealed type is "Literal[__main__.Color.RED]" reveal_type(r.func()) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [out] [case testLiteralWithEnumsDefinedInClass] from typing import Literal from enum import Enum class Wrapper: class Color(Enum): RED = 1 GREEN = 2 BLUE = 3 def foo(x: Literal[Wrapper.Color.RED]) -> None: pass r: Literal[Wrapper.Color.RED] g: Literal[Wrapper.Color.GREEN] foo(r) foo(g) # E: Argument 1 to "foo" has incompatible type "Literal[Color.GREEN]"; expected "Literal[Color.RED]" reveal_type(foo) # N: Revealed type is "def (x: Literal[__main__.Wrapper.Color.RED])" reveal_type(r) # N: Revealed type is "Literal[__main__.Wrapper.Color.RED]" [builtins fixtures/tuple.pyi] [out] [case testLiteralWithEnumsSimilarDefinitions] from typing import Literal import mod_a import mod_b def f(x: Literal[mod_a.Test.FOO]) -> None: pass a: Literal[mod_a.Test.FOO] b: Literal[mod_a.Test2.FOO] c: Literal[mod_b.Test.FOO] f(a) f(b) # E: Argument 1 to "f" has incompatible type "Literal[Test2.FOO]"; expected "Literal[Test.FOO]" f(c) # E: Argument 1 to "f" has incompatible type "Literal[mod_b.Test.FOO]"; expected "Literal[mod_a.Test.FOO]" [file mod_a.py] from enum import Enum class Test(Enum): FOO = 1 BAR = 2 class Test2(Enum): FOO = 1 BAR = 2 [file mod_b.py] from enum import Enum class Test(Enum): FOO = 1 BAR = 2 [builtins fixtures/tuple.pyi] [out] [case testLiteralWithEnumsDeclaredUsingCallSyntax] from typing import Literal from enum import Enum A = Enum('A', 'FOO BAR') B = Enum('B', ['FOO', 'BAR']) C = Enum('C', [('FOO', 1), ('BAR', 2)]) D = Enum('D', {'FOO': 1, 'BAR': 2}) a: Literal[A.FOO] b: Literal[B.FOO] c: Literal[C.FOO] d: Literal[D.FOO] reveal_type(a) # N: Revealed type is "Literal[__main__.A.FOO]" reveal_type(b) # N: Revealed type is "Literal[__main__.B.FOO]" reveal_type(c) # N: Revealed type is "Literal[__main__.C.FOO]" reveal_type(d) # N: Revealed type is "Literal[__main__.D.FOO]" [builtins fixtures/dict.pyi] [out] [case testLiteralWithEnumsDerivedEnums] from typing import Literal from enum import Enum, IntEnum, IntFlag, Flag def expects_int(x: int) -> None: pass class A(Enum): FOO = 1 class B(IntEnum): FOO = 1 class C(IntFlag): FOO = 1 class D(Flag): FOO = 1 a: Literal[A.FOO] b: Literal[B.FOO] c: Literal[C.FOO] d: Literal[D.FOO] expects_int(a) # E: Argument 1 to "expects_int" has incompatible type "Literal[A.FOO]"; expected "int" expects_int(b) expects_int(c) expects_int(d) # E: Argument 1 to "expects_int" has incompatible type "Literal[D.FOO]"; expected "int" [builtins fixtures/tuple.pyi] [out] [case testLiteralWithEnumsAliases] from typing import Literal from enum import Enum class Test(Enum): FOO = 1 BAR = 2 Alias = Test x: Literal[Alias.FOO] reveal_type(x) # N: Revealed type is "Literal[__main__.Test.FOO]" [builtins fixtures/tuple.pyi] [out] [case testLiteralUsingEnumAttributesInLiteralContexts] from typing import Final, Literal from enum import Enum class Test1(Enum): FOO = 1 BAR = 2 Test2 = Enum('Test2', [('FOO', 1), ('BAR', 2)]) def expects_test1_foo(x: Literal[Test1.FOO]) -> None: ... def expects_test2_foo(x: Literal[Test2.FOO]) -> None: ... expects_test1_foo(Test1.FOO) expects_test1_foo(Test1.BAR) # E: Argument 1 to "expects_test1_foo" has incompatible type "Literal[Test1.BAR]"; expected "Literal[Test1.FOO]" expects_test2_foo(Test2.FOO) expects_test2_foo(Test2.BAR) # E: Argument 1 to "expects_test2_foo" has incompatible type "Literal[Test2.BAR]"; expected "Literal[Test2.FOO]" # Make sure the two 'FOO's are not interchangeable expects_test1_foo(Test2.FOO) # E: Argument 1 to "expects_test1_foo" has incompatible type "Literal[Test2.FOO]"; expected "Literal[Test1.FOO]" expects_test2_foo(Test1.FOO) # E: Argument 1 to "expects_test2_foo" has incompatible type "Literal[Test1.FOO]"; expected "Literal[Test2.FOO]" # Make sure enums follow the same semantics as 'x = 1' vs 'x: Final = 1' var1 = Test1.FOO final1: Final = Test1.FOO expects_test1_foo(var1) # E: Argument 1 to "expects_test1_foo" has incompatible type "Test1"; expected "Literal[Test1.FOO]" expects_test1_foo(final1) var2 = Test2.FOO final2: Final = Test2.FOO expects_test2_foo(var2) # E: Argument 1 to "expects_test2_foo" has incompatible type "Test2"; expected "Literal[Test2.FOO]" expects_test2_foo(final2) [builtins fixtures/tuple.pyi] [out] [case testLiteralUsingEnumAttributeNamesInLiteralContexts] from typing import Final, Literal from enum import Enum class Test1(Enum): FOO = 1 BAR = 2 Test2 = Enum('Test2', [('FOO', 1), ('BAR', 2)]) Test3 = Enum('Test3', 'FOO BAR') Test4 = Enum('Test4', ['FOO', 'BAR']) Test5 = Enum('Test5', {'FOO': 1, 'BAR': 2}) def expects_foo(x: Literal['FOO']) -> None: ... expects_foo(Test1.FOO.name) expects_foo(Test2.FOO.name) expects_foo(Test3.FOO.name) expects_foo(Test4.FOO.name) expects_foo(Test5.FOO.name) expects_foo(Test1.BAR.name) # E: Argument 1 to "expects_foo" has incompatible type "Literal['BAR']"; expected "Literal['FOO']" expects_foo(Test2.BAR.name) # E: Argument 1 to "expects_foo" has incompatible type "Literal['BAR']"; expected "Literal['FOO']" expects_foo(Test3.BAR.name) # E: Argument 1 to "expects_foo" has incompatible type "Literal['BAR']"; expected "Literal['FOO']" expects_foo(Test4.BAR.name) # E: Argument 1 to "expects_foo" has incompatible type "Literal['BAR']"; expected "Literal['FOO']" expects_foo(Test5.BAR.name) # E: Argument 1 to "expects_foo" has incompatible type "Literal['BAR']"; expected "Literal['FOO']" reveal_type(Test1.FOO.name) # N: Revealed type is "Literal['FOO']?" reveal_type(Test2.FOO.name) # N: Revealed type is "Literal['FOO']?" reveal_type(Test3.FOO.name) # N: Revealed type is "Literal['FOO']?" reveal_type(Test4.FOO.name) # N: Revealed type is "Literal['FOO']?" reveal_type(Test5.FOO.name) # N: Revealed type is "Literal['FOO']?" [builtins fixtures/tuple.pyi] [out] [case testLiteralBinderLastValueErased] # mypy: strict-equality from typing import Literal def takes_three(x: Literal[3]) -> None: ... x: object x = 3 takes_three(x) # E: Argument 1 to "takes_three" has incompatible type "int"; expected "Literal[3]" if x == 2: # OK ... [builtins fixtures/bool.pyi] [case testLiteralBinderLastValueErasedPartialTypes] # mypy: strict-equality def test() -> None: x = None if bool(): x = 1 if x == 2: # OK ... [builtins fixtures/bool.pyi] [case testUnaryOpLiteral] from typing import Literal a: Literal[-2] = -2 b: Literal[-1] = -1 c: Literal[0] = 0 d: Literal[1] = 1 e: Literal[2] = 2 f: Literal[+1] = 1 g: Literal[+2] = 2 h: Literal[1] = +1 i: Literal[+2] = 2 j: Literal[+3] = +3 x: Literal[+True] = True # E: Invalid type: Literal[...] cannot contain arbitrary expressions y: Literal[-True] = -1 # E: Invalid type: Literal[...] cannot contain arbitrary expressions z: Literal[~0] = 0 # E: Invalid type: Literal[...] cannot contain arbitrary expressions [out] [builtins fixtures/ops.pyi] [case testNegativeIntLiteralWithFinal] from typing import Final, Literal ONE: Final = 1 x: Literal[-1] = -ONE y: Literal[+1] = +ONE TWO: Final = 2 THREE: Final = 3 err_code = -TWO if bool(): err_code = -THREE [builtins fixtures/ops.pyi] [case testAliasForEnumTypeAsLiteral] from typing import Literal from enum import Enum class Foo(Enum): A = 1 F = Foo x: Literal[Foo.A] y: Literal[F.A] reveal_type(x) # N: Revealed type is "Literal[__main__.Foo.A]" reveal_type(y) # N: Revealed type is "Literal[__main__.Foo.A]" [builtins fixtures/tuple.pyi] [case testLiteralUnionEnumAliasAssignable] from enum import Enum from typing import Literal, Union class E(Enum): A = 'a' B = 'b' C = 'c' A = Literal[E.A] B = Literal[E.B, E.C] def f(x: Union[A, B]) -> None: ... def f2(x: Union[A, Literal[E.B, E.C]]) -> None: ... def f3(x: Union[Literal[E.A], B]) -> None: ... def main(x: E) -> None: f(x) f2(x) f3(x) [builtins fixtures/tuple.pyi] [case testStrictEqualityLiteralTrueVsFalse] # mypy: strict-equality class C: a = True def update(self) -> None: self.a = False c = C() assert c.a is True c.update() assert c.a is False [builtins fixtures/bool.pyi] [case testConditionalBoolLiteralUnionNarrowing] # flags: --warn-unreachable from typing import Literal, Union class Truth: def __bool__(self) -> Literal[True]: ... class AlsoTruth: def __bool__(self) -> Literal[True]: ... class Lie: def __bool__(self) -> Literal[False]: ... class AnyAnswer: def __bool__(self) -> bool: ... class NoAnswerSpecified: pass x: Union[Truth, Lie] if x: reveal_type(x) # N: Revealed type is "__main__.Truth" else: reveal_type(x) # N: Revealed type is "__main__.Lie" if not x: reveal_type(x) # N: Revealed type is "__main__.Lie" else: reveal_type(x) # N: Revealed type is "__main__.Truth" y: Union[Truth, AlsoTruth, Lie] if y: reveal_type(y) # N: Revealed type is "Union[__main__.Truth, __main__.AlsoTruth]" else: reveal_type(y) # N: Revealed type is "__main__.Lie" z: Union[Truth, AnyAnswer] if z: reveal_type(z) # N: Revealed type is "Union[__main__.Truth, __main__.AnyAnswer]" else: reveal_type(z) # N: Revealed type is "__main__.AnyAnswer" q: Union[Truth, NoAnswerSpecified] if q: reveal_type(q) # N: Revealed type is "Union[__main__.Truth, __main__.NoAnswerSpecified]" else: reveal_type(q) # N: Revealed type is "__main__.NoAnswerSpecified" w: Union[Truth, AlsoTruth] if w: reveal_type(w) # N: Revealed type is "Union[__main__.Truth, __main__.AlsoTruth]" else: reveal_type(w) # E: Statement is unreachable [builtins fixtures/bool.pyi] [case testLiteralAndInstanceSubtyping] # https://github.com/python/mypy/issues/7399 # https://github.com/python/mypy/issues/11232 from typing import Final, Literal, Tuple, Union x: bool def f() -> Union[Tuple[Literal[True], int], Tuple[Literal[False], str]]: if x: return (True, 5) else: return (False, 'oops') reveal_type(f()) # N: Revealed type is "Union[tuple[Literal[True], builtins.int], tuple[Literal[False], builtins.str]]" def does_work() -> Tuple[Literal[1]]: x: Final = (1,) return x def also_works() -> Tuple[Literal[1]]: x: Tuple[Literal[1]] = (1,) return x def invalid_literal_value() -> Tuple[Literal[1]]: x: Final = (2,) return x # E: Incompatible return value type (got "tuple[int]", expected "tuple[Literal[1]]") def invalid_literal_type() -> Tuple[Literal[1]]: x: Final = (True,) return x # E: Incompatible return value type (got "tuple[bool]", expected "tuple[Literal[1]]") def incorrect_return1() -> Union[Tuple[Literal[True], int], Tuple[Literal[False], str]]: if x: return (False, 5) # E: Incompatible return value type (got "tuple[bool, int]", expected "Union[tuple[Literal[True], int], tuple[Literal[False], str]]") else: return (True, 'oops') # E: Incompatible return value type (got "tuple[bool, str]", expected "Union[tuple[Literal[True], int], tuple[Literal[False], str]]") def incorrect_return2() -> Union[Tuple[Literal[True], int], Tuple[Literal[False], str]]: if x: return (bool(), 5) # E: Incompatible return value type (got "tuple[bool, int]", expected "Union[tuple[Literal[True], int], tuple[Literal[False], str]]") else: return (bool(), 'oops') # E: Incompatible return value type (got "tuple[bool, str]", expected "Union[tuple[Literal[True], int], tuple[Literal[False], str]]") [builtins fixtures/bool.pyi] [case testLiteralSubtypeContext] from typing import Literal class A: foo: Literal['bar', 'spam'] class B(A): foo = 'spam' reveal_type(B().foo) # N: Revealed type is "Literal['spam']" [builtins fixtures/tuple.pyi] [case testLiteralSubtypeContextNested] from typing import List, Literal class A: foo: List[Literal['bar', 'spam']] class B(A): foo = ['spam'] reveal_type(B().foo) # N: Revealed type is "builtins.list[Union[Literal['bar'], Literal['spam']]]" [builtins fixtures/tuple.pyi] [case testLiteralSubtypeContextGeneric] from typing import Generic, List, Literal, TypeVar T = TypeVar("T", bound=str) class B(Generic[T]): collection: List[T] word: T class C(B[Literal["word"]]): collection = ["word"] word = "word" reveal_type(C().collection) # N: Revealed type is "builtins.list[Literal['word']]" reveal_type(C().word) # N: Revealed type is "Literal['word']" [builtins fixtures/tuple.pyi] [case testLiteralTernaryUnionNarrowing] from typing import Literal, Optional SEP = Literal["a", "b"] class Base: def feed_data( self, sep: SEP, ) -> int: return 0 class C(Base): def feed_data( self, sep: Optional[SEP] = None, ) -> int: if sep is None: sep = "a" if int() else "b" reveal_type(sep) # N: Revealed type is "Union[Literal['a'], Literal['b']]" return super().feed_data(sep) [builtins fixtures/primitives.pyi] [case testLiteralInsideAType] from typing import Literal, Type, Union x: Type[Literal[1]] # E: Type[...] can't contain "Literal[...]" y: Type[Union[Literal[1], Literal[2]]] # E: Type[...] can't contain "Union[Literal[...], Literal[...]]" z: Type[Literal[1, 2]] # E: Type[...] can't contain "Union[Literal[...], Literal[...]]" [builtins fixtures/tuple.pyi] [case testJoinLiteralAndInstance] from typing import Generic, TypeVar, Literal T = TypeVar("T") class A(Generic[T]): ... def f(a: A[T], t: T) -> T: ... def g(a: T, t: A[T]) -> T: ... def check(obj: A[Literal[1]]) -> None: reveal_type(f(obj, 1)) # N: Revealed type is "Literal[1]" reveal_type(f(obj, '')) # E: Cannot infer value of type parameter "T" of "f" \ # N: Revealed type is "Any" reveal_type(g(1, obj)) # N: Revealed type is "Literal[1]" reveal_type(g('', obj)) # E: Cannot infer value of type parameter "T" of "g" \ # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-lowercase.test0000644000175100017510000000244615112307767021072 0ustar00runnerrunner[case testTupleLowercase] x = (3,) x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "tuple[int]") [builtins fixtures/tuple.pyi] [case testListLowercase] x = [3] x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "list[int]") [case testDictLowercase] x = {"key": "value"} x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "dict[str, str]") [case testSetLowercase] x = {3} x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "set[int]") [builtins fixtures/set.pyi] [case testTypeLowercase] x: type[type] y: int y = x # E: Incompatible types in assignment (expression has type "type[type]", variable has type "int") [case testLowercaseTypeAnnotationHint] x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") y = {} # E: Need type annotation for "y" (hint: "y: dict[, ] = ...") z = set() # E: Need type annotation for "z" (hint: "z: set[] = ...") [builtins fixtures/primitives.pyi] [case testLowercaseRevealTypeType] def f(t: type[int]) -> None: reveal_type(t) # N: Revealed type is "type[builtins.int]" reveal_type(f) # N: Revealed type is "def (t: type[builtins.int])" [builtins fixtures/primitives.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-modules-case.test0000644000175100017510000000625215112307767021466 0ustar00runnerrunner-- Type checker test cases dealing with modules and imports on case-insensitive filesystems. [case testCaseSensitivityDir] # flags: --no-namespace-packages from a import B # E: Module "a" has no attribute "B" [file a/__init__.py] [file a/b/__init__.py] [case testCaseSensitivityDirNamespacePackages] # flags: --namespace-packages from a import B # E: Module "a" has no attribute "B" [file a/__init__.py] [file a/b/__init__.py] [case testCaseInsensitivityDir] # flags: --config-file tmp/mypy.ini from a import B # E: Module "a" has no attribute "B" from other import x reveal_type(x) # N: Revealed type is "builtins.int" [file a/__init__.py] [file a/b/__init__.py] [file FuNkY_CaSe/other.py] x = 1 [file mypy.ini] \[mypy] mypy_path = tmp/funky_case [case testCaseInsensitivityDirPyProjectTOML] # flags: --config-file tmp/pyproject.toml from a import B # E: Module "a" has no attribute "B" from other import x reveal_type(x) # N: Revealed type is "builtins.int" [file a/__init__.py] [file a/b/__init__.py] [file FuNkY_CaSe/other.py] x = 1 [file pyproject.toml] \[tool.mypy] mypy_path = "tmp/funky_case" [case testPreferPackageOverFileCase] # flags: --config-file tmp/mypy.ini import a [file funky/a.py] / # Deliberate syntax error, this file should not be parsed. [file FuNkY/a/__init__.py] pass [file mypy.ini] \[mypy] mypy_path = tmp/funky [case testPreferPackageOverFileCasePyProjectTOML] # flags: --config-file tmp/pyproject.toml import a [file funky/a.py] / # Deliberate syntax error, this file should not be parsed. [file FuNkY/a/__init__.py] pass [file pyproject.toml] \[tool.mypy] mypy_path = "tmp/funky" [case testNotPreferPackageOverFileCase] import a [file a.py] 'no'() # E: "str" not callable [file A/__init__.py] / # Deliberate syntax error, this file should not be parsed. [case testNamespacePackagePickFirstOnMypyPathCase] # flags: --namespace-packages --config-file tmp/mypy.ini from foo.bar import x reveal_type(x) # N: Revealed type is "builtins.int" [file XX/foo/bar.py] x = 0 [file yy/foo/bar.py] x = '' [file mypy.ini] \[mypy] mypy_path = tmp/xx, tmp/yy [case testNamespacePackagePickFirstOnMypyPathCasePyProjectTOML] # flags: --namespace-packages --config-file tmp/pyproject.toml from foo.bar import x reveal_type(x) # N: Revealed type is "builtins.int" [file XX/foo/bar.py] x = 0 [file yy/foo/bar.py] x = '' [file pyproject.toml] \[tool.mypy] mypy_path = ["tmp/xx", "tmp/yy"] [case testClassicPackageInsideNamespacePackageCase] # flags: --namespace-packages --config-file tmp/mypy.ini from foo.bar.baz.boo import x reveal_type(x) # N: Revealed type is "builtins.int" [file xx/foo/bar/baz/boo.py] x = '' [file xx/foo/bar/baz/__init__.py] [file yy/foo/bar/baz/boo.py] x = 0 [file yy/foo/bar/__init__.py] [file mypy.ini] \[mypy] mypy_path = TmP/xX, TmP/yY [case testClassicPackageInsideNamespacePackageCasePyProjectTOML] # flags: --namespace-packages --config-file tmp/pyproject.toml from foo.bar.baz.boo import x reveal_type(x) # N: Revealed type is "builtins.int" [file xx/foo/bar/baz/boo.py] x = '' [file xx/foo/bar/baz/__init__.py] [file yy/foo/bar/baz/boo.py] x = 0 [file yy/foo/bar/__init__.py] [file pyproject.toml] \[tool.mypy] mypy_path = ["TmP/xX", "TmP/yY"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-modules-fast.test0000644000175100017510000000426315112307767021510 0ustar00runnerrunner-- Type checker test cases dealing with module lookup edge cases -- to ensure that --fast-module-lookup matches regular lookup behavior [case testModuleLookup] # flags: --fast-module-lookup import m reveal_type(m.a) # N: Revealed type is "m.A" [file m.py] class A: pass a = A() [case testModuleLookupStub] # flags: --fast-module-lookup import m reveal_type(m.a) # N: Revealed type is "m.A" [file m.pyi] class A: pass a = A() [case testModuleLookupFromImport] # flags: --fast-module-lookup from m import a reveal_type(a) # N: Revealed type is "m.A" [file m.py] class A: pass a = A() [case testModuleLookupStubFromImport] # flags: --fast-module-lookup from m import a reveal_type(a) # N: Revealed type is "m.A" [file m.pyi] class A: pass a = A() [case testModuleLookupWeird] # flags: --fast-module-lookup from m import a reveal_type(a) # N: Revealed type is "builtins.object" reveal_type(a.b) # N: Revealed type is "m.a.B" [file m.py] class A: pass a = A() [file m/__init__.py] [file m/a.py] class B: pass b = B() [case testModuleLookupWeird2] # flags: --fast-module-lookup from m.a import b reveal_type(b) # N: Revealed type is "m.a.B" [file m.py] class A: pass a = A() [file m/__init__.py] [file m/a.py] class B: pass b = B() [case testModuleLookupWeird3] # flags: --fast-module-lookup from m.a import b reveal_type(b) # N: Revealed type is "m.a.B" [file m.py] class A: pass a = A() [file m/__init__.py] class B: pass a = B() [file m/a.py] class B: pass b = B() [case testModuleLookupWeird4] # flags: --fast-module-lookup import m.a m.a.b # E: "str" has no attribute "b" [file m.py] class A: pass a = A() [file m/__init__.py] class B: pass a = 'foo' b = B() [file m/a.py] class C: pass b = C() [case testModuleLookupWeird5] # flags: --fast-module-lookup import m.a as ma reveal_type(ma.b) # N: Revealed type is "m.a.C" [file m.py] class A: pass a = A() [file m/__init__.py] class B: pass a = 'foo' b = B() [file m/a.py] class C: pass b = C() [case testModuleLookupWeird6] # flags: --fast-module-lookup from m.a import b reveal_type(b) # N: Revealed type is "m.a.C" [file m.py] class A: pass a = A() [file m/__init__.py] class B: pass a = 'foo' b = B() [file m/a.py] class C: pass b = C() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-modules.test0000644000175100017510000023441415112307767020560 0ustar00runnerrunner-- Type checker test cases dealing with modules and imports. -- Towards the end there are tests for PEP 420 (namespace packages, i.e. __init__.py-less packages). [case testAccessImportedDefinitions0] import m import typing m.f() # E: Missing positional argument "a" in call to "f" m.f(object()) # E: Argument 1 to "f" has incompatible type "object"; expected "A" m.x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") m.f(m.A()) m.x = m.A() [file m.py] class A: pass def f(a: A) -> None: pass x = A() [case testAccessImportedDefinitions1] import m import typing m.f(object()) # E: Argument 1 to "f" has incompatible type "object"; expected "A" m.f(m.A()) [file m.py] class A: pass def f(a: A) -> None: pass [case testAccessImportedDefinitions2] from m import f, A import typing f(object()) # E: Argument 1 to "f" has incompatible type "object"; expected "A" f(A()) [file m.py] class A: pass def f(a: A) -> None: pass [case testImportedExceptionType] import m import typing try: pass except m.Err: pass except m.Bad: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass [file m.py] class Err(BaseException): pass class Bad: pass [builtins fixtures/exception.pyi] [case testImportedExceptionType2] from m import Err, Bad import typing try: pass except Err: pass except Bad: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass [file m.py] class Err(BaseException): pass class Bad: pass [builtins fixtures/exception.pyi] [case testImportWithinBlock] import typing if 1: import m m.a = m.b # E: Incompatible types in assignment (expression has type "B", variable has type "A") m.a = m.a m.f() m.f(m.a) # E: Too many arguments for "f" m.a = m.A() m.a = m.B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [file m.py] class A: pass class B: pass a = A() b = B() def f() -> None: pass [case testImportWithinFunction] import typing def f() -> None: from m import a, b, f, A, B if int(): a = b \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = a f() f(a) # E: Too many arguments for "f" a = A() a = B() \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") [file m.py] class A: pass class B: pass a = A() b = B() def f() -> None: pass [out] [case testImportWithinMethod] import typing class C: def f(self) -> None: from m import * if int(): a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = a f() f(a) # E: Too many arguments for "f" a = A() a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [file m.py] class A: pass class B: pass a = A() b = B() def f() -> None: pass [out] [case testImportWithinClassBody] import typing class C: import m m.f() m.f(C) # E: Too many arguments for "f" [file m.py] def f() -> None: pass [out] [case testImportWithinClassBody2] import typing class C: from m import f # E: Unsupported class scoped import f() # ideally, the following should error: f(C) [file m.py] def f() -> None: pass [out] [case testImportWithStub] import _m _m.f("hola") [file _m.pyi] def f(c:str) -> None: pass [out] [case testImportWithStubIncompatibleType] import _m _m.f("hola") _m.f(12) # E: Argument 1 to "f" has incompatible type "int"; expected "str" [file _m.py] def f(c): print(c) [file _m.pyi] def f(c:str) -> None: pass [case testInvalidOperationsOnModules] import m import typing class A: pass m() # E: Module not callable a = m # type: A # E: Incompatible types in assignment (expression has type Module, variable has type "A") m + None # E: Unsupported left operand type for + (Module) [file m.py] [builtins fixtures/module.pyi] [case testNameDefinedInDifferentModule] import m, n import typing m.x # E: Module has no attribute "x" [file m.py] y = object() [file n.py] x = object() [builtins fixtures/module.pyi] [case testChainedAssignmentAndImports] import m i: int s: str if int(): i = m.x if int(): i = m.y if int(): s = m.x # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): s = m.y # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file m.py] x = y = 1 [builtins fixtures/primitives.pyi] [case testConditionalFunctionDefinitionAndImports] import m import typing m.f(1) m.f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [file m.py] x = object() if x: def f(x: int) -> None: pass else: def f(x: int) -> None: pass [case testTypeCheckWithUnknownModule] import nonexistent None + '' [out] main:1: error: Cannot find implementation or library stub for module named "nonexistent" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Unsupported left operand type for + ("None") [case testTypeCheckWithUnknownModule2] import m, nonexistent None + '' m.x = 1 m.x = '' [file m.py] x = 1 [out] main:1: error: Cannot find implementation or library stub for module named "nonexistent" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Unsupported left operand type for + ("None") main:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testTypeCheckWithUnknownModule3] import nonexistent, m None + '' m.x = 1 m.x = '' [file m.py] x = 1 [out] main:1: error: Cannot find implementation or library stub for module named "nonexistent" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Unsupported left operand type for + ("None") main:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testTypeCheckWithUnknownModule4] import nonexistent, another None + '' [out] main:1: error: Cannot find implementation or library stub for module named "nonexistent" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "another" main:2: error: Unsupported left operand type for + ("None") [case testTypeCheckWithUnknownModule5] import nonexistent as x None + '' [out] main:1: error: Cannot find implementation or library stub for module named "nonexistent" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Unsupported left operand type for + ("None") [case testTypeCheckWithUnknownModuleUsingFromImport] from nonexistent import x None + '' [out] main:1: error: Cannot find implementation or library stub for module named "nonexistent" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Unsupported left operand type for + ("None") [case testTypeCheckWithUnknownModuleUsingImportStar] from nonexistent import * None + '' [out] main:1: error: Cannot find implementation or library stub for module named "nonexistent" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Unsupported left operand type for + ("None") [case testAccessingUnknownModule] import xyz xyz.foo() xyz() [out] main:1: error: Cannot find implementation or library stub for module named "xyz" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testAccessingUnknownModule2] import xyz, bar xyz.foo() bar() [out] main:1: error: Cannot find implementation or library stub for module named "xyz" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "bar" [case testAccessingUnknownModule3] import xyz as z xyz.foo() z() [out] main:1: error: Cannot find implementation or library stub for module named "xyz" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Name "xyz" is not defined [case testAccessingNameImportedFromUnknownModule] from xyz import y, z y.foo() z() [out] main:1: error: Cannot find implementation or library stub for module named "xyz" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testAccessingNameImportedFromUnknownModule2] from xyz import * y [out] main:1: error: Cannot find implementation or library stub for module named "xyz" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Name "y" is not defined [case testAccessingNameImportedFromUnknownModule3] from xyz import y as z y z [out] main:1: error: Cannot find implementation or library stub for module named "xyz" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Name "y" is not defined [case testUnknownModuleRedefinition] # Error messages differ with the new analyzer import xab # E: Cannot find implementation or library stub for module named "xab" # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports def xab(): pass # E: Name "xab" already defined (possibly by an import) [case testAccessingUnknownModuleFromOtherModule] import x x.nonexistent.foo x.z [file x.py] import nonexistent [builtins fixtures/module.pyi] [out] tmp/x.py:1: error: Cannot find implementation or library stub for module named "nonexistent" tmp/x.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:3: error: Module has no attribute "z" [case testUnknownModuleImportedWithinFunction] def f(): import foobar def foobar(): pass foobar('') [out] main:2: error: Cannot find implementation or library stub for module named "foobar" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:4: error: Too many arguments for "foobar" [case testUnknownModuleImportedWithinFunction2] def f(): from foobar import x def x(): pass x('') [out] main:2: error: Cannot find implementation or library stub for module named "foobar" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:4: error: Too many arguments for "x" [case testRelativeImports] import typing import m.a m.a.x = m.a.y # Error [file m/__init__.py] [file m/a.py] import typing from .b import A, B, x, y z = x if int(): z = y # Error [file m/b.py] import typing class A: pass class B: pass x = A() y = B() [out] tmp/m/a.py:5: error: Incompatible types in assignment (expression has type "B", variable has type "A") main:3: error: Incompatible types in assignment (expression has type "B", variable has type "A") [case testRelativeImports2] import typing import m.a m.a.x = m.a.y # E: Incompatible types in assignment (expression has type "B", variable has type "A") [file m/__init__.py] [file m/a.py] import typing from .b import A, B, x, y [file m/b.py] import typing class A: pass class B: pass x = A() y = B() [case testExportedValuesInImportAll] import typing from m import * _ = a _ = b _ = c _ = d _ = e # E: Name "e" is not defined _ = f _ = _g # E: Name "_g" is not defined [file m.py] __all__ = ['a'] __all__ += ('b',) __all__.append('c') __all__.extend(('d', 'e', 'f')) __all__.remove('e') a = b = c = d = e = f = _g = 1 [builtins fixtures/module_all.pyi] [case testAllMustBeSequenceStr] import typing __all__ = [1, 2, 3] [builtins fixtures/module_all.pyi] [out] main:2: error: List item 0 has incompatible type "int"; expected "str" main:2: error: List item 1 has incompatible type "int"; expected "str" main:2: error: List item 2 has incompatible type "int"; expected "str" [case testAllMustBeSequenceStr2] import typing __all__ = 1 # E: Type of __all__ must be "Sequence[str]", not "int" reveal_type(__all__) # N: Revealed type is "builtins.int" [builtins fixtures/module_all.pyi] [case testAllMustBeSequenceStr3] import typing __all__ = set() # E: Need type annotation for "__all__" (hint: "__all__: set[] = ...") \ # E: Type of __all__ must be "Sequence[str]", not "set[Any]" reveal_type(__all__) # N: Revealed type is "builtins.set[Any]" [builtins fixtures/set.pyi] [case testModuleAllEmptyList] __all__ = [] reveal_type(__all__) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/module_all.pyi] [case testDunderAllNotGlobal] class A: __all__ = 1 def foo() -> None: __all__ = 1 [builtins fixtures/module_all.pyi] [case testUnderscoreExportedValuesInImportAll] import typing from m import * _ = a _ = _b _ = __c__ _ = ___d _ = e _ = f # E: Name "f" is not defined _ = _g # E: Name "_g" is not defined [file m.py] __all__ = ['a'] __all__ += ('_b',) __all__.append('__c__') __all__.extend(('___d', 'e')) a = _b = __c__ = ___d = e = f = _g = 1 [builtins fixtures/module_all.pyi] [case testEllipsisInitializerInStubFileWithType] import m m.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file m.pyi] x = ... # type: int [case testEllipsisInitializerInStubFileWithoutType] import m m.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "ellipsis") [file m.pyi] # Ellipsis is only special with a # type: comment (not sure though if this is great) x = ... [case testEllipsisInitializerInModule] x = ... # type: int # E: Incompatible types in assignment (expression has type "ellipsis", variable has type "int") [case testEllipsisDefaultArgValueInStub] import m m.f(1) m.f('') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [file m.pyi] def f(x: int = ...) -> None: pass [case testEllipsisDefaultArgValueInStub2] import m def f1(x: int = ...) -> int: return 1 def f2(x: int = '') -> int: return 1 [file m.pyi] def g1(x: int = ...) -> int: pass def g2(x: int = '') -> int: pass [out] tmp/m.pyi:2: error: Incompatible default for argument "x" (default has type "str", argument has type "int") main:2: error: Incompatible default for argument "x" (default has type "ellipsis", argument has type "int") main:3: error: Incompatible default for argument "x" (default has type "str", argument has type "int") [case testEllipsisDefaultArgValueInNonStub] def ok_1(x: int = ...) -> None: pass def ok_2(x: int = ...) -> None: ... def ok_3(x: int = ...) -> None: raise NotImplementedError def ok_4(x: int = ...) -> None: raise NotImplementedError() def ok_5(x: int = ...) -> None: """Docstring here""" pass def bad_1(x: int = ...) -> None: 1 # E: Incompatible default for argument "x" (default has type "ellipsis", argument has type "int") def bad_2(x: int = ...) -> None: # E: Incompatible default for argument "x" (default has type "ellipsis", argument has type "int") """Docstring here""" ok_1() def bad_3(x: int = ...) -> None: # E: Incompatible default for argument "x" (default has type "ellipsis", argument has type "int") raise Exception("Some other exception") [builtins fixtures/exception.pyi] [out] [case testEllipsisDefaultArgValueInNonStubsOverload] from typing import overload, Union Both = Union[int, str] @overload def foo(x: int, y: int = ...) -> int: ... @overload def foo(x: str, y: str = ...) -> str: ... def foo(x: Both, y: Both = ...) -> Both: # E: Incompatible default for argument "y" (default has type "ellipsis", argument has type "Union[int, str]") return x @overload def bar(x: int, y: int = ...) -> int: ... @overload def bar(x: str, y: str = ...) -> str: ... def bar(x: Both, y: Both = ...) -> Both: raise NotImplementedError [builtins fixtures/exception.pyi] [out] [case testEllipsisDefaultArgValueInNonStubsMethods] from typing import Generic, Protocol, TypeVar from abc import abstractmethod T = TypeVar('T') class Wrap(Generic[T]): ... class MyProtocol(Protocol): def no_impl(self, x: Wrap[int] = ...) -> int: ... def default_impl(self, x: Wrap[int] = ...) -> int: return 3 # E: Incompatible default for argument "x" (default has type "ellipsis", argument has type "Wrap[int]") class MyAbstractClass: @abstractmethod def no_impl(self, x: Wrap[int] = ...) -> int: raise NotImplementedError @abstractmethod def default_impl(self, x: Wrap[int] = ...) -> int: return 3 # E: Incompatible default for argument "x" (default has type "ellipsis", argument has type "Wrap[int]") [builtins fixtures/exception.pyi] [out] [case testStarImportOverlapping] from m1 import * from m2 import * j = '' [file m1.py] x = 1 [file m2.py] x = 1 [case testStarImportOverlappingMismatch] from m1 import * from m2 import * # E: Incompatible import of "x" (imported name has type "int", local name has type "str") j = '' [file m1.py] x = '' [file m2.py] x = 1 [case testStarImportOverridingLocalImports] from m1 import * from m2 import * x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file m1.py] x = 1 [file m2.py] x = 1 [case testAssignToFuncDefViaImport] # Errors differ with the new analyzer. (Old analyzer gave error on the # input, which is maybe better, but no error about f, which seems # wrong) from m import * f = None # E: Incompatible types in assignment (expression has type "None", variable has type "Callable[[], Any]") x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file m.py] def f(): pass x = 1+0 [out] -- Conditional definitions and function redefinitions via module object -- -------------------------------------------------------------------- [case testConditionalImportAndAssign] # flags: --no-strict-optional try: from m import x except: x = None try: from m import x as y except: y = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file m.py] x = '' [case testAssignAndConditionalImport] x = '' try: from m import x except: pass y = 1 try: from m import x as y # E: Incompatible import of "y" (imported name has type "str", local name has type "int") except: pass [file m.py] x = '' [case testAssignAndConditionalStarImport] x = '' y = 1 try: from m import * # E: Incompatible import of "y" (imported name has type "str", local name has type "int") except: pass [file m.py] x = '' y = '' [case testRedefineImportedFunctionViaImport] try: from m import f, g except: def f(x): pass def g(x): pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def g(x: Any, y: Any) -> Any \ # N: Redefinition: \ # N: def g(x: Any) -> Any [file m.py] def f(x): pass def g(x, y): pass [case testImportedVariableViaImport] try: from m import x except: from n import x # E: Incompatible import of "x" (imported name has type "str", local name has type "int") [file m.py] x = 1 [file n.py] x = '' [case testRedefineFunctionViaImport] def f(x): pass def g(x): pass try: from m import f, g # E: Incompatible import of "g" (imported name has type "Callable[[Any, Any], Any]", local name has type "Callable[[Any], Any]") except: pass import m as f # E: Incompatible import of "f" (imported name has type "object", local name has type "Callable[[Any], Any]") [file m.py] def f(x): pass def g(x, y): pass [case testRedefineTypeViaImport] from typing import Type import mod X: Type[mod.A] Y: Type[mod.B] from mod import B as X from mod import A as Y # E: Incompatible import of "Y" (imported name has type "type[A]", local name has type "type[B]") import mod as X # E: Incompatible import of "X" (imported name has type "object", local name has type "type[A]") [file mod.py] class A: ... class B(A): ... [case testImportVariableAndAssignNone] # flags: --no-strict-optional try: from m import x except: x = None [file m.py] x = 1 [case testImportFunctionAndAssignNone] # flags: --no-strict-optional try: from m import f except: f = None [file m.py] def f(): pass [case testImportFunctionAndAssignFunction] def g(x): pass try: from m import f except: f = g [file m.py] def f(x): pass [case testImportFunctionAndAssignIncompatible] try: from m import f except: f = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Callable[[], Any]") [file m.py] def f(): pass [case testAssignToFuncDefViaGlobalDecl2] # flags: --no-strict-optional import typing from m import f def g() -> None: global f f = None if int(): f = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Callable[[], Any]") [file m.py] def f(): pass [out] [case testAssignToFuncDefViaNestedModules] # flags: --no-strict-optional import m.n m.n.f = None m.n.f = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Callable[[], Any]") [file m/__init__.py] [file m/n.py] def f(): pass [out] [case testAssignToFuncDefViaModule] # flags: --no-strict-optional import m m.f = None m.f = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Callable[[], Any]") [file m.py] def f(): pass [out] [case testConditionalImportAndAssignNoneToModule] # flags: --no-strict-optional if object(): import m else: m = None m.f(1) # E: Argument 1 to "f" has incompatible type "int"; expected "str" [file m.py] def f(x: str) -> None: pass [builtins fixtures/module.pyi] [out] [case testConditionalImportAndAssignInvalidToModule] if object(): import m else: m = 1 # E: Incompatible types in assignment (expression has type "int", variable has type Module) [file m.py] [builtins fixtures/module.pyi] [out] [case testImportAndAssignToModule] # flags: --no-strict-optional import m m = None m.f(1) # E: Argument 1 to "f" has incompatible type "int"; expected "str" [file m.py] def f(x: str) -> None: pass [builtins fixtures/module.pyi] [out] -- Test cases that simulate 'mypy -m modname' -- -- The module name to import is encoded in a comment. [case testTypeCheckNamedModule] # cmd: mypy -m m.a [file m/__init__.py] None + 1 [file m/a.py] [out] tmp/m/__init__.py:1: error: Unsupported left operand type for + ("None") [case testTypeCheckNamedModule2] # cmd: mypy -m m.a [file m/__init__.py] [file m/a.py] None + 1 [out] tmp/m/a.py:1: error: Unsupported left operand type for + ("None") [case testTypeCheckNamedModule3] # cmd: mypy -m m [file m/__init__.py] None + 1 [file m/a.py] [out] tmp/m/__init__.py:1: error: Unsupported left operand type for + ("None") [case testTypeCheckNamedModule4] # cmd: mypy -m m [file m/__init__.py] [file m/a.py] None + 1 # Not analyzed. [out] [case testTypeCheckNamedModule5] # cmd: mypy -m m None + '' # Not analyzed. [file m.py] None + 1 [out] tmp/m.py:1: error: Unsupported left operand type for + ("None") [case testTypeCheckNamedModuleWithImportCycle] # cmd: mypy -m m.a None + 1 # Does not generate error, as this file won't be analyzed. [file m/__init__.py] import m.a [file m/a.py] [out] [case testCheckDecoratedFuncAsAnnotWithImportCycle] import a [file a.py] from typing import TypeVar import b T = TypeVar('T') def idf(x: T) -> T: return x @idf def Session() -> None: pass [file b.py] MYPY = False if MYPY: from a import Session def f(self, session: Session) -> None: # E: Function "a.Session" is not valid as a type \ # N: Perhaps you need "Callable[...]" or a callback protocol? pass [builtins fixtures/bool.pyi] -- Checks dealing with submodules and different kinds of imports -- ------------------------------------------------------------- [case testSubmoduleRegularImportAddsAllParents] import a.b.c reveal_type(a.value) # N: Revealed type is "builtins.int" reveal_type(a.b.value) # N: Revealed type is "builtins.str" reveal_type(a.b.c.value) # N: Revealed type is "builtins.float" b.value # E: Name "b" is not defined c.value # E: Name "c" is not defined [file a/__init__.py] value = 3 [file a/b/__init__.py] value = "a" [file a/b/c.py] value = 3.2 [out] [case testSubmoduleImportAsDoesNotAddParents] import a.b.c as foo reveal_type(foo.value) # N: Revealed type is "builtins.float" a.value # E: Name "a" is not defined b.value # E: Name "b" is not defined c.value # E: Name "c" is not defined [file a/__init__.py] value = 3 [file a/b/__init__.py] value = "a" [file a/b/c.py] value = 3.2 [out] [case testSubmoduleImportFromDoesNotAddParents] from a import b reveal_type(b.value) # N: Revealed type is "builtins.str" b.c.value # E: Module has no attribute "c" a.value # E: Name "a" is not defined [file a/__init__.py] value = 3 [file a/b/__init__.py] value = "a" [file a/b/c.py] value = 3.2 [builtins fixtures/module.pyi] [out] [case testSubmoduleImportFromDoesNotAddParents2] from a.b import c reveal_type(c.value) # N: Revealed type is "builtins.float" a.value # E: Name "a" is not defined b.value # E: Name "b" is not defined [file a/__init__.py] value = 3 [file a/b/__init__.py] value = "a" [file a/b/c.py] value = 3.2 [out] [case testSubmoduleRegularImportNotDirectlyAddedToParent] import a.b.c def accept_float(x: float) -> None: pass accept_float(a.b.c.value) [file a/__init__.py] value = 3 b.value a.b.value [file a/b/__init__.py] value = "a" c.value a.b.c.value [file a/b/c.py] value = 3.2 [out] tmp/a/__init__.py:2: error: Name "b" is not defined tmp/a/__init__.py:3: error: Name "a" is not defined tmp/a/b/__init__.py:2: error: Name "c" is not defined tmp/a/b/__init__.py:3: error: Name "a" is not defined [case testSubmoduleMixingLocalAndQualifiedNames] from a.b import MyClass val1: a.b.MyClass # E: Name "a" is not defined val2: MyClass [file a/__init__.py] [file a/b.py] class MyClass: pass [out] [case testSubmoduleMixingImportFrom] import parent.child [file parent/__init__.py] [file parent/common.py] class SomeClass: pass [file parent/child.py] from parent.common import SomeClass from parent import common foo = parent.common.SomeClass() [builtins fixtures/module.pyi] [out] tmp/parent/child.py:3: error: Name "parent" is not defined [case testSubmoduleMixingImportFromAndImport] import parent.child [file parent/__init__.py] [file parent/common.py] class SomeClass: pass [file parent/unrelated.py] class ShouldNotLoad: pass [file parent/child.py] from parent.common import SomeClass import parent # Note, since this might be unintuitive -- when `parent.common` is loaded in any way, # shape, or form, it's added to `parent`'s namespace, which is why the below line # succeeds. foo = parent.common.SomeClass() reveal_type(foo) bar = parent.unrelated.ShouldNotLoad() [builtins fixtures/module.pyi] [out] tmp/parent/child.py:8: note: Revealed type is "parent.common.SomeClass" tmp/parent/child.py:9: error: Module has no attribute "unrelated" [case testSubmoduleMixingImportFromAndImport2] import parent.child [file parent/__init__.py] [file parent/common.py] class SomeClass: pass [file parent/child.py] from parent import common import parent foo = parent.common.SomeClass() reveal_type(foo) [builtins fixtures/module.pyi] [out] tmp/parent/child.py:4: note: Revealed type is "parent.common.SomeClass" -- Tests repeated imports [case testIdenticalImportFromTwice] from a import x, y, z from b import x, y, z [file a.py] from common import x, y, z [file b.py] from common import x, y, z [file common.py] x = 3 def y() -> int: return 3 class z: pass [out] [case testIdenticalImportStarTwice] from a import * from b import * [file a.py] from common import x, y, z [file b.py] from common import x, y, z [file common.py] x = 3 def y() -> int: return 3 class z: pass [out] [case testDifferentImportSameNameTwice] from a import x, y, z from b import x, y, z [file a.py] x = 3 def y() -> int: return 1 class z: pass [file b.py] x = "foo" def y() -> str: return "foo" class z: pass [out] main:2: error: Incompatible import of "x" (imported name has type "str", local name has type "int") main:2: error: Incompatible import of "y" (imported name has type "Callable[[], str]", local name has type "Callable[[], int]") main:2: error: Incompatible import of "z" (imported name has type "type[b.z]", local name has type "type[a.z]") -- Misc [case testInheritFromBadImport] # cmd: mypy -m bar [file foo.py] pass [file bar.py] from foo import B class C(B): pass [out] tmp/bar.py:1: error: Module "foo" has no attribute "B" [case testImportSuppressedWhileAlmostSilent] # cmd: mypy -m main # flags: --follow-imports=error [file main.py] import mod [file mod.py] [builtins fixtures/module.pyi] [out] tmp/main.py:1: error: Import of "mod" ignored tmp/main.py:1: note: (Using --follow-imports=error, module not passed on command line) [case testAncestorSuppressedWhileAlmostSilent] # cmd: mypy -m foo.bar # flags: --follow-imports=error [file foo/bar.py] [file foo/__init__.py] [builtins fixtures/module.pyi] [out] tmp/foo/bar.py: error: Ancestor package "foo" ignored tmp/foo/bar.py: note: (Using --follow-imports=error, submodule passed on command line) [case testStubImportNonStubWhileSilent] # cmd: mypy -m main # flags: --follow-imports=skip [file main.py] from stub import x, z # Followed from other import y # Not followed x + '' # No error here y + '' # No error here z + '' # Error here [file stub.pyi] from non_stub import x as x # this import is not followed z = 42 [file non_stub.py] x = 42 x + '' # no error because file is not analyzed [file other.py] y = 42 [builtins fixtures/module.pyi] [out] tmp/main.py:5: error: Unsupported left operand type for + ("int") [case testSilentSubmoduleImport] # cmd: mypy -m foo # flags: --follow-imports=skip [file foo/__init__.py] from foo import bar [file foo/bar.py] pass [case testImportReExportFromChildrenInCycle1] # cmd: mypy -m project.root project.study.a project.neighbor [file project/__init__.py] from project.study import CustomType x = 10 [file project/root.py] [file project/study/__init__.py] from project.study.a import CustomType [file project/study/a.py] from project import root # TODO (#4498): This test is basically testing the `all_are_submodules` logic # in build, which skips generating a dependency to a module if # everything in it is a submodule. But that is still all just a # workaround for bugs in cycle handling. If we uncomment the next # line, we'll still break: # from project import x CustomType = str [file project/neighbor/__init__.py] from project.study import CustomType def m(arg: CustomType) -> str: return 'test' [case testImportReExportFromChildrenInCycle2] # cmd: mypy -m project project.b project.ba project.c # See comments in above test about this being a workaround. [file foo.py] def get_foo() -> int: return 12 [file project/ba.py] from . import b b.FOO [file project/b.py] import foo from . import c FOO = foo.get_foo() [file project/c.py] [file project/__init__.py] from . import ba [case testSuperclassInImportCycle] import a import d a.A().f(d.D()) [file a.py] if 0: import d class B: pass class C(B): pass class A: def f(self, x: B) -> None: pass [file d.py] import a class D(a.C): pass [case testSuperclassInImportCycleReversedImports] import d import a a.A().f(d.D()) [file a.py] if 0: import d class B: pass class C(B): pass class A: def f(self, x: B) -> None: pass [file d.py] import a class D(a.C): pass [case testPreferPackageOverFile] import a [file a.py] / # intentional syntax error -- this file shouldn't be parsed [file a/__init__.py] pass [out] [case testPreferPackageOverFile2] from a import x [file a.py] / # intentional syntax error -- this file shouldn't be parsed [file a/__init__.py] x = 0 [out] [case testImportInClass] class C: import foo reveal_type(C.foo.bar) # N: Revealed type is "builtins.int" [file foo.py] bar = 0 [builtins fixtures/module.pyi] [out] [case testIfFalseImport] if False: import a def f(x: 'a.A') -> int: return x.f() [file a.py] class A: def f(self) -> int: return 0 [builtins fixtures/bool.pyi] -- Test stability under import cycles -- ---------------------------------- -- The first two tests are identical except one main has 'import x' -- and the other 'import y'. Previously (before build.order_ascc() -- was added) one of these would fail because the imports were -- processed in the (reverse) order in which the files were -- encountered. [case testImportCycleStability1] import x [file x.py] def f() -> str: return '' class Base: attr = f() def foo(): import y [file y.py] import x class Sub(x.Base): attr = x.Base.attr [out] [case testImportCycleStability2] import y [file x.py] def f() -> str: return '' class Base: attr = f() def foo(): import y [file y.py] import x class Sub(x.Base): attr = x.Base.attr [out] -- This case isn't fixed by order_ascc(), but is fixed by the -- lightweight type inference added to semanal.py -- (analyze_simple_literal_type()). [case testImportCycleStability3] import y [file x.py] class Base: pass def foo() -> int: import y reveal_type(y.Sub.attr) return y.Sub.attr [file y.py] import x class Sub(x.Base): attr = 0 [out] tmp/x.py:5: note: Revealed type is "builtins.int" -- This case has a symmetrical cycle, so it doesn't matter in what -- order the files are processed. It depends on the lightweight type -- interference. [case testImportCycleStability4] import x [file x.py] import y class C: attr = '' def foo() -> int: return y.D.attr [file y.py] import x class D: attr = 0 def bar() -> str: return x.C.attr -- These cases test all supported literal types. [case testImportCycleStability5] import y [file x.py] class Base: pass def foo() -> None: import y i = y.Sub.iattr # type: int f = y.Sub.fattr # type: float s = y.Sub.sattr # type: str b = y.Sub.battr # type: bytes [file y.py] import x class Sub(x.Base): iattr = 0 fattr = 0.0 sattr = '' battr = b'' [out] -- This case tests module-level variables. [case testImportCycleStability7] import x [file x.py] def foo() -> int: import y reveal_type(y.value) return y.value [file y.py] import x value = 12 [out] tmp/x.py:3: note: Revealed type is "builtins.int" -- This is not really cycle-related but still about the lightweight -- type checker. [case testImportCycleStability8] x = 1 # type: str reveal_type(x) [out] main:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") main:2: note: Revealed type is "builtins.str" -- Tests for cross-module second_pass checking. [case testSymmetricImportCycle1] import a [file a.py] import b def f() -> int: return b.x y = 0 + int() [file b.py] import a def g() -> int: reveal_type(a.y) return a.y x = 1 + int() [out] tmp/b.py:3: note: Revealed type is "builtins.int" [case testSymmetricImportCycle2] import b [file a.py] import b def f() -> int: reveal_type(b.x) return b.x y = 0 + int() [file b.py] import a def g() -> int: return a.y x = 1 + int() [out] tmp/a.py:3: note: Revealed type is "builtins.int" [case testThreePassesRequired] import b [file a.py] import b class C: def f1(self) -> None: reveal_type(self.x2) def f2(self) -> None: self.x2 = b.b [file b.py] import a b = 1 + int() [out] tmp/a.py:4: note: Revealed type is "builtins.int" [case testErrorInPassTwo1] import b [file a.py] import b def f() -> None: a = b.x + 1 a + '' [file b.py] import a x = 1 + int() [out] tmp/a.py:4: error: Unsupported operand types for + ("int" and "str") [case testErrorInPassTwo2] import a [file a.py] import b def f() -> None: a = b.x + 1 a + '' [file b.py] import a x = 1 + int() [out] tmp/a.py:4: error: Unsupported operand types for + ("int" and "str") [case testDeferredDecorator] import a [file a.py] import b def g() -> None: f('') @b.deco def f(a: str) -> int: pass reveal_type(f) x = 1 + int() [file b.py] from typing import Callable, TypeVar import a T = TypeVar('T') def deco(f: Callable[[T], int]) -> Callable[[T], int]: a.x return f [out] tmp/a.py:6: note: Revealed type is "def (builtins.str) -> builtins.int" [case testDeferredClassContext] class A: def f(self) -> str: return 'foo' class B(A): def f(self) -> str: return self.x def initialize(self) -> None: self.x = 'bar' [case testDeferredClassContextUnannotated] class A: def f(self) -> str: return 'foo' class B(A): def f(self) -> str: return self.x def initialize(self): self.x = 'bar' -- Scripts and __main__ [case testScriptsAreModules] # flags: --scripts-are-modules [file a] pass [file b] pass -- Misc [case testScriptsAreNotModules] # cmd: mypy a b [file a] pass [file b] pass [out] [case testTypeCheckPrio] # cmd: mypy -m part1 part2 part3 part4 [file part1.py] from part3 import Thing class FirstThing: pass [file part2.py] from part4 import part4_thing as Thing [file part3.py] from part2 import Thing reveal_type(Thing) [file part4.py] from typing import TYPE_CHECKING if TYPE_CHECKING: from part1 import FirstThing def part4_thing(a: int) -> str: pass [builtins fixtures/bool.pyi] [typing fixtures/typing-medium.pyi] [out] tmp/part3.py:2: note: Revealed type is "def (a: builtins.int) -> builtins.str" [case testImportStarAliasAnyList] import bar [file bar.py] from foo import * def bar(y: AnyAlias) -> None: pass l: ListAlias[int] reveal_type(l) [file foo.py] from typing import Any, List AnyAlias = Any ListAlias = List [builtins fixtures/list.pyi] [out] tmp/bar.py:5: note: Revealed type is "builtins.list[builtins.int]" [case testImportStarAliasSimpleGeneric] from ex2a import * def do_something(dic: Row) -> None: pass def do_another() -> Row: return {} do_something({'good': 'bad'}) # E: Dict entry 0 has incompatible type "str": "str"; expected "str": "int" reveal_type(do_another()) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" [file ex2a.py] from typing import Dict Row = Dict[str, int] [builtins fixtures/dict.pyi] [out] [case testImportStarAliasGeneric] from y import * notes: G[X] another = G[X]() second = XT[str]() last = XT[G]() reveal_type(notes) # N: Revealed type is "y.G[y.G[builtins.int]]" reveal_type(another) # N: Revealed type is "y.G[y.G[builtins.int]]" reveal_type(second) # N: Revealed type is "y.G[builtins.str]" reveal_type(last) # N: Revealed type is "y.G[y.G[Any]]" [file y.py] from typing import Generic, TypeVar T = TypeVar('T') class G(Generic[T]): pass X = G[int] XT = G[T] [out] [case testImportStarAliasCallable] from foo import * from typing import Any def bar(x: Any, y: AnyCallable) -> Any: return 'foo' cb: AnyCallable reveal_type(cb) # N: Revealed type is "def (*Any, **Any) -> Any" [file foo.py] from typing import Callable, Any AnyCallable = Callable[..., Any] [out] [case testRevealType] import types def f() -> types.ModuleType: return types reveal_type(f()) # N: Revealed type is "types.ModuleType" reveal_type(types) # N: Revealed type is "types.ModuleType" [builtins fixtures/module.pyi] [typing fixtures/typing-full.pyi] [case testClassImportAccessedInMethod] class C: import m def foo(self) -> None: x = self.m.a reveal_type(x) # N: Revealed type is "builtins.str" # ensure we distinguish self from other variables y = 'hello' z = y.m.a # E: "str" has no attribute "m" @classmethod def cmethod(cls) -> None: y = cls.m.a reveal_type(y) # N: Revealed type is "builtins.str" @staticmethod def smethod(foo: int) -> None: # we aren't confused by first arg of a staticmethod y = foo.m.a # E: "int" has no attribute "m" [file m.py] a = 'foo' [builtins fixtures/module.pyi] [case testModuleAlias] import m m2 = m reveal_type(m2.a) # N: Revealed type is "builtins.str" m2.b # E: Module has no attribute "b" m2.c = 'bar' # E: Module has no attribute "c" [file m.py] a = 'foo' [builtins fixtures/module.pyi] [case testClassModuleAlias] import m class C: x = m def foo(self) -> None: reveal_type(self.x.a) # N: Revealed type is "builtins.str" [file m.py] a = 'foo' [builtins fixtures/module.pyi] [case testLocalModuleAlias] import m def foo() -> None: x = m reveal_type(x.a) # N: Revealed type is "builtins.str" class C: def foo(self) -> None: x = m reveal_type(x.a) # N: Revealed type is "builtins.str" [file m.py] a = 'foo' [builtins fixtures/module.pyi] [case testChainedModuleAlias] import m m3 = m2 = m m4 = m3 m5 = m4 reveal_type(m2.a) # N: Revealed type is "builtins.str" reveal_type(m3.a) # N: Revealed type is "builtins.str" reveal_type(m4.a) # N: Revealed type is "builtins.str" reveal_type(m5.a) # N: Revealed type is "builtins.str" [file m.py] a = 'foo' [builtins fixtures/module.pyi] [case testMultiModuleAlias] import m, n m2, n2, (m3, n3) = m, n, [m, n] reveal_type(m2.a) # N: Revealed type is "builtins.str" reveal_type(n2.b) # N: Revealed type is "builtins.str" reveal_type(m3.a) # N: Revealed type is "builtins.str" reveal_type(n3.b) # N: Revealed type is "builtins.str" x, y = m # E: Module object is not iterable x, y, z = m, n # E: Need more than 2 values to unpack (3 expected) x, y = m, m, m # E: Too many values to unpack (2 expected, 3 provided) x, (y, z) = m, n # E: Module object is not iterable x, (y, z) = m, (n, n, n) # E: Too many values to unpack (2 expected, 3 provided) [file m.py] a = 'foo' [file n.py] b = 'bar' [builtins fixtures/module.pyi] [case testModuleAliasWithExplicitAnnotation] from typing import Any import types import m mod_mod: types.ModuleType = m mod_mod2: types.ModuleType mod_mod2 = m mod_mod3 = m # type: types.ModuleType mod_any: Any = m mod_int: int = m # E: Incompatible types in assignment (expression has type Module, variable has type "int") reveal_type(mod_mod) # N: Revealed type is "types.ModuleType" reveal_type(mod_mod.a) # N: Revealed type is "Any" reveal_type(mod_mod2) # N: Revealed type is "types.ModuleType" reveal_type(mod_mod2.a) # N: Revealed type is "Any" reveal_type(mod_mod3) # N: Revealed type is "types.ModuleType" reveal_type(mod_mod3.a) # N: Revealed type is "Any" reveal_type(mod_any) # N: Revealed type is "Any" [file m.py] a = 'foo' [builtins fixtures/module.pyi] [case testModuleAliasPassedToFunction] import types import m def takes_module(x: types.ModuleType): reveal_type(x.__file__) # N: Revealed type is "builtins.str" n = m takes_module(m) takes_module(n) [file m.py] a = 'foo' [builtins fixtures/module.pyi] [case testModuleAliasRepeated] import m, n if bool(): x = m else: x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type Module) if bool(): y = 3 else: y = m # E: Incompatible types in assignment (expression has type Module, variable has type "int") if bool(): z = m else: z = n # E: Cannot assign multiple modules to name "z" without explicit "types.ModuleType" annotation [file m.py] a = 'foo' [file n.py] a = 3 [builtins fixtures/module.pyi] [case testModuleAliasRepeatedWithAnnotation] import types import m, n x: types.ModuleType if bool(): x = m else: x = n reveal_type(x.nope) # N: Revealed type is "Any" reveal_type(x.__file__) # N: Revealed type is "builtins.str" [file m.py] a = 'foo' [file n.py] a = 3 [builtins fixtures/module.pyi] [case testModuleAliasRepeatedComplex] import m, n, o x = m if int(): x = n # E: Cannot assign multiple modules to name "x" without explicit "types.ModuleType" annotation if int(): x = o # E: Cannot assign multiple modules to name "x" without explicit "types.ModuleType" annotation y = o if int(): y, z = m, n # E: Cannot assign multiple modules to name "y" without explicit "types.ModuleType" annotation xx = m if int(): xx = m reveal_type(xx.a) # N: Revealed type is "builtins.str" [file m.py] a = 'foo' [file n.py] a = 3 [file o.py] a = 'bar' [builtins fixtures/module.pyi] [case testModuleAliasToOtherModule] import m, n m = n # E: Cannot assign multiple modules to name "m" without explicit "types.ModuleType" annotation [file m.py] [file n.py] [builtins fixtures/module.pyi] [case testNoReExportFromStubs] from stub import Iterable # E: Module "stub" does not explicitly export attribute "Iterable" from stub import D # E: Module "stub" does not explicitly export attribute "D" from stub import C from stub import foo from stub import bar # E: Module "stub" does not explicitly export attribute "bar" c = C() reveal_type(c.x) # N: Revealed type is "builtins.int" it: Iterable[int] reveal_type(it) # N: Revealed type is "typing.Iterable[builtins.int]" [file stub.pyi] from typing import Iterable from substub import C as C from substub import C as D from package import foo as foo import package.bar as bar def fun(x: Iterable[str]) -> Iterable[int]: pass [file substub.pyi] class C: x: int [file package/foo.pyi] [file package/bar.pyi] [builtins fixtures/module.pyi] [case testNoReExportFromStubsMemberType] import stub c = stub.C() reveal_type(c.x) # N: Revealed type is "builtins.int" it: stub.Iterable[int] # E: Name "stub.Iterable" is not defined reveal_type(it) # N: Revealed type is "Any" [file stub.pyi] from typing import Iterable from substub import C as C def fun(x: Iterable[str]) -> Iterable[int]: pass [file substub.pyi] class C: x: int [builtins fixtures/module.pyi] [case testNoReExportFromStubsMemberVar] import stub reveal_type(stub.y) # N: Revealed type is "builtins.int" reveal_type(stub.z) # E: Module "stub" does not explicitly export attribute "z" \ # N: Revealed type is "builtins.int" [file stub.pyi] from substub import y as y from substub import z [file substub.pyi] y = 42 z: int [builtins fixtures/module.pyi] [case testReExportChildStubs] import mod from mod import submod reveal_type(mod.x) # N: Revealed type is "mod.submod.C" y = submod.C() reveal_type(y.a) # N: Revealed type is "builtins.str" [file mod/__init__.pyi] from . import submod x: submod.C [file mod/submod.pyi] class C: a: str [builtins fixtures/module.pyi] [case testReExportChildStubs2] import mod.submod y = mod.submod.C() reveal_type(y.a) # N: Revealed type is "builtins.str" [file mod/__init__.pyi] from . import submod x: submod.C [file mod/submod.pyi] class C: a: str [builtins fixtures/module.pyi] [case testReExportChildStubs3] from util import mod reveal_type(mod) # N: Revealed type is "def () -> package.mod.mod" from util import internal_detail # E: Module "util" does not explicitly export attribute "internal_detail" [file package/__init__.pyi] from .mod import mod as mod [file package/mod.pyi] class mod: ... [file util.pyi] from package import mod as mod # stubs require explicit re-export from package import mod as internal_detail [builtins fixtures/module.pyi] [case testNoReExportUnrelatedModule] from mod2 import unrelated # E: Module "mod2" does not explicitly export attribute "unrelated" [file mod1/__init__.pyi] [file mod1/unrelated.pyi] x: int [file mod2.pyi] from mod1 import unrelated [builtins fixtures/module.pyi] [case testNoReExportUnrelatedSiblingPrefix] from pkg.unrel import unrelated # E: Module "pkg.unrel" does not explicitly export attribute "unrelated" [file pkg/__init__.pyi] [file pkg/unrelated.pyi] x: int [file pkg/unrel.pyi] from pkg import unrelated [builtins fixtures/module.pyi] [case testNoReExportChildStubs] import mod from mod import C, D # E: Module "mod" does not explicitly export attribute "C" reveal_type(mod.x) # N: Revealed type is "mod.submod.C" mod.C # E: Module "mod" does not explicitly export attribute "C" y = mod.D() reveal_type(y.a) # N: Revealed type is "builtins.str" [file mod/__init__.pyi] from .submod import C, D as D x: C [file mod/submod.pyi] class C: pass class D: a: str [builtins fixtures/module.pyi] [case testNoReExportNestedStub] from stub import substub # E: Module "stub" does not explicitly export attribute "substub" [file stub.pyi] import substub [file substub.pyi] x = 42 [file mod/submod.pyi] [case testModuleAliasToQualifiedImport] import package.module alias = package.module reveal_type(alias.whatever('/')) # N: Revealed type is "builtins.str" [file package/__init__.py] [file package/module.py] from typing import TypeVar T = TypeVar('T') def whatever(x: T) -> T: pass [builtins fixtures/module.pyi] [typing fixtures/typing-full.pyi] [case testModuleAliasToQualifiedImport2] import mod import othermod alias = mod.submod reveal_type(alias.whatever('/')) # N: Revealed type is "builtins.str" if int(): alias = othermod # E: Cannot assign multiple modules to name "alias" without explicit "types.ModuleType" annotation [file mod.py] import submod [file submod.py] from typing import TypeVar T = TypeVar('T') def whatever(x: T) -> T: pass [file othermod.py] [builtins fixtures/module.pyi] [typing fixtures/typing-full.pyi] [case testModuleLevelGetattr] import has_getattr reveal_type(has_getattr.any_attribute) # N: Revealed type is "Any" [file has_getattr.pyi] from typing import Any def __getattr__(name: str) -> Any: ... [builtins fixtures/module.pyi] [case testModuleLevelGetattrReturnType] import has_getattr reveal_type(has_getattr.any_attribute) # N: Revealed type is "builtins.str" [file has_getattr.pyi] def __getattr__(name: str) -> str: ... [builtins fixtures/module.pyi] [case testModuleLevelGetattrInvalidSignature] import has_getattr reveal_type(has_getattr.any_attribute) [file has_getattr.pyi] def __getattr__(x: int, y: str) -> str: ... [out] tmp/has_getattr.pyi:1: error: Invalid signature "Callable[[int, str], str]" for "__getattr__" main:3: note: Revealed type is "builtins.str" [builtins fixtures/module.pyi] [case testModuleLevelGetattrNotCallable] import has_getattr reveal_type(has_getattr.any_attribute) [file has_getattr.pyi] __getattr__ = 3 [out] tmp/has_getattr.pyi:1: error: Invalid signature "int" for "__getattr__" main:3: note: Revealed type is "Any" [builtins fixtures/module.pyi] [case testModuleLevelGetattrUntyped] import has_getattr reveal_type(has_getattr.any_attribute) # N: Revealed type is "Any" [file has_getattr.pyi] def __getattr__(name): ... [builtins fixtures/module.pyi] [case testModuleLevelGetattrNotStub] import has_getattr reveal_type(has_getattr.any_attribute) # N: Revealed type is "builtins.str" [file has_getattr.py] def __getattr__(name) -> str: ... [builtins fixtures/module.pyi] [case testModuleLevelGetattribute] def __getattribute__(): ... # E: __getattribute__ is not valid at the module level [case testModuleLevelGetattrImportFrom] from has_attr import name reveal_type(name) # N: Revealed type is "Any" [file has_attr.pyi] from typing import Any def __getattr__(name: str) -> Any: ... [builtins fixtures/module.pyi] [case testModuleLevelGetattrImportFromRetType] from has_attr import int_attr reveal_type(int_attr) # N: Revealed type is "builtins.int" [file has_attr.pyi] def __getattr__(name: str) -> int: ... [builtins fixtures/module.pyi] [case testModuleLevelGetattrImportFromNotStub] from non_stub import name reveal_type(name) # N: Revealed type is "Any" [file non_stub.py] from typing import Any def __getattr__(name: str) -> Any: ... [builtins fixtures/module.pyi] [case testModuleLevelGetattrImportFromAs] from has_attr import name as n reveal_type(name) # E: Name "name" is not defined # N: Revealed type is "Any" reveal_type(n) # N: Revealed type is "Any" [file has_attr.pyi] from typing import Any def __getattr__(name: str) -> Any: ... [builtins fixtures/module.pyi] [case testModuleLevelGetattrImportFromAsTwice] from has_attr import name from has_attr import name from has_attr import x from has_attr import y as x # E: Name "x" already defined (possibly by an import) reveal_type(name) # N: Revealed type is "builtins.int" [file has_attr.pyi] from typing import Any def __getattr__(name: str) -> int: ... [case testModuleLevelGetattrAssignedGood] import non_stub reveal_type(non_stub.name) # N: Revealed type is "builtins.int" [file non_stub.py] from typing import Callable def make_getattr_good() -> Callable[[str], int]: ... __getattr__ = make_getattr_good() # OK [case testModuleLevelGetattrAssignedBad] import non_stub reveal_type(non_stub.name) [file non_stub.py] from typing import Callable def make_getattr_bad() -> Callable[[], int]: ... __getattr__ = make_getattr_bad() [out] tmp/non_stub.py:4: error: Invalid signature "Callable[[], int]" for "__getattr__" main:2: note: Revealed type is "builtins.int" [case testModuleLevelGetattrImportedGood] import non_stub reveal_type(non_stub.name) # N: Revealed type is "builtins.int" [file non_stub.py] from has_getattr import __getattr__ [file has_getattr.py] def __getattr__(name: str) -> int: ... [case testModuleLevelGetattrImportedBad] import non_stub reveal_type(non_stub.name) [file non_stub.py] from has_getattr import __getattr__ [file has_getattr.py] def __getattr__() -> int: ... [out] tmp/has_getattr.py:1: error: Invalid signature "Callable[[], int]" for "__getattr__" main:2: note: Revealed type is "builtins.int" [builtins fixtures/module.pyi] [case testFailedImportFromTwoModules] import c import b [file b.py] import c [out] -- TODO: it would be better for this to be in the other order tmp/b.py:1: error: Cannot find implementation or library stub for module named "c" main:1: error: Cannot find implementation or library stub for module named "c" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testIndirectFromImportWithinCycle1] import a [file a.py] from b import f from c import x [file b.py] from c import y from a import x def f() -> None: pass reveal_type(x) # N: Revealed type is "builtins.str" [file c.py] x = str() y = int() [case testIndirectFromImportWithinCycle2] import a [file a.py] from c import y from b import x def f() -> None: pass reveal_type(x) # N: Revealed type is "builtins.str" [file b.py] from a import f from c import x [file c.py] x = str() y = int() [case testIndirectFromImportWithinCycleInPackage] import p.a [file p/__init__.py] [file p/a.py] from p.b import f from p.c import x [file p/b.py] from p.c import y from p.a import x def f() -> None: pass reveal_type(x) # N: Revealed type is "builtins.str" [file p/c.py] x = str() y = int() [case testIndirectFromImportWithinCycleInPackageIgnoredInit] # cmd: mypy -m p.a p.b p.c # flags: --follow-imports=skip --ignore-missing-imports [file p/__init__.py] [file p/a.py] from p.b import f from p.c import x [file p/b.py] from p.c import y from p.a import x def f() -> None: pass reveal_type(x) # N: Revealed type is "builtins.str" [file p/c.py] x = str() y = int() [case testForwardReferenceToListAlias] x: List[int] reveal_type(x) # N: Revealed type is "builtins.list[builtins.int]" def f() -> 'List[int]': pass reveal_type(f) # N: Revealed type is "def () -> builtins.list[builtins.int]" class A: y: 'List[str]' def g(self, x: 'List[int]') -> None: pass reveal_type(A().y) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(A().g) # N: Revealed type is "def (x: builtins.list[builtins.int])" from typing import List [builtins fixtures/list.pyi] [case testIndirectStarImportWithinCycle1] import a [file a.py] from b import f from c import x [file b.py] from c import y from a import * def f() -> None: pass reveal_type(x) # N: Revealed type is "builtins.str" [file c.py] x = str() y = int() [case testIndirectStarImportWithinCycle2] import a [file a.py] from c import y from b import * def f() -> None: pass reveal_type(x) # N: Revealed type is "builtins.str" [file b.py] from a import f from c import x [file c.py] x = str() y = int() [case testModuleGetattrInit1] from a import b x = b.f() [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [case testModuleGetattrInit2] import a.b x = a.b.f() [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [case testModuleGetattrInit3] import a.b x = a.b.f() [file a/__init__.py] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] main:1: error: Cannot find implementation or library stub for module named "a.b" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testModuleGetattrInit4] import a.b.c x = a.b.c.f() [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [case testModuleGetattrInit5] from a.b import f x = f() [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [case testModuleGetattrInit5a] from a.b import f x = f() [file a/__init__.pyi] from types import ModuleType def __getattr__(attr: str) -> ModuleType: ... [builtins fixtures/module.pyi] [out] [case testModuleGetattrInit8] import a.b.c.d x = a.b.c.d.f() [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [file a/b/__init__.pyi] # empty (i.e. complete subpackage) [builtins fixtures/module.pyi] [out] main:1: error: Cannot find implementation or library stub for module named "a.b.c.d" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "a.b.c" [case testModuleGetattrInit8a] import a.b.c # E: Cannot find implementation or library stub for module named "a.b.c" # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports import a.d # OK [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [file a/b/__init__.pyi] # empty (i.e. complete subpackage) [builtins fixtures/module.pyi] [case testModuleGetattrInit10] # flags: --config-file tmp/mypy.ini import a.b.c # silenced import a.b.d # error [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [file a/b/__init__.pyi] # empty (i.e. complete subpackage) [file mypy.ini] \[mypy] \[mypy-a.b.c] ignore_missing_imports = True [builtins fixtures/module.pyi] [out] main:3: error: Cannot find implementation or library stub for module named "a.b.d" main:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testModuleGetattrInit10PyProjectTOML] # flags: --config-file tmp/pyproject.toml import a.b.c # silenced import a.b.d # error [file a/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [file a/b/__init__.pyi] # empty (i.e. complete subpackage) [file pyproject.toml] \[tool.mypy] \[[tool.mypy.overrides]] module = 'a.b.c' ignore_missing_imports = true [builtins fixtures/module.pyi] [out] main:3: error: Cannot find implementation or library stub for module named "a.b.d" main:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testMultipleModulesInOverridePyProjectTOML] # flags: --config-file tmp/pyproject.toml import a import b [file pyproject.toml] \[tool.mypy] \[[tool.mypy.overrides]] module = ['a', 'b'] ignore_missing_imports = true [case testIndirectFromImportWithinCycleUsedAsBaseClass] import a [file a.py] from b import f from c import B [file b.py] from c import y class A(B): pass reveal_type(A().x) # N: Revealed type is "builtins.int" from a import B def f() -> None: pass [file c.py] class B: x: int x = str() y = int() [case testImportFromReExportInCycleUsingRelativeImport1] from m import One reveal_type(One) [file m/__init__.py] from .one import One from .two import Two reveal_type(One) [file m/one.py] class One: pass [file m/two.py] from m import One reveal_type(One) x: One reveal_type(x) class Two(One): pass y: Two y = x x = y [out] tmp/m/two.py:2: note: Revealed type is "def () -> m.one.One" tmp/m/two.py:4: note: Revealed type is "m.one.One" tmp/m/two.py:9: error: Incompatible types in assignment (expression has type "One", variable has type "Two") tmp/m/__init__.py:3: note: Revealed type is "def () -> m.one.One" main:2: note: Revealed type is "def () -> m.one.One" [case testImportReExportInCycleUsingRelativeImport2] from m import One reveal_type(One) [file m/__init__.py] from .one import One from .two import Two reveal_type(One) [file m/one.py] class One: pass [file m/two.py] import m reveal_type(m.One) x: m.One reveal_type(x) class Two: pass [out] tmp/m/two.py:2: note: Revealed type is "def () -> m.one.One" tmp/m/two.py:4: note: Revealed type is "m.one.One" tmp/m/__init__.py:3: note: Revealed type is "def () -> m.one.One" main:2: note: Revealed type is "def () -> m.one.One" [case testImportReExportedNamedTupleInCycle1] from m import One [file m/__init__.py] from .one import One from .two import Two [file m/one.py] from typing import NamedTuple class One(NamedTuple): name: str [file m/two.py] import m x = m.One(name="Foo") reveal_type(x.name) class Two: pass [builtins fixtures/tuple.pyi] [out] tmp/m/two.py:3: note: Revealed type is "builtins.str" [case testImportReExportedNamedTupleInCycle2] from m import One [file m/__init__.py] from .one import One from .two import Two [file m/one.py] from typing import NamedTuple One = NamedTuple('One', [('name', str)]) [file m/two.py] import m x = m.One(name="Foo") reveal_type(x.name) class Two: pass [builtins fixtures/tuple.pyi] [out] tmp/m/two.py:3: note: Revealed type is "builtins.str" [case testImportReExportedTypeAliasInCycle] from m import One [file m/__init__.py] from .one import One from .two import Two [file m/one.py] from typing import Union One = Union[int, str] [file m/two.py] import m x: m.One reveal_type(x) class Two: pass [out] tmp/m/two.py:3: note: Revealed type is "Union[builtins.int, builtins.str]" [case testImportCycleSpecialCase] import p [file p/__init__.py] from . import a from . import b reveal_type(a.foo()) [file p/a.py] import p def foo() -> int: pass [file p/b.py] import p def run() -> None: reveal_type(p.a.foo()) [builtins fixtures/module.pyi] [out] tmp/p/b.py:4: note: Revealed type is "builtins.int" tmp/p/__init__.py:3: note: Revealed type is "builtins.int" [case testMissingSubmoduleImportedWithIgnoreMissingImports] # flags: --ignore-missing-imports import whatever.works import a.b x = whatever.works.f() y = a.b.f() [file a/__init__.py] # empty [out] [case testMissingSubmoduleImportedWithIgnoreMissingImportsStub] # flags: --ignore-missing-imports --follow-imports=skip import whatever.works import a.b x = whatever.works.f() y = a.b.f() xx: whatever.works.C yy: a.b.C xx2: whatever.works.C.D yy2: a.b.C.D [file a/__init__.pyi] # empty [out] [case testMissingSubmoduleImportedWithIgnoreMissingImportsNested] # flags: --ignore-missing-imports import a.b.c.d y = a.b.c.d.f() [file a/__init__.py] # empty [file a/b/__init__.py] # empty [out] [case testModuleGetattrBusted] from a import A x: A reveal_type(x) # N: Revealed type is "Any" [file a.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [case testModuleGetattrBusted2] from a import A def f(x: A.B) -> None: ... reveal_type(f) # N: Revealed type is "def (x: Any)" [file a.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [builtins fixtures/module.pyi] [out] [case testNoGetattrInterference] import testmod as t def f(x: t.Cls) -> None: reveal_type(x) # N: Revealed type is "testmod.Cls" [file testmod.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... class Cls: ... [builtins fixtures/module.pyi] [out] [case testFunctionWithDunderName] def __add__(self) -> int: ... [case testFunctionWithReversibleDunderName] def __radd__(self) -> int: ... [case testFunctionWithInPlaceDunderName] def __iadd__(self) -> int: ... -- Tests for PEP 420 namespace packages. [case testClassicPackage] from foo.bar import x [file foo/__init__.py] # empty [file foo/bar.py] x = 0 [case testClassicNotPackage] # flags: --no-namespace-packages from foo.bar import x [file foo/bar.py] x = 0 [out] main:2: error: Cannot find implementation or library stub for module named "foo.bar" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testNamespacePackage] # flags: --namespace-packages from foo.bar import x reveal_type(x) # N: Revealed type is "builtins.int" [file foo/bar.py] x = 0 [case testNamespacePackageWithMypyPath] # flags: --namespace-packages --config-file tmp/mypy.ini from foo.bax import x from foo.bay import y from foo.baz import z reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(z) # N: Revealed type is "builtins.int" [file xx/foo/bax.py] x = 0 [file yy/foo/bay.py] y = 0 [file foo/baz.py] z = 0 [file mypy.ini] \[mypy] mypy_path = tmp/xx, tmp/yy [case testNamespacePackageWithMypyPathPyProjectTOML] # flags: --namespace-packages --config-file tmp/pyproject.toml from foo.bax import x from foo.bay import y from foo.baz import z reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(z) # N: Revealed type is "builtins.int" [file xx/foo/bax.py] x = 0 [file yy/foo/bay.py] y = 0 [file foo/baz.py] z = 0 [file pyproject.toml] \[tool.mypy] mypy_path = ["tmp/xx", "tmp/yy"] [case testClassicPackageIgnoresEarlierNamespacePackage] # flags: --namespace-packages --config-file tmp/mypy.ini from foo.bar import y reveal_type(y) # N: Revealed type is "builtins.int" [file xx/foo/bar.py] x = '' [file yy/foo/bar.py] y = 0 [file yy/foo/__init__.py] [file mypy.ini] \[mypy] mypy_path = tmp/xx, tmp/yy [case testNamespacePackagePickFirstOnMypyPath] # flags: --namespace-packages --config-file tmp/mypy.ini from foo.bar import x reveal_type(x) # N: Revealed type is "builtins.int" [file xx/foo/bar.py] x = 0 [file yy/foo/bar.py] x = '' [file mypy.ini] \[mypy] mypy_path = tmp/xx, tmp/yy [case testNamespacePackageInsideClassicPackage] # flags: --namespace-packages --config-file tmp/mypy.ini from foo.bar.baz import x reveal_type(x) # N: Revealed type is "builtins.int" [file xx/foo/bar/baz.py] x = '' [file yy/foo/bar/baz.py] x = 0 [file yy/foo/__init__.py] [file mypy.ini] \[mypy] mypy_path = tmp/xx, tmp/yy [case testClassicPackageInsideNamespacePackage] # flags: --namespace-packages --config-file tmp/mypy.ini from foo.bar.baz.boo import x reveal_type(x) # N: Revealed type is "builtins.int" [file xx/foo/bar/baz/boo.py] x = '' [file xx/foo/bar/baz/__init__.py] [file yy/foo/bar/baz/boo.py] x = 0 [file yy/foo/bar/__init__.py] [file mypy.ini] \[mypy] mypy_path = tmp/xx, tmp/yy [case testNamespacePackagePlainImport] # flags: --namespace-packages import foo.bar.baz reveal_type(foo.bar.baz.x) # N: Revealed type is "builtins.int" [file foo/bar/baz.py] x = 0 [case testModuleGetAttrAssignUnannotated] import roles # this should not crash roles.role = 1 [file roles.pyi] def __getattr__(name): ... [case testModuleGetAttrAssignUnannotatedDouble] import roles # this also should not crash roles.role.attr = 1 [file roles.pyi] def __getattr__(name): ... [case testModuleGetAttrAssignAny] import roles roles.role = 1 [file roles.pyi] from typing import Any def __getattr__(name: str) -> Any: ... [case testModuleGetAttrAssignError] import roles roles.role = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [file roles.pyi] def __getattr__(name: str) -> str: ... [case testModuleGetAttrAssignSubmodule] import roles roles.role = 1 roles.missing.attr = 1 [file roles/__init__.pyi] from typing import Any def __getattr__(name: str) -> Any: ... [case testModuleGetAttrAssignSubmoduleStrict] import roles roles.role = 1 # E: Incompatible types in assignment (expression has type "int", variable has type Module) [file roles/__init__.pyi] from types import ModuleType def __getattr__(name: str) -> ModuleType: ... [builtins fixtures/module.pyi] [case testAlwaysReportMissingAttributesOnFoundModules] # flags: --ignore-missing-imports import pack.mod as alias x: alias.NonExistent # E: Name "alias.NonExistent" is not defined [file pack/__init__.py] [file pack/mod.py] class Existent: pass [case testModuleAttributeTwoSuggestions] import m m.aaaa # E: Module has no attribute "aaaa"; maybe "aaaaa" or "aaa"? [file m.py] aaa: int aaaaa: int [builtins fixtures/module.pyi] [case testModuleAttributeThreeSuggestions] import m m.aaaaa # E: Module has no attribute "aaaaa"; maybe "aaaab", "aaaba", or "aabaa"? [file m.py] aaaab: int aaaba: int aabaa: int [builtins fixtures/module.pyi] [case testDirectlyImportTypedDictObjectAtTopLevel] import foo.bar.custom_dict from foo import bar from foo.bar import custom_dict from foo.bar.custom_dict import CustomDict foo.bar.custom_dict.CustomDict(foo="abc", bar="def") bar.custom_dict.CustomDict(foo="abc", bar="def") custom_dict.CustomDict(foo="abc", bar="def") CustomDict(foo="abc", bar="def") [file foo/__init__.py] [file foo/bar/__init__.py] [file foo/bar/custom_dict.py] from typing import TypedDict CustomDict = TypedDict( "CustomDict", { "foo": str, "bar": str, }, ) [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [case testNoReExportFromMissingStubs] from stub import a # E: Module "stub" does not explicitly export attribute "a" from stub import b from stub import c # E: Module "stub" has no attribute "c" from stub import d # E: Module "stub" does not explicitly export attribute "d" [file stub.pyi] from mystery import a, b as b, c as d [out] tmp/stub.pyi:1: error: Cannot find implementation or library stub for module named "mystery" tmp/stub.pyi:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testPackagePath] import p reveal_type(p.__path__) # N: Revealed type is "builtins.list[builtins.str]" p.m.__path__ # E: "object" has no attribute "__path__" [file p/__init__.py] from . import m as m [file p/m.py] [builtins fixtures/list.pyi] [case testSpecialModulesNameImplicitAttr] import typing import builtins import abc reveal_type(abc.__name__) # N: Revealed type is "builtins.str" reveal_type(builtins.__name__) # N: Revealed type is "builtins.str" reveal_type(typing.__name__) # N: Revealed type is "builtins.str" [case testSpecialAttrsAreAvailableInClasses] class Some: name = __name__ reveal_type(Some.name) # N: Revealed type is "builtins.str" [case testReExportAllInStub] from m1 import C from m1 import D # E: Module "m1" has no attribute "D" C() C(1) # E: Too many arguments for "C" [file m1.pyi] from m2 import * [file m2.pyi] from m3 import * from m3 import __all__ as __all__ class D: pass [file m3.pyi] from m4 import C as C __all__ = ['C'] [file m4.pyi] class C: pass [builtins fixtures/list.pyi] [case testMypyPathAndPython2Dir] # flags: --config-file tmp/mypy.ini from m import f f(1) # E: Argument 1 to "f" has incompatible type "int"; expected "str" f('x') [file xx/@python2/m.pyi] def f(x: int) -> None: ... [file xx/m.pyi] def f(x: str) -> None: ... [file mypy.ini] \[mypy] mypy_path = tmp/xx [case testImportCycleSpecialCase2] import m [file m.pyi] from f import F class M: pass [file f.pyi] from m import M from typing import Generic, TypeVar T = TypeVar("T") class W(Generic[T]): ... class F(M): A = W[int] x: C class C(W[F.A]): ... [case testImportCycleSpecialCase3] import f [file m.pyi] from f import F class M: pass [file f.pyi] from m import M from typing import Generic, TypeVar T = TypeVar("T") class F(M): x: C class C: ... [case testLimitLegacyStubErrorVolume] # flags: --disallow-any-expr --soft-error-limit=5 import certifi # E: Cannot find implementation or library stub for module named "certifi" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # N: (Skipping most remaining errors due to unresolved imports or missing stubs; fix these first) certifi.x certifi.x certifi.x certifi.x [case testDoNotLimitErrorVolumeIfNotImportErrors] # flags: --disallow-any-expr --soft-error-limit=5 def f(): pass certifi = f() # E: Expression has type "Any" 1() # E: "int" not callable certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" 1() # E: "int" not callable [case testDoNotLimitImportErrorVolume] # flags: --disallow-any-expr --soft-error-limit=3 import xyz1 # E: Cannot find implementation or library stub for module named "xyz1" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports import xyz2 # E: Cannot find implementation or library stub for module named "xyz2" import xyz3 # E: Cannot find implementation or library stub for module named "xyz3" import xyz4 # E: Cannot find implementation or library stub for module named "xyz4" [case testUnlimitedStubErrorVolume] # flags: --disallow-any-expr --soft-error-limit=-1 import certifi # E: Cannot find implementation or library stub for module named "certifi" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" certifi.x # E: Expression has type "Any" [case testIgnoreErrorFromMissingStubs1] # flags: --config-file tmp/pyproject.toml import certifi from foobar1 import x import foobar2 [file pyproject.toml] \[tool.mypy] ignore_missing_imports = true \[[tool.mypy.overrides]] module = "certifi" ignore_missing_imports = true \[[tool.mypy.overrides]] module = "foobar1" ignore_missing_imports = true [case testIgnoreErrorFromMissingStubs2] # flags: --config-file tmp/pyproject.toml import certifi from foobar1 import x import foobar2 # E: Cannot find implementation or library stub for module named "foobar2" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [file pyproject.toml] \[tool.mypy] ignore_missing_imports = false \[[tool.mypy.overrides]] module = "certifi" ignore_missing_imports = true \[[tool.mypy.overrides]] module = "foobar1" ignore_missing_imports = true [case testIgnoreErrorFromGoogleCloud] # flags: --ignore-missing-imports import google.cloud from google.cloud import x [case testErrorFromGoogleCloud] import google.cloud # E: Cannot find implementation or library stub for module named "google.cloud" \ # E: Cannot find implementation or library stub for module named "google" from google.cloud import x import google.non_existent # E: Cannot find implementation or library stub for module named "google.non_existent" from google.non_existent import x import google.cloud.ndb # E: Library stubs not installed for "google.cloud.ndb" \ # N: Hint: "python3 -m pip install types-google-cloud-ndb" \ # N: (or run "mypy --install-types" to install all missing stub packages) \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports from google.cloud import ndb [case testMissingSubmoduleOfInstalledStubPackage] import bleach.exists import bleach.xyz # E: Cannot find implementation or library stub for module named "bleach.xyz" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports from bleach.abc import fgh # E: Cannot find implementation or library stub for module named "bleach.abc" [file bleach/__init__.pyi] [file bleach/exists.pyi] [case testMissingSubmoduleOfInstalledStubPackageIgnored] # flags: --ignore-missing-imports import bleach.xyz from bleach.abc import fgh [file bleach/__init__.pyi] [case testCyclicUndefinedImportWithName] import a [file a.py] from b import no_such_export [file b.py] from a import no_such_export # E: Module "a" has no attribute "no_such_export" [case testCyclicUndefinedImportWithStar1] import a [file a.py] from b import no_such_export [file b.py] from a import * [out] tmp/b.py:1: error: Cannot resolve name "no_such_export" (possible cyclic definition) tmp/a.py:1: error: Module "b" has no attribute "no_such_export" [case testCyclicUndefinedImportWithStar2] import a [file a.py] from b import no_such_export [file b.py] from c import * [file c.py] from a import * [out] tmp/c.py:1: error: Cannot resolve name "no_such_export" (possible cyclic definition) tmp/b.py:1: error: Cannot resolve name "no_such_export" (possible cyclic definition) tmp/a.py:1: error: Module "b" has no attribute "no_such_export" [case testCyclicUndefinedImportWithStar3] import test1 [file test1.py] from dir1 import * [file dir1/__init__.py] from .test2 import * [file dir1/test2.py] from test1 import aaaa # E: Module "test1" has no attribute "aaaa" [case testIncompatibleOverrideFromCachedModuleIncremental] import b [file a.py] class Foo: def frobnicate(self, x: str, *args, **kwargs): pass [file b.py] from a import Foo class Bar(Foo): def frobnicate(self) -> None: pass [file b.py.2] from a import Foo class Bar(Foo): def frobnicate(self, *args: int) -> None: pass [file b.py.3] from a import Foo class Bar(Foo): def frobnicate(self, *args: int) -> None: pass # type: ignore[override] # I know [builtins fixtures/dict.pyi] [out1] tmp/b.py:3: error: Signature of "frobnicate" incompatible with supertype "a.Foo" tmp/b.py:3: note: Superclass: tmp/b.py:3: note: def frobnicate(self, x: str, *args: Any, **kwargs: Any) -> Any tmp/b.py:3: note: Subclass: tmp/b.py:3: note: def frobnicate(self) -> None [out2] tmp/b.py:3: error: Signature of "frobnicate" incompatible with supertype "a.Foo" tmp/b.py:3: note: Superclass: tmp/b.py:3: note: def frobnicate(self, x: str, *args: Any, **kwargs: Any) -> Any tmp/b.py:3: note: Subclass: tmp/b.py:3: note: def frobnicate(self, *args: int) -> None ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-multiple-inheritance.test0000644000175100017510000004402315112307767023225 0ustar00runnerrunner-- Test cases for multiple inheritance. -- -- Related: check-abstract.test -- No name collisions -- ------------------ [case testSimpleMultipleInheritanceAndMethods] import typing class A: def f(self, x: int) -> None: pass class B: def g(self, x: str) -> None: pass class C(A, B): pass c = C() c.f(1) c.f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" c.g('') c.g(1) # E: Argument 1 to "g" of "B" has incompatible type "int"; expected "str" [case testSimpleMultipleInheritanceAndMethods2] import typing class A: def f(self, x: int) -> None: pass class B: def g(self, x): pass class C(A, B): pass c = C() c.f(1) c.f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" c.g('') c.g(1) [case testSimpleMultipleInheritanceAndInstanceVariables] import typing class A: def f(self) -> None: self.x = 1 class B: def g(self) -> None: self.y = '' class C(A, B): pass c = C() c.x = 1 c.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") c.y = '' c.y = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testSimpleMultipleInheritanceAndInstanceVariableInClassBody] import typing class A: x = 1 class B: y = '' class C(A, B): pass c = C() c.x = 1 c.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") c.y = '' c.y = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testSimpleMultipleInheritanceAndClassVariable] import typing class A: x = 1 class B: y = '' class C(A, B): pass C.x = 1 C.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") C.y = '' C.y = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") -- Name collisions -- --------------- [case testMethodNameCollisionInMultipleInheritanceWithValidSigs] import typing class A: def f(self, x: int) -> None: pass class B: def f(self, x: int) -> None: pass class C(A, B): pass c = C() c.f(1) c.f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [case testInstanceVarNameOverlapInMultipleInheritanceWithCompatibleTypes] import typing class A: def f(self) -> None: self.x = 1 class B: def g(self) -> None: self.x = 1 class C(A, B): pass c = C() c.x = 1 c.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testClassVarNameOverlapInMultipleInheritanceWithCompatibleTypes] import typing class A: x = 1 class B: x = 1 class C(A, B): pass c = C() c.x = 1 c.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") C.x = 1 C.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testMethodNameCollisionInMultipleInheritanceWithIncompatibleSigs] import typing class A: def f(self, x: int) -> None: pass class B: def f(self, x: str) -> None: pass class C(A, B): pass [out] main:6: error: Definition of "f" in base class "A" is incompatible with definition in base class "B" [case testMethodNameCollisionInMultipleInheritanceWithIncompatibleSigs2] import typing class A: def f(self, x: int) -> None: pass class B: def f(self, x, y): pass class C(A, B): pass class D(B, A): pass [out] main:6: error: Definition of "f" in base class "A" is incompatible with definition in base class "B" main:7: error: Definition of "f" in base class "B" is incompatible with definition in base class "A" [case testMethodOverridingWithBothDynamicallyAndStaticallyTypedMethods] class A: def f(self) -> int: pass class B: def f(self): pass class C(B, A): pass class D(A, B): pass [out] [case testInstanceVarNameOverlapInMultipleInheritanceWithInvalidTypes] import typing class A: def f(self) -> None: self.x = 1 class B: def g(self) -> None: self.x = '' class C(A, B): pass [out] main:8: error: Definition of "x" in base class "A" is incompatible with definition in base class "B" [case testClassVarNameOverlapInMultipleInheritanceWithInvalidTypes] import typing class A: x = 1 class B: x = '' class C(A, B): pass [out] main:6: error: Definition of "x" in base class "A" is incompatible with definition in base class "B" [case testMethodOverlapsWithClassVariableInMultipleInheritance] from typing import Callable class A: def f(self) -> None: pass class B: f = '' class C(A, B): pass [out] main:6: error: Definition of "f" in base class "A" is incompatible with definition in base class "B" [case testMethodOverlapsWithInstanceVariableInMultipleInheritance] from typing import Callable class A: def f(self) -> None: pass class B: def g(self) -> None: self.f = '' class C(A, B): pass [out] main:7: error: Definition of "f" in base class "A" is incompatible with definition in base class "B" [case testMultipleInheritanceAndInit] import typing class A: def __init__(self, x: int) -> None: pass class B: def __init__(self) -> None: pass class C(A, B): pass [case testMultipleInheritanceAndDifferentButCompatibleSignatures] class A: def clear(self): pass class B: def clear(self, x=None): pass class C(B, A): pass class D(A, B): pass [out] main:8: error: Definition of "clear" in base class "A" is incompatible with definition in base class "B" -- Special cases -- ------------- [case testGenericInheritanceAndOverridingWithMultipleInheritance] from typing import Generic, TypeVar T = TypeVar('T') class G(Generic[T]): def f(self, s: int) -> 'G[T]': pass class A(G[int]): def f(self, s: int) -> 'A': pass class B(A, int): pass [case testCannotDetermineTypeInMultipleInheritance] from typing import Callable, TypeVar T = TypeVar('T') class A(B, C): pass class B: @dec def f(self): pass class C: @dec def f(self): pass def dec(f: Callable[..., T]) -> Callable[..., T]: return f [out] main:3: error: Cannot determine type of "f" in base class "B" main:3: error: Cannot determine type of "f" in base class "C" [case testMultipleInheritance_NestedClassesWithSameName] class Mixin1: class Meta: pass class Mixin2: class Meta: pass class A(Mixin1, Mixin2): pass [out] main:7: error: Definition of "Meta" in base class "Mixin1" is incompatible with definition in base class "Mixin2" [case testMultipleInheritance_NestedClassesWithSameNameCustomMetaclass] class Metaclass(type): pass class Mixin1: class Meta(metaclass=Metaclass): pass class Mixin2: class Meta(metaclass=Metaclass): pass class A(Mixin1, Mixin2): pass [out] main:9: error: Definition of "Meta" in base class "Mixin1" is incompatible with definition in base class "Mixin2" [case testMultipleInheritance_NestedClassesWithSameNameOverloadedNew] from mixins import Mixin1, Mixin2 class A(Mixin1, Mixin2): pass [file mixins.py] class Mixin1: class Meta: pass class Mixin2: class Meta: pass [file mixins.pyi] from typing import overload, Any, Mapping, Dict class Mixin1: class Meta: @overload def __new__(cls, *args, **kwargs: None) -> Mixin1.Meta: pass @overload def __new__(cls, *args, **kwargs: Dict[str, Any]) -> Mixin1.Meta: pass class Mixin2: class Meta: pass [builtins fixtures/dict.pyi] [out] main:2: error: Definition of "Meta" in base class "Mixin1" is incompatible with definition in base class "Mixin2" [case testMultipleInheritance_NestedClassAndAttrHaveSameName] class Mixin1: class Nested1: pass class Mixin2: Nested1: str class A(Mixin1, Mixin2): pass [out] main:6: error: Definition of "Nested1" in base class "Mixin1" is incompatible with definition in base class "Mixin2" [case testMultipleInheritance_NestedClassAndFunctionHaveSameName] class Mixin1: class Nested1: pass class Mixin2: def Nested1(self) -> str: pass class A(Mixin1, Mixin2): pass [out] main:7: error: Definition of "Nested1" in base class "Mixin1" is incompatible with definition in base class "Mixin2" [case testMultipleInheritance_NestedClassAndRefToOtherClass] class Outer: pass class Mixin1: class Nested1: pass class Mixin2: Nested1 = Outer class A(Mixin2, Mixin1): pass [out] main:8: error: Definition of "Nested1" in base class "Mixin2" is incompatible with definition in base class "Mixin1" [case testMultipleInheritance_ReferenceToSubclassesFromSameMRO] class A: def __init__(self, arg: str) -> None: pass class B(A): pass class Base1: NestedVar = A class Base2: NestedVar = B class Combo(Base2, Base1): ... [out] [case testMultipleInheritance_ReferenceToSubclassesFromSameMROCustomMetaclass] class Metaclass(type): pass class A(metaclass=Metaclass): pass class B(A): pass class Base1: NestedVar = A class Base2: NestedVar = B class Combo(Base2, Base1): ... [out] [case testMultipleInheritance_ReferenceToSubclassesFromSameMROOverloadedNew] from mixins import A, B class Base1: NestedVar = A class Base2: NestedVar = B class Combo(Base2, Base1): ... [file mixins.py] class A: pass class B(A): pass [file mixins.pyi] from typing import overload, Dict, Any class A: @overload def __new__(cls, *args, **kwargs: None) -> A: pass @overload def __new__(cls, *args, **kwargs: Dict[str, Any]) -> A: pass class B: pass [builtins fixtures/dict.pyi] [out] main:6: error: Definition of "NestedVar" in base class "Base2" is incompatible with definition in base class "Base1" [case testMultipleInheritance_ReferenceToGenericClasses] from typing import TypeVar, Generic T = TypeVar('T') class Generic1(Generic[T]): pass class Generic2(Generic[T]): pass class Base1: Nested = Generic1 class Base2: Nested = Generic2 class A(Base1, Base2): pass [out] main:11: error: Definition of "Nested" in base class "Base1" is incompatible with definition in base class "Base2" [case testMultipleInheritance_GenericSubclasses_SuperclassFirst] from typing import TypeVar, Generic T = TypeVar('T') class ParentGeneric(Generic[T]): pass class ChildGeneric(ParentGeneric[T]): pass class Base1: Nested = ParentGeneric class Base2: Nested = ChildGeneric class A(Base1, Base2): pass [out] main:11: error: Definition of "Nested" in base class "Base1" is incompatible with definition in base class "Base2" [case testMultipleInheritance_GenericSubclasses_SubclassFirst] from typing import TypeVar, Generic T = TypeVar('T') class ParentGeneric(Generic[T]): pass class ChildGeneric(ParentGeneric[T]): pass class Base1: Nested = ParentGeneric class Base2: Nested = ChildGeneric class A(Base2, Base1): pass [out] [case testMultipleInheritance_RefersToNamedTuples] from typing import NamedTuple class NamedTuple1: attr1: int class NamedTuple2: attr2: int class Base1: Nested = NamedTuple1 class Base2: Nested = NamedTuple2 class A(Base1, Base2): pass [out] main:10: error: Definition of "Nested" in base class "Base1" is incompatible with definition in base class "Base2" [case testMultipleInheritance_NestedVariableRefersToSuperlassUnderSubclass] class A: def __init__(self, arg: str) -> None: pass class B(A): pass class Base1: NestedVar = B class Base2: NestedVar = A class Combo(Base2, Base1): ... [out] main:10: error: Definition of "NestedVar" in base class "Base2" is incompatible with definition in base class "Base1" [case testMultipleInheritance_NestedVariableOverriddenWithCompatibleType] from typing import TypeVar, Generic T = TypeVar('T', covariant=True) class GenericBase(Generic[T]): pass class Base1: Nested: GenericBase['Base1'] class Base2: Nested: GenericBase['Base2'] class A(Base1, Base2): Nested: GenericBase['A'] [out] [case testMultipleInheritance_NestedVariableOverriddenWithIncompatibleType1] from typing import TypeVar, Generic T = TypeVar('T', covariant=True) class GenericBase(Generic[T]): pass class Base1: Nested: GenericBase['Base1'] class Base2: Nested: GenericBase['Base2'] class A(Base1, Base2): Nested: GenericBase['Base1'] [out] main:10: error: Incompatible types in assignment (expression has type "GenericBase[Base1]", base class "Base2" defined the type as "GenericBase[Base2]") [case testMultipleInheritance_NestedVariableOverriddenWithIncompatibleType2] from typing import TypeVar, Generic T = TypeVar('T', covariant=True) class GenericBase(Generic[T]): pass class Base1: Nested: GenericBase['Base1'] class Base2: Nested: GenericBase['Base2'] class A(Base1, Base2): Nested: GenericBase['Base2'] [out] main:10: error: Incompatible types in assignment (expression has type "GenericBase[Base2]", base class "Base1" defined the type as "GenericBase[Base1]") [case testMultipleInheritance_NestedVariableOverriddenWithCompatibleType2] from typing import TypeVar, Generic T = TypeVar('T', covariant=True) class GenericBase(Generic[T]): pass class Base1: Nested: GenericBase['Base1'] class Base2: Nested: GenericBase['Base1'] class A(Base1, Base2): Nested: GenericBase['Base1'] [out] [case testMultipleInheritance_MethodDefinitionsCompatibleWithOverride] from typing import TypeVar, Union _T = TypeVar('_T') class Flag: def __or__(self: _T, other: _T) -> _T: ... # int defines __or__ as: # def __or__(self, n: int) -> int: ... class IntFlag(int, Flag): def __or__(self: _T, other: Union[int, _T]) -> _T: ... [out] [case testMultipleInheritance_MethodDefinitionsIncompatibleOverride] from typing import TypeVar, Union _T = TypeVar('_T') class Flag: def __or__(self: _T, other: _T) -> _T: ... class IntFlag(int, Flag): def __or__(self: _T, other: str) -> _T: ... [out] main:8: error: Argument 1 of "__or__" is incompatible with supertype "Flag"; supertype defines the argument type as "IntFlag" main:8: note: This violates the Liskov substitution principle main:8: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [case testMultipleInheritance_MethodDefinitionsCompatibleNoOverride] from typing import TypeVar, Union _T = TypeVar('_T') class Flag: def __or__(self: _T, other: _T) -> _T: ... class IntFlag(int, Flag): pass [out] [case testMultipleInheritance_MethodsReturningSelfCompatible] class A(object): def x(self) -> 'A': return self class B(object): def x(self) -> 'B': return self class C(A, B): def x(self) -> 'C': return self [case testMultipleInheritance_MethodsReturningSelfIncompatible] class A(object): def x(self) -> 'A': return self class B(object): def x(self) -> 'B': return self class C(A, B): # E: Definition of "x" in base class "A" is incompatible with definition in base class "B" pass [case testNestedVariableRefersToSubclassOfAnotherNestedClass] class Mixin1: class Meta: pass class Outer(Mixin1.Meta): pass class Mixin2: NestedVar = Outer class Combo(Mixin2, Mixin1): ... [out] [case testNestedVariableRefersToCompletelyDifferentClasses] class A: pass class B: pass class Base1: NestedVar = A class Base2: NestedVar = B class Combo(Base2, Base1): ... [out] main:9: error: Definition of "NestedVar" in base class "Base2" is incompatible with definition in base class "Base1" [case testDoNotFailIfBothNestedClassesInheritFromAny] from typing import Any class Mixin1: class Meta(Any): pass class Mixin2: class Meta(Any): pass class A(Mixin1, Mixin2): pass [out] [case testDoNotFailIfOneOfNestedClassesIsOuterInheritedFromAny] from typing import Any class Outer(Any): pass class Mixin1: Meta = Outer class Mixin2: class Meta(Any): pass class A(Mixin1, Mixin2): pass [out] [case testGenericMultipleOverrideRemap] from typing import TypeVar, Generic, Tuple K = TypeVar('K') V = TypeVar('V') T = TypeVar('T') class ItemsView(Generic[K, V]): def __iter__(self) -> Tuple[K, V]: ... class Sequence(Generic[T]): def __iter__(self) -> T: ... # Override compatible between bases. class OrderedItemsView(ItemsView[K, V], Sequence[Tuple[K, V]]): def __iter__(self) -> Tuple[K, V]: ... class OrderedItemsViewDirect(ItemsView[K, V], Sequence[Tuple[K, V]]): pass [builtins fixtures/tuple.pyi] [case testGenericMultipleOverrideReplace] from typing import TypeVar, Generic, Union T = TypeVar('T') class A(Generic[T]): def foo(self, x: T) -> None: ... class B(A[T]): ... class C1: def foo(self, x: str) -> None: ... class C2: def foo(self, x: Union[str, int]) -> None: ... class D1(B[str], C1): ... class D2(B[Union[int, str]], C2): ... class D3(C2, B[str]): ... class D4(B[str], C2): ... # E: Definition of "foo" in base class "A" is incompatible with definition in base class "C2" [case testMultipleInheritanceOverridingOfFunctionsWithCallableInstances] from typing import Any, Callable def dec1(f: Callable[[Any, int], None]) -> Callable[[Any, int], None]: ... class F: def __call__(self, x: int) -> None: ... def dec2(f: Callable[[Any, int], None]) -> F: ... class B1: def f(self, x: int) -> None: ... class B2: @dec1 def f(self, x: int) -> None: ... class B3: @dec2 def f(self, x: int) -> None: ... class B4: f = F() class C12(B1, B2): ... class C13(B1, B3): ... # E: Definition of "f" in base class "B1" is incompatible with definition in base class "B3" class C14(B1, B4): ... # E: Definition of "f" in base class "B1" is incompatible with definition in base class "B4" class C21(B2, B1): ... class C23(B2, B3): ... # E: Definition of "f" in base class "B2" is incompatible with definition in base class "B3" class C24(B2, B4): ... # E: Definition of "f" in base class "B2" is incompatible with definition in base class "B4" class C31(B3, B1): ... class C32(B3, B2): ... class C34(B3, B4): ... class C41(B4, B1): ... class C42(B4, B2): ... class C43(B4, B3): ... [case testMultipleInheritanceExplicitDiamondResolution] # Adapted from #14279 class A: class M: pass class B0(A): class M(A.M): pass class B1(A): class M(A.M): pass class C(B0,B1): class M(B0.M, B1.M): pass class D0(B0): pass class D1(B1): pass class D(D0,D1,C): pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-namedtuple.test0000644000175100017510000013436015112307767021245 0ustar00runnerrunner[case testNamedTupleUsedAsTuple] from collections import namedtuple X = namedtuple('X', 'x y') x: X a, b = x b = x[0] a = x[1] a, b, c = x # E: Need more than 2 values to unpack (3 expected) x[2] # E: Tuple index out of range [builtins fixtures/tuple.pyi] [case testNamedTupleWithTupleFieldNamesUsedAsTuple] from collections import namedtuple X = namedtuple('X', ('x', 'y')) x: X a, b = x b = x[0] a = x[1] a, b, c = x # E: Need more than 2 values to unpack (3 expected) x[2] # E: Tuple index out of range [builtins fixtures/tuple.pyi] [case testNamedTupleInvalidFields] from collections import namedtuple X = namedtuple('X', 'x, _y') # E: "namedtuple()" field name "_y" starts with an underscore Y = namedtuple('Y', ['x', '1']) # E: "namedtuple()" field name "1" is not a valid identifier Z = namedtuple('Z', ['x', 'def']) # E: "namedtuple()" field name "def" is a keyword A = namedtuple('A', ['x', 'x']) # E: "namedtuple()" has duplicate field name "x" [builtins fixtures/tuple.pyi] [case testNamedTupleAccessingAttributes] from collections import namedtuple X = namedtuple('X', 'x y') x: X x.x x.y x.z # E: "X" has no attribute "z" [builtins fixtures/tuple.pyi] [case testNamedTupleClassInStub] import foo [file foo.pyi] from typing import NamedTuple class A(NamedTuple): x: int [builtins fixtures/tuple.pyi] [case testNamedTupleAttributesAreReadOnly] from collections import namedtuple X = namedtuple('X', 'x y') x: X x.x = 5 # E: Property "x" defined in "X" is read-only x.y = 5 # E: Property "y" defined in "X" is read-only x.z = 5 # E: "X" has no attribute "z" class A(X): pass a: A a.x = 5 # E: Property "x" defined in "X" is read-only a.y = 5 # E: Property "y" defined in "X" is read-only -- a.z = 5 # not supported yet [builtins fixtures/tuple.pyi] [case testTypingNamedTupleAttributesAreReadOnly] from typing import NamedTuple, Protocol class HasX(Protocol): x: str class A(NamedTuple): x: str a: HasX = A("foo") a.x = "bar" [builtins fixtures/tuple.pyi] [out] main:9: error: Incompatible types in assignment (expression has type "A", variable has type "HasX") main:9: note: Protocol member HasX.x expected settable variable, got read-only attribute [case testNamedTupleCreateWithPositionalArguments] from collections import namedtuple X = namedtuple('X', 'x y') x = X(1, 'x') x.x x.z # E: "X" has no attribute "z" x = X(1) # E: Missing positional argument "y" in call to "X" x = X(1, 2, 3) # E: Too many arguments for "X" [builtins fixtures/tuple.pyi] [case testCreateNamedTupleWithKeywordArguments] from collections import namedtuple X = namedtuple('X', 'x y') x = X(x=1, y='x') x = X(1, y='x') x = X(x=1, z=1) # E: Unexpected keyword argument "z" for "X" x = X(y=1) # E: Missing positional argument "x" in call to "X" [builtins fixtures/tuple.pyi] [case testNamedTupleCreateAndUseAsTuple] from collections import namedtuple X = namedtuple('X', 'x y') x = X(1, 'x') a, b = x a, b, c = x # E: Need more than 2 values to unpack (3 expected) [builtins fixtures/tuple.pyi] [case testNamedTupleAdditionalArgs] from collections import namedtuple A = namedtuple('A', 'a b') B = namedtuple('B', 'a b', rename=1) C = namedtuple('C', 'a b', rename='not a bool') D = namedtuple('D', 'a b', unrecognized_arg=False) E = namedtuple('E', 'a b', 0) [builtins fixtures/bool.pyi] [out] main:4: error: Boolean literal expected as the "rename" argument to namedtuple() main:5: error: Boolean literal expected as the "rename" argument to namedtuple() main:5: error: Argument "rename" to "namedtuple" has incompatible type "str"; expected "int" main:6: error: Unexpected keyword argument "unrecognized_arg" for "namedtuple" /test-data/unit/lib-stub/collections.pyi:3: note: "namedtuple" defined here main:7: error: Too many positional arguments for "namedtuple" [case testNamedTupleDefaults] from collections import namedtuple X = namedtuple('X', ['x', 'y'], defaults=(1,)) X() # E: Missing positional argument "x" in call to "X" X(0) # ok X(0, 1) # ok X(0, 1, 2) # E: Too many arguments for "X" Y = namedtuple('Y', ['x', 'y'], defaults=(1, 2, 3)) # E: Too many defaults given in call to "namedtuple()" Z = namedtuple('Z', ['x', 'y'], defaults='not a tuple') # E: List or tuple literal expected as the defaults argument to namedtuple() # E: Argument "defaults" to "namedtuple" has incompatible type "str"; expected "Optional[Iterable[Any]]" [builtins fixtures/list.pyi] [case testNamedTupleRename] from collections import namedtuple X = namedtuple('X', ['abc', 'def'], rename=False) # E: "namedtuple()" field name "def" is a keyword Y = namedtuple('Y', ['x', 'x', 'def', '42', '_x'], rename=True) y = Y(x=0, _1=1, _2=2, _3=3, _4=4) reveal_type(y.x) # N: Revealed type is "Any" reveal_type(y._1) # N: Revealed type is "Any" reveal_type(y._2) # N: Revealed type is "Any" reveal_type(y._3) # N: Revealed type is "Any" reveal_type(y._4) # N: Revealed type is "Any" y._0 # E: "Y" has no attribute "_0" y._5 # E: "Y" has no attribute "_5" y._x # E: "Y" has no attribute "_x" [builtins fixtures/list.pyi] [case testNamedTupleWithItemTypes] from typing import NamedTuple N = NamedTuple('N', [('a', int), ('b', str)]) n = N(1, 'x') s = n.a # type: str # E: Incompatible types in assignment (expression has type "int", \ variable has type "str") i = n.b # type: int # E: Incompatible types in assignment (expression has type "str", \ variable has type "int") x, y = n if int(): x = y # E: Incompatible types in assignment (expression has type "str", variable has type "int") [targets __main__, __main__.N.__new__, __main__.N._asdict, __main__.N._make, __main__.N._replace] [builtins fixtures/tuple.pyi] [case testNamedTupleWithTupleFieldNamesWithItemTypes] from typing import NamedTuple N = NamedTuple('N', (('a', int), ('b', str))) n = N(1, 'x') s = n.a # type: str # E: Incompatible types in assignment (expression has type "int", \ variable has type "str") i = n.b # type: int # E: Incompatible types in assignment (expression has type "str", \ variable has type "int") x, y = n if int(): x = y # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/tuple.pyi] [case testNamedTupleConstructorArgumentTypes] from typing import NamedTuple N = NamedTuple('N', [('a', int), ('b', str)]) n = N('x', 'x') # E: Argument 1 to "N" has incompatible type "str"; expected "int" n = N(1, b=2) # E: Argument "b" to "N" has incompatible type "int"; expected "str" N(1, 'x') N(b='x', a=1) [builtins fixtures/tuple.pyi] [case testNamedTupleAsBaseClass] from typing import NamedTuple N = NamedTuple('N', [('a', int), ('b', str)]) class X(N): pass x = X(1, 2) # E: Argument 2 to "X" has incompatible type "int"; expected "str" s = '' i = 0 if int(): s = x.a # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): i, s = x if int(): s, s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/tuple.pyi] [case testNamedTupleAsBaseClass2] from typing import NamedTuple class X(NamedTuple('N', [('a', int), ('b', str)])): pass x = X(1, 2) # E: Argument 2 to "X" has incompatible type "int"; expected "str" s = '' i = 0 if int(): s = x.a # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): i, s = x if int(): s, s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/tuple.pyi] [case testNamedTuplesTwoAsBaseClasses] from typing import NamedTuple A = NamedTuple('A', [('a', int)]) B = NamedTuple('B', [('a', int)]) class X(A, B): # E: Class has two incompatible bases derived from tuple pass [builtins fixtures/tuple.pyi] [case testNamedTuplesTwoAsBaseClasses2] from typing import NamedTuple A = NamedTuple('A', [('a', int)]) class X(A, NamedTuple('B', [('a', int)])): # E: Class has two incompatible bases derived from tuple pass [builtins fixtures/tuple.pyi] [case testNamedTupleSelfTypeWithNamedTupleAsBase] from typing import NamedTuple A = NamedTuple('A', [('a', int), ('b', str)]) class B(A): def f(self, x: int) -> None: self.f(self.a) self.f(self.b) # E: Argument 1 to "f" of "B" has incompatible type "str"; expected "int" i = 0 s = '' if int(): i, s = self i, i = self # E: Incompatible types in assignment (expression has type "str", \ variable has type "int") [builtins fixtures/tuple.pyi] [out] [case testNamedTupleTypeReferenceToClassDerivedFrom] from typing import NamedTuple A = NamedTuple('A', [('a', int), ('b', str)]) class B(A): def f(self, x: 'B') -> None: i = 0 s = '' if int(): self = x i, s = x i, s = x.a, x.b i, s = x.a, x.a # E: Incompatible types in assignment (expression has type "int", \ variable has type "str") i, i = self # E: Incompatible types in assignment (expression has type "str", \ variable has type "int") [builtins fixtures/tuple.pyi] [out] [case testNamedTupleSubtyping] from typing import NamedTuple, Tuple A = NamedTuple('A', [('a', int), ('b', str)]) class B(A): pass a = A(1, '') b = B(1, '') t: Tuple[int, str] if int(): b = a # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = t # E: Incompatible types in assignment (expression has type "tuple[int, str]", variable has type "A") if int(): b = t # E: Incompatible types in assignment (expression has type "tuple[int, str]", variable has type "B") if int(): t = a if int(): t = (1, '') if int(): t = b if int(): a = b [builtins fixtures/tuple.pyi] [case testNamedTupleSimpleTypeInference] from typing import NamedTuple, Tuple A = NamedTuple('A', [('a', int)]) l = [A(1), A(2)] a = A(1) if int(): a = l[0] (i,) = l[0] if int(): i, i = l[0] # E: Need more than 1 value to unpack (2 expected) if int(): l = [A(1)] if int(): a = (1,) # E: Incompatible types in assignment (expression has type "tuple[int]", \ variable has type "A") [builtins fixtures/list.pyi] [case testNamedTupleMissingClassAttribute] import collections MyNamedTuple = collections.namedtuple('MyNamedTuple', ['spam', 'eggs']) MyNamedTuple.x # E: "type[MyNamedTuple]" has no attribute "x" [builtins fixtures/list.pyi] [case testNamedTupleEmptyItems] from typing import NamedTuple A = NamedTuple('A', []) [builtins fixtures/tuple.pyi] [case testNamedTupleProperty] from typing import NamedTuple A = NamedTuple('A', [('a', int)]) class B(A): @property def b(self) -> int: return self.a class C(B): pass B(1).b C(2).b [builtins fixtures/property.pyi] [case testNamedTupleAsDict] from collections import namedtuple X = namedtuple('X', ['x', 'y']) x: X reveal_type(x._asdict()) # N: Revealed type is "builtins.dict[builtins.str, Any]" [builtins fixtures/dict.pyi] [case testNamedTupleReplace] from collections import namedtuple X = namedtuple('X', ['x', 'y']) x: X reveal_type(x._replace()) # N: Revealed type is "tuple[Any, Any, fallback=__main__.X]" x._replace(y=5) x._replace(x=3) x._replace(x=3, y=5) x._replace(z=5) # E: Unexpected keyword argument "z" for "_replace" of "X" x._replace(5) # E: Too many positional arguments for "_replace" of "X" [builtins fixtures/list.pyi] [case testNamedTupleReplaceAsClass] # flags: --no-strict-optional from collections import namedtuple X = namedtuple('X', ['x', 'y']) x = None # type: X X._replace(x, x=1, y=2) X._replace(x=1, y=2) # E: Missing positional argument "_self" in call to "_replace" of "X" [builtins fixtures/list.pyi] [case testNamedTupleReplaceTyped] from typing import NamedTuple X = NamedTuple('X', [('x', int), ('y', str)]) x: X reveal_type(x._replace()) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.X]" x._replace(x=5) x._replace(y=5) # E: Argument "y" to "_replace" of "X" has incompatible type "int"; expected "str" [builtins fixtures/tuple.pyi] [case testNamedTupleMake] from typing import NamedTuple X = NamedTuple('X', [('x', int), ('y', str)]) reveal_type(X._make([5, 'a'])) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.X]" X._make('a b') # E: Argument 1 to "_make" of "X" has incompatible type "str"; expected "Iterable[Any]" -- # FIX: not a proper class method -- x: X -- reveal_type(x._make([5, 'a'])) # N: Revealed type is "Tuple[builtins.int, builtins.str, fallback=__main__.X]" -- x._make('a b') # E: Argument 1 to "_make" of "X" has incompatible type "str"; expected Iterable[Any] [builtins fixtures/list.pyi] [case testNamedTupleFields] from typing import NamedTuple X = NamedTuple('X', [('x', int), ('y', str)]) reveal_type(X._fields) # N: Revealed type is "tuple[builtins.str, builtins.str]" [builtins fixtures/tuple.pyi] [case testNamedTupleSource] from typing import NamedTuple X = NamedTuple('X', [('x', int), ('y', str)]) reveal_type(X._source) # N: Revealed type is "builtins.str" x: X reveal_type(x._source) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testNamedTupleUnit] from typing import NamedTuple X = NamedTuple('X', []) x = X() # type: X x._replace() x._fields[0] # E: Tuple index out of range [builtins fixtures/tuple.pyi] [case testNamedTupleJoinNamedTuple] from typing import NamedTuple X = NamedTuple('X', [('x', int), ('y', str)]) Y = NamedTuple('Y', [('x', int), ('y', str)]) reveal_type([X(3, 'b'), Y(1, 'a')]) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str]]" [builtins fixtures/list.pyi] [case testNamedTupleJoinTuple] from typing import NamedTuple, Tuple X = NamedTuple('X', [('x', int), ('y', str)]) reveal_type([(3, 'b'), X(1, 'a')]) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str]]" reveal_type([X(1, 'a'), (3, 'b')]) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str]]" [builtins fixtures/list.pyi] [case testNamedTupleFieldTypes] from typing import NamedTuple X = NamedTuple('X', [('x', int), ('y', str)]) reveal_type(X._field_types) # N: Revealed type is "builtins.dict[builtins.str, Any]" x: X reveal_type(x._field_types) # N: Revealed type is "builtins.dict[builtins.str, Any]" [builtins fixtures/dict.pyi] [case testNamedTupleAndOtherSuperclass] from typing import NamedTuple class A: pass def f(x: A) -> None: pass class B(NamedTuple('B', []), A): pass f(B()) x: A if int(): x = B() # Sanity check: fail if baseclass does not match class C: pass def g(x: C) -> None: pass class D(NamedTuple('D', []), A): pass g(D()) # E: Argument 1 to "g" has incompatible type "D"; expected "C" y: C if int(): y = D() # E: Incompatible types in assignment (expression has type "D", variable has type "C") [builtins fixtures/tuple.pyi] [case testNamedTupleSelfTypeMethod] from typing import TypeVar, NamedTuple T = TypeVar('T', bound='A') class A(NamedTuple('A', [('x', str)])): def member(self: T) -> T: return self class B(A): pass a: A a = A('').member() b: B b = B('').member() a = B('') a = B('').member() [builtins fixtures/tuple.pyi] [case testNamedTupleSelfTypeReplace] from typing import NamedTuple, TypeVar A = NamedTuple('A', [('x', str)]) reveal_type(A('hello')._replace(x='')) # N: Revealed type is "tuple[builtins.str, fallback=__main__.A]" a: A a = A('hello')._replace(x='') class B(A): pass reveal_type(B('hello')._replace(x='')) # N: Revealed type is "tuple[builtins.str, fallback=__main__.B]" b: B b = B('hello')._replace(x='') [builtins fixtures/tuple.pyi] [case testNamedTupleSelfTypeMake] from typing import NamedTuple, TypeVar A = NamedTuple('A', [('x', str)]) reveal_type(A._make([''])) # N: Revealed type is "tuple[builtins.str, fallback=__main__.A]" a = A._make(['']) # type: A class B(A): pass reveal_type(B._make([''])) # N: Revealed type is "tuple[builtins.str, fallback=__main__.B]" b = B._make(['']) # type: B [builtins fixtures/list.pyi] [case testNamedTupleIncompatibleRedefinition] from typing import NamedTuple class Crash(NamedTuple): count: int # E: Incompatible types in assignment (expression has type "int", base class "tuple" defined the type as "Callable[[object], int]") [builtins fixtures/tuple.pyi] [case testNamedTupleInClassNamespace] # https://github.com/python/mypy/pull/2553#issuecomment-266474341 from typing import NamedTuple class C: def f(self): A = NamedTuple('A', [('x', int)]) def g(self): A = NamedTuple('A', [('y', int)]) C.A # E: "type[C]" has no attribute "A" [builtins fixtures/tuple.pyi] [case testNamedTupleInFunction] from typing import NamedTuple def f() -> None: A = NamedTuple('A', [('x', int)]) A # E: Name "A" is not defined [builtins fixtures/tuple.pyi] [case testNamedTupleForwardAsUpperBound] # flags: --disable-error-code=used-before-def from typing import NamedTuple, TypeVar, Generic T = TypeVar('T', bound='M') class G(Generic[T]): x: T yb: G[int] # E: Type argument "int" of "G" must be a subtype of "M" yg: G[M] reveal_type(G[M]().x.x) # N: Revealed type is "builtins.int" reveal_type(G[M]().x[0]) # N: Revealed type is "builtins.int" M = NamedTuple('M', [('x', int)]) [builtins fixtures/tuple.pyi] [out] [case testNamedTupleWithImportCycle] import a [file a.py] from collections import namedtuple from b import f N = namedtuple('N', 'a') class X(N): pass [file b.py] import a def f(x: a.X) -> None: reveal_type(x) x = a.X(1) reveal_type(x) [builtins fixtures/tuple.pyi] [out] tmp/b.py:4: note: Revealed type is "tuple[Any, fallback=a.X]" tmp/b.py:6: note: Revealed type is "tuple[Any, fallback=a.X]" [case testNamedTupleWithImportCycle2] import a [file a.py] from collections import namedtuple from b import f N = namedtuple('N', 'a') [file b.py] import a def f(x: a.N) -> None: reveal_type(x) if int(): x = a.N(1) reveal_type(x) [builtins fixtures/tuple.pyi] [out] tmp/b.py:4: note: Revealed type is "tuple[Any, fallback=a.N]" tmp/b.py:7: note: Revealed type is "tuple[Any, fallback=a.N]" [case testSimpleSelfReferentialNamedTuple] from typing import NamedTuple def test() -> None: class MyNamedTuple(NamedTuple): parent: 'MyNamedTuple' # E: Cannot resolve name "MyNamedTuple" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope def bar(nt: MyNamedTuple) -> MyNamedTuple: return nt x: MyNamedTuple reveal_type(x.parent) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] -- Some crazy self-referential named tuples and types dicts -- to be sure that everything works [case testCrossFileNamedTupleForwardRefs] import a [file a.py] import b from typing import Any, NamedTuple class A: def a(self, b: 'b.B') -> str: return 'a' ATuple = NamedTuple('ATuple', [('a', Any)]) [file b.py] import a class B: def b(self, a: 'a.A') -> str: return 'b' def aWithTuple(self, atuple: 'a.ATuple') -> str: return 'a' [builtins fixtures/tuple.pyi] [out] [case testSelfRefNT1] from typing import Tuple, NamedTuple def test() -> None: Node = NamedTuple('Node', [ ('name', str), ('children', Tuple['Node', ...]), # E: Cannot resolve name "Node" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope ]) n: Node reveal_type(n) # N: Revealed type is "tuple[builtins.str, builtins.tuple[Any, ...], fallback=__main__.Node@4]" [builtins fixtures/tuple.pyi] [case testSelfRefNT2] from typing import Tuple, NamedTuple def test() -> None: A = NamedTuple('A', [ ('x', str), ('y', Tuple['B', ...]), # E: Cannot resolve name "B" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope ]) class B(NamedTuple): x: A y: int n: A reveal_type(n) # N: Revealed type is "tuple[builtins.str, builtins.tuple[Any, ...], fallback=__main__.A@4]" [builtins fixtures/tuple.pyi] [case testSelfRefNT3] from typing import NamedTuple, Tuple def test() -> None: class B(NamedTuple): x: Tuple[A, int] # E: Cannot resolve name "A" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope y: int A = NamedTuple('A', [ ('x', str), ('y', 'B'), ]) n: B m: A reveal_type(n.x) # N: Revealed type is "tuple[Any, builtins.int]" reveal_type(m[0]) # N: Revealed type is "builtins.str" lst = [m, n] reveal_type(lst[0]) # N: Revealed type is "tuple[builtins.object, builtins.object]" [builtins fixtures/tuple.pyi] [case testSelfRefNT4] from typing import NamedTuple def test() -> None: class B(NamedTuple): x: A # E: Cannot resolve name "A" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope y: int class A(NamedTuple): x: str y: B n: A reveal_type(n.y[0]) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testSelfRefNT5] from typing import NamedTuple def test() -> None: B = NamedTuple('B', [ ('x', A), # E: Cannot resolve name "A" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope \ # E: Name "A" is used before definition ('y', int), ]) A = NamedTuple('A', [ ('x', str), ('y', 'B'), ]) n: A def f(m: B) -> None: pass reveal_type(n) # N: Revealed type is "tuple[builtins.str, tuple[Any, builtins.int, fallback=__main__.B@4], fallback=__main__.A@8]" reveal_type(f) # N: Revealed type is "def (m: tuple[Any, builtins.int, fallback=__main__.B@4])" [builtins fixtures/tuple.pyi] [case testRecursiveNamedTupleInBases] from typing import List, NamedTuple, Union def test() -> None: Exp = Union['A', 'B'] # E: Cannot resolve name "Exp" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope \ # E: Cannot resolve name "A" (possible cyclic definition) class A(NamedTuple('A', [('attr', List[Exp])])): pass class B(NamedTuple('B', [('val', object)])): pass exp: Exp reveal_type(exp) # N: Revealed type is "Union[Any, tuple[builtins.object, fallback=__main__.B@6]]" if isinstance(exp, A): reveal_type(exp[0][0]) # N: Revealed type is "Union[Any, tuple[builtins.object, fallback=__main__.B@6]]" reveal_type(exp.attr[0]) # N: Revealed type is "Union[Any, tuple[builtins.object, fallback=__main__.B@6]]" if isinstance(exp, B): reveal_type(exp.val) # N: Revealed type is "builtins.object" reveal_type(A([B(1), B(2)])) # N: Revealed type is "tuple[builtins.list[Union[Any, tuple[builtins.object, fallback=__main__.B@6]]], fallback=__main__.A@5]" [builtins fixtures/isinstancelist.pyi] [out] [case testNamedTupleImportCycle] import b [file a.py] class C: pass from b import tp x: tp reveal_type(x.x) # N: Revealed type is "builtins.int" reveal_type(tp) # N: Revealed type is "def (x: builtins.int) -> tuple[builtins.int, fallback=b.tp]" tp('x') # E: Argument 1 to "tp" has incompatible type "str"; expected "int" [file b.py] from a import C from typing import NamedTuple tp = NamedTuple('tp', [('x', int)]) [builtins fixtures/tuple.pyi] [out] [case testSubclassOfRecursiveNamedTuple] from typing import List, NamedTuple def test() -> None: class Command(NamedTuple): subcommands: List['Command'] # E: Cannot resolve name "Command" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope class HelpCommand(Command): pass hc = HelpCommand(subcommands=[]) reveal_type(hc) # N: Revealed type is "tuple[builtins.list[Any], fallback=__main__.HelpCommand@7]" [builtins fixtures/list.pyi] [out] [case testUnsafeOverlappingNamedTuple] from typing import NamedTuple class Real(NamedTuple): def __sub__(self, other: Real) -> str: return "" class Fraction(Real): def __rsub__(self, other: Real) -> Real: return other # E: Signatures of "__rsub__" of "Fraction" and "__sub__" of "Real" are unsafely overlapping [builtins fixtures/tuple.pyi] [case testForwardReferenceInNamedTuple] from typing import NamedTuple class A(NamedTuple): b: 'B' x: int class B: pass [builtins fixtures/tuple.pyi] [case testTypeNamedTupleClassmethod] from typing import Type, NamedTuple class D(NamedTuple): @classmethod def f(cls) -> None: pass d: Type[D] d.g() # E: "type[D]" has no attribute "g" d.f() [builtins fixtures/classmethod.pyi] [case testTypeNamedTupleCall] from typing import NamedTuple Thing = NamedTuple('Thing', [('s', str), ('n', int)]) class CallableTuple(Thing): def __call__(self) -> None: pass o = CallableTuple('hello ', 12) o() [builtins fixtures/tuple.pyi] [case testNamedTupleSubclassMulti] from typing import NamedTuple class Base: pass class BaseTuple(NamedTuple): value: float class MyTuple(BaseTuple, Base): pass def f(o: Base) -> None: if isinstance(o, MyTuple): reveal_type(o.value) # N: Revealed type is "builtins.float" [builtins fixtures/isinstance.pyi] [out] [case testNamedTupleNew] from typing import NamedTuple Base = NamedTuple('Base', [('param', int)]) class Child(Base): def __new__(cls, param: int = 1) -> 'Child': return Base.__new__(cls, param) Base(param=10) Child(param=10) [builtins fixtures/tuple.pyi] [case testNamedTupleClassMethodWithGenericReturnValue] from typing import TypeVar, Type, NamedTuple T = TypeVar('T', bound='Parent') class Parent(NamedTuple): x: str @classmethod def class_method(cls: Type[T]) -> T: return cls(x='text') class Child(Parent): pass reveal_type(Child.class_method()) # N: Revealed type is "tuple[builtins.str, fallback=__main__.Child]" [builtins fixtures/classmethod.pyi] [case testNamedTupleAsConditionalStrictOptionalDisabled] # flags: --no-strict-optional --warn-unreachable from typing import NamedTuple class C(NamedTuple): a: int b: str a: C if not a: 1() # E: "int" not callable b = (1, 2) if not b: ''() # E: "str" not callable [builtins fixtures/tuple.pyi] [case testNamedTupleDoubleForward] # flags: --disable-error-code=used-before-def from typing import Union, Mapping, NamedTuple class MyBaseTuple(NamedTuple): base_field_1: int base_field_2: int MyBaseTupleMapping = Mapping[MyBaseTuple, int] MyTupleUnion = Union[MyTupleA, MyTupleB] class MyTupleA(NamedTuple): field_1: MyBaseTupleMapping field_2: MyBaseTuple class MyTupleB(NamedTuple): field_1: MyBaseTupleMapping field_2: MyBaseTuple u: MyTupleUnion reveal_type(u.field_1) # N: Revealed type is "typing.Mapping[tuple[builtins.int, builtins.int, fallback=__main__.MyBaseTuple], builtins.int]" reveal_type(u.field_2) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.MyBaseTuple]" reveal_type(u[0]) # N: Revealed type is "typing.Mapping[tuple[builtins.int, builtins.int, fallback=__main__.MyBaseTuple], builtins.int]" reveal_type(u[1]) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.MyBaseTuple]" [builtins fixtures/tuple.pyi] [case testAssignNamedTupleAsAttribute] from typing import NamedTuple class A: def __init__(self) -> None: self.b = NamedTuple('x', [('s', str), ('n', int)]) # E: NamedTuple type as an attribute is not supported reveal_type(A().b) # N: Revealed type is "typing.NamedTuple" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testEmptyNamedTupleTypeRepr] from typing import NamedTuple N = NamedTuple('N', []) n: N reveal_type(N) # N: Revealed type is "def () -> tuple[(), fallback=__main__.N]" reveal_type(n) # N: Revealed type is "tuple[(), fallback=__main__.N]" [builtins fixtures/tuple.pyi] [case testNamedTupleWrongfile] from typing import NamedTuple from b import Type1 Type2 = NamedTuple('Type2', [('x', Type1)]) [file b.py] from typing import NamedTuple def foo(): pass Type1 = NamedTuple('Type1', [('foo', foo)]) # E: Function "b.foo" is not valid as a type # N: Perhaps you need "Callable[...]" or a callback protocol? [builtins fixtures/tuple.pyi] [case testNamedTupleTypeNameMatchesVariableName] from typing import NamedTuple from collections import namedtuple A = NamedTuple('X', [('a', int)]) # E: First argument to namedtuple() should be "A", not "X" B = namedtuple('X', ['a']) # E: First argument to namedtuple() should be "B", not "X" C = NamedTuple('X', [('a', 'Y')]) # E: First argument to namedtuple() should be "C", not "X" class Y: ... [builtins fixtures/tuple.pyi] [case testNamedTupleTypeIsASuperTypeOfOtherNamedTuples] from typing import Tuple, NamedTuple class Bar(NamedTuple): name: str = "Bar" class Baz(NamedTuple): a: str b: str class Biz(Baz): ... class Other: ... class Both1(Bar, Other): ... class Both2(Other, Bar): ... class Both3(Biz, Other): ... def print_namedtuple(obj: NamedTuple) -> None: reveal_type(obj._fields) # N: Revealed type is "builtins.tuple[builtins.str, ...]" b1: Bar b2: Baz b3: Biz b4: Both1 b5: Both2 b6: Both3 print_namedtuple(b1) # ok print_namedtuple(b2) # ok print_namedtuple(b3) # ok print_namedtuple(b4) # ok print_namedtuple(b5) # ok print_namedtuple(b6) # ok print_namedtuple(1) # E: Argument 1 to "print_namedtuple" has incompatible type "int"; expected "NamedTuple" print_namedtuple(('bar',)) # E: Argument 1 to "print_namedtuple" has incompatible type "tuple[str]"; expected "NamedTuple" print_namedtuple((1, 2)) # E: Argument 1 to "print_namedtuple" has incompatible type "tuple[int, int]"; expected "NamedTuple" print_namedtuple((b1,)) # E: Argument 1 to "print_namedtuple" has incompatible type "tuple[Bar]"; expected "NamedTuple" t: Tuple[str, ...] print_namedtuple(t) # E: Argument 1 to "print_namedtuple" has incompatible type "tuple[str, ...]"; expected "NamedTuple" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleTypeIsASuperTypeOfOtherNamedTuplesReturns] from typing import Tuple, NamedTuple class Bar(NamedTuple): n: int class Baz(NamedTuple): a: str b: str class Biz(Bar): ... class Other: ... class Both1(Bar, Other): ... class Both2(Other, Bar): ... class Both3(Biz, Other): ... def good1() -> NamedTuple: b: Bar return b def good2() -> NamedTuple: b: Baz return b def good3() -> NamedTuple: b: Biz return b def good4() -> NamedTuple: b: Both1 return b def good5() -> NamedTuple: b: Both2 return b def good6() -> NamedTuple: b: Both3 return b def bad1() -> NamedTuple: return 1 # E: Incompatible return value type (got "int", expected "NamedTuple") def bad2() -> NamedTuple: return () # E: Incompatible return value type (got "tuple[()]", expected "NamedTuple") def bad3() -> NamedTuple: return (1, 2) # E: Incompatible return value type (got "tuple[int, int]", expected "NamedTuple") [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testBoolInTuplesRegression] # https://github.com/python/mypy/issues/11701 from typing import NamedTuple, Literal, List, Tuple C = NamedTuple("C", [("x", Literal[True, False])]) T = Tuple[Literal[True, False]] # Was error here: # Incompatible types in assignment (expression has type "list[C]", variable has type "list[C]") x: List[C] = [C(True)] t: T # Was error here: # Incompatible types in assignment (expression has type "list[tuple[bool]]", # variable has type "list[tuple[Union[Literal[True], Literal[False]]]]") y: List[T] = [t] [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleWithBoolNarrowsToBool] # flags: --warn-unreachable from typing import NamedTuple class C(NamedTuple): x: int def __bool__(self) -> bool: pass def foo(c: C) -> None: if c: reveal_type(c) # N: Revealed type is "tuple[builtins.int, fallback=__main__.C]" else: reveal_type(c) # N: Revealed type is "tuple[builtins.int, fallback=__main__.C]" def bar(c: C) -> None: if not c: reveal_type(c) # N: Revealed type is "tuple[builtins.int, fallback=__main__.C]" else: reveal_type(c) # N: Revealed type is "tuple[builtins.int, fallback=__main__.C]" class C1(NamedTuple): x: int def foo1(c: C1) -> None: if c: reveal_type(c) # N: Revealed type is "tuple[builtins.int, fallback=__main__.C1]" else: c # E: Statement is unreachable def bar1(c: C1) -> None: if not c: c # E: Statement is unreachable else: reveal_type(c) # N: Revealed type is "tuple[builtins.int, fallback=__main__.C1]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testInvalidNamedTupleWithinFunction] from collections import namedtuple def f(fields) -> None: TupleType = namedtuple("TupleType", fields) \ # E: List or tuple literal expected as the second argument to "namedtuple()" class InheritFromTuple(TupleType): pass t: TupleType it: InheritFromTuple NT2 = namedtuple("bad", "x") # E: First argument to namedtuple() should be "NT2", not "bad" nt2: NT2 = NT2(x=1) [builtins fixtures/tuple.pyi] [case testNamedTupleHasMatchArgs] # flags: --python-version 3.10 from typing import NamedTuple class One(NamedTuple): bar: int baz: str o: One reveal_type(o.__match_args__) # N: Revealed type is "tuple[Literal['bar'], Literal['baz']]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleHasNoMatchArgsOldVersion] # flags: --python-version 3.9 from typing import NamedTuple class One(NamedTuple): bar: int baz: str o: One reveal_type(o.__match_args__) # E: "One" has no attribute "__match_args__" \ # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleNoBytes] from collections import namedtuple from typing import NamedTuple NT1 = namedtuple('NT1', b'x y z') # E: List or tuple literal expected as the second argument to "namedtuple()" NT2 = namedtuple(b'NT2', 'x y z') # E: "namedtuple()" expects a string literal as the first argument \ # E: Argument 1 to "namedtuple" has incompatible type "bytes"; expected "str" NT3 = namedtuple('NT3', [b'x', 'y']) # E: String literal expected as "namedtuple()" item NT4 = NamedTuple('NT4', [('x', int), (b'y', int)]) # E: Invalid "NamedTuple()" field name NT5 = NamedTuple(b'NT5', [('x', int), ('y', int)]) # E: "NamedTuple()" expects a string literal as the first argument [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleCreation] from typing import Generic, NamedTuple, TypeVar T = TypeVar("T") class NT(NamedTuple, Generic[T]): key: int value: T nts: NT[str] reveal_type(nts) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.NT[builtins.str]]" reveal_type(nts.value) # N: Revealed type is "builtins.str" nti = NT(key=0, value=0) reveal_type(nti) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.NT[builtins.int]]" reveal_type(nti.value) # N: Revealed type is "builtins.int" NT[str](key=0, value=0) # E: Argument "value" to "NT" has incompatible type "int"; expected "str" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleAlias] from typing import NamedTuple, Generic, TypeVar, List T = TypeVar("T") class NT(NamedTuple, Generic[T]): key: int value: T Alias = NT[List[T]] an: Alias[str] reveal_type(an) # N: Revealed type is "tuple[builtins.int, builtins.list[builtins.str], fallback=__main__.NT[builtins.list[builtins.str]]]" Alias[str](key=0, value=0) # E: Argument "value" to "NT" has incompatible type "int"; expected "list[str]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleMethods] from typing import Generic, NamedTuple, TypeVar T = TypeVar("T") class NT(NamedTuple, Generic[T]): key: int value: T x: int nti: NT[int] reveal_type(nti * x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" nts: NT[str] reveal_type(nts * x) # N: Revealed type is "builtins.tuple[Union[builtins.int, builtins.str], ...]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleCustomMethods] from typing import Generic, NamedTuple, TypeVar T = TypeVar("T") class NT(NamedTuple, Generic[T]): key: int value: T def foo(self) -> T: ... @classmethod def from_value(cls, value: T) -> NT[T]: ... nts: NT[str] reveal_type(nts.foo()) # N: Revealed type is "builtins.str" nti = NT.from_value(1) reveal_type(nti) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.NT[builtins.int]]" NT[str].from_value(1) # E: Argument 1 to "from_value" of "NT" has incompatible type "int"; expected "str" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleSubtyping] from typing import Generic, NamedTuple, TypeVar, Tuple T = TypeVar("T") class NT(NamedTuple, Generic[T]): key: int value: T nts: NT[str] nti: NT[int] def foo(x: Tuple[int, ...]) -> None: ... foo(nti) foo(nts) # E: Argument 1 to "foo" has incompatible type "NT[str]"; expected "tuple[int, ...]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleJoin] from typing import Generic, NamedTuple, TypeVar, Tuple T = TypeVar("T", covariant=True) class NT(NamedTuple, Generic[T]): key: int value: T nts: NT[str] nti: NT[int] x: Tuple[int, ...] S = TypeVar("S") def foo(x: S, y: S) -> S: ... reveal_type(foo(nti, nti)) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.NT[builtins.int]]" reveal_type(foo(nti, nts)) # N: Revealed type is "tuple[builtins.int, builtins.object, fallback=__main__.NT[builtins.object]]" reveal_type(foo(nts, nti)) # N: Revealed type is "tuple[builtins.int, builtins.object, fallback=__main__.NT[builtins.object]]" reveal_type(foo(nti, x)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(foo(nts, x)) # N: Revealed type is "builtins.tuple[Union[builtins.int, builtins.str], ...]" reveal_type(foo(x, nti)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(foo(x, nts)) # N: Revealed type is "builtins.tuple[Union[builtins.int, builtins.str], ...]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleCallSyntax] from typing import NamedTuple, TypeVar T = TypeVar("T") NT = NamedTuple("NT", [("key", int), ("value", T)]) reveal_type(NT) # N: Revealed type is "def [T] (key: builtins.int, value: T`1) -> tuple[builtins.int, T`1, fallback=__main__.NT[T`1]]" nts: NT[str] reveal_type(nts) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.NT[builtins.str]]" nti = NT(key=0, value=0) reveal_type(nti) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.NT[builtins.int]]" NT[str](key=0, value=0) # E: Argument "value" to "NT" has incompatible type "int"; expected "str" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleNoLegacySyntax] from typing import TypeVar, NamedTuple T = TypeVar("T") class C( NamedTuple("_C", [("x", int), ("y", T)]) # E: Generic named tuples are not supported for legacy class syntax \ # N: Use either Python 3 class syntax, or the assignment syntax ): ... [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleSelfItemNotAllowed] from typing import Self, NamedTuple, Optional class NT(NamedTuple): val: int next: Optional[Self] # E: Self type cannot be used in NamedTuple item type NTC = NamedTuple("NTC", [("val", int), ("next", Optional[Self])]) # E: Self type cannot be used in NamedTuple item type [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleTypingSelfMethod] from typing import Self, NamedTuple, TypeVar, Generic T = TypeVar("T") class NT(NamedTuple, Generic[T]): key: str val: T def meth(self) -> Self: nt: NT[int] if bool(): return nt._replace() # E: Incompatible return value type (got "NT[int]", expected "Self") else: return self._replace() class SNT(NT[int]): ... reveal_type(SNT("test", 42).meth()) # N: Revealed type is "tuple[builtins.str, builtins.int, fallback=__main__.SNT]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNoCrashUnsupportedNamedTuple] from typing import NamedTuple class Test: def __init__(self, field) -> None: self.Item = NamedTuple("x", [(field, str)]) # E: NamedTuple type as an attribute is not supported self.item: self.Item # E: Name "self.Item" is not defined [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNoClassKeywordsForNamedTuple] from typing import NamedTuple class Test1(NamedTuple, x=1, y=2): # E: Unexpected keyword argument "x" for "__init_subclass__" of "NamedTuple" \ # E: Unexpected keyword argument "y" for "__init_subclass__" of "NamedTuple" ... class Meta(type): ... class Test2(NamedTuple, metaclass=Meta): # E: Unexpected keyword argument "metaclass" for "__init_subclass__" of "NamedTuple" ... # Technically this would work, but it is just easier for the implementation: class Test3(NamedTuple, metaclass=type): # E: Unexpected keyword argument "metaclass" for "__init_subclass__" of "NamedTuple" ... [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleDunderReplace] # flags: --python-version 3.13 from typing import NamedTuple class A(NamedTuple): x: int A(x=0).__replace__(x=1) A(x=0).__replace__(x="asdf") # E: Argument "x" to "__replace__" of "A" has incompatible type "str"; expected "int" A(x=0).__replace__(y=1) # E: Unexpected keyword argument "y" for "__replace__" of "A" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testUnpackSelfNamedTuple] import typing class Foo(typing.NamedTuple): bar: int def baz(self: typing.Self) -> None: x, = self reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNameErrorInNamedTupleNestedInFunction1] from typing import NamedTuple def bar() -> None: class MyNamedTuple(NamedTuple): a: int def foo(self) -> None: ... int_set: Set[int] # E: Name "Set" is not defined \ # N: Did you forget to import it from "typing"? (Suggestion: "from typing import Set") [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNameErrorInNamedTupleNestedInFunction2] from typing import NamedTuple def bar() -> None: class MyNamedTuple(NamedTuple): a: int def foo(self) -> None: misspelled_var_name # E: Name "misspelled_var_name" is not defined [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleFinalAndClassVar] from typing import NamedTuple, Final, ClassVar class My(NamedTuple): a: Final # E: Final[...] can't be used inside a NamedTuple b: Final[int] # E: Final[...] can't be used inside a NamedTuple c: ClassVar # E: ClassVar[...] can't be used inside a NamedTuple d: ClassVar[int] # E: ClassVar[...] can't be used inside a NamedTuple Func = NamedTuple('Func', [ ('a', Final), # E: Final[...] can't be used inside a NamedTuple ('b', Final[int]), # E: Final[...] can't be used inside a NamedTuple ('c', ClassVar), # E: ClassVar[...] can't be used inside a NamedTuple ('d', ClassVar[int]), # E: ClassVar[...] can't be used inside a NamedTuple ]) [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testGenericNamedTupleRecursiveBound] from typing import Generic, NamedTuple, TypeVar T = TypeVar("T", bound="NT") class NT(NamedTuple, Generic[T]): parent: T item: int def main(n: NT[T]) -> None: reveal_type(n.parent) # N: Revealed type is "T`-1" reveal_type(n.item) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [typing fixtures/typing-namedtuple.pyi] [case testNamedTupleOverlappingCheck] from typing import overload, NamedTuple, Union class AKey(NamedTuple): k: str class A(NamedTuple): key: AKey class BKey(NamedTuple): k: str class B(NamedTuple): key: BKey @overload def f(arg: A) -> A: ... @overload def f(arg: B) -> B: ... def f(arg: Union[A, B]) -> Union[A, B]: ... def g(x: Union[A, B, str]) -> Union[A, B, str]: if isinstance(x, str): return x else: reveal_type(x) # N: Revealed type is "Union[tuple[tuple[builtins.str, fallback=__main__.AKey], fallback=__main__.A], tuple[tuple[builtins.str, fallback=__main__.BKey], fallback=__main__.B]]" return x._replace() # no errors should be raised above. [builtins fixtures/tuple.pyi] [case testNamedTupleUnionAnyMethodCall] from collections import namedtuple from typing import Any, Union T = namedtuple("T", ["x"]) class C(T): def f(self) -> bool: return True c: Union[C, Any] reveal_type(c.f()) # N: Revealed type is "Union[builtins.bool, Any]" [builtins fixtures/tuple.pyi] [case testNamedTupleAsClassMemberNoCrash] # https://github.com/python/mypy/issues/18736 from collections import namedtuple class Base: def __init__(self, namespace: tuple[str, ...]) -> None: # Not a bug: trigger defer names = [name for name in namespace if fail] # E: Name "fail" is not defined self.n = namedtuple("n", names) # E: NamedTuple type as an attribute is not supported [builtins fixtures/tuple.pyi] [case testNamedTupleDefaultValueDefer] # flags: --debug-serialize from typing import NamedTuple class NT(NamedTuple): foo: int = UNDEFINED # E: Name "UNDEFINED" is not defined [builtins fixtures/tuple.pyi] [case testNamedTupleDefaultValueDefer2] # flags: --debug-serialize from typing import NamedTuple class NT(NamedTuple): foo: int = DEFERRED_INT class NT2(NamedTuple): foo: int = DEFERRED_STR # E: Incompatible types in assignment (expression has type "str", variable has type "int") from foo import DEFERRED_INT, DEFERRED_STR [file foo.py] DEFERRED_INT = 1 DEFERRED_STR = "a" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-narrowing.test0000644000175100017510000025302115112307767021111 0ustar00runnerrunner[case testNarrowingParentWithStrsBasic] from dataclasses import dataclass from typing import Literal, NamedTuple, Tuple, TypedDict, Union class Object1: key: Literal["A"] foo: int class Object2: key: Literal["B"] bar: str @dataclass class Dataclass1: key: Literal["A"] foo: int @dataclass class Dataclass2: key: Literal["B"] foo: str class NamedTuple1(NamedTuple): key: Literal["A"] foo: int class NamedTuple2(NamedTuple): key: Literal["B"] foo: str Tuple1 = Tuple[Literal["A"], int] Tuple2 = Tuple[Literal["B"], str] class TypedDict1(TypedDict): key: Literal["A"] foo: int class TypedDict2(TypedDict): key: Literal["B"] foo: str x1: Union[Object1, Object2] if x1.key == "A": reveal_type(x1) # N: Revealed type is "__main__.Object1" reveal_type(x1.key) # N: Revealed type is "Literal['A']" else: reveal_type(x1) # N: Revealed type is "__main__.Object2" reveal_type(x1.key) # N: Revealed type is "Literal['B']" x2: Union[Dataclass1, Dataclass2] if x2.key == "A": reveal_type(x2) # N: Revealed type is "__main__.Dataclass1" reveal_type(x2.key) # N: Revealed type is "Literal['A']" else: reveal_type(x2) # N: Revealed type is "__main__.Dataclass2" reveal_type(x2.key) # N: Revealed type is "Literal['B']" x3: Union[NamedTuple1, NamedTuple2] if x3.key == "A": reveal_type(x3) # N: Revealed type is "tuple[Literal['A'], builtins.int, fallback=__main__.NamedTuple1]" reveal_type(x3.key) # N: Revealed type is "Literal['A']" else: reveal_type(x3) # N: Revealed type is "tuple[Literal['B'], builtins.str, fallback=__main__.NamedTuple2]" reveal_type(x3.key) # N: Revealed type is "Literal['B']" if x3[0] == "A": reveal_type(x3) # N: Revealed type is "tuple[Literal['A'], builtins.int, fallback=__main__.NamedTuple1]" reveal_type(x3[0]) # N: Revealed type is "Literal['A']" else: reveal_type(x3) # N: Revealed type is "tuple[Literal['B'], builtins.str, fallback=__main__.NamedTuple2]" reveal_type(x3[0]) # N: Revealed type is "Literal['B']" x4: Union[Tuple1, Tuple2] if x4[0] == "A": reveal_type(x4) # N: Revealed type is "tuple[Literal['A'], builtins.int]" reveal_type(x4[0]) # N: Revealed type is "Literal['A']" else: reveal_type(x4) # N: Revealed type is "tuple[Literal['B'], builtins.str]" reveal_type(x4[0]) # N: Revealed type is "Literal['B']" x5: Union[TypedDict1, TypedDict2] if x5["key"] == "A": reveal_type(x5) # N: Revealed type is "TypedDict('__main__.TypedDict1', {'key': Literal['A'], 'foo': builtins.int})" else: reveal_type(x5) # N: Revealed type is "TypedDict('__main__.TypedDict2', {'key': Literal['B'], 'foo': builtins.str})" [builtins fixtures/primitives.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingParentWithEnumsBasic] from enum import Enum from dataclasses import dataclass from typing import Literal, NamedTuple, Tuple, TypedDict, Union class Key(Enum): A = 1 B = 2 C = 3 class Object1: key: Literal[Key.A] foo: int class Object2: key: Literal[Key.B] bar: str @dataclass class Dataclass1: key: Literal[Key.A] foo: int @dataclass class Dataclass2: key: Literal[Key.B] foo: str class NamedTuple1(NamedTuple): key: Literal[Key.A] foo: int class NamedTuple2(NamedTuple): key: Literal[Key.B] foo: str Tuple1 = Tuple[Literal[Key.A], int] Tuple2 = Tuple[Literal[Key.B], str] class TypedDict1(TypedDict): key: Literal[Key.A] foo: int class TypedDict2(TypedDict): key: Literal[Key.B] foo: str x1: Union[Object1, Object2] if x1.key is Key.A: reveal_type(x1) # N: Revealed type is "__main__.Object1" reveal_type(x1.key) # N: Revealed type is "Literal[__main__.Key.A]" else: reveal_type(x1) # N: Revealed type is "__main__.Object2" reveal_type(x1.key) # N: Revealed type is "Literal[__main__.Key.B]" x2: Union[Dataclass1, Dataclass2] if x2.key is Key.A: reveal_type(x2) # N: Revealed type is "__main__.Dataclass1" reveal_type(x2.key) # N: Revealed type is "Literal[__main__.Key.A]" else: reveal_type(x2) # N: Revealed type is "__main__.Dataclass2" reveal_type(x2.key) # N: Revealed type is "Literal[__main__.Key.B]" x3: Union[NamedTuple1, NamedTuple2] if x3.key is Key.A: reveal_type(x3) # N: Revealed type is "tuple[Literal[__main__.Key.A], builtins.int, fallback=__main__.NamedTuple1]" reveal_type(x3.key) # N: Revealed type is "Literal[__main__.Key.A]" else: reveal_type(x3) # N: Revealed type is "tuple[Literal[__main__.Key.B], builtins.str, fallback=__main__.NamedTuple2]" reveal_type(x3.key) # N: Revealed type is "Literal[__main__.Key.B]" if x3[0] is Key.A: reveal_type(x3) # N: Revealed type is "tuple[Literal[__main__.Key.A], builtins.int, fallback=__main__.NamedTuple1]" reveal_type(x3[0]) # N: Revealed type is "Literal[__main__.Key.A]" else: reveal_type(x3) # N: Revealed type is "tuple[Literal[__main__.Key.B], builtins.str, fallback=__main__.NamedTuple2]" reveal_type(x3[0]) # N: Revealed type is "Literal[__main__.Key.B]" x4: Union[Tuple1, Tuple2] if x4[0] is Key.A: reveal_type(x4) # N: Revealed type is "tuple[Literal[__main__.Key.A], builtins.int]" reveal_type(x4[0]) # N: Revealed type is "Literal[__main__.Key.A]" else: reveal_type(x4) # N: Revealed type is "tuple[Literal[__main__.Key.B], builtins.str]" reveal_type(x4[0]) # N: Revealed type is "Literal[__main__.Key.B]" x5: Union[TypedDict1, TypedDict2] if x5["key"] is Key.A: reveal_type(x5) # N: Revealed type is "TypedDict('__main__.TypedDict1', {'key': Literal[__main__.Key.A], 'foo': builtins.int})" else: reveal_type(x5) # N: Revealed type is "TypedDict('__main__.TypedDict2', {'key': Literal[__main__.Key.B], 'foo': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingParentWithIsInstanceBasic] from dataclasses import dataclass from typing import NamedTuple, Tuple, TypedDict, Union class Object1: key: int class Object2: key: str @dataclass class Dataclass1: key: int @dataclass class Dataclass2: key: str class NamedTuple1(NamedTuple): key: int class NamedTuple2(NamedTuple): key: str Tuple1 = Tuple[int] Tuple2 = Tuple[str] class TypedDict1(TypedDict): key: int class TypedDict2(TypedDict): key: str x1: Union[Object1, Object2] if isinstance(x1.key, int): reveal_type(x1) # N: Revealed type is "__main__.Object1" else: reveal_type(x1) # N: Revealed type is "__main__.Object2" x2: Union[Dataclass1, Dataclass2] if isinstance(x2.key, int): reveal_type(x2) # N: Revealed type is "__main__.Dataclass1" else: reveal_type(x2) # N: Revealed type is "__main__.Dataclass2" x3: Union[NamedTuple1, NamedTuple2] if isinstance(x3.key, int): reveal_type(x3) # N: Revealed type is "tuple[builtins.int, fallback=__main__.NamedTuple1]" else: reveal_type(x3) # N: Revealed type is "tuple[builtins.str, fallback=__main__.NamedTuple2]" if isinstance(x3[0], int): reveal_type(x3) # N: Revealed type is "tuple[builtins.int, fallback=__main__.NamedTuple1]" else: reveal_type(x3) # N: Revealed type is "tuple[builtins.str, fallback=__main__.NamedTuple2]" x4: Union[Tuple1, Tuple2] if isinstance(x4[0], int): reveal_type(x4) # N: Revealed type is "tuple[builtins.int]" else: reveal_type(x4) # N: Revealed type is "tuple[builtins.str]" x5: Union[TypedDict1, TypedDict2] if isinstance(x5["key"], int): reveal_type(x5) # N: Revealed type is "TypedDict('__main__.TypedDict1', {'key': builtins.int})" else: reveal_type(x5) # N: Revealed type is "TypedDict('__main__.TypedDict2', {'key': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingParentMultipleKeys] # flags: --warn-unreachable from enum import Enum from typing import Literal, Union class Key(Enum): A = 1 B = 2 C = 3 D = 4 class Object1: key: Literal[Key.A, Key.C] class Object2: key: Literal[Key.B, Key.C] x: Union[Object1, Object2] if x.key is Key.A: reveal_type(x) # N: Revealed type is "__main__.Object1" else: reveal_type(x) # N: Revealed type is "Union[__main__.Object1, __main__.Object2]" if x.key is Key.C: reveal_type(x) # N: Revealed type is "Union[__main__.Object1, __main__.Object2]" else: reveal_type(x) # N: Revealed type is "Union[__main__.Object1, __main__.Object2]" if x.key is Key.D: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "Union[__main__.Object1, __main__.Object2]" [builtins fixtures/tuple.pyi] [case testNarrowingTypedDictParentMultipleKeys] # flags: --warn-unreachable from typing import Literal, TypedDict, Union class TypedDict1(TypedDict): key: Literal['A', 'C'] class TypedDict2(TypedDict): key: Literal['B', 'C'] x: Union[TypedDict1, TypedDict2] if x['key'] == 'A': reveal_type(x) # N: Revealed type is "TypedDict('__main__.TypedDict1', {'key': Union[Literal['A'], Literal['C']]})" else: reveal_type(x) # N: Revealed type is "Union[TypedDict('__main__.TypedDict1', {'key': Union[Literal['A'], Literal['C']]}), TypedDict('__main__.TypedDict2', {'key': Union[Literal['B'], Literal['C']]})]" if x['key'] == 'C': reveal_type(x) # N: Revealed type is "Union[TypedDict('__main__.TypedDict1', {'key': Union[Literal['A'], Literal['C']]}), TypedDict('__main__.TypedDict2', {'key': Union[Literal['B'], Literal['C']]})]" else: reveal_type(x) # N: Revealed type is "Union[TypedDict('__main__.TypedDict1', {'key': Union[Literal['A'], Literal['C']]}), TypedDict('__main__.TypedDict2', {'key': Union[Literal['B'], Literal['C']]})]" if x['key'] == 'D': reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "Union[TypedDict('__main__.TypedDict1', {'key': Union[Literal['A'], Literal['C']]}), TypedDict('__main__.TypedDict2', {'key': Union[Literal['B'], Literal['C']]})]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingPartialTypedDictParentMultipleKeys] # flags: --warn-unreachable from typing import Literal, TypedDict, Union class TypedDict1(TypedDict, total=False): key: Literal['A', 'C'] class TypedDict2(TypedDict, total=False): key: Literal['B', 'C'] x: Union[TypedDict1, TypedDict2] if x['key'] == 'A': reveal_type(x) # N: Revealed type is "TypedDict('__main__.TypedDict1', {'key'?: Union[Literal['A'], Literal['C']]})" else: reveal_type(x) # N: Revealed type is "Union[TypedDict('__main__.TypedDict1', {'key'?: Union[Literal['A'], Literal['C']]}), TypedDict('__main__.TypedDict2', {'key'?: Union[Literal['B'], Literal['C']]})]" if x['key'] == 'C': reveal_type(x) # N: Revealed type is "Union[TypedDict('__main__.TypedDict1', {'key'?: Union[Literal['A'], Literal['C']]}), TypedDict('__main__.TypedDict2', {'key'?: Union[Literal['B'], Literal['C']]})]" else: reveal_type(x) # N: Revealed type is "Union[TypedDict('__main__.TypedDict1', {'key'?: Union[Literal['A'], Literal['C']]}), TypedDict('__main__.TypedDict2', {'key'?: Union[Literal['B'], Literal['C']]})]" if x['key'] == 'D': reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "Union[TypedDict('__main__.TypedDict1', {'key'?: Union[Literal['A'], Literal['C']]}), TypedDict('__main__.TypedDict2', {'key'?: Union[Literal['B'], Literal['C']]})]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingNestedTypedDicts] from typing import Literal, TypedDict, Union class A(TypedDict): key: Literal['A'] class B(TypedDict): key: Literal['B'] class C(TypedDict): key: Literal['C'] class X(TypedDict): inner: Union[A, B] class Y(TypedDict): inner: Union[B, C] unknown: Union[X, Y] if unknown['inner']['key'] == 'A': reveal_type(unknown) # N: Revealed type is "TypedDict('__main__.X', {'inner': Union[TypedDict('__main__.A', {'key': Literal['A']}), TypedDict('__main__.B', {'key': Literal['B']})]})" reveal_type(unknown['inner']) # N: Revealed type is "TypedDict('__main__.A', {'key': Literal['A']})" if unknown['inner']['key'] == 'B': reveal_type(unknown) # N: Revealed type is "Union[TypedDict('__main__.X', {'inner': Union[TypedDict('__main__.A', {'key': Literal['A']}), TypedDict('__main__.B', {'key': Literal['B']})]}), TypedDict('__main__.Y', {'inner': Union[TypedDict('__main__.B', {'key': Literal['B']}), TypedDict('__main__.C', {'key': Literal['C']})]})]" reveal_type(unknown['inner']) # N: Revealed type is "TypedDict('__main__.B', {'key': Literal['B']})" if unknown['inner']['key'] == 'C': reveal_type(unknown) # N: Revealed type is "TypedDict('__main__.Y', {'inner': Union[TypedDict('__main__.B', {'key': Literal['B']}), TypedDict('__main__.C', {'key': Literal['C']})]})" reveal_type(unknown['inner']) # N: Revealed type is "TypedDict('__main__.C', {'key': Literal['C']})" [builtins fixtures/primitives.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingParentWithMultipleParents] from enum import Enum from typing import Literal, Union class Key(Enum): A = 1 B = 2 C = 3 class Object1: key: Literal[Key.A] class Object2: key: Literal[Key.B] class Object3: key: Literal[Key.C] class Object4: key: str x: Union[Object1, Object2, Object3, Object4] if x.key is Key.A: reveal_type(x) # N: Revealed type is "__main__.Object1" else: reveal_type(x) # N: Revealed type is "Union[__main__.Object2, __main__.Object3, __main__.Object4]" if isinstance(x.key, str): reveal_type(x) # N: Revealed type is "__main__.Object4" else: reveal_type(x) # N: Revealed type is "Union[__main__.Object1, __main__.Object2, __main__.Object3]" [builtins fixtures/isinstance.pyi] [case testNarrowingParentsWithGenerics] from typing import Union, TypeVar, Generic T = TypeVar('T') class Wrapper(Generic[T]): key: T x: Union[Wrapper[int], Wrapper[str]] if isinstance(x.key, int): reveal_type(x) # N: Revealed type is "__main__.Wrapper[builtins.int]" else: reveal_type(x) # N: Revealed type is "__main__.Wrapper[builtins.str]" [builtins fixtures/isinstance.pyi] [case testNarrowingParentWithParentMixtures] from enum import Enum from typing import Literal, Union, NamedTuple, TypedDict class Key(Enum): A = 1 B = 2 C = 3 class KeyedObject: key: Literal[Key.A] class KeyedTypedDict(TypedDict): key: Literal[Key.B] class KeyedNamedTuple(NamedTuple): key: Literal[Key.C] ok_mixture: Union[KeyedObject, KeyedNamedTuple] if ok_mixture.key is Key.A: reveal_type(ok_mixture) # N: Revealed type is "__main__.KeyedObject" else: reveal_type(ok_mixture) # N: Revealed type is "tuple[Literal[__main__.Key.C], fallback=__main__.KeyedNamedTuple]" impossible_mixture: Union[KeyedObject, KeyedTypedDict] if impossible_mixture.key is Key.A: # E: Item "KeyedTypedDict" of "Union[KeyedObject, KeyedTypedDict]" has no attribute "key" reveal_type(impossible_mixture) # N: Revealed type is "Union[__main__.KeyedObject, TypedDict('__main__.KeyedTypedDict', {'key': Literal[__main__.Key.B]})]" else: reveal_type(impossible_mixture) # N: Revealed type is "Union[__main__.KeyedObject, TypedDict('__main__.KeyedTypedDict', {'key': Literal[__main__.Key.B]})]" if impossible_mixture["key"] is Key.A: # E: Value of type "Union[KeyedObject, KeyedTypedDict]" is not indexable reveal_type(impossible_mixture) # N: Revealed type is "Union[__main__.KeyedObject, TypedDict('__main__.KeyedTypedDict', {'key': Literal[__main__.Key.B]})]" else: reveal_type(impossible_mixture) # N: Revealed type is "Union[__main__.KeyedObject, TypedDict('__main__.KeyedTypedDict', {'key': Literal[__main__.Key.B]})]" weird_mixture: Union[KeyedTypedDict, KeyedNamedTuple] if weird_mixture["key"] is Key.B: # E: No overload variant of "__getitem__" of "tuple" matches argument type "str" \ # N: Possible overload variants: \ # N: def __getitem__(self, int, /) -> Literal[Key.C] \ # N: def __getitem__(self, slice, /) -> tuple[Literal[Key.C], ...] reveal_type(weird_mixture) # N: Revealed type is "Union[TypedDict('__main__.KeyedTypedDict', {'key': Literal[__main__.Key.B]}), tuple[Literal[__main__.Key.C], fallback=__main__.KeyedNamedTuple]]" else: reveal_type(weird_mixture) # N: Revealed type is "Union[TypedDict('__main__.KeyedTypedDict', {'key': Literal[__main__.Key.B]}), tuple[Literal[__main__.Key.C], fallback=__main__.KeyedNamedTuple]]" if weird_mixture[0] is Key.B: # E: TypedDict key must be a string literal; expected one of ("key") reveal_type(weird_mixture) # N: Revealed type is "Union[TypedDict('__main__.KeyedTypedDict', {'key': Literal[__main__.Key.B]}), tuple[Literal[__main__.Key.C], fallback=__main__.KeyedNamedTuple]]" else: reveal_type(weird_mixture) # N: Revealed type is "Union[TypedDict('__main__.KeyedTypedDict', {'key': Literal[__main__.Key.B]}), tuple[Literal[__main__.Key.C], fallback=__main__.KeyedNamedTuple]]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testNarrowingParentWithProperties] from enum import Enum from typing import Literal, Union class Key(Enum): A = 1 B = 2 C = 3 class Object1: key: Literal[Key.A] class Object2: @property def key(self) -> Literal[Key.A]: ... class Object3: @property def key(self) -> Literal[Key.B]: ... x: Union[Object1, Object2, Object3] if x.key is Key.A: reveal_type(x) # N: Revealed type is "Union[__main__.Object1, __main__.Object2]" else: reveal_type(x) # N: Revealed type is "__main__.Object3" [builtins fixtures/property.pyi] [case testNarrowingParentWithAny] from enum import Enum from typing import Literal, Union, Any class Key(Enum): A = 1 B = 2 C = 3 class Object1: key: Literal[Key.A] class Object2: key: Literal[Key.B] x: Union[Object1, Object2, Any] if x.key is Key.A: reveal_type(x.key) # N: Revealed type is "Literal[__main__.Key.A]" reveal_type(x) # N: Revealed type is "Union[__main__.Object1, Any]" else: # TODO: Is this a bug? Should we skip inferring Any for singleton types? reveal_type(x.key) # N: Revealed type is "Union[Any, Literal[__main__.Key.B]]" reveal_type(x) # N: Revealed type is "Union[__main__.Object1, __main__.Object2, Any]" [builtins fixtures/tuple.pyi] [case testNarrowingParentsHierarchy] from typing import Literal, Union from enum import Enum class Key(Enum): A = 1 B = 2 C = 3 class Parent1: child: Union[Child1, Child2] class Parent2: child: Union[Child2, Child3] class Parent3: child: Union[Child3, Child1] class Child1: main: Literal[Key.A] same_for_1_and_2: Literal[Key.A] class Child2: main: Literal[Key.B] same_for_1_and_2: Literal[Key.A] class Child3: main: Literal[Key.C] same_for_1_and_2: Literal[Key.B] x: Union[Parent1, Parent2, Parent3] if x.child.main is Key.A: reveal_type(x) # N: Revealed type is "Union[__main__.Parent1, __main__.Parent3]" reveal_type(x.child) # N: Revealed type is "__main__.Child1" else: reveal_type(x) # N: Revealed type is "Union[__main__.Parent1, __main__.Parent2, __main__.Parent3]" reveal_type(x.child) # N: Revealed type is "Union[__main__.Child2, __main__.Child3]" if x.child.same_for_1_and_2 is Key.A: reveal_type(x) # N: Revealed type is "Union[__main__.Parent1, __main__.Parent2, __main__.Parent3]" reveal_type(x.child) # N: Revealed type is "Union[__main__.Child1, __main__.Child2]" else: reveal_type(x) # N: Revealed type is "Union[__main__.Parent2, __main__.Parent3]" reveal_type(x.child) # N: Revealed type is "__main__.Child3" y: Union[Parent1, Parent2] if y.child.main is Key.A: reveal_type(y) # N: Revealed type is "__main__.Parent1" reveal_type(y.child) # N: Revealed type is "__main__.Child1" else: reveal_type(y) # N: Revealed type is "Union[__main__.Parent1, __main__.Parent2]" reveal_type(y.child) # N: Revealed type is "Union[__main__.Child2, __main__.Child3]" if y.child.same_for_1_and_2 is Key.A: reveal_type(y) # N: Revealed type is "Union[__main__.Parent1, __main__.Parent2]" reveal_type(y.child) # N: Revealed type is "Union[__main__.Child1, __main__.Child2]" else: reveal_type(y) # N: Revealed type is "__main__.Parent2" reveal_type(y.child) # N: Revealed type is "__main__.Child3" [builtins fixtures/tuple.pyi] [case testNarrowingParentsHierarchyGenerics] from typing import Generic, TypeVar, Union T = TypeVar('T') class Model(Generic[T]): attr: T class A: model: Model[int] class B: model: Model[str] x: Union[A, B] if isinstance(x.model.attr, int): reveal_type(x) # N: Revealed type is "__main__.A" reveal_type(x.model) # N: Revealed type is "__main__.Model[builtins.int]" else: reveal_type(x) # N: Revealed type is "__main__.B" reveal_type(x.model) # N: Revealed type is "__main__.Model[builtins.str]" [builtins fixtures/isinstance.pyi] [case testNarrowingParentsHierarchyTypedDict] # flags: --warn-unreachable from typing import Literal, TypedDict, Union from enum import Enum class Key(Enum): A = 1 B = 2 C = 3 class Parent1(TypedDict): model: Model1 foo: int class Parent2(TypedDict): model: Model2 bar: str class Model1(TypedDict): key: Literal[Key.A] class Model2(TypedDict): key: Literal[Key.B] x: Union[Parent1, Parent2] if x["model"]["key"] is Key.A: reveal_type(x) # N: Revealed type is "TypedDict('__main__.Parent1', {'model': TypedDict('__main__.Model1', {'key': Literal[__main__.Key.A]}), 'foo': builtins.int})" reveal_type(x["model"]) # N: Revealed type is "TypedDict('__main__.Model1', {'key': Literal[__main__.Key.A]})" else: reveal_type(x) # N: Revealed type is "TypedDict('__main__.Parent2', {'model': TypedDict('__main__.Model2', {'key': Literal[__main__.Key.B]}), 'bar': builtins.str})" reveal_type(x["model"]) # N: Revealed type is "TypedDict('__main__.Model2', {'key': Literal[__main__.Key.B]})" y: Union[Parent1, Parent2] if y["model"]["key"] is Key.C: reveal_type(y) # E: Statement is unreachable reveal_type(y["model"]) else: reveal_type(y) # N: Revealed type is "Union[TypedDict('__main__.Parent1', {'model': TypedDict('__main__.Model1', {'key': Literal[__main__.Key.A]}), 'foo': builtins.int}), TypedDict('__main__.Parent2', {'model': TypedDict('__main__.Model2', {'key': Literal[__main__.Key.B]}), 'bar': builtins.str})]" reveal_type(y["model"]) # N: Revealed type is "Union[TypedDict('__main__.Model1', {'key': Literal[__main__.Key.A]}), TypedDict('__main__.Model2', {'key': Literal[__main__.Key.B]})]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingParentsHierarchyTypedDictWithStr] # flags: --warn-unreachable from typing import Literal, TypedDict, Union class Parent1(TypedDict): model: Model1 foo: int class Parent2(TypedDict): model: Model2 bar: str class Model1(TypedDict): key: Literal['A'] class Model2(TypedDict): key: Literal['B'] x: Union[Parent1, Parent2] if x["model"]["key"] == 'A': reveal_type(x) # N: Revealed type is "TypedDict('__main__.Parent1', {'model': TypedDict('__main__.Model1', {'key': Literal['A']}), 'foo': builtins.int})" reveal_type(x["model"]) # N: Revealed type is "TypedDict('__main__.Model1', {'key': Literal['A']})" else: reveal_type(x) # N: Revealed type is "TypedDict('__main__.Parent2', {'model': TypedDict('__main__.Model2', {'key': Literal['B']}), 'bar': builtins.str})" reveal_type(x["model"]) # N: Revealed type is "TypedDict('__main__.Model2', {'key': Literal['B']})" y: Union[Parent1, Parent2] if y["model"]["key"] == 'C': reveal_type(y) # E: Statement is unreachable reveal_type(y["model"]) else: reveal_type(y) # N: Revealed type is "Union[TypedDict('__main__.Parent1', {'model': TypedDict('__main__.Model1', {'key': Literal['A']}), 'foo': builtins.int}), TypedDict('__main__.Parent2', {'model': TypedDict('__main__.Model2', {'key': Literal['B']}), 'bar': builtins.str})]" reveal_type(y["model"]) # N: Revealed type is "Union[TypedDict('__main__.Model1', {'key': Literal['A']}), TypedDict('__main__.Model2', {'key': Literal['B']})]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingExprPropagation] from typing import Literal, Union class A: tag: Literal['A'] class B: tag: Literal['B'] abo: Union[A, B, None] if abo is not None and abo.tag == "A": reveal_type(abo.tag) # N: Revealed type is "Literal['A']" reveal_type(abo) # N: Revealed type is "__main__.A" if not (abo is None or abo.tag != "B"): reveal_type(abo.tag) # N: Revealed type is "Literal['B']" reveal_type(abo) # N: Revealed type is "__main__.B" [builtins fixtures/primitives.pyi] [case testNarrowingEqualityFlipFlop] # flags: --warn-unreachable --strict-equality from typing import Final, Literal from enum import Enum class State(Enum): A = 1 B = 2 class FlipFlopEnum: def __init__(self) -> None: self.state = State.A def mutate(self) -> None: self.state = State.B if self.state == State.A else State.A class FlipFlopStr: def __init__(self) -> None: self.state = "state-1" def mutate(self) -> None: self.state = "state-2" if self.state == "state-1" else "state-1" def test1(switch: FlipFlopStr) -> None: # Naively, we might assume the 'assert' here would narrow the type to # Literal["state-1"]. However, doing this ends up breaking a fair number of real-world # code (usually test cases) that looks similar to this function: e.g. checks # to make sure a field was mutated to some particular value. # # And since mypy can't really reason about state mutation, we take a conservative # approach and avoid narrowing anything here. assert switch.state == "state-1" reveal_type(switch.state) # N: Revealed type is "builtins.str" switch.mutate() assert switch.state == "state-2" reveal_type(switch.state) # N: Revealed type is "builtins.str" def test2(switch: FlipFlopEnum) -> None: # This is the same thing as 'test1', except we use enums, which we allow to be narrowed # to literals. assert switch.state == State.A reveal_type(switch.state) # N: Revealed type is "Literal[__main__.State.A]" switch.mutate() assert switch.state == State.B # E: Non-overlapping equality check (left operand type: "Literal[State.A]", right operand type: "Literal[State.B]") reveal_type(switch.state) # E: Statement is unreachable def test3(switch: FlipFlopEnum) -> None: # Same thing, but using 'is' comparisons. Previously mypy's behaviour differed # here, narrowing when using 'is', but not when using '=='. assert switch.state is State.A reveal_type(switch.state) # N: Revealed type is "Literal[__main__.State.A]" switch.mutate() assert switch.state is State.B # E: Non-overlapping identity check (left operand type: "Literal[State.A]", right operand type: "Literal[State.B]") reveal_type(switch.state) # E: Statement is unreachable [builtins fixtures/primitives.pyi] [case testNarrowingEqualityRequiresExplicitStrLiteral] from typing import Final, Literal A_final: Final = "A" A_literal: Literal["A"] # Neither the LHS nor the RHS are explicit literals, so regrettably nothing # is narrowed here -- see 'testNarrowingEqualityFlipFlop' for an example of # why more precise inference here is problematic. x_str: str if x_str == "A": reveal_type(x_str) # N: Revealed type is "builtins.str" else: reveal_type(x_str) # N: Revealed type is "builtins.str" reveal_type(x_str) # N: Revealed type is "builtins.str" if x_str == A_final: reveal_type(x_str) # N: Revealed type is "builtins.str" else: reveal_type(x_str) # N: Revealed type is "builtins.str" reveal_type(x_str) # N: Revealed type is "builtins.str" # But the RHS is a literal, so we can at least narrow the 'if' case now. if x_str == A_literal: reveal_type(x_str) # N: Revealed type is "Literal['A']" else: reveal_type(x_str) # N: Revealed type is "builtins.str" reveal_type(x_str) # N: Revealed type is "builtins.str" # But in these two cases, the LHS is a literal/literal-like type. So we # assume the user *does* want literal-based narrowing and narrow accordingly # regardless of whether the RHS is an explicit literal or not. x_union: Literal["A", "B", None] if x_union == A_final: reveal_type(x_union) # N: Revealed type is "Literal['A']" else: reveal_type(x_union) # N: Revealed type is "Union[Literal['B'], None]" reveal_type(x_union) # N: Revealed type is "Union[Literal['A'], Literal['B'], None]" if x_union == A_literal: reveal_type(x_union) # N: Revealed type is "Literal['A']" else: reveal_type(x_union) # N: Revealed type is "Union[Literal['B'], None]" reveal_type(x_union) # N: Revealed type is "Union[Literal['A'], Literal['B'], None]" [builtins fixtures/primitives.pyi] [case testNarrowingEqualityRequiresExplicitEnumLiteral] from typing import Final, Literal, Union from enum import Enum class Foo(Enum): A = 1 B = 2 A_final: Final = Foo.A A_literal: Literal[Foo.A] # Note this is unlike testNarrowingEqualityRequiresExplicitStrLiteral # See also testNarrowingEqualityFlipFlop x1: Foo if x1 == Foo.A: reveal_type(x1) # N: Revealed type is "Literal[__main__.Foo.A]" else: reveal_type(x1) # N: Revealed type is "Literal[__main__.Foo.B]" x2: Foo if x2 == A_final: reveal_type(x2) # N: Revealed type is "Literal[__main__.Foo.A]" else: reveal_type(x2) # N: Revealed type is "Literal[__main__.Foo.B]" # But we let this narrow since there's an explicit literal in the RHS. x3: Foo if x3 == A_literal: reveal_type(x3) # N: Revealed type is "Literal[__main__.Foo.A]" else: reveal_type(x3) # N: Revealed type is "Literal[__main__.Foo.B]" class SingletonFoo(Enum): A = "A" def bar(x: Union[SingletonFoo, Foo], y: SingletonFoo) -> None: if x == y: reveal_type(x) # N: Revealed type is "Literal[__main__.SingletonFoo.A]" [builtins fixtures/primitives.pyi] [case testNarrowingEqualityDisabledForCustomEquality] from typing import Literal, Union from enum import Enum class Custom: def __eq__(self, other: object) -> bool: return True class Default: pass x1: Union[Custom, Literal[1], Literal[2]] if x1 == 1: reveal_type(x1) # N: Revealed type is "Union[__main__.Custom, Literal[1], Literal[2]]" else: reveal_type(x1) # N: Revealed type is "Union[__main__.Custom, Literal[1], Literal[2]]" x2: Union[Default, Literal[1], Literal[2]] if x2 == 1: reveal_type(x2) # N: Revealed type is "Literal[1]" else: reveal_type(x2) # N: Revealed type is "Union[__main__.Default, Literal[2]]" class CustomEnum(Enum): A = 1 B = 2 def __eq__(self, other: object) -> bool: return True x3: CustomEnum key: Literal[CustomEnum.A] if x3 == key: reveal_type(x3) # N: Revealed type is "__main__.CustomEnum" else: reveal_type(x3) # N: Revealed type is "__main__.CustomEnum" # For comparison, this narrows since we bypass __eq__ if x3 is key: reveal_type(x3) # N: Revealed type is "Literal[__main__.CustomEnum.A]" else: reveal_type(x3) # N: Revealed type is "Literal[__main__.CustomEnum.B]" [builtins fixtures/primitives.pyi] [case testNarrowingEqualityDisabledForCustomEqualityChain] # flags: --strict-equality --warn-unreachable from typing import Literal, Union class Custom: def __eq__(self, other: object) -> bool: return True class Default: pass x: Literal[1, 2, None] y: Custom z: Default # We could maybe try doing something clever, but for simplicity we # treat the whole chain as contaminated and mostly disable narrowing. # # The only exception is that we do at least strip away the 'None'. We # (perhaps optimistically) assume no custom class would be pathological # enough to declare itself to be equal to None and so permit this narrowing, # since it's often convenient in practice. if 1 == x == y: reveal_type(x) # N: Revealed type is "Union[Literal[1], Literal[2]]" reveal_type(y) # N: Revealed type is "__main__.Custom" else: reveal_type(x) # N: Revealed type is "Union[Literal[1], Literal[2], None]" reveal_type(y) # N: Revealed type is "__main__.Custom" # No contamination here if 1 == x == z: # E: Non-overlapping equality check (left operand type: "Optional[Literal[1, 2]]", right operand type: "Default") reveal_type(x) # E: Statement is unreachable reveal_type(z) else: reveal_type(x) # N: Revealed type is "Union[Literal[1], Literal[2], None]" reveal_type(z) # N: Revealed type is "__main__.Default" [builtins fixtures/primitives.pyi] [case testNarrowingUnreachableCases] # flags: --strict-equality --warn-unreachable from typing import Literal, Union a: Literal[1] b: Literal[1, 2] c: Literal[2, 3] if a == b == c: reveal_type(a) # E: Statement is unreachable reveal_type(b) reveal_type(c) else: reveal_type(a) # N: Revealed type is "Literal[1]" reveal_type(b) # N: Revealed type is "Union[Literal[1], Literal[2]]" reveal_type(c) # N: Revealed type is "Union[Literal[2], Literal[3]]" if a == a == a: reveal_type(a) # N: Revealed type is "Literal[1]" else: reveal_type(a) # E: Statement is unreachable if a == a == b: reveal_type(a) # N: Revealed type is "Literal[1]" reveal_type(b) # N: Revealed type is "Literal[1]" else: reveal_type(a) # N: Revealed type is "Literal[1]" reveal_type(b) # N: Revealed type is "Literal[2]" # In this case, it's ok for 'b' to narrow down to Literal[1] in the else case # since that's the only way 'b == 2' can be false if b == 2: reveal_type(b) # N: Revealed type is "Literal[2]" else: reveal_type(b) # N: Revealed type is "Literal[1]" # But in this case, we can't conclude anything about the else case. This expression # could end up being either '2 == 2 == 3' or '1 == 2 == 2', which means we can't # conclude anything. if b == 2 == c: reveal_type(b) # N: Revealed type is "Literal[2]" reveal_type(c) # N: Revealed type is "Literal[2]" else: reveal_type(b) # N: Revealed type is "Union[Literal[1], Literal[2]]" reveal_type(c) # N: Revealed type is "Union[Literal[2], Literal[3]]" [builtins fixtures/primitives.pyi] [case testNarrowingUnreachableCases2] # flags: --strict-equality --warn-unreachable from typing import Literal, Union a: Literal[1, 2, 3, 4] b: Literal[1, 2, 3, 4] if a == b == 1: reveal_type(a) # N: Revealed type is "Literal[1]" reveal_type(b) # N: Revealed type is "Literal[1]" elif a == b == 2: reveal_type(a) # N: Revealed type is "Literal[2]" reveal_type(b) # N: Revealed type is "Literal[2]" elif a == b == 3: reveal_type(a) # N: Revealed type is "Literal[3]" reveal_type(b) # N: Revealed type is "Literal[3]" elif a == b == 4: reveal_type(a) # N: Revealed type is "Literal[4]" reveal_type(b) # N: Revealed type is "Literal[4]" else: # This branch is reachable if a == 1 and b == 2, for example. reveal_type(a) # N: Revealed type is "Union[Literal[1], Literal[2], Literal[3], Literal[4]]" reveal_type(b) # N: Revealed type is "Union[Literal[1], Literal[2], Literal[3], Literal[4]]" if a == a == 1: reveal_type(a) # N: Revealed type is "Literal[1]" elif a == a == 2: reveal_type(a) # N: Revealed type is "Literal[2]" elif a == a == 3: reveal_type(a) # N: Revealed type is "Literal[3]" elif a == a == 4: reveal_type(a) # N: Revealed type is "Literal[4]" else: # In contrast, this branch must be unreachable: we assume (maybe naively) # that 'a' won't be mutated in the middle of the expression. reveal_type(a) # E: Statement is unreachable reveal_type(b) [builtins fixtures/primitives.pyi] [case testNarrowingLiteralTruthiness] from typing import Literal, Union str_or_false: Union[Literal[False], str] if str_or_false: reveal_type(str_or_false) # N: Revealed type is "builtins.str" else: reveal_type(str_or_false) # N: Revealed type is "Union[Literal[False], Literal['']]" true_or_false: Literal[True, False] if true_or_false: reveal_type(true_or_false) # N: Revealed type is "Literal[True]" else: reveal_type(true_or_false) # N: Revealed type is "Literal[False]" [builtins fixtures/primitives.pyi] [case testNarrowingFalseyToLiteral] from typing import Union a: str b: bytes c: int d: Union[str, bytes, int] if not a: reveal_type(a) # N: Revealed type is "Literal['']" if not b: reveal_type(b) # N: Revealed type is "Literal[b'']" if not c: reveal_type(c) # N: Revealed type is "Literal[0]" if not d: reveal_type(d) # N: Revealed type is "Union[Literal[''], Literal[b''], Literal[0]]" [case testNarrowingIsInstanceFinalSubclass] # flags: --warn-unreachable from typing import final class N: ... @final class F1: ... @final class F2: ... n: N f1: F1 if isinstance(f1, F1): reveal_type(f1) # N: Revealed type is "__main__.F1" else: reveal_type(f1) # E: Statement is unreachable if isinstance(n, F1): # E: Subclass of "N" and "F1" cannot exist: "F1" is final reveal_type(n) # E: Statement is unreachable else: reveal_type(n) # N: Revealed type is "__main__.N" if isinstance(f1, N): # E: Subclass of "F1" and "N" cannot exist: "F1" is final reveal_type(f1) # E: Statement is unreachable else: reveal_type(f1) # N: Revealed type is "__main__.F1" if isinstance(f1, F2): # E: Subclass of "F1" and "F2" cannot exist: "F1" is final \ # E: Subclass of "F1" and "F2" cannot exist: "F2" is final reveal_type(f1) # E: Statement is unreachable else: reveal_type(f1) # N: Revealed type is "__main__.F1" [builtins fixtures/isinstance.pyi] [case testNarrowingIsInstanceFinalSubclassWithUnions] # flags: --warn-unreachable from typing import final, Union class N: ... @final class F1: ... @final class F2: ... n_f1: Union[N, F1] n_f2: Union[N, F2] f1_f2: Union[F1, F2] if isinstance(n_f1, F1): reveal_type(n_f1) # N: Revealed type is "__main__.F1" else: reveal_type(n_f1) # N: Revealed type is "__main__.N" if isinstance(n_f2, F1): # E: Subclass of "N" and "F1" cannot exist: "F1" is final \ # E: Subclass of "F2" and "F1" cannot exist: "F2" is final \ # E: Subclass of "F2" and "F1" cannot exist: "F1" is final reveal_type(n_f2) # E: Statement is unreachable else: reveal_type(n_f2) # N: Revealed type is "Union[__main__.N, __main__.F2]" if isinstance(f1_f2, F1): reveal_type(f1_f2) # N: Revealed type is "__main__.F1" else: reveal_type(f1_f2) # N: Revealed type is "__main__.F2" [builtins fixtures/isinstance.pyi] [case testNarrowingIsSubclassFinalSubclassWithTypeVar] # flags: --warn-unreachable from typing import final, Type, TypeVar @final class A: ... @final class B: ... T = TypeVar("T", A, B) def f(cls: Type[T]) -> T: if issubclass(cls, A): reveal_type(cls) # N: Revealed type is "type[__main__.A]" x: bool if x: return A() else: return B() # E: Incompatible return value type (got "B", expected "A") assert False reveal_type(f(A)) # N: Revealed type is "__main__.A" reveal_type(f(B)) # N: Revealed type is "__main__.B" [builtins fixtures/isinstance.pyi] [case testNarrowingLiteralIdentityCheck] from typing import Literal, Union str_or_false: Union[Literal[False], str] if str_or_false is not False: reveal_type(str_or_false) # N: Revealed type is "builtins.str" else: reveal_type(str_or_false) # N: Revealed type is "Literal[False]" if str_or_false is False: reveal_type(str_or_false) # N: Revealed type is "Literal[False]" else: reveal_type(str_or_false) # N: Revealed type is "builtins.str" str_or_true: Union[Literal[True], str] if str_or_true is True: reveal_type(str_or_true) # N: Revealed type is "Literal[True]" else: reveal_type(str_or_true) # N: Revealed type is "builtins.str" if str_or_true is not True: reveal_type(str_or_true) # N: Revealed type is "builtins.str" else: reveal_type(str_or_true) # N: Revealed type is "Literal[True]" str_or_bool_literal: Union[Literal[False], Literal[True], str] if str_or_bool_literal is not True: reveal_type(str_or_bool_literal) # N: Revealed type is "Union[Literal[False], builtins.str]" else: reveal_type(str_or_bool_literal) # N: Revealed type is "Literal[True]" if str_or_bool_literal is not True and str_or_bool_literal is not False: reveal_type(str_or_bool_literal) # N: Revealed type is "builtins.str" else: reveal_type(str_or_bool_literal) # N: Revealed type is "builtins.bool" [builtins fixtures/primitives.pyi] [case testNarrowingBooleanIdentityCheck] from typing import Literal, Optional bool_val: bool if bool_val is not False: reveal_type(bool_val) # N: Revealed type is "Literal[True]" else: reveal_type(bool_val) # N: Revealed type is "Literal[False]" opt_bool_val: Optional[bool] if opt_bool_val is not None: reveal_type(opt_bool_val) # N: Revealed type is "builtins.bool" if opt_bool_val is not False: reveal_type(opt_bool_val) # N: Revealed type is "Union[Literal[True], None]" else: reveal_type(opt_bool_val) # N: Revealed type is "Literal[False]" [builtins fixtures/primitives.pyi] [case testNarrowingBooleanTruthiness] from typing import Literal, Optional bool_val: bool if bool_val: reveal_type(bool_val) # N: Revealed type is "Literal[True]" else: reveal_type(bool_val) # N: Revealed type is "Literal[False]" reveal_type(bool_val) # N: Revealed type is "builtins.bool" opt_bool_val: Optional[bool] if opt_bool_val: reveal_type(opt_bool_val) # N: Revealed type is "Literal[True]" else: reveal_type(opt_bool_val) # N: Revealed type is "Union[Literal[False], None]" reveal_type(opt_bool_val) # N: Revealed type is "Union[builtins.bool, None]" [builtins fixtures/primitives.pyi] [case testNarrowingBooleanBoolOp] from typing import Literal, Optional bool_a: bool bool_b: bool if bool_a and bool_b: reveal_type(bool_a) # N: Revealed type is "Literal[True]" reveal_type(bool_b) # N: Revealed type is "Literal[True]" else: reveal_type(bool_a) # N: Revealed type is "builtins.bool" reveal_type(bool_b) # N: Revealed type is "builtins.bool" if not bool_a or bool_b: reveal_type(bool_a) # N: Revealed type is "builtins.bool" reveal_type(bool_b) # N: Revealed type is "builtins.bool" else: reveal_type(bool_a) # N: Revealed type is "Literal[True]" reveal_type(bool_b) # N: Revealed type is "Literal[False]" if True and bool_b: reveal_type(bool_b) # N: Revealed type is "Literal[True]" x = True and bool_b reveal_type(x) # N: Revealed type is "builtins.bool" [builtins fixtures/primitives.pyi] [case testNarrowingTypedDictUsingEnumLiteral] from typing import Literal, TypedDict, Union from enum import Enum class E(Enum): FOO = "a" BAR = "b" class Foo(TypedDict): tag: Literal[E.FOO] x: int class Bar(TypedDict): tag: Literal[E.BAR] y: int def f(d: Union[Foo, Bar]) -> None: assert d['tag'] == E.FOO d['x'] reveal_type(d) # N: Revealed type is "TypedDict('__main__.Foo', {'tag': Literal[__main__.E.FOO], 'x': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingUsingMetaclass] from typing import Type class M(type): pass class C: pass def f(t: Type[C]) -> None: if type(t) is M: reveal_type(t) # N: Revealed type is "type[__main__.C]" else: reveal_type(t) # N: Revealed type is "type[__main__.C]" if type(t) is not M: reveal_type(t) # N: Revealed type is "type[__main__.C]" else: reveal_type(t) # N: Revealed type is "type[__main__.C]" reveal_type(t) # N: Revealed type is "type[__main__.C]" [case testNarrowingUsingTypeVar] from typing import Type, TypeVar class A: pass class B(A): pass T = TypeVar("T", bound=A) def f(t: Type[T], a: A, b: B) -> None: if type(a) is t: reveal_type(a) # N: Revealed type is "T`-1" else: reveal_type(a) # N: Revealed type is "__main__.A" if type(b) is t: reveal_type(b) # N: Revealed type is "T`-1" else: reveal_type(b) # N: Revealed type is "__main__.B" [case testNarrowingNestedUnionOfTypedDicts] from typing import Literal, TypedDict, Union class A(TypedDict): tag: Literal["A"] a: int class B(TypedDict): tag: Literal["B"] b: int class C(TypedDict): tag: Literal["C"] c: int AB = Union[A, B] ABC = Union[AB, C] abc: ABC if abc["tag"] == "A": reveal_type(abc) # N: Revealed type is "TypedDict('__main__.A', {'tag': Literal['A'], 'a': builtins.int})" elif abc["tag"] == "C": reveal_type(abc) # N: Revealed type is "TypedDict('__main__.C', {'tag': Literal['C'], 'c': builtins.int})" else: reveal_type(abc) # N: Revealed type is "TypedDict('__main__.B', {'tag': Literal['B'], 'b': builtins.int})" [builtins fixtures/primitives.pyi] [typing fixtures/typing-typeddict.pyi] [case testNarrowingRuntimeCover] from typing import Dict, List, Union def unreachable(x: Union[str, List[str]]) -> None: if isinstance(x, str): reveal_type(x) # N: Revealed type is "builtins.str" elif isinstance(x, list): reveal_type(x) # N: Revealed type is "builtins.list[builtins.str]" else: reveal_type(x) # No output: this branch is unreachable def all_parts_covered(x: Union[str, List[str], List[int], int]) -> None: if isinstance(x, str): reveal_type(x) # N: Revealed type is "builtins.str" elif isinstance(x, list): reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.str], builtins.list[builtins.int]]" else: reveal_type(x) # N: Revealed type is "builtins.int" def two_type_vars(x: Union[str, Dict[str, int], Dict[bool, object], int]) -> None: if isinstance(x, str): reveal_type(x) # N: Revealed type is "builtins.str" elif isinstance(x, dict): reveal_type(x) # N: Revealed type is "Union[builtins.dict[builtins.str, builtins.int], builtins.dict[builtins.bool, builtins.object]]" else: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [case testNarrowingWithDef] from typing import Callable, Optional def g() -> None: foo: Optional[Callable[[], None]] = None if foo is None: def foo(): ... foo() [builtins fixtures/dict.pyi] [case testNarrowingOptionalEqualsNone] from typing import Optional class A: ... val: Optional[A] if val == None: reveal_type(val) # N: Revealed type is "Union[__main__.A, None]" else: reveal_type(val) # N: Revealed type is "__main__.A" if val != None: reveal_type(val) # N: Revealed type is "__main__.A" else: reveal_type(val) # N: Revealed type is "Union[__main__.A, None]" if val in (None,): reveal_type(val) # N: Revealed type is "Union[__main__.A, None]" else: reveal_type(val) # N: Revealed type is "Union[__main__.A, None]" if val not in (None,): reveal_type(val) # N: Revealed type is "Union[__main__.A, None]" else: reveal_type(val) # N: Revealed type is "Union[__main__.A, None]" [builtins fixtures/primitives.pyi] [case testNarrowingWithTupleOfTypes] from typing import Tuple, Type class Base: ... class Impl1(Base): ... class Impl2(Base): ... impls: Tuple[Type[Base], ...] = (Impl1, Impl2) some: object if isinstance(some, impls): reveal_type(some) # N: Revealed type is "__main__.Base" else: reveal_type(some) # N: Revealed type is "builtins.object" raw: Tuple[type, ...] if isinstance(some, raw): reveal_type(some) # N: Revealed type is "builtins.object" else: reveal_type(some) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [case testNarrowingWithTupleOfTypesPy310Plus] # flags: --python-version 3.10 class Base: ... class Impl1(Base): ... class Impl2(Base): ... some: int | Base impls: tuple[type[Base], ...] = (Impl1, Impl2) if isinstance(some, impls): reveal_type(some) # N: Revealed type is "__main__.Base" else: reveal_type(some) # N: Revealed type is "Union[builtins.int, __main__.Base]" raw: tuple[type, ...] if isinstance(some, raw): reveal_type(some) # N: Revealed type is "Union[builtins.int, __main__.Base]" else: reveal_type(some) # N: Revealed type is "Union[builtins.int, __main__.Base]" [builtins fixtures/dict.pyi] [case testNarrowingWithAnyOps] from typing import Any class C: ... class D(C): ... tp: Any c: C if isinstance(c, tp) or isinstance(c, D): reveal_type(c) # N: Revealed type is "Union[Any, __main__.D]" else: reveal_type(c) # N: Revealed type is "__main__.C" reveal_type(c) # N: Revealed type is "__main__.C" c1: C if isinstance(c1, tp) and isinstance(c1, D): reveal_type(c1) # N: Revealed type is "Any" else: reveal_type(c1) # N: Revealed type is "__main__.C" reveal_type(c1) # N: Revealed type is "__main__.C" c2: C if isinstance(c2, D) or isinstance(c2, tp): reveal_type(c2) # N: Revealed type is "Union[__main__.D, Any]" else: reveal_type(c2) # N: Revealed type is "__main__.C" reveal_type(c2) # N: Revealed type is "__main__.C" c3: C if isinstance(c3, D) and isinstance(c3, tp): reveal_type(c3) # N: Revealed type is "Any" else: reveal_type(c3) # N: Revealed type is "__main__.C" reveal_type(c3) # N: Revealed type is "__main__.C" t: Any if isinstance(t, (list, tuple)) and isinstance(t, tuple): reveal_type(t) # N: Revealed type is "builtins.tuple[Any, ...]" else: reveal_type(t) # N: Revealed type is "Any" reveal_type(t) # N: Revealed type is "Any" [builtins fixtures/isinstancelist.pyi] [case testNarrowingLenItemAndLenCompare] from typing import Any x: Any if len(x) == x: reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/len.pyi] [case testNarrowingLenTuple] from typing import Tuple, Union VarTuple = Union[Tuple[int, int], Tuple[int, int, int]] x: VarTuple a = b = c = 0 if len(x) == 3: a, b, c = x else: a, b = x if len(x) != 3: a, b = x else: a, b, c = x [builtins fixtures/len.pyi] [case testNarrowingLenHomogeneousTuple] from typing import Tuple x: Tuple[int, ...] if len(x) == 3: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.int]" else: reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" if len(x) != 3: reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.int]" [builtins fixtures/len.pyi] [case testNarrowingLenTypeUnaffected] from typing import Union, List x: Union[str, List[int]] if len(x) == 3: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.list[builtins.int]]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.list[builtins.int]]" [builtins fixtures/len.pyi] [case testNarrowingLenAnyListElseNotAffected] from typing import Any def f(self, value: Any) -> Any: if isinstance(value, list) and len(value) == 0: reveal_type(value) # N: Revealed type is "builtins.list[Any]" return value reveal_type(value) # N: Revealed type is "Any" return None [builtins fixtures/len.pyi] [case testNarrowingLenMultiple] from typing import Tuple, Union VarTuple = Union[Tuple[int, int], Tuple[int, int, int]] x: VarTuple y: VarTuple if len(x) == len(y) == 3: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.int]" reveal_type(y) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.int]" [builtins fixtures/len.pyi] [case testNarrowingLenFinal] from typing import Final, Tuple, Union VarTuple = Union[Tuple[int, int], Tuple[int, int, int]] x: VarTuple fin: Final = 3 if len(x) == fin: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.int]" [builtins fixtures/len.pyi] [case testNarrowingLenGreaterThan] from typing import Tuple, Union VarTuple = Union[Tuple[int], Tuple[int, int], Tuple[int, int, int]] x: VarTuple if len(x) > 1: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int]" if len(x) < 2: reveal_type(x) # N: Revealed type is "tuple[builtins.int]" else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" if len(x) >= 2: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int]" if len(x) <= 2: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int], tuple[builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.int]" [builtins fixtures/len.pyi] [case testNarrowingLenBothSidesUnionTuples] from typing import Tuple, Union VarTuple = Union[ Tuple[int], Tuple[int, int], Tuple[int, int, int], Tuple[int, int, int, int], ] x: VarTuple if 2 <= len(x) <= 3: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int], tuple[builtins.int, builtins.int, builtins.int, builtins.int]]" [builtins fixtures/len.pyi] [case testNarrowingLenGreaterThanHomogeneousTupleShort] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple VarTuple = Tuple[int, ...] x: VarTuple if len(x) < 3: reveal_type(x) # N: Revealed type is "Union[tuple[()], tuple[builtins.int], tuple[builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.int, Unpack[builtins.tuple[builtins.int, ...]]]" reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/len.pyi] [case testNarrowingLenBiggerThanHomogeneousTupleLong] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple VarTuple = Tuple[int, ...] x: VarTuple if len(x) < 30: reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" else: reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/len.pyi] [case testNarrowingLenBothSidesHomogeneousTuple] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple x: Tuple[int, ...] if 1 < len(x) < 4: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "Union[tuple[()], tuple[builtins.int], tuple[builtins.int, builtins.int, builtins.int, builtins.int, Unpack[builtins.tuple[builtins.int, ...]]]]" reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/len.pyi] [case testNarrowingLenUnionTupleUnreachable] # flags: --warn-unreachable from typing import Tuple, Union x: Union[Tuple[int, int], Tuple[int, int, int]] if len(x) >= 4: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" if len(x) < 2: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" [builtins fixtures/len.pyi] [case testNarrowingLenMixedTypes] from typing import Tuple, List, Union x: Union[Tuple[int, int], Tuple[int, int, int], List[int]] a = b = c = 0 if len(x) == 3: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int, builtins.int], builtins.list[builtins.int]]" a, b, c = x else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], builtins.list[builtins.int]]" a, b = x if len(x) != 3: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], builtins.list[builtins.int]]" a, b = x else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int, builtins.int], builtins.list[builtins.int]]" a, b, c = x [builtins fixtures/len.pyi] [case testNarrowingLenTypeVarTupleEquals] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def foo(x: Tuple[int, Unpack[Ts], str]) -> None: if len(x) == 5: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" if len(x) != 5: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" [builtins fixtures/len.pyi] [case testNarrowingLenTypeVarTupleGreaterThan] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def foo(x: Tuple[int, Unpack[Ts], str]) -> None: if len(x) > 5: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" reveal_type(x[5]) # N: Revealed type is "builtins.object" reveal_type(x[-6]) # N: Revealed type is "builtins.object" reveal_type(x[-1]) # N: Revealed type is "builtins.str" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" if len(x) < 5: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" x[5] # E: Tuple index out of range \ # N: Variadic tuple can have length 5 x[-6] # E: Tuple index out of range \ # N: Variadic tuple can have length 5 x[2] # E: Tuple index out of range \ # N: Variadic tuple can have length 2 x[-3] # E: Tuple index out of range \ # N: Variadic tuple can have length 2 [builtins fixtures/len.pyi] [case testNarrowingLenTypeVarTupleUnreachable] # flags: --warn-unreachable from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def foo(x: Tuple[int, Unpack[Ts], str]) -> None: if len(x) == 1: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" if len(x) != 1: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" else: reveal_type(x) # E: Statement is unreachable def bar(x: Tuple[int, Unpack[Ts], str]) -> None: if len(x) >= 2: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" else: reveal_type(x) # E: Statement is unreachable if len(x) < 2: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" [builtins fixtures/len.pyi] [case testNarrowingLenVariadicTupleEquals] from typing import Tuple from typing_extensions import Unpack def foo(x: Tuple[int, Unpack[Tuple[float, ...]], str]) -> None: if len(x) == 4: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.float, builtins.float, builtins.str]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" if len(x) != 4: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.float, builtins.float, builtins.str]" [builtins fixtures/len.pyi] [case testNarrowingLenVariadicTupleGreaterThan] from typing import Tuple from typing_extensions import Unpack def foo(x: Tuple[int, Unpack[Tuple[float, ...]], str]) -> None: if len(x) > 3: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.float, builtins.float, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.str], tuple[builtins.int, builtins.float, builtins.str]]" reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" if len(x) < 3: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.str]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.float, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" [builtins fixtures/len.pyi] [case testNarrowingLenVariadicTupleUnreachable] # flags: --warn-unreachable from typing import Tuple from typing_extensions import Unpack def foo(x: Tuple[int, Unpack[Tuple[float, ...]], str]) -> None: if len(x) == 1: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" if len(x) != 1: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" else: reveal_type(x) # E: Statement is unreachable def bar(x: Tuple[int, Unpack[Tuple[float, ...]], str]) -> None: if len(x) >= 2: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" else: reveal_type(x) # E: Statement is unreachable if len(x) < 2: reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" [builtins fixtures/len.pyi] [case testNarrowingLenBareExpressionPrecise] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple x: Tuple[int, ...] assert x reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.int, ...]]]" [builtins fixtures/len.pyi] [case testNarrowingLenBareExpressionTypeVarTuple] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def test(*xs: Unpack[Ts]) -> None: assert xs xs[0] # OK [builtins fixtures/len.pyi] [case testNarrowingLenBareExpressionWithNonePrecise] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple, Optional x: Optional[Tuple[int, ...]] if x: reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.int, ...]]]" else: reveal_type(x) # N: Revealed type is "Union[tuple[()], None]" [builtins fixtures/len.pyi] [case testNarrowingLenBareExpressionWithNoneImprecise] from typing import Tuple, Optional x: Optional[Tuple[int, ...]] if x: reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" else: reveal_type(x) # N: Revealed type is "Union[builtins.tuple[builtins.int, ...], None]" [builtins fixtures/len.pyi] [case testNarrowingLenMixWithAnyPrecise] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Any x: Any if isinstance(x, (list, tuple)) and len(x) == 0: reveal_type(x) # N: Revealed type is "Union[tuple[()], builtins.list[Any]]" else: reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "Any" x1: Any if isinstance(x1, (list, tuple)) and len(x1) > 1: reveal_type(x1) # N: Revealed type is "Union[tuple[Any, Any, Unpack[builtins.tuple[Any, ...]]], builtins.list[Any]]" else: reveal_type(x1) # N: Revealed type is "Any" reveal_type(x1) # N: Revealed type is "Any" [builtins fixtures/len.pyi] [case testNarrowingLenMixWithAnyImprecise] from typing import Any x: Any if isinstance(x, (list, tuple)) and len(x) == 0: reveal_type(x) # N: Revealed type is "Union[tuple[()], builtins.list[Any]]" else: reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "Any" x1: Any if isinstance(x1, (list, tuple)) and len(x1) > 1: reveal_type(x1) # N: Revealed type is "Union[builtins.tuple[Any, ...], builtins.list[Any]]" else: reveal_type(x1) # N: Revealed type is "Any" reveal_type(x1) # N: Revealed type is "Any" [builtins fixtures/len.pyi] [case testNarrowingLenExplicitLiteralTypes] from typing import Literal, Tuple, Union VarTuple = Union[ Tuple[int], Tuple[int, int], Tuple[int, int, int], ] x: VarTuple supported: Literal[2] if len(x) == supported: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int]" else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" not_supported_yet: Literal[2, 3] if len(x) == not_supported_yet: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int], tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int], tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" [builtins fixtures/len.pyi] [case testNarrowingLenUnionOfVariadicTuples] from typing import Tuple, Union x: Union[Tuple[int, ...], Tuple[str, ...]] if len(x) == 2: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.str, builtins.str]]" else: reveal_type(x) # N: Revealed type is "Union[builtins.tuple[builtins.int, ...], builtins.tuple[builtins.str, ...]]" [builtins fixtures/len.pyi] [case testNarrowingLenUnionOfNamedTuples] from typing import NamedTuple, Union class Point2D(NamedTuple): x: int y: int class Point3D(NamedTuple): x: int y: int z: int x: Union[Point2D, Point3D] if len(x) == 2: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.Point2D]" else: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.int, fallback=__main__.Point3D]" [builtins fixtures/len.pyi] [case testNarrowingLenTupleSubclass] from typing import Tuple class Ints(Tuple[int, ...]): size: int x: Ints if len(x) == 2: reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.Ints]" reveal_type(x.size) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "__main__.Ints" reveal_type(x.size) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "__main__.Ints" [builtins fixtures/len.pyi] [case testNarrowingLenTupleSubclassCustomNotAllowed] from typing import Tuple class Ints(Tuple[int, ...]): def __len__(self) -> int: return 0 x: Ints if len(x) > 2: reveal_type(x) # N: Revealed type is "__main__.Ints" else: reveal_type(x) # N: Revealed type is "__main__.Ints" [builtins fixtures/len.pyi] [case testNarrowingLenTupleSubclassPreciseNotAllowed] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple class Ints(Tuple[int, ...]): size: int x: Ints if len(x) > 2: reveal_type(x) # N: Revealed type is "__main__.Ints" else: reveal_type(x) # N: Revealed type is "__main__.Ints" [builtins fixtures/len.pyi] [case testNarrowingLenUnknownLen] from typing import Any, Tuple, Union x: Union[Tuple[int, int], Tuple[int, int, int]] n: int if len(x) == n: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" a: Any if len(x) == a: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" else: reveal_type(x) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.int, builtins.int, builtins.int]]" [builtins fixtures/len.pyi] [case testNarrowingLenUnionWithUnreachable] from typing import Union, Sequence def f(x: Union[int, Sequence[int]]) -> None: if ( isinstance(x, tuple) and len(x) == 2 and isinstance(x[0], int) and isinstance(x[1], int) ): reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/len.pyi] [case testNarrowingIsSubclassNoneType1] from typing import Type, Union def f(cls: Type[Union[None, int]]) -> None: if issubclass(cls, int): reveal_type(cls) # N: Revealed type is "type[builtins.int]" else: reveal_type(cls) # N: Revealed type is "type[None]" [builtins fixtures/isinstance.pyi] [case testNarrowingIsSubclassNoneType2] from typing import Type, Union def f(cls: Type[Union[None, int]]) -> None: if issubclass(cls, type(None)): reveal_type(cls) # N: Revealed type is "type[None]" else: reveal_type(cls) # N: Revealed type is "type[builtins.int]" [builtins fixtures/isinstance.pyi] [case testNarrowingIsSubclassNoneType3] from typing import Type, Union NoneType_ = type(None) def f(cls: Type[Union[None, int]]) -> None: if issubclass(cls, NoneType_): reveal_type(cls) # N: Revealed type is "type[None]" else: reveal_type(cls) # N: Revealed type is "type[builtins.int]" [builtins fixtures/isinstance.pyi] [case testNarrowingIsSubclassNoneType4] # flags: --python-version 3.10 from types import NoneType from typing import Type, Union def f(cls: Type[Union[None, int]]) -> None: if issubclass(cls, NoneType): reveal_type(cls) # N: Revealed type is "type[None]" else: reveal_type(cls) # N: Revealed type is "type[builtins.int]" [builtins fixtures/isinstance.pyi] [case testNarrowingIsInstanceNoIntersectionWithFinalTypeAndNoneType] # flags: --warn-unreachable --python-version 3.10 from types import NoneType from typing import final class X: ... class Y: ... @final class Z: ... x: X if isinstance(x, (Y, Z)): reveal_type(x) # N: Revealed type is "__main__." if isinstance(x, (Y, NoneType)): reveal_type(x) # N: Revealed type is "__main__." if isinstance(x, (Y, Z, NoneType)): reveal_type(x) # N: Revealed type is "__main__." if isinstance(x, (Z, NoneType)): # E: Subclass of "X" and "Z" cannot exist: "Z" is final \ # E: Subclass of "X" and "NoneType" cannot exist: "NoneType" is final reveal_type(x) # E: Statement is unreachable [builtins fixtures/isinstance.pyi] [case testTypeNarrowingReachableNegative] # flags: --warn-unreachable from typing import Literal x: Literal[-1] if x == -1: assert True [typing fixtures/typing-medium.pyi] [builtins fixtures/ops.pyi] [case testTypeNarrowingReachableNegativeUnion] from typing import Literal x: Literal[-1, 1] if x == -1: reveal_type(x) # N: Revealed type is "Literal[-1]" else: reveal_type(x) # N: Revealed type is "Literal[1]" [typing fixtures/typing-medium.pyi] [builtins fixtures/ops.pyi] [case testNarrowingWithIntEnum] # mypy: strict-equality from __future__ import annotations from typing import Any from enum import IntEnum class IE(IntEnum): X = 1 Y = 2 def f1(x: int) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "builtins.int" if x != IE.X: reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "builtins.int" def f2(x: IE) -> None: if x == 1: reveal_type(x) # N: Revealed type is "__main__.IE" else: reveal_type(x) # N: Revealed type is "__main__.IE" def f3(x: object) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "builtins.object" else: reveal_type(x) # N: Revealed type is "builtins.object" def f4(x: int | Any) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "Union[builtins.int, Any]" else: reveal_type(x) # N: Revealed type is "Union[builtins.int, Any]" def f5(x: int) -> None: if x is IE.X: reveal_type(x) # N: Revealed type is "Literal[__main__.IE.X]" else: reveal_type(x) # N: Revealed type is "builtins.int" if x is not IE.X: reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "Literal[__main__.IE.X]" def f6(x: IE) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "Literal[__main__.IE.X]" else: reveal_type(x) # N: Revealed type is "Literal[__main__.IE.Y]" [builtins fixtures/primitives.pyi] [case testNarrowingWithIntEnum2] # mypy: strict-equality from __future__ import annotations from typing import Any from enum import IntEnum, Enum class MyDecimal: ... class IE(IntEnum): X = 1 Y = 2 class IE2(IntEnum): X = 1 Y = 2 class E(Enum): X = 1 Y = 2 def f1(x: IE | MyDecimal) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "Union[__main__.IE, __main__.MyDecimal]" else: reveal_type(x) # N: Revealed type is "Union[__main__.IE, __main__.MyDecimal]" def f2(x: E | bytes) -> None: if x == E.X: reveal_type(x) # N: Revealed type is "Literal[__main__.E.X]" else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.E.Y], builtins.bytes]" def f3(x: IE | IE2) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "Union[__main__.IE, __main__.IE2]" else: reveal_type(x) # N: Revealed type is "Union[__main__.IE, __main__.IE2]" def f4(x: IE | E) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "Literal[__main__.IE.X]" elif x == E.X: reveal_type(x) # N: Revealed type is "Literal[__main__.E.X]" else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.IE.Y], Literal[__main__.E.Y]]" def f5(x: E | str | int) -> None: if x == E.X: reveal_type(x) # N: Revealed type is "Literal[__main__.E.X]" else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.E.Y], builtins.str, builtins.int]" def f6(x: IE | Any) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "Union[__main__.IE, Any]" else: reveal_type(x) # N: Revealed type is "Union[__main__.IE, Any]" def f7(x: IE | None) -> None: if x == IE.X: reveal_type(x) # N: Revealed type is "Literal[__main__.IE.X]" else: reveal_type(x) # N: Revealed type is "Union[Literal[__main__.IE.Y], None]" def f8(x: IE | None) -> None: if x is None: reveal_type(x) # N: Revealed type is "None" elif x == IE.X: reveal_type(x) # N: Revealed type is "Literal[__main__.IE.X]" else: reveal_type(x) # N: Revealed type is "Literal[__main__.IE.Y]" [builtins fixtures/primitives.pyi] [case testNarrowingWithStrEnum] # mypy: strict-equality from enum import StrEnum class SE(StrEnum): A = 'a' B = 'b' def f1(x: str) -> None: if x == SE.A: reveal_type(x) # N: Revealed type is "builtins.str" else: reveal_type(x) # N: Revealed type is "builtins.str" def f2(x: SE) -> None: if x == 'a': reveal_type(x) # N: Revealed type is "__main__.SE" else: reveal_type(x) # N: Revealed type is "__main__.SE" def f3(x: object) -> None: if x == SE.A: reveal_type(x) # N: Revealed type is "builtins.object" else: reveal_type(x) # N: Revealed type is "builtins.object" def f4(x: SE) -> None: if x == SE.A: reveal_type(x) # N: Revealed type is "Literal[__main__.SE.A]" else: reveal_type(x) # N: Revealed type is "Literal[__main__.SE.B]" [builtins fixtures/primitives.pyi] [case testConsistentNarrowingEqAndIn] # flags: --python-version 3.10 # https://github.com/python/mypy/issues/17864 def f(x: str | int) -> None: if x == "x": reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" y = x if x in ["x"]: # TODO: we should fix this reveal https://github.com/python/mypy/issues/3229 reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" y = x z = x z = y [builtins fixtures/primitives.pyi] [case testConsistentNarrowingInWithCustomEq] # flags: --python-version 3.10 # https://github.com/python/mypy/issues/17864 class C: def __init__(self, x: int) -> None: self.x = x def __eq__(self, other: object) -> bool: raise # Example implementation: # if isinstance(other, C) and other.x == self.x: # return True # return NotImplemented class D(C): pass def f(x: C) -> None: if x in [D(5)]: reveal_type(x) # D # N: Revealed type is "__main__.C" f(C(5)) [builtins fixtures/primitives.pyi] [case testNarrowingTypeVarNone] # flags: --warn-unreachable # https://github.com/python/mypy/issues/18126 from typing import TypeVar T = TypeVar("T") def fn_if(arg: T) -> None: if arg is None: return None return None def fn_while(arg: T) -> None: while arg is None: return None return None [builtins fixtures/primitives.pyi] [case testRefinePartialTypeWithinLoop] # flags: --no-local-partial-types x = None for _ in range(2): if x is not None: reveal_type(x) # N: Revealed type is "builtins.int" x = 1 reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" def f() -> bool: ... y = None while f(): reveal_type(y) # N: Revealed type is "Union[None, builtins.int]" y = 1 reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" z = [] # E: Need type annotation for "z" (hint: "z: list[] = ...") def g() -> None: for i in range(2): while f(): if z: z[0] + "v" # E: Unsupported operand types for + ("int" and "str") z.append(1) class A: def g(self) -> None: z = [] # E: Need type annotation for "z" (hint: "z: list[] = ...") for i in range(2): while f(): if z: z[0] + "v" # E: Unsupported operand types for + ("int" and "str") z.append(1) [builtins fixtures/primitives.pyi] [case testPersistentUnreachableLinesNestedInInpersistentUnreachableLines] # flags: --warn-unreachable --python-version 3.11 x = None y = None while True: if x is not None: if y is not None: reveal_type(y) # E: Statement is unreachable x = 1 [builtins fixtures/bool.pyi] [case testAvoidFalseRedundantCastInLoops] # flags: --warn-redundant-casts from typing import Callable, cast, Union ProcessorReturnValue = Union[str, int] Processor = Callable[[str], ProcessorReturnValue] def main_cast(p: Processor) -> None: ed: ProcessorReturnValue ed = cast(str, ...) while True: ed = p(cast(str, ed)) def main_no_cast(p: Processor) -> None: ed: ProcessorReturnValue ed = cast(str, ...) while True: ed = p(ed) # E: Argument 1 has incompatible type "Union[str, int]"; expected "str" [builtins fixtures/bool.pyi] [case testAvoidFalseUnreachableInLoop1] # flags: --warn-unreachable --python-version 3.11 def f() -> int | None: ... def b() -> bool: ... x: int | None x = 1 while x is not None or b(): x = f() [builtins fixtures/bool.pyi] [case testAvoidFalseUnreachableInLoop2] # flags: --warn-unreachable --python-version 3.11 y = None while y is None: if y is None: y = [] y.append(1) [builtins fixtures/list.pyi] [case testAvoidFalseUnreachableInLoop3] # flags: --warn-unreachable --python-version 3.11 xs: list[int | None] y = None for x in xs: if x is not None: if y is None: y = {} # E: Need type annotation for "y" (hint: "y: dict[, ] = ...") [builtins fixtures/list.pyi] [case testAvoidFalseRedundantExprInLoop] # flags: --enable-error-code redundant-expr --python-version 3.11 def f() -> int | None: ... def b() -> bool: ... x: int | None x = 1 while x is not None and b(): x = f() [builtins fixtures/primitives.pyi] [case testNarrowPromotionsInsideUnions1] from typing import Union x: Union[str, float, None] y: Union[int, str] x = y reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" z: Union[complex, str] z = x reveal_type(z) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/primitives.pyi] [case testNarrowPromotionsInsideUnions2] # flags: --warn-unreachable from typing import Optional def b() -> bool: ... def i() -> int: ... x: Optional[float] while b(): x = None while b(): reveal_type(x) # N: Revealed type is "Union[None, builtins.int]" if x is None or b(): x = i() reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/bool.pyi] [case testAvoidFalseUnreachableInFinally] # flags: --allow-redefinition-new --local-partial-types --warn-unreachable def f() -> None: try: x = 1 if int(): x = "" return if int(): x = None return finally: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" if isinstance(x, str): reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" [builtins fixtures/isinstancelist.pyi] [case testNarrowingTypeVarMultiple] from typing import TypeVar class A: ... class B: ... T = TypeVar("T") def foo(x: T) -> T: if isinstance(x, A): pass elif isinstance(x, B): pass else: raise reveal_type(x) # N: Revealed type is "T`-1" return x [builtins fixtures/isinstance.pyi] [case testDoNotNarrowToNever] def any(): return 1 def f() -> None: x = "a" x = any() assert isinstance(x, int) reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/isinstance.pyi] [case testNarrowTypeVarBoundType] from typing import Type, TypeVar class A: ... class B(A): other: int T = TypeVar("T", bound=A) def test(cls: Type[T]) -> T: if issubclass(cls, B): reveal_type(cls) # N: Revealed type is "type[T`-1]" reveal_type(cls().other) # N: Revealed type is "builtins.int" return cls() return cls() [builtins fixtures/isinstance.pyi] [case testNarrowTypeVarBoundUnion] from typing import TypeVar class A: x: int class B: x: str T = TypeVar("T") def test(x: T) -> T: if not isinstance(x, (A, B)): return x reveal_type(x) # N: Revealed type is "T`-1" reveal_type(x.x) # N: Revealed type is "Union[builtins.int, builtins.str]" if isinstance(x, A): reveal_type(x) # N: Revealed type is "T`-1" reveal_type(x.x) # N: Revealed type is "builtins.int" return x reveal_type(x) # N: Revealed type is "T`-1" reveal_type(x.x) # N: Revealed type is "builtins.str" return x [builtins fixtures/isinstance.pyi] [case testIsinstanceNarrowingWithSelfTypes] from typing import Generic, TypeVar, overload T = TypeVar("T") class A(Generic[T]): def __init__(self: A[int]) -> None: pass def check_a(obj: "A[T] | str") -> None: reveal_type(obj) # N: Revealed type is "Union[__main__.A[T`-1], builtins.str]" if isinstance(obj, A): reveal_type(obj) # N: Revealed type is "__main__.A[T`-1]" else: reveal_type(obj) # N: Revealed type is "builtins.str" class B(Generic[T]): @overload def __init__(self, x: T) -> None: ... @overload def __init__(self: B[int]) -> None: ... def __init__(self, x: "T | None" = None) -> None: pass def check_b(obj: "B[T] | str") -> None: reveal_type(obj) # N: Revealed type is "Union[__main__.B[T`-1], builtins.str]" if isinstance(obj, B): reveal_type(obj) # N: Revealed type is "__main__.B[T`-1]" else: reveal_type(obj) # N: Revealed type is "builtins.str" class C(Generic[T]): @overload def __init__(self: C[int]) -> None: ... @overload def __init__(self, x: T) -> None: ... def __init__(self, x: "T | None" = None) -> None: pass def check_c(obj: "C[T] | str") -> None: reveal_type(obj) # N: Revealed type is "Union[__main__.C[T`-1], builtins.str]" if isinstance(obj, C): reveal_type(obj) # N: Revealed type is "__main__.C[T`-1]" else: reveal_type(obj) # N: Revealed type is "builtins.str" class D(tuple[T], Generic[T]): ... def check_d(arg: D[T]) -> None: if not isinstance(arg, D): return reveal_type(arg) # N: Revealed type is "tuple[T`-1, fallback=__main__.D[Any]]" [builtins fixtures/tuple.pyi] [case testNarrowingUnionMixins] class Base: ... class FooMixin: def foo(self) -> None: ... class BarMixin: def bar(self) -> None: ... def baz(item: Base) -> None: if not isinstance(item, (FooMixin, BarMixin)): raise reveal_type(item) # N: Revealed type is "Union[__main__., __main__.]" if isinstance(item, FooMixin): reveal_type(item) # N: Revealed type is "__main__." item.foo() else: reveal_type(item) # N: Revealed type is "__main__." item.bar() [builtins fixtures/isinstance.pyi] [case testCustomSetterNarrowingReWidened] class B: ... class C(B): ... class C1(B): ... class D(C): ... class Test: @property def foo(self) -> C: ... @foo.setter def foo(self, val: B) -> None: ... t: Test t.foo = D() reveal_type(t.foo) # N: Revealed type is "__main__.D" t.foo = C1() reveal_type(t.foo) # N: Revealed type is "__main__.C" [builtins fixtures/property.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-native-int.test0000644000175100017510000001724215112307767021164 0ustar00runnerrunner[case testNativeIntBasics] from mypy_extensions import i32, i64 def f(x: int) -> i32: return i32(x) def g(x: i32) -> None: pass reveal_type(i32(1) + i32(2)) # N: Revealed type is "mypy_extensions.i32" reveal_type(i64(1) + i64(2)) # N: Revealed type is "mypy_extensions.i64" i32(1) + i64(2) # E: Unsupported operand types for + ("i32" and "i64") i64(1) + i32(2) # E: Unsupported operand types for + ("i64" and "i32") g(i32(2)) g(i64(2)) # E: Argument 1 to "g" has incompatible type "i64"; expected "i32" [builtins fixtures/dict.pyi] [case testNativeIntCoercions] from mypy_extensions import i32, i64 def f1(x: int) -> None: pass def f2(x: i32) -> None: pass a: i32 = 1 b: i64 = 2 c: i64 = a # E: Incompatible types in assignment (expression has type "i32", variable has type "i64") d: i64 = i64(a) e: i32 = b # E: Incompatible types in assignment (expression has type "i64", variable has type "i32") f: i32 = i32(b) g: int = a h: int = b f1(1) f1(a) f1(b) f2(1) f2(g) f2(h) f2(a) f2(b) # E: Argument 1 to "f2" has incompatible type "i64"; expected "i32" [builtins fixtures/dict.pyi] [case testNativeIntJoins] from typing import TypeVar, Any from mypy_extensions import i32, i64 T = TypeVar('T') def join(x: T, y: T) -> T: return x n32: i32 = 0 n64: i64 = 1 n = 2 reveal_type(join(n32, n)) # N: Revealed type is "mypy_extensions.i32" reveal_type(join(n, n32)) # N: Revealed type is "mypy_extensions.i32" reveal_type(join(n64, n)) # N: Revealed type is "mypy_extensions.i64" reveal_type(join(n, n64)) # N: Revealed type is "mypy_extensions.i64" # i32 and i64 aren't treated as compatible reveal_type(join(n32, n64)) # N: Revealed type is "builtins.object" reveal_type(join(n64, n32)) # N: Revealed type is "builtins.object" a: Any reveal_type(join(n, a)) # N: Revealed type is "Any" reveal_type(join(n32, a)) # N: Revealed type is "Any" reveal_type(join(a, n64)) # N: Revealed type is "Any" reveal_type(join(n64, a)) # N: Revealed type is "Any" reveal_type(join(a, n64)) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [case testNativeIntMeets] from typing import TypeVar, Callable, Any from mypy_extensions import i32, i64 T = TypeVar('T') def f32(x: i32) -> None: pass def f64(x: i64) -> None: pass def f(x: int) -> None: pass def fa(x: Any) -> None: pass def meet(c1: Callable[[T], None], c2: Callable[[T], None]) -> T: pass reveal_type(meet(f32, f)) # N: Revealed type is "mypy_extensions.i32" reveal_type(meet(f, f32)) # N: Revealed type is "mypy_extensions.i32" reveal_type(meet(f64, f)) # N: Revealed type is "mypy_extensions.i64" reveal_type(meet(f, f64)) # N: Revealed type is "mypy_extensions.i64" if object(): reveal_type(meet(f32, f64)) # N: Revealed type is "Never" if object(): reveal_type(meet(f64, f32)) # N: Revealed type is "Never" reveal_type(meet(f, fa)) # N: Revealed type is "builtins.int" reveal_type(meet(f32, fa)) # N: Revealed type is "mypy_extensions.i32" reveal_type(meet(fa, f32)) # N: Revealed type is "mypy_extensions.i32" reveal_type(meet(f64, fa)) # N: Revealed type is "mypy_extensions.i64" reveal_type(meet(fa, f64)) # N: Revealed type is "mypy_extensions.i64" [builtins fixtures/dict.pyi] [case testNativeIntCoerceInArithmetic] from mypy_extensions import i32, i64 reveal_type(i32(1) + 1) # N: Revealed type is "mypy_extensions.i32" reveal_type(1 + i32(1)) # N: Revealed type is "mypy_extensions.i32" reveal_type(i64(1) + 1) # N: Revealed type is "mypy_extensions.i64" reveal_type(1 + i64(1)) # N: Revealed type is "mypy_extensions.i64" n = int() reveal_type(i32(1) + n) # N: Revealed type is "mypy_extensions.i32" reveal_type(n + i32(1)) # N: Revealed type is "mypy_extensions.i32" [builtins fixtures/dict.pyi] [case testNativeIntNoNarrowing] from mypy_extensions import i32 x: i32 = 1 if int(): x = 2 reveal_type(x) # N: Revealed type is "mypy_extensions.i32" reveal_type(x) # N: Revealed type is "mypy_extensions.i32" y = 1 if int(): # We don't narrow an int down to i32, since they have different # representations. y = i32(1) reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [case testNativeIntFloatConversion] from typing import TypeVar, Callable from mypy_extensions import i32 x: i32 = 1.1 # E: Incompatible types in assignment (expression has type "float", variable has type "i32") y: float = i32(1) # E: Incompatible types in assignment (expression has type "i32", variable has type "float") T = TypeVar('T') def join(x: T, y: T) -> T: return x reveal_type(join(x, y)) # N: Revealed type is "builtins.object" reveal_type(join(y, x)) # N: Revealed type is "builtins.object" def meet(c1: Callable[[T], None], c2: Callable[[T], None]) -> T: pass def ff(x: float) -> None: pass def fi32(x: i32) -> None: pass if object(): reveal_type(meet(ff, fi32)) # N: Revealed type is "Never" if object(): reveal_type(meet(fi32, ff)) # N: Revealed type is "Never" [builtins fixtures/dict.pyi] [case testNativeIntForLoopRange] from mypy_extensions import i64, i32 for a in range(i64(5)): reveal_type(a) # N: Revealed type is "mypy_extensions.i64" for b in range(0, i32(5)): reveal_type(b) # N: Revealed type is "mypy_extensions.i32" for c in range(i64(0), 5): reveal_type(c) # N: Revealed type is "mypy_extensions.i64" for d in range(i64(0), i64(5)): reveal_type(d) # N: Revealed type is "mypy_extensions.i64" for e in range(i64(0), i32(5)): reveal_type(e) # N: Revealed type is "builtins.int" for f in range(0, i64(3), 2): reveal_type(f) # N: Revealed type is "mypy_extensions.i64" n = 5 for g in range(0, n, i64(2)): reveal_type(g) # N: Revealed type is "mypy_extensions.i64" [builtins fixtures/primitives.pyi] [case testNativeIntComprehensionRange] from mypy_extensions import i64, i32 reveal_type([a for a in range(i64(5))]) # N: Revealed type is "builtins.list[mypy_extensions.i64]" [reveal_type(a) for a in range(0, i32(5))] # N: Revealed type is "mypy_extensions.i32" [builtins fixtures/primitives.pyi] [case testNativeIntNarrowing] from typing import Union from mypy_extensions import i64, i32 def narrow_i64(x: Union[str, i64]) -> None: if isinstance(x, i64): reveal_type(x) # N: Revealed type is "mypy_extensions.i64" else: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.str, mypy_extensions.i64]" if isinstance(x, str): reveal_type(x) # N: Revealed type is "builtins.str" else: reveal_type(x) # N: Revealed type is "mypy_extensions.i64" reveal_type(x) # N: Revealed type is "Union[builtins.str, mypy_extensions.i64]" if isinstance(x, int): reveal_type(x) # N: Revealed type is "mypy_extensions.i64" else: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.str, mypy_extensions.i64]" def narrow_i32(x: Union[str, i32]) -> None: if isinstance(x, i32): reveal_type(x) # N: Revealed type is "mypy_extensions.i32" else: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.str, mypy_extensions.i32]" if isinstance(x, str): reveal_type(x) # N: Revealed type is "builtins.str" else: reveal_type(x) # N: Revealed type is "mypy_extensions.i32" reveal_type(x) # N: Revealed type is "Union[builtins.str, mypy_extensions.i32]" if isinstance(x, int): reveal_type(x) # N: Revealed type is "mypy_extensions.i32" else: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.str, mypy_extensions.i32]" [builtins fixtures/primitives.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-newsemanal.test0000644000175100017510000022753315112307767021246 0ustar00runnerrunner-- Test cases for the new semantic analyzer [case testNewAnalyzerEmpty] [case testNewAnalyzerSimpleAssignment] x = 1 x.y # E: "int" has no attribute "y" y # E: Name "y" is not defined [case testNewAnalyzerSimpleAnnotation] x: int = 0 y: str = 0 \ # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testNewAnalyzerSimpleClass] class A: x: int a: A a.x a.y # E: "A" has no attribute "y" [case testNewAnalyzerErrorInClassBody] class A: x # E: Name "x" is not defined [case testNewAnalyzerTypeAnnotationForwardReference] class A: b: B class B: a: A a: A b: B a.b = a # E: Incompatible types in assignment (expression has type "A", variable has type "B") a.b = b b.a = a b.a = b # E: Incompatible types in assignment (expression has type "B", variable has type "A") [case testNewAnalyzerTypeAnnotationCycle1] import b [file a.py] import b class A: pass y: b.B y() # E: "B" not callable [file b.py] import a class B: pass x: a.A reveal_type(x) # N: Revealed type is "a.A" [case testNewAnalyzerTypeAnnotationCycle2] import a [file a.py] from b import B class A: pass y: B y() [file b.py] from a import A class B: pass x: A x() [out] tmp/b.py:4: error: "A" not callable tmp/a.py:4: error: "B" not callable [case testNewAnalyzerTypeAnnotationCycle3] import b [file a.py] from b import bad # E: Module "b" has no attribute "bad"; maybe "bad2"? [file b.py] from a import bad2 # E: Module "a" has no attribute "bad2"; maybe "bad"? [case testNewAnalyzerTypeAnnotationCycle4] import b [file a.py] from b import bad # E: Module "b" has no attribute "bad" [file b.py] # TODO: Could we generate an error here as well? from a import bad [targets a, b, a, b, a, b, a, b, __main__] [case testNewAnalyzerExportedValuesInImportAll] from m import * _ = a _ = b _ = c _ = d _e = e _f = f # E: Name "f" is not defined _ = _g # E: Name "_g" is not defined reveal_type(_e) # N: Revealed type is "m.A" [file m.py] __all__ = ['a'] __all__ += ('b',) __all__.append('c') __all__.extend(('d', 'e')) a = b = c = d = _g = 1 e: 'A' f: 'A' class A: ... [builtins fixtures/module_all.pyi] [case testNewAnalyzerSimpleFunction] def f(x: int) -> str: return 'x' def g(x: int) -> int: y = f(1) return y # E: Incompatible return value type (got "str", expected "int") [case testNewAnalyzerSimpleMethod] class A: def __init__(self, x: int) -> None: self.x = x def f(self) -> str: return self.x # E: Incompatible return value type (got "int", expected "str") def g(self) -> int: return self.f() # E: Incompatible return value type (got "str", expected "int") [case testNewAnalyzerFunctionForwardRef] def f() -> None: x = g(1) # E: Argument 1 to "g" has incompatible type "int"; expected "str" reveal_type(x) # N: Revealed type is "builtins.str" def g(x: str) -> str: return x [case testNewAnalyzerExportedImportThreePasses] import b [file a.py] from b import b1 as a2 from b import b2 as a3 def a1() -> int: pass reveal_type(a3()) # N: Revealed type is "builtins.int" [file b.py] from a import a1 as b2 from a import a2 as b3 def b1() -> str: pass reveal_type(b3()) # N: Revealed type is "builtins.str" [case testNewAnalyzerBool] reveal_type(True) # N: Revealed type is "Literal[True]?" reveal_type(False) # N: Revealed type is "Literal[False]?" [case testNewAnalyzerNewTypeMultiplePasses] import b [file a.py] from typing import NewType import b class A: pass N2 = NewType('N2', b.N1) def f1(x: A) -> None: pass def f2(x: b.N1) -> None: pass def f3(x: N2) -> None: pass a = A() n1 = b.N1(a) n2 = N2(n1) f1(a) f1(n1) f1(n2) f2(a) # E: Argument 1 to "f2" has incompatible type "A"; expected "N1" f2(n1) f2(n2) f3(a) # E: Argument 1 to "f3" has incompatible type "A"; expected "N2" f3(n1) # E: Argument 1 to "f3" has incompatible type "N1"; expected "N2" f3(n2) # Test N2 etc. [file b.py] from typing import NewType import a N1 = NewType('N1', a.A) [case testNewAnalyzerInheritanceForwardRef] class C(B): pass class B(A): pass class A: def __init__(self, x: str) -> None: pass def f(self, x: int) -> None: pass C(1) # E: Argument 1 to "C" has incompatible type "int"; expected "str" B(1) # E: Argument 1 to "B" has incompatible type "int"; expected "str" C('').f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" B('').f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [case testNewAnalyzerInheritanceMROInCycle] import a [file a.py] from b import A import b class B(A): b: int class D(b.C): d: int d = D() reveal_type(d.a) # N: Revealed type is "builtins.int" reveal_type(d.b) # N: Revealed type is "builtins.int" reveal_type(d.c) # N: Revealed type is "builtins.int" reveal_type(d.d) # N: Revealed type is "builtins.int" [file b.py] from a import B class A: a: int class C(B): c: int [targets b, a, b, a, __main__] [case testNewAnalyzerTypedDictClass] from typing import TypedDict import a class T1(TypedDict): x: A class A: pass reveal_type(T1(x=A())) # E [file a.py] from typing import TypedDict from b import TD1 as TD2, TD3 class T2(TD3): x: int reveal_type(T2(x=2)) # E [file b.py] from a import TypedDict as TD1 from a import TD2 as TD3 [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] tmp/a.py:5: note: Revealed type is "TypedDict('a.T2', {'x': builtins.int})" main:6: note: Revealed type is "TypedDict('__main__.T1', {'x': __main__.A})" [case testNewAnalyzerTypedDictClassInheritance] from typing import TypedDict class T2(T1): y: int class T1(TypedDict): x: str class T3(TypedDict): x: str class T4(T3): y: A class A: pass T2(x=0, y=0) # E: Incompatible types (expression has type "int", TypedDict item "x" has type "str") x: T2 reveal_type(x) # N: Revealed type is "TypedDict('__main__.T2', {'x': builtins.str, 'y': builtins.int})" y: T4 reveal_type(y) # N: Revealed type is "TypedDict('__main__.T4', {'x': builtins.str, 'y': __main__.A})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNewAnalyzerRedefinitionAndDeferral1a] import a [file a.py] MYPY = False if MYPY: from b import x as y x = 0 def y(): pass # E: Name "y" already defined on line 4 reveal_type(y) # N: Revealed type is "builtins.int" y2 = y class y2: pass # E: Name "y2" already defined on line 9 reveal_type(y2) # N: Revealed type is "builtins.int" y3, y4 = y, y if MYPY: # Tweak processing order from b import f as y3 # E: Incompatible import of "y3" (imported name has type "Callable[[], Any]", local name has type "int") reveal_type(y3) # N: Revealed type is "builtins.int" [file b.py] from a import x def f(): pass [targets a, b, a, a.y, b.f, __main__] [builtins fixtures/tuple.pyi] [case testNewAnalyzerRedefinitionAndDeferral1b] import a [file a.py] from b import x as y x = 0 def y(): pass # E: Name "y" already defined on line 2 reveal_type(y) # N: Revealed type is "builtins.int" y2 = y class y2: pass # E: Name "y2" already defined on line 7 reveal_type(y2) # N: Revealed type is "builtins.int" y3, y4 = y, y from b import f as y3 # E: Incompatible import of "y3" (imported name has type "Callable[[], Any]", local name has type "int") reveal_type(y3) # N: Revealed type is "builtins.int" [file b.py] MYPY = False if MYPY: # Tweak processing order from a import x def f(): pass [targets b, a, b, a, b.f, a.y, __main__] [case testNewAnalyzerRedefinitionAndDeferral2a] import a [file a.py] MYPY = False if MYPY: # Tweak processing order from b import C as C2 class C: pass class C2: pass # E: Name "C2" already defined on line 4 [file b.py] from a import C [case testNewAnalyzerRedefinitionAndDeferral2b] import a [file a.py] from b import C as C2 class C: pass class C2: pass # E: Name "C2" already defined on line 2 [file b.py] MYPY = False if MYPY: # Tweak processing order from a import C [case testNewAnalyzerRedefinitionAndDeferral3] import a [file a.py] from b import f as g def f(): pass a, *b = g() class b(): pass # E: Name "b" already defined on line 4 reveal_type(b) # N: Revealed type is "Any" [file b.py] from a import f [case testNewAnalyzerImportStarForwardRef1] import a [file a.py] x: A reveal_type(x) # N: Revealed type is "b.A" from b import * class A: pass # E: Name "A" already defined (possibly by an import) [file b.py] class A: pass MYPY = False if MYPY: # Tweak processing order from a import x [case testNewAnalyzerImportStarForwardRef2] import a [file a.py] x: A reveal_type(x) # N: Revealed type is "b.A" MYPY = False if MYPY: # Tweak processing order from b import * class A: pass # E: Name "A" already defined (possibly by an import) [file b.py] class A: pass from a import x [case testNewAnalyzerClassInFunction] def main() -> None: x: C class C: def __init__(self) -> None: self.x: A x() # E: "C" not callable reveal_type(x.x) # N: Revealed type is "__main__.A@8" class A: pass [case testNewAnalyzerMutuallyRecursiveFunctions] def main() -> None: def f() -> int: reveal_type(g()) # N: Revealed type is "builtins.str" return int() def g() -> str: reveal_type(f()) # N: Revealed type is "builtins.int" return str() [case testNewAnalyzerMissingNamesInFunctions] def main() -> None: def f() -> None: x # E: Name "x" is not defined class C: x # E: Name "x" is not defined [case testNewAnalyzerCyclicDefinitions] # flags: --disable-error-code used-before-def gx = gy # E: Cannot resolve name "gy" (possible cyclic definition) gy = gx def main() -> None: class C: def meth(self) -> None: lx = ly # E: Cannot resolve name "ly" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope ly = lx [case testNewAnalyzerCyclicDefinitionCrossModule] import b [file a.py] import b x = b.x # E: Cannot resolve attribute "x" (possible cyclic definition) \ # E: Module has no attribute "x" [file b.py] import a x = a.x [builtins fixtures/module.pyi] [case testNewAnalyzerMutuallyRecursiveOverloadedFunctions] from typing import overload, Union def main() -> None: @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: reveal_type(g(str())) # N: Revealed type is "builtins.str" return x @overload def g(x: int) -> int: ... @overload def g(x: str) -> str: ... def g(x: Union[int, str]) -> Union[int, str]: reveal_type(f(int())) # N: Revealed type is "builtins.int" return float() # E: Incompatible return value type (got "float", expected "Union[int, str]") [case testNewAnalyzerNestedClassInMethod] class C: class D: def meth(self) -> None: x: Out.In reveal_type(x.t) # N: Revealed type is "builtins.int" class Out: class In: def meth(self) -> None: self.t: int [case testNewAnalyzerDeeplyNestedFunctions] class Out: class In: def meth(self) -> None: x: C.D reveal_type(x.t) # N: Revealed type is "__main__.Test@10" class C: class D: def meth(self) -> None: self.t: Test class Test: def test(self) -> None: def one() -> int: reveal_type(other()) # N: Revealed type is "builtins.str" return int() def other() -> str: reveal_type(one()) # N: Revealed type is "builtins.int" return str() [case testNewAnalyzerNestedClass1] class A: class B: x: int def __init__(self, x: int) -> None: self.x = x def f(self) -> str: return self.x # E: Incompatible return value type (got "int", expected "str") b: A.B b = A.B('') # E: Argument 1 to "B" has incompatible type "str"; expected "int" reveal_type(b) # N: Revealed type is "__main__.A.B" reveal_type(b.x) # N: Revealed type is "builtins.int" reveal_type(b.f()) # N: Revealed type is "builtins.str" [case testNewAnalyzerNestedClass2] class A: class B: x: int def __init__(self, x: int) -> None: self.x = x def f(self) -> str: return self.x # E: Incompatible return value type (got "int", expected "str") b: A.B b = A.B('') # E: Argument 1 to "B" has incompatible type "str"; expected "int" reveal_type(b) # N: Revealed type is "__main__.A.B" reveal_type(b.x) # N: Revealed type is "builtins.int" reveal_type(b.f()) # N: Revealed type is "builtins.str" [case testNewAnalyzerGenerics] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def __init__(self, x: T) -> None: self.x = x def get(self) -> T: return self.x c: C[int] c2: C[int, str] # E: "C" expects 1 type argument, but 2 given c3: C c = C('') # E: Argument 1 to "C" has incompatible type "str"; expected "int" reveal_type(c.get()) # N: Revealed type is "builtins.int" reveal_type(c2) # N: Revealed type is "__main__.C[Any]" reveal_type(c3) # N: Revealed type is "__main__.C[Any]" [case testNewAnalyzerGenericsTypeVarForwardRef] from typing import TypeVar, Generic class C(Generic[T]): def __init__(self, x: T) -> None: self.x = x def get(self) -> T: return self.x T = TypeVar('T') c: C[int] reveal_type(c) # N: Revealed type is "__main__.C[builtins.int]" c = C('') # E: Argument 1 to "C" has incompatible type "str"; expected "int" reveal_type(c.get()) # N: Revealed type is "builtins.int" [case testNewAnalyzerTypeAlias] from typing import Union, TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class D(Generic[T, S]): pass class C: pass C2 = C U = Union[C, int] G = D[T, C] c: C2 reveal_type(c) # N: Revealed type is "__main__.C" u: U reveal_type(u) # N: Revealed type is "Union[__main__.C, builtins.int]" g: G[int] reveal_type(g) # N: Revealed type is "__main__.D[builtins.int, __main__.C]" [case testNewAnalyzerTypeAlias2] from typing import Union class C(D): pass A = Union[C, int] x: A reveal_type(x) # N: Revealed type is "Union[__main__.C, builtins.int]" class D: pass [case testNewAnalyzerBuiltinTypeAliases] from typing import List x: List[C] reveal_type(x) # N: Revealed type is "builtins.list[__main__.C]" class C: pass [builtins fixtures/list.pyi] [case testNewAnalyzerVersionCheck] import sys if sys.version_info[0] < 2: 1() import nonexistent else: def f(x: int) -> None: pass f('') # E: Argument 1 to "f" has incompatible type "str"; expected "int" def g() -> None: if sys.version_info[0] < 3: import nonexistent2 else: 1() # E: "int" not callable [builtins fixtures/ops.pyi] [case testNewAnalyzerVersionCheck2] import sys assert sys.version_info[0] == 3 1() # E: "int" not callable assert sys.version_info[0] < 3 ''() [builtins fixtures/ops.pyi] [case testNewAnalyzerOverload] from typing import overload, Union @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: return 1.0 # E: Incompatible return value type (got "float", expected "Union[int, str]") f(1) f('') f(1.0) # E: No overload variant of "f" matches argument type "float" \ # N: Possible overload variants: \ # N: def f(x: int) -> int \ # N: def f(x: str) -> str [case testNewAnalyzerOverload2] from typing import overload, Union class A: @overload def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... def f(self, x: Union[int, str]) -> Union[int, str]: return 1.0 # E: Incompatible return value type (got "float", expected "Union[int, str]") a = A() a.f(1) a.f('') a.f(1.0) # E: No overload variant of "f" of "A" matches argument type "float" \ # N: Possible overload variants: \ # N: def f(self, x: int) -> int \ # N: def f(self, x: str) -> str [case testNewAnalyzerPromotion] def f(x: float) -> None: pass y: int f(y) f(1) [builtins fixtures/primitives.pyi] [case testNewAnalyzerFunctionDecorator] # flags: --disable-error-code used-before-def from typing import Callable @dec def f1(x: int) -> int: return '' # E: Incompatible return value type (got "str", expected "int") def dec(f: Callable[[int], int]) -> Callable[[str], str]: ... @dec def f2(x: int) -> int: return '' # E: Incompatible return value type (got "str", expected "int") f1(1) # E: Argument 1 to "f1" has incompatible type "int"; expected "str" reveal_type(f1('')) # N: Revealed type is "builtins.str" f2(1) # E: Argument 1 to "f2" has incompatible type "int"; expected "str" [case testNewAnalyzerTypeVarForwardReference] # flags: --disable-error-code used-before-def from typing import TypeVar, Generic T = TypeVar('T') XY = TypeVar('XY', X, Y) class C(Generic[T]): pass class D(C[XY], Generic[XY]): pass class X: pass class Y: pass x: D[int] # E: Value of type variable "XY" of "D" cannot be "int" y: D[Y] [case testNewAnalyzerTypeVarForwardReference2] from typing import TypeVar, Generic T = TypeVar('T') XY = TypeVar('XY', 'X', 'Y') class C(Generic[T]): pass class D(C[XY]): pass class X: pass class Y: pass x: D[int] # E: Value of type variable "XY" of "D" cannot be "int" y: D[Y] [case testNewAnalyzerTypeVarForwardReferenceValuesDeferred] from typing import TypeVar, Generic T = TypeVar('T') XY = TypeVar('XY', 'X', 'Y') class C(Generic[T]): pass class D(C[XY], Generic[XY]): pass class X(Defer): pass class Y(Defer): pass class Defer: ... x: D[int] # E: Value of type variable "XY" of "D" cannot be "int" y: D[Y] [builtins fixtures/list.pyi] [case testNewAnalyzerTypeVarForwardReferenceBoundDeferred] from typing import TypeVar, Generic T = TypeVar('T') TY = TypeVar('TY', bound='Y') class C(Generic[T]): pass class D(C[TY], Generic[TY]): pass class Y(Defer): pass class Defer: ... x: D[int] # E: Type argument "int" of "D" must be a subtype of "Y" y: D[Y] [case testNewAnalyzerTypeVarForwardReferenceErrors] from typing import TypeVar, Generic class C(Generic[T]): def __init__(self, x: T) -> None: ... def func(x: U) -> U: ... U = TypeVar('U', asdf, asdf) # E: Name "asdf" is not defined T = TypeVar('T', bound='asdf') # E: Name "asdf" is not defined reveal_type(C) # N: Revealed type is "def [T <: Any] (x: T`1) -> __main__.C[T`1]" reveal_type(func) # N: Revealed type is "def [U in (Any, Any)] (x: U`-1) -> U`-1" [case testNewAnalyzerSubModuleInCycle] import a [file a.py] MYPY = False if MYPY: from b.c import x [file b/__init__.pyi] import b.c [file b/c.pyi] x = 0 import a [case testNewAnalyzerBaseClassSelfReference] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass class C(A[C]): pass class D(A['D']): pass a1: A[C] = C() a2: A[D] = C() \ # E: Incompatible types in assignment (expression has type "C", variable has type "A[D]") [case testNewAnalyzerTypeVarBoundForwardRef] from typing import TypeVar T = TypeVar('T', bound='C') class C: pass class D(C): pass class E: pass def f(x: T) -> T: return x reveal_type(f(D())) # N: Revealed type is "__main__.D" f(E()) # E: Value of type variable "T" of "f" cannot be "E" [case testNewAnalyzerNameExprRefersToIncompleteType] import a [file a.py] from b import f class C(D): pass class D: pass [file b.py] from a import C reveal_type(C()) # N: Revealed type is "a.C" def f(): pass [case testNewAnalyzerMemberExprRefersToIncompleteType] import a [file a.py] from b import f class C(D): pass class D: pass [file b.py] import a reveal_type(a.C()) # N: Revealed type is "a.C" def f(): pass [case testNewAnalyzerNamedTupleCall] from typing import NamedTuple class Other: pass In = NamedTuple('In', [('s', str), ('t', Other)]) Out = NamedTuple('Out', [('x', In), ('y', Other)]) o: Out i: In reveal_type(o) # N: Revealed type is "tuple[tuple[builtins.str, __main__.Other, fallback=__main__.In], __main__.Other, fallback=__main__.Out]" reveal_type(o.x) # N: Revealed type is "tuple[builtins.str, __main__.Other, fallback=__main__.In]" reveal_type(o.y) # N: Revealed type is "__main__.Other" reveal_type(o.x.t) # N: Revealed type is "__main__.Other" reveal_type(i.t) # N: Revealed type is "__main__.Other" [builtins fixtures/tuple.pyi] [case testNewAnalyzerNamedTupleClass] from typing import NamedTuple o: Out i: In class Out(NamedTuple): x: In y: Other reveal_type(o) # N: Revealed type is "tuple[tuple[builtins.str, __main__.Other, fallback=__main__.In], __main__.Other, fallback=__main__.Out]" reveal_type(o.x) # N: Revealed type is "tuple[builtins.str, __main__.Other, fallback=__main__.In]" reveal_type(o.y) # N: Revealed type is "__main__.Other" reveal_type(o.x.t) # N: Revealed type is "__main__.Other" reveal_type(i.t) # N: Revealed type is "__main__.Other" class In(NamedTuple): s: str t: Other class Other: pass [builtins fixtures/tuple.pyi] [case testNewAnalyzerNamedTupleCallNested] from typing import NamedTuple o: C.Out i: C.In reveal_type(o) # N: Revealed type is "tuple[tuple[builtins.str, __main__.C.Other, fallback=__main__.C.In], __main__.C.Other, fallback=__main__.C.Out]" reveal_type(o.x) # N: Revealed type is "tuple[builtins.str, __main__.C.Other, fallback=__main__.C.In]" reveal_type(o.y) # N: Revealed type is "__main__.C.Other" reveal_type(o.x.t) # N: Revealed type is "__main__.C.Other" reveal_type(i.t) # N: Revealed type is "__main__.C.Other" class C: In = NamedTuple('In', [('s', str), ('t', Other)]) Out = NamedTuple('Out', [('x', In), ('y', Other)]) class Other: pass [builtins fixtures/tuple.pyi] [case testNewAnalyzerNamedTupleClassNested] from typing import NamedTuple o: C.Out i: C.In reveal_type(o) # N: Revealed type is "tuple[tuple[builtins.str, __main__.C.Other, fallback=__main__.C.In], __main__.C.Other, fallback=__main__.C.Out]" reveal_type(o.x) # N: Revealed type is "tuple[builtins.str, __main__.C.Other, fallback=__main__.C.In]" reveal_type(o.y) # N: Revealed type is "__main__.C.Other" reveal_type(o.x.t) # N: Revealed type is "__main__.C.Other" reveal_type(i.t) # N: Revealed type is "__main__.C.Other" class C: class Out(NamedTuple): x: C.In y: C.Other class In(NamedTuple): s: str t: C.Other class Other: pass [builtins fixtures/tuple.pyi] [case testNewAnalyzerNamedTupleCallNestedMethod] from typing import NamedTuple class C: def get_tuple(self) -> None: Out = NamedTuple('Out', [('x', 'In'), ('y', 'Other')]) In = NamedTuple('In', [('s', str), ('t', 'Other')]) class Other: pass self.o: Out c = C() reveal_type(c.o) # N: Revealed type is "tuple[tuple[builtins.str, __main__.Other@7, fallback=__main__.C.In@6], __main__.Other@7, fallback=__main__.C.Out@5]" reveal_type(c.o.x) # N: Revealed type is "tuple[builtins.str, __main__.Other@7, fallback=__main__.C.In@6]" [builtins fixtures/tuple.pyi] [case testNewAnalyzerNamedTupleClassNestedMethod] from typing import NamedTuple class C: def get_tuple(self) -> None: class Out(NamedTuple): x: In y: Other def method(self) -> In: ... class In(NamedTuple): s: str t: Other class Other: pass self.o: Out c = C() reveal_type(c.o) # N: Revealed type is "tuple[tuple[builtins.str, __main__.Other@12, fallback=__main__.C.In@9], __main__.Other@12, fallback=__main__.C.Out@5]" reveal_type(c.o.x) # N: Revealed type is "tuple[builtins.str, __main__.Other@12, fallback=__main__.C.In@9]" reveal_type(c.o.method()) # N: Revealed type is "tuple[builtins.str, __main__.Other@12, fallback=__main__.C.In@9]" [builtins fixtures/tuple.pyi] [case testNewAnalyzerNamedTupleClassForwardMethod] from typing import NamedTuple n: NT reveal_type(n.get_other()) # N: Revealed type is "tuple[builtins.str, fallback=__main__.Other]" reveal_type(n.get_other().s) # N: Revealed type is "builtins.str" class NT(NamedTuple): x: int y: int def get_other(self) -> Other: pass class Other(NamedTuple): s: str [builtins fixtures/tuple.pyi] [case testNewAnalyzerNamedTupleSpecialMethods] from typing import NamedTuple class Other: pass In = NamedTuple('In', [('s', str), ('t', Other)]) Out = NamedTuple('Out', [('x', In), ('y', Other)]) class SubO(Out): pass o: SubO reveal_type(SubO._make) # N: Revealed type is "def (iterable: typing.Iterable[Any]) -> tuple[tuple[builtins.str, __main__.Other, fallback=__main__.In], __main__.Other, fallback=__main__.SubO]" reveal_type(o._replace(y=Other())) # N: Revealed type is "tuple[tuple[builtins.str, __main__.Other, fallback=__main__.In], __main__.Other, fallback=__main__.SubO]" [builtins fixtures/tuple.pyi] [case testNewAnalyzerNamedTupleBaseClass] from typing import NamedTuple class Other: pass class In(NamedTuple): s: str t: Other class Out(NamedTuple('Out', [('x', In), ('y', Other)])): pass o: Out reveal_type(o) # N: Revealed type is "tuple[tuple[builtins.str, __main__.Other, fallback=__main__.In], __main__.Other, fallback=__main__.Out]" reveal_type(o.x) # N: Revealed type is "tuple[builtins.str, __main__.Other, fallback=__main__.In]" reveal_type(o.x.t) # N: Revealed type is "__main__.Other" reveal_type(Out._make) # N: Revealed type is "def (iterable: typing.Iterable[Any]) -> tuple[tuple[builtins.str, __main__.Other, fallback=__main__.In], __main__.Other, fallback=__main__.Out]" [builtins fixtures/tuple.pyi] [case testNewAnalyzerIncompleteRefShadowsBuiltin1] import a [file a.py] from typing import TypeVar, Generic from b import C as int x: int[str] reveal_type(x) # N: Revealed type is "a.C[builtins.str]" T = TypeVar('T') class C(Generic[T]): pass [file b.py] from a import C [case testNewAnalyzerIncompleteRefShadowsBuiltin2] import b [file a.py] import b int = b.C class C: pass x: int reveal_type(x) # N: Revealed type is "b.C" [file b.py] import a int = a.C class C: pass x: int reveal_type(x) # N: Revealed type is "a.C" [case testNewAnalyzerNamespaceCompleteness] import a [file a.py] import b x: b.C [file b.py] from c import * class C: pass [file c.py] import a from b import C [targets c, b, a, c, b, __main__] [case testNewAnalyzerImportOverExistingInCycle] import a [file a.py] C = 1 from b import C # E: Incompatible import of "C" (imported name has type "type[C]", local name has type "int") [file b.py] import a class C(B): ... class B: ... [case testNewAnalyzerImportOverExistingInCycleStar1] import a [file a.py] C = 1 MYPY = False if MYPY: # Tweak processing order from b import * # E: Incompatible import of "C" (imported name has type "type[C]", local name has type "int") [file b.py] import a class C(B): ... class B: ... [case testNewAnalyzerImportOverExistingInCycleStar2] import a [file a.py] C = 1 from b import * # E: Incompatible import of "C" (imported name has type "type[C]", local name has type "int") [file b.py] MYPY = False if MYPY: # Tweak processing order import a class C(B): ... class B: ... [case testNewAnalyzerIncompleteFixture] from typing import Tuple x: Tuple[int] # E: Name "tuple" is not defined [builtins fixtures/complex.pyi] [case testNewAnalyzerMetaclass1] class A(metaclass=B): pass class B(type): def f(cls) -> int: return 0 reveal_type(A.f()) # N: Revealed type is "builtins.int" [case testNewAnalyzerMetaclass2] class B(type): def f(cls) -> int: return 0 class C: pass class A(metaclass=B): pass class AA(metaclass=C): # E: Metaclasses not inheriting from "type" are not supported pass reveal_type(A.f()) # N: Revealed type is "builtins.int" [case testNewAnalyzerMetaclassPlaceholder] class B(C): pass class A(metaclass=B): pass class C(type): def f(cls) -> int: return 0 reveal_type(A.f()) # N: Revealed type is "builtins.int" [case testNewAnalyzerMetaclassSix1] import six class A(six.with_metaclass(B)): pass class B(type): def f(cls) -> int: return 0 reveal_type(A.f()) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testNewAnalyzerMetaclassSix2] import six @six.add_metaclass(B) class A: pass class B(type): def f(cls) -> int: return 0 reveal_type(A.f()) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testNewAnalyzerMetaclassSix3] import six class A(six.with_metaclass(B, Defer)): pass class B(type): def f(cls) -> int: return 0 class Defer: x: str reveal_type(A.f()) # N: Revealed type is "builtins.int" reveal_type(A.x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testNewAnalyzerMetaclassSix4] import six class B(type): def f(cls) -> int: return 0 class A(six.with_metaclass(B, Defer)): pass class Defer: x: str reveal_type(A.f()) # N: Revealed type is "builtins.int" reveal_type(A.x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testNewAnalyzerMetaclassFuture1] import future.utils class A(future.utils.with_metaclass(B)): pass class B(type): def f(cls) -> int: return 0 reveal_type(A.f()) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testNewAnalyzerMetaclassFuture3] import future.utils class A(future.utils.with_metaclass(B, Defer)): pass class B(type): def f(cls) -> int: return 0 class Defer: x: str reveal_type(A.f()) # N: Revealed type is "builtins.int" reveal_type(A.x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testNewAnalyzerMetaclassFuture4] # flags: --disable-error-code used-before-def import future.utils class B(type): def f(cls) -> int: return 0 reveal_type(A.f()) # N: Revealed type is "builtins.int" reveal_type(A.x) # N: Revealed type is "builtins.str" class A(future.utils.with_metaclass(B, Defer)): pass class Defer: x: str [builtins fixtures/tuple.pyi] [case testNewAnalyzerFinalDefiningModuleVar] from typing import Final class D(C): ... class C: ... x: Final = C() y: Final[C] = D() bad: Final[D] = C() # E: Incompatible types in assignment (expression has type "C", variable has type "D") reveal_type(x) # N: Revealed type is "__main__.C" reveal_type(y) # N: Revealed type is "__main__.C" [case testNewAnalyzerFinalDefiningInstanceVar] from typing import Final class D: ... class E(C): ... class C: def __init__(self, x: D) -> None: self.x: Final = x self.y: Final[C] = E(D()) reveal_type(C(D()).x) # N: Revealed type is "__main__.D" reveal_type(C(D()).y) # N: Revealed type is "__main__.C" [case testNewAnalyzerFinalReassignModuleVar] from typing import Final class A: ... x: Final = A() x = A() # E: Cannot assign to final name "x" x2: Final = A() def f2() -> None: global x2 def f() -> None: g() x2 = A() # E: Cannot assign to final name "x2" def g() -> None: f() [case testNewAnalyzerFinalReassignModuleReexport] import a [file a.py] from b import ID, A class C(A): ... ID = C() # E: Cannot assign to final name "ID" [file b.py] from typing import Final from a import C class A: x: C ID: Final = A() [case testNewAnalyzerFinalOverrideInSubclass] from typing import Final class B: def __init__(self, x: int) -> None: self.x: Final = x class C(B): x = 1 # E: Cannot assign to final name "x" [case testNewAnalyzerAssignmentAfterStarImport] import a [file a.py] from b import * x = 1 def f(): ... [file b.py] from a import f x: int [case testNewAnalyzerClassLevelImport] # flags: --ignore-missing-imports class Test: import a def __init__(self) -> None: some_module = self.a [case testNewAnalyzerAliasToNotReadyClass] import a [file a.py] from b import B x: A A = B [file b.py] from typing import List from a import x class B(List[B]): pass reveal_type(x[0][0]) # N: Revealed type is "b.B" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyClass2] from typing import List x: A class A(List[B]): pass B = A reveal_type(x[0][0]) # N: Revealed type is "__main__.A" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyClass3] # flags: --disable-error-code used-before-def from typing import List x: B B = A A = C class C(List[B]): pass reveal_type(x[0][0]) # N: Revealed type is "__main__.C" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyNestedClass] import a [file a.py] from b import Out x: A A = Out.B [file b.py] from typing import List from a import x class Out: class B(List[B]): pass reveal_type(x[0][0]) # N: Revealed type is "b.Out.B" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyNestedClass2] from typing import List x: Out.A class Out: class A(List[B]): pass B = Out.A reveal_type(x[0][0]) # N: Revealed type is "__main__.Out.A" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyClassGeneric] import a [file a.py] from typing import Tuple from b import B, T x: A[int] A = B[Tuple[T, T]] [file b.py] from typing import List, Generic, TypeVar from a import x class B(List[B], Generic[T]): pass T = TypeVar('T') reveal_type(x) # N: Revealed type is "b.B[tuple[builtins.int, builtins.int]]" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyClassInGeneric] import a [file a.py] from typing import Tuple from b import B x: A A = Tuple[B, B] [file b.py] from typing import List from a import x class B(List[B]): pass reveal_type(x) # N: Revealed type is "tuple[b.B, b.B]" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyClassDoubleGeneric] from typing import List, TypeVar, Union T = TypeVar('T') x: B[int] A = Union[int, T] B = A[List[T]] class C(List[B[int]]): pass y: C reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.list[builtins.int]]" reveal_type(y[0]) # N: Revealed type is "Union[builtins.int, builtins.list[builtins.int]]" [builtins fixtures/list.pyi] [case testNewAnalyzerForwardAliasFromUnion] from typing import Union, List A = Union['B', 'C'] class D: x: List[A] def test(self) -> None: reveal_type(self.x[0].y) # N: Revealed type is "builtins.int" class B: y: int class C: y: int [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyTwoDeferrals] # flags: --disable-error-code used-before-def from typing import List x: B B = List[C] A = C class C(List[A]): pass reveal_type(x) # N: Revealed type is "builtins.list[__main__.C]" reveal_type(x[0][0]) # N: Revealed type is "__main__.C" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyDirectBase] # flags: --disable-error-code used-before-def from typing import List def test() -> None: x: B B = List[C] class C(B): pass reveal_type(x) reveal_type(x[0][0]) [builtins fixtures/list.pyi] [out] main:5: error: Cannot resolve name "B" (possible cyclic definition) main:5: note: Recursive types are not allowed at function scope main:6: error: Cannot resolve name "B" (possible cyclic definition) main:6: note: Recursive types are not allowed at function scope main:6: error: Cannot resolve name "C" (possible cyclic definition) main:9: note: Revealed type is "Any" main:10: note: Revealed type is "Any" [case testNewAnalyzerAliasToNotReadyTwoDeferralsFunction] # flags: --disable-error-code used-before-def import a [file a.py] from typing import List from b import D def f(x: B) -> List[B]: ... B = List[C] A = C class C(List[A]): pass [file b.py] from a import f class D: ... reveal_type(f) # N: Revealed type is "def (x: builtins.list[a.C]) -> builtins.list[builtins.list[a.C]]" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyDirectBaseFunction] # flags: --disable-error-code used-before-def import a [file a.py] from typing import List from b import D def f(x: B) -> List[B]: ... B = List[C] class C(B): pass [file b.py] from a import f class D: ... reveal_type(f) # N: Revealed type is "def (x: builtins.list[a.C]) -> builtins.list[builtins.list[a.C]]" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasToNotReadyMixed] from typing import List, Union x: A class B(List[A]): pass class C(List[A]): pass A = Union[B, C] reveal_type(x) # N: Revealed type is "Union[__main__.B, __main__.C]" reveal_type(x[0]) # N: Revealed type is "Union[__main__.B, __main__.C]" [builtins fixtures/list.pyi] [case testNewAnalyzerTrickyAliasInFuncDef] import a [file a.py] from b import B def func() -> B: ... reveal_type(func()) # N: Revealed type is "builtins.list[tuple[b.C, b.C]]" [file b.py] from typing import List, Tuple from a import func class A: ... class C(A): ... B = List[Tuple[C, C]] [builtins fixtures/list.pyi] [case testNewAnalyzerListComprehension] from typing import List class A: pass class B: pass a: List[A] a = [x for x in a] b: List[B] = [x for x in a] # E: List comprehension has incompatible type List[A]; expected List[B] [builtins fixtures/for.pyi] [case testNewAnalyzerDictionaryComprehension] from typing import Dict, List, Tuple abd: Dict[A, B] abl: List[Tuple[A, B]] abd = {a: b for a, b in abl} x: Dict[B, A] = {a: b for a, b in abl} # E: Key expression in dictionary comprehension has incompatible type "A"; expected type "B" \ # E: Value expression in dictionary comprehension has incompatible type "B"; expected type "A" y: A = {a: b for a, b in abl} # E: Incompatible types in assignment (expression has type "dict[A, B]", variable has type "A") class A: pass class B: pass [builtins fixtures/dict.pyi] [case testNewAnalyzerTypeArgBoundCheck] from typing import TypeVar, Generic class F(E): pass class E: pass T = TypeVar('T', bound=E) class C(Generic[T]): pass class D(B): pass x: C[D] # E: Type argument "D" of "C" must be a subtype of "E" y: C[F] class B: pass [case testNewAnalyzerTypeArgValueRestriction] from typing import TypeVar, Generic class F(E): pass class E: pass T = TypeVar('T', E, str) class C(Generic[T]): pass class D(B): pass x: C[D] # E: Value of type variable "T" of "C" cannot be "D" y: C[E] z: C[str] class B: pass [case testNewAnalyzerTypeArgBoundCheckWithContext] # flags: --show-error-context import a [file a.py] from typing import TypeVar, Generic T = TypeVar('T', bound=int) class C(Generic[T]): pass def f(x: C[str]) -> None: # E y: C[str] # E class A(C[str]): # E z: C[str] # E def g(self, x: C[str]) -> None: # E a: C[str] # E [out] main:2: note: In module imported here: tmp/a.py: note: In function "f": tmp/a.py:6: error: Type argument "str" of "C" must be a subtype of "int" tmp/a.py:7: error: Type argument "str" of "C" must be a subtype of "int" tmp/a.py: note: In class "A": tmp/a.py:8: error: Type argument "str" of "C" must be a subtype of "int" tmp/a.py:9: error: Type argument "str" of "C" must be a subtype of "int" tmp/a.py: note: In member "g" of class "A": tmp/a.py:10: error: Type argument "str" of "C" must be a subtype of "int" tmp/a.py:11: error: Type argument "str" of "C" must be a subtype of "int" [case testNewAnalyzerTypeArgBoundCheckDifferentNodes] from typing import TypeVar, TypedDict, Generic, NamedTuple, NewType, Union, Any, cast, overload T = TypeVar('T', bound=int) class C(Generic[T]): pass class C2(Generic[T]): pass A = C[str] # E: Value of type variable "T" of "C" cannot be "str" \ # E: Type argument "str" of "C" must be a subtype of "int" B = Union[C[str], int] # E: Type argument "str" of "C" must be a subtype of "int" S = TypeVar('S', bound=C[str]) # E: Type argument "str" of "C" must be a subtype of "int" U = TypeVar('U', C[str], str) # E: Type argument "str" of "C" must be a subtype of "int" N = NamedTuple('N', [ ('x', C[str])]) # E: Type argument "str" of "C" must be a subtype of "int" class N2(NamedTuple): x: C[str] # E: Type argument "str" of "C" must be a subtype of "int" class TD(TypedDict): x: C[str] # E: Type argument "str" of "C" must be a subtype of "int" class TD2(TD): y: C2[str] # E: Type argument "str" of "C2" must be a subtype of "int" NT = NewType('NT', C[str]) # E: Type argument "str" of "C" must be a subtype of "int" class D( C[str]): # E: Type argument "str" of "C" must be a subtype of "int" pass TD3 = TypedDict('TD3', {'x': C[str]}) # E: Type argument "str" of "C" must be a subtype of "int" a: Any for i in a: # type: C[str] # E: Type argument "str" of "C" must be a subtype of "int" pass with a as w: # type: C[str] # E: Type argument "str" of "C" must be a subtype of "int" pass cast(C[str], a) # E: Type argument "str" of "C" must be a subtype of "int" C[str]() # E: Value of type variable "T" of "C" cannot be "str" def f(s: S, y: U) -> None: pass # No error here @overload def g(x: C[str]) -> int: ... # E: Type argument "str" of "C" must be a subtype of "int" @overload def g(x: int) -> int: ... def g(x: Union[C[str], int]) -> int: # E: Type argument "str" of "C" must be a subtype of "int" y: C[object] # E: Type argument "object" of "C" must be a subtype of "int" return 0 [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNewAnalyzerTypeArgBoundCheckWithStrictOptional] # flags: --config-file tmp/mypy.ini import a [file b.py] from typing import TypeVar, Generic x: C[None] y: C[str] # E: Type argument "str" of "C" must be a subtype of "int" z: C[int] T = TypeVar('T', bound=int) class C(Generic[T]): pass [file a.py] from b import C x: C[None] # E: Type argument "None" of "C" must be a subtype of "int" y: C[str] # E: Type argument "str" of "C" must be a subtype of "int" z: C[int] [file mypy.ini] \[mypy-a] strict_optional = True \[mypy-b] strict_optional = False [case testNewAnalyzerTypeArgBoundCheckWithStrictOptionalPyProjectTOML] # flags: --config-file tmp/pyproject.toml import a [file b.py] from typing import TypeVar, Generic x: C[None] y: C[str] # E: Type argument "str" of "C" must be a subtype of "int" z: C[int] T = TypeVar('T', bound=int) class C(Generic[T]): pass [file a.py] from b import C x: C[None] # E: Type argument "None" of "C" must be a subtype of "int" y: C[str] # E: Type argument "str" of "C" must be a subtype of "int" z: C[int] [file pyproject.toml] \[[tool.mypy.overrides]] module = 'a' strict_optional = true \[[tool.mypy.overrides]] module = 'b' strict_optional = false [case testNewAnalyzerProperty] class A: @property def x(self) -> B: return 0 # E: Incompatible return value type (got "int", expected "B") @property def y(self) -> B: pass @y.setter def y(self, x: B) -> None: pass class B: pass a = A() reveal_type(a.x) # N: Revealed type is "__main__.B" a.y = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "B") [builtins fixtures/property.pyi] [case testNewAnalyzerAliasesFixedFew] from typing import List, Generic, TypeVar T = TypeVar('T') class C(Generic[T]): ... A = List[C] x: A def func(x: List[C[T]]) -> T: ... reveal_type(x) # N: Revealed type is "builtins.list[__main__.C[Any]]" reveal_type(func(x)) # N: Revealed type is "Any" [builtins fixtures/list.pyi] [case testNewAnalyzerAliasesFixedMany] from typing import List, Generic, TypeVar T = TypeVar('T') class C(Generic[T]): ... def func(x: List[C[T]]) -> T: ... x: A A = List[C[int, str]] # E: "C" expects 1 type argument, but 2 given reveal_type(x) # N: Revealed type is "builtins.list[__main__.C[Any]]" reveal_type(func(x)) # N: Revealed type is "Any" [builtins fixtures/list.pyi] [case testNewAnalyzerBuiltinAliasesFixed] from typing import List, Optional x: Optional[List] = None y: List[str] reveal_type(x) # N: Revealed type is "Union[builtins.list[Any], None]" x = ['a', 'b'] reveal_type(x) # N: Revealed type is "builtins.list[Any]" x.extend(y) [builtins fixtures/list.pyi] [case testNewAnalyzerImportPriosB] import b [file a.py] from b import x reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int]" [file b.py] import a x = (1, 2) [builtins fixtures/tuple.pyi] [case testNewAnalyzerImportPriosA] import a [file a.py] from b import x reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int]" [file b.py] import a x = (1, 2) [builtins fixtures/tuple.pyi] [case testNewAnalyzerConditionalFunc] if int(): def f(x: int) -> None: pass def g(x: int) -> None: pass elif bool(): def f(x: int) -> None: 1() # E: "int" not callable def g(x: str) -> None: # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def g(x: int) -> None \ # N: Redefinition: \ # N: def g(x: str) -> None pass else: def f(x: int) -> None: ''() # E: "str" not callable reveal_type(g) # N: Revealed type is "def (x: builtins.int)" [case testNewAnalyzerConditionalFuncDefer] if int(): def f(x: A) -> None: pass def g(x: A) -> None: pass else: def f(x: A) -> None: 1() # E: "int" not callable def g(x: str) -> None: # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def g(x: A) -> None \ # N: Redefinition: \ # N: def g(x: str) -> None pass reveal_type(g) # N: Revealed type is "def (x: __main__.A)" class A: pass [case testNewAnalyzerConditionalDecoratedFunc] from typing import Callable def dec(f: Callable[[int], None]) -> Callable[[str], None]: pass if int(): from m import f else: @dec def f(x: int) -> None: 1() # E: "int" not callable reveal_type(f) # N: Revealed type is "def (builtins.str)" [file m.py] def f(x: str, /) -> None: pass [case testNewAnalyzerConditionallyDefineFuncOverVar] from typing import Callable if int(): f: Callable[[str], None] else: def f(x: str) -> None: ... reveal_type(f) # N: Revealed type is "def (builtins.str)" [case testNewAnalyzerConditionallyDefineFuncOverClass] class C: 1() # E: "int" not callable def C() -> None: # E: Name "C" already defined on line 1 ''() # E: "str" not callable [case testNewAnalyzerTupleIteration] from typing import Union, Tuple, NamedTuple class T(Tuple[B, C]): pass class A: pass class B(A): pass class C(A): pass class NTInt(NamedTuple): x: int y: int class NTStr(NamedTuple): x: str y: str t1: T reveal_type(t1.__iter__) # N: Revealed type is "def () -> typing.Iterator[Union[__main__.B, __main__.C]]" t2: NTInt reveal_type(t2.__iter__) # N: Revealed type is "def () -> typing.Iterator[builtins.int]" nt: Union[NTInt, NTStr] reveal_type(nt.__iter__) # N: Revealed type is "Union[def () -> typing.Iterator[builtins.int], def () -> typing.Iterator[builtins.str]]" for nx in nt: reveal_type(nx) # N: Revealed type is "Union[builtins.int, builtins.str]" t: Union[Tuple[int, int], Tuple[str, str]] for x in t: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/for.pyi] [case testNewAnalyzerFallbackUpperBoundCheckAndFallbacks] from typing import TypeVar, Generic, Tuple class A: pass class B: pass class C(B): pass S = TypeVar('S', bound='Tuple[G[A], ...]') class GG(Generic[S]): pass g: GG[Tuple[G[B], G[C]]] # E: Type argument "tuple[G[B], G[C]]" of "GG" must be a subtype of "tuple[G[A], ...]" \ # E: Type argument "B" of "G" must be a subtype of "A" \ # E: Type argument "C" of "G" must be a subtype of "A" T = TypeVar('T', bound=A, covariant=True) class G(Generic[T]): pass t: Tuple[G[B], G[C]] # E: Type argument "B" of "G" must be a subtype of "A" \ # E: Type argument "C" of "G" must be a subtype of "A" reveal_type(t.__iter__) # N: Revealed type is "def () -> typing.Iterator[__main__.G[__main__.B]]" [builtins fixtures/tuple.pyi] [case testNewAnalyzerClassKeywordsForward] class C(B, other=A): ... class B: ... class A: ... [case testNewAnalyzerClassKeywordsCyclic] from typing import List class C(List[C], other=C): ... [builtins fixtures/list.pyi] [case testNewAnalyzerClassKeywordsError] class C(other=asdf): ... # E: Name "asdf" is not defined [case testNewAnalyzerMissingImport] # flags: --ignore-missing-imports import non_existing x: C class C: ... [case testNewAnalyzerMissingImportFrom] # flags: --ignore-missing-imports from non_existing import stuff x: C class C: ... [case testNewAnalyzerFollowSkip] # flags: --follow-imports=skip from other import y x: C class C: ... [file other.py] y = 1 [case testNewAnalyzerMissingImportErrors] # flags: --ignore-missing-imports from non_existing import stuff, other_stuff stuff = 1 # OK other_stuff: int = 1 # E: Name "other_stuff" already defined (possibly by an import) x: C class C: ... [case testNewAnalyzerMissingImportErrorsRedefinition] # flags: --ignore-missing-imports class Other: ... from non_existing import Other # E: Name "Other" already defined on line 3 from non_existing import Cls class Cls: ... # E: Name "Cls" already defined (possibly by an import) x: C class C: ... [case testNewAnalyzerTupleInit] from typing import Tuple c: C class C(Tuple[int, str]): def __init__(self) -> None: pass [builtins fixtures/tuple.pyi] [case testNewAnalyzerNotAnAlias] class Meta(type): x = int() class C(metaclass=Meta): pass y = C.x reveal_type(y) # N: Revealed type is "builtins.int" [case testNewAnalyzerFunctionError] def f(x: asdf) -> None: # E: Name "asdf" is not defined pass [case testNewAnalyzerEnumRedefinition] from enum import Enum A = Enum('A', ['x', 'y']) A = Enum('A', ['z', 't']) # E: Name "A" already defined on line 3 [builtins fixtures/tuple.pyi] [case testNewAnalyzerNewTypeRedefinition] from typing import NewType A = NewType('A', int) A = NewType('A', str) # E: Cannot redefine "A" as a NewType \ # E: Name "A" already defined on line 3 [case testNewAnalyzerNewTypeForwardClass] from typing import NewType, List x: C reveal_type(x[0]) # N: Revealed type is "__main__.C" C = NewType('C', 'B') class B(List[C]): pass [builtins fixtures/list.pyi] [case testNewAnalyzerNewTypeForwardClassAlias] from typing import NewType, List x: D reveal_type(x[0]) # N: Revealed type is "__main__.C" C = NewType('C', 'B') D = C class B(List[D]): pass [builtins fixtures/list.pyi] [case testNewAnalyzerNewTypeForwardClassAliasReversed] from typing import NewType, List x: D reveal_type(x[0][0]) # N: Revealed type is "__main__.C" D = C # E: Name "C" is used before definition C = NewType('C', 'List[B]') class B(List[C]): pass [builtins fixtures/list.pyi] [case testNewAnalyzerNewTypeForwardClassAliasDirect] # flags: --disable-error-code used-before-def from typing import NewType, List def test() -> None: x: D reveal_type(x[0][0]) D = List[C] C = NewType('C', 'B') class B(D): pass [builtins fixtures/list.pyi] [out] main:5: error: Cannot resolve name "D" (possible cyclic definition) main:5: note: Recursive types are not allowed at function scope main:6: note: Revealed type is "Any" main:8: error: Cannot resolve name "D" (possible cyclic definition) main:8: note: Recursive types are not allowed at function scope main:8: error: Cannot resolve name "C" (possible cyclic definition) main:9: error: Argument 2 to NewType(...) must be a valid type main:9: error: Cannot resolve name "B" (possible cyclic definition) main:9: note: Recursive types are not allowed at function scope -- Copied from check-classes.test (tricky corner cases). [case testNewAnalyzerNoCrashForwardRefToBrokenDoubleNewTypeClass] from typing import Any, Dict, List, NewType Foo = NewType('NotFoo', int) # type: ignore Foos = NewType('Foos', List[Foo]) x: C class C: def frob(self, foos: Dict[Any, Foos]) -> None: foo = foos.get(1) assert foo dict(foo) [builtins fixtures/dict.pyi] [case testNewAnalyzerForwardTypeAliasInBase] from typing import List, Generic, TypeVar, NamedTuple T = TypeVar('T') def test() -> None: class C(A, B): # E: Cannot resolve name "A" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope pass class G(Generic[T]): pass A = G[C] # E: Cannot resolve name "A" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope class B(NamedTuple): x: int y: C reveal_type(y.x) # N: Revealed type is "builtins.int" reveal_type(y[0]) # N: Revealed type is "builtins.int" x: A reveal_type(x) # N: Revealed type is "__main__.G@7[tuple[builtins.int, fallback=__main__.C@5]]" [builtins fixtures/list.pyi] [case testNewAnalyzerDuplicateTypeVar] from typing import TypeVar, Generic, Any T = TypeVar('T', bound='B[Any]') # The "int" error is because of typing fixture. T = TypeVar('T', bound='C') # E: Cannot redefine "T" as a type variable \ # E: Invalid assignment target class B(Generic[T]): x: T class C: ... x: B[int] # E: Type argument "int" of "B" must be a subtype of "B[Any]" y: B[B[Any]] reveal_type(y.x) # N: Revealed type is "__main__.B[Any]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testNewAnalyzerDuplicateTypeVarImportCycle] # flags: --disable-error-code used-before-def import a [file a.py] from typing import TypeVar, Any from b import B, C T = TypeVar('T', bound=B[Any]) T = TypeVar('T', bound=C) [file b.py] from typing import Generic, Any from a import T class B(Generic[T]): x: T class C: ... x: B[int] y: B[B[Any]] reveal_type(y.x) [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [out] tmp/b.py:8: error: Type argument "int" of "B" must be a subtype of "B[Any]" tmp/b.py:10: note: Revealed type is "b.B[Any]" tmp/a.py:5: error: Cannot redefine "T" as a type variable tmp/a.py:5: error: Invalid assignment target [case testNewAnalyzerDuplicateTypeVarImportCycleWithAliases] # flags: --disable-error-code used-before-def import a [file a.py] from typing import TypeVar, Any from b import BA, C T = TypeVar('T', bound=BAA[Any]) T = TypeVar('T', bound=C) BAA = BA [file b.py] from typing import Generic, Any from a import T BA = B class B(Generic[T]): x: T class C: ... x: B[int] y: B[B[Any]] reveal_type(y.x) [out] tmp/b.py:9: error: Type argument "int" of "B" must be a subtype of "B[Any]" tmp/b.py:11: note: Revealed type is "b.B[Any]" tmp/a.py:5: error: Cannot redefine "T" as a type variable tmp/a.py:5: error: Invalid assignment target [case testNewAnalyzerTypeVarBoundInCycle] import factory, box [file factory.py] from typing import Generic, Type from box import BoxT class Factory(Generic[BoxT]): value: int def create(self, boxClass: Type[BoxT]) -> BoxT: reveal_type(boxClass.create(self)) # N: Revealed type is "BoxT`1" return boxClass.create(self) [file box.py] from typing import TYPE_CHECKING, Type, TypeVar if TYPE_CHECKING: from factory import Factory BoxT = TypeVar('BoxT', bound='Box') class Box: @classmethod def create(cls: Type[BoxT], f: Factory) -> BoxT: return cls(f.value) def __init__(self, value: int) -> None: ... [builtins fixtures/classmethod.pyi] [typing fixtures/typing-medium.pyi] [case testNewAnalyzerCastForward1] from typing import cast x = cast('C', None) class A: def foo(self) -> None: self.x = cast('C', None) reveal_type(x) # N: Revealed type is "__main__.C" reveal_type(A().x) # N: Revealed type is "__main__.C" class C(A): ... [case testNewAnalyzerCastForward2] from typing import cast x = cast('C', None) reveal_type(x) # N: Revealed type is "builtins.int" C = int [case testNewAnalyzerCastForward3] from typing import cast, NamedTuple x = cast('C', None) reveal_type(x) # N: Revealed type is "tuple[builtins.int, fallback=__main__.C]" reveal_type(x.x) # N: Revealed type is "builtins.int" C = NamedTuple('C', [('x', int)]) [builtins fixtures/tuple.pyi] [case testNewAnalyzerApplicationForward1] # flags: --disable-error-code used-before-def from typing import Generic, TypeVar x = C[int]() reveal_type(x) # N: Revealed type is "__main__.C[builtins.int]" T = TypeVar('T') class C(Generic[T]): ... [case testNewAnalyzerApplicationForward2] from typing import Generic, TypeVar T = TypeVar('T') class C(Generic[T]): ... x = C['A']() reveal_type(x) # N: Revealed type is "__main__.C[__main__.A]" class A: ... [case testNewAnalyzerApplicationForward3] from typing import Generic, TypeVar class A: ... T = TypeVar('T') class C(Generic[T]): ... x = C[A]() reveal_type(x) # N: Revealed type is "__main__.C[__main__.A]" [case testNewAnalyzerApplicationForward4] # flags: --disable-error-code used-before-def from typing import Generic, TypeVar x = C[A]() # E: Value of type variable "T" of "C" cannot be "A" reveal_type(x) # N: Revealed type is "__main__.C[__main__.A]" T = TypeVar('T', bound='D') class C(Generic[T]): ... class A: ... class D: ... [case testNewAnalyzerAddedSubStarImport_incremental] # TODO: This can be removed once testAddedSubStarImport is enabled in check-incremental.test. # cmd: mypy -m a pack pack.mod b # cmd2: mypy -m other [file a.py] from pack import * [file pack/__init__.py] [file pack/mod.py] [file b.py] import pack.mod [file other.py] import a [out] [out2] [case testNewAnalyzerModuleGetattrSerialize_incremental] import a [file a.py] import p [file a.py.2] import p reveal_type(p.y) [file p.pyi] from pp import x y = x [file pp.pyi] def __getattr__(attr): ... [out2] tmp/a.py:2: note: Revealed type is "Any" [case testNewAnanlyzerTrickyImportPackage] from lib import config import lib reveal_type(lib.config.x) # N: Revealed type is "builtins.int" reveal_type(config.x) # N: Revealed type is "builtins.int" [file lib/__init__.py] from lib.config import config [file lib/config.py] class Config: x: int config = Config() [builtins fixtures/module.pyi] [case testNewAnanlyzerTrickyImportPackageAlt] import lib.config import lib.config as tmp reveal_type(lib.config.x) # N: Revealed type is "builtins.int" # TODO: this actually doesn't match runtime behavior, variable wins. tmp.x # E: Module has no attribute "x" [file lib/__init__.py] from lib.config import config [file lib/config.py] class Config: x: int config = Config() [builtins fixtures/module.pyi] [case testNewAnanlyzerTrickyImportPackage_incremental] import a [file a.py] from lib import config import lib [file a.py.2] from lib import config import lib reveal_type(lib.config.x) reveal_type(config.x) [file lib/__init__.py] from lib.config import config [file lib/config.py] class Config: x: int config = Config() [builtins fixtures/module.pyi] [out2] tmp/a.py:4: note: Revealed type is "builtins.int" tmp/a.py:5: note: Revealed type is "builtins.int" [case testNewAnalyzerRedefineAsClass] from typing import Any from other import C # type: ignore y = 'bad' class C: # E: Name "C" already defined (possibly by an import) def meth(self, other: int) -> None: y() # E: "str" not callable [case testNewAnalyzerRedefineAsOverload] from typing import overload y = 'bad' if int(): def f(x: int) -> None: pass else: @overload # E: Name "f" already defined on line 6 def f(x: int) -> None: ... @overload def f(x: str) -> None: ... def f(x) -> None: y() # E: "str" not callable [case testNewAnalyzerFirstAliasTargetWins] class DesiredTarget: attr: int if int(): Alias = DesiredTarget else: class DummyTarget: pass Alias = DummyTarget # type: ignore x: Alias reveal_type(x.attr) # N: Revealed type is "builtins.int" [case testNewAnalyzerFirstVarDefinitionWins] x = y # E: Name "y" is used before definition x = 1 # We want to check that the first definition creates the variable. def x() -> None: ... # E: Name "x" already defined on line 1 y = 2 [case testNewAnalyzerImportStarSpecialCase] import unittest [file unittest/__init__.pyi] from unittest.suite import * def load_tests() -> TestSuite: ... [file unittest/suite.pyi] from typing import Union # Iterable not imported import unittest.case _TestType = Union[unittest.case.TestCase] class BaseTestSuite(Iterable[_TestType]): ... class TestSuite(BaseTestSuite): ... [file unittest/case.pyi] class TestCase: ... [out] tmp/unittest/suite.pyi:6: error: Name "Iterable" is not defined tmp/unittest/suite.pyi:6: note: Did you forget to import it from "typing"? (Suggestion: "from typing import Iterable") [case testNewAnalyzerNewTypeSpecialCase] from typing import Final, Literal, NewType X = NewType('X', int) var1: Final = 1 def force1(x: Literal[1]) -> None: pass force1(reveal_type(var1)) # N: Revealed type is "Literal[1]" [builtins fixtures/tuple.pyi] [case testNewAnalyzerReportLoopInMRO] class A(A): ... # E: Cannot resolve name "A" (possible cyclic definition) [out] [case testNewSemanticAnalyzerUnimportedSpecialCase] # flags: --ignore-missing-imports import other import p.u [file p/__init__.py] [file p/u.pyi] from . import c x: c.C [file other.py] from p.c import B [out] [case testNewSemanticAnalyzerQualifiedFunctionAsType] import m x: m.C.a.b # E: Name "m.C.a.b" is not defined [file m.py] def C(): pass [case testNewSemanticAnalyzerModulePrivateRefInMiddleOfQualified] import m x: m.n.C # E: Name "m.n.C" is not defined reveal_type(x) # N: Revealed type is "Any" [file m.pyi] import n [file n.pyi] class C: pass [case testNewAnalyzerModuleGetAttr] import m import n x: m.n.C y: n.D [file m.py] import n [file n.py] def __getattr__(x): pass [case testNewAnalyzerReportLoopInMRO2] def f() -> None: class A(A): ... # E: Cannot resolve name "A" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope [case testNewAnalyzerUnsupportedBaseClassInsideFunction] class C: class E: pass def f(self) -> None: # TODO: Error message could be better class D(self.E): # E: Name "self.E" is not defined pass [case testNewAnalyzerShadowOuterDefinitionBasedOnOrderSinglePass] # Only one semantic analysis pass class X: pass class C: X = X reveal_type(X) # N: Revealed type is "def () -> __main__.X" reveal_type(C.X) # N: Revealed type is "def () -> __main__.X" [case testNewAnalyzerShadowOuterDefinitionBasedOnOrderTwoPasses] c: C # Force second semantic analysis pass class X: pass class C: X = X reveal_type(X) # N: Revealed type is "def () -> __main__.X" reveal_type(C.X) # N: Revealed type is "def () -> __main__.X" [case testNewAnalyzerAnnotationConflictsWithAttributeSinglePass] class C: def x(self) -> int: return 0 def __init__(self) -> None: self.int = '' def y(self) -> int: return 0 z: str def str(self) -> str: return 0 # E: Incompatible return value type (got "int", expected "str") zz: str # E: Function "__main__.C.str" is not valid as a type \ # N: Perhaps you need "Callable[...]" or a callback protocol? reveal_type(C().x()) # N: Revealed type is "builtins.int" reveal_type(C().y()) # N: Revealed type is "builtins.int" reveal_type(C().z) # N: Revealed type is "builtins.str" reveal_type(C().str()) # N: Revealed type is "builtins.str" [case testNewAnalyzerAnnotationConflictsWithAttributeTwoPasses] c: C # Force second semantic analysis pass class C: def x(self) -> int: return 0 def __init__(self) -> None: self.int = '' def y(self) -> int: return 0 z: str def str(self) -> str: return 0 # E: Incompatible return value type (got "int", expected "str") zz: str # E: Function "__main__.C.str" is not valid as a type \ # N: Perhaps you need "Callable[...]" or a callback protocol? reveal_type(C().x()) # N: Revealed type is "builtins.int" reveal_type(C().y()) # N: Revealed type is "builtins.int" reveal_type(C().z) # N: Revealed type is "builtins.str" reveal_type(C().str()) # N: Revealed type is "builtins.str" [case testNewAnalyzerNameConflictsAndMultiLineDefinition] c: C # Force second semantic analysis pass class X: pass class C: X = ( X) def str(self ) -> str: return 0 # E: Incompatible return value type (got "int", expected "str") reveal_type(C.X) # E: # N: Revealed type is "def () -> __main__.X" reveal_type(C().str()) # N: Revealed type is "builtins.str" [case testNewAnalyzerNameNotDefinedYetInClassBody] class C: X = Y # E: Name "Y" is not defined Y = 1 f = g # E: Name "g" is not defined def g(self) -> None: pass reveal_type(C.X) # N: Revealed type is "Any" [case testNewAnalyzerImportedNameUsedInClassBody] import m [file m.py] class C: from mm import f # E: Unsupported class scoped import @dec(f) def m(self): pass def dec(f): pass [file mm.py] # 1 padding to increase line number of 'f' # 2 padding # 3 padding # 4 padding # 5 padding # 6 padding def f(): pass [case testNewAnalyzerImportedNameUsedInClassBody2] import m [file m/__init__.py] class C: from m.m import f # E: Unsupported class scoped import @dec(f) def m(self): pass def dec(f): pass [file m/m.py] # 1 padding to increase line number of 'f' # 2 padding # 3 padding # 4 padding # 5 padding # 6 padding def f(): pass [case testNewAnalyzerOverrideClassWithTypeAlias] from typing import Generic, TypeVar T = TypeVar('T') class C(Generic[T]): pass C = C[int] # E: Cannot assign to a type \ # E: Incompatible types in assignment (expression has type "type[C[int]]", variable has type "type[C[T]]") x: C reveal_type(x) # N: Revealed type is "__main__.C[Any]" [case testNewAnalyzerClassVariableOrdering] def foo(x: str) -> None: pass class Something: def run(self) -> None: foo(self.IDS[0]) # E: Argument 1 to "foo" has incompatible type "int"; expected "str" IDS = [87] [builtins fixtures/list.pyi] [case testNewAnalyzerPlaceholderFromOuterScope] import b [file a.py] import b class A(B): ... class B: ... [file b.py] from a import A class C: A = A # Initially rvalue will be a placeholder reveal_type(C.A) # N: Revealed type is "def () -> a.A" [case testNewAnalyzerFinalLiteralInferredAsLiteralWithDeferral] from typing import Final, Literal defer: Yes var: Final = 42 def force(x: Literal[42]) -> None: pass force(reveal_type(var)) # N: Revealed type is "Literal[42]" class Yes: ... [builtins fixtures/tuple.pyi] [case testNewAnalyzerImportCycleWithIgnoreMissingImports] # flags: --ignore-missing-imports import p reveal_type(p.get) # N: Revealed type is "def () -> builtins.int" [file p/__init__.pyi] from . import api get = api.get [file p/api.pyi] import p def get() -> int: ... [case testUseObsoleteNameForTypeVar3] import typing t = typing.typevar('t') # E: Module has no attribute "typevar" [builtins fixtures/module.pyi] [typing fixtures/typing-full.pyi] [case testNewAnalyzerImportFromTopLevelFunction] import a.b # This works at runtime reveal_type(a.b) # N [file a/__init__.py] from .b import B from . import b as c def b() -> None: pass reveal_type(b) # N reveal_type(c.B()) # N x: Forward class Forward: ... [file a/b.py] class B: ... [builtins fixtures/module.pyi] [out] tmp/a/__init__.py:4: note: Revealed type is "def ()" tmp/a/__init__.py:5: note: Revealed type is "a.b.B" main:2: note: Revealed type is "def ()" [case testNewAnalyzerImportFromTopLevelAlias] import a.b # This works at runtime reveal_type(a.b) # N [file a/__init__.py] from .b import B from . import b as c b = int y: b reveal_type(y) # N reveal_type(c.B) # N x: Forward class Forward: ... [file a/b.py] class B: ... [builtins fixtures/module.pyi] [out] tmp/a/__init__.py:5: note: Revealed type is "builtins.int" tmp/a/__init__.py:6: note: Revealed type is "def () -> a.b.B" main:2: note: Revealed type is "def () -> builtins.int" [case testNewAnalyzerImportAmbiguousWithTopLevelFunction] import a.b # This works at runtime x: a.b.B # E reveal_type(a.b) # N [file a/__init__.py] import a.b import a.b as c def b() -> None: pass reveal_type(b) # N reveal_type(c.B()) # N x: Forward class Forward: ... [file a/b.py] class B: ... [builtins fixtures/module.pyi] [out] tmp/a/__init__.py:4: note: Revealed type is "def ()" tmp/a/__init__.py:5: note: Revealed type is "a.b.B" main:2: error: Name "a.b.B" is not defined main:3: note: Revealed type is "def ()" [case testNewAnalyzerConfusingImportConflictingNames] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy -m other a.b a [file a/__init__.py] [file a/b/__init__.py] import other import a.b.a import a.b.c [file other.py] from a.b.a import foo [builtins fixtures/module.pyi] [out] [case testNewAnalyzerNamedTupleMethod] from typing import NamedTuple g: N class N(NamedTuple): def f(self) -> None: b = ( a for a in [1] ) b [builtins fixtures/tuple.pyi] [case testWithMultipleTargetsDeferred] a: A class A: def __enter__(self) -> int: pass def __exit__(self, x, y, z): pass with A() as x, A() as y: # type: int, int pass [case testNewAnalyzerLessErrorsNeedAnnotation] from typing import TypeVar, Optional T = TypeVar('T') def f(x: Optional[T] = None) -> T: ... x = f() # E: Need type annotation for "x" y = x def g() -> None: x = f() # E: Need type annotation for "x" y = x [case testNewAnalyzerLessErrorsNeedAnnotationList] x = [] # type: ignore reveal_type(x) # N: Revealed type is "builtins.list[Any]" def g() -> None: x = [] # type: ignore reveal_type(x) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/list.pyi] [case testNewAnalyzerLessErrorsNeedAnnotationNested] from typing import TypeVar, Optional, Generic T = TypeVar('T') class G(Generic[T]): ... def f(x: Optional[T] = None) -> G[T]: ... x = f() # E: Need type annotation for "x" y = x reveal_type(y) # N: Revealed type is "__main__.G[Any]" def g() -> None: x = f() # E: Need type annotation for "x" y = x reveal_type(y) # N: Revealed type is "__main__.G[Any]" [case testNewAnalyzerRedefinedNonlocal] # flags: --disable-error-code=annotation-unchecked import typing def f(): bar = [] # type: typing.List[int] def foo(): nonlocal bar bar = [] # type: typing.List[int] def g() -> None: bar = [] # type: typing.List[int] def foo() -> None: nonlocal bar bar = [] # type: typing.List[int] # E: Name "bar" already defined on line 12 [builtins fixtures/list.pyi] [case testNewAnalyzerMoreInvalidTypeVarArgumentsDeferred] from typing import TypeVar, Generic defer: Yes S = TypeVar('S', covariant=True, contravariant=True) # E: TypeVar cannot be both covariant and contravariant \ # E: "int" not callable class Yes: ... [builtins fixtures/bool.pyi] [case testNewAnalyzerDisallowAnyGenericsMessages] # mypy: disallow-any-generics from a import B x: B [file a.py] from typing import TypeVar, List T = TypeVar('T') A = List[T] B = A [builtins fixtures/list.pyi] [case testNewAnalyzerVarTypeVarNoCrash] from typing import Callable, TypeVar FooT = TypeVar('FooT', bound='Foo') class Foo: ... f = lambda x: True # type: Callable[[FooT], bool] reveal_type(f) # N: Revealed type is "def [FooT <: __main__.Foo] (FooT`-1) -> builtins.bool" [builtins fixtures/bool.pyi] [case testNewAnalyzerVarTypeVarNoCrashImportCycle] import a [file a.py] from b import B from typing import TypeVar FooT = TypeVar('FooT', bound='Foo') class Foo: ... [file b.py] from a import FooT from typing import Callable f = lambda x: True # type: Callable[[FooT], bool] reveal_type(f) # N: Revealed type is "def [FooT <: a.Foo] (FooT`-1) -> builtins.bool" class B: ... [builtins fixtures/bool.pyi] [case testNewAnalyzerFuncTypeVarNoCrashImportCycle] import a [file a.py] from b import B from typing import TypeVar FooT = TypeVar('FooT', bound='Foo') class Foo: ... [file b.py] from a import FooT from typing import Callable def f(x: FooT) -> bool: ... reveal_type(f) # N: Revealed type is "def [FooT <: a.Foo] (x: FooT`-1) -> builtins.bool" class B: ... [builtins fixtures/bool.pyi] [case testNewAnalyzerNoCrashOnStarInference] from typing import Tuple def f() -> None: t: Tuple[str, Tuple[str, str, str]] x, (y, *z) = t reveal_type(z) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/list.pyi] [case testNewAnalyzerIdentityAssignment1] from foo import * try: X = X except: class X: # E: Name "X" already defined (possibly by an import) pass reveal_type(X()) # N: Revealed type is "foo.X" [file foo.py] class X: pass [case testNewAnalyzerIdentityAssignment2] try: int = int reveal_type(int()) # N: Revealed type is "builtins.int" except: class int: # E: Name "int" already defined (possibly by an import) pass reveal_type(int()) # N: Revealed type is "builtins.int" [case testNewAnalyzerIdentityAssignment3] forwardref: C try: int = int reveal_type(int()) # N: Revealed type is "builtins.int" except: class int: # E: Name "int" already defined (possibly by an import) pass reveal_type(int()) # N: Revealed type is "builtins.int" class C: pass [case testNewAnalyzerIdentityAssignment4] try: C = C C except: class C: pass reveal_type(C()) # N: Revealed type is "__main__.C" [case testNewAnalyzerIdentityAssignment5] forwardref: D try: C = C C except: class C: pass class D: pass reveal_type(C()) # N: Revealed type is "__main__.C" [case testNewAnalyzerIdentityAssignment6] x: C class C: pass C = C reveal_type(C()) # N: Revealed type is "__main__.C" reveal_type(x) # N: Revealed type is "__main__.C" [case testNewAnalyzerIdentityAssignment7] C = C # E: Name "C" is not defined reveal_type(C) # E: Name "C" is not defined \ # N: Revealed type is "Any" [case testNewAnalyzerIdentityAssignment8] from typing import Final x: Final = 0 x = x # E: Cannot assign to final name "x" [case testNewAnalyzerIdentityAssignmentClassImplicit] class C: ... class A: C = C[str] # E: "C" expects no type arguments, but 1 given [builtins fixtures/tuple.pyi] [case testNewAnalyzerIdentityAssignmentClassExplicit] from typing_extensions import TypeAlias class A: C: TypeAlias = C class C: ... c: A.C reveal_type(c) # N: Revealed type is "__main__.C" [builtins fixtures/tuple.pyi] [case testNewAnalyzerClassPropertiesInAllScopes] from abc import abstractmethod, ABCMeta class TopLevel(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass TopLevel() # E: Cannot instantiate abstract class "TopLevel" with abstract attribute "f" def func() -> None: class Function(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass Function() # E: Cannot instantiate abstract class "Function" with abstract attribute "f" class C: def meth(self) -> None: class Method(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass Method() # E: Cannot instantiate abstract class "Method" with abstract attribute "f" [case testModulesAndFuncsTargetsInCycle] import a [file a.py] import b defer: Yes def func() -> int: ... class Yes: ... [file b.py] import a def func() -> int: ... [targets b, a, a, b.func, a.func, __main__] [case testNewAnalyzerForwardReferenceInFunction] def f(x: 'A') -> 'A': return A() class A: pass [targets __main__, __main__.f] [case testNewAnalyzerSimpleImportStarNoDeferral] from m import * x: A f() [file m.py] class A: pass def f() -> None: pass [targets m, m.f, __main__] [case testNewAnalyzerNoCrashOnCustomProperty] # flags: --ignore-missing-imports from unimported import custom class User: first_name: str @custom def name(self) -> str: return self.first_name @name.setter # type: ignore def name(self, value: str) -> None: self.first_name = value def __init__(self, name: str) -> None: self.name = name # E: Cannot assign to a method [case testNewAnalyzerMemberNameMatchesTypedDict] from typing import TypedDict, Union, Any class T(TypedDict): b: b.T class b: T: Union[Any] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNewAnalyzerMemberNameMatchesNamedTuple] from typing import Union, Any, NamedTuple class T(NamedTuple): b: b.T class b: T = Union[Any] [builtins fixtures/tuple.pyi] [case testSelfReferentialSubscriptExpression] x = x[1] # E: Cannot resolve name "x" (possible cyclic definition) y = 1[y] # E: Value of type "int" is not indexable \ # E: Cannot determine type of "y" [case testForwardBaseDeferAttr] from typing import Optional, Callable, TypeVar class C(B): def a(self) -> None: reveal_type(self._foo) # N: Revealed type is "Union[builtins.int, None]" self._foo = defer() class B: def __init__(self) -> None: self._foo: Optional[int] = None T = TypeVar("T") def deco(fn: Callable[[], T]) -> Callable[[], T]: ... @deco def defer() -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-newsyntax.test0000644000175100017510000000736515112307767021153 0ustar00runnerrunner[case testNewSyntaxSyntaxError] x: int: int # E: Invalid syntax [out] [case testNewSyntaxBasics] x: int x = 5 y: int = 5 a: str a = 5 # E: Incompatible types in assignment (expression has type "int", variable has type "str") b: str = 5 # E: Incompatible types in assignment (expression has type "int", variable has type "str") zzz: int zzz: str # E: Name "zzz" already defined on line 9 [out] [case testNewSyntaxWithDict] from typing import Dict, Any d: Dict[int, str] = {} d[42] = 'ab' d[42] = 42 # E: Incompatible types in assignment (expression has type "int", target has type "str") d['ab'] = 'ab' # E: Invalid index type "str" for "dict[int, str]"; expected type "int" [builtins fixtures/dict.pyi] [out] [case testNewSyntaxWithRevealType] from typing import Dict def tst_local(dct: Dict[int, T]) -> Dict[T, int]: ret: Dict[T, int] = {} return ret reveal_type(tst_local({1: 'a'})) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" [builtins fixtures/dict.pyi] [out] [case testNewSyntaxWithInstanceVars] class TstInstance: a: str def __init__(self) -> None: self.x: int TstInstance().x = 5 TstInstance().x = 'ab' # E: Incompatible types in assignment (expression has type "str", variable has type "int") TstInstance().a = 5 # E: Incompatible types in assignment (expression has type "int", variable has type "str") TstInstance().a = 'ab' [out] [case testNewSyntaxWithClassVars] class CCC: a: str = None # E: Incompatible types in assignment (expression has type "None", variable has type "str") [out] [case testNewSyntaxWithStrictOptional] strict: int strict = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") strict2: int = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") [out] [case testNewSyntaxWithStrictOptionalFunctions] def f() -> None: x: int if int(): x = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") [out] [case testNewSyntaxWithStrictOptionalClasses] class C: def meth(self) -> None: x: int = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") self.x: int = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") [out] [case testNewSyntaxSpecialAssign] class X: x: str x[0]: int x.x: int [out] main:3: error: Unexpected type declaration main:3: error: Unsupported target for indexed assignment ("str") main:4: error: Type cannot be declared in assignment to non-self attribute main:4: error: "str" has no attribute "x" [case testNewSyntaxFStringBasics] f'foobar' f'{"foobar"}' f'foo{"bar"}' f'.{1}.' f'{type(1)}' a: str a = f'foobar' a = f'{"foobar"}' [builtins fixtures/f_string.pyi] [case testNewSyntaxFStringExpressionsOk] f'.{1 + 1}.' f'.{1 + 1}.{"foo" + "bar"}' [builtins fixtures/f_string.pyi] [case testNewSyntaxFStringExpressionsErrors] f'{1 + ""}' f'.{1 + ""}' [builtins fixtures/f_string.pyi] [out] main:1: error: Unsupported operand types for + ("int" and "str") main:2: error: Unsupported operand types for + ("int" and "str") [case testNewSyntaxFStringParseFormatOptions] value = 10.5142 width = 10 precision = 4 f'result: {value:{width}.{precision}}' [builtins fixtures/f_string.pyi] [case testNewSyntaxFStringSingleField] v = 1 reveal_type(f'{v}') # N: Revealed type is "builtins.str" reveal_type(f'{1}') # N: Revealed type is "builtins.str" [builtins fixtures/f_string.pyi] [case testFeatureVersionSuggestion] # flags: --python-version 3.99 x *** x this is what future python looks like public static void main String[] args await goto exit [out] main:2: error: Invalid syntax; you likely need to run mypy using Python 3.99 or newer ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-newtype.test0000644000175100017510000002422615112307767020601 0ustar00runnerrunner-- Checks NewType(...) -- Checks for basic functionality [case testNewTypePEP484Example1] from typing import NewType UserId = NewType('UserId', int) def name_by_id(user_id: UserId) -> str: return "foo" UserId('user') # E: Argument 1 to "UserId" has incompatible type "str"; expected "int" name_by_id(42) # E: Argument 1 to "name_by_id" has incompatible type "int"; expected "UserId" name_by_id(UserId(42)) id = UserId(5) num = id + 1 reveal_type(id) # N: Revealed type is "__main__.UserId" reveal_type(num) # N: Revealed type is "builtins.int" [targets __main__, __main__.UserId.__init__, __main__.name_by_id] [case testNewTypePEP484Example2] from typing import NewType class PacketId: def __init__(self, major: int, minor: int) -> None: self._major = major self._minor = minor TcpPacketId = NewType('TcpPacketId', PacketId) packet = PacketId(100, 100) tcp_packet = TcpPacketId(packet) tcp_packet = TcpPacketId(127, 0) [out] main:12: error: Too many arguments for "TcpPacketId" main:12: error: Argument 1 to "TcpPacketId" has incompatible type "int"; expected "PacketId" [case testNewTypeWithTuples] from typing import NewType, Tuple TwoTuple = NewType('TwoTuple', Tuple[int, str]) a = TwoTuple((3, "a")) b = TwoTuple(("a", 3)) # E: Argument 1 to "TwoTuple" has incompatible type "tuple[str, int]"; expected "tuple[int, str]" reveal_type(a[0]) # N: Revealed type is "builtins.int" reveal_type(a[1]) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [out] [case testNewTypeWithLists] from typing import NewType, List UserId = NewType('UserId', int) IdList = NewType('IdList', List[UserId]) bad1 = IdList([1]) # E: List item 0 has incompatible type "int"; expected "UserId" foo = IdList([]) foo.append(3) # E: Argument 1 to "append" of "list" has incompatible type "int"; expected "UserId" foo.append(UserId(3)) foo.extend([UserId(1), UserId(2), UserId(3)]) foo.extend(IdList([UserId(1), UserId(2), UserId(3)])) bar = IdList([UserId(2)]) baz = foo + bar reveal_type(foo) # N: Revealed type is "__main__.IdList" reveal_type(bar) # N: Revealed type is "__main__.IdList" reveal_type(baz) # N: Revealed type is "builtins.list[__main__.UserId]" [builtins fixtures/list.pyi] [out] [case testNewTypeWithGenerics] from typing import TypeVar, Generic, NewType, Any T = TypeVar('T') class Base(Generic[T]): def __init__(self, item: T) -> None: self.item = item def getter(self) -> T: return self.item Derived1 = NewType('Derived1', Base[str]) Derived2 = NewType('Derived2', Base) # Implicit 'Any' Derived3 = NewType('Derived3', Base[Any]) # Explicit 'Any' Derived1(Base(1)) # E: Argument 1 to "Base" has incompatible type "int"; expected "str" Derived1(Base('a')) Derived2(Base(1)) Derived2(Base('a')) Derived3(Base(1)) Derived3(Base('a')) reveal_type(Derived1(Base('a')).getter()) # N: Revealed type is "builtins.str" reveal_type(Derived3(Base('a')).getter()) # N: Revealed type is "Any" [out] [case testNewTypeWithNamedTuple] from collections import namedtuple from typing import NewType, NamedTuple Vector1 = namedtuple('Vector1', ['x', 'y']) Point1 = NewType('Point1', Vector1) p1 = Point1(Vector1(1, 2)) reveal_type(p1.x) # N: Revealed type is "Any" reveal_type(p1.y) # N: Revealed type is "Any" Vector2 = NamedTuple('Vector2', [('x', int), ('y', int)]) Point2 = NewType('Point2', Vector2) p2 = Point2(Vector2(1, 2)) reveal_type(p2.x) # N: Revealed type is "builtins.int" reveal_type(p2.y) # N: Revealed type is "builtins.int" class Vector3: def __init__(self, x: int, y: int) -> None: self.x = x self.y = y Point3 = NewType('Point3', Vector3) p3 = Point3(Vector3(1, 3)) reveal_type(p3.x) # N: Revealed type is "builtins.int" reveal_type(p3.y) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [out] [case testNewTypeWithCasts] from typing import NewType, cast UserId = NewType('UserId', int) foo = UserId(3) foo = cast(UserId, 3) foo = cast(UserId, "foo") foo = cast(UserId, UserId(4)) [out] [case testNewTypeWithTypeAliases] from typing import NewType Foo = int Bar = NewType('Bar', Foo) Bar2 = Bar def func1(x: Foo) -> Bar: return Bar(x) def func2(x: int) -> Bar: return Bar(x) def func3(x: Bar2) -> Bar: return x x = Bar(42) y = Bar2(42) y = func3(x) [out] [case testNewTypeWithNewType] from typing import NewType A = NewType('A', int) B = NewType('B', A) C = A D = C E = NewType('E', D) a = A(1) b = B(a) e = E(a) def funca(a: A) -> None: ... def funcb(b: B) -> None: ... funca(a) funca(b) funca(e) funcb(a) # E: Argument 1 to "funcb" has incompatible type "A"; expected "B" funcb(b) funcb(e) # E: Argument 1 to "funcb" has incompatible type "E"; expected "B" [out] -- Make sure NewType works as expected in a variety of different scopes/across files [case testNewTypeInLocalScope] from typing import NewType A = NewType('A', int) a = A(3) def func() -> None: A = NewType('A', str) B = NewType('B', str) a = A(3) # E: Argument 1 to "A@6" has incompatible type "int"; expected "str" a = A('xyz') b = B('xyz') class MyClass: C = NewType('C', float) def foo(self) -> 'MyClass.C': return MyClass.C(3.2) b = A(3) c = MyClass.C(3.5) [out] [case testNewTypeInMultipleFiles] import a import b list1 = [a.UserId(1), a.UserId(2)] list1.append(b.UserId(3)) # E: Argument 1 to "append" of "list" has incompatible type "b.UserId"; expected "a.UserId" [file a.py] from typing import NewType UserId = NewType('UserId', int) [file b.py] from typing import NewType UserId = NewType('UserId', int) [builtins fixtures/list.pyi] [out] [case testNewTypeWithIncremental] import m [file m.py] from typing import NewType UserId = NewType('UserId', int) def name_by_id(user_id: UserId) -> str: return "foo" name_by_id(UserId(42)) id = UserId(5) num = id + 1 [file m.py.2] from typing import NewType UserId = NewType('UserId', int) def name_by_id(user_id: UserId) -> str: return "foo" name_by_id(UserId(42)) id = UserId(5) num = id + 1 reveal_type(id) reveal_type(num) [rechecked m] [stale] [out1] [out2] tmp/m.py:13: note: Revealed type is "m.UserId" tmp/m.py:14: note: Revealed type is "builtins.int" -- Check misuses of NewType fail [case testNewTypeBadInitializationFails] from typing import NewType a = NewType('b', int) # E: String argument 1 "b" to NewType(...) does not match variable name "a" b = NewType('b', 3) # E: Argument 2 to NewType(...) must be a valid type c = NewType(2, int) # E: Argument 1 to NewType(...) must be a string literal d = NewType(b'f', int) # E: Argument 1 to NewType(...) must be a string literal foo = "d" e = NewType(foo, int) # E: Argument 1 to NewType(...) must be a string literal f = NewType(name='e', tp=int) # E: NewType(...) expects exactly two positional arguments g = NewType('f', tp=int) # E: NewType(...) expects exactly two positional arguments [out] [case testNewTypeWithAnyFails] from typing import NewType, Any A = NewType('A', Any) # E: Argument 2 to NewType(...) must be subclassable (got "Any") [out] [case testNewTypeWithUnionsFails] from typing import NewType, Union Foo = NewType('Foo', Union[int, float]) # E: Argument 2 to NewType(...) must be subclassable (got "Union[int, float]") [out] [case testNewTypeWithTypeTypeFails] from typing import NewType, Type Foo = NewType('Foo', Type[int]) # E: Argument 2 to NewType(...) must be subclassable (got "type[int]") a = Foo(type(3)) [builtins fixtures/args.pyi] [out] [case testNewTypeWithTypeVarsFails] from typing import NewType, TypeVar, List T = TypeVar('T') A = NewType('A', T) B = NewType('B', List[T]) [builtins fixtures/list.pyi] [out] main:4: error: Argument 2 to NewType(...) must be subclassable (got T?) main:4: error: Type variable "__main__.T" is unbound main:4: note: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) main:4: note: (Hint: Use "T" in function signature to bind "T" inside a function) main:5: error: Type variable "__main__.T" is unbound main:5: note: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) main:5: note: (Hint: Use "T" in function signature to bind "T" inside a function) [case testNewTypeRedefiningVariablesFails] from typing import NewType a = 3 def f(): a a = NewType('a', int) # E: Cannot redefine "a" as a NewType \ # E: Name "a" already defined on line 4 b = NewType('b', int) def g(): b b = NewType('b', float) # E: Cannot redefine "b" as a NewType \ # E: Name "b" already defined on line 8 c = NewType('c', str) # type: str # E: Cannot declare the type of a NewType declaration [case testNewTypeAddingExplicitTypesFails] from typing import NewType UserId = NewType('UserId', int) a = 3 # type: UserId # E: Incompatible types in assignment (expression has type "int", variable has type "UserId") [out] [case testNewTypeTestSubclassingFails] from typing import NewType class A: pass B = NewType('B', A) class C(B): pass # E: Cannot subclass "NewType" [out] [case testCannotUseNewTypeWithProtocols] from typing import Protocol, NewType class P(Protocol): attr: int = 0 class D: attr: int C = NewType('C', P) # E: NewType cannot be used with protocol classes x: C = C(D()) # We still accept this, treating 'C' as non-protocol subclass. reveal_type(x.attr) # N: Revealed type is "builtins.int" x.bad_attr # E: "C" has no attribute "bad_attr" C(1) # E: Argument 1 to "C" has incompatible type "int"; expected "P" [out] [case testNewTypeAny] from typing import NewType Any = NewType('Any', int) Any(5) [case testNewTypeWithIsInstanceAndIsSubclass] from typing import NewType T = NewType('T', int) d: object if isinstance(d, T): # E: Cannot use isinstance() with NewType type reveal_type(d) # N: Revealed type is "__main__.T" issubclass(object, T) # E: Cannot use issubclass() with NewType type [builtins fixtures/isinstancelist.pyi] [case testInvalidNewTypeCrash] from typing import List, NewType, Union N = NewType('N', XXX) # E: Argument 2 to NewType(...) must be subclassable (got "Any") \ # E: Name "XXX" is not defined x: List[Union[N, int]] [builtins fixtures/list.pyi] [case testTypingExtensionsNewType] from typing_extensions import NewType N = NewType("N", int) x: N [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-optional.test0000644000175100017510000010464015112307767020732 0ustar00runnerrunner-- Tests for strict Optional behavior [case testImplicitNoneType] x = None x() # E: "None" not callable [case testImplicitNoneTypeInNestedFunction] def f() -> None: def g() -> None: x = None x() # E: "None" not callable [case testExplicitNoneType] x = None # type: None x() # E: "None" not callable [case testNoneMemberOfOptional] from typing import Optional x = None # type: Optional[int] [case testTypeMemberOfOptional] from typing import Optional x = 0 # type: Optional[int] [case testNoneNotMemberOfType] x = None # type: int [out] main:1: error: Incompatible types in assignment (expression has type "None", variable has type "int") [case testTypeNotMemberOfNone] x = 0 # type: None [out] main:1: error: Incompatible types in assignment (expression has type "int", variable has type "None") [case testOptionalNotMemberOfType] from typing import Optional def f(a: int) -> None: pass x = None # type: Optional[int] f(x) # E: Argument 1 to "f" has incompatible type "Optional[int]"; expected "int" [case testIsinstanceCases] from typing import Optional x = None # type: Optional[int] if isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "None" [builtins fixtures/isinstance.pyi] [case testIfCases] from typing import Optional x = None # type: Optional[int] if x: reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "Union[Literal[0], None]" [builtins fixtures/bool.pyi] [case testIfNotCases] from typing import Optional x = None # type: Optional[int] if not x: reveal_type(x) # N: Revealed type is "Union[Literal[0], None]" else: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/bool.pyi] [case testIsNotNoneCases] from typing import Optional x = None # type: Optional[int] if x is not None: reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "None" [builtins fixtures/bool.pyi] [case testIsNoneCases] from typing import Optional x = None # type: Optional[int] if x is None: reveal_type(x) # N: Revealed type is "None" else: reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/bool.pyi] [case testAnyCanBeNone] from typing import Optional, Any x = None # type: Any if x is None: reveal_type(x) # N: Revealed type is "None" else: reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/bool.pyi] [case testOrCases] from typing import Optional x = None # type: Optional[str] y1 = x or 'a' reveal_type(y1) # N: Revealed type is "builtins.str" y2 = x or 1 reveal_type(y2) # N: Revealed type is "Union[builtins.str, builtins.int]" z1 = 'a' or x reveal_type(z1) # N: Revealed type is "Union[builtins.str, None]" z2 = int() or x reveal_type(z2) # N: Revealed type is "Union[builtins.int, builtins.str, None]" [case testAndCases] from typing import Optional x = None # type: Optional[str] y1 = x and 'b' reveal_type(y1) # N: Revealed type is "Union[Literal[''], None, builtins.str]" y2 = x and 1 # x could be '', so... reveal_type(y2) # N: Revealed type is "Union[Literal[''], None, builtins.int]" z1 = 'b' and x reveal_type(z1) # N: Revealed type is "Union[builtins.str, None]" z2 = int() and x reveal_type(z2) # N: Revealed type is "Union[Literal[0], builtins.str, None]" [case testLambdaReturningNone] f = lambda: None x = f() reveal_type(x) # N: Revealed type is "None" [case testNoneArgumentType] def f(x: None) -> None: pass f(None) [case testInferOptionalFromDefaultNone] # flags: --implicit-optional def f(x: int = None) -> None: x + 1 # E: Unsupported left operand type for + ("None") \ # N: Left operand is of type "Optional[int]" f(None) [out] [case testNoInferOptionalFromDefaultNone] # flags: --no-implicit-optional def f(x: int = None) -> None: # E: Incompatible default for argument "x" (default has type "None", argument has type "int") \ # N: PEP 484 prohibits implicit Optional. Accordingly, mypy has changed its default to no_implicit_optional=True \ # N: Use https://github.com/hauntsaninja/no_implicit_optional to automatically upgrade your codebase pass [out] [case testInferOptionalFromDefaultNoneComment] # flags: --implicit-optional def f(x=None): # type: (int) -> None x + 1 # E: Unsupported left operand type for + ("None") \ # N: Left operand is of type "Optional[int]" f(None) [out] [case testNoInferOptionalFromDefaultNoneComment] # flags: --no-implicit-optional def f(x=None): # E: Incompatible default for argument "x" (default has type "None", argument has type "int") \ # N: PEP 484 prohibits implicit Optional. Accordingly, mypy has changed its default to no_implicit_optional=True \ # N: Use https://github.com/hauntsaninja/no_implicit_optional to automatically upgrade your codebase # type: (int) -> None pass [out] [case testInferOptionalType] x = None if bool(): # scope limit assignment x = 1 # in scope of the assignment, x is an int reveal_type(x) # N: Revealed type is "builtins.int" # out of scope of the assignment, it's an Optional[int] reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/bool.pyi] [case testInferOptionalTypeLocallyBound] x = None x = 1 reveal_type(x) # N: Revealed type is "builtins.int" [case testInferOptionalAnyType] from typing import Any x = None a = None # type: Any if bool(): x = a reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "Union[Any, None]" [builtins fixtures/bool.pyi] [case testInferOptionalTypeFromOptional] from typing import Optional y = None # type: Optional[int] x = None x = y reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" [case testInferOptionalListType] x = [None] x.append(1) # E: Argument 1 to "append" of "list" has incompatible type "int"; expected "None" [builtins fixtures/list.pyi] [case testInferNonOptionalListType] x = [] x.append(1) x() # E: "list[int]" not callable [builtins fixtures/list.pyi] [case testInferOptionalDictKeyValueTypes] x = {None: None} x["bar"] = 1 [builtins fixtures/dict.pyi] [out] main:2: error: Invalid index type "str" for "dict[None, None]"; expected type "None" main:2: error: Incompatible types in assignment (expression has type "int", target has type "None") [case testInferNonOptionalDictType] x = {} x["bar"] = 1 x() # E: "dict[str, int]" not callable [builtins fixtures/dict.pyi] [case testNoneClassVariable] from typing import Optional class C: x = None # type: int def __init__(self) -> None: self.x = 0 [case testNoneClassVariableInInit] from typing import Optional class C: x = None # type: int def __init__(self) -> None: self.x = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") [out] [case testMultipleAssignmentNoneClassVariableInInit] from typing import Optional class C: x, y = None, None # type: int, str def __init__(self) -> None: self.x = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") self.y = None # E: Incompatible types in assignment (expression has type "None", variable has type "str") [builtins fixtures/tuple.pyi] [out] [case testOverloadWithNone] from foo import * [file foo.pyi] from typing import overload @overload def f(x: None) -> str: pass @overload def f(x: int) -> int: pass reveal_type(f(None)) # N: Revealed type is "builtins.str" reveal_type(f(0)) # N: Revealed type is "builtins.int" [case testOptionalTypeOrTypePlain] from typing import Optional def f(a: Optional[int]) -> int: return a or 0 [out] [case testOptionalTypeOrTypeTypeVar] from typing import Optional, TypeVar T = TypeVar('T') def f(a: Optional[T], b: T) -> T: return a or b [out] [case testOptionalTypeOrTypeBothOptional] from typing import Optional def f(a: Optional[int], b: Optional[int]) -> None: reveal_type(a or b) def g(a: int, b: Optional[int]) -> None: reveal_type(a or b) [out] main:3: note: Revealed type is "Union[builtins.int, None]" main:5: note: Revealed type is "Union[builtins.int, None]" [case testOptionalTypeOrTypeComplexUnion] from typing import Union def f(a: Union[int, str, None]) -> None: reveal_type(a or 'default') [out] main:3: note: Revealed type is "Union[builtins.int, builtins.str]" [case testOptionalTypeOrTypeNoTriggerPlain] from typing import Optional def f(a: Optional[int], b: int) -> int: return b or a [out] main:3: error: Incompatible return value type (got "Optional[int]", expected "int") [case testOptionalTypeOrTypeNoTriggerTypeVar] from typing import Optional, TypeVar T = TypeVar('T') def f(a: Optional[T], b: T) -> T: return b or a [out] main:4: error: Incompatible return value type (got "Optional[T]", expected "T") [case testNoneOrStringIsString] def f() -> str: a = None b = '' return a or b [out] [case testNoneOrTypeVarIsTypeVar] from typing import TypeVar T = TypeVar('T') def f(b: T) -> T: a = None return a or b [out] [case testYieldNothingInFunctionReturningGenerator] from typing import Generator def f() -> Generator[None, None, None]: yield [out] [case testNoneAndStringIsNone] a: None = None b = "foo" reveal_type(a and b) # N: Revealed type is "None" c = None reveal_type(c and b) # N: Revealed type is "None" [case testNoneMatchesObjectInOverload] import a a.f(None) [file a.pyi] from typing import overload @overload def f() -> None: ... @overload def f(o: object) -> None: ... [case testGenericSubclassReturningNone] from typing import Generic, TypeVar T = TypeVar('T') class Base(Generic[T]): def f(self) -> T: pass class SubNone(Base[None]): def f(self) -> None: pass class SubInt(Base[int]): def f(self) -> int: return 1 [case testUseOfNoneReturningFunction] from typing import Optional def f() -> None: pass def g(x: Optional[int]) -> int: pass x = f() # E: "f" does not return a value (it only ever returns None) f() + 1 # E: "f" does not return a value (it only ever returns None) g(f()) # E: "f" does not return a value (it only ever returns None) [case testEmptyReturn] def f() -> None: return [case testReturnNone] def f() -> None: return None [case testNoneCallable] from typing import Callable def f() -> None: pass x = f # type: Callable[[], None] [case testOptionalCallable] from typing import Callable, Optional T = Optional[Callable[..., None]] [case testAnyTypeInPartialTypeList] # flags: --check-untyped-defs def f(): ... def lookup_field(name, obj): try: pass except: attr = f() else: attr = None [case testTernaryWithNone] reveal_type(None if bool() else 0) # N: Revealed type is "Union[None, Literal[0]?]" [builtins fixtures/bool.pyi] [case testListWithNone] reveal_type([0, None, 0]) # N: Revealed type is "builtins.list[Union[builtins.int, None]]" [builtins fixtures/list.pyi] [case testNoneContextInference] from typing import Dict, List def f() -> List[None]: return [] def g() -> Dict[None, None]: return {} [builtins fixtures/dict.pyi] [case testRaiseFromNone] raise BaseException from None [builtins fixtures/exception.pyi] [case testOptionalNonPartialTypeWithNone] from typing import Generator def f() -> Generator[str, None, None]: pass x = f() reveal_type(x) # N: Revealed type is "typing.Generator[builtins.str, None, None]" l = [f()] reveal_type(l) # N: Revealed type is "builtins.list[typing.Generator[builtins.str, None, None]]" [builtins fixtures/list.pyi] [case testNoneListTernary] x = [None] if "" else [1] # E: List item 0 has incompatible type "int"; expected "None" [builtins fixtures/list.pyi] [case testListIncompatibleErrorMessage] from typing import List, Callable def foo(l: List[Callable[[], str]]) -> None: pass def f() -> int: return 42 foo([f]) # E: List item 0 has incompatible type "Callable[[], int]"; expected "Callable[[], str]" [builtins fixtures/list.pyi] [case testInferEqualsNotOptional] from typing import Optional x = '' # type: Optional[str] if x == '': reveal_type(x) # N: Revealed type is "builtins.str" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" if x is '': reveal_type(x) # N: Revealed type is "builtins.str" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" [builtins fixtures/ops.pyi] [case testInferEqualsNotOptionalWithUnion] from typing import Union x = '' # type: Union[str, int, None] if x == '': reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int, None]" if x is '': reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int, None]" [builtins fixtures/ops.pyi] [case testInferEqualsNotOptionalWithOverlap] from typing import Union x = '' # type: Union[str, int, None] if x == object(): reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int, None]" if x is object(): reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int, None]" [builtins fixtures/ops.pyi] [case testInferEqualsStillOptionalWithNoOverlap] from typing import Optional x = '' # type: Optional[str] if x == 0: reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" if x is 0: reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" [builtins fixtures/ops.pyi] [case testInferEqualsStillOptionalWithBothOptional] from typing import Union x = '' # type: Union[str, int, None] y = '' # type: Union[str, None] if x == y: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int, None]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int, None]" if x is y: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int, None]" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int, None]" [builtins fixtures/ops.pyi] [case testInferEqualsNotOptionalWithMultipleArgs] from typing import Optional x: Optional[int] y: Optional[int] if x == y == 1: reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" class A: pass a: Optional[A] b: Optional[A] if a == b == object(): reveal_type(a) # N: Revealed type is "__main__.A" reveal_type(b) # N: Revealed type is "__main__.A" else: reveal_type(a) # N: Revealed type is "Union[__main__.A, None]" reveal_type(b) # N: Revealed type is "Union[__main__.A, None]" [builtins fixtures/ops.pyi] [case testInferInWithErasedTypes] from typing import TypeVar, Callable T = TypeVar('T') def foo(f: Callable[[T], bool], it: T) -> None: ... foo(lambda x: x in [1, 2] and bool(), 3) [builtins fixtures/list.pyi] [case testWarnNoReturnWorksWithStrictOptional] # flags: --warn-no-return def f() -> None: 1 + 1 # no error def g() -> int: 1 + 1 # [out] main:5: error: Missing return statement [case testGenericTypeAliasesOptional] from typing import TypeVar, Generic, Optional T = TypeVar('T') class Node(Generic[T]): def __init__(self, x: T) -> None: self.x = x ONode = Optional[Node[T]] def f(x: T) -> ONode[T]: if 1 > 0: return Node(x) else: return None x = None # type: ONode[int] if int(): x = f(1) if int(): x = f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" x.x = 1 # E: Item "None" of "Optional[Node[int]]" has no attribute "x" if x is not None: x.x = 1 # OK here [builtins fixtures/ops.pyi] [case testOptionalTypeNarrowedInBooleanStatement] from typing import Optional x: Optional[int] = None x is not None and x + 42 x is not None and x + '42' # E: Unsupported operand types for + ("int" and "str") [builtins fixtures/isinstance.pyi] [case testInvalidBooleanBranchIgnored] from typing import Optional x: None = None x is not None and x + 42 [builtins fixtures/isinstance.pyi] [case testOptionalLambdaInference] from typing import Optional, Callable f = None # type: Optional[Callable[[int], None]] f = lambda x: None f(0) [builtins fixtures/function.pyi] [case testDontSimplifyNoneUnionsWithStrictOptional] from typing import Any, TypeVar, Union A = None # type: Any class C(A): pass T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass a = None # type: Any # Test both orders reveal_type(u(C(), None)) # N: Revealed type is "Union[None, __main__.C]" reveal_type(u(None, C())) # N: Revealed type is "Union[__main__.C, None]" reveal_type(u(a, None)) # N: Revealed type is "Union[None, Any]" reveal_type(u(None, a)) # N: Revealed type is "Union[Any, None]" reveal_type(u(1, None)) # N: Revealed type is "Union[None, builtins.int]" reveal_type(u(None, 1)) # N: Revealed type is "Union[builtins.int, None]" [case testOptionalAndAnyBaseClass] from typing import Any, Optional A = None # type: Any class C(A): pass x = None # type: Optional[C] x.foo() # E: Item "None" of "Optional[C]" has no attribute "foo" [case testIsinstanceAndOptionalAndAnyBase] from typing import Any, Optional B = None # type: Any class A(B): pass def f(a: Optional[A]): reveal_type(a) # N: Revealed type is "Union[__main__.A, None]" if a is not None: reveal_type(a) # N: Revealed type is "__main__.A" else: reveal_type(a) # N: Revealed type is "None" reveal_type(a) # N: Revealed type is "Union[__main__.A, None]" [builtins fixtures/isinstance.pyi] [case testFlattenOptionalUnion] from typing import Optional, Union x: Optional[Union[int, str]] reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" y: Optional[Union[int, None]] reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" [case testOverloadWithNoneAndOptional] from typing import overload, Optional @overload def f(x: int) -> str: ... @overload def f(x: Optional[int]) -> Optional[str]: ... def f(x): return x reveal_type(f(1)) # N: Revealed type is "builtins.str" reveal_type(f(None)) # N: Revealed type is "Union[builtins.str, None]" x: Optional[int] reveal_type(f(x)) # N: Revealed type is "Union[builtins.str, None]" [case testUnionTruthinessTracking] from typing import Optional, Any def test_or_shortcut(value: Optional[Any]) -> None: if not value: pass if not value or value.get('foo') == 'hello': pass [builtins fixtures/bool.pyi] [case testNarrowingFromObjectToOptional] from typing import Optional x: object y: Optional[int] x = y reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" [out] [case testNarrowOptionalOutsideLambda] from typing import Optional class A: a: int def f(x: Optional[A]) -> None: assert x lambda: x.a [builtins fixtures/isinstancelist.pyi] [case testNarrowOptionalOutsideLambdaWithDeferred] from typing import Optional class A: a: int def f(self, x: Optional['A']) -> None: assert x lambda: (self.y, x.a) # E: Cannot determine type of "y" self.y = int() [builtins fixtures/isinstancelist.pyi] [case testDeferredAndOptionalInferenceSpecialCase] def f() -> str: y x = None if int(): x = '' if x is None: x = '' g(x) return x def g(x: str) -> None: pass y = int() [builtins fixtures/bool.pyi] [case testOptionalAssignAny1] from typing import Optional def f(): return 0 def g(x: Optional[int]) -> int: if x is None: reveal_type(x) # N: Revealed type is "None" # As a special case for Unions containing None, during x = f() reveal_type(x) # N: Revealed type is "Union[builtins.int, Any]" reveal_type(x) # N: Revealed type is "Union[builtins.int, Any]" return x [builtins fixtures/bool.pyi] [case testOptionalAssignAny2] from typing import Optional def f(): return 0 def g(x: Optional[int]) -> int: if x is None: reveal_type(x) # N: Revealed type is "None" x = 1 reveal_type(x) # N: Revealed type is "builtins.int" # Same as above, even after we've assigned to x x = f() reveal_type(x) # N: Revealed type is "Union[builtins.int, Any]" reveal_type(x) # N: Revealed type is "Union[builtins.int, Any]" return x [builtins fixtures/bool.pyi] [case testOptionalAssignAny3] from typing import Optional def f(): return 0 def g(x: Optional[int]) -> int: if x is not None: return x reveal_type(x) # N: Revealed type is "None" x = f() reveal_type(x) # N: Revealed type is "Union[builtins.int, Any]" return x [builtins fixtures/bool.pyi] [case testStrictOptionalCovarianceCrossModule] # flags: --config-file tmp/mypy.ini from a import asdf x = ["lol"] asdf(x) [file a.py] from typing import List, Optional def asdf(x: List[Optional[str]]) -> None: pass x = ["lol"] asdf(x) [file mypy.ini] \[mypy] \[mypy-a] strict_optional = False [out] main:4: error: Argument 1 to "asdf" has incompatible type "list[str]"; expected "list[Optional[str]]" main:4: note: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance main:4: note: Consider using "Sequence" instead, which is covariant [builtins fixtures/list.pyi] [case testOptionalBackwards1] from typing import Any, Optional def f1(b: bool) -> Optional[int]: if b: z = 10 reveal_type(z) # N: Revealed type is "builtins.int" else: z = None reveal_type(z) # N: Revealed type is "None" reveal_type(z) # N: Revealed type is "Union[builtins.int, None]" return z def f2(b: bool) -> int: if b: z = 10 else: z = None return z # E: Incompatible return value type (got "Optional[int]", expected "int") def f3(b: bool) -> int: # XXX: This one is a little questionable! Maybe we *do* want to allow this? z = 10 if b: z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") return z def f4() -> Optional[int]: z = 10 z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") return z def f5() -> None: z = 10 def f() -> None: nonlocal z z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") def f6(b: bool) -> None: if b: z = 10 else: z = 11 def f() -> None: nonlocal z z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") def f7(b: bool) -> None: if b: z = 10 else: z = 11 z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") def f8(b: bool, c: bool) -> Optional[int]: if b: if c: z = 10 else: z = 11 else: z = None return z def f9(b: bool) -> None: if b: z: int = 10 else: z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") def f10(b: bool) -> None: z: int if b: z = 10 else: z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") def f11(b: bool, c: bool) -> None: if b: z = 10 elif c: z = 30 else: z = None def f12(b: bool, a: Any) -> None: if b: z = a else: z = None reveal_type(z) # N: Revealed type is "Any" def f13(b: bool, a: Any) -> None: if b: try: z = f2(True) except Exception: raise RuntimeError else: z = None def f14(b: bool, a: Any) -> None: if b: with a: z = 10 else: z = None def f15() -> None: try: z = f2(True) except Exception: z = None reveal_type(z) # N: Revealed type is "Union[builtins.int, None]" def f16(z: Any) -> None: for x in z: if x == 0: y = 50 break else: y = None reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" def f17(b: bool, c: bool, d: bool) -> None: if b: z = 2 elif c: z = None elif d: z = 3 reveal_type(z) # N: Revealed type is "Union[builtins.int, None]" def f18(b: bool, c: bool, d: bool) -> None: if b: z = 4 else: if c: z = 5 else: z = None reveal_type(z) # N: Revealed type is "Union[builtins.int, None]" def f19(b: bool, c: bool, d: bool) -> None: if b: z = 5 else: z = None if c: z = 6 reveal_type(z) # N: Revealed type is "Union[builtins.int, None]" def f20(b: bool) -> None: if b: x: Any = 5 else: x = None reveal_type(x) # N: Revealed type is "Any" def f_unannot(): pass def f21(b: bool) -> None: if b: x = f_unannot() else: x = None reveal_type(x) # N: Revealed type is "Any" def f22(b: bool) -> None: if b: z = 10 if not b: z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") def f23(b: bool) -> None: if b: z = 10 if b: z = 11 else: z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") [builtins fixtures/exception.pyi] [case testOptionalBackwards2] def f1(b: bool) -> None: if b: x = [] # E: Need type annotation for "x" (hint: "x: list[] = ...") else: x = None def f2(b: bool) -> None: if b: x = [] x.append(1) else: x = None reveal_type(x) # N: Revealed type is "Union[builtins.list[builtins.int], None]" [builtins fixtures/list.pyi] [case testOptionalBackwards3] # We don't allow this sort of updating for globals or attributes currently. gb: bool if gb: Z = 10 else: Z = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") class Foo: def __init__(self, b: bool) -> None: if b: self.x = 5 else: self.x = None # E: Incompatible types in assignment (expression has type "None", variable has type "int") def foo(self) -> None: reveal_type(self.x) # N: Revealed type is "builtins.int" [case testOptionalBackwards4] from typing import Any, Optional def f1(b: bool) -> Optional[int]: if b: z = 10 reveal_type(z) # N: Revealed type is "builtins.int" else: # Force the node to get deferred between the two assignments Defer().defer z = None reveal_type(z) # N: Revealed type is "None" reveal_type(z) # N: Revealed type is "Union[builtins.int, None]" return z class Defer: def __init__(self) -> None: self.defer = 10 [case testOptionalIterator] # mypy: no-strict-optional from typing import Optional, List x: Optional[List[int]] if 3 in x: pass [case testNarrowedVariableInNestedFunctionBasic] from typing import Optional def can_narrow(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return reveal_type(x) # N: Revealed type is "builtins.str" nested() def foo(a): pass class C: def can_narrow_in_method(self, x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return reveal_type(x) # N: Revealed type is "builtins.str" # Reading the variable is fine y = x with foo(x): foo(x) for a in foo(x): foo(x) nested() def can_narrow_lambda(x: Optional[str]) -> None: if x is None: x = "a" nested = lambda: x reveal_type(nested()) # N: Revealed type is "builtins.str" def cannot_narrow_if_reassigned(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") if int(): x = None nested() x: Optional[str] = "x" def narrow_global_in_func() -> None: global x if x is None: x = "a" def nested() -> str: # This should perhaps not be narrowed, since the nested function could outlive # the outer function, and since other functions could also assign to x, but # this seems like a minor issue. return x nested() x = "y" def narrowing_global_at_top_level_not_propagated() -> str: def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") return x # E: Incompatible return value type (got "Optional[str]", expected "str") [case testNarrowedVariableInNestedFunctionMore1] from typing import Optional, overload class C: a: Optional[str] def attribute_narrowing(c: C) -> None: # This case is not supported, since we can't keep track of assignments to attributes. c.a = "x" def nested() -> str: return c.a # E: Incompatible return value type (got "Optional[str]", expected "str") nested() def assignment_in_for(x: Optional[str]) -> None: if x is None: x = "e" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") for x in ["x"]: pass def foo(): pass def assignment_in_with(x: Optional[str]) -> None: if x is None: x = "e" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") with foo() as x: pass g: Optional[str] def assign_to_global() -> None: global g g = "x" # This is unsafe, but we don't generate an error, for convenience. Besides, # this is probably a very rare case. def nested() -> str: return g def assign_to_nonlocal(x: Optional[str]) -> None: def nested() -> str: nonlocal x if x is None: x = "a" def nested2() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") return nested2() nested() x = None def dec(f): return f @dec def decorated_outer(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x nested() @dec def decorated_outer_bad(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") x = None nested() def decorated_inner(x: Optional[str]) -> None: if x is None: x = "a" @dec def nested() -> str: return x nested() def decorated_inner_bad(x: Optional[str]) -> None: if x is None: x = "a" @dec def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") x = None nested() @overload def overloaded_outer(x: None) -> None: ... @overload def overloaded_outer(x: str) -> None: ... def overloaded_outer(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x nested() @overload def overloaded_outer_bad(x: None) -> None: ... @overload def overloaded_outer_bad(x: str) -> None: ... def overloaded_outer_bad(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") x = None nested() [case testNarrowedVariableInNestedFunctionMore2] from typing import Optional def narrow_multiple(x: Optional[str], y: Optional[int]) -> None: z: Optional[str] = x if x is None: x = "" if y is None: y = 1 if int(): if z is None: z = "" def nested() -> None: a: str = x b: int = y c: str = z nested() def narrow_multiple_partial(x: Optional[str], y: Optional[int]) -> None: z: Optional[str] = x if x is None: x = "" if isinstance(y, int): if z is None: z = "" def nested() -> None: a: str = x b: int = y c: str = z # E: Incompatible types in assignment (expression has type "Optional[str]", variable has type "str") z = None nested() def multiple_nested_functions(x: Optional[str], y: Optional[str]) -> None: if x is None: x = "" def nested1() -> str: return x if y is None: y = "" def nested2() -> str: a: str = y return x class C: a: str def __setitem__(self, key, value): pass def narrowed_variable_used_in_lvalue_but_not_assigned(c: Optional[C]) -> None: if c is None: c = C() def nested() -> C: return c c.a = "x" c[1] = 2 cc = C() cc[c] = 3 nested() def narrow_with_multi_lvalues_1(x: Optional[str]) -> None: if x is None: x = "" def nested() -> str: return x y = z = None def narrow_with_multi_lvalue_2(x: Optional[str]) -> None: if x is None: x = "" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") x = y = None def narrow_with_multi_lvalue_3(x: Optional[str]) -> None: if x is None: x = "" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") y = x = None def narrow_with_multi_assign_1(x: Optional[str]) -> None: if x is None: x = "" def nested() -> str: return x y, z = None, None def narrow_with_multi_assign_2(x: Optional[str]) -> None: if x is None: x = "" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") x, y = None, None def narrow_with_multi_assign_3(x: Optional[str]) -> None: if x is None: x = "" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") y, x = None, None [builtins fixtures/isinstance.pyi] [case testNestedFunctionSpecialCase] class C: def __enter__(self, *args): ... def __exit__(self, *args) -> bool: ... def f(x: object) -> None: if x is not None: pass def nested() -> None: with C(): pass [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-overloading.test0000644000175100017510000055133715112307767021427 0ustar00runnerrunner-- Test cases for function overloading [case testOverloadNotImportedNoCrash] @overload def f(a): pass @overload def f(a): pass def f(a): pass f(0) @overload # E: Name "overload" is not defined def g(a:int): pass def g(a): pass # E: Name "g" already defined on line 9 g(0) @something # E: Name "something" is not defined def r(a:int): pass def r(a): pass # E: Name "r" already defined on line 14 r(0) [out] main:2: error: Name "overload" is not defined main:4: error: Name "f" already defined on line 2 main:4: error: Name "overload" is not defined main:6: error: Name "f" already defined on line 2 [case testTypeCheckOverloadWithImplementation] from typing import overload, Any class A: pass class B: pass @overload def f(x: 'A') -> 'B': ... @overload def f(x: 'B') -> 'A': ... def f(x: Any) -> Any: pass reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testTypingExtensionsOverload] from typing import Any from typing_extensions import overload class A: pass class B: pass @overload def f(x: 'A') -> 'B': ... @overload def f(x: 'B') -> 'A': ... def f(x: Any) -> Any: pass reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testOverloadNeedsImplementation] from typing import overload, Any class A: pass class B: pass @overload # E: An overloaded function outside a stub file must have an implementation def f(x: 'A') -> 'B': ... @overload def f(x: 'B') -> 'A': ... reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testSingleOverloadNoImplementation] from typing import overload, Any @overload # E: Single overload definition, multiple required def f(x: 'A') -> 'B': ... class A: pass class B: pass [builtins fixtures/isinstance.pyi] [case testOverloadByAnyOtherName] from typing import overload as rose from typing import Any class A: pass class B: pass @rose def f(x: 'A') -> 'B': ... @rose def f(x: 'B') -> 'A': ... def f(x: Any) -> Any: pass reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testTypeCheckOverloadWithDecoratedImplementation] from typing import overload, Any class A: pass class B: pass def deco(fun): ... @overload def f(x: 'A') -> 'B': ... @overload def f(x: 'B') -> 'A': ... @deco def f(x: Any) -> Any: pass reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testOverloadDecoratedImplementationNotLast] from typing import overload, Any def deco(fun): ... @overload def f(x: 'A') -> 'B': ... @deco # E: The implementation for an overloaded function must come last def f(x: Any) -> Any: pass @overload def f(x: 'B') -> 'A': ... class A: pass class B: pass [builtins fixtures/isinstance.pyi] [case testOverloadImplementationNotLast] from typing import overload, Any @overload def f(x: 'A') -> 'B': ... def f(x: Any) -> Any: # E: The implementation for an overloaded function must come last pass @overload def f(x: 'B') -> 'A': ... class A: pass class B: pass [builtins fixtures/isinstance.pyi] [case testDecoratedRedefinitionIsNotOverload] from typing import overload, Any def deco(fun): ... @deco def f(x: 'A') -> 'B': ... @deco # E: Name "f" already defined on line 5 def f(x: 'B') -> 'A': ... @deco # E: Name "f" already defined on line 5 def f(x: Any) -> Any: ... class A: pass class B: pass [builtins fixtures/isinstance.pyi] [case testTypeCheckOverloadWithImplementationError] from typing import overload, Any class A: pass class B: pass @overload def f(x: 'A') -> 'B': ... @overload def f(x: 'B') -> 'A': ... def f(x: Any) -> Any: foo = 1 if int(): foo = "bar" # E: Incompatible types in assignment (expression has type "str", variable has type "int") @overload def g(x: 'A') -> 'B': ... @overload def g(x: 'B') -> 'A': ... def g(x): foo = 1 if int(): foo = "bar" reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testTypeCheckOverloadWithUntypedImplAndMultipleVariants] from typing import overload @overload def f(x: int) -> str: ... @overload def f(x: str) -> int: ... # E: Overloaded function signatures 2 and 3 overlap with incompatible return types @overload def f(x: object) -> str: ... def f(x): ... [case testTypeCheckOverloadWithImplTooSpecificArg] from typing import overload, Any class A: pass class B: pass a = A() @overload def f(x: 'A') -> 'B': ... @overload def f(x: 'B') -> 'A': ... def f(x: 'A') -> Any: # E: Overloaded function implementation does not accept all possible arguments of signature 2 pass reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testTypeCheckOverloadImplOverlapVarArgsAndKwargs] from __future__ import annotations from typing import overload @overload def foo(x: int) -> None: ... @overload def foo(a: str, /) -> None: ... def foo(*args: int | str, **kw: int) -> None: pass [builtins fixtures/tuple.pyi] [case testTypeCheckOverloadImplOverlapVarArgsAndKwargsUnion] from __future__ import annotations from typing import overload class Foo: ... @overload def foo(x: int) -> None: ... @overload def foo(*, x: Foo) -> None: ... @overload def foo(a: str, /) -> None: ... def foo(*args: int | str, **kw: int | Foo) -> None: pass [builtins fixtures/tuple.pyi] [case testTypeCheckOverloadWithImplTooSpecificRetType] from typing import overload, Any class A: pass class B: pass a = A() @overload def f(x: 'A') -> 'B': ... @overload def f(x: 'B') -> 'A': ... def f(x: Any) -> 'B': # E: Overloaded function implementation cannot produce return type of signature 2 return B() reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.A" [builtins fixtures/isinstance.pyi] [case testTypeCheckOverloadWithImplTypeVar] from typing import overload, Any, TypeVar T = TypeVar('T') class A: pass class B: pass a = A() @overload def f(x: 'A') -> 'A': ... @overload def f(x: 'B') -> 'B': ... def f(x: T) -> T: ... reveal_type(f(A())) # N: Revealed type is "__main__.A" reveal_type(f(B())) # N: Revealed type is "__main__.B" [builtins fixtures/isinstance.pyi] [case testTypeCheckOverloadWithImplTypeVarProblems] from typing import overload, Any, TypeVar, Union T = TypeVar('T', bound='A') class A: pass class B: pass a = A() @overload def f(x: 'A') -> 'A': ... @overload def f(x: 'B') -> 'B': ... def f(x: Union[T, B]) -> T: # E: Overloaded function implementation cannot satisfy signature 2 due to inconsistencies in how they use type variables ... reveal_type(f(A())) # N: Revealed type is "__main__.A" reveal_type(f(B())) # N: Revealed type is "__main__.B" [builtins fixtures/isinstance.pyi] [case testTypeCheckOverloadImplementationTypeVarWithValueRestriction] from typing import overload, TypeVar, Union class A: pass class B: pass class C: pass T = TypeVar('T', A, B) @overload def foo(x: T) -> T: ... @overload def foo(x: C) -> int: ... def foo(x: Union[A, B, C]) -> Union[A, B, int]: if isinstance(x, C): return 3 else: return x @overload def bar(x: T) -> T: ... @overload def bar(x: C) -> int: ... def bar(x: Union[T, C]) -> Union[T, int]: if isinstance(x, C): return 3 else: return x [builtins fixtures/isinstancelist.pyi] [case testTypeCheckOverloadImplementationTypeVarDifferingUsage1] from typing import overload, Union, List, TypeVar, Generic T = TypeVar('T') @overload def foo(t: List[T]) -> T: ... @overload def foo(t: T) -> T: ... def foo(t: Union[List[T], T]) -> T: if isinstance(t, list): return t[0] else: return t class Wrapper(Generic[T]): @overload def foo(self, t: List[T]) -> T: ... @overload def foo(self, t: T) -> T: ... def foo(self, t: Union[List[T], T]) -> T: if isinstance(t, list): return t[0] else: return t [builtins fixtures/isinstancelist.pyi] [case testTypeCheckOverloadImplementationTypeVarDifferingUsage2] from typing import overload, Union, List, TypeVar, Generic T = TypeVar('T') # Note: this is unsafe when T = object @overload def foo(t: List[T], s: T) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def foo(t: T, s: T) -> str: ... def foo(t, s): pass class Wrapper(Generic[T]): @overload def foo(self, t: List[T], s: T) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types \ # N: Flipping the order of overloads will fix this error @overload def foo(self, t: T, s: T) -> str: ... def foo(self, t, s): pass class Dummy(Generic[T]): pass # Same root issue: why does the additional constraint bound T <: T # cause the constraint solver to not infer T = object like it did in the # first example? @overload def bar(d: Dummy[T], t: List[T], s: T) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types \ # N: Flipping the order of overloads will fix this error @overload def bar(d: Dummy[T], t: T, s: T) -> str: ... def bar(d: Dummy[T], t, s): pass [builtins fixtures/isinstancelist.pyi] [case testTypeCheckOverloadedFunctionBody] from foo import * [file foo.pyi] from typing import overload @overload def f(x: 'A'): if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") x = A() @overload def f(x: 'B'): if int(): x = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") x = B() class A: pass class B: pass [out] [case testTypeCheckOverloadedMethodBody] from foo import * [file foo.pyi] from typing import overload class A: @overload def f(self, x: 'A'): if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") x = A() @overload def f(self, x: 'B'): if int(): x = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") x = B() class B: pass [out] [case testCallToOverloadedFunction] from foo import * [file foo.pyi] from typing import overload f(C()) # E: No overload variant of "f" matches argument type "C" \ # N: Possible overload variants: \ # N: def f(x: A) -> None \ # N: def f(x: B) -> None f(A()) f(B()) @overload def f(x: 'A') -> None: pass @overload def f(x: 'B') -> None: pass class A: pass class B: pass class C: pass [case testOverloadedFunctionReturnValue] from foo import * [file foo.pyi] from typing import overload a: A b: B if int(): b = f(a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = f(b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = f(a) if int(): b = f(b) @overload def f(x: 'A') -> 'A': pass @overload def f(x: 'B') -> 'B': pass class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testCallToOverloadedMethod] from foo import * [file foo.pyi] from typing import overload A().f(C()) # E: No overload variant of "f" of "A" matches argument type "C" \ # N: Possible overload variants: \ # N: def f(self, x: A) -> None \ # N: def f(self, x: B) -> None A().f(A()) A().f(B()) class A: @overload def f(self, x: 'A') -> None: pass @overload def f(self, x: 'B') -> None: pass class B: pass class C: pass [case testOverloadedMethodReturnValue] from foo import * [file foo.pyi] from typing import overload a: A b: B if int(): b = a.f(a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = a.f(b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = a.f(a) if int(): b = a.f(b) class A: @overload def f(self, x: 'A') -> 'A': pass @overload def f(self, x: 'B') -> 'B': pass class B: pass [builtins fixtures/tuple.pyi] [case testOverloadsWithDifferentArgumentCounts] from foo import * [file foo.pyi] from typing import overload a: A b: B if int(): a = f(a) if int(): b = f(a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") f(b) # E: No overload variant of "f" matches argument type "B" \ # N: Possible overload variants: \ # N: def f(x: A) -> A \ # N: def f(x: B, y: A) -> B if int(): b = f(b, a) if int(): a = f(b, a) # E: Incompatible types in assignment (expression has type "B", variable has type "A") f(a, a) # E: No overload variant of "f" matches argument types "A", "A" \ # N: Possible overload variants: \ # N: def f(x: A) -> A \ # N: def f(x: B, y: A) -> B f(b, b) # E: No overload variant of "f" matches argument types "B", "B" \ # N: Possible overload variants: \ # N: def f(x: A) -> A \ # N: def f(x: B, y: A) -> B @overload def f(x: 'A') -> 'A': pass @overload def f(x: 'B', y: 'A') -> 'B': pass class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testGenericOverloadVariant] from foo import * [file foo.pyi] from typing import overload, TypeVar, Generic t = TypeVar('t') ab: A[B] ac: A[C] b: B c: C if int(): b = f(ab) c = f(ac) b = f(ac) # E: Incompatible types in assignment (expression has type "C", variable has type "B") b = f(b) c = f(b) # E: Incompatible types in assignment (expression has type "B", variable has type "C") @overload def f(x: 'A[t]') -> t: pass @overload def f(x: 'B') -> 'B': pass class A(Generic[t]): pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testOverloadedInit] from foo import * [file foo.pyi] from typing import overload a: A b: B a = A(a) a = A(b) a = A(object()) # E: No overload variant of "A" matches argument type "object" \ # N: Possible overload variants: \ # N: def __init__(self, a: A) -> A \ # N: def __init__(self, b: B) -> A class A: @overload def __init__(self, a: 'A') -> None: pass @overload def __init__(self, b: 'B') -> None: pass class B: pass [builtins fixtures/tuple.pyi] [case testIntersectionTypeCompatibility] from foo import * [file foo.pyi] from typing import overload, Callable o: object a: A if int(): a = f # E: Incompatible types in assignment (expression has type overloaded function, variable has type "A") if int(): o = f @overload def f(a: 'A') -> None: pass @overload def f(a: Callable[[], None]) -> None: pass class A: pass [case testCompatibilityOfIntersectionTypeObjectWithStdType] from foo import * [file foo.pyi] from typing import overload t: type a: A if int(): a = A # E: Incompatible types in assignment (expression has type "type[A]", variable has type "A") t = A class A: @overload def __init__(self, a: 'A') -> None: pass @overload def __init__(self, a: 'B') -> None: pass class B: pass [builtins fixtures/tuple.pyi] [case testOverloadedGetitem] from foo import * [file foo.pyi] from typing import overload a: int b: str if int(): a = A()[a] if int(): b = A()[a] # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): b = A()[b] if int(): a = A()[b] # E: Incompatible types in assignment (expression has type "str", variable has type "int") class A: @overload def __getitem__(self, a: int) -> int: pass @overload def __getitem__(self, b: str) -> str: pass [builtins fixtures/tuple.pyi] [case testOverloadedGetitemWithGenerics] from foo import * [file foo.pyi] from typing import TypeVar, Generic, overload t = TypeVar('t') a: A b: B c: C[A] if int(): a = c[a] b = c[a] # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = c[b] b = c[b] # E: Incompatible types in assignment (expression has type "A", variable has type "B") class C(Generic[t]): @overload def __getitem__(self, a: 'A') -> t: pass @overload def __getitem__(self, b: 'B') -> t: pass class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testImplementingOverloadedMethod] from foo import * [file foo.pyi] from typing import overload from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): @overload @abstractmethod def f(self) -> None: pass @overload @abstractmethod def f(self, a: 'A') -> None: pass class A(I): @overload def f(self) -> None: pass @overload def f(self, a: 'A') -> None: pass [case testOverloadWithFunctionType] from foo import * [file foo.pyi] from typing import overload, Callable class A: pass @overload def f(x: A) -> None: pass @overload def f(x: Callable[[], None]) -> None: pass f(A()) [builtins fixtures/function.pyi] [case testVarArgsOverload] from foo import * [file foo.pyi] from typing import overload, Any @overload def f(x: 'A', *more: Any) -> 'A': pass @overload def f(x: 'B', *more: Any) -> 'A': pass f(A()) f(A(), A, A) f(B()) f(B(), B) f(B(), B, B) f(object()) # E: No overload variant of "f" matches argument type "object" \ # N: Possible overload variants: \ # N: def f(x: A, *more: Any) -> A \ # N: def f(x: B, *more: Any) -> A class A: pass class B: pass [builtins fixtures/list.pyi] [case testVarArgsOverload2] from foo import * [file foo.pyi] from typing import overload @overload def f(x: 'A', *more: 'B') -> 'A': pass @overload def f(x: 'B', *more: 'A') -> 'A': pass f(A(), B()) f(A(), B(), B()) f(A(), A(), B()) # E: No overload variant of "f" matches argument types "A", "A", "B" \ # N: Possible overload variants: \ # N: def f(x: A, *more: B) -> A \ # N: def f(x: B, *more: A) -> A f(A(), B(), A()) # E: No overload variant of "f" matches argument types "A", "B", "A" \ # N: Possible overload variants: \ # N: def f(x: A, *more: B) -> A \ # N: def f(x: B, *more: A) -> A class A: pass class B: pass [builtins fixtures/list.pyi] [case testOverloadWithTypeObject] from foo import * [file foo.pyi] from typing import overload @overload def f(a: 'A', t: type) -> None: pass @overload def f(a: 'B', t: type) -> None: pass f(A(), B) f(B(), A) class A: pass class B: pass [builtins fixtures/function.pyi] [case testOverloadedInitAndTypeObjectInOverload] from foo import * [file foo.pyi] from typing import overload @overload def f(t: type) -> 'A': pass @overload def f(t: 'A') -> 'B': pass a: A b: B if int(): a = f(A) if int(): b = f(a) if int(): b = f(A) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = f(a) # E: Incompatible types in assignment (expression has type "B", variable has type "A") class A: @overload def __init__(self) -> None: pass @overload def __init__(self, a: 'A') -> None: pass class B: pass [builtins fixtures/tuple.pyi] [case testOverlappingErasedSignatures] from foo import * [file foo.pyi] from typing import overload, List @overload def f(a: List[int]) -> int: pass @overload def f(a: List[str]) -> int: pass list_int = [] # type: List[int] list_str = [] # type: List[str] list_object = [] # type: List[object] n = f(list_int) m = f(list_str) def p(): n, m # Prevent redefinition n = 1 m = 1 n = 'x' # E: Incompatible types in assignment (expression has type "str", variable has type "int") m = 'x' # E: Incompatible types in assignment (expression has type "str", variable has type "int") f(list_object) # E: Argument 1 to "f" has incompatible type "list[object]"; expected "list[int]" [builtins fixtures/list.pyi] [case testOverlappingOverloadSignatures] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass @overload def f(x: B) -> int: pass # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: A) -> str: pass [case testContravariantOverlappingOverloadSignatures] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass @overload def f(x: A) -> A: pass @overload def f(x: B) -> B: pass # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader [case testPartiallyCovariantOverlappingOverloadSignatures] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass @overload def f(x: B) -> A: pass # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: A) -> B: pass [case testPartiallyContravariantOverloadSignatures] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass @overload def g(x: A) -> int: pass @overload def g(x: B) -> str: pass # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader [case testCovariantOverlappingOverloadSignatures] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass @overload def g(x: B) -> B: pass @overload def g(x: A) -> A: pass [case testCovariantOverlappingOverloadSignaturesWithSomeSameArgTypes] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass @overload def g(x: int, y: B) -> B: pass @overload def g(x: int, y: A) -> A: pass [case testCovariantOverlappingOverloadSignaturesWithAnyType] from foo import * [file foo.pyi] from typing import Any, overload @overload def g(x: int) -> int: pass @overload def g(x: Any) -> Any: pass [case testContravariantOverlappingOverloadSignaturesWithAnyType] from foo import * [file foo.pyi] from typing import Any, overload @overload def g(x: Any) -> Any: pass @overload def g(x: int) -> int: pass # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader [case testOverloadedLtAndGtMethods] from foo import * [file foo.pyi] from typing import overload class A: def __lt__(self, x: A) -> int: pass def __gt__(self, x: A) -> int: pass class B: @overload def __lt__(self, x: B) -> int: pass @overload def __lt__(self, x: A) -> int: pass @overload def __gt__(self, x: B) -> int: pass @overload def __gt__(self, x: A) -> int: pass A() < A() A() < B() B() < A() B() < B() A() < object() # E: Unsupported operand types for < ("A" and "object") B() < object() # E: No overload variant of "__lt__" of "B" matches argument type "object" \ # N: Possible overload variants: \ # N: def __lt__(self, B, /) -> int \ # N: def __lt__(self, A, /) -> int [case testOverloadedForwardMethodAndCallingReverseMethod] from foo import * [file foo.pyi] from typing import overload class A: @overload def __add__(self, x: 'A') -> int: pass @overload def __add__(self, x: int) -> int: pass class B: def __radd__(self, x: A) -> int: pass A() + A() A() + 1 A() + B() A() + '' # E: No overload variant of "__add__" of "A" matches argument type "str" \ # N: Possible overload variants: \ # N: def __add__(self, A, /) -> int \ # N: def __add__(self, int, /) -> int [case testOverrideOverloadSwapped] from foo import * [file foo.pyi] from typing import overload class Parent: @overload def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... class Child(Parent): @overload # E: Signature of "f" incompatible with supertype "Parent" \ # N: Overload variants must be defined in the same order as they are in "Parent" def f(self, x: str) -> str: ... @overload def f(self, x: int) -> int: ... [case testOverrideOverloadSwappedWithExtraVariants] from foo import * [file foo.pyi] from typing import overload class bool: pass class Parent: @overload def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... class Child1(Parent): @overload # E: Signature of "f" incompatible with supertype "Parent" \ # N: Overload variants must be defined in the same order as they are in "Parent" def f(self, x: bool) -> bool: ... @overload def f(self, x: str) -> str: ... @overload def f(self, x: int) -> int: ... class Child2(Parent): @overload # E: Signature of "f" incompatible with supertype "Parent" \ # N: Overload variants must be defined in the same order as they are in "Parent" def f(self, x: str) -> str: ... @overload def f(self, x: bool) -> bool: ... @overload def f(self, x: int) -> int: ... class Child3(Parent): @overload # E: Signature of "f" incompatible with supertype "Parent" \ # N: Overload variants must be defined in the same order as they are in "Parent" def f(self, x: str) -> str: ... @overload def f(self, x: int) -> int: ... @overload def f(self, x: bool) -> bool: ... [case testOverrideOverloadSwappedWithAdjustedVariants] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass class C(B): pass class Parent: @overload def f(self, x: int) -> int: ... @overload def f(self, x: B) -> B: ... class Child1(Parent): @overload # Fail def f(self, x: A) -> B: ... @overload def f(self, x: int) -> int: ... class Child2(Parent): @overload # Fail def f(self, x: B) -> C: ... @overload def f(self, x: int) -> int: ... class Child3(Parent): @overload # Fail def f(self, x: B) -> A: ... @overload def f(self, x: int) -> int: ... [out] tmp/foo.pyi:13: error: Signature of "f" incompatible with supertype "Parent" tmp/foo.pyi:13: note: Overload variants must be defined in the same order as they are in "Parent" tmp/foo.pyi:18: error: Signature of "f" incompatible with supertype "Parent" tmp/foo.pyi:18: note: Overload variants must be defined in the same order as they are in "Parent" tmp/foo.pyi:23: error: Signature of "f" incompatible with supertype "Parent" tmp/foo.pyi:23: note: Superclass: tmp/foo.pyi:23: note: @overload tmp/foo.pyi:23: note: def f(self, x: int) -> int tmp/foo.pyi:23: note: @overload tmp/foo.pyi:23: note: def f(self, x: B) -> B tmp/foo.pyi:23: note: Subclass: tmp/foo.pyi:23: note: @overload tmp/foo.pyi:23: note: def f(self, x: B) -> A tmp/foo.pyi:23: note: @overload tmp/foo.pyi:23: note: def f(self, x: int) -> int [case testOverrideOverloadedMethodWithMoreGeneralArgumentTypes] from foo import * [file foo.pyi] from typing import overload class IntSub(int): pass class StrSub(str): pass class A: @overload def f(self, x: IntSub) -> int: return 0 @overload def f(self, x: StrSub) -> str: return '' class B(A): @overload def f(self, x: int) -> int: return 0 @overload def f(self, x: str) -> str: return '' [out] [case testOverrideOverloadedMethodWithMoreSpecificArgumentTypes] from foo import * [file foo.pyi] from typing import overload class IntSub(int): pass class StrSub(str): pass class A: @overload def f(self, x: int) -> int: return 0 @overload def f(self, x: str) -> str: return '' class B(A): @overload # Fail def f(self, x: IntSub) -> int: return 0 @overload def f(self, x: str) -> str: return '' class C(A): @overload # Fail def f(self, x: int) -> int: return 0 @overload def f(self, x: StrSub) -> str: return '' class D(A): @overload def f(self, x: int) -> int: return 0 @overload def f(self, x: str) -> str: return '' [out] tmp/foo.pyi:12: error: Signature of "f" incompatible with supertype "A" tmp/foo.pyi:12: note: Superclass: tmp/foo.pyi:12: note: @overload tmp/foo.pyi:12: note: def f(self, x: int) -> int tmp/foo.pyi:12: note: @overload tmp/foo.pyi:12: note: def f(self, x: str) -> str tmp/foo.pyi:12: note: Subclass: tmp/foo.pyi:12: note: @overload tmp/foo.pyi:12: note: def f(self, x: IntSub) -> int tmp/foo.pyi:12: note: @overload tmp/foo.pyi:12: note: def f(self, x: str) -> str tmp/foo.pyi:17: error: Signature of "f" incompatible with supertype "A" tmp/foo.pyi:17: note: Superclass: tmp/foo.pyi:17: note: @overload tmp/foo.pyi:17: note: def f(self, x: int) -> int tmp/foo.pyi:17: note: @overload tmp/foo.pyi:17: note: def f(self, x: str) -> str tmp/foo.pyi:17: note: Subclass: tmp/foo.pyi:17: note: @overload tmp/foo.pyi:17: note: def f(self, x: int) -> int tmp/foo.pyi:17: note: @overload tmp/foo.pyi:17: note: def f(self, x: StrSub) -> str [case testOverloadingAndDucktypeCompatibility] from foo import * [file foo.pyi] from typing import overload, _promote class A: pass @_promote(A) class B: pass @overload def f(n: B) -> B: return n @overload def f(n: A) -> A: return n f(B()) + 'x' # E: Unsupported left operand type for + ("B") f(A()) + 'x' # E: Unsupported left operand type for + ("A") [typing fixtures/typing-medium.pyi] [case testOverloadingAndIntFloatSubtyping] from foo import * [file foo.pyi] from typing import overload @overload def f(x: float) -> None: pass @overload def f(x: str) -> None: pass f(1.1) f('') f(1) f(()) # E: No overload variant of "f" matches argument type "tuple[()]" \ # N: Possible overload variants: \ # N: def f(x: float) -> None \ # N: def f(x: str) -> None [builtins fixtures/primitives.pyi] [out] [case testOverloadingVariableInputs] from foo import * [file foo.pyi] from typing import overload @overload def f(x: int, y: int) -> None: pass @overload def f(x: int) -> None: pass f(1) f(1, 2) z = (1, 2) f(*z) [builtins fixtures/primitives.pyi] [out] [case testTypeInferenceSpecialCaseWithOverloading] from foo import * [file foo.pyi] from typing import overload class A: def __add__(self, x: A) -> A: pass class B: def __radd__(self, x: A) -> B: pass @overload def f(x: A) -> A: pass @overload def f(x: B) -> B: pass f(A() + B())() # E: "B" not callable [case testKeywordArgOverload] from foo import * [file foo.pyi] from typing import overload @overload def f(x: int, y: str) -> int: pass @overload def f(x: str, y: int) -> str: pass f(x=1, y='')() # E: "int" not callable f(y=1, x='')() # E: "str" not callable [case testIgnoreOverloadVariantBasedOnKeywordArg] from foo import * [file foo.pyi] from typing import overload @overload def f(x: int) -> int: pass @overload def f(y: int) -> str: pass f(x=1)() # E: "int" not callable f(y=1)() # E: "str" not callable [case testOverloadWithTupleVarArg] from foo import * [file foo.pyi] from typing import overload @overload def f(x: int, y: str) -> int: pass @overload def f(*x: str) -> str: pass f(*(1,))() # E: No overload variant of "f" matches argument type "tuple[int]" \ # N: Possible overload variants: \ # N: def f(x: int, y: str) -> int \ # N: def f(*x: str) -> str f(*('',))() # E: "str" not callable f(*(1, ''))() # E: "int" not callable f(*(1, '', 1))() # E: No overload variant of "f" matches argument type "tuple[int, str, int]" \ # N: Possible overload variants: \ # N: def f(x: int, y: str) -> int \ # N: def f(*x: str) -> str [builtins fixtures/tuple.pyi] [case testPreferExactSignatureMatchInOverload] # flags: --no-strict-optional from foo import * [file foo.pyi] from typing import overload, List @overload def f(x: int, y: List[int] = None) -> int: pass @overload def f(x: int, y: List[str] = None) -> int: pass f(y=[1], x=0)() # E: "int" not callable f(y=[''], x=0)() # E: "int" not callable a = f(y=[['']], x=0) # E: List item 0 has incompatible type "list[str]"; expected "int" reveal_type(a) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testOverloadWithDerivedFromAny] from foo import * [file foo.pyi] from typing import Any, overload Base = None # type: Any class C: @overload def __init__(self, a: str) -> None: pass @overload def __init__(self, a: int) -> None: pass class Derived(Base): def to_dict(self) -> C: return C(self) # fails without the fix for #1363 C(Derived()) # fails without the hack C(Base()) # Always ok [case testOverloadWithBoundedTypeVar] from foo import * [file foo.pyi] from typing import overload, TypeVar T = TypeVar('T', bound=str) @overload def f(x: T) -> T: pass @overload def f(x: int) -> bool: pass class mystr(str): pass f('x')() # E: "str" not callable f(1)() # E: "bool" not callable f(1.1) # E: No overload variant of "f" matches argument type "float" \ # N: Possible overload variants: \ # N: def [T: str] f(x: T) -> T \ # N: def f(x: int) -> bool f(mystr())() # E: "mystr" not callable [builtins fixtures/primitives.pyi] [case testOverloadedCallWithVariableTypes] from foo import * [file foo.pyi] from typing import overload, TypeVar, List T = TypeVar('T', bound=str) @overload def f(x: T) -> T: pass @overload def f(x: List[T]) -> None: pass class mystr(str): pass U = TypeVar('U', bound=mystr) V = TypeVar('V') def g(x: U, y: V) -> None: f(x)() # E: "mystr" not callable f(y) # E: No overload variant of "f" matches argument type "V" \ # N: Possible overload variants: \ # N: def [T: str] f(x: T) -> T \ # N: def [T: str] f(x: list[T]) -> None a = f([x]) reveal_type(a) # N: Revealed type is "None" f([y]) # E: Value of type variable "T" of "f" cannot be "V" f([x, y]) # E: Value of type variable "T" of "f" cannot be "object" [builtins fixtures/list.pyi] [out] [case testOverloadOverlapWithTypeVars] from foo import * [file foo.pyi] from typing import overload, TypeVar, Sequence, List T = TypeVar('T', bound=str) @overload def f(x: Sequence[T]) -> None: pass @overload def f(x: Sequence[int]) -> int: pass @overload def g(x: Sequence[T]) -> None: pass @overload def g(x: Sequence[str]) -> int: pass # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader @overload def h(x: Sequence[str]) -> int: pass @overload def h(x: Sequence[T]) -> None: pass # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader # Safety of this highly depends on the implementation, so we lean towards being silent. @overload def i(x: List[str]) -> int: pass @overload def i(x: List[T]) -> None: pass [builtins fixtures/list.pyi] [case testOverloadOverlapWithTypeVarsWithValues] from foo import * [file foo.pyi] from typing import overload, TypeVar AnyStr = TypeVar('AnyStr', bytes, str) @overload def f(x: int) -> int: pass @overload def f(x: AnyStr) -> str: pass f(1)() # E: "int" not callable f('1')() # E: "str" not callable f(b'1')() # E: "str" not callable f(1.0) # E: No overload variant of "f" matches argument type "float" \ # N: Possible overload variants: \ # N: def f(x: int) -> int \ # N: def [AnyStr: (bytes, str)] f(x: AnyStr) -> str @overload def g(x: AnyStr, *a: AnyStr) -> None: pass @overload def g(x: int, *a: AnyStr) -> None: pass g('foo') g('foo', 'bar') g('foo', b'bar') # E: Value of type variable "AnyStr" of "g" cannot be "Sequence[object]" g(1) g(1, 'foo') g(1, 'foo', b'bar') # E: Value of type variable "AnyStr" of "g" cannot be "Sequence[object]" [builtins fixtures/primitives.pyi] [case testOverloadOverlapWithTypeVarsWithValuesOrdering] from foo import * [file foo.pyi] from typing import overload, TypeVar AnyStr = TypeVar('AnyStr', bytes, str) @overload def f(x: AnyStr) -> AnyStr: pass @overload def f(x: str) -> str: pass # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader @overload def g(x: str) -> str: pass @overload def g(x: AnyStr) -> AnyStr: pass [builtins fixtures/primitives.pyi] [case testOverloadsUsingAny] from typing import overload, List, Any, Union @overload def foo(x: List[int]) -> int: ... @overload def foo(x: List[str]) -> str: ... def foo(x): pass a: List[int] b: List[str] c: List[Any] d: Union[List[int], List[str]] e: List[bool] f: List[object] g: List[Union[int, str]] reveal_type(foo(a)) reveal_type(foo(b)) reveal_type(foo(c)) reveal_type(foo(d)) foo(e) foo(f) foo(g) [builtins fixtures/list.pyi] [out] main:17: note: Revealed type is "builtins.int" main:18: note: Revealed type is "builtins.str" main:19: note: Revealed type is "Any" main:20: note: Revealed type is "Union[builtins.int, builtins.str]" main:21: error: Argument 1 to "foo" has incompatible type "list[bool]"; expected "list[int]" main:21: note: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance main:21: note: Consider using "Sequence" instead, which is covariant main:22: error: Argument 1 to "foo" has incompatible type "list[object]"; expected "list[int]" main:23: error: Argument 1 to "foo" has incompatible type "list[Union[int, str]]"; expected "list[int]" [case testOverloadAgainstEmptyCollections] from typing import overload, List @overload def f(x: List[int]) -> int: ... @overload def f(x: List[str]) -> str: ... def f(x): pass reveal_type(f([])) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testOverloadAgainstEmptyCovariantCollections] from typing import overload, TypeVar, Generic T = TypeVar('T', covariant=True) class Wrapper(Generic[T]): pass class A: pass class B(A): pass class C: pass @overload def f(x: Wrapper[A]) -> int: ... @overload def f(x: Wrapper[C]) -> str: ... def f(x): pass reveal_type(f(Wrapper())) # N: Revealed type is "builtins.int" reveal_type(f(Wrapper[C]())) # N: Revealed type is "builtins.str" reveal_type(f(Wrapper[B]())) # N: Revealed type is "builtins.int" [case testOverlappingOverloadCounting] from foo import * [file foo.pyi] from typing import overload class A: pass class B(A): pass @overload def f(x: int) -> None: pass @overload def f(x: B) -> str: pass # E: Overloaded function signatures 2 and 3 overlap with incompatible return types @overload def f(x: A) -> int: pass [case testOverloadWithTupleMatchingTypeVar] from foo import * [file foo.pyi] from typing import TypeVar, Generic, Tuple, overload T = TypeVar('T') class A(Generic[T]): @overload def f(self, arg: T) -> None: pass @overload def f(self, arg: T, default: int) -> None: pass b = A() # type: A[Tuple[int, int]] b.f((0, 0)) b.f((0, '')) # E: Argument 1 to "f" of "A" has incompatible type "tuple[int, str]"; expected "tuple[int, int]" [builtins fixtures/tuple.pyi] [case testSingleOverloadStub] from foo import * [file foo.pyi] from typing import overload @overload def f(a: int) -> None: pass def f(a: int) -> None: pass [out] tmp/foo.pyi:2: error: Single overload definition, multiple required tmp/foo.pyi:4: error: An implementation for an overloaded function is not allowed in a stub file [case testSingleOverload2] from foo import * [file foo.pyi] from typing import overload def f(a: int) -> None: pass @overload def f(a: str) -> None: pass [out] tmp/foo.pyi:3: error: Name "f" already defined on line 2 tmp/foo.pyi:3: error: Single overload definition, multiple required [case testNonconsecutiveOverloads] from foo import * [file foo.pyi] from typing import overload @overload def f(a: int) -> None: pass 1 @overload def f(a: str) -> None: pass [out] tmp/foo.pyi:2: error: Single overload definition, multiple required tmp/foo.pyi:5: error: Name "f" already defined on line 2 tmp/foo.pyi:5: error: Single overload definition, multiple required [case testNonconsecutiveOverloadsMissingFirstOverload] from foo import * [file foo.pyi] from typing import overload def f(a: int) -> None: pass 1 @overload def f(a: str) -> None: pass [out] tmp/foo.pyi:4: error: Name "f" already defined on line 2 tmp/foo.pyi:4: error: Single overload definition, multiple required [case testNonconsecutiveOverloadsMissingLaterOverload] from foo import * [file foo.pyi] from typing import overload @overload def f(a: int) -> None: pass 1 def f(a: str) -> None: pass [out] tmp/foo.pyi:2: error: Single overload definition, multiple required tmp/foo.pyi:5: error: Name "f" already defined on line 2 [case testOverloadTuple] from foo import * [file foo.pyi] from typing import overload, Tuple @overload def f(x: int, y: Tuple[str, ...]) -> None: pass @overload def f(x: int, y: str) -> None: pass f(1, ('2', '3')) f(1, (2, '3')) # E: Argument 2 to "f" has incompatible type "tuple[int, str]"; expected "tuple[str, ...]" f(1, ('2',)) f(1, '2') f(1, (2, 3)) # E: Argument 2 to "f" has incompatible type "tuple[int, int]"; expected "tuple[str, ...]" x = ('2', '3') # type: Tuple[str, ...] f(1, x) y = (2, 3) # type: Tuple[int, ...] f(1, y) # E: Argument 2 to "f" has incompatible type "tuple[int, ...]"; expected "tuple[str, ...]" [builtins fixtures/tuple.pyi] [case testCallableSpecificOverload] from foo import * [file foo.pyi] from typing import overload, Callable @overload def f(a: Callable[[], int]) -> None: pass @overload def f(a: str) -> None: pass f(0) # E: No overload variant of "f" matches argument type "int" \ # N: Possible overload variants: \ # N: def f(a: Callable[[], int]) -> None \ # N: def f(a: str) -> None [case testCustomRedefinitionDecorator] from typing import Any, Callable, Type class Chain(object): def chain(self, function: Callable[[Any], int]) -> 'Chain': return self class Test(object): do_chain = Chain() @do_chain.chain # E: Name "do_chain" already defined on line 9 def do_chain(self) -> int: return 2 @do_chain.chain # E: Name "do_chain" already defined on line 11 def do_chain(self) -> int: return 3 t = Test() reveal_type(t.do_chain) # N: Revealed type is "__main__.Chain" [case testOverloadWithOverlappingItemsAndAnyArgument1] from typing import overload, Any @overload def f(x: int) -> int: ... @overload def f(x: object) -> object: ... def f(x): pass a: Any reveal_type(f(a)) # N: Revealed type is "Any" [case testOverloadWithOverlappingItemsAndAnyArgument2] from typing import overload, Any @overload def f(x: int) -> int: ... @overload def f(x: float) -> float: ... def f(x): pass a: Any reveal_type(f(a)) # N: Revealed type is "Any" [case testOverloadWithOverlappingItemsAndAnyArgument3] from typing import overload, Any @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x): pass a: Any reveal_type(f(a)) # N: Revealed type is "Any" [case testOverloadWithOverlappingItemsAndAnyArgument4] from typing import overload, Any @overload def f(x: int, y: int, z: str) -> int: ... @overload def f(x: object, y: int, z: str) -> object: ... def f(x): pass a: Any # Any causes ambiguity reveal_type(f(a, 1, '')) # N: Revealed type is "Any" # Any causes no ambiguity reveal_type(f(1, a, a)) # N: Revealed type is "builtins.int" reveal_type(f('', a, a)) # N: Revealed type is "builtins.object" # Like above, but use keyword arguments. reveal_type(f(y=1, z='', x=a)) # N: Revealed type is "Any" reveal_type(f(y=a, z='', x=1)) # N: Revealed type is "builtins.int" reveal_type(f(z='', x=1, y=a)) # N: Revealed type is "builtins.int" reveal_type(f(z='', x=a, y=1)) # N: Revealed type is "Any" [case testOverloadWithOverlappingItemsAndAnyArgument5] from typing import overload, Any, Union class A: pass class B(A): pass @overload def f(x: B) -> B: ... @overload def f(x: Union[A, B]) -> A: ... def f(x): pass # Note: overloads ignore promotions so we treat 'int' and 'float' as distinct types @overload def g(x: int) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def g(x: Union[int, float]) -> float: ... def g(x): pass a: Any reveal_type(f(a)) # N: Revealed type is "Any" reveal_type(g(a)) # N: Revealed type is "Any" [case testOverloadWithOverlappingItemsAndAnyArgument6] from typing import overload, Any @overload def f(x: int, y: int) -> int: ... @overload def f(x: float, y: int, z: str) -> float: ... @overload def f(x: object, y: int, z: str, a: None) -> str: ... def f(x): pass a: Any # Any causes ambiguity reveal_type(f(*a)) # N: Revealed type is "Any" reveal_type(f(a, *a)) # N: Revealed type is "Any" reveal_type(f(1, *a)) # N: Revealed type is "Any" reveal_type(f(1.1, *a)) # N: Revealed type is "Any" reveal_type(f('', *a)) # N: Revealed type is "builtins.str" [case testOverloadWithOverlappingItemsAndAnyArgument7] from typing import overload, Any @overload def f(x: int, y: int, z: int) -> int: ... @overload def f(x: object, y: int, z: int) -> object: ... def f(x): pass @overload def g(x: int, y: int, z: int) -> int: ... @overload def g(x: object, y: int, z: str) -> object: ... def g(x): pass a: Any reveal_type(f(1, *a)) # N: Revealed type is "builtins.int" reveal_type(g(1, *a)) # N: Revealed type is "Any" [case testOverloadWithOverlappingItemsAndAnyArgument8] from typing import overload, Any @overload def f(x: int, y: int, z: int) -> str: ... @overload def f(x: object, y: int, z: int) -> str: ... def f(x): pass a: Any # The return type is not ambiguous so Any arguments cause no ambiguity. reveal_type(f(a, 1, 1)) # N: Revealed type is "builtins.str" reveal_type(f(1, *a)) # N: Revealed type is "builtins.str" [case testOverloadWithOverlappingItemsAndAnyArgument9] from typing import overload, Any, List @overload def f(x: List[int]) -> List[int]: ... @overload def f(x: List[Any]) -> List[Any]: ... def f(x): pass a: Any b: List[Any] c: List[str] d: List[int] reveal_type(f(a)) # N: Revealed type is "builtins.list[Any]" reveal_type(f(b)) # N: Revealed type is "builtins.list[Any]" reveal_type(f(c)) # N: Revealed type is "builtins.list[Any]" reveal_type(f(d)) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testOverloadWithOverlappingItemsAndAnyArgument10] from typing import overload, Any @overload def f(*, x: int = 3, y: int = 3) -> int: ... @overload def f(**kwargs: str) -> str: ... def f(*args, **kwargs): pass a: Any i: int reveal_type(f(x=a, y=i)) # N: Revealed type is "builtins.int" reveal_type(f(y=a)) # N: Revealed type is "Any" reveal_type(f(x=a, y=a)) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [case testOverloadWithOverlappingItemsAndAnyArgument11] from typing import overload, Any, Dict @overload def f(x: int = 3, **kwargs: int) -> int: ... @overload def f(**kwargs: str) -> str: ... def f(*args, **kwargs): pass a: Dict[str, Any] i: int reveal_type(f(x=i, **a)) # N: Revealed type is "builtins.int" reveal_type(f(**a)) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [case testOverloadWithOverlappingItemsAndAnyArgument12] from typing import overload, Any @overload def f(x: int) -> Any: ... @overload def f(x: str) -> str: ... def f(x): pass a: Any reveal_type(f(a)) # N: Revealed type is "Any" [case testOverloadWithOverlappingItemsAndAnyArgument13] from typing import Any, overload, TypeVar, Generic class slice: pass T = TypeVar('T') class A(Generic[T]): @overload def f(self, x: int) -> T: ... @overload def f(self, x: slice) -> A[T]: ... def f(self, x): ... i: Any a: A[Any] reveal_type(a.f(i)) # N: Revealed type is "Any" [case testOverloadWithOverlappingItemsAndAnyArgument14] from typing import Any, overload, TypeVar, Generic T = TypeVar('T') class Wrapper(Generic[T]): pass class slice: pass class A(Generic[T]): @overload def f(self, x: int) -> Wrapper[T]: ... @overload def f(self, x: slice) -> Wrapper[A[T]]: ... def f(self, x): ... i: Any a: A[Any] reveal_type(a.f(i)) # N: Revealed type is "__main__.Wrapper[Any]" [case testOverloadWithOverlappingItemsAndAnyArgument15] from typing import overload, Any, Union @overload def f(x: int) -> str: ... @overload def f(x: str) -> str: ... def f(x): pass @overload def g(x: int) -> Union[str, int]: ... @overload def g(x: str) -> Union[int, str]: ... def g(x): pass a: Any reveal_type(f(a)) # N: Revealed type is "builtins.str" reveal_type(g(a)) # N: Revealed type is "Union[builtins.str, builtins.int]" [case testOverloadWithOverlappingItemsAndAnyArgument16] from typing import overload, Any, Union, Callable @overload def f(x: int) -> Callable[[int, int], int]: ... @overload def f(x: str) -> Callable[[str], str]: ... def f(x): pass a: Any reveal_type(f(a)) # N: Revealed type is "def (*Any, **Any) -> Any" reveal_type(f(a)(a)) # N: Revealed type is "Any" [case testOverloadOnOverloadWithType] from typing import Any, Type, TypeVar, overload from mod import MyInt T = TypeVar('T') @overload def make(cls: Type[T]) -> T: pass @overload def make() -> Any: pass def make(*args): pass c = make(MyInt) reveal_type(c) # N: Revealed type is "mod.MyInt" [file mod.pyi] from typing import overload class MyInt: @overload def __init__(self, x: str) -> None: pass @overload def __init__(self, x: str, y: int) -> None: pass [builtins fixtures/tuple.pyi] [out] [case testOverloadTupleInstance] from typing import overload, Tuple, Any class A: ... class A1(A): ... class B: ... class C: ... class D: ... @overload def f(x: A) -> A: ... @overload def f(x: Tuple[C]) -> B: ... @overload def f(x: Tuple[A1, int]) -> C: ... # E: Overloaded function signatures 3 and 5 overlap with incompatible return types @overload def f(x: Tuple[A, str]) -> D: ... @overload def f(x: Tuple[A, int]) -> D: ... @overload def f(x: Tuple[()]) -> D: ... def f(x: Any) -> Any:... [builtins fixtures/tuple.pyi] [case testOverloadTupleEllipsisNumargs] from typing import overload, Tuple, Any class A: ... class B: ... @overload def r1(x: Tuple[()]) -> B: ... # E: Overloaded function signatures 1 and 4 overlap with incompatible return types @overload def r1(x: Tuple[A]) -> B: ... # E: Overloaded function signatures 2 and 4 overlap with incompatible return types @overload def r1(x: Tuple[A, A]) -> B: ... # E: Overloaded function signatures 3 and 4 overlap with incompatible return types @overload def r1(x: Tuple[A, ...]) -> A: ... def r1(x: Any) -> Any: ... @overload def r2(x: Tuple[A, ...]) -> A: ... @overload def r2(x: Tuple[A, A]) -> B: ... # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader @overload def r2(x: Tuple[A]) -> B: ... # E: Overloaded function signature 3 will never be matched: signature 1's parameter type(s) are the same or broader @overload def r2(x: Tuple[()]) -> B: ... # E: Overloaded function signature 4 will never be matched: signature 1's parameter type(s) are the same or broader def r2(x: Any) -> Any: ... [builtins fixtures/tuple.pyi] [case testOverloadTupleEllipsisVariance] from typing import overload, Tuple, Any class A: ... class A1(A): ... class B: ... class C: ... class D: ... @overload def r(x: Tuple[A1, ...]) -> A: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def r(x: Tuple[A, ...]) -> B: ... @overload def r(x: Tuple[B, ...]) -> C: ... def r(x: Any) -> Any:... @overload def g(x: A) -> A: ... @overload def g(x: Tuple[A1, ...]) -> B: ... # E: Overloaded function signatures 2 and 3 overlap with incompatible return types @overload def g(x: Tuple[A, A]) -> C: ... @overload def g(x: Tuple[A, B]) -> D: ... def g(x: Any) -> Any:... [builtins fixtures/tuple.pyi] [case testOverloadWithMethodOverrideAndImplementation] from typing import overload, Union, Any class Parent: @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Any) -> Any: ... class Child1(Parent): @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Union[int, str]) -> Union[int, str]: ... class Child2(Parent): @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Union[int, str]) -> int: ... # E: Overloaded function implementation cannot produce return type of signature 2 class Child3(Parent): @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Any) -> Any: ... class Child4(Parent): @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Union[int, str]) -> Union[int, str]: return b'' # E: Incompatible return value type (got "bytes", expected "Union[int, str]") [builtins fixtures/tuple.pyi] [case testOverloadWithIncompatibleMethodOverrideAndImplementation] from typing import overload, Union, Any class StrSub: pass class ParentWithTypedImpl: @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Union[int, str]) -> Union[int, str]: ... class Child1(ParentWithTypedImpl): @overload # Fail def f(self, arg: int) -> int: ... @overload def f(self, arg: StrSub) -> str: ... def f(self, arg: Union[int, StrSub]) -> Union[int, str]: ... class Child2(ParentWithTypedImpl): @overload # Fail def f(self, arg: int) -> int: ... @overload def f(self, arg: StrSub) -> str: ... def f(self, arg: Any) -> Any: ... class ParentWithDynamicImpl: @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Any) -> Any: ... class Child3(ParentWithDynamicImpl): @overload # Fail def f(self, arg: int) -> int: ... @overload def f(self, arg: StrSub) -> str: ... def f(self, arg: Union[int, StrSub]) -> Union[int, str]: ... class Child4(ParentWithDynamicImpl): @overload # Fail def f(self, arg: int) -> int: ... @overload def f(self, arg: StrSub) -> str: ... def f(self, arg: Any) -> Any: ... [builtins fixtures/tuple.pyi] [out] main:13: error: Signature of "f" incompatible with supertype "ParentWithTypedImpl" main:13: note: Superclass: main:13: note: @overload main:13: note: def f(self, arg: int) -> int main:13: note: @overload main:13: note: def f(self, arg: str) -> str main:13: note: Subclass: main:13: note: @overload main:13: note: def f(self, arg: int) -> int main:13: note: @overload main:13: note: def f(self, arg: StrSub) -> str main:20: error: Signature of "f" incompatible with supertype "ParentWithTypedImpl" main:20: note: Superclass: main:20: note: @overload main:20: note: def f(self, arg: int) -> int main:20: note: @overload main:20: note: def f(self, arg: str) -> str main:20: note: Subclass: main:20: note: @overload main:20: note: def f(self, arg: int) -> int main:20: note: @overload main:20: note: def f(self, arg: StrSub) -> str main:34: error: Signature of "f" incompatible with supertype "ParentWithDynamicImpl" main:34: note: Superclass: main:34: note: @overload main:34: note: def f(self, arg: int) -> int main:34: note: @overload main:34: note: def f(self, arg: str) -> str main:34: note: Subclass: main:34: note: @overload main:34: note: def f(self, arg: int) -> int main:34: note: @overload main:34: note: def f(self, arg: StrSub) -> str main:41: error: Signature of "f" incompatible with supertype "ParentWithDynamicImpl" main:41: note: Superclass: main:41: note: @overload main:41: note: def f(self, arg: int) -> int main:41: note: @overload main:41: note: def f(self, arg: str) -> str main:41: note: Subclass: main:41: note: @overload main:41: note: def f(self, arg: int) -> int main:41: note: @overload main:41: note: def f(self, arg: StrSub) -> str [case testOverloadAnyIsConsideredValidReturnSubtype] from typing import Any, overload, Optional @overload def foo(x: None) -> Any: ... @overload def foo(x: Optional[str]) -> str: ... def foo(x): pass @overload def bar(x: None) -> object: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def bar(x: Optional[str]) -> str: ... def bar(x): pass [case testOverloadWithNonPositionalArgs] from typing import overload class A: ... class B: ... class C: ... @overload def foo(*, p1: A, p2: B = B()) -> A: ... @overload def foo(*, p2: B = B()) -> B: ... def foo(p1, p2=None): ... reveal_type(foo()) # N: Revealed type is "__main__.B" reveal_type(foo(p2=B())) # N: Revealed type is "__main__.B" reveal_type(foo(p1=A())) # N: Revealed type is "__main__.A" [case testOverloadWithNonPositionalArgsIgnoresOrder] from typing import overload class A: ... class B(A): ... class X: ... class Y: ... @overload def f(*, p1: X, p2: A) -> X: ... @overload def f(*, p2: B, p1: X) -> Y: ... # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader def f(*, p1, p2): ... @overload def g(*, p1: X, p2: B) -> X: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def g(*, p2: A, p1: X) -> Y: ... def g(*, p1, p2): ... [case testOverloadWithVariableArgsAreOverlapping] from wrapper import * [file wrapper.pyi] from typing import overload # Safety of this highly depends on the implementation, so we lean towards being silent. @overload def foo1(*x: int) -> int: ... @overload def foo1(x: int, y: int, z: int) -> str: ... @overload def foo2(*x: int) -> int: ... @overload def foo2(x: int, y: str, z: int) -> str: ... # Note: this is technically unsafe, but we don't report this for now. @overload def bar1(x: int, y: int, z: int) -> str: ... @overload def bar1(*x: int) -> int: ... @overload def bar2(x: int, y: str, z: int) -> str: ... @overload def bar2(*x: int) -> int: ... [builtins fixtures/tuple.pyi] [case testOverloadDetectsPossibleMatchesWithGenerics] # flags: --strict-optional from typing import overload, TypeVar, Generic, Optional, List T = TypeVar('T') # The examples below are unsafe, but it is a quite common pattern # so we ignore the possibility of type variables taking value `None` # for the purpose of overload overlap checks. @overload def foo(x: None, y: None) -> str: ... @overload def foo(x: T, y: T) -> int: ... def foo(x): ... oi: Optional[int] reveal_type(foo(None, None)) # N: Revealed type is "builtins.str" reveal_type(foo(None, 42)) # N: Revealed type is "builtins.int" reveal_type(foo(42, 42)) # N: Revealed type is "builtins.int" reveal_type(foo(oi, None)) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(foo(oi, 42)) # N: Revealed type is "builtins.int" reveal_type(foo(oi, oi)) # N: Revealed type is "Union[builtins.int, builtins.str]" @overload def foo_list(x: None) -> None: ... @overload def foo_list(x: T) -> List[T]: ... def foo_list(x): ... reveal_type(foo_list(oi)) # N: Revealed type is "Union[builtins.list[builtins.int], None]" # What if 'T' is 'object'? @overload def bar(x: None, y: int) -> str: ... @overload def bar(x: T, y: T) -> int: ... def bar(x, y): ... class Wrapper(Generic[T]): @overload def foo(self, x: None, y: None) -> str: ... @overload def foo(self, x: T, y: None) -> int: ... def foo(self, x): ... @overload def bar(self, x: None, y: int) -> str: ... @overload def bar(self, x: T, y: T) -> int: ... def bar(self, x, y): ... @overload def baz(x: str, y: str) -> str: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def baz(x: T, y: T) -> int: ... def baz(x): ... [builtins fixtures/tuple.pyi] [case testOverloadFlagsPossibleMatches] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(x: str) -> str: ... @overload def foo1(x: str, y: str = ...) -> int: ... @overload def foo2(x: str, y: str = ...) -> int: ... @overload def foo2(x: str) -> str: ... # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader @overload def foo3(x: str) -> str: ... @overload def foo3(x: str, y: str) -> int: ... [case testOverloadPossibleOverlapWithArgsAndKwargs] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(*args: int) -> int: ... @overload def foo1(**kwargs: int) -> str: ... @overload def foo2(**kwargs: int) -> str: ... @overload def foo2(*args: int) -> int: ... [builtins fixtures/dict.pyi] [case testOverloadPossibleOverlapWithVarargs] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(*args: int) -> int: ... @overload def foo1(*args2: int) -> str: ... # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader @overload def foo2(*args: int) -> str: ... @overload def foo2(*args2: str) -> int: ... @overload def foo3(*args: int) -> str: ... @overload def foo3(*args: str) -> int: ... [builtins fixtures/tuple.pyi] [case testOverloadPossibleOverlapWithVarargs2] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(*args: str) -> int: ... @overload def foo1(x: int, *args2: int) -> str: ... @overload def foo2(x: int, *args: int) -> str: ... @overload def foo2(*args2: str) -> int: ... # The two examples are unsafe, but this is hard to detect. @overload def foo3(*args: int) -> int: ... @overload def foo3(x: int, *args2: int) -> str: ... @overload def foo4(x: int, *args: int) -> str: ... @overload def foo4(*args2: int) -> int: ... [builtins fixtures/tuple.pyi] [case testOverloadPossibleOverlapWithVarargs3] from wrapper import * [file wrapper.pyi] from typing import overload class Other: ... @overload def foo1(x: Other, *args: int) -> str: ... @overload def foo1(*args: str) -> int: ... @overload def foo2(*args: int) -> str: ... @overload def foo2(x: Other, *args: str) -> int: ... @overload def foo3(x: Other = ..., *args: int) -> str: ... @overload def foo3(*args: str) -> int: ... @overload def foo4(*args: int) -> str: ... @overload def foo4(x: Other = ..., *args: str) -> int: ... [builtins fixtures/tuple.pyi] [case testOverloadPossibleOverlapWithVarargs4] from typing import overload @overload def foo1(x: int = 0, y: int = 0) -> int: ... @overload def foo1(*xs: int) -> str: ... def foo1(*args): pass @overload def foo2(*xs: int) -> str: ... @overload def foo2(x: int = 0, y: int = 0) -> int: ... def foo2(*args): pass [builtins fixtures/tuple.pyi] [case testOverloadPossibleOverlapWithKwargs] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(**kwargs: int) -> int: ... @overload def foo1(**kwargs2: int) -> str: ... # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader @overload def foo2(**kwargs: int) -> str: ... @overload def foo2(**kwargs2: str) -> int: ... @overload def foo(**kwargs: int) -> str: ... @overload def foo(**kwargs: str) -> int: ... [builtins fixtures/dict.pyi] [case testOverloadPossibleOverlapMixingNamedArgsWithVarargs] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(x: str, *, y: str) -> str: ... @overload def foo1(*x: str) -> int: ... @overload def foo2(*x: str) -> int: ... @overload def foo2(x: str, *, y: str) -> str: ... [builtins fixtures/tuple.pyi] [case testOverloadPossibleOverlapMixingOptionalArgsWithVarargs] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(x: str, y: str = ..., z: str = ...) -> str: ... @overload def foo1(*x: str) -> int: ... @overload def foo2(*x: str) -> int: ... @overload def foo2(x: str, y: str = ..., z: str = ...) -> str: ... @overload def foo3(x: int, y: str = ..., z: str = ...) -> str: ... @overload def foo3(*x: str) -> int: ... [builtins fixtures/tuple.pyi] [case testOverloadPossibleOverlapMixingOptionalArgsWithVarargs2] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(x: str, y: str = ..., z: int = ...) -> str: ... @overload def foo1(*x: str) -> int: ... @overload def foo2(x: str, y: str = ..., z: int = ...) -> str: ... @overload def foo2(*x: str) -> int: ... [builtins fixtures/tuple.pyi] [case testOverloadPossibleOverlapMixingNamedArgsWithKwargs] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(*, x: str, y: str, z: str) -> str: ... @overload def foo1(**x: str) -> int: ... @overload def foo2(**x: str) -> int: ... @overload def foo2(*, x: str, y: str, z: str) -> str: ... # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader @overload def foo3(*, x: int, y: str, z: str) -> str: ... @overload def foo3(*x: str) -> int: ... [builtins fixtures/dict.pyi] [case testOverloadPossibleOverlapMixingNamedArgsWithKwargs2] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(*, x: str, y: str, z: int) -> str: ... @overload def foo1(**x: str) -> int: ... @overload def foo2(**x: str) -> int: ... @overload def foo2(*, x: str, y: str, z: int) -> str: ... @overload def foo3(*, x: str, y: str, z: int = ...) -> str: ... @overload def foo3(**x: str) -> int: ... @overload def foo4(**x: str) -> int: ... @overload def foo4(*, x: str, y: str, z: int = ...) -> str: ... [builtins fixtures/dict.pyi] [case testOverloadPossibleOverlapMixingNamedArgsWithKwargs3] from wrapper import * [file wrapper.pyi] from typing import overload @overload def foo1(x: str, *, y: str, z: str) -> str: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types \ # N: Flipping the order of overloads will fix this error @overload def foo1(**x: str) -> int: ... @overload def foo2(**x: str) -> int: ... @overload def foo2(x: str, *, y: str, z: str) -> str: ... [builtins fixtures/dict.pyi] [case testOverloadVarargInputAndVarargDefinition] from typing import overload, List class A: ... class B: ... class C: ... @overload def foo(x: int) -> A: ... @overload def foo(x: int, y: int) -> B: ... @overload def foo(x: int, y: int, z: int, *args: int) -> C: ... def foo(*args): pass reveal_type(foo(1)) # N: Revealed type is "__main__.A" reveal_type(foo(1, 2)) # N: Revealed type is "__main__.B" reveal_type(foo(1, 2, 3)) # N: Revealed type is "__main__.C" reveal_type(foo(*[1])) # N: Revealed type is "__main__.C" reveal_type(foo(*[1, 2])) # N: Revealed type is "__main__.C" reveal_type(foo(*[1, 2, 3])) # N: Revealed type is "__main__.C" x: List[int] reveal_type(foo(*x)) # N: Revealed type is "__main__.C" y: List[str] foo(*y) # E: No overload variant of "foo" matches argument type "list[str]" \ # N: Possible overload variants: \ # N: def foo(x: int) -> A \ # N: def foo(x: int, y: int) -> B \ # N: def foo(x: int, y: int, z: int, *args: int) -> C [builtins fixtures/list.pyi] [case testOverloadMultipleVarargDefinition] from typing import overload, List, Any class A: ... class B: ... class C: ... class D: ... @overload def foo(x: int) -> A: ... @overload def foo(x: int, y: int) -> B: ... @overload def foo(x: int, y: int, z: int, *args: int) -> C: ... @overload def foo(*x: str) -> D: ... def foo(*args): pass reveal_type(foo(*[1, 2])) # N: Revealed type is "__main__.C" reveal_type(foo(*["a", "b"])) # N: Revealed type is "__main__.D" x: List[Any] reveal_type(foo(*x)) # N: Revealed type is "Any" [builtins fixtures/list.pyi] [case testOverloadMultipleVarargDefinitionComplex] from typing import TypeVar, overload, Any, Callable T1 = TypeVar('T1') T2 = TypeVar('T2') T3 = TypeVar('T3') @overload def chain_call(input_value: T1, f1: Callable[[T1], T2]) -> T2: ... @overload def chain_call(input_value: T1, f1: Callable[[T1], T2], f2: Callable[[T2], T3]) -> T3: ... @overload def chain_call(input_value: T1, *f_rest: Callable[[T1], T1]) -> T1: ... @overload def chain_call(input_value: T1, f1: Callable[[T1], T2], f2: Callable[[T2], T3], f3: Callable[[T3], Any], *f_rest: Callable[[Any], Any]) -> Any: ... def chain_call(input_value, *f_rest): for function in f_rest: input_value = function(input_value) return input_value class A: ... class B: ... class C: ... class D: ... def f(x: A) -> A: ... def f1(x: A) -> B: ... def f2(x: B) -> C: ... def f3(x: C) -> D: ... reveal_type(chain_call(A(), f1, f2)) # N: Revealed type is "__main__.C" reveal_type(chain_call(A(), f1, f2, f3)) # N: Revealed type is "Any" reveal_type(chain_call(A(), f, f, f, f)) # N: Revealed type is "__main__.A" [builtins fixtures/list.pyi] [case testOverloadVarargsSelection] from typing import overload, Tuple @overload def f(x: int) -> Tuple[int]: ... @overload def f(x: int, y: int) -> Tuple[int, int]: ... @overload def f(*xs: int) -> Tuple[int, ...]: ... def f(*args): pass i: int reveal_type(f(i)) # N: Revealed type is "tuple[builtins.int]" reveal_type(f(i, i)) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(f(i, i, i)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(f(*[])) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(f(*[i])) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(f(*[i, i])) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(f(*[i, i, i])) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/list.pyi] [case testOverloadVarargsSelectionWithTuples] from typing import overload, Tuple @overload def f(x: int) -> Tuple[int]: ... @overload def f(x: int, y: int) -> Tuple[int, int]: ... @overload def f(*xs: int) -> Tuple[int, ...]: ... def f(*args): pass i: int reveal_type(f(*())) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(f(*(i,))) # N: Revealed type is "tuple[builtins.int]" reveal_type(f(*(i, i))) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(f(*(i, i, i))) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [case testOverloadVarargsSelectionWithNamedTuples] from typing import overload, Tuple, NamedTuple @overload def f(x: int, y: int) -> Tuple[int, int]: ... @overload def f(*xs: int) -> Tuple[int, ...]: ... def f(*args): pass A = NamedTuple('A', [('x', int), ('y', int)]) B = NamedTuple('B', [('a', int), ('b', int)]) C = NamedTuple('C', [('a', int), ('b', int), ('c', int)]) a: A b: B c: C reveal_type(f(*a)) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(f(*b)) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(f(*c)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [case testOverloadKwargsSelectionWithDict] from typing import overload, Tuple, Dict @overload def f(*, x: int) -> Tuple[int]: ... @overload def f(*, x: int, y: int) -> Tuple[int, int]: ... @overload def f(**xs: int) -> Tuple[int, ...]: ... def f(**kwargs): pass empty: Dict[str, int] reveal_type(f(**empty)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(f(**{'x': 4})) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(f(**{'x': 4, 'y': 4})) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(f(**{'a': 4, 'b': 4, 'c': 4})) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/dict.pyi] [case testOverloadKwargsSelectionWithTypedDict] from typing import overload, Tuple, TypedDict @overload def f(*, x: int) -> Tuple[int]: ... @overload def f(*, x: int, y: int) -> Tuple[int, int]: ... @overload def f(**xs: int) -> Tuple[int, ...]: ... def f(**args): pass A = TypedDict('A', {'x': int}) B = TypedDict('B', {'x': int, 'y': int}) C = TypedDict('C', {'x': int, 'y': int, 'z': int}) a: A b: B c: C reveal_type(f(**a)) # N: Revealed type is "tuple[builtins.int]" reveal_type(f(**b)) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(f(**c)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testOverloadVarargsAndKwargsSelection] from typing import overload, Any, Tuple, Dict class A: pass class B(A): pass @overload def f(x: int, y: int) -> B: pass @overload def f(x: int, y: int, **kwargs: int) -> A: pass @overload def f(*args: int, **kwargs: int) -> Any: pass def f(*args, **kwargs): pass a: Tuple[int, int] b: Tuple[int, ...] c: Dict[str, int] reveal_type(f(*a, **c)) # N: Revealed type is "__main__.A" reveal_type(f(*b, **c)) # N: Revealed type is "__main__.A" reveal_type(f(*a)) # N: Revealed type is "__main__.B" reveal_type(f(*b)) # N: Revealed type is "Any" # TODO: Should this be 'Any' instead? # The first matching overload with a kwarg is f(int, int, **int) -> A, # but f(*int, **int) -> Any feels like a better fit. reveal_type(f(**c)) # N: Revealed type is "__main__.A" [builtins fixtures/args.pyi] [case testOverloadWithPartiallyOverlappingUnions] from typing import overload, Union class A: ... class B: ... class C: ... class D: ... @overload def f(x: Union[A, B]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: Union[B, C]) -> str: ... def f(x): ... @overload def g(x: Union[A, B]) -> int: ... @overload def g(x: Union[B, C]) -> int: ... def g(x): ... @overload def h(x: Union[A, B]) -> int: ... @overload def h(x: Union[C, D]) -> str: ... def h(x): ... @overload def i(x: Union[A, B]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def i(x: Union[A, B, C]) -> str: ... def i(x): ... [case testOverloadWithPartiallyOverlappingUnionsNested] from typing import overload, Union, List class A: ... class B: ... class C: ... class D: ... @overload def f(x: List[Union[A, B]]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: List[Union[B, C]]) -> str: ... def f(x): ... @overload def g(x: List[Union[A, B]]) -> int: ... @overload def g(x: List[Union[B, C]]) -> int: ... def g(x): ... @overload def h(x: List[Union[A, B]]) -> int: ... @overload def h(x: List[Union[C, D]]) -> str: ... def h(x): ... @overload def i(x: List[Union[A, B]]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types \ # N: Flipping the order of overloads will fix this error @overload def i(x: List[Union[A, B, C]]) -> str: ... def i(x): ... [builtins fixtures/list.pyi] [case testOverloadPartialOverlapWithUnrestrictedTypeVar] from typing import TypeVar, overload T = TypeVar('T') # Note: this is unsafe, but it is hard to detect. @overload def f(x: int) -> str: ... @overload def f(x: T) -> T: ... def f(x): ... @overload def g(x: int) -> int: ... @overload def g(x: T) -> T: ... def g(x): ... [case testOverloadPartialOverlapWithUnrestrictedTypeVarNested] from typing import TypeVar, overload, List T = TypeVar('T') # Note: first two examples are unsafe, but it is hard to detect. @overload def f1(x: List[int]) -> str: ... @overload def f1(x: List[T]) -> T: ... def f1(x): ... @overload def f2(x: List[int]) -> List[str]: ... @overload def f2(x: List[T]) -> List[T]: ... def f2(x): ... @overload def g1(x: List[int]) -> int: ... @overload def g1(x: List[T]) -> T: ... def g1(x): ... @overload def g2(x: List[int]) -> List[int]: ... @overload def g2(x: List[T]) -> List[T]: ... def g2(x): ... [builtins fixtures/list.pyi] [case testOverloadPartialOverlapWithUnrestrictedTypeVarInClass] from typing import TypeVar, overload, Generic T = TypeVar('T') class Wrapper(Generic[T]): # Similar to above: this is unsafe, but it is hard to detect. @overload def f(self, x: int) -> str: ... @overload def f(self, x: T) -> T: ... def f(self, x): ... @overload def g(self, x: int) -> int: ... @overload def g(self, x: T) -> T: ... def g(self, x): ... [case testOverloadPartialOverlapWithUnrestrictedTypeVarInClassNested] from typing import TypeVar, overload, Generic, List T = TypeVar('T') class Wrapper(Generic[T]): # Similar to above: first two examples are unsafe, but it is hard to detect. @overload def f1(self, x: List[int]) -> str: ... @overload def f1(self, x: List[T]) -> T: ... def f1(self, x): ... @overload def f2(self, x: List[int]) -> List[str]: ... @overload def f2(self, x: List[T]) -> List[T]: ... def f2(self, x): ... @overload def g1(self, x: List[int]) -> int: ... @overload def g1(self, x: List[T]) -> T: ... def g1(self, x): ... @overload def g2(self, x: List[int]) -> List[int]: ... @overload def g2(self, x: List[T]) -> List[T]: ... def g2(self, x): ... [builtins fixtures/list.pyi] [case testOverloadTypedDictDifferentRequiredKeysMeansDictsAreDisjoint] from typing import TypedDict, overload A = TypedDict('A', {'x': int, 'y': int}) B = TypedDict('B', {'x': int, 'y': str}) @overload def f(x: A) -> int: ... @overload def f(x: B) -> str: ... def f(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testOverloadedTypedDictPartiallyOverlappingRequiredKeys] from typing import overload, TypedDict, Union A = TypedDict('A', {'x': int, 'y': Union[int, str]}) B = TypedDict('B', {'x': int, 'y': Union[str, float]}) @overload def f(x: A) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: B) -> str: ... def f(x): pass @overload def g(x: A) -> int: ... @overload def g(x: B) -> object: ... def g(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testOverloadedTypedDictFullyNonTotalDictsAreAlwaysPartiallyOverlapping] from typing import TypedDict, overload A = TypedDict('A', {'x': int, 'y': str}, total=False) B = TypedDict('B', {'a': bool}, total=False) C = TypedDict('C', {'x': str, 'y': int}, total=False) @overload def f(x: A) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: B) -> str: ... def f(x): pass @overload def g(x: A) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def g(x: C) -> str: ... def g(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testOverloadedTotalAndNonTotalTypedDictsCanPartiallyOverlap] from typing import overload, TypedDict, Union A = TypedDict('A', {'x': int, 'y': str}) B = TypedDict('B', {'x': Union[int, str], 'y': str, 'z': int}, total=False) @overload def f1(x: A) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f1(x: B) -> str: ... def f1(x): pass @overload def f2(x: B) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f2(x: A) -> str: ... def f2(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testOverloadedTypedDictsWithSomeOptionalKeysArePartiallyOverlapping] from typing import overload, TypedDict, Union class A(TypedDict): x: int y: int class B(TypedDict, total=False): z: str class C(TypedDict, total=False): z: int @overload def f(x: B) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: C) -> str: ... def f(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testOverloadedPartiallyOverlappingInheritedTypes1] from typing import overload, List, Union, TypeVar, Generic class A: pass class B: pass class C: pass T = TypeVar('T') class ListSubclass(List[T]): pass class Unrelated(Generic[T]): pass @overload def f(x: List[Union[A, B]]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: ListSubclass[Union[B, C]]) -> str: ... def f(x): pass @overload def g(x: List[Union[A, B]]) -> int: ... @overload def g(x: Unrelated[Union[B, C]]) -> str: ... def g(x): pass [builtins fixtures/list.pyi] [case testOverloadedPartiallyOverlappingInheritedTypes2] from typing import overload, List, Union class A: pass class B: pass class C: pass class ListSubclass(List[Union[B, C]]): pass @overload def f(x: List[Union[A, B]]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: ListSubclass) -> str: ... def f(x): pass [builtins fixtures/list.pyi] [case testOverloadedPartiallyOverlappingInheritedTypes3] from typing import overload, Union, Dict, TypeVar class A: pass class B: pass class C: pass S = TypeVar('S') class DictSubclass(Dict[str, S]): pass @overload def f(x: Dict[str, Union[A, B]]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: DictSubclass[Union[B, C]]) -> str: ... def f(x): pass [builtins fixtures/dict.pyi] [case testOverloadedPartiallyOverlappingTypeVarsAndUnion] from typing import overload, TypeVar, Union class A: pass class B: pass class C: pass S = TypeVar('S', A, B) @overload def f(x: S) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types \ # N: Flipping the order of overloads will fix this error @overload def f(x: Union[B, C]) -> str: ... def f(x): pass @overload def g(x: Union[B, C]) -> int: ... @overload def g(x: S) -> str: ... def g(x): pass [case testOverloadPartiallyOverlappingTypeVarsIdentical] from typing import overload, TypeVar, Union T = TypeVar('T') class A: pass class B: pass class C: pass @overload def f(x: T, y: T, z: Union[A, B]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: T, y: T, z: Union[B, C]) -> str: ... def f(x, y, z): pass [case testOverloadedPartiallyOverlappingCallables] from typing import overload, Union, Callable class A: pass class B: pass class C: pass @overload def f(x: Callable[[Union[A, B]], int]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: Callable[[Union[B, C]], int]) -> str: ... def f(x): pass [case testOverloadNotConfusedForProperty] from typing import overload class PropertyClass: @property def foo(self) -> str: return "..." @foo.setter def foo(self, value: str) -> None: pass @foo.deleter def foo(self) -> None: pass class OverloadClass: @overload def foo(self) -> str: pass @overload def foo(self, value: str) -> None: pass @overload def foo(self) -> None: pass # E: Overloaded function signature 3 will never be matched: signature 1's parameter type(s) are the same or broader def foo(self, *args): pass [builtins fixtures/property.pyi] [case testOverloadInferUnionReturnBasic] from typing import overload, Union class A: ... class B: ... class C: ... class D: ... @overload def f1(x: A) -> B: ... @overload def f1(x: C) -> D: ... def f1(x): ... arg1: Union[A, C] reveal_type(f1(arg1)) # N: Revealed type is "Union[__main__.B, __main__.D]" arg2: Union[A, B] f1(arg2) # E: Argument 1 to "f1" has incompatible type "Union[A, B]"; expected "A" @overload def f2(x: A) -> B: ... @overload def f2(x: C) -> B: ... def f2(x): ... reveal_type(f2(arg1)) # N: Revealed type is "__main__.B" [case testOverloadInferUnionReturnMultipleArguments] from typing import overload, Union class A: ... class B: ... class C: ... class D: ... @overload def f1(x: A, y: C) -> B: ... @overload def f1(x: C, y: A) -> D: ... def f1(x, y): ... arg1: Union[A, C] reveal_type(f1(arg1, arg1)) @overload def f2(x: A, y: C) -> B: ... @overload def f2(x: C, y: C) -> D: ... def f2(x, y): ... reveal_type(f2(arg1, arg1)) reveal_type(f2(arg1, C())) [out] main:15: note: Revealed type is "__main__.B" main:15: error: Argument 1 to "f1" has incompatible type "Union[A, C]"; expected "A" main:15: error: Argument 2 to "f1" has incompatible type "Union[A, C]"; expected "C" main:23: note: Revealed type is "__main__.B" main:23: error: Argument 1 to "f2" has incompatible type "Union[A, C]"; expected "A" main:23: error: Argument 2 to "f2" has incompatible type "Union[A, C]"; expected "C" main:24: note: Revealed type is "Union[__main__.B, __main__.D]" [case testOverloadInferUnionRespectsVariance] from typing import overload, TypeVar, Union, Generic class A: pass class B(A): pass class C(B): pass T_co = TypeVar('T_co', covariant=True) T_contra = TypeVar('T_contra', contravariant=True) class WrapperCo(Generic[T_co]): pass class WrapperContra(Generic[T_contra]): pass @overload def foo(x: WrapperCo[B]) -> int: ... @overload def foo(x: WrapperContra[B]) -> str: ... def foo(x): pass compat: Union[WrapperCo[C], WrapperContra[A]] reveal_type(foo(compat)) # N: Revealed type is "Union[builtins.int, builtins.str]" not_compat: Union[WrapperCo[A], WrapperContra[C]] foo(not_compat) # E: Argument 1 to "foo" has incompatible type "Union[WrapperCo[A], WrapperContra[C]]"; expected "WrapperCo[B]" [case testOverloadInferUnionIfParameterNamesAreDifferent] from typing import overload, Union class A: ... class B: ... class C: ... @overload def f(x: A) -> B: ... @overload def f(y: B) -> C: ... def f(x): ... x: Union[A, B] reveal_type(f(A())) # N: Revealed type is "__main__.B" reveal_type(f(B())) # N: Revealed type is "__main__.C" reveal_type(f(x)) # N: Revealed type is "Union[__main__.B, __main__.C]" [case testOverloadInferUnionReturnFunctionsWithKwargs] from typing import overload, Union, Optional class A: ... class B: ... class C: ... class D(B, C): ... @overload def f(x: A) -> D: ... @overload def f(x: A, y: Optional[B] = None) -> C: ... @overload def f(x: A, z: Optional[C] = None) -> B: ... def f(x, y=None, z=None): ... reveal_type(f(A(), B())) # N: Revealed type is "__main__.C" reveal_type(f(A(), C())) # N: Revealed type is "__main__.B" arg: Union[B, C] reveal_type(f(A(), arg)) # N: Revealed type is "Union[__main__.C, __main__.B]" reveal_type(f(A())) # N: Revealed type is "__main__.D" [builtins fixtures/tuple.pyi] [case testOverloadInferUnionWithDifferingLengths] from typing import overload, Union class Parent: ... class Child(Parent): ... class A: ... class B: ... @overload def f(x: A) -> Child: ... @overload def f(x: B, y: B = B()) -> Parent: ... def f(*args): ... x: Union[A, B] reveal_type(f(x)) # N: Revealed type is "__main__.Parent" f(x, B()) # E: Argument 1 to "f" has incompatible type "Union[A, B]"; expected "B" [builtins fixtures/tuple.pyi] [case testOverloadInferUnionWithMixOfPositionalAndOptionalArgs] from typing import overload, Union, Optional class A: ... class B: ... @overload def f(x: A) -> int: ... @overload def f(x: Optional[B] = None) -> str: ... def f(*args): ... x: Union[A, B] y: Optional[A] z: Union[A, Optional[B]] reveal_type(f(x)) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(f(y)) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(f(z)) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(f()) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testOverloadingInferUnionReturnWithTypevarWithValueRestriction] from typing import overload, Union, TypeVar, Generic class A: pass class B: pass class C: pass T = TypeVar('T', B, C) class Wrapper(Generic[T]): @overload def f(self, x: T) -> B: ... @overload def f(self, x: A) -> C: ... def f(self, x): ... obj: Wrapper[B] = Wrapper() x: Union[A, B] reveal_type(obj.f(A())) # N: Revealed type is "__main__.C" reveal_type(obj.f(B())) # N: Revealed type is "__main__.B" reveal_type(obj.f(x)) # N: Revealed type is "Union[__main__.C, __main__.B]" [case testOverloadingInferUnionReturnWithFunctionTypevarReturn] from typing import overload, Union, TypeVar, Generic T = TypeVar('T') class W1(Generic[T]): pass class W2(Generic[T]): pass class A: pass class B: pass @overload def foo(x: W1[T]) -> T: ... @overload def foo(x: W2[T]) -> T: ... def foo(x): ... def bar(x: Union[W1[T], W2[T]]) -> T: ... def wrapper() -> None: obj1: Union[W1[A], W2[A]] a1: A = foo(obj1) a2 = foo(obj1) reveal_type(a1) # N: Revealed type is "__main__.A" reveal_type(a2) # N: Revealed type is "__main__.A" obj2: Union[W1[A], W2[B]] reveal_type(foo(obj2)) # N: Revealed type is "Union[__main__.A, __main__.B]" bar(obj2) # E: Cannot infer value of type parameter "T" of "bar" b1_overload: A = foo(obj2) # E: Incompatible types in assignment (expression has type "Union[A, B]", variable has type "A") b1_union: A = bar(obj2) # E: Cannot infer value of type parameter "T" of "bar" [case testOverloadingInferUnionReturnWithObjectTypevarReturn] from typing import overload, Union, TypeVar, Generic T = TypeVar('T') class W1(Generic[T]): pass class W2(Generic[T]): pass class A: pass class B: pass class SomeType(Generic[T]): @overload def foo(self, x: W1[T]) -> T: ... @overload def foo(self, x: W2[T]) -> T: ... def foo(self, x): ... def bar(self, x: Union[W1[T], W2[T]]) -> T: ... def wrapper() -> None: obj1: Union[W1[A], W2[A]] a1 = SomeType[A]().foo(obj1) reveal_type(a1) # N: Revealed type is "__main__.A" # Note: These should be fine, but mypy has an unrelated bug # that makes them error out? a2_overload: A = SomeType().foo(obj1) # E: Argument 1 to "foo" of "SomeType" has incompatible type "Union[W1[A], W2[A]]"; expected "W1[Never]" a2_union: A = SomeType().bar(obj1) # E: Argument 1 to "bar" of "SomeType" has incompatible type "Union[W1[A], W2[A]]"; expected "Union[W1[Never], W2[Never]]" SomeType().foo(obj1) # E: Argument 1 to "foo" of "SomeType" has incompatible type "Union[W1[A], W2[A]]"; expected "W1[Never]" SomeType().bar(obj1) # E: Argument 1 to "bar" of "SomeType" has incompatible type "Union[W1[A], W2[A]]"; expected "Union[W1[Never], W2[Never]]" [case testOverloadingInferUnionReturnWithBadObjectTypevarReturn] from typing import overload, Union, TypeVar, Generic T = TypeVar('T') class W1(Generic[T]): pass class W2(Generic[T]): pass class A: pass class B: pass class SomeType(Generic[T]): @overload def foo(self, x: W1[T]) -> T: ... @overload def foo(self, x: W2[T]) -> T: ... def foo(self, x): ... def bar(self, x: Union[W1[T], W2[T]]) -> T: ... def wrapper(mysterious: T) -> T: obj1: Union[W1[A], W2[B]] SomeType().foo(obj1) # E: Argument 1 to "foo" of "SomeType" has incompatible type "Union[W1[A], W2[B]]"; expected "W1[Never]" SomeType().bar(obj1) # E: Argument 1 to "bar" of "SomeType" has incompatible type "Union[W1[A], W2[B]]"; expected "Union[W1[Never], W2[Never]]" SomeType[A]().foo(obj1) # E: Argument 1 to "foo" of "SomeType" has incompatible type "Union[W1[A], W2[B]]"; expected "W1[A]" SomeType[A]().bar(obj1) # E: Argument 1 to "bar" of "SomeType" has incompatible type "Union[W1[A], W2[B]]"; expected "Union[W1[A], W2[A]]" SomeType[T]().foo(obj1) # E: Argument 1 to "foo" of "SomeType" has incompatible type "Union[W1[A], W2[B]]"; expected "W1[T]" SomeType[T]().bar(obj1) # E: Argument 1 to "bar" of "SomeType" has incompatible type "Union[W1[A], W2[B]]"; expected "Union[W1[T], W2[T]]" return mysterious [case testOverloadingInferUnionReturnWithMixedTypevars] from typing import overload, Generic, TypeVar, List, Tuple, Union class A: pass class B(A): pass class C(A): pass T = TypeVar('T', bound=A) S = TypeVar('S') class Dummy(Generic[T]): @overload def foo(self, x: List[Tuple[T, S]], y: S) -> T: ... @overload def foo(self, x: List[S], y: S) -> S: ... def foo(self, x: Union[List[Tuple[T, S]], List[S]], y: S) -> Union[T, S]: ... T1 = TypeVar('T1', bound=A) def t_is_same_bound(arg1: T1, arg2: S) -> Tuple[T1, S]: x1: Union[List[S], List[Tuple[T1, S]]] y1: S reveal_type(Dummy[T1]().foo(x1, y1)) # N: Revealed type is "Union[S`-2, T1`-1]" x2: Union[List[T1], List[Tuple[T1, T1]]] y2: T1 reveal_type(Dummy[T1]().foo(x2, y2)) # N: Revealed type is "T1`-1" return arg1, arg2 [builtins fixtures/list.pyi] [case testOverloadingInferUnionReturnWithMixedTypevarsInnerMismatch] from typing import overload, Generic, TypeVar, List, Tuple, Union class A: pass class B(A): pass class C(A): pass T = TypeVar('T', bound=A) S = TypeVar('S') class Dummy(Generic[T]): @overload def foo(self, x: List[Tuple[T, S]], y: S) -> T: ... @overload def foo(self, x: List[S], y: S) -> S: ... def foo(self, x: Union[List[Tuple[T, S]], List[S]], y: S) -> Union[T, S]: ... T1 = TypeVar('T1', bound=A) def t_is_same_bound(arg1: T1, arg2: S) -> Tuple[T1, S]: # The arguments in the tuple are swapped x3: Union[List[S], List[Tuple[S, T1]]] y3: S Dummy[T1]().foo(x3, y3) # E: Cannot infer value of type parameter "S" of "foo" of "Dummy" \ # E: Argument 1 to "foo" of "Dummy" has incompatible type "Union[list[S], list[tuple[S, T1]]]"; expected "list[tuple[T1, Any]]" x4: Union[List[int], List[Tuple[C, int]]] y4: int reveal_type(Dummy[C]().foo(x4, y4)) # N: Revealed type is "Union[builtins.int, __main__.C]" Dummy[A]().foo(x4, y4) # E: Argument 1 to "foo" of "Dummy" has incompatible type "Union[list[int], list[tuple[C, int]]]"; expected "list[tuple[A, int]]" return arg1, arg2 [builtins fixtures/list.pyi] [case testOverloadingInferUnionReturnWithMixedTypevarsTighterBound] from typing import overload, Generic, TypeVar, List, Tuple, Union class A: pass class B(A): pass class C(A): pass T = TypeVar('T', bound=A) S = TypeVar('S') class Dummy(Generic[T]): @overload def foo(self, x: List[Tuple[T, S]], y: S) -> T: ... @overload def foo(self, x: List[S], y: S) -> S: ... def foo(self, x: Union[List[Tuple[T, S]], List[S]], y: S) -> Union[T, S]: ... T1 = TypeVar('T1', bound=B) def t_is_tighter_bound(arg1: T1, arg2: S) -> Tuple[T1, S]: x1: Union[List[S], List[Tuple[T1, S]]] y1: S reveal_type(Dummy[T1]().foo(x1, y1)) # N: Revealed type is "Union[S`-2, T1`-1]" x2: Union[List[T1], List[Tuple[T1, T1]]] y2: T1 reveal_type(Dummy[T1]().foo(x2, y2)) # N: Revealed type is "T1`-1" return arg1, arg2 [builtins fixtures/list.pyi] [case testOverloadingInferUnionReturnWithTypevarsAndValueRestrictions] from typing import overload, Generic, TypeVar, List, Tuple, Union class A: pass class B(A): pass class C(A): pass T = TypeVar('T', bound=A) S = TypeVar('S') class Dummy(Generic[T]): @overload def foo(self, x: List[Tuple[T, S]], y: S) -> T: ... @overload def foo(self, x: List[S], y: S) -> S: ... def foo(self, x: Union[List[Tuple[T, S]], List[S]], y: S) -> Union[T, S]: ... T3 = TypeVar('T3', B, C) def t_is_compatible_bound(arg1: T3, arg2: S) -> Tuple[T3, S]: x1: Union[List[S], List[Tuple[T3, S]]] y1: S reveal_type(Dummy[T3]().foo(x1, y1)) x2: Union[List[T3], List[Tuple[T3, T3]]] y2: T3 reveal_type(Dummy[T3]().foo(x2, y2)) return arg1, arg2 [builtins fixtures/list.pyi] [out] main:22: note: Revealed type is "Union[S`-2, __main__.B]" main:22: note: Revealed type is "Union[S`-2, __main__.C]" main:26: note: Revealed type is "__main__.B" main:26: note: Revealed type is "__main__.C" [case testOverloadInferUnionReturnWithInconsistentTypevarNames] from typing import overload, TypeVar, Union T = TypeVar('T') S = TypeVar('S') @overload def consistent(x: T, y: str) -> T: ... @overload def consistent(x: T, y: int) -> T: ... def consistent(x: T, y: Union[str, int]) -> T: return x @overload def inconsistent(x: T, y: str) -> T: ... @overload def inconsistent(x: S, y: int) -> S: ... def inconsistent(x: T, y: Union[str, int]) -> T: return x def test(x: T) -> T: y: Union[str, int] reveal_type(consistent(x, y)) # N: Revealed type is "T`-1" # On one hand, this overload is defined in a weird way; on the other, there's technically nothing wrong with it. inconsistent(x, y) return x [case testOverloadsAndNoneWithoutStrictOptional] # flags: --no-strict-optional from typing import overload, Optional @overload def f(x: None) -> int: ... @overload def f(x: object) -> str: ... def f(x): ... # We pretend strict-optional is enabled for overload definitions, # even in non-strict optional mode @overload def g(x: None) -> int: ... @overload def g(x: int) -> str: ... def g(x): ... # Calls are still checked normally though a: None b: int c: Optional[int] reveal_type(g(a)) # N: Revealed type is "builtins.int" reveal_type(g(b)) # N: Revealed type is "builtins.str" reveal_type(g(c)) # N: Revealed type is "builtins.str" [case testOverloadsAndNoneWithStrictOptional] from typing import overload, Optional @overload def f(x: None) -> int: ... @overload def f(x: object) -> str: ... def f(x): ... @overload def g(x: None) -> int: ... @overload def g(x: int) -> str: ... def g(x): ... a: None b: int c: Optional[int] reveal_type(g(a)) # N: Revealed type is "builtins.int" reveal_type(g(b)) # N: Revealed type is "builtins.str" reveal_type(g(c)) # N: Revealed type is "Union[builtins.str, builtins.int]" [case testOverloadsNoneAndTypeVarsWithNoStrictOptional] # flags: --no-strict-optional from typing import Callable, Iterable, TypeVar, overload, Optional T = TypeVar('T') S = TypeVar('S') @overload def mymap(func: None, seq: Iterable[T]) -> Iterable[T]: ... @overload def mymap(func: Callable[[T], S], seq: Iterable[T]) -> Iterable[S]: ... def mymap(*args): ... seq = [1, 2, 3] f1: Callable[[int], str] f2: None f3: Optional[Callable[[int], str]] reveal_type(mymap(f1, seq)) # N: Revealed type is "typing.Iterable[builtins.str]" reveal_type(mymap(f2, seq)) # N: Revealed type is "typing.Iterable[builtins.int]" reveal_type(mymap(f3, seq)) # N: Revealed type is "typing.Iterable[builtins.str]" [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsNoneAndTypeVarsWithStrictOptional] from typing import Callable, Iterable, TypeVar, overload, Optional T = TypeVar('T') S = TypeVar('S') @overload def mymap(func: None, seq: Iterable[T]) -> Iterable[T]: ... @overload def mymap(func: Callable[[T], S], seq: Iterable[T]) -> Iterable[S]: ... def mymap(*args): ... seq = [1, 2, 3] f1: Callable[[int], str] f2: None f3: Optional[Callable[[int], str]] reveal_type(mymap(f1, seq)) # N: Revealed type is "typing.Iterable[builtins.str]" reveal_type(mymap(f2, seq)) # N: Revealed type is "typing.Iterable[builtins.int]" reveal_type(mymap(f3, seq)) # N: Revealed type is "Union[typing.Iterable[builtins.str], typing.Iterable[builtins.int]]" [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsAndNoReturnNarrowTypeNoStrictOptional1] # flags: --no-strict-optional from typing import overload, Union, NoReturn @overload def narrow_int(x: str) -> NoReturn: ... @overload def narrow_int(x: int) -> int: ... def narrow_int(x: Union[int, str]) -> Union[int, NoReturn]: assert isinstance(x, int) return x def test_narrow_int() -> None: a: Union[int, str] if int(): a = narrow_int(a) reveal_type(a) # N: Revealed type is "builtins.int" b: int if int(): b = narrow_int(b) reveal_type(b) # N: Revealed type is "builtins.int" c: str if int(): c = narrow_int(c) reveal_type(c) # Note: branch is now dead, so no type is revealed # TODO: maybe we should make mypy report a warning instead? [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsAndNoReturnNarrowTypeWithStrictOptional1] from typing import overload, Union, NoReturn @overload def narrow_int(x: str) -> NoReturn: ... @overload def narrow_int(x: int) -> int: ... def narrow_int(x: Union[int, str]) -> Union[int, NoReturn]: assert isinstance(x, int) return x def test_narrow_int() -> None: a: Union[int, str] if int(): a = narrow_int(a) reveal_type(a) # N: Revealed type is "builtins.int" b: int if int(): b = narrow_int(b) reveal_type(b) # N: Revealed type is "builtins.int" c: str if int(): c = narrow_int(c) reveal_type(c) # Note: branch is now dead, so no type is revealed # TODO: maybe we should make mypy report a warning instead? [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsAndNoReturnNarrowTypeNoStrictOptional2] # flags: --no-strict-optional from typing import overload, Union, TypeVar, NoReturn, Optional T = TypeVar('T') @overload def narrow_none(x: None) -> NoReturn: ... @overload def narrow_none(x: T) -> T: ... def narrow_none(x: Optional[T]) -> Union[NoReturn, T]: assert x is not None return x def test_narrow_none() -> None: a: Optional[int] if int(): a = narrow_none(a) reveal_type(a) # N: Revealed type is "builtins.int" b: int if int(): b = narrow_none(b) reveal_type(b) # N: Revealed type is "builtins.int" c: None if int(): c = narrow_none(c) reveal_type(c) # Note: branch is now dead, so no type is revealed [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsAndNoReturnNarrowTypeWithStrictOptional2] from typing import overload, Union, TypeVar, NoReturn, Optional T = TypeVar('T') @overload def narrow_none(x: None) -> NoReturn: ... @overload def narrow_none(x: T) -> T: ... def narrow_none(x: Optional[T]) -> Union[NoReturn, T]: assert x is not None return x def test_narrow_none() -> None: a: Optional[int] if int(): a = narrow_none(a) reveal_type(a) # N: Revealed type is "builtins.int" b: int if int(): b = narrow_none(b) reveal_type(b) # N: Revealed type is "builtins.int" c: None if int(): c = narrow_none(c) reveal_type(c) # Branch is now dead [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsAndNoReturnNarrowTypeNoStrictOptional3] # flags: --no-strict-optional from typing import overload, TypeVar, NoReturn, Optional @overload def narrow_none_v2(x: None) -> NoReturn: ... @overload def narrow_none_v2(x: T) -> T: ... def narrow_none_v2(x: Optional[T]) -> T: assert x is not None return x def test_narrow_none_v2() -> None: a: Optional[int] if int(): a = narrow_none_v2(a) reveal_type(a) # N: Revealed type is "builtins.int" b: int if int(): b = narrow_none_v2(b) reveal_type(b) # N: Revealed type is "builtins.int" c: None if int(): c = narrow_none_v2(c) reveal_type(c) # Note: branch is now dead, so no type is revealed [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsAndNoReturnNarrowTypeWithStrictOptional3] from typing import overload, TypeVar, NoReturn, Optional @overload def narrow_none_v2(x: None) -> NoReturn: ... @overload def narrow_none_v2(x: T) -> T: ... def narrow_none_v2(x: Optional[T]) -> T: assert x is not None return x def test_narrow_none_v2() -> None: a: Optional[int] if int(): a = narrow_none_v2(a) reveal_type(a) # N: Revealed type is "builtins.int" b: int if int(): b = narrow_none_v2(b) reveal_type(b) # N: Revealed type is "builtins.int" c: None if int(): c = narrow_none_v2(c) reveal_type(c) # Note: branch is now dead, so no type is revealed [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsAndNoReturnNarrowWhenBlacklistingSubtype] from typing import TypeVar, NoReturn, Union, overload class Parent: ... class A(Parent): ... class B(Parent): ... T = TypeVar('T', bound=Parent) @overload def narrow_to_not_a(x: A) -> NoReturn: ... @overload def narrow_to_not_a(x: T) -> T: ... def narrow_to_not_a(x: T) -> Union[NoReturn, T]: assert not isinstance(x, A) return x def test() -> None: val: Union[A, B] if int(): val = narrow_to_not_a(val) reveal_type(val) # N: Revealed type is "__main__.B" val2: A if int(): val2 = narrow_to_not_a(val2) reveal_type(val2) # Branch now dead [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsAndNoReturnNarrowWhenBlacklistingSubtype2] from typing import TypeVar, NoReturn, Union, overload class Parent: ... class A(Parent): ... class B(Parent): ... T = TypeVar('T', bound=Parent) @overload def narrow_to_not_a_v2(x: A) -> NoReturn: ... @overload def narrow_to_not_a_v2(x: T) -> T: ... def narrow_to_not_a_v2(x: T) -> T: assert not isinstance(x, A) return x def test_v2(val: Union[A, B], val2: A) -> None: if int(): val = narrow_to_not_a_v2(val) reveal_type(val) # N: Revealed type is "__main__.B" if int(): val2 = narrow_to_not_a_v2(val2) reveal_type(val2) # Branch now dead [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadWithNonGenericDescriptor] from typing import overload, Any, Optional, Union class NumberAttribute: @overload def __get__(self, instance: None, owner: Any) -> 'NumberAttribute': ... @overload def __get__(self, instance: object, owner: Any) -> int: ... def __get__(self, instance: Optional[object], owner: Any) -> Union['NumberAttribute', int]: if instance is None: return self else: return 3 def foo(self) -> str: ... class MyModel: my_number = NumberAttribute() reveal_type(MyModel().my_number) # N: Revealed type is "builtins.int" MyModel().my_number.foo() # E: "int" has no attribute "foo" reveal_type(MyModel.my_number) # N: Revealed type is "__main__.NumberAttribute" reveal_type(MyModel.my_number.foo()) # N: Revealed type is "builtins.str" [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadWithNonGenericDescriptorLookalike] from typing import overload, Any, Optional, Union class FakeAttribute: @overload def dummy(self, instance: None, owner: Any) -> 'FakeAttribute': ... @overload def dummy(self, instance: object, owner: Any) -> int: ... def dummy(self, instance: Optional[object], owner: Any) -> Union['FakeAttribute', int]: ... [case testOverloadWithGenericDescriptor] from typing import overload, Any, Optional, TypeVar, Type, Union, Generic T = TypeVar('T') class NumberAttribute(Generic[T]): @overload def __get__(self, instance: None, owner: Type[T]) -> 'NumberAttribute[T]': ... @overload def __get__(self, instance: T, owner: Type[T]) -> int: ... def __get__(self, instance: Optional[T], owner: Type[T]) -> Union['NumberAttribute[T]', int]: if instance is None: return self else: return 3 def foo(self) -> str: ... class MyModel: my_number = NumberAttribute[MyModel]() reveal_type(MyModel().my_number) # N: Revealed type is "builtins.int" MyModel().my_number.foo() # E: "int" has no attribute "foo" reveal_type(MyModel.my_number) # N: Revealed type is "__main__.NumberAttribute[__main__.MyModel]" reveal_type(MyModel.my_number.foo()) # N: Revealed type is "builtins.str" reveal_type(NumberAttribute[MyModel]().__get__(None, MyModel)) # N: Revealed type is "__main__.NumberAttribute[__main__.MyModel]" reveal_type(NumberAttribute[str]().__get__(None, str)) # N: Revealed type is "__main__.NumberAttribute[builtins.str]" [builtins fixtures/isinstance.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadWithGenericDescriptorLookalike] from typing import overload, Any, Optional, TypeVar, Type, Union, Generic T = TypeVar('T') class FakeAttribute(Generic[T]): @overload def dummy(self, instance: None, owner: Type[T]) -> 'FakeAttribute[T]': ... @overload def dummy(self, instance: T, owner: Type[T]) -> int: ... def dummy(self, instance: Optional[T], owner: Type[T]) -> Union['FakeAttribute[T]', int]: ... [case testOverloadWithClassMethods] from typing import overload class Wrapper: @overload @classmethod def foo(cls, x: int) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass reveal_type(Wrapper.foo(3)) # N: Revealed type is "builtins.int" reveal_type(Wrapper.foo("foo")) # N: Revealed type is "builtins.str" [builtins fixtures/classmethod.pyi] [case testOverloadWithInconsistentClassMethods] from typing import overload class Wrapper1: @overload # E: Overload does not consistently use the "@classmethod" decorator on all function signatures. @classmethod def foo(cls, x: int) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... def foo(cls, x): pass class Wrapper2: @overload # E: Overload does not consistently use the "@classmethod" decorator on all function signatures. @classmethod def foo(cls, x: int) -> int: ... @overload def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass class Wrapper3: @overload # E: Overload does not consistently use the "@classmethod" decorator on all function signatures. def foo(cls, x: int) -> int: ... @overload def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass [builtins fixtures/classmethod.pyi] [case testOverloadWithSwappedDecorators] from typing import overload class Wrapper1: @classmethod @overload def foo(cls, x: int) -> int: ... @classmethod @overload def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass class Wrapper2: @classmethod @overload def foo(cls, x: int) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass class Wrapper3: @classmethod # E: Overload does not consistently use the "@classmethod" decorator on all function signatures. @overload def foo(cls, x: int) -> int: ... @overload def foo(cls, x: str) -> str: ... def foo(cls, x): pass reveal_type(Wrapper1.foo(3)) # N: Revealed type is "builtins.int" reveal_type(Wrapper2.foo(3)) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [case testOverloadFaultyClassMethodInheritance] from typing import overload class A: pass class B(A): pass class C(B): pass class Parent: @overload @classmethod def foo(cls, x: B) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass class BadChild(Parent): @overload # Fail @classmethod def foo(cls, x: C) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass class GoodChild(Parent): @overload @classmethod def foo(cls, x: A) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass [builtins fixtures/classmethod.pyi] [out] main:20: error: Signature of "foo" incompatible with supertype "Parent" main:20: note: Superclass: main:20: note: @overload main:20: note: @classmethod main:20: note: def foo(cls, x: B) -> int main:20: note: @overload main:20: note: @classmethod main:20: note: def foo(cls, x: str) -> str main:20: note: Subclass: main:20: note: @overload main:20: note: @classmethod main:20: note: def foo(cls, x: C) -> int main:20: note: @overload main:20: note: @classmethod main:20: note: def foo(cls, x: str) -> str [case testOverloadClassMethodMixingInheritance] from typing import overload class BadParent: @overload @classmethod def foo(cls, x: int) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass class BadChild(BadParent): @overload # Fail def foo(cls, x: int) -> int: ... @overload def foo(cls, x: str) -> str: ... def foo(cls, x): pass class GoodParent: @overload def foo(cls, x: int) -> int: ... @overload def foo(cls, x: str) -> str: ... def foo(cls, x): pass class GoodChild(GoodParent): @overload @classmethod def foo(cls, x: int) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x): pass [builtins fixtures/classmethod.pyi] [out] main:16: error: Signature of "foo" incompatible with supertype "BadParent" main:16: note: Superclass: main:16: note: @overload main:16: note: @classmethod main:16: note: def foo(cls, x: int) -> int main:16: note: @overload main:16: note: @classmethod main:16: note: def foo(cls, x: str) -> str main:16: note: Subclass: main:16: note: @overload main:16: note: def foo(cls, x: int) -> int main:16: note: @overload main:16: note: def foo(cls, x: str) -> str [case testOverloadClassMethodImplementation] from typing import overload, Union class Wrapper: @classmethod def other(cls) -> str: return "..." @overload @classmethod def foo(cls, x: int) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod # E: Overloaded function implementation cannot produce return type of signature 1 def foo(cls, x: Union[int, str]) -> str: reveal_type(cls) # N: Revealed type is "type[__main__.Wrapper]" reveal_type(cls.other()) # N: Revealed type is "builtins.str" return "..." [builtins fixtures/classmethod.pyi] [case testOverloadWithStaticMethods] from typing import overload class Wrapper: @overload @staticmethod def foo(x: int) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... @staticmethod def foo(x): pass reveal_type(Wrapper.foo(3)) # N: Revealed type is "builtins.int" reveal_type(Wrapper.foo("foo")) # N: Revealed type is "builtins.str" [builtins fixtures/staticmethod.pyi] [case testOverloadWithInconsistentStaticMethods] from typing import overload, Union class Wrapper1: @overload # E: Overload does not consistently use the "@staticmethod" decorator on all function signatures. @staticmethod def foo(x: int) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... def foo(x): pass class Wrapper2: @overload # E: Overload does not consistently use the "@staticmethod" decorator on all function signatures. @staticmethod def foo(x: int) -> int: ... @overload def foo(x: str) -> str: ... # E: Self argument missing for a non-static method (or an invalid type for self) @staticmethod def foo(x): pass class Wrapper3: @overload # E: Overload does not consistently use the "@staticmethod" decorator on all function signatures. @staticmethod def foo(x: int) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... def foo(x: Union[int, str]): pass # E: Self argument missing for a non-static method (or an invalid type for self) [builtins fixtures/staticmethod.pyi] [case testOverloadWithSwappedDecorators2] from typing import overload class Wrapper1: @staticmethod @overload def foo(x: int) -> int: ... @staticmethod @overload def foo(x: str) -> str: ... @staticmethod def foo(x): pass class Wrapper2: @staticmethod @overload def foo(x: int) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... @staticmethod def foo(x): pass class Wrapper3: @staticmethod # E: Overload does not consistently use the "@staticmethod" decorator on all function signatures. @overload def foo(x: int) -> int: ... @overload def foo(x: str) -> str: ... # E: Self argument missing for a non-static method (or an invalid type for self) @staticmethod def foo(x): pass reveal_type(Wrapper1.foo(3)) # N: Revealed type is "builtins.int" reveal_type(Wrapper2.foo(3)) # N: Revealed type is "builtins.int" [builtins fixtures/staticmethod.pyi] [case testOverloadFaultyStaticMethodInheritance] from typing import overload class A: pass class B(A): pass class C(B): pass class Parent: @overload @staticmethod def foo(x: B) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... @staticmethod def foo(x): pass class BadChild(Parent): @overload # Fail @staticmethod def foo(x: C) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... @staticmethod def foo(x): pass class GoodChild(Parent): @overload @staticmethod def foo(x: A) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... @staticmethod def foo(x): pass [builtins fixtures/staticmethod.pyi] [out] main:20: error: Signature of "foo" incompatible with supertype "Parent" main:20: note: Superclass: main:20: note: @overload main:20: note: @staticmethod main:20: note: def foo(x: B) -> int main:20: note: @overload main:20: note: @staticmethod main:20: note: def foo(x: str) -> str main:20: note: Subclass: main:20: note: @overload main:20: note: @staticmethod main:20: note: def foo(x: C) -> int main:20: note: @overload main:20: note: @staticmethod main:20: note: def foo(x: str) -> str [case testOverloadStaticMethodMixingInheritance] from typing import overload class BadParent: @overload @staticmethod def foo(x: int) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... @staticmethod def foo(x): pass class BadChild(BadParent): @overload # Fail def foo(self, x: int) -> int: ... @overload def foo(self, x: str) -> str: ... def foo(self, x): pass class GoodParent: @overload def foo(self, x: int) -> int: ... @overload def foo(self, x: str) -> str: ... def foo(self, x): pass class GoodChild(GoodParent): @overload @staticmethod def foo(x: int) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... @staticmethod def foo(x): pass [builtins fixtures/staticmethod.pyi] [out] main:16: error: Signature of "foo" incompatible with supertype "BadParent" main:16: note: Superclass: main:16: note: @overload main:16: note: @staticmethod main:16: note: def foo(x: int) -> int main:16: note: @overload main:16: note: @staticmethod main:16: note: def foo(x: str) -> str main:16: note: Subclass: main:16: note: @overload main:16: note: def foo(self, x: int) -> int main:16: note: @overload main:16: note: def foo(self, x: str) -> str [case testOverloadStaticMethodImplementation] from typing import overload, Union class Wrapper: @staticmethod def other() -> str: return "..." @overload @staticmethod def foo(x: int) -> int: ... @overload @staticmethod def foo(x: str) -> str: ... @staticmethod # E: Overloaded function implementation cannot produce return type of signature 1 def foo(x: Union[int, str]) -> str: return 3 # E: Incompatible return value type (got "int", expected "str") [builtins fixtures/staticmethod.pyi] [case testUnionMathOverloadingReturnsBestType] from typing import Union, overload @overload def f(x: Union[int, str]) -> int: ... @overload def f(x: object) -> object: ... def f(x): pass x: Union[int, str] reveal_type(f(x)) # N: Revealed type is "builtins.int" [out] [case testOverloadAndSelfTypes] from typing import overload, Union, TypeVar, Type T = TypeVar('T', bound='Parent') class Parent: @overload def foo(self: T, x: int) -> T: pass @overload def foo(self, x: str) -> str: pass def foo(self: T, x: Union[int, str]) -> Union[T, str]: reveal_type(self.bar()) # N: Revealed type is "builtins.str" return self def bar(self) -> str: pass class Child(Parent): def child_only(self) -> int: pass x: Union[int, str] reveal_type(Parent().foo(3)) # N: Revealed type is "__main__.Parent" reveal_type(Child().foo(3)) # N: Revealed type is "__main__.Child" reveal_type(Child().foo("...")) # N: Revealed type is "builtins.str" reveal_type(Child().foo(x)) # N: Revealed type is "Union[__main__.Child, builtins.str]" reveal_type(Child().foo(3).child_only()) # N: Revealed type is "builtins.int" [case testOverloadAndSelfTypesGenericNoOverlap] from typing import Generic, TypeVar, Any, overload, Self, Union T = TypeVar("T") class C(Generic[T]): @overload def get(self, obj: None) -> Self: ... @overload def get(self, obj: Any) -> T: ... def get(self, obj: Union[Any, None]) -> Union[T, Self]: return self class D(C[int]): ... d: D reveal_type(d.get(None)) # N: Revealed type is "__main__.D" reveal_type(d.get("whatever")) # N: Revealed type is "builtins.int" [case testOverloadAndClassTypes] from typing import overload, Union, TypeVar, Type T = TypeVar('T', bound='Parent') class Parent: @overload @classmethod def foo(cls: Type[T], x: int) -> Type[T]: pass @overload @classmethod def foo(cls, x: str) -> str: pass @classmethod def foo(cls: Type[T], x: Union[int, str]) -> Union[Type[T], str]: reveal_type(cls.bar()) # N: Revealed type is "builtins.str" return cls @classmethod def bar(cls) -> str: pass class Child(Parent): def child_only(self) -> int: pass x: Union[int, str] reveal_type(Parent.foo(3)) # N: Revealed type is "type[__main__.Parent]" reveal_type(Child.foo(3)) # N: Revealed type is "type[__main__.Child]" reveal_type(Child.foo("...")) # N: Revealed type is "builtins.str" reveal_type(Child.foo(x)) # N: Revealed type is "Union[type[__main__.Child], builtins.str]" reveal_type(Child.foo(3)().child_only()) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [case testOptionalIsNotAUnionIfNoStrictOverload] # flags: --no-strict-optional from typing import Optional, overload class B: pass class C(B): pass @overload def rp(x: C) -> C: ... @overload def rp(x: B) -> B: ... def rp(x): pass x: Optional[C] reveal_type(rp(x)) # N: Revealed type is "__main__.C" [out] [case testUnionMathTrickyOverload1] from typing import Union, overload @overload def f(x: int, y: int) -> int: ... @overload def f(x: object, y: str) -> str: ... def f(x): pass x: Union[int, str] y: Union[int, str] f(x, y) [out] main:12: error: Argument 1 to "f" has incompatible type "Union[int, str]"; expected "int" main:12: error: Argument 2 to "f" has incompatible type "Union[int, str]"; expected "int" [case testUnionMathTrickyOverload2] from typing import overload, Union, Any class C: def f(self, other: C) -> C: ... class D(C): @overload def f(self, other: D) -> D: ... @overload def f(self, other: C) -> C: ... def f(self, other): ... x: D y: Union[D, Any] reveal_type(x.f(y)) # N: Revealed type is "Union[__main__.D, Any]" [out] [case testManyUnionsInOverload] from typing import overload, TypeVar, Union T = TypeVar('T') @overload def f(x: int, y: object, z: object, t: object, u: object, w: object, v: object, s: object) -> int: ... @overload def f(x: str, y: object, z: object, t: object, u: object, w: object, v: object, s: object) -> str: ... @overload def f(x: T, y: object, z: object, t: object, u: object, w: object, v: object, s: object) -> T: ... def f(*args, **kwargs): pass class A: pass class B: pass x: Union[int, str, A, B] y = f(x, x, x, x, x, x, x, x) # 8 args reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str, __main__.A, __main__.B]" [builtins fixtures/dict.pyi] [out] [case testOverloadsWithNoneComingSecondAreAlwaysFlaggedInNoStrictOptional] # flags: --no-strict-optional from typing import overload @overload def none_first(x: None) -> None: ... @overload def none_first(x: int) -> int: ... def none_first(x: int) -> int: return x @overload def none_second(x: int) -> int: ... @overload def none_second(x: None) -> None: ... # E: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader def none_second(x: int) -> int: return x [case testOverloadsWithNoneComingSecondIsOkInStrictOptional] from typing import overload, Optional @overload def none_first(x: None) -> None: ... @overload def none_first(x: int) -> int: ... def none_first(x: Optional[int]) -> Optional[int]: return x @overload def none_second(x: int) -> int: ... @overload def none_second(x: None) -> None: ... def none_second(x: Optional[int]) -> Optional[int]: return x @overload def none_loose_impl(x: None) -> None: ... @overload def none_loose_impl(x: int) -> int: ... def none_loose_impl(x: int) -> int: return x [out] main:21: error: Overloaded function implementation does not accept all possible arguments of signature 1 main:21: error: Overloaded function implementation cannot produce return type of signature 1 [case testTooManyUnionsException] from typing import overload, Union @overload def f(*args: int) -> int: ... @overload def f(*args: str) -> str: ... def f(*args): pass x: Union[int, str] f(x, x, x, x, x, x, x, x) [builtins fixtures/tuple.pyi] [out] main:11: error: Not all union combinations were tried because there are too many unions main:11: error: Argument 1 to "f" has incompatible type "Union[int, str]"; expected "int" main:11: error: Argument 2 to "f" has incompatible type "Union[int, str]"; expected "int" main:11: error: Argument 3 to "f" has incompatible type "Union[int, str]"; expected "int" main:11: error: Argument 4 to "f" has incompatible type "Union[int, str]"; expected "int" main:11: error: Argument 5 to "f" has incompatible type "Union[int, str]"; expected "int" main:11: error: Argument 6 to "f" has incompatible type "Union[int, str]"; expected "int" main:11: error: Argument 7 to "f" has incompatible type "Union[int, str]"; expected "int" main:11: error: Argument 8 to "f" has incompatible type "Union[int, str]"; expected "int" [case testSafeDunderOverlapInSubclass] from typing import overload class A: def __add__(self, x : 'A') -> 'A': ... class B(A): @overload def __add__(self, x : 'B') -> 'B': ... @overload def __add__(self, x : 'A') -> 'A' : ... def __add__(self, x): pass [out] [case testUnsafeDunderOverlapInSubclass] from typing import overload class A: def __add__(self, x : 'A') -> 'A': if isinstance(x, A): return A() else: return NotImplemented # This is unsafe override because of the problem below class B(A): @overload # Fail def __add__(self, x : 'Other') -> 'B' : ... @overload def __add__(self, x : 'A') -> 'A': ... def __add__(self, x): if isinstance(x, Other): return B() elif isinstance(x, A): return A() else: return NotImplemented class Other: def __radd__(self, x: 'A') -> 'Other': if isinstance(x, A): return Other() else: return NotImplemented actually_b: A = B() reveal_type(actually_b + Other()) # Note # Runtime type is B, this is why we report the error on overriding. [builtins fixtures/isinstance.pyi] [out] main:12: error: Signature of "__add__" incompatible with supertype "A" main:12: note: Superclass: main:12: note: def __add__(self, A, /) -> A main:12: note: Subclass: main:12: note: @overload main:12: note: def __add__(self, Other, /) -> B main:12: note: @overload main:12: note: def __add__(self, A, /) -> A main:12: note: Overloaded operator methods can't have wider argument types in overrides main:32: note: Revealed type is "__main__.Other" [case testOverloadErrorMessageManyMatches] from typing import overload class A: pass class B: pass class C: pass class D: pass @overload def f(x: A) -> None: ... @overload def f(x: B) -> None: ... @overload def f(x: C) -> None: ... @overload def f(x: D) -> None: ... @overload def f(x: int, y: int) -> None: ... def f(*args): pass f(3) # E: No overload variant of "f" matches argument type "int" \ # N: Possible overload variants: \ # N: def f(x: A) -> None \ # N: def f(x: B) -> None \ # N: def f(x: C) -> None \ # N: def f(x: D) -> None \ # N: def f(x: int, y: int) -> None @overload def g(x: A) -> None: ... @overload def g(x: B) -> None: ... @overload def g(x: C) -> None: ... def g(*args): pass g(3) # E: No overload variant of "g" matches argument type "int" \ # N: Possible overload variants: \ # N: def g(x: A) -> None \ # N: def g(x: B) -> None \ # N: def g(x: C) -> None [builtins fixtures/tuple.pyi] [case testOverloadedInIter] from lib import f, g for fun in [f, g]: reveal_type(fun) # N: Revealed type is "Overload(def (x: builtins.int) -> builtins.str, def (x: builtins.str) -> builtins.int)" [file lib.pyi] from typing import overload @overload def f(x: int) -> str: ... @overload def f(x: str) -> int: ... @overload def g(x: int) -> str: ... @overload def g(x: str) -> int: ... [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] [out] [case testNestedOverloadsNoCrash] from typing import overload def f() -> None: @overload def g(x: str) -> str: ... @overload def g(x: int) -> int: ... def g(x): pass g(str()) [out] [case testNestedOverloadsTypeVar] from typing import overload, TypeVar T = TypeVar('T') def f() -> None: @overload def g(x: str) -> str: ... @overload def g(x: T, y: int) -> T: ... def g(x): pass g(str(), str()) # E: No overload variant of "g" matches argument types "str", "str" \ # N: Possible overload variants: \ # N: def g(x: str) -> str \ # N: def [T] g(x: T, y: int) -> T reveal_type(g(str(), int())) # N: Revealed type is "builtins.str" [out] [case testNestedOverloadsTypeVarOverlap] from typing import overload, TypeVar T = TypeVar('T') def f() -> None: @overload def g(x: str) -> int: ... @overload def g(x: T) -> T: ... def g(x): pass [out] [case testNestedOverloadsMutuallyRecursive] from typing import overload, TypeVar, Dict, Any class C: ... T = TypeVar('T') def f() -> None: @overload def g() -> None: ... @overload def g(x: T) -> Dict[int, T]: ... def g(*args, **kwargs) -> Any: reveal_type(h(C())) # N: Revealed type is "builtins.dict[builtins.str, __main__.C]" @overload def h() -> None: ... @overload def h(x: T) -> Dict[str, T]: ... def h(*args, **kwargs) -> Any: reveal_type(g(C())) # N: Revealed type is "builtins.dict[builtins.int, __main__.C]" [builtins fixtures/dict.pyi] [out] [case testOverloadConstrainedTypevarNotShadowingAny] from lib import attr from typing import Any reveal_type(attr(1)) # N: Revealed type is "builtins.int" reveal_type(attr("hi")) # N: Revealed type is "builtins.int" x: Any reveal_type(attr(x)) # N: Revealed type is "Any" attr("hi", 1) # E: No overload variant of "attr" matches argument types "str", "int" \ # N: Possible overload variants: \ # N: def [T: (int, float)] attr(default: T, blah: int = ...) -> T \ # N: def attr(default: Any = ...) -> int [file lib.pyi] from typing import overload, Any, TypeVar T = TypeVar('T', int, float) @overload def attr(default: T, blah: int = ...) -> T: ... @overload def attr(default: Any = ...) -> int: ... [out] [case testOverloadBoundedTypevarNotShadowingAny] from lib import attr from typing import Any reveal_type(attr(1)) # N: Revealed type is "builtins.int" reveal_type(attr("hi")) # N: Revealed type is "builtins.int" x: Any reveal_type(attr(x)) # N: Revealed type is "Any" attr("hi", 1) # E: No overload variant of "attr" matches argument types "str", "int" \ # N: Possible overload variants: \ # N: def [T: int] attr(default: T = ..., blah: int = ...) -> T \ # N: def attr(default: Any = ...) -> int [file lib.pyi] from typing import overload, TypeVar, Any T = TypeVar('T', bound=int) @overload def attr(default: T = ..., blah: int = ...) -> T: ... @overload def attr(default: Any = ...) -> int: ... [out] [case testAnyIsOKAsFallbackInOverloads] import stub [file stub.pyi] from typing import TypeVar, Any, overload T = TypeVar('T') @overload def foo(x: T) -> T: ... @overload def foo(x: Any) -> Any: ... @overload def bar(x: T) -> T: ... @overload def bar(x: Any) -> int: ... [out] [case testOverloadsIgnorePromotions] from typing import overload, List, Union, _promote class Parent: pass class Child(Parent): pass children: List[Child] parents: List[Parent] @overload def f(x: Child) -> List[Child]: pass @overload def f(x: Parent) -> List[Parent]: pass def f(x: Union[Child, Parent]) -> Union[List[Child], List[Parent]]: if isinstance(x, Child): reveal_type(x) # N: Revealed type is "__main__.Child" return children else: reveal_type(x) # N: Revealed type is "__main__.Parent" return parents ints: List[int] floats: List[float] @overload def g(x: int) -> List[int]: pass @overload def g(x: float) -> List[float]: pass def g(x: Union[int, float]) -> Union[List[int], List[float]]: if isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" return ints else: reveal_type(x) # N: Revealed type is "builtins.float" return floats [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] [case testOverloadsTypesAndUnions] from typing import overload, Type, Union class A: pass class B: pass @overload def f(x: Type[A]) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f(x: Union[Type[A], Type[B]]) -> str: ... def f(x: Union[Type[A], Type[B]]) -> Union[int, str]: return 1 [case testBadOverloadProbableMatch] from typing import overload, List, Type class Other: pass @overload def multiple_plausible(x: int) -> int: ... @overload def multiple_plausible(x: str) -> str: ... def multiple_plausible(x): pass @overload def single_plausible(x: Type[int]) -> int: ... @overload def single_plausible(x: List[str]) -> str: ... def single_plausible(x): pass a = multiple_plausible(Other()) # E: No overload variant of "multiple_plausible" matches argument type "Other" \ # N: Possible overload variants: \ # N: def multiple_plausible(x: int) -> int \ # N: def multiple_plausible(x: str) -> str reveal_type(a) # N: Revealed type is "Any" b = single_plausible(Other) # E: Argument 1 to "single_plausible" has incompatible type "type[Other]"; expected "type[int]" reveal_type(b) # N: Revealed type is "builtins.int" c = single_plausible([Other()]) # E: List item 0 has incompatible type "Other"; expected "str" reveal_type(c) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [case testDisallowUntypedDecoratorsOverload] # flags: --disallow-untyped-decorators from typing import Any, Callable, overload, TypeVar F = TypeVar('F', bound=Callable[..., Any]) @overload def dec(x: F) -> F: ... @overload def dec(x: str) -> Callable[[F], F]: ... def dec(x) -> Any: pass @dec def f(name: str) -> int: return 0 @dec('abc') def g(name: str) -> int: return 0 reveal_type(f) # N: Revealed type is "def (name: builtins.str) -> builtins.int" reveal_type(g) # N: Revealed type is "def (name: builtins.str) -> builtins.int" [case testDisallowUntypedDecoratorsOverloadDunderCall] # flags: --disallow-untyped-decorators from typing import Any, Callable, overload, TypeVar F = TypeVar('F', bound=Callable[..., Any]) class Dec: @overload def __call__(self, x: F) -> F: ... @overload def __call__(self, x: str) -> Callable[[F], F]: ... def __call__(self, x) -> Any: pass dec = Dec() @dec def f(name: str) -> int: return 0 @dec('abc') def g(name: str) -> int: return 0 reveal_type(f) # N: Revealed type is "def (name: builtins.str) -> builtins.int" reveal_type(g) # N: Revealed type is "def (name: builtins.str) -> builtins.int" [case testOverloadBadArgumentsInferredToAny1] from typing import Union, Any, overload def bar(x: int) -> Union[int, Any]: ... @overload def foo(x: str) -> None: ... @overload def foo(x: int) -> None: ... def foo(x) -> None: pass foo(bar('lol')) # E: Argument 1 to "bar" has incompatible type "str"; expected "int" [case testOverloadBadArgumentsInferredToAny2] from typing import Union, Iterable, Tuple, TypeVar, Generic, overload, Any class A: def foo(self) -> Iterable[int]: pass def bar(x: int) -> Union[A, int]: ... _T = TypeVar('_T') @overload def foo() -> None: ... @overload def foo(iterable: Iterable[_T]) -> None: ... def foo(iterable = None) -> None: pass foo(bar('lol').foo()) # E: Item "int" of "Union[A, int]" has no attribute "foo" \ # E: Argument 1 to "bar" has incompatible type "str"; expected "int" [case testOverloadInferringArgumentsUsingContext1] from typing import Optional, List, overload, TypeVar T = TypeVar('T') def g(x: Optional[T] = None) -> List[T]: ... @overload def f(x: int) -> int: ... @overload def f(x: List[int]) -> List[int]: ... def f(x): pass reveal_type(f(g())) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testOverloadInferringArgumentsUsingContext2-skip] # TODO: Overloads only use outer context to infer type variables in a given overload variant, # but never use outer context to _choose_ a better overload in ambiguous situations # like empty containers or multiple inheritance, instead just always choosing the first one. from typing import Optional, List, overload, TypeVar T = TypeVar('T') @overload def g(x: List[str]) -> List[str]: ... @overload def g(x: List[int]) -> List[int]: ... def g(x): pass @overload def f(x: int) -> int: ... @overload def f(x: List[int]) -> List[int]: ... def f(x): pass reveal_type(f(g([]))) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testOverloadDeferredNode] from typing import Callable, TypeVar, Generic, Any, overload _S = TypeVar('_S') _T = TypeVar('_T') _R = TypeVar('_R') @overload def partial(__func: Callable[[_T], _S], __arg: _T) -> Callable[[], _S]: ... @overload def partial(__func: Callable[[_T, _S], _S], __arg: _T) -> Callable[[_S], _R]: ... def partial(*args: Any) -> Any: pass def f(f: Callable[[int], int]) -> None: pass def dec(f: Callable[[_S, _T], _R]) -> Callable[[_S, _T], _R]: pass def asdf() -> None: f(partial(lol, 0)) @dec def lol(x: int, y: int) -> int: pass [builtins fixtures/tuple.pyi] [case testVeryBrokenOverload] import lib reveal_type(lib.func) [file lib.pyi] @overload def func(x: int) -> int: ... def func(x): return x [out] tmp/lib.pyi:1: error: Name "overload" is not defined tmp/lib.pyi:4: error: Name "func" already defined on line 1 main:2: note: Revealed type is "Any" -- Order of errors is different [case testVeryBrokenOverload2] import lib reveal_type(lib.func) [file lib.pyi] @overload def func(x: int) -> int: ... @overload def func(x: str) -> str: ... [out] tmp/lib.pyi:1: error: Name "overload" is not defined tmp/lib.pyi:3: error: Name "func" already defined on line 1 tmp/lib.pyi:3: error: Name "overload" is not defined main:3: note: Revealed type is "Any" [case testLiteralSubtypeOverlap] from typing import Literal, overload class MyInt(int): ... # Strictly speaking we can't prove this is unsafe (this depends on the implementation), # but such APIs seem like an anti-pattern anyways. @overload def foo(x: Literal[0]) -> None: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def foo(x: MyInt) -> int: ... def foo(x): ... [builtins fixtures/tuple.pyi] [case testOverloadedToGeneric] from typing import TypeVar, Callable, NewType, overload, Union # int in our stubs isn't overloaded class fakeint: @overload def __init__(self, x: Union[str, bytes] = ...) -> None: ... @overload def __init__(self, x: Union[str, bytes], base: int) -> None: ... def __init__(self, *args) -> None: pass # type: ignore U = TypeVar('U') V = TypeVar('V') W = TypeVar('W') def compose(f: Callable[[U], V], g: Callable[[W], U]) -> Callable[[W], V]: return lambda x: f(g(x)) ID = NewType("ID", fakeint) compose(ID, fakeint)("test") reveal_type(compose(ID, fakeint)) # N: Revealed type is "def (Union[builtins.str, builtins.bytes]) -> __main__.ID" [builtins fixtures/tuple.pyi] [case testOverloadTwoTypeArgs] from typing import Generic, overload, TypeVar, Any T1 = TypeVar("T1") T2 = TypeVar("T2") class A: ... class B: ... class G(Generic[T1, T2]): ... @overload def f1(g: G[A, A]) -> A: ... @overload def f1(g: G[A, B]) -> B: ... def f1(g: Any) -> Any: ... @overload def f2(g: G[A, Any]) -> A: ... @overload def f2(g: G[A, B], x: int = ...) -> B: ... def f2(g: Any, x: int = ...) -> Any: ... [case testOverloadTypeVsCallable] from typing import TypeVar, Type, Callable, Any, overload, Optional class Foo: def __init__(self, **kwargs: Any): pass _T = TypeVar('_T') @overload def register(cls: Type[_T]) -> int: ... @overload def register(cls: Callable[..., _T]) -> Optional[int]: ... def register(cls: Any) -> Any: return None x = register(Foo) reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [case testOverloadWithObjectDecorator] from typing import Any, Callable, Union, overload class A: def __call__(self, *arg, **kwargs) -> None: ... def dec_a(f: Callable[..., Any]) -> A: return A() @overload def f_a(arg: int) -> None: ... @overload def f_a(arg: str) -> None: ... @dec_a def f_a(arg): ... class B: def __call__(self, arg: Union[int, str]) -> None: ... def dec_b(f: Callable[..., Any]) -> B: return B() @overload def f_b(arg: int) -> None: ... @overload def f_b(arg: str) -> None: ... @dec_b def f_b(arg): ... class C: def __call__(self, arg: int) -> None: ... def dec_c(f: Callable[..., Any]) -> C: return C() @overload def f_c(arg: int) -> None: ... @overload def f_c(arg: str) -> None: ... @dec_c # E: Overloaded function implementation does not accept all possible arguments of signature 2 def f_c(arg): ... [builtins fixtures/dict.pyi] [case testOverloadWithErrorDecorator] from typing import Any, Callable, TypeVar, overload def dec_d(f: Callable[..., Any]) -> int: ... @overload def f_d(arg: int) -> None: ... @overload def f_d(arg: str) -> None: ... @dec_d # E: "int" not callable def f_d(arg): ... Bad1 = TypeVar('Good') # type: ignore def dec_e(f: Bad1) -> Bad1: ... # type: ignore @overload def f_e(arg: int) -> None: ... @overload def f_e(arg: str) -> None: ... @dec_e # E: Bad1? not callable def f_e(arg): ... class Bad2: def __getattr__(self, attr): # __getattr__ is not called for implicit `__call__` if attr == "__call__": return lambda *a, **kw: print(a, kw) raise AttributeError @overload def f_f(arg: int) -> None: ... @overload def f_f(arg: str) -> None: ... @Bad2() # E: "Bad2" not callable def f_f(arg): ... [builtins fixtures/dict.pyi] [case testOverloadIfBasic] # flags: --always-true True --always-false False from typing import overload class A: ... class B: ... class C: ... class D: ... # ----- # Test basic overload merging # ----- @overload def f1(g: A) -> A: ... if True: @overload def f1(g: B) -> B: ... def f1(g): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # N: Revealed type is "__main__.B" @overload def f2(g: A) -> A: ... @overload def f2(g: B) -> B: ... if False: @overload def f2(g: C) -> C: ... def f2(g): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(C())) # E: No overload variant of "f2" matches argument type "C" \ # N: Possible overload variants: \ # N: def f2(g: A) -> A \ # N: def f2(g: B) -> B \ # N: Revealed type is "Any" @overload def f3(g: A) -> A: ... @overload def f3(g: B) -> B: ... if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f3(g: C) -> C: ... def f3(g): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" reveal_type(f3(C())) # E: No overload variant of "f3" matches argument type "C" \ # N: Possible overload variants: \ # N: def f3(g: A) -> A \ # N: def f3(g: B) -> B \ # N: Revealed type is "Any" if True: @overload def f4(g: A) -> A: ... if True: @overload def f4(g: B) -> B: ... @overload def f4(g: C) -> C: ... def f4(g): ... reveal_type(f4(A())) # N: Revealed type is "__main__.A" reveal_type(f4(B())) # N: Revealed type is "__main__.B" reveal_type(f4(C())) # N: Revealed type is "__main__.C" if True: @overload def f5(g: A) -> A: ... @overload def f5(g: B) -> B: ... if True: @overload def f5(g: C) -> C: ... @overload def f5(g: D) -> D: ... def f5(g): ... reveal_type(f5(A())) # N: Revealed type is "__main__.A" reveal_type(f5(B())) # N: Revealed type is "__main__.B" reveal_type(f5(C())) # N: Revealed type is "__main__.C" reveal_type(f5(D())) # N: Revealed type is "__main__.D" [case testOverloadIfSysVersion] # flags: --python-version 3.9 from typing import overload import sys class A: ... class B: ... class C: ... # ----- # "Real" world example # Test overload merging for sys.version_info # ----- @overload def f1(g: A) -> A: ... if sys.version_info >= (3, 9): @overload def f1(g: B) -> B: ... def f1(g): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # N: Revealed type is "__main__.B" @overload def f2(g: A) -> A: ... @overload def f2(g: B) -> B: ... if sys.version_info >= (3, 10): @overload def f2(g: C) -> C: ... def f2(g): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(C())) # E: No overload variant of "f2" matches argument type "C" \ # N: Possible overload variants: \ # N: def f2(g: A) -> A \ # N: def f2(g: B) -> B \ # N: Revealed type is "Any" [builtins fixtures/ops.pyi] [case testOverloadIfMerging] # flags: --always-true True from typing import overload class A: ... class B: ... class C: ... # ----- # Test overload merging # ----- @overload def f1(g: A) -> A: ... if True: # Some comment @overload def f1(g: B) -> B: ... def f1(g): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # N: Revealed type is "__main__.B" @overload def f2(g: A) -> A: ... if True: @overload def f2(g: bytes) -> B: ... @overload def f2(g: B) -> C: ... def f2(g): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(B())) # N: Revealed type is "__main__.C" @overload def f3(g: A) -> A: ... @overload def f3(g: B) -> B: ... if True: def f3(g): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" reveal_type(f3(B())) # N: Revealed type is "__main__.B" if True: @overload def f4(g: A) -> A: ... @overload def f4(g: B) -> B: ... def f4(g): ... reveal_type(f4(A())) # N: Revealed type is "__main__.A" reveal_type(f4(B())) # N: Revealed type is "__main__.B" if True: # Some comment @overload def f5(g: A) -> A: ... @overload def f5(g: B) -> B: ... def f5(g): ... reveal_type(f5(A())) # N: Revealed type is "__main__.A" reveal_type(f5(B())) # N: Revealed type is "__main__.B" [case testOverloadIfNotMerging] # flags: --always-true True from typing import overload class A: ... class B: ... class C: ... # ----- # Don't merge if IfStmt contains nodes other than overloads # ----- @overload # E: An overloaded function outside a stub file must have an implementation def f1(g: A) -> A: ... @overload def f1(g: B) -> B: ... if True: @overload # E: Name "f1" already defined on line 12 \ # E: Single overload definition, multiple required def f1(g: C) -> C: ... pass # Some other action def f1(g): ... # E: Name "f1" already defined on line 12 reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(C())) # E: No overload variant of "f1" matches argument type "C" \ # N: Possible overload variants: \ # N: def f1(g: A) -> A \ # N: def f1(g: B) -> B \ # N: Revealed type is "Any" if True: pass # Some other action @overload # E: Single overload definition, multiple required def f2(g: A) -> A: ... @overload # E: Name "f2" already defined on line 26 def f2(g: B) -> B: ... @overload def f2(g: C) -> C: ... def f2(g): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(C())) # N: Revealed type is "__main__.A" \ # E: Argument 1 to "f2" has incompatible type "C"; expected "A" [case testOverloadIfOldStyle] # flags: --always-false var_false --always-true var_true from typing import overload class A: ... class B: ... # ----- # Test old style to make sure it still works # ----- var_true = True var_false = False if var_false: @overload def f1(g: A) -> A: ... @overload def f1(g: B) -> B: ... def f1(g): ... elif var_true: @overload def f1(g: A) -> A: ... @overload def f1(g: B) -> B: ... def f1(g): ... else: @overload def f1(g: A) -> A: ... @overload def f1(g: B) -> B: ... def f1(g): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # N: Revealed type is "__main__.B" [case testOverloadIfElse] # flags: --always-true True --always-false False from typing import overload class A: ... class B: ... class C: ... class D: ... # ----- # Match the first always-true block # ----- @overload def f1(x: A) -> A: ... if True: @overload def f1(x: B) -> B: ... elif False: @overload def f1(x: C) -> C: ... else: @overload def f1(x: D) -> D: ... def f1(x): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # N: Revealed type is "__main__.B" reveal_type(f1(C())) # E: No overload variant of "f1" matches argument type "C" \ # N: Possible overload variants: \ # N: def f1(x: A) -> A \ # N: def f1(x: B) -> B \ # N: Revealed type is "Any" @overload def f2(x: A) -> A: ... if False: @overload def f2(x: B) -> B: ... elif True: @overload def f2(x: C) -> C: ... else: @overload def f2(x: D) -> D: ... def f2(x): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(B())) # E: No overload variant of "f2" matches argument type "B" \ # N: Possible overload variants: \ # N: def f2(x: A) -> A \ # N: def f2(x: C) -> C \ # N: Revealed type is "Any" reveal_type(f2(C())) # N: Revealed type is "__main__.C" @overload def f3(x: A) -> A: ... if False: @overload def f3(x: B) -> B: ... elif False: @overload def f3(x: C) -> C: ... else: @overload def f3(x: D) -> D: ... def f3(x): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" reveal_type(f3(C())) # E: No overload variant of "f3" matches argument type "C" \ # N: Possible overload variants: \ # N: def f3(x: A) -> A \ # N: def f3(x: D) -> D \ # N: Revealed type is "Any" reveal_type(f3(D())) # N: Revealed type is "__main__.D" [case testOverloadIfElse2] # flags: --always-true True from typing import overload class A: ... class B: ... class C: ... class D: ... # ----- # Match the first always-true block # Don't merge overloads if can't be certain about execution of block # ----- @overload def f1(x: A) -> A: ... if True: @overload def f1(x: B) -> B: ... else: @overload def f1(x: D) -> D: ... def f1(x): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # N: Revealed type is "__main__.B" reveal_type(f1(D())) # E: No overload variant of "f1" matches argument type "D" \ # N: Possible overload variants: \ # N: def f1(x: A) -> A \ # N: def f1(x: B) -> B \ # N: Revealed type is "Any" @overload def f2(x: A) -> A: ... if True: @overload def f2(x: B) -> B: ... elif maybe_true: @overload def f2(x: C) -> C: ... else: @overload def f2(x: D) -> D: ... def f2(x): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(B())) # N: Revealed type is "__main__.B" reveal_type(f2(C())) # E: No overload variant of "f2" matches argument type "C" \ # N: Possible overload variants: \ # N: def f2(x: A) -> A \ # N: def f2(x: B) -> B \ # N: Revealed type is "Any" @overload # E: Single overload definition, multiple required def f3(x: A) -> A: ... if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f3(x: B) -> B: ... elif True: @overload def f3(x: C) -> C: ... else: @overload def f3(x: D) -> D: ... def f3(x): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" reveal_type(f3(B())) # E: No overload variant of "f3" matches argument type "B" \ # N: Possible overload variant: \ # N: def f3(x: A) -> A \ # N: Revealed type is "Any" @overload # E: Single overload definition, multiple required def f4(x: A) -> A: ... if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f4(x: B) -> B: ... else: @overload def f4(x: D) -> D: ... def f4(x): ... reveal_type(f4(A())) # N: Revealed type is "__main__.A" reveal_type(f4(B())) # E: No overload variant of "f4" matches argument type "B" \ # N: Possible overload variant: \ # N: def f4(x: A) -> A \ # N: Revealed type is "Any" [case testOverloadIfElse3] # flags: --always-false False from typing import overload class A: ... class B: ... class C: ... class D: ... class E: ... # ----- # Match the first always-true block # Don't merge overloads if can't be certain about execution of block # ----- @overload def f1(x: A) -> A: ... if False: @overload def f1(x: B) -> B: ... else: @overload def f1(x: D) -> D: ... def f1(x): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # E: No overload variant of "f1" matches argument type "B" \ # N: Possible overload variants: \ # N: def f1(x: A) -> A \ # N: def f1(x: D) -> D \ # N: Revealed type is "Any" reveal_type(f1(D())) # N: Revealed type is "__main__.D" @overload # E: Single overload definition, multiple required def f2(x: A) -> A: ... if False: @overload def f2(x: B) -> B: ... elif maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f2(x: C) -> C: ... else: @overload def f2(x: D) -> D: ... def f2(x): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(C())) # E: No overload variant of "f2" matches argument type "C" \ # N: Possible overload variant: \ # N: def f2(x: A) -> A \ # N: Revealed type is "Any" @overload # E: Single overload definition, multiple required def f3(x: A) -> A: ... if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f3(x: B) -> B: ... elif False: @overload def f3(x: C) -> C: ... else: @overload def f3(x: D) -> D: ... def f3(x): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" reveal_type(f3(B())) # E: No overload variant of "f3" matches argument type "B" \ # N: Possible overload variant: \ # N: def f3(x: A) -> A \ # N: Revealed type is "Any" def g(bool_var: bool) -> None: @overload def f4(x: A) -> A: ... if bool_var: # E: Condition can't be inferred, unable to merge overloads @overload def f4(x: B) -> B: ... elif maybe_true: # E: Name "maybe_true" is not defined # No 'Condition cannot be inferred' error here since it's already # emitted on the first condition, 'bool_var', above. @overload def f4(x: C) -> C: ... else: @overload def f4(x: D) -> D: ... @overload def f4(x: E) -> E: ... def f4(x): ... reveal_type(f4(E())) # N: Revealed type is "__main__.E" reveal_type(f4(B())) # E: No overload variant of "f4" matches argument type "B" \ # N: Possible overload variants: \ # N: def f4(x: A) -> A \ # N: def f4(x: E) -> E \ # N: Revealed type is "Any" [case testOverloadIfSkipUnknownExecution] # flags: --always-true True from typing import overload class A: ... class B: ... class C: ... class D: ... # ----- # If blocks should be skipped if execution can't be certain # Overload name must match outer name # ----- @overload # E: Single overload definition, multiple required def f1(x: A) -> A: ... if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f1(x: B) -> B: ... def f1(x): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f2(x: A) -> A: ... @overload def f2(x: B) -> B: ... @overload def f2(x: C) -> C: ... def f2(x): ... reveal_type(f2(A())) # E: No overload variant of "f2" matches argument type "A" \ # N: Possible overload variants: \ # N: def f2(x: B) -> B \ # N: def f2(x: C) -> C \ # N: Revealed type is "Any" if True: @overload # E: Single overload definition, multiple required def f3(x: A) -> A: ... if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f3(x: B) -> B: ... def f3(x): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" if True: if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f4(x: A) -> A: ... @overload def f4(x: B) -> B: ... @overload def f4(x: C) -> C: ... def f4(x): ... reveal_type(f4(A())) # E: No overload variant of "f4" matches argument type "A" \ # N: Possible overload variants: \ # N: def f4(x: B) -> B \ # N: def f4(x: C) -> C \ # N: Revealed type is "Any" [case testOverloadIfDontSkipUnrelatedOverload] # flags: --always-true True from typing import overload class A: ... class B: ... class C: ... class D: ... # ----- # Don't skip if block if overload name doesn't match outer name # ----- @overload # E: Single overload definition, multiple required def f1(x: A) -> A: ... if maybe_true: # E: Name "maybe_true" is not defined @overload # E: Single overload definition, multiple required def g1(x: B) -> B: ... def f1(x): ... # E: Name "f1" already defined on line 13 reveal_type(f1(A())) # N: Revealed type is "__main__.A" if maybe_true: # E: Name "maybe_true" is not defined @overload # E: Single overload definition, multiple required def g2(x: A) -> A: ... @overload def f2(x: B) -> B: ... @overload def f2(x: C) -> C: ... def f2(x): ... reveal_type(f2(A())) # E: No overload variant of "f2" matches argument type "A" \ # N: Possible overload variants: \ # N: def f2(x: B) -> B \ # N: def f2(x: C) -> C \ # N: Revealed type is "Any" if True: @overload # E: Single overload definition, multiple required def f3(x: A) -> A: ... def f3(x): ... if maybe_true: # E: Name "maybe_true" is not defined @overload # E: Single overload definition, multiple required def g3(x: B) -> B: ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" if True: if maybe_true: # E: Name "maybe_true" is not defined @overload # E: Single overload definition, multiple required def g4(x: A) -> A: ... @overload def f4(x: B) -> B: ... @overload def f4(x: C) -> C: ... def f4(x): ... reveal_type(f4(A())) # E: No overload variant of "f4" matches argument type "A" \ # N: Possible overload variants: \ # N: def f4(x: B) -> B \ # N: def f4(x: C) -> C \ # N: Revealed type is "Any" [case testOverloadIfNotMergingDifferentNames] # flags: --always-true True from typing import overload class A: ... class B: ... class C: ... class D: ... # ----- # Don't merge overloads if IfStmts contains overload with different name # ----- @overload # E: An overloaded function outside a stub file must have an implementation def f1(x: A) -> A: ... @overload def f1(x: B) -> B: ... if True: @overload # E: Single overload definition, multiple required def g1(x: C) -> C: ... def f1(x): ... # E: Name "f1" already defined on line 13 reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(C())) # E: No overload variant of "f1" matches argument type "C" \ # N: Possible overload variants: \ # N: def f1(x: A) -> A \ # N: def f1(x: B) -> B \ # N: Revealed type is "Any" if True: @overload # E: Single overload definition, multiple required def g2(x: A) -> A: ... @overload def f2(x: B) -> B: ... @overload def f2(x: C) -> C: ... def f2(x): ... reveal_type(f2(A())) # E: No overload variant of "f2" matches argument type "A" \ # N: Possible overload variants: \ # N: def f2(x: B) -> B \ # N: def f2(x: C) -> C \ # N: Revealed type is "Any" reveal_type(f2(B())) # N: Revealed type is "__main__.B" if True: if True: @overload # E: Single overload definition, multiple required def g3(x: A) -> A: ... @overload def f3(x: B) -> B: ... @overload def f3(x: C) -> C: ... def f3(x): ... reveal_type(f3(A())) # E: No overload variant of "f3" matches argument type "A" \ # N: Possible overload variants: \ # N: def f3(x: B) -> B \ # N: def f3(x: C) -> C \ # N: Revealed type is "Any" reveal_type(f3(B())) # N: Revealed type is "__main__.B" [case testOverloadIfSplitFunctionDef] # flags: --always-true True --always-false False from typing import overload class A: ... class B: ... class C: ... class D: ... # ----- # Test split FuncDefs # ----- @overload def f1(x: A) -> A: ... @overload def f1(x: B) -> B: ... if True: def f1(x): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" @overload def f2(x: A) -> A: ... @overload def f2(x: B) -> B: ... if False: def f2(x): ... else: def f2(x): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" @overload # E: An overloaded function outside a stub file must have an implementation def f3(x: A) -> A: ... @overload def f3(x: B) -> B: ... if True: def f3(x): ... # E: Name "f3" already defined on line 31 else: pass # some other node def f3(x): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" [case testOverloadIfMixed] # flags: --always-true True --always-false False from typing import overload, TYPE_CHECKING class A: ... class B: ... class C: ... class D: ... if maybe_var: # E: Name "maybe_var" is not defined pass if True: @overload def f1(x: A) -> A: ... @overload def f1(x: B) -> B: ... def f1(x): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # N: Revealed type is "__main__.B" if True: @overload def f2(x: A) -> A: ... @overload def f2(x: B) -> B: ... def f2(x): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(B())) # N: Revealed type is "__main__.B" if True: @overload def f3(x: A) -> A: ... @overload def f3(x: B) -> B: ... def f3(x): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" reveal_type(f3(B())) # N: Revealed type is "__main__.B" # Don't crash with AssignmentStmt if elif @overload # E: Single overload definition, multiple required def f4(x: A) -> A: ... if False: @overload def f4(x: B) -> B: ... elif True: var = 1 def f4(x): ... # E: Name "f4" already defined on line 39 if TYPE_CHECKING: @overload def f5(x: A) -> A: ... @overload def f5(x: B) -> B: ... def f5(x): ... reveal_type(f5(A())) # N: Revealed type is "__main__.A" reveal_type(f5(B())) # N: Revealed type is "__main__.B" # Test from check-functions - testUnconditionalRedefinitionOfConditionalFunction # Don't merge If blocks if they appear before any overloads # and don't contain any overloads themselves. if maybe_true: # E: Name "maybe_true" is not defined def f6(x): ... def f6(x): ... # E: Name "f6" already defined on line 61 if maybe_true: # E: Name "maybe_true" is not defined pass # Some other node def f7(x): ... def f7(x): ... # E: Name "f7" already defined on line 66 @overload def f8(x: A) -> A: ... @overload def f8(x: B) -> B: ... if False: def f8(x: C) -> C: ... def f8(x): ... reveal_type(f8(A())) # N: Revealed type is "__main__.A" reveal_type(f8(C())) # E: No overload variant of "f8" matches argument type "C" \ # N: Possible overload variants: \ # N: def f8(x: A) -> A \ # N: def f8(x: B) -> B \ # N: Revealed type is "Any" if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f9(x: A) -> A: ... if another_maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "another_maybe_true" is not defined @overload def f9(x: B) -> B: ... @overload def f9(x: C) -> C: ... @overload def f9(x: D) -> D: ... def f9(x): ... reveal_type(f9(A())) # E: No overload variant of "f9" matches argument type "A" \ # N: Possible overload variants: \ # N: def f9(x: C) -> C \ # N: def f9(x: D) -> D \ # N: Revealed type is "Any" reveal_type(f9(C())) # N: Revealed type is "__main__.C" if True: if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f10(x: A) -> A: ... if another_maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "another_maybe_true" is not defined @overload def f10(x: B) -> B: ... @overload def f10(x: C) -> C: ... @overload def f10(x: D) -> D: ... def f10(x): ... reveal_type(f10(A())) # E: No overload variant of "f10" matches argument type "A" \ # N: Possible overload variants: \ # N: def f10(x: C) -> C \ # N: def f10(x: D) -> D \ # N: Revealed type is "Any" reveal_type(f10(C())) # N: Revealed type is "__main__.C" if some_var: # E: Name "some_var" is not defined pass @overload def f11(x: A) -> A: ... @overload def f11(x: B) -> B: ... def f11(x): ... reveal_type(f11(A())) # N: Revealed type is "__main__.A" if True: if some_var: # E: Name "some_var" is not defined pass @overload def f12(x: A) -> A: ... @overload def f12(x: B) -> B: ... def f12(x): ... reveal_type(f12(A())) # N: Revealed type is "__main__.A" [typing fixtures/typing-medium.pyi] [case testAdjacentConditionalOverloads] # flags: --always-true true_alias from typing import overload true_alias = True if true_alias: @overload def ham(v: str) -> list[str]: ... @overload def ham(v: int) -> list[int]: ... def ham(v: "int | str") -> "list[str] | list[int]": return [] if true_alias: @overload def spam(v: str) -> str: ... @overload def spam(v: int) -> int: ... def spam(v: "int | str") -> "str | int": return "" reveal_type(ham) # N: Revealed type is "Overload(def (v: builtins.str) -> builtins.list[builtins.str], def (v: builtins.int) -> builtins.list[builtins.int])" reveal_type(spam) # N: Revealed type is "Overload(def (v: builtins.str) -> builtins.str, def (v: builtins.int) -> builtins.int)" reveal_type(ham("")) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(ham(0)) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(spam("")) # N: Revealed type is "builtins.str" reveal_type(spam(0)) # N: Revealed type is "builtins.int" [case testOverloadIfUnconditionalFuncDef] # flags: --always-true True --always-false False from typing import overload class A: ... class B: ... # ----- # Don't merge conditional FuncDef after unconditional one # ----- @overload def f1(x: A) -> A: ... @overload def f1(x: B) -> B: ... def f1(x): ... @overload def f2(x: A) -> A: ... if True: @overload def f2(x: B) -> B: ... def f2(x): ... if True: def f2(x): ... # E: Name "f2" already defined on line 17 [case testOverloadItemHasMoreGeneralReturnType] from typing import overload @overload def f() -> object: ... @overload def f(x: int) -> object: ... def f(x: int = 0) -> int: return x @overload def g() -> object: ... @overload def g(x: int) -> str: ... def g(x: int = 0) -> int: # E: Overloaded function implementation cannot produce return type of signature 2 return x [case testOverloadIfNestedOk] # flags: --always-true True --always-false False from typing import overload class A: ... class B: ... class C: ... class D: ... @overload def f1(g: A) -> A: ... if True: @overload def f1(g: B) -> B: ... if True: @overload def f1(g: C) -> C: ... @overload def f1(g: D) -> D: ... def f1(g): ... reveal_type(f1(A())) # N: Revealed type is "__main__.A" reveal_type(f1(B())) # N: Revealed type is "__main__.B" reveal_type(f1(C())) # N: Revealed type is "__main__.C" reveal_type(f1(D())) # N: Revealed type is "__main__.D" @overload def f2(g: A) -> A: ... if True: @overload def f2(g: B) -> B: ... if True: @overload def f2(g: C) -> C: ... if True: @overload def f2(g: D) -> D: ... def f2(g): ... reveal_type(f2(A())) # N: Revealed type is "__main__.A" reveal_type(f2(B())) # N: Revealed type is "__main__.B" reveal_type(f2(C())) # N: Revealed type is "__main__.C" reveal_type(f2(D())) # N: Revealed type is "__main__.D" @overload def f3(g: A) -> A: ... if True: if True: @overload def f3(g: B) -> B: ... if True: @overload def f3(g: C) -> C: ... def f3(g): ... reveal_type(f3(A())) # N: Revealed type is "__main__.A" reveal_type(f3(B())) # N: Revealed type is "__main__.B" reveal_type(f3(C())) # N: Revealed type is "__main__.C" @overload def f4(g: A) -> A: ... if True: if False: @overload def f4(g: B) -> B: ... else: @overload def f4(g: C) -> C: ... def f4(g): ... reveal_type(f4(A())) # N: Revealed type is "__main__.A" reveal_type(f4(B())) # E: No overload variant of "f4" matches argument type "B" \ # N: Possible overload variants: \ # N: def f4(g: A) -> A \ # N: def f4(g: C) -> C \ # N: Revealed type is "Any" reveal_type(f4(C())) # N: Revealed type is "__main__.C" @overload def f5(g: A) -> A: ... if True: if False: @overload def f5(g: B) -> B: ... elif True: @overload def f5(g: C) -> C: ... def f5(g): ... reveal_type(f5(A())) # N: Revealed type is "__main__.A" reveal_type(f5(B())) # E: No overload variant of "f5" matches argument type "B" \ # N: Possible overload variants: \ # N: def f5(g: A) -> A \ # N: def f5(g: C) -> C \ # N: Revealed type is "Any" reveal_type(f5(C())) # N: Revealed type is "__main__.C" [case testOverloadIfNestedFailure] # flags: --always-true True --always-false False from typing import overload class A: ... class B: ... class C: ... class D: ... @overload # E: Single overload definition, multiple required def f1(g: A) -> A: ... if True: @overload # E: Single overload definition, multiple required def f1(g: B) -> B: ... # E: Incompatible redefinition (redefinition with type "Callable[[B], B]", original type "Callable[[A], A]") if maybe_true: # E: Condition can't be inferred, unable to merge overloads \ # E: Name "maybe_true" is not defined @overload def f1(g: C) -> C: ... @overload def f1(g: D) -> D: ... def f1(g): ... # E: Name "f1" already defined on line 9 @overload # E: Single overload definition, multiple required def f2(g: A) -> A: ... if True: if False: @overload def f2(g: B) -> B: ... elif maybe_true: # E: Name "maybe_true" is not defined @overload # E: Single overload definition, multiple required def f2(g: C) -> C: ... # E: Incompatible redefinition (redefinition with type "Callable[[C], C]", original type "Callable[[A], A]") def f2(g): ... # E: Name "f2" already defined on line 21 @overload # E: Single overload definition, multiple required def f3(g: A) -> A: ... if True: @overload # E: Single overload definition, multiple required def f3(g: B) -> B: ... # E: Incompatible redefinition (redefinition with type "Callable[[B], B]", original type "Callable[[A], A]") if True: pass # Some other node @overload # E: Name "f3" already defined on line 32 \ # E: An overloaded function outside a stub file must have an implementation def f3(g: C) -> C: ... @overload def f3(g: D) -> D: ... def f3(g): ... # E: Name "f3" already defined on line 32 [case testOverloadingWithParamSpec] from typing import TypeVar, Callable, Any, overload from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") R = TypeVar("R") @overload def func(x: Callable[Concatenate[Any, P], R]) -> Callable[P, R]: ... @overload def func(x: Callable[P, R]) -> Callable[Concatenate[str, P], R]: ... def func(x: Callable[..., R]) -> Callable[..., R]: ... def foo(arg1: str, arg2: int) -> bytes: ... reveal_type(func(foo)) # N: Revealed type is "def (arg2: builtins.int) -> builtins.bytes" def bar() -> int: ... reveal_type(func(bar)) # N: Revealed type is "def (builtins.str) -> builtins.int" baz: Callable[[str, str], str] = lambda x, y: 'baz' reveal_type(func(baz)) # N: Revealed type is "def (builtins.str) -> builtins.str" eggs = lambda: 'eggs' reveal_type(func(eggs)) # N: Revealed type is "def (builtins.str) -> builtins.str" spam: Callable[..., str] = lambda x, y: 'baz' reveal_type(func(spam)) # N: Revealed type is "def (*Any, **Any) -> Any" [builtins fixtures/paramspec.pyi] [case testGenericOverloadOverlapWithType] import m [file m.pyi] from typing import TypeVar, Type, overload, Callable T = TypeVar("T", bound=str) @overload def foo(x: Type[T] | int) -> int: ... @overload def foo(x: Callable[[int], bool]) -> str: ... [case testGenericOverloadOverlapWithCollection] import m [file m.pyi] from typing import TypeVar, Sequence, overload, List T = TypeVar("T", bound=str) @overload def foo(x: List[T]) -> str: ... @overload def foo(x: Sequence[int]) -> int: ... [builtins fixtures/list.pyi] # Also see `check-python38.test` for similar tests with `/` args: [case testOverloadPositionalOnlyErrorMessageOldStyle] from typing import overload @overload def foo(__a: int): ... @overload def foo(a: str): ... def foo(a): ... foo(a=1) [out] main:9: error: No overload variant of "foo" matches argument type "int" main:9: note: Possible overload variants: main:9: note: def foo(int, /) -> Any main:9: note: def foo(a: str) -> Any [case testOverloadUnionGenericBounds] from typing import overload, TypeVar, Sequence, Union class Entity: ... class Assoc: ... E = TypeVar("E", bound=Entity) A = TypeVar("A", bound=Assoc) class Test: @overload def foo(self, arg: Sequence[E]) -> None: ... @overload def foo(self, arg: Sequence[A]) -> None: ... def foo(self, arg: Union[Sequence[E], Sequence[A]]) -> None: ... [case testOverloadedStaticMethodOnInstance] from typing import overload class Snafu(object): @overload @staticmethod def snafu(value: bytes) -> bytes: ... @overload @staticmethod def snafu(value: str) -> str: ... @staticmethod def snafu(value): ... reveal_type(Snafu().snafu('123')) # N: Revealed type is "builtins.str" reveal_type(Snafu.snafu('123')) # N: Revealed type is "builtins.str" [builtins fixtures/staticmethod.pyi] [case testOverloadedWithInternalTypeVars] import m [file m.pyi] from typing import Callable, TypeVar, overload T = TypeVar("T") S = TypeVar("S", bound=str) @overload def foo(x: int = ...) -> Callable[[T], T]: ... @overload def foo(x: S = ...) -> Callable[[T], T]: ... [case testOverloadGenericStarArgOverlap] from typing import Any, Callable, TypeVar, overload, Union, Tuple, List F = TypeVar("F", bound=Callable[..., Any]) S = TypeVar("S", bound=int) def id(f: F) -> F: ... @overload def struct(*cols: S) -> int: ... @overload def struct(__cols: Union[List[S], Tuple[S, ...]]) -> int: ... @id def struct(*cols: Union[S, Union[List[S], Tuple[S, ...]]]) -> int: pass [builtins fixtures/tuple.pyi] [case testRegularGenericDecoratorOverload] from typing import Callable, overload, TypeVar, List S = TypeVar("S") T = TypeVar("T") def transform(func: Callable[[S], List[T]]) -> Callable[[S], T]: ... @overload def foo(x: int) -> List[float]: ... @overload def foo(x: str) -> List[str]: ... def foo(x): ... reveal_type(transform(foo)) # N: Revealed type is "Overload(def (builtins.int) -> builtins.float, def (builtins.str) -> builtins.str)" @transform @overload def bar(x: int) -> List[float]: ... @transform @overload def bar(x: str) -> List[str]: ... @transform def bar(x): ... reveal_type(bar) # N: Revealed type is "Overload(def (builtins.int) -> builtins.float, def (builtins.str) -> builtins.str)" [builtins fixtures/paramspec.pyi] [case testOverloadOverlapWithNameOnlyArgs] from typing import overload @overload def d(x: int) -> int: ... @overload def d(f: int, *, x: int) -> str: ... def d(*args, **kwargs): ... [builtins fixtures/tuple.pyi] [case testOverloadCallableGenericSelf] from typing import Any, TypeVar, Generic, overload, reveal_type T = TypeVar("T") class MyCallable(Generic[T]): def __init__(self, t: T): self.t = t @overload def __call__(self: "MyCallable[int]") -> str: ... @overload def __call__(self: "MyCallable[str]") -> int: ... def __call__(self): ... c = MyCallable(5) reveal_type(c) # N: Revealed type is "__main__.MyCallable[builtins.int]" reveal_type(c()) # N: Revealed type is "builtins.str" c2 = MyCallable("test") reveal_type(c2) # N: Revealed type is "__main__.MyCallable[builtins.str]" reveal_type(c2()) # should be int # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testOverloadWithStarAnyFallback] from typing import overload, Any class A: @overload def f(self, e: str) -> str: ... @overload def f(self, *args: Any, **kwargs: Any) -> Any: ... def f(self, *args, **kwargs): pass class B: @overload def f(self, e: str, **kwargs: Any) -> str: ... @overload def f(self, *args: Any, **kwargs: Any) -> Any: ... def f(self, *args, **kwargs): pass [builtins fixtures/tuple.pyi] [case testOverloadsSafeOverlapAllowed] from lib import * [file lib.pyi] from typing import overload @overload def bar(x: object) -> object: ... @overload def bar(x: int = ...) -> int: ... [case testOverloadsInvariantOverlapAllowed] from lib import * [file lib.pyi] from typing import overload, List @overload def bar(x: List[int]) -> List[int]: ... @overload def bar(x: List[object]) -> List[object]: ... [case testOverloadsNoneAnyOverlapAllowed] from lib import * [file lib.pyi] from typing import overload, Any @overload def foo(x: None) -> int: ... @overload def foo(x: object) -> str: ... @overload def bar(x: int) -> int: ... @overload def bar(x: Any) -> str: ... [case testOverloadOnInvalidTypeArgument] from typing import TypeVar, Self, Generic, overload class C: pass T = TypeVar("T", bound=C) class D(Generic[T]): @overload def f(self, x: int) -> int: ... @overload def f(self, x: str) -> str: ... def f(Self, x): ... a: D[str] # E: Type argument "str" of "D" must be a subtype of "C" reveal_type(a.f(1)) # N: Revealed type is "builtins.int" reveal_type(a.f("x")) # N: Revealed type is "builtins.str" [case testMultiAssignFromUnionInOverloadCached] from typing import Iterable, overload, Union, Optional @overload def always_bytes(str_or_bytes: None) -> None: ... @overload def always_bytes(str_or_bytes: Union[str, bytes]) -> bytes: ... def always_bytes(str_or_bytes: Union[None, str, bytes]) -> Optional[bytes]: pass class Headers: def __init__(self, iter: Iterable[tuple[bytes, bytes]]) -> None: ... headers: Union[Headers, dict[Union[str, bytes], Union[str, bytes]], Iterable[tuple[bytes, bytes]]] if isinstance(headers, dict): headers = Headers( (always_bytes(k), always_bytes(v)) for k, v in headers.items() ) reveal_type(headers) # N: Revealed type is "Union[__main__.Headers, typing.Iterable[tuple[builtins.bytes, builtins.bytes]]]" [builtins fixtures/isinstancelist.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-parameter-specification.test0000644000175100017510000026140215112307767023703 0ustar00runnerrunner[case testBasicParamSpec] from typing_extensions import ParamSpec P = ParamSpec('P') [builtins fixtures/tuple.pyi] [case testInvalidParamSpecDefinitions] from typing import ParamSpec P1 = ParamSpec("P1", covariant=True) # E: The variance and bound arguments to ParamSpec do not have defined semantics yet P2 = ParamSpec("P2", contravariant=True) # E: The variance and bound arguments to ParamSpec do not have defined semantics yet P3 = ParamSpec("P3", bound=int) # E: The variance and bound arguments to ParamSpec do not have defined semantics yet P4 = ParamSpec("P4", int, str) # E: Too many positional arguments for "ParamSpec" P5 = ParamSpec("P5", covariant=True, bound=int) # E: The variance and bound arguments to ParamSpec do not have defined semantics yet [builtins fixtures/paramspec.pyi] [case testParamSpecLocations] from typing import Any, Callable, List, Type from typing_extensions import ParamSpec, Concatenate P = ParamSpec('P') x: P # E: ParamSpec "P" is unbound def foo1(x: Callable[P, int]) -> Callable[P, str]: ... def foo2(x: P) -> P: ... # E: Invalid location for ParamSpec "P" \ # N: You can use ParamSpec as the first argument to Callable, e.g., "Callable[P, int]" def foo3(x: Concatenate[int, P]) -> int: ... # E: Invalid location for Concatenate \ # N: You can use Concatenate as the first argument to Callable def foo4(x: List[P]) -> None: ... # E: Invalid location for ParamSpec "P" \ # N: You can use ParamSpec as the first argument to Callable, e.g., "Callable[P, int]" def foo5(x: Callable[[int, str], P]) -> None: ... # E: Invalid location for ParamSpec "P" \ # N: You can use ParamSpec as the first argument to Callable, e.g., "Callable[P, int]" def foo6(x: Callable[[P], int]) -> None: ... # E: Invalid location for ParamSpec "P" \ # N: You can use ParamSpec as the first argument to Callable, e.g., "Callable[P, int]" def foo7( *args: P.args, **kwargs: P.kwargs # E: ParamSpec "P" is unbound ) -> Callable[[Callable[P, T]], Type[T]]: ... def wrapper(f: Callable[P, int]) -> None: def inner(*args: P.args, **kwargs: P.kwargs) -> None: ... # OK def extra_args_left(x: int, *args: P.args, **kwargs: P.kwargs) -> None: ... # OK def extra_args_between(*args: P.args, x: int, **kwargs: P.kwargs) -> None: ... # E: Arguments not allowed after ParamSpec.args def swapped(*args: P.kwargs, **kwargs: P.args) -> None: ... # E: Use "P.args" for variadic "*" parameter \ # E: Use "P.kwargs" for variadic "**" parameter def bad_kwargs(*args: P.args, **kwargs: P.args) -> None: ... # E: Use "P.kwargs" for variadic "**" parameter def bad_args(*args: P.kwargs, **kwargs: P.kwargs) -> None: ... # E: Use "P.args" for variadic "*" parameter def misplaced(x: P.args) -> None: ... # E: ParamSpec components are not allowed here def bad_kwargs_any(*args: P.args, **kwargs: Any) -> None: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" [builtins fixtures/paramspec.pyi] [case testParamSpecImports] import lib from lib import Base class C(Base[[int]]): def test(self, x: int): ... class D(lib.Base[[int]]): def test(self, x: int): ... class E(lib.Base[...]): ... reveal_type(E().test) # N: Revealed type is "def (*Any, **Any)" [file lib.py] from typing import Generic from typing_extensions import ParamSpec P = ParamSpec("P") class Base(Generic[P]): def test(self, *args: P.args, **kwargs: P.kwargs) -> None: ... [builtins fixtures/paramspec.pyi] [case testParamSpecEllipsisInAliases] from typing import Any, Callable, Generic, TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') R = TypeVar('R') Alias = Callable[P, R] class B(Generic[P]): ... Other = B[P] T = TypeVar('T', bound=Alias[..., Any]) Alias[..., Any] # E: Type application is only supported for generic classes B[...] Other[...] [builtins fixtures/paramspec.pyi] [case testParamSpecEllipsisInConcatenate] from typing import Any, Callable, Generic, TypeVar from typing_extensions import ParamSpec, Concatenate P = ParamSpec('P') R = TypeVar('R') Alias = Callable[P, R] IntFun = Callable[Concatenate[int, ...], None] f: IntFun reveal_type(f) # N: Revealed type is "def (builtins.int, *Any, **Any)" g: Callable[Concatenate[int, ...], None] reveal_type(g) # N: Revealed type is "def (builtins.int, *Any, **Any)" class B(Generic[P]): def test(self, *args: P.args, **kwargs: P.kwargs) -> None: ... x: B[Concatenate[int, ...]] reveal_type(x.test) # N: Revealed type is "def (builtins.int, *Any, **Any)" Bad = Callable[Concatenate[int, [int, str]], None] # E: The last parameter to Concatenate needs to be a ParamSpec \ # E: Bracketed expression "[...]" is not valid as a type def bad(fn: Callable[Concatenate[P, int], None]): # E: The last parameter to Concatenate needs to be a ParamSpec ... [builtins fixtures/paramspec.pyi] [case testParamSpecContextManagerLike] from typing import Callable, List, Iterator, TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') T = TypeVar('T') def tmpcontextmanagerlike(x: Callable[P, Iterator[T]]) -> Callable[P, List[T]]: ... @tmpcontextmanagerlike def whatever(x: int) -> Iterator[int]: yield x reveal_type(whatever) # N: Revealed type is "def (x: builtins.int) -> builtins.list[builtins.int]" reveal_type(whatever(217)) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/paramspec.pyi] [case testInvalidParamSpecType] # flags: --python-version 3.10 from typing import ParamSpec P = ParamSpec("P") class MyFunction(P): # E: Invalid base class "P" ... [case testParamSpecRevealType] from typing import Callable from typing_extensions import ParamSpec P = ParamSpec('P') def f(x: Callable[P, int]) -> None: ... reveal_type(f) # N: Revealed type is "def [P] (x: def (*P.args, **P.kwargs) -> builtins.int)" [builtins fixtures/paramspec.pyi] [case testParamSpecSimpleFunction] from typing import Callable, TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') def changes_return_type_to_str(x: Callable[P, int]) -> Callable[P, str]: ... def returns_int(a: str, b: bool) -> int: ... reveal_type(changes_return_type_to_str(returns_int)) # N: Revealed type is "def (a: builtins.str, b: builtins.bool) -> builtins.str" [builtins fixtures/paramspec.pyi] [case testParamSpecSimpleClass] from typing import Callable, TypeVar, Generic from typing_extensions import ParamSpec P = ParamSpec('P') class C(Generic[P]): def __init__(self, x: Callable[P, None]) -> None: ... def m(self, *args: P.args, **kwargs: P.kwargs) -> int: return 1 def f(x: int, y: str) -> None: ... reveal_type(C(f)) # N: Revealed type is "__main__.C[[x: builtins.int, y: builtins.str]]" reveal_type(C(f).m) # N: Revealed type is "def (x: builtins.int, y: builtins.str) -> builtins.int" [builtins fixtures/dict.pyi] [case testParamSpecClassWithPrefixArgument] from typing import Callable, TypeVar, Generic from typing_extensions import ParamSpec P = ParamSpec('P') class C(Generic[P]): def __init__(self, x: Callable[P, None]) -> None: ... def m(self, a: str, *args: P.args, **kwargs: P.kwargs) -> int: return 1 def f(x: int, y: str) -> None: ... reveal_type(C(f).m) # N: Revealed type is "def (a: builtins.str, x: builtins.int, y: builtins.str) -> builtins.int" reveal_type(C(f).m('', 1, '')) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [case testParamSpecDecorator] from typing import Callable, TypeVar, Generic from typing_extensions import ParamSpec P = ParamSpec('P') R = TypeVar('R') class W(Generic[P, R]): f: Callable[P, R] x: int def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R: reveal_type(self.f(*args, **kwargs)) # N: Revealed type is "R`2" return self.f(*args, **kwargs) def dec() -> Callable[[Callable[P, R]], W[P, R]]: pass @dec() def f(a: int, b: str) -> None: ... reveal_type(f) # N: Revealed type is "__main__.W[[a: builtins.int, b: builtins.str], None]" reveal_type(f(1, '')) # N: Revealed type is "None" reveal_type(f.x) # N: Revealed type is "builtins.int" ## TODO: How should this work? # # class C: # @dec() # def m(self, x: int) -> str: ... # # reveal_type(C().m(x=1)) [builtins fixtures/dict.pyi] [case testParamSpecFunction] from typing import Callable, TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') R = TypeVar('R') def f(x: Callable[P, R], *args: P.args, **kwargs: P.kwargs) -> R: return x(*args, **kwargs) def g(x: int, y: str) -> None: ... reveal_type(f(g, 1, y='x')) # N: Revealed type is "None" f(g, 'x', y='x') # E: Argument 2 to "f" has incompatible type "str"; expected "int" f(g, 1, y=1) # E: Argument "y" to "f" has incompatible type "int"; expected "str" f(g) # E: Missing positional arguments "x", "y" in call to "f" [builtins fixtures/dict.pyi] [case testParamSpecSpecialCase] from typing import Callable, TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') T = TypeVar('T') def register(func: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> Callable[P, T]: ... def f(x: int, y: str, z: int, a: str) -> None: ... x = register(f, 1, '', 1, '') [builtins fixtures/dict.pyi] [case testParamSpecInferredFromAny] from typing import Callable, Any from typing_extensions import ParamSpec P = ParamSpec('P') def f(x: Callable[P, int]) -> Callable[P, str]: ... g: Any reveal_type(f(g)) # N: Revealed type is "def (*Any, **Any) -> builtins.str" f(g)(1, 3, x=1, y=2) [builtins fixtures/paramspec.pyi] [case testParamSpecDecoratorImplementation] from typing import Callable, Any, TypeVar, List from typing_extensions import ParamSpec P = ParamSpec('P') T = TypeVar('T') def dec(f: Callable[P, T]) -> Callable[P, List[T]]: def wrapper(*args: P.args, **kwargs: P.kwargs) -> List[T]: return [f(*args, **kwargs)] return wrapper @dec def g(x: int, y: str = '') -> int: ... reveal_type(g) # N: Revealed type is "def (x: builtins.int, y: builtins.str =) -> builtins.list[builtins.int]" [builtins fixtures/dict.pyi] [case testParamSpecArgsAndKwargsTypes] from typing import Callable, TypeVar, Generic from typing_extensions import ParamSpec P = ParamSpec('P') class C(Generic[P]): def __init__(self, x: Callable[P, None]) -> None: ... def m(self, *args: P.args, **kwargs: P.kwargs) -> None: reveal_type(args) # N: Revealed type is "P.args`1" reveal_type(kwargs) # N: Revealed type is "P.kwargs`1" [builtins fixtures/dict.pyi] [case testParamSpecSubtypeChecking1] from typing import Callable, TypeVar, Generic, Any from typing_extensions import ParamSpec P = ParamSpec('P') class C(Generic[P]): def __init__(self, x: Callable[P, None]) -> None: ... def m(self, *args: P.args, **kwargs: P.kwargs) -> None: args = args kwargs = kwargs o: object o = args o = kwargs o2: object args = o2 # E: Incompatible types in assignment (expression has type "object", variable has type "P.args") kwargs = o2 # E: Incompatible types in assignment (expression has type "object", variable has type "P.kwargs") a: Any a = args a = kwargs args = kwargs # E: Incompatible types in assignment (expression has type "P.kwargs", variable has type "P.args") kwargs = args # E: Incompatible types in assignment (expression has type "P.args", variable has type "P.kwargs") a1: Any args = a1 kwargs = a1 [builtins fixtures/dict.pyi] [case testParamSpecSubtypeChecking2] from typing import Callable, Generic from typing_extensions import ParamSpec P = ParamSpec('P') P2 = ParamSpec('P2') class C(Generic[P]): pass def f(c1: C[P], c2: C[P2]) -> None: c1 = c1 c2 = c2 c1 = c2 # E: Incompatible types in assignment (expression has type "C[P2]", variable has type "C[P]") c2 = c1 # E: Incompatible types in assignment (expression has type "C[P]", variable has type "C[P2]") def g(f: Callable[P, None], g: Callable[P2, None]) -> None: f = f g = g f = g # E: Incompatible types in assignment (expression has type "Callable[P2, None]", variable has type "Callable[P, None]") g = f # E: Incompatible types in assignment (expression has type "Callable[P, None]", variable has type "Callable[P2, None]") [builtins fixtures/dict.pyi] [case testParamSpecJoin] from typing import Callable, Generic, TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') P2 = ParamSpec('P2') P3 = ParamSpec('P3') T = TypeVar('T') def join(x: T, y: T) -> T: ... class C(Generic[P, P2]): def m(self, f: Callable[P, None], g: Callable[P2, None]) -> None: reveal_type(join(f, f)) # N: Revealed type is "def (*P.args, **P.kwargs)" reveal_type(join(f, g)) # N: Revealed type is "builtins.function" def m2(self, *args: P.args, **kwargs: P.kwargs) -> None: reveal_type(join(args, args)) # N: Revealed type is "P.args`1" reveal_type(join(kwargs, kwargs)) # N: Revealed type is "P.kwargs`1" reveal_type(join(args, kwargs)) # N: Revealed type is "builtins.object" def f(*args2: P2.args, **kwargs2: P2.kwargs) -> None: reveal_type(join(args, args2)) # N: Revealed type is "builtins.object" reveal_type(join(kwargs, kwargs2)) # N: Revealed type is "builtins.object" def m3(self, c: C[P, P3]) -> None: reveal_type(join(c, c)) # N: Revealed type is "__main__.C[P`1, P3`-1]" reveal_type(join(self, c)) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [case testParamSpecClassWithAny] from typing import Callable, Generic, Any from typing_extensions import ParamSpec P = ParamSpec('P') class C(Generic[P]): def __init__(self, x: Callable[P, None]) -> None: ... def m(self, *args: P.args, **kwargs: P.kwargs) -> int: return 1 c: C[Any] reveal_type(c) # N: Revealed type is "__main__.C[Any]" reveal_type(c.m) # N: Revealed type is "def (*args: Any, **kwargs: Any) -> builtins.int" c.m(4, 6, y='x') c = c def f() -> None: pass c2 = C(f) c2 = c c3 = C(f) c = c3 [builtins fixtures/dict.pyi] [case testParamSpecInferredFromLambda] from typing import Callable, TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') T = TypeVar('T') # Similar to atexit.register def register(f: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> Callable[P, T]: ... def f(x: int) -> None: pass def g(x: int, y: str) -> None: pass reveal_type(register(lambda: f(1))) # N: Revealed type is "def ()" reveal_type(register(lambda x: f(x), x=1)) # N: Revealed type is "def (x: Literal[1]?)" register(lambda x: f(x)) # E: Cannot infer type of lambda \ # E: Argument 1 to "register" has incompatible type "Callable[[Any], None]"; expected "Callable[[], None]" register(lambda x: f(x), y=1) # E: Argument 1 to "register" has incompatible type "def (x: int) -> None"; expected "def (y: int) -> None" reveal_type(register(lambda x: f(x), 1)) # N: Revealed type is "def (Literal[1]?)" reveal_type(register(lambda x, y: g(x, y), 1, "a")) # N: Revealed type is "def (Literal[1]?, Literal['a']?)" reveal_type(register(lambda x, y: g(x, y), 1, y="a")) # N: Revealed type is "def (Literal[1]?, y: Literal['a']?)" [builtins fixtures/dict.pyi] [case testParamSpecInvalidCalls] from typing import Callable, Generic from typing_extensions import ParamSpec P = ParamSpec('P') P2 = ParamSpec('P2') class C(Generic[P, P2]): def m1(self, *args: P.args, **kwargs: P.kwargs) -> None: self.m1(*args, **kwargs) self.m2(*args, **kwargs) # E: Argument 1 to "m2" of "C" has incompatible type "*P.args"; expected "P2.args" \ # E: Argument 2 to "m2" of "C" has incompatible type "**P.kwargs"; expected "P2.kwargs" self.m1(*kwargs, **args) # E: Argument 1 to "m1" of "C" has incompatible type "*P.kwargs"; expected "P.args" \ # E: Argument 2 to "m1" of "C" has incompatible type "**P.args"; expected "P.kwargs" self.m3(*args, **kwargs) # E: Argument 1 to "m3" of "C" has incompatible type "*P.args"; expected "int" \ # E: Argument 2 to "m3" of "C" has incompatible type "**P.kwargs"; expected "int" self.m4(*args, **kwargs) # E: Argument 1 to "m4" of "C" has incompatible type "*P.args"; expected "int" \ # E: Argument 2 to "m4" of "C" has incompatible type "**P.kwargs"; expected "int" self.m1(*args, **args) # E: Argument 2 to "m1" of "C" has incompatible type "**P.args"; expected "P.kwargs" self.m1(*kwargs, **kwargs) # E: Argument 1 to "m1" of "C" has incompatible type "*P.kwargs"; expected "P.args" def m2(self, *args: P2.args, **kwargs: P2.kwargs) -> None: pass def m3(self, *args: int, **kwargs: int) -> None: pass def m4(self, x: int) -> None: pass [builtins fixtures/dict.pyi] [case testParamSpecOverUnannotatedDecorator] from typing import Callable, Iterator, TypeVar, ContextManager, Any from typing_extensions import ParamSpec from nonexistent import deco2 # type: ignore T = TypeVar("T") P = ParamSpec("P") T_co = TypeVar("T_co", covariant=True) class CM(ContextManager[T_co]): def __call__(self, func: T) -> T: ... def deco1( func: Callable[P, Iterator[T]]) -> Callable[P, CM[T]]: ... @deco1 @deco2 def f(): pass reveal_type(f) # N: Revealed type is "def (*Any, **Any) -> __main__.CM[Any]" with f() as x: pass [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testParamSpecLiterals] from typing_extensions import ParamSpec, TypeAlias from typing import Generic, TypeVar P = ParamSpec("P") T = TypeVar("T") class Z(Generic[P]): ... # literals can be applied n: Z[[int]] nt1 = Z[[int]] nt2: TypeAlias = Z[[int]] unt1: nt1 unt2: nt2 # literals actually keep types reveal_type(n) # N: Revealed type is "__main__.Z[[builtins.int]]" reveal_type(unt1) # N: Revealed type is "__main__.Z[[builtins.int]]" reveal_type(unt2) # N: Revealed type is "__main__.Z[[builtins.int]]" # passing into a function keeps the type def fT(a: T) -> T: ... def fP(a: Z[P]) -> Z[P]: ... reveal_type(fT(n)) # N: Revealed type is "__main__.Z[[builtins.int]]" reveal_type(fP(n)) # N: Revealed type is "__main__.Z[[builtins.int]]" # literals can be in function args and return type def k(a: Z[[int]]) -> Z[[str]]: ... # functions work reveal_type(k(n)) # N: Revealed type is "__main__.Z[[builtins.str]]" # literals can be matched in arguments def kb(a: Z[[bytes]]) -> Z[[str]]: ... reveal_type(kb(n)) # N: Revealed type is "__main__.Z[[builtins.str]]" \ # E: Argument 1 to "kb" has incompatible type "Z[[int]]"; expected "Z[[bytes]]" n2: Z[bytes] reveal_type(kb(n2)) # N: Revealed type is "__main__.Z[[builtins.str]]" [builtins fixtures/tuple.pyi] [case testParamSpecConcatenateFromPep] from typing_extensions import ParamSpec, Concatenate from typing import Callable, TypeVar, Generic P = ParamSpec("P") R = TypeVar("R") # CASE 1 class Request: ... def with_request(f: Callable[Concatenate[Request, P], R]) -> Callable[P, R]: def inner(*args: P.args, **kwargs: P.kwargs) -> R: return f(Request(), *args, **kwargs) return inner @with_request def takes_int_str(request: Request, x: int, y: str) -> int: # use request return x + 7 reveal_type(takes_int_str) # N: Revealed type is "def (x: builtins.int, y: builtins.str) -> builtins.int" takes_int_str(1, "A") # Accepted takes_int_str("B", 2) # E: Argument 1 to "takes_int_str" has incompatible type "str"; expected "int" \ # E: Argument 2 to "takes_int_str" has incompatible type "int"; expected "str" # CASE 2 T = TypeVar("T") P_2 = ParamSpec("P_2") class X(Generic[T, P]): f: Callable[P, int] x: T def f1(x: X[int, P_2]) -> str: ... # Accepted def f2(x: X[int, Concatenate[int, P_2]]) -> str: ... # Accepted def f3(x: X[int, [int, bool]]) -> str: ... # Accepted # ellipsis only show up here, but I can assume it works like Callable[..., R] def f4(x: X[int, ...]) -> str: ... # Accepted def f5(x: X[int, int]) -> str: ... # E: Can only replace ParamSpec with a parameter types list or another ParamSpec, got "int" # CASE 3 def bar(x: int, *args: bool) -> int: ... def add(x: Callable[P, int]) -> Callable[Concatenate[str, P], bool]: ... reveal_type(add(bar)) # N: Revealed type is "def (builtins.str, x: builtins.int, *args: builtins.bool) -> builtins.bool" def remove(x: Callable[Concatenate[int, P], int]) -> Callable[P, bool]: ... reveal_type(remove(bar)) # N: Revealed type is "def (*args: builtins.bool) -> builtins.bool" def transform( x: Callable[Concatenate[int, P], int] ) -> Callable[Concatenate[str, P], bool]: ... # In the PEP, "__a" appears. What is that? Autogenerated names? To what spec? reveal_type(transform(bar)) # N: Revealed type is "def (builtins.str, *args: builtins.bool) -> builtins.bool" # CASE 4 def expects_int_first(x: Callable[Concatenate[int, P], int]) -> None: ... @expects_int_first # E: Argument 1 to "expects_int_first" has incompatible type "Callable[[str], int]"; expected "Callable[[int], int]" \ # N: This is likely because "one" has named arguments: "x". Consider marking them positional-only def one(x: str) -> int: ... @expects_int_first # E: Argument 1 to "expects_int_first" has incompatible type "def two(*, x: int) -> int"; expected "def (int, /, *, x: int) -> int" def two(*, x: int) -> int: ... @expects_int_first # E: Argument 1 to "expects_int_first" has incompatible type "def three(**kwargs: int) -> int"; expected "def (int, /, **kwargs: int) -> int" def three(**kwargs: int) -> int: ... @expects_int_first # Accepted def four(*args: int) -> int: ... [builtins fixtures/dict.pyi] [case testParamSpecTwiceSolving] from typing_extensions import ParamSpec, Concatenate from typing import Callable, TypeVar P = ParamSpec("P") R = TypeVar("R") def f(one: Callable[Concatenate[int, P], R], two: Callable[Concatenate[str, P], R]) -> Callable[P, R]: ... a: Callable[[int, bytes], str] b: Callable[[str, bytes], str] reveal_type(f(a, b)) # N: Revealed type is "def (builtins.bytes) -> builtins.str" [builtins fixtures/paramspec.pyi] [case testParamSpecConcatenateInReturn] from typing_extensions import ParamSpec, Concatenate from typing import Callable, Protocol P = ParamSpec("P") def f(i: Callable[Concatenate[int, P], str]) -> Callable[Concatenate[int, P], str]: ... n: Callable[[int, bytes], str] reveal_type(f(n)) # N: Revealed type is "def (builtins.int, builtins.bytes) -> builtins.str" [builtins fixtures/paramspec.pyi] [case testParamSpecConcatenateNamedArgs] # flags: --extra-checks # this is one noticeable deviation from PEP but I believe it is for the better from typing_extensions import ParamSpec, Concatenate from typing import Callable, TypeVar P = ParamSpec("P") R = TypeVar("R") def f1(c: Callable[P, R]) -> Callable[Concatenate[int, P], R]: def result(x: int, /, *args: P.args, **kwargs: P.kwargs) -> R: ... return result # Accepted def f2(c: Callable[P, R]) -> Callable[Concatenate[int, P], R]: def result(x: int, *args: P.args, **kwargs: P.kwargs) -> R: ... return result # Rejected # reason for rejection: f2(lambda x: 42)(42, x=42) [builtins fixtures/paramspec.pyi] [out] main:17: error: Incompatible return value type (got "Callable[[Arg(int, 'x'), **P], R]", expected "Callable[[int, **P], R]") main:17: note: This is likely because "result" has named arguments: "x". Consider marking them positional-only [case testNonStrictParamSpecConcatenateNamedArgs] # this is one noticeable deviation from PEP but I believe it is for the better from typing_extensions import ParamSpec, Concatenate from typing import Callable, TypeVar P = ParamSpec("P") R = TypeVar("R") def f1(c: Callable[P, R]) -> Callable[Concatenate[int, P], R]: def result(x: int, /, *args: P.args, **kwargs: P.kwargs) -> R: ... return result # Accepted def f2(c: Callable[P, R]) -> Callable[Concatenate[int, P], R]: def result(x: int, *args: P.args, **kwargs: P.kwargs) -> R: ... return result # Rejected -> Accepted # reason for rejection: f2(lambda x: 42)(42, x=42) [builtins fixtures/paramspec.pyi] [case testParamSpecConcatenateWithTypeVar] from typing_extensions import ParamSpec, Concatenate from typing import Callable, TypeVar P = ParamSpec("P") R = TypeVar("R") S = TypeVar("S") def f(c: Callable[Concatenate[S, P], R]) -> Callable[Concatenate[S, P], R]: ... def a(n: int) -> None: ... n = f(a) reveal_type(n) # N: Revealed type is "def (builtins.int)" reveal_type(n(42)) # N: Revealed type is "None" [builtins fixtures/paramspec.pyi] [case testCallablesAsParameters] # credits to https://github.com/microsoft/pyright/issues/2705 from typing_extensions import ParamSpec, Concatenate from typing import Generic, Callable, Any P = ParamSpec("P") class Foo(Generic[P]): def __init__(self, func: Callable[P, Any]) -> None: ... def bar(baz: Foo[Concatenate[int, P]]) -> Foo[P]: ... def test(a: int, /, b: str) -> str: ... abc = Foo(test) reveal_type(abc) bar(abc) [builtins fixtures/paramspec.pyi] [out] main:14: note: Revealed type is "__main__.Foo[[builtins.int, b: builtins.str]]" [case testSolveParamSpecWithSelfType] from typing_extensions import ParamSpec, Concatenate from typing import Callable, Generic P = ParamSpec("P") class Foo(Generic[P]): def foo(self: 'Foo[P]', other: Callable[P, None]) -> None: ... n: Foo[[int]] def f(x: int) -> None: ... n.foo(f) [builtins fixtures/paramspec.pyi] [case testParamSpecLiteralsTypeApplication] from typing_extensions import ParamSpec from typing import Generic, Callable P = ParamSpec("P") class Z(Generic[P]): def __init__(self, c: Callable[P, None]) -> None: ... # it allows valid functions reveal_type(Z[[int]](lambda x: None)) # N: Revealed type is "__main__.Z[[builtins.int]]" reveal_type(Z[[]](lambda: None)) # N: Revealed type is "__main__.Z[[]]" reveal_type(Z[bytes, str](lambda b, s: None)) # N: Revealed type is "__main__.Z[[builtins.bytes, builtins.str]]" # it disallows invalid functions def f1(n: str) -> None: ... def f2(b: bytes, i: int) -> None: ... Z[[int]](lambda one, two: None) # E: Cannot infer type of lambda \ # E: Argument 1 to "Z" has incompatible type "Callable[[Any, Any], None]"; expected "Callable[[int], None]" Z[[int]](f1) # E: Argument 1 to "Z" has incompatible type "Callable[[str], None]"; expected "Callable[[int], None]" Z[[]](lambda one: None) # E: Cannot infer type of lambda \ # E: Argument 1 to "Z" has incompatible type "Callable[[Any], None]"; expected "Callable[[], None]" Z[bytes, str](lambda one: None) # E: Cannot infer type of lambda \ # E: Argument 1 to "Z" has incompatible type "Callable[[Any], None]"; expected "Callable[[bytes, str], None]" Z[bytes, str](f2) # E: Argument 1 to "Z" has incompatible type "Callable[[bytes, int], None]"; expected "Callable[[bytes, str], None]" [builtins fixtures/paramspec.pyi] [case testParamSpecLiteralEllipsis] from typing_extensions import ParamSpec from typing import Generic, Callable P = ParamSpec("P") class Z(Generic[P]): def __init__(self: 'Z[P]', c: Callable[P, None]) -> None: ... def f1() -> None: ... def f2(*args: int) -> None: ... def f3(a: int, *, b: bytes) -> None: ... def f4(b: bytes) -> None: ... argh: Callable[..., None] = f4 # check it works Z[...](f1) Z[...](f2) Z[...](f3) # check subtyping works n: Z[...] n = Z(f1) n = Z(f2) n = Z(f3) [builtins fixtures/paramspec.pyi] [case testParamSpecApplyConcatenateTwice] from typing_extensions import ParamSpec, Concatenate from typing import Generic, Callable, Optional P = ParamSpec("P") class C(Generic[P]): # think PhantomData from rust phantom: Optional[Callable[P, None]] def add_str(self) -> C[Concatenate[str, P]]: return C[Concatenate[str, P]]() def add_int(self) -> C[Concatenate[int, P]]: return C[Concatenate[int, P]]() def f(c: C[P]) -> None: reveal_type(c) # N: Revealed type is "__main__.C[P`-1]" n1 = c.add_str() reveal_type(n1) # N: Revealed type is "__main__.C[[builtins.str, **P`-1]]" n2 = n1.add_int() reveal_type(n2) # N: Revealed type is "__main__.C[[builtins.int, builtins.str, **P`-1]]" p1 = c.add_int() reveal_type(p1) # N: Revealed type is "__main__.C[[builtins.int, **P`-1]]" p2 = p1.add_str() reveal_type(p2) # N: Revealed type is "__main__.C[[builtins.str, builtins.int, **P`-1]]" [builtins fixtures/paramspec.pyi] [case testParamSpecLiteralJoin] from typing import Generic, Callable, Union from typing_extensions import ParamSpec _P = ParamSpec("_P") class Job(Generic[_P]): def __init__(self, target: Callable[_P, None]) -> None: self.target = target def func( action: Union[Job[int], Callable[[int], None]], ) -> None: job = action if isinstance(action, Job) else Job(action) reveal_type(job) # N: Revealed type is "__main__.Job[[builtins.int]]" [builtins fixtures/paramspec.pyi] [case testApplyParamSpecToParamSpecLiterals] from typing import TypeVar, Generic, Callable from typing_extensions import ParamSpec _P = ParamSpec("_P") _R_co = TypeVar("_R_co", covariant=True) class Job(Generic[_P, _R_co]): def __init__(self, target: Callable[_P, _R_co]) -> None: self.target = target def run_job(job: Job[_P, None], *args: _P.args, **kwargs: _P.kwargs) -> None: # N: "run_job" defined here ... def func(job: Job[[int, str], None]) -> None: run_job(job, 42, "Hello") run_job(job, "Hello", 42) # E: Argument 2 to "run_job" has incompatible type "str"; expected "int" \ # E: Argument 3 to "run_job" has incompatible type "int"; expected "str" run_job(job, 42, msg="Hello") # E: Unexpected keyword argument "msg" for "run_job" run_job(job, "Hello") # E: Too few arguments for "run_job" \ # E: Argument 2 to "run_job" has incompatible type "str"; expected "int" def func2(job: Job[..., None]) -> None: run_job(job, 42, "Hello") run_job(job, "Hello", 42) run_job(job, 42, msg="Hello") run_job(job, x=42, msg="Hello") [builtins fixtures/paramspec.pyi] [case testExpandNonBareParamSpecAgainstCallable] from typing import Callable, TypeVar, Any from typing_extensions import ParamSpec CallableT = TypeVar("CallableT", bound=Callable[..., Any]) _P = ParamSpec("_P") _R = TypeVar("_R") def simple_decorator(callable: CallableT) -> CallableT: # set some attribute on 'callable' return callable class A: @simple_decorator def func(self, action: Callable[_P, _R], *args: _P.args, **kwargs: _P.kwargs) -> _R: ... reveal_type(A.func) # N: Revealed type is "def [_P, _R] (self: __main__.A, action: def (*_P.args, **_P.kwargs) -> _R`4, *_P.args, **_P.kwargs) -> _R`4" reveal_type(A().func) # N: Revealed type is "def [_P, _R] (action: def (*_P.args, **_P.kwargs) -> _R`8, *_P.args, **_P.kwargs) -> _R`8" def f(x: int) -> int: ... reveal_type(A().func(f, 42)) # N: Revealed type is "builtins.int" reveal_type(A().func(lambda x: x + x, 42)) # N: Revealed type is "builtins.int" [builtins fixtures/paramspec.pyi] [case testParamSpecConstraintOnOtherParamSpec] from typing import Callable, TypeVar, Any, Generic from typing_extensions import ParamSpec CallableT = TypeVar("CallableT", bound=Callable[..., Any]) _P = ParamSpec("_P") _R_co = TypeVar("_R_co", covariant=True) def simple_decorator(callable: CallableT) -> CallableT: ... class Job(Generic[_P, _R_co]): def __init__(self, target: Callable[_P, _R_co]) -> None: ... class A: @simple_decorator def func(self, action: Job[_P, None]) -> Job[_P, None]: ... reveal_type(A.func) # N: Revealed type is "def [_P] (self: __main__.A, action: __main__.Job[_P`3, None]) -> __main__.Job[_P`3, None]" reveal_type(A().func) # N: Revealed type is "def [_P] (action: __main__.Job[_P`5, None]) -> __main__.Job[_P`5, None]" reveal_type(A().func(Job(lambda x: x))) # N: Revealed type is "__main__.Job[[x: Any], None]" def f(x: int, y: int) -> None: ... reveal_type(A().func(Job(f))) # N: Revealed type is "__main__.Job[[x: builtins.int, y: builtins.int], None]" [builtins fixtures/paramspec.pyi] [case testConstraintBetweenParamSpecFunctions1] from typing import Callable, TypeVar, Any, Generic from typing_extensions import ParamSpec _P = ParamSpec("_P") _R_co = TypeVar("_R_co", covariant=True) def simple_decorator(callable: Callable[_P, _R_co]) -> Callable[_P, _R_co]: ... class Job(Generic[_P]): ... @simple_decorator def func(__action: Job[_P]) -> Callable[_P, None]: ... reveal_type(func) # N: Revealed type is "def [_P] (__main__.Job[_P`-1]) -> def (*_P.args, **_P.kwargs)" [builtins fixtures/paramspec.pyi] [case testConstraintBetweenParamSpecFunctions2] from typing import Callable, TypeVar, Any, Generic from typing_extensions import ParamSpec CallableT = TypeVar("CallableT", bound=Callable[..., Any]) _P = ParamSpec("_P") def simple_decorator(callable: CallableT) -> CallableT: ... class Job(Generic[_P]): ... @simple_decorator def func(__action: Job[_P]) -> Callable[_P, None]: ... reveal_type(func) # N: Revealed type is "def [_P] (__main__.Job[_P`-1]) -> def (*_P.args, **_P.kwargs)" [builtins fixtures/paramspec.pyi] [case testConstraintsBetweenConcatenatePrefixes] from typing import Any, Callable, Generic, TypeVar from typing_extensions import Concatenate, ParamSpec _P = ParamSpec("_P") _T = TypeVar("_T") class Awaitable(Generic[_T]): ... def adds_await() -> Callable[ [Callable[Concatenate[_T, _P], None]], Callable[Concatenate[_T, _P], Awaitable[None]], ]: def decorator( func: Callable[Concatenate[_T, _P], None], ) -> Callable[Concatenate[_T, _P], Awaitable[None]]: ... return decorator # we want `_T` and `_P` to refer to the same things. [builtins fixtures/paramspec.pyi] [case testParamSpecVariance] from typing import Callable, Generic from typing_extensions import ParamSpec _P = ParamSpec("_P") class Job(Generic[_P]): def __init__(self, target: Callable[_P, None]) -> None: ... def into_callable(self) -> Callable[_P, None]: ... class A: def func(self, var: int) -> None: ... def other_func(self, job: Job[[int]]) -> None: ... job = Job(A().func) reveal_type(job) # N: Revealed type is "__main__.Job[[var: builtins.int]]" A().other_func(job) # This should NOT error (despite the keyword) # and yet the keyword should remain job.into_callable()(var=42) job.into_callable()(x=42) # E: Unexpected keyword argument "x" # similar for other functions def f1(n: object) -> None: ... def f2(n: int) -> None: ... def f3(n: bool) -> None: ... # just like how this is legal... a1: Callable[[bool], None] a1 = f3 a1 = f2 a1 = f1 # ... this is also legal a2: Job[[bool]] a2 = Job(f3) a2 = Job(f2) a2 = Job(f1) # and this is not legal def f4(n: bytes) -> None: ... a1 = f4 # E: Incompatible types in assignment (expression has type "Callable[[bytes], None]", variable has type "Callable[[bool], None]") a2 = Job(f4) # E: Argument 1 to "Job" has incompatible type "Callable[[bytes], None]"; expected "Callable[[bool], None]" # nor is this: a4: Job[[int]] a4 = Job(f3) # E: Argument 1 to "Job" has incompatible type "Callable[[bool], None]"; expected "Callable[[int], None]" a4 = Job(f2) a4 = Job(f1) # just like this: a3: Callable[[int], None] a3 = f3 # E: Incompatible types in assignment (expression has type "Callable[[bool], None]", variable has type "Callable[[int], None]") a3 = f2 a3 = f1 [builtins fixtures/paramspec.pyi] [case testDecoratingClassesThatUseParamSpec] from typing import Generic, TypeVar, Callable, Any from typing_extensions import ParamSpec _P = ParamSpec("_P") _T = TypeVar("_T") _F = TypeVar("_F", bound=Callable[..., Any]) def f(x: _F) -> _F: ... @f # Should be ok class OnlyParamSpec(Generic[_P]): pass @f # Should be ok class MixedWithTypeVar1(Generic[_P, _T]): pass @f # Should be ok class MixedWithTypeVar2(Generic[_T, _P]): pass [builtins fixtures/dict.pyi] [case testGenericsInInferredParamspec] from typing import Callable, TypeVar, Generic from typing_extensions import ParamSpec _P = ParamSpec("_P") _T = TypeVar("_T") class Job(Generic[_P]): def __init__(self, target: Callable[_P, None]) -> None: ... def into_callable(self) -> Callable[_P, None]: ... def generic_f(x: _T) -> None: ... j = Job(generic_f) reveal_type(j) # N: Revealed type is "__main__.Job[[x: _T`-1]]" jf = j.into_callable() reveal_type(jf) # N: Revealed type is "def [_T] (x: _T`4)" reveal_type(jf(1)) # N: Revealed type is "None" [builtins fixtures/paramspec.pyi] [case testGenericsInInferredParamspecReturn] from typing import Callable, TypeVar, Generic from typing_extensions import ParamSpec _P = ParamSpec("_P") _T = TypeVar("_T") class Job(Generic[_P, _T]): def __init__(self, target: Callable[_P, _T]) -> None: ... def into_callable(self) -> Callable[_P, _T]: ... def generic_f(x: _T) -> _T: ... j = Job(generic_f) reveal_type(j) # N: Revealed type is "__main__.Job[[x: _T`3], _T`3]" jf = j.into_callable() reveal_type(jf) # N: Revealed type is "def [_T] (x: _T`4) -> _T`4" reveal_type(jf(1)) # N: Revealed type is "builtins.int" [builtins fixtures/paramspec.pyi] [case testStackedConcatenateIsIllegal] from typing_extensions import Concatenate, ParamSpec from typing import Callable P = ParamSpec("P") def x(f: Callable[Concatenate[int, Concatenate[int, P]], None]) -> None: ... # E: Nested Concatenates are invalid [builtins fixtures/paramspec.pyi] [case testPropagatedAnyConstraintsAreOK] from typing import Any, Callable, Generic, TypeVar from typing_extensions import ParamSpec T = TypeVar("T") P = ParamSpec("P") def callback(func: Callable[[Any], Any]) -> None: ... class Job(Generic[P]): ... @callback def run_job(job: Job[...]) -> T: ... # E: A function returning TypeVar should receive at least one argument containing the same TypeVar [builtins fixtures/tuple.pyi] [case testTupleAndDictOperationsOnParamSpecArgsAndKwargs] from typing import Callable, Iterator, Iterable, TypeVar, Tuple from typing_extensions import ParamSpec P = ParamSpec('P') T = TypeVar('T') def enumerate(x: Iterable[T]) -> Iterator[Tuple[int, T]]: ... def func(callback: Callable[P, str]) -> Callable[P, str]: def inner(*args: P.args, **kwargs: P.kwargs) -> str: reveal_type(args[5]) # N: Revealed type is "builtins.object" for a in args: reveal_type(a) # N: Revealed type is "builtins.object" for idx, a in enumerate(args): reveal_type(idx) # N: Revealed type is "builtins.int" reveal_type(a) # N: Revealed type is "builtins.object" b = 'foo' in args reveal_type(b) # N: Revealed type is "builtins.bool" reveal_type(args.count(42)) # N: Revealed type is "builtins.int" reveal_type(len(args)) # N: Revealed type is "builtins.int" for c, d in kwargs.items(): reveal_type(c) # N: Revealed type is "builtins.str" reveal_type(d) # N: Revealed type is "builtins.object" kwargs.pop('bar') return 'baz' return inner [builtins fixtures/paramspec.pyi] [case testUnpackingParamsSpecArgsAndKwargs] from typing import Callable from typing_extensions import ParamSpec P = ParamSpec("P") def func(callback: Callable[P, str]) -> Callable[P, str]: def inner(*args: P.args, **kwargs: P.kwargs) -> str: a, *b = args reveal_type(a) # N: Revealed type is "builtins.object" reveal_type(b) # N: Revealed type is "builtins.list[builtins.object]" c, *d = kwargs reveal_type(c) # N: Revealed type is "builtins.str" reveal_type(d) # N: Revealed type is "builtins.list[builtins.str]" e = {**kwargs} reveal_type(e) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" return "foo" return inner [builtins fixtures/paramspec.pyi] [case testParamSpecArgsAndKwargsMismatch] from typing import Callable from typing_extensions import ParamSpec P1 = ParamSpec("P1") def func(callback: Callable[P1, str]) -> Callable[P1, str]: def inner( *args: P1.kwargs, # E: Use "P1.args" for variadic "*" parameter **kwargs: P1.args, # E: Use "P1.kwargs" for variadic "**" parameter ) -> str: return "foo" return inner [builtins fixtures/paramspec.pyi] [case testParamSpecTestPropAccess] from typing import Callable from typing_extensions import ParamSpec P1 = ParamSpec("P1") def func1(callback: Callable[P1, str]) -> Callable[P1, str]: def inner( *args: P1.typo, # E: Use "P1.args" for variadic "*" parameter \ # E: Name "P1.typo" is not defined **kwargs: P1.kwargs, ) -> str: return "foo" return inner def func2(callback: Callable[P1, str]) -> Callable[P1, str]: def inner( *args: P1.args, **kwargs: P1.__bound__, # E: Use "P1.kwargs" for variadic "**" parameter \ # E: Name "P1.__bound__" is not defined ) -> str: return "foo" return inner def func3(callback: Callable[P1, str]) -> Callable[P1, str]: def inner( *args: P1.__bound__, # E: Use "P1.args" for variadic "*" parameter \ # E: Name "P1.__bound__" is not defined **kwargs: P1.invalid, # E: Use "P1.kwargs" for variadic "**" parameter \ # E: Name "P1.invalid" is not defined ) -> str: return "foo" return inner [builtins fixtures/paramspec.pyi] [case testInvalidParamSpecDefinitionsWithArgsKwargs] from typing import Callable, ParamSpec P = ParamSpec('P') def c1(f: Callable[P, int], *args: P.args, **kwargs: P.kwargs) -> int: ... def c2(f: Callable[P, int]) -> int: ... def c3(f: Callable[P, int], *args, **kwargs) -> int: ... # It is ok to define, def c4(f: Callable[P, int], *args: int, **kwargs: str) -> int: # but not ok to call: f(*args, **kwargs) # E: Argument 1 has incompatible type "*tuple[int, ...]"; expected "P.args" \ # E: Argument 2 has incompatible type "**dict[str, str]"; expected "P.kwargs" return 1 def f1(f: Callable[P, int], *args, **kwargs: P.kwargs) -> int: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" def f2(f: Callable[P, int], *args: P.args, **kwargs) -> int: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" def f3(f: Callable[P, int], *args: P.args) -> int: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" def f4(f: Callable[P, int], **kwargs: P.kwargs) -> int: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" def f5(f: Callable[P, int], *args: P.args, extra_keyword_arg: int, **kwargs: P.kwargs) -> int: ... # E: Arguments not allowed after ParamSpec.args # Error message test: P1 = ParamSpec('P1') def m1(f: Callable[P1, int], *a, **k: P1.kwargs) -> int: ... # E: ParamSpec must have "*args" typed as "P1.args" and "**kwargs" typed as "P1.kwargs" [builtins fixtures/paramspec.pyi] [case testInvalidParamSpecAndConcatenateDefinitionsWithArgsKwargs] from typing import Callable, ParamSpec from typing_extensions import Concatenate P = ParamSpec('P') def c1(f: Callable[Concatenate[int, P], int], *args: P.args, **kwargs: P.kwargs) -> int: ... def c2(f: Callable[Concatenate[int, P], int]) -> int: ... def c3(f: Callable[Concatenate[int, P], int], *args, **kwargs) -> int: ... # It is ok to define, def c4(f: Callable[Concatenate[int, P], int], *args: int, **kwargs: str) -> int: # but not ok to call: f(1, *args, **kwargs) # E: Argument 2 has incompatible type "*tuple[int, ...]"; expected "P.args" \ # E: Argument 3 has incompatible type "**dict[str, str]"; expected "P.kwargs" return 1 def f1(f: Callable[Concatenate[int, P], int], *args, **kwargs: P.kwargs) -> int: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" def f2(f: Callable[Concatenate[int, P], int], *args: P.args, **kwargs) -> int: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" def f3(f: Callable[Concatenate[int, P], int], *args: P.args) -> int: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" def f4(f: Callable[Concatenate[int, P], int], **kwargs: P.kwargs) -> int: ... # E: ParamSpec must have "*args" typed as "P.args" and "**kwargs" typed as "P.kwargs" def f5(f: Callable[Concatenate[int, P], int], *args: P.args, extra_keyword_arg: int, **kwargs: P.kwargs) -> int: ... # E: Arguments not allowed after ParamSpec.args [builtins fixtures/paramspec.pyi] [case testValidParamSpecInsideGenericWithoutArgsAndKwargs] from typing import Callable, ParamSpec, Generic from typing_extensions import Concatenate P = ParamSpec('P') class Some(Generic[P]): ... def create(s: Some[P], *args: int): ... def update(s: Some[P], **kwargs: int): ... def delete(s: Some[P]): ... def from_callable1(c: Callable[P, int], *args: int, **kwargs: int) -> Some[P]: ... def from_callable2(c: Callable[P, int], **kwargs: int) -> Some[P]: ... def from_callable3(c: Callable[P, int], *args: int) -> Some[P]: ... def from_extra1(c: Callable[Concatenate[int, P], int], *args: int, **kwargs: int) -> Some[P]: ... def from_extra2(c: Callable[Concatenate[int, P], int], **kwargs: int) -> Some[P]: ... def from_extra3(c: Callable[Concatenate[int, P], int], *args: int) -> Some[P]: ... [builtins fixtures/paramspec.pyi] [case testUnboundParamSpec] from typing import Callable, ParamSpec P1 = ParamSpec('P1') P2 = ParamSpec('P2') def f0(f: Callable[P1, int], *args: P1.args, **kwargs: P2.kwargs): ... # E: ParamSpec must have "*args" typed as "P1.args" and "**kwargs" typed as "P1.kwargs" \ # E: ParamSpec "P2" is unbound def f1(*args: P1.args): ... # E: ParamSpec "P1" is unbound def f2(**kwargs: P1.kwargs): ... # E: ParamSpec "P1" is unbound def f3(*args: P1.args, **kwargs: int): ... # E: ParamSpec "P1" is unbound def f4(*args: int, **kwargs: P1.kwargs): ... # E: ParamSpec "P1" is unbound # Error message is based on the `args` definition: def f5(*args: P2.args, **kwargs: P1.kwargs): ... # E: ParamSpec "P2" is unbound \ # E: ParamSpec "P1" is unbound def f6(*args: P1.args, **kwargs: P2.kwargs): ... # E: ParamSpec "P1" is unbound \ # E: ParamSpec "P2" is unbound # Multiple `ParamSpec` variables can be found, they should not affect error message: P3 = ParamSpec('P3') def f7(first: Callable[P3, int], *args: P1.args, **kwargs: P2.kwargs): ... # E: ParamSpec "P1" is unbound \ # E: ParamSpec "P2" is unbound def f8(first: Callable[P3, int], *args: P2.args, **kwargs: P1.kwargs): ... # E: ParamSpec "P2" is unbound \ # E: ParamSpec "P1" is unbound [builtins fixtures/paramspec.pyi] [case testArgsKwargsWithoutParamSpecVar] from typing import Generic, Callable, ParamSpec P = ParamSpec('P') # This must be allowed: class Some(Generic[P]): def call(self, *args: P.args, **kwargs: P.kwargs): ... def call(*args: P.args, **kwargs: P.kwargs): ... # E: ParamSpec "P" is unbound [builtins fixtures/paramspec.pyi] [case testParamSpecInferenceCrash] from typing import Callable, Generic, ParamSpec, TypeVar def foo(x: int) -> int: ... T = TypeVar("T") def bar(x: T) -> T: ... P = ParamSpec("P") class C(Generic[P]): def __init__(self, fn: Callable[P, int], *args: P.args, **kwargs: P.kwargs): ... reveal_type(bar(C(fn=foo, x=1))) # N: Revealed type is "__main__.C[[x: builtins.int]]" [builtins fixtures/paramspec.pyi] [case testParamSpecClassConstructor] from typing import ParamSpec, Callable, TypeVar P = ParamSpec("P") class SomeClass: def __init__(self, a: str) -> None: pass def func(t: Callable[P, SomeClass], val: Callable[P, SomeClass]) -> Callable[P, SomeClass]: pass def func_regular(t: Callable[[T], SomeClass], val: Callable[[T], SomeClass]) -> Callable[[T], SomeClass]: pass def constructor(a: str) -> SomeClass: return SomeClass(a) def wrong_constructor(a: bool) -> SomeClass: return SomeClass("a") def wrong_name_constructor(b: bool) -> SomeClass: return SomeClass("a") func(SomeClass, constructor) reveal_type(func(SomeClass, wrong_constructor)) # N: Revealed type is "def (a: Never) -> __main__.SomeClass" reveal_type(func_regular(SomeClass, wrong_constructor)) # N: Revealed type is "def (Never) -> __main__.SomeClass" reveal_type(func(SomeClass, wrong_name_constructor)) # N: Revealed type is "def (Never) -> __main__.SomeClass" [builtins fixtures/paramspec.pyi] [case testParamSpecInTypeAliasBasic] from typing import ParamSpec, Callable P = ParamSpec("P") C = Callable[P, int] def f(n: C[P]) -> C[P]: ... @f def bar(x: int) -> int: ... @f # E: Argument 1 to "f" has incompatible type "Callable[[int], str]"; expected "Callable[[int], int]" def foo(x: int) -> str: ... x: C[[int, str]] reveal_type(x) # N: Revealed type is "def (builtins.int, builtins.str) -> builtins.int" y: C[int, str] reveal_type(y) # N: Revealed type is "def (builtins.int, builtins.str) -> builtins.int" [builtins fixtures/paramspec.pyi] [case testParamSpecInTypeAliasConcatenate] from typing import ParamSpec, Callable from typing_extensions import Concatenate P = ParamSpec("P") C = Callable[Concatenate[int, P], int] def f(n: C[P]) -> C[P]: ... @f # E: Argument 1 to "f" has incompatible type "Callable[[], int]"; expected "Callable[[int], int]" def bad() -> int: ... @f def bar(x: int) -> int: ... @f def bar2(x: int, y: str) -> int: ... reveal_type(bar2) # N: Revealed type is "def (builtins.int, y: builtins.str) -> builtins.int" @f # E: Argument 1 to "f" has incompatible type "Callable[[int], str]"; expected "Callable[[int], int]" \ # N: This is likely because "foo" has named arguments: "x". Consider marking them positional-only def foo(x: int) -> str: ... @f # E: Argument 1 to "f" has incompatible type "Callable[[str, int], int]"; expected "Callable[[int, int], int]" \ # N: This is likely because "foo2" has named arguments: "x". Consider marking them positional-only def foo2(x: str, y: int) -> int: ... x: C[[int, str]] reveal_type(x) # N: Revealed type is "def (builtins.int, builtins.int, builtins.str) -> builtins.int" y: C[int, str] reveal_type(y) # N: Revealed type is "def (builtins.int, builtins.int, builtins.str) -> builtins.int" [builtins fixtures/paramspec.pyi] [case testParamSpecInTypeAliasIllegalBare] from typing import ParamSpec from typing_extensions import Concatenate, TypeAlias P = ParamSpec("P") Bad1: TypeAlias = P # E: Invalid location for ParamSpec "P" \ # N: You can use ParamSpec as the first argument to Callable, e.g., "Callable[P, int]" Bad2: TypeAlias = Concatenate[int, P] # E: Invalid location for Concatenate \ # N: You can use Concatenate as the first argument to Callable [builtins fixtures/paramspec.pyi] [case testParamSpecInTypeAliasRecursive] from typing import ParamSpec, Callable, Union P = ParamSpec("P") C = Callable[P, Union[int, C[P]]] def f(n: C[P]) -> C[P]: ... @f def bar(x: int) -> int: ... @f def bar2(__x: int) -> Callable[[int], int]: ... @f # E: Argument 1 to "f" has incompatible type "Callable[[int], str]"; expected "C[[int]]" def foo(x: int) -> str: ... @f # E: Argument 1 to "f" has incompatible type "Callable[[int], Callable[[int], str]]"; expected "C[[int]]" def foo2(__x: int) -> Callable[[int], str]: ... x: C[[int, str]] reveal_type(x) # N: Revealed type is "def (builtins.int, builtins.str) -> Union[builtins.int, ...]" y: C[int, str] reveal_type(y) # N: Revealed type is "def (builtins.int, builtins.str) -> Union[builtins.int, ...]" [builtins fixtures/paramspec.pyi] [case testParamSpecAliasInRuntimeContext] from typing import ParamSpec, Generic P = ParamSpec("P") class C(Generic[P]): ... c = C[int, str]() reveal_type(c) # N: Revealed type is "__main__.C[[builtins.int, builtins.str]]" A = C[P] a = A[int, str]() reveal_type(a) # N: Revealed type is "__main__.C[[builtins.int, builtins.str]]" [builtins fixtures/paramspec.pyi] [case testParamSpecAliasInvalidLocations] from typing import ParamSpec, Generic, List, TypeVar, Callable P = ParamSpec("P") T = TypeVar("T") A = List[T] def f(x: A[[int, str]]) -> None: ... # E: Bracketed expression "[...]" is not valid as a type def g(x: A[P]) -> None: ... # E: Invalid location for ParamSpec "P" \ # N: You can use ParamSpec as the first argument to Callable, e.g., "Callable[P, int]" C = Callable[P, T] x: C[int] # E: Bad number of arguments for type alias, expected 2, given 1 y: C[int, str] # E: Can only replace ParamSpec with a parameter types list or another ParamSpec, got "int" z: C[int, str, bytes] # E: Bad number of arguments for type alias, expected 2, given 3 [builtins fixtures/paramspec.pyi] [case testTrivialParametersHandledCorrectly] from typing import ParamSpec, Generic, TypeVar, Callable, Any from typing_extensions import Concatenate P = ParamSpec("P") T = TypeVar("T") S = TypeVar("S") class C(Generic[S, P, T]): ... def foo(f: Callable[P, int]) -> None: x: C[Any, ..., Any] x1: C[int, Concatenate[int, str, P], str] x = x1 # OK [builtins fixtures/paramspec.pyi] [case testParamSpecAliasNested] from typing import ParamSpec, Callable, List, TypeVar, Generic from typing_extensions import Concatenate P = ParamSpec("P") A = List[Callable[P, None]] B = List[Callable[Concatenate[int, P], None]] fs: A[int, str] reveal_type(fs) # N: Revealed type is "builtins.list[def (builtins.int, builtins.str)]" gs: B[int, str] reveal_type(gs) # N: Revealed type is "builtins.list[def (builtins.int, builtins.int, builtins.str)]" T = TypeVar("T") class C(Generic[T]): ... C[Callable[P, int]]() [builtins fixtures/paramspec.pyi] [case testConcatDeferralNoCrash] from typing import Callable, TypeVar from typing_extensions import Concatenate, ParamSpec P = ParamSpec("P") T = TypeVar("T", bound="Defer") Alias = Callable[P, bool] Concat = Alias[Concatenate[T, P]] def test(f: Concat[T, ...]) -> None: ... class Defer: ... [builtins fixtures/paramspec.pyi] [case testNoParamSpecDoubling] # https://github.com/python/mypy/issues/12734 from typing import Callable, ParamSpec from typing_extensions import Concatenate P = ParamSpec("P") Q = ParamSpec("Q") def foo(f: Callable[P, int]) -> Callable[P, int]: return f def bar(f: Callable[Concatenate[str, Q], int]) -> Callable[Concatenate[str, Q], int]: return foo(f) [builtins fixtures/paramspec.pyi] [case testAlreadyExpandedCallableWithParamSpecReplacement] from typing import Callable, Any, overload from typing_extensions import Concatenate, ParamSpec P = ParamSpec("P") @overload def command() -> Callable[[Callable[Concatenate[object, object, P], object]], None]: ... @overload def command( cls: int = ..., ) -> Callable[[Callable[Concatenate[object, P], object]], None]: ... def command( cls: int = 42, ) -> Any: ... [builtins fixtures/paramspec.pyi] [case testCopiedParamSpecComparison] # minimized from https://github.com/python/mypy/issues/12909 from typing import Callable from typing_extensions import ParamSpec P = ParamSpec("P") def identity(func: Callable[P, None]) -> Callable[P, None]: ... @identity def f(f: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... [builtins fixtures/paramspec.pyi] [case testParamSpecDecoratorAppliedToGeneric] from typing import Callable, List, TypeVar from typing_extensions import ParamSpec P = ParamSpec("P") T = TypeVar("T") U = TypeVar("U") def dec(f: Callable[P, T]) -> Callable[P, List[T]]: ... def test(x: U) -> U: ... reveal_type(dec) # N: Revealed type is "def [P, T] (f: def (*P.args, **P.kwargs) -> T`-2) -> def (*P.args, **P.kwargs) -> builtins.list[T`-2]" reveal_type(dec(test)) # N: Revealed type is "def [T] (x: T`3) -> builtins.list[T`3]" class A: ... TA = TypeVar("TA", bound=A) def test_with_bound(x: TA) -> TA: ... reveal_type(dec(test_with_bound)) # N: Revealed type is "def [T <: __main__.A] (x: T`5) -> builtins.list[T`5]" dec(test_with_bound)(0) # E: Value of type variable "T" of function cannot be "int" dec(test_with_bound)(A()) # OK [builtins fixtures/paramspec.pyi] [case testParamSpecArgumentParamInferenceRegular] from typing import TypeVar, Generic from typing_extensions import ParamSpec P = ParamSpec("P") class Foo(Generic[P]): def call(self, *args: P.args, **kwargs: P.kwargs) -> None: ... def test(*args: P.args, **kwargs: P.kwargs) -> Foo[P]: ... reveal_type(test(1, 2)) # N: Revealed type is "__main__.Foo[[Literal[1]?, Literal[2]?]]" reveal_type(test(x=1, y=2)) # N: Revealed type is "__main__.Foo[[x: Literal[1]?, y: Literal[2]?]]" ints = [1, 2, 3] reveal_type(test(*ints)) # N: Revealed type is "__main__.Foo[[*builtins.int]]" [builtins fixtures/paramspec.pyi] [case testParamSpecArgumentParamInferenceGeneric] from typing import Callable, TypeVar from typing_extensions import ParamSpec P = ParamSpec("P") R = TypeVar("R") def call(f: Callable[P, R], *args: P.args, **kwargs: P.kwargs) -> R: return f(*args, **kwargs) T = TypeVar("T") def identity(x: T) -> T: return x reveal_type(call(identity, 2)) # N: Revealed type is "builtins.int" y: int = call(identity, 2) [builtins fixtures/paramspec.pyi] [case testParamSpecNestedApplyNoCrash] from typing import Callable, TypeVar from typing_extensions import ParamSpec P = ParamSpec("P") T = TypeVar("T") def apply(fn: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: ... def test() -> int: ... reveal_type(apply(apply, test)) # N: Revealed type is "builtins.int" [builtins fixtures/paramspec.pyi] [case testParamSpecNestedApplyPosVsNamed] from typing import Callable, TypeVar from typing_extensions import ParamSpec P = ParamSpec("P") T = TypeVar("T") def apply(fn: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> None: ... def test(x: int) -> int: ... apply(apply, test, x=42) # OK apply(apply, test, 42) # Also OK (but requires some special casing) apply(apply, test, "bad") # E: Argument 1 to "apply" has incompatible type "Callable[[Callable[P, T], **P], None]"; expected "Callable[[Callable[[int], int], str], None]" def test2(x: int, y: str) -> None: ... apply(apply, test2, 42, "yes") apply(apply, test2, "no", 42) # E: Argument 1 to "apply" has incompatible type "Callable[[Callable[P, T], **P], None]"; expected "Callable[[Callable[[int, str], None], str, int], None]" apply(apply, test2, x=42, y="yes") apply(apply, test2, y="yes", x=42) apply(apply, test2, y=42, x="no") # E: Argument 1 to "apply" has incompatible type "Callable[[Callable[P, T], **P], None]"; expected "Callable[[Callable[[int, str], None], int, str], None]" [builtins fixtures/paramspec.pyi] [case testParamSpecApplyPosVsNamedOptional] from typing import Callable, TypeVar from typing_extensions import ParamSpec P = ParamSpec("P") T = TypeVar("T") def apply(fn: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> None: ... def test(x: str = ..., y: int = ...) -> int: ... apply(test, y=42) # OK [builtins fixtures/paramspec.pyi] [case testParamSpecPrefixSubtypingGenericInvalid] from typing import Generic from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class A(Generic[P]): def foo(self, *args: P.args, **kwargs: P.kwargs): ... def bar(b: A[P]) -> A[Concatenate[int, P]]: return b # E: Incompatible return value type (got "A[P]", expected "A[[int, **P]]") [builtins fixtures/paramspec.pyi] [case testParamSpecPrefixSubtypingProtocolInvalid] from typing import Protocol from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class A(Protocol[P]): def foo(self, *args: P.args, **kwargs: P.kwargs): ... def bar(b: A[P]) -> A[Concatenate[int, P]]: return b # E: Incompatible return value type (got "A[P]", expected "A[[int, **P]]") \ # N: Following member(s) of "A[P]" have conflicts: \ # N: Expected: \ # N: def foo(self, int, /, *args: P.args, **kwargs: P.kwargs) -> Any \ # N: Got: \ # N: def foo(self, *args: P.args, **kwargs: P.kwargs) -> Any [builtins fixtures/paramspec.pyi] [case testParamSpecPrefixSubtypingValidNonStrict] from typing import Protocol from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class A(Protocol[P]): def foo(self, a: int, *args: P.args, **kwargs: P.kwargs): ... class B(Protocol[P]): def foo(self, a: int, b: int, *args: P.args, **kwargs: P.kwargs): ... def bar(b: B[P]) -> A[Concatenate[int, P]]: return b [builtins fixtures/paramspec.pyi] [case testParamSpecPrefixSubtypingInvalidStrict] # flags: --extra-checks from typing import Protocol from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class A(Protocol[P]): def foo(self, a: int, *args: P.args, **kwargs: P.kwargs): ... class B(Protocol[P]): def foo(self, a: int, b: int, *args: P.args, **kwargs: P.kwargs): ... def bar(b: B[P]) -> A[Concatenate[int, P]]: return b # E: Incompatible return value type (got "B[P]", expected "A[[int, **P]]") \ # N: Following member(s) of "B[P]" have conflicts: \ # N: Expected: \ # N: def foo(self, a: int, int, /, *args: P.args, **kwargs: P.kwargs) -> Any \ # N: Got: \ # N: def foo(self, a: int, b: int, *args: P.args, **kwargs: P.kwargs) -> Any [builtins fixtures/paramspec.pyi] [case testParamSpecDecoratorOverload] from typing import Callable, overload, TypeVar, List from typing_extensions import ParamSpec P = ParamSpec("P") T = TypeVar("T") def transform(func: Callable[P, List[T]]) -> Callable[P, T]: ... @overload def foo(x: int) -> List[float]: ... @overload def foo(x: str) -> List[str]: ... def foo(x): ... reveal_type(transform(foo)) # N: Revealed type is "Overload(def (x: builtins.int) -> builtins.float, def (x: builtins.str) -> builtins.str)" @transform @overload def bar(x: int) -> List[float]: ... @transform @overload def bar(x: str) -> List[str]: ... @transform def bar(x): ... reveal_type(bar) # N: Revealed type is "Overload(def (x: builtins.int) -> builtins.float, def (x: builtins.str) -> builtins.str)" [builtins fixtures/paramspec.pyi] [case testParamSpecDecoratorOverloadNoCrashOnInvalidTypeVar] from typing import Any, Callable, List from typing_extensions import ParamSpec P = ParamSpec("P") T = 1 Alias = Callable[P, List[T]] # type: ignore def dec(fn: Callable[P, T]) -> Alias[P, T]: ... # type: ignore f: Any dec(f) # No crash [builtins fixtures/paramspec.pyi] [case testParamSpecErrorNestedParams] from typing import Generic from typing_extensions import ParamSpec P = ParamSpec("P") class C(Generic[P]): ... c: C[int, [int, str], str] # E: Nested parameter specifications are not allowed reveal_type(c) # N: Revealed type is "__main__.C[Any]" [builtins fixtures/paramspec.pyi] [case testParamSpecInheritNoCrashOnNested] from typing import Generic from typing_extensions import ParamSpec P = ParamSpec("P") class C(Generic[P]): ... class D(C[int, [int, str], str]): ... # E: Nested parameter specifications are not allowed [builtins fixtures/paramspec.pyi] [case testParamSpecConcatenateSelfType] from typing import Callable from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class A: def __init__(self, a_param_1: str) -> None: ... @classmethod def add_params(cls: Callable[P, A]) -> Callable[Concatenate[float, P], A]: def new_constructor(i: float, *args: P.args, **kwargs: P.kwargs) -> A: return cls(*args, **kwargs) return new_constructor @classmethod def remove_params(cls: Callable[Concatenate[str, P], A]) -> Callable[P, A]: def new_constructor(*args: P.args, **kwargs: P.kwargs) -> A: return cls("my_special_str", *args, **kwargs) return new_constructor reveal_type(A.add_params()) # N: Revealed type is "def (builtins.float, a_param_1: builtins.str) -> __main__.A" reveal_type(A.remove_params()) # N: Revealed type is "def () -> __main__.A" [builtins fixtures/paramspec.pyi] [case testParamSpecConcatenateCallbackProtocol] from typing import Protocol, TypeVar from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") R = TypeVar("R", covariant=True) class Path: ... class Function(Protocol[P, R]): def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R: ... def file_cache(fn: Function[Concatenate[Path, P], R]) -> Function[P, R]: def wrapper(*args: P.args, **kw: P.kwargs) -> R: return fn(Path(), *args, **kw) return wrapper @file_cache def get_thing(path: Path, *, some_arg: int) -> int: ... reveal_type(get_thing) # N: Revealed type is "__main__.Function[[*, some_arg: builtins.int], builtins.int]" get_thing(some_arg=1) # OK [builtins fixtures/paramspec.pyi] [case testParamSpecConcatenateKeywordOnly] from typing import Callable, TypeVar from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") R = TypeVar("R") class Path: ... def file_cache(fn: Callable[Concatenate[Path, P], R]) -> Callable[P, R]: def wrapper(*args: P.args, **kw: P.kwargs) -> R: return fn(Path(), *args, **kw) return wrapper @file_cache def get_thing(path: Path, *, some_arg: int) -> int: ... reveal_type(get_thing) # N: Revealed type is "def (*, some_arg: builtins.int) -> builtins.int" get_thing(some_arg=1) # OK [builtins fixtures/paramspec.pyi] [case testParamSpecConcatenateCallbackApply] from typing import Callable, Protocol from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class FuncType(Protocol[P]): def __call__(self, x: int, s: str, *args: P.args, **kw_args: P.kwargs) -> str: ... def forwarder1(fp: FuncType[P], *args: P.args, **kw_args: P.kwargs) -> str: return fp(0, '', *args, **kw_args) def forwarder2(fp: Callable[Concatenate[int, str, P], str], *args: P.args, **kw_args: P.kwargs) -> str: return fp(0, '', *args, **kw_args) def my_f(x: int, s: str, d: bool) -> str: ... forwarder1(my_f, True) # OK forwarder2(my_f, True) # OK forwarder1(my_f, 1.0) # E: Argument 2 to "forwarder1" has incompatible type "float"; expected "bool" forwarder2(my_f, 1.0) # E: Argument 2 to "forwarder2" has incompatible type "float"; expected "bool" [builtins fixtures/paramspec.pyi] [case testParamSpecCallbackProtocolSelf] from typing import Callable, Protocol, TypeVar from typing_extensions import ParamSpec, Concatenate Params = ParamSpec("Params") Result = TypeVar("Result", covariant=True) class FancyMethod(Protocol): def __call__(self, arg1: int, arg2: str) -> bool: ... def return_me(self: Callable[Params, Result]) -> Callable[Params, Result]: ... def return_part(self: Callable[Concatenate[int, Params], Result]) -> Callable[Params, Result]: ... m: FancyMethod reveal_type(m.return_me()) # N: Revealed type is "def (arg1: builtins.int, arg2: builtins.str) -> builtins.bool" reveal_type(m.return_part()) # N: Revealed type is "def (arg2: builtins.str) -> builtins.bool" [builtins fixtures/paramspec.pyi] [case testParamSpecInferenceCallableAgainstAny] from typing import Callable, TypeVar, Any from typing_extensions import ParamSpec, Concatenate _P = ParamSpec("_P") _R = TypeVar("_R") class A: ... a = A() def a_func( func: Callable[Concatenate[A, _P], _R], ) -> Callable[Concatenate[Any, _P], _R]: def wrapper(__a: Any, *args: _P.args, **kwargs: _P.kwargs) -> _R: return func(a, *args, **kwargs) return wrapper def test(a, *args): ... x: Any y: object a_func(test) x = a_func(test) y = a_func(test) [builtins fixtures/paramspec.pyi] [case testParamSpecInferenceWithCallbackProtocol] from typing import Protocol, Callable, ParamSpec class CB(Protocol): def __call__(self, x: str, y: int) -> None: ... P = ParamSpec('P') def g(fn: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... cb: CB g(cb, y=0, x='a') # OK g(cb, y='a', x=0) # E: Argument "y" to "g" has incompatible type "str"; expected "int" \ # E: Argument "x" to "g" has incompatible type "int"; expected "str" [builtins fixtures/paramspec.pyi] [case testParamSpecBadRuntimeTypeApplication] from typing import ParamSpec, TypeVar, Generic, Callable R = TypeVar("R") P = ParamSpec("P") class C(Generic[P, R]): x: Callable[P, R] bad = C[int, str]() # E: Can only replace ParamSpec with a parameter types list or another ParamSpec, got "int" reveal_type(bad) # N: Revealed type is "__main__.C[Any, Any]" reveal_type(bad.x) # N: Revealed type is "def (*Any, **Any) -> Any" [builtins fixtures/paramspec.pyi] [case testParamSpecNoCrashOnUnificationAlias] import mod [file mod.pyi] from typing import Callable, Protocol, TypeVar, overload from typing_extensions import ParamSpec P = ParamSpec("P") R_co = TypeVar("R_co", covariant=True) Handler = Callable[P, R_co] class HandlerDecorator(Protocol): def __call__(self, handler: Handler[P, R_co]) -> Handler[P, R_co]: ... @overload def event(event_handler: Handler[P, R_co]) -> Handler[P, R_co]: ... @overload def event(namespace: str, *args, **kwargs) -> HandlerDecorator: ... [builtins fixtures/paramspec.pyi] [case testParamSpecNoCrashOnUnificationCallable] import mod [file mod.pyi] from typing import Callable, Protocol, TypeVar, overload from typing_extensions import ParamSpec P = ParamSpec("P") R_co = TypeVar("R_co", covariant=True) class HandlerDecorator(Protocol): def __call__(self, handler: Callable[P, R_co]) -> Callable[P, R_co]: ... @overload def event(event_handler: Callable[P, R_co]) -> Callable[P, R_co]: ... @overload def event(namespace: str, *args, **kwargs) -> HandlerDecorator: ... [builtins fixtures/paramspec.pyi] [case testParamSpecNoCrashOnUnificationPrefix] from typing import Any, Callable, TypeVar, overload from typing_extensions import ParamSpec, Concatenate T = TypeVar("T") U = TypeVar("U") V = TypeVar("V") W = TypeVar("W") P = ParamSpec("P") @overload def call( func: Callable[Concatenate[T, P], U], x: T, *args: Any, **kwargs: Any, ) -> U: ... @overload def call( func: Callable[Concatenate[T, U, P], V], x: T, y: U, *args: Any, **kwargs: Any, ) -> V: ... def call(*args: Any, **kwargs: Any) -> Any: ... def test1(x: int) -> str: ... def test2(x: int, y: int) -> str: ... reveal_type(call(test1, 1)) # N: Revealed type is "builtins.str" reveal_type(call(test2, 1, 2)) # N: Revealed type is "builtins.str" [builtins fixtures/paramspec.pyi] [case testParamSpecCorrectParameterNameInference] from typing import Callable, Protocol from typing_extensions import ParamSpec, Concatenate def a(i: int) -> None: ... def b(__i: int) -> None: ... class WithName(Protocol): def __call__(self, i: int) -> None: ... NoName = Callable[[int], None] def f1(__fn: WithName, i: int) -> None: ... def f2(__fn: NoName, i: int) -> None: ... P = ParamSpec("P") def d(f: Callable[P, None], fn: Callable[Concatenate[Callable[P, None], P], None]) -> Callable[P, None]: def inner(*args: P.args, **kwargs: P.kwargs) -> None: fn(f, *args, **kwargs) return inner reveal_type(d(a, f1)) # N: Revealed type is "def (i: builtins.int)" reveal_type(d(a, f2)) # N: Revealed type is "def (i: builtins.int)" reveal_type(d(b, f1)) # E: Cannot infer value of type parameter "P" of "d" \ # N: Revealed type is "def (*Any, **Any)" reveal_type(d(b, f2)) # N: Revealed type is "def (builtins.int)" [builtins fixtures/paramspec.pyi] [case testParamSpecGenericWithNamedArg1] from typing import Callable, TypeVar from typing_extensions import ParamSpec R = TypeVar("R") P = ParamSpec("P") def run(func: Callable[[], R], *args: object, backend: str = "asyncio") -> R: ... class Result: ... def run_portal() -> Result: ... def submit(func: Callable[P, R], /, *args: P.args, **kwargs: P.kwargs) -> R: ... reveal_type(submit( # N: Revealed type is "__main__.Result" run, run_portal, backend="asyncio", )) submit( run, # E: Argument 1 to "submit" has incompatible type "def [R] run(func: Callable[[], R], *args: object, backend: str = ...) -> R"; expected "Callable[[Callable[[], Result], int], Result]" run_portal, backend=int(), ) [builtins fixtures/paramspec.pyi] [case testInferenceAgainstGenericCallableUnionParamSpec] from typing import Callable, TypeVar, List, Union from typing_extensions import ParamSpec T = TypeVar("T") P = ParamSpec("P") def dec(f: Callable[P, T]) -> Callable[P, List[T]]: ... @dec def func(arg: T) -> Union[T, str]: ... reveal_type(func) # N: Revealed type is "def [T] (arg: T`-1) -> builtins.list[Union[T`-1, builtins.str]]" reveal_type(func(42)) # N: Revealed type is "builtins.list[Union[builtins.int, builtins.str]]" def dec2(f: Callable[P, List[T]]) -> Callable[P, T]: ... @dec2 def func2(arg: T) -> List[Union[T, str]]: ... reveal_type(func2) # N: Revealed type is "def [T] (arg: T`-1) -> Union[T`-1, builtins.str]" reveal_type(func2(42)) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/paramspec.pyi] [case testParamSpecPreciseKindsUsedIfPossible] from typing import Callable, Generic from typing_extensions import ParamSpec P = ParamSpec('P') class Case(Generic[P]): def __init__(self, *args: P.args, **kwargs: P.kwargs) -> None: pass def _test(a: int, b: int = 0) -> None: ... def parametrize( func: Callable[P, None], *cases: Case[P], **named_cases: Case[P] ) -> Callable[[], None]: ... parametrize(_test, Case(1, 2), Case(3, 4)) parametrize(_test, Case(1, b=2), Case(3, b=4)) parametrize(_test, Case(1, 2), Case(3)) parametrize(_test, Case(1, 2), Case(3, b=4)) [builtins fixtures/paramspec.pyi] [case testRunParamSpecInsufficientArgs] from typing_extensions import ParamSpec, Concatenate from typing import Callable _P = ParamSpec("_P") def run(predicate: Callable[_P, None], *args: _P.args, **kwargs: _P.kwargs) -> None: # N: "run" defined here predicate() # E: Too few arguments predicate(*args) # E: Too few arguments predicate(**kwargs) # E: Too few arguments predicate(*args, **kwargs) def fn() -> None: ... def fn_args(x: int) -> None: ... def fn_posonly(x: int, /) -> None: ... run(fn) run(fn_args, 1) run(fn_args, x=1) run(fn_posonly, 1) run(fn_posonly, x=1) # E: Unexpected keyword argument "x" for "run" [builtins fixtures/paramspec.pyi] [case testRunParamSpecConcatenateInsufficientArgs] from typing_extensions import ParamSpec, Concatenate from typing import Callable _P = ParamSpec("_P") def run(predicate: Callable[Concatenate[int, _P], None], *args: _P.args, **kwargs: _P.kwargs) -> None: # N: "run" defined here predicate() # E: Too few arguments predicate(1) # E: Too few arguments predicate(1, *args) # E: Too few arguments predicate(1, *args) # E: Too few arguments predicate(1, **kwargs) # E: Too few arguments predicate(*args, **kwargs) # E: Argument 1 has incompatible type "*_P.args"; expected "int" predicate(1, *args, **kwargs) def fn() -> None: ... def fn_args(x: int, y: str) -> None: ... def fn_posonly(x: int, /) -> None: ... def fn_posonly_args(x: int, /, y: str) -> None: ... run(fn) # E: Argument 1 to "run" has incompatible type "Callable[[], None]"; expected "Callable[[int], None]" run(fn_args, 1, 'a') # E: Too many arguments for "run" \ # E: Argument 2 to "run" has incompatible type "int"; expected "str" run(fn_args, y='a') run(fn_args, 'a') run(fn_posonly) run(fn_posonly, x=1) # E: Unexpected keyword argument "x" for "run" run(fn_posonly_args) # E: Missing positional argument "y" in call to "run" run(fn_posonly_args, 'a') run(fn_posonly_args, y='a') [builtins fixtures/paramspec.pyi] [case testRunParamSpecConcatenateInsufficientArgsInDecorator] from typing_extensions import ParamSpec, Concatenate from typing import Callable P = ParamSpec("P") def decorator(fn: Callable[Concatenate[str, P], None]) -> Callable[P, None]: def inner(*args: P.args, **kwargs: P.kwargs) -> None: fn("value") # E: Too few arguments fn("value", *args) # E: Too few arguments fn("value", **kwargs) # E: Too few arguments fn(*args, **kwargs) # E: Argument 1 has incompatible type "*P.args"; expected "str" fn("value", *args, **kwargs) return inner @decorator def foo(s: str, s2: str) -> None: ... [builtins fixtures/paramspec.pyi] [case testRunParamSpecOverload] from typing_extensions import ParamSpec from typing import Callable, NoReturn, TypeVar, Union, overload P = ParamSpec("P") T = TypeVar("T") @overload def capture( sync_fn: Callable[P, NoReturn], *args: P.args, **kwargs: P.kwargs, ) -> int: ... @overload def capture( sync_fn: Callable[P, T], *args: P.args, **kwargs: P.kwargs, ) -> Union[T, int]: ... def capture( sync_fn: Callable[P, T], *args: P.args, **kwargs: P.kwargs, ) -> Union[T, int]: return sync_fn(*args, **kwargs) def fn() -> str: return '' def err() -> NoReturn: ... reveal_type(capture(fn)) # N: Revealed type is "Union[builtins.str, builtins.int]" reveal_type(capture(err)) # N: Revealed type is "builtins.int" [builtins fixtures/paramspec.pyi] [case testRunParamSpecOverlappingOverloadsOrder] from typing import Any, Callable, overload from typing_extensions import ParamSpec P = ParamSpec("P") class Base: pass class Child(Base): def __call__(self) -> str: ... class NotChild: def __call__(self) -> str: ... @overload def handle(func: Base) -> int: ... @overload def handle(func: Callable[P, str], *args: P.args, **kwargs: P.kwargs) -> str: ... def handle(func: Any, *args: Any, **kwargs: Any) -> Any: return func(*args, **kwargs) @overload def handle_reversed(func: Callable[P, str], *args: P.args, **kwargs: P.kwargs) -> str: ... @overload def handle_reversed(func: Base) -> int: ... def handle_reversed(func: Any, *args: Any, **kwargs: Any) -> Any: return func(*args, **kwargs) reveal_type(handle(Child())) # N: Revealed type is "builtins.int" reveal_type(handle(NotChild())) # N: Revealed type is "builtins.str" reveal_type(handle_reversed(Child())) # N: Revealed type is "builtins.str" reveal_type(handle_reversed(NotChild())) # N: Revealed type is "builtins.str" [builtins fixtures/paramspec.pyi] [case testBindPartial] from functools import partial from typing_extensions import ParamSpec from typing import Callable, TypeVar P = ParamSpec("P") T = TypeVar("T") def run(func: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, **kwargs) return func2(*args) def run2(func: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, *args) return func2(**kwargs) def run3(func: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, *args, **kwargs) return func2() def run4(func: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, *args, **kwargs) return func2(**kwargs) def run_bad(func: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, *args, **kwargs) return func2(*args) # E: Too many arguments def run_bad2(func: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, **kwargs) return func2(**kwargs) # E: Too few arguments def run_bad3(func: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, *args) return func2() # E: Too few arguments [builtins fixtures/paramspec.pyi] [case testBindPartialConcatenate] from functools import partial from typing_extensions import Concatenate, ParamSpec from typing import Callable, TypeVar P = ParamSpec("P") T = TypeVar("T") def run(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, 1, **kwargs) return func2(*args) def run2(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, **kwargs) p = [""] func2(1, *p) # E: Too few arguments \ # E: Argument 2 has incompatible type "*list[str]"; expected "P.args" func2(1, 2, *p) # E: Too few arguments \ # E: Argument 2 has incompatible type "int"; expected "P.args" \ # E: Argument 3 has incompatible type "*list[str]"; expected "P.args" func2(1, *args, *p) # E: Argument 3 has incompatible type "*list[str]"; expected "P.args" func2(1, *p, *args) # E: Argument 2 has incompatible type "*list[str]"; expected "P.args" return func2(1, *args) def run3(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, 1, *args) d = {"":""} func2(**d) # E: Too few arguments \ # E: Argument 1 has incompatible type "**dict[str, str]"; expected "P.kwargs" return func2(**kwargs) def run4(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, 1) return func2(*args, **kwargs) def run5(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, 1, *args, **kwargs) func2() return func2(**kwargs) def run_bad(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, *args) # E: Argument 1 has incompatible type "*P.args"; expected "int" return func2(1, **kwargs) # E: Argument 1 has incompatible type "int"; expected "P.args" def run_bad2(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, 1, *args) func2() # E: Too few arguments func2(*args, **kwargs) # E: Too many arguments return func2(1, **kwargs) # E: Argument 1 has incompatible type "int"; expected "P.args" def run_bad3(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, 1, **kwargs) func2() # E: Too few arguments return func2(1, *args) # E: Argument 1 has incompatible type "int"; expected "P.args" def run_bad4(func: Callable[Concatenate[int, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, 1) func2() # E: Too few arguments func2(*args) # E: Too few arguments func2(1, *args) # E: Too few arguments \ # E: Argument 1 has incompatible type "int"; expected "P.args" func2(1, **kwargs) # E: Too few arguments \ # E: Argument 1 has incompatible type "int"; expected "P.args" return func2(**kwargs) # E: Too few arguments [builtins fixtures/paramspec.pyi] [case testOtherVarArgs] from functools import partial from typing_extensions import Concatenate, ParamSpec from typing import Callable, TypeVar, Tuple P = ParamSpec("P") T = TypeVar("T") def run(func: Callable[Concatenate[int, str, P], T], *args: P.args, **kwargs: P.kwargs) -> T: func2 = partial(func, **kwargs) args_prefix: Tuple[int, str] = (1, 'a') func2(*args_prefix) # E: Too few arguments func2(*args, *args_prefix) # E: Argument 1 has incompatible type "*P.args"; expected "int" \ # E: Argument 1 has incompatible type "*P.args"; expected "str" \ # E: Argument 2 has incompatible type "*tuple[int, str]"; expected "P.args" return func2(*args_prefix, *args) [builtins fixtures/paramspec.pyi] [case testParamSpecScoping] from typing import Any, Callable, Generic from typing_extensions import Concatenate, ParamSpec P = ParamSpec("P") P2 = ParamSpec("P2") def contains(c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def contains_other(f: Callable[P2, None], c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def contains_only_other(c: Callable[P2, None], *args: P.args, **kwargs: P.kwargs) -> None: ... # E: ParamSpec "P" is unbound def puts_p_into_scope(f: Callable[P, int]) -> None: def contains(c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def inherits(*args: P.args, **kwargs: P.kwargs) -> None: ... def puts_p_into_scope_concatenate(f: Callable[Concatenate[int, P], int]) -> None: def contains(c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def inherits(*args: P.args, **kwargs: P.kwargs) -> None: ... def wrapper() -> None: def puts_p_into_scope1(f: Callable[P, int]) -> None: def contains(c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def inherits(*args: P.args, **kwargs: P.kwargs) -> None: ... class Wrapper: def puts_p_into_scope1(self, f: Callable[P, int]) -> None: def contains(c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def inherits(*args: P.args, **kwargs: P.kwargs) -> None: ... def contains(self, c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def uses(self, *args: P.args, **kwargs: P.kwargs) -> None: ... # E: ParamSpec "P" is unbound def method(self) -> None: def contains(c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def inherits(*args: P.args, **kwargs: P.kwargs) -> None: ... # E: ParamSpec "P" is unbound class GenericWrapper(Generic[P]): x: P.args # E: ParamSpec components are not allowed here y: P.kwargs # E: ParamSpec components are not allowed here def contains(self, c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def puts_p_into_scope1(self, f: Callable[P, int]) -> None: def contains(c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def inherits(*args: P.args, **kwargs: P.kwargs) -> None: ... def uses(self, *args: P.args, **kwargs: P.kwargs) -> None: ... def method(self) -> None: def contains(c: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... def inherits(*args: P.args, **kwargs: P.kwargs) -> None: ... [builtins fixtures/paramspec.pyi] [case testCallbackProtocolClassObjectParamSpec] from typing import Any, Callable, Protocol, Optional, Generic from typing_extensions import ParamSpec P = ParamSpec("P") class App: ... class MiddlewareFactory(Protocol[P]): def __call__(self, app: App, /, *args: P.args, **kwargs: P.kwargs) -> App: ... class Capture(Generic[P]): ... class ServerErrorMiddleware(App): def __init__( self, app: App, handler: Optional[str] = None, debug: bool = False, ) -> None: ... def fn(f: MiddlewareFactory[P]) -> Capture[P]: ... reveal_type(fn(ServerErrorMiddleware)) # N: Revealed type is "__main__.Capture[[handler: Union[builtins.str, None] =, debug: builtins.bool =]]" [builtins fixtures/paramspec.pyi] [case testRunParamSpecDuplicateArgsKwargs] from typing_extensions import ParamSpec, Concatenate from typing import Callable, Union _P = ParamSpec("_P") def run(predicate: Callable[_P, None], *args: _P.args, **kwargs: _P.kwargs) -> None: predicate(*args, *args, **kwargs) # E: ParamSpec.args should only be passed once predicate(*args, **kwargs, **kwargs) # E: ParamSpec.kwargs should only be passed once predicate(*args, *args, **kwargs, **kwargs) # E: ParamSpec.args should only be passed once \ # E: ParamSpec.kwargs should only be passed once copy_args = args copy_kwargs = kwargs predicate(*args, *copy_args, **kwargs) # E: ParamSpec.args should only be passed once predicate(*copy_args, *args, **kwargs) # E: ParamSpec.args should only be passed once predicate(*args, **copy_kwargs, **kwargs) # E: ParamSpec.kwargs should only be passed once predicate(*args, **kwargs, **copy_kwargs) # E: ParamSpec.kwargs should only be passed once def run2(predicate: Callable[Concatenate[int, _P], None], *args: _P.args, **kwargs: _P.kwargs) -> None: predicate(*args, *args, **kwargs) # E: ParamSpec.args should only be passed once \ # E: Argument 1 has incompatible type "*_P.args"; expected "int" predicate(*args, **kwargs, **kwargs) # E: ParamSpec.kwargs should only be passed once \ # E: Argument 1 has incompatible type "*_P.args"; expected "int" predicate(1, *args, *args, **kwargs) # E: ParamSpec.args should only be passed once predicate(1, *args, **kwargs, **kwargs) # E: ParamSpec.kwargs should only be passed once predicate(1, *args, *args, **kwargs, **kwargs) # E: ParamSpec.args should only be passed once \ # E: ParamSpec.kwargs should only be passed once copy_args = args copy_kwargs = kwargs predicate(1, *args, *copy_args, **kwargs) # E: ParamSpec.args should only be passed once predicate(1, *copy_args, *args, **kwargs) # E: ParamSpec.args should only be passed once predicate(1, *args, **copy_kwargs, **kwargs) # E: ParamSpec.kwargs should only be passed once predicate(1, *args, **kwargs, **copy_kwargs) # E: ParamSpec.kwargs should only be passed once def run3(predicate: Callable[Concatenate[int, str, _P], None], *args: _P.args, **kwargs: _P.kwargs) -> None: base_ok: tuple[int, str] predicate(*base_ok, *args, **kwargs) base_bad: tuple[Union[int, str], ...] predicate(*base_bad, *args, **kwargs) # E: Argument 1 has incompatible type "*tuple[Union[int, str], ...]"; expected "int" \ # E: Argument 1 has incompatible type "*tuple[Union[int, str], ...]"; expected "str" \ # E: Argument 1 has incompatible type "*tuple[Union[int, str], ...]"; expected "_P.args" [builtins fixtures/paramspec.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-plugin-attrs.test0000644000175100017510000017431515112307767021544 0ustar00runnerrunner[case testAttrsSimple_no_empty] import attr @attr.s class A: a = attr.ib() _b = attr.ib() c = attr.ib(18) _d = attr.ib(validator=None, default=18) E = 18 def foo(self): return self.a reveal_type(A) # N: Revealed type is "def (a: Any, b: Any, c: Any =, d: Any =) -> __main__.A" A(1, [2]) A(1, [2], '3', 4) A(1, 2, 3, 4) A(1, [2], '3', 4, 5) # E: Too many arguments for "A" [builtins fixtures/list.pyi] [case testAttrsAnnotated] import attr from typing import List, ClassVar @attr.s class A: a: int = attr.ib() _b: List[int] = attr.ib() c: str = attr.ib('18') _d: int = attr.ib(validator=None, default=18) E = 7 F: ClassVar[int] = 22 reveal_type(A) # N: Revealed type is "def (a: builtins.int, b: builtins.list[builtins.int], c: builtins.str =, d: builtins.int =) -> __main__.A" A(1, [2]) A(1, [2], '3', 4) A(1, 2, 3, 4) # E: Argument 2 to "A" has incompatible type "int"; expected "list[int]" # E: Argument 3 to "A" has incompatible type "int"; expected "str" A(1, [2], '3', 4, 5) # E: Too many arguments for "A" [builtins fixtures/list.pyi] [case testAttrsTypeComments] import attr from typing import List, ClassVar @attr.s class A: a = attr.ib() # type: int _b = attr.ib() # type: List[int] c = attr.ib('18') # type: str _d = attr.ib(validator=None, default=18) # type: int E = 7 F: ClassVar[int] = 22 reveal_type(A) # N: Revealed type is "def (a: builtins.int, b: builtins.list[builtins.int], c: builtins.str =, d: builtins.int =) -> __main__.A" A(1, [2]) A(1, [2], '3', 4) A(1, 2, 3, 4) # E: Argument 2 to "A" has incompatible type "int"; expected "list[int]" # E: Argument 3 to "A" has incompatible type "int"; expected "str" A(1, [2], '3', 4, 5) # E: Too many arguments for "A" [builtins fixtures/list.pyi] [case testAttrsAutoAttribs] import attr from typing import List, ClassVar @attr.s(auto_attribs=True) class A: a: int _b: List[int] c: str = '18' _d: int = attr.ib(validator=None, default=18) E = 7 F: ClassVar[int] = 22 reveal_type(A) # N: Revealed type is "def (a: builtins.int, b: builtins.list[builtins.int], c: builtins.str =, d: builtins.int =) -> __main__.A" A(1, [2]) A(1, [2], '3', 4) A(1, 2, 3, 4) # E: Argument 2 to "A" has incompatible type "int"; expected "list[int]" # E: Argument 3 to "A" has incompatible type "int"; expected "str" A(1, [2], '3', 4, 5) # E: Too many arguments for "A" [builtins fixtures/list.pyi] [case testAttrsUntypedNoUntypedDefs] # flags: --disallow-untyped-defs import attr @attr.s class A: a = attr.ib() # E: Need type annotation for "a" _b = attr.ib() # E: Need type annotation for "_b" c = attr.ib(18) # E: Need type annotation for "c" _d = attr.ib(validator=None, default=18) # E: Need type annotation for "_d" E = 18 [builtins fixtures/bool.pyi] [case testAttrsWrongReturnValue] import attr @attr.s class A: x: int = attr.ib(8) def foo(self) -> str: return self.x # E: Incompatible return value type (got "int", expected "str") @attr.s class B: x = attr.ib(8) # type: int def foo(self) -> str: return self.x # E: Incompatible return value type (got "int", expected "str") @attr.dataclass class C: x: int = 8 def foo(self) -> str: return self.x # E: Incompatible return value type (got "int", expected "str") @attr.s class D: x = attr.ib(8, type=int) def foo(self) -> str: return self.x # E: Incompatible return value type (got "int", expected "str") [builtins fixtures/bool.pyi] [case testAttrsSeriousNames] from attr import attrib, attrs from typing import List @attrs(init=True) class A: a = attrib() _b: List[int] = attrib() c = attrib(18) _d = attrib(validator=None, default=18) CLASS_VAR = 18 reveal_type(A) # N: Revealed type is "def (a: Any, b: builtins.list[builtins.int], c: Any =, d: Any =) -> __main__.A" A(1, [2]) A(1, [2], '3', 4) A(1, 2, 3, 4) # E: Argument 2 to "A" has incompatible type "int"; expected "list[int]" A(1, [2], '3', 4, 5) # E: Too many arguments for "A" [builtins fixtures/list.pyi] [case testAttrsDefaultErrors] import attr @attr.s class A: x = attr.ib(default=17) y = attr.ib() # E: Non-default attributes not allowed after default attributes. @attr.s(auto_attribs=True) class B: x: int = 17 y: int # E: Non-default attributes not allowed after default attributes. @attr.s(auto_attribs=True) class C: x: int = attr.ib(default=17) y: int # E: Non-default attributes not allowed after default attributes. @attr.s class D: x = attr.ib() y = attr.ib() # E: Non-default attributes not allowed after default attributes. @x.default def foo(self): return 17 [builtins fixtures/bool.pyi] [case testAttrsNotBooleans] import attr x = True @attr.s(cmp=x) # E: "cmp" argument must be a True, False, or None literal class A: a = attr.ib(init=x) # E: "init" argument must be a True or False literal [builtins fixtures/bool.pyi] [case testAttrsInitFalse] from attr import attrib, attrs @attrs(auto_attribs=True, init=False) class A: a: int _b: int c: int = 18 _d: int = attrib(validator=None, default=18) reveal_type(A) # N: Revealed type is "def () -> __main__.A" A() A(1, [2]) # E: Too many arguments for "A" A(1, [2], '3', 4) # E: Too many arguments for "A" [builtins fixtures/list.pyi] [case testAttrsInitAttribFalse] from attr import attrib, attrs @attrs class A: a = attrib(init=False) b = attrib() reveal_type(A) # N: Revealed type is "def (b: Any) -> __main__.A" [builtins fixtures/bool.pyi] [case testAttrsCmpTrue] from attr import attrib, attrs @attrs(auto_attribs=True) class A: a: int reveal_type(A) # N: Revealed type is "def (a: builtins.int) -> __main__.A" reveal_type(A.__lt__) # N: Revealed type is "def [_AT] (self: _AT`3, other: _AT`3) -> builtins.bool" reveal_type(A.__le__) # N: Revealed type is "def [_AT] (self: _AT`4, other: _AT`4) -> builtins.bool" reveal_type(A.__gt__) # N: Revealed type is "def [_AT] (self: _AT`5, other: _AT`5) -> builtins.bool" reveal_type(A.__ge__) # N: Revealed type is "def [_AT] (self: _AT`6, other: _AT`6) -> builtins.bool" A(1) < A(2) A(1) <= A(2) A(1) > A(2) A(1) >= A(2) A(1) == A(2) A(1) != A(2) A(1) < 1 # E: Unsupported operand types for < ("A" and "int") A(1) <= 1 # E: Unsupported operand types for <= ("A" and "int") A(1) > 1 # E: Unsupported operand types for > ("A" and "int") A(1) >= 1 # E: Unsupported operand types for >= ("A" and "int") A(1) == 1 A(1) != 1 1 < A(1) # E: Unsupported operand types for > ("A" and "int") 1 <= A(1) # E: Unsupported operand types for >= ("A" and "int") 1 > A(1) # E: Unsupported operand types for < ("A" and "int") 1 >= A(1) # E: Unsupported operand types for <= ("A" and "int") 1 == A(1) 1 != A(1) [builtins fixtures/plugin_attrs.pyi] [case testAttrsEqFalse] from attr import attrib, attrs @attrs(auto_attribs=True, eq=False) class A: a: int reveal_type(A) # N: Revealed type is "def (a: builtins.int) -> __main__.A" reveal_type(A.__eq__) # N: Revealed type is "def (builtins.object, builtins.object) -> builtins.bool" reveal_type(A.__ne__) # N: Revealed type is "def (builtins.object, builtins.object) -> builtins.bool" A(1) < A(2) # E: Unsupported left operand type for < ("A") A(1) <= A(2) # E: Unsupported left operand type for <= ("A") A(1) > A(2) # E: Unsupported left operand type for > ("A") A(1) >= A(2) # E: Unsupported left operand type for >= ("A") A(1) == A(2) A(1) != A(2) A(1) < 1 # E: Unsupported left operand type for < ("A") A(1) <= 1 # E: Unsupported left operand type for <= ("A") A(1) > 1 # E: Unsupported left operand type for > ("A") A(1) >= 1 # E: Unsupported left operand type for >= ("A") A(1) == 1 A(1) != 1 1 < A(1) # E: Unsupported left operand type for < ("int") 1 <= A(1) # E: Unsupported left operand type for <= ("int") 1 > A(1) # E: Unsupported left operand type for > ("int") 1 >= A(1) # E: Unsupported left operand type for >= ("int") 1 == A(1) 1 != A(1) [builtins fixtures/plugin_attrs.pyi] [case testAttrsOrderFalse] from attr import attrib, attrs @attrs(auto_attribs=True, order=False) class A: a: int reveal_type(A) # N: Revealed type is "def (a: builtins.int) -> __main__.A" A(1) < A(2) # E: Unsupported left operand type for < ("A") A(1) <= A(2) # E: Unsupported left operand type for <= ("A") A(1) > A(2) # E: Unsupported left operand type for > ("A") A(1) >= A(2) # E: Unsupported left operand type for >= ("A") A(1) == A(2) A(1) != A(2) A(1) < 1 # E: Unsupported left operand type for < ("A") A(1) <= 1 # E: Unsupported left operand type for <= ("A") A(1) > 1 # E: Unsupported left operand type for > ("A") A(1) >= 1 # E: Unsupported left operand type for >= ("A") A(1) == 1 A(1) != 1 1 < A(1) # E: Unsupported left operand type for < ("int") 1 <= A(1) # E: Unsupported left operand type for <= ("int") 1 > A(1) # E: Unsupported left operand type for > ("int") 1 >= A(1) # E: Unsupported left operand type for >= ("int") 1 == A(1) 1 != A(1) [builtins fixtures/plugin_attrs.pyi] [case testAttrsCmpEqOrderValues] from attr import attrib, attrs @attrs(cmp=True) class DeprecatedTrue: ... @attrs(cmp=False) class DeprecatedFalse: ... @attrs(cmp=False, eq=True) # E: Don't mix "cmp" with "eq" and "order" class Mixed: ... @attrs(order=True, eq=False) # E: eq must be True if order is True class Confused: ... [builtins fixtures/plugin_attrs.pyi] [case testAttrsInheritance] import attr @attr.s class A: a: int = attr.ib() @attr.s class B: b: str = attr.ib() @attr.s class C(A, B): c: bool = attr.ib() reveal_type(C) # N: Revealed type is "def (a: builtins.int, b: builtins.str, c: builtins.bool) -> __main__.C" [builtins fixtures/bool.pyi] [case testAttrsNestedInClasses] import attr @attr.s class C: y = attr.ib() @attr.s class D: x: int = attr.ib() reveal_type(C) # N: Revealed type is "def (y: Any) -> __main__.C" reveal_type(C.D) # N: Revealed type is "def (x: builtins.int) -> __main__.C.D" [builtins fixtures/bool.pyi] [case testAttrsInheritanceOverride] import attr @attr.s class A: a: int = attr.ib() x: int = attr.ib() @attr.s class B(A): b: str = attr.ib() x: int = attr.ib(default=22) @attr.s class C(B): c: bool = attr.ib() # No error here because the x below overwrites the x above. x: int = attr.ib() reveal_type(A) # N: Revealed type is "def (a: builtins.int, x: builtins.int) -> __main__.A" reveal_type(B) # N: Revealed type is "def (a: builtins.int, b: builtins.str, x: builtins.int =) -> __main__.B" reveal_type(C) # N: Revealed type is "def (a: builtins.int, b: builtins.str, c: builtins.bool, x: builtins.int) -> __main__.C" [builtins fixtures/bool.pyi] [case testAttrsTypeEquals] import attr @attr.s class A: a = attr.ib(type=int) b = attr.ib(18, type=int) reveal_type(A) # N: Revealed type is "def (a: builtins.int, b: builtins.int =) -> __main__.A" [builtins fixtures/bool.pyi] [case testAttrsFrozen] import attr @attr.s(frozen=True) class A: a = attr.ib() a = A(5) a.a = 16 # E: Property "a" defined in "A" is read-only [builtins fixtures/plugin_attrs.pyi] [case testAttrsNextGenFrozen] from attr import frozen, field @frozen class A: a = field() a = A(5) a.a = 16 # E: Property "a" defined in "A" is read-only [builtins fixtures/plugin_attrs.pyi] [case testAttrsNextGenDetect] from attr import define, field @define class A: a = field() @define class B: a: int @define class C: a: int = field() b = field() @define class D: a: int b = field() reveal_type(A) # N: Revealed type is "def (a: Any) -> __main__.A" reveal_type(B) # N: Revealed type is "def (a: builtins.int) -> __main__.B" reveal_type(C) # N: Revealed type is "def (a: builtins.int, b: Any) -> __main__.C" reveal_type(D) # N: Revealed type is "def (b: Any) -> __main__.D" [builtins fixtures/bool.pyi] [case testAttrsOldPackage] import attr @attr.s(auto_attribs=True) class A: a: int = attr.ib() b: bool @attr.s(auto_attribs=True, frozen=True) class B: a: bool b: int @attr.s class C: a = attr.ib(type=int) reveal_type(A) # N: Revealed type is "def (a: builtins.int, b: builtins.bool) -> __main__.A" reveal_type(B) # N: Revealed type is "def (a: builtins.bool, b: builtins.int) -> __main__.B" reveal_type(C) # N: Revealed type is "def (a: builtins.int) -> __main__.C" [builtins fixtures/plugin_attrs.pyi] [case testAttrsDataClass] import attr from typing import List, ClassVar @attr.dataclass class A: a: int _b: List[str] c: str = '18' _d: int = attr.ib(validator=None, default=18) E = 7 F: ClassVar[int] = 22 reveal_type(A) # N: Revealed type is "def (a: builtins.int, b: builtins.list[builtins.str], c: builtins.str =, d: builtins.int =) -> __main__.A" A(1, ['2']) [builtins fixtures/list.pyi] [case testAttrsTypeAlias] from typing import List import attr Alias = List[int] @attr.s(auto_attribs=True) class A: Alias2 = List[str] x: Alias y: Alias2 = attr.ib() reveal_type(A) # N: Revealed type is "def (x: builtins.list[builtins.int], y: builtins.list[builtins.str]) -> __main__.A" [builtins fixtures/list.pyi] [case testAttrsGeneric] from typing import TypeVar, Generic, List import attr T = TypeVar('T') @attr.s(auto_attribs=True) class A(Generic[T]): x: List[T] y: T = attr.ib() def foo(self) -> List[T]: return [self.y] def bar(self) -> T: return self.x[0] def problem(self) -> T: return self.x # E: Incompatible return value type (got "list[T]", expected "T") reveal_type(A) # N: Revealed type is "def [T] (x: builtins.list[T`1], y: T`1) -> __main__.A[T`1]" a = A([1], 2) reveal_type(a) # N: Revealed type is "__main__.A[builtins.int]" reveal_type(a.x) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(a.y) # N: Revealed type is "builtins.int" A(['str'], 7) # E: Cannot infer value of type parameter "T" of "A" A([1], '2') # E: Cannot infer value of type parameter "T" of "A" [builtins fixtures/list.pyi] [case testAttrsGenericWithConverter] from typing import TypeVar, Generic, List, Iterable, Iterator, Callable import attr T = TypeVar('T') def int_gen() -> Iterator[int]: yield 1 def list_converter(x: Iterable[T]) -> List[T]: return list(x) @attr.s(auto_attribs=True) class A(Generic[T]): x: List[T] = attr.ib(converter=list_converter) y: T = attr.ib() def foo(self) -> List[T]: return [self.y] def bar(self) -> T: return self.x[0] def problem(self) -> T: return self.x # E: Incompatible return value type (got "list[T]", expected "T") reveal_type(A) # N: Revealed type is "def [T] (x: typing.Iterable[T`1], y: T`1) -> __main__.A[T`1]" a1 = A([1], 2) reveal_type(a1) # N: Revealed type is "__main__.A[builtins.int]" reveal_type(a1.x) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(a1.y) # N: Revealed type is "builtins.int" a2 = A(int_gen(), 2) reveal_type(a2) # N: Revealed type is "__main__.A[builtins.int]" reveal_type(a2.x) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(a2.y) # N: Revealed type is "builtins.int" def get_int() -> int: return 1 class Other(Generic[T]): def __init__(self, x: T) -> None: pass @attr.s(auto_attribs=True) class B(Generic[T]): x: Other[Callable[..., T]] = attr.ib(converter=Other[Callable[..., T]]) b1 = B(get_int) reveal_type(b1) # N: Revealed type is "__main__.B[builtins.int]" reveal_type(b1.x) # N: Revealed type is "__main__.Other[def (*Any, **Any) -> builtins.int]" [builtins fixtures/list.pyi] [case testAttrsUntypedGenericInheritance] from typing import Generic, TypeVar import attr T = TypeVar("T") @attr.s(auto_attribs=True) class Base(Generic[T]): attr: T @attr.s(auto_attribs=True) class Sub(Base): pass sub = Sub(attr=1) reveal_type(sub) # N: Revealed type is "__main__.Sub" reveal_type(sub.attr) # N: Revealed type is "Any" [builtins fixtures/bool.pyi] [case testAttrsGenericInheritance] from typing import Generic, TypeVar import attr S = TypeVar("S") T = TypeVar("T") @attr.s(auto_attribs=True) class Base(Generic[T]): attr: T @attr.s(auto_attribs=True) class Sub(Base[S]): pass sub_int = Sub[int](attr=1) reveal_type(sub_int) # N: Revealed type is "__main__.Sub[builtins.int]" reveal_type(sub_int.attr) # N: Revealed type is "builtins.int" sub_str = Sub[str](attr='ok') reveal_type(sub_str) # N: Revealed type is "__main__.Sub[builtins.str]" reveal_type(sub_str.attr) # N: Revealed type is "builtins.str" [builtins fixtures/bool.pyi] [case testAttrsGenericInheritance2] from typing import Generic, TypeVar import attr T1 = TypeVar("T1") T2 = TypeVar("T2") T3 = TypeVar("T3") @attr.s(auto_attribs=True) class Base(Generic[T1, T2, T3]): one: T1 two: T2 three: T3 @attr.s(auto_attribs=True) class Sub(Base[int, str, float]): pass sub = Sub(one=1, two='ok', three=3.14) reveal_type(sub) # N: Revealed type is "__main__.Sub" reveal_type(sub.one) # N: Revealed type is "builtins.int" reveal_type(sub.two) # N: Revealed type is "builtins.str" reveal_type(sub.three) # N: Revealed type is "builtins.float" [builtins fixtures/bool.pyi] [case testAttrsGenericInheritance3] import attr from typing import Any, Callable, Generic, TypeVar, List T = TypeVar("T") S = TypeVar("S") @attr.s(auto_attribs=True) class Parent(Generic[T]): f: Callable[[T], Any] @attr.s(auto_attribs=True) class Child(Parent[T]): ... class A: ... def func(obj: A) -> bool: ... reveal_type(Child[A](func).f) # N: Revealed type is "def (__main__.A) -> Any" @attr.s(auto_attribs=True) class Parent2(Generic[T]): a: List[T] @attr.s(auto_attribs=True) class Child2(Generic[T, S], Parent2[S]): b: List[T] reveal_type(Child2([A()], [1]).a) # N: Revealed type is "builtins.list[__main__.A]" reveal_type(Child2[int, A]([A()], [1]).b) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testAttrsMultiGenericInheritance] from typing import Generic, TypeVar import attr T = TypeVar("T") @attr.s(auto_attribs=True, eq=False) class Base(Generic[T]): base_attr: T S = TypeVar("S") @attr.s(auto_attribs=True, eq=False) class Middle(Base[int], Generic[S]): middle_attr: S @attr.s(auto_attribs=True, eq=False) class Sub(Middle[str]): pass sub = Sub(base_attr=1, middle_attr='ok') reveal_type(sub) # N: Revealed type is "__main__.Sub" reveal_type(sub.base_attr) # N: Revealed type is "builtins.int" reveal_type(sub.middle_attr) # N: Revealed type is "builtins.str" [builtins fixtures/bool.pyi] [case testAttrsGenericClassmethod] from typing import TypeVar, Generic, Optional import attr T = TypeVar('T') @attr.s(auto_attribs=True) class A(Generic[T]): x: Optional[T] @classmethod def clsmeth(cls) -> None: reveal_type(cls) # N: Revealed type is "type[__main__.A[T`1]]" [builtins fixtures/classmethod.pyi] [case testAttrsForwardReference] # flags: --no-strict-optional import attr @attr.s(auto_attribs=True) class A: parent: 'B' @attr.s(auto_attribs=True) class B: parent: A reveal_type(A) # N: Revealed type is "def (parent: __main__.B) -> __main__.A" reveal_type(B) # N: Revealed type is "def (parent: __main__.A) -> __main__.B" A(B(None)) [builtins fixtures/list.pyi] [case testAttrsForwardReferenceInClass] # flags: --no-strict-optional import attr @attr.s(auto_attribs=True) class A: parent: A.B @attr.s(auto_attribs=True) class B: parent: A reveal_type(A) # N: Revealed type is "def (parent: __main__.A.B) -> __main__.A" reveal_type(A.B) # N: Revealed type is "def (parent: __main__.A) -> __main__.A.B" A(A.B(None)) [builtins fixtures/list.pyi] [case testAttrsImporting] from helper import A reveal_type(A) # N: Revealed type is "def (a: builtins.int, b: builtins.str) -> helper.A" [file helper.py] import attr @attr.s(auto_attribs=True) class A: a: int b: str = attr.ib() [builtins fixtures/list.pyi] [case testAttrsOtherMethods] import attr @attr.s(auto_attribs=True) class A: a: int b: str = attr.ib() @classmethod def new(cls) -> A: reveal_type(cls) # N: Revealed type is "type[__main__.A]" return cls(6, 'hello') @classmethod def bad(cls) -> A: return cls(17) # E: Missing positional argument "b" in call to "A" def foo(self) -> int: return self.a reveal_type(A) # N: Revealed type is "def (a: builtins.int, b: builtins.str) -> __main__.A" a = A.new() reveal_type(a.foo) # N: Revealed type is "def () -> builtins.int" [builtins fixtures/classmethod.pyi] [case testAttrsOtherOverloads] import attr from typing import overload, Union @attr.s class A: a = attr.ib() b = attr.ib(default=3) @classmethod def other(cls) -> str: return "..." @overload @classmethod def foo(cls, x: int) -> int: ... @overload @classmethod def foo(cls, x: str) -> str: ... @classmethod def foo(cls, x: Union[int, str]) -> Union[int, str]: reveal_type(cls) # N: Revealed type is "type[__main__.A]" reveal_type(cls.other()) # N: Revealed type is "builtins.str" return x reveal_type(A.foo(3)) # N: Revealed type is "builtins.int" reveal_type(A.foo("foo")) # N: Revealed type is "builtins.str" [builtins fixtures/classmethod.pyi] [case testAttrsDefaultDecorator] import attr @attr.s class C(object): x: int = attr.ib(default=1) y: int = attr.ib() @y.default def name_does_not_matter(self): return self.x + 1 C() [builtins fixtures/list.pyi] [case testAttrsValidatorDecorator] import attr @attr.s class C(object): x = attr.ib() @x.validator def check(self, attribute, value): if value > 42: raise ValueError("x must be smaller or equal to 42") C(42) C(43) [builtins fixtures/exception.pyi] [case testAttrsLocalVariablesInClassMethod] import attr @attr.s(auto_attribs=True) class A: a: int b: int = attr.ib() @classmethod def new(cls, foo: int) -> A: a = foo b = a return cls(a, b) [builtins fixtures/classmethod.pyi] [case testAttrsUnionForward] import attr from typing import Union, List @attr.s(auto_attribs=True) class A: frob: List['AOrB'] class B: pass AOrB = Union[A, B] reveal_type(A) # N: Revealed type is "def (frob: builtins.list[Union[__main__.A, __main__.B]]) -> __main__.A" reveal_type(B) # N: Revealed type is "def () -> __main__.B" A([B()]) [builtins fixtures/list.pyi] [case testAttrsUsingConvert] import attr def convert(s:int) -> str: return 'hello' @attr.s class C: x: str = attr.ib(convert=convert) # E: convert is deprecated, use converter # Because of the convert the __init__ takes an int, but the variable is a str. reveal_type(C) # N: Revealed type is "def (x: builtins.int) -> __main__.C" reveal_type(C(15).x) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [case testAttrsUsingConverter] import attr import helper def converter2(s:int) -> str: return 'hello' @attr.s class C: x: str = attr.ib(converter=helper.converter) y: str = attr.ib(converter=converter2) # Because of the converter the __init__ takes an int, but the variable is a str. reveal_type(C) # N: Revealed type is "def (x: builtins.int, y: builtins.int) -> __main__.C" reveal_type(C(15, 16).x) # N: Revealed type is "builtins.str" [file helper.py] def converter(s:int) -> str: return 'hello' [builtins fixtures/list.pyi] [case testAttrsUsingConvertAndConverter] import attr def converter(s:int) -> str: return 'hello' @attr.s class C: x: str = attr.ib(converter=converter, convert=converter) # E: Can't pass both "convert" and "converter". [builtins fixtures/list.pyi] [case testAttrsUsingBadConverter] # flags: --no-strict-optional import attr from typing import overload @overload def bad_overloaded_converter(x: int, y: int) -> int: ... @overload def bad_overloaded_converter(x: str, y: str) -> str: ... def bad_overloaded_converter(x, y=7): return x def bad_converter() -> str: return '' @attr.dataclass class A: bad: str = attr.ib(converter=bad_converter) bad_overloaded: int = attr.ib(converter=bad_overloaded_converter) reveal_type(A) [out] main:16: error: Cannot determine __init__ type from converter main:16: error: Argument "converter" has incompatible type "Callable[[], str]"; expected "Callable[[Any], str]" main:17: error: Cannot determine __init__ type from converter main:17: error: Argument "converter" has incompatible type overloaded function; expected "Callable[[Any], int]" main:18: note: Revealed type is "def (bad: Any, bad_overloaded: Any) -> __main__.A" [builtins fixtures/list.pyi] [case testAttrsUsingBadConverterReprocess] # flags: --no-strict-optional import attr from typing import overload forward: 'A' @overload def bad_overloaded_converter(x: int, y: int) -> int: ... @overload def bad_overloaded_converter(x: str, y: str) -> str: ... def bad_overloaded_converter(x, y=7): return x def bad_converter() -> str: return '' @attr.dataclass class A: bad: str = attr.ib(converter=bad_converter) bad_overloaded: int = attr.ib(converter=bad_overloaded_converter) reveal_type(A) [out] main:17: error: Cannot determine __init__ type from converter main:17: error: Argument "converter" has incompatible type "Callable[[], str]"; expected "Callable[[Any], str]" main:18: error: Cannot determine __init__ type from converter main:18: error: Argument "converter" has incompatible type overloaded function; expected "Callable[[Any], int]" main:19: note: Revealed type is "def (bad: Any, bad_overloaded: Any) -> __main__.A" [builtins fixtures/list.pyi] [case testAttrsUsingUnsupportedConverter] import attr class Thing: def do_it(self, int) -> str: ... thing = Thing() def factory(default: int): ... @attr.s class C: x: str = attr.ib(converter=thing.do_it) # E: Unsupported converter, only named functions, types and lambdas are currently supported y: str = attr.ib(converter=lambda x: x) z: str = attr.ib(converter=factory(8)) # E: Unsupported converter, only named functions, types and lambdas are currently supported reveal_type(C) # N: Revealed type is "def (x: Any, y: Any, z: Any) -> __main__.C" [builtins fixtures/list.pyi] [case testAttrsUsingConverterAndSubclass] import attr def converter(s:int) -> str: return 'hello' @attr.s class C: x: str = attr.ib(converter=converter) @attr.s class A(C): pass # Because of the convert the __init__ takes an int, but the variable is a str. reveal_type(A) # N: Revealed type is "def (x: builtins.int) -> __main__.A" reveal_type(A(15).x) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [case testAttrsUsingConverterWithTypes] from typing import overload import attr @attr.dataclass class A: x: str @attr.s class C: x: complex = attr.ib(converter=complex) y: int = attr.ib(converter=int) z: A = attr.ib(converter=A) o = C("1", "2", "3") o = C(1, 2, "3") [builtins fixtures/plugin_attrs.pyi] [case testAttrsCmpWithSubclasses] import attr @attr.s class A: pass @attr.s class B: pass @attr.s class C(A, B): pass @attr.s class D(A): pass reveal_type(A.__lt__) # N: Revealed type is "def [_AT] (self: _AT`29, other: _AT`29) -> builtins.bool" reveal_type(B.__lt__) # N: Revealed type is "def [_AT] (self: _AT`30, other: _AT`30) -> builtins.bool" reveal_type(C.__lt__) # N: Revealed type is "def [_AT] (self: _AT`31, other: _AT`31) -> builtins.bool" reveal_type(D.__lt__) # N: Revealed type is "def [_AT] (self: _AT`32, other: _AT`32) -> builtins.bool" A() < A() B() < B() A() < B() # E: Unsupported operand types for < ("A" and "B") C() > A() C() > B() C() > C() C() > D() # E: Unsupported operand types for > ("C" and "D") D() >= A() D() >= B() # E: Unsupported operand types for >= ("D" and "B") D() >= C() # E: Unsupported operand types for >= ("D" and "C") D() >= D() A() <= 1 # E: Unsupported operand types for <= ("A" and "int") B() <= 1 # E: Unsupported operand types for <= ("B" and "int") C() <= 1 # E: Unsupported operand types for <= ("C" and "int") D() <= 1 # E: Unsupported operand types for <= ("D" and "int") [builtins fixtures/list.pyi] [case testAttrsComplexSuperclass] import attr @attr.s class C: x: int = attr.ib(default=1) y: int = attr.ib() @y.default def name_does_not_matter(self): return self.x + 1 @attr.s class A(C): z: int = attr.ib(default=18) reveal_type(C) # N: Revealed type is "def (x: builtins.int =, y: builtins.int =) -> __main__.C" reveal_type(A) # N: Revealed type is "def (x: builtins.int =, y: builtins.int =, z: builtins.int =) -> __main__.A" [builtins fixtures/list.pyi] [case testAttrsMultiAssign] import attr @attr.s class A: x, y, z = attr.ib(), attr.ib(type=int), attr.ib(default=17) reveal_type(A) # N: Revealed type is "def (x: Any, y: builtins.int, z: Any =) -> __main__.A" [builtins fixtures/list.pyi] [case testAttrsMultiAssign2] import attr @attr.s class A: x = y = z = attr.ib() # E: Too many names for one attribute [builtins fixtures/list.pyi] [case testAttrsPrivateInit] import attr @attr.s class C(object): _x = attr.ib(init=False, default=42) C() C(_x=42) # E: Unexpected keyword argument "_x" for "C" [builtins fixtures/list.pyi] [case testAttrsAliasForInit] from attrs import define, field @define class C1: _x: int = field(alias="x1") c1 = C1(x1=42) reveal_type(c1._x) # N: Revealed type is "builtins.int" c1.x1 # E: "C1" has no attribute "x1" C1(_x=42) # E: Unexpected keyword argument "_x" for "C1" alias = "x2" @define class C2: _x: int = field(alias=alias) # E: "alias" argument to attrs field must be a string literal @define class C3: _x: int = field(alias="_x") c3 = C3(_x=1) reveal_type(c3._x) # N: Revealed type is "builtins.int" [builtins fixtures/plugin_attrs.pyi] [case testAttrsAutoMustBeAll] import attr @attr.s(auto_attribs=True) class A: a: int b = 17 # The following forms are not allowed with auto_attribs=True c = attr.ib() # E: Need type annotation for "c" d, e = attr.ib(), attr.ib() # E: Need type annotation for "d" # E: Need type annotation for "e" f = g = attr.ib() # E: Need type annotation for "f" # E: Need type annotation for "g" [builtins fixtures/bool.pyi] [case testAttrsRepeatedName] import attr @attr.s class A: a = attr.ib(default=8) b = attr.ib() a = attr.ib() reveal_type(A) # N: Revealed type is "def (b: Any, a: Any) -> __main__.A" @attr.s class B: a: int = attr.ib(default=8) b: int = attr.ib() a: int = attr.ib() # E: Name "a" already defined on line 10 reveal_type(B) # N: Revealed type is "def (b: builtins.int, a: builtins.int) -> __main__.B" @attr.s(auto_attribs=True) class C: a: int = 8 b: int a: int = attr.ib() # E: Name "a" already defined on line 16 reveal_type(C) # N: Revealed type is "def (a: builtins.int, b: builtins.int) -> __main__.C" [builtins fixtures/bool.pyi] [case testAttrsFrozenSubclass] import attr @attr.dataclass class NonFrozenBase: a: int @attr.dataclass(frozen=True) class FrozenBase: a: int @attr.dataclass(frozen=True) class FrozenNonFrozen(NonFrozenBase): b: int @attr.dataclass(frozen=True) class FrozenFrozen(FrozenBase): b: int @attr.dataclass class NonFrozenFrozen(FrozenBase): b: int # Make sure these are untouched non_frozen_base = NonFrozenBase(1) non_frozen_base.a = 17 frozen_base = FrozenBase(1) frozen_base.a = 17 # E: Property "a" defined in "FrozenBase" is read-only a = FrozenNonFrozen(1, 2) a.a = 17 # E: Property "a" defined in "FrozenNonFrozen" is read-only a.b = 17 # E: Property "b" defined in "FrozenNonFrozen" is read-only b = FrozenFrozen(1, 2) b.a = 17 # E: Property "a" defined in "FrozenFrozen" is read-only b.b = 17 # E: Property "b" defined in "FrozenFrozen" is read-only c = NonFrozenFrozen(1, 2) c.a = 17 # E: Property "a" defined in "NonFrozenFrozen" is read-only c.b = 17 # E: Property "b" defined in "NonFrozenFrozen" is read-only [builtins fixtures/plugin_attrs.pyi] [case testAttrsCallableAttributes] from typing import Callable import attr def blah(a: int, b: int) -> bool: return True @attr.s(auto_attribs=True) class F: _cb: Callable[[int, int], bool] = blah def foo(self) -> bool: return self._cb(5, 6) @attr.s class G: _cb: Callable[[int, int], bool] = attr.ib(blah) def foo(self) -> bool: return self._cb(5, 6) @attr.s(auto_attribs=True, frozen=True) class FFrozen(F): def bar(self) -> bool: return self._cb(5, 6) [builtins fixtures/plugin_attrs.pyi] [case testAttrsWithFactory] from typing import List import attr def my_factory() -> int: return 7 @attr.s class A: x: List[int] = attr.ib(factory=list) y: int = attr.ib(factory=my_factory) A() [builtins fixtures/list.pyi] [case testAttrsFactoryAndDefault] import attr @attr.s class A: x: int = attr.ib(factory=int, default=7) # E: Can't pass both "default" and "factory". [builtins fixtures/bool.pyi] [case testAttrsFactoryBadReturn] import attr def my_factory() -> int: return 7 @attr.s class A: x: int = attr.ib(factory=list) # E: Incompatible types in assignment (expression has type "list[Never]", variable has type "int") y: str = attr.ib(factory=my_factory) # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/list.pyi] [case testAttrsDefaultAndInit] import attr @attr.s class C: a = attr.ib(init=False, default=42) b = attr.ib() # Ok because previous attribute is init=False c = attr.ib(default=44) d = attr.ib(init=False) # Ok because this attribute is init=False e = attr.ib() # E: Non-default attributes not allowed after default attributes. [builtins fixtures/bool.pyi] [case testAttrsOptionalConverter] import attr from attr.converters import optional from typing import Optional def converter(s:int) -> str: return 'hello' @attr.s class A: y: Optional[int] = attr.ib(converter=optional(int)) z: Optional[str] = attr.ib(converter=optional(converter)) A(None, None) [builtins fixtures/plugin_attrs.pyi] [case testAttrsOptionalConverterNewPackage] import attrs from attrs.converters import optional from typing import Optional def converter(s:int) -> str: return 'hello' @attrs.define class A: y: Optional[int] = attrs.field(converter=optional(int)) z: Optional[str] = attrs.field(converter=optional(converter)) A(None, None) [builtins fixtures/plugin_attrs.pyi] [case testAttrsTypeVarNoCollision] from typing import TypeVar, Generic import attr T = TypeVar("T", bytes, str) # Make sure the generated __le__ (and friends) don't use T for their arguments. @attr.s(auto_attribs=True) class A(Generic[T]): v: T [builtins fixtures/plugin_attrs.pyi] [case testAttrsKwOnlyAttrib] import attr @attr.s class A: a = attr.ib(kw_only=True) A() # E: Missing named argument "a" for "A" A(15) # E: Too many positional arguments for "A" A(a=15) [builtins fixtures/plugin_attrs.pyi] [case testAttrsKwOnlyClass] import attr @attr.s(kw_only=True, auto_attribs=True) class A: a: int b: bool A() # E: Missing named argument "a" for "A" # E: Missing named argument "b" for "A" A(b=True, a=15) [builtins fixtures/plugin_attrs.pyi] [case testAttrsKwOnlyClassNoInit] import attr @attr.s(kw_only=True) class B: a = attr.ib(init=False) b = attr.ib() B(b=True) [builtins fixtures/plugin_attrs.pyi] [case testAttrsKwOnlyWithDefault] import attr @attr.s class C: a = attr.ib(0) b = attr.ib(kw_only=True) c = attr.ib(16, kw_only=True) C(b=17) [builtins fixtures/plugin_attrs.pyi] [case testAttrsKwOnlyClassWithMixedDefaults] import attr @attr.s(kw_only=True) class D: a = attr.ib(10) b = attr.ib() c = attr.ib(15) D(b=17) [builtins fixtures/plugin_attrs.pyi] [case testAttrsKwOnlySubclass] import attr @attr.s class A2: a = attr.ib(default=0) @attr.s class B2(A2): b = attr.ib(kw_only=True) B2(b=1) [builtins fixtures/plugin_attrs.pyi] [case testAttrsNonKwOnlyAfterKwOnly] import attr @attr.s(kw_only=True) class A: a = attr.ib(default=0) @attr.s class B(A): b = attr.ib() @attr.s class C: a = attr.ib(kw_only=True) b = attr.ib(15) [builtins fixtures/plugin_attrs.pyi] [case testAttrsDisallowUntypedWorksForward] # flags: --disallow-untyped-defs import attr from typing import List @attr.s class B: x: C = attr.ib() class C(List[C]): pass reveal_type(B) # N: Revealed type is "def (x: __main__.C) -> __main__.B" [builtins fixtures/list.pyi] [case testDisallowUntypedWorksForwardBad] # flags: --disallow-untyped-defs import attr @attr.s class B: x = attr.ib() # E: Need type annotation for "x" reveal_type(B) # N: Revealed type is "def (x: Any) -> __main__.B" [builtins fixtures/list.pyi] [case testAttrsDefaultDecoratorDeferred] defer: Yes import attr @attr.s class C(object): x: int = attr.ib(default=1) y: int = attr.ib() @y.default def inc(self): return self.x + 1 class Yes: ... [builtins fixtures/list.pyi] [case testAttrsValidatorDecoratorDeferred] defer: Yes import attr @attr.s class C(object): x = attr.ib() @x.validator def check(self, attribute, value): if value > 42: raise ValueError("x must be smaller or equal to 42") C(42) C(43) class Yes: ... [builtins fixtures/exception.pyi] [case testTypeInAttrUndefined] import attr @attr.s class C: total = attr.ib(type=Bad) # E: Name "Bad" is not defined [builtins fixtures/bool.pyi] [case testTypeInAttrForwardInRuntime] import attr @attr.s class C: total = attr.ib(type=Forward) reveal_type(C.total) # N: Revealed type is "__main__.Forward" C('no') # E: Argument 1 to "C" has incompatible type "str"; expected "Forward" class Forward: ... [builtins fixtures/bool.pyi] [case testDefaultInAttrForward] import attr @attr.s class C: total = attr.ib(default=func()) def func() -> int: ... C() C(1) C(1, 2) # E: Too many arguments for "C" [builtins fixtures/bool.pyi] [case testTypeInAttrUndefinedFrozen] import attr @attr.s(frozen=True) class C: total = attr.ib(type=Bad) # E: Name "Bad" is not defined C(0).total = 1 # E: Property "total" defined in "C" is read-only [builtins fixtures/plugin_attrs.pyi] [case testTypeInAttrDeferredStar] import lib [file lib.py] import attr MYPY = False if MYPY: # Force deferral from other import * @attr.s class C: total = attr.ib(type=int) C() # E: Missing positional argument "total" in call to "C" C('no') # E: Argument 1 to "C" has incompatible type "str"; expected "int" [file other.py] import lib [builtins fixtures/bool.pyi] [case testAttrsDefaultsMroOtherFile] import a [file a.py] import attr from b import A1, A2 @attr.s class Asdf(A1, A2): # E: Non-default attributes not allowed after default attributes. pass [file b.py] import attr @attr.s class A1: a: str = attr.ib('test') @attr.s class A2: b: int = attr.ib() [builtins fixtures/list.pyi] [case testAttrsInheritanceNoAnnotation] import attr @attr.s class A: foo = attr.ib() # type: int x = 0 @attr.s class B(A): foo = x reveal_type(B) # N: Revealed type is "def (foo: builtins.int) -> __main__.B" [builtins fixtures/bool.pyi] [case testAttrsClassHasMagicAttribute] import attr @attr.s class A: b: int = attr.ib() c: str = attr.ib() reveal_type(A.__attrs_attrs__) # N: Revealed type is "tuple[attr.Attribute[builtins.int], attr.Attribute[builtins.str], fallback=__main__.A.____main___A_AttrsAttributes__]" reveal_type(A.__attrs_attrs__[0]) # N: Revealed type is "attr.Attribute[builtins.int]" reveal_type(A.__attrs_attrs__.b) # N: Revealed type is "attr.Attribute[builtins.int]" A.__attrs_attrs__.x # E: "____main___A_AttrsAttributes__" has no attribute "x" [builtins fixtures/plugin_attrs.pyi] [case testAttrsBareClassHasMagicAttribute] import attr @attr.s class A: b = attr.ib() c = attr.ib() reveal_type(A.__attrs_attrs__) # N: Revealed type is "tuple[attr.Attribute[Any], attr.Attribute[Any], fallback=__main__.A.____main___A_AttrsAttributes__]" reveal_type(A.__attrs_attrs__[0]) # N: Revealed type is "attr.Attribute[Any]" reveal_type(A.__attrs_attrs__.b) # N: Revealed type is "attr.Attribute[Any]" A.__attrs_attrs__.x # E: "____main___A_AttrsAttributes__" has no attribute "x" [builtins fixtures/plugin_attrs.pyi] [case testAttrsNGClassHasMagicAttribute] import attr @attr.define class A: b: int c: str reveal_type(A.__attrs_attrs__) # N: Revealed type is "tuple[attr.Attribute[builtins.int], attr.Attribute[builtins.str], fallback=__main__.A.____main___A_AttrsAttributes__]" reveal_type(A.__attrs_attrs__[0]) # N: Revealed type is "attr.Attribute[builtins.int]" reveal_type(A.__attrs_attrs__.b) # N: Revealed type is "attr.Attribute[builtins.int]" A.__attrs_attrs__.x # E: "____main___A_AttrsAttributes__" has no attribute "x" [builtins fixtures/plugin_attrs.pyi] [case testAttrsMagicAttributeProtocol] import attr from typing import Any, Protocol, Type, ClassVar class AttrsInstance(Protocol): __attrs_attrs__: ClassVar[Any] @attr.define class A: b: int c: str def takes_attrs_cls(cls: Type[AttrsInstance]) -> None: pass def takes_attrs_instance(inst: AttrsInstance) -> None: pass takes_attrs_cls(A) takes_attrs_instance(A(1, "")) takes_attrs_cls(A(1, "")) # E: Argument 1 to "takes_attrs_cls" has incompatible type "A"; expected "type[AttrsInstance]" takes_attrs_instance(A) # E: Argument 1 to "takes_attrs_instance" has incompatible type "type[A]"; expected "AttrsInstance" # N: ClassVar protocol member AttrsInstance.__attrs_attrs__ can never be matched by a class object [builtins fixtures/plugin_attrs.pyi] [case testAttrsFields] import attr from attrs import fields as f # Common usage. @attr.define class A: b: int c: str reveal_type(f(A)) # N: Revealed type is "tuple[attr.Attribute[builtins.int], attr.Attribute[builtins.str], fallback=__main__.A.____main___A_AttrsAttributes__]" reveal_type(f(A)[0]) # N: Revealed type is "attr.Attribute[builtins.int]" reveal_type(f(A).b) # N: Revealed type is "attr.Attribute[builtins.int]" f(A).x # E: "____main___A_AttrsAttributes__" has no attribute "x" for ff in f(A): reveal_type(ff) # N: Revealed type is "attr.Attribute[Any]" [builtins fixtures/plugin_attrs.pyi] [case testAttrsGenericFields] from typing import TypeVar import attr from attrs import fields @attr.define class A: b: int c: str TA = TypeVar('TA', bound=A) def f(t: TA) -> None: reveal_type(fields(t)) # N: Revealed type is "tuple[attr.Attribute[builtins.int], attr.Attribute[builtins.str], fallback=__main__.A.____main___A_AttrsAttributes__]" reveal_type(fields(t)[0]) # N: Revealed type is "attr.Attribute[builtins.int]" reveal_type(fields(t).b) # N: Revealed type is "attr.Attribute[builtins.int]" fields(t).x # E: "____main___A_AttrsAttributes__" has no attribute "x" [builtins fixtures/plugin_attrs.pyi] [case testNonattrsFields] from typing import Any, cast, Type from attrs import fields, has class A: b: int c: str if has(A): fields(A) else: fields(A) # E: Argument 1 to "fields" has incompatible type "type[A]"; expected "type[AttrsInstance]" fields(None) # E: Argument 1 to "fields" has incompatible type "None"; expected "type[AttrsInstance]" fields(cast(Any, 42)) fields(cast(Type[Any], 43)) [builtins fixtures/plugin_attrs.pyi] [case testAttrsInitMethodAlwaysGenerates] from typing import Tuple import attr @attr.define(init=False) class A: b: int c: str def __init__(self, bc: Tuple[int, str]) -> None: b, c = bc self.__attrs_init__(b, c) reveal_type(A) # N: Revealed type is "def (bc: tuple[builtins.int, builtins.str]) -> __main__.A" reveal_type(A.__init__) # N: Revealed type is "def (self: __main__.A, bc: tuple[builtins.int, builtins.str])" reveal_type(A.__attrs_init__) # N: Revealed type is "def (self: __main__.A, b: builtins.int, c: builtins.str)" [builtins fixtures/plugin_attrs.pyi] [case testAttrsClassWithSlots] import attr @attr.define class Define: b: int = attr.ib() def __attrs_post_init__(self) -> None: self.b = 1 self.c = 2 # E: Trying to assign name "c" that is not in "__slots__" of type "__main__.Define" @attr.define(slots=False) class DefineSlotsFalse: b: int = attr.ib() def __attrs_post_init__(self) -> None: self.b = 1 self.c = 2 @attr.s(slots=True) class A: b: int = attr.ib() def __attrs_post_init__(self) -> None: self.b = 1 self.c = 2 # E: Trying to assign name "c" that is not in "__slots__" of type "__main__.A" @attr.dataclass(slots=True) class B: __slots__ = () # would be replaced b: int def __attrs_post_init__(self) -> None: self.b = 1 self.c = 2 # E: Trying to assign name "c" that is not in "__slots__" of type "__main__.B" @attr.dataclass(slots=False) class C: __slots__ = () # would not be replaced b: int def __attrs_post_init__(self) -> None: self.b = 1 # E: Trying to assign name "b" that is not in "__slots__" of type "__main__.C" self.c = 2 # E: Trying to assign name "c" that is not in "__slots__" of type "__main__.C" [builtins fixtures/plugin_attrs.pyi] [case testAttrsClassWithSlotsDerivedFromNonSlots] import attrs class A: pass @attrs.define(slots=True) class B(A): x: int def __attrs_post_init__(self) -> None: self.y = 42 [builtins fixtures/plugin_attrs.pyi] [case testRuntimeSlotsAttr] from attr import dataclass @dataclass(slots=True) class Some: x: int y: str z: bool reveal_type(Some.__slots__) # N: Revealed type is "tuple[builtins.str, builtins.str, builtins.str]" @dataclass(slots=True) class Other: x: int y: str reveal_type(Other.__slots__) # N: Revealed type is "tuple[builtins.str, builtins.str]" @dataclass class NoSlots: x: int y: str NoSlots.__slots__ # E: "type[NoSlots]" has no attribute "__slots__" [builtins fixtures/plugin_attrs.pyi] [case testAttrsWithMatchArgs] # flags: --python-version 3.10 import attr @attr.s(match_args=True, auto_attribs=True) class ToMatch: x: int y: int # Not included: z: int = attr.field(kw_only=True) i: int = attr.field(init=False) reveal_type(ToMatch(x=1, y=2, z=3).__match_args__) # N: Revealed type is "tuple[Literal['x']?, Literal['y']?]" reveal_type(ToMatch(1, 2, z=3).__match_args__) # N: Revealed type is "tuple[Literal['x']?, Literal['y']?]" [builtins fixtures/plugin_attrs.pyi] [case testAttrsWithMatchArgsDefaultCase] # flags: --python-version 3.10 import attr @attr.s(auto_attribs=True) class ToMatch1: x: int y: int t1: ToMatch1 reveal_type(t1.__match_args__) # N: Revealed type is "tuple[Literal['x']?, Literal['y']?]" @attr.define class ToMatch2: x: int y: int t2: ToMatch2 reveal_type(t2.__match_args__) # N: Revealed type is "tuple[Literal['x']?, Literal['y']?]" [builtins fixtures/plugin_attrs.pyi] [case testAttrsWithMatchArgsOverrideExisting] # flags: --python-version 3.10 import attr from typing import Final @attr.s(match_args=True, auto_attribs=True) class ToMatch: __match_args__: Final = ('a', 'b') x: int y: int # It works the same way runtime does: reveal_type(ToMatch(x=1, y=2).__match_args__) # N: Revealed type is "tuple[Literal['a']?, Literal['b']?]" @attr.s(auto_attribs=True) class WithoutMatch: __match_args__: Final = ('a', 'b') x: int y: int reveal_type(WithoutMatch(x=1, y=2).__match_args__) # N: Revealed type is "tuple[Literal['a']?, Literal['b']?]" [builtins fixtures/plugin_attrs.pyi] [case testAttrsWithMatchArgsOldVersion] # flags: --python-version 3.9 import attr @attr.s(match_args=True) class NoMatchArgs: ... n: NoMatchArgs reveal_type(n.__match_args__) # E: "NoMatchArgs" has no attribute "__match_args__" \ # N: Revealed type is "Any" [builtins fixtures/plugin_attrs.pyi] [case testAttrsMultipleInheritance] # flags: --python-version 3.10 import attr @attr.s class A: x = attr.ib(type=int) @attr.s class B: y = attr.ib(type=int) class AB(A, B): pass [builtins fixtures/plugin_attrs.pyi] [typing fixtures/typing-full.pyi] [case testAttrsForwardReferenceInTypeVarBound] from typing import TypeVar, Generic import attr T = TypeVar("T", bound="C") @attr.define class D(Generic[T]): x: int class C: pass [builtins fixtures/plugin_attrs.pyi] [case testComplexTypeInAttrIb] import a [file a.py] import attr import b from typing import Callable @attr.s class C: a = attr.ib(type=Lst[int]) # Note that for this test, the 'Value of type "int" is not indexable' errors are silly, # and a consequence of Callable etc. being set to an int in the test stub. b = attr.ib(type=Callable[[], C]) [file b.py] import attr import a from typing import List as Lst, Optional @attr.s class D: a = attr.ib(type=Lst[int]) b = attr.ib(type=Optional[int]) [builtins fixtures/list.pyi] [out] tmp/b.py:8: error: Value of type "int" is not indexable tmp/a.py:7: error: Name "Lst" is not defined tmp/a.py:10: error: Value of type "int" is not indexable [case testAttrsGenericInheritanceSpecialCase1] import attr from typing import Generic, TypeVar, List T = TypeVar("T") @attr.define class Parent(Generic[T]): x: List[T] @attr.define class Child1(Parent["Child2"]): ... @attr.define class Child2(Parent["Child1"]): ... def f(c: Child2) -> None: reveal_type(Child1([c]).x) # N: Revealed type is "builtins.list[__main__.Child2]" def g(c: Child1) -> None: reveal_type(Child2([c]).x) # N: Revealed type is "builtins.list[__main__.Child1]" [builtins fixtures/list.pyi] [case testAttrsGenericInheritanceSpecialCase2] import attr from typing import Generic, TypeVar T = TypeVar("T") # A subclass might be analyzed before base in import cycles. They are # defined here in reversed order to simulate this. @attr.define class Child1(Parent["Child2"]): x: int @attr.define class Child2(Parent["Child1"]): y: int @attr.define class Parent(Generic[T]): key: str Child1(x=1, key='') Child2(y=1, key='') [builtins fixtures/list.pyi] [case testAttrsUnsupportedConverterWithDisallowUntypedDefs] # flags: --disallow-untyped-defs import attr from typing import Mapping, Any, Union def default_if_none(factory: Any) -> Any: pass @attr.s(slots=True, frozen=True) class C: name: Union[str, None] = attr.ib(default=None) options: Mapping[str, Mapping[str, Any]] = attr.ib( default=None, converter=default_if_none(factory=dict) \ # E: Unsupported converter, only named functions, types and lambdas are currently supported ) [builtins fixtures/plugin_attrs.pyi] [case testAttrsUnannotatedConverter] import attr def foo(value): return value.split() @attr.s class Bar: field = attr.ib(default=None, converter=foo) reveal_type(Bar) # N: Revealed type is "def (field: Any =) -> __main__.Bar" bar = Bar("Hello") reveal_type(bar.field) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testAttrsLambdaConverter] import attr @attr.s class Bar: name: str = attr.ib(converter=lambda s: s.lower()) reveal_type(Bar) # N: Revealed type is "def (name: Any) -> __main__.Bar" bar = Bar("Hello") reveal_type(bar.name) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testAttrsNestedClass] from typing import List import attr @attr.s class C: @attr.s class D: pass x = attr.ib(type=List[D]) c = C(x=[C.D()]) reveal_type(c.x) # N: Revealed type is "builtins.list[__main__.C.D]" [builtins fixtures/list.pyi] [case testRedefinitionInFrozenClassNoCrash] import attr @attr.s class MyData: is_foo: bool = attr.ib() @staticmethod # E: Name "is_foo" already defined on line 5 def is_foo(string: str) -> bool: ... [builtins fixtures/classmethod.pyi] [case testOverrideWithPropertyInFrozenClassNoCrash] from attrs import frozen @frozen(kw_only=True) class Base: name: str @frozen(kw_only=True) class Sub(Base): first_name: str last_name: str @property def name(self) -> str: ... [builtins fixtures/plugin_attrs.pyi] [case testOverrideWithPropertyInFrozenClassChecked] from attrs import frozen @frozen(kw_only=True) class Base: name: str @frozen(kw_only=True) class Sub(Base): first_name: str last_name: str @property def name(self) -> int: ... # E: Signature of "name" incompatible with supertype "Base" \ # N: Superclass: \ # N: str \ # N: Subclass: \ # N: int # This matches runtime semantics reveal_type(Sub) # N: Revealed type is "def (*, name: builtins.str, first_name: builtins.str, last_name: builtins.str) -> __main__.Sub" [builtins fixtures/plugin_attrs.pyi] [case testFinalInstanceAttribute] from attrs import define from typing import Final @define class C: a: Final[int] reveal_type(C) # N: Revealed type is "def (a: builtins.int) -> __main__.C" C(1).a = 2 # E: Cannot assign to final attribute "a" [builtins fixtures/property.pyi] [case testFinalInstanceAttributeInheritance] from attrs import define from typing import Final @define class C: a: Final[int] @define class D(C): b: Final[str] reveal_type(D) # N: Revealed type is "def (a: builtins.int, b: builtins.str) -> __main__.D" D(1, "").a = 2 # E: Cannot assign to final attribute "a" D(1, "").b = "2" # E: Cannot assign to final attribute "b" [builtins fixtures/property.pyi] [case testEvolve] import attr class Base: pass class Derived(Base): pass class Other: pass @attr.s(auto_attribs=True) class C: name: str b: Base c = C(name='foo', b=Derived()) c = attr.evolve(c) c = attr.evolve(c, name='foo') c = attr.evolve(c, 'foo') # E: Too many positional arguments for "evolve" of "C" c = attr.evolve(c, b=Derived()) c = attr.evolve(c, b=Base()) c = attr.evolve(c, b=Other()) # E: Argument "b" to "evolve" of "C" has incompatible type "Other"; expected "Base" c = attr.evolve(c, name=42) # E: Argument "name" to "evolve" of "C" has incompatible type "int"; expected "str" c = attr.evolve(c, foobar=42) # E: Unexpected keyword argument "foobar" for "evolve" of "C" # test passing instance as 'inst' kw c = attr.evolve(inst=c, name='foo') c = attr.evolve(not_inst=c, name='foo') # E: Missing positional argument "inst" in call to "evolve" # test determining type of first argument's expression from something that's not NameExpr def f() -> C: return c c = attr.evolve(f(), name='foo') [builtins fixtures/plugin_attrs.pyi] [case testEvolveFromNonAttrs] import attr attr.evolve(42, name='foo') # E: Argument 1 to "evolve" has incompatible type "int"; expected an attrs class attr.evolve(None, name='foo') # E: Argument 1 to "evolve" has incompatible type "None"; expected an attrs class [case testEvolveFromAny] from typing import Any import attr any: Any = 42 ret = attr.evolve(any, name='foo') reveal_type(ret) # N: Revealed type is "Any" [typing fixtures/typing-medium.pyi] [case testEvolveGeneric] import attrs from typing import Generic, TypeVar T = TypeVar('T') @attrs.define class A(Generic[T]): x: T a = A(x=42) reveal_type(a) # N: Revealed type is "__main__.A[builtins.int]" a2 = attrs.evolve(a, x=42) reveal_type(a2) # N: Revealed type is "__main__.A[builtins.int]" a2 = attrs.evolve(a, x='42') # E: Argument "x" to "evolve" of "A[int]" has incompatible type "str"; expected "int" reveal_type(a2) # N: Revealed type is "__main__.A[builtins.int]" [builtins fixtures/plugin_attrs.pyi] [case testEvolveUnion] # flags: --python-version 3.10 from typing import Generic, TypeVar import attrs T = TypeVar('T') @attrs.define class A(Generic[T]): x: T # exercises meet(T=int, int) = int y: bool # exercises meet(bool, int) = bool z: str # exercises meet(str, bytes) = Never w: dict # exercises meet(dict, Never) = Never @attrs.define class B: x: int y: bool z: bytes a_or_b: A[int] | B a2 = attrs.evolve(a_or_b, x=42, y=True) a2 = attrs.evolve(a_or_b, x=42, y=True, z='42') # E: Argument "z" to "evolve" of "Union[A[int], B]" has incompatible type "str"; expected "Never" a2 = attrs.evolve(a_or_b, x=42, y=True, w={}) # E: Argument "w" to "evolve" of "Union[A[int], B]" has incompatible type "dict[Never, Never]"; expected "Never" [builtins fixtures/plugin_attrs.pyi] [case testEvolveUnionOfTypeVar] # flags: --python-version 3.10 import attrs from typing import TypeVar @attrs.define class A: x: int y: int z: str w: dict class B: pass TA = TypeVar('TA', bound=A) TB = TypeVar('TB', bound=B) def f(b_or_t: TA | TB | int) -> None: a2 = attrs.evolve(b_or_t) # E: Argument 1 to "evolve" has type "Union[TA, TB, int]" whose item "TB" is not bound to an attrs class \ # E: Argument 1 to "evolve" has incompatible type "Union[TA, TB, int]" whose item "int" is not an attrs class [builtins fixtures/plugin_attrs.pyi] [case testEvolveTypeVarBound] import attrs from typing import TypeVar @attrs.define class A: x: int @attrs.define class B(A): pass TA = TypeVar('TA', bound=A) def f(t: TA) -> TA: t2 = attrs.evolve(t, x=42) reveal_type(t2) # N: Revealed type is "TA`-1" t3 = attrs.evolve(t, x='42') # E: Argument "x" to "evolve" of "TA" has incompatible type "str"; expected "int" return t2 f(A(x=42)) f(B(x=42)) [builtins fixtures/plugin_attrs.pyi] [case testEvolveTypeVarBoundNonAttrs] import attrs from typing import Union, TypeVar TInt = TypeVar('TInt', bound=int) TAny = TypeVar('TAny') TNone = TypeVar('TNone', bound=None) TUnion = TypeVar('TUnion', bound=Union[str, int]) def f(t: TInt) -> None: _ = attrs.evolve(t, x=42) # E: Argument 1 to "evolve" has a variable type "TInt" not bound to an attrs class def g(t: TAny) -> None: _ = attrs.evolve(t, x=42) # E: Argument 1 to "evolve" has a variable type "TAny" not bound to an attrs class def h(t: TNone) -> None: _ = attrs.evolve(t, x=42) # E: Argument 1 to "evolve" has a variable type "TNone" not bound to an attrs class def x(t: TUnion) -> None: _ = attrs.evolve(t, x=42) # E: Argument 1 to "evolve" has incompatible type "TUnion" whose item "str" is not an attrs class \ # E: Argument 1 to "evolve" has incompatible type "TUnion" whose item "int" is not an attrs class [builtins fixtures/plugin_attrs.pyi] [case testEvolveTypeVarConstrained] import attrs from typing import TypeVar @attrs.define class A: x: int @attrs.define class B: x: str # conflicting with A.x T = TypeVar('T', A, B) def f(t: T) -> T: t2 = attrs.evolve(t, x=42) # E: Argument "x" to "evolve" of "B" has incompatible type "int"; expected "str" reveal_type(t2) # N: Revealed type is "__main__.A" # N: Revealed type is "__main__.B" t2 = attrs.evolve(t, x='42') # E: Argument "x" to "evolve" of "A" has incompatible type "str"; expected "int" return t2 f(A(x=42)) f(B(x='42')) [builtins fixtures/plugin_attrs.pyi] [case testEvolveVariants] from typing import Any import attr import attrs @attr.s(auto_attribs=True) class C: name: str c = C(name='foo') c = attr.assoc(c, name='test') c = attr.assoc(c, name=42) # E: Argument "name" to "assoc" of "C" has incompatible type "int"; expected "str" c = attrs.evolve(c, name='test') c = attrs.evolve(c, name=42) # E: Argument "name" to "evolve" of "C" has incompatible type "int"; expected "str" c = attrs.assoc(c, name='test') c = attrs.assoc(c, name=42) # E: Argument "name" to "assoc" of "C" has incompatible type "int"; expected "str" [builtins fixtures/plugin_attrs.pyi] [typing fixtures/typing-medium.pyi] [case testFrozenInheritFromGeneric] from typing import Generic, TypeVar from attrs import field, frozen T = TypeVar('T') def f(s: str) -> int: ... @frozen class A(Generic[T]): x: T y: int = field(converter=f) @frozen class B(A[int]): pass b = B(42, 'spam') reveal_type(b.x) # N: Revealed type is "builtins.int" reveal_type(b.y) # N: Revealed type is "builtins.int" [builtins fixtures/plugin_attrs.pyi] [case testDefaultHashability] from attrs import define @define class A: a: int reveal_type(A.__hash__) # N: Revealed type is "None" [builtins fixtures/plugin_attrs.pyi] [case testFrozenHashability] from attrs import frozen @frozen class A: a: int reveal_type(A.__hash__) # N: Revealed type is "def (self: builtins.object) -> builtins.int" [builtins fixtures/plugin_attrs.pyi] [case testManualHashHashability] from attrs import define @define(hash=True) class A: a: int reveal_type(A.__hash__) # N: Revealed type is "def (self: builtins.object) -> builtins.int" [builtins fixtures/plugin_attrs.pyi] [case testManualUnsafeHashHashability] from attrs import define @define(unsafe_hash=True) class A: a: int reveal_type(A.__hash__) # N: Revealed type is "def (self: builtins.object) -> builtins.int" [builtins fixtures/plugin_attrs.pyi] [case testSubclassingHashability] from attrs import define @define(unsafe_hash=True) class A: a: int @define class B(A): pass reveal_type(B.__hash__) # N: Revealed type is "None" [builtins fixtures/plugin_attrs.pyi] [case testManualOwnHashability] from attrs import define, frozen @define class A: a: int def __hash__(self) -> int: ... reveal_type(A.__hash__) # N: Revealed type is "def (self: __main__.A) -> builtins.int" [builtins fixtures/plugin_attrs.pyi] [case testSubclassDefaultLosesHashability] from attrs import define, frozen @define class A: a: int def __hash__(self) -> int: ... @define class B(A): pass reveal_type(B.__hash__) # N: Revealed type is "None" [builtins fixtures/plugin_attrs.pyi] [case testSubclassEqFalseKeepsHashability] from attrs import define, frozen @define class A: a: int def __hash__(self) -> int: ... @define(eq=False) class B(A): pass reveal_type(B.__hash__) # N: Revealed type is "def (self: __main__.A) -> builtins.int" [builtins fixtures/plugin_attrs.pyi] [case testSubclassingFrozenHashability] from attrs import define, frozen @define class A: a: int @frozen class B(A): pass reveal_type(B.__hash__) # N: Revealed type is "def (self: builtins.object) -> builtins.int" [builtins fixtures/plugin_attrs.pyi] [case testSubclassingFrozenHashOffHashability] from attrs import define, frozen @define class A: a: int def __hash__(self) -> int: ... @frozen(unsafe_hash=False) class B(A): pass reveal_type(B.__hash__) # N: Revealed type is "None" [builtins fixtures/plugin_attrs.pyi] [case testUnsafeHashPrecedence] from attrs import define, frozen @define(unsafe_hash=True, hash=False) class A: pass reveal_type(A.__hash__) # N: Revealed type is "def (self: builtins.object) -> builtins.int" @define(unsafe_hash=False, hash=True) class B: pass reveal_type(B.__hash__) # N: Revealed type is "None" [builtins fixtures/plugin_attrs.pyi] [case testAttrsStrictOptionalSetProperly] from typing import Generic, Optional, TypeVar import attr T = TypeVar("T") @attr.mutable() class Parent(Generic[T]): run_type: Optional[int] = None @attr.mutable() class Child(Parent[float]): pass Parent(run_type = None) c = Child(run_type = None) reveal_type(c.run_type) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/plugin_attrs.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-plugin-error-codes.test0000644000175100017510000000150615112307767022622 0ustar00runnerrunner[case testCustomErrorCodeFromPluginIsTargetable] # flags: --config-file tmp/mypy.ini --show-error-codes def main() -> None: return main() # E: Custom error [custom] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/custom_errorcode.py [case testCustomErrorCodeCanBeDisabled] # flags: --config-file tmp/mypy.ini --show-error-codes --disable-error-code=custom def main() -> None: return main() # no output expected when disabled [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/custom_errorcode.py [case testCustomErrorCodeCanBeReenabled] # flags: --config-file tmp/mypy.ini --show-error-codes --disable-error-code=custom --enable-error-code=custom def main() -> None: return main() # E: Custom error [custom] [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/custom_errorcode.py ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-possibly-undefined.test0000644000175100017510000005200015112307767022700 0ustar00runnerrunner[case testDefinedInOneBranch] # flags: --enable-error-code possibly-undefined if int(): a = 1 else: x = 2 z = a + 1 # E: Name "a" may be undefined z = a + 1 # We only report the error on first occurrence. [case testElif] # flags: --enable-error-code possibly-undefined if int(): a = 1 elif int(): a = 2 else: x = 3 z = a + 1 # E: Name "a" may be undefined [case testUsedInIf] # flags: --enable-error-code possibly-undefined if int(): y = 1 if int(): x = y # E: Name "y" may be undefined [case testDefinedInAllBranches] # flags: --enable-error-code possibly-undefined if int(): a = 1 elif int(): a = 2 else: a = 3 z = a + 1 [case testOmittedElse] # flags: --enable-error-code possibly-undefined if int(): a = 1 z = a + 1 # E: Name "a" may be undefined [case testUpdatedInIf] # flags: --enable-error-code possibly-undefined # Variable a is already defined. Just updating it in an "if" is acceptable. a = 1 if int(): a = 2 z = a + 1 [case testNestedIf] # flags: --enable-error-code possibly-undefined if int(): if int(): a = 1 x = 1 x = x + 1 else: a = 2 b = a + x # E: Name "x" may be undefined b = b + 1 else: b = 2 z = a + b # E: Name "a" may be undefined [case testVeryNestedIf] # flags: --enable-error-code possibly-undefined if int(): if int(): if int(): a = 1 else: a = 2 x = a else: a = 2 b = a else: b = 2 z = a + b # E: Name "a" may be undefined [case testTupleUnpack] # flags: --enable-error-code possibly-undefined if int(): (x, y) = (1, 2) else: [y, z] = [1, 2] a = y + x # E: Name "x" may be undefined a = y + z # E: Name "z" may be undefined [case testIndexExpr] # flags: --enable-error-code possibly-undefined if int(): *x, y = (1, 2) else: x = [1, 2] a = x # No error. b = y # E: Name "y" may be undefined [case testRedefined] # flags: --enable-error-code possibly-undefined y = 3 if int(): if int(): y = 2 x = y + 2 else: if int(): y = 2 x = y + 2 x = y + 2 [case testFunction] # flags: --enable-error-code possibly-undefined def f0() -> None: if int(): def some_func() -> None: pass some_func() # E: Name "some_func" may be undefined def f1() -> None: if int(): def some_func() -> None: pass else: def some_func() -> None: pass some_func() # No error. [case testLambda] # flags: --enable-error-code possibly-undefined def f0(b: bool) -> None: if b: fn = lambda: 2 y = fn # E: Name "fn" may be undefined [case testUsedBeforeDefClass] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f(x: A): # No error here. pass y = A() # E: Name "A" is used before definition class A: pass [case testClassScope] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def class C: x = 0 def f0(self) -> None: pass def f2(self) -> None: f0() # No error. self.f0() # No error. f0() # E: Name "f0" is used before definition def f0() -> None: pass y = x # E: Name "x" is used before definition x = 1 [case testClassInsideFunction] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f() -> None: class C: pass c = C() # E: Name "C" is used before definition class C: pass [case testUsedBeforeDefFunc] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def foo() # E: Name "foo" is used before definition def foo(): pass [case testGenerator] # flags: --enable-error-code possibly-undefined if int(): a = 3 s = [a + 1 for a in [1, 2, 3]] x = a # E: Name "a" may be undefined [case testScope] # flags: --enable-error-code possibly-undefined def foo() -> None: if int(): y = 2 if int(): y = 3 x = y # E: Name "y" may be undefined [case testVarDefinedInOuterScopeUpdated] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f0() -> None: global x y = x x = 1 # No error. x = 2 [case testNonlocalVar] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f0() -> None: x = 2 def inner() -> None: nonlocal x y = x x = 1 # No error. [case testGlobalDeclarationAfterUsage] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f0() -> None: y = x # E: Name "x" is used before definition global x x = 1 # No error. x = 2 [case testVarDefinedInOuterScope] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f0() -> None: global x y = x # We do not detect such errors right now. f0() x = 1 [case testDefinedInOuterScopeNoError] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def foo() -> None: bar() def bar() -> None: foo() [case testClassFromOuterScopeRedefined] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def class c: pass def f0() -> None: s = c() # E: Name "c" is used before definition class c: pass def f1() -> None: s = c() # No error. def f2() -> None: s = c() # E: Name "c" is used before definition if int(): class c: pass glob = c() def f3(x: c = glob) -> None: glob = 123 [case testVarFromOuterScopeRedefined] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def x = 0 def f0() -> None: y = x # E: Name "x" is used before definition x = 0 def f1() -> None: y = x # No error. def f2() -> None: y = x # E: Name "x" is used before definition global x def f3() -> None: global x y = x # No error. def f4() -> None: if int(): x = 0 y = x # E: Name "x" may be undefined [case testFuncParams] # flags: --enable-error-code possibly-undefined def foo(a: int) -> None: if int(): a = 2 x = a [case testWhile] # flags: --enable-error-code possibly-undefined while int(): a = 1 x = a # E: Name "a" may be undefined while int(): b = 1 else: b = 2 y = b # No error. while True: c = 1 if int(): break y = c # No error. # This while loop doesn't have a `break` inside, so we know that the else must always get executed. while int(): pass else: d = 1 y = d # No error. while int(): if int(): break else: e = 1 # If a while loop has a `break`, it's possible that the else didn't get executed. y = e # E: Name "e" may be undefined while int(): while int(): if int(): break else: f = 1 else: g = 2 y = f # E: Name "f" may be undefined y = g [case testForLoop] # flags: --enable-error-code possibly-undefined for x in [1, 2, 3]: if x: x = 1 y = x else: z = 2 a = z + y # E: Name "y" may be undefined [case testReturn] # flags: --enable-error-code possibly-undefined def f1() -> int: if int(): x = 1 else: return 0 return x def f2() -> int: if int(): x = 1 elif int(): return 0 else: x = 2 return x def f3() -> int: if int(): x = 1 elif int(): return 0 else: y = 2 return x # E: Name "x" may be undefined def f4() -> int: if int(): x = 1 elif int(): return 0 else: return 0 return x def f5() -> int: # This is a test against crashes. if int(): return 1 if int(): return 2 else: return 3 return 1 def f6() -> int: if int(): x = 0 return x return x # E: Name "x" may be undefined [case testDefinedDifferentBranchUsedBeforeDef] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f0() -> None: if int(): x = 0 else: y = x # E: Name "x" is used before definition z = x # E: Name "x" is used before definition def f1() -> None: x = 1 if int(): x = 0 else: y = x # No error. def f2() -> None: if int(): x = 0 elif int(): y = x # E: Name "x" is used before definition else: y = x # E: Name "x" is used before definition if int(): z = x # E: Name "x" is used before definition x = 1 else: x = 2 w = x # No error. [case testPossiblyUndefinedLoop] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f0() -> None: first_iter = True for i in [0, 1]: if first_iter: first_iter = False x = 0 elif int(): # This is technically a false positive but mypy isn't smart enough for this yet. y = x # E: Name "x" may be undefined else: y = x # E: Name "x" may be undefined if int(): z = x # E: Name "x" may be undefined x = 1 else: x = 2 w = x # No error. def f1() -> None: while True: if int(): x = 0 else: y = x # E: Name "x" may be undefined z = x # E: Name "x" may be undefined def f2() -> None: for i in [0, 1]: x = i else: y = x # E: Name "x" may be undefined def f3() -> None: while int(): x = 1 else: y = x # E: Name "x" may be undefined def f4() -> None: while int(): y = x # E: Name "x" may be undefined x: int = 1 [case testAssert] # flags: --enable-error-code possibly-undefined def f1() -> int: if int(): x = 1 else: assert False, "something something" return x def f2() -> int: if int(): x = 1 elif int(): assert False else: y = 2 return x # E: Name "x" may be undefined [case testRaise] # flags: --enable-error-code possibly-undefined def f1() -> int: if int(): x = 1 else: raise BaseException("something something") return x def f2() -> int: if int(): x = 1 elif int(): raise BaseException("something something") else: y = 2 return x # E: Name "x" may be undefined [builtins fixtures/exception.pyi] [case testContinue] # flags: --enable-error-code possibly-undefined def f1() -> int: while int(): if int(): x = 1 else: continue y = x else: x = 2 return x def f2() -> int: while int(): if int(): x = 1 elif int(): pass else: continue y = x # E: Name "x" may be undefined return x # E: Name "x" may be undefined def f3() -> None: while True: if int(): x = 2 elif int(): continue else: continue y = x [case testBreak] # flags: --enable-error-code possibly-undefined def f1() -> None: while int(): if int(): x = 1 else: break y = x # No error -- x is always defined. def f2() -> None: while int(): if int(): x = 1 elif int(): pass else: break y = x # E: Name "x" may be undefined def f3() -> None: while int(): x = 1 while int(): if int(): x = 2 else: break y = x z = x # E: Name "x" may be undefined [case testTryBasic] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f1() -> int: try: x = 1 except: pass return x # E: Name "x" may be undefined def f2() -> int: try: pass except: x = 1 return x # E: Name "x" may be undefined def f3() -> int: try: x = 1 except: y = x # E: Name "x" may be undefined return x # E: Name "x" may be undefined def f4() -> int: try: x = 1 except: return 0 return x def f5() -> int: try: x = 1 except: raise return x def f6() -> None: try: pass except BaseException as exc: x = exc # No error. exc = BaseException() # This case is covered by the other check, not by possibly undefined check. y = exc # E: Trying to read deleted variable "exc" def f7() -> int: try: if int(): x = 1 assert False except: pass return x # E: Name "x" may be undefined [builtins fixtures/exception.pyi] [case testTryMultiExcept] # flags: --enable-error-code possibly-undefined def f1() -> int: try: x = 1 except BaseException: x = 2 except: x = 3 return x def f2() -> int: try: x = 1 except BaseException: pass except: x = 3 return x # E: Name "x" may be undefined [builtins fixtures/exception.pyi] [case testTryFinally] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f1() -> int: try: x = 1 finally: x = 2 return x def f2() -> int: try: pass except: pass finally: x = 2 return x def f3() -> int: try: x = 1 except: pass finally: y = x # E: Name "x" may be undefined return x def f4() -> int: try: x = 0 except BaseException: raise finally: y = x # E: Name "x" may be undefined return y def f5() -> int: try: if int(): x = 1 else: return 0 finally: pass return x # No error. def f6() -> int: try: if int(): x = 1 else: return 0 finally: a = x # E: Name "x" may be undefined return a [builtins fixtures/exception.pyi] [case testTryElse] # flags: --enable-error-code possibly-undefined def f1() -> int: try: return 0 except BaseException: x = 1 else: x = 2 finally: y = x return y def f2() -> int: try: pass except: x = 1 else: x = 2 return x def f3() -> int: try: pass except: x = 1 else: pass return x # E: Name "x" may be undefined def f4() -> int: try: x = 1 except: x = 2 else: pass return x def f5() -> int: try: pass except: x = 1 else: return 1 return x [builtins fixtures/exception.pyi] [case testNoReturn] # flags: --enable-error-code possibly-undefined from typing import NoReturn def fail() -> NoReturn: assert False def f() -> None: if int(): x = 1 elif int(): x = 2 y = 3 else: # This has a NoReturn type, so we can skip it. fail() z = y # E: Name "y" may be undefined z = x [case testDictComprehension] # flags: --enable-error-code possibly-undefined def f() -> None: for _ in [1, 2]: key = 2 val = 2 x = ( key, # E: Name "key" may be undefined val, # E: Name "val" may be undefined ) d = [(0, "a"), (1, "b")] {val: key for key, val in d} [builtins fixtures/dict.pyi] [case testWithStmt] # flags: --enable-error-code possibly-undefined from contextlib import contextmanager @contextmanager def ctx(*args): yield 1 def f() -> None: if int(): a = b = 1 x = 1 with ctx() as a, ctx(a) as b, ctx(x) as x: # E: Name "x" may be undefined c = a c = b d = a d = b [builtins fixtures/tuple.pyi] [case testUnreachable] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def import typing def f0() -> None: if typing.TYPE_CHECKING: x = 1 elif int(): y = 1 else: y = 2 a = x def f1() -> None: if not typing.TYPE_CHECKING: pass else: z = 1 a = z def f2() -> None: if typing.TYPE_CHECKING: x = 1 else: y = x [typing fixtures/typing-medium.pyi] [case testUsedBeforeDef] # flags: --enable-error-code used-before-def def f0() -> None: x = y # E: Name "y" is used before definition y: int = 1 def f2() -> None: if int(): pass else: # No used-before-def error. y = z # E: Name "z" is not defined def inner2() -> None: z = 0 def f3() -> None: if int(): pass else: y = z # E: Name "z" is used before definition z: int = 2 def f4() -> None: if int(): pass else: y = z # E: Name "z" is used before definition x = z # E: Name "z" is used before definition z: int = 2 [case testUsedBeforeDefImportsBasicImportNoError] # flags: --enable-error-code used-before-def --enable-error-code possibly-undefined --disable-error-code no-redef import foo # type: ignore a = foo # No error. foo: int = 1 [case testUsedBeforeDefImportsDotImport] # flags: --enable-error-code used-before-def --enable-error-code possibly-undefined --disable-error-code no-redef import x.y # type: ignore a = y # E: Name "y" is used before definition y: int = 1 b = x # No error. x: int = 1 c = x.y # No error. x: int = 1 [case testUsedBeforeDefImportBasicRename] # flags: --enable-error-code used-before-def --disable-error-code=no-redef import x.y as z # type: ignore from typing import Any a = z # No error. z: int = 1 a = x # E: Name "x" is used before definition x: int = 1 a = y # E: Name "y" is used before definition y: int = 1 [case testUsedBeforeDefImportFrom] # flags: --enable-error-code used-before-def --disable-error-code no-redef from foo import x # type: ignore a = x # No error. x: int = 1 [case testUsedBeforeDefImportFromRename] # flags: --enable-error-code used-before-def --disable-error-code no-redef from foo import x as y # type: ignore a = y # No error. y: int = 1 a = x # E: Name "x" is used before definition x: int = 1 [case testUsedBeforeDefFunctionDeclarations] # flags: --enable-error-code used-before-def def f0() -> None: def inner() -> None: pass inner() # No error. inner = lambda: None [case testUsedBeforeDefBuiltinsFunc] # flags: --enable-error-code used-before-def def f0() -> None: s = type(123) # E: Name "type" is used before definition type = "abc" a = type def f1() -> None: s = type(123) [case testUsedBeforeDefBuiltinsGlobal] # flags: --enable-error-code used-before-def s = type(123) type = "abc" a = type [case testUsedBeforeDefBuiltinsClass] # flags: --enable-error-code used-before-def class C: s = type type = s [case testUsedBeforeDefBuiltinsGenerator] # flags: --enable-error-code used-before-def def f0() -> None: _ = [type for type in [type("a"), type(1)]] [case testUsedBeforeDefBuiltinsMultipass] # flags: --enable-error-code used-before-def # When doing multiple passes, mypy resolves references slightly differently. # In this case, it would refer the earlier `type` call to the range class defined below. _type = type # No error _C = C # E: Name "C" is used before definition class type: pass class C: pass [case testUsedBeforeDefImplicitModuleAttrs] # flags: --enable-error-code used-before-def a = __name__ # No error. __name__ = "abc" [case testUntypedDef] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def def f(): if int(): x = 0 z = y # No used-before-def error because def is untyped. y = x # No possibly-undefined error because def is untyped. [case testUntypedDefCheckUntypedDefs] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def --check-untyped-defs def f(): if int(): x = 0 z = y # E: Name "y" is used before definition y: int = x # E: Name "x" may be undefined [case testClassBody] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def class A: # The following should not only trigger an error from semantic analyzer, but not the used-before-def check. y = x + 1 # E: Name "x" is not defined x = 0 # Same as above but in a loop, which should trigger a possibly-undefined error. for _ in [1, 2, 3]: b = a + 1 # E: Name "a" is not defined a = 0 class B: if int(): x = 0 else: # This type of check is not caught by the semantic analyzer. If we ever update it to catch such issues, # we should make sure that errors are not double-reported. y = x # E: Name "x" is used before definition for _ in [1, 2, 3]: if int(): a = 0 else: # Same as above but in a loop. b = a # E: Name "a" may be undefined [case testUnreachableCausingMissingTypeMap] # flags: --enable-error-code possibly-undefined --enable-error-code used-before-def --no-warn-unreachable # Regression test for https://github.com/python/mypy/issues/15958 from typing import Union, NoReturn def assert_never(__x: NoReturn) -> NoReturn: ... def foo(x: Union[int, str]) -> None: if isinstance(x, str): f = "foo" elif isinstance(x, int): f = "bar" else: assert_never(x) f # OK [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-protocols.test0000644000175100017510000035743215112307767021142 0ustar00runnerrunner-- Simple protocol types -- --------------------- [case testCannotInstantiateProtocol] from typing import Protocol class P(Protocol): def meth(self) -> None: pass P() # E: Cannot instantiate protocol class "P" [case testSimpleProtocolOneMethod] from typing import Protocol class P(Protocol): def meth(self) -> None: pass class B: pass class C: def meth(self) -> None: pass x: P def fun(x: P) -> None: x.meth() x.meth(x) # E: Too many arguments for "meth" of "P" x.bad # E: "P" has no attribute "bad" x = C() x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "P") fun(C()) fun(B()) # E: Argument 1 to "fun" has incompatible type "B"; expected "P" def fun2() -> P: return C() def fun3() -> P: return B() # E: Incompatible return value type (got "B", expected "P") [case testProtocolAttrAccessDecoratedGetAttrDunder] from typing import Any, Protocol, Callable def typed_decorator(fun: Callable) -> Callable[[Any, str], str]: pass def untyped_decorator(fun): pass class P(Protocol): @property def x(self) -> int: pass class A: @untyped_decorator def __getattr__(self, key: str) -> int: pass class B: @typed_decorator def __getattr__(self, key: str) -> int: pass class C: def __getattr__(self, key: str) -> int: pass def fun(x: P) -> None: pass a: A reveal_type(a.x) fun(a) b: B reveal_type(b.x) fun(b) c: C reveal_type(c.x) fun(c) [out] main:32: note: Revealed type is "Any" main:36: note: Revealed type is "builtins.str" main:37: error: Argument 1 to "fun" has incompatible type "B"; expected "P" main:37: note: Following member(s) of "B" have conflicts: main:37: note: x: expected "int", got "str" main:40: note: Revealed type is "builtins.int" [builtins fixtures/bool.pyi] [case testSimpleProtocolOneAbstractMethod] from typing import Protocol from abc import abstractmethod class P(Protocol): @abstractmethod def meth(self) -> None: pass class B: pass class C: def meth(self) -> None: pass class D(B): def meth(self) -> None: pass x: P def fun(x: P) -> None: x.meth() x.meth(x) # E: Too many arguments for "meth" of "P" x.bad # E: "P" has no attribute "bad" x = C() x = D() x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "P") fun(C()) fun(D()) fun(B()) # E: Argument 1 to "fun" has incompatible type "B"; expected "P" fun(x) [case testProtocolMethodBodies] from typing import Protocol, List class P(Protocol): def meth(self) -> int: return 'no way' # E: Incompatible return value type (got "str", expected "int") # explicit ellipsis is OK in protocol methods class P2(Protocol): def meth2(self) -> List[int]: ... [builtins fixtures/list.pyi] [case testSimpleProtocolOneMethodOverride] from typing import Protocol, Union class P(Protocol): def meth(self) -> Union[int, str]: pass class SubP(P, Protocol): def meth(self) -> int: pass class B: pass class C: def meth(self) -> int: pass z: P x: SubP def fun(x: SubP) -> str: x.bad # E: "SubP" has no attribute "bad" return x.meth() # E: Incompatible return value type (got "int", expected "str") z = x x = C() x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "SubP") reveal_type(fun(C())) # N: Revealed type is "builtins.str" fun(B()) # E: Argument 1 to "fun" has incompatible type "B"; expected "SubP" [case testSimpleProtocolTwoMethodsMerge] from typing import Protocol class P1(Protocol): def meth1(self) -> int: pass class P2(Protocol): def meth2(self) -> str: pass class P(P1, P2, Protocol): pass class B: pass class C1: def meth1(self) -> int: pass class C2(C1): def meth2(self) -> str: pass class C: def meth1(self) -> int: pass def meth2(self) -> str: pass class AnotherP(Protocol): def meth1(self) -> int: pass def meth2(self) -> str: pass x: P reveal_type(x.meth1()) # N: Revealed type is "builtins.int" reveal_type(x.meth2()) # N: Revealed type is "builtins.str" c: C c1: C1 c2: C2 y: AnotherP if int(): x = c if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "P") if int(): x = c1 # E: Incompatible types in assignment (expression has type "C1", variable has type "P") \ # N: "C1" is missing following "P" protocol member: \ # N: meth2 if int(): x = c2 if int(): x = y if int(): y = x [case testSimpleProtocolTwoMethodsExtend] from typing import Protocol class P1(Protocol): def meth1(self) -> int: pass class P2(P1, Protocol): def meth2(self) -> str: pass class Cbad: def meth1(self) -> int: pass class C: def meth1(self) -> int: pass def meth2(self) -> str: pass x: P2 reveal_type(x.meth1()) # N: Revealed type is "builtins.int" reveal_type(x.meth2()) # N: Revealed type is "builtins.str" if int(): x = C() # OK if int(): x = Cbad() # E: Incompatible types in assignment (expression has type "Cbad", variable has type "P2") \ # N: "Cbad" is missing following "P2" protocol member: \ # N: meth2 [case testProtocolMethodVsAttributeErrors] from typing import Protocol class P(Protocol): def meth(self) -> int: pass class C: meth: int x: P = C() # E: Incompatible types in assignment (expression has type "C", variable has type "P") \ # N: Following member(s) of "C" have conflicts: \ # N: meth: expected "Callable[[], int]", got "int" [case testProtocolMethodVsAttributeErrors2] from typing import Protocol class P(Protocol): @property def meth(self) -> int: pass class C: def meth(self) -> int: pass x: P = C() # E: Incompatible types in assignment (expression has type "C", variable has type "P") \ # N: Following member(s) of "C" have conflicts: \ # N: meth: expected "int", got "Callable[[], int]" [builtins fixtures/property.pyi] [case testCannotAssignNormalToProtocol] from typing import Protocol class P(Protocol): def meth(self) -> int: pass class C: def meth(self) -> int: pass x: C y: P x = y # E: Incompatible types in assignment (expression has type "P", variable has type "C") [case testIndependentProtocolSubtyping] from typing import Protocol class P1(Protocol): def meth(self) -> int: pass class P2(Protocol): def meth(self) -> int: pass x1: P1 x2: P2 x1 = x2 x2 = x1 def f1(x: P1) -> None: pass def f2(x: P2) -> None: pass f1(x2) f2(x1) [case testNoneDisablesProtocolImplementation] from typing import Protocol class MyHashable(Protocol): def __my_hash__(self) -> int: return 0 class C: __my_hash__ = None var: MyHashable = C() # E: Incompatible types in assignment (expression has type "C", variable has type "MyHashable") \ # N: Following member(s) of "C" have conflicts: \ # N: __my_hash__: expected "Callable[[], int]", got "None" [case testNoneDisablesProtocolSubclassingWithStrictOptional] from typing import Protocol class MyHashable(Protocol): def __my_hash__(self) -> int: return 0 class C(MyHashable): __my_hash__ = None # E: Incompatible types in assignment \ (expression has type "None", base class "MyHashable" defined the type as "Callable[[], int]") [case testProtocolsWithNoneAndStrictOptional] from typing import Protocol class P(Protocol): x = 0 # type: int class C: x = None x: P = C() # Error! def f(x: P) -> None: pass f(C()) # Error! [out] main:8: error: Incompatible types in assignment (expression has type "C", variable has type "P") main:8: note: Following member(s) of "C" have conflicts: main:8: note: x: expected "int", got "None" main:10: error: Argument 1 to "f" has incompatible type "C"; expected "P" main:10: note: Following member(s) of "C" have conflicts: main:10: note: x: expected "int", got "None" -- Semanal errors in protocol types -- -------------------------------- [case testBasicSemanalErrorsInProtocols] from typing import Protocol, Generic, TypeVar, Iterable T = TypeVar('T', covariant=True) S = TypeVar('S', covariant=True) class P1(Protocol[T, T]): # E: Duplicate type variables in Generic[...] or Protocol[...] def meth(self) -> T: pass class P2(Protocol[T], Protocol[S]): # E: Only single Generic[...] or Protocol[...] can be in bases def meth(self) -> T: pass class P3(Protocol[T], Generic[S]): # E: Only single Generic[...] or Protocol[...] can be in bases def meth(self) -> T: pass class P4(Protocol[T]): attr: Iterable[S] # E: Type variable "__main__.S" is unbound \ # N: (Hint: Use "Generic[S]" or "Protocol[S]" base class to bind "S" inside a class) \ # N: (Hint: Use "S" in function signature to bind "S" inside a function) class P5(Iterable[S], Protocol[T]): # E: If Generic[...] or Protocol[...] is present it should list all type variables def meth(self) -> T: pass [case testProhibitSelfDefinitionInProtocols] from typing import Protocol class P(Protocol): def __init__(self, a: int) -> None: self.a = a # E: Protocol members cannot be defined via assignment to self \ # E: "P" has no attribute "a" class B: pass class C: def __init__(self, a: int) -> None: pass x: P x = B() # The above has an incompatible __init__, but mypy ignores this for nominal subtypes? x = C(1) class P2(Protocol): a: int def __init__(self) -> None: self.a = 1 class B2(P2): a: int x2: P2 = B2() # OK [case testProtocolAndRuntimeAreDefinedAlsoInTypingExtensions] from typing_extensions import Protocol, runtime_checkable @runtime_checkable class P(Protocol): def meth(self) -> int: pass x: object if isinstance(x, P): reveal_type(x) # N: Revealed type is "__main__.P" reveal_type(x.meth()) # N: Revealed type is "builtins.int" class C: def meth(self) -> int: pass z: P = C() [builtins fixtures/dict.pyi] [case testProtocolsCannotInheritFromNormal] from typing import Protocol class C: pass class D: pass class P(C, Protocol): # E: All bases of a protocol must be protocols attr: int class P2(P, D, Protocol): # E: All bases of a protocol must be protocols pass P2() # E: Cannot instantiate protocol class "P2" p: P2 reveal_type(p.attr) # N: Revealed type is "builtins.int" -- Generic protocol types -- ---------------------- [case testGenericMethodWithProtocol] from typing import Protocol, TypeVar T = TypeVar('T') class P(Protocol): def meth(self, x: int) -> int: return x class C: def meth(self, x: T) -> T: return x x: P = C() [case testGenericMethodWithProtocol2] from typing import Protocol, TypeVar T = TypeVar('T') class P(Protocol): def meth(self, x: T) -> T: return x class C: def meth(self, x: int) -> int: return x x: P = C() [out] main:11: error: Incompatible types in assignment (expression has type "C", variable has type "P") main:11: note: Following member(s) of "C" have conflicts: main:11: note: Expected: main:11: note: def [T] meth(self, x: T) -> T main:11: note: Got: main:11: note: def meth(self, x: int) -> int [case testAutomaticProtocolVariance] from typing import TypeVar, Protocol T = TypeVar('T') # In case of these errors we proceed with declared variance. class Pco(Protocol[T]): # E: Invariant type variable "T" used in protocol where covariant one is expected def meth(self) -> T: pass class Pcontra(Protocol[T]): # E: Invariant type variable "T" used in protocol where contravariant one is expected def meth(self, x: T) -> None: pass class Pinv(Protocol[T]): attr: T class A: pass class B(A): pass x1: Pco[B] y1: Pco[A] if int(): x1 = y1 # E: Incompatible types in assignment (expression has type "Pco[A]", variable has type "Pco[B]") if int(): y1 = x1 # E: Incompatible types in assignment (expression has type "Pco[B]", variable has type "Pco[A]") x2: Pcontra[B] y2: Pcontra[A] if int(): y2 = x2 # E: Incompatible types in assignment (expression has type "Pcontra[B]", variable has type "Pcontra[A]") if int(): x2 = y2 # E: Incompatible types in assignment (expression has type "Pcontra[A]", variable has type "Pcontra[B]") x3: Pinv[B] y3: Pinv[A] if int(): y3 = x3 # E: Incompatible types in assignment (expression has type "Pinv[B]", variable has type "Pinv[A]") if int(): x3 = y3 # E: Incompatible types in assignment (expression has type "Pinv[A]", variable has type "Pinv[B]") [case testProtocolVarianceWithCallableAndList] from typing import Protocol, TypeVar, Callable, List T = TypeVar('T') S = TypeVar('S') T_co = TypeVar('T_co', covariant=True) class P(Protocol[T, S]): # E: Invariant type variable "T" used in protocol where covariant one is expected \ # E: Invariant type variable "S" used in protocol where contravariant one is expected def fun(self, callback: Callable[[T], S]) -> None: pass class P2(Protocol[T_co]): # E: Covariant type variable "T_co" used in protocol where invariant one is expected lst: List[T_co] [builtins fixtures/list.pyi] [case testProtocolConstraintsUnsolvableWithSelfAnnotation1] # https://github.com/python/mypy/issues/11020 from typing import overload, Protocol, TypeVar I = TypeVar('I', covariant=True) V_contra = TypeVar('V_contra', contravariant=True) class C(Protocol[I]): def __abs__(self: 'C[V_contra]') -> 'C[V_contra]': ... @overload def f(self: 'C', q: int) -> int: ... @overload def f(self: 'C[float]', q: float) -> 'C[float]': ... [builtins fixtures/bool.pyi] [case testProtocolConstraintsUnsolvableWithSelfAnnotation2] # https://github.com/python/mypy/issues/11020 from typing import Protocol, TypeVar I = TypeVar('I', covariant=True) V = TypeVar('V') class C(Protocol[I]): def g(self: 'C[V]') -> 'C[V]': ... class D: pass x: C = D() # E: Incompatible types in assignment (expression has type "D", variable has type "C[Any]") [builtins fixtures/bool.pyi] [case testProtocolConstraintsUnsolvableWithSelfAnnotation3] # https://github.com/python/mypy/issues/11020 from typing import Protocol, TypeVar I = TypeVar('I', covariant=True) V = TypeVar('V') class C(Protocol[I]): def g(self: 'C[V]') -> 'C[V]': ... class D: def g(self) -> D: ... x: C = D() [builtins fixtures/bool.pyi] [case testProtocolVarianceWithUnusedVariable] from typing import Protocol, TypeVar T = TypeVar('T') class P(Protocol[T]): # E: Invariant type variable "T" used in protocol where covariant one is expected attr: int [case testGenericProtocolsInference1] from typing import Protocol, Sequence, TypeVar T = TypeVar('T', covariant=True) class Closeable(Protocol[T]): def close(self) -> T: pass class F: def close(self) -> int: return 0 def close(arg: Closeable[T]) -> T: return arg.close() def close_all(args: Sequence[Closeable[T]]) -> T: for arg in args: arg.close() return args[0].close() arg: Closeable[int] reveal_type(close(F())) # N: Revealed type is "builtins.int" reveal_type(close(arg)) # N: Revealed type is "builtins.int" reveal_type(close_all([F()])) # N: Revealed type is "builtins.int" reveal_type(close_all([arg])) # N: Revealed type is "builtins.int" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] [case testProtocolGenericInference2] from typing import Generic, TypeVar, Protocol T = TypeVar('T') S = TypeVar('S') class P(Protocol[T, S]): x: T y: S class C: x: int y: int def fun3(x: P[T, T]) -> T: pass reveal_type(fun3(C())) # N: Revealed type is "builtins.int" [case testProtocolGenericInferenceCovariant] from typing import Generic, TypeVar, Protocol T = TypeVar('T', covariant=True) S = TypeVar('S', covariant=True) U = TypeVar('U') class P(Protocol[T, S]): def x(self) -> T: pass def y(self) -> S: pass class C: def x(self) -> int: pass def y(self) -> int: pass def fun4(x: U, y: P[U, U]) -> U: pass reveal_type(fun4('a', C())) # N: Revealed type is "builtins.object" [case testUnrealtedGenericProtocolsEquivalent] from typing import TypeVar, Protocol T = TypeVar('T') class PA(Protocol[T]): attr: int def meth(self) -> T: pass def other(self, arg: T) -> None: pass class PB(Protocol[T]): # exactly the same as above attr: int def meth(self) -> T: pass def other(self, arg: T) -> None: pass def fun(x: PA[T]) -> PA[T]: y: PB[T] = x z: PB[T] return z x: PA y: PB x = y y = x xi: PA[int] yi: PB[int] xi = yi yi = xi [case testGenericSubProtocols] from typing import TypeVar, Protocol, Tuple, Generic T = TypeVar('T') S = TypeVar('S') class P1(Protocol[T]): attr1: T class P2(P1[T], Protocol[T, S]): attr2: Tuple[T, S] class C: def __init__(self, a1: int, a2: Tuple[int, int]) -> None: self.attr1 = a1 self.attr2 = a2 c: C var: P2[int, int] = c var2: P2[int, str] = c # E: Incompatible types in assignment (expression has type "C", variable has type "P2[int, str]") \ # N: Following member(s) of "C" have conflicts: \ # N: attr2: expected "tuple[int, str]", got "tuple[int, int]" class D(Generic[T]): attr1: T class E(D[T]): attr2: Tuple[T, T] def f(x: T) -> T: z: P2[T, T] = E[T]() y: P2[T, T] = D[T]() # E: Incompatible types in assignment (expression has type "D[T]", variable has type "P2[T, T]") \ # N: "D" is missing following "P2" protocol member: \ # N: attr2 return x [builtins fixtures/isinstancelist.pyi] [case testGenericSubProtocolsExtensionInvariant] from typing import TypeVar, Protocol, Union T = TypeVar('T') S = TypeVar('S') class P1(Protocol[T]): attr1: T class P2(Protocol[T]): attr2: T class P(P1[T], P2[S], Protocol): pass class C: attr1: int attr2: str class A: attr1: A class B: attr2: B class D(A, B): pass x: P = D() # Same as P[Any, Any] var: P[Union[int, P], Union[P, str]] = C() # E: Incompatible types in assignment (expression has type "C", variable has type "P[Union[int, P[Any, Any]], Union[P[Any, Any], str]]") \ # N: Following member(s) of "C" have conflicts: \ # N: attr1: expected "Union[int, P[Any, Any]]", got "int" \ # N: attr2: expected "Union[P[Any, Any], str]", got "str" [case testGenericSubProtocolsExtensionCovariant] from typing import TypeVar, Protocol, Union T = TypeVar('T', covariant=True) S = TypeVar('S', covariant=True) class P1(Protocol[T]): def attr1(self) -> T: pass class P2(Protocol[T]): def attr2(self) -> T: pass class P(P1[T], P2[S], Protocol): pass class C: def attr1(self) -> int: pass def attr2(self) -> str: pass var: P[Union[int, P], Union[P, str]] = C() # OK for covariant var2: P[Union[str, P], Union[P, int]] = C() [out] main:18: error: Incompatible types in assignment (expression has type "C", variable has type "P[Union[str, P[Any, Any]], Union[P[Any, Any], int]]") main:18: note: Following member(s) of "C" have conflicts: main:18: note: Expected: main:18: note: def attr1(self) -> Union[str, P[Any, Any]] main:18: note: Got: main:18: note: def attr1(self) -> int main:18: note: Expected: main:18: note: def attr2(self) -> Union[P[Any, Any], int] main:18: note: Got: main:18: note: def attr2(self) -> str [case testSelfTypesWithProtocolsBehaveAsWithNominal] from typing import Protocol, TypeVar T = TypeVar('T', bound='Shape') class Shape(Protocol): def combine(self: T, other: T) -> T: pass class NonProtoShape: def combine(self: T, other: T) -> T: pass class Circle: def combine(self: T, other: Shape) -> T: pass class Triangle: def combine(self, other: Shape) -> Shape: pass class Bad: def combine(self, other: int) -> str: pass def f(s: Shape) -> None: pass f(NonProtoShape()) f(Circle()) s: Shape if int(): s = Triangle() s = Bad() n2: NonProtoShape = s [out] main:26: error: Incompatible types in assignment (expression has type "Triangle", variable has type "Shape") main:26: note: Following member(s) of "Triangle" have conflicts: main:26: note: Expected: main:26: note: def combine(self, other: Triangle) -> Triangle main:26: note: Got: main:26: note: def combine(self, other: Shape) -> Shape main:27: error: Incompatible types in assignment (expression has type "Bad", variable has type "Shape") main:27: note: Following member(s) of "Bad" have conflicts: main:27: note: Expected: main:27: note: def combine(self, other: Bad) -> Bad main:27: note: Got: main:27: note: def combine(self, other: int) -> str main:29: error: Incompatible types in assignment (expression has type "Shape", variable has type "NonProtoShape") [case testBadVarianceInProtocols] from typing import Protocol, TypeVar T_co = TypeVar('T_co', covariant=True) T_contra = TypeVar('T_contra', contravariant=True) class Proto(Protocol[T_co, T_contra]): # type: ignore def one(self, x: T_co) -> None: # E: Cannot use a covariant type variable as a parameter pass def other(self) -> T_contra: # E: Cannot use a contravariant type variable as return type pass # Check that we respect user overrides of variance after the errors are reported x: Proto[int, float] y: Proto[float, int] y = x # OK [builtins fixtures/list.pyi] [case testSubtleBadVarianceInProtocols] from typing import Protocol, TypeVar, Iterable, Sequence T_co = TypeVar('T_co', covariant=True) T_contra = TypeVar('T_contra', contravariant=True) class Proto(Protocol[T_co, T_contra]): # E: Covariant type variable "T_co" used in protocol where contravariant one is expected \ # E: Contravariant type variable "T_contra" used in protocol where covariant one is expected def one(self, x: Iterable[T_co]) -> None: pass def other(self) -> Sequence[T_contra]: pass # Check that we respect user overrides of variance after the errors are reported x: Proto[int, float] y: Proto[float, int] y = x # OK [builtins fixtures/list.pyi] -- Recursive protocol types -- ------------------------ [case testRecursiveProtocols1] from typing import Protocol, Sequence, List, Generic, TypeVar T = TypeVar('T') class Traversable(Protocol): @property def leaves(self) -> Sequence[Traversable]: pass class C: pass class D(Generic[T]): leaves: List[D[T]] t: Traversable t = D[int]() # OK if int(): t = C() # E: Incompatible types in assignment (expression has type "C", variable has type "Traversable") [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] [case testRecursiveProtocols2] from typing import Protocol, TypeVar T = TypeVar('T') class Linked(Protocol[T]): val: T def next(self) -> Linked[T]: pass class L: val: int def next(self) -> L: pass def last(seq: Linked[T]) -> T: pass reveal_type(last(L())) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testRecursiveProtocolSubtleMismatch] from typing import Protocol, TypeVar T = TypeVar('T') class Linked(Protocol[T]): val: T def next(self) -> Linked[T]: pass class L: val: int def next(self) -> int: pass def last(seq: Linked[T]) -> T: pass last(L()) # E: Argument 1 to "last" has incompatible type "L"; expected "Linked[Never]" [case testMutuallyRecursiveProtocols] from typing import Protocol, Sequence, List class P1(Protocol): @property def attr1(self) -> Sequence[P2]: pass class P2(Protocol): @property def attr2(self) -> Sequence[P1]: pass class C: pass class A: attr1: List[B] class B: attr2: List[A] t: P1 t = A() # OK if int(): t = B() # E: Incompatible types in assignment (expression has type "B", variable has type "P1") t = C() # E: Incompatible types in assignment (expression has type "C", variable has type "P1") [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] [case testMutuallyRecursiveProtocolsTypesWithSubteMismatch] from typing import Protocol, Sequence, List class P1(Protocol): @property def attr1(self) -> Sequence[P2]: pass class P2(Protocol): @property def attr2(self) -> Sequence[P1]: pass class C: pass class A: attr1: List[B] class B: attr2: List[C] t: P1 t = A() # E: Incompatible types in assignment (expression has type "A", variable has type "P1") \ # N: Following member(s) of "A" have conflicts: \ # N: attr1: expected "Sequence[P2]", got "list[B]" [builtins fixtures/list.pyi] [case testMutuallyRecursiveProtocolsTypesWithSubteMismatchWriteable] from typing import Protocol class P1(Protocol): @property def attr1(self) -> P2: pass class P2(Protocol): attr2: P1 class A: attr1: B class B: attr2: A x: P1 = A() # E: Incompatible types in assignment (expression has type "A", variable has type "P1") \ # N: Following member(s) of "A" have conflicts: \ # N: attr1: expected "P2", got "B" [builtins fixtures/property.pyi] [case testTwoUncomfortablyIncompatibleProtocolsWithoutRunningInIssue9771] from typing import cast, Protocol, TypeVar, Union T1 = TypeVar("T1", covariant=True) T2 = TypeVar("T2") class P1(Protocol[T1]): def b(self) -> int: ... def a(self, other: "P1[T2]") -> T1: ... class P2(Protocol[T1]): def a(self, other: Union[P1[T2], "P2[T2]"]) -> T1: ... p11: P1 = cast(P1, 1) p12: P1 = cast(P2, 1) # E p21: P2 = cast(P1, 1) p22: P2 = cast(P2, 1) # E [out] main:14: error: Incompatible types in assignment (expression has type "P2[Any]", variable has type "P1[Any]") main:14: note: "P2" is missing following "P1" protocol member: main:14: note: b main:15: error: Incompatible types in assignment (expression has type "P1[Any]", variable has type "P2[Any]") main:15: note: Following member(s) of "P1[Any]" have conflicts: main:15: note: Expected: main:15: note: def [T2] a(self, other: Union[P1[T2], P2[T2]]) -> Any main:15: note: Got: main:15: note: def [T2] a(self, other: P1[T2]) -> Any [case testHashable] from typing import Hashable, Iterable def f(x: Hashable) -> None: pass def g(x: Iterable[str]) -> None: f(x) # E: Argument 1 to "f" has incompatible type "Iterable[str]"; expected "Hashable" [builtins fixtures/object_hashable.pyi] [typing fixtures/typing-full.pyi] -- FIXME: things like this should work [case testWeirdRecursiveInferenceForProtocols-skip] from typing import Protocol, TypeVar, Generic T_co = TypeVar('T_co', covariant=True) T = TypeVar('T') class P(Protocol[T_co]): def meth(self) -> P[T_co]: pass class C(Generic[T]): def meth(self) -> C[T]: pass x: C[int] def f(arg: P[T]) -> T: pass reveal_type(f(x)) #E: Revealed type is "builtins.int" -- @property, @classmethod and @staticmethod in protocol types -- ----------------------------------------------------------- [case testCannotInstantiateAbstractMethodExplicitProtocolSubtypes] from typing import Protocol from abc import abstractmethod class P(Protocol): @abstractmethod def meth(self) -> int: pass class A(P): pass A() # E: Cannot instantiate abstract class "A" with abstract attribute "meth" class C(A): def meth(self) -> int: pass class C2(P): def meth(self) -> int: pass C() C2() [case testCannotInstantiateAbstractVariableExplicitProtocolSubtypes] from typing import Protocol class P(Protocol): attr: int class A(P): pass A() # E: Cannot instantiate abstract class "A" with abstract attribute "attr" class C(A): attr: int class C2(P): def __init__(self) -> None: self.attr = 1 C() C2() class P2(Protocol): attr: int = 1 class B(P2): pass B() # OK, attr is not abstract [case testClassVarsInProtocols] from typing import Protocol, ClassVar class PInst(Protocol): v: int class PClass(Protocol): v: ClassVar[int] class CInst: v: int class CClass: v: ClassVar[int] x: PInst y: PClass x = CInst() if int(): x = CClass() # E: Incompatible types in assignment (expression has type "CClass", variable has type "PInst") \ # N: Protocol member PInst.v expected instance variable, got class variable y = CClass() if int(): y = CInst() # E: Incompatible types in assignment (expression has type "CInst", variable has type "PClass") \ # N: Protocol member PClass.v expected class variable, got instance variable [case testPropertyInProtocols] from typing import Protocol class PP(Protocol): @property def attr(self) -> int: pass class P(Protocol): attr: int x: P y: PP y = x x2: P y2: PP x2 = y2 # E: Incompatible types in assignment (expression has type "PP", variable has type "P") \ # N: Protocol member P.attr expected settable variable, got read-only attribute [builtins fixtures/property.pyi] [case testClassVarProtocolImmutable] from typing import Protocol, ClassVar class P(Protocol): @property def x(self) -> int: ... class C: x: ClassVar[int] class Bad: x: ClassVar[str] x: P = C() y: P = Bad() # E: Incompatible types in assignment (expression has type "Bad", variable has type "P") \ # N: Following member(s) of "Bad" have conflicts: \ # N: x: expected "int", got "str" [builtins fixtures/property.pyi] [case testSettablePropertyInProtocols] from typing import Protocol class PPS(Protocol): @property def attr(self) -> int: pass @attr.setter def attr(self, x: int) -> None: pass class PP(Protocol): @property def attr(self) -> int: pass class P(Protocol): attr: int x: P z: PPS z = x x2: P z2: PPS x2 = z2 y3: PP z3: PPS y3 = z3 y4: PP z4: PPS z4 = y4 # E: Incompatible types in assignment (expression has type "PP", variable has type "PPS") \ # N: Protocol member PPS.attr expected settable variable, got read-only attribute [builtins fixtures/property.pyi] [case testFinalAttributeProtocol] from typing import Protocol, Final class P(Protocol): x: int class C: def __init__(self, x: int) -> None: self.x = x class CF: def __init__(self, x: int) -> None: self.x: Final = x x: P y: P x = C(42) y = CF(42) # E: Incompatible types in assignment (expression has type "CF", variable has type "P") \ # N: Protocol member P.x expected settable variable, got read-only attribute [case testStaticAndClassMethodsInProtocols] from typing import Protocol, Type, TypeVar class P(Protocol): def meth(self, x: int) -> str: pass class PC(Protocol): @classmethod def meth(cls, x: int) -> str: pass class B: @staticmethod def meth(x: int) -> str: pass class C: def meth(self, x: int) -> str: pass x: P x = C() if int(): x = B() y: PC y = B() if int(): y = C() \ # E: Incompatible types in assignment (expression has type "C", variable has type "PC") \ # N: Protocol member PC.meth expected class or static method [builtins fixtures/classmethod.pyi] [case testOverloadedMethodsInProtocols] from typing import overload, Protocol, Union, Optional class P(Protocol): @overload def f(self, x: int) -> Optional[int]: pass @overload def f(self, x: str) -> Optional[str]: pass class C: def f(self, x: Union[int, str]) -> None: pass class D: def f(self, x: int) -> None: pass x: P = C() if int(): x = D() [out] main:18: error: Incompatible types in assignment (expression has type "D", variable has type "P") main:18: note: Following member(s) of "D" have conflicts: main:18: note: Expected: main:18: note: @overload main:18: note: def f(self, x: int) -> Optional[int] main:18: note: @overload main:18: note: def f(self, x: str) -> Optional[str] main:18: note: Got: main:18: note: def f(self, x: int) -> None [case testCannotInstantiateProtocolWithOverloadedUnimplementedMethod] from typing import overload, Protocol class P(Protocol): @overload def meth(self, x: int) -> int: pass @overload def meth(self, x: str) -> bytes: pass class C(P): pass C() # E: Cannot instantiate abstract class "C" with abstract attribute "meth" [case testCanUseOverloadedImplementationsInProtocols] from typing import overload, Protocol, Union class P(Protocol): @overload def meth(self, x: int) -> int: pass @overload def meth(self, x: str) -> bool: pass def meth(self, x: Union[int, str]): if isinstance(x, int): return x return True class C(P): pass x = C() reveal_type(x.meth('hi')) # N: Revealed type is "builtins.bool" [builtins fixtures/isinstance.pyi] [case testProtocolsWithIdenticalOverloads] from typing import overload, Protocol class PA(Protocol): @overload def meth(self, x: int) -> int: pass @overload def meth(self, x: str) -> bytes: pass class PB(Protocol): # identical to above @overload def meth(self, x: int) -> int: pass @overload def meth(self, x: str) -> bytes: pass x: PA y: PB x = y def fun(arg: PB) -> None: pass fun(x) [case testProtocolsWithIncompatibleOverloads] from typing import overload, Protocol class PA(Protocol): @overload def meth(self, x: int) -> int: pass @overload def meth(self, x: str) -> bytes: pass class PB(Protocol): @overload def meth(self, x: int) -> int: pass @overload def meth(self, x: bytes) -> str: pass x: PA y: PB x = y [out] main:16: error: Incompatible types in assignment (expression has type "PB", variable has type "PA") main:16: note: Following member(s) of "PB" have conflicts: main:16: note: Expected: main:16: note: @overload main:16: note: def meth(self, x: int) -> int main:16: note: @overload main:16: note: def meth(self, x: str) -> bytes main:16: note: Got: main:16: note: @overload main:16: note: def meth(self, x: int) -> int main:16: note: @overload main:16: note: def meth(self, x: bytes) -> str [case testProtocolWithMultiContravariantTypeVarOverloads] from typing import overload, Protocol, TypeVar T1 = TypeVar("T1", contravariant=True) T2 = TypeVar("T2", contravariant=True) class A(Protocol[T1, T2]): @overload def method(self, a: T1) -> None: ... @overload def method(self, a: T2) -> None: ... -- Join and meet with protocol types -- --------------------------------- [case testJoinProtocolWithProtocol] from typing import Protocol class P(Protocol): attr: int class P2(Protocol): attr: int attr2: str x: P y: P2 l0 = [x, x] l1 = [y, y] l = [x, y] reveal_type(l0) # N: Revealed type is "builtins.list[__main__.P]" reveal_type(l1) # N: Revealed type is "builtins.list[__main__.P2]" reveal_type(l) # N: Revealed type is "builtins.list[__main__.P]" [builtins fixtures/list.pyi] [case testJoinOfIncompatibleProtocols] from typing import Protocol class P(Protocol): attr: int class P2(Protocol): attr2: str x: P y: P2 reveal_type([x, y]) # N: Revealed type is "builtins.list[builtins.object]" [builtins fixtures/list.pyi] [case testJoinProtocolWithNormal] from typing import Protocol class P(Protocol): attr: int class C: attr: int x: P y: C l = [x, y] reveal_type(l) # N: Revealed type is "builtins.list[__main__.P]" [builtins fixtures/list.pyi] [case testMeetProtocolWithProtocol] from typing import Protocol, Callable, TypeVar class P(Protocol): attr: int class P2(Protocol): attr: int attr2: str T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: P, y: P2) -> None: pass reveal_type(f(g)) # N: Revealed type is "__main__.P2" [case testMeetOfIncompatibleProtocols] # flags: --no-strict-optional from typing import Protocol, Callable, TypeVar class P(Protocol): attr: int class P2(Protocol): attr2: str T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: P, y: P2) -> None: pass x = f(g) reveal_type(x) # N: Revealed type is "None" [case testMeetProtocolWithNormal] from typing import Protocol, Callable, TypeVar class P(Protocol): attr: int class C: attr: int T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: P, y: C) -> None: pass reveal_type(f(g)) # N: Revealed type is "__main__.C" [case testInferProtocolFromProtocol] from typing import Protocol, Sequence, TypeVar, Generic T = TypeVar('T') class Box(Protocol[T]): content: T class Linked(Protocol[T]): val: T def next(self) -> Linked[T]: pass class L(Generic[T]): val: Box[T] def next(self) -> L[T]: pass def last(seq: Linked[T]) -> T: pass reveal_type(last(L[int]())) # N: Revealed type is "__main__.Box[builtins.int]" reveal_type(last(L[str]()).content) # N: Revealed type is "builtins.str" [case testOverloadOnProtocol] from typing import overload, Protocol, runtime_checkable @runtime_checkable class P1(Protocol): attr1: int class P2(Protocol): attr2: str class C1: attr1: int class C2: attr2: str class C: pass @overload def f(x: P1) -> int: ... @overload def f(x: P2) -> str: ... def f(x: object) -> object: if isinstance(x, P1): return P1.attr1 if isinstance(x, P2): # E: Only @runtime_checkable protocols can be used with instance and class checks return P2.attr2 return None reveal_type(f(C1())) # N: Revealed type is "builtins.int" reveal_type(f(C2())) # N: Revealed type is "builtins.str" class D(C1, C2): pass # Compatible with both P1 and P2 # TODO: Should this return a union instead? reveal_type(f(D())) # N: Revealed type is "builtins.int" f(C()) # E: No overload variant of "f" matches argument type "C" \ # N: Possible overload variants: \ # N: def f(x: P1) -> int \ # N: def f(x: P2) -> str [builtins fixtures/isinstance.pyi] [typing fixtures/typing-full.pyi] -- Unions of protocol types -- ------------------------ [case testBasicUnionsOfProtocols] from typing import Union, Protocol class P1(Protocol): attr1: int class P2(Protocol): attr2: int class C1: attr1: int class C2: attr2: int class C(C1, C2): pass class B: ... x: Union[P1, P2] x = C1() if int(): x = C2() x = C() x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "Union[P1, P2]") [case testUnionsOfNormalClassesWithProtocols] from typing import Protocol, Union class P1(Protocol): attr1: int class P2(Protocol): attr2: int class C1: attr1: int class C2: attr2: int class C(C1, C2): pass class D1: attr1: int def f1(x: P1) -> None: pass def f2(x: P2) -> None: pass x: Union[C1, C2] y: Union[C1, D1] z: Union[C, D1] f1(x) # E: Argument 1 to "f1" has incompatible type "Union[C1, C2]"; expected "P1" f1(y) f1(z) f2(x) # E: Argument 1 to "f2" has incompatible type "Union[C1, C2]"; expected "P2" f2(z) # E: Argument 1 to "f2" has incompatible type "Union[C, D1]"; expected "P2" -- Type[] with protocol types -- -------------------------- [case testInstantiationProtocolInTypeForFunctions] from typing import Type, Protocol class P(Protocol): def m(self) -> None: return None class P1(Protocol): def m(self) -> None: pass class Pbad(Protocol): def mbad(self) -> int: pass class B(P): pass class C: def m(self) -> None: pass def f(cls: Type[P]) -> P: return cls() # OK def g() -> P: return P() # E: Cannot instantiate protocol class "P" f(P) # E: Only concrete class can be given where "type[P]" is expected f(B) # OK f(C) # OK x: Type[P1] xbad: Type[Pbad] f(x) # OK f(xbad) # E: Argument 1 to "f" has incompatible type "type[Pbad]"; expected "type[P]" [case testInstantiationProtocolInTypeForAliases] from typing import Type, Protocol class P(Protocol): def m(self) -> None: pass class C: def m(self) -> None: pass def f(cls: Type[P]) -> P: return cls() # OK Alias = P GoodAlias = C Alias() # E: Cannot instantiate protocol class "P" GoodAlias() f(Alias) # E: Only concrete class can be given where "type[P]" is expected f(GoodAlias) [case testInstantiationProtocolInTypeForVariables] # flags: --no-strict-optional from typing import Type, Protocol class P(Protocol): def m(self) -> None: return None class B(P): pass class C: def m(self) -> None: pass var: Type[P] var() if int(): var = P # E: Can only assign concrete classes to a variable of type "type[P]" var = B # OK var = C # OK var_old = None # type: Type[P] # Old syntax for variable annotations var_old() if int(): var_old = P # E: Can only assign concrete classes to a variable of type "type[P]" var_old = B # OK var_old = C # OK [case testInstantiationProtocolInTypeForClassMethods] from typing import Type, Protocol class Logger: @staticmethod def log(a: Type[C]): pass class C(Protocol): @classmethod def action(cls) -> None: cls() #OK for classmethods Logger.log(cls) #OK for classmethods [builtins fixtures/classmethod.pyi] -- isinstance() with @runtime_checkable protocols -- ---------------------------------------------- [case testSimpleRuntimeProtocolCheck] from typing import Protocol, runtime_checkable @runtime_checkable class C: # E: @runtime_checkable can only be used with protocol classes pass class P(Protocol): def meth(self) -> None: pass @runtime_checkable class R(Protocol): def meth(self) -> int: pass x: object if isinstance(x, P): # E: Only @runtime_checkable protocols can be used with instance and class checks reveal_type(x) # N: Revealed type is "__main__.P" if isinstance(x, R): reveal_type(x) # N: Revealed type is "__main__.R" reveal_type(x.meth()) # N: Revealed type is "builtins.int" [builtins fixtures/isinstance.pyi] [typing fixtures/typing-full.pyi] [case testRuntimeIterableProtocolCheck] from typing import Iterable, List, Union x: Union[int, List[str]] if isinstance(x, Iterable): reveal_type(x) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-full.pyi] [case testConcreteClassesInProtocolsIsInstance] from typing import Protocol, runtime_checkable, TypeVar, Generic T = TypeVar('T') @runtime_checkable class P1(Protocol): def meth1(self) -> int: pass @runtime_checkable class P2(Protocol): def meth2(self) -> int: pass @runtime_checkable class P(P1, P2, Protocol): pass class C1(Generic[T]): def meth1(self) -> T: pass class C2: def meth2(self) -> int: pass class C(C1[int], C2): pass c = C() if isinstance(c, P1): reveal_type(c) # N: Revealed type is "__main__.C" else: reveal_type(c) # Unreachable if isinstance(c, P): reveal_type(c) # N: Revealed type is "__main__.C" else: reveal_type(c) # Unreachable c1i: C1[int] if isinstance(c1i, P1): reveal_type(c1i) # N: Revealed type is "__main__.C1[builtins.int]" else: reveal_type(c1i) # Unreachable if isinstance(c1i, P): reveal_type(c1i) # N: Revealed type is "__main__." else: reveal_type(c1i) # N: Revealed type is "__main__.C1[builtins.int]" c1s: C1[str] if isinstance(c1s, P1): reveal_type(c1s) # Unreachable else: reveal_type(c1s) # N: Revealed type is "__main__.C1[builtins.str]" c2: C2 if isinstance(c2, P): reveal_type(c2) # N: Revealed type is "__main__." else: reveal_type(c2) # N: Revealed type is "__main__.C2" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-full.pyi] [case testConcreteClassesUnionInProtocolsIsInstance] from typing import Protocol, runtime_checkable, TypeVar, Generic, Union T = TypeVar('T') @runtime_checkable class P1(Protocol): def meth1(self) -> int: pass @runtime_checkable class P2(Protocol): def meth2(self) -> int: pass class C1(Generic[T]): def meth1(self) -> T: pass class C2: def meth2(self) -> int: pass x: Union[C1[int], C2] if isinstance(x, P1): reveal_type(x) # N: Revealed type is "__main__.C1[builtins.int]" else: reveal_type(x) # N: Revealed type is "__main__.C2" if isinstance(x, P2): reveal_type(x) # N: Revealed type is "__main__.C2" else: reveal_type(x) # N: Revealed type is "__main__.C1[builtins.int]" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-full.pyi] -- Non-Instances and protocol types (Callable vs __call__ etc.) -- ------------------------------------------------------------ [case testBasicTupleStructuralSubtyping] from typing import Tuple, TypeVar, Protocol T = TypeVar('T', covariant=True) class MyProto(Protocol[T]): def __len__(self) -> T: pass t: Tuple[int, str] def f(x: MyProto[int]) -> None: pass f(t) # OK y: MyProto[str] y = t # E: Incompatible types in assignment (expression has type "tuple[int, str]", variable has type "MyProto[str]") [builtins fixtures/isinstancelist.pyi] [case testBasicNamedTupleStructuralSubtyping] from typing import NamedTuple, TypeVar, Protocol T = TypeVar('T', covariant=True) S = TypeVar('S', covariant=True) class P(Protocol[T, S]): @property def x(self) -> T: pass @property def y(self) -> S: pass class N(NamedTuple): x: int y: str class N2(NamedTuple): x: int class N3(NamedTuple): x: int y: int z: N z3: N3 def fun(x: P[int, str]) -> None: pass def fun2(x: P[int, int]) -> None: pass def fun3(x: P[T, T]) -> T: return x.x fun(z) fun2(z) # E: Argument 1 to "fun2" has incompatible type "N"; expected "P[int, int]" \ # N: Following member(s) of "N" have conflicts: \ # N: y: expected "int", got "str" fun(N2(1)) # E: Argument 1 to "fun" has incompatible type "N2"; expected "P[int, str]" \ # N: "N2" is missing following "P" protocol member: \ # N: y reveal_type(fun3(z)) # N: Revealed type is "builtins.object" reveal_type(fun3(z3)) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testBasicCallableStructuralSubtyping] from typing import Callable, Generic, TypeVar def apply(f: Callable[[int], int], x: int) -> int: return f(x) class Add5: def __call__(self, x: int) -> int: return x + 5 apply(Add5(), 5) T = TypeVar('T') def apply_gen(f: Callable[[T], T]) -> T: pass reveal_type(apply_gen(Add5())) # N: Revealed type is "builtins.int" def apply_str(f: Callable[[str], int], x: str) -> int: return f(x) apply_str(Add5(), 'a') # E: Argument 1 to "apply_str" has incompatible type "Add5"; expected "Callable[[str], int]" \ # N: "Add5.__call__" has type "def __call__(self, x: int) -> int" [builtins fixtures/isinstancelist.pyi] [case testMoreComplexCallableStructuralSubtyping] from mypy_extensions import Arg, VarArg from typing import Protocol, Callable def call_soon(cb: Callable[[Arg(int, 'x'), VarArg(str)], int]): pass class Good: def __call__(self, x: int, *rest: str) -> int: pass class Bad1: def __call__(self, x: int, *rest: int) -> int: pass class Bad2: def __call__(self, y: int, *rest: str) -> int: pass call_soon(Good()) call_soon(Bad1()) # E: Argument 1 to "call_soon" has incompatible type "Bad1"; expected "def (x: int, *str) -> int" \ # N: "Bad1.__call__" has type "def __call__(self, x: int, *rest: int) -> int" call_soon(Bad2()) # E: Argument 1 to "call_soon" has incompatible type "Bad2"; expected "def (x: int, *str) -> int" \ # N: "Bad2.__call__" has type "def __call__(self, y: int, *rest: str) -> int" [builtins fixtures/isinstancelist.pyi] [case testStructuralSupportForPartial] from typing import Callable, TypeVar, Generic, Any T = TypeVar('T') class partial(Generic[T]): def __init__(self, func: Callable[..., T], *args: Any) -> None: ... def __call__(self, *args: Any) -> T: ... def inc(a: int, temp: str) -> int: pass def foo(f: Callable[[int], T]) -> T: return f(1) reveal_type(foo(partial(inc, 'temp'))) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testStructuralInferenceForCallable] from typing import Callable, TypeVar, Tuple T = TypeVar('T') S = TypeVar('S') class Actual: def __call__(self, arg: int) -> str: pass def fun(cb: Callable[[T], S]) -> Tuple[T, S]: pass reveal_type(fun(Actual())) # N: Revealed type is "tuple[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] -- Standard protocol types (SupportsInt, Sized, etc.) -- -------------------------------------------------- -- More tests could be added for types from typing converted to protocols [case testBasicSizedProtocol] from typing import Sized class Foo: def __len__(self) -> int: return 42 def bar(a: Sized) -> int: return a.__len__() bar(Foo()) bar((1, 2)) bar(1) # E: Argument 1 to "bar" has incompatible type "int"; expected "Sized" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] [case testBasicSupportsIntProtocol] from typing import SupportsInt class Bar: def __int__(self): return 1 def foo(a: SupportsInt): pass foo(Bar()) foo('no way') # E: Argument 1 to "foo" has incompatible type "str"; expected "SupportsInt" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] -- Additional tests and corner cases for protocols -- ---------------------------------------------- [case testAnyWithProtocols] from typing import Protocol, Any, TypeVar T = TypeVar('T') class P1(Protocol): attr1: int class P2(Protocol[T]): attr2: T class P3(Protocol): attr: P3 def f1(x: P1) -> None: pass def f2(x: P2[str]) -> None: pass def f3(x: P3) -> None: pass class C1: attr1: Any class C2: attr2: Any class C3: attr: Any f1(C1()) f2(C2()) f3(C3()) f2(C3()) # E: Argument 1 to "f2" has incompatible type "C3"; expected "P2[str]" a: Any f1(a) f2(a) f3(a) [case testErrorsForProtocolsInDifferentPlaces] from typing import Protocol class P(Protocol): attr1: int attr2: str attr3: int class C: attr1: str @property def attr2(self) -> int: pass x: P = C() # E: Incompatible types in assignment (expression has type "C", variable has type "P") \ # N: "C" is missing following "P" protocol member: \ # N: attr3 \ # N: Following member(s) of "C" have conflicts: \ # N: attr1: expected "int", got "str" \ # N: attr2: expected "str", got "int" \ # N: Protocol member P.attr2 expected settable variable, got read-only attribute def f(x: P) -> P: return C() # E: Incompatible return value type (got "C", expected "P") \ # N: "C" is missing following "P" protocol member: \ # N: attr3 \ # N: Following member(s) of "C" have conflicts: \ # N: attr1: expected "int", got "str" \ # N: attr2: expected "str", got "int" \ # N: Protocol member P.attr2 expected settable variable, got read-only attribute f(C()) # E: Argument 1 to "f" has incompatible type "C"; expected "P" \ # N: "C" is missing following "P" protocol member: \ # N: attr3 \ # N: Following member(s) of "C" have conflicts: \ # N: attr1: expected "int", got "str" \ # N: attr2: expected "str", got "int" \ # N: Protocol member P.attr2 expected settable variable, got read-only attribute [builtins fixtures/list.pyi] [case testIterableProtocolOnClass] from typing import TypeVar, Iterator T = TypeVar('T', bound='A') class A: def __iter__(self: T) -> Iterator[T]: pass class B(A): pass reveal_type(list(b for b in B())) # N: Revealed type is "builtins.list[__main__.B]" reveal_type(list(B())) # N: Revealed type is "builtins.list[__main__.B]" [builtins fixtures/list.pyi] [case testIterableProtocolOnMetaclass] from typing import TypeVar, Iterator, Type T = TypeVar('T') class EMeta(type): def __iter__(self: Type[T]) -> Iterator[T]: pass class E(metaclass=EMeta): pass class C(E): pass reveal_type(list(c for c in C)) # N: Revealed type is "builtins.list[__main__.C]" reveal_type(list(C)) # N: Revealed type is "builtins.list[__main__.C]" [builtins fixtures/list.pyi] [case testClassesGetattrWithProtocols] from typing import Protocol class P(Protocol): attr: int class PP(Protocol): @property def attr(self) -> int: pass class C: def __getattr__(self, attr: str) -> int: pass class C2(C): def __setattr__(self, attr: str, val: int) -> None: pass class D: def __getattr__(self, attr: str) -> str: pass def fun(x: P) -> None: reveal_type(P.attr) # N: Revealed type is "builtins.int" def fun_p(x: PP) -> None: reveal_type(P.attr) # N: Revealed type is "builtins.int" fun(C()) # E: Argument 1 to "fun" has incompatible type "C"; expected "P" \ # N: Protocol member P.attr expected settable variable, got read-only attribute fun(C2()) fun_p(D()) # E: Argument 1 to "fun_p" has incompatible type "D"; expected "PP" \ # N: Following member(s) of "D" have conflicts: \ # N: attr: expected "int", got "str" fun_p(C()) # OK [builtins fixtures/list.pyi] [case testImplicitTypesInProtocols] from typing import Protocol class P(Protocol): x = 1 # E: All protocol members must have explicitly declared types class C: x: int class D: x: str x: P x = D() # E: Incompatible types in assignment (expression has type "D", variable has type "P") \ # N: Following member(s) of "D" have conflicts: \ # N: x: expected "int", got "str" x = C() # OK [builtins fixtures/list.pyi] [case testProtocolIncompatibilityWithGenericMethod] from typing import Protocol, TypeVar T = TypeVar('T') S = TypeVar('S') class A(Protocol): def f(self, x: T) -> None: pass class B: def f(self, x: S, y: T) -> None: pass x: A = B() [out] main:11: error: Incompatible types in assignment (expression has type "B", variable has type "A") main:11: note: Following member(s) of "B" have conflicts: main:11: note: Expected: main:11: note: def [T] f(self, x: T) -> None main:11: note: Got: main:11: note: def [S, T] f(self, x: S, y: T) -> None [case testProtocolIncompatibilityWithGenericMethodBounded] from typing import Protocol, TypeVar T = TypeVar('T') S = TypeVar('S', bound=int) class A(Protocol): def f(self, x: T) -> None: pass class B: def f(self, x: S, y: T) -> None: pass x: A = B() [out] main:11: error: Incompatible types in assignment (expression has type "B", variable has type "A") main:11: note: Following member(s) of "B" have conflicts: main:11: note: Expected: main:11: note: def [T] f(self, x: T) -> None main:11: note: Got: main:11: note: def [S: int, T] f(self, x: S, y: T) -> None [case testProtocolIncompatibilityWithGenericRestricted] from typing import Protocol, TypeVar T = TypeVar('T') S = TypeVar('S', int, str) class A(Protocol): def f(self, x: T) -> None: pass class B: def f(self, x: S, y: T) -> None: pass x: A = B() [out] main:11: error: Incompatible types in assignment (expression has type "B", variable has type "A") main:11: note: Following member(s) of "B" have conflicts: main:11: note: Expected: main:11: note: def [T] f(self, x: T) -> None main:11: note: Got: main:11: note: def [S: (int, str), T] f(self, x: S, y: T) -> None [case testProtocolIncompatibilityWithManyOverloads] from typing import Protocol, overload class C1: pass class C2: pass class A(Protocol): @overload def f(self, x: int) -> int: pass @overload def f(self, x: str) -> str: pass @overload def f(self, x: C1) -> C2: pass @overload def f(self, x: C2) -> C1: pass class B: def f(self) -> None: pass x: A = B() [out] main:18: error: Incompatible types in assignment (expression has type "B", variable has type "A") main:18: note: Following member(s) of "B" have conflicts: main:18: note: Expected: main:18: note: @overload main:18: note: def f(self, x: int) -> int main:18: note: @overload main:18: note: def f(self, x: str) -> str main:18: note: @overload main:18: note: def f(self, x: C1) -> C2 main:18: note: @overload main:18: note: def f(self, x: C2) -> C1 main:18: note: Got: main:18: note: def f(self) -> None [case testProtocolIncompatibilityWithManyConflicts] from typing import Protocol class A(Protocol): def f(self, x: int) -> None: pass def g(self, x: int) -> None: pass def h(self, x: int) -> None: pass def i(self, x: int) -> None: pass class B: def f(self, x: str) -> None: pass def g(self, x: str) -> None: pass def h(self, x: str) -> None: pass def i(self, x: str) -> None: pass x: A = B() [out] main:14: error: Incompatible types in assignment (expression has type "B", variable has type "A") main:14: note: Following member(s) of "B" have conflicts: main:14: note: Expected: main:14: note: def f(self, x: int) -> None main:14: note: Got: main:14: note: def f(self, x: str) -> None main:14: note: Expected: main:14: note: def g(self, x: int) -> None main:14: note: Got: main:14: note: def g(self, x: str) -> None main:14: note: <2 more conflict(s) not shown> [case testProtocolIncompatibilityWithUnionType] from typing import Any, Optional, Protocol class A(Protocol): def execute(self, statement: Any, *args: Any, **kwargs: Any) -> None: ... class B(Protocol): def execute(self, stmt: Any, *args: Any, **kwargs: Any) -> None: ... def cool(self) -> None: ... def func1(arg: A) -> None: ... def func2(arg: Optional[A]) -> None: ... x: B func1(x) func2(x) [builtins fixtures/dict.pyi] [out] main:14: error: Argument 1 to "func1" has incompatible type "B"; expected "A" main:14: note: Following member(s) of "B" have conflicts: main:14: note: Expected: main:14: note: def execute(self, statement: Any, *args: Any, **kwargs: Any) -> None main:14: note: Got: main:14: note: def execute(self, stmt: Any, *args: Any, **kwargs: Any) -> None main:15: error: Argument 1 to "func2" has incompatible type "B"; expected "Optional[A]" main:15: note: Following member(s) of "B" have conflicts: main:15: note: Expected: main:15: note: def execute(self, statement: Any, *args: Any, **kwargs: Any) -> None main:15: note: Got: main:15: note: def execute(self, stmt: Any, *args: Any, **kwargs: Any) -> None [case testDontShowNotesForTupleAndIterableProtocol] from typing import Iterable, Sequence, Protocol, NamedTuple class N(NamedTuple): x: int def f1(x: Iterable[str]) -> None: pass def f2(x: Sequence[str]) -> None: pass # The errors below should be short f1(N(1)) # E: Argument 1 to "f1" has incompatible type "N"; expected "Iterable[str]" f2(N(2)) # E: Argument 1 to "f2" has incompatible type "N"; expected "Sequence[str]" [builtins fixtures/tuple.pyi] [case testNotManyFlagConflitsShownInProtocols] from typing import Protocol class AllSettable(Protocol): a: int b: int c: int d: int class AllReadOnly: @property def a(self) -> int: pass @property def b(self) -> int: pass @property def c(self) -> int: pass @property def d(self) -> int: pass x: AllSettable = AllReadOnly() [builtins fixtures/property.pyi] [out] main:19: error: Incompatible types in assignment (expression has type "AllReadOnly", variable has type "AllSettable") main:19: note: Protocol member AllSettable.a expected settable variable, got read-only attribute main:19: note: Protocol member AllSettable.b expected settable variable, got read-only attribute main:19: note: <2 more conflict(s) not shown> [case testProtocolsMoreConflictsNotShown] from typing import Generic, Protocol, TypeVar T = TypeVar('T') class MockMapping(Protocol[T]): def a(self, x: T) -> int: pass def b(self, x: T) -> int: pass def c(self, x: T) -> int: pass d: T e: T f: T class MockDict(MockMapping[T]): more: int def f(x: MockMapping[int]) -> None: pass x: MockDict[str] f(x) # E: Argument 1 to "f" has incompatible type "MockDict[str]"; expected "MockMapping[int]" [builtins fixtures/tuple.pyi] [case testProtocolNotesForComplexSignatures] from typing import Protocol, Optional class P(Protocol): def meth(self, x: int, *args: str) -> None: pass def other(self, *args, hint: Optional[str] = None, **kwargs: str) -> None: pass class C: def meth(self) -> int: pass def other(self) -> int: pass x: P = C() [builtins fixtures/dict.pyi] [out] main:10: error: Incompatible types in assignment (expression has type "C", variable has type "P") main:10: note: Following member(s) of "C" have conflicts: main:10: note: Expected: main:10: note: def meth(self, x: int, *args: str) -> None main:10: note: Got: main:10: note: def meth(self) -> int main:10: note: Expected: main:10: note: def other(self, *args: Any, hint: Optional[str] = ..., **kwargs: str) -> None main:10: note: Got: main:10: note: def other(self) -> int [case testObjectAllowedInProtocolBases] from typing import Protocol class P(Protocol, object): pass [out] [case testNoneSubtypeOfEmptyProtocol] from typing import Protocol class P(Protocol): pass x: P = None [out] [case testNoneSubtypeOfAllProtocolsWithoutStrictOptional] # flags: --no-strict-optional from typing import Protocol class P(Protocol): attr: int def meth(self, arg: str) -> str: pass x: P = None [out] [case testNoneSubtypeOfEmptyProtocolStrict] from typing import Protocol class P(Protocol): pass x: P = None class PBad(Protocol): x: int y: PBad = None # E: Incompatible types in assignment (expression has type "None", variable has type "PBad") [out] [case testOnlyMethodProtocolUsableWithIsSubclass] from typing import Protocol, runtime_checkable, Union, Type, Sequence, overload @runtime_checkable class P(Protocol): def meth(self) -> int: pass @runtime_checkable class PBad(Protocol): x: str class C: x: str def meth(self) -> int: pass class E: pass cls: Type[Union[C, E]] issubclass(cls, PBad) # E: Only protocols that don't have non-method members can be used with issubclass() \ # N: Protocol "PBad" has non-method member(s): x if issubclass(cls, P): reveal_type(cls) # N: Revealed type is "type[__main__.C]" else: reveal_type(cls) # N: Revealed type is "type[__main__.E]" @runtime_checkable class POverload(Protocol): @overload def meth(self, a: int) -> float: ... @overload def meth(self, a: str) -> Sequence[float]: ... def meth(self, a): pass reveal_type(issubclass(int, POverload)) # N: Revealed type is "builtins.bool" [builtins fixtures/isinstance.pyi] [typing fixtures/typing-full.pyi] [out] [case testCallableImplementsProtocol] from typing import Protocol class Caller(Protocol): def __call__(self, x: str, *args: int) -> None: ... def call(x: str, *args: int) -> None: pass def bad(x: int, *args: str) -> None: pass def func(caller: Caller) -> None: pass func(call) func(bad) # E: Argument 1 to "func" has incompatible type "def bad(x: int, *args: str) -> None"; expected "Caller" \ # N: "Caller.__call__" has type "def __call__(self, x: str, *args: int) -> None" [builtins fixtures/tuple.pyi] [out] [case testCallableImplementsProtocolGeneric] from typing import Protocol, TypeVar, Tuple T = TypeVar('T') S = TypeVar('S') class Caller(Protocol[T, S]): def __call__(self, x: T, y: S) -> Tuple[T, S]: ... def call(x: int, y: str) -> Tuple[int, str]: ... def func(caller: Caller[T, S]) -> Tuple[T, S]: pass reveal_type(func(call)) # N: Revealed type is "tuple[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [out] [case testCallableImplementsProtocolGenericTight] from typing import Protocol, TypeVar T = TypeVar('T') class Caller(Protocol): def __call__(self, x: T) -> T: ... def call(x: T) -> T: ... def bad(x: int) -> int: ... def func(caller: Caller) -> None: pass func(call) func(bad) # E: Argument 1 to "func" has incompatible type "Callable[[int], int]"; expected "Caller" \ # N: "Caller.__call__" has type "def [T] __call__(self, x: T) -> T" [builtins fixtures/tuple.pyi] [out] [case testCallableImplementsProtocolGenericNotGeneric] from typing import Protocol, TypeVar, Tuple T = TypeVar('T') class Caller(Protocol): def __call__(self, x: int) -> int: ... def call(x: T) -> T: ... def bad(x: T) -> Tuple[T, T]: ... def func(caller: Caller) -> None: pass func(call) func(bad) # E: Argument 1 to "func" has incompatible type "Callable[[T], tuple[T, T]]"; expected "Caller" \ # N: "Caller.__call__" has type "def __call__(self, x: int) -> int" [builtins fixtures/tuple.pyi] [out] [case testCallableImplementsProtocolOverload] from typing import Protocol, overload, Union class Caller(Protocol): @overload def __call__(self, x: int) -> int: ... @overload def __call__(self, x: str) -> str: ... @overload def call(x: int) -> int: ... @overload def call(x: str) -> str: ... def call(x: Union[int, str]) -> Union[int, str]: pass def bad(x: Union[int, str]) -> Union[int, str]: pass def func(caller: Caller) -> None: pass func(call) func(bad) # E: Argument 1 to "func" has incompatible type "Callable[[Union[int, str]], Union[int, str]]"; expected "Caller" \ # N: "Caller.__call__" has type overloaded function [out] [case testCallableImplementsProtocolExtraNote] from typing import Protocol class Caller(Protocol): def __call__(self, x: str, *args: int) -> None: ... def bad(x: int, *args: str) -> None: pass cb: Caller = bad # E: Incompatible types in assignment (expression has type "def bad(x: int, *args: str) -> None", variable has type "Caller") \ # N: "Caller.__call__" has type "def __call__(self, x: str, *args: int) -> None" [builtins fixtures/tuple.pyi] [out] [case testCallableImplementsProtocolArgName] from typing import Protocol class Caller(Protocol): def __call__(self, x: str) -> None: ... class CallerAnon(Protocol): def __call__(self, __x: str) -> None: ... def call(x: str) -> None: pass def bad(y: str) -> None: pass def func(caller: Caller) -> None: pass def anon(caller: CallerAnon) -> None: pass func(call) func(bad) # E: Argument 1 to "func" has incompatible type "Callable[[str], None]"; expected "Caller" \ # N: "Caller.__call__" has type "def __call__(self, x: str) -> None" anon(bad) [out] [case testCallableProtocolVsProtocol] from typing import Protocol class One(Protocol): def __call__(self, x: str) -> None: ... class Other(Protocol): def __call__(self, x: str) -> None: ... class Bad(Protocol): def __call__(self, zzz: str) -> None: ... def func(caller: One) -> None: pass a: Other b: Bad func(a) func(b) # E: Argument 1 to "func" has incompatible type "Bad"; expected "One" \ # N: "One.__call__" has type "def __call__(self, x: str) -> None" [out] [case testJoinProtocolCallback] from typing import Protocol, Callable class A: ... class B(A): ... class C(B): ... class D(B): ... class Call(Protocol): def __call__(self, x: B) -> C: ... Normal = Callable[[A], D] a: Call b: Normal reveal_type([a, b]) # N: Revealed type is "builtins.list[def (__main__.B) -> __main__.B]" reveal_type([b, a]) # N: Revealed type is "builtins.list[def (__main__.B) -> __main__.B]" [builtins fixtures/list.pyi] [out] [case testMeetProtocolCallback] from typing import Protocol, Callable class A: ... class B(A): ... class C(B): ... class D(B): ... class Call(Protocol): def __call__(self, __x: C) -> B: ... Normal = Callable[[D], A] def a(x: Call) -> None: ... def b(x: Normal) -> None: ... reveal_type([a, b]) # N: Revealed type is "builtins.list[def (x: def (__main__.B) -> __main__.B)]" reveal_type([b, a]) # N: Revealed type is "builtins.list[def (x: def (__main__.B) -> __main__.B)]" [builtins fixtures/list.pyi] [out] [case testCallbackProtocolFunctionAttributesSubtyping] from typing import Protocol class A(Protocol): __name__: str def __call__(self) -> str: ... class B1(Protocol): __name__: int def __call__(self) -> str: ... class B2(Protocol): __name__: str def __call__(self) -> int: ... class B3(Protocol): __name__: str extra_stuff: int def __call__(self) -> str: ... def f() -> str: ... reveal_type(f.__name__) # N: Revealed type is "builtins.str" a: A = f # OK b1: B1 = f # E: Incompatible types in assignment (expression has type "Callable[[], str]", variable has type "B1") \ # N: Following member(s) of "function" have conflicts: \ # N: __name__: expected "int", got "str" b2: B2 = f # E: Incompatible types in assignment (expression has type "Callable[[], str]", variable has type "B2") \ # N: "B2.__call__" has type "Callable[[], int]" b3: B3 = f # E: Incompatible types in assignment (expression has type "Callable[[], str]", variable has type "B3") \ # N: "function" is missing following "B3" protocol member: \ # N: extra_stuff [case testCallbackProtocolFunctionAttributesInference] from typing import Protocol, TypeVar, Generic, Tuple T = TypeVar("T") S = TypeVar("S", covariant=True) class A(Protocol[T, S]): __name__: T def __call__(self) -> S: ... def f() -> int: ... def test(func: A[T, S]) -> Tuple[T, S]: ... reveal_type(test(f)) # N: Revealed type is "tuple[builtins.str, builtins.int]" [builtins fixtures/tuple.pyi] [case testProtocolsAlwaysABCs] from typing import Protocol class P(Protocol): ... class C(P): ... reveal_type(C.register(int)) # N: Revealed type is "def () -> builtins.int" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [out] [case testProtocolVarianceAfterDecorators] # The test case is simplified, in reality this caused problems with @abstractmethod # in stubs and test fixtures. from typing import Protocol, TypeVar T = TypeVar('T') def dec(x: T) -> T: ... alias = dec class P(Protocol[T]): @alias def meth(self, arg: T) -> T: ... [out] [case testNamedTupleWithNoArgsCallableField] from typing import Callable, NamedTuple, Protocol class N(NamedTuple): func: Callable[[], str] class P(Protocol): @property def func(self) -> Callable[[], str]: ... p: P = N(lambda: 'foo') [builtins fixtures/property.pyi] [case testNamedTupleWithManyArgsCallableField] from typing import Callable, NamedTuple, Protocol class N(NamedTuple): func: Callable[[str, str, str], str] class P(Protocol): @property def func(self) -> Callable[[str, str, str], str]: ... p: P = N(lambda a, b, c: 'foo') [builtins fixtures/property.pyi] [case testLiteralsAgainstProtocols] from typing import Final, Literal, SupportsInt, SupportsAbs, TypeVar T = TypeVar('T') def abs(x: SupportsAbs[T]) -> T: ... def foo(x: SupportsInt) -> None: ... ONE: Final = 1 TWO: Literal[2] ALL: Literal[1, 2, 3] foo(ONE) foo(TWO) foo(3) reveal_type(abs(ONE)) # N: Revealed type is "builtins.int" reveal_type(abs(TWO)) # N: Revealed type is "builtins.int" reveal_type(abs(3)) # N: Revealed type is "builtins.int" reveal_type(abs(ALL)) # N: Revealed type is "builtins.int" [builtins fixtures/float.pyi] [typing fixtures/typing-full.pyi] [case testProtocolWithSlots] from typing import Protocol class A(Protocol): __slots__ = () [builtins fixtures/tuple.pyi] [case testProtocolSlotsIsNotProtocolMember] # https://github.com/python/mypy/issues/11884 from typing import Protocol class Foo(Protocol): __slots__ = () class NoSlots: pass class EmptySlots: __slots__ = () class TupleSlots: __slots__ = ('x', 'y') class StringSlots: __slots__ = 'x y' class InitSlots: __slots__ = ('x',) def __init__(self) -> None: self.x = None def foo(f: Foo): pass # All should pass: foo(NoSlots()) foo(EmptySlots()) foo(TupleSlots()) foo(StringSlots()) foo(InitSlots()) [builtins fixtures/tuple.pyi] [case testProtocolSlotsAndRuntimeCheckable] from typing import Protocol, runtime_checkable @runtime_checkable class Foo(Protocol): __slots__ = () class Bar: pass issubclass(Bar, Foo) # Used to be an error, when `__slots__` counted as a protocol member [builtins fixtures/isinstance.pyi] [typing fixtures/typing-full.pyi] [case testProtocolWithClassGetItem] # https://github.com/python/mypy/issues/11886 from typing import Any, Iterable, Protocol, Union class B: ... class C: def __class_getitem__(cls, __item: Any) -> Any: ... class SupportsClassGetItem(Protocol): __slots__: Union[str, Iterable[str]] = () def __class_getitem__(cls, __item: Any) -> Any: ... b1: SupportsClassGetItem = B() c1: SupportsClassGetItem = C() [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testNoneVsProtocol] # mypy: strict-optional from typing import Protocol class MyHashable(Protocol): def __hash__(self) -> int: ... def f(h: MyHashable) -> None: pass f(None) class Proto(Protocol): def __hash__(self) -> int: ... def method(self) -> None: ... def g(h: Proto) -> None: pass g(None) # E: Argument 1 to "g" has incompatible type "None"; expected "Proto" class Proto2(Protocol): def hash(self) -> None: ... def h(h: Proto2) -> None: pass h(None) # E: Argument 1 to "h" has incompatible type "None"; expected "Proto2" class EmptyProto(Protocol): ... def hh(h: EmptyProto) -> None: pass hh(None) # See https://github.com/python/mypy/issues/13081 class SupportsStr(Protocol): def __str__(self) -> str: ... def ss(s: SupportsStr) -> None: pass ss(None) class HashableStr(Protocol): def __str__(self) -> str: ... def __hash__(self) -> int: ... def hs(n: HashableStr) -> None: pass hs(None) [builtins fixtures/tuple.pyi] [case testPartialTypeProtocol] # flags: --no-local-partial-types from typing import Protocol class Flapper(Protocol): def flap(self) -> int: ... class Blooper: flap = None def bloop(self, x: Flapper) -> None: reveal_type([self, x]) # N: Revealed type is "builtins.list[builtins.object]" class Gleemer: flap = [] # E: Need type annotation for "flap" (hint: "flap: list[] = ...") def gleem(self, x: Flapper) -> None: reveal_type([self, x]) # N: Revealed type is "builtins.list[builtins.object]" [builtins fixtures/tuple.pyi] [case testPartialTypeProtocolHashable] # flags: --no-strict-optional from typing import Protocol class Hashable(Protocol): def __hash__(self) -> int: ... class ObjectHashable: def __hash__(self) -> int: ... class DataArray(ObjectHashable): __hash__ = None def f(self, x: Hashable) -> None: reveal_type([self, x]) # N: Revealed type is "builtins.list[builtins.object]" [builtins fixtures/tuple.pyi] [case testPartialAttributeNoneType] # flags: --no-strict-optional --no-local-partial-types from typing import Optional, Protocol, runtime_checkable @runtime_checkable class MyProtocol(Protocol): def is_valid(self) -> bool: ... text: Optional[str] class MyClass: text = None def is_valid(self) -> bool: reveal_type(self.text) # N: Revealed type is "None" assert isinstance(self, MyProtocol) [builtins fixtures/isinstance.pyi] [typing fixtures/typing-full.pyi] [case testPartialAttributeNoneTypeStrictOptional] # flags: --no-local-partial-types from typing import Optional, Protocol, runtime_checkable @runtime_checkable class MyProtocol(Protocol): def is_valid(self) -> bool: ... text: Optional[str] class MyClass: text = None def is_valid(self) -> bool: reveal_type(self.text) # N: Revealed type is "None" assert isinstance(self, MyProtocol) [builtins fixtures/isinstance.pyi] [typing fixtures/typing-full.pyi] [case testProtocolAndTypeVariableSpecialCase] from typing import TypeVar, Iterable, Optional, Callable, Protocol T_co = TypeVar('T_co', covariant=True) class SupportsNext(Protocol[T_co]): def __next__(self) -> T_co: ... N = TypeVar("N", bound=SupportsNext, covariant=True) class SupportsIter(Protocol[T_co]): def __iter__(self) -> T_co: ... def f(i: SupportsIter[N]) -> N: ... I = TypeVar('I', bound=Iterable) def g(x: I, y: Iterable) -> None: f(x) f(y) [case testMatchProtocolAgainstOverloadWithAmbiguity] from typing import TypeVar, Protocol, Union, Generic, overload T = TypeVar("T", covariant=True) class slice: pass class GetItem(Protocol[T]): def __getitem__(self, k: int) -> T: ... class Str: # Resembles 'str' def __getitem__(self, k: Union[int, slice]) -> Str: ... class Lst(Generic[T]): # Resembles 'list' def __init__(self, x: T): ... @overload def __getitem__(self, k: int) -> T: ... @overload def __getitem__(self, k: slice) -> Lst[T]: ... def __getitem__(self, k): pass def f(x: GetItem[GetItem[Str]]) -> None: ... a: Lst[Str] f(Lst(a)) class Lst2(Generic[T]): def __init__(self, x: T): ... # The overload items are tweaked but still compatible @overload def __getitem__(self, k: Str) -> None: ... @overload def __getitem__(self, k: slice) -> Lst2[T]: ... @overload def __getitem__(self, k: Union[int, str]) -> T: ... def __getitem__(self, k): pass b: Lst2[Str] f(Lst2(b)) class Lst3(Generic[T]): # Resembles 'list' def __init__(self, x: T): ... # The overload items are no longer compatible (too narrow argument type) @overload def __getitem__(self, k: slice) -> Lst3[T]: ... @overload def __getitem__(self, k: bool) -> T: ... def __getitem__(self, k): pass c: Lst3[Str] f(Lst3(c)) # E: Argument 1 to "f" has incompatible type "Lst3[Lst3[Str]]"; expected "GetItem[GetItem[Str]]" \ # N: Following member(s) of "Lst3[Lst3[Str]]" have conflicts: \ # N: Expected: \ # N: def __getitem__(self, int, /) -> GetItem[Str] \ # N: Got: \ # N: @overload \ # N: def __getitem__(self, slice, /) -> Lst3[Lst3[Str]] \ # N: @overload \ # N: def __getitem__(self, bool, /) -> Lst3[Str] [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [case testMatchProtocolAgainstOverloadWithMultipleMatchingItems] from typing import Protocol, overload, TypeVar, Any _T_co = TypeVar("_T_co", covariant=True) _T = TypeVar("_T") class SupportsRound(Protocol[_T_co]): @overload def __round__(self) -> int: ... @overload def __round__(self, __ndigits: int) -> _T_co: ... class C: # This matches both overload items of SupportsRound def __round__(self, __ndigits: int = ...) -> int: ... def round(number: SupportsRound[_T], ndigits: int) -> _T: ... round(C(), 1) [case testEmptyBodyImplicitlyAbstractProtocol] from typing import Protocol, overload, Union class P1(Protocol): def meth(self) -> int: ... class B1(P1): ... class C1(P1): def meth(self) -> int: return 0 B1() # E: Cannot instantiate abstract class "B1" with abstract attribute "meth" C1() class P2(Protocol): @classmethod def meth(cls) -> int: ... class B2(P2): ... class C2(P2): @classmethod def meth(cls) -> int: return 0 B2() # E: Cannot instantiate abstract class "B2" with abstract attribute "meth" C2() class P3(Protocol): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... @overload def not_abstract(self, x: int) -> int: ... @overload def not_abstract(self, x: str) -> str: ... def not_abstract(self, x: Union[int, str]) -> Union[int, str]: return 0 class B3(P3): ... class C3(P3): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... def meth(self, x: Union[int, str]) -> Union[int, str]: return 0 B3() # E: Cannot instantiate abstract class "B3" with abstract attribute "meth" C3() [builtins fixtures/classmethod.pyi] [case testEmptyBodyImplicitlyAbstractProtocolProperty] from typing import Protocol class P1(Protocol): @property def attr(self) -> int: ... class B1(P1): ... class C1(P1): @property def attr(self) -> int: return 0 B1() # E: Cannot instantiate abstract class "B1" with abstract attribute "attr" C1() class P2(Protocol): @property def attr(self) -> int: ... @attr.setter def attr(self, value: int) -> None: ... class B2(P2): ... class C2(P2): @property def attr(self) -> int: return 0 @attr.setter def attr(self, value: int) -> None: pass B2() # E: Cannot instantiate abstract class "B2" with abstract attribute "attr" C2() [builtins fixtures/property.pyi] [case testEmptyBodyImplicitlyAbstractProtocolStub] from stub import P1, P2, P3, P4 class B1(P1): ... class B2(P2): ... class B3(P3): ... class B4(P4): ... B1() B2() B3() B4() # E: Cannot instantiate abstract class "B4" with abstract attribute "meth" [file stub.pyi] from typing import Protocol, overload, Union from abc import abstractmethod class P1(Protocol): def meth(self) -> int: ... class P2(Protocol): @classmethod def meth(cls) -> int: ... class P3(Protocol): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... class P4(Protocol): @abstractmethod def meth(self) -> int: ... [builtins fixtures/classmethod.pyi] [case testEmptyBodyVariationsImplicitlyAbstractProtocol] from typing import Protocol class WithPass(Protocol): def meth(self) -> int: pass class A(WithPass): ... A() # E: Cannot instantiate abstract class "A" with abstract attribute "meth" class WithEllipses(Protocol): def meth(self) -> int: ... class B(WithEllipses): ... B() # E: Cannot instantiate abstract class "B" with abstract attribute "meth" class WithDocstring(Protocol): def meth(self) -> int: """Docstring for meth. This is meth.""" class C(WithDocstring): ... C() # E: Cannot instantiate abstract class "C" with abstract attribute "meth" class WithRaise(Protocol): def meth(self) -> int: """Docstring for meth.""" raise NotImplementedError class D(WithRaise): ... D() # E: Cannot instantiate abstract class "D" with abstract attribute "meth" [builtins fixtures/exception.pyi] [case testEmptyBodyNoneCompatibleProtocol] from abc import abstractmethod from typing import Any, Optional, Protocol, Union, overload from typing_extensions import TypeAlias NoneAlias: TypeAlias = None class NoneCompatible(Protocol): def f(self) -> None: ... def g(self) -> Any: ... def h(self) -> Optional[int]: ... def i(self) -> NoneAlias: ... @classmethod def j(cls) -> None: ... class A(NoneCompatible): ... A() # E: Cannot instantiate abstract class "A" with abstract attributes "f", "g", "h", "i" and "j" \ # N: The following methods were marked implicitly abstract because they have empty function bodies: "f", "g", "h", "i" and "j". If they are not meant to be abstract, explicitly `return` or `return None`. class NoneCompatible2(Protocol): def f(self, x: int): ... class B(NoneCompatible2): ... B() # E: Cannot instantiate abstract class "B" with abstract attribute "f" \ # N: "f" is implicitly abstract because it has an empty function body. If it is not meant to be abstract, explicitly `return` or `return None`. class NoneCompatible3(Protocol): @abstractmethod def f(self) -> None: ... @overload def g(self, x: int) -> int: ... @overload def g(self, x: str) -> None: ... def h(self, x): ... class C(NoneCompatible3): ... C() # E: Cannot instantiate abstract class "C" with abstract attributes "f", "g" and "h" [builtins fixtures/classmethod.pyi] [case testEmptyBodyWithFinal] from typing import Protocol, final class P(Protocol): @final # E: Protocol member cannot be final def f(self, x: int) -> str: ... class A(P): ... A() # E: Cannot instantiate abstract class "A" with abstract attribute "f" [case testProtocolWithNestedClass] from typing import TypeVar, Protocol class Template(Protocol): var: int class Meta: ... class B: var: int class Meta: ... class C: var: int class Meta(Template.Meta): ... def foo(t: Template) -> None: ... foo(B()) # E: Argument 1 to "foo" has incompatible type "B"; expected "Template" \ # N: Following member(s) of "B" have conflicts: \ # N: Meta: expected "type[__main__.Template.Meta]", got "type[__main__.B.Meta]" foo(C()) # OK [case testProtocolClassObjectAttribute] from typing import ClassVar, Protocol class P(Protocol): foo: int class A: foo = 42 class B: foo: ClassVar[int] class C: foo: ClassVar[str] class D: foo: int def test(arg: P) -> None: ... test(A) # OK test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: foo: expected "int", got "str" test(D) # E: Argument 1 to "test" has incompatible type "type[D]"; expected "P" \ # N: Only class variables allowed for class object access on protocols, foo is an instance variable of "D" [case testProtocolClassObjectClassVarRejected] from typing import ClassVar, Protocol class P(Protocol): foo: ClassVar[int] class B: foo: ClassVar[int] def test(arg: P) -> None: ... test(B) # E: Argument 1 to "test" has incompatible type "type[B]"; expected "P" \ # N: ClassVar protocol member P.foo can never be matched by a class object [case testProtocolClassObjectPropertyRejected] from typing import ClassVar, Protocol class P(Protocol): @property def foo(self) -> int: ... class B: @property def foo(self) -> int: ... class C: foo: int class D: foo: ClassVar[int] def test(arg: P) -> None: ... # TODO: skip type mismatch diagnostics in this case. test(B) # E: Argument 1 to "test" has incompatible type "type[B]"; expected "P" \ # N: Following member(s) of "B" have conflicts: \ # N: foo: expected "int", got "Callable[[B], int]" \ # N: Only class variables allowed for class object access on protocols, foo is an instance variable of "B" test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Only class variables allowed for class object access on protocols, foo is an instance variable of "C" test(D) # OK [builtins fixtures/property.pyi] [case testProtocolClassObjectInstanceMethod] from typing import Any, Protocol class P(Protocol): def foo(self, obj: Any) -> int: ... class B: def foo(self) -> int: ... class C: def foo(self) -> str: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo(obj: Any) -> int \ # N: Got: \ # N: def foo(self: C) -> str [case testProtocolClassObjectInstanceMethodArg] from typing import Any, Protocol class P(Protocol): def foo(self, obj: B) -> int: ... class B: def foo(self) -> int: ... class C: def foo(self) -> int: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo(obj: B) -> int \ # N: Got: \ # N: def foo(self: C) -> int [case testProtocolClassObjectInstanceMethodOverloaded] from typing import Any, Protocol, overload class P(Protocol): @overload def foo(self, obj: Any, arg: int) -> int: ... @overload def foo(self, obj: Any, arg: str) -> str: ... class B: @overload def foo(self, arg: int) -> int: ... @overload def foo(self, arg: str) -> str: ... def foo(self, arg: Any) -> Any: ... class C: @overload def foo(self, arg: int) -> int: ... @overload def foo(self, arg: str) -> int: ... def foo(self, arg: Any) -> Any: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: @overload \ # N: def foo(obj: Any, arg: int) -> int \ # N: @overload \ # N: def foo(obj: Any, arg: str) -> str \ # N: Got: \ # N: @overload \ # N: def foo(self: C, arg: int) -> int \ # N: @overload \ # N: def foo(self: C, arg: str) -> int [case testProtocolClassObjectClassMethod] from typing import Protocol class P(Protocol): def foo(self) -> int: ... class B: @classmethod def foo(cls) -> int: ... class C: @classmethod def foo(cls) -> str: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo() -> int \ # N: Got: \ # N: def foo() -> str [builtins fixtures/classmethod.pyi] [case testProtocolClassObjectStaticMethod] from typing import Protocol class P(Protocol): def foo(self) -> int: ... class B: @staticmethod def foo() -> int: ... class C: @staticmethod def foo() -> str: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo() -> int \ # N: Got: \ # N: def foo() -> str [builtins fixtures/staticmethod.pyi] [case testProtocolClassObjectGenericInstanceMethod] from typing import Any, Protocol, Generic, List, TypeVar class P(Protocol): def foo(self, obj: Any) -> List[int]: ... T = TypeVar("T") class A(Generic[T]): def foo(self) -> T: ... class AA(A[List[T]]): ... class B(AA[int]): ... class C(AA[str]): ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo(obj: Any) -> list[int] \ # N: Got: \ # N: def foo(self: A[list[str]]) -> list[str] [builtins fixtures/list.pyi] [case testProtocolClassObjectGenericClassMethod] from typing import Any, Protocol, Generic, List, TypeVar class P(Protocol): def foo(self) -> List[int]: ... T = TypeVar("T") class A(Generic[T]): @classmethod def foo(self) -> T: ... class AA(A[List[T]]): ... class B(AA[int]): ... class C(AA[str]): ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo() -> list[int] \ # N: Got: \ # N: def foo() -> list[str] [builtins fixtures/isinstancelist.pyi] [case testProtocolClassObjectSelfTypeInstanceMethod] from typing import Protocol, TypeVar, Union T = TypeVar("T") class P(Protocol): def foo(self, arg: T) -> T: ... class B: def foo(self: T) -> T: ... class C: def foo(self: T) -> Union[T, int]: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def [T] foo(arg: T) -> T \ # N: Got: \ # N: def [T] foo(self: T) -> Union[T, int] [case testProtocolClassObjectSelfTypeClassMethod] from typing import Protocol, Type, TypeVar T = TypeVar("T") class P(Protocol): def foo(self) -> B: ... class B: @classmethod def foo(cls: Type[T]) -> T: ... class C: @classmethod def foo(cls: Type[T]) -> T: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo() -> B \ # N: Got: \ # N: def foo() -> C [builtins fixtures/classmethod.pyi] [case testProtocolClassObjectAttributeAndCall] from typing import Any, ClassVar, Protocol class P(Protocol): foo: int def __call__(self, x: int, y: int) -> Any: ... class B: foo: ClassVar[int] def __init__(self, x: int, y: int) -> None: ... class C: foo: ClassVar[int] def __init__(self, x: int, y: str) -> None: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: "C" has constructor incompatible with "__call__" of "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def __call__(x: int, y: int) -> Any \ # N: Got: \ # N: def __init__(x: int, y: str) -> C \ # N: "P.__call__" has type "def __call__(self, x: int, y: int) -> Any" [case testProtocolClassObjectPureCallback] from typing import Any, ClassVar, Protocol class P(Protocol): def __call__(self, x: int, y: int) -> Any: ... class B: def __init__(self, x: int, y: int) -> None: ... class C: def __init__(self, x: int, y: str) -> None: ... def test(arg: P) -> None: ... test(B) # OK test(C) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: "C" has constructor incompatible with "__call__" of "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def __call__(x: int, y: int) -> Any \ # N: Got: \ # N: def __init__(x: int, y: str) -> C \ # N: "P.__call__" has type "def __call__(self, x: int, y: int) -> Any" [builtins fixtures/type.pyi] [case testProtocolClassObjectCallableError] from typing import Protocol, Any, Callable class P(Protocol): def __call__(self, app: int) -> Callable[[str], None]: ... class C: def __init__(self, app: str) -> None: pass def __call__(self, el: str) -> None: return None p: P = C # E: Incompatible types in assignment (expression has type "type[C]", variable has type "P") \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def __call__(app: int) -> Callable[[str], None] \ # N: Got: \ # N: def __init__(app: str) -> C \ # N: "P.__call__" has type "def __call__(self, app: int) -> Callable[[str], None]" [builtins fixtures/type.pyi] [case testProtocolTypeTypeAttribute] from typing import ClassVar, Protocol, Type class P(Protocol): foo: int class A: foo = 42 class B: foo: ClassVar[int] class C: foo: ClassVar[str] class D: foo: int def test(arg: P) -> None: ... a: Type[A] b: Type[B] c: Type[C] d: Type[D] test(a) # OK test(b) # OK test(c) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: foo: expected "int", got "str" test(d) # E: Argument 1 to "test" has incompatible type "type[D]"; expected "P" \ # N: Only class variables allowed for class object access on protocols, foo is an instance variable of "D" [case testProtocolTypeTypeInstanceMethod] from typing import Any, Protocol, Type class P(Protocol): def foo(self, cls: Any) -> int: ... class B: def foo(self) -> int: ... class C: def foo(self) -> str: ... def test(arg: P) -> None: ... b: Type[B] c: Type[C] test(b) # OK test(c) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo(cls: Any) -> int \ # N: Got: \ # N: def foo(self: C) -> str [case testProtocolTypeTypeClassMethod] from typing import Protocol, Type class P(Protocol): def foo(self) -> int: ... class B: @classmethod def foo(cls) -> int: ... class C: @classmethod def foo(cls) -> str: ... def test(arg: P) -> None: ... b: Type[B] c: Type[C] test(b) # OK test(c) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def foo() -> int \ # N: Got: \ # N: def foo() -> str [builtins fixtures/classmethod.pyi] [case testProtocolTypeTypeSelfTypeInstanceMethod] from typing import Protocol, Type, TypeVar, Union T = TypeVar("T") class P(Protocol): def foo(self, arg: T) -> T: ... class B: def foo(self: T) -> T: ... class C: def foo(self: T) -> Union[T, int]: ... def test(arg: P) -> None: ... b: Type[B] c: Type[C] test(b) # OK test(c) # E: Argument 1 to "test" has incompatible type "type[C]"; expected "P" \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def [T] foo(arg: T) -> T \ # N: Got: \ # N: def [T] foo(self: T) -> Union[T, int] [case testProtocolClassObjectInference] from typing import Any, Protocol, TypeVar T = TypeVar("T", contravariant=True) class P(Protocol[T]): def foo(self, obj: T) -> int: ... class B: def foo(self) -> int: ... S = TypeVar("S") def test(arg: P[S]) -> S: ... reveal_type(test(B)) # N: Revealed type is "__main__.B" [case testProtocolTypeTypeInference] from typing import Any, Protocol, TypeVar, Type T = TypeVar("T", contravariant=True) class P(Protocol[T]): def foo(self, obj: T) -> int: ... class B: def foo(self) -> int: ... S = TypeVar("S") def test(arg: P[S]) -> S: ... b: Type[B] reveal_type(test(b)) # N: Revealed type is "__main__.B" [case testTypeAliasInProtocolBody] from typing import Protocol, List class P(Protocol): x = List[str] # E: Type aliases are prohibited in protocol bodies \ # N: Use variable annotation syntax to define protocol members class C: x: int def foo(x: P) -> None: ... foo(C()) # No extra error here [builtins fixtures/list.pyi] [case testTypeVarInProtocolBody] from typing import Protocol, TypeVar class C(Protocol): T = TypeVar('T') def __call__(self, t: T) -> T: ... def f_bad(t: int) -> int: return t S = TypeVar("S") def f_good(t: S) -> S: return t g: C = f_bad # E: Incompatible types in assignment (expression has type "Callable[[int], int]", variable has type "C") \ # N: "C.__call__" has type "def [T] __call__(self, t: T) -> T" g = f_good # OK [case testModuleAsProtocolImplementation] import default_config import bad_config_1 import bad_config_2 import bad_config_3 from typing import Protocol class Options(Protocol): timeout: int one_flag: bool other_flag: bool def update(self) -> bool: ... def setup(options: Options) -> None: ... setup(default_config) # OK setup(bad_config_1) # E: Argument 1 to "setup" has incompatible type Module; expected "Options" \ # N: "ModuleType" is missing following "Options" protocol member: \ # N: timeout setup(bad_config_2) # E: Argument 1 to "setup" has incompatible type Module; expected "Options" \ # N: Following member(s) of Module "bad_config_2" have conflicts: \ # N: one_flag: expected "bool", got "int" setup(bad_config_3) # E: Argument 1 to "setup" has incompatible type Module; expected "Options" \ # N: Following member(s) of Module "bad_config_3" have conflicts: \ # N: Expected: \ # N: def update() -> bool \ # N: Got: \ # N: def update(obj: Any) -> bool [file default_config.py] timeout = 100 one_flag = True other_flag = False def update() -> bool: ... [file bad_config_1.py] one_flag = True other_flag = False def update() -> bool: ... [file bad_config_2.py] timeout = 100 one_flag = 42 other_flag = False def update() -> bool: ... [file bad_config_3.py] timeout = 100 one_flag = True other_flag = False def update(obj) -> bool: ... [builtins fixtures/module.pyi] [case testModuleAsProtocolImplementationInference] import default_config from typing import Protocol, TypeVar T = TypeVar("T", covariant=True) class Options(Protocol[T]): timeout: int one_flag: bool other_flag: bool def update(self) -> T: ... def setup(options: Options[T]) -> T: ... reveal_type(setup(default_config)) # N: Revealed type is "builtins.str" [file default_config.py] timeout = 100 one_flag = True other_flag = False def update() -> str: ... [builtins fixtures/module.pyi] [case testModuleAsProtocolImplementationClassObject] import runner import bad_runner from typing import Callable, Protocol class Runner(Protocol): @property def Run(self) -> Callable[[int], Result]: ... class Result(Protocol): value: int def run(x: Runner) -> None: ... run(runner) # OK run(bad_runner) # E: Argument 1 to "run" has incompatible type Module; expected "Runner" \ # N: Following member(s) of Module "bad_runner" have conflicts: \ # N: Expected: \ # N: def (int, /) -> Result \ # N: Got: \ # N: def __init__(arg: str) -> Run [file runner.py] class Run: value: int def __init__(self, arg: int) -> None: ... [file bad_runner.py] class Run: value: int def __init__(self, arg: str) -> None: ... [builtins fixtures/module.pyi] [case testModuleAsProtocolImplementationTypeAlias] import runner import bad_runner from typing import Callable, Protocol class Runner(Protocol): @property def run(self) -> Callable[[int], Result]: ... class Result(Protocol): value: int def run(x: Runner) -> None: ... run(runner) # OK run(bad_runner) # E: Argument 1 to "run" has incompatible type Module; expected "Runner" \ # N: Following member(s) of Module "bad_runner" have conflicts: \ # N: Expected: \ # N: def (int, /) -> Result \ # N: Got: \ # N: def __init__(arg: str) -> Run [file runner.py] class Run: value: int def __init__(self, arg: int) -> None: ... run = Run [file bad_runner.py] class Run: value: int def __init__(self, arg: str) -> None: ... run = Run [builtins fixtures/module.pyi] [case testModuleAsProtocolImplementationClassVar] from typing import ClassVar, Protocol import mod class My(Protocol): x: ClassVar[int] def test(mod: My) -> None: ... test(mod=mod) # E: Argument "mod" to "test" has incompatible type Module; expected "My" \ # N: Protocol member My.x expected class variable, got instance variable [file mod.py] x: int [builtins fixtures/module.pyi] [case testModuleAsProtocolImplementationFinal] from typing import Protocol import some_module class My(Protocol): a: int def func(arg: My) -> None: ... func(some_module) # E: Argument 1 to "func" has incompatible type Module; expected "My" \ # N: Protocol member My.a expected settable variable, got read-only attribute [file some_module.py] from typing import Final a: Final = 1 [builtins fixtures/module.pyi] [case testModuleAsProtocolRedefinitionTopLevel] from typing import Protocol class P(Protocol): def f(self) -> str: ... cond: bool t: P if cond: import mod1 as t else: import mod2 as t import badmod as t # E: Incompatible import of "t" (imported name has type Module, local name has type "P") [file mod1.py] def f() -> str: ... [file mod2.py] def f() -> str: ... [file badmod.py] def nothing() -> int: ... [builtins fixtures/module.pyi] [case testModuleAsProtocolRedefinitionImportFrom] from typing import Protocol class P(Protocol): def f(self) -> str: ... cond: bool t: P if cond: from package import mod1 as t else: from package import mod2 as t from package import badmod as t # E: Incompatible import of "t" (imported name has type Module, local name has type "P") package: int = 10 import package.mod1 as t import package.mod1 # E: Incompatible import of "package" (imported name has type Module, local name has type "int") [file package/mod1.py] def f() -> str: ... [file package/mod2.py] def f() -> str: ... [file package/badmod.py] def nothing() -> int: ... [builtins fixtures/module.pyi] [case testProtocolSelfTypeNewSyntax] from typing import Protocol, Self class P(Protocol): @property def next(self) -> Self: ... class C: next: C class S: next: Self x: P = C() y: P = S() z: P reveal_type(S().next) # N: Revealed type is "__main__.S" reveal_type(z.next) # N: Revealed type is "__main__.P" [builtins fixtures/property.pyi] [case testProtocolSelfTypeNewSyntaxSubProtocol] from typing import Protocol, Self class P(Protocol): @property def next(self) -> Self: ... class PS(P, Protocol): @property def other(self) -> Self: ... class C: next: C other: C class S: next: Self other: Self x: PS = C() y: PS = S() [builtins fixtures/property.pyi] [case testProtocolClassVarSelfType] from typing import ClassVar, Self, Protocol class P(Protocol): DEFAULT: ClassVar[Self] class C: DEFAULT: ClassVar[C] x: P = C() [case testInferenceViaTypeTypeMetaclass] from typing import Iterator, Iterable, TypeVar, Type M = TypeVar("M") class Meta(type): def __iter__(self: Type[M]) -> Iterator[M]: ... class Foo(metaclass=Meta): ... T = TypeVar("T") def test(x: Iterable[T]) -> T: ... reveal_type(test(Foo)) # N: Revealed type is "__main__.Foo" t_foo: Type[Foo] reveal_type(test(t_foo)) # N: Revealed type is "__main__.Foo" TF = TypeVar("TF", bound=Foo) def outer(cls: Type[TF]) -> TF: reveal_type(test(cls)) # N: Revealed type is "TF`-1" return cls() [case testProtocolImportNotMember] import m import lib class Bad: x: int class Good: x: lib.C x: m.P = Bad() # E: Incompatible types in assignment (expression has type "Bad", variable has type "P") \ # N: Following member(s) of "Bad" have conflicts: \ # N: x: expected "C", got "int" x = Good() [file m.py] from typing import Protocol class P(Protocol): import lib x: lib.C [file lib.py] class C: ... [case testAllowDefaultConstructorInProtocols] from typing import Protocol class P(Protocol): x: int def __init__(self, x: int) -> None: self.x = x class C(P): ... C(0) # OK [case testTypeVarValueConstraintAgainstGenericProtocol] from typing import TypeVar, Generic, Protocol, overload T_contra = TypeVar("T_contra", contravariant=True) AnyStr = TypeVar("AnyStr", str, bytes) class SupportsWrite(Protocol[T_contra]): def write(self, s: T_contra, /) -> None: ... class Buffer: ... class IO(Generic[AnyStr]): @overload def write(self: IO[bytes], s: Buffer, /) -> None: ... @overload def write(self, s: AnyStr, /) -> None: ... def write(self, s): ... def foo(fdst: SupportsWrite[AnyStr]) -> None: ... x: IO[str] foo(x) [case testTypeVarValueConstraintAgainstGenericProtocol2] from typing import Generic, Protocol, TypeVar, overload AnyStr = TypeVar("AnyStr", str, bytes) T_co = TypeVar("T_co", covariant=True) T_contra = TypeVar("T_contra", contravariant=True) class SupportsRead(Generic[T_co]): def read(self) -> T_co: ... class SupportsWrite(Protocol[T_contra]): def write(self, s: T_contra) -> object: ... def copyfileobj(fsrc: SupportsRead[AnyStr], fdst: SupportsWrite[AnyStr]) -> None: ... class WriteToMe(Generic[AnyStr]): @overload def write(self: WriteToMe[str], s: str) -> int: ... @overload def write(self: WriteToMe[bytes], s: bytes) -> int: ... def write(self, s): ... class WriteToMeOrReadFromMe(WriteToMe[AnyStr], SupportsRead[AnyStr]): ... copyfileobj(WriteToMeOrReadFromMe[bytes](), WriteToMe[bytes]()) [case testOverloadedMethodWithExplicitSelfTypes] from typing import Generic, overload, Protocol, TypeVar, Union AnyStr = TypeVar("AnyStr", str, bytes) T_co = TypeVar("T_co", covariant=True) T_contra = TypeVar("T_contra", contravariant=True) class SupportsRead(Protocol[T_co]): def read(self) -> T_co: ... class SupportsWrite(Protocol[T_contra]): def write(self, s: T_contra) -> int: ... class Input(Generic[AnyStr]): def read(self) -> AnyStr: ... class Output(Generic[AnyStr]): @overload def write(self: Output[str], s: str) -> int: ... @overload def write(self: Output[bytes], s: bytes) -> int: ... def write(self, s: Union[str, bytes]) -> int: ... def f(src: SupportsRead[AnyStr], dst: SupportsWrite[AnyStr]) -> None: ... def g1(a: Input[bytes], b: Output[bytes]) -> None: f(a, b) def g2(a: Input[bytes], b: Output[bytes]) -> None: f(a, b) def g3(a: Input[str], b: Output[bytes]) -> None: f(a, b) # E: Cannot infer value of type parameter "AnyStr" of "f" def g4(a: Input[bytes], b: Output[str]) -> None: f(a, b) # E: Cannot infer value of type parameter "AnyStr" of "f" [builtins fixtures/tuple.pyi] [case testOverloadProtocolSubtyping] from typing import Protocol, Self, overload class NumpyFloat: __add__: "FloatOP" class FloatOP(Protocol): @overload def __call__(self, other: float) -> NumpyFloat: ... @overload def __call__(self, other: NumpyFloat) -> NumpyFloat: ... class SupportsAdd(Protocol): @overload def __add__(self, other: float) -> Self: ... @overload def __add__(self, other: NumpyFloat) -> Self: ... x: SupportsAdd = NumpyFloat() [builtins fixtures/tuple.pyi] [case testSetterPropertyProtocolSubtypingBoth] from typing import Protocol class B1: ... class C1(B1): ... class B2: ... class C2(B2): ... class P1(Protocol): @property def foo(self) -> B1: ... @foo.setter def foo(self, x: C2) -> None: ... class P2(Protocol): @property def foo(self) -> B1: ... @foo.setter def foo(self, x: B2) -> None: ... class A1: @property def foo(self) -> B1: ... @foo.setter def foo(self, x: C2) -> None: ... class A2: @property def foo(self) -> C1: ... @foo.setter def foo(self, x: C2) -> None: ... class A3: @property def foo(self) -> C1: ... @foo.setter def foo(self, x: str) -> None: ... class A4: @property def foo(self) -> str: ... @foo.setter def foo(self, x: str) -> None: ... def f1(x: P1) -> None: ... def f2(x: P2) -> None: ... a1: A1 a2: A2 a3: A3 a4: A4 f1(a1) f1(a2) f1(a3) # E: Argument 1 to "f1" has incompatible type "A3"; expected "P1" \ # N: Following member(s) of "A3" have conflicts: \ # N: foo: expected setter type "C2", got "str" f1(a4) # E: Argument 1 to "f1" has incompatible type "A4"; expected "P1" \ # N: Following member(s) of "A4" have conflicts: \ # N: foo: expected "B1", got "str" \ # N: foo: expected setter type "C2", got "str" f2(a1) # E: Argument 1 to "f2" has incompatible type "A1"; expected "P2" \ # N: Following member(s) of "A1" have conflicts: \ # N: foo: expected setter type "B2", got "C2" \ # N: Setter types should behave contravariantly f2(a2) # E: Argument 1 to "f2" has incompatible type "A2"; expected "P2" \ # N: Following member(s) of "A2" have conflicts: \ # N: foo: expected setter type "B2", got "C2" \ # N: Setter types should behave contravariantly f2(a3) # E: Argument 1 to "f2" has incompatible type "A3"; expected "P2" \ # N: Following member(s) of "A3" have conflicts: \ # N: foo: expected setter type "B2", got "str" f2(a4) # E: Argument 1 to "f2" has incompatible type "A4"; expected "P2" \ # N: Following member(s) of "A4" have conflicts: \ # N: foo: expected "B1", got "str" \ # N: foo: expected setter type "B2", got "str" [builtins fixtures/property.pyi] [case testSetterPropertyProtocolSubtypingVarSuper] from typing import Protocol class B1: ... class C1(B1): ... class P1(Protocol): foo: B1 class P2(Protocol): foo: C1 class A1: @property def foo(self) -> B1: ... @foo.setter def foo(self, x: C1) -> None: ... class A2: @property def foo(self) -> C1: ... @foo.setter def foo(self, x: B1) -> None: ... class A3: @property def foo(self) -> C1: ... @foo.setter def foo(self, x: str) -> None: ... class A4: @property def foo(self) -> str: ... @foo.setter def foo(self, x: str) -> None: ... def f1(x: P1) -> None: ... def f2(x: P2) -> None: ... a1: A1 a2: A2 a3: A3 a4: A4 f1(a1) # E: Argument 1 to "f1" has incompatible type "A1"; expected "P1" \ # N: Following member(s) of "A1" have conflicts: \ # N: foo: expected setter type "B1", got "C1" \ # N: Setter types should behave contravariantly f1(a2) f1(a3) # E: Argument 1 to "f1" has incompatible type "A3"; expected "P1" \ # N: Following member(s) of "A3" have conflicts: \ # N: foo: expected setter type "B1", got "str" f1(a4) # E: Argument 1 to "f1" has incompatible type "A4"; expected "P1" \ # N: Following member(s) of "A4" have conflicts: \ # N: foo: expected "B1", got "str" f2(a1) # E: Argument 1 to "f2" has incompatible type "A1"; expected "P2" \ # N: Following member(s) of "A1" have conflicts: \ # N: foo: expected "C1", got "B1" f2(a2) f2(a3) # E: Argument 1 to "f2" has incompatible type "A3"; expected "P2" \ # N: Following member(s) of "A3" have conflicts: \ # N: foo: expected setter type "C1", got "str" f2(a4) # E: Argument 1 to "f2" has incompatible type "A4"; expected "P2" \ # N: Following member(s) of "A4" have conflicts: \ # N: foo: expected "C1", got "str" [builtins fixtures/property.pyi] [case testSetterPropertyProtocolSubtypingVarSub] from typing import Protocol class B1: ... class C1(B1): ... class B2: ... class C2(B2): ... class P1(Protocol): @property def foo(self) -> B1: ... @foo.setter def foo(self, x: C2) -> None: ... class P2(Protocol): @property def foo(self) -> B1: ... @foo.setter def foo(self, x: C1) -> None: ... class A1: foo: B1 class A2: foo: B2 class A3: foo: C2 class A4: foo: str def f1(x: P1) -> None: ... def f2(x: P2) -> None: ... a1: A1 a2: A2 a3: A3 a4: A4 f1(a1) # E: Argument 1 to "f1" has incompatible type "A1"; expected "P1" \ # N: Following member(s) of "A1" have conflicts: \ # N: foo: expected setter type "C2", got "B1" f1(a2) # E: Argument 1 to "f1" has incompatible type "A2"; expected "P1" \ # N: Following member(s) of "A2" have conflicts: \ # N: foo: expected "B1", got "B2" f1(a3) # E: Argument 1 to "f1" has incompatible type "A3"; expected "P1" \ # N: Following member(s) of "A3" have conflicts: \ # N: foo: expected "B1", got "C2" f1(a4) # E: Argument 1 to "f1" has incompatible type "A4"; expected "P1" \ # N: Following member(s) of "A4" have conflicts: \ # N: foo: expected "B1", got "str" \ # N: foo: expected setter type "C2", got "str" f2(a1) f2(a2) # E: Argument 1 to "f2" has incompatible type "A2"; expected "P2" \ # N: Following member(s) of "A2" have conflicts: \ # N: foo: expected "B1", got "B2" \ # N: foo: expected setter type "C1", got "B2" f2(a3) # E: Argument 1 to "f2" has incompatible type "A3"; expected "P2" \ # N: Following member(s) of "A3" have conflicts: \ # N: foo: expected "B1", got "C2" \ # N: foo: expected setter type "C1", got "C2" f2(a4) # E: Argument 1 to "f2" has incompatible type "A4"; expected "P2" \ # N: Following member(s) of "A4" have conflicts: \ # N: foo: expected "B1", got "str" \ # N: foo: expected setter type "C1", got "str" [builtins fixtures/property.pyi] [case testExplicitProtocolJoinPreference] from typing import Protocol, TypeVar T = TypeVar("T") class Proto1(Protocol): def foo(self) -> int: ... class Proto2(Proto1): def bar(self) -> str: ... class Proto3(Proto2): def baz(self) -> str: ... class Base: ... class A(Base, Proto3): ... class B(Base, Proto3): ... def join(a: T, b: T) -> T: ... def main(a: A, b: B) -> None: reveal_type(join(a, b)) # N: Revealed type is "__main__.Proto3" reveal_type(join(b, a)) # N: Revealed type is "__main__.Proto3" [case testProtocolImplementationWithDescriptors] from typing import Any, Protocol class Descr: def __get__(self, inst: Any, owner: Any) -> int: ... class DescrBad: def __get__(self, inst: Any, owner: Any) -> str: ... class Proto(Protocol): x: int class C: x = Descr() class CBad: x = DescrBad() a: Proto = C() b: Proto = CBad() # E: Incompatible types in assignment (expression has type "CBad", variable has type "Proto") \ # N: Following member(s) of "CBad" have conflicts: \ # N: x: expected "int", got "str" [case testProtocolCheckDefersNode] from typing import Any, Callable, Protocol class Proto(Protocol): def f(self) -> int: ... def defer(f: Callable[[Any], int]) -> Callable[[Any], str]: ... def bad() -> Proto: return Impl() # E: Incompatible return value type (got "Impl", expected "Proto") \ # N: Following member(s) of "Impl" have conflicts: \ # N: Expected: \ # N: def f(self) -> int \ # N: Got: \ # N: def f() -> str \ class Impl: @defer def f(self) -> int: ... [case testInferCallableProtoWithAnySubclass] from typing import Any, Generic, Protocol, TypeVar T = TypeVar("T", covariant=True) Unknown: Any class Mock(Unknown): def __init__(self, **kwargs: Any) -> None: ... def __call__(self, *args: Any, **kwargs: Any) -> Any: ... class Factory(Protocol[T]): def __call__(self, **kwargs: Any) -> T: ... class Test(Generic[T]): def __init__(self, f: Factory[T]) -> None: ... t = Test(Mock()) reveal_type(t) # N: Revealed type is "__main__.Test[Any]" [builtins fixtures/dict.pyi] [case testProtocolClassObjectDescriptor] from typing import Any, Protocol, overload class Desc: @overload def __get__(self, instance: None, owner: Any) -> Desc: ... @overload def __get__(self, instance: object, owner: Any) -> int: ... def __get__(self, instance, owner): pass class HasDesc(Protocol): attr: Desc class HasInt(Protocol): attr: int class C: attr = Desc() x: HasInt = C() y: HasDesc = C z: HasInt = C # E: Incompatible types in assignment (expression has type "type[C]", variable has type "HasInt") \ # N: Following member(s) of "C" have conflicts: \ # N: attr: expected "int", got "Desc" [case testProtocolErrorReportingNoDuplicates] from typing import Callable, Protocol, TypeVar class P(Protocol): def meth(self) -> int: ... class C: def meth(self) -> str: ... def foo() -> None: c: P = C() # E: Incompatible types in assignment (expression has type "C", variable has type "P") \ # N: Following member(s) of "C" have conflicts: \ # N: Expected: \ # N: def meth(self) -> int \ # N: Got: \ # N: def meth(self) -> str x = defer() T = TypeVar("T") def deco(fn: Callable[[], T]) -> Callable[[], list[T]]: ... @deco def defer() -> int: ... [builtins fixtures/list.pyi] [case testProtocolClassValDescriptor] from typing import Any, Protocol, overload, ClassVar, Type class Desc: @overload def __get__(self, instance: None, owner: object) -> Desc: ... @overload def __get__(self, instance: object, owner: object) -> int: ... def __get__(self, instance, owner): pass class P(Protocol): x: ClassVar[Desc] class C: x = Desc() t: P = C() reveal_type(t.x) # N: Revealed type is "builtins.int" tt: Type[P] = C reveal_type(tt.x) # N: Revealed type is "__main__.Desc" bad: P = C # E: Incompatible types in assignment (expression has type "type[C]", variable has type "P") \ # N: Following member(s) of "C" have conflicts: \ # N: x: expected "int", got "Desc" [case testProtocolClassValCallable] from typing import Any, Protocol, overload, ClassVar, Type, Callable class P(Protocol): foo: Callable[[object], int] bar: ClassVar[Callable[[object], int]] class C: foo: Callable[[object], int] bar: ClassVar[Callable[[object], int]] t: P = C() reveal_type(t.foo) # N: Revealed type is "def (builtins.object) -> builtins.int" reveal_type(t.bar) # N: Revealed type is "def () -> builtins.int" tt: Type[P] = C reveal_type(tt.foo) # N: Revealed type is "def (builtins.object) -> builtins.int" reveal_type(tt.bar) # N: Revealed type is "def (builtins.object) -> builtins.int" [case testProtocolDecoratedSelfBound] from abc import abstractmethod from typing import Protocol, Self class Proto(Protocol): @abstractmethod def foo(self, x: Self) -> None: ... class Impl: def foo(self, x: Self) -> None: pass x: Proto = Impl() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-python310.test0000644000175100017510000023742315112307767020660 0ustar00runnerrunner-- Capture Pattern -- [case testMatchCapturePatternType] class A: ... m: A match m: case a: reveal_type(a) # N: Revealed type is "__main__.A" -- Literal Pattern -- [case testMatchLiteralPatternNarrows] # flags: --warn-unreachable m: object match m: case 1: reveal_type(m) # N: Revealed type is "Literal[1]" case 2: reveal_type(m) # N: Revealed type is "Literal[2]" case other: reveal_type(other) # N: Revealed type is "builtins.object" [case testMatchLiteralPatternNarrows2] # flags: --warn-unreachable from typing import Any m: Any match m: case 1: reveal_type(m) # N: Revealed type is "Literal[1]" case 2: reveal_type(m) # N: Revealed type is "Literal[2]" case other: reveal_type(other) # N: Revealed type is "Any" [case testMatchLiteralPatternAlreadyNarrower-skip] m: bool match m: case 1: reveal_type(m) # This should probably be unreachable, but isn't detected as such. [builtins fixtures/primitives.pyi] [case testMatchLiteralPatternUnreachable] # primitives are needed because otherwise mypy doesn't see that int and str are incompatible m: int match m: case "str": reveal_type(m) [builtins fixtures/primitives.pyi] -- Value Pattern -- [case testMatchValuePatternNarrows] import b m: object match m: case b.b: reveal_type(m) # N: Revealed type is "builtins.int" [file b.py] b: int [case testMatchValuePatternAlreadyNarrower] import b m: bool match m: case b.b: reveal_type(m) # N: Revealed type is "builtins.bool" [file b.py] b: int [case testMatchValuePatternIntersect] import b class A: ... m: A match m: case b.b: reveal_type(m) # N: Revealed type is "__main__." [file b.py] class B: ... b: B [case testMatchValuePatternUnreachable] # primitives are needed because otherwise mypy doesn't see that int and str are incompatible import b m: int match m: case b.b: reveal_type(m) [file b.py] b: str [builtins fixtures/primitives.pyi] -- Sequence Pattern -- [case testMatchSequencePatternCaptures] from typing import List m: List[int] match m: case [a]: reveal_type(a) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testMatchSequencePatternCapturesStarred] from typing import Sequence m: Sequence[int] match m: case [a, *b]: reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testMatchSequencePatternNarrowsInner] from typing import Sequence m: Sequence[object] match m: case [1, True]: reveal_type(m) # N: Revealed type is "typing.Sequence[builtins.int]" [case testMatchSequencePatternNarrowsOuter] from typing import Sequence m: object match m: case [1, True]: reveal_type(m) # N: Revealed type is "typing.Sequence[builtins.int]" [case testMatchSequencePatternAlreadyNarrowerInner] from typing import Sequence m: Sequence[bool] match m: case [1, True]: reveal_type(m) # N: Revealed type is "typing.Sequence[builtins.bool]" [case testMatchSequencePatternAlreadyNarrowerOuter] from typing import Sequence m: Sequence[object] match m: case [1, True]: reveal_type(m) # N: Revealed type is "typing.Sequence[builtins.int]" [case testMatchSequencePatternAlreadyNarrowerBoth] from typing import Sequence m: Sequence[bool] match m: case [1, True]: reveal_type(m) # N: Revealed type is "typing.Sequence[builtins.bool]" [case testMatchNestedSequencePatternNarrowsInner] from typing import Sequence m: Sequence[Sequence[object]] match m: case [[1], [True]]: reveal_type(m) # N: Revealed type is "typing.Sequence[typing.Sequence[builtins.int]]" [case testMatchNestedSequencePatternNarrowsOuter] from typing import Sequence m: object match m: case [[1], [True]]: reveal_type(m) # N: Revealed type is "typing.Sequence[typing.Sequence[builtins.int]]" [case testMatchSequencePatternDoesntNarrowInvariant] from typing import List m: List[object] match m: case [1]: reveal_type(m) # N: Revealed type is "builtins.list[builtins.object]" [builtins fixtures/list.pyi] [case testMatchSequencePatternMatches] import array, collections from typing import Sequence, Iterable m1: object m2: Sequence[int] m3: array.array[int] m4: collections.deque[int] m5: list[int] m6: memoryview m7: range m8: tuple[int] m9: str m10: bytes m11: bytearray match m1: case [a]: reveal_type(a) # N: Revealed type is "builtins.object" match m2: case [b]: reveal_type(b) # N: Revealed type is "builtins.int" match m3: case [c]: reveal_type(c) # N: Revealed type is "builtins.int" match m4: case [d]: reveal_type(d) # N: Revealed type is "builtins.int" match m5: case [e]: reveal_type(e) # N: Revealed type is "builtins.int" match m6: case [f]: reveal_type(f) # N: Revealed type is "builtins.int" match m7: case [g]: reveal_type(g) # N: Revealed type is "builtins.int" match m8: case [h]: reveal_type(h) # N: Revealed type is "builtins.int" match m9: case [i]: reveal_type(i) match m10: case [j]: reveal_type(j) match m11: case [k]: reveal_type(k) [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testMatchSequencePatternCapturesTuple] from typing import Tuple m: Tuple[int, str, bool] match m: case [a, b, c]: reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.str" reveal_type(c) # N: Revealed type is "builtins.bool" reveal_type(m) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.bool]" [builtins fixtures/list.pyi] [case testMatchSequencePatternTupleTooLong] from typing import Tuple m: Tuple[int, str] match m: case [a, b, c]: reveal_type(a) reveal_type(b) reveal_type(c) [builtins fixtures/list.pyi] [case testMatchSequencePatternTupleTooShort] from typing import Tuple m: Tuple[int, str, bool] match m: case [a, b]: reveal_type(a) reveal_type(b) [builtins fixtures/list.pyi] [case testMatchSequencePatternTupleNarrows] from typing import Tuple m: Tuple[object, object] match m: case [1, "str"]: reveal_type(m) # N: Revealed type is "tuple[Literal[1], Literal['str']]" [builtins fixtures/list.pyi] [case testMatchSequencePatternTupleStarred] from typing import Tuple m: Tuple[int, str, bool] match m: case [a, *b, c]: reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(c) # N: Revealed type is "builtins.bool" reveal_type(m) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.bool]" [builtins fixtures/list.pyi] [case testMatchSequencePatternTupleStarredUnion] from typing import Tuple m: Tuple[int, str, float, bool] match m: case [a, *b, c]: reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(b) # N: Revealed type is "builtins.list[Union[builtins.str, builtins.float]]" reveal_type(c) # N: Revealed type is "builtins.bool" reveal_type(m) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.float, builtins.bool]" [builtins fixtures/list.pyi] [case testMatchSequencePatternTupleStarredTooShort] from typing import Tuple m: Tuple[int] reveal_type(m) # N: Revealed type is "tuple[builtins.int]" match m: case [a, *b, c]: reveal_type(a) reveal_type(b) reveal_type(c) [builtins fixtures/list.pyi] [case testMatchNonMatchingSequencePattern] from typing import List x: List[int] match x: case [str()]: pass [case testMatchSequencePatternWithInvalidClassPattern] class Example: __match_args__ = ("value",) def __init__(self, value: str) -> None: self.value = value SubClass: type[Example] match [SubClass("a"), SubClass("b")]: case [SubClass(value), *rest]: # E: Expected type in class pattern; found "type[__main__.Example]" reveal_type(value) # E: Cannot determine type of "value" \ # N: Revealed type is "Any" reveal_type(rest) # N: Revealed type is "builtins.list[__main__.Example]" [builtins fixtures/tuple.pyi] # Narrowing union-based values via a literal pattern on an indexed/attribute subject # ------------------------------------------------------------------------------- # Literal patterns against a union of types can be used to narrow the subject # itself, not just the expression being matched. Previously, the patterns below # failed to narrow the `d` variable, leading to errors for missing members; we # now propagate the type information up to the parent. [case testMatchNarrowingUnionTypedDictViaIndex] from typing import Literal, TypedDict class A(TypedDict): tag: Literal["a"] name: str class B(TypedDict): tag: Literal["b"] num: int d: A | B match d["tag"]: case "a": reveal_type(d) # N: Revealed type is "TypedDict('__main__.A', {'tag': Literal['a'], 'name': builtins.str})" reveal_type(d["name"]) # N: Revealed type is "builtins.str" case "b": reveal_type(d) # N: Revealed type is "TypedDict('__main__.B', {'tag': Literal['b'], 'num': builtins.int})" reveal_type(d["num"]) # N: Revealed type is "builtins.int" [typing fixtures/typing-typeddict.pyi] [case testMatchNarrowingUnionClassViaAttribute] from typing import Literal class A: tag: Literal["a"] name: str class B: tag: Literal["b"] num: int d: A | B match d.tag: case "a": reveal_type(d) # N: Revealed type is "__main__.A" reveal_type(d.name) # N: Revealed type is "builtins.str" case "b": reveal_type(d) # N: Revealed type is "__main__.B" reveal_type(d.num) # N: Revealed type is "builtins.int" [case testMatchSequenceUnion-skip] from typing import List, Union m: Union[List[List[str]], str] match m: case [list(['str'])]: reveal_type(m) # N: Revealed type is "builtins.list[builtins.list[builtins.str]]" [builtins fixtures/list.pyi] [case testMatchSequencePatternNarrowSubjectItems] m: int n: str o: bool match m, n, o: case [3, "foo", True]: reveal_type(m) # N: Revealed type is "Literal[3]" reveal_type(n) # N: Revealed type is "Literal['foo']" reveal_type(o) # N: Revealed type is "Literal[True]" case [a, b, c]: reveal_type(m) # N: Revealed type is "builtins.int" reveal_type(n) # N: Revealed type is "builtins.str" reveal_type(o) # N: Revealed type is "builtins.bool" reveal_type(m) # N: Revealed type is "builtins.int" reveal_type(n) # N: Revealed type is "builtins.str" reveal_type(o) # N: Revealed type is "builtins.bool" [builtins fixtures/tuple.pyi] [case testMatchSequencePatternNarrowSubjectItemsRecursive] m: int n: int o: int p: int q: int r: int match m, (n, o), (p, (q, r)): case [0, [1, 2], [3, [4, 5]]]: reveal_type(m) # N: Revealed type is "Literal[0]" reveal_type(n) # N: Revealed type is "Literal[1]" reveal_type(o) # N: Revealed type is "Literal[2]" reveal_type(p) # N: Revealed type is "Literal[3]" reveal_type(q) # N: Revealed type is "Literal[4]" reveal_type(r) # N: Revealed type is "Literal[5]" [builtins fixtures/tuple.pyi] [case testMatchSequencePatternSequencesLengthMismatchNoNarrowing] m: int n: str o: bool match m, n, o: case [3, "foo"]: pass case [3, "foo", True, True]: pass [builtins fixtures/tuple.pyi] [case testMatchSequencePatternSequencesLengthMismatchNoNarrowingRecursive] m: int n: int o: int match m, (n, o): case [0]: pass case [0, 1, [2]]: pass case [0, [1]]: pass case [0, [1, 2, 3]]: pass [builtins fixtures/tuple.pyi] -- Mapping Pattern -- [case testMatchMappingPatternCaptures] from typing import Dict import b m: Dict[str, int] match m: case {"key": v}: reveal_type(v) # N: Revealed type is "builtins.int" case {b.b: v2}: reveal_type(v2) # N: Revealed type is "builtins.int" [file b.py] b: str [builtins fixtures/dict.pyi] [case testMatchMappingPatternCapturesWrongKeyType] # This is not actually unreachable, as a subclass of dict could accept keys with different types from typing import Dict import b m: Dict[str, int] match m: case {1: v}: reveal_type(v) # N: Revealed type is "builtins.int" case {b.b: v2}: reveal_type(v2) # N: Revealed type is "builtins.int" [file b.py] b: int [builtins fixtures/dict.pyi] [case testMatchMappingPatternCapturesTypedDict] from typing import TypedDict class A(TypedDict): a: str b: int m: A match m: case {"a": v}: reveal_type(v) # N: Revealed type is "builtins.str" case {"b": v2}: reveal_type(v2) # N: Revealed type is "builtins.int" case {"a": v3, "b": v4}: reveal_type(v3) # N: Revealed type is "builtins.str" reveal_type(v4) # N: Revealed type is "builtins.int" case {"o": v5}: reveal_type(v5) # N: Revealed type is "builtins.object" [typing fixtures/typing-typeddict.pyi] [case testMatchMappingPatternCapturesTypedDictWithLiteral] from typing import TypedDict import b class A(TypedDict): a: str b: int m: A match m: case {b.a: v}: reveal_type(v) # N: Revealed type is "builtins.str" case {b.b: v2}: reveal_type(v2) # N: Revealed type is "builtins.int" case {b.a: v3, b.b: v4}: reveal_type(v3) # N: Revealed type is "builtins.str" reveal_type(v4) # N: Revealed type is "builtins.int" case {b.o: v5}: reveal_type(v5) # N: Revealed type is "builtins.object" [file b.py] from typing import Final, Literal a: Final = "a" b: Literal["b"] = "b" o: Final[str] = "o" [typing fixtures/typing-typeddict.pyi] [case testMatchMappingPatternCapturesTypedDictWithNonLiteral] from typing import TypedDict import b class A(TypedDict): a: str b: int m: A match m: case {b.a: v}: reveal_type(v) # N: Revealed type is "builtins.object" [file b.py] from typing import Final, Literal a: str [typing fixtures/typing-typeddict.pyi] [case testMatchMappingPatternCapturesTypedDictUnreachable] # TypedDict keys are always str, so this is actually unreachable from typing import TypedDict import b class A(TypedDict): a: str b: int m: A match m: case {1: v}: reveal_type(v) case {b.b: v2}: reveal_type(v2) [file b.py] b: int [typing fixtures/typing-typeddict.pyi] [case testMatchMappingPatternCaptureRest] m: object match m: case {'k': 1, **r}: reveal_type(r) # N: Revealed type is "builtins.dict[builtins.object, builtins.object]" [builtins fixtures/dict.pyi] [case testMatchMappingPatternCaptureRestFromMapping] from typing import Mapping m: Mapping[str, int] match m: case {'k': 1, **r}: reveal_type(r) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" [builtins fixtures/dict.pyi] -- Mapping patterns currently do not narrow -- -- Class Pattern -- [case testMatchClassPatternCapturePositional] from typing import Final class A: __match_args__: Final = ("a", "b") a: str b: int m: A match m: case A(i, j): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testMatchClassPatternMemberClassCapturePositional] import b m: b.A match m: case b.A(i, j): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "builtins.int" [file b.py] from typing import Final class A: __match_args__: Final = ("a", "b") a: str b: int [builtins fixtures/tuple.pyi] [case testMatchClassPatternCaptureKeyword] class A: a: str b: int m: A match m: case A(a=i, b=j): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "builtins.int" [case testMatchClassPatternCaptureSelf] m: object match m: case bool(a): reveal_type(a) # N: Revealed type is "builtins.bool" case bytearray(b): reveal_type(b) # N: Revealed type is "builtins.bytearray" case bytes(c): reveal_type(c) # N: Revealed type is "builtins.bytes" case dict(d): reveal_type(d) # N: Revealed type is "builtins.dict[Any, Any]" case float(e): reveal_type(e) # N: Revealed type is "builtins.float" case frozenset(f): reveal_type(f) # N: Revealed type is "builtins.frozenset[Any]" case int(g): reveal_type(g) # N: Revealed type is "builtins.int" case list(h): reveal_type(h) # N: Revealed type is "builtins.list[Any]" case set(i): reveal_type(i) # N: Revealed type is "builtins.set[Any]" case str(j): reveal_type(j) # N: Revealed type is "builtins.str" case tuple(k): reveal_type(k) # N: Revealed type is "builtins.tuple[Any, ...]" [builtins fixtures/primitives.pyi] [case testMatchClassPatternNarrowSelfCapture] m: object match m: case bool(): reveal_type(m) # N: Revealed type is "builtins.bool" case bytearray(): reveal_type(m) # N: Revealed type is "builtins.bytearray" case bytes(): reveal_type(m) # N: Revealed type is "builtins.bytes" case dict(): reveal_type(m) # N: Revealed type is "builtins.dict[Any, Any]" case float(): reveal_type(m) # N: Revealed type is "builtins.float" case frozenset(): reveal_type(m) # N: Revealed type is "builtins.frozenset[Any]" case int(): reveal_type(m) # N: Revealed type is "builtins.int" case list(): reveal_type(m) # N: Revealed type is "builtins.list[Any]" case set(): reveal_type(m) # N: Revealed type is "builtins.set[Any]" case str(): reveal_type(m) # N: Revealed type is "builtins.str" case tuple(): reveal_type(m) # N: Revealed type is "builtins.tuple[Any, ...]" [builtins fixtures/primitives.pyi] [case testMatchClassPatternCaptureSelfSubtype] class A(str): pass class B(str): __match_args__ = ("b",) b: int def f1(x: A): match x: case A(a): reveal_type(a) # N: Revealed type is "__main__.A" def f2(x: B): match x: case B(b): reveal_type(b) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testMatchInvalidClassPattern] m: object match m: case xyz(y): # E: Name "xyz" is not defined reveal_type(m) # N: Revealed type is "Any" reveal_type(y) # N: Revealed type is "Any" match m: case xyz(z=x): # E: Name "xyz" is not defined reveal_type(x) # N: Revealed type is "Any" case (xyz1() as n) | (xyz2(attr=n)): # E: Name "xyz1" is not defined \ # E: Name "xyz2" is not defined reveal_type(n) # N: Revealed type is "Any" [case testMatchClassPatternCaptureDataclass] from dataclasses import dataclass @dataclass class A: a: str b: int m: A match m: case A(i, j): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "builtins.int" [builtins fixtures/dataclasses.pyi] [case testMatchClassPatternCaptureDataclassNoMatchArgs] from dataclasses import dataclass @dataclass(match_args=False) class A: a: str b: int m: A match m: case A(i, j): # E: Class "__main__.A" doesn't define "__match_args__" pass [builtins fixtures/dataclasses.pyi] [case testMatchClassPatternCaptureDataclassPartialMatchArgs] from dataclasses import dataclass, field @dataclass class A: a: str b: int = field(init=False) m: A match m: case A(i, j): # E: Too many positional patterns for class pattern pass case A(k): reveal_type(k) # N: Revealed type is "builtins.str" [builtins fixtures/dataclasses.pyi] [case testMatchClassPatternCaptureNamedTupleInline] from collections import namedtuple A = namedtuple("A", ["a", "b"]) m: A match m: case A(i, j): reveal_type(i) # N: Revealed type is "Any" reveal_type(j) # N: Revealed type is "Any" [builtins fixtures/list.pyi] [case testMatchClassPatternCaptureNamedTupleInlineTyped] from typing import NamedTuple A = NamedTuple("A", [("a", str), ("b", int)]) m: A match m: case A(i, j): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testMatchClassPatternCaptureNamedTupleClass] from typing import NamedTuple class A(NamedTuple): a: str b: int m: A match m: case A(i, j): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testMatchSequencePatternCaptureNamedTuple] from typing import NamedTuple class N(NamedTuple): x: int y: str a = N(1, "a") match a: case [x, y]: reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testMatchClassPatternCaptureGeneric] from typing import Generic, TypeVar T = TypeVar('T') class A(Generic[T]): a: T m: object match m: case A(a=i): reveal_type(m) # N: Revealed type is "__main__.A[Any]" reveal_type(i) # N: Revealed type is "Any" [case testMatchClassPatternCaptureVariadicGeneric] from typing import Generic, Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple('Ts') class A(Generic[Unpack[Ts]]): a: Tuple[Unpack[Ts]] m: object match m: case A(a=i): reveal_type(m) # N: Revealed type is "__main__.A[Unpack[builtins.tuple[Any, ...]]]" reveal_type(i) # N: Revealed type is "builtins.tuple[Any, ...]" [builtins fixtures/tuple.pyi] [case testMatchClassPatternCaptureGenericAlreadyKnown] from typing import Generic, TypeVar T = TypeVar('T') class A(Generic[T]): a: T m: A[int] match m: case A(a=i): reveal_type(m) # N: Revealed type is "__main__.A[builtins.int]" reveal_type(i) # N: Revealed type is "builtins.int" [case testMatchClassPatternCaptureFilledGenericTypeAlias] from typing import Generic, TypeVar T = TypeVar('T') class A(Generic[T]): a: T B = A[int] m: object match m: case B(a=i): # E: Class pattern class must not be a type alias with type parameters reveal_type(i) [case testMatchClassPatternCaptureGenericTypeAlias] from typing import Generic, TypeVar T = TypeVar('T') class A(Generic[T]): a: T B = A m: object match m: case B(a=i): pass [case testMatchClassPatternNarrows] from typing import Final class A: __match_args__: Final = ("a", "b") a: str b: int m: object match m: case A(): reveal_type(m) # N: Revealed type is "__main__.A" case A(i, j): reveal_type(m) # N: Revealed type is "__main__.A" [builtins fixtures/tuple.pyi] [case testMatchClassPatternNarrowsUnion] from typing import Final, Union class A: __match_args__: Final = ("a", "b") a: str b: int class B: __match_args__: Final = ("a", "b") a: int b: str m: Union[A, B] match m: case A(): reveal_type(m) # N: Revealed type is "__main__.A" match m: case A(i, j): reveal_type(m) # N: Revealed type is "__main__.A" reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "builtins.int" match m: case B(): reveal_type(m) # N: Revealed type is "__main__.B" match m: case B(k, l): reveal_type(m) # N: Revealed type is "__main__.B" reveal_type(k) # N: Revealed type is "builtins.int" reveal_type(l) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testMatchClassPatternAlreadyNarrower] from typing import Final class A: __match_args__: Final = ("a", "b") a: str b: int class B(A): ... m: B match m: case A(): reveal_type(m) # N: Revealed type is "__main__.B" match m: case A(i, j): reveal_type(m) # N: Revealed type is "__main__.B" [builtins fixtures/tuple.pyi] [case testMatchClassPatternIntersection] from typing import Final class A: __match_args__: Final = ("a", "b") a: str b: int class B: ... m: B match m: case A(): reveal_type(m) # N: Revealed type is "__main__." case A(i, j): reveal_type(m) # N: Revealed type is "__main__." [builtins fixtures/tuple.pyi] [case testMatchClassPatternNonexistentKeyword] from typing import Any class A: ... m: object n: Any match m: case A(a=j): # E: Class "__main__.A" has no attribute "a" reveal_type(m) # N: Revealed type is "__main__.A" reveal_type(j) # N: Revealed type is "Any" match n: # Matching against object should not emit an error for non-existing keys case object(a=k): reveal_type(n) # N: Revealed type is "builtins.object" reveal_type(n.a) # N: Revealed type is "Any" reveal_type(k) # N: Revealed type is "Any" [case testMatchClassPatternDuplicateKeyword] class A: a: str m: object match m: case A(a=i, a=j): # E: Duplicate keyword pattern "a" pass [case testMatchClassPatternDuplicateImplicitKeyword] from typing import Final class A: __match_args__: Final = ("a",) a: str m: object match m: case A(i, a=j): # E: Keyword "a" already matches a positional pattern pass [builtins fixtures/tuple.pyi] [case testMatchClassPatternTooManyPositionals] from typing import Final class A: __match_args__: Final = ("a", "b") a: str b: int m: object match m: case A(i, j, k): # E: Too many positional patterns for class pattern pass [builtins fixtures/tuple.pyi] [case testMatchClassPatternIsNotType] a = 1 m: object match m: case a(i, j): # E: Expected type in class pattern; found "builtins.int" reveal_type(i) reveal_type(j) [case testMatchClassPatternAny] from typing import Any Foo: Any m: object match m: case Foo(): pass [case testMatchClassPatternCallable] # flags: --warn-unreachable from typing import Callable, Any class FnImpl: def __call__(self, x: object, /) -> int: ... def test_any(x: Any) -> None: match x: case Callable() as fn: reveal_type(fn) # N: Revealed type is "def (*Any, **Any) -> Any" case other: reveal_type(other) # N: Revealed type is "Any" def test_object(x: object) -> None: match x: case Callable() as fn: reveal_type(fn) # N: Revealed type is "def (*Any, **Any) -> Any" case other: reveal_type(other) # N: Revealed type is "builtins.object" def test_impl(x: FnImpl) -> None: match x: case Callable() as fn: reveal_type(fn) # N: Revealed type is "__main__.FnImpl" case other: reveal_type(other) # E: Statement is unreachable def test_callable(x: Callable[[object], int]) -> None: match x: case Callable() as fn: reveal_type(fn) # N: Revealed type is "def (builtins.object) -> builtins.int" case other: reveal_type(other) # E: Statement is unreachable [case testMatchClassPatternCallbackProtocol] # flags: --warn-unreachable from typing import Any, Callable from typing_extensions import Protocol, runtime_checkable @runtime_checkable class FnProto(Protocol): def __call__(self, x: int, /) -> object: ... class FnImpl: def __call__(self, x: object, /) -> int: ... def test_any(x: Any) -> None: match x: case FnProto() as fn: reveal_type(fn) # N: Revealed type is "__main__.FnProto" case other: reveal_type(other) # N: Revealed type is "Any" def test_object(x: object) -> None: match x: case FnProto() as fn: reveal_type(fn) # N: Revealed type is "__main__.FnProto" case other: reveal_type(other) # N: Revealed type is "builtins.object" def test_impl(x: FnImpl) -> None: match x: case FnProto() as fn: reveal_type(fn) # N: Revealed type is "__main__.FnImpl" case other: reveal_type(other) # E: Statement is unreachable def test_callable(x: Callable[[object], int]) -> None: match x: case FnProto() as fn: reveal_type(fn) # N: Revealed type is "def (builtins.object) -> builtins.int" case other: reveal_type(other) # E: Statement is unreachable [builtins fixtures/dict.pyi] [case testMatchClassPatternAnyCallableProtocol] # flags: --warn-unreachable from typing import Any, Callable from typing_extensions import Protocol, runtime_checkable @runtime_checkable class AnyCallable(Protocol): def __call__(self, *args: Any, **kwargs: Any) -> Any: ... class FnImpl: def __call__(self, x: object, /) -> int: ... def test_object(x: object) -> None: match x: case AnyCallable() as fn: reveal_type(fn) # N: Revealed type is "__main__.AnyCallable" case other: reveal_type(other) # N: Revealed type is "builtins.object" def test_impl(x: FnImpl) -> None: match x: case AnyCallable() as fn: reveal_type(fn) # N: Revealed type is "__main__.FnImpl" case other: reveal_type(other) # E: Statement is unreachable def test_callable(x: Callable[[object], int]) -> None: match x: case AnyCallable() as fn: reveal_type(fn) # N: Revealed type is "def (builtins.object) -> builtins.int" case other: reveal_type(other) # E: Statement is unreachable [builtins fixtures/dict.pyi] [case testMatchClassPatternProtocol] from typing import Any from typing_extensions import Protocol, runtime_checkable @runtime_checkable class Proto(Protocol): def foo(self, x: int, /) -> object: ... class Impl: def foo(self, x: object, /) -> int: ... def test_object(x: object) -> None: match x: case Proto() as y: reveal_type(y) # N: Revealed type is "__main__.Proto" def test_impl(x: Impl) -> None: match x: case Proto() as y: reveal_type(y) # N: Revealed type is "__main__.Impl" [builtins fixtures/dict.pyi] [case testMatchClassPatternNestedGenerics] # From cpython test_patma.py x = [[{0: 0}]] match x: case list([({-0-0j: int(real=0+0j, imag=0-0j) | (1) as z},)]): y = 0 reveal_type(x) # N: Revealed type is "builtins.list[builtins.list[builtins.dict[builtins.int, builtins.int]]]" reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(z) # N: Revealed type is "builtins.int" [builtins fixtures/dict-full.pyi] [case testMatchNonFinalMatchArgs] class A: __match_args__ = ("a", "b") a: str b: int m: object match m: case A(i, j): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testMatchAnyTupleMatchArgs] from typing import Tuple, Any class A: __match_args__: Tuple[Any, ...] a: str b: int m: object match m: case A(i, j, k): reveal_type(i) # N: Revealed type is "Any" reveal_type(j) # N: Revealed type is "Any" reveal_type(k) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testMatchNonLiteralMatchArgs] from typing import Final b: str = "b" class A: __match_args__: Final = ("a", b) # N: __match_args__ must be a tuple containing string literals for checking of match statements to work a: str b: int m: object match m: case A(i, j, k): # E: Too many positional patterns for class pattern pass case A(i, j): reveal_type(i) # N: Revealed type is "builtins.str" reveal_type(j) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testMatchExternalMatchArgs] from typing import Final, Literal args: Final = ("a", "b") class A: __match_args__: Final = args a: str b: int arg: Final = "a" arg2: Literal["b"] = "b" class B: __match_args__: Final = (arg, arg2) a: str b: int [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] -- As Pattern -- [case testMatchAsPattern] m: int match m: case x as l: reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(l) # N: Revealed type is "builtins.int" [case testMatchAsPatternNarrows] m: object match m: case int() as l: reveal_type(l) # N: Revealed type is "builtins.int" [case testMatchAsPatternCapturesOr] m: object match m: case 1 | 2 as n: reveal_type(n) # N: Revealed type is "Union[Literal[1], Literal[2]]" [case testMatchAsPatternAlreadyNarrower] m: bool match m: case int() as l: reveal_type(l) # N: Revealed type is "builtins.bool" -- Or Pattern -- [case testMatchOrPatternNarrows] m: object match m: case 1 | 2: reveal_type(m) # N: Revealed type is "Union[Literal[1], Literal[2]]" [case testMatchOrPatternNarrowsStr] m: object match m: case "foo" | "bar": reveal_type(m) # N: Revealed type is "Union[Literal['foo'], Literal['bar']]" [case testMatchOrPatternNarrowsUnion] m: object match m: case 1 | "foo": reveal_type(m) # N: Revealed type is "Union[Literal[1], Literal['foo']]" [case testMatchOrPatternCapturesMissing] from typing import List m: List[int] match m: case [x, y] | list(x): # E: Alternative patterns bind different names reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.list[builtins.int]]" reveal_type(y) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testMatchOrPatternCapturesJoin] m: object match m: case list(x) | dict(x): reveal_type(x) # N: Revealed type is "Union[builtins.list[Any], builtins.dict[Any, Any]]" [builtins fixtures/dict.pyi] -- Interactions -- [case testMatchCapturePatternMultipleCases] m: object match m: case int(x): reveal_type(x) # N: Revealed type is "builtins.int" case str(x): reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testMatchCapturePatternMultipleCaptures] from typing import Iterable m: Iterable[int] match m: case [x, x]: # E: Multiple assignments to name "x" in pattern reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testMatchCapturePatternPreexistingSame] a: int m: int match m: case a: reveal_type(a) # N: Revealed type is "builtins.int" [case testMatchCapturePatternPreexistingNarrows] a: int m: bool match m: case a: reveal_type(a) # N: Revealed type is "builtins.bool" reveal_type(a) # N: Revealed type is "builtins.bool" a = 3 reveal_type(a) # N: Revealed type is "builtins.int" [case testMatchCapturePatternPreexistingIncompatible] a: str m: int match m: case a: # E: Incompatible types in capture pattern (pattern captures type "int", variable has type "str") reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(a) # N: Revealed type is "builtins.str" [case testMatchCapturePatternPreexistingIncompatibleLater] a: str m: object match m: case str(a): reveal_type(a) # N: Revealed type is "builtins.str" case int(a): # E: Incompatible types in capture pattern (pattern captures type "int", variable has type "str") reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(a) # N: Revealed type is "builtins.str" [case testMatchCapturePatternFromFunctionReturningUnion] def func1(arg: bool) -> str | int: ... def func2(arg: bool) -> bytes | int: ... def main() -> None: match func1(True): case str(a): match func2(True): case c: reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(c) # N: Revealed type is "Union[builtins.bytes, builtins.int]" reveal_type(a) # N: Revealed type is "builtins.str" case a: reveal_type(a) # N: Revealed type is "builtins.int" [case testMatchCapturePatternFromAsyncFunctionReturningUnion] async def func1(arg: bool) -> str | int: ... async def func2(arg: bool) -> bytes | int: ... async def main() -> None: match await func1(True): case str(a): match await func2(True): case c: reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(c) # N: Revealed type is "Union[builtins.bytes, builtins.int]" reveal_type(a) # N: Revealed type is "builtins.str" case a: reveal_type(a) # N: Revealed type is "builtins.int" -- Guards -- [case testMatchSimplePatternGuard] m: str def guard() -> bool: ... match m: case a if guard(): reveal_type(a) # N: Revealed type is "builtins.str" [case testMatchAlwaysTruePatternGuard] m: str match m: case a if True: reveal_type(a) # N: Revealed type is "builtins.str" [case testMatchAlwaysFalsePatternGuard] m: str match m: case a if False: reveal_type(a) [case testMatchRedefiningPatternGuard] m: str match m: case a if a := 1: # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type(a) # N: Revealed type is "Literal[1]?" [case testMatchAssigningPatternGuard] m: str match m: case a if a := "test": reveal_type(a) # N: Revealed type is "builtins.str" [case testMatchNarrowingPatternGuard] m: object match m: case a if isinstance(a, str): reveal_type(a) # N: Revealed type is "builtins.str" [builtins fixtures/isinstancelist.pyi] [case testMatchIncompatiblePatternGuard] class A: ... class B: ... m: A match m: case a if isinstance(a, B): reveal_type(a) # N: Revealed type is "__main__." [builtins fixtures/isinstancelist.pyi] [case testMatchUnreachablePatternGuard] m: str match m: case a if isinstance(a, int): reveal_type(a) [builtins fixtures/isinstancelist.pyi] [case testMatchSubjectAssignExprWithGuard] from typing import Optional def func() -> Optional[str]: ... match m := func(): case _ if not m: reveal_type(m) # N: Revealed type is "Union[Literal[''], None]" case _: reveal_type(m) # N: Revealed type is "builtins.str" -- Exhaustiveness -- [case testMatchUnionNegativeNarrowing] from typing import Union m: Union[str, int] match m: case str(a): reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(m) # N: Revealed type is "builtins.str" case b: reveal_type(b) # N: Revealed type is "builtins.int" reveal_type(m) # N: Revealed type is "builtins.int" [case testMatchOrPatternNegativeNarrowing] from typing import Union m: Union[str, bytes, int] match m: case str(a) | bytes(a): reveal_type(a) # N: Revealed type is "Union[builtins.str, builtins.bytes]" reveal_type(m) # N: Revealed type is "Union[builtins.str, builtins.bytes]" case b: reveal_type(b) # N: Revealed type is "builtins.int" [case testMatchExhaustiveReturn] def foo(value) -> int: match value: case "bar": return 1 case _: return 2 [case testMatchNonExhaustiveReturn] def foo(value) -> int: # E: Missing return statement match value: case "bar": return 1 case 2: return 2 [case testMatchMoreExhaustiveReturnCases] def g(value: int | None) -> int: match value: case int(): return 0 case None: return 1 def b(value: bool) -> int: match value: case True: return 2 case False: return 3 [case testMatchMiscNonExhaustiveReturn] class C: a: int | str def f1(value: int | str | None) -> int: # E: Missing return statement match value: case int(): return 0 case None: return 1 def f2(c: C) -> int: # E: Missing return statement match c: case C(a=int()): return 0 case C(a=str()): return 1 def f3(x: list[str]) -> int: # E: Missing return statement match x: case [a]: return 0 case [a, b]: return 1 def f4(x: dict[str, int]) -> int: # E: Missing return statement match x: case {'x': a}: return 0 def f5(x: bool) -> int: # E: Missing return statement match x: case True: return 0 [builtins fixtures/dict.pyi] [case testMatchNonExhaustiveError] from typing import NoReturn def assert_never(x: NoReturn) -> None: ... def f(value: int) -> int: # E: Missing return statement match value: case 1: return 0 case 2: return 1 case o: assert_never(o) # E: Argument 1 to "assert_never" has incompatible type "int"; expected "Never" [case testMatchExhaustiveNoError] from typing import NoReturn, Union, Literal def assert_never(x: NoReturn) -> None: ... def f(value: Literal[1] | Literal[2]) -> int: match value: case 1: return 0 case 2: return 1 case o: assert_never(o) [typing fixtures/typing-medium.pyi] [case testMatchSequencePatternNegativeNarrowing] from typing import Literal, Union, Sequence, Tuple m1: Sequence[int | str] match m1: case [int()]: reveal_type(m1) # N: Revealed type is "typing.Sequence[builtins.int]" case r: reveal_type(m1) # N: Revealed type is "typing.Sequence[Union[builtins.int, builtins.str]]" m2: Tuple[int | str] match m2: case (int(),): reveal_type(m2) # N: Revealed type is "tuple[builtins.int]" case r2: reveal_type(m2) # N: Revealed type is "tuple[builtins.str]" m3: Tuple[Union[int, str]] match m3: case (1,): reveal_type(m3) # N: Revealed type is "tuple[Literal[1]]" case r2: reveal_type(m3) # N: Revealed type is "tuple[Union[builtins.int, builtins.str]]" m4: Tuple[Literal[1], int] match m4: case (1, 5): reveal_type(m4) # N: Revealed type is "tuple[Literal[1], Literal[5]]" case (1, 6): reveal_type(m4) # N: Revealed type is "tuple[Literal[1], Literal[6]]" case _: reveal_type(m4) # N: Revealed type is "tuple[Literal[1], builtins.int]" m5: Tuple[Literal[1, 2], Literal["a", "b"]] match m5: case (1, str()): reveal_type(m5) # N: Revealed type is "tuple[Literal[1], Union[Literal['a'], Literal['b']]]" case _: reveal_type(m5) # N: Revealed type is "tuple[Literal[2], Union[Literal['a'], Literal['b']]]" m6: Tuple[Literal[1, 2], Literal["a", "b"]] match m6: case (1, "a"): reveal_type(m6) # N: Revealed type is "tuple[Literal[1], Literal['a']]" case _: reveal_type(m6) # N: Revealed type is "tuple[Union[Literal[1], Literal[2]], Union[Literal['a'], Literal['b']]]" [builtins fixtures/tuple.pyi] [case testMatchEnumSingleChoice] from enum import Enum from typing import NoReturn def assert_never(x: NoReturn) -> None: ... class Medal(Enum): gold = 1 def f(m: Medal) -> None: always_assigned: int | None = None match m: case Medal.gold: always_assigned = 1 reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.gold]" case _: assert_never(m) reveal_type(always_assigned) # N: Revealed type is "builtins.int" [builtins fixtures/bool.pyi] [case testMatchLiteralPatternEnumNegativeNarrowing] from enum import Enum class Medal(Enum): gold = 1 silver = 2 bronze = 3 def f(m: Medal) -> int: match m: case Medal.gold: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.gold]" return 0 case _: reveal_type(m) # N: Revealed type is "Union[Literal[__main__.Medal.silver], Literal[__main__.Medal.bronze]]" return 1 def g(m: Medal) -> int: match m: case Medal.gold: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.gold]" return 0 case Medal.silver: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.silver]" return 1 case Medal.bronze: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.bronze]" return 2 [builtins fixtures/enum.pyi] [case testMatchLiteralPatternEnumWithTypedAttribute] from enum import Enum from typing import NoReturn def assert_never(x: NoReturn) -> None: ... class int: def __new__(cls, value: int): pass class Medal(int, Enum): prize: str def __new__(cls, value: int, prize: str) -> Medal: enum = int.__new__(cls, value) enum._value_ = value enum.prize = prize return enum gold = (1, 'cash prize') silver = (2, 'sponsorship') bronze = (3, 'nothing') m: Medal match m: case Medal.gold: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.gold]" case Medal.silver: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.silver]" case Medal.bronze: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.bronze]" case _ as unreachable: assert_never(unreachable) [builtins fixtures/tuple.pyi] [case testMatchLiteralPatternFunctionalEnum] from enum import Enum from typing import NoReturn def assert_never(x: NoReturn) -> None: ... Medal = Enum('Medal', 'gold silver bronze') m: Medal match m: case Medal.gold: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.gold]" case Medal.silver: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.silver]" case Medal.bronze: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.bronze]" case _ as unreachable: assert_never(unreachable) [builtins fixtures/enum.pyi] [case testMatchLiteralPatternEnumCustomEquals-skip] from enum import Enum class Medal(Enum): gold = 1 silver = 2 bronze = 3 def __eq__(self, other) -> bool: ... m: Medal match m: case Medal.gold: reveal_type(m) # N: Revealed type is "Literal[__main__.Medal.gold]" case _: reveal_type(m) # N: Revealed type is "__main__.Medal" [builtins fixtures/enum.pyi] [case testMatchNarrowUsingPatternGuardSpecialCase] def f(x: int | str) -> int: match x: case x if isinstance(x, str): return 0 case int(): return 1 [builtins fixtures/isinstance.pyi] [case testMatchNarrowDownUnionPartially] def f(x: int | str) -> None: match x: case int(): return reveal_type(x) # N: Revealed type is "builtins.str" def g(x: int | str | None) -> None: match x: case int() | None: return reveal_type(x) # N: Revealed type is "builtins.str" def h(x: int | str | None) -> None: match x: case int() | str(): return reveal_type(x) # N: Revealed type is "None" [case testMatchNarrowDownUsingLiteralMatch] from enum import Enum class Medal(Enum): gold = 1 silver = 2 def b1(x: bool) -> None: match x: case True: return reveal_type(x) # N: Revealed type is "Literal[False]" def b2(x: bool) -> None: match x: case False: return reveal_type(x) # N: Revealed type is "Literal[True]" def e1(x: Medal) -> None: match x: case Medal.gold: return reveal_type(x) # N: Revealed type is "Literal[__main__.Medal.silver]" def e2(x: Medal) -> None: match x: case Medal.silver: return reveal_type(x) # N: Revealed type is "Literal[__main__.Medal.gold]" def i(x: int) -> None: match x: case 1: return reveal_type(x) # N: Revealed type is "builtins.int" def s(x: str) -> None: match x: case 'x': return reveal_type(x) # N: Revealed type is "builtins.str" def union(x: str | bool) -> None: match x: case True: return reveal_type(x) # N: Revealed type is "Union[builtins.str, Literal[False]]" [builtins fixtures/tuple.pyi] [case testMatchNarrowDownUnionUsingClassPattern] class Foo: ... class Bar(Foo): ... def test_1(bar: Bar) -> None: match bar: case Foo() as foo: reveal_type(foo) # N: Revealed type is "__main__.Bar" def test_2(bar: Bar | str) -> None: match bar: case Foo() as foo: reveal_type(foo) # N: Revealed type is "__main__.Bar" [case testMatchAssertFalseToSilenceFalsePositives] class C: a: int | str def f(c: C) -> int: match c: case C(a=int()): return 0 case C(a=str()): return 1 case _: assert False def g(c: C) -> int: match c: case C(a=int()): return 0 case C(a=str()): return 1 assert False [case testMatchAsPatternExhaustiveness] def f(x: int | str) -> int: match x: case int() as n: return n case str() as s: return 1 [case testMatchOrPatternExhaustiveness] from typing import NoReturn, Literal def assert_never(x: NoReturn) -> None: ... Color = Literal["blue", "green", "red"] c: Color match c: case "blue": reveal_type(c) # N: Revealed type is "Literal['blue']" case "green" | "notColor": reveal_type(c) # N: Revealed type is "Literal['green']" case _: assert_never(c) # E: Argument 1 to "assert_never" has incompatible type "Literal['red']"; expected "Never" [typing fixtures/typing-typeddict.pyi] [case testMatchAsPatternIntersection-skip] class A: pass class B: pass class C: pass def f(x: A) -> None: match x: case B() as y: reveal_type(y) # N: Revealed type is "__main__." case C() as y: reveal_type(y) # N: Revealed type is "__main__." reveal_type(y) # N: Revealed type is "Union[__main__., __main__.]" [case testMatchWithBreakAndContinue] def f(x: int | str | None) -> None: i = int() while i: match x: case int(): continue case str(): break reveal_type(x) # N: Revealed type is "None" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" [case testMatchNarrowDownWithStarred-skip] from typing import List def f(x: List[int] | int) -> None: match x: case [*y]: reveal_type(y) # N: Revealed type is "builtins.list[builtins.int]" return reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] -- Misc [case testMatchAndWithStatementScope] from m import A, B with A() as x: pass with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass with A() as y: pass with B() as y: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass with A() as z: pass with B() as z: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass with A() as zz: pass with B() as zz: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass match x: case str(y) as z: zz = y [file m.pyi] from typing import Any class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testOverrideMatchArgs] class AST: __match_args__ = () class stmt(AST): ... class AnnAssign(stmt): __match_args__ = ('target', 'annotation', 'value', 'simple') target: str annotation: int value: str simple: int reveal_type(AST.__match_args__) # N: Revealed type is "tuple[()]" reveal_type(stmt.__match_args__) # N: Revealed type is "tuple[()]" reveal_type(AnnAssign.__match_args__) # N: Revealed type is "tuple[Literal['target']?, Literal['annotation']?, Literal['value']?, Literal['simple']?]" AnnAssign.__match_args__ = ('a', 'b', 'c', 'd') # E: Cannot assign to "__match_args__" __match_args__ = 0 def f(x: AST) -> None: match x: case AST(): reveal_type(x) # N: Revealed type is "__main__.AST" match x: case stmt(): reveal_type(x) # N: Revealed type is "__main__.stmt" match x: case AnnAssign(a, b, c, d): reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(b) # N: Revealed type is "builtins.int" reveal_type(c) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testMatchReachableDottedNames] # flags: --warn-unreachable class Consts: BLANK = "" SPECIAL = "asdf" def test_func(test_str: str) -> str: match test_str: case Consts.BLANK: return "blank" case Consts.SPECIAL: return "special" case _: return "other" [case testNoneTypeWarning] from types import NoneType def foo(x: NoneType): # E: NoneType should not be used as a type, please use None instead reveal_type(x) # N: Revealed type is "None" [builtins fixtures/tuple.pyi] [case testMatchTupleInstanceUnionNoCrash] from typing import Union def func(e: Union[str, tuple[str]]) -> None: match e: case (a,) if isinstance(a, str): reveal_type(a) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testMatchTupleOptionalNoCrash] foo: tuple[int] | None match foo: case x,: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testMatchUnionTwoTuplesNoCrash] var: tuple[int, int] | tuple[str, str] # TODO: we can infer better here. match var: case (42, a): reveal_type(a) # N: Revealed type is "Union[builtins.int, builtins.str]" case ("yes", b): reveal_type(b) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testMatchNamedAndKeywordsAreTheSame] from typing import Generic, Final, TypeVar, Union from dataclasses import dataclass T = TypeVar("T") class Regular: x: str y: int __match_args__ = ("x",) class ReversedOrder: x: int y: str __match_args__ = ("y",) class GenericRegular(Generic[T]): x: T __match_args__ = ("x",) class GenericWithFinal(Generic[T]): x: T __match_args__: Final = ("x",) class RegularSubtype(GenericRegular[str]): ... @dataclass class GenericDataclass(Generic[T]): x: T input_arg: Union[ Regular, ReversedOrder, GenericRegular[str], GenericWithFinal[str], RegularSubtype, GenericDataclass[str], ] # Positional: match input_arg: case Regular(a): reveal_type(a) # N: Revealed type is "builtins.str" case ReversedOrder(a): reveal_type(a) # N: Revealed type is "builtins.str" case GenericWithFinal(a): reveal_type(a) # N: Revealed type is "builtins.str" case RegularSubtype(a): reveal_type(a) # N: Revealed type is "builtins.str" case GenericRegular(a): reveal_type(a) # N: Revealed type is "builtins.str" case GenericDataclass(a): reveal_type(a) # N: Revealed type is "builtins.str" # Keywords: match input_arg: case Regular(x=a): reveal_type(a) # N: Revealed type is "builtins.str" case ReversedOrder(x=b): # Order is different reveal_type(b) # N: Revealed type is "builtins.int" case GenericWithFinal(x=a): reveal_type(a) # N: Revealed type is "builtins.str" case RegularSubtype(x=a): reveal_type(a) # N: Revealed type is "builtins.str" case GenericRegular(x=a): reveal_type(a) # N: Revealed type is "builtins.str" case GenericDataclass(x=a): reveal_type(a) # N: Revealed type is "builtins.str" [builtins fixtures/dataclasses.pyi] [case testMatchValueConstrainedTypeVar] from typing import TypeVar, Iterable S = TypeVar("S", int, str) def my_func(pairs: Iterable[tuple[S, S]]) -> None: for pair in pairs: reveal_type(pair) # N: Revealed type is "tuple[builtins.int, builtins.int]" \ # N: Revealed type is "tuple[builtins.str, builtins.str]" match pair: case _: reveal_type(pair) # N: Revealed type is "tuple[builtins.int, builtins.int]" \ # N: Revealed type is "tuple[builtins.str, builtins.str]" [builtins fixtures/tuple.pyi] [case testPossiblyUndefinedMatch] # flags: --enable-error-code possibly-undefined def f0(x: int | str) -> int: match x: case int(): y = 1 return y # E: Name "y" may be undefined def f1(a: object) -> None: match a: case [y]: pass case _: y = 1 x = 2 z = y z = x # E: Name "x" may be undefined def f2(a: object) -> None: match a: case [[y] as x]: pass case {"k1": 1, "k2": x, "k3": y}: pass case [0, *x]: y = 2 case _: y = 1 x = [2] z = x z = y def f3(a: object) -> None: y = 1 match a: case [x]: y = 2 # Note the missing `case _:` z = x # E: Name "x" may be undefined z = y def f4(a: object) -> None: y = 1 match a: case [x]: y = 2 case _: assert False, "unsupported" z = x z = y def f5(a: object) -> None: match a: case tuple(x): pass case _: return y = x def f6(a: object) -> None: if int(): y = 1 match a: case _ if y is not None: # E: Name "y" may be undefined pass [builtins fixtures/tuple.pyi] [case testPossiblyUndefinedMatchUnreachable] # flags: --enable-error-code possibly-undefined import typing def f0(x: int) -> int: match x: case 1 if not typing.TYPE_CHECKING: pass case 2: y = 2 case _: y = 3 return y # No error. def f1(x: int) -> int: match x: case 1 if not typing.TYPE_CHECKING: pass case 2: y = 2 return y # E: Name "y" may be undefined [typing fixtures/typing-medium.pyi] [case testUsedBeforeDefMatchWalrus] # flags: --enable-error-code used-before-def import typing def f0(x: int) -> None: a = y # E: Cannot determine type of "y" # E: Name "y" is used before definition match y := x: case 1: b = y case 2: c = y d = y [case testTypeAliasWithNewUnionSyntaxAndNoneLeftOperand] from typing import overload class C: @overload def __init__(self) -> None: pass @overload def __init__(self, x: int) -> None: pass def __init__(self, x=0): pass class D: pass X = None | C Y = None | D [builtins fixtures/type.pyi] [case testMatchStatementWalrus] class A: a = 1 def returns_a_or_none() -> A | None: return A() def returns_a() -> A: return A() def f() -> None: match x := returns_a_or_none(): case A(): reveal_type(x.a) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[__main__.A, None]" match x := returns_a(): case A(): reveal_type(x.a) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "__main__.A" y = returns_a_or_none() match y: case A(): reveal_type(y.a) # N: Revealed type is "builtins.int" [case testNarrowedVariableInNestedModifiedInMatch] from typing import Optional def match_stmt_error1(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") match object(): case str(x): pass nested() def foo(x): pass def match_stmt_ok1(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x match foo(x): case str(y): z = x nested() def match_stmt_error2(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") match [None]: case [x]: pass nested() def match_stmt_error3(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") match {'a': None}: case {'a': x}: pass nested() def match_stmt_error4(x: Optional[list[str]]) -> None: if x is None: x = ["a"] def nested() -> list[str]: return x # E: Incompatible return value type (got "Optional[list[str]]", expected "list[str]") match ["a"]: case [*x]: pass nested() class C: a: str def match_stmt_error5(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") match C(): case C(a=x): pass nested() [builtins fixtures/tuple.pyi] [case testMatchSubjectRedefinition] # flags: --allow-redefinition def transform1(a: str) -> int: ... def transform2(a: int) -> str: ... def redefinition_good(a: str): a = transform1(a) match (a + 1): case _: ... def redefinition_bad(a: int): a = transform2(a) match (a + 1): # E: Unsupported operand types for + ("str" and "int") case _: ... [builtins fixtures/primitives.pyi] [case testPatternMatchingClassPatternLocation] # See https://github.com/python/mypy/issues/15496 from some_missing_lib import DataFrame, Series # type: ignore[import] from typing import TypeVar T = TypeVar("T", Series, DataFrame) def f(x: T) -> None: match x: case Series() | DataFrame(): # type: ignore[misc] pass def f2(x: T) -> None: match x: case Series(): # type: ignore[misc] pass case DataFrame(): # type: ignore[misc] pass [builtins fixtures/primitives.pyi] [case testMatchGuardReachability] # flags: --warn-unreachable def f1(e: int) -> int: match e: case x if True: return x case _: return 0 # E: Statement is unreachable e = 0 # E: Statement is unreachable def f2(e: int) -> int: match e: case x if bool(): return x case _: return 0 e = 0 # E: Statement is unreachable def f3(e: int | str | bytes) -> int: match e: case x if isinstance(x, int): return x case [x]: return 0 # E: Statement is unreachable case str(x): return 0 reveal_type(e) # N: Revealed type is "builtins.bytes" return 0 def f4(e: int | str | bytes) -> int: match e: case int(x): pass case [x]: return 0 # E: Statement is unreachable case x if isinstance(x, str): return 0 reveal_type(e) # N: Revealed type is "Union[builtins.int, builtins.bytes]" return 0 [builtins fixtures/primitives.pyi] [case testMatchSequencePatternVariadicTupleNotTooShort] from typing import Tuple from typing_extensions import Unpack fm1: Tuple[int, int, Unpack[Tuple[str, ...]], int] match fm1: case [fa1, fb1, fc1]: reveal_type(fa1) # N: Revealed type is "builtins.int" reveal_type(fb1) # N: Revealed type is "builtins.int" reveal_type(fc1) # N: Revealed type is "builtins.int" fm2: Tuple[int, int, Unpack[Tuple[str, ...]], int] match fm2: case [fa2, fb2]: reveal_type(fa2) reveal_type(fb2) fm3: Tuple[int, int, Unpack[Tuple[str, ...]], int] match fm3: case [fa3, fb3, fc3, fd3, fe3]: reveal_type(fa3) # N: Revealed type is "builtins.int" reveal_type(fb3) # N: Revealed type is "builtins.int" reveal_type(fc3) # N: Revealed type is "builtins.str" reveal_type(fd3) # N: Revealed type is "builtins.str" reveal_type(fe3) # N: Revealed type is "builtins.int" m1: Tuple[int, Unpack[Tuple[str, ...]], int] match m1: case [a1, *b1, c1]: reveal_type(a1) # N: Revealed type is "builtins.int" reveal_type(b1) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(c1) # N: Revealed type is "builtins.int" m2: Tuple[int, Unpack[Tuple[str, ...]], int] match m2: case [a2, b2, *c2, d2, e2]: reveal_type(a2) # N: Revealed type is "builtins.int" reveal_type(b2) # N: Revealed type is "builtins.str" reveal_type(c2) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(d2) # N: Revealed type is "builtins.str" reveal_type(e2) # N: Revealed type is "builtins.int" m3: Tuple[int, int, Unpack[Tuple[str, ...]], int, int] match m3: case [a3, *b3, c3]: reveal_type(a3) # N: Revealed type is "builtins.int" reveal_type(b3) # N: Revealed type is "builtins.list[Union[builtins.int, builtins.str]]" reveal_type(c3) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testMatchSequencePatternTypeVarTupleNotTooShort] from typing import Tuple from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") def test(xs: Tuple[Unpack[Ts]]) -> None: fm1: Tuple[int, int, Unpack[Ts], int] match fm1: case [fa1, fb1, fc1]: reveal_type(fa1) # N: Revealed type is "builtins.int" reveal_type(fb1) # N: Revealed type is "builtins.int" reveal_type(fc1) # N: Revealed type is "builtins.int" fm2: Tuple[int, int, Unpack[Ts], int] match fm2: case [fa2, fb2]: reveal_type(fa2) reveal_type(fb2) fm3: Tuple[int, int, Unpack[Ts], int] match fm3: case [fa3, fb3, fc3, fd3, fe3]: reveal_type(fa3) # N: Revealed type is "builtins.int" reveal_type(fb3) # N: Revealed type is "builtins.int" reveal_type(fc3) # N: Revealed type is "builtins.object" reveal_type(fd3) # N: Revealed type is "builtins.object" reveal_type(fe3) # N: Revealed type is "builtins.int" m1: Tuple[int, Unpack[Ts], int] match m1: case [a1, *b1, c1]: reveal_type(a1) # N: Revealed type is "builtins.int" reveal_type(b1) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(c1) # N: Revealed type is "builtins.int" m2: Tuple[int, Unpack[Ts], int] match m2: case [a2, b2, *c2, d2, e2]: reveal_type(a2) # N: Revealed type is "builtins.int" reveal_type(b2) # N: Revealed type is "builtins.object" reveal_type(c2) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(d2) # N: Revealed type is "builtins.object" reveal_type(e2) # N: Revealed type is "builtins.int" m3: Tuple[int, int, Unpack[Ts], int, int] match m3: case [a3, *b3, c3]: reveal_type(a3) # N: Revealed type is "builtins.int" reveal_type(b3) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(c3) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testMatchSequencePatternTypeVarBoundNoCrash] # This was crashing: https://github.com/python/mypy/issues/18089 from typing import TypeVar, Sequence, Any T = TypeVar("T", bound=Sequence[Any]) def f(x: T) -> None: match x: case [_]: pass [builtins fixtures/tuple.pyi] [case testMatchSequencePatternTypeVarBoundNarrows] from typing import TypeVar, Sequence T = TypeVar("T", bound=Sequence[int | str]) def accept_seq_int(x: Sequence[int]): ... def f(x: T) -> None: match x: case [1, 2]: accept_seq_int(x) case _: accept_seq_int(x) # E: Argument 1 to "accept_seq_int" has incompatible type "T"; expected "Sequence[int]" [builtins fixtures/tuple.pyi] [case testNarrowingTypeVarMatch] # flags: --warn-unreachable # https://github.com/python/mypy/issues/18126 from typing import TypeVar T = TypeVar("T") def fn_case(arg: T) -> None: match arg: case None: return None return None [builtins fixtures/primitives.pyi] [case testNoneCheckDoesNotMakeTypeVarOptionalMatch] from typing import TypeVar T = TypeVar('T') def foo(x: T) -> T: out = None out = x match out: case None: pass return out [builtins fixtures/isinstance.pyi] [case testMatchSequenceReachableFromAny] # flags: --warn-unreachable from typing import Any def maybe_list(d: Any) -> int: match d: case []: return 0 case [[_]]: return 1 case [_]: return 1 case _: return 2 def with_guard(d: Any) -> None: match d: case [s] if isinstance(s, str): reveal_type(s) # N: Revealed type is "builtins.str" match d: case (s,) if isinstance(s, str): reveal_type(s) # N: Revealed type is "builtins.str" def nested_in_dict(d: dict[str, Any]) -> int: match d: case {"src": ["src"]}: return 1 case _: return 0 [builtins fixtures/dict.pyi] [case testMatchRebindsOuterFunctionName] # flags: --warn-unreachable from typing import Literal def x() -> tuple[Literal["test"]]: ... match x(): case (x,) if x == "test": # E: Incompatible types in capture pattern (pattern captures type "Literal['test']", variable has type "Callable[[], tuple[Literal['test']]]") reveal_type(x) # N: Revealed type is "def () -> tuple[Literal['test']]" case foo: foo [builtins fixtures/dict.pyi] [case testMatchRebindsInnerFunctionName] # flags: --warn-unreachable class Some: value: int | str __match_args__ = ("value",) def fn1(x: Some | int | str) -> None: match x: case int(): def value(): return 1 reveal_type(value) # N: Revealed type is "def () -> Any" case str(): def value(): return 1 reveal_type(value) # N: Revealed type is "def () -> Any" case Some(value): # E: Incompatible types in capture pattern (pattern captures type "Union[int, str]", variable has type "Callable[[], Any]") pass def fn2(x: Some | int | str) -> None: match x: case int(): def value() -> str: return "" reveal_type(value) # N: Revealed type is "def () -> builtins.str" case str(): def value() -> int: # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def value() -> str \ # N: Redefinition: \ # N: def value() -> int return 1 reveal_type(value) # N: Revealed type is "def () -> builtins.str" case Some(value): # E: Incompatible types in capture pattern (pattern captures type "Union[int, str]", variable has type "Callable[[], str]") pass [builtins fixtures/dict.pyi] [case testMatchFunctionCall] # flags: --warn-unreachable def fn() -> int | str: ... match fn(): case str(s): reveal_type(s) # N: Revealed type is "builtins.str" case int(i): reveal_type(i) # N: Revealed type is "builtins.int" case other: other # E: Statement is unreachable [case testMatchAttribute] # flags: --warn-unreachable class A: foo: int | str match A().foo: case str(s): reveal_type(s) # N: Revealed type is "builtins.str" case int(i): reveal_type(i) # N: Revealed type is "builtins.int" case other: other # E: Statement is unreachable [case testMatchLiteral] # flags: --warn-unreachable def int_literal() -> None: match 12: case 1 as s: reveal_type(s) # N: Revealed type is "Literal[1]" case int(i): reveal_type(i) # N: Revealed type is "Literal[12]?" case other: other # E: Statement is unreachable def str_literal() -> None: match 'foo': case 'a' as s: reveal_type(s) # N: Revealed type is "Literal['a']" case str(i): reveal_type(i) # N: Revealed type is "Literal['foo']?" case other: other # E: Statement is unreachable [case testMatchOperations] # flags: --warn-unreachable x: int match -x: case -1 as s: reveal_type(s) # N: Revealed type is "Literal[-1]" case int(s): reveal_type(s) # N: Revealed type is "builtins.int" case other: other # E: Statement is unreachable match 1 + 2: case 3 as s: reveal_type(s) # N: Revealed type is "Literal[3]" case int(s): reveal_type(s) # N: Revealed type is "builtins.int" case other: other # E: Statement is unreachable match 1 > 2: case True as s: reveal_type(s) # N: Revealed type is "Literal[True]" case False as s: reveal_type(s) # N: Revealed type is "Literal[False]" case other: other # E: Statement is unreachable [builtins fixtures/ops.pyi] [case testMatchDictItem] # flags: --warn-unreachable m: dict[str, int | str] k: str match m[k]: case str(s): reveal_type(s) # N: Revealed type is "builtins.str" case int(i): reveal_type(i) # N: Revealed type is "builtins.int" case other: other # E: Statement is unreachable [builtins fixtures/dict.pyi] [case testMatchLiteralValuePathological] # flags: --warn-unreachable match 0: case 0 as i: reveal_type(i) # N: Revealed type is "Literal[0]?" case int(i): i # E: Statement is unreachable case other: other # E: Statement is unreachable [case testMatchNamedTupleSequence] from typing import Any, NamedTuple class T(NamedTuple): t: list[Any] class K(NamedTuple): k: int def f(t: T) -> None: match t: case T([K() as k]): reveal_type(k) # N: Revealed type is "tuple[builtins.int, fallback=__main__.K]" [builtins fixtures/tuple.pyi] [case testMatchTypeObjectTypeVar] # flags: --warn-unreachable from typing import TypeVar import b T_Choice = TypeVar("T_Choice", bound=b.One | b.Two) def switch(choice: type[T_Choice]) -> None: match choice: case b.One: reveal_type(choice) # N: Revealed type is "def () -> b.One" case b.Two: reveal_type(choice) # N: Revealed type is "def () -> b.Two" case _: reveal_type(choice) # N: Revealed type is "type[T_Choice`-1]" [file b.py] class One: ... class Two: ... [builtins fixtures/tuple.pyi] [case testNewRedefineMatchBasics] # flags: --allow-redefinition-new --local-partial-types def f1(x: int | str | list[bytes]) -> None: match x: case int(): reveal_type(x) # N: Revealed type is "builtins.int" case str(y): reveal_type(y) # N: Revealed type is "builtins.str" case [y]: reveal_type(y) # N: Revealed type is "builtins.bytes" reveal_type(y) # N: Revealed type is "Union[builtins.str, builtins.bytes]" [case testNewRedefineLoopWithMatch] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: while True: x = object() match x: case str(y): pass case int(): pass if int(): continue def f2() -> None: for x in [""]: match str(): case "a": y = "" case "b": y = 1 return reveal_type(y) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [case testExhaustiveMatchNoFlag] a: int = 5 match a: case 1: pass case _: pass b: str = "hello" match b: case "bye": pass case _: pass [case testNonExhaustiveMatchNoFlag] a: int = 5 match a: case 1: pass b: str = "hello" match b: case "bye": pass [case testExhaustiveMatchWithFlag] # flags: --enable-error-code exhaustive-match a: int = 5 match a: case 1: pass case _: pass b: str = "hello" match b: case "bye": pass case _: pass [case testNonExhaustiveMatchWithFlag] # flags: --enable-error-code exhaustive-match a: int = 5 match a: # E: Match statement has unhandled case for values of type "int" \ # N: If match statement is intended to be non-exhaustive, add `case _: pass` case 1: pass b: str = "hello" match b: # E: Match statement has unhandled case for values of type "str" \ # N: If match statement is intended to be non-exhaustive, add `case _: pass` case "bye": pass [case testNonExhaustiveMatchEnumWithFlag] # flags: --enable-error-code exhaustive-match import enum class Color(enum.Enum): RED = 1 BLUE = 2 GREEN = 3 val: Color = Color.RED match val: # E: Match statement has unhandled case for values of type "Literal[Color.GREEN]" \ # N: If match statement is intended to be non-exhaustive, add `case _: pass` case Color.RED: a = "red" case Color.BLUE: a= "blue" [builtins fixtures/enum.pyi] [case testExhaustiveMatchEnumWithFlag] # flags: --enable-error-code exhaustive-match import enum class Color(enum.Enum): RED = 1 BLUE = 2 val: Color = Color.RED match val: case Color.RED: a = "red" case Color.BLUE: a= "blue" [builtins fixtures/enum.pyi] [case testNonExhaustiveMatchEnumMultipleMissingMatchesWithFlag] # flags: --enable-error-code exhaustive-match import enum class Color(enum.Enum): RED = 1 BLUE = 2 GREEN = 3 val: Color = Color.RED match val: # E: Match statement has unhandled case for values of type "Literal[Color.BLUE, Color.GREEN]" \ # N: If match statement is intended to be non-exhaustive, add `case _: pass` case Color.RED: a = "red" [builtins fixtures/enum.pyi] [case testExhaustiveMatchEnumFallbackWithFlag] # flags: --enable-error-code exhaustive-match import enum class Color(enum.Enum): RED = 1 BLUE = 2 GREEN = 3 val: Color = Color.RED match val: case Color.RED: a = "red" case _: a = "other" [builtins fixtures/enum.pyi] # Fork of testMatchNarrowingUnionTypedDictViaIndex to check behaviour with exhaustive match flag [case testExhaustiveMatchNarrowingUnionTypedDictViaIndex] # flags: --enable-error-code exhaustive-match from typing import Literal, TypedDict class A(TypedDict): tag: Literal["a"] name: str class B(TypedDict): tag: Literal["b"] num: int d: A | B match d["tag"]: # E: Match statement has unhandled case for values of type "Literal['b']" \ # N: If match statement is intended to be non-exhaustive, add `case _: pass` \ # E: Match statement has unhandled case for values of type "B" case "a": reveal_type(d) # N: Revealed type is "TypedDict('__main__.A', {'tag': Literal['a'], 'name': builtins.str})" reveal_type(d["name"]) # N: Revealed type is "builtins.str" [typing fixtures/typing-typeddict.pyi] [case testEnumTypeObjectMember] import enum from typing import NoReturn def assert_never(x: NoReturn) -> None: ... class ValueType(enum.Enum): INT = int STR = str value_type: ValueType = ValueType.INT match value_type: case ValueType.INT: pass case ValueType.STR: pass case _: assert_never(value_type) [builtins fixtures/tuple.pyi] [case testAssignmentToFinalInMatchCaseNotAllowed] from typing import Final FOO: Final[int] = 10 val: int = 8 match val: case FOO: # E: Cannot assign to final name "FOO" pass [case testMatchExhaustivenessWithDeferral] # flags: --enable-error-code exhaustive-match from typing import Literal import unknown_module # E: Cannot find implementation or library stub for module named "unknown_module" \ # N: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports def foo(e: Literal[0, 1]) -> None: match e: case 0: defer case 1: ... defer = unknown_module.foo [case testMatchErrorsIncorrectName] class A: pass match 5: case A.blah(): # E: "type[A]" has no attribute "blah" pass [case testMatchAllowsAnyClassArgsForAny] match 5: case BlahBlah(a, b): # E: Name "BlahBlah" is not defined reveal_type(a) # N: Revealed type is "Any" reveal_type(b) # N: Revealed type is "Any" case BlahBlah(c=c): # E: Name "BlahBlah" is not defined reveal_type(c) # N: Revealed type is "Any" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-python311.test0000644000175100017510000002571415112307767020657 0ustar00runnerrunner[case testTryStarSimple] try: pass except* Exception as e: reveal_type(e) # N: Revealed type is "builtins.ExceptionGroup[builtins.Exception]" [builtins fixtures/exception.pyi] [case testTryStarMultiple] try: pass except* Exception as e: reveal_type(e) # N: Revealed type is "builtins.ExceptionGroup[builtins.Exception]" except* RuntimeError as e: reveal_type(e) # N: Revealed type is "builtins.ExceptionGroup[builtins.RuntimeError]" [builtins fixtures/exception.pyi] [case testTryStarBase] try: pass except* BaseException as e: reveal_type(e) # N: Revealed type is "builtins.BaseExceptionGroup[builtins.BaseException]" [builtins fixtures/exception.pyi] [case testTryStarTuple] class Custom(Exception): ... try: pass except* (RuntimeError, Custom) as e: reveal_type(e) # N: Revealed type is "builtins.ExceptionGroup[Union[builtins.RuntimeError, __main__.Custom]]" [builtins fixtures/exception.pyi] [case testTryStarInvalidType] class Bad: ... try: pass except* (RuntimeError, Bad) as e: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) reveal_type(e) # N: Revealed type is "builtins.ExceptionGroup[Any]" [builtins fixtures/exception.pyi] [case testTryStarGroupInvalid] try: pass except* ExceptionGroup as e: # E: Exception type in except* cannot derive from BaseExceptionGroup reveal_type(e) # N: Revealed type is "builtins.ExceptionGroup[Any]" [builtins fixtures/exception.pyi] [case testTryStarGroupInvalidTuple] try: pass except* (RuntimeError, ExceptionGroup) as e: # E: Exception type in except* cannot derive from BaseExceptionGroup reveal_type(e) # N: Revealed type is "builtins.ExceptionGroup[Union[builtins.RuntimeError, Any]]" [builtins fixtures/exception.pyi] [case testBasicTypeVarTupleGeneric] from typing import Generic, TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class Variadic(Generic[Unpack[Ts]]): ... variadic: Variadic[int, str] reveal_type(variadic) # N: Revealed type is "__main__.Variadic[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testAsyncGeneratorWithinComprehension] # flags: --python-version 3.11 from typing import Any, Generator, List async def asynciter(iterable): for x in iterable: yield x async def coro() -> Generator[List[Any], None, None]: return ([i async for i in asynciter([0,j])] for j in [3, 5]) reveal_type(coro) # N: Revealed type is "def () -> typing.Coroutine[Any, Any, typing.Generator[builtins.list[Any], None, None]]" [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [case testTypeVarTupleNewSyntaxAnnotations] Ints = tuple[int, int, int] x: tuple[str, *Ints] reveal_type(x) # N: Revealed type is "tuple[builtins.str, builtins.int, builtins.int, builtins.int]" y: tuple[int, *tuple[int, ...]] reveal_type(y) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.int, ...]]]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleNewSyntaxGenerics] from typing import Generic, TypeVar, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") class C(Generic[T, *Ts]): attr: tuple[int, *Ts, str] def test(self) -> None: reveal_type(self.attr) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`2], builtins.str]" self.attr = ci # E: Incompatible types in assignment (expression has type "C[*tuple[int, ...]]", variable has type "tuple[int, *Ts, str]") def meth(self, *args: *Ts) -> T: ... ci: C[*tuple[int, ...]] reveal_type(ci) # N: Revealed type is "__main__.C[Unpack[builtins.tuple[builtins.int, ...]]]" reveal_type(ci.meth) # N: Revealed type is "def (*args: builtins.int) -> builtins.int" c3: C[str, str, str] reveal_type(c3) # N: Revealed type is "__main__.C[builtins.str, builtins.str, builtins.str]" A = C[int, *Ts] B = tuple[str, *tuple[str, str], str] z: A[*B] reveal_type(z) # N: Revealed type is "__main__.C[builtins.int, builtins.str, builtins.str, builtins.str, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleNewSyntaxCallables] from typing import Generic, overload, TypeVar T1 = TypeVar("T1") T2 = TypeVar("T2") class MyClass(Generic[T1, T2]): @overload def __init__(self: MyClass[None, None]) -> None: ... @overload def __init__(self: MyClass[T1, None], *types: *tuple[type[T1]]) -> None: ... @overload def __init__(self: MyClass[T1, T2], *types: *tuple[type[T1], type[T2]]) -> None: ... def __init__(self: MyClass[T1, T2], *types: *tuple[type, ...]) -> None: pass myclass = MyClass() reveal_type(myclass) # N: Revealed type is "__main__.MyClass[None, None]" myclass1 = MyClass(float) reveal_type(myclass1) # N: Revealed type is "__main__.MyClass[builtins.float, None]" myclass2 = MyClass(float, float) reveal_type(myclass2) # N: Revealed type is "__main__.MyClass[builtins.float, builtins.float]" myclass3 = MyClass(float, float, float) # E: No overload variant of "MyClass" matches argument types "type[float]", "type[float]", "type[float]" \ # N: Possible overload variants: \ # N: def [T1, T2] __init__(self) -> MyClass[None, None] \ # N: def [T1, T2] __init__(self, type[T1], /) -> MyClass[T1, None] \ # N: def [T1, T2] __init__(type[T1], type[T2], /) -> MyClass[T1, T2] reveal_type(myclass3) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testUnpackNewSyntaxInvalidCallableAlias] from typing import Any, Callable, List, Tuple, TypeVar, Unpack T = TypeVar("T") Ts = TypeVarTuple("Ts") # E: Name "TypeVarTuple" is not defined def good(*x: int) -> int: ... def bad(*x: int, y: int) -> int: ... Alias1 = Callable[[*Ts], int] # E: Variable "__main__.Ts" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases x1: Alias1[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(x1) # N: Revealed type is "def (*Any) -> builtins.int" x1 = good x1 = bad # E: Incompatible types in assignment (expression has type "def bad(*x: int, y: int) -> int", variable has type "def (*Any) -> int") Alias2 = Callable[[*T], int] # E: "T" cannot be unpacked (must be tuple or TypeVarTuple) x2: Alias2[int] reveal_type(x2) # N: Revealed type is "def (*Any) -> builtins.int" Unknown = Any Alias3 = Callable[[*Unknown], int] x3: Alias3[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(x3) # N: Revealed type is "def (*Any) -> builtins.int" IntList = List[int] Alias4 = Callable[[*IntList], int] # E: "list[int]" cannot be unpacked (must be tuple or TypeVarTuple) x4: Alias4[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(x4) # N: Revealed type is "def (*Any) -> builtins.int" [builtins fixtures/tuple.pyi] [case testReturnInExceptStarBlock1] # flags: --python-version 3.11 def foo() -> None: try: pass except* Exception: return # E: "return" not allowed in except* block finally: return [builtins fixtures/exception.pyi] [case testReturnInExceptStarBlock2] # flags: --python-version 3.11 def foo(): while True: try: pass except* Exception: while True: return # E: "return" not allowed in except* block [builtins fixtures/exception.pyi] [case testContinueInExceptBlockNestedInExceptStarBlock] # flags: --python-version 3.11 while True: try: ... except* Exception: try: ... except Exception: continue # E: "continue" not allowed in except* block continue # E: "continue" not allowed in except* block [builtins fixtures/exception.pyi] [case testReturnInExceptBlockNestedInExceptStarBlock] # flags: --python-version 3.11 def foo(): try: ... except* Exception: try: ... except Exception: return # E: "return" not allowed in except* block return # E: "return" not allowed in except* block [builtins fixtures/exception.pyi] [case testBreakContinueReturnInExceptStarBlock1] # flags: --python-version 3.11 from typing import Iterable def foo(x: Iterable[int]) -> None: for _ in x: try: pass except* Exception: continue # E: "continue" not allowed in except* block except* Exception: for _ in x: continue break # E: "break" not allowed in except* block except* Exception: return # E: "return" not allowed in except* block [builtins fixtures/exception.pyi] [case testBreakContinueReturnInExceptStarBlock2] # flags: --python-version 3.11 def foo(): while True: try: pass except* Exception: def inner(): while True: if 1 < 1: continue else: break return if 1 < 2: break # E: "break" not allowed in except* block if 1 < 2: continue # E: "continue" not allowed in except* block return # E: "return" not allowed in except* block [builtins fixtures/exception.pyi] [case testLambdaInExceptStarBlock] # flags: --python-version 3.11 def foo(): try: pass except* Exception: x = lambda: 0 return lambda: 0 # E: "return" not allowed in except* block def loop(): while True: try: pass except* Exception: x = lambda: 0 return lambda: 0 # E: "return" not allowed in except* block [builtins fixtures/exception.pyi] [case testRedefineLocalWithinExceptStarTryClauses] # flags: --allow-redefinition def fn_str(_: str) -> int: ... def fn_int(_: int) -> None: ... def fn_exc(_: Exception) -> str: ... def in_block() -> None: try: a = "" a = fn_str(a) # E: Incompatible types in assignment (expression has type "int", variable has type "str") fn_int(a) # E: Argument 1 to "fn_int" has incompatible type "str"; expected "int" except* Exception: b = "" b = fn_str(b) fn_int(b) else: c = "" c = fn_str(c) fn_int(c) finally: d = "" d = fn_str(d) fn_int(d) reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(b) # N: Revealed type is "builtins.int" reveal_type(c) # N: Revealed type is "builtins.int" reveal_type(d) # N: Revealed type is "builtins.int" def across_blocks() -> None: try: a = "" except* Exception: a = fn_str(a) # E: Incompatible types in assignment (expression has type "int", variable has type "str") else: a = fn_str(a) # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type(a) # N: Revealed type is "builtins.str" def exc_name() -> None: try: pass except* RuntimeError as e: e = fn_exc(e) [builtins fixtures/exception.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-python312.test0000644000175100017510000020650215112307767020654 0ustar00runnerrunner[case testPEP695TypeAliasBasic] type MyInt = int def f(x: MyInt) -> MyInt: return reveal_type(x) # N: Revealed type is "builtins.int" type MyList[T] = list[T] def g(x: MyList[int]) -> MyList[int]: return reveal_type(x) # N: Revealed type is "builtins.list[builtins.int]" type MyInt2 = int def h(x: MyInt2) -> MyInt2: return reveal_type(x) # N: Revealed type is "builtins.int" [case testPEP695Class] class MyGen[T]: def __init__(self, x: T) -> None: self.x = x def f(x: MyGen[int]): reveal_type(x.x) # N: Revealed type is "builtins.int" [case testPEP695Function] def f[T](x: T) -> T: return reveal_type(x) # N: Revealed type is "T`-1" reveal_type(f(1)) # N: Revealed type is "builtins.int" async def g[T](x: T) -> T: return reveal_type(x) # N: Revealed type is "T`-1" reveal_type(g(1)) # E: Value of type "Coroutine[Any, Any, int]" must be used \ # N: Are you missing an await? \ # N: Revealed type is "typing.Coroutine[Any, Any, builtins.int]" [case testPEP695TypeVarBasic] from typing import Callable type Alias1[T: int] = list[T] type Alias2[**P] = Callable[P, int] type Alias3[*Ts] = tuple[*Ts] class Cls1[T: int]: ... class Cls2[**P]: ... class Cls3[*Ts]: ... def func1[T: int](x: T) -> T: ... def func2[**P](x: Callable[P, int]) -> Callable[P, str]: ... def func3[*Ts](x: tuple[*Ts]) -> tuple[int, *Ts]: ... [builtins fixtures/tuple.pyi] [case testPEP695TypeAliasType] from typing import Callable, TypeAliasType, TypeVar, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") TestType = TypeAliasType("TestType", int | str) x: TestType = 42 y: TestType = 'a' z: TestType = object() # E: Incompatible types in assignment (expression has type "object", variable has type "Union[int, str]") BadAlias1 = TypeAliasType("BadAlias1", tuple[*Ts]) # E: TypeVarTuple "Ts" is not included in type_params ba1: BadAlias1[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(ba1) # N: Revealed type is "builtins.tuple[Any, ...]" BadAlias2 = TypeAliasType("BadAlias2", Callable[[*Ts], str]) # E: TypeVarTuple "Ts" is not included in type_params ba2: BadAlias2[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(ba2) # N: Revealed type is "def (*Any) -> builtins.str" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695IncompleteFeatureIsAcceptedButHasNoEffect] # mypy: enable-incomplete-feature=NewGenericSyntax def f[T](x: T) -> T: return x reveal_type(f(1)) # N: Revealed type is "builtins.int" [case testPEP695GenericFunctionSyntax] def ident[TV](x: TV) -> TV: y: TV = x y = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "TV") return x reveal_type(ident(1)) # N: Revealed type is "builtins.int" reveal_type(ident('x')) # N: Revealed type is "builtins.str" a: TV # E: Name "TV" is not defined def tup[T, S](x: T, y: S) -> tuple[T, S]: reveal_type((x, y)) # N: Revealed type is "tuple[T`-1, S`-2]" return (x, y) reveal_type(tup(1, 'x')) # N: Revealed type is "tuple[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testPEP695GenericClassSyntax] class C[T]: x: T def __init__(self, x: T) -> None: self.x = x def ident(self, x: T) -> T: y: T = x if int(): return self.x else: return y reveal_type(C("x")) # N: Revealed type is "__main__.C[builtins.str]" c: C[int] = C(1) reveal_type(c.x) # N: Revealed type is "builtins.int" reveal_type(c.ident(1)) # N: Revealed type is "builtins.int" [case testPEP695GenericMethodInGenericClass] class C[T]: def m[S](self, x: S) -> T | S: ... a: C[int] = C[object]() # E: Incompatible types in assignment (expression has type "C[object]", variable has type "C[int]") b: C[object] = C[int]() reveal_type(C[str]().m(1)) # N: Revealed type is "Union[builtins.str, builtins.int]" [case testPEP695InferVarianceSimpleFromMethod] class Invariant[T]: def f(self, x: T) -> None: pass def g(self) -> T | None: return None a: Invariant[object] b: Invariant[int] if int(): a = b # E: Incompatible types in assignment (expression has type "Invariant[int]", variable has type "Invariant[object]") if int(): b = a # E: Incompatible types in assignment (expression has type "Invariant[object]", variable has type "Invariant[int]") class Covariant[T]: def g(self) -> T | None: return None c: Covariant[object] d: Covariant[int] if int(): c = d if int(): d = c # E: Incompatible types in assignment (expression has type "Covariant[object]", variable has type "Covariant[int]") class Contravariant[T]: def f(self, x: T) -> None: pass e: Contravariant[object] f: Contravariant[int] if int(): e = f # E: Incompatible types in assignment (expression has type "Contravariant[int]", variable has type "Contravariant[object]") if int(): f = e [case testPEP695InferVarianceSimpleFromAttribute] class Invariant1[T]: def __init__(self, x: T) -> None: self.x = x a: Invariant1[object] b: Invariant1[int] if int(): a = b # E: Incompatible types in assignment (expression has type "Invariant1[int]", variable has type "Invariant1[object]") if int(): b = a # E: Incompatible types in assignment (expression has type "Invariant1[object]", variable has type "Invariant1[int]") class Invariant2[T]: def __init__(self) -> None: self.x: list[T] = [] a2: Invariant2[object] b2: Invariant2[int] if int(): a2 = b2 # E: Incompatible types in assignment (expression has type "Invariant2[int]", variable has type "Invariant2[object]") if int(): b2 = a2 # E: Incompatible types in assignment (expression has type "Invariant2[object]", variable has type "Invariant2[int]") class Invariant3[T]: def __init__(self) -> None: self.x: T | None = None a3: Invariant3[object] b3: Invariant3[int] if int(): a3 = b3 # E: Incompatible types in assignment (expression has type "Invariant3[int]", variable has type "Invariant3[object]") if int(): b3 = a3 # E: Incompatible types in assignment (expression has type "Invariant3[object]", variable has type "Invariant3[int]") [case testPEP695InferVarianceRecursive] class Invariant[T]: def f(self, x: Invariant[T]) -> Invariant[T]: return x class Covariant[T]: def f(self) -> Covariant[T]: return self class Contravariant[T]: def f(self, x: Contravariant[T]) -> None: pass a: Invariant[object] b: Invariant[int] if int(): a = b # E: Incompatible types in assignment (expression has type "Invariant[int]", variable has type "Invariant[object]") if int(): b = a c: Covariant[object] d: Covariant[int] if int(): c = d if int(): d = c # E: Incompatible types in assignment (expression has type "Covariant[object]", variable has type "Covariant[int]") e: Contravariant[object] f: Contravariant[int] if int(): e = f # E: Incompatible types in assignment (expression has type "Contravariant[int]", variable has type "Contravariant[object]") if int(): f = e [case testPEP695InferVarianceInFrozenDataclass] from dataclasses import dataclass @dataclass(frozen=True) class Covariant[T]: x: T cov1: Covariant[float] = Covariant[int](1) cov2: Covariant[int] = Covariant[float](1) # E: Incompatible types in assignment (expression has type "Covariant[float]", variable has type "Covariant[int]") @dataclass(frozen=True) class Invariant[T]: x: list[T] inv1: Invariant[float] = Invariant[int]([1]) # E: Incompatible types in assignment (expression has type "Invariant[int]", variable has type "Invariant[float]") inv2: Invariant[int] = Invariant[float]([1]) # E: Incompatible types in assignment (expression has type "Invariant[float]", variable has type "Invariant[int]") [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695InferVarianceCalculateOnDemand] class Covariant[T]: def __init__(self) -> None: self.x = [1] def f(self) -> None: c = Covariant[int]() # We need to know that T is covariant here self.g(c) c2 = Covariant[object]() self.h(c2) # E: Argument 1 to "h" of "Covariant" has incompatible type "Covariant[object]"; expected "Covariant[int]" def g(self, x: Covariant[object]) -> None: pass def h(self, x: Covariant[int]) -> None: pass [case testPEP695InferVarianceNotReadyWhenNeeded] class Covariant[T]: def f(self) -> None: c = Covariant[int]() # We need to know that T is covariant here self.g(c) c2 = Covariant[object]() self.h(c2) # E: Argument 1 to "h" of "Covariant" has incompatible type "Covariant[object]"; expected "Covariant[int]" def g(self, x: Covariant[object]) -> None: pass def h(self, x: Covariant[int]) -> None: pass def __init__(self) -> None: self.x = [1] class Invariant[T]: def f(self) -> None: c = Invariant(1) # We need to know that T is invariant here, and for this we need the type # of self.x, which won't be available on the first type checking pass, # since __init__ is defined later in the file. In this case we fall back # covariance. self.g(c) c2 = Invariant(object()) self.h(c2) # E: Argument 1 to "h" of "Invariant" has incompatible type "Invariant[object]"; expected "Invariant[int]" def g(self, x: Invariant[object]) -> None: pass def h(self, x: Invariant[int]) -> None: pass def __init__(self, x: T) -> None: self.x = x # Now we should have the variance correct. a: Invariant[object] b: Invariant[int] if int(): a = b # E: Incompatible types in assignment (expression has type "Invariant[int]", variable has type "Invariant[object]") if int(): b = a # E: Incompatible types in assignment (expression has type "Invariant[object]", variable has type "Invariant[int]") [case testPEP695InferVarianceNotReadyForJoin] class Invariant[T]: def f(self) -> None: # Assume covariance if variance us not ready reveal_type([Invariant(1), Invariant(object())]) \ # N: Revealed type is "builtins.list[__main__.Invariant[builtins.object]]" def __init__(self, x: T) -> None: self.x = x reveal_type([Invariant(1), Invariant(object())]) # N: Revealed type is "builtins.list[builtins.object]" [case testPEP695InferVarianceNotReadyForMeet] from typing import TypeVar, Callable S = TypeVar("S") def c(a: Callable[[S], None], b: Callable[[S], None]) -> S: ... def a1(x: Invariant[int]) -> None: pass def a2(x: Invariant[object]) -> None: pass class Invariant[T]: def f(self) -> None: reveal_type(c(a1, a2)) # N: Revealed type is "__main__.Invariant[builtins.int]" def __init__(self, x: T) -> None: self.x = x reveal_type(c(a1, a2)) # N: Revealed type is "Never" [case testPEP695InferVarianceUnderscorePrefix] class Covariant1[T]: def __init__(self, x: T) -> None: self._x = x @property def x(self) -> T: return self._x co1_1: Covariant1[float] = Covariant1[int](1) co1_2: Covariant1[int] = Covariant1[float](1) # E: Incompatible types in assignment (expression has type "Covariant1[float]", variable has type "Covariant1[int]") class Covariant2[T]: def __init__(self, x: T) -> None: self.__foo_bar = x @property def x(self) -> T: return self.__foo_bar co2_1: Covariant2[float] = Covariant2[int](1) co2_2: Covariant2[int] = Covariant2[float](1) # E: Incompatible types in assignment (expression has type "Covariant2[float]", variable has type "Covariant2[int]") class Invariant1[T]: def __init__(self, x: T) -> None: self._x = x # Methods behave differently from attributes def _f(self, x: T) -> None: ... @property def x(self) -> T: return self._x inv1_1: Invariant1[float] = Invariant1[int](1) # E: Incompatible types in assignment (expression has type "Invariant1[int]", variable has type "Invariant1[float]") inv1_2: Invariant1[int] = Invariant1[float](1) # E: Incompatible types in assignment (expression has type "Invariant1[float]", variable has type "Invariant1[int]") class Invariant2[T]: def __init__(self, x: T) -> None: # Dunders are special self.__x__ = x @property def x(self) -> T: return self.__x__ inv2_1: Invariant2[float] = Invariant2[int](1) # E: Incompatible types in assignment (expression has type "Invariant2[int]", variable has type "Invariant2[float]") inv2_2: Invariant2[int] = Invariant2[float](1) # E: Incompatible types in assignment (expression has type "Invariant2[float]", variable has type "Invariant2[int]") class Invariant3[T]: def __init__(self, x: T) -> None: self._x = Invariant1(x) @property def x(self) -> T: return self._x._x inv3_1: Invariant3[float] = Invariant3[int](1) # E: Incompatible types in assignment (expression has type "Invariant3[int]", variable has type "Invariant3[float]") inv3_2: Invariant3[int] = Invariant3[float](1) # E: Incompatible types in assignment (expression has type "Invariant3[float]", variable has type "Invariant3[int]") [builtins fixtures/property.pyi] [case testPEP695InferVarianceWithInheritedSelf] from typing import overload, Self, TypeVar, Generic T = TypeVar("T") S = TypeVar("S") class C(Generic[T]): def f(self, x: T) -> Self: ... def g(self) -> T: ... class D[T1, T2](C[T1]): def m(self, x: T2) -> None: ... a1: D[int, int] = D[int, object]() a2: D[int, object] = D[int, int]() # E: Incompatible types in assignment (expression has type "D[int, int]", variable has type "D[int, object]") a3: D[int, int] = D[object, object]() # E: Incompatible types in assignment (expression has type "D[object, object]", variable has type "D[int, int]") a4: D[object, int] = D[int, object]() # E: Incompatible types in assignment (expression has type "D[int, object]", variable has type "D[object, int]") [case testPEP695InferVarianceWithReturnSelf] from typing import Self, overload class Cov[T]: def f(self) -> Self: ... a1: Cov[int] = Cov[float]() # E: Incompatible types in assignment (expression has type "Cov[float]", variable has type "Cov[int]") a2: Cov[float] = Cov[int]() class Contra[T]: def f(self) -> Self: ... def g(self, x: T) -> None: ... b1: Contra[int] = Contra[float]() b2: Contra[float] = Contra[int]() # E: Incompatible types in assignment (expression has type "Contra[int]", variable has type "Contra[float]") class Cov2[T]: @overload def f(self, x): ... @overload def f(self) -> Self: ... def f(self, x=None): ... c1: Cov2[int] = Cov2[float]() # E: Incompatible types in assignment (expression has type "Cov2[float]", variable has type "Cov2[int]") c2: Cov2[float] = Cov2[int]() class Contra2[T]: @overload def f(self, x): ... @overload def f(self) -> Self: ... def f(self, x=None): ... def g(self, x: T) -> None: ... d1: Contra2[int] = Contra2[float]() d2: Contra2[float] = Contra2[int]() # E: Incompatible types in assignment (expression has type "Contra2[int]", variable has type "Contra2[float]") [case testPEP695InheritInvariant] class Invariant[T]: x: T class Subclass[T](Invariant[T]): pass x: Invariant[int] y: Invariant[object] if int(): x = y # E: Incompatible types in assignment (expression has type "Invariant[object]", variable has type "Invariant[int]") if int(): y = x # E: Incompatible types in assignment (expression has type "Invariant[int]", variable has type "Invariant[object]") a: Subclass[int] b: Subclass[object] if int(): a = b # E: Incompatible types in assignment (expression has type "Subclass[object]", variable has type "Subclass[int]") if int(): b = a # E: Incompatible types in assignment (expression has type "Subclass[int]", variable has type "Subclass[object]") [case testPEP695InheritanceMakesInvariant] class Covariant[T]: def f(self) -> T: ... class Subclass[T](Covariant[list[T]]): pass x: Covariant[int] = Covariant[object]() # E: Incompatible types in assignment (expression has type "Covariant[object]", variable has type "Covariant[int]") y: Covariant[object] = Covariant[int]() a: Subclass[int] = Subclass[object]() # E: Incompatible types in assignment (expression has type "Subclass[object]", variable has type "Subclass[int]") b: Subclass[object] = Subclass[int]() # E: Incompatible types in assignment (expression has type "Subclass[int]", variable has type "Subclass[object]") [case testPEP695InheritCoOrContravariant] class Contravariant[T]: def f(self, x: T) -> None: pass class CovSubclass[T](Contravariant[T]): pass a: CovSubclass[int] = CovSubclass[object]() b: CovSubclass[object] = CovSubclass[int]() # E: Incompatible types in assignment (expression has type "CovSubclass[int]", variable has type "CovSubclass[object]") class Covariant[T]: def f(self) -> T: ... class CoSubclass[T](Covariant[T]): pass c: CoSubclass[int] = CoSubclass[object]() # E: Incompatible types in assignment (expression has type "CoSubclass[object]", variable has type "CoSubclass[int]") d: CoSubclass[object] = CoSubclass[int]() class InvSubclass[T](Covariant[T]): def g(self, x: T) -> None: pass e: InvSubclass[int] = InvSubclass[object]() # E: Incompatible types in assignment (expression has type "InvSubclass[object]", variable has type "InvSubclass[int]") f: InvSubclass[object] = InvSubclass[int]() # E: Incompatible types in assignment (expression has type "InvSubclass[int]", variable has type "InvSubclass[object]") [case testPEP695FinalAttribute] from typing import Final class C[T]: def __init__(self, x: T) -> None: self.x: Final = x a: C[int] = C[object](1) # E: Incompatible types in assignment (expression has type "C[object]", variable has type "C[int]") b: C[object] = C[int](1) [case testPEP695TwoTypeVariables] class C[T, S]: def f(self, x: T) -> None: ... def g(self) -> S: ... a: C[int, int] = C[object, int]() b: C[object, int] = C[int, int]() # E: Incompatible types in assignment (expression has type "C[int, int]", variable has type "C[object, int]") c: C[int, int] = C[int, object]() # E: Incompatible types in assignment (expression has type "C[int, object]", variable has type "C[int, int]") d: C[int, object] = C[int, int]() [case testPEP695Properties] class R[T]: @property def p(self) -> T: ... class RW[T]: @property def p(self) -> T: ... @p.setter def p(self, x: T) -> None: ... a: R[int] = R[object]() # E: Incompatible types in assignment (expression has type "R[object]", variable has type "R[int]") b: R[object] = R[int]() c: RW[int] = RW[object]() # E: Incompatible types in assignment (expression has type "RW[object]", variable has type "RW[int]") d: RW[object] = RW[int]() # E: Incompatible types in assignment (expression has type "RW[int]", variable has type "RW[object]") [builtins fixtures/property.pyi] [case testPEP695Protocol] from typing import Protocol class PContra[T](Protocol): def f(self, x: T) -> None: ... PContra() # E: Cannot instantiate protocol class "PContra" a: PContra[int] b: PContra[object] if int(): a = b if int(): b = a # E: Incompatible types in assignment (expression has type "PContra[int]", variable has type "PContra[object]") class PCov[T](Protocol): def f(self) -> T: ... PCov() # E: Cannot instantiate protocol class "PCov" c: PCov[int] d: PCov[object] if int(): c = d # E: Incompatible types in assignment (expression has type "PCov[object]", variable has type "PCov[int]") if int(): d = c class PInv[T](Protocol): def f(self, x: T) -> T: ... PInv() # E: Cannot instantiate protocol class "PInv" e: PInv[int] f: PInv[object] if int(): e = f # E: Incompatible types in assignment (expression has type "PInv[object]", variable has type "PInv[int]") if int(): f = e # E: Incompatible types in assignment (expression has type "PInv[int]", variable has type "PInv[object]") [case testPEP695TypeAlias] class C[T]: pass class D[T, S]: pass type A[S] = C[S] a: A[int] reveal_type(a) # N: Revealed type is "__main__.C[builtins.int]" type A2[T] = C[C[T]] a2: A2[str] reveal_type(a2) # N: Revealed type is "__main__.C[__main__.C[builtins.str]]" type A3[T, S] = D[S, C[T]] a3: A3[int, str] reveal_type(a3) # N: Revealed type is "__main__.D[builtins.str, __main__.C[builtins.int]]" type A4 = int | str a4: A4 reveal_type(a4) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/type.pyi] [case testPEP695TypeAliasNotValidAsBaseClass] from typing import TypeAlias import m type A1 = int class Bad1(A1): # E: Type alias defined using "type" statement not valid as base class pass type A2[T] = list[T] class Bad2(A2[int]): # E: Type alias defined using "type" statement not valid as base class pass class Bad3(m.A1): # E: Type alias defined using "type" statement not valid as base class pass class Bad4(m.A2[int]): # E: Type alias defined using "type" statement not valid as base class pass B1 = int B2 = list B3: TypeAlias = int class Good1(B1): pass class Good2(B2[int]): pass class Good3(list[A1]): pass class Good4(list[A2[int]]): pass class Good5(B3): pass [file m.py] type A1 = str type A2[T] = list[T] [typing fixtures/typing-medium.pyi] [case testPEP695TypeAliasWithUnusedTypeParams] type A[T] = int a: A[str] reveal_type(a) # N: Revealed type is "builtins.int" [case testPEP695TypeAliasForwardReference1] type A[T] = C[T] a: A[int] reveal_type(a) # N: Revealed type is "__main__.C[builtins.int]" class C[T]: pass [case testPEP695TypeAliasForwardReference2] type X = C type A = X a: A reveal_type(a) # N: Revealed type is "__main__.C" class C: pass [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeAliasForwardReference3] type X = D type A = C[X] a: A reveal_type(a) # N: Revealed type is "__main__.C[__main__.D]" class C[T]: pass class D: pass [case testPEP695TypeAliasForwardReference4] type A = C class D(A): # E: Type alias defined using "type" statement not valid as base class pass class C: pass x: C = D() y: D = C() # E: Incompatible types in assignment (expression has type "C", variable has type "D") [case testPEP695TypeAliasForwardReference5] type A = str type B[T] = C[T] class C[T]: pass a: A b: B[int] c: C[str] reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(b) # N: Revealed type is "__main__.C[builtins.int]" reveal_type(c) # N: Revealed type is "__main__.C[builtins.str]" [case testPEP695TypeAliasWithUndefineName] type A[T] = XXX # E: Name "XXX" is not defined a: A[int] reveal_type(a) # N: Revealed type is "Any" [case testPEP695TypeAliasInvalidType] type A = int | 1 # E: Invalid type: try using Literal[1] instead? a: A reveal_type(a) # N: Revealed type is "Union[builtins.int, Any]" type B = int + str # E: Invalid type alias: expression is not a valid type b: B reveal_type(b) # N: Revealed type is "Any" [builtins fixtures/type.pyi] [case testPEP695TypeAliasBoundForwardReference] type B[T: Foo] = list[T] class Foo: pass [case testPEP695UpperBound] class D: x: int class E(D): pass class C[T: D]: pass a: C[D] b: C[E] reveal_type(a) # N: Revealed type is "__main__.C[__main__.D]" reveal_type(b) # N: Revealed type is "__main__.C[__main__.E]" c: C[int] # E: Type argument "int" of "C" must be a subtype of "D" def f[T: D](a: T) -> T: reveal_type(a.x) # N: Revealed type is "builtins.int" return a reveal_type(f(D())) # N: Revealed type is "__main__.D" reveal_type(f(E())) # N: Revealed type is "__main__.E" f(1) # E: Value of type variable "T" of "f" cannot be "int" [case testPEP695UpperBoundForwardReference1] class C[T: D]: pass a: C[D] b: C[E] reveal_type(a) # N: Revealed type is "__main__.C[__main__.D]" reveal_type(b) # N: Revealed type is "__main__.C[__main__.E]" c: C[int] # E: Type argument "int" of "C" must be a subtype of "D" class D: pass class E(D): pass [case testPEP695UpperBoundForwardReference2] type A = D class C[T: A]: pass class D: pass class E(D): pass a: C[D] b: C[E] reveal_type(a) # N: Revealed type is "__main__.C[__main__.D]" reveal_type(b) # N: Revealed type is "__main__.C[__main__.E]" c: C[int] # E: Type argument "int" of "C" must be a subtype of "D" [case testPEP695UpperBoundForwardReference3] class D[T]: pass class E[T](D[T]): pass type A = D[X] class C[T: A]: pass class X: pass a: C[D[X]] b: C[E[X]] reveal_type(a) # N: Revealed type is "__main__.C[__main__.D[__main__.X]]" reveal_type(b) # N: Revealed type is "__main__.C[__main__.E[__main__.X]]" c: C[D[int]] # E: Type argument "D[int]" of "C" must be a subtype of "D[X]" [case testPEP695UpperBoundForwardReference4] def f[T: D](a: T) -> T: reveal_type(a.x) # N: Revealed type is "builtins.int" return a class D: x: int class E(D): pass reveal_type(f(D())) # N: Revealed type is "__main__.D" reveal_type(f(E())) # N: Revealed type is "__main__.E" f(1) # E: Value of type variable "T" of "f" cannot be "int" [case testPEP695UpperBoundUndefinedName] class C[T: XX]: # E: Name "XX" is not defined pass a: C[int] def f[T: YY](x: T) -> T: # E: Name "YY" is not defined return x reveal_type(f) # N: Revealed type is "def [T <: Any] (x: T`-1) -> T`-1" [case testPEP695UpperBoundWithMultipleParams] class C[T, S: int]: pass class D[A: int, B]: pass def f[T: int, S: int | str](x: T, y: S) -> T | S: return x C[str, int]() C[str, str]() # E: Value of type variable "S" of "C" cannot be "str" D[int, str]() D[str, str]() # E: Value of type variable "A" of "D" cannot be "str" f(1, 1) u: int | str f(1, u) f('x', None) # E: Value of type variable "T" of "f" cannot be "str" \ # E: Value of type variable "S" of "f" cannot be "None" [case testPEP695InferVarianceOfTupleType] class Cov[T](tuple[int, str]): def f(self) -> T: pass class Cov2[T](tuple[T, T]): pass class Contra[T](tuple[int, str]): def f(self, x: T) -> None: pass a: Cov[object] = Cov[int]() b: Cov[int] = Cov[object]() # E: Incompatible types in assignment (expression has type "Cov[object]", variable has type "Cov[int]") c: Cov2[object] = Cov2[int]() d: Cov2[int] = Cov2[object]() # E: Incompatible types in assignment (expression has type "Cov2[object]", variable has type "Cov2[int]") e: Contra[int] = Contra[object]() f: Contra[object] = Contra[int]() # E: Incompatible types in assignment (expression has type "Contra[int]", variable has type "Contra[object]") [builtins fixtures/tuple-simple.pyi] [case testPEP695ValueRestriction] def f[T: (int, str)](x: T) -> T: reveal_type(x) # N: Revealed type is "builtins.int" \ # N: Revealed type is "builtins.str" return x reveal_type(f(1)) # N: Revealed type is "builtins.int" reveal_type(f('x')) # N: Revealed type is "builtins.str" f(None) # E: Value of type variable "T" of "f" cannot be "None" class C[T: (object, None)]: pass a: C[object] b: C[None] c: C[int] # E: Value of type variable "T" of "C" cannot be "int" [case testPEP695ValueRestrictionForwardReference] class C[T: (int, D)]: def __init__(self, x: T) -> None: a = x if int(): a = 'x' # E: Incompatible types in assignment (expression has type "str", variable has type "int") \ # E: Incompatible types in assignment (expression has type "str", variable has type "D") self.x: T = x reveal_type(C(1).x) # N: Revealed type is "builtins.int" C(None) # E: Value of type variable "T" of "C" cannot be "None" class D: pass C(D()) [case testPEP695ValueRestrictionUndefinedName] class C[T: (int, XX)]: # E: Name "XX" is not defined pass def f[S: (int, YY)](x: S) -> S: # E: Name "YY" is not defined return x [case testPEP695ParamSpec] from typing import Callable def g[**P](f: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: f(*args, **kwargs) f(1, *args, **kwargs) # E: Argument 1 has incompatible type "int"; expected "P.args" def h(x: int, y: str) -> None: pass g(h, 1, y='x') g(h, 1, x=1) # E: "g" gets multiple values for keyword argument "x" \ # E: Missing positional argument "y" in call to "g" class C[**P, T]: def m(self, *args: P.args, **kwargs: P.kwargs) -> T: ... a: C[[int, str], None] reveal_type(a) # N: Revealed type is "__main__.C[[builtins.int, builtins.str], None]" reveal_type(a.m) # N: Revealed type is "def (builtins.int, builtins.str)" [builtins fixtures/tuple.pyi] [case testPEP695ParamSpecTypeAlias] from typing import Callable type C[**P] = Callable[P, int] f: C[[str, int | None]] reveal_type(f) # N: Revealed type is "def (builtins.str, Union[builtins.int, None]) -> builtins.int" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeVarTuple] def f[*Ts](t: tuple[*Ts]) -> tuple[*Ts]: reveal_type(t) # N: Revealed type is "tuple[Unpack[Ts`-1]]" return t reveal_type(f((1, 'x'))) # N: Revealed type is "tuple[Literal[1]?, Literal['x']?]" a: tuple[int, ...] reveal_type(f(a)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" class C[T, *Ts]: pass b: C[int, str, None] reveal_type(b) # N: Revealed type is "__main__.C[builtins.int, builtins.str, None]" c: C[str] reveal_type(c) # N: Revealed type is "__main__.C[builtins.str]" b = c # E: Incompatible types in assignment (expression has type "C[str]", variable has type "C[int, str, None]") [builtins fixtures/tuple.pyi] [case testPEP695TypeVarTupleAlias] from typing import Callable type C[*Ts] = tuple[*Ts, int] a: C[str, None] reveal_type(a) # N: Revealed type is "tuple[builtins.str, None, builtins.int]" [builtins fixtures/tuple.pyi] [case testPEP695IncrementalFunction] import a [file a.py] import b [file a.py.2] import b reveal_type(b.f(1)) reveal_type(b.g(1, 'x')) b.g('x', 'x') b.g(1, 2) [file b.py] def f[T](x: T) -> T: return x def g[T: int, S: (str, None)](x: T, y: S) -> T | S: return x [out2] tmp/a.py:2: note: Revealed type is "builtins.int" tmp/a.py:3: note: Revealed type is "Union[builtins.int, builtins.str]" tmp/a.py:4: error: Value of type variable "T" of "g" cannot be "str" tmp/a.py:5: error: Value of type variable "S" of "g" cannot be "int" [case testPEP695IncrementalClass] import a [file a.py] import b [file a.py.2] from b import C, D x: C[int] reveal_type(x) class N(int): pass class SS(str): pass y1: D[int, str] y2: D[N, str] y3: D[int, None] y4: D[int, None] y5: D[int, SS] # Error y6: D[object, str] # Error [file b.py] class C[T]: pass class D[T: int, S: (str, None)]: pass [out2] tmp/a.py:3: note: Revealed type is "b.C[builtins.int]" tmp/a.py:12: error: Value of type variable "S" of "D" cannot be "SS" tmp/a.py:13: error: Type argument "object" of "D" must be a subtype of "int" [case testPEP695IncrementalParamSpecAndTypeVarTuple] import a [file a.py] import b [file a.py.2] from b import C, D x1: C[()] x2: C[int] x3: C[int, str] y: D[[int, str]] reveal_type(y.m) [file b.py] class C[*Ts]: pass class D[**P]: def m(self, *args: P.args, **kwargs: P.kwargs) -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:6: note: Revealed type is "def (builtins.int, builtins.str)" [case testPEP695IncrementalTypeAlias] import a [file a.py] import b [file a.py.2] from b import A, B a: A reveal_type(a) b: B[int] reveal_type(b) [file b.py] type A = str class Foo[T]: pass type B[T] = Foo[T] [builtins fixtures/tuple.pyi] [out2] tmp/a.py:3: note: Revealed type is "builtins.str" tmp/a.py:5: note: Revealed type is "b.Foo[builtins.int]" [case testPEP695UndefinedNameInGenericFunction] def f[T](x: T) -> T: return unknown() # E: Name "unknown" is not defined class C: def m[T](self, x: T) -> T: return unknown() # E: Name "unknown" is not defined [case testPEP695FunctionTypeVarAccessInFunction] from typing import cast class C: def m[T](self, x: T) -> T: y: T = x reveal_type(y) # N: Revealed type is "T`-1" return cast(T, y) reveal_type(C().m(1)) # N: Revealed type is "builtins.int" [case testPEP695ScopingBasics] T = 1 def f[T](x: T) -> T: T = 'a' reveal_type(T) # N: Revealed type is "builtins.str" return x reveal_type(T) # N: Revealed type is "builtins.int" class C[T]: T = 1.2 reveal_type(T) # N: Revealed type is "builtins.float" reveal_type(T) # N: Revealed type is "builtins.int" [case testPEP695ClassScoping] class C: class D: pass def m[T: D](self, x: T, y: D) -> T: return x C().m(C.D(), C.D()) C().m(1, C.D()) # E: Value of type variable "T" of "m" of "C" cannot be "int" [case testPEP695NestedGenericFunction] def f[T](x: T) -> T: reveal_type(f(x)) # N: Revealed type is "T`-1" reveal_type(f(1)) # N: Revealed type is "builtins.int" def ff(x: T) -> T: y: T = x return y reveal_type(ff(x)) # N: Revealed type is "T`-1" ff(1) # E: Argument 1 to "ff" has incompatible type "int"; expected "T" def g[S](a: S) -> S: ff(a) # E: Argument 1 to "ff" has incompatible type "S"; expected "T" return a reveal_type(g(1)) # N: Revealed type is "builtins.int" reveal_type(g(x)) # N: Revealed type is "T`-1" def h[S](a: S) -> S: return a reveal_type(h(1)) # N: Revealed type is "builtins.int" reveal_type(h(x)) # N: Revealed type is "T`-1" return x [case testPEP695NonLocalAndGlobal] def f() -> None: T = 1 def g[T](x: T) -> T: nonlocal T # E: nonlocal binding not allowed for type parameter "T" T = 'x' # E: "T" is a type variable and only valid in type context return x reveal_type(T) # N: Revealed type is "builtins.int" def g() -> None: a = 1 def g[T](x: T) -> T: nonlocal a a = 'x' # E: Incompatible types in assignment (expression has type "str", variable has type "int") return x x = 1 def h[T](a: T) -> T: global x x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") return a class C[T]: def m[S](self, a: S) -> S: global x x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") return a [case testPEP695ArgumentDefault] from typing import cast def f[T]( x: T = T # E: Name "T" is not defined \ # E: Incompatible default for argument "x" (default has type "TypeVar", argument has type "T") ) -> T: return x def g[T](x: T = cast(T, None)) -> T: # E: Name "T" is not defined return x class C: def m[T](self, x: T = cast(T, None)) -> T: # E: Name "T" is not defined return x [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695ListComprehension] from typing import cast def f[T](x: T) -> T: b = [cast(T, a) for a in [1, 2]] reveal_type(b) # N: Revealed type is "builtins.list[T`-1]" return x [case testPEP695ReuseNameInSameScope] class C[T]: def m[S](self, x: S, y: T) -> S | T: return x def m2[S](self, x: S, y: T) -> S | T: return x class D[T]: pass def f[T](x: T) -> T: return x def g[T](x: T) -> T: def nested[S](y: S) -> S: return y def nested2[S](y: S) -> S: return y return x [case testPEP695NestedScopingSpecialCases] # This is adapted from PEP 695 S = 0 def outer1[S]() -> None: S = 1 T = 1 def outer2[T]() -> None: def inner1() -> None: nonlocal S nonlocal T # E: nonlocal binding not allowed for type parameter "T" def inner2() -> None: global S [case testPEP695ScopingWithBaseClasses] # This is adapted from PEP 695 class Outer: class Private: pass # If the type parameter scope was like a traditional scope, # the base class 'Private' would not be accessible here. class Inner[T](Private, list[T]): pass # Likewise, 'Inner' would not be available in these type annotations. def method1[T](self, a: Inner[T]) -> Inner[T]: return a [case testPEP695RedefineTypeParameterInScope] class C[T]: def m[T](self, x: T) -> T: # E: "T" already defined as a type parameter return x def m2(self) -> None: def nested[T](x: T) -> T: # E: "T" already defined as a type parameter return x def f[S, S](x: S) -> S: # E: "S" already defined as a type parameter return x [case testPEP695TypeVarNameClashNoCrashForwardReference] # https://github.com/python/mypy/issues/18507 from typing import TypeVar T = TypeVar("T", bound=Foo) # E: Name "Foo" is used before definition class Foo: ... class Bar[T]: ... [case testPEP695TypeVarNameClashNoCrashDeferredSymbol] # https://github.com/python/mypy/issues/19526 T = Unknown # E: Name "Unknown" is not defined class Foo[T]: ... class Bar[*T]: ... class Baz[**T]: ... [builtins fixtures/tuple.pyi] [case testPEP695TypeVarNameClashTypeAlias] type Tb = object type Ta[Tb] = 'B[Tb]' class A[Ta]: ... class B[Tb](A[Ta]): ... [case testPEP695TypeVarNameClashStarImport] # Similar to # https://github.com/python/mypy/issues/19946 import a [file a.py] from b import * class Foo[T]: ... [file b.py] from a import * class Bar[T]: ... [builtins fixtures/tuple.pyi] [case testPEP695ClassDecorator] from typing import Any T = 0 def decorator(x: str) -> Any: ... @decorator(T) # E: Argument 1 to "decorator" has incompatible type "int"; expected "str" class C[T]: pass [case testPEP695RecursiceTypeAlias] type A = str | list[A] a: A reveal_type(a) # N: Revealed type is "Union[builtins.str, builtins.list[...]]" class C[T]: pass type B[T] = C[T] | list[B[T]] b: B[int] reveal_type(b) # N: Revealed type is "Union[__main__.C[builtins.int], builtins.list[...]]" [builtins fixtures/type.pyi] [case testPEP695BadRecursiveTypeAlias] type A = A # E: Cannot resolve name "A" (possible cyclic definition) type B = B | int # E: Invalid recursive alias: a union item of itself a: A reveal_type(a) # N: Revealed type is "Any" b: B reveal_type(b) # N: Revealed type is "Any" [builtins fixtures/type.pyi] [typing fixtures/typing-full.pyi] [case testPEP695RecursiveTypeAliasForwardReference] def f(a: A) -> None: if isinstance(a, str): reveal_type(a) # N: Revealed type is "builtins.str" else: reveal_type(a) # N: Revealed type is "__main__.C[Union[builtins.str, __main__.C[...]]]" type A = str | C[A] class C[T]: pass f('x') f(C[str]()) f(C[C[str]]()) f(1) # E: Argument 1 to "f" has incompatible type "int"; expected "A" f(C[int]()) # E: Argument 1 to "f" has incompatible type "C[int]"; expected "A" [builtins fixtures/isinstance.pyi] [case testPEP695InvalidGenericOrProtocolBaseClass] from typing import Generic, Protocol, TypeVar S = TypeVar("S") class C[T](Generic[T]): # E: Generic[...] base class is redundant pass class C2[T](Generic[S]): # E: Generic[...] base class is redundant pass a: C[int] b: C2[int, str] class P[T](Protocol[T]): # E: No arguments expected for "Protocol" base class pass class P2[T](Protocol[S]): # E: No arguments expected for "Protocol" base class pass [case testPEP695CannotUseTypeVarFromOuterClass] class ClassG[V]: # This used to crash class ClassD[T: dict[str, V]]: # E: Name "V" is not defined ... [builtins fixtures/dict.pyi] [case testPEP695MixNewAndOldStyleGenerics] from typing import TypeVar S = TypeVar("S") U = TypeVar("U") def f[T](x: T, y: S) -> T | S: ... # E: All type parameters should be declared ("S" not declared) def g[T](x: S, y: U) -> T | S | U: ... # E: All type parameters should be declared ("S", "U" not declared) def h[S: int](x: S) -> S: a: int = x return x class C[T]: def m[X, S](self, x: S, y: U) -> X | S | U: ... # E: All type parameters should be declared ("U" not declared) def m2(self, x: T, y: S) -> T | S: ... class D[T](C[S]): # E: All type parameters should be declared ("S" not declared) pass [case testPEP695MixNewAndOldStyleTypeVarTupleAndParamSpec] from typing import TypeVarTuple, ParamSpec, Callable Ts = TypeVarTuple("Ts") P = ParamSpec("P") def f[T](x: T, f: Callable[P, None] # E: All type parameters should be declared ("P" not declared) ) -> Callable[P, T]: ... def g[T](x: T, f: tuple[*Ts] # E: All type parameters should be declared ("Ts" not declared) ) -> tuple[T, *Ts]: ... [builtins fixtures/tuple.pyi] [case testPEP695MixNewAndOldStyleGenericsInTypeAlias] from typing import TypeVar, ParamSpec, TypeVarTuple, Callable T = TypeVar("T") Ts = TypeVarTuple("Ts") P = ParamSpec("P") type A = list[T] # E: All type parameters should be declared ("T" not declared) a: A[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(a) # N: Revealed type is "builtins.list[Any]" type B = tuple[*Ts] # E: All type parameters should be declared ("Ts" not declared) type C = Callable[P, None] # E: All type parameters should be declared ("P" not declared) [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695NonGenericAliasToGenericClass] class C[T]: pass type A = C x: C y: A reveal_type(x) # N: Revealed type is "__main__.C[Any]" reveal_type(y) # N: Revealed type is "__main__.C[Any]" z: A[int] # E: Bad number of arguments for type alias, expected 0, given 1 [case testPEP695SelfType] from typing import Self class C: @classmethod def m[T](cls, x: T) -> tuple[Self, T]: return cls(), x class D(C): pass reveal_type(C.m(1)) # N: Revealed type is "tuple[__main__.C, builtins.int]" reveal_type(D.m(1)) # N: Revealed type is "tuple[__main__.D, builtins.int]" class E[T]: def m(self) -> Self: return self def mm[S](self, x: S) -> tuple[Self, S]: return self, x class F[T](E[T]): pass reveal_type(E[int]().m()) # N: Revealed type is "__main__.E[builtins.int]" reveal_type(E[int]().mm(b'x')) # N: Revealed type is "tuple[__main__.E[builtins.int], builtins.bytes]" reveal_type(F[str]().m()) # N: Revealed type is "__main__.F[builtins.str]" reveal_type(F[str]().mm(b'x')) # N: Revealed type is "tuple[__main__.F[builtins.str], builtins.bytes]" [builtins fixtures/tuple.pyi] [case testPEP695CallAlias] class C: def __init__(self, x: str) -> None: ... type A = C class D[T]: pass type B[T] = D[T] reveal_type(A) # N: Revealed type is "typing.TypeAliasType" reveal_type(B) # N: Revealed type is "typing.TypeAliasType" reveal_type(B[int]) # N: Revealed type is "typing.TypeAliasType" A(1) # E: "TypeAliasType" not callable B[int]() # E: "TypeAliasType" not callable A2 = C B2 = D A2(1) # E: Argument 1 to "C" has incompatible type "int"; expected "str" B2[int]() [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695IncrementalTypeAliasKinds] import a [file a.py] from b import A [file a.py.2] from b import A, B, C A() B() C() [file b.py] from typing_extensions import TypeAlias type A = int B = int C: TypeAlias = int [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [out2] tmp/a.py:2: error: "TypeAliasType" not callable [case testPEP695TypeAliasBoundAndValueChecking] from typing import Any, cast class C: pass class D(C): pass type A[T: C] = list[T] a1: A reveal_type(a1) # N: Revealed type is "builtins.list[Any]" a2: A[Any] a3: A[C] a4: A[D] a5: A[object] # E: Type argument "object" of "A" must be a subtype of "C" a6: A[int] # E: Type argument "int" of "A" must be a subtype of "C" x1 = cast(A[C], a1) x2 = cast(A[None], a1) # E: Type argument "None" of "A" must be a subtype of "C" type A2[T: (int, C)] = list[T] b1: A2 reveal_type(b1) # N: Revealed type is "builtins.list[Any]" b2: A2[Any] b3: A2[int] b4: A2[C] b5: A2[D] # E: Value of type variable "T" of "A2" cannot be "D" b6: A2[object] # E: Value of type variable "T" of "A2" cannot be "object" list[A2[int]]() list[A2[None]]() # E: Invalid type argument value for "A2" class N(int): pass type A3[T: C, S: (int, str)] = T | S c1: A3[C, int] c2: A3[D, str] c3: A3[C, N] # E: Value of type variable "S" of "A3" cannot be "N" c4: A3[int, str] # E: Type argument "int" of "A3" must be a subtype of "C" [builtins fixtures/type.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeAliasInClassBodyOrFunction] class C: type A = int type B[T] = list[T] | None a: A b: B[str] def method(self) -> None: v: C.A reveal_type(v) # N: Revealed type is "builtins.int" reveal_type(C.a) # N: Revealed type is "builtins.int" reveal_type(C.b) # N: Revealed type is "Union[builtins.list[builtins.str], None]" C.A = str # E: Incompatible types in assignment (expression has type "type[str]", variable has type "TypeAliasType") x: C.A y: C.B[int] reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "Union[builtins.list[builtins.int], None]" def f() -> None: type A = int type B[T] = list[T] | None a: A reveal_type(a) # N: Revealed type is "builtins.int" def g() -> None: b: B[int] reveal_type(b) # N: Revealed type is "Union[builtins.list[builtins.int], None]" class D: def __init__(self) -> None: type A = int self.a: A = 0 type B[T] = list[T] self.b: B[int] = [1] reveal_type(D().a) # N: Revealed type is "builtins.int" reveal_type(D().b) # N: Revealed type is "builtins.list[builtins.int]" class E[T]: type X = list[T] # E: All type parameters should be declared ("T" not declared) def __init__(self) -> None: type A = list[T] # E: All type parameters should be declared ("T" not declared) self.a: A reveal_type(E[str]().a) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/type.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeAliasInvalidGenericConstraint] class A[T]: class a[S: (int, list[T])]: pass # E: Name "T" is not defined type b[S: (int, list[T])] = S # E: TypeVar constraint type cannot be parametrized by type variables def c[S: (int, list[T])](self) -> None: ... # E: TypeVar constraint type cannot be parametrized by type variables [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeAliasUnboundTypeVarConstraint] from typing import TypeVar T = TypeVar("T") class a[S: (int, list[T])]: pass # E: Type variable "__main__.T" is unbound \ # N: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) \ # N: (Hint: Use "T" in function signature to bind "T" inside a function) type b[S: (int, list[T])] = S # E: Type variable "__main__.T" is unbound \ # N: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) \ # N: (Hint: Use "T" in function signature to bind "T" inside a function) def c[S: (int, list[T])](self) -> None: ... # E: Type variable "__main__.T" is unbound \ # N: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) \ # N: (Hint: Use "T" in function signature to bind "T" inside a function) [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695RedefineAsTypeAlias1] class C: pass type C = int # E: Name "C" already defined on line 1 A = 0 type A = str # E: Name "A" already defined on line 4 reveal_type(A) # N: Revealed type is "builtins.int" [case testPEP695RedefineAsTypeAlias2] from m import D type D = int # E: Name "D" already defined (possibly by an import) a: D reveal_type(a) # N: Revealed type is "m.D" [file m.py] class D: pass [case testPEP695RedefineAsTypeAlias3] D = list["Forward"] type D = int # E: Name "D" already defined on line 1 Forward = str x: D reveal_type(x) # N: Revealed type is "builtins.list[builtins.str]" [case testPEP695MultiDefinitionsForTypeAlias] if int(): type A[T] = list[T] else: type A[T] = str # E: Name "A" already defined on line 2 x: T # E: Name "T" is not defined a: A[int] reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" [case testPEP695UndefinedNameInAnnotation] def f[T](x: foobar, y: T) -> T: ... # E: Name "foobar" is not defined reveal_type(f) # N: Revealed type is "def [T] (x: Any, y: T`-1) -> T`-1" [case testPEP695WrongNumberOfConstrainedTypes] type A[T: ()] = list[T] # E: Type variable must have at least two constrained types a: A[int] reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" type B[T: (int,)] = list[T] # E: Type variable must have at least two constrained types b: B[str] reveal_type(b) # N: Revealed type is "builtins.list[builtins.str]" [case testPEP695UsingTypeVariableInOwnBoundOrConstraint] type A[T: list[T]] = str # E: Name "T" is not defined type B[S: (list[S], str)] = str # E: Name "S" is not defined type C[T, S: list[T]] = str # E: Name "T" is not defined def f[T: T](x: T) -> T: ... # E: Name "T" is not defined class D[T: T]: # E: Name "T" is not defined pass [case testPEP695InvalidType] def f[T: 1](x: T) -> T: ... # E: Invalid type: try using Literal[1] instead? class C[T: (int, (1 + 2))]: pass # E: Invalid type comment or annotation type A = list[1] # E: Invalid type: try using Literal[1] instead? type B = (1 + 2) # E: Invalid type alias: expression is not a valid type a: A reveal_type(a) # N: Revealed type is "builtins.list[Any]" b: B reveal_type(b) # N: Revealed type is "Any" [case testPEP695GenericNamedTuple] from typing import NamedTuple # Invariant because of the signature of the generated _replace method class N[T](NamedTuple): x: T y: int a: N[object] reveal_type(a.x) # N: Revealed type is "builtins.object" b: N[int] reveal_type(b.x) # N: Revealed type is "builtins.int" if int(): a = b # E: Incompatible types in assignment (expression has type "N[int]", variable has type "N[object]") if int(): b = a # E: Incompatible types in assignment (expression has type "N[object]", variable has type "N[int]") class M[T: (int, str)](NamedTuple): x: T c: M[int] d: M[str] e: M[bool] # E: Value of type variable "T" of "M" cannot be "bool" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695GenericTypedDict] from typing import TypedDict class D[T](TypedDict): x: T y: int class E[T: str](TypedDict): x: T y: int a: D[object] reveal_type(a["x"]) # N: Revealed type is "builtins.object" b: D[int] reveal_type(b["x"]) # N: Revealed type is "builtins.int" c: E[str] d: E[int] # E: Type argument "int" of "E" must be a subtype of "str" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testCurrentClassWorksAsBound] from typing import Protocol class Comparable[T: Comparable](Protocol): def compare(self, other: T) -> bool: ... class Good: def compare(self, other: Good) -> bool: ... x: Comparable[Good] y: Comparable[int] # E: Type argument "int" of "Comparable" must be a subtype of "Comparable[Any]" [case testPEP695TypeAliasWithDifferentTargetTypes] import types # We need GenericAlias from here, and test stubs don't bring in 'types' from typing import Any, Callable, List, Literal, TypedDict # Test that various type expressions don't generate false positives as type alias # values, as they are type checked as expressions. There is a similar test case in # pythoneval.test that uses typeshed stubs. class C[T]: pass class TD(TypedDict): x: int type A1 = type[int] type A2 = type[int] | None type A3 = None | type[int] type A4 = type[Any] type B1[**P, R] = Callable[P, R] | None type B2[**P, R] = None | Callable[P, R] type B3 = Callable[[str], int] type B4 = Callable[..., int] type C1 = A1 | None type C2 = None | A1 type D1 = Any | None type D2 = None | Any type E1 = List[int] type E2 = List[int] | None type E3 = None | List[int] type F1 = Literal[1] type F2 = Literal['x'] | None type F3 = None | Literal[True] type G1 = tuple[int, Any] type G2 = tuple[int, Any] | None type G3 = None | tuple[int, Any] type H1 = TD type H2 = TD | None type H3 = None | TD type I1 = C[int] type I2 = C[Any] | None type I3 = None | C[TD] [builtins fixtures/type.pyi] [typing fixtures/typing-full.pyi] [case testTypedDictInlineYesNewStyleAlias] # flags: --enable-incomplete-feature=InlineTypedDict type X[T] = {"item": T, "other": X[T] | None} x: X[str] reveal_type(x) # N: Revealed type is "TypedDict({'item': builtins.str, 'other': Union[..., None]})" if x["other"] is not None: reveal_type(x["other"]["item"]) # N: Revealed type is "builtins.str" type Y[T] = {"item": T, **Y[T]} # E: Overwriting TypedDict field "item" while merging [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testPEP695UsingIncorrectExpressionsInTypeVariableBound] type X[T: (yield 1)] = Any # E: Yield expression cannot be used as a type variable bound type Y[T: (yield from [])] = Any # E: Yield expression cannot be used as a type variable bound type Z[T: (a := 1)] = Any # E: Named expression cannot be used as a type variable bound type K[T: (await 1)] = Any # E: Await expression cannot be used as a type variable bound type XNested[T: (1 + (yield 1))] = Any # E: Yield expression cannot be used as a type variable bound type YNested[T: (1 + (yield from []))] = Any # E: Yield expression cannot be used as a type variable bound type ZNested[T: (1 + (a := 1))] = Any # E: Named expression cannot be used as a type variable bound type KNested[T: (1 + (await 1))] = Any # E: Await expression cannot be used as a type variable bound class FooX[T: (yield 1)]: pass # E: Yield expression cannot be used as a type variable bound class FooY[T: (yield from [])]: pass # E: Yield expression cannot be used as a type variable bound class FooZ[T: (a := 1)]: pass # E: Named expression cannot be used as a type variable bound class FooK[T: (await 1)]: pass # E: Await expression cannot be used as a type variable bound class FooXNested[T: (1 + (yield 1))]: pass # E: Yield expression cannot be used as a type variable bound class FooYNested[T: (1 + (yield from []))]: pass # E: Yield expression cannot be used as a type variable bound class FooZNested[T: (1 + (a := 1))]: pass # E: Named expression cannot be used as a type variable bound class FooKNested[T: (1 + (await 1))]: pass # E: Await expression cannot be used as a type variable bound def foox[T: (yield 1)](): pass # E: Yield expression cannot be used as a type variable bound def fooy[T: (yield from [])](): pass # E: Yield expression cannot be used as a type variable bound def fooz[T: (a := 1)](): pass # E: Named expression cannot be used as a type variable bound def fook[T: (await 1)](): pass # E: Await expression cannot be used as a type variable bound def foox_nested[T: (1 + (yield 1))](): pass # E: Yield expression cannot be used as a type variable bound def fooy_nested[T: (1 + (yield from []))](): pass # E: Yield expression cannot be used as a type variable bound def fooz_nested[T: (1 + (a := 1))](): pass # E: Named expression cannot be used as a type variable bound def fook_nested[T: (1 +(await 1))](): pass # E: Await expression cannot be used as a type variable bound [case testPEP695UsingIncorrectExpressionsInTypeAlias] type X = (yield 1) # E: Yield expression cannot be used within a type alias type Y = (yield from []) # E: Yield expression cannot be used within a type alias type Z = (a := 1) # E: Named expression cannot be used within a type alias type K = (await 1) # E: Await expression cannot be used within a type alias type XNested = (1 + (yield 1)) # E: Yield expression cannot be used within a type alias type YNested = (1 + (yield from [])) # E: Yield expression cannot be used within a type alias type ZNested = (1 + (a := 1)) # E: Named expression cannot be used within a type alias type KNested = (1 + (await 1)) # E: Await expression cannot be used within a type alias [case testPEP695TypeAliasAndAnnotated] from typing_extensions import Annotated, Annotated as _Annotated import typing_extensions as t def ann(*args): ... type A = Annotated[int, ann()] type B = Annotated[int | str, ann((1, 2))] type C = _Annotated[int, ann()] type D = t.Annotated[str, ann()] x: A y: B z: C zz: D reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(z) # N: Revealed type is "builtins.int" reveal_type(zz) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testPEP695NestedGenericClass1] class C[T]: def f(self) -> T: ... class A: class B[Q]: def __init__(self, a: Q) -> None: self.a = a def f(self) -> Q: return self.a def g(self, x: Q) -> None: ... b: B[str] x: A.B[int] x.g("x") # E: Argument 1 to "g" of "B" has incompatible type "str"; expected "int" reveal_type(x.a) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "__main__.A.B[builtins.int]" reveal_type(A.b) # N: Revealed type is "__main__.A.B[builtins.str]" [case testPEP695NestedGenericClass2] class A: def m(self) -> None: class B[T]: def f(self) -> T: ... x: B[int] reveal_type(x.f()) # N: Revealed type is "builtins.int" self.a = B[str]() reveal_type(A().a) # N: Revealed type is "__main__.B@3[builtins.str]" reveal_type(A().a.f()) # N: Revealed type is "builtins.str" [case testPEP695NestedGenericClass3] class C[T]: def f(self) -> T: ... class D[S]: x: T # E: Name "T" is not defined def g(self) -> S: ... a: C[int] reveal_type(a.f()) # N: Revealed type is "builtins.int" b: C.D[str] reveal_type(b.g()) # N: Revealed type is "builtins.str" class E[T]: class F[T]: # E: "T" already defined as a type parameter x: T c: E.F[int] [case testPEP695NestedGenericClass4] class A: class B[T]: def __get__(self, instance: A, owner: type[A]) -> T: return None # E: Incompatible return value type (got "None", expected "T") f = B[int]() a = A() v = a.f [case testPEP695VarianceInheritedFromBaseWithExplicitVariance] from typing import TypeVar, Generic T = TypeVar("T") class ParentInvariant(Generic[T]): pass class Invariant1[T](ParentInvariant[T]): pass a1: Invariant1[int] = Invariant1[float]() # E: Incompatible types in assignment (expression has type "Invariant1[float]", variable has type "Invariant1[int]") a2: Invariant1[float] = Invariant1[int]() # E: Incompatible types in assignment (expression has type "Invariant1[int]", variable has type "Invariant1[float]") T_contra = TypeVar("T_contra", contravariant=True) class ParentContravariant(Generic[T_contra]): pass class Contravariant[T](ParentContravariant[T]): pass b1: Contravariant[int] = Contravariant[float]() b2: Contravariant[float] = Contravariant[int]() # E: Incompatible types in assignment (expression has type "Contravariant[int]", variable has type "Contravariant[float]") class Invariant2[T](ParentContravariant[T]): def f(self) -> T: ... c1: Invariant2[int] = Invariant2[float]() # E: Incompatible types in assignment (expression has type "Invariant2[float]", variable has type "Invariant2[int]") c2: Invariant2[float] = Invariant2[int]() # E: Incompatible types in assignment (expression has type "Invariant2[int]", variable has type "Invariant2[float]") class Multi[T, S](ParentInvariant[T], ParentContravariant[S]): pass d1: Multi[int, str] = Multi[float, str]() # E: Incompatible types in assignment (expression has type "Multi[float, str]", variable has type "Multi[int, str]") d2: Multi[float, str] = Multi[int, str]() # E: Incompatible types in assignment (expression has type "Multi[int, str]", variable has type "Multi[float, str]") d3: Multi[str, int] = Multi[str, float]() d4: Multi[str, float] = Multi[str, int]() # E: Incompatible types in assignment (expression has type "Multi[str, int]", variable has type "Multi[str, float]") [case testPEP695MultipleNestedGenericClass1] # flags: --enable-incomplete-feature=NewGenericSyntax class A: class B: class C: class D[Q]: def g(self, x: Q): ... d: D[str] x: A.B.C.D[int] x.g('a') # E: Argument 1 to "g" of "D" has incompatible type "str"; expected "int" reveal_type(x) # N: Revealed type is "__main__.A.B.C.D[builtins.int]" reveal_type(A.B.C.d) # N: Revealed type is "__main__.A.B.C.D[builtins.str]" [case testPEP695MultipleNestedGenericClass2] # flags: --enable-incomplete-feature=NewGenericSyntax class A: class B: def m(self) -> None: class C[T]: def f(self) -> T: ... x: C[int] reveal_type(x.f()) # N: Revealed type is "builtins.int" self.a = C[str]() reveal_type(A().B().a) # N: Revealed type is "__main__.C@5[builtins.str]" [case testPEP695MultipleNestedGenericClass3] # flags: --enable-incomplete-feature=NewGenericSyntax class A: class C[T]: def f(self) -> T: ... class D[S]: x: T # E: Name "T" is not defined def g(self) -> S: ... a: A.C[int] reveal_type(a.f()) # N: Revealed type is "builtins.int" b: A.C.D[str] reveal_type(b.g()) # N: Revealed type is "builtins.str" class B: class E[T]: class F[T]: # E: "T" already defined as a type parameter x: T c: B.E.F[int] [case testPEP695MultipleNestedGenericClass4] # flags: --enable-incomplete-feature=NewGenericSyntax class Z: class A: class B[T]: def __get__(self, instance: Z.A, owner: type[Z.A]) -> T: return None # E: Incompatible return value type (got "None", expected "T") f = B[int]() a = Z.A() v = a.f [case testPEP695MultipleNestedGenericClass5] # flags: --enable-incomplete-feature=NewGenericSyntax from a.b.c import d x: d.D.E.F.G[int] x.g('a') # E: Argument 1 to "g" of "G" has incompatible type "str"; expected "int" reveal_type(x) # N: Revealed type is "a.b.c.d.D.E.F.G[builtins.int]" reveal_type(d.D.E.F.d) # N: Revealed type is "a.b.c.d.D.E.F.G[builtins.str]" [file a/b/c/d.py] class D: class E: class F: class G[Q]: def g(self, x: Q): ... d: G[str] [case testTypeAliasNormalization] from collections.abc import Callable from typing import Unpack from typing_extensions import TypeAlias type RK_function_args = tuple[float, int] type RK_functionBIS = Callable[[Unpack[RK_function_args], int], int] def ff(a: float, b: int, c: int) -> int: return 2 bis: RK_functionBIS = ff res: int = bis(1.0, 2, 3) [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeAliasNotReadyClass] class CustomizeResponse: related_resources: "ResourceRule" class ResourceRule: pass class DecoratorController: type CustomizeResponse = CustomizeResponse x: DecoratorController.CustomizeResponse reveal_type(x.related_resources) # N: Revealed type is "__main__.ResourceRule" [builtins fixtures/tuple.pyi] [case testPEP695TypeAliasRecursiveOuterClass] class A: type X = X # E: Cannot resolve name "X" (possible cyclic definition) class X: ... class AA: XX = XX # OK, we allow this as a special case. class XX: ... class Y: ... class B: type Y = Y reveal_type(AA.XX) # N: Revealed type is "def () -> __main__.XX" y: B.Y reveal_type(y) # N: Revealed type is "__main__.Y" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeAliasRecursiveInvalid] type X = X # E: Cannot resolve name "X" (possible cyclic definition) type Z = Z[int] # E: Cannot resolve name "Z" (possible cyclic definition) def foo() -> None: type X = X # OK, refers to outer (invalid) X x: X reveal_type(x) # N: Revealed type is "Any" type Y = Y # E: Cannot resolve name "Y" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope class Z: ... # E: Name "Z" already defined on line 2 [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695MultipleUnpacksInBareApplicationNoCrash] # https://github.com/python/mypy/issues/18856 class A[*Ts]: ... A[*tuple[int, ...], *tuple[int, ...]] # E: More than one variadic Unpack in a type is not allowed A[*tuple[*tuple[int, ...]], *tuple[*tuple[int, ...]]] # E: More than one variadic Unpack in a type is not allowed a: A[*tuple[int, ...], *tuple[int, ...]] # E: More than one variadic Unpack in a type is not allowed def foo(a: A[*tuple[int, ...], *tuple[int, ...]]): ... # E: More than one variadic Unpack in a type is not allowed tuple[*tuple[int, ...], *tuple[int, ...]] # E: More than one variadic Unpack in a type is not allowed b: tuple[*tuple[int, ...], *tuple[int, ...]] # E: More than one variadic Unpack in a type is not allowed [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testForwardNestedPrecedesForwardGlobal] from typing import NewType class W[T]: pass class R: class M(W[Action.V], type): FOO = R.Action.V(0) class Action(metaclass=M): V = NewType('V', int) class Action: pass [case testPEP695TypeVarConstraintsDefaultAliases] from typing import Generic from typing_extensions import TypeVar type K = int type V = int type L = list[int] T1 = TypeVar("T1", str, K, default=K) T2 = TypeVar("T2", str, K, default=V) T3 = TypeVar("T3", str, L, default=L) class A1(Generic[T1]): x: T1 class A2(Generic[T2]): x: T2 class A3(Generic[T3]): x: T3 reveal_type(A1().x) # N: Revealed type is "builtins.int" reveal_type(A2().x) # N: Revealed type is "builtins.int" reveal_type(A3().x) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/tuple.pyi] [case testDataclassWithTypeVarTuple] # flags: --python-version 3.13 # https://github.com/python/mypy/issues/19559 from typing import Callable from dataclasses import dataclass @dataclass class Test[*Ts, R]: a: Callable[[*Ts], R] [builtins fixtures/dict.pyi] [case testPEP695AliasDoesNotReferToFullname] # https://github.com/python/mypy/issues/19698 from typing import TypeAliasType type D = dict type T = type type TA = TypeAliasType D() # E: "TypeAliasType" not callable X = TA("Y") # E: "TypeAliasType" not callable x: object if T(x) is str: # E: "TypeAliasType" not callable reveal_type(x) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeAliasForwardReferenceInUnusedTypeVar] # https://discuss.python.org/t/103305 type Alias1[T: "A"] = int type Alias2[T: ("A", int)] = int class A: ... x1: Alias1[A] # ok x2: Alias2[A] # ok [case testUndefinedUnpackInPEP696Base] # Typo below is intentional. class MyTuple[*Ts](tuple[*TS]): # E: Name "TS" is not defined ... x: MyTuple[int, str] reveal_type(x[0]) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testAnnotatedWithCallableAsParameterTypeKeyword] from typing_extensions import Annotated def something() -> None: ... type A = list[Annotated[str, something()]] a: A reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/tuple.pyi] [case testAnnotatedWithCallableAsParameterTypeKeywordDeeper] from typing_extensions import Annotated def something() -> None: ... type A = list[Annotated[Annotated[str, something()], something()]] a: A reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/tuple.pyi] [case testPEP695TypeAliasRecursiveInParameterBound] from typing import Any type A1[T: B1] = list[int] type B1 = None | A1[B1] x1: A1[B1] y1: A1[int] # E: Type argument "int" of "A1" must be a subtype of "B1" z1: A1[None] type A2[T: B2] = list[T] type B2 = None | A2[Any] x2: A2[B2] y2: A2[int] # E: Type argument "int" of "A2" must be a subtype of "B2" z2: A2[None] type A3[T: B3] = list[T] type B3 = None | A3[B3] x3: A3[B3] y3: A3[int] # E: Type argument "int" of "A3" must be a subtype of "B3" z3: A3[None] [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeAliasRecursiveTupleUnionNoCrash] from collections.abc import Hashable type HashableArg = int | tuple[Hashable | HashableArg] x: HashableArg reveal_type(x) # N: Revealed type is "Union[builtins.int, tuple[Union[typing.Hashable, ...]]]" if isinstance(x, tuple): y, = x reveal_type(y) # N: Revealed type is "Union[typing.Hashable, Union[builtins.int, tuple[Union[typing.Hashable, ...]]]]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-python313.test0000644000175100017510000003607315112307767020661 0ustar00runnerrunner[case testPEP695TypeParameterDefaultSupported] class C[T = None]: ... def f[T = list[int]]() -> None: ... def g[**P = [int, str]]() -> None: ... type A[T, S = int, U = str] = list[T] [case testPEP695TypeParameterDefaultBasic] from typing import Callable def f1[T1 = int](a: T1) -> list[T1]: ... reveal_type(f1) # N: Revealed type is "def [T1 = builtins.int] (a: T1`-1 = builtins.int) -> builtins.list[T1`-1 = builtins.int]" def f2[**P1 = [int, str]](a: Callable[P1, None]) -> Callable[P1, None]: ... reveal_type(f2) # N: Revealed type is "def [P1 = [builtins.int, builtins.str]] (a: def (*P1.args, **P1.kwargs)) -> def (*P1.args, **P1.kwargs)" def f3[*Ts1 = *tuple[int, str]](a: tuple[*Ts1]) -> tuple[*Ts1]: ... reveal_type(f3) # N: Revealed type is "def [Ts1 = Unpack[tuple[builtins.int, builtins.str]]] (a: tuple[Unpack[Ts1`-1 = Unpack[tuple[builtins.int, builtins.str]]]]) -> tuple[Unpack[Ts1`-1 = Unpack[tuple[builtins.int, builtins.str]]]]" class ClassA1[T1 = int]: ... class ClassA2[**P1 = [int, str]]: ... class ClassA3[*Ts1 = *tuple[int, str]]: ... reveal_type(ClassA1) # N: Revealed type is "def [T1 = builtins.int] () -> __main__.ClassA1[T1`1 = builtins.int]" reveal_type(ClassA2) # N: Revealed type is "def [P1 = [builtins.int, builtins.str]] () -> __main__.ClassA2[P1`1 = [builtins.int, builtins.str]]" reveal_type(ClassA3) # N: Revealed type is "def [Ts1 = Unpack[tuple[builtins.int, builtins.str]]] () -> __main__.ClassA3[Unpack[Ts1`1 = Unpack[tuple[builtins.int, builtins.str]]]]" [builtins fixtures/tuple.pyi] [case testPEP695TypeParameterDefaultValid] from typing import Any class ClassT1[T = int]: ... class ClassT2[T: float = int]: ... class ClassT3[T: list[Any] = list[int]]: ... class ClassT4[T: (int, str) = int]: ... class ClassP1[**P = []]: ... class ClassP2[**P = ...]: ... class ClassP3[**P = [int, str]]: ... class ClassTs1[*Ts = *tuple[int]]: ... class ClassTs2[*Ts = *tuple[int, ...]]: ... [builtins fixtures/tuple.pyi] [case testPEP695TypeParameterDefaultInvalid] class ClassT1[T = 2]: ... # E: TypeVar "default" must be a type class ClassT2[T = [int]]: ... # E: Bracketed expression "[...]" is not valid as a type \ # N: Did you mean "List[...]"? \ # E: TypeVar "default" must be a type class ClassT3[T: str = int]: ... # E: TypeVar default must be a subtype of the bound type class ClassT4[T: list[str] = list[int]]: ... # E: TypeVar default must be a subtype of the bound type class ClassT5[T: (int, str) = bytes]: ... # E: TypeVar default must be one of the constraint types class ClassT6[T: (int, str) = int | str]: ... # E: TypeVar default must be one of the constraint types class ClassT7[T: (float, str) = int]: ... # E: TypeVar default must be one of the constraint types class ClassP1[**P = int]: ... # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec class ClassP2[**P = 2]: ... # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec class ClassP3[**P = (2, int)]: ... # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec class ClassP4[**P = [2, int]]: ... # E: Argument 0 of ParamSpec default must be a type class ClassTs1[*Ts = 2]: ... # E: The default argument to TypeVarTuple must be an Unpacked tuple class ClassTs2[*Ts = int]: ... # E: The default argument to TypeVarTuple must be an Unpacked tuple class ClassTs3[*Ts = tuple[int]]: ... # E: The default argument to TypeVarTuple must be an Unpacked tuple [builtins fixtures/tuple.pyi] [case testPEP695TypeParameterDefaultInvalid2] from typing import overload def f1[T = 2]() -> None: ... # E: TypeVar "default" must be a type def f2[T = [int]]() -> None: ... # E: Bracketed expression "[...]" is not valid as a type \ # N: Did you mean "List[...]"? \ # E: TypeVar "default" must be a type def f3[T: str = int](x: T) -> T: ... # E: TypeVar default must be a subtype of the bound type def f4[T: list[str] = list[int]](x: T) -> T: ... # E: TypeVar default must be a subtype of the bound type def f5[T: (int, str) = bytes](x: T) -> T: ... # E: TypeVar default must be one of the constraint types def f6[T: (int, str) = int | str](x: T) -> T: ... # E: TypeVar default must be one of the constraint types def f7[T: (float, str) = int](x: T) -> T: ... # E: TypeVar default must be one of the constraint types def f8[T: str = int]() -> None: ... # TODO check unused TypeVars @overload def f9[T: str = int](x: T) -> T: ... # E: TypeVar default must be a subtype of the bound type @overload def f9[T: (int, str) = bytes](x: T) -> T: ... # E: TypeVar default must be one of the constraint types def f9() -> None: ... # type: ignore[misc] def g1[**P = int]() -> None: ... # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec def g2[**P = 2]() -> None: ... # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec def g3[**P = (2, int)]() -> None: ... # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec def g4[**P = [2, int]]() -> None: ... # E: Argument 0 of ParamSpec default must be a type def h1[*Ts = 2]() -> None: ... # E: The default argument to TypeVarTuple must be an Unpacked tuple def h2[*Ts = int]() -> None: ... # E: The default argument to TypeVarTuple must be an Unpacked tuple def h3[*Ts = tuple[int]]() -> None: ... # E: The default argument to TypeVarTuple must be an Unpacked tuple [builtins fixtures/tuple.pyi] [case testPEP695TypeParameterDefaultInvalid3] from typing import Callable type TA1[T: str = 1] = list[T] # E: TypeVar "default" must be a type type TA2[T: str = [int]] = list[T] # E: Bracketed expression "[...]" is not valid as a type \ # N: Did you mean "List[...]"? \ # E: TypeVar "default" must be a type type TA3[T: str = int] = list[T] # E: TypeVar default must be a subtype of the bound type type TA4[T: list[str] = list[int]] = list[T] # E: TypeVar default must be a subtype of the bound type type TA5[T: (int, str) = bytes] = list[T] # E: TypeVar default must be one of the constraint types type TA6[T: (int, str) = int | str] = list[T] # E: TypeVar default must be one of the constraint types type TA7[T: (float, str) = int] = list[T] # E: TypeVar default must be one of the constraint types type TB1[**P = int] = Callable[P, None] # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec type TB2[**P = 2] = Callable[P, None] # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec type TB3[**P = (2, int)] = Callable[P, None] # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec type TB4[**P = [2, int]] = Callable[P, None] # E: Argument 0 of ParamSpec default must be a type type TC1[*Ts = 2] = tuple[*Ts] # E: The default argument to TypeVarTuple must be an Unpacked tuple type TC2[*Ts = int] = tuple[*Ts] # E: The default argument to TypeVarTuple must be an Unpacked tuple type TC3[*Ts = tuple[int]] = tuple[*Ts] # E: The default argument to TypeVarTuple must be an Unpacked tuple [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeParameterDefaultFunctions] from typing import Callable def callback1(x: str) -> None: ... def func_a1[T = str](x: int | T) -> T: ... reveal_type(func_a1(2)) # N: Revealed type is "builtins.str" reveal_type(func_a1(2.1)) # N: Revealed type is "builtins.float" def func_a2[T = str](x: int | T) -> list[T]: ... reveal_type(func_a2(2)) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(func_a2(2.1)) # N: Revealed type is "builtins.list[builtins.float]" def func_a3[T: str = str](x: int | T) -> T: ... reveal_type(func_a3(2)) # N: Revealed type is "builtins.str" def func_a4[T: (bytes, str) = str](x: int | T) -> T: ... reveal_type(func_a4(2)) # N: Revealed type is "builtins.str" def func_b1[**P = [int, str]](x: int | Callable[P, None]) -> Callable[P, None]: ... reveal_type(func_b1(callback1)) # N: Revealed type is "def (x: builtins.str)" reveal_type(func_b1(2)) # N: Revealed type is "def (builtins.int, builtins.str)" def func_c1[*Ts = *tuple[int, str]](x: int | Callable[[*Ts], None]) -> tuple[*Ts]: ... # reveal_type(func_c1(callback1)) # Revealed type is "Tuple[str]" # TODO reveal_type(func_c1(2)) # N: Revealed type is "tuple[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testPEP695TypeParameterDefaultClass1] # flags: --disallow-any-generics class ClassA1[T2 = int, T3 = str]: ... def func_a1( a: ClassA1, b: ClassA1[float], c: ClassA1[float, float], d: ClassA1[float, float, float], # E: "ClassA1" expects between 0 and 2 type arguments, but 3 given ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassA1[builtins.int, builtins.str]" reveal_type(b) # N: Revealed type is "__main__.ClassA1[builtins.float, builtins.str]" reveal_type(c) # N: Revealed type is "__main__.ClassA1[builtins.float, builtins.float]" reveal_type(d) # N: Revealed type is "__main__.ClassA1[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testPEP695TypeParameterDefaultClass2] # flags: --disallow-any-generics class ClassB1[**P2 = [int, str], **P3 = ...]: ... def func_b1( a: ClassB1, b: ClassB1[[float]], c: ClassB1[[float], [float]], d: ClassB1[[float], [float], [float]], # E: "ClassB1" expects between 0 and 2 type arguments, but 3 given ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], ...]" reveal_type(b) # N: Revealed type is "__main__.ClassB1[[builtins.float], ...]" reveal_type(c) # N: Revealed type is "__main__.ClassB1[[builtins.float], [builtins.float]]" reveal_type(d) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], ...]" k = ClassB1() reveal_type(k) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], [*Any, **Any]]" l = ClassB1[[float]]() reveal_type(l) # N: Revealed type is "__main__.ClassB1[[builtins.float], [*Any, **Any]]" m = ClassB1[[float], [float]]() reveal_type(m) # N: Revealed type is "__main__.ClassB1[[builtins.float], [builtins.float]]" n = ClassB1[[float], [float], [float]]() # E: Type application has too many types (expected between 0 and 2) reveal_type(n) # N: Revealed type is "Any" [case testPEP695TypeParameterDefaultClass3] # flags: --disallow-any-generics class ClassC1[*Ts = *tuple[int, str]]: ... def func_c1( a: ClassC1, b: ClassC1[float], ) -> None: # reveal_type(a) # Revealed type is "__main__.ClassC1[builtins.int, builtins.str]" # TODO reveal_type(b) # N: Revealed type is "__main__.ClassC1[builtins.float]" k = ClassC1() reveal_type(k) # N: Revealed type is "__main__.ClassC1[builtins.int, builtins.str]" l = ClassC1[float]() reveal_type(l) # N: Revealed type is "__main__.ClassC1[builtins.float]" [builtins fixtures/tuple.pyi] [case testPEP695TypeParameterDefaultTypeAlias1] # flags: --disallow-any-generics type TA1[T2 = int, T3 = str] = dict[T2, T3] def func_a1( a: TA1, b: TA1[float], c: TA1[float, float], d: TA1[float, float, float], # E: Bad number of arguments for type alias, expected between 0 and 2, given 3 ) -> None: reveal_type(a) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" reveal_type(b) # N: Revealed type is "builtins.dict[builtins.float, builtins.str]" reveal_type(c) # N: Revealed type is "builtins.dict[builtins.float, builtins.float]" reveal_type(d) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeParameterDefaultTypeAlias2] # flags: --disallow-any-generics class ClassB1[**P2, **P3]: ... type TB1[**P2 = [int, str], **P3 = ...] = ClassB1[P2, P3] def func_b1( a: TB1, b: TB1[[float]], c: TB1[[float], [float]], d: TB1[[float], [float], [float]], # E: Bad number of arguments for type alias, expected between 0 and 2, given 3 ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], [*Any, **Any]]" reveal_type(b) # N: Revealed type is "__main__.ClassB1[[builtins.float], [*Any, **Any]]" reveal_type(c) # N: Revealed type is "__main__.ClassB1[[builtins.float], [builtins.float]]" reveal_type(d) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], [*Any, **Any]]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeParameterDefaultTypeAlias3] # flags: --disallow-any-generics type TC1[*Ts = *tuple[int, str]] = tuple[*Ts] def func_c1( a: TC1, b: TC1[float], ) -> None: # reveal_type(a) # Revealed type is "Tuple[builtins.int, builtins.str]" # TODO reveal_type(b) # N: Revealed type is "tuple[builtins.float]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testPEP695TypeParameterDefaultTypeAlias4] # flags: --disallow-any-generics class A[L = int, M = str]: ... TD1 = A[float] type TD2 = A[float] def func_d1( a: TD1, b: TD1[float], # E: Bad number of arguments for type alias, expected 0, given 1 c: TD2, d: TD2[float], # E: Bad number of arguments for type alias, expected 0, given 1 ) -> None: reveal_type(a) # N: Revealed type is "__main__.A[builtins.float, builtins.str]" reveal_type(b) # N: Revealed type is "__main__.A[builtins.float, builtins.str]" reveal_type(c) # N: Revealed type is "__main__.A[builtins.float, builtins.str]" reveal_type(d) # N: Revealed type is "__main__.A[builtins.float, builtins.str]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testTypeVarConstraintsDefaultAliasesInline] type K = int type V = int class A1[T: (str, int) = K]: x: T class A2[T: (str, K) = K]: x: T class A3[T: (str, K) = V]: x: T reveal_type(A1().x) # N: Revealed type is "builtins.int" reveal_type(A2().x) # N: Revealed type is "builtins.int" reveal_type(A3().x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testTypeVarDefaultToAnotherTypeVar] class A[X, Y = X, Z = Y]: x: X y: Y z: Z a1: A[int] reveal_type(a1.x) # N: Revealed type is "builtins.int" reveal_type(a1.y) # N: Revealed type is "builtins.int" # TODO: this must reveal `int` as well: reveal_type(a1.z) # N: Revealed type is "X`1" a2: A[int, str] reveal_type(a2.x) # N: Revealed type is "builtins.int" reveal_type(a2.y) # N: Revealed type is "builtins.str" reveal_type(a2.z) # N: Revealed type is "builtins.str" a3: A[int, str, bool] reveal_type(a3.x) # N: Revealed type is "builtins.int" reveal_type(a3.y) # N: Revealed type is "builtins.str" reveal_type(a3.z) # N: Revealed type is "builtins.bool" [builtins fixtures/tuple.pyi] [case testTypeVarDefaultToAnotherTypeVarWrong] class A[Y = X, X = int]: ... # E: Name "X" is not defined class B[Y = X]: ... # E: Name "X" is not defined [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-python314.test0000644000175100017510000000023015112307767020644 0ustar00runnerrunner[case testTemplateString] reveal_type(t"mypy") # E: PEP 750 template strings are not yet supported \ # N: Revealed type is "Any" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-python38.test0000644000175100017510000005750715112307767020612 0ustar00runnerrunner[case testDecoratedClassLine] def d(c): ... @d class C: ... class C: ... # E: Name "C" already defined on line 4 [case testDecoratedFunctionLine] # flags: --disallow-untyped-defs def d(f): ... # type: ignore @d def f(): ... # E: Function is missing a return type annotation \ # N: Use "-> None" if function does not return a value [case testIgnoreDecoratedFunction1] # flags: --disallow-untyped-defs --warn-unused-ignores def d(f): ... # type: ignore @d # type: ignore # E: Unused "type: ignore" comment def f(): ... # type: ignore [case testIgnoreDecoratedFunction2] # flags: --disallow-untyped-defs def d(f): ... # type: ignore @d def f(): ... # type: ignore [case testIgnoreScopeIssue1032] def f(a: int): ... f( 1, 2, ) # type: ignore [case testIgnoreScopeNested1] def g(x: str) -> str: ... def f(a: int) -> int: ... f( f( g( "IGNORE" ) # type: ignore ) ) [case testIgnoreScopeNested2] [ "IGNORE" # type: ignore & "IGNORE", ] [builtins fixtures/list.pyi] [case testIgnoreScopeNested3] { "IGNORE" | # type: ignore "IGNORE", } [builtins fixtures/set.pyi] [case testIgnoreScopeNested4] { None: "IGNORE" ^ "IGNORE", # type: ignore } [builtins fixtures/dict.pyi] [case testIgnoreScopeNestedNonOverlapping] def f(x: int): ... def g(x: int): ... ( f("ERROR"), # E: Argument 1 to "f" has incompatible type "str"; expected "int" g("IGNORE"), # type: ignore f("ERROR"), # E: Argument 1 to "f" has incompatible type "str"; expected "int" ) [builtins fixtures/tuple.pyi] [case testIgnoreScopeNestedOverlapping] def f(x: int): ... def g(x: int): ... ( f("ERROR"), g( # E: Argument 1 to "f" has incompatible type "str"; expected "int" "IGNORE" # type: ignore ), f("ERROR"), # E: Argument 1 to "f" has incompatible type "str"; expected "int" ) [builtins fixtures/tuple.pyi] [case testIgnoreScopeUnused1] # flags: --warn-unused-ignores ( # type: ignore # E: Unused "type: ignore" comment "IGNORE" # type: ignore # E: Unused "type: ignore" comment + # type: ignore # E: Unused "type: ignore" comment 0 # type: ignore ) # type: ignore # E: Unused "type: ignore" comment [builtins fixtures/primitives.pyi] [case testIgnoreScopeUnused2] # flags: --warn-unused-ignores ( # type: ignore # E: Unused "type: ignore" comment "IGNORE" - # type: ignore 0 # type: ignore # E: Unused "type: ignore" comment ) # type: ignore # E: Unused "type: ignore" comment [case testIgnoreScopeUnused3] # flags: --warn-unused-ignores ( # type: ignore # E: Unused "type: ignore" comment "IGNORE" / 0 # type: ignore ) # type: ignore # E: Unused "type: ignore" comment [case testPEP570ArgTypesMissing] # flags: --disallow-untyped-defs def f(arg, /) -> None: ... # E: Function is missing a type annotation for one or more arguments [case testPEP570ArgTypesBadDefault] def f(arg: int = "ERROR", /) -> None: ... # E: Incompatible default for argument "arg" (default has type "str", argument has type "int") [case testPEP570ArgTypesDefault] def f(arg: int = 0, /) -> None: reveal_type(arg) # N: Revealed type is "builtins.int" [case testPEP570ArgTypesRequired] def f(arg: int, /) -> None: reveal_type(arg) # N: Revealed type is "builtins.int" [case testPEP570Required] def f(arg: int, /) -> None: ... # N: "f" defined here f(1) f("ERROR") # E: Argument 1 to "f" has incompatible type "str"; expected "int" f(arg=1) # E: Unexpected keyword argument "arg" for "f" f(arg="ERROR") # E: Unexpected keyword argument "arg" for "f" [case testPEP570Default] def f(arg: int = 0, /) -> None: ... # N: "f" defined here f() f(1) f("ERROR") # E: Argument 1 to "f" has incompatible type "str"; expected "int" f(arg=1) # E: Unexpected keyword argument "arg" for "f" f(arg="ERROR") # E: Unexpected keyword argument "arg" for "f" [case testPEP570Calls] # flags: --no-strict-optional from typing import Any, Dict def f(p, /, p_or_kw, *, kw) -> None: ... # N: "f" defined here d = None # type: Dict[Any, Any] f(0, 0, 0) # E: Too many positional arguments for "f" f(0, 0, kw=0) f(0, p_or_kw=0, kw=0) f(p=0, p_or_kw=0, kw=0) # E: Unexpected keyword argument "p" for "f" f(0, **d) f(**d) # E: Missing positional argument "p_or_kw" in call to "f" [builtins fixtures/dict.pyi] [case testPEP570Signatures1] def f(p1: bytes, p2: float, /, p_or_kw: int, *, kw: str) -> None: reveal_type(p1) # N: Revealed type is "builtins.bytes" reveal_type(p2) # N: Revealed type is "builtins.float" reveal_type(p_or_kw) # N: Revealed type is "builtins.int" reveal_type(kw) # N: Revealed type is "builtins.str" [case testPEP570Signatures2] def f(p1: bytes, p2: float = 0.0, /, p_or_kw: int = 0, *, kw: str) -> None: reveal_type(p1) # N: Revealed type is "builtins.bytes" reveal_type(p2) # N: Revealed type is "builtins.float" reveal_type(p_or_kw) # N: Revealed type is "builtins.int" reveal_type(kw) # N: Revealed type is "builtins.str" [case testPEP570Signatures3] def f(p1: bytes, p2: float = 0.0, /, *, kw: int) -> None: reveal_type(p1) # N: Revealed type is "builtins.bytes" reveal_type(p2) # N: Revealed type is "builtins.float" reveal_type(kw) # N: Revealed type is "builtins.int" [case testPEP570Signatures4] def f(p1: bytes, p2: int = 0, /) -> None: reveal_type(p1) # N: Revealed type is "builtins.bytes" reveal_type(p2) # N: Revealed type is "builtins.int" [case testPEP570Signatures5] def f(p1: bytes, p2: float, /, p_or_kw: int) -> None: reveal_type(p1) # N: Revealed type is "builtins.bytes" reveal_type(p2) # N: Revealed type is "builtins.float" reveal_type(p_or_kw) # N: Revealed type is "builtins.int" [case testPEP570Signatures6] def f(p1: bytes, p2: float, /) -> None: reveal_type(p1) # N: Revealed type is "builtins.bytes" reveal_type(p2) # N: Revealed type is "builtins.float" [case testPEP570Unannotated] def f(arg, /): ... # N: "f" defined here g = lambda arg, /: arg def h(arg=0, /): ... # N: "h" defined here i = lambda arg=0, /: arg f(1) g(1) h() h(1) i() i(1) f(arg=0) # E: Unexpected keyword argument "arg" for "f" g(arg=0) # E: Unexpected keyword argument "arg" h(arg=0) # E: Unexpected keyword argument "arg" for "h" i(arg=0) # E: Unexpected keyword argument "arg" [case testWalrus] from typing import Final, NamedTuple, Optional, List if a := 2: reveal_type(a) # N: Revealed type is "builtins.int" while b := "x": reveal_type(b) # N: Revealed type is "builtins.str" l = [y2 := 1, y2 + 2, y2 + 3] reveal_type(y2) # N: Revealed type is "builtins.int" reveal_type(l) # N: Revealed type is "builtins.list[builtins.int]" filtered_data = [y3 for x in l if (y3 := a) is not None] reveal_type(filtered_data) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(y3) # N: Revealed type is "builtins.int" d = {'a': (a2 := 1), 'b': a2 + 1, 'c': a2 + 2} reveal_type(d) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(a2) # N: Revealed type is "builtins.int" d2 = {(prefix := 'key_') + 'a': (start_val := 1), prefix + 'b': start_val + 1, prefix + 'c': start_val + 2} reveal_type(d2) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(prefix) # N: Revealed type is "builtins.str" reveal_type(start_val) # N: Revealed type is "builtins.int" filtered_dict = {k: new_v for k, v in [('a', 1), ('b', 2), ('c', 3)] if (new_v := v + 1) == 2} reveal_type(filtered_dict) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(new_v) # N: Revealed type is "builtins.int" def f(x: int = (c := 4)) -> int: if a := 2: reveal_type(a) # N: Revealed type is "builtins.int" while b := "x": reveal_type(b) # N: Revealed type is "builtins.str" x = (y := 1) + (z := 2) reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(z) # N: Revealed type is "builtins.int" l = [y2 := 1, y2 + 2, y2 + 3] reveal_type(y2) # N: Revealed type is "builtins.int" reveal_type(l) # N: Revealed type is "builtins.list[builtins.int]" filtered_data = [y3 for x in l if (y3 := a) is not None] reveal_type(filtered_data) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(y3) # N: Revealed type is "builtins.int" d = {'a': (a2 := 1), 'b': a2 + 1, 'c': a2 + 2} reveal_type(d) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(a2) # N: Revealed type is "builtins.int" d2 = {(prefix := 'key_') + 'a': (start_val := 1), prefix + 'b': start_val + 1, prefix + 'c': start_val + 2} reveal_type(d2) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(prefix) # N: Revealed type is "builtins.str" reveal_type(start_val) # N: Revealed type is "builtins.int" filtered_dict = {k: new_v for k, v in [('a', 1), ('b', 2), ('c', 3)] if (new_v := v + 1) == 2} reveal_type(filtered_dict) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(new_v) # N: Revealed type is "builtins.int" # https://www.python.org/dev/peps/pep-0572/#exceptional-cases (y4 := 3) reveal_type(y4) # N: Revealed type is "builtins.int" y5 = (y6 := 3) reveal_type(y5) # N: Revealed type is "builtins.int" reveal_type(y6) # N: Revealed type is "builtins.int" f(x=(y7 := 3)) reveal_type(y7) # N: Revealed type is "builtins.int" reveal_type((lambda: (y8 := 3) and y8)()) # N: Revealed type is "builtins.int" y8 # E: Name "y8" is not defined y7 = 1.0 # E: Incompatible types in assignment (expression has type "float", variable has type "int") if y7 := "x": # E: Incompatible types in assignment (expression has type "str", variable has type "int") pass # Just make sure we don't crash on this sort of thing. if NT := NamedTuple("NT", [("x", int)]): # E: "int" not callable z2: NT # E: Variable "NT" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases if Alias := int: # E: Function "Alias" could always be true in boolean context z3: Alias # E: Variable "Alias" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases if (reveal_type(y9 := 3) and # N: Revealed type is "Literal[3]?" reveal_type(y9)): # N: Revealed type is "builtins.int" reveal_type(y9) # N: Revealed type is "builtins.int" return (y10 := 3) + y10 reveal_type(c) # N: Revealed type is "builtins.int" def check_final() -> None: x: Final = 3 if x := 4: # E: Cannot assign to final name "x" pass def check_binder(x: Optional[int], y: Optional[int], z: Optional[int], a: Optional[int], b: Optional[int]) -> None: reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" (x := 1) reveal_type(x) # N: Revealed type is "builtins.int" if x or (y := 1): reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" if x and (y := 1): reveal_type(y) # N: Revealed type is "builtins.int" if (a := 1) and x: reveal_type(a) # N: Revealed type is "builtins.int" if (b := 1) or x: reveal_type(b) # N: Revealed type is "builtins.int" if z := 1: reveal_type(z) # N: Revealed type is "builtins.int" def check_partial() -> None: x = None if bool() and (x := 2): pass reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" def check_narrow(x: Optional[int], s: List[int]) -> None: if (y := x): reveal_type(y) # N: Revealed type is "builtins.int" if (y := x) is not None: reveal_type(y) # N: Revealed type is "builtins.int" if (y := x) == 10: reveal_type(y) # N: Revealed type is "builtins.int" if (y := x) in s: reveal_type(y) # N: Revealed type is "builtins.int" if isinstance((y := x), int): reveal_type(y) # N: Revealed type is "builtins.int" class AssignmentExpressionsClass: x = (y := 1) + (z := 2) reveal_type(z) # N: Revealed type is "builtins.int" l = [x2 := 1, 2, 3] reveal_type(x2) # N: Revealed type is "builtins.int" def __init__(self) -> None: reveal_type(self.z) # N: Revealed type is "builtins.int" l = [z2 := 1, z2 + 2, z2 + 3] reveal_type(z2) # N: Revealed type is "builtins.int" reveal_type(l) # N: Revealed type is "builtins.list[builtins.int]" filtered_data = [z3 for x in l if (z3 := 1) is not None] reveal_type(filtered_data) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(z3) # N: Revealed type is "builtins.int" # Assignment expressions from inside the class should not escape the class scope. reveal_type(x2) # E: Name "x2" is not defined # N: Revealed type is "Any" reveal_type(z2) # E: Name "z2" is not defined # N: Revealed type is "Any" [builtins fixtures/isinstancelist.pyi] [case testWalrusConditionalTypeBinder] from typing import Literal, Tuple, Union class Good: @property def is_good(self) -> Literal[True]: ... class Bad: @property def is_good(self) -> Literal[False]: ... def get_thing() -> Union[Good, Bad]: ... if (thing := get_thing()).is_good: reveal_type(thing) # N: Revealed type is "__main__.Good" else: reveal_type(thing) # N: Revealed type is "__main__.Bad" def get_things() -> Union[Tuple[Good], Tuple[Bad]]: ... if (things := get_things())[0].is_good: reveal_type(things) # N: Revealed type is "tuple[__main__.Good]" else: reveal_type(things) # N: Revealed type is "tuple[__main__.Bad]" [builtins fixtures/list.pyi] [case testWalrusConditionalTypeCheck] from typing import Optional maybe_str: Optional[str] if (is_str := maybe_str is not None): reveal_type(is_str) # N: Revealed type is "Literal[True]" reveal_type(maybe_str) # N: Revealed type is "builtins.str" else: reveal_type(is_str) # N: Revealed type is "Literal[False]" reveal_type(maybe_str) # N: Revealed type is "None" reveal_type(maybe_str) # N: Revealed type is "Union[builtins.str, None]" [builtins fixtures/bool.pyi] [case testWalrusConditionalTypeCheck2] from typing import Optional maybe_str: Optional[str] if (x := maybe_str) is not None: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(maybe_str) # N: Revealed type is "Union[builtins.str, None]" else: reveal_type(x) # N: Revealed type is "None" reveal_type(maybe_str) # N: Revealed type is "Union[builtins.str, None]" reveal_type(maybe_str) # N: Revealed type is "Union[builtins.str, None]" [builtins fixtures/bool.pyi] [case testWalrusPartialTypes] from typing import List def check_partial_list() -> None: if (x := []): # E: Need type annotation for "x" (hint: "x: list[] = ...") pass y: List[str] if (y := []): pass if (z := []): z.append(3) reveal_type(z) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testWalrusAssignmentAndConditionScopeForLiteral] # flags: --warn-unreachable if (x := 0): reveal_type(x) # E: Statement is unreachable else: reveal_type(x) # N: Revealed type is "Literal[0]" reveal_type(x) # N: Revealed type is "Literal[0]" [case testWalrusAssignmentAndConditionScopeForProperty] # flags: --warn-unreachable from typing import Literal class PropertyWrapper: @property def f(self) -> str: ... @property def always_false(self) -> Literal[False]: ... wrapper = PropertyWrapper() if x := wrapper.f: reveal_type(x) # N: Revealed type is "builtins.str" else: reveal_type(x) # N: Revealed type is "Literal['']" reveal_type(x) # N: Revealed type is "builtins.str" if y := wrapper.always_false: reveal_type(y) # E: Statement is unreachable else: reveal_type(y) # N: Revealed type is "Literal[False]" reveal_type(y) # N: Revealed type is "Literal[False]" [builtins fixtures/property.pyi] [case testWalrusAssignmentAndConditionScopeForFunction] # flags: --warn-unreachable from typing import Literal def f() -> str: ... if x := f(): reveal_type(x) # N: Revealed type is "builtins.str" else: reveal_type(x) # N: Revealed type is "Literal['']" reveal_type(x) # N: Revealed type is "builtins.str" def always_false() -> Literal[False]: ... if y := always_false(): reveal_type(y) # E: Statement is unreachable else: reveal_type(y) # N: Revealed type is "Literal[False]" reveal_type(y) # N: Revealed type is "Literal[False]" def always_false_with_parameter(x: int) -> Literal[False]: ... if z := always_false_with_parameter(5): reveal_type(z) # E: Statement is unreachable else: reveal_type(z) # N: Revealed type is "Literal[False]" reveal_type(z) # N: Revealed type is "Literal[False]" [builtins fixtures/tuple.pyi] [case testWalrusExpr] def func() -> None: foo = Foo() if x := foo.x: pass class Foo: def __init__(self) -> None: self.x = 123 [case testWalrusTypeGuard] from typing_extensions import TypeGuard def is_float(a: object) -> TypeGuard[float]: pass def main(a: object) -> None: if is_float(x := a): reveal_type(x) # N: Revealed type is "builtins.float" reveal_type(a) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [case testWalrusRedefined] def foo() -> None: x = 0 [x := x + y for y in [1, 2, 3]] [builtins fixtures/dict.pyi] [case testWalrusUsedBeforeDef] class C: def f(self, c: 'C') -> None: pass (x := C()).f(y) # E: Cannot determine type of "y" # E: Name "y" is used before definition (y := C()).f(y) [case testOverloadWithPositionalOnlySelf] from typing import overload, Optional class Foo: @overload def f(self, a: str, /) -> None: ... @overload def f(self, *, b: bool = False) -> None: ... def f(self, a: Optional[str] = None, /, *, b: bool = False) -> None: # E: Overloaded function implementation does not accept all possible arguments of signature 2 ... class Bar: @overload def f(self, a: str, /) -> None: ... @overload # Notice `/` in sig below: def f(self, /, *, b: bool = False) -> None: ... def f(self, a: Optional[str] = None, /, *, b: bool = False) -> None: ... [builtins fixtures/bool.pyi] [case testOverloadPositionalOnlyErrorMessage] from typing import overload @overload def foo(a: int, /): ... @overload def foo(a: str): ... def foo(a): ... foo(a=1) [out] main:9: error: No overload variant of "foo" matches argument type "int" main:9: note: Possible overload variants: main:9: note: def foo(int, /) -> Any main:9: note: def foo(a: str) -> Any [case testOverloadPositionalOnlyErrorMessageAllTypes] from typing import overload @overload def foo(a: int, /, b: int, *, c: int): ... @overload def foo(a: str, b: int, *, c: int): ... def foo(a, b, *, c): ... foo(a=1) [out] main:9: error: No overload variant of "foo" matches argument type "int" main:9: note: Possible overload variants: main:9: note: def foo(int, /, b: int, *, c: int) -> Any main:9: note: def foo(a: str, b: int, *, c: int) -> Any [case testOverloadPositionalOnlyErrorMessageMultiplePosArgs] from typing import overload @overload def foo(a: int, b: int, c: int, /, d: str): ... @overload def foo(a: str, b: int, c: int, d: str): ... def foo(a, b, c, d): ... foo(a=1) [out] main:9: error: No overload variant of "foo" matches argument type "int" main:9: note: Possible overload variants: main:9: note: def foo(int, int, int, /, d: str) -> Any main:9: note: def foo(a: str, b: int, c: int, d: str) -> Any [case testOverloadPositionalOnlyErrorMessageMethod] from typing import overload class Some: @overload def foo(self, __a: int): ... @overload def foo(self, a: float, /): ... @overload def foo(self, a: str): ... def foo(self, a): ... Some().foo(a=1) [out] main:12: error: No overload variant of "foo" of "Some" matches argument type "int" main:12: note: Possible overload variants: main:12: note: def foo(self, int, /) -> Any main:12: note: def foo(self, float, /) -> Any main:12: note: def foo(self, a: str) -> Any [case testOverloadPositionalOnlyErrorMessageClassMethod] from typing import overload class Some: @overload @classmethod def foo(cls, __a: int): ... @overload @classmethod def foo(cls, a: float, /): ... @overload @classmethod def foo(cls, a: str): ... @classmethod def foo(cls, a): ... Some.foo(a=1) [builtins fixtures/classmethod.pyi] [out] main:16: error: No overload variant of "foo" of "Some" matches argument type "int" main:16: note: Possible overload variants: main:16: note: def foo(cls, int, /) -> Any main:16: note: def foo(cls, float, /) -> Any main:16: note: def foo(cls, a: str) -> Any [case testUnpackWithDuplicateNamePositionalOnly] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(name: str, /, **kwargs: Unpack[Person]) -> None: # Allowed ... [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testPossiblyUndefinedWithAssignmentExpr] # flags: --enable-error-code possibly-undefined def f1() -> None: d = {0: 1} if int(): x = 1 if (x := d[x]) is None: # E: Name "x" may be undefined y = x z = x [builtins fixtures/dict.pyi] [case testNarrowOnSelfInGeneric] from typing import Generic, TypeVar, Optional T = TypeVar("T", int, str) class C(Generic[T]): x: Optional[T] def meth(self) -> Optional[T]: if (y := self.x) is not None: reveal_type(y) return None [out] main:9: note: Revealed type is "builtins.int" main:9: note: Revealed type is "builtins.str" [case testTypeGuardWithPositionalOnlyArg] from typing_extensions import TypeGuard def typeguard(x: object, /) -> TypeGuard[int]: ... n: object if typeguard(n): reveal_type(n) [builtins fixtures/tuple.pyi] [out] main:8: note: Revealed type is "builtins.int" [case testTypeGuardKeywordFollowingWalrus] from typing import cast from typing_extensions import TypeGuard def typeguard(x: object) -> TypeGuard[int]: ... if typeguard(x=(n := cast(object, "hi"))): reveal_type(n) [builtins fixtures/tuple.pyi] [out] main:8: note: Revealed type is "builtins.int" [case testNoCrashOnAssignmentExprClass] class C: [(j := i) for i in [1, 2, 3]] # E: Assignment expression within a comprehension cannot be used in a class body [builtins fixtures/list.pyi] [case testNarrowedVariableInNestedModifiedInWalrus] from typing import Optional def walrus_with_nested_error(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x # E: Incompatible return value type (got "Optional[str]", expected "str") if x := None: pass nested() def walrus_with_nested_ok(x: Optional[str]) -> None: if x is None: x = "a" def nested() -> str: return x if y := x: pass nested() [case testIgnoreWholeModule] # flags: --warn-unused-ignores # type: ignore IGNORE # type: ignore [case testUnusedIgnoreVersionCheck] # flags: --warn-unused-ignores import sys if sys.version_info < (3, 6): 42 # type: ignore else: 42 # type: ignore # E: Unused "type: ignore" comment [builtins fixtures/ops.pyi] [case testDictExpressionErrorLocations] # flags: --pretty from typing import Dict other: Dict[str, str] dct: Dict[str, int] = {"a": "b", **other} [builtins fixtures/dict.pyi] [out] main:5: error: Dict entry 0 has incompatible type "str": "str"; expected "str": "int" dct: Dict[str, int] = {"a": "b", **other} ^~~~~~~~ main:5: error: Unpacked dict entry 1 has incompatible type "dict[str, str]"; expected "SupportsKeysAndGetItem[str, int]" dct: Dict[str, int] = {"a": "b", **other} ^~~~~ [case testWalrusAssignmentEmptyCollection] from typing import List y: List[int] if (y := []): reveal_type(y) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-python39.test0000644000175100017510000000155015112307767020576 0ustar00runnerrunner[case testGivingSameKeywordArgumentTwice] # This test was originally in check-kwargs.test # Python 3.9's new parser started producing a different error message here. Since this isn't the # most important test, to deal with this we'll only run this test with Python 3.9 and later. import typing def f(a: 'A', b: 'B') -> None: pass class A: pass class B: pass f(a=A(), b=B(), a=A()) # E: "f" gets multiple values for keyword argument "a" [case testPEP614] from typing import Callable, List decorator_list: List[Callable[..., Callable[[int], str]]] @decorator_list[0] def f(x: float) -> float: ... reveal_type(f) # N: Revealed type is "def (builtins.int) -> builtins.str" [builtins fixtures/list.pyi] [case testStarredExpressionsInForLoop] a = b = c = [1, 2, 3] for x in *a, *b, *c: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-recursive-types.test0000644000175100017510000007523015112307767022260 0ustar00runnerrunner-- Tests checking that basic functionality works [case testRecursiveAliasBasic] from typing import Dict, List, Union, TypeVar, Sequence JSON = Union[str, List[JSON], Dict[str, JSON]] x: JSON = ["foo", {"bar": "baz"}] reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.list[...], builtins.dict[builtins.str, ...]]" if isinstance(x, list): x = x[0] class Bad: ... x = ["foo", {"bar": [Bad()]}] # E: List item 0 has incompatible type "Bad"; expected "Union[str, list[JSON], dict[str, JSON]]" [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasBasicGenericSubtype] from typing import Union, TypeVar, Sequence, List T = TypeVar("T") Nested = Sequence[Union[T, Nested[T]]] class Bad: ... x: Nested[int] y: Nested[Bad] x = y # E: Incompatible types in assignment (expression has type "Nested[Bad]", variable has type "Nested[int]") NestedOther = Sequence[Union[T, Nested[T]]] xx: Nested[int] yy: NestedOther[bool] xx = yy # OK [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasBasicGenericInference] from typing import Union, TypeVar, Sequence, List T = TypeVar("T") Nested = Sequence[Union[T, Nested[T]]] def flatten(arg: Nested[T]) -> List[T]: res: List[T] = [] for item in arg: if isinstance(item, Sequence): res.extend(flatten(item)) else: res.append(item) return res reveal_type(flatten([1, [2, [3]]])) # N: Revealed type is "builtins.list[builtins.int]" class Bad: ... x: Nested[int] = [1, [2, [3]]] x = [1, [Bad()]] # E: List item 0 has incompatible type "Bad"; expected "Union[int, Nested[int]]" [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasGenericInferenceNested] from typing import Union, TypeVar, Sequence, List T = TypeVar("T") class A: ... class B(A): ... Nested = Sequence[Union[T, Nested[T]]] def flatten(arg: Nested[T]) -> List[T]: ... reveal_type(flatten([[B(), B()]])) # N: Revealed type is "builtins.list[__main__.B]" reveal_type(flatten([[[[B()]]]])) # N: Revealed type is "builtins.list[__main__.B]" reveal_type(flatten([[B(), [[B()]]]])) # N: Revealed type is "builtins.list[__main__.B]" [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasNewStyleSupported] from test import A x: A if isinstance(x, list): reveal_type(x[0]) # N: Revealed type is "Union[builtins.int, builtins.list[Union[builtins.int, builtins.list[...]]]]" else: reveal_type(x) # N: Revealed type is "builtins.int" [file test.pyi] A = int | list[A] [builtins fixtures/isinstancelist.pyi] -- Tests duplicating some existing type alias tests with recursive aliases enabled [case testRecursiveAliasesMutual] # flags: --disable-error-code used-before-def from typing import Type, Callable, Union A = Union[B, int] B = Callable[[C], int] C = Type[A] x: A reveal_type(x) # N: Revealed type is "Union[def (Union[type[def (...) -> builtins.int], type[builtins.int]]) -> builtins.int, builtins.int]" [case testRecursiveAliasesProhibited-skip] from typing import Type, Callable, Union A = Union[B, int] B = Union[A, int] C = Type[C] [case testRecursiveAliasImported] import lib x: lib.A reveal_type(x) # N: Revealed type is "builtins.list[builtins.list[...]]" [file lib.pyi] from typing import List from other import B A = List[B] [file other.pyi] from typing import List from lib import A B = List[A] [builtins fixtures/list.pyi] [case testRecursiveAliasViaBaseClass] # flags: --disable-error-code used-before-def from typing import List x: B B = List[C] class C(B): pass reveal_type(x) # N: Revealed type is "builtins.list[__main__.C]" reveal_type(x[0][0]) # N: Revealed type is "__main__.C" [builtins fixtures/list.pyi] [case testRecursiveAliasViaBaseClass2] # flags: --disable-error-code used-before-def from typing import NewType, List x: D reveal_type(x[0][0]) # N: Revealed type is "__main__.C" D = List[C] C = NewType('C', B) class B(D): pass [builtins fixtures/list.pyi] [case testRecursiveAliasViaBaseClass3] from typing import List, Generic, TypeVar, NamedTuple T = TypeVar('T') class C(A, B): pass class G(Generic[T]): pass A = G[C] class B(NamedTuple): x: int y: C reveal_type(y.x) # N: Revealed type is "builtins.int" reveal_type(y[0]) # N: Revealed type is "builtins.int" x: A reveal_type(x) # N: Revealed type is "__main__.G[tuple[builtins.int, fallback=__main__.C]]" [builtins fixtures/list.pyi] [case testRecursiveAliasViaBaseClassImported] # flags: --disable-error-code used-before-def import a [file a.py] from typing import List from b import D def f(x: B) -> List[B]: ... B = List[C] class C(B): pass [file b.py] from a import f class D: ... reveal_type(f) # N: Revealed type is "def (x: builtins.list[a.C]) -> builtins.list[builtins.list[a.C]]" [builtins fixtures/list.pyi] [case testRecursiveAliasViaNamedTuple] from typing import List, NamedTuple, Union Exp = Union['A', 'B'] class A(NamedTuple('A', [('attr', List[Exp])])): pass class B(NamedTuple('B', [('val', object)])): pass def my_eval(exp: Exp) -> int: reveal_type(exp) # N: Revealed type is "Union[tuple[builtins.list[...], fallback=__main__.A], tuple[builtins.object, fallback=__main__.B]]" if isinstance(exp, A): my_eval(exp[0][0]) return my_eval(exp.attr[0]) if isinstance(exp, B): return exp.val # E: Incompatible return value type (got "object", expected "int") return 0 my_eval(A([B(1), B(2)])) [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasesSimplifiedUnion] from typing import Sequence, TypeVar, Union class A: ... class B(A): ... NestedA = Sequence[Union[A, NestedA]] NestedB = Sequence[Union[B, NestedB]] a: NestedA b: NestedB T = TypeVar("T") S = TypeVar("S") def union(a: T, b: S) -> Union[T, S]: ... x: int y = union(a, b) x = y # E: Incompatible types in assignment (expression has type "Sequence[Union[A, NestedA]]", variable has type "int") [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasesJoins] from typing import Sequence, TypeVar, Union class A: ... class B(A): ... NestedA = Sequence[Union[A, NestedA]] NestedB = Sequence[Union[B, NestedB]] a: NestedA b: NestedB la: Sequence[Sequence[A]] lb: Sequence[Sequence[B]] T = TypeVar("T") def join(a: T, b: T) -> T: ... x: int y1 = join(a, b) x = y1 # E: Incompatible types in assignment (expression has type "Sequence[Union[A, NestedA]]", variable has type "int") y2 = join(a, lb) x = y2 # E: Incompatible types in assignment (expression has type "Sequence[Union[A, NestedA]]", variable has type "int") y3 = join(la, b) x = y3 # E: Incompatible types in assignment (expression has type "Sequence[Union[Sequence[A], B, NestedB]]", variable has type "int") [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasesRestrictions] from typing import Sequence, Mapping, Union A = Sequence[Union[int, A]] B = Mapping[int, Union[int, B]] x: int y: Union[A, B] if isinstance(y, Sequence): x = y # E: Incompatible types in assignment (expression has type "Sequence[Union[int, A]]", variable has type "int") else: x = y # E: Incompatible types in assignment (expression has type "Mapping[int, Union[int, B]]", variable has type "int") [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasesRestrictions2] from typing import Sequence, Union class A: ... class B(A): ... NestedA = Sequence[Union[A, NestedA]] NestedB = Sequence[Union[B, NestedB]] a: NestedA b: NestedB aa: NestedA x: int x = a # E: Incompatible types in assignment (expression has type "NestedA", variable has type "int") a = b x = a # E: Incompatible types in assignment (expression has type "Sequence[Union[B, NestedB]]", variable has type "int") b = aa # E: Incompatible types in assignment (expression has type "NestedA", variable has type "NestedB") if isinstance(b[0], Sequence): a = b[0] x = a # E: Incompatible types in assignment (expression has type "Sequence[Union[B, NestedB]]", variable has type "int") [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasWithRecursiveInstance] from typing import Sequence, Union, TypeVar class A: ... T = TypeVar("T") Nested = Sequence[Union[T, Nested[T]]] class B(Sequence[B]): ... a: Nested[A] aa: Nested[A] b: B a = b # OK a = [[b]] # OK b = aa # E: Incompatible types in assignment (expression has type "Nested[A]", variable has type "B") def join(a: T, b: T) -> T: ... reveal_type(join(a, b)) # N: Revealed type is "typing.Sequence[Union[__main__.A, typing.Sequence[Union[__main__.A, ...]]]]" reveal_type(join(b, a)) # N: Revealed type is "typing.Sequence[Union[__main__.A, typing.Sequence[Union[__main__.A, ...]]]]" [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasWithRecursiveInstanceInference] from typing import Sequence, Union, TypeVar, List T = TypeVar("T") Nested = Sequence[Union[T, Nested[T]]] class B(Sequence[B]): ... nb: Nested[B] = [B(), [B(), [B()]]] lb: List[B] def foo(x: Nested[T]) -> T: ... reveal_type(foo(lb)) # N: Revealed type is "__main__.B" reveal_type(foo([B(), [B(), [B()]]])) # N: Revealed type is "__main__.B" NestedInv = List[Union[T, NestedInv[T]]] nib: NestedInv[B] = [B(), [B(), [B()]]] def bar(x: NestedInv[T]) -> T: ... reveal_type(bar(nib)) # N: Revealed type is "__main__.B" [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasTopUnion] from typing import Sequence, Union, TypeVar, List class A: ... class B(A): ... T = TypeVar("T") PlainNested = Union[T, Sequence[PlainNested[T]]] x: PlainNested[A] y: PlainNested[B] = [B(), [B(), [B()]]] x = y # OK xx: PlainNested[B] yy: PlainNested[A] xx = yy # E: Incompatible types in assignment (expression has type "PlainNested[A]", variable has type "PlainNested[B]") def foo(arg: PlainNested[T]) -> T: ... lb: List[B] reveal_type(foo([B(), [B(), [B()]]])) # N: Revealed type is "__main__.B" reveal_type(foo(lb)) # N: Revealed type is "__main__.B" reveal_type(foo(xx)) # N: Revealed type is "__main__.B" [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasInferenceExplicitNonRecursive] from typing import Sequence, Union, TypeVar, List T = TypeVar("T") Nested = Sequence[Union[T, Nested[T]]] PlainNested = Union[T, Sequence[PlainNested[T]]] def foo(x: Nested[T]) -> T: ... def bar(x: PlainNested[T]) -> T: ... class A: ... a: A la: List[A] lla: List[Union[A, List[A]]] llla: List[Union[A, List[Union[A, List[A]]]]] reveal_type(foo(la)) # N: Revealed type is "__main__.A" reveal_type(foo(lla)) # N: Revealed type is "__main__.A" reveal_type(foo(llla)) # N: Revealed type is "__main__.A" reveal_type(bar(a)) # N: Revealed type is "__main__.A" reveal_type(bar(la)) # N: Revealed type is "__main__.A" reveal_type(bar(lla)) # N: Revealed type is "__main__.A" reveal_type(bar(llla)) # N: Revealed type is "__main__.A" [builtins fixtures/isinstancelist.pyi] [case testRecursiveAliasesWithOptional] from typing import Optional, Sequence A = Sequence[Optional[A]] x: A y: str = x[0] # E: Incompatible types in assignment (expression has type "Optional[A]", variable has type "str") [case testRecursiveAliasesProhibitBadAliases] # flags: --disable-error-code used-before-def from typing import Union, Type, List, TypeVar NR = List[int] NR2 = Union[NR, NR] NR3 = Union[NR, Union[NR2, NR2]] T = TypeVar("T") NRG = Union[int, T] NR4 = NRG[str] NR5 = Union[NRG[int], NR4] A = Union[B, int] # E: Invalid recursive alias: a union item of itself B = Union[int, A] # Error reported above def f() -> A: ... reveal_type(f()) # N: Revealed type is "Any" G = Union[T, G[T]] # E: Invalid recursive alias: a union item of itself GL = Union[T, GL[List[T]]] # E: Invalid recursive alias: a union item of itself \ # E: Invalid recursive alias: type variable nesting on right hand side def g() -> G[int]: ... reveal_type(g()) # N: Revealed type is "Any" def local() -> None: L = List[Union[int, L]] # E: Cannot resolve name "L" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope x: L reveal_type(x) # N: Revealed type is "builtins.list[Union[builtins.int, Any]]" S = Type[S] # E: Type[...] can't contain "Type[...]" U = Type[Union[int, U]] # E: Type[...] can't contain "Union[Type[...], Type[...]]" \ # E: Type[...] can't contain "Type[...]" x: U reveal_type(x) # N: Revealed type is "type[Any]" D = List[F[List[T]]] # E: Invalid recursive alias: type variable nesting on right hand side F = D[T] # Error reported above E = List[E[E[T]]] # E: Invalid recursive alias: type variable nesting on right hand side d: D reveal_type(d) # N: Revealed type is "Any" [builtins fixtures/isinstancelist.pyi] [case testBasicRecursiveNamedTuple] from typing import NamedTuple, Optional NT = NamedTuple("NT", [("x", Optional[NT]), ("y", int)]) nt: NT reveal_type(nt) # N: Revealed type is "tuple[Union[..., None], builtins.int, fallback=__main__.NT]" reveal_type(nt.x) # N: Revealed type is "Union[tuple[Union[..., None], builtins.int, fallback=__main__.NT], None]" reveal_type(nt[0]) # N: Revealed type is "Union[tuple[Union[..., None], builtins.int, fallback=__main__.NT], None]" y: str if nt.x is not None: y = nt.x[0] # E: Incompatible types in assignment (expression has type "Optional[NT]", variable has type "str") [builtins fixtures/tuple.pyi] [case testBasicRecursiveNamedTupleSpecial] from typing import NamedTuple, TypeVar, Tuple NT = NamedTuple("NT", [("x", NT), ("y", int)]) nt: NT reveal_type(nt) # N: Revealed type is "tuple[..., builtins.int, fallback=__main__.NT]" reveal_type(nt.x) # N: Revealed type is "tuple[..., builtins.int, fallback=__main__.NT]" reveal_type(nt[0]) # N: Revealed type is "tuple[tuple[..., builtins.int, fallback=__main__.NT], builtins.int, fallback=__main__.NT]" y: str if nt.x is not None: y = nt.x[0] # E: Incompatible types in assignment (expression has type "NT", variable has type "str") T = TypeVar("T") def f(a: T, b: T) -> T: ... tnt: Tuple[NT] # TODO: these should be tuple[object] instead. reveal_type(f(nt, tnt)) # N: Revealed type is "builtins.tuple[Any, ...]" reveal_type(f(tnt, nt)) # N: Revealed type is "builtins.tuple[Any, ...]" [builtins fixtures/tuple.pyi] [case testBasicRecursiveNamedTupleClass] from typing import NamedTuple, Optional class NT(NamedTuple): x: Optional[NT] y: int nt: NT reveal_type(nt) # N: Revealed type is "tuple[Union[..., None], builtins.int, fallback=__main__.NT]" reveal_type(nt.x) # N: Revealed type is "Union[tuple[Union[..., None], builtins.int, fallback=__main__.NT], None]" reveal_type(nt[0]) # N: Revealed type is "Union[tuple[Union[..., None], builtins.int, fallback=__main__.NT], None]" y: str if nt.x is not None: y = nt.x[0] # E: Incompatible types in assignment (expression has type "Optional[NT]", variable has type "str") [builtins fixtures/tuple.pyi] [case testRecursiveRegularTupleClass] from typing import Tuple x: B class B(Tuple[B, int]): x: int b, _ = x reveal_type(b.x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testRecursiveTupleClassesNewType] from typing import Tuple, NamedTuple, NewType x: C class B(Tuple[B, int]): x: int C = NewType("C", B) b, _ = x reveal_type(b) # N: Revealed type is "tuple[..., builtins.int, fallback=__main__.B]" reveal_type(b.x) # N: Revealed type is "builtins.int" y: CNT class BNT(NamedTuple): x: CNT y: int CNT = NewType("CNT", BNT) bnt, _ = y reveal_type(bnt.y) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] -- Tests duplicating some existing named tuple tests with recursive aliases enabled [case testMutuallyRecursiveNamedTuples] # flags: --disable-error-code used-before-def from typing import Tuple, NamedTuple, TypeVar, Union A = NamedTuple('A', [('x', str), ('y', Tuple[B, ...])]) class B(NamedTuple): x: A y: int n: A reveal_type(n) # N: Revealed type is "tuple[builtins.str, builtins.tuple[tuple[..., builtins.int, fallback=__main__.B], ...], fallback=__main__.A]" T = TypeVar("T") S = TypeVar("S") def foo(arg: Tuple[T, S]) -> Union[T, S]: ... x = foo(n) y: str = x # E: Incompatible types in assignment (expression has type "Union[str, tuple[B, ...]]", variable has type "str") [builtins fixtures/tuple.pyi] [case testMutuallyRecursiveNamedTuplesJoin] from typing import NamedTuple, Tuple class B(NamedTuple): x: Tuple[A, int] y: int A = NamedTuple('A', [('x', str), ('y', B)]) n: B m: A s: str = n.x # E: Incompatible types in assignment (expression has type "tuple[A, int]", variable has type "str") reveal_type(m[0]) # N: Revealed type is "builtins.str" lst = [m, n] # Unfortunately, join of two recursive types is not very precise. reveal_type(lst[0]) # N: Revealed type is "builtins.object" # These just should not crash lst1 = [m] lst2 = [m, m] lst3 = [m, m, m] [builtins fixtures/tuple.pyi] [case testMutuallyRecursiveNamedTuplesClasses] from typing import NamedTuple, Tuple class B(NamedTuple): x: A y: int class A(NamedTuple): x: str y: B n: A s: str = n.y[0] # E: Incompatible types in assignment (expression has type "A", variable has type "str") m: B n = m.x n = n.y.x t: Tuple[str, B] t = n t = m # E: Incompatible types in assignment (expression has type "B", variable has type "tuple[str, B]") [builtins fixtures/tuple.pyi] [case testMutuallyRecursiveNamedTuplesCalls] # flags: --disable-error-code used-before-def from typing import NamedTuple B = NamedTuple('B', [('x', A), ('y', int)]) A = NamedTuple('A', [('x', str), ('y', 'B')]) n: A def f(m: B) -> None: pass reveal_type(n) # N: Revealed type is "tuple[builtins.str, tuple[..., builtins.int, fallback=__main__.B], fallback=__main__.A]" reveal_type(f) # N: Revealed type is "def (m: tuple[tuple[builtins.str, ..., fallback=__main__.A], builtins.int, fallback=__main__.B])" f(n) # E: Argument 1 to "f" has incompatible type "A"; expected "B" [builtins fixtures/tuple.pyi] [case testNoRecursiveTuplesAtFunctionScope] from typing import NamedTuple, Tuple def foo() -> None: class B(NamedTuple): x: B # E: Cannot resolve name "B" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope y: int b: B reveal_type(b) # N: Revealed type is "tuple[Any, builtins.int, fallback=__main__.B@3]" [builtins fixtures/tuple.pyi] [case testBasicRecursiveGenericNamedTuple] from typing import Generic, NamedTuple, TypeVar, Union T = TypeVar("T", covariant=True) class NT(NamedTuple, Generic[T]): key: int value: Union[T, NT[T]] class A: ... class B(A): ... nti: NT[int] = NT(key=0, value=NT(key=1, value=A())) # E: Argument "value" to "NT" has incompatible type "A"; expected "Union[int, NT[int]]" reveal_type(nti) # N: Revealed type is "tuple[builtins.int, Union[builtins.int, ...], fallback=__main__.NT[builtins.int]]" nta: NT[A] ntb: NT[B] nta = ntb # OK, covariance ntb = nti # E: Incompatible types in assignment (expression has type "NT[int]", variable has type "NT[B]") def last(arg: NT[T]) -> T: ... reveal_type(last(ntb)) # N: Revealed type is "__main__.B" [builtins fixtures/tuple.pyi] [case testBasicRecursiveTypedDictClass] from typing import TypedDict class TD(TypedDict): x: int y: TD td: TD reveal_type(td) # N: Revealed type is "TypedDict('__main__.TD', {'x': builtins.int, 'y': ...})" s: str = td["y"] # E: Incompatible types in assignment (expression has type "TD", variable has type "str") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testBasicRecursiveTypedDictCall] from typing import TypedDict TD = TypedDict("TD", {"x": int, "y": TD}) td: TD reveal_type(td) # N: Revealed type is "TypedDict('__main__.TD', {'x': builtins.int, 'y': ...})" TD2 = TypedDict("TD2", {"x": int, "y": TD2}) td2: TD2 TD3 = TypedDict("TD3", {"x": str, "y": TD3}) td3: TD3 td = td2 td = td3 # E: Incompatible types in assignment (expression has type "TD3", variable has type "TD") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testBasicRecursiveTypedDictExtending] from typing import TypedDict class TDA(TypedDict): xa: int ya: TD class TDB(TypedDict): xb: int yb: TD class TD(TDA, TDB): a: TDA b: TDB td: TD reveal_type(td) # N: Revealed type is "TypedDict('__main__.TD', {'xb': builtins.int, 'yb': ..., 'xa': builtins.int, 'ya': ..., 'a': TypedDict('__main__.TDA', {'xa': builtins.int, 'ya': ...}), 'b': TypedDict('__main__.TDB', {'xb': builtins.int, 'yb': ...})})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecursiveTypedDictCreation] from typing import TypedDict, Optional class TD(TypedDict): x: int y: Optional[TD] td: TD = {"x": 0, "y": None} td2: TD = {"x": 0, "y": {"x": 1, "y": {"x": 2, "y": None}}} itd = TD(x=0, y=None) itd2 = TD(x=0, y=TD(x=0, y=TD(x=0, y=None))) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecursiveTypedDictMethods] from typing import TypedDict class TD(TypedDict, total=False): x: int y: TD td: TD reveal_type(td.get("y")) # N: Revealed type is "Union[TypedDict('__main__.TD', {'x'?: builtins.int, 'y'?: ...}), None]" td["y"] = {"x": 0, "y": {}} td["y"] = {"x": 0, "y": {"x": 0, "y": 42}} # E: Incompatible types (expression has type "int", TypedDict item "y" has type "TD") reveal_type(td.get("y")) # N: Revealed type is "Union[TypedDict('__main__.TD', {'x'?: builtins.int, 'y'?: ...}), None]" s: str = td.get("y") # E: Incompatible types in assignment (expression has type "Optional[TD]", variable has type "str") td.update({"x": 0, "y": {"x": 1, "y": {}}}) td.update({"x": 0, "y": {"x": 1, "y": {"x": 2, "y": 42}}}) # E: Incompatible types (expression has type "int", TypedDict item "y" has type "TD") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecursiveTypedDictSubtyping] from typing import TypedDict class TDA1(TypedDict): x: int y: TDA1 class TDA2(TypedDict): x: int y: TDA2 class TDB(TypedDict): x: str y: TDB tda1: TDA1 tda2: TDA2 tdb: TDB def fa1(arg: TDA1) -> None: ... def fa2(arg: TDA2) -> None: ... def fb(arg: TDB) -> None: ... fa1(tda2) fa2(tda1) fb(tda1) # E: Argument 1 to "fb" has incompatible type "TDA1"; expected "TDB" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecursiveTypedDictJoin] from typing import TypedDict, TypeVar class TDA1(TypedDict): x: int y: TDA1 class TDA2(TypedDict): x: int y: TDA2 class TDB(TypedDict): x: str y: TDB tda1: TDA1 tda2: TDA2 tdb: TDB T = TypeVar("T") def f(x: T, y: T) -> T: ... # Join for recursive types is very basic, but just add tests that we don't crash. reveal_type(f(tda1, tda2)) # N: Revealed type is "TypedDict({'x': builtins.int, 'y': TypedDict('__main__.TDA1', {'x': builtins.int, 'y': ...})})" reveal_type(f(tda1, tdb)) # N: Revealed type is "TypedDict({})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testBasicRecursiveGenericTypedDict] from typing import TypedDict, TypeVar, Generic, Optional, List T = TypeVar("T") class Tree(TypedDict, Generic[T], total=False): value: T left: Tree[T] right: Tree[T] def collect(arg: Tree[T]) -> List[T]: ... reveal_type(collect({"left": {"right": {"value": 0}}})) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecursiveGenericTypedDictExtending] from typing import TypedDict, Generic, TypeVar, List T = TypeVar("T") class TD(TypedDict, Generic[T]): val: T other: STD[T] class STD(TD[T]): sval: T one: TD[T] std: STD[str] reveal_type(std) # N: Revealed type is "TypedDict('__main__.STD', {'val': builtins.str, 'other': ..., 'sval': builtins.str, 'one': TypedDict('__main__.TD', {'val': builtins.str, 'other': ...})})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecursiveClassLevelAlias] from typing import Union, Sequence class A: Children = Union[Sequence['Children'], 'A', None] x: A.Children reveal_type(x) # N: Revealed type is "Union[typing.Sequence[...], __main__.A, None]" class B: Foo = Sequence[Bar] Bar = Sequence[Foo] y: B.Foo reveal_type(y) # N: Revealed type is "typing.Sequence[typing.Sequence[...]]" [builtins fixtures/tuple.pyi] [case testNoCrashOnRecursiveTupleFallback] from typing import Union, Tuple Tree1 = Union[str, Tuple[Tree1]] Tree2 = Union[str, Tuple[Tree2, Tree2]] Tree3 = Union[str, Tuple[Tree3, Tree3, Tree3]] def test1() -> Tree1: return 42 # E: Incompatible return value type (got "int", expected "Union[str, tuple[Tree1]]") def test2() -> Tree2: return 42 # E: Incompatible return value type (got "int", expected "Union[str, tuple[Tree2, Tree2]]") def test3() -> Tree3: return 42 # E: Incompatible return value type (got "int", expected "Union[str, tuple[Tree3, Tree3, Tree3]]") [builtins fixtures/tuple.pyi] [case testRecursiveDoubleUnionNoCrash] from typing import Tuple, Union, Callable, Sequence K = Union[int, Tuple[Union[int, K]]] L = Union[int, Callable[[], Union[int, L]]] M = Union[int, Sequence[Union[int, M]]] x: K x = x y: L y = y z: M z = z x = y # E: Incompatible types in assignment (expression has type "L", variable has type "K") z = x # OK [builtins fixtures/tuple.pyi] [case testRecursiveInstanceInferenceNoCrash] from typing import Sequence, TypeVar, Union class C(Sequence[C]): ... T = TypeVar("T") def foo(x: T) -> C: ... Nested = Union[C, Sequence[Nested]] x: Nested = foo(42) [case testNoRecursiveExpandInstanceUnionCrash] from typing import List, Union class Tag(List[Union[Tag, List[Tag]]]): ... Tag() [case testNoRecursiveExpandInstanceUnionCrashGeneric] from typing import Generic, Iterable, TypeVar, Union ValueT = TypeVar("ValueT") class Recursive(Iterable[Union[ValueT, Recursive[ValueT]]]): pass class Base(Generic[ValueT]): def __init__(self, element: ValueT): pass class Sub(Base[Union[ValueT, Recursive[ValueT]]]): pass x: Iterable[str] reveal_type(Sub) # N: Revealed type is "def [ValueT] (element: Union[ValueT`1, __main__.Recursive[ValueT`1]]) -> __main__.Sub[ValueT`1]" reveal_type(Sub(x)) # N: Revealed type is "__main__.Sub[typing.Iterable[builtins.str]]" [case testNoRecursiveExpandInstanceUnionCrashInference] # flags: --disable-error-code used-before-def from typing import TypeVar, Union, Generic, List T = TypeVar("T") InList = Union[T, InListRecurse[T]] class InListRecurse(Generic[T], List[InList[T]]): ... def list_thing(transforming: InList[T]) -> T: ... reveal_type(list_thing([5])) # N: Revealed type is "builtins.list[builtins.int]" [case testRecursiveTypedDictWithList] from typing import List, TypedDict Example = TypedDict("Example", {"rec": List["Example"]}) e: Example reveal_type(e) # N: Revealed type is "TypedDict('__main__.Example', {'rec': builtins.list[...]})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecursiveNamedTupleWithList] from typing import List, NamedTuple Example = NamedTuple("Example", [("rec", List["Example"])]) e: Example reveal_type(e) # N: Revealed type is "tuple[builtins.list[...], fallback=__main__.Example]" [builtins fixtures/tuple.pyi] [case testRecursiveBoundFunctionScopeNoCrash] from typing import TypeVar, Union, Dict def dummy() -> None: A = Union[str, Dict[str, "A"]] # E: Cannot resolve name "A" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope T = TypeVar("T", bound=A) def bar(x: T) -> T: pass reveal_type(bar) # N: Revealed type is "def [T <: Union[builtins.str, builtins.dict[builtins.str, Any]]] (x: T`-1) -> T`-1" [builtins fixtures/dict.pyi] [case testForwardBoundFunctionScopeWorks] from typing import TypeVar, Dict def dummy() -> None: A = Dict[str, "B"] B = Dict[str, str] T = TypeVar("T", bound=A) def bar(x: T) -> T: pass reveal_type(bar) # N: Revealed type is "def [T <: builtins.dict[builtins.str, builtins.dict[builtins.str, builtins.str]]] (x: T`-1) -> T`-1" [builtins fixtures/dict.pyi] [case testAliasRecursiveUnpackMultiple] from typing import Tuple, TypeVar, Optional T = TypeVar("T") S = TypeVar("S") A = Tuple[T, S, Optional[A[T, S]]] x: A[int, str] *_, last = x if last is not None: reveal_type(last) # N: Revealed type is "tuple[builtins.int, builtins.str, Union[tuple[builtins.int, builtins.str, Union[..., None]], None]]" [builtins fixtures/tuple.pyi] [case testRecursiveAliasLiteral] from typing import Literal, Tuple NotFilter = Tuple[Literal["not"], "NotFilter"] n: NotFilter reveal_type(n[1][1][0]) # N: Revealed type is "Literal['not']" [builtins fixtures/tuple.pyi] [case testNoCrashOnRecursiveAliasWithNone] # flags: --strict-optional from typing import Union, Generic, TypeVar, Optional T = TypeVar("T") class A(Generic[T]): ... class B(Generic[T]): ... Z = Union[A[Z], B[Optional[Z]]] X = Union[A[Optional[X]], B[Optional[X]]] z: Z x: X reveal_type(z) # N: Revealed type is "Union[__main__.A[...], __main__.B[Union[..., None]]]" reveal_type(x) # N: Revealed type is "Union[__main__.A[Union[..., None]], __main__.B[Union[..., None]]]" [case testRecursiveTupleFallback1] from typing import NewType, Tuple, Union T1 = NewType("T1", str) T2 = Tuple[T1, "T4", "T4"] T3 = Tuple[str, "T4", "T4"] T4 = Union[T2, T3] [builtins fixtures/tuple.pyi] [case testRecursiveTupleFallback2] from typing import NewType, Tuple, Union T1 = NewType("T1", str) class T2(Tuple[T1, "T4", "T4"]): ... T3 = Tuple[str, "T4", "T4"] T4 = Union[T2, T3] [builtins fixtures/tuple.pyi] [case testRecursiveTupleFallback3] from typing import NewType, Tuple, Union T1 = NewType("T1", str) T2 = Tuple[T1, "T4", "T4"] class T3(Tuple[str, "T4", "T4"]): ... T4 = Union[T2, T3] [builtins fixtures/tuple.pyi] [case testRecursiveTupleFallback4] from typing import NewType, Tuple, Union T1 = NewType("T1", str) class T2(Tuple[T1, "T4", "T4"]): ... class T3(Tuple[str, "T4", "T4"]): ... T4 = Union[T2, T3] [builtins fixtures/tuple.pyi] [case testRecursiveTupleFallback5] from typing import Protocol, Tuple, Union class Proto(Protocol): def __len__(self) -> int: ... A = Union[Proto, Tuple[A]] ta: Tuple[A] p: Proto p = ta [builtins fixtures/tuple.pyi] [case testRecursiveAliasesWithAnyUnimported] # flags: --disallow-any-unimported from typing import Callable from bogus import Foo # type: ignore A = Callable[[Foo, "B"], Foo] # E: Type alias target becomes "Callable[[Any, B], Any]" due to an unfollowed import B = Callable[[Foo, A], Foo] # E: Type alias target becomes "Callable[[Any, A], Any]" due to an unfollowed import [case testRecursiveAliasOnArgumentDetected] from typing import TypeVar T = TypeVar("T") L = list[T] A = L[A] a: A = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "A") [case testRecursiveAliasInstanceOverlapCheck] # flags: --warn-unreachable from typing_extensions import TypeAlias OneClass: TypeAlias = 'list[OneClass]' class TwoClass(list['TwoClass']): pass def f(obj: OneClass) -> None: if isinstance(obj, TwoClass): reveal_type(obj) # N: Revealed type is "__main__.TwoClass" else: reveal_type(obj) # N: Revealed type is "builtins.list[...]" [builtins fixtures/isinstancelist.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-redefine.test0000644000175100017510000004133615112307767020670 0ustar00runnerrunner-- Test cases for the redefinition of variable with a different type. -- Redefine local variable -- ----------------------- [case testRedefineLocalWithDifferentType] # flags: --allow-redefinition def f() -> None: x = 0 reveal_type(x) # N: Revealed type is "builtins.int" x = '' reveal_type(x) # N: Revealed type is "builtins.str" [case testCannotConditionallyRedefineLocalWithDifferentType] # flags: --allow-redefinition def f() -> None: y = 0 reveal_type(y) # N: Revealed type is "builtins.int" if int(): y = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.int" [case testRedefineFunctionArg] # flags: --allow-redefinition def f(x: int) -> None: g(x) x = '' reveal_type(x) # N: Revealed type is "builtins.str" def g(x: int) -> None: if int(): x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" [case testRedefineAnnotationOnly] # flags: --allow-redefinition def f() -> None: x: int x = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" def g() -> None: x: int x = 1 reveal_type(x) # N: Revealed type is "builtins.int" x = '' reveal_type(x) # N: Revealed type is "builtins.str" [case testRedefineLocalUsingOldValue] # flags: --allow-redefinition from typing import TypeVar, Union T = TypeVar('T') def f(x: int) -> None: x = g(x) reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" y = 1 y = g(y) reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" def g(x: T) -> Union[T, str]: pass [case testRedefineLocalForLoopIndexVariable] # flags: --allow-redefinition from typing import Iterable def f(a: Iterable[int], b: Iterable[str]) -> None: for x in a: x = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" for x in b: x = 1 \ # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type(x) # N: Revealed type is "builtins.str" def g(a: Iterable[int]) -> None: for x in a: pass x = '' def h(a: Iterable[int]) -> None: x = '' reveal_type(x) # N: Revealed type is "builtins.str" for x in a: pass [case testCannotRedefineLocalWithinTry] # flags: --allow-redefinition def g(): pass def f() -> None: try: x = 0 x g() # Might raise an exception x = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") except: pass reveal_type(x) # N: Revealed type is "builtins.int" y = 0 y y = '' [case testRedefineLocalWithinTryClauses] # flags: --allow-redefinition def fn_str(_: str) -> int: ... def fn_int(_: int) -> None: ... def in_block() -> None: try: a = "" a = fn_str(a) # E: Incompatible types in assignment (expression has type "int", variable has type "str") fn_int(a) # E: Argument 1 to "fn_int" has incompatible type "str"; expected "int" except: b = "" b = fn_str(b) fn_int(b) else: c = "" c = fn_str(c) fn_int(c) finally: d = "" d = fn_str(d) fn_int(d) reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(b) # N: Revealed type is "builtins.int" reveal_type(c) # N: Revealed type is "builtins.int" reveal_type(d) # N: Revealed type is "builtins.int" def across_blocks() -> None: try: a = "" except: pass else: a = fn_str(a) # E: Incompatible types in assignment (expression has type "int", variable has type "str") reveal_type(a) # N: Revealed type is "builtins.str" [case testRedefineLocalExceptVar] # flags: --allow-redefinition def fn_exc(_: Exception) -> str: ... def exc_name() -> None: try: pass except RuntimeError as e: e = fn_exc(e) [builtins fixtures/exception.pyi] [case testRedefineNestedInTry] # flags: --allow-redefinition def fn_int(_: int) -> None: ... try: try: ... finally: a = "" a = 5 # E: Incompatible types in assignment (expression has type "int", variable has type "str") fn_int(a) # E: Argument 1 to "fn_int" has incompatible type "str"; expected "int" except: pass [case testRedefineLocalWithinWith] # flags: --allow-redefinition def f() -> None: with g(): x = 0 x g() # Might raise an exception, but we ignore this x = '' reveal_type(x) # N: Revealed type is "builtins.str" y = 0 y y = '' def g(): pass [case testCannotRedefineAcrossNestedFunction] # flags: --allow-redefinition def f() -> None: x = 0 x def g() -> None: x g() x = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") g() y = 0 y y = '' [case testCannotRedefineAcrossNestedDecoratedFunction] # flags: --allow-redefinition def dec(f): return f def f() -> None: x = 0 x @dec def g() -> None: x g() x = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") g() y = 0 y y = '' [case testCannotRedefineAcrossNestedOverloadedFunction] # flags: --allow-redefinition from typing import overload def f() -> None: x = 0 x @overload def g() -> None: pass @overload def g(x: int) -> None: pass def g(x=0): pass g() x = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") g() y = 0 y y = '' [case testRedefineLocalInMultipleAssignment] # flags: --allow-redefinition def f() -> None: x, x = 1, '' reveal_type(x) # N: Revealed type is "builtins.str" x = object() reveal_type(x) # N: Revealed type is "builtins.object" def g() -> None: x = 1 if 1: x, x = '', 1 \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testRedefineUnderscore] # flags: --allow-redefinition def f() -> None: _, _ = 1, '' if 1: _, _ = '', 1 # This is unintentional but probably fine. No one is going to read _ value. reveal_type(_) # N: Revealed type is "builtins.int" [case testRedefineWithBreakAndContinue] # flags: --allow-redefinition def f() -> None: y = 0 y while int(): z = 0 z z = '' x = 0 if int(): break x = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" y = '' def g() -> None: y = 0 y for a in h(): z = 0 z z = '' x = 0 if int(): continue x = '' \ # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" y = '' def h(): pass [case testRedefineLocalAndNestedLoops] # flags: --allow-redefinition def f() -> None: z = 0 z while int(): x = 0 x while int(): if 1: y = 1 y if int(): break y = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") x = '' z = '' [case testCannotRedefineVarAsFunction] # flags: --allow-redefinition def f() -> None: def x(): pass x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "Callable[[], Any]") reveal_type(x) # N: Revealed type is "def () -> Any" y = 1 def y(): pass # E: Name "y" already defined on line 6 [case testCannotRedefineVarAsClass] # flags: --allow-redefinition def f() -> None: class x: pass x = 1 # E: Cannot assign to a type \ # E: Incompatible types in assignment (expression has type "int", variable has type "type[x]") y = 1 class y: pass # E: Name "y" already defined on line 5 [case testRedefineVarAsTypeVar] # flags: --allow-redefinition from typing import TypeVar def f() -> None: x = TypeVar('x') x = 1 # E: Invalid assignment target \ # E: Incompatible types in assignment (expression has type "int", variable has type "TypeVar") reveal_type(x) # N: Revealed type is "typing.TypeVar" y = 1 y = TypeVar('y') # E: Cannot redefine "y" as a type variable \ # E: Incompatible types in assignment (expression has type "TypeVar", variable has type "int") def h(a: y) -> y: return a # E: Variable "y" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testCannotRedefineVarAsModule] # flags: --allow-redefinition def f() -> None: import typing as m m = 1 # E: Incompatible types in assignment (expression has type "int", variable has type Module) n = 1 import typing as n # E: Incompatible import of "n" (imported name has type Module, local name has type "int") [builtins fixtures/module.pyi] [typing fixtures/typing-full.pyi] [case testRedefineLocalWithTypeAnnotation] # flags: --allow-redefinition def f() -> None: x = 1 reveal_type(x) # N: Revealed type is "builtins.int" x = '' # type: object reveal_type(x) # N: Revealed type is "builtins.object" def g() -> None: x = 1 reveal_type(x) # N: Revealed type is "builtins.int" x: object = '' reveal_type(x) # N: Revealed type is "builtins.object" def h() -> None: x: int x = 1 reveal_type(x) # N: Revealed type is "builtins.int" x: object x: object = '' # E: Name "x" already defined on line 16 def farg(x: int) -> None: x: str = '' # E: Name "x" already defined on line 18 def farg2(x: int) -> None: x: str = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testRedefineLocalWithTypeAnnotationSpecialCases] # flags: --allow-redefinition def f() -> None: x: object x = 1 if int(): x = '' reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" x = '' reveal_type(x) # N: Revealed type is "builtins.str" if int(): x = 2 \ # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testCannotRedefineSelf] # flags: --allow-redefinition class A: x = 0 def f(self) -> None: reveal_type(self.x) # N: Revealed type is "builtins.int" self = f() self.y: str = '' reveal_type(self.y) # N: Revealed type is "builtins.str" def f() -> A: return A() -- Redefine global variable -- ------------------------ [case testRedefineGlobalWithDifferentType] # flags: --allow-redefinition import m reveal_type(m.x) [file m.py] x = 0 reveal_type(x) x = object() reveal_type(x) x = '' reveal_type(x) [out] tmp/m.py:2: note: Revealed type is "builtins.int" tmp/m.py:4: note: Revealed type is "builtins.object" tmp/m.py:6: note: Revealed type is "builtins.str" main:3: note: Revealed type is "builtins.str" [case testRedefineGlobalForIndex] # flags: --allow-redefinition import m reveal_type(m.x) [file m.py] from typing import Iterable def f(): pass it1: Iterable[int] = f() it2: Iterable[str] = f() for x in it1: reveal_type(x) for x in it2: reveal_type(x) reveal_type(x) [out] tmp/m.py:6: note: Revealed type is "builtins.int" tmp/m.py:8: note: Revealed type is "builtins.str" tmp/m.py:9: note: Revealed type is "builtins.str" main:3: note: Revealed type is "builtins.str" [case testRedefineGlobalBasedOnPreviousValues] # flags: --allow-redefinition from typing import TypeVar, Iterable T = TypeVar('T') def f(x: T) -> Iterable[T]: pass a = 0 a = f(a) reveal_type(a) # N: Revealed type is "typing.Iterable[builtins.int]" [case testRedefineGlobalWithSeparateDeclaration] # flags: --allow-redefinition x = '' reveal_type(x) # N: Revealed type is "builtins.str" x: int x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" x: object x = 1 reveal_type(x) # N: Revealed type is "builtins.int" if int(): x = object() [case testRedefineGlobalUsingForLoop] # flags: --allow-redefinition from typing import Iterable, TypeVar, Union T = TypeVar('T') def f(x: T) -> Iterable[Union[T, str]]: pass x = 0 reveal_type(x) # N: Revealed type is "builtins.int" for x in f(x): pass reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNoRedefinitionIfOnlyInitialized] # flags: --allow-redefinition --no-strict-optional x = None # type: int x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "int") x # Reference to variable x = '' y = 0 y = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testNoRedefinitionIfNoValueAssigned] # flags: --allow-redefinition x: int x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" x: object [case testNoRedefinitionIfExplicitlyDisallowed] # flags: --disallow-redefinition x = 0 x = 2 x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") def f() -> None: y = 0 y = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") class C: y = 0 y = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") def g() -> None: # _ is a special case _ = 0 _ = '' x, _ = 0, C() [builtins fixtures/tuple.pyi] [case testRedefineAsException] # flags: --allow-redefinition e = 1 reveal_type(e) # N: Revealed type is "builtins.int" try: pass except Exception as e: reveal_type(e) # N: Revealed type is "builtins.Exception" e = '' reveal_type(e) # N: Revealed type is "builtins.str" [builtins fixtures/exception.pyi] [case testRedefineUsingWithStatement] # flags: --allow-redefinition class A: def __enter__(self) -> int: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> str: ... def __exit__(self, x, y, z) -> None: ... with A() as x: reveal_type(x) # N: Revealed type is "builtins.int" with B() as x: x = 0 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testRedefineModuleAsException] import typing try: pass except Exception as typing: pass [builtins fixtures/exception.pyi] [typing fixtures/typing-full.pyi] [case testRedefiningUnderscoreFunctionIsntAnError] def _(arg): pass def _(arg): pass [case testTypeErrorsInUnderscoreFunctionsReported] def _(arg: str): x = arg + 1 # E: Unsupported left operand type for + ("str") def _(arg: int) -> int: return 'a' # E: Incompatible return value type (got "str", expected "int") [case testCallingUnderscoreFunctionIsNotAllowed-skip] # Skipped because of https://github.com/python/mypy/issues/11774 def _(arg: str) -> None: pass def _(arg: int) -> int: return arg _('a') # E: Calling function named "_" is not allowed y = _(5) # E: Calling function named "_" is not allowed [case testFunctionStillTypeCheckedWhenAliasedAsUnderscoreDuringImport] from a import f as _ _(1) # E: Argument 1 to "f" has incompatible type "int"; expected "str" reveal_type(_('a')) # N: Revealed type is "builtins.str" [file a.py] def f(arg: str) -> str: return arg [case testCallToFunctionStillTypeCheckedWhenAssignedToUnderscoreVariable] from a import g _ = g _('a') # E: Argument 1 has incompatible type "str"; expected "int" reveal_type(_(1)) # N: Revealed type is "builtins.int" [file a.py] def g(arg: int) -> int: return arg [case testRedefiningUnderscoreFunctionWithDecoratorWithUnderscoreFunctionsNextToEachOther] def dec(f): return f @dec def _(arg): pass @dec def _(arg): pass [case testRedefiningUnderscoreFunctionWithDecoratorInDifferentPlaces] def dec(f): return f def dec2(f): return f @dec def _(arg): pass def f(arg): pass @dec2 def _(arg): pass [case testOverwritingImportedFunctionThatWasAliasedAsUnderscore] from a import f as _ def _(arg: str) -> str: # E: Name "_" already defined (possibly by an import) return arg [file a.py] def f(s: str) -> str: return s ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-redefine2.test0000644000175100017510000010265315112307767020752 0ustar00runnerrunner-- Test cases for the redefinition of variable with a different type (new version). [case testNewRedefineLocalWithDifferentType] # flags: --allow-redefinition-new --local-partial-types def f() -> None: x = 0 reveal_type(x) # N: Revealed type is "builtins.int" x = '' reveal_type(x) # N: Revealed type is "builtins.str" [case testNewRedefineConditionalLocalWithDifferentType] # flags: --allow-redefinition-new --local-partial-types def f() -> None: if int(): x = 0 reveal_type(x) # N: Revealed type is "builtins.int" else: x = '' reveal_type(x) # N: Revealed type is "builtins.str" [case testNewRedefineMergeConditionalLocal1] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: if int(): x = 0 else: x = '' reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f2() -> None: if int(): x = 0 else: x = None reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" [case testNewRedefineMergeConditionalLocal2] # flags: --allow-redefinition-new --local-partial-types def nested_ifs() -> None: if int(): if int(): x = 0 else: x = '' reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" else: if int(): x = None else: x = b"" reveal_type(x) # N: Revealed type is "Union[None, builtins.bytes]" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None, builtins.bytes]" [case testNewRedefineUninitializedCodePath1] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: if int(): x = 0 reveal_type(x) # N: Revealed type is "builtins.int" x = "" reveal_type(x) # N: Revealed type is "builtins.str" [case testNewRedefineUninitializedCodePath2] # flags: --allow-redefinition-new --local-partial-types from typing import Union def f1() -> None: if int(): x: Union[int, str] = 0 reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" x = "" reveal_type(x) # N: Revealed type is "builtins.str" [case testNewRedefineUninitializedCodePath3] # flags: --allow-redefinition-new --local-partial-types from typing import Union def f1() -> None: if int(): x = 0 elif int(): x = "" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNewRedefineUninitializedCodePath4] # flags: --allow-redefinition-new --local-partial-types from typing import Union def f1() -> None: if int(): x: Union[int, str] = 0 reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNewRedefineUninitializedCodePath5] # flags: --allow-redefinition-new --local-partial-types from typing import Union def f1() -> None: x = 0 if int(): x = "" reveal_type(x) # N: Revealed type is "builtins.str" x = None reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" [case testNewRedefineUninitializedCodePath6] # flags: --allow-redefinition-new --local-partial-types from typing import Union x: Union[str, None] def f1() -> None: if x is not None: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" [case testNewRedefineGlobalVariableSimple] # flags: --allow-redefinition-new --local-partial-types if int(): x = 0 reveal_type(x) # N: Revealed type is "builtins.int" else: x = "" reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f1() -> None: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f2() -> None: global x reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" x = 0 reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNewRedefineGlobalVariableNoneInit] # flags: --allow-redefinition-new --local-partial-types x = None def f() -> None: global x reveal_type(x) # N: Revealed type is "None" x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "None") reveal_type(x) # N: Revealed type is "None" reveal_type(x) # N: Revealed type is "None" [case testNewRedefineParameterTypes] # flags: --allow-redefinition-new --local-partial-types from typing import Optional def f1(x: Optional[str] = None) -> None: reveal_type(x) # N: Revealed type is "Union[builtins.str, None]" if x is None: x = "" reveal_type(x) # N: Revealed type is "builtins.str" def f2(*args: str, **kwargs: int) -> None: reveal_type(args) # N: Revealed type is "builtins.tuple[builtins.str, ...]" reveal_type(kwargs) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" class C: def m(self) -> None: reveal_type(self) # N: Revealed type is "__main__.C" [builtins fixtures/dict.pyi] [case testNewRedefineClassBody] # flags: --allow-redefinition-new --local-partial-types class C: if int(): x = 0 reveal_type(x) # N: Revealed type is "builtins.int" else: x = "" reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(C.x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNewRedefineNestedFunctionBasics] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: if int(): x = 0 else: x = "" def nested() -> None: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f2() -> None: if int(): x = 0 else: x = "" def nested() -> None: nonlocal x reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" x = 0 reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNewRedefineLambdaBasics] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: x = 0 if int(): x = None f = lambda: reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" reveal_type(f) # N: Revealed type is "def () -> Union[builtins.int, None]" if x is None: x = "" f = lambda: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(f) # N: Revealed type is "def () -> Union[builtins.int, builtins.str]" [case testNewRedefineAssignmentExpression] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: if x := int(): reveal_type(x) # N: Revealed type is "builtins.int" elif x := str(): reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f2() -> None: if x := int(): reveal_type(x) # N: Revealed type is "builtins.int" elif x := str(): reveal_type(x) # N: Revealed type is "builtins.str" else: pass reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f3() -> None: if (x := int()) or (x := str()): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNewRedefineOperatorAssignment] # flags: --allow-redefinition-new --local-partial-types class D: pass class C: def __add__(self, x: C) -> D: ... c = C() if int(): c += C() reveal_type(c) # N: Revealed type is "__main__.D" reveal_type(c) # N: Revealed type is "Union[__main__.C, __main__.D]" [case testNewRedefineImportFrom-xfail] # flags: --allow-redefinition-new --local-partial-types if int(): from m import x else: # TODO: This could be useful to allow from m import y as x # E: Incompatible import of "x" (imported name has type "str", local name has type "int") reveal_type(x) # N: Revealed type is "builtins.int" if int(): from m import y else: y = 1 reveal_type(y) # N: Revealed type is "Union[builtins.str, builtins.int]" [file m.py] x = 1 y = "" [case testNewRedefineImport] # flags: --allow-redefinition-new --local-partial-types if int(): import m else: import m2 as m # E: Name "m" already defined (by an import) m.x m.y # E: Module has no attribute "y" [file m.py] x = 1 [file m2.py] y = "" [builtins fixtures/module.pyi] [case testNewRedefineOptionalTypesSimple] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: x = None if int(): x = "" reveal_type(x) # N: Revealed type is "Union[None, builtins.str]" def f2() -> None: if int(): x = None elif int(): x = "" else: x = 1 reveal_type(x) # N: Revealed type is "Union[None, builtins.str, builtins.int]" def f3() -> None: if int(): x = None else: x = "" reveal_type(x) # N: Revealed type is "Union[None, builtins.str]" def f4() -> None: x = None reveal_type(x) # N: Revealed type is "None" y = None if int(): y = 1 reveal_type(y) # N: Revealed type is "Union[None, builtins.int]" if int(): z = None elif int(): z = 1 else: z = "" reveal_type(z) # N: Revealed type is "Union[None, builtins.int, builtins.str]" [case testNewRedefinePartialTypeForInstanceVariable] # flags: --allow-redefinition-new --local-partial-types class C1: def __init__(self) -> None: self.x = None if int(): self.x = 1 reveal_type(self.x) # N: Revealed type is "builtins.int" reveal_type(self.x) # N: Revealed type is "Union[builtins.int, None]" reveal_type(C1().x) # N: Revealed type is "Union[builtins.int, None]" class C2: def __init__(self) -> None: self.x = [] for i in [1, 2]: self.x.append(i) reveal_type(self.x) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(C2().x) # N: Revealed type is "builtins.list[builtins.int]" class C3: def __init__(self) -> None: self.x = None if int(): self.x = 1 else: self.x = "" # E: Incompatible types in assignment (expression has type "str", variable has type "Optional[int]") reveal_type(self.x) # N: Revealed type is "Union[builtins.int, None]" reveal_type(C3().x) # N: Revealed type is "Union[builtins.int, None]" class C4: def __init__(self) -> None: self.x = [] if int(): self.x = [""] reveal_type(self.x) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(C4().x) # N: Revealed type is "builtins.list[builtins.str]" class C5: def __init__(self) -> None: if int(): self.x = None return self.x = [""] reveal_type(self.x) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(C5().x) # N: Revealed type is "Union[builtins.list[builtins.str], None]" [builtins fixtures/list.pyi] [case testNewRedefinePartialGenericTypes] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: a = [] a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" def f2() -> None: a = [] a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" a = [""] reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" def f3() -> None: a = [] a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" a = [] reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" def f4() -> None: a = [] a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" # Partial types are currently not supported on reassignment a = [] a.append("x") # E: Argument 1 to "append" of "list" has incompatible type "str"; expected "int" reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" def f5() -> None: if int(): a = [] a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" else: b = [""] a = b reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(a) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.list[builtins.str]]" def f6() -> None: a = [] a.append(1) reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" b = [""] a = b reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/list.pyi] [case testNewRedefineFinalLiteral] # flags: --allow-redefinition-new --local-partial-types from typing import Final, Literal x: Final = "foo" reveal_type(x) # N: Revealed type is "Literal['foo']?" a: Literal["foo"] = x class B: x: Final = "bar" a: Literal["bar"] = x reveal_type(B.x) # N: Revealed type is "Literal['bar']?" [builtins fixtures/tuple.pyi] [case testNewRedefineAnnotatedVariable] # flags: --allow-redefinition-new --local-partial-types from typing import Optional def f1() -> None: x: int = 0 if int(): x = "" # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "builtins.int" def f2(x: Optional[str]) -> None: if x is not None: reveal_type(x) # N: Revealed type is "builtins.str" else: x = "" reveal_type(x) # N: Revealed type is "builtins.str" def f3() -> None: a: list[Optional[str]] = [""] reveal_type(a) # N: Revealed type is "builtins.list[Union[builtins.str, None]]" a = [""] reveal_type(a) # N: Revealed type is "builtins.list[Union[builtins.str, None]]" class C: x: Optional[str] def f(self) -> None: if self.x is not None: reveal_type(self.x) # N: Revealed type is "builtins.str" else: self.x = "" reveal_type(self.x) # N: Revealed type is "builtins.str" [case testNewRedefineAnyType1] # flags: --allow-redefinition-new --local-partial-types def a(): pass def f1() -> None: if int(): x = "" else: x = a() reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "Union[builtins.str, Any]" x = 1 reveal_type(x) # N: Revealed type is "builtins.int" def f2() -> None: if int(): x = a() else: x = "" reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[Any, builtins.str]" x = 1 reveal_type(x) # N: Revealed type is "builtins.int" def f3() -> None: x = 1 x = a() reveal_type(x) # N: Revealed type is "Any" x = "" reveal_type(x) # N: Revealed type is "builtins.str" def f4() -> None: x = a() x = 1 reveal_type(x) # N: Revealed type is "builtins.int" x = a() reveal_type(x) # N: Revealed type is "Any" def f5() -> None: x = a() if int(): x = 1 reveal_type(x) # N: Revealed type is "builtins.int" elif int(): x = "" reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[Any, builtins.int, builtins.str]" def f6() -> None: x = a() if int(): x = 1 else: x = "" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f7() -> None: x: int x = a() reveal_type(x) # N: Revealed type is "builtins.int" [case testNewRedefineAnyType2] # flags: --allow-redefinition-new --local-partial-types from typing import Any def f1() -> None: x: Any x = int() reveal_type(x) # N: Revealed type is "Any" def f2() -> None: x: Any if int(): x = 0 reveal_type(x) # N: Revealed type is "Any" else: x = "" reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "Any" def f3(x) -> None: if int(): x = 0 reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "Any" [case tetNewRedefineDel] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: x = "" reveal_type(x) # N: Revealed type is "builtins.str" del x reveal_type(x) # N: Revealed type is "" x = 0 reveal_type(x) # N: Revealed type is "builtins.int" def f2() -> None: if int(): x = 0 del x else: x = "" reveal_type(x) # N: Revealed type is "builtins.str" def f3() -> None: if int(): x = 0 else: x = "" del x reveal_type(x) # N: Revealed type is "builtins.int" def f4() -> None: while int(): if int(): x: int = 0 else: del x reveal_type(x) # N: Revealed type is "builtins.int" def f5() -> None: while int(): if int(): x = 0 else: del x continue x = "" reveal_type(x) # N: Revealed type is "builtins.str" [case testNewRedefineWhileLoopSimple] # flags: --allow-redefinition-new --local-partial-types def f() -> None: while int(): x = "" reveal_type(x) # N: Revealed type is "builtins.str" x = 0 reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "builtins.int" while int(): x = None reveal_type(x) # N: Revealed type is "None" x = b"" reveal_type(x) # N: Revealed type is "builtins.bytes" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.bytes]" x = [1] reveal_type(x) # N: Revealed type is "builtins.list[builtins.int]" [case testNewRedefineWhileLoopOptional] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: x = None while int(): if int(): x = "" reveal_type(x) # N: Revealed type is "Union[None, builtins.str]" def f2() -> None: x = None while int(): reveal_type(x) # N: Revealed type is "Union[None, builtins.str]" if int(): x = "" reveal_type(x) # N: Revealed type is "Union[None, builtins.str]" [case testNewRedefineWhileLoopPartialType] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: x = [] while int(): x.append(1) reveal_type(x) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/list.pyi] [case testNewRedefineWhileLoopComplex1] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: while True: try: pass except Exception as e: continue [builtins fixtures/exception.pyi] [case testNewRedefineWhileLoopComplex2] # flags: --allow-redefinition-new --local-partial-types class C: def __enter__(self) -> str: ... def __exit__(self, *args) -> str: ... def f1() -> None: while True: with C() as x: continue def f2() -> None: while True: from m import y if int(): continue [file m.py] y = "" [builtins fixtures/tuple.pyi] [case testNewRedefineReturn] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: if int(): x = 0 return else: x = "" reveal_type(x) # N: Revealed type is "builtins.str" def f2() -> None: if int(): x = "" else: x = 0 return reveal_type(x) # N: Revealed type is "builtins.str" [case testNewRedefineBreakAndContinue] # flags: --allow-redefinition-new --local-partial-types def b() -> None: while int(): x = "" if int(): x = 1 break reveal_type(x) # N: Revealed type is "builtins.str" x = None reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" def c() -> None: x = 0 while int(): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" if int(): x = "" continue else: x = None reveal_type(x) # N: Revealed type is "None" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" [case testNewRedefineUnderscore] # flags: --allow-redefinition-new --local-partial-types def f() -> None: if int(): _ = 0 reveal_type(_) # N: Revealed type is "builtins.int" else: _ = "" reveal_type(_) # N: Revealed type is "builtins.str" reveal_type(_) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNewRedefineWithStatement] # flags: --allow-redefinition-new --local-partial-types class C: def __enter__(self) -> int: ... def __exit__(self, x, y, z): ... class D: def __enter__(self) -> str: ... def __exit__(self, x, y, z): ... def f1() -> None: with C() as x: reveal_type(x) # N: Revealed type is "builtins.int" with D() as x: reveal_type(x) # N: Revealed type is "builtins.str" def f2() -> None: if int(): with C() as x: reveal_type(x) # N: Revealed type is "builtins.int" else: with D() as x: reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testNewRedefineTryStatement] # flags: --allow-redefinition-new --local-partial-types class E(Exception): pass def g(): ... def f1() -> None: try: x = 1 g() x = "" reveal_type(x) # N: Revealed type is "builtins.str" except RuntimeError as e: reveal_type(e) # N: Revealed type is "builtins.RuntimeError" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" except E as e: reveal_type(e) # N: Revealed type is "__main__.E" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(e) # N: Revealed type is "" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f2() -> None: try: x = 1 if int(): x = "" return except Exception: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" return reveal_type(x) # N: Revealed type is "builtins.int" def f3() -> None: try: x = 1 if int(): x = "" return finally: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(x) # N: Revealed type is "builtins.int" def f4() -> None: while int(): try: x = 1 if int(): x = "" break if int(): while int(): if int(): x = None break finally: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/exception.pyi] [case testNewRedefineRaiseStatement] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: if int(): x = "" elif int(): x = None raise Exception() else: x = 1 reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" def f2() -> None: try: x = 1 if int(): x = "" raise Exception() reveal_type(x) # N: Revealed type is "builtins.int" except Exception: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/exception.pyi] [case testNewRedefineMultipleAssignment] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: x, y = 1, "" reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.str" x, y = None, 2 reveal_type(x) # N: Revealed type is "None" reveal_type(y) # N: Revealed type is "builtins.int" def f2() -> None: if int(): x, y = 1, "" reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.str" else: x, y = None, 2 reveal_type(x) # N: Revealed type is "None" reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" reveal_type(y) # N: Revealed type is "Union[builtins.str, builtins.int]" [case testNewRedefineForLoopBasics] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: for x in [1]: reveal_type(x) # N: Revealed type is "builtins.int" for x in [""]: reveal_type(x) # N: Revealed type is "builtins.str" def f2() -> None: if int(): for x, y in [(1, "x")]: reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.str" else: for x, y in [(None, 1)]: reveal_type(x) # N: Revealed type is "None" reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[builtins.int, None]" reveal_type(y) # N: Revealed type is "Union[builtins.str, builtins.int]" [builtins fixtures/for.pyi] [case testNewRedefineForLoop1] # flags: --allow-redefinition-new --local-partial-types def l() -> list[int]: return [] def f1() -> None: x = "" for x in l(): reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.int]" def f2() -> None: for x in [1, 2]: x = [x] reveal_type(x) # N: Revealed type is "builtins.list[builtins.int]" def f3() -> None: for x in [1, 2]: if int(): x = "x" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/for.pyi] [case testNewRedefineForLoop2] # flags: --allow-redefinition-new --local-partial-types from typing import Any def f(a: Any) -> None: for d in a: if isinstance(d["x"], str): return [builtins fixtures/isinstance.pyi] [case testNewRedefineForStatementIndexNarrowing] # flags: --allow-redefinition-new --local-partial-types from typing import TypedDict class X(TypedDict): hourly: int daily: int x: X for a in ("hourly", "daily"): reveal_type(a) # N: Revealed type is "Union[Literal['hourly']?, Literal['daily']?]" reveal_type(x[a]) # N: Revealed type is "builtins.int" reveal_type(a.upper()) # N: Revealed type is "builtins.str" c = a reveal_type(c) # N: Revealed type is "builtins.str" a = "monthly" reveal_type(a) # N: Revealed type is "builtins.str" a = "yearly" reveal_type(a) # N: Revealed type is "builtins.str" a = 1 reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(a) # N: Revealed type is "builtins.int" b: str for b in ("hourly", "daily"): reveal_type(b) # N: Revealed type is "builtins.str" reveal_type(b.upper()) # N: Revealed type is "builtins.str" [builtins fixtures/for.pyi] [typing fixtures/typing-full.pyi] [case testNewRedefineForLoopIndexWidening] # flags: --allow-redefinition-new --local-partial-types def f1() -> None: for x in [1]: reveal_type(x) # N: Revealed type is "builtins.int" x = "" reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "builtins.str" def f2() -> None: for x in [1]: reveal_type(x) # N: Revealed type is "builtins.int" if int(): break x = "" reveal_type(x) # N: Revealed type is "builtins.str" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" def f3() -> None: if int(): for x in [1]: x = "" reveal_type(x) # N: Revealed type is "builtins.str" [case testNewRedefineVariableAnnotatedInLoop] # flags: --allow-redefinition-new --local-partial-types --enable-error-code=redundant-expr from typing import Optional def f1() -> None: e: Optional[str] = None for x in ["a"]: if e is None and int(): e = x continue elif e is not None and int(): break reveal_type(e) # N: Revealed type is "Union[builtins.str, None]" reveal_type(e) # N: Revealed type is "Union[builtins.str, None]" def f2(e: Optional[str]) -> None: for x in ["a"]: if e is None and int(): e = x continue elif e is not None and int(): break reveal_type(e) # N: Revealed type is "Union[builtins.str, None]" reveal_type(e) # N: Revealed type is "Union[builtins.str, None]" [case testNewRedefineLoopAndPartialTypesSpecialCase] # flags: --allow-redefinition-new --local-partial-types def f() -> list[str]: a = [] # type: ignore o = [] for line in ["x"]: if int(): continue if int(): a = [] if int(): a.append(line) else: o.append(line) return o [builtins fixtures/list.pyi] [case testNewRedefineFinalVariable] # flags: --allow-redefinition-new --local-partial-types from typing import Final x: Final = "foo" x = 1 # E: Cannot assign to final name "x" \ # E: Incompatible types in assignment (expression has type "int", variable has type "str") class C: y: Final = "foo" y = 1 # E: Cannot assign to final name "y" \ # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testNewRedefineEnableUsingComment] # flags: --local-partial-types import a import b [file a.py] # mypy: allow-redefinition-new if int(): x = 0 else: x = "" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [file b.py] if int(): x = 0 else: x = "" # E: Incompatible types in assignment (expression has type "str", variable has type "int") reveal_type(x) # N: Revealed type is "builtins.int" [case testNewRedefineWithoutLocalPartialTypes] import a import b [file a.py] # mypy: local-partial-types, allow-redefinition-new x = 0 if int(): x = "" [file b.py] # mypy: allow-redefinition-new x = 0 if int(): x = "" [out] tmp/b.py:1: error: --local-partial-types must be enabled if using --allow-redefinition-new [case testNewRedefineNestedLoopInfiniteExpansion] # flags: --allow-redefinition-new --local-partial-types def a(): ... def f() -> None: while int(): x = a() while int(): x = [x] reveal_type(x) # N: Revealed type is "Union[Any, builtins.list[Any]]" [case testNewRedefinePartialNoneEmptyList] # flags: --allow-redefinition-new --local-partial-types def func() -> None: l = None if int(): l = [] # E: Need type annotation for "l" l.append(1) reveal_type(l) # N: Revealed type is "Union[None, builtins.list[Any]]" [builtins fixtures/list.pyi] [case testNewRedefineNarrowingSpecialCase] # flags: --allow-redefinition-new --local-partial-types --warn-unreachable from typing import Any, Union def get() -> Union[tuple[Any, Any], tuple[None, None]]: ... def f() -> None: x, _ = get() reveal_type(x) # N: Revealed type is "Union[Any, None]" if x and int(): reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "Union[Any, None]" if x and int(): reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testNewRedefinePartialTypeForUnderscore] # flags: --allow-redefinition-new --local-partial-types def t() -> tuple[int]: return (42,) def f1() -> None: # Underscore is slightly special to preserve backward compatibility x, *_ = t() reveal_type(x) # N: Revealed type is "builtins.int" def f2() -> None: x, *y = t() # E: Need type annotation for "y" (hint: "y: list[] = ...") def f3() -> None: x, _ = 1, [] def f4() -> None: a, b = 1, [] # E: Need type annotation for "b" (hint: "b: list[] = ...") [builtins fixtures/tuple.pyi] [case testNewRedefineUseInferredTypedDictTypeForContext] # flags: --allow-redefinition-new --local-partial-types from typing import TypedDict class TD(TypedDict): x: int def f() -> None: td = TD(x=1) if int(): td = {"x": 5} reveal_type(td) # N: Revealed type is "TypedDict('__main__.TD', {'x': builtins.int})" [typing fixtures/typing-typeddict.pyi] [case testNewRedefineEmptyGeneratorUsingUnderscore] # flags: --allow-redefinition-new --local-partial-types def f() -> None: gen = (_ for _ in ()) reveal_type(gen) # N: Revealed type is "typing.Generator[Any, None, None]" [builtins fixtures/tuple.pyi] [case testNewRedefineCannotWidenImportedVariable] # flags: --allow-redefinition-new --local-partial-types import a import b reveal_type(a.x) # N: Revealed type is "builtins.str" [file a.py] from b import x if int(): x = None # E: Incompatible types in assignment (expression has type "None", variable has type "str") [file b.py] x = "a" [case testNewRedefineCannotWidenGlobalOrClassVariableWithMemberRef] # flags: --allow-redefinition-new --local-partial-types from typing import ClassVar import a a.x = None # E: Incompatible types in assignment (expression has type "None", variable has type "str") reveal_type(a.x) # N: Revealed type is "builtins.str" class C: x = "" y: ClassVar[str] = "" C.x = None # E: Incompatible types in assignment (expression has type "None", variable has type "str") reveal_type(C.x) # N: Revealed type is "builtins.str" C.y = None # E: Incompatible types in assignment (expression has type "None", variable has type "str") reveal_type(C.y) # N: Revealed type is "builtins.str" [file a.py] x = "a" [case testNewRedefineWidenGlobalInInitModule] # flags: --allow-redefinition-new --local-partial-types import pkg [file pkg/__init__.py] x = 0 if int(): x = "" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-reports.test0000644000175100017510000002257115112307767020605 0ustar00runnerrunner[case testReportBasic] # flags: --xml-report out def f(): pass def g() -> None: pass [outfile out/index.xml] [case testLinePrecisionBasic] # flags: --lineprecision-report out def f(): pass def g() -> None: a = 1 [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 5 2 0 1 2 0 [case testLinePrecisionImpreciseType] # flags: --lineprecision-report out def f(x: list) -> None: pass [builtins fixtures/list.pyi] [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 2 0 1 0 1 0 [case testLinePrecisionUnanalyzed] # flags: --lineprecision-report out import sys MYPY = False if not MYPY: a = 1 def f(x: int) -> None: if isinstance(x, str): b = 1 c = 1 [builtins fixtures/isinstance.pyi] [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 10 5 0 0 2 3 [case testLinePrecisionEmptyLines] # flags: --lineprecision-report out def f() -> None: """docstring long """ x = 0 # comment y = 0 # comment (non-empty) [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 10 3 0 0 7 0 [case testLinePrecisionImportFrom] # flags: --lineprecision-report out --ignore-missing-imports from m import f from m import g from bad import foo from bad import ( # treated as a single line foo2, foo3, ) [file m.py] def f(): pass def g() -> None: pass [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 8 2 0 2 4 0 m 2 1 0 1 0 0 [case testLinePrecisionImport] # flags: --lineprecision-report out --ignore-missing-imports import m import bad import m, bad [file m.py] [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 4 1 0 2 1 0 m 0 0 0 0 0 0 [case testLinePrecisionStarImport] # flags: --lineprecision-report out --ignore-missing-imports from m import * from bad import * [file m.py] def f(): pass def g() -> None: pass [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 3 1 0 1 1 0 m 2 1 0 1 0 0 [case testLinePrecisionRelativeImport] # flags: --lineprecision-report out --ignore-missing-imports import a [file a/__init__.py] from .m import f from .bad import g [file a/m.py] def f(): pass [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 2 1 0 0 1 0 a 2 1 0 1 0 0 a.m 1 0 0 1 0 0 [case testLinePrecisionPassStatement] # flags: --lineprecision-report out def f() -> None: pass def g(): pass class C: pass [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 7 4 0 2 1 0 [case testLinePrecisionBreakAndContinueStatement] # flags: --lineprecision-report out import a import b [file a.py] def f() -> int: while f(): break return f() def g(): while g(): break [file b.py] def f() -> int: while f(): continue return f() def g(): while g(): continue [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 3 2 0 0 1 0 a 7 4 0 3 0 0 b 7 4 0 3 0 0 [case testLinePrecisionLiterals] # flags: --lineprecision-report out import str_lit import bytes_lit import int_lit import float_lit import true_lit import false_lit import none_lit import complex_lit import dots_lit [file str_lit.py] def f() -> object: return '' def g(): return '' [file bytes_lit.py] def f() -> object: return b'' def g(): return b'' [file int_lit.py] def f() -> object: return 1 def g(): return 1 [file float_lit.py] def f() -> object: return 1.1 def g(): return 1.1 [file true_lit.py] def f() -> object: return True def g(): return True [file false_lit.py] def f() -> object: return False def g(): return False [file none_lit.py] def f() -> object: return None def g(): return None [file complex_lit.py] def f() -> object: return None def g(): return None [file dots_lit.py] def f() -> object: return ... def g(): return ... [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ---------------------------------------------------------------- __main__ 10 9 0 0 1 0 bytes_lit 4 2 0 2 0 0 complex_lit 4 2 0 2 0 0 dots_lit 4 2 0 2 0 0 false_lit 4 2 0 2 0 0 float_lit 4 2 0 2 0 0 int_lit 4 2 0 2 0 0 none_lit 4 2 0 2 0 0 str_lit 4 2 0 2 0 0 true_lit 4 2 0 2 0 0 [case testLinePrecisionIfStatement] # flags: --lineprecision-report out if int(): x = 1 else: # This is treated as empty x = 2 [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 5 3 0 0 2 0 [case testLinePrecisionCallAnyArg] # flags: --lineprecision-report out from m import f def g() -> None: f(1) # Precise f(1, 2) # Any [file m.py] from typing import Any def f(x: int, y: Any = 0) -> None: pass [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 5 3 0 1 1 0 m 3 2 0 1 0 0 [case testLinePrecisionCallImpreciseArg] # flags: --lineprecision-report out from m import f def g() -> None: f(1) # Precise f(1, [2]) # Imprecise [file m.py] from typing import List, Any def f(x: int, y: List[Any] = []) -> None: pass [builtins fixtures/list.pyi] [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 5 3 1 0 1 0 m 3 2 1 0 0 0 [case testLinePrecisionCallAnyArgWithKeywords] # flags: --lineprecision-report out from m import f def g() -> None: f(x=1) # Precise f(x=1, z=1) # Precise f(z=1, x=1) # Precise f(y=1) # Any f(y=1, x=1) # Any [file m.py] from typing import Any def f(x: int = 0, y: Any = 0, z: int = 0) -> None: pass [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 8 5 0 2 1 0 m 3 2 0 1 0 0 [case testLinePrecisionCallAnyMethodArg] # flags: --lineprecision-report out from m import C def g(c: C) -> None: c.f(1) # Precise c.f(1, 2) # Any [file m.py] from typing import Any class C: def f(self, x: int, y: Any = 0) -> None: pass [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 5 3 0 1 1 0 m 4 3 0 1 0 0 [case testLinePrecisionCallAnyConstructorArg] # flags: --lineprecision-report out from m import C def g() -> None: C(1) # Precise C(1, 2) # Any [file m.py] from typing import Any class C: def __init__(self, x: int, y: Any = 0) -> None: pass [outfile out/lineprecision.txt] Name Lines Precise Imprecise Any Empty Unanalyzed ------------------------------------------------------------- __main__ 5 3 0 1 1 0 m 4 3 0 1 0 0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-selftype.test0000644000175100017510000020704715112307767020745 0ustar00runnerrunner[case testSelfTypeInstance] from typing import TypeVar T = TypeVar('T', bound='A', covariant=True) class A: def copy(self: T) -> T: pass class B(A): pass reveal_type(A().copy) # N: Revealed type is "def () -> __main__.A" reveal_type(B().copy) # N: Revealed type is "def () -> __main__.B" reveal_type(A().copy()) # N: Revealed type is "__main__.A" reveal_type(B().copy()) # N: Revealed type is "__main__.B" [builtins fixtures/bool.pyi] [case testSelfTypeStaticAccess] from typing import TypeVar T = TypeVar('T', bound='A', covariant=True) class A: def copy(self: T) -> T: pass class B(A): pass # Erased instances appear on reveal_type; unrelated to self type def f(a: A) -> None: pass f(A.copy(A())) f(A.copy(B())) f(B.copy(B())) # TODO: make it an error # f(B.copy(A())) def g(a: B) -> None: pass g(A.copy(A())) # E: Argument 1 to "g" has incompatible type "A"; expected "B" g(A.copy(B())) g(B.copy(B())) [builtins fixtures/bool.pyi] [case testSelfTypeReturn] from typing import TypeVar, Type R = TypeVar('R') def _type(self: R) -> Type[R]: pass T = TypeVar('T', bound='A', covariant=True) class A: def copy(self: T) -> T: if B(): return A() # E: Incompatible return value type (got "A", expected "T") elif A(): return B() # E: Incompatible return value type (got "B", expected "T") reveal_type(_type(self)) # N: Revealed type is "type[T`-1]" return reveal_type(_type(self)()) # N: Revealed type is "T`-1" class B(A): pass Q = TypeVar('Q', bound='C', covariant=True) class C: def __init__(self, a: int) -> None: pass def copy(self: Q) -> Q: if self: return reveal_type(_type(self)(1)) # N: Revealed type is "Q`-1" else: return _type(self)() # E: Missing positional argument "a" in call to "C" [builtins fixtures/bool.pyi] [case testSelfTypeClass] from typing import TypeVar, Type T = TypeVar('T', bound='A') class A: @classmethod def new(cls: Type[T]) -> T: return reveal_type(cls()) # N: Revealed type is "T`-1" class B(A): pass Q = TypeVar('Q', bound='C', covariant=True) class C: def __init__(self, a: int) -> None: pass @classmethod def new(cls: Type[Q]) -> Q: if cls: return cls(1) else: return cls() # E: Missing positional argument "a" in call to "C" reveal_type(A.new) # N: Revealed type is "def () -> __main__.A" reveal_type(B.new) # N: Revealed type is "def () -> __main__.B" reveal_type(A.new()) # N: Revealed type is "__main__.A" reveal_type(B.new()) # N: Revealed type is "__main__.B" [builtins fixtures/classmethod.pyi] [case testSelfTypeOverride] from typing import TypeVar, cast T = TypeVar('T', bound='A', covariant=True) class A: def copy(self: T) -> T: pass class B(A): pass Q = TypeVar('Q', bound='C', covariant=True) class C(A): def copy(self: Q) -> Q: pass reveal_type(C().copy) # N: Revealed type is "def () -> __main__.C" reveal_type(C().copy()) # N: Revealed type is "__main__.C" reveal_type(cast(A, C()).copy) # N: Revealed type is "def () -> __main__.A" reveal_type(cast(A, C()).copy()) # N: Revealed type is "__main__.A" [builtins fixtures/bool.pyi] [case testSelfTypeOverrideCompatibility] from typing import overload, TypeVar, Generic T = TypeVar("T") class A(Generic[T]): @overload def f(self: A[int]) -> int: ... @overload def f(self: A[str]) -> str: ... def f(self): ... class B(A[T]): @overload def f(self: A[int]) -> int: ... @overload def f(self: A[str]) -> str: ... def f(self): ... class B2(A[T]): @overload def f(self: A[int]) -> int: ... @overload def f(self: A[str]) -> str: ... @overload def f(self: A[bytes]) -> bytes: ... def f(self): ... class C(A[int]): def f(self) -> int: ... class D(A[str]): def f(self) -> int: ... # E: Return type "int" of "f" incompatible with return type "str" in supertype "A" class E(A[T]): def f(self) -> int: ... # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: @overload \ # N: def f(self) -> int \ # N: @overload \ # N: def f(self) -> str \ # N: Subclass: \ # N: def f(self) -> int class F(A[bytes]): # Note there's an argument to be made that this is actually compatible with the supertype def f(self) -> bytes: ... # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: @overload \ # N: def f(self) -> int \ # N: @overload \ # N: def f(self) -> str \ # N: Subclass: \ # N: def f(self) -> bytes class G(A): def f(self): ... class H(A[int]): def f(self): ... class I(A[int]): def f(*args): ... class J(A[int]): def f(self, arg) -> int: ... # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: def f(self) -> int \ # N: Subclass: \ # N: def f(self, arg: Any) -> int [builtins fixtures/tuple.pyi] [case testSelfTypeOverrideCompatibilityGeneric] from typing import TypeVar, Generic, overload T = TypeVar("T", str, int, None) class A(Generic[T]): @overload def f(self, s: T) -> T: ... @overload def f(self: A[str], s: bytes) -> str: ... def f(self, s: object): ... class B(A[int]): def f(self, s: int) -> int: ... class C(A[None]): def f(self, s: int) -> int: ... # E: Return type "int" of "f" incompatible with return type "None" in supertype "A" \ # E: Argument 1 of "f" is incompatible with supertype "A"; supertype defines the argument type as "None" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [builtins fixtures/tuple.pyi] [case testSelfTypeOverrideCompatibilityTypeVar] from typing import overload, TypeVar, Union AT = TypeVar("AT", bound="A") class A: @overload def f(self: AT, x: int) -> AT: ... @overload def f(self, x: str) -> None: ... @overload def f(self: AT) -> bytes: ... def f(*a, **kw): ... class B(A): @overload # E: Signature of "f" incompatible with supertype "A" \ # N: Superclass: \ # N: @overload \ # N: def f(self, x: int) -> B \ # N: @overload \ # N: def f(self, x: str) -> None \ # N: @overload \ # N: def f(self) -> bytes \ # N: Subclass: \ # N: @overload \ # N: def f(self, x: int) -> B \ # N: @overload \ # N: def f(self, x: str) -> None def f(self, x: int) -> B: ... @overload def f(self, x: str) -> None: ... def f(*a, **kw): ... [builtins fixtures/dict.pyi] [case testSelfTypeOverrideCompatibilitySelfTypeVar] from typing import Any, Generic, Self, TypeVar, overload T_co = TypeVar('T_co', covariant=True) class Config(Generic[T_co]): @overload def get(self, instance: None) -> Self: ... @overload def get(self, instance: Any) -> T_co: ... def get(self, *a, **kw): ... class MultiConfig(Config[T_co]): @overload def get(self, instance: None) -> Self: ... @overload def get(self, instance: Any) -> T_co: ... def get(self, *a, **kw): ... [builtins fixtures/dict.pyi] [case testSelfTypeSuper] from typing import TypeVar, cast T = TypeVar('T', bound='A', covariant=True) class A: def copy(self: T) -> T: pass Q = TypeVar('Q', bound='B', covariant=True) class B(A): def copy(self: Q) -> Q: reveal_type(self) # N: Revealed type is "Q`-1" reveal_type(super().copy) # N: Revealed type is "def () -> Q`-1" return super().copy() [builtins fixtures/bool.pyi] [case testSelfTypeRecursiveBinding] from typing import TypeVar, Callable, Type T = TypeVar('T', bound='A', covariant=True) class A: # TODO: This is potentially unsafe, as we use T in an argument type def copy(self: T, factory: Callable[[T], T]) -> T: return factory(self) @classmethod def new(cls: Type[T], factory: Callable[[T], T]) -> T: reveal_type(cls) # N: Revealed type is "type[T`-1]" reveal_type(cls()) # N: Revealed type is "T`-1" cls(2) # E: Too many arguments for "A" return cls() class B(A): pass reveal_type(A().copy) # N: Revealed type is "def (factory: def (__main__.A) -> __main__.A) -> __main__.A" reveal_type(B().copy) # N: Revealed type is "def (factory: def (__main__.B) -> __main__.B) -> __main__.B" reveal_type(A.new) # N: Revealed type is "def (factory: def (__main__.A) -> __main__.A) -> __main__.A" reveal_type(B.new) # N: Revealed type is "def (factory: def (__main__.B) -> __main__.B) -> __main__.B" [builtins fixtures/classmethod.pyi] [case testSelfTypeBound] from typing import TypeVar, Callable, cast TA = TypeVar('TA', bound='A', covariant=True) class A: def copy(self: TA) -> TA: pass class C(A): def copy(self: C) -> C: pass class D(A): def copy(self: A) -> A: # E: Return type "A" of "copy" incompatible with return type "D" in supertype "A" pass TB = TypeVar('TB', bound='B', covariant=True) class B(A): x = 1 def copy(self: TB) -> TB: reveal_type(self.x) # N: Revealed type is "builtins.int" return cast(TB, None) [builtins fixtures/bool.pyi] -- # TODO: fail for this -- [case testSelfTypeBare] -- from typing import TypeVar, Type -- -- T = TypeVar('T', bound='E') -- -- class E: -- def copy(self: T, other: T) -> T: pass [case testSelfTypeClone] from typing import TypeVar, Type T = TypeVar('T', bound='C') class C: def copy(self: T) -> T: return self @classmethod def new(cls: Type[T]) -> T: return cls() class D(C): pass reveal_type(D.new) # N: Revealed type is "def () -> __main__.D" reveal_type(D().new) # N: Revealed type is "def () -> __main__.D" reveal_type(D.new()) # N: Revealed type is "__main__.D" reveal_type(D().new()) # N: Revealed type is "__main__.D" Q = TypeVar('Q', bound=C) def clone(arg: Q) -> Q: reveal_type(arg.copy) # N: Revealed type is "def () -> Q`-1" reveal_type(arg.copy()) # N: Revealed type is "Q`-1" reveal_type(arg.new) # N: Revealed type is "def () -> Q`-1" reveal_type(arg.new()) # N: Revealed type is "Q`-1" return arg.copy() def make(cls: Type[Q]) -> Q: reveal_type(cls.new) # N: Revealed type is "def () -> Q`-1" reveal_type(cls().new) # N: Revealed type is "def () -> Q`-1" reveal_type(cls().new()) # N: Revealed type is "Q`-1" return cls.new() [builtins fixtures/classmethod.pyi] [case testSelfTypeGeneric] from typing import TypeVar T = TypeVar('T', int, str) class A: pass class B(A): def __init__(self, arg: T) -> None: super(B, self).__init__() [case testSelfTypeNonsensical] from typing import TypeVar, Type T = TypeVar('T', bound=str) class A: def foo(self: T) -> T: # E: The erased type of self "builtins.str" is not a supertype of its class "__main__.A" return self @classmethod def cfoo(cls: Type[T]) -> T: # E: The erased type of self "type[builtins.str]" is not a supertype of its class "type[__main__.A]" return cls() Q = TypeVar('Q', bound='B') class B: def foo(self: Q) -> Q: return self @classmethod def cfoo(cls: Type[Q]) -> Q: return cls() class C: def foo(self: C) -> C: return self @classmethod def cfoo(cls: Type[C]) -> C: return cls() class D: def foo(self: Q) -> Q: # E: The erased type of self "__main__.B" is not a supertype of its class "__main__.D" return self @staticmethod def bar(self: str) -> str: return self @classmethod def cfoo(cls: Type[Q]) -> Q: # E: The erased type of self "type[__main__.B]" is not a supertype of its class "type[__main__.D]" return cls() [builtins fixtures/classmethod.pyi] [case testSelfTypeLambdaDefault] from typing import Callable class C: @classmethod def foo(cls, arg: Callable[[int], str] = lambda a: '' ) -> None: pass def bar(self, arg: Callable[[int], str] = lambda a: '' ) -> None: pass [builtins fixtures/classmethod.pyi] [case testSelfTypeNew] from typing import TypeVar, Type T = TypeVar('T', bound='A') class A: def __new__(cls: Type[T]) -> T: return cls() def __init_subclass__(cls: Type[T]) -> None: pass class B: def __new__(cls: Type[T]) -> T: # E: The erased type of self "type[__main__.A]" is not a supertype of its class "type[__main__.B]" return cls() def __init_subclass__(cls: Type[T]) -> None: # E: The erased type of self "type[__main__.A]" is not a supertype of its class "type[__main__.B]" pass class C: def __new__(cls: Type[C]) -> C: return cls() def __init_subclass__(cls: Type[C]) -> None: pass class D: def __new__(cls: D) -> D: # E: The erased type of self "__main__.D" is not a supertype of its class "type[__main__.D]" return cls def __init_subclass__(cls: D) -> None: # E: The erased type of self "__main__.D" is not a supertype of its class "type[__main__.D]" pass class E: def __new__(cls) -> E: reveal_type(cls) # N: Revealed type is "type[__main__.E]" return cls() def __init_subclass__(cls) -> None: reveal_type(cls) # N: Revealed type is "type[__main__.E]" [case testSelfTypeNew_explicit] from typing import TypeVar, Type T = TypeVar('T', bound='A') class A: @staticmethod def __new__(cls: Type[T]) -> T: return cls() @classmethod def __init_subclass__(cls: Type[T]) -> None: pass class B: @staticmethod def __new__(cls: Type[T]) -> T: # E: The erased type of self "type[__main__.A]" is not a supertype of its class "type[__main__.B]" return cls() @classmethod def __init_subclass__(cls: Type[T]) -> None: # E: The erased type of self "type[__main__.A]" is not a supertype of its class "type[__main__.B]" pass class C: @staticmethod def __new__(cls: Type[C]) -> C: return cls() @classmethod def __init_subclass__(cls: Type[C]) -> None: pass class D: @staticmethod def __new__(cls: D) -> D: # E: The erased type of self "__main__.D" is not a supertype of its class "type[__main__.D]" return cls @classmethod def __init_subclass__(cls: D) -> None: # E: The erased type of self "__main__.D" is not a supertype of its class "type[__main__.D]" pass class E: @staticmethod def __new__(cls) -> E: reveal_type(cls) # N: Revealed type is "type[__main__.E]" return cls() @classmethod def __init_subclass__(cls) -> None: reveal_type(cls) # N: Revealed type is "type[__main__.E]" [builtins fixtures/classmethod.pyi] [case testSelfTypePropertyUnion] from typing import Union class A: @property def f(self: A) -> int: pass class B: @property def f(self: B) -> int: pass x: Union[A, B] reveal_type(x.f) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [case testSelfTypeProperSupertypeAttribute] from typing import Callable, TypeVar, ClassVar class K: pass T = TypeVar('T', bound=K) class A(K): @property def g(self: K) -> int: return 0 @property def gt(self: T) -> T: return self f: ClassVar[Callable[[object], int]] ft: ClassVar[Callable[[T], T]] class B(A): pass reveal_type(A().g) # N: Revealed type is "builtins.int" reveal_type(A().gt) # N: Revealed type is "__main__.A" reveal_type(A().f()) # N: Revealed type is "builtins.int" reveal_type(A().ft()) # N: Revealed type is "__main__.A" reveal_type(B().g) # N: Revealed type is "builtins.int" reveal_type(B().gt) # N: Revealed type is "__main__.B" reveal_type(B().f()) # N: Revealed type is "builtins.int" reveal_type(B().ft()) # N: Revealed type is "__main__.B" [builtins fixtures/property.pyi] [case testSelfTypeProperSupertypeAttributeTuple] from typing import Callable, TypeVar, Tuple, ClassVar T = TypeVar('T') class A(Tuple[int, int]): @property def g(self: object) -> int: return 0 @property def gt(self: T) -> T: return self f: ClassVar[Callable[[object], int]] ft: ClassVar[Callable[[T], T]] class B(A): pass reveal_type(A().g) # N: Revealed type is "builtins.int" reveal_type(A().gt) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.A]" reveal_type(A().f()) # N: Revealed type is "builtins.int" reveal_type(A().ft()) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.A]" reveal_type(B().g) # N: Revealed type is "builtins.int" reveal_type(B().gt) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.B]" reveal_type(B().f()) # N: Revealed type is "builtins.int" reveal_type(B().ft()) # N: Revealed type is "tuple[builtins.int, builtins.int, fallback=__main__.B]" [builtins fixtures/property.pyi] [case testSelfTypeProperSupertypeAttributeMeta] from typing import Callable, TypeVar, Type, ClassVar T = TypeVar('T') class A(type): @property def g(cls: object) -> int: return 0 @property def gt(cls: T) -> T: return cls f: ClassVar[Callable[[object], int]] ft: ClassVar[Callable[[T], T]] class B(A): pass class X(metaclass=B): def __init__(self, x: int) -> None: pass class Y(X): pass X1: Type[X] reveal_type(X.g) # N: Revealed type is "builtins.int" reveal_type(X.gt) # N: Revealed type is "def (x: builtins.int) -> __main__.X" reveal_type(X.f()) # N: Revealed type is "builtins.int" reveal_type(X.ft()) # N: Revealed type is "def (x: builtins.int) -> __main__.X" reveal_type(Y.g) # N: Revealed type is "builtins.int" reveal_type(Y.gt) # N: Revealed type is "def (x: builtins.int) -> __main__.Y" reveal_type(Y.f()) # N: Revealed type is "builtins.int" reveal_type(Y.ft()) # N: Revealed type is "def (x: builtins.int) -> __main__.Y" reveal_type(X1.g) # N: Revealed type is "builtins.int" reveal_type(X1.gt) # N: Revealed type is "type[__main__.X]" reveal_type(X1.f()) # N: Revealed type is "builtins.int" reveal_type(X1.ft()) # N: Revealed type is "type[__main__.X]" [builtins fixtures/property.pyi] [case testSelfTypeProperSupertypeAttributeGeneric] from typing import Callable, TypeVar, Generic, ClassVar Q = TypeVar('Q', covariant=True) class K(Generic[Q]): q: Q T = TypeVar('T') class A(K[Q]): @property def g(self: K[object]) -> int: return 0 @property def gt(self: K[T]) -> T: return self.q f: ClassVar[Callable[[object], int]] ft: ClassVar[Callable[[T], T]] class B(A[Q]): pass a: A[int] b: B[str] reveal_type(a.g) # N: Revealed type is "builtins.int" reveal_type(a.gt) # N: Revealed type is "builtins.int" reveal_type(a.f()) # N: Revealed type is "builtins.int" reveal_type(a.ft()) # N: Revealed type is "__main__.A[builtins.int]" reveal_type(b.g) # N: Revealed type is "builtins.int" reveal_type(b.gt) # N: Revealed type is "builtins.str" reveal_type(b.f()) # N: Revealed type is "builtins.int" reveal_type(b.ft()) # N: Revealed type is "__main__.B[builtins.str]" [builtins fixtures/property.pyi] [case testSelfTypeRestrictedMethod] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def from_item(self: C[str]) -> None: ... i: C[int] s: C[str] i.from_item() # E: Invalid self argument "C[int]" to attribute function "from_item" with type "Callable[[C[str]], None]" s.from_item() [case testSelfTypeRestrictedClassMethod] from typing import TypeVar, Generic, Type T = TypeVar('T') class C(Generic[T]): @classmethod def from_item(cls: Type[C[str]]) -> None: ... class DI(C[int]): ... class DS(C[str]): ... DI().from_item() # E: Invalid self argument "type[DI]" to class attribute function "from_item" with type "Callable[[type[C[str]]], None]" DS().from_item() DI.from_item() # E: Invalid self argument "type[DI]" to attribute function "from_item" with type "Callable[[type[C[str]]], None]" DS.from_item() [builtins fixtures/classmethod.pyi] [case testSelfTypeRestrictedMethodOverload] from typing import TypeVar, Generic, overload, Tuple T = TypeVar('T') class C(Generic[T]): @overload def from_item(self: C[str], item: str) -> None: ... @overload def from_item(self: C[int], item: Tuple[int]) -> None: ... def from_item(self, item): ... ci: C[int] cs: C[str] reveal_type(ci.from_item) # N: Revealed type is "def (item: tuple[builtins.int])" reveal_type(cs.from_item) # N: Revealed type is "def (item: builtins.str)" [builtins fixtures/tuple.pyi] [case testSelfTypeRestrictedMethodOverloadFallback] from typing import TypeVar, Generic, overload, Callable T = TypeVar('T') class C(Generic[T]): @overload def from_item(self: C[str]) -> str: ... @overload def from_item(self, converter: Callable[[T], str]) -> str: ... def from_item(self, converter): ... ci: C[int] cs: C[str] reveal_type(cs.from_item()) # N: Revealed type is "builtins.str" ci.from_item() # E: Missing positional argument "converter" in call to "from_item" of "C" def conv(x: int) -> str: ... def bad(x: str) -> str: ... reveal_type(ci.from_item(conv)) # N: Revealed type is "builtins.str" ci.from_item(bad) # E: Argument 1 to "from_item" of "C" has incompatible type "Callable[[str], str]"; expected "Callable[[int], str]" [case testSelfTypeRestrictedMethodOverloadInit] from typing import TypeVar from lib import P, C reveal_type(P) # N: Revealed type is "Overload(def [T] (use_str: Literal[True]) -> lib.P[builtins.str], def [T] (use_str: Literal[False]) -> lib.P[builtins.int])" reveal_type(P(use_str=True)) # N: Revealed type is "lib.P[builtins.str]" reveal_type(P(use_str=False)) # N: Revealed type is "lib.P[builtins.int]" reveal_type(C) # N: Revealed type is "Overload(def [T] (item: T`1, use_tuple: Literal[False]) -> lib.C[T`1], def [T] (item: T`1, use_tuple: Literal[True]) -> lib.C[builtins.tuple[T`1, ...]])" reveal_type(C(0, use_tuple=False)) # N: Revealed type is "lib.C[builtins.int]" reveal_type(C(0, use_tuple=True)) # N: Revealed type is "lib.C[builtins.tuple[builtins.int, ...]]" T = TypeVar('T') class SubP(P[T]): pass SubP('no') # E: No overload variant of "SubP" matches argument type "str" \ # N: Possible overload variants: \ # N: def [T] __init__(self, use_str: Literal[True]) -> SubP[T] \ # N: def [T] __init__(self, use_str: Literal[False]) -> SubP[T] # This is a bit unfortunate: we don't have a way to map the overloaded __init__ to subtype. x = SubP(use_str=True) # E: Need type annotation for "x" reveal_type(x) # N: Revealed type is "__main__.SubP[Any]" y: SubP[str] = SubP(use_str=True) [file lib.pyi] from typing import Literal, TypeVar, Generic, overload, Tuple T = TypeVar('T') class P(Generic[T]): @overload def __init__(self: P[str], use_str: Literal[True]) -> None: ... @overload def __init__(self: P[int], use_str: Literal[False]) -> None: ... class C(Generic[T]): @overload def __init__(self: C[T], item: T, use_tuple: Literal[False]) -> None: ... @overload def __init__(self: C[Tuple[T, ...]], item: T, use_tuple: Literal[True]) -> None: ... [builtins fixtures/bool.pyi] [case testSelfTypeRestrictedMethodOverloadInitFallBacks] from lib import PFallBack, PFallBackAny t: bool xx = PFallBack(t) # E: Need type annotation for "xx" yy = PFallBackAny(t) # OK [file lib.pyi] from typing import Literal, TypeVar, Generic, overload, Tuple, Any class PFallBack(Generic[T]): @overload def __init__(self: PFallBack[str], use_str: Literal[True]) -> None: ... @overload def __init__(self: PFallBack[int], use_str: Literal[False]) -> None: ... @overload def __init__(self, use_str: bool) -> None: ... class PFallBackAny(Generic[T]): @overload def __init__(self: PFallBackAny[str], use_str: Literal[True]) -> None: ... @overload def __init__(self: PFallBackAny[int], use_str: Literal[False]) -> None: ... @overload def __init__(self: PFallBackAny[Any], use_str: bool) -> None: ... [builtins fixtures/bool.pyi] [case testSelfTypeRestrictedMethodOverloadInitBadTypeNoCrash] from lib import P P(0) [file lib.pyi] from typing import overload class P: @overload def __init__(self: Bad, x: int) -> None: ... # E: Name "Bad" is not defined @overload def __init__(self) -> None: ... [case testSelfTypeNarrowBinding] from typing import TypeVar, List, Generic T = TypeVar('T') S = TypeVar('S') class Base(Generic[T]): def get_item(self: Base[List[S]]) -> S: ... class Sub(Base[List[int]]): ... class BadSub(Base[int]): ... reveal_type(Sub().get_item()) # N: Revealed type is "builtins.int" BadSub().get_item() # E: Invalid self argument "BadSub" to attribute function "get_item" with type "Callable[[Base[list[S]]], S]" [builtins fixtures/list.pyi] [case testMixinAllowedWithProtocol] from typing import Protocol, TypeVar class Resource(Protocol): def close(self) -> int: ... class AtomicClose: def atomic_close(self: Resource) -> int: return self.close() T = TypeVar('T', bound=Resource) class Copyable: def copy(self: T) -> T: ... class File(AtomicClose, Copyable): def close(self) -> int: ... class Bad(AtomicClose, Copyable): ... f: File b: Bad f.atomic_close() # OK b.atomic_close() # E: Invalid self argument "Bad" to attribute function "atomic_close" with type "Callable[[Resource], int]" reveal_type(f.copy()) # N: Revealed type is "__main__.File" b.copy() # E: Invalid self argument "Bad" to attribute function "copy" with type "Callable[[T], T]" [builtins fixtures/tuple.pyi] [case testMixinProtocolSuper] from typing import Protocol class Base(Protocol): def func(self) -> int: ... class TweakFunc: def func(self: Base) -> int: return reveal_type(super().func()) # E: Call to abstract method "func" of "Base" with trivial body via super() is unsafe \ # N: Revealed type is "builtins.int" class Good: def func(self) -> int: ... class C(TweakFunc, Good): pass C().func() # OK class Bad: def func(self) -> str: ... class CC(TweakFunc, Bad): pass # E: Definition of "func" in base class "TweakFunc" is incompatible with definition in base class "Bad" [case testBadClassLevelDecoratorHack] from typing import Protocol, TypeVar, Any class FuncLike(Protocol): __call__: Any F = TypeVar('F', bound=FuncLike) class Test: def _deco(func: F) -> F: ... @_deco def meth(self, x: str) -> int: ... reveal_type(Test().meth) # N: Revealed type is "def (x: builtins.str) -> builtins.int" Test()._deco # E: Invalid self argument "Test" to attribute function "_deco" with type "Callable[[F], F]" [builtins fixtures/tuple.pyi] [case testSelfTypeTrickyExample] from typing import * In = TypeVar('In') Out = TypeVar('Out') Mid = TypeVar('Mid') NewOut = TypeVar('NewOut') class Lnk(Generic[In, Out]): def test(self: Lnk[In, Mid], other: Lnk[Mid, NewOut]) -> Lnk[In, NewOut]: ... class X: pass class Y: pass class Z: pass a: Lnk[X, Y] = Lnk() b: Lnk[Y, Z] = Lnk() a.test(b) b.test(a) # E: Argument 1 to "test" of "Lnk" has incompatible type "Lnk[X, Y]"; expected "Lnk[Z, Y]" [case testSelfTypeReallyTrickyExample] from typing import * In = TypeVar('In') Out = TypeVar('Out') Other = TypeVar('Other') _1 = TypeVar('_1') _2 = TypeVar('_2') __1 = TypeVar('__1') __2 = TypeVar('__2') class Lnk(Generic[In, Out]): @overload def __rshift__(self, other: Lnk[Out, Other]) -> Lnk[In,Other]: ... @overload def __rshift__(self: Lnk[In, Tuple[_1, _2]], other: Tuple[Lnk[_1, __1], Lnk[_2, __2]]) -> Lnk[In, Tuple[__1, __2]]: ... def __rshift__(self: Any, other: Any) -> Any: ... a: Lnk[str, Tuple[str, int]] = Lnk() b: Lnk[str, int] = Lnk() c: Lnk[int, float] = Lnk() d: Lnk[str, float] = b >> c # OK e: Lnk[str, Tuple[int, float]] = a >> (b, c) # OK f: Lnk[str, Tuple[float, int]] = a >> (c, b) # E: Unsupported operand types for >> ("Lnk[str, tuple[str, int]]" and "tuple[Lnk[int, float], Lnk[str, int]]") [builtins fixtures/tuple.pyi] [case testSelfTypeMutuallyExclusiveRestrictions] from typing import Generic, TypeVar T = TypeVar('T') class Foo(Generic[T]): def f1(self: Foo[str]) -> None: self.f2() # E: Invalid self argument "Foo[str]" to attribute function "f2" with type "Callable[[Foo[int]], None]" def f2(self: Foo[int]) -> None: self.f1() # E: Invalid self argument "Foo[int]" to attribute function "f1" with type "Callable[[Foo[str]], None]" [case testSelfTypeStructureMetaclassMatch] from typing import TypeVar, Type, Generic, cast Cls = TypeVar('Cls') T = TypeVar('T') class Manager(Generic[Cls]): def create(self: Manager[Type[T]]) -> T: ... class ModelMeta(type): @property def objects(cls: T) -> Manager[T]: ... class Model(metaclass=ModelMeta): pass class Dog(Model): ... class Cat(Model): ... c: Cat = Dog.objects.create() # E: Incompatible types in assignment (expression has type "Dog", variable has type "Cat") d: Dog = Dog.objects.create() [builtins fixtures/property.pyi] [case testSelfTypeProtocolMetaclassMatch] from typing import Type, TypeVar, Protocol class HasX(Protocol): x: int T = TypeVar('T', bound=HasX) class Meta(type): def do_x(cls: Type[T]) -> T: cls.x return cls() class Good(metaclass=Meta): x: int class Bad(metaclass=Meta): pass Good.do_x() Bad.do_x() # E: Invalid self argument "type[Bad]" to attribute function "do_x" with type "Callable[[type[T]], T]" [case testSelfTypeProtocolClassmethodMatch] from typing import Type, TypeVar, Protocol T = TypeVar('T') class HasDoX(Protocol): @classmethod def do_x(cls: Type[T]) -> T: ... class Good: @classmethod def do_x(cls) -> 'Good': ... class Bad: @classmethod def do_x(cls) -> Good: ... good: HasDoX = Good() bad: HasDoX = Bad() [builtins fixtures/classmethod.pyi] [out] main:21: error: Incompatible types in assignment (expression has type "Bad", variable has type "HasDoX") main:21: note: Following member(s) of "Bad" have conflicts: main:21: note: Expected: main:21: note: def do_x(cls) -> Bad main:21: note: Got: main:21: note: def do_x(cls) -> Good [case testSelfTypeNotSelfType] # Friendlier error messages for common mistakes. See #2950 class A: def f(x: int) -> None: ... def g(self: None) -> None: ... [out] main:3: error: Self argument missing for a non-static method (or an invalid type for self) main:4: error: The erased type of self "None" is not a supertype of its class "__main__.A" [case testUnionPropertyField] from typing import Union class A: x: int class B: @property def x(self) -> int: return 1 class C: @property def x(self) -> int: return 1 ab: Union[A, B, C] reveal_type(ab.x) # N: Revealed type is "builtins.int" [builtins fixtures/property.pyi] [case testSelfTypeNoTypeVars] from typing import Generic, List, Optional, TypeVar, Any Q = TypeVar("Q") T = TypeVar("T", bound='Super[Any]') class Super(Generic[Q]): @classmethod def meth(cls, arg: List[T]) -> List[T]: pass class Sub(Super[int]): ... def test(x: List[Sub]) -> None: reveal_type(Sub.meth(x)) # N: Revealed type is "builtins.list[__main__.Sub]" [builtins fixtures/isinstancelist.pyi] [case testSelfTypeNoTypeVarsRestrict] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class C(Generic[T]): def limited(self: C[str], arg: S) -> S: ... reveal_type(C[str]().limited(0)) # N: Revealed type is "builtins.int" [case testSelfTypeMultipleTypeVars] from typing import Generic, TypeVar, Tuple T = TypeVar('T') S = TypeVar('S') U = TypeVar('U') V = TypeVar('V') class C(Generic[T]): def magic(self: C[Tuple[S, U]]) -> Tuple[T, S, U]: ... class D(Generic[V]): def f(self) -> None: reveal_type(C[Tuple[V, str]]().magic()) # N: Revealed type is "tuple[tuple[V`1, builtins.str], V`1, builtins.str]" [builtins fixtures/tuple.pyi] [case testSelfTypeOnUnion] from typing import TypeVar, Union T = TypeVar('T') class A: same: int class C: def same(self: T) -> T: ... x: Union[A, C] reveal_type(x.same) # N: Revealed type is "Union[builtins.int, def () -> __main__.C]" [case testSelfTypeOnUnionClassMethod] from typing import TypeVar, Union, Type T = TypeVar('T') class A: same: int class C: @classmethod def same(cls: Type[T]) -> T: ... x: Union[A, C] reveal_type(x.same) # N: Revealed type is "Union[builtins.int, def () -> __main__.C]" [builtins fixtures/classmethod.pyi] [case SelfTypeOverloadedClassMethod] from lib import Base from typing import overload, Tuple class Sub(Base): @overload @classmethod def make(cls) -> Sub: ... @overload @classmethod def make(cls, num: int) -> Tuple[Sub, ...]: ... @classmethod def make(cls, num=1): ... class Other(Base): ... class Double(Sub): ... reveal_type(Other.make()) # N: Revealed type is "__main__.Other" reveal_type(Other.make(3)) # N: Revealed type is "builtins.tuple[__main__.Other, ...]" reveal_type(Double.make()) # N: Revealed type is "__main__.Sub" reveal_type(Double.make(3)) # N: Revealed type is "builtins.tuple[__main__.Sub, ...]" [file lib.pyi] from typing import overload, TypeVar, Type, Tuple T = TypeVar('T', bound=Base) class Base: @overload @classmethod def make(cls: Type[T]) -> T: ... @overload @classmethod def make(cls: Type[T], num: int) -> Tuple[T, ...]: ... [builtins fixtures/classmethod.pyi] [case testSelfTypeClassMethodOnUnion] from typing import Type, Union, TypeVar T = TypeVar('T') class A: @classmethod def meth(cls: Type[T]) -> T: ... class B(A): ... class C(A): ... t: Type[Union[B, C]] reveal_type(t.meth) # N: Revealed type is "Union[def () -> __main__.B, def () -> __main__.C]" x = t.meth() reveal_type(x) # N: Revealed type is "Union[__main__.B, __main__.C]" [builtins fixtures/classmethod.pyi] [case testSelfTypeClassMethodOnUnionGeneric] from typing import Type, Union, TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class A(Generic[T]): @classmethod def meth(cls: Type[S]) -> S: ... t: Type[Union[A[int], A[str]]] x = t.meth() reveal_type(x) # N: Revealed type is "Union[__main__.A[builtins.int], __main__.A[builtins.str]]" [builtins fixtures/classmethod.pyi] [case testSelfTypeClassMethodOnUnionList] from typing import Type, Union, TypeVar, List T = TypeVar('T') class A: @classmethod def meth(cls: Type[T]) -> List[T]: ... class B(A): ... class C(A): ... t: Type[Union[B, C]] x = t.meth()[0] reveal_type(x) # N: Revealed type is "Union[__main__.B, __main__.C]" [builtins fixtures/isinstancelist.pyi] [case testSelfTypeClassMethodOverloadedOnInstance] from typing import Optional, Type, TypeVar, overload, Union Id = int A = TypeVar("A", bound='AClass') class AClass: @overload @classmethod def delete(cls: Type[A], id: Id, id2: Id) -> Optional[int]: ... @overload @classmethod def delete(cls: Type[A], id: A, id2: None = None) -> Optional[int]: ... @classmethod def delete(cls: Type[A], id: Union[A, Id], id2: Optional[Id] = None) -> Optional[int]: ... def foo(x: Type[AClass]) -> None: reveal_type(x.delete) # N: Revealed type is "Overload(def (id: builtins.int, id2: builtins.int) -> Union[builtins.int, None], def (id: __main__.AClass, id2: None =) -> Union[builtins.int, None])" y = x() reveal_type(y.delete) # N: Revealed type is "Overload(def (id: builtins.int, id2: builtins.int) -> Union[builtins.int, None], def (id: __main__.AClass, id2: None =) -> Union[builtins.int, None])" y.delete(10, 20) y.delete(y) def bar(x: AClass) -> None: reveal_type(x.delete) # N: Revealed type is "Overload(def (id: builtins.int, id2: builtins.int) -> Union[builtins.int, None], def (id: __main__.AClass, id2: None =) -> Union[builtins.int, None])" x.delete(10, 20) [builtins fixtures/classmethod.pyi] [case testSelfTypeBadTypeIgnoredInConstructor] class Base: ... class Sub(Base): def __init__(self: Base) -> None: ... reveal_type(Sub()) # N: Revealed type is "__main__.Sub" [case testSelfTypeBadTypeIgnoredInConstructorGeneric] from typing import Generic, TypeVar T = TypeVar('T') class Base(Generic[T]): ... class Sub(Base[T]): def __init__(self: Base[T], item: T) -> None: ... reveal_type(Sub(42)) # N: Revealed type is "__main__.Sub[builtins.int]" [case testSelfTypeBadTypeIgnoredInConstructorOverload] from typing import overload class Base: ... class Sub(Base): @overload def __init__(self: Sub, item: int) -> None: ... @overload def __init__(self: Base) -> None: ... def __init__(self, item=None): ... reveal_type(Sub) # N: Revealed type is "Overload(def (item: builtins.int) -> __main__.Sub, def () -> __main__.Sub)" [case testSelfTypeBadTypeIgnoredInConstructorAbstract] from abc import abstractmethod from typing import Protocol class Blah(Protocol): @abstractmethod def something(self) -> None: ... class Concrete(Blah): def __init__(self: Blah) -> None: ... def something(self) -> None: ... Concrete() # OK [case testSelfTypeGenericClassNoClashInstanceMethod] from typing import TypeVar, Generic M = TypeVar("M") T = TypeVar("T") S = TypeVar("S") class Descriptor(Generic[M]): ... class BaseWrapper(Generic[M]): def create_wrapper(self: T, metric_descriptor: Descriptor[M]) -> T: ... class SubWrapper(BaseWrapper[M]): ... def build_wrapper(descriptor: Descriptor[M]) -> BaseWrapper[M]: wrapper: BaseWrapper[M] return wrapper.create_wrapper(descriptor) def build_sub_wrapper(descriptor: Descriptor[S]) -> SubWrapper[S]: wrapper: SubWrapper[S] x = wrapper.create_wrapper(descriptor) reveal_type(x) # N: Revealed type is "__main__.SubWrapper[S`-1]" return x [case testSelfTypeGenericClassNoClashClassMethod] from typing import TypeVar, Generic, Type M = TypeVar("M") T = TypeVar("T") S = TypeVar("S") class Descriptor(Generic[M]): ... class BaseWrapper(Generic[M]): @classmethod def create_wrapper(cls: Type[T], metric_descriptor: Descriptor[M]) -> T: ... class SubWrapper(BaseWrapper[M]): ... def build_wrapper(descriptor: Descriptor[M]) -> BaseWrapper[M]: wrapper_cls: Type[BaseWrapper[M]] return wrapper_cls.create_wrapper(descriptor) def build_sub_wrapper(descriptor: Descriptor[S]) -> SubWrapper[S]: wrapper_cls: Type[SubWrapper[S]] x = wrapper_cls.create_wrapper(descriptor) reveal_type(x) # N: Revealed type is "__main__.SubWrapper[S`-1]" return x [builtins fixtures/classmethod.pyi] [case testSelfTypeGenericClassNoClashClassMethodClassObject] from typing import TypeVar, Generic, Type M = TypeVar("M") T = TypeVar("T") class Descriptor(Generic[M]): ... class BaseWrapper(Generic[M]): @classmethod def create_wrapper(cls: Type[T], metric_descriptor: Descriptor[M]) -> T: ... class SubWrapper(BaseWrapper[M]): ... def build_wrapper(descriptor: Descriptor[M]) -> BaseWrapper[M]: return BaseWrapper.create_wrapper(descriptor) def build_sub_wrapper(descriptor: Descriptor[M]) -> SubWrapper[M]: x = SubWrapper.create_wrapper(descriptor) reveal_type(x) # N: Revealed type is "__main__.SubWrapper[M`-1]" return x def build_wrapper_non_gen(descriptor: Descriptor[int]) -> BaseWrapper[str]: return BaseWrapper.create_wrapper(descriptor) # E: Argument 1 to "create_wrapper" of "BaseWrapper" has incompatible type "Descriptor[int]"; expected "Descriptor[str]" def build_sub_wrapper_non_gen(descriptor: Descriptor[int]) -> SubWrapper[str]: return SubWrapper.create_wrapper(descriptor) # E: Argument 1 to "create_wrapper" of "BaseWrapper" has incompatible type "Descriptor[int]"; expected "Descriptor[str]" [builtins fixtures/classmethod.pyi] [case testSelfTypeInGenericClassUsedFromAnotherGenericClass1] from typing import TypeVar, Generic, Iterator, List, Tuple _T_co = TypeVar("_T_co", covariant=True) _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") S = TypeVar("S") class Z(Iterator[_T_co]): def __new__(cls, __iter1: List[_T1], __iter2: List[_T2]) -> Z[Tuple[_T1, _T2]]: ... def __iter__(self: S) -> S: ... def __next__(self) -> _T_co: ... T = TypeVar('T') class C(Generic[T]): a: List[T] b: List[str] def f(self) -> None: for x, y in Z(self.a, self.b): reveal_type((x, y)) # N: Revealed type is "tuple[T`1, builtins.str]" [builtins fixtures/tuple.pyi] [case testEnumerateReturningSelfFromIter] from typing import Generic, Iterable, Iterator, TypeVar, Tuple T = TypeVar("T") KT = TypeVar("KT") VT = TypeVar("VT") Self = TypeVar("Self") class enumerate(Iterator[Tuple[int, T]], Generic[T]): def __init__(self, iterable: Iterable[T]) -> None: ... def __iter__(self: Self) -> Self: ... def __next__(self) -> Tuple[int, T]: ... class Dict(Generic[KT, VT]): def update(self, __m: Iterable[Tuple[KT, VT]]) -> None: ... class ThingCollection(Generic[T]): collection: Iterable[Tuple[float, T]] index: Dict[int, T] def do_thing(self) -> None: self.index.update((idx, c) for idx, (k, c) in enumerate(self.collection)) [builtins fixtures/tuple.pyi] [case testDequeReturningSelfFromCopy] # Tests a bug with generic self types identified in issue #12641 from typing import Generic, Sequence, TypeVar T = TypeVar("T") Self = TypeVar("Self") class deque(Sequence[T]): def copy(self: Self) -> Self: ... class List(Sequence[T]): ... class Test(Generic[T]): def test(self) -> None: a: deque[List[T]] # previously this failed with 'Incompatible types in assignment (expression has type "deque[List[List[T]]]", variable has type "deque[List[T]]")' b: deque[List[T]] = a.copy() [case testTypingSelfBasic] from typing import Self, List class C: attr: List[Self] def meth(self) -> List[Self]: ... def test(self) -> Self: if bool(): return C() # E: Incompatible return value type (got "C", expected "Self") else: return self class D(C): ... reveal_type(C.meth) # N: Revealed type is "def [Self <: __main__.C] (self: Self`1) -> builtins.list[Self`1]" C.attr # E: Access to generic instance variables via class is ambiguous reveal_type(D().meth()) # N: Revealed type is "builtins.list[__main__.D]" reveal_type(D().attr) # N: Revealed type is "builtins.list[__main__.D]" [case testTypingSelfInvalidLocations] from typing import Self, Callable var: Self # E: Self type is only allowed in annotations within class definition reveal_type(var) # N: Revealed type is "Any" def foo() -> Self: ... # E: Self type is only allowed in annotations within class definition reveal_type(foo) # N: Revealed type is "def () -> Any" bad: Callable[[Self], Self] # E: Self type is only allowed in annotations within class definition reveal_type(bad) # N: Revealed type is "def (Any) -> Any" def func() -> None: var: Self # E: Self type is only allowed in annotations within class definition class C(Self): ... # E: Self type is only allowed in annotations within class definition [case testTypingSelfInvalidArgs] from typing import Self, List class C: x: Self[int] # E: Self type cannot have type arguments def meth(self) -> List[Self[int]]: # E: Self type cannot have type arguments ... [case testTypingSelfConflict] from typing import Self, TypeVar, Tuple T = TypeVar("T") class C: def meth(self: T) -> Tuple[Self, T]: ... # E: Method cannot have explicit self annotation and Self type reveal_type(C().meth()) # N: Revealed type is "tuple[Never, __main__.C]" [builtins fixtures/property.pyi] [case testTypingSelfProperty] from typing import Self, Tuple class C: @property def attr(self) -> Tuple[Self, ...]: ... class D(C): ... reveal_type(D().attr) # N: Revealed type is "builtins.tuple[__main__.D, ...]" [builtins fixtures/property.pyi] [case testTypingSelfCallableVar] from typing import Self, Callable class C: x: Callable[[Self], Self] def meth(self) -> Callable[[Self], Self]: ... class D(C): ... reveal_type(C().x) # N: Revealed type is "def (__main__.C) -> __main__.C" reveal_type(D().x) # N: Revealed type is "def (__main__.D) -> __main__.D" reveal_type(D().meth()) # N: Revealed type is "def (__main__.D) -> __main__.D" [case testTypingSelfClassMethod] from typing import Self class C: @classmethod def meth(cls) -> Self: ... @staticmethod def bad() -> Self: ... # E: Static methods cannot use Self type \ # E: A function returning TypeVar should receive at least one argument containing the same TypeVar \ # N: Consider using the upper bound "C" instead class D(C): ... reveal_type(D.meth()) # N: Revealed type is "__main__.D" reveal_type(D.bad()) # N: Revealed type is "Never" [builtins fixtures/classmethod.pyi] [case testTypingSelfOverload] from typing import Self, overload, Union class C: @overload def foo(self, other: Self) -> Self: ... @overload def foo(self, other: int) -> int: ... def foo(self, other: Union[Self, int]) -> Union[Self, int]: return other class D(C): ... reveal_type(D().foo) # N: Revealed type is "Overload(def (other: __main__.D) -> __main__.D, def (other: builtins.int) -> builtins.int)" [case testTypingSelfNestedInAlias] from typing import Generic, Self, TypeVar, List, Tuple T = TypeVar("T") Pairs = List[Tuple[T, T]] class C(Generic[T]): def pairs(self) -> Pairs[Self]: ... class D(C[T]): ... reveal_type(D[int]().pairs()) # N: Revealed type is "builtins.list[tuple[__main__.D[builtins.int], __main__.D[builtins.int]]]" [builtins fixtures/tuple.pyi] [case testTypingSelfOverrideVar] from typing import Self, TypeVar, Generic T = TypeVar("T") class C(Generic[T]): x: Self class D(C[int]): x: D class Bad(C[int]): x: C[int] # E: Incompatible types in assignment (expression has type "C[int]", base class "C" defined the type as "Bad") [case testTypingSelfOverrideVarMulti] from typing import Self class C: x: Self class D: x: C class E: x: Good class Bad(D, C): # E: Definition of "x" in base class "D" is incompatible with definition in base class "C" ... class Good(E, C): ... [case testTypingSelfAlternativeGenericConstructor] from typing import Self, Generic, TypeVar, Tuple T = TypeVar("T") class C(Generic[T]): def __init__(self, val: T) -> None: ... @classmethod def pair(cls, val: T) -> Tuple[Self, Self]: return (cls(val), C(val)) # E: Incompatible return value type (got "tuple[Self, C[T]]", expected "tuple[Self, Self]") class D(C[int]): pass reveal_type(C.pair(42)) # N: Revealed type is "tuple[__main__.C[builtins.int], __main__.C[builtins.int]]" reveal_type(D.pair("no")) # N: Revealed type is "tuple[__main__.D, __main__.D]" \ # E: Argument 1 to "pair" of "C" has incompatible type "str"; expected "int" [builtins fixtures/classmethod.pyi] [case testTypingSelfMixedTypeVars] from typing import Self, TypeVar, Generic, Tuple T = TypeVar("T") S = TypeVar("S") class C(Generic[T]): def meth(self, arg: S) -> Tuple[Self, S, T]: ... class D(C[int]): ... c: C[int] d: D reveal_type(c.meth("test")) # N: Revealed type is "tuple[__main__.C[builtins.int], builtins.str, builtins.int]" reveal_type(d.meth("test")) # N: Revealed type is "tuple[__main__.D, builtins.str, builtins.int]" [builtins fixtures/tuple.pyi] [case testTypingSelfRecursiveInit] from typing import Self class C: def __init__(self, other: Self) -> None: ... class D(C): ... reveal_type(C) # N: Revealed type is "def (other: __main__.C) -> __main__.C" reveal_type(D) # N: Revealed type is "def (other: __main__.D) -> __main__.D" [case testTypingSelfCorrectName] from typing import Self, List class C: Self = List[C] def meth(self) -> Self: ... reveal_type(C.meth) # N: Revealed type is "def (self: __main__.C) -> builtins.list[__main__.C]" [case testTypingSelfClassVar] from typing import Self, ClassVar, Generic, TypeVar class C: DEFAULT: ClassVar[Self] reveal_type(C.DEFAULT) # N: Revealed type is "__main__.C" T = TypeVar("T") class G(Generic[T]): BAD: ClassVar[Self] # E: ClassVar cannot contain Self type in generic classes reveal_type(G.BAD) # N: Revealed type is "__main__.G[Any]" [case testTypingSelfMetaClassDisabled] from typing import Self class Meta(type): def meth(cls) -> Self: ... # E: Self type cannot be used in a metaclass [case testTypingSelfNonAnnotationUses] from typing import Self, List, cast class C: A = List[Self] # E: Self type cannot be used in type alias target B = cast(Self, ...) def meth(self) -> A: ... class D(C): ... reveal_type(D().meth()) # N: Revealed type is "builtins.list[Any]" reveal_type(D().B) # N: Revealed type is "__main__.D" [case testTypingSelfInternalSafe] from typing import Self class C: x: Self def __init__(self, x: C) -> None: self.x = x # E: Incompatible types in assignment (expression has type "C", variable has type "Self") [case testTypingSelfRedundantAllowed] from typing import Self, Type class C: def f(self: Self) -> Self: d: Defer class Defer: ... return self @classmethod def g(cls: Type[Self]) -> Self: d: DeferAgain class DeferAgain: ... return cls() [builtins fixtures/classmethod.pyi] [case testTypingSelfRedundantAllowed_pep585] from typing import Self class C: def f(self: Self) -> Self: d: Defer class Defer: ... return self @classmethod def g(cls: type[Self]) -> Self: d: DeferAgain class DeferAgain: ... return cls() [builtins fixtures/classmethod.pyi] [case testTypingSelfRedundantWarning] # mypy: enable-error-code="redundant-self" from typing import Self, Type class C: def copy(self: Self) -> Self: # E: Redundant "Self" annotation for the first method argument d: Defer class Defer: ... return self @classmethod def g(cls: Type[Self]) -> Self: # E: Redundant "Self" annotation for the first method argument d: DeferAgain class DeferAgain: ... return cls() [builtins fixtures/classmethod.pyi] [case testTypingSelfRedundantWarning_pep585] # mypy: enable-error-code="redundant-self" from typing import Self class C: def copy(self: Self) -> Self: # E: Redundant "Self" annotation for the first method argument d: Defer class Defer: ... return self @classmethod def g(cls: type[Self]) -> Self: # E: Redundant "Self" annotation for the first method argument d: DeferAgain class DeferAgain: ... return cls() [builtins fixtures/classmethod.pyi] [case testTypingSelfAssertType] from typing import Self, assert_type class C: def foo(self) -> None: assert_type(self, Self) # E: Expression is of type "C", not "Self" assert_type(C(), Self) # E: Expression is of type "C", not "Self" def bar(self) -> Self: assert_type(self, Self) # OK assert_type(C(), Self) # E: Expression is of type "C", not "Self" return self [case testTypingSelfTypeVarClash] from typing import Self, TypeVar, Tuple S = TypeVar("S") class C: def bar(self) -> Self: ... def foo(self, x: S) -> Tuple[Self, S]: ... reveal_type(C.foo) # N: Revealed type is "def [Self <: __main__.C, S] (self: Self`1, x: S`2) -> tuple[Self`1, S`2]" reveal_type(C().foo(42)) # N: Revealed type is "tuple[__main__.C, builtins.int]" [builtins fixtures/tuple.pyi] [case testTypingSelfTypeVarClashAttr] from typing import Self, TypeVar, Tuple, Callable class Defer(This): ... S = TypeVar("S") class C: def bar(self) -> Self: ... foo: Callable[[S, Self], Tuple[Self, S]] reveal_type(C().foo) # N: Revealed type is "def [S] (S`2, __main__.C) -> tuple[__main__.C, S`2]" reveal_type(C().foo(42, C())) # N: Revealed type is "tuple[__main__.C, builtins.int]" class This: ... [builtins fixtures/tuple.pyi] [case testTypingSelfAttrOldVsNewStyle] from typing import Self, TypeVar T = TypeVar("T", bound='C') class C: x: Self def foo(self: T) -> T: return self.x def bar(self: T) -> T: self.x = self return self def baz(self: Self) -> None: self.x = self def bad(self) -> None: # This is unfortunate, but required by PEP 484 self.x = self # E: Incompatible types in assignment (expression has type "C", variable has type "Self") [case testTypingSelfClashInBodies] from typing import Self, TypeVar T = TypeVar("T") class C: def very_bad(self, x: T) -> None: self.x = x # E: Incompatible types in assignment (expression has type "T", variable has type "Self") x: Self def baz(self: Self, x: T) -> None: y: T = x [case testTypingSelfClashUnrelated] from typing import Self, Generic, TypeVar class B: ... T = TypeVar("T", bound=B) class C(Generic[T]): def __init__(self, val: T) -> None: self.val = val def foo(self) -> Self: ... def test(x: C[T]) -> T: reveal_type(x.val) # N: Revealed type is "T`-1" return x.val [case testTypingSelfGenericBound] from typing import Self, Generic, TypeVar T = TypeVar("T") class C(Generic[T]): val: T def foo(self) -> Self: reveal_type(self.val) # N: Revealed type is "T`1" return self [case testTypingSelfDifferentImport] import typing as t class Foo: def foo(self) -> t.Self: return self @classmethod def bar(cls) -> t.Self: return cls() [builtins fixtures/classmethod.pyi] [case testTypingSelfAllowAliasUseInFinalClasses] from typing import Self, final @final class C: def meth(self) -> Self: return C() # OK for final classes [case testTypingSelfCallableClassVar] from typing import Self, ClassVar, Callable, TypeVar class C: f: ClassVar[Callable[[Self], Self]] class D(C): ... reveal_type(D.f) # N: Revealed type is "def (__main__.D) -> __main__.D" reveal_type(D().f) # N: Revealed type is "def () -> __main__.D" [case testSelfTypeCallableClassVarOldStyle] from typing import ClassVar, Callable, TypeVar T = TypeVar("T") class C: f: ClassVar[Callable[[T], T]] class D(C): ... reveal_type(D.f) # N: Revealed type is "def [T] (T`3) -> T`3" reveal_type(D().f) # N: Revealed type is "def () -> __main__.D" [case testTypingSelfOnSuperTypeVarValues] from typing import Self, Generic, TypeVar T = TypeVar("T", int, str) class B: def copy(self) -> Self: ... class C(B, Generic[T]): def copy(self) -> Self: inst = super().copy() reveal_type(inst) # N: Revealed type is "Self`0" return inst [case testTypingSelfWithValuesExpansion] from typing import Self, Generic, TypeVar class A: pass class B: pass T = TypeVar("T", A, B) class C(Generic[T]): val: T def foo(self, x: T) -> None: ... def bar(self, x: T) -> Self: reveal_type(self.foo) # N: Revealed type is "def (x: __main__.A)" \ # N: Revealed type is "def (x: __main__.B)" self.foo(x) return self def baz(self: Self, x: T) -> None: reveal_type(self.val) # N: Revealed type is "__main__.A" \ # N: Revealed type is "__main__.B" self.val = x [case testNarrowSelfType] from typing import Self, Union class A: ... class B: def f1(self, v: Union[Self, A]) -> A: if isinstance(v, B): return A() else: return v def f2(self, v: Union[Self, A]) -> A: if isinstance(v, B): return A() else: return B() # E: Incompatible return value type (got "B", expected "A") [builtins fixtures/isinstancelist.pyi] [case testAttributeOnSelfAttributeInSubclass] from typing import List, Self class A: x: Self xs: List[Self] class B(A): extra: int def meth(self) -> None: reveal_type(self.x) # N: Revealed type is "Self`0" reveal_type(self.xs[0]) # N: Revealed type is "Self`0" reveal_type(self.x.extra) # N: Revealed type is "builtins.int" reveal_type(self.xs[0].extra) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testSelfTypesWithParamSpecExtract] from typing import Any, Callable, Generic, TypeVar from typing_extensions import ParamSpec P = ParamSpec("P") F = TypeVar("F", bound=Callable[..., Any]) class Example(Generic[F]): def __init__(self, fn: F) -> None: ... def __call__(self: Example[Callable[P, Any]], *args: P.args, **kwargs: P.kwargs) -> None: ... def test_fn(a: int, b: str) -> None: ... example = Example(test_fn) example() # E: Missing positional arguments "a", "b" in call to "__call__" of "Example" example(1, "b") # OK [builtins fixtures/list.pyi] [case testSelfTypesWithParamSpecInfer] from typing import TypeVar, Protocol, Type, Callable from typing_extensions import ParamSpec R = TypeVar("R", covariant=True) P = ParamSpec("P") class AsyncP(Protocol[P]): def meth(self, *args: P.args, **kwargs: P.kwargs) -> None: ... class Async: @classmethod def async_func(cls: Type[AsyncP[P]]) -> Callable[P, int]: ... class Add(Async): def meth(self, x: int, y: int) -> None: ... reveal_type(Add.async_func()) # N: Revealed type is "def (x: builtins.int, y: builtins.int) -> builtins.int" reveal_type(Add().async_func()) # N: Revealed type is "def (x: builtins.int, y: builtins.int) -> builtins.int" [builtins fixtures/classmethod.pyi] [case testSelfTypeMethodOnClassObject] from typing import Self class Object: # Needed to mimic object in typeshed ref: Self class Foo: def foo(self) -> Self: return self class Ben(Object): MY_MAP = { "foo": Foo.foo, } @classmethod def doit(cls) -> Foo: reveal_type(cls.MY_MAP) # N: Revealed type is "builtins.dict[builtins.str, def [Self <: __main__.Foo] (self: Self`1) -> Self`1]" foo_method = cls.MY_MAP["foo"] return foo_method(Foo()) [builtins fixtures/isinstancelist.pyi] [case testSelfTypeOnGenericClassObjectNewStyleBound] from typing import Generic, TypeVar, Self T = TypeVar("T") S = TypeVar("S") class B(Generic[T, S]): def copy(self) -> Self: ... b: B[int, str] reveal_type(B.copy(b)) # N: Revealed type is "__main__.B[builtins.int, builtins.str]" class C(B[T, S]): ... c: C[int, str] reveal_type(C.copy(c)) # N: Revealed type is "__main__.C[builtins.int, builtins.str]" B.copy(42) # E: Value of type variable "Self" of "copy" of "B" cannot be "int" C.copy(42) # E: Value of type variable "Self" of "copy" of "B" cannot be "int" [builtins fixtures/tuple.pyi] [case testRecursiveSelfTypeCallMethodNoCrash] from typing import Callable, TypeVar T = TypeVar("T") class Partial: def __call__(self: Callable[..., T]) -> T: ... class Partial2: def __call__(self: Callable[..., T], x: T) -> T: ... p: Partial reveal_type(p()) # N: Revealed type is "Never" p2: Partial2 reveal_type(p2(42)) # N: Revealed type is "builtins.int" [case testAccessingSelfClassVarInClassMethod] from typing import Self, ClassVar, Type, TypeVar T = TypeVar("T", bound="Foo") class Foo: instance: ClassVar[Self] @classmethod def get_instance(cls) -> Self: return reveal_type(cls.instance) # N: Revealed type is "Self`0" @classmethod def get_instance_old(cls: Type[T]) -> T: return reveal_type(cls.instance) # N: Revealed type is "T`-1" class Bar(Foo): extra: int @classmethod def get_instance(cls) -> Self: reveal_type(cls.instance.extra) # N: Revealed type is "builtins.int" return cls.instance @classmethod def other(cls) -> None: reveal_type(cls.instance) # N: Revealed type is "Self`0" reveal_type(cls.instance.extra) # N: Revealed type is "builtins.int" reveal_type(Bar.instance) # N: Revealed type is "__main__.Bar" [builtins fixtures/classmethod.pyi] [case testAccessingSelfClassVarInClassMethodTuple] from typing import Self, ClassVar, Tuple class C(Tuple[int, str]): x: Self y: ClassVar[Self] @classmethod def bar(cls) -> None: reveal_type(cls.y) # N: Revealed type is "Self`0" @classmethod def bar_self(self) -> Self: return reveal_type(self.y) # N: Revealed type is "Self`0" c: C reveal_type(c.x) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.C]" reveal_type(c.y) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.C]" reveal_type(C.y) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.C]" C.x # E: Access to generic instance variables via class is ambiguous [builtins fixtures/classmethod.pyi] [case testAccessingTypingSelfUnion] from typing import Self, Union class C: x: Self class D: x: int x: Union[C, D] reveal_type(x.x) # N: Revealed type is "Union[__main__.C, builtins.int]" [case testCallableProtocolTypingSelf] from typing import Protocol, Self class MyProtocol(Protocol): __name__: str def __call__( self: Self, ) -> None: ... def test() -> None: ... value: MyProtocol = test [case testCallableProtocolOldSelf] from typing import Protocol, TypeVar Self = TypeVar("Self", bound="MyProtocol") class MyProtocol(Protocol): __name__: str def __call__( self: Self, ) -> None: ... def test() -> None: ... value: MyProtocol = test [case testSelfTypeUnionIter] from typing import Self, Iterator, Generic, TypeVar, Union T = TypeVar("T") class range(Generic[T]): def __iter__(self) -> Self: ... def __next__(self) -> T: ... class count: def __iter__(self) -> Iterator[int]: ... def foo(x: Union[range[int], count]) -> None: for item in x: reveal_type(item) # N: Revealed type is "builtins.int" [case testGenericDescriptorWithSelfTypeAnnotationsAndOverloads] from __future__ import annotations from typing import Any, overload, Callable, TypeVar, Generic, ParamSpec from typing_extensions import Concatenate C = TypeVar("C", bound=Callable[..., Any]) S = TypeVar("S") P = ParamSpec("P") R = TypeVar("R") class Descriptor(Generic[C]): def __init__(self, impl: C) -> None: ... @overload def __get__( self: Descriptor[C], instance: None, owner: type | None ) -> Descriptor[C]: ... @overload def __get__( self: Descriptor[Callable[Concatenate[S, P], R]], instance: S, owner: type | None, ) -> Callable[P, R]: ... def __get__(self, *args, **kwargs): ... class Test: @Descriptor def method(self, foo: int, bar: str) -> bytes: ... reveal_type(Test().method) # N: Revealed type is "def (foo: builtins.int, bar: builtins.str) -> builtins.bytes" class Test2: @Descriptor def method(self, foo: int, *, bar: str) -> bytes: ... reveal_type(Test2().method) # N: Revealed type is "def (foo: builtins.int, *, bar: builtins.str) -> builtins.bytes" [builtins fixtures/tuple.pyi] [case testSelfInMultipleInheritance] from typing_extensions import Self class A: foo: int def method(self: Self, other: Self) -> None: self.foo other.foo class B: bar: str def method(self: Self, other: Self) -> None: self.bar other.bar class C(A, B): # OK: both methods take Self pass [builtins fixtures/tuple.pyi] [case testSelfTypeClassMethodNotSilentlyErased] from typing import Self, Optional class X: _inst: Optional[Self] = None @classmethod def default(cls) -> Self: reveal_type(cls._inst) # N: Revealed type is "Union[Self`0, None]" if cls._inst is None: cls._inst = cls() return cls._inst reveal_type(X._inst) # E: Access to generic instance variables via class is ambiguous \ # N: Revealed type is "Union[__main__.X, None]" reveal_type(X()._inst) # N: Revealed type is "Union[__main__.X, None]" class Y(X): ... reveal_type(Y._inst) # E: Access to generic instance variables via class is ambiguous \ # N: Revealed type is "Union[__main__.Y, None]" reveal_type(Y()._inst) # N: Revealed type is "Union[__main__.Y, None]" [builtins fixtures/tuple.pyi] [case testSelfInFuncDecoratedClassmethod] from collections.abc import Callable from typing import Self, TypeVar T = TypeVar("T") def debug(make: Callable[[type[T]], T]) -> Callable[[type[T]], T]: return make class Foo: @classmethod @debug def make(cls) -> Self: return cls() class Bar(Foo): ... reveal_type(Foo.make()) # N: Revealed type is "__main__.Foo" reveal_type(Foo().make()) # N: Revealed type is "__main__.Foo" reveal_type(Bar.make()) # N: Revealed type is "__main__.Bar" reveal_type(Bar().make()) # N: Revealed type is "__main__.Bar" [builtins fixtures/tuple.pyi] [case testSelfInClassDecoratedClassmethod] from typing import Callable, Generic, TypeVar, Self T = TypeVar("T") class W(Generic[T]): def __init__(self, fn: Callable[..., T]) -> None: ... def __call__(self) -> T: ... class Check: @W def foo(self) -> Self: ... reveal_type(Check.foo()) # N: Revealed type is "def () -> __main__.Check" reveal_type(Check().foo()) # N: Revealed type is "__main__.Check" [builtins fixtures/tuple.pyi] [case testSelfInClassmethodWithOtherSelfMethod] from typing import Any, Callable, Self, TypeVar _C = TypeVar("_C", bound=Callable[..., Any]) def identity(func: _C, /) -> _C: return func class A: def meth(self) -> Self: ... @classmethod def other_meth(cls) -> Self: reveal_type(cls.meth) # N: Revealed type is "def [Self <: __main__.A] (self: Self`1) -> Self`1" reveal_type(A.meth) # N: Revealed type is "def [Self <: __main__.A] (self: Self`2) -> Self`2" return cls().meth() class B: @identity def meth(self) -> Self: ... @classmethod def other_meth(cls) -> Self: reveal_type(cls.meth) # N: Revealed type is "def [Self <: __main__.B] (self: Self`5) -> Self`5" reveal_type(B.meth) # N: Revealed type is "def [Self <: __main__.B] (self: Self`6) -> Self`6" return cls().meth() class C: @classmethod def other_meth(cls) -> Self: ... def meth(self) -> Self: reveal_type(self.other_meth) # N: Revealed type is "def () -> Self`0" reveal_type(type(self).other_meth) # N: Revealed type is "def () -> Self`0" return self.other_meth() [builtins fixtures/tuple.pyi] [case testSelfTypeUpperBoundFiler] from typing import Generic, TypeVar, overload, Sequence class B: ... class C(B): ... TB = TypeVar("TB", bound=B) TC = TypeVar("TC", bound=C) class G(Generic[TB]): @overload def test(self: G[TC]) -> list[TC]: ... @overload def test(self: G[TB]) -> Sequence[TB]: ... def test(self): ... class D1(B): ... class D2(C): ... gb: G[D1] gc: G[D2] reveal_type(gb.test()) # N: Revealed type is "typing.Sequence[__main__.D1]" reveal_type(gc.test()) # N: Revealed type is "builtins.list[__main__.D2]" [builtins fixtures/list.pyi] [case testEnumImplicitlyFinalForSelfType] from enum import Enum from typing import Self # This enum has members and so is implicitly final. # Foo and Self are interchangeable within the class. class Foo(Enum): A = 1 @classmethod def foo(cls) -> Self: return Foo.A @classmethod def foo2(cls) -> Self: return cls.bar() @classmethod def bar(cls) -> Foo: ... # This enum is empty and should not be assignable to Self class Bar(Enum): @classmethod def foo(cls) -> Self: return cls.bar() # E: Incompatible return value type (got "Bar", expected "Self") @classmethod def bar(cls) -> Bar: ... [builtins fixtures/classmethod.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-semanal-error.test0000644000175100017510000001507115112307767021653 0ustar00runnerrunner-- Type checking after an error during semantic analysis -- ----------------------------------------------------- -- -- This tests both the semantic analyzer (that it does not generate -- corrupt state on error) and the type checker (that it can deal with -- whatever state the semantic analyzer sets up). -- TODO: -- - invalid type in annotation -- - invalid function comment type annotation -- - invalid multiple assignment type annotation -- - using a type variable as a value -- - using special names defined in typing as values [case testMissingModuleImport1] import m # E m.foo() m.x = m.y 1() # E [out] main:1: error: Cannot find implementation or library stub for module named "m" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:4: error: "int" not callable [case testMissingModuleImport2] from m import x # E x.foo() x.a = x.b 1() # E [out] main:1: error: Cannot find implementation or library stub for module named "m" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:4: error: "int" not callable [case testMissingModuleImport3] from m import * # E x # E 1() # E [out] main:1: error: Cannot find implementation or library stub for module named "m" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Name "x" is not defined main:3: error: "int" not callable [case testInvalidBaseClass1] class A(X): # E: Name "X" is not defined x = 1 A().foo(1) A().x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testInvalidBaseClass2] X = 1 class A(X): # E x = 1 A().foo(1) A().x = '' # E [out] main:3: error: Variable "__main__.X" is not valid as a type main:3: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases main:3: error: Invalid base class "X" main:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testInvalidNumberOfTypeArgs] from typing import TypeVar T = TypeVar('T') class C: # Forgot to add type params here def __init__(self, t: T) -> None: pass c = C(t=3) # type: C[int] # E: "C" expects no type arguments, but 1 given [case testBreakOutsideLoop] break # E: "break" outside loop [case testContinueOutsideLoop] continue # E: "continue" outside loop [case testYieldOutsideFunction] yield # E: "yield" outside function x = 1 yield from x # E: "yield from" outside function [(yield 1) for _ in x] # E: "yield" inside comprehension or generator expression {(yield 1) for _ in x} # E: "yield" inside comprehension or generator expression {i: (yield 1) for i in x} # E: "yield" inside comprehension or generator expression ((yield 1) for _ in x) # E: "yield" inside comprehension or generator expression y = 1 [(yield from x) for _ in y] # E: "yield from" inside comprehension or generator expression {(yield from x) for _ in y} # E: "yield from" inside comprehension or generator expression {i: (yield from x) for i in y} # E: "yield from" inside comprehension or generator expression ((yield from x) for _ in y) # E: "yield from" inside comprehension or generator expression def f(y): [x for x in (yield y)] {x for x in (yield y)} {x: x for x in (yield y)} (x for x in (yield y)) [x for x in (yield from y)] {x for x in (yield from y)} {x: x for x in (yield from y)} (x for x in (yield from y)) def g(y): [(yield 1) for _ in y] # E: "yield" inside comprehension or generator expression {(yield 1) for _ in y} # E: "yield" inside comprehension or generator expression {i: (yield 1) for i in y} # E: "yield" inside comprehension or generator expression ((yield 1) for _ in y) # E: "yield" inside comprehension or generator expression lst = 1 [(yield from lst) for _ in y] # E: "yield from" inside comprehension or generator expression {(yield from lst) for _ in y} # E: "yield from" inside comprehension or generator expression {i: (yield from lst) for i in y} # E: "yield from" inside comprehension or generator expression ((yield from lst) for _ in y) # E: "yield from" inside comprehension or generator expression def h(y): lst = 1 [x for x in lst if (yield y)] # E: "yield" inside comprehension or generator expression {x for x in lst if (yield y)} # E: "yield" inside comprehension or generator expression {x: x for x in lst if (yield y)} # E: "yield" inside comprehension or generator expression (x for x in lst if (yield y)) # E: "yield" inside comprehension or generator expression lst = 1 [x for x in lst if (yield from y)] # E: "yield from" inside comprehension or generator expression {x for x in lst if (yield from y)} # E: "yield from" inside comprehension or generator expression {x: x for x in lst if (yield from y)} # E: "yield from" inside comprehension or generator expression (x for x in lst if (yield from y)) # E: "yield from" inside comprehension or generator expression [case testImportFuncDup] import m def m() -> None: ... # E: Name "m" already defined (by an import) [file m.py] [out] [case testIgnoredImportDup] import m # type: ignore from m import f # type: ignore def m() -> None: ... # E: Name "m" already defined (possibly by an import) def f() -> None: ... # E: Name "f" already defined (possibly by an import) [out] [case testRuntimeProtoTwoBases] from typing import TypeVar, Generic, Protocol, runtime_checkable T = TypeVar('T') @runtime_checkable class P(Protocol, Generic[T]): attr: T class C: attr: int x: P[int] = C() [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testSemanalDoesNotLeakSyntheticTypes] # flags: --cache-fine-grained from typing import Generic, NamedTuple, TypedDict, TypeVar from dataclasses import dataclass T = TypeVar('T') class Wrap(Generic[T]): pass invalid_1: 1 + 2 # E: Invalid type comment or annotation invalid_2: Wrap[1 + 2] # E: Invalid type comment or annotation class A: invalid_1: 1 + 2 # E: Invalid type comment or annotation invalid_2: Wrap[1 + 2] # E: Invalid type comment or annotation class B(NamedTuple): invalid_1: 1 + 2 # E: Invalid type comment or annotation invalid_2: Wrap[1 + 2] # E: Invalid type comment or annotation class C(TypedDict): invalid_1: 1 + 2 # E: Invalid type comment or annotation invalid_2: Wrap[1 + 2] # E: Invalid type comment or annotation @dataclass class D: invalid_1: 1 + 2 # E: Invalid type comment or annotation invalid_2: Wrap[1 + 2] # E: Invalid type comment or annotation [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-serialize.test0000644000175100017510000007351315112307767021100 0ustar00runnerrunner-- Serialization test cases (incremental type checking) -- -- These test that modules deserialized from cache files behave -- identically to modules that have undergone full type checking. -- -- These tests are written using the same syntax as test cases in -- check-incremental.test. Look at the comment at that the top of -- that file for the details of how these tests work. -- -- There is probably some overlap with check-incremental.test, but it -- is perhaps not worth trying to simplify these, since a few redundant -- test cases are cheap but accidentally losing test coverage is bad. -- -- These are intended to be straightforward, and do not test import -- cycles and other tricky business. Add test cases for complex things -- to check-incremental.test. -- -- Basic things -- [case testSerializeModuleAttribute] import a [file a.py] import b [file a.py.2] import b y = b.x # type: int [file b.py] x = '' -- We only do the following two sections once here to avoid repetition. -- Most other test cases are similar. [rechecked a] [stale a] [out2] tmp/a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") -- -- Functions -- [case testSerializeAnnotatedFunction] import a [file a.py] import b [file a.py.2] import b b.f(1) x = b.f('') # type: str [file b.py] def f(x: str) -> int: pass [out2] tmp/a.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" tmp/a.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testSerializeUnannotatedFunction] import a [file a.py] import b [file a.py.2] import b b.f(x=1) b.f() [file b.py] def f(x): pass [out2] tmp/a.py:3: error: Missing positional argument "x" in call to "f" [case testSerializeGenericFunction] import a [file a.py] import b [file a.py.2] from b import f reveal_type(f(1)) reveal_type(f(x='')) [file b.py] from typing import TypeVar T = TypeVar('T') def f(x: T) -> T: return x [out2] tmp/a.py:2: note: Revealed type is "builtins.int" tmp/a.py:3: note: Revealed type is "builtins.str" [case testSerializeFunctionReturningGenericFunction] import a [file a.py] import b [file a.py.2] import b reveal_type(b.f) reveal_type(b.f()('')) [file b.py] from typing import TypeVar, Callable T = TypeVar('T') def f() -> Callable[[T], T]: pass [out2] tmp/a.py:2: note: Revealed type is "def () -> def [T] (T`-1) -> T`-1" tmp/a.py:3: note: Revealed type is "builtins.str" [case testSerializeArgumentKinds] import a [file a.py] import b [file a.py.2] from b import f f(1, z=1) f(1, '', z=1) f(1, y='', z=1) f(1, '', 2, 3, z=1) f(1, '', zz=1, z=1) f(1, '', foo='', z=1) [file b.py] def f(x: int, y: str = '', *args: int, z: int, zz: int = 1, **kw: str) -> None: pass [builtins fixtures/dict.pyi] [out2] [case testSerializeCallableWithBoundTypeArguments] import a [file a.py] import b [file a.py.2] import b x = b.f [file b.py] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def f(self, x: T) -> None: pass c: C[int] f = c.f [out] [out2] [case testSerializePositionalOnlyArgument] import a [file a.py] import b [file a.py.2] import b b.f(1) b.f('') b.f(__x=1) [file b.py] def f(__x: int) -> None: pass [out2] tmp/a.py:3: error: Argument 1 to "f" has incompatible type "str"; expected "int" tmp/a.py:4: error: Unexpected keyword argument "__x" for "f" tmp/b.py: note: "f" defined here [case testSerializeArgumentKindsErrors] import a [file a.py] import b [file a.py.2] from b import f f('', z=1) # Line 2 f(1, 2, z=1) # 3 f(1, y=1, z=1) # 4 f(1, '', 2, '', z=1) # 5 f(1, '', z='') # 6 f(1, '', zz='', z=1) # 7 f(1, '', z=1, foo=1) # 8 [file b.py] def f(x: int, y: str = '', *args: int, z: int, zz: int = 1, **kw: str) -> None: pass [builtins fixtures/dict.pyi] [out2] tmp/a.py:2: error: Argument 1 to "f" has incompatible type "str"; expected "int" tmp/a.py:3: error: Argument 2 to "f" has incompatible type "int"; expected "str" tmp/a.py:4: error: Argument "y" to "f" has incompatible type "int"; expected "str" tmp/a.py:5: error: Argument 4 to "f" has incompatible type "str"; expected "int" tmp/a.py:6: error: Argument "z" to "f" has incompatible type "str"; expected "int" tmp/a.py:7: error: Argument "zz" to "f" has incompatible type "str"; expected "int" tmp/a.py:8: error: Argument "foo" to "f" has incompatible type "int"; expected "str" [case testSerializeOverloadedFunction] import a [file a.py] import b [file a.py.2] import b reveal_type(b.f(1)) reveal_type(b.f('')) [file b.pyi] from typing import overload @overload def f(x: int) -> int: pass @overload def f(x: str) -> str: pass [out2] tmp/a.py:2: note: Revealed type is "builtins.int" tmp/a.py:3: note: Revealed type is "builtins.str" [case testSerializeDecoratedFunction] import a [file a.py] import b [file a.py.2] import b reveal_type(b.f('')) b.f(x=1) [file b.py] from typing import Callable def dec(f: Callable[[int], int]) -> Callable[[str], str]: pass @dec def f(x: int) -> int: pass [out2] tmp/a.py:2: note: Revealed type is "builtins.str" tmp/a.py:3: error: Unexpected keyword argument "x" for "f" tmp/b.py: note: "f" defined here [case testSerializeTypeGuardFunction] import a [file a.py] import b [file a.py.2] import b reveal_type(b.guard('')) reveal_type(b.guard) [file b.py] from typing_extensions import TypeGuard def guard(a: object) -> TypeGuard[str]: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:2: note: Revealed type is "builtins.bool" tmp/a.py:3: note: Revealed type is "def (a: builtins.object) -> TypeGuard[builtins.str]" -- -- Classes -- [case testSerializeClassAttribute] import a [file a.py] import b [file a.py.2] import b b.A().x = '' [file b.py] class A: x = 1 [out2] tmp/a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testSerializeMethod] import a [file a.py] import b [file a.py.2] import b b.A().f('') [file b.py] class A: def f(self, x: int) -> None: pass [out2] tmp/a.py:2: error: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [case testSerialize__init__] import a [file a.py] import b [file a.py.2] from b import A A('') class B(A): def f(self) -> None: super().__init__('') [file b.py] class A: def __init__(self, x: int) -> None: pass [out2] tmp/a.py:2: error: Argument 1 to "A" has incompatible type "str"; expected "int" tmp/a.py:5: error: Argument 1 to "__init__" of "A" has incompatible type "str"; expected "int" [case testSerializeOverloaded__init__] import a [file a.py] import b [file a.py.2] from b import A A(object()) # E A(x='') A(0) class B(A): def f(self) -> None: super().__init__(object()) # E super().__init__('') super().__init__(0) [file b.pyi] from typing import overload class A: @overload def __init__(self, x: int) -> None: pass @overload def __init__(self, x: str) -> None: pass [out2] tmp/a.py:2: error: No overload variant of "A" matches argument type "object" tmp/a.py:2: note: Possible overload variants: tmp/a.py:2: note: def A(self, x: int) -> A tmp/a.py:2: note: def A(self, x: str) -> A tmp/a.py:7: error: No overload variant of "__init__" of "A" matches argument type "object" tmp/a.py:7: note: Possible overload variants: tmp/a.py:7: note: def __init__(self, x: int) -> None tmp/a.py:7: note: def __init__(self, x: str) -> None [case testSerialize__new__] import a [file a.py] import b [file a.py.2] from b import A A('') [file b.py] class A: def __new__(cls, x: int) -> 'A': pass [out2] tmp/a.py:2: error: Argument 1 to "A" has incompatible type "str"; expected "int" [case testSerializeClassVar] import a [file a.py] import b [file a.py.2] from b import A A.x = '' A().x = 1 [file b.py] from typing import ClassVar class A: x: ClassVar[int] [out2] tmp/a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") tmp/a.py:3: error: Cannot assign to class variable "x" via instance [case testSerializeGenericClass] import a [file a.py] import b [file a.py.2] from b import A a1: A[int, str] = A(1) a2: A[int, str] = A('') reveal_type(a1.y) reveal_type(a1.f()) [file b.py] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): x: T y: S def __init__(self, x: T) -> None: self.x = x def f(self) -> T: return self.x [out2] tmp/a.py:3: error: Argument 1 to "A" has incompatible type "str"; expected "int" tmp/a.py:4: note: Revealed type is "builtins.str" tmp/a.py:5: note: Revealed type is "builtins.int" [case testSerializeAbstractClass] import a [file a.py] import b [file a.py.2] from b import A A() class B(A): def f(self) -> None: pass x: int B() a: A a.f() a.x = 1 [file b.py] from abc import ABCMeta, abstractmethod, abstractproperty class A(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass @abstractproperty def x(self) -> int: return 0 [typing fixtures/typing-medium.pyi] [out2] tmp/a.py:2: error: Cannot instantiate abstract class "A" with abstract attributes "f" and "x" tmp/a.py:9: error: Property "x" defined in "A" is read-only [case testSerializeStaticMethod] import a [file a.py] import b [file a.py.2] from b import A A.f(1) A.f() A().f() [file b.py] class A: @staticmethod def f() -> None: pass [builtins fixtures/staticmethod.pyi] [out2] tmp/a.py:2: error: Too many arguments for "f" of "A" [case testSerializeClassMethod] import a [file a.py] import b [file a.py.2] from b import A A.f(1) A.f() A().f() [file b.py] class A: @classmethod def f(cls) -> None: pass [builtins fixtures/classmethod.pyi] [out2] tmp/a.py:2: error: Too many arguments for "f" of "A" [case testSerializeReadOnlyProperty] import a [file a.py] import b [file a.py.2] from b import A reveal_type(A().x) A().x = 0 [file b.py] class A: @property def x(self) -> int: return 0 [builtins fixtures/property.pyi] [out2] tmp/a.py:2: note: Revealed type is "builtins.int" tmp/a.py:3: error: Property "x" defined in "A" is read-only [case testSerializeReadWriteProperty] import a [file a.py] import b [file a.py.2] from b import A reveal_type(A().x) A().x = '' A().x = 0 [file b.py] class A: @property def x(self) -> int: return 0 @x.setter def x(self, v: int) -> None: pass [builtins fixtures/property.pyi] [out2] tmp/a.py:2: note: Revealed type is "builtins.int" tmp/a.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testSerializeSelfType] import a [file a.py] import b [file a.py.2] from b import A reveal_type(A().f()) class B(A): pass reveal_type(B().f()) [file b.py] from typing import TypeVar T = TypeVar('T', bound='A') class A: def f(self: T) -> T: return self [out2] tmp/a.py:2: note: Revealed type is "b.A" tmp/a.py:4: note: Revealed type is "a.B" [case testSerializeInheritance] import a [file a.py] import b [file a.py.2] from b import A, B, C C().f(1) # E C().g(1) # E reveal_type(C().h()) a: A = C() b: B = C() i: int = C() # E [file b.py] class A: def f(self) -> int: pass class B: def g(self) -> str: pass def h(self) -> object: pass class C(A, B): def h(self) -> int: pass [out2] tmp/a.py:2: error: Too many arguments for "f" of "A" tmp/a.py:3: error: Too many arguments for "g" of "B" tmp/a.py:4: note: Revealed type is "builtins.int" tmp/a.py:7: error: Incompatible types in assignment (expression has type "C", variable has type "int") [case testSerializeGenericInheritance] import a [file a.py] import b [file a.py.2] from b import B b: B[int] reveal_type(b.f()) [file b.py] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def f(self) -> T: pass class B(A[A[T]]): pass [out2] tmp/a.py:3: note: Revealed type is "b.A[builtins.int]" [case testSerializeFixedLengthTupleBaseClass] import a [file a.py] import b [file a.py.2] from b import A a: A a.f(1) reveal_type((a[0], a[1])) [file b.py] from typing import Tuple class A(Tuple[int, str]): def f(self) -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:3: error: Too many arguments for "f" of "A" tmp/a.py:4: note: Revealed type is "tuple[builtins.int, builtins.str]" [case testSerializeVariableLengthTupleBaseClass] import a [file a.py] import b [file a.py.2] from b import A a: A a.f(1) reveal_type((a[0], a[1])) [file b.py] from typing import Tuple class A(Tuple[int, ...]): def f(self) -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:3: error: Too many arguments for "f" of "A" tmp/a.py:4: note: Revealed type is "tuple[builtins.int, builtins.int]" [case testSerializePlainTupleBaseClass] import a [file a.py] import b [file a.py.2] from b import A a: A a.f(1) reveal_type((a[0], a[1])) [file b.py] from typing import Tuple class A(tuple): def f(self) -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:3: error: Too many arguments for "f" of "A" tmp/a.py:4: note: Revealed type is "tuple[Any, Any]" [case testSerializeNamedTupleBaseClass] import a [file a.py] import b [file a.py.2] from b import A a: A a.f(1) reveal_type((a[0], a[1])) reveal_type((a.x, a.y)) [file b.py] from typing import NamedTuple class A(NamedTuple('N', [('x', int), ('y', str)])): def f(self) -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:3: error: Too many arguments for "f" of "A" tmp/a.py:4: note: Revealed type is "tuple[builtins.int, builtins.str]" tmp/a.py:5: note: Revealed type is "tuple[builtins.int, builtins.str]" [case testSerializeAnyBaseClass] import a [file a.py] import b [file a.py.2] from b import B B().f(1) reveal_type(B().xyz) [file b.py] from typing import Any A: Any class B(A): def f(self) -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:2: error: Too many arguments for "f" of "B" tmp/a.py:3: note: Revealed type is "Any" [case testSerializeIndirectAnyBaseClass] import a [file a.py] import b [file a.py.2] from b import C C().f(1) C().g(1) reveal_type(C().xyz) [file b.py] from typing import Any A: Any class B(A): def f(self) -> None: pass class C(B): def g(self) -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:2: error: Too many arguments for "f" of "B" tmp/a.py:3: error: Too many arguments for "g" of "C" tmp/a.py:4: note: Revealed type is "Any" [case testSerializeNestedClass] import a [file a.py] import b [file a.py.2] import b b.A.B().f(1) b.A.B.C().g(1) b.b.f(1) b.c.g(1) [file b.py] class A: class B: def f(self) -> None: pass class C: def g(self) -> None: pass b: A.B c: A.B.C [builtins fixtures/tuple.pyi] [out2] tmp/a.py:2: error: Too many arguments for "f" of "B" tmp/a.py:3: error: Too many arguments for "g" of "C" tmp/a.py:4: error: Too many arguments for "f" of "B" tmp/a.py:5: error: Too many arguments for "g" of "C" [case testSerializeCallableVsTypeObjectDistinction] import a [file a.py] import b [file a.py.2] import b t: type t = b.A if int(): t = b.f # E [file b.py] class A: pass def f() -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:5: error: Incompatible types in assignment (expression has type "Callable[[], None]", variable has type "type") [case testSerializeOverloadedVsTypeObjectDistinction] import a [file a.py] import b [file a.py.2] import b t: type t = b.A if int(): t = b.f # E [file b.pyi] from typing import overload class A: @overload def __init__(self) -> None: pass @overload def __init__(self, x: int) -> None: pass @overload def f() -> None: pass @overload def f(x: int) -> None: pass [builtins fixtures/tuple.pyi] [out2] tmp/a.py:5: error: Incompatible types in assignment (expression has type overloaded function, variable has type "type") [case testSerializeNamedTupleInMethod4] from ntcrash import C reveal_type(C().a) reveal_type(C().b) reveal_type(C().c) [file ntcrash.py] from typing import NamedTuple class C: def __init__(self) -> None: A = NamedTuple('A', [('x', int)]) self.a = A(0) self.b = A(0) # type: A self.c = A [builtins fixtures/tuple.pyi] [out1] main:2: note: Revealed type is "tuple[builtins.int, fallback=ntcrash.C.A@4]" main:3: note: Revealed type is "tuple[builtins.int, fallback=ntcrash.C.A@4]" main:4: note: Revealed type is "def (x: builtins.int) -> tuple[builtins.int, fallback=ntcrash.C.A@4]" [out2] main:2: note: Revealed type is "tuple[builtins.int, fallback=ntcrash.C.A@4]" main:3: note: Revealed type is "tuple[builtins.int, fallback=ntcrash.C.A@4]" main:4: note: Revealed type is "def (x: builtins.int) -> tuple[builtins.int, fallback=ntcrash.C.A@4]" -- -- Strict optional -- [case testSerializeOptionalType] import a [file a.py] import b [file a.py.2] import b reveal_type(b.x) b.f(b.x) [file b.py] from typing import Optional x: Optional[int] def f(x: int) -> None: pass [out2] tmp/a.py:2: note: Revealed type is "Union[builtins.int, None]" tmp/a.py:3: error: Argument 1 to "f" has incompatible type "Optional[int]"; expected "int" -- -- # type: ignore -- [case testSerializeIgnoredUndefinedType] import b reveal_type(b.x) [file b.py] x: NonExistent # type: ignore [out1] main:2: note: Revealed type is "Any" [out2] main:2: note: Revealed type is "Any" [case testSerializeIgnoredInvalidType] import b reveal_type(b.x) [file b.py] A = 0 x: A # type: ignore [out1] main:2: note: Revealed type is "A?" [out2] main:2: note: Revealed type is "A?" [case testSerializeIgnoredMissingBaseClass] import b reveal_type(b.B()) reveal_type(b.B().x) [file b.py] class B(A): pass # type: ignore [out1] main:2: note: Revealed type is "b.B" main:3: note: Revealed type is "Any" [out2] main:2: note: Revealed type is "b.B" main:3: note: Revealed type is "Any" [case testSerializeIgnoredInvalidBaseClass] import b reveal_type(b.B()) reveal_type(b.B().x) [file b.py] A = 0 class B(A): pass # type: ignore [out1] main:2: note: Revealed type is "b.B" main:3: note: Revealed type is "Any" [out2] main:2: note: Revealed type is "b.B" main:3: note: Revealed type is "Any" [case testSerializeIgnoredImport] import a [file a.py] import b [file a.py.2] import b reveal_type(b.m) reveal_type(b.x) [file b.py] import m # type: ignore from m import x # type: ignore [out2] tmp/a.py:2: note: Revealed type is "Any" tmp/a.py:3: note: Revealed type is "Any" -- -- TypeVar -- [case testSerializeSimpleTypeVar] import a [file a.py] import b [file a.py.2] import b def f(x: b.T) -> b.T: return x reveal_type(f) [file b.py] from typing import TypeVar T = TypeVar('T') [out2] tmp/a.py:3: note: Revealed type is "def [b.T] (x: b.T`-1) -> b.T`-1" [case testSerializeBoundedTypeVar] import a [file a.py] import b [file a.py.2] import b def f(x: b.T) -> b.T: return x reveal_type(f) reveal_type(b.g) [file b.py] from typing import TypeVar T = TypeVar('T', bound=int) def g(x: T) -> T: return x [out2] tmp/a.py:3: note: Revealed type is "def [b.T <: builtins.int] (x: b.T`-1) -> b.T`-1" tmp/a.py:4: note: Revealed type is "def [T <: builtins.int] (x: T`-1) -> T`-1" [case testSerializeTypeVarWithValues] import a [file a.py] import b [file a.py.2] import b def f(x: b.T) -> b.T: return x reveal_type(f) reveal_type(b.g) [file b.py] from typing import TypeVar T = TypeVar('T', int, str) def g(x: T) -> T: return x [out2] tmp/a.py:3: note: Revealed type is "def [b.T in (builtins.int, builtins.str)] (x: b.T`-1) -> b.T`-1" tmp/a.py:4: note: Revealed type is "def [T in (builtins.int, builtins.str)] (x: T`-1) -> T`-1" [case testSerializeTypeVarInClassBody] import a [file a.py] import b [file a.py.2] from b import A def f(x: A.T) -> A.T: return x reveal_type(f) [file b.py] from typing import TypeVar class A: T = TypeVar('T', int, str) [out2] tmp/a.py:3: note: Revealed type is "def [A.T in (builtins.int, builtins.str)] (x: A.T`-1) -> A.T`-1" -- -- NewType -- [case testSerializeNewType] import a [file a.py] import b [file a.py.2] import b y: b.N y = 1 i = y b.x = 1 b.x = y y = b.N(1) y = b.N('') [file b.py] from typing import NewType N = NewType('N', int) x: N [out2] tmp/a.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "N") tmp/a.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "N") tmp/a.py:8: error: Argument 1 to "N" has incompatible type "str"; expected "int" -- -- Named tuples -- [case testSerializeNamedTuple] import a [file a.py] import b [file a.py.2] import b from typing import Tuple y: b.N t: Tuple[int] y = t b.x = t t = y b.x = t reveal_type(b.N(x=1)) reveal_type(y[0]) b.N(x='') [file b.py] from typing import NamedTuple N = NamedTuple('N', [('x', int)]) x: N [builtins fixtures/tuple.pyi] [out2] tmp/a.py:5: error: Incompatible types in assignment (expression has type "tuple[int]", variable has type "N") tmp/a.py:6: error: Incompatible types in assignment (expression has type "tuple[int]", variable has type "N") tmp/a.py:9: note: Revealed type is "tuple[builtins.int, fallback=b.N]" tmp/a.py:10: note: Revealed type is "builtins.int" tmp/a.py:11: error: Argument "x" to "N" has incompatible type "str"; expected "int" -- -- Types and type aliases -- [case testSerializeTypeAliases] import a [file a.py] import b [file a.py.2] import b d: b.D a: b.A u: b.U l: b.L t: b.T c: b.C ty: b.Ty reveal_type(d) reveal_type(a) reveal_type(u) reveal_type(l) reveal_type(t) reveal_type(c) reveal_type(ty) c2: b.C2 reveal_type(c2) ty2: b.Ty2 reveal_type(ty2) [file b.py] from typing import Any, Union, List, Tuple, Callable, Type class DD: pass D = DD A = Any U = Union[int, str] L = List[int] T = Tuple[int, str] C = Callable[[int], str] C2 = Callable[..., str] Ty = Type[int] Ty2 = type [builtins fixtures/list.pyi] [out2] tmp/a.py:9: note: Revealed type is "b.DD" tmp/a.py:10: note: Revealed type is "Any" tmp/a.py:11: note: Revealed type is "Union[builtins.int, builtins.str]" tmp/a.py:12: note: Revealed type is "builtins.list[builtins.int]" tmp/a.py:13: note: Revealed type is "tuple[builtins.int, builtins.str]" tmp/a.py:14: note: Revealed type is "def (builtins.int) -> builtins.str" tmp/a.py:15: note: Revealed type is "type[builtins.int]" tmp/a.py:17: note: Revealed type is "def (*Any, **Any) -> builtins.str" tmp/a.py:19: note: Revealed type is "builtins.type" [case testSerializeGenericTypeAlias] import b from b import X # Work around https://github.com/python/mypy/issues/2887 t: b.Y[int] reveal_type(t) [file b.py] from typing import TypeVar, Tuple X = TypeVar('X') Y = Tuple[X, str] [builtins fixtures/tuple.pyi] [out1] main:4: note: Revealed type is "tuple[builtins.int, builtins.str]" [out2] main:4: note: Revealed type is "tuple[builtins.int, builtins.str]" [case testSerializeTuple] # Don't repreat types tested by testSerializeTypeAliases here. import a [file a.py] import b [file a.py.2] import b reveal_type(b.x) reveal_type(b.y) [file b.py] from typing import Tuple x: Tuple[int, ...] y: tuple [builtins fixtures/tuple.pyi] [out2] tmp/a.py:2: note: Revealed type is "builtins.tuple[builtins.int, ...]" tmp/a.py:3: note: Revealed type is "builtins.tuple[Any, ...]" [case testSerializeNone] import a [file a.py] import b [file a.py.2] import b reveal_type(b.x) [file b.py] x: None [out2] tmp/a.py:2: note: Revealed type is "None" -- -- TypedDict -- [case testSerializeTypedDictInMethod] from ntcrash import C reveal_type(C().a) reveal_type(C().b) reveal_type(C().c) [file ntcrash.py] from typing import TypedDict class C: def __init__(self) -> None: A = TypedDict('A', {'x': int}) self.a = A(x=0) self.b = A(x=0) # type: A self.c = A [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out1] main:2: note: Revealed type is "TypedDict('ntcrash.C.A@4', {'x': builtins.int})" main:3: note: Revealed type is "TypedDict('ntcrash.C.A@4', {'x': builtins.int})" main:4: note: Revealed type is "def (*, x: builtins.int) -> TypedDict('ntcrash.C.A@4', {'x': builtins.int})" [out2] main:2: note: Revealed type is "TypedDict('ntcrash.C.A@4', {'x': builtins.int})" main:3: note: Revealed type is "TypedDict('ntcrash.C.A@4', {'x': builtins.int})" main:4: note: Revealed type is "def (*, x: builtins.int) -> TypedDict('ntcrash.C.A@4', {'x': builtins.int})" [case testSerializeNonTotalTypedDict] from m import d reveal_type(d) [file m.py] from typing import TypedDict D = TypedDict('D', {'x': int, 'y': str}, total=False) d: D [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out1] main:2: note: Revealed type is "TypedDict('m.D', {'x'?: builtins.int, 'y'?: builtins.str})" [out2] main:2: note: Revealed type is "TypedDict('m.D', {'x'?: builtins.int, 'y'?: builtins.str})" -- -- Modules -- [case testSerializeImport] import b b.c.f() b.c.g() [file b.py] import c [file c.py] def f() -> None: pass def g(x: int) -> None: pass [out1] main:3: error: Missing positional argument "x" in call to "g" [out2] main:3: error: Missing positional argument "x" in call to "g" [case testSerializeImportAs] import b b.d.f() b.d.g() [file b.py] import c as d [file c.py] def f() -> None: pass def g(x: int) -> None: pass [out1] main:3: error: Missing positional argument "x" in call to "g" [out2] main:3: error: Missing positional argument "x" in call to "g" [case testSerializeFromImportedClass] import b b.A(1) reveal_type(b.A()) [file b.py] from c import A [file c.py] class A: pass [out1] main:2: error: Too many arguments for "A" main:3: note: Revealed type is "c.A" [out2] main:2: error: Too many arguments for "A" main:3: note: Revealed type is "c.A" [case testSerializeFromImportedClassAs] import b b.B(1) reveal_type(b.B()) [file b.py] from c import A as B [file c.py] class A: pass [out1] main:2: error: Too many arguments for "A" main:3: note: Revealed type is "c.A" [out2] main:2: error: Too many arguments for "A" main:3: note: Revealed type is "c.A" [case testSerializeFromImportedModule] import b b.d.f() b.d.g() [file b.py] from c import d [file c/__init__.py] [file c/d.py] def f() -> None: pass def g(x: int) -> None: pass [out1] main:3: error: Missing positional argument "x" in call to "g" [out2] main:3: error: Missing positional argument "x" in call to "g" [case testSerializeQualifiedImport] import b b.c.d.f() b.c.d.g() [file b.py] import c.d [file c/__init__.py] [file c/d.py] def f() -> None: pass def g(x: int) -> None: pass [out1] main:3: error: Missing positional argument "x" in call to "g" [out2] main:3: error: Missing positional argument "x" in call to "g" [case testSerializeQualifiedImportAs] import b b.e.f() b.e.g() [file b.py] import c.d as e [file c/__init__.py] [file c/d.py] def f() -> None: pass def g(x: int) -> None: pass [out1] main:3: error: Missing positional argument "x" in call to "g" [out2] main:3: error: Missing positional argument "x" in call to "g" [case testSerialize__init__ModuleImport] import b b.c.f() b.c.g() a: b.c.d.A reveal_type(a) [file b.py] import c [file c/__init__.py] import d def f() -> None: pass def g(x: int) -> None: pass [file d.py] class A: pass [out1] main:3: error: Missing positional argument "x" in call to "g" main:5: note: Revealed type is "d.A" [out2] main:3: error: Missing positional argument "x" in call to "g" main:5: note: Revealed type is "d.A" [case testSerializeImportInClassBody] import b b.A.c.f() b.A.c.g() [file b.py] class A: import c [file c.py] def f() -> None: pass def g(x: int) -> None: pass [out1] main:3: error: Missing positional argument "x" in call to "g" [out2] main:3: error: Missing positional argument "x" in call to "g" [case testSerializeImportedTypeAlias] import b x: b.B reveal_type(x) [file b.py] from c import B [file c.py] from typing import Any class A: pass B = A [out1] main:3: note: Revealed type is "c.A" [out2] main:3: note: Revealed type is "c.A" [case testSerializeStarImport] import a [file a.py] import b [file a.py.2] import b b.f(1) x: b.A reveal_type(x) [file b.py] from c import * [file c.py] def f() -> None: pass class A: pass [out2] tmp/a.py:2: error: Too many arguments for "f" tmp/a.py:4: note: Revealed type is "c.A" [case testSerializeRelativeImport] import b.c b.c.f(1) [file b/__init__.py] [file b/c.py] from .d import f [file b/d.py] def f() -> None: pass [out1] main:2: error: Too many arguments for "f" [out2] main:2: error: Too many arguments for "f" [case testSerializeDummyType] # flags: --no-strict-optional import a [file a.py] import b reveal_type(b.Test(None).foo) [file a.py.2] import b reveal_type(b.Test(b.Foo()).foo) [file b.py] class Foo(object): pass class Test: def __init__(self, o: Foo) -> None: self.foo = None if callable(o): self.foo = o [builtins fixtures/callable.pyi] [out1] tmp/a.py:2: note: Revealed type is "b." [out2] tmp/a.py:2: note: Revealed type is "b." [case testSerializeForwardReferenceToAliasInProperty] import a [file a.py] import b [file a.py.2] import b reveal_type(b.A().p) [file b.py] class A: @property def p(self) -> C: pass @p.setter def p(self, c: C) -> None: pass @p.deleter def p(self) -> None: pass C = str [builtins fixtures/property.pyi] [out2] tmp/a.py:2: note: Revealed type is "builtins.str" [case testSerializeForwardReferenceToImportedAliasInProperty] import a [file a.py] import b [file a.py.2] import b reveal_type(b.A().p) [file b.py] class A: @property def p(self) -> C: pass @p.setter def p(self, c: C) -> None: pass @p.deleter def p(self) -> None: pass from m import C [file m.py] C = str [builtins fixtures/property.pyi] [out2] tmp/a.py:2: note: Revealed type is "builtins.str" [case testSerializeNestedClassStuff] # flags: --verbose import a [file a.py] import b [file a.py.2] import b # [file b.py] def foo() -> None: class Foo: class Bar: pass [case testSerializeGenericClassMethod] import a [file a.py] import b from typing import TypeVar T = TypeVar('T') class C: @classmethod def f(cls, x: T) -> T: ... x = C.f [file b.py] x = 1 [file b.py.2] x = 'yes' [builtins fixtures/classmethod.pyi] [case testSerializeGenericAbstractMethod] import a [file a.py] import b from typing import TypeVar from abc import abstractmethod T = TypeVar('T') class C: @abstractmethod def f(self, x: T) -> T: ... c: C x = c.f [file b.py] x = 1 [file b.py.2] x = 'yes' [case testSerializeGenericNormalMethod] import a [file a.py] import b from typing import TypeVar from abc import abstractmethod T = TypeVar('T') class C: def f(self, x: T) -> T: ... c: C x = c.f [file b.py] x = 1 [file b.py.2] x = 'yes' ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-singledispatch.test0000644000175100017510000001476715112307767022120 0ustar00runnerrunner[case testIncorrectDispatchArgumentWhenDoesntMatchFallback] from functools import singledispatch class A: pass class B(A): pass @singledispatch def fun(arg: A) -> None: pass @fun.register def fun_b(arg: B) -> None: pass fun(1) # E: Argument 1 to "fun" has incompatible type "int"; expected "A" # probably won't be required after singledispatch is special cased [builtins fixtures/args.pyi] [case testMultipleUnderscoreFunctionsIsntError] from functools import singledispatch @singledispatch def fun(arg) -> None: pass @fun.register def _(arg: str) -> None: pass @fun.register def _(arg: int) -> None: pass [builtins fixtures/args.pyi] [case testCheckNonDispatchArgumentsWithTypeAlwaysTheSame] from functools import singledispatch class A: pass class B(A): pass @singledispatch def f(arg: A, arg2: str) -> None: pass @f.register def g(arg: B, arg2: str) -> None: pass f(A(), 'a') f(A(), 5) # E: Argument 2 to "f" has incompatible type "int"; expected "str" f(B(), 'a') f(B(), 1) # E: Argument 2 to "f" has incompatible type "int"; expected "str" [builtins fixtures/args.pyi] [case testImplementationHasSameDispatchTypeAsFallback-xfail] from functools import singledispatch # TODO: differentiate between fallback and other implementations in error message @singledispatch def f(arg: int) -> None: # E: singledispatch implementation 1 will never be used: implementation 2's dispatch type is the same pass @f.register def g(arg: int) -> None: pass [builtins fixtures/args.pyi] [case testRegisterHasDifferentTypeThanTypeSignature-xfail] from functools import singledispatch @singledispatch def f(arg) -> None: pass @f.register(str) def g(arg: int) -> None: # E: Argument to register "str" is incompatible with type "int" in function signature pass [builtins fixtures/args.pyi] [case testTypePassedAsArgumentToRegister] from functools import singledispatch @singledispatch def f(arg: int) -> None: pass @f.register(str) def g(arg) -> None: # E: Dispatch type "str" must be subtype of fallback function first argument "int" pass [builtins fixtures/args.pyi] [case testCustomClassPassedAsTypeToRegister] from functools import singledispatch class A: pass @singledispatch def f(arg: int) -> None: pass @f.register(A) def g(arg) -> None: # E: Dispatch type "A" must be subtype of fallback function first argument "int" pass [builtins fixtures/args.pyi] [case testMultiplePossibleImplementationsForKnownType] from functools import singledispatch from typing import Union class A: pass class B(A): pass class C: pass @singledispatch def f(arg: Union[A, C]) -> None: pass @f.register def g(arg: B) -> None: pass @f.register def h(arg: C) -> None: pass x: Union[B, C] f(x) [builtins fixtures/args.pyi] [case testOnePartOfUnionDoesNotHaveCorrespondingImplementation] from functools import singledispatch from typing import Union class A: pass class B(A): pass class C: pass @singledispatch def f(arg: Union[A, C]) -> None: pass @f.register def g(arg: B) -> None: pass @f.register def h(arg: C) -> None: pass x: Union[B, C, int] f(x) # E: Argument 1 to "f" has incompatible type "Union[B, C, int]"; expected "Union[A, C]" [builtins fixtures/args.pyi] [case testABCAllowedAsDispatchType] from functools import singledispatch from collections.abc import Mapping @singledispatch def f(arg) -> None: pass @f.register def g(arg: Mapping) -> None: pass [builtins fixtures/dict.pyi] [case testIncorrectArgumentsInSingledispatchFunctionDefinition] from functools import singledispatch @singledispatch def f() -> None: # E: Singledispatch function requires at least one argument pass @singledispatch def g(**kwargs) -> None: # E: First argument to singledispatch function must be a positional argument pass @singledispatch def h(*, x) -> None: # E: First argument to singledispatch function must be a positional argument pass @singledispatch def i(*, x=1) -> None: # E: First argument to singledispatch function must be a positional argument pass [builtins fixtures/args.pyi] [case testDispatchTypeIsNotASubtypeOfFallbackFirstArgument] from functools import singledispatch class A: pass class B(A): pass class C: pass @singledispatch def f(arg: A) -> None: pass @f.register def g(arg: B) -> None: pass @f.register def h(arg: C) -> None: # E: Dispatch type "C" must be subtype of fallback function first argument "A" pass [builtins fixtures/args.pyi] [case testMultipleSingledispatchFunctionsIntermixed] from functools import singledispatch class A: pass class B(A): pass class C: pass @singledispatch def f(arg: A) -> None: pass @singledispatch def h(arg: C) -> None: pass @f.register def g(arg: B) -> None: pass [builtins fixtures/args.pyi] [case testAnyInConstructorArgsWithClassPassedToRegister] from functools import singledispatch from typing import Any class Base: pass class ConstExpr: def __init__(self, **kwargs: Any) -> None: pass @singledispatch def f(arg: Base) -> ConstExpr: pass @f.register(ConstExpr) def g(arg: ConstExpr) -> ConstExpr: # E: Dispatch type "ConstExpr" must be subtype of fallback function first argument "Base" pass [builtins fixtures/args.pyi] [case testRegisteredImplementationUsedBeforeDefinition] from functools import singledispatch from typing import Union class Node: pass class MypyFile(Node): pass class Missing: pass @singledispatch def f(a: Union[Node, Missing]) -> None: pass @f.register def g(a: MypyFile) -> None: x: Missing f(x) @f.register def h(a: Missing) -> None: pass [builtins fixtures/args.pyi] [case testIncorrectArgumentTypeWhenCallingRegisteredImplDirectly] from functools import singledispatch @singledispatch def f(arg, arg2: str) -> bool: return False @f.register def g(arg: int, arg2: str) -> bool: pass @f.register(str) def h(arg, arg2: str) -> bool: pass g('a', 'a') # E: Argument 1 to "g" has incompatible type "str"; expected "int" g(1, 1) # E: Argument 2 to "g" has incompatible type "int"; expected "str" # don't show errors for incorrect first argument here, because there's no type annotation for the # first argument h(1, 'a') h('a', 1) # E: Argument 2 to "h" has incompatible type "int"; expected "str" [builtins fixtures/args.pyi] [case testDontCrashWhenRegisteringAfterError] import functools a = functools.singledispatch('a') # E: Need type annotation for "a" # E: Argument 1 to "singledispatch" has incompatible type "str"; expected "Callable[..., Never]" @a.register(int) def default(val) -> int: return 3 [builtins fixtures/args.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-slots.test0000644000175100017510000002764415112307767020261 0ustar00runnerrunner[case testSlotsDefinitionWithStrAndListAndTuple] class A: __slots__ = "a" def __init__(self) -> None: self.a = 1 self.b = 2 # E: Trying to assign name "b" that is not in "__slots__" of type "__main__.A" class B: __slots__ = ("a", "b") def __init__(self) -> None: self.a = 1 self.b = 2 self.c = 3 # E: Trying to assign name "c" that is not in "__slots__" of type "__main__.B" class C: __slots__ = ['c'] def __init__(self) -> None: self.a = 1 # E: Trying to assign name "a" that is not in "__slots__" of type "__main__.C" self.c = 3 class WithVariable: __fields__ = ['a', 'b'] __slots__ = __fields__ def __init__(self) -> None: self.a = 1 self.b = 2 self.c = 3 [builtins fixtures/list.pyi] [case testSlotsDefinitionWithDict] class D: __slots__ = {'key': 'docs'} def __init__(self) -> None: self.key = 1 self.missing = 2 # E: Trying to assign name "missing" that is not in "__slots__" of type "__main__.D" [builtins fixtures/dict.pyi] [case testSlotsDefinitionWithDynamicDict] slot_kwargs = {'b': 'docs'} class WithDictKwargs: __slots__ = {'a': 'docs', **slot_kwargs} def __init__(self) -> None: self.a = 1 self.b = 2 self.c = 3 [builtins fixtures/dict.pyi] [case testSlotsDefinitionWithSet] class E: __slots__ = {'e'} def __init__(self) -> None: self.e = 1 self.missing = 2 # E: Trying to assign name "missing" that is not in "__slots__" of type "__main__.E" [builtins fixtures/set.pyi] [case testSlotsDefinitionOutsideOfClass] __slots__ = ("a", "b") class A: def __init__(self) -> None: self.x = 1 self.y = 2 [builtins fixtures/tuple.pyi] [case testSlotsDefinitionWithClassVar] class A: __slots__ = ('a',) b = 4 def __init__(self) -> None: self.a = 1 # You cannot override class-level variables, but you can use them: b = self.b self.b = 2 # E: Trying to assign name "b" that is not in "__slots__" of type "__main__.A" self.c = 3 # E: Trying to assign name "c" that is not in "__slots__" of type "__main__.A" A.b = 1 [builtins fixtures/tuple.pyi] [case testSlotsDefinitionMultipleVars1] class A: __slots__ = __fields__ = ("a", "b") def __init__(self) -> None: self.x = 1 self.y = 2 [builtins fixtures/tuple.pyi] [case testSlotsDefinitionMultipleVars2] class A: __fields__ = __slots__ = ("a", "b") def __init__(self) -> None: self.x = 1 self.y = 2 [builtins fixtures/tuple.pyi] [case testSlotsAssignmentEmptySlots] class A: __slots__ = () def __init__(self) -> None: self.a = 1 self.b = 2 a = A() a.a = 1 a.b = 2 a.missing = 2 [out] main:4: error: Trying to assign name "a" that is not in "__slots__" of type "__main__.A" main:5: error: Trying to assign name "b" that is not in "__slots__" of type "__main__.A" main:8: error: Trying to assign name "a" that is not in "__slots__" of type "__main__.A" main:9: error: Trying to assign name "b" that is not in "__slots__" of type "__main__.A" main:10: error: "A" has no attribute "missing" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithSuper] class A: __slots__ = ("a",) class B(A): __slots__ = ("b", "c") def __init__(self) -> None: self.a = 1 self.b = 2 self._one = 1 b = B() b.a = 1 b.b = 2 b.c = 3 b._one = 1 b._two = 2 [out] main:9: error: Trying to assign name "_one" that is not in "__slots__" of type "__main__.B" main:14: error: "B" has no attribute "c" main:15: error: Trying to assign name "_one" that is not in "__slots__" of type "__main__.B" main:16: error: "B" has no attribute "_two" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithSuperDuplicateSlots] class A: __slots__ = ("a",) class B(A): __slots__ = ("a", "b",) def __init__(self) -> None: self.a = 1 self.b = 2 self._one = 1 # E: Trying to assign name "_one" that is not in "__slots__" of type "__main__.B" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithMixin] class A: __slots__ = ("a",) class Mixin: __slots__ = ("m",) class B(A, Mixin): __slots__ = ("b",) def __init__(self) -> None: self.a = 1 self.m = 2 self._one = 1 b = B() b.a = 1 b.m = 2 b.b = 2 b._two = 2 [out] main:5: error: Class "B" has incompatible disjoint bases main:11: error: Trying to assign name "_one" that is not in "__slots__" of type "__main__.B" main:16: error: "B" has no attribute "b" main:17: error: "B" has no attribute "_two" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithSlottedSuperButNoChildSlots] class A: __slots__ = ("a",) class B(A): def __init__(self) -> None: self.a = 1 self.b = 1 b = B() b.a = 1 b.b = 2 [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithoutSuperSlots] class A: pass # no slots class B(A): __slots__ = ("a", "b") def __init__(self) -> None: self.a = 1 self.b = 2 self.missing = 3 b = B() b.a = 1 b.b = 2 b.missing = 3 b.extra = 4 # E: "B" has no attribute "extra" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithoutSuperMixingSlots] class A: __slots__ = () class Mixin: pass # no slots class B(A, Mixin): __slots__ = ("a", "b") def __init__(self) -> None: self.a = 1 self.b = 2 self.missing = 3 b = B() b.a = 1 b.b = 2 b.missing = 3 b.extra = 4 # E: "B" has no attribute "extra" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithExplicitSetattr] class A: __slots__ = ("a",) def __init__(self) -> None: self.a = 1 self.b = 2 def __setattr__(self, k, v) -> None: ... a = A() a.a = 1 a.b = 2 a.c = 3 [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithParentSetattr] class Parent: __slots__ = () def __setattr__(self, k, v) -> None: ... class A(Parent): __slots__ = ("a",) def __init__(self) -> None: self.a = 1 self.b = 2 a = A() a.a = 1 a.b = 2 a.c = 3 [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithProps] from typing import Any custom_prop: Any class A: __slots__ = ("a",) @property def first(self) -> int: ... @first.setter def first(self, arg: int) -> None: ... class B(A): __slots__ = ("b",) def __init__(self) -> None: self.a = 1 self.b = 2 self.c = 3 @property def second(self) -> int: ... @second.setter def second(self, arg: int) -> None: ... def get_third(self) -> int: ... def set_third(self, arg: int) -> None: ... third = custom_prop(get_third, set_third) b = B() b.a = 1 b.b = 2 b.c = 3 b.first = 1 b.second = 2 b.third = 3 b.extra = 'extra' [out] main:22: error: Trying to assign name "c" that is not in "__slots__" of type "__main__.B" main:43: error: Trying to assign name "c" that is not in "__slots__" of type "__main__.B" main:47: error: "B" has no attribute "extra" [builtins fixtures/property.pyi] [case testSlotsAssignmentWithUnionProps] from typing import Any, Callable, Union custom_obj: Any class custom_property(object): def __set__(self, *args, **kwargs): ... class A: __slots__ = ("a",) def __init__(self) -> None: self.a = 1 b: custom_property c: Union[Any, custom_property] d: Union[Callable, custom_property] e: Callable a = A() a.a = 1 a.b = custom_obj a.c = custom_obj a.d = custom_obj a.e = custom_obj [out] [builtins fixtures/dict.pyi] [case testSlotsAssignmentWithMethodReassign] class A: __slots__ = () def __init__(self) -> None: self.method = lambda: None # E: Cannot assign to a method def method(self) -> None: ... a = A() a.method = lambda: None # E: Cannot assign to a method [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithExplicitDict] class A: __slots__ = ("a",) class B(A): __slots__ = ("__dict__",) def __init__(self) -> None: self.a = 1 self.b = 2 b = B() b.a = 1 b.b = 2 b.c = 3 # E: "B" has no attribute "c" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithExplicitSuperDict] class A: __slots__ = ("__dict__",) class B(A): __slots__ = ("a",) def __init__(self) -> None: self.a = 1 self.b = 2 b = B() b.a = 1 b.b = 2 b.c = 3 # E: "B" has no attribute "c" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentWithVariable] slot_name = "b" class A: __slots__ = ("a", slot_name) def __init__(self) -> None: self.a = 1 self.b = 2 self.c = 3 a = A() a.a = 1 a.b = 2 a.c = 3 a.d = 4 # E: "A" has no attribute "d" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentMultipleLeftValues] class A: __slots__ = ("a", "b") def __init__(self) -> None: self.a, self.b, self.c = (1, 2, 3) # E: Trying to assign name "c" that is not in "__slots__" of type "__main__.A" [builtins fixtures/tuple.pyi] [case testSlotsAssignmentMultipleAssignments] class A: __slots__ = ("a",) def __init__(self) -> None: self.a = self.b = self.c = 1 [out] main:4: error: Trying to assign name "b" that is not in "__slots__" of type "__main__.A" main:4: error: Trying to assign name "c" that is not in "__slots__" of type "__main__.A" [builtins fixtures/tuple.pyi] [case testSlotsWithTupleCall] class A: # TODO: for now this way of writing tuples are not recognised __slots__ = tuple(("a", "b")) def __init__(self) -> None: self.a = 1 self.b = 2 self.missing = 3 [builtins fixtures/tuple.pyi] [case testSlotsWithListCall] class A: # TODO: for now this way of writing lists are not recognised __slots__ = list(("a", "b")) def __init__(self) -> None: self.a = 1 self.b = 2 self.missing = 3 [builtins fixtures/list.pyi] [case testSlotsWithSetCall] class A: # TODO: for now this way of writing sets are not recognised __slots__ = set(("a", "b")) def __init__(self) -> None: self.a = 1 self.b = 2 self.missing = 3 [builtins fixtures/set.pyi] [case testSlotsWithDictCall] class A: # TODO: for now this way of writing dicts are not recognised __slots__ = dict((("a", "docs"), ("b", "docs"))) def __init__(self) -> None: self.a = 1 self.b = 2 self.missing = 3 [builtins fixtures/dict.pyi] [case testSlotsNotInClass] # Shouldn't be triggered __slots__ = [1, 2] reveal_type(__slots__) # N: Revealed type is "builtins.list[builtins.int]" def foo() -> None: __slots__ = 1 reveal_type(__slots__) # N: Revealed type is "builtins.int" [case testSlotsEmptyList] class A: __slots__ = [] reveal_type(__slots__) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(A.__slots__) # N: Revealed type is "builtins.list[builtins.str]" [case testSlotsEmptySet] class A: __slots__ = set() reveal_type(__slots__) # N: Revealed type is "builtins.set[builtins.str]" reveal_type(A.__slots__) # N: Revealed type is "builtins.set[builtins.str]" [builtins fixtures/set.pyi] [case testSlotsWithAny] from typing import Any some_obj: Any class A: # You can do anything with `Any`: __slots__ = some_obj def __init__(self) -> None: self.a = 1 self.b = 2 self.missing = 3 [builtins fixtures/tuple.pyi] [case testSlotsWithClassVar] from typing import ClassVar class X: __slots__ = ('a',) a: int x = X() X.a # E: "a" in __slots__ conflicts with class variable access x.a [builtins fixtures/tuple.pyi] [case testSlotsOnSelfType] from typing_extensions import Self class X: __slots__ = ("foo",) foo: int def method1(self: Self) -> Self: self.bar = 0 # E: Trying to assign name "bar" that is not in "__slots__" of type "__main__.X" return self def method2(self) -> Self: self.bar = 0 # E: Trying to assign name "bar" that is not in "__slots__" of type "__main__.X" return self [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-statements.test0000644000175100017510000017034115112307767021275 0ustar00runnerrunner-- Return statement -- ---------------- [case testReturnValue] import typing def f() -> 'A': return A() def g() -> 'B': return A() class A: pass class B: pass [out] main:5: error: Incompatible return value type (got "A", expected "B") [case testReturnSubtype] import typing def f() -> 'B': return A() def g() -> 'A': return B() class A: pass class B(A): pass [out] main:3: error: Incompatible return value type (got "A", expected "B") [case testReturnWithoutAValue] import typing def f() -> 'A': return def g() -> None: return class A: pass [out] main:3: error: Return value expected [case testReturnNoneInFunctionReturningNone] import typing def f() -> None: return None def g() -> None: return f() [out] [case testReturnInGenerator] from typing import Generator def f() -> Generator[int, None, str]: yield 1 return "foo" [out] [case testEmptyReturnInGenerator] from typing import Generator def f() -> Generator[int, None, str]: yield 1 return # E: Return value expected [out] [case testNoReturnInGenerator] from typing import Generator def f() -> Generator[int, None, str]: # E: Missing return statement yield 1 [out] [case testEmptyReturnInNoneTypedGenerator] from typing import Generator def f() -> Generator[int, None, None]: yield 1 return [out] [case testNonEmptyReturnInNoneTypedGenerator] from typing import Generator def f() -> Generator[int, None, None]: yield 1 return 42 # E: No return value expected [out] [case testReturnInIterator] from typing import Iterator def f() -> Iterator[int]: yield 1 return "foo" # E: No return value expected [out] -- If statement -- ------------ [case testIfStatement] a: A a2: A a3: A b: bool if a: a = b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") elif a2: a = b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") elif a3: a = b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") else: a = b # E: Incompatible types in assignment (expression has type "bool", variable has type "A") if b: pass elif b: pass if b: pass class A: pass [builtins fixtures/bool.pyi] -- Loops -- ----- [case testWhileStatement] a: A b: bool while a: a = b # Fail else: a = b # Fail while b: b = b class A: pass [builtins fixtures/bool.pyi] [out] main:5: error: Incompatible types in assignment (expression has type "bool", variable has type "A") main:7: error: Incompatible types in assignment (expression has type "bool", variable has type "A") [case testForStatement] class A: pass a: A b: object for a in [A()]: a = b # E: Incompatible types in assignment (expression has type "object", variable has type "A") else: a = b # E: Incompatible types in assignment (expression has type "object", variable has type "A") [builtins fixtures/list.pyi] [case testBreakStatement] import typing while None: break [builtins fixtures/bool.pyi] [out] [case testContinueStatement] import typing while None: continue [builtins fixtures/bool.pyi] [out] [case testForStatementTypeComments] from typing import List, Union x = [] # type: List[int] for y in x: # type: str # E: Incompatible types in assignment (expression has type "int", variable has type "str") pass for z in x: # type: int pass for w in x: # type: Union[int, str] reveal_type(w) # N: Revealed type is "Union[builtins.int, builtins.str]" for v in x: # type: int, int # E: Syntax error in type annotation # N: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) pass [builtins fixtures/list.pyi] [case testForStatementMultipleTypeComments] from typing import List, Tuple x = [] # type: List[Tuple[int, int]] for y in x: # type: int, int # E: Syntax error in type annotation # N: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) pass for z in x: # type: Tuple[int, int] pass for w,v in x: # type: int, str # E: Incompatible types in assignment (expression has type "int", variable has type "str") pass for a, b in x: # type: int, int, int # E: Incompatible number of tuple items pass [builtins fixtures/list.pyi] -- Operator assignment -- ------------------- [case testPlusAssign] a: A b: B c: C a += b # Fail b += a # Fail c += a # Fail a += c class A: def __add__(self, x: 'C') -> 'A': pass class B: def __add__(self, x: A) -> 'C': pass class C: pass [builtins fixtures/tuple.pyi] [out] main:4: error: Unsupported operand types for + ("A" and "B") main:5: error: Incompatible types in assignment (expression has type "C", variable has type "B") main:6: error: Unsupported left operand type for + ("C") [case testMinusAssign] a: A b: B c: C a -= b # Fail b -= a # Fail c -= a # Fail a -= c class A: def __sub__(self, x: 'C') -> 'A': pass class B: def __sub__(self, x: A) -> 'C': pass class C: pass [builtins fixtures/tuple.pyi] [out] main:4: error: Unsupported operand types for - ("A" and "B") main:5: error: Incompatible types in assignment (expression has type "C", variable has type "B") main:6: error: Unsupported left operand type for - ("C") [case testMulAssign] a: A c: C a *= a # Fail c *= a # Fail a *= c class A: def __mul__(self, x: 'C') -> 'A': pass class C: pass [builtins fixtures/tuple.pyi] [out] main:3: error: Unsupported operand types for * ("A" and "A") main:4: error: Unsupported left operand type for * ("C") [case testMatMulAssign] a: A c: C a @= a # E: Unsupported operand types for @ ("A" and "A") c @= a # E: Unsupported left operand type for @ ("C") a @= c class A: def __matmul__(self, x: 'C') -> 'A': pass class C: pass [builtins fixtures/tuple.pyi] [case testDivAssign] a: A c: C a /= a # Fail c /= a # Fail a /= c class A: def __truediv__(self, x: 'C') -> 'A': pass class C: pass [builtins fixtures/tuple.pyi] [out] main:3: error: Unsupported operand types for / ("A" and "A") main:4: error: Unsupported left operand type for / ("C") [case testPowAssign] a: A c: C a **= a # Fail c **= a # Fail a **= c class A: def __pow__(self, x: 'C') -> 'A': pass class C: pass [builtins fixtures/tuple.pyi] [out] main:3: error: Unsupported operand types for ** ("A" and "A") main:4: error: Unsupported left operand type for ** ("C") [case testSubtypesInOperatorAssignment] a: A b: B b += b b += a a += b class A: def __add__(self, x: 'A') -> 'B': pass class B(A): pass [builtins fixtures/tuple.pyi] [out] [case testAdditionalOperatorsInOpAssign] a: A c: C a &= a # Fail a >>= a # Fail a //= a # Fail a &= c a >>= c a //= c class A: def __and__(self, x: 'C') -> 'A': pass def __rshift__(self, x: 'C') -> 'A': pass def __floordiv__(self, x: 'C') -> 'A': pass class C: pass [builtins fixtures/tuple.pyi] [out] main:3: error: Unsupported operand types for & ("A" and "A") main:4: error: Unsupported operand types for >> ("A" and "A") main:5: error: Unsupported operand types for // ("A" and "A") [case testInplaceOperatorMethods] import typing class A: def __iadd__(self, x: int) -> 'A': pass def __imul__(self, x: str) -> 'A': pass def __imatmul__(self, x: str) -> 'A': pass a = A() a += 1 a *= '' a @= '' a += '' # E: Argument 1 to "__iadd__" of "A" has incompatible type "str"; expected "int" a *= 1 # E: Argument 1 to "__imul__" of "A" has incompatible type "int"; expected "str" a @= 1 # E: Argument 1 to "__imatmul__" of "A" has incompatible type "int"; expected "str" [case testInplaceSetitem] class A(object): def __init__(self) -> None: self.a = [1] def __iadd__(self, a): # type: (int) -> A self.a += [2] return self a = A() b = [a] b[0] += 1 [builtins fixtures/list.pyi] [out] -- Assert statement -- ---------------- [case testAssert] import typing assert None + None # Fail assert None [out] main:2: error: Unsupported left operand type for + ("None") -- Exception handling -- ------------------ [case testRaiseStatement] e: BaseException f: MyError a: A raise a # Fail raise e raise f class A: pass class MyError(BaseException): pass [builtins fixtures/exception.pyi] [out] main:5: error: Exception must be derived from BaseException [case testRaiseClassObject] class A: pass class MyError(BaseException): pass def f(): pass if object(): raise BaseException if object(): raise MyError if object(): raise A # E: Exception must be derived from BaseException if object(): raise object # E: Exception must be derived from BaseException if object(): raise f # E: Exception must be derived from BaseException [builtins fixtures/exception.pyi] [case testRaiseClassObjectCustomInit] class MyBaseError(BaseException): def __init__(self, required) -> None: ... class MyError(Exception): def __init__(self, required1, required2) -> None: ... class MyKwError(Exception): def __init__(self, *, kwonly) -> None: ... class MyErrorWithDefault(Exception): def __init__(self, optional=1) -> None: ... if object(): raise BaseException if object(): raise Exception if object(): raise BaseException(1) if object(): raise Exception(2) if object(): raise MyBaseError(4) if object(): raise MyError(5, 6) if object(): raise MyKwError(kwonly=7) if object(): raise MyErrorWithDefault(8) if object(): raise MyErrorWithDefault if object(): raise MyBaseError # E: Too few arguments for "MyBaseError" if object(): raise MyError # E: Too few arguments for "MyError" if object(): raise MyKwError # E: Missing named argument "kwonly" for "MyKwError" [builtins fixtures/exception.pyi] [case testRaiseExceptionType] import typing x: typing.Type[BaseException] raise x [builtins fixtures/exception.pyi] [case testRaiseNonExceptionTypeFails] import typing x = int # type: typing.Type[int] raise x # E: Exception must be derived from BaseException [builtins fixtures/exception.pyi] [case testRaiseUnion] import typing x: typing.Union[BaseException, typing.Type[BaseException]] raise x [builtins fixtures/exception.pyi] [case testRaiseNonExceptionUnionFails] import typing x: typing.Union[BaseException, int] raise x # E: Exception must be derived from BaseException [builtins fixtures/exception.pyi] [case testRaiseFromStatement] e: BaseException f: MyError a: A x: BaseException del x if object(): raise e from a # E: Exception must be derived from BaseException if object(): raise e from e if object(): raise e from f if object(): raise e from x # E: Trying to read deleted variable "x" class A: pass class MyError(BaseException): pass [builtins fixtures/exception.pyi] [case testRaiseFromClassobject] import typing class A: pass class MyError(BaseException): pass def f(): pass if object(): raise BaseException from BaseException if object(): raise BaseException from MyError if object(): raise BaseException from A # E: Exception must be derived from BaseException if object(): raise BaseException from object # E: Exception must be derived from BaseException if object(): raise BaseException from f # E: Exception must be derived from BaseException [builtins fixtures/exception.pyi] [case testRaiseNotImplementedFails] if object(): raise NotImplemented # E: Exception must be derived from BaseException; did you mean "NotImplementedError"? if object(): raise NotImplemented() # E: Exception must be derived from BaseException; did you mean "NotImplementedError"? [builtins fixtures/notimplemented.pyi] [case testTryFinallyStatement] import typing try: b = object() # type: A # Fail finally: c = object() # type: A # Fail class A: pass [out] main:3: error: Incompatible types in assignment (expression has type "object", variable has type "A") main:5: error: Incompatible types in assignment (expression has type "object", variable has type "A") [case testSimpleTryExcept] try: pass except BaseException as e: a: BaseException o: object e = a e = o # Fail class A: pass class B: pass [builtins fixtures/exception.pyi] [out] main:8: error: Incompatible types in assignment (expression has type "object", variable has type "BaseException") [case testTypeErrorInBlock] class A: pass class B: pass while int(): x: A if int(): x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [case testTypeErrorInvolvingBaseException] class A: pass x: BaseException a: A if int(): a = BaseException() # E: Incompatible types in assignment (expression has type "BaseException", variable has type "A") if int(): a = object() # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): x = object() # E: Incompatible types in assignment (expression has type "object", variable has type "BaseException") if int(): x = A() # E: Incompatible types in assignment (expression has type "A", variable has type "BaseException") if int(): x = BaseException() [builtins fixtures/exception.pyi] [case testSimpleTryExcept2] import typing try: pass except BaseException as e: e = object() # Fail e = BaseException() [builtins fixtures/exception.pyi] [out] main:5: error: Incompatible types in assignment (expression has type "object", variable has type "BaseException") [case testBaseClassAsExceptionTypeInExcept] import typing class Err(BaseException): pass try: pass except Err as e: e = BaseException() # E: Incompatible types in assignment (expression has type "BaseException", variable has type "Err") e = Err() [builtins fixtures/exception.pyi] [case testMultipleExceptHandlers] import typing class Err(BaseException): pass try: pass except BaseException as e: pass except Err as f: f = BaseException() # E: Incompatible types in assignment (expression has type "BaseException", variable has type "Err") f = Err() [builtins fixtures/exception.pyi] [case testTryExceptStatement] import typing class A: pass class B: pass class Err(BaseException): pass try: a = B() # type: A # E: Incompatible types in assignment (expression has type "B", variable has type "A") except BaseException as e: e = A() # E: Incompatible types in assignment (expression has type "A", variable has type "BaseException") e = Err() except Err as f: f = BaseException() # E: Incompatible types in assignment (expression has type "BaseException", variable has type "Err") f = Err() [builtins fixtures/exception.pyi] [case testTryExceptWithinFunction] import typing def f() -> None: try: pass except BaseException as e: e = object() # Fail e = BaseException() except Err as f: f = BaseException() # Fail f = Err() class Err(BaseException): pass [builtins fixtures/exception.pyi] [out] main:5: error: Incompatible types in assignment (expression has type "object", variable has type "BaseException") main:8: error: Incompatible types in assignment (expression has type "BaseException", variable has type "Err") [case testTryExceptFlow] def f() -> None: x = 1 try: pass except: raise x + 'a' # E: Unsupported left operand type for + ("int") [builtins fixtures/exception.pyi] [out] [case testTryWithElse] import typing try: pass except BaseException: pass else: object(None) # E: Too many arguments for "object" [builtins fixtures/exception.pyi] [case testRedefinedFunctionInTryWithElse] def f() -> None: pass try: pass except BaseException: f2 = f else: def f2() -> str: pass try: pass except BaseException: f3 = f else: def f3() -> None: pass [builtins fixtures/exception.pyi] [out] main:7: error: Incompatible redefinition (redefinition with type "Callable[[], str]", original type "Callable[[], None]") [case testExceptWithoutType] import typing try: -None # E: Unsupported operand type for unary - ("None") except: ~None # E: Unsupported operand type for ~ ("None") [builtins fixtures/exception.pyi] [case testRaiseWithoutArgument] import typing try: None except: raise [builtins fixtures/exception.pyi] [case testExceptWithMultipleTypes] import typing class E1(BaseException): pass class E2(E1): pass try: pass except (E1, E2): pass except (E1, object): pass # E: Exception type must be derived from BaseException (or be a tuple of exception classes) except (object, E2): pass # E: Exception type must be derived from BaseException (or be a tuple of exception classes) except (E1, (E2,)): pass # E: Exception type must be derived from BaseException (or be a tuple of exception classes) except (E1, E2): pass except ((E1, E2)): pass except (((E1, E2))): pass [builtins fixtures/exception.pyi] [case testExceptWithTypeType] import typing E = BaseException # type: typing.Type[BaseException] try: pass except E: pass [builtins fixtures/exception.pyi] [case testExceptWithMultipleTypes2] import typing class E1(BaseException): pass class E2(E1): pass try: pass except (E1, E2) as e1: x = e1 # type: E1 y = e1 # type: E2 # E: Incompatible types in assignment (expression has type "E1", variable has type "E2") except (E2, E1) as e2: a = e2 # type: E1 b = e2 # type: E2 # E: Incompatible types in assignment (expression has type "E1", variable has type "E2") except (E1, E2, int) as e3: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass [builtins fixtures/exception.pyi] [case testExceptWithMultipleTypes3] import typing class E1(BaseException): pass class E1_1(E1): pass class E1_2(E1): pass try: pass except (E1, E1_1, E1_2) as e1: x = e1 # type: E1 y = e1 # type: E1_1 # E: Incompatible types in assignment (expression has type "E1", variable has type "E1_1") z = e1 # type: E1_2 # E: Incompatible types in assignment (expression has type "E1", variable has type "E1_2") except (E1_1, E1_2) as e2: a = e2 # type: E1 b = e2 # type: E1_1 # E: Incompatible types in assignment (expression has type "Union[E1_1, E1_2]", variable has type "E1_1") c = e2 # type: E1_2 # E: Incompatible types in assignment (expression has type "Union[E1_1, E1_2]", variable has type "E1_2") [builtins fixtures/exception.pyi] [case testExceptWithMultipleTypes4] from typing import Tuple, Type, Union class E1(BaseException): pass class E2(BaseException): pass class E3(BaseException): pass def variadic(exc: Tuple[Type[E1], ...]) -> None: try: pass except exc as e: reveal_type(e) # N: Revealed type is "__main__.E1" def union(exc: Union[Type[E1], Type[E2]]) -> None: try: pass except exc as e: reveal_type(e) # N: Revealed type is "Union[__main__.E1, __main__.E2]" def tuple_in_union(exc: Union[Type[E1], Tuple[Type[E2], Type[E3]]]) -> None: try: pass except exc as e: reveal_type(e) # N: Revealed type is "Union[__main__.E1, __main__.E2, __main__.E3]" def variadic_in_union(exc: Union[Type[E1], Tuple[Type[E2], ...]]) -> None: try: pass except exc as e: reveal_type(e) # N: Revealed type is "Union[__main__.E1, __main__.E2]" def nested_union(exc: Union[Type[E1], Union[Type[E2], Type[E3]]]) -> None: try: pass except exc as e: reveal_type(e) # N: Revealed type is "Union[__main__.E1, __main__.E2, __main__.E3]" def error_in_union(exc: Union[Type[E1], int]) -> None: try: pass except exc as e: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass def error_in_variadic(exc: Tuple[int, ...]) -> None: try: pass except exc as e: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass [builtins fixtures/tuple.pyi] [case testExceptWithAnyTypes] from typing import Any E1 = None # type: Any class E2(BaseException): pass class NotBaseDerived: pass try: pass except BaseException as e1: reveal_type(e1) # N: Revealed type is "builtins.BaseException" except (E1, BaseException) as e2: reveal_type(e2) # N: Revealed type is "Union[Any, builtins.BaseException]" except (E1, E2) as e3: reveal_type(e3) # N: Revealed type is "Union[Any, __main__.E2]" except (E1, E2, BaseException) as e4: reveal_type(e4) # N: Revealed type is "Union[Any, builtins.BaseException]" try: pass except E1 as e1: reveal_type(e1) # N: Revealed type is "Any" except E2 as e2: reveal_type(e2) # N: Revealed type is "__main__.E2" except NotBaseDerived as e3: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass except (NotBaseDerived, E1) as e4: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass except (NotBaseDerived, E2) as e5: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass except (NotBaseDerived, E1, E2) as e6: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass except (E1, E2, NotBaseDerived) as e6: # E: Exception type must be derived from BaseException (or be a tuple of exception classes) pass [builtins fixtures/exception.pyi] [case testReuseTryExceptionVariable] import typing class E1(BaseException): pass class E2(BaseException): pass try: pass except E1 as e: pass try: pass except E1 as e: pass try: pass except E2 as e: pass e + 1 # E: Trying to read deleted variable "e" # E: Name "e" is used before definition e = E1() # E: Assignment to variable "e" outside except: block [builtins fixtures/exception.pyi] [case testReuseDefinedTryExceptionVariable] import typing class E1(BaseException): pass class E2(BaseException): pass e = 1 def f(): e # Prevent redefinition e = 1 try: pass except E1 as e: pass e = 1 # E: Assignment to variable "e" outside except: block e = E1() # E: Assignment to variable "e" outside except: block [builtins fixtures/exception.pyi] [case testExceptionVariableReuseInDeferredNode1] def f(*a: BaseException) -> int: x try: pass except BaseException as err: pass try: pass except BaseException as err: f(err) return 0 x = f() [builtins fixtures/exception.pyi] [case testExceptionVariableReuseInDeferredNode2] def f(*a: BaseException) -> int: try: pass except BaseException as err: pass x try: pass except BaseException as err: f(err) return 0 x = f() [builtins fixtures/exception.pyi] [case testExceptionVariableReuseInDeferredNode3] def f(*a: BaseException) -> int: try: pass except BaseException as err: pass try: pass except BaseException as err: f(err) x return 0 x = f() [builtins fixtures/exception.pyi] [case testExceptionVariableReuseInDeferredNode4] class EA(BaseException): a = None # type: int class EB(BaseException): b = None # type: str def f(*arg: BaseException) -> int: x try: pass except EA as err: f(err) a = err.a reveal_type(a) try: pass except EB as err: f(err) b = err.b reveal_type(b) return 0 x = f() [builtins fixtures/exception.pyi] [out] main:11: note: Revealed type is "builtins.int" main:16: note: Revealed type is "builtins.str" [case testExceptionVariableReuseInDeferredNode5] class EA(BaseException): a = None # type: int class EB(BaseException): b = None # type: str def f(*arg: BaseException) -> int: try: pass except EA as err: f(err) a = err.a reveal_type(a) x try: pass except EB as err: f(err) b = err.b reveal_type(b) return 0 x = f() [builtins fixtures/exception.pyi] [out] main:10: note: Revealed type is "builtins.int" main:16: note: Revealed type is "builtins.str" [case testExceptionVariableReuseInDeferredNode6] class EA(BaseException): a = None # type: int class EB(BaseException): b = None # type: str def f(*arg: BaseException) -> int: try: pass except EA as err: f(err) a = err.a reveal_type(a) try: pass except EB as err: f(err) b = err.b reveal_type(b) x return 0 x = f() [builtins fixtures/exception.pyi] [out] main:10: note: Revealed type is "builtins.int" main:15: note: Revealed type is "builtins.str" [case testExceptionVariableWithDisallowAnyExprInDeferredNode] # flags: --disallow-any-expr def f() -> int: x try: pass except Exception as ex: pass return 0 x = f() [builtins fixtures/exception.pyi] [case testArbitraryExpressionAsExceptionType] import typing a = BaseException try: pass except a as b: b = BaseException() b = object() # E: Incompatible types in assignment (expression has type "object", variable has type "BaseException") [builtins fixtures/exception.pyi] [case testInvalidExceptionCallable] import typing def exc() -> BaseException: pass try: pass except exc as e: pass # E: Exception type must be derived from BaseException (or be a tuple of exception classes) except BaseException() as b: pass # E: Exception type must be derived from BaseException (or be a tuple of exception classes) [builtins fixtures/exception.pyi] [case testTupleValueAsExceptionType] import typing def exc() -> BaseException: pass class E1(BaseException): pass class E1_1(E1): pass class E1_2(E1): pass exs1 = (E1, E1_1, E1_2) try: pass except exs1 as e1: x = e1 # type: E1 y = e1 # type: E1_1 # E: Incompatible types in assignment (expression has type "E1", variable has type "E1_1") z = e1 # type: E1_2 # E: Incompatible types in assignment (expression has type "E1", variable has type "E1_2") exs2 = (E1_1, E1_2) try: pass except exs2 as e2: a = e2 # type: E1 b = e2 # type: E1_1 # E: Incompatible types in assignment (expression has type "Union[E1_1, E1_2]", variable has type "E1_1") c = e2 # type: E1_2 # E: Incompatible types in assignment (expression has type "Union[E1_1, E1_2]", variable has type "E1_2") exs3 = (E1, (E1_1, (E1_2,))) try: pass except exs3 as e3: pass # E: Exception type must be derived from BaseException (or be a tuple of exception classes) [builtins fixtures/exception.pyi] [case testInvalidTupleValueAsExceptionType] import typing def exc() -> BaseException: pass class E1(BaseException): pass class E2(E1): pass exs1 = (E1, E2, int) try: pass except exs1 as e: pass # E: Exception type must be derived from BaseException (or be a tuple of exception classes) [builtins fixtures/exception.pyi] [case testOverloadedExceptionType] from foo import * [file foo.pyi] from typing import overload class E(BaseException): @overload def __init__(self) -> None: pass @overload def __init__(self, x) -> None: pass try: pass except E as e: e = E() e = BaseException() # E: Incompatible types in assignment (expression has type "BaseException", variable has type "E") [builtins fixtures/exception.pyi] [case testExceptionWithAnyBaseClass] from typing import Any E = None # type: Any class EE(E): pass raise EE() raise EE [builtins fixtures/exception.pyi] [case testExceptionIsType] from typing import Type class B(BaseException): pass def f(e: Type[B]): try: pass except e: pass def g(e: Type[BaseException]): try: pass except e as err: reveal_type(err) def h(e: Type[int]): try: pass except e: pass [builtins fixtures/exception.pyi] [out] main:9: note: Revealed type is "builtins.BaseException" main:12: error: Exception type must be derived from BaseException (or be a tuple of exception classes) -- Del statement -- ------------- [case testDelStmtWithIndex] a: A b: B del b[a] del b[b] # E: Argument 1 to "__delitem__" of "B" has incompatible type "B"; expected "A" del a[a] # E: "A" has no attribute "__delitem__" del a[b] # E: "A" has no attribute "__delitem__" class B: def __delitem__(self, index: 'A'): pass class A: pass [builtins fixtures/tuple.pyi] [case testDelStmtWithAttribute] class A: def f(self): pass x = 0 a = A() del a.f del a.x del a.z # E: "A" has no attribute "z" [case testDelStatementWithTuple] class A: x = 0 a = A() del a.x, a.y # E: "A" has no attribute "y" [builtins fixtures/tuple.pyi] [case testDelStmtWithTypeInfo] class Foo: ... del Foo Foo + 1 # E: Trying to read deleted variable "Foo" [case testDelStatementWithAssignmentSimple] a = 1 a + 1 del a a + 1 # E: Trying to read deleted variable "a" [builtins fixtures/ops.pyi] [case testDelStatementWithAssignmentTuple] a = 1 b = 1 del (a, b) b + 1 # E: Trying to read deleted variable "b" [builtins fixtures/ops.pyi] [case testDelStatementWithAssignmentList] a = 1 b = 1 del [a, b] b + 1 # E: Trying to read deleted variable "b" [builtins fixtures/list.pyi] [case testDelStatementWithAssignmentClass] class C: a = 1 c = C() c.a = 1 c.a + 1 del c.a c.a + 1 [builtins fixtures/ops.pyi] [case testDelStatementWithConditions] x = 5 del x if x: ... # E: Trying to read deleted variable "x" def f(x): return x if 0: ... elif f(x): ... # E: Trying to read deleted variable "x" while x == 5: ... # E: Trying to read deleted variable "x" -- Yield statement -- --------------- [case testSimpleYield] from typing import Iterator def f() -> Iterator[int]: yield 1 yield '' # E: Incompatible types in "yield" (actual type "str", expected type "int") [builtins fixtures/for.pyi] [out] [case testYieldInFunctionReturningGenerator] from typing import Generator def f() -> Generator[int, None, None]: yield 1 [builtins fixtures/for.pyi] [out] [case testYieldInFunctionReturningIterable] from typing import Iterable def f() -> Iterable[int]: yield 1 [builtins fixtures/for.pyi] [out] [case testYieldInFunctionReturningObject] def f() -> object: yield 1 [builtins fixtures/for.pyi] [out] [case testYieldInFunctionReturningAny] from typing import Any def f() -> Any: yield object() [out] [case testYieldInFunctionReturningFunction] from typing import Callable def f() -> Callable[[], None]: # E: The return type of a generator function should be "Generator" or one of its supertypes yield object() [out] [case testYieldInDynamicallyTypedFunction] import typing def f(): yield f [case testWithInvalidInstanceReturnType] import typing def f() -> int: # E: The return type of a generator function should be "Generator" or one of its supertypes yield 1 [builtins fixtures/for.pyi] [out] [case testTypeInferenceContextAndYield] from typing import List, Iterator def f() -> 'Iterator[List[int]]': yield [] yield [object()] # E: List item 0 has incompatible type "object"; expected "int" [builtins fixtures/for.pyi] [out] [case testYieldAndReturnWithoutValue] from typing import Iterator def f() -> Iterator[int]: yield 1 return [builtins fixtures/for.pyi] [case testYieldWithNoValue] from typing import Iterator def f() -> Iterator[None]: yield [builtins fixtures/for.pyi] [case testYieldWithNoValueWhenValueRequired] from typing import Iterator def f() -> Iterator[int]: yield # E: Yield value expected [builtins fixtures/for.pyi] [out] [case testYieldWithExplicitNone] from typing import Iterator def f() -> Iterator[None]: yield None [builtins fixtures/for.pyi] [out] -- Yield from statement -- -------------------- -- -- (It's not really a statement, but don't want to move the tests.) [case testSimpleYieldFromWithIterator] from typing import Iterator def g() -> Iterator[str]: yield '42' def h() -> Iterator[int]: yield 42 def f() -> Iterator[str]: yield from g() yield from h() # E: Incompatible types in "yield from" (actual type "int", expected type "str") [out] [case testYieldFromAppliedToAny] from typing import Any def g() -> Any: yield object() def f() -> Any: yield from g() [out] [case testYieldFromInFunctionReturningFunction] from typing import Iterator, Callable def g() -> Iterator[int]: yield 42 def f() -> Callable[[], None]: # E: The return type of a generator function should be "Generator" or one of its supertypes yield from g() [out] [case testYieldFromNotIterableReturnType] from typing import Iterator def g() -> Iterator[int]: yield 42 def f() -> int: # E: The return type of a generator function should be "Generator" or one of its supertypes yield from g() [out] [case testYieldFromNotAppliedIterator] from typing import Iterator def g() -> int: return 42 def f() -> Iterator[int]: yield from g() # E: "yield from" can't be applied to "int" [out] [case testYieldFromCheckIncompatibleTypesTwoIterables] from typing import List, Iterator def g() -> Iterator[List[int]]: yield [2, 3, 4] def f() -> Iterator[List[int]]: yield from g() yield from [1, 2, 3] # E: Incompatible types in "yield from" (actual type "int", expected type "list[int]") [builtins fixtures/for.pyi] [out] [case testYieldFromNotAppliedToNothing] def h(): yield from # E: Invalid syntax [out] [case testYieldFromAndYieldTogether] from typing import Iterator def f() -> Iterator[str]: yield "g1 ham" yield from g() yield "g1 eggs" def g() -> Iterator[str]: yield "g2 spam" yield "g2 more spam" [out] [case testYieldFromAny] from typing import Iterator def f(a): b = yield from a return b [out] [case testYieldFromGenericCall] from typing import Generator, TypeVar T = TypeVar('T') def f(a: T) -> Generator[int, str, T]: pass def g() -> Generator[int, str, float]: r = yield from f('') reveal_type(r) # N: Revealed type is "builtins.str" return 3.14 [case testYieldFromTupleStatement] from typing import Generator def g() -> Generator[int, None, None]: yield from () yield from (0, 1, 2) yield from (0, "ERROR") # E: Incompatible types in "yield from" (actual type "Union[int, str]", expected type "int") yield from ("ERROR",) # E: Incompatible types in "yield from" (actual type "str", expected type "int") [builtins fixtures/tuple.pyi] -- With statement -- -------------- [case testSimpleWith] import typing class A: def __enter__(self) -> None: pass def __exit__(self, x, y, z) -> None: pass with A(): object(A) # E: Too many arguments for "object" [case testWithStmtAndInvalidExit] import typing class A: def __enter__(self) -> None: pass def __exit__(self, x, y) -> None: pass with A(): # E: Too many arguments for "__exit__" of "A" pass [case testWithStmtAndMissingExit] import typing class A: def __enter__(self) -> None: pass with A(): # E: "A" has no attribute "__exit__" pass [case testWithStmtAndInvalidEnter] import typing class A: def __enter__(self, x) -> None: pass def __exit__(self, x, y, z) -> None: pass with A(): # E: Too few arguments for "__enter__" of "A" pass [case testWithStmtAndMissingEnter] import typing class A: def __exit__(self, x, y, z) -> None: pass with A(): # E: "A" has no attribute "__enter__" pass [case testWithStmtAndMultipleExprs] import typing class A: def __enter__(self) -> None: pass def __exit__(self, x, y, z) -> None: pass class B: def __enter__(self) -> None: pass with A(), B(): # E: "B" has no attribute "__exit__" pass with B(), A(): # E: "B" has no attribute "__exit__" pass [case testWithStmtAndResult] import typing class B: pass class A: def __enter__(self) -> B: pass def __exit__(self, x, y, z): pass with A() as b: b = B() b = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") [case testWithStmtAndMultipleResults] from typing import TypeVar, Generic t = TypeVar('t') class B: pass class C: pass class A(Generic[t]): def __enter__(self) -> t: pass def __exit__(self, x, y, z): pass a_b = A() # type: A[B] a_c = A() # type: A[C] with a_b as b, a_c as c: b = B() c = C() b = c # E: Incompatible types in assignment (expression has type "C", variable has type "B") c = b # E: Incompatible types in assignment (expression has type "B", variable has type "C") [case testWithStmtAndComplexTarget] from typing import Tuple class A: def __enter__(self) -> Tuple[int, str]: pass def __exit__(self, x, y, z): pass with A() as (a, b): a = 1 b = '' a = b # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/tuple.pyi] [case testWithStmtTypeComment] from typing import Union class A: def __enter__(self) -> int: pass def __exit__(self, x, y, z): pass with A(): # type: int # E: Invalid type comment: "with" statement has no targets pass with A() as a: # type: int pass with A() as b: # type: str # E: Incompatible types in assignment (expression has type "int", variable has type "str") pass with A() as c: # type: int, int # E: Syntax error in type annotation # N: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) pass with A() as d: # type: Union[int, str] reveal_type(d) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testWithStmtTupleTypeComment] from typing import Tuple class A: def __enter__(self) -> Tuple[int, int]: pass def __exit__(self, x, y, z): pass with A(): pass with A() as a: # type: Tuple[int, int] pass with A() as b: # type: Tuple[int, str] # E: Incompatible types in assignment (expression has type "tuple[int, int]", variable has type "tuple[int, str]") pass with A() as (c, d): # type: int, int pass with A() as (e, f): # type: Tuple[int, int] pass with A() as (g, h): # type: int # E: Tuple type expected for multiple variables pass with A() as (i, j): # type: int, int, str # E: Incompatible number of tuple items pass with A() as (k, l): # type: int, str # E: Incompatible types in assignment (expression has type "int", variable has type "str") pass [builtins fixtures/tuple.pyi] [case testWithStmtComplexTypeComment] from typing import Tuple class A: def __enter__(self) -> Tuple[int, int]: pass def __exit__(self, x, y, z): pass class B: def __enter__(self) -> str: pass def __exit__(self, x, y, z): pass with A() as a, A() as (b, c), B() as d: # type: Tuple[int, int], (int, int), str pass with A() as e, A() as (f, g), B() as h: # type: Tuple[int, int], Tuple[int, int], str pass with A() as i, A() as (j, k), B() as l: # type: (int, int), (int, int), str # E: Syntax error in type annotation # N: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) pass with A(), A(), B() as m, A() as n, B(), B() as o: # type: int, Tuple[int, int] # E: Incompatible number of types for "with" targets pass with A(), B(), B() as p, A(), A(): # type: str pass [builtins fixtures/tuple.pyi] [case testWithStmtBoolExitReturnWithResultFalse] from typing import Optional class InvalidReturn1: def __exit__(self, x, y, z) -> bool: # E: "bool" is invalid as return type for "__exit__" that always returns False \ # N: Use "typing.Literal[False]" as the return type or change it to "None" \ # N: If return type of "__exit__" implies that it may return True, the context manager may swallow exceptions return False class InvalidReturn2: def __exit__(self, x, y, z) -> Optional[bool]: # E: "bool" is invalid as return type for "__exit__" that always returns False \ # N: Use "typing.Literal[False]" as the return type or change it to "None" \ # N: If return type of "__exit__" implies that it may return True, the context manager may swallow exceptions if int(): return False else: return False class InvalidReturn3: def __exit__(self, x, y, z) -> bool: # E: "bool" is invalid as return type for "__exit__" that always returns False \ # N: Use "typing.Literal[False]" as the return type or change it to "None" \ # N: If return type of "__exit__" implies that it may return True, the context manager may swallow exceptions def nested() -> bool: return True return False [builtins fixtures/bool.pyi] [case testWithStmtBoolExitReturnOkay] from typing import Literal class GoodReturn1: def __exit__(self, x, y, z) -> bool: if int(): return True else: return False class GoodReturn2: def __exit__(self, x, y, z) -> bool: if int(): return False else: return True class GoodReturn3: def __exit__(self, x, y, z) -> bool: return bool() class GoodReturn4: def __exit__(self, x, y, z) -> None: return class GoodReturn5: def __exit__(self, x, y, z) -> None: return None class GoodReturn6: def exit(self, x, y, z) -> bool: return False class GoodReturn7: def exit(self, x, y, z) -> bool: pass class MissingReturn: def exit(self, x, y, z) -> bool: # E: Missing return statement x = 0 class LiteralReturn: def __exit__(self, x, y, z) -> Literal[False]: return False [builtins fixtures/bool.pyi] [case testWithStmtBoolExitReturnInStub] import stub [file stub.pyi] from typing import Optional class C1: def __exit__(self, x, y, z) -> bool: ... class C2: def __exit__(self, x, y, z) -> bool: pass class C3: def __exit__(self, x, y, z) -> Optional[bool]: pass [builtins fixtures/bool.pyi] [case testWithStmtScopeBasics] from m import A, B def f1() -> None: with A() as x: reveal_type(x) # N: Revealed type is "m.A" with B() as x: reveal_type(x) # N: Revealed type is "m.B" def f2() -> None: with A() as x: reveal_type(x) # N: Revealed type is "m.A" y = x # Use outside with makes the scope function-level with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") reveal_type(x) # N: Revealed type is "m.A" [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeAndFuncDef] from m import A, B with A() as x: reveal_type(x) # N: Revealed type is "m.A" def f() -> None: pass # Don't support function definition in the middle with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") reveal_type(x) # N: Revealed type is "m.A" [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeAndFuncDef2] from m import A, B def f() -> None: pass # function before with is unsupported with A() as x: reveal_type(x) # N: Revealed type is "m.A" with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") reveal_type(x) # N: Revealed type is "m.A" [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeAndFuncDef3] from m import A, B with A() as x: reveal_type(x) # N: Revealed type is "m.A" with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") reveal_type(x) # N: Revealed type is "m.A" def f() -> None: pass # function after with is unsupported [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeAndFuncDef4] from m import A, B with A() as x: def f() -> None: pass # Function within with is unsupported reveal_type(x) # N: Revealed type is "m.A" with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") reveal_type(x) # N: Revealed type is "m.A" [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeAndImport1] from m import A, B, x with A() as x: \ # E: Incompatible types in assignment (expression has type "A", variable has type "B") reveal_type(x) # N: Revealed type is "m.B" with B() as x: reveal_type(x) # N: Revealed type is "m.B" [file m.pyi] x: B class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeAndImport2] from m import A, B import m as x with A() as x: \ # E: Incompatible types in assignment (expression has type "A", variable has type Module) pass with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type Module) pass [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [builtins fixtures/module.pyi] [case testWithStmtScopeAndImportStar] from m import A, B from m import * with A() as x: pass with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeNestedWith1] from m import A, B with A() as x: with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") reveal_type(x) # N: Revealed type is "m.A" with B() as x: with A() as x: \ # E: Incompatible types in assignment (expression has type "A", variable has type "B") reveal_type(x) # N: Revealed type is "m.B" [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeNestedWith2] from m import A, B with A() as x: with A() as y: reveal_type(y) # N: Revealed type is "m.A" with B() as y: reveal_type(y) # N: Revealed type is "m.B" [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeInnerAndOuterScopes] from m import A, B x = A() # Outer scope should have no impact with A() as x: pass def f() -> None: with A() as x: reveal_type(x) # N: Revealed type is "m.A" with B() as x: reveal_type(x) # N: Revealed type is "m.B" y = x with A() as x: pass [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeMultipleContextManagers] from m import A, B with A() as x, B() as y: reveal_type(x) # N: Revealed type is "m.A" reveal_type(y) # N: Revealed type is "m.B" with B() as x, A() as y: reveal_type(x) # N: Revealed type is "m.B" reveal_type(y) # N: Revealed type is "m.A" [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeMultipleAssignment] from m import A, B with A() as (x, y): reveal_type(x) # N: Revealed type is "m.A" reveal_type(y) # N: Revealed type is "builtins.int" with B() as [x, y]: reveal_type(x) # N: Revealed type is "m.B" reveal_type(y) # N: Revealed type is "builtins.str" [file m.pyi] from typing import Tuple class A: def __enter__(self) -> Tuple[A, int]: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> Tuple[B, str]: ... def __exit__(self, x, y, z) -> None: ... [builtins fixtures/tuple.pyi] [case testWithStmtScopeComplexAssignments] from m import A, B, f with A() as x: pass with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass with B() as f(x).x: pass with A() as y: pass with B() as y: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass with B() as f(y)[0]: pass [file m.pyi] def f(x): ... class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeAndClass] from m import A, B with A() as x: pass class C: with A() as y: pass with B() as y: pass with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeInnerScopeReference] from m import A, B with A() as x: def f() -> A: return x f() with B() as x: \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") pass [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... [case testWithStmtScopeAndLambda] from m import A, B # This is technically not correct, since the lambda can outlive the with # statement, but this behavior seems more intuitive. with A() as x: lambda: reveal_type(x) # N: Revealed type is "m.A" with B() as x: pass [file m.pyi] class A: def __enter__(self) -> A: ... def __exit__(self, x, y, z) -> None: ... class B: def __enter__(self) -> B: ... def __exit__(self, x, y, z) -> None: ... -- Chained assignment -- ------------------ [case testChainedAssignment] import typing class A: pass class B: pass x = y = A() if int(): x = A() if int(): y = A() if int(): x = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): y = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [case testChainedAssignment2] import typing def f() -> None: x = 1 y = 'x' if int(): x = y = 'x' # E: Incompatible types in assignment (expression has type "str", variable has type "int") x = y = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/primitives.pyi] [out] [case testChainedAssignmentWithType] # flags: --no-strict-optional x = y = None # type: int if int(): x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): y = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): x = 1 if int(): y = 1 -- Star assignment -- --------------- [case testAssignListToStarExpr] from typing import List bs: List[A] cs: List[B] if int(): *bs, b = bs if int(): *bs, c = cs # E: Incompatible types in assignment (expression has type "list[B]", variable has type "list[A]") if int(): *ns, c = cs if int(): nc = cs class A: pass class B: pass [builtins fixtures/list.pyi] -- Type aliases -- ------------ [case testSimpleTypeAlias] import typing foo = int def f(x: foo) -> None: pass f(1) f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [case testTypeAliasDefinedInAModule] import typing import m def f(x: m.foo) -> None: pass f(1) f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [file m.py] import typing foo = int [case testTypeAliasDefinedInAModule2] import typing from m import foo def f(x: foo) -> None: pass f(1) f('x') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [file m.py] import typing foo = int -- nonlocal and global -- ------------------- [case testTypeOfGlobalUsed] import typing class A(): pass class B(): pass g = A() def f() -> None: global g g = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") [case testTypeOfNonlocalUsed] import typing def f() -> None: a = A() def g() -> None: nonlocal a a = B() class A(): pass class B(): pass [out] main:6: error: Incompatible types in assignment (expression has type "B", variable has type "A") [case testTypeOfOuterMostNonlocalUsed] import typing def f() -> None: a = A() def g() -> None: a = B() def h() -> None: nonlocal a a = A() a = B() class A(): pass class B(): pass [out] main:8: error: Incompatible types in assignment (expression has type "A", variable has type "B") [case testAugmentedAssignmentIntFloat] weight0 = 65.5 reveal_type(weight0) # N: Revealed type is "builtins.float" if int(): weight0 = 65 reveal_type(weight0) # N: Revealed type is "builtins.int" weight0 *= 'a' # E: Incompatible types in assignment (expression has type "str", variable has type "float") weight0 *= 0.5 reveal_type(weight0) # N: Revealed type is "builtins.float" weight0 *= object() # E: Unsupported operand types for * ("float" and "object") reveal_type(weight0) # N: Revealed type is "builtins.float" [builtins fixtures/float.pyi] [case testAugmentedAssignmentIntFloatMember] class A: def __init__(self) -> None: self.weight0 = 65.5 reveal_type(self.weight0) # N: Revealed type is "builtins.float" self.weight0 = 65 reveal_type(self.weight0) # N: Revealed type is "builtins.int" self.weight0 *= 'a' # E: Incompatible types in assignment (expression has type "str", variable has type "float") self.weight0 *= 0.5 reveal_type(self.weight0) # N: Revealed type is "builtins.float" self.weight0 *= object() # E: Unsupported operand types for * ("float" and "object") reveal_type(self.weight0) # N: Revealed type is "builtins.float" [builtins fixtures/float.pyi] [case testAugmentedAssignmentIntFloatDict] from typing import Dict d = {'weight0': 65.5} reveal_type(d['weight0']) # N: Revealed type is "builtins.float" d['weight0'] = 65 reveal_type(d['weight0']) # N: Revealed type is "builtins.float" d['weight0'] *= 'a' # E: Unsupported operand types for * ("float" and "str") d['weight0'] *= 0.5 reveal_type(d['weight0']) # N: Revealed type is "builtins.float" d['weight0'] *= object() # E: Unsupported operand types for * ("float" and "object") reveal_type(d['weight0']) # N: Revealed type is "builtins.float" [builtins fixtures/floatdict.pyi] [case testForwardRefsInForStatementImplicit] from typing import List, NamedTuple lst: List[N] for i in lst: reveal_type(i.x) # N: Revealed type is "builtins.int" a: str = i[0] # E: Incompatible types in assignment (expression has type "int", variable has type "str") N = NamedTuple('N', [('x', int)]) [builtins fixtures/list.pyi] [out] [case testForwardRefsInForStatement] from typing import List, NamedTuple lst: List[M] for i in lst: # type: N reveal_type(i.x) # N: Revealed type is "builtins.int" a: str = i[0] # E: Incompatible types in assignment (expression has type "int", variable has type "str") N = NamedTuple('N', [('x', int)]) class M(N): pass [builtins fixtures/list.pyi] [out] [case testForwardRefsInWithStatementImplicit] from typing import ContextManager, Any, TypedDict cm: ContextManager[N] with cm as g: a: int = g['x'] N = TypedDict('N', {'x': int}) [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [out] [case testForwardRefsInWithStatement] from typing import ContextManager, Any, TypedDict cm: ContextManager[Any] with cm as g: # type: N a: str = g['x'] # E: Incompatible types in assignment (expression has type "int", variable has type "str") N = TypedDict('N', {'x': int}) [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [out] [case testGlobalWithoutInitialization] # flags: --disable-error-code=annotation-unchecked from typing import List def foo() -> None: global bar # TODO: Confusing error message bar = [] # type: List[str] # E: Name "bar" already defined (possibly by an import) bar # E: Name "bar" is not defined def foo2(): global bar2 bar2 = [] # type: List[str] bar2 [builtins fixtures/list.pyi] [case testNoteUncheckedAnnotation] def foo(): x: int = "no" # N: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs y = "no" # type: int # N: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs z: int # N: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs [case testGeneratorUnion] from typing import Generator, Union class A: pass class B: pass def foo(x: int) -> Union[Generator[A, None, None], Generator[B, None, None]]: yield x # E: Incompatible types in "yield" (actual type "int", expected type "Union[A, B]") [case testYieldFromUnionOfGenerators] from typing import Generator, Union class T: pass def foo(arg: Union[Generator[int, None, T], Generator[str, None, T]]) -> Generator[Union[int, str], None, T]: return (yield from arg) [case testYieldFromInvalidUnionReturn] from typing import Generator, Union class A: pass class B: pass def foo(arg: Union[A, B]) -> Generator[Union[int, str], None, A]: return (yield from arg) # E: "yield from" can't be applied to "Union[A, B]" [case testYieldFromUnionOfGeneratorWithIterableStr] from typing import Generator, Union, Iterable, Optional def foo(arg: Union[Generator[int, None, bytes], Iterable[str]]) -> Generator[Union[int, str], None, Optional[bytes]]: return (yield from arg) def bar(arg: Generator[str, None, str]) -> Generator[str, None, str]: return foo(arg) # E: Incompatible return value type (got "Generator[Union[int, str], None, Optional[bytes]]", expected "Generator[str, None, str]") def launder(arg: Iterable[str]) -> Generator[Union[int, str], None, Optional[bytes]]: return foo(arg) def baz(arg: Generator[str, None, str]) -> Generator[Union[int, str], None, Optional[bytes]]: # this is unsound, the Generator return type will actually be str return launder(arg) [builtins fixtures/tuple.pyi] [case testYieldIteratorReturn] from typing import Iterator def get_strings(foo: bool) -> Iterator[str]: if foo: return ["foo1", "foo2"] # E: No return value expected else: yield "bar1" yield "bar2" [builtins fixtures/tuple.pyi] [case testYieldFromInvalidType] from collections.abc import Iterator class A: def list(self) -> None: ... def foo(self) -> list[int]: # E: Function "__main__.A.list" is not valid as a type \ # N: Perhaps you need "Callable[...]" or a callback protocol? return [] def fn() -> Iterator[int]: yield from A().foo() # E: "list?[builtins.int]" has no attribute "__iter__" (not iterable) [builtins fixtures/tuple.pyi] [case testNoCrashOnStarRightHandSide] x = *(1, 2, 3) # E: can't use starred expression here [builtins fixtures/tuple.pyi] [case testTypingExtensionsSuggestion] from typing import _FutureFeatureFixture # This import is only needed in tests. In real life, mypy will always have typing_extensions in its # build due to its pervasive use in typeshed. This assumption may one day prove False, but when # that day comes this suggestion will also be less helpful than it is today. import typing_extensions [out] main:1: error: Module "typing" has no attribute "_FutureFeatureFixture" main:1: note: Use `from typing_extensions import _FutureFeatureFixture` instead main:1: note: See https://mypy.readthedocs.io/en/stable/runtime_troubles.html#using-new-additions-to-the-typing-module [builtins fixtures/tuple.pyi] [case testNoCrashOnBreakOutsideLoopFunction] def foo(): for x in [1, 2]: def inner(): break # E: "break" outside loop [builtins fixtures/list.pyi] [case testNoCrashOnBreakOutsideLoopClass] class Outer: for x in [1, 2]: class Inner: break # E: "break" outside loop [builtins fixtures/list.pyi] [case testCallableInstanceOverlapAllowed] # flags: --warn-unreachable from typing import Any, Callable, List class CAny: def __call__(self) -> Any: ... class CNone: def __call__(self) -> None: ... class CWrong: def __call__(self, x: int) -> None: ... def describe(func: Callable[[], None]) -> str: if isinstance(func, CAny): return "CAny" elif isinstance(func, CNone): return "CNone" elif isinstance(func, CWrong): return "CWrong" # E: Statement is unreachable else: return "other" class C(CAny): def __call__(self) -> None: ... def f(): pass describe(CAny()) describe(C()) describe(CNone()) describe(CWrong()) # E: Argument 1 to "describe" has incompatible type "CWrong"; expected "Callable[[], None]" \ # N: "CWrong.__call__" has type "def __call__(self, x: int) -> None" describe(f) [builtins fixtures/isinstancelist.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-super.test0000644000175100017510000002532215112307767020242 0ustar00runnerrunner-- Test cases for type checker related to super(). -- Supertype member reference -- -------------------------- [case testAccessingSupertypeMethod] class B: def f(self) -> 'B': pass class A(B): def f(self) -> 'A': a: A b: B if int(): a = super().f() # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = super().g() # E: "g" undefined in superclass b = super().f() return a [builtins fixtures/tuple.pyi] [out] [case testAccessingSuperTypeMethodWithArgs] from typing import Any class B: def f(self, y: 'A') -> None: pass class A(B): def f(self, y: Any) -> None: a: A b: B super().f(b) # E: Argument 1 to "f" of "B" has incompatible type "B"; expected "A" super().f(a) self.f(b) self.f(a) [builtins fixtures/tuple.pyi] [out] [case testAccessingSuperInit] # flags: --no-strict-optional import typing class B: def __init__(self, x: A) -> None: pass class A(B): def __init__(self) -> None: super().__init__(B(None)) # E: Argument 1 to "__init__" of "B" has incompatible type "B"; expected "A" super().__init__() # E: Missing positional argument "x" in call to "__init__" of "B" super().__init__(A()) [out] [case testAccessingSuperMemberWithDeepHierarchy] import typing class C: def f(self) -> None: pass class B(C): pass class A(B): def f(self) -> None: super().g() # E: "g" undefined in superclass super().f() [out] [case testAssignToBaseClassMethod] import typing class A: def f(self) -> None: pass class B(A): def g(self) -> None: super().f = None [out] main:6: error: Invalid assignment target [case testSuperWithMultipleInheritance] import typing class A: def f(self) -> None: pass class B: def g(self, x: int) -> None: pass class C(A, B): def f(self) -> None: super().f() super().g(1) super().f(1) # E: Too many arguments for "f" of "A" super().g() # E: Missing positional argument "x" in call to "g" of "B" super().not_there() # E: "not_there" undefined in superclass [out] [case testSuperWithNew] class A: def __new__(cls, x: int) -> 'A': return object.__new__(cls) class B(A): def __new__(cls, x: int, y: str = '') -> 'B': super().__new__(cls, 1) super().__new__(cls, 1, '') # E: Too many arguments for "__new__" of "A" return cls(1) B('') # E: Argument 1 to "B" has incompatible type "str"; expected "int" B(1) B(1, 'x') [builtins fixtures/__new__.pyi] reveal_type(C.a) # N: Revealed type is "Any" [out] [case testSuperWithUnknownBase] from typing import Any B = None # type: Any class C(B): def __init__(self, arg=0): super(C, self).__init__(arg, arg=arg) [out] [case testSuperSilentInDynamicFunction] class A: pass class B(A): def foo(self): super(B, self).foo() # Not an error [out] [case testSuperWithAny] class B: def f(self) -> None: pass class C(B): def h(self, x) -> None: reveal_type(super(x, x).f) # N: Revealed type is "def ()" reveal_type(super(C, x).f) # N: Revealed type is "def ()" reveal_type(super(C, type(x)).f) # N: Revealed type is "def (self: __main__.B)" [case testSuperInUnannotatedMethod] class C: def h(self): super(C, self).xyz [case testSuperWithTypeObjects] from typing import Type class A: def f(self) -> object: pass class B(A): def f(self) -> int: pass @classmethod def g(cls, x) -> None: reveal_type(super(cls, x).f) # N: Revealed type is "def () -> builtins.object" def h(self, t: Type[B]) -> None: reveal_type(super(t, self).f) # N: Revealed type is "def () -> builtins.object" [builtins fixtures/classmethod.pyi] [case testSuperWithTypeTypeAsSecondArgument] class B: def f(self) -> None: pass class C(B): def __new__(cls) -> 'C': super(C, cls).f return C() [case testSuperWithGenericSelf] from typing import TypeVar T = TypeVar('T', bound='C') class B: def f(self) -> float: pass class C(B): def f(self) -> int: pass def g(self: T) -> T: reveal_type(super(C, self).f) # N: Revealed type is "def () -> builtins.float" return self [case testSuperWithTypeVarValues1] from typing import TypeVar T = TypeVar('T', 'C', 'D') S = TypeVar('S', 'B', 'C') class B: def f(self) -> None: pass class C(B): def f(self) -> None: pass def g(self, x: T, y: S) -> None: super(C, x).f super(C, y).f # E: Argument 2 for "super" not an instance of argument 1 class D(C): pass [case testSuperWithTypeVarValues2] from typing import TypeVar, Generic T = TypeVar('T', 'C', 'D') S = TypeVar('S', 'B', 'C') class B: def f(self) -> None: pass class C(B, Generic[T, S]): def f(self) -> None: pass def g(self, x: T, y: S) -> None: super(C, x).f super(C, y).f # E: Argument 2 for "super" not an instance of argument 1 class D(C): pass [case testSuperInClassMethod] from typing import Union class A: def f(self, i: int) -> None: pass class B(A): def f(self, i: Union[int, str]) -> None: pass @classmethod def g(cls, i: int) -> None: super().f(B(), i) super(B, cls).f(cls(), i) super(B, B()).f(i) super().f(B(), '') # E: Argument 2 to "f" of "A" has incompatible type "str"; expected "int" super(B, cls).f(cls(), '') # E: Argument 2 to "f" of "A" has incompatible type "str"; expected "int" super(B, B()).f('') # E: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [builtins fixtures/classmethod.pyi] [case testSuperWithUnrelatedTypes] from typing import Union class A: def f(self, s: str) -> None: pass class B(A): def f(self, i: Union[int, str]) -> None: pass class C: def g(self, b: B) -> None: super(B, b).f('42') super(B, b).f(42) # E: Argument 1 to "f" of "A" has incompatible type "int"; expected "str" [case testSuperOutsideClass] from typing import Union class A: def f(self, s: str) -> None: pass class B(A): def f(self, i: Union[int, str]) -> None: pass def g(b: B) -> None: super(B, b).f('42') super(B, b).f(42) # E: Argument 1 to "f" of "A" has incompatible type "int"; expected "str" [case testSuperInInitSubclass] class A: def __init_subclass__(cls) -> None: super().__init_subclass__() [builtins fixtures/__init_subclass__.pyi] [case testSuperClassGetItem] from typing import TypeVar, Type, Any T = TypeVar("T", bound="B") class A: def __class_getitem__(cls, item) -> None: pass class B(A): def __class_getitem__(cls: Type[T], item: Any) -> None: super(B, cls).__class_getitem__(item) -- Invalid uses of super() -- ----------------------- [case testSuperOutsideMethodNoCrash] class A: x = 1 class B(A): pass class C(B): b = super(B, B).x a = super().whatever # E: "super()" outside of a method is not supported [case testSuperWithObjectClassAsFirstArgument] class A: def f(self) -> None: super(object, self).f() # E: Target class has no base class [case testSuperWithTypeVarAsFirstArgument] from typing import TypeVar T = TypeVar('T') def f(obj: T) -> None: super(obj.__class__, obj).f() # E: Target class has no base class [builtins fixtures/__new__.pyi] [case testSuperWithSingleArgument] class B: def f(self) -> None: pass class C(B): def __init__(self) -> None: super(C).f() # E: "super" with a single argument not supported [case testSuperWithThreeArguments] class B: def f(self) -> None: pass class C(B): def h(self) -> None: super(C, self, 1).f() # E: Too many arguments for "super" [case testSuperWithNonPositionalArguments] class B: def f(self) -> None: pass class C(B): def h(self) -> None: super(C, x=self).f() # E: "super" only accepts positional arguments super(**{}).f() # E: "super" only accepts positional arguments [case testSuperWithVarArgs] class B: def f(self) -> None: pass class C(B): def h(self) -> None: super(*(C, self)).f() # E: Varargs not supported with "super" [case testInvalidSuperArg] class B: def f(self) -> None: pass class C(B): def h(self) -> None: super(x, y).f # E: Name "x" is not defined # E: Name "y" is not defined [case testTypeErrorInSuperArg] class B: def f(self) -> None: pass class C(B): def h(self) -> None: super(1(), self).f # E: "int" not callable super(C, ''()).f # E: "str" not callable [case testFlippedSuperArgs] class B: def f(self) -> None: pass class C(B): def h(self) -> None: super(self, C).f # E: Argument 1 for "super" must be a type object; got a non-type instance [case testInvalidFirstSuperArg] class B: def f(self) -> None: pass class C(B): def h(self) -> None: super(None, C).f # E: Argument 1 for "super" must be a type object; got "None" [case testInvalidSecondArgumentToSuper] class B: def f(self) -> None: pass class C(B): def h(self) -> None: super(C, 1).f # E: Argument 2 for "super" not an instance of argument 1 super(C, None).f # E: Unsupported argument 2 for "super" [case testSuperInMethodWithNoArguments] class A: def f(self) -> None: pass @staticmethod def st() -> int: return 1 class B(A): def g() -> None: # E: Method must have at least one argument. Did you forget the "self" argument? super().f() # E: "super()" requires one or two positional arguments in enclosing function def h(self) -> None: def a() -> None: super().f() # E: "super()" requires one or two positional arguments in enclosing function @staticmethod def st() -> int: reveal_type(super(B, B).st()) # N: Revealed type is "builtins.int" super().st() # E: "super()" requires one or two positional arguments in enclosing function return 2 [builtins fixtures/staticmethod.pyi] [case testSuperWithUnsupportedTypeObject] from typing import Type class A: def f(self) -> int: pass class B(A): def h(self, t: Type[None]) -> None: super(t, self).f # E: Unsupported argument 1 for "super" [case testSuperSelfTypeInstanceMethod] from typing import TypeVar, Type T = TypeVar("T", bound="A") class A: def foo(self: T) -> T: ... class B(A): def foo(self: T) -> T: reveal_type(super().foo()) # N: Revealed type is "T`-1" return super().foo() [case testSuperSelfTypeClassMethod] from typing import TypeVar, Type T = TypeVar("T", bound="A") class A: @classmethod def foo(cls: Type[T]) -> T: ... class B(A): @classmethod def foo(cls: Type[T]) -> T: reveal_type(super().foo()) # N: Revealed type is "T`-1" return super().foo() [builtins fixtures/classmethod.pyi] [case testWrongSuperOutsideMethodNoCrash] class B: x: int class C1(B): ... class C2(B): ... super(C1, C2).x # E: Argument 2 for "super" not an instance of argument 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-tuples.test0000644000175100017510000015771315112307767020432 0ustar00runnerrunner-- Normal assignment and subtyping -- ------------------------------- [case testTupleAssignmentWithTupleTypes] from typing import Tuple t1: Tuple[A] t2: Tuple[B] t3: Tuple[A, A] t4: Tuple[A, B] t5: Tuple[B, A] if int(): t1 = t2 # E: Incompatible types in assignment (expression has type "tuple[B]", variable has type "tuple[A]") if int(): t1 = t3 # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "tuple[A]") if int(): t3 = t1 # E: Incompatible types in assignment (expression has type "tuple[A]", variable has type "tuple[A, A]") if int(): t3 = t4 # E: Incompatible types in assignment (expression has type "tuple[A, B]", variable has type "tuple[A, A]") if int(): t3 = t5 # E: Incompatible types in assignment (expression has type "tuple[B, A]", variable has type "tuple[A, A]") # Ok if int(): t1 = t1 if int(): t2 = t2 if int(): t3 = t3 if int(): t4 = t4 if int(): t5 = t5 class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testTupleSubtyping] from typing import Tuple t1: Tuple[A, A] t2: Tuple[A, B] t3: Tuple[B, A] if int(): t2 = t1 # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "tuple[A, B]") t2 = t3 # E: Incompatible types in assignment (expression has type "tuple[B, A]", variable has type "tuple[A, B]") t3 = t1 # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "tuple[B, A]") t3 = t2 # E: Incompatible types in assignment (expression has type "tuple[A, B]", variable has type "tuple[B, A]") t1 = t2 t1 = t3 class A: pass class B(A): pass [builtins fixtures/tuple.pyi] [case testTupleCompatibilityWithOtherTypes] # flags: --no-strict-optional from typing import Tuple a, o = None, None # type: (A, object) t = None # type: Tuple[A, A] if int(): a = t # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "A") if int(): t = o # E: Incompatible types in assignment (expression has type "object", variable has type "tuple[A, A]") if int(): t = a # E: Incompatible types in assignment (expression has type "A", variable has type "tuple[A, A]") # TODO: callable types + tuples # Ok if int(): o = t if int(): t = None class A: pass [builtins fixtures/tuple.pyi] [case testNestedTupleTypes] from typing import Tuple t1: Tuple[A, Tuple[A, A]] t2: Tuple[B, Tuple[B, B]] if int(): t2 = t1 # E: Incompatible types in assignment (expression has type "tuple[A, tuple[A, A]]", variable has type "tuple[B, tuple[B, B]]") if int(): t1 = t2 class A: pass class B(A): pass [builtins fixtures/tuple.pyi] [case testNestedTupleTypes2] from typing import Tuple t1: Tuple[A, Tuple[A, A]] t2: Tuple[B, Tuple[B, B]] if int(): t2 = t1 # E: Incompatible types in assignment (expression has type "tuple[A, tuple[A, A]]", variable has type "tuple[B, tuple[B, B]]") if int(): t1 = t2 class A: pass class B(A): pass [builtins fixtures/tuple.pyi] [case testSubtypingWithTupleType] from __future__ import annotations from typing import Any, Tuple tuple_aa: tuple[A, A] Tuple_aa: Tuple[A, A] tuple_obj: tuple[object, ...] Tuple_obj: Tuple[object, ...] tuple_obj_one: tuple[object] Tuple_obj_one: Tuple[object] tuple_obj_two: tuple[object, object] Tuple_obj_two: Tuple[object, object] tuple_any_implicit: tuple Tuple_any_implicit: Tuple tuple_any: tuple[Any, ...] Tuple_any: Tuple[Any, ...] tuple_any_one: tuple[Any] Tuple_any_one: Tuple[Any] tuple_any_two: tuple[Any, Any] Tuple_any_two: Tuple[Any, Any] def takes_tuple_aa(t: tuple[A, A]): ... takes_tuple_aa(tuple_aa) takes_tuple_aa(Tuple_aa) takes_tuple_aa(tuple_obj) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple[object, ...]"; expected "tuple[A, A]" takes_tuple_aa(Tuple_obj) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple[object, ...]"; expected "tuple[A, A]" takes_tuple_aa(tuple_obj_one) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple[object]"; expected "tuple[A, A]" takes_tuple_aa(Tuple_obj_one) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple[object]"; expected "tuple[A, A]" takes_tuple_aa(tuple_obj_two) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple[object, object]"; expected "tuple[A, A]" takes_tuple_aa(Tuple_obj_two) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple[object, object]"; expected "tuple[A, A]" takes_tuple_aa(tuple_any_implicit) takes_tuple_aa(Tuple_any_implicit) takes_tuple_aa(tuple_any) takes_tuple_aa(Tuple_any) takes_tuple_aa(tuple_any_one) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple[Any]"; expected "tuple[A, A]" takes_tuple_aa(Tuple_any_one) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple[Any]"; expected "tuple[A, A]" takes_tuple_aa(tuple_any_two) takes_tuple_aa(Tuple_any_two) def takes_tuple_any_implicit(t: tuple): ... takes_tuple_any_implicit(tuple_aa) takes_tuple_any_implicit(Tuple_aa) takes_tuple_any_implicit(tuple_obj) takes_tuple_any_implicit(Tuple_obj) takes_tuple_any_implicit(tuple_obj_one) takes_tuple_any_implicit(Tuple_obj_one) takes_tuple_any_implicit(tuple_obj_two) takes_tuple_any_implicit(Tuple_obj_two) takes_tuple_any_implicit(tuple_any_implicit) takes_tuple_any_implicit(Tuple_any_implicit) takes_tuple_any_implicit(tuple_any) takes_tuple_any_implicit(Tuple_any) takes_tuple_any_implicit(tuple_any_one) takes_tuple_any_implicit(Tuple_any_one) takes_tuple_any_implicit(tuple_any_two) takes_tuple_any_implicit(Tuple_any_two) def takes_tuple_any_one(t: tuple[Any]): ... takes_tuple_any_one(tuple_aa) # E: Argument 1 to "takes_tuple_any_one" has incompatible type "tuple[A, A]"; expected "tuple[Any]" takes_tuple_any_one(Tuple_aa) # E: Argument 1 to "takes_tuple_any_one" has incompatible type "tuple[A, A]"; expected "tuple[Any]" takes_tuple_any_one(tuple_obj) # E: Argument 1 to "takes_tuple_any_one" has incompatible type "tuple[object, ...]"; expected "tuple[Any]" takes_tuple_any_one(Tuple_obj) # E: Argument 1 to "takes_tuple_any_one" has incompatible type "tuple[object, ...]"; expected "tuple[Any]" takes_tuple_any_one(tuple_obj_one) takes_tuple_any_one(Tuple_obj_one) takes_tuple_any_one(tuple_obj_two) # E: Argument 1 to "takes_tuple_any_one" has incompatible type "tuple[object, object]"; expected "tuple[Any]" takes_tuple_any_one(Tuple_obj_two) # E: Argument 1 to "takes_tuple_any_one" has incompatible type "tuple[object, object]"; expected "tuple[Any]" takes_tuple_any_one(tuple_any_implicit) takes_tuple_any_one(Tuple_any_implicit) takes_tuple_any_one(tuple_any) takes_tuple_any_one(Tuple_any) takes_tuple_any_one(tuple_any_one) takes_tuple_any_one(Tuple_any_one) takes_tuple_any_one(tuple_any_two) # E: Argument 1 to "takes_tuple_any_one" has incompatible type "tuple[Any, Any]"; expected "tuple[Any]" takes_tuple_any_one(Tuple_any_two) # E: Argument 1 to "takes_tuple_any_one" has incompatible type "tuple[Any, Any]"; expected "tuple[Any]" class A: pass [builtins fixtures/tuple.pyi] [case testSubtypingWithTupleTypeSubclass] from __future__ import annotations from typing import Any, Tuple class A: ... inst_tuple_aa: Tuple[A, A] class tuple_aa_subclass(Tuple[A, A]): ... inst_tuple_aa_subclass: tuple_aa_subclass class tuple_any_subclass(Tuple[Any, ...]): ... inst_tuple_any_subclass: tuple_any_subclass class tuple_any_one_subclass(Tuple[Any]): ... inst_tuple_any_one_subclass: tuple_any_one_subclass class tuple_any_two_subclass(Tuple[Any, Any]): ... inst_tuple_any_two_subclass: tuple_any_two_subclass class tuple_obj_subclass(Tuple[object, ...]): ... inst_tuple_obj_subclass: tuple_obj_subclass class tuple_obj_one_subclass(Tuple[object]): ... inst_tuple_obj_one_subclass: tuple_obj_one_subclass class tuple_obj_two_subclass(Tuple[object, object]): ... inst_tuple_obj_two_subclass: tuple_obj_two_subclass def takes_tuple_aa(t: Tuple[A, A]): ... takes_tuple_aa(inst_tuple_aa) takes_tuple_aa(inst_tuple_aa_subclass) takes_tuple_aa(inst_tuple_any_subclass) takes_tuple_aa(inst_tuple_any_one_subclass) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple_any_one_subclass"; expected "tuple[A, A]" takes_tuple_aa(inst_tuple_any_two_subclass) takes_tuple_aa(inst_tuple_obj_subclass) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple_obj_subclass"; expected "tuple[A, A]" takes_tuple_aa(inst_tuple_obj_one_subclass) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple_obj_one_subclass"; expected "tuple[A, A]" takes_tuple_aa(inst_tuple_obj_two_subclass) # E: Argument 1 to "takes_tuple_aa" has incompatible type "tuple_obj_two_subclass"; expected "tuple[A, A]" def takes_tuple_aa_subclass(t: tuple_aa_subclass): ... takes_tuple_aa_subclass(inst_tuple_aa) # E: Argument 1 to "takes_tuple_aa_subclass" has incompatible type "tuple[A, A]"; expected "tuple_aa_subclass" takes_tuple_aa_subclass(inst_tuple_aa_subclass) takes_tuple_aa_subclass(inst_tuple_any_subclass) # E: Argument 1 to "takes_tuple_aa_subclass" has incompatible type "tuple_any_subclass"; expected "tuple_aa_subclass" takes_tuple_aa_subclass(inst_tuple_any_one_subclass) # E: Argument 1 to "takes_tuple_aa_subclass" has incompatible type "tuple_any_one_subclass"; expected "tuple_aa_subclass" takes_tuple_aa_subclass(inst_tuple_any_two_subclass) # E: Argument 1 to "takes_tuple_aa_subclass" has incompatible type "tuple_any_two_subclass"; expected "tuple_aa_subclass" takes_tuple_aa_subclass(inst_tuple_obj_subclass) # E: Argument 1 to "takes_tuple_aa_subclass" has incompatible type "tuple_obj_subclass"; expected "tuple_aa_subclass" takes_tuple_aa_subclass(inst_tuple_obj_one_subclass) # E: Argument 1 to "takes_tuple_aa_subclass" has incompatible type "tuple_obj_one_subclass"; expected "tuple_aa_subclass" takes_tuple_aa_subclass(inst_tuple_obj_two_subclass) # E: Argument 1 to "takes_tuple_aa_subclass" has incompatible type "tuple_obj_two_subclass"; expected "tuple_aa_subclass" [builtins fixtures/tuple.pyi] [case testTupleInitializationWithNone] # flags: --no-strict-optional from typing import Tuple t = None # type: Tuple[A, A] t = None class A: pass [builtins fixtures/tuple.pyi] -- Tuple expressions -- ----------------- [case testTupleExpressions] # flags: --no-strict-optional from typing import Tuple t1 = None # type: tuple t2 = None # type: Tuple[A] t3 = None # type: Tuple[A, B] a, b, c = None, None, None # type: (A, B, C) if int(): t2 = () # E: Incompatible types in assignment (expression has type "tuple[()]", variable has type "tuple[A]") if int(): t2 = (a, a) # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "tuple[A]") if int(): t3 = (a, a) # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "tuple[A, B]") if int(): t3 = (b, b) # E: Incompatible types in assignment (expression has type "tuple[B, B]", variable has type "tuple[A, B]") if int(): t3 = (a, b, a) # E: Incompatible types in assignment (expression has type "tuple[A, B, A]", variable has type "tuple[A, B]") t1 = () t1 = (a,) t2 = (a,) t3 = (a, b) t3 = (a, c) t3 = (None, None) class A: pass class B: pass class C(B): pass [builtins fixtures/tuple.pyi] [case testVoidValueInTuple] import typing def f() -> None: pass (None, f()) # E: "f" does not return a value (it only ever returns None) (f(), None) # E: "f" does not return a value (it only ever returns None) [builtins fixtures/tuple.pyi] -- Indexing -- -------- [case testIndexingTuples] from typing import Tuple t1: Tuple[A, B] t2: Tuple[A] t3: Tuple[A, B, C, D, E] a: A b: B x: Tuple[A, B, C] y: Tuple[A, C, E] n = 0 if int(): a = t1[1] # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = t1[0] # E: Incompatible types in assignment (expression has type "A", variable has type "B") t1[2] # E: Tuple index out of range t1[3] # E: Tuple index out of range t2[1] # E: Tuple index out of range reveal_type(t1[n]) # N: Revealed type is "Union[__main__.A, __main__.B]" reveal_type(t3[n:]) # N: Revealed type is "builtins.tuple[Union[__main__.A, __main__.B, __main__.C, __main__.D, __main__.E], ...]" if int(): b = t1[(0)] # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = t1[0] if int(): b = t1[1] if int(): b = t1[-1] if int(): a = t1[(0)] if int(): b = t1[+1] if int(): x = t3[0:3] # type (A, B, C) if int(): y = t3[0:+5:2] # type (A, C, E) if int(): x = t3[:-2] # type (A, B, C) class A: pass class B: pass class C: pass class D: pass class E: pass [builtins fixtures/tuple.pyi] [case testIndexingTuplesWithNegativeIntegers] from typing import Tuple t1: Tuple[A, B] t2: Tuple[A] a: A b: B if int(): a = t1[-1] # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = t1[-2] # E: Incompatible types in assignment (expression has type "A", variable has type "B") t1[-3] # E: Tuple index out of range t1[-4] # E: Tuple index out of range if int(): b = t2[(-1)] # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = t1[-2] if int(): b = t1[-1] if int(): a = t2[(-1)] class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testAssigningToTupleItems] from typing import Tuple class A: pass class B: pass t: Tuple[A, B] n = 0 t[0] = A() # E: Unsupported target for indexed assignment ("tuple[A, B]") t[2] = A() # E: Unsupported target for indexed assignment ("tuple[A, B]") t[n] = A() # E: Unsupported target for indexed assignment ("tuple[A, B]") [builtins fixtures/tuple.pyi] -- Multiple assignment -- ------------------- [case testMultipleAssignmentWithTuples] # flags: --no-strict-optional from typing import Tuple t1 = None # type: Tuple[A, B] t2 = None # type: Tuple[A, B, A] a, b = None, None # type: (A, B) (a1, b1) = None, None # type: Tuple[A, B] reveal_type(a1) # N: Revealed type is "__main__.A" reveal_type(b1) # N: Revealed type is "__main__.B" if int(): a, a = t1 # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b, b = t1 # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a, b, b = t2 # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a, b = t1 if int(): a, b, a1 = t2 class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testMultipleAssignmentWithSquareBracketTuples] # flags: --no-strict-optional from typing import Tuple def avoid_confusing_test_parser() -> None: t1 = None # type: Tuple[A, B] t2 = None # type: Tuple[A, B, A] [a, b] = None, None # type: (A, B) [a1, b1] = None, None # type: Tuple[A, B] reveal_type(a) # N: Revealed type is "__main__.A" reveal_type(b) # N: Revealed type is "__main__.B" reveal_type(a1) # N: Revealed type is "__main__.A" reveal_type(b1) # N: Revealed type is "__main__.B" if int(): [a, a] = t1 # E: Incompatible types in assignment (expression has type "B", variable has type "A") [b, b] = t1 # E: Incompatible types in assignment (expression has type "A", variable has type "B") [a, b, b] = t2 # E: Incompatible types in assignment (expression has type "A", variable has type "B") [a, b] = t1 [a, b, a1] = t2 [a2, b2] = t1 reveal_type(a2) # N: Revealed type is "__main__.A" reveal_type(b2) # N: Revealed type is "__main__.B" class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testMultipleAssignmentWithInvalidNumberOfValues] from typing import Tuple t1: Tuple[A, A, A] a: A a, a = t1 # E: Too many values to unpack (2 expected, 3 provided) a, a, a, a = t1 # E: Need more than 3 values to unpack (4 expected) a, a, a = t1 class A: pass [builtins fixtures/tuple.pyi] [case testMultipleAssignmentWithTupleExpressionRvalue] a: A b: B if int(): a, b = a, a # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a, b = b, a \ # E: Incompatible types in assignment (expression has type "B", variable has type "A") \ # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a, b = a, b if int(): a, a = a, a class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testSubtypingInMultipleAssignment] a: A b: B if int(): b, b = a, b # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b, b = b, a # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a, b = b, b if int(): b, a = b, b class A: pass class B(A): pass [builtins fixtures/tuple.pyi] [case testInitializationWithMultipleValues] # flags: --no-strict-optional a, b = None, None # type: (A, B) a1, b1 = a, a # type: (A, B) # E: Incompatible types in assignment (expression has type "A", variable has type "B") a2, b2 = b, b # type: (A, B) # E: Incompatible types in assignment (expression has type "B", variable has type "A") a3, b3 = a # type: (A, B) # E: "A" object is not iterable a4, b4 = None # type: (A, B) # E: "None" object is not iterable a5, b5 = a, b, a # type: (A, B) # E: Too many values to unpack (2 expected, 3 provided) ax, bx = a, b # type: (A, B) class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testMultipleAssignmentWithNonTupleRvalue] a: A b: B def f(): pass a, b = None # E: "None" object is not iterable a, b = a # E: "A" object is not iterable a, b = f # E: "Callable[[], Any]" object is not iterable class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testMultipleAssignmentWithIndexedLvalues] a: A b: B aa: AA bb: BB a[a], b[b] = a, bb # E: Incompatible types in assignment (expression has type "A", target has type "AA") a[a], b[b] = aa, b # E: Incompatible types in assignment (expression has type "B", target has type "BB") a[aa], b[b] = aa, bb # E: Invalid index type "AA" for "A"; expected type "A" a[a], b[bb] = aa, bb # E: Invalid index type "BB" for "B"; expected type "B" a[a], b[b] = aa, bb class A: def __setitem__(self, x: 'A', y: 'AA') -> None: pass class B: def __setitem__(self, x: 'B', y: 'BB') -> None: pass class AA: pass class BB: pass [builtins fixtures/tuple.pyi] [case testMultipleDeclarationWithParentheses] # flags: --no-strict-optional (a, b) = (None, None) # type: int, str if int(): a = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") b = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): a = 1 b = '' [builtins fixtures/tuple.pyi] [case testMultipleAssignmentWithExtraParentheses] a: A b: B if int(): (a, b) = (a, a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): (a, b) = (b, b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): ((a), (b)) = ((a), (a)) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): ((a), (b)) = ((b), (b)) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): [a, b] = a, a # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): [a, b] = b, b # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): (a, b) = (a, b) if int(): ((a), (b)) = ((a), (b)) if int(): [a, b] = a, b class A: pass class B: pass [builtins fixtures/tuple.pyi] [case testMultipleAssignmentUsingSingleTupleType] # flags: --no-strict-optional from typing import Tuple a, b = None, None # type: Tuple[int, str] if int(): a = 1 if int(): b = '' if int(): a = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): b = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/tuple.pyi] [case testMultipleAssignmentWithMixedVariables] a = b, c = 1, 1 x, y = p, q = 1, 1 u, v, w = r, s = 1, 1 # E: Need more than 2 values to unpack (3 expected) d, e = f, g, h = 1, 1 # E: Need more than 2 values to unpack (3 expected) [builtins fixtures/tuple.pyi] [case testUnpackAssignmentWithStarExpr] a: A b: list[B] if int(): (a,) = (*b,) # E: Incompatible types in assignment (expression has type "B", variable has type "A") class A: pass class B: pass -- Assignment to starred expressions -- --------------------------------- [case testAssignmentToStarMissingAnnotation] from typing import List t = 1, 2 a, b, *c = 1, 2 # E: Need type annotation for "c" (hint: "c: list[] = ...") aa, bb, *cc = t # E: Need type annotation for "cc" (hint: "cc: list[] = ...") [builtins fixtures/list.pyi] [case testAssignmentToStarAnnotation] # flags: --no-strict-optional from typing import List li, lo = None, None # type: List[int], List[object] a, b, *c = 1, 2 # type: int, int, List[int] if int(): c = lo # E: Incompatible types in assignment (expression has type "list[object]", variable has type "list[int]") if int(): c = li [builtins fixtures/list.pyi] [case testAssignmentToStarCount1] from typing import List ca: List[int] c = [1] if int(): a, b, *c = 1, # E: Need more than 1 value to unpack (2 expected) if int(): a, b, *c = 1, 2 if int(): a, b, *c = 1, 2, 3 if int(): a, b, *c = 1, 2, 3, 4 [builtins fixtures/list.pyi] [case testAssignmentToStarCount2] from typing import List ca: List[int] t1 = 1, t2 = 1, 2 t3 = 1, 2, 3 t4 = 1, 2, 3, 4 c = [1] if int(): a, b, *c = t1 # E: Need more than 1 value to unpack (2 expected) if int(): a, b, *c = t2 if int(): a, b, *c = t3 if int(): a, b, *c = t4 [builtins fixtures/list.pyi] [case testAssignmentToStarFromAny] from typing import Any, cast class C: pass a, c = cast(Any, 1), C() p, *q = a c = a c = q [case testAssignmentToComplexStar] from typing import List li: List[int] if int(): a, *(li) = 1, a, *(b, c) = 1, 2 # E: Need more than 1 value to unpack (2 expected) if int(): a, *(b, c) = 1, 2, 3 if int(): a, *(b, c) = 1, 2, 3, 4 # E: Too many values to unpack (2 expected, 3 provided) [builtins fixtures/list.pyi] [case testAssignmentToStarFromTupleType] from typing import List, Tuple li: List[int] la: List[A] ta: Tuple[A, A, A] if int(): a, *la = ta if int(): a, *li = ta # E: List item 0 has incompatible type "A"; expected "int" \ # E: List item 1 has incompatible type "A"; expected "int" if int(): a, *na = ta if int(): na = la na = a # E: Incompatible types in assignment (expression has type "A", variable has type "list[A]") class A: pass [builtins fixtures/list.pyi] [case testAssignmentToStarFromTupleInference] from typing import List class A: pass li: List[int] la: List[A] a, *l = A(), A() if int(): l = li # E: Incompatible types in assignment (expression has type "list[int]", variable has type "list[A]") if int(): l = la [builtins fixtures/list.pyi] [out] [case testAssignmentToStarFromListInference] from typing import List class A: pass li: List[int] la: List[A] a, *l = [A(), A()] if int(): l = li # E: Incompatible types in assignment (expression has type "list[int]", variable has type "list[A]") if int(): l = la [builtins fixtures/list.pyi] [out] [case testAssignmentToStarFromTupleTypeInference] from typing import List, Tuple li: List[int] la: List[A] ta: Tuple[A, A, A] a, *l = ta if int(): l = li # E: Incompatible types in assignment (expression has type "list[int]", variable has type "list[A]") if int(): l = la class A: pass [builtins fixtures/list.pyi] [out] [case testAssignmentToStarFromListTypeInference] from typing import List li: List[int] la: List[A] a, *l = la if int(): l = li # E: Incompatible types in assignment (expression has type "list[int]", variable has type "list[A]") if int(): l = la class A: pass [builtins fixtures/list.pyi] [out] [case testAssignmentToStarFromIterable] from typing import List, Tuple, Iterable class CustomIterable(Iterable[int]): pass a: List[int] b: Tuple[int, ...] c: Tuple[int, int, int] d: Iterable[int] e: CustomIterable a1, *a2 = a b1, *b2 = b c1, *c2 = c d1, *d2 = d e1, *e2 = e reveal_type(a2) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(b2) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(c2) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(d2) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(e2) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/tuple.pyi] -- Nested tuple assignment -- ---------------------------- [case testNestedTupleAssignment1] a1: A a2: A b1: B b2: B c1: C c2: C if int(): a1, (b1, c1) = a2, (b2, c2) if int(): a1, (a1, (b1, c1)) = a2, (a2, (b2, c2)) if int(): a1, (a1, (a1, b1)) = a1, (a1, (a1, c1)) # E: Incompatible types in assignment (expression has type "C", variable has type "B") class A: pass class B: pass class C: pass [builtins fixtures/tuple.pyi] [case testNestedTupleAssignment2] a1: A a2: A b1: B b2: B c1: C c2: C t = a1, b1 if int(): a2, b2 = t if int(): (a2, b2), c2 = t, c1 if int(): (a2, c2), c2 = t, c1 # E: Incompatible types in assignment (expression has type "B", variable has type "C") if int(): t, c2 = (a2, b2), c2 if int(): t, c2 = (a2, a2), c2 # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "tuple[A, B]") if int(): t = a1, a1, a1 # E: Incompatible types in assignment (expression has type "tuple[A, A, A]", variable has type "tuple[A, B]") if int(): t = a1 # E: Incompatible types in assignment (expression has type "A", variable has type "tuple[A, B]") if int(): a2, a2, a2 = t # E: Need more than 2 values to unpack (3 expected) if int(): a2, = t # E: Too many values to unpack (1 expected, 2 provided) if int(): a2 = t # E: Incompatible types in assignment (expression has type "tuple[A, B]", variable has type "A") class A: pass class B: pass class C: pass [builtins fixtures/tuple.pyi] -- Error messages -- -------------- [case testTupleErrorMessages] class A: def __add__(self, x: 'A') -> 'A': pass def f(x: 'A') -> None: pass a: A (a, a) + a # E: Unsupported operand types for + ("tuple[A, A]" and "A") a + (a, a) # E: Unsupported operand types for + ("A" and "tuple[A, A]") f((a, a)) # E: Argument 1 to "f" has incompatible type "tuple[A, A]"; expected "A" (a, a).foo # E: "tuple[A, A]" has no attribute "foo" [builtins fixtures/tuple.pyi] [case testLargeTuplesInErrorMessages] a: LongTypeName a + (a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a, a) # Fail class LongTypeName: def __add__(self, x: 'LongTypeName') -> 'LongTypeName': pass [builtins fixtures/tuple.pyi] [out] main:3: error: Unsupported operand types for + ("LongTypeName" and "tuple[LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName, LongTypeName]") -- Tuple methods -- ------------- [case testTupleMethods] from typing import Tuple t: Tuple[int, str] i = 0 s = '' b = bool() if int(): s = t.__len__() # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): i = t.__str__() # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): i = s in t # E: Incompatible types in assignment (expression has type "bool", variable has type "int") t.foo # E: "tuple[int, str]" has no attribute "foo" if int(): i = t.__len__() if int(): s = t.__str__() if int(): b = s in t [file builtins.py] from typing import TypeVar, Generic _T = TypeVar('_T') class object: def __init__(self) -> None: pass class tuple(Generic[_T]): def __len__(self) -> int: pass def __str__(self) -> str: pass def __contains__(self, o: object) -> bool: pass class int: pass class str: pass class bool: pass class type: pass class function: pass class dict: pass -- For loop over tuple -- ------------------- [case testForLoopOverTuple] import typing t = 1, 2 for x in t: x = 1 x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/for.pyi] [case testForLoopOverEmptyTuple] import typing t = () for x in t: pass # E: Need type annotation for "x" [builtins fixtures/for.pyi] [case testForLoopOverNoneValuedTuple] import typing for x in None, None: pass [builtins fixtures/for.pyi] [case testForLoopOverTupleAndSubtyping] import typing class A: pass class B(A): pass for x in B(), A(): x = A() x = B() x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "A") [builtins fixtures/for.pyi] [case testTupleIterable] from typing import Iterable, Optional, TypeVar T = TypeVar("T") def sum(iterable: Iterable[T], start: Optional[T] = None) -> T: pass y = 'a' x = sum((1,2)) if int(): y = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") [builtins fixtures/tuple.pyi] -- Tuple as a base type -- -------------------- [case testTupleBaseClass] import m [file m.pyi] from typing import Tuple class A(Tuple[int, str]): def f(self, x: int) -> None: a, b = 1, '' if int(): a, b = self b, a = self # Error self.f('') # Error [builtins fixtures/tuple.pyi] [out] tmp/m.pyi:7: error: Incompatible types in assignment (expression has type "int", variable has type "str") tmp/m.pyi:7: error: Incompatible types in assignment (expression has type "str", variable has type "int") tmp/m.pyi:8: error: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" [case testValidTupleBaseClass2] from typing import Tuple class A(Tuple[int, str]): pass x, y = A() reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.str" x1 = A()[0] # type: int x2 = A()[1] # type: int # E: Incompatible types in assignment (expression has type "str", variable has type "int") A()[2] # E: Tuple index out of range class B(Tuple[int, ...]): pass z1 = B()[0] # type: int z2 = B()[1] # type: str # E: Incompatible types in assignment (expression has type "int", variable has type "str") B()[100] [builtins fixtures/tuple.pyi] [out] [case testValidTupleBaseClass] from typing import Tuple class A(tuple): pass [builtins fixtures/tuple.pyi] [out] [case testTupleBaseClass2] import m [file m.pyi] from typing import Tuple a: A class A(Tuple[int, str]): pass x, y = a x() # E: "int" not callable y() # E: "str" not callable [builtins fixtures/tuple.pyi] [out] [case testGenericClassWithTupleBaseClass] from typing import TypeVar, Generic, Tuple T = TypeVar('T') class Test(Generic[T], Tuple[T]): pass x = Test() # type: Test[int] reveal_type(x) # N: Revealed type is "tuple[builtins.int, fallback=__main__.Test[builtins.int]]" [builtins fixtures/tuple.pyi] [out] -- Variable-length tuples (Tuple[t, ...] with literal '...') -- --------------------------------------------------------- [case testIndexingVariableLengthTuple] from typing import Tuple x = () # type: Tuple[str, ...] n = 5 x[n]() # E: "str" not callable x[3]() # E: "str" not callable [builtins fixtures/tuple.pyi] [case testSubtypingVariableLengthTuple] from typing import Tuple class A: pass class B(A): pass def fa(t: Tuple[A, ...]) -> None: pass def fb(t: Tuple[B, ...]) -> None: pass ta = () # type: Tuple[A, ...] tb = () # type: Tuple[B, ...] fa(ta) fa(tb) fb(tb) fb(ta) # E: Argument 1 to "fb" has incompatible type "tuple[A, ...]"; expected "tuple[B, ...]" [builtins fixtures/tuple.pyi] [case testSubtypingFixedAndVariableLengthTuples] from typing import Tuple class A: pass class B(A): pass def fa(t: Tuple[A, ...]) -> None: pass def fb(t: Tuple[B, ...]) -> None: pass aa = (A(), A()) ab = (A(), B()) bb = (B(), B()) fa(aa) fa(ab) fa(bb) fb(bb) fb(ab) # E: Argument 1 to "fb" has incompatible type "tuple[A, B]"; expected "tuple[B, ...]" fb(aa) # E: Argument 1 to "fb" has incompatible type "tuple[A, A]"; expected "tuple[B, ...]" [builtins fixtures/tuple.pyi] [case testSubtypingTupleIsContainer] from typing import Container a: Container[str] a = () [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [case testSubtypingTupleIsSized] from typing import Sized a: Sized a = () [typing fixtures/typing-medium.pyi] [builtins fixtures/tuple.pyi] [case testTupleWithStarExpr1] a = (1, 2) b = (*a, '') reveal_type(b) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testTupleWithStarExpr2] a = [1] b = (0, *a) reveal_type(b) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [case testTupleWithStarExpr2Precise] # flags: --enable-incomplete-feature=PreciseTupleTypes a = [1] b = (0, *a) reveal_type(b) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.int, ...]]]" [builtins fixtures/tuple.pyi] [case testTupleWithStarExpr3] a = [''] b = (0, *a) reveal_type(b) # N: Revealed type is "builtins.tuple[builtins.object, ...]" c = (*a, '') reveal_type(c) # N: Revealed type is "builtins.tuple[builtins.str, ...]" [builtins fixtures/tuple.pyi] [case testTupleWithStarExpr3Precise] # flags: --enable-incomplete-feature=PreciseTupleTypes a = [''] b = (0, *a) reveal_type(b) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.str, ...]]]" c = (*a, '') reveal_type(c) # N: Revealed type is "tuple[Unpack[builtins.tuple[builtins.str, ...]], builtins.str]" [builtins fixtures/tuple.pyi] [case testTupleWithStarExpr4] a = (1, 1, 'x', 'x') b = (1, 'x') a = (0, *b, '') [builtins fixtures/tuple.pyi] [case testUnpackSyntaxError] *foo # E: can't use starred expression here [builtins fixtures/tuple.pyi] [case testUnpackBases] class A: ... class B: ... bases = (A, B) class C(*bases): ... # E: Invalid base class [builtins fixtures/tuple.pyi] [case testTupleMeetTupleAny] from typing import Union, Tuple class A: pass class B: pass def f(x: Union[B, Tuple[A, A]]) -> None: if isinstance(x, tuple): reveal_type(x) # N: Revealed type is "tuple[__main__.A, __main__.A]" else: reveal_type(x) # N: Revealed type is "__main__.B" def g(x: Union[str, Tuple[str, str]]) -> None: if isinstance(x, tuple): reveal_type(x) # N: Revealed type is "tuple[builtins.str, builtins.str]" else: reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [out] [case testTupleMeetTupleAnyComplex] from typing import Tuple, Union Pair = Tuple[int, int] Variant = Union[int, Pair] def tuplify(v: Variant) -> None: reveal_type(v) # N: Revealed type is "Union[builtins.int, tuple[builtins.int, builtins.int]]" if not isinstance(v, tuple): reveal_type(v) # N: Revealed type is "builtins.int" v = (v, v) reveal_type(v) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(v) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(v[0]) # N: Revealed type is "builtins.int" Pair2 = Tuple[int, str] Variant2 = Union[int, Pair2] def tuplify2(v: Variant2) -> None: if isinstance(v, tuple): reveal_type(v) # N: Revealed type is "tuple[builtins.int, builtins.str]" else: reveal_type(v) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [out] [case testTupleMeetTupleAnyAfter] from typing import Tuple, Union def good(blah: Union[Tuple[int, int], int]) -> None: reveal_type(blah) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], builtins.int]" if isinstance(blah, tuple): reveal_type(blah) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(blah) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], builtins.int]" [builtins fixtures/tuple.pyi] [out] [case testTupleMeetTupleVariable] from typing import Tuple, TypeVar, Generic, Union T = TypeVar('T') class A: pass class B1(A): pass class B2(A): pass class C: pass x: Tuple[A, ...] y: Tuple[Union[B1, C], Union[B2, C]] def g(x: T) -> Tuple[T, T]: return (x, x) z = 1 x, y = g(z) # E: Argument 1 to "g" has incompatible type "int"; expected "tuple[B1, B2]" [builtins fixtures/tuple.pyi] [out] [case testFixedTupleJoinVarTuple] from typing import Tuple, TypeVar class A: pass class B(A): pass fixtup: Tuple[B, B] T = TypeVar("T") def join(x: T, y: T) -> T: ... vartup_b: Tuple[B, ...] reveal_type(join(fixtup, vartup_b)) # N: Revealed type is "builtins.tuple[__main__.B, ...]" reveal_type(join(vartup_b, fixtup)) # N: Revealed type is "builtins.tuple[__main__.B, ...]" vartup_a: Tuple[A, ...] reveal_type(join(fixtup, vartup_a)) # N: Revealed type is "builtins.tuple[__main__.A, ...]" reveal_type(join(vartup_a, fixtup)) # N: Revealed type is "builtins.tuple[__main__.A, ...]" [builtins fixtures/tuple.pyi] [out] [case testFixedTupleJoinList] from typing import Tuple, List, TypeVar class A: pass class B(A): pass fixtup: Tuple[B, B] T = TypeVar("T") def join(x: T, y: T) -> T: ... lst_b: List[B] reveal_type(join(fixtup, lst_b)) # N: Revealed type is "typing.Sequence[__main__.B]" reveal_type(join(lst_b, fixtup)) # N: Revealed type is "typing.Sequence[__main__.B]" lst_a: List[A] reveal_type(join(fixtup, lst_a)) # N: Revealed type is "typing.Sequence[__main__.A]" reveal_type(join(lst_a, fixtup)) # N: Revealed type is "typing.Sequence[__main__.A]" [builtins fixtures/tuple.pyi] [out] [case testEmptyTupleJoin] from typing import Tuple, List, TypeVar class A: pass empty = () T = TypeVar("T") def join(x: T, y: T) -> T: ... fixtup: Tuple[A] reveal_type(join(fixtup, empty)) # N: Revealed type is "builtins.tuple[__main__.A, ...]" reveal_type(join(empty, fixtup)) # N: Revealed type is "builtins.tuple[__main__.A, ...]" vartup: Tuple[A, ...] reveal_type(join(vartup, empty)) # N: Revealed type is "builtins.tuple[__main__.A, ...]" reveal_type(join(empty, vartup)) # N: Revealed type is "builtins.tuple[__main__.A, ...]" lst: List[A] reveal_type(join(empty, lst)) # N: Revealed type is "typing.Sequence[__main__.A]" reveal_type(join(lst, empty)) # N: Revealed type is "typing.Sequence[__main__.A]" [builtins fixtures/tuple.pyi] [out] [case testTupleSubclassJoin] from typing import Tuple, NamedTuple, TypeVar class NTup(NamedTuple): a: bool b: bool class SubTuple(Tuple[bool]): ... class SubVarTuple(Tuple[int, ...]): ... ntup: NTup subtup: SubTuple vartup: SubVarTuple T = TypeVar("T") def join(x: T, y: T) -> T: ... reveal_type(join(ntup, vartup)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(join(subtup, vartup)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [out] [case testTupleJoinIrregular] from typing import Tuple, TypeVar tup1: Tuple[bool, int] tup2: Tuple[bool] T = TypeVar("T") def join(x: T, y: T) -> T: ... reveal_type(join(tup1, tup2)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(join(tup2, tup1)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(join(tup1, ())) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(join((), tup1)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(join(tup2, ())) # N: Revealed type is "builtins.tuple[builtins.bool, ...]" reveal_type(join((), tup2)) # N: Revealed type is "builtins.tuple[builtins.bool, ...]" [builtins fixtures/tuple.pyi] [out] [case testTupleSubclassJoinIrregular] from typing import Tuple, NamedTuple, TypeVar class NTup1(NamedTuple): a: bool class NTup2(NamedTuple): a: bool b: bool class SubTuple(Tuple[bool, int, int]): ... tup1: NTup1 tup2: NTup2 subtup: SubTuple T = TypeVar("T") def join(x: T, y: T) -> T: ... reveal_type(join(tup1, tup2)) # N: Revealed type is "builtins.tuple[builtins.bool, ...]" reveal_type(join(tup2, tup1)) # N: Revealed type is "builtins.tuple[builtins.bool, ...]" reveal_type(join(tup1, subtup)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(join(subtup, tup1)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(join(tup2, subtup)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(join(subtup, tup2)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [out] [case testTupleWithUndersizedContext] a = ([1], 'x') if int(): a = ([], 'x', 1) # E: Incompatible types in assignment (expression has type "tuple[list[Never], str, int]", variable has type "tuple[list[int], str]") [builtins fixtures/tuple.pyi] [case testTupleWithOversizedContext] a = (1, [1], 'x') if int(): a = (1, []) # E: Incompatible types in assignment (expression has type "tuple[int, list[int]]", variable has type "tuple[int, list[int], str]") [builtins fixtures/tuple.pyi] [case testTupleWithoutContext] a = (1, []) # E: Need type annotation for "a" [builtins fixtures/tuple.pyi] [case testTupleWithUnionContext] from typing import List, Union, Tuple def f() -> Union[int, Tuple[List[str]]]: return ([],) [builtins fixtures/tuple.pyi] [case testTupleWithVariableSizedTupleContext] from typing import List, Tuple def f() -> Tuple[List[str], ...]: return ([],) [builtins fixtures/tuple.pyi] [case testTupleWithoutArgs] from typing import Tuple def f(a: Tuple) -> None: pass f(()) f((1,)) f(('', '')) f(0) # E: Argument 1 to "f" has incompatible type "int"; expected "tuple[Any, ...]" [builtins fixtures/tuple.pyi] [case testTupleSingleton] from typing import Tuple def f(a: Tuple[()]) -> None: pass f(()) f((1,)) # E: Argument 1 to "f" has incompatible type "tuple[int]"; expected "tuple[()]" f(('', '')) # E: Argument 1 to "f" has incompatible type "tuple[str, str]"; expected "tuple[()]" f(0) # E: Argument 1 to "f" has incompatible type "int"; expected "tuple[()]" [builtins fixtures/tuple.pyi] [case testNonliteralTupleIndex] t = (0, "") x = 0 y = "" reveal_type(t[x]) # N: Revealed type is "Union[builtins.int, builtins.str]" t[y] # E: No overload variant of "__getitem__" of "tuple" matches argument type "str" \ # N: Possible overload variants: \ # N: def __getitem__(self, int, /) -> Union[int, str] \ # N: def __getitem__(self, slice, /) -> tuple[Union[int, str], ...] [builtins fixtures/tuple.pyi] [case testNonliteralTupleSlice] t = (0, "") x = 0 y = "" reveal_type(t[x:]) # N: Revealed type is "builtins.tuple[Union[builtins.int, builtins.str], ...]" t[y:] # E: Slice index must be an integer, SupportsIndex or None [builtins fixtures/tuple.pyi] [case testTupleSliceStepZeroNoCrash] # This was crashing: https://github.com/python/mypy/issues/18062 # TODO: emit better error when 0 is used for step ()[::0] # E: Ambiguous slice of a variadic tuple [builtins fixtures/tuple.pyi] [case testInferTupleTypeFallbackAgainstInstance] from typing import TypeVar, Generic, Tuple T = TypeVar('T') class Base(Generic[T]): pass def f(x: Base[T]) -> T: pass class DT(Tuple[str, str], Base[int]): pass reveal_type(f(DT())) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [out] [case testTypeTupleClassmethod] from typing import Tuple, Type class C(Tuple[int, str]): @classmethod def f(cls) -> None: pass t: Type[C] t.g() # E: "type[C]" has no attribute "g" t.f() [builtins fixtures/classmethod.pyi] [case testTypeTupleCall] from typing import Tuple def foo(o: CallableTuple) -> int: reveal_type(o) # N: Revealed type is "tuple[builtins.str, builtins.int, fallback=__main__.CallableTuple]" return o(1, 2) class CallableTuple(Tuple[str, int]): def __call__(self, n: int, m: int) -> int: return n [builtins fixtures/tuple.pyi] [case testTypeTupleGenericCall] from typing import Generic, Tuple, TypeVar T = TypeVar('T') def foo(o: CallableTuple[int]) -> int: reveal_type(o) # N: Revealed type is "tuple[builtins.str, builtins.int, fallback=__main__.CallableTuple[builtins.int]]" reveal_type(o.count(3)) # N: Revealed type is "builtins.int" return o(1, 2) class CallableTuple(Tuple[str, T]): def __call__(self, n: int, m: int) -> int: return n [builtins fixtures/tuple.pyi] [case testTupleCompatibleWithSequence] from typing import Sequence s: Sequence[str] s = tuple() reveal_type(s) # N: Revealed type is "builtins.tuple[builtins.str, ...]" [builtins fixtures/tuple.pyi] [case testTupleInstanceCompatibleWithIterable] from typing import Iterable, Tuple x: Iterable[int] = () y: Tuple[int, ...] = (1, 2, 3) x = y reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [case testTupleTypeCompatibleWithIterable] from typing import Iterable, Tuple x: Iterable[int] = () y: Tuple[int, int] = (1, 2) x = y reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/tuple.pyi] [case testTupleOverlapDifferentTuples] from typing import Optional, Tuple class A: pass class B: pass possibles: Tuple[int, Tuple[A]] x: Optional[Tuple[B]] if x in possibles: reveal_type(x) # N: Revealed type is "tuple[__main__.B]" else: reveal_type(x) # N: Revealed type is "Union[tuple[__main__.B], None]" [builtins fixtures/tuple.pyi] [case testUnionOfTupleIndex] from typing import Union, Tuple tup: Union[Tuple[int, str], Tuple[int, int, str]] reveal_type(tup[0]) # N: Revealed type is "builtins.int" reveal_type(tup[1]) # N: Revealed type is "Union[builtins.str, builtins.int]" reveal_type(tup[2]) # E: Tuple index out of range \ # N: Revealed type is "Union[Any, builtins.str]" reveal_type(tup[:]) # N: Revealed type is "Union[tuple[builtins.int, builtins.str], tuple[builtins.int, builtins.int, builtins.str]]" [builtins fixtures/tuple.pyi] [case testUnionOfTupleIndexMixed] from typing import Union, Tuple, List tup: Union[Tuple[int, str], List[int]] reveal_type(tup[0]) # N: Revealed type is "builtins.int" reveal_type(tup[1]) # N: Revealed type is "Union[builtins.str, builtins.int]" reveal_type(tup[2]) # E: Tuple index out of range \ # N: Revealed type is "Union[Any, builtins.int]" reveal_type(tup[:]) # N: Revealed type is "Union[tuple[builtins.int, builtins.str], builtins.list[builtins.int]]" [builtins fixtures/tuple.pyi] [case testFixedLengthTupleConcatenation] a = (1, "foo", 3) b = ("bar", 7) reveal_type(a + b) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.int, builtins.str, builtins.int]" [builtins fixtures/tuple.pyi] [case testAssigningWithLongTupleInitializer] from typing import Tuple # long initializer assignment with few mismatches t: Tuple[int, ...] = (1, 2, 3, 4, 5, 6, 7, 8, "str", "str", "str", 11) # E: Incompatible types in assignment (3 tuple items are incompatible) \ # N: Expression tuple item 8 has type "str"; "int" expected; \ # N: Expression tuple item 9 has type "str"; "int" expected; \ # N: Expression tuple item 10 has type "str"; "int" expected; # long initializer assignment with more mismatches t1: Tuple[int, ...] = (1, 2, 3, 4, 5, 6, 7, 8, "str", "str", "str", "str") # E: Incompatible types in assignment (4 tuple items are incompatible; 1 items are omitted) \ # N: Expression tuple item 8 has type "str"; "int" expected; \ # N: Expression tuple item 9 has type "str"; "int" expected; \ # N: Expression tuple item 10 has type "str"; "int" expected; # short tuple initializer assignment t2: Tuple[int, ...] = (1, 2, "s", 4) # E: Incompatible types in assignment (expression has type "tuple[int, int, str, int]", variable has type "tuple[int, ...]") # long initializer assignment with few mismatches, no ellipsis t3: Tuple[int, int, int, int, int, int, int, int, int, int, int, int] = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, "str", "str") # E: Incompatible types in assignment (2 tuple items are incompatible) \ # N: Expression tuple item 10 has type "str"; "int" expected; \ # N: Expression tuple item 11 has type "str"; "int" expected; # long initializer assignment with more mismatches, no ellipsis t4: Tuple[int, int, int, int, int, int, int, int, int, int, int, int] = (1, 2, 3, 4, 5, 6, 7, 8, "str", "str", "str", "str") # E: Incompatible types in assignment (4 tuple items are incompatible; 1 items are omitted) \ # N: Expression tuple item 8 has type "str"; "int" expected; \ # N: Expression tuple item 9 has type "str"; "int" expected; \ # N: Expression tuple item 10 has type "str"; "int" expected; # short tuple initializer assignment, no ellipsis t5: Tuple[int, int] = (1, 2, "s", 4) # E: Incompatible types in assignment (expression has type "tuple[int, int, str, int]", variable has type "tuple[int, int]") # long initializer assignment with mismatched pairs t6: Tuple[int, int, int, int, int, int, int, int, int, int, int, int] = (1, 2, 3, 4, 5, 6, 7, 8, "str", "str", "str", "str", 1, 1, 1, 1, 1) # E: Incompatible types in assignment (expression has type "tuple[int, int, ... <15 more items>]", variable has type "tuple[int, int, ... <10 more items>]") [builtins fixtures/tuple.pyi] [case testPropertyLongTupleReturnTypeMismatchUnion] from typing import Tuple, Union class A: a: str b: str c: str d: str e: str f: str g: Union[str, int] h: Union[str, float] i: Union[str, None] j: Union[str, None] k: Union[str, None] l: Union[str, None] @property def x(self) -> Tuple[str, str, str, str, str, str, str, str, str, str, str, str]: return ( self.a, self.b, self.c, self.d, self.e, self.f, self.g, self.h, self.i, self.j, self.k, self.l, ) [out] main:18: error: Incompatible return value type (6 tuple items are incompatible; 3 items are omitted) main:18: note: Expression tuple item 6 has type "Union[str, int]"; "str" expected; main:18: note: Expression tuple item 7 has type "Union[str, float]"; "str" expected; main:18: note: Expression tuple item 8 has type "Optional[str]"; "str" expected; [builtins fixtures/property.pyi] [case testPropertyLongTupleReturnTypeMismatchUnionWiderExpected] from typing import Tuple, Union class A: a: str b: str c: str d: str e: str f: str g: str h: str i: str j: str k: str l: Union[float, int] @property def x(self) -> Tuple[Union[str, int], Union[str, float], int, Union[str, None], Union[str, None], Union[str, None], str, str, str, str, str, str]: return ( self.a, self.b, self.c, self.d, self.e, self.f, self.g, self.h, self.i, self.j, self.k, self.l, ) [out] main:18: error: Incompatible return value type (2 tuple items are incompatible) main:18: note: Expression tuple item 2 has type "str"; "int" expected; main:18: note: Expression tuple item 11 has type "Union[float, int]"; "str" expected; [builtins fixtures/property.pyi] [case testTupleWithStarExpr] from typing import Tuple, List points = (1, "test") # type: Tuple[int, str] x, y, z = *points, 0 reveal_type(x) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "builtins.str" reveal_type(z) # N: Revealed type is "builtins.int" points2 = [1,2] x2, y2, z2= *points2, "test" reveal_type(x2) # N: Revealed type is "builtins.int" reveal_type(y2) # N: Revealed type is "builtins.int" reveal_type(z2) # N: Revealed type is "builtins.str" x3, x4, y3, y4, z3 = *points, *points2, "test" reveal_type(x3) # N: Revealed type is "builtins.int" reveal_type(x4) # N: Revealed type is "builtins.str" reveal_type(y3) # N: Revealed type is "builtins.int" reveal_type(y4) # N: Revealed type is "builtins.int" reveal_type(z3) # N: Revealed type is "builtins.str" x5, x6, y5, y6, z4 = *points2, *points2, "test" reveal_type(x5) # N: Revealed type is "builtins.int" reveal_type(x6) # N: Revealed type is "builtins.int" reveal_type(y5) # N: Revealed type is "builtins.int" reveal_type(y6) # N: Revealed type is "builtins.int" reveal_type(z4) # N: Revealed type is "builtins.str" points3 = ["test1", "test2"] x7, x8, y7, y8 = *points2, *points3 # E: Contiguous iterable with same type expected x9, y9, x10, y10, z5 = *points2, 1, *points2 # E: Contiguous iterable with same type expected [builtins fixtures/tuple.pyi] [case testAssignEmpty] () = [] [case testAssignEmptyBogus] () = 1 # E: "int" object is not iterable [builtins fixtures/tuple.pyi] [case testMultiplyTupleByIntegerLiteral] from typing import Tuple t = ('',) * 2 reveal_type(t) # N: Revealed type is "tuple[builtins.str, builtins.str]" t2 = ('',) * -1 reveal_type(t2) # N: Revealed type is "tuple[()]" t3 = ('', 1) * 2 reveal_type(t3) # N: Revealed type is "tuple[builtins.str, builtins.int, builtins.str, builtins.int]" def f() -> Tuple[str, ...]: return ('', ) reveal_type(f() * 2) # N: Revealed type is "builtins.tuple[builtins.str, ...]" [builtins fixtures/tuple.pyi] [case testEmptyTupleTypeRepr] from typing import Tuple def f() -> Tuple[()]: ... reveal_type(f) # N: Revealed type is "def () -> tuple[()]" reveal_type(f()) # N: Revealed type is "tuple[()]" [builtins fixtures/tuple.pyi] [case testMultiplyTupleByIntegerLiteralReverse] from typing import Tuple t = 2 * ('',) reveal_type(t) # N: Revealed type is "tuple[builtins.str, builtins.str]" t2 = -1 * ('',) reveal_type(t2) # N: Revealed type is "tuple[()]" t3 = 2 * ('', 1) reveal_type(t3) # N: Revealed type is "tuple[builtins.str, builtins.int, builtins.str, builtins.int]" def f() -> Tuple[str, ...]: return ('', ) reveal_type(2 * f()) # N: Revealed type is "builtins.tuple[builtins.str, ...]" [builtins fixtures/tuple.pyi] [case testSingleUndefinedTypeAndTuple] from typing import Tuple class Foo: ... class Bar(aaaaaaaaaa): # E: Name "aaaaaaaaaa" is not defined ... class FooBarTuple(Tuple[Foo, Bar]): ... [builtins fixtures/tuple.pyi] [case testMultipleUndefinedTypeAndTuple] from typing import Tuple class Foo(aaaaaaaaaa): # E: Name "aaaaaaaaaa" is not defined ... class Bar(aaaaaaaaaa): # E: Name "aaaaaaaaaa" is not defined ... class FooBarTuple(Tuple[Foo, Bar]): ... [builtins fixtures/tuple.pyi] [case testTupleOverloadZipAny] from typing import Any, Iterable, Iterator, Tuple, TypeVar, overload T = TypeVar("T") @overload def zip(__i: Iterable[T]) -> Iterator[Tuple[T]]: ... @overload def zip(*i: Iterable[Any]) -> Iterator[Tuple[Any, ...]]: ... def zip(i): ... def g(t: Tuple): reveal_type(zip(*t)) # N: Revealed type is "typing.Iterator[builtins.tuple[Any, ...]]" reveal_type(zip(t)) # N: Revealed type is "typing.Iterator[tuple[Any]]" [builtins fixtures/tuple.pyi] [case testTupleSubclassSlice] from typing import Tuple class A: ... class tuple_aa_subclass(Tuple[A, A]): ... inst_tuple_aa_subclass: tuple_aa_subclass = tuple_aa_subclass((A(), A()))[:] # E: Incompatible types in assignment (expression has type "tuple[A, A]", variable has type "tuple_aa_subclass") [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-type-aliases.test0000644000175100017510000012447515112307767021515 0ustar00runnerrunner[case testSimpleTypeAlias] import typing i = int def f(x: i) -> None: pass f(1) f('') # E: Argument 1 to "f" has incompatible type "str"; expected "int" [targets __main__, __main__.f] [case testUnionTypeAlias] from typing import Union U = Union[int, str] def f(x: U) -> None: pass f(1) f('') f(()) # E: Argument 1 to "f" has incompatible type "tuple[()]"; expected "Union[int, str]" [targets __main__, __main__.f] [builtins fixtures/tuple.pyi] [case testTupleTypeAlias] from typing import Tuple T = Tuple[int, str] def f(x: T) -> None: pass f((1, 'x')) f(1) # E: Argument 1 to "f" has incompatible type "int"; expected "tuple[int, str]" [targets __main__, __main__.f] [builtins fixtures/tuple.pyi] [case testCallableTypeAlias] from typing import Callable A = Callable[[int], None] f: A f(1) f('') # E: Argument 1 has incompatible type "str"; expected "int" [targets __main__] [case testListTypeAlias] from typing import List A = List[int] def f(x: A) -> None: pass f([1]) f(['x']) # E: List item 0 has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] [targets __main__, __main__.f] [case testAnyTypeAlias] from typing import Any A = Any def f(x: A) -> None: x.foo() f(1) f('x') [case testNoReturnTypeAlias] # https://github.com/python/mypy/issues/11903 from typing import NoReturn Never = NoReturn a: Never # Used to be an error here def f(a: Never): ... f(5) # E: Argument 1 to "f" has incompatible type "int"; expected "Never" [case testImportUnionAlias] import typing from _m import U def f(x: U) -> None: pass f(1) f('x') f(()) # E: Argument 1 to "f" has incompatible type "tuple[()]"; expected "Union[int, str]" [file _m.py] from typing import Union U = Union[int, str] [builtins fixtures/tuple.pyi] [case testProhibitReassigningAliases] A = float if int(): A = int # E: Cannot assign multiple types to name "A" without an explicit "type[...]" annotation [out] [case testProhibitReassigningSubscriptedAliases] from typing import Callable A = Callable[[], float] if int(): A = Callable[[], int] \ # E: Cannot assign multiple types to name "A" without an explicit "type[...]" annotation \ # E: Value of type "int" is not indexable # the second error is because of `Callable = 0` in lib-stub/typing.pyi [builtins fixtures/list.pyi] [out] [case testProhibitReassigningGenericAliases] from typing import TypeVar, Union, Tuple T = TypeVar('T') A = Tuple[T, T] if int(): A = Union[T, int] # E: Cannot assign multiple types to name "A" without an explicit "type[...]" annotation [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testProhibitUsingVariablesAsTypesAndAllowAliasesAsTypes] from typing import TypeVar, Sequence, Type T = TypeVar('T') A: Type[float] = int if int(): A = float # OK x: A # E: Variable "__main__.A" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases def bad(tp: A) -> None: # E: Variable "__main__.A" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases pass Alias = int GenAlias = Sequence[T] def fun(x: Alias) -> GenAlias[int]: pass [out] [case testCorrectQualifiedAliasesAlsoInFunctions] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class X(Generic[T]): A = X[S] def f(self) -> X[T]: pass a: X[T] b: A = a c: A[T] = a d: A[int] = a # E: Incompatible types in assignment (expression has type "X[T]", variable has type "X[int]") def g(self) -> None: a: X[T] b: X.A = a c: X.A[T] = a d: X.A[int] = a # E: Incompatible types in assignment (expression has type "X[T]", variable has type "X[int]") def g(arg: X[int]) -> None: p: X[int] = arg.f() q: X.A = arg.f() r: X.A[str] = arg.f() # E: Incompatible types in assignment (expression has type "X[int]", variable has type "X[str]") [out] [case testProhibitBoundTypeVariableReuseForAliases] from typing import TypeVar, Generic, List T = TypeVar('T') class C(Generic[T]): A = List[T] # E: Can't use bound type variable "T" to define generic alias x: C.A reveal_type(x) # N: Revealed type is "builtins.list[Any]" def f(x: T) -> T: A = List[T] # E: Can't use bound type variable "T" to define generic alias return x [builtins fixtures/list.pyi] [out] [case testTypeAliasInBuiltins] def f(x: bytes): pass bytes f(1) # E: Argument 1 to "f" has incompatible type "int"; expected "str" [builtins fixtures/alias.pyi] [case testEmptyTupleTypeAlias] from typing import Tuple, Callable EmptyTuple = Tuple[()] x: EmptyTuple reveal_type(x) # N: Revealed type is "tuple[()]" EmptyTupleCallable = Callable[[Tuple[()]], None] f: EmptyTupleCallable reveal_type(f) # N: Revealed type is "def (tuple[()])" [builtins fixtures/list.pyi] [case testForwardTypeAlias] def f(p: 'Alias') -> None: pass reveal_type(f) # N: Revealed type is "def (p: builtins.int)" Alias = int [out] [case testForwardTypeAliasGeneric] from typing import TypeVar, Tuple def f(p: 'Alias[str]') -> None: pass reveal_type(f) # N: Revealed type is "def (p: tuple[builtins.int, builtins.str])" T = TypeVar('T') Alias = Tuple[int, T] [builtins fixtures/tuple.pyi] [out] [case testRecursiveAliasesErrors1] from typing import Type, Callable, Union def test() -> None: A = Union[A, int] # E: Cannot resolve name "A" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope B = Callable[[B], int] # E: Cannot resolve name "B" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope C = Type[C] # E: Cannot resolve name "C" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope [case testRecursiveAliasesErrors2] # flags: --disable-error-code=used-before-def from typing import Type, Callable, Union def test() -> None: A = Union[B, int] B = Callable[[C], int] C = Type[A] x: A reveal_type(x) [out] main:5: error: Cannot resolve name "A" (possible cyclic definition) main:5: note: Recursive types are not allowed at function scope main:5: error: Cannot resolve name "B" (possible cyclic definition) main:6: error: Cannot resolve name "B" (possible cyclic definition) main:6: note: Recursive types are not allowed at function scope main:6: error: Cannot resolve name "C" (possible cyclic definition) main:7: error: Cannot resolve name "C" (possible cyclic definition) main:7: note: Recursive types are not allowed at function scope main:9: note: Revealed type is "Union[Any, builtins.int]" [case testDoubleForwardAlias] # flags: --disable-error-code=used-before-def from typing import List x: A A = List[B] B = List[int] reveal_type(x) # N: Revealed type is "builtins.list[builtins.list[builtins.int]]" [builtins fixtures/list.pyi] [out] [case testDoubleForwardAliasWithNamedTuple] # flags: --disable-error-code=used-before-def from typing import List, NamedTuple x: A A = List[B] class B(NamedTuple): x: str reveal_type(x[0].x) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [out] [case testJSONAliasApproximation] from typing import List, Union, Dict def test() -> None: x: JSON # E: Cannot resolve name "JSON" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope JSON = Union[int, str, List[JSON], Dict[str, JSON]] # E: Cannot resolve name "JSON" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope reveal_type(x) # N: Revealed type is "Any" if isinstance(x, list): reveal_type(x) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/isinstancelist.pyi] [out] [case testForwardRefToTypeVar] # flags: --disable-error-code=used-before-def from typing import TypeVar, List reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" a: A[int] A = List[T] T = TypeVar('T') [builtins fixtures/list.pyi] [out] [case testFunctionForwardRefAlias] from typing import List, TypeVar T = TypeVar('T') def f(x: T) -> List[T]: y: A[T] reveal_type(y) # N: Revealed type is "builtins.list[T`-1]" return [x] + y A = List[T] [builtins fixtures/list.pyi] [out] [case testFunctionForwardRefAlias2] from typing import List, TypeVar def f() -> None: X = List[int] x: A[X] reveal_type(x) # N: Revealed type is "builtins.list[builtins.list[builtins.int]]" T = TypeVar('T') A = List[T] [builtins fixtures/list.pyi] [out] [case testNoneAlias] from typing import Union void = type(None) x: void reveal_type(x) # N: Revealed type is "None" y: Union[int, void] reveal_type(y) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/bool.pyi] [case testNoneAliasStrict] from typing import Optional, Union void = type(None) x: int y: Union[int, void] z: Optional[int] x = y # E: Incompatible types in assignment (expression has type "Optional[int]", variable has type "int") y = z [builtins fixtures/bool.pyi] [case testAliasToTupleAndCallable] from typing import Callable, Tuple C = Callable T = Tuple c: C t: T reveal_type(c) # N: Revealed type is "def (*Any, **Any) -> Any" reveal_type(t) # N: Revealed type is "builtins.tuple[Any, ...]" bad: C[int] # E: Bad number of arguments for type alias, expected 0, given 1 also_bad: T[int] # E: Bad number of arguments for type alias, expected 0, given 1 [builtins fixtures/tuple.pyi] [case testAliasRefOnClass] from typing import Generic, TypeVar, Type T = TypeVar('T') class C(Generic[T]): pass class N: A = C[T] B = C[int] x: N.A[C] reveal_type(x) # N: Revealed type is "__main__.C[__main__.C[Any]]" xx = N.A[C]() reveal_type(xx) # N: Revealed type is "__main__.C[__main__.C[Any]]" y = N.A() reveal_type(y) # N: Revealed type is "__main__.C[Any]" M = N b = M.A[int]() reveal_type(b) # N: Revealed type is "__main__.C[builtins.int]" n: Type[N] w = n.B() reveal_type(w) # N: Revealed type is "__main__.C[builtins.int]" [out] [case testTypeAliasesToNamedTuple] from nt import C, D, E A1 = C A2 = D A3 = E class Cls: A1 = C A2 = D A3 = E A1('no') # E: Argument 1 to "C" has incompatible type "str"; expected "int" a1 = A1(1) reveal_type(a1) # N: Revealed type is "tuple[builtins.int, fallback=nt.C]" A2(0) # E: Argument 1 to "D" has incompatible type "int"; expected "str" a2 = A2('yes') reveal_type(a2) # N: Revealed type is "tuple[builtins.str, fallback=nt.D]" a3 = A3() reveal_type(a3) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=nt.E]" Cls.A1('no') # E: Argument 1 has incompatible type "str"; expected "int" ca1 = Cls.A1(1) reveal_type(ca1) # N: Revealed type is "tuple[builtins.int, fallback=nt.C]" Cls.A2(0) # E: Argument 1 has incompatible type "int"; expected "str" ca2 = Cls.A2('yes') reveal_type(ca2) # N: Revealed type is "tuple[builtins.str, fallback=nt.D]" ca3 = Cls.A3() reveal_type(ca3) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=nt.E]" [file nt.pyi] from typing import NamedTuple, Tuple class C(NamedTuple): x: int D = NamedTuple('D', [('y', str)]) class E(Tuple[int, str]): pass [builtins fixtures/tuple.pyi] [out] [case testTypeAliasesToAny] from typing import Any A = Any A # this should not fail [out] [case testDoubleImportsOfAnAlias] from b import * from c import * [file b.py] from a import A [file c.py] from a import A [file a.py] A = int [out] [case testDoubleImportsOfAnAlias2] from b import A from c import A [file b.py] from a import A [file c.py] from a import A [file a.py] A = int [out] [case testDoubleImportsOfAnAlias3] from b import * from c import * [file b.py] from a import A [file c.py] from a import A [file a.py] from typing import Union A = Union[None] [out] [case testAliasToClassMethod] from typing import TypeVar, Generic, Union, Type T = TypeVar('T', bound='C') MYPY = False if MYPY: test = classmethod class C: @test def meth(cls: Type[T], arg: int) -> Union[T, int]: ... class D(C): ... reveal_type(D.meth(1)) # N: Revealed type is "Union[__main__.D, builtins.int]" reveal_type(D().meth(1)) # N: Revealed type is "Union[__main__.D, builtins.int]" [builtins fixtures/classmethod.pyi] [out] [case testAliasInImportCycle] # cmd: mypy -m t t2 [file t.py] MYPY = False if MYPY: from t2 import A x: A [file t2.py] import t from typing import Callable A = Callable[[], None] [builtins fixtures/bool.pyi] [out] [case testAliasInImportCycle2] import a [file a.pyi] from b import Parameter class _ParamType: p: Parameter _ConvertibleType = _ParamType def convert_type(ty: _ConvertibleType): ... [file b.pyi] from a import _ConvertibleType class Parameter: type: _ConvertibleType [out] [case testAliasInImportCycle3] # cmd: mypy -m t t2 [file t.py] MYPY = False if MYPY: from t2 import A x: A reveal_type(x) # N: Revealed type is "t2.D" reveal_type(A) # N: Revealed type is "def () -> t2.D" A() [file t2.py] import t class D: pass A = D [builtins fixtures/bool.pyi] [out] [case testFlexibleAlias1] from typing import TypeVar, List, Tuple from mypy_extensions import FlexibleAlias T = TypeVar('T') U = TypeVar('U') AnInt = FlexibleAlias[T, int] x: AnInt[str] reveal_type(x) # N: Revealed type is "builtins.int" TwoArgs = FlexibleAlias[Tuple[T, U], bool] TwoArgs2 = FlexibleAlias[Tuple[T, U], List[U]] def welp(x: TwoArgs[str, int]) -> None: reveal_type(x) # N: Revealed type is "builtins.bool" def welp2(x: TwoArgs2[str, int]) -> None: reveal_type(x) # N: Revealed type is "builtins.list[builtins.int]" Id = FlexibleAlias[T, T] def take_id(x: Id[int]) -> None: reveal_type(x) # N: Revealed type is "builtins.int" def id(x: Id[T]) -> T: return x # TODO: This doesn't work and maybe it should? # Indirection = AnInt[T] # y: Indirection[str] # reveal_type(y) # E : Revealed type is "builtins.int" # But this does Indirection2 = FlexibleAlias[T, AnInt[T]] z: Indirection2[str] reveal_type(z) # N: Revealed type is "builtins.int" Indirection3 = FlexibleAlias[Tuple[T, U], AnInt[T]] w: Indirection3[str, int] reveal_type(w) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [case testFlexibleAlias2] # flags: --always-true=BOGUS from typing import TypeVar, Any from mypy_extensions import FlexibleAlias T = TypeVar('T') BOGUS = True if BOGUS: Bogus = FlexibleAlias[T, Any] else: Bogus = FlexibleAlias[T, T] class A: x: Bogus[str] reveal_type(A().x) # N: Revealed type is "Any" def foo(x: Bogus[int]) -> None: reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [case testFlexibleAlias3] # flags: --always-false=BOGUS from typing import TypeVar, Any from mypy_extensions import FlexibleAlias T = TypeVar('T') BOGUS = True if BOGUS: Bogus = FlexibleAlias[T, Any] else: Bogus = FlexibleAlias[T, T] class A: x: Bogus[str] reveal_type(A().x) # N: Revealed type is "builtins.str" def foo(x: Bogus[int]) -> None: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [case testOverrideByIdemAliasCorrectType] C = C class C: # type: ignore pass x: C reveal_type(x) # N: Revealed type is "__main__.C" [out] [case testOverrideByIdemAliasCorrectTypeReversed] class C: pass C = C # type: ignore x: C reveal_type(x) # N: Revealed type is "__main__.C" [out] [case testOverrideByIdemAliasCorrectTypeImported] from other import C as B C = B x: C reveal_type(x) # N: Revealed type is "other.C" [file other.py] class C: pass [out] [case testConditionalExceptionAlias] try: E = E except BaseException: class E(BaseException): pass # type: ignore try: pass except E as e: reveal_type(e) # N: Revealed type is "__main__.E" [builtins fixtures/exception.pyi] [out] [case testNestedClassOnAliasAsType] class Out: class In: class Inner: pass O = Out I = Out.In OI = O.In A = Out B = A w: O.In x: I.Inner y: OI.Inner z: B.In reveal_type(w) # N: Revealed type is "__main__.Out.In" reveal_type(x) # N: Revealed type is "__main__.Out.In.Inner" reveal_type(y) # N: Revealed type is "__main__.Out.In.Inner" reveal_type(z) # N: Revealed type is "__main__.Out.In" [case testSimplePep613] from typing_extensions import TypeAlias x: TypeAlias = str a: x reveal_type(a) # N: Revealed type is "builtins.str" y: TypeAlias = "str" b: y reveal_type(b) # N: Revealed type is "builtins.str" z: TypeAlias = "int | str" c: z reveal_type(c) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testForwardRefPep613] from typing_extensions import TypeAlias x: TypeAlias = "MyClass" a: x reveal_type(a) # N: Revealed type is "__main__.MyClass" class MyClass: ... [builtins fixtures/tuple.pyi] [case testInvalidPep613] from typing_extensions import TypeAlias x: TypeAlias = list(int) # E: Invalid type alias: expression is not a valid type \ # E: Too many arguments for "list" a: x [builtins fixtures/tuple.pyi] [case testAliasedImportPep613] import typing as tpp import typing_extensions as tpx from typing import TypeAlias as TPA from typing_extensions import TypeAlias as TXA import typing import typing_extensions Int1: tpp.TypeAlias = int Int2: tpx.TypeAlias = int Int3: TPA = int Int4: TXA = int Int5: typing.TypeAlias = int Int6: typing_extensions.TypeAlias = int x1: Int1 = "str" # E: Incompatible types in assignment (expression has type "str", variable has type "int") x2: Int2 = "str" # E: Incompatible types in assignment (expression has type "str", variable has type "int") x3: Int3 = "str" # E: Incompatible types in assignment (expression has type "str", variable has type "int") x4: Int4 = "str" # E: Incompatible types in assignment (expression has type "str", variable has type "int") x5: Int5 = "str" # E: Incompatible types in assignment (expression has type "str", variable has type "int") x6: Int6 = "str" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [case testFunctionScopePep613] from typing_extensions import TypeAlias def f() -> None: x: TypeAlias = str a: x reveal_type(a) # N: Revealed type is "builtins.str" y: TypeAlias = "str" b: y reveal_type(b) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testImportCyclePep613] # cmd: mypy -m t t2 [file t.py] MYPY = False if MYPY: from t2 import A x: A reveal_type(x) # N: Revealed type is "builtins.str" [file t2.py] from typing_extensions import TypeAlias A: TypeAlias = str [builtins fixtures/bool.pyi] [out] [case testLiteralStringPep675] # flags: --python-version 3.11 from typing import LiteralString as tpLS from typing_extensions import LiteralString as tpxLS def f(a: tpLS, b: tpxLS) -> None: reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(b) # N: Revealed type is "builtins.str" # This isn't the correct behaviour, but should unblock use of LiteralString in typeshed f("asdf", "asdf") string: str f(string, string) [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [case testForwardTypeVarRefWithRecursiveFlag] import c [file a.py] from typing import TypeVar, List, Any, Generic from b import Alias T = TypeVar("T", bound=Alias[Any]) def foo(x: T) -> T: ... [file b.py] from c import C from typing import TypeVar, List S = TypeVar("S") Alias = List[C[S]] [file c.py] from typing import TypeVar, List, Generic import a S = TypeVar("S") class C(Generic[S], List[Defer]): ... class Defer: ... [builtins fixtures/list.pyi] [case testClassLevelTypeAliasesInUnusualContexts] from typing import Union from typing_extensions import TypeAlias class Foo: pass NormalImplicit = Foo NormalExplicit: TypeAlias = Foo SpecialImplicit = Union[int, str] SpecialExplicit: TypeAlias = Union[int, str] class Parent: NormalImplicit = Foo NormalExplicit: TypeAlias = Foo SpecialImplicit = Union[int, str] SpecialExplicit: TypeAlias = Union[int, str] class Child(Parent): pass p = Parent() c = Child() # Use type aliases in a runtime context reveal_type(NormalImplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(NormalExplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(SpecialImplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(SpecialExplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(Parent.NormalImplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(Parent.NormalExplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(Parent.SpecialImplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(Parent.SpecialExplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(Child.NormalImplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(Child.NormalExplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(Child.SpecialImplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(Child.SpecialExplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(p.NormalImplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(p.NormalExplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(p.SpecialImplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(p.SpecialExplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(c.NormalImplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(p.NormalExplicit) # N: Revealed type is "def () -> __main__.Foo" reveal_type(c.SpecialImplicit) # N: Revealed type is "typing._SpecialForm" reveal_type(c.SpecialExplicit) # N: Revealed type is "typing._SpecialForm" # Use type aliases in a type alias context in a plausible way def plausible_top_1() -> NormalImplicit: pass def plausible_top_2() -> NormalExplicit: pass def plausible_top_3() -> SpecialImplicit: pass def plausible_top_4() -> SpecialExplicit: pass reveal_type(plausible_top_1) # N: Revealed type is "def () -> __main__.Foo" reveal_type(plausible_top_2) # N: Revealed type is "def () -> __main__.Foo" reveal_type(plausible_top_3) # N: Revealed type is "def () -> Union[builtins.int, builtins.str]" reveal_type(plausible_top_4) # N: Revealed type is "def () -> Union[builtins.int, builtins.str]" def plausible_parent_1() -> Parent.NormalImplicit: pass # E: Variable "__main__.Parent.NormalImplicit" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases def plausible_parent_2() -> Parent.NormalExplicit: pass def plausible_parent_3() -> Parent.SpecialImplicit: pass def plausible_parent_4() -> Parent.SpecialExplicit: pass reveal_type(plausible_parent_1) # N: Revealed type is "def () -> Parent.NormalImplicit?" reveal_type(plausible_parent_2) # N: Revealed type is "def () -> __main__.Foo" reveal_type(plausible_parent_3) # N: Revealed type is "def () -> Union[builtins.int, builtins.str]" reveal_type(plausible_parent_4) # N: Revealed type is "def () -> Union[builtins.int, builtins.str]" def plausible_child_1() -> Child.NormalImplicit: pass # E: Variable "__main__.Parent.NormalImplicit" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases def plausible_child_2() -> Child.NormalExplicit: pass def plausible_child_3() -> Child.SpecialImplicit: pass def plausible_child_4() -> Child.SpecialExplicit: pass reveal_type(plausible_child_1) # N: Revealed type is "def () -> Child.NormalImplicit?" reveal_type(plausible_child_2) # N: Revealed type is "def () -> __main__.Foo" reveal_type(plausible_child_3) # N: Revealed type is "def () -> Union[builtins.int, builtins.str]" reveal_type(plausible_child_4) # N: Revealed type is "def () -> Union[builtins.int, builtins.str]" # Use type aliases in a type alias context in an implausible way def weird_parent_1() -> p.NormalImplicit: pass # E: Name "p.NormalImplicit" is not defined def weird_parent_2() -> p.NormalExplicit: pass # E: Name "p.NormalExplicit" is not defined def weird_parent_3() -> p.SpecialImplicit: pass # E: Name "p.SpecialImplicit" is not defined def weird_parent_4() -> p.SpecialExplicit: pass # E: Name "p.SpecialExplicit" is not defined reveal_type(weird_parent_1) # N: Revealed type is "def () -> Any" reveal_type(weird_parent_2) # N: Revealed type is "def () -> Any" reveal_type(weird_parent_3) # N: Revealed type is "def () -> Any" reveal_type(weird_parent_4) # N: Revealed type is "def () -> Any" def weird_child_1() -> c.NormalImplicit: pass # E: Name "c.NormalImplicit" is not defined def weird_child_2() -> c.NormalExplicit: pass # E: Name "c.NormalExplicit" is not defined def weird_child_3() -> c.SpecialImplicit: pass # E: Name "c.SpecialImplicit" is not defined def weird_child_4() -> c.SpecialExplicit: pass # E: Name "c.SpecialExplicit" is not defined reveal_type(weird_child_1) # N: Revealed type is "def () -> Any" reveal_type(weird_child_2) # N: Revealed type is "def () -> Any" reveal_type(weird_child_3) # N: Revealed type is "def () -> Any" reveal_type(weird_child_4) # N: Revealed type is "def () -> Any" [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [case testMalformedTypeAliasRuntimeReassignments] from typing import Union from typing_extensions import TypeAlias class Foo: pass NormalImplicit = Foo NormalExplicit: TypeAlias = Foo SpecialImplicit = Union[int, str] SpecialExplicit: TypeAlias = Union[int, str] class Parent: NormalImplicit = Foo NormalExplicit: TypeAlias = Foo SpecialImplicit = Union[int, str] SpecialExplicit: TypeAlias = Union[int, str] class Child(Parent): pass p = Parent() c = Child() NormalImplicit = 4 # E: Cannot assign multiple types to name "NormalImplicit" without an explicit "type[...]" annotation \ # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") NormalExplicit = 4 # E: Cannot assign multiple types to name "NormalExplicit" without an explicit "type[...]" annotation \ # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") SpecialImplicit = 4 # E: Cannot assign multiple types to name "SpecialImplicit" without an explicit "type[...]" annotation SpecialExplicit = 4 # E: Cannot assign multiple types to name "SpecialExplicit" without an explicit "type[...]" annotation Parent.NormalImplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") Parent.NormalExplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") Parent.SpecialImplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "") Parent.SpecialExplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "") Child.NormalImplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") Child.NormalExplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") Child.SpecialImplicit = 4 Child.SpecialExplicit = 4 p.NormalImplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") p.NormalExplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") p.SpecialImplicit = 4 p.SpecialExplicit = 4 c.NormalImplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") c.NormalExplicit = 4 # E: Incompatible types in assignment (expression has type "int", variable has type "type[Foo]") c.SpecialImplicit = 4 c.SpecialExplicit = 4 [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [case testNewStyleUnionInTypeAliasWithMalformedInstance] # flags: --python-version 3.10 from typing import List A = List[int, str] | int # E: "list" expects 1 type argument, but 2 given B = int | list[int, str] # E: "list" expects 1 type argument, but 2 given a: A b: B reveal_type(a) # N: Revealed type is "Union[builtins.list[Any], builtins.int]" reveal_type(b) # N: Revealed type is "Union[builtins.int, builtins.list[Any]]" [builtins fixtures/type.pyi] [case testValidTypeAliasValues] from typing import TypeVar, Generic, List T = TypeVar("T", int, str) S = TypeVar("S", int, bytes) class C(Generic[T]): ... class D(C[S]): ... # E: Invalid type argument value for "C" U = TypeVar("U") A = List[C[U]] x: A[bytes] # E: Value of type variable "T" of "C" cannot be "bytes" V = TypeVar("V", bound=int) class E(Generic[V]): ... B = List[E[U]] y: B[str] # E: Type argument "str" of "E" must be a subtype of "int" [case testValidTypeAliasValuesMoreRestrictive] from typing import TypeVar, Generic, List T = TypeVar("T") S = TypeVar("S", int, str) U = TypeVar("U", bound=int) class C(Generic[T]): ... A = List[C[S]] x: A[int] x_bad: A[bytes] # E: Value of type variable "S" of "A" cannot be "bytes" B = List[C[U]] y: B[int] y_bad: B[str] # E: Type argument "str" of "B" must be a subtype of "int" [case testTupleWithDifferentArgs] Alias1 = tuple[float] Alias2 = tuple[float, float] Alias3 = tuple[float, ...] Alias4 = tuple[float, float, ...] # E: Unexpected "..." [builtins fixtures/tuple.pyi] [case testTupleWithDifferentArgsStub] # https://github.com/python/mypy/issues/11098 import tup [file tup.pyi] Correct1 = str | tuple[float, float, str] Correct2 = tuple[float] | str Correct3 = tuple[float, ...] | str Correct4 = tuple[float, str] | str Correct5 = tuple[int, str] Correct6 = tuple[int, ...] RHSAlias1: type = tuple[int, int] RHSAlias2: type = tuple[int] RHSAlias3: type = tuple[int, ...] # Wrong: WrongTypeElement = str | tuple[float, 1] # E: Invalid type: try using Literal[1] instead? WrongEllipsis = str | tuple[float, float, ...] # E: Unexpected "..." [builtins fixtures/tuple.pyi] [case testCompiledNoCrashOnSingleItemUnion] # flags: --no-strict-optional from typing import Callable, Union, Generic, TypeVar Alias = Callable[[], int] T = TypeVar("T") class C(Generic[T]): attr: Union[Alias, None] = None @classmethod def test(cls) -> None: cls.attr [builtins fixtures/classmethod.pyi] [case testRecursiveAliasTuple] from typing_extensions import TypeAlias from typing import Literal, Tuple, Union Expr: TypeAlias = Union[ Tuple[Literal[123], int], Tuple[Literal[456], "Expr"], ] def eval(e: Expr) -> int: if e[0] == 123: return e[1] elif e[0] == 456: return -eval(e[1]) [builtins fixtures/dict-full.pyi] [case testTypeAliasType] from typing import Union from typing_extensions import TypeAliasType TestType = TypeAliasType("TestType", Union[int, str]) x: TestType = 42 y: TestType = 'a' z: TestType = object() # E: Incompatible types in assignment (expression has type "object", variable has type "Union[int, str]") reveal_type(TestType) # N: Revealed type is "typing_extensions.TypeAliasType" TestType() # E: "TypeAliasType" not callable class A: ClassAlias = TypeAliasType("ClassAlias", int) xc: A.ClassAlias = 1 yc: A.ClassAlias = "" # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testTypeAliasTypePython311] # flags: --python-version 3.11 # Pinning to 3.11, because 3.12 has `TypeAliasType` from typing_extensions import TypeAliasType TestType = TypeAliasType("TestType", int) x: TestType = 1 [builtins fixtures/tuple.pyi] [case testTypeAliasTypeInvalid] from typing_extensions import TypeAliasType TestType = TypeAliasType("T", int) # E: String argument 1 "T" to TypeAliasType(...) does not match variable name "TestType" T1 = T2 = TypeAliasType("T", int) t1: T1 # E: Variable "__main__.T1" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases T3 = TypeAliasType("T3", -1) # E: Invalid type: try using Literal[-1] instead? t3: T3 reveal_type(t3) # N: Revealed type is "Any" T4 = TypeAliasType("T4") # E: Missing positional argument "value" in call to "TypeAliasType" T5 = TypeAliasType("T5", int, str) # E: Too many positional arguments for "TypeAliasType" \ # E: Argument 3 to "TypeAliasType" has incompatible type "type[str]"; expected "tuple[Union[TypeVar?, ParamSpec?, TypeVarTuple?], ...]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testTypeAliasTypeGeneric] from typing import Callable, Dict, Generic, TypeVar, Tuple from typing_extensions import TypeAliasType, TypeVarTuple, ParamSpec, Unpack K = TypeVar('K') V = TypeVar('V') T = TypeVar('T') Ts = TypeVarTuple("Ts") Ts1 = TypeVarTuple("Ts1") P = ParamSpec("P") TestType = TypeAliasType("TestType", Dict[K, V], type_params=(K, V)) x: TestType[int, str] = {1: 'a'} y: TestType[str, int] = {'a': 1} z: TestType[str, int] = {1: 'a'} # E: Dict entry 0 has incompatible type "int": "str"; expected "str": "int" w: TestType[int] # E: Bad number of arguments for type alias, expected 2, given 1 InvertedDict = TypeAliasType("InvertedDict", Dict[K, V], type_params=(V, K)) xi: InvertedDict[str, int] = {1: 'a'} yi: InvertedDict[str, int] = {'a': 1} # E: Dict entry 0 has incompatible type "str": "int"; expected "int": "str" zi: InvertedDict[int, str] = {1: 'a'} # E: Dict entry 0 has incompatible type "int": "str"; expected "str": "int" reveal_type(xi) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" VariadicAlias1 = TypeAliasType("VariadicAlias1", Tuple[Unpack[Ts]], type_params=(Ts,)) VariadicAlias2 = TypeAliasType("VariadicAlias2", Tuple[Unpack[Ts], K], type_params=(Ts, K)) VariadicAlias3 = TypeAliasType("VariadicAlias3", Callable[[Unpack[Ts]], int], type_params=(Ts,)) xv: VariadicAlias1[int, str] = (1, 'a') yv: VariadicAlias1[str, int] = (1, 'a') # E: Incompatible types in assignment (expression has type "tuple[int, str]", variable has type "tuple[str, int]") zv: VariadicAlias2[int, str] = (1, 'a') def int_in_int_out(x: int) -> int: return x wv: VariadicAlias3[int] = int_in_int_out reveal_type(wv) # N: Revealed type is "def (builtins.int) -> builtins.int" ParamAlias = TypeAliasType("ParamAlias", Callable[P, int], type_params=(P,)) def f(x: str, y: float) -> int: return 1 def g(x: int, y: float) -> int: return 1 xp1: ParamAlias[str, float] = f xp2: ParamAlias[str, float] = g # E: Incompatible types in assignment (expression has type "Callable[[int, float], int]", variable has type "Callable[[str, float], int]") xp3: ParamAlias[str, float] = lambda x, y: 1 class G(Generic[P, T]): ... ParamAlias2 = TypeAliasType("ParamAlias2", G[P, T], type_params=(P, T)) xp: ParamAlias2[[int], str] reveal_type(xp) # N: Revealed type is "__main__.G[[builtins.int], builtins.str]" [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testTypeAliasTypeInvalidGeneric] from typing_extensions import TypeAliasType, TypeVarTuple, ParamSpec from typing import Callable, Dict, Generic, TypeVar, Tuple, Unpack K = TypeVar('K') V = TypeVar('V') T = TypeVar('T') Ts = TypeVarTuple("Ts") Ts1 = TypeVarTuple("Ts1") P = ParamSpec("P") Ta0 = TypeAliasType("Ta0", int, type_params=(T, T)) # E: Duplicate type variable "T" in type_params argument to TypeAliasType Ta1 = TypeAliasType("Ta1", int, type_params=K) # E: Tuple literal expected as the type_params argument to TypeAliasType Ta2 = TypeAliasType("Ta2", int, type_params=(None,)) # E: Free type variable expected in type_params argument to TypeAliasType Ta3 = TypeAliasType("Ta3", Dict[K, V], type_params=(V,)) # E: Type variable "K" is not included in type_params partially_generic1: Ta3[int] = {"a": 1} reveal_type(partially_generic1) # N: Revealed type is "builtins.dict[Any, builtins.int]" partially_generic2: Ta3[int] = {1: "a"} # E: Dict entry 0 has incompatible type "int": "str"; expected "Any": "int" Ta4 = TypeAliasType("Ta4", Tuple[Unpack[Ts]], type_params=(Ts, Ts1)) # E: Can only use one TypeVarTuple in type_params argument to TypeAliasType Ta5 = TypeAliasType("Ta5", Dict) # Unlike old style aliases, this is not generic non_generic_dict: Ta5[int, str] # E: Bad number of arguments for type alias, expected 0, given 2 reveal_type(non_generic_dict) # N: Revealed type is "builtins.dict[Any, Any]" Ta6 = TypeAliasType("Ta6", Tuple[Unpack[Ts]]) # E: TypeVarTuple "Ts" is not included in type_params unbound_tvt_alias: Ta6[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(unbound_tvt_alias) # N: Revealed type is "builtins.tuple[Any, ...]" class G(Generic[P, T]): ... Ta7 = TypeAliasType("Ta7", G[P, T]) # E: ParamSpec "P" is not included in type_params \ # E: Type variable "T" is not included in type_params unbound_ps_alias: Ta7[[int], str] # E: Bracketed expression "[...]" is not valid as a type \ # N: Did you mean "List[...]"? \ # E: Bad number of arguments for type alias, expected 0, given 2 reveal_type(unbound_ps_alias) # N: Revealed type is "__main__.G[Any, Any]" Ta8 = TypeAliasType("Ta8", Callable[P, int]) # E: ParamSpec "P" is not included in type_params unbound_ps_alias2: Ta8[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(unbound_ps_alias2) # N: Revealed type is "def [P] (*Any, **Any) -> builtins.int" Ta9 = TypeAliasType("Ta9", Callable[P, T]) # E: ParamSpec "P" is not included in type_params \ # E: Type variable "T" is not included in type_params unbound_ps_alias3: Ta9[int, str] # E: Bad number of arguments for type alias, expected 0, given 2 reveal_type(unbound_ps_alias3) # N: Revealed type is "def [P] (*Any, **Any) -> Any" Ta10 = TypeAliasType("Ta10", Callable[[Unpack[Ts]], str]) # E: TypeVarTuple "Ts" is not included in type_params unbound_tvt_alias2: Ta10[int] # E: Bad number of arguments for type alias, expected 0, given 1 reveal_type(unbound_tvt_alias2) # N: Revealed type is "def (*Any) -> builtins.str" class A(Generic[T]): Ta11 = TypeAliasType("Ta11", Dict[str, T], type_params=(T,)) # E: Can't use bound type variable "T" to define generic alias x: A.Ta11 = {"a": 1} reveal_type(x) # N: Revealed type is "builtins.dict[builtins.str, Any]" [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testTypeAliasTypeNoUnpackInTypeParams311] # flags: --python-version 3.11 from typing_extensions import TypeAliasType, TypeVar, TypeVarTuple, Unpack T = TypeVar("T") Ts = TypeVarTuple("Ts") Ta1 = TypeAliasType("Ta1", None, type_params=(*Ts,)) # E: can't use starred expression here Ta2 = TypeAliasType("Ta2", None, type_params=(Unpack[Ts],)) # E: Free type variable expected in type_params argument to TypeAliasType \ # N: Don't Unpack type variables in type_params [builtins fixtures/tuple.pyi] [case testAliasInstanceNameClash] from lib import func class A: ... func(A()) # E: Argument 1 to "func" has incompatible type "__main__.A"; expected "lib.A" [file lib.py] from typing import List, Union A = Union[int, List[A]] def func(x: A) -> int: ... [builtins fixtures/tuple.pyi] [case testAliasNonGeneric] from typing_extensions import TypeAlias class Foo: ... ImplicitFoo = Foo ExplicitFoo: TypeAlias = Foo x1: ImplicitFoo[str] # E: "Foo" expects no type arguments, but 1 given x2: ExplicitFoo[str] # E: "Foo" expects no type arguments, but 1 given def is_foo(x: object): if isinstance(x, ImplicitFoo): pass if isinstance(x, ExplicitFoo): pass [builtins fixtures/tuple.pyi] [case testAliasExplicitNoArgsTuple] from typing import Any, Tuple, assert_type from typing_extensions import TypeAlias Implicit = Tuple Explicit: TypeAlias = Tuple x1: Implicit[str] # E: Bad number of arguments for type alias, expected 0, given 1 x2: Explicit[str] # E: Bad number of arguments for type alias, expected 0, given 1 assert_type(x1, Tuple[Any, ...]) assert_type(x2, Tuple[Any, ...]) [builtins fixtures/tuple.pyi] [case testAliasExplicitNoArgsCallable] from typing import Any, Callable, assert_type from typing_extensions import TypeAlias Implicit = Callable Explicit: TypeAlias = Callable x1: Implicit[str] # E: Bad number of arguments for type alias, expected 0, given 1 x2: Explicit[str] # E: Bad number of arguments for type alias, expected 0, given 1 assert_type(x1, Callable[..., Any]) assert_type(x2, Callable[..., Any]) [builtins fixtures/tuple.pyi] [case testExplicitTypeAliasToSameNameOuterProhibited] from typing import TypeVar, Generic from typing_extensions import TypeAlias T = TypeVar("T") class Foo(Generic[T]): bar: Bar[T] class Bar(Generic[T]): Foo: TypeAlias = Foo[T] # E: Can't use bound type variable "T" to define generic alias [builtins fixtures/tuple.pyi] [case testExplicitTypeAliasToSameNameOuterAllowed] from typing import TypeVar, Generic from typing_extensions import TypeAlias T = TypeVar("T") class Foo(Generic[T]): bar: Bar[T] U = TypeVar("U") class Bar(Generic[T]): Foo: TypeAlias = Foo[U] var: Foo[T] x: Bar[int] reveal_type(x.var.bar) # N: Revealed type is "__main__.Bar[builtins.int]" [builtins fixtures/tuple.pyi] [case testExplicitTypeAliasClassVarProhibited] from typing import ClassVar from typing_extensions import TypeAlias Foo: TypeAlias = ClassVar[int] # E: ClassVar[...] can't be used inside a type alias [builtins fixtures/tuple.pyi] [case testAnnotatedWithCallableAsParameterTypeAlias] from typing_extensions import Annotated, TypeAlias def something() -> None: ... A: TypeAlias = list[Annotated[str, something()]] a: A reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/tuple.pyi] [case testAnnotatedWithCallableAsParameterTypeAliasDeeper] from typing_extensions import Annotated, TypeAlias def something() -> None: ... A: TypeAlias = list[Annotated[Annotated[str, something()], something()]] a: A reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeAliasDict] D = dict[str, int] d = D() reveal_type(d) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(D()) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(D(x=1)) # N: Revealed type is "builtins.dict[builtins.str, builtins.int]" reveal_type(D(x="asdf")) # E: No overload variant of "dict" matches argument type "str" \ # N: Possible overload variants: \ # N: def __init__(self, **kwargs: int) -> dict[str, int] \ # N: def __init__(self, arg: Iterable[tuple[str, int]], **kwargs: int) -> dict[str, int] \ # N: Revealed type is "Any" [builtins fixtures/dict.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-type-checks.test0000644000175100017510000001022715112307767021321 0ustar00runnerrunner-- Conditional type checks. [case testSimpleIsinstance] x: object n: int s: str if int(): n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") if isinstance(x, int): n = x s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") [builtins fixtures/isinstance.pyi] [case testSimpleIsinstance2] import typing def f(x: object, n: int, s: str) -> None: if int(): n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") if isinstance(x, int): n = x s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") [builtins fixtures/isinstance.pyi] [out] [case testSimpleIsinstance3] class A: x = None # type: object n = None # type: int s = None # type: str if int(): n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") if isinstance(x, int): n = x s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") else: n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") [builtins fixtures/isinstance.pyi] [out] [case testMultipleIsinstanceTests] import typing class A: pass class B(A): pass def f(x: object, a: A, b: B, c: int) -> None: if isinstance(x, A): if isinstance(x, B): b = x x = a a = x c = x # E: Incompatible types in assignment (expression has type "A", variable has type "int") [builtins fixtures/isinstance.pyi] [out] [case testMultipleIsinstanceTests2] import typing class A: pass class B(A): pass def f(x: object, y: object, n: int, s: str) -> None: if isinstance(x, int): if isinstance(y, str): n = x s = y s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") n = y # E: Incompatible types in assignment (expression has type "str", variable has type "int") s = y # E: Incompatible types in assignment (expression has type "object", variable has type "str") n = y # E: Incompatible types in assignment (expression has type "object", variable has type "int") n = x [builtins fixtures/isinstance.pyi] [out] [case testIsinstanceAndElif] import typing def f(x: object, n: int, s: str) -> None: if int(): n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") if isinstance(x, int): n = x s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") elif isinstance(x, str): s = x n = x # E: Incompatible types in assignment (expression has type "str", variable has type "int") else: n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") s = x # E: Incompatible types in assignment (expression has type "object", variable has type "str") n = x # E: Incompatible types in assignment (expression has type "object", variable has type "int") [builtins fixtures/isinstance.pyi] [out] [case testIsinstanceAndAnyType] from typing import Any def f(x: Any, n: int, s: str) -> None: if int(): s = x if isinstance(x, int): n = x s = x # E: Incompatible types in assignment (expression has type "int", variable has type "str") s = x [builtins fixtures/isinstance.pyi] [out] [case testIsinstanceAndGenericType] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def f(self, x: T) -> None: pass def f(x: object) -> None: if isinstance(x, C): x.f(1) x.f('') x.g() # E: "C[Any]" has no attribute "g" x.g() # E: "object" has no attribute "g" [builtins fixtures/isinstance.pyi] [out] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-type-object-type-inference.test0000644000175100017510000000357315112307767024250 0ustar00runnerrunner[case testInferTupleType] from typing import TypeVar, Generic, Type from abc import abstractmethod import types # Explicitly bring in stubs for 'types' T = TypeVar('T') class E(Generic[T]): @abstractmethod def e(self, t: T) -> str: ... class F: @abstractmethod def f(self, tp: Type[T]) -> E[T]: ... def g(f: F): f.f(int).e(7) f.f(tuple[int,str]) f.f(tuple[int,str]).e('x') # E: Argument 1 to "e" of "E" has incompatible type "str"; expected "tuple[int, str]" f.f(tuple[int,str]).e( (7,8) ) # E: Argument 1 to "e" of "E" has incompatible type "tuple[int, int]"; expected "tuple[int, str]" f.f(tuple[int,str]).e( (7,'x') ) # OK reveal_type(f.f(tuple[int,str]).e) # N: Revealed type is "def (t: tuple[builtins.int, builtins.str]) -> builtins.str" def h(f: F): f.f(int).e(7) f.f(tuple) f.f(tuple).e('y') # E: Argument 1 to "e" of "E" has incompatible type "str"; expected "tuple[Any, ...]" f.f(tuple).e( (8,'y') ) # OK reveal_type(f.f(tuple).e) # N: Revealed type is "def (t: builtins.tuple[Any, ...]) -> builtins.str" def i(f: F): f.f(tuple[int,tuple[int,str]]) f.f(tuple[int,tuple[int,str]]).e('z') # E: Argument 1 to "e" of "E" has incompatible type "str"; expected "tuple[int, tuple[int, str]]" f.f(tuple[int,tuple[int,str]]).e( (8,9) ) # E: Argument 1 to "e" of "E" has incompatible type "tuple[int, int]"; expected "tuple[int, tuple[int, str]]" f.f(tuple[int,tuple[int,str]]).e( (17, (28, 29)) ) # E: Argument 1 to "e" of "E" has incompatible type "tuple[int, tuple[int, int]]"; expected "tuple[int, tuple[int, str]]" f.f(tuple[int,tuple[int,str]]).e( (27,(28,'z')) ) # OK reveal_type(f.f(tuple[int,tuple[int,str]]).e) # N: Revealed type is "def (t: tuple[builtins.int, tuple[builtins.int, builtins.str]]) -> builtins.str" x = tuple[int,str][str] # False negative [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-type-promotion.test0000644000175100017510000001457615112307767022122 0ustar00runnerrunner-- Test cases for type promotion (e.g. int -> float). [case testPromoteIntToFloat] def f(x: float) -> None: pass f(1) [builtins fixtures/primitives.pyi] [case testCantPromoteFloatToInt] def f(x: int) -> None: pass f(1.1) # E: Argument 1 to "f" has incompatible type "float"; expected "int" [builtins fixtures/primitives.pyi] [case testPromoteFloatToComplex] def f(x: complex) -> None: pass f(1) [builtins fixtures/primitives.pyi] [case testPromoteIntToComplex] def f(x: complex) -> None: pass f(1) [builtins fixtures/primitives.pyi] [case testPromoteBytearrayToByte] def f(x: bytes) -> None: pass f(bytearray(b'')) [builtins fixtures/primitives.pyi] [case testPromoteMemoryviewToBytes] def f(x: bytes) -> None: pass f(memoryview(b'')) [builtins fixtures/primitives.pyi] [case testNarrowingDownFromPromoteTargetType] y = 0.0 y = 1 y() # E: "int" not callable [builtins fixtures/primitives.pyi] [case testNarrowingDownFromPromoteTargetType2] y = 0.0 y = 1 y.x # E: "int" has no attribute "x" [builtins fixtures/primitives.pyi] [case testTypePromotionsDontInterfereWithProtocols] from typing import TypeVar, Union, Protocol class SupportsFloat(Protocol): def __float__(self) -> float: pass T = TypeVar('T') def f(x: Union[SupportsFloat, T]) -> Union[SupportsFloat, T]: pass f(0) # should not crash [builtins fixtures/primitives.pyi] [out] [case testIntersectionUsingPromotion1] # flags: --warn-unreachable from typing import Union x: complex = 1 reveal_type(x) # N: Revealed type is "builtins.complex" if isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "builtins.complex" reveal_type(x) # N: Revealed type is "builtins.complex" y: Union[int, float] if isinstance(y, float): reveal_type(y) # N: Revealed type is "builtins.float" else: reveal_type(y) # N: Revealed type is "builtins.int" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.float]" if isinstance(y, int): reveal_type(y) # N: Revealed type is "builtins.int" else: reveal_type(y) # N: Revealed type is "builtins.float" [builtins fixtures/primitives.pyi] [case testIntersectionUsingPromotion2] # flags: --warn-unreachable x: complex = 1 reveal_type(x) # N: Revealed type is "builtins.complex" if isinstance(x, (int, float)): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.float]" else: reveal_type(x) # N: Revealed type is "builtins.complex" # Note we make type precise, since type promotions are involved reveal_type(x) # N: Revealed type is "builtins.complex" [builtins fixtures/primitives.pyi] [case testIntersectionUsingPromotion3] # flags: --warn-unreachable x: object if isinstance(x, int) and isinstance(x, complex): reveal_type(x) # N: Revealed type is "builtins.int" if isinstance(x, complex) and isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/primitives.pyi] [case testIntersectionUsingPromotion4] # flags: --warn-unreachable x: object if isinstance(x, int): if isinstance(x, complex): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "builtins.int" if isinstance(x, complex): if isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "builtins.complex" [builtins fixtures/primitives.pyi] [case testIntersectionUsingPromotion5] # flags: --warn-unreachable from typing import Union x: Union[float, complex] if isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "Union[builtins.float, builtins.complex]" reveal_type(x) # N: Revealed type is "Union[builtins.float, builtins.complex]" [builtins fixtures/primitives.pyi] [case testIntersectionUsingPromotion6] # flags: --warn-unreachable from typing import Union x: Union[str, complex] if isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.complex]" reveal_type(x) # N: Revealed type is "Union[builtins.str, builtins.complex]" [builtins fixtures/primitives.pyi] [case testIntersectionUsingPromotion7] # flags: --warn-unreachable from typing import Union x: Union[int, float, complex] if isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "Union[builtins.float, builtins.complex]" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.float, builtins.complex]" if isinstance(x, float): reveal_type(x) # N: Revealed type is "builtins.float" else: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.complex]" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.float, builtins.complex]" if isinstance(x, complex): reveal_type(x) # N: Revealed type is "builtins.complex" else: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.float]" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.float, builtins.complex]" [builtins fixtures/primitives.pyi] [case testIntersectionUsingPromotion8] # flags: --warn-unreachable from typing import Union x: Union[int, float, complex] if isinstance(x, (int, float)): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.float]" else: reveal_type(x) # N: Revealed type is "builtins.complex" if isinstance(x, (int, complex)): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.complex]" else: reveal_type(x) # N: Revealed type is "builtins.float" if isinstance(x, (float, complex)): reveal_type(x) # N: Revealed type is "Union[builtins.float, builtins.complex]" else: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/primitives.pyi] [case testRejectPromotionsForProtocols] from typing import Protocol class H(Protocol): def hex(self, /) -> str: ... f: H = 1.0 o: H = object() # E: Incompatible types in assignment (expression has type "object", variable has type "H") c: H = 1j # E: Incompatible types in assignment (expression has type "complex", variable has type "H") i: H = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "H") b: H = False # E: Incompatible types in assignment (expression has type "bool", variable has type "H") class N(float): ... n: H = N() [builtins fixtures/primitives.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-typeddict.test0000644000175100017510000044574215112307767021111 0ustar00runnerrunner-- Create Instance [case testCanCreateTypedDictInstanceWithKeywordArguments] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(x=42, y=1337) reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, 'y': builtins.int})" # Use values() to check fallback value type. reveal_type(p.values()) # N: Revealed type is "typing.Iterable[builtins.object]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [targets __main__] [case testCanCreateTypedDictInstanceWithDictCall] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(dict(x=42, y=1337)) reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, 'y': builtins.int})" # Use values() to check fallback value type. reveal_type(p.values()) # N: Revealed type is "typing.Iterable[builtins.object]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictInstanceWithDictLiteral] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point({'x': 42, 'y': 1337}) reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, 'y': builtins.int})" # Use values() to check fallback value type. reveal_type(p.values()) # N: Revealed type is "typing.Iterable[builtins.object]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictInstanceWithNoArguments] from typing import TypedDict, TypeVar, Union EmptyDict = TypedDict('EmptyDict', {}) p = EmptyDict() reveal_type(p) # N: Revealed type is "TypedDict('__main__.EmptyDict', {})" reveal_type(p.values()) # N: Revealed type is "typing.Iterable[builtins.object]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Create Instance (Errors) [case testCannotCreateTypedDictInstanceWithUnknownArgumentPattern] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(42, 1337) # E: Expected keyword arguments, {...}, or dict(...) in TypedDict constructor [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictInstanceNonLiteralItemName] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) x = 'x' p = Point({x: 42, 'y': 1337}) # E: Expected TypedDict key to be string literal [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictInstanceWithExtraItems] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(x=42, y=1337, z=666) # E: Extra key "z" for TypedDict "Point" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictInstanceWithMissingItems] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(x=42) # E: Missing key "y" for TypedDict "Point" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictInstanceWithIncompatibleItemType] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(x='meaning_of_life', y=1337) # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictInstanceWithInlineTypedDict] from typing import TypedDict D = TypedDict('D', { 'x': TypedDict('E', { # E: Use dict literal for nested TypedDict 'y': int }) }) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Define TypedDict (Class syntax) [case testCanCreateTypedDictWithClass] from typing import TypedDict class Point(TypedDict): x: int y: int p = Point(x=42, y=1337) reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, 'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictWithSubclass] from typing import TypedDict class Point1D(TypedDict): x: int class Point2D(Point1D): y: int r: Point1D p: Point2D reveal_type(r) # N: Revealed type is "TypedDict('__main__.Point1D', {'x': builtins.int})" reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point2D', {'x': builtins.int, 'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictWithSubclass2] from typing import TypedDict class Point1D(TypedDict): x: int class Point2D(TypedDict, Point1D): # We also allow to include TypedDict in bases, it is simply ignored at runtime y: int p: Point2D reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point2D', {'x': builtins.int, 'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictClassEmpty] from typing import TypedDict class EmptyDict(TypedDict): pass p = EmptyDict() reveal_type(p) # N: Revealed type is "TypedDict('__main__.EmptyDict', {})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictWithClassOldVersion] # Test that we can use class-syntax to merge function-based TypedDicts from typing import TypedDict MovieBase1 = TypedDict( 'MovieBase1', {'name': str, 'year': int}) MovieBase2 = TypedDict( 'MovieBase2', {'based_on': str}, total=False) class Movie(MovieBase1, MovieBase2): pass def foo(x): # type: (Movie) -> None pass foo({}) # E: Missing keys ("name", "year") for TypedDict "Movie" foo({'name': 'lol', 'year': 2009, 'based_on': 0}) # E: Incompatible types (expression has type "int", TypedDict item "based_on" has type "str") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Define TypedDict (Class syntax errors) [case testCannotCreateTypedDictWithClassOtherBases] from typing import TypedDict class A: pass class Point1D(TypedDict, A): # E: All bases of a new TypedDict must be TypedDict types x: int class Point2D(Point1D, A): # E: All bases of a new TypedDict must be TypedDict types y: int p: Point2D reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point2D', {'x': builtins.int, 'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictWithDuplicateBases] # https://github.com/python/mypy/issues/3673 from typing import TypedDict class A(TypedDict): x: str y: int class B(A, A): # E: Duplicate base class "A" z: str class C(TypedDict, TypedDict): # E: Duplicate base class "TypedDict" c1: int [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictWithClassWithOtherStuff] from typing import TypedDict class Point(TypedDict): x: int y: int = 1 # E: Right hand side values are not supported in TypedDict def f(): pass # E: Invalid statement in TypedDict definition; expected "field_name: field_type" z = int # E: Invalid statement in TypedDict definition; expected "field_name: field_type" p = Point(x=42, y=1337, z='whatever') reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, 'y': builtins.int, 'z': Any})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictWithClassWithFunctionUsedToCrash] # https://github.com/python/mypy/issues/11079 from typing import TypedDict class D(TypedDict): y: int def x(self, key: int): # E: Invalid statement in TypedDict definition; expected "field_name: field_type" pass d = D(y=1) reveal_type(d) # N: Revealed type is "TypedDict('__main__.D', {'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictWithDecoratedFunction] # flags: --disallow-any-expr # https://github.com/python/mypy/issues/13066 from typing import TypedDict class D(TypedDict): @classmethod # E: Invalid statement in TypedDict definition; expected "field_name: field_type" def m(self) -> D: pass d = D() reveal_type(d) # N: Revealed type is "TypedDict('__main__.D', {})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictWithClassmethodAlternativeConstructorDoesNotCrash] # https://github.com/python/mypy/issues/5653 from typing import TypedDict class Foo(TypedDict): bar: str @classmethod # E: Invalid statement in TypedDict definition; expected "field_name: field_type" def baz(cls) -> "Foo": ... [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictTypeWithUnderscoreItemName] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int, '_fallback': object}) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictWithClassUnderscores] from typing import TypedDict class Point(TypedDict): x: int _y: int p: Point reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, '_y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictWithDuplicateKey1] from typing import TypedDict class Bad(TypedDict): x: int x: str # E: Duplicate TypedDict key "x" b: Bad reveal_type(b) # N: Revealed type is "TypedDict('__main__.Bad', {'x': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictWithDuplicateKey2] from typing import TypedDict D1 = TypedDict("D1", { "x": int, "x": int, # E: Duplicate TypedDict key "x" }) D2 = TypedDict("D2", {"x": int, "x": str}) # E: Duplicate TypedDict key "x" d1: D1 d2: D2 reveal_type(d1) # N: Revealed type is "TypedDict('__main__.D1', {'x': builtins.int})" reveal_type(d2) # N: Revealed type is "TypedDict('__main__.D2', {'x': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictWithClassOverwriting] from typing import TypedDict class Point1(TypedDict): x: int class Point2(TypedDict): x: float class Bad(Point1, Point2): # E: Overwriting TypedDict field "x" while merging pass b: Bad reveal_type(b) # N: Revealed type is "TypedDict('__main__.Bad', {'x': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictWithClassOverwriting2] from typing import TypedDict class Point1(TypedDict): x: int class Point2(Point1): x: float # E: Overwriting TypedDict field "x" while extending p2: Point2 reveal_type(p2) # N: Revealed type is "TypedDict('__main__.Point2', {'x': builtins.float})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Subtyping [case testCanConvertTypedDictToItself] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) def identity(p: Point) -> Point: return p [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanConvertTypedDictToEquivalentTypedDict] from typing import TypedDict PointA = TypedDict('PointA', {'x': int, 'y': int}) PointB = TypedDict('PointB', {'x': int, 'y': int}) def identity(p: PointA) -> PointB: return p [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotConvertTypedDictToSimilarTypedDictWithNarrowerItemTypes] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) ObjectPoint = TypedDict('ObjectPoint', {'x': object, 'y': object}) def convert(op: ObjectPoint) -> Point: return op # E: Incompatible return value type (got "ObjectPoint", expected "Point") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotConvertTypedDictToSimilarTypedDictWithWiderItemTypes] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) ObjectPoint = TypedDict('ObjectPoint', {'x': object, 'y': object}) def convert(p: Point) -> ObjectPoint: return p # E: Incompatible return value type (got "Point", expected "ObjectPoint") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotConvertTypedDictToSimilarTypedDictWithIncompatibleItemTypes] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) Chameleon = TypedDict('Chameleon', {'x': str, 'y': str}) def convert(p: Point) -> Chameleon: return p # E: Incompatible return value type (got "Point", expected "Chameleon") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanConvertTypedDictToNarrowerTypedDict] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) Point1D = TypedDict('Point1D', {'x': int}) def narrow(p: Point) -> Point1D: return p [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotConvertTypedDictToWiderTypedDict] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) Point3D = TypedDict('Point3D', {'x': int, 'y': int, 'z': int}) def widen(p: Point) -> Point3D: return p # E: Incompatible return value type (got "Point", expected "Point3D") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanConvertTypedDictToCompatibleMapping] from typing import Mapping, TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) def as_mapping(p: Point) -> Mapping[str, object]: return p [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotConvertTypedDictToIncompatibleMapping] from typing import Mapping, TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) def as_mapping(p: Point) -> Mapping[str, int]: return p # E: Incompatible return value type (got "Point", expected "Mapping[str, int]") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAcceptsIntForFloatDuckTypes] from typing import Any, Mapping, TypedDict Point = TypedDict('Point', {'x': float, 'y': float}) def create_point() -> Point: return Point(x=1, y=2) reveal_type(Point(x=1, y=2)) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.float, 'y': builtins.float})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictDoesNotAcceptsFloatForInt] from typing import Any, Mapping, TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) def create_point() -> Point: return Point(x=1.2, y=2.5) [out] main:4: error: Incompatible types (expression has type "float", TypedDict item "x" has type "int") main:4: error: Incompatible types (expression has type "float", TypedDict item "y" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAcceptsAnyType] from typing import Any, Mapping, TypedDict Point = TypedDict('Point', {'x': float, 'y': float}) def create_point(something: Any) -> Point: return Point({ 'x': something.x, 'y': something.y }) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictValueTypeContext] from typing import List, TypedDict D = TypedDict('D', {'x': List[int]}) reveal_type(D(x=[])) # N: Revealed type is "TypedDict('__main__.D', {'x': builtins.list[builtins.int]})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotConvertTypedDictToDictOrMutableMapping] from typing import Dict, MutableMapping, TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) def as_dict(p: Point) -> Dict[str, int]: return p # E: Incompatible return value type (got "Point", expected "dict[str, int]") def as_mutable_mapping(p: Point) -> MutableMapping[str, object]: return p # E: Incompatible return value type (got "Point", expected "MutableMapping[str, object]") [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testCanConvertTypedDictToAny] from typing import Any, TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) def unprotect(p: Point) -> Any: return p [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testAnonymousTypedDictInErrorMessages] from typing import TypedDict A = TypedDict('A', {'x': int, 'y': str}) B = TypedDict('B', {'x': int, 'z': str, 'a': int}) C = TypedDict('C', {'x': int, 'z': str, 'a': str}) a: A b: B c: C def f(a: A) -> None: pass l = [a, b] # Join generates an anonymous TypedDict f(l) # E: Argument 1 to "f" has incompatible type "list[TypedDict({'x': int})]"; expected "A" ll = [b, c] f(ll) # E: Argument 1 to "f" has incompatible type "list[TypedDict({'x': int, 'z': str})]"; expected "A" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictWithSimpleProtocol] from typing import Protocol, TypedDict class StrObjectMap(Protocol): def __getitem__(self, key: str) -> object: ... class StrIntMap(Protocol): def __getitem__(self, key: str) -> int: ... A = TypedDict('A', {'x': int, 'y': int}) B = TypedDict('B', {'x': int, 'y': str}) def fun(arg: StrObjectMap) -> None: ... def fun2(arg: StrIntMap) -> None: ... a: A b: B fun(a) fun(b) fun2(a) # Error [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] main:17: error: Argument 1 to "fun2" has incompatible type "A"; expected "StrIntMap" main:17: note: Following member(s) of "A" have conflicts: main:17: note: Expected: main:17: note: def __getitem__(self, str, /) -> int main:17: note: Got: main:17: note: def __getitem__(self, str, /) -> object [case testTypedDictWithSimpleProtocolInference] from typing import Protocol, TypedDict, TypeVar T_co = TypeVar('T_co', covariant=True) T = TypeVar('T') class StrMap(Protocol[T_co]): def __getitem__(self, key: str) -> T_co: ... A = TypedDict('A', {'x': int, 'y': int}) B = TypedDict('B', {'x': int, 'y': str}) def fun(arg: StrMap[T]) -> T: return arg['whatever'] a: A b: B reveal_type(fun(a)) # N: Revealed type is "builtins.object" reveal_type(fun(b)) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Join [case testJoinOfTypedDictHasOnlyCommonKeysAndNewFallback] from typing import TypedDict TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) Point3D = TypedDict('Point3D', {'x': int, 'y': int, 'z': int}) p1 = TaggedPoint(type='2d', x=0, y=0) p2 = Point3D(x=1, y=1, z=1) joined_points = [p1, p2][0] reveal_type(p1.values()) # N: Revealed type is "typing.Iterable[builtins.object]" reveal_type(p2.values()) # N: Revealed type is "typing.Iterable[builtins.object]" reveal_type(joined_points) # N: Revealed type is "TypedDict({'x': builtins.int, 'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testJoinOfTypedDictRemovesNonequivalentKeys] from typing import TypedDict CellWithInt = TypedDict('CellWithInt', {'value': object, 'meta': int}) CellWithObject = TypedDict('CellWithObject', {'value': object, 'meta': object}) c1 = CellWithInt(value=1, meta=42) c2 = CellWithObject(value=2, meta='turtle doves') joined_cells = [c1, c2] reveal_type(c1) # N: Revealed type is "TypedDict('__main__.CellWithInt', {'value': builtins.object, 'meta': builtins.int})" reveal_type(c2) # N: Revealed type is "TypedDict('__main__.CellWithObject', {'value': builtins.object, 'meta': builtins.object})" reveal_type(joined_cells) # N: Revealed type is "builtins.list[TypedDict({'value': builtins.object})]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testJoinOfDisjointTypedDictsIsEmptyTypedDict] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) Cell = TypedDict('Cell', {'value': object}) d1 = Point(x=0, y=0) d2 = Cell(value='pear tree') joined_dicts = [d1, d2] reveal_type(d1) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, 'y': builtins.int})" reveal_type(d2) # N: Revealed type is "TypedDict('__main__.Cell', {'value': builtins.object})" reveal_type(joined_dicts) # N: Revealed type is "builtins.list[TypedDict({})]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testJoinOfTypedDictWithCompatibleMappingIsMapping] from typing import Mapping, TypedDict Cell = TypedDict('Cell', {'value': int}) left = Cell(value=42) right = {'score': 999} # type: Mapping[str, int] joined1 = [left, right] joined2 = [right, left] reveal_type(joined1) # N: Revealed type is "builtins.list[typing.Mapping[builtins.str, builtins.object]]" reveal_type(joined2) # N: Revealed type is "builtins.list[typing.Mapping[builtins.str, builtins.object]]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testJoinOfTypedDictWithCompatibleMappingSupertypeIsSupertype] from typing import Sized, TypedDict Cell = TypedDict('Cell', {'value': int}) left = Cell(value=42) right = {'score': 999} # type: Sized joined1 = [left, right] joined2 = [right, left] reveal_type(joined1) # N: Revealed type is "builtins.list[typing.Sized]" reveal_type(joined2) # N: Revealed type is "builtins.list[typing.Sized]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testJoinOfTypedDictWithIncompatibleTypeIsObject] from typing import Mapping, TypedDict Cell = TypedDict('Cell', {'value': int}) left = Cell(value=42) right = 42 joined1 = [left, right] joined2 = [right, left] reveal_type(joined1) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(joined2) # N: Revealed type is "builtins.list[builtins.object]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Meet [case testMeetOfTypedDictsWithCompatibleCommonKeysHasAllKeysAndNewFallback] from typing import TypedDict, TypeVar, Callable XY = TypedDict('XY', {'x': int, 'y': int}) YZ = TypedDict('YZ', {'y': int, 'z': int}) T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: XY, y: YZ) -> None: pass reveal_type(f(g)) # N: Revealed type is "TypedDict({'x': builtins.int, 'y': builtins.int, 'z': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testMeetOfTypedDictsWithIncompatibleCommonKeysIsUninhabited] from typing import TypedDict, TypeVar, Callable XYa = TypedDict('XYa', {'x': int, 'y': int}) YbZ = TypedDict('YbZ', {'y': object, 'z': int}) T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: XYa, y: YbZ) -> None: pass reveal_type(f(g)) # N: Revealed type is "Never" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testMeetOfTypedDictsWithNoCommonKeysHasAllKeysAndNewFallback] from typing import TypedDict, TypeVar, Callable X = TypedDict('X', {'x': int}) Z = TypedDict('Z', {'z': int}) T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: X, y: Z) -> None: pass reveal_type(f(g)) # N: Revealed type is "TypedDict({'x': builtins.int, 'z': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] # TODO: It would be more accurate for the meet to be TypedDict instead. [case testMeetOfTypedDictWithCompatibleMappingIsUninhabitedForNow] from typing import TypedDict, TypeVar, Callable, Mapping X = TypedDict('X', {'x': int}) M = Mapping[str, int] T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: X, y: M) -> None: pass reveal_type(f(g)) # N: Revealed type is "Never" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testMeetOfTypedDictWithIncompatibleMappingIsUninhabited] from typing import TypedDict, TypeVar, Callable, Mapping X = TypedDict('X', {'x': int}) M = Mapping[str, str] T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: X, y: M) -> None: pass reveal_type(f(g)) # N: Revealed type is "Never" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testMeetOfTypedDictWithCompatibleMappingSuperclassIsUninhabitedForNow] from typing import TypedDict, TypeVar, Callable, Iterable X = TypedDict('X', {'x': int}) I = Iterable[str] T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: X, y: I) -> None: pass reveal_type(f(g)) # N: Revealed type is "TypedDict('__main__.X', {'x': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testMeetOfTypedDictsWithNonTotal] from typing import TypedDict, TypeVar, Callable XY = TypedDict('XY', {'x': int, 'y': int}, total=False) YZ = TypedDict('YZ', {'y': int, 'z': int}, total=False) T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: XY, y: YZ) -> None: pass reveal_type(f(g)) # N: Revealed type is "TypedDict({'x'?: builtins.int, 'y'?: builtins.int, 'z'?: builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testMeetOfTypedDictsWithNonTotalAndTotal] from typing import TypedDict, TypeVar, Callable XY = TypedDict('XY', {'x': int}, total=False) YZ = TypedDict('YZ', {'y': int, 'z': int}) T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: XY, y: YZ) -> None: pass reveal_type(f(g)) # N: Revealed type is "TypedDict({'x'?: builtins.int, 'y': builtins.int, 'z': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testMeetOfTypedDictsWithIncompatibleNonTotalAndTotal] from typing import TypedDict, TypeVar, Callable XY = TypedDict('XY', {'x': int, 'y': int}, total=False) YZ = TypedDict('YZ', {'y': int, 'z': int}) T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: XY, y: YZ) -> None: pass reveal_type(f(g)) # N: Revealed type is "Never" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Constraint Solver [case testTypedDictConstraintsAgainstIterable] from typing import TypedDict, TypeVar, Iterable T = TypeVar('T') def f(x: Iterable[T]) -> T: pass A = TypedDict('A', {'x': int}) a: A reveal_type(f(a)) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- TODO: Figure out some way to trigger the ConstraintBuilderVisitor.visit_typeddict_type() path. -- Special Method: __getitem__ [case testCanGetItemOfTypedDictWithValidStringLiteralKey] from typing import TypedDict TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) p = TaggedPoint(type='2d', x=42, y=1337) reveal_type(p['type']) # N: Revealed type is "builtins.str" reveal_type(p['x']) # N: Revealed type is "builtins.int" reveal_type(p['y']) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotGetItemOfTypedDictWithInvalidStringLiteralKey] from typing import TypedDict TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) p: TaggedPoint p['typ'] # E: TypedDict "TaggedPoint" has no key "typ" \ # N: Did you mean "type"? [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotGetItemOfAnonymousTypedDictWithInvalidStringLiteralKey] from typing import TypedDict, TypeVar A = TypedDict('A', {'x': str, 'y': int, 'z': str}) B = TypedDict('B', {'x': str, 'z': int}) C = TypedDict('C', {'x': str, 'y': int, 'z': int}) T = TypeVar('T') def join(x: T, y: T) -> T: return x ab = join(A(x='', y=1, z=''), B(x='', z=1)) ac = join(A(x='', y=1, z=''), C(x='', y=0, z=1)) ab['y'] # E: "y" is not a valid TypedDict key; expected one of ("x") ac['a'] # E: "a" is not a valid TypedDict key; expected one of ("x", "y") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotGetItemOfTypedDictWithNonLiteralKey] from typing import TypedDict, Union TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) p = TaggedPoint(type='2d', x=42, y=1337) def get_coordinate(p: TaggedPoint, key: str) -> Union[str, int]: return p[key] # E: TypedDict key must be a string literal; expected one of ("type", "x", "y") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Special Method: __setitem__ [case testCanSetItemOfTypedDictWithValidStringLiteralKeyAndCompatibleValueType] from typing import TypedDict TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) p = TaggedPoint(type='2d', x=42, y=1337) p['type'] = 'two_d' p['x'] = 1 [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotSetItemOfTypedDictWithIncompatibleValueType] from typing import TypedDict TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) p = TaggedPoint(type='2d', x=42, y=1337) p['x'] = 'y' # E: Value of "x" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotSetItemOfTypedDictWithInvalidStringLiteralKey] from typing import TypedDict TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) p = TaggedPoint(type='2d', x=42, y=1337) p['z'] = 1 # E: TypedDict "TaggedPoint" has no key "z" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotSetItemOfTypedDictWithNonLiteralKey] from typing import TypedDict, Union TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) p = TaggedPoint(type='2d', x=42, y=1337) def set_coordinate(p: TaggedPoint, key: str, value: int) -> None: p[key] = value # E: TypedDict key must be a string literal; expected one of ("type", "x", "y") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- isinstance [case testTypedDictWithIsInstanceAndIsSubclass] from typing import TypedDict D = TypedDict('D', {'x': int}) d: object if isinstance(d, D): # E: Cannot use isinstance() with TypedDict type reveal_type(d) # N: Revealed type is "__main__.D" issubclass(object, D) # E: Cannot use issubclass() with TypedDict type [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-typeddict.pyi] -- Scoping [case testTypedDictInClassNamespace] # https://github.com/python/mypy/pull/2553#issuecomment-266474341 from typing import TypedDict class C: def f(self): A = TypedDict('A', {'x': int}) def g(self): A = TypedDict('A', {'y': int}) C.A # E: "type[C]" has no attribute "A" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictInFunction] from typing import TypedDict def f() -> None: A = TypedDict('A', {'x': int}) A # E: Name "A" is not defined [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Union simplification / proper subtype checks [case testTypedDictUnionSimplification] from typing import TypedDict, TypeVar, Union, Any, cast T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass C = TypedDict('C', {'a': int}) D = TypedDict('D', {'a': int, 'b': int}) E = TypedDict('E', {'a': str}) F = TypedDict('F', {'x': int}) G = TypedDict('G', {'a': Any}) c = C(a=1) d = D(a=1, b=1) e = E(a='') f = F(x=1) g = G(a=cast(Any, 1)) # Work around #2610 reveal_type(u(d, d)) # N: Revealed type is "TypedDict('__main__.D', {'a': builtins.int, 'b': builtins.int})" reveal_type(u(c, d)) # N: Revealed type is "TypedDict('__main__.C', {'a': builtins.int})" reveal_type(u(d, c)) # N: Revealed type is "TypedDict('__main__.C', {'a': builtins.int})" reveal_type(u(c, e)) # N: Revealed type is "Union[TypedDict('__main__.E', {'a': builtins.str}), TypedDict('__main__.C', {'a': builtins.int})]" reveal_type(u(e, c)) # N: Revealed type is "Union[TypedDict('__main__.C', {'a': builtins.int}), TypedDict('__main__.E', {'a': builtins.str})]" reveal_type(u(c, f)) # N: Revealed type is "Union[TypedDict('__main__.F', {'x': builtins.int}), TypedDict('__main__.C', {'a': builtins.int})]" reveal_type(u(f, c)) # N: Revealed type is "Union[TypedDict('__main__.C', {'a': builtins.int}), TypedDict('__main__.F', {'x': builtins.int})]" reveal_type(u(c, g)) # N: Revealed type is "Union[TypedDict('__main__.G', {'a': Any}), TypedDict('__main__.C', {'a': builtins.int})]" reveal_type(u(g, c)) # N: Revealed type is "Union[TypedDict('__main__.C', {'a': builtins.int}), TypedDict('__main__.G', {'a': Any})]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnionSimplification2] from typing import TypedDict, TypeVar, Union, Mapping, Any T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass C = TypedDict('C', {'a': int, 'b': int}) c = C(a=1, b=1) m_s_o: Mapping[str, object] m_s_s: Mapping[str, str] m_i_i: Mapping[int, int] m_s_a: Mapping[str, Any] reveal_type(u(c, m_s_o)) # N: Revealed type is "typing.Mapping[builtins.str, builtins.object]" reveal_type(u(m_s_o, c)) # N: Revealed type is "typing.Mapping[builtins.str, builtins.object]" reveal_type(u(c, m_s_s)) # N: Revealed type is "Union[typing.Mapping[builtins.str, builtins.str], TypedDict('__main__.C', {'a': builtins.int, 'b': builtins.int})]" reveal_type(u(c, m_i_i)) # N: Revealed type is "Union[typing.Mapping[builtins.int, builtins.int], TypedDict('__main__.C', {'a': builtins.int, 'b': builtins.int})]" reveal_type(u(c, m_s_a)) # N: Revealed type is "Union[typing.Mapping[builtins.str, Any], TypedDict('__main__.C', {'a': builtins.int, 'b': builtins.int})]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnionUnambiguousCase] from typing import Union, Literal, Mapping, TypedDict, Any, cast A = TypedDict('A', {'@type': Literal['a-type'], 'a': str}) B = TypedDict('B', {'@type': Literal['b-type'], 'b': int}) c: Union[A, B] = {'@type': 'a-type', 'a': 'Test'} reveal_type(c) # N: Revealed type is "Union[TypedDict('__main__.A', {'@type': Literal['a-type'], 'a': builtins.str}), TypedDict('__main__.B', {'@type': Literal['b-type'], 'b': builtins.int})]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnionAmbiguousCaseBothMatch] from typing import Union, Literal, Mapping, TypedDict, Any, cast A = TypedDict('A', {'@type': Literal['a-type'], 'value': str}) B = TypedDict('B', {'@type': Literal['b-type'], 'value': str}) c: Union[A, B] = {'@type': 'a-type', 'value': 'Test'} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnionAmbiguousCaseNoMatch] from typing import Union, Literal, Mapping, TypedDict, Any, cast A = TypedDict('A', {'@type': Literal['a-type'], 'value': int}) B = TypedDict('B', {'@type': Literal['b-type'], 'value': int}) c: Union[A, B] = {'@type': 'a-type', 'value': 'Test'} # E: Type of TypedDict is ambiguous, none of ("A", "B") matches cleanly \ # E: Incompatible types in assignment (expression has type "dict[str, str]", variable has type "Union[A, B]") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Use dict literals [case testTypedDictDictLiterals] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) def f(p: Point) -> None: if int(): p = {'x': 2, 'y': 3} p = {'x': 2} # E: Missing key "y" for TypedDict "Point" p = dict(x=2, y=3) f({'x': 1, 'y': 3}) f({'x': 1, 'y': 'z'}) # E: Incompatible types (expression has type "str", TypedDict item "y" has type "int") f(dict(x=1, y=3)) f(dict(x=1, y=3, z=4)) # E: Extra key "z" for TypedDict "Point" f(dict(x=1, y=3, z=4, a=5)) # E: Extra keys ("z", "a") for TypedDict "Point" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictExplicitTypes] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p1a: Point = {'x': 'hi'} # E: Missing key "y" for TypedDict "Point" p1b: Point = {} # E: Missing keys ("x", "y") for TypedDict "Point" p2: Point p2 = dict(x='bye') # E: Missing key "y" for TypedDict "Point" p3 = Point(x=1, y=2) if int(): p3 = {'x': 'hi'} # E: Missing key "y" for TypedDict "Point" p4: Point = {'x': 1, 'y': 2} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateAnonymousTypedDictInstanceUsingDictLiteralWithExtraItems] from typing import TypedDict, TypeVar A = TypedDict('A', {'x': int, 'y': int}) B = TypedDict('B', {'x': int, 'y': str}) T = TypeVar('T') def join(x: T, y: T) -> T: return x ab = join(A(x=1, y=1), B(x=1, y='')) if int(): ab = {'x': 1, 'z': 1} # E: Expected TypedDict key "x" but found keys ("x", "z") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateAnonymousTypedDictInstanceUsingDictLiteralWithMissingItems] from typing import TypedDict, TypeVar A = TypedDict('A', {'x': int, 'y': int, 'z': int}) B = TypedDict('B', {'x': int, 'y': int, 'z': str}) T = TypeVar('T') def join(x: T, y: T) -> T: return x ab = join(A(x=1, y=1, z=1), B(x=1, y=1, z='')) if int(): ab = {} # E: Expected TypedDict keys ("x", "y") but found no keys [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Other TypedDict methods [case testTypedDictGetMethodOverloads] from typing import TypedDict from typing_extensions import Required, NotRequired class D(TypedDict): a: int b: NotRequired[str] def test(d: D) -> None: reveal_type(d.get) # N: Revealed type is "Overload(def (k: builtins.str) -> builtins.object, def (builtins.str, builtins.object) -> builtins.object, def [V] (builtins.str, V`4) -> builtins.object)" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGetMethodTotalFalse] from typing import TypedDict, Literal class Unrelated: pass D = TypedDict('D', {'x': int, 'y': str}, total=False) d: D u: Unrelated x: Literal['x'] y: Literal['y'] z: Literal['z'] x_or_y: Literal['x', 'y'] x_or_z: Literal['x', 'z'] x_or_y_or_z: Literal['x', 'y', 'z'] # test with literal expression reveal_type(d.get('x')) # N: Revealed type is "Union[builtins.int, None]" reveal_type(d.get('y')) # N: Revealed type is "Union[builtins.str, None]" reveal_type(d.get('z')) # N: Revealed type is "builtins.object" reveal_type(d.get('x', u)) # N: Revealed type is "Union[builtins.int, __main__.Unrelated]" reveal_type(d.get('x', 1)) # N: Revealed type is "builtins.int" reveal_type(d.get('y', None)) # N: Revealed type is "Union[builtins.str, None]" # test with literal type / union of literal types with implicit default reveal_type(d.get(x)) # N: Revealed type is "Union[builtins.int, None]" reveal_type(d.get(y)) # N: Revealed type is "Union[builtins.str, None]" reveal_type(d.get(z)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y)) # N: Revealed type is "Union[builtins.int, builtins.str, None]" reveal_type(d.get(x_or_z)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y_or_z)) # N: Revealed type is "builtins.object" # test with literal type / union of literal types with explicit default reveal_type(d.get(x, u)) # N: Revealed type is "Union[builtins.int, __main__.Unrelated]" reveal_type(d.get(y, u)) # N: Revealed type is "Union[builtins.str, __main__.Unrelated]" reveal_type(d.get(z, u)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y, u)) # N: Revealed type is "Union[builtins.int, builtins.str, __main__.Unrelated]" reveal_type(d.get(x_or_z, u)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y_or_z, u)) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGetMethodTotalTrue] from typing import TypedDict, Literal class Unrelated: pass D = TypedDict('D', {'x': int, 'y': str}, total=True) d: D u: Unrelated x: Literal['x'] y: Literal['y'] z: Literal['z'] x_or_y: Literal['x', 'y'] x_or_z: Literal['x', 'z'] x_or_y_or_z: Literal['x', 'y', 'z'] # test with literal expression reveal_type(d.get('x')) # N: Revealed type is "builtins.int" reveal_type(d.get('y')) # N: Revealed type is "builtins.str" reveal_type(d.get('z')) # N: Revealed type is "builtins.object" reveal_type(d.get('x', u)) # N: Revealed type is "builtins.int" reveal_type(d.get('x', 1)) # N: Revealed type is "builtins.int" reveal_type(d.get('y', None)) # N: Revealed type is "builtins.str" # test with literal type / union of literal types with implicit default reveal_type(d.get(x)) # N: Revealed type is "builtins.int" reveal_type(d.get(y)) # N: Revealed type is "builtins.str" reveal_type(d.get(z)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y)) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(d.get(x_or_z)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y_or_z)) # N: Revealed type is "builtins.object" # test with literal type / union of literal types with explicit default reveal_type(d.get(x, u)) # N: Revealed type is "builtins.int" reveal_type(d.get(y, u)) # N: Revealed type is "builtins.str" reveal_type(d.get(z, u)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y, u)) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(d.get(x_or_z, u)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y_or_z, u)) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGetMethodTotalMixed] from typing import TypedDict, Literal from typing_extensions import Required, NotRequired class Unrelated: pass D = TypedDict('D', {'x': Required[int], 'y': NotRequired[str]}) d: D u: Unrelated x: Literal['x'] y: Literal['y'] z: Literal['z'] x_or_y: Literal['x', 'y'] x_or_z: Literal['x', 'z'] x_or_y_or_z: Literal['x', 'y', 'z'] # test with literal expression reveal_type(d.get('x')) # N: Revealed type is "builtins.int" reveal_type(d.get('y')) # N: Revealed type is "Union[builtins.str, None]" reveal_type(d.get('z')) # N: Revealed type is "builtins.object" reveal_type(d.get('x', u)) # N: Revealed type is "builtins.int" reveal_type(d.get('x', 1)) # N: Revealed type is "builtins.int" reveal_type(d.get('y', None)) # N: Revealed type is "Union[builtins.str, None]" # test with literal type / union of literal types with implicit default reveal_type(d.get(x)) # N: Revealed type is "builtins.int" reveal_type(d.get(y)) # N: Revealed type is "Union[builtins.str, None]" reveal_type(d.get(z)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y)) # N: Revealed type is "Union[builtins.int, builtins.str, None]" reveal_type(d.get(x_or_z)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y_or_z)) # N: Revealed type is "builtins.object" # test with literal type / union of literal types with explicit default reveal_type(d.get(x, u)) # N: Revealed type is "builtins.int" reveal_type(d.get(y, u)) # N: Revealed type is "Union[builtins.str, __main__.Unrelated]" reveal_type(d.get(z, u)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y, u)) # N: Revealed type is "Union[builtins.int, builtins.str, __main__.Unrelated]" reveal_type(d.get(x_or_z, u)) # N: Revealed type is "builtins.object" reveal_type(d.get(x_or_y_or_z, u)) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGetMethodTypeContext] from typing import List, TypedDict class A: pass D = TypedDict('D', {'x': List[int], 'y': int}, total=False) d: D reveal_type(d.get('x', [])) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(d.get('x', ['x'])) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.list[builtins.str]]" a = [''] reveal_type(d.get('x', a)) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.list[builtins.str]]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGetMethodInvalidArgs] from typing import TypedDict D = TypedDict('D', {'x': int, 'y': str}) d: D d.get() # E: All overload variants of "get" of "Mapping" require at least one argument \ # N: Possible overload variants: \ # N: def get(self, k: str) -> object \ # N: def get(self, str, object, /) -> object \ # N: def [V] get(self, str, V, /) -> object d.get('x', 1, 2) # E: No overload variant of "get" of "Mapping" matches argument types "str", "int", "int" \ # N: Possible overload variants: \ # N: def get(self, k: str) -> object \ # N: def get(self, str, object, /) -> object \ # N: def [V] get(self, str, Union[int, V], /) -> object x = d.get('z') reveal_type(x) # N: Revealed type is "builtins.object" s = '' y = d.get(s) reveal_type(y) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictMissingMethod] from typing import TypedDict D = TypedDict('D', {'x': int, 'y': str}) d: D d.bad(1) # E: "D" has no attribute "bad" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictChainedGetMethodWithDictFallback] from typing import TypedDict D = TypedDict('D', {'x': int, 'y': str}) E = TypedDict('E', {'d': D}) p = E(d=D(x=0, y='')) reveal_type(p.get('d', {'x': 1, 'y': ''})) # N: Revealed type is "TypedDict('__main__.D', {'x': builtins.int, 'y': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGetDefaultParameterStillTypeChecked] from typing import TypedDict TaggedPoint = TypedDict('TaggedPoint', {'type': str, 'x': int, 'y': int}) p = TaggedPoint(type='2d', x=42, y=1337) p.get('x', 1 + 'y') # E: Unsupported operand types for + ("int" and "str") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictChainedGetWithEmptyDictDefault] from typing import TypedDict C = TypedDict('C', {'a': int}, total=True) D = TypedDict('D', {'x': C, 'y': str}, total=False) d: D reveal_type(d.get('x', {})) # N: Revealed type is "TypedDict('__main__.C', {'a'?: builtins.int})" reveal_type(d.get('x', None)) # N: Revealed type is "Union[TypedDict('__main__.C', {'a': builtins.int}), None]" reveal_type(d.get('x', {}).get('a')) # N: Revealed type is "Union[builtins.int, None]" reveal_type(d.get('x', {})['a']) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictChainedGetWithEmptyDictDefault2] from typing import TypedDict C = TypedDict('C', {'a': int}, total=False) D = TypedDict('D', {'x': C, 'y': str}, total=True) d: D reveal_type(d.get('x', {})) # N: Revealed type is "TypedDict('__main__.C', {'a'?: builtins.int})" reveal_type(d.get('x', None)) # N: Revealed type is "TypedDict('__main__.C', {'a'?: builtins.int})" reveal_type(d.get('x', {}).get('a')) # N: Revealed type is "Union[builtins.int, None]" reveal_type(d.get('x', {})['a']) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictChainedGetWithEmptyDictDefault3] from typing import TypedDict C = TypedDict('C', {'a': int}, total=True) D = TypedDict('D', {'x': C, 'y': str}, total=True) d: D reveal_type(d.get('x', {})) # N: Revealed type is "TypedDict('__main__.C', {'a': builtins.int})" reveal_type(d.get('x', None)) # N: Revealed type is "TypedDict('__main__.C', {'a': builtins.int})" reveal_type(d.get('x', {}).get('a')) # N: Revealed type is "builtins.int" reveal_type(d.get('x', {})['a']) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictChainedGetWithEmptyDictDefault4] from typing import TypedDict C = TypedDict('C', {'a': int}, total=False) D = TypedDict('D', {'x': C, 'y': str}, total=False) d: D reveal_type(d.get('x', {})) # N: Revealed type is "TypedDict('__main__.C', {'a'?: builtins.int})" reveal_type(d.get('x', None)) # N: Revealed type is "Union[TypedDict('__main__.C', {'a'?: builtins.int}), None]" reveal_type(d.get('x', {}).get('a')) # N: Revealed type is "Union[builtins.int, None]" reveal_type(d.get('x', {})['a']) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGetMethodChained] # check that chaining with get like ``.get(key, {}).get(subkey, {})`` works. from typing import TypedDict, Mapping from typing_extensions import Required, NotRequired, Never class Total(TypedDict, total=True): # no keys optional key_one: int key_two: str class Maybe(TypedDict, total=False): # all keys are optional key_one: int key_two: str class Mixed(TypedDict): # some keys optional key_one: Required[int] key_two: NotRequired[str] class Config(TypedDict): required_total: Required[Total] optional_total: NotRequired[Total] required_mixed: Required[Mixed] optional_mixed: NotRequired[Mixed] required_maybe: Required[Maybe] optional_maybe: NotRequired[Maybe] def test_chaining(d: Config) -> None: reveal_type( d.get("required_total", {}) ) # N: Revealed type is "TypedDict('__main__.Total', {'key_one': builtins.int, 'key_two': builtins.str})" reveal_type( d.get("optional_total", {}) ) # N: Revealed type is "TypedDict('__main__.Total', {'key_one'?: builtins.int, 'key_two'?: builtins.str})" reveal_type( d.get("required_maybe", {}) ) # N: Revealed type is "TypedDict('__main__.Maybe', {'key_one'?: builtins.int, 'key_two'?: builtins.str})" reveal_type( d.get("optional_maybe", {}) ) # N: Revealed type is "TypedDict('__main__.Maybe', {'key_one'?: builtins.int, 'key_two'?: builtins.str})" reveal_type( d.get("required_mixed", {}) ) # N: Revealed type is "TypedDict('__main__.Mixed', {'key_one': builtins.int, 'key_two'?: builtins.str})" reveal_type( d.get("optional_mixed", {}) ) # N: Revealed type is "TypedDict('__main__.Mixed', {'key_one'?: builtins.int, 'key_two'?: builtins.str})" reveal_type( d.get("required_total", {}).get("key_one") ) # N: Revealed type is "builtins.int" reveal_type( d.get("required_total", {}).get("key_two") ) # N: Revealed type is "builtins.str" reveal_type( d.get("required_total", {}).get("bad_key") ) # N: Revealed type is "builtins.object" reveal_type( d.get("optional_total", {}).get("key_one") ) # N: Revealed type is "Union[builtins.int, None]" reveal_type( d.get("optional_total", {}).get("key_two") ) # N: Revealed type is "Union[builtins.str, None]" reveal_type( d.get("optional_total", {}).get("bad_key") ) # N: Revealed type is "builtins.object" reveal_type( d.get("required_maybe", {}).get("key_one") ) # N: Revealed type is "Union[builtins.int, None]" reveal_type( d.get("required_maybe", {}).get("key_two") ) # N: Revealed type is "Union[builtins.str, None]" reveal_type( d.get("required_maybe", {}).get("bad_key") ) # N: Revealed type is "builtins.object" reveal_type( d.get("optional_maybe", {}).get("key_one") ) # N: Revealed type is "Union[builtins.int, None]" reveal_type( d.get("optional_maybe", {}).get("key_two") ) # N: Revealed type is "Union[builtins.str, None]" reveal_type( d.get("optional_maybe", {}).get("bad_key") ) # N: Revealed type is "builtins.object" reveal_type( d.get("required_mixed", {}).get("key_one") ) # N: Revealed type is "builtins.int" reveal_type( d.get("required_mixed", {}).get("key_two") ) # N: Revealed type is "Union[builtins.str, None]" reveal_type( d.get("required_mixed", {}).get("bad_key") ) # N: Revealed type is "builtins.object" reveal_type( d.get("optional_mixed", {}).get("key_one") ) # N: Revealed type is "Union[builtins.int, None]" reveal_type( d.get("optional_mixed", {}).get("key_two") ) # N: Revealed type is "Union[builtins.str, None]" reveal_type( d.get("optional_mixed", {}).get("bad_key") ) # N: Revealed type is "builtins.object" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGetWithNestedUnionOfTypedDicts] # https://github.com/python/mypy/issues/19902 from typing import TypedDict, Union from typing_extensions import TypeAlias, NotRequired class A(TypedDict): key: NotRequired[int] class B(TypedDict): key: NotRequired[int] class C(TypedDict): key: NotRequired[int] A_or_B: TypeAlias = Union[A, B] A_or_B_or_C: TypeAlias = Union[A_or_B, C] def test(d: A_or_B_or_C) -> None: reveal_type(d.get("key")) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Totality (the "total" keyword argument) [case testTypedDictWithTotalTrue] from typing import TypedDict D = TypedDict('D', {'x': int, 'y': str}, total=True) d: D reveal_type(d) \ # N: Revealed type is "TypedDict('__main__.D', {'x': builtins.int, 'y': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictWithInvalidTotalArgument] from typing import TypedDict A = TypedDict('A', {'x': int}, total=0) # E: "total" argument must be a True or False literal B = TypedDict('B', {'x': int}, total=bool) # E: "total" argument must be a True or False literal C = TypedDict('C', {'x': int}, x=False) # E: Unexpected keyword argument "x" for "TypedDict" D = TypedDict('D', {'x': int}, False) # E: Unexpected arguments to TypedDict() [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictWithTotalFalse] from typing import TypedDict D = TypedDict('D', {'x': int, 'y': str}, total=False) def f(d: D) -> None: reveal_type(d) # N: Revealed type is "TypedDict('__main__.D', {'x'?: builtins.int, 'y'?: builtins.str})" f({}) f({'x': 1}) f({'y': ''}) f({'x': 1, 'y': ''}) f({'x': 1, 'z': ''}) # E: Extra key "z" for TypedDict "D" f({'x': ''}) # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictConstructorWithTotalFalse] from typing import TypedDict D = TypedDict('D', {'x': int, 'y': str}, total=False) def f(d: D) -> None: pass reveal_type(D()) # N: Revealed type is "TypedDict('__main__.D', {'x'?: builtins.int, 'y'?: builtins.str})" reveal_type(D(x=1)) # N: Revealed type is "TypedDict('__main__.D', {'x'?: builtins.int, 'y'?: builtins.str})" f(D(y='')) f(D(x=1, y='')) f(D(x=1, z='')) # E: Extra key "z" for TypedDict "D" f(D(x='')) # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictIndexingWithNonRequiredKey] from typing import TypedDict D = TypedDict('D', {'x': int, 'y': str}, total=False) d: D reveal_type(d['x']) # N: Revealed type is "builtins.int" reveal_type(d['y']) # N: Revealed type is "builtins.str" reveal_type(d.get('x')) # N: Revealed type is "Union[builtins.int, None]" reveal_type(d.get('y')) # N: Revealed type is "Union[builtins.str, None]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictSubtypingWithTotalFalse] from typing import TypedDict A = TypedDict('A', {'x': int}) B = TypedDict('B', {'x': int}, total=False) C = TypedDict('C', {'x': int, 'y': str}, total=False) def fa(a: A) -> None: pass def fb(b: B) -> None: pass def fc(c: C) -> None: pass a: A b: B c: C fb(b) fc(c) fb(c) fb(a) # E: Argument 1 to "fb" has incompatible type "A"; expected "B" fa(b) # E: Argument 1 to "fa" has incompatible type "B"; expected "A" fc(b) # E: Argument 1 to "fc" has incompatible type "B"; expected "C" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictJoinWithTotalFalse] from typing import TypedDict, TypeVar A = TypedDict('A', {'x': int}) B = TypedDict('B', {'x': int}, total=False) C = TypedDict('C', {'x': int, 'y': str}, total=False) T = TypeVar('T') def j(x: T, y: T) -> T: return x a: A b: B c: C reveal_type(j(a, b)) \ # N: Revealed type is "TypedDict({})" reveal_type(j(b, b)) \ # N: Revealed type is "TypedDict({'x'?: builtins.int})" reveal_type(j(c, c)) \ # N: Revealed type is "TypedDict({'x'?: builtins.int, 'y'?: builtins.str})" reveal_type(j(b, c)) \ # N: Revealed type is "TypedDict({'x'?: builtins.int})" reveal_type(j(c, b)) \ # N: Revealed type is "TypedDict({'x'?: builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictClassWithTotalArgument] from typing import TypedDict class D(TypedDict, total=False): x: int y: str d: D reveal_type(d) # N: Revealed type is "TypedDict('__main__.D', {'x'?: builtins.int, 'y'?: builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictClassWithInvalidTotalArgument] from typing import TypedDict class D(TypedDict, total=1): # E: "total" argument must be a True or False literal x: int class E(TypedDict, total=bool): # E: "total" argument must be a True or False literal x: int class F(TypedDict, total=xyz): # E: Name "xyz" is not defined \ # E: "total" argument must be a True or False literal x: int [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictClassInheritanceWithTotalArgument] from typing import TypedDict class A(TypedDict): x: int class B(TypedDict, A, total=False): y: int class C(TypedDict, B, total=True): z: str c: C reveal_type(c) # N: Revealed type is "TypedDict('__main__.C', {'x': builtins.int, 'y'?: builtins.int, 'z': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNonTotalTypedDictInErrorMessages] from typing import TypedDict A = TypedDict('A', {'x': int, 'y': str}, total=False) B = TypedDict('B', {'x': int, 'z': str, 'a': int}, total=False) C = TypedDict('C', {'x': int, 'z': str, 'a': str}, total=False) a: A b: B c: C def f(a: A) -> None: pass l = [a, b] # Join generates an anonymous TypedDict f(l) # E: Argument 1 to "f" has incompatible type "list[TypedDict({'x'?: int})]"; expected "A" ll = [b, c] f(ll) # E: Argument 1 to "f" has incompatible type "list[TypedDict({'x'?: int, 'z'?: str})]"; expected "A" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNonTotalTypedDictCanBeEmpty] # flags: --warn-unreachable from typing import TypedDict class A(TypedDict): ... class B(TypedDict, total=False): x: int a: A = {} b: B = {} if not a: reveal_type(a) # N: Revealed type is "TypedDict('__main__.A', {})" if not b: reveal_type(b) # N: Revealed type is "TypedDict('__main__.B', {'x'?: builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Create Type (Errors) [case testCannotCreateTypedDictTypeWithTooFewArguments] from typing import TypedDict Point = TypedDict('Point') # E: Too few arguments for TypedDict() [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictTypeWithTooManyArguments] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}, dict) # E: Unexpected arguments to TypedDict() [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictTypeWithInvalidName] from typing import TypedDict Point = TypedDict(dict, {'x': int, 'y': int}) # E: TypedDict() expects a string literal as the first argument [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictTypeWithInvalidItems] from typing import TypedDict Point = TypedDict('Point', {'x'}) # E: TypedDict() expects a dictionary literal as the second argument [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictTypeWithKwargs] from typing import TypedDict d = {'x': int, 'y': int} Point = TypedDict('Point', {**d}) # E: Invalid TypedDict() field name [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictTypeWithBytes] from typing import TypedDict Point = TypedDict(b'Point', {'x': int, 'y': int}) # E: TypedDict() expects a string literal as the first argument # This technically works at runtime but doesn't make sense. Point2 = TypedDict('Point2', {b'x': int}) # E: Invalid TypedDict() field name [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- NOTE: The following code works at runtime but is not yet supported by mypy. -- Keyword arguments may potentially be supported in the future. [case testCannotCreateTypedDictTypeWithNonpositionalArgs] from typing import TypedDict Point = TypedDict(typename='Point', fields={'x': int, 'y': int}) # E: Unexpected arguments to TypedDict() [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictTypeWithInvalidItemName] from typing import TypedDict Point = TypedDict('Point', {int: int, int: int}) # E: Invalid TypedDict() field name [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictTypeWithInvalidItemType] from typing import TypedDict Point = TypedDict('Point', {'x': 1, 'y': 1}) # E: Invalid type: try using Literal[1] instead? [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCannotCreateTypedDictTypeWithInvalidName2] from typing import TypedDict X = TypedDict('Y', {'x': int}) # E: First argument "Y" to TypedDict() does not match variable name "X" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Overloading [case testTypedDictOverloading] from typing import overload, Iterable, TypedDict A = TypedDict('A', {'x': int}) @overload def f(x: Iterable[str]) -> str: ... @overload def f(x: int) -> int: ... def f(x): pass a: A reveal_type(f(a)) # N: Revealed type is "builtins.str" reveal_type(f(1)) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverloading2] from typing import overload, Iterable, TypedDict A = TypedDict('A', {'x': int}) @overload def f(x: Iterable[int]) -> None: ... @overload def f(x: int) -> None: ... def f(x): pass a: A f(a) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] main:12: error: Argument 1 to "f" has incompatible type "A"; expected "Iterable[int]" main:12: note: Following member(s) of "A" have conflicts: main:12: note: Expected: main:12: note: def __iter__(self) -> Iterator[int] main:12: note: Got: main:12: note: def __iter__(self) -> Iterator[str] [case testTypedDictOverloading3] from typing import TypedDict, overload A = TypedDict('A', {'x': int}) @overload def f(x: str) -> None: ... @overload def f(x: int) -> None: ... def f(x): pass a: A f(a) # E: No overload variant of "f" matches argument type "A" \ # N: Possible overload variants: \ # N: def f(x: str) -> None \ # N: def f(x: int) -> None [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverloading4] from typing import TypedDict, overload A = TypedDict('A', {'x': int}) B = TypedDict('B', {'x': str}) @overload def f(x: A) -> int: ... @overload def f(x: int) -> str: ... def f(x): pass a: A b: B reveal_type(f(a)) # N: Revealed type is "builtins.int" reveal_type(f(1)) # N: Revealed type is "builtins.str" f(b) # E: Argument 1 to "f" has incompatible type "B"; expected "A" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverloading5] from typing import TypedDict, overload A = TypedDict('A', {'x': int}) B = TypedDict('B', {'y': str}) C = TypedDict('C', {'y': int}) @overload def f(x: A) -> None: ... @overload def f(x: B) -> None: ... def f(x): pass a: A b: B c: C f(a) f(b) f(c) # E: Argument 1 to "f" has incompatible type "C"; expected "A" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverloading6] from typing import TypedDict, overload A = TypedDict('A', {'x': int}) B = TypedDict('B', {'y': str}) @overload def f(x: A) -> int: ... @overload def f(x: B) -> str: ... def f(x): pass a: A b: B reveal_type(f(a)) # N: Revealed type is "builtins.int" reveal_type(f(b)) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] -- Special cases [case testForwardReferenceInTypedDict] from typing import TypedDict, Mapping X = TypedDict('X', {'b': 'B', 'c': 'C'}) class B: pass class C(B): pass x: X reveal_type(x) # N: Revealed type is "TypedDict('__main__.X', {'b': __main__.B, 'c': __main__.C})" m1: Mapping[str, object] = x m2: Mapping[str, B] = x # E: Incompatible types in assignment (expression has type "X", variable has type "Mapping[str, B]") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testForwardReferenceInClassTypedDict] from typing import TypedDict, Mapping class X(TypedDict): b: 'B' c: 'C' class B: pass class C(B): pass x: X reveal_type(x) # N: Revealed type is "TypedDict('__main__.X', {'b': __main__.B, 'c': __main__.C})" m1: Mapping[str, object] = x m2: Mapping[str, B] = x # E: Incompatible types in assignment (expression has type "X", variable has type "Mapping[str, B]") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testForwardReferenceToTypedDictInTypedDict] from typing import TypedDict, Mapping X = TypedDict('X', {'a': 'A'}) A = TypedDict('A', {'b': int}) x: X reveal_type(x) # N: Revealed type is "TypedDict('__main__.X', {'a': TypedDict('__main__.A', {'b': builtins.int})})" reveal_type(x['a']['b']) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testSelfRecursiveTypedDictInheriting] from typing import TypedDict def test() -> None: class MovieBase(TypedDict): name: str year: int class Movie(MovieBase): director: 'Movie' # E: Cannot resolve name "Movie" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope m: Movie reveal_type(m['director']['name']) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testSubclassOfRecursiveTypedDict] from typing import List, TypedDict def test() -> None: class Command(TypedDict): subcommands: List['Command'] # E: Cannot resolve name "Command" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope class HelpCommand(Command): pass hc = HelpCommand(subcommands=[]) reveal_type(hc) # N: Revealed type is "TypedDict('__main__.HelpCommand@7', {'subcommands': builtins.list[Any]})" [builtins fixtures/list.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testTypedDictForwardAsUpperBound] from typing import TypedDict, TypeVar, Generic T = TypeVar('T', bound='M') class G(Generic[T]): x: T yb: G[int] # E: Type argument "int" of "G" must be a subtype of "M" yg: G[M] z: int = G[M]().x['x'] # type: ignore[used-before-def] class M(TypedDict): x: int [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testTypedDictWithImportCycleForward] import a [file a.py] from typing import TypedDict from b import f N = TypedDict('N', {'a': str}) [file b.py] import a def f(x: a.N) -> None: reveal_type(x) reveal_type(x['a']) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] tmp/b.py:4: note: Revealed type is "TypedDict('a.N', {'a': builtins.str})" tmp/b.py:5: note: Revealed type is "builtins.str" [case testTypedDictImportCycle] import b [file a.py] class C: pass from b import tp x: tp reveal_type(x['x']) # N: Revealed type is "builtins.int" reveal_type(tp) # N: Revealed type is "def (*, x: builtins.int) -> TypedDict('b.tp', {'x': builtins.int})" tp(x='no') # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") [file b.py] from a import C from typing import TypedDict tp = TypedDict('tp', {'x': int}) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testTypedDictAsStarStarArg] from typing import TypedDict A = TypedDict('A', {'x': int, 'y': str}) class B: pass def f1(x: int, y: str) -> None: ... def f2(x: int, y: int) -> None: ... def f3(x: B, y: str) -> None: ... def f4(x: int) -> None: pass def f5(x: int, y: str, z: int) -> None: pass def f6(x: int, z: str) -> None: pass a: A f1(**a) f2(**a) # E: Argument "y" to "f2" has incompatible type "str"; expected "int" f3(**a) # E: Argument "x" to "f3" has incompatible type "int"; expected "B" f4(**a) # E: Extra argument "y" from **args for "f4" f5(**a) # E: Missing positional arguments "y", "z" in call to "f5" f6(**a) # E: Extra argument "y" from **args for "f6" f1(1, **a) # E: "f1" gets multiple values for keyword argument "x" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAsStarStarArgConstraints] from typing import TypedDict, TypeVar, Union T = TypeVar('T') S = TypeVar('S') def f1(x: T, y: S) -> Union[T, S]: ... A = TypedDict('A', {'y': int, 'x': str}) a: A reveal_type(f1(**a)) # N: Revealed type is "Union[builtins.str, builtins.int]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAsStarStarArgCalleeKwargs] from typing import TypedDict A = TypedDict('A', {'x': int, 'y': str}) B = TypedDict('B', {'x': str, 'y': str}) def f(**kwargs: str) -> None: ... def g(x: int, **kwargs: str) -> None: ... a: A b: B f(**a) # E: Argument 1 to "f" has incompatible type "**A"; expected "str" f(**b) g(**a) g(**b) # E: Argument "x" to "g" has incompatible type "str"; expected "int" g(1, **a) # E: "g" gets multiple values for keyword argument "x" g(1, **b) # E: "g" gets multiple values for keyword argument "x" \ # E: Argument "x" to "g" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAsStarStarTwice] from typing import TypedDict A = TypedDict('A', {'x': int, 'y': str}) B = TypedDict('B', {'z': bytes}) C = TypedDict('C', {'x': str, 'z': bytes}) def f1(x: int, y: str, z: bytes) -> None: ... def f2(x: int, y: float, z: bytes) -> None: ... def f3(x: int, y: str, z: float) -> None: ... a: A b: B c: C f1(**a, **b) f1(**b, **a) f2(**a, **b) # E: Argument "y" to "f2" has incompatible type "str"; expected "float" f3(**a, **b) # E: Argument "z" to "f3" has incompatible type "bytes"; expected "float" f3(**b, **a) # E: Argument "z" to "f3" has incompatible type "bytes"; expected "float" f1(**a, **c) # E: "f1" gets multiple values for keyword argument "x" \ # E: Argument "x" to "f1" has incompatible type "str"; expected "int" f1(**c, **a) # E: "f1" gets multiple values for keyword argument "x" \ # E: Argument "x" to "f1" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAsStarStarAndDictAsStarStar] from typing import Any, Dict, TypedDict TD = TypedDict('TD', {'x': int, 'y': str}) def f1(x: int, y: str, z: bytes) -> None: ... def f2(x: int, y: str) -> None: ... td: TD d: Dict[Any, Any] f1(**td, **d) f1(**d, **td) f2(**td, **d) f2(**d, **td) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictNonMappingMethods] from typing import List, TypedDict A = TypedDict('A', {'x': int, 'y': List[int]}) a: A reveal_type(a.copy()) # N: Revealed type is "TypedDict('__main__.A', {'x': builtins.int, 'y': builtins.list[builtins.int]})" a.has_key('x') # E: "A" has no attribute "has_key" # TODO: Better error message a.clear() # E: "A" has no attribute "clear" a.setdefault('invalid', 1) # E: TypedDict "A" has no key "invalid" reveal_type(a.setdefault('x', 1)) # N: Revealed type is "builtins.int" reveal_type(a.setdefault('y', [])) # N: Revealed type is "builtins.list[builtins.int]" a.setdefault('y', '') # E: Argument 2 to "setdefault" of "TypedDict" has incompatible type "str"; expected "list[int]" x = '' a.setdefault(x, 1) # E: Expected TypedDict key to be string literal alias = a.setdefault alias(x, 1) # E: Argument 1 has incompatible type "str"; expected "Never" a.update({}) a.update({'x': 1}) a.update({'x': ''}) # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") a.update({'x': 1, 'y': []}) a.update({'x': 1, 'y': [1]}) a.update({'z': 1}) # E: Unexpected TypedDict key "z" a.update({'z': 1, 'zz': 1}) # E: Unexpected TypedDict keys ("z", "zz") a.update({'z': 1, 'x': 1}) # E: Expected TypedDict key "x" but found keys ("z", "x") d = {'x': 1} a.update(d) # E: Argument 1 to "update" of "TypedDict" has incompatible type "dict[str, int]"; expected "TypedDict({'x'?: int, 'y'?: list[int]})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictPopMethod] from typing import List, TypedDict A = TypedDict('A', {'x': int, 'y': List[int]}, total=False) B = TypedDict('B', {'x': int}) a: A b: B reveal_type(a.pop('x')) # N: Revealed type is "builtins.int" reveal_type(a.pop('y', [])) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(a.pop('x', '')) # N: Revealed type is "Union[builtins.int, Literal['']?]" reveal_type(a.pop('x', (1, 2))) # N: Revealed type is "Union[builtins.int, tuple[Literal[1]?, Literal[2]?]]" a.pop('invalid', '') # E: TypedDict "A" has no key "invalid" b.pop('x') # E: Key "x" of TypedDict "B" cannot be deleted x = '' b.pop(x) # E: Expected TypedDict key to be string literal pop = b.pop pop('x') # E: Argument 1 has incompatible type "str"; expected "Never" pop('invalid') # E: Argument 1 has incompatible type "str"; expected "Never" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictDel] from typing import List, TypedDict A = TypedDict('A', {'x': int, 'y': List[int]}, total=False) B = TypedDict('B', {'x': int}) a: A b: B del a['x'] del a['invalid'] # E: TypedDict "A" has no key "invalid" del b['x'] # E: Key "x" of TypedDict "B" cannot be deleted s = '' del a[s] # E: Expected TypedDict key to be string literal del b[s] # E: Expected TypedDict key to be string literal alias = b.__delitem__ alias('x') alias(s) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testPluginUnionsOfTypedDicts] from typing import TypedDict, Union class TDA(TypedDict): a: int b: str class TDB(TypedDict): a: int b: int c: int td: Union[TDA, TDB] reveal_type(td.get('a')) # N: Revealed type is "builtins.int" reveal_type(td.get('b')) # N: Revealed type is "Union[builtins.str, builtins.int]" reveal_type(td.get('c')) # N: Revealed type is "builtins.object" reveal_type(td['a']) # N: Revealed type is "builtins.int" reveal_type(td['b']) # N: Revealed type is "Union[builtins.str, builtins.int]" reveal_type(td['c']) # N: Revealed type is "Union[Any, builtins.int]" \ # E: TypedDict "TDA" has no key "c" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testPluginUnionsOfTypedDictsNonTotal] from typing import TypedDict, Union class TDA(TypedDict, total=False): a: int b: str class TDB(TypedDict, total=False): a: int b: int c: int td: Union[TDA, TDB] reveal_type(td.pop('a')) # N: Revealed type is "builtins.int" reveal_type(td.pop('b')) # N: Revealed type is "Union[builtins.str, builtins.int]" reveal_type(td.pop('c')) # N: Revealed type is "Union[Any, builtins.int]" \ # E: TypedDict "TDA" has no key "c" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictWithTypingExtensions] from typing_extensions import TypedDict class Point(TypedDict): x: int y: int p = Point(x=42, y=1337) reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, 'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateTypedDictWithTypingProper] from typing import TypedDict class Point(TypedDict): x: int y: int p = Point(x=42, y=1337) reveal_type(p) # N: Revealed type is "TypedDict('__main__.Point', {'x': builtins.int, 'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOptionalUpdate] from typing import TypedDict, Union class A(TypedDict): x: int d: A d.update({'x': 1}) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDict] # mypy: strict-equality from typing import TypedDict, Dict class Config(TypedDict): a: str b: str x: Dict[str, str] y: Config x == y [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictNonOverlapping] # mypy: strict-equality from typing import TypedDict, Dict class Config(TypedDict): a: str b: int x: Dict[str, str] y: Config x == y # E: Non-overlapping equality check (left operand type: "dict[str, str]", right operand type: "Config") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictNonTotal] # mypy: strict-equality from typing import TypedDict, Dict class Config(TypedDict, total=False): a: str b: int x: Dict[str, str] y: Config x == y [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictNonTotalNonOverlapping] # mypy: strict-equality from typing import TypedDict, Dict class Config(TypedDict, total=False): a: int b: int x: Dict[str, str] y: Config x == y # E: Non-overlapping equality check (left operand type: "dict[str, str]", right operand type: "Config") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictEmpty] # mypy: strict-equality from typing import TypedDict class Config(TypedDict): a: str b: str x: Config x == {} # E: Non-overlapping equality check (left operand type: "Config", right operand type: "dict[Never, Never]") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictNonTotalEmpty] # mypy: strict-equality from typing import TypedDict class Config(TypedDict, total=False): a: str b: str x: Config x == {} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictNonStrKey] # mypy: strict-equality from typing import TypedDict, Dict, Union class Config(TypedDict): a: str b: str x: Config y: Dict[Union[str, int], str] x == y [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictOverload] from typing import overload, TypedDict, Dict class Map(TypedDict): x: int y: str @overload def func(x: Map) -> int: ... @overload def func(x: Dict[str, str]) -> str: ... def func(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictOverloadBad] from typing import overload, TypedDict, Dict class Map(TypedDict, total=False): x: int y: str @overload def func(x: Map) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def func(x: Dict[str, str]) -> str: ... def func(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictOverloadMappingBad] from typing import overload, TypedDict, Mapping class Map(TypedDict, total=False): x: int y: str @overload def func(x: Map) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def func(x: Mapping[str, str]) -> str: ... def func(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictOverlapWithDictOverloadNonStrKey] from typing import overload, TypedDict, Dict class Map(TypedDict): x: str y: str @overload def func(x: Map) -> int: ... @overload def func(x: Dict[int, str]) -> str: ... def func(x): pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictIsInstance] from typing import TypedDict, Union class User(TypedDict): id: int name: str u: Union[str, User] u2: User if isinstance(u, dict): reveal_type(u) # N: Revealed type is "TypedDict('__main__.User', {'id': builtins.int, 'name': builtins.str})" else: reveal_type(u) # N: Revealed type is "builtins.str" assert isinstance(u2, dict) reveal_type(u2) # N: Revealed type is "TypedDict('__main__.User', {'id': builtins.int, 'name': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictIsInstanceABCs] from typing import TypedDict, Union, Mapping, Iterable class User(TypedDict): id: int name: str u: Union[int, User] u2: User if isinstance(u, Iterable): reveal_type(u) # N: Revealed type is "TypedDict('__main__.User', {'id': builtins.int, 'name': builtins.str})" else: reveal_type(u) # N: Revealed type is "builtins.int" assert isinstance(u2, Mapping) reveal_type(u2) # N: Revealed type is "TypedDict('__main__.User', {'id': builtins.int, 'name': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testTypedDictLiteralTypeKeyInCreation] from typing import TypedDict, Final, Literal class Value(TypedDict): num: int num: Final = 'num' v: Value = {num: 5} v = {num: ''} # E: Incompatible types (expression has type "str", TypedDict item "num" has type "int") bad: Final = 2 v = {bad: 3} # E: Expected TypedDict key to be string literal union: Literal['num', 'foo'] v = {union: 2} # E: Expected TypedDict key to be string literal num2: Literal['num'] v = {num2: 2} bad2: Literal['bad'] v = {bad2: 2} # E: Missing key "num" for TypedDict "Value" \ # E: Extra key "bad" for TypedDict "Value" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testOperatorContainsNarrowsTypedDicts_unionWithList] from __future__ import annotations from typing import assert_type, final, TypedDict, Union @final class D(TypedDict): foo: int d_or_list: D | list[str] if 'foo' in d_or_list: assert_type(d_or_list, Union[D, list[str]]) elif 'bar' in d_or_list: assert_type(d_or_list, list[str]) else: assert_type(d_or_list, list[str]) [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testOperatorContainsNarrowsTypedDicts_total] from __future__ import annotations from typing import assert_type, final, Literal, TypedDict, TypeVar, Union @final class D1(TypedDict): foo: int @final class D2(TypedDict): bar: int d: D1 | D2 if 'foo' in d: assert_type(d, D1) else: assert_type(d, D2) foo_or_bar: Literal['foo', 'bar'] if foo_or_bar in d: assert_type(d, Union[D1, D2]) else: assert_type(d, Union[D1, D2]) foo_or_invalid: Literal['foo', 'invalid'] if foo_or_invalid in d: assert_type(d, D1) # won't narrow 'foo_or_invalid' assert_type(foo_or_invalid, Literal['foo', 'invalid']) else: assert_type(d, Union[D1, D2]) # won't narrow 'foo_or_invalid' assert_type(foo_or_invalid, Literal['foo', 'invalid']) TD = TypeVar('TD', D1, D2) def f(arg: TD) -> None: value: int if 'foo' in arg: assert_type(arg['foo'], int) else: assert_type(arg['bar'], int) [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testOperatorContainsNarrowsTypedDicts_final] # flags: --warn-unreachable from __future__ import annotations from typing import assert_type, final, TypedDict, Union @final class DFinal(TypedDict): foo: int class DNotFinal(TypedDict): bar: int d_not_final: DNotFinal if 'bar' in d_not_final: assert_type(d_not_final, DNotFinal) else: spam = 'ham' # E: Statement is unreachable if 'spam' in d_not_final: assert_type(d_not_final, DNotFinal) else: assert_type(d_not_final, DNotFinal) d_final: DFinal if 'spam' in d_final: spam = 'ham' # E: Statement is unreachable else: assert_type(d_final, DFinal) d_union: DFinal | DNotFinal if 'foo' in d_union: assert_type(d_union, Union[DFinal, DNotFinal]) else: assert_type(d_union, DNotFinal) [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testOperatorContainsNarrowsTypedDicts_partialThroughTotalFalse] from __future__ import annotations from typing import assert_type, final, Literal, TypedDict, Union @final class DTotal(TypedDict): required_key: int @final class DNotTotal(TypedDict, total=False): optional_key: int d: DTotal | DNotTotal if 'required_key' in d: assert_type(d, DTotal) else: assert_type(d, DNotTotal) if 'optional_key' in d: assert_type(d, DNotTotal) else: assert_type(d, Union[DTotal, DNotTotal]) key: Literal['optional_key', 'required_key'] if key in d: assert_type(d, Union[DTotal, DNotTotal]) else: assert_type(d, Union[DTotal, DNotTotal]) [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testOperatorContainsNarrowsTypedDicts_partialThroughNotRequired] from __future__ import annotations from typing import assert_type, final, TypedDict, Union from typing_extensions import Required, NotRequired @final class D1(TypedDict): required_key: Required[int] optional_key: NotRequired[int] @final class D2(TypedDict): abc: int xyz: int d: D1 | D2 if 'required_key' in d: assert_type(d, D1) else: assert_type(d, D2) if 'optional_key' in d: assert_type(d, D1) else: assert_type(d, Union[D1, D2]) [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testCannotSubclassFinalTypedDict] from typing import TypedDict, final @final class DummyTypedDict(TypedDict): int_val: int float_val: float str_val: str class SubType(DummyTypedDict): # E: Cannot inherit from final class "DummyTypedDict" pass [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testCannotSubclassFinalTypedDictWithForwardDeclarations] from typing import TypedDict, final @final class DummyTypedDict(TypedDict): forward_declared: "ForwardDeclared" class SubType(DummyTypedDict): # E: Cannot inherit from final class "DummyTypedDict" pass class ForwardDeclared: pass [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testTypedDictTypeNarrowingWithFinalKey] from typing import Final, Optional, TypedDict KEY_NAME: Final = "bar" class Foo(TypedDict): bar: Optional[str] foo = Foo(bar="hello") if foo["bar"] is not None: reveal_type(foo["bar"]) # N: Revealed type is "builtins.str" reveal_type(foo[KEY_NAME]) # N: Revealed type is "builtins.str" if foo[KEY_NAME] is not None: reveal_type(foo["bar"]) # N: Revealed type is "builtins.str" reveal_type(foo[KEY_NAME]) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictDoubleForwardClass] from typing import Any, List, TypedDict class Foo(TypedDict): bar: Bar baz: Bar Bar = List[Any] foo: Foo reveal_type(foo['bar']) # N: Revealed type is "builtins.list[Any]" reveal_type(foo['baz']) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictDoubleForwardFunc] from typing import Any, List, TypedDict Foo = TypedDict('Foo', {'bar': 'Bar', 'baz': 'Bar'}) Bar = List[Any] foo: Foo reveal_type(foo['bar']) # N: Revealed type is "builtins.list[Any]" reveal_type(foo['baz']) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictDoubleForwardMixed] from typing import Any, List, TypedDict Bar = List[Any] class Foo(TypedDict): foo: Toto bar: Bar baz: Bar Toto = int foo: Foo reveal_type(foo['foo']) # N: Revealed type is "builtins.int" reveal_type(foo['bar']) # N: Revealed type is "builtins.list[Any]" reveal_type(foo['baz']) # N: Revealed type is "builtins.list[Any]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testAssignTypedDictAsAttribute] from typing import TypedDict class A: def __init__(self) -> None: self.b = TypedDict('b', {'x': int, 'y': str}) # E: TypedDict type as attribute is not supported reveal_type(A().b) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAsUpperBoundAndIndexedAssign] from typing import TypeVar, Generic, TypedDict class BaseDict(TypedDict, total=False): foo: int _DICT_T = TypeVar('_DICT_T', bound=BaseDict) class SomeGeneric(Generic[_DICT_T]): def __init__(self, data: _DICT_T) -> None: self._data: _DICT_T = data def set_state(self) -> None: self._data['foo'] = 1 [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictCreatedWithEmptyDict] from typing import TypedDict class TD(TypedDict, total=False): foo: int bar: int d: TD = dict() d2: TD = dict(foo=1) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictBytesKey] from typing import TypedDict class TD(TypedDict): foo: int d: TD = {b'foo': 2} # E: Expected TypedDict key to be string literal d[b'foo'] = 3 # E: TypedDict key must be a string literal; expected one of ("foo") \ # E: Argument 1 to "__setitem__" has incompatible type "bytes"; expected "str" d[b'foo'] # E: TypedDict key must be a string literal; expected one of ("foo") d[3] # E: TypedDict key must be a string literal; expected one of ("foo") d[True] # E: TypedDict key must be a string literal; expected one of ("foo") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUppercaseKey] from typing import TypedDict Foo = TypedDict('Foo', {'camelCaseKey': str}) value: Foo = {} # E: Missing key "camelCaseKey" for TypedDict "Foo" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictWithDeferredFieldTypeEval] from typing import Generic, TypeVar, TypedDict, NotRequired class Foo(TypedDict): y: NotRequired[int] x: Outer[Inner[ForceDeferredEval]] var: Foo reveal_type(var) # N: Revealed type is "TypedDict('__main__.Foo', {'y'?: builtins.int, 'x': __main__.Outer[__main__.Inner[__main__.ForceDeferredEval]]})" T1 = TypeVar("T1") class Outer(Generic[T1]): pass T2 = TypeVar("T2", bound="ForceDeferredEval") class Inner(Generic[T2]): pass class ForceDeferredEval: pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictRequiredUnimportedAny] # flags: --disallow-any-unimported from typing import NotRequired, TypedDict, ReadOnly from nonexistent import Foo # type: ignore[import-not-found] class Bar(TypedDict): foo: NotRequired[Foo] # E: Type of variable becomes "Any" due to an unfollowed import bar: ReadOnly[Foo] # E: Type of variable becomes "Any" due to an unfollowed import baz: NotRequired[ReadOnly[Foo]] # E: Type of variable becomes "Any" due to an unfollowed import [typing fixtures/typing-typeddict.pyi] -- Required[] [case testDoesRecognizeRequiredInTypedDictWithClass] from typing import TypedDict from typing import Required class Movie(TypedDict, total=False): title: Required[str] year: int m = Movie(title='The Matrix') m = Movie() # E: Missing key "title" for TypedDict "Movie" [typing fixtures/typing-typeddict.pyi] [case testDoesRecognizeRequiredInTypedDictWithAssignment] from typing import TypedDict from typing import Required Movie = TypedDict('Movie', { 'title': Required[str], 'year': int, }, total=False) m = Movie(title='The Matrix') m = Movie() # E: Missing key "title" for TypedDict "Movie" [typing fixtures/typing-typeddict.pyi] [case testDoesDisallowRequiredOutsideOfTypedDict] from typing import Required x: Required[int] = 42 # E: Required[] can be only used in a TypedDict definition [typing fixtures/typing-typeddict.pyi] [case testDoesOnlyAllowRequiredInsideTypedDictAtTopLevel] from typing import TypedDict from typing import Union from typing import Required Movie = TypedDict('Movie', { 'title': Union[ Required[str], # E: Required[] can be only used in a TypedDict definition bytes ], 'year': int, }, total=False) [typing fixtures/typing-typeddict.pyi] [case testDoesDisallowRequiredInsideRequired] from typing import TypedDict from typing import Union from typing import Required Movie = TypedDict('Movie', { 'title': Required[Union[ Required[str], # E: Required[] can be only used in a TypedDict definition bytes ]], 'year': int, }, total=False) [typing fixtures/typing-typeddict.pyi] [case testRequiredOnlyAllowsOneItem] from typing import TypedDict from typing import Required class Movie(TypedDict, total=False): title: Required[str, bytes] # E: Required[] must have exactly one type argument year: int [typing fixtures/typing-typeddict.pyi] [case testRequiredExplicitAny] # flags: --disallow-any-explicit from typing import TypedDict from typing import Required Foo = TypedDict("Foo", {"a.x": Required[int]}) [typing fixtures/typing-typeddict.pyi] -- NotRequired[] [case testDoesRecognizeNotRequiredInTypedDictWithClass] from typing import TypedDict from typing import NotRequired class Movie(TypedDict): title: str year: NotRequired[int] m = Movie(title='The Matrix') m = Movie() # E: Missing key "title" for TypedDict "Movie" [typing fixtures/typing-typeddict.pyi] [case testDoesRecognizeNotRequiredInTypedDictWithAssignment] from typing import TypedDict from typing import NotRequired Movie = TypedDict('Movie', { 'title': str, 'year': NotRequired[int], }) m = Movie(title='The Matrix') m = Movie() # E: Missing key "title" for TypedDict "Movie" [typing fixtures/typing-typeddict.pyi] [case testDoesDisallowNotRequiredOutsideOfTypedDict] from typing import NotRequired x: NotRequired[int] = 42 # E: NotRequired[] can be only used in a TypedDict definition [typing fixtures/typing-typeddict.pyi] [case testDoesOnlyAllowNotRequiredInsideTypedDictAtTopLevel] from typing import TypedDict from typing import Union from typing import NotRequired Movie = TypedDict('Movie', { 'title': Union[ NotRequired[str], # E: NotRequired[] can be only used in a TypedDict definition bytes ], 'year': int, }) [typing fixtures/typing-typeddict.pyi] [case testDoesDisallowNotRequiredInsideNotRequired] from typing import TypedDict from typing import Union from typing import NotRequired Movie = TypedDict('Movie', { 'title': NotRequired[Union[ NotRequired[str], # E: NotRequired[] can be only used in a TypedDict definition bytes ]], 'year': int, }) [typing fixtures/typing-typeddict.pyi] [case testNotRequiredOnlyAllowsOneItem] from typing import TypedDict from typing import NotRequired class Movie(TypedDict): title: NotRequired[str, bytes] # E: NotRequired[] must have exactly one type argument year: int [typing fixtures/typing-typeddict.pyi] [case testNotRequiredExplicitAny] # flags: --disallow-any-explicit from typing import TypedDict from typing import NotRequired Foo = TypedDict("Foo", {"a.x": NotRequired[int]}) [typing fixtures/typing-typeddict.pyi] -- Union dunders [case testTypedDictUnionGetItem] from typing import TypedDict, Union class Foo1(TypedDict): z: str a: int class Foo2(TypedDict): z: str b: int def func(foo: Union[Foo1, Foo2]) -> str: reveal_type(foo["z"]) # N: Revealed type is "builtins.str" # ok, but type is incorrect: reveal_type(foo.__getitem__("z")) # N: Revealed type is "builtins.object" reveal_type(foo["a"]) # N: Revealed type is "Union[builtins.int, Any]" \ # E: TypedDict "Foo2" has no key "a" reveal_type(foo["b"]) # N: Revealed type is "Union[Any, builtins.int]" \ # E: TypedDict "Foo1" has no key "b" reveal_type(foo["missing"]) # N: Revealed type is "Any" \ # E: TypedDict "Foo1" has no key "missing" \ # E: TypedDict "Foo2" has no key "missing" reveal_type(foo[1]) # N: Revealed type is "Any" \ # E: TypedDict key must be a string literal; expected one of ("z", "a") \ # E: TypedDict key must be a string literal; expected one of ("z", "b") return foo["z"] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnionSetItem] from typing import TypedDict, Union class Foo1(TypedDict): z: str a: int class Foo2(TypedDict): z: str b: int def func(foo: Union[Foo1, Foo2]): foo["z"] = "a" # ok foo.__setitem__("z", "a") # ok foo["z"] = 1 # E: Value of "z" has incompatible type "int"; expected "str" foo["a"] = 1 # E: TypedDict "Foo2" has no key "a" foo["b"] = 2 # E: TypedDict "Foo1" has no key "b" foo["missing"] = 1 # E: TypedDict "Foo1" has no key "missing" \ # E: TypedDict "Foo2" has no key "missing" foo[1] = "m" # E: TypedDict key must be a string literal; expected one of ("z", "a") \ # E: TypedDict key must be a string literal; expected one of ("z", "b") \ # E: Argument 1 to "__setitem__" has incompatible type "int"; expected "str" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnionDelItem] from typing import TypedDict, Union class Foo1(TypedDict): z: str a: int class Foo2(TypedDict): z: str b: int def func(foo: Union[Foo1, Foo2]): del foo["z"] # E: Key "z" of TypedDict "Foo1" cannot be deleted \ # E: Key "z" of TypedDict "Foo2" cannot be deleted foo.__delitem__("z") # E: Key "z" of TypedDict "Foo1" cannot be deleted \ # E: Key "z" of TypedDict "Foo2" cannot be deleted del foo["a"] # E: Key "a" of TypedDict "Foo1" cannot be deleted \ # E: TypedDict "Foo2" has no key "a" del foo["b"] # E: TypedDict "Foo1" has no key "b" \ # E: Key "b" of TypedDict "Foo2" cannot be deleted del foo["missing"] # E: TypedDict "Foo1" has no key "missing" \ # E: TypedDict "Foo2" has no key "missing" del foo[1] # E: Argument 1 to "__delitem__" has incompatible type "int"; expected "str" \ # E: Expected TypedDict key to be string literal [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictTypeVarUnionSetItem] from typing import TypedDict, Union, TypeVar F1 = TypeVar('F1', bound='Foo1') F2 = TypeVar('F2', bound='Foo2') class Foo1(TypedDict): z: str a: int class Foo2(TypedDict): z: str b: int def func(foo: Union[F1, F2]): foo["z"] = "a" # ok foo["z"] = 1 # E: Value of "z" has incompatible type "int"; expected "str" foo["a"] = 1 # E: TypedDict "Foo2" has no key "a" foo["b"] = 2 # E: TypedDict "Foo1" has no key "b" foo["missing"] = 1 # E: TypedDict "Foo1" has no key "missing" \ # E: TypedDict "Foo2" has no key "missing" foo[1] = "m" # E: TypedDict key must be a string literal; expected one of ("z", "a") \ # E: TypedDict key must be a string literal; expected one of ("z", "b") \ # E: Argument 1 to "__setitem__" has incompatible type "int"; expected "str" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testGenericTypedDictCreation] from typing import TypedDict, Generic, TypeVar T = TypeVar("T") class TD(TypedDict, Generic[T]): key: int value: T tds: TD[str] reveal_type(tds) # N: Revealed type is "TypedDict('__main__.TD', {'key': builtins.int, 'value': builtins.str})" tdi = TD(key=0, value=0) reveal_type(tdi) # N: Revealed type is "TypedDict('__main__.TD', {'key': builtins.int, 'value': builtins.int})" TD[str](key=0, value=0) # E: Incompatible types (expression has type "int", TypedDict item "value" has type "str") TD[str]({"key": 0, "value": 0}) # E: Incompatible types (expression has type "int", TypedDict item "value" has type "str") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testGenericTypedDictInference] from typing import TypedDict, Generic, TypeVar, List T = TypeVar("T") class TD(TypedDict, Generic[T]): key: int value: T def foo(x: TD[T]) -> List[T]: ... reveal_type(foo(TD(key=1, value=2))) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(foo({"key": 1, "value": 2})) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(foo(dict(key=1, value=2))) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testGenericTypedDictExtending] from typing import TypedDict, Generic, TypeVar, List T = TypeVar("T") class TD(TypedDict, Generic[T]): key: int value: T S = TypeVar("S") class STD(TD[List[S]]): other: S std: STD[str] reveal_type(std) # N: Revealed type is "TypedDict('__main__.STD', {'key': builtins.int, 'value': builtins.list[builtins.str], 'other': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testGenericTypedDictExtendingErrors] from typing import TypedDict, Generic, TypeVar T = TypeVar("T") class Base(TypedDict, Generic[T]): x: T class Sub(Base[{}]): # E: Invalid TypedDict type argument \ # E: Type expected within [...] \ # E: Invalid base class "Base" y: int s: Sub reveal_type(s) # N: Revealed type is "TypedDict('__main__.Sub', {'y': builtins.int})" class Sub2(Base[int, str]): # E: Invalid number of type arguments for "Base" \ # E: "Base" expects 1 type argument, but 2 given y: int s2: Sub2 reveal_type(s2) # N: Revealed type is "TypedDict('__main__.Sub2', {'x': Any, 'y': builtins.int})" class Sub3(Base): # OK y: int s3: Sub3 reveal_type(s3) # N: Revealed type is "TypedDict('__main__.Sub3', {'x': Any, 'y': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAttributeOnClassObject] from typing import TypedDict class TD(TypedDict): x: str y: str reveal_type(TD.__iter__) # N: Revealed type is "def (typing._TypedDict) -> typing.Iterator[builtins.str]" reveal_type(TD.__annotations__) # N: Revealed type is "typing.Mapping[builtins.str, builtins.object]" reveal_type(TD.values) # N: Revealed type is "def (self: typing.Mapping[builtins.str, builtins.object]) -> typing.Iterable[builtins.object]" [builtins fixtures/dict-full.pyi] [typing fixtures/typing-typeddict.pyi] [case testGenericTypedDictAlias] # flags: --disallow-any-generics from typing import TypedDict, Generic, TypeVar, List T = TypeVar("T") class TD(TypedDict, Generic[T]): key: int value: T Alias = TD[List[T]] ad: Alias[str] reveal_type(ad) # N: Revealed type is "TypedDict('__main__.TD', {'key': builtins.int, 'value': builtins.list[builtins.str]})" Alias[str](key=0, value=0) # E: Incompatible types (expression has type "int", TypedDict item "value" has type "list[str]") # Generic aliases are *always* filled with Any, so this is different from TD(...) call. Alias(key=0, value=0) # E: Missing type parameters for generic type "Alias" \ # E: Incompatible types (expression has type "int", TypedDict item "value" has type "list[Any]") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testGenericTypedDictMultipleGenerics] # See https://github.com/python/mypy/issues/13755 from typing import Generic, TypeVar, TypedDict T = TypeVar("T") Foo = TypedDict("Foo", {"bar": T}) class Stack(Generic[T]): pass a = Foo[str] b = Foo[int] reveal_type(a) # N: Revealed type is "def (*, bar: builtins.str) -> TypedDict('__main__.Foo', {'bar': builtins.str})" reveal_type(b) # N: Revealed type is "def (*, bar: builtins.int) -> TypedDict('__main__.Foo', {'bar': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testGenericTypedDictCallSyntax] from typing import TypedDict, TypeVar T = TypeVar("T") TD = TypedDict("TD", {"key": int, "value": T}) reveal_type(TD) # N: Revealed type is "def [T] (*, key: builtins.int, value: T`1) -> TypedDict('__main__.TD', {'key': builtins.int, 'value': T`1})" tds: TD[str] reveal_type(tds) # N: Revealed type is "TypedDict('__main__.TD', {'key': builtins.int, 'value': builtins.str})" tdi = TD(key=0, value=0) reveal_type(tdi) # N: Revealed type is "TypedDict('__main__.TD', {'key': builtins.int, 'value': builtins.int})" TD[str](key=0, value=0) # E: Incompatible types (expression has type "int", TypedDict item "value" has type "str") TD[str]({"key": 0, "value": 0}) # E: Incompatible types (expression has type "int", TypedDict item "value" has type "str") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictSelfItemNotAllowed] from typing import Self, TypedDict, Optional class TD(TypedDict): val: int next: Optional[Self] # E: Self type cannot be used in TypedDict item type TDC = TypedDict("TDC", {"val": int, "next": Optional[Self]}) # E: Self type cannot be used in TypedDict item type [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnionOfEquivalentTypedDictsInferred] from typing import TypedDict, Dict D = TypedDict("D", {"foo": int}, total=False) def f(d: Dict[str, D]) -> None: args = d["a"] args.update(d.get("b", {})) # OK [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnionOfEquivalentTypedDictsDeclared] from typing import TypedDict, Union class A(TypedDict, total=False): name: str class B(TypedDict, total=False): name: str def foo(data: Union[A, B]) -> None: ... foo({"name": "Robert"}) # OK [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnionOfEquivalentTypedDictsEmpty] from typing import TypedDict, Union class Foo(TypedDict, total=False): foo: str class Bar(TypedDict, total=False): bar: str def foo(body: Union[Foo, Bar] = {}) -> None: # OK ... [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnionOfEquivalentTypedDictsDistinct] from typing import TypedDict, Union, Literal class A(TypedDict): type: Literal['a'] value: bool class B(TypedDict): type: Literal['b'] value: str Response = Union[A, B] def method(message: Response) -> None: ... method({'type': 'a', 'value': True}) # OK method({'type': 'b', 'value': 'abc'}) # OK method({'type': 'a', 'value': 'abc'}) # E: Type of TypedDict is ambiguous, none of ("A", "B") matches cleanly \ # E: Argument 1 to "method" has incompatible type "dict[str, str]"; expected "Union[A, B]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnionOfEquivalentTypedDictsNested] from typing import TypedDict, Union class A(TypedDict, total=False): foo: C class B(TypedDict, total=False): foo: D class C(TypedDict, total=False): c: str class D(TypedDict, total=False): d: str def foo(data: Union[A, B]) -> None: ... foo({"foo": {"c": "foo"}}) # OK foo({"foo": {"e": "foo"}}) # E: Type of TypedDict is ambiguous, none of ("A", "B") matches cleanly \ # E: Argument 1 to "foo" has incompatible type "dict[str, dict[str, str]]"; expected "Union[A, B]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictMissingEmptyKey] from typing import TypedDict class A(TypedDict): my_attr_1: str my_attr_2: int d: A d[''] # E: TypedDict "A" has no key "" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictFlexibleUpdate] from typing import TypedDict A = TypedDict("A", {"foo": int, "bar": int}) B = TypedDict("B", {"foo": int}) a = A({"foo": 1, "bar": 2}) b = B({"foo": 2}) a.update({"foo": 2}) a.update(b) a.update(a) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictStrictUpdate] # flags: --extra-checks from typing import TypedDict A = TypedDict("A", {"foo": int, "bar": int}) B = TypedDict("B", {"foo": int}) a = A({"foo": 1, "bar": 2}) b = B({"foo": 2}) a.update({"foo": 2}) # OK a.update(b) # E: Argument 1 to "update" of "TypedDict" has incompatible type "B"; expected "TypedDict({'foo': int, 'bar'?: int})" a.update(a) # OK [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictFlexibleUpdateUnion] from typing import TypedDict, Union A = TypedDict("A", {"foo": int, "bar": int}) B = TypedDict("B", {"foo": int}) C = TypedDict("C", {"bar": int}) a = A({"foo": 1, "bar": 2}) u: Union[B, C] a.update(u) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictFlexibleUpdateUnionExtra] from typing import TypedDict, Union A = TypedDict("A", {"foo": int, "bar": int}) B = TypedDict("B", {"foo": int, "extra": int}) C = TypedDict("C", {"bar": int, "extra": int}) a = A({"foo": 1, "bar": 2}) u: Union[B, C] a.update(u) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictFlexibleUpdateUnionStrict] # flags: --extra-checks from typing import TypedDict, Union, NotRequired A = TypedDict("A", {"foo": int, "bar": int}) A1 = TypedDict("A1", {"foo": int, "bar": NotRequired[int]}) A2 = TypedDict("A2", {"foo": NotRequired[int], "bar": int}) B = TypedDict("B", {"foo": int}) C = TypedDict("C", {"bar": int}) a = A({"foo": 1, "bar": 2}) u: Union[B, C] a.update(u) # E: Argument 1 to "update" of "TypedDict" has incompatible type "Union[B, C]"; expected "Union[TypedDict({'foo': int, 'bar'?: int}), TypedDict({'foo'?: int, 'bar': int})]" u2: Union[A1, A2] a.update(u2) # OK [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackSame] # flags: --extra-checks from typing import TypedDict class Foo(TypedDict): a: int b: int foo1: Foo = {"a": 1, "b": 1} foo2: Foo = {**foo1, "b": 2} foo3 = Foo(**foo1, b=2) foo4 = Foo({**foo1, "b": 2}) foo5 = Foo(dict(**foo1, b=2)) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackCompatible] # flags: --extra-checks from typing import TypedDict class Foo(TypedDict): a: int class Bar(TypedDict): a: int b: int foo: Foo = {"a": 1} bar: Bar = {**foo, "b": 2} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackIncompatible] from typing import TypedDict class Foo(TypedDict): a: int b: str class Bar(TypedDict): a: int b: int foo: Foo = {"a": 1, "b": "a"} bar1: Bar = {**foo, "b": 2} # Incompatible item is overridden bar2: Bar = {**foo, "a": 2} # E: Incompatible types (expression has type "str", TypedDict item "b" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackNotRequiredKeyIncompatible] from typing import TypedDict, NotRequired class Foo(TypedDict): a: NotRequired[str] class Bar(TypedDict): a: NotRequired[int] foo: Foo = {} bar: Bar = {**foo} # E: Incompatible types (expression has type "str", TypedDict item "a" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackMissingOrExtraKey] from typing import TypedDict class Foo(TypedDict): a: int class Bar(TypedDict): a: int b: int foo1: Foo = {"a": 1} bar1: Bar = {"a": 1, "b": 1} foo2: Foo = {**bar1} # E: Extra key "b" for TypedDict "Foo" bar2: Bar = {**foo1} # E: Missing key "b" for TypedDict "Bar" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackNotRequiredKeyExtra] from typing import TypedDict, NotRequired class Foo(TypedDict): a: int class Bar(TypedDict): a: int b: NotRequired[int] foo1: Foo = {"a": 1} bar1: Bar = {"a": 1} foo2: Foo = {**bar1} # E: Extra key "b" for TypedDict "Foo" bar2: Bar = {**foo1} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackRequiredKeyMissing] from typing import TypedDict, NotRequired class Foo(TypedDict): a: NotRequired[int] class Bar(TypedDict): a: int foo: Foo = {"a": 1} bar: Bar = {**foo} # E: Missing key "a" for TypedDict "Bar" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackMultiple] # flags: --extra-checks from typing import TypedDict class Foo(TypedDict): a: int class Bar(TypedDict): b: int class Baz(TypedDict): a: int b: int c: int foo: Foo = {"a": 1} bar: Bar = {"b": 1} baz: Baz = {**foo, **bar, "c": 1} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackNested] from typing import TypedDict class Foo(TypedDict): a: int b: int class Bar(TypedDict): c: Foo d: int foo: Foo = {"a": 1, "b": 1} bar: Bar = {"c": foo, "d": 1} bar2: Bar = {**bar, "c": {**bar["c"], "b": 2}, "d": 2} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackNestedError] from typing import TypedDict class Foo(TypedDict): a: int b: int class Bar(TypedDict): c: Foo d: int foo: Foo = {"a": 1, "b": 1} bar: Bar = {"c": foo, "d": 1} bar2: Bar = {**bar, "c": {**bar["c"], "b": "wrong"}, "d": 2} # E: Incompatible types (expression has type "str", TypedDict item "b" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackOverrideRequired] from typing import TypedDict Details = TypedDict('Details', {'first_name': str, 'last_name': str}) DetailsSubset = TypedDict('DetailsSubset', {'first_name': str, 'last_name': str}, total=False) defaults: Details = {'first_name': 'John', 'last_name': 'Luther'} def generate(data: DetailsSubset) -> Details: return {**defaults, **data} # OK [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackUntypedDict] from typing import Any, Dict, TypedDict class Bar(TypedDict): pass foo: Dict[str, Any] = {} bar: Bar = {**foo} # E: Unsupported type "dict[str, Any]" for ** expansion in TypedDict [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackIntoUnion] from typing import TypedDict, Union class Foo(TypedDict): a: int class Bar(TypedDict): b: int foo: Foo = {'a': 1} foo_or_bar: Union[Foo, Bar] = {**foo} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackFromUnion] from typing import TypedDict, Union class Foo(TypedDict): a: int b: int class Bar(TypedDict): b: int foo_or_bar: Union[Foo, Bar] = {'b': 1} foo: Bar = {**foo_or_bar} # E: Extra key "a" for TypedDict "Bar" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackUnionRequiredMissing] from typing import TypedDict, NotRequired, Union class Foo(TypedDict): a: int b: int class Bar(TypedDict): a: int b: NotRequired[int] foo_or_bar: Union[Foo, Bar] = {"a": 1} foo: Foo = {**foo_or_bar} # E: Missing key "b" for TypedDict "Foo" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackInference] from typing import TypedDict, Generic, TypeVar class Foo(TypedDict): a: int b: str T = TypeVar("T") class TD(TypedDict, Generic[T]): a: T b: str foo: Foo bar = TD(**foo) reveal_type(bar) # N: Revealed type is "TypedDict('__main__.TD', {'a': builtins.int, 'b': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackStrictMode] # flags: --extra-checks from typing import TypedDict, NotRequired class Foo(TypedDict): a: int class Bar(TypedDict): a: int b: NotRequired[int] foo: Foo bar: Bar = {**foo} # E: Non-required key "b" not explicitly found in any ** item [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackAny] from typing import Any, TypedDict, NotRequired, Dict, Union class Foo(TypedDict): a: int b: NotRequired[int] x: Any y: Dict[Any, Any] z: Union[Any, Dict[Any, Any]] t1: Foo = {**x} # E: Missing key "a" for TypedDict "Foo" t2: Foo = {**y} # E: Missing key "a" for TypedDict "Foo" t3: Foo = {**z} # E: Missing key "a" for TypedDict "Foo" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackError] from typing import TypedDict class Foo(TypedDict): a: int def foo(x: int) -> Foo: ... f: Foo = {**foo("no")} # E: Argument 1 to "foo" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictWith__or__method] from typing import Dict, TypedDict class Foo(TypedDict): key: int foo1: Foo = {'key': 1} foo2: Foo = {'key': 2} reveal_type(foo1 | foo2) # N: Revealed type is "TypedDict('__main__.Foo', {'key': builtins.int})" reveal_type(foo1 | {'key': 1}) # N: Revealed type is "TypedDict('__main__.Foo', {'key': builtins.int})" reveal_type(foo1 | {'key': 'a'}) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" reveal_type(foo1 | {}) # N: Revealed type is "TypedDict('__main__.Foo', {'key': builtins.int})" d1: Dict[str, int] d2: Dict[int, str] reveal_type(foo1 | d1) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" foo1 | d2 # E: Unsupported operand types for | ("Foo" and "dict[int, str]") class Bar(TypedDict): key: int value: str bar: Bar reveal_type(bar | {}) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type(bar | {'key': 1, 'value': 'v'}) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type(bar | {'key': 1}) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type(bar | {'value': 'v'}) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type(bar | {'key': 'a'}) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" reveal_type(bar | {'value': 1}) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" reveal_type(bar | {'key': 'a', 'value': 1}) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" reveal_type(bar | foo1) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type(bar | d1) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" bar | d2 # E: Unsupported operand types for | ("Bar" and "dict[int, str]") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict-iror.pyi] [case testTypedDictWith__or__method_error] from typing import TypedDict class Foo(TypedDict): key: int foo: Foo = {'key': 1} foo | 1 class SubDict(dict): ... reveal_type(foo | SubDict()) [out] main:7: error: No overload variant of "__or__" of "TypedDict" matches argument type "int" main:7: note: Possible overload variants: main:7: note: def __or__(self, TypedDict({'key'?: int}), /) -> Foo main:7: note: def __or__(self, dict[str, Any], /) -> dict[str, object] main:10: note: Revealed type is "builtins.dict[builtins.str, builtins.object]" [builtins fixtures/dict-full.pyi] [typing fixtures/typing-typeddict-iror.pyi] [case testTypedDictWith__ror__method] from typing import Dict, TypedDict class Foo(TypedDict): key: int foo: Foo = {'key': 1} reveal_type({'key': 1} | foo) # N: Revealed type is "TypedDict('__main__.Foo', {'key': builtins.int})" reveal_type({'key': 'a'} | foo) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" reveal_type({} | foo) # N: Revealed type is "TypedDict('__main__.Foo', {'key': builtins.int})" {1: 'a'} | foo # E: Dict entry 0 has incompatible type "int": "str"; expected "str": "Any" d1: Dict[str, int] d2: Dict[int, str] reveal_type(d1 | foo) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" d2 | foo # E: Unsupported operand types for | ("dict[int, str]" and "Foo") 1 | foo # E: No overload variant of "__ror__" of "TypedDict" matches argument type "int" \ # N: Possible overload variants: \ # N: def __ror__(self, TypedDict({'key'?: int}), /) -> Foo \ # N: def __ror__(self, dict[str, Any], /) -> dict[str, object] class Bar(TypedDict): key: int value: str bar: Bar reveal_type({} | bar) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type({'key': 1, 'value': 'v'} | bar) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type({'key': 1} | bar) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type({'value': 'v'} | bar) # N: Revealed type is "TypedDict('__main__.Bar', {'key': builtins.int, 'value': builtins.str})" reveal_type({'key': 'a'} | bar) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" reveal_type({'value': 1} | bar) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" reveal_type({'key': 'a', 'value': 1} | bar) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" reveal_type(d1 | bar) # N: Revealed type is "builtins.dict[builtins.str, builtins.object]" d2 | bar # E: Unsupported operand types for | ("dict[int, str]" and "Bar") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict-iror.pyi] [case testTypedDictWith__ior__method] from typing import Dict, TypedDict class Foo(TypedDict): key: int foo: Foo = {'key': 1} foo |= {'key': 2} foo |= {} foo |= {'key': 'a', 'b': 'a'} # E: Expected TypedDict key "key" but found keys ("key", "b") \ # E: Incompatible types (expression has type "str", TypedDict item "key" has type "int") foo |= {'b': 2} # E: Unexpected TypedDict key "b" d1: Dict[str, int] d2: Dict[int, str] foo |= d1 # E: Argument 1 to "__ior__" of "TypedDict" has incompatible type "dict[str, int]"; expected "TypedDict({'key'?: int})" foo |= d2 # E: Argument 1 to "__ior__" of "TypedDict" has incompatible type "dict[int, str]"; expected "TypedDict({'key'?: int})" class Bar(TypedDict): key: int value: str bar: Bar bar |= {} bar |= {'key': 1, 'value': 'a'} bar |= {'key': 'a', 'value': 'a', 'b': 'a'} # E: Expected TypedDict keys ("key", "value") but found keys ("key", "value", "b") \ # E: Incompatible types (expression has type "str", TypedDict item "key" has type "int") bar |= foo bar |= d1 # E: Argument 1 to "__ior__" of "TypedDict" has incompatible type "dict[str, int]"; expected "TypedDict({'key'?: int, 'value'?: str})" bar |= d2 # E: Argument 1 to "__ior__" of "TypedDict" has incompatible type "dict[int, str]"; expected "TypedDict({'key'?: int, 'value'?: str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict-iror.pyi] [case testGenericTypedDictStrictOptionalExtending] from typing import Generic, TypeVar, TypedDict, Optional T = TypeVar("T") class Foo(TypedDict, Generic[T], total=False): a: Optional[str] g: Optional[T] class Bar(Foo[T], total=False): other: str b: Bar[int] reveal_type(b["a"]) # N: Revealed type is "Union[builtins.str, None]" reveal_type(b["g"]) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testNoCrashOnUnImportedAnyNotRequired] # flags: --disallow-any-unimported from typing import NotRequired, Required, TypedDict from thismoduledoesntexist import T # type: ignore[import] B = TypedDict("B", { # E: Type of a TypedDict key becomes "Any" due to an unfollowed import "T1": NotRequired[T], "T2": Required[T], }) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictWithClassLevelKeywords] from typing import TypedDict, Generic, TypeVar T = TypeVar('T') class Meta(type): ... class WithMetaKeyword(TypedDict, metaclass=Meta): # E: Unexpected keyword argument "metaclass" for "__init_subclass__" of "TypedDict" ... class GenericWithMetaKeyword(TypedDict, Generic[T], metaclass=Meta): # E: Unexpected keyword argument "metaclass" for "__init_subclass__" of "TypedDict" ... # We still don't allow this, because the implementation is much easier # and it does not make any practical sense to do it: class WithTypeMeta(TypedDict, metaclass=type): # E: Unexpected keyword argument "metaclass" for "__init_subclass__" of "TypedDict" ... class OtherKeywords(TypedDict, a=1, b=2, c=3, total=True): # E: Unexpected keyword argument "a" for "__init_subclass__" of "TypedDict" \ # E: Unexpected keyword argument "b" for "__init_subclass__" of "TypedDict" \ # E: Unexpected keyword argument "c" for "__init_subclass__" of "TypedDict" ... class TotalInTheMiddle(TypedDict, a=1, total=True, b=2, c=3): # E: Unexpected keyword argument "a" for "__init_subclass__" of "TypedDict" \ # E: Unexpected keyword argument "b" for "__init_subclass__" of "TypedDict" \ # E: Unexpected keyword argument "c" for "__init_subclass__" of "TypedDict" ... [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testCanCreateClassWithFunctionBasedTypedDictBase] from typing import TypedDict class Params(TypedDict("Params", {'x': int})): pass p: Params = {'x': 2} reveal_type(p) # N: Revealed type is "TypedDict('__main__.Params', {'x': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testInitTypedDictFromType] from typing import TypedDict, Type from typing_extensions import Required class Point(TypedDict, total=False): x: Required[int] y: int def func(cls: Type[Point]) -> None: reveal_type(cls) # N: Revealed type is "type[TypedDict('__main__.Point', {'x': builtins.int, 'y'?: builtins.int})]" cls(x=1, y=2) cls(1, 2) # E: Too many positional arguments cls(x=1) cls(y=2) # E: Missing named argument "x" cls(x=1, y=2, error="") # E: Unexpected keyword argument "error" [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [case testInitTypedDictFromTypeGeneric] from typing import Generic, TypedDict, Type, TypeVar from typing_extensions import Required class Point(TypedDict, total=False): x: Required[int] y: int T = TypeVar("T", bound=Point) class A(Generic[T]): def __init__(self, a: Type[T]) -> None: self.a = a def func(self) -> T: reveal_type(self.a) # N: Revealed type is "type[T`1]" self.a(x=1, y=2) self.a(y=2) # E: Missing named argument "x" return self.a(x=1) [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [case testNameUndefinedErrorDoesNotLoseUnpackedKWArgsInformation] from typing import TypedDict, overload from typing_extensions import Unpack class TD(TypedDict, total=False): x: int y: str @overload def f(self, *, x: int) -> None: ... @overload def f(self, *, y: str) -> None: ... def f(self, **kwargs: Unpack[TD]) -> None: z # E: Name "z" is not defined @overload def g(self, *, x: float) -> None: ... @overload def g(self, *, y: str) -> None: ... def g(self, **kwargs: Unpack[TD]) -> None: # E: Overloaded function implementation does not accept all possible arguments of signature 1 z # E: Name "z" is not defined class A: def f(self, *, x: int) -> None: ... def g(self, *, x: float) -> None: ... class B(A): def f(self, **kwargs: Unpack[TD]) -> None: z # E: Name "z" is not defined def g(self, **kwargs: Unpack[TD]) -> None: # E: Signature of "g" incompatible with supertype "A" \ # N: Superclass: \ # N: def g(self, *, x: float) -> None \ # N: Subclass: \ # N: def g(*, x: int = ..., y: str = ...) -> None z # E: Name "z" is not defined reveal_type(B.f) # N: Revealed type is "def (self: __main__.B, **kwargs: Unpack[TypedDict('__main__.TD', {'x'?: builtins.int, 'y'?: builtins.str})])" B().f(x=1.0) # E: Argument "x" to "f" of "B" has incompatible type "float"; expected "int" [builtins fixtures/primitives.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictUnpackWithParamSpecInference] from typing import TypedDict, TypeVar, ParamSpec, Callable from typing_extensions import Unpack P = ParamSpec("P") R = TypeVar("R") def run(func: Callable[P, R], *args: P.args, **kwargs: P.kwargs) -> R: ... class Params(TypedDict): temperature: float def test(temperature: int) -> None: ... def test2(temperature: float, other: str) -> None: ... class Test: def f(self, c: Callable[..., None], **params: Unpack[Params]) -> None: run(c, **params) def g(self, **params: Unpack[Params]) -> None: run(test, **params) # E: Argument "temperature" to "run" has incompatible type "float"; expected "int" def h(self, **params: Unpack[Params]) -> None: run(test2, other="yes", **params) run(test2, other=0, **params) # E: Argument "other" to "run" has incompatible type "int"; expected "str" [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testTypedDictUnpackSingleWithSubtypingNoCrash] from typing import Callable, TypedDict from typing_extensions import Unpack class Kwargs(TypedDict): name: str def f(**kwargs: Unpack[Kwargs]) -> None: pass class C: d: Callable[[Unpack[Kwargs]], None] # TODO: it is an old question whether we should allow this, for now simply don't crash. class D(C): d = f [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictInlineNoOldStyleAlias] # flags: --enable-incomplete-feature=InlineTypedDict X = {"int": int, "str": str} reveal_type(X) # N: Revealed type is "builtins.dict[builtins.str, def () -> builtins.object]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictInlineYesMidStyleAlias] # flags: --enable-incomplete-feature=InlineTypedDict from typing_extensions import TypeAlias X: TypeAlias = {"int": int, "str": str} x: X reveal_type(x) # N: # N: Revealed type is "TypedDict({'int': builtins.int, 'str': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictInlineNoEmpty] # flags: --enable-incomplete-feature=InlineTypedDict x: {} # E: Invalid type comment or annotation reveal_type(x) # N: Revealed type is "Any" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictInlineNotRequired] # flags: --enable-incomplete-feature=InlineTypedDict from typing import NotRequired x: {"one": int, "other": NotRequired[int]} x = {"one": 1} # OK y: {"one": int, "other": int} y = {"one": 1} # E: Expected TypedDict keys ("one", "other") but found only key "one" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictInlineReadOnly] # flags: --enable-incomplete-feature=InlineTypedDict from typing import ReadOnly x: {"one": int, "other": ReadOnly[int]} x["one"] = 1 # ok x["other"] = 1 # E: ReadOnly TypedDict key "other" TypedDict is mutated [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictInlineNestedSchema] # flags: --enable-incomplete-feature=InlineTypedDict def nested() -> {"one": str, "other": {"a": int, "b": int}}: if bool(): return {"one": "yes", "other": {"a": 1, "b": 2}} # OK else: return {"one": "no", "other": {"a": 1, "b": "2"}} # E: Incompatible types (expression has type "str", TypedDict item "b" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictInlineMergeAnother] # flags: --enable-incomplete-feature=InlineTypedDict from typing import TypeVar from typing_extensions import TypeAlias T = TypeVar("T") X: TypeAlias = {"item": T} x: {"a": int, **X[str], "b": int} reveal_type(x) # N: Revealed type is "TypedDict({'a': builtins.int, 'b': builtins.int, 'item': builtins.str})" [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] # ReadOnly # See: https://peps.python.org/pep-0705 [case testTypedDictReadOnly] # flags: --show-error-codes from typing import ReadOnly, TypedDict class TP(TypedDict): one: int other: ReadOnly[str] x: TP reveal_type(x["one"]) # N: Revealed type is "builtins.int" reveal_type(x["other"]) # N: Revealed type is "builtins.str" x["one"] = 1 # ok x["other"] = "a" # E: ReadOnly TypedDict key "other" TypedDict is mutated [typeddict-readonly-mutated] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyCreation] from typing import ReadOnly, TypedDict class TD(TypedDict): x: ReadOnly[int] y: int # Ok: x = TD({"x": 1, "y": 2}) y = TD(x=1, y=2) z: TD = {"x": 1, "y": 2} # Error: x2 = TD({"x": "a", "y": 2}) # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") y2 = TD(x="a", y=2) # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") z2: TD = {"x": "a", "y": 2} # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyDel] from typing import ReadOnly, TypedDict, NotRequired class TP(TypedDict): required_key: ReadOnly[str] optional_key: ReadOnly[NotRequired[str]] x: TP del x["required_key"] # E: Key "required_key" of TypedDict "TP" cannot be deleted del x["optional_key"] # E: Key "optional_key" of TypedDict "TP" cannot be deleted [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyMutateMethods] from typing import ReadOnly, NotRequired, TypedDict class TP(TypedDict): key: ReadOnly[str] optional_key: ReadOnly[NotRequired[str]] other: ReadOnly[int] mutable: bool x: TP reveal_type(x.pop("key")) # N: Revealed type is "builtins.str" \ # E: Key "key" of TypedDict "TP" cannot be deleted reveal_type(x.pop("optional_key")) # N: Revealed type is "builtins.str" \ # E: Key "optional_key" of TypedDict "TP" cannot be deleted x.update({"key": "abc", "other": 1, "mutable": True}) # E: ReadOnly TypedDict keys ("key", "other") TypedDict are mutated x.setdefault("key", "abc") # E: ReadOnly TypedDict key "key" TypedDict is mutated x.setdefault("optional_key", "foo") # E: ReadOnly TypedDict key "optional_key" TypedDict is mutated x.setdefault("other", 1) # E: ReadOnly TypedDict key "other" TypedDict is mutated x.setdefault("mutable", False) # ok [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictFromTypingExtensionsReadOnlyMutateMethods] from typing_extensions import ReadOnly, TypedDict class TP(TypedDict): key: ReadOnly[str] x: TP x.update({"key": "abc"}) # E: ReadOnly TypedDict key "key" TypedDict is mutated [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictFromMypyExtensionsReadOnlyMutateMethods] from mypy_extensions import TypedDict from typing_extensions import ReadOnly class TP(TypedDict): key: ReadOnly[str] x: TP x.update({"key": "abc"}) # E: ReadOnly TypedDict key "key" TypedDict is mutated [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyMutate__ior__Statements] from typing import TypedDict from typing_extensions import ReadOnly class TP(TypedDict): key: ReadOnly[str] other: ReadOnly[int] mutable: bool x: TP x |= {"mutable": True} # ok x |= {"key": "a"} # E: ReadOnly TypedDict key "key" TypedDict is mutated x |= {"key": "a", "other": 1, "mutable": True} # E: ReadOnly TypedDict keys ("key", "other") TypedDict are mutated [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict-iror.pyi] [case testTypedDictReadOnlyMutate__or__Statements] from typing import TypedDict from typing_extensions import ReadOnly class TP(TypedDict): key: ReadOnly[str] other: ReadOnly[int] mutable: bool x: TP # These are new objects, not mutation: x = x | {"mutable": True} x = x | {"key": "a"} x = x | {"key": "a", "other": 1, "mutable": True} y1 = x | {"mutable": True} y2 = x | {"key": "a"} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict-iror.pyi] [case testTypedDictReadOnlyMutateWithOtherDicts] from typing import ReadOnly, TypedDict, Dict class TP(TypedDict): key: ReadOnly[str] mutable: bool class Mutable(TypedDict): mutable: bool class Regular(TypedDict): key: str m: Mutable r: Regular d: Dict[str, object] # Creating new objects is ok: tp: TP = {**r, **m} tp1: TP = {**tp, **m} tp2: TP = {**r, **m} tp3: TP = {**tp, **r} tp4: TP = {**tp, **d} # E: Unsupported type "dict[str, object]" for ** expansion in TypedDict [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictGenericReadOnly] from typing import ReadOnly, TypedDict, TypeVar, Generic T = TypeVar('T') class TP(TypedDict, Generic[T]): key: ReadOnly[T] x: TP[int] reveal_type(x["key"]) # N: Revealed type is "builtins.int" x["key"] = 1 # E: ReadOnly TypedDict key "key" TypedDict is mutated x["key"] = "a" # E: ReadOnly TypedDict key "key" TypedDict is mutated \ # E: Value of "key" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyOtherTypedDict] from typing import ReadOnly, TypedDict class First(TypedDict): field: int class TP(TypedDict): key: ReadOnly[First] x: TP reveal_type(x["key"]["field"]) # N: Revealed type is "builtins.int" x["key"]["field"] = 1 # ok x["key"] = {"field": 2} # E: ReadOnly TypedDict key "key" TypedDict is mutated [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyInheritance] from typing import ReadOnly, TypedDict class Base(TypedDict): a: ReadOnly[str] class Child(Base): b: ReadOnly[int] base: Base reveal_type(base["a"]) # N: Revealed type is "builtins.str" base["a"] = "x" # E: ReadOnly TypedDict key "a" TypedDict is mutated base["b"] # E: TypedDict "Base" has no key "b" child: Child reveal_type(child["a"]) # N: Revealed type is "builtins.str" reveal_type(child["b"]) # N: Revealed type is "builtins.int" child["a"] = "x" # E: ReadOnly TypedDict key "a" TypedDict is mutated child["b"] = 1 # E: ReadOnly TypedDict key "b" TypedDict is mutated [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlySubtyping] from typing import ReadOnly, TypedDict class A(TypedDict): key: ReadOnly[str] class B(TypedDict): key: str a: A b: B def accepts_A(d: A): ... def accepts_B(d: B): ... accepts_A(a) accepts_A(b) accepts_B(a) # E: Argument 1 to "accepts_B" has incompatible type "A"; expected "B" accepts_B(b) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictRequiredConsistentWithNotRequiredReadOnly] from typing import NotRequired, ReadOnly, Required, TypedDict class A(TypedDict): x: NotRequired[ReadOnly[str]] class B(TypedDict): x: Required[str] def f(b: B): a: A = b # ok [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyCall] from typing import ReadOnly, TypedDict TP = TypedDict("TP", {"one": int, "other": ReadOnly[str]}) x: TP reveal_type(x["one"]) # N: Revealed type is "builtins.int" reveal_type(x["other"]) # N: Revealed type is "builtins.str" x["one"] = 1 # ok x["other"] = "a" # E: ReadOnly TypedDict key "other" TypedDict is mutated [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyABCSubtypes] from typing import ReadOnly, TypedDict, Mapping, Dict, MutableMapping class TP(TypedDict): one: int other: ReadOnly[int] def accepts_mapping(m: Mapping[str, object]): ... def accepts_mutable_mapping(mm: MutableMapping[str, object]): ... def accepts_dict(d: Dict[str, object]): ... x: TP accepts_mapping(x) accepts_mutable_mapping(x) # E: Argument 1 to "accepts_mutable_mapping" has incompatible type "TP"; expected "MutableMapping[str, object]" accepts_dict(x) # E: Argument 1 to "accepts_dict" has incompatible type "TP"; expected "dict[str, object]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyAndNotRequired] from typing import ReadOnly, TypedDict, NotRequired class TP(TypedDict): one: ReadOnly[NotRequired[int]] two: NotRequired[ReadOnly[str]] x: TP reveal_type(x) # N: Revealed type is "TypedDict('__main__.TP', {'one'?=: builtins.int, 'two'?=: builtins.str})" reveal_type(x.get("one")) # N: Revealed type is "Union[builtins.int, None]" reveal_type(x.get("two")) # N: Revealed type is "Union[builtins.str, None]" x["one"] = 1 # E: ReadOnly TypedDict key "one" TypedDict is mutated x["two"] = "a" # E: ReadOnly TypedDict key "two" TypedDict is mutated [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testMeetOfTypedDictsWithReadOnly] from typing import TypeVar, Callable, TypedDict, ReadOnly XY = TypedDict('XY', {'x': ReadOnly[int], 'y': int}) YZ = TypedDict('YZ', {'y': int, 'z': ReadOnly[int]}) T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass def g(x: XY, y: YZ) -> None: pass reveal_type(f(g)) # N: Revealed type is "TypedDict({'x'=: builtins.int, 'y': builtins.int, 'z'=: builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyUnpack] from typing import TypedDict from typing_extensions import Unpack, ReadOnly class TD(TypedDict): x: ReadOnly[int] y: str def func(**kwargs: Unpack[TD]): kwargs["x"] = 1 # E: ReadOnly TypedDict key "x" TypedDict is mutated kwargs["y" ] = "a" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testIncorrectTypedDictSpecialFormsUsage] from typing import ReadOnly, TypedDict, NotRequired, Required x: ReadOnly[int] # E: ReadOnly[] can be only used in a TypedDict definition y: Required[int] # E: Required[] can be only used in a TypedDict definition z: NotRequired[int] # E: NotRequired[] can be only used in a TypedDict definition class TP(TypedDict): a: ReadOnly[ReadOnly[int]] # E: "ReadOnly[]" type cannot be nested b: ReadOnly[NotRequired[ReadOnly[str]]] # E: "ReadOnly[]" type cannot be nested c: NotRequired[Required[int]] # E: "Required[]" type cannot be nested d: Required[NotRequired[int]] # E: "NotRequired[]" type cannot be nested e: Required[ReadOnly[NotRequired[int]]] # E: "NotRequired[]" type cannot be nested f: ReadOnly[ReadOnly[ReadOnly[int]]] # E: "ReadOnly[]" type cannot be nested g: Required[Required[int]] # E: "Required[]" type cannot be nested h: NotRequired[NotRequired[int]] # E: "NotRequired[]" type cannot be nested j: NotRequired[ReadOnly[Required[ReadOnly[int]]]] # E: "Required[]" type cannot be nested \ # E: "ReadOnly[]" type cannot be nested k: ReadOnly # E: "ReadOnly[]" must have exactly one type argument [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAnnotatedWithSpecialForms] from typing import NotRequired, ReadOnly, Required, TypedDict from typing_extensions import Annotated class A(TypedDict): a: Annotated[NotRequired[ReadOnly[int]], ""] # ok b: NotRequired[ReadOnly[Annotated[int, ""]]] # ok [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictReadOnlyCovariant] from typing import ReadOnly, TypedDict, Union class A(TypedDict): a: ReadOnly[Union[int, str]] class A2(TypedDict): a: ReadOnly[int] class B(TypedDict): a: int class B2(TypedDict): a: Union[int, str] class B3(TypedDict): a: int def fa(a: A) -> None: ... def fa2(a: A2) -> None: ... b: B = {"a": 1} fa(b) fa2(b) b2: B2 = {"a": 1} fa(b2) fa2(b2) # E: Argument 1 to "fa2" has incompatible type "B2"; expected "A2" class C(TypedDict): a: ReadOnly[Union[int, str]] b: Union[str, bytes] class D(TypedDict): a: int b: str d: D = {"a": 1, "b": "x"} c: C = d # E: Incompatible types in assignment (expression has type "D", variable has type "C") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictFinalAndClassVar] from typing import TypedDict, Final, ClassVar class My(TypedDict): a: Final # E: Final[...] can't be used inside a TypedDict b: Final[int] # E: Final[...] can't be used inside a TypedDict c: ClassVar # E: ClassVar[...] can't be used inside a TypedDict d: ClassVar[int] # E: ClassVar[...] can't be used inside a TypedDict Func = TypedDict('Func', { 'a': Final, # E: Final[...] can't be used inside a TypedDict 'b': Final[int], # E: Final[...] can't be used inside a TypedDict 'c': ClassVar, # E: ClassVar[...] can't be used inside a TypedDict 'd': ClassVar[int], # E: ClassVar[...] can't be used inside a TypedDict }) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictNestedInClassAndInherited] from typing import TypedDict class Base: class Params(TypedDict): name: str class Derived(Base): pass class DerivedOverride(Base): class Params(Base.Params): pass Base.Params(name="Robert") Derived.Params(name="Robert") DerivedOverride.Params(name="Robert") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testEnumAsClassMemberNoCrash] # https://github.com/python/mypy/issues/18736 from typing import TypedDict class Base: def __init__(self, namespace: dict[str, str]) -> None: # Not a bug: trigger defer names = {n: n for n in namespace if fail} # E: Name "fail" is not defined self.d = TypedDict("d", names) # E: TypedDict type as attribute is not supported \ # E: TypedDict() expects a dictionary literal as the second argument [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAlias] from typing import NotRequired, TypedDict from typing_extensions import TypeAlias class Base(TypedDict): foo: int Base1 = Base class Child1(Base1): bar: NotRequired[int] c11: Child1 = {"foo": 0} c12: Child1 = {"foo": 0, "bar": 1} c13: Child1 = {"foo": 0, "bar": 1, "baz": "error"} # E: Extra key "baz" for TypedDict "Child1" Base2: TypeAlias = Base class Child2(Base2): bar: NotRequired[int] c21: Child2 = {"foo": 0} c22: Child2 = {"foo": 0, "bar": 1} c23: Child2 = {"foo": 0, "bar": 1, "baz": "error"} # E: Extra key "baz" for TypedDict "Child2" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAliasInheritance] from typing import TypedDict from typing_extensions import TypeAlias class A(TypedDict): x: str class B(TypedDict): y: int B1 = B B2: TypeAlias = B class C(A, B1): pass c1: C = {"y": 1} # E: Missing key "x" for TypedDict "C" c2: C = {"x": "x", "y": 2} c3: C = {"x": 1, "y": 2} # E: Incompatible types (expression has type "int", TypedDict item "x" has type "str") class D(A, B2): pass d1: D = {"y": 1} # E: Missing key "x" for TypedDict "D" d2: D = {"x": "x", "y": 2} d3: D = {"x": 1, "y": 2} # E: Incompatible types (expression has type "int", TypedDict item "x" has type "str") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAliasDuplicateBases] from typing import TypedDict from typing_extensions import TypeAlias class A(TypedDict): x: str A1 = A A2 = A A3: TypeAlias = A class E(A1, A2): pass # E: Duplicate base class "A" class F(A1, A3): pass # E: Duplicate base class "A" class G(A, A1): pass # E: Duplicate base class "A" class H(A, list): pass # E: All bases of a new TypedDict must be TypedDict types [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAliasGeneric] from typing import Generic, TypedDict, TypeVar from typing_extensions import TypeAlias _T = TypeVar("_T") class A(Generic[_T], TypedDict): x: _T # This is by design - no_args aliases are only supported for instances A0 = A class B(A0[str]): # E: Bad number of arguments for type alias, expected 0, given 1 y: int A1 = A[_T] A2: TypeAlias = A[_T] Aint = A[int] class C(A1[_T]): y: str c1: C[int] = {"x": 0, "y": "a"} c2: C[int] = {"x": "no", "y": "a"} # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") class D(A2[_T]): y: str d1: D[int] = {"x": 0, "y": "a"} d2: D[int] = {"x": "no", "y": "a"} # E: Incompatible types (expression has type "str", TypedDict item "x" has type "int") class E(Aint): y: str e1: E = {"x": 0, "y": "a"} e2: E = {"x": "no", "y": "a"} [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAliasAsInstanceAttribute] from typing import TypedDict class Dicts: class TF(TypedDict, total=False): user_id: int TotalFalse = TF dicts = Dicts() reveal_type(dicts.TF) # N: Revealed type is "def (*, user_id: builtins.int =) -> TypedDict('__main__.Dicts.TF', {'user_id'?: builtins.int})" reveal_type(dicts.TotalFalse) # N: Revealed type is "def (*, user_id: builtins.int =) -> TypedDict('__main__.Dicts.TF', {'user_id'?: builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testRecursiveNestedTypedDictInference] from typing import TypedDict, Sequence from typing_extensions import NotRequired class Component(TypedDict): type: str components: NotRequired[Sequence['Component']] inputs: Sequence[Component] = [{ 'type': 'tuple', 'components': [ {'type': 'uint256'}, {'type': 'address'}, ] }] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypedDictAssignableToWiderContext] from typing import TypedDict, Union class TD(TypedDict): x: int x: Union[TD, dict[str, str]] = {"x": "foo"} y: Union[TD, dict[str, int]] = {"x": "foo"} # E: Dict entry 0 has incompatible type "str": "str"; expected "str": "int" def ok(d: Union[TD, dict[str, str]]) -> None: ... ok({"x": "foo"}) def bad(d: Union[TD, dict[str, int]]) -> None: ... bad({"x": "foo"}) # E: Dict entry 0 has incompatible type "str": "str"; expected "str": "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-typeform.test0000644000175100017510000010543615112307767020756 0ustar00runnerrunner-- TypeForm Type [case testRecognizesUnparameterizedTypeFormInAnnotation] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm = str reveal_type(typx) # N: Revealed type is "TypeForm[Any]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testRecognizesParameterizedTypeFormInAnnotation] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm[str] = str reveal_type(typx) # N: Revealed type is "TypeForm[builtins.str]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Type Expression Location: Assignment [case testCanAssignTypeExpressionToTypeFormVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm[str] = str [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanAssignTypeExpressionToUnionTypeFormVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm[str | None] = str | None [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCannotAssignTypeExpressionToTypeFormVariableWithIncompatibleItemType] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm[str] = int # E: Incompatible types in assignment (expression has type "TypeForm[int]", variable has type "TypeForm[str]") [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanAssignValueExpressionToTypeFormVariableIfValueIsATypeForm1] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx1: TypeForm = str typx2: TypeForm = typx1 # looks like a type expression: name [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanAssignValueExpressionToTypeFormVariableIfValueIsATypeForm2] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm def identity_tf(x: TypeForm) -> TypeForm: return x typx1: TypeForm = str typx2: TypeForm = identity_tf(typx1) # does not look like a type expression [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCannotAssignValueExpressionToTypeFormVariableIfValueIsNotATypeForm] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm val: int = 42 typx: TypeForm = val # E: Incompatible types in assignment (expression has type "int", variable has type "TypeForm[Any]") [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanAssignNoneTypeExpressionToTypeFormVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm = None reveal_type(typx) # N: Revealed type is "TypeForm[Any]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanAssignTypeExpressionToTypeFormVariableDeclaredEarlier] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Type, TypeForm typ: Type typ = int | None # E: Incompatible types in assignment (expression has type "object", variable has type "type[Any]") typx: TypeForm typx = int | None [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanAssignTypeExpressionWithStringAnnotationToTypeFormVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm[str | None] = 'str | None' [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Type Expression Location: Function Parameter [case testCanPassTypeExpressionToTypeFormParameterInFunction] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm def is_type(typx: TypeForm) -> bool: return isinstance(typx, type) is_type(int | None) [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCannotPassTypeExpressionToTypeParameter] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm def is_type(typ: type) -> bool: return isinstance(typ, type) is_type(int | None) # E: Argument 1 to "is_type" has incompatible type "object"; expected "type" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanPassTypeExpressionToTypeFormParameterInMethod] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm class C: def is_type(self, typx: TypeForm) -> bool: return isinstance(typx, type) C().is_type(int | None) [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanPassTypeExpressionToTypeFormParameterInOverload] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import overload, TypeForm @overload def is_type(typx: TypeForm) -> bool: ... @overload def is_type(typx: type) -> bool: ... def is_type(typx): return isinstance(typx, type) is_type(int | None) [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanPassTypeExpressionToTypeFormParameterInDecorator] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Callable, TypeForm, TypeVar P = TypeVar('P') R = TypeVar('R') def expects_type(typx: TypeForm) -> Callable[[Callable[[P], R]], Callable[[P], R]]: def wrap(func: Callable[[P], R]) -> Callable[[P], R]: func.expected_type = typx # type: ignore[attr-defined] return func return wrap @expects_type(int | None) def sum_ints(x: int | None) -> int: return (x or 0) [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanPassTypeExpressionToTypeFormVarargsParameter] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Callable, ParamSpec, TypeForm, TypeVar P = ParamSpec('P') R = TypeVar('R') def expects_types(*typxs: TypeForm) -> Callable[[Callable[P, R]], Callable[P, R]]: def wrap(func: Callable[P, R]) -> Callable[P, R]: func.expected_types = typxs # type: ignore[attr-defined] return func return wrap @expects_types(int | None, int) def sum_ints(x: int | None, y: int) -> tuple[int, int]: return ((x or 0), y) [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanPassTypeExpressionWithStringAnnotationToTypeFormParameter] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm def is_type(typx: TypeForm) -> bool: return isinstance(typx, type) is_type('int | None') [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Type Expression Location: Return Statement [case testCanReturnTypeExpressionInFunctionWithTypeFormReturnType] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm def maybe_int_type() -> TypeForm: return int | None reveal_type(maybe_int_type()) # N: Revealed type is "TypeForm[Any]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testCanReturnTypeExpressionWithStringAnnotationInFunctionWithTypeFormReturnType] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm def maybe_int_type() -> TypeForm: return 'int | None' reveal_type(maybe_int_type()) # N: Revealed type is "TypeForm[Any]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Type Expression Location: Other -- In particular ensure that ExpressionChecker.try_parse_as_type_expression() in -- the TypeChecker pass is able to parse types correctly even though it doesn't -- have the same rich context as SemanticAnalyzer.try_parse_as_type_expression(). [case testTypeExpressionWithoutStringAnnotationRecognizedInOtherSyntacticLocations] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Dict, List, TypeForm list_of_typx: List[TypeForm] = [int | str] dict_with_typx_keys: Dict[TypeForm, int] = { int | str: 1, str | None: 2, } dict_with_typx_keys[int | str] + 1 [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testTypeExpressionWithStringAnnotationNotRecognizedInOtherSyntacticLocations] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Dict, List, TypeForm list_of_typx: List[TypeForm] = ['int | str'] # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. \ # E: List item 0 has incompatible type "str"; expected "TypeForm[Any]" dict_with_typx_keys: Dict[TypeForm, int] = { 'int | str': 1, # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. \ # E: Dict entry 0 has incompatible type "str": "int"; expected "TypeForm[Any]": "int" 'str | None': 2, # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. \ # E: Dict entry 1 has incompatible type "str": "int"; expected "TypeForm[Any]": "int" } dict_with_typx_keys['int | str'] += 1 # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. \ # E: Invalid index type "str" for "dict[TypeForm[Any], int]"; expected type "TypeForm[Any]" [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testValueExpressionWithStringInTypeFormContextEmitsConservativeWarning] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Any, Dict, List, TypeForm types: Dict[str, TypeForm] = {'any': Any} # Ensure warning can be ignored if does not apply. list_of_typx1: List[TypeForm] = [types['any']] # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. list_of_typx2: List[TypeForm] = [types['any']] # type: ignore[maybe-unrecognized-str-typeform] # Ensure warning can be fixed using the suggested fix in the warning message. list_of_typx3: List[TypeForm] = ['Any'] # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. \ # E: List item 0 has incompatible type "str"; expected "TypeForm[Any]" list_of_typx4: List[TypeForm] = [TypeForm('Any')] [builtins fixtures/dict.pyi] [typing fixtures/typing-full.pyi] [case testSelfRecognizedInOtherSyntacticLocations] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import List, Self, TypeForm class C: def foo(self) -> None: list_of_typx1: List[TypeForm] = [Self] typx1: TypeForm = Self typx2: TypeForm = 'Self' list_of_typx2: List[TypeForm] = [Self] # E: List item 0 has incompatible type "int"; expected "TypeForm[Any]" typx3: TypeForm = Self # E: Incompatible types in assignment (expression has type "int", variable has type "TypeForm[Any]") typx4: TypeForm = 'Self' # E: Incompatible types in assignment (expression has type "str", variable has type "TypeForm[Any]") [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testNameOrDottedNameRecognizedInOtherSyntacticLocations] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm import typing from typing import List, TypeForm list_of_typx: List[TypeForm] = [List | typing.Optional[str]] typx: TypeForm = List | typing.Optional[str] [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testInvalidNameOrDottedNameRecognizedInOtherSyntacticLocations] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import List, TypeForm list_of_typx1: List[TypeForm] = [NoSuchType] # E: Name "NoSuchType" is not defined list_of_typx2: List[TypeForm] = [no_such_module.NoSuchType] # E: Name "no_such_module" is not defined typx1: TypeForm = NoSuchType # E: Name "NoSuchType" is not defined typx2: TypeForm = no_such_module.NoSuchType # E: Name "no_such_module" is not defined [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Type Expression Context: Union[TypeForm, ] [case testAcceptsTypeFormLiteralAssignedToUnionOfTypeFormAndNonStr] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx_or_int1: TypeForm[int | None] | int = int | None # No error; interpret as TypeForm typx_or_int2: TypeForm[int | None] | int = str | None # E: Incompatible types in assignment (expression has type "object", variable has type "Union[TypeForm[Optional[int]], int]") typx_or_int3: TypeForm[int | None] | int = 1 typx_or_int4: TypeForm[int | None] | int = object() # E: Incompatible types in assignment (expression has type "object", variable has type "Union[TypeForm[Optional[int]], int]") [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testAcceptsTypeFormLiteralAssignedToUnionOfTypeFormAndStr] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx_or_str1: TypeForm[int | None] | str = 'int | None' typx_or_str2: TypeForm[int | None] | str = 'str | None' # No error; interpret as str typx_or_str3: TypeForm[int | None] | str = 'hello' typx_or_str4: TypeForm[int | None] | str = object() # E: Incompatible types in assignment (expression has type "object", variable has type "Union[TypeForm[Optional[int]], str]") [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testValueExpressionWithStringInTypeFormUnionContextEmitsConservativeWarning1] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import List, TypeForm list_of_typx1: List[TypeForm[int | None] | str] = ['int | None'] # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. list_of_typx2: List[TypeForm[int | None] | str] = ['str | None'] # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testValueExpressionWithStringInTypeFormUnionContextEmitsConservativeWarning2] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import List, TypeForm list_of_typx3: List[TypeForm[int | None] | int] = ['int | None'] # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. \ # E: List item 0 has incompatible type "str"; expected "Union[TypeForm[Optional[int]], int]" list_of_typx4: List[TypeForm[str | None] | int] = ['str | None'] # E: TypeForm containing a string annotation cannot be recognized here. Surround with TypeForm(...) to recognize. \ # E: List item 0 has incompatible type "str"; expected "Union[TypeForm[Optional[str]], int]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Assignability (is_subtype) [case testTypeFormToTypeFormAssignability] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T1] is assignable to TypeForm[T2] iff T1 is assignable to T2. # - In particular TypeForm[Any] is assignable to TypeForm[Any]. from typing_extensions import TypeForm INT_OR_STR_TF: TypeForm[int | str] = int | str INT_TF: TypeForm[int] = int STR_TF: TypeForm[str] = str OBJECT_TF: TypeForm[object] = object ANY_TF: TypeForm = object reveal_type(ANY_TF) # N: Revealed type is "TypeForm[Any]" typx1: TypeForm[int | str] = INT_OR_STR_TF typx2: TypeForm[int | str] = INT_TF typx3: TypeForm[int | str] = STR_TF typx4: TypeForm[int | str] = OBJECT_TF # E: Incompatible types in assignment (expression has type "TypeForm[object]", variable has type "TypeForm[Union[int, str]]") typx5: TypeForm[int | str] = ANY_TF # no error typx6: TypeForm[int] = INT_OR_STR_TF # E: Incompatible types in assignment (expression has type "TypeForm[Union[int, str]]", variable has type "TypeForm[int]") typx7: TypeForm[int] = INT_TF typx8: TypeForm[int] = STR_TF # E: Incompatible types in assignment (expression has type "TypeForm[str]", variable has type "TypeForm[int]") typx9: TypeForm[int] = OBJECT_TF # E: Incompatible types in assignment (expression has type "TypeForm[object]", variable has type "TypeForm[int]") typx10: TypeForm[int] = ANY_TF # no error [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testTypeToTypeFormAssignability] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - Type[C] is assignable to TypeForm[T] iff C is assignable to T. # - In particular Type[Any] is assignable to TypeForm[Any]. from typing import Type, TypeForm INT_T: Type[int] = int STR_T: Type[str] = str OBJECT_T: Type[object] = object ANY_T: Type = object reveal_type(ANY_T) # N: Revealed type is "type[Any]" typx1: TypeForm[int | str] = INT_T typx2: TypeForm[int | str] = STR_T typx3: TypeForm[int | str] = OBJECT_T # E: Incompatible types in assignment (expression has type "type[object]", variable has type "TypeForm[Union[int, str]]") typx4: TypeForm[int | str] = ANY_T # no error typx5: TypeForm[int] = INT_T typx6: TypeForm[int] = STR_T # E: Incompatible types in assignment (expression has type "type[str]", variable has type "TypeForm[int]") typx7: TypeForm[int] = OBJECT_T # E: Incompatible types in assignment (expression has type "type[object]", variable has type "TypeForm[int]") typx8: TypeForm[int] = ANY_T # no error [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testTypeFormToTypeAssignability] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T] is NOT assignable to Type[C]. # - In particular TypeForm[Any] is NOT assignable to Type[Any]. from typing import Type, TypeForm INT_OR_STR_TF: TypeForm[int | str] = int | str INT_TF: TypeForm[int] = int STR_TF: TypeForm[str] = str OBJECT_TF: TypeForm[object] = object ANY_TF: TypeForm = object reveal_type(ANY_TF) # N: Revealed type is "TypeForm[Any]" typ1: Type[int] = INT_OR_STR_TF # E: Incompatible types in assignment (expression has type "TypeForm[Union[int, str]]", variable has type "type[int]") typ2: Type[int] = INT_TF # E: Incompatible types in assignment (expression has type "TypeForm[int]", variable has type "type[int]") typ3: Type[int] = STR_TF # E: Incompatible types in assignment (expression has type "TypeForm[str]", variable has type "type[int]") typ4: Type[int] = OBJECT_TF # E: Incompatible types in assignment (expression has type "TypeForm[object]", variable has type "type[int]") typ5: Type[int] = ANY_TF # E: Incompatible types in assignment (expression has type "TypeForm[Any]", variable has type "type[int]") typ6: Type[object] = INT_OR_STR_TF # E: Incompatible types in assignment (expression has type "TypeForm[Union[int, str]]", variable has type "type[object]") typ7: Type[object] = INT_TF # E: Incompatible types in assignment (expression has type "TypeForm[int]", variable has type "type[object]") typ8: Type[object] = STR_TF # E: Incompatible types in assignment (expression has type "TypeForm[str]", variable has type "type[object]") typ9: Type[object] = OBJECT_TF # E: Incompatible types in assignment (expression has type "TypeForm[object]", variable has type "type[object]") typ10: Type[object] = ANY_TF # E: Incompatible types in assignment (expression has type "TypeForm[Any]", variable has type "type[object]") [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] # NOTE: This test doesn't involve TypeForm at all, but is still illustrative # when compared with similarly structured TypeForm-related tests above. [case testTypeToTypeAssignability] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - Type[C1] is assignable to Type[C2] iff C1 is assignable to C2. # - In particular Type[Any] is assignable to Type[Any]. from typing import Type INT_T: Type[int] = int STR_T: Type[str] = str OBJECT_T: Type[object] = object ANY_T: Type = object reveal_type(ANY_T) # N: Revealed type is "type[Any]" typ1: Type[int] = INT_T typ2: Type[int] = STR_T # E: Incompatible types in assignment (expression has type "type[str]", variable has type "type[int]") typ3: Type[int] = OBJECT_T # E: Incompatible types in assignment (expression has type "type[object]", variable has type "type[int]") typ4: Type[int] = ANY_T # no error typ5: Type[object] = INT_T typ6: Type[object] = STR_T typ7: Type[object] = OBJECT_T typ8: Type[object] = ANY_T # no error [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testTypeFormToObjectAssignability] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T] is assignable to object and Any. from typing import Any, TypeForm INT_TF: TypeForm[int] = int OBJECT_TF: TypeForm[object] = object ANY_TF: TypeForm = object reveal_type(ANY_TF) # N: Revealed type is "TypeForm[Any]" obj1: object = INT_TF obj2: object = OBJECT_TF obj3: object = ANY_TF any1: Any = INT_TF any2: Any = OBJECT_TF any3: Any = ANY_TF [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Join (join_types) [case testTypeFormToTypeFormJoin] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T1] join TypeForm[T2] == TypeForm[T1 join T2] from typing_extensions import TypeForm class AB: pass class A(AB): pass class B(AB): pass A_TF: TypeForm[A] = A B_TF: TypeForm[B] = B reveal_type([A_TF, B_TF][0]) # N: Revealed type is "TypeForm[__main__.AB]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testTypeToTypeFormJoin] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T1] join Type[T2] == TypeForm[T1 join T2] from typing import Type, TypeForm class AB: pass class A(AB): pass class B(AB): pass A_T: Type[A] = A B_TF: TypeForm[B] = B reveal_type([A_T, B_TF][0]) # N: Revealed type is "TypeForm[__main__.AB]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testTypeFormToTypeJoin] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T1] join Type[T2] == TypeForm[T1 join T2] from typing import Type, TypeForm class AB: pass class A(AB): pass class B(AB): pass A_TF: TypeForm[A] = A B_T: Type[B] = B reveal_type([A_TF, B_T][0]) # N: Revealed type is "TypeForm[__main__.AB]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] # NOTE: This test doesn't involve TypeForm at all, but is still illustrative # when compared with similarly structured TypeForm-related tests above. [case testTypeToTypeJoin] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - Type[T1] join Type[T2] == Type[T1 join T2] from typing import Type, TypeForm class AB: pass class A(AB): pass class B(AB): pass A_T: Type[A] = A B_T: Type[B] = B reveal_type([A_T, B_T][0]) # N: Revealed type is "type[__main__.AB]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Meet (meet_types) [case testTypeFormToTypeFormMeet] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T1] meet TypeForm[T2] == TypeForm[T1 meet T2] from typing import Callable, TypeForm, TypeVar class AB: pass class A(AB): pass class B(AB): pass class C(AB): pass T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass # type: ignore[empty-body] def g(x: TypeForm[A | B], y: TypeForm[B | C]) -> None: pass reveal_type(f(g)) # N: Revealed type is "TypeForm[__main__.B]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testTypeToTypeFormMeet] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T1] meet Type[T2] == Type[T1 meet T2] from typing import Callable, Type, TypeForm, TypeVar class AB: pass class A(AB): pass class B(AB): pass class C(AB): pass T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass # type: ignore[empty-body] def g(x: Type[B], y: TypeForm[B | C]) -> None: pass reveal_type(f(g)) # N: Revealed type is "type[__main__.B]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testTypeFormToTypeMeet] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - TypeForm[T1] meet Type[T2] == Type[T1 meet T2] from typing import Callable, Type, TypeForm, TypeVar class AB: pass class A(AB): pass class B(AB): pass class C(AB): pass T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass # type: ignore[empty-body] def g(x: TypeForm[A | B], y: Type[B]) -> None: pass reveal_type(f(g)) # N: Revealed type is "type[__main__.B]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] # NOTE: This test doesn't involve TypeForm at all, but is still illustrative # when compared with similarly structured TypeForm-related tests above. [case testTypeToTypeMeet] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # - Type[T1] meet Type[T2] == Type[T1 meet T2] from typing import Callable, Type, TypedDict, TypeForm, TypeVar class AB(TypedDict): a: str b: str class BC(TypedDict): b: str c: str T = TypeVar('T') def f(x: Callable[[T, T], None]) -> T: pass # type: ignore[empty-body] def g(x: Type[AB], y: Type[BC]) -> None: pass reveal_type(f(g)) # N: Revealed type is "type[TypedDict({'b': builtins.str, 'c': builtins.str, 'a': builtins.str})]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- TypeForm(...) Expression [case testTypeFormExpression] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm tf1 = TypeForm(int | str) reveal_type(tf1) # N: Revealed type is "TypeForm[Union[builtins.int, builtins.str]]" tf2 = TypeForm('int | str') reveal_type(tf2) # N: Revealed type is "TypeForm[Union[builtins.int, builtins.str]]" tf3: TypeForm = TypeForm(int | str) reveal_type(tf3) # N: Revealed type is "TypeForm[Any]" tf4: TypeForm = TypeForm(1) # E: Invalid type: try using Literal[1] instead? tf5: TypeForm = TypeForm(int) | TypeForm(str) # E: Incompatible types in assignment (expression has type "object", variable has type "TypeForm[Any]") tf6: TypeForm = TypeForm(TypeForm(int) | TypeForm(str)) # E: TypeForm argument is not a type [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- isinstance [case testTypeFormAndTypeIsinstance] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm[str] = str if isinstance(typx, type): reveal_type(typx) # N: Revealed type is "type[builtins.str]" else: reveal_type(typx) # N: Revealed type is "TypeForm[builtins.str]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Type Variables [case testLinkTypeFormToTypeFormWithTypeVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm, TypeVar T = TypeVar('T') def as_typeform(typx: TypeForm[T]) -> TypeForm[T]: return typx reveal_type(as_typeform(int | str)) # N: Revealed type is "TypeForm[Union[builtins.int, builtins.str]]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testLinkTypeFormToTypeWithTypeVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Type, TypeForm, TypeVar T = TypeVar('T') def as_type(typx: TypeForm[T]) -> Type[T] | None: if isinstance(typx, type): return typx else: return None reveal_type(as_type(int | str)) # N: Revealed type is "Union[type[builtins.int], type[builtins.str], None]" reveal_type(as_type(int)) # N: Revealed type is "Union[type[builtins.int], None]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testLinkTypeFormToInstanceWithTypeVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm, TypeVar T = TypeVar('T') def as_instance(typx: TypeForm[T]) -> T | None: if isinstance(typx, type): return typx() else: return None reveal_type(as_instance(int | str)) # N: Revealed type is "Union[builtins.int, builtins.str, None]" reveal_type(as_instance(int)) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testLinkTypeFormToTypeIsWithTypeVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm, TypeVar from typing_extensions import TypeIs T = TypeVar('T') def isassignable(value: object, typx: TypeForm[T]) -> TypeIs[T]: raise BaseException() count: int | str = 1 if isassignable(count, int): reveal_type(count) # N: Revealed type is "builtins.int" else: reveal_type(count) # N: Revealed type is "builtins.str" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testLinkTypeFormToTypeGuardWithTypeVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm, TypeVar from typing_extensions import TypeGuard T = TypeVar('T') def isassignable(value: object, typx: TypeForm[T]) -> TypeGuard[T]: raise BaseException() count: int | str = 1 if isassignable(count, int): reveal_type(count) # N: Revealed type is "builtins.int" else: reveal_type(count) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Type Expressions Assignable To TypeForm Variable [case testEveryKindOfTypeExpressionIsAssignableToATypeFormVariable] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm # NOTE: Importing Callable from collections.abc also works OK from typing import ( Any, Callable, Dict, List, Literal, LiteralString, NoReturn, Optional, ParamSpec, Self, Type, TypeGuard, TypeVar, Union, ) from typing_extensions import ( Annotated, Concatenate, Never, TypeAlias, TypeForm, TypeIs, TypeVarTuple, Unpack, ) # class SomeClass: pass SomeTypeAlias: TypeAlias = SomeClass SomeTypeVar = TypeVar('SomeTypeVar') Ts = TypeVarTuple('Ts') IntTuple: TypeAlias = tuple[int, Unpack[Ts]] P = ParamSpec('P') R = TypeVar('R') # typx: TypeForm # Begin rules taken from: https://typing.python.org/en/latest/spec/annotations.html#grammar-token-expression-grammar-type_expression # typx = Any class SelfBinder: def bind_self(self) -> Self: typx: TypeForm # (valid only in some contexts) typx = Self return self # typx = LiteralString # typx = NoReturn # typx = Never # typx = None # name (where name must refer to a valid in-scope class) typx = SomeClass # name (where name must refer to a valid in-scope type alias) typx = SomeTypeAlias # name (where name must refer to a valid in-scope TypeVar) # NOTE: Unbound TypeVar isn't currently accepted as a TypeForm. Is that OK? typx = SomeTypeVar # E: Incompatible types in assignment (expression has type "TypeVar", variable has type "TypeForm[Any]") # name '[' type_expression (',' type_expression)* ']' typx = Dict[str, int] # (TODO: Add: name '[' unpacked ']') # (TODO: Add: name '[' type_expression_list (',' type_expression_list)* ']') # name '[' '(' ')' ']' (denoting specialization with an empty TypeVarTuple) typx = IntTuple[()] # '[' expression (',' expression) ']' typx = Literal[1] # type_expression '|' type_expression typx = int | str # '[' type_expression ']' typx = Optional[str] # '[' type_expression (',' type_expression)* ']' typx = Union[int, str] # '[' ']' typx = type[Any] # '[' name ']' (where name must refer to a valid in-scope class) typx = type[int] # (TODO: Add: '[' name ']' (where name must refer to a valid in-scope TypeVar)) # '[' '...' ',' type_expression ']' typx = Callable[..., str] def bind_R(input: R) -> R: typx: TypeForm # '[' name ',' type_expression ']' (where name must be a valid in-scope ParamSpec) typx = Callable[P, R] # '[' '[' (type_expression ',')+ # (name | '...') ']' ',' type_expression ']' # (where name must be a valid in-scope ParamSpec) typx = Callable[Concatenate[int, P], R] return input # '[' '[' maybe_unpacked (',' maybe_unpacked)* ']' ',' type_expression ']' typx = Callable[[int, str], None] # '[' '(' ')' ']' (representing an empty tuple) typx = tuple[()] # '[' type_expression ',' '...' ']' (representing an arbitrary-length tuple) typx = tuple[int, ...] # '[' maybe_unpacked (',' maybe_unpacked)* ']' typx = tuple[int, str] # '[' type_expression ',' expression (',' expression)* ']' typx = Annotated[str, 'uppercase'] # '[' type_expression ']' (valid only in some contexts) typx = TypeGuard[List[str]] # '[' type_expression ']' (valid only in some contexts) typx = TypeIs[List[str]] # string_annotation (must evaluate to a valid type_expression) typx = 'int | str' # End rules [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- Misc [case testTypeFormHasAllObjectAttributesAndMethods] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm typx: TypeForm[int | str] = int | str print(typx.__class__) # OK print(typx.__hash__()) # OK obj: object = typx [file builtins.py] class object: def __init__(self) -> None: pass __class__: None def __hash__(self) -> int: pass def print(x): raise BaseException() class int: pass class dict: pass class str: pass class type: pass class tuple: pass class ellipsis: pass class BaseException: pass class float: pass [typing fixtures/typing-full.pyi] [case testDottedTypeFormsAreRecognized] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing_extensions import TypeForm import typing class C1: class C2: pass typx1: TypeForm[C1.C2] = C1.C2 # OK typx2: TypeForm[typing.Any] = typing.Any # OK [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] -- mypy already refused to recognize TypeVars in value expressions before -- the TypeForm feature was introduced. [case testTypeVarTypeFormsAreOnlyRecognizedInStringAnnotation] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Generic, List, TypeForm, TypeVar E = TypeVar('E') class Box(Generic[E]): def foo(self, e: E) -> None: list_of_typx: List[TypeForm] = [E] # E: "E" is a type variable and only valid in type context typx1: TypeForm = E # E: "E" is a type variable and only valid in type context typx2: TypeForm = 'E' [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] [case testIncompleteTypeFormsAreNotRecognized] # flags: --python-version 3.14 --enable-incomplete-feature=TypeForm from typing import Optional, TypeForm typx: TypeForm = Optional # E: Incompatible types in assignment (expression has type "int", variable has type "TypeForm[Any]") [builtins fixtures/primitives.pyi] [typing fixtures/typing-full.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-typeguard.test0000644000175100017510000006651415112307767021120 0ustar00runnerrunner[case testTypeGuardBasic] from typing_extensions import TypeGuard class Point: pass def is_point(a: object) -> TypeGuard[Point]: pass def main(a: object) -> None: if is_point(a): reveal_type(a) # N: Revealed type is "__main__.Point" else: reveal_type(a) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [case testTypeGuardTypeArgsNone] from typing_extensions import TypeGuard def foo(a: object) -> TypeGuard: # E: TypeGuard must have exactly one type argument pass [builtins fixtures/tuple.pyi] [case testTypeGuardTypeArgsTooMany] from typing_extensions import TypeGuard def foo(a: object) -> TypeGuard[int, int]: # E: TypeGuard must have exactly one type argument pass [builtins fixtures/tuple.pyi] [case testTypeGuardTypeArgType] from typing_extensions import TypeGuard def foo(a: object) -> TypeGuard[42]: # E: Invalid type: try using Literal[42] instead? pass [builtins fixtures/tuple.pyi] [case testTypeGuardRepr] from typing_extensions import TypeGuard def foo(a: object) -> TypeGuard[int]: pass reveal_type(foo) # N: Revealed type is "def (a: builtins.object) -> TypeGuard[builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeGuardCallArgsNone] from typing_extensions import TypeGuard class Point: pass def is_point() -> TypeGuard[Point]: pass # E: TypeGuard functions must have a positional argument def main(a: object) -> None: if is_point(): reveal_type(a) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [case testTypeGuardCallArgsMultiple] from typing_extensions import TypeGuard class Point: pass def is_point(a: object, b: object) -> TypeGuard[Point]: pass def main(a: object, b: object) -> None: if is_point(a, b): reveal_type(a) # N: Revealed type is "__main__.Point" reveal_type(b) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [case testTypeGuardTypeVarReturn] from typing import Callable, Optional, TypeVar from typing_extensions import TypeGuard T = TypeVar('T') def is_str(x: object) -> TypeGuard[str]: pass def main(x: object, type_check_func: Callable[[object], TypeGuard[T]]) -> T: if not type_check_func(x): raise Exception() return x reveal_type(main("a", is_str)) # N: Revealed type is "builtins.str" [builtins fixtures/exception.pyi] [case testTypeGuardIsBool] from typing_extensions import TypeGuard def f(a: TypeGuard[int]) -> None: pass reveal_type(f) # N: Revealed type is "def (a: builtins.bool)" a: TypeGuard[int] reveal_type(a) # N: Revealed type is "builtins.bool" class C: a: TypeGuard[int] reveal_type(C().a) # N: Revealed type is "builtins.bool" [builtins fixtures/tuple.pyi] [case testTypeGuardWithTypeVar] from typing import TypeVar, Tuple from typing_extensions import TypeGuard T = TypeVar('T') def is_two_element_tuple(a: Tuple[T, ...]) -> TypeGuard[Tuple[T, T]]: pass def main(a: Tuple[T, ...]): if is_two_element_tuple(a): reveal_type(a) # N: Revealed type is "tuple[T`-1, T`-1]" [builtins fixtures/tuple.pyi] [case testTypeGuardPassedAsTypeVarIsBool] from typing import Callable, TypeVar from typing_extensions import TypeGuard T = TypeVar('T') def is_str(x: object) -> TypeGuard[str]: ... def main(f: Callable[[object], T]) -> T: ... reveal_type(main(is_str)) # N: Revealed type is "builtins.bool" [builtins fixtures/tuple.pyi] [case testTypeGuardNonOverlapping] from typing import List from typing_extensions import TypeGuard def is_str_list(a: List[object]) -> TypeGuard[List[str]]: pass def main(a: List[object]): if is_str_list(a): reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(a) # N: Revealed type is "builtins.list[builtins.object]" [builtins fixtures/tuple.pyi] [case testTypeGuardUnionIn] from typing import Union from typing_extensions import TypeGuard def is_foo(a: Union[int, str]) -> TypeGuard[str]: pass def main(a: Union[str, int]) -> None: if is_foo(a): reveal_type(a) # N: Revealed type is "builtins.str" reveal_type(a) # N: Revealed type is "Union[builtins.str, builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeGuardUnionOut] from typing import Union from typing_extensions import TypeGuard def is_foo(a: object) -> TypeGuard[Union[int, str]]: pass def main(a: object) -> None: if is_foo(a): reveal_type(a) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeGuardNonzeroFloat] from typing_extensions import TypeGuard def is_nonzero(a: object) -> TypeGuard[float]: pass def main(a: int): if is_nonzero(a): reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [case testTypeGuardHigherOrder] from typing import Callable, TypeVar, Iterable, List from typing_extensions import TypeGuard T = TypeVar('T') R = TypeVar('R') def filter(f: Callable[[T], TypeGuard[R]], it: Iterable[T]) -> Iterable[R]: pass def is_float(a: object) -> TypeGuard[float]: pass a: List[object] = ["a", 0, 0.0] b = filter(is_float, a) reveal_type(b) # N: Revealed type is "typing.Iterable[builtins.float]" [builtins fixtures/tuple.pyi] [case testTypeGuardMethod] from typing_extensions import TypeGuard class C: def main(self, a: object) -> None: if self.is_float(a): reveal_type(self) # N: Revealed type is "__main__.C" reveal_type(a) # N: Revealed type is "builtins.float" def is_float(self, a: object) -> TypeGuard[float]: pass [builtins fixtures/tuple.pyi] [case testTypeGuardCrossModule] import guard from points import Point def main(a: object) -> None: if guard.is_point(a): reveal_type(a) # N: Revealed type is "points.Point" [file guard.py] from typing_extensions import TypeGuard import points def is_point(a: object) -> TypeGuard[points.Point]: pass [file points.py] class Point: pass [builtins fixtures/tuple.pyi] [case testTypeGuardBodyRequiresBool] from typing_extensions import TypeGuard def is_float(a: object) -> TypeGuard[float]: return "not a bool" # E: Incompatible return value type (got "str", expected "bool") [builtins fixtures/tuple.pyi] [case testTypeGuardNarrowToTypedDict] from typing import Dict, TypedDict from typing_extensions import TypeGuard class User(TypedDict): name: str id: int def is_user(a: Dict[str, object]) -> TypeGuard[User]: return isinstance(a.get("name"), str) and isinstance(a.get("id"), int) def main(a: Dict[str, object]) -> None: if is_user(a): reveal_type(a) # N: Revealed type is "TypedDict('__main__.User', {'name': builtins.str, 'id': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypeGuardInAssert] from typing_extensions import TypeGuard def is_float(a: object) -> TypeGuard[float]: pass def main(a: object) -> None: assert is_float(a) reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [case testTypeGuardFromAny] from typing import Any from typing_extensions import TypeGuard def is_objfloat(a: object) -> TypeGuard[float]: pass def is_anyfloat(a: Any) -> TypeGuard[float]: pass def objmain(a: object) -> None: if is_objfloat(a): reveal_type(a) # N: Revealed type is "builtins.float" if is_anyfloat(a): reveal_type(a) # N: Revealed type is "builtins.float" def anymain(a: Any) -> None: if is_objfloat(a): reveal_type(a) # N: Revealed type is "builtins.float" if is_anyfloat(a): reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [case testTypeGuardNegatedAndElse] from typing import Union from typing_extensions import TypeGuard def is_int(a: object) -> TypeGuard[int]: pass def is_str(a: object) -> TypeGuard[str]: pass def intmain(a: Union[int, str]) -> None: if not is_int(a): reveal_type(a) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(a) # N: Revealed type is "builtins.int" def strmain(a: Union[int, str]) -> None: if is_str(a): reveal_type(a) # N: Revealed type is "builtins.str" else: reveal_type(a) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeGuardClassMethod] from typing_extensions import TypeGuard class C: @classmethod def is_float(cls, a: object) -> TypeGuard[float]: pass def method(self, a: object) -> None: if self.is_float(a): reveal_type(a) # N: Revealed type is "builtins.float" def main(a: object) -> None: if C.is_float(a): reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/classmethod.pyi] [case testTypeGuardRequiresPositionalArgs] from typing_extensions import TypeGuard def is_float(a: object, b: object = 0) -> TypeGuard[float]: pass def main1(a: object) -> None: if is_float(a=a, b=1): reveal_type(a) # N: Revealed type is "builtins.float" if is_float(b=1, a=a): reveal_type(a) # N: Revealed type is "builtins.float" # This is debatable -- should we support these cases? ta = (a,) if is_float(*ta): # E: Type guard requires positional argument reveal_type(ta) # N: Revealed type is "tuple[builtins.object]" reveal_type(a) # N: Revealed type is "builtins.object" la = [a] if is_float(*la): # E: Type guard requires positional argument reveal_type(la) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(a) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [case testTypeGuardOverload] from typing import overload, Any, Callable, Iterable, Iterator, List, Optional, TypeVar from typing_extensions import TypeGuard T = TypeVar("T") R = TypeVar("R") @overload def filter(f: Callable[[T], TypeGuard[R]], it: Iterable[T]) -> Iterator[R]: ... @overload def filter(f: Callable[[T], bool], it: Iterable[T]) -> Iterator[T]: ... def filter(*args): pass def is_int_typeguard(a: object) -> TypeGuard[int]: pass def is_int_bool(a: object) -> bool: pass def main(a: List[Optional[int]]) -> None: bb = filter(lambda x: x is not None, a) reveal_type(bb) # N: Revealed type is "typing.Iterator[Union[builtins.int, None]]" # Also, if you replace 'bool' with 'Any' in the second overload, bb is Iterator[Any] cc = filter(is_int_typeguard, a) reveal_type(cc) # N: Revealed type is "typing.Iterator[builtins.int]" dd = filter(is_int_bool, a) reveal_type(dd) # N: Revealed type is "typing.Iterator[Union[builtins.int, None]]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testTypeGuardDecorated] from typing import TypeVar from typing_extensions import TypeGuard T = TypeVar("T") def decorator(f: T) -> T: pass @decorator def is_float(a: object) -> TypeGuard[float]: pass def main(a: object) -> None: if is_float(a): reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [case testTypeGuardMethodOverride] from typing_extensions import TypeGuard class C: def is_float(self, a: object) -> TypeGuard[float]: pass class D(C): def is_float(self, a: object) -> bool: pass # Fail [builtins fixtures/tuple.pyi] [out] main:5: error: Signature of "is_float" incompatible with supertype "C" main:5: note: Superclass: main:5: note: def is_float(self, a: object) -> TypeGuard[float] main:5: note: Subclass: main:5: note: def is_float(self, a: object) -> bool [case testTypeGuardInAnd] from typing import Any from typing_extensions import TypeGuard import types def isclass(a: object) -> bool: pass def ismethod(a: object) -> TypeGuard[float]: pass def isfunction(a: object) -> TypeGuard[str]: pass def isclassmethod(obj: Any) -> bool: if ismethod(obj) and obj.__self__ is not None and isclass(obj.__self__): # E: "float" has no attribute "__self__" return True return False def coverage(obj: Any) -> bool: if not (ismethod(obj) or isfunction(obj)): return True return False [builtins fixtures/classmethod.pyi] [case testAssignToTypeGuardedVariable1] from typing_extensions import TypeGuard class A: pass class B(A): pass def guard(a: A) -> TypeGuard[B]: pass a = A() if not guard(a): a = A() [builtins fixtures/tuple.pyi] [case testAssignToTypeGuardedVariable2] from typing_extensions import TypeGuard class A: pass class B: pass def guard(a: A) -> TypeGuard[B]: pass a = A() if not guard(a): a = A() [builtins fixtures/tuple.pyi] [case testAssignToTypeGuardedVariable3] from typing_extensions import TypeGuard class A: pass class B: pass def guard(a: A) -> TypeGuard[B]: pass a = A() if guard(a): reveal_type(a) # N: Revealed type is "__main__.B" a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") reveal_type(a) # N: Revealed type is "__main__.B" a = A() reveal_type(a) # N: Revealed type is "__main__.A" reveal_type(a) # N: Revealed type is "__main__.A" [builtins fixtures/tuple.pyi] [case testTypeGuardNestedRestrictionAny] from typing_extensions import TypeGuard from typing import Any class A: ... def f(x: object) -> TypeGuard[A]: ... def g(x: object) -> None: ... def test(x: Any) -> None: if not(f(x) or x): return g(reveal_type(x)) # N: Revealed type is "Union[__main__.A, Any]" [builtins fixtures/tuple.pyi] [case testTypeGuardNestedRestrictionUnionOther] from typing_extensions import TypeGuard from typing import Any class A: ... class B: ... def f(x: object) -> TypeGuard[A]: ... def f2(x: object) -> TypeGuard[B]: ... def g(x: object) -> None: ... def test(x: object) -> None: if not(f(x) or f2(x)): return g(reveal_type(x)) # N: Revealed type is "Union[__main__.A, __main__.B]" [builtins fixtures/tuple.pyi] [case testTypeGuardComprehensionSubtype] from typing import List from typing_extensions import TypeGuard class Base: ... class Foo(Base): ... class Bar(Base): ... def is_foo(item: object) -> TypeGuard[Foo]: return isinstance(item, Foo) def is_bar(item: object) -> TypeGuard[Bar]: return isinstance(item, Bar) def foobar(items: List[object]): a: List[Base] = [x for x in items if is_foo(x) or is_bar(x)] b: List[Base] = [x for x in items if is_foo(x)] c: List[Bar] = [x for x in items if is_foo(x)] # E: List comprehension has incompatible type List[Foo]; expected List[Bar] [builtins fixtures/tuple.pyi] [case testTypeGuardNestedRestrictionUnionIsInstance] from typing_extensions import TypeGuard from typing import Any, List class A: ... def f(x: List[object]) -> TypeGuard[List[str]]: ... def g(x: object) -> None: ... def test(x: List[object]) -> None: if not(f(x) or isinstance(x, A)): return g(reveal_type(x)) # N: Revealed type is "Union[builtins.list[builtins.str], __main__.]" [builtins fixtures/tuple.pyi] [case testTypeGuardMultipleCondition-xfail] from typing_extensions import TypeGuard from typing import Any, List class Foo: ... class Bar: ... def is_foo(item: object) -> TypeGuard[Foo]: return isinstance(item, Foo) def is_bar(item: object) -> TypeGuard[Bar]: return isinstance(item, Bar) def foobar(x: object): if not isinstance(x, Foo) or not isinstance(x, Bar): return reveal_type(x) # N: Revealed type is "__main__." def foobar_typeguard(x: object): if not is_foo(x) or not is_bar(x): return reveal_type(x) # N: Revealed type is "__main__." [builtins fixtures/tuple.pyi] [case testTypeGuardAsFunctionArgAsBoolSubtype] from typing import Callable from typing_extensions import TypeGuard def accepts_bool(f: Callable[[object], bool]): pass def with_bool_typeguard(o: object) -> TypeGuard[bool]: pass def with_str_typeguard(o: object) -> TypeGuard[str]: pass def with_bool(o: object) -> bool: pass accepts_bool(with_bool_typeguard) accepts_bool(with_str_typeguard) accepts_bool(with_bool) [builtins fixtures/tuple.pyi] [case testTypeGuardAsFunctionArg] from typing import Callable from typing_extensions import TypeGuard def accepts_typeguard(f: Callable[[object], TypeGuard[bool]]): pass def different_typeguard(f: Callable[[object], TypeGuard[str]]): pass def with_typeguard(o: object) -> TypeGuard[bool]: pass def with_bool(o: object) -> bool: pass accepts_typeguard(with_typeguard) accepts_typeguard(with_bool) # E: Argument 1 to "accepts_typeguard" has incompatible type "Callable[[object], bool]"; expected "Callable[[object], TypeGuard[bool]]" different_typeguard(with_typeguard) # E: Argument 1 to "different_typeguard" has incompatible type "Callable[[object], TypeGuard[bool]]"; expected "Callable[[object], TypeGuard[str]]" different_typeguard(with_bool) # E: Argument 1 to "different_typeguard" has incompatible type "Callable[[object], bool]"; expected "Callable[[object], TypeGuard[str]]" [builtins fixtures/tuple.pyi] [case testTypeGuardAsGenericFunctionArg] from typing import Callable, TypeVar from typing_extensions import TypeGuard T = TypeVar('T') def accepts_typeguard(f: Callable[[object], TypeGuard[T]]): pass def with_bool_typeguard(o: object) -> TypeGuard[bool]: pass def with_str_typeguard(o: object) -> TypeGuard[str]: pass def with_bool(o: object) -> bool: pass accepts_typeguard(with_bool_typeguard) accepts_typeguard(with_str_typeguard) accepts_typeguard(with_bool) # E: Argument 1 to "accepts_typeguard" has incompatible type "Callable[[object], bool]"; expected "Callable[[object], TypeGuard[Never]]" [builtins fixtures/tuple.pyi] [case testTypeGuardAsOverloadedFunctionArg] # https://github.com/python/mypy/issues/11307 from typing import Callable, TypeVar, Generic, Any, overload from typing_extensions import TypeGuard _T = TypeVar('_T') class filter(Generic[_T]): @overload def __init__(self, function: Callable[[object], TypeGuard[_T]]) -> None: pass @overload def __init__(self, function: Callable[[_T], Any]) -> None: pass def __init__(self, function): pass def is_int_typeguard(a: object) -> TypeGuard[int]: pass def returns_bool(a: object) -> bool: pass reveal_type(filter(is_int_typeguard)) # N: Revealed type is "__main__.filter[builtins.int]" reveal_type(filter(returns_bool)) # N: Revealed type is "__main__.filter[builtins.object]" [builtins fixtures/tuple.pyi] [case testTypeGuardSubtypingVariance] from typing import Callable from typing_extensions import TypeGuard class A: pass class B(A): pass class C(B): pass def accepts_typeguard(f: Callable[[object], TypeGuard[B]]): pass def with_typeguard_a(o: object) -> TypeGuard[A]: pass def with_typeguard_b(o: object) -> TypeGuard[B]: pass def with_typeguard_c(o: object) -> TypeGuard[C]: pass accepts_typeguard(with_typeguard_a) # E: Argument 1 to "accepts_typeguard" has incompatible type "Callable[[object], TypeGuard[A]]"; expected "Callable[[object], TypeGuard[B]]" accepts_typeguard(with_typeguard_b) accepts_typeguard(with_typeguard_c) [builtins fixtures/tuple.pyi] [case testTypeGuardWithIdentityGeneric] from typing import TypeVar from typing_extensions import TypeGuard _T = TypeVar("_T") def identity(val: _T) -> TypeGuard[_T]: pass def func1(name: _T): reveal_type(name) # N: Revealed type is "_T`-1" if identity(name): reveal_type(name) # N: Revealed type is "_T`-1" def func2(name: str): reveal_type(name) # N: Revealed type is "builtins.str" if identity(name): reveal_type(name) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testTypeGuardWithGenericInstance] from typing import TypeVar, List from typing_extensions import TypeGuard _T = TypeVar("_T") def is_list_of_str(val: _T) -> TypeGuard[List[_T]]: pass def func(name: str): reveal_type(name) # N: Revealed type is "builtins.str" if is_list_of_str(name): reveal_type(name) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeGuardWithTupleGeneric] from typing import TypeVar, Tuple from typing_extensions import TypeGuard _T = TypeVar("_T") def is_two_element_tuple(val: Tuple[_T, ...]) -> TypeGuard[Tuple[_T, _T]]: pass def func(names: Tuple[str, ...]): reveal_type(names) # N: Revealed type is "builtins.tuple[builtins.str, ...]" if is_two_element_tuple(names): reveal_type(names) # N: Revealed type is "tuple[builtins.str, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeGuardErroneousDefinitionFails] from typing_extensions import TypeGuard class Z: def typeguard1(self, *, x: object) -> TypeGuard[int]: # line 4 ... @staticmethod def typeguard2(x: object) -> TypeGuard[int]: ... @staticmethod # line 11 def typeguard3(*, x: object) -> TypeGuard[int]: ... def bad_typeguard(*, x: object) -> TypeGuard[int]: # line 15 ... # In Python 3.8 the line number associated with FunctionDef nodes changed [builtins fixtures/classmethod.pyi] [out] main:4: error: TypeGuard functions must have a positional argument main:12: error: TypeGuard functions must have a positional argument main:15: error: TypeGuard functions must have a positional argument [case testTypeGuardWithKeywordArg] from typing_extensions import TypeGuard class Z: def typeguard(self, x: object) -> TypeGuard[int]: ... def typeguard(x: object) -> TypeGuard[int]: ... n: object if typeguard(x=n): reveal_type(n) # N: Revealed type is "builtins.int" if Z().typeguard(x=n): reveal_type(n) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testStaticMethodTypeGuard] from typing_extensions import TypeGuard class Y: @staticmethod def typeguard(h: object) -> TypeGuard[int]: ... x: object if Y().typeguard(x): reveal_type(x) # N: Revealed type is "builtins.int" if Y.typeguard(x): reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [case testTypeGuardKwargFollowingThroughOverloaded] from typing import overload, Union from typing_extensions import TypeGuard @overload def typeguard(x: object, y: str) -> TypeGuard[str]: ... @overload def typeguard(x: object, y: int) -> TypeGuard[int]: ... def typeguard(x: object, y: Union[int, str]) -> Union[TypeGuard[int], TypeGuard[str]]: ... x: object if typeguard(x=x, y=42): reveal_type(x) # N: Revealed type is "builtins.int" if typeguard(y=42, x=x): reveal_type(x) # N: Revealed type is "builtins.int" if typeguard(x=x, y="42"): reveal_type(x) # N: Revealed type is "builtins.str" if typeguard(y="42", x=x): reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testGenericAliasWithTypeGuard] from typing import Callable, List, TypeVar from typing_extensions import TypeGuard, TypeAlias A = Callable[[object], TypeGuard[List[T]]] def foo(x: object) -> TypeGuard[List[str]]: ... def test(f: A[T]) -> T: ... reveal_type(test(foo)) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [case testNoCrashOnDunderCallTypeGuard] from typing_extensions import TypeGuard class A: def __call__(self, x) -> TypeGuard[int]: return True a: A assert a(x=1) x: object assert a(x=x) reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] # https://github.com/python/mypy/issues/19575 [case testNoCrashOnDunderCallTypeGuardTemporaryObject] from typing_extensions import TypeGuard class E: def __init__(self) -> None: ... def __call__(self, o: object) -> TypeGuard[int]: return True x = object() if E()(x): reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testNoCrashOnDunderCallTypeIsTemporaryObject] from typing_extensions import TypeIs class E: def __init__(self) -> None: ... def __call__(self, o: object) -> TypeIs[int]: return True x = object() if E()(x): reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testNoCrashOnDunderCallTypeIsTemporaryObjectGeneric] from typing import Generic, TypeVar from typing_extensions import TypeIs T = TypeVar("T") class E(Generic[T]): def __init__(self) -> None: ... def __call__(self, o: object) -> TypeIs[T]: return True x = object() if E[int]()(x): reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testTypeGuardTemporaryObjectWithKeywordArg] from typing_extensions import TypeGuard class E: def __init__(self) -> None: ... def __call__(self, o: object) -> TypeGuard[int]: return True x = object() if E()(o=x): reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testTypeGuardRestrictAwaySingleInvariant] from typing import List from typing_extensions import TypeGuard class B: ... class C(B): ... def is_c_list(x: list[B]) -> TypeGuard[list[C]]: ... def test() -> None: x: List[B] if not is_c_list(x): reveal_type(x) # N: Revealed type is "builtins.list[__main__.B]" return reveal_type(x) # N: Revealed type is "builtins.list[__main__.C]" [builtins fixtures/tuple.pyi] [case testTypeGuardedTypeDoesNotLeak] # https://github.com/python/mypy/issues/18895 from enum import Enum from typing import Literal, Union from typing_extensions import TypeGuard class Model(str, Enum): A1 = 'model_a1' A2 = 'model_a2' B = 'model_b' MODEL_A = Literal[Model.A1, Model.A2] MODEL_B = Literal[Model.B] def is_model_a(model: str) -> TypeGuard[MODEL_A]: return True def is_model_b(model: str) -> TypeGuard[MODEL_B]: return True def process_model(model: Union[MODEL_A, MODEL_B]) -> int: return 42 def handle(model: Model) -> int: if is_model_a(model) or is_model_b(model): reveal_type(model) # N: Revealed type is "__main__.Model" return process_model(model) return 0 [builtins fixtures/tuple.pyi] [case testTypeGuardedTypeDoesNotLeakTypeVar] # flags: --debug-serialize # https://github.com/python/mypy/issues/20015 from typing import Generic, TypeVar, TypeGuard class A: ... class B: ... def is_a(_: object) -> TypeGuard[A]: return True def is_b(_: object) -> TypeGuard[B]: return True _T = TypeVar("_T") class Foo(Generic[_T]): def __init__(self, v: _T) -> None: if is_a(v) or is_b(v): self.v = v [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testTypeGuardRestrictTypeVarUnion] from typing import Union, TypeVar from typing_extensions import TypeGuard class A: x: int class B: x: str def is_b(x: object) -> TypeGuard[B]: ... T = TypeVar("T") def test(x: T) -> T: if isinstance(x, A) or is_b(x): reveal_type(x.x) # N: Revealed type is "Union[builtins.int, builtins.str]" return x [builtins fixtures/isinstance.pyi] [case testOverloadedTypeGuardType] from __future__ import annotations from typing_extensions import TypeIs, Never, overload class X: ... @overload # E: An overloaded function outside a stub file must have an implementation def is_xlike(obj: Never) -> TypeIs[X | type[X]]: ... # type: ignore @overload def is_xlike(obj: type) -> TypeIs[type[X]]: ... @overload def is_xlike(obj: object) -> TypeIs[X | type[X]]: ... raw_target: object if isinstance(raw_target, type) and is_xlike(raw_target): reveal_type(raw_target) # N: Revealed type is "type[__main__.X]" [builtins fixtures/tuple.pyi] [case testTypeGuardWithDefer] from typing import Union from typing_extensions import TypeGuard class A: ... class B: ... def is_a(x: object) -> TypeGuard[A]: return defer_not_defined() # E: Name "defer_not_defined" is not defined def main(x: Union[A, B]) -> None: if is_a(x): reveal_type(x) # N: Revealed type is "__main__.A" else: reveal_type(x) # N: Revealed type is "Union[__main__.A, __main__.B]" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-typeis.test0000644000175100017510000007317615112307767020433 0ustar00runnerrunner[case testTypeIsBasic] from typing_extensions import TypeIs class Point: pass def is_point(a: object) -> TypeIs[Point]: pass def main(a: object) -> None: if is_point(a): reveal_type(a) # N: Revealed type is "__main__.Point" else: reveal_type(a) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [case testTypeIsElif] from typing_extensions import TypeIs from typing import Union class Point: pass def is_point(a: object) -> TypeIs[Point]: pass class Line: pass def is_line(a: object) -> TypeIs[Line]: pass def main(a: Union[Point, Line, int]) -> None: if is_point(a): reveal_type(a) # N: Revealed type is "__main__.Point" elif is_line(a): reveal_type(a) # N: Revealed type is "__main__.Line" else: reveal_type(a) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testTypeIsTypeArgsNone] from typing_extensions import TypeIs def foo(a: object) -> TypeIs: # E: TypeIs must have exactly one type argument pass [builtins fixtures/tuple.pyi] [case testTypeIsTypeArgsTooMany] from typing_extensions import TypeIs def foo(a: object) -> TypeIs[int, int]: # E: TypeIs must have exactly one type argument pass [builtins fixtures/tuple.pyi] [case testTypeIsTypeArgType] from typing_extensions import TypeIs def foo(a: object) -> TypeIs[42]: # E: Invalid type: try using Literal[42] instead? pass [builtins fixtures/tuple.pyi] [case testTypeIsRepr] from typing_extensions import TypeIs def foo(a: object) -> TypeIs[int]: pass reveal_type(foo) # N: Revealed type is "def (a: builtins.object) -> TypeIs[builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeIsCallArgsNone] from typing_extensions import TypeIs class Point: pass def is_point() -> TypeIs[Point]: pass # E: "TypeIs" functions must have a positional argument def main(a: object) -> None: if is_point(): reveal_type(a) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [case testTypeIsCallArgsMultiple] from typing_extensions import TypeIs class Point: pass def is_point(a: object, b: object) -> TypeIs[Point]: pass def main(a: object, b: object) -> None: if is_point(a, b): reveal_type(a) # N: Revealed type is "__main__.Point" reveal_type(b) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [case testTypeIsIsBool] from typing_extensions import TypeIs def f(a: TypeIs[int]) -> None: pass reveal_type(f) # N: Revealed type is "def (a: builtins.bool)" a: TypeIs[int] reveal_type(a) # N: Revealed type is "builtins.bool" class C: a: TypeIs[int] reveal_type(C().a) # N: Revealed type is "builtins.bool" [builtins fixtures/tuple.pyi] [case testTypeIsWithTypeVar] from typing import TypeVar, Tuple, Type from typing_extensions import TypeIs T = TypeVar('T') def is_tuple_of_type(a: Tuple[object, ...], typ: Type[T]) -> TypeIs[Tuple[T, ...]]: pass def main(a: Tuple[object, ...]): if is_tuple_of_type(a, int): reveal_type(a) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [case testTypeIsTypeVarReturn] from typing import Callable, Optional, TypeVar from typing_extensions import TypeIs T = TypeVar('T') def is_str(x: object) -> TypeIs[str]: pass def main(x: object, type_check_func: Callable[[object], TypeIs[T]]) -> T: if not type_check_func(x): raise Exception() return x reveal_type(main("a", is_str)) # N: Revealed type is "builtins.str" [builtins fixtures/exception.pyi] [case testTypeIsPassedAsTypeVarIsBool] from typing import Callable, TypeVar from typing_extensions import TypeIs T = TypeVar('T') def is_str(x: object) -> TypeIs[str]: pass def main(f: Callable[[object], T]) -> T: pass reveal_type(main(is_str)) # N: Revealed type is "builtins.bool" [builtins fixtures/tuple.pyi] [case testTypeIsUnionIn] from typing import Union from typing_extensions import TypeIs def is_foo(a: Union[int, str]) -> TypeIs[str]: pass def main(a: Union[str, int]) -> None: if is_foo(a): reveal_type(a) # N: Revealed type is "builtins.str" else: reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(a) # N: Revealed type is "Union[builtins.str, builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeIsUnionOut] from typing import Union from typing_extensions import TypeIs def is_foo(a: object) -> TypeIs[Union[int, str]]: pass def main(a: object) -> None: if is_foo(a): reveal_type(a) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeIsUnionWithGeneric] from typing import Any, List, Sequence, Union from typing_extensions import TypeIs def is_int_list(a: object) -> TypeIs[List[int]]: pass def is_int_seq(a: object) -> TypeIs[Sequence[int]]: pass def is_seq(a: object) -> TypeIs[Sequence[Any]]: pass def f1(a: Union[List[int], List[str]]) -> None: if is_int_list(a): reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" else: reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(a) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.list[builtins.str]]" def f2(a: Union[List[int], int]) -> None: if is_int_list(a): reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" else: reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(a) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.int]" def f3(a: Union[List[bool], List[str]]) -> None: if is_int_seq(a): reveal_type(a) # N: Revealed type is "builtins.list[builtins.bool]" else: reveal_type(a) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(a) # N: Revealed type is "Union[builtins.list[builtins.bool], builtins.list[builtins.str]]" def f4(a: Union[List[int], int]) -> None: if is_seq(a): reveal_type(a) # N: Revealed type is "builtins.list[builtins.int]" else: reveal_type(a) # N: Revealed type is "builtins.int" reveal_type(a) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeIsTupleGeneric] # flags: --warn-unreachable from __future__ import annotations from typing_extensions import TypeIs, Unpack class A: ... class B: ... def is_tuple_of_B(v: tuple[A | B, ...]) -> TypeIs[tuple[B, ...]]: ... def test1(t: tuple[A]) -> None: if is_tuple_of_B(t): reveal_type(t) # E: Statement is unreachable else: reveal_type(t) # N: Revealed type is "tuple[__main__.A]" def test2(t: tuple[B, A]) -> None: if is_tuple_of_B(t): reveal_type(t) # E: Statement is unreachable else: reveal_type(t) # N: Revealed type is "tuple[__main__.B, __main__.A]" def test3(t: tuple[A | B]) -> None: if is_tuple_of_B(t): reveal_type(t) # N: Revealed type is "tuple[__main__.B]" else: reveal_type(t) # N: Revealed type is "tuple[Union[__main__.A, __main__.B]]" def test4(t: tuple[A | B, A | B]) -> None: if is_tuple_of_B(t): reveal_type(t) # N: Revealed type is "tuple[__main__.B, __main__.B]" else: reveal_type(t) # N: Revealed type is "tuple[Union[__main__.A, __main__.B], Union[__main__.A, __main__.B]]" def test5(t: tuple[A | B, ...]) -> None: if is_tuple_of_B(t): reveal_type(t) # N: Revealed type is "builtins.tuple[__main__.B, ...]" else: reveal_type(t) # N: Revealed type is "builtins.tuple[Union[__main__.A, __main__.B], ...]" def test6(t: tuple[B, Unpack[tuple[A | B, ...]], B]) -> None: if is_tuple_of_B(t): # Should this be tuple[B, *tuple[B, ...], B] reveal_type(t) # N: Revealed type is "tuple[__main__.B, Never, __main__.B]" else: reveal_type(t) # N: Revealed type is "tuple[__main__.B, Unpack[builtins.tuple[Union[__main__.A, __main__.B], ...]], __main__.B]" [builtins fixtures/tuple.pyi] [case testTypeIsNonzeroFloat] from typing_extensions import TypeIs def is_nonzero(a: object) -> TypeIs[float]: pass def main(a: int): if is_nonzero(a): reveal_type(a) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testTypeIsHigherOrder] from typing import Callable, TypeVar, Iterable, List from typing_extensions import TypeIs T = TypeVar('T') R = TypeVar('R') def filter(f: Callable[[T], TypeIs[R]], it: Iterable[T]) -> Iterable[R]: pass def is_float(a: object) -> TypeIs[float]: pass a: List[object] = ["a", 0, 0.0] b = filter(is_float, a) reveal_type(b) # N: Revealed type is "typing.Iterable[builtins.float]" [builtins fixtures/tuple.pyi] [case testTypeIsMethod] from typing_extensions import TypeIs class C: def main(self, a: object) -> None: if self.is_float(a): reveal_type(self) # N: Revealed type is "__main__.C" reveal_type(a) # N: Revealed type is "builtins.float" def is_float(self, a: object) -> TypeIs[float]: pass [builtins fixtures/tuple.pyi] [case testTypeIsCrossModule] import guard from points import Point def main(a: object) -> None: if guard.is_point(a): reveal_type(a) # N: Revealed type is "points.Point" [file guard.py] from typing_extensions import TypeIs import points def is_point(a: object) -> TypeIs[points.Point]: pass [file points.py] class Point: pass [builtins fixtures/tuple.pyi] [case testTypeIsBodyRequiresBool] from typing_extensions import TypeIs def is_float(a: object) -> TypeIs[float]: return "not a bool" # E: Incompatible return value type (got "str", expected "bool") [builtins fixtures/tuple.pyi] [case testTypeIsNarrowToTypedDict] from typing import Mapping, TypedDict from typing_extensions import TypeIs class User(TypedDict): name: str id: int def is_user(a: Mapping[str, object]) -> TypeIs[User]: return isinstance(a.get("name"), str) and isinstance(a.get("id"), int) def main(a: Mapping[str, object]) -> None: if is_user(a): reveal_type(a) # N: Revealed type is "TypedDict('__main__.User', {'name': builtins.str, 'id': builtins.int})" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypeIsInAssert] from typing_extensions import TypeIs def is_float(a: object) -> TypeIs[float]: pass def main(a: object) -> None: assert is_float(a) reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [case testTypeIsFromAny] from typing import Any from typing_extensions import TypeIs def is_objfloat(a: object) -> TypeIs[float]: pass def is_anyfloat(a: Any) -> TypeIs[float]: pass def objmain(a: object) -> None: if is_objfloat(a): reveal_type(a) # N: Revealed type is "builtins.float" if is_anyfloat(a): reveal_type(a) # N: Revealed type is "builtins.float" def anymain(a: Any) -> None: if is_objfloat(a): reveal_type(a) # N: Revealed type is "builtins.float" if is_anyfloat(a): reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [case testTypeIsNegatedAndElse] from typing import Union from typing_extensions import TypeIs def is_int(a: object) -> TypeIs[int]: pass def is_str(a: object) -> TypeIs[str]: pass def intmain(a: Union[int, str]) -> None: if not is_int(a): reveal_type(a) # N: Revealed type is "builtins.str" else: reveal_type(a) # N: Revealed type is "builtins.int" def strmain(a: Union[int, str]) -> None: if is_str(a): reveal_type(a) # N: Revealed type is "builtins.str" else: reveal_type(a) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testTypeIsClassMethod] from typing_extensions import TypeIs class C: @classmethod def is_float(cls, a: object) -> TypeIs[float]: pass def method(self, a: object) -> None: if self.is_float(a): reveal_type(a) # N: Revealed type is "builtins.float" def main(a: object) -> None: if C.is_float(a): reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/classmethod.pyi] [case testTypeIsRequiresPositionalArgs] from typing_extensions import TypeIs def is_float(a: object, b: object = 0) -> TypeIs[float]: pass def main1(a: object) -> None: if is_float(a=a, b=1): reveal_type(a) # N: Revealed type is "builtins.float" if is_float(b=1, a=a): reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [case testTypeIsOverload] from typing import overload, Any, Callable, Iterable, Iterator, List, Optional, TypeVar from typing_extensions import TypeIs T = TypeVar("T") R = TypeVar("R") @overload def filter(f: Callable[[T], TypeIs[R]], it: Iterable[T]) -> Iterator[R]: ... @overload def filter(f: Callable[[T], bool], it: Iterable[T]) -> Iterator[T]: ... def filter(*args): pass def is_int_typeis(a: object) -> TypeIs[int]: pass def is_int_bool(a: object) -> bool: pass def main(a: List[Optional[int]]) -> None: bb = filter(lambda x: x is not None, a) reveal_type(bb) # N: Revealed type is "typing.Iterator[Union[builtins.int, None]]" # Also, if you replace 'bool' with 'Any' in the second overload, bb is Iterator[Any] cc = filter(is_int_typeis, a) reveal_type(cc) # N: Revealed type is "typing.Iterator[builtins.int]" dd = filter(is_int_bool, a) reveal_type(dd) # N: Revealed type is "typing.Iterator[Union[builtins.int, None]]" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testTypeIsDecorated] from typing import TypeVar from typing_extensions import TypeIs T = TypeVar("T") def decorator(f: T) -> T: pass @decorator def is_float(a: object) -> TypeIs[float]: pass def main(a: object) -> None: if is_float(a): reveal_type(a) # N: Revealed type is "builtins.float" [builtins fixtures/tuple.pyi] [case testTypeIsMethodOverride] from typing_extensions import TypeIs class C: def is_float(self, a: object) -> TypeIs[float]: pass class D(C): def is_float(self, a: object) -> bool: pass # Fail [builtins fixtures/tuple.pyi] [out] main:5: error: Signature of "is_float" incompatible with supertype "C" main:5: note: Superclass: main:5: note: def is_float(self, a: object) -> TypeIs[float] main:5: note: Subclass: main:5: note: def is_float(self, a: object) -> bool [case testTypeIsInAnd] from typing import Any from typing_extensions import TypeIs def isclass(a: object) -> bool: pass def isfloat(a: object) -> TypeIs[float]: pass def isstr(a: object) -> TypeIs[str]: pass def coverage1(obj: Any) -> bool: if isfloat(obj) and obj.__self__ is not None and isclass(obj.__self__): # E: "float" has no attribute "__self__" reveal_type(obj) # N: Revealed type is "builtins.float" return True reveal_type(obj) # N: Revealed type is "Any" return False def coverage2(obj: Any) -> bool: if not (isfloat(obj) or isstr(obj)): reveal_type(obj) # N: Revealed type is "Any" return True reveal_type(obj) # N: Revealed type is "Union[builtins.float, builtins.str]" return False [builtins fixtures/classmethod.pyi] [case testAssignToTypeIsedVariable1] from typing_extensions import TypeIs class A: pass class B(A): pass def guard(a: A) -> TypeIs[B]: pass a = A() if not guard(a): a = A() [builtins fixtures/tuple.pyi] [case testAssignToTypeIsedVariable2] from typing_extensions import TypeIs class A: pass class B: pass def guard(a: object) -> TypeIs[B]: pass a = A() if not guard(a): a = A() [builtins fixtures/tuple.pyi] [case testAssignToTypeIsedVariable3] from typing_extensions import TypeIs class A: pass class B: pass def guard(a: object) -> TypeIs[B]: pass a = A() if guard(a): reveal_type(a) # N: Revealed type is "__main__." a = B() # E: Incompatible types in assignment (expression has type "B", variable has type "A") reveal_type(a) # N: Revealed type is "__main__." a = A() reveal_type(a) # N: Revealed type is "__main__.A" reveal_type(a) # N: Revealed type is "__main__.A" [builtins fixtures/tuple.pyi] [case testTypeIsNestedRestrictionAny] from typing_extensions import TypeIs from typing import Any class A: ... def f(x: object) -> TypeIs[A]: ... def g(x: object) -> None: ... def test(x: Any) -> None: if not(f(x) or x): return g(reveal_type(x)) # N: Revealed type is "Union[__main__.A, Any]" [builtins fixtures/tuple.pyi] [case testTypeIsNestedRestrictionUnionOther] from typing_extensions import TypeIs from typing import Any class A: ... class B: ... def f(x: object) -> TypeIs[A]: ... def f2(x: object) -> TypeIs[B]: ... def g(x: object) -> None: ... def test(x: object) -> None: if not(f(x) or f2(x)): return g(reveal_type(x)) # N: Revealed type is "Union[__main__.A, __main__.B]" [builtins fixtures/tuple.pyi] [case testTypeIsComprehensionSubtype] from typing import List from typing_extensions import TypeIs class Base: ... class Foo(Base): ... class Bar(Base): ... def is_foo(item: object) -> TypeIs[Foo]: return isinstance(item, Foo) def is_bar(item: object) -> TypeIs[Bar]: return isinstance(item, Bar) def foobar(items: List[object]): a: List[Base] = [x for x in items if is_foo(x) or is_bar(x)] b: List[Base] = [x for x in items if is_foo(x)] c: List[Foo] = [x for x in items if is_foo(x)] d: List[Bar] = [x for x in items if is_foo(x)] # E: List comprehension has incompatible type List[Foo]; expected List[Bar] [builtins fixtures/tuple.pyi] [case testTypeIsNestedRestrictionUnionIsInstance] from typing_extensions import TypeIs from typing import Any, List class A: ... def f(x: List[Any]) -> TypeIs[List[str]]: ... def g(x: object) -> None: ... def test(x: List[Any]) -> None: if not(f(x) or isinstance(x, A)): return g(reveal_type(x)) # N: Revealed type is "Union[builtins.list[builtins.str], __main__.]" [builtins fixtures/tuple.pyi] [case testTypeIsMultipleCondition] from typing_extensions import TypeIs from typing import Any, List class Foo: ... class Bar: ... def is_foo(item: object) -> TypeIs[Foo]: return isinstance(item, Foo) def is_bar(item: object) -> TypeIs[Bar]: return isinstance(item, Bar) def foobar(x: object): if not isinstance(x, Foo) or not isinstance(x, Bar): return reveal_type(x) # N: Revealed type is "__main__." def foobar_typeis(x: object): if not is_foo(x) or not is_bar(x): return # Looks like a typo but this is what our unique name generation produces reveal_type(x) # N: Revealed type is "__main__." [builtins fixtures/tuple.pyi] [case testTypeIsAsFunctionArgAsBoolSubtype] from typing import Callable from typing_extensions import TypeIs def accepts_bool(f: Callable[[object], bool]): pass def with_bool_typeis(o: object) -> TypeIs[bool]: pass def with_str_typeis(o: object) -> TypeIs[str]: pass def with_bool(o: object) -> bool: pass accepts_bool(with_bool_typeis) accepts_bool(with_str_typeis) accepts_bool(with_bool) [builtins fixtures/tuple.pyi] [case testTypeIsAsFunctionArg] from typing import Callable from typing_extensions import TypeIs def accepts_typeis(f: Callable[[object], TypeIs[bool]]): pass def different_typeis(f: Callable[[object], TypeIs[str]]): pass def with_typeis(o: object) -> TypeIs[bool]: pass def with_bool(o: object) -> bool: pass accepts_typeis(with_typeis) accepts_typeis(with_bool) # E: Argument 1 to "accepts_typeis" has incompatible type "Callable[[object], bool]"; expected "Callable[[object], TypeIs[bool]]" different_typeis(with_typeis) # E: Argument 1 to "different_typeis" has incompatible type "Callable[[object], TypeIs[bool]]"; expected "Callable[[object], TypeIs[str]]" different_typeis(with_bool) # E: Argument 1 to "different_typeis" has incompatible type "Callable[[object], bool]"; expected "Callable[[object], TypeIs[str]]" [builtins fixtures/tuple.pyi] [case testTypeIsAsGenericFunctionArg] from typing import Callable, TypeVar from typing_extensions import TypeIs T = TypeVar('T') def accepts_typeis(f: Callable[[object], TypeIs[T]]): pass def with_bool_typeis(o: object) -> TypeIs[bool]: pass def with_str_typeis(o: object) -> TypeIs[str]: pass def with_bool(o: object) -> bool: pass accepts_typeis(with_bool_typeis) accepts_typeis(with_str_typeis) accepts_typeis(with_bool) # E: Argument 1 to "accepts_typeis" has incompatible type "Callable[[object], bool]"; expected "Callable[[object], TypeIs[Never]]" [builtins fixtures/tuple.pyi] [case testTypeIsAsOverloadedFunctionArg] # https://github.com/python/mypy/issues/11307 from typing import Callable, TypeVar, Generic, Any, overload from typing_extensions import TypeIs _T = TypeVar('_T') class filter(Generic[_T]): @overload def __init__(self, function: Callable[[object], TypeIs[_T]]) -> None: pass @overload def __init__(self, function: Callable[[_T], Any]) -> None: pass def __init__(self, function): pass def is_int_typeis(a: object) -> TypeIs[int]: pass def returns_bool(a: object) -> bool: pass reveal_type(filter(is_int_typeis)) # N: Revealed type is "__main__.filter[builtins.int]" reveal_type(filter(returns_bool)) # N: Revealed type is "__main__.filter[builtins.object]" [builtins fixtures/tuple.pyi] [case testTypeIsSubtypingVariance] from typing import Callable from typing_extensions import TypeIs class A: pass class B(A): pass class C(B): pass def accepts_typeis(f: Callable[[object], TypeIs[B]]): pass def with_typeis_a(o: object) -> TypeIs[A]: pass def with_typeis_b(o: object) -> TypeIs[B]: pass def with_typeis_c(o: object) -> TypeIs[C]: pass accepts_typeis(with_typeis_a) # E: Argument 1 to "accepts_typeis" has incompatible type "Callable[[object], TypeIs[A]]"; expected "Callable[[object], TypeIs[B]]" accepts_typeis(with_typeis_b) accepts_typeis(with_typeis_c) # E: Argument 1 to "accepts_typeis" has incompatible type "Callable[[object], TypeIs[C]]"; expected "Callable[[object], TypeIs[B]]" [builtins fixtures/tuple.pyi] [case testTypeIsWithIdentityGeneric] from typing import TypeVar from typing_extensions import TypeIs _T = TypeVar("_T") def identity(val: _T) -> TypeIs[_T]: pass def func1(name: _T): reveal_type(name) # N: Revealed type is "_T`-1" if identity(name): reveal_type(name) # N: Revealed type is "_T`-1" def func2(name: str): reveal_type(name) # N: Revealed type is "builtins.str" if identity(name): reveal_type(name) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testTypeIsWithGenericOnSecondParam] from typing import TypeVar from typing_extensions import TypeIs _R = TypeVar("_R") def guard(val: object, param: _R) -> TypeIs[_R]: pass def func1(name: object): reveal_type(name) # N: Revealed type is "builtins.object" if guard(name, name): reveal_type(name) # N: Revealed type is "builtins.object" if guard(name, 1): reveal_type(name) # N: Revealed type is "builtins.int" def func2(name: int): reveal_type(name) # N: Revealed type is "builtins.int" if guard(name, True): reveal_type(name) # N: Revealed type is "builtins.bool" [builtins fixtures/tuple.pyi] [case testTypeIsWithGenericInstance] from typing import TypeVar, List, Iterable from typing_extensions import TypeIs _T = TypeVar("_T") def is_list_of_str(val: Iterable[_T]) -> TypeIs[List[_T]]: pass def func(name: Iterable[str]): reveal_type(name) # N: Revealed type is "typing.Iterable[builtins.str]" if is_list_of_str(name): reveal_type(name) # N: Revealed type is "builtins.list[builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeIsWithTupleGeneric] from typing import TypeVar, Tuple from typing_extensions import TypeIs _T = TypeVar("_T") def is_two_element_tuple(val: Tuple[_T, ...]) -> TypeIs[Tuple[_T, _T]]: pass def func(names: Tuple[str, ...]): reveal_type(names) # N: Revealed type is "builtins.tuple[builtins.str, ...]" if is_two_element_tuple(names): reveal_type(names) # N: Revealed type is "tuple[builtins.str, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeIsErroneousDefinitionFails] from typing_extensions import TypeIs class Z: def typeis1(self, *, x: object) -> TypeIs[int]: # E: "TypeIs" functions must have a positional argument ... @staticmethod def typeis2(x: object) -> TypeIs[int]: ... @staticmethod def typeis3(*, x: object) -> TypeIs[int]: # E: "TypeIs" functions must have a positional argument ... def bad_typeis(*, x: object) -> TypeIs[int]: # E: "TypeIs" functions must have a positional argument ... [builtins fixtures/classmethod.pyi] [case testTypeIsWithKeywordArg] from typing_extensions import TypeIs class Z: def typeis(self, x: object) -> TypeIs[int]: ... def typeis(x: object) -> TypeIs[int]: ... n: object if typeis(x=n): reveal_type(n) # N: Revealed type is "builtins.int" if Z().typeis(x=n): reveal_type(n) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testStaticMethodTypeIs] from typing_extensions import TypeIs class Y: @staticmethod def typeis(h: object) -> TypeIs[int]: ... x: object if Y().typeis(x): reveal_type(x) # N: Revealed type is "builtins.int" if Y.typeis(x): reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/classmethod.pyi] [case testTypeIsKwargFollowingThroughOverloaded] from typing import overload, Union from typing_extensions import TypeIs @overload def typeis(x: object, y: str) -> TypeIs[str]: ... @overload def typeis(x: object, y: int) -> TypeIs[int]: ... def typeis(x: object, y: Union[int, str]) -> Union[TypeIs[int], TypeIs[str]]: ... x: object if typeis(x=x, y=42): reveal_type(x) # N: Revealed type is "builtins.int" if typeis(y=42, x=x): reveal_type(x) # N: Revealed type is "builtins.int" if typeis(x=x, y="42"): reveal_type(x) # N: Revealed type is "builtins.str" if typeis(y="42", x=x): reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/tuple.pyi] [case testGenericAliasWithTypeIs] from typing import Callable, List, TypeVar from typing_extensions import TypeIs T = TypeVar('T') A = Callable[[object], TypeIs[List[T]]] def foo(x: object) -> TypeIs[List[str]]: ... def test(f: A[T]) -> T: ... reveal_type(test(foo)) # N: Revealed type is "builtins.str" [builtins fixtures/list.pyi] [case testNoCrashOnDunderCallTypeIs] from typing_extensions import TypeIs class A: def __call__(self, x) -> TypeIs[int]: return True a: A assert a(x=1) x: object assert a(x=x) reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testTypeIsMustBeSubtypeFunctions] from typing_extensions import TypeIs from typing import List, Sequence, TypeVar def f(x: str) -> TypeIs[int]: # E: Narrowed type "int" is not a subtype of input type "str" pass T = TypeVar('T') def g(x: List[T]) -> TypeIs[Sequence[T]]: # E: Narrowed type "Sequence[T]" is not a subtype of input type "list[T]" pass [builtins fixtures/tuple.pyi] [case testTypeIsMustBeSubtypeMethods] from typing_extensions import TypeIs class NarrowHolder: @classmethod def cls_narrower_good(cls, x: object) -> TypeIs[int]: pass @classmethod def cls_narrower_bad(cls, x: str) -> TypeIs[int]: # E: Narrowed type "int" is not a subtype of input type "str" pass @staticmethod def static_narrower_good(x: object) -> TypeIs[int]: pass @staticmethod def static_narrower_bad(x: str) -> TypeIs[int]: # E: Narrowed type "int" is not a subtype of input type "str" pass def inst_narrower_good(self, x: object) -> TypeIs[int]: pass def inst_narrower_bad(self, x: str) -> TypeIs[int]: # E: Narrowed type "int" is not a subtype of input type "str" pass [builtins fixtures/classmethod.pyi] [case testTypeIsTypeGuardNoSubtyping] from typing_extensions import TypeGuard, TypeIs from typing import Callable def accept_typeis(x: Callable[[object], TypeIs[str]]): pass def accept_typeguard(x: Callable[[object], TypeGuard[str]]): pass def typeis(x: object) -> TypeIs[str]: pass def typeguard(x: object) -> TypeGuard[str]: pass accept_typeis(typeis) accept_typeis(typeguard) # E: Argument 1 to "accept_typeis" has incompatible type "Callable[[object], TypeGuard[str]]"; expected "Callable[[object], TypeIs[str]]" accept_typeguard(typeis) # E: Argument 1 to "accept_typeguard" has incompatible type "Callable[[object], TypeIs[str]]"; expected "Callable[[object], TypeGuard[str]]" accept_typeguard(typeguard) [builtins fixtures/tuple.pyi] [case testTypeIsEnumOverlappingUnionExcludesIrrelevant] from enum import Enum from typing import Literal from typing_extensions import TypeIs class Model(str, Enum): A = 'a' B = 'a' def is_model_a(model: str) -> TypeIs[Literal[Model.A, "foo"]]: return True def handle(model: Model) -> None: if is_model_a(model): reveal_type(model) # N: Revealed type is "Literal[__main__.Model.A]" [builtins fixtures/tuple.pyi] [case testTypeIsAwaitableAny] from __future__ import annotations from typing import Any, Awaitable, Callable from typing_extensions import TypeIs def is_async_callable(obj: Any) -> TypeIs[Callable[..., Awaitable[Any]]]: ... def main(f: Callable[[], int | Awaitable[int]]) -> None: if is_async_callable(f): reveal_type(f) # N: Revealed type is "def (*Any, **Any) -> typing.Awaitable[Any]" else: reveal_type(f) # N: Revealed type is "def () -> Union[builtins.int, typing.Awaitable[builtins.int]]" [builtins fixtures/tuple.pyi] [case testTypeIsWithDefer] from typing import Union from typing_extensions import TypeIs class A: ... class B: ... def is_a(x: object) -> TypeIs[A]: return defer_not_defined() # E: Name "defer_not_defined" is not defined def main(x: Union[A, B]) -> None: if is_a(x): reveal_type(x) # N: Revealed type is "__main__.A" else: reveal_type(x) # N: Revealed type is "__main__.B" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-typevar-defaults.test0000644000175100017510000010663715112307767022414 0ustar00runnerrunner[case testTypeVarDefaultsBasic] from typing import Generic, TypeVar, ParamSpec, Callable, Tuple, List from typing_extensions import TypeVarTuple, Unpack T1 = TypeVar("T1", default=int) P1 = ParamSpec("P1", default=[int, str]) Ts1 = TypeVarTuple("Ts1", default=Unpack[Tuple[int, str]]) def f1(a: T1) -> List[T1]: ... reveal_type(f1) # N: Revealed type is "def [T1 = builtins.int] (a: T1`-1 = builtins.int) -> builtins.list[T1`-1 = builtins.int]" def f2(a: Callable[P1, None]) -> Callable[P1, None]: ... reveal_type(f2) # N: Revealed type is "def [P1 = [builtins.int, builtins.str]] (a: def (*P1.args, **P1.kwargs)) -> def (*P1.args, **P1.kwargs)" def f3(a: Tuple[Unpack[Ts1]]) -> Tuple[Unpack[Ts1]]: ... reveal_type(f3) # N: Revealed type is "def [Ts1 = Unpack[tuple[builtins.int, builtins.str]]] (a: tuple[Unpack[Ts1`-1 = Unpack[tuple[builtins.int, builtins.str]]]]) -> tuple[Unpack[Ts1`-1 = Unpack[tuple[builtins.int, builtins.str]]]]" class ClassA1(Generic[T1]): ... class ClassA2(Generic[P1]): ... class ClassA3(Generic[Unpack[Ts1]]): ... reveal_type(ClassA1) # N: Revealed type is "def [T1 = builtins.int] () -> __main__.ClassA1[T1`1 = builtins.int]" reveal_type(ClassA2) # N: Revealed type is "def [P1 = [builtins.int, builtins.str]] () -> __main__.ClassA2[P1`1 = [builtins.int, builtins.str]]" reveal_type(ClassA3) # N: Revealed type is "def [Ts1 = Unpack[tuple[builtins.int, builtins.str]]] () -> __main__.ClassA3[Unpack[Ts1`1 = Unpack[tuple[builtins.int, builtins.str]]]]" [builtins fixtures/tuple.pyi] [case testTypeVarDefaultsValid] from typing import TypeVar, ParamSpec, Any, List, Tuple from typing_extensions import TypeVarTuple, Unpack S0 = TypeVar("S0") S1 = TypeVar("S1", bound=int) P0 = ParamSpec("P0") Ts0 = TypeVarTuple("Ts0") T1 = TypeVar("T1", default=int) T2 = TypeVar("T2", bound=float, default=int) T3 = TypeVar("T3", bound=List[Any], default=List[int]) T4 = TypeVar("T4", int, str, default=int) T5 = TypeVar("T5", default=S0) T6 = TypeVar("T6", bound=float, default=S1) # T7 = TypeVar("T7", bound=List[Any], default=List[S0]) # TODO P1 = ParamSpec("P1", default=[]) P2 = ParamSpec("P2", default=...) P3 = ParamSpec("P3", default=[int, str]) P4 = ParamSpec("P4", default=P0) Ts1 = TypeVarTuple("Ts1", default=Unpack[Tuple[int]]) Ts2 = TypeVarTuple("Ts2", default=Unpack[Tuple[int, ...]]) # Ts3 = TypeVarTuple("Ts3", default=Unpack[Ts0]) # TODO [builtins fixtures/tuple.pyi] [case testTypeVarDefaultsInvalid] from typing import TypeVar, ParamSpec, Tuple from typing_extensions import TypeVarTuple, Unpack T1 = TypeVar("T1", default=2) # E: TypeVar "default" must be a type T2 = TypeVar("T2", default=[int]) # E: Bracketed expression "[...]" is not valid as a type \ # N: Did you mean "List[...]"? \ # E: TypeVar "default" must be a type P1 = ParamSpec("P1", default=int) # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec P2 = ParamSpec("P2", default=2) # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec P3 = ParamSpec("P3", default=(2, int)) # E: The default argument to ParamSpec must be a list expression, ellipsis, or a ParamSpec P4 = ParamSpec("P4", default=[2, int]) # E: Argument 0 of ParamSpec default must be a type Ts1 = TypeVarTuple("Ts1", default=2) # E: The default argument to TypeVarTuple must be an Unpacked tuple Ts2 = TypeVarTuple("Ts2", default=int) # E: The default argument to TypeVarTuple must be an Unpacked tuple Ts3 = TypeVarTuple("Ts3", default=Tuple[int]) # E: The default argument to TypeVarTuple must be an Unpacked tuple [builtins fixtures/tuple.pyi] [case testTypeVarDefaultsInvalid2] from typing import TypeVar, List, Union T1 = TypeVar("T1", bound=str, default=int) # E: TypeVar default must be a subtype of the bound type T2 = TypeVar("T2", bound=List[str], default=List[int]) # E: TypeVar default must be a subtype of the bound type T3 = TypeVar("T3", int, str, default=bytes) # E: TypeVar default must be one of the constraint types T4 = TypeVar("T4", int, str, default=Union[int, str]) # E: TypeVar default must be one of the constraint types T5 = TypeVar("T5", float, str, default=int) # E: TypeVar default must be one of the constraint types [case testTypeVarDefaultsInvalid3] from typing import Dict, Generic, TypeVar T1 = TypeVar("T1") T2 = TypeVar("T2", default=T3) # E: Name "T3" is used before definition T3 = TypeVar("T3", default=str) T4 = TypeVar("T4", default=T3) class ClassError1(Generic[T3, T1]): ... # E: "T1" cannot appear after "T3" in type parameter list because it has no default type def func_error1( a: ClassError1, b: ClassError1[int], c: ClassError1[int, float], ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassError1[builtins.str, Any]" reveal_type(b) # N: Revealed type is "__main__.ClassError1[builtins.int, Any]" reveal_type(c) # N: Revealed type is "__main__.ClassError1[builtins.int, builtins.float]" k = ClassError1() reveal_type(k) # N: Revealed type is "__main__.ClassError1[builtins.str, Any]" l = ClassError1[int]() reveal_type(l) # N: Revealed type is "__main__.ClassError1[builtins.int, Any]" m = ClassError1[int, float]() reveal_type(m) # N: Revealed type is "__main__.ClassError1[builtins.int, builtins.float]" class ClassError2(Generic[T4, T3]): ... # E: Type parameter "T4" has a default type that refers to one or more type variables that are out of scope def func_error2( a: ClassError2, b: ClassError2[int], c: ClassError2[int, float], ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassError2[Any, builtins.str]" reveal_type(b) # N: Revealed type is "__main__.ClassError2[builtins.int, builtins.str]" reveal_type(c) # N: Revealed type is "__main__.ClassError2[builtins.int, builtins.float]" k = ClassError2() reveal_type(k) # N: Revealed type is "__main__.ClassError2[Any, builtins.str]" l = ClassError2[int]() reveal_type(l) # N: Revealed type is "__main__.ClassError2[builtins.int, builtins.str]" m = ClassError2[int, float]() reveal_type(m) # N: Revealed type is "__main__.ClassError2[builtins.int, builtins.float]" TERR1 = Dict[T3, T1] # E: "T1" cannot appear after "T3" in type parameter list because it has no default type def func_error_alias1( a: TERR1, b: TERR1[int], c: TERR1[int, float], ) -> None: reveal_type(a) # N: Revealed type is "builtins.dict[builtins.str, Any]" reveal_type(b) # N: Revealed type is "builtins.dict[builtins.int, Any]" reveal_type(c) # N: Revealed type is "builtins.dict[builtins.int, builtins.float]" TERR2 = Dict[T4, T3] # TODO should be an error \ # Type parameter "T4" has a default type that refers to one or more type variables that are out of scope def func_error_alias2( a: TERR2, b: TERR2[int], c: TERR2[int, float], ) -> None: reveal_type(a) # N: Revealed type is "builtins.dict[Any, builtins.str]" reveal_type(b) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" reveal_type(c) # N: Revealed type is "builtins.dict[builtins.int, builtins.float]" [builtins fixtures/dict.pyi] [case testTypeVarDefaultsFunctions] from typing import TypeVar, ParamSpec, List, Union, Callable, Tuple from typing_extensions import TypeVarTuple, Unpack T1 = TypeVar("T1", default=str) T2 = TypeVar("T2", bound=str, default=str) T3 = TypeVar("T3", bytes, str, default=str) P1 = ParamSpec("P1", default=[int, str]) Ts1 = TypeVarTuple("Ts1", default=Unpack[Tuple[int, str]]) def callback1(x: str) -> None: ... def func_a1(x: Union[int, T1]) -> T1: ... reveal_type(func_a1(2)) # N: Revealed type is "builtins.str" reveal_type(func_a1(2.1)) # N: Revealed type is "builtins.float" def func_a2(x: Union[int, T1]) -> List[T1]: ... reveal_type(func_a2(2)) # N: Revealed type is "builtins.list[builtins.str]" reveal_type(func_a2(2.1)) # N: Revealed type is "builtins.list[builtins.float]" def func_a3(x: Union[int, T2]) -> T2: ... reveal_type(func_a3(2)) # N: Revealed type is "builtins.str" def func_a4(x: Union[int, T3]) -> T3: ... reveal_type(func_a4(2)) # N: Revealed type is "builtins.str" def func_b1(x: Union[int, Callable[P1, None]]) -> Callable[P1, None]: ... reveal_type(func_b1(callback1)) # N: Revealed type is "def (x: builtins.str)" reveal_type(func_b1(2)) # N: Revealed type is "def (builtins.int, builtins.str)" def func_c1(x: Union[int, Callable[[Unpack[Ts1]], None]]) -> Tuple[Unpack[Ts1]]: ... # reveal_type(func_c1(callback1)) # Revealed type is "Tuple[str]" # TODO reveal_type(func_c1(2)) # N: Revealed type is "tuple[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeVarDefaultsClass1] # flags: --disallow-any-generics from typing import Generic, TypeVar, Union, overload T1 = TypeVar("T1") T2 = TypeVar("T2", default=int) T3 = TypeVar("T3", default=str) T4 = TypeVar("T4", default=Union[int, None]) class ClassA1(Generic[T2, T3]): ... def func_a1( a: ClassA1, b: ClassA1[float], c: ClassA1[float, float], d: ClassA1[float, float, float], # E: "ClassA1" expects between 0 and 2 type arguments, but 3 given ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassA1[builtins.int, builtins.str]" reveal_type(b) # N: Revealed type is "__main__.ClassA1[builtins.float, builtins.str]" reveal_type(c) # N: Revealed type is "__main__.ClassA1[builtins.float, builtins.float]" reveal_type(d) # N: Revealed type is "__main__.ClassA1[builtins.int, builtins.str]" k = ClassA1() reveal_type(k) # N: Revealed type is "__main__.ClassA1[builtins.int, builtins.str]" l = ClassA1[float]() reveal_type(l) # N: Revealed type is "__main__.ClassA1[builtins.float, builtins.str]" m = ClassA1[float, float]() reveal_type(m) # N: Revealed type is "__main__.ClassA1[builtins.float, builtins.float]" n = ClassA1[float, float, float]() # E: Type application has too many types (expected between 0 and 2) reveal_type(n) # N: Revealed type is "Any" class ClassA2(Generic[T1, T2, T3]): ... def func_a2( a: ClassA2, # E: Missing type parameters for generic type "ClassA2" b: ClassA2[float], c: ClassA2[float, float], d: ClassA2[float, float, float], e: ClassA2[float, float, float, float], # E: "ClassA2" expects between 1 and 3 type arguments, but 4 given ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassA2[Any, builtins.int, builtins.str]" reveal_type(b) # N: Revealed type is "__main__.ClassA2[builtins.float, builtins.int, builtins.str]" reveal_type(c) # N: Revealed type is "__main__.ClassA2[builtins.float, builtins.float, builtins.str]" reveal_type(d) # N: Revealed type is "__main__.ClassA2[builtins.float, builtins.float, builtins.float]" reveal_type(e) # N: Revealed type is "__main__.ClassA2[Any, builtins.int, builtins.str]" k = ClassA2() # E: Need type annotation for "k" reveal_type(k) # N: Revealed type is "__main__.ClassA2[Any, builtins.int, builtins.str]" l = ClassA2[float]() reveal_type(l) # N: Revealed type is "__main__.ClassA2[builtins.float, builtins.int, builtins.str]" m = ClassA2[float, float]() reveal_type(m) # N: Revealed type is "__main__.ClassA2[builtins.float, builtins.float, builtins.str]" n = ClassA2[float, float, float]() reveal_type(n) # N: Revealed type is "__main__.ClassA2[builtins.float, builtins.float, builtins.float]" o = ClassA2[float, float, float, float]() # E: Type application has too many types (expected between 1 and 3) reveal_type(o) # N: Revealed type is "Any" class ClassA3(Generic[T1, T2]): @overload def __init__(self) -> None: ... @overload def __init__(self, var: int) -> None: ... def __init__(self, var: Union[int, None] = None) -> None: ... def func_a3( a: ClassA3, # E: Missing type parameters for generic type "ClassA3" b: ClassA3[float], c: ClassA3[float, float], d: ClassA3[float, float, float], # E: "ClassA3" expects between 1 and 2 type arguments, but 3 given ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassA3[Any, builtins.int]" reveal_type(b) # N: Revealed type is "__main__.ClassA3[builtins.float, builtins.int]" reveal_type(c) # N: Revealed type is "__main__.ClassA3[builtins.float, builtins.float]" reveal_type(d) # N: Revealed type is "__main__.ClassA3[Any, builtins.int]" k = ClassA3() # E: Need type annotation for "k" reveal_type(k) # N: Revealed type is "__main__.ClassA3[Any, builtins.int]" l = ClassA3[float]() reveal_type(l) # N: Revealed type is "__main__.ClassA3[builtins.float, builtins.int]" m = ClassA3[float, float]() reveal_type(m) # N: Revealed type is "__main__.ClassA3[builtins.float, builtins.float]" n = ClassA3[float, float, float]() # E: Type application has too many types (expected between 1 and 2) reveal_type(n) # N: Revealed type is "Any" class ClassA4(Generic[T4]): ... def func_a4( a: ClassA4, b: ClassA4[float], ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassA4[Union[builtins.int, None]]" reveal_type(b) # N: Revealed type is "__main__.ClassA4[builtins.float]" k = ClassA4() reveal_type(k) # N: Revealed type is "__main__.ClassA4[Union[builtins.int, None]]" l = ClassA4[float]() reveal_type(l) # N: Revealed type is "__main__.ClassA4[builtins.float]" [case testTypeVarDefaultsClass2] # flags: --disallow-any-generics from typing import Generic, ParamSpec P1 = ParamSpec("P1") P2 = ParamSpec("P2", default=[int, str]) P3 = ParamSpec("P3", default=...) class ClassB1(Generic[P2, P3]): ... def func_b1( a: ClassB1, b: ClassB1[[float]], c: ClassB1[[float], [float]], d: ClassB1[[float], [float], [float]], # E: "ClassB1" expects between 0 and 2 type arguments, but 3 given ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], ...]" reveal_type(b) # N: Revealed type is "__main__.ClassB1[[builtins.float], ...]" reveal_type(c) # N: Revealed type is "__main__.ClassB1[[builtins.float], [builtins.float]]" reveal_type(d) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], ...]" k = ClassB1() reveal_type(k) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], [*Any, **Any]]" l = ClassB1[[float]]() reveal_type(l) # N: Revealed type is "__main__.ClassB1[[builtins.float], [*Any, **Any]]" m = ClassB1[[float], [float]]() reveal_type(m) # N: Revealed type is "__main__.ClassB1[[builtins.float], [builtins.float]]" n = ClassB1[[float], [float], [float]]() # E: Type application has too many types (expected between 0 and 2) reveal_type(n) # N: Revealed type is "Any" class ClassB2(Generic[P1, P2]): ... def func_b2( a: ClassB2, # E: Missing type parameters for generic type "ClassB2" b: ClassB2[[float]], c: ClassB2[[float], [float]], d: ClassB2[[float], [float], [float]], # E: "ClassB2" expects between 1 and 2 type arguments, but 3 given ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassB2[Any, [builtins.int, builtins.str]]" reveal_type(b) # N: Revealed type is "__main__.ClassB2[[builtins.float], [builtins.int, builtins.str]]" reveal_type(c) # N: Revealed type is "__main__.ClassB2[[builtins.float], [builtins.float]]" reveal_type(d) # N: Revealed type is "__main__.ClassB2[Any, [builtins.int, builtins.str]]" k = ClassB2() # E: Need type annotation for "k" reveal_type(k) # N: Revealed type is "__main__.ClassB2[Any, [builtins.int, builtins.str]]" l = ClassB2[[float]]() reveal_type(l) # N: Revealed type is "__main__.ClassB2[[builtins.float], [builtins.int, builtins.str]]" m = ClassB2[[float], [float]]() reveal_type(m) # N: Revealed type is "__main__.ClassB2[[builtins.float], [builtins.float]]" n = ClassB2[[float], [float], [float]]() # E: Type application has too many types (expected between 1 and 2) reveal_type(n) # N: Revealed type is "Any" [case testTypeVarDefaultsClass3] # flags: --disallow-any-generics from typing import Generic, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack T1 = TypeVar("T1") T3 = TypeVar("T3", default=str) Ts1 = TypeVarTuple("Ts1") Ts2 = TypeVarTuple("Ts2", default=Unpack[Tuple[int, str]]) Ts3 = TypeVarTuple("Ts3", default=Unpack[Tuple[float, ...]]) Ts4 = TypeVarTuple("Ts4", default=Unpack[Tuple[()]]) class ClassC1(Generic[Unpack[Ts2]]): ... def func_c1( a: ClassC1, b: ClassC1[float], ) -> None: # reveal_type(a) # Revealed type is "__main__.ClassC1[builtins.int, builtins.str]" # TODO reveal_type(b) # N: Revealed type is "__main__.ClassC1[builtins.float]" k = ClassC1() reveal_type(k) # N: Revealed type is "__main__.ClassC1[builtins.int, builtins.str]" l = ClassC1[float]() reveal_type(l) # N: Revealed type is "__main__.ClassC1[builtins.float]" class ClassC2(Generic[T3, Unpack[Ts3]]): ... def func_c2( a: ClassC2, b: ClassC2[int], c: ClassC2[int, Unpack[Tuple[()]]], ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassC2[builtins.str, Unpack[builtins.tuple[builtins.float, ...]]]" # reveal_type(b) # Revealed type is "__main__.ClassC2[builtins.int, Unpack[builtins.tuple[builtins.float, ...]]]" # TODO reveal_type(c) # N: Revealed type is "__main__.ClassC2[builtins.int]" k = ClassC2() reveal_type(k) # N: Revealed type is "__main__.ClassC2[builtins.str, Unpack[builtins.tuple[builtins.float, ...]]]" l = ClassC2[int]() # reveal_type(l) # Revealed type is "__main__.ClassC2[builtins.int, Unpack[builtins.tuple[builtins.float, ...]]]" # TODO m = ClassC2[int, Unpack[Tuple[()]]]() reveal_type(m) # N: Revealed type is "__main__.ClassC2[builtins.int]" class ClassC3(Generic[T3, Unpack[Ts4]]): ... def func_c3( a: ClassC3, b: ClassC3[int], c: ClassC3[int, Unpack[Tuple[float]]] ) -> None: # reveal_type(a) # Revealed type is "__main__.ClassC3[builtins.str]" # TODO reveal_type(b) # N: Revealed type is "__main__.ClassC3[builtins.int]" reveal_type(c) # N: Revealed type is "__main__.ClassC3[builtins.int, builtins.float]" k = ClassC3() reveal_type(k) # N: Revealed type is "__main__.ClassC3[builtins.str]" l = ClassC3[int]() reveal_type(l) # N: Revealed type is "__main__.ClassC3[builtins.int]" m = ClassC3[int, Unpack[Tuple[float]]]() reveal_type(m) # N: Revealed type is "__main__.ClassC3[builtins.int, builtins.float]" class ClassC4(Generic[T1, Unpack[Ts1], T3]): ... def func_c4( a: ClassC4, # E: Missing type parameters for generic type "ClassC4" b: ClassC4[int], c: ClassC4[int, float], ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassC4[Any, Unpack[builtins.tuple[Any, ...]], builtins.str]" # reveal_type(b) # Revealed type is "__main__.ClassC4[builtins.int, builtins.str]" # TODO reveal_type(c) # N: Revealed type is "__main__.ClassC4[builtins.int, builtins.float]" k = ClassC4() # E: Need type annotation for "k" reveal_type(k) # N: Revealed type is "__main__.ClassC4[Any, Unpack[builtins.tuple[Any, ...]], builtins.str]" l = ClassC4[int]() # reveal_type(l) # Revealed type is "__main__.ClassC4[builtins.int, builtins.str]" # TODO m = ClassC4[int, float]() reveal_type(m) # N: Revealed type is "__main__.ClassC4[builtins.int, builtins.float]" [builtins fixtures/tuple.pyi] [case testTypeVarDefaultsSwap] from typing import TypeVar, Generic T = TypeVar("T") X = TypeVar("X", default=object) Y = TypeVar("Y", default=object) class Foo(Generic[T, Y]): def test(self) -> None: reveal_type( Foo[Y, T]() ) # N: Revealed type is "__main__.Foo[Y`2 = builtins.object, T`1]" class Bar(Generic[X, Y]): def test(self) -> None: reveal_type( Bar[Y, X]() ) # N: Revealed type is "__main__.Bar[Y`2 = builtins.object, X`1 = builtins.object]" [case testTypeVarDefaultsSwap2] from typing import TypeVar, Generic X = TypeVar("X", default=object) Y = TypeVar("Y", default=object) U = TypeVar("U", default=object) V = TypeVar("V", default=object) class Transform(Generic[X, Y]): def invert(self) -> "Transform[Y, X]": ... class Foo(Transform[U, V], Generic[U, V]): def invert(self) -> "Foo[V, U]": ... [case testTypeVarDefaultsClassRecursive1] # flags: --disallow-any-generics from typing import Generic, TypeVar, List T1 = TypeVar("T1", default=str) T2 = TypeVar("T2", default=T1) T3 = TypeVar("T3", default=T2) T4 = TypeVar("T4", default=List[T1]) class ClassD1(Generic[T1, T2]): ... def func_d1( a: ClassD1, b: ClassD1[int], c: ClassD1[int, float] ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassD1[builtins.str, builtins.str]" reveal_type(b) # N: Revealed type is "__main__.ClassD1[builtins.int, builtins.int]" reveal_type(c) # N: Revealed type is "__main__.ClassD1[builtins.int, builtins.float]" k = ClassD1() reveal_type(k) # N: Revealed type is "__main__.ClassD1[builtins.str, builtins.str]" l = ClassD1[int]() reveal_type(l) # N: Revealed type is "__main__.ClassD1[builtins.int, builtins.int]" m = ClassD1[int, float]() reveal_type(m) # N: Revealed type is "__main__.ClassD1[builtins.int, builtins.float]" class ClassD2(Generic[T1, T2, T3]): ... def func_d2( a: ClassD2, b: ClassD2[int], c: ClassD2[int, float], d: ClassD2[int, float, str], ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassD2[builtins.str, builtins.str, builtins.str]" reveal_type(b) # N: Revealed type is "__main__.ClassD2[builtins.int, builtins.int, builtins.int]" reveal_type(c) # N: Revealed type is "__main__.ClassD2[builtins.int, builtins.float, builtins.float]" reveal_type(d) # N: Revealed type is "__main__.ClassD2[builtins.int, builtins.float, builtins.str]" k = ClassD2() reveal_type(k) # N: Revealed type is "__main__.ClassD2[builtins.str, builtins.str, builtins.str]" l = ClassD2[int]() reveal_type(l) # N: Revealed type is "__main__.ClassD2[builtins.int, builtins.int, builtins.int]" m = ClassD2[int, float]() reveal_type(m) # N: Revealed type is "__main__.ClassD2[builtins.int, builtins.float, builtins.float]" n = ClassD2[int, float, str]() reveal_type(n) # N: Revealed type is "__main__.ClassD2[builtins.int, builtins.float, builtins.str]" class ClassD3(Generic[T1, T4]): ... def func_d3( a: ClassD3, b: ClassD3[int], c: ClassD3[int, float], ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassD3[builtins.str, builtins.list[builtins.str]]" reveal_type(b) # N: Revealed type is "__main__.ClassD3[builtins.int, builtins.list[builtins.int]]" reveal_type(c) # N: Revealed type is "__main__.ClassD3[builtins.int, builtins.float]" # k = ClassD3() # reveal_type(k) # Revealed type is "__main__.ClassD3[builtins.str, builtins.list[builtins.str]]" # TODO l = ClassD3[int]() reveal_type(l) # N: Revealed type is "__main__.ClassD3[builtins.int, builtins.list[builtins.int]]" m = ClassD3[int, float]() reveal_type(m) # N: Revealed type is "__main__.ClassD3[builtins.int, builtins.float]" [case testTypeVarDefaultsClassRecursiveMultipleFiles] # flags: --disallow-any-generics from typing import Generic, TypeVar from file2 import T as T2 T = TypeVar("T", default=T2) class ClassG1(Generic[T2, T]): pass def func( a: ClassG1, b: ClassG1[str], c: ClassG1[str, float], ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassG1[builtins.int, builtins.int]" reveal_type(b) # N: Revealed type is "__main__.ClassG1[builtins.str, builtins.str]" reveal_type(c) # N: Revealed type is "__main__.ClassG1[builtins.str, builtins.float]" k = ClassG1() reveal_type(k) # N: Revealed type is "__main__.ClassG1[builtins.int, builtins.int]" l = ClassG1[str]() reveal_type(l) # N: Revealed type is "__main__.ClassG1[builtins.str, builtins.str]" m = ClassG1[str, float]() reveal_type(m) # N: Revealed type is "__main__.ClassG1[builtins.str, builtins.float]" [file file2.py] from typing import TypeVar T = TypeVar('T', default=int) [case testTypeVarDefaultsTypeAlias1] # flags: --disallow-any-generics from typing import Any, Dict, List, Tuple, TypeVar, Union T1 = TypeVar("T1") T2 = TypeVar("T2", default=int) T3 = TypeVar("T3", default=str) T4 = TypeVar("T4") TA1 = Dict[T2, T3] def func_a1( a: TA1, b: TA1[float], c: TA1[float, float], d: TA1[float, float, float], # E: Bad number of arguments for type alias, expected between 0 and 2, given 3 ) -> None: reveal_type(a) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" reveal_type(b) # N: Revealed type is "builtins.dict[builtins.float, builtins.str]" reveal_type(c) # N: Revealed type is "builtins.dict[builtins.float, builtins.float]" reveal_type(d) # N: Revealed type is "builtins.dict[builtins.int, builtins.str]" TA2 = Tuple[T1, T2, T3] def func_a2( a: TA2, # E: Missing type parameters for generic type "TA2" b: TA2[float], c: TA2[float, float], d: TA2[float, float, float], e: TA2[float, float, float, float], # E: Bad number of arguments for type alias, expected between 1 and 3, given 4 ) -> None: reveal_type(a) # N: Revealed type is "tuple[Any, builtins.int, builtins.str]" reveal_type(b) # N: Revealed type is "tuple[builtins.float, builtins.int, builtins.str]" reveal_type(c) # N: Revealed type is "tuple[builtins.float, builtins.float, builtins.str]" reveal_type(d) # N: Revealed type is "tuple[builtins.float, builtins.float, builtins.float]" reveal_type(e) # N: Revealed type is "tuple[Any, builtins.int, builtins.str]" TA3 = Union[Dict[T1, T2], List[T3]] def func_a3( a: TA3, # E: Missing type parameters for generic type "TA3" b: TA3[float], c: TA3[float, float], d: TA3[float, float, float], e: TA3[float, float, float, float], # E: Bad number of arguments for type alias, expected between 1 and 3, given 4 ) -> None: reveal_type(a) # N: Revealed type is "Union[builtins.dict[Any, builtins.int], builtins.list[builtins.str]]" reveal_type(b) # N: Revealed type is "Union[builtins.dict[builtins.float, builtins.int], builtins.list[builtins.str]]" reveal_type(c) # N: Revealed type is "Union[builtins.dict[builtins.float, builtins.float], builtins.list[builtins.str]]" reveal_type(d) # N: Revealed type is "Union[builtins.dict[builtins.float, builtins.float], builtins.list[builtins.float]]" reveal_type(e) # N: Revealed type is "Union[builtins.dict[Any, builtins.int], builtins.list[builtins.str]]" TA4 = Tuple[T1, T4, T2] def func_a4( a: TA4, # E: Missing type parameters for generic type "TA4" b: TA4[float], # E: Bad number of arguments for type alias, expected between 2 and 3, given 1 c: TA4[float, float], d: TA4[float, float, float], e: TA4[float, float, float, float], # E: Bad number of arguments for type alias, expected between 2 and 3, given 4 ) -> None: reveal_type(a) # N: Revealed type is "tuple[Any, Any, builtins.int]" reveal_type(b) # N: Revealed type is "tuple[Any, Any, builtins.int]" reveal_type(c) # N: Revealed type is "tuple[builtins.float, builtins.float, builtins.int]" reveal_type(d) # N: Revealed type is "tuple[builtins.float, builtins.float, builtins.float]" reveal_type(e) # N: Revealed type is "tuple[Any, Any, builtins.int]" [builtins fixtures/dict.pyi] [case testTypeVarDefaultsTypeAlias2] # flags: --disallow-any-generics from typing import Any, Generic, ParamSpec P1 = ParamSpec("P1") P2 = ParamSpec("P2", default=[int, str]) P3 = ParamSpec("P3", default=...) class ClassB1(Generic[P2, P3]): ... TB1 = ClassB1[P2, P3] def func_b1( a: TB1, b: TB1[[float]], c: TB1[[float], [float]], d: TB1[[float], [float], [float]], # E: Bad number of arguments for type alias, expected between 0 and 2, given 3 ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], [*Any, **Any]]" reveal_type(b) # N: Revealed type is "__main__.ClassB1[[builtins.float], [*Any, **Any]]" reveal_type(c) # N: Revealed type is "__main__.ClassB1[[builtins.float], [builtins.float]]" reveal_type(d) # N: Revealed type is "__main__.ClassB1[[builtins.int, builtins.str], [*Any, **Any]]" class ClassB2(Generic[P1, P2]): ... TB2 = ClassB2[P1, P2] def func_b2( a: TB2, # E: Missing type parameters for generic type "TB2" b: TB2[[float]], c: TB2[[float], [float]], d: TB2[[float], [float], [float]], # E: Bad number of arguments for type alias, expected between 1 and 2, given 3 ) -> None: reveal_type(a) # N: Revealed type is "__main__.ClassB2[Any, [builtins.int, builtins.str]]" reveal_type(b) # N: Revealed type is "__main__.ClassB2[[builtins.float], [builtins.int, builtins.str]]" reveal_type(c) # N: Revealed type is "__main__.ClassB2[[builtins.float], [builtins.float]]" reveal_type(d) # N: Revealed type is "__main__.ClassB2[Any, [builtins.int, builtins.str]]" [builtins fixtures/tuple.pyi] [case testTypeVarDefaultsTypeAlias3] # flags: --disallow-any-generics from typing import Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack T1 = TypeVar("T1") T3 = TypeVar("T3", default=str) Ts1 = TypeVarTuple("Ts1") Ts2 = TypeVarTuple("Ts2", default=Unpack[Tuple[int, str]]) Ts3 = TypeVarTuple("Ts3", default=Unpack[Tuple[float, ...]]) Ts4 = TypeVarTuple("Ts4", default=Unpack[Tuple[()]]) TC1 = Tuple[Unpack[Ts2]] def func_c1( a: TC1, b: TC1[float], ) -> None: # reveal_type(a) # Revealed type is "Tuple[builtins.int, builtins.str]" # TODO reveal_type(b) # N: Revealed type is "tuple[builtins.float]" TC2 = Tuple[T3, Unpack[Ts3]] def func_c2( a: TC2, b: TC2[int], c: TC2[int, Unpack[Tuple[()]]], ) -> None: # reveal_type(a) # Revealed type is "Tuple[builtins.str, Unpack[builtins.tuple[builtins.float, ...]]]" # TODO # reveal_type(b) # Revealed type is "Tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]]]" # TODO reveal_type(c) # N: Revealed type is "tuple[builtins.int]" TC3 = Tuple[T3, Unpack[Ts4]] def func_c3( a: TC3, b: TC3[int], c: TC3[int, Unpack[Tuple[float]]], ) -> None: # reveal_type(a) # Revealed type is "Tuple[builtins.str]" # TODO reveal_type(b) # N: Revealed type is "tuple[builtins.int]" reveal_type(c) # N: Revealed type is "tuple[builtins.int, builtins.float]" TC4 = Tuple[T1, Unpack[Ts1], T3] def func_c4( a: TC4, # E: Missing type parameters for generic type "TC4" b: TC4[int], c: TC4[int, float], ) -> None: reveal_type(a) # N: Revealed type is "tuple[Any, Unpack[builtins.tuple[Any, ...]], builtins.str]" # reveal_type(b) # Revealed type is "Tuple[builtins.int, builtins.str]" # TODO reveal_type(c) # N: Revealed type is "tuple[builtins.int, builtins.float]" [builtins fixtures/tuple.pyi] [case testTypeVarDefaultsTypeAliasRecursive1] # flags: --disallow-any-generics from typing import Dict, List, TypeVar T1 = TypeVar("T1") T2 = TypeVar("T2", default=T1) TD1 = Dict[T1, T2] def func_d1( a: TD1, # E: Missing type parameters for generic type "TD1" b: TD1[int], c: TD1[int, float], ) -> None: reveal_type(a) # N: Revealed type is "builtins.dict[Any, Any]" reveal_type(b) # N: Revealed type is "builtins.dict[builtins.int, builtins.int]" reveal_type(c) # N: Revealed type is "builtins.dict[builtins.int, builtins.float]" [builtins fixtures/dict.pyi] [case testTypeVarDefaultsTypeAliasRecursive2] from typing import Any, Dict, Generic, TypeVar T1 = TypeVar("T1", default=str) T2 = TypeVar("T2", default=T1) Alias1 = Dict[T1, T2] T3 = TypeVar("T3") class A(Generic[T3]): ... T4 = TypeVar("T4", default=A[Alias1]) class B(Generic[T4]): ... def func_d3( a: B, b: B[A[Alias1[int]]], c: B[A[Alias1[int, float]]], d: B[int], ) -> None: reveal_type(a) # N: Revealed type is "__main__.B[__main__.A[builtins.dict[builtins.str, builtins.str]]]" reveal_type(b) # N: Revealed type is "__main__.B[__main__.A[builtins.dict[builtins.int, builtins.int]]]" reveal_type(c) # N: Revealed type is "__main__.B[__main__.A[builtins.dict[builtins.int, builtins.float]]]" reveal_type(d) # N: Revealed type is "__main__.B[builtins.int]" [builtins fixtures/dict.pyi] [case testTypeVarDefaultsAndTypeObjectTypeInUnion] from __future__ import annotations from typing import Generic from typing_extensions import TypeVar _I = TypeVar("_I", default=int) class C(Generic[_I]): pass t: type[C] | int = C [builtins fixtures/tuple.pyi] [case testGenericTypeAliasWithDefaultTypeVarPreservesNoneInDefault] from typing_extensions import TypeVar from typing import Generic, Union T1 = TypeVar("T1", default=Union[int, None]) T2 = TypeVar("T2", default=Union[int, None]) class A(Generic[T1, T2]): def __init__(self, a: T1, b: T2) -> None: self.a = a self.b = b MyA = A[T1, int] a: MyA = A(None, 10) reveal_type(a.a) # N: Revealed type is "Union[builtins.int, None]" [builtins fixtures/tuple.pyi] [case testTypeVarConstraintsDefaultAliasesTypeAliasType] from typing import Generic from typing_extensions import TypeAliasType, TypeVar K = TypeAliasType("K", int) V = TypeAliasType("V", int) L = TypeAliasType("L", list[int]) T1 = TypeVar("T1", str, K, default=K) T2 = TypeVar("T2", str, K, default=V) T3 = TypeVar("T3", str, L, default=L) class A1(Generic[T1]): x: T1 class A2(Generic[T2]): x: T2 class A3(Generic[T3]): x: T3 reveal_type(A1().x) # N: Revealed type is "builtins.int" reveal_type(A2().x) # N: Revealed type is "builtins.int" reveal_type(A3().x) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeVarConstraintsDefaultAliasesImplicitAlias] from typing_extensions import TypeVar K = int V = int L = list[int] T1 = TypeVar("T1", str, K, default=K) T2 = TypeVar("T2", str, K, default=V) T3 = TypeVar("T3", str, L, default=L) [builtins fixtures/tuple.pyi] [case testTypeVarConstraintsDefaultAliasesExplicitAlias] from typing_extensions import TypeAlias, TypeVar K: TypeAlias = int V: TypeAlias = int L: TypeAlias = list[int] T1 = TypeVar("T1", str, K, default=K) T2 = TypeVar("T2", str, K, default=V) T3 = TypeVar("T3", str, L, default=L) [builtins fixtures/tuple.pyi] [case testTypeVarConstraintsDefaultSpecialTypes] from typing import Generic, NamedTuple from typing_extensions import TypedDict, TypeVar class TD(TypedDict): foo: str class NT(NamedTuple): foo: str T1 = TypeVar("T1", str, TD, default=TD) T2 = TypeVar("T2", str, NT, default=NT) class A1(Generic[T1]): x: T1 class A2(Generic[T2]): x: T2 reveal_type(A1().x) # N: Revealed type is "TypedDict('__main__.TD', {'foo': builtins.str})" reveal_type(A2().x) # N: Revealed type is "tuple[builtins.str, fallback=__main__.NT]" [builtins fixtures/tuple.pyi] [case testTypeVarConstraintsDefaultSpecialTypesGeneric] from typing import Generic, NamedTuple from typing_extensions import TypedDict, TypeVar T = TypeVar("T") class TD(TypedDict, Generic[T]): foo: T class TD2(TD[int]): pass class TD3(TD[int]): bar: str class NT(NamedTuple, Generic[T]): foo: T class NT2(NT[int]): pass T1 = TypeVar("T1", str, TD[int], default=TD[int]) T2 = TypeVar("T2", str, NT[int], default=NT[int]) T3 = TypeVar("T3", str, TD2, default=TD[int]) T4 = TypeVar("T4", str, TD3, default=TD[int]) # E: TypeVar default must be one of the constraint types T5 = TypeVar("T5", str, NT2, default=NT[int]) # E: TypeVar default must be one of the constraint types class A1(Generic[T1]): x: T1 class A2(Generic[T2]): x: T2 class A3(Generic[T3]): x: T3 reveal_type(A1().x) # N: Revealed type is "TypedDict('__main__.TD', {'foo': builtins.int})" reveal_type(A2().x) # N: Revealed type is "tuple[builtins.int, fallback=__main__.NT[builtins.int]]" reveal_type(A3().x) # N: Revealed type is "TypedDict('__main__.TD', {'foo': builtins.int})" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-typevar-tuple.test0000644000175100017510000030230515112307767021724 0ustar00runnerrunner[case testTypeVarTupleBasic] from typing import Any, Tuple from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") def f(a: Tuple[Unpack[Ts]]) -> Tuple[Unpack[Ts]]: return a any: Any args: Tuple[int, str] = (1, 'x') args2: Tuple[bool, str] = (False, 'y') args3: Tuple[int, str, bool] = (2, 'z', True) varargs: Tuple[int, ...] = (1, 2, 3) reveal_type(f(args)) # N: Revealed type is "tuple[builtins.int, builtins.str]" reveal_type(f(varargs)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" f(0) # E: Argument 1 to "f" has incompatible type "int"; expected "tuple[Never, ...]" def g(a: Tuple[Unpack[Ts]], b: Tuple[Unpack[Ts]]) -> Tuple[Unpack[Ts]]: return a reveal_type(g(args, args)) # N: Revealed type is "tuple[builtins.int, builtins.str]" reveal_type(g(args, args2)) # N: Revealed type is "tuple[builtins.int, builtins.str]" reveal_type(g(args, args3)) # N: Revealed type is "builtins.tuple[Union[builtins.int, builtins.str], ...]" reveal_type(g(any, any)) # N: Revealed type is "builtins.tuple[Any, ...]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleMixed] from typing import Tuple from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") def to_str(i: int) -> str: ... def f(a: Tuple[int, Unpack[Ts]]) -> Tuple[str, Unpack[Ts]]: return (to_str(a[0]),) + a[1:] def g(a: Tuple[Unpack[Ts], int]) -> Tuple[Unpack[Ts], str]: return a[:-1] + (to_str(a[-1]),) def h(a: Tuple[bool, int, Unpack[Ts], str, object]) -> Tuple[Unpack[Ts]]: return a[2:-2] empty = () bad_args: Tuple[str, str] var_len_tuple: Tuple[int, ...] f_args: Tuple[int, str] f_args2: Tuple[int] f_args3: Tuple[int, str, bool] reveal_type(f(f_args)) # N: Revealed type is "tuple[builtins.str, builtins.str]" reveal_type(f(f_args2)) # N: Revealed type is "tuple[builtins.str]" reveal_type(f(f_args3)) # N: Revealed type is "tuple[builtins.str, builtins.str, builtins.bool]" f(empty) # E: Argument 1 to "f" has incompatible type "tuple[()]"; expected "tuple[int]" f(bad_args) # E: Argument 1 to "f" has incompatible type "tuple[str, str]"; expected "tuple[int, str]" # The reason for error in subtle: actual can be empty, formal cannot. reveal_type(f(var_len_tuple)) # N: Revealed type is "tuple[builtins.str, Unpack[builtins.tuple[builtins.int, ...]]]" \ # E: Argument 1 to "f" has incompatible type "tuple[int, ...]"; expected "tuple[int, Unpack[tuple[int, ...]]]" g_args: Tuple[str, int] reveal_type(g(g_args)) # N: Revealed type is "tuple[builtins.str, builtins.str]" h_args: Tuple[bool, int, str, int, str, object] reveal_type(h(h_args)) # N: Revealed type is "tuple[builtins.str, builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleChaining] from typing import Tuple from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") def to_str(i: int) -> str: ... def f(a: Tuple[int, Unpack[Ts]]) -> Tuple[str, Unpack[Ts]]: return (to_str(a[0]),) + a[1:] def g(a: Tuple[bool, int, Unpack[Ts], str, object]) -> Tuple[str, Unpack[Ts]]: return f(a[1:-2]) def h(a: Tuple[bool, int, Unpack[Ts], str, object]) -> Tuple[str, Unpack[Ts]]: x = f(a[1:-2]) return x args: Tuple[bool, int, str, int, str, object] reveal_type(g(args)) # N: Revealed type is "tuple[builtins.str, builtins.str, builtins.int]" reveal_type(h(args)) # N: Revealed type is "tuple[builtins.str, builtins.str, builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleGenericClassDefn] from typing import Generic, TypeVar, Tuple, Union from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") Ts = TypeVarTuple("Ts") class Variadic(Generic[Unpack[Ts]]): pass class Mixed1(Generic[T, Unpack[Ts]]): pass class Mixed2(Generic[Unpack[Ts], T]): pass variadic: Variadic[int, str] reveal_type(variadic) # N: Revealed type is "__main__.Variadic[builtins.int, builtins.str]" variadic_single: Variadic[int] reveal_type(variadic_single) # N: Revealed type is "__main__.Variadic[builtins.int]" empty: Variadic[()] reveal_type(empty) # N: Revealed type is "__main__.Variadic[()]" omitted: Variadic reveal_type(omitted) # N: Revealed type is "__main__.Variadic[Unpack[builtins.tuple[Any, ...]]]" bad: Variadic[Unpack[Tuple[int, ...]], str, Unpack[Tuple[bool, ...]]] # E: More than one variadic Unpack in a type is not allowed reveal_type(bad) # N: Revealed type is "__main__.Variadic[Unpack[builtins.tuple[builtins.int, ...]], builtins.str]" bad2: Unpack[Tuple[int, ...]] # E: Unpack is only valid in a variadic position m1: Mixed1[int, str, bool] reveal_type(m1) # N: Revealed type is "__main__.Mixed1[builtins.int, builtins.str, builtins.bool]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleGenericClassWithFunctions] from typing import Generic, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") T = TypeVar("T") S = TypeVar("S") class Variadic(Generic[T, Unpack[Ts], S]): pass def foo(t: Variadic[int, Unpack[Ts], object]) -> Tuple[int, Unpack[Ts]]: ... v: Variadic[int, str, bool, object] reveal_type(foo(v)) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.bool]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleGenericClassWithMethods] from typing import Generic, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") T = TypeVar("T") S = TypeVar("S") class Variadic(Generic[T, Unpack[Ts], S]): def __init__(self, t: Tuple[Unpack[Ts]]) -> None: ... def foo(self, t: int) -> Tuple[int, Unpack[Ts]]: ... v: Variadic[float, str, bool, object] reveal_type(v.foo(0)) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.bool]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleIsNotValidAliasTarget] from typing_extensions import TypeVarTuple Ts = TypeVarTuple("Ts") B = Ts # E: Type variable "__main__.Ts" is invalid as target for type alias [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646ArrayExample] from typing import Generic, Tuple, TypeVar, Protocol, NewType from typing_extensions import TypeVarTuple, Unpack Shape = TypeVarTuple('Shape') Height = NewType('Height', int) Width = NewType('Width', int) T_co = TypeVar("T_co", covariant=True) T = TypeVar("T") class SupportsAbs(Protocol[T_co]): def __abs__(self) -> T_co: pass def abs(a: SupportsAbs[T]) -> T: ... class Array(Generic[Unpack[Shape]]): def __init__(self, shape: Tuple[Unpack[Shape]]): self._shape: Tuple[Unpack[Shape]] = shape def get_shape(self) -> Tuple[Unpack[Shape]]: return self._shape def __abs__(self) -> Array[Unpack[Shape]]: ... def __add__(self, other: Array[Unpack[Shape]]) -> Array[Unpack[Shape]]: ... shape = (Height(480), Width(640)) x: Array[Height, Width] = Array(shape) reveal_type(abs(x)) # N: Revealed type is "__main__.Array[__main__.Height, __main__.Width]" reveal_type(x + x) # N: Revealed type is "__main__.Array[__main__.Height, __main__.Width]" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646ArrayExampleWithDType] from typing import Generic, Tuple, TypeVar, Protocol, NewType from typing_extensions import TypeVarTuple, Unpack DType = TypeVar("DType") Shape = TypeVarTuple('Shape') Height = NewType('Height', int) Width = NewType('Width', int) T_co = TypeVar("T_co", covariant=True) T = TypeVar("T") class SupportsAbs(Protocol[T_co]): def __abs__(self) -> T_co: pass def abs(a: SupportsAbs[T]) -> T: ... class Array(Generic[DType, Unpack[Shape]]): def __init__(self, shape: Tuple[Unpack[Shape]]): self._shape: Tuple[Unpack[Shape]] = shape def get_shape(self) -> Tuple[Unpack[Shape]]: return self._shape def __abs__(self) -> Array[DType, Unpack[Shape]]: ... def __add__(self, other: Array[DType, Unpack[Shape]]) -> Array[DType, Unpack[Shape]]: ... shape = (Height(480), Width(640)) x: Array[float, Height, Width] = Array(shape) reveal_type(abs(x)) # N: Revealed type is "__main__.Array[builtins.float, __main__.Height, __main__.Width]" reveal_type(x + x) # N: Revealed type is "__main__.Array[builtins.float, __main__.Height, __main__.Width]" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646ArrayExampleInfer] from typing import Generic, Tuple, TypeVar, NewType from typing_extensions import TypeVarTuple, Unpack Shape = TypeVarTuple('Shape') Height = NewType('Height', int) Width = NewType('Width', int) class Array(Generic[Unpack[Shape]]): pass x: Array[float, Height, Width] = Array() [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646TypeConcatenation] from typing import Generic, TypeVar, NewType from typing_extensions import TypeVarTuple, Unpack Shape = TypeVarTuple('Shape') Channels = NewType("Channels", int) Batch = NewType("Batch", int) Height = NewType('Height', int) Width = NewType('Width', int) class Array(Generic[Unpack[Shape]]): pass def add_batch_axis(x: Array[Unpack[Shape]]) -> Array[Batch, Unpack[Shape]]: ... def del_batch_axis(x: Array[Batch, Unpack[Shape]]) -> Array[Unpack[Shape]]: ... def add_batch_channels( x: Array[Unpack[Shape]] ) -> Array[Batch, Unpack[Shape], Channels]: ... a: Array[Height, Width] b = add_batch_axis(a) reveal_type(b) # N: Revealed type is "__main__.Array[__main__.Batch, __main__.Height, __main__.Width]" c = del_batch_axis(b) reveal_type(c) # N: Revealed type is "__main__.Array[__main__.Height, __main__.Width]" d = add_batch_channels(a) reveal_type(d) # N: Revealed type is "__main__.Array[__main__.Batch, __main__.Height, __main__.Width, __main__.Channels]" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646TypeVarConcatenation] from typing import Generic, TypeVar, NewType, Tuple from typing_extensions import TypeVarTuple, Unpack T = TypeVar('T') Ts = TypeVarTuple('Ts') def prefix_tuple( x: T, y: Tuple[Unpack[Ts]], ) -> Tuple[T, Unpack[Ts]]: ... z = prefix_tuple(x=0, y=(True, 'a')) reveal_type(z) # N: Revealed type is "tuple[builtins.int, builtins.bool, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646TypeVarTupleUnpacking] from typing import Generic, TypeVar, NewType, Any, Tuple from typing_extensions import TypeVarTuple, Unpack Shape = TypeVarTuple('Shape') Channels = NewType("Channels", int) Batch = NewType("Batch", int) Height = NewType('Height', int) Width = NewType('Width', int) class Array(Generic[Unpack[Shape]]): pass def process_batch_channels( x: Array[Batch, Unpack[Tuple[Any, ...]], Channels] ) -> None: ... x: Array[Batch, Height, Width, Channels] process_batch_channels(x) y: Array[Batch, Channels] process_batch_channels(y) z: Array[Batch] process_batch_channels(z) # E: Argument 1 to "process_batch_channels" has incompatible type "Array[Batch]"; expected "Array[Batch, Unpack[tuple[Any, ...]], Channels]" u: Array[Unpack[Tuple[Any, ...]]] def expect_variadic_array( x: Array[Batch, Unpack[Shape]] ) -> None: ... def expect_variadic_array_2( x: Array[Batch, Height, Width, Channels] ) -> None: ... expect_variadic_array(u) expect_variadic_array_2(u) Ts = TypeVarTuple("Ts") Ts2 = TypeVarTuple("Ts2") def bad(x: Tuple[int, Unpack[Ts], str, Unpack[Ts2]]) -> None: # E: More than one variadic Unpack in a type is not allowed ... reveal_type(bad) # N: Revealed type is "def [Ts, Ts2] (x: tuple[builtins.int, Unpack[Ts`-1], builtins.str])" def bad2(x: Tuple[int, Unpack[Tuple[int, ...]], str, Unpack[Tuple[str, ...]]]) -> None: # E: More than one variadic Unpack in a type is not allowed ... reveal_type(bad2) # N: Revealed type is "def (x: tuple[builtins.int, Unpack[builtins.tuple[builtins.int, ...]], builtins.str])" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646TypeVarStarArgsBasic] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def args_to_tuple(*args: Unpack[Ts]) -> Tuple[Unpack[Ts]]: reveal_type(args) # N: Revealed type is "tuple[Unpack[Ts`-1]]" reveal_type(args_to_tuple(1, *args)) # N: Revealed type is "tuple[Literal[1]?, Unpack[Ts`-1]]" reveal_type(args_to_tuple(*args, 'a')) # N: Revealed type is "tuple[Unpack[Ts`-1], Literal['a']?]" reveal_type(args_to_tuple(1, *args, 'a')) # N: Revealed type is "tuple[Literal[1]?, Unpack[Ts`-1], Literal['a']?]" args_to_tuple(*args, *args) # E: Passing multiple variadic unpacks in a call is not supported ok = (1, 'a') reveal_type(args_to_tuple(*ok, *ok)) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.int, builtins.str]" if int(): return args else: return args_to_tuple(*args) reveal_type(args_to_tuple(1, 'a')) # N: Revealed type is "tuple[Literal[1]?, Literal['a']?]" vt: Tuple[int, ...] reveal_type(args_to_tuple(1, *vt)) # N: Revealed type is "tuple[Literal[1]?, Unpack[builtins.tuple[builtins.int, ...]]]" reveal_type(args_to_tuple(*vt, 'a')) # N: Revealed type is "tuple[Unpack[builtins.tuple[builtins.int, ...]], Literal['a']?]" reveal_type(args_to_tuple(1, *vt, 'a')) # N: Revealed type is "tuple[Literal[1]?, Unpack[builtins.tuple[builtins.int, ...]], Literal['a']?]" args_to_tuple(*vt, *vt) # E: Passing multiple variadic unpacks in a call is not supported [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646TypeVarStarArgs] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def args_to_tuple(*args: Unpack[Ts]) -> Tuple[Unpack[Ts]]: with_prefix_suffix(*args) # E: Too few arguments for "with_prefix_suffix" \ # E: Argument 1 to "with_prefix_suffix" has incompatible type "*tuple[Unpack[Ts]]"; expected "bool" new_args = (True, "foo", *args, 5) with_prefix_suffix(*new_args) return args def with_prefix_suffix(*args: Unpack[Tuple[bool, str, Unpack[Ts], int]]) -> Tuple[bool, str, Unpack[Ts], int]: reveal_type(args) # N: Revealed type is "tuple[builtins.bool, builtins.str, Unpack[Ts`-1], builtins.int]" reveal_type(args_to_tuple(*args)) # N: Revealed type is "tuple[builtins.bool, builtins.str, Unpack[Ts`-1], builtins.int]" reveal_type(args_to_tuple(1, *args, 'a')) # N: Revealed type is "tuple[Literal[1]?, builtins.bool, builtins.str, Unpack[Ts`-1], builtins.int, Literal['a']?]" return args reveal_type(with_prefix_suffix(True, "bar", "foo", 5)) # N: Revealed type is "tuple[builtins.bool, builtins.str, Literal['foo']?, builtins.int]" reveal_type(with_prefix_suffix(True, "bar", 5)) # N: Revealed type is "tuple[builtins.bool, builtins.str, builtins.int]" with_prefix_suffix(True, "bar", "foo", 1.0) # E: Argument 4 to "with_prefix_suffix" has incompatible type "float"; expected "int" with_prefix_suffix(True, "bar") # E: Too few arguments for "with_prefix_suffix" t = (True, "bar", "foo", 5) reveal_type(with_prefix_suffix(*t)) # N: Revealed type is "tuple[builtins.bool, builtins.str, builtins.str, builtins.int]" reveal_type(with_prefix_suffix(True, *("bar", "foo"), 5)) # N: Revealed type is "tuple[builtins.bool, builtins.str, Literal['foo']?, builtins.int]" reveal_type(with_prefix_suffix(True, "bar", *["foo1", "foo2"], 5)) # N: Revealed type is "tuple[builtins.bool, builtins.str, Unpack[builtins.tuple[builtins.str, ...]], builtins.int]" bad_t = (True, "bar") with_prefix_suffix(*bad_t) # E: Too few arguments for "with_prefix_suffix" def foo(*args: Unpack[Ts]) -> None: reveal_type(with_prefix_suffix(True, "bar", *args, 5)) # N: Revealed type is "tuple[builtins.bool, builtins.str, Unpack[Ts`-1], builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646TypeVarStarArgsFixedLengthTuple] from typing import Tuple from typing_extensions import Unpack def foo(*args: Unpack[Tuple[int, str]]) -> None: reveal_type(args) # N: Revealed type is "tuple[builtins.int, builtins.str]" foo(0, "foo") foo(0, 1) # E: Argument 2 to "foo" has incompatible type "int"; expected "str" foo("foo", "bar") # E: Argument 1 to "foo" has incompatible type "str"; expected "int" foo(0, "foo", 1) # E: Too many arguments for "foo" foo(0) # E: Too few arguments for "foo" foo() # E: Too few arguments for "foo" foo(*(0, "foo")) def foo2(*args: Unpack[Tuple[bool, Unpack[Tuple[int, str]], bool]]) -> None: reveal_type(args) # N: Revealed type is "tuple[builtins.bool, builtins.int, builtins.str, builtins.bool]" # It is hard to normalize callable types in definition, because there is deep relation between `FuncDef.type` # and `FuncDef.arguments`, therefore various typeops need to be sure to normalize Callable types before using them. reveal_type(foo2) # N: Revealed type is "def (*args: Unpack[tuple[builtins.bool, builtins.int, builtins.str, builtins.bool]])" class C: def foo2(self, *args: Unpack[Tuple[bool, Unpack[Tuple[int, str]], bool]]) -> None: ... reveal_type(C().foo2) # N: Revealed type is "def (*args: Unpack[tuple[builtins.bool, builtins.int, builtins.str, builtins.bool]])" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646TypeVarStarArgsVariableLengthTuple] from typing import Tuple from typing_extensions import Unpack, TypeVarTuple def foo(*args: Unpack[Tuple[int, ...]]) -> None: reveal_type(args) # N: Revealed type is "builtins.tuple[builtins.int, ...]" foo(0, 1, 2) foo(0, 1, "bar") # E: Argument 3 to "foo" has incompatible type "str"; expected "int" def foo2(*args: Unpack[Tuple[str, Unpack[Tuple[int, ...]], bool, bool]]) -> None: reveal_type(args) # N: Revealed type is "tuple[builtins.str, Unpack[builtins.tuple[builtins.int, ...]], builtins.bool, builtins.bool]" reveal_type(args[1]) # N: Revealed type is "builtins.int" def foo3(*args: Unpack[Tuple[str, Unpack[Tuple[int, ...]], str, float]]) -> None: reveal_type(args[0]) # N: Revealed type is "builtins.str" reveal_type(args[1]) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(args[2]) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.float]" args[3] # E: Tuple index out of range \ # N: Variadic tuple can have length 3 reveal_type(args[-1]) # N: Revealed type is "builtins.float" reveal_type(args[-2]) # N: Revealed type is "builtins.str" reveal_type(args[-3]) # N: Revealed type is "Union[builtins.str, builtins.int]" args[-4] # E: Tuple index out of range \ # N: Variadic tuple can have length 3 reveal_type(args[::-1]) # N: Revealed type is "tuple[builtins.float, builtins.str, Unpack[builtins.tuple[builtins.int, ...]], builtins.str]" args[::2] # E: Ambiguous slice of a variadic tuple args[:2] # E: Ambiguous slice of a variadic tuple Ts = TypeVarTuple("Ts") def foo4(*args: Unpack[Tuple[str, Unpack[Ts], bool, bool]]) -> None: reveal_type(args[1]) # N: Revealed type is "builtins.object" foo2("bar", 1, 2, 3, False, True) foo2(0, 1, 2, 3, False, True) # E: Argument 1 to "foo2" has incompatible type "int"; expected "str" foo2("bar", "bar", 2, 3, False, True) # E: Argument 2 to "foo2" has incompatible type "str"; expected "Unpack[tuple[Unpack[tuple[int, ...]], bool, bool]]" foo2("bar", 1, 2, 3, 4, True) # E: Argument 5 to "foo2" has incompatible type "int"; expected "Unpack[tuple[Unpack[tuple[int, ...]], bool, bool]]" foo2(*("bar", 1, 2, 3, False, True)) [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646Callable] from typing import Tuple, Callable from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") def call( target: Callable[[Unpack[Ts]], None], args: Tuple[Unpack[Ts]], ) -> None: pass def func(arg1: int, arg2: str) -> None: ... def func2(arg1: int, arg2: int) -> None: ... def func3(*args: int) -> None: ... vargs: Tuple[int, ...] vargs_str: Tuple[str, ...] call(target=func, args=(0, 'foo')) call(target=func, args=('bar', 'foo')) # E: Argument "target" to "call" has incompatible type "Callable[[int, str], None]"; expected "Callable[[str, str], None]" call(target=func, args=(True, 'foo', 0)) # E: Argument "target" to "call" has incompatible type "Callable[[int, str], None]"; expected "Callable[[bool, str, int], None]" call(target=func, args=(0, 0, 'foo')) # E: Argument "target" to "call" has incompatible type "Callable[[int, str], None]"; expected "Callable[[int, int, str], None]" call(target=func, args=vargs) # E: Argument "target" to "call" has incompatible type "Callable[[int, str], None]"; expected "def (*int) -> None" # NOTE: This behavior may be a bit contentious, it is maybe inconsistent with our handling of # PEP646 but consistent with our handling of callable constraints. call(target=func2, args=vargs) # E: Argument "target" to "call" has incompatible type "Callable[[int, int], None]"; expected "def (*int) -> None" call(target=func3, args=vargs) call(target=func3, args=(0,1)) call(target=func3, args=(0,'foo')) # E: Argument "target" to "call" has incompatible type "def func3(*args: int) -> None"; expected "Callable[[int, str], None]" call(target=func3, args=vargs_str) # E: Argument "target" to "call" has incompatible type "def func3(*args: int) -> None"; expected "def (*str) -> None" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646CallableWithPrefixSuffix] from typing import Tuple, Callable from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") def call_prefix( target: Callable[[bytes, Unpack[Ts]], None], args: Tuple[Unpack[Ts]], ) -> None: pass def func_prefix(arg0: bytes, arg1: int, arg2: str) -> None: ... def func2_prefix(arg0: str, arg1: int, arg2: str) -> None: ... call_prefix(target=func_prefix, args=(0, 'foo')) call_prefix(target=func2_prefix, args=(0, 'foo')) # E: Argument "target" to "call_prefix" has incompatible type "Callable[[str, int, str], None]"; expected "Callable[[bytes, int, str], None]" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646CallableSuffixSyntax] from typing import Callable, Tuple, TypeVar from typing_extensions import Unpack, TypeVarTuple x: Callable[[str, Unpack[Tuple[int, ...]], bool], None] reveal_type(x) # N: Revealed type is "def (builtins.str, *Unpack[tuple[Unpack[builtins.tuple[builtins.int, ...]], builtins.bool]])" T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") A = Callable[[T, Unpack[Ts], S], int] y: A[int, str, bool] reveal_type(y) # N: Revealed type is "def (builtins.int, builtins.str, builtins.bool) -> builtins.int" z: A[Unpack[Tuple[int, ...]]] reveal_type(z) # N: Revealed type is "def (builtins.int, *Unpack[tuple[Unpack[builtins.tuple[builtins.int, ...]], builtins.int]]) -> builtins.int" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646CallableInvalidSyntax] from typing import Callable, Tuple, TypeVar from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") Us = TypeVarTuple("Us") a: Callable[[Unpack[Ts], Unpack[Us]], int] # E: More than one variadic Unpack in a type is not allowed reveal_type(a) # N: Revealed type is "def [Ts, Us] (*Unpack[Ts`-1]) -> builtins.int" b: Callable[[Unpack], int] # E: Unpack[...] requires exactly one type argument reveal_type(b) # N: Revealed type is "def (*Any) -> builtins.int" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646CallableNewSyntax] from typing import Callable, Generic, Tuple from typing_extensions import ParamSpec x: Callable[[str, *Tuple[int, ...]], None] reveal_type(x) # N: Revealed type is "def (builtins.str, *builtins.int)" y: Callable[[str, *Tuple[int, ...], bool], None] reveal_type(y) # N: Revealed type is "def (builtins.str, *Unpack[tuple[Unpack[builtins.tuple[builtins.int, ...]], builtins.bool]])" P = ParamSpec("P") class C(Generic[P]): ... bad: C[[int, *Tuple[int, ...], int]] # E: Unpack is only valid in a variadic position reveal_type(bad) # N: Revealed type is "__main__.C[[builtins.int, *Any]]" [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646UnspecifiedParameters] from typing import Tuple, Generic, TypeVar from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") class Array(Generic[Unpack[Ts]]): ... def takes_any_array(arr: Array) -> None: ... x: Array[int, bool] takes_any_array(x) T = TypeVar("T") class Array2(Generic[T, Unpack[Ts]]): ... def takes_empty_array2(arr: Array2[int]) -> None: ... y: Array2[int] takes_empty_array2(y) [builtins fixtures/tuple.pyi] [case testTypeVarTuplePep646CallableStarArgs] from typing import Tuple, Callable from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") def call( target: Callable[[Unpack[Ts]], None], *args: Unpack[Ts], ) -> None: ... target(*args) class A: def func(self, arg1: int, arg2: str) -> None: ... def func2(self, arg1: int, arg2: int) -> None: ... def func3(self, *args: int) -> None: ... vargs: Tuple[int, ...] vargs_str: Tuple[str, ...] call(A().func) # E: Argument 1 to "call" has incompatible type "Callable[[int, str], None]"; expected "Callable[[], None]" call(A().func, 0, 'foo') call(A().func, 0, 'foo', 0) # E: Argument 1 to "call" has incompatible type "Callable[[int, str], None]"; expected "Callable[[int, str, int], None]" call(A().func, 0) # E: Argument 1 to "call" has incompatible type "Callable[[int, str], None]"; expected "Callable[[int], None]" call(A().func, 0, 1) # E: Argument 1 to "call" has incompatible type "Callable[[int, str], None]"; expected "Callable[[int, int], None]" call(A().func2, 0, 0) call(A().func3, 0, 1, 2) call(A().func3) [builtins fixtures/tuple.pyi] [case testVariadicAliasBasicTuple] from typing import Tuple, List, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") A = List[Tuple[T, Unpack[Ts], T]] x: A[int, str, str] reveal_type(x) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str, builtins.str, builtins.int]]" [builtins fixtures/tuple.pyi] [case testVariadicAliasBasicCallable] from typing import TypeVar, Callable from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") A = Callable[[T, Unpack[Ts]], S] x: A[int, str, int, str] reveal_type(x) # N: Revealed type is "def (builtins.int, builtins.str, builtins.int) -> builtins.str" [builtins fixtures/tuple.pyi] [case testVariadicAliasBasicInstance] from typing import TypeVar, Generic from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") class G(Generic[Unpack[Ts], T]): ... A = G[T, Unpack[Ts], T] x: A[int, str, str] reveal_type(x) # N: Revealed type is "__main__.G[builtins.int, builtins.str, builtins.str, builtins.int]" [builtins fixtures/tuple.pyi] [case testVariadicAliasUnpackFixedTupleArgs] from typing import Tuple, List, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") Start = Tuple[int, str] A = List[Tuple[T, Unpack[Ts], S]] x: A[Unpack[Start], int] reveal_type(x) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.str, builtins.int]]" [builtins fixtures/tuple.pyi] [case testVariadicAliasUnpackFixedTupleTarget] from typing import Tuple, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") Prefix = Tuple[int, int] A = Tuple[Unpack[Prefix], Unpack[Ts]] x: A[str, str] reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.str, builtins.str]" [builtins fixtures/tuple.pyi] [case testVariadicAliasMultipleUnpacks] from typing import Tuple, Generic, Callable from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") Us = TypeVarTuple("Us") class G(Generic[Unpack[Ts]]): ... A = Tuple[Unpack[Ts], Unpack[Us]] # E: More than one variadic Unpack in a type is not allowed x: A[int, str] reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.str]" B = Callable[[Unpack[Ts], Unpack[Us]], int] # E: More than one variadic Unpack in a type is not allowed y: B[int, str] reveal_type(y) # N: Revealed type is "def (builtins.int, builtins.str) -> builtins.int" C = G[Unpack[Ts], Unpack[Us]] # E: More than one variadic Unpack in a type is not allowed z: C[int, str] reveal_type(z) # N: Revealed type is "__main__.G[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testVariadicAliasNoArgs] from typing import Tuple, TypeVar, Generic, Callable, List from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") class G(Generic[Unpack[Ts]]): ... A = List[Tuple[T, Unpack[Ts], T]] x: A reveal_type(x) # N: Revealed type is "builtins.list[tuple[Any, Unpack[builtins.tuple[Any, ...]], Any]]" B = Callable[[T, Unpack[Ts]], int] y: B reveal_type(y) # N: Revealed type is "def (Any, *Any) -> builtins.int" C = G[T, Unpack[Ts], T] z: C reveal_type(z) # N: Revealed type is "__main__.G[Any, Unpack[builtins.tuple[Any, ...]], Any]" [builtins fixtures/tuple.pyi] [case testVariadicAliasFewArgs] from typing import Tuple, List, TypeVar, Generic, Callable from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") class G(Generic[Unpack[Ts]]): ... A = List[Tuple[T, Unpack[Ts], S]] x: A[int] # E: Bad number of arguments for type alias, expected at least 2, given 1 reveal_type(x) # N: Revealed type is "builtins.list[tuple[Any, Unpack[builtins.tuple[Any, ...]], Any]]" B = Callable[[T, S, Unpack[Ts]], int] y: B[int] # E: Bad number of arguments for type alias, expected at least 2, given 1 reveal_type(y) # N: Revealed type is "def (Any, Any, *Any) -> builtins.int" C = G[T, Unpack[Ts], S] z: C[int] # E: Bad number of arguments for type alias, expected at least 2, given 1 reveal_type(z) # N: Revealed type is "__main__.G[Any, Unpack[builtins.tuple[Any, ...]], Any]" [builtins fixtures/tuple.pyi] [case testVariadicAliasRecursiveUnpack] from typing import Tuple, Optional from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") A = Tuple[Unpack[Ts], Optional[A[Unpack[Ts]]]] x: A[int, str] reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.str, Union[..., None]]" *_, last = x if last is not None: reveal_type(last) # N: Revealed type is "tuple[builtins.int, builtins.str, Union[tuple[builtins.int, builtins.str, Union[..., None]], None]]" [builtins fixtures/tuple.pyi] [case testVariadicAliasUpperBoundCheck] from typing import Tuple, TypeVar from typing_extensions import Unpack, TypeVarTuple class A: ... class B: ... class C: ... class D: ... T = TypeVar("T", bound=int) S = TypeVar("S", bound=str) Ts = TypeVarTuple("Ts") Alias = Tuple[T, Unpack[Ts], S] First = Tuple[A, B] Second = Tuple[C, D] x: Alias[Unpack[First], Unpack[Second]] # E: Type argument "A" of "Alias" must be a subtype of "int" \ # E: Type argument "D" of "Alias" must be a subtype of "str" [builtins fixtures/tuple.pyi] [case testVariadicAliasEmptyArg] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") A = Tuple[int, Unpack[Ts], str] x: A[()] reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testVariadicAliasVariadicTupleArg] from typing import Tuple, TypeVar from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") A = Tuple[int, Unpack[Ts]] B = A[str, Unpack[Ts]] C = B[Unpack[Tuple[bool, ...]]] x: C reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.str, Unpack[builtins.tuple[builtins.bool, ...]]]" [builtins fixtures/tuple.pyi] [case testVariadicAliasVariadicTupleArgGeneric] from typing import Tuple, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") A = Tuple[int, Unpack[Ts]] B = A[Unpack[Tuple[T, ...]]] x: B[str] reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.str, ...]]]" [builtins fixtures/tuple.pyi] [case testVariadicAliasVariadicTupleArgSplit] from typing import Tuple, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") A = Tuple[T, Unpack[Ts], S, T] x: A[int, Unpack[Tuple[bool, ...]], str] reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.bool, ...]], builtins.str, builtins.int]" y: A[Unpack[Tuple[bool, ...]]] reveal_type(y) # N: Revealed type is "tuple[builtins.bool, Unpack[builtins.tuple[builtins.bool, ...]], builtins.bool, builtins.bool]" [builtins fixtures/tuple.pyi] [case testBanPathologicalRecursiveTuples] from typing import Tuple from typing_extensions import Unpack A = Tuple[int, Unpack[A]] # E: Invalid recursive alias: a tuple item of itself B = Tuple[int, Unpack[C]] # E: Invalid recursive alias: a tuple item of itself \ # E: Name "C" is used before definition C = Tuple[int, Unpack[B]] x: A y: B z: C reveal_type(x) # N: Revealed type is "Any" reveal_type(y) # N: Revealed type is "Any" reveal_type(z) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[Any, ...]]]" [builtins fixtures/tuple.pyi] [case testInferenceAgainstGenericVariadicWithBadType] from typing import TypeVar, Callable, Generic from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") Ts = TypeVarTuple("Ts") Us = TypeVarTuple("Us") class Foo(Generic[Unpack[Ts]]): ... def dec(f: Callable[[Unpack[Ts]], T]) -> Callable[[Unpack[Ts]], T]: ... def f(*args: Unpack[Us]) -> Foo[Us]: ... # E: TypeVarTuple "Us" is only valid with an unpack dec(f) # No crash [builtins fixtures/tuple.pyi] [case testHomogeneousGenericTupleUnpackInferenceNoCrash1] from typing import Any, TypeVar, Tuple, Type, Optional from typing_extensions import Unpack T = TypeVar("T") def convert(obj: Any, *to_classes: Unpack[Tuple[Type[T], ...]]) -> Optional[T]: ... x = convert(1, int, float) reveal_type(x) # N: Revealed type is "Union[builtins.float, None]" [builtins fixtures/tuple.pyi] [case testHomogeneousGenericTupleUnpackInferenceNoCrash2] from typing import TypeVar, Tuple, Callable, Iterable from typing_extensions import Unpack T = TypeVar("T") def combine(x: T, y: T) -> T: ... def reduce(fn: Callable[[T, T], T], xs: Iterable[T]) -> T: ... def pipeline(*xs: Unpack[Tuple[int, Unpack[Tuple[str, ...]], bool]]) -> None: reduce(combine, xs) [builtins fixtures/tuple.pyi] [case testVariadicStarArgsCallNoCrash] from typing import TypeVar, Callable, Tuple from typing_extensions import TypeVarTuple, Unpack X = TypeVar("X") Y = TypeVar("Y") Xs = TypeVarTuple("Xs") Ys = TypeVarTuple("Ys") def nil() -> Tuple[()]: return () def cons( f: Callable[[X], Y], g: Callable[[Unpack[Xs]], Tuple[Unpack[Ys]]], ) -> Callable[[X, Unpack[Xs]], Tuple[Y, Unpack[Ys]]]: def wrapped(x: X, *xs: Unpack[Xs]) -> Tuple[Y, Unpack[Ys]]: y, ys = f(x), g(*xs) return y, *ys return wrapped def star(f: Callable[[X], Y]) -> Callable[[Unpack[Tuple[X, ...]]], Tuple[Y, ...]]: def wrapped(*xs: X) -> Tuple[Y, ...]: if not xs: return nil() return cons(f, star(f))(*xs) return wrapped [builtins fixtures/tuple.pyi] [case testInvalidTypeVarTupleUseNoCrash] from typing_extensions import TypeVarTuple Ts = TypeVarTuple("Ts") def f(x: Ts) -> Ts: # E: TypeVarTuple "Ts" is only valid with an unpack return x v = f(1, 2, "A") # E: Too many arguments for "f" reveal_type(v) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testTypeVarTupleSimpleDecoratorWorks] from typing import TypeVar, Callable from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") T = TypeVar("T") def decorator(f: Callable[[Unpack[Ts]], T]) -> Callable[[Unpack[Ts]], T]: def wrapper(*args: Unpack[Ts]) -> T: return f(*args) return wrapper @decorator def f(a: int, b: int) -> int: ... reveal_type(f) # N: Revealed type is "def (builtins.int, builtins.int) -> builtins.int" [builtins fixtures/tuple.pyi] [case testTupleWithUnpackIterator] from typing import Tuple from typing_extensions import Unpack def pipeline(*xs: Unpack[Tuple[int, Unpack[Tuple[float, ...]], bool]]) -> None: for x in xs: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.float]" [builtins fixtures/tuple.pyi] [case testFixedUnpackItemInInstanceArguments] from typing import TypeVar, Callable, Tuple, Generic from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") class C(Generic[T, Unpack[Ts], S]): prefix: T suffix: S middle: Tuple[Unpack[Ts]] Ints = Tuple[int, int] c: C[Unpack[Ints]] reveal_type(c.prefix) # N: Revealed type is "builtins.int" reveal_type(c.suffix) # N: Revealed type is "builtins.int" reveal_type(c.middle) # N: Revealed type is "tuple[()]" [builtins fixtures/tuple.pyi] [case testVariadicUnpackItemInInstanceArguments] from typing import TypeVar, Callable, Tuple, Generic from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") class Other(Generic[Unpack[Ts]]): ... class C(Generic[T, Unpack[Ts], S]): prefix: T suffix: S x: Tuple[Unpack[Ts]] y: Callable[[Unpack[Ts]], None] z: Other[Unpack[Ts]] Ints = Tuple[int, ...] c: C[Unpack[Ints]] reveal_type(c.prefix) # N: Revealed type is "builtins.int" reveal_type(c.suffix) # N: Revealed type is "builtins.int" reveal_type(c.x) # N: Revealed type is "builtins.tuple[builtins.int, ...]" reveal_type(c.y) # N: Revealed type is "def (*builtins.int)" reveal_type(c.z) # N: Revealed type is "__main__.Other[Unpack[builtins.tuple[builtins.int, ...]]]" [builtins fixtures/tuple.pyi] [case testTooFewItemsInInstanceArguments] from typing import Generic, TypeVar from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") class C(Generic[T, Unpack[Ts], S]): ... c: C[int] # E: Bad number of arguments, expected: at least 2, given: 1 reveal_type(c) # N: Revealed type is "__main__.C[Any, Unpack[builtins.tuple[Any, ...]], Any]" [builtins fixtures/tuple.pyi] [case testVariadicClassUpperBoundCheck] from typing import Tuple, TypeVar, Generic from typing_extensions import Unpack, TypeVarTuple class A: ... class B: ... class C: ... class D: ... T = TypeVar("T", bound=int) S = TypeVar("S", bound=str) Ts = TypeVarTuple("Ts") class G(Generic[T, Unpack[Ts], S]): ... First = Tuple[A, B] Second = Tuple[C, D] x: G[Unpack[First], Unpack[Second]] # E: Type argument "A" of "G" must be a subtype of "int" \ # E: Type argument "D" of "G" must be a subtype of "str" [builtins fixtures/tuple.pyi] [case testVariadicTupleType] from typing import Tuple, Callable from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class A(Tuple[Unpack[Ts]]): fn: Callable[[Unpack[Ts]], None] x: A[int] reveal_type(x) # N: Revealed type is "tuple[builtins.int, fallback=__main__.A[builtins.int]]" reveal_type(x[0]) # N: Revealed type is "builtins.int" reveal_type(x.fn) # N: Revealed type is "def (builtins.int)" y: A[int, str] reveal_type(y) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.A[builtins.int, builtins.str]]" reveal_type(y[0]) # N: Revealed type is "builtins.int" reveal_type(y.fn) # N: Revealed type is "def (builtins.int, builtins.str)" z: A[Unpack[Tuple[int, ...]]] reveal_type(z) # N: Revealed type is "__main__.A[Unpack[builtins.tuple[builtins.int, ...]]]" reveal_type(z[0]) # N: Revealed type is "builtins.int" reveal_type(z.fn) # N: Revealed type is "def (*builtins.int)" t: A[int, Unpack[Tuple[int, str]], str] reveal_type(t) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.str, builtins.str, fallback=__main__.A[builtins.int, builtins.int, builtins.str, builtins.str]]" reveal_type(t[0]) # N: Revealed type is "builtins.int" reveal_type(t.fn) # N: Revealed type is "def (builtins.int, builtins.int, builtins.str, builtins.str)" [builtins fixtures/tuple.pyi] [case testVariadicNamedTuple] from typing import Tuple, Callable, NamedTuple, Generic, TypeVar from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") Ts = TypeVarTuple("Ts") class A(NamedTuple, Generic[Unpack[Ts], T]): fn: Callable[[Unpack[Ts]], None] val: T y: A[int, str] reveal_type(y) # N: Revealed type is "tuple[def (builtins.int), builtins.str, fallback=__main__.A[builtins.int, builtins.str]]" reveal_type(y[0]) # N: Revealed type is "def (builtins.int)" reveal_type(y.fn) # N: Revealed type is "def (builtins.int)" z: A[Unpack[Tuple[int, ...]]] reveal_type(z) # N: Revealed type is "tuple[def (*builtins.int), builtins.int, fallback=__main__.A[Unpack[builtins.tuple[builtins.int, ...]], builtins.int]]" reveal_type(z.fn) # N: Revealed type is "def (*builtins.int)" t: A[int, Unpack[Tuple[int, str]], str] reveal_type(t) # N: Revealed type is "tuple[def (builtins.int, builtins.int, builtins.str), builtins.str, fallback=__main__.A[builtins.int, builtins.int, builtins.str, builtins.str]]" def test(x: int, y: str) -> None: ... nt = A(fn=test, val=42) reveal_type(nt) # N: Revealed type is "tuple[def (builtins.int, builtins.str), builtins.int, fallback=__main__.A[builtins.int, builtins.str, builtins.int]]" def bad() -> int: ... nt2 = A(fn=bad, val=42) # E: Argument "fn" to "A" has incompatible type "Callable[[], int]"; expected "Callable[[], None]" [builtins fixtures/tuple.pyi] [case testVariadicTypedDict] from typing import Tuple, Callable, Generic, TypedDict, TypeVar from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") Ts = TypeVarTuple("Ts") class A(TypedDict, Generic[Unpack[Ts], T]): fn: Callable[[Unpack[Ts]], None] val: T y: A[int, str] reveal_type(y) # N: Revealed type is "TypedDict('__main__.A', {'fn': def (builtins.int), 'val': builtins.str})" reveal_type(y["fn"]) # N: Revealed type is "def (builtins.int)" z: A[Unpack[Tuple[int, ...]]] reveal_type(z) # N: Revealed type is "TypedDict('__main__.A', {'fn': def (*builtins.int), 'val': builtins.int})" reveal_type(z["fn"]) # N: Revealed type is "def (*builtins.int)" t: A[int, Unpack[Tuple[int, str]], str] reveal_type(t) # N: Revealed type is "TypedDict('__main__.A', {'fn': def (builtins.int, builtins.int, builtins.str), 'val': builtins.str})" def test(x: int, y: str) -> None: ... td = A({"fn": test, "val": 42}) reveal_type(td) # N: Revealed type is "TypedDict('__main__.A', {'fn': def (builtins.int, builtins.str), 'val': builtins.int})" def bad() -> int: ... td2 = A({"fn": bad, "val": 42}) # E: Incompatible types (expression has type "Callable[[], int]", TypedDict item "fn" has type "Callable[[], None]") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testFixedUnpackWithRegularInstance] from typing import Tuple, Generic, TypeVar from typing_extensions import Unpack T1 = TypeVar("T1") T2 = TypeVar("T2") T3 = TypeVar("T3") T4 = TypeVar("T4") class C(Generic[T1, T2, T3, T4]): ... x: C[int, Unpack[Alias], str] Alias = Tuple[int, str] reveal_type(x) # N: Revealed type is "__main__.C[builtins.int, builtins.int, builtins.str, builtins.str]" [builtins fixtures/tuple.pyi] [case testVariadicUnpackWithRegularInstance] from typing import Tuple, Generic, TypeVar from typing_extensions import Unpack T1 = TypeVar("T1") T2 = TypeVar("T2") T3 = TypeVar("T3") T4 = TypeVar("T4") class C(Generic[T1, T2, T3, T4]): ... x: C[int, Unpack[Alias], str, str] # E: Unpack is only valid in a variadic position Alias = Tuple[int, ...] reveal_type(x) # N: Revealed type is "__main__.C[Any, Any, Any, Any]" y: C[int, Unpack[Undefined]] # E: Name "Undefined" is not defined reveal_type(y) # N: Revealed type is "__main__.C[Any, Any, Any, Any]" [builtins fixtures/tuple.pyi] [case testVariadicAliasInvalidUnpackNoCrash] from typing import Tuple, Generic, Union, List from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") Alias = Tuple[int, Unpack[Ts], str] A = Union[int, str] x: List[Alias[int, Unpack[A], str]] # E: "Union[int, str]" cannot be unpacked (must be tuple or TypeVarTuple) reveal_type(x) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.int, Unpack[builtins.tuple[Any, ...]], builtins.str, builtins.str]]" y: List[Alias[int, Unpack[Undefined], str]] # E: Name "Undefined" is not defined reveal_type(y) # N: Revealed type is "builtins.list[tuple[builtins.int, Unpack[builtins.tuple[Any, ...]], builtins.str]]" [builtins fixtures/tuple.pyi] [case testVariadicAliasForwardRefToFixedUnpack] from typing import Tuple, Generic, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") Alias = Tuple[T, Unpack[Ts], S] x: Alias[int, Unpack[Other]] Other = Tuple[int, str] reveal_type(x) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testVariadicAliasForwardRefToVariadicUnpack] from typing import Tuple, Generic, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") Alias = Tuple[T, Unpack[Ts], S] x: Alias[int, Unpack[Other]] Other = Tuple[int, ...] reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.int, ...]], builtins.int]" [builtins fixtures/tuple.pyi] [case testVariadicInstanceStrictPrefixSuffixCheck] from typing import Tuple, Generic, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") class C(Generic[T, Unpack[Ts], S]): ... def foo(x: Tuple[Unpack[Ts]]) -> Tuple[Unpack[Ts]]: y: C[int, Unpack[Ts]] # E: TypeVarTuple cannot be split z: C[Unpack[Ts], int] # E: TypeVarTuple cannot be split return x [builtins fixtures/tuple.pyi] [case testVariadicAliasStrictPrefixSuffixCheck] from typing import Tuple, TypeVar from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") Alias = Tuple[T, Unpack[Ts], S] def foo(x: Tuple[Unpack[Ts]]) -> Tuple[Unpack[Ts]]: y: Alias[int, Unpack[Ts]] # E: TypeVarTuple cannot be split z: Alias[Unpack[Ts], int] # E: TypeVarTuple cannot be split return x [builtins fixtures/tuple.pyi] [case testTypeVarTupleWithIsInstance] # flags: --warn-unreachable from typing import Generic, Tuple from typing_extensions import TypeVarTuple, Unpack TP = TypeVarTuple("TP") class A(Tuple[Unpack[TP]]): ... def test(d: A[int, str]) -> None: if isinstance(d, A): reveal_type(d) # N: Revealed type is "tuple[builtins.int, builtins.str, fallback=__main__.A[builtins.int, builtins.str]]" else: reveal_type(d) # E: Statement is unreachable class B(Generic[Unpack[TP]]): ... def test2(d: B[int, str]) -> None: if isinstance(d, B): reveal_type(d) # N: Revealed type is "__main__.B[builtins.int, builtins.str]" else: reveal_type(d) # E: Statement is unreachable [builtins fixtures/isinstancelist.pyi] [case testVariadicTupleSubtyping] from typing import Tuple from typing_extensions import Unpack def f1(x: Tuple[float, ...]) -> None: ... def f2(x: Tuple[float, Unpack[Tuple[float, ...]]]) -> None: ... def f3(x: Tuple[Unpack[Tuple[float, ...]], float]) -> None: ... def f4(x: Tuple[float, Unpack[Tuple[float, ...]], float]) -> None: ... t1: Tuple[int, int] t2: Tuple[int, Unpack[Tuple[int, ...]]] t3: Tuple[Unpack[Tuple[int, ...]], int] t4: Tuple[int, Unpack[Tuple[int, ...]], int] t5: Tuple[int, ...] tl: Tuple[int, int, Unpack[Tuple[int, ...]]] tr: Tuple[Unpack[Tuple[int, ...]], int, int] f1(t1) f1(t2) f1(t3) f1(t4) f1(t5) f1(tl) f1(tr) f2(t1) f2(t2) f2(t3) f2(t4) f2(t5) # E: Argument 1 to "f2" has incompatible type "tuple[int, ...]"; expected "tuple[float, Unpack[tuple[float, ...]]]" f2(tl) f2(tr) f3(t1) f3(t2) f3(t3) f3(t4) f3(t5) # E: Argument 1 to "f3" has incompatible type "tuple[int, ...]"; expected "tuple[Unpack[tuple[float, ...]], float]" f3(tl) f3(tr) f4(t1) f4(t2) # E: Argument 1 to "f4" has incompatible type "tuple[int, Unpack[tuple[int, ...]]]"; expected "tuple[float, Unpack[tuple[float, ...]], float]" f4(t3) # E: Argument 1 to "f4" has incompatible type "tuple[Unpack[tuple[int, ...]], int]"; expected "tuple[float, Unpack[tuple[float, ...]], float]" f4(t4) f4(t5) # E: Argument 1 to "f4" has incompatible type "tuple[int, ...]"; expected "tuple[float, Unpack[tuple[float, ...]], float]" f4(tl) f4(tr) t5_verbose: Tuple[Unpack[Tuple[int, ...]]] t5 = t5_verbose # OK [builtins fixtures/tuple.pyi] [case testVariadicTupleInference] from typing import List, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") def f(x: Tuple[int, Unpack[Tuple[T, ...]]]) -> T: ... vt0: Tuple[int, ...] f(vt0) # E: Argument 1 to "f" has incompatible type "tuple[int, ...]"; expected "tuple[int, Unpack[tuple[int, ...]]]" vt1: Tuple[Unpack[Tuple[int, ...]], int] reveal_type(f(vt1)) # N: Revealed type is "builtins.int" S = TypeVar("S") Ts = TypeVarTuple("Ts") def g(x: Tuple[T, Unpack[Ts], S]) -> Tuple[T, Unpack[Ts], S]: ... g(vt0) # E: Argument 1 to "g" has incompatible type "tuple[int, ...]"; expected "tuple[int, Unpack[tuple[int, ...]], int]" U = TypeVar("U") def h(x: List[Tuple[T, S, U]]) -> Tuple[T, S, U]: ... vt2: Tuple[Unpack[Tuple[int, ...]], int] vt2 = h(reveal_type([])) # N: Revealed type is "builtins.list[tuple[builtins.int, builtins.int, builtins.int]]" [builtins fixtures/tuple.pyi] [case testVariadicSelfTypeErasure] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class Array(Generic[Unpack[Ts]]): def _close(self) -> None: ... def close(self) -> None: self._close() [builtins fixtures/tuple.pyi] [case testVariadicSubclassFixed] from typing import Generic, Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): ... class C(B[int, str]): ... class D(B[Unpack[Tuple[int, ...]]]): ... def fii(x: B[int, int]) -> None: ... def fis(x: B[int, str]) -> None: ... def fiv(x: B[Unpack[Tuple[int, ...]]]) -> None: ... fii(C()) # E: Argument 1 to "fii" has incompatible type "C"; expected "B[int, int]" fii(D()) # E: Argument 1 to "fii" has incompatible type "D"; expected "B[int, int]" fis(C()) fis(D()) # E: Argument 1 to "fis" has incompatible type "D"; expected "B[int, str]" fiv(C()) # E: Argument 1 to "fiv" has incompatible type "C"; expected "B[Unpack[tuple[int, ...]]]" fiv(D()) [builtins fixtures/tuple.pyi] [case testVariadicSubclassSame] from typing import Generic, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): ... class C(B[Unpack[Ts]]): ... def fii(x: B[int, int]) -> None: ... def fis(x: B[int, str]) -> None: ... def fiv(x: B[Unpack[Tuple[int, ...]]]) -> None: ... cii: C[int, int] cis: C[int, str] civ: C[Unpack[Tuple[int, ...]]] fii(cii) fii(cis) # E: Argument 1 to "fii" has incompatible type "C[int, str]"; expected "B[int, int]" fii(civ) # E: Argument 1 to "fii" has incompatible type "C[Unpack[tuple[int, ...]]]"; expected "B[int, int]" fis(cii) # E: Argument 1 to "fis" has incompatible type "C[int, int]"; expected "B[int, str]" fis(cis) fis(civ) # E: Argument 1 to "fis" has incompatible type "C[Unpack[tuple[int, ...]]]"; expected "B[int, str]" fiv(cii) fiv(cis) # E: Argument 1 to "fiv" has incompatible type "C[int, str]"; expected "B[Unpack[tuple[int, ...]]]" fiv(civ) [builtins fixtures/tuple.pyi] [case testVariadicSubclassExtra] from typing import Generic, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): ... T = TypeVar("T") class C(B[int, Unpack[Ts], T]): ... def ff(x: B[int, int, int]) -> None: ... def fv(x: B[Unpack[Tuple[int, ...]]]) -> None: ... cii: C[int, int] cis: C[int, str] civ: C[Unpack[Tuple[int, ...]]] ff(cii) ff(cis) # E: Argument 1 to "ff" has incompatible type "C[int, str]"; expected "B[int, int, int]" ff(civ) # E: Argument 1 to "ff" has incompatible type "C[Unpack[tuple[int, ...]]]"; expected "B[int, int, int]" fv(cii) fv(cis) # E: Argument 1 to "fv" has incompatible type "C[int, str]"; expected "B[Unpack[tuple[int, ...]]]" fv(civ) [builtins fixtures/tuple.pyi] [case testVariadicSubclassVariadic] from typing import Generic, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): ... T = TypeVar("T") class C(B[Unpack[Tuple[T, ...]]]): ... def ff(x: B[int, int]) -> None: ... def fv(x: B[Unpack[Tuple[int, ...]]]) -> None: ... ci: C[int] ff(ci) # E: Argument 1 to "ff" has incompatible type "C[int]"; expected "B[int, int]" fv(ci) [builtins fixtures/tuple.pyi] [case testVariadicSubclassMethodAccess] from typing import Generic, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): def meth(self) -> Tuple[Unpack[Ts]]: ... class C1(B[int, str]): ... class C2(B[Unpack[Ts]]): ... T = TypeVar("T") class C3(B[int, Unpack[Ts], T]): ... class C4(B[Unpack[Tuple[T, ...]]]): ... c1: C1 reveal_type(c1.meth()) # N: Revealed type is "tuple[builtins.int, builtins.str]" c2f: C2[int, str] c2v: C2[Unpack[Tuple[int, ...]]] reveal_type(c2f.meth()) # N: Revealed type is "tuple[builtins.int, builtins.str]" reveal_type(c2v.meth()) # N: Revealed type is "builtins.tuple[builtins.int, ...]" c3f: C3[int, str] c3v: C3[Unpack[Tuple[int, ...]]] reveal_type(c3f.meth()) # N: Revealed type is "tuple[builtins.int, builtins.int, builtins.str]" reveal_type(c3v.meth()) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.int, ...]], builtins.int]" c4: C4[int] reveal_type(c4.meth()) # N: Revealed type is "builtins.tuple[builtins.int, ...]" [builtins fixtures/tuple.pyi] [case testVariadicTupleAnySubtype] from typing import Any, Generic, Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): ... class C1(B[Unpack[Tuple[Any, ...]]]): ... c1 = C1() class C2(B): ... c2 = C2() x: B[int, str] x = c1 x = c2 [builtins fixtures/tuple.pyi] [case testVariadicTupleAnySubtypeTupleType] from typing import Any, Generic, Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Tuple[Unpack[Ts]]): ... class C1(B[Unpack[Tuple[Any, ...]]]): ... c1 = C1() class C2(B): ... c2 = C2() x: B[int, str] x = c1 x = c2 [builtins fixtures/tuple.pyi] [case testUnpackingVariadicTuplesTypeVar] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def foo(arg: Tuple[int, Unpack[Ts], str]) -> None: x1, y1, z1 = arg # E: Variadic tuple unpacking requires a star target reveal_type(x1) # N: Revealed type is "Any" reveal_type(y1) # N: Revealed type is "Any" reveal_type(z1) # N: Revealed type is "Any" x2, *y2, z2 = arg reveal_type(x2) # N: Revealed type is "builtins.int" reveal_type(y2) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(z2) # N: Revealed type is "builtins.str" x3, *y3 = arg reveal_type(x3) # N: Revealed type is "builtins.int" reveal_type(y3) # N: Revealed type is "builtins.list[builtins.object]" *y4, z4 = arg reveal_type(y4) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(z4) # N: Revealed type is "builtins.str" x5, xx5, *y5, z5, zz5 = arg # E: Too many assignment targets for variadic unpack reveal_type(x5) # N: Revealed type is "Any" reveal_type(xx5) # N: Revealed type is "Any" reveal_type(y5) # N: Revealed type is "builtins.list[Any]" reveal_type(z5) # N: Revealed type is "Any" reveal_type(zz5) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testUnpackingVariadicTuplesHomogeneous] from typing import Tuple from typing_extensions import Unpack def bar(arg: Tuple[int, Unpack[Tuple[float, ...]], str]) -> None: x1, y1, z1 = arg # E: Variadic tuple unpacking requires a star target reveal_type(x1) # N: Revealed type is "Any" reveal_type(y1) # N: Revealed type is "Any" reveal_type(z1) # N: Revealed type is "Any" x2, *y2, z2 = arg reveal_type(x2) # N: Revealed type is "builtins.int" reveal_type(y2) # N: Revealed type is "builtins.list[builtins.float]" reveal_type(z2) # N: Revealed type is "builtins.str" x3, *y3 = arg reveal_type(x3) # N: Revealed type is "builtins.int" reveal_type(y3) # N: Revealed type is "builtins.list[builtins.object]" *y4, z4 = arg reveal_type(y4) # N: Revealed type is "builtins.list[builtins.float]" reveal_type(z4) # N: Revealed type is "builtins.str" x5, xx5, *y5, z5, zz5 = arg # E: Too many assignment targets for variadic unpack reveal_type(x5) # N: Revealed type is "Any" reveal_type(xx5) # N: Revealed type is "Any" reveal_type(y5) # N: Revealed type is "builtins.list[Any]" reveal_type(z5) # N: Revealed type is "Any" reveal_type(zz5) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testRepackingVariadicTuplesTypeVar] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def foo(arg: Tuple[int, Unpack[Ts], str]) -> None: x1, *y1, z1 = *arg, reveal_type(x1) # N: Revealed type is "builtins.int" reveal_type(y1) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(z1) # N: Revealed type is "builtins.str" x2, *y2, z2 = 1, *arg, 2 reveal_type(x2) # N: Revealed type is "builtins.int" reveal_type(y2) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(z2) # N: Revealed type is "builtins.int" x3, *y3 = *arg, 42 reveal_type(x3) # N: Revealed type is "builtins.int" reveal_type(y3) # N: Revealed type is "builtins.list[builtins.object]" *y4, z4 = 42, *arg reveal_type(y4) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(z4) # N: Revealed type is "builtins.str" x5, xx5, *y5, z5, zz5 = 1, *arg, 2 reveal_type(x5) # N: Revealed type is "builtins.int" reveal_type(xx5) # N: Revealed type is "builtins.int" reveal_type(y5) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(z5) # N: Revealed type is "builtins.str" reveal_type(zz5) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testRepackingVariadicTuplesHomogeneous] from typing import Tuple from typing_extensions import Unpack def foo(arg: Tuple[int, Unpack[Tuple[float, ...]], str]) -> None: x1, *y1, z1 = *arg, reveal_type(x1) # N: Revealed type is "builtins.int" reveal_type(y1) # N: Revealed type is "builtins.list[builtins.float]" reveal_type(z1) # N: Revealed type is "builtins.str" x2, *y2, z2 = 1, *arg, 2 reveal_type(x2) # N: Revealed type is "builtins.int" reveal_type(y2) # N: Revealed type is "builtins.list[builtins.object]" reveal_type(z2) # N: Revealed type is "builtins.int" x3, *y3 = *arg, 42 reveal_type(x3) # N: Revealed type is "builtins.int" reveal_type(y3) # N: Revealed type is "builtins.list[builtins.object]" *y4, z4 = 42, *arg reveal_type(y4) # N: Revealed type is "builtins.list[builtins.float]" reveal_type(z4) # N: Revealed type is "builtins.str" x5, xx5, *y5, z5, zz5 = 1, *arg, 2 reveal_type(x5) # N: Revealed type is "builtins.int" reveal_type(xx5) # N: Revealed type is "builtins.int" reveal_type(y5) # N: Revealed type is "builtins.list[builtins.float]" reveal_type(z5) # N: Revealed type is "builtins.str" reveal_type(zz5) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testPackingVariadicTuplesTypeVar] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def foo(arg: Tuple[int, Unpack[Ts], str]) -> None: x = *arg, reveal_type(x) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str]" y = 1, *arg, 2 reveal_type(y) # N: Revealed type is "tuple[builtins.int, builtins.int, Unpack[Ts`-1], builtins.str, builtins.int]" z = (*arg, *arg) reveal_type(z) # N: Revealed type is "builtins.tuple[builtins.object, ...]" [builtins fixtures/tuple.pyi] [case testPackingVariadicTuplesHomogeneous] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple from typing_extensions import Unpack a: Tuple[float, ...] b: Tuple[int, Unpack[Tuple[float, ...]], str] x = *a, reveal_type(x) # N: Revealed type is "builtins.tuple[builtins.float, ...]" y = 1, *a, 2 reveal_type(y) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.int]" z = (*a, *a) reveal_type(z) # N: Revealed type is "builtins.tuple[builtins.float, ...]" x2 = *b, reveal_type(x2) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str]" y2 = 1, *b, 2 reveal_type(y2) # N: Revealed type is "tuple[builtins.int, builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.str, builtins.int]" z2 = (*b, *b) reveal_type(z2) # N: Revealed type is "builtins.tuple[builtins.object, ...]" [builtins fixtures/tuple.pyi] [case testVariadicTupleInListSetExpr] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack vt: Tuple[int, Unpack[Tuple[float, ...]], int] reveal_type([1, *vt]) # N: Revealed type is "builtins.list[builtins.float]" reveal_type({1, *vt}) # N: Revealed type is "builtins.set[builtins.float]" Ts = TypeVarTuple("Ts") def foo(arg: Tuple[int, Unpack[Ts], str]) -> None: reveal_type([1, *arg]) # N: Revealed type is "builtins.list[builtins.object]" reveal_type({1, *arg}) # N: Revealed type is "builtins.set[builtins.object]" [builtins fixtures/isinstancelist.pyi] [case testVariadicTupleInTupleContext] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple, Optional from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def test(x: Optional[Tuple[Unpack[Ts]]] = None) -> Tuple[Unpack[Ts]]: ... vt: Tuple[int, Unpack[Tuple[float, ...]], int] vt = 1, *test(), 2 # OK, type context is used vt2 = 1, *test(), 2 # E: Need type annotation for "vt2" [builtins fixtures/tuple.pyi] [case testVariadicTupleConcatenation] # flags: --enable-incomplete-feature=PreciseTupleTypes from typing import Tuple from typing_extensions import TypeVarTuple, Unpack vtf: Tuple[float, ...] vt: Tuple[int, Unpack[Tuple[float, ...]], int] reveal_type(vt + (1, 2)) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.int, Literal[1]?, Literal[2]?]" reveal_type((1, 2) + vt) # N: Revealed type is "tuple[Literal[1]?, Literal[2]?, builtins.int, Unpack[builtins.tuple[builtins.float, ...]], builtins.int]" reveal_type(vt + vt) # N: Revealed type is "builtins.tuple[Union[builtins.int, builtins.float], ...]" reveal_type(vtf + (1, 2)) # N: Revealed type is "tuple[Unpack[builtins.tuple[builtins.float, ...]], Literal[1]?, Literal[2]?]" reveal_type((1, 2) + vtf) # N: Revealed type is "tuple[Literal[1]?, Literal[2]?, Unpack[builtins.tuple[builtins.float, ...]]]" Ts = TypeVarTuple("Ts") def foo(arg: Tuple[int, Unpack[Ts], str]) -> None: reveal_type(arg + (1, 2)) # N: Revealed type is "tuple[builtins.int, Unpack[Ts`-1], builtins.str, Literal[1]?, Literal[2]?]" reveal_type((1, 2) + arg) # N: Revealed type is "tuple[Literal[1]?, Literal[2]?, builtins.int, Unpack[Ts`-1], builtins.str]" reveal_type(arg + arg) # N: Revealed type is "builtins.tuple[builtins.object, ...]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleAnyOverload] from typing import Any, Generic, overload, Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class Array(Generic[Unpack[Ts]]): ... class A: @overload def f(self, x: Tuple[Unpack[Ts]]) -> Array[Unpack[Ts]]: ... @overload def f(self, x: Any) -> Any: ... def f(self, x: Any) -> Any: ... [builtins fixtures/tuple.pyi] [case testTypeVarTupleInferAgainstAny] from typing import Any, Tuple, TypeVar from typing_extensions import Unpack T = TypeVar("T") def test(x: int, t: Tuple[T, ...]) -> Tuple[int, Unpack[Tuple[T, ...]]]: ... a: Any = test(42, ()) [builtins fixtures/tuple.pyi] [case testTypeVarTupleIndexTypeVar] from typing import Any, List, Sequence, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def f(data: Sequence[Tuple[Unpack[Ts]]]) -> List[Any]: return [d[0] for d in data] # E: Tuple index out of range \ # N: Variadic tuple can have length 0 T = TypeVar("T") def g(data: Sequence[Tuple[T, Unpack[Ts]]]) -> List[T]: return [d[0] for d in data] # OK [builtins fixtures/tuple.pyi] [case testTypeVarTupleOverloadMatch] from typing import Any, Generic, overload, Tuple, TypeVar from typing_extensions import TypeVarTuple, Unpack _Ts = TypeVarTuple("_Ts") _T = TypeVar("_T") _T2 = TypeVar("_T2") class Container(Generic[_T]): ... class Array(Generic[Unpack[_Ts]]): ... @overload def build(entity: Container[_T], /) -> Array[_T]: ... @overload def build(entity: Container[_T], entity2: Container[_T2], /) -> Array[_T, _T2]: ... @overload def build(*entities: Container[Any]) -> Array[Unpack[Tuple[Any, ...]]]: ... def build(*entities: Container[Any]) -> Array[Unpack[Tuple[Any, ...]]]: ... def test(a: Container[Any], b: Container[int], c: Container[str]): reveal_type(build(a, b)) # N: Revealed type is "__main__.Array[Any, builtins.int]" reveal_type(build(b, c)) # N: Revealed type is "__main__.Array[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleOverloadArbitraryLength] from typing import Any, Tuple, TypeVar, TypeVarTuple, Unpack, overload T = TypeVar("T") Ts = TypeVarTuple("Ts") @overload def add(self: Tuple[Unpack[Ts]], other: Tuple[T]) -> Tuple[Unpack[Ts], T]: ... @overload def add(self: Tuple[T, ...], other: Tuple[T, ...]) -> Tuple[T, ...]: ... def add(self: Any, other: Any) -> Any: ... def test(a: Tuple[int, str], b: Tuple[bool], c: Tuple[bool, ...]): reveal_type(add(a, b)) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.bool]" reveal_type(add(b, c)) # N: Revealed type is "builtins.tuple[builtins.bool, ...]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleOverloadOverlap] from typing import Union, overload, Tuple from typing_extensions import Unpack class Int(int): ... A = Tuple[int, Unpack[Tuple[int, ...]]] B = Tuple[int, Unpack[Tuple[str, ...]]] @overload def f(arg: A) -> int: ... @overload def f(arg: B) -> str: ... def f(arg: Union[A, B]) -> Union[int, str]: ... A1 = Tuple[int, Unpack[Tuple[Int, ...]]] B1 = Tuple[Unpack[Tuple[Int, ...]], int] @overload def f1(arg: A1) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f1(arg: B1) -> str: ... def f1(arg: Union[A1, B1]) -> Union[int, str]: ... A2 = Tuple[int, int, int] B2 = Tuple[int, Unpack[Tuple[int, ...]]] @overload def f2(arg: A2) -> int: ... # E: Overloaded function signatures 1 and 2 overlap with incompatible return types @overload def f2(arg: B2) -> str: ... def f2(arg: Union[A2, B2]) -> Union[int, str]: ... A3 = Tuple[int, int, int] B3 = Tuple[int, Unpack[Tuple[str, ...]]] @overload def f3(arg: A3) -> int: ... @overload def f3(arg: B3) -> str: ... def f3(arg: Union[A3, B3]) -> Union[int, str]: ... A4 = Tuple[int, int, Unpack[Tuple[int, ...]]] B4 = Tuple[int] @overload def f4(arg: A4) -> int: ... @overload def f4(arg: B4) -> str: ... def f4(arg: Union[A4, B4]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [case testTypeVarTupleIndexOldStyleNonNormalizedAndNonLiteral] from typing import Any, Tuple from typing_extensions import Unpack t: Tuple[Unpack[Tuple[int, ...]]] reveal_type(t[42]) # N: Revealed type is "builtins.int" i: int reveal_type(t[i]) # N: Revealed type is "builtins.int" t1: Tuple[int, Unpack[Tuple[int, ...]]] reveal_type(t1[i]) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testTypeVarTupleNotConcreteCallable] from typing_extensions import Unpack, TypeVarTuple from typing import Callable, TypeVar, Tuple T = TypeVar("T") Args = TypeVarTuple("Args") Args2 = TypeVarTuple("Args2") def submit(fn: Callable[[Unpack[Args]], T], *args: Unpack[Args]) -> T: ... def submit2(fn: Callable[[int, Unpack[Args]], T], *args: Unpack[Tuple[int, Unpack[Args]]]) -> T: ... def foo(func: Callable[[Unpack[Args]], T], *args: Unpack[Args]) -> T: return submit(func, *args) def foo2(func: Callable[[Unpack[Args2]], T], *args: Unpack[Args2]) -> T: return submit(func, *args) def foo3(func: Callable[[int, Unpack[Args2]], T], *args: Unpack[Args2]) -> T: return submit2(func, 1, *args) def foo_bad(func: Callable[[Unpack[Args2]], T], *args: Unpack[Args2]) -> T: return submit2(func, 1, *args) # E: Argument 1 to "submit2" has incompatible type "def (*Unpack[Args2]) -> T"; expected "def (int, /, *Unpack[Args2]) -> T" [builtins fixtures/tuple.pyi] [case testTypeVarTupleParamSpecInteraction] from typing_extensions import Unpack, TypeVarTuple, ParamSpec from typing import Callable, TypeVar T = TypeVar("T") Args = TypeVarTuple("Args") Args2 = TypeVarTuple("Args2") P = ParamSpec("P") def submit(fn: Callable[P, T], *args: P.args, **kwargs: P.kwargs) -> T: ... def foo(func: Callable[[Unpack[Args]], T], *args: Unpack[Args]) -> T: return submit(func, *args) def foo2(func: Callable[[Unpack[Args]], T], *args: Unpack[Args2]) -> T: return submit(func, *args) # E: Argument 2 to "submit" has incompatible type "*tuple[Unpack[Args2]]"; expected "Unpack[Args]" def foo3(func: Callable[[int, Unpack[Args2]], T], *args: Unpack[Args2]) -> T: return submit(func, 1, *args) [builtins fixtures/tuple.pyi] [case testTypeVarTupleEmptySpecialCase] from typing import Any, Callable, Generic from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") class MyClass(Generic[Unpack[Ts]]): func: Callable[[Unpack[Ts]], object] def __init__(self, func: Callable[[Unpack[Ts]], object]) -> None: self.func = func explicit: MyClass[()] reveal_type(explicit) # N: Revealed type is "__main__.MyClass[()]" reveal_type(explicit.func) # N: Revealed type is "def () -> builtins.object" a: Any explicit_2 = MyClass[()](a) reveal_type(explicit_2) # N: Revealed type is "__main__.MyClass[()]" reveal_type(explicit_2.func) # N: Revealed type is "def () -> builtins.object" Alias = MyClass[()] explicit_3: Alias reveal_type(explicit_3) # N: Revealed type is "__main__.MyClass[()]" reveal_type(explicit_3.func) # N: Revealed type is "def () -> builtins.object" explicit_4 = Alias(a) reveal_type(explicit_4) # N: Revealed type is "__main__.MyClass[()]" reveal_type(explicit_4.func) # N: Revealed type is "def () -> builtins.object" def no_args() -> None: ... implicit = MyClass(no_args) reveal_type(implicit) # N: Revealed type is "__main__.MyClass[()]" reveal_type(implicit.func) # N: Revealed type is "def () -> builtins.object" def one_arg(__a: int) -> None: ... x = MyClass(one_arg) x = explicit # E: Incompatible types in assignment (expression has type "MyClass[()]", variable has type "MyClass[int]") # Consistently handle special case for no argument aliases Direct = MyClass y = Direct(one_arg) reveal_type(y) # N: Revealed type is "__main__.MyClass[builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleRuntimeTypeApplication] from typing import Generic, TypeVar, Tuple from typing_extensions import Unpack, TypeVarTuple T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") class C(Generic[T, Unpack[Ts], S]): ... Ints = Tuple[int, int] x = C[Unpack[Ints]]() reveal_type(x) # N: Revealed type is "__main__.C[builtins.int, builtins.int]" y = C[Unpack[Tuple[int, ...]]]() reveal_type(y) # N: Revealed type is "__main__.C[builtins.int, Unpack[builtins.tuple[builtins.int, ...]], builtins.int]" z = C[int]() # E: Bad number of arguments, expected: at least 2, given: 1 reveal_type(z) # N: Revealed type is "__main__.C[Any, Unpack[builtins.tuple[Any, ...]], Any]" [builtins fixtures/tuple.pyi] [case testVariadicTupleTupleSubclassPrefixSuffix] from typing import Tuple from typing_extensions import Unpack i: int class A(Tuple[int, Unpack[Tuple[int, ...]]]): ... a: A reveal_type(a[i]) # N: Revealed type is "builtins.int" class B(Tuple[Unpack[Tuple[int, ...]], int]): ... b: B reveal_type(b[i]) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testVariadicClassSubclassInit] from typing import Tuple, Generic, TypeVar from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): def __init__(self, x: Tuple[Unpack[Ts]], *args: Unpack[Ts]) -> None: ... reveal_type(B) # N: Revealed type is "def [Ts] (x: tuple[Unpack[Ts`1]], *args: Unpack[Ts`1]) -> __main__.B[Unpack[Ts`1]]" T = TypeVar("T") S = TypeVar("S") class C(B[T, S]): ... reveal_type(C) # N: Revealed type is "def [T, S] (x: tuple[T`1, S`2], T`1, S`2) -> __main__.C[T`1, S`2]" [builtins fixtures/tuple.pyi] [case testVariadicClassGenericSelf] from typing import Tuple, Generic, TypeVar from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") S = TypeVar("S") Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): def copy(self: T) -> T: ... def on_pair(self: B[T, S]) -> Tuple[T, S]: ... b1: B[int] reveal_type(b1.on_pair()) # E: Invalid self argument "B[int]" to attribute function "on_pair" with type "Callable[[B[T, S]], tuple[T, S]]" \ # N: Revealed type is "tuple[Never, Never]" b2: B[int, str] reveal_type(b2.on_pair()) # N: Revealed type is "tuple[builtins.int, builtins.str]" b3: B[int, str, int] reveal_type(b3.on_pair()) # E: Invalid self argument "B[int, str, int]" to attribute function "on_pair" with type "Callable[[B[T, S]], tuple[T, S]]" \ # N: Revealed type is "tuple[Never, Never]" class C(B[T, S]): ... c: C[int, str] reveal_type(c.copy()) # N: Revealed type is "__main__.C[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testVariadicClassNewStyleSelf] from typing import Generic, TypeVar, Self from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class B(Generic[Unpack[Ts]]): next: Self def copy(self) -> Self: return self.next b: B[int, str, int] reveal_type(b.next) # N: Revealed type is "__main__.B[builtins.int, builtins.str, builtins.int]" reveal_type(b.copy()) # N: Revealed type is "__main__.B[builtins.int, builtins.str, builtins.int]" reveal_type(B.copy(b)) # N: Revealed type is "__main__.B[builtins.int, builtins.str, builtins.int]" T = TypeVar("T") S = TypeVar("S") class C(B[T, S]): ... c: C[int, str] reveal_type(c.next) # N: Revealed type is "__main__.C[builtins.int, builtins.str]" reveal_type(c.copy()) # N: Revealed type is "__main__.C[builtins.int, builtins.str]" reveal_type(C.copy(c)) # N: Revealed type is "__main__.C[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testVariadicTupleDataclass] from dataclasses import dataclass from typing import Generic, TypeVar, Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") @dataclass class B(Generic[Unpack[Ts]]): items: Tuple[Unpack[Ts]] reveal_type(B) # N: Revealed type is "def [Ts] (items: tuple[Unpack[Ts`1]]) -> __main__.B[Unpack[Ts`1]]" b = B((1, "yes")) reveal_type(b.items) # N: Revealed type is "tuple[builtins.int, builtins.str]" T = TypeVar("T") S = TypeVar("S") @dataclass class C(B[T, S]): first: T second: S reveal_type(C) # N: Revealed type is "def [T, S] (items: tuple[T`1, S`2], first: T`1, second: S`2) -> __main__.C[T`1, S`2]" c = C((1, "yes"), 2, "no") reveal_type(c.items) # N: Revealed type is "tuple[builtins.int, builtins.str]" reveal_type(c.first) # N: Revealed type is "builtins.int" reveal_type(c.second) # N: Revealed type is "builtins.str" [builtins fixtures/dataclasses.pyi] [typing fixtures/typing-medium.pyi] [case testVariadicTupleInProtocol] from typing import Protocol, Tuple, List from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class P(Protocol[Unpack[Ts]]): def items(self) -> Tuple[Unpack[Ts]]: ... class PC(Protocol[Unpack[Ts]]): def meth(self, *args: Unpack[Ts]) -> None: ... def get_items(x: P[Unpack[Ts]]) -> Tuple[Unpack[Ts]]: ... def match(x: PC[Unpack[Ts]]) -> Tuple[Unpack[Ts]]: ... class Bad: def items(self) -> List[int]: ... def meth(self, *, named: int) -> None: ... class Good: def items(self) -> Tuple[int, str]: ... def meth(self, __x: int, y: str) -> None: ... g: Good reveal_type(get_items(g)) # N: Revealed type is "tuple[builtins.int, builtins.str]" reveal_type(match(g)) # N: Revealed type is "tuple[builtins.int, builtins.str]" b: Bad get_items(b) # E: Argument 1 to "get_items" has incompatible type "Bad"; expected "P[Unpack[tuple[Never, ...]]]" \ # N: Following member(s) of "Bad" have conflicts: \ # N: Expected: \ # N: def items(self) -> tuple[Never, ...] \ # N: Got: \ # N: def items(self) -> list[int] match(b) # E: Argument 1 to "match" has incompatible type "Bad"; expected "PC[Unpack[tuple[Never, ...]]]" \ # N: Following member(s) of "Bad" have conflicts: \ # N: Expected: \ # N: def meth(self, *args: Never) -> None \ # N: Got: \ # N: def meth(self, *, named: int) -> None [builtins fixtures/tuple.pyi] [case testVariadicTupleCollectionCheck] from typing import Tuple, Optional from typing_extensions import Unpack allowed: Tuple[int, Unpack[Tuple[int, ...]]] x: Optional[int] if x in allowed: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testJoinOfVariadicTupleCallablesNoCrash] from typing import Callable, Tuple f: Callable[[int, *Tuple[str, ...], int], None] g: Callable[[int, *Tuple[str, ...], int], None] reveal_type([f, g]) # N: Revealed type is "builtins.list[def (builtins.int, *Unpack[tuple[Unpack[builtins.tuple[builtins.str, ...]], builtins.int]])]" h: Callable[[int, *Tuple[str, ...], str], None] reveal_type([f, h]) # N: Revealed type is "builtins.list[def (builtins.int, *Unpack[tuple[Unpack[builtins.tuple[builtins.str, ...]], Never]])]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleBothUnpacksSimple] from typing import Tuple, TypedDict from typing_extensions import Unpack, TypeVarTuple class Keywords(TypedDict): a: str b: str Ints = Tuple[int, ...] def f(*args: Unpack[Ints], other: str = "no", **kwargs: Unpack[Keywords]) -> None: ... reveal_type(f) # N: Revealed type is "def (*args: builtins.int, other: builtins.str =, **kwargs: Unpack[TypedDict('__main__.Keywords', {'a': builtins.str, 'b': builtins.str})])" f(1, 2, a="a", b="b") # OK f(1, 2, 3) # E: Missing named argument "a" for "f" \ # E: Missing named argument "b" for "f" Ts = TypeVarTuple("Ts") def g(*args: Unpack[Ts], other: str = "no", **kwargs: Unpack[Keywords]) -> None: ... reveal_type(g) # N: Revealed type is "def [Ts] (*args: Unpack[Ts`-1], other: builtins.str =, **kwargs: Unpack[TypedDict('__main__.Keywords', {'a': builtins.str, 'b': builtins.str})])" g(1, 2, a="a", b="b") # OK g(1, 2, 3) # E: Missing named argument "a" for "g" \ # E: Missing named argument "b" for "g" def bad( *args: Unpack[Keywords], # E: "Keywords" cannot be unpacked (must be tuple or TypeVarTuple) **kwargs: Unpack[Ints], # E: Unpack item in ** argument must be a TypedDict ) -> None: ... reveal_type(bad) # N: Revealed type is "def (*args: Any, **kwargs: Any)" def bad2( one: int, *args: Unpack[Keywords], # E: "Keywords" cannot be unpacked (must be tuple or TypeVarTuple) other: str = "no", **kwargs: Unpack[Ints], # E: Unpack item in ** argument must be a TypedDict ) -> None: ... reveal_type(bad2) # N: Revealed type is "def (one: builtins.int, *args: Any, other: builtins.str =, **kwargs: Any)" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypeVarTupleBothUnpacksCallable] from typing import Callable, Tuple, TypedDict from typing_extensions import Unpack class Keywords(TypedDict): a: str b: str Ints = Tuple[int, ...] cb: Callable[[Unpack[Ints], Unpack[Keywords]], None] reveal_type(cb) # N: Revealed type is "def (*builtins.int, **Unpack[TypedDict('__main__.Keywords', {'a': builtins.str, 'b': builtins.str})])" cb2: Callable[[int, Unpack[Ints], int, Unpack[Keywords]], None] reveal_type(cb2) # N: Revealed type is "def (builtins.int, *Unpack[tuple[Unpack[builtins.tuple[builtins.int, ...]], builtins.int]], **Unpack[TypedDict('__main__.Keywords', {'a': builtins.str, 'b': builtins.str})])" cb2(1, 2, 3, a="a", b="b") cb2(1, a="a", b="b") # E: Too few arguments cb2(1, 2, 3, a="a") # E: Missing named argument "b" bad1: Callable[[Unpack[Ints], Unpack[Ints]], None] # E: More than one variadic Unpack in a type is not allowed reveal_type(bad1) # N: Revealed type is "def (*builtins.int)" bad2: Callable[[Unpack[Keywords], Unpack[Keywords]], None] # E: "Keywords" cannot be unpacked (must be tuple or TypeVarTuple) reveal_type(bad2) # N: Revealed type is "def (*Any, **Unpack[TypedDict('__main__.Keywords', {'a': builtins.str, 'b': builtins.str})])" bad3: Callable[[Unpack[Keywords], Unpack[Ints]], None] # E: "Keywords" cannot be unpacked (must be tuple or TypeVarTuple) \ # E: More than one variadic Unpack in a type is not allowed reveal_type(bad3) # N: Revealed type is "def (*Any)" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypeVarTupleBothUnpacksApplication] from typing import Callable, TypedDict, TypeVar, Optional from typing_extensions import Unpack, TypeVarTuple class Keywords(TypedDict): a: str b: str T = TypeVar("T") Ts = TypeVarTuple("Ts") def test( x: int, func: Callable[[Unpack[Ts]], T], *args: Unpack[Ts], other: Optional[str] = None, **kwargs: Unpack[Keywords], ) -> T: if bool(): func(*args, **kwargs) # E: Extra argument "a" from **args return func(*args) def test2( x: int, func: Callable[[Unpack[Ts], Unpack[Keywords]], T], *args: Unpack[Ts], other: Optional[str] = None, **kwargs: Unpack[Keywords], ) -> T: if bool(): func(*args) # E: Missing named argument "a" \ # E: Missing named argument "b" return func(*args, **kwargs) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackTupleSpecialCaseNoCrash] from typing import Tuple, TypeVar from typing_extensions import Unpack T = TypeVar("T") def foo(*x: object) -> None: ... def bar(*x: int) -> None: ... def baz(*x: T) -> T: ... keys: Tuple[Unpack[Tuple[int, ...]]] foo(keys, 1) foo(*keys, 1) bar(keys, 1) # E: Argument 1 to "bar" has incompatible type "tuple[Unpack[tuple[int, ...]]]"; expected "int" bar(*keys, 1) # OK reveal_type(baz(keys, 1)) # N: Revealed type is "builtins.object" reveal_type(baz(*keys, 1)) # N: Revealed type is "builtins.int" [builtins fixtures/tuple.pyi] [case testVariadicTupleContextNoCrash] from typing import Tuple, Unpack x: Tuple[int, Unpack[Tuple[int, ...]]] = () # E: Incompatible types in assignment (expression has type "tuple[()]", variable has type "tuple[int, Unpack[tuple[int, ...]]]") y: Tuple[int, Unpack[Tuple[int, ...]]] = (1, 2) z: Tuple[int, Unpack[Tuple[int, ...]]] = (1,) w: Tuple[int, Unpack[Tuple[int, ...]]] = (1, *[2, 3, 4]) t: Tuple[int, Unpack[Tuple[int, ...]]] = (1, *(2, 3, 4)) [builtins fixtures/tuple.pyi] [case testAliasToCallableWithUnpack] from typing import Any, Callable, Tuple, Unpack _CallableValue = Callable[[Unpack[Tuple[Any, ...]]], Any] def higher_order(f: _CallableValue) -> None: ... def good1(*args: int) -> None: ... def good2(*args: str) -> int: ... # These are special-cased for *args: Any (as opposite to *args: object) def ok1(a: str, b: int, /) -> None: ... def ok2(c: bytes, *args: int) -> str: ... def bad1(*, d: str) -> int: ... def bad2(**kwargs: None) -> None: ... higher_order(good1) higher_order(good2) higher_order(ok1) higher_order(ok2) higher_order(bad1) # E: Argument 1 to "higher_order" has incompatible type "def bad1(*, d: str) -> int"; expected "def (*Any) -> Any" higher_order(bad2) # E: Argument 1 to "higher_order" has incompatible type "def bad2(**kwargs: None) -> None"; expected "def (*Any) -> Any" [builtins fixtures/tuple.pyi] [case testAliasToCallableWithUnpack2] from typing import Any, Callable, Tuple, Unpack _CallableValue = Callable[[int, str, Unpack[Tuple[Any, ...]], int], Any] def higher_order(f: _CallableValue) -> None: ... def good(a: int, b: str, *args: Unpack[Tuple[Unpack[Tuple[Any, ...]], int]]) -> int: ... def bad1(a: str, b: int, /) -> None: ... def bad2(c: bytes, *args: int) -> str: ... def bad3(*, d: str) -> int: ... def bad4(**kwargs: None) -> None: ... higher_order(good) higher_order(bad1) # E: Argument 1 to "higher_order" has incompatible type "Callable[[str, int], None]"; expected "def (int, str, /, *Unpack[tuple[Unpack[tuple[Any, ...]], int]]) -> Any" higher_order(bad2) # E: Argument 1 to "higher_order" has incompatible type "def bad2(c: bytes, *args: int) -> str"; expected "def (int, str, /, *Unpack[tuple[Unpack[tuple[Any, ...]], int]]) -> Any" higher_order(bad3) # E: Argument 1 to "higher_order" has incompatible type "def bad3(*, d: str) -> int"; expected "def (int, str, /, *Unpack[tuple[Unpack[tuple[Any, ...]], int]]) -> Any" higher_order(bad4) # E: Argument 1 to "higher_order" has incompatible type "def bad4(**kwargs: None) -> None"; expected "def (int, str, /, *Unpack[tuple[Unpack[tuple[Any, ...]], int]]) -> Any" [builtins fixtures/tuple.pyi] [case testAliasToCallableWithUnpackInvalid] from typing import Any, Callable, List, Tuple, TypeVar, Unpack T = TypeVar("T") Ts = TypeVarTuple("Ts") # E: Name "TypeVarTuple" is not defined def good(*x: int) -> int: ... def bad(*x: int, y: int) -> int: ... Alias = Callable[[Unpack[T]], int] # E: "T" cannot be unpacked (must be tuple or TypeVarTuple) x: Alias[int] reveal_type(x) # N: Revealed type is "def (*Any) -> builtins.int" x = good x = bad # E: Incompatible types in assignment (expression has type "def bad(*x: int, y: int) -> int", variable has type "def (*Any) -> int") [builtins fixtures/tuple.pyi] [case testTypeVarTupleInvariant] from typing import Generic, Tuple from typing_extensions import Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") class Array(Generic[Unpack[Ts]]): ... def pointwise_multiply(x: Array[Unpack[Ts]], y: Array[Unpack[Ts]]) -> Array[Unpack[Ts]]: ... def a1(x: Array[int], y: Array[str], z: Array[int, str]) -> None: reveal_type(pointwise_multiply(x, x)) # N: Revealed type is "__main__.Array[builtins.int]" reveal_type(pointwise_multiply(x, y)) # E: Cannot infer value of type parameter "Ts" of "pointwise_multiply" \ # N: Revealed type is "__main__.Array[Unpack[builtins.tuple[Any, ...]]]" reveal_type(pointwise_multiply(x, z)) # E: Cannot infer value of type parameter "Ts" of "pointwise_multiply" \ # N: Revealed type is "__main__.Array[Unpack[builtins.tuple[Any, ...]]]" def func(x: Array[Unpack[Ts]], *args: Unpack[Ts]) -> Tuple[Unpack[Ts]]: ... def a2(x: Array[int, str]) -> None: reveal_type(func(x, 2, "Hello")) # N: Revealed type is "tuple[builtins.int, builtins.str]" reveal_type(func(x, 2)) # E: Cannot infer value of type parameter "Ts" of "func" \ # N: Revealed type is "builtins.tuple[Any, ...]" reveal_type(func(x, 2, "Hello", True)) # E: Cannot infer value of type parameter "Ts" of "func" \ # N: Revealed type is "builtins.tuple[Any, ...]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleTypeApplicationOverload] from typing import Generic, TypeVar, TypeVarTuple, Unpack, overload, Callable T = TypeVar("T") T1 = TypeVar("T1") T2 = TypeVar("T2") T3 = TypeVar("T3") Ts = TypeVarTuple("Ts") class C(Generic[T, Unpack[Ts]]): @overload def __init__(self, f: Callable[[Unpack[Ts]], T]) -> None: ... @overload def __init__(self, f: Callable[[T1, T2, T3, Unpack[Ts]], T], a: T1, b: T2, c: T3) -> None: ... def __init__(self, f, *args, **kwargs) -> None: ... reveal_type(C[int, str]) # N: Revealed type is "Overload(def (f: def (builtins.str) -> builtins.int) -> __main__.C[builtins.int, builtins.str], def [T1, T2, T3] (f: def (T1`-1, T2`-2, T3`-3, builtins.str) -> builtins.int, a: T1`-1, b: T2`-2, c: T3`-3) -> __main__.C[builtins.int, builtins.str])" Alias = C[int, str] def f(x: int, y: int, z: int, t: int) -> str: ... x = C(f, 0, 0, "hm") # E: Argument 1 to "C" has incompatible type "Callable[[int, int, int, int], str]"; expected "Callable[[int, int, str, int], str]" reveal_type(x) # N: Revealed type is "__main__.C[builtins.str, builtins.int]" reveal_type(C(f)) # N: Revealed type is "__main__.C[builtins.str, builtins.int, builtins.int, builtins.int, builtins.int]" C[()] # E: At least 1 type argument(s) expected, none given [builtins fixtures/tuple.pyi] [case testTypeVarTupleAgainstParamSpecActualSuccess] from typing import Generic, TypeVar, TypeVarTuple, Unpack, Callable, Tuple, List from typing_extensions import ParamSpec R = TypeVar("R") P = ParamSpec("P") class CM(Generic[R]): ... def cm(fn: Callable[P, R]) -> Callable[P, CM[R]]: ... Ts = TypeVarTuple("Ts") @cm def test(*args: Unpack[Ts]) -> Tuple[Unpack[Ts]]: ... reveal_type(test) # N: Revealed type is "def [Ts] (*args: Unpack[Ts`-1]) -> __main__.CM[tuple[Unpack[Ts`-1]]]" reveal_type(test(1, 2, 3)) # N: Revealed type is "__main__.CM[tuple[Literal[1]?, Literal[2]?, Literal[3]?]]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleAgainstParamSpecActualFailedNoCrash] from typing import Generic, TypeVar, TypeVarTuple, Unpack, Callable, Tuple, List from typing_extensions import ParamSpec R = TypeVar("R") P = ParamSpec("P") class CM(Generic[R]): ... def cm(fn: Callable[P, List[R]]) -> Callable[P, CM[R]]: ... Ts = TypeVarTuple("Ts") @cm # E: Argument 1 to "cm" has incompatible type "def [Ts`-1] test(*args: Unpack[Ts]) -> tuple[Unpack[Ts]]"; expected "def (*args: Never) -> list[Never]" def test(*args: Unpack[Ts]) -> Tuple[Unpack[Ts]]: ... reveal_type(test) # N: Revealed type is "def (*args: Never) -> __main__.CM[Never]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleAgainstParamSpecActualPrefix] from typing import Generic, TypeVar, TypeVarTuple, Unpack, Callable, Tuple, List from typing_extensions import ParamSpec, Concatenate R = TypeVar("R") P = ParamSpec("P") T = TypeVar("T") class CM(Generic[R]): ... def cm(fn: Callable[Concatenate[T, P], R]) -> Callable[Concatenate[List[T], P], CM[R]]: ... Ts = TypeVarTuple("Ts") @cm def test(x: T, *args: Unpack[Ts]) -> Tuple[T, Unpack[Ts]]: ... reveal_type(test) # N: Revealed type is "def [T, Ts] (builtins.list[T`2], *args: Unpack[Ts`-2]) -> __main__.CM[tuple[T`2, Unpack[Ts`-2]]]" [builtins fixtures/tuple.pyi] [case testMixingTypeVarTupleAndParamSpec] from typing import Generic, ParamSpec, TypeVarTuple, Unpack, Callable, TypeVar P = ParamSpec("P") Ts = TypeVarTuple("Ts") class A(Generic[P, Unpack[Ts]]): ... class B(Generic[Unpack[Ts], P]): ... a: A[[int, str], int, str] reveal_type(a) # N: Revealed type is "__main__.A[[builtins.int, builtins.str], builtins.int, builtins.str]" b: B[int, str, [int, str]] reveal_type(b) # N: Revealed type is "__main__.B[builtins.int, builtins.str, [builtins.int, builtins.str]]" x: A[int, str, [int, str]] # E: Can only replace ParamSpec with a parameter types list or another ParamSpec, got "int" reveal_type(x) # N: Revealed type is "__main__.A[Any, Unpack[builtins.tuple[Any, ...]]]" y: B[[int, str], int, str] # E: Can only replace ParamSpec with a parameter types list or another ParamSpec, got "str" reveal_type(y) # N: Revealed type is "__main__.B[Unpack[builtins.tuple[Any, ...]], Any]" R = TypeVar("R") class C(Generic[P, R]): fn: Callable[P, None] c: C[int, str] # E: Can only replace ParamSpec with a parameter types list or another ParamSpec, got "int" reveal_type(c.fn) # N: Revealed type is "def (*Any, **Any)" [builtins fixtures/tuple.pyi] [case testTypeVarTupleInstanceOverlap] # flags: --strict-equality from typing import TypeVarTuple, Unpack, Generic Ts = TypeVarTuple("Ts") class Foo(Generic[Unpack[Ts]]): pass x1: Foo[Unpack[tuple[int, ...]]] y1: Foo[Unpack[tuple[str, ...]]] x1 is y1 # E: Non-overlapping identity check (left operand type: "Foo[Unpack[tuple[int, ...]]]", right operand type: "Foo[Unpack[tuple[str, ...]]]") x2: Foo[Unpack[tuple[int, ...]]] y2: Foo[Unpack[tuple[int, ...]]] x2 is y2 x3: Foo[Unpack[tuple[int, ...]]] y3: Foo[Unpack[tuple[int, int]]] x3 is y3 x4: Foo[Unpack[tuple[str, ...]]] y4: Foo[Unpack[tuple[int, int]]] x4 is y4 # E: Non-overlapping identity check (left operand type: "Foo[Unpack[tuple[str, ...]]]", right operand type: "Foo[int, int]") [builtins fixtures/tuple.pyi] [case testTypeVarTupleErasureNormalized] from typing import TypeVarTuple, Unpack, Generic, Union from collections.abc import Callable Args = TypeVarTuple("Args") class Built(Generic[Unpack[Args]]): pass def example( fn: Union[Built[Unpack[Args]], Callable[[Unpack[Args]], None]] ) -> Built[Unpack[Args]]: ... @example def command() -> None: return reveal_type(command) # N: Revealed type is "__main__.Built[()]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleSelfMappedPrefix] from typing import TypeVarTuple, Generic, Unpack Ts = TypeVarTuple("Ts") class Base(Generic[Unpack[Ts]]): attr: tuple[Unpack[Ts]] @property def prop(self) -> tuple[Unpack[Ts]]: return self.attr def meth(self) -> tuple[Unpack[Ts]]: return self.attr Ss = TypeVarTuple("Ss") class Derived(Base[str, Unpack[Ss]]): def test(self) -> None: reveal_type(self.attr) # N: Revealed type is "tuple[builtins.str, Unpack[Ss`1]]" reveal_type(self.prop) # N: Revealed type is "tuple[builtins.str, Unpack[Ss`1]]" reveal_type(self.meth()) # N: Revealed type is "tuple[builtins.str, Unpack[Ss`1]]" [builtins fixtures/property.pyi] [case testTypeVarTupleProtocolPrefix] from typing import Protocol, Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") class A(Protocol[Unpack[Ts]]): def f(self, z: str, *args: Unpack[Ts]) -> None: ... class C: def f(self, z: str, x: int) -> None: ... def f(x: A[Unpack[Ts]]) -> tuple[Unpack[Ts]]: ... reveal_type(f(C())) # N: Revealed type is "tuple[builtins.int]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleHomogeneousCallableNormalized] from typing import Generic, Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): def foo(self, *args: Unpack[Ts]) -> None: ... c: C[Unpack[tuple[int, ...]]] reveal_type(c.foo) # N: Revealed type is "def (*args: builtins.int)" [builtins fixtures/tuple.pyi] [case testTypeVarTupleJoinInstanceTypeVar] from typing import Any, Unpack, TypeVarTuple, TypeVar T = TypeVar("T") Ts = TypeVarTuple("Ts") def join(x: T, y: T) -> T: ... def test(xs: tuple[Unpack[Ts]], xsi: tuple[int, Unpack[Ts]]) -> None: a: tuple[Any, ...] reveal_type(join(xs, a)) # N: Revealed type is "builtins.tuple[Any, ...]" reveal_type(join(a, xs)) # N: Revealed type is "builtins.tuple[Any, ...]" aa: tuple[Unpack[tuple[Any, ...]]] reveal_type(join(xs, aa)) # N: Revealed type is "builtins.tuple[Any, ...]" reveal_type(join(aa, xs)) # N: Revealed type is "builtins.tuple[Any, ...]" ai: tuple[int, Unpack[tuple[Any, ...]]] reveal_type(join(xsi, ai)) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[Any, ...]]]" reveal_type(join(ai, xsi)) # N: Revealed type is "tuple[builtins.int, Unpack[builtins.tuple[Any, ...]]]" [builtins fixtures/tuple.pyi] [case testTypeVarTupleInferAgainstAnyCallableSuffix] from typing import Any, Callable, TypeVar, TypeVarTuple Ts = TypeVarTuple("Ts") R = TypeVar("R") def deco(func: Callable[[*Ts, int], R]) -> Callable[[*Ts], R]: ... untyped: Any reveal_type(deco(untyped)) # N: Revealed type is "def (*Any) -> Any" [builtins fixtures/tuple.pyi] [case testNoCrashOnNonNormalUnpackInCallable] from typing import Callable, Unpack, TypeVar T = TypeVar("T") def fn(f: Callable[[*tuple[T]], int]) -> Callable[[*tuple[T]], int]: ... def test(*args: Unpack[tuple[T]]) -> int: ... reveal_type(fn(test)) # N: Revealed type is "def [T] (T`1) -> builtins.int" [builtins fixtures/tuple.pyi] [case testNoGenericTypeVarTupleClassVarAccess] from typing import Generic, Tuple, TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): x: Tuple[Unpack[Ts]] reveal_type(C.x) # E: Access to generic instance variables via class is ambiguous \ # N: Revealed type is "builtins.tuple[Any, ...]" class Bad(C[int, int]): pass reveal_type(Bad.x) # E: Access to generic instance variables via class is ambiguous \ # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(Bad().x) # N: Revealed type is "tuple[builtins.int, builtins.int]" class Good(C[int, int]): x = (1, 1) reveal_type(Good.x) # N: Revealed type is "tuple[builtins.int, builtins.int]" reveal_type(Good().x) # N: Revealed type is "tuple[builtins.int, builtins.int]" [builtins fixtures/tuple.pyi] [case testConstraintsIncludeTupleFallback] from typing import Generic, TypeVar from typing_extensions import TypeVarTuple, Unpack T = TypeVar("T") Ts = TypeVarTuple("Ts") _FT = TypeVar("_FT", bound=type) def identity(smth: _FT) -> _FT: return smth @identity class S(tuple[Unpack[Ts]], Generic[T, Unpack[Ts]]): def f(self, x: T, /) -> T: ... [builtins fixtures/tuple.pyi] [case testNoCrashSubclassingTupleWithTrivialUnpack] # https://github.com/python/mypy/issues/19105 from typing import Unpack class A(tuple[Unpack[tuple[int]]]): ... class B(tuple[Unpack[tuple[()]]]): ... a: A reveal_type(tuple(a)) # N: Revealed type is "builtins.tuple[builtins.int, ...]" (x,) = a b: B (_,) = b # E: Need more than 0 values to unpack (1 expected) [builtins fixtures/tuple.pyi] [case testNoCrashSubclassingTupleWithVariadicUnpack] # https://github.com/python/mypy/issues/19105 from typing import Unpack class A(tuple[Unpack[tuple[int, ...]]]): ... a: A tuple(a) (x,) = a (_,) = a [builtins fixtures/tuple.pyi] [case testNoCrashOnUndefinedUnpackInBase] from typing import TypeVarTuple, Generic, Unpack Ts = TypeVarTuple("Ts") class MyTuple(tuple[Unpack[TsWithTypo]], Generic[Unpack[Ts]]): # E: Name "TsWithTypo" is not defined ... x: MyTuple[int, str] reveal_type(x[0]) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [case testNoCrashOnInvalidUnpackInBase] from typing import TypeVarTuple, Generic, Unpack, Union Ts = TypeVarTuple("Ts") class MyTuple(tuple[Unpack[Union[int, str]]], Generic[Unpack[Ts]]): # E: "Union[int, str]" cannot be unpacked (must be tuple or TypeVarTuple) ... x: MyTuple[int, str] reveal_type(x[0]) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-typevar-unbound.test0000644000175100017510000000523615112307767022250 0ustar00runnerrunner[case testUnboundTypeVar] from typing import TypeVar T = TypeVar('T') def f() -> T: # E: A function returning TypeVar should receive at least one argument containing the same TypeVar ... f() U = TypeVar('U', bound=int) def g() -> U: # E: A function returning TypeVar should receive at least one argument containing the same TypeVar \ # N: Consider using the upper bound "int" instead ... V = TypeVar('V', int, str) def h() -> V: # E: A function returning TypeVar should receive at least one argument containing the same TypeVar ... [case testInnerFunctionTypeVar] from typing import TypeVar T = TypeVar('T') def g(a: T) -> T: def f() -> T: ... return f() [case testUnboundIterableOfTypeVars] from typing import Iterable, TypeVar T = TypeVar('T') def f() -> Iterable[T]: ... f() [case testBoundTypeVar] from typing import TypeVar T = TypeVar('T') def f(a: T, b: T, c: int) -> T: ... [case testNestedBoundTypeVar] from typing import Callable, List, Union, Tuple, TypeVar T = TypeVar('T') def f(a: Union[int, T], b: str) -> T: ... def g(a: Callable[..., T], b: str) -> T: ... def h(a: List[Union[Callable[..., T]]]) -> T: ... def j(a: List[Union[Callable[..., Tuple[T, T]], int]]) -> T: ... [builtins fixtures/tuple.pyi] [case testUnboundedTypevarUnpacking] from typing import TypeVar T = TypeVar("T") def f(t: T) -> None: a, *b = t # E: "object" object is not iterable [case testTypeVarType] from typing import Mapping, Type, TypeVar, Union T = TypeVar("T") class A: ... class B: ... lookup_table: Mapping[str, Type[Union[A,B]]] def load(lookup_table: Mapping[str, Type[T]], lookup_key: str) -> T: ... reveal_type(load(lookup_table, "a")) # N: Revealed type is "Union[__main__.A, __main__.B]" lookup_table_a: Mapping[str, Type[A]] def load2(lookup_table: Mapping[str, Type[Union[T, int]]], lookup_key: str) -> T: ... reveal_type(load2(lookup_table_a, "a")) # N: Revealed type is "__main__.A" [builtins fixtures/tuple.pyi] [case testTypeVarTypeAssignment] # Adapted from https://github.com/python/mypy/issues/12115 from typing import TypeVar, Type, Callable, Union, Any t1: Type[bool] = bool t2: Union[Type[bool], Type[str]] = bool T1 = TypeVar("T1", bound=Union[bool, str]) def foo1(t: Type[T1]) -> None: ... foo1(t1) foo1(t2) T2 = TypeVar("T2", bool, str) def foo2(t: Type[T2]) -> None: ... foo2(t1) # Rejected correctly: T2 cannot be Union[bool, str] foo2(t2) # E: Value of type variable "T2" of "foo2" cannot be "Union[bool, str]" T3 = TypeVar("T3") def foo3(t: Type[T3]) -> None: ... foo3(t1) foo3(t2) def foo4(t: Type[Union[bool, str]]) -> None: ... foo4(t1) foo4(t2) [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-typevar-values.test0000644000175100017510000004713015112307767022074 0ustar00runnerrunner-- Test cases for type variables with values restriction. [case testCallGenericFunctionWithTypeVarValueRestriction] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> None: pass f(1) f('x') f(object()) # E: Value of type variable "T" of "f" cannot be "object" [case testCallGenericFunctionWithTypeVarValueRestrictionUsingContext] from typing import TypeVar, List T = TypeVar('T', int, str) def f(x: T) -> List[T]: pass i = [1] s = ['x'] o = [object()] if int(): i = f(1) s = f('') o = f(1) \ # E: Incompatible types in assignment (expression has type "list[int]", variable has type "list[object]") \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant [builtins fixtures/list.pyi] [case testCallGenericFunctionWithTypeVarValueRestrictionAndAnyArgs] from typing import TypeVar, Any, cast T = TypeVar('T', int, str) def f(x: T) -> None: pass f(cast(Any, object())) [out] [case testCallGenericFunctionWithTypeVarValueRestrictionInDynamicFunc] from typing import TypeVar, Any T = TypeVar('T', int, str) def f(x: T) -> None: pass def g(): f(object()) [out] [case testCallGenericFunctionWithTypeVarValueRestrictionUsingSubtype] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> None: pass class S(str): pass f(S()) [out] [case testCheckGenericFunctionBodyWithTypeVarValues] from typing import TypeVar class A: def f(self, x: int) -> A: return self class B: def f(self, x: int) -> B: return self AB = TypeVar('AB', A, B) def f(x: AB) -> AB: x = x.f(1) return x.f(1) [case testCheckGenericFunctionBodyWithTypeVarValues2] from typing import TypeVar class A: def f(self) -> A: return A() def g(self) -> B: return B() class B: def f(self) -> A: return A() def g(self) -> B: return B() AB = TypeVar('AB', A, B) def f(x: AB) -> AB: return x.f() # Error def g(x: AB) -> AB: return x.g() # Error [out] main:10: error: Incompatible return value type (got "A", expected "B") main:12: error: Incompatible return value type (got "B", expected "A") [case testTypeInferenceAndTypeVarValues] from typing import TypeVar class A: def f(self) -> A: return self def g(self) -> B: return B() class B: def f(self) -> B: return self def g(self) -> B: return B() AB = TypeVar('AB', A, B) def f(x: AB) -> AB: y = x if y: return y.f() else: return y.g() # E: Incompatible return value type (got "B", expected "A") [out] [case testTypeDeclaredBasedOnTypeVarWithValues] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> T: a: T b: T if 1: a = x b = x a = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") b = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") return x [out] [case testIsinstanceAndTypeVarValues] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> T: if isinstance(x, int): return 2 return x def g(x: T) -> T: if isinstance(x, str): return '' return x def h(x: T) -> T: if isinstance(x, int): return '' # E: Incompatible return value type (got "str", expected "int") return x [builtins fixtures/isinstance.pyi] [out] [case testIsinstanceAndTypeVarValues2] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> T: if isinstance(x, int): return 2 else: return '' def g(x: T) -> T: if isinstance(x, int): return '' # E: Incompatible return value type (got "str", expected "int") else: return 2 # E: Incompatible return value type (got "int", expected "str") return x [builtins fixtures/isinstance.pyi] [out] [case testIsinstanceAndTypeVarValues3] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> T: if isinstance(x, int): y = 1 else: y = '' return y [builtins fixtures/isinstance.pyi] [case testIsinstanceAndTypeVarValues4] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> T: if isinstance(x, int): y = 1 else: y = object() return y # E: Incompatible return value type (got "object", expected "str") [builtins fixtures/isinstance.pyi] [out] [case testIsinstanceAndTypeVarValues5] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> T: if isinstance(x, int): y = object() else: y = '' return y # E: Incompatible return value type (got "object", expected "int") [builtins fixtures/isinstance.pyi] [out] [case testIsinstanceWithUserDefinedTypeAndTypeVarValues] # flags: --warn-unreachable from typing import TypeVar class A: pass class B: pass T1 = TypeVar('T1', A, B) def f1(x: T1) -> None: y = x if isinstance(x, A): x = y x = A() # E: Incompatible types in assignment (expression has type "A", variable has type "B") else: x = B() x = y x.foo() # E: "B" has no attribute "foo" class C: field: int class D: field: str T2 = TypeVar('T2', C, D) def f2(x: T2) -> None: y = x if isinstance(x, C): # C and D are non-overlapping, so this branch is never checked x = y x = C() else: x = D() x = y x.foo() # E: "D" has no attribute "foo" S = TypeVar('S', int, str) def g(x: S) -> None: y = x if isinstance(x, int): x = y [builtins fixtures/isinstance.pyi] [out] [case testIsinstanceWithUserDefinedTypeAndTypeVarValues2] from typing import TypeVar class S(str): pass T = TypeVar('T', S, int) def f(x: T) -> None: y = x if isinstance(x, S): # This is checked only when type of x is str. x = y x = S() x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "S") else: x = y x = 1 x = S() # E: Incompatible types in assignment (expression has type "S", variable has type "int") [builtins fixtures/isinstance.pyi] [out] [case testTypeVarValuesAndNestedCalls] from typing import TypeVar T = TypeVar('T', int, str) def f(m: T) -> int: pass def h(x: int) -> int: pass def g(a: T) -> None: h(f(a)) [out] [case testGenericTypeWithTypevarValues] from typing import TypeVar, Generic, Any X = TypeVar('X', int, str) class A(Generic[X]): pass a: A[int] b: A[str] d: A[object] # E: Value of type variable "X" of "A" cannot be "object" c: A[Any] [case testConstructGenericTypeWithTypevarValuesAndTypeInference] from typing import TypeVar, Generic, Any, cast X = TypeVar('X', int, str) class A(Generic[X]): def __init__(self, x: X) -> None: pass A(1) A('x') A(cast(Any, object())) A(object()) # E: Value of type variable "X" of "A" cannot be "object" [case testGenericTypeWithTypevarValuesAndTypevarArgument] from typing import TypeVar, Generic class C: pass X = TypeVar('X', int, str) Y = TypeVar('Y', int, C) Z = TypeVar('Z') class D(Generic[X]): def __init__(self, x: X) -> None: pass def f(x: X) -> None: a: D[X] def g(x: Y) -> None: a: D[Y] def h(x: Z) -> None: a: D[Z] [out] main:11: error: Invalid type argument value for "D" main:13: error: Type variable "Z" not valid as type argument value for "D" [case testGenericTypeWithTypevarValuesAndSubtypePromotion] from typing import TypeVar, Generic X = TypeVar('X', int, str) class S(str): pass class C(Generic[X]): def __init__(self, x: X) -> None: pass x: C[str] y = C(S()) if int(): x = y y = x c_int = C(1) # type: C[int] if int(): y = c_int # E: Incompatible types in assignment (expression has type "C[int]", variable has type "C[str]") [case testGenericTypeBodyWithTypevarValues] from typing import TypeVar, Generic class A: def f(self, x: int) -> None: pass def g(self, x: int) -> None: pass def h(self, x: str) -> None: pass class B: def f(self, x: int) -> None: pass def g(self, x: str) -> None: pass def h(self, x: int) -> None: pass X = TypeVar('X', A, B) class C(Generic[X]): def f(self, x: X) -> None: x.f(1) x.g(1) # E: Argument 1 to "g" of "B" has incompatible type "int"; expected "str" x.h(1) # E: Argument 1 to "h" of "A" has incompatible type "int"; expected "str" [out] [case testAttributeInGenericTypeWithTypevarValues1] from typing import TypeVar, Generic X = TypeVar('X', int, str) class C(Generic[X]): x = None # type: X def f(self, x: X) -> None: self.x = x self.x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [out] [case testAttributeInGenericTypeWithTypevarValues2] from typing import TypeVar, Generic X = TypeVar('X', int, str) class C(Generic[X]): x = None # type: X cn = C() # type: C[int] cn.x = 1 cn.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") cs = C() # type: C[str] cs.x = '' cs.x = 1 # E: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAttributeInGenericTypeWithTypevarValues3] from typing import TypeVar, Generic X = TypeVar('X', int, str) class C(Generic[X]): def f(self, x: X) -> None: self.x = x # type: X ci: C[int] cs: C[str] reveal_type(ci.x) # N: Revealed type is "builtins.int" reveal_type(cs.x) # N: Revealed type is "builtins.str" [case testAttributeInGenericTypeWithTypevarValuesUsingInference1] from typing import TypeVar, Generic X = TypeVar('X', int, str) class C(Generic[X]): def f(self, x: X) -> None: self.x = x # E: Need type annotation for "x" ci: C[int] cs: C[str] reveal_type(ci.x) # N: Revealed type is "Any" reveal_type(cs.x) # N: Revealed type is "Any" [case testAttributeInGenericTypeWithTypevarValuesUsingInference2] from typing import TypeVar, Generic X = TypeVar('X', int, str) class C(Generic[X]): def f(self, x: X) -> None: self.x = 1 reveal_type(self.x) # N: Revealed type is "builtins.int" ci: C[int] cs: C[str] reveal_type(ci.x) # N: Revealed type is "builtins.int" reveal_type(cs.x) # N: Revealed type is "builtins.int" [case testAttributeInGenericTypeWithTypevarValuesUsingInference3] from typing import TypeVar, Generic X = TypeVar('X', int, str) class C(Generic[X]): x: X def f(self) -> None: self.y = self.x # E: Need type annotation for "y" ci: C[int] cs: C[str] reveal_type(ci.y) # N: Revealed type is "Any" reveal_type(cs.y) # N: Revealed type is "Any" [case testInferredAttributeInGenericClassBodyWithTypevarValues] from typing import TypeVar, Generic X = TypeVar('X', int, str) class C(Generic[X]): x = 1 C.x = 1 C.x = '' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testMultipleClassTypevarsWithValues1] from typing import TypeVar, Generic class A: def f(self, x: int) -> None: pass class B: def f(self, x: str) -> None: pass X = TypeVar('X', A, B) Y = TypeVar('Y', int, str) class C(Generic[X, Y]): def f(self, x: X, y: Y) -> None: x.f(y) [out] main:10: error: Argument 1 to "f" of "A" has incompatible type "str"; expected "int" main:10: error: Argument 1 to "f" of "B" has incompatible type "int"; expected "str" [case testMultipleClassTypevarsWithValues2] from typing import TypeVar, Generic class A: pass class B: pass X = TypeVar('X', A, B) Y = TypeVar('Y', int, str) class C(Generic[X, Y]): pass a: C[A, int] b: C[B, str] c: C[int, int] # E: Value of type variable "X" of "C" cannot be "int" d: C[A, A] # E: Value of type variable "Y" of "C" cannot be "A" [case testCallGenericFunctionUsingMultipleTypevarsWithValues] from typing import TypeVar class A: pass class B: pass X = TypeVar('X', A, B) Y = TypeVar('Y', int, str) def f(x: X, y: Y) -> None: pass f(A(), '') f(B(), 1) f(A(), A()) # E: Value of type variable "Y" of "f" cannot be "A" f(1, 1) # E: Value of type variable "X" of "f" cannot be "int" [case testGenericFunctionWithNormalAndRestrictedTypevar] from typing import TypeVar, Generic X = TypeVar('X') Y = TypeVar('Y', int, str) class C(Generic[Y]): def __init__(self, y: Y) -> None: pass def f(x: X, y: Y, z: int) -> None: C(y) C(x) # Error if int(): z = x # Error z = y # Error y.foo # Error [out] main:8: error: Value of type variable "Y" of "C" cannot be "X" main:10: error: Incompatible types in assignment (expression has type "X", variable has type "int") main:11: error: Incompatible types in assignment (expression has type "str", variable has type "int") main:12: error: "int" has no attribute "foo" main:12: error: "str" has no attribute "foo" [case testTypeVarWithValueInferredFromObjectReturnTypeContext] from typing import TypeVar T = TypeVar('T', int, str) def c1(x: object) -> None: pass def c2(x: int) -> None: pass def c3(x: str) -> None: pass def g(x: T) -> T: pass c1(g('')) c2(g(1)) c3(g('')) c2(g('')) # E: Argument 1 to "c2" has incompatible type "str"; expected "int" c3(g(1)) # E: Argument 1 to "c3" has incompatible type "int"; expected "str" [case testTypeVarWithValueInferredFromObjectReturnTypeContext2] from typing import TypeVar T = TypeVar('T', int, str) class ss(str): pass def c(x: ss) -> None: pass def g(x: T) -> T: pass c(g('')) c(g(1)) [out] main:6: error: Argument 1 to "c" has incompatible type "str"; expected "ss" main:7: error: Argument 1 to "c" has incompatible type "int"; expected "ss" [case testDefineAttributeInGenericMethodUsingTypeVarWithValues] from typing import TypeVar T = TypeVar('T', int, str) class A: def f(self, x: T) -> None: self.x = x # E: Need type annotation for "x" self.y = [x] # E: Need type annotation for "y" self.z = 1 reveal_type(A().x) # N: Revealed type is "Any" reveal_type(A().y) # N: Revealed type is "Any" reveal_type(A().z) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] -- Special cases -- ------------- [case testTypevarValuesSpecialCase1] from typing import TypeVar, Generic from abc import abstractmethod T = TypeVar('T', int, str) class A(Generic[T]): @abstractmethod def f(self) -> 'A[T]': pass class B(A[str]): @abstractmethod def f(self) -> 'B': pass class C(A[str]): @abstractmethod def f(self) -> int: # E: Return type "int" of "f" incompatible with return type "A[str]" in supertype "A" pass [out] [case testDefaultArgumentValueInGenericClassWithTypevarValues] from typing import TypeVar, Generic T = TypeVar('T', int, str) class C(Generic[T]): def f(self, x: int = 2) -> None: pass [case testTypevarValuesWithOverloadedFunctionSpecialCase] from foo import * [file foo.pyi] from typing import TypeVar, overload, Callable T = TypeVar('T', int, str) def f(x: T) -> None: y = m(g, x) if int(): x = y y = object() # Error A = TypeVar('A') R = TypeVar('R') def m(f: Callable[[A], R], it: A) -> A: pass @overload def g(x: int) -> int: return x @overload def g(x: str) -> str: return x [out] tmp/foo.pyi:8: error: Incompatible types in assignment (expression has type "object", variable has type "int") tmp/foo.pyi:8: error: Incompatible types in assignment (expression has type "object", variable has type "str") [case testGenericFunctionSubtypingWithTypevarValues] from typing import TypeVar class A: pass T = TypeVar('T', int, str) U = TypeVar('U', str, A, int) def f(x: T) -> T: pass def g(x: U) -> U: pass a = f if int(): a = f if int(): a = g b = g if int(): b = g if int(): b = f # E: Incompatible types in assignment (expression has type "Callable[[T], T]", variable has type "Callable[[U], U]") [case testInnerFunctionWithTypevarValues] from typing import TypeVar T = TypeVar('T', int, str) U = TypeVar('U', int, str) def outer(x: T) -> T: def inner(y: T) -> T: return x def inner2(y: U) -> U: return y inner(x) inner(3) # E: Argument 1 to "inner" has incompatible type "int"; expected "str" inner2(x) inner2(3) outer(3) return x [out] [case testInnerFunctionMutualRecursionWithTypevarValues] from typing import TypeVar T = TypeVar('T', int, str) def outer(x: T) -> T: def inner1(y: T) -> T: return inner2(y) def inner2(y: T) -> T: return inner1('a') # E: Argument 1 to "inner1" has incompatible type "str"; expected "int" return inner1(x) [out] [case testClassMemberTypeVarInFunctionBody] from typing import TypeVar, List S = TypeVar('S') class C: T = TypeVar('T', bound=int) def f(self, x: T) -> T: L = List[S] y: L[C.T] = [x] reveal_type(C.T) # N: Revealed type is "typing.TypeVar" return y[0] [builtins fixtures/list.pyi] [typing fixtures/typing-full.pyi] [case testTypeVarWithAnyTypeBound] # flags: --follow-imports=skip from typing import Type, TypeVar from a import A T = TypeVar('T', bound=A) def method(t: Type[T]) -> None: t.a [file a.py] class A: a: int = 7 [out] [case testParameterLessGenericAsRestriction] from typing import Sequence, Iterable, TypeVar S = TypeVar('S', Sequence, Iterable) def my_len(s: S) -> None: pass def crash() -> None: my_len((0,)) [builtins fixtures/tuple.pyi] [case testReferenceToDecoratedFunctionAndTypeVarValues] from typing import TypeVar, Callable T = TypeVar('T') S = TypeVar('S', int, str) def dec(f: Callable[..., T]) -> Callable[..., T]: ... @dec def g(s: S) -> Callable[[S], None]: ... def f(x: S) -> None: h = g(x) h(x) [case testTypeVarWithTypedDictBoundInIndexExpression] from typing import TypedDict, TypeVar class Data(TypedDict): x: int T = TypeVar("T", bound=Data) def f(data: T) -> None: reveal_type(data["x"]) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypeVarWithUnionTypedDictBoundInIndexExpression] from typing import TypedDict, TypeVar, Union, Dict class Data(TypedDict): x: int T = TypeVar("T", bound=Union[Data, Dict[str, str]]) def f(data: T) -> None: reveal_type(data["x"]) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testTypeVarWithTypedDictValueInIndexExpression] from typing import TypedDict, TypeVar, Union, Dict class Data(TypedDict): x: int T = TypeVar("T", Data, Dict[str, str]) def f(data: T) -> None: _: Union[str, int] = data["x"] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testSelfTypeVarIndexExpr] from typing import TypedDict, TypeVar, Union, Type T = TypeVar("T", bound="Indexable") class Indexable: def __init__(self, index: str) -> None: self.index = index def __getitem__(self: T, index: str) -> T: return self._new_instance(index) @classmethod def _new_instance(cls: Type[T], index: str) -> T: return cls("foo") def m(self: T) -> T: return self["foo"] [builtins fixtures/classmethod.pyi] [typing fixtures/typing-full.pyi] [case testTypeVarWithValueDeferral] from typing import TypeVar, Callable T = TypeVar("T", "A", "B") Func = Callable[[], T] class A: ... class B: ... [case testTypeCommentInGenericTypeWithConstrainedTypeVar] from typing import Generic, TypeVar NT = TypeVar("NT", int, float) class Foo1(Generic[NT]): p = 1 # type: int class Foo2(Generic[NT]): p, q = 1, 2.0 # type: (int, float) class Foo3(Generic[NT]): def bar(self) -> None: p = 1 # type: int class Foo4(Generic[NT]): def bar(self) -> None: p, q = 1, 2.0 # type: (int, float) def foo3(x: NT) -> None: p = 1 # type: int def foo4(x: NT) -> None: p, q = 1, 2.0 # type: (int, float) [builtins fixtures/tuple.pyi] [case testTypeVarValuesNarrowing] from typing import TypeVar W = TypeVar("W", int, str) def fn(w: W) -> W: if type(w) is str: reveal_type(w) # N: Revealed type is "builtins.str" elif type(w) is int: reveal_type(w) # N: Revealed type is "builtins.int" return w [builtins fixtures/isinstance.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-underscores.test0000644000175100017510000000027415112307767021437 0ustar00runnerrunner[case testUnderscoresBasics] x: int x = 1000_000 x = 0x_FF_FF_FF_FF y: str = 1000_000.000_001 # E: Incompatible types in assignment (expression has type "float", variable has type "str") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-union-error-syntax.test0000644000175100017510000000632015112307767022704 0ustar00runnerrunner[case testUnionErrorSyntax] # flags: --python-version 3.10 --no-force-union-syntax from typing import Union x : Union[bool, str] x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "bool | str") [case testOrErrorSyntax] # flags: --python-version 3.10 --force-union-syntax from typing import Union x : Union[bool, str] x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "Union[bool, str]") [case testOrNoneErrorSyntax] # flags: --python-version 3.10 --no-force-union-syntax from typing import Union x : Union[bool, None] x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "bool | None") [case testOptionalErrorSyntax] # flags: --python-version 3.10 --force-union-syntax from typing import Union x : Union[bool, None] x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "Optional[bool]") [case testNoneAsFinalItem] # flags: --python-version 3.10 --no-force-union-syntax from typing import Union x : Union[bool, None, str] x = 3 # E: Incompatible types in assignment (expression has type "int", variable has type "bool | str | None") [case testLiteralOrErrorSyntax] # flags: --python-version 3.10 --no-force-union-syntax from typing import Literal, Union x : Union[Literal[1], Literal[2], str] x = 3 # E: Incompatible types in assignment (expression has type "Literal[3]", variable has type "Literal[1, 2] | str") [builtins fixtures/tuple.pyi] [case testLiteralUnionErrorSyntax] # flags: --python-version 3.10 --force-union-syntax from typing import Literal, Union x : Union[Literal[1], Literal[2], str] x = 3 # E: Incompatible types in assignment (expression has type "Literal[3]", variable has type "Union[str, Literal[1, 2]]") [builtins fixtures/tuple.pyi] [case testLiteralOrNoneErrorSyntax] # flags: --python-version 3.10 --no-force-union-syntax from typing import Literal, Union x : Union[Literal[1], None] x = 3 # E: Incompatible types in assignment (expression has type "Literal[3]", variable has type "Literal[1] | None") [builtins fixtures/tuple.pyi] [case testLiteralOptionalErrorSyntax] # flags: --python-version 3.10 --force-union-syntax from typing import Literal, Union x : Union[Literal[1], None] x = 3 # E: Incompatible types in assignment (expression has type "Literal[3]", variable has type "Optional[Literal[1]]") [builtins fixtures/tuple.pyi] [case testUnionSyntaxRecombined] # flags: --python-version 3.10 --force-union-syntax --allow-redefinition-new --local-partial-types # The following revealed type is recombined because the finally body is visited twice. try: x = 1 x = "" x = {1: ""} finally: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.dict[builtins.int, builtins.str]]" [builtins fixtures/isinstancelist.pyi] [case testOrSyntaxRecombined] # flags: --python-version 3.10 --no-force-union-syntax --allow-redefinition-new --local-partial-types # The following revealed type is recombined because the finally body is visited twice. try: x = 1 x = "" x = {1: ""} finally: reveal_type(x) # N: Revealed type is "builtins.int | builtins.str | builtins.dict[builtins.int, builtins.str]" [builtins fixtures/isinstancelist.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-union-or-syntax.test0000644000175100017510000002074715112307767022204 0ustar00runnerrunner-- Type checking of union types with '|' syntax [case testUnionOrSyntaxWithTwoBuiltinsTypes] # flags: --python-version 3.10 from __future__ import annotations def f(x: int | str) -> int | str: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" z: int | str = 0 reveal_type(z) # N: Revealed type is "Union[builtins.int, builtins.str]" return x reveal_type(f) # N: Revealed type is "def (x: Union[builtins.int, builtins.str]) -> Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testUnionOrSyntaxWithThreeBuiltinsTypes] # flags: --python-version 3.10 def f(x: int | str | float) -> int | str | float: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.float]" z: int | str | float = 0 reveal_type(z) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.float]" return x reveal_type(f) # N: Revealed type is "def (x: Union[builtins.int, builtins.str, builtins.float]) -> Union[builtins.int, builtins.str, builtins.float]" [case testUnionOrSyntaxWithTwoTypes] # flags: --python-version 3.10 class A: pass class B: pass def f(x: A | B) -> A | B: reveal_type(x) # N: Revealed type is "Union[__main__.A, __main__.B]" z: A | B = A() reveal_type(z) # N: Revealed type is "Union[__main__.A, __main__.B]" return x reveal_type(f) # N: Revealed type is "def (x: Union[__main__.A, __main__.B]) -> Union[__main__.A, __main__.B]" [case testUnionOrSyntaxWithThreeTypes] # flags: --python-version 3.10 class A: pass class B: pass class C: pass def f(x: A | B | C) -> A | B | C: reveal_type(x) # N: Revealed type is "Union[__main__.A, __main__.B, __main__.C]" z: A | B | C = A() reveal_type(z) # N: Revealed type is "Union[__main__.A, __main__.B, __main__.C]" return x reveal_type(f) # N: Revealed type is "def (x: Union[__main__.A, __main__.B, __main__.C]) -> Union[__main__.A, __main__.B, __main__.C]" [case testUnionOrSyntaxWithLiteral] # flags: --python-version 3.10 from typing import Literal reveal_type(Literal[4] | str) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testUnionOrSyntaxWithBadOperator] # flags: --python-version 3.10 x: 1 + 2 # E: Invalid type comment or annotation [case testUnionOrSyntaxWithBadOperands] # flags: --python-version 3.10 x: int | 42 # E: Invalid type: try using Literal[42] instead? y: 42 | int # E: Invalid type: try using Literal[42] instead? z: str | 42 | int # E: Invalid type: try using Literal[42] instead? [case testUnionOrSyntaxWithGenerics] # flags: --python-version 3.10 from typing import List x: List[int | str] reveal_type(x) # N: Revealed type is "builtins.list[Union[builtins.int, builtins.str]]" [builtins fixtures/list.pyi] [case testUnionOrSyntaxWithQuotedFunctionTypes] from typing import Union def f(x: 'Union[int, str, None]') -> 'Union[int, None]': reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" return 42 reveal_type(f) # N: Revealed type is "def (x: Union[builtins.int, builtins.str, None]) -> Union[builtins.int, None]" def g(x: "int | str | None") -> "int | None": reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, None]" return 42 reveal_type(g) # N: Revealed type is "def (x: Union[builtins.int, builtins.str, None]) -> Union[builtins.int, None]" [case testUnionOrSyntaxWithQuotedVariableTypes] y: "int | str" = 42 reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testUnionOrSyntaxWithTypeAliasWorking] # flags: --python-version 3.10 T = int | str x: T reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" S = list[int] | str | None y: S reveal_type(y) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.str, None]" U = str | None z: U reveal_type(z) # N: Revealed type is "Union[builtins.str, None]" def f(): pass X = int | str | f() b: X # E: Variable "__main__.X" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [builtins fixtures/type.pyi] [case testUnionOrSyntaxWithinRuntimeContextNotAllowed] # flags: --python-version 3.9 from __future__ import annotations from typing import List T = int | str # E: Invalid type alias: expression is not a valid type \ # E: Unsupported left operand type for | ("type[int]") class C(List[int | str]): # E: Type expected within [...] \ # E: Invalid base class "List" pass C() [builtins fixtures/tuple.pyi] [case testUnionOrSyntaxWithinRuntimeContextNotAllowed2] # flags: --python-version 3.9 from __future__ import annotations from typing import cast cast(str | int, 'x') # E: Cast target is not a type [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testUnionOrSyntaxInComment] x = 1 # type: int | str [case testUnionOrSyntaxFutureImport] from __future__ import annotations x: int | None [builtins fixtures/tuple.pyi] [case testUnionOrSyntaxMissingFutureImport] # flags: --python-version 3.9 x: int | None # E: X | Y syntax for unions requires Python 3.10 [case testUnionOrSyntaxInStubFile] from lib import x [file lib.pyi] x: int | None [case testUnionOrSyntaxInMiscRuntimeContexts] # flags: --python-version 3.10 from typing import cast class C(list[int | None]): pass def f() -> object: pass reveal_type(cast(str | None, f())) # N: Revealed type is "Union[builtins.str, None]" reveal_type(list[str | None]()) # N: Revealed type is "builtins.list[Union[builtins.str, None]]" [builtins fixtures/type.pyi] [case testUnionOrSyntaxRuntimeContextInStubFile] import lib reveal_type(lib.x) # N: Revealed type is "Union[builtins.int, builtins.list[builtins.str], None]" reveal_type(lib.y) # N: Revealed type is "builtins.list[Union[builtins.int, None]]" [file lib.pyi] A = int | list[str] | None x: A B = list[int | None] y: B class C(list[int | None]): pass [builtins fixtures/list.pyi] [case testUnionOrSyntaxInIsinstance] # flags: --python-version 3.10 class C: pass def f(x: int | str | C) -> None: if isinstance(x, int | str): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(x) # N: Revealed type is "__main__.C" def g(x: int | str | tuple[int, str] | C) -> None: if isinstance(x, int | str | tuple): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, tuple[builtins.int, builtins.str]]" else: reveal_type(x) # N: Revealed type is "__main__.C" [builtins fixtures/isinstance_python3_10.pyi] [case testUnionOrSyntaxInIsinstanceNotSupported] from typing import Union def f(x: Union[int, str, None]) -> None: if isinstance(x, int | str): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(x) # N: Revealed type is "None" [builtins fixtures/isinstance.pyi] [case testImplicit604TypeAliasWithCyclicImportInStub] # flags: --python-version 3.10 from was_builtins import foo reveal_type(foo) # N: Revealed type is "Union[builtins.str, was_mmap.mmap]" [file was_builtins.pyi] import was_mmap WriteableBuffer = was_mmap.mmap ReadableBuffer = str | WriteableBuffer foo: ReadableBuffer [file was_mmap.pyi] from was_builtins import * class mmap: ... [builtins fixtures/type.pyi] [case testTypeAliasWithNewUnionIsInstance] # flags: --python-version 3.10 SimpleAlias = int | str def foo(x: int | str | tuple): if isinstance(x, SimpleAlias): reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" else: reveal_type(x) # N: Revealed type is "builtins.tuple[Any, ...]" ParameterizedAlias = str | list[str] # these are false negatives: isinstance(5, str | list[str]) isinstance(5, ParameterizedAlias) [builtins fixtures/type.pyi] [case testIsInstanceUnionNone] # flags: --python-version 3.10 def foo(value: str | bool | None): assert not isinstance(value, str | None) reveal_type(value) # N: Revealed type is "builtins.bool" def bar(value: object): assert isinstance(value, str | None) reveal_type(value) # N: Revealed type is "Union[builtins.str, None]" [builtins fixtures/type.pyi] # TODO: Get this test to pass [case testImplicit604TypeAliasWithCyclicImportNotInStub-xfail] # flags: --python-version 3.10 from was_builtins import foo reveal_type(foo) # N: Revealed type is "Union[builtins.str, was_mmap.mmap]" [file was_builtins.py] import was_mmap WriteableBuffer = was_mmap.mmap ReadableBuffer = str | WriteableBuffer foo: ReadableBuffer [file was_mmap.py] from was_builtins import * class mmap: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-unions.test0000644000175100017510000012423115112307767020416 0ustar00runnerrunner-- Type checking of union types [case testUnion1] from typing import Union def f(x: Union[int, str]) -> None: if isinstance(x, int): y = 1 y = x elif isinstance(x, str): z = 'a' z = x [builtins fixtures/isinstance.pyi] [case testUnion2] from typing import Union def f(x: Union[int, str]) -> None: if isinstance(x, int): y = 1 y = x else: z = 'a' z = x [builtins fixtures/isinstance.pyi] [case testUnion3] from typing import Union def f(x: Union[int, str]) -> None: if isinstance(x, int): y = 1 if int(): y = x else: z = 2 if int(): z = x # E: Incompatible types in assignment (expression has type "str", variable has type "int") [builtins fixtures/isinstance.pyi] [out] [case testUnionAnyIsInstance] from typing import Any, Union def func(v: Union[int, Any]) -> None: if isinstance(v, int): reveal_type(v) # N: Revealed type is "builtins.int" else: reveal_type(v) # N: Revealed type is "Any" [builtins fixtures/isinstance.pyi] [out] [case testUnionAttributeAccess] from typing import Union class A: y = 1 class B: y = 2 class C: pass class D: pass u: Union[A, C, D] v: Union[C, D] w: Union[A, B] x: Union[A, C] y: int z: str if int(): y = w.y v.y # E: Item "C" of "Union[C, D]" has no attribute "y" \ # E: Item "D" of "Union[C, D]" has no attribute "y" u.y # E: Item "C" of "Union[A, C, D]" has no attribute "y" \ # E: Item "D" of "Union[A, C, D]" has no attribute "y" if int(): z = w.y # E: Incompatible types in assignment (expression has type "int", variable has type "str") w.y = 'a' # E: Incompatible types in assignment (expression has type "str", variable has type "int") if int(): y = x.y # E: Item "C" of "Union[A, C]" has no attribute "y" zz = x.y # E: Item "C" of "Union[A, C]" has no attribute "y" if int(): z = zz # E: Incompatible types in assignment (expression has type "Union[int, Any]", variable has type "str") [builtins fixtures/isinstance.pyi] [case testUnionMethodCalls] from typing import Union class A: def foo(self) -> int: pass class B: def foo(self) -> int: pass class C: def foo(self) -> str: pass x: Union[A, B] y: Union[A, C] i: int x.foo() y.foo() i = x.foo() if int(): i = y.foo() # E: Incompatible types in assignment (expression has type "Union[int, str]", variable has type "int") [builtins fixtures/isinstance.pyi] [case testUnionIndexing] from typing import Union, List x: Union[List[int], str] x[2] x[2] + 1 # E: Unsupported operand types for + ("str" and "int") \ # N: Left operand is of type "Union[int, str]" [builtins fixtures/isinstancelist.pyi] [case testUnionAsOverloadArg] from foo import * x = 0 if int(): x = f(1) if int(): x = f('') s = '' if int(): s = f(int) if int(): s = f(1) # E: Incompatible types in assignment (expression has type "int", variable has type "str") if int(): x = f(int) # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file foo.pyi] from typing import Union, overload @overload def f(x: Union[int, str]) -> int: pass @overload def f(x: type) -> str: pass [case testUnionWithNoneItem] # flags: --no-strict-optional from typing import Union def f() -> Union[int, None]: pass x = 1 x = f() [case testUnionWithEllipsis] from typing import Union def f(x: Union[int, EllipsisType]) -> int: if x is Ellipsis: reveal_type(x) # N: Revealed type is "builtins.ellipsis" x = 1 reveal_type(x) # N: Revealed type is "builtins.int" return x [builtins fixtures/isinstancelist.pyi] [case testOptional] from typing import Optional def f(x: Optional[int]) -> None: pass f(1) f(None) f('') # E: Argument 1 to "f" has incompatible type "str"; expected "Optional[int]" [case testUnionWithNoReturn] from typing import Union, NoReturn def f() -> Union[int, NoReturn]: ... reveal_type(f()) # N: Revealed type is "builtins.int" [case testUnionSimplificationGenericFunction] from typing import TypeVar, Union, List T = TypeVar('T') def f(x: List[T]) -> Union[T, int]: pass def g(y: str) -> None: pass a = f([1]) g(a) # E: Argument 1 to "g" has incompatible type "int"; expected "str" [builtins fixtures/list.pyi] [case testUnionSimplificationGenericClass] from typing import TypeVar, Union, Generic T = TypeVar('T') U = TypeVar('U') class C(Generic[T, U]): def f(self, x: str) -> Union[T, U]: pass a = C() # type: C[int, int] b = a.f('a') a.f(b) # E: Argument 1 to "f" of "C" has incompatible type "int"; expected "str" [case testUnionOrderEquivalence] from typing import Union def foo(): pass S = str T = int if foo(): def f(x: Union[int, str]) -> None: pass elif foo(): def f(x: Union[str, int]) -> None: pass elif foo(): def f(x: Union[int, str, int, int, str]) -> None: pass elif foo(): def f(x: Union[int, str, float]) -> None: pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(x: Union[int, str]) -> None \ # N: Redefinition: \ # N: def f(x: Union[int, str, float]) -> None elif foo(): def f(x: Union[S, T]) -> None: pass elif foo(): def f(x: Union[str]) -> None: pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def f(x: Union[int, str]) -> None \ # N: Redefinition: \ # N: def f(x: str) -> None else: def f(x: Union[Union[int, T], Union[S, T], str]) -> None: pass # Checks bidirectionality of testing. The first definition of g is consistent with # the second, but not vice-versa. if foo(): def g(x: Union[int, str, bytes]) -> None: pass else: def g(x: Union[int, str]) -> None: pass # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def g(x: Union[int, str, bytes]) -> None \ # N: Redefinition: \ # N: def g(x: Union[int, str]) -> None [case testUnionSimplificationSpecialCases] # flags: --no-strict-optional from typing import Any, TypeVar, Union class C(Any): pass T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass a = None # type: Any reveal_type(u(C(), None)) # N: Revealed type is "__main__.C" reveal_type(u(None, C())) # N: Revealed type is "__main__.C" reveal_type(u(C(), a)) # N: Revealed type is "Union[Any, __main__.C]" reveal_type(u(a, C())) # N: Revealed type is "Union[__main__.C, Any]" reveal_type(u(C(), C())) # N: Revealed type is "__main__.C" reveal_type(u(a, a)) # N: Revealed type is "Any" [case testUnionSimplificationSpecialCase2] from typing import Any, TypeVar, Union class C(Any): pass T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass def f(x: T) -> None: reveal_type(u(C(), x)) # N: Revealed type is "Union[T`-1, __main__.C]" reveal_type(u(x, C())) # N: Revealed type is "Union[__main__.C, T`-1]" [case testUnionSimplificationSpecialCase3] from typing import Any, TypeVar, Generic, Union class C(Any): pass V = TypeVar('V') T = TypeVar('T') class M(Generic[V]): def get(self, default: T) -> Union[V, T]: ... def f(x: M[C]) -> None: y = x.get(None) reveal_type(y) # N: Revealed type is "Union[__main__.C, None]" [case testUnionSimplificationSpecialCases2] # flags: --no-strict-optional from typing import Any, TypeVar, Union class C(Any): pass T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass a = None # type: Any # Base-class-Any and None, simplify reveal_type(u(C(), None)) # N: Revealed type is "__main__.C" reveal_type(u(None, C())) # N: Revealed type is "__main__.C" # Normal instance type and None, simplify reveal_type(u(1, None)) # N: Revealed type is "builtins.int" reveal_type(u(None, 1)) # N: Revealed type is "builtins.int" # Normal instance type and base-class-Any, no simplification reveal_type(u(C(), 1)) # N: Revealed type is "Union[builtins.int, __main__.C]" reveal_type(u(1, C())) # N: Revealed type is "Union[__main__.C, builtins.int]" # Normal instance type and Any, no simplification reveal_type(u(1, a)) # N: Revealed type is "Union[Any, builtins.int]" reveal_type(u(a, 1)) # N: Revealed type is "Union[builtins.int, Any]" # Any and base-class-Any, no simplification reveal_type(u(C(), a)) # N: Revealed type is "Union[Any, __main__.C]" reveal_type(u(a, C())) # N: Revealed type is "Union[__main__.C, Any]" # Two normal instance types, simplify reveal_type(u(1, object())) # N: Revealed type is "builtins.object" reveal_type(u(object(), 1)) # N: Revealed type is "builtins.object" # Two normal instance types, no simplification reveal_type(u(1, '')) # N: Revealed type is "Union[builtins.str, builtins.int]" reveal_type(u('', 1)) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testUnionSimplificationWithDuplicateItems] from typing import Any, TypeVar, Union class C(Any): pass T = TypeVar('T') S = TypeVar('S') R = TypeVar('R') def u(x: T, y: S, z: R) -> Union[R, S, T]: pass a: Any reveal_type(u(1, 1, 1)) # N: Revealed type is "builtins.int" reveal_type(u(C(), C(), None)) # N: Revealed type is "Union[None, __main__.C]" reveal_type(u(a, a, 1)) # N: Revealed type is "Union[builtins.int, Any]" reveal_type(u(a, C(), a)) # N: Revealed type is "Union[Any, __main__.C]" reveal_type(u('', 1, 1)) # N: Revealed type is "Union[builtins.int, builtins.str]" [case testUnionAndBinaryOperation] from typing import Union class A: pass def f(x: Union[int, str, A]): x + object() # E: Unsupported left operand type for + ("A") \ # N: Left operand is of type "Union[int, str, A]" \ # E: Unsupported operand types for + ("int" and "object") \ # E: Unsupported operand types for + ("str" and "object") [builtins fixtures/primitives.pyi] [case testNarrowingDownNamedTupleUnion] from typing import NamedTuple, Union A = NamedTuple('A', [('y', int)]) B = NamedTuple('B', [('x', int)]) C = NamedTuple('C', [('x', int)]) def foo(a: Union[A, B, C]): if isinstance(a, (B, C)): reveal_type(a) # N: Revealed type is "Union[tuple[builtins.int, fallback=__main__.B], tuple[builtins.int, fallback=__main__.C]]" a.x a.y # E: Item "B" of "Union[B, C]" has no attribute "y" \ # E: Item "C" of "Union[B, C]" has no attribute "y" b = a # type: Union[B, C] [builtins fixtures/isinstance.pyi] [case testSimplifyingUnionAndTypePromotions] from typing import TypeVar, Union T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[T, S]: pass reveal_type(u(1, 2.3)) # N: Revealed type is "Union[builtins.int, builtins.float]" reveal_type(u(2.3, 1)) # N: Revealed type is "Union[builtins.float, builtins.int]" reveal_type(u(False, 2.2)) # N: Revealed type is "Union[builtins.bool, builtins.float]" reveal_type(u(2.2, False)) # N: Revealed type is "Union[builtins.float, builtins.bool]" [builtins fixtures/primitives.pyi] [case testSimplifyingUnionWithTypeTypes1] from typing import TypeVar, Union, Type, Any T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass t_o: Type[object] t_s: Type[str] t_a: Type[Any] # Two identical items reveal_type(u(t_o, t_o)) # N: Revealed type is "type[builtins.object]" reveal_type(u(t_s, t_s)) # N: Revealed type is "type[builtins.str]" reveal_type(u(t_a, t_a)) # N: Revealed type is "type[Any]" reveal_type(u(type, type)) # N: Revealed type is "def (x: builtins.object) -> builtins.type" # One type, other non-type reveal_type(u(t_s, 1)) # N: Revealed type is "Union[builtins.int, type[builtins.str]]" reveal_type(u(1, t_s)) # N: Revealed type is "Union[type[builtins.str], builtins.int]" reveal_type(u(type, 1)) # N: Revealed type is "Union[builtins.int, def (x: builtins.object) -> builtins.type]" reveal_type(u(1, type)) # N: Revealed type is "Union[def (x: builtins.object) -> builtins.type, builtins.int]" reveal_type(u(t_a, 1)) # N: Revealed type is "Union[builtins.int, type[Any]]" reveal_type(u(1, t_a)) # N: Revealed type is "Union[type[Any], builtins.int]" reveal_type(u(t_o, 1)) # N: Revealed type is "Union[builtins.int, type[builtins.object]]" reveal_type(u(1, t_o)) # N: Revealed type is "Union[type[builtins.object], builtins.int]" [case testSimplifyingUnionWithTypeTypes2] from typing import TypeVar, Union, Type, Any T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass t_o: Type[object] t_s: Type[str] t_a: Type[Any] t: type # Union with object reveal_type(u(t_o, object())) # N: Revealed type is "builtins.object" reveal_type(u(object(), t_o)) # N: Revealed type is "builtins.object" reveal_type(u(t_s, object())) # N: Revealed type is "builtins.object" reveal_type(u(object(), t_s)) # N: Revealed type is "builtins.object" reveal_type(u(t_a, object())) # N: Revealed type is "builtins.object" reveal_type(u(object(), t_a)) # N: Revealed type is "builtins.object" # Union between type objects reveal_type(u(t_o, t_a)) # N: Revealed type is "Union[type[Any], type[builtins.object]]" reveal_type(u(t_a, t_o)) # N: Revealed type is "Union[type[builtins.object], type[Any]]" reveal_type(u(t_s, t_o)) # N: Revealed type is "type[builtins.object]" reveal_type(u(t_o, t_s)) # N: Revealed type is "type[builtins.object]" reveal_type(u(t_o, type)) # N: Revealed type is "type[builtins.object]" reveal_type(u(type, t_o)) # N: Revealed type is "type[builtins.object]" reveal_type(u(t_a, t)) # N: Revealed type is "builtins.type" reveal_type(u(t, t_a)) # N: Revealed type is "builtins.type" # The following should arguably not be simplified, but it's unclear how to fix then # without causing regressions elsewhere. reveal_type(u(t_o, t)) # N: Revealed type is "builtins.type" reveal_type(u(t, t_o)) # N: Revealed type is "builtins.type" [case testNotSimplifyingUnionWithMetaclass] from typing import TypeVar, Union, Type, Any class M(type): pass class M2(M): pass class A(metaclass=M): pass T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass a: Any t_a: Type[A] reveal_type(u(M(*a), t_a)) # N: Revealed type is "__main__.M" reveal_type(u(t_a, M(*a))) # N: Revealed type is "__main__.M" reveal_type(u(M2(*a), t_a)) # N: Revealed type is "Union[type[__main__.A], __main__.M2]" reveal_type(u(t_a, M2(*a))) # N: Revealed type is "Union[__main__.M2, type[__main__.A]]" [case testSimplifyUnionWithCallable] from typing import TypeVar, Union, Any, Callable T = TypeVar('T') S = TypeVar('S') def u(x: T, y: S) -> Union[S, T]: pass class C: pass class D(C): pass D_C: Callable[[D], C] A_C: Callable[[Any], C] D_A: Callable[[D], Any] C_C: Callable[[C], C] D_D: Callable[[D], D] i_C: Callable[[int], C] # TODO: Test argument names and kinds once we have flexible callable types. reveal_type(u(D_C, D_C)) # N: Revealed type is "def (__main__.D) -> __main__.C" reveal_type(u(A_C, D_C)) # N: Revealed type is "Union[def (__main__.D) -> __main__.C, def (Any) -> __main__.C]" reveal_type(u(D_C, A_C)) # N: Revealed type is "Union[def (Any) -> __main__.C, def (__main__.D) -> __main__.C]" reveal_type(u(D_A, D_C)) # N: Revealed type is "Union[def (__main__.D) -> __main__.C, def (__main__.D) -> Any]" reveal_type(u(D_C, D_A)) # N: Revealed type is "Union[def (__main__.D) -> Any, def (__main__.D) -> __main__.C]" reveal_type(u(D_C, C_C)) # N: Revealed type is "def (__main__.D) -> __main__.C" reveal_type(u(C_C, D_C)) # N: Revealed type is "def (__main__.D) -> __main__.C" reveal_type(u(D_C, D_D)) # N: Revealed type is "def (__main__.D) -> __main__.C" reveal_type(u(D_D, D_C)) # N: Revealed type is "def (__main__.D) -> __main__.C" reveal_type(u(D_C, i_C)) # N: Revealed type is "Union[def (builtins.int) -> __main__.C, def (__main__.D) -> __main__.C]" [case testUnionOperatorMethodSpecialCase] from typing import Union class C: def __le__(self, x: 'C') -> int: ... class D: def __le__(self, other) -> int: ... class E: def __ge__(self, other: Union[C, D]) -> int: ... [case testUnionSimplificationWithBoolIntAndFloat] from typing import List, Union l = reveal_type([]) # type: List[Union[bool, int, float]] \ # N: Revealed type is "builtins.list[Union[builtins.int, builtins.float]]" reveal_type(l) \ # N: Revealed type is "builtins.list[Union[builtins.bool, builtins.int, builtins.float]]" [builtins fixtures/list.pyi] [case testUnionSimplificationWithBoolIntAndFloat2] from typing import List, Union l = reveal_type([]) # type: List[Union[bool, int, float, str]] \ # N: Revealed type is "builtins.list[Union[builtins.int, builtins.float, builtins.str]]" reveal_type(l) \ # N: Revealed type is "builtins.list[Union[builtins.bool, builtins.int, builtins.float, builtins.str]]" [builtins fixtures/list.pyi] [case testNestedUnionsProcessedCorrectly] from typing import Union class A: pass class B: pass class C: pass def foo(bar: Union[Union[A, B], C]) -> None: if isinstance(bar, A): reveal_type(bar) # N: Revealed type is "__main__.A" else: reveal_type(bar) # N: Revealed type is "Union[__main__.B, __main__.C]" [builtins fixtures/isinstance.pyi] [out] [case testAssignAnyToUnion] from typing import Union, Any x: Union[int, str] a: Any if bool(): x = a reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/bool.pyi] [case testAssignAnyToUnionWithAny] from typing import Union, Any x: Union[int, Any] a: Any if bool(): x = a reveal_type(x) # N: Revealed type is "Any" reveal_type(x) # N: Revealed type is "Union[builtins.int, Any]" [builtins fixtures/bool.pyi] [case testUnionMultiassignSingle] from typing import Union, Tuple, Any a: Union[Tuple[int], Tuple[float]] (a1,) = a reveal_type(a1) # N: Revealed type is "Union[builtins.int, builtins.float]" b: Union[Tuple[int], Tuple[str]] (b1,) = b reveal_type(b1) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testUnionMultiassignDouble] from typing import Union, Tuple c: Union[Tuple[int, int], Tuple[int, float]] (c1, c2) = c reveal_type(c1) # N: Revealed type is "builtins.int" reveal_type(c2) # N: Revealed type is "Union[builtins.int, builtins.float]" [builtins fixtures/tuple.pyi] [case testUnionMultiassignGeneric] from typing import Union, Tuple, TypeVar T = TypeVar('T') S = TypeVar('S') def pack_two(x: T, y: S) -> Union[Tuple[T, T], Tuple[S, S]]: pass (x, y) = pack_two(1, 'a') reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [case testUnionMultiassignAny] from typing import Union, Tuple, Any d: Union[Any, Tuple[float, float]] (d1, d2) = d reveal_type(d1) # N: Revealed type is "Union[Any, builtins.float]" reveal_type(d2) # N: Revealed type is "Union[Any, builtins.float]" e: Union[Any, Tuple[float, float], int] (e1, e2) = e # E: "int" object is not iterable [builtins fixtures/tuple.pyi] [case testUnionMultiassignNotJoin] from typing import Union, List class A: pass class B(A): pass class C(A): pass a: Union[List[B], List[C]] x, y = a reveal_type(x) # N: Revealed type is "Union[__main__.B, __main__.C]" [builtins fixtures/list.pyi] [case testUnionMultiassignRebind] from typing import Union, List class A: pass class B(A): pass class C(A): pass obj: object a: Union[List[B], List[C]] obj, new = a reveal_type(obj) # N: Revealed type is "Union[__main__.B, __main__.C]" reveal_type(new) # N: Revealed type is "Union[__main__.B, __main__.C]" obj = 1 reveal_type(obj) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testUnionMultiassignAlreadyDeclared] from typing import Union, Tuple a: Union[Tuple[int, int], Tuple[int, float]] a1: object a2: int (a1, a2) = a # E: Incompatible types in assignment (expression has type "float", variable has type "int") b: Union[Tuple[float, int], Tuple[int, int]] b1: object b2: int (b1, b2) = b reveal_type(b1) # N: Revealed type is "Union[builtins.float, builtins.int]" reveal_type(b2) # N: Revealed type is "builtins.int" c: Union[Tuple[int, int], Tuple[int, int]] c1: object c2: int (c1, c2) = c reveal_type(c1) # N: Revealed type is "builtins.int" reveal_type(c2) # N: Revealed type is "builtins.int" d: Union[Tuple[int, int], Tuple[int, float]] d1: object (d1, d2) = d reveal_type(d1) # N: Revealed type is "builtins.int" reveal_type(d2) # N: Revealed type is "Union[builtins.int, builtins.float]" [builtins fixtures/tuple.pyi] [case testUnionMultiassignIndexed] from typing import Union, Tuple, List class B: x: object x: List[int] b: B a: Union[Tuple[int, int], Tuple[int, object]] (x[0], b.x) = a reveal_type(x[0]) # N: Revealed type is "builtins.int" reveal_type(b.x) # N: Revealed type is "builtins.object" [builtins fixtures/list.pyi] [case testUnionMultiassignIndexedWithError] from typing import Union, Tuple, List class A: pass class B: x: int x: List[A] b: B a: Union[Tuple[int, int], Tuple[int, object]] (x[0], b.x) = a # E: Incompatible types in assignment (expression has type "int", target has type "A") \ # E: Incompatible types in assignment (expression has type "object", variable has type "int") reveal_type(x[0]) # N: Revealed type is "__main__.A" reveal_type(b.x) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testUnionMultiassignPacked] from typing import Union, Tuple, List a: Union[Tuple[int, int, int], Tuple[int, int, str]] a1: int a2: object (a1, *xs, a2) = a reveal_type(a1) # N: Revealed type is "builtins.int" reveal_type(xs) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(a2) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/list.pyi] [case testUnpackingUnionOfListsInFunction] from typing import Union, List def f(x: bool) -> Union[List[int], List[str]]: if x: return [1, 1] else: return ['a', 'a'] def g(x: bool) -> None: a, b = f(x) reveal_type(a) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(b) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/list.pyi] [case testUnionOfVariableLengthTupleUnpacking] from typing import Tuple, Union VarTuple = Union[Tuple[int, int], Tuple[int, int, int]] def make_tuple() -> VarTuple: pass x = make_tuple() a, b = x # E: Too many values to unpack (2 expected, 3 provided) a, b, c = x # E: Need more than 2 values to unpack (3 expected) c, *d = x reveal_type(c) # N: Revealed type is "builtins.int" reveal_type(d) # N: Revealed type is "builtins.list[builtins.int]" [builtins fixtures/tuple.pyi] [case testUnionOfNonIterableUnpacking] from typing import Union bad: Union[int, str] x, y = bad # E: "int" object is not iterable \ # E: Unpacking a string is disallowed reveal_type(x) # N: Revealed type is "Any" reveal_type(y) # N: Revealed type is "Any" [out] [case testStringDisallowedUnpacking] from typing import Dict d: Dict[str, str] for a, b in d: # E: Unpacking a string is disallowed pass s = "foo" a, b = s # E: Unpacking a string is disallowed [builtins fixtures/dict.pyi] [out] [case testUnionAlwaysTooMany] from typing import Union, Tuple bad: Union[Tuple[int, int, int], Tuple[str, str, str]] x, y = bad # E: Too many values to unpack (2 expected, 3 provided) reveal_type(x) # N: Revealed type is "Any" reveal_type(y) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [out] [case testUnionAlwaysTooFew] from typing import Union, Tuple bad: Union[Tuple[int, int, int], Tuple[str, str, str]] x, y, z, w = bad # E: Need more than 3 values to unpack (4 expected) reveal_type(x) # N: Revealed type is "Any" reveal_type(y) # N: Revealed type is "Any" reveal_type(z) # N: Revealed type is "Any" reveal_type(w) # N: Revealed type is "Any" [builtins fixtures/tuple.pyi] [out] [case testUnionUnpackingChainedTuple] from typing import Union, Tuple good: Union[Tuple[int, int], Tuple[str, str]] x, y = t = good reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(t) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.str, builtins.str]]" [builtins fixtures/tuple.pyi] [out] [case testUnionUnpackingChainedTuple2] from typing import Union, Tuple good: Union[Tuple[int, int], Tuple[str, str]] t = x, y = good reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(t) # N: Revealed type is "Union[tuple[builtins.int, builtins.int], tuple[builtins.str, builtins.str]]" [builtins fixtures/tuple.pyi] [out] [case testUnionUnpackingChainedTuple3] from typing import Union, Tuple good: Union[Tuple[int, int], Tuple[str, str]] x, y = a, b = good reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(a) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(b) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [out] [case testUnionUnpackingChainedList] from typing import Union, List good: Union[List[int], List[str]] lst = x, y = good reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(lst) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.list[builtins.str]]" [builtins fixtures/list.pyi] [out] [case testUnionUnpackingChainedList2] from typing import Union, List good: Union[List[int], List[str]] x, *y, z = lst = good reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.list[builtins.str]]" reveal_type(z) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(lst) # N: Revealed type is "Union[builtins.list[builtins.int], builtins.list[builtins.str]]" [builtins fixtures/list.pyi] [out] [case testUnionUnpackingInForTuple] from typing import Union, Tuple, NamedTuple class NTInt(NamedTuple): x: int y: int class NTStr(NamedTuple): x: str y: str t1: NTInt reveal_type(t1.__iter__) # N: Revealed type is "def () -> typing.Iterator[builtins.int]" nt: Union[NTInt, NTStr] reveal_type(nt.__iter__) # N: Revealed type is "Union[def () -> typing.Iterator[builtins.int], def () -> typing.Iterator[builtins.str]]" for nx in nt: reveal_type(nx) # N: Revealed type is "Union[builtins.int, builtins.str]" t: Union[Tuple[int, int], Tuple[str, str]] for x in t: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/for.pyi] [out] [case testUnionUnpackingInForList] from typing import Union, List, Tuple t: Union[List[Tuple[int, int]], List[Tuple[str, str]]] for x, y in t: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" t2: List[Union[Tuple[int, int], Tuple[str, str]]] for x2, y2 in t2: reveal_type(x2) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y2) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/for.pyi] [out] [case testUnionUnpackingDoubleBinder] from typing import Union, Tuple x: object y: object class A: pass class B: pass t1: Union[Tuple[A, A], Tuple[B, B]] t2: Union[Tuple[int, int], Tuple[str, str]] x, y = t1 reveal_type(x) # N: Revealed type is "Union[__main__.A, __main__.B]" reveal_type(y) # N: Revealed type is "Union[__main__.A, __main__.B]" x, y = t2 reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" x, y = object(), object() reveal_type(x) # N: Revealed type is "builtins.object" reveal_type(y) # N: Revealed type is "builtins.object" [builtins fixtures/tuple.pyi] [out] [case testUnionUnpackingFromNestedTuples] from typing import Union, Tuple t: Union[Tuple[int, Tuple[int, int]], Tuple[str, Tuple[str, str]]] x, (y, z) = t reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(z) # N: Revealed type is "Union[builtins.int, builtins.str]" [builtins fixtures/tuple.pyi] [out] [case testNestedUnionUnpackingFromNestedTuples] from typing import Union, Tuple class A: pass class B: pass t: Union[Tuple[int, Union[Tuple[int, int], Tuple[A, A]]], Tuple[str, Union[Tuple[str, str], Tuple[B, B]]]] x, (y, z) = t reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, __main__.A, builtins.str, __main__.B]" reveal_type(z) # N: Revealed type is "Union[builtins.int, __main__.A, builtins.str, __main__.B]" [builtins fixtures/tuple.pyi] [out] [case testNestedUnionUnpackingFromNestedTuplesBinder] from typing import Union, Tuple class A: pass class B: pass x: object y: object z: object t: Union[Tuple[int, Union[Tuple[int, int], Tuple[A, A]]], Tuple[str, Union[Tuple[str, str], Tuple[B, B]]]] x, (y, z) = t reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str]" reveal_type(y) # N: Revealed type is "Union[builtins.int, __main__.A, builtins.str, __main__.B]" reveal_type(z) # N: Revealed type is "Union[builtins.int, __main__.A, builtins.str, __main__.B]" [builtins fixtures/tuple.pyi] [out] [case testUnpackUnionNoCrashOnPartialNone] from typing import Dict, Tuple, List, Any a: Any d: Dict[str, Tuple[List[Tuple[str, str]], str]] x, _ = d.get(a, (None, None)) for y in x: pass # E: Item "None" of "Optional[list[tuple[str, str]]]" has no attribute "__iter__" (not iterable) if x: for s, t in x: reveal_type(s) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [out] [case testUnpackUnionNoCrashOnPartialNone2] from typing import Dict, Tuple, List, Any a: Any x = None d: Dict[str, Tuple[List[Tuple[str, str]], str]] x, _ = d.get(a, (None, None)) for y in x: pass # E: Item "None" of "Optional[list[tuple[str, str]]]" has no attribute "__iter__" (not iterable) if x: for s, t in x: reveal_type(s) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [out] [case testUnpackUnionNoCrashOnPartialNoneBinder] from typing import Dict, Tuple, List, Any x: object a: Any d: Dict[str, Tuple[List[Tuple[str, str]], str]] x, _ = d.get(a, (None, None)) reveal_type(x) # N: Revealed type is "Union[builtins.list[tuple[builtins.str, builtins.str]], None]" if x: for y in x: pass [builtins fixtures/dict.pyi] [out] [case testUnpackUnionNoCrashOnPartialList] from typing import Dict, Tuple, List, Any a: Any d: Dict[str, Tuple[List[Tuple[str, str]], str]] x, _ = d.get(a, ([], "")) reveal_type(x) # N: Revealed type is "builtins.list[tuple[builtins.str, builtins.str]]" for y in x: pass [builtins fixtures/dict.pyi] [out] [case testLongUnionFormatting] from typing import Any, Generic, TypeVar, Union T = TypeVar('T') class ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes(Generic[T]): pass x: Union[ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[int], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[object], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[float], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[str], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[Any], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[bytes]] def takes_int(arg: int) -> None: pass takes_int(x) # E: Argument 1 to "takes_int" has incompatible type "Union[ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[int], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[object], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[float], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[str], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[Any], ExtremelyLongTypeNameWhichIsGenericSoWeCanUseItMultipleTimes[bytes]]"; expected "int" [case testRecursiveForwardReferenceInUnion] from typing import List, Union def test() -> None: MYTYPE = List[Union[str, "MYTYPE"]] # E: Cannot resolve name "MYTYPE" (possible cyclic definition) \ # N: Recursive types are not allowed at function scope [builtins fixtures/list.pyi] [case testNonStrictOptional] # flags: --no-strict-optional from typing import Optional, List def union_test1(x): # type: (Optional[List[int]]) -> Optional[int] if x is None: return x else: return x[0] def union_test2(x): # type: (Optional[List[int]]) -> Optional[int] if isinstance(x, type(None)): return x else: return x[0] def f(): return 0 def union_test3(): # type: () -> int x = f() assert x is None x = f() return x + 1 [builtins fixtures/isinstancelist.pyi] [case testInvariance] from typing import List, Union from enum import Enum class Boop(Enum): FOO = 1 def do_thing_with_enums(enums: Union[List[Enum], Enum]) -> None: ... boop: List[Boop] = [] do_thing_with_enums(boop) # E: Argument 1 to "do_thing_with_enums" has incompatible type "list[Boop]"; expected "Union[list[Enum], Enum]" \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant [builtins fixtures/isinstancelist.pyi] [case testAssignUnionWithTenaryExprWithEmptyCollection] from typing import Dict, List, Union x: Union[int, List[int]] = 1 if bool() else [] y: Union[int, Dict[int, int]] = 1 if bool() else {} u: Union[int, List[int]] = [] if bool() else 1 v: Union[int, Dict[int, int]] = {} if bool() else 1 [builtins fixtures/isinstancelist.pyi] [case testFlattenTypeAliasWhenAliasedAsUnion] from typing import Union T1 = int T2 = Union[T1, float] T3 = Union[T2, complex] T4 = Union[T3, int] def foo(a: T2, b: T2) -> T2: return a + b def bar(a: T4, b: T4) -> T4: # test multi-level alias return a + b [builtins fixtures/ops.pyi] [case testJoinUnionWithUnionAndAny] from typing import TypeVar, Union, Any T = TypeVar("T") def f(x: T, y: T) -> T: return x x: Union[None, Any] y: Union[int, None] reveal_type(f(x, y)) # N: Revealed type is "Union[None, Any, builtins.int]" reveal_type(f(y, x)) # N: Revealed type is "Union[builtins.int, None, Any]" [case testNestedProtocolUnions] from typing import Union, Iterator, Iterable def foo( values: Union[ Iterator[Union[ Iterator[Union[Iterator[int], Iterable[int]]], Iterable[Union[Iterator[int], Iterable[int]]], ]], Iterable[Union[ Iterator[Union[Iterator[int], Iterable[int]]], Iterable[Union[Iterator[int], Iterable[int]]], ]], ] ) -> Iterator[int]: for i in values: for j in i: for k in j: yield k foo([[[1]]]) [builtins fixtures/list.pyi] [case testNestedProtocolGenericUnions] from typing import Union, Iterator, List def foo( values: Union[ Iterator[Union[ Iterator[Union[Iterator[int], List[int]]], List[Union[Iterator[int], List[int]]], ]], List[Union[ Iterator[Union[Iterator[int], List[int]]], List[Union[Iterator[int], List[int]]], ]], ] ) -> Iterator[int]: for i in values: for j in i: for k in j: yield k foo([[[1]]]) [builtins fixtures/list.pyi] [case testNestedProtocolGenericUnionsDeep] from typing import TypeVar, Union, Iterator, List T = TypeVar("T") Iter = Union[Iterator[T], List[T]] def foo( values: Iter[Iter[Iter[Iter[Iter[int]]]]], ) -> Iterator[int]: for i in values: for j in i: for k in j: for l in k: for m in l: yield m foo([[[[[1]]]]]) [builtins fixtures/list.pyi] [case testNestedInstanceUnsimplifiedUnion] from typing import TypeVar, Union, Iterator, List, Any T = TypeVar("T") Iter = Union[Iterator[T], List[T]] def foo( values: Iter[Union[Any, Any]], ) -> Iterator[Any]: for i in values: yield i foo([1]) [builtins fixtures/list.pyi] [case testNestedInstanceTypeAlias] from typing import TypeVar, Union, Iterator, List, Any T = TypeVar("T") Iter = Union[Iterator[T], List[T]] def foo( values: Iter["Any"], ) -> Iterator[Any]: for i in values: yield i foo([1]) [builtins fixtures/list.pyi] [case testGenericUnionMemberWithTypeVarConstraints] from typing import Generic, TypeVar, Union T = TypeVar('T', str, int) class C(Generic[T]): ... def f(s: Union[T, C[T]]) -> T: ... ci: C[int] cs: C[str] reveal_type(f(1)) # N: Revealed type is "builtins.int" reveal_type(f('')) # N: Revealed type is "builtins.str" reveal_type(f(ci)) # N: Revealed type is "builtins.int" reveal_type(f(cs)) # N: Revealed type is "builtins.str" [case testNestedInstanceTypeAliasUnsimplifiedUnion] from typing import TypeVar, Union, Iterator, List, Any T = TypeVar("T") Iter = Union[Iterator[T], List[T]] def foo( values: Iter["Union[Any, Any]"], ) -> Iterator[Any]: for i in values: yield i foo([1]) [builtins fixtures/list.pyi] [case testUnionIterableContainer] from typing import Iterable, Container, Union i: Iterable[str] c: Container[str] u: Union[Iterable[str], Container[str]] ni: Union[Iterable[str], int] nc: Union[Container[str], int] 'x' in i 'x' in c 'x' in u 'x' in ni # E: Unsupported right operand type for in ("Union[Iterable[str], int]") 'x' in nc # E: Unsupported right operand type for in ("Union[Container[str], int]") [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [case testDescriptorAccessForUnionOfTypes] from typing import overload, Generic, Any, TypeVar, List, Optional, Union, Type _T_co = TypeVar("_T_co", bound=Any, covariant=True) class Mapped(Generic[_T_co]): def __init__(self, value: _T_co): self.value = value @overload def __get__( self, instance: None, owner: Any ) -> List[_T_co]: ... @overload def __get__(self, instance: object, owner: Any) -> _T_co: ... def __get__( self, instance: Optional[object], owner: Any ) -> Union[List[_T_co], _T_co]: return self.value class A: field_1: Mapped[int] = Mapped(1) field_2: Mapped[str] = Mapped('1') class B: field_1: Mapped[int] = Mapped(2) field_2: Mapped[str] = Mapped('2') mix: Union[Type[A], Type[B]] = A reveal_type(mix) # N: Revealed type is "Union[type[__main__.A], type[__main__.B]]" reveal_type(mix.field_1) # N: Revealed type is "builtins.list[builtins.int]" reveal_type(mix().field_1) # N: Revealed type is "builtins.int" [builtins fixtures/list.pyi] [case testDescriptorAccessForUnionOfTypesWithNoStrictOptional] # mypy: no-strict-optional from typing import overload, Generic, Any, TypeVar, List, Optional, Union, Type class Descriptor: @overload def __get__( self, instance: None, owner: type ) -> str: ... @overload def __get__(self, instance: object, owner: type) -> int: ... def __get__( self, instance: Optional[object], owner: type ) -> Union[str, int]: ... class A: field = Descriptor() a_class_or_none: Optional[Type[A]] x: str = a_class_or_none.field a_or_none: Optional[A] y: int = a_or_none.field [builtins fixtures/list.pyi] [case testLargeUnionsShort] from typing import Union class C1: ... class C2: ... class C3: ... class C4: ... class C5: ... class C6: ... class C7: ... class C8: ... class C9: ... class C10: ... class C11: ... u: Union[C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11] x: int = u # E: Incompatible types in assignment (expression has type "Union[C1, C2, C3, C4, C5, <6 more items>]", variable has type "int") [case testLargeUnionsLongIfNeeded] from typing import Union class C1: ... class C2: ... class C3: ... class C4: ... class C5: ... class C6: ... class C7: ... class C8: ... class C9: ... class C10: ... x: Union[C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, int] y: Union[C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, str] x = y # E: Incompatible types in assignment (expression has type "Union[C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, str]", variable has type "Union[C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, int]") \ # N: Item in the first union not in the second: "str" [case testLargeUnionsNoneShown] from typing import Union class C1: ... class C2: ... class C3: ... class C4: ... class C5: ... class C6: ... class C7: ... class C8: ... class C9: ... class C10: ... class C11: ... x: Union[C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11] y: Union[C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11, None] x = y # E: Incompatible types in assignment (expression has type "Union[C1, C2, C3, C4, C5, <6 more items>, None]", variable has type "Union[C1, C2, C3, C4, C5, <6 more items>]") \ # N: Item in the first union not in the second: "None" [case testTypeAliasWithOldUnionIsInstance] # flags: --python-version 3.10 from typing import Union SimpleAlias = Union[int, str] def foo(x: Union[int, str, tuple]): # TODO: fix the typeshed stub for isinstance if isinstance(x, SimpleAlias): # E: Argument 2 to "isinstance" has incompatible type ""; expected "type" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.tuple[Any, ...]]" else: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.tuple[Any, ...]]" [builtins fixtures/tuple.pyi] [case testTypeAliasWithOldUnionIsInstancePython39] # flags: --python-version 3.9 from typing import Union SimpleAlias = Union[int, str] def foo(x: Union[int, str, tuple]): if isinstance(x, SimpleAlias): # E: Parameterized generics cannot be used with class or instance checks \ # E: Argument 2 to "isinstance" has incompatible type ""; expected "type" reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.tuple[Any, ...]]" else: reveal_type(x) # N: Revealed type is "Union[builtins.int, builtins.str, builtins.tuple[Any, ...]]" [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-unreachable-code.test0000644000175100017510000012712415112307767022270 0ustar00runnerrunner-- Type checker test cases for conditional checks that result in some -- blocks classified as unreachable (they are not type checked or semantically -- analyzed). -- -- For example, we skip blocks that will not be executed on the active -- Python version. [case testConditionalTypeAliasPY3] import typing def f(): pass PY3 = f() if PY3: t = int x = object() + 'x' # E: Unsupported left operand type for + ("object") else: t = str y = 'x' / 1 x z = 1 # type: t [case testConditionalAssignmentPY2] import typing def f(): pass PY2 = f() if PY2: x = object() + 'x' else: y = 'x' / 1 # E: Unsupported left operand type for / ("str") y [case testConditionalImport] import typing def f(): pass PY2 = f() if PY2: import fuzzybar from barbar import * from pawwaw import a, bc else: import m [file m.py] import typing x = 1 if int(): x = 'a' [out] tmp/m.py:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testNegatedMypyConditional] import typing MYPY = 0 if not MYPY: import xyz753 else: import pow123 # E [builtins fixtures/bool.pyi] [out] main:6: error: Cannot find implementation or library stub for module named "pow123" main:6: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testMypyConditional] import typing MYPY = 0 if MYPY: None + 1 # E: Unsupported left operand type for + ("None") else: None + '' [builtins fixtures/bool.pyi] [case testTypeCheckingConditional] import typing if typing.TYPE_CHECKING: import pow123 # E else: import xyz753 [typing fixtures/typing-medium.pyi] [out] main:3: error: Cannot find implementation or library stub for module named "pow123" main:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testTypeCheckingConditionalFromImport] from typing import TYPE_CHECKING if TYPE_CHECKING: import pow123 # E else: import xyz753 [typing fixtures/typing-medium.pyi] [out] main:3: error: Cannot find implementation or library stub for module named "pow123" main:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testNegatedTypeCheckingConditional] import typing if not typing.TYPE_CHECKING: import pow123 # E else: import xyz753 [builtins fixtures/bool.pyi] [typing fixtures/typing-medium.pyi] [out] main:5: error: Cannot find implementation or library stub for module named "xyz753" main:5: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testUndefinedTypeCheckingConditional] if not TYPE_CHECKING: # E import pow123 else: import xyz753 [builtins fixtures/bool.pyi] [out] main:1: error: Name "TYPE_CHECKING" is not defined main:4: error: Cannot find implementation or library stub for module named "xyz753" main:4: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testConditionalClassDefPY3] def f(): pass PY3 = f() if PY3: pass else: class X(object): pass [case testUnreachabilityAndElifPY3] def f(): pass PY3 = f() if PY3: pass elif bool(): import nonexistent 1 + '' else: import bad_name 1 + '' [builtins fixtures/bool.pyi] [out] [case testSysVersionInfo] import sys if sys.version_info[0] >= 3: def foo() -> int: return 0 else: def foo() -> str: return '' reveal_type(foo()) # N: Revealed type is "builtins.int" [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoReversedOperandsOrder] import sys if (3,) <= sys.version_info: def foo() -> int: return 0 else: def foo() -> str: return '' reveal_type(foo()) # N: Revealed type is "builtins.int" [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoNegated] import sys if not (sys.version_info[0] < 3): def foo() -> int: return 0 else: def foo() -> str: return '' reveal_type(foo()) # N: Revealed type is "builtins.int" [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced1] import sys if sys.version_info[:1] >= (3,): def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced2] import sys if sys.version_info[:2] >= (3, 0): def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced3] import sys if sys.version_info[:] >= (3, 0): def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced4] import sys if sys.version_info[0:2] >= (3, 0): def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced5] import sys if sys.version_info[0:] >= (3,): def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced6] import sys if sys.version_info[1:] >= (5,): def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced7] import sys if sys.version_info >= (3, 5): def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced8] # Our pyversion only has (major, minor), # so testing for (major, minor, bugfix) is unsupported. import sys if sys.version_info >= (3, 5, 0): def foo() -> int: return 0 else: def foo() -> str: return '' # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def foo() -> int \ # N: Redefinition: \ # N: def foo() -> str [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoSliced9] # Our pyversion only has (major, minor), # so testing for (minor, bugfix) is unsupported (also it's silly :-). import sys if sys.version_info[1:] >= (5, 0): def foo() -> int: return 0 else: def foo() -> str: return '' # E: All conditional function variants must have identical signatures \ # N: Original: \ # N: def foo() -> int \ # N: Redefinition: \ # N: def foo() -> str [builtins fixtures/ops.pyi] [out] [case testSysPlatform1] import sys if sys.platform == 'fictional': def foo() -> int: return 0 else: def foo() -> str: return '' foo() + '' [builtins fixtures/ops.pyi] [out] [case testSysPlatform2] import sys if sys.platform != 'fictional': def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysPlatformNegated] import sys if not (sys.platform == 'fictional'): def foo() -> int: return 0 else: def foo() -> str: return '' foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoClass] import sys if sys.version_info < (3, 5): class C: pass else: class C: def foo(self) -> int: return 0 C().foo() + 0 [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoImport] import sys if sys.version_info >= (3, 5): import collections else: collections = None Pt = collections.namedtuple('Pt', 'x y z') [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoVariable] import sys if sys.version_info >= (3, 5): x = '' else: x = 0 x + '' [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoInClass] import sys class C: if sys.version_info >= (3, 5): def foo(self) -> int: return 0 else: def foo(self) -> str: return '' reveal_type(C().foo()) # N: Revealed type is "builtins.int" [builtins fixtures/ops.pyi] [out] [case testSysVersionInfoInFunction] import sys def foo() -> None: if sys.version_info >= (3, 5): x = '' else: x = 0 reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/ops.pyi] [out] [case testSysPlatformInMethod] import sys class C: def foo(self) -> None: if sys.platform != 'fictional': x = '' else: x = 0 reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/ops.pyi] [out] [case testSysPlatformInFunctionImport1] import sys def foo() -> None: if sys.platform != 'fictional': import a else: import b as a a.x [file a.py] x = 1 [builtins fixtures/ops.pyi] [out] [case testSysPlatformInFunctionImport2] import sys def foo() -> None: if sys.platform == 'fictional': import b as a else: import a a.x [file a.py] x = 1 [builtins fixtures/ops.pyi] [out] [case testSysPlatformInFunctionImport3] from typing import Callable import sys def idf(x: Callable[[], None]) -> Callable[[], None]: return x @idf def foo() -> None: if sys.platform == 'fictional': import b as a else: import a a.x [file a.py] x = 1 [builtins fixtures/ops.pyi] [out] [case testSysPlatformInMethodImport2] import sys class A: def foo(self) -> None: if sys.platform == 'fictional': import b as a else: import a a.x [file a.py] x = 1 [builtins fixtures/ops.pyi] [out] [case testCustomSysVersionInfo] # flags: --python-version 3.11 import sys if sys.version_info == (3, 11): x = "foo" else: x = 3 reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/ops.pyi] [out] [case testCustomSysVersionInfo2] # flags: --python-version 3.11 import sys if sys.version_info == (3, 6): x = "foo" else: x = 3 reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/ops.pyi] [out] [case testCustomSysPlatform] # flags: --platform linux import sys if sys.platform == 'linux': x = "foo" else: x = 3 reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/ops.pyi] [out] [case testCustomSysPlatform2] # flags: --platform win32 import sys if sys.platform == 'linux': x = "foo" else: x = 3 reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/ops.pyi] [out] [case testCustomSysPlatformStartsWith] # flags: --platform win32 import sys if sys.platform.startswith('win'): x = "foo" else: x = 3 reveal_type(x) # N: Revealed type is "builtins.str" [builtins fixtures/ops.pyi] [out] [case testShortCircuitInExpression] import typing def make() -> bool: pass PY2 = PY3 = make() a = PY2 and str() b = PY3 and str() c = PY2 or str() d = PY3 or str() e = (PY2 or PY3) and str() f = (PY3 or PY2) and str() g = (PY2 or PY3) or str() h = (PY3 or PY2) or str() reveal_type(a) # N: Revealed type is "builtins.bool" reveal_type(b) # N: Revealed type is "builtins.str" reveal_type(c) # N: Revealed type is "builtins.str" reveal_type(d) # N: Revealed type is "builtins.bool" reveal_type(e) # N: Revealed type is "builtins.str" reveal_type(f) # N: Revealed type is "builtins.str" reveal_type(g) # N: Revealed type is "builtins.bool" reveal_type(h) # N: Revealed type is "builtins.bool" [builtins fixtures/ops.pyi] [out] [case testConditionalValuesBinaryOps] # flags: --platform linux import sys t_and_t = (sys.platform == 'linux' and sys.platform == 'linux') and str() t_or_t = (sys.platform == 'linux' or sys.platform == 'linux') and str() t_and_f = (sys.platform == 'linux' and sys.platform == 'windows') and str() t_or_f = (sys.platform == 'linux' or sys.platform == 'windows') and str() f_and_t = (sys.platform == 'windows' and sys.platform == 'linux') and str() f_or_t = (sys.platform == 'windows' or sys.platform == 'linux') and str() f_and_f = (sys.platform == 'windows' and sys.platform == 'windows') and str() f_or_f = (sys.platform == 'windows' or sys.platform == 'windows') and str() reveal_type(t_and_t) # N: Revealed type is "builtins.str" reveal_type(t_or_t) # N: Revealed type is "builtins.str" reveal_type(f_and_t) # N: Revealed type is "builtins.bool" reveal_type(f_or_t) # N: Revealed type is "builtins.str" reveal_type(t_and_f) # N: Revealed type is "builtins.bool" reveal_type(t_or_f) # N: Revealed type is "builtins.str" reveal_type(f_and_f) # N: Revealed type is "builtins.bool" reveal_type(f_or_f) # N: Revealed type is "builtins.bool" [builtins fixtures/ops.pyi] [case testConditionalValuesNegation] # flags: --platform linux import sys not_t = not sys.platform == 'linux' and str() not_f = not sys.platform == 'windows' and str() not_and_t = not (sys.platform == 'linux' and sys.platform == 'linux') and str() not_and_f = not (sys.platform == 'linux' and sys.platform == 'windows') and str() not_or_t = not (sys.platform == 'linux' or sys.platform == 'linux') and str() not_or_f = not (sys.platform == 'windows' or sys.platform == 'windows') and str() reveal_type(not_t) # N: Revealed type is "builtins.bool" reveal_type(not_f) # N: Revealed type is "builtins.str" reveal_type(not_and_t) # N: Revealed type is "builtins.bool" reveal_type(not_and_f) # N: Revealed type is "builtins.str" reveal_type(not_or_t) # N: Revealed type is "builtins.bool" reveal_type(not_or_f) # N: Revealed type is "builtins.str" [builtins fixtures/ops.pyi] [case testConditionalValuesUnsupportedOps] # flags: --platform linux import sys unary_minus = -(sys.platform == 'linux') and str() binary_minus = ((sys.platform == 'linux') - (sys.platform == 'linux')) and str() reveal_type(unary_minus) # N: Revealed type is "Union[Literal[0], builtins.str]" reveal_type(binary_minus) # N: Revealed type is "Union[Literal[0], builtins.str]" [builtins fixtures/ops.pyi] [case testMypyFalseValuesInBinaryOps_no_empty] # flags: --platform linux import sys from typing import TYPE_CHECKING MYPY = 0 if TYPE_CHECKING and sys.platform == 'linux': def foo1() -> int: ... if sys.platform == 'linux' and TYPE_CHECKING: def foo2() -> int: ... if MYPY and sys.platform == 'linux': def foo3() -> int: ... if sys.platform == 'linux' and MYPY: def foo4() -> int: ... if TYPE_CHECKING or sys.platform == 'linux': def bar1() -> int: ... # E: Missing return statement if sys.platform == 'linux' or TYPE_CHECKING: def bar2() -> int: ... # E: Missing return statement if MYPY or sys.platform == 'linux': def bar3() -> int: ... # E: Missing return statement if sys.platform == 'linux' or MYPY: def bar4() -> int: ... # E: Missing return statement [builtins fixtures/ops.pyi] [case testShortCircuitAndWithConditionalAssignment] # flags: --platform linux import sys def f(): pass PY2 = f() if PY2 and sys.platform == 'linux': x = 'foo' else: x = 3 reveal_type(x) # N: Revealed type is "builtins.int" if sys.platform == 'linux' and PY2: y = 'foo' else: y = 3 reveal_type(y) # N: Revealed type is "builtins.int" [builtins fixtures/ops.pyi] [case testShortCircuitOrWithConditionalAssignment] # flags: --platform linux import sys def f(): pass PY2 = f() if PY2 or sys.platform == 'linux': x = 'foo' else: x = 3 reveal_type(x) # N: Revealed type is "builtins.str" if sys.platform == 'linux' or PY2: y = 'foo' else: y = 3 reveal_type(y) # N: Revealed type is "builtins.str" [builtins fixtures/ops.pyi] [case testShortCircuitNoEvaluation] # flags: --platform linux --always-false COMPILE_TIME_FALSE import sys if sys.platform == 'darwin': mac_only = 'junk' # `mac_only` should not be evaluated if sys.platform == 'darwin' and mac_only: pass if sys.platform == 'linux' or mac_only: pass COMPILE_TIME_FALSE = 'junk' if COMPILE_TIME_FALSE: compile_time_false_only = 'junk' # `compile_time_false_only` should not be evaluated if COMPILE_TIME_FALSE and compile_time_false_only: pass if not COMPILE_TIME_FALSE or compile_time_false_only: pass MYPY = False if not MYPY: mypy_only = 'junk' # `mypy_only` should not be evaluated if not MYPY and mypy_only: pass if MYPY or mypy_only: pass [builtins fixtures/ops.pyi] [case testSemanticAnalysisFalseButTypeNarrowingTrue] # flags: --always-false COMPILE_TIME_FALSE from typing import Literal indeterminate: str COMPILE_TIME_FALSE: Literal[True] # type-narrowing: mapped in 'if' only a = COMPILE_TIME_FALSE or indeterminate reveal_type(a) # N: Revealed type is "builtins.str" b = indeterminate or COMPILE_TIME_FALSE reveal_type(b) # N: Revealed type is "Union[builtins.str, Literal[True]]" [typing fixtures/typing-medium.pyi] [case testSemanticAnalysisTrueButTypeNarrowingFalse] # flags: --always-true COMPILE_TIME_TRUE from typing import Literal indeterminate: str COMPILE_TIME_TRUE: Literal[False] # type narrowed to `else` only a = COMPILE_TIME_TRUE or indeterminate reveal_type(a) # N: Revealed type is "Literal[False]" b = indeterminate or COMPILE_TIME_TRUE reveal_type(b) # N: Revealed type is "Union[builtins.str, Literal[False]]" [typing fixtures/typing-medium.pyi] [case testConditionalAssertWithoutElse] import typing class A: pass class B(A): pass x = A() reveal_type(x) # N: Revealed type is "__main__.A" if typing.TYPE_CHECKING: assert isinstance(x, B) reveal_type(x) # N: Revealed type is "__main__.B" reveal_type(x) # N: Revealed type is "__main__.B" [builtins fixtures/isinstancelist.pyi] [typing fixtures/typing-medium.pyi] [case testUnreachableWhenSuperclassIsAny] from typing import Any # This can happen if we're importing a class from a missing module Parent: Any class Child(Parent): def foo(self) -> int: reveal_type(self) # N: Revealed type is "__main__.Child" if self is None: reveal_type(self) return None reveal_type(self) # N: Revealed type is "__main__.Child" return 3 def bar(self) -> int: if 1: self = super(Child, self).something() reveal_type(self) # N: Revealed type is "__main__.Child" if self is None: reveal_type(self) return None reveal_type(self) # N: Revealed type is "__main__.Child" return 3 [builtins fixtures/isinstance.pyi] [case testUnreachableWhenSuperclassIsAnyNoStrictOptional] # flags: --no-strict-optional from typing import Any Parent: Any class Child(Parent): def foo(self) -> int: reveal_type(self) # N: Revealed type is "__main__.Child" if self is None: reveal_type(self) # N: Revealed type is "None" return None reveal_type(self) # N: Revealed type is "__main__.Child" return 3 [builtins fixtures/isinstance.pyi] [case testUnreachableAfterToplevelAssert] import sys reveal_type(0) # N: Revealed type is "Literal[0]?" assert sys.platform == 'lol' reveal_type('') # No error here :-) [builtins fixtures/ops.pyi] [case testUnreachableAfterToplevelAssert2] import sys reveal_type(0) # N: Revealed type is "Literal[0]?" assert sys.version_info[0] == 1 reveal_type('') # No error here :-) [builtins fixtures/ops.pyi] [case testUnreachableAfterToplevelAssert3] reveal_type(0) # N: Revealed type is "Literal[0]?" MYPY = False assert not MYPY reveal_type('') # No error here :-) [builtins fixtures/ops.pyi] [case testUnreachableAfterToplevelAssert4] # flags: --always-false NOPE reveal_type(0) # N: Revealed type is "Literal[0]?" NOPE = False assert NOPE reveal_type('') # No error here :-) [builtins fixtures/ops.pyi] [case testUnreachableAfterToplevelAssertImport] import foo foo.bar() # E: "object" has no attribute "bar" [file foo.py] import sys assert sys.platform == 'lol' def bar() -> None: pass [builtins fixtures/ops.pyi] [case testUnreachableAfterToplevelAssertImport2] # flags: --platform lol import foo foo.bar() # No error :-) [file foo.py] import sys assert sys.platform == 'lol' def bar() -> None: pass [builtins fixtures/ops.pyi] [case testUnreachableAfterToplevelAssertImportThirdParty] # flags: --platform unknown import sys assert sys.platform == 'linux' import does_not_exist [builtins fixtures/ops.pyi] [case testUnreachableAfterToplevelAssertImportThirdParty2] # flags: --platform unknown import sys import bad; assert sys.platform == 'linux'; import does_not_exist [builtins fixtures/ops.pyi] [out] main:3: error: Cannot find implementation or library stub for module named "bad" main:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testUnreachableAfterToplevelAssertNotInsideIf] import sys if sys.version_info[0] >= 2: assert sys.platform == 'lol' reveal_type('') # N: Revealed type is "Literal['']?" reveal_type('') # N: Revealed type is "Literal['']?" [builtins fixtures/ops.pyi] [case testUnreachableFlagWithBadControlFlow1] # flags: --warn-unreachable a: int if isinstance(a, int): reveal_type(a) # N: Revealed type is "builtins.int" else: reveal_type(a) # E: Statement is unreachable [builtins fixtures/isinstancelist.pyi] [case testUnreachableFlagWithBadControlFlow2] # flags: --warn-unreachable b: int while isinstance(b, int): reveal_type(b) # N: Revealed type is "builtins.int" else: reveal_type(b) # E: Statement is unreachable [builtins fixtures/isinstancelist.pyi] [case testUnreachableFlagWithBadControlFlow3] # flags: --warn-unreachable def foo(c: int) -> None: reveal_type(c) # N: Revealed type is "builtins.int" assert not isinstance(c, int) reveal_type(c) # E: Statement is unreachable [builtins fixtures/isinstancelist.pyi] [case testUnreachableFlagWithBadControlFlow4] # flags: --warn-unreachable d: int if False: reveal_type(d) # E: Statement is unreachable [builtins fixtures/isinstancelist.pyi] [case testUnreachableFlagWithBadControlFlow5] # flags: --warn-unreachable e: int if True: reveal_type(e) # N: Revealed type is "builtins.int" else: reveal_type(e) # E: Statement is unreachable [builtins fixtures/isinstancelist.pyi] [case testUnreachableFlagStatementAfterReturn] # flags: --warn-unreachable def foo(x: int) -> None: reveal_type(x) # N: Revealed type is "builtins.int" return reveal_type(x) # E: Statement is unreachable [case testUnreachableFlagTryBlocks] # flags: --warn-unreachable def foo(x: int) -> int: try: reveal_type(x) # N: Revealed type is "builtins.int" return x reveal_type(x) # E: Statement is unreachable finally: reveal_type(x) # N: Revealed type is "builtins.int" if True: reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # E: Statement is unreachable def bar(x: int) -> int: try: if True: raise Exception() reveal_type(x) # E: Statement is unreachable except: reveal_type(x) # N: Revealed type is "builtins.int" return x else: reveal_type(x) # E: Statement is unreachable def baz(x: int) -> int: try: reveal_type(x) # N: Revealed type is "builtins.int" except: # Mypy assumes all lines could throw an exception reveal_type(x) # N: Revealed type is "builtins.int" return x else: reveal_type(x) # N: Revealed type is "builtins.int" return x [builtins fixtures/exception.pyi] [case testUnreachableFlagIgnoresSemanticAnalysisUnreachable] # flags: --warn-unreachable --python-version 3.9 --platform win32 --always-false FOOBAR import sys from typing import TYPE_CHECKING x: int if TYPE_CHECKING: reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) if not TYPE_CHECKING: reveal_type(x) else: reveal_type(x) # N: Revealed type is "builtins.int" if sys.platform == 'darwin': reveal_type(x) else: reveal_type(x) # N: Revealed type is "builtins.int" if sys.platform == 'win32': reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) if sys.version_info == (2, 7): reveal_type(x) else: reveal_type(x) # N: Revealed type is "builtins.int" if sys.version_info == (3, 9): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) FOOBAR = "" if FOOBAR: reveal_type(x) else: reveal_type(x) # N: Revealed type is "builtins.int" [builtins fixtures/ops.pyi] [typing fixtures/typing-medium.pyi] [case testUnreachableFlagIgnoresSemanticAnalysisExprUnreachable] # flags: --warn-unreachable --always-false FOOBAR import sys from typing import TYPE_CHECKING FOOBAR = "" def foo() -> bool: ... lst = [1, 2, 3] a = FOOBAR and foo() b = (not FOOBAR) or foo() c = 1 if FOOBAR else 2 d = [x for x in lst if FOOBAR] [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] [case testUnreachableFlagOkWithDeadStatements] # flags: --warn-unreachable from typing import NoReturn def assert_never(x: NoReturn) -> NoReturn: assert False def nonthrowing_assert_never(x: NoReturn) -> None: ... def expect_str(x: str) -> str: pass x: int if False: assert False reveal_type(x) # E: Statement is unreachable if False: raise Exception() reveal_type(x) # E: Statement is unreachable if False: assert_never(x) reveal_type(x) # E: Statement is unreachable if False: nonthrowing_assert_never(x) # E: Statement is unreachable reveal_type(x) if False: # Ignore obvious type errors assert_never(expect_str(x)) reveal_type(x) # E: Statement is unreachable [builtins fixtures/exception.pyi] [case testNeverVariants] from typing import Never from typing_extensions import Never as TENever from typing import NoReturn from typing_extensions import NoReturn as TENoReturn from mypy_extensions import NoReturn as MENoReturn bottom1: Never reveal_type(bottom1) # N: Revealed type is "Never" bottom2: TENever reveal_type(bottom2) # N: Revealed type is "Never" bottom3: NoReturn reveal_type(bottom3) # N: Revealed type is "Never" bottom4: TENoReturn reveal_type(bottom4) # N: Revealed type is "Never" bottom5: MENoReturn reveal_type(bottom5) # N: Revealed type is "Never" [builtins fixtures/tuple.pyi] [case testUnreachableFlagExpressions] # flags: --warn-unreachable def foo() -> bool: ... lst = [1, 2, 3, 4] a = True or foo() # E: Right operand of "or" is never evaluated b = 42 or False # E: Right operand of "or" is never evaluated d = False and foo() # E: Right operand of "and" is never evaluated e = True or (True or (True or foo())) # E: Right operand of "or" is never evaluated f = (True or foo()) or (True or foo()) # E: Right operand of "or" is never evaluated k = [x for x in lst if isinstance(x, int) or foo()] # E: Right operand of "or" is never evaluated [builtins fixtures/isinstancelist.pyi] [case testUnreachableFlagMiscTestCaseMissingMethod] # flags: --warn-unreachable class Case1: def test1(self) -> bool: return False and self.missing() # E: Right operand of "and" is never evaluated def test2(self) -> bool: return not self.property_decorator_missing and self.missing() # E: Function "property_decorator_missing" could always be true in boolean context \ # E: Right operand of "and" is never evaluated def property_decorator_missing(self) -> bool: return True [builtins fixtures/bool.pyi] [case testUnreachableFlagWithGenerics] # flags: --warn-unreachable from typing import TypeVar, Generic T1 = TypeVar('T1', bound=int) T2 = TypeVar('T2', int, str) T3 = TypeVar('T3', None, str) def test1(x: T1) -> T1: if isinstance(x, int): reveal_type(x) # N: Revealed type is "T1`-1" else: reveal_type(x) # E: Statement is unreachable return x def test2(x: T2) -> T2: if isinstance(x, int): reveal_type(x) # N: Revealed type is "builtins.int" else: reveal_type(x) # N: Revealed type is "builtins.str" if False: # This is unreachable, but we don't report an error, unfortunately. # The presence of the TypeVar with values unfortunately currently shuts # down type-checking for this entire function. # TODO: Find a way of removing this limitation reveal_type(x) return x class Test3(Generic[T2]): x: T2 def func(self) -> None: if isinstance(self.x, int): reveal_type(self.x) # N: Revealed type is "builtins.int" else: reveal_type(self.x) # N: Revealed type is "builtins.str" if False: # Same issue as above reveal_type(self.x) class Test4(Generic[T3]): def __init__(self, x: T3): # https://github.com/python/mypy/issues/9456 # On TypeVars with value restrictions, we currently have no way # of checking a statement for all the type expansions. # Thus unreachable warnings are disabled if x and False: pass # This test should fail after this limitation is removed. if False and x: pass [builtins fixtures/isinstancelist.pyi] [case testUnreachableBlockStaysUnreachableWithTypeVarConstraints] # flags: --always-false COMPILE_TIME_FALSE from typing import TypeVar COMPILE_TIME_FALSE = False T = TypeVar("T", int, str) def foo(x: T) -> T: if COMPILE_TIME_FALSE: return "bad" return x [case testUnreachableFlagContextManagersNoSuppress] # flags: --warn-unreachable from contextlib import contextmanager from typing import Literal, Optional, Iterator, Any class DoesNotSuppress1: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> Optional[bool]: ... class DoesNotSuppress2: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> Literal[False]: ... class DoesNotSuppress3: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> Any: ... class DoesNotSuppress4: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> None: ... @contextmanager def simple() -> Iterator[int]: yield 3 def cond() -> bool: ... def noop() -> None: ... def f_no_suppress_1a() -> int: with DoesNotSuppress1(): return 3 noop() # E: Statement is unreachable def f_no_suppress_1b() -> int: with DoesNotSuppress1(): if cond(): return 3 else: return 3 noop() # E: Statement is unreachable def f_no_suppress_2() -> int: with DoesNotSuppress2(): return 3 noop() # E: Statement is unreachable def f_no_suppress_3() -> int: with DoesNotSuppress3(): return 3 noop() # E: Statement is unreachable def f_no_suppress_4() -> int: with DoesNotSuppress4(): return 3 noop() # E: Statement is unreachable def f_no_suppress_5() -> int: with simple(): return 3 noop() # E: Statement is unreachable [typing fixtures/typing-medium.pyi] [builtins fixtures/tuple.pyi] [case testUnreachableFlagContextManagersSuppressed] # flags: --warn-unreachable from contextlib import contextmanager from typing import Optional, Iterator, Literal, Any class DoesNotSuppress: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> Optional[bool]: ... class Suppresses1: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> bool: ... class Suppresses2: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> Literal[True]: ... def cond() -> bool: ... def noop() -> None: ... def f_suppress_1a() -> int: # E: Missing return statement with Suppresses1(): return 3 noop() def f_suppress_1b() -> int: # E: Missing return statement with Suppresses1(): if cond(): return 3 else: return 3 noop() def f_suppress_2() -> int: # E: Missing return statement with Suppresses2(): return 3 noop() def f_mix() -> int: # E: Missing return statement with DoesNotSuppress(), Suppresses1(), DoesNotSuppress(): return 3 noop() [typing fixtures/typing-medium.pyi] [builtins fixtures/tuple.pyi] [case testUnreachableFlagContextManagersSuppressedNoStrictOptional] # flags: --warn-unreachable --no-strict-optional from contextlib import contextmanager from typing import Optional, Iterator, Literal, Any class DoesNotSuppress1: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> Optional[bool]: ... # Normally, this should suppress. But when strict-optional mode is disabled, we can't # necessarily distinguish between bool and Optional[bool]. So we default to assuming # no suppression, since that's what most context managers will do. class DoesNotSuppress2: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> bool: ... # But if we see Literal[True], it's pretty unlikely the return type is actually meant to # be 'Optional[Literal[True]]'. So, we optimistically assume this is meant to be suppressing. class Suppresses: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> Literal[True]: ... def noop() -> None: ... def f_no_suppress_1() -> int: with DoesNotSuppress1(): return 3 noop() # E: Statement is unreachable def f_no_suppress_2() -> int: with DoesNotSuppress1(): return 3 noop() # E: Statement is unreachable def f_suppress() -> int: # E: Missing return statement with Suppresses(): return 3 noop() [typing fixtures/typing-medium.pyi] [builtins fixtures/tuple.pyi] [case testUnreachableFlagContextAsyncManagersNoSuppress] # flags: --warn-unreachable from contextlib import asynccontextmanager from typing import Optional, AsyncIterator, Literal, Any class DoesNotSuppress1: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> Optional[bool]: ... class DoesNotSuppress2: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> Literal[False]: ... class DoesNotSuppress3: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> Any: ... class DoesNotSuppress4: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> None: ... @asynccontextmanager async def simple() -> AsyncIterator[int]: yield 3 def cond() -> bool: ... def noop() -> None: ... async def f_no_suppress_1a() -> int: async with DoesNotSuppress1(): return 3 noop() # E: Statement is unreachable async def f_no_suppress_1b() -> int: async with DoesNotSuppress1(): if cond(): return 3 else: return 3 noop() # E: Statement is unreachable async def f_no_suppress_2() -> int: async with DoesNotSuppress2(): return 3 noop() # E: Statement is unreachable async def f_no_suppress_3() -> int: async with DoesNotSuppress3(): return 3 noop() # E: Statement is unreachable async def f_no_suppress_4() -> int: async with DoesNotSuppress4(): return 3 noop() # E: Statement is unreachable async def f_no_suppress_5() -> int: async with simple(): return 3 noop() # E: Statement is unreachable [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [case testUnreachableFlagContextAsyncManagersSuppressed] # flags: --warn-unreachable from contextlib import asynccontextmanager from typing import Optional, AsyncIterator, Literal, Any class DoesNotSuppress: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> Optional[bool]: ... class Suppresses1: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> bool: ... class Suppresses2: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> Literal[True]: ... def cond() -> bool: ... def noop() -> None: ... async def f_suppress_1() -> int: # E: Missing return statement async with Suppresses1(): return 3 noop() async def f_suppress_2() -> int: # E: Missing return statement async with Suppresses1(): if cond(): return 3 else: return 3 noop() async def f_suppress_3() -> int: # E: Missing return statement async with Suppresses2(): return 3 noop() async def f_mix() -> int: # E: Missing return statement async with DoesNotSuppress(), Suppresses1(), DoesNotSuppress(): return 3 noop() [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [case testUnreachableFlagContextAsyncManagersAbnormal] # flags: --warn-unreachable from contextlib import asynccontextmanager from typing import Optional, AsyncIterator, Literal, Any class RegularManager: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> bool: ... class AsyncManager: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> bool: ... def noop() -> None: ... async def f_bad_1() -> int: async with RegularManager(): # E: "RegularManager" has no attribute "__aenter__"; maybe "__enter__"? \ # E: "RegularManager" has no attribute "__aexit__"; maybe "__exit__"? return 3 noop() # E: Statement is unreachable def f_bad_2() -> int: with AsyncManager(): # E: "AsyncManager" has no attribute "__enter__"; maybe "__aenter__"? \ # E: "AsyncManager" has no attribute "__exit__"; maybe "__aexit__"? return 3 noop() # E: Statement is unreachable # TODO: We should consider reporting an error when the user tries using # context manager with malformed signatures instead of silently continuing. class RegularManagerMalformedSignature: def __enter__(self) -> int: ... def __exit__(self, exctype: object, excvalue: object, traceback: object) -> object: ... class AsyncManagerMalformedSignature: async def __aenter__(self) -> int: ... async def __aexit__(self, exctype: object, excvalue: object, traceback: object) -> object: ... def f_malformed_1() -> int: with RegularManagerMalformedSignature(): return 3 noop() # E: Statement is unreachable async def f_malformed_2() -> int: async with AsyncManagerMalformedSignature(): return 3 noop() # E: Statement is unreachable [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [case testUnreachableUntypedFunction] # flags: --warn-unreachable def test_untyped_fn(obj): assert obj.prop is True obj.update(prop=False) obj.reload() assert obj.prop is False reveal_type(obj.prop) def test_typed_fn(obj) -> None: assert obj.prop is True obj.update(prop=False) obj.reload() assert obj.prop is False reveal_type(obj.prop) # E: Statement is unreachable [case testUnreachableCheckedUntypedFunction] # flags: --warn-unreachable --check-untyped-defs def test_untyped_fn(obj): assert obj.prop is True obj.update(prop=False) obj.reload() assert obj.prop is False reveal_type(obj.prop) # E: Statement is unreachable [case testConditionalTypeVarException] # every part of this test case was necessary to trigger the crash import sys from typing import TypeVar T = TypeVar("T", int, str) def f(t: T) -> None: if sys.platform == "lol": try: pass except BaseException as e: pass [builtins fixtures/dict.pyi] [case testUnreachableLiteral] # flags: --warn-unreachable from typing import Literal def nope() -> Literal[False]: ... def f() -> None: if nope(): x = 1 # E: Statement is unreachable [builtins fixtures/dict.pyi] [case testUnreachableLiteralFrom__bool__] # flags: --warn-unreachable from typing import Literal class Truth: def __bool__(self) -> Literal[True]: ... class Lie: def __bool__(self) -> Literal[False]: ... class Maybe: def __bool__(self) -> Literal[True | False]: ... t = Truth() if t: x = 1 else: x = 2 # E: Statement is unreachable if Lie(): x = 3 # E: Statement is unreachable if Maybe(): x = 4 def foo() -> bool: ... y = Truth() or foo() # E: Right operand of "or" is never evaluated z = Lie() and foo() # E: Right operand of "and" is never evaluated [builtins fixtures/dict.pyi] [case testUnreachableModuleBody1] # flags: --warn-unreachable from typing import NoReturn def foo() -> NoReturn: raise Exception("foo") foo() x = 1 # E: Statement is unreachable [builtins fixtures/exception.pyi] [case testUnreachableModuleBody2] # flags: --warn-unreachable raise Exception x = 1 # E: Statement is unreachable [builtins fixtures/exception.pyi] [case testUnreachableNoReturnBinaryOps] # flags: --warn-unreachable from typing import NoReturn a: NoReturn a and 1 # E: Right operand of "and" is never evaluated a or 1 # E: Right operand of "or" is never evaluated a or a # E: Right operand of "or" is never evaluated 1 and a and 1 # E: Right operand of "and" is never evaluated a and a # E: Right operand of "and" is never evaluated [builtins fixtures/exception.pyi] [case testUnreachableFlagWithTerminalBranchInDeferredNode] # flags: --warn-unreachable from typing import NoReturn def assert_never(x: NoReturn) -> NoReturn: ... def force_forward_ref() -> int: return 4 def f(value: None) -> None: x if value is not None: assert_never(value) x = force_forward_ref() [builtins fixtures/exception.pyi] [case testSetitemNoReturn] # flags: --warn-unreachable from typing import NoReturn class Foo: def __setitem__(self, key: str, value: str) -> NoReturn: raise Exception Foo()['a'] = 'a' x = 0 # E: Statement is unreachable [builtins fixtures/exception.pyi] [case TestNoImplicNoReturnFromError] # flags: --warn-unreachable from typing import TypeVar T = TypeVar("T") class Foo: def __setitem__(self, key: str, value: str) -> T: # E: A function returning TypeVar should receive at least one argument containing the same TypeVar raise Exception def f() -> None: Foo()['a'] = 'a' x = 0 # This should not be reported as unreachable [builtins fixtures/exception.pyi] [case testIntentionallyEmptyGeneratorFunction] # flags: --warn-unreachable from typing import Generator def f() -> Generator[None, None, None]: return yield [case testIntentionallyEmptyGeneratorFunction_None] # flags: --warn-unreachable from typing import Generator def f() -> Generator[None, None, None]: return None yield None [case testLambdaNoReturn] # flags: --warn-unreachable from typing import Callable, NoReturn def foo() -> NoReturn: raise f1 = lambda: foo() x = 0 # not unreachable f2: Callable[[], NoReturn] = lambda: foo() x = 0 # not unreachable [case testAttributeNoReturn] # flags: --warn-unreachable from typing import Optional, NoReturn, TypeVar def foo() -> NoReturn: raise T = TypeVar("T") def bar(x: Optional[list[T]] = None) -> T: ... reveal_type(bar().attr) # N: Revealed type is "Never" 1 # not unreachable reveal_type(foo().attr) # N: Revealed type is "Never" 1 # E: Statement is unreachable [case testIgnoreReturningNotImplemented] # flags: --warn-unreachable class C: def __add__(self, o: C) -> C: if not isinstance(o, C): return NotImplemented return C() def __sub__(self, o: C) -> C: if isinstance(o, C): return C() return NotImplemented def __mul__(self, o: C) -> C: if isinstance(o, C): return C() else: return NotImplemented [builtins fixtures/isinstance.pyi] [case testUnreachableStatementPrettyHighlighting] # flags: --warn-unreachable --pretty def x() -> None: assert False if 5: pass [out] main:4: error: Statement is unreachable if 5: ^~~~~ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-unsupported.test0000644000175100017510000000056215112307767021473 0ustar00runnerrunner-- Tests for unsupported features [case testDecorateOverloadedFunction] from foo import * [file foo.pyi] # The error messages are not the most informative ever. def d(x): pass @d def f(): pass def f(x): pass # E def g(): pass @d # E def g(x): pass [out] tmp/foo.pyi:5: error: Name "f" already defined on line 3 tmp/foo.pyi:7: error: Name "g" already defined on line 6 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-varargs.test0000644000175100017510000007467415112307767020567 0ustar00runnerrunner-- Test cases for the type checker related to varargs. -- Varargs within body -- ------------------- [case testVarArgsWithinFunction] from typing import Tuple def f( *b: 'B') -> None: ab: Tuple[B, ...] ac: Tuple[C, ...] if int(): b = ac # E: Incompatible types in assignment (expression has type "tuple[C, ...]", variable has type "tuple[B, ...]") ac = b # E: Incompatible types in assignment (expression has type "tuple[B, ...]", variable has type "tuple[C, ...]") b = ab ab = b class B: pass class C: pass [builtins fixtures/tuple.pyi] [out] [case testVarArgsAreTuple] from typing import Tuple, Sequence def want_tuple(types: Tuple[type, ...]): pass def want_sequence(types: Sequence[type]): pass def test(*t: type) -> None: want_tuple(t) want_sequence(t) [builtins fixtures/tuple.pyi] [out] -- Calling varargs function -- ------------------------ [case testCallingVarArgsFunction] def f( *a: 'A') -> None: pass def g() -> None: pass class A: pass class B(A): pass class C: pass a: A b: B c: C f(c) # E: Argument 1 to "f" has incompatible type "C"; expected "A" f(a, b, c) # E: Argument 3 to "f" has incompatible type "C"; expected "A" f(g()) # E: "g" does not return a value (it only ever returns None) f(a, g()) # E: "g" does not return a value (it only ever returns None) f() f(a) f(b) f(a, b, a, b) [builtins fixtures/list.pyi] [case testCallingVarArgsFunctionWithAlsoNormalArgs] def f(a: 'C', *b: 'A') -> None: pass class A: pass class B(A): pass class C: pass a: A b: B c: C f(a) # E: Argument 1 to "f" has incompatible type "A"; expected "C" f(c, c) # E: Argument 2 to "f" has incompatible type "C"; expected "A" f(c, a, b, c) # E: Argument 4 to "f" has incompatible type "C"; expected "A" f(c) f(c, a) f(c, b, b, a, b) [builtins fixtures/list.pyi] [case testCallingVarArgsFunctionWithDefaultArgs] # flags: --implicit-optional --no-strict-optional def f(a: 'C' = None, *b: 'A') -> None: pass class A: pass class B(A): pass class C: pass a: A b: B c: C f(a) # E: Argument 1 to "f" has incompatible type "A"; expected "Optional[C]" f(c, c) # E: Argument 2 to "f" has incompatible type "C"; expected "A" f(c, a, b, c) # E: Argument 4 to "f" has incompatible type "C"; expected "A" f() f(c) f(c, a) f(c, b, b, a, b) [builtins fixtures/list.pyi] [case testCallVarargsFunctionWithIterable] from typing import Iterable it1: Iterable[int] it2: Iterable[str] def f(*x: int) -> None: pass f(*it1) f(*it2) # E: Argument 1 to "f" has incompatible type "*Iterable[str]"; expected "int" [builtins fixtures/for.pyi] [case testCallVarargsFunctionWithTwoTupleStarArgs] from typing import TypeVar, Tuple T1 = TypeVar('T1') T2 = TypeVar('T2') T3 = TypeVar('T3') T4 = TypeVar('T4') def f(a: T1, b: T2, c: T3, d: T4) -> Tuple[T1, T2, T3, T4]: ... x: Tuple[int, str] y: Tuple[float, bool] reveal_type(f(*x, *y)) # N: Revealed type is "tuple[builtins.int, builtins.str, builtins.float, builtins.bool]" [builtins fixtures/list.pyi] [case testCallVarargsFunctionWithIterableAndPositional] from typing import Iterable it1: Iterable[int] def f(*x: int) -> None: pass f(*it1, 1, 2) f(*it1, 1, *it1, 2) f(*it1, '') # E: Argument 2 to "f" has incompatible type "str"; expected "int" [builtins fixtures/for.pyi] [case testCallVarargsFunctionWithTupleAndPositional] def f(*x: int) -> None: pass it1 = (1, 2) it2 = ('',) f(*it1, 1, 2) f(*it1, 1, *it1, 2) f(*it1, 1, *it2, 2) # E: Argument 3 to "f" has incompatible type "*tuple[str]"; expected "int" f(*it1, '') # E: Argument 2 to "f" has incompatible type "str"; expected "int" [builtins fixtures/for.pyi] [case testCallVarArgsWithMatchingNamedArgument] def foo(*args: int) -> None: ... # N: "foo" defined here foo(args=1) # E: Unexpected keyword argument "args" for "foo" def bar(*args: int, **kwargs: str) -> None: ... bar(args=1) # E: Argument "args" to "bar" has incompatible type "int"; expected "str" [builtins fixtures/for.pyi] -- Calling varargs function + type inference -- ----------------------------------------- [case testTypeInferenceWithCalleeVarArgs] from typing import TypeVar T = TypeVar('T') def f( *a: T) -> T: pass class A: pass class B(A): pass class C: pass a: A b: B c: C o: object if int(): a = f(o) # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): b = f(b, a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = f(a, b) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): o = f() if int(): a = f(a) if int(): a = f(b) if int(): a = f(a, b, a) if int(): o = f(a, b, o) if int(): c = f(c) [builtins fixtures/list.pyi] [case testTypeInferenceWithCalleeVarArgsAndDefaultArgs] # flags: --no-strict-optional from typing import TypeVar T = TypeVar('T') a = None # type: A o = None # type: object def f(a: T, b: T = None, *c: T) -> T: pass class A: pass if int(): a = f(o) # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): a = f(a, o) # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): a = f(a, a, o) # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): a = f(a, a, a, o) # E: Incompatible types in assignment (expression has type "object", variable has type "A") if int(): a = f(a) if int(): a = f(a, a) if int(): a = f(a, a, a) [builtins fixtures/list.pyi] -- Calling normal function with varargs -- ------------------------------------ [case testCallingWithListVarArgs] from typing import List, Any, cast def f(a: 'A', b: 'B') -> None: pass class A: pass class B: pass aa: List[A] ab: List[B] a: A b: B f(*aa) # E: Argument 1 to "f" has incompatible type "*list[A]"; expected "B" f(a, *ab) # Ok f(a, b) (cast(Any, f))(*aa) # IDEA: Move to check-dynamic? (cast(Any, f))(a, *ab) # IDEA: Move to check-dynamic? [builtins fixtures/list.pyi] [case testCallingWithTupleVarArgs] def f(a: 'A', b: 'B', c: 'C') -> None: pass class A: pass class B: pass class C: pass class CC(C): pass a: A b: B c: C cc: CC f(*(a, b, b)) # E: Argument 1 to "f" has incompatible type "*tuple[A, B, B]"; expected "C" f(*(b, b, c)) # E: Argument 1 to "f" has incompatible type "*tuple[B, B, C]"; expected "A" f(a, *(b, b)) # E: Argument 2 to "f" has incompatible type "*tuple[B, B]"; expected "C" f(b, *(b, c)) # E: Argument 1 to "f" has incompatible type "B"; expected "A" f(*(a, b)) # E: Missing positional arguments "b", "c" in call to "f" f(*(a, b, c, c)) # E: Too many arguments for "f" f(a, *(b, c, c)) # E: Too many arguments for "f" f(*(a, b, c)) f(a, *(b, c)) f(a, b, *(c,)) f(a, *(b, cc)) [builtins fixtures/tuple.pyi] [case testInvalidVarArg] def f(a: 'A') -> None: pass class A: pass a = A() f(*None) # E: Expected iterable as variadic argument f(*a) # E: Expected iterable as variadic argument f(*(a,)) f(*4) # E: Expected iterable as variadic argument f(a, *4) # E: Expected iterable as variadic argument [builtins fixtures/tuple.pyi] -- Calling varargs function with varargs -- ------------------------------------- [case testCallingVarArgsFunctionWithListVarArgs] from typing import List def f(a: 'A', *b: 'B') -> None: pass def g(a: 'A', *b: 'A') -> None: pass class A: pass class B: pass aa: List[A] ab: List[B] a: A b: B f(*aa) # E: Argument 1 to "f" has incompatible type "*list[A]"; expected "B" f(a, *aa) # E: Argument 2 to "f" has incompatible type "*list[A]"; expected "B" f(b, *ab) # E: Argument 1 to "f" has incompatible type "B"; expected "A" f(a, a, *ab) # E: Argument 2 to "f" has incompatible type "A"; expected "B" f(a, b, *aa) # E: Argument 3 to "f" has incompatible type "*list[A]"; expected "B" f(b, b, *ab) # E: Argument 1 to "f" has incompatible type "B"; expected "A" g(*ab) # E: Argument 1 to "g" has incompatible type "*list[B]"; expected "A" f(a, *ab) f(a, b, *ab) f(a, b, b, *ab) g(*aa) [builtins fixtures/list.pyi] [case testCallingVarArgsFunctionWithTupleVarArgs] def f(a: 'A', *b: 'B') -> None: pass class A: pass class B: pass class C: pass class CC(C): pass a: A b: B c: C cc: CC f(*(b, b, b)) # E: Argument 1 to "f" has incompatible type "*tuple[B, B, B]"; expected "A" f(*(a, a, b)) # E: Argument 1 to "f" has incompatible type "*tuple[A, A, B]"; expected "B" f(*(a, b, a)) # E: Argument 1 to "f" has incompatible type "*tuple[A, B, A]"; expected "B" f(a, *(a, b)) # E: Argument 2 to "f" has incompatible type "*tuple[A, B]"; expected "B" f(b, *(b, b)) # E: Argument 1 to "f" has incompatible type "B"; expected "A" f(b, b, *(b,)) # E: Argument 1 to "f" has incompatible type "B"; expected "A" f(a, a, *(b,)) # E: Argument 2 to "f" has incompatible type "A"; expected "B" f(a, b, *(a,)) # E: Argument 3 to "f" has incompatible type "*tuple[A]"; expected "B" f(*()) # E: Too few arguments for "f" f(*(a, b, b)) f(a, *(b, b)) f(a, b, *(b,)) [builtins fixtures/list.pyi] -- Varargs special cases -- --------------------- [case testDynamicVarArg] from typing import Any def f(a: 'A') -> None: pass def g(a: 'A', *b: 'A') -> None: pass class A: pass d: Any a: A f(a, a, *d) # E: Too many arguments for "f" f(a, *d) # Ok f(*d) # Ok g(*d) g(a, *d) g(a, a, *d) [builtins fixtures/list.pyi] [case testListVarArgsAndSubtyping] from typing import List def f( *a: 'A') -> None: pass def g( *a: 'B') -> None: pass class A: pass class B(A): pass aa: List[A] ab: List[B] g(*aa) # E: Argument 1 to "g" has incompatible type "*list[A]"; expected "B" f(*aa) f(*ab) g(*ab) [builtins fixtures/list.pyi] [case testCallerVarArgsAndDefaultArgs] # flags: --implicit-optional --no-strict-optional def f(a: 'A', b: 'B' = None, *c: 'B') -> None: pass class A: pass class B: pass a, b = None, None # type: (A, B) f(*()) # E: Too few arguments for "f" f(a, *[a]) # E: Argument 2 to "f" has incompatible type "*list[A]"; expected "Optional[B]" \ # E: Argument 2 to "f" has incompatible type "*list[A]"; expected "B" f(a, b, *[a]) # E: Argument 3 to "f" has incompatible type "*list[A]"; expected "B" f(*(a, a, b)) # E: Argument 1 to "f" has incompatible type "*tuple[A, A, B]"; expected "Optional[B]" f(*(a,)) f(*(a, b)) f(*(a, b, b, b)) f(a, *[]) f(a, *[b]) f(a, *[b, b]) [builtins fixtures/list.pyi] [case testVarArgsAfterKeywordArgInCall1] # see: mypy issue #2729 def f(x: int, y: str) -> None: pass f(x=1, *[2]) [builtins fixtures/list.pyi] [out] main:3: error: "f" gets multiple values for keyword argument "x" main:3: error: Argument 1 to "f" has incompatible type "*list[int]"; expected "str" [case testVarArgsAfterKeywordArgInCall2] # see: mypy issue #2729 def f(x: int, y: str) -> None: pass f(y='x', *[1]) [builtins fixtures/list.pyi] [out] main:3: error: "f" gets multiple values for keyword argument "y" main:3: error: Argument 1 to "f" has incompatible type "*list[int]"; expected "str" [case testVarArgsAfterKeywordArgInCall3] def f(x: int, y: str) -> None: pass f(y='x', *(1,)) [builtins fixtures/list.pyi] [case testVarArgsAfterKeywordArgInCall4] def f(x: int, *, y: str) -> None: pass f(y='x', *[1]) [builtins fixtures/list.pyi] [case testVarArgsAfterKeywordArgInCall5] def f(x: int, *, y: str) -> None: pass f(y='x', *(1,)) [builtins fixtures/list.pyi] [case testVarArgsEmptyList] from typing import List def foo() -> None: pass lst: List[int] = [] foo(*lst) [builtins fixtures/list.pyi] [case testVarArgsEmptyTuple] def foo() -> None: pass foo(*()) [builtins fixtures/tuple.pyi] -- Overloads + varargs -- ------------------- [case testIntersectionTypesAndVarArgs] # flags: --no-strict-optional from foo import * [file foo.pyi] from typing import overload a, b = None, None # type: (A, B) if int(): b = f() # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = f(a) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = f(a, b) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = f(b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = f(b, b) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): b = f(a, *[b]) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = f(*()) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = f(*(a,)) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): b = f(*(a, b)) # E: Incompatible types in assignment (expression has type "A", variable has type "B") if int(): a = f(*(b,)) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = f(*(b, b)) # E: Incompatible types in assignment (expression has type "B", variable has type "A") if int(): a = f(*[b]) # E: Incompatible types in assignment (expression has type "B", variable has type "A") a = f() a = f(a) a = f(a, b) b = f(b) b = f(b, b) a = f(a, *[b]) a = f(*()) a = f(*(a,)) a = f(*(a, b)) b = f(*(b,)) b = f(*(b, b)) b = f(*[b]) class A: pass class B: pass @overload def f(a: A = None, *b: B) -> A: pass @overload def f(a: B, *b: B) -> B: pass [builtins fixtures/list.pyi] -- Caller varargs + type inference -- ------------------------------- [case testCallerVarArgsListWithTypeInference] from typing import List, TypeVar, Tuple S = TypeVar('S') T = TypeVar('T') def f(a: S, *b: T) -> Tuple[S, T]: pass class A: pass class B: pass a: A b: B aa: List[A] if int(): a, b = f(*aa) # E: Argument 1 to "f" has incompatible type "*list[A]"; expected "B" if int(): b, b = f(*aa) # E: Argument 1 to "f" has incompatible type "*list[A]"; expected "B" if int(): a, a = f(b, *aa) # E: Argument 1 to "f" has incompatible type "B"; expected "A" if int(): b, b = f(b, *aa) # E: Argument 2 to "f" has incompatible type "*list[A]"; expected "B" if int(): b, b = f(b, b, *aa) # E: Argument 3 to "f" has incompatible type "*list[A]"; expected "B" if int(): a, b = f(a, *a) # E: Expected iterable as variadic argument if int(): a, b = f(*a) # E: Expected iterable as variadic argument if int(): a, a = f(*aa) if int(): b, a = f(b, *aa) if int(): b, a = f(b, a, *aa) [builtins fixtures/list.pyi] [case testCallerVarArgsTupleWithTypeInference] from typing import TypeVar, Tuple S = TypeVar('S') T = TypeVar('T') def f(a: S, b: T) -> Tuple[S, T]: pass class A: pass class B: pass a: A b: B if int(): a, a = f(*(a, b)) # E: Argument 1 to "f" has incompatible type "*tuple[A, B]"; expected "A" if int(): b, b = f(a, *(b,)) # E: Argument 1 to "f" has incompatible type "A"; expected "B" if int(): a, a = f(*(a, b)) # E: Argument 1 to "f" has incompatible type "*tuple[A, B]"; expected "A" if int(): b, b = f(a, *(b,)) # E: Argument 1 to "f" has incompatible type "A"; expected "B" if int(): a, b = f(*(a, b, b)) # E: Too many arguments for "f" if int(): a, b = f(*(a, b)) if int(): a, b = f(a, *(b,)) [builtins fixtures/list.pyi] [case testCallerVarargsAndComplexTypeInference] from typing import List, TypeVar, Generic, Tuple T = TypeVar('T') S = TypeVar('S') a: A b: B ao: List[object] aa: List[A] ab: List[B] class G(Generic[T]): def f(self, *a: S) -> Tuple[List[S], List[T]]: pass class A: pass class B: pass if int(): a, aa = G().f(*[a]) # E: Incompatible types in assignment (expression has type "list[A]", variable has type "A") if int(): aa, a = G().f(*[a]) # E: Incompatible types in assignment (expression has type "list[Never]", variable has type "A") if int(): ab, aa = G().f(*[a]) # E: Argument 1 to "f" of "G" has incompatible type "*list[A]"; expected "B" if int(): ao, ao = G().f(*[a]) if int(): aa, aa = G().f(*[a]) [builtins fixtures/list.pyi] [case testCallerTupleVarArgsAndGenericCalleeVarArg] from typing import TypeVar T = TypeVar('T') def f(*args: T) -> T: ... reveal_type(f(*(1, None))) # N: Revealed type is "Union[Literal[1]?, None]" reveal_type(f(1, *(None, 1))) # N: Revealed type is "Union[Literal[1]?, None]" reveal_type(f(1, *(1, None))) # N: Revealed type is "Union[Literal[1]?, None]" [builtins fixtures/tuple.pyi] -- Comment signatures -- ------------------ [case testVarArgsAndCommentSignature] import typing def f(*x): # type: (*int) -> None pass f(1) f(1, 2) f('') # E: Argument 1 to "f" has incompatible type "str"; expected "int" f(1, '') # E: Argument 2 to "f" has incompatible type "str"; expected "int" [builtins fixtures/list.pyi] -- Subtyping -- --------- [case testVarArgsFunctionSubtyping] from typing import Callable x: Callable[[int], None] def f(*x: int) -> None: pass def g(*x: str) -> None: pass x = f x = g # E: Incompatible types in assignment (expression has type "def g(*x: str) -> None", variable has type "Callable[[int], None]") [builtins fixtures/list.pyi] [out] -- Decorated method where self is implied by *args -- ----------------------------------------------- [case testVarArgsCallableSelf] from typing import Callable def cm(func) -> Callable[..., None]: pass class C: @cm def foo(self) -> None: pass C().foo() C().foo(1) # The decorator's return type says this should be okay [case testInvariantDictArgNote] from typing import Dict, Sequence def f(x: Dict[str, Sequence[int]]) -> None: pass def g(x: Dict[str, float]) -> None: pass def h(x: Dict[str, int]) -> None: pass a = {'a': [1, 2]} b = {'b': ['c', 'd']} c = {'c': 1.0} d = {'d': 1} f(a) # E: Argument 1 to "f" has incompatible type "dict[str, list[int]]"; expected "dict[str, Sequence[int]]" \ # N: "dict" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Mapping" instead, which is covariant in the value type f(b) # E: Argument 1 to "f" has incompatible type "dict[str, list[str]]"; expected "dict[str, Sequence[int]]" g(c) g(d) # E: Argument 1 to "g" has incompatible type "dict[str, int]"; expected "dict[str, float]" \ # N: "dict" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Mapping" instead, which is covariant in the value type h(c) # E: Argument 1 to "h" has incompatible type "dict[str, float]"; expected "dict[str, int]" h(d) [builtins fixtures/dict.pyi] [typing fixtures/typing-medium.pyi] [case testInvariantListArgNote] from typing import List, Union def f(numbers: List[Union[int, float]]) -> None: pass a = [1, 2] f(a) # E: Argument 1 to "f" has incompatible type "list[int]"; expected "list[Union[int, float]]" \ # N: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance \ # N: Consider using "Sequence" instead, which is covariant x = [1] y = ['a'] if int(): x = y # E: Incompatible types in assignment (expression has type "list[str]", variable has type "list[int]") [builtins fixtures/list.pyi] [case testInvariantTypeConfusingNames] from typing import TypeVar class Listener: pass class DictReader: pass def f(x: Listener) -> None: pass def g(y: DictReader) -> None: pass a = [1, 2] b = {'b': 1} f(a) # E: Argument 1 to "f" has incompatible type "list[int]"; expected "Listener" g(b) # E: Argument 1 to "g" has incompatible type "dict[str, int]"; expected "DictReader" [builtins fixtures/dict.pyi] [case testInvariantTypeConfusingNames2] from typing import Iterable, Generic, TypeVar, List T = TypeVar('T') class I(Iterable[T]): ... class Bad(Generic[T]): ... def bar(*args: float) -> float: ... good1: Iterable[float] good2: List[float] good3: I[float] bad1: I[str] bad2: Bad[float] bar(*good1) bar(*good2) bar(*good3) bar(*bad1) # E: Argument 1 to "bar" has incompatible type "*I[str]"; expected "float" bar(*bad2) # E: Expected iterable as variadic argument [builtins fixtures/dict.pyi] -- Keyword arguments unpacking [case testUnpackKwargsReveal] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(arg: bool, **kwargs: Unpack[Person]) -> None: ... reveal_type(foo) # N: Revealed type is "def (arg: builtins.bool, **kwargs: Unpack[TypedDict('__main__.Person', {'name': builtins.str, 'age': builtins.int})])" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackOutsideOfKwargs] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(x: Unpack[Person]) -> None: # E: Unpack is only valid in a variadic position ... def bar(x: int, *args: Unpack[Person]) -> None: # E: "Person" cannot be unpacked (must be tuple or TypeVarTuple) ... def baz(**kwargs: Unpack[Person]) -> None: # OK ... [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackWithoutTypedDict] from typing_extensions import Unpack def foo(**kwargs: Unpack[dict]) -> None: # E: Unpack item in ** argument must be a TypedDict ... [builtins fixtures/dict.pyi] [case testUnpackWithDuplicateKeywords] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(name: str, **kwargs: Unpack[Person]) -> None: # E: Overlap between argument names and ** TypedDict items: "name" ... [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackWithDuplicateKeywordKwargs] from typing_extensions import Unpack from typing import Dict, List, TypedDict class Spec(TypedDict): args: List[int] kwargs: Dict[int, int] def foo(**kwargs: Unpack[Spec]) -> None: # Allowed ... foo(args=[1], kwargs={"2": 3}) # E: Dict entry 0 has incompatible type "str": "int"; expected "int": "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsNonIdentifier] from typing import TypedDict from typing_extensions import Unpack Weird = TypedDict("Weird", {"@": int}) def foo(**kwargs: Unpack[Weird]) -> None: reveal_type(kwargs["@"]) # N: Revealed type is "builtins.int" foo(**{"@": 42}) foo(**{"no": "way"}) # E: Argument 1 to "foo" has incompatible type "**dict[str, str]"; expected "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsEmpty] from typing import TypedDict from typing_extensions import Unpack Empty = TypedDict("Empty", {}) def foo(**kwargs: Unpack[Empty]) -> None: # N: "foo" defined here reveal_type(kwargs) # N: Revealed type is "TypedDict('__main__.Empty', {})" foo() foo(x=1) # E: Unexpected keyword argument "x" for "foo" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackTypedDictTotality] from typing import TypedDict from typing_extensions import Unpack class Circle(TypedDict, total=True): radius: int color: str x: int y: int def foo(**kwargs: Unpack[Circle]): ... foo(x=0, y=0, color='orange') # E: Missing named argument "radius" for "foo" class Square(TypedDict, total=False): side: int color: str def bar(**kwargs: Unpack[Square]): ... bar(side=12) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackUnexpectedKeyword] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict, total=False): name: str age: int def foo(**kwargs: Unpack[Person]) -> None: # N: "foo" defined here ... foo(name='John', age=42, department='Sales') # E: Unexpected keyword argument "department" for "foo" foo(name='Jennifer', age=38) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKeywordTypes] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(**kwargs: Unpack[Person]): ... foo(name='John', age='42') # E: Argument "age" to "foo" has incompatible type "str"; expected "int" foo(name='Jennifer', age=38) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKeywordTypesTypedDict] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int class LegacyPerson(TypedDict): name: str age: str def foo(**kwargs: Unpack[Person]) -> None: ... lp = LegacyPerson(name="test", age="42") foo(**lp) # E: Argument "age" to "foo" has incompatible type "str"; expected "int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testFunctionBodyWithUnpackedKwargs] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(**kwargs: Unpack[Person]) -> int: name: str = kwargs['name'] age: str = kwargs['age'] # E: Incompatible types in assignment (expression has type "int", variable has type "str") department: str = kwargs['department'] # E: TypedDict "Person" has no key "department" return kwargs['age'] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsOverrides] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int class Base: def foo(self, **kwargs: Unpack[Person]) -> None: ... class SubGood(Base): def foo(self, *, name: str, age: int, extra: bool = False) -> None: ... class SubBad(Base): def foo(self, *, name: str, age: str) -> None: ... # E: Argument 2 of "foo" is incompatible with supertype "Base"; supertype defines the argument type as "int" \ # N: This violates the Liskov substitution principle \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsOverridesTypedDict] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int class PersonExtra(Person, total=False): extra: bool class Unrelated(TypedDict): baz: int class Base: def foo(self, **kwargs: Unpack[Person]) -> None: ... class SubGood(Base): def foo(self, **kwargs: Unpack[PersonExtra]) -> None: ... class SubBad(Base): def foo(self, **kwargs: Unpack[Unrelated]) -> None: ... # E: Signature of "foo" incompatible with supertype "Base" \ # N: Superclass: \ # N: def foo(*, name: str, age: int) -> None \ # N: Subclass: \ # N: def foo(self, *, baz: int) -> None [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsGeneric] from typing import Generic, TypedDict, TypeVar from typing_extensions import Unpack T = TypeVar("T") class Person(TypedDict, Generic[T]): name: str value: T def foo(**kwargs: Unpack[Person[T]]) -> T: ... reveal_type(foo(name="test", value=42)) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsInference] from typing import Generic, TypedDict, TypeVar, Protocol from typing_extensions import Unpack T_contra = TypeVar("T_contra", contravariant=True) class CBPerson(Protocol[T_contra]): def __call__(self, **kwargs: Unpack[Person[T_contra]]) -> None: ... T = TypeVar("T") class Person(TypedDict, Generic[T]): name: str value: T def test(cb: CBPerson[T]) -> T: ... def foo(*, name: str, value: int) -> None: ... reveal_type(test(foo)) # N: Revealed type is "builtins.int" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsOverload] from typing import TypedDict, Any, overload from typing_extensions import Unpack class Person(TypedDict): name: str age: int class Fruit(TypedDict): sort: str taste: int @overload def foo(**kwargs: Unpack[Person]) -> int: ... @overload def foo(**kwargs: Unpack[Fruit]) -> str: ... def foo(**kwargs: Any) -> Any: ... reveal_type(foo(sort="test", taste=999)) # N: Revealed type is "builtins.str" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsJoin] from typing import TypedDict from typing_extensions import Unpack class Person(TypedDict): name: str age: int def foo(*, name: str, age: int) -> None: ... def bar(**kwargs: Unpack[Person]) -> None: ... reveal_type([foo, bar]) # N: Revealed type is "builtins.list[def (*, name: builtins.str, age: builtins.int)]" reveal_type([bar, foo]) # N: Revealed type is "builtins.list[def (*, name: builtins.str, age: builtins.int)]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackKwargsParamSpec] from typing import Callable, Any, TypedDict, TypeVar, List from typing_extensions import ParamSpec, Unpack class Person(TypedDict): name: str age: int P = ParamSpec('P') T = TypeVar('T') def dec(f: Callable[P, T]) -> Callable[P, List[T]]: ... @dec def g(**kwargs: Unpack[Person]) -> int: ... reveal_type(g) # N: Revealed type is "def (*, name: builtins.str, age: builtins.int) -> builtins.list[builtins.int]" [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackGenericTypedDictImplicitAnyEnabled] from typing import Generic, TypedDict, TypeVar from typing_extensions import Unpack T = TypeVar("T") class TD(TypedDict, Generic[T]): key: str value: T def foo(**kwds: Unpack[TD]) -> None: ... # Same as `TD[Any]` foo(key="yes", value=42) foo(key="yes", value="ok") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackGenericTypedDictImplicitAnyDisabled] # flags: --disallow-any-generics from typing import Generic, TypedDict, TypeVar from typing_extensions import Unpack T = TypeVar("T") class TD(TypedDict, Generic[T]): key: str value: T def foo(**kwds: Unpack[TD]) -> None: ... # E: Missing type parameters for generic type "TD" foo(key="yes", value=42) foo(key="yes", value="ok") [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [case testUnpackNoCrashOnEmpty] from typing_extensions import Unpack class C: def __init__(self, **kwds: Unpack) -> None: ... # E: Unpack[...] requires exactly one type argument class D: def __init__(self, **kwds: Unpack[int, str]) -> None: ... # E: Unpack[...] requires exactly one type argument [builtins fixtures/dict.pyi] [case testUnpackInCallableType] from typing import Callable, TypedDict from typing_extensions import Unpack class TD(TypedDict): key: str value: str foo: Callable[[Unpack[TD]], None] foo(key="yes", value=42) # E: Argument "value" has incompatible type "int"; expected "str" foo(key="yes", value="ok") bad: Callable[[*TD], None] # E: "TD" cannot be unpacked (must be tuple or TypeVarTuple) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/check-warnings.test0000644000175100017510000001426515112307767020740 0ustar00runnerrunner-- Test cases for warning generation. -- Redundant casts -- --------------- [case testRedundantCast] # flags: --warn-redundant-casts from typing import cast a = 1 b = cast(str, a) c = cast(int, a) [out] main:5: error: Redundant cast to "int" [case testRedundantCastWithIsinstance] # flags: --warn-redundant-casts from typing import cast, Union x = 1 # type: Union[int, str] if isinstance(x, str): cast(str, x) [builtins fixtures/isinstance.pyi] [out] main:5: error: Redundant cast to "str" [case testCastToSuperclassNotRedundant] # flags: --warn-redundant-casts from typing import cast, TypeVar, List T = TypeVar('T') def add(xs: List[T], ys: List[T]) -> List[T]: pass class A: pass class B(A): pass a = A() b = B() # Without the cast, the following line would fail to type check. c = add([cast(A, b)], [a]) [builtins fixtures/list.pyi] [case testCastToAnyTypeNotRedundant] # flags: --warn-redundant-casts from typing import cast, Any a: Any b = cast(Any, a) [builtins fixtures/list.pyi] [case testCastToObjectNotRedunant] # flags: --warn-redundant-casts from typing import cast a = 1 b = cast(object, 1) [case testCastFromLiteralRedundant] # flags: --warn-redundant-casts from typing import cast cast(int, 1) [out] main:4: error: Redundant cast to "int" [case testCastFromUnionOfAnyOk] # flags: --warn-redundant-casts from typing import Any, cast, Union x = Any y = Any z = Any def f(q: Union[x, y, z]) -> None: cast(Union[x, y], q) -- Unused 'type: ignore' comments -- ------------------------------ [case testUnusedTypeIgnore] # flags: --warn-unused-ignores a = 1 if int(): a = 'a' # type: ignore if int(): a = 2 # type: ignore # E: Unused "type: ignore" comment if int(): a = 'b' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [case testUnusedTypeIgnoreImport] # flags: --warn-unused-ignores import banana # type: ignore import m # type: ignore from m import * # type: ignore [file m.py] pass [out] main:3: error: Unused "type: ignore" comment main:4: error: Unused "type: ignore" comment -- No return -- --------- [case testNoReturn] # flags: --warn-no-return def f() -> int: pass def g() -> int: if bool(): return 1 [builtins fixtures/list.pyi] [out] main:5: error: Missing return statement [case testNoReturnWhile] # flags: --warn-no-return def h() -> int: while True: if bool(): return 1 def i() -> int: while 1: if bool(): return 1 if bool(): break def j() -> int: while 1: if bool(): return 1 if bool(): continue [builtins fixtures/list.pyi] [out] main:7: error: Missing return statement [case testNoReturnExcept] # flags: --warn-no-return def f() -> int: try: return 1 except: pass def g() -> int: try: pass except: return 1 else: return 1 def h() -> int: try: pass except: pass else: pass finally: return 1 [builtins fixtures/exception.pyi] [out] main:2: error: Missing return statement [case testNoReturnEmptyBodyWithDocstring] def f() -> int: """Return the number of peppers.""" # This might be an @abstractmethod, for example pass [out] -- Returning Any -- ------------- [case testReturnAnyFromTypedFunction] # flags: --warn-return-any from typing import Any def g() -> Any: pass def f() -> int: return g() [out] main:4: error: Returning Any from function declared to return "int" [case testReturnAnyForNotImplementedInBinaryMagicMethods] # flags: --warn-return-any class A: def __eq__(self, other: object) -> bool: return NotImplemented [builtins fixtures/notimplemented.pyi] [out] [case testReturnAnyForNotImplementedInNormalMethods] # flags: --warn-return-any class A: def some(self) -> bool: return NotImplemented [builtins fixtures/notimplemented.pyi] [out] main:3: error: Returning Any from function declared to return "bool" [case testReturnAnyFromTypedFunctionWithSpecificFormatting] # flags: --warn-return-any from typing import Any, Tuple typ = Tuple[int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int] def g() -> Any: pass def f() -> typ: return g() [builtins fixtures/tuple.pyi] [out] main:11: error: Returning Any from function declared to return "tuple[int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int]" [case testReturnAnySilencedFromTypedFunction] # flags: --warn-return-any from typing import Any def g() -> Any: pass def f() -> int: result = g() # type: int return result [out] [case testReturnAnyFromUntypedFunction] # flags: --warn-return-any from typing import Any def g() -> Any: pass def f(): return g() [out] [case testReturnAnyFromAnyTypedFunction] # flags: --warn-return-any from typing import Any def g() -> Any: pass def f() -> Any: return g() [out] [case testOKReturnAnyIfProperSubtype] # flags: --warn-return-any from typing import Any, Optional class Test(object): def __init__(self) -> None: self.attr = "foo" # type: Any def foo(self, do_it: bool) -> Optional[Any]: if do_it: return self.attr # Should not warn here else: return None [builtins fixtures/list.pyi] [out] [case testReturnAnyDeferred] # flags: --warn-return-any def foo(a1: A) -> int: if a1._x: return 1 n = 1 return n class A: def __init__(self, x: int) -> None: self._x = x ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/cmdline.pyproject.test0000644000175100017510000001275215112307767021465 0ustar00runnerrunner-- Tests for command line parsing -- ------------------------------ -- -- The initial line specifies the command line, in the format -- -- # cmd: mypy -- -- Note that # flags: --some-flag IS NOT SUPPORTED. -- Use # cmd: mypy --some-flag ... -- -- '== Return code: ' is added to the output when the process return code -- is "nonobvious" -- that is, when it is something other than 0 if there are no -- messages and 1 if there are. -- Directories/packages on the command line -- ---------------------------------------- [case testNonArrayOverridesPyprojectTOML] # cmd: mypy x.py [file pyproject.toml] \[tool.mypy] \[tool.mypy.overrides] module = "x" disallow_untyped_defs = false [file x.py] def f(a): pass def g(a: int) -> int: return f(a) [out] pyproject.toml: tool.mypy.overrides sections must be an array. Please make sure you are using double brackets like so: [[tool.mypy.overrides]] == Return code: 0 [case testNoModuleInOverridePyprojectTOML] # cmd: mypy x.py [file pyproject.toml] \[tool.mypy] \[[tool.mypy.overrides]] disallow_untyped_defs = false [file x.py] def f(a): pass def g(a: int) -> int: return f(a) [out] pyproject.toml: toml config file contains a [[tool.mypy.overrides]] section, but no module to override was specified. == Return code: 0 [case testInvalidModuleInOverridePyprojectTOML] # cmd: mypy x.py [file pyproject.toml] \[tool.mypy] \[[tool.mypy.overrides]] module = 0 disallow_untyped_defs = false [file x.py] def f(a): pass def g(a: int) -> int: return f(a) [out] pyproject.toml: toml config file contains a [[tool.mypy.overrides]] section with a module value that is not a string or a list of strings == Return code: 0 [case testConflictingModuleInOverridesPyprojectTOML] # cmd: mypy x.py [file pyproject.toml] \[tool.mypy] \[[tool.mypy.overrides]] module = 'x' disallow_untyped_defs = false \[[tool.mypy.overrides]] module = ['x'] disallow_untyped_defs = true [file x.py] def f(a): pass def g(a: int) -> int: return f(a) [out] pyproject.toml: toml config file contains [[tool.mypy.overrides]] sections with conflicting values. Module 'x' has two different values for 'disallow_untyped_defs' == Return code: 0 [case testMultilineLiteralExcludePyprojectTOML] # cmd: mypy x [file pyproject.toml] \[tool.mypy] exclude = '''(?x)( (^|/)[^/]*skipme_\.py$ |(^|/)_skipme[^/]*\.py$ )''' [file x/__init__.py] i: int = 0 [file x/_skipme_please.py] This isn't even syntactically valid! [file x/please_skipme_.py] Neither is this! [case testMultilineBasicExcludePyprojectTOML] # cmd: mypy x [file pyproject.toml] \[tool.mypy] exclude = """(?x)( (^|/)[^/]*skipme_\\.py$ |(^|/)_skipme[^/]*\\.py$ )""" [file x/__init__.py] i: int = 0 [file x/_skipme_please.py] This isn't even syntactically valid! [file x/please_skipme_.py] Neither is this! [case testSequenceExcludePyprojectTOML] # cmd: mypy x [file pyproject.toml] \[tool.mypy] exclude = [ '(^|/)[^/]*skipme_\.py$', # literal (no escaping) "(^|/)_skipme[^/]*\\.py$", # basic (backslash needs escaping) ] [file x/__init__.py] i: int = 0 [file x/_skipme_please.py] This isn't even syntactically valid! [file x/please_skipme_.py] Neither is this! [case testPyprojectTOMLUnicode] # cmd: mypy x.py [file pyproject.toml] \[project] description = "Factory ⸻ A code generator 🏭" \[tool.mypy] [file x.py] [case testPyprojectFilesTrailingComma] # cmd: mypy [file pyproject.toml] \[tool.mypy] # We combine multiple tests in a single one here, because these tests are slow. files = """ a.py, b.py, """ always_true = """ FLAG_A1, FLAG_B1, """ always_false = """ FLAG_A2, FLAG_B2, """ [file a.py] x: str = 'x' # ok' # --always-true FLAG_A1 = False FLAG_B1 = False if not FLAG_A1: # unreachable x: int = 'x' if not FLAG_B1: # unreachable y: int = 'y' # --always-false FLAG_A2 = True FLAG_B2 = True if FLAG_A2: # unreachable x: int = 'x' if FLAG_B2: # unreachable y: int = 'y' [file b.py] y: int = 'y' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file c.py] # This should not trigger any errors, because it is not included: z: int = 'z' [out] [case testPyprojectModulesTrailingComma] # cmd: mypy [file pyproject.toml] \[tool.mypy] # We combine multiple tests in a single one here, because these tests are slow. modules = """ a, b, """ disable_error_code = """ operator, import, """ enable_error_code = """ redundant-expr, ignore-without-code, """ [file a.py] x: str = 'x' # ok # --enable-error-code a: int = 'a' # type: ignore # --disable-error-code 'a' + 1 [file b.py] y: int = 'y' [file c.py] # This should not trigger any errors, because it is not included: z: int = 'z' [out] b.py:1: error: Incompatible types in assignment (expression has type "str", variable has type "int") a.py:4: error: "type: ignore" comment without error code (consider "type: ignore[assignment]" instead) [case testPyprojectPackagesTrailingComma] # cmd: mypy [file pyproject.toml] \[tool.mypy] packages = """ a, b, """ [file a/__init__.py] x: str = 'x' # ok [file b/__init__.py] y: int = 'y' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file c/__init__.py] # This should not trigger any errors, because it is not included: z: int = 'z' [out] [case testPyprojectTOMLSettingOfWrongType] # cmd: mypy a.py [file pyproject.toml] \[tool.mypy] enable_error_code = true [file a.py] x: int = 1 [out] pyproject.toml: [mypy]: enable_error_code: Expected a list or a stringified version thereof, but got: 'True', of type bool. == Return code: 0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/cmdline.test0000644000175100017510000010544315112307767017447 0ustar00runnerrunner-- Tests for command line parsing -- ------------------------------ -- -- The initial line specifies the command line, in the format -- -- # cmd: mypy -- -- Note that # flags: --some-flag IS NOT SUPPORTED. -- Use # cmd: mypy --some-flag ... -- -- '== Return code: ' is added to the output when the process return code -- is "nonobvious" -- that is, when it is something other than 0 if there are no -- messages and 1 if there are. -- Directories/packages on the command line -- ---------------------------------------- [case testCmdlinePackage] # cmd: mypy pkg [file pkg/__init__.py] [file pkg/a.py] undef [file pkg/subpkg/__init__.py] [file pkg/subpkg/a.py] undef import pkg.subpkg.a [out] pkg/a.py:1: error: Name "undef" is not defined pkg/subpkg/a.py:1: error: Name "undef" is not defined [case testCmdlinePackageSlash] # cmd: mypy pkg/ [file pkg/__init__.py] [file pkg/a.py] undef [file pkg/subpkg/__init__.py] [file pkg/subpkg/a.py] undef import pkg.subpkg.a [out] pkg/a.py:1: error: Name "undef" is not defined pkg/subpkg/a.py:1: error: Name "undef" is not defined [case testCmdlineNonPackage] # cmd: mypy dir [file dir/a.py] undef [file dir/subdir/b.py] undef [out] dir/a.py:1: error: Name "undef" is not defined dir/subdir/b.py:1: error: Name "undef" is not defined [case testCmdlineNonPackageDuplicate] # cmd: mypy dir [file dir/a.py] undef [file dir/subdir/a.py] undef [out] dir/a.py: error: Duplicate module named "a" (also at "dir/subdir/a.py") dir/a.py: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#mapping-file-paths-to-modules for more info dir/a.py: note: Common resolutions include: a) using `--exclude` to avoid checking one of them, b) adding `__init__.py` somewhere, c) using `--explicit-package-bases` or adjusting MYPYPATH == Return code: 2 [case testCmdlineNonPackageSlash] # cmd: mypy dir/ [file dir/a.py] undef import b [file dir/subdir/b.py] undef import a [out] dir/a.py:1: error: Name "undef" is not defined dir/subdir/b.py:1: error: Name "undef" is not defined [case testCmdlinePackageContainingSubdir] # cmd: mypy pkg [file pkg/__init__.py] [file pkg/a.py] undef import pkg.a [file pkg/subdir/a.py] undef import pkg.a [out] pkg/a.py:1: error: Name "undef" is not defined pkg/subdir/a.py:1: error: Name "undef" is not defined [case testCmdlineNonPackageContainingPackage] # cmd: mypy dir [file dir/a.py] undef import subpkg.a [file dir/subpkg/__init__.py] [file dir/subpkg/a.py] undef [out] dir/subpkg/a.py:1: error: Name "undef" is not defined dir/a.py:1: error: Name "undef" is not defined [case testCmdlineInvalidPackageName] # cmd: mypy dir/sub.pkg/a.py [file dir/sub.pkg/__init__.py] [file dir/sub.pkg/a.py] undef [out] sub.pkg is not a valid Python package name == Return code: 2 [case testBadFileEncoding] # cmd: mypy a.py [file a.py] # coding: uft-8 [out] mypy: can't decode file 'a.py': unknown encoding: uft-8 == Return code: 2 -- ' [case testCannotIgnoreDuplicateModule] # cmd: mypy one/mod/__init__.py two/mod/__init__.py [file one/mod/__init__.py] # type: ignore [file two/mod/__init__.py] # type: ignore [out] two/mod/__init__.py: error: Duplicate module named "mod" (also at "one/mod/__init__.py") two/mod/__init__.py: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#mapping-file-paths-to-modules for more info two/mod/__init__.py: note: Common resolutions include: a) using `--exclude` to avoid checking one of them, b) adding `__init__.py` somewhere, c) using `--explicit-package-bases` or adjusting MYPYPATH == Return code: 2 -- Note that we use `----`, because this is how `--` is escaped while `--` is a comment starter. [case testFlagsFile] # cmd: mypy @flagsfile [file flagsfile] ----always-true=FLAG main.py [file main.py] x: int FLAG = False if not FLAG: x = "unreachable" [case testConfigFile] # cmd: mypy main.py [file mypy.ini] \[mypy] always_true = FLAG [file main.py] x: int FLAG = False if not FLAG: x = "unreachable" [case testAltConfigFile] # cmd: mypy --config-file config.ini main.py [file config.ini] \[mypy] always_true = FLAG [file main.py] x: int FLAG = False if not FLAG: x = "unreachable" [case testPerFileConfigSectionMultipleMatchesDisallowed] # cmd: mypy xx.py xy.py yx.py yy.py [file mypy.ini] \[mypy] \[mypy-*x*] disallow_untyped_defs = True \[mypy-*y*] disallow_untyped_calls = True [file xx.py] def f(a): pass def g(a: int) -> int: return f(a) [file xy.py] def f(a): pass def g(a: int) -> int: return f(a) [file yx.py] def f(a): pass def g(a: int) -> int: return f(a) [file yy.py] def f(a): pass def g(a: int) -> int: return f(a) [out] mypy.ini: [mypy-*x*]: Patterns must be fully-qualified module names, optionally with '*' in some components (e.g spam.*.eggs.*) mypy.ini: [mypy-*y*]: Patterns must be fully-qualified module names, optionally with '*' in some components (e.g spam.*.eggs.*) == Return code: 0 [case testMultipleGlobConfigSection] # cmd: mypy x.py y.py z.py [file mypy.ini] \[mypy] \[mypy-x.*,z.*] disallow_untyped_defs = True [file x.py] def f(a): pass [file y.py] def f(a): pass [file z.py] def f(a): pass [out] z.py:1: error: Function is missing a type annotation x.py:1: error: Function is missing a type annotation [case testConfigErrorNoSection] # cmd: mypy -c pass [file mypy.ini] [out] mypy.ini: No [mypy] section in config file == Return code: 0 [case testConfigErrorUnknownFlag] # cmd: mypy -c pass [file mypy.ini] \[mypy] bad = 0 [out] mypy.ini: [mypy]: Unrecognized option: bad = 0 == Return code: 0 [case testConfigErrorBadFlag] # cmd: mypy a.py [file mypy.ini] \[mypy] disallow-untyped-defs = True [file a.py] def f(): pass [out] mypy.ini: [mypy]: Unrecognized option: disallow-untyped-defs = True == Return code: 0 [case testConfigErrorBadBoolean] # cmd: mypy -c pass [file mypy.ini] \[mypy] ignore_missing_imports = nah [out] mypy.ini: [mypy]: ignore_missing_imports: Not a boolean: nah == Return code: 0 [case testConfigErrorNotPerFile] # cmd: mypy -c pass [file mypy.ini] \[mypy] \[mypy-*] python_version = 3.11 [out] mypy.ini: [mypy-*]: Per-module sections should only specify per-module flags (python_version) == Return code: 0 [case testConfigMypyPath] # cmd: mypy file.py [file mypy.ini] \[mypy] mypy_path = foo_dir:bar_dir , baz_dir [file foo_dir/foo.pyi] def foo(x: int) -> str: ... [file bar_dir/bar.pyi] def bar(x: str) -> list: ... [file baz_dir/baz.pyi] def baz(x: list) -> dict: ... [file file.py] import no_stubs from foo import foo from bar import bar from baz import baz baz(bar(foo(42))) baz(bar(foo('oof'))) [out] file.py:1: error: Cannot find implementation or library stub for module named "no_stubs" file.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports file.py:6: error: Argument 1 to "foo" has incompatible type "str"; expected "int" [case testConfigFollowImportsSysPath] # cmd: mypy main.py [file main.py] from a import x x + 0 x + '' # E import a a.x + 0 a.x + '' # E a.y # E a + 0 # E [file mypy.ini] \[mypy] follow_imports = normal no_silence_site_packages = True [file pypath/a/__init__.py] x = 0 x += '' # Error reported here [file pypath/a/py.typed] [out] pypath/a/__init__.py:2: error: Unsupported operand types for + ("int" and "str") main.py:3: error: Unsupported operand types for + ("int" and "str") main.py:6: error: Unsupported operand types for + ("int" and "str") main.py:7: error: Module has no attribute "y" main.py:8: error: Unsupported operand types for + (Module and "int") [case testConfigFollowImportsInvalid] # cmd: mypy main.py [file mypy.ini] \[mypy] follow_imports =True [file main.py] [out] mypy.ini: [mypy]: follow_imports: invalid choice 'True' (choose from 'normal', 'silent', 'skip', 'error') == Return code: 0 [case testFailedImportOnWrongCWD] # cmd: mypy main.py # cwd: main/subdir1/subdir2 [file main/subdir1/subdir2/main.py] import parent import grandparent import missing [file main/subdir1/subdir2/__init__.py] [file main/subdir1/parent.py] [file main/subdir1/__init__.py] [file main/grandparent.py] [file main/__init__.py] [out] main.py:1: error: Cannot find implementation or library stub for module named "parent" main.py:1: note: You may be running mypy in a subpackage, mypy should be run on the package root main.py:2: error: Cannot find implementation or library stub for module named "grandparent" main.py:3: error: Cannot find implementation or library stub for module named "missing" main.py:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testImportInParentButNoInit] # cmd: mypy main.py # cwd: main/not_a_package [file main/not_a_package/main.py] import needs_init [file main/needs_init.py] [file main/__init__.py] [out] main.py:1: error: Cannot find implementation or library stub for module named "needs_init" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testConfigNoErrorForUnknownXFlagInSubsection] # cmd: mypy -c pass [file mypy.ini] \[mypy] \[mypy-foo] x_bad = 0 [out] [case testDotInFilenameOKScript] # cmd: mypy a.b.py c.d.pyi [file a.b.py] undef [file c.d.pyi] whatever [out] c.d.pyi:1: error: Name "whatever" is not defined a.b.py:1: error: Name "undef" is not defined [case testDotInFilenameOKFolder] # cmd: mypy my.folder [file my.folder/tst.py] undef [out] my.folder/tst.py:1: error: Name "undef" is not defined [case testDotInFilenameNoImport] # cmd: mypy main.py [file main.py] import a.b [file a.b.py] whatever [out] main.py:1: error: Cannot find implementation or library stub for module named "a.b" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main.py:1: error: Cannot find implementation or library stub for module named "a" [case testPythonVersionWrongFormatPyProjectTOML] # cmd: mypy -c pass [file pyproject.toml] \[tool.mypy] python_version = 3.10 [out] pyproject.toml: [mypy]: python_version: Python 3.1 is not supported (must be 3.9 or higher). You may need to put quotes around your Python version == Return code: 0 [case testPythonVersionTooOld10] # cmd: mypy -c pass [file mypy.ini] \[mypy] python_version = 1.0 [out] mypy.ini: [mypy]: python_version: Python major version '1' out of range (must be 3) == Return code: 0 [case testPythonVersionTooOld38] # cmd: mypy -c pass [file mypy.ini] \[mypy] python_version = 3.8 [out] mypy.ini: [mypy]: python_version: Python 3.8 is not supported (must be 3.9 or higher) == Return code: 0 [case testPythonVersionTooNew40] # cmd: mypy -c pass [file mypy.ini] \[mypy] python_version = 4.0 [out] mypy.ini: [mypy]: python_version: Python major version '4' out of range (must be 3) == Return code: 0 [case testPythonVersionTooDead27] # cmd: mypy -c pass [file mypy.ini] \[mypy] python_version = 2.7 [out] usage: mypy [-h] [-v] [-V] [more options; see below] [-m MODULE] [-p PACKAGE] [-c PROGRAM_TEXT] [files ...] mypy: error: Mypy no longer supports checking Python 2 code. Consider pinning to mypy<0.980 if you need to check Python 2 code. == Return code: 2 [case testPythonVersionAccepted39] # cmd: mypy -c pass [file mypy.ini] \[mypy] python_version = 3.9 [out] [case testPythonVersionAccepted314] # cmd: mypy -c pass [file mypy.ini] \[mypy] python_version = 3.14 [out] [case testPythonVersionFallback] # cmd: mypy main.py [file main.py] import sys if sys.version_info == (3, 9): # Update here when bumping the min Python version! reveal_type("good") [file mypy.ini] \[mypy] python_version = 3.8 [out] mypy.ini: [mypy]: python_version: Python 3.8 is not supported (must be 3.9 or higher) main.py:3: note: Revealed type is "Literal['good']?" == Return code: 0 -- This should be a dumping ground for tests of plugins that are sensitive to -- typeshed changes. [case testTypeshedSensitivePlugins] # cmd: mypy int_pow.py [file int_pow.py] a = 1 b = a + 2 reveal_type(a**0) reveal_type(a**1) reveal_type(a**2) reveal_type(a**-0) reveal_type(a**-1) reveal_type(a**(-2)) reveal_type(a**b) reveal_type(a.__pow__(2)) reveal_type(a.__pow__(a)) [out] int_pow.py:3: note: Revealed type is "Literal[1]" int_pow.py:4: note: Revealed type is "builtins.int" int_pow.py:5: note: Revealed type is "builtins.int" int_pow.py:6: note: Revealed type is "Literal[1]" int_pow.py:7: note: Revealed type is "builtins.float" int_pow.py:8: note: Revealed type is "builtins.float" int_pow.py:9: note: Revealed type is "Any" int_pow.py:10: note: Revealed type is "builtins.int" int_pow.py:11: note: Revealed type is "Any" == Return code: 0 [case testDisallowAnyGenericsBuiltinCollections] # cmd: mypy m.py [file mypy.ini] \[mypy] \[mypy-m] disallow_any_generics = True [file m.py] def j(s: frozenset) -> None: pass [out] m.py:1: error: Missing type parameters for generic type "frozenset" [case testDisallowAnyGenericsTypingCollections] # cmd: mypy m.py [file mypy.ini] \[mypy] \[mypy-m] disallow_any_generics = True [file m.py] from typing import FrozenSet def j(s: FrozenSet) -> None: pass [out] m.py:2: error: Missing type parameters for generic type "FrozenSet" [case testSectionInheritance] # cmd: mypy a [file a/__init__.py] 0() [file a/foo.py] 0() [file a/b/__init__.py] [file a/b/c/__init__.py] 0() [file a/b/c/d/__init__.py] [file a/b/c/d/e/__init__.py] from typing import List def g(x: List) -> None: pass g(None) [file mypy.ini] \[mypy] allow_any_generics = True \[mypy-a.*] ignore_errors = True \[mypy-a.b.*] disallow_any_generics = True ignore_errors = True \[mypy-a.b.c.*] ignore_errors = True \[mypy-a.b.c.d.*] ignore_errors = True \[mypy-a.b.c.d.e.*] ignore_errors = True strict_optional = True \[mypy-a.b.c.d.e] ignore_errors = False [out] a/b/c/d/e/__init__.py:2: error: Missing type parameters for generic type "List" a/b/c/d/e/__init__.py:3: error: Argument 1 to "g" has incompatible type "None"; expected "list[Any]" [case testMissingFile] # cmd: mypy nope.py [out] mypy: can't read file 'nope.py': No such file or directory == Return code: 2 --' [case testModulesAndPackages] # cmd: mypy --package p.a --package p.b --module c [file p/__init__.py] [file p/a.py] def foo(x): # type: (int) -> str return "x" foo("wrong") [file p/b/__init__.py] from ..a import foo def bar(a): # type: (int) -> str return foo(a) bar("wrong") [file c.py] import p.b p.b.bar("wrong") [out] p/a.py:4: error: Argument 1 to "foo" has incompatible type "str"; expected "int" p/b/__init__.py:5: error: Argument 1 to "bar" has incompatible type "str"; expected "int" c.py:2: error: Argument 1 to "bar" has incompatible type "str"; expected "int" [case testSrcPEP420Packages] # cmd: mypy -p anamespace --namespace-packages [file mypy.ini] \[mypy] mypy_path = src [file src/setup.cfg] [file src/anamespace/foo/__init__.py] [file src/anamespace/foo/bar.py] def bar(a: int, b: int) -> str: return a + b [out] src/anamespace/foo/bar.py:2: error: Incompatible return value type (got "int", expected "str") [case testNestedPEP420Packages] # cmd: mypy -p pkg --namespace-packages [file pkg/a1/b/c/d/e.py] x = 0 # type: str [file pkg/a1/b/f.py] from pkg.a1.b.c.d.e import x x() [file pkg/a2/__init__.py] [file pkg/a2/b/c/d/e.py] x = 0 # type: str [file pkg/a2/b/f.py] from pkg.a2.b.c.d.e import x x() [out] pkg/a2/b/c/d/e.py:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") pkg/a1/b/c/d/e.py:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") pkg/a2/b/f.py:2: error: "str" not callable pkg/a1/b/f.py:2: error: "str" not callable [case testFollowImportStubs1] # cmd: mypy main.py [file mypy.ini] \[mypy] \[mypy-math.*] follow_imports = error follow_imports_for_stubs = True [file main.py] import math math.frobnicate() [out] main.py:1: error: Import of "math" ignored main.py:1: note: (Using --follow-imports=error, module not passed on command line) [case testFollowImportStubs2] # cmd: mypy main.py [file mypy.ini] \[mypy] \[mypy-math.*] follow_imports = skip follow_imports_for_stubs = True [file main.py] import math math.frobnicate() [case testShadowFile1] # cmd: mypy --shadow-file source.py shadow.py source.py [file source.py] def foo() -> str: return "bar" [file shadow.py] def bar() -> str: return 14 [out] source.py:2: error: Incompatible return value type (got "int", expected "str") [case testShadowFile2] # cmd: mypy --shadow-file s1.py shad1.py --shadow-file s2.py shad2.py --shadow-file s3.py shad3.py s1.py s2.py s3.py s4.py [file s1.py] def foo() -> str: return "bar" [file shad1.py] def bar() -> str: return 14 [file s2.py] def baz() -> str: return 14 [file shad2.py] def baz() -> int: return 14 [file s3.py] def qux() -> str: return "bar" [file shad3.py] def foo() -> int: return [42] [file s4.py] def foo() -> str: return 9 [out] s4.py:2: error: Incompatible return value type (got "int", expected "str") s3.py:2: error: Incompatible return value type (got "list[int]", expected "int") s1.py:2: error: Incompatible return value type (got "int", expected "str") [case testShadowFileWithPretty] # cmd: mypy a.py --pretty --shadow-file a.py b.py [file a.py] b: bytes [file b.py] a: int = "" b: bytes = 1 [out] a.py:1: error: Incompatible types in assignment (expression has type "str", variable has type "int") a: int = "" ^~ a.py:2: error: Incompatible types in assignment (expression has type "int", variable has type "bytes") b: bytes = 1 ^ [case testConfigWarnUnusedSection1] # cmd: mypy foo.py quux.py spam/eggs.py [file mypy.ini] \[mypy] warn_unused_configs = True incremental = False \[mypy-bar] \[mypy-foo] \[mypy-baz.*] \[mypy-quux.*] \[mypy-spam.*] \[mypy-spam.eggs] \[mypy-emarg.*] \[mypy-emarg.hatch] -- Currently we don't treat an unstructured pattern like a.*.b as unused -- if it matches another section (like a.x.b). This would be reasonable -- to change. ' \[mypy-a.*.b] \[mypy-a.*.c] \[mypy-a.x.b] [file foo.py] [file quux.py] [file spam/__init__.py] [file spam/eggs.py] [out] Warning: unused section(s) in mypy.ini: [mypy-bar], [mypy-baz.*], [mypy-emarg.*], [mypy-emarg.hatch], [mypy-a.*.c], [mypy-a.x.b] == Return code: 0 [case testConfigUnstructuredGlob] # cmd: mypy emarg foo [file mypy.ini] \[mypy] ignore_errors = true \[mypy-*.lol] ignore_errors = false \[mypy-emarg.*] ignore_errors = false \[mypy-emarg.*.villip.*] ignore_errors = true \[mypy-emarg.hatch.villip.mankangulisk] ignore_errors = false [file emarg/__init__.py] [file emarg/foo.py] fail [file emarg/villip.py] fail [file emarg/hatch/__init__.py] [file emarg/hatch/villip/__init__.py] [file emarg/hatch/villip/nus.py] fail [file emarg/hatch/villip/mankangulisk.py] fail [file foo/__init__.py] [file foo/lol.py] fail [out] foo/lol.py:1: error: Name "fail" is not defined emarg/foo.py:1: error: Name "fail" is not defined emarg/hatch/villip/mankangulisk.py:1: error: Name "fail" is not defined [case testPackageRootEmpty] # cmd: mypy --no-namespace-packages --package-root= a/b/c.py main.py [file a/b/c.py] [file main.py] import a.b.c [case testPackageRootEmptyNamespacePackage] # cmd: mypy --namespace-packages --package-root= a/b/c.py main.py [file a/b/c.py] [file main.py] import a.b.c [case testPackageRootNonEmpty] # cmd: mypy --package-root=a/ a/b/c.py main.py [file a/b/c.py] [file main.py] import b.c [case testPackageRootMultiple1] # cmd: mypy --package-root=. --package-root=a a/b/c.py d.py main.py [file a/b/c.py] [file d.py] [file main.py] import b.c import d [case testPackageRootMultiple2] # cmd: mypy --package-root=a/ --package-root=./ a/b/c.py d.py main.py [file a/b/c.py] [file d.py] [file main.py] import b.c import d [case testCacheMap] -- This just checks that a valid --cache-map triple is accepted. -- (Errors are too verbose to check.) # cmd: mypy a.py --no-sqlite-cache --cache-map a.py a.meta.json a.data.json [file a.py] [out] [case testIniFiles] # cmd: mypy [file mypy.ini] \[mypy] files = a.py, b.py [file a.py] fail [file b.py] fail [out] b.py:1: error: Name "fail" is not defined a.py:1: error: Name "fail" is not defined [case testIniFilesGlobbing] # cmd: mypy [file mypy.ini] \[mypy] files = **/*.py [file a/b.py] fail [file c.py] fail [out] a/b.py:1: error: Name "fail" is not defined c.py:1: error: Name "fail" is not defined [case testIniFilesCmdlineOverridesConfig] # cmd: mypy override.py [file mypy.ini] \[mypy] files = config.py [out] mypy: can't read file 'override.py': No such file or directory == Return code: 2 [case testErrorSummaryOnSuccess] # cmd: mypy --error-summary good.py [file good.py] x = 2 + 2 [out] Success: no issues found in 1 source file == Return code: 0 [case testErrorSummaryOnFail] # cmd: mypy --error-summary bad.py [file bad.py] 42 + 'no' [out] bad.py:1: error: Unsupported operand types for + ("int" and "str") Found 1 error in 1 file (checked 1 source file) [case testErrorSummaryOnFailNotes] # cmd: mypy --error-summary bad.py [file bad.py] from typing import List x = [] # type: List[float] y = [] # type: List[int] x = y [out] bad.py:4: error: Incompatible types in assignment (expression has type "list[int]", variable has type "list[float]") bad.py:4: note: "list" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance bad.py:4: note: Consider using "Sequence" instead, which is covariant Found 1 error in 1 file (checked 1 source file) [case testErrorSummaryOnFailTwoErrors] # cmd: mypy --error-summary bad.py foo.py [file bad.py] 42 + 'no' 42 + 'no' [file foo.py] [out] bad.py:1: error: Unsupported operand types for + ("int" and "str") bad.py:2: error: Unsupported operand types for + ("int" and "str") Found 2 errors in 1 file (checked 2 source files) [case testErrorSummaryOnFailTwoFiles] # cmd: mypy --error-summary bad.py bad2.py [file bad.py] 42 + 'no' [file bad2.py] 42 + 'no' [out] bad2.py:1: error: Unsupported operand types for + ("int" and "str") bad.py:1: error: Unsupported operand types for + ("int" and "str") Found 2 errors in 2 files (checked 2 source files) [case testErrorSummaryOnBadUsage] # cmd: mypy --error-summary missing.py [out] mypy: can't read file 'missing.py': No such file or directory == Return code: 2 [case testShowSourceCodeSnippetsWrappedFormatting] # cmd: mypy --pretty some_file.py [file some_file.py] from typing import Union 42 + 'no way' class OneCustomClassName: def some_interesting_method(self, arg: AnotherCustomClassDefinedBelow) -> AnotherCustomClassDefinedBelow: ... class AnotherCustomClassDefinedBelow: def another_even_more_interesting_method(self, arg: Union[int, str, float]) -> None: self.very_important_attribute_with_long_name: OneCustomClassName = OneCustomClassName().some_interesting_method(arg) [out] some_file.py:3: error: Unsupported operand types for + ("int" and "str") 42 + 'no way' ^~~~~~~~ some_file.py:11: error: Incompatible types in assignment (expression has type "AnotherCustomClassDefinedBelow", variable has type "OneCustomClassName") ...t_attribute_with_long_name: OneCustomClassName = OneCustomClassName().... ^~~~~~~~~~~~~~~~~~~~~... some_file.py:11: error: Argument 1 to "some_interesting_method" of "OneCustomClassName" has incompatible type "Union[int, str, float]"; expected "AnotherCustomClassDefinedBelow" ...OneCustomClassName = OneCustomClassName().some_interesting_method(arg) ^~~ [case testShowSourceCodeSnippetsBlockingError] # cmd: mypy --pretty --show-error-codes some_file.py [file some_file.py] it_looks_like_we_started_typing_something_but_then. = did_not_notice(an_extra_dot) [out] some_file.py:1: error: Invalid syntax [syntax] ...ooks_like_we_started_typing_something_but_then. = did_not_notice(an_ex... ^ == Return code: 2 [case testTabRenderingUponError] # cmd: mypy --pretty tabs.py [file tabs.py] def test_tabs() -> str: return None def test_between(x: str) -> None: ... test_between(1 + 1) [out] tabs.py:2: error: Incompatible return value type (got "None", expected "str") return None ^~~~ tabs.py:4: error: Argument 1 to "test_between" has incompatible type "int"; expected "str" test_between(1 + 1) ^~~~~~~~~~~~ [case testErrorMessageWhenOpenPydFile] # cmd: mypy a.pyd [file a.pyd] # coding: uft-8 [out] mypy: stubgen does not support .pyd files: 'a.pyd' == Return code: 2 [case testDuplicateModules] # cmd: mypy src [file mypy.ini] \[mypy] mypy_path = src [file src/__init__.py] [file src/a.py] import foo.bar [file src/foo/__init__.py] [file src/foo/bar.py] 1+'x' [out] src/foo/bar.py: error: Source file found twice under different module names: "src.foo.bar" and "foo.bar" src/foo/bar.py: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#mapping-file-paths-to-modules for more info src/foo/bar.py: note: Common resolutions include: a) adding `__init__.py` somewhere, b) using `--explicit-package-bases` or adjusting MYPYPATH == Return code: 2 [case testEnableInvalidErrorCode] # cmd: mypy --enable-error-code YOLO test.py [file test.py] x = 1 [out] mypy: error: Invalid error code(s): YOLO == Return code: 2 [case testDisableInvalidErrorCode] # cmd: mypy --disable-error-code YOLO test.py [file test.py] x = 1 [out] mypy: error: Invalid error code(s): YOLO == Return code: 2 [case testEnableAndDisableInvalidErrorCode] # cmd: mypy --disable-error-code YOLO --enable-error-code YOLO2 test.py [file test.py] x = 1 [out] mypy: error: Invalid error code(s): YOLO, YOLO2 == Return code: 2 [case testEnableValidAndInvalidErrorCode] # cmd: mypy --enable-error-code attr-defined --enable-error-code YOLO test.py [file test.py] x = 1 [out] mypy: error: Invalid error code(s): YOLO == Return code: 2 [case testDisableValidAndInvalidErrorCode] # cmd: mypy --disable-error-code attr-defined --disable-error-code YOLO test.py [file test.py] x = 1 [out] mypy: error: Invalid error code(s): YOLO == Return code: 2 [case testStubsDirectory] # cmd: mypy --error-summary pkg-stubs [file pkg-stubs/__init__.pyi] [file pkg-stubs/thing.pyi] class Thing: ... [out] Success: no issues found in 2 source files == Return code: 0 [case testStubsDirectoryFile] # cmd: mypy --error-summary pkg-stubs/thing.pyi [file pkg-stubs/__init__.pyi] [file pkg-stubs/thing.pyi] class Thing: ... [out] Success: no issues found in 1 source file == Return code: 0 [case testStubsSubDirectory] # cmd: mypy --error-summary src/pkg-stubs [file src/pkg-stubs/__init__.pyi] [file src/pkg-stubs/thing.pyi] class Thing: ... [out] Success: no issues found in 2 source files == Return code: 0 [case testStubsSubDirectoryFile] # cmd: mypy --error-summary src/pkg-stubs/thing.pyi [file src/pkg-stubs/__init__.pyi] [file src/pkg-stubs/thing.pyi] class Thing: ... [out] Success: no issues found in 1 source file == Return code: 0 [case testBlocker] # cmd: mypy pkg --error-summary --disable-error-code syntax [file pkg/x.py] public static void main(String[] args) [file pkg/y.py] x: str = 0 [out] pkg/x.py:1: error: Invalid syntax Found 1 error in 1 file (errors prevented further checking) == Return code: 2 [out version>=3.10] pkg/x.py:1: error: Invalid syntax. Perhaps you forgot a comma? Found 1 error in 1 file (errors prevented further checking) == Return code: 2 [out version>=3.10.3] pkg/x.py:1: error: Invalid syntax Found 1 error in 1 file (errors prevented further checking) == Return code: 2 [case testCmdlinePackageAndFile] # cmd: mypy -p pkg file [out] usage: mypy [-h] [-v] [-V] [more options; see below] [-m MODULE] [-p PACKAGE] [-c PROGRAM_TEXT] [files ...] mypy: error: May only specify one of: module/package, files, or command. == Return code: 2 [case testCmdlinePackageAndIniFiles] # cmd: mypy -p pkg [file mypy.ini] \[mypy] files=file [file pkg.py] x = 0 # type: str [file file.py] y = 0 # type: str [out] pkg.py:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testCmdlineModuleAndIniFiles] # cmd: mypy -m pkg [file mypy.ini] \[mypy] files=file [file pkg.py] x = 0 # type: str [file file.py] y = 0 # type: str [out] pkg.py:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testCmdlineNonInteractiveWithoutInstallTypes] # cmd: mypy --non-interactive -m pkg [out] error: --non-interactive is only supported with --install-types == Return code: 2 [case testCmdlineNonInteractiveInstallTypesNothingToDo] # cmd: mypy --install-types --non-interactive -m pkg [file pkg.py] 1() [out] pkg.py:1: error: "int" not callable [case testCmdlineNonInteractiveInstallTypesNothingToDoNoError] # cmd: mypy --install-types --non-interactive -m pkg [file pkg.py] 1 + 2 [out] [case testCmdlineNonInteractiveInstallTypesNoSitePackages] # cmd: mypy --install-types --non-interactive --no-site-packages -m pkg [out] error: --install-types not supported without python executable or site packages == Return code: 2 [case testCmdlineInteractiveInstallTypesNothingToDo] # cmd: mypy --install-types -m pkg [file pkg.py] 1() [out] pkg.py:1: error: "int" not callable [case testCmdlineExclude] # cmd: mypy --exclude abc . [file abc/apkg.py] 1() [file b/bpkg.py] 1() [file c/cpkg.py] 1() [out] c/cpkg.py:1: error: "int" not callable b/bpkg.py:1: error: "int" not callable [case testCmdlineMultipleExclude] # cmd: mypy --exclude abc --exclude b/ . [file abc/apkg.py] 1() [file b/bpkg.py] 1() [file c/cpkg.py] 1() [out] c/cpkg.py:1: error: "int" not callable [case testCmdlineExcludeGitignore] # cmd: mypy --exclude-gitignore . [file .gitignore] abc [file abc/apkg.py] 1() [file b/.gitignore] bpkg.* [file b/bpkg.py] 1() [file c/cpkg.py] 1() [out] c/cpkg.py:1: error: "int" not callable [case testCmdlineCfgExclude] # cmd: mypy . [file mypy.ini] \[mypy] exclude = abc [file abc/apkg.py] 1() [file b/bpkg.py] 1() [file c/cpkg.py] 1() [out] c/cpkg.py:1: error: "int" not callable b/bpkg.py:1: error: "int" not callable [case testCmdlineCfgMultipleExclude] # cmd: mypy . [file mypy.ini] \[mypy] exclude = (?x)( ^abc/ |^b/ ) [file abc/apkg.py] 1() [file b/bpkg.py] 1() [file c/cpkg.py] 1() [out] c/cpkg.py:1: error: "int" not callable [case testCmdlineTimingStats] # cmd: mypy --timing-stats timing.txt . [file b/__init__.py] [file b/c.py] class C: pass [outfile-re timing.txt] .* b \d+ b\.c \d+ .* [case testShadowTypingModuleEarlyLoad] # cmd: mypy dir [file dir/__init__.py] from typing import Union def foo(a: Union[int, str]) -> str: return str [file typing.py] # Since this file will be picked by mypy itself, we need it to be a fully-working typing # A bare minimum would be NamedTuple and TypedDict, which are used in runtime, # everything else technically can be just mocked. import sys import os del sys.modules["typing"] path = sys.path try: sys.path.remove(os.getcwd()) except ValueError: sys.path.remove("") # python 3.6 from typing import * sys.path = path [out] mypy: "typing.py" shadows library module "typing" note: A user-defined top-level module with name "typing" is not supported == Return code: 2 [case testCustomTypeshedDirWithRelativePathDoesNotCrash] # cmd: mypy --custom-typeshed-dir dir dir/typing.pyi [file dir/stdlib/abc.pyi] [file dir/stdlib/builtins.pyi] [file dir/stdlib/sys.pyi] [file dir/stdlib/types.pyi] [file dir/stdlib/typing.pyi] [file dir/stdlib/typing_extensions.pyi] [file dir/stdlib/_typeshed.pyi] [file dir/stdlib/_collections_abc.pyi] [file dir/stdlib/collections/abc.pyi] [file dir/stdlib/collections/__init__.pyi] [file dir/stdlib/VERSIONS] [out] Failed to find builtin module mypy_extensions, perhaps typeshed is broken? == Return code: 2 [case testCustomTypeshedDirFilePassedExplicitly] # cmd: mypy --custom-typeshed-dir dir m.py dir/stdlib/foo.pyi [file m.py] 1() [file dir/stdlib/abc.pyi] 1() # Errors are not reported from typeshed by default [file dir/stdlib/builtins.pyi] class object: pass class str(object): pass class int(object): pass class list: pass class dict: pass [file dir/stdlib/sys.pyi] [file dir/stdlib/types.pyi] [file dir/stdlib/typing.pyi] [file dir/stdlib/mypy_extensions.pyi] [file dir/stdlib/typing_extensions.pyi] [file dir/stdlib/_typeshed.pyi] [file dir/stdlib/_collections_abc.pyi] [file dir/stdlib/collections/abc.pyi] [file dir/stdlib/collections/__init__.pyi] [file dir/stdlib/foo.pyi] 1() # Errors are reported if the file was explicitly passed on the command line [file dir/stdlib/VERSIONS] [out] dir/stdlib/foo.pyi:1: error: "int" not callable m.py:1: error: "int" not callable [case testFileInPythonPathPassedExplicitly1] # cmd: mypy $CWD/pypath/foo.py [file pypath/foo.py] 1() [out] pypath/foo.py:1: error: "int" not callable [case testFileInPythonPathPassedExplicitly2] # cmd: mypy pypath/foo.py [file pypath/foo.py] 1() [out] pypath/foo.py:1: error: "int" not callable [case testFileInPythonPathPassedExplicitly3] # cmd: mypy -p foo # cwd: pypath [file pypath/foo/__init__.py] 1() [file pypath/foo/m.py] 1() [out] foo/m.py:1: error: "int" not callable foo/__init__.py:1: error: "int" not callable [case testFileInPythonPathPassedExplicitly4] # cmd: mypy -m foo # cwd: pypath [file pypath/foo.py] 1() [out] foo.py:1: error: "int" not callable [case testFileInPythonPathPassedExplicitly5] # cmd: mypy -m foo.m # cwd: pypath [file pypath/foo/__init__.py] 1() # TODO: Maybe this should generate errors as well? But how would we decide? [file pypath/foo/m.py] 1() [out] foo/m.py:1: error: "int" not callable [case testCmdlineCfgFilesTrailingComma] # cmd: mypy [file mypy.ini] \[mypy] files = a.py, b.py, [file a.py] x: str = 'x' # ok [file b.py] y: int = 'y' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file c.py] # This should not trigger any errors, because it is not included: z: int = 'z' [out] [case testCmdlineCfgEnableErrorCodeTrailingComma] # cmd: mypy . [file mypy.ini] \[mypy] enable_error_code = truthy-bool, redundant-expr, [out] [case testCmdlineCfgDisableErrorCodeTrailingComma] # cmd: mypy . [file mypy.ini] \[mypy] disable_error_code = misc, override, [out] [case testCmdlineCfgAlwaysTrueTrailingComma] # cmd: mypy . [file mypy.ini] \[mypy] always_true = MY_VAR, [out] [case testCmdlineCfgModulesTrailingComma] # cmd: mypy [file mypy.ini] \[mypy] modules = a, b, [file a.py] x: str = 'x' # ok [file b.py] y: int = 'y' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file c.py] # This should not trigger any errors, because it is not included: z: int = 'z' [out] [case testCmdlineCfgPackagesTrailingComma] # cmd: mypy [file mypy.ini] \[mypy] packages = a, b, [file a/__init__.py] x: str = 'x' # ok [file b/__init__.py] y: int = 'y' # E: Incompatible types in assignment (expression has type "str", variable has type "int") [file c/__init__.py] # This should not trigger any errors, because it is not included: z: int = 'z' [out] [case testTypeVarTupleUnpackEnabled] # cmd: mypy --enable-incomplete-feature=TypeVarTuple --enable-incomplete-feature=Unpack a.py [file a.py] from typing_extensions import TypeVarTuple Ts = TypeVarTuple("Ts") [out] Warning: TypeVarTuple is already enabled by default Warning: Unpack is already enabled by default == Return code: 0 [case testImportlibImportCannotBeResolved] # cmd: mypy a.py # This test is here because it needs use_builtins_fixtures off. [file a.py] from typing import NamedTuple class CodecKey(NamedTuple): def foo(self) -> "CodecKey": ... [file mypy.ini] \[mypy] \[mypy-importlib.*] follow_imports = skip follow_imports_for_stubs = True ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/daemon.test0000644000175100017510000005544415112307767017304 0ustar00runnerrunner-- End-to-end test cases for the daemon (dmypy). -- These are special because they run multiple shell commands. [case testDaemonStartStop] $ dmypy start -- --follow-imports=error Daemon started $ dmypy stop Daemon stopped [case testDaemonBasic] $ dmypy start -- --follow-imports=error Daemon started $ dmypy check -- foo.py Success: no issues found in 1 source file $ dmypy recheck Success: no issues found in 1 source file $ dmypy stop Daemon stopped [file foo.py] def f(): pass [case testDaemonRun] $ dmypy run -- foo.py --follow-imports=error Daemon started Success: no issues found in 1 source file $ dmypy stop Daemon stopped [file foo.py] def f(): pass [case testDaemonRunIgnoreMissingImports] $ dmypy run -- foo.py --follow-imports=error --ignore-missing-imports Daemon started Success: no issues found in 1 source file $ dmypy stop Daemon stopped [file foo.py] def f(): pass [case testDaemonRunErrorCodes] $ dmypy run -- foo.py --follow-imports=error --disable-error-code=type-abstract Daemon started Success: no issues found in 1 source file $ dmypy stop Daemon stopped [file foo.py] def f(): pass [case testDaemonRunCombinedOptions] $ dmypy run -- foo.py --follow-imports=error --ignore-missing-imports --disable-error-code=type-abstract Daemon started Success: no issues found in 1 source file $ dmypy stop Daemon stopped [file foo.py] def f(): pass [case testDaemonIgnoreConfigFiles] $ dmypy start -- --follow-imports=error Daemon started [file mypy.ini] \[mypy] files = ./foo.py [case testDaemonRunMultipleStrict] $ dmypy run -- foo.py --strict --follow-imports=error Daemon started foo.py:1: error: Function is missing a return type annotation foo.py:1: note: Use "-> None" if function does not return a value Found 1 error in 1 file (checked 1 source file) == Return code: 1 $ dmypy run -- bar.py --strict --follow-imports=error bar.py:1: error: Function is missing a return type annotation bar.py:1: note: Use "-> None" if function does not return a value Found 1 error in 1 file (checked 1 source file) == Return code: 1 $ dmypy run -- foo.py --strict --follow-imports=error foo.py:1: error: Function is missing a return type annotation foo.py:1: note: Use "-> None" if function does not return a value Found 1 error in 1 file (checked 1 source file) == Return code: 1 [file foo.py] def f(): pass [file bar.py] def f(): pass [case testDaemonRunRestart] $ dmypy run -- foo.py --follow-imports=error Daemon started Success: no issues found in 1 source file $ dmypy run -- foo.py --follow-imports=error Success: no issues found in 1 source file $ {python} -c "print('[mypy]')" >mypy.ini $ {python} -c "print('disallow_untyped_defs = True')" >>mypy.ini $ dmypy run -- foo.py --follow-imports=error Restarting: configuration changed Daemon stopped Daemon started foo.py:1: error: Function is missing a return type annotation foo.py:1: note: Use "-> None" if function does not return a value Found 1 error in 1 file (checked 1 source file) == Return code: 1 $ {python} -c "print('def f() -> None: pass')" >foo.py $ dmypy run -- foo.py --follow-imports=error Success: no issues found in 1 source file $ dmypy stop Daemon stopped [file foo.py] def f(): pass [case testDaemonRunRestartPretty] $ dmypy run -- foo.py --follow-imports=error --pretty Daemon started Success: no issues found in 1 source file $ dmypy run -- foo.py --follow-imports=error --pretty Success: no issues found in 1 source file $ {python} -c "print('[mypy]')" >mypy.ini $ {python} -c "print('disallow_untyped_defs = True')" >>mypy.ini $ dmypy run -- foo.py --follow-imports=error --pretty Restarting: configuration changed Daemon stopped Daemon started foo.py:1: error: Function is missing a return type annotation def f(): ^~~~~~~~ foo.py:1: note: Use "-> None" if function does not return a value Found 1 error in 1 file (checked 1 source file) == Return code: 1 $ {python} -c "print('def f() -> None: pass')" >foo.py $ dmypy run -- foo.py --follow-imports=error --pretty Success: no issues found in 1 source file $ dmypy stop Daemon stopped [file foo.py] def f(): pass [case testDaemonRunRestartPluginVersion] $ dmypy run -- foo.py --no-error-summary Daemon started $ {python} -c "print(' ')" >> plug.py $ dmypy run -- foo.py --no-error-summary Restarting: plugins changed Daemon stopped Daemon started $ dmypy stop Daemon stopped [file mypy.ini] \[mypy] follow_imports = error plugins = plug.py [file foo.py] pass [file plug.py] from mypy.plugin import Plugin class Dummy(Plugin): pass def plugin(version): return Dummy [case testDaemonRunRestartGlobs] -- Ensure dmypy is not restarted if the configuration doesn't change and it contains globs -- Note: Backslash path separator in output is replaced with forward slash so the same test succeeds on Windows as well $ dmypy run -- foo --follow-imports=error Daemon started foo/lol.py:1: error: Name "fail" is not defined Found 1 error in 1 file (checked 3 source files) == Return code: 1 $ dmypy run -- foo --follow-imports=error foo/lol.py:1: error: Name "fail" is not defined Found 1 error in 1 file (checked 3 source files) == Return code: 1 $ {python} -c "print('[mypy]')" >mypy.ini $ {python} -c "print('ignore_errors=True')" >>mypy.ini $ dmypy run -- foo --follow-imports=error Restarting: configuration changed Daemon stopped Daemon started Success: no issues found in 3 source files $ dmypy stop Daemon stopped [file mypy.ini] \[mypy] ignore_errors = True \[mypy-*.lol] ignore_errors = False [file foo/__init__.py] [file foo/lol.py] fail [file foo/ok.py] a: int = 1 [case testDaemonStatusKillRestartRecheck] $ dmypy status No status file found == Return code: 2 $ dmypy stop No status file found == Return code: 2 $ dmypy kill No status file found == Return code: 2 $ dmypy recheck No status file found == Return code: 2 $ dmypy start -- --follow-imports=error --no-error-summary Daemon started $ dmypy status Daemon is up and running $ dmypy start Daemon is still alive == Return code: 2 $ dmypy restart -- --follow-imports=error --no-error-summary Daemon stopped Daemon started $ dmypy stop Daemon stopped $ dmypy status No status file found == Return code: 2 $ dmypy restart -- --follow-imports=error --no-error-summary Daemon started $ dmypy recheck Command 'recheck' is only valid after a 'check' command == Return code: 2 $ dmypy kill Daemon killed $ dmypy status Daemon has died == Return code: 2 [case testDaemonRecheck] $ dmypy start -- --follow-imports=error --no-error-summary Daemon started $ dmypy check foo.py bar.py $ dmypy recheck $ dmypy recheck --update foo.py --remove bar.py sir_not_appearing_in_this_film.py foo.py:1: error: Import of "bar" ignored [misc] foo.py:1: note: (Using --follow-imports=error, module not passed on command line) == Return code: 1 $ dmypy recheck --update bar.py $ dmypy recheck --update sir_not_appearing_in_this_film.py $ dmypy recheck --update --remove $ dmypy stop Daemon stopped [file foo.py] import bar [file bar.py] pass [case testDaemonTimeout] $ dmypy start --timeout 1 -- --follow-imports=error Daemon started $ {python} -c "import time;time.sleep(1)" $ dmypy status No status file found == Return code: 2 [case testDaemonRunNoTarget] $ dmypy run -- --follow-imports=error Daemon started mypy-daemon: error: Missing target module, package, files, or command. == Return code: 2 $ dmypy stop Daemon stopped [case testDaemonRunTwoFilesFullTypeshed] $ dmypy run x.py Daemon started Success: no issues found in 1 source file $ dmypy run y.py Success: no issues found in 1 source file $ dmypy run x.py Success: no issues found in 1 source file [file x.py] [file y.py] [case testDaemonCheckTwoFilesFullTypeshed] $ dmypy start Daemon started $ dmypy check foo.py foo.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") [assignment] Found 1 error in 1 file (checked 1 source file) == Return code: 1 $ dmypy check bar.py Success: no issues found in 1 source file $ dmypy check foo.py foo.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") [assignment] Found 1 error in 1 file (checked 1 source file) == Return code: 1 [file foo.py] from bar import add x: str = add("a", "b") x_error: int = add("a", "b") [file bar.py] def add(a, b) -> str: return a + b [case testDaemonWarningSuccessExitCode-posix] $ dmypy run -- foo.py --follow-imports=error --python-version=3.11 Daemon started foo.py:2: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs Success: no issues found in 1 source file $ echo $? 0 $ dmypy stop Daemon stopped [file foo.py] def foo(): a: int = 1 print(a + "2") -- this is carefully constructed to be able to break if the quickstart system lets -- something through incorrectly. in particular, the files need to have the same size [case testDaemonQuickstart] $ {python} -c "print('x=1')" >foo.py $ {python} -c "print('x=1')" >bar.py $ mypy --local-partial-types --cache-fine-grained --follow-imports=error --no-sqlite-cache --python-version=3.11 -- foo.py bar.py Success: no issues found in 2 source files $ {python} -c "import shutil; shutil.copy('.mypy_cache/3.11/bar.meta.json', 'asdf.json')" -- update bar's timestamp but don't change the file $ {python} -c "import time;time.sleep(1)" $ {python} -c "print('x=1')" >bar.py $ dmypy run -- foo.py bar.py --follow-imports=error --use-fine-grained-cache --no-sqlite-cache --python-version=3.11 Daemon started Success: no issues found in 2 source files $ dmypy status --fswatcher-dump-file test.json Daemon is up and running $ dmypy stop Daemon stopped -- copy the original bar cache file back so that the mtime mismatches $ {python} -c "import shutil; shutil.copy('asdf.json', '.mypy_cache/3.11/bar.meta.json')" -- sleep guarantees timestamp changes $ {python} -c "import time;time.sleep(1)" $ {python} -c "print('lol')" >foo.py $ dmypy run --log-file=log -- foo.py bar.py --follow-imports=error --use-fine-grained-cache --no-sqlite-cache --python-version=3.11 --quickstart-file test.json Daemon started foo.py:1: error: Name "lol" is not defined Found 1 error in 1 file (checked 2 source files) == Return code: 1 -- make sure no errors made it to the log file $ {python} -c "import sys; sys.stdout.write(open('log').read())" -- make sure the meta file didn't get updated. we use this as an imperfect proxy for -- whether the source file got rehashed, which we don't want it to have been. $ {python} -c "x = open('.mypy_cache/3.11/bar.meta.json').read(); y = open('asdf.json').read(); assert x == y" [case testDaemonSuggest] $ dmypy start --log-file log.txt -- --follow-imports=error --no-error-summary Daemon started $ dmypy suggest foo:foo Command 'suggest' is only valid after a 'check' command (that produces no parse errors) == Return code: 2 $ dmypy check foo.py bar.py $ dmypy suggest foo.bar Unknown function foo.bar == Return code: 2 $ dmypy suggest foo.var Object foo.var is not a function == Return code: 2 $ dmypy suggest foo.Foo.var Unknown class foo.Foo == Return code: 2 $ dmypy suggest foo.Bar.baz Unknown method foo.Bar.baz == Return code: 2 $ dmypy suggest foo.foo.baz Object foo.foo is not a class == Return code: 2 $ dmypy suggest --callsites foo.foo bar.py:3: (str) bar.py:4: (arg=str) $ dmypy suggest foo.foo (str) -> int $ {python} -c "import shutil; shutil.copy('foo2.py', 'foo.py')" $ dmypy check foo.py bar.py bar.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") [assignment] == Return code: 1 [file foo.py] def foo(arg): return 12 class Bar: def bar(self): pass var = 0 [file foo2.py] def foo(arg: str) -> int: return 12 class Bar: def bar(self) -> None: pass var = 0 [file bar.py] from foo import foo def bar() -> None: x = foo('abc') # type: str foo(arg='xyz') [case testDaemonInspectCheck] $ dmypy start Daemon started $ dmypy check foo.py Success: no issues found in 1 source file $ dmypy check foo.py --export-types Success: no issues found in 1 source file $ dmypy inspect foo.py:1:1 "int" [file foo.py] x = 1 [case testDaemonInspectRun] $ dmypy run test1.py Daemon started Success: no issues found in 1 source file $ dmypy run test2.py Success: no issues found in 1 source file $ dmypy run test1.py --export-types Success: no issues found in 1 source file $ dmypy inspect test1.py:1:1 "int" [file test1.py] a: int [file test2.py] a: str [case testDaemonGetType] $ dmypy start --log-file log.txt -- --follow-imports=error --no-error-summary --python-version 3.9 Daemon started $ dmypy inspect foo:1:2:3:4 Command "inspect" is only valid after a "check" command (that produces no parse errors) == Return code: 2 $ dmypy check foo.py --export-types foo.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") [assignment] == Return code: 1 $ dmypy inspect foo:1 Format should be file:line:column[:end_line:end_column] == Return code: 2 $ dmypy inspect foo:1:2:3 Source file is not a Python file == Return code: 2 $ dmypy inspect foo.py:1:2:a:b invalid literal for int() with base 10: 'a' == Return code: 2 $ dmypy inspect foo.pyc:1:1:2:2 Source file is not a Python file == Return code: 2 $ dmypy inspect bar/baz.py:1:1:2:2 Unknown module: bar/baz.py == Return code: 1 $ dmypy inspect foo.py:3:1:1:1 "end_line" must not be before "line" == Return code: 2 $ dmypy inspect foo.py:3:3:3:1 "end_column" must be after "column" == Return code: 2 $ dmypy inspect foo.py:3:10:3:17 "str" $ dmypy inspect foo.py:3:10:3:17 -vv "builtins.str" $ dmypy inspect foo.py:9:9:9:11 "int" $ dmypy inspect foo.py:11:1:11:3 "Callable[[Optional[int]], None]" $ dmypy inspect foo.py:11:1:13:1 "None" $ dmypy inspect foo.py:1:2:3:4 Can't find expression at span 1:2:3:4 == Return code: 1 $ dmypy inspect foo.py:17:5:17:5 No known type available for "NameExpr" (maybe unreachable or try --force-reload) == Return code: 1 [file foo.py] from typing import Optional x: int = "no way" # line 3 def foo(arg: Optional[int] = None) -> None: if arg is None: arg else: arg # line 9 foo( # multiline ) def unreachable(x: int) -> None: return x # line 17 [case testDaemonGetTypeInexact] $ dmypy start --log-file log.txt -- --follow-imports=error --no-error-summary Daemon started $ dmypy check foo.py --export-types $ dmypy inspect foo.py:1:a invalid literal for int() with base 10: 'a' == Return code: 2 $ dmypy inspect foo.pyc:1:2 Source file is not a Python file == Return code: 2 $ dmypy inspect bar/baz.py:1:2 Unknown module: bar/baz.py == Return code: 1 $ dmypy inspect foo.py:7:5 --include-span 7:5:7:5 -> "int" 7:5:7:11 -> "int" 7:1:7:12 -> "None" $ dmypy inspect foo.py:7:5 --include-kind NameExpr -> "int" OpExpr -> "int" CallExpr -> "None" $ dmypy inspect foo.py:7:5 --include-span --include-kind NameExpr:7:5:7:5 -> "int" OpExpr:7:5:7:11 -> "int" CallExpr:7:1:7:12 -> "None" $ dmypy inspect foo.py:7:5 -vv "builtins.int" "builtins.int" "None" $ dmypy inspect foo.py:7:5 -vv --limit=1 "builtins.int" $ dmypy inspect foo.py:7:3 "Callable[[int], None]" "None" $ dmypy inspect foo.py:1:2 Can't find any expressions at position 1:2 == Return code: 1 $ dmypy inspect foo.py:11:5 --force-reload No known type available for "NameExpr" (maybe unreachable) No known type available for "OpExpr" (maybe unreachable) == Return code: 1 [file foo.py] from typing import Optional def foo(x: int) -> None: ... a: int b: int foo(a and b) # line 7 def unreachable(x: int, y: int) -> None: return x and y # line 11 [case testDaemonGetAttrs] $ dmypy start --log-file log.txt -- --follow-imports=error --no-error-summary Daemon started $ dmypy check foo.py bar.py --export-types $ dmypy inspect foo.py:9:1 --show attrs --include-span --include-kind -vv NameExpr:9:1:9:1 -> {"foo.C": ["a", "x", "y"], "foo.B": ["a", "b"]} $ dmypy inspect foo.py:11:10 --show attrs No known type available for "StrExpr" (maybe unreachable or try --force-reload) == Return code: 1 $ dmypy inspect foo.py:1:1 --show attrs Can't find any expressions at position 1:1 == Return code: 1 $ dmypy inspect --show attrs bar.py:10:1 {"A": ["z"], "B": ["z"]} $ dmypy inspect --show attrs bar.py:10:1 --union-attrs {"A": ["x", "z"], "B": ["y", "z"]} [file foo.py] class B: def b(self) -> int: return 0 a: int class C(B): a: int y: int def x(self) -> int: return 0 v: C # line 9 if False: "unreachable" [file bar.py] from typing import Union class A: x: int z: int class B: y: int z: int var: Union[A, B] var # line 10 [case testDaemonGetDefinition] $ dmypy start --log-file log.txt -- --follow-imports=error --no-error-summary Daemon started $ dmypy check foo.py bar/baz.py bar/__init__.py --export-types $ dmypy inspect foo.py:5:1 --show definition foo.py:4:1:y $ dmypy inspect foo.py:2:3 --show definition --include-span --include-kind -vv MemberExpr:2:1:2:7 -> bar/baz.py:3:5:Alias $ dmypy inspect foo.py:3:1 --show definition Cannot find definition for "NameExpr" at 3:1:3:1 == Return code: 1 $ dmypy inspect foo.py:4:6 --show definition No name or member expressions at 4:6 == Return code: 1 $ dmypy inspect foo.py:7:1:7:6 --show definition bar/baz.py:4:5:attr $ dmypy inspect foo.py:10:10 --show definition --include-span 10:1:10:12 -> bar/baz.py:6:1:test $ dmypy inspect foo.py:14:6 --show definition --include-span --include-kind NameExpr:14:5:14:7 -> foo.py:13:9:arg MemberExpr:14:5:14:9 -> bar/baz.py:9:5:x, bar/baz.py:11:5:x [file foo.py] from bar.baz import A, B, C C.Alias x # type: ignore y = 42 y # line 5 z = C() z.attr import bar bar.baz.test() # line 10 from typing import Union def foo(arg: Union[A, B]) -> None: arg.x [file bar/__init__.py] [file bar/baz.py] from typing import Union class C: Alias = Union[int, str] attr = 42 def test() -> None: ... # line 6 class A: x: int class B: x: int [case testDaemonInspectSelectCorrectFile] $ dmypy run test.py --export-types Daemon started Success: no issues found in 1 source file $ dmypy inspect demo/test.py:1:1 "int" $ dmypy inspect test.py:1:1 "str" [file test.py] b: str from demo.test import a [file demo/test.py] a: int [case testUnusedTypeIgnorePreservedOnRerun] -- Regression test for https://github.com/python/mypy/issues/9655 $ dmypy start -- --warn-unused-ignores --no-error-summary --hide-error-codes Daemon started $ dmypy check -- bar.py bar.py:2: error: Unused "type: ignore" comment == Return code: 1 $ dmypy check -- bar.py bar.py:2: error: Unused "type: ignore" comment == Return code: 1 [file foo/__init__.py] [file foo/empty.py] [file bar.py] from foo.empty import * a = 1 # type: ignore [case testTypeIgnoreWithoutCodePreservedOnRerun] -- Regression test for https://github.com/python/mypy/issues/9655 $ dmypy start -- --enable-error-code ignore-without-code --no-error-summary Daemon started $ dmypy check -- bar.py bar.py:2: error: "type: ignore" comment without error code [ignore-without-code] == Return code: 1 $ dmypy check -- bar.py bar.py:2: error: "type: ignore" comment without error code [ignore-without-code] == Return code: 1 [file foo/__init__.py] [file foo/empty.py] [file bar.py] from foo.empty import * a = 1 # type: ignore [case testPossiblyUndefinedVarsPreservedAfterRerun] -- Regression test for https://github.com/python/mypy/issues/9655 $ dmypy start -- --enable-error-code possibly-undefined --no-error-summary Daemon started $ dmypy check -- bar.py bar.py:4: error: Name "a" may be undefined [possibly-undefined] == Return code: 1 $ dmypy check -- bar.py bar.py:4: error: Name "a" may be undefined [possibly-undefined] == Return code: 1 [file foo/__init__.py] [file foo/empty.py] [file bar.py] from foo.empty import * if False: a = 1 a [case testUnusedTypeIgnorePreservedOnRerunWithIgnoredMissingImports] $ dmypy start -- --no-error-summary --ignore-missing-imports --warn-unused-ignores Daemon started $ dmypy check foo foo/main.py:3: error: Unused "type: ignore" comment [unused-ignore] == Return code: 1 $ dmypy check foo foo/main.py:3: error: Unused "type: ignore" comment [unused-ignore] == Return code: 1 [file unused/__init__.py] [file unused/submodule.py] [file foo/empty.py] [file foo/__init__.py] from foo.main import * from unused.submodule import * [file foo/main.py] from foo import empty from foo.does_not_exist import * a = 1 # type: ignore [case testModuleDoesNotExistPreservedOnRerun] $ dmypy start -- --no-error-summary --ignore-missing-imports Daemon started $ dmypy check foo foo/main.py:1: error: Module "foo" has no attribute "does_not_exist" [attr-defined] == Return code: 1 $ dmypy check foo foo/main.py:1: error: Module "foo" has no attribute "does_not_exist" [attr-defined] == Return code: 1 [file unused/__init__.py] [file unused/submodule.py] [file foo/__init__.py] from foo.main import * [file foo/main.py] from foo import does_not_exist from unused.submodule import * [case testReturnTypeIgnoreAfterUnknownImport] -- Return type ignores after unknown imports and unused modules are respected on the second pass. $ dmypy start -- --warn-unused-ignores --no-error-summary Daemon started $ dmypy check -- foo.py foo.py:2: error: Cannot find implementation or library stub for module named "a_module_which_does_not_exist" [import-not-found] foo.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == Return code: 1 $ dmypy check -- foo.py foo.py:2: error: Cannot find implementation or library stub for module named "a_module_which_does_not_exist" [import-not-found] foo.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == Return code: 1 [file unused/__init__.py] [file unused/empty.py] [file foo.py] from unused.empty import * import a_module_which_does_not_exist def is_foo() -> str: return True # type: ignore [case testAttrsTypeIgnoreAfterUnknownImport] $ dmypy start -- --warn-unused-ignores --no-error-summary Daemon started $ dmypy check -- foo.py foo.py:3: error: Cannot find implementation or library stub for module named "a_module_which_does_not_exist" [import-not-found] foo.py:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == Return code: 1 $ dmypy check -- foo.py foo.py:3: error: Cannot find implementation or library stub for module named "a_module_which_does_not_exist" [import-not-found] foo.py:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == Return code: 1 [file unused/__init__.py] [file unused/empty.py] [file foo.py] import attr from unused.empty import * import a_module_which_does_not_exist @attr.frozen class A: def __init__(self) -> None: self.__attrs_init__() # type: ignore[attr-defined] [case testDaemonImportAncestors] $ dmypy run test.py Daemon started test.py:2: error: Unsupported operand types for + ("int" and "str") [operator] Found 1 error in 1 file (checked 1 source file) == Return code: 1 $ dmypy run test.py test.py:2: error: Unsupported operand types for + ("int" and "str") [operator] Found 1 error in 1 file (checked 1 source file) == Return code: 1 $ dmypy run test.py test.py:2: error: Unsupported operand types for + ("int" and "str") [operator] Found 1 error in 1 file (checked 1 source file) == Return code: 1 [file test.py] from xml.etree.ElementTree import Element 1 + 'a' ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/deps-classes.test0000644000175100017510000001107015112307767020412 0ustar00runnerrunner-- Test cases for generating fine-grained dependencies for classes. -- -- The dependencies are used for fined-grained incremental checking. -- -- See the comment at the top of deps.test for more documentation. -- TODO: Move class related test cases from deps.test to here [case testNamedTuple] from typing import NamedTuple, Any from a import A N = NamedTuple('N', [('a', 'A')]) def f(a: Any) -> None: n = N(a) n.a [file a.py] class A: pass [builtins fixtures/tuple.pyi] [out] -> m.f -> m.f -> m.f -> m.f -> , , m -> m [case testNamedTuple2] from typing import NamedTuple, Any, Tuple from a import A, B N = NamedTuple('N', [('a', 'Tuple[A, B]')]) def f(a: Any) -> None: n = N(a) n.a [file a.py] class A: pass class B: pass [builtins fixtures/tuple.pyi] [out] -> m.f -> m.f -> m.f -> m.f -> , , m -> , , m -> m [case testNamedTuple3] from typing import NamedTuple N = NamedTuple('N', [('x', int)]) x = N(1) M = NamedTuple('M', [('z', 'N')]) y = M(x) [builtins fixtures/tuple.pyi] [out] -> m -> m -> , m -> m -> m -> , , , , m -> m -> m [case testNamedTuple4] from typing import NamedTuple, Any from a import A class N(NamedTuple): a: A def f(a: Any) -> None: n = N(a) n.a [file a.py] class A: pass [builtins fixtures/tuple.pyi] [out] -> m.f -> m.f -> m.f -> m.N, m.f -> , , m, m.N -> m [case testIfFalseInClassBody] class A: if False: x = None # type: str x.foo() [builtins fixtures/bool.pyi] [out] -> m.A [case testAlwaysFalseIsinstanceInClassBody] class A: x: int if isinstance(x, str): y: str = None y.foo() [builtins fixtures/isinstance.pyi] [out] -> m.A [case testDoubleAttributeInitializationToNone] class C: def __init__(self) -> None: self.x = None self.x = None [out] -> m.C.__init__ -> m.C [case testClassNestedWithinFunction] class C: pass def f() -> None: class S1(C): pass class D: def g(self) -> None: class S2(C): pass [out] -- TODO: Is it okay to have targets like m.S1@4.__init__? -> , , m.D.g, m.f -> , -> , -> m.C, m.D.g, m.f -> m.D.g -> m.D -> m.f [case testClassSuper] class C: def __init__(self, x: int) -> None: pass def foo(self) -> None: pass class D(C): def __init__(self, x: int) -> None: super().__init__(x) super().foo() [out] -> , m -> , m.D.__init__ -> -> , m.D.__init__ -> m, m.C, m.D -> m.D [case testClassMissingInit] class C: def __init__(self, x: int) -> None: pass class D(C): pass def foo() -> None: D(6) [out] -> , m -> -> -> m, m.C, m.D -> m.foo -> m.foo -> m.D, m.foo [case testClassBasedEnum] from enum import Enum from m import B class A(Enum): X = B() def f(a: A) -> None: pass def g() -> None: A.X [file m.py] class B: pass [builtins fixtures/enum.pyi] [out] -> m.g -> , m.A, m.f, m.g -> m -> m -- The dependency target is superfluous but benign -> , m -> m [case testClassAttribute] class C: x = 0 def f() -> None: C.x def g() -> None: C.x = 1 [out] -> m.f, m.g -> m.C, m.f, m.g [case testStaticAndClassMethods] class C: @staticmethod def foo() -> None: h() @classmethod def bar(cls) -> None: h() def fstatic() -> None: C.foo() def fclass() -> None: C.bar() cc = C() def gstatic() -> None: cc.foo() def gclass() -> None: cc.bar() def h() -> None: pass [builtins fixtures/classmethod.pyi] [out] -> m -> m -> m, m.fclass, m.gclass -> m, m.fstatic, m.gstatic -> , m, m.C, m.fclass, m.fstatic -> m, m.gclass, m.gstatic -> m.C.bar, m.C.foo [case testClassAttributeWithMetaclass] class M(type): x = 1 class C(metaclass=M): pass def f() -> None: C.x [out] -> m.f -> m.C, m.f -> m.f -> , m, m.M ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/deps-expressions.test0000644000175100017510000001751215112307767021346 0ustar00runnerrunner-- Test cases for generating fine-grained dependencies for expressions. -- -- The dependencies are used for fined-grained incremental checking. -- -- See the comment at the top of deps.test for more documentation. [case testListExpr] def f() -> int: pass def g() -> None: a = [f()] [builtins fixtures/list.pyi] [out] -> m.g [case testDictExpr] def f1() -> int: pass def f2() -> int: pass def g() -> None: a = {f1(): 1, 2: f2()} [builtins fixtures/dict.pyi] [out] -> m.g -> m.g [case testSetExpr] def f() -> int: pass def g() -> None: a = {f()} [builtins fixtures/set.pyi] [out] -> m.g [case testTupleExpr] def f1() -> int: pass def f2() -> int: pass def g() -> None: a = (f1(), f2()) [builtins fixtures/tuple.pyi] [out] -> m.g -> m.g [case testListComprehension] from typing import Iterator class A: def __iter__(self) -> Iterator[int]: pass def f1() -> int: pass def f2() -> int: pass def g() -> None: a = [f1() for x in A() if f2()] [builtins fixtures/list.pyi] [out] -> m.g -> m.g -> m.g -> m.A, m.g -> m.g -> m.g [case testSetComprehension] from typing import Set def f1() -> int: pass def f2() -> Set[int]: pass def f3() -> int: pass def g() -> None: a = {f1() for x in f2() if f3()} [builtins fixtures/set.pyi] [out] -> m.g -> m.g -> m.g [case testDictComprehension] from typing import Iterator class A: def __iter__(self) -> Iterator[int]: pass def f1() -> int: pass def f2() -> int: pass def f3() -> int: pass def g() -> None: a = {f1(): f2() for x in A() if f3()} [builtins fixtures/dict.pyi] [out] -> m.g -> m.g -> m.g -> m.A, m.g -> m.g -> m.g -> m.g [case testGeneratorExpr] from typing import List def f1() -> int: pass def f2() -> List[int]: pass def f3() -> int: pass def g() -> None: a = (f1() for x in f2() if f3()) [builtins fixtures/list.pyi] [out] -> m.g -> m.g -> m.g [case testConditionalExpr] def f1() -> int: pass def f2() -> int: pass def f3() -> int: pass def g() -> None: a = f1() if f2() else f3() [out] -> m.g -> m.g -> m.g [case testAwaitExpr] def f(): pass async def g() -> None: x = await f() [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] -> m.g [case testStarExpr] from typing import Iterator class A: def __iter__(self) -> Iterator[int]: pass def g() -> None: a = [*A()] [builtins fixtures/list.pyi] [out] -> m.g -> , m.g -> m.g -> m.A, m.g, typing.Iterable [case testCast] from typing import cast class A: pass def f() -> object: pass def g() -> None: x = cast(A, f()) [out] -> m.A, m.g -> m.g [case testTypeApplication] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): def __init__(self, x): pass class B: pass class C: pass def f() -> int: pass def g() -> None: x = A[B, C](f()) [out] -> m.g -> m.g -> m.A, m.g -> m.B, m.g -> m.C, m.g -> m.A -> m.A -> m.g [case testIndexExpr] class A: def __getitem__(self, x: int) -> int: pass def f1() -> A: pass def f2() -> int: pass def g(a: A) -> int: return f1()[f2()] [out] -> m.g -> , , m.A, m.f1, m.g -> m.g -> m.g [case testIndexExpr2] class A: def __getitem__(self, x: int) -> int: pass def f1() -> A: pass def f2() -> int: pass def g(a: A) -> int: return f1()[f2()] [out] -> m.g -> , , m.A, m.f1, m.g -> m.g -> m.g [case testIndexExprLvalue] class A: def __setitem__(self, x: int, y: int) -> None: pass def f1() -> A: pass def f2() -> int: pass def f3() -> int: pass def g(a: A) -> None: f1()[f2()] = f3() [out] -- __getitem__ dependency is redundant but harmless -> m.g -> m.g -> , , m.A, m.f1, m.g -> m.g -> m.g -> m.g [case testUnaryExpr] class A: def __neg__(self) -> int: pass def __pos__(self) -> int: pass def __invert__(self) -> int: pass def f1() -> A: pass def f2() -> A: pass def f3() -> A: pass def g1() -> int: return +f1() def g2() -> int: return -f2() def g3() -> int: return ~f3() [out] -> m.g3 -> m.g2 -> m.g1 -> , , , m.A, m.f1, m.f2, m.f3 -> m.g1 -> m.g2 -> m.g3 [case testOpExpr] class A: def __add__(self, x: 'B') -> int: pass class B: pass def f() -> int: a: A b: B return a + b [out] -> m.f -> m.A, m.f -> m.f -> , m.A.__add__, m.B, m.f [case testComparisonExpr] class A: def __lt__(self, x: 'B') -> int: pass class B: pass def f() -> int: return A() < B() [out] -> m.f -> m.f -> m.f -> m.A, m.f -> m.f -> m.f -> m.f -> , m.A.__lt__, m.B, m.f [case testIsOp] class A: pass class B: pass def f() -> bool: return A() is B() [builtins fixtures/bool.pyi] [out] -> m.f -> m.f -> m.A, m.f -> m.f -> m.f -> m.B, m.f [case testInOp] class A: def __contains__(self, x: B) -> int: pass class B: pass def f() -> bool: return B() in A() [builtins fixtures/bool.pyi] [out] -> m.f -> m.f -> m.f -> m.A, m.f -> m.f -> m.f -> , m.A.__contains__, m.B, m.f [case testComparisonExprWithMultipleOperands] class A: def __lt__(self, x: 'B') -> int: pass class B: pass class C: def __ge__(self, x: 'B') -> int: pass def f() -> int: return A() < B() <= C() [out] -> m.f -> m.f -> m.f -> m.A, m.f -> m.f -> m.f -> m.f -> m.f -> , , m.A.__lt__, m.B, m.C.__ge__, m.f -> m.f -> m.f -> m.f -> m.C, m.f [case testOperatorWithTupleOperand] from typing import Tuple class C(Tuple[int, str]): def __and__(self, x: D) -> int: pass def __neg__(self) -> int: pass class D: pass def f() -> None: c: C d: D x = c & d y = -c [builtins fixtures/tuple.pyi] [out] -> m.f -> m.f -> m.C, m.f -> m.f -> , m.C.__and__, m.D, m.f [case testUnionTypeOperation] from typing import Union class A: def __add__(self, x: str) -> int: pass class B: def __add__(self, x: str) -> int: pass def f(a: Union[A, B]) -> int: return a + '' [out] -> m.f -> , m.A, m.f -> m.f -> , m.B, m.f [case testSliceExpr] class A: def __getitem__(self, x) -> None: pass def f1() -> int: pass def f2() -> int: pass def f3() -> int: pass def f4() -> int: pass def f5() -> int: pass def f() -> None: a: A a[f1():f2():f3()] a[f4():] a[::f5()] [builtins fixtures/slice.pyi] [out] -> m.f -> m.A, m.f -> m.f -> m.f -> m.f -> m.f -> m.f [case testRevealTypeExpr] def f1() -> int: pass def f() -> None: reveal_type(f1()) # type: ignore [out] -> m.f [case testLambdaExpr] from typing import Callable def f1(c: Callable[[int], str]) -> None: pass def f2() -> str: pass def g() -> None: f1(lambda x: f2()) [out] -> m.g -> m.g [case testLiteralDepsExpr] from typing import Literal Alias = Literal[1] a: Alias b = a def f(x: Alias) -> None: pass def g() -> Literal[1]: return b [builtins fixtures/tuple.pyi] [out] -> , m, m.f -> m -> m, m.g ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/deps-generics.test0000644000175100017510000000724215112307767020562 0ustar00runnerrunner-- Test cases for generating fine-grained dependencies involving generics. -- -- The dependencies are used for fined-grained incremental checking. -- -- See the comment at the top of deps.test for more documentation. [case testGenericFunction] from typing import TypeVar T = TypeVar('T') class A: pass def f(x: T) -> T: y: T z: A return x [out] -> m.A, m.f -> , m.f [case testGenericClass] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass class B: pass def f() -> None: a: A[B] [out] -> m.A, m.f -> m.B, m.f -> m.A [case testGenericClassWithMembers] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def g(self, a: T) -> None: self.x = a def f(self) -> T: return self.x [out] -> m.A.f, m.A.g -> m.A -> , , , m.A, m.A.f, m.A.g [case testGenericClassInit] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def __init__(self, a: T) -> None: self.x = a class B: pass def f() -> None: a = A(B()) [out] -> m.f -> m.f -> m.A.__init__ -> m.A, m.f -> m.f -> m.f -> m.B, m.f -> , , m.A, m.A.__init__ [case testGenericMethod] from typing import TypeVar T = TypeVar('T') class A: def f(self, x: T) -> T: return x [out] -> m.A -> , m.A.f [case testGenericBaseClass] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass class B(A[C]): pass class C: pass [out] -> , m -> -> -> m, m.A, m.B -> m.B -> m, m.B, m.C -> m.A [case testGenericBaseClass2] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass class B(A[T]): pass [out] -> , m -> -> -> m, m.A, m.B -> m.B -> m, m.A, m.B [case testTypeVarBound] from typing import TypeVar, Tuple class A: pass class B: pass T = TypeVar('T', bound=Tuple[A, B]) def f(x: T) -> T: return x [builtins fixtures/tuple.pyi] [out] -> , , m, m.A, m.f -> , , m, m.B, m.f -> , m.f [case testTypeVarBoundOperations] from typing import TypeVar, Tuple class A: def f(self) -> None: pass def __add__(self, other: int) -> int: pass T = TypeVar('T', bound=A) def f(x: T) -> None: x.f() x + 1 [out] -> m.f -> m.f -> , , m, m.A, m.f -> , m.f [case testTypeVarValues] from typing import TypeVar class A: pass class B: pass class C: pass class D: pass T = TypeVar('T', A, B) S = TypeVar('S', C, D) def f(x: T, y: S) -> S: pass [out] -> , , m, m.A, m.f -> , , m, m.B, m.f -> , , m, m.C, m.f -> , , m, m.D, m.f -> , m.f -> , m.f [case testTypeVarValuesMethod] from typing import TypeVar, Generic class C: pass class D: pass S = TypeVar('S', C, D) class G(Generic[S]): def f(self) -> S: pass [out] -> , , m, m.C, m.G.f -> , , m, m.D, m.G.f -> m.G -> , m.G, m.G.f [case testTypeVarValuesMethodAttr] from typing import TypeVar, Generic class A: x: int class B: x: int T = TypeVar('T', A, B) class G(Generic[T]): def f(self, x: T) -> None: x.x [out] -> m.G.f -> , , m, m.A, m.G.f -> m.G.f -> , , m, m.B, m.G.f -> m.G -> , m.G, m.G.f ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/deps-statements.test0000644000175100017510000002553515112307767021157 0ustar00runnerrunner-- Test cases for generating fine-grained dependencies for statements. -- -- The dependencies are used for fined-grained incremental checking. -- -- See the comment at the top of deps.test for more documentation. [case testIfStmt] def f1() -> int: pass def f2() -> None: pass def f3() -> int: pass def f4() -> None: pass def f5() -> None: pass def g() -> None: if f1(): f2() elif f3(): f4() else: f5() [out] -> m.g -> m.g -> m.g -> m.g -> m.g [case testWhileStmt] def f1() -> int: pass def f2() -> None: pass def f3() -> None: pass def g() -> None: while f1(): f2() else: f3() [out] -> m.g -> m.g -> m.g [case testAssertStmt] def f1() -> int: pass def f2() -> str: pass def f3() -> int: pass def g() -> None: assert f1(), f2() assert f3() [out] -> m.g -> m.g -> m.g [case testRaiseStmt] def f1() -> BaseException: pass def f2() -> BaseException: pass def g1() -> None: raise f1() def g2() -> None: raise f1() from f2() [builtins fixtures/exception.pyi] [out] -> m.g1, m.g2 -> m.g2 [case testTryFinallyStmt] def f1() -> None: pass def f2() -> None: pass def g() -> None: try: f1() finally: f2() [out] -> m.g -> m.g [case testForStmt] from typing import Iterator class A: def __iter__(self) -> Iterator[int]: pass def f1() -> None: pass def f2() -> None: pass def g() -> None: a: A for x in a: f1() else: f2() [builtins fixtures/list.pyi] [out] -> m.g -> m.g -> m.A, m.g -> m.g -> m.g [case testTryExceptStmt] class A(BaseException): pass class B(BaseException): def f(self) -> None: pass def f1() -> None: pass def f2() -> None: pass def f3() -> None: pass def g() -> None: try: f1() except A: f2() except B as e: e.f() else: f3() [builtins fixtures/exception.pyi] [out] -- The dependencies on the ctor are basically spurious but not a problem -> m.g -> m.g -> m.A, m.g -> m.g -> m.g -> m.g -> m.B, m.g -> m.g -> m.g -> m.g [case testTryExceptStmt2] class A(BaseException): pass class B(BaseException): def f(self) -> None: pass def f1() -> None: pass def f2() -> None: pass def g() -> None: try: f1() except (A, B): f2() [builtins fixtures/exception.pyi] [out] -- The dependencies on the ctor are basically spurious but not a problem -> m.g -> m.g -> m.A, m.g -> m.g -> m.g -> m.B, m.g -> m.g -> m.g [case testWithStmt] from typing import Any class A: def __enter__(self) -> 'B': pass def __exit__(self, a, b, c) -> None: pass class B: def f(self) -> None: pass def g() -> None: a: A with a as x: x.f() [out] -> m.g -> m.g -> m.A, m.g -> m.g -> , m.A.__enter__, m.B [case testWithStmt2] from typing import Any class A: def __enter__(self) -> 'C': pass def __exit__(self, a, b, c) -> None: pass class B: def __enter__(self) -> 'D': pass def __exit__(self, a, b, c) -> None: pass class C: pass class D: pass def g() -> None: a: A b: B with a as x, b as y: pass [out] -> m.g -> m.g -> m.A, m.g -> m.g -> m.g -> m.B, m.g -> , m.A.__enter__, m.C -> , m.B.__enter__, m.D [case testWithStmtAnnotation] from typing import Any class A: def __enter__(self) -> Any: pass def __exit__(self, a, b, c) -> None: pass class B: pass def f(b: B) -> None: pass def g() -> None: a: A with a as x: # type: B f(x) [out] -> m.g -> m.g -> m.A, m.g -> , m.B, m.f, m.g -> m.g [case testForStmtAnnotation] class A: def __iter__(self): pass class B: def f(self) -> None: pass def g() -> None: a: A for x in a: # type: B x.f() [builtins fixtures/list.pyi] [out] -> m.g -> m.g -> m.A, m.g -> m.g -> m.B, m.g [case testMultipleAssignment] from typing import Iterator class A: def __iter__(self) -> Iterator[int]: pass def f() -> None: a: A x, y = a [out] -> , m.f -> m.A, m.f, typing.Iterable [case testMultipleLvalues] class A: def f(self) -> None: self.x = 1 self.y = 1 def g() -> None: a: A a.x = a.y = 1 [out] -> m.A.f, m.g -> m.A.f, m.g -> m.A, m.g [case testNestedLvalues] class A: def f(self) -> None: self.x = 1 self.y = '' def g() -> None: a: A a.x, a.y = 1, '' [out] -> m.A.f, m.g -> m.A.f, m.g -> m.A, m.g [case testForAndSetItem] class A: def __setitem__(self, x: int, y: int) -> None: pass def f(): pass def g() -> None: a: A for a[0] in f(): pass [builtins fixtures/list.pyi] [out] -> m.g -> m.g -> m.A, m.g -> m.g [case testMultipleAssignmentAndFor] from typing import Iterator, Iterable class A: def f(self) -> None: self.x = 1 self.y = 1 class B: def __iter__(self) -> Iterator[int]: pass def f() -> Iterable[B]: pass def g() -> None: a: A for a.x, a.y in f(): pass [builtins fixtures/list.pyi] [out] -> m.A.f, m.g -> m.A.f, m.g -> m.A, m.g -> m.g -> , m.g -> , m.B, m.f, typing.Iterable -> m.g [case testNestedSetItem] class A: def __setitem__(self, x: int, y: int) -> None: pass class B: def __setitem__(self, x: int, y: int) -> None: pass def f(): pass def g() -> None: a: A b: B a[0], b[0] = f() [out] -> m.g -> m.g -> m.A, m.g -> m.g -> m.g -> m.B, m.g -> m.g [case testOperatorAssignmentStmt] class A: def __add__(self, other: 'B') -> 'A': pass class B: pass def f() -> B: pass def g() -> None: a: A a += f() [out] -> m.g -> m.g -> , m.A, m.A.__add__, m.g -> , , m.A.__add__, m.B, m.f -> m.g [case testOperatorAssignmentStmtSetItem] class A: def __add__(self, other: 'B') -> 'A': pass class B: pass class C: def __getitem__(self, x: int) -> A: pass def __setitem__(self, x: int, y: A) -> None: pass def f() -> int: pass def g() -> None: b: B c: C c[f()] += b [out] -> m.g -> m.g -> , , , m.A, m.A.__add__, m.C.__getitem__, m.C.__setitem__ -> , m.A.__add__, m.B, m.g -> m.g -> m.g -> m.C, m.g -> m.g [case testYieldStmt] from typing import Iterator class A: pass def f1() -> A: pass def g() -> Iterator[A]: yield f1() [builtins fixtures/list.pyi] [out] -> , , m.A, m.f1, m.g -> m.g [case testDelStmt] class A: def f(self) -> None: self.x = 1 def f() -> A: pass def g() -> None: del f().x [out] -> m.A.f, m.g -> , m.A, m.f -> m.g [case testDelStmtWithIndexing] class A: def __delitem__(self, x: int) -> None: pass def f1() -> A: pass def f2() -> int: pass def g() -> None: del f1()[f2()] [out] -> m.g -- __getitem__ is redundant but harmless -> m.g -> , m.A, m.f1 -> m.g -> m.g [case testYieldFrom] from typing import Iterator class A: def __iter__(self) -> Iterator[int]: pass def f() -> Iterator[int]: yield from A() [out] -> m.f -> , m.f -> m.f -> m.A, m.f, typing.Iterable [case testFunctionDecorator] from typing import Callable def dec(f: Callable[[int], int]) -> Callable[[str], str]: pass def f() -> int: pass @dec def g(x: int) -> int: return f() [out] -> m -> m.g -> m [case testMethodDecorator] from typing import Callable, Any def dec(f: Callable[[Any, int], int]) -> Callable[[Any, str], str]: pass def f() -> int: pass class A: @dec def g(self, x: int) -> int: return f() [out] -> m -> m.A -> m -> m.A.g [case testNestedFunction] class A: pass def h() -> None: pass def f() -> None: def g(x: A) -> None: h() [out] -> , m.A, m.f -> m.f [case testPlatformCheck] import a import sys def f() -> int: if sys.platform == 'nonexistent': return a.g() else: return 1 [file a.py] [builtins fixtures/ops.pyi] [out] -> m -> m.f -> m, m.f [case testOverload] from typing import overload class A: pass class B(A): pass @overload def f(x: B) -> B: ... @overload def f(x: A) -> A: ... def f(x: A) -> A: g() return x def g() -> None: pass [builtins fixtures/isinstancelist.pyi] [out] -> , m -> -> -> , m, m.A, m.B, m.f -> , m.B, m.f -> m.f [case testOverloadedMethod] from typing import overload class A: pass class B(A): pass class C: @overload def f(self, x: B) -> B: ... @overload def f(self, x: A) -> A: ... def f(self, x: A) -> A: self.g() return x def g(self) -> None: pass [builtins fixtures/isinstancelist.pyi] [out] -> , m -> -> -> , m, m.A, m.B, m.C.f -> , m.B, m.C.f -> m.C.f -> m.C [case testConditionalFunctionDefinition] import sys class A: pass class B: pass if sys.platform == 'nonexistent': def f(x: A) -> None: g() else: def f(x: B) -> None: h() def g() -> None: pass def h() -> None: pass [builtins fixtures/ops.pyi] [out] -> m.A -> , m.B, m.f -> m.f -> m -> m [case testConditionalMethodDefinition] import sys class A: pass class B: pass class C: if sys.platform == 'nonexistent': def f(self, x: A) -> None: self.g() else: def f(self, x: B) -> None: self.h() def g(self) -> None: pass def h(self) -> None: pass [builtins fixtures/ops.pyi] [out] -> m.A -> , m.B, m.C.f -> m.C.f -> m.C -> m -> m [case testNewType] from typing import NewType from m import C N = NewType('N', C) def f(n: N) -> None: pass [file m.py] class C: x: int [out] -> , m, m.f -> , m -> -> -> -> m, m.N -> m ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/deps-types.test0000644000175100017510000004155315112307767020132 0ustar00runnerrunner-- Test cases for generating fine-grained dependencies between types. -- -- The dependencies are used for fined-grained incremental checking. -- -- See the comment at the top of deps.test for more documentation. [case testFilterOutBuiltInTypes] class A: pass def f(x: int, y: str, z: A) -> None: pass [out] -> , m.A, m.f [case testTupleType] from typing import Tuple class A: pass class B: pass def f(x: Tuple[A, B]) -> None: pass [builtins fixtures/tuple.pyi] [out] -> , m.A, m.f -> , m.B, m.f [case testUnionType] from typing import Union class A: pass class B: pass def f() -> None: x: Union[int, A, B] [out] -> m.A, m.f -> m.B, m.f [case testCallableType] from typing import Callable class A: pass class B: pass def f() -> None: x: Callable[[int, A], None] y: Callable[[int, str], B] [out] -> m.A, m.f -> m.B, m.f [case testTypeType] from typing import Type class A: pass def f() -> None: x: Type[A] y: Type[int] [out] -> m.f -> m.f -> m.A, m.f [case testTypeTypeAttribute] from typing import Type class A: @staticmethod def f() -> None: pass def f(x: Type[A]) -> None: x.f() [builtins fixtures/staticmethod.pyi] [out] -> , m.f -> , m.f -> m, m.f -> , m.A, m.f [case testComplexNestedType] from typing import Union, Callable, Type class A: pass class B: pass class C: pass def f() -> None: x: Union[int, Callable[[Type[A]], B], C] [out] -> m.f -> m.f -> m.A, m.f -> m.B, m.f -> m.C, m.f [case testUnionTypeAttributeAccess] from typing import Union class A: def f(self) -> None: self.x = 0 class B: def f(self) -> None: self.x = '' def f(a: Union[A, B]) -> None: a.x a.f() [out] -> m.f -> m.A.f, m.f -> , m.A, m.f -> m.f -> m.B.f, m.f -> , m.B, m.f [case testTupleTypeAttributeAccess] from typing import Tuple class C(Tuple[int, str]): def f(self) -> None: pass def f(c: C) -> None: c.f() [builtins fixtures/tuple.pyi] [out] -> m.f -> , m.C, m.f [case testOverloaded] from typing import overload class A: pass class B: pass def g() -> None: pass @overload def f(x: A) -> A: pass @overload def f(x: B) -> B: pass def f(x): g() ff = f def h() -> None: f(A()) ff(A()) [out] -> m.h -> m.h -> , , m.A, m.f, m.h -> , , m.B, m.f -> m, m.h -> m, m.h -> m.f [case testMetaclassAttributes] from mod import C from typing import Type def f(arg: Type[C]) -> None: arg.x [file mod.py] class M(type): x: int class C(metaclass=M): pass [out] -> , m.f -> , m.f -> m.f -> , m, m.f -> m.f -> m [case testMetaclassAttributesDirect] from mod import C def f() -> None: C.x [file mod.py] class M(type): x: int class C(metaclass=M): pass [out] -> m.f -> m, m.f -> m.f -> m [case testMetaclassOperators] from mod import C from typing import Type def f(arg: Type[C]) -> None: arg + arg [file mod.py] class M(type): def __add__(self, other: M) -> M: pass class C(metaclass=M): pass [out] -> , m.f -> , m.f -> , m, m.f -> m.f -> m.f -> m [case testMetaclassOperatorsDirect] from mod import C def f() -> None: C + C [file mod.py] class M(type): def __add__(self, other: M) -> M: pass class C(metaclass=M): pass [out] -> m.f -> m.f -> m, m.f -> m.f -> m.f -> m [case testMetaclassDepsDeclared] import mod class C(metaclass=mod.M): pass [file mod.py] class M(type): pass [out] -> m.C -> , m -> m [case testMetaclassDepsDeclaredNested] import mod def func() -> None: class C(metaclass=mod.M): pass [file mod.py] class M(type): pass [out] -> m.func -> , m.func -> m, m.func -- Type aliases [case testAliasDepsNormalMod] from mod import I A = I x: A [file mod.py] class I: pass [out] -> m -> m -> m -> m -> , m -> m [case testAliasDepsNormalModExtended] # __dump_all__ import a x: a.A [file a.py] from mod import I A = I [file mod.py] class I: pass [out] -> m -> m -> m -> a -> a -> , m, a, mod.I -> a [case testAliasDepsNormalFunc] from mod import I A = I def f(x: A) -> None: pass [file mod.py] class I: pass [out] -> m.f -> m -> m -> , m, m.f -> m [case testAliasDepsNormalFuncExtended] # __dump_all__ import a def f(x: a.A) -> None: pass [file a.py] from mod import I A = I [file mod.py] class I: pass [out] -> m.f -> m -> a -> a -> , m.f, a, mod.I -> a [case testAliasDepsNormalClass] from a import A class C: x: A [file a.py] from mod import I A = I [file mod.py] class I: pass [out] -> m.C -> m -> m -> , m [case testAliasDepsNormalClassBases] from a import A class C(A): pass [file a.py] from mod import I A = I [file mod.py] class I: pass [out] -> m.C -> m -> m -> , m -> -> -> m.C [case testAliasDepsGenericMod] from mod import I, S, D A = D[I, S] x: A [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> m -> m -> m -> m -> , m -> , m -> , m -> m [case testAliasDepsGenericFunc] from mod import I, S, D A = D[S, I] def f(x: A) -> None: pass [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> , m.f -> m -> m -> , m, m.f -> , m, m.f -> , m, m.f -> m [case testAliasDepsGenericFuncExtended] import a def f(x: a.A) -> None: pass [file a.py] from mod import I, S, D A = D[S, I] [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> , m.f -> m -> , m.f -> , m.f -> , m.f [case testAliasDepsGenericClass] from mod import I, D, S, T A = D[S, T] class C: x: A[I] [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> m -> m.C -> m -> m -> , m -> , m -> , m -> m -> m [case testAliasDepsForwardMod] from mod import I x: A A = I [file mod.py] from typing import TypeVar, Generic class I: pass [out] -> m -> m -> m -> m -> , m -> m [case testAliasDepsForwardFunc] from mod import I def f(x: A) -> None: pass A = I [file mod.py] class I: pass [out] -> m.f -> m -> m -> , m, m.f -> m [case testAliasDepsForwardClass] from mod import I class C: x: A A = I [file mod.py] class I: pass [out] -> m -> m.C -> m -> m -> , m -> m [case testAliasDepsChainedMod] from mod import I A = I B = A x: B [file mod.py] class I: pass [out] -> m -> m -> m -> m -> m -> , m -> m [case testAliasDepsChainedFunc] from mod import I A = I B = A def f(x: B) -> None: pass [file mod.py] class I: pass [out] -> m -> m.f -> m -> m -> , m, m.f -> m [case testAliasDepsChainedFuncExtended] import a B = a.A def f(x: B) -> None: pass [file a.py] from mod import I A = I [file mod.py] class I: pass [out] -> m.f -> m -> m -> m -> m -> , m, m.f [case testAliasDepsChainedClass] from mod import I A = I B = A class C(B): pass [file mod.py] class I: pass [out] -> m -> m -> m.C -> , m -> , m -> , m -> m, m.C -> m [case testAliasDepsNestedMod] from mod import I, S, D A = D[S, I] B = D[S, A] x: B [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> , m -> m -> m -> m -> m -> , m -> , m -> , m -> m [case testAliasDepsNestedModExtended] # __dump_all__ from mod import S, D import a B = D[S, a.A] x: B [file a.py] from mod import I, S, D A = D[S, I] [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> m -> m -> , m -> m -> m, a -> m, a -> , m, a, mod.D -> , m, a, mod.I -> , m, a, mod.S -> mod.D -> mod.D -> m, a [case testAliasDepsNestedFunc] from mod import I, S, D A = D[S, I] B = D[S, A] def f(x: B) -> None: pass [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> , m, m.f -> , m.f -> m -> m -> , m, m.f -> , m, m.f -> , m, m.f -> m [case testAliasDepsNestedFuncExtended] # __dump_all__ from mod import S, D import a B = D[S, a.A] def f(x: B) -> None: pass [file a.py] from mod import I, S, D A = D[S, I] [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> , m.f -> , m, m.f -> m -> m, a -> m, a -> , m, m.f, a, mod.D -> , m, m.f, a, mod.I -> , m, m.f, a, mod.S -> mod.D -> mod.D -> m, a [case testAliasDepsNestedFuncDirect] from mod import I, S, D A = D[S, I] E = D def f(x: E[S, A]) -> None: pass [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> , m.f -> m.f -> m -> m -> , m, m.f -> , m, m.f -> , m, m.f -> m -> m -> m [case testAliasDepsNestedClass] from mod import I, S, D A = D[S, I] B = D[S, A] class C: x: B [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> , m -> m -> m.C -> m -> m -> , m -> , m -> , m -> m [case testAliasDepsCast] from typing import cast from mod import I A = I def fun() -> None: x = cast(A, 42) [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> m.fun -> m -> m -> m, m.fun -> m [case testAliasDepsRuntime] from mod import I, S, D A = I x = D[S, A]() [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> m -> m -> m -> m -> , m -> m -> m -> , m -> , m -> m [case testAliasDepsRuntimeExtended] # __dump_all__ from mod import I, S, D import a x = D[S, a.A]() [file a.py] from mod import I A = I [file mod.py] from typing import TypeVar, Generic T = TypeVar('T') U = TypeVar('U') class D(Generic[T, U]): pass class I: pass class S: pass [out] -> m -> m -> m -> m -> m -> , m, mod.D -> a -> a -> , m, a, mod.I -> , m, mod.S -> mod.D -> mod.D -> m, a [case testAliasDepsNamedTuple] from typing import NamedTuple from mod import I A = I class P(NamedTuple): x: A [file mod.py] class I: pass [builtins fixtures/tuple.pyi] [out] -> m -> m.P -> m -> m -> , , m, m.P -> m [case testAliasDepsNamedTupleFunctional] # __dump_all__ from typing import NamedTuple import a P = NamedTuple('P', [('x', a.A)]) [file a.py] from mod import I A = I [file mod.py] class I: pass [builtins fixtures/tuple.pyi] [out] -> m -> m -> a -> a -> , , m, a, mod.I -> a [case testAliasDepsTypedDict] from typing import TypedDict from mod import I A = I class P(TypedDict): x: A [file mod.py] class I: pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] -> m -> m.P -> m -> m -> , m -> m [case testAliasDepsTypedDictFunctional] # __dump_all__ from typing import TypedDict import a P = TypedDict('P', {'x': a.A}) [file a.py] from mod import I A = I [file mod.py] class I: pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] -> m -> m -> a -> a -> , a, mod.I -> a [case testAliasDepsClassInFunction] from mod import I A = I def f() -> None: class C: x: A [file mod.py] class I: pass [out] -> m.f -> m.f -> m -> m -> , m, m.f -> m [case testAliasDepsFromImportUnqualified] from a import C x: C def f() -> None: C() class A: def meth(self) -> None: def inner() -> C: pass [file a.py] from b import D C = D [file b.py] class D: pass [out] -> m.A -> m -> m, m.A.meth, m.f -> m -> m.f -> m.f -> , , m, m.A.meth [case testFuncBasedEnum] from enum import Enum from mod import B A = Enum('A', [('X', B())]) def f(a: A) -> None: pass def g() -> None: A.X [file mod.py] class B: pass [builtins fixtures/tuple.pyi] [out] -> m.g -> , m.f, m.g -> m -> m [case testProtocolDepsWildcard] # __dump_all__ import mod x: mod.P [file mod.py] from typing import Protocol class P(Protocol): x: int [out] -> m -> , m, mod.P -> -> m [case testProtocolDepsWildcardSupertype] # __dump_all__ import mod x: mod.P [file mod.py] from typing import Protocol class PBase(Protocol): x: int class P(PBase, Protocol): y: int [out] -> m -> mod -> , m, mod.P -> , mod -> -> -> -> -> mod, mod.P, mod.PBase -> , -> -> m [case testProtocolDepsPositive] # __dump_all__ import mod class C: x: int x: mod.P = C() [file mod.py] from typing import Protocol class P(Protocol): x: int [out] -> m -> m -> -> m, m.C, mod.P -> m -> , m, mod.P -> -> m [case testProtocolDepsNegative] # __dump_all__ import mod from typing import overload class C: y: int @overload def func(x: C) -> int: ... @overload def func(x: mod.P) -> str: ... def func(x): pass func(C()) [file mod.py] from typing import Protocol class P(Protocol): x: int [out] -> m -> m -> -> , m, m.C, m.func, mod.P -> m -> , m.func, mod.P -> -> m [case testProtocolDepsConcreteSuperclass] # __dump_all__ import mod class B: x: int class C(B): pass x: mod.P = C() [file mod.py] from typing import Protocol class P(Protocol): x: int [out] -> , m -> -> -> , -> m, m.B, m.C -> m -> m -> -> m, m.C, mod.P -> m -> , m, mod.P -> -> m ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/deps.test0000644000175100017510000006316215112307767016770 0ustar00runnerrunner-- Test cases for generating dependencies between ASTs nodes. -- -- The dependencies are used for fined-grained incremental checking and -- the daemon mode. -- -- The output of each test case includes the dependency map for whitelisted -- modules (includes the main module and the modules 'pkg' and 'pkg.mod' at -- least). -- -- Dependencies are formatted as " -> affected locations". -- -- Look at the docstring of mypy.server.deps for an explanation of -- how fine-grained dependencies are represented. [case testCallFunction] def f() -> None: g() def g() -> None: pass [out] -> m.f [case testCallMethod] def f(a: A) -> None: a.g() class A: def g(self) -> None: pass [out] -> m.f -> , m.A, m.f [case testAccessAttribute] def f(a: A) -> None: a.x class A: def g(self) -> None: self.x = 1 [out] -> m.A.g, m.f -> , m.A, m.f [case testConstructInstance] def f() -> None: A() class A: pass [out] -> m.f -> m.f -> m.A, m.f [case testAccessModuleAttribute] class A: pass x = A() def f() -> None: x [out] -> m -> m -> , m, m.A -> m, m.f [case testAccessModuleAttribute2] import n def f() -> None: n.x [file n.py] x = 1 [out] -> m.f -> m, m.f [case testImport] import n [file n.py] x = 1 [out] -> m [case testCallImportedFunction] import n n.f() [file n.py] def f() -> None: pass [out] -> m -> m [case testImportModuleAs] import n as x x.f() [file n.py] def f() -> None: pass [out] -> m -> m [case testCallImportedFunctionInFunction] import n def g() -> None: n.f() [file n.py] def f() -> None: pass [out] -> m.g -> m, m.g [case testInheritanceSimple] class A: pass class B(A): pass [out] -> , m -> -> -> m, m.A, m.B -> m.B [case testInheritanceWithMethodAndAttribute] class A: pass class B(A): def f(self) -> None: self.x = 1 [out] -> , m -> -> -> m.B.f -> -> m, m.A, m.B -> m.B.f -> m.B [case testInheritanceWithMethodAndAttributeAndDeepHierarchy] class A: pass class B(A): pass class C(B): def f(self) -> None: self.x = 1 [out] -> , , m -> , -> , -> m.C.f -> -> m, m.A, m.B -> , m -> -> -> m.C.f -> -> m, m.B, m.C -> m.C.f -> m.C [case testInheritAttribute] import n class B(n.A): def f(self) -> None: a = 1 a = self.x [file n.py] class A: def g(self) -> None: self.x = 1 [out] -> m.B.f -> m.B -> , m -> -> -> m.B.f -> -> -> m, m.B -> m [case testInheritMethod] class A: def g(self) -> None: pass class B(A): def f(self) -> None: self.g() [out] -> , m -> -> -> m.B.f -> -> m, m.A, m.B -> m.B.f -> m.B [case testPackage] import a.b def f() -> None: a.b.g() [file a/__init__.py] [file a/b.py] def g() -> None: pass [out] -> m.f -> m, m.f -> m.f [case testClassInPackage] import a.b def f(x: a.b.A) -> None: x.g() x.y [file a/__init__.py] [file a/b.py] class A: def g(self) -> None: self.y = 1 [out] -> m.f -> m.f -> , m.f -> m [case testPackage__init__] import a def f() -> None: a.g() [file a/__init__.py] def g() -> None: pass [out] -> m.f -> m, m.f [case testClassInPackage__init__] import a def f(x: a.A) -> None: x.g() x.y [file a/__init__.py] class A: def g(self) -> None: self.y = 1 [out] -> m.f -> m.f -> , m.f -> m [case testConstructor] class A: def __init__(self, x: C) -> None: pass class C: pass def f() -> None: A(C()) [out] -> m.f -> m.f -> m.A, m.f -> m.f -> m.f -> , m.A.__init__, m.C, m.f [case testNonTrivialConstructor] class C: def __init__(self) -> None: self.x = 1 [out] -> m.C.__init__ -> m.C [case testImportFrom] from n import f def g() -> None: f() [file n.py] def f() -> None: pass [out] -> m, m.g -> m [case testImportFromAs] from n import f as ff def g() -> None: ff() [file n.py] def f() -> None: pass [out] -> m, m.g -> m [case testNestedClass] def f() -> None: b = A.B() b.f() class A: class B: def f(self) -> None: pass [out] -> m.f -> m.f -> m.f -> m.A.B, m.f -> m.A, m.f [case testNestedClassAttribute] def f() -> None: b = A.B() b.x class A: class B: def f(self) -> None: self.x = 1 [out] -> m.f -> m.f -> m.A.B.f, m.f -> m.A.B, m.f -> m.A, m.f [case testNestedClassInAnnotation] def f(x: A.B) -> None: pass class A: class B: pass [out] -> , m.A.B, m.f -> m.A [case testNestedClassInAnnotation2] def f(x: A.B) -> None: x.f() class A: class B: def f(self) -> None: pass [out] -> m.f -> , m.A.B, m.f -> m.A [case NestedFunctionType] from mod import A, B, C, D def outer() -> None: def inner(x: A, *args: B, **kwds: C) -> D: pass [file mod.py] class A: pass class B: pass class C: pass class D: pass [builtins fixtures/dict.pyi] [out] -> , m, m.outer -> , m, m.outer -> , m, m.outer -> , m, m.outer -> m [case NestedFunctionBody] from mod import A, B, C def outer() -> None: def inner() -> None: A() x: B y: C y.x [file mod.py] class A: pass class B: pass class C: x: int [builtins fixtures/dict.pyi] [out] -> m.outer -> m.outer -> m, m.outer -> m, m.outer -> m.outer -> m, m.outer -> m [case testDefaultArgValue] def f1(x: int) -> int: pass def f2() -> int: pass def g(x: int = f1(f2())) -> None: pass [out] -> m.g -> m.g [case testIsInstance] class A: def g(self) -> None: pass def f(x: object) -> None: if isinstance(x, A): x.g() def ff(x: object) -> None: if isinstance(x, A): pass [builtins fixtures/isinstancelist.pyi] [out] -- The dependencies on the ctor are basically spurious but not a problem -> m.f -> m.A, m.f, m.ff [case testUnreachableIsInstance] class A: x: int class B: x: str def f(x: A) -> None: if isinstance(x, B): x.y [builtins fixtures/isinstancelist.pyi] [out] -> , m.A, m.f -> m.B, m.f [case testIsInstanceAdHocIntersectionDeps] class A: x: int class B: y: int def f(x: A) -> None: if isinstance(x, B): x.y [builtins fixtures/isinstancelist.pyi] [out] .y> -> m.f -> , m.A, m.f -> m.B, m.f [case testAttributeWithClassType1] from n import A class B: def h(self, z: A) -> None: self.z = z [file n.py] class A: pass [out] -> m.B.h -> m.B -> , , m, m.B.h -> m [case testAttributeWithClassType2] from m import A class B: def f(self) -> None: self.x = A() [file m.py] class A: pass [out] -> m.B.f -> m.B -> m.B.f -> m.B.f -> , m, m.B.f -> m [case testAttributeWithClassType3] from n import A, x class B: def g(self) -> None: self.x = x [file n.py] class A: pass x = A() [out] -> m.B.g -> m.B -> , m -> m, m.B.g -> m [case testAttributeWithClassType4] from n import A class B: def g(self) -> None: self.x: A [file n.py] class A: pass [out] -> m.B.g -> m.B -> , m, m.B.g -> m [case testClassBody] def f() -> int: pass def g() -> int: pass def h() -> int: pass class A: h() if f(): g() [out] -> m.A -> m -> m -> m [case testVariableInitializedInClass] from n import A class B: x = None # type: A [file n.py] class A: pass [out] -> m.B -> , m -> m [case testVariableAnnotationInClass] from n import A class B: x: A def f(self) -> None: y = self.x [file n.py] class A: pass [out] -> m.B.f -> m.B -> , m -> m [case testGlobalVariableInitialized] from n import A x = A() [file n.py] class A: pass [out] -> m -> m -> m -> , m -> m [case testGlobalVariableAnnotation] from n import A x: A [file n.py] class A: pass [out] -> m -> , m -> m [case testProperty] class B: pass class A: @property def x(self) -> B: pass def f(a: A) -> None: b = a.x [builtins fixtures/property.pyi] [out] -> m, m.f -> , m.A, m.f -> , m.A.x, m.B [case testUnreachableAssignment] from typing import List, Tuple def f() -> None: pass class C: def __init__(self, x: int) -> None: if isinstance(x, int): self.y = 1 else: self.y = f() [builtins fixtures/isinstancelist.pyi] [out] -> m.C.__init__ -> m.C -> m.C.__init__ [case testPartialNoneTypeAttributeCrash1] # flags: --no-local-partial-types class C: pass class A: x = None def f(self) -> None: self.x = C() [out] -> m.A.f -> m.A -> m.A.f -> m.A.f -> , m.A.f, m.C [case testPartialNoneTypeAttributeCrash2] # flags: --no-local-partial-types class C: pass class A: x = None def f(self) -> None: self.x = C() [out] -> m.A.f -> m.A -> m.A.f -> m.A.f -> , m.A.f, m.C [case testRelativeImport] import pkg # Magic package name in test runner [file pkg/__init__.py] from . import mod from .a import x [file pkg/mod.py] from . import a [file pkg/a.py] x = 1 [out] -> pkg -> pkg, pkg.mod -> pkg -> m, pkg, pkg.mod [case testTypedDict] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(dict(x=42, y=1337)) def foo(x: Point) -> int: return x['x'] + x['y'] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] -> m -> m -> , , m, m.foo -> m [case testTypedDict2] from typing import TypedDict class A: pass Point = TypedDict('Point', {'x': int, 'y': A}) p = Point(dict(x=42, y=A())) def foo(x: Point) -> int: return x['x'] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] -> m -> m -> , , , m, m.A, m.foo -> m -> m -> , , m, m.foo -> m [case testTypedDict3] from typing import TypedDict class A: pass class Point(TypedDict): x: int y: A p = Point(dict(x=42, y=A())) def foo(x: Point) -> int: return x['x'] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] -> m -> m -> , , , m, m.A, m.foo -> m -> m -> , , m, m.Point, m.foo -> m [case testImportStar] from a import * [file a.py] x = 0 [out] -> m [case testDecoratorDepsMod] import mod @mod.deca @mod.decb(mod.C()) def func(x: int) -> int: pass [file mod.py] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[int], int]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass [out] -> m -> m -> m -> m -> m -> m -> m [case testDecoratorDepsFunc] import mod def outer() -> None: @mod.deca @mod.decb(mod.C()) def func(x: int) -> int: pass [file mod.py] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[int], int]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass [out] -> m.outer -> m.outer -> m.outer -> m.outer -> m.outer -> m, m.outer [case testDecoratorDepsDeepNested] import mod def outer() -> None: def inner() -> None: @mod.dec def func(x: int) -> int: pass [file mod.py] from typing import Callable def dec(func: Callable[[int], int]) -> Callable[[str], str]: pass [out] -> m.outer -> m, m.outer [case testDecoratorDepsNestedClass] import mod class Outer: class Inner: c = mod.C() @c.dec def func(self, x: int) -> int: pass [file mod.py] from typing import Callable class C: def dec(self, func: Callable[..., int]) -> Callable[..., str]: pass [out] -> m -> m.Outer.Inner -> m.Outer -> m -> m -> m -> , m -> m [case testDecoratorDepsClassInFunction] import mod def outer() -> None: class Inner: c = mod.C() @c.dec def func(self, x: int) -> int: pass [file mod.py] from typing import Callable class C: def dec(self, func: Callable[..., int]) -> Callable[..., str]: pass [out] -> m.outer -> m.outer -> m.outer -> m.outer -> , m.outer -> m, m.outer [case DecoratorDepsMethod] import mod class D: @mod.deca @mod.decb(mod.C()) def func(self, x: int) -> int: pass [file mod.py] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[..., int]) -> Callable[..., str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass [out] -> m -> m.D -> m -> m -> m -> m -> m -> m [case testMissingModuleClass1] from b import A # type: ignore def f(x: A) -> None: x.foo() [out] -> , m.f -> m -> m [case testMissingModuleClass2] from p.b import A # type: ignore def f(x: A) -> None: x.foo() [out] -> , m.f -> m -> m [case testIgnoredMissingModuleAttribute] import a a.x # type: ignore import b.c b.c.x # type: ignore from b import c c.y # type: ignore [file a.py] [file b/__init__.py] [file b/c.py] [builtins fixtures/module.pyi] [out] -> m -> m -> m -> m -> m -> m -> -> typing.Awaitable [case testIgnoredMissingInstanceAttribute] from a import C C().x # type: ignore [file a.py] class C: pass [out] -> -> m -> m -> m -> m, typing.Awaitable -> m [case testIgnoredMissingClassAttribute] from a import C C.x # type: ignore [file a.py] class C: pass [out] -> m -> m -> m [case testDepsFromOverloadMod] # __dump_all__ import mod x = mod.f [file mod.py] from typing import overload, Any import submod @overload def f(x: int) -> submod.A: pass @overload def f(x: str) -> submod.B: pass def f(x) -> Any: y: submod.C y.x [file submod.py] class A: pass class B: pass class C: x: D class D: pass [out] -> m -> m -> m -> , , mod.f, submod.A -> , , mod.f, submod.B -> mod.f -> mod.f, submod.C -> , submod, submod.D -> mod [case testDepsFromOverloadFunc] import mod def f() -> None: x = mod.f [file mod.py] from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass def f(x): pass [out] -> m.f -> m, m.f [case testDepsToOverloadMod] from typing import overload, Any import mod @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass def f(x: Any) -> Any: mod.g() [file mod.py] def g() -> int: pass [out] -> m.f -> m, m.f [case testDepsToOverloadFunc] from typing import overload, Any import mod def outer() -> None: @overload def f(x: int) -> mod.A: pass @overload def f(x: str) -> mod.B: pass def f(x: Any) -> Any: mod.g() [file mod.py] def g() -> int: pass class A: pass class B: pass [out] -> , m.outer -> , m.outer -> m.outer -> m, m.outer [case testDepsFromOverloadToOverload] from typing import overload, Any import mod def outer() -> None: @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass def f(x: Any) -> Any: mod.g(str()) [file mod.py] from typing import overload @overload def g(x: int) -> None: pass @overload def g(x: str) -> str: pass def g(x): pass [out] -> m.outer -> m, m.outer [case testDepsFromOverloadToOverloadDefaultClass] from typing import overload, Any import mod class Outer: @overload def f(self, x: int) -> None: pass @overload def f(self, x: str, cb=mod.g) -> str: pass def f(self, *args: Any, **kwargs: Any) -> Any: pass [file mod.py] from typing import overload @overload def g(x: int) -> None: pass @overload def g(x: str) -> str: pass def g(x): pass [builtins fixtures/dict.pyi] [out] -> m.Outer -> m.Outer.f -> m, m.Outer.f [case testDepsFromOverloadToOverloadDefaultNested] from typing import overload, Any import mod def outer() -> None: @overload def f(x: int) -> None: pass @overload def f(x: str, cb=mod.g) -> str: pass def f(*args: Any, **kwargs: Any) -> Any: pass [file mod.py] from typing import overload @overload def g(x: int) -> None: pass @overload def g(x: str) -> str: pass def g(x): pass [builtins fixtures/dict.pyi] [out] -> m.outer -> m, m.outer [case testDepsToOverloadGeneric] # __dump_all__ import mod from typing import overload, Any @overload def f(x: mod.TA) -> mod.TA: pass @overload def f(x: mod.TB, y: int) -> mod.TB: pass def f(*args: Any, **kwargs: Any) -> Any: pass [file mod.py] from typing import TypeVar import submod TA = TypeVar('TA', submod.A, submod.B) TB = TypeVar('TB', bound=submod.C) [file submod.py] class A: pass class B: pass class C: pass [builtins fixtures/dict.pyi] [out] -> , m.f -> , m.f -> m -> , , m.f, mod, submod.A -> , , m.f, mod, submod.B -> , , m.f, mod, submod.C -> mod [case testDepsOverloadBothExternalAndImplementationType] import mod from typing import overload @overload def f(x: mod.A) -> mod.A: pass @overload def f(x: mod.B) -> mod.B: pass def f(x: mod.Base) -> mod.Base: pass [file mod.py] class Base: pass class A(Base): pass class B(Base): pass [out] -> , m.f -> , m.f -> , m.f -> m [case testCustomIterator] class A: def __iter__(self) -> B: pass class B: def __iter__(self) -> B: pass def __next__(self) -> C: pass class C: pass def f() -> None: for x in A(): pass [out] -> m.f -> m.f -> m.f -> m.f -> m.A, m.f -> m.f -> , , m.A.__iter__, m.B, m.B.__iter__ -> , m.B.__next__, m.C [case testDepsLiskovClass] from mod import A, C class D(C): x: A [file mod.py] class C: x: B class B: pass class A(B): pass [out] -> m -> m.D -> , m -> , m -> -> -> -> m, m.D -> m [case testDepsLiskovMethod] from mod import A, C class D(C): def __init__(self) -> None: self.x: A [file mod.py] class C: def __init__(self) -> None: self.x: B class B: pass class A(B): pass [out] -> m.D.__init__ -> m.D -> , m, m.D.__init__ -> , m -> , m.D.__init__ -> -> -> m, m.D -> m [case testIndexedStarLvalue] from typing import List, Tuple class B: def __setitem__(self, i: int, v: List[str]) -> None: pass def g() -> Tuple[int, str, str]: pass def f(b: B) -> None: a, *b[0] = g() [builtins fixtures/list.pyi] [out] -> m.f -> m.f -> , m.B, m.f -> m.f [case testLogicalDecorator] # flags: --logical-deps from mod import dec @dec def f() -> None: pass [file mod.py] from typing import Callable def dec(f: Callable[[], None]) -> Callable[[], None]: pass [out] -> , m [case testLogicalDecoratorWithArgs] # flags: --logical-deps from mod import dec @dec(str()) def f() -> None: pass [file mod.py] from typing import Callable def dec(arg: str) -> Callable[[Callable[[], None]], Callable[[], None]]: pass [out] -> , m [case testLogicalDecoratorMember] # flags: --logical-deps import mod @mod.dec def f() -> None: pass [file mod.py] from typing import Callable def dec(f: Callable[[], None]) -> Callable[[], None]: pass [out] -> , m -> m [case testLogicalDefinition] # flags: --logical-deps from mod import func b = func() [file mod.py] def func() -> int: pass [out] -> m -> , m [case testLogicalDefinitionIrrelevant] # flags: --logical-deps from mod import func def outer() -> None: a = func() b: int = func() c = int() c = func() [file mod.py] def func() -> int: pass [out] -> m -> m -> m, m.outer [case testLogicalDefinitionMember] # flags: --logical-deps import mod b = mod.func() [file mod.py] def func() -> int: pass [out] -> m -> , m -> m [case testLogicalDefinitionClass] # flags: --logical-deps from mod import Cls b = Cls() [file mod.py] class Base: def __init__(self) -> None: pass class Cls(Base): pass [out] -> m -> -> m -> m -> , m [case testLogicalBaseAttribute] # flags: --logical-deps from mod import C class D(C): x: int [file mod.py] class C: x: int y: int [out] -> m -> m.D -> -> m, m.D [case testLogicalIgnoredImport1] # flags: --logical-deps --ignore-missing-imports import foo def f() -> None: foo.x [out] -> m.f -> m, m.f [case testLogicalIgnoredImport2] # flags: --logical-deps --ignore-missing-imports import foo.bar import a.b.c.d def f() -> None: foo.bar.x foo.bar.x.y a.b.c.d.e [out] -> m.f -> m, m.f -> m.f -> m.f -> m.f -> m.f -> m.f -> m, m.f -> m.f [case testLogicalIgnoredFromImport] # flags: --logical-deps --ignore-missing-imports from foo.bar import f, C def g() -> None: f() C.ff() def gg(x: C) -> None: z = x.y z.zz [out] -> m.g -> m.gg -> , m.g, m.gg -> m.g [case testLogical__init__] # flags: --logical-deps class A: def __init__(self) -> None: pass class B(A): pass class C(B): pass class D(A): def __init__(self, x: int) -> None: pass def f() -> None: A() def g() -> None: C() def h() -> None: D(1) [out] -> m.f -> m.f -> m, m.A, m.B, m.D, m.f -> m, m.B, m.C -> m.g -> m.g -> m.C, m.g -> m.h -> m.h -> m.D, m.h [case testDataclassDepsOldVersion] from dataclasses import dataclass Z = int @dataclass class A: x: Z @dataclass class B(A): y: int [builtins fixtures/dataclasses.pyi] [out] -> , m -> -> , m.B.__init__ -> , m, m.B.__mypy-replace -> -> -> -> m, m.A, m.B -> m -> m -> m -> m.B -> m -> m -> m [case testDataclassDeps] # flags: --python-version 3.10 from dataclasses import dataclass Z = int @dataclass class A: x: Z @dataclass class B(A): y: int [builtins fixtures/dataclasses.pyi] [out] -> , m -> -> , m.B.__init__ -> -> , m, m.B.__mypy-replace -> -> -> -> m, m.A, m.B -> m -> m -> m -> m.B -> m -> m -> m [case testPEP695TypeAliasDeps] # flags: --python-version=3.12 from a import C, E type A = C type A2 = A type A3 = E [file a.py] class C: pass class D: pass type E = D [out] -> m -> m -> m -> m -> m -> m -> m -> m [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/diff.test0000644000175100017510000007267615112307767016757 0ustar00runnerrunner-- Test cases for taking a diff of two module ASTs/symbol tables. -- The diffs are used for fined-grained incremental checking. [case testChangeTypeOfModuleAttribute] x = 1 y = 1 [file next.py] x = '' y = 1 [out] __main__.x [case testChangeSignatureOfModuleFunction] def f(x: int) -> None: pass def g(y: str) -> None: pass [file next.py] def f(x: str) -> None: x = '' def g(y: str) -> None: y = '' [out] __main__.f [case testAddModuleAttribute] x = 1 [file next.py] x = 1 y = 1 [out] __main__.y [case testRemoveModuleAttribute] x = 1 y = 1 [file next.py] x = 1 [out] __main__.y -- -- Classes -- [case testChangeMethodSignature] class A: def f(self) -> None: pass def g(self) -> None: pass [file next.py] class A: def f(self, x: int) -> None: pass def g(self) -> None: pass [out] __main__.A.f [case testChangeAttributeType] class A: def f(self) -> None: self.x = 1 self.y = 1 [file next.py] class A: def f(self) -> None: self.x = 1 self.y = '' [out] __main__.A.y [case testAddAttribute] class A: pass [file next.py] class A: def f(self) -> None: self.x = 1 [out] __main__.A.f __main__.A.x [case testAddAttribute2] class A: def f(self) -> None: pass [file next.py] class A: def f(self) -> None: self.x = 1 [out] __main__.A.x [case testRemoveAttribute] class A: def f(self) -> None: self.x = 1 [file next.py] class A: pass [out] __main__.A.f __main__.A.x [case testAddMethod] class A: def f(self) -> None: pass [file next.py] class A: def f(self) -> None: pass def g(self) -> None: pass [out] __main__.A.g [case testRemoveMethod] class A: def f(self) -> None: pass def g(self) -> None: pass [file next.py] class A: def f(self) -> None: pass [out] __main__.A.g [case testAddImport] import nn [file next.py] import n import nn [file n.py] x = 1 [file nn.py] y = 1 [out] __main__.n [case testRemoveImport] import n [file next.py] [file n.py] x = 1 [out] __main__.n [case testChangeClassIntoFunction] class A: pass [file next.py] def A() -> None: pass [out] __main__.A [case testDeleteClass] class A: pass [file next.py] [out] __main__.A [case testAddBaseClass] class A: pass [file next.py] class B: pass class A(B): pass [out] __main__.A __main__.B [case testChangeBaseClass] class A: pass class B: pass class C(A): pass [file next.py] class A: pass class B: pass class C(B): pass [out] __main__.C [case testRemoveBaseClass] class A: pass class B(A): pass [file next.py] class A: pass class B: pass [out] __main__.B [case testRemoveClassFromMiddleOfMro] class A: pass class B(A): pass class C(B): pass [file next.py] class A: pass class B: pass class C(B): pass [out] __main__.B __main__.C [case testDifferenceInConstructor] class A: def __init__(self) -> None: pass [file next.py] class A: def __init__(self, x: int) -> None: pass [out] __main__.A.__init__ [case testChangeSignatureOfMethodInNestedClass] class A: class B: def f(self) -> int: pass [file next.py] class A: class B: def f(self) -> str: pass [out] __main__.A.B.f [case testChangeTypeOfAttributeInNestedClass] class A: class B: def f(self) -> None: self.x = 1 [file next.py] class A: class B: def f(self) -> None: self.x = '' [out] __main__.A.B.x [case testAddMethodToNestedClass] class A: class B: pass [file next.py] class A: class B: def f(self) -> str: pass [out] __main__.A.B.f [case testAddNestedClass] class A: pass [file next.py] class A: class B: def f(self) -> None: pass [out] __main__.A.B [case testRemoveNestedClass] class A: class B: def f(self) -> None: pass [file next.py] class A: pass [out] __main__.A.B [case testChangeNestedClassToMethod] class A: class B: pass [file next.py] class A: def B(self) -> None: pass [out] __main__.A.B [case testChangeNamedTupleAttribute] from typing import NamedTuple class A: x: str N = NamedTuple('N', [('x', int), ('y', str)]) M = NamedTuple('M', [('x', int), ('y', str)]) [file next.py] from typing import NamedTuple N = NamedTuple('N', [('x', int), ('y', int)]) M = NamedTuple('M', [('x', int), ('y', str)]) [builtins fixtures/tuple.pyi] [out] __main__.A __main__.N __main__.N._NT __main__.N.__new__ __main__.N._asdict __main__.N._make __main__.N._replace __main__.N.y [case testSimpleDecoratedFunction] from a import dec @dec def f() -> None: pass @dec def g() -> None: pass [file next.py] from a import dec @dec def f(x: int) -> None: pass @dec def g() -> None: pass [file a.py] from typing import TypeVar T = TypeVar('T') def dec(f: T) -> T: return f [out] __main__.f [case testSimpleDecoratedMethod] from a import dec class A: @dec def f(self) -> None: self.g() @dec def g(self) -> None: pass [file next.py] from a import dec class A: @dec def f(self, x: int) -> None: self.g() @dec def g(self) -> None: pass [file a.py] from typing import TypeVar T = TypeVar('T') def dec(f: T) -> T: return f [out] __main__.A.f [case testTypeVarBound] from typing import TypeVar T = TypeVar('T') S = TypeVar('S') [file next.py] from typing import TypeVar T = TypeVar('T', bound=int) S = TypeVar('S') [out] __main__.T [case testTypeVarVariance] from typing import TypeVar A = TypeVar('A', covariant=True) B = TypeVar('B', covariant=True) C = TypeVar('C', covariant=True) [file next.py] from typing import TypeVar A = TypeVar('A', covariant=True) B = TypeVar('B', contravariant=True) C = TypeVar('C') [out] __main__.B __main__.C [case testTypeVarValues] from typing import TypeVar A = TypeVar('A', int, str) B = TypeVar('B', int, str) C = TypeVar('C', int, str) [file next.py] from typing import TypeVar A = TypeVar('A', int, str) B = TypeVar('B', int, str, object) C = TypeVar('C') [out] __main__.B __main__.C [case testGenericFunction] from typing import TypeVar T = TypeVar('T') S = TypeVar('S') def f(x: T) -> T: pass def g(x: S) -> S: pass [file next.py] from typing import TypeVar T = TypeVar('T', int, str) S = TypeVar('S') def f(x: T) -> T: pass def g(x: S) -> S: pass [out] __main__.T __main__.f [case testGenericTypes] from typing import List x: List[int] y: List[int] [file next.py] from typing import List x: List[int] y: List[str] [builtins fixtures/list.pyi] [out] __main__.y [case testTypeAliasOfList] from typing import List X = List[int] Y = List[int] [file next.py] from typing import List X = List[str] Y = List[int] [builtins fixtures/list.pyi] [out] __main__.X [case testTypeAliasOfCallable] from typing import Callable A = Callable[[int], str] B = Callable[[int], str] C = Callable[[int], str] [file next.py] from typing import Callable A = Callable[[int], str] B = Callable[[], str] C = Callable[[int], int] [out] __main__.B __main__.C [case testGenericTypeAlias] from typing import Callable, TypeVar T = TypeVar('T') A = Callable[[T], T] B = Callable[[T], T] [file next.py] from typing import Callable, TypeVar T = TypeVar('T') S = TypeVar('S') A = Callable[[T], T] B = Callable[[T], S] [out] __main__.B __main__.S [case testDifferentListTypes] from typing import List A = List B = list C = List [file next.py] from typing import List A = List B = list C = list [builtins fixtures/list.pyi] [out] __main__.C [case testDecoratorChangesSignature] from contextlib import contextmanager from typing import Iterator, List, Tuple @contextmanager def f(x: List[Tuple[int]]) -> Iterator[None]: yield @contextmanager def g(x: str) -> Iterator[None]: yield [file next.py] from contextlib import contextmanager from typing import Iterator, List, Tuple @contextmanager def f(x: List[Tuple[int]]) -> Iterator[None]: yield @contextmanager def g(x: object) -> Iterator[None]: yield [typing fixtures/typing-medium.pyi] [builtins fixtures/list.pyi] [out] __main__.g [case testOverloadedMethod] from typing import overload class A: @overload def f(self, x: int) -> int: pass @overload def f(self, x: str) -> str: pass def f(self, x): pass @overload def g(self, x: int) -> int: pass @overload def g(self, x: str) -> str: pass def g(self, x): pass [file next.py] from typing import overload class A: @overload def f(self, x: int) -> int: pass @overload def f(self, x: str) -> str: pass def f(self, x): pass @overload def g(self, x: int) -> int: pass @overload def g(self, x: object) -> object: pass def g(self, x): pass [out] __main__.A.g [case testPropertyWithSetter] class A: @property def x(self) -> int: pass @x.setter def x(self, o: int) -> None: pass class B: @property def x(self) -> int: pass @x.setter def x(self, o: int) -> None: pass [file next.py] class A: @property def x(self) -> int: pass @x.setter def x(self, o: int) -> None: pass class B: @property def x(self) -> str: pass @x.setter def x(self, o: str) -> None: pass [builtins fixtures/property.pyi] [out] __main__.B.x [case testFunctionalEnum] from enum import Enum, IntEnum A = Enum('A', 'x') B = Enum('B', 'x') C = Enum('C', 'x') D = IntEnum('D', 'x') [file next.py] from enum import Enum, IntEnum A = Enum('A', 'x') B = Enum('B', 'y') C = IntEnum('C', 'x') D = IntEnum('D', 'x y') [builtins fixtures/enum.pyi] [out] __main__.B.x __main__.B.y __main__.C __main__.D.y [case testClassBasedEnum] from enum import Enum class A(Enum): X = 0 Y = 1 class B(Enum): X = 0 Y = 1 class C(Enum): X = 0 Y = 1 class D(Enum): X = 0 Y = 1 class E(Enum): X = 0 [file next.py] from enum import Enum class A(Enum): X = 0 Y = 1 class B(Enum): X = 0 Z = 1 class C(Enum): X = 0 Y = 1 Z = 2 class D(Enum): X = 'a' Y = 'b' class F(Enum): X = 0 [builtins fixtures/enum.pyi] [out] __main__.B.Y __main__.B.Z __main__.C.Z __main__.D.X __main__.D.Y __main__.E __main__.F [case testTypedDict] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(dict(x=42, y=1337)) [file next.py] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': str}) p = Point(dict(x=42, y='lurr')) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] __main__.Point __main__.p [case testTypedDict2] from typing import TypedDict class Point(TypedDict): x: int y: int p = Point(dict(x=42, y=1337)) [file next.py] from typing import TypedDict class Point(TypedDict): x: int y: str p = Point(dict(x=42, y='lurr')) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] __main__.Point __main__.p [case testTypedDict3] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(dict(x=42, y=1337)) [file next.py] from typing import TypedDict Point = TypedDict('Point', {'x': int}) p = Point(dict(x=42)) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] __main__.Point __main__.p [case testTypedDict4] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(dict(x=42, y=1337)) [file next.py] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}, total=False) p = Point(dict(x=42, y=1337)) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] __main__.Point __main__.p [case testTypeAliasSimple] A = int B = int [file next.py] A = str B = int [out] __main__.A [case testTypeAliasGeneric] from typing import List A = List[int] B = List[int] [file next.py] from typing import List A = List[str] B = List[int] [builtins fixtures/list.pyi] [out] __main__.A [case testTypeAliasGenToNonGen] from typing import List A = List[str] B = List [file next.py] from typing import List A = List B = List [builtins fixtures/list.pyi] [out] __main__.A [case testTypeAliasNonGenToGen] from typing import List A = List B = List [file next.py] from typing import List A = List[str] B = List [builtins fixtures/list.pyi] [out] __main__.A [case testTypeAliasGenericTypeVar] from typing import TypeVar, Dict T = TypeVar('T') S = TypeVar('S') A = Dict[str, T] B = Dict[str, S] [file next.py] from typing import TypeVar, Dict class T: pass S = TypeVar('S') A = Dict[str, T] B = Dict[str, S] [builtins fixtures/dict.pyi] [out] __main__.A __main__.T [case testNewType] from typing import NewType class C: pass class D: pass N1 = NewType('N1', C) N2 = NewType('N2', D) N3 = NewType('N3', C) class N4(C): pass [file next.py] from typing import NewType class C: pass class D(C): pass N1 = NewType('N1', C) N2 = NewType('N2', D) class N3(C): pass N4 = NewType('N4', C) [out] __main__.D __main__.N2 __main__.N3 __main__.N3.__init__ __main__.N4 __main__.N4.__init__ [case testChangeGenericBaseClassOnly] from typing import List class C(List[int]): pass [file next.py] from typing import List class C(List[str]): pass [builtins fixtures/list.pyi] [out] __main__.C [case testOverloads] from typing import overload class C: pass @overload def a(x: int) -> None: pass @overload def a(x: str) -> str: pass def a(x): pass @overload def b(x: int) -> None: pass @overload def b(x: str) -> str: pass def b(x): pass @overload def c(x: int) -> None: pass @overload def c(x: str) -> str: pass def c(x): pass @overload def d(x: int) -> None: pass @overload def d(x: str) -> str: pass def d(x): pass [file next.py] from typing import overload class C: pass @overload def a(x: int) -> None: pass @overload def a(x: str) -> str: pass def a(x): pass @overload def b(x: str) -> str: pass @overload def b(x: int) -> None: pass def b(x): pass @overload def c(x: int) -> None: pass @overload def c(x: str) -> str: pass @overload def c(x: C) -> C: pass def c(x): pass def d(x: int) -> None: pass @overload def e(x: int) -> None: pass @overload def e(x: str) -> str: pass def e(x): pass [out] __main__.b __main__.c __main__.d __main__.e [case testOverloadsExternalOnly] from typing import overload class Base: pass class A(Base): pass class B(Base): pass class C(Base): pass @overload def f(x: A) -> A: pass @overload def f(x: B) -> B: pass def f(x: Base) -> Base: pass @overload def g(x: A) -> A: pass @overload def g(x: B) -> B: pass def g(x: Base) -> Base: pass [file next.py] from typing import overload class Base: pass class A(Base): pass class B(Base): pass class C(Base): pass @overload def f(x: A) -> A: pass @overload def f(x: B) -> B: pass def f(x: object) -> object: pass @overload def g(x: A) -> A: pass @overload def g(x: C) -> C: pass def g(x: Base) -> Base: pass [out] __main__.g [case testNestedFunctionDoesntMatter] class A: pass class B: pass def outer() -> None: def inner(x: A) -> B: pass [file next.py] class A: pass class B: pass def outer() -> None: def inner(y: B) -> A: pass [out] [case testProtocolVsNominal] from typing import Protocol class A(Protocol): x: int class B(Protocol): x: int class C(Protocol): x: int class D(Protocol): x: int [file next.py] from typing import Protocol class A(Protocol): x: int class B(Protocol): x: str class C(Protocol): x: int y: int class D: x: int [out] __main__.B.x __main__.C.(abstract) __main__.C.y __main__.D __main__.D.(abstract) [case testProtocolNormalVsGeneric] from typing import Protocol, TypeVar T = TypeVar('T') class P(Protocol[T]): x: T class P2(Protocol[T]): x: T y: T [file next.py] from typing import Protocol, TypeVar T = TypeVar('T') class P(Protocol): x: int class P2(Protocol[T]): x: T [out] __main__.P __main__.P.x __main__.P2.(abstract) __main__.P2.y [case testAddAbstractMethod] from abc import abstractmethod class A: @abstractmethod def f(self) -> None: pass [file next.py] from abc import abstractmethod class A: @abstractmethod def f(self) -> None: pass @abstractmethod def g(self) -> None: pass [out] __main__.A.(abstract) __main__.A.g [case testFinalFlagsTriggerVar] from typing import Final v: Final = 1 w: Final = 1 x: Final = 1 y: Final[int] = 1 z: Final[int] = 1 same1: Final = 1 same2: Final[int] = 1 class C: v: Final = 1 w: Final = 1 x: Final = 1 y: Final[int] = 1 z: Final[int] = 1 same1: Final = 1 same2: Final[int] = 1 def __init__(self) -> None: self.vi: Final = 1 self.wi: Final = 1 self.xi: Final = 1 self.yi: Final[int] = 1 self.zi: Final[int] = 1 self.same1_instance: Final = 1 self.same2_instance: Final[int] = 1 [file next.py] from typing import Final v: Final = 0 w = 1 x: Final[int] = 1 y: int = 1 z: Final = 1 same1: Final = 1 same2: Final[int] = 0 class C: v: Final = 0 w = 1 x: Final[int] = 1 y: int = 1 z: Final = 1 same1: Final = 1 same2: Final[int] = 0 def __init__(self) -> None: self.vi: Final = 0 self.wi = 1 self.xi: Final[int] = 1 self.yi: int = 1 self.zi: Final = 1 self.same1_instance: Final = 1 self.same2_instance: Final[int] = 0 [out] __main__.C.v __main__.C.vi __main__.C.w __main__.C.wi __main__.C.x __main__.C.xi __main__.C.y __main__.C.yi __main__.C.z __main__.C.zi __main__.v __main__.w __main__.x __main__.y __main__.z [case testFinalFlagsTriggerMethod] from typing import final class C: def meth(self) -> int: pass @final def same(self) -> int: pass @classmethod def cmeth(cls) -> int: pass [file next.py] from typing import final class C: @final def meth(self) -> int: pass @final def same(self) -> int: pass @final @classmethod def cmeth(cls) -> int: pass [builtins fixtures/classmethod.pyi] [out] __main__.C.cmeth __main__.C.meth [case testFinalFlagsTriggerProperty] from typing import final class C: @final @property def p(self) -> int: pass @final @property def same(self) -> str: pass [file next.py] from typing import final class C: @property def p(self) -> int: pass @final @property def same(self) -> str: pass [builtins fixtures/property.pyi] [out] __main__.C.p [case testFinalFlagsTriggerMethodOverload] from typing import final, overload class C: @overload def m(self, x: int) -> int: ... @overload def m(self, x: str) -> str: ... @final def m(self, x): pass @overload def same(self, x: int) -> int: ... @overload def same(self, x: str) -> str: ... @final def same(self, x): pass [file next.py] from typing import final, overload class C: @overload def m(self, x: int) -> int: ... @overload def m(self, x: str) -> str: ... def m(self, x): pass @overload def same(self, x: int) -> int: ... @overload def same(self, x: str) -> str: ... @final def same(self, x): pass [out] __main__.C.m [case testDynamicBasePluginDiff] # flags: --config-file tmp/mypy.ini from mod import declarative_base, Column, Instr Base = declarative_base() class Model(Base): x: Column[int] class Other: x: Column[int] class Diff: x: Column[int] [file next.py] from mod import declarative_base, Column, Instr Base = declarative_base() class Model(Base): x: Column[int] class Other: x: Column[int] class Diff(Base): x: Column[int] [file mod.py] from typing import Generic, TypeVar def declarative_base(): ... T = TypeVar('T') class Column(Generic[T]): ... class Instr(Generic[T]): ... [file mypy.ini] \[mypy] plugins=/test-data/unit/plugins/dyn_class.py [out] __main__.Diff __main__.Diff.x [case testLiteralTriggersVar] from typing import Literal x: Literal[1] = 1 y = 1 z: Literal[1] = 1 same: Literal[1] = 1 class C: x_class: Literal[1] = 1 y_class = 1 z_class: Literal[1] = 1 same_class: Literal[1] = 1 def __init__(self) -> None: self.x_instance: Literal[1] = 1 self.y_instance = 1 self.z_instance: Literal[1] = 1 self.same_instance: Literal[1] = 1 [file next.py] from typing import Literal x = 1 y: Literal[1] = 1 z: Literal[2] = 2 same: Literal[1] = 1 class C: x_class = 1 y_class: Literal[1] = 1 z_class: Literal[2] = 2 same_class: Literal[1] = 1 def __init__(self) -> None: self.x_instance = 1 self.y_instance: Literal[1] = 1 self.z_instance: Literal[2] = 2 self.same_instance: Literal[1] = 1 [builtins fixtures/tuple.pyi] [out] __main__.C.x_class __main__.C.x_instance __main__.C.y_class __main__.C.y_instance __main__.C.z_class __main__.C.z_instance __main__.x __main__.y __main__.z [case testLiteralTriggersFunctions] from typing import Literal def function_1() -> int: pass def function_2() -> Literal[1]: pass def function_3() -> Literal[1]: pass def function_4(x: int) -> None: pass def function_5(x: Literal[1]) -> None: pass def function_6(x: Literal[1]) -> None: pass def function_same_1() -> Literal[1]: pass def function_same_2(x: Literal[1]) -> None: pass class C: def method_1(self) -> int: pass def method_2(self) -> Literal[1]: pass def method_3(self) -> Literal[1]: pass def method_4(self, x: int) -> None: pass def method_5(self, x: Literal[1]) -> None: pass def method_6(self, x: Literal[1]) -> None: pass def method_same_1(self) -> Literal[1]: pass def method_same_2(self, x: Literal[1]) -> None: pass @classmethod def classmethod_1(cls) -> int: pass @classmethod def classmethod_2(cls) -> Literal[1]: pass @classmethod def classmethod_3(cls) -> Literal[1]: pass @classmethod def classmethod_4(cls, x: int) -> None: pass @classmethod def classmethod_5(cls, x: Literal[1]) -> None: pass @classmethod def classmethod_6(cls, x: Literal[1]) -> None: pass @classmethod def classmethod_same_1(cls) -> Literal[1]: pass @classmethod def classmethod_same_2(cls, x: Literal[1]) -> None: pass @staticmethod def staticmethod_1() -> int: pass @staticmethod def staticmethod_2() -> Literal[1]: pass @staticmethod def staticmethod_3() -> Literal[1]: pass @staticmethod def staticmethod_4(x: int) -> None: pass @staticmethod def staticmethod_5(x: Literal[1]) -> None: pass @staticmethod def staticmethod_6(x: Literal[1]) -> None: pass @staticmethod def staticmethod_same_1() -> Literal[1]: pass @staticmethod def staticmethod_same_2(x: Literal[1]) -> None: pass [file next.py] from typing import Literal def function_1() -> Literal[1]: pass def function_2() -> int: pass def function_3() -> Literal[2]: pass def function_4(x: Literal[1]) -> None: pass def function_5(x: int) -> None: pass def function_6(x: Literal[2]) -> None: pass def function_same_1() -> Literal[1]: pass def function_same_2(x: Literal[1]) -> None: pass class C: def method_1(self) -> Literal[1]: pass def method_2(self) -> int: pass def method_3(self) -> Literal[2]: pass def method_4(self, x: Literal[1]) -> None: pass def method_5(self, x: int) -> None: pass def method_6(self, x: Literal[2]) -> None: pass def method_same_1(self) -> Literal[1]: pass def method_same_2(self, x: Literal[1]) -> None: pass @classmethod def classmethod_1(cls) -> Literal[1]: pass @classmethod def classmethod_2(cls) -> int: pass @classmethod def classmethod_3(cls) -> Literal[2]: pass @classmethod def classmethod_4(cls, x: Literal[1]) -> None: pass @classmethod def classmethod_5(cls, x: int) -> None: pass @classmethod def classmethod_6(cls, x: Literal[2]) -> None: pass @classmethod def classmethod_same_1(cls) -> Literal[1]: pass @classmethod def classmethod_same_2(cls, x: Literal[1]) -> None: pass @staticmethod def staticmethod_1() -> Literal[1]: pass @staticmethod def staticmethod_2() -> int: pass @staticmethod def staticmethod_3() -> Literal[2]: pass @staticmethod def staticmethod_4(x: Literal[1]) -> None: pass @staticmethod def staticmethod_5(x: int) -> None: pass @staticmethod def staticmethod_6(x: Literal[2]) -> None: pass @staticmethod def staticmethod_same_1() -> Literal[1]: pass @staticmethod def staticmethod_same_2(x: Literal[1]) -> None: pass [builtins fixtures/classmethod.pyi] [out] __main__.C.classmethod_1 __main__.C.classmethod_2 __main__.C.classmethod_3 __main__.C.classmethod_4 __main__.C.classmethod_5 __main__.C.classmethod_6 __main__.C.method_1 __main__.C.method_2 __main__.C.method_3 __main__.C.method_4 __main__.C.method_5 __main__.C.method_6 __main__.C.staticmethod_1 __main__.C.staticmethod_2 __main__.C.staticmethod_3 __main__.C.staticmethod_4 __main__.C.staticmethod_5 __main__.C.staticmethod_6 __main__.function_1 __main__.function_2 __main__.function_3 __main__.function_4 __main__.function_5 __main__.function_6 [case testLiteralTriggersProperty] from typing import Literal class C: @property def p1(self) -> Literal[1]: pass @property def p2(self) -> int: pass @property def same(self) -> Literal[1]: pass [file next.py] from typing import Literal class C: @property def p1(self) -> int: pass @property def p2(self) -> Literal[1]: pass @property def same(self) -> Literal[1]: pass [builtins fixtures/property.pyi] [out] __main__.C.p1 __main__.C.p2 [case testLiteralsTriggersOverload] from typing import Literal, overload @overload def func(x: str) -> str: ... @overload def func(x: Literal[1]) -> int: ... def func(x): pass @overload def func_same(x: str) -> str: ... @overload def func_same(x: Literal[1]) -> int: ... def func_same(x): pass class C: @overload def method(self, x: str) -> str: ... @overload def method(self, x: Literal[1]) -> int: ... def method(self, x): pass @overload def method_same(self, x: str) -> str: ... @overload def method_same(self, x: Literal[1]) -> int: ... def method_same(self, x): pass [file next.py] from typing import Literal, overload @overload def func(x: str) -> str: ... @overload def func(x: Literal[2]) -> int: ... def func(x): pass @overload def func_same(x: str) -> str: ... @overload def func_same(x: Literal[1]) -> int: ... def func_same(x): pass class C: @overload def method(self, x: str) -> str: ... @overload def method(self, x: Literal[2]) -> int: ... def method(self, x): pass @overload def method_same(self, x: str) -> str: ... @overload def method_same(self, x: Literal[1]) -> int: ... def method_same(self, x): pass [builtins fixtures/tuple.pyi] [out] __main__.C.method __main__.func [case testUnionOfLiterals] from typing import Literal x: Literal[1, '2'] [file next.py] from typing import Literal x: Literal[1, 2] [builtins fixtures/tuple.pyi] [out] __main__.x [case testUnionOfCallables] from typing import Callable, Union from mypy_extensions import Arg x: Union[Callable[[Arg(int, 'x')], None], Callable[[int], None]] [file next.py] from typing import Callable, Union from mypy_extensions import Arg x: Union[Callable[[Arg(int, 'y')], None], Callable[[int], None]] [builtins fixtures/tuple.pyi] [out] __main__.x [case testChangeParamSpec] from typing import ParamSpec, TypeVar A = ParamSpec('A') B = ParamSpec('B') C = TypeVar('C') [file next.py] from typing import ParamSpec, TypeVar A = ParamSpec('A') B = TypeVar('B') C = ParamSpec('C') [out] __main__.B __main__.C [case testEmptyBodySuper] from abc import abstractmethod class C: @abstractmethod def meth(self) -> int: ... [file next.py] from abc import abstractmethod class C: @abstractmethod def meth(self) -> int: return 0 [out] __main__.C.meth [case testGenericFunctionWithOptionalReturnType] from typing import Type, TypeVar T = TypeVar("T") class C: @classmethod def get_by_team_and_id( cls: Type[T], raw_member_id: int, include_removed: bool = False, ) -> T: pass [file next.py] from typing import Type, TypeVar, Optional T = TypeVar("T") class C: @classmethod def get_by_team_and_id( cls: Type[T], raw_member_id: int, include_removed: bool = False, ) -> Optional[T]: pass [builtins fixtures/classmethod.pyi] [out] __main__.C.get_by_team_and_id __main__.Optional [case testPEP695TypeAlias] # flags: --python-version=3.12 from typing_extensions import TypeAlias, TypeAliasType type A = int type B = str type C = int D = int E: TypeAlias = int F = TypeAliasType("F", int) G = TypeAliasType("G", int) type H = int [file next.py] # flags: --python-version=3.12 from typing_extensions import TypeAlias, TypeAliasType type A = str type B = str type C[T] = int type D = int type E = int type F = int type G = str type H[T] = int [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [out] __main__.A __main__.C __main__.D __main__.E __main__.G __main__.H [case testPEP695TypeAlias2] # flags: --python-version=3.12 type A[T: int] = list[T] type B[T: int] = list[T] type C[T: (int, str)] = list[T] type D[T: (int, str)] = list[T] type E[T: int] = list[T] type F[T: (int, str)] = list[T] [file next.py] # flags: --python-version=3.12 type A[T] = list[T] type B[T: str] = list[T] type C[T: (int, None)] = list[T] type D[T] = list[T] type E[T: int] = list[T] type F[T: (int, str)] = list[T] [out] __main__.A __main__.B __main__.C __main__.D [case testPEP695GenericFunction] # flags: --python-version=3.12 def f[T](x: T) -> T: return x def g[T](x: T, y: T) -> T: return x [file next.py] # flags: --python-version=3.12 def f[T](x: T) -> T: return x def g[T, S](x: T, y: S) -> S: return y [out] __main__.g [case testPEP695GenericClass] # flags: --python-version=3.12 class C[T]: pass class D[T]: pass class E[T]: pass class F[T]: def f(self, x: object) -> T: ... [file next.py] # flags: --python-version=3.12 class C[T]: pass class D[T: int]: pass class E: pass class F[T]: def f(self, x: T) -> T: ... [out] __main__.D __main__.E __main__.F __main__.F.f ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/envvars.test0000644000175100017510000000042415112307767017511 0ustar00runnerrunner# Test cases related to environment variables [case testEnvvar_MYPY_CONFIG_FILE_DIR] # cmd: mypy --config-file=subdir/mypy.ini [file bogus.py] FOO = 'x' # type: int [file subdir/good.py] BAR = 0 # type: int [file subdir/mypy.ini] \[mypy] files=$MYPY_CONFIG_FILE_DIR/good.py ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/errorstream.test0000644000175100017510000000221015112307767020365 0ustar00runnerrunner-- Test cases for incremental error streaming. -- Each time errors are reported, '==== Errors flushed ====' is printed. [case testErrorStream] import b [file a.py] 1 + '' [file b.py] import a '' / 2 [out] ==== Errors flushed ==== a.py:1: error: Unsupported operand types for + ("int" and "str") ==== Errors flushed ==== b.py:2: error: Unsupported operand types for / ("str" and "int") [case testBlockers] import b [file a.py] 1 + '' [file b.py] import a break 1 / '' # won't get reported, after a blocker [out] ==== Errors flushed ==== a.py:1: error: Unsupported operand types for + ("int" and "str") ==== Errors flushed ==== b.py:2: error: "break" outside loop [case testCycles] import a [file a.py] import b 1 + '' def f() -> int: reveal_type(b.x) return b.x y = 0 + int() [file b.py] import a def g() -> int: reveal_type(a.y) return a.y 1 / '' x = 1 + int() [out] ==== Errors flushed ==== b.py:3: note: Revealed type is "builtins.int" b.py:5: error: Unsupported operand types for / ("int" and "str") ==== Errors flushed ==== a.py:2: error: Unsupported operand types for + ("int" and "str") a.py:4: note: Revealed type is "builtins.int" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/exportjson.test0000644000175100017510000001552615112307767020251 0ustar00runnerrunner-- Test cases for exporting mypy cache files to JSON (mypy.exportjson). -- -- The tool is maintained on a best effort basis so we don't attempt to have -- full test coverage. -- -- Some tests only ensure that *some* JSON is generated successfully. These -- have as [out]. [case testExportVar] x = 0 [out] { ".class": "MypyFile", "_fullname": "main", "names": { ".class": "SymbolTable", "x": { ".class": "SymbolTableNode", "kind": "Gdef", "node": { ".class": "Var", "name": "x", "fullname": "main.x", "type": "builtins.int", "setter_type": null, "flags": [ "is_ready", "is_inferred", "has_explicit_value" ] } } }, "is_stub": false, "path": ..., "is_partial_stub_package": false, "future_import_flags": [] } [case testExportClass] class C: x: int [out] { ".class": "MypyFile", "_fullname": "main", "names": { ".class": "SymbolTable", "C": { ".class": "SymbolTableNode", "kind": "Gdef", "node": { ".class": "TypeInfo", "module_name": "main", "fullname": "main.C", "names": { ".class": "SymbolTable", "x": { ".class": "SymbolTableNode", "kind": "Mdef", "node": { ".class": "Var", "name": "x", "fullname": "main.C.x", "type": "builtins.int", "setter_type": null, "flags": [ "is_initialized_in_class", "is_ready" ] } } }, "defn": { ".class": "ClassDef", "name": "C", "fullname": "main.C", "type_vars": [] }, "abstract_attributes": [], "type_vars": [], "has_param_spec_type": false, "bases": [ "builtins.object" ], "mro": [ "main.C", "builtins.object" ], "_promote": [], "alt_promote": null, "declared_metaclass": null, "metaclass_type": null, "tuple_type": null, "typeddict_type": null, "flags": [], "metadata": {}, "slots": null, "deletable_attributes": [], "self_type": null, "dataclass_transform_spec": null, "deprecated": null } } }, "is_stub": false, "path": ..., "is_partial_stub_package": false, "future_import_flags": [] } [case testExportCrossRef] from typing import Any [out] { ".class": "MypyFile", "_fullname": "main", "names": { ".class": "SymbolTable", "Any": { ".class": "SymbolTableNode", "kind": "Gdef", "cross_ref": "typing.Any" } }, "is_stub": false, "path": ..., "is_partial_stub_package": false, "future_import_flags": [] } [case testExportFuncDef] def foo(a: int) -> None: ... [out] { ".class": "MypyFile", "_fullname": "main", "names": { ".class": "SymbolTable", "foo": { ".class": "SymbolTableNode", "kind": "Gdef", "node": { ".class": "FuncDef", "name": "foo", "fullname": "main.foo", "arg_names": [ "a" ], "arg_kinds": [ 0 ], "type": { ".class": "CallableType", "arg_types": [ "builtins.int" ], "arg_kinds": [ 0 ], "arg_names": [ "a" ], "ret_type": { ".class": "NoneType" }, "fallback": "builtins.function", "name": "foo", "variables": [], "is_ellipsis_args": false, "implicit": false, "is_bound": false, "type_guard": null, "type_is": null, "from_concatenate": false, "imprecise_arg_kinds": false, "unpack_kwargs": false }, "flags": [], "abstract_status": 0, "dataclass_transform_spec": null, "deprecated": null, "original_first_arg": "a" } } }, "is_stub": false, "path": ..., "is_partial_stub_package": false, "future_import_flags": [] } [case testExportDifferentTypes] from __future__ import annotations from typing import Callable, Any, Literal, NoReturn, TypedDict, NamedTuple list_ann: list[int] any_ann: Any tuple_ann: tuple[int, str] union_ann: int | None callable_ann: Callable[[int], str] type_type_ann: type[int] literal_ann: Literal['x', 5, False] def f() -> NoReturn: assert False BadType = 1 x: BadType # type: ignore class TD(TypedDict): x: int td = TD(x=1) NT = NamedTuple("NT", [("x", int)]) nt = NT(x=1) [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [out] [case testExportGenericTypes] from __future__ import annotations from typing import TypeVar, Callable from typing_extensions import TypeVarTuple, ParamSpec, Unpack, Concatenate T = TypeVar("T") def ident(x: T) -> T: return x Ts = TypeVarTuple("Ts") def ts(t: tuple[Unpack[Ts]]) -> tuple[Unpack[Ts]]: return t P = ParamSpec("P") def pspec(f: Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: f(*args, **kwargs) def concat(f: Callable[Concatenate[int, P], None], *args: P.args, **kwargs: P.kwargs) -> None: f(1, *args, **kwargs) [builtins fixtures/tuple.pyi] [out] [case testExportDifferentNodes] from __future__ import annotations import typing from typing import overload, TypeVar @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x: int | str) -> int | str: ... T = TypeVar("T") def deco(f: T) -> T: return f @deco def foo(x: int) -> int: ... X = int x: X = 2 [builtins fixtures/tuple.pyi] [out] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-attr.test0000644000175100017510000000241315112307767021325 0ustar00runnerrunner[case updateMagicField] from attrs import Attribute import m def g() -> Attribute[int]: return m.A.__attrs_attrs__[0] [file m.py] from attrs import define @define class A: a: int [file m.py.2] from attrs import define @define class A: a: float [builtins fixtures/plugin_attrs.pyi] [out] == main:5: error: Incompatible return value type (got "Attribute[float]", expected "Attribute[int]") [case magicAttributeConsistency] import m [file c.py] from attrs import define @define class A: a: float b: int [builtins fixtures/plugin_attrs.pyi] [file m.py] from c import A A.__attrs_attrs__.a [file m.py.2] from c import A A.__attrs_attrs__.b [out] == [case magicAttributeConsistency2-only_when_cache] [file c.py] import attrs @attrs.define class Entry: var: int [builtins fixtures/plugin_attrs.pyi] [file m.py] from typing import Any, ClassVar, Protocol from c import Entry class AttrsInstance(Protocol): __attrs_attrs__: ClassVar[Any] def func(e: AttrsInstance) -> None: ... func(Entry(2)) [file m.py.2] from typing import Any, ClassVar, Protocol from c import Entry class AttrsInstance(Protocol): __attrs_attrs__: ClassVar[Any] def func(e: AttrsInstance) -> int: return 2 # Change return type to force reanalysis func(Entry(2)) [out] == ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-blockers.test0000644000175100017510000002750115112307767022164 0ustar00runnerrunner-- Test cases for fine-grained incremental mode and blocking errors -- -- The comments in fine-grained.test explain how these tests work. -- TODO: -- - blocking error while other existing errors as well (that get preserved) -- - differences in other modules + blocking error [case testParseError] import a a.f() [file a.py] def f() -> None: pass [file a.py.2] def f(x: int) -> [file a.py.3] def f(x: int) -> None: pass [file a.py.4] def f() -> None: pass [out] == a.py:1: error: Invalid syntax == main:2: error: Missing positional argument "x" in call to "f" == [out version>=3.10] == a.py:1: error: Expected ':' == main:2: error: Missing positional argument "x" in call to "f" == [case testParseErrorShowSource] # flags: --pretty --show-error-codes import a a.f() [file a.py] def f() -> None: pass [file a.py.2] def f(x: int) -> [file a.py.3] def f(x: int) -> None: pass [file a.py.4] def f() -> None: pass [out] == a.py:1: error: Invalid syntax [syntax] def f(x: int) -> ^ == main:3: error: Missing positional argument "x" in call to "f" [call-arg] a.f() ^~~~~ == [out version>=3.10] == a.py:1: error: Expected ':' [syntax] def f(x: int) -> ^ == main:3: error: Missing positional argument "x" in call to "f" [call-arg] a.f() ^~~~~ == [case testParseErrorMultipleTimes] import a a.f() [file a.py] def f() -> None: pass [file a.py.2] def f(x: int) -> [file a.py.3] def f(x: int ) -> None [file a.py.4] def f(x: int) -> None: pass [out] == a.py:1: error: Invalid syntax == a.py:2: error: Invalid syntax == main:2: error: Missing positional argument "x" in call to "f" [out version>=3.10] == a.py:1: error: Expected ':' == a.py:2: error: Expected ':' == main:2: error: Missing positional argument "x" in call to "f" [case testSemanticAnalysisBlockingError] import a a.f() [file a.py] def f() -> None: pass [file a.py.2] def f() -> None: pass break [file a.py.3] def f(x: int) -> None: pass [out] == a.py:2: error: "break" outside loop == main:2: error: Missing positional argument "x" in call to "f" [case testBlockingErrorWithPreviousError] import a import b a.f(1) def g() -> None: b.f(1) [file a.py] def f() -> None: pass [file b.py] def f() -> None: pass [file a.py.2] def f() -> None [file a.py.3] def f() -> None: pass [out] main:3: error: Too many arguments for "f" main:5: error: Too many arguments for "f" == a.py:1: error: Invalid syntax == main:3: error: Too many arguments for "f" main:5: error: Too many arguments for "f" [out version>=3.10] main:3: error: Too many arguments for "f" main:5: error: Too many arguments for "f" == a.py:1: error: Expected ':' == main:3: error: Too many arguments for "f" main:5: error: Too many arguments for "f" [case testUpdateClassReferenceAcrossBlockingError] import a c: a.C def f() -> None: c.f() [file a.py] class C: def f(self) -> None: pass [file a.py.2] error error [file a.py.3] class C: def f(self, x: int) -> None: pass [out] == a.py:1: error: Invalid syntax == main:5: error: Missing positional argument "x" in call to "f" of "C" [out version==3.10.0] == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == main:5: error: Missing positional argument "x" in call to "f" of "C" [case testAddFileWithBlockingError] import a a.f(1) [file a.py.2] x x [file a.py.3] def f() -> None: pass [out] main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == a.py:1: error: Invalid syntax == main:2: error: Too many arguments for "f" [out version==3.10.0] main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == main:2: error: Too many arguments for "f" [case testModifyTwoFilesOneWithBlockingError1] import a [file a.py] import b def f() -> None: pass b.g() [file b.py] import a a.f() def g() -> None: pass [file a.py.2] import b # Dummy edit def f() -> None: pass b.g() [file b.py.2] import a a # Syntax error a.f() def g() -> None: pass [file b.py.3] import a a.f() def g() -> None: pass [out] == b.py:1: error: Invalid syntax == [case testModifyTwoFilesOneWithBlockingError2] import a [file a.py] import b def f() -> None: pass b.g() [file b.py] import a a.f() def g() -> None: pass [file a.py.2] import b b def f() -> None: pass b.g() [file b.py.2] import a # Dummy edit a.f() def g() -> None: pass [file a.py.3] import b def f() -> None: pass b.g() [out] == a.py:1: error: Invalid syntax == [case testBlockingErrorRemainsUnfixed] import a [file a.py] import b b.f() [file b.py] def f() -> None: pass [file a.py.2] x x [file b.py.3] def f(x: int) -> None: pass [file a.py.4] import b b.f() [out] == a.py:1: error: Invalid syntax == a.py:1: error: Invalid syntax == a.py:2: error: Missing positional argument "x" in call to "f" [out version==3.10.0] == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == a.py:2: error: Missing positional argument "x" in call to "f" [case testModifyTwoFilesIntroduceTwoBlockingErrors] import a [file a.py] import b def f() -> None: pass b.g() [file b.py] import a a.f() def g() -> None: pass [file a.py.2] import b b def f() -> None: pass b.g() [file b.py.2] import a a a.f() def g() -> None: pass [file a.py.3] import b b def f() -> None: pass b.g() [file b.py.3] import a a a.f() def g() -> None: pass [file a.py.4] import b def f() -> None: pass b.g(1) [file b.py.4] import a def g() -> None: pass a.f(1) [out] == a.py:1: error: Invalid syntax == a.py:1: error: Invalid syntax == a.py:3: error: Too many arguments for "g" b.py:3: error: Too many arguments for "f" [case testDeleteFileWithBlockingError-only_when_nocache] -- Different cache/no-cache tests because: -- Error message ordering differs import a import b [file a.py] def f() -> None: pass [file b.py] import a a.f() [file a.py.2] x x [delete a.py.3] [out] == a.py:1: error: Invalid syntax == main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports b.py:1: error: Cannot find implementation or library stub for module named "a" [out version==3.10.0] == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports b.py:1: error: Cannot find implementation or library stub for module named "a" [case testDeleteFileWithBlockingError2-only_when_cache] -- Different cache/no-cache tests because: -- Error message ordering differs import a import b [file a.py] def f() -> None: pass [file b.py] import a a.f() [file a.py.2] x x [delete a.py.3] [out] == a.py:1: error: Invalid syntax == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "a" [out version==3.10.0] == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "a" [case testModifyFileWhileBlockingErrorElsewhere] import a import b [file a.py] [file b.py] import a [file a.py.2] x x [file b.py.3] import a a.f() 1() [file a.py.4] [builtins fixtures/module.pyi] [out] == a.py:1: error: Invalid syntax == a.py:1: error: Invalid syntax == b.py:2: error: Module has no attribute "f" b.py:3: error: "int" not callable [out version==3.10.0] == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == b.py:2: error: Module has no attribute "f" b.py:3: error: "int" not callable [case testImportBringsAnotherFileWithBlockingError1] import a [file a.py] [file a.py.2] import blocker 1() [file a.py.3] 1() def f() -> None: pass [out] == /test-data/unit/lib-stub/blocker.pyi:2: error: Invalid syntax == a.py:1: error: "int" not callable [out version==3.10.0] == /test-data/unit/lib-stub/blocker.pyi:2: error: Invalid syntax. Perhaps you forgot a comma? == a.py:1: error: "int" not callable [case testImportBringsAnotherFileWithSemanticAnalysisBlockingError] import a [file a.py] [file a.py.2] import blocker2 1() [file a.py.3] 1() [out] == /test-data/unit/lib-stub/blocker2.pyi:2: error: "continue" outside loop == a.py:1: error: "int" not callable [case testFixingBlockingErrorTriggersDeletion1-only_when_nocache] -- Disabled in cache mdode: -- Cache mode fails to produce the error in the final step, but this is -- a manifestation of a bug that can occur in no-cache mode also. import a def g(x: a.A) -> None: x.f() [file a.py] class A: def f(self) -> None: pass [delete a.py.2] [file a.py.3] class A: pass [builtins fixtures/module.pyi] [out] == main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main:4: error: "A" has no attribute "f" [case testFixingBlockingErrorTriggersDeletion2] from a import A def g(x: A) -> None: x.f() [file a.py] class A: def f(self) -> None: pass [delete a.py.2] [file a.py.3] [builtins fixtures/module.pyi] [out] == main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main:1: error: Module "a" has no attribute "A" [case testFixingBlockingErrorBringsInAnotherModuleWithBlocker] import a [file a.py] [file a.py.2] x y [file a.py.3] import blocker 1() [file a.py.4] import sys 1() [builtins fixtures/tuple.pyi] [out] == a.py:1: error: Invalid syntax == /test-data/unit/lib-stub/blocker.pyi:2: error: Invalid syntax == a.py:2: error: "int" not callable [out version==3.10.0] == a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == /test-data/unit/lib-stub/blocker.pyi:2: error: Invalid syntax. Perhaps you forgot a comma? == a.py:2: error: "int" not callable [case testInitialBlocker] # cmd: mypy a.py b.py [file a.py] 1 1 [file b.py] def f() -> int: return '' [file a.py.2] x = 1 [file b.py.3] def f() -> int: return 0 [out] a.py:1: error: Invalid syntax == b.py:2: error: Incompatible return value type (got "str", expected "int") == [out version==3.10.0] a.py:1: error: Invalid syntax. Perhaps you forgot a comma? == b.py:2: error: Incompatible return value type (got "str", expected "int") == [case testDecodeErrorBlocker1-posix] import a a.f(1) [file a.py] def f(x: int) -> None: ... [file a.py.2] # coding: ascii ä = 1 [file a.py.3] def f(x: str) -> None: ... [out] == mypy: can't decode file 'tmp/a.py': 'ascii' codec can't decode byte 0xc3 in position 16: ordinal not in range(128) == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testDecodeErrorBlocker2-windows] import a a.f(1) [file a.py] def f(x: int) -> None: ... [file a.py.2] # coding: ascii ä = 1 [file a.py.3] def f(x: str) -> None: ... [out] == mypy: can't decode file 'tmp/a.py': 'ascii' codec can't decode byte 0xc3 in position 17: ordinal not in range(128) == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testDecodeErrorBlockerOnInitialRun-posix] # Note that there's no test variant for Windows, since the above Windows test case is good enough. import a a.f(1) [file a.py] # coding: ascii ä = 1 [file a.py.2] def f(x: str) -> None: ... [out] mypy: can't decode file 'tmp/a.py': 'ascii' codec can't decode byte 0xc3 in position 16: ordinal not in range(128) == main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-cache-incremental.test0000644000175100017510000001156415112307767023724 0ustar00runnerrunner-- Test cases for building caches for fine-grained mode using incremental -- builds. -- -- These tests are run only with the cache. -- -- '# num_build_steps: N' specifies how many regular build steps (without the daemon) -- to do before switching to running using the daemon. Default is 1. -- Add file -- -------- [case testIncrCacheBasic1] # num_build_steps: 2 import a [file a.py] from b import x def f() -> int: return 0 [file b.py] x = 1 [file a.py.2] from b import x def f() -> int: return 0 + x [file b.py.3] x = 'hi' [out] == == a.py:3: error: Unsupported operand types for + ("int" and "str") [case testIncrCacheBasic2] # num_build_steps: 2 import a [file a.py] from b import x def f() -> int: return 0+x [file b.py] x = 1 [file b.py.2] from c import x [file c.py.2] x = 1 [file c.py.3] x = 'hi' [out] == == a.py:3: error: Unsupported operand types for + ("int" and "str") [case testIncrCacheDoubleChange1] # num_build_steps: 2 import b import c [file a.py] def f(x: int) -> None: pass [file b.py] from a import f f(10) [file c.py] from a import f f(10) [file a.py.2] def f(x: int) -> None: pass # nothing changed [file a.py.3] def f(x: str) -> None: pass [out] == == c.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" b.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testIncrCacheProtocol1] # num_build_steps: 2 import a [file a.py] import b from typing import Protocol class P(Protocol): x: int def f() -> None: def g(x: P) -> None: pass g(b.C()) [file c.py] [file c.py.2] # yo [file b.py] class C: x: int [file b.py.3] class C: x: str -- If we did a *full* reload (because the proto cache failed to load), -- nothing would show up as stale [stale2 b] [rechecked2 a, b] [out] == == a.py:8: error: Argument 1 to "g" has incompatible type "C"; expected "P" a.py:8: note: Following member(s) of "C" have conflicts: a.py:8: note: x: expected "int", got "str" [case testIncrCacheProtocol2] # num_build_steps: 3 import a [file a.py] import b from typing import Protocol class P(Protocol): x: int class Q(Protocol): x: int def f() -> None: def g(x: P) -> None: pass g(b.C()) [file c.py] [file c.py.2] # uh [file c.py.3] from a import Q import b def f() -> None: def g(x: Q) -> None: pass g(b.C()) [file b.py] class C: x: int [file b.py.4] class C: x: str -- If we did a *full* reload (because the proto cache failed to load), -- nothing would show up as stale [stale3 b] [rechecked3 a, b, c] [out] == == == c.py:6: error: Argument 1 to "g" has incompatible type "C"; expected "Q" c.py:6: note: Following member(s) of "C" have conflicts: c.py:6: note: x: expected "int", got "str" a.py:10: error: Argument 1 to "g" has incompatible type "C"; expected "P" a.py:10: note: Following member(s) of "C" have conflicts: a.py:10: note: x: expected "int", got "str" [case testIncrCacheProtocol3] # num_build_steps: 2 import a [file a.py] import b from typing import Protocol class P(Protocol): x: int def f() -> None: def g(x: P) -> None: pass g(b.C()) [file c.py] [file c.py.2] # yo [file b.py] class C: x: int [file b.py.3] class C: x: int y: int [file b.py.4] class C: x: str y: int -- If we did a *full* reload (because the proto cache failed to load), -- nothing would show up as stale [stale2 b] [rechecked2 b] [stale3 b] [rechecked3 a, b] [out] == == == a.py:8: error: Argument 1 to "g" has incompatible type "C"; expected "P" a.py:8: note: Following member(s) of "C" have conflicts: a.py:8: note: x: expected "int", got "str" [case testIncrCacheBustedProtocol] # flags: --no-sqlite-cache [file a.py] [file b.py] -- This is a heinous hack, but we simulate having a invalid cache by clobbering -- the proto deps file with something with mtime mismatches. [file ../.mypy_cache/3.9/@deps.meta.json.2] {"snapshot": {"__main__": "a7c958b001a45bd6a2a320f4e53c4c16", "a": "d41d8cd98f00b204e9800998ecf8427e", "b": "d41d8cd98f00b204e9800998ecf8427e", "builtins": "c532c89da517a4b779bcf7a964478d67"}, "deps_meta": {"@root": {"path": "@root.deps.json", "mtime": 0}, "__main__": {"path": "__main__.deps.json", "mtime": 0}, "a": {"path": "a.deps.json", "mtime": 0}, "b": {"path": "b.deps.json", "mtime": 0}, "builtins": {"path": "builtins.deps.json", "mtime": 0}}} [file b.py.2] # uh -- A full reload shows up as nothing getting rechecked by fine-grained mode. -- If we did not do a full reload, b would be stale and checked in fine-grained mode [stale] [rechecked] [out] == [case testInvalidateCachePart] # flags: --no-sqlite-cache # cmd: mypy a1.py a2.py b.py p/__init__.py p/c.py [file a1.py] import p from b import x from p.c import C [file a2.py] import p from b import x from p.c import C [file b.py] x = 10 [file p/__init__.py] [file p/c.py] class C: pass [delete ../.mypy_cache/3.9/b.meta.json.2] [delete ../.mypy_cache/3.9/p/c.meta.json.2] [out] == ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-cycles.test0000644000175100017510000000622315112307767021640 0ustar00runnerrunner-- Test cases for fine-grained incremental checking and import cycles -- -- The comment at the top of fine-grained.test explains how these tests -- work. [case testFunctionSelfReferenceThroughImportCycle] import a [file a.py] from b import f [file b.py] import a def f() -> None: a.f() [file b.py.2] import a def f(x: int) -> None: a.f() [out] == b.py:4: error: Missing positional argument "x" in call to "f" [case testClassSelfReferenceThroughImportCycle] import a [file a.py] from b import A [file b.py] import a class A: def g(self) -> None: pass def f() -> None: a.A().g() [file b.py.2] import a class A: def g(self, x: int) -> None: pass def f() -> None: a.A().g() [out] == b.py:7: error: Missing positional argument "x" in call to "g" of "A" [case testAnnotationSelfReferenceThroughImportCycle] import a [file a.py] from b import A [file b.py] import a x: a.A class A: def g(self) -> None: pass def f() -> None: x.g() [file b.py.2] import a x: a.A class A: def g(self, x: int) -> None: pass def f() -> None: x.g() [out] == b.py:9: error: Missing positional argument "x" in call to "g" of "A" [case testModuleSelfReferenceThroughImportCycle] import a [file a.py] import b [file b.py] import a def f() -> None: a.b.f() [file b.py.2] import a def f(x: int) -> None: a.b.f() [out] == b.py:4: error: Missing positional argument "x" in call to "f" [case testVariableSelfReferenceThroughImportCycle] import a [file a.py] from b import x [file b.py] import a x: int def f() -> None: a.x = 1 [file b.py.2] import a x: str def f() -> None: a.x = 1 [out] == b.py:6: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testReferenceToTypeThroughCycle] import a [file a.py] from b import C def f() -> C: pass [file b.py] import a class C: def g(self) -> None: pass def h() -> None: c = a.f() c.g() [file b.py.2] import a class C: def g(self, x: int) -> None: pass def h() -> None: c = a.f() c.g() [out] == b.py:8: error: Missing positional argument "x" in call to "g" of "C" [case testReferenceToTypeThroughCycleAndDeleteType] import a [file a.py] from b import C def f() -> C: pass [file b.py] import a class C: def g(self) -> None: pass def h() -> None: c = a.f() c.g() [file b.py.2] import a def h() -> None: c = a.f() c.g() [out] == a.py:1: error: Module "b" has no attribute "C" [case testReferenceToTypeThroughCycleAndReplaceWithFunction] import a [file a.py] from b import C def f() -> C: pass [file b.py] import a class C: def g(self) -> None: pass def h() -> None: c = a.f() c.g() [file b.py.2] import a def C() -> int: pass def h() -> None: c = a.f() c.g() [out] == a.py:3: error: Function "b.C" is not valid as a type a.py:3: note: Perhaps you need "Callable[...]" or a callback protocol? b.py:7: error: C? has no attribute "g" -- TODO: More import cycle: -- -- * "from x import y" through cycle -- * "from x import *" through cycle -- * "Cls.module" though cycle -- * TypeVar -- * type alias -- * all kinds of reference deleted -- * all kinds of reference rebound to different kind -- -- etc. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-dataclass-transform.test0000644000175100017510000000532615112307767024331 0ustar00runnerrunner[case updateDataclassTransformParameterViaDecorator] # flags: --python-version 3.11 from m import my_dataclass @my_dataclass class Foo: x: int foo = Foo(1) foo.x = 2 [file m.py] from typing import dataclass_transform @dataclass_transform(frozen_default=False) def my_dataclass(cls): return cls [file m.py.2] from typing import dataclass_transform @dataclass_transform(frozen_default=True) def my_dataclass(cls): return cls [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [out] == main:9: error: Property "x" defined in "Foo" is read-only [case updateDataclassTransformParameterViaParentClass] # flags: --python-version 3.11 from m import Dataclass class Foo(Dataclass): x: int foo = Foo(1) foo.x = 2 [file m.py] from typing import dataclass_transform @dataclass_transform(frozen_default=False) class Dataclass: ... [file m.py.2] from typing import dataclass_transform @dataclass_transform(frozen_default=True) class Dataclass: ... [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [out] == main:8: error: Property "x" defined in "Foo" is read-only [case updateBaseClassToUseDataclassTransform] # flags: --python-version 3.11 from m import A class B(A): y: int B(x=1, y=2) [file m.py] class Dataclass: ... class A(Dataclass): x: int [file m.py.2] from typing import dataclass_transform @dataclass_transform() class Dataclass: ... class A(Dataclass): x: int [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] [out] main:7: error: Unexpected keyword argument "x" for "B" builtins.pyi:14: note: "B" defined here main:7: error: Unexpected keyword argument "y" for "B" == [case frozenInheritanceViaDefault] # flags: --python-version 3.11 from foo import Foo foo = Foo(base=0, foo=1) [file transform.py] from typing import dataclass_transform, Type @dataclass_transform(frozen_default=True) def dataclass(cls: Type) -> Type: return cls [file base.py] from transform import dataclass @dataclass class Base: base: int [file foo.py] from base import Base from transform import dataclass @dataclass class Foo(Base): foo: int [file foo.py.2] from base import Base from transform import dataclass @dataclass class Foo(Base): foo: int bar: int = 0 [typing fixtures/typing-full.pyi] [builtins fixtures/dataclasses.pyi] # If the frozen parameter is being maintained correctly, we *don't* expect to see issues; if it's # broken in incremental mode, then we'll see an error about inheriting a non-frozen class from a # frozen one. # # Ideally we'd also add a `foo.foo = 2` to confirm that frozen semantics are actually being # enforced, but incremental tests currently can't start with an error, which makes it tricky to # write such a test case. [out] == ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-dataclass.test0000644000175100017510000000071415112307767022314 0ustar00runnerrunner[case testReplace] [file model.py] from dataclasses import dataclass @dataclass class Model: x: int = 0 [file replace.py] from dataclasses import replace from model import Model m = Model() replace(m, x=42) [file model.py.2] from dataclasses import dataclass @dataclass class Model: x: str = 'hello' [builtins fixtures/dataclasses.pyi] [out] == replace.py:5: error: Argument "x" to "replace" of "Model" has incompatible type "int"; expected "str" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-follow-imports.test0000644000175100017510000003652115112307767023357 0ustar00runnerrunner-- Test cases for --follow-imports=normal in fine-grained incremental mode. -- -- Note that the implementation is mostly separate from normal incremental mode. [case testFollowImportsNormalBasic] # flags: --follow-imports=normal # cmd: mypy main.py a.py [file main.py] import a a.f() [file a.py] def f() -> None: pass [file a.py.2] def f(x: str) -> None: pass [file a.py.3] def f() -> None: pass [out] == main.py:2: error: Missing positional argument "x" in call to "f" == [case testFollowImportsNormalAddSuppressed] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a a.f() [file a.py.2] def f(x: str) -> None: pass [file a.py.3] def f() -> None: pass [out] main.py:1: error: Cannot find implementation or library stub for module named "a" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main.py:2: error: Missing positional argument "x" in call to "f" == [case testFollowImportsNormalAddSuppressed2] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a # type: ignore a.f() [file a.py.2] def f(x: str) -> None: pass [file a.py.3] def f() -> None: pass [out] == main.py:2: error: Missing positional argument "x" in call to "f" == [case testFollowImportsNormalAddSuppressed3] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a a.b.f() [file a.py.2] import b [file b.py.2] def f(x: str) -> None: pass [file b.py.3] def f() -> None: pass [out] main.py:1: error: Cannot find implementation or library stub for module named "a" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main.py:2: error: Missing positional argument "x" in call to "f" == [case testFollowImportsNormalEditingFileBringNewModule] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] [file main.py.2] import a a.f() [file a.py.2] def f(x: str) -> None: pass [file a.py.3] def f() -> None: pass [out] == main.py:2: error: Missing positional argument "x" in call to "f" == [case testFollowImportsNormalEditingFileBringNewModules] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] [file main.py.2] import a a.b.f() [file a.py.2] import b [file b.py.2] def f(x: str) -> None: pass [file b.py.3] def f() -> None: pass [out] == main.py:2: error: Missing positional argument "x" in call to "f" == [case testFollowImportsNormalDuringStartup] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a a.f() [file a.py] def f() -> None: pass [file a.py.2] def f(x: str) -> None: pass [out] == main.py:2: error: Missing positional argument "x" in call to "f" [case testFollowImportsNormalDuringStartup2] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a a.f() [file a.py] def f(x: str) -> None: pass [file a.py.2] def f() -> None: pass [out] main.py:2: error: Missing positional argument "x" in call to "f" == [case testFollowImportsNormalDuringStartup3] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a a.g() [file a.py] import b g = b.f [file b.py] def f(x: str) -> None: pass [file b.py.2] def f() -> None: pass [file a.py.3] g = 0 [out] main.py:2: error: Too few arguments == == main.py:2: error: "int" not callable [case testFollowImportsNormalDeleteFile1] # flags: --follow-imports=normal # cmd: mypy main.py a.py # cmd2: mypy main.py # cmd3: mypy main.py a.py [file main.py] import a a.f() [file a.py] def f() -> None: pass [delete a.py.2] [file a.py.3] def f(x: str) -> None: pass [out] == main.py:1: error: Cannot find implementation or library stub for module named "a" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main.py:2: error: Missing positional argument "x" in call to "f" [case testFollowImportsNormalDeleteFile2] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a a.f() [file a.py] def f() -> None: pass [delete a.py.2] [file a.py.3] def f(x: str) -> None: pass [out] == main.py:1: error: Cannot find implementation or library stub for module named "a" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main.py:2: error: Missing positional argument "x" in call to "f" [case testFollowImportsNormalDeleteFile3] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a # type: ignore a.f() [file a.py] def f() -> None: pass [delete a.py.2] [file a.py.3] def f(x: str) -> None: pass [out] == == main.py:2: error: Missing positional argument "x" in call to "f" [case testFollowImportsNormalDeleteFile4] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a [file a.py] 1() [file main.py.2] # don't import a [file main.py.3] import a [out] a.py:1: error: "int" not callable == == a.py:1: error: "int" not callable [case testFollowImportsNormalDeleteFile5] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a [file a.py] import b [file b.py] 1() [file a.py.2] # don't import b [file a.py.3] import b [out] b.py:1: error: "int" not callable == == b.py:1: error: "int" not callable [case testFollowImportsNormalDeleteFile6] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a [file a.py] import b [file b.py] 1() [delete a.py.2] [file a.py.3] import b [out] b.py:1: error: "int" not callable == main.py:1: error: Cannot find implementation or library stub for module named "a" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == b.py:1: error: "int" not callable [case testFollowImportsNormalDeleteFile7] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a [file a.py] import b from c import f [file b.py] from d import * [file c.py] import a def f(): pass 1() [file d.py] 1() [file main.py.2] [file main.py.3] import d [out] d.py:1: error: "int" not callable c.py:3: error: "int" not callable == == d.py:1: error: "int" not callable [case testFollowImportsNormalKeepAliveViaNewFile] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import a [file a.py] import b [file b.py] 1() [file a.py.2] import c [file c.py.2] import d [file d.py.2] import b [out] b.py:1: error: "int" not callable == b.py:1: error: "int" not callable [case testFollowImportsNormalPackage-only_when_nocache] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import p.m # type: ignore p.m.f() [file p/__init__.py.2] [file p/m.py.2] def f(x: str) -> None: pass 1() [file p/m.py.3] def f(x: str) -> None: pass [delete p.4] [out] == p/m.py:3: error: "int" not callable main.py:3: error: Missing positional argument "x" in call to "f" == main.py:3: error: Missing positional argument "x" in call to "f" == [case testFollowImportsNormalPackage2-only_when_cache] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import p.m # type: ignore p.m.f() [file p/__init__.py.2] [file p/m.py.2] def f(x: str) -> None: pass 1() [delete p.3] [out] == main.py:3: error: Missing positional argument "x" in call to "f" p/m.py:3: error: "int" not callable == [case testFollowImportsNormalPackageInitFile1] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import p1.m from p2 import m [file p1/__init__.py.2] 1() [file p1/m.py.2] [file p2/__init__.py.3] ''() [file p2/m.py.3] [out] main.py:1: error: Cannot find implementation or library stub for module named "p1.m" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main.py:1: error: Cannot find implementation or library stub for module named "p1" main.py:2: error: Cannot find implementation or library stub for module named "p2" == main.py:2: error: Cannot find implementation or library stub for module named "p2" main.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports p1/__init__.py:1: error: "int" not callable == p1/__init__.py:1: error: "int" not callable p2/__init__.py:1: error: "str" not callable [case testFollowImportsNormalPackageInitFile2] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] from p import m [file p/__init__.py.2] [file p/m.py.3] ''() [out] main.py:1: error: Cannot find implementation or library stub for module named "p" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main.py:1: error: Module "p" has no attribute "m" == p/m.py:1: error: "str" not callable [case testFollowImportsNormalPackageInitFile3] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import p1.s1.m from p2.s2 import m p1.s1.m.f() m.f(1) [file p1/__init__.py.2] [file p1/s1/__init__.py.2] [file p1/s1/m.py.2] def f(x: str) -> None: pass [file p2/__init__.py.3] [file p2/s2/__init__.py.3] [file p2/s2/m.py.3] def f() -> None: pass [out] main.py:1: error: Cannot find implementation or library stub for module named "p1.s1.m" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main.py:1: error: Cannot find implementation or library stub for module named "p1.s1" main.py:1: error: Cannot find implementation or library stub for module named "p1" main.py:2: error: Cannot find implementation or library stub for module named "p2.s2" == main.py:2: error: Cannot find implementation or library stub for module named "p2.s2" main.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main.py:3: error: Missing positional argument "x" in call to "f" == main.py:3: error: Missing positional argument "x" in call to "f" main.py:4: error: Too many arguments for "f" [case testFollowImportsNormalPackageInitFile4-only_when_cache] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import p1.m # type: ignore from p2 import m # type: ignore [file p1/__init__.py.2] 1() [file p1/m.py.2] ''() [file p2/__init__.py.3] ''() [file p2/m.py.3] [out] == p1/__init__.py:1: error: "int" not callable p1/m.py:1: error: "str" not callable == p1/__init__.py:1: error: "int" not callable p1/m.py:1: error: "str" not callable p2/__init__.py:1: error: "str" not callable [case testFollowImportsNormalSubmoduleCreatedWithImportInFunction] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] def f() -> None: from p import m [file p/__init__.py.2] 1() [file p/m.py.2] ''() [out] main.py:2: error: Cannot find implementation or library stub for module named "p" main.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == p/__init__.py:1: error: "int" not callable p/m.py:1: error: "str" not callable [case testFollowImportsNormalPackageInitFileStub] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] from p import m [file p/__init__.pyi.2] 1() [file p/m.pyi.2] ''() [file p/mm.pyi.3] x x x [out] main.py:1: error: Cannot find implementation or library stub for module named "p" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == p/__init__.pyi:1: error: "int" not callable p/m.pyi:1: error: "str" not callable == p/__init__.pyi:1: error: "int" not callable p/m.pyi:1: error: "str" not callable [case testFollowImportsNormalNamespacePackages] # flags: --follow-imports=normal --namespace-packages # cmd: mypy main.py [file main.py] import p1.m1 import p2.m2 [file p1/m1.py] 1() [file p2/m2.py.2] ''() [delete p2/m2.py.3] [out] p1/m1.py:1: error: "int" not callable main.py:2: error: Cannot find implementation or library stub for module named "p2.m2" main.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main.py:2: error: Cannot find implementation or library stub for module named "p2" == p1/m1.py:1: error: "int" not callable p2/m2.py:1: error: "str" not callable == p1/m1.py:1: error: "int" not callable main.py:2: error: Cannot find implementation or library stub for module named "p2.m2" main.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testFollowImportsNormalNewFileOnCommandLine] # flags: --follow-imports=normal # cmd: mypy main.py # cmd2: mypy main.py x.py [file main.py] 1() [file x.py.2] ''() [out] main.py:1: error: "int" not callable == main.py:1: error: "int" not callable x.py:1: error: "str" not callable [case testFollowImportsNormalSearchPathUpdate-only_when_nocache] # flags: --follow-imports=normal # cmd: mypy main.py # cmd2: mypy main.py src/foo.py [file main.py] [file src/foo.py.2] import bar ''() [file src/bar.py.2] 1() [out] == src/foo.py:2: error: "str" not callable src/bar.py:1: error: "int" not callable [case testFollowImportsNormalSearchPathUpdate2-only_when_cache] # flags: --follow-imports=normal # cmd: mypy main.py # cmd2: mypy main.py src/foo.py [file main.py] [file src/foo.py.2] import bar ''() [file src/bar.py.2] 1() [out] == src/foo.py:2: error: "str" not callable src/bar.py:1: error: "int" not callable [case testFollowImportsNormalSuppressedAffectsCachedFile-only_when_cache] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] from p import m # type: ignore m.f(1) [file p/__init__.py] [file p/m.py.2] # This change will trigger a cached file (main.py) through a suppressed # submodule, resulting in additional errors in main.py. def f() -> None: pass [out] == main.py:2: error: Too many arguments for "f" [case testFollowImportsNormalMultipleImportedModulesSpecialCase] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import pkg [file pkg/__init__.py.2] from . import mod1 [file pkg/mod1.py.2] from . import mod2 [file pkg/mod2.py.2] [out] main.py:1: error: Cannot find implementation or library stub for module named "pkg" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == [case testFollowImportsNormalDeletePackage] # flags: --follow-imports=normal # cmd: mypy main.py [file main.py] import pkg [file pkg/__init__.py] from . import mod [file pkg/mod.py] from . import mod2 import pkg2 [file pkg/mod2.py] from . import mod2 import pkg2 [file pkg2/__init__.py] from . import mod3 [file pkg2/mod3.py] [delete pkg/.2] [delete pkg2/.2] [out] == main.py:1: error: Cannot find implementation or library stub for module named "pkg" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testNewImportCycleTypeVarBound] # flags: --follow-imports=normal # cmd: mypy main.py # cmd2: mypy other.py [file main.py] # empty [file other.py.2] import trio [file trio/__init__.py.2] from typing import TypeVar import trio from . import abc as abc T = TypeVar("T", bound=trio.abc.A) [file trio/abc.py.2] import trio class A: ... [out] == [case testNewImportCycleTupleBase] # flags: --follow-imports=normal # cmd: mypy main.py # cmd2: mypy other.py [file main.py] # empty [file other.py.2] import trio [file trio/__init__.py.2] from typing import TypeVar, Tuple import trio from . import abc as abc class C(Tuple[trio.abc.A, trio.abc.A]): ... [file trio/abc.py.2] import trio class A: ... [builtins fixtures/tuple.pyi] [out] == [case testNewImportCycleTypedDict] # flags: --follow-imports=normal # cmd: mypy main.py # cmd2: mypy other.py [file main.py] # empty [file other.py.2] import trio [file trio/__init__.py.2] from typing import TypedDict, TypeVar import trio from . import abc as abc class C(TypedDict): x: trio.abc.A y: trio.abc.A [file trio/abc.py.2] import trio class A: ... [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-inspect.test0000644000175100017510000001253315112307767022024 0ustar00runnerrunner[case testInspectTypeBasic] # inspect2: --include-kind tmp/foo.py:10:13 # inspect2: --show=type --include-kind tmp/foo.py:10:13 # inspect2: --include-span -vv tmp/foo.py:12:5 # inspect2: --include-span --include-kind tmp/foo.py:12:5:12:9 import foo [file foo.py] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): def __init__(self, x: T) -> None: ... x: T def foo(arg: C[T]) -> T: return arg.x foo(C(42)) [out] == NameExpr -> "C[T]" MemberExpr -> "T" NameExpr -> "C[T]" MemberExpr -> "T" 12:5:12:5 -> "type[foo.C[builtins.int]]" 12:5:12:9 -> "foo.C[builtins.int]" 12:1:12:10 -> "builtins.int" CallExpr:12:5:12:9 -> "C[int]" [case testInspectAttrsBasic] # inspect2: --show=attrs tmp/foo.py:6:1 # inspect2: --show=attrs tmp/foo.py:7:1 # inspect2: --show=attrs tmp/foo.py:10:1 # inspect2: --show=attrs --include-object-attrs tmp/foo.py:10:1 import foo [file foo.py] from bar import Meta class C(metaclass=Meta): x: int def meth(self) -> None: ... c: C C def foo() -> int: ... foo [file bar.py] class Meta(type): y: int [out] == {"C": ["meth", "x"]} {"C": ["meth", "x"], "Meta": ["y"], "type": ["__init__"]} {"function": ["__name__"]} {"function": ["__name__"], "object": ["__init__"]} [case testInspectDefBasic] # inspect2: --show=definition tmp/foo.py:5:5 # inspect2: --show=definition --include-kind tmp/foo.py:6:3 # inspect2: --show=definition --include-span tmp/foo.py:7:5 # inspect2: --show=definition tmp/foo.py:8:1:8:4 # inspect2: --show=definition tmp/foo.py:8:6:8:8 # inspect2: --show=definition tmp/foo.py:9:3 import foo [file foo.py] from bar import var, test, A from baz import foo a: A a.meth() a.x A.B.y test(var) foo [file bar.py] class A: x: int @classmethod def meth(cls) -> None: ... class B: y: int var = 42 def test(x: int) -> None: ... [file baz.py] from typing import overload, Union @overload def foo(x: int) -> None: ... @overload def foo(x: str) -> None: ... def foo(x: Union[int, str]) -> None: pass [builtins fixtures/classmethod.pyi] [out] == tmp/bar.py:4:0:meth MemberExpr -> tmp/bar.py:2:5:x 7:1:7:5 -> tmp/bar.py:6:9:y tmp/bar.py:9:1:test tmp/bar.py:8:1:var tmp/baz.py:3:2:foo [case testInspectFallbackAttributes] # inspect2: --show=attrs --include-object-attrs tmp/foo.py:5:1 # inspect2: --show=attrs tmp/foo.py:8:1 # inspect2: --show=attrs --include-kind tmp/foo.py:10:1 # inspect2: --show=attrs --include-kind --include-object-attrs tmp/foo.py:10:1 import foo [file foo.py] class B: ... class C(B): x: int c: C c # line 5 t = 42, "foo" t # line 8 None [builtins fixtures/args.pyi] [out] == {"C": ["x"], "object": ["__eq__", "__init__", "__ne__"]} {"Iterable": ["__iter__"]} NameExpr -> {} NameExpr -> {"object": ["__eq__", "__init__", "__ne__"]} [case testInspectTypeVarBoundAttrs] # inspect2: --show=attrs tmp/foo.py:8:13 import foo [file foo.py] from typing import TypeVar class C: x: int T = TypeVar('T', bound=C) def foo(arg: T) -> T: return arg [out] == {"C": ["x"]} [case testInspectTypeVarValuesAttrs] # inspect2: --show=attrs --force-reload tmp/foo.py:13:13 # inspect2: --show=attrs --force-reload --union-attrs tmp/foo.py:13:13 # inspect2: --show=attrs tmp/foo.py:16:5 # inspect2: --show=attrs --union-attrs tmp/foo.py:16:5 import foo [file foo.py] from typing import TypeVar, Generic class A: x: int z: int class B: y: int z: int T = TypeVar('T', A, B) def foo(arg: T) -> T: return arg class C(Generic[T]): x: T [out] == {"A": ["z"], "B": ["z"]} {"A": ["x", "z"], "B": ["y", "z"]} {"A": ["z"], "B": ["z"]} {"A": ["x", "z"], "B": ["y", "z"]} [case testInspectTypeVarBoundDef] # inspect2: --show=definition tmp/foo.py:9:13 # inspect2: --show=definition tmp/foo.py:8:9 import foo [file foo.py] from typing import TypeVar class C: x: int T = TypeVar('T', bound=C) def foo(arg: T) -> T: arg.x return arg [out] == tmp/foo.py:7:9:arg tmp/foo.py:4:5:x [case testInspectTypeVarValuesDef] # inspect2: --show=definition --force-reload tmp/foo.py:13:9 # inspect2: --show=definition --force-reload tmp/foo.py:14:13 # inspect2: --show=definition tmp/foo.py:18:7 import foo [file foo.py] from typing import TypeVar, Generic class A: x: int z: int class B: y: int z: int T = TypeVar('T', A, B) def foo(arg: T) -> T: arg.z return arg class C(Generic[T]): x: T x.z [out] == tmp/foo.py:5:5:z, tmp/foo.py:9:5:z tmp/foo.py:12:9:arg tmp/foo.py:5:5:z, tmp/foo.py:9:5:z [case testInspectModuleAttrs] # inspect2: --show=attrs tmp/foo.py:2:1 import foo [file foo.py] from pack import bar bar [file pack/__init__.py] [file pack/bar.py] x: int def bar() -> None: ... class C: ... [builtins fixtures/module.pyi] [out] == {"": ["C", "__annotations__", "__doc__", "__file__", "__name__", "__package__", "__spec__", "bar", "x"], "ModuleType": ["__file__", "__getattr__"]} [case testInspectModuleDef] # inspect2: --show=definition --include-kind tmp/foo.py:2:1 import foo [file foo.py] from pack import bar bar.x [file pack/__init__.py] [file pack/bar.py] pass if True: x: int [out] == NameExpr -> tmp/pack/bar.py:1:1:bar MemberExpr -> tmp/pack/bar.py:3:5:x [case testInspectFunctionArgDef] # inspect2: --show=definition --include-span tmp/foo.py:4:13 # TODO: for now all arguments have line/column set to function definition. import foo [file foo.py] def foo(arg: int) -> int: pass pass return arg [out] == 4:12:4:14 -> tmp/foo.py:1:9:arg ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-modules.test0000644000175100017510000013574515112307767022042 0ustar00runnerrunner-- Test cases for fine-grained incremental mode related to modules -- -- Covers adding and deleting modules, changes to multiple modules, -- changes to import graph, and changes to module references. -- -- The comments in fine-grained.test explain how these tests work. -- Add file -- -------- [case testAddFile] import b [file b.py] [file a.py.2] def f() -> None: pass [file b.py.3] import a a.f(1) [out] == == b.py:2: error: Too many arguments for "f" [case testAddFileWithErrors] import b [file b.py] [file a.py.2] def f() -> str: return 1 [file b.py.3] import a a.f(1) [file a.py.4] def f(x: int) -> None: pass [out] == a.py:2: error: Incompatible return value type (got "int", expected "str") == a.py:2: error: Incompatible return value type (got "int", expected "str") b.py:2: error: Too many arguments for "f" == [case testAddFileFixesError] import b [file b.py] [file b.py.2] from a import f f() [file a.py.3] def f() -> None: pass [out] == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == [case testAddFileFixesAndGeneratesError1] import b [file b.py] [file b.py.2] from a import f [file b.py.3] from a import f f(1) [file a.py.4] def f() -> None: pass [out] == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == b.py:2: error: Too many arguments for "f" [case testAddFileFixesAndGeneratesError2] import b [file b.py] [file b.py.2] from a import f f(1) [file c.py.3] x = 'whatever' [file a.py.4] def f() -> None: pass [out] == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == b.py:2: error: Too many arguments for "f" [case testAddFileGeneratesError1] # flags: --ignore-missing-imports import a [file a.py] from b import f f(1) [file b.py.2] def f() -> None: pass [out] == a.py:2: error: Too many arguments for "f" [case testAddFilePreservesError1] import b [file b.py] [file b.py.2] from a import f f(1) [file x.py.3] # unrelated change [out] == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == b.py:1: error: Cannot find implementation or library stub for module named "a" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testAddFilePreservesError2] import b [file b.py] f() [file a.py.2] [out] b.py:1: error: Name "f" is not defined == b.py:1: error: Name "f" is not defined [case testRemoveSubmoduleFromBuild1] # cmd1: mypy a.py b/__init__.py b/c.py # cmd2: mypy a.py b/__init__.py # flags: --follow-imports=skip --ignore-missing-imports [file a.py] from b import c x=1 [file a.py.2] from b import c x=2 [file a.py.3] from b import c x=3 [file b/__init__.py] [file b/c.py] [out] == == [case testImportLineNumber1] import b [file b.py] [file b.py.2] x = 1 import a [out] == b.py:2: error: Cannot find implementation or library stub for module named "a" b.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testImportLineNumber2] import b [file b.py] [file b.py.2] x = 1 import a from c import f [file x.py.3] [out] == b.py:2: error: Cannot find implementation or library stub for module named "a" b.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports b.py:3: error: Cannot find implementation or library stub for module named "c" == b.py:2: error: Cannot find implementation or library stub for module named "a" b.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports b.py:3: error: Cannot find implementation or library stub for module named "c" [case testAddPackage1] import p.a p.a.f(1) [file p/__init__.py.2] [file p/a.py.2] def f(x: str) -> None: pass [out] main:1: error: Cannot find implementation or library stub for module named "p.a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "p" == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddPackage2] import p p.f(1) [file p/__init__.py.2] from p.a import f [file p/a.py.2] def f(x: str) -> None: pass [out] main:1: error: Cannot find implementation or library stub for module named "p" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddPackage3] import p.a p.a.f(1) [file p/__init__.py.2] [file p/a.py.3] def f(x: str) -> None: pass [out] main:1: error: Cannot find implementation or library stub for module named "p.a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "p" == main:1: error: Cannot find implementation or library stub for module named "p.a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [builtins fixtures/module.pyi] [case testAddPackage4] import p.a p.a.f(1) [file p/a.py.2] def f(x: str) -> None: pass [file p/__init__.py.3] [out] main:1: error: Cannot find implementation or library stub for module named "p.a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "p" == main:1: error: Cannot find implementation or library stub for module named "p.a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "p" == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddNonPackageSubdir] # cmd: mypy x.py # cmd2: mypy x.py foo/a.py foo/b.py [file x.py] [file foo/a.py.2] import b b.foo(5) [file foo/b.py.2] def foo(x: str) -> None: pass [out] == foo/a.py:2: error: Argument 1 to "foo" has incompatible type "int"; expected "str" [case testAddPackage5] # cmd: mypy main p/a.py # cmd2: mypy main p/a.py # cmd3: mypy main p/a.py p/__init__.py import p.a p.a.f(1) [file p/a.py] [file p/a.py.2] def f(x: str) -> None: pass [file p/__init__.py.3] [out] main:4: error: Cannot find implementation or library stub for module named "p.a" main:4: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:4: error: Cannot find implementation or library stub for module named "p" == main:4: error: Cannot find implementation or library stub for module named "p.a" main:4: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:4: error: Cannot find implementation or library stub for module named "p" == main:5: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddPackage6] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy x.py # cmd2: mypy x.py p/a.py [file x.py] import p.a p.a.f(1) [file p/a.py.2] def f(x: str) -> None: pass [file p/__init__.py.2] [out] == -- It is a bug (#4797) that this isn't an error, but not a fine-grained specific one [case testAddPackage7] # flags: --follow-imports=skip # cmd: mypy x.py # cmd2: mypy x.py p/a.py [file x.py] from p.a import f f(1) [file p/a.py.2] def f(x: str) -> None: pass [file p/__init__.py.2] [out] x.py:1: error: Cannot find implementation or library stub for module named "p.a" x.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == x.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testAddPackage8] # cmd: mypy x.py p/a.py # cmd2: mypy x.py p/a.py p/__init__.py # cmd3: mypy x.py p/a.py p/__init__.py [file x.py] [file p/a.py] 1+'hi' [file p/__init__.py.2] [file p/a.py.3] 1+3 [out] p/a.py:1: error: Unsupported operand types for + ("int" and "str") == p/a.py:1: error: Unsupported operand types for + ("int" and "str") == -- Delete file -- ----------- [case testDeleteBasic] import a [file a.py] import b [file b.py] def f() -> None: pass [file a.py.2] [delete b.py.3] [out] == == [case testDeleteDepOfDunderInit1] [file p/__init__.py] from .foo import Foo [file p/foo.py] class Foo: pass [file p/__init__.py.2] [delete p/foo.py.2] [out] == [case testDeleteDepOfDunderInit2] [file p/__init__.py] from p.foo import Foo [file p/foo.py] class Foo: pass [file p/__init__.py.2] [delete p/foo.py.2] [out] == [case testDeletionTriggersImportFrom] import a [file a.py] from b import f def g() -> None: f() [file b.py] def f() -> None: pass [delete b.py.2] [file b.py.3] def f(x: int) -> None: pass [out] == a.py:1: error: Cannot find implementation or library stub for module named "b" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == a.py:4: error: Missing positional argument "x" in call to "f" [case testDeletionTriggersImport] import a [file a.py] def f() -> None: pass [delete a.py.2] [file a.py.3] def f() -> None: pass [out] == main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == [case testDeletionOfSubmoduleTriggersImportFrom1-only_when_nocache] -- Different cache/no-cache tests because: -- missing module error message mismatch from p import q [file p/__init__.py] [file p/q.py] [delete p/q.py.2] [file p/q.py.3] [out] == main:1: error: Module "p" has no attribute "q" -- TODO: The following messages are different compared to non-incremental mode main:1: error: Cannot find implementation or library stub for module named "p.q" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == -- TODO: Fix this bug. It is a real bug that was been papered over -- by the test harness. [case testDeletionOfSubmoduleTriggersImportFrom1_2-only_when_cache-skip] -- Different cache/no-cache tests because: -- missing module error message mismatch from p import q [file p/__init__.py] [file p/q.py] [delete p/q.py.2] [file p/q.py.3] [out] == main:1: error: Cannot find implementation or library stub for module named "p.q" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == [case testDeletionOfSubmoduleTriggersImportFrom2] from p.q import f f() [file p/__init__.py] [file p/q.py] def f() -> None: pass [delete p/q.py.2] [file p/q.py.3] def f(x: int) -> None: pass [out] == main:1: error: Cannot find implementation or library stub for module named "p.q" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main:2: error: Missing positional argument "x" in call to "f" [case testDeletionOfSubmoduleTriggersImport] import p.q [file p/__init__.py] [file p/q.py] def f() -> None: pass [delete p/q.py.2] [file p/q.py.3] def f(x: int) -> None: pass [out] == main:1: error: Cannot find implementation or library stub for module named "p.q" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == [case testDeleteSubpackageWithNontrivialParent1] [file p/__init__.py] def g() -> None: pass [file p/b.py.2] def foo() -> None: pass foo() [delete p/b.py.3] [out] == == [case testDeleteModuleWithError] import a [file a.py] def f() -> int: return 1 [file a.py.2] def f() -> str: return 1 [delete a.py.3] def f() -> str: return 1 [out] == a.py:2: error: Incompatible return value type (got "int", expected "str") == main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testDeleteModuleWithErrorInsidePackage] import a.b [file a/__init__.py] [file a/b.py] def f() -> int: return '' [delete a/b.py.2] def f() -> str: return 1 [out] a/b.py:2: error: Incompatible return value type (got "str", expected "int") == main:1: error: Cannot find implementation or library stub for module named "a.b" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testModifyTwoFilesNoError1] import a [file a.py] import b b.f() [file b.py] def f() -> None: pass [file a.py.2] import b b.f(1) [file b.py.2] def f(x: int) -> None: pass [out] == [case testDeleteSubpackageInit1] # cmd: mypy q/r/s.py # flags: --follow-imports=skip --ignore-missing-imports [file q/__init__.py] [file q/r/__init__.py] [file q/r/s.py] [delete q/__init__.py.2] [out] == [case testAddSubpackageInit2] # cmd: mypy q/r/s.py # flags: --follow-imports=skip --ignore-missing-imports [file q/r/__init__.py] [file q/r/s.py] 1 [file q/r/s.py.2] 2 [file q/__init__.py.2] [out] == [case testModifyTwoFilesNoError2] import a [file a.py] from b import g def f() -> None: pass [file b.py] import a def g() -> None: pass a.f() [file a.py.2] from b import g def f(x: int) -> None: pass [file b.py.2] import a def g() -> None: pass a.f(1) [out] == [case testModifyTwoFilesErrorsElsewhere] import a import b a.f() b.g(1) [file a.py] def f() -> None: pass [file b.py] def g(x: int) -> None: pass [file a.py.2] def f(x: int) -> None: pass [file b.py.2] def g() -> None: pass [out] == main:3: error: Missing positional argument "x" in call to "f" main:4: error: Too many arguments for "g" [case testModifyTwoFilesErrorsInBoth] import a [file a.py] import b def f() -> None: pass b.g(1) [file b.py] import a def g(x: int) -> None: pass a.f() [file a.py.2] import b def f(x: int) -> None: pass b.g(1) [file b.py.2] import a def g() -> None: pass a.f() [out] == b.py:3: error: Missing positional argument "x" in call to "f" a.py:3: error: Too many arguments for "g" [case testModifyTwoFilesFixErrorsInBoth] import a [file a.py] import b def f(x: int) -> None: pass b.g(1) [file b.py] import a def g() -> None: pass a.f() [file a.py.2] import b def f() -> None: pass b.g(1) [file b.py.2] import a def g(x: int) -> None: pass a.f() [out] b.py:3: error: Missing positional argument "x" in call to "f" a.py:3: error: Too many arguments for "g" == [case testAddTwoFilesNoError] import a [file a.py] import b import c b.f() c.g() [file b.py.2] import c def f() -> None: pass c.g() [file c.py.2] import b def g() -> None: pass b.f() [out] a.py:1: error: Cannot find implementation or library stub for module named "b" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports a.py:2: error: Cannot find implementation or library stub for module named "c" == [case testAddTwoFilesErrorsInBoth] import a [file a.py] import b import c b.f() c.g() [file b.py.2] import c def f() -> None: pass c.g(1) [file c.py.2] import b def g() -> None: pass b.f(1) [out] a.py:1: error: Cannot find implementation or library stub for module named "b" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports a.py:2: error: Cannot find implementation or library stub for module named "c" == c.py:3: error: Too many arguments for "f" b.py:3: error: Too many arguments for "g" [case testAddTwoFilesErrorsElsewhere] import a import b a.f(1) b.g(1) [file a.py.2] def f() -> None: pass [file b.py.2] def g() -> None: pass [out] main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Cannot find implementation or library stub for module named "b" == main:3: error: Too many arguments for "f" main:4: error: Too many arguments for "g" [case testDeleteTwoFilesErrorsElsewhere] import a import b a.f() b.g() [file a.py] def f() -> None: pass [file b.py] def g() -> None: pass [delete a.py.2] [delete b.py.2] [out] == main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Cannot find implementation or library stub for module named "b" [case testDeleteTwoFilesNoErrors] import a [file a.py] import b import c b.f() c.g() [file b.py] def f() -> None: pass [file c.py] def g() -> None: pass [file a.py.2] [delete b.py.3] [delete c.py.3] [out] == == [case testDeleteTwoFilesFixErrors] import a import b a.f() b.g() [file a.py] import b def f() -> None: pass b.g(1) [file b.py] import a def g() -> None: pass a.f(1) [delete a.py.2] [delete b.py.2] [out] b.py:3: error: Too many arguments for "f" a.py:3: error: Too many arguments for "g" == main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Cannot find implementation or library stub for module named "b" [case testAddFileWhichImportsLibModule] import a a.x = 0 [file a.py.2] import sys x = sys.platform [builtins fixtures/tuple.pyi] [out] main:1: error: Cannot find implementation or library stub for module named "a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main:2: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAddFileWhichImportsLibModuleWithErrors] # flags: --no-silence-site-packages import a a.x = 0 [file a.py.2] import broken x = broken.x z [out] main:2: error: Cannot find implementation or library stub for module named "a" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == a.py:3: error: Name "z" is not defined /test-data/unit/lib-stub/broken.pyi:2: error: Name "y" is not defined [case testRenameModule] import a [file a.py] import b b.f() [file b.py] def f() -> None: pass [file a.py.2] import c c.f() [file c.py.2] def f() -> None: pass [file a.py.3] import c c.f(1) [out] == == a.py:2: error: Too many arguments for "f" [case testDeleteFileWSuperClass] # flags: --ignore-missing-imports [file a.py] from c import Bar from b import Foo z = (1, Foo()) [file b.py] from e import Quux from d import Baz class Foo(Baz, Quux): pass [file e.py] from c import Bar class Quux(Bar): pass [file c.py] class Bar: pass [file d.py] class Baz: pass [delete c.py.2] [builtins fixtures/tuple.pyi] [out] == [case testDeleteFileWithinPackage] import a [file a.py] import m.x m.x.g(1) [file m/__init__.py] [file m/x.py] def g() -> None: pass [delete m/x.py.2] [builtins fixtures/module.pyi] [out] a.py:2: error: Too many arguments for "g" == a.py:1: error: Cannot find implementation or library stub for module named "m.x" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports a.py:2: error: Module has no attribute "x" [case testDeletePackage1] import p.a p.a.f(1) [file p/__init__.py] [file p/a.py] def f(x: str) -> None: pass [delete p.2] [out] main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" == main:1: error: Cannot find implementation or library stub for module named "p.a" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:1: error: Cannot find implementation or library stub for module named "p" [case testDeletePackage2] import p p.f(1) [file p/__init__.py] from p.a import f [file p/a.py] def f(x: str) -> None: pass [delete p.2] [out] main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" == main:1: error: Cannot find implementation or library stub for module named "p" main:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testDeletePackage3] import p.a p.a.f(1) [file p/__init__.py] [file p/a.py] def f(x: str) -> None: pass [delete p/a.py.2] [delete p.3] [builtins fixtures/module.pyi] [out] main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" == main:2: error: Cannot find implementation or library stub for module named "p.a" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:3: error: Module has no attribute "a" == main:2: error: Cannot find implementation or library stub for module named "p.a" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Cannot find implementation or library stub for module named "p" [case testDeletePackage4] # flags: --no-namespace-packages import p.a p.a.f(1) [file p/a.py] def f(x: str) -> None: pass [file p/__init__.py] [delete p/__init__.py.2] [delete p.3] [out] main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" == main:2: error: Cannot find implementation or library stub for module named "p.a" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Cannot find implementation or library stub for module named "p" == main:2: error: Cannot find implementation or library stub for module named "p.a" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Cannot find implementation or library stub for module named "p" [case testDeletePackage5] # flags: --no-namespace-packages # cmd1: mypy -m main -m p.a -m p.__init__ # cmd2: mypy -m main -m p.a # cmd3: mypy -m main import p.a p.a.f(1) [file p/a.py] def f(x: str) -> None: pass [file p/__init__.py] [delete p/__init__.py.2] [delete p.3] [out] main:7: error: Argument 1 to "f" has incompatible type "int"; expected "str" == main:6: error: Cannot find implementation or library stub for module named "p.a" main:6: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:6: error: Cannot find implementation or library stub for module named "p" == main:6: error: Cannot find implementation or library stub for module named "p.a" main:6: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:6: error: Cannot find implementation or library stub for module named "p" [case testDeletePackage6] # flags: --no-namespace-packages # cmd1: mypy -m p.a -m p.b -m p.__init__ # cmd2: mypy -m p.a -m p.b # cmd3: mypy -m p.a -m p.b [file p/a.py] def f(x: str) -> None: pass [file p/b.py] from p.a import f f(12) [file p/__init__.py] [delete p/__init__.py.2] [file p/b.py.3] from a import f f(12) [out] p/b.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" == p/b.py:1: error: Cannot find implementation or library stub for module named "p.a" p/b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == p/b.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" -- TODO: -- - add one file which imports another new file, blocking error in new file -- - arbitrary blocking errors -- - order of processing makes a difference -- - mix of modify, add and delete in one iteration -- Controlling imports using command line options -- ---------------------------------------------- [case testIgnoreMissingImports] # flags: --ignore-missing-imports import a [file a.py] import b import c [file c.py] [delete c.py.2] [file b.py.3] import d 1 + '' [out] == == b.py:2: error: Unsupported operand types for + ("int" and "str") [case testSkipImports] # cmd: mypy main a.py # flags: --follow-imports=skip --ignore-missing-imports import a [file a.py] import b [file b.py] 1 + '' class A: pass [file a.py.2] import b reveal_type(b) reveal_type(b.A) [file a.py.3] import b reveal_type(b) reveal_type(b.A) [file b.py.3] 1 + '' class A: pass [out] == a.py:2: note: Revealed type is "Any" a.py:3: note: Revealed type is "Any" == a.py:2: note: Revealed type is "Any" a.py:3: note: Revealed type is "Any" [case testSkipImportsWithinPackage] # cmd: mypy a/b.py # flags: --follow-imports=skip --ignore-missing-imports [file a/__init__.py] 1 + '' [file a/b.py] import a.c [file a/b.py.2] import a.c import x reveal_type(a.c) [file a/b.py.3] import a.c import x 1 + '' [out] == a/b.py:3: note: Revealed type is "Any" == a/b.py:3: error: Unsupported operand types for + ("int" and "str") [case testDeleteModuleWithinPackageInitIgnored-only_when_nocache] -- Disabled in cache mode because incorrect behavior: -- Having deleted files specified on command line seems dodgy, though. # cmd: mypy x.py a/b.py # flags: --follow-imports=skip --ignore-missing-imports [file x.py] import a.b [file a/__init__.py] [file a/b.py] x = 1 [delete a/b.py.2] [out] == [case testAddImport] import what.b [file aaa/__init__.py] [file aaa/z.py] def foo(x: int) -> None: pass [file aaa/z.py.2] import config def foo() -> None: pass [file what/__init__.py] [file what/b.py] import config import aaa.z def main() -> None: aaa.z.foo(5) [file what/b.py.2] import aaa.z def main() -> None: aaa.z.foo() [file config.py] [out] == [case testAddImport2] import what.b [file aaa/__init__.py] [file aaa/z.py] def foo(x: int) -> None: pass [file aaa/z.py.2] def foo() -> None: pass [file what/__init__.py] [file what/b.py] import aaa.z def main() -> None: aaa.z.foo(5) [file what/b.py.2] import config import aaa.z def main() -> None: aaa.z.foo() [file config.py] [out] == -- Misc -- ---- [case testChangeModuleToVariable] from a import m m.x [file a.py] from b import m [file b.py] import m [file b.py.2] m = '' [file m.py] x = 1 [file m2.py] [out] == main:2: error: "str" has no attribute "x" [case testChangeVariableToModule] from a import m y: str = m [file a.py] from b import m [file b.py] m = '' [file b.py.2] import m [file m.py] x = 1 [file m2.py] [builtins fixtures/module.pyi] [out] == main:2: error: Incompatible types in assignment (expression has type Module, variable has type "str") [case testRefreshImportOfIgnoredModule1] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy c.py a/__init__.py b.py [file c.py] from a import a2 import b b.x [file a/__init__.py] [file b.py] x = 0 [file b.py.2] x = '' [file b.py.3] x = 0 [file a/a2.py] [out] == == [case testRefreshImportOfIgnoredModule2] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy c.py a/__init__.py b.py [file c.py] from a import a2 import b b.x [file a/__init__.py] [file b.py] x = 0 [file b.py.2] x = '' [file b.py.3] x = 0 [file a/a2/__init__.py] [out] == == [case testIncrementalWithIgnoresTwice] import a [file a.py] import b import foo # type: ignore [file b.py] x = 1 [file b.py.2] x = 'hi' [file b.py.3] x = 1 [out] == == [case testIgnoredImport2] import x [file y.py] import xyz # type: ignore B = 0 from x import A [file x.py] A = 0 from y import B [file x.py.2] A = 1 from y import B [file x.py.3] A = 2 from y import B [out] == == [case testDeleteIndirectDependency] import b b.x.foo() [file b.py] import c x = c.Foo() [file c.py] class Foo: def foo(self) -> None: pass [delete c.py.2] [file b.py.2] class Foo: def foo(self) -> None: pass x = Foo() [file b.py.3] class Foo: def foo(self, x: int) -> None: pass x = Foo() [out] == == main:2: error: Missing positional argument "x" in call to "foo" of "Foo" -- This series of tests is designed to test adding a new module that -- does not appear in the cache, for cache mode. They are run in -- cache mode only because stale and rechecked differ heavily between -- the modes. [case testAddModuleAfterCache1-only_when_cache] # cmd: mypy main a.py # cmd2: mypy main a.py b.py # cmd3: mypy main a.py b.py import a [file a.py] pass [file a.py.2] import b b.foo(0) [file b.py.2] def foo() -> None: pass [stale a, b] [rechecked a, b] [file b.py.3] def foo(x: int) -> None: pass [stale2 b] [rechecked2 b] [out] == a.py:2: error: Too many arguments for "foo" == [case testAddModuleAfterCache2-only_when_cache] # cmd: mypy main a.py # cmd2: mypy main a.py b.py # cmd3: mypy main a.py b.py # flags: --ignore-missing-imports --follow-imports=skip import a [file a.py] import b b.foo(0) [file b.py.2] def foo() -> None: pass [stale b] [rechecked a, b] [file b.py.3] def foo(x: int) -> None: pass [stale2 b] [out] == a.py:2: error: Too many arguments for "foo" == [case testAddModuleAfterCache3-only_when_cache] # cmd: mypy main a.py # cmd2: mypy main a.py b.py c.py d.py e.py f.py g.py h.py i.py j.py # cmd3: mypy main a.py b.py c.py d.py e.py f.py g.py h.py i.py j.py # flags: --ignore-missing-imports --follow-imports=skip import a [file a.py] import b, c, d, e, f, g, h, i, j b.foo(10) [file b.py.2] def foo() -> None: pass [file c.py.2] [file d.py.2] [file e.py.2] [file f.py.2] [file g.py.2] [file h.py.2] [file i.py.2] [file j.py.2] -- No files should be stale or reprocessed in the first step since the large number -- of missing files will force build to give up on cache loading. [stale] [file b.py.3] def foo(x: int) -> None: pass [stale2 b] [out] == a.py:2: error: Too many arguments for "foo" == [case testAddModuleAfterCache4-only_when_cache] # cmd: mypy main a.py # cmd2: mypy main a.py b.py # cmd3: mypy main a.py b.py # flags: --ignore-missing-imports --follow-imports=skip import a import b [file a.py] def foo() -> None: pass [file b.py.2] import a a.foo(10) [file a.py.3] def foo(x: int) -> None: pass [out] == b.py:2: error: Too many arguments for "foo" == [case testAddModuleAfterCache5-only_when_cache] # cmd: mypy main a.py # cmd2: mypy main a.py b.py # cmd3: mypy main a.py b.py # flags: --ignore-missing-imports --follow-imports=skip import a import b [file a.py] def foo(x: int) -> None: pass [file a.py.2] def foo() -> None: pass [file b.py.2] import a a.foo(10) [stale a, b] [file a.py.3] def foo(x: int) -> None: pass [stale2 a] [out] == b.py:2: error: Too many arguments for "foo" == [case testAddModuleAfterCache6-only_when_cache] # cmd: mypy main a.py # cmd2: mypy main a.py b.py # cmd3: mypy main a.py b.py # flags: --ignore-missing-imports --follow-imports=skip import a [file a.py] import b b.foo() [file a.py.2] import b b.foo(0) [file b.py.2] def foo() -> None: pass [stale a, b] [file b.py.3] def foo(x: int) -> None: pass [stale2 b] [out] == a.py:2: error: Too many arguments for "foo" == [case testRenameAndDeleteModuleAfterCache-only_when_cache] import a [file a.py] from b1 import f f() [file b1.py] def f() -> None: pass [file b2.py.2] def f() -> None: pass [delete b1.py.2] [file a.py.2] from b2 import f f() -- in cache mode, there is no way to know about b1 yet [stale a, b2] [out] == [case testDeleteModuleAfterCache-only_when_cache] import a [file a.py] from b import f f() [file b.py] def f() -> None: pass [delete b.py.2] -- in cache mode, there is no way to know about b yet, -- but a should get flagged as changed by the initial cache -- check, since one of its dependencies is missing. [stale a] [out] == a.py:1: error: Cannot find implementation or library stub for module named "b" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testRefreshImportIfMypyElse1] import a [file a.py] from b import foo MYPY = False if MYPY: x = 0 else: from fictional import x x = 1 [file b/__init__.py] [file b/foo.py] [file b/__init__.py.2] # Dummy change [builtins fixtures/primitives.pyi] [out] == [case testImportStarPropagateChange1] from b import f f() [file b.py] from c import * [file c.py] def f() -> None: pass [file c.py.2] def f(x: int) -> None: pass [out] == main:2: error: Missing positional argument "x" in call to "f" [case testImportStarPropagateChange2] from b import * f() [file b.py] def f() -> None: pass [file b.py.2] def f(x: int) -> None: pass [out] == main:2: error: Missing positional argument "x" in call to "f" [case testImportStarAddMissingDependency1] from b import f f() [file b.py] from c import * [file c.py] [file c.py.2] def f(x: int) -> None: pass [out] main:1: error: Module "b" has no attribute "f" == main:2: error: Missing positional argument "x" in call to "f" [case testImportStarAddMissingDependency2] from b import * f() [file b.py] [file b.py.2] def f(x: int) -> None: pass [out] main:2: error: Name "f" is not defined == main:2: error: Missing positional argument "x" in call to "f" [case testImportStarAddMissingDependencyWithinClass] class A: from b import * f() x: C [file b.py] [file b.py.2] def f(x: int) -> None: pass [file b.py.3] def f(x: int) -> None: pass class C: pass [file b.py.4] def f() -> None: pass class C: pass [out] main:3: error: Name "f" is not defined main:4: error: Name "C" is not defined == main:2: error: Unsupported class scoped import main:4: error: Name "C" is not defined == main:2: error: Unsupported class scoped import == main:2: error: Unsupported class scoped import [case testImportStarAddMissingDependencyInsidePackage1] from p.b import f f() [file p/__init__.py] [file p/b.py] from p.c import * [file p/c.py] [file p/c.py.2] def f(x: int) -> None: pass [out] main:1: error: Module "p.b" has no attribute "f" == main:2: error: Missing positional argument "x" in call to "f" [case testImportStarAddMissingDependencyInsidePackage2] import p.a [file p/__init__.py] [file p/a.py] from p.b import * f() [file p/b.py] [file p/b.py.2] def f(x: int) -> None: pass [out] p/a.py:2: error: Name "f" is not defined == p/a.py:2: error: Missing positional argument "x" in call to "f" [case testImportStarRemoveDependency1] from b import f f() [file b.py] from c import * [file c.py] def f() -> None: pass [file c.py.2] [out] == main:1: error: Module "b" has no attribute "f" [case testImportStarRemoveDependency2] from b import * f() [file b.py] def f() -> None: pass [file b.py.2] [out] == main:2: error: Name "f" is not defined [case testImportStarWithinFunction] def f() -> None: from m import * f() [file m.py] [file m.py.2] def f(x: int) -> None: pass [file m.py.3] def f() -> None: pass [out] == main:3: error: Missing positional argument "x" in call to "f" == [case testImportStarMutuallyRecursive-skip] # FIXME: busted with new analyzer? import a [file a.py] from b import * [file b.py] from a import * [file b.py.2] from a import * x = 0 [file b.py.3] from a import * x = '' [out] == == [case testImportStarSomethingMoved] import p [file p.py] from r2 import * [file r2.py] class A: pass [file p.py.2] from r1 import * from r2 import * [file r2.py.2] [file r1.py.2] class A: pass [out] == [case testImportStarOverlap] from b import * from c import * # type: ignore [file b.py] from d import T [file c.py] from d import T [file c.py.2] from d import T z = 10 [file d.py] from typing import TypeVar T = TypeVar('T') [out] == [case testImportStarOverlap2] from b import * import typing def foo(x: typing.List[int]) -> int: return x[0] [file b.py] import typing z = 10 [file b.py.2] import typing z = '10' [builtins fixtures/list.pyi] [out] == [case testImportStarOverlap3] from b import * from c import typing def foo(x: typing.List[int]) -> int: return x[0] [file b.py] import typing z = 10 [file b.py.2] import typing z = '10' [file c.py] import typing z = 10 [builtins fixtures/list.pyi] [out] == [case testImportPartialAssign] import a [file a.py] from c import * from b import A, x [file b.py] A = 10 x = 1 [file b.py.2] class A: pass x = 1 [file c.py] x = 10 [out] == [case testDeleteFileWithErrors] # cmd: mypy main a.py # cmd2: mypy main # flags: --follow-imports=skip --ignore-missing-imports import a [file a.py] def f() -> None: 1() ''() [file b.py.2] # unrelated change [out] a.py:2: error: "int" not callable a.py:3: error: "str" not callable == [case testAddAndUseClass1] [file a.py] [file a.py.2] from b import Foo def bar(f: Foo) -> None: f.foo(12) [file b.py.2] class Foo: def foo(self, s: str) -> None: pass [out] == a.py:3: error: Argument 1 to "foo" of "Foo" has incompatible type "int"; expected "str" [case testAddAndUseClass2] [file a.py] [file a.py.3] from b import Foo def bar(f: Foo) -> None: f.foo(12) [file b.py.2] class Foo: def foo(self, s: str) -> None: pass [out] == == a.py:3: error: Argument 1 to "foo" of "Foo" has incompatible type "int"; expected "str" [case testAddAndUseClass3] # flags: --ignore-missing-imports [file a.py] [file a.py.2] from b import Foo def bar(f: Foo) -> None: f.foo(12) [file b.py.3] class Foo: def foo(self, s: str) -> None: pass [out] == == a.py:3: error: Argument 1 to "foo" of "Foo" has incompatible type "int"; expected "str" [case testAddAndUseClass4] [file a.py] [file a.py.2] from b import * def bar(f: Foo) -> None: f.foo(12) [file b.py.2] class Foo: def foo(self, s: str) -> None: pass [out] == a.py:3: error: Argument 1 to "foo" of "Foo" has incompatible type "int"; expected "str" [case testAddAndUseClass4_2] [file a.py] [file a.py.2] from p.b import * def bar(f: Foo) -> None: f.foo(12) [file p/__init__.py] [file p/b.py.2] class Foo: def foo(self, s: str) -> None: pass [out] == a.py:3: error: Argument 1 to "foo" of "Foo" has incompatible type "int"; expected "str" [case testAddAndUseClass5] [file a.py] [file a.py.2] from b import * def bar(f: Foo) -> None: f.foo(12) [file b.py.2] class Foo: def foo(self, s: str) -> None: pass [out] == a.py:3: error: Argument 1 to "foo" of "Foo" has incompatible type "int"; expected "str" [case testSkipButDontIgnore1] # cmd: mypy a.py c.py # flags: --follow-imports=skip [file a.py] import b from c import x [file b.py] 1+'lol' [file c.py] x = 1 [file c.py.2] x = '2' [file b.py.3] [out] == == [case testSkipButDontIgnore2] # cmd: mypy a.py c.py # flags: --follow-imports=skip [file a.py] from c import x import b [file b.py] [file c.py] x = 1 [file b.py.2] 1+'x' [file c.py.2] x = '2' [file c.py.3] x = 2 [delete b.py.3] [out] == == a.py:2: error: Cannot find implementation or library stub for module named "b" a.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testErrorButDontIgnore1] # cmd: mypy a.py c.py # flags: --follow-imports=error [file a.py] from c import x import b [file b.py] [file c.py] x = 1 [file c.py.2] x = '2' [out] a.py:2: error: Import of "b" ignored a.py:2: note: (Using --follow-imports=error, module not passed on command line) == a.py:2: error: Import of "b" ignored a.py:2: note: (Using --follow-imports=error, module not passed on command line) [case testErrorButDontIgnore2] # cmd1: mypy a.py c.py b.py # cmd2: mypy a.py c.py # flags: --follow-imports=error [file a.py] from c import x import b [file b.py] [file c.py] x = 1 [file c.py.2] x = '2' [out] == a.py:2: error: Import of "b" ignored a.py:2: note: (Using --follow-imports=error, module not passed on command line) -- TODO: This test fails because p.b does not depend on p (#4847) [case testErrorButDontIgnore3-skip] # cmd1: mypy a.py c.py p/b.py p/__init__.py # cmd2: mypy a.py c.py p/b.py # flags: --follow-imports=error [file a.py] from c import x from p.b import y [file p/b.py] y = 12 [file p/__init__.py] [file c.py] x = 1 [file c.py.2] x = '2' [out] == p/b.py: error: Ancestor package "p" ignored p/b.py: note: (Using --follow-imports=error, submodule passed on command line) [case testErrorButDontIgnore4] # cmd: mypy a.py z.py p/b.py p/__init__.py # cmd2: mypy a.py p/b.py # flags: --follow-imports=error [file a.py] from p.b import y [file p/b.py] from z import x y = 12 [file p/__init__.py] [file z.py] x = 1 [delete z.py.2] [out] == p/b.py: error: Ancestor package "p" ignored p/b.py: note: (Using --follow-imports=error, submodule passed on command line) p/b.py:1: error: Cannot find implementation or library stub for module named "z" p/b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testTurnPackageToModule] [file a.py] [file b.py] import p x = p.f() [file p/__init__.py] def f() -> int: pass [delete p/__init__.py.2] [file p.py.2] def f() -> str: pass [file a.py.3] import b reveal_type(b.x) [out] == == a.py:2: note: Revealed type is "builtins.str" [case testModuleToPackage] [file a.py] [file b.py] import p x = p.f() [file p.py] def f() -> str: pass [delete p.py.2] [file p/__init__.py.2] def f() -> int: pass [file a.py.3] import b reveal_type(b.x) [out] == == a.py:2: note: Revealed type is "builtins.int" [case testQualifiedSubpackage1] [file c/__init__.py] [file c/a.py] from lurr import x from c.d import f [file c/d.py] def f() -> None: pass def g(x: int) -> None: pass [file lurr.py] x = 10 [file lurr.py.2] x = '10' [out] == [case testImportedMissingSubpackage] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy a.py b/__init__.py [file a.py] from b.foo import bar x = 10 [file b/__init__.py] [file a.py.2] from b.foo import bar x = '10' [out] == [case testFineAddedMissingStubs] # flags: --ignore-missing-imports from missing import f f(int()) [file missing.pyi.2] def f(x: str) -> None: pass [out] == main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineAddedMissingStubsPackage] # flags: --ignore-missing-imports import package.missing package.missing.f(int()) [file package/__init__.pyi.2] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] == main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineAddedMissingStubsPackageFrom] # flags: --ignore-missing-imports from package import missing missing.f(int()) [file package/__init__.pyi.2] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] == main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineAddedMissingStubsPackagePartial] # flags: --ignore-missing-imports import package.missing package.missing.f(int()) [file package/__init__.pyi] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] == main:3: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineAddedMissingStubsPackagePartialGetAttr] import package.missing package.missing.f(int()) [file package/__init__.pyi] from typing import Any def __getattr__(attr: str) -> Any: ... [file package/missing.pyi.2] def f(x: str) -> None: pass [out] == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineAddedMissingStubsIgnore] from missing import f # type: ignore f(int()) [file missing.pyi.2] def f(x: str) -> None: pass [out] == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineAddedMissingStubsIgnorePackage] import package.missing # type: ignore package.missing.f(int()) [file package/__init__.pyi.2] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineAddedMissingStubsIgnorePackageFrom] from package import missing # type: ignore missing.f(int()) [file package/__init__.pyi.2] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineAddedMissingStubsIgnorePackagePartial] import package.missing # type: ignore package.missing.f(int()) [file package/__init__.pyi] [file package/missing.pyi.2] def f(x: str) -> None: pass [out] == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testFineFollowImportSkipNotInvalidatedOnPresent] # flags: --follow-imports=skip # cmd: mypy main.py [file main.py] import other [file other.py] x = 1 [file other.py.2] x = 'hi' [stale] [rechecked] [out] == [case testFineFollowImportSkipNotInvalidatedOnPresentPackage] # flags: --follow-imports=skip # cmd: mypy main.py [file main.py] import other [file other/__init__.py] x = 1 [file other/__init__.py.2] x = 'hi' [stale] [rechecked] [out] == [case testFineFollowImportSkipNotInvalidatedOnAdded] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy main.py [file main.py] import other [file other.py.2] x = 1 [stale] [rechecked] [out] == -- TODO: Fix this: stubs should be followed normally even with follow-imports=skip [case testFineFollowImportSkipInvalidatedOnAddedStub-skip] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy main.py [file main.py] import other x: str = other.x [file other.pyi.2] x = 1 [stale main, other] [rechecked main, other] [out] == main:2: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testFineAddedSkippedStubsPackageFrom] # flags: --follow-imports=skip --ignore-missing-imports # cmd: mypy main.py # cmd2: mypy main.py package/__init__.py package/missing.py [file main.py] from package import missing missing.f(int()) [file package/__init__.py] [file package/missing.py] def f(x: str) -> None: pass [out] == main.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testIgnoredAttrReprocessedModule] import a [file a.py] import b x = b.x # type: ignore y: int = x [file b.py] import c [file b.py.2] import c x = c.x [file c.py] x: str [out] == a.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testMissingStubAdded1] # flags: --follow-imports=skip # cmd: mypy main.py [file main.py] import foo foo.x = 1 [file foo.pyi.2] x = 'x' [file main.py.3] import foo foo.x = 'y' [out] main.py:1: error: Cannot find implementation or library stub for module named "foo" main.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main.py:2: error: Incompatible types in assignment (expression has type "int", variable has type "str") == [case testMissingStubAdded2] # flags: --follow-imports=skip # cmd: mypy main.py [file main.py] import foo # type: ignore foo.x = 1 [file foo.pyi.2] x = 'x' [file main.py.3] import foo foo.x = 'y' [out] == main.py:2: error: Incompatible types in assignment (expression has type "int", variable has type "str") == [case testDoNotFollowImportToNonStubFile] # flags: --follow-imports=skip # cmd: mypy main.py [file main.py] import foo # type: ignore foo.x = 1 [file foo.py.2] x = 'x' 1 + 'x' [out] == [case testLibraryStubsNotInstalled] import a [file a.py] import requests [file a.py.2] # nothing [file a.py.3] import jack [out] a.py:1: error: Library stubs not installed for "requests" a.py:1: note: Hint: "python3 -m pip install types-requests" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == == a.py:1: error: Library stubs not installed for "jack" a.py:1: note: Hint: "python3 -m pip install types-JACK-Client" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testIgnoreErrorsFromTypeshed] # flags: --custom-typeshed-dir tmp/ts --follow-imports=normal # cmd1: mypy a.py # cmd2: mypy a.py [file a.py] import foobar [file ts/stdlib/abc.pyi] [file ts/stdlib/builtins.pyi] class object: pass class str: pass class ellipsis: pass [file ts/stdlib/sys.pyi] [file ts/stdlib/types.pyi] [file ts/stdlib/typing.pyi] def cast(x): ... [file ts/stdlib/typing_extensions.pyi] [file ts/stdlib/VERSIONS] [file ts/stubs/mypy_extensions/mypy_extensions.pyi] [file ts/stdlib/foobar.pyi.2] # We report no errors from typeshed. It would be better to test ignoring # errors from PEP 561 packages, but it's harder to test and uses the # same code paths, so we are using typeshed instead. import baz import zar undefined [file ts/stdlib/baz.pyi.2] import whatever undefined [out] a.py:1: error: Cannot find implementation or library stub for module named "foobar" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == [case testDaemonImportMapRefresh] # cmd: mypy main.py [file main.py] [file main.py.2] import a.b reveal_type(a.b.foo()) [file a/__init__.pyi] [file a/b.pyi] import a.c def foo() -> a.c.C: ... [file a/c.pyi] class C: ... [out] == main.py:2: note: Revealed type is "a.c.C" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-python312.test0000644000175100017510000000406115112307767022123 0ustar00runnerrunner[case testPEP695TypeAliasDep] import m def g() -> m.C: return m.f() [file m.py] type C = int def f() -> int: pass [file m.py.2] type C = str def f() -> int: pass [out] == main:3: error: Incompatible return value type (got "int", expected "str") [case testPEP695ChangeOldStyleToNewStyleTypeAlias] from m import A A() [file m.py] A = int [file m.py.2] type A = int [typing fixtures/typing-full.pyi] [builtins fixtures/tuple.pyi] [out] == main:2: error: "TypeAliasType" not callable [case testPEP695VarianceChangesDueToDependency] from a import C x: C[object] = C[int]() [file a.py] from b import A class C[T]: def f(self) -> A[T]: ... [file b.py] class A[T]: def f(self) -> T: ... [file b.py.2] class A[T]: def f(self) -> list[T]: ... [out] == main:3: error: Incompatible types in assignment (expression has type "C[int]", variable has type "C[object]") [case testPEP695TypeAliasChangesDueToDependency] from a import A x: A x = 0 x = '' [file a.py] from b import B type A = B[int, str] [file b.py] from typing import Union as B [file b.py.2] from builtins import tuple as B [builtins fixtures/tuple.pyi] [typing fixtures/typing-full.pyi] [out] == main:3: error: Incompatible types in assignment (expression has type "int", variable has type "tuple[int, str]") main:4: error: Incompatible types in assignment (expression has type "str", variable has type "tuple[int, str]") [case testPEP695NestedGenericClassMethodUpdated] from a import f class C: class D[T]: x: T def m(self) -> T: f() return self.x [file a.py] def f() -> None: pass [file a.py.2] def f(x: int) -> None: pass [out] == main:7: error: Missing positional argument "x" in call to "f" [case testPEP695MultipleNestedGenericClassMethodUpdated] from a import f class A: class C: class D[T]: x: T def m(self) -> T: f() return self.x [file a.py] def f() -> None: pass [file a.py.2] def f(x: int) -> None: pass [out] == main:8: error: Missing positional argument "x" in call to "f" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained-suggest.test0000644000175100017510000005306415112307767022044 0ustar00runnerrunner[case testSuggestCallsites1] # suggest: --callsites foo.foo [file foo.py] def foo(arg): return 12 var = 0 [file bar.py] from foo import foo def bar() -> None: foo('abc') foo(arg='xyz') args = [''] foo(*args) kwds = {'arg': ''} foo(**kwds) [builtins fixtures/dict.pyi] [out] bar.py:3: (str) bar.py:4: (arg=str) bar.py:6: (*list[str]) bar.py:8: (**dict[str, str]) == [case testSuggestCallsitesStep2] # suggest2: --callsites foo.foo [file foo.py] def foo(arg): return 12 var = 0 [file bar.py] from foo import foo def bar() -> None: foo('abc') foo(arg='xyz') args = [''] foo(*args) kwds = {'arg': ''} foo(**kwds) [builtins fixtures/dict.pyi] [out] == bar.py:3: (str) bar.py:4: (arg=str) bar.py:6: (*list[str]) bar.py:8: (**dict[str, str]) [case testMaxGuesses] # suggest: foo.foo # suggest: --max-guesses=2 foo.foo [file foo.py] # The idea here is that we can only find the union type with more guesses. def foo(x, y): if not isinstance(x, int): x+'1' foo(1, 2) foo('3', '4') [builtins fixtures/isinstancelist.pyi] [out] (Union[int, str], object) -> None (object, object) -> None == [case testSuggestInferFunc1] # suggest: foo.foo [file foo.py] def foo(arg, lol=None): if isinstance(arg, int): arg+1 else: assert arg arg+'1' [file bar.py] from foo import foo def bar() -> None: foo('abc') foo(lol=10, arg=10) foo(None) def untyped(x) -> None: foo(x) [builtins fixtures/isinstancelist.pyi] [out] (Union[str, int, None], Optional[int]) -> None == [case testSuggestInferFunc2] # suggest: foo.foo [file foo.py] def foo(arg): return arg [file bar.py] from foo import foo def thing() -> str: return '' def bar() -> None: # We stick it in a list so that the argument type is marked as "inferred", # which we want to make sure doesn't show up. x = ['hello'] foo(x[0]) [builtins fixtures/isinstancelist.pyi] [out] (str) -> str == [case testSuggestInferFuncAny1] # suggest: foo.foo # suggest: foo.bar [file foo.py] def foo(arg): return arg.x def bar(arg): pass [file bar.py] from foo import bar bar(None) [out] (Any) -> Any (Optional[Any]) -> None == [case testSuggestInferFuncAny2] # suggest: --no-any foo.foo # suggest: --no-any foo.bar [file foo.py] def foo(arg): return arg.x def bar(arg): pass [file bar.py] from foo import bar bar(None) [out] No guesses that match criteria! No guesses that match criteria! == [case testSuggestInferTuple] # suggest: --no-any foo.foo [file foo.py] def foo(): return 1, "1" [builtins fixtures/tuple.pyi] [out] () -> Tuple[int, str] == [case testSuggestInferNamedTuple] # suggest: foo.foo [file foo.py] from typing import NamedTuple N = NamedTuple('N', [('x', int)]) def foo(): return N(1) [builtins fixtures/tuple.pyi] [out] () -> foo.N == [case testSuggestInferTypedDict] # suggest: foo.foo [file foo.py] from typing import TypedDict TD = TypedDict('TD', {'x': int}) def foo(): return bar() def bar() -> TD: ... [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] () -> foo.TD == [case testSuggestWithNested] # suggest: foo.foo [file foo.py] def foo(): def bar(): return 1 return 'lol' [out] () -> str == [case testSuggestReexportNaming] # suggest: foo.foo [file foo.py] from bar import A def foo(x): return A(), A.C() [file bar.py] from baz import A [file baz.py] class A: class C: ... class B: ... [file caller.py] from foo import foo from baz import B foo(B()) [builtins fixtures/tuple.pyi] [out] (baz.B) -> Tuple[foo.A, foo:A.C] == [case testSuggestReexportNamingNameMatchesModule1] # suggest: foo.foo [file foo.py] import bar def foo(): return bar.bar() [file bar.py] class bar: ... # name matches module name [out] () -> bar.bar == [case testSuggestReexportNamingNameMatchesModule2] # suggest: foo.foo [file foo.py] import bar import qux def foo(): return qux.bar() [file bar.py] [file qux.py] class bar: ... # name matches another module name [out] () -> qux.bar == [case testSuggestInferInit] # suggest: foo.Foo.__init__ [file foo.py] class Foo: def __init__(self, arg): self.arg = arg [file bar.py] from foo import Foo Foo('lol') [out] (str) -> None == [case testSuggestInferMethod1] # suggest: --no-any foo.Foo.foo [file foo.py] class Foo: def __init__(self) -> None: self.y = '10' def foo(self, arg, lol=None): if isinstance(arg, int): return arg+1 else: assert arg return arg+self.y [file bar.py] from foo import Foo def bar() -> None: x = Foo() x.foo('abc') x.foo(lol=10, arg=10) x.foo(None) [builtins fixtures/isinstancelist.pyi] [out] (Union[str, int, None], Optional[int]) -> object == [case testSuggestInferMethod2] # suggest: foo.Foo.foo [file foo.py] class Foo: def i(self, x: int) -> int: return x def s(self, x: str) -> str: return x def foo(self, arg, lol=None): if isinstance(arg, int): return self.i(arg) else: assert arg return self.s(arg) [file bar.py] from typing import Union from foo import Foo def bar() -> None: x = Foo() x.foo('abc') x.foo(lol=10, arg=10) a: Union[str, int] = x.foo(None) [builtins fixtures/isinstancelist.pyi] [out] (Union[str, int, None], Optional[int]) -> Union[int, str] == [case testSuggestInferMethod3] # suggest2: foo.Foo.foo [file foo.py] class Foo: def foo(self, lol = None): pass def lol(self) -> None: self.foo('lol') [file bar.py] from foo import Foo def bar() -> None: x = Foo() x.foo('abc') [builtins fixtures/isinstancelist.pyi] [out] == (Optional[str]) -> None [case testSuggestBackflow] # suggest: foo.foo # suggest: foo.bar # suggest: foo.baz # suggest: foo.Cls.spam # suggest: foo.method # suggest: foo.meet # suggest: foo.has_nested [file foo.py] from typing import Any, List, Optional class A: pass class B(A): def test(self, x: A) -> None: pass def take_optional_a(x: Optional[A]) -> None: pass def take_a(x: A) -> None: pass def take_b(x: B) -> None: pass def take_any(x: Any) -> None: pass def take_kws(a: A, b: B) -> None: pass def take_star(*a: A) -> None: pass def foo(x): take_b(x) def bar(x): take_b(x) bar(A()) def baz(x, y): take_kws(a=y, b=x) class Cls: def spam(self, x, y): take_star(x, y) def method(x): b = B() b.test(x) def meet(x, y): take_a(x) take_b(x) take_a(y) take_optional_a(y) take_any(y) foo(y) # unannotated def has_nested(x): def nested(): take_b(x) [builtins fixtures/isinstancelist.pyi] [out] (foo.B) -> None (foo.A) -> None (foo.B, foo.A) -> None (foo.A, foo.A) -> None (foo.A) -> None (foo.B, foo.A) -> None (foo.B) -> None == [case testSuggestInferFunctionUnreachable] # suggest: foo.foo [file foo.py] import sys def foo(lol): if sys.platform == 'nothing': return lol else: return lol + lol [file bar.py] from foo import foo foo('test') [builtins fixtures/isinstancelist.pyi] [out] (str) -> str == [case testSuggestInferMethodStep2] # suggest2: foo.Foo.foo [file foo.py] class Foo: def i(self, x: int) -> int: return x def s(self, x: str) -> str: return x def foo(self, arg, lol=None): if isinstance(arg, int): return self.i(arg) else: assert arg return self.s(arg) [file bar.py] from typing import Union from foo import Foo def bar() -> None: x = Foo() x.foo('abc') x.foo(lol=10, arg=10) a: Union[str, int] = x.foo(None) [builtins fixtures/isinstancelist.pyi] [out] == (Union[str, int, None], Optional[int]) -> Union[int, str] [case testSuggestInferNestedMethod] # suggest: foo.Foo.Bar.baz [file foo.py] class Foo: class Bar: def baz(self, lol): return lol [file bar.py] from foo import Foo def bar() -> None: x = Foo.Bar() x.baz('abc') [builtins fixtures/isinstancelist.pyi] [out] (str) -> str == [case testSuggestCallable] # suggest: foo.foo # suggest: foo.bar # suggest: --flex-any=0.9 foo.bar # suggest: foo.baz # suggest: foo.quux [file foo.py] def foo(f): return f(0, "lol") def bar(f): return f(0, "lol", 100) def baz(f): return f(y=1) + f(x=10, y=1) def quux(f): return f(1) [file bar.py] from typing import Any from foo import foo, bar, baz, quux def whatever(x: int, y: str) -> int: return 0 def starargs(*args: Any) -> int: return 0 def named(*, x: int = 0, y: int) -> str: return '0' # we don't properly handle default really. we just assume it is # actually required. def default(x: int = 0) -> str: return '0' def test() -> None: foo(whatever) bar(starargs) baz(named) quux(default) [builtins fixtures/primitives.pyi] [out] (Callable[[int, str], int]) -> int (Callable[..., int]) -> int No guesses that match criteria! (Callable[..., str]) -> str (Callable[[int], str]) -> str == [case testSuggestNewSemanal] # suggest: foo.Foo.foo # suggest: foo.foo [file foo.py] class Foo: def __init__(self) -> None: self.y = '10' def foo(self, arg, lol=None): if isinstance(arg, int): return arg+1 else: assert arg return arg+self.y def foo(arg, lol=None): if isinstance(arg, int): arg+1 else: assert arg arg+'1' [file bar.py] from foo import Foo, foo def bar() -> None: x = Foo() x.foo('abc') x.foo(lol=10, arg=10) x.foo(None) def baz() -> None: foo('abc') foo(lol=10, arg=10) foo(None) [builtins fixtures/isinstancelist.pyi] [out] (Union[str, int, None], Optional[int]) -> object (Union[str, int, None], Optional[int]) -> None == [case testSuggestInferFuncDecorator1] # suggest: foo.foo [file foo.py] from typing import TypeVar F = TypeVar('F') def dec(x: F) -> F: return x @dec def foo(arg): return arg [file bar.py] from foo import foo def bar() -> None: foo('abc') [builtins fixtures/isinstancelist.pyi] [out] (str) -> str == [case testSuggestInferFuncDecorator2] # suggest: foo.foo [file foo.py] from typing import TypeVar, Callable, Any F = TypeVar('F', bound=Callable[..., Any]) def dec(x: F) -> F: return x @dec def foo(arg): return arg [file bar.py] from foo import foo def bar() -> None: foo('abc') [builtins fixtures/isinstancelist.pyi] [out] (str) -> str == [case testSuggestInferFuncDecorator3] # suggest: foo.foo [file foo.py] from typing import TypeVar, Callable, Any F = TypeVar('F', bound=Callable[..., Any]) def dec(s: str) -> Callable[[F], F]: def f(x: F) -> F: return x return f @dec('lol') def foo(arg): return arg [file bar.py] from foo import foo def bar() -> None: foo('abc') [builtins fixtures/isinstancelist.pyi] [out] (str) -> str == [case testSuggestInferFuncDecorator4] # suggest: foo.foo [file dec.py] from typing import TypeVar, Callable, Any F = TypeVar('F', bound=Callable[..., Any]) def dec(s: str) -> Callable[[F], F]: def f(x: F) -> F: return x return f [file foo.py] import dec @dec.dec('lol') def foo(arg): return arg [file bar.py] from foo import foo def bar() -> None: foo('abc') [builtins fixtures/isinstancelist.pyi] [out] (str) -> str == [case testSuggestInferFuncDecorator5] # suggest: foo.foo1 # suggest: foo.foo2 # suggest: foo.foo3 [file foo.py] from __future__ import annotations from typing import TypeVar, Generator, Callable F = TypeVar('F') # simplified `@contextmanager class _impl: def __call__(self, f: F) -> F: return f def contextmanager(gen: Callable[[], Generator[None, None, None]]) -> Callable[[], _impl]: return _impl @contextmanager def gen() -> Generator[None, None, None]: yield @gen() def foo1(x): return x foo1('hi') inst = gen() @inst def foo2(x): return x foo2('hello') ref = gen @ref() def foo3(x): return x foo3('hello hello') [builtins fixtures/isinstancelist.pyi] [out] (str) -> str (str) -> str (str) -> str == [case testSuggestInferFuncDecorator6] # suggest: foo.f [file foo.py] from __future__ import annotations from typing import Callable, Protocol, TypeVar from typing_extensions import ParamSpec P = ParamSpec('P') R = TypeVar('R') R_co = TypeVar('R_co', covariant=True) class Proto(Protocol[P, R_co]): def __call__(self, *args: P.args, **kwargs: P.kwargs) -> R_co: ... def dec1(f: Callable[P, R]) -> Callable[P, R]: ... def dec2(f: Callable[..., R]) -> Callable[..., R]: ... def dec3(f: Proto[P, R_co]) -> Proto[P, R_co]: ... @dec1 @dec2 @dec3 def f(x): return x f('hi') [builtins fixtures/isinstancelist.pyi] [out] (str) -> str == [case testSuggestFlexAny1] # suggest: --flex-any=0.4 m.foo # suggest: --flex-any=0.7 m.foo # suggest: --flex-any=0.4 m.bar # suggest: --flex-any=0.6 m.bar # suggest2: --flex-any=0.4 m.foo # suggest2: --flex-any=0.7 m.foo [file m.py] from typing import Any any: Any def foo(arg): return 0 def bar(x, y): return any [file n.py] from typing import Any any: Any from m import foo, bar def wtvr() -> None: foo(any) bar(1, 2) [file n.py.2] from typing import Any any: Any from m import foo, bar def wtvr() -> None: foo([any]) [builtins fixtures/isinstancelist.pyi] [out] (Any) -> int No guesses that match criteria! (int, int) -> Any No guesses that match criteria! == (list[Any]) -> int (list[Any]) -> int [case testSuggestFlexAny2] # suggest: --flex-any=0.5 m.baz # suggest: --flex-any=0.0 m.baz # suggest: --flex-any=0.5 m.F.foo # suggest: --flex-any=0.7 m.F.foo # suggest: --flex-any=0.7 m.noargs [file m.py] # Test mostly corner cases # Test that a None return doesn't get counted def baz(x): pass class F: # Test that self doesn't get counted def foo(self, x): return 0 # Make sure we don't crash on noarg functions def noargs(): pass [builtins fixtures/isinstancelist.pyi] [out] No guesses that match criteria! (Any) -> None (Any) -> int No guesses that match criteria! () -> None == [case testSuggestClassMethod] # suggest: foo.F.bar # suggest: foo.F.baz # suggest: foo.F.eggs [file foo.py] class F: @classmethod def bar(cls, x, y): return x @staticmethod def baz(x, y): return x @classmethod def spam(cls): # type: () -> None cls.eggs(4) @classmethod def eggs(cls, x): pass [file bar.py] from foo import F def bar(iany) -> None: F.bar(0, iany) F().bar(0, 5) F.baz('lol', iany) F().baz('lol', 10) [builtins fixtures/classmethod.pyi] [out] (int, int) -> int (str, int) -> str (int) -> None == [case testSuggestNewInit] # suggest: foo.F.__init__ # suggest: foo.F.__new__ [file foo.py] class F: def __new__(cls, t): return super().__new__(cls) def __init__(self, t): self.t = t [file bar.py] from foo import F def bar(iany) -> None: F(0) [out] (int) -> None (int) -> Any == [case testSuggestColonBasic] # suggest: tmp/foo.py:1 # suggest: tmp/bar/baz.py:2 [file foo.py] def func(arg): return 0 func('test') from bar.baz import C C().method('test') [file bar/__init__.py] [file bar/baz.py] class C: def method(self, x): return 0 [out] (str) -> int (str) -> int == [case testSuggestColonAfter] # suggest: tmp/foo.py:6 # suggest: tmp/foo.py:15 # suggest: tmp/foo.py:16 # suggest: tmp/foo.py:18 [file foo.py] from typing import TypeVar F = TypeVar('F') def foo(): # hi return 1 def dec(x: F) -> F: return x class A: @dec def bar(self): return 1.0 @dec def baz(): return 'test' [out] () -> int () -> float () -> str () -> str == [case testSuggestParent] # suggest: foo.B.foo # suggest: foo.B.bar # suggest: foo.C.foo [file foo.py] from typing import TypeVar, Callable, Any F = TypeVar('F', bound=Callable[..., Any]) def deco(f: F) -> F: ... class A: def foo(self, x: int) -> float: return 0.0 @deco def bar(self, x: int) -> float: return 0.0 class B(A): def foo(self, x): return 0.0 @deco def bar(self, x): return 0.0 class C(B): def foo(self, x): return 0.0 [out] (int) -> float (int) -> float (int) -> float == [case testSuggestColonBadLocation] # suggest: tmp/foo.py:7:8:9 [file foo.py] [out] Malformed location for function: tmp/foo.py:7:8:9. Must be either package.module.Class.method or path/to/file.py:line == [case testSuggestColonBadLine] # suggest: tmp/foo.py:bad [file foo.py] [out] Line number must be a number. Got bad == [case testSuggestColonBadFile] # suggest: tmp/foo.txt:1 [file foo.txt] def f(): pass [out] Source file is not a Python file == [case testSuggestColonClass] # suggest: tmp/foo.py:1 [file foo.py] class C: pass [out] Cannot find a function at line 1 == [case testSuggestColonDecorator] # suggest: tmp/foo.py:6 [file foo.py] from typing import TypeVar, Callable, Any F = TypeVar('F', bound=Callable[..., Any]) def deco(f: F) -> F: ... @deco def func(arg): return 0 func('test') [out] (str) -> int == [case testSuggestColonMethod] # suggest: tmp/foo.py:3 [file foo.py] class Out: class In: def method(self, x): return Out() x: Out.In x.method(x) [out] (foo:Out.In) -> foo.Out == [case testSuggestColonMethodJSON] # suggest: --json tmp/foo.py:3 [file foo.py] class Out: class In: def method(self, x): return Out() x: Out.In x.method(x) [out] \[{"func_name": "Out.In.method", "line": 3, "path": "tmp/foo.py", "samples": 0, "signature": {"arg_types": ["foo:Out.In"], "return_type": "foo.Out"}}] == [case testSuggestColonNonPackageDir] # cmd: mypy foo/bar/baz.py # suggest: tmp/foo/bar/baz.py:1 [file foo/bar/baz.py] def func(arg): return 0 func('test') [out] (str) -> int == [case testSuggestUseFixmeBasic] # suggest: --use-fixme=UNKNOWN foo.foo # suggest: --use-fixme=UNKNOWN foo.bar [file foo.py] def foo(): return g() def bar(x): return None def g(): ... x = bar(g()) [out] () -> UNKNOWN (UNKNOWN) -> None == [case testSuggestUseFixmeNoNested] # suggest: --use-fixme=UNKNOWN foo.foo [file foo.py] from typing import List, Any def foo(x, y): return x, y def f() -> List[Any]: ... def g(): ... z = foo(f(), g()) [builtins fixtures/isinstancelist.pyi] [out] (list[Any], UNKNOWN) -> Tuple[list[Any], Any] == [case testSuggestBadImport] # suggest: foo.foo [file foo.py] from nothing import Foo # type: ignore def foo(x: Foo): return 10 [out] (foo.Foo) -> int == [case testSuggestDict] # suggest: foo.foo # suggest: foo.bar # suggest: foo.baz # suggest: foo.quux # suggest: foo.spam [file foo.py] from typing import List, Any def foo(): return {'x': 5} def bar(): return {} def baz() -> List[Any]: return [{'x': 5}] def quux() -> List[Any]: return [1] def spam(x): pass spam({'x': 5}) [builtins fixtures/dict.pyi] [out] () -> dict[str, int] () -> dict[Any, Any] () -> list[dict[str, int]] () -> list[int] (dict[str, int]) -> None == [case testSuggestWithErrors] # suggest: foo.foo [file foo.py] 1+'no' def foo(): return 10 [out] foo.py:1: error: Unsupported operand types for + ("int" and "str") () -> int == foo.py:1: error: Unsupported operand types for + ("int" and "str") [case testSuggestWithBlockingError] # suggest: foo.foo [file foo.py] def foo(): return 10 ( [out] foo.py:4: error: Unexpected EOF while parsing Command 'suggest' is only valid after a 'check' command (that produces no parse errors) == foo.py:4: error: Unexpected EOF while parsing [out version>=3.10] foo.py:4: error: '(' was never closed Command 'suggest' is only valid after a 'check' command (that produces no parse errors) == foo.py:4: error: '(' was never closed -- ) [case testSuggestRefine] # suggest: foo.foo # suggest: foo.spam # suggest: foo.eggs # suggest: foo.take_l # suggest: foo.union # suggest: foo.callable1 # suggest: foo.callable2 # suggest: foo.optional1 # suggest: foo.optional2 # suggest: foo.optional3 # suggest: foo.optional4 # suggest: foo.optional5 # suggest: foo.optional_any # suggest: foo.dict1 # suggest: foo.tuple1 [file foo.py] from typing import Any, List, Union, Callable, Optional, Set, Dict, Tuple def bar(): return 10 def foo(x: int, y): return x + y foo(bar(), 10) def spam(x: int, y: Any) -> Any: return x + y spam(bar(), 20) def eggs(x: int) -> List[Any]: a = [x] return a def take_l(x: List[Any]) -> Any: return x[0] test = [10, 20] take_l(test) def union(x: Union[int, str]): pass union(10) def add1(x: float) -> int: pass def callable1(f: Callable[[int], Any]): return f(10) callable1(add1) def callable2(f: Callable[..., Any]): return f(10) callable2(add1) def optional1(x: Optional[Any]): pass optional1(10) def optional2(x: Union[None, int, Any]): if x is None: pass elif isinstance(x, str): pass else: add1(x) optional2(10) optional2('test') def optional3(x: Optional[List[Any]]): assert x return x[0] optional3(test) set_test = {1, 2} def optional4(x: Union[Set[Any], List[Any]]): pass optional4(test) optional4(set_test) def optional5(x: Optional[Any]): pass optional5(10) optional5(None) def optional_any(x: Optional[Any] = None): pass def dict1(d: Dict[int, Any]): pass d: Dict[Any, int] dict1(d) def tuple1(d: Tuple[int, Any]): pass t: Tuple[Any, int] tuple1(t) [builtins fixtures/isinstancelist.pyi] [out] (int, int) -> int (int, int) -> int (int) -> list[int] (list[int]) -> int (Union[int, str]) -> None (Callable[[int], int]) -> int (Callable[[float], int]) -> int (Optional[int]) -> None (Union[None, int, str]) -> None (Optional[list[int]]) -> int (Union[set[int], list[int]]) -> None (Optional[int]) -> None (Optional[Any]) -> None (dict[int, int]) -> None (Tuple[int, int]) -> None == [case testSuggestRefine2] # suggest: foo.optional5 [file foo.py] from typing import Optional, Any def optional5(x: Optional[Any]): pass optional5(10) optional5(None) [builtins fixtures/isinstancelist.pyi] [out] (Optional[int]) -> None == ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fine-grained.test0000644000175100017510000066524515112307767020377 0ustar00runnerrunner-- Test cases for fine-grained incremental checking -- -- Test cases may define multiple versions of a file -- (e.g. m.py, m.py.2). There is always an initial batch -- pass that processes all files present initially, followed -- by one or more fine-grained incremental passes that use -- alternative versions of files, if available. If a file -- just has a single .py version, it is used for all passes. -- TODO: what if version for some passes but not all -- Output is laid out like this: -- -- [out] -- -- == -- -- -- -- Modules that are expected to be detected as changed by dmypy_server -- can be checked with [stale ...] -- Generally this should mean added, deleted, or changed files, though there -- are important edge cases related to the cache: deleted files won't be detected -- as changed in the initial run with the cache while modules that depended on them -- should be. -- -- Modules that require a full-module reprocessing by update can be checked with -- [rechecked ...]. This should include any files detected as having changed as well -- as any files that contain targets that need to be reprocessed but which haven't -- been loaded yet. If there is no [rechecked...] directive, it inherits the value of -- [stale ...]. -- -- Specifications for later runs can be given with [stale2 ...], [stale3 ...], etc. -- -- Test runner can parse options from mypy.ini file. Updating this file in between -- incremental runs is not yet supported. -- -- Each test case run without caching and with caching (if the initial run passes), -- unless it has one a -only_when_cache or -only_when_nocache arguments. We sometimes -- skip caching test cases to speed up tests, if the caching variant is not useful. -- The caching test case variants get an implicit _cached suffix. [case testReprocessFunction] import m def g() -> int: return m.f() [file m.py] def f() -> int: pass [file m.py.2] def f() -> str: pass [out] == main:3: error: Incompatible return value type (got "str", expected "int") [case testReprocessTopLevel] import m m.f(1) def g() -> None: pass [file m.py] def f(x: int) -> None: pass [file m.py.2] def f(x: str) -> None: pass [out] == main:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testReprocessMethod] import m class B: def f(self, a: m.A) -> None: a.g() # E [file m.py] class A: def g(self) -> None: pass [file m.py.2] class A: def g(self, a: A) -> None: pass [out] == main:4: error: Missing positional argument "a" in call to "g" of "A" [case testReprocessMethodShowSource] # flags: --pretty --show-error-codes import m class B: def f(self, a: m.A) -> None: a.g() # E [file m.py] class A: def g(self) -> None: pass [file m.py.2] class A: def g(self, a: A) -> None: pass [out] == main:5: error: Missing positional argument "a" in call to "g" of "A" [call-arg] a.g() # E ^~~~~ [case testFunctionMissingModuleAttribute] import m def h() -> None: m.f(1) [file m.py] def f(x: int) -> None: pass [file m.py.2] def g(x: str) -> None: pass [builtins fixtures/fine_grained.pyi] [out] == main:3: error: Module has no attribute "f" [case testTopLevelMissingModuleAttribute] import m m.f(1) def g() -> None: pass [file m.py] def f(x: int) -> None: pass [file m.py.2] def g(x: int) -> None: pass [builtins fixtures/fine_grained.pyi] [out] == main:2: error: Module has no attribute "f" [case testClassChangedIntoFunction] import m def f(a: m.A) -> None: pass [file m.py] class A: pass [file m.py.2] def A() -> None: pass [out] == main:3: error: Function "m.A" is not valid as a type main:3: note: Perhaps you need "Callable[...]" or a callback protocol? [case testClassChangedIntoFunction2] import m class B: def f(self, a: m.A) -> None: pass [file m.py] class A: pass [file m.py.2] def A() -> None: pass [file n.py.3] [out] == main:4: error: Function "m.A" is not valid as a type main:4: note: Perhaps you need "Callable[...]" or a callback protocol? == main:4: error: Function "m.A" is not valid as a type main:4: note: Perhaps you need "Callable[...]" or a callback protocol? [case testAttributeTypeChanged] import m def f(a: m.A) -> int: return a.x [file m.py] class A: def f(self) -> None: self.x = 1 [file m.py.2] class A: def f(self) -> None: self.x = 'x' [out] == main:3: error: Incompatible return value type (got "str", expected "int") [case testAttributeRemoved] import m def f(a: m.A) -> int: return a.x [file m.py] class A: def f(self) -> None: self.x = 1 [file m.py.2] class A: def f(self) -> None: pass [out] == main:3: error: "A" has no attribute "x" [case testVariableTypeBecomesInvalid] import m def f() -> None: a: m.A [file m.py] class A: pass [file m.py.2] [out] == main:3: error: Name "m.A" is not defined [case testTwoIncrementalSteps] import m import n [file m.py] def f() -> None: pass [file n.py] import m def g() -> None: m.f() # E [file m.py.2] import n def f(x: int) -> None: n.g() # E [file n.py.3] import m def g(a: str) -> None: m.f('') # E [out] == n.py:3: error: Missing positional argument "x" in call to "f" == n.py:3: error: Argument 1 to "f" has incompatible type "str"; expected "int" m.py:3: error: Missing positional argument "a" in call to "g" [case testTwoRounds] import m def h(a: m.A) -> int: return a.x [file m.py] import n class A: def g(self, b: n.B) -> None: self.x = b.f() [file n.py] class B: def f(self) -> int: pass [file n.py.2] class B: def f(self) -> str: pass [out] == main:3: error: Incompatible return value type (got "str", expected "int") [case testFixTypeError] import m def f(a: m.A) -> None: a.f(a) [file m.py] class A: def f(self, a: 'A') -> None: pass [file m.py.2] class A: def f(self) -> None: pass [file m.py.3] class A: def f(self, a: 'A') -> None: pass [out] == main:3: error: Too many arguments for "f" of "A" == [case testFixTypeError2] import m def f(a: m.A) -> None: a.f() [file m.py] class A: def f(self) -> None: pass [file m.py.2] class A: def g(self) -> None: pass [file m.py.3] class A: def f(self) -> None: pass [out] == main:3: error: "A" has no attribute "f" == [case testFixSemanticAnalysisError] import m def f() -> None: m.A() [file m.py] class A: pass [file m.py.2] class B: pass [file m.py.3] class A: pass [builtins fixtures/fine_grained.pyi] [out] == main:3: error: Module has no attribute "A" == [case testContinueToReportTypeCheckError] import m def f(a: m.A) -> None: a.f() def g(a: m.A) -> None: a.g() [file m.py] class A: def f(self) -> None: pass def g(self) -> None: pass [file m.py.2] class A: pass [file m.py.3] class A: def f(self) -> None: pass [out] == main:3: error: "A" has no attribute "f" main:5: error: "A" has no attribute "g" == main:5: error: "A" has no attribute "g" [case testContinueToReportSemanticAnalysisError] import m def f() -> None: m.A() def g() -> None: m.B() [file m.py] class A: pass class B: pass [file m.py.2] [file m.py.3] class A: pass [builtins fixtures/fine_grained.pyi] [out] == main:3: error: Module has no attribute "A" main:5: error: Module has no attribute "B" == main:5: error: Module has no attribute "B" [case testContinueToReportErrorAtTopLevel-only_when_nocache] -- Different cache/no-cache tests because: -- Error message ordering differs import n import m m.A().f() [file n.py] import m m.A().g() [file m.py] class A: def f(self) -> None: pass def g(self) -> None: pass [file m.py.2] class A: pass [file m.py.3] class A: def f(self) -> None: pass [out] == main:3: error: "A" has no attribute "f" n.py:2: error: "A" has no attribute "g" == n.py:2: error: "A" has no attribute "g" [case testContinueToReportErrorAtTopLevel2-only_when_cache] -- Different cache/no-cache tests because: -- Error message ordering differs import n import m m.A().f() [file n.py] import m m.A().g() [file m.py] class A: def f(self) -> None: pass def g(self) -> None: pass [file m.py.2] class A: pass [file m.py.3] class A: def f(self) -> None: pass [out] == n.py:2: error: "A" has no attribute "g" main:3: error: "A" has no attribute "f" == n.py:2: error: "A" has no attribute "g" [case testContinueToReportErrorInMethod] import m class C: def f(self, a: m.A) -> None: a.f() def g(self, a: m.A) -> None: a.g() [file m.py] class A: def f(self) -> None: pass def g(self) -> None: pass [file m.py.2] class A: pass [file m.py.3] class A: def f(self) -> None: pass [out] == main:4: error: "A" has no attribute "f" main:6: error: "A" has no attribute "g" == main:6: error: "A" has no attribute "g" [case testInitialBatchGeneratedError] import m def g() -> None: m.f() def h() -> None: m.g() [file m.py] def f(x: object) -> None: pass [file m.py.2] def f() -> None: pass [file m.py.3] def f() -> None: pass def g() -> None: pass [builtins fixtures/fine_grained.pyi] [out] main:3: error: Missing positional argument "x" in call to "f" main:5: error: Module has no attribute "g" == main:5: error: Module has no attribute "g" == [case testKeepReportingErrorIfNoChanges] import m def h() -> None: m.g() [file m.py] [file m.py.2] [builtins fixtures/fine_grained.pyi] [out] main:3: error: Module has no attribute "g" == main:3: error: Module has no attribute "g" [case testFixErrorAndReintroduce] import m def h() -> None: m.g() [file m.py] [file m.py.2] def g() -> None: pass [file m.py.3] [builtins fixtures/fine_grained.pyi] [out] main:3: error: Module has no attribute "g" == == main:3: error: Module has no attribute "g" [case testIgnoreWorksAfterUpdate] import a [file a.py] import b int() + str() # type: ignore [file b.py] x = 1 [file b.py.2] x = 2 [file b.py.3] x = 3 [delete b.py.4] [out] == == == a.py:1: error: Cannot find implementation or library stub for module named "b" a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testIgnoreWorksWithMissingImports] import a [file a.py] import b import xyz # type: ignore xyz.whatever [file b.py] x = 1 [file b.py.2] x = 2 [file b.py.3] x = 3 [file xyz.py.4] [out] == == == a.py:3: error: "object" has no attribute "whatever" [case testAddedIgnoreWithMissingImports] import a [file a.py] from b import x y: int = x [file b.py] from xyz import x [file b.py.2] from xyz import x # type: ignore [file xyz.py.3] x = str() [out] b.py:1: error: Cannot find implementation or library stub for module named "xyz" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == == a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testRemovedIgnoreWithMissingImport] import a [file a.py] from b import x y: int = x [file b.py] from xyz import x # type: ignore [file b.py.2] from xyz import x [file xyz.py.3] x = str() [out] == b.py:1: error: Cannot find implementation or library stub for module named "xyz" b.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testRemovedModuleUnderIgnore] import a [file a.py] import c from b import x # type: ignore y: int = x [file b.py] x = str() [file c.py] x = 1 [delete b.py.2] [file c.py.3] x = 3 [out] a.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") == == [case AddedModuleUnderIgnore] import a [file a.py] import c from b import x # type: ignore y: int = x [file c.py] x = 1 [file c.py.2] x = 2 [file b.py.3] # empty [out] == == [case testIgnoreInBetween] import a [file a.py] import b x: int = b.x [file b.py] import c x = c.C.x # type: ignore [file c.py] class C: pass [file c.py.2] class C: x: int [file c.py.3] # empty [file c.py.4] class C: x: str [out] == == == a.py:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testIgnoredAttrReprocessedModule] import a [file a.py] import b x = b.x # type: ignore y: int = x [file b.py] import c [file b.py.2] import c x = c.x [file c.py] x: str [out] == a.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testIgnoredAttrReprocessedBase] import a [file a.py] import b def fun() -> None: x = b.C.x # type: ignore y: int = x [file b.py] import c class C: pass [file b.py.2] import c class C(c.B): pass [file c.py] class B: x: str [out] == a.py:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testIgnoredAttrReprocessedMeta] import a [file a.py] import b def fun() -> None: x = b.C.x # type: ignore y: int = x [file b.py] import c class C: pass [file b.py.2] import c class C(metaclass=c.M): pass [file c.py] class M(type): x: str [out] == a.py:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testDataclassUpdate1] [file a.py] from dataclasses import dataclass @dataclass class A: x: int [file b.py] from dataclasses import dataclass from a import A @dataclass class B(A): y: int B(1, 2) [file a.py.2] from dataclasses import dataclass @dataclass class A: x: str [file a.py.3] from dataclasses import dataclass @dataclass class A: x: int [out] == b.py:8: error: Argument 1 to "B" has incompatible type "int"; expected "str" == [builtins fixtures/dataclasses.pyi] [case testDataclassUpdate2] [file c.py] Foo = int [file c.py.2] Foo = str [file a.py] from dataclasses import dataclass from c import Foo @dataclass class A: x: Foo [file b.py] from dataclasses import dataclass from a import A @dataclass class B(A): y: int B(1, 2) [out] == b.py:8: error: Argument 1 to "B" has incompatible type "int"; expected "str" [builtins fixtures/dataclasses.pyi] [case testDataclassUpdate3] from b import B B(1, 2) [file b.py] from a import A from dataclasses import dataclass @dataclass class B(A): b: int [file a.py] from dataclasses import dataclass @dataclass class A: a: int [file a.py.2] from dataclasses import dataclass @dataclass class A: a: int other: int [builtins fixtures/dataclasses.pyi] [out] == main:2: error: Missing positional argument "b" in call to "B" [case testDataclassUpdate4] from b import B B(1, 2) [file b.py] from a import A from dataclasses import dataclass @dataclass(frozen=True) class B(A): b: int [file a.py] from dataclasses import dataclass @dataclass(frozen=True) class A: a: int [file a.py.2] from dataclasses import dataclass @dataclass(frozen=True) class A: a: int other: int [builtins fixtures/dataclasses.pyi] [out] == main:2: error: Missing positional argument "b" in call to "B" [case testDataclassUpdate5] from b import B B(1, 2) [file b.py] from a import A from dataclasses import dataclass @dataclass class B(A): b: int [file a.py] from dataclasses import dataclass @dataclass(init=False) class A: a: int [file a.py.2] from dataclasses import dataclass @dataclass(init=False) class A: a: int other: int [file a.py.3] from dataclasses import dataclass @dataclass(init=False) class A: a: int [builtins fixtures/dataclasses.pyi] [out] == main:2: error: Missing positional argument "b" in call to "B" == [case testDataclassUpdate6] from b import B B(1, 2) < B(1, 2) [file b.py] from a import A from dataclasses import dataclass @dataclass class B(A): b: int [file a.py] from dataclasses import dataclass @dataclass(order=True) class A: a: int [file a.py.2] from dataclasses import dataclass @dataclass class A: a: int [builtins fixtures/dataclasses.pyi] [out] == main:2: error: Unsupported left operand type for < ("B") [case testDataclassUpdate8] from c import C C(1, 2, 3) [file c.py] from b import B from dataclasses import dataclass @dataclass class C(B): c: int [file b.py] from a import A from dataclasses import dataclass @dataclass class B(A): b: int [file a.py] from dataclasses import dataclass @dataclass class A: a: int [file a.py.2] from dataclasses import dataclass @dataclass class A: a: int other: int [builtins fixtures/dataclasses.pyi] [out] == main:2: error: Missing positional argument "c" in call to "C" [case testDataclassUpdate9] from c import C C(1, 2, 3) [file c.py] from b import B from dataclasses import dataclass @dataclass class C(B): c: int [file b.py] from a import A from dataclasses import dataclass @dataclass class B(A): b: int [file a.py] from dataclasses import dataclass @dataclass(init=False) class A: a: int [file a.py.2] from dataclasses import dataclass @dataclass(init=False) class A: a: int other: int [file a.py.3] from dataclasses import dataclass @dataclass(init=False) class A: a: int [builtins fixtures/dataclasses.pyi] [out] == main:2: error: Missing positional argument "c" in call to "C" == [case testAttrsUpdate1] [file a.py] import attr @attr.s class A: a = attr.ib() # type: int [file b.py] from a import A import attr @attr.s class B(A): b = attr.ib() # type: int B(1, 2) [file a.py.2] import attr @attr.s class A: a = attr.ib() # type: int other = attr.ib() # type: int [builtins fixtures/list.pyi] [out] == b.py:7: error: Missing positional argument "b" in call to "B" [case testAttrsUpdate2] from b import B B(1, 2) [file b.py] from a import A import attr @attr.s class B(A): b = attr.ib() # type: int [file a.py] import attr @attr.s(init=False) class A: a = attr.ib() # type: int [file a.py.2] import attr @attr.s(init=False) class A: a = attr.ib() # type: int other = attr.ib() # type: int [builtins fixtures/list.pyi] [out] == main:2: error: Missing positional argument "b" in call to "B" [case testAttrsUpdate3] from b import B B(1, 2) [file b.py] from a import A import attr @attr.s(auto_attribs=True) class B(A): x: int [file a.py] import attr @attr.s(auto_attribs=True, init=False) class A: a: int [file a.py.2] import attr @attr.s(auto_attribs=True, init=False) class A: a: int other: int [file a.py.3] import attr @attr.s(auto_attribs=True, init=False) class A: a: int [builtins fixtures/list.pyi] [out] == main:2: error: Missing positional argument "x" in call to "B" == [case testAttrsUpdate4] from b import B B(1, 2) < B(1, 2) [file b.py] from a import A import attr @attr.s(eq=False) class B(A): b = attr.ib() # type: int [file a.py] import attr @attr.s(init=False) class A: a = attr.ib() # type: int [file a.py.2] import attr @attr.s(eq=False, init=False) class A: a = attr.ib() # type: int [builtins fixtures/list.pyi] [out] == main:2: error: Unsupported left operand type for < ("B") [case testAttrsUpdateBaseKwOnly] from b import B B(5) [file a.py] import attr @attr.s() class A: a = attr.ib(15) # type: int [file b.py] from a import A import attr @attr.s(kw_only=True) class B(A): b = attr.ib("16") # type: str [file a.py.2] import attr @attr.s(kw_only=True) class A: a = attr.ib(15) # type: int [builtins fixtures/plugin_attrs.pyi] [out] == main:2: error: Too many positional arguments for "B" [case testAddBaseClassMethodCausingInvalidOverride] import m class B(m.A): def f(self) -> str: pass [file m.py] class A: pass [file m.py.2] class A: def f(self) -> int: pass [file n.py.3] [out] == main:3: error: Return type "str" of "f" incompatible with return type "int" in supertype "m.A" == main:3: error: Return type "str" of "f" incompatible with return type "int" in supertype "m.A" [case testModifyBaseClassMethodCausingInvalidOverride] import m class B(m.A): def f(self) -> str: pass [file m.py] class A: def f(self) -> str: pass [file m.py.2] class A: def f(self) -> int: pass [out] == main:3: error: Return type "str" of "f" incompatible with return type "int" in supertype "m.A" [case testAddBaseClassAttributeCausingErrorInSubclass] import m class B(m.A): def a(self) -> None: x = 1 if int(): x = self.x def f(self) -> None: self.x = 1 def z(self) -> None: x = 1 if int(): x = self.x [file m.py] class A: pass [file m.py.2] class A: def g(self) -> None: self.x = 'a' [out] == main:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") main:9: error: Incompatible types in assignment (expression has type "int", variable has type "str") main:14: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testChangeBaseClassAttributeType] import m class B(m.A): def f(sel) -> None: sel.x = 1 [file m.py] class A: def g(self) -> None: self.x = 1 [file m.py.2] class A: def g(self) -> None: self.x = 'a' [out] == main:4: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testRemoveAttributeInBaseClass] import m class B(m.A): def f(self) -> None: a = 1 a = self.x [file m.py] class A: def g(self) -> None: self.x = 1 [file m.py.2] class A: pass [out] == main:5: error: "B" has no attribute "x" [case testTestSignatureOfInheritedMethod] import m class B(m.A): def f(self) -> None: self.g() [file m.py] class A: def g(self) -> None: pass [file m.py.2] class A: def g(self, a: 'A') -> None: pass [out] == main:4: error: Missing positional argument "a" in call to "g" of "A" [case testRemoveBaseClass] import m class A(m.B): def f(self) -> None: self.g() self.x self.y = 1 [file m.py] class C: def g(self) -> None: self.x = 1 class B(C): pass [file m.py.2] class C: pass class B: pass [out] == main:4: error: "A" has no attribute "g" main:5: error: "A" has no attribute "x" [case testRemoveBaseClass2] import m class A(m.B): def f(self) -> None: self.g() self.x self.y = 1 [file m.py] class C: def g(self) -> None: self.x = 1 class B(C): pass [file m.py.2] class C: def g(self) -> None: self.x = 1 class B: pass [out] == main:4: error: "A" has no attribute "g" main:5: error: "A" has no attribute "x" [case testChangeInPackage] import m.n def f() -> None: m.n.g() [file m/__init__.py] [file m/n.py] def g() -> None: pass [file m/n.py.2] def g(x: int) -> None: pass [out] == main:3: error: Missing positional argument "x" in call to "g" [case testTriggerTargetInPackage] import m.n [file m/__init__.py] [file m/n.py] import a def f() -> None: a.g() [file a.py] def g() -> None: pass [file a.py.2] def g(x: int) -> None: pass [out] == m/n.py:3: error: Missing positional argument "x" in call to "g" [case testChangeInPackage__init__] import m import m.n def f() -> None: m.g() [file m/__init__.py] def g() -> None: pass [file m/__init__.py.2] def g(x: int) -> None: pass [file m/n.py] [out] == main:4: error: Missing positional argument "x" in call to "g" [case testTriggerTargetInPackage__init__] import m import m.n [file m/__init__.py] import a def f() -> None: a.g() [file a.py] def g() -> None: pass [file a.py.2] def g(x: int) -> None: pass [file m/n.py] [out] == m/__init__.py:3: error: Missing positional argument "x" in call to "g" [case testModuleAttributeTypeChanges] import m def f() -> None: x = 1 if int(): x = m.x [file m.py] x = 1 [file m.py.2] x = '' [out] == main:5: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testTwoStepsDueToModuleAttribute] import m x = m.f() def g() -> None: y = 1 if int(): y = x # E [file m.py] def f() -> int: pass [file m.py.2] def f() -> str: pass [out] == main:7: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testTwoStepsDueToMultipleNamespaces] import m x = m.f() def g() -> None: xx = 1 if int(): xx = x # E class A: def a(self) -> None: self.y = m.f() def b(self) -> None: yy = 1 if int(): yy = self.y class B: def c(self) -> None: self.z = m.f() def b(self) -> None: zz = 1 if int(): zz = self.z [file m.py] def f() -> int: pass [file m.py.2] def f() -> str: pass [out] == main:7: error: Incompatible types in assignment (expression has type "str", variable has type "int") main:15: error: Incompatible types in assignment (expression has type "str", variable has type "int") main:23: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testConstructorSignatureChanged] import m def f() -> None: m.A() [file m.py] class A: def __init__(self) -> None: pass [file m.py.2] class A: def __init__(self, x: int) -> None: pass [out] == main:4: error: Missing positional argument "x" in call to "A" [case testConstructorSignatureChanged2] from typing import Callable import m def use(x: Callable[[], m.A]) -> None: x() def f() -> None: use(m.A) [file m.py] class A: def __init__(self) -> None: pass [file m.py.2] class A: def __init__(self, x: int) -> None: pass [out] == -- This is a bad error message main:7: error: Argument 1 to "use" has incompatible type "type[A]"; expected "Callable[[], A]" [case testConstructorSignatureChanged3] from a import C class D(C): def g(self) -> None: super().__init__() D() [file a.py] class C: def __init__(self) -> None: pass [file a.py.2] class C: def __init__(self, x: int) -> None: pass [out] == main:4: error: Missing positional argument "x" in call to "__init__" of "C" main:5: error: Missing positional argument "x" in call to "D" [case testConstructorAdded] import m def f() -> None: m.A() [file m.py] class A: pass [file m.py.2] class A: def __init__(self, x: int) -> None: pass [out] == main:4: error: Missing positional argument "x" in call to "A" [case testConstructorDeleted] import m def f() -> None: m.A(1) [file m.py] class A: def __init__(self, x: int) -> None: pass [file m.py.2] class A: pass [out] == main:4: error: Too many arguments for "A" [case testBaseClassConstructorChanged] import m def f() -> None: m.B() [file m.py] class A: def __init__(self) -> None: pass class B(A): pass [file m.py.2] class A: def __init__(self, x: int) -> None: pass class B(A): pass [out] == main:4: error: Missing positional argument "x" in call to "B" [case testSuperField] from a import C class D(C): def g(self) -> int: return super().x [file a.py] class C: def __init__(self) -> None: self.x = 12 [file a.py.2] class C: def __init__(self) -> None: self.x = 'ar' [out] == main:4: error: Incompatible return value type (got "str", expected "int") [case testImportFrom] from m import f def g() -> None: f() [file m.py] def f() -> None: pass [file m.py.2] def f(x: int) -> None: pass [builtins fixtures/fine_grained.pyi] [out] == main:4: error: Missing positional argument "x" in call to "f" [case testImportFrom2] from m import f f() [file m.py] def f() -> None: pass [file m.py.2] def f(x: int) -> None: pass [out] == main:2: error: Missing positional argument "x" in call to "f" [case testImportFromTargetsClass] from m import C def f(c: C) -> None: c.g() [file m.py] class C: def g(self) -> None: pass [file m.py.2] class C: def g(self, x: int) -> None: pass [out] == main:4: error: Missing positional argument "x" in call to "g" of "C" [case testImportFromTargetsVariable] from m import x def f() -> None: y = 1 if int(): y = x [file m.py] x = 1 [file m.py.2] x = '' [out] == main:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testImportFromSubmoduleOfPackage] from m import n def f() -> None: n.g() [file m/__init__.py] [file m/n.py] def g() -> None: pass [file m/n.py.2] def g(x: int) -> None: pass [out] == main:4: error: Missing positional argument "x" in call to "g" [case testImportedFunctionGetsImported] from m import f def g() -> None: f() [file m.py] from n import f [file n.py] def f() -> None: pass [file n.py.2] def f(x: int) -> None: pass [out] == main:4: error: Missing positional argument "x" in call to "f" [case testNestedClassMethodSignatureChanges] from m import A def f(x: A.B) -> None: x.g() [file m.py] class A: class B: def g(self) -> None: pass [file m.py.2] class A: class B: def g(self, x: int) -> None: pass [out] == main:4: error: Missing positional argument "x" in call to "g" of "B" [case testNestedClassAttributeTypeChanges] from m import A def f(x: A.B) -> None: z = 1 if int(): z = x.y [file m.py] class A: class B: def g(self) -> None: self.y = 1 [file m.py.2] class A: class B: def g(self) -> None: self.y = '' [out] == main:6: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testReprocessMethodInNestedClass] from m import f class A: class B: def g(self) -> None: x = 1 if int(): x = f() [file m.py] def f() -> int: pass [file m.py.2] def f() -> str: pass [file n.py.3] [out] == main:8: error: Incompatible types in assignment (expression has type "str", variable has type "int") == main:8: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testReprocessMethodInNestedClassSemanal] import a [file a.py] class A: class B: def g() -> None: pass def foo(self) -> int: return 12 [file b.py.2] [file b.py.3] 2 [out] a.py:3: error: Method must have at least one argument. Did you forget the "self" argument? == a.py:3: error: Method must have at least one argument. Did you forget the "self" argument? == a.py:3: error: Method must have at least one argument. Did you forget the "self" argument? [case testBaseClassDeleted] import m class A(m.C): def f(self) -> None: self.g() # No error here because m.C becomes an Any base class def g(self) -> None: self.x [file m.py] class C: def g(self) -> None: pass [file m.py.2] [out] main:7: error: "A" has no attribute "x" == main:3: error: Name "m.C" is not defined [case testBaseClassOfNestedClassDeleted] import m class A: class B(m.C): def f(self) -> None: self.g() # No error here because m.C becomes an Any base class def g(self) -> None: self.x [file m.py] class C: def g(self) -> None: pass [file m.py.2] [out] main:8: error: "B" has no attribute "x" == main:4: error: Name "m.C" is not defined [case testImportQualifiedModuleName] import a [file a.py] import b.c b.c.f() [file a.py.2] import b.c b.c.f() # dummy change [file b/__init__.py] [file b/c.py] def f() -> None: pass [out] == [case testTypeAliasRefresh] from typing import Callable from a import f C = Callable[[int], str] [file a.py] def f() -> None: pass [file a.py.2] [out] == main:2: error: Module "a" has no attribute "f" [case testTypeVarRefresh] from typing import TypeVar from a import f T = TypeVar('T') [file a.py] def f() -> None: pass [file a.py.2] [out] == main:2: error: Module "a" has no attribute "f" [case testRefreshTyping] from typing import Sized from c import A import z # Force typing to get refreshed by using a protocol from it x: Sized = A() [file c.py] class D: def __len__(self) -> int: return 0 A = D [file c.py.2] class C: def __len__(self) -> int: return 0 A = C [file z.py] from typing import List T = List[int] [file z.py.2] from typing import List T = List[int] # yo [builtins fixtures/list.pyi] [typing fixtures/typing-medium.pyi] [out] == [case testNamedTupleRefresh] from typing import NamedTuple from a import f N = NamedTuple('N', [('x', int)]) [file a.py] def f() -> None: pass [file a.py.2] [builtins fixtures/tuple.pyi] [out] == main:2: error: Module "a" has no attribute "f" [case testModuleLevelAttributeRefresh] from typing import Callable from a import f x = 1 y = '' # type: str [file a.py] def f() -> None: pass [file a.py.2] [out] == main:2: error: Module "a" has no attribute "f" [case testClassBodyRefresh] from a import f class A: x = 1 y = '' # type: str def f(self) -> None: self.x = 1 [file a.py] f = 1 [file a.py.2] [out] == main:1: error: Module "a" has no attribute "f" [case testDecoratedMethodRefresh] from typing import Iterator, Callable, List, Optional from a import f import a def dec(f: Callable[['A'], Optional[Iterator[int]]]) -> Callable[['A', int], int]: pass class A: @dec def f(self) -> Optional[Iterator[int]]: self.x = a.g() # type: int return None [builtins fixtures/list.pyi] [file a.py] f = 1 def g() -> int: pass [file a.py.2] def f() -> None: pass def g() -> int: pass [file a.py.3] def f() -> None: pass def g() -> str: pass [out] == == main:10: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testTwoPassTypeChecking] import a [file a.py] [file a.py.2] class A: def __init__(self, b: B) -> None: self.a = b.a class B: def __init__(self) -> None: self.a = int() [file a.py.3] class A: def __init__(self, b: B) -> None: self.a = b.a reveal_type(self.a) # E class B: def __init__(self) -> None: self.a = int() [out] == == a.py:4: note: Revealed type is "builtins.int" [case testStripRevealType] import a reveal_type(a.f()) [file a.py] def f() -> int: pass [file a.py.2] def f() -> str: pass [out] main:2: note: Revealed type is "builtins.int" == main:2: note: Revealed type is "builtins.str" [case testDecoratorTypeAfterReprocessing] import a reveal_type(a.f()) [file a.py] from contextlib import contextmanager from typing import Iterator import b @contextmanager def f() -> Iterator[None]: yield [file b.py] [delete b.py.2] [file b.py.3] [typing fixtures/typing-medium.pyi] [builtins fixtures/list.pyi] [triggered] 2: , , __main__ 3: , , __main__, a [out] main:2: note: Revealed type is "contextlib.GeneratorContextManager[None]" == main:2: note: Revealed type is "contextlib.GeneratorContextManager[None]" a.py:3: error: Cannot find implementation or library stub for module named "b" a.py:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == main:2: note: Revealed type is "contextlib.GeneratorContextManager[None]" [case testDecoratorSpecialCase1] import a [file a.py] import contextlib from typing import List, Iterator @contextlib.contextmanager def f(x: List[int]) -> Iterator[None]: x.append(1) yield def g() -> None: import b b.h(1) [file b.py] def h() -> None: pass [delete b.py.2] [file b.py.3] def h() -> None: pass [file a.py.4] import contextlib from typing import List, Iterator @contextlib.contextmanager def f(x: List[int]) -> Iterator[None]: x.append(1) yield def g() -> None: import b b.h(1) pass [typing fixtures/typing-medium.pyi] [builtins fixtures/list.pyi] [triggered] 2: , , , a.g 3: , , , a 4: a.g [out] a.py:11: error: Too many arguments for "h" == a.py:10: error: Cannot find implementation or library stub for module named "b" a.py:10: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == a.py:11: error: Too many arguments for "h" == a.py:11: error: Too many arguments for "h" [case testDecoratorSpecialCase2] import a [file a.py] from contextlib import contextmanager from typing import Iterator, List import b @contextmanager def f(x: List[int]) -> Iterator[None]: x.append(1) yield [file b.py] [delete b.py.2] [file b.py.3] [file a.py.4] from contextlib import contextmanager from typing import Iterator, List import b @contextmanager def f(x: List[int]) -> Iterator[None]: x.append(1) yield [typing fixtures/typing-medium.pyi] [builtins fixtures/list.pyi] [out] == a.py:3: error: Cannot find implementation or library stub for module named "b" a.py:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports == == [case testDecoratorMethodCompat] from typing import Callable, List, TypeVar import x class Base: pass _Base = TypeVar('_Base', bound=Base) def dec(f: Callable[[_Base], int]) -> Callable[[_Base], List[int]]: pass class B(Base): def foo(self) -> List[int]: pass class A(B): @dec def foo(self) -> int: x.lol() return 12 [file x.py] def lol() -> str: pass [file x.py.2] def lol() -> int: pass [file x.py.3] def lol() -> str: pass [builtins fixtures/list.pyi] [out] == == [case testPreviousErrorInDecoratedFunction] import a [file a.py] from typing import Callable import b def dec(x: Callable[[], None]) -> Callable[[], None]: return x @dec def f() -> None: 1 + '' [file b.py] [file b.py.2] 1 [file b.py.3] 2 [file a.py.4] from typing import Callable import b def dec(f: Callable[[], None]) -> Callable[[], None]: return f @dec def f() -> None: 1 + 2 [out] a.py:9: error: Unsupported operand types for + ("int" and "str") == a.py:9: error: Unsupported operand types for + ("int" and "str") == a.py:9: error: Unsupported operand types for + ("int" and "str") == [case testPreviousErrorInDecoratedMethodOverride] import a [file a.py] from typing import Callable from b import B def dec(x: Callable[['A'], int]) -> Callable[['A'], int]: return x class A(B): @dec def foo(self) -> int: return 12 [file b.py] class B: def foo(self) -> str: return 'hi' [file c.py.2] [file c.py.3] 1 [file b.py.4] class B: def foo(self) -> int: return 12 [out] a.py:9: error: Return type "int" of "foo" incompatible with return type "str" in supertype "b.B" == a.py:9: error: Return type "int" of "foo" incompatible with return type "str" in supertype "b.B" == a.py:9: error: Return type "int" of "foo" incompatible with return type "str" in supertype "b.B" == [case testPreviousErrorInMethodSemanal1] import a [file a.py] class A: def foo() -> int: pass [file c.py.2] [file c.py.3] 1 [file a.py.4] class A: def foo(self) -> int: pass [out] a.py:2: error: Method must have at least one argument. Did you forget the "self" argument? == a.py:2: error: Method must have at least one argument. Did you forget the "self" argument? == a.py:2: error: Method must have at least one argument. Did you forget the "self" argument? == [case testPreviousErrorInMethodSemanal2] import a [file a.py] class A: def foo(self) -> None: nothing [file c.py.2] [file c.py.3] 1 [file a.py.4] class A: def foo(self) -> int: pass [out] a.py:3: error: Name "nothing" is not defined == a.py:3: error: Name "nothing" is not defined == a.py:3: error: Name "nothing" is not defined == [case testPreviousErrorInMethodSemanalPass3] import a [file a.py] from typing import List class A: def __init__(self) -> None: self.x = [] # type: List[int, str] [file c.py.2] [file c.py.3] 1 [file a.py.4] from typing import List class A: def __init__(self) -> None: self.x = [] # type: List[int] [builtins fixtures/list.pyi] [out] a.py:4: error: "list" expects 1 type argument, but 2 given == a.py:4: error: "list" expects 1 type argument, but 2 given == a.py:4: error: "list" expects 1 type argument, but 2 given == [case testPreviousErrorInOverloadedFunctionSemanalPass3] import a [file a.py] from typing import overload, List @overload def f(x: str) -> None: ... @overload def f(x: int) -> List[int, str]: ... def f(x: object) -> object: pass [file c.py.2] [file c.py.3] 1 [file a.py.4] from typing import overload, List @overload def f(x: str) -> None: ... @overload def f(x: int) -> List[int]: ... def f(x: object) -> object: pass [builtins fixtures/list.pyi] [out] a.py:5: error: "list" expects 1 type argument, but 2 given == a.py:5: error: "list" expects 1 type argument, but 2 given == a.py:5: error: "list" expects 1 type argument, but 2 given == [case testPreviousErrorInOverloadedFunction] import a [file a.py] from typing import overload @overload def f(x: str) -> None: ... @overload def f(x: int) -> int: ... def f(x: object) -> None: pass [file b.py] [file b.py.2] 1 [file b.py.3] 2 [file a.py.4] from typing import overload @overload def f(x: str) -> None: ... @overload def f(x: int) -> None: ... def f(x: object) -> None: pass [out] a.py:6: error: Overloaded function implementation cannot produce return type of signature 2 == a.py:6: error: Overloaded function implementation cannot produce return type of signature 2 == a.py:6: error: Overloaded function implementation cannot produce return type of signature 2 == [case testPreviousErrorInOverloadedFunctionSemanal] import a [file a.py] from typing import overload @overload def f(x: str) -> None: ... @overload def f(x: int) -> None: ... [file b.py] [file b.py.2] 1 [file b.py.3] 2 [file a.py.4] from typing import overload @overload def f(x: str) -> None: ... @overload def f(x: int) -> None: ... def f(x: object) -> None: pass [out] a.py:2: error: An overloaded function outside a stub file must have an implementation == a.py:2: error: An overloaded function outside a stub file must have an implementation == a.py:2: error: An overloaded function outside a stub file must have an implementation == [case testPreviousErrorInDecoratedMethodSemanalPass3] import a [file a.py] from typing import Callable, TypeVar, Any, List T = TypeVar('T', bound=Callable) def dec(x: T) -> T: return x @dec def foo(self) -> List[str, int]: return [] [file c.py.2] [file c.py.3] [file a.py.4] from typing import Callable, TypeVar, Any, List T = TypeVar('T', bound=Callable[..., Any]) def dec(x: T) -> T: return x @dec def foo(self) -> List[str]: return [] [builtins fixtures/list.pyi] [out] a.py:8: error: "list" expects 1 type argument, but 2 given == a.py:8: error: "list" expects 1 type argument, but 2 given == a.py:8: error: "list" expects 1 type argument, but 2 given == [case testDecoratorUpdateMod] import a [file a.py] import mod @mod.deca @mod.decb(mod.C()) def func(x: mod.B) -> mod.B: x.x return x [file mod.py] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[B], B]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: x: int [file mod.py.2] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[str], str]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: x: int [file mod.py.3] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[B], B]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: y: int [file mod.py.4] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[B], B]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: def __init__(self, x: int) -> None: pass class B: x: int [out] == a.py:3: error: Argument 1 to "deca" has incompatible type "Callable[[B], B]"; expected "Callable[[str], str]" == a.py:6: error: "B" has no attribute "x" == a.py:4: error: Missing positional argument "x" in call to "C" [case testDecoratorUpdateFunc] import a [file a.py] import mod def outer() -> None: @mod.deca @mod.decb(mod.C()) def func(x: mod.B) -> mod.B: x.x return x [file mod.py] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[B], B]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: x: int [file mod.py.2] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[str], str]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: x: int [file mod.py.3] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[B], B]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: y: int [file mod.py.4] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[[B], B]) -> Callable[[str], str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: def __init__(self, x: int) -> None: pass class B: x: int [out] == a.py:4: error: Argument 1 to "deca" has incompatible type "Callable[[B], B]"; expected "Callable[[str], str]" == a.py:7: error: "B" has no attribute "x" == a.py:5: error: Missing positional argument "x" in call to "C" [case DecoratorUpdateMethod] import a [file a.py] import mod class D: @mod.deca @mod.decb(mod.C()) def func(self, x: mod.B) -> mod.B: x.x return x [file mod.py] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[..., B]) -> Callable[..., str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: x: int [file mod.py.2] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[..., str]) -> Callable[..., str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: x: int [file mod.py.3] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[..., B]) -> Callable[..., str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: pass class B: y: int [file mod.py.4] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deca(func: Callable[..., B]) -> Callable[..., str]: pass def decb(arg: C) -> Callable[[F], F]: pass class C: def __init__(self, x: int) -> None: pass class B: x: int [out] == a.py:4: error: Argument 1 to "deca" has incompatible type "Callable[[D, B], B]"; expected "Callable[..., str]" == a.py:7: error: "B" has no attribute "x" == a.py:5: error: Missing positional argument "x" in call to "C" [case testDecoratorUpdateDeepNested] import a [file a.py] import mod def outer() -> None: def inner() -> None: @mod.dec def func(x: int) -> int: pass [file mod.py] from typing import Callable def dec(func: Callable[[int], int]) -> Callable[[str], str]: pass [file mod.py.2] from typing import Callable def dec(func: Callable[[str], str]) -> Callable[[str], str]: pass [out] == a.py:5: error: Argument 1 to "dec" has incompatible type "Callable[[int], int]"; expected "Callable[[str], str]" [case testDecoratorUpdateNestedClass] import a [file a.py] import mod class Outer: class Inner: c = mod.C() @c.dec def func(self, x: int) -> int: pass [file mod.py] from typing import Callable class C: def dec(self, func: Callable[..., int]) -> Callable[..., str]: pass [file mod.py.2] from typing import Callable class C: def dec(self, func: Callable[..., str]) -> Callable[..., str]: pass [out] == a.py:6: error: Argument 1 to "dec" of "C" has incompatible type "Callable[[Inner, int], int]"; expected "Callable[..., str]" [case testDecoratorUpdateClassInFunction] import a [file a.py] import mod def outer() -> None: class Inner: c = mod.C() @c.dec def func(self, x: mod.B) -> int: return x.x [file mod.py] from typing import Callable class C: def dec(self, func: Callable[..., int]) -> Callable[..., str]: pass class B: x: int [file mod.py.2] from typing import Callable class C: def dec(self, func: Callable[..., str]) -> Callable[..., str]: pass class B: x: int [file mod.py.3] from typing import Callable class C: def dec(self, func: Callable[..., int]) -> Callable[..., str]: pass class B: x: str [out] == a.py:6: error: Argument 1 to "dec" of "C" has incompatible type "Callable[[Inner, B], int]"; expected "Callable[..., str]" == a.py:8: error: Incompatible return value type (got "str", expected "int") [case testDecoratorUpdateMROUpdated] import a [file a.py] import mod @mod.dec def func(x: mod.B) -> int: pass [file mod.py] from typing import Callable class B: pass class C(B): pass def dec(f: Callable[[C], int]) -> Callable[[int], int]: pass [file mod.py.2] from typing import Callable class B: pass class C: pass def dec(f: Callable[[C], int]) -> Callable[[int], int]: pass [out] == a.py:3: error: Argument 1 to "dec" has incompatible type "Callable[[B], int]"; expected "Callable[[C], int]" [case testOverloadRefresh] from typing import overload import m @overload def f(x: m.A) -> None: ... @overload def f(x: int) -> None: ... def f(x: object) -> None: from n import g [file m.py] class A: pass [file n.py] def g() -> None: pass [delete m.py.2] [delete n.py.2] [out] == main:2: error: Cannot find implementation or library stub for module named "m" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:7: error: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader main:9: error: Cannot find implementation or library stub for module named "n" [case testOverloadSpecialCase] from typing import overload import m import sys class C: if sys.platform == 'nonexistent': def f(self, x): pass else: @overload def f(self, x: m.A) -> None: pass @overload def f(self, x: int) -> None: pass def f(self, x: object) -> None: from n import g [file m.py] class A: pass [file n.py] def g() -> None: pass [delete m.py.2] [delete n.py.2] [builtins fixtures/ops.pyi] [out] == main:2: error: Cannot find implementation or library stub for module named "m" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:12: error: Overloaded function signature 2 will never be matched: signature 1's parameter type(s) are the same or broader main:14: error: Cannot find implementation or library stub for module named "n" [case testOverloadClassmethodDisappears] from typing import overload from m import Wrapper reveal_type(Wrapper.foo(3)) [file m.pyi] from typing import overload class Wrapper: @overload @classmethod def foo(self, x: int) -> int: ... @overload @classmethod def foo(self, x: str) -> str: ... [file m.pyi.2] from typing import overload class Wrapper: @overload def foo(cls, x: int) -> int: ... @overload def foo(cls, x: str) -> str: ... [builtins fixtures/classmethod.pyi] [out] main:3: note: Revealed type is "builtins.int" == main:3: error: No overload variant of "foo" of "Wrapper" matches argument type "int" main:3: note: Possible overload variants: main:3: note: def foo(cls: Wrapper, x: int) -> int main:3: note: def foo(cls: Wrapper, x: str) -> str main:3: note: Revealed type is "Any" [case testRefreshGenericClass] from typing import TypeVar, Generic from a import A X = TypeVar('X') class C(Generic[X]): def f(self, x: A) -> X: ... [file a.py] class A: pass [file a.py.2] [file a.py.3] class A: pass [out] == main:2: error: Module "a" has no attribute "A" == [case testRefreshGenericAndFailInPass3] # Failure in semantic analysis pass 3 from a import C a: C[int] [file a.py] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): pass [file a.py.2] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') class C(Generic[T, S]): pass [file a.py.3] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): pass [out] == main:3: error: "C" expects 2 type arguments, but 1 given == [case testUnannotatedClass] import a [file a.py] class A: def f(self, x): self.y = x self.g() def g(self): pass [file a.py.2] class A: def f(self, x, y): self.y = x self.z = y self.g() def g(self): pass [triggered] 2: , , [out] == [case testSuperBasics] import a [file a.py] class A: def f(self) -> None: pass class B(A): def f(self) -> None: super(B, self).f() [file a.py.2] class A: def f(self) -> None: pass class B(A): def f(self) -> None: super(B, self).f() [out] == [case testErrorInTypeCheckSecondPassThroughPropagation] import a def f() -> None: x = a.C() [file a.py] [file a.py.2] from typing import Generic, TypeVar T = TypeVar('T') class C(Generic[T]): pass [out] main:4: error: "object" has no attribute "C" == main:4: error: Need type annotation for "x" [case testPartialTypeInNestedClass] import a class C: def f(self) -> None: a.g() class D: def __init__(self) -> None: self.x = {} def meth(self) -> None: self.x['a'] = 'b' [file a.py] def g() -> None: pass [file a.py.2] def g() -> int: pass [builtins fixtures/dict.pyi] [out] main:7: error: Need type annotation for "x" (hint: "x: dict[, ] = ...") == main:7: error: Need type annotation for "x" (hint: "x: dict[, ] = ...") [case testRefreshPartialTypeInClass] import a class D: def __init__(self) -> None: a.g() self.x = {} def meth(self) -> None: self.x['a'] = 'b' [file a.py] def g() -> None: pass [file a.py.2] def g() -> int: pass [builtins fixtures/dict.pyi] [out] main:5: error: Need type annotation for "x" (hint: "x: dict[, ] = ...") == main:5: error: Need type annotation for "x" (hint: "x: dict[, ] = ...") [case testRefreshPartialTypeInferredAttributeIndex] from c import C reveal_type(C().a) [file c.py] from b import f class C: def __init__(self) -> None: self.a = {} if bool(): self.a[0] = f() [file b.py] def f() -> int: ... [file b.py.2] from typing import List def f() -> str: ... [builtins fixtures/dict.pyi] [out] main:2: note: Revealed type is "builtins.dict[builtins.int, builtins.int]" == main:2: note: Revealed type is "builtins.dict[builtins.int, builtins.str]" [case testRefreshPartialTypeInferredAttributeAssign] from c import C reveal_type(C().a) [file c.py] from b import f class C: def __init__(self) -> None: self.a = [] if bool(): self.a = f() [file b.py] from typing import List def f() -> List[int]: ... [file b.py.2] from typing import List def f() -> List[str]: ... [builtins fixtures/list.pyi] [out] main:2: note: Revealed type is "builtins.list[builtins.int]" == main:2: note: Revealed type is "builtins.list[builtins.str]" [case testRefreshPartialTypeInferredAttributeAppend] from c import C reveal_type(C().a) [file c.py] from b import f class C: def __init__(self) -> None: self.a = [] if bool(): self.a.append(f()) [file b.py] def f() -> int: ... [file b.py.2] def f() -> str: ... [builtins fixtures/list.pyi] [out] main:2: note: Revealed type is "builtins.list[builtins.int]" == main:2: note: Revealed type is "builtins.list[builtins.str]" [case testRefreshTryExcept] import a def f() -> None: a.g() try: pass except BaseException as e: e [file a.py] def g() -> int: pass [file a.py.2] def g() -> str: pass [builtins fixtures/exception.pyi] [out] == [case testMroSpecialCase] import b import a [file a.py] class C: pass class D(C): 1() class E(D): pass [file b.py] import a [file a.py.2] class C: pass class D(C): 1() class E(D): pass # Something needs to change [file b.py.2] import a # Something needs to change [triggered] 2: a, a [out] a.py:3: error: "int" not callable == a.py:3: error: "int" not callable [case testMetaclassAttributes] import a [file a.py] from mod import C from typing import Type def f(arg: Type[C]) -> None: arg.x = int() [file mod.py] import submod class C(metaclass=submod.M): pass [file submod.py] class M(type): x: int [file submod.py.2] class M(type): x: str [file submod.py.3] class M(type): y: str [file submod.py.4] class M(type): x: int [out] == a.py:4: error: Incompatible types in assignment (expression has type "int", variable has type "str") == a.py:4: error: "type[C]" has no attribute "x" == [case testMetaclassAttributesDirect] import a [file a.py] from mod import C def f() -> None: C.x = int() [file mod.py] import submod class C(metaclass=submod.M): pass [file submod.py] class M(type): x: int [file submod.py.2] class M(type): x: str [file submod.py.3] class M(type): y: str [file submod.py.4] class M(type): x: int [out] == a.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") == a.py:3: error: "type[C]" has no attribute "x" == [case testMetaclassOperators] import a [file a.py] from mod import C from typing import Type def f(arg: Type[C]) -> None: arg + arg [file mod.py] import submod class C(metaclass=submod.M): pass [file submod.py] class M(type): def __add__(self, other: M) -> M: pass [file submod.py.2] class M(type): def __add__(self, other: int) -> M: pass [out] == a.py:4: error: Unsupported operand types for + ("type[C]" and "type[C]") [case testMetaclassOperatorsDirect] import a [file a.py] from mod import C def f() -> None: C + C [file mod.py] import submod class C(metaclass=submod.M): pass [file submod.py] class M(type): def __add__(self, other: int) -> M: pass [file submod.py.2] class M(type): def __add__(self, other: M) -> M: pass [out] a.py:3: error: Unsupported operand types for + ("type[C]" and "type[C]") == [case testFineMetaclassUpdate] import a [file a.py] from c import M import b def f(arg: M) -> None: pass f(b.B) [file b.py] import c class B: pass [file b.py.2] import c class B(metaclass=c.M): pass [file c.py] class M(type): pass [out] a.py:6: error: Argument 1 to "f" has incompatible type "type[B]"; expected "M" == [case testFineMetaclassRecalculation] import a [file a.py] from b import B class M2(type): pass class D(B, metaclass=M2): pass [file b.py] import c class B: pass [file b.py.2] import c class B(metaclass=c.M): pass [file c.py] class M(type): pass [out] == a.py:3: error: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases a.py:3: note: "a.M2" (metaclass of "a.D") conflicts with "c.M" (metaclass of "b.B") [case testFineMetaclassDeclaredUpdate] import a [file a.py] import b class B(metaclass=b.M): pass class D(B, metaclass=b.M2): pass [file b.py] class M(type): pass class M2(M): pass [file b.py.2] class M(type): pass class M2(type): pass [out] == a.py:3: error: Metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases a.py:3: note: "b.M2" (metaclass of "a.D") conflicts with "b.M" (metaclass of "a.B") [case testFineMetaclassRemoveFromClass] import a [file a.py] import b def func() -> int: return b.B.x [file b.py] from c import M class B(metaclass=M): pass [file b.py.2] from c import M class B: pass [file c.py] class M(type): x: int [out] == a.py:3: error: "type[B]" has no attribute "x" [case testFineMetaclassRemoveFromClass2] import a [file a.py] import b def func() -> None: b.test(b.B) [file b.py] import c def test(cls: c.M) -> None: pass class B(metaclass=c.M): pass [file b.py.2] import c def test(cls: c.M) -> None: pass class B: pass [file c.py] class M(type): x: int [out] == a.py:3: error: Argument 1 to "test" has incompatible type "type[B]"; expected "M" [case testBadMetaclassCorrected] import a [file a.py] import b class C(metaclass=b.M): pass [file b.py] from c import M [file c.py] M = 1 [file c.py.2] class M(type): pass [out] a.py:2: error: Invalid metaclass "b.M" == [case testFixedAttrOnAddedMetaclass] import a [file a.py] import b def fun() -> None: x: int = b.C.x [file b.py] import c class C: pass [file b.py.2] import c class C(metaclass=c.M): pass [file c.py] class M(type): x: int [out] a.py:3: error: "type[C]" has no attribute "x" == [case testIndirectSubclassReferenceMetaclass] import a [file a.py] import b def f() -> None: b.x = int() [file b.py] import bb x = bb.D.x [file bb.py] import mod class D(mod.C): pass [file mod.py] import submod class C(metaclass=submod.M): pass [file submod.py] class M(type): x: int [file submod.py.2] class M(type): x: str [file submod.py.3] class M(type): y: str [file submod.py.4] class M(type): x: int [out] == a.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") == b.py:2: error: "type[D]" has no attribute "x" == [case testMetaclassDeletion] import a [file a.py] import b def func() -> None: b.B.x [file b.py] import c class B(metaclass=c.M): pass [file c.py] class M(type): x: int [file c.py.2] whatever: int [out] == b.py:2: error: Name "c.M" is not defined [case testFixMissingMetaclass] import a [file a.py] import b def func() -> None: b.B.x [file b.py] import c class B(metaclass=c.M): pass [file c.py] whatever: int [file c.py.2] class M(type): x: int [out] b.py:2: error: Name "c.M" is not defined == [case testGoodMetaclassSpoiled] import a [file a.py] import b class C(metaclass=b.M): pass [file b.py] class M(type): pass [file b.py.2] M = 1 [out] == a.py:2: error: Invalid metaclass "b.M" [case testRefreshGenericSubclass] from typing import Generic, TypeVar import m m.x T = TypeVar('T') class C(Generic[T]): def __init__(self, x: T) -> None: pass class D(C[T]): def __init__(self, x: T) -> None: m.x super(D, self).__init__(x) [file m.py] x = 0 [file m.py.2] x = '' [out] == [case testRefreshNamedTupleSubclass] from typing import NamedTuple import m m.x N = NamedTuple('N', [('x', int)]) class C(N): pass [file m.py] x = 0 [file m.py.2] x = '' [builtins fixtures/tuple.pyi] [out] == [case testNewTypeRefresh] import a [file a.py] from typing import Dict, NewType class A: pass N = NewType('N', A) a: Dict[N, int] def f(self, x: N) -> None: a.get(x) [file a.py.2] from typing import Dict, NewType # dummy change class A: pass N = NewType('N', A) a: Dict[N, int] def f(self, x: N) -> None: a.get(x) [builtins fixtures/dict.pyi] [out] == [case testRefreshFunctionalEnum] import a [file a.py] from typing import Dict from enum import Enum N = Enum('N', 'x') a: Dict[N, int] def f(self, x: N) -> None: a.get(x) [file a.py.2] from typing import Dict from enum import Enum N = Enum('N', 'x') a: Dict[N, int] def f(self, x: N) -> None: a.get(x) [builtins fixtures/dict.pyi] [out] == [case testFineGrainedCallable] import a [file a.py] def f(o: object) -> None: if callable(o): o() [file a.py.2] def f(o: object) -> None: if callable(o): o() [builtins fixtures/callable.pyi] [out] == [case testRefreshFunctionalNamedTuple] import a [file a.py] from typing import NamedTuple from b import L A = NamedTuple('A', []) a: A def g() -> None: x = L(A()) x.f(a) [file b.pyi] from typing import TypeVar, Generic, overload T = TypeVar('T') class L(Generic[T]): def __init__(self, x: T) -> None: pass @overload def f(self) -> None: pass @overload def f(self, a: T) -> None: pass [file a.py.2] from typing import NamedTuple from b import L A = NamedTuple('A', []) a: A def g() -> None: x = L(A()) x.f(a) [builtins fixtures/tuple.pyi] [out] == [case testRefreshSubclassNestedInFunction1] from a import C def f() -> None: class D(C): pass [file a.py] class C: pass [file a.py.2] [out] == main:1: error: Module "a" has no attribute "C" [case testRefreshSubclassNestedInFunction2] from a import C def f() -> None: class D(C): def g(self) -> None: super().__init__() d = D() [file a.py] class C: def __init__(self) -> None: pass [file a.py.2] class C: def __init__(self, x: int) -> None: pass [out] == main:5: error: Missing positional argument "x" in call to "__init__" of "C" main:6: error: Missing positional argument "x" in call to "D" [case testInferAttributeTypeAndMultipleStaleTargets] import a class A: def g(self) -> None: a.x self.x = 1 def f(self) -> None: a.x b = self.x self.x = 1 [file a.py] x = 0 [file a.py.2] x = '' [out] == [case testNamedTupleUpdate] import b [file a.py] from typing import NamedTuple N = NamedTuple('N', [('x', int)]) x = N(1) [file a.py.2] from typing import NamedTuple N = NamedTuple('N', [('x', str)]) x = N('hi') [file b.py] import a def f(x: a.N) -> None: pass f(a.x) [builtins fixtures/tuple.pyi] [out] == [case testNamedTupleUpdate2] import b [file a.py] from typing import NamedTuple N = NamedTuple('N', [('x', int)]) x = N(1) [file a.py.2] from typing import NamedTuple N = NamedTuple('N', [('y', int)]) x = N(2) [file b.py] import a def f(x: a.N) -> None: pass f(a.x) [builtins fixtures/tuple.pyi] [out] == [case testNamedTupleUpdate3] import c [file a.py] from typing import NamedTuple N = NamedTuple('N', [('x', int)]) x = N(1) [file a.py.2] from typing import NamedTuple N = NamedTuple('N', [('x', str)]) x = N('hi') [file b.py] import a from typing import NamedTuple M = NamedTuple('M', [('z', 'a.N')]) x = M(a.x) [file c.py] import a import b from typing import Tuple def lol(n: Tuple[Tuple[int]]) -> None: pass def f(x: b.M) -> None: lol(x) f(b.x) lol(b.x) [builtins fixtures/tuple.pyi] [out] == c.py:7: error: Argument 1 to "lol" has incompatible type "M"; expected "tuple[tuple[int]]" c.py:9: error: Argument 1 to "lol" has incompatible type "M"; expected "tuple[tuple[int]]" [case testNamedTupleUpdate4] import b [file a.py] from typing import NamedTuple class N(NamedTuple): x: int x = N(1) [file a.py.2] from typing import NamedTuple class N(NamedTuple): x: str x = N('hi') [file b.py] import a def f(x: a.N) -> None: pass f(a.x) [builtins fixtures/tuple.pyi] [out] == [case testNamedTupleUpdate5] import b [file a.py] from typing import NamedTuple, Optional class N(NamedTuple): r: Optional[N] x: int x = N(None, 1) [file a.py.2] from typing import NamedTuple, Optional class N(NamedTuple): r: Optional[N] x: str x = N(None, 'hi') [file b.py] import a def f(x: a.N) -> None: pass f(a.x) [builtins fixtures/tuple.pyi] [out] == [case testNamedTupleUpdateGeneric] import b [file a.py] from typing import NamedTuple class Point(NamedTuple): x: int y: int [file a.py.2] from typing import Generic, TypeVar, NamedTuple T = TypeVar("T") class Point(NamedTuple, Generic[T]): x: int y: T [file b.py] from a import Point def foo() -> None: p = Point(x=0, y=1) i: int = p.y [file b.py.3] from a import Point def foo() -> None: p = Point(x=0, y="no") i: int = p.y [builtins fixtures/tuple.pyi] [out] == == b.py:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testNamedTupleUpdateNonRecursiveToRecursiveFine] import c [file a.py] from b import M from typing import NamedTuple, Optional class N(NamedTuple): r: Optional[M] x: int n: N [file b.py] from a import N from typing import NamedTuple class M(NamedTuple): r: None x: int [file b.py.2] from a import N from typing import NamedTuple, Optional class M(NamedTuple): r: Optional[N] x: int [file c.py] import a def f(x: a.N) -> None: if x.r is not None: s: int = x.r.x [file c.py.3] import a def f(x: a.N) -> None: if x.r is not None and x.r.r is not None and x.r.r.r is not None: reveal_type(x) s: int = x.r.r.r.r f(a.n) reveal_type(a.n) [builtins fixtures/tuple.pyi] [out] == == c.py:4: note: Revealed type is "tuple[Union[tuple[Union[tuple[Union[..., None], builtins.int, fallback=a.N], None], builtins.int, fallback=b.M], None], builtins.int, fallback=a.N]" c.py:5: error: Incompatible types in assignment (expression has type "Optional[N]", variable has type "int") c.py:7: note: Revealed type is "tuple[Union[tuple[Union[tuple[Union[..., None], builtins.int, fallback=a.N], None], builtins.int, fallback=b.M], None], builtins.int, fallback=a.N]" [case testTupleTypeUpdateNonRecursiveToRecursiveFine] import c [file a.py] from b import M from typing import Tuple, Optional class N(Tuple[Optional[M], int]): ... [file b.py] from a import N from typing import Tuple class M(Tuple[None, int]): ... [file b.py.2] from a import N from typing import Tuple, Optional class M(Tuple[Optional[N], int]): ... [file c.py] import a def f(x: a.N) -> None: if x[0] is not None: s: int = x[0][1] [file c.py.3] import a def f(x: a.N) -> None: if x[0] is not None and x[0][0] is not None and x[0][0][0] is not None: reveal_type(x) s: int = x[0][0][0][0] [builtins fixtures/tuple.pyi] [out] == == c.py:4: note: Revealed type is "tuple[Union[tuple[Union[..., None], builtins.int, fallback=b.M], None], builtins.int, fallback=a.N]" c.py:5: error: Incompatible types in assignment (expression has type "Optional[N]", variable has type "int") [case testTypeAliasUpdateNonRecursiveToRecursiveFine] import c [file a.py] from b import M from typing import Tuple, Optional N = Tuple[Optional[M], int] [file b.py] from a import N from typing import Tuple M = Tuple[None, int] [file b.py.2] from a import N from typing import Tuple, Optional M = Tuple[Optional[N], int] [file c.py] import a def f(x: a.N) -> None: if x[0] is not None: s: int = x[0][1] [file c.py.3] import a def f(x: a.N) -> None: if x[0] is not None and x[0][0] is not None and x[0][0][0] is not None: reveal_type(x) s: int = x[0][0][0][0] [builtins fixtures/tuple.pyi] [out] == == c.py:4: note: Revealed type is "tuple[Union[tuple[Union[..., None], builtins.int], None], builtins.int]" c.py:5: error: Incompatible types in assignment (expression has type "Optional[N]", variable has type "int") [case testTypedDictRefresh] import a [file a.py] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(dict(x=42, y=1337)) [file a.py.2] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(dict(x=42, y=1337)) # dummy change [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == [case testTypedDictUpdate] import b [file a.py] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(dict(x=42, y=1337)) [file a.py.2] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': str}) p = Point(dict(x=42, y='lurr')) [file b.py] from a import Point def foo(x: Point) -> int: return x['x'] + x['y'] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == b.py:3: error: Unsupported operand types for + ("int" and "str") [case testTypedDictUpdate2] import b [file a.py] from typing import TypedDict class Point(TypedDict): x: int y: int p = Point(dict(x=42, y=1337)) [file a.py.2] from typing import TypedDict class Point(TypedDict): x: int y: str p = Point(dict(x=42, y='lurr')) [file b.py] from a import Point def foo(x: Point) -> int: return x['x'] + x['y'] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == b.py:3: error: Unsupported operand types for + ("int" and "str") [case testTypedDictUpdate3] import b [file a.py] from typing import Optional, TypedDict class Point(TypedDict): x: Optional[Point] y: int z: int p = Point(dict(x=None, y=1337, z=0)) [file a.py.2] from typing import Optional, TypedDict class Point(TypedDict): x: Optional[Point] y: str z: int p = Point(dict(x=None, y='lurr', z=0)) [file b.py] from a import Point def foo(x: Point) -> int: assert x['x'] is not None return x['x']['z'] + x['x']['y'] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == b.py:4: error: Unsupported operand types for + ("int" and "str") [case testTypedDictUpdateGeneric] import b [file a.py] from typing import TypedDict class Point(TypedDict): x: int y: int [file a.py.2] from typing import Generic, TypedDict, TypeVar T = TypeVar("T") class Point(TypedDict, Generic[T]): x: int y: T [file b.py] from a import Point def foo() -> None: p = Point(x=0, y=1) i: int = p["y"] [file b.py.3] from a import Point def foo() -> None: p = Point(x=0, y="no") i: int = p["y"] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == == b.py:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testTypedDictUpdateReadOnly] import b [file a.py] from typing import TypedDict from typing_extensions import ReadOnly Point = TypedDict('Point', {'x': int, 'y': int}) p = Point(x=1, y=2) [file a.py.2] from typing import TypedDict from typing_extensions import ReadOnly class Point(TypedDict): x: int y: ReadOnly[int] p = Point(x=1, y=2) [file a.py.3] from typing import TypedDict from typing_extensions import ReadOnly Point = TypedDict('Point', {'x': ReadOnly[int], 'y': int}) p = Point(x=1, y=2) [file b.py] from a import Point def foo(x: Point) -> None: x['x'] = 1 x['y'] = 2 [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == b.py:4: error: ReadOnly TypedDict key "y" TypedDict is mutated == b.py:3: error: ReadOnly TypedDict key "x" TypedDict is mutated [case testBasicAliasUpdate] import b [file a.py] N = int x = 1 [file a.py.2] N = str x = 'hi' [file b.py] import a def f(x: a.N) -> None: pass f(a.x) [out] == [case testBasicAliasUpdateGeneric] import b [file a.py] from typing import Dict, TypeVar T = TypeVar('T') D = Dict[int, T] x = {1: 1} [file a.py.2] from typing import Dict, TypeVar T = TypeVar('T') D = Dict[str, T] x = {'hi': 1} [file b.py] import a def f(x: a.D[int]) -> None: pass f(a.x) [builtins fixtures/dict.pyi] [out] == [case testAliasFineNormalMod] import b [file a.py] A = int [file a.py.2] A = str [file b.py] import a x: a.A = int() [out] == b.py:2: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAliasFineNormalFunc] import b [file a.py] A = int [file a.py.2] A = str [file b.py] import a def f(x: a.A): if int(): x = int() [out] == b.py:4: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAliasFineNormalClass] import b [file a.py] A = int [file a.py.2] A = str [file b.py] import a class C: x: a.A c = C() c.x = int() [out] == b.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAliasFineNormalClassBases] import b [file a.py] import c A = c.BaseI [file a.py.2] import c A = c.BaseS [file b.py] import a class C(a.A): x = int() [file c.py] class BaseI: x: int class BaseS: x: str [out] == b.py:3: error: Incompatible types in assignment (expression has type "int", base class "BaseS" defined the type as "str") [case testAliasFineGenericMod] import b [file a.py] from typing import Dict A = Dict[str, int] [file a.py.2] from typing import Dict A = Dict[str, str] [file b.py] import a x: a.A = {str(): int()} [builtins fixtures/dict.pyi] [out] == b.py:2: error: Dict entry 0 has incompatible type "str": "int"; expected "str": "str" [case testAliasFineGenericFunc] import b [file a.py] from typing import Dict A = Dict[str, int] [file a.py.2] from typing import Dict A = Dict[str, str] [file b.py] import a def f(x: a.A): pass f({str(): int()}) [builtins fixtures/dict.pyi] [out] == b.py:4: error: Dict entry 0 has incompatible type "str": "int"; expected "str": "str" [case testAliasFineForwardMod] import b [file b.py] x: A = int() A = int [file b.py.2] x: A = int() A = str [out] == b.py:1: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAliasFineForwardFunc] import b [file b.py] def f(x: A): x = int() A = int [file b.py.2] def f(x: A): if int(): x = int() A = str [out] == b.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAliasFineChainedFunc] import b [file a.py] A = int [file a.py.2] A = str [file aa.py] import a B = a.A [file b.py] import aa def f(x: aa.B): if int(): x = int() [out] == b.py:4: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAliasFineChainedClass] import b [file a.py] A = int [file a.py.2] A = str [file aa.py] import a B = a.A [file b.py] import aa class C: x: aa.B c = C() c.x = int() [out] == b.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAliasFineNestedMod] import b [file a.py] from typing import Dict A = Dict[str, int] [file a.py.2] from typing import Dict A = Dict[str, str] [file aa.py] from typing import Dict import a B = Dict[str, a.A] [file b.py] import aa x: aa.B = {'first': {str(): int()}} [builtins fixtures/dict.pyi] [out] == b.py:3: error: Dict entry 0 has incompatible type "str": "int"; expected "str": "str" [case testAliasFineNestedFunc] import b [file a.py] from typing import Dict A = Dict[str, int] [file a.py.2] from typing import Dict A = Dict[str, str] [file aa.py] from typing import Dict import a B = Dict[str, a.A] [file b.py] import aa def f(x: aa.B): if int(): x = {'first': {str(): int()}} [builtins fixtures/dict.pyi] [out] == b.py:4: error: Dict entry 0 has incompatible type "str": "int"; expected "str": "str" [case testAliasFineNestedFuncDirect] import b [file a.py] from typing import Dict A = Dict[str, int] [file a.py.2] from typing import Dict A = Dict[str, str] [file aa.py] from typing import Dict import a E = Dict [file b.py] import aa def f(x: aa.E[str, aa.a.A]): if int(): x = {'first': {str(): int()}} [builtins fixtures/dict.pyi] [out] == b.py:4: error: Dict entry 0 has incompatible type "str": "int"; expected "str": "str" [case testAliasFineNonGenericToGeneric] import b [file a.py] from typing import Dict, TypeVar T = TypeVar('T') A = Dict[T, int] [file a.py.2] A = str [file b.py] import a def f(x: a.A[str]): pass [builtins fixtures/dict.pyi] [out] == b.py:2: error: "str" expects no type arguments, but 1 given [case testAliasFineGenericToNonGeneric] import b [file a.py] A = str [file a.py.2] from typing import Dict, TypeVar T = TypeVar('T') A = Dict[T, int] [file b.py] import a def f(x: a.A): pass reveal_type(f) [builtins fixtures/dict.pyi] [out] b.py:4: note: Revealed type is "def (x: builtins.str) -> Any" == b.py:4: note: Revealed type is "def (x: builtins.dict[Any, builtins.int]) -> Any" [case testAliasFineChangedNumberOfTypeVars] import b [file a.py] from typing import Dict, TypeVar T = TypeVar('T') A = Dict[T, int] [file a.py.2] from typing import Dict, TypeVar T = TypeVar('T') S = TypeVar('S') A = Dict[T, S] [file b.py] import a def f(x: a.A[str]): pass [builtins fixtures/dict.pyi] [out] == b.py:2: error: Bad number of arguments for type alias, expected 2, given 1 [case testAliasFineAdded] import b [file a.py] [file a.py.2] A = int [file b.py] import a x: a.A [out] b.py:2: error: Name "a.A" is not defined == [case testAliasFineDeleted] import b [file a.py] A = int [file a.py.2] [file b.py] import a x: a.A [out] == b.py:2: error: Name "a.A" is not defined [case testAliasFineClassToAlias] import b [file a.py] class A: pass [file a.py.2] A = int [file b.py] import a x: a.A x = 1 [out] b.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "A") == [case testAliasFineAliasToClass] import b [file a.py] A = int [file a.py.2] class A: pass [file b.py] import a x: a.A x = 1 [out] == b.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "A") [case testAliasFineComponentDeleted] import b [file a.py] class B: pass [file a.py.2] x = 1 [file b.py] import a from typing import Dict, TypeVar T = TypeVar('T') A = Dict[T, a.B] def f(x: A[int]): pass [builtins fixtures/dict.pyi] [out] == b.py:4: error: Name "a.B" is not defined [case testAliasFineTargetDeleted] import c [file a.py] A = int [file b.py] import a B = a.A [file b.py.2] x = 1 [file c.py] import b def f(x: b.B): pass [out] == c.py:2: error: Name "b.B" is not defined [case testAliasFineClassInFunction] import b [file a.py] A = int [file a.py.2] A = str [file b.py] import a def f() -> None: class C: x: a.A = int() [out] == b.py:4: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testAliasFineInitNormalMod] import c [file a.py] class A: def __init__(self, x: int) -> None: pass [file a.py.2] class A: def __init__(self, x: str) -> None: pass [file b.py] import a B = a.A [file c.py] from b import B B(int()) [out] == c.py:2: error: Argument 1 to "A" has incompatible type "int"; expected "str" [case testAliasFineInitNormalFunc] import c [file a.py] class A: def __init__(self, x: int) -> None: pass [file a.py.2] class A: def __init__(self, x: str) -> None: pass [file b.py] import a B = a.A [file c.py] from b import B def f() -> None: B(int()) [out] == c.py:3: error: Argument 1 to "A" has incompatible type "int"; expected "str" [case testAliasFineInitGenericMod] import c [file a.py] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): def __init__(self, x: T) -> None: pass [file a.py.2] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): def __init__(self, x: S) -> None: pass [file b.py] import a B = a.A[int, str] [file c.py] from b import B B(int()) [out] == c.py:2: error: Argument 1 to "A" has incompatible type "int"; expected "str" [case testAliasFineInitGenericFunc] import c [file a.py] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): def __init__(self, x: T) -> None: pass [file a.py.2] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class A(Generic[T, S]): def __init__(self, x: S) -> None: pass [file b.py] import a B = a.A[int, str] [file c.py] from b import B def f() -> None: B(str()) [out] c.py:3: error: Argument 1 to "A" has incompatible type "str"; expected "int" == [case testAliasFineInitChainedMod] import d [file a.py] class A: def __init__(self, x: int) -> None: pass [file a.py.2] class A: def __init__(self, x: str) -> None: pass [file b.py] import a B = a.A [file c.py] import b C = b.B [file d.py] from c import C C(int()) [out] == d.py:2: error: Argument 1 to "A" has incompatible type "int"; expected "str" [case testAliasFineInitChainedFunc] import d [file a.py] class A: def __init__(self, x: int) -> None: pass [file a.py.2] class A: def __init__(self, x: str) -> None: pass [file b.py] import a B = a.A [file c.py] import b C = b.B [file d.py] from c import C def f() -> None: C(str()) [out] d.py:3: error: Argument 1 to "A" has incompatible type "str"; expected "int" == [case testNonePartialType1] import a a.y x = None def f() -> None: global x x = 1 [file a.py] y = 0 [file a.py.2] y = '' [out] main:4: error: Need type annotation for "x" (hint: "x: Optional[] = ...") == main:4: error: Need type annotation for "x" (hint: "x: Optional[] = ...") [case testNonePartialType2] import a a.y x = None def f(): global x x = 1 [file a.py] y = 0 [file a.py.2] y = '' [out] main:4: error: Need type annotation for "x" (hint: "x: Optional[] = ...") == main:4: error: Need type annotation for "x" (hint: "x: Optional[] = ...") [case testNonePartialType3] import a [file a.py] [file a.py.2] y = None def f() -> None: global y y = '' [out] == a.py:1: error: Need type annotation for "y" (hint: "y: Optional[] = ...") [case testNonePartialType4] import a [file a.py] y = None def f() -> None: global y y = '' [file a.py.2] from typing import Optional y: Optional[str] = None def f() -> None: global y y = '' [out] a.py:1: error: Need type annotation for "y" (hint: "y: Optional[] = ...") == [case testSkippedClass1] import a [file a.py] class A: pass [file a.py.2] import sys if sys.platform == 'xyz': class A: pass [builtins fixtures/ops.pyi] [out] == [case testSkippedClass2] import a [file a.py] import sys if sys.platform == 'xyz': class A: pass [file a.py.2] import sys if sys.platform == 'xyz': class A: pass [builtins fixtures/ops.pyi] [out] == [case testSkippedClass3] import a [file a.py] import sys if sys.platform == 'xyz': class A: pass [file a.py.2] class A: pass [builtins fixtures/ops.pyi] [out] == [case testSkippedClass4] import a [file a.py] import sys if sys.platform == 'xyz': class A: pass else: class A: pass [file a.py.2] import sys if sys.platform == 'xyz': class A: pass else: class A: pass [builtins fixtures/ops.pyi] [out] == [case testNewTypeDependencies1] from a import N def f(x: N) -> None: x.y = 1 [file a.py] from typing import NewType from b import C N = NewType('N', C) [file b.py] class C: y: int [file b.py.2] class C: y: str [out] == main:4: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testNewTypeDependencies2] from a import N from b import C, D def f(x: C) -> None: pass def g(x: N) -> None: f(x) [file a.py] from typing import NewType from b import D N = NewType('N', D) [file b.py] class C: pass class D(C): pass [file b.py.2] class C: pass class D: pass [out] == main:7: error: Argument 1 to "f" has incompatible type "N"; expected "C" [case testNewTypeDependencies3] from a import N def f(x: N) -> None: x.y [file a.py] from typing import NewType from b import C N = NewType('N', C) [file a.py.2] from typing import NewType from b import D N = NewType('N', D) [file b.py] class C: y: int class D: pass [out] == main:4: error: "N" has no attribute "y" [case testNamedTupleWithinFunction] from typing import NamedTuple import b def f() -> None: b.x n = NamedTuple('n', []) [file b.py] x = 0 [file b.py.2] x = '' [builtins fixtures/tuple.pyi] [out] == [case testNamedTupleFallback] # This test will fail without semantic analyzer pass 2 patches import a [file a.py] import b [file b.py] from typing import NamedTuple import c c.x class N(NamedTuple): count: int [file c.py] x = 0 [file c.py.2] x = '' [builtins fixtures/tuple.pyi] [out] b.py:5: error: Incompatible types in assignment (expression has type "int", base class "tuple" defined the type as "Callable[[object], int]") == b.py:5: error: Incompatible types in assignment (expression has type "int", base class "tuple" defined the type as "Callable[[object], int]") [case testReprocessEllipses1] import a [file a.py] from typing import Tuple def foo(x: Tuple[int, ...]) -> None: pass [file a.py.2] from typing import Tuple def foo(x: Tuple[int, ...]) -> None: pass [builtins fixtures/tuple.pyi] [out] == [case testReprocessEllipses2] import a [file a.py] from typing import Callable def foo(x: Callable[..., int]) -> None: pass [file a.py.2] from typing import Callable def foo(x: Callable[..., int]) -> None: pass [out] == [case testReprocessCallableArg] import a [file a.py] from typing import Callable from mypy_extensions import Arg def a(f: Callable[[Arg(int, 'x')], int]) -> None: pass [file a.py.2] from typing import Callable from mypy_extensions import Arg def a(f: Callable[[Arg(int, 'x')], int]) -> None: pass [builtins fixtures/dict.pyi] [out] == [case testImplicitTuple1] import a [file a.py] # Bogus annotation in nested function masked because outer function # isn't annotated def unchecked(): def inner(): # type: () -> (str, int) return 'lol', 10 [file a.py.2] # dummy change def unchecked(): def inner(): # type: () -> (str, int) return 'lol', 10 [builtins fixtures/tuple.pyi] [out] == [case testImplicitTuple2] import a [file a.py] def inner(): # type: () -> (str, int) return 'lol', 10 [file a.py.2] # dummy change def inner(): # type: () -> (str, int) return 'lol', 10 [builtins fixtures/tuple.pyi] [out] a.py:1: error: Syntax error in type annotation a.py:1: note: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) == a.py:2: error: Syntax error in type annotation a.py:2: note: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) [case testImplicitTuple3] import a [file a.py] (x, y) = 1, 'hi' # type: (int, str) [file a.py.2] # dummy change (x, y) = 1, 'hi' # type: (int, str) [builtins fixtures/tuple.pyi] [out] == [case testCastConfusion] import b [file a.py] from typing import cast class Thing: def foo(self) -> None: pass thing = cast(Thing, Thing()) [file b.py] from typing import Optional from a import Thing, thing class User: def __init__(self, x: Optional[Thing]) -> None: self.x = x if x else thing def use(self) -> None: self.x.foo() [file a.py.2] from typing import cast class Thing: def foo(self) -> None: pass thing = cast(Thing, Thing()) # update [file b.py.2] from typing import Optional from a import Thing, thing class User: def __init__(self, x: Optional[Thing]) -> None: self.x = x if x else thing def use(self) -> None: self.x.foo() # update [builtins fixtures/ops.pyi] [out] == [case testNoStrictOptionalModule] # flags: --no-strict-optional import a a.y = a.x [file a.py] from typing import Optional x: int y: int [file a.py.2] from typing import Optional x: Optional[int] y: int [file a.py.3] from typing import Optional x: Optional[str] y: int [out] == == main:3: error: Incompatible types in assignment (expression has type "Optional[str]", variable has type "int") [case testNoStrictOptionalFunction] # flags: --no-strict-optional import a from typing import Optional def f() -> None: x: Optional[int] a.g(x) [file a.py] from typing import Optional def g(x: Optional[int]) -> None: pass [file a.py.2] from typing import Optional def g(x: int) -> None: pass [file a.py.3] from typing import Optional def g(x: str) -> None: pass [out] == == main:6: error: Argument 1 to "g" has incompatible type "Optional[int]"; expected "str" [case testNoStrictOptionalMethod] # flags: --no-strict-optional import a from typing import Optional class C: def f(self) -> None: x: Optional[int] a.B().g(x) [file a.py] from typing import Optional class B: def g(self, x: Optional[int]) -> None: pass [file a.py.2] from typing import Optional class B: def g(self, x: int) -> None: pass [file a.py.3] from typing import Optional class B: def g(self, x: str) -> None: pass [out] == == main:7: error: Argument 1 to "g" of "B" has incompatible type "Optional[int]"; expected "str" [case testStrictOptionalModule] import a a.y = a.x [file a.py] from typing import Optional x: int y: int [file a.py.2] from typing import Optional x: Optional[int] y: int [out] == main:2: error: Incompatible types in assignment (expression has type "Optional[int]", variable has type "int") [case testStrictOptionalFunction] import a from typing import Optional def f() -> None: x: Optional[int] a.g(x) [file a.py] from typing import Optional def g(x: Optional[int]) -> None: pass [file a.py.2] from typing import Optional def g(x: int) -> None: pass [out] == main:5: error: Argument 1 to "g" has incompatible type "Optional[int]"; expected "int" [case testStrictOptionalMethod] import a from typing import Optional class C: def f(self) -> None: x: Optional[int] a.B().g(x) [file a.py] from typing import Optional class B: def g(self, x: Optional[int]) -> None: pass [file a.py.2] from typing import Optional class B: def g(self, x: int) -> None: pass [out] == main:6: error: Argument 1 to "g" of "B" has incompatible type "Optional[int]"; expected "int" [case testPerFileStrictOptionalModule] import a [file mypy.ini] \[mypy] strict_optional = False \[mypy-a.*] strict_optional = True [file a.py] from typing import Optional import b x: int y: int = x [file b.py] from typing import Optional x: int y: int = x [file b.py.2] from typing import Optional x: Optional[int] y: int = x [file a.py.3] from typing import Optional import b x: Optional[int] y: int = x [out] == == a.py:4: error: Incompatible types in assignment (expression has type "Optional[int]", variable has type "int") [case testPerFileStrictOptionalModuleOnly] import a [file mypy.ini] \[mypy] strict_optional = False \[mypy-a.*] strict_optional = True [file a.py] from typing import Optional import b y: int = b.x class Dummy: def f(self) -> None: pass [file b.py] from typing import Optional import c x: int y: int = c.x class Dummy: def f(self) -> None: pass [file c.py] from typing import Optional x: int [file c.py.2] from typing import Optional x: Optional[int] [file b.py.3] from typing import Optional import c x: Optional[int] y: int = c.x [file a.py.4] from typing import Optional import b y: Optional[int] = b.x class Dummy: def f(self) -> None: pass [out] == == a.py:3: error: Incompatible types in assignment (expression has type "Optional[int]", variable has type "int") == [case testPerFileStrictOptionalFunction] import a [file mypy.ini] \[mypy] strict_optional = False \[mypy-b.*] strict_optional = True [file a.py] from typing import Optional import b def f() -> None: x: int x = b.g(x) [file b.py] from typing import Optional import c def g(x: Optional[int]) -> Optional[int]: return c.h(x) [file c.py] from typing import Optional def h(x: Optional[int]) -> int: pass [file c.py.2] from typing import Optional def h(x: int) -> int: pass [file b.py.3] from typing import Optional import c def g(x: int) -> Optional[int]: return c.h(x) [out] == b.py:4: error: Argument 1 to "h" has incompatible type "Optional[int]"; expected "int" == [case testPerFileStrictOptionalMethod] import a [file mypy.ini] \[mypy] strict_optional = False \[mypy-b.*] strict_optional = True [file a.py] from typing import Optional import b class A: def f(self) -> None: x: int x = b.B().g(x) [file b.py] from typing import Optional import c class B: def g(self, x: Optional[int]) -> Optional[int]: return c.C().h(x) [file c.py] from typing import Optional class C: def h(self, x: Optional[int]) -> int: pass [file c.py.2] from typing import Optional class C: def h(self, x: int) -> int: pass [file b.py.3] from typing import Optional import c class B: def g(self, x: int) -> Optional[int]: return c.C().h(x) [out] == b.py:5: error: Argument 1 to "h" of "C" has incompatible type "Optional[int]"; expected "int" == [case testTypeVarValuesFunction] import a [file a.py] from typing import TypeVar from c import A, B T = TypeVar('T', A, B) def f(x: T) -> T: x.x = int() return x [file c.py] class A: x: int class B: x: int [file c.py.2] class A: x: int class B: x: str [out] == a.py:6: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testTypeVarValuesClass] import a [file a.py] import c class C: x: c.D[c.A] [file c.py] from typing import TypeVar, Generic class A: pass class B: pass class C: pass T = TypeVar('T', A, B, C) class D(Generic[T]): pass [file c.py.2] from typing import TypeVar, Generic class A: pass class B: pass class C: pass T = TypeVar('T', B, C) class D(Generic[T]): pass [out] == a.py:3: error: Value of type variable "T" of "D" cannot be "A" [case testTypeVarValuesMethod1] import a [file a.py] from typing import Generic import c class G(Generic[c.T]): def f(self, x: c.T) -> None: x.x = int() [file c.py] from typing import TypeVar class A: x: int class B: x: int class C: x: str T = TypeVar('T', A, B, C) [file c.py.2] from typing import TypeVar class A: x: int class B: x: int class C: x: str T = TypeVar('T', A, B) [out] a.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "str") == [case testTypeVarValuesMethod2] import a [file a.py] from typing import Generic import c class G(Generic[c.T]): def f(self, x: c.T) -> None: x.x = int() [file c.py] from typing import TypeVar class A: x: int class B: x: int T = TypeVar('T', A, B) [file c.py.2] from typing import TypeVar class A: x: int class B: x: str T = TypeVar('T', A, B) [out] == a.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testTypeVarBoundFunction] import a [file a.py] from typing import TypeVar from c import B T = TypeVar('T', bound=B) def f(x: T) -> T: x.x = int() return x [file c.py] class B: x: int [file c.py.2] class B: x: str [out] == a.py:6: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testTypeVarBoundClass] import a [file a.py] import c class C: x: c.D[c.A] [file c.py] from typing import TypeVar, Generic class A: pass class B: pass T = TypeVar('T', bound=A) class D(Generic[T]): pass [file c.py.2] from typing import TypeVar, Generic class A: pass class B: pass T = TypeVar('T', bound=B) class D(Generic[T]): pass [out] == a.py:3: error: Type argument "A" of "D" must be a subtype of "B" [case testTypeVarValuesRuntime] from mod import I, S, D A = I x = D[S, A]() [file mod.py] import submod from typing import Generic class D(Generic[submod.T, submod.U]): pass class I: pass class S: pass [file submod.py] from typing import TypeVar T = TypeVar('T') U = TypeVar('U') [file submod.py.2] from typing import TypeVar T = TypeVar('T', int, str) U = TypeVar('U', int, str) [out] == main:3: error: Value of type variable "submod.T" of "D" cannot be "S" main:3: error: Value of type variable "submod.U" of "D" cannot be "I" [case testTypeVarBoundRuntime] from mod import I, S, D A = I x = D[S, A]() [file mod.py] import submod from typing import Generic class D(Generic[submod.T, submod.U]): pass class I: pass class S: pass [file submod.py] from typing import TypeVar T = TypeVar('T', bound=int) U = TypeVar('U', bound=int) [file submod.py.2] from typing import TypeVar T = TypeVar('T') U = TypeVar('U') [out] main:3: error: Value of type variable "submod.T" of "D" cannot be "S" main:3: error: Value of type variable "submod.U" of "D" cannot be "I" == [case testGenericFineCallableNormal] import a [file a.py] import b x: int = b.f(int()) [file b.py] from c import g f = g [file c.py] from typing import TypeVar class B: pass T = TypeVar('T') def g(x: T) -> T: pass [file c.py.2] from typing import TypeVar class B: pass T = TypeVar('T', str, B) def g(x: T) -> T: pass [out] == a.py:2: error: Value of type variable "T" of function cannot be "int" [case testGenericFineCallableNamed] import a [file a.py] import b x: int = b.f(x=int()) [file b.py] from c import g f = g [file c.py] from typing import TypeVar class B: pass T = TypeVar('T') def g(x: T) -> T: pass [file c.py.2] from typing import TypeVar class B: pass T = TypeVar('T') def g(y: T) -> T: pass [out] == a.py:2: error: Unexpected keyword argument "x" c.py:4: note: Called function defined here [case testGenericFineCallableInBound] import a [file a.py] import b x: int = b.f()(int()) [file b.py] from c import g f = g [file c.py] from typing import Callable, TypeVar class B: pass T = TypeVar('T') def g() -> Callable[[T], T]: pass [file c.py.2] from typing import Callable, TypeVar class B: pass T = TypeVar('T', str, B) def g() -> Callable[[T], T]: pass [out] == a.py:2: error: Value of type variable "T" of function cannot be "int" [case testGenericFineCallableAddedBound] import a [file a.py] import b x: int = b.f(int()) [file b.py] from c import g f = g [file c.py] from typing import TypeVar class B: pass T = TypeVar('T') def g(x: T) -> T: pass [file c.py.2] from typing import TypeVar class B: pass T = TypeVar('T', bound=B) def g(x: T) -> T: pass [out] == a.py:2: error: Value of type variable "T" of function cannot be "int" [case testGenericFineCallableBoundDeleted-only_when_cache] # See https://github.com/python/mypy/issues/4783 import a [file a.py] import b x: int = b.f(int()) [file b.py] from c import g f = g [file c.py] from typing import TypeVar import d T = TypeVar('T', bound=d.B) def g(x: T) -> T: pass [file d.py] class B: pass [file d.py.2] # empty [out] a.py:2: error: Value of type variable "T" of function cannot be "int" == c.py:3: error: Name "d.B" is not defined [case testGenericFineCallableToNonGeneric] import a [file a.py] import b x: int = b.f(x=int()) [file b.py] from c import g f = g [file c.py] from typing import TypeVar T = TypeVar('T') def g(x: T) -> T: pass [file c.py.2] from typing import TypeVar class T: pass def g(x: T) -> T: pass [out] == a.py:2: error: Incompatible types in assignment (expression has type "T", variable has type "int") a.py:2: error: Argument "x" has incompatible type "int"; expected "T" [case testGenericFineCallableToGenericClass] import a [file a.py] import b x: int = b.f(x=int()) [file b.py] from c import g f = g [file c.py] from typing import TypeVar, Generic T = TypeVar('T') def g(x: T) -> T: pass [file c.py.2] from typing import TypeVar, Generic T = TypeVar('T') class g(Generic[T]): def __init__(self, x: T) -> None: pass [out] == a.py:2: error: Incompatible types in assignment (expression has type "g[int]", variable has type "int") [case testMakeClassNoLongerAbstract1] [file z.py] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass [file b.py] from typing import Optional from z import I class Foo(I): pass def x() -> Optional[Foo]: return None [file z.py.2] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): pass [file b.py.2] from z import I class Foo(I): pass def x() -> Foo: return Foo() [out] == [case testMakeClassNoLongerAbstract2] -- this version never failed, but it is just a file-renaming -- away from the above test that did [file a.py] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass [file b.py] from typing import Optional from a import I class Foo(I): pass def x() -> Optional[Foo]: return None [file a.py.2] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): pass [file b.py.2] from a import I class Foo(I): pass def x() -> Foo: return Foo() [out] == [case testRefreshClassBasedEnum] import aa [file aa.py] import a [file a.py] from enum import Enum import b b.x class C(Enum): X = 0 [file b.py] x = 0 [file b.py.2] x = '' [file aa.py.3] from a import C c: C c = C.X if int(): c = 1 [builtins fixtures/enum.pyi] [out] == == aa.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "C") [case testRefreshClassBasedIntEnum] import aa [file aa.py] import a [file a.py] from enum import IntEnum import b b.x class C(IntEnum): X = 0 x: int x = C.X [file b.py] x = 0 [file b.py.2] x = '' [file aa.py.3] from a import C c: C c = C.X if int(): c = 1 n: int n = C.X if int(): n = c [builtins fixtures/enum.pyi] [out] == == aa.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "C") [case testClassBasedEnumPropagation1] import a [file a.py] from b import C def f(x: C) -> None: pass f(C.X) f(C.Y) [file b.py] from enum import Enum class C(Enum): X = 0 Y = 1 [file b.py.2] from enum import Enum class C(Enum): X = 0 [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [out] == a.py:5: error: "type[C]" has no attribute "Y" [case testClassBasedEnumPropagation2] import a [file a.py] from b import C def f(x: int) -> None: pass f(C.X) f(C.Y) [file b.py] class C: X = 0 Y = 1 [file b.py.2] from enum import Enum class C(Enum): X = 0 Y = 1 [builtins fixtures/enum.pyi] [out] == a.py:4: error: Argument 1 to "f" has incompatible type "C"; expected "int" a.py:5: error: Argument 1 to "f" has incompatible type "C"; expected "int" [case testRefreshFuncBasedEnum] import aa [file aa.py] import a [file a.py] from enum import Enum import b b.x C = Enum('C', [('X', 0)]) [file b.py] x = 0 [file b.py.2] x = '' [file aa.py.3] from a import C c: C c = C.X if int(): c = 1 [builtins fixtures/tuple.pyi] [out] == == aa.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "C") [case testRefreshFuncBasedIntEnum] import aa [file aa.py] import a [file a.py] from enum import IntEnum import b b.x C = IntEnum('C', 'X') x: int x = C.X [file b.py] x = 0 [file b.py.2] x = '' [file aa.py.3] from a import C c: C c = C.X if int(): c = 1 # Error n: int n = C.X n = c [builtins fixtures/enum.pyi] [out] == == aa.py:5: error: Incompatible types in assignment (expression has type "int", variable has type "C") [case testFuncBasedEnumPropagation1] import a [file a.py] from b import C def f(x: C) -> None: pass f(C.X) f(C.Y) [file b.py] from enum import Enum C = Enum('C', 'X Y') [file b.py.2] from enum import Enum C = Enum('C', 'X') [builtins fixtures/tuple.pyi] [typing fixtures/typing-medium.pyi] [out] == a.py:5: error: "type[C]" has no attribute "Y" [case testFuncBasedEnumPropagation2] import a [file a.py] from b import C def f(x: int) -> None: pass f(C.X) f(C.Y) [file b.py] class C: X = 0 Y = 1 [file b.py.2] from enum import Enum C = Enum('C', [('X', 0), ('Y', 1)]) [builtins fixtures/tuple.pyi] [out] == a.py:4: error: Argument 1 to "f" has incompatible type "C"; expected "int" a.py:5: error: Argument 1 to "f" has incompatible type "C"; expected "int" [case testChangeTypeVarToFunction] import a from typing import Generic class C(Generic[a.T]): def meth(self, x: a.T) -> None: pass Alias = C[C[a.T]] def outer() -> None: def func(x: a.T) -> Alias[a.T]: pass [file a.py] from typing import TypeVar T = TypeVar('T') [file a.py.2] from typing import TypeVar def T() -> None: pass [out] == main:5: error: Free type variable expected in Generic[...] main:6: error: Function "a.T" is not valid as a type main:6: note: Perhaps you need "Callable[...]" or a callback protocol? main:9: error: "C" expects no type arguments, but 1 given main:9: error: Function "a.T" is not valid as a type main:9: note: Perhaps you need "Callable[...]" or a callback protocol? main:12: error: Function "a.T" is not valid as a type main:12: note: Perhaps you need "Callable[...]" or a callback protocol? main:12: error: Bad number of arguments for type alias, expected 0, given 1 [case testChangeTypeVarToModule] import a from typing import Generic class C(Generic[a.T]): def meth(self, x: a.T) -> None: pass Alias = C[C[a.T]] def outer() -> None: def func(x: a.T) -> Alias[a.T]: pass [file a.py] from typing import TypeVar T = TypeVar('T') [file T.py.2] [file a.py.3] from typing import TypeVar import T [out] == == main:5: error: Free type variable expected in Generic[...] main:6: error: Module "T" is not valid as a type main:6: note: Perhaps you meant to use a protocol matching the module structure? main:9: error: "C" expects no type arguments, but 1 given main:9: error: Module "T" is not valid as a type main:9: note: Perhaps you meant to use a protocol matching the module structure? main:12: error: Module "T" is not valid as a type main:12: note: Perhaps you meant to use a protocol matching the module structure? main:12: error: Bad number of arguments for type alias, expected 0, given 1 [case testChangeClassToModule] import a x: a.C def f() -> None: a.C() class A: def meth(self) -> None: def inner() -> a.C: pass [file a.py] class C: pass [file C.py.2] [file a.py.3] import C [builtins fixtures/module.pyi] [out] == == main:3: error: Module "C" is not valid as a type main:3: note: Perhaps you meant to use a protocol matching the module structure? main:5: error: Module not callable main:8: error: Module "C" is not valid as a type main:8: note: Perhaps you meant to use a protocol matching the module structure? [case testChangeTypeVarToTypeAlias] import a from typing import Generic class C(Generic[a.T]): def meth(self, x: a.T) -> None: pass Alias = C[C[a.T]] def outer() -> None: def func(x: a.T) -> Alias[a.T]: pass [file a.py] from typing import TypeVar T = TypeVar('T') [file a.py.2] from typing import TypeVar T = int [out] == main:5: error: Free type variable expected in Generic[...] main:9: error: "C" expects no type arguments, but 1 given main:12: error: Bad number of arguments for type alias, expected 0, given 1 [case testChangeTypeAliasToModule] import a x: a.C def f() -> None: a.C() class A: def meth(self) -> None: def inner() -> a.C: pass [file a.py] import b C = b.D [file b.py] class D: pass [file D.py.2] [file b.py.3] import D [builtins fixtures/module.pyi] [out] == == main:3: error: Module "D" is not valid as a type main:3: note: Perhaps you meant to use a protocol matching the module structure? main:5: error: Module not callable main:8: error: Module "D" is not valid as a type main:8: note: Perhaps you meant to use a protocol matching the module structure? [case testChangeTypeAliasToModuleUnqualified] from a import C x: C def f() -> None: C() class A: def meth(self) -> None: def inner() -> C: pass [file a.py] from b import D C = D [file b.py] class D: pass [file D.py.2] [file b.py.3] import D [builtins fixtures/module.pyi] [out] == == main:3: error: Module "D" is not valid as a type main:3: note: Perhaps you meant to use a protocol matching the module structure? main:5: error: Module not callable main:8: error: Module "D" is not valid as a type main:8: note: Perhaps you meant to use a protocol matching the module structure? [case testChangeFunctionToVariableAndRefreshUsingStaleDependency] import a import c [file a.py] import c def f() -> c.A: pass [file a.py.2] f = 1 [file c.py] class A: pass [file c.py.3] [out] == == [case testChangeFunctionToTypeVarAndRefreshUsingStaleDependency] import a import c [file a.py] import c def f() -> c.A: pass [file a.py.2] from typing import TypeVar f = TypeVar('f') [file c.py] class A: pass [file c.py.3] [out] == == [case testChangeFunctionToModuleAndRefreshUsingStaleDependency] import a import c [file a.py] import c def f() -> c.A: pass [file a.py.2] import c as f [file c.py] class A: pass [file c.py.3] [out] == == [case testChangeFunctionToTypeAliasAndRefreshUsingStaleDependency1] import a import c [file a.py] import c def f() -> c.A: pass [file a.py.2] f = int [file c.py] class A: pass [file c.py.3] [out] == == [case testChangeFunctionToTypeAliasAndRefreshUsingStaleDependency2] import a import c [file a.py] import c def f() -> c.A: pass [file a.py.2] from typing import List f = List[int] [file c.py] class A: pass [file c.py.3] [builtins fixtures/list.pyi] [out] == == [case testChangeFunctionToClassAndRefreshUsingStaleDependency] import a import c [file a.py] import c def f() -> c.A: pass [file a.py.2] class f: pass [file c.py] class A: pass [file c.py.3] [out] == == [case testClassToVariableAndRefreshUsingStaleDependency] import a import c [file a.py] import c class A: def f(self) -> c.A: pass [file a.py.2] A = 0 [file c.py] class A: pass [file c.py.3] [out] == == [case testFunctionToImportedFunctionAndRefreshUsingStaleDependency] import a import c [file a.py] import c def f() -> c.A: pass [file a.py.2] from d import f [file c.py] class A: pass [file c.py.3] [file d.py] def g() -> None: pass def f() -> None: g() [out] == == [case testMethodToVariableAndRefreshUsingStaleDependency] import a import c [file a.py] import c class B: def f(self) -> c.A: pass [file a.py.2] class B: f = 0 [file c.py] class A: pass [file c.py.3] [out] == == [case testChangeGenericFunctionToVariable] import a x: int y: int = a.f(x) class Dummy: def g(self) -> None: a.f(x) [file a.py] from typing import TypeVar T = TypeVar('T') def f(x: T) -> T: pass [file a.py.2] from typing import TypeVar T = TypeVar('T') f = 42 [out] == main:3: error: "int" not callable main:6: error: "int" not callable [case testChangeGenericClassToVariable] import a x: int a.A(x) class Dummy: def g(self) -> None: a.A(x) [file a.py] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def __init__(self, x: T) -> None: pass [file a.py.2] from typing import TypeVar, Generic T = TypeVar('T') A = 'no way' [out] == main:3: error: "str" not callable main:6: error: "str" not callable [case testChangeGenericMethodToVariable] import a x: int y: int = a.A(x).f() class Dummy: def g(self) -> None: a.A(x).f() [file a.py] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def __init__(self, x: T) -> None: pass def f(self) -> T: pass [file a.py.2] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): f: T def __init__(self, x: T) -> None: pass [out] == main:3: error: "int" not callable main:6: error: "int" not callable [case testRefreshNestedClassWithSelfReference] import a [file a.py] import b def f(self) -> None: b.y class C: z: C [file b.py] y = 0 [file b.py.2] y = '' [file b.py.3] y = 0 [out] == == [case testMultipleAssignment] import a [file a.py] from b import f def h(x: str) -> None: pass class C: def __init__(self) -> None: self.a, self.b = f() def g(self) -> None: h(self.a) [file b.py] from typing import Tuple def f() -> Tuple[str, int]: pass [file b.py.2] from typing import Tuple def f() -> Tuple[int, object]: pass [file b.py.3] from typing import Tuple def f() -> Tuple[str, int]: pass [builtins fixtures/tuple.pyi] [out] == a.py:10: error: Argument 1 to "h" has incompatible type "int"; expected "str" == [case testMultipleLvalues] import a [file a.py] from b import f def h(x: str) -> None: pass class C: def __init__(self) -> None: self.a = self.b = f() def g(self) -> None: h(self.a) h(self.b) [file b.py] def f() -> str: pass [file b.py.2] def f() -> int: pass [file b.py.3] def f() -> str: pass [out] == a.py:10: error: Argument 1 to "h" has incompatible type "int"; expected "str" a.py:11: error: Argument 1 to "h" has incompatible type "int"; expected "str" == [case testNoOpUpdateFineGrainedIncremental1] # cmd: mypy a.py [file a.py] 1() [file b.py.2] # Note: this file is not part of the build [file a.py.3] x = 1 [out] a.py:1: error: "int" not callable == a.py:1: error: "int" not callable == [case testNoOpUpdateFineGrainedIncremental2] # cmd: mypy a.py [file a.py] 1() [file a.py.2] 1() [file a.py.3] x = 1 [file a.py.4] x = 1 [out] a.py:1: error: "int" not callable == a.py:1: error: "int" not callable == == [case testNonExistentFileOnCommandLine1] # cmd: mypy a.py nonexistent.py [file a.py] [file a.py.2] 1() [out] mypy: can't read file 'tmp/nonexistent.py': No such file or directory == mypy: can't read file 'tmp/nonexistent.py': No such file or directory [case testNonExistentFileOnCommandLine2] # cmd: mypy a.py # cmd2: mypy a.py nonexistent.py [file a.py] [file a.py.2] 1() [out] == a.py:1: error: "int" not callable [case testNonExistentFileOnCommandLine3] # cmd: mypy a.py # cmd2: mypy a.py nonexistent.py [file a.py] [file nonexistent.py] [delete nonexistent.py.2] [out] == [case testNonExistentFileOnCommandLine4] # cmd: mypy a.py nonexistent.py [file a.py] [file nonexistent.py] [delete nonexistent.py.2] [out] == [case testNonExistentFileOnCommandLine5] # cmd: mypy a.py nonexistent_stub.pyi # TODO: Should generate an error for missing file [file a.py] [file nonexistent_stub.pyi] [delete nonexistent_stub.pyi.2] [out] == [case testDunderNewUpdatedMethod] import a [file a.py] import b class A: def func(self) -> None: b.C(int()) [file b.py] class C: def __new__(cls, x: str) -> C: pass [file b.py.2] class C: def __new__(cls, x: int) -> C: pass [out] a.py:4: error: Argument 1 to "C" has incompatible type "int"; expected "str" == [case testDunderNewUpdatedSubclass] import a [file a.py] import b b.D(int()) [file b.py] from c import C class D(C): pass [file c.py] class C: def __new__(cls, x: str) -> C: pass [file c.py.2] class C: def __new__(cls, x: int) -> C: pass [out] a.py:3: error: Argument 1 to "D" has incompatible type "int"; expected "str" == [case testDunderNewUpdatedAlias] import a [file a.py] import b b.D(int()) [file b.py] from c import C D = C [file c.py] class C: def __new__(cls, x: int) -> C: pass [file c.py.2] class C: def __new__(cls, x: str) -> C: pass [out] == a.py:3: error: Argument 1 to "C" has incompatible type "int"; expected "str" [case testDunderNewUpdatedCallable] import a [file a.py] from typing import Callable, Any import b def func(arg: Callable[[int], Any]) -> None: pass func(b.C) [file b.py] class C: def __new__(cls, x: int) -> C: pass [file b.py.2] class C: def __new__(cls, x: str) -> C: pass [out] == a.py:6: error: Argument 1 to "func" has incompatible type "type[C]"; expected "Callable[[int], Any]" [case testDunderNewDefine] import a [file a.py] import b class A: def func(self) -> None: b.C() [file b.py] class C: pass [file b.py.2] class C: def __new__(cls, x: int) -> C: pass [out] == a.py:4: error: Missing positional argument "x" in call to "C" [case testDunderNewInsteadOfInit] import a [file a.py] import b class A: def func(self) -> None: b.C(int()) [file b.py] class C: def __init__(cls, x: int) -> None: pass [file b.py.2] class C: def __new__(cls, x: int) -> C: pass [file b.py.3] class C: pass [out] == == a.py:4: error: Too many arguments for "C" -- Protocol tests [case testProtocolUpdateTypeInVariable] import a [file a.py] import b class C: x: int x: b.P = C() [file b.py] from typing import Protocol class P(Protocol): x: int [file b.py.2] from typing import Protocol class P(Protocol): x: str [out] == a.py:4: error: Incompatible types in assignment (expression has type "C", variable has type "P") a.py:4: note: Following member(s) of "C" have conflicts: a.py:4: note: x: expected "str", got "int" [case testProtocolUpdateTypeInFunction] import a [file a.py] import b class C: x: int c: C def f() -> None: def g(x: b.P) -> None: pass g(c) [file b.py] from typing import Protocol class P(Protocol): x: int [file b.py.2] from typing import Protocol class P(Protocol): x: str [out] == a.py:8: error: Argument 1 to "g" has incompatible type "C"; expected "P" a.py:8: note: Following member(s) of "C" have conflicts: a.py:8: note: x: expected "str", got "int" [case testProtocolUpdateTypeInClass] import a [file a.py] import b class C: x: int class A: class B: x: b.P y: B A().y.x = C() [file b.py] from typing import Protocol class P(Protocol): x: int [file b.py.2] from typing import Protocol class P(Protocol): x: str [out] == a.py:8: error: Incompatible types in assignment (expression has type "C", variable has type "P") a.py:8: note: Following member(s) of "C" have conflicts: a.py:8: note: x: expected "str", got "int" [case testProtocolAddAttrInFunction] import a [file a.py] import b class C: x: int def f() -> None: c: C def g(x: b.P) -> None: pass g(c) [file b.py] from typing import Protocol class P(Protocol): x: int [file b.py.2] from typing import Protocol class P(Protocol): x: int y: str [out] == a.py:8: error: Argument 1 to "g" has incompatible type "C"; expected "P" a.py:8: note: "C" is missing following "P" protocol member: a.py:8: note: y [case testProtocolRemoveAttrInClass] import a [file a.py] import b class C: x: int class A: class B: x: b.P y: B A().y.x = C() [file b.py] from typing import Protocol class P(Protocol): x: int y: str [file b.py.2] from typing import Protocol class P(Protocol): x: int [out] a.py:8: error: Incompatible types in assignment (expression has type "C", variable has type "P") a.py:8: note: "C" is missing following "P" protocol member: a.py:8: note: y == [case testProtocolConcreteUpdateTypeFunction] import a [file a.py] import b from typing import Protocol class P(Protocol): x: int def f() -> None: def g(x: P) -> None: pass g(b.C()) [file b.py] class C: x: int [file b.py.2] class C: x: str [out] == a.py:8: error: Argument 1 to "g" has incompatible type "C"; expected "P" a.py:8: note: Following member(s) of "C" have conflicts: a.py:8: note: x: expected "int", got "str" [case testProtocolConcreteUpdateTypeMethodGeneric] import a [file a.py] import b from typing import Protocol, TypeVar T = TypeVar('T') class P(Protocol[T]): x: T class C: def g(self, x: P[int]) -> None: pass def do(self) -> None: self.g(b.C()) [file b.py] class C: x: int [file b.py.2] class C: x: str [out] == a.py:10: error: Argument 1 to "g" of "C" has incompatible type "C"; expected "P[int]" a.py:10: note: Following member(s) of "C" have conflicts: a.py:10: note: x: expected "int", got "str" [case testProtocolConcreteRemoveAttrVariable] import a [file a.py] import b, c cc: c.C x: b.P = cc [file b.py] from typing import Protocol class P(Protocol): x: int [file c.py] class C: x: int [file c.py.2] class C: pass [out] == a.py:3: error: Incompatible types in assignment (expression has type "C", variable has type "P") [case testProtocolUpdateBaseGeneric] import a [file a.py] import b, c def g(x: c.P) -> None: pass g(b.C()) [file b.py] class C: x: int [file c.py] from typing import Protocol import d class P(d.PBase[int], Protocol): pass [file c.py.2] from typing import Protocol import d class P(d.PBase[str], Protocol): pass [file d.py] from typing import Protocol, TypeVar T = TypeVar('T') class PBase(Protocol[T]): x: T [out] == a.py:4: error: Argument 1 to "g" has incompatible type "C"; expected "P" a.py:4: note: Following member(s) of "C" have conflicts: a.py:4: note: x: expected "str", got "int" [case testProtocolConcreteUpdateBaseGeneric] import a [file a.py] import b from typing import Protocol class P(Protocol): x: int def f(x: P) -> None: pass f(b.B()) [file b.py] import c class B(c.C[int]): pass [file b.py.2] import c class B(c.C[str]): pass [file c.py] from typing import TypeVar, Generic T = TypeVar('T') class C(Generic[T]): x: T [out] == a.py:7: error: Argument 1 to "f" has incompatible type "B"; expected "P" a.py:7: note: Following member(s) of "B" have conflicts: a.py:7: note: x: expected "int", got "str" [case testProtocolChangeGeneric] import a [file a.py] import b, c x: b.P = c.C() [file b.py] import b2 from typing import Protocol class P(b2.P2[str], Protocol): pass [file b2.py] from typing import Protocol, TypeVar T = TypeVar('T') class P2(Protocol[T]): x: T [file b2.py.2] from typing import Protocol, TypeVar T = TypeVar('T') class P2(Protocol): x: int [file c.py] class C: x: int [out] a.py:2: error: Incompatible types in assignment (expression has type "C", variable has type "P") a.py:2: note: Following member(s) of "C" have conflicts: a.py:2: note: x: expected "str", got "int" == b.py:3: error: "P2" expects no type arguments, but 1 given [case testProtocolToNonProtocol] import a [file a.py] import b, c b.f(c.C()) [file b.py] import d def f(x: d.D) -> None: pass [file c.py] import d class C: x: int [file d.py] from typing import Protocol class D(Protocol): x: int [file d.py.2] class D: x: int [file c.py.3] import d class C(d.D): pass [out] == a.py:2: error: Argument 1 to "f" has incompatible type "C"; expected "D" == [case testNonProtocolToProtocol] import a [file a.py] import b, c b.f(c.C()) [file b.py] import d def f(x: d.D) -> None: pass [file c.py] import d class C(d.D): pass [file d.py] class D: x: int [file d.py.2] from typing import Protocol class D(Protocol): x: int [file c.py.3] import d class C: x: int [out] == a.py:2: error: Cannot instantiate abstract class "C" with abstract attribute "x" == [case testInvalidateProtocolViaSuperClass] import a [file a.py] import b, c def func(x: c.P) -> None: pass func(b.B()) [file b.py] class B: x: int y: str [file c.py] from typing import Protocol import d class P(d.PBase, Protocol): x: int [file d.py] from typing import Protocol class PBase(Protocol): y: str [file d.py.2] from typing import Protocol class PBase(Protocol): y: int [out] == a.py:4: error: Argument 1 to "func" has incompatible type "B"; expected "P" a.py:4: note: Following member(s) of "B" have conflicts: a.py:4: note: y: expected "int", got "str" [case testProtocolInvalidateConcreteViaSuperClassUpdateType] import a [file a.py] import b def func(x: b.P) -> None: pass func(b.B()) [file b.py] from typing import Protocol import c class P(Protocol): x: int class B(c.C): pass [file c.py] class C: x: int [file c.py.2] class C: x: str [out] == a.py:4: error: Argument 1 to "func" has incompatible type "B"; expected "P" a.py:4: note: Following member(s) of "B" have conflicts: a.py:4: note: x: expected "int", got "str" [case testProtocolInvalidateConcreteViaSuperClassAddAttr] import a [file a.py] import b def func(x: b.P) -> None: pass bb: b.B func(bb) [file b.py] from typing import Protocol import c class P(Protocol): x: int class B(c.C): pass [file c.py] class C: pass [file c.py.2] class C: x: int [out] a.py:5: error: Argument 1 to "func" has incompatible type "B"; expected "P" == [case testProtocolInvalidateConcreteViaSuperClassRemoveAttr] import a [file a.py] import b def func(x: b.P) -> None: pass func(b.B()) [file b.py] from typing import Protocol import c class P(Protocol): x: int class B(c.C): pass [file c.py] class C: x: int [file c.py.2] class C: pass [out] == a.py:4: error: Argument 1 to "func" has incompatible type "B"; expected "P" [case testTwoProtocolsTwoFilesCrossedUpdateType-only_when_nocache] # this test and the next one (TwoProtocolsTwoFilesCrossedDeleteAttr) has errors ordered # opposite way with and without cache, therefore skip one of each. import a [file a.py] import b1 import b2 [file b1.py] import b2, d from typing import Protocol class P1(Protocol): x: int def f(x: b2.P2) -> None: pass f(d.D()) [file b2.py] import b1, d from typing import Protocol class P2(Protocol): x: int def f(x: b1.P1) -> None: pass f(d.D()) [file d.py] class D: x: int [file d.py.2] class D: x: str [out] == b1.py:7: error: Argument 1 to "f" has incompatible type "D"; expected "P2" b1.py:7: note: Following member(s) of "D" have conflicts: b1.py:7: note: x: expected "int", got "str" b2.py:7: error: Argument 1 to "f" has incompatible type "D"; expected "P1" b2.py:7: note: Following member(s) of "D" have conflicts: b2.py:7: note: x: expected "int", got "str" [case testTwoProtocolsTwoFilesCrossedDeleteAttr-only_when_cache] import a [file a.py] import b1 import b2 [file b1.py] import b2, d from typing import Protocol class P1(Protocol): x: int def f(x: b2.P2) -> None: pass f(d.D()) [file b2.py] import b1, d from typing import Protocol class P2(Protocol): x: int def f(x: b1.P1) -> None: pass f(d.D()) [file d.py] class D: x: int [file d.py.2] class D: y: int [out] b2.py:7: error: Argument 1 to "f" has incompatible type "D"; expected "P2" (diff) b1.py:7: error: Argument 1 to "f" has incompatible type "D"; expected "P1" [case testProtocolsInvalidateByRemovingBase] import a [file a.py] import b def func(x: b.P) -> None: pass func(b.B()) [file b.py] from typing import Protocol import c class P(Protocol): x: int class B(c.C): pass [file c.py] import d class C(d.D): pass [file c.py.2] import d class C: pass [file d.py] class D: x: int [out] == a.py:4: error: Argument 1 to "func" has incompatible type "B"; expected "P" [case testProtocolsInvalidateByRemovingMetaclass] import a [file a.py] import b def func(x: b.P) -> None: pass func(b.B) [file b.py] from typing import Protocol import c class P(Protocol): x: int class B(c.C): pass [file c.py] import d class C(metaclass=d.M): pass [file c.py.2] import d class C: pass [file d.py] class M(type): x: int [out] == a.py:4: error: Argument 1 to "func" has incompatible type "type[B]"; expected "P" [case testProtocolVsProtocolSubUpdated] import a [file a.py] import b, c x: b.SuperP y: c.SubP x = y [file b.py] from typing import Protocol class SuperP(Protocol): x: int [file c.py] from typing import Protocol import d class SubP(d.PBase, Protocol): y: str [file d.py] from typing import Protocol class PBase(Protocol): x: int [file d.py.2] from typing import Protocol class PBase(Protocol): x: str [out] == a.py:4: error: Incompatible types in assignment (expression has type "SubP", variable has type "SuperP") a.py:4: note: Following member(s) of "SubP" have conflicts: a.py:4: note: x: expected "int", got "str" [case testProtocolVsProtocolSuperUpdated] import a [file a.py] import b, c x: b.SuperP y: c.SubP x = y [file b.py] from typing import Protocol import d class SuperP(d.PBase, Protocol): pass [file c.py] from typing import Protocol class SubP(Protocol): x: int [file d.py] from typing import Protocol class PBase(Protocol): x: int [file d.py.2] from typing import Protocol class PBase(Protocol): y: int [out] == a.py:4: error: Incompatible types in assignment (expression has type "SubP", variable has type "SuperP") [case testProtocolVsProtocolSuperUpdated2] import a [file a.py] import b, c x: b.SuperP y: c.SubP x = y [file b.py] from typing import Protocol import d class SuperP(d.PBase, Protocol): x: int [file c.py] from typing import Protocol class SubP(Protocol): x: int y: int [file d.py] from typing import Protocol class PBase(Protocol): y: int [file d.py.2] from typing import Protocol class PBase(Protocol): y: int z: int [out] == a.py:4: error: Incompatible types in assignment (expression has type "SubP", variable has type "SuperP") a.py:4: note: "SubP" is missing following "SuperP" protocol member: a.py:4: note: z [case testProtocolVsProtocolSuperUpdated3] import a [file a.py] import b, c x: b.SuperP y: c.SubP x = y [file b.py] from typing import Protocol import d class SuperP(d.PBase, Protocol): x: int [file c.py] from typing import Protocol class SubP(Protocol): x: int y: int [file d.py] from typing import Protocol import e class PBase(Protocol): y: int [file d.py.2] from typing import Protocol import e class PBase(e.NewP, Protocol): y: int [file e.py] from typing import Protocol class NewP(Protocol): z: int [out] == a.py:4: error: Incompatible types in assignment (expression has type "SubP", variable has type "SuperP") a.py:4: note: "SubP" is missing following "SuperP" protocol member: a.py:4: note: z [case testProtocolMultipleUpdates] import a [file a.py] import b, c x: b.P = c.C() [file b.py] from typing import Protocol import b2 class P(b2.P2, Protocol): x: int [file b2.py] from typing import Protocol class P2(Protocol): y: int [file c.py] import c2 class C(c2.C2): x: int [file c2.py] class C2: y: int [file b2.py.2] from typing import Protocol class P2(Protocol): y: int z: int [file c2.py.3] class C2: y: int z: int [file c2.py.4] class C2: y: int z: str [out] == a.py:2: error: Incompatible types in assignment (expression has type "C", variable has type "P") a.py:2: note: "C" is missing following "P" protocol member: a.py:2: note: z == == a.py:2: error: Incompatible types in assignment (expression has type "C", variable has type "P") a.py:2: note: Following member(s) of "C" have conflicts: a.py:2: note: z: expected "int", got "str" [case testWeAreCarefulWithBuiltinProtocols] import a x: a.A for i in x: pass [file a.py] from typing import Iterator class A: def __iter__(self) -> Iterator[int]: pass [file a.py.2] class A: pass [out] == main:3: error: "A" has no attribute "__iter__" (not iterable) [case testWeAreCarefulWithBuiltinProtocolsBase] import a x: a.A for i in x: pass [file a.py] import b class A(b.B): pass [file a.py.2] class A: pass [file b.py] from typing import Iterator class B: def __iter__(self) -> Iterator[int]: pass [out] == main:3: error: "A" has no attribute "__iter__" (not iterable) [case testOverloadsSimpleFrom] import a [file a.py] import mod def f() -> None: x: str = mod.f(str()) [file mod.py] from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass def f(x): pass [file mod.py.2] from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: str) -> int: pass def f(x): pass [out] == a.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testOverloadsSimpleToNested] from typing import overload, Any import mod def outer() -> None: @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass def f(x: Any) -> Any: y: int = mod.f() [file mod.py] def f() -> int: pass [file mod.py.2] def f() -> str: pass [out] == main:9: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testOverloadsRemovedOverload] import mod def f() -> None: x: str = mod.f(str()) [file mod.py] class C: pass from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass @overload def f(x: C) -> int: pass def f(x): pass [file mod.py.2] class C: pass from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: C) -> int: pass def f(x): pass [out] == main:3: error: No overload variant of "f" matches argument type "str" main:3: note: Possible overload variants: main:3: note: def f(x: int) -> None main:3: note: def f(x: C) -> int [case testOverloadsDeleted] import mod def f() -> None: x: str = mod.f(str()) [file mod.py] from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass def f(x): pass [file mod.py.2] from typing import overload [builtins fixtures/module.pyi] [out] == main:3: error: Module has no attribute "f" [case testOverloadsUpdatedTypeRecheckImplementation] from typing import overload import mod class Outer: @overload def f(self, x: mod.D) -> mod.D: pass @overload def f(self, x: mod.E) -> mod.E: pass def f(self, x: mod.C) -> mod.C: x.x = int() return x [file mod.py] import submod class C(submod.B): pass class D(C): pass class E(C): pass [file submod.py] import base class B(base.AI): pass [file submod.py.2] import base class B(base.AS): pass [file base.py] class AI: x: int class AS: x: str [out] == main:9: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testOverloadsUpdatedTypeRecheckConsistency] from typing import overload import mod class Outer: @overload def f(self, x: mod.D) -> mod.D: pass @overload def f(self, x: mod.E) -> mod.E: pass def f(self, x: mod.C) -> mod.C: pass [file mod.py] class C: pass class D(C): pass class E(C): pass [file mod.py.2] class C: pass class D(C): pass class E: pass [out] == main:8: error: Overloaded function implementation does not accept all possible arguments of signature 2 main:8: error: Overloaded function implementation cannot produce return type of signature 2 [case testOverloadsGenericTypevarUpdated] import a [file a.py] import b b.f(int()) [file b.py] from typing import overload import c class C: pass @overload def f(x: C) -> None: pass @overload def f(x: c.T) -> c.T: pass def f(x): pass [file c.py] from typing import TypeVar T = TypeVar('T', int, str) [file c.py.2] from typing import TypeVar T = TypeVar('T', bound=str) [out] == a.py:2: error: No overload variant of "f" matches argument type "int" a.py:2: note: Possible overload variants: a.py:2: note: def f(x: C) -> None a.py:2: note: def [c.T: str] f(x: c.T) -> c.T [case testOverloadsGenericToNonGeneric] import a [file a.py] import b b.f(int()) [file b.py] from typing import overload import c class C: pass @overload def f(x: C) -> None: pass @overload def f(x: c.T) -> c.T: pass def f(x): pass [file c.py] from typing import TypeVar T = TypeVar('T', bound=int) [file c.py.2] from typing import TypeVar class T: pass [out] == a.py:2: error: No overload variant of "f" matches argument type "int" a.py:2: note: Possible overload variants: a.py:2: note: def f(x: C) -> None a.py:2: note: def f(x: T) -> T [case testOverloadsToNonOverloaded] import a [file a.py] import mod def f() -> None: x: str = mod.f(str()) [file mod.py] from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass def f(x): pass [file mod.py.2] from typing import overload def f(x: int) -> int: pass [out] == a.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") a.py:3: error: Argument 1 to "f" has incompatible type "str"; expected "int" [case testOverloadsUpdateFunctionToOverloaded] import a [file a.py] import mod def f() -> None: x: str = mod.f(str()) [file mod.py] from typing import overload def f(x: str) -> str: pass [file mod.py.2] from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: str) -> int: pass def f(x): pass [out] == a.py:3: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testOverloadedUpdateToClass] import a [file a.py] import mod def f() -> None: x: str = mod.f(str()) [file mod.py] from typing import overload @overload def f(x: int) -> None: pass @overload def f(x: str) -> str: pass def f(x): pass [file mod.py.2] from typing import overload class f: def __init__(self, x: str) -> None: pass [out] == a.py:3: error: Incompatible types in assignment (expression has type "f", variable has type "str") [case testDepsFromOverloadUpdatedAttrRecheckImpl] import mod x = mod.f [file mod.py] from typing import overload, Any import submod @overload def f(x: int) -> submod.A: pass @overload def f(x: str) -> submod.B: pass def f(x) -> Any: y: submod.C y.x = int() [file submod.py] import other class A: pass class B: pass C = other.C [file other.py] class C: x: int [file other.py.2] class C: x: str [out] == mod.py:9: error: Incompatible types in assignment (expression has type "int", variable has type "str") [case testOverloadedMethodSupertype] from typing import overload, Any import b class Child(b.Parent): @overload # Fail def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Any) -> Any: ... [file b.py] from typing import overload, Any class C: pass class Parent: @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> str: ... def f(self, arg: Any) -> Any: ... [file b.py.2] from typing import overload, Any class C: pass class Parent: @overload def f(self, arg: int) -> int: ... @overload def f(self, arg: str) -> C: ... def f(self, arg: Any) -> Any: ... [out] == main:4: error: Signature of "f" incompatible with supertype "b.Parent" main:4: note: Superclass: main:4: note: @overload main:4: note: def f(self, arg: int) -> int main:4: note: @overload main:4: note: def f(self, arg: str) -> C main:4: note: Subclass: main:4: note: @overload main:4: note: def f(self, arg: int) -> int main:4: note: @overload main:4: note: def f(self, arg: str) -> str [case testOverloadedInitSupertype] import a [file a.py] from b import B B(int()) [file b.py] import c class B(c.C): pass [file c.py] from typing import overload class C: def __init__(self, x: int) -> None: pass [file c.py.2] from typing import overload class C: @overload def __init__(self, x: str) -> None: pass @overload def __init__(self, x: str, y: int) -> None: pass def __init__(self, *args, **kwargs) -> None: pass [builtins fixtures/dict.pyi] [out] == a.py:2: error: No overload variant of "B" matches argument type "int" a.py:2: note: Possible overload variants: a.py:2: note: def __init__(self, x: str) -> B a.py:2: note: def __init__(self, x: str, y: int) -> B [case testOverloadedToNormalMethodMetaclass] import a [file a.py] import b b.B.f(int()) [file b.py] import c class B(metaclass=c.M): pass [file c.py] from typing import overload class M(type): @overload def f(cls, x: str) -> str: pass @overload def f(cls, x: int) -> None: pass def f(cls, x): pass [file c.py.2] from typing import overload class M(type): def f(cls, x: str) -> str: pass [out] == a.py:2: error: Argument 1 to "f" of "M" has incompatible type "int"; expected "str" [case testYieldFrom] from typing import Iterator from a import f def g() -> Iterator[int]: a = "string" if int(): a = yield from f() [file a.py] from typing import Generator def f() -> Generator[int, None, str]: yield 5 return "ham" [file a.py.2] from typing import Generator class A: pass def f() -> Generator[int, None, A]: yield 5 return A() [out] == main:7: error: Incompatible types in assignment (expression has type "A", variable has type "str") [case testFString] from a import g f'{g(1)}' [file a.py] def g(x: int) -> str: pass [file a.py.2] def g(x: str) -> str: pass [builtins fixtures/f_string.pyi] [out] == main:2: error: Argument 1 to "g" has incompatible type "int"; expected "str" [case testExtendedUnpacking-only_when_nocache] from typing import List from a import g def f() -> List[int]: a, *b = g() return b [file a.py] from typing import Tuple def g() -> Tuple[str, int, int]: pass [file a.py.2] from typing import Tuple def g() -> Tuple[str, str]: pass [builtins fixtures/tuple.pyi] [out] == main:5: error: Incompatible return value type (got "list[str]", expected "list[int]") [case testUnpackInExpression1-only_when_nocache] from typing import Tuple, List from a import t def f() -> Tuple[int, int]: return (1, *t()) def g() -> List[int]: return [1, *t()] [file a.py] from typing import Tuple def t() -> Tuple[int]: ... [file a.py.2] from typing import Tuple def t() -> Tuple[str]: ... [builtins fixtures/list.pyi] [out] == main:5: error: Incompatible return value type (got "tuple[int, str]", expected "tuple[int, int]") main:8: error: List item 1 has incompatible type "tuple[str]"; expected "int" [case testUnpackInExpression2-only_when_nocache] from typing import Set from a import t def f() -> Set[int]: return {1, *t()} [file a.py] from typing import Tuple def t() -> Tuple[int]: pass [file a.py.2] from typing import Tuple def t() -> Tuple[str]: pass [builtins fixtures/set.pyi] [out] == main:5: error: Argument 2 to has incompatible type "*tuple[str]"; expected "int" [case testUnpackInExpression3-only_when_nocache] from typing import Dict from a import d def f() -> Dict[int, str]: return {1: '', **d()} [file a.py] from typing import Dict def d() -> Dict[int, str]: pass [file a.py.2] from typing import Dict def d() -> Dict[int, int]: pass [builtins fixtures/dict.pyi] [out] == main:5: error: Unpacked dict entry 1 has incompatible type "dict[int, int]"; expected "SupportsKeysAndGetItem[int, str]" [case testAwaitAndAsyncDef-only_when_nocache] from a import g async def f() -> int: return await g() [file a.py] async def g() -> int: return 0 [file a.py.2] async def g() -> str: return '' [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] == main:4: error: Incompatible return value type (got "str", expected "int") [case testAwaitAnd__await__-only_when_nocache] from a import C async def f(c: C) -> int: return await c [file a.py] from typing import Any, Generator class C: def __await__(self) -> Generator[Any, None, int]: yield return 0 [file a.py.2] from typing import Any, Generator class C: def __await__(self) -> Generator[Any, None, str]: yield return '' [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] == main:4: error: Incompatible return value type (got "str", expected "int") [case test__aiter__and__anext__] from a import C async def f() -> int: async for x in C(): pass return x [file a.py] class C: def __aiter__(self) -> D: pass class D: def __aiter__(self) -> D: pass async def __anext__(self) -> int: return 0 [file a.py.2] class C: def __aiter__(self) -> D: pass class D: def __aiter__(self) -> D: pass async def __anext__(self) -> str: return '' [file a.py.3] class C: def __aiter__(self) -> E: pass class E: def __aiter__(self) -> E: pass async def __anext__(self) -> object: return 0 [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] == main:6: error: Incompatible return value type (got "str", expected "int") == main:6: error: Incompatible return value type (got "object", expected "int") [case testAsyncWith2-only_when_nocache] from a import C async def f() -> int: async with C() as x: return x async def g() -> None: async with C(): pass [file a.py] class C: async def __aenter__(self) -> int: pass async def __aexit__(self, x, y, z) -> None: pass [file a.py.2] class C: async def __aenter__(self) -> str: pass async def __aexit__(self, x, y, z) -> None: pass [file a.py.3] from typing import Awaitable class C: async def __aenter__(self) -> int: pass async def __aexit__(self, x, y, z) -> None: pass [file a.py.4] from typing import Awaitable class C: async def __aenter__(self) -> int: pass [builtins fixtures/async_await.pyi] [typing fixtures/typing-async.pyi] [out] == main:5: error: Incompatible return value type (got "str", expected "int") == == main:4: error: "C" has no attribute "__aexit__" main:8: error: "C" has no attribute "__aexit__" [case testLiskovFineVariable] import b class A(b.B): x: str def f(x: b.B) -> None: x.x + int() f(A()) [file b.py] class B: x: str [file b.py.2] class B: x: int [builtins fixtures/primitives.pyi] [out] main:5: error: Unsupported operand types for + ("str" and "int") == main:3: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testLiskovFineVariableInFunction] from b import B def outer() -> None: class A(B): x: str def f(x: B) -> None: x.x + int() [file b.py] class B: x: str [file b.py.2] class B: x: int [builtins fixtures/primitives.pyi] [out] main:6: error: Unsupported operand types for + ("str" and "int") == main:4: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testLiskovFineDecorator] import b from c import deco class A(b.B): @deco def m(self) -> str: pass def f(x: b.B) -> None: x.m() + int() f(A()) [file b.py] from c import deco class B: @deco def m(self) -> str: pass [file b.py.2] from c import deco class B: @deco def m(self) -> int: pass [file c.py] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deco(f: F) -> F: pass [builtins fixtures/primitives.pyi] [out] main:7: error: Unsupported operand types for + ("str" and "int") == main:5: error: Return type "str" of "m" incompatible with return type "int" in supertype "b.B" [case testLiskovFineVariableClean-only_when_nocache] import b class A(b.B): x: str [file b.py] class B: x: str [file b.py.2] class B: x: int [out] == main:3: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testLiskovFineVariableCleanDefInMethod-only_when_nocache] import b class A(b.B): def meth(self) -> None: self.x: str [file b.py] class B: x: str [file b.py.2] class B: x: int [out] == main:4: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testLiskovFineVariableCleanDefInMethodStar-only_when_nocache] from typing import List import b class A(b.B): def meth(self) -> None: self.x: str self.y: List[str] [file b.py] from typing import List class B: y: List[str] [file b.py.2] from typing import List class B: y: List[int] [builtins fixtures/list.pyi] [out] == main:6: error: Incompatible types in assignment (expression has type "list[str]", base class "B" defined the type as "list[int]") [case testLiskovFineVariableCleanDefInMethodNested-only_when_nocache] from b import B def outer() -> None: class A(B): def meth(self) -> None: self.x: str [file b.py] class B: x: str [file b.py.2] class B: x: int [out] == main:5: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testLiskovFineVariableInFunctionClean-only_when_nocache] from b import B def outer() -> None: class A(B): x: str [file b.py] class B: x: str [file b.py.2] class B: x: int [out] == main:4: error: Incompatible types in assignment (expression has type "str", base class "B" defined the type as "int") [case testLiskovFineDecoratorClean-only_when_nocache] import b from c import deco class A(b.B): @deco def m(self) -> str: pass [file b.py] from c import deco class B: @deco def m(self) -> str: pass [file b.py.2] from c import deco class B: @deco def m(self) -> int: pass [file c.py] from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def deco(f: F) -> F: pass [out] == main:5: error: Return type "str" of "m" incompatible with return type "int" in supertype "b.B" [case testAddAbstractMethod] from b import D D() [file b.py] from a import C class D(C): def f(self) -> None: pass [file a.py] from abc import abstractmethod class C: @abstractmethod def f(self) -> None: pass [file a.py.2] from abc import abstractmethod class C: @abstractmethod def f(self) -> None: pass @abstractmethod def g(self) -> None: pass [file a.py.3] from abc import abstractmethod class C: @abstractmethod def f(self) -> None: pass def g(self) -> None: pass [out] == main:2: error: Cannot instantiate abstract class "D" with abstract attribute "g" == [case testMakeClassAbstract] from a import C c = C() [file a.py] from abc import abstractmethod class C: pass [file a.py.2] from abc import abstractmethod class C: @abstractmethod def f(self) -> None: pass [out] == main:2: error: Cannot instantiate abstract class "C" with abstract attribute "f" [case testMakeMethodNoLongerAbstract1] [file z.py] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass @abstractmethod def g(self) -> None: pass [file b.py] import z def x() -> Foo: return Foo() class Foo(z.I): def f(self) -> None: pass def g(self) -> None: pass [file z.py.2] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): def f(self) -> None: pass @abstractmethod def g(self) -> None: pass [file b.py.2] import z def x() -> Foo: return Foo() class Foo(z.I): def g(self) -> None: pass [out] == [case testMakeMethodNoLongerAbstract2] -- this version never failed, but it is just a file-renaming -- away from the above test that did [file a.py] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): @abstractmethod def f(self) -> None: pass @abstractmethod def g(self) -> None: pass [file b.py] import a def x() -> Foo: return Foo() class Foo(a.I): def f(self) -> None: pass def g(self) -> None: pass [file a.py.2] from abc import abstractmethod, ABCMeta class I(metaclass=ABCMeta): def f(self) -> None: pass @abstractmethod def g(self) -> None: pass [file b.py.2] import a def x() -> Foo: return Foo() class Foo(a.I): def g(self) -> None: pass [out] == [case testImplicitOptionalRefresh1] # flags: --implicit-optional from x import f def foo(x: int = None) -> None: f() [file x.py] def f() -> int: return 0 [file x.py.2] def f() -> str: return '0' [out] == [case testRefreshIgnoreErrors1] [file mypy.ini] \[mypy] \[mypy-b] ignore_errors = True [file a.py] y = '1' [file a.py.2] y = 1 [file b.py] from a import y def fu() -> None: 1+'lurr' y [out] == [case testRefreshIgnoreErrors2] [file mypy.ini] \[mypy] \[mypy-b] ignore_errors = True [file b.py] def fu() -> int: 1+'lurr' return 1 [file b.py.2] def fu() -> int: 1+'lurr' return 2 [out] == [case testRefreshOptions] [file mypy.ini] \[mypy] disallow_any_generics = True \[mypy-b] disallow_any_generics = False [file a.py] y = '1' [file a.py.2] y = 1 [file b.py] from typing import List from a import y x = [] # type: List [builtins fixtures/list.pyi] [out] == [case testNamedTupleFallbackModule] import b [file b.py] from a import A def f(a: A): pass [file b.py.2] from a import A def f(a: A): reveal_type(a) [file a.py] from typing import NamedTuple F = [('x', int)] A = NamedTuple('A', F) # type: ignore [builtins fixtures/list.pyi] [out] == b.py:3: note: Revealed type is "tuple[(), fallback=a.A]" [case testImportOnTopOfAlias1] from a import A x: A [file a.py] from typing import TypeVar, List T = TypeVar('T') A = List[T] [file a.py.2] from typing import TypeVar, List T = TypeVar('T') A = List[T] from b import A [file b.py] # empty [builtins fixtures/list.pyi] [out] == a.py:4: error: Module "b" has no attribute "A" a.py:4: error: Name "A" already defined on line 3 -- the order of errors is different with cache [case testImportOnTopOfAlias2] from a import A x: A [file a.py] from typing import TypeVar, List T = TypeVar('T') A = List[T] [file a.py.2] from typing import TypeVar, List T = TypeVar('T') A = List[T] from b import A as A [file b.py] def A(x: str) -> str: pass [builtins fixtures/list.pyi] [out] == a.py:4: error: Incompatible import of "A" (imported name has type "Callable[[str], str]", local name has type "type[list[Any]]") [case testFakeOverloadCrash] import b [file a.py] def dec(fun): pass a = 1 [file a.py.2] def dec(fun): pass a = 2 [file b.py] from a import dec @dec def a(): pass @dec def a(): pass [out] b.py:5: error: Name "a" already defined on line 2 == b.py:5: error: Name "a" already defined on line 2 [case testFakeOverloadCrash2] # this test just should not crash import a [file a.py] T = TypeVar("T") def foo(func): return func @foo def bar(x: T) -> T: pass @foo def bar(x: T) -> T: pass [file a.py.2] T = TypeVar("T") def foo(func): return func @foo def bar(x: T) -> T: pass @foo def bar(x: T) -> T: pass x = 1 [out] a.py:1: error: Name "TypeVar" is not defined a.py:1: note: Did you forget to import it from "typing"? (Suggestion: "from typing import TypeVar") a.py:7: error: Variable "a.T" is not valid as a type a.py:7: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases a.py:10: error: Name "bar" already defined on line 6 a.py:11: error: Variable "a.T" is not valid as a type a.py:11: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases == a.py:1: error: Name "TypeVar" is not defined a.py:1: note: Did you forget to import it from "typing"? (Suggestion: "from typing import TypeVar") a.py:7: error: Variable "a.T" is not valid as a type a.py:7: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases a.py:10: error: Name "bar" already defined on line 6 a.py:11: error: Variable "a.T" is not valid as a type a.py:11: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testRefreshForWithTypeComment1] [file a.py] from typing import List import b def foo(l: List[int]) -> None: for x in l: # type: object pass x = object() b.x [file b.py] x = 1 [file b.py.2] x = '1' [builtins fixtures/list.pyi] [out] == [case testRefreshForWithTypeComment2] from typing import List, Any import m def f(x: List[Any]) -> None: for a in x: # type: m.A pass [file m.py] class A: pass [file m.py.2] [builtins fixtures/list.pyi] [out] == main:4: error: Name "m.A" is not defined [case testIdLikeDecoForwardCrash] import b [file b.py] from typing import Callable, Any, TypeVar F = TypeVar('F_BadName', bound=Callable[..., Any]) # type: ignore def deco(func: F) -> F: # type: ignore pass @deco def test(x: int, y: int) -> str: pass [file b.py.2] from typing import Callable, Any, TypeVar F = TypeVar('F_BadName', bound=Callable[..., Any]) # type: ignore def deco(func: F) -> F: # type: ignore pass @deco def test(x: int, y: int) -> str: pass x = 1 [builtins fixtures/tuple.pyi] [out] == [case testIdLikeDecoForwardCrashAlias] # flags: --disable-error-code used-before-def import b [file b.py] from typing import Callable, Any, TypeVar F = TypeVar('F', bound=Func) def deco(func: F) -> F: pass @deco def test(x: int, y: int) -> str: pass Func = Callable[..., Any] [file b.py.2] from typing import Callable, Any, TypeVar F = TypeVar('F', bound=Func) def deco(func: F) -> F: pass @deco def test(x: int, y: int) -> str: pass x = 1 Func = Callable[..., Any] [out] == -- Test cases for final qualifier [case testFinalAddFinalVarAssignFine] import mod from a import D from mod import x x = 2 def outer() -> None: mod.x = 2 x = 2 # This is OK because it creates a local variable d: D d.y = 2 d.z = 2 D.y = 2 [file a.py] import mod class D(mod.C): pass [file mod.py] x = 1 class C: y = 1 def __init__(self) -> None: self.z = 1 [file mod.py.2] from typing import Final x: Final = 1 class C: y: Final = 1 def __init__(self) -> None: self.z: Final = 1 [out] == main:5: error: Cannot assign to final name "x" main:7: error: Cannot assign to final name "x" main:10: error: Cannot assign to final attribute "y" main:11: error: Cannot assign to final attribute "z" main:12: error: Cannot assign to final attribute "y" [case testFinalAddFinalVarOverrideFine] from mod import C class D(C): x = 2 def __init__(self) -> None: self.y = 2 class E(C): y = 2 def __init__(self) -> None: self.x = 2 [file mod.py] class C: x = 1 def __init__(self) -> None: self.y = 1 [file mod.py.2] from typing import Final class C: x: Final = 1 def __init__(self) -> None: self.y: Final = 1 [out] == main:4: error: Cannot assign to final name "x" main:6: error: Cannot assign to final attribute "y" main:8: error: Cannot assign to final name "y" main:10: error: Cannot assign to final attribute "x" [case testFinalAddFinalMethodOverrideFine] from mod import C class D(C): def meth(self) -> int: ... [file mod.py] class C: def meth(self) -> int: ... [file mod.py.2] from typing import final class C: @final def meth(self) -> int: ... [out] == main:4: error: Cannot override final attribute "meth" (previously declared in base class "C") [case testFinalAddFinalMethodOverrideWithVarFine] from mod import C from typing import Any class D(C): meth: Any = 2 def __init__(self) -> None: self.other: Any = 2 [file mod.py] class C: def meth(self) -> int: ... def other(self) -> int: ... [file mod.py.2] from typing import final class C: @final def meth(self) -> int: ... @final def other(self) -> int: ... [out] == main:5: error: Cannot override final attribute "meth" (previously declared in base class "C") main:7: error: Cannot assign to final attribute "other" main:7: error: Cannot override final attribute "other" (previously declared in base class "C") [case testFinalAddFinalMethodOverrideOverloadFine] from typing import overload from mod import C def outer() -> None: class D(C): @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... def meth(self, x): pass [file mod.pyi] from typing import overload class C: @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... [file mod.pyi.2] from typing import final, overload class C: @final @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... [out] == main:6: error: Cannot override final attribute "meth" (previously declared in base class "C") [case testFinalAddFinalPropertyWithVarFine] from mod import C def outer() -> None: class D(C): p = 2 class E(C): def __init__(self) -> None: self.p: int = 2 [file mod.py] class C: @property def p(self) -> int: pass [file mod.py.2] from typing import final class C: @final @property def p(self) -> int: pass [builtins fixtures/property.pyi] [out] == main:5: error: Cannot override final attribute "p" (previously declared in base class "C") main:8: error: Cannot assign to final attribute "p" main:8: error: Cannot override final attribute "p" (previously declared in base class "C") [case testFinalBodyReprocessedAndStillFinal] import a [file a.py] from c import C class A: def meth(self) -> None: ... [file a.py.3] from c import C class A(C): def meth(self) -> None: ... [file c.py] from typing import final from d import D class C: @final def meth(self) -> None: D(int()) [file d.py] class D: def __init__(self, x: int) -> None: ... [file d.py.2] from typing import Optional class D: def __init__(self, x: Optional[int]) -> None: ... [out] == == a.py:3: error: Cannot override final attribute "meth" (previously declared in base class "C") [case testFinalBodyReprocessedAndStillFinalOverloaded] import a [file a.py] from c import C class A: def meth(self) -> None: ... [file a.py.3] from c import C class A(C): def meth(self) -> None: ... [file c.py] from typing import final, overload, Union from d import D class C: @overload def meth(self, x: int) -> int: ... @overload def meth(self, x: str) -> str: ... @final def meth(self, x: Union[int, str]) -> Union[int, str]: D(int()) return x [file d.py] class D: def __init__(self, x: int) -> None: ... [file d.py.2] from typing import Optional class D: def __init__(self, x: Optional[int]) -> None: ... [out] == == a.py:3: error: Cannot override final attribute "meth" (previously declared in base class "C") a.py:3: error: Signature of "meth" incompatible with supertype "c.C" a.py:3: note: Superclass: a.py:3: note: @overload a.py:3: note: def meth(self, x: int) -> int a.py:3: note: @overload a.py:3: note: def meth(self, x: str) -> str a.py:3: note: Subclass: a.py:3: note: def meth(self) -> None [case testIfMypyUnreachableClass] from a import x MYPY = False if MYPY: pass else: class A: pass y: int = x [file a.py] x = 1 [file a.py.2] x = 2 [builtins fixtures/bool.pyi] [out] == [case testIfTypeCheckingUnreachableClass] from a import x from typing import TYPE_CHECKING if not TYPE_CHECKING: class A(int): pass else: A = int y: A = x [file a.py] x = 1 [file a.py.2] x = 2 [file a.py.3] x = 'no way' [builtins fixtures/bool.pyi] [typing fixtures/typing-medium.pyi] [out] == == main:10: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testNamedTupleForwardFunctionDirect] # flags: --ignore-missing-imports from typing import NamedTuple from b import B NT = NamedTuple('NT', [('x', B)]) [file b.py.2] def func(x): pass B = func [builtins fixtures/tuple.pyi] [out] == main:5: error: Variable "b.B" is not valid as a type main:5: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testNamedTupleForwardFunctionIndirect] # flags: --ignore-missing-imports from typing import NamedTuple from a import A NT = NamedTuple('NT', [('x', A)]) [file a.py] from b import B A = B [file b.py.2] def func(x): pass B = func [builtins fixtures/tuple.pyi] [out] == main:5: error: Variable "a.A" is not valid as a type main:5: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testNamedTupleForwardFunctionIndirectReveal] # flags: --ignore-missing-imports import m [file m.py] from typing import NamedTuple from a import A NT = NamedTuple('NT', [('x', A)]) [file m.py.3] from typing import NamedTuple from a import A NT = NamedTuple('NT', [('x', A)]) reveal_type(NT.x) x: NT reveal_type(x.x) [file a.py] from b import B A = B [file b.py.2] def func(x): pass B = func [builtins fixtures/tuple.pyi] [out] == m.py:4: error: Variable "a.A" is not valid as a type m.py:4: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases == m.py:4: error: Variable "a.A" is not valid as a type m.py:4: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases m.py:5: note: Revealed type is "Any" m.py:7: note: Revealed type is "Any" [case testAliasForwardFunctionDirect] # flags: --ignore-missing-imports from typing import Optional from b import B Alias = Optional[B] [file b.py.2] def func(x): pass B = int() [out] == main:5: error: Variable "b.B" is not valid as a type main:5: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testAliasForwardFunctionIndirect] # flags: --ignore-missing-imports from typing import Optional from a import A Alias = Optional[A] [file a.py] from b import B A = B [file b.py.2] def func(x): pass B = func [out] == main:5: error: Variable "a.A" is not valid as a type main:5: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testLiteralFineGrainedVarConversion] import mod reveal_type(mod.x) [file mod.py] x = 1 [file mod.py.2] from typing import Literal x: Literal[1] = 1 [file mod.py.3] from typing import Literal x: Literal[1] = 2 [builtins fixtures/tuple.pyi] [out] main:2: note: Revealed type is "builtins.int" == main:2: note: Revealed type is "Literal[1]" == main:2: note: Revealed type is "Literal[1]" mod.py:2: error: Incompatible types in assignment (expression has type "Literal[2]", variable has type "Literal[1]") [case testLiteralFineGrainedFunctionConversion] from mod import foo foo(3) [file mod.py] def foo(x: int) -> None: pass [file mod.py.2] from typing import Literal def foo(x: Literal[3]) -> None: pass [file mod.py.3] from typing import Literal def foo(x: Literal[4]) -> None: pass [builtins fixtures/tuple.pyi] [out] == == main:2: error: Argument 1 to "foo" has incompatible type "Literal[3]"; expected "Literal[4]" [case testLiteralFineGrainedAlias] from mod import Alias a: Alias = 1 [file mod.py] Alias = int [file mod.py.2] from typing import Literal Alias = Literal[1] [file mod.py.3] from typing import Literal Alias = Literal[2] [builtins fixtures/tuple.pyi] [out] == == main:2: error: Incompatible types in assignment (expression has type "Literal[1]", variable has type "Literal[2]") [case testLiteralFineGrainedOverload] from mod import foo reveal_type(foo(4)) [file mod.py] from typing import Literal, overload @overload def foo(x: int) -> str: ... @overload def foo(x: Literal['bar']) -> int: ... def foo(x): pass [file mod.py.2] from typing import Literal, overload @overload def foo(x: Literal[4]) -> Literal['foo']: ... @overload def foo(x: int) -> str: ... @overload def foo(x: Literal['bar']) -> int: ... def foo(x): pass [builtins fixtures/tuple.pyi] [out] main:2: note: Revealed type is "builtins.str" == main:2: note: Revealed type is "Literal['foo']" [case testLiteralFineGrainedChainedDefinitions] from mod1 import foo from typing import Literal def expect_3(x: Literal[3]) -> None: pass expect_3(foo) [file mod1.py] from mod2 import bar foo = bar [file mod2.py] from mod3 import qux as bar [file mod3.py] from typing import Literal qux: Literal[3] [file mod3.py.2] from typing import Literal qux: Literal[4] [builtins fixtures/tuple.pyi] [out] == main:4: error: Argument 1 to "expect_3" has incompatible type "Literal[4]"; expected "Literal[3]" [case testLiteralFineGrainedChainedAliases] from mod1 import Alias1 from typing import Literal x: Alias1 def expect_3(x: Literal[3]) -> None: pass expect_3(x) [file mod1.py] from mod2 import Alias2 Alias1 = Alias2 [file mod2.py] from mod3 import Alias3 Alias2 = Alias3 [file mod3.py] from typing import Literal Alias3 = Literal[3] [file mod3.py.2] from typing import Literal Alias3 = Literal[4] [builtins fixtures/tuple.pyi] [out] == main:5: error: Argument 1 to "expect_3" has incompatible type "Literal[4]"; expected "Literal[3]" [case testLiteralFineGrainedChainedFunctionDefinitions] from mod1 import func1 from typing import Literal def expect_3(x: Literal[3]) -> None: pass expect_3(func1()) [file mod1.py] from mod2 import func2 as func1 [file mod2.py] from mod3 import func3 func2 = func3 [file mod3.py] from typing import Literal def func3() -> Literal[3]: pass [file mod3.py.2] from typing import Literal def func3() -> Literal[4]: pass [builtins fixtures/tuple.pyi] [out] == main:4: error: Argument 1 to "expect_3" has incompatible type "Literal[4]"; expected "Literal[3]" [case testLiteralFineGrainedChainedTypeVarInference] from mod1 import foo reveal_type(foo) [file mod1.py] from typing import TypeVar from mod2 import bar T = TypeVar('T', bound=int) def func(x: T) -> T: return x foo = func(bar) [file mod2.py] bar = 3 [file mod2.py.2] from typing import Literal bar: Literal[3] = 3 [builtins fixtures/tuple.pyi] [out] main:2: note: Revealed type is "builtins.int" == main:2: note: Revealed type is "Literal[3]" [case testLiteralFineGrainedChainedViaFinal] from mod1 import foo from typing import Literal def expect_3(x: Literal[3]) -> None: pass expect_3(foo) [file mod1.py] from typing import Final from mod2 import bar foo: Final = bar [file mod2.py] from mod3 import qux as bar [file mod3.py] from typing import Final qux: Final = 3 [file mod3.py.2] from typing import Final qux: Final = 4 [file mod3.py.3] from typing import Final qux: Final[int] = 4 [builtins fixtures/tuple.pyi] [out] == main:4: error: Argument 1 to "expect_3" has incompatible type "Literal[4]"; expected "Literal[3]" == main:4: error: Argument 1 to "expect_3" has incompatible type "int"; expected "Literal[3]" [case testLiteralFineGrainedStringConversionPython3] from mod1 import foo reveal_type(foo) [file mod1.py] from mod2 import bar foo = bar() [file mod2.py] from typing import Literal def bar() -> Literal["foo"]: pass [file mod2.py.2] from typing import Literal def bar() -> Literal[u"foo"]: pass [file mod2.py.3] from typing import Literal def bar() -> Literal[b"foo"]: pass [builtins fixtures/tuple.pyi] [out] main:2: note: Revealed type is "Literal['foo']" == main:2: note: Revealed type is "Literal['foo']" == main:2: note: Revealed type is "Literal[b'foo']" [case testReprocessModuleTopLevelWhileMethodDefinesAttr] import a [file a.py] from b import B B().x [file a.py.3] from b import B x = B().x [file b.py] from c import f f(int()) class B: def meth(self) -> None: self.x: int [file c.py] def f(x: int) -> None: ... [file c.py.2] from typing import Union def f(x: Union[int, str]) -> None: ... [targets2 c, b] [targets3 a] [builtins fixtures/tuple.pyi] [out] == == [case testCheckReprocessedTargets-only_when_nocache] from b import B class C(B): def meth(self) -> None: from b import f f() [file b.py] class B: ... def f() -> int: ... [file b.py.2] class A: ... class B(A): ... def f() -> int: ... [file b.py.3] class A: ... class B(A): ... def f() -> str: ... [targets2 b, __main__, __main__.C.meth, __main__, __main__.C.meth] [targets3 b, __main__.C.meth] [out] == == [case testReprocessModuleTopLevelWhileMethodDefinesAttrExplicit] import a [file a.py] from b import B B().x [file b.py] from c import f f(int()) class A: x: int class B(A): def meth(self) -> None: self.x: int [file c.py] def f(x: int) -> None: ... [file c.py.2] from typing import Union def f(x: Union[int, str]) -> None: ... [file a.py.3] from b import B # Double-check the variable is still accessible. B().x [targets2 c, b] [targets3 a] [builtins fixtures/tuple.pyi] [out] == == [case testReprocessModuleTopLevelWhileMethodDefinesAttrBothExplicitAndInClass] import a [file a.py] from b import B B().x [file b.py] from c import f f(int()) class A: x: int class B(A): x: int def meth(self) -> None: self.x: int [file c.py] def f(x: int) -> None: ... [file c.py.2] from typing import Union def f(x: Union[int, str]) -> None: ... [file a.py.3] from b import B # Double-check the variable is still accessible. B().x [targets2 c, b] [targets3 a] [builtins fixtures/tuple.pyi] [out] == == [case testReprocessModuleTopLevelWhileMethodDefinesAttrProtocol] import a [file a.py] from b import B B().x [file b.py] from typing import Protocol from c import f f(int()) class A(Protocol): x: int class B(A): def meth(self) -> None: self.x = 42 [file c.py] def f(x: int) -> None: ... [file c.py.2] from typing import Union def f(x: Union[int, str]) -> None: ... [file a.py.3] from b import B # Double-check the variable is still accessible. B().x [targets2 c, b] [targets3 a] [out] == == [case testNewSemanticAnalyzerUpdateMethodAndClass] import m m.x class A: def f(self) -> None: self.x = 0 m.y def g(self) -> None: m.x [file m.py] x = 0 y = 0 [file m.py.2] x = '' y = 0 [file m.py.3] x = '' y = '' [out] == == [case testInlineConfigFineGrained1] import a [file a.py] # mypy: no-warn-no-return from typing import List, Optional def foo() -> Optional[List]: 20 [file a.py.2] # mypy: disallow-any-generics, no-warn-no-return from typing import List, Optional def foo() -> Optional[List]: 20 [file a.py.3] # mypy: no-warn-no-return from typing import List, Optional def foo() -> Optional[List]: 20 [file a.py.4] from typing import List, Optional def foo() -> Optional[List]: 20 [out] == a.py:4: error: Missing type parameters for generic type "List" == == a.py:2: error: Missing return statement [builtins fixtures/list.pyi] [case testInlineConfigFineGrained2] import a [file a.py] # mypy: bogus-flag [file b.py.2] [out] a.py:1: error: Unrecognized option: bogus_flag = True == a.py:1: error: Unrecognized option: bogus_flag = True [case testWrongNumberOfArguments] [file a.py] def bar(x): # type: () -> None pass def baz(x): # type: () -> None pass def f(): # type: () -> None def g(x): # type: () -> None pass [file c.py] def bar(x): # type: () -> None pass [file b.py] x = '' [file b.py.2] x = 1 [out] c.py:1: error: Type signature has too few arguments a.py:1: error: Type signature has too few arguments a.py:5: error: Type signature has too few arguments a.py:11: error: Type signature has too few arguments == c.py:1: error: Type signature has too few arguments a.py:1: error: Type signature has too few arguments a.py:5: error: Type signature has too few arguments a.py:11: error: Type signature has too few arguments [case testErrorReportingNewAnalyzer] # flags: --disallow-any-generics from a import A def f() -> None: x: A [file a.py] class A: ... [file a.py.2] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): ... [out] == main:5: error: Missing type parameters for generic type "A" [case testStripNewAnalyzer] # flags: --ignore-missing-imports import a [file a.py] from typing import List from b import B class A: def __init__(self) -> None: self.x: List[int] = [] def method(self) -> None: B() self.x = [] [file b.py] class B: ... [delete b.py.2] [builtins fixtures/list.pyi] [out] == [case testClassVariableOrderingRefresh] from b import bar def foo(x: str) -> None: pass class Something: def run(self) -> None: bar() foo(self.IDS[0]) IDS = [87] [file b.py] def bar() -> int: return 0 [file b.py.2] def bar() -> str: return '0' [builtins fixtures/list.pyi] [out] main:9: error: Argument 1 to "foo" has incompatible type "int"; expected "str" == main:9: error: Argument 1 to "foo" has incompatible type "int"; expected "str" [case testInfiniteLoop] [file a.py] from b import f from typing import Callable, TypeVar F = TypeVar('F', bound=Callable) def dec(x: F) -> F: return x @dec def foo(self): class A: @classmethod def asdf(cls, x: 'A') -> None: pass @dec def bar(self): class B: @classmethod def asdf(cls, x: 'B') -> None: pass f() [file b.py] def f() -> int: pass [file b.py.2] def f() -> str: pass [builtins fixtures/classmethod.pyi] [out] == [case testInfiniteLoop2] [file a.py] from b import f from typing import Callable, TypeVar, NamedTuple F = TypeVar('F', bound=Callable) def dec(x: F) -> F: return x @dec def foo(self): N = NamedTuple('N', [('x', int)]) def g(x: N) -> None: pass @dec def bar(self): N = NamedTuple('N', [('x', int)]) def g(x: N) -> None: pass f() [file b.py] def f() -> int: pass [file b.py.2] def f() -> str: pass [builtins fixtures/classmethod.pyi] [out] == [case testFileAddedAndImported] # flags: --ignore-missing-imports --follow-imports=skip # cmd: mypy a.py # cmd2: mypy a.py b.py [file a.py] from b import bad x = 42 [file b.py.2] def good() -> None: ... [out] == a.py:1: error: Module "b" has no attribute "bad" [case testFileAddedAndImported2] # flags: --ignore-missing-imports --follow-imports=skip # cmd: mypy -m a # cmd2: mypy -m a b [file a.py] x = 42 [file a.py.2] from b import bad x = 42 [file b.py.2] def good() -> None: ... [out] == a.py:1: error: Module "b" has no attribute "bad" [case testTypedDictCrashFallbackAfterDeletedMeet] # flags: --ignore-missing-imports from z import get_data from a import Data for it in get_data()['things']: it['id'] [file z.py] from a import Data def get_data() -> Data: ... [file a.py] from typing import TypedDict, List, Union class File(TypedDict): id: int name: str class User(TypedDict): id: int path: str class Data(TypedDict): things: List[Union[File, User]] [delete a.py.2] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == [case testTypedDictCrashFallbackAfterDeletedJoin] # flags: --ignore-missing-imports from z import get_data from a import Data x = [get_data()[0], get_data()[1]] [file z.py] from a import Data def get_data() -> Data: ... [file a.py] from typing import TypedDict, Tuple class File(TypedDict): id: int name: str class User(TypedDict): id: int path: str Data = Tuple[User, File] [delete a.py.2] [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == [case testClassRedef] # An issue involved serializing these caused crashes in the past [file a.py] class A: pass x = 0 [file a.py.2] class A: a = A() x = '0' [file b.py] from a import A, x class A: # type: ignore pass [out] == [case testAddAttributeThroughNewBaseClass] import a [file a.py] class C: def __init__(self) -> None: self.x = 0 [file a.py.2] from b import B class C(B): def __init__(self) -> None: self.x = 0 [file b.py.2] class B: def __init__(self) -> None: self.x = 0 [out] == [case testGenericChange1] import a [file a.py] import b def f() -> b.C: pass [file b.py] import a class C: pass [file b.py.2] from typing import TypeVar, Generic, List import a T = TypeVar('T') class C(Generic[T]): pass reveal_type(a.f) c: C[int] l = a.f() if True else c d = a.f() d = c c = d x: List[C] = [a.f(), a.f()] [out] == b.py:7: note: Revealed type is "def () -> b.C[Any]" [builtins fixtures/list.pyi] [case testGenericChange2] import a [file a.py] import b def f() -> b.C[int]: pass [file b.py] from typing import TypeVar, Generic import a T = TypeVar('T') class C(Generic[T]): pass [file b.py.2] from typing import List import a class C(): pass c: C l = a.f() if True else c d = a.f() d = c c = d x: List[C] = [a.f(), a.f()] [builtins fixtures/list.pyi] [out] == a.py:2: error: "C" expects no type arguments, but 1 given [case testGenericChange3] import a [file a.py] import b def f() -> b.C[int]: pass [file b.py] from typing import TypeVar, Generic import a T = TypeVar('T') class C(Generic[T]): pass [file b.py.2] from typing import TypeVar, Generic, List import a T = TypeVar('T') S = TypeVar('S') class C(Generic[S, T]): pass c: C[int, str] l = a.f() if True else c d = a.f() d = c c = d x: List[C] = [a.f(), a.f()] [out] == a.py:2: error: "C" expects 2 type arguments, but 1 given [builtins fixtures/list.pyi] [case testIsInstanceAdHocIntersectionFineGrainedIncrementalNoChange] import b [file a.py] class A: pass class B: pass class Foo: def __init__(self) -> None: x: A assert isinstance(x, B) self.x = x [file b.py] from a import Foo [file b.py.2] from a import Foo reveal_type(Foo().x) [builtins fixtures/isinstance.pyi] [out] == b.py:2: note: Revealed type is "a." [case testIsInstanceAdHocIntersectionFineGrainedIncrementalIsInstanceChange] import c [file a.py] class A: pass class B: pass class C: pass class Foo: def __init__(self) -> None: x: A assert isinstance(x, B) self.x = x [file a.py.2] class A: pass class B: pass class C: pass class Foo: def __init__(self) -> None: x: A assert isinstance(x, C) self.x = x [file b.py] from a import Foo y = Foo().x [file c.py] from b import y reveal_type(y) [builtins fixtures/isinstance.pyi] [out] c.py:2: note: Revealed type is "a." == c.py:2: note: Revealed type is "a." [case testIsInstanceAdHocIntersectionFineGrainedIncrementalUnderlyingObjChang] import c [file a.py] class A: pass class B: pass class C: pass Extra = B [file a.py.2] class A: pass class B: pass class C: pass Extra = C [file b.py] from a import A, Extra x: A if isinstance(x, Extra): y = x [file c.py] from b import y reveal_type(y) [builtins fixtures/isinstance.pyi] [out] c.py:2: note: Revealed type is "b." == c.py:2: note: Revealed type is "b." [case testIsInstanceAdHocIntersectionFineGrainedIncrementalIntersectionToUnreachable] import c [file a.py] class A: x: int class B: x: int x: A assert isinstance(x, B) y = x [file a.py.2] class A: x: int class B: x: str x: A assert isinstance(x, B) y = x [file b.py] from a import y z = y [file c.py] from b import z reveal_type(z) [builtins fixtures/isinstance.pyi] [out] c.py:2: note: Revealed type is "a." == c.py:2: note: Revealed type is "Any" b.py:2: error: Cannot determine type of "y" [case testIsInstanceAdHocIntersectionFineGrainedIncrementalUnreachaableToIntersection] import c [file a.py] class A: x: int class B: x: str x: A assert isinstance(x, B) y = x [file a.py.2] class A: x: int class B: x: int x: A assert isinstance(x, B) y = x [file b.py] from a import y z = y [file c.py] from b import z reveal_type(z) [builtins fixtures/isinstance.pyi] [out] b.py:2: error: Cannot determine type of "y" c.py:2: note: Revealed type is "Any" == c.py:2: note: Revealed type is "a." [case testStubFixupIssues] [file a.py] import p [file a.py.2] import p # a change [file p/__init__.pyi] from p.util import * [file p/util.pyi] from p.params import N class Test: ... [file p/params.pyi] import p.util class N(p.util.Test): ... [builtins fixtures/list.pyi] [out] == [case testDunderCall1] from a import C c = C() c(1) [file a.py] class C: def __call__(self, x: int) -> None: ... [file a.py.2] class C: def __call__(self, x: str) -> None: ... [out] == main:4: error: Argument 1 to "__call__" of "C" has incompatible type "int"; expected "str" [case testDunderCall2] from a import C C()(1) [file a.py] class C: def __call__(self, x: int) -> None: ... [file a.py.2] class C: def __call__(self, x: str) -> None: ... [out] == main:3: error: Argument 1 to "__call__" of "C" has incompatible type "int"; expected "str" [case testDunderCallAddition] from a import C c = C() x = c() # type: ignore x + 42 [file a.py] class C: ... [file a.py.2] class C: def __call__(self) -> str: ... [out] == main:5: error: Unsupported left operand type for + ("str") [case testNoneAttribute] from typing import Generic, TypeVar T = TypeVar('T', int, str) class ExampleClass(Generic[T]): def __init__( self ) -> None: self.example_attribute = None [out] == [case testStrictNoneAttribute] from typing import Generic, TypeVar T = TypeVar('T', int, str) class ExampleClass(Generic[T]): def __init__( self ) -> None: self.example_attribute = None [out] == [case testDataclassCheckTypeVarBoundsInReprocess] from dataclasses import dataclass from typing import ClassVar, Protocol, Dict, TypeVar, Generic from m import x class DataclassProtocol(Protocol): __dataclass_fields__: ClassVar[Dict] T = TypeVar("T", bound=DataclassProtocol) @dataclass class MyDataclass: x: int = 1 class MyGeneric(Generic[T]): ... class MyClass(MyGeneric[MyDataclass]): ... [file m.py] x: int [file m.py.2] x: str [builtins fixtures/dataclasses.pyi] [out] == [case testParamSpecCached] import a [file a.py] import b def f(x: int) -> str: return 'x' b.foo(f) [file a.py.2] import b def f(x: int) -> str: return 'x' reveal_type(b.foo(f)) [file b.py] from typing import TypeVar, Callable, Union from typing_extensions import ParamSpec P = ParamSpec("P") T = TypeVar("T") def foo(f: Callable[P, T]) -> Callable[P, Union[T, None]]: return f [file b.py.2] from typing import TypeVar, Callable, Union from typing_extensions import ParamSpec P = ParamSpec("P") T = TypeVar("T") def foo(f: Callable[P, T]) -> Callable[P, Union[T, None]]: return f x = 0 # Arbitrary change to trigger reprocessing [builtins fixtures/dict.pyi] [out] == a.py:5: note: Revealed type is "def (x: builtins.int) -> Union[builtins.str, None]" [case testTypeVarTupleCached] import a [file a.py] import b def f(x: int) -> str: return 'x' b.foo((1, 'x')) [file a.py.2] import b reveal_type(b.foo((1, 'x'))) [file b.py] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def foo(t: Tuple[Unpack[Ts]]) -> Tuple[Unpack[Ts]]: return t [file b.py.2] from typing import Tuple from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") def foo(t: Tuple[Unpack[Ts]]) -> Tuple[Unpack[Ts]]: return t x = 0 # Arbitrary change to trigger reprocessing [builtins fixtures/dict.pyi] [out] == a.py:3: note: Revealed type is "tuple[Literal[1]?, Literal['x']?]" [case testVariadicClassFineUpdateRegularToVariadic] from typing import Any from lib import C x: C[int, str] [file lib.py] from typing import Generic, TypeVar T = TypeVar("T") S = TypeVar("S") class C(Generic[T, S]): ... [file lib.py.2] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): ... [builtins fixtures/tuple.pyi] [out] == [case testVariadicClassFineUpdateVariadicToRegular] from typing import Any from lib import C x: C[int, str, int] [file lib.py] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): ... [file lib.py.2] from typing import Generic, TypeVar T = TypeVar("T") S = TypeVar("S") class C(Generic[T, S]): ... [builtins fixtures/tuple.pyi] [out] == main:4: error: "C" expects 2 type arguments, but 3 given -- Order of error messages is different, so we repeat the test twice. [case testVariadicClassFineUpdateValidToInvalidCached-only_when_cache] from typing import Any from lib import C x: C[int, str] [file lib.py] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): ... [file lib.py.2] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Ts]): ... [builtins fixtures/tuple.pyi] [out] == main:4: error: "C" expects no type arguments, but 2 given lib.py:5: error: Free type variable expected in Generic[...] [case testVariadicClassFineUpdateValidToInvalid-only_when_nocache] from typing import Any from lib import C x: C[int, str] [file lib.py] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): ... [file lib.py.2] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Ts]): ... [builtins fixtures/tuple.pyi] [out] == lib.py:5: error: Free type variable expected in Generic[...] main:4: error: "C" expects no type arguments, but 2 given [case testVariadicClassFineUpdateInvalidToValid] from typing import Any from lib import C x: C[int, str] [file lib.py] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Ts]): ... [file lib.py.2] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple("Ts") class C(Generic[Unpack[Ts]]): ... [builtins fixtures/tuple.pyi] [out] lib.py:5: error: Free type variable expected in Generic[...] main:4: error: "C" expects no type arguments, but 2 given == [case testUnpackKwargsUpdateFine] import m [file shared.py] from typing import TypedDict class Person(TypedDict): name: str age: int [file shared.py.2] from typing import TypedDict class Person(TypedDict): name: str age: str [file lib.py] from typing_extensions import Unpack from shared import Person def foo(**kwargs: Unpack[Person]): ... [file m.py] from lib import foo foo(name='Jennifer', age=38) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] == m.py:2: error: Argument "age" to "foo" has incompatible type "int"; expected "str" [case testModuleAsProtocolImplementationFine] import m [file m.py] from typing import Protocol from lib import C class Options(Protocol): timeout: int def update(self) -> bool: ... def setup(options: Options) -> None: ... setup(C().config) [file lib.py] import default_config class C: config = default_config [file default_config.py] timeout = 100 def update() -> bool: ... [file default_config.py.2] timeout = 100 def update() -> str: ... [builtins fixtures/module.pyi] [out] == m.py:9: error: Argument 1 to "setup" has incompatible type Module; expected "Options" m.py:9: note: Following member(s) of Module "default_config" have conflicts: m.py:9: note: Expected: m.py:9: note: def update() -> bool m.py:9: note: Got: m.py:9: note: def update() -> str [case testBoundGenericMethodFine] import main [file main.py] import lib [file main.py.3] import lib reveal_type(lib.foo(42)) [file lib/__init__.pyi] from lib import context foo = context.test.foo [file lib/context.pyi] from typing import TypeVar import lib.other T = TypeVar("T") class Test: def foo(self, x: T, n: lib.other.C = ...) -> T: ... test: Test [file lib/other.pyi] class C: ... [file lib/other.pyi.2] class B: ... class C(B): ... [out] == == main.py:2: note: Revealed type is "builtins.int" [case testBoundGenericMethodParamSpecFine] import main [file main.py] import lib [file main.py.3] from typing import Callable import lib f: Callable[[], int] reveal_type(lib.foo(f)) [file lib/__init__.pyi] from lib import context foo = context.test.foo [file lib/context.pyi] from typing_extensions import ParamSpec from typing import Callable import lib.other P = ParamSpec("P") class Test: def foo(self, x: Callable[P, int], n: lib.other.C = ...) -> Callable[P, str]: ... test: Test [file lib/other.pyi] class C: ... [file lib/other.pyi.2] class B: ... class C(B): ... [builtins fixtures/dict.pyi] [out] == == main.py:4: note: Revealed type is "def () -> builtins.str" [case testAbstractBodyTurnsEmpty] from b import Base class Sub(Base): def meth(self) -> int: return super().meth() [file b.py] from abc import abstractmethod class Base: @abstractmethod def meth(self) -> int: return 0 [file b.py.2] from abc import abstractmethod class Base: @abstractmethod def meth(self) -> int: ... [out] == main:5: error: Call to abstract method "meth" of "Base" with trivial body via super() is unsafe [case testAbstractBodyTurnsEmptyProtocol] from b import Base class Sub(Base): def meth(self) -> int: return super().meth() [file b.py] from typing import Protocol class Base(Protocol): def meth(self) -> int: return 0 [file b.py.2] from typing import Protocol class Base(Protocol): def meth(self) -> int: ... [out] == main:5: error: Call to abstract method "meth" of "Base" with trivial body via super() is unsafe [case testPrettyMessageSorting] # flags: --pretty import a [file a.py] 1 + '' import b [file b.py] object + 1 [file b.py.2] object + 1 1() [out] b.py:1: error: Unsupported left operand type for + ("type[object]") object + 1 ^~~~~~~~~~ a.py:1: error: Unsupported operand types for + ("int" and "str") 1 + '' ^~ == b.py:1: error: Unsupported left operand type for + ("type[object]") object + 1 ^~~~~~~~~~ b.py:2: error: "int" not callable 1() ^~~ a.py:1: error: Unsupported operand types for + ("int" and "str") 1 + '' ^~ [case testTypingSelfFine] import m [file lib.py] from typing import Any class C: def meth(self, other: Any) -> C: ... [file lib.py.2] from typing import Self class C: def meth(self, other: Self) -> Self: ... [file n.py] import lib class D(lib.C): ... [file m.py] from n import D d = D() def test() -> None: d.meth(42) [out] == m.py:4: error: Argument 1 to "meth" of "C" has incompatible type "int"; expected "D" [case testNoNestedDefinitionCrash] import m [file m.py] from typing import Any, TYPE_CHECKING class C: if TYPE_CHECKING: def __init__(self, **kw: Any): ... C [file m.py.2] from typing import Any, TYPE_CHECKING class C: if TYPE_CHECKING: def __init__(self, **kw: Any): ... C # change [builtins fixtures/dict.pyi] [out] == [case testNoNestedDefinitionCrash2] import m [file m.py] from typing import Any class C: try: def __init__(self, **kw: Any): ... except: pass C [file m.py.2] from typing import Any class C: try: def __init__(self, **kw: Any): ... except: pass C # change [builtins fixtures/dict.pyi] [out] == [case testNamedTupleNestedCrash] import m [file m.py] from typing import NamedTuple class NT(NamedTuple): class C: ... x: int y: int [file m.py.2] from typing import NamedTuple class NT(NamedTuple): class C: ... x: int y: int # change [builtins fixtures/tuple.pyi] [out] m.py:4: error: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" == m.py:4: error: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" [case testNamedTupleNestedClassRecheck] import n [file n.py] import m x: m.NT [file m.py] from typing import NamedTuple from f import A class NT(NamedTuple): class C: ... x: int y: A [file f.py] A = int [file f.py.2] A = str [builtins fixtures/tuple.pyi] [out] m.py:5: error: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" == m.py:5: error: Invalid statement in NamedTuple definition; expected "field_name: field_type [= default]" [case testTypedDictNestedClassRecheck] import n [file n.py] import m x: m.TD [file m.py] from typing import TypedDict from f import A class TD(TypedDict): class C: ... x: int y: A [file f.py] A = int [file f.py.2] A = str [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] m.py:5: error: Invalid statement in TypedDict definition; expected "field_name: field_type" == m.py:5: error: Invalid statement in TypedDict definition; expected "field_name: field_type" [case testTypeAliasWithNewStyleUnionChangedToVariable] # flags: --python-version 3.10 import a [file a.py] from b import C, D A = C | D a: A reveal_type(a) [builtins fixtures/type.pyi] [file b.py] C = int D = str [file b.py.2] C = "x" D = "y" [file b.py.3] C = str D = int [out] a.py:4: note: Revealed type is "builtins.int | builtins.str" == a.py:2: error: Unsupported left operand type for | ("str") a.py:3: error: Variable "a.A" is not valid as a type a.py:3: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases a.py:4: note: Revealed type is "A?" == a.py:4: note: Revealed type is "builtins.str | builtins.int" [case testUnionOfSimilarCallablesCrash] import b [file b.py] from a import x [file m.py] from typing import Union, TypeVar T = TypeVar("T") S = TypeVar("S") def foo(x: T, y: S) -> Union[T, S]: ... def f(x: int) -> int: ... def g(*x: int) -> int: ... [file a.py] from m import f, g, foo x = foo(f, g) [file a.py.2] from m import f, g, foo x = foo(f, g) reveal_type(x) [builtins fixtures/tuple.pyi] [out] == a.py:3: note: Revealed type is "Union[def (x: builtins.int) -> builtins.int, def (*x: builtins.int) -> builtins.int]" [case testErrorInReAddedModule] # flags: --disallow-untyped-defs --follow-imports=error # cmd: mypy a.py # cmd2: mypy b.py # cmd3: mypy a.py [file a.py] def f(): pass [file b.py] def f(): pass [file unrelated.txt.3] [out] a.py:1: error: Function is missing a return type annotation a.py:1: note: Use "-> None" if function does not return a value == b.py:1: error: Function is missing a return type annotation b.py:1: note: Use "-> None" if function does not return a value == a.py:1: error: Function is missing a return type annotation a.py:1: note: Use "-> None" if function does not return a value [case testModuleLevelGetAttrInStub] import stub import a import b [file stub/__init__.pyi] s: str def __getattr__(self): pass [file a.py] [file a.py.2] from stub import x from stub.pkg import y from stub.pkg.sub import z [file b.py] [file b.py.3] from stub import s reveal_type(s) [out] == == b.py:2: note: Revealed type is "builtins.str" [case testRenameSubModule] import a [file a.py] import pkg.sub [file pkg/__init__.py] [file pkg/sub/__init__.py] from pkg.sub import mod [file pkg/sub/mod.py] [file pkg/sub/__init__.py.2] from pkg.sub import modb [delete pkg/sub/mod.py.2] [file pkg/sub/modb.py.2] [out] == [case testUnusedTypeIgnorePreservedAfterChange] # flags: --warn-unused-ignores --no-error-summary [file main.py] a = 1 # type: ignore [file main.py.2] a = 1 # type: ignore # Comment to trigger reload. [out] main.py:1: error: Unused "type: ignore" comment == main.py:1: error: Unused "type: ignore" comment [case testTypeIgnoreWithoutCodePreservedAfterChange] # flags: --enable-error-code ignore-without-code --no-error-summary [file main.py] a = 1 # type: ignore [file main.py.2] a = 1 # type: ignore # Comment to trigger reload. [out] main.py:1: error: "type: ignore" comment without error code == main.py:1: error: "type: ignore" comment without error code [case testFineGrainedFunctoolsPartial] import m [file m.py] from typing import Callable from partial import p1 reveal_type(p1) p1("a") p1("a", 3) p1("a", c=3) p1(1, 3) p1(1, "a", 3) p1(a=1, b="a", c=3) [builtins fixtures/dict.pyi] [file partial.py] from typing import Callable import functools def foo(a: int, b: str, c: int = 5) -> int: ... p1 = foo [file partial.py.2] from typing import Callable import functools def foo(a: int, b: str, c: int = 5) -> int: ... p1 = functools.partial(foo, 1) [out] m.py:4: note: Revealed type is "def (a: builtins.int, b: builtins.str, c: builtins.int =) -> builtins.int" m.py:5: error: Too few arguments m.py:5: error: Argument 1 has incompatible type "str"; expected "int" m.py:6: error: Argument 1 has incompatible type "str"; expected "int" m.py:6: error: Argument 2 has incompatible type "int"; expected "str" m.py:7: error: Too few arguments m.py:7: error: Argument 1 has incompatible type "str"; expected "int" m.py:8: error: Argument 2 has incompatible type "int"; expected "str" == m.py:4: note: Revealed type is "functools.partial[builtins.int]" m.py:8: error: Argument 1 to "foo" has incompatible type "int"; expected "str" m.py:9: error: Too many arguments for "foo" m.py:9: error: Argument 1 to "foo" has incompatible type "int"; expected "str" m.py:9: error: Argument 2 to "foo" has incompatible type "str"; expected "int" m.py:10: error: Unexpected keyword argument "a" for "foo" partial.py:4: note: "foo" defined here [case testReplaceFunctionWithDecoratedFunctionIndirect] from b import f x: int = f() import b y: int = b.f() [file b.py] from a import f [file a.py] def f() -> int: ... [file a.py.2] from typing import Callable def d(t: Callable[[], str]) -> Callable[[], str]: ... @d def f() -> str: ... [builtins fixtures/tuple.pyi] [out] == main:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") main:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testReplaceFunctionWithDecoratedFunctionIndirect2] from c import f x: int = f() import c y: int = c.f() [file c.py] from b import f [file b.py] from a import f [file a.py] def f() -> int: ... [file a.py.2] from typing import Callable def d(t: Callable[[], str]) -> Callable[[], str]: ... @d def f() -> str: ... [builtins fixtures/tuple.pyi] [out] == main:2: error: Incompatible types in assignment (expression has type "str", variable has type "int") main:4: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testReplaceFunctionWithClassIndirect] from b import f x: int = f() import b y: int = b.f() [file b.py] from a import f [file a.py] def f() -> int: ... [file a.py.2] class f: ... [builtins fixtures/tuple.pyi] [out] == main:2: error: Incompatible types in assignment (expression has type "f", variable has type "int") main:4: error: Incompatible types in assignment (expression has type "f", variable has type "int") [case testReplaceFunctionWithClassIndirect2] from c import f x: int = f() import c y: int = c.f() [file c.py] from b import f [file b.py] from a import f [file a.py] def f() -> int: ... [file a.py.2] class f: ... [builtins fixtures/tuple.pyi] [out] == main:2: error: Incompatible types in assignment (expression has type "f", variable has type "int") main:4: error: Incompatible types in assignment (expression has type "f", variable has type "int") [case testDeprecatedAddKeepChangeAndRemoveFunctionDeprecation] # flags: --enable-error-code=deprecated from a import f f() import a a.f() [file a.py] def f() -> None: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... [file a.py.3] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... [file a.py.4] from typing_extensions import deprecated @deprecated("use f3 instead") def f() -> None: ... [file a.py.5] def f() -> None: ... [builtins fixtures/tuple.pyi] [out] == main:3: error: function a.f is deprecated: use f2 instead main:6: error: function a.f is deprecated: use f2 instead == main:3: error: function a.f is deprecated: use f2 instead main:6: error: function a.f is deprecated: use f2 instead == main:3: error: function a.f is deprecated: use f3 instead main:6: error: function a.f is deprecated: use f3 instead == [case testDeprecatedRemoveFunctionDeprecation] # flags: --enable-error-code=deprecated from a import f f() import a a.f() [file a.py] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... [file a.py.2] def f() -> None: ... [builtins fixtures/tuple.pyi] [out] main:2: error: function a.f is deprecated: use f2 instead main:5: error: function a.f is deprecated: use f2 instead == [case testDeprecatedKeepFunctionDeprecation] # flags: --enable-error-code=deprecated from a import f f() import a a.f() [file a.py] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> None: ... [builtins fixtures/tuple.pyi] [out] main:2: error: function a.f is deprecated: use f2 instead main:5: error: function a.f is deprecated: use f2 instead == main:2: error: function a.f is deprecated: use f2 instead main:5: error: function a.f is deprecated: use f2 instead [case testDeprecatedAddFunctionDeprecationIndirectImport] # flags: --enable-error-code=deprecated from b import f f() import b b.f() [file b.py] from a import f [file a.py] def f() -> int: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> int: ... [builtins fixtures/tuple.pyi] [out] == b.py:1: error: function a.f is deprecated: use f2 instead main:2: error: function a.f is deprecated: use f2 instead main:5: error: function a.f is deprecated: use f2 instead [case testDeprecatedChangeFunctionDeprecationIndirectImport] # flags: --enable-error-code=deprecated from b import f f() import b b.f() [file b.py] from a import f [file a.py] from typing_extensions import deprecated @deprecated("use f1 instead") def f() -> int: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use f2 instead") def f() -> int: ... [builtins fixtures/tuple.pyi] [out] b.py:1: error: function a.f is deprecated: use f1 instead main:2: error: function a.f is deprecated: use f1 instead main:5: error: function a.f is deprecated: use f1 instead == b.py:1: error: function a.f is deprecated: use f2 instead main:2: error: function a.f is deprecated: use f2 instead main:5: error: function a.f is deprecated: use f2 instead [case testDeprecatedRemoveFunctionDeprecationIndirectImport] # flags: --enable-error-code=deprecated from b import f f() import b b.f() [file b.py] from a import f [file a.py] from typing_extensions import deprecated @deprecated("use f1 instead") def f() -> int: ... [file a.py.2] def f() -> int: ... [builtins fixtures/tuple.pyi] [out] b.py:1: error: function a.f is deprecated: use f1 instead main:2: error: function a.f is deprecated: use f1 instead main:5: error: function a.f is deprecated: use f1 instead == [case testDeprecatedFunctionAlreadyDecorated1-only_when_cache] # flags: --enable-error-code=deprecated from b import f x: str = f() import b y: str = b.f() [file b.py] from a import f [file a.py] from typing import Callable def d(t: Callable[[], str]) -> Callable[[], str]: ... @d def f() -> str: ... [file a.py.2] from typing import Callable from typing_extensions import deprecated def d(t: Callable[[], str]) -> Callable[[], str]: ... @deprecated("deprecated decorated function") @d def f() -> str: ... [builtins fixtures/tuple.pyi] [out] == b.py:1: error: function a.f is deprecated: deprecated decorated function main:2: error: function a.f is deprecated: deprecated decorated function main:5: error: function a.f is deprecated: deprecated decorated function [case testDeprecatedFunctionAlreadyDecorated2-only_when_nocache] # flags: --enable-error-code=deprecated from b import f x: str = f() import b y: str = b.f() [file b.py] from a import f [file a.py] from typing import Callable def d(t: Callable[[], str]) -> Callable[[], str]: ... @d def f() -> str: ... [file a.py.2] from typing import Callable from typing_extensions import deprecated def d(t: Callable[[], str]) -> Callable[[], str]: ... @deprecated("deprecated decorated function") @d def f() -> str: ... [builtins fixtures/tuple.pyi] [out] == main:2: error: function a.f is deprecated: deprecated decorated function main:5: error: function a.f is deprecated: deprecated decorated function b.py:1: error: function a.f is deprecated: deprecated decorated function [case testDeprecatedAddClassDeprecationIndirectImport1-only_when_cache] # flags: --enable-error-code=deprecated from b import C x: C C() import b y: b.D b.D() [file b.py] from a import C from a import D [file a.py] class C: ... class D: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use C2 instead") class C: ... @deprecated("use D2 instead") class D: ... [builtins fixtures/tuple.pyi] [out] == b.py:1: error: class a.C is deprecated: use C2 instead b.py:2: error: class a.D is deprecated: use D2 instead main:2: error: class a.C is deprecated: use C2 instead main:6: error: class a.D is deprecated: use D2 instead main:7: error: class a.D is deprecated: use D2 instead [case testDeprecatedAddClassDeprecationIndirectImport2-only_when_nocache] # flags: --enable-error-code=deprecated from b import C x: C C() import b y: b.D b.D() [file b.py] from a import C from a import D [file a.py] class C: ... class D: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use C2 instead") class C: ... @deprecated("use D2 instead") class D: ... [builtins fixtures/tuple.pyi] [out] == main:2: error: class a.C is deprecated: use C2 instead main:6: error: class a.D is deprecated: use D2 instead main:7: error: class a.D is deprecated: use D2 instead b.py:1: error: class a.C is deprecated: use C2 instead b.py:2: error: class a.D is deprecated: use D2 instead [case testDeprecatedAddKeepChangeAndRemoveOverloadedFunctionDeprecation] # flags: --enable-error-code=deprecated from a import f f(1) f("y") import a a.f(1) a.f("y") [file a.py] from typing import overload, Union @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.2] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.3] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.4] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int, please") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.5] from typing import overload, Union @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [out] == main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int == main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int == main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int, please main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int, please == [case testDeprecatedRemoveOverloadedFunctionDeprecation] # flags: --enable-error-code=deprecated from a import f f(1) f("y") import a a.f(1) a.f("y") [file a.py] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.2] from typing import overload, Union @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [out] main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int == [case testDeprecatedKeepOverloadedFunctionDeprecation] # flags: --enable-error-code=deprecated from a import f f(1) f("y") import a a.f(1) a.f("y") [file a.py] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.2] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [out] main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int == main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int [case testDeprecatedAddOverloadedFunctionDeprecationIndirectImport] # flags: --enable-error-code=deprecated from b import f f(1) f("y") import b b.f(1) b.f("y") [file b.py] from a import f [file a.py] from typing import overload, Union @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.2] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [out] == main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int [case testDeprecatedChangeOverloadedFunctionDeprecationIndirectImport] # flags: --enable-error-code=deprecated from b import f f(1) f("y") import b b.f(1) b.f("y") [file b.py] from a import f [file a.py] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.2] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int, please") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [out] main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int == main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int, please main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int, please [case testDeprecatedRemoveOverloadedFunctionDeprecationIndirectImport] # flags: --enable-error-code=deprecated from b import f f(1) f("y") import b b.f(1) b.f("y") [file b.py] from a import f [file a.py] from typing import overload, Union from typing_extensions import deprecated @overload def f(x: int) -> int: ... @overload @deprecated("pass int") def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.2] from typing import overload, Union @overload def f(x: int) -> int: ... @overload def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [out] main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: pass int == [case testDeprecatedOverloadedFunctionAlreadyDecorated] # flags: --enable-error-code=deprecated from b import f f(1) f("y") import b b.f(1) b.f("y") [file b.py] from a import f [file a.py] from typing import Callable, overload, Union def d(t: Callable[[str], str]) -> Callable[[str], str]: ... @overload def f(x: int) -> int: ... @overload @d def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [file a.py.2] from typing import Callable, overload, Union from typing_extensions import deprecated def d(t: Callable[[str], str]) -> Callable[[str], str]: ... @overload def f(x: int) -> int: ... @overload @deprecated("deprecated decorated overload") @d def f(x: str) -> str: ... def f(x: Union[int, str]) -> Union[int, str]: ... [builtins fixtures/tuple.pyi] [out] == main:5: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: deprecated decorated overload main:8: error: overload def (x: builtins.str) -> builtins.str of function a.f is deprecated: deprecated decorated overload [case testDeprecatedChangeClassDeprecationIndirectImport] # flags: --enable-error-code=deprecated from b import C x: C C() import b y: b.D b.D() [file b.py] from a import C from a import D [file a.py] from typing_extensions import deprecated @deprecated("use C1 instead") class C: ... @deprecated("use D1 instead") class D: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use C2 instead") class C: ... @deprecated("use D2 instead") class D: ... [builtins fixtures/tuple.pyi] [out] b.py:1: error: class a.C is deprecated: use C1 instead b.py:2: error: class a.D is deprecated: use D1 instead main:2: error: class a.C is deprecated: use C1 instead main:6: error: class a.D is deprecated: use D1 instead main:7: error: class a.D is deprecated: use D1 instead == b.py:1: error: class a.C is deprecated: use C2 instead b.py:2: error: class a.D is deprecated: use D2 instead main:2: error: class a.C is deprecated: use C2 instead main:6: error: class a.D is deprecated: use D2 instead main:7: error: class a.D is deprecated: use D2 instead [case testDeprecatedRemoveClassDeprecationIndirectImport] # flags: --enable-error-code=deprecated from b import C x: C C() import b y: b.D b.D() [file b.py] from a import C from a import D [file a.py] from typing_extensions import deprecated @deprecated("use C1 instead") class C: ... @deprecated("use D1 instead") class D: ... [file a.py.2] class C: ... class D: ... [builtins fixtures/tuple.pyi] [out] b.py:1: error: class a.C is deprecated: use C1 instead b.py:2: error: class a.D is deprecated: use D1 instead main:2: error: class a.C is deprecated: use C1 instead main:6: error: class a.D is deprecated: use D1 instead main:7: error: class a.D is deprecated: use D1 instead == [case testDeprecatedAddClassDeprecationIndirectImportAlreadyDecorated1-only_when_cache] # flags: --enable-error-code=deprecated from b import C x: C C() import b y: b.D b.D() [file b.py] from a import C from a import D [file a.py] from typing import TypeVar T = TypeVar("T") def dec(x: T) -> T: ... @dec class C: ... @dec class D: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use C2 instead") class C: ... @deprecated("use D2 instead") class D: ... [builtins fixtures/tuple.pyi] [out] == b.py:1: error: class a.C is deprecated: use C2 instead b.py:2: error: class a.D is deprecated: use D2 instead main:2: error: class a.C is deprecated: use C2 instead main:6: error: class a.D is deprecated: use D2 instead main:7: error: class a.D is deprecated: use D2 instead [case testDeprecatedAddClassDeprecationIndirectImportAlreadyDecorated2-only_when_nocache] # flags: --enable-error-code=deprecated from b import C x: C C() import b y: b.D b.D() [file b.py] from a import C from a import D [file a.py] from typing import TypeVar T = TypeVar("T") def dec(x: T) -> T: ... @dec class C: ... @dec class D: ... [file a.py.2] from typing_extensions import deprecated @deprecated("use C2 instead") class C: ... @deprecated("use D2 instead") class D: ... [builtins fixtures/tuple.pyi] [out] == main:2: error: class a.C is deprecated: use C2 instead main:6: error: class a.D is deprecated: use D2 instead main:7: error: class a.D is deprecated: use D2 instead b.py:1: error: class a.C is deprecated: use C2 instead b.py:2: error: class a.D is deprecated: use D2 instead [case testPropertySetterTypeFineGrained] from a import A a = A() a.f = '' [file a.py] class A: @property def f(self) -> int: return 1 @f.setter def f(self, x: str) -> None: pass [file a.py.2] class A: @property def f(self) -> int: return 1 @f.setter def f(self, x: int) -> None: pass [builtins fixtures/property.pyi] [out] == main:3: error: Incompatible types in assignment (expression has type "str", variable has type "int") [case testPropertyDeleteSetterFineGrained] from a import A a = A() a.f = 1 [file a.py] class A: @property def f(self) -> int: return 1 @f.setter def f(self, x: int) -> None: pass [file a.py.2] class A: @property def f(self) -> int: return 1 @f.deleter def f(self) -> None: pass [builtins fixtures/property.pyi] [out] == main:3: error: Property "f" defined in "A" is read-only [case testMethodMakeBoundFineGrained] from a import A a = A() a.f() [file a.py] class B: def f(self, s: A) -> int: ... def f(s: A) -> int: ... class A: f = f [file a.py.2] class B: def f(self, s: A) -> int: ... def f(s: A) -> int: ... class A: f = B().f [out] == main:3: error: Too few arguments [case testFineGrainedParamSpecPrefixUpdateMethod] import impl [file impl.py] from typing_extensions import ParamSpec from lib import Sub P = ParamSpec("P") class Impl(Sub[P]): def test(self, *args: P.args, **kwargs: P.kwargs) -> None: self.meth(1, *args, **kwargs) [file lib.py] from typing import Generic from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class Base(Generic[P]): def meth(self, *args: P.args, **kwargs: P.kwargs) -> None: ... class Sub(Base[Concatenate[int, P]]): ... [file lib.py.2] from typing import Generic from typing_extensions import ParamSpec, Concatenate P = ParamSpec("P") class Base(Generic[P]): def meth(self, *args: P.args, **kwargs: P.kwargs) -> None: ... class Sub(Base[Concatenate[str, P]]): ... [builtins fixtures/paramspec.pyi] [out] == impl.py:7: error: Argument 1 to "meth" of "Base" has incompatible type "int"; expected "str" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7407668 mypy-1.19.0/test-data/unit/fixtures/0000755000175100017510000000000015112310012016746 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/__init_subclass__.pyi0000644000175100017510000000043515112307767023160 0ustar00runnerrunner# builtins stub with object.__init_subclass__ from typing import Mapping, Iterable # needed for ArgumentInferContext class object: def __init_subclass__(cls) -> None: pass class type: pass class int: pass class bool: pass class str: pass class function: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/__new__.pyi0000644000175100017510000000051215112307767021103 0ustar00runnerrunner# builtins stub with object.__new__ from typing import Any class object: def __init__(self) -> None: pass __class__ = object def __new__(cls) -> Any: pass class type: def __init__(self, x) -> None: pass class float: pass class int: pass class bool: pass class str: pass class function: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/alias.pyi0000644000175100017510000000047215112307767020614 0ustar00runnerrunner# Builtins test fixture with a type alias 'bytes' from typing import Mapping, Iterable # needed for `ArgumentInferContext` class object: def __init__(self) -> None: pass class type: def __init__(self, x) -> None: pass class int: pass class str: pass class function: pass bytes = str class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/any.pyi0000644000175100017510000000022115112307767020302 0ustar00runnerrunnerfrom typing import TypeVar, Iterable T = TypeVar('T') class int: pass class str: pass def any(i: Iterable[T]) -> bool: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/args.pyi0000644000175100017510000000164315112307767020460 0ustar00runnerrunner# Builtins stub used to support *args, **kwargs. import _typeshed from typing import TypeVar, Generic, Iterable, Sequence, Tuple, Dict, Any, overload, Mapping Tco = TypeVar('Tco', covariant=True) T = TypeVar('T') S = TypeVar('S') class object: def __init__(self) -> None: pass def __eq__(self, o: object) -> bool: pass def __ne__(self, o: object) -> bool: pass class type: @overload def __init__(self, o: object) -> None: pass @overload def __init__(self, name: str, bases: Tuple[type, ...], dict: Dict[str, Any]) -> None: pass def __call__(self, *args: Any, **kwargs: Any) -> Any: pass class tuple(Iterable[Tco], Generic[Tco]): pass class dict(Mapping[T, S], Generic[T, S]): pass class list(Sequence[T], Generic[T]): pass class int: def __eq__(self, o: object) -> bool: pass class float: pass class str: pass class bytes: pass class bool: pass class function: pass class ellipsis: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/async_await.pyi0000644000175100017510000000134515112307767022025 0ustar00runnerrunnerimport typing T = typing.TypeVar('T') U = typing.TypeVar('U') class list(typing.Sequence[T]): def __iter__(self) -> typing.Iterator[T]: ... def __getitem__(self, i: int) -> T: ... def __contains__(self, item: object) -> bool: ... class object: def __init__(self) -> None: pass class type: pass class function: pass class int: pass class float: pass class str: pass class bool(int): pass class dict(typing.Generic[T, U]): pass class set(typing.Generic[T]): pass class tuple(typing.Generic[T]): pass class BaseException: pass class StopIteration(BaseException): pass class StopAsyncIteration(BaseException): pass def iter(obj: typing.Any) -> typing.Any: pass def next(obj: typing.Any) -> typing.Any: pass class ellipsis: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/bool.pyi0000644000175100017510000000074615112307767020462 0ustar00runnerrunner# builtins stub used in boolean-related test cases. from typing import Generic, TypeVar T = TypeVar('T') class object: def __init__(self) -> None: pass def __eq__(self, other: object) -> bool: pass def __ne__(self, other: object) -> bool: pass class type: pass class tuple(Generic[T]): pass class function: pass class int: pass class bool(int): pass class float: pass class str: pass class ellipsis: pass class list(Generic[T]): pass class property: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/callable.pyi0000644000175100017510000000130415112307767021255 0ustar00runnerrunnerfrom typing import Generic, Tuple, TypeVar, Union T = TypeVar('T') class object: def __init__(self) -> None: pass class type: def __init__(self, x) -> None: pass class tuple(Generic[T]): pass class classmethod: pass class staticmethod: pass class function: pass def isinstance(x: object, t: Union[type, Tuple[type, ...]]) -> bool: pass def callable(x: object) -> bool: pass class int: def __add__(self, other: 'int') -> 'int': pass def __eq__(self, other: 'int') -> 'bool': pass class float: pass class bool(int): pass class str: def __add__(self, other: 'str') -> 'str': pass def __eq__(self, other: 'str') -> bool: pass class ellipsis: pass class list: ... class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/classmethod.pyi0000644000175100017510000000103215112307767022022 0ustar00runnerrunnerimport typing _T = typing.TypeVar('_T') class object: def __init__(self) -> None: pass class type: def __init__(self, x) -> None: pass def mro(self) -> typing.Any: pass class function: pass # Dummy definitions. class classmethod: pass class staticmethod: pass class int: @classmethod def from_bytes(cls, bytes: bytes, byteorder: str) -> int: pass class float: pass class str: pass class bytes: pass class bool: pass class ellipsis: pass class tuple(typing.Generic[_T]): pass class list: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/complex.pyi0000644000175100017510000000046115112307767021170 0ustar00runnerrunner# Builtins stub used for some float/complex test cases. # Please don't add tuple to this file, it is used to test incomplete fixtures. class object: def __init__(self): pass class type: pass class function: pass class int: pass class float: pass class complex: pass class str: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/complex_tuple.pyi0000644000175100017510000000042615112307767022402 0ustar00runnerrunnerfrom typing import Generic, TypeVar _T = TypeVar('_T') class object: def __init__(self): pass class tuple(Generic[_T]): pass class type: pass class function: pass class int: pass class float: pass class complex: pass class str: pass class ellipsis: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/dataclasses.pyi0000644000175100017510000000303415112307767022007 0ustar00runnerrunnerimport _typeshed from typing import ( Generic, Iterator, Iterable, Mapping, Optional, Sequence, Tuple, TypeVar, Union, overload, ) from typing_extensions import override _T = TypeVar('_T') _U = TypeVar('_U') KT = TypeVar('KT') VT = TypeVar('VT') class object: def __init__(self) -> None: pass def __init_subclass__(cls) -> None: pass def __eq__(self, o: object) -> bool: pass def __ne__(self, o: object) -> bool: pass class type: pass class ellipsis: pass class tuple(Generic[_T]): pass class int: pass class float: pass class bytes: pass class str: pass class bool(int): pass class dict(Mapping[KT, VT]): @overload def __init__(self, **kwargs: VT) -> None: pass @overload def __init__(self, arg: Iterable[Tuple[KT, VT]], **kwargs: VT) -> None: pass @override def __getitem__(self, key: KT) -> VT: pass def __setitem__(self, k: KT, v: VT) -> None: pass @override def __iter__(self) -> Iterator[KT]: pass def __contains__(self, item: object) -> int: pass def update(self, a: Mapping[KT, VT]) -> None: pass @overload def get(self, k: KT) -> Optional[VT]: pass @overload def get(self, k: KT, default: Union[KT, _T]) -> Union[VT, _T]: pass def __len__(self) -> int: ... class list(Generic[_T], Sequence[_T]): def __contains__(self, item: object) -> int: pass @override def __getitem__(self, key: int) -> _T: pass @override def __iter__(self) -> Iterator[_T]: pass class function: pass class classmethod: pass class staticmethod: pass property = object() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/dict-full.pyi0000644000175100017510000000533115112307767021405 0ustar00runnerrunner# Builtins stub used in dictionary-related test cases (more complete). from _typeshed import SupportsKeysAndGetItem import _typeshed from typing import ( TypeVar, Generic, Iterable, Iterator, Mapping, Tuple, overload, Optional, Union, Sequence, Self, ) T = TypeVar('T') T2 = TypeVar('T2') KT = TypeVar('KT') VT = TypeVar('VT') class object: def __init__(self) -> None: pass def __init_subclass__(cls) -> None: pass def __eq__(self, other: object) -> bool: pass class type: __annotations__: Mapping[str, object] class dict(Mapping[KT, VT]): @overload def __init__(self, **kwargs: VT) -> None: pass @overload def __init__(self, arg: Iterable[Tuple[KT, VT]], **kwargs: VT) -> None: pass def __getitem__(self, key: KT) -> VT: pass def __setitem__(self, k: KT, v: VT) -> None: pass def __iter__(self) -> Iterator[KT]: pass def __contains__(self, item: object) -> int: pass def update(self, a: SupportsKeysAndGetItem[KT, VT]) -> None: pass @overload def get(self, k: KT) -> Optional[VT]: pass @overload def get(self, k: KT, default: Union[VT, T]) -> Union[VT, T]: pass def __len__(self) -> int: ... # This was actually added in 3.9: @overload def __or__(self, __value: dict[KT, VT]) -> dict[KT, VT]: ... @overload def __or__(self, __value: dict[T, T2]) -> dict[Union[KT, T], Union[VT, T2]]: ... @overload def __ror__(self, __value: dict[KT, VT]) -> dict[KT, VT]: ... @overload def __ror__(self, __value: dict[T, T2]) -> dict[Union[KT, T], Union[VT, T2]]: ... # dict.__ior__ should be kept roughly in line with MutableMapping.update() @overload # type: ignore[misc] def __ior__(self, __value: _typeshed.SupportsKeysAndGetItem[KT, VT]) -> Self: ... @overload def __ior__(self, __value: Iterable[Tuple[KT, VT]]) -> Self: ... class int: # for convenience def __add__(self, x: Union[int, complex]) -> int: pass def __radd__(self, x: int) -> int: pass def __sub__(self, x: Union[int, complex]) -> int: pass def __neg__(self) -> int: pass real: int imag: int class str: pass # for keyword argument key type class bytes: pass class list(Sequence[T]): # needed by some test cases def __getitem__(self, x: int) -> T: pass def __iter__(self) -> Iterator[T]: pass def __mul__(self, x: int) -> list[T]: pass def __contains__(self, item: object) -> bool: pass def append(self, item: T) -> None: pass class tuple(Generic[T]): pass class function: pass class float: pass class complex: pass class bool(int): pass class ellipsis: __class__: object def isinstance(x: object, t: Union[type, Tuple[type, ...]]) -> bool: pass class BaseException: pass def iter(__iterable: Iterable[T]) -> Iterator[T]: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/dict.pyi0000644000175100017510000000376015112307767020451 0ustar00runnerrunner# Builtins stub used in dictionary-related test cases (stripped down). # # NOTE: Use dict-full.pyi if you need more builtins instead of adding here, # if feasible. from _typeshed import SupportsKeysAndGetItem import _typeshed from typing import ( TypeVar, Generic, Iterable, Iterator, Mapping, Tuple, overload, Optional, Union, Sequence, Self, ) T = TypeVar('T') T2 = TypeVar('T2') KT = TypeVar('KT') VT = TypeVar('VT') class object: def __init__(self) -> None: pass def __eq__(self, other: object) -> bool: pass class type: pass class dict(Mapping[KT, VT]): @overload def __init__(self, **kwargs: VT) -> None: pass @overload def __init__(self, arg: Iterable[Tuple[KT, VT]], **kwargs: VT) -> None: pass def __getitem__(self, key: KT) -> VT: pass def __setitem__(self, k: KT, v: VT) -> None: pass def __iter__(self) -> Iterator[KT]: pass def __contains__(self, item: object) -> int: pass def update(self, a: SupportsKeysAndGetItem[KT, VT]) -> None: pass @overload def get(self, k: KT) -> Optional[VT]: pass @overload def get(self, k: KT, default: Union[VT, T]) -> Union[VT, T]: pass def __len__(self) -> int: ... class int: # for convenience def __add__(self, x: Union[int, complex]) -> int: pass def __radd__(self, x: int) -> int: pass def __sub__(self, x: Union[int, complex]) -> int: pass class str: pass # for keyword argument key type class bytes: pass class list(Sequence[T]): # needed by some test cases def __getitem__(self, x: int) -> T: pass def __iter__(self) -> Iterator[T]: pass def __mul__(self, x: int) -> list[T]: pass def __contains__(self, item: object) -> bool: pass def append(self, item: T) -> None: pass class tuple(Generic[T]): pass class function: pass class float: pass class complex: pass class bool(int): pass class ellipsis: pass class BaseException: pass def isinstance(x: object, t: Union[type, Tuple[type, ...]]) -> bool: pass def iter(__iterable: Iterable[T]) -> Iterator[T]: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/divmod.pyi0000644000175100017510000000112615112307767021002 0ustar00runnerrunnerfrom typing import TypeVar, Tuple, SupportsInt class object: def __init__(self): pass class int(SupportsInt): def __divmod__(self, other: int) -> Tuple[int, int]: pass def __rdivmod__(self, other: int) -> Tuple[int, int]: pass class float(SupportsInt): def __divmod__(self, other: float) -> Tuple[float, float]: pass def __rdivmod__(self, other: float) -> Tuple[float, float]: pass class tuple: pass class function: pass class str: pass class type: pass class ellipsis: pass _N = TypeVar('_N', int, float) def divmod(_x: _N, _y: _N) -> Tuple[_N, _N]: ... class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/enum.pyi0000644000175100017510000000107415112307767020466 0ustar00runnerrunner# Minimal set of builtins required to work with Enums from typing import TypeVar, Generic, Iterator, Sequence, overload, Iterable T = TypeVar('T') class object: def __init__(self): pass class type: pass class tuple(Generic[T]): def __getitem__(self, x: int) -> T: pass class int: pass class str: def __len__(self) -> int: pass def __iter__(self) -> Iterator[str]: pass class dict: pass class ellipsis: pass class list(Sequence[T]): @overload def __init__(self) -> None: pass @overload def __init__(self, x: Iterable[T]) -> None: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/exception.pyi0000644000175100017510000000150015112307767021512 0ustar00runnerrunnerimport sys from typing import Generic, TypeVar T = TypeVar('T') class object: def __init__(self): pass class type: pass class tuple(Generic[T]): def __ge__(self, other: object) -> bool: ... class list: pass class dict: pass class function: pass class int: pass class float: pass class str: pass class bool: pass class ellipsis: pass class BaseException: def __init__(self, *args: object) -> None: ... class Exception(BaseException): pass class RuntimeError(Exception): pass class NotImplementedError(RuntimeError): pass if sys.version_info >= (3, 11): _BT_co = TypeVar("_BT_co", bound=BaseException, covariant=True) _T_co = TypeVar("_T_co", bound=Exception, covariant=True) class BaseExceptionGroup(BaseException, Generic[_BT_co]): ... class ExceptionGroup(BaseExceptionGroup[_T_co], Exception): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/f_string.pyi0000644000175100017510000000150615112307767021335 0ustar00runnerrunner# Builtins stub used for format-string-related test cases. # We need str and list, and str needs join and format methods. from typing import TypeVar, Generic, Iterable, Iterator, List, overload T = TypeVar('T') class object: def __init__(self): pass class type: def __init__(self, x) -> None: pass class ellipsis: pass class list(Iterable[T], Generic[T]): @overload def __init__(self) -> None: pass @overload def __init__(self, x: Iterable[T]) -> None: pass def append(self, x: T) -> None: pass class tuple(Generic[T]): pass class function: pass class int: def __add__(self, i: int) -> int: pass class float: pass class bool(int): pass class str: def __add__(self, s: str) -> str: pass def format(self, *args) -> str: pass def join(self, l: List[str]) -> str: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/fine_grained.pyi0000644000175100017510000000120315112307767022126 0ustar00runnerrunner# Small stub for fine-grained incremental checking test cases # # TODO: Migrate to regular stubs once fine-grained incremental is robust # enough to handle them. import types from typing import TypeVar, Generic T = TypeVar('T') class Any: pass class object: def __init__(self) -> None: pass class type: def __init__(self, x: Any) -> None: pass class int: def __add__(self, other: 'int') -> 'int': pass class str: def __add__(self, other: 'str') -> 'str': pass class float: pass class bytes: pass class tuple(Generic[T]): pass class function: pass class ellipsis: pass class list(Generic[T]): pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/float.pyi0000644000175100017510000000144215112307767020626 0ustar00runnerrunnerfrom typing import Generic, TypeVar, Any T = TypeVar('T') class object: def __init__(self) -> None: pass class type: def __init__(self, x: Any) -> None: pass class str: def __add__(self, other: 'str') -> 'str': pass def __rmul__(self, n: int) -> str: ... class bytes: pass class tuple(Generic[T]): pass class function: pass class ellipsis: pass class int: def __abs__(self) -> int: ... def __float__(self) -> float: ... def __int__(self) -> int: ... def __mul__(self, x: int) -> int: ... def __neg__(self) -> int: ... def __rmul__(self, x: int) -> int: ... class float: def __float__(self) -> float: ... def __int__(self) -> int: ... def __mul__(self, x: float) -> float: ... def __rmul__(self, x: float) -> float: ... class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/floatdict.pyi0000644000175100017510000000374015112307767021475 0ustar00runnerrunnerfrom typing import TypeVar, Generic, Iterable, Iterator, Mapping, Tuple, overload, Optional, Union, Any T = TypeVar('T') KT = TypeVar('KT') VT = TypeVar('VT') class object: def __init__(self) -> None: pass class type: def __init__(self, x: Any) -> None: pass class str: def __add__(self, other: 'str') -> 'str': pass def __rmul__(self, n: int) -> str: ... class bytes: pass class tuple(Generic[T]): pass class slice: pass class function: pass class ellipsis: pass class list(Iterable[T], Generic[T]): @overload def __init__(self) -> None: pass @overload def __init__(self, x: Iterable[T]) -> None: pass def __iter__(self) -> Iterator[T]: pass def __add__(self, x: list[T]) -> list[T]: pass def __mul__(self, x: int) -> list[T]: pass def __getitem__(self, x: int) -> T: pass def append(self, x: T) -> None: pass def extend(self, x: Iterable[T]) -> None: pass class dict(Mapping[KT, VT], Generic[KT, VT]): @overload def __init__(self, **kwargs: VT) -> None: pass @overload def __init__(self, arg: Iterable[Tuple[KT, VT]], **kwargs: VT) -> None: pass def __setitem__(self, k: KT, v: VT) -> None: pass def __getitem__(self, k: KT) -> VT: pass def __iter__(self) -> Iterator[KT]: pass def update(self, a: Mapping[KT, VT]) -> None: pass @overload def get(self, k: KT) -> Optional[VT]: pass @overload def get(self, k: KT, default: Union[KT, T]) -> Union[VT, T]: pass class int: def __float__(self) -> float: ... def __int__(self) -> int: ... def __mul__(self, x: int) -> int: ... def __rmul__(self, x: int) -> int: ... def __truediv__(self, x: int) -> int: ... def __rtruediv__(self, x: int) -> int: ... class float: def __float__(self) -> float: ... def __int__(self) -> int: ... def __mul__(self, x: float) -> float: ... def __rmul__(self, x: float) -> float: ... def __truediv__(self, x: float) -> float: ... def __rtruediv__(self, x: float) -> float: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/for.pyi0000644000175100017510000000113515112307767020306 0ustar00runnerrunner# builtins stub used in for statement test cases from typing import TypeVar, Generic, Iterable, Iterator, Generator from abc import abstractmethod, ABCMeta t = TypeVar('t') class object: def __init__(self) -> None: pass class type: pass class tuple(Generic[t]): def __iter__(self) -> Iterator[t]: pass class function: pass class ellipsis: pass class bool: pass class int: pass # for convenience class float: pass # for convenience class str: # for convenience def upper(self) -> str: ... class list(Iterable[t], Generic[t]): def __iter__(self) -> Iterator[t]: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/function.pyi0000644000175100017510000000020315112307767021340 0ustar00runnerrunnerclass object: def __init__(self): pass class type: pass class function: pass class int: pass class str: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/isinstance.pyi0000644000175100017510000000136615112307767021666 0ustar00runnerrunnerfrom typing import Tuple, TypeVar, Generic, Union, cast, Any, Type T = TypeVar('T') class object: def __init__(self) -> None: pass class type: def __init__(self, x) -> None: pass def __or__(self, other: type) -> type: pass class tuple(Generic[T]): pass class function: pass def isinstance(x: object, t: Union[Type[object], Tuple[Type[object], ...]]) -> bool: pass def issubclass(x: object, t: Union[Type[object], Tuple[Type[object], ...]]) -> bool: pass def hasattr(x: object, name: str) -> bool: pass class int: def __add__(self, other: 'int') -> 'int': pass class float: pass class bool(int): pass class str: def __add__(self, other: 'str') -> 'str': pass class ellipsis: pass NotImplemented = cast(Any, None) class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/isinstance_python3_10.pyi0000644000175100017510000000137515112307767023652 0ustar00runnerrunner# For Python 3.10+ only from typing import Tuple, TypeVar, Generic, Union, cast, Any, Type import types T = TypeVar('T') class object: def __init__(self) -> None: pass class type: def __init__(self, x) -> None: pass def __or__(self, x) -> types.UnionType: pass class tuple(Generic[T]): pass class function: pass def isinstance(x: object, t: Union[Type[object], Tuple[Type[object], ...], types.UnionType]) -> bool: pass def issubclass(x: object, t: Union[Type[object], Tuple[Type[object], ...]]) -> bool: pass class int: def __add__(self, other: 'int') -> 'int': pass class float: pass class bool(int): pass class str: def __add__(self, other: 'str') -> 'str': pass class ellipsis: pass NotImplemented = cast(Any, None) class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/isinstancelist.pyi0000644000175100017510000000352115112307767022555 0ustar00runnerrunnerfrom typing import ( Iterable, Iterator, TypeVar, List, Mapping, overload, Tuple, Set, Union, Generic, Sequence ) class object: def __init__(self) -> None: pass def __eq__(self, other: object) -> bool: pass class type: def __init__(self, x) -> None: pass class function: pass class classmethod: pass class ellipsis: pass EllipsisType = ellipsis Ellipsis = ellipsis() def isinstance(x: object, t: Union[type, Tuple]) -> bool: pass def issubclass(x: object, t: Union[type, Tuple]) -> bool: pass class int: def __add__(self, x: int) -> int: pass class float: pass class bool(int): pass class str: def __add__(self, x: str) -> str: pass def __getitem__(self, x: int) -> str: pass class bytes: pass T = TypeVar('T') KT = TypeVar('KT') VT = TypeVar('VT') class tuple(Generic[T]): def __len__(self) -> int: pass class list(Sequence[T]): def __iter__(self) -> Iterator[T]: pass def __mul__(self, x: int) -> list[T]: pass def __setitem__(self, x: int, v: T) -> None: pass def __getitem__(self, x: int) -> T: pass def __add__(self, x: List[T]) -> T: pass def __contains__(self, item: object) -> bool: pass def append(self, x: T) -> None: pass def extend(self, x: Iterable[T]) -> None: pass class dict(Mapping[KT, VT]): @overload def __init__(self, **kwargs: VT) -> None: pass @overload def __init__(self, arg: Iterable[Tuple[KT, VT]], **kwargs: VT) -> None: pass def __setitem__(self, k: KT, v: VT) -> None: pass def __iter__(self) -> Iterator[KT]: pass def update(self, a: Mapping[KT, VT]) -> None: pass def items(self) -> Iterable[Tuple[KT, VT]]: pass class set(Generic[T]): def __iter__(self) -> Iterator[T]: pass def add(self, x: T) -> None: pass def discard(self, x: T) -> None: pass def update(self, x: Set[T]) -> None: pass def pop(self) -> T: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/len.pyi0000644000175100017510000000201515112307767020274 0ustar00runnerrunnerfrom typing import Tuple, TypeVar, Generic, Union, Type, Sequence, Mapping from typing_extensions import Protocol T = TypeVar("T") V = TypeVar("V") class object: def __init__(self) -> None: pass class type: def __init__(self, x) -> None: pass class tuple(Sequence[T]): def __len__(self) -> int: pass class list(Sequence[T]): pass class dict(Mapping[T, V]): pass class function: pass class Sized(Protocol): def __len__(self) -> int: pass def len(__obj: Sized) -> int: ... def isinstance(x: object, t: Union[Type[object], Tuple[Type[object], ...]]) -> bool: pass class int: def __add__(self, other: int) -> int: pass def __eq__(self, other: int) -> bool: pass def __ne__(self, other: int) -> bool: pass def __lt__(self, n: int) -> bool: pass def __gt__(self, n: int) -> bool: pass def __le__(self, n: int) -> bool: pass def __ge__(self, n: int) -> bool: pass def __neg__(self) -> int: pass class float: pass class bool(int): pass class str(Sequence[str]): pass class ellipsis: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/list.pyi0000644000175100017510000000215215112307767020473 0ustar00runnerrunner# Builtins stub used in list-related test cases. from typing import TypeVar, Generic, Iterable, Iterator, Sequence, overload T = TypeVar('T') class object: def __init__(self) -> None: pass def __eq__(self, other: object) -> bool: pass class type: pass class ellipsis: pass class list(Sequence[T]): @overload def __init__(self) -> None: pass @overload def __init__(self, x: Iterable[T]) -> None: pass def __iter__(self) -> Iterator[T]: pass def __len__(self) -> int: pass def __contains__(self, item: object) -> bool: pass def __add__(self, x: list[T]) -> list[T]: pass def __mul__(self, x: int) -> list[T]: pass def __getitem__(self, x: int) -> T: pass def __setitem__(self, x: int, v: T) -> None: pass def append(self, x: T) -> None: pass def extend(self, x: Iterable[T]) -> None: pass class tuple(Generic[T]): pass class function: pass class int: def __bool__(self) -> bool: pass class float: def __bool__(self) -> bool: pass class str: def __len__(self) -> bool: pass class bool(int): pass property = object() # Dummy definition. class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/literal__new__.pyi0000644000175100017510000000106215112307767022461 0ustar00runnerrunnerfrom typing import Literal, Protocol, overload class object: def __init__(self) -> None: pass class type: def __init__(self, x) -> None: pass class str: pass class dict: pass class float: pass class int: def __new__(cls) -> Literal[0]: pass class _Truthy(Protocol): def __bool__(self) -> Literal[True]: pass class _Falsy(Protocol): def __bool__(self) -> Literal[False]: pass class bool(int): @overload def __new__(cls, __o: _Truthy) -> Literal[True]: pass @overload def __new__(cls, __o: _Falsy) -> Literal[False]: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/module.pyi0000644000175100017510000000103015112307767020777 0ustar00runnerrunnerfrom typing import Any, Dict, Generic, TypeVar, Sequence from types import ModuleType T = TypeVar('T') S = TypeVar('S') class list(Generic[T], Sequence[T]): pass # type: ignore class object: def __init__(self) -> None: pass class type: pass class function: pass class int: pass class float: pass class str: pass class bool: pass class tuple(Generic[T]): pass class dict(Generic[T, S]): pass class ellipsis: pass classmethod = object() staticmethod = object() property = object() def hasattr(x: object, name: str) -> bool: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/module_all.pyi0000644000175100017510000000100115112307767021625 0ustar00runnerrunnerfrom typing import Generic, Sequence, TypeVar from types import ModuleType _T = TypeVar('_T') class object: def __init__(self) -> None: pass class type: pass class function: pass class int: pass class str: pass class bool: pass class list(Generic[_T], Sequence[_T]): def append(self, x: _T): pass def extend(self, x: Sequence[_T]): pass def remove(self, x: _T): pass def __add__(self, rhs: Sequence[_T]) -> list[_T]: pass class tuple(Generic[_T]): pass class ellipsis: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/narrowing.pyi0000644000175100017510000000077715112307767021541 0ustar00runnerrunner# Builtins stub used in check-narrowing test cases. from typing import Generic, Sequence, Tuple, Type, TypeVar, Union Tco = TypeVar('Tco', covariant=True) KT = TypeVar("KT") VT = TypeVar("VT") class object: def __init__(self) -> None: pass class type: pass class tuple(Sequence[Tco], Generic[Tco]): pass class function: pass class ellipsis: pass class int: pass class str: pass class dict(Generic[KT, VT]): pass def isinstance(x: object, t: Union[Type[object], Tuple[Type[object], ...]]) -> bool: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/notimplemented.pyi0000644000175100017510000000101715112307767022543 0ustar00runnerrunner# builtins stub used in NotImplemented related cases. from typing import Any class object: def __init__(self) -> None: pass class type: pass class function: pass class bool: pass class int: pass class str: pass class dict: pass class tuple: pass class ellipsis: pass import sys if sys.version_info >= (3, 10): # type: ignore from types import NotImplementedType NotImplemented: NotImplementedType else: class _NotImplementedType(Any): ... NotImplemented: _NotImplementedType class BaseException: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/object_hashable.pyi0000644000175100017510000000024715112307767022620 0ustar00runnerrunnerclass object: def __hash__(self) -> int: ... class type: ... class int: ... class float: ... class str: ... class ellipsis: ... class tuple: ... class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/object_with_init_subclass.pyi0000644000175100017510000000416515112307767024751 0ustar00runnerrunnerfrom typing import Sequence, Iterator, TypeVar, Mapping, Iterable, Optional, Union, overload, Tuple, Generic, List class object: def __init__(self) -> None: ... def __init_subclass__(cls) -> None: ... T = TypeVar('T') KT = TypeVar('KT') VT = TypeVar('VT') # copy pasted from primitives.pyi class type: def __init__(self, x) -> None: pass class int: # Note: this is a simplification of the actual signature def __init__(self, x: object = ..., base: int = ...) -> None: pass def __add__(self, i: int) -> int: pass class float: def __float__(self) -> float: pass class complex: pass class bool(int): pass class str(Sequence[str]): def __add__(self, s: str) -> str: pass def __iter__(self) -> Iterator[str]: pass def __contains__(self, other: object) -> bool: pass def __getitem__(self, item: int) -> str: pass def format(self, *args) -> str: pass class bytes(Sequence[int]): def __iter__(self) -> Iterator[int]: pass def __contains__(self, other: object) -> bool: pass def __getitem__(self, item: int) -> int: pass class bytearray: pass class tuple(Generic[T]): pass class function: pass class ellipsis: pass # copy-pasted from list.pyi class list(Sequence[T]): def __iter__(self) -> Iterator[T]: pass def __mul__(self, x: int) -> list[T]: pass def __setitem__(self, x: int, v: T) -> None: pass def __getitem__(self, x: int) -> T: pass def __add__(self, x: List[T]) -> T: pass def __contains__(self, item: object) -> bool: pass # copy-pasted from dict.pyi class dict(Mapping[KT, VT]): @overload def __init__(self, **kwargs: VT) -> None: pass @overload def __init__(self, arg: Iterable[Tuple[KT, VT]], **kwargs: VT) -> None: pass def __getitem__(self, key: KT) -> VT: pass def __setitem__(self, k: KT, v: VT) -> None: pass def __iter__(self) -> Iterator[KT]: pass def __contains__(self, item: object) -> int: pass def update(self, a: Mapping[KT, VT]) -> None: pass @overload def get(self, k: KT) -> Optional[VT]: pass @overload def get(self, k: KT, default: Union[KT, T]) -> Union[VT, T]: pass def __len__(self) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/ops.pyi0000644000175100017510000000505615112307767020327 0ustar00runnerrunnerfrom typing import overload, Any, Generic, Sequence, Tuple, TypeVar, Optional Tco = TypeVar('Tco', covariant=True) # This is an extension of transform builtins with additional operations. class object: def __init__(self) -> None: pass def __eq__(self, o: 'object') -> 'bool': pass def __ne__(self, o: 'object') -> 'bool': pass class type: pass class slice: pass class tuple(Sequence[Tco]): def __getitem__(self, x: int) -> Tco: pass def __eq__(self, x: object) -> bool: pass def __ne__(self, x: object) -> bool: pass def __lt__(self, x: Tuple[Tco, ...]) -> bool: pass def __le__(self, x: Tuple[Tco, ...]) -> bool: pass def __gt__(self, x: Tuple[Tco, ...]) -> bool: pass def __ge__(self, x: Tuple[Tco, ...]) -> bool: pass class function: pass class str: def __init__(self, x: 'int' = ...) -> None: pass def __add__(self, x: 'str') -> 'str': pass def __eq__(self, x: object) -> bool: pass def startswith(self, x: 'str') -> bool: pass def strip(self) -> 'str': pass class int: def __add__(self, x: 'int') -> 'int': pass def __radd__(self, x: 'int') -> 'int': pass def __sub__(self, x: 'int') -> 'int': pass def __mul__(self, x: 'int') -> 'int': pass def __div__(self, x: 'int') -> 'int': pass def __rdiv__(self, x: 'int') -> 'int': pass def __truediv__(self, x: 'int') -> 'int': pass def __rtruediv__(self, x: 'int') -> 'int': pass def __mod__(self, x: 'int') -> 'int': pass def __floordiv__(self, x: 'int') -> 'int': pass def __pow__(self, x: 'int', __modulo: Optional[int] = ...) -> Any: pass def __pos__(self) -> 'int': pass def __neg__(self) -> 'int': pass def __eq__(self, x: object) -> bool: pass def __ne__(self, x: object) -> bool: pass def __lt__(self, x: 'int') -> bool: pass def __le__(self, x: 'int') -> bool: pass def __gt__(self, x: 'int') -> bool: pass def __ge__(self, x: 'int') -> bool: pass class bool(int): pass class float: def __add__(self, x: 'float') -> 'float': pass def __radd__(self, x: 'float') -> 'float': pass def __div__(self, x: 'float') -> 'float': pass def __rdiv__(self, x: 'float') -> 'float': pass def __truediv__(self, x: 'float') -> 'float': pass def __rtruediv__(self, x: 'float') -> 'float': pass class complex: def __add__(self, x: complex) -> complex: pass def __radd__(self, x: complex) -> complex: pass class BaseException: pass def __print(a1: object = None, a2: object = None, a3: object = None, a4: object = None) -> None: pass class ellipsis: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/paramspec.pyi0000644000175100017510000000450415112307767021476 0ustar00runnerrunner# builtins stub for paramspec-related test cases import _typeshed from typing import ( Sequence, Generic, TypeVar, Iterable, Iterator, Tuple, Mapping, Optional, Union, Type, overload, Protocol ) T = TypeVar("T") T_co = TypeVar('T_co', covariant=True) KT = TypeVar("KT") VT = TypeVar("VT") class object: def __init__(self) -> None: ... class function: ... class ellipsis: ... class classmethod: ... class type: def __init__(self, *a: object) -> None: ... def __call__(self, *a: object) -> object: ... class list(Sequence[T], Generic[T]): @overload def __getitem__(self, i: int) -> T: ... @overload def __getitem__(self, s: slice) -> list[T]: ... def __contains__(self, item: object) -> bool: ... def __iter__(self) -> Iterator[T]: ... class int: def __neg__(self) -> int: ... def __add__(self, other: int) -> int: ... class bool(int): ... class float: ... class slice: ... class str: ... class bytes: ... class tuple(Sequence[T_co], Generic[T_co]): def __new__(cls: Type[T], iterable: Iterable[T_co] = ...) -> T: ... def __iter__(self) -> Iterator[T_co]: ... def __contains__(self, item: object) -> bool: ... def __getitem__(self, x: int) -> T_co: ... def __mul__(self, n: int) -> Tuple[T_co, ...]: ... def __rmul__(self, n: int) -> Tuple[T_co, ...]: ... def __add__(self, x: Tuple[T_co, ...]) -> Tuple[T_co, ...]: ... def __len__(self) -> int: ... def count(self, obj: object) -> int: ... class _ItemsView(Iterable[Tuple[KT, VT]]): ... class dict(Mapping[KT, VT]): @overload def __init__(self, **kwargs: VT) -> None: ... @overload def __init__(self, arg: Iterable[Tuple[KT, VT]], **kwargs: VT) -> None: ... def __getitem__(self, key: KT) -> VT: ... def __setitem__(self, k: KT, v: VT) -> None: ... def __iter__(self) -> Iterator[KT]: ... def __contains__(self, item: object) -> int: ... def update(self, a: Mapping[KT, VT]) -> None: ... @overload def get(self, k: KT) -> Optional[VT]: ... @overload def get(self, k: KT, default: Union[KT, T]) -> Union[VT, T]: ... def __len__(self) -> int: ... def pop(self, k: KT) -> VT: ... def items(self) -> _ItemsView[KT, VT]: ... def isinstance(x: object, t: type) -> bool: ... class _Sized(Protocol): def __len__(self) -> int: ... def len(x: _Sized) -> int: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/plugin_attrs.pyi0000644000175100017510000000224715112307767022240 0ustar00runnerrunner# Builtins stub used to support attrs plugin tests. from typing import Union, overload, Generic, Sequence, TypeVar, Type, Iterable, Iterator class object: def __init__(self) -> None: pass def __eq__(self, o: object) -> bool: pass def __ne__(self, o: object) -> bool: pass def __hash__(self) -> int: ... class type: pass class bytes: pass class function: pass class float: pass class int: @overload def __init__(self, x: Union[str, bytes, int] = ...) -> None: ... @overload def __init__(self, x: Union[str, bytes], base: int) -> None: ... class bool(int): pass class complex: @overload def __init__(self, real: float = ..., im: float = ...) -> None: ... @overload def __init__(self, real: str = ...) -> None: ... class str: pass class ellipsis: pass class list: pass class dict: pass T = TypeVar("T") Tco = TypeVar('Tco', covariant=True) class tuple(Sequence[Tco], Generic[Tco]): def __new__(cls: Type[T], iterable: Iterable[Tco] = ...) -> T: ... def __iter__(self) -> Iterator[Tco]: pass def __contains__(self, item: object) -> bool: pass def __getitem__(self, x: int) -> Tco: pass property = object() # Dummy definition ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/primitives.pyi0000644000175100017510000000557615112307767021730 0ustar00runnerrunner# builtins stub with non-generic primitive types import _typeshed from typing import Generic, TypeVar, Sequence, Iterator, Mapping, Iterable, Tuple, Union T = TypeVar('T') V = TypeVar('V') class object: def __init__(self) -> None: pass def __str__(self) -> str: pass def __eq__(self, other: object) -> bool: pass def __ne__(self, other: object) -> bool: pass class type: def __init__(self, x: object) -> None: pass # Real implementation returns UnionType def __or__(self, value: object, /) -> object: pass class int: # Note: this is a simplification of the actual signature def __init__(self, x: object = ..., base: int = ...) -> None: pass def __add__(self, i: int) -> int: pass def __rmul__(self, x: int) -> int: pass def __bool__(self) -> bool: pass class float: def __float__(self) -> float: pass def __add__(self, x: float) -> float: pass def hex(self) -> str: pass class complex: def __add__(self, x: complex) -> complex: pass class bool(int): pass class str(Sequence[str]): def __add__(self, s: str) -> str: pass def __iter__(self) -> Iterator[str]: pass def __contains__(self, other: object) -> bool: pass def __getitem__(self, item: int) -> str: pass def format(self, *args: object, **kwargs: object) -> str: pass class bytes(Sequence[int]): def __iter__(self) -> Iterator[int]: pass def __contains__(self, other: object) -> bool: pass def __getitem__(self, item: int) -> int: pass class bytearray(Sequence[int]): def __init__(self, x: bytes) -> None: pass def __iter__(self) -> Iterator[int]: pass def __contains__(self, other: object) -> bool: pass def __getitem__(self, item: int) -> int: pass class memoryview(Sequence[int]): def __init__(self, x: bytes) -> None: pass def __iter__(self) -> Iterator[int]: pass def __contains__(self, other: object) -> bool: pass def __getitem__(self, item: int) -> int: pass class tuple(Generic[T]): def __contains__(self, other: object) -> bool: pass class list(Sequence[T]): def append(self, v: T) -> None: pass def __iter__(self) -> Iterator[T]: pass def __contains__(self, other: object) -> bool: pass def __getitem__(self, item: int) -> T: pass class dict(Mapping[T, V]): def __iter__(self) -> Iterator[T]: pass class set(Iterable[T]): def __iter__(self) -> Iterator[T]: pass class frozenset(Iterable[T]): def __iter__(self) -> Iterator[T]: pass class function: pass class ellipsis: pass class range(Sequence[int]): def __init__(self, __x: int, __y: int = ..., __z: int = ...) -> None: pass def count(self, value: int) -> int: pass def index(self, value: int) -> int: pass def __getitem__(self, i: int) -> int: pass def __iter__(self) -> Iterator[int]: pass def __contains__(self, other: object) -> bool: pass def isinstance(x: object, t: Union[type, Tuple]) -> bool: pass class BaseException: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/property.pyi0000644000175100017510000000067515112307767021414 0ustar00runnerrunnerimport typing _T = typing.TypeVar('_T') class object: def __init__(self) -> None: pass class type: def __init__(self, x: typing.Any) -> None: pass class function: pass property = object() # Dummy definition class classmethod: pass class list(typing.Generic[_T]): pass class dict: pass class int: pass class float: pass class str: pass class bytes: pass class bool: pass class ellipsis: pass class tuple(typing.Generic[_T]): pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/set.pyi0000644000175100017510000000137415112307767020320 0ustar00runnerrunner# Builtins stub used in set-related test cases. from typing import TypeVar, Generic, Iterator, Iterable, Set T = TypeVar('T') class object: def __init__(self) -> None: pass def __eq__(self, other): pass class type: pass class tuple(Generic[T]): pass class function: pass class int: pass class float: pass class str: pass class bool: pass class ellipsis: pass class set(Iterable[T], Generic[T]): def __init__(self, iterable: Iterable[T] = ...) -> None: ... def __iter__(self) -> Iterator[T]: pass def __contains__(self, item: object) -> bool: pass def __ior__(self, x: Set[T]) -> None: pass def add(self, x: T) -> None: pass def discard(self, x: T) -> None: pass def update(self, x: Set[T]) -> None: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/slice.pyi0000644000175100017510000000057115112307767020622 0ustar00runnerrunner# Builtins stub used in slicing test cases. from typing import Generic, TypeVar T = TypeVar('T') class object: def __init__(self): pass class type: pass class tuple(Generic[T]): pass class function: pass class int: pass class str: pass class slice: pass class ellipsis: pass class dict: pass class list(Generic[T]): def __getitem__(self, x: slice) -> list[T]: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/staticmethod.pyi0000644000175100017510000000063115112307767022210 0ustar00runnerrunnerimport typing class object: def __init__(self) -> None: pass class type: def __init__(self, x) -> None: pass class function: pass staticmethod = object() # Dummy definition. property = object() # Dummy definition class int: @staticmethod def from_bytes(bytes: bytes, byteorder: str) -> int: pass class str: pass class bytes: pass class ellipsis: pass class dict: pass class tuple: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/transform.pyi0000644000175100017510000000167115112307767021540 0ustar00runnerrunner# Builtins stubs used implicitly in program transformation test cases. class object: def __init__(self) -> None: pass class type: pass # str is handy for debugging; allows outputting messages. class str: pass # Primitive types int/float have special coercion behaviour (they may have # a different representation from ordinary values). class int: pass class float: pass # The functions below are special functions used in test cases; their # implementations are actually in the __dynchk module, but they are defined # here so that the semantic analyzer and the type checker are happy without # having to analyze the entire __dynchk module all the time. # # The transformation implementation has special case handling for these # functions; it's a bit ugly but it works for now. def __print(a1=None, a2=None, a3=None, a4=None): # Do not use *args since this would require list and break many test # cases. pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/tuple-simple.pyi0000644000175100017510000000076515112307767022150 0ustar00runnerrunner# Builtins stub used in some tuple-related test cases. # # This is a simpler version of tuple.py which is useful # and makes some test cases easier to write/debug. from typing import Iterable, TypeVar, Generic T = TypeVar('T', covariant=True) class object: def __init__(self): pass class type: pass class tuple(Generic[T]): def __getitem__(self, x: int) -> T: pass class function: pass # We need int for indexing tuples. class int: pass class str: pass # For convenience class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/tuple.pyi0000644000175100017510000000333015112307767020650 0ustar00runnerrunner# Builtins stub used in tuple-related test cases. import _typeshed from typing import Iterable, Iterator, TypeVar, Generic, Sequence, Optional, overload, Tuple, Type, Self _T = TypeVar("_T") _Tco = TypeVar('_Tco', covariant=True) class object: def __init__(self) -> None: pass def __new__(cls) -> Self: ... class type: def __init__(self, *a: object) -> None: pass def __call__(self, *a: object) -> object: pass class tuple(Sequence[_Tco], Generic[_Tco]): def __hash__(self) -> int: ... def __new__(cls: Type[_T], iterable: Iterable[_Tco] = ...) -> _T: ... def __iter__(self) -> Iterator[_Tco]: pass def __contains__(self, item: object) -> bool: pass @overload def __getitem__(self, x: int) -> _Tco: pass @overload def __getitem__(self, x: slice) -> Tuple[_Tco, ...]: ... def __mul__(self, n: int) -> Tuple[_Tco, ...]: pass def __rmul__(self, n: int) -> Tuple[_Tco, ...]: pass def __add__(self, x: Tuple[_Tco, ...]) -> Tuple[_Tco, ...]: pass def count(self, obj: object) -> int: pass class function: __name__: str class ellipsis: pass class classmethod: pass # We need int and slice for indexing tuples. class int: def __neg__(self) -> 'int': pass def __pos__(self) -> 'int': pass class float: pass class slice: pass class bool(int): pass class str: pass # For convenience class bytes: pass class bytearray: pass class list(Sequence[_T], Generic[_T]): @overload def __getitem__(self, i: int) -> _T: ... @overload def __getitem__(self, s: slice) -> list[_T]: ... def __contains__(self, item: object) -> bool: ... def __iter__(self) -> Iterator[_T]: ... def isinstance(x: object, t: type) -> bool: pass class BaseException: pass class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/type.pyi0000644000175100017510000000163415112307767020505 0ustar00runnerrunner# builtins stub used in type-related test cases. from typing import Any, Generic, TypeVar, List, Union import sys import types T = TypeVar("T") S = TypeVar("S") class object: def __init__(self) -> None: pass def __str__(self) -> 'str': pass class list(Generic[T]): pass class type: __name__: str def __call__(self, *args: Any, **kwargs: Any) -> Any: pass def __or__(self, other: Union[type, None]) -> type: pass def __ror__(self, other: Union[type, None]) -> type: pass def mro(self) -> List['type']: pass class tuple(Generic[T]): pass class dict(Generic[T, S]): pass class function: pass class bool: pass class int: pass class str: pass class ellipsis: pass class float: pass if sys.version_info >= (3, 10): # type: ignore def isinstance(obj: object, class_or_tuple: type | types.UnionType, /) -> bool: ... else: def isinstance(obj: object, class_or_tuple: type, /) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/typing-async.pyi0000644000175100017510000000763515112307767022160 0ustar00runnerrunner# Test stub for typing module, with features for async/await related tests. # # Use [typing fixtures/typing-async.pyi] to use this instead of lib-stub/typing.pyi # in a particular test case. # # Many of the definitions have special handling in the type checker, so they # can just be initialized to anything. from abc import abstractmethod, ABCMeta cast = 0 overload = 0 Any = object() Union = 0 Optional = 0 TypeVar = 0 Generic = 0 Protocol = 0 Tuple = 0 Callable = 0 NamedTuple = 0 Type = 0 ClassVar = 0 Final = 0 Literal = 0 NoReturn = 0 Self = 0 T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) R_co = TypeVar('R_co', covariant=True) T_contra = TypeVar('T_contra', contravariant=True) S_contra = TypeVar('S_contra', contravariant=True) U = TypeVar('U') V = TypeVar('V') S = TypeVar('S') # Note: definitions below are different from typeshed, variances are declared # to silence the protocol variance checks. Maybe it is better to use type: ignore? class Container(Protocol[T_co]): @abstractmethod # Use int because bool isn't in the default test builtins def __contains__(self, arg: object) -> int: pass class Iterable(Protocol[T_co]): @abstractmethod def __iter__(self) -> 'Iterator[T_co]': pass class Iterator(Iterable[T_co], Protocol): @abstractmethod def __next__(self) -> T_co: pass class Generator(Iterator[T_co], Generic[T_co, S_contra, R_co]): @abstractmethod def send(self, value: S_contra) -> T_co: pass @abstractmethod def throw(self, typ: Any, val: Any=None, tb: Any=None) -> None: pass @abstractmethod def close(self) -> None: pass @abstractmethod def __iter__(self) -> 'Generator[T_co, S_contra, R_co]': pass class AsyncGenerator(AsyncIterator[T_co], Generic[T_co, S_contra]): @abstractmethod def __anext__(self) -> Awaitable[T_co]: pass @abstractmethod def asend(self, value: S_contra) -> Awaitable[T_co]: pass @abstractmethod def athrow(self, typ: Any, val: Any=None, tb: Any=None) -> Awaitable[T_co]: pass @abstractmethod def aclose(self) -> Awaitable[T_co]: pass @abstractmethod def __aiter__(self) -> 'AsyncGenerator[T_co, S_contra]': pass class Awaitable(Protocol[T_co]): @abstractmethod def __await__(self) -> Generator[Any, Any, T_co]: pass class AwaitableGenerator( Awaitable[R_co], Generator[T_co, S_contra, R_co], Generic[T_co, S_contra, R_co, S], metaclass=ABCMeta ): pass class Coroutine(Awaitable[R_co], Generic[T_co, S_contra, R_co]): @abstractmethod def send(self, value: S_contra) -> T_co: pass @abstractmethod def throw(self, typ: Any, val: Any=None, tb: Any=None) -> None: pass @abstractmethod def close(self) -> None: pass class AsyncIterable(Protocol[T_co]): @abstractmethod def __aiter__(self) -> 'AsyncIterator[T_co]': pass class AsyncIterator(AsyncIterable[T_co], Protocol): def __aiter__(self) -> 'AsyncIterator[T_co]': return self @abstractmethod def __anext__(self) -> Awaitable[T_co]: pass class Sequence(Iterable[T_co], Container[T_co]): @abstractmethod def __getitem__(self, n: Any) -> T_co: pass class Mapping(Iterable[T], Generic[T, T_co], metaclass=ABCMeta): def keys(self) -> Iterable[T]: pass # Approximate return type def __getitem__(self, key: T) -> T_co: pass @overload def get(self, k: T) -> Optional[T_co]: pass @overload def get(self, k: T, default: Union[T_co, V]) -> Union[T_co, V]: pass class ContextManager(Generic[T_co]): def __enter__(self) -> T_co: pass # Use Any because not all the precise types are in the fixtures. def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> Any: pass class AsyncContextManager(Generic[T_co]): def __aenter__(self) -> Awaitable[T_co]: pass # Use Any because not all the precise types are in the fixtures. def __aexit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> Awaitable[Any]: pass class _SpecialForm: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/typing-full.pyi0000644000175100017510000001464715112307767022006 0ustar00runnerrunner# More complete stub for typing module. # # Use [typing fixtures/typing-full.pyi] to use this instead of lib-stub/typing.pyi # in a particular test case. # # Many of the definitions have special handling in the type checker, so they # can just be initialized to anything. from abc import abstractmethod, ABCMeta class GenericMeta(type): pass class _SpecialForm: def __getitem__(self, index: Any) -> Any: ... def __or__(self, other): ... def __ror__(self, other): ... class TypeVar: def __init__(self, name, *args, bound=None): ... def __or__(self, other): ... class ParamSpec: ... class TypeVarTuple: ... def cast(t, o): ... def assert_type(o, t): ... overload = 0 Any = object() Optional = 0 Generic = 0 Protocol = 0 Tuple = 0 _promote = 0 Type = 0 TypeForm = 0 no_type_check = 0 ClassVar = 0 Final = 0 TypedDict = 0 TypeGuard = 0 NoReturn = 0 NewType = 0 Self = 0 Unpack = 0 Callable: _SpecialForm Union: _SpecialForm Literal: _SpecialForm T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) R_co = TypeVar('R_co', covariant=True) S_contra = TypeVar('S_contra', contravariant=True) U = TypeVar('U') V = TypeVar('V') S = TypeVar('S') def final(x: T) -> T: ... class NamedTuple(tuple[Any, ...]): ... # Note: definitions below are different from typeshed, variances are declared # to silence the protocol variance checks. Maybe it is better to use type: ignore? @runtime_checkable class Hashable(Protocol, metaclass=ABCMeta): @abstractmethod def __hash__(self) -> int: pass @runtime_checkable class Container(Protocol[T_co]): @abstractmethod # Use int because bool isn't in the default test builtins def __contains__(self, arg: object) -> int: pass @runtime_checkable class Sized(Protocol): @abstractmethod def __len__(self) -> int: pass @runtime_checkable class Iterable(Protocol[T_co]): @abstractmethod def __iter__(self) -> 'Iterator[T_co]': pass @runtime_checkable class Iterator(Iterable[T_co], Protocol): @abstractmethod def __next__(self) -> T_co: pass class Generator(Iterator[T_co], Generic[T_co, S_contra, R_co]): @abstractmethod def send(self, value: S_contra) -> T_co: pass @abstractmethod def throw(self, typ: Any, val: Any=None, tb: Any=None) -> None: pass @abstractmethod def close(self) -> None: pass @abstractmethod def __iter__(self) -> 'Generator[T_co, S_contra, R_co]': pass class AsyncGenerator(AsyncIterator[T_co], Generic[T_co, S_contra]): @abstractmethod def __anext__(self) -> Awaitable[T_co]: pass @abstractmethod def asend(self, value: S_contra) -> Awaitable[T_co]: pass @abstractmethod def athrow(self, typ: Any, val: Any=None, tb: Any=None) -> Awaitable[T_co]: pass @abstractmethod def aclose(self) -> Awaitable[T_co]: pass @abstractmethod def __aiter__(self) -> 'AsyncGenerator[T_co, S_contra]': pass @runtime_checkable class Awaitable(Protocol[T_co]): @abstractmethod def __await__(self) -> Generator[Any, Any, T_co]: pass class AwaitableGenerator( Awaitable[R_co], Generator[T_co, S_contra, R_co], Generic[T_co, S_contra, R_co, S], metaclass=ABCMeta ): pass class Coroutine(Awaitable[R_co], Generic[T_co, S_contra, R_co]): @abstractmethod def send(self, value: S_contra) -> T_co: pass @abstractmethod def throw(self, typ: Any, val: Any=None, tb: Any=None) -> None: pass @abstractmethod def close(self) -> None: pass @runtime_checkable class AsyncIterable(Protocol[T_co]): @abstractmethod def __aiter__(self) -> 'AsyncIterator[T_co]': pass @runtime_checkable class AsyncIterator(AsyncIterable[T_co], Protocol): def __aiter__(self) -> 'AsyncIterator[T_co]': return self @abstractmethod def __anext__(self) -> Awaitable[T_co]: pass class Sequence(Iterable[T_co], Container[T_co]): @abstractmethod def __getitem__(self, n: Any) -> T_co: pass class MutableSequence(Sequence[T]): @abstractmethod def __setitem__(self, n: Any, o: T) -> None: pass class Mapping(Iterable[T], Generic[T, T_co], metaclass=ABCMeta): def keys(self) -> Iterable[T]: pass # Approximate return type def __getitem__(self, key: T) -> T_co: pass @overload def get(self, k: T) -> Optional[T_co]: pass @overload def get(self, k: T, default: Union[T_co, V]) -> Union[T_co, V]: pass def values(self) -> Iterable[T_co]: pass # Approximate return type def __len__(self) -> int: ... def __contains__(self, arg: object) -> int: pass class MutableMapping(Mapping[T, U], metaclass=ABCMeta): def __setitem__(self, k: T, v: U) -> None: pass class SupportsInt(Protocol): def __int__(self) -> int: pass class SupportsFloat(Protocol): def __float__(self) -> float: pass class SupportsAbs(Protocol[T_co]): def __abs__(self) -> T_co: pass def runtime_checkable(cls: T) -> T: return cls class ContextManager(Generic[T_co]): def __enter__(self) -> T_co: pass # Use Any because not all the precise types are in the fixtures. def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> Any: pass TYPE_CHECKING = 1 # Fallback type for all typed dicts (does not exist at runtime). class _TypedDict(Mapping[str, object]): # Needed to make this class non-abstract. It is explicitly declared abstract in # typeshed, but we don't want to import abc here, as it would slow down the tests. def __iter__(self) -> Iterator[str]: ... def copy(self: T) -> T: ... # Using NoReturn so that only calls using the plugin hook can go through. def setdefault(self, k: NoReturn, default: object) -> object: ... # Mypy expects that 'default' has a type variable type. def pop(self, k: NoReturn, default: T = ...) -> object: ... def update(self: T, __m: T) -> None: ... def __delitem__(self, k: NoReturn) -> None: ... def dataclass_transform( *, eq_default: bool = ..., order_default: bool = ..., kw_only_default: bool = ..., field_specifiers: tuple[type[Any] | Callable[..., Any], ...] = ..., **kwargs: Any, ) -> Callable[[T], T]: ... def override(__arg: T) -> T: ... # Was added in 3.11 def reveal_type(__obj: T) -> T: ... # Only exists in type checking time: def type_check_only(__func_or_class: T) -> T: ... # Was added in 3.12 @final class TypeAliasType: def __init__( self, name: str, value: Any, *, type_params: Tuple[Union[TypeVar, ParamSpec, TypeVarTuple], ...] = () ) -> None: ... def __or__(self, other: Any) -> Any: ... def __ror__(self, other: Any) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/typing-medium.pyi0000644000175100017510000000352615112307767022316 0ustar00runnerrunner# More complete stub for typing module. # # Use [typing fixtures/typing-medium.pyi] to use this instead of lib-stub/typing.pyi # in a particular test case. # # Many of the definitions have special handling in the type checker, so they # can just be initialized to anything. cast = 0 overload = 0 Any = object() Union = 0 Optional = 0 TypeVar = 0 Generic = 0 Protocol = 0 Tuple = 0 Callable = 0 _promote = 0 NamedTuple = 0 Type = 0 no_type_check = 0 ClassVar = 0 Final = 0 Literal = 0 TypedDict = 0 NoReturn = 0 NewType = 0 TypeAlias = 0 LiteralString = 0 Self = 0 T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) R_co = TypeVar('R_co', covariant=True) S_contra = TypeVar('S_contra', contravariant=True) # Note: definitions below are different from typeshed, variances are declared # to silence the protocol variance checks. Maybe it is better to use type: ignore? class Sized(Protocol): def __len__(self) -> int: pass class Iterable(Protocol[T_co]): def __iter__(self) -> 'Iterator[T_co]': pass class Iterator(Iterable[T_co], Protocol): def __next__(self) -> T_co: pass class Generator(Iterator[T_co], Generic[T_co, S_contra, R_co]): def __iter__(self) -> 'Generator[T_co, S_contra, R_co]': pass class Sequence(Iterable[T_co]): def __getitem__(self, n: Any) -> T_co: pass class Mapping(Iterable[T], Generic[T, T_co]): def keys(self) -> Iterable[T]: pass # Approximate return type def __getitem__(self, key: T) -> T_co: pass class SupportsInt(Protocol): def __int__(self) -> int: pass class SupportsFloat(Protocol): def __float__(self) -> float: pass class ContextManager(Generic[T_co]): def __enter__(self) -> T_co: pass # Use Any because not all the precise types are in the fixtures. def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> Any: pass class _SpecialForm: pass TYPE_CHECKING = 1 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/typing-namedtuple.pyi0000644000175100017510000000142415112307767023167 0ustar00runnerrunnerTypeVar = 0 Generic = 0 Any = object() overload = 0 Type = 0 Literal = 0 Optional = 0 Self = 0 Tuple = 0 ClassVar = 0 Final = 0 T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) KT = TypeVar('KT') class Iterable(Generic[T_co]): pass class Iterator(Iterable[T_co]): pass class Sequence(Iterable[T_co]): pass class Mapping(Iterable[KT], Generic[KT, T_co]): def keys(self) -> Iterable[KT]: pass # Approximate return type def __getitem__(self, key: KT) -> T_co: pass class NamedTuple(tuple[Any, ...]): _fields: ClassVar[tuple[str, ...]] @overload def __init__(self, typename: str, fields: Iterable[tuple[str, Any]] = ...) -> None: ... @overload def __init__(self, typename: str, fields: None = None, **kwargs: Any) -> None: ... class _SpecialForm: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/typing-override.pyi0000644000175100017510000000103715112307767022650 0ustar00runnerrunnerTypeVar = 0 Generic = 0 Any = object() overload = 0 Type = 0 Literal = 0 Optional = 0 Self = 0 Tuple = 0 ClassVar = 0 Callable = 0 T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) KT = TypeVar('KT') class Iterable(Generic[T_co]): pass class Iterator(Iterable[T_co]): pass class Sequence(Iterable[T_co]): pass class Mapping(Iterable[KT], Generic[KT, T_co]): def keys(self) -> Iterable[KT]: pass # Approximate return type def __getitem__(self, key: KT) -> T_co: pass def override(__arg: T) -> T: ... class _SpecialForm: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/typing-typeddict-iror.pyi0000644000175100017510000000350715112307767023777 0ustar00runnerrunner# Test stub for typing module that includes TypedDict `|` operator. # It only covers `__or__`, `__ror__`, and `__ior__`. # # We cannot define these methods in `typing-typeddict.pyi`, # because they need `dict` with two type args, # and not all tests using `[typing typing-typeddict.pyi]` have the proper # `dict` stub. # # Keep in sync with `typeshed`'s definition. from abc import ABCMeta cast = 0 assert_type = 0 overload = 0 Any = object() Union = 0 Optional = 0 TypeVar = 0 Generic = 0 Protocol = 0 Tuple = 0 Callable = 0 NamedTuple = 0 Final = 0 Literal = 0 TypedDict = 0 NoReturn = 0 Required = 0 NotRequired = 0 Self = 0 T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) V = TypeVar('V') # Note: definitions below are different from typeshed, variances are declared # to silence the protocol variance checks. Maybe it is better to use type: ignore? class Sized(Protocol): def __len__(self) -> int: pass class Iterable(Protocol[T_co]): def __iter__(self) -> 'Iterator[T_co]': pass class Iterator(Iterable[T_co], Protocol): def __next__(self) -> T_co: pass class Sequence(Iterable[T_co]): # misc is for explicit Any. def __getitem__(self, n: Any) -> T_co: pass # type: ignore[misc] class Mapping(Iterable[T], Generic[T, T_co], metaclass=ABCMeta): pass # Fallback type for all typed dicts (does not exist at runtime). class _TypedDict(Mapping[str, object]): @overload def __or__(self, __value: Self) -> Self: ... @overload def __or__(self, __value: dict[str, Any]) -> dict[str, object]: ... @overload def __ror__(self, __value: Self) -> Self: ... @overload def __ror__(self, __value: dict[str, Any]) -> dict[str, object]: ... # supposedly incompatible definitions of __or__ and __ior__ def __ior__(self, __value: Self) -> Self: ... # type: ignore[misc] class _SpecialForm: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/typing-typeddict.pyi0000644000175100017510000000513615112307767023026 0ustar00runnerrunner# Test stub for typing module that includes TypedDict related things. # # Use [typing fixtures/typing-typeddict.pyi] to use this instead of lib-stub/typing.pyi # in a particular test case. # # Many of the definitions have special handling in the type checker, so they # can just be initialized to anything. from abc import ABCMeta cast = 0 assert_type = 0 overload = 0 Any = object() Union = 0 Optional = 0 TypeVar = 0 Generic = 0 Protocol = 0 Tuple = 0 Callable = 0 NamedTuple = 0 Final = 0 Literal = 0 TypedDict = 0 NoReturn = 0 NewType = 0 Required = 0 NotRequired = 0 ReadOnly = 0 Self = 0 ClassVar = 0 T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) V = TypeVar('V') # Note: definitions below are different from typeshed, variances are declared # to silence the protocol variance checks. Maybe it is better to use type: ignore? class Sized(Protocol): def __len__(self) -> int: pass class Iterable(Protocol[T_co]): def __iter__(self) -> 'Iterator[T_co]': pass class Iterator(Iterable[T_co], Protocol): def __next__(self) -> T_co: pass class Sequence(Iterable[T_co]): def __getitem__(self, n: Any) -> T_co: pass # type: ignore[explicit-any] class Mapping(Iterable[T], Generic[T, T_co], metaclass=ABCMeta): def keys(self) -> Iterable[T]: pass # Approximate return type def __getitem__(self, key: T) -> T_co: pass @overload def get(self, k: T) -> Optional[T_co]: pass @overload def get(self, k: T, default: T_co, /) -> Optional[T_co]: pass # type: ignore[misc] @overload def get(self, k: T, default: V, /) -> Union[T_co, V]: pass def values(self) -> Iterable[T_co]: pass # Approximate return type def __len__(self) -> int: ... def __contains__(self, arg: object) -> int: pass class MutableMapping(Mapping[T, V], Generic[T, V], metaclass=ABCMeta): # Other methods are not used in tests. def clear(self) -> None: ... # Fallback type for all typed dicts (does not exist at runtime). class _TypedDict(Mapping[str, object]): # Needed to make this class non-abstract. It is explicitly declared abstract in # typeshed, but we don't want to import abc here, as it would slow down the tests. def __iter__(self) -> Iterator[str]: ... def copy(self: T) -> T: ... # Using NoReturn so that only calls using the plugin hook can go through. def setdefault(self, k: NoReturn, default: object) -> object: ... # Mypy expects that 'default' has a type variable type. def pop(self, k: NoReturn, default: T = ...) -> object: ... def update(self: T, __m: T) -> None: ... def __delitem__(self, k: NoReturn) -> None: ... class _SpecialForm: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/fixtures/union.pyi0000644000175100017510000000055515112307767020655 0ustar00runnerrunner# Builtins stub used in tuple-related test cases. from isinstance import isinstance from typing import Iterable, TypeVar, Generic T = TypeVar('T') class object: def __init__(self): pass class type: pass class function: pass class tuple(Generic[T]): pass # We need int for indexing tuples. class int: pass class str: pass # For convenience class dict: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/hacks.txt0000644000175100017510000000570415112307767016764 0ustar00runnerrunnerWeird legacy stuff in test cases ================================ Due to historical reasons, test cases contain things that may appear baffling without extra context. This file attempts to describe most of them. Dummy if statements to prevent redefinition ------------------------------------------- Many test cases use if statements to prevent an assignment from creating a new variable. This in anticipation of allowing assignments to redefine variables by default. Conditional assignments will continue to refine a previously defined variable instead of defining a new one. When the test cases were written, we didn't anticipate that variables could be allowed to be redefined, and adding if statements was the easiest way to migrate these tests. Example: ``` x = 0 if int(): x = '' # Always generates an error since this is not a redefinition y = 0 y = '' # This could be valid if a new 'y' is defined here ``` Note that some of the checks may turn out to be redundant, as the exact rules for what constitutes a redefinition are still up for debate. This is okay since the extra if statements generally don't otherwise affect semantics. There are a few ways this is used, depending on the context: * `if int():` is the most common one. Assignments in the if body won't redefine variables defined before the if statement. * `if 1:` is used if the body of the if statement returns a value, and mypy would complain about a missing return statement otherwise. This works since `if 1:` is treated as an always taken condition, whereas `if int():` is not recognized as such. * `if str():` is used if the builtins fixture doesn't define `int` for some reason. Function definition to prevent redefinition ------------------------------------------- Sometimes test cases assume that a variable is not redefined, and we insert a dummy function definition to prevent this, since variables won't be able to be redefined across a function definition. Example: ``` x = 0 def f(): pass x = '' # Does not redefine x because of the definition of f() above ``` Dummy variable reference to allow redefinition ---------------------------------------------- The plan is to only allow a variable to be redefined if the value has been accessed. This wouldn't count as redefinition, since `x` is never read: ``` x = 0 x = '' # Not a redefinition ``` Sometimes we add a dummy variable access to allow redefinition in the future, or to trigger the redefinition machinery even if redefinition should not be okay: ``` x = 0 x x = '' # Could be a redefinition ``` The reason for this special case is type comments with dummy initializers, where the second assignment should never be treated as a redefinition: ``` x = None # type: int x = '' # Should not redefine x, since it has only been declared ``` Similarly, if there is only a variable annotation, the first assignment won't redefine the variable, as this would override the declared type: ``` x: int x = '' # Should not redefine x ``` ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7467668 mypy-1.19.0/test-data/unit/lib-stub/0000755000175100017510000000000015112310012016616 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/_decimal.pyi0000644000175100017510000000017015112307767021123 0ustar00runnerrunner# Very simplified decimal stubs for use in tests class Decimal: def __new__(cls, value: str = ...) -> Decimal: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/_typeshed.pyi0000644000175100017510000000040615112307767021354 0ustar00runnerrunnerfrom typing import Protocol, TypeVar, Iterable _KT = TypeVar("_KT") _VT_co = TypeVar("_VT_co", covariant=True) class SupportsKeysAndGetItem(Protocol[_KT, _VT_co]): def keys(self) -> Iterable[_KT]: pass def __getitem__(self, __key: _KT) -> _VT_co: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/_weakref.pyi0000644000175100017510000000073715112307767021162 0ustar00runnerrunnerfrom typing import Any, Callable, TypeVar, overload from weakref import CallableProxyType, ProxyType _C = TypeVar("_C", bound=Callable[..., Any]) _T = TypeVar("_T") # Return CallableProxyType if object is callable, ProxyType otherwise @overload def proxy(object: _C, callback: Callable[[CallableProxyType[_C]], Any] | None = None, /) -> CallableProxyType[_C]: ... @overload def proxy(object: _T, callback: Callable[[ProxyType[_T]], Any] | None = None, /) -> ProxyType[_T]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/abc.pyi0000644000175100017510000000034015112307767020112 0ustar00runnerrunnerfrom typing import Type, Any, TypeVar T = TypeVar('T', bound=Type[Any]) class ABCMeta(type): def register(cls, tp: T) -> T: pass class ABC(metaclass=ABCMeta): pass abstractmethod = object() abstractproperty = object() ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7467668 mypy-1.19.0/test-data/unit/lib-stub/attr/0000755000175100017510000000000015112310012017570 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/attr/__init__.pyi0000644000175100017510000001750615112307767022112 0ustar00runnerrunnerfrom typing import TypeVar, overload, Callable, Any, Type, Optional, Union, Sequence, Mapping, Generic _T = TypeVar('_T') _C = TypeVar('_C', bound=type) _ValidatorType = Callable[[Any, Any, _T], Any] _ConverterType = Callable[[Any], _T] _FilterType = Callable[[Any, Any], bool] _ValidatorArgType = Union[_ValidatorType[_T], Sequence[_ValidatorType[_T]]] # This form catches explicit None or no default but with no other arguments returns Any. @overload def attrib(default: None = ..., validator: None = ..., repr: bool = ..., cmp: Optional[bool] = ..., hash: Optional[bool] = ..., init: bool = ..., convert: None = ..., metadata: Optional[Mapping[Any, Any]] = ..., type: None = ..., converter: None = ..., factory: None = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., ) -> Any: ... # This form catches an explicit None or no default and infers the type from the other arguments. @overload def attrib(default: None = ..., validator: Optional[_ValidatorArgType[_T]] = ..., repr: bool = ..., cmp: Optional[bool] = ..., hash: Optional[bool] = ..., init: bool = ..., convert: Optional[_ConverterType[_T]] = ..., metadata: Optional[Mapping[Any, Any]] = ..., type: Optional[Type[_T]] = ..., converter: Optional[_ConverterType[_T]] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., ) -> _T: ... # This form catches an explicit default argument. @overload def attrib(default: _T, validator: Optional[_ValidatorArgType[_T]] = ..., repr: bool = ..., cmp: Optional[bool] = ..., hash: Optional[bool] = ..., init: bool = ..., convert: Optional[_ConverterType[_T]] = ..., metadata: Optional[Mapping[Any, Any]] = ..., type: Optional[Type[_T]] = ..., converter: Optional[_ConverterType[_T]] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., ) -> _T: ... # This form covers type=non-Type: e.g. forward references (str), Any @overload def attrib(default: Optional[_T] = ..., validator: Optional[_ValidatorArgType[_T]] = ..., repr: bool = ..., cmp: Optional[bool] = ..., hash: Optional[bool] = ..., init: bool = ..., convert: Optional[_ConverterType[_T]] = ..., metadata: Optional[Mapping[Any, Any]] = ..., type: object = ..., converter: Optional[_ConverterType[_T]] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., ) -> Any: ... @overload def attrs(maybe_cls: _C, these: Optional[Mapping[str, Any]] = ..., repr_ns: Optional[str] = ..., repr: bool = ..., cmp: Optional[bool] = ..., hash: Optional[bool] = ..., init: bool = ..., slots: bool = ..., frozen: bool = ..., weakref_slot: bool = ..., str: bool = ..., auto_attribs: bool = ..., kw_only: bool = ..., cache_hash: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., match_args: bool = ..., ) -> _C: ... @overload def attrs(maybe_cls: None = ..., these: Optional[Mapping[str, Any]] = ..., repr_ns: Optional[str] = ..., repr: bool = ..., cmp: Optional[bool] = ..., hash: Optional[bool] = ..., init: bool = ..., slots: bool = ..., frozen: bool = ..., weakref_slot: bool = ..., str: bool = ..., auto_attribs: bool = ..., kw_only: bool = ..., cache_hash: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., match_args: bool = ..., ) -> Callable[[_C], _C]: ... class Attribute(Generic[_T]): pass # aliases s = attributes = attrs ib = attr = attrib dataclass = attrs # Technically, partial(attrs, auto_attribs=True) ;) # Next Generation API @overload def define( maybe_cls: _C, *, these: Optional[Mapping[str, Any]] = ..., repr: bool = ..., unsafe_hash: Optional[bool]=None, hash: Optional[bool] = ..., init: bool = ..., slots: bool = ..., frozen: bool = ..., weakref_slot: bool = ..., str: bool = ..., auto_attribs: bool = ..., kw_only: bool = ..., cache_hash: bool = ..., auto_exc: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., auto_detect: bool = ..., getstate_setstate: Optional[bool] = ..., on_setattr: Optional[object] = ..., ) -> _C: ... @overload def define( maybe_cls: None = ..., *, these: Optional[Mapping[str, Any]] = ..., repr: bool = ..., unsafe_hash: Optional[bool]=None, hash: Optional[bool] = ..., init: bool = ..., slots: bool = ..., frozen: bool = ..., weakref_slot: bool = ..., str: bool = ..., auto_attribs: bool = ..., kw_only: bool = ..., cache_hash: bool = ..., auto_exc: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., auto_detect: bool = ..., getstate_setstate: Optional[bool] = ..., on_setattr: Optional[object] = ..., ) -> Callable[[_C], _C]: ... mutable = define frozen = define # they differ only in their defaults @overload def field( *, default: None = ..., validator: None = ..., repr: object = ..., hash: Optional[bool] = ..., init: bool = ..., metadata: Optional[Mapping[Any, Any]] = ..., converter: None = ..., factory: None = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., on_setattr: Optional[_OnSetAttrArgType] = ..., ) -> Any: ... # This form catches an explicit None or no default and infers the type from the # other arguments. @overload def field( *, default: None = ..., validator: Optional[_ValidatorArgType[_T]] = ..., repr: object = ..., hash: Optional[bool] = ..., init: bool = ..., metadata: Optional[Mapping[Any, Any]] = ..., converter: Optional[_ConverterType] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., on_setattr: Optional[object] = ..., ) -> _T: ... # This form catches an explicit default argument. @overload def field( *, default: _T, validator: Optional[_ValidatorArgType[_T]] = ..., repr: object = ..., hash: Optional[bool] = ..., init: bool = ..., metadata: Optional[Mapping[Any, Any]] = ..., converter: Optional[_ConverterType] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., on_setattr: Optional[object] = ..., ) -> _T: ... # This form covers type=non-Type: e.g. forward references (str), Any @overload def field( *, default: Optional[_T] = ..., validator: Optional[_ValidatorArgType[_T]] = ..., repr: object = ..., hash: Optional[bool] = ..., init: bool = ..., metadata: Optional[Mapping[Any, Any]] = ..., converter: Optional[_ConverterType] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., on_setattr: Optional[object] = ..., ) -> Any: ... def evolve(inst: _T, **changes: Any) -> _T: ... def assoc(inst: _T, **changes: Any) -> _T: ... def fields(cls: type) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/attr/converters.pyi0000644000175100017510000000053715112307767022541 0ustar00runnerrunnerfrom typing import TypeVar, Optional, Callable, overload from . import _ConverterType _T = TypeVar("_T") def optional( converter: _ConverterType[_T] ) -> _ConverterType[Optional[_T]]: ... @overload def default_if_none(default: _T) -> _ConverterType[_T]: ... @overload def default_if_none(*, factory: Callable[[], _T]) -> _ConverterType[_T]: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7477667 mypy-1.19.0/test-data/unit/lib-stub/attrs/0000755000175100017510000000000015112310012017753 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/attrs/__init__.pyi0000644000175100017510000001010215112307767022256 0ustar00runnerrunnerfrom typing import TypeVar, overload, Callable, Any, Optional, Union, Sequence, Mapping, \ Protocol, ClassVar, Type from typing_extensions import TypeGuard from attr import Attribute as Attribute class AttrsInstance(Protocol): __attrs_attrs__: ClassVar[Any] _T = TypeVar('_T') _C = TypeVar('_C', bound=type) _ValidatorType = Callable[[Any, Any, _T], Any] _ConverterType = Callable[[Any], _T] _ValidatorArgType = Union[_ValidatorType[_T], Sequence[_ValidatorType[_T]]] @overload def define( maybe_cls: _C, *, these: Optional[Mapping[str, Any]] = ..., repr: bool = ..., unsafe_hash: Optional[bool]=None, hash: Optional[bool] = ..., init: bool = ..., slots: bool = ..., frozen: bool = ..., weakref_slot: bool = ..., str: bool = ..., auto_attribs: bool = ..., kw_only: bool = ..., cache_hash: bool = ..., auto_exc: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., auto_detect: bool = ..., getstate_setstate: Optional[bool] = ..., on_setattr: Optional[object] = ..., ) -> _C: ... @overload def define( maybe_cls: None = ..., *, these: Optional[Mapping[str, Any]] = ..., repr: bool = ..., unsafe_hash: Optional[bool]=None, hash: Optional[bool] = ..., init: bool = ..., slots: bool = ..., frozen: bool = ..., weakref_slot: bool = ..., str: bool = ..., auto_attribs: bool = ..., kw_only: bool = ..., cache_hash: bool = ..., auto_exc: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., auto_detect: bool = ..., getstate_setstate: Optional[bool] = ..., on_setattr: Optional[object] = ..., ) -> Callable[[_C], _C]: ... mutable = define frozen = define # they differ only in their defaults @overload def field( *, default: None = ..., validator: None = ..., repr: object = ..., hash: Optional[bool] = ..., init: bool = ..., metadata: Optional[Mapping[Any, Any]] = ..., converter: None = ..., factory: None = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., on_setattr: Optional[_OnSetAttrArgType] = ..., alias: Optional[str] = ..., ) -> Any: ... # This form catches an explicit None or no default and infers the type from the # other arguments. @overload def field( *, default: None = ..., validator: Optional[_ValidatorArgType[_T]] = ..., repr: object = ..., hash: Optional[bool] = ..., init: bool = ..., metadata: Optional[Mapping[Any, Any]] = ..., converter: Optional[_ConverterType] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., on_setattr: Optional[object] = ..., alias: Optional[str] = ..., ) -> _T: ... # This form catches an explicit default argument. @overload def field( *, default: _T, validator: Optional[_ValidatorArgType[_T]] = ..., repr: object = ..., hash: Optional[bool] = ..., init: bool = ..., metadata: Optional[Mapping[Any, Any]] = ..., converter: Optional[_ConverterType] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., on_setattr: Optional[object] = ..., alias: Optional[str] = ..., ) -> _T: ... # This form covers type=non-Type: e.g. forward references (str), Any @overload def field( *, default: Optional[_T] = ..., validator: Optional[_ValidatorArgType[_T]] = ..., repr: object = ..., hash: Optional[bool] = ..., init: bool = ..., metadata: Optional[Mapping[Any, Any]] = ..., converter: Optional[_ConverterType] = ..., factory: Optional[Callable[[], _T]] = ..., kw_only: bool = ..., eq: Optional[bool] = ..., order: Optional[bool] = ..., on_setattr: Optional[object] = ..., alias: Optional[str] = ..., ) -> Any: ... def evolve(inst: _T, **changes: Any) -> _T: ... def assoc(inst: _T, **changes: Any) -> _T: ... def has(cls: type) -> TypeGuard[Type[AttrsInstance]]: ... def fields(cls: Type[AttrsInstance]) -> Any: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/attrs/converters.pyi0000644000175100017510000000054215112307767022720 0ustar00runnerrunnerfrom typing import TypeVar, Optional, Callable, overload from attr import _ConverterType _T = TypeVar("_T") def optional( converter: _ConverterType[_T] ) -> _ConverterType[Optional[_T]]: ... @overload def default_if_none(default: _T) -> _ConverterType[_T]: ... @overload def default_if_none(*, factory: Callable[[], _T]) -> _ConverterType[_T]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/blocker.pyi0000644000175100017510000000006615112307767021013 0ustar00runnerrunner# Stub file that generates a blocking parse error x y ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/blocker2.pyi0000644000175100017510000000010715112307767021071 0ustar00runnerrunner# Stub file that generates a blocking semantic analysis error continue ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/broken.pyi0000644000175100017510000000005215112307767020645 0ustar00runnerrunner# Stub file that generates an error x = y ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/builtins.pyi0000644000175100017510000000143315112307767021222 0ustar00runnerrunner# DO NOT ADD TO THIS FILE AS IT WILL SLOW DOWN TESTS! # # Use [builtins fixtures/...pyi] if you need more features. import _typeshed class object: def __init__(self) -> None: pass class type: def __init__(self, x: object) -> None: pass # These are provided here for convenience. class int: def __add__(self, other: int) -> int: pass class bool(int): pass class float: pass class str: pass class bytes: pass class function: __name__: str class ellipsis: pass from typing import Generic, Iterator, Sequence, TypeVar _T = TypeVar('_T') class list(Generic[_T], Sequence[_T]): def __contains__(self, item: object) -> bool: pass def __getitem__(self, key: int) -> _T: pass def __iter__(self) -> Iterator[_T]: pass class dict: pass # Definition of None is implicit ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/collections.pyi0000644000175100017510000000131515112307767021706 0ustar00runnerrunnerfrom typing import Any, Iterable, Union, Dict, TypeVar, Optional, Callable, Generic, Sequence, MutableMapping def namedtuple( typename: str, field_names: Union[str, Iterable[str]], *, # really bool but many tests don't have bool available rename: int = ..., module: Optional[str] = ..., defaults: Optional[Iterable[Any]] = ... ) -> Any: ... KT = TypeVar('KT') VT = TypeVar('VT') class OrderedDict(Dict[KT, VT]): ... class defaultdict(Dict[KT, VT]): def __init__(self, default_factory: Optional[Callable[[], VT]]) -> None: ... class Counter(Dict[KT, int], Generic[KT]): ... class deque(Sequence[KT], Generic[KT]): ... class ChainMap(MutableMapping[KT, VT], Generic[KT, VT]): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/contextlib.pyi0000644000175100017510000000114415112307767021543 0ustar00runnerrunnerfrom typing import AsyncIterator, Generic, TypeVar, Callable, Iterator from typing import ContextManager as ContextManager, AsyncContextManager as AsyncContextManager _T = TypeVar('_T') class GeneratorContextManager(ContextManager[_T], Generic[_T]): def __call__(self, func: Callable[..., _T]) -> Callable[..., _T]: ... # This does not match `typeshed` definition, needs `ParamSpec`: def contextmanager(func: Callable[..., Iterator[_T]]) -> Callable[..., GeneratorContextManager[_T]]: ... def asynccontextmanager(func: Callable[..., AsyncIterator[_T]]) -> Callable[..., AsyncContextManager[_T]]: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/dataclasses.pyi0000644000175100017510000000350515112307767021662 0ustar00runnerrunnerfrom typing import Any, Callable, Generic, Literal, Mapping, Optional, TypeVar, overload, Type, \ Protocol, ClassVar from typing_extensions import TypeGuard # DataclassInstance is in _typeshed.pyi normally, but alas we can't do the same for lib-stub # due to test-data/unit/lib-stub/builtins.pyi not having 'tuple'. class DataclassInstance(Protocol): __dataclass_fields__: ClassVar[dict[str, Field[Any]]] _T = TypeVar('_T') _DataclassT = TypeVar("_DataclassT", bound=DataclassInstance) class InitVar(Generic[_T]): ... class KW_ONLY: ... @overload def dataclass(_cls: Type[_T]) -> Type[_T]: ... @overload def dataclass(*, init: bool = ..., repr: bool = ..., eq: bool = ..., order: bool = ..., unsafe_hash: bool = ..., frozen: bool = ..., match_args: bool = ..., kw_only: bool = ..., slots: bool = ...) -> Callable[[Type[_T]], Type[_T]]: ... @overload def field(*, default: _T, init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...,) -> _T: ... @overload def field(*, default_factory: Callable[[], _T], init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...,) -> _T: ... @overload def field(*, init: bool = ..., repr: bool = ..., hash: Optional[bool] = ..., compare: bool = ..., metadata: Optional[Mapping[str, Any]] = ..., kw_only: bool = ...,) -> Any: ... class Field(Generic[_T]): pass @overload def is_dataclass(obj: DataclassInstance) -> Literal[True]: ... @overload def is_dataclass(obj: type) -> TypeGuard[type[DataclassInstance]]: ... @overload def is_dataclass(obj: object) -> TypeGuard[DataclassInstance | type[DataclassInstance]]: ... def replace(__obj: _DataclassT, **changes: Any) -> _DataclassT: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/datetime.pyi0000644000175100017510000000056515112307767021172 0ustar00runnerrunner# Very simplified datetime stubs for use in tests class datetime: def __new__( cls, year: int, month: int, day: int, hour: int = ..., minute: int = ..., second: int = ..., microsecond: int = ..., *, fold: int = ..., ) -> datetime: ... def __format__(self, __fmt: str) -> str: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/decimal.pyi0000644000175100017510000000011115112307767020757 0ustar00runnerrunner# Very simplified decimal stubs for use in tests from _decimal import * ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/enum.pyi0000644000175100017510000000350715112307767020341 0ustar00runnerrunnerfrom typing import Any, TypeVar, Union, Type, Sized, Iterator from typing_extensions import Literal _T = TypeVar('_T') class EnumMeta(type, Sized): def __len__(self) -> int: pass # to make it non-abstract def __iter__(self: Type[_T]) -> Iterator[_T]: pass def __reversed__(self: Type[_T]) -> Iterator[_T]: pass def __getitem__(self: Type[_T], name: str) -> _T: pass def __bool__(self) -> Literal[True]: pass class Enum(metaclass=EnumMeta): def __new__(cls: Type[_T], value: object) -> _T: pass def __repr__(self) -> str: pass def __str__(self) -> str: pass def __format__(self, format_spec: str) -> str: pass def __hash__(self) -> Any: pass def __reduce_ex__(self, proto: Any) -> Any: pass name: str value: Any _name_: str _value_: Any # In reality, _generate_next_value_ is python3.6 only and has a different signature. # However, this should be quick and doesn't require additional stubs (e.g. `staticmethod`) def _generate_next_value_(self) -> Any: pass class IntEnum(int, Enum): value: int _value_: int def __new__(cls: Type[_T], value: Union[int, _T]) -> _T: ... def unique(enumeration: _T) -> _T: pass # In reality Flag and IntFlag are 3.6 only class Flag(Enum): value: int _value_: int def __or__(self: _T, other: Union[int, _T]) -> _T: pass class IntFlag(int, Flag): def __and__(self: _T, other: Union[int, _T]) -> _T: pass class auto(IntFlag): value: Any # It is python-3.11+ only: class StrEnum(str, Enum): _value_: str value: str def __new__(cls: Type[_T], value: str | _T) -> _T: ... # It is python-3.11+ only: class nonmember(Generic[_T]): value: _T def __init__(self, value: _T) -> None: ... # It is python-3.11+ only: class member(Generic[_T]): value: _T def __init__(self, value: _T) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/functools.pyi0000644000175100017510000000315515112307767021410 0ustar00runnerrunnerfrom typing import Generic, TypeVar, Callable, Any, Mapping, Self, overload _T = TypeVar("_T") class _SingleDispatchCallable(Generic[_T]): registry: Mapping[Any, Callable[..., _T]] def dispatch(self, cls: Any) -> Callable[..., _T]: ... # @fun.register(complex) # def _(arg, verbose=False): ... @overload def register(self, cls: type[Any], func: None = ...) -> Callable[[Callable[..., _T]], Callable[..., _T]]: ... # @fun.register # def _(arg: int, verbose=False): @overload def register(self, cls: Callable[..., _T], func: None = ...) -> Callable[..., _T]: ... # fun.register(int, lambda x: x) @overload def register(self, cls: type[Any], func: Callable[..., _T]) -> Callable[..., _T]: ... def _clear_cache(self) -> None: ... def __call__(__self, *args: Any, **kwargs: Any) -> _T: ... def singledispatch(func: Callable[..., _T]) -> _SingleDispatchCallable[_T]: ... def total_ordering(cls: type[_T]) -> type[_T]: ... class cached_property(Generic[_T]): func: Callable[[Any], _T] attrname: str | None def __init__(self, func: Callable[[Any], _T]) -> None: ... @overload def __get__(self, instance: None, owner: type[Any] | None = ...) -> cached_property[_T]: ... @overload def __get__(self, instance: object, owner: type[Any] | None = ...) -> _T: ... def __set_name__(self, owner: type[Any], name: str) -> None: ... def __class_getitem__(cls, item: Any) -> Any: ... class partial(Generic[_T]): def __new__(cls, __func: Callable[..., _T], *args: Any, **kwargs: Any) -> Self: ... def __call__(__self, *args: Any, **kwargs: Any) -> _T: ... ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7477667 mypy-1.19.0/test-data/unit/lib-stub/future/0000755000175100017510000000000015112310012020130 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/future/__init__.pyi0000644000175100017510000000006715112307767022444 0ustar00runnerrunnerfrom __future__ import absolute_import, print_function ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/future/utils.pyi0000644000175100017510000000013115112307767022035 0ustar00runnerrunnerfrom typing import Type def with_metaclass(meta: Type[type], *bases: type) -> type: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/math.pyi0000644000175100017510000000115015112307767020316 0ustar00runnerrunnerpi: float e: float tau: float inf: float nan: float def sqrt(__x: float) -> float: ... def sin(__x: float) -> float: ... def cos(__x: float) -> float: ... def tan(__x: float) -> float: ... def exp(__x: float) -> float: ... def log(__x: float) -> float: ... def floor(__x: float) -> int: ... def ceil(__x: float) -> int: ... def fabs(__x: float) -> float: ... def pow(__x: float, __y: float) -> float: ... def copysign(__x: float, __y: float) -> float: ... def isinf(__x: float) -> bool: ... def isnan(__x: float) -> bool: ... def isfinite(__x: float) -> bool: ... def nextafter(__x: float, __y: float) -> float: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/mypy_extensions.pyi0000644000175100017510000001535615112307767022657 0ustar00runnerrunner# NOTE: Requires fixtures/dict.pyi from typing import ( Any, Dict, Type, TypeVar, Optional, Any, Generic, Mapping, NoReturn as NoReturn, Iterator, Union, Protocol ) _T = TypeVar('_T') _U = TypeVar('_U') def Arg(type: _T = ..., name: Optional[str] = ...) -> _T: ... def DefaultArg(type: _T = ..., name: Optional[str] = ...) -> _T: ... def NamedArg(type: _T = ..., name: Optional[str] = ...) -> _T: ... def DefaultNamedArg(type: _T = ..., name: Optional[str] = ...) -> _T: ... def VarArg(type: _T = ...) -> _T: ... def KwArg(type: _T = ...) -> _T: ... # Fallback type for all typed dicts (does not exist at runtime). class _TypedDict(Mapping[str, object]): # Needed to make this class non-abstract. It is explicitly declared abstract in # typeshed, but we don't want to import abc here, as it would slow down the tests. def __iter__(self) -> Iterator[str]: ... def copy(self: _T) -> _T: ... # Using NoReturn so that only calls using the plugin hook can go through. def setdefault(self, k: NoReturn, default: object) -> object: ... # Mypy expects that 'default' has a type variable type. def pop(self, k: NoReturn, default: _T = ...) -> object: ... def update(self: _T, __m: _T) -> None: ... def __delitem__(self, k: NoReturn) -> None: ... def TypedDict(typename: str, fields: Dict[str, Type[_T]], *, total: Any = ...) -> Type[dict]: ... # This is intended as a class decorator, but mypy rejects abstract classes # when a Type[_T] is expected, so we can't give it the type we want. def trait(cls: Any) -> Any: ... # The real type is in the comment but it isn't safe to use **kwargs in # a lib-stub because the fixtures might not have dict. Argh! # def mypyc_attr(*attrs: str, **kwattrs: object) -> Callable[[_T], _T]: ... mypyc_attr: Any class FlexibleAlias(Generic[_T, _U]): ... class __SupportsInt(Protocol[T_co]): def __int__(self) -> int: pass _Int = Union[int, u8, i16, i32, i64] class u8: def __init__(self, x: Union[_Int, str, bytes, SupportsInt], base: int = 10) -> None: ... def __add__(self, x: u8) -> u8: ... def __radd__(self, x: u8) -> u8: ... def __sub__(self, x: u8) -> u8: ... def __rsub__(self, x: u8) -> u8: ... def __mul__(self, x: u8) -> u8: ... def __rmul__(self, x: u8) -> u8: ... def __floordiv__(self, x: u8) -> u8: ... def __rfloordiv__(self, x: u8) -> u8: ... def __mod__(self, x: u8) -> u8: ... def __rmod__(self, x: u8) -> u8: ... def __and__(self, x: u8) -> u8: ... def __rand__(self, x: u8) -> u8: ... def __or__(self, x: u8) -> u8: ... def __ror__(self, x: u8) -> u8: ... def __xor__(self, x: u8) -> u8: ... def __rxor__(self, x: u8) -> u8: ... def __lshift__(self, x: u8) -> u8: ... def __rlshift__(self, x: u8) -> u8: ... def __rshift__(self, x: u8) -> u8: ... def __rrshift__(self, x: u8) -> u8: ... def __neg__(self) -> u8: ... def __invert__(self) -> u8: ... def __pos__(self) -> u8: ... def __lt__(self, x: u8) -> bool: ... def __le__(self, x: u8) -> bool: ... def __ge__(self, x: u8) -> bool: ... def __gt__(self, x: u8) -> bool: ... class i16: def __init__(self, x: Union[_Int, str, bytes, SupportsInt], base: int = 10) -> None: ... def __add__(self, x: i16) -> i16: ... def __radd__(self, x: i16) -> i16: ... def __sub__(self, x: i16) -> i16: ... def __rsub__(self, x: i16) -> i16: ... def __mul__(self, x: i16) -> i16: ... def __rmul__(self, x: i16) -> i16: ... def __floordiv__(self, x: i16) -> i16: ... def __rfloordiv__(self, x: i16) -> i16: ... def __mod__(self, x: i16) -> i16: ... def __rmod__(self, x: i16) -> i16: ... def __and__(self, x: i16) -> i16: ... def __rand__(self, x: i16) -> i16: ... def __or__(self, x: i16) -> i16: ... def __ror__(self, x: i16) -> i16: ... def __xor__(self, x: i16) -> i16: ... def __rxor__(self, x: i16) -> i16: ... def __lshift__(self, x: i16) -> i16: ... def __rlshift__(self, x: i16) -> i16: ... def __rshift__(self, x: i16) -> i16: ... def __rrshift__(self, x: i16) -> i16: ... def __neg__(self) -> i16: ... def __invert__(self) -> i16: ... def __pos__(self) -> i16: ... def __lt__(self, x: i16) -> bool: ... def __le__(self, x: i16) -> bool: ... def __ge__(self, x: i16) -> bool: ... def __gt__(self, x: i16) -> bool: ... class i32: def __init__(self, x: Union[_Int, str, bytes, SupportsInt], base: int = 10) -> None: ... def __add__(self, x: i32) -> i32: ... def __radd__(self, x: i32) -> i32: ... def __sub__(self, x: i32) -> i32: ... def __rsub__(self, x: i32) -> i32: ... def __mul__(self, x: i32) -> i32: ... def __rmul__(self, x: i32) -> i32: ... def __floordiv__(self, x: i32) -> i32: ... def __rfloordiv__(self, x: i32) -> i32: ... def __mod__(self, x: i32) -> i32: ... def __rmod__(self, x: i32) -> i32: ... def __and__(self, x: i32) -> i32: ... def __rand__(self, x: i32) -> i32: ... def __or__(self, x: i32) -> i32: ... def __ror__(self, x: i32) -> i32: ... def __xor__(self, x: i32) -> i32: ... def __rxor__(self, x: i32) -> i32: ... def __lshift__(self, x: i32) -> i32: ... def __rlshift__(self, x: i32) -> i32: ... def __rshift__(self, x: i32) -> i32: ... def __rrshift__(self, x: i32) -> i32: ... def __neg__(self) -> i32: ... def __invert__(self) -> i32: ... def __pos__(self) -> i32: ... def __lt__(self, x: i32) -> bool: ... def __le__(self, x: i32) -> bool: ... def __ge__(self, x: i32) -> bool: ... def __gt__(self, x: i32) -> bool: ... class i64: def __init__(self, x: Union[_Int, str, bytes, SupportsInt], base: int = 10) -> None: ... def __add__(self, x: i64) -> i64: ... def __radd__(self, x: i64) -> i64: ... def __sub__(self, x: i64) -> i64: ... def __rsub__(self, x: i64) -> i64: ... def __mul__(self, x: i64) -> i64: ... def __rmul__(self, x: i64) -> i64: ... def __floordiv__(self, x: i64) -> i64: ... def __rfloordiv__(self, x: i64) -> i64: ... def __mod__(self, x: i64) -> i64: ... def __rmod__(self, x: i64) -> i64: ... def __and__(self, x: i64) -> i64: ... def __rand__(self, x: i64) -> i64: ... def __or__(self, x: i64) -> i64: ... def __ror__(self, x: i64) -> i64: ... def __xor__(self, x: i64) -> i64: ... def __rxor__(self, x: i64) -> i64: ... def __lshift__(self, x: i64) -> i64: ... def __rlshift__(self, x: i64) -> i64: ... def __rshift__(self, x: i64) -> i64: ... def __rrshift__(self, x: i64) -> i64: ... def __neg__(self) -> i64: ... def __invert__(self) -> i64: ... def __pos__(self) -> i64: ... def __lt__(self, x: i64) -> bool: ... def __le__(self, x: i64) -> bool: ... def __ge__(self, x: i64) -> bool: ... def __gt__(self, x: i64) -> bool: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/native_internal.pyi0000644000175100017510000000114315112307767022551 0ustar00runnerrunnerfrom mypy_extensions import u8 class Buffer: def __init__(self, source: bytes = ...) -> None: ... def getvalue(self) -> bytes: ... def write_bool(data: Buffer, value: bool) -> None: ... def read_bool(data: Buffer) -> bool: ... def write_str(data: Buffer, value: str) -> None: ... def read_str(data: Buffer) -> str: ... def write_float(data: Buffer, value: float) -> None: ... def read_float(data: Buffer) -> float: ... def write_int(data: Buffer, value: int) -> None: ... def read_int(data: Buffer) -> int: ... def write_tag(data: Buffer, value: u8) -> None: ... def read_tag(data: Buffer) -> u8: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/numbers.pyi0000644000175100017510000000037215112307767021045 0ustar00runnerrunner# Test fixture for numbers # # The numbers module isn't properly supported, but we want to test that mypy # can tell that it doesn't work as expected. class Number: pass class Complex: pass class Real: pass class Rational: pass class Integral: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/six.pyi0000644000175100017510000000024615112307767020175 0ustar00runnerrunnerfrom typing import Type, Callable def with_metaclass(mcls: Type[type], *args: type) -> type: pass def add_metaclass(mcls: Type[type]) -> Callable[[type], type]: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/sys.pyi0000644000175100017510000000005615112307767020207 0ustar00runnerrunnerversion_info = (0, 0, 0, '', 0) platform = '' ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/traceback.pyi0000644000175100017510000000013715112307767021310 0ustar00runnerrunner# Very simplified traceback stubs for use in tests def print_tb(*args, **kwargs) -> None: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/types.pyi0000644000175100017510000000062015112307767020532 0ustar00runnerrunnerfrom typing import Any, TypeVar import sys _T = TypeVar('_T') def coroutine(func: _T) -> _T: pass class ModuleType: __file__: str def __getattr__(self, name: str) -> Any: pass class GenericAlias: def __or__(self, o): ... def __ror__(self, o): ... if sys.version_info >= (3, 10): class NoneType: ... class UnionType: def __or__(self, x) -> UnionType: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/typing.pyi0000644000175100017510000000333015112307767020701 0ustar00runnerrunner# Stub for typing module. Many of the definitions have special handling in # the type checker, so they can just be initialized to anything. # # DO NOT ADD TO THIS FILE UNLESS YOU HAVE A GOOD REASON! Additional definitions # will slow down tests. # # Use [typing fixtures/typing-{medium,full,async,...}.pyi] in a test case for # a more complete stub for typing. If you need to add things, add to one of # the stubs under fixtures/. cast = 0 assert_type = 0 overload = 0 Any = object() Union = 0 Optional = 0 TypeVar = 0 Generic = 0 Protocol = 0 Tuple = 0 Callable = 0 NamedTuple = 0 Type = 0 ClassVar = 0 Final = 0 Literal = 0 NoReturn = 0 Never = 0 NewType = 0 ParamSpec = 0 TypeVarTuple = 0 Unpack = 0 Self = 0 TYPE_CHECKING = 0 T = TypeVar('T') T_co = TypeVar('T_co', covariant=True) S_contra = TypeVar('S_contra', contravariant=True) R_co = TypeVar('R_co', covariant=True) class Iterable(Protocol[T_co]): def __iter__(self) -> Iterator[T_co]: pass class Iterator(Iterable[T_co], Protocol): def __next__(self) -> T_co: pass class Generator(Iterator[T_co], Generic[T_co, S_contra, R_co]): def __iter__(self) -> Generator[T_co, S_contra, R_co]: pass class Sequence(Iterable[T_co]): def __getitem__(self, n: Any) -> T_co: pass def __len__(self) -> int: pass # Mapping type is oversimplified intentionally. class Mapping(Iterable[T], Generic[T, T_co]): def keys(self) -> Iterable[T]: pass # Approximate return type def __getitem__(self, key: T) -> T_co: pass class Awaitable(Protocol[T_co]): def __await__(self) -> Generator[Any, Any, T_co]: pass class Coroutine(Awaitable[R_co], Generic[T_co, S_contra, R_co]): pass def final(meth: T) -> T: pass def reveal_type(__obj: T) -> T: pass class _SpecialForm: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/typing_extensions.pyi0000644000175100017510000000561615112307767023171 0ustar00runnerrunnerimport typing from typing import Any, Callable, Mapping, Iterable, Iterator, NoReturn as NoReturn, Dict, Tuple, Type, Union from typing import TYPE_CHECKING as TYPE_CHECKING from typing import NewType as NewType, overload as overload import sys _T = typing.TypeVar('_T') class _SpecialForm: def __getitem__(self, typeargs: Any) -> Any: pass def __call__(self, arg: Any) -> Any: pass NamedTuple = 0 Protocol: _SpecialForm = ... def runtime_checkable(x: _T) -> _T: pass runtime = runtime_checkable Final: _SpecialForm = ... def final(x: _T) -> _T: pass Literal: _SpecialForm = ... Annotated: _SpecialForm = ... TypeVar: _SpecialForm ParamSpec: _SpecialForm Concatenate: _SpecialForm TypeAlias: _SpecialForm TypeForm: _SpecialForm TypeGuard: _SpecialForm TypeIs: _SpecialForm Never: _SpecialForm TypeVarTuple: _SpecialForm Unpack: _SpecialForm Required: _SpecialForm NotRequired: _SpecialForm ReadOnly: _SpecialForm Self: _SpecialForm @final class TypeAliasType: def __init__( self, name: str, value: Any, *, type_params: Tuple[Union[TypeVar, ParamSpec, TypeVarTuple], ...] = () ) -> None: ... # Fallback type for all typed dicts (does not exist at runtime). class _TypedDict(Mapping[str, object]): # Needed to make this class non-abstract. It is explicitly declared abstract in # typeshed, but we don't want to import abc here, as it would slow down the tests. def __iter__(self) -> Iterator[str]: ... def copy(self: _T) -> _T: ... # Using NoReturn so that only calls using the plugin hook can go through. def setdefault(self, k: NoReturn, default: object) -> object: ... # Mypy expects that 'default' has a type variable type. def pop(self, k: NoReturn, default: _T = ...) -> object: ... def update(self: _T, __m: _T) -> None: ... def items(self) -> Iterable[Tuple[str, object]]: ... def keys(self) -> Iterable[str]: ... def values(self) -> Iterable[object]: ... if sys.version_info < (3, 0): def has_key(self, k: str) -> bool: ... def __delitem__(self, k: NoReturn) -> None: ... # Stubtest's tests need the following items: __required_keys__: frozenset[str] __optional_keys__: frozenset[str] __readonly_keys__: frozenset[str] __mutable_keys__: frozenset[str] __closed__: bool __extra_items__: Any __total__: bool def TypedDict(typename: str, fields: Dict[str, Type[_T]], *, total: Any = ...) -> Type[dict]: ... def reveal_type(__obj: _T) -> _T: pass def assert_type(__val: _T, __typ: Any) -> _T: pass def dataclass_transform( *, eq_default: bool = ..., order_default: bool = ..., kw_only_default: bool = ..., field_specifiers: tuple[type[Any] | Callable[..., Any], ...] = ..., **kwargs: Any, ) -> Callable[[_T], _T]: ... def override(__arg: _T) -> _T: ... def deprecated(__msg: str) -> Callable[[_T], _T]: ... def disjoint_base(__arg: _T) -> _T: ... _FutureFeatureFixture = 0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/unannotated_lib.pyi0000644000175100017510000000001615112307767022533 0ustar00runnerrunnerdef f(x): ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/lib-stub/weakref.pyi0000644000175100017510000000132715112307767021017 0ustar00runnerrunnerfrom _weakref import proxy from collections.abc import Callable from typing import Any, ClassVar, Generic, TypeVar, final from typing_extensions import Self _C = TypeVar("_C", bound=Callable[..., Any]) _T = TypeVar("_T") class ReferenceType(Generic[_T]): # "weakref" __callback__: Callable[[Self], Any] def __new__(cls, o: _T, callback: Callable[[Self], Any] | None = ..., /) -> Self: ... def __call__(self) -> _T | None: ... ref = ReferenceType @final class CallableProxyType(Generic[_C]): # "weakcallableproxy" def __eq__(self, value: object, /) -> bool: ... def __getattr__(self, attr: str) -> Any: ... __call__: _C __hash__: ClassVar[None] # type: ignore[assignment] __all__ = ["proxy"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/merge.test0000644000175100017510000007470315112307767017137 0ustar00runnerrunner-- Test cases for AST merge (used for fine-grained incremental checking) -- -- Each test case has two versions of the module 'target' (target.py and -- target.py.next). A test cases type checks both of them, merges the ASTs, -- and finally dumps certain parts of the ASTs for both versions (==> -- separates the first and second versions). A test case passes if the -- dumped output is as expected. -- -- The dumped output uses to denote identities of objects. Objects -- suffixed by the same refer to the same object; and (if -- N != M) refer to different objects. The objective of these test cases -- is to verify that identities of publicly visible AST nodes is -- preserved across merge. Other AST nodes may get new identities. -- -- Each test case dumps one of four kinds of information: -- -- 1) ASTs (test case has no magic suffix) -- 2) Symbol tables (_symtable test case name suffix) -- 3) TypeInfos (_typeinfo suffix) -- 4) Inferred types (_types suffix) -- -- If you need to dump multiple different kinds of information, write -- multiple test cases. [case testFunction] import target [file target.py] def f() -> int: pass [file target.py.next] def f() -> int: pass [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py FuncDef:1<2>( f def () -> builtins.int<3> Block:2<4>( PassStmt:2<5>()))) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py FuncDef:1<2>( f def () -> builtins.int<3> Block:2<6>( PassStmt:2<7>()))) [case testClass] import target [file target.py] class A: def f(self, x: str) -> int: pass [file target.py.next] class A: def f(self, x: int) -> str: pass [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<2>( A FuncDef:2<3>( f Args( Var(self) Var(x)) def (self: target.A<4>, x: builtins.str<5>) -> builtins.int<6> Block:3<7>( PassStmt:3<8>())))) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<9>( A FuncDef:2<3>( f Args( Var(self) Var(x)) def (self: target.A<4>, x: builtins.int<6>) -> builtins.str<5> Block:3<10>( PassStmt:3<11>())))) [case testClass_typeinfo] import target [file target.py] class A: def f(self, x: str) -> int: pass def g(self, x: str) -> int: pass [file target.py.next] class A: def f(self, x: int) -> str: pass def h(self, x: int) -> str: pass [out] TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names( f<2> g<3>)) ==> TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names( f<2> h<4>)) [case testConstructInstance] import target [file target.py] class A: def f(self) -> B: return B() class B: pass [file target.py.next] class B: pass class A: def f(self) -> B: 1 return B() [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<2>( A FuncDef:2<3>( f Args( Var(self)) def (self: target.A<4>) -> target.B<5> Block:3<6>( ReturnStmt:3<7>( CallExpr:3<8>( NameExpr(B [target.B<5>]) Args()))))) ClassDef:4<9>( B PassStmt:4<10>())) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<11>( B PassStmt:1<12>()) ClassDef:2<13>( A FuncDef:3<3>( f Args( Var(self)) def (self: target.A<4>) -> target.B<5> Block:4<14>( ExpressionStmt:4<15>( IntExpr(1)) ReturnStmt:5<16>( CallExpr:5<17>( NameExpr(B [target.B<5>]) Args())))))) [case testCallMethod] import target [file target.py] class A: def f(self) -> None: self.f() [file target.py.next] class A: def f(self) -> None: self.f() [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<2>( A FuncDef:2<3>( f Args( Var(self)) def (self: target.A<4>) Block:3<5>( ExpressionStmt:3<6>( CallExpr:3<7>( MemberExpr:3<8>( NameExpr(self [l<9>]) f) Args())))))) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<10>( A FuncDef:2<3>( f Args( Var(self)) def (self: target.A<4>) Block:3<11>( ExpressionStmt:3<12>( CallExpr:3<13>( MemberExpr:3<14>( NameExpr(self [l<15>]) f) Args())))))) [case testClassAttribute] import target [file target.py] class A: def f(self) -> None: self.x = 1 self.x [file target.py.next] class A: def f(self) -> None: self.x = 1 self.x [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<2>( A FuncDef:2<3>( f Args( Var(self)) def (self: target.A<4>) Block:3<5>( AssignmentStmt:3<6>( MemberExpr:3<8>( NameExpr(self [l<9>]) x*<7>) IntExpr(1)) ExpressionStmt:4<10>( MemberExpr:4<11>( NameExpr(self [l<9>]) x)))))) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<12>( A FuncDef:2<3>( f Args( Var(self)) def (self: target.A<4>) Block:3<13>( AssignmentStmt:3<14>( MemberExpr:3<15>( NameExpr(self [l<16>]) x*<7>) IntExpr(1)) ExpressionStmt:4<17>( MemberExpr:4<18>( NameExpr(self [l<16>]) x)))))) [case testClassAttribute_typeinfo] import target [file target.py] class A: def f(self) -> None: self.x = 1 self.x self.y = A() [file target.py.next] class A: def f(self) -> None: self.x = 1 self.x self.y = A() [out] TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names( f<2> x<3> (builtins.int<4>) y<5> (target.A<0>))) ==> TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names( f<2> x<3> (builtins.int<4>) y<5> (target.A<0>))) [case testFunction_symtable] import target [file target.py] def f() -> int: pass [file target.py.next] def f() -> int: pass [out] __main__: target: MypyFile<0> target: f: FuncDef<1> ==> __main__: target: MypyFile<0> target: f: FuncDef<1> [case testClass_symtable] import target [file target.py] class A: pass class B: pass [file target.py.next] class A: pass class C: pass [out] __main__: target: MypyFile<0> target: A: TypeInfo<1> B: TypeInfo<2> ==> __main__: target: MypyFile<0> target: A: TypeInfo<1> C: TypeInfo<3> [case testTopLevelExpression] import target [file target.py] class A: pass A() [file target.py.next] class A: pass class B: pass A() B() [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<2>( A PassStmt:1<3>()) ExpressionStmt:2<4>( CallExpr:2<5>( NameExpr(A [target.A<6>]) Args()))) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ClassDef:1<7>( A PassStmt:1<8>()) ClassDef:2<9>( B PassStmt:2<10>()) ExpressionStmt:3<11>( CallExpr:3<12>( NameExpr(A [target.A<6>]) Args())) ExpressionStmt:4<13>( CallExpr:4<14>( NameExpr(B [target.B<15>]) Args()))) [case testExpression_types] import target [file target.py] class A: pass def f(a: A) -> None: 1 a [file target.py.next] class A: pass def f(a: A) -> None: a 1 [out] ## target IntExpr:3: Literal[1]?<0> NameExpr:4: target.A<1> ==> ## target NameExpr:3: target.A<1> IntExpr:4: Literal[1]?<0> [case testClassAttribute_types] import target [file target.py] class A: def f(self) -> None: self.x = A() self.x self.y = 1 self.y [file target.py.next] class A: def f(self) -> None: self.y = 1 self.y self.x = A() self.x [out] ## target CallExpr:3: target.A<0> MemberExpr:3: target.A<0> NameExpr:3: def () -> target.A<0> NameExpr:3: target.A<0> MemberExpr:4: target.A<0> NameExpr:4: target.A<0> IntExpr:5: Literal[1]?<1> MemberExpr:5: builtins.int<1> NameExpr:5: target.A<0> MemberExpr:6: builtins.int<1> NameExpr:6: target.A<0> ==> ## target IntExpr:3: Literal[1]?<1> MemberExpr:3: builtins.int<1> NameExpr:3: target.A<0> MemberExpr:4: builtins.int<1> NameExpr:4: target.A<0> CallExpr:5: target.A<0> MemberExpr:5: target.A<0> NameExpr:5: def () -> target.A<0> NameExpr:5: target.A<0> MemberExpr:6: target.A<0> NameExpr:6: target.A<0> [case testMethod_types] import target [file target.py] class A: def f(self) -> A: return self.f() [file target.py.next] class A: # Extra line to change line numbers def f(self) -> A: return self.f() [out] ## target CallExpr:3: target.A<0> MemberExpr:3: def () -> target.A<0> NameExpr:3: target.A<0> ==> ## target CallExpr:4: target.A<0> MemberExpr:4: def () -> target.A<0> NameExpr:4: target.A<0> [case testRenameFunction] import target [file target.py] def f() -> int: pass [file target.py.next] def g() -> int: pass [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py FuncDef:1<2>( f def () -> builtins.int<3> Block:1<4>( PassStmt:1<5>()))) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py FuncDef:1<6>( g def () -> builtins.int<3> Block:1<7>( PassStmt:1<8>()))) [case testRenameFunction_symtable] import target [file target.py] def f() -> int: pass [file target.py.next] def g() -> int: pass [out] __main__: target: MypyFile<0> target: f: FuncDef<1> ==> __main__: target: MypyFile<0> target: g: FuncDef<2> [case testMergeWithBaseClass_typeinfo] import target [file target.py] class A: pass class B(A): def f(self) -> None: pass [file target.py.next] class C: pass class A: pass class B(A): def f(self) -> None: pass [out] TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names()) TypeInfo<2>( Name(target.B) Bases(target.A<0>) Mro(target.B<2>, target.A<0>, builtins.object<1>) Names( f<3>)) ==> TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names()) TypeInfo<2>( Name(target.B) Bases(target.A<0>) Mro(target.B<2>, target.A<0>, builtins.object<1>) Names( f<3>)) TypeInfo<4>( Name(target.C) Bases(builtins.object<1>) Mro(target.C<4>, builtins.object<1>) Names()) [case testModuleAttribute] import target [file target.py] x = 1 [file target.py.next] x = 2 [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py AssignmentStmt:1<2>( NameExpr(x [target.x<3>]) IntExpr(1) builtins.int<4>)) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py AssignmentStmt:1<5>( NameExpr(x [target.x<3>]) IntExpr(2) builtins.int<4>)) [case testNestedClassMethod_typeinfo] import target [file target.py] class A: class B: def f(self) -> None: pass [file target.py.next] class A: class B: def f(self) -> None: pass [out] TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names( B<2>)) TypeInfo<2>( Name(target.A.B) Bases(builtins.object<1>) Mro(target.A.B<2>, builtins.object<1>) Names( f<3>)) ==> TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names( B<2>)) TypeInfo<2>( Name(target.A.B) Bases(builtins.object<1>) Mro(target.A.B<2>, builtins.object<1>) Names( f<3>)) [case testNamedTuple_typeinfo] # flags: --python-version 3.10 import target [file target.py] from typing import NamedTuple class A: pass N = NamedTuple('N', [('x', A)]) [file target.py.next] from typing import NamedTuple class A: pass N = NamedTuple('N', [('x', A), ('y', A)]) [builtins fixtures/tuple.pyi] [out] TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names()) TypeInfo<2>( Name(target.N) Bases(builtins.tuple[target.A<0>, ...]<3>) Mro(target.N<2>, builtins.tuple<3>, typing.Sequence<4>, typing.Iterable<5>, builtins.object<1>) Names( _NT<6> __annotations__<7> (builtins.dict[builtins.str<8>, Any]<9>) __doc__<10> (builtins.str<8>) __match_args__<11> (tuple[Literal['x']]) __new__<12> _asdict<13> _field_defaults<14> (builtins.dict[builtins.str<8>, Any]<9>) _field_types<15> (builtins.dict[builtins.str<8>, Any]<9>) _fields<16> (tuple[builtins.str<8>]) _make<17> _replace<18> _source<19> (builtins.str<8>) x<20> (target.A<0>))) ==> TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names()) TypeInfo<2>( Name(target.N) Bases(builtins.tuple[target.A<0>, ...]<3>) Mro(target.N<2>, builtins.tuple<3>, typing.Sequence<4>, typing.Iterable<5>, builtins.object<1>) Names( _NT<6> __annotations__<7> (builtins.dict[builtins.str<8>, Any]<9>) __doc__<10> (builtins.str<8>) __match_args__<11> (tuple[Literal['x'], Literal['y']]) __new__<12> _asdict<13> _field_defaults<14> (builtins.dict[builtins.str<8>, Any]<9>) _field_types<15> (builtins.dict[builtins.str<8>, Any]<9>) _fields<16> (tuple[builtins.str<8>, builtins.str<8>]) _make<17> _replace<18> _source<19> (builtins.str<8>) x<20> (target.A<0>) y<21> (target.A<0>))) [case testNamedTupleOldVersion_typeinfo] import target [file target.py] from typing import NamedTuple class A: pass N = NamedTuple('N', [('x', A)]) [file target.py.next] from typing import NamedTuple class A: pass N = NamedTuple('N', [('x', A), ('y', A)]) [builtins fixtures/tuple.pyi] [out] TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names()) TypeInfo<2>( Name(target.N) Bases(builtins.tuple[target.A<0>, ...]<3>) Mro(target.N<2>, builtins.tuple<3>, typing.Sequence<4>, typing.Iterable<5>, builtins.object<1>) Names( _NT<6> __annotations__<7> (builtins.dict[builtins.str<8>, Any]<9>) __doc__<10> (builtins.str<8>) __new__<11> _asdict<12> _field_defaults<13> (builtins.dict[builtins.str<8>, Any]<9>) _field_types<14> (builtins.dict[builtins.str<8>, Any]<9>) _fields<15> (tuple[builtins.str<8>]) _make<16> _replace<17> _source<18> (builtins.str<8>) x<19> (target.A<0>))) ==> TypeInfo<0>( Name(target.A) Bases(builtins.object<1>) Mro(target.A<0>, builtins.object<1>) Names()) TypeInfo<2>( Name(target.N) Bases(builtins.tuple[target.A<0>, ...]<3>) Mro(target.N<2>, builtins.tuple<3>, typing.Sequence<4>, typing.Iterable<5>, builtins.object<1>) Names( _NT<6> __annotations__<7> (builtins.dict[builtins.str<8>, Any]<9>) __doc__<10> (builtins.str<8>) __new__<11> _asdict<12> _field_defaults<13> (builtins.dict[builtins.str<8>, Any]<9>) _field_types<14> (builtins.dict[builtins.str<8>, Any]<9>) _fields<15> (tuple[builtins.str<8>, builtins.str<8>]) _make<16> _replace<17> _source<18> (builtins.str<8>) x<19> (target.A<0>) y<20> (target.A<0>))) [case testUnionType_types] import target [file target.py] from typing import Union class A: pass a: A [file target.py.next] from typing import Union class A: pass a: Union[A, int] [out] ## target NameExpr:3: target.A<0> ==> ## target NameExpr:3: Union[target.A<0>, builtins.int<1>] [case testTypeType_types] import target [file target.py] from typing import Type class A: pass a: Type[A] [file target.py.next] from typing import Type class A: pass a: Type[A] [out] ## target NameExpr:3: type[target.A<0>] ==> ## target NameExpr:3: type[target.A<0>] [case testTypeVar_types] import target [file target.py] from typing import TypeVar, Generic T = TypeVar('T', bound=int) class A(Generic[T]): x: T [file target.py.next] from typing import TypeVar T = TypeVar('T', bound='A') class A(Generic[T]): x: T [out] ## target CallExpr:2: Any NameExpr:2: Any TypeVarExpr:2: Any NameExpr:4: T`1(upper_bound=builtins.int<0>) ==> ## target CallExpr:2: Any NameExpr:2: Any TypeVarExpr:2: Any NameExpr:4: T`1(upper_bound=target.A[Any]<1>) [case testUnboundType_types] import target [file target.py] from typing import TypeVar, Generic class A: pass foo: int x: foo[A] [file target.py.next] from typing import TypeVar, Generic class A: pass foo: int x: foo[A] [out] tmp/target.py:4: error: Variable "target.foo" is not valid as a type tmp/target.py:4: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases ## target NameExpr:3: builtins.int<0> NameExpr:4: foo?[target.A<1>] ==> ## target NameExpr:3: builtins.int<0> NameExpr:4: foo?[target.A<1>] [case testOverloaded_types] import target [file target.py] from typing import overload class A: pass @overload def f(x: A) -> A: pass @overload def f(x: int) -> int: pass def f(x): pass g = f [file target.py.next] from typing import overload class A: pass @overload def f(x: A) -> A: pass @overload def f(x: str) -> str: pass def f(x): pass g = f [out] -- TODO: It is unclear why this works correctly... ## target NameExpr:11: Overload(def (x: target.A<0>) -> target.A<0>, def (x: builtins.int<1>) -> builtins.int<1>) NameExpr:11: Overload(def (x: target.A<0>) -> target.A<0>, def (x: builtins.int<1>) -> builtins.int<1>) ==> ## target NameExpr:12: Overload(def (x: target.A<0>) -> target.A<0>, def (x: builtins.str<2>) -> builtins.str<2>) NameExpr:12: Overload(def (x: target.A<0>) -> target.A<0>, def (x: builtins.str<2>) -> builtins.str<2>) [case testOverloaded] import target [file target.py] from typing import overload class A: pass @overload def f(x: A) -> A: pass @overload def f(x: int) -> int: pass def f(x): pass [file target.py.next] from typing import overload class A: pass class B: pass @overload def f(x: A) -> B: pass @overload def f(x: str) -> str: pass def f(x): pass [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ImportFrom:1(typing, [overload]) ClassDef:2<2>( A PassStmt:2<3>()) OverloadedFuncDef:4<4>( FuncDef:9<5>( f Args( Var(x)) Block:9<6>( PassStmt:9<7>())) Overload(def (x: target.A<8>) -> target.A<8>, def (x: builtins.int<9>) -> builtins.int<9>) Decorator:4<10>( Var(f) NameExpr(overload [typing.overload<11>]) FuncDef:5<12>( f Args( Var(x)) def (x: target.A<8>) -> target.A<8> Block:5<13>( PassStmt:5<14>()))) Decorator:6<15>( Var(f) NameExpr(overload [typing.overload<11>]) FuncDef:7<16>( f Args( Var(x)) def (x: builtins.int<9>) -> builtins.int<9> Block:7<17>( PassStmt:7<18>()))))) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ImportFrom:1(typing, [overload]) ClassDef:3<19>( A PassStmt:3<20>()) ClassDef:4<21>( B PassStmt:4<22>()) OverloadedFuncDef:6<4>( FuncDef:11<23>( f Args( Var(x)) Block:11<24>( PassStmt:11<25>())) Overload(def (x: target.A<8>) -> target.B<26>, def (x: builtins.str<27>) -> builtins.str<27>) Decorator:6<28>( Var(f) NameExpr(overload [typing.overload<11>]) FuncDef:7<29>( f Args( Var(x)) def (x: target.A<8>) -> target.B<26> Block:7<30>( PassStmt:7<31>()))) Decorator:8<32>( Var(f) NameExpr(overload [typing.overload<11>]) FuncDef:9<33>( f Args( Var(x)) def (x: builtins.str<27>) -> builtins.str<27> Block:9<34>( PassStmt:9<35>()))))) [case testTypeVar_symtable] import target [file target.py] from typing import TypeVar T = TypeVar('T') [file target.py.next] from typing import TypeVar T = TypeVar('T', bound=int) [out] __main__: target: MypyFile<0> target: T: TypeVarExpr<1> TypeVar: Var<2> ==> __main__: target: MypyFile<0> target: T: TypeVarExpr<1> TypeVar: Var<2> [case testTypeAlias_symtable] import target [file target.py] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass X = A[int] [file target.py.next] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass X = A[str] [out] __main__: target: MypyFile<0> target: A: TypeInfo<1> Generic: Var<2> T: TypeVarExpr<3> TypeVar: Var<4> X: TypeAlias<5> ==> __main__: target: MypyFile<0> target: A: TypeInfo<1> Generic: Var<2> T: TypeVarExpr<3> TypeVar: Var<4> X: TypeAlias<5> [case testGenericFunction_types] import target [file target.py] from typing import TypeVar class A: pass T = TypeVar('T', bound=A) def f(x: T) -> T: pass f [file target.py.next] from typing import TypeVar class A: pass T = TypeVar('T', bound=A) def f(x: T, y: A) -> T: pass f [out] ## target CallExpr:3: Any NameExpr:3: Any TypeVarExpr:3: Any NameExpr:5: def [T <: target.A<0>] (x: T`-1(upper_bound=target.A<0>)) -> T`-1(upper_bound=target.A<0>) ==> ## target CallExpr:3: Any NameExpr:3: Any TypeVarExpr:3: Any NameExpr:5: def [T <: target.A<0>] (x: T`-1(upper_bound=target.A<0>), y: target.A<0>) -> T`-1(upper_bound=target.A<0>) [case testMergeOverloaded_types] import target [file target.py] from _x import A a: A [file target.py.next] from _x import A a: A [fixture _x.pyi] from typing import Generic, TypeVar, overload T = TypeVar('T') class C(Generic[T]): @overload def __init__(self) -> None: pass @overload def __init__(self, x: int) -> None: pass A = C[int] [out] ## target NameExpr:2: _x.C[builtins.int<0>]<1> ==> ## target NameExpr:2: _x.C[builtins.int<0>]<1> [case testRefreshVar_symtable] from typing import TypeVar from target import f x = 1 y = '' # type: str [file target.py] f = 1 [file target.py.next] [out] __main__: TypeVar: Var<0> f: Var<1>(builtins.int<2>) x: Var<3>(builtins.int<2>) y: Var<4>(builtins.str<5>) target: f: Var<1>(builtins.int<2>) ==> __main__: TypeVar: Var<0> f: Var<6>(Any) x: Var<3>(builtins.int<2>) y: Var<4>(builtins.str<5>) target: [case testRefreshTypeVar_symtable] from typing import TypeVar from target import f T = TypeVar('T') [file target.py] f = 1 [file target.py.next] [out] __main__: T: TypeVarExpr<0> TypeVar: Var<1> f: Var<2>(builtins.int<3>) target: f: Var<2>(builtins.int<3>) ==> __main__: T: TypeVarExpr<0> TypeVar: Var<1> f: Var<4>(Any) target: [case testRefreshNamedTuple_symtable] from typing import NamedTuple from target import f N = NamedTuple('N', [('x', int)]) [file target.py] f = 1 [file target.py.next] [builtins fixtures/tuple.pyi] [out] __main__: N: TypeInfo<0> NamedTuple: Var<1> f: Var<2>(builtins.int<3>) target: f: Var<2>(builtins.int<3>) ==> __main__: N: TypeInfo<0> NamedTuple: Var<1> f: Var<4>(Any) target: [case testRefreshAttributeDefinedInClassBody_typeinfo] from target import f class A: a = 1 b = '' # type: str [file target.py] f = 1 [file target.py.next] [out] TypeInfo<0>( Name(__main__.A) Bases(builtins.object<1>) Mro(__main__.A<0>, builtins.object<1>) Names( a<2> (builtins.int<3>) b<4> (builtins.str<5>))) ==> TypeInfo<0>( Name(__main__.A) Bases(builtins.object<1>) Mro(__main__.A<0>, builtins.object<1>) Names( a<2> (builtins.int<3>) b<4> (builtins.str<5>))) [case testDecorator_symtable] import target [file target.py] from contextlib import contextmanager from typing import Iterator, List, Tuple @contextmanager def f(x: List[Tuple[int]]) -> Iterator[None]: yield [file target.py.next] from contextlib import contextmanager from typing import Iterator, List, Tuple @contextmanager def f(x: List[Tuple[int]]) -> Iterator[None]: yield [typing fixtures/typing-medium.pyi] [builtins fixtures/list.pyi] [out] __main__: target: MypyFile<0> target: Iterator: TypeInfo<1> List: TypeAlias<2> Tuple: Var<3> contextmanager: FuncDef<4> f: Decorator<5> ==> __main__: target: MypyFile<0> target: Iterator: TypeInfo<1> List: TypeAlias<2> Tuple: Var<3> contextmanager: FuncDef<4> f: Decorator<5> [case testConditionalFunctionDefinition] import target [file target.py] import sys class A: pass class B: pass if sys.platform == 'nonexistent': def f(x: A) -> None: pass else: def f(x: B) -> None: pass [file target.py.next] import sys class A: pass class B: pass if sys.platform == 'nonexistent': def f(x: A, y: int) -> None: pass else: def f(x: B, y: int) -> None: pass [builtins fixtures/ops.pyi] [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py Import:1(sys) ClassDef:2<2>( A PassStmt:2<3>()) ClassDef:3<4>( B PassStmt:3<5>()) IfStmt:4<6>( If( ComparisonExpr:4<7>( == MemberExpr:4<9>( NameExpr(sys<10>) platform [sys.platform<8>]) StrExpr(nonexistent))) Then( FuncDef:5<11>( f Args( Var(x)) def (x: A?) -> None? Block:5<12>( PassStmt:5<13>()))) Else( FuncDef:7<14>( f Args( Var(x)) def (x: target.B<15>) Block:7<16>( PassStmt:7<17>()))))) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py Import:1(sys) ClassDef:2<18>( A PassStmt:2<19>()) ClassDef:3<20>( B PassStmt:3<21>()) IfStmt:4<22>( If( ComparisonExpr:4<23>( == MemberExpr:4<24>( NameExpr(sys<10>) platform [sys.platform<8>]) StrExpr(nonexistent))) Then( FuncDef:5<25>( f Args( Var(x) Var(y)) def (x: A?, y: int?) -> None? Block:5<26>( PassStmt:5<27>()))) Else( FuncDef:7<14>( f Args( Var(x) Var(y)) def (x: target.B<15>, y: builtins.int<28>) Block:7<29>( PassStmt:7<30>()))))) [case testMergeTypedDict_symtable] import target [file target.py] from typing import TypedDict class A: pass D = TypedDict('D', {'a': A}) d: D [file target.py.next] from typing import TypedDict class A: pass D = TypedDict('D', {'a': A, 'b': int}) d: D [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] __main__: target: MypyFile<0> target: A: TypeInfo<1> D: TypeInfo<2> TypedDict: Var<3> d: Var<4>(TypedDict('target.D', {'a': target.A<1>})) ==> __main__: target: MypyFile<0> target: A: TypeInfo<1> D: TypeInfo<2> TypedDict: Var<3> d: Var<4>(TypedDict('target.D', {'a': target.A<1>, 'b': builtins.int<5>})) [case testNewType_symtable] import target [file target.py] from typing import NewType class A: pass B = NewType('B', A) C = NewType('C', A) [file target.py.next] from typing import NewType class A: pass B = NewType('B', A) C = NewType('C', B) D = NewType('D', int) [out] __main__: target: MypyFile<0> target: A: TypeInfo<1> B: TypeInfo<2> C: TypeInfo<3> NewType: Var<4> ==> __main__: target: MypyFile<0> target: A: TypeInfo<1> B: TypeInfo<2> C: TypeInfo<3> D: TypeInfo<5> NewType: Var<4> [case testCallable_symtable-skip] # The TypeInfo is currently not being merged correctly import target [file target.py] def g(o: object) -> None: if callable(o): pass [file target.py.next] def g(o: object) -> None: if callable(o): o() [builtins fixtures/callable.pyi] [out] __main__: target: MypyFile<0> target: : TypeInfo<1> g: FuncDef<2> ==> __main__: target: MypyFile<0> target: : TypeInfo<1> g: FuncDef<2> [case testMetaclass_typeinfo] import target [file target.py] class M(type): pass class C(metaclass=M): pass [file target.py.next] class M(type): pass class C(metaclass=M): pass # dummy change [out] TypeInfo<0>( Name(target.C) Bases(builtins.object<1>) Mro(target.C<0>, builtins.object<1>) Names() DeclaredMetaclass(target.M<2>) MetaclassType(target.M<2>)) TypeInfo<2>( Name(target.M) Bases(builtins.type<3>) Mro(target.M<2>, builtins.type<3>, builtins.object<1>) Names()) ==> TypeInfo<0>( Name(target.C) Bases(builtins.object<1>) Mro(target.C<0>, builtins.object<1>) Names() DeclaredMetaclass(target.M<2>) MetaclassType(target.M<2>)) TypeInfo<2>( Name(target.M) Bases(builtins.type<3>) Mro(target.M<2>, builtins.type<3>, builtins.object<1>) Names()) [case testCast_symtable] import target [file target.py] from typing import cast class Thing: pass thing = cast(Thing, Thing()) [file target.py.next] from typing import cast class Thing: pass thing = cast(Thing, Thing()) [out] __main__: target: MypyFile<0> target: Thing: TypeInfo<1> cast: Var<2> thing: Var<3>(target.Thing<1>) ==> __main__: target: MypyFile<0> target: Thing: TypeInfo<1> cast: Var<2> thing: Var<3>(target.Thing<1>) [case testClassBasedEnum_typeinfo] import target [file target.py] from enum import Enum class A(Enum): X = 0 [file target.py.next] from enum import Enum class A(Enum): X = 0 Y = 1 [builtins fixtures/enum.pyi] [out] TypeInfo<0>( Name(target.A) Bases(enum.Enum<1>) Mro(target.A<0>, enum.Enum<1>, builtins.object<2>) Names( X<3> (Literal[0]?<4>)) MetaclassType(enum.EnumMeta<5>)) ==> TypeInfo<0>( Name(target.A) Bases(enum.Enum<1>) Mro(target.A<0>, enum.Enum<1>, builtins.object<2>) Names( X<3> (Literal[0]?<4>) Y<6> (Literal[1]?<4>)) MetaclassType(enum.EnumMeta<5>)) [case testLiteralMerge] import target [file target.py] from typing import Literal def foo(x: Literal[3]) -> Literal['a']: pass bar: Literal[4] = 4 [file target.py.next] from typing import Literal def foo(x: Literal['3']) -> Literal['b']: pass bar: Literal[5] = 5 [builtins fixtures/tuple.pyi] [out] MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ImportFrom:1(typing, [Literal]) FuncDef:2<2>( foo Args( Var(x)) def (x: Literal[3]) -> Literal['a'] Block:2<3>( PassStmt:2<4>())) AssignmentStmt:3<5>( NameExpr(bar [target.bar<6>]) IntExpr(4) Literal[4])) ==> MypyFile:1<0>( tmp/main Import:1(target)) MypyFile:1<1>( tmp/target.py ImportFrom:1(typing, [Literal]) FuncDef:2<2>( foo Args( Var(x)) def (x: Literal['3']) -> Literal['b'] Block:2<7>( PassStmt:2<8>())) AssignmentStmt:3<9>( NameExpr(bar [target.bar<6>]) IntExpr(5) Literal[5])) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/outputjson.test0000644000175100017510000000255115112307767020262 0ustar00runnerrunner-- Test cases for `--output=json`. -- These cannot be run by the usual unit test runner because of the backslashes -- in the output, which get normalized to forward slashes by the test suite on -- Windows. [case testOutputJsonNoIssues] # flags: --output=json def foo() -> None: pass foo() [out] [case testOutputJsonSimple] # flags: --output=json def foo() -> None: pass foo(1) [out] {"file": "main", "line": 5, "column": 0, "message": "Too many arguments for \"foo\"", "hint": null, "code": "call-arg", "severity": "error"} [case testOutputJsonWithHint] # flags: --output=json from typing import Optional, overload @overload def foo() -> None: ... @overload def foo(x: int) -> None: ... def foo(x: Optional[int] = None) -> None: ... reveal_type(foo) foo('42') def bar() -> None: ... bar('42') [out] {"file": "main", "line": 12, "column": 12, "message": "Revealed type is \"Overload(def (), def (x: builtins.int))\"", "hint": null, "code": "misc", "severity": "note"} {"file": "main", "line": 14, "column": 0, "message": "No overload variant of \"foo\" matches argument type \"str\"", "hint": "Possible overload variants:\n def foo() -> None\n def foo(x: int) -> None", "code": "call-overload", "severity": "error"} {"file": "main", "line": 17, "column": 0, "message": "Too many arguments for \"bar\"", "hint": null, "code": "call-arg", "severity": "error"} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/parse-errors.test0000644000175100017510000002143115112307767020452 0ustar00runnerrunner-- Test cases for parser errors. Each test case consists of two sections. -- The first section contains [case NAME] followed by the input code, while -- the second section contains [out] followed by the output from the parser. -- -- The input file name in errors is "file". -- -- Comments starting with "--" in this file will be ignored, except for lines -- starting with "----" that are not ignored. The first two dashes of these -- lines are interpreted as escapes and removed. [case testInvalidFunction] def f() pass [out] file:1: error: Invalid syntax [case testUnexpectedIndent] 1 2 [out] file:2: error: Unexpected indent [case testInconsistentIndent] if x: 1 1 [out] file:3: error: Unexpected indent [case testInconsistentIndent2] if x: 1 1 [out] file:3: error: Unindent does not match any outer indentation level [case testInvalidBinaryOp] 1> a* a+1* [out] file:1: error: Invalid syntax [case testDoubleStar] **a [out] file:1: error: Invalid syntax [case testMissingSuperClass] class A(: pass [out] file:1: error: Invalid syntax [case testUnexpectedEof] if 1: [out] file:1: error: Expected an indented block [case testInvalidKeywordArguments1] f(x=y, z) [out] file:1: error: Positional argument follows keyword argument [case testInvalidKeywordArguments2] f(**x, y) [out] file:1: error: Positional argument follows keyword argument unpacking [case testInvalidBareAsteriskAndVarArgs2] def f(*x: A, *) -> None: pass [out] file:1: error: Invalid syntax [case testInvalidBareAsteriskAndVarArgs3] def f(*, *x: A) -> None: pass [out] file:1: error: Invalid syntax [case testInvalidBareAsteriskAndVarArgs4] def f(*, **x: A) -> None: pass [out] file:1: error: Named arguments must follow bare * [case testInvalidBareAsterisk1] def f(*) -> None: pass [out] file:1: error: Named arguments must follow bare * [case testInvalidBareAsterisk2] def f(x, *) -> None: pass [out] file:1: error: Named arguments must follow bare * [case testInvalidFuncDefArgs1] def f(x = y, x): pass [out] file:1: error: Non-default argument follows default argument [case testInvalidFuncDefArgs3] def f(**x, y): pass [out] file:1: error: Invalid syntax [case testInvalidFuncDefArgs4] def f(**x, y=x): pass [out] file:1: error: Invalid syntax [case testInvalidTypeComment] 0 x = 0 # type: A A [out] file:2: error: Syntax error in type comment "A A" [case testInvalidTypeComment2] 0 x = 0 # type: A[ [out] file:2: error: Syntax error in type comment "A[" [case testInvalidTypeComment3] 0 x = 0 # type: [out] file:2: error: Syntax error in type comment "" [case testInvalidTypeComment4] 0 x = 0 # type: * [out] file:2: error: Syntax error in type comment "*" [case testInvalidTypeComment5] 0 x = 0 # type:# some comment [out] file:2: error: Syntax error in type comment "" [case testInvalidTypeComment6] 0 x = 0 # type: *# comment #6 [out] file:2: error: Syntax error in type comment "*" [case testInvalidTypeComment7] 0 x = 0 # type: A B #comment #7 [out] file:2: error: Syntax error in type comment "A B" [case testMissingBracket] def foo( [out] file:1: error: Unexpected EOF while parsing [out version>=3.10] file:1: error: '(' was never closed [case testInvalidSignatureInComment1] def f(): # type: x pass [out] file:1: error: Syntax error in type comment "x" file:1: note: Suggestion: wrap argument types in parentheses [case testInvalidSignatureInComment2] def f(): # type: pass [out] file:1: error: Syntax error in type comment "" [case testInvalidSignatureInComment3] def f(): # type: ( pass [out] file:1: error: Syntax error in type comment "(" [case testInvalidSignatureInComment4] def f(): # type: (. pass [out] file:1: error: Syntax error in type comment "(." [case testInvalidSignatureInComment5] def f(): # type: (x pass [out] file:1: error: Syntax error in type comment "(x" [case testInvalidSignatureInComment6] def f(): # type: (x) pass [out] file:1: error: Syntax error in type comment "(x)" [case testInvalidSignatureInComment7] def f(): # type: (x) - pass [out] file:1: error: Syntax error in type comment "(x) -" [case testInvalidSignatureInComment8] def f(): # type: (x) -> pass [out] file:1: error: Syntax error in type comment "(x) ->" [case testInvalidSignatureInComment9] def f(): # type: (x) -> . pass [out] file:1: error: Syntax error in type comment "(x) -> ." [case testInvalidSignatureInComment10] def f(): # type: (x) -> x x pass [out] file:1: error: Syntax error in type comment "(x) -> x x" [case testInvalidSignatureInComment11] def f(): # type: # abc comment pass [out] file:1: error: Syntax error in type comment "" [case testInvalidSignatureInComment12] def f(): # type: (x) -> x x # comment #2 pass [out] file:1: error: Syntax error in type comment "(x) -> x x" [case testDuplicateSignatures1] def f() -> None: # type: () -> None pass def f(): # type: () -> None pass [out] file:1: error: Function has duplicate type signatures [case testDuplicateSignatures2] def f(x, y: Z): # type: (x, y) -> z pass [out] file:1: error: Function has duplicate type signatures [case testTooManyTypes] def f(x, y): # type: (X, Y, Z) -> z pass [out] file:1: error: Type signature has too many arguments [case testTooFewTypes] def f(x, y): # type: (X) -> z pass [out] file:1: error: Type signature has too few arguments [case testCommentFunctionAnnotationVarArgMispatch-skip] # see mypy issue #1997 def f(x): # type: (*X) -> Y pass def g(*x): # type: (X) -> Y pass [out] file:1: error: Inconsistent use of "*" in function signature file:3: error: Inconsistent use of "*" in function signature [case testCommentFunctionAnnotationVarArgMispatch2-skip] # see mypy issue #1997 def f(*x, **y): # type: (**X, *Y) -> Z pass def g(*x, **y): # type: (*X, *Y) -> Z pass [out] file:1: error: Inconsistent use of "*" in function signature file:3: error: Syntax error in type comment file:3: error: Inconsistent use of "*" in function signature file:3: error: Inconsistent use of "**" in function signature [case testPrintStatementInPython3] print 1 [out] file:1: error: Missing parentheses in call to 'print'. Did you mean print(1)? [case testInvalidConditionInConditionalExpression] 1 if 2, 3 else 4 [out] file:1: error: Invalid syntax [case testInvalidConditionInConditionalExpression2] 1 if x for y in z else 4 [out] file:1: error: Invalid syntax [case testInvalidConditionInConditionalExpression3] 1 if x else for y in z [out] file:1: error: Invalid syntax [case testYieldFromNotRightParameter] def f(): yield from [out] file:2: error: Invalid syntax [case testYieldFromAfterReturn] def f(): return yield from h() [out] file:2: error: Invalid syntax [case testImportDotModule] import .x [out] file:1: error: Invalid syntax [case testImportDot] import . [out] file:1: error: Invalid syntax [case testInvalidFunctionName] def while(): pass [out] file:1: error: Invalid syntax [case testInvalidEllipsis1] ...0 ..._ ...a [out] file:1: error: Invalid syntax [case testBlockStatementInSingleLineIf] if 1: if 2: pass [out] file:1: error: Invalid syntax [case testBlockStatementInSingleLineIf2] if 1: while 2: pass [out] file:1: error: Invalid syntax [case testBlockStatementInSingleLineIf3] if 1: for x in y: pass [out] file:1: error: Invalid syntax [case testUnexpectedEllipsis] a = a... [out] file:1: error: Invalid syntax [case testParseErrorBeforeUnicodeLiteral] x u'y' [out] file:1: error: Invalid syntax [case testParseErrorInExtendedSlicing] x[:, [out] file:1: error: Unexpected EOF while parsing [case testParseErrorInExtendedSlicing2] x[:,:: [out] file:1: error: Unexpected EOF while parsing [case testParseErrorInExtendedSlicing3] x[:,: [out] file:1: error: Unexpected EOF while parsing [case testInvalidEncoding] # foo # coding: uft-8 [out] file:0: error: Unknown encoding: uft-8 [case testInvalidEncoding2] # coding=Uft.8 [out] file:0: error: Unknown encoding: Uft.8 [case testInvalidEncoding3] #!/usr/bin python # vim: set fileencoding=uft8 : [out] file:0: error: Unknown encoding: uft8 [case testDoubleEncoding] # coding: uft8 # coding: utf8 # The first coding cookie should be used and fail. [out] file:0: error: Unknown encoding: uft8 [case testDoubleEncoding2] # Again the first cookie should be used and fail. # coding: uft8 # coding: utf8 [out] file:0: error: Unknown encoding: uft8 [case testLongLiteralInPython3] 2L 0x2L [out] file:1: error: Invalid syntax [case testPython2LegacyInequalityInPython3] 1 <> 2 [out] file:1: error: Invalid syntax [case testLambdaInListComprehensionInPython3] ([ 0 for x in 1, 2 if 3 ]) [out] file:1: error: Invalid syntax [case testTupleArgListInPython3] def f(x, (y, z)): pass [out] file:1: error: Invalid syntax [case testBackquoteInPython3] `1 + 2` [out] file:1: error: Invalid syntax [case testSmartQuotes] foo = ‘bar’ [out] file:1: error: Invalid character '‘' (U+2018) [case testExceptCommaInPython3] try: pass except KeyError, IndexError: pass [out] file:3: error: Invalid syntax ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/parse-python310.test0000644000175100017510000002473215112307767020712 0ustar00runnerrunner-- Test cases for parser -- Python 3.10 syntax (match statement) -- -- See parse.test for a description of this file format. [case testSimpleMatch] match a: case 1: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( ValuePattern:2( IntExpr(1))) Body( PassStmt:3()))) [case testTupleMatch] match a, b: case 1: pass [out] MypyFile:1( MatchStmt:1( TupleExpr:1( NameExpr(a) NameExpr(b)) Pattern( ValuePattern:2( IntExpr(1))) Body( PassStmt:3()))) [case testMatchWithGuard] match a: case 1 if f(): pass case d if d > 5: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( ValuePattern:2( IntExpr(1))) Guard( CallExpr:2( NameExpr(f) Args())) Body( PassStmt:3()) Pattern( AsPattern:4( NameExpr(d))) Guard( ComparisonExpr:4( > NameExpr(d) IntExpr(5))) Body( PassStmt:5()))) [case testAsPattern] match a: case 1 as b: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( AsPattern:2( ValuePattern:2( IntExpr(1)) NameExpr(b))) Body( PassStmt:3()))) [case testLiteralPattern] match a: case 1: pass case -1: pass case 1+2j: pass case -1+2j: pass case 1-2j: pass case -1-2j: pass case "str": pass case b"bytes": pass case r"raw_string": pass case None: pass case True: pass case False: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( ValuePattern:2( IntExpr(1))) Body( PassStmt:3()) Pattern( ValuePattern:4( UnaryExpr:4( - IntExpr(1)))) Body( PassStmt:5()) Pattern( ValuePattern:6( OpExpr:6( + IntExpr(1) ComplexExpr(2j)))) Body( PassStmt:7()) Pattern( ValuePattern:8( OpExpr:8( + UnaryExpr:8( - IntExpr(1)) ComplexExpr(2j)))) Body( PassStmt:9()) Pattern( ValuePattern:10( OpExpr:10( - IntExpr(1) ComplexExpr(2j)))) Body( PassStmt:11()) Pattern( ValuePattern:12( OpExpr:12( - UnaryExpr:12( - IntExpr(1)) ComplexExpr(2j)))) Body( PassStmt:13()) Pattern( ValuePattern:14( StrExpr(str))) Body( PassStmt:15()) Pattern( ValuePattern:16( BytesExpr(bytes))) Body( PassStmt:17()) Pattern( ValuePattern:18( StrExpr(raw_string))) Body( PassStmt:19()) Pattern( SingletonPattern:20()) Body( PassStmt:21()) Pattern( SingletonPattern:22( True)) Body( PassStmt:23()) Pattern( SingletonPattern:24( False)) Body( PassStmt:25()))) [case testCapturePattern] match a: case x: pass case longName: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( AsPattern:2( NameExpr(x))) Body( PassStmt:3()) Pattern( AsPattern:4( NameExpr(longName))) Body( PassStmt:5()))) [case testWildcardPattern] match a: case _: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( AsPattern:2()) Body( PassStmt:3()))) [case testValuePattern] match a: case b.c: pass case b.c.d.e.f: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( ValuePattern:2( MemberExpr:2( NameExpr(b) c))) Body( PassStmt:3()) Pattern( ValuePattern:4( MemberExpr:4( MemberExpr:4( MemberExpr:4( MemberExpr:4( NameExpr(b) c) d) e) f))) Body( PassStmt:5()))) [case testGroupPattern] # This is optimized out by the compiler. It doesn't appear in the ast match a: case (1): pass [out] MypyFile:1( MatchStmt:2( NameExpr(a) Pattern( ValuePattern:3( IntExpr(1))) Body( PassStmt:4()))) [case testSequencePattern] match a: case []: pass case (): pass case [1]: pass case (1,): pass case 1,: pass case [1, 2, 3]: pass case (1, 2, 3): pass case 1, 2, 3: pass case [1, *a, 2]: pass case (1, *a, 2): pass case 1, *a, 2: pass case [1, *_, 2]: pass case (1, *_, 2): pass case 1, *_, 2: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( SequencePattern:2()) Body( PassStmt:3()) Pattern( SequencePattern:4()) Body( PassStmt:5()) Pattern( SequencePattern:6( ValuePattern:6( IntExpr(1)))) Body( PassStmt:7()) Pattern( SequencePattern:8( ValuePattern:8( IntExpr(1)))) Body( PassStmt:9()) Pattern( SequencePattern:10( ValuePattern:10( IntExpr(1)))) Body( PassStmt:11()) Pattern( SequencePattern:12( ValuePattern:12( IntExpr(1)) ValuePattern:12( IntExpr(2)) ValuePattern:12( IntExpr(3)))) Body( PassStmt:13()) Pattern( SequencePattern:14( ValuePattern:14( IntExpr(1)) ValuePattern:14( IntExpr(2)) ValuePattern:14( IntExpr(3)))) Body( PassStmt:15()) Pattern( SequencePattern:16( ValuePattern:16( IntExpr(1)) ValuePattern:16( IntExpr(2)) ValuePattern:16( IntExpr(3)))) Body( PassStmt:17()) Pattern( SequencePattern:18( ValuePattern:18( IntExpr(1)) StarredPattern:18( NameExpr(a)) ValuePattern:18( IntExpr(2)))) Body( PassStmt:19()) Pattern( SequencePattern:20( ValuePattern:20( IntExpr(1)) StarredPattern:20( NameExpr(a)) ValuePattern:20( IntExpr(2)))) Body( PassStmt:21()) Pattern( SequencePattern:22( ValuePattern:22( IntExpr(1)) StarredPattern:22( NameExpr(a)) ValuePattern:22( IntExpr(2)))) Body( PassStmt:23()) Pattern( SequencePattern:24( ValuePattern:24( IntExpr(1)) StarredPattern:24() ValuePattern:24( IntExpr(2)))) Body( PassStmt:25()) Pattern( SequencePattern:26( ValuePattern:26( IntExpr(1)) StarredPattern:26() ValuePattern:26( IntExpr(2)))) Body( PassStmt:27()) Pattern( SequencePattern:28( ValuePattern:28( IntExpr(1)) StarredPattern:28() ValuePattern:28( IntExpr(2)))) Body( PassStmt:29()))) [case testMappingPattern] match a: case {'k': v}: pass case {a.b: v}: pass case {1: v}: pass case {a.c: v}: pass case {'k': v1, a.b: v2, 1: v3, a.c: v4}: pass case {'k1': 1, 'k2': "str", 'k3': b'bytes', 'k4': None}: pass case {'k': v, **r}: pass case {**r}: pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( MappingPattern:2( Key( StrExpr(k)) Value( AsPattern:2( NameExpr(v))))) Body( PassStmt:3()) Pattern( MappingPattern:4( Key( MemberExpr:4( NameExpr(a) b)) Value( AsPattern:4( NameExpr(v))))) Body( PassStmt:5()) Pattern( MappingPattern:6( Key( IntExpr(1)) Value( AsPattern:6( NameExpr(v))))) Body( PassStmt:7()) Pattern( MappingPattern:8( Key( MemberExpr:8( NameExpr(a) c)) Value( AsPattern:8( NameExpr(v))))) Body( PassStmt:9()) Pattern( MappingPattern:10( Key( StrExpr(k)) Value( AsPattern:10( NameExpr(v1))) Key( MemberExpr:10( NameExpr(a) b)) Value( AsPattern:10( NameExpr(v2))) Key( IntExpr(1)) Value( AsPattern:10( NameExpr(v3))) Key( MemberExpr:10( NameExpr(a) c)) Value( AsPattern:10( NameExpr(v4))))) Body( PassStmt:11()) Pattern( MappingPattern:12( Key( StrExpr(k1)) Value( ValuePattern:12( IntExpr(1))) Key( StrExpr(k2)) Value( ValuePattern:12( StrExpr(str))) Key( StrExpr(k3)) Value( ValuePattern:12( BytesExpr(bytes))) Key( StrExpr(k4)) Value( SingletonPattern:12()))) Body( PassStmt:13()) Pattern( MappingPattern:14( Key( StrExpr(k)) Value( AsPattern:14( NameExpr(v))) Rest( NameExpr(r)))) Body( PassStmt:15()) Pattern( MappingPattern:16( Rest( NameExpr(r)))) Body( PassStmt:17()))) [case testClassPattern] match a: case A(): pass case B(1, 2): pass case B(1, b=2): pass case B(a=1, b=2): pass [out] MypyFile:1( MatchStmt:1( NameExpr(a) Pattern( ClassPattern:2( NameExpr(A))) Body( PassStmt:3()) Pattern( ClassPattern:4( NameExpr(B) Positionals( ValuePattern:4( IntExpr(1)) ValuePattern:4( IntExpr(2))))) Body( PassStmt:5()) Pattern( ClassPattern:6( NameExpr(B) Positionals( ValuePattern:6( IntExpr(1))) Keyword( b ValuePattern:6( IntExpr(2))))) Body( PassStmt:7()) Pattern( ClassPattern:8( NameExpr(B) Keyword( a ValuePattern:8( IntExpr(1))) Keyword( b ValuePattern:8( IntExpr(2))))) Body( PassStmt:9()))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/parse-python312.test0000644000175100017510000000233615112307767020710 0ustar00runnerrunner[case testPEP695TypeAlias] # comment type A[T] = C[T] [out] MypyFile:1( TypeAliasStmt:2( NameExpr(A) TypeParam( T) LambdaExpr:2( Block:-1( ReturnStmt:2( IndexExpr:2( NameExpr(C) NameExpr(T))))))) [case testPEP695GenericFunction] # comment def f[T](): pass def g[T: str](): pass def h[T: (int, str)](): pass [out] MypyFile:1( FuncDef:3( f TypeParam( T) Block:3( PassStmt:3())) FuncDef:4( g TypeParam( T str?) Block:4( PassStmt:4())) FuncDef:5( h TypeParam( T Values( int? str?)) Block:5( PassStmt:5()))) [case testPEP695ParamSpec] # comment def f[**P](): pass class C[T: int, **P]: pass [out] MypyFile:1( FuncDef:3( f TypeParam( **P) Block:3( PassStmt:3())) ClassDef:4( C TypeParam( T int?) TypeParam( **P) PassStmt:4())) [case testPEP695TypeVarTuple] # comment def f[*Ts](): pass class C[T: int, *Ts]: pass [out] MypyFile:1( FuncDef:3( f TypeParam( *Ts) Block:3( PassStmt:3())) ClassDef:4( C TypeParam( T int?) TypeParam( *Ts) PassStmt:4())) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/parse-python313.test0000644000175100017510000000243415112307767020710 0ustar00runnerrunner[case testPEP696TypeAlias] type A[T = int] = C[T] [out] MypyFile:1( TypeAliasStmt:1( NameExpr(A) TypeParam( T Default( int?)) LambdaExpr:1( Block:-1( ReturnStmt:1( IndexExpr:1( NameExpr(C) NameExpr(T))))))) [case testPEP696GenericFunction] def f[T = int](): pass class C[T = int]: pass [out] MypyFile:1( FuncDef:1( f TypeParam( T Default( int?)) Block:1( PassStmt:1())) ClassDef:2( C TypeParam( T Default( int?)) PassStmt:2())) [case testPEP696ParamSpec] def f[**P = [int, str]](): pass class C[**P = [int, str]]: pass [out] [out] MypyFile:1( FuncDef:1( f TypeParam( **P Default( )) Block:1( PassStmt:1())) ClassDef:2( C TypeParam( **P Default( )) PassStmt:2())) [case testPEP696TypeVarTuple] def f[*Ts = *tuple[str, int]](): pass class C[*Ts = *tuple[str, int]]: pass [out] MypyFile:1( FuncDef:1( f TypeParam( *Ts Default( Unpack[tuple?[str?, int?]])) Block:1( PassStmt:1())) ClassDef:2( C TypeParam( *Ts Default( Unpack[tuple?[str?, int?]])) PassStmt:2())) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/parse-python314.test0000644000175100017510000000016615112307767020711 0ustar00runnerrunner[case testTemplateString] x = 'mypy' t'Hello {x}' [out] main:2: error: PEP 750 template strings are not yet supported ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/parse.test0000644000175100017510000017376515112307767017162 0ustar00runnerrunner-- Test cases for parser. Each test case consists of two sections. -- The first section contains [case NAME] followed by the input code, while -- the second section contains [out] followed by the output from the parser. -- -- Lines starting with "--" in this file will be ignored, except for lines -- starting with "----" that are not ignored. The first two dashes of these -- lines are interpreted as escapes and removed. [case testEmptyFile] [out] MypyFile:1() [case testExpressionStatement] 1 [out] MypyFile:1( ExpressionStmt:1( IntExpr(1))) [case testAssignment] x = 1 [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) IntExpr(1))) [case testExpressionBasics] x = f(1, None) 123 * (2 + x) "hello".lower() -1.23 [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) CallExpr:1( NameExpr(f) Args( IntExpr(1) NameExpr(None)))) ExpressionStmt:2( OpExpr:2( * IntExpr(123) OpExpr:2( + IntExpr(2) NameExpr(x)))) ExpressionStmt:3( CallExpr:3( MemberExpr:3( StrExpr(hello) lower) Args())) ExpressionStmt:4( UnaryExpr:4( - FloatExpr(1.23)))) [case testSingleQuotedStr] '' 'foo' 'foo\ bar' [out] MypyFile:1( ExpressionStmt:1( StrExpr()) ExpressionStmt:2( StrExpr(foo)) ExpressionStmt:3( StrExpr(foobar))) [case testDoubleQuotedStr] "" "foo" "foo\ bar" [out] MypyFile:1( ExpressionStmt:1( StrExpr()) ExpressionStmt:2( StrExpr(foo)) ExpressionStmt:3( StrExpr(foobar))) [case testRawStr] r'x\n\'' r"x\n\"" [out] MypyFile:1( ExpressionStmt:1( StrExpr(x\n\')) ExpressionStmt:2( StrExpr(x\n\"))) [case testBytes] b'foo' b"foo\ bar" br'x\n\'' [out] MypyFile:1( ExpressionStmt:1( BytesExpr(foo)) ExpressionStmt:2( BytesExpr(foobar)) ExpressionStmt:3( BytesExpr(x\\n\\'))) [case testEscapesInStrings] '\r\n\t\x2f\u123f' b'\r\n\t\x2f\u123f' [out] MypyFile:1( ExpressionStmt:1( StrExpr(\u000d\u000a\u0009/\u123f)) ExpressionStmt:2( BytesExpr(\r\n\t/\\\u123f))) -- Note \\u in the b'...' case (\u sequence not translated) [case testEscapedQuote] '\'' [out] MypyFile:1( ExpressionStmt:1( StrExpr('))) [case testOctalEscapes] '\0\1\177\1234' b'\1\476' [out] MypyFile:1( ExpressionStmt:1( StrExpr(\u0000\u0001\u007fS4)) ExpressionStmt:2( BytesExpr(\x01>))) [case testUnicodeLiteralInPython3] u'foo' [out] MypyFile:1( ExpressionStmt:1( StrExpr(foo))) [case testArrays] a = [] a = [1, 2] a[[1]] = a[2] [out] MypyFile:1( AssignmentStmt:1( NameExpr(a) ListExpr:1()) AssignmentStmt:2( NameExpr(a) ListExpr:2( IntExpr(1) IntExpr(2))) AssignmentStmt:3( IndexExpr:3( NameExpr(a) ListExpr:3( IntExpr(1))) IndexExpr:3( NameExpr(a) IntExpr(2)))) [case testTuples] () (1,) (1, foo) a, b = 1, (2, 3) [out] MypyFile:1( ExpressionStmt:1( TupleExpr:1()) ExpressionStmt:2( TupleExpr:2( IntExpr(1))) ExpressionStmt:3( TupleExpr:3( IntExpr(1) NameExpr(foo))) AssignmentStmt:4( TupleExpr:4( NameExpr(a) NameExpr(b)) TupleExpr:4( IntExpr(1) TupleExpr:4( IntExpr(2) IntExpr(3))))) [case testSimpleFunction] def main(): 1 [out] MypyFile:1( FuncDef:1( main Block:2( ExpressionStmt:2( IntExpr(1))))) [case testPass] def f(): pass [out] MypyFile:1( FuncDef:1( f Block:2( PassStmt:2()))) [case testIf] if 1: 2 [out] MypyFile:1( IfStmt:1( If( IntExpr(1)) Then( ExpressionStmt:2( IntExpr(2))))) [case testIfElse] if 1: 2 else: 3 [out] MypyFile:1( IfStmt:1( If( IntExpr(1)) Then( ExpressionStmt:2( IntExpr(2))) Else( ExpressionStmt:4( IntExpr(3))))) [case testIfElif] if 1: 2 elif 3: 4 elif 5: 6 else: 7 [out] MypyFile:1( IfStmt:1( If( IntExpr(1)) Then( ExpressionStmt:2( IntExpr(2))) Else( IfStmt:3( If( IntExpr(3)) Then( ExpressionStmt:4( IntExpr(4))) Else( IfStmt:5( If( IntExpr(5)) Then( ExpressionStmt:6( IntExpr(6))) Else( ExpressionStmt:8( IntExpr(7))))))))) [case testWhile] while 1: pass [out] MypyFile:1( WhileStmt:1( IntExpr(1) Block:2( PassStmt:2()))) [case testReturn] def f(): return 1 [out] MypyFile:1( FuncDef:1( f Block:2( ReturnStmt:2( IntExpr(1))))) [case testReturnWithoutValue] def f(): return [out] MypyFile:1( FuncDef:1( f Block:2( ReturnStmt:2()))) [case testBreak] while 1: break [out] MypyFile:1( WhileStmt:1( IntExpr(1) Block:2( BreakStmt:2()))) [case testLargeBlock] if 1: x = 1 while 2: pass y = 2 [out] MypyFile:1( IfStmt:1( If( IntExpr(1)) Then( AssignmentStmt:2( NameExpr(x) IntExpr(1)) WhileStmt:3( IntExpr(2) Block:4( PassStmt:4())) AssignmentStmt:5( NameExpr(y) IntExpr(2))))) [case testSimpleClass] class A: def f(self): pass [out] MypyFile:1( ClassDef:1( A FuncDef:2( f Args( Var(self)) Block:3( PassStmt:3())))) [case testGlobalVarWithType] x = 0 # type: int y = False # type: bool [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) IntExpr(0) int?) AssignmentStmt:2( NameExpr(y) NameExpr(False) bool?)) [case testLocalVarWithType] def f(): x = 0 # type: int y = False # type: bool a = None # type: Any [out] MypyFile:1( FuncDef:1( f Block:2( AssignmentStmt:2( NameExpr(x) IntExpr(0) int?) AssignmentStmt:3( NameExpr(y) NameExpr(False) bool?) AssignmentStmt:4( NameExpr(a) NameExpr(None) Any?)))) [case testFunctionDefWithType] def f(y: str) -> int: return class A: def f(self, a: int, b: Any) -> x: pass def g(self) -> Any: pass [out] MypyFile:1( FuncDef:1( f Args( Var(y)) def (y: str?) -> int? Block:2( ReturnStmt:2())) ClassDef:3( A FuncDef:4( f Args( Var(self) Var(a) Var(b)) def (self: Any, a: int?, b: Any?) -> x? Block:5( PassStmt:5())) FuncDef:6( g Args( Var(self)) def (self: Any) -> Any? Block:7( PassStmt:7())))) [case testFuncWithNoneReturn] def f() -> None: pass [out] MypyFile:1( FuncDef:1( f def () -> None? Block:2( PassStmt:2()))) [case testVarDefWithGenericType] x = None # type: List[str] y = None # type: Dict[int, Any] [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) NameExpr(None) List?[str?]) AssignmentStmt:2( NameExpr(y) NameExpr(None) Dict?[int?, Any?])) [case testSignatureWithGenericTypes] def f(y: t[Any, x]) -> a[b[c], d]: pass [out] MypyFile:1( FuncDef:1( f Args( Var(y)) def (y: t?[Any?, x?]) -> a?[b?[c?], d?] Block:2( PassStmt:2()))) [case testParsingExpressionsWithLessAndGreaterThan] # The operators < > can sometimes be confused with generic types. x = a < b > c f(x < b, y > c) a < b > 1 x < b, y > 2 (a < b > c) [out] MypyFile:1( AssignmentStmt:2( NameExpr(x) ComparisonExpr:2( < > NameExpr(a) NameExpr(b) NameExpr(c))) ExpressionStmt:3( CallExpr:3( NameExpr(f) Args( ComparisonExpr:3( < NameExpr(x) NameExpr(b)) ComparisonExpr:3( > NameExpr(y) NameExpr(c))))) ExpressionStmt:4( ComparisonExpr:4( < > NameExpr(a) NameExpr(b) IntExpr(1))) ExpressionStmt:5( TupleExpr:5( ComparisonExpr:5( < NameExpr(x) NameExpr(b)) ComparisonExpr:5( > NameExpr(y) IntExpr(2)))) ExpressionStmt:6( ComparisonExpr:6( < > NameExpr(a) NameExpr(b) NameExpr(c)))) [case testLineContinuation] if (1 + 2): pass [out] MypyFile:1( IfStmt:1( If( OpExpr:1( + IntExpr(1) IntExpr(2))) Then( PassStmt:3()))) [case testMultipleVarDef] x, y = z # type: int, a[c] [out] MypyFile:1( AssignmentStmt:1( TupleExpr:1( NameExpr(x) NameExpr(y)) NameExpr(z) tuple[int?, a?[c?]])) [case testMultipleVarDef2] (xx, z, i) = 1 # type: (a[c], Any, int) [out] MypyFile:1( AssignmentStmt:1( TupleExpr:1( NameExpr(xx) NameExpr(z) NameExpr(i)) IntExpr(1) tuple[a?[c?], Any?, int?])) [case testMultipleVarDef3] (xx, (z, i)) = 1 # type: (a[c], (Any, int)) [out] MypyFile:1( AssignmentStmt:1( TupleExpr:1( NameExpr(xx) TupleExpr:1( NameExpr(z) NameExpr(i))) IntExpr(1) tuple[a?[c?], tuple[Any?, int?]])) [case testAnnotateAssignmentViaSelf] class A: def __init__(self): self.x = 1 # type: int [out] MypyFile:1( ClassDef:1( A FuncDef:2( __init__ Args( Var(self)) Block:3( AssignmentStmt:3( MemberExpr:3( NameExpr(self) x) IntExpr(1) int?))))) [case testCommentAfterTypeComment] x = 0 # type: int # bar! [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) IntExpr(0) int?)) [case testMultilineAssignmentAndAnnotations] (x, y) = (1, 2) # type: foo, bar [out] MypyFile:1( AssignmentStmt:1( TupleExpr:1( NameExpr(x) NameExpr(y)) TupleExpr:2( IntExpr(1) IntExpr(2)) tuple[foo?, bar?])) [case testWhitespaceAndCommentAnnotation] x = 1#type:int [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) IntExpr(1) int?)) [case testWhitespaceAndCommentAnnotation2] x = 1# type: int [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) IntExpr(1) int?)) [case testWhitespaceAndCommentAnnotation3] x = 1# type : int # not recognized! [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) IntExpr(1))) [case testInvalidAnnotation] x=1 ##type: int y=1 #.type: int z=1 # Type: int [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) IntExpr(1)) AssignmentStmt:2( NameExpr(y) IntExpr(1)) AssignmentStmt:3( NameExpr(z) IntExpr(1))) [case testEmptyClass] class C: pass [out] MypyFile:1( ClassDef:1( C PassStmt:2())) [case testOperatorPrecedence] a | b ^ c a & b << c [out] MypyFile:1( ExpressionStmt:1( OpExpr:1( | NameExpr(a) OpExpr:1( ^ NameExpr(b) NameExpr(c)))) ExpressionStmt:2( OpExpr:2( & NameExpr(a) OpExpr:2( << NameExpr(b) NameExpr(c))))) [case testOperatorAssociativity] 1 - 2 + 3 1 << 2 << 3 [out] MypyFile:1( ExpressionStmt:1( OpExpr:1( + OpExpr:1( - IntExpr(1) IntExpr(2)) IntExpr(3))) ExpressionStmt:2( OpExpr:2( << OpExpr:2( << IntExpr(1) IntExpr(2)) IntExpr(3)))) [case testUnaryOperators] -2 * +3 * ~3 * 2 ~3**2 [out] MypyFile:1( ExpressionStmt:1( OpExpr:1( * OpExpr:1( * OpExpr:1( * UnaryExpr:1( - IntExpr(2)) UnaryExpr:1( + IntExpr(3))) UnaryExpr:1( ~ IntExpr(3))) IntExpr(2))) ExpressionStmt:2( UnaryExpr:2( ~ OpExpr:2( ** IntExpr(3) IntExpr(2))))) [case testSingleLineBodies] if 1: pass while 1: pass def f(): pass def g() -> int: return 1 [out] MypyFile:1( IfStmt:1( If( IntExpr(1)) Then( PassStmt:1())) WhileStmt:2( IntExpr(1) Block:2( PassStmt:2())) FuncDef:3( f Block:3( PassStmt:3())) FuncDef:4( g def () -> int? Block:4( ReturnStmt:4( IntExpr(1))))) [case testForStatement] for x in y: pass for x, (y, w) in z: 1 for [x, (y, w)] in z: 1 [out] MypyFile:1( ForStmt:1( NameExpr(x) NameExpr(y) Block:2( PassStmt:2())) ForStmt:3( TupleExpr:3( NameExpr(x) TupleExpr:3( NameExpr(y) NameExpr(w))) NameExpr(z) Block:4( ExpressionStmt:4( IntExpr(1)))) ForStmt:5( TupleExpr:5( NameExpr(x) TupleExpr:5( NameExpr(y) NameExpr(w))) NameExpr(z) Block:6( ExpressionStmt:6( IntExpr(1))))) [case testGlobalDecl] global x def f(): global x, y [out] MypyFile:1( GlobalDecl:1( x) FuncDef:2( f Block:3( GlobalDecl:3( x y)))) [case testNonlocalDecl] def f(): def g(): nonlocal x, y [out] MypyFile:1( FuncDef:1( f Block:2( FuncDef:2( g Block:3( NonlocalDecl:3( x y)))))) [case testRaiseStatement] raise foo [out] MypyFile:1( RaiseStmt:1( NameExpr(foo))) [case testRaiseWithoutArg] try: pass except: raise [out] MypyFile:1( TryStmt:1( Block:2( PassStmt:2()) Block:4( RaiseStmt:4()))) [case testRaiseFrom] raise e from x [out] MypyFile:1( RaiseStmt:1( NameExpr(e) NameExpr(x))) [case testBaseclasses] class A(B): pass class A(B[T], C[Any, d[x]]): pass [out] MypyFile:1( ClassDef:1( A BaseTypeExpr( NameExpr(B)) PassStmt:2()) ClassDef:3( A BaseTypeExpr( IndexExpr:3( NameExpr(B) NameExpr(T)) IndexExpr:3( NameExpr(C) TupleExpr:3( NameExpr(Any) IndexExpr:3( NameExpr(d) NameExpr(x))))) PassStmt:4())) [case testIsNot] x is not y [out] MypyFile:1( ExpressionStmt:1( ComparisonExpr:1( is not NameExpr(x) NameExpr(y)))) [case testNotIn] x not in y not x not in y x not in y | z [out] MypyFile:1( ExpressionStmt:1( ComparisonExpr:1( not in NameExpr(x) NameExpr(y))) ExpressionStmt:2( UnaryExpr:2( not ComparisonExpr:2( not in NameExpr(x) NameExpr(y)))) ExpressionStmt:3( ComparisonExpr:3( not in NameExpr(x) OpExpr:3( | NameExpr(y) NameExpr(z))))) [case testNotAsBinaryOp] x not y [out] main:1: error: Invalid syntax [out version==3.10.0] main:1: error: Invalid syntax. Perhaps you forgot a comma? [case testNotIs] x not is y # E: Invalid syntax [out] [case testBinaryNegAsBinaryOp] 1 ~ 2 [out] main:1: error: Invalid syntax [out version==3.10.0] main:1: error: Invalid syntax. Perhaps you forgot a comma? [case testSliceInList] x = [1, 2][1:2] [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) IndexExpr:1( ListExpr:1( IntExpr(1) IntExpr(2)) SliceExpr:1( IntExpr(1) IntExpr(2))))) [case testDictionaryExpression] {} {1:x} {1:x, 2 or 1:2 and 3} [out] MypyFile:1( ExpressionStmt:1( DictExpr:1()) ExpressionStmt:2( DictExpr:2( IntExpr(1) NameExpr(x))) ExpressionStmt:3( DictExpr:3( IntExpr(1) NameExpr(x) OpExpr:3( or IntExpr(2) IntExpr(1)) OpExpr:3( and IntExpr(2) IntExpr(3))))) [case testImport] import x import y.z.foo, __foo__.bar [out] MypyFile:1( Import:1(x) Import:2(y.z.foo, __foo__.bar)) [case testVariableTypeWithQualifiedName] x = None # type: x.y [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) NameExpr(None) x.y?)) [case testTypeInSignatureWithQualifiedName] def f() -> x.y[a.b.c]: pass [out] MypyFile:1( FuncDef:1( f def () -> x.y?[a.b.c?] Block:1( PassStmt:1()))) [case testImportFrom] from m import x from m.n import x, y, z [out] MypyFile:1( ImportFrom:1(m, [x]) ImportFrom:2(m.n, [x, y, z])) [case testImportFromAs] from m import x as y from x import y, z as a, c as c [out] MypyFile:1( ImportFrom:1(m, [x : y]) ImportFrom:2(x, [y, z : a, c : c])) [case testImportStar] from x import * [out] MypyFile:1( ImportAll:1(x)) [case testImportsInDifferentPlaces] 1 import x def f(): from x import y from z import * [out] MypyFile:1( ExpressionStmt:1( IntExpr(1)) Import:2(x) FuncDef:3( f Block:4( ImportFrom:4(x, [y]) ImportAll:5(z)))) [case testImportWithExtraComma] from x import (y, z,) [out] MypyFile:1( ImportFrom:1(x, [y, z])) [case testDefaultArgs] def f(x=1): pass def g(x, y=1+2, z=(1, 2)): pass [out] MypyFile:1( FuncDef:1( f Args( default( Var(x) IntExpr(1))) Block:2( PassStmt:2())) FuncDef:3( g Args( Var(x) default( Var(y) OpExpr:3( + IntExpr(1) IntExpr(2))) default( Var(z) TupleExpr:3( IntExpr(1) IntExpr(2)))) Block:4( PassStmt:4()))) [case testTryFinally] try: 1 finally: 2 [out] MypyFile:1( TryStmt:1( Block:2( ExpressionStmt:2( IntExpr(1))) Finally( ExpressionStmt:4( IntExpr(2))))) [case testTry] try: 1 except x: 2 [out] MypyFile:1( TryStmt:1( Block:2( ExpressionStmt:2( IntExpr(1))) NameExpr(x) Block:4( ExpressionStmt:4( IntExpr(2))))) [case testComplexTry] try: 1 except x as y: 2 except x.y: 3 [out] MypyFile:1( TryStmt:1( Block:2( ExpressionStmt:2( IntExpr(1))) NameExpr(x) NameExpr(y) Block:4( ExpressionStmt:4( IntExpr(2))) MemberExpr:5( NameExpr(x) y) Block:6( ExpressionStmt:6( IntExpr(3))))) [case testGeneratorExpression] (x for y in z) [out] MypyFile:1( ExpressionStmt:1( GeneratorExpr:1( NameExpr(x) NameExpr(y) NameExpr(z)))) [case testGeneratorExpressionNested] (x for y, (p, q) in z) [out] MypyFile:1( ExpressionStmt:1( GeneratorExpr:1( NameExpr(x) TupleExpr:1( NameExpr(y) TupleExpr:1( NameExpr(p) NameExpr(q))) NameExpr(z)))) [case testListComprehension] x=[x for y in z] [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) ListComprehension:1( GeneratorExpr:1( NameExpr(x) NameExpr(y) NameExpr(z))))) [case testComplexListComprehension] x=[(x, y) for y, z in (1, 2)] [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) ListComprehension:1( GeneratorExpr:1( TupleExpr:1( NameExpr(x) NameExpr(y)) TupleExpr:1( NameExpr(y) NameExpr(z)) TupleExpr:1( IntExpr(1) IntExpr(2)))))) [case testListComprehension2] ([x + 1 for x in a]) [out] MypyFile:1( ExpressionStmt:1( ListComprehension:1( GeneratorExpr:1( OpExpr:1( + NameExpr(x) IntExpr(1)) NameExpr(x) NameExpr(a))))) [case testSlices] x[1:2] x[:1] x[1:] x[:] [out] MypyFile:1( ExpressionStmt:1( IndexExpr:1( NameExpr(x) SliceExpr:1( IntExpr(1) IntExpr(2)))) ExpressionStmt:2( IndexExpr:2( NameExpr(x) SliceExpr:2( IntExpr(1)))) ExpressionStmt:3( IndexExpr:3( NameExpr(x) SliceExpr:3( IntExpr(1) ))) ExpressionStmt:4( IndexExpr:4( NameExpr(x) SliceExpr:4( )))) [case testSliceWithStride] x[1:2:3] x[1::2] x[:1:2] x[::2] x[1:2:] [out] MypyFile:1( ExpressionStmt:1( IndexExpr:1( NameExpr(x) SliceExpr:1( IntExpr(1) IntExpr(2) IntExpr(3)))) ExpressionStmt:2( IndexExpr:2( NameExpr(x) SliceExpr:2( IntExpr(1) IntExpr(2)))) ExpressionStmt:3( IndexExpr:3( NameExpr(x) SliceExpr:3( IntExpr(1) IntExpr(2)))) ExpressionStmt:4( IndexExpr:4( NameExpr(x) SliceExpr:4( IntExpr(2)))) ExpressionStmt:5( IndexExpr:5( NameExpr(x) SliceExpr:5( IntExpr(1) IntExpr(2))))) [case testYield] def f(): yield x + 1 [out] MypyFile:1( FuncDef:1( f Block:2( ExpressionStmt:2( YieldExpr:2( OpExpr:2( + NameExpr(x) IntExpr(1))))))) [case testYieldFrom] def f(): yield from h() [out] MypyFile:1( FuncDef:1( f Block:2( ExpressionStmt:2( YieldFromExpr:2( CallExpr:2( NameExpr(h) Args())))))) [case testYieldFromAssignment] def f(): a = yield from h() [out] MypyFile:1( FuncDef:1( f Block:2( AssignmentStmt:2( NameExpr(a) YieldFromExpr:2( CallExpr:2( NameExpr(h) Args())))))) [case testDel] del x del x[0], y[1] [out] MypyFile:1( DelStmt:1( NameExpr(x)) DelStmt:2( TupleExpr:2( IndexExpr:2( NameExpr(x) IntExpr(0)) IndexExpr:2( NameExpr(y) IntExpr(1))))) [case testExtraCommas] 1, 2, +[1, 2,] f(1,) {1:2,} [out] MypyFile:1( ExpressionStmt:1( TupleExpr:1( IntExpr(1) IntExpr(2))) ExpressionStmt:2( UnaryExpr:2( + ListExpr:2( IntExpr(1) IntExpr(2)))) ExpressionStmt:3( CallExpr:3( NameExpr(f) Args( IntExpr(1)))) ExpressionStmt:4( DictExpr:4( IntExpr(1) IntExpr(2)))) [case testExtraCommaInFunc] def f(x,): pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) Block:2( PassStmt:2()))) [case testLambda] lambda: 1 lambda x: y + 1 lambda x, y: 1 [out] MypyFile:1( ExpressionStmt:1( LambdaExpr:1( Block:1( ReturnStmt:1( IntExpr(1))))) ExpressionStmt:2( LambdaExpr:2( Args( Var(x)) Block:2( ReturnStmt:2( OpExpr:2( + NameExpr(y) IntExpr(1)))))) ExpressionStmt:3( LambdaExpr:3( Args( Var(x) Var(y)) Block:3( ReturnStmt:3( IntExpr(1)))))) [case testComplexLambda] lambda x=2: x [out] MypyFile:1( ExpressionStmt:1( LambdaExpr:1( Args( default( Var(x) IntExpr(2))) Block:1( ReturnStmt:1( NameExpr(x)))))) [case testLambdaPrecedence] lambda x: 1, 2 [out] MypyFile:1( ExpressionStmt:1( TupleExpr:1( LambdaExpr:1( Args( Var(x)) Block:1( ReturnStmt:1( IntExpr(1)))) IntExpr(2)))) [case testForIndicesInParens] for (i, j) in x: pass [out] MypyFile:1( ForStmt:1( TupleExpr:1( NameExpr(i) NameExpr(j)) NameExpr(x) Block:2( PassStmt:2()))) [case testForAndTrailingCommaAfterIndexVar] for i, in x: pass [out] MypyFile:1( ForStmt:1( TupleExpr:1( NameExpr(i)) NameExpr(x) Block:2( PassStmt:2()))) [case testListComprehensionAndTrailingCommaAfterIndexVar] x = [a for b, in c] [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) ListComprehension:1( GeneratorExpr:1( NameExpr(a) TupleExpr:1( NameExpr(b)) NameExpr(c))))) [case testForAndTrailingCommaAfterIndexVars] for i, j, in x: pass [out] MypyFile:1( ForStmt:1( TupleExpr:1( NameExpr(i) NameExpr(j)) NameExpr(x) Block:2( PassStmt:2()))) [case testGeneratorWithCondition] (x for y in z if 0) [out] MypyFile:1( ExpressionStmt:1( GeneratorExpr:1( NameExpr(x) NameExpr(y) NameExpr(z) IntExpr(0)))) [case testListComprehensionWithCondition] raise [x for y in z if 0] [out] MypyFile:1( RaiseStmt:1( ListComprehension:1( GeneratorExpr:1( NameExpr(x) NameExpr(y) NameExpr(z) IntExpr(0))))) [case testListComprehensionWithConditions] raise [x for y in z if 0 if 1] [out] MypyFile:1( RaiseStmt:1( ListComprehension:1( GeneratorExpr:1( NameExpr(x) NameExpr(y) NameExpr(z) IntExpr(0) IntExpr(1))))) [case testListComprehensionWithCrazyConditions] raise [x for y in z if (1 if 2 else 3) if 1] [out] MypyFile:1( RaiseStmt:1( ListComprehension:1( GeneratorExpr:1( NameExpr(x) NameExpr(y) NameExpr(z) ConditionalExpr:1( Condition( IntExpr(2)) IntExpr(1) IntExpr(3)) IntExpr(1))))) [case testDictionaryComprehension] a = {x: y for x, y in xys} [out] MypyFile:1( AssignmentStmt:1( NameExpr(a) DictionaryComprehension:1( NameExpr(x) NameExpr(y) TupleExpr:1( NameExpr(x) NameExpr(y)) NameExpr(xys)))) [case testDictionaryComprehensionComplex] a = {x: y for x, y in xys for p, q in pqs if c} [out] MypyFile:1( AssignmentStmt:1( NameExpr(a) DictionaryComprehension:1( NameExpr(x) NameExpr(y) TupleExpr:1( NameExpr(x) NameExpr(y)) TupleExpr:1( NameExpr(p) NameExpr(q)) NameExpr(xys) NameExpr(pqs) NameExpr(c)))) [case testSetComprehension] a = {i for i in l} [out] MypyFile:1( AssignmentStmt:1( NameExpr(a) SetComprehension:1( GeneratorExpr:1( NameExpr(i) NameExpr(i) NameExpr(l))))) [case testSetComprehensionComplex] a = {x + p for x in xys for p in pqs if c} [out] MypyFile:1( AssignmentStmt:1( NameExpr(a) SetComprehension:1( GeneratorExpr:1( OpExpr:1( + NameExpr(x) NameExpr(p)) NameExpr(x) NameExpr(p) NameExpr(xys) NameExpr(pqs) NameExpr(c))))) [case testWithStatement] with open('foo') as f: pass [out] MypyFile:1( WithStmt:1( Expr( CallExpr:1( NameExpr(open) Args( StrExpr(foo)))) Target( NameExpr(f)) Block:2( PassStmt:2()))) [case testWithStatementWithoutTarget] with foo: pass [out] MypyFile:1( WithStmt:1( Expr( NameExpr(foo)) Block:2( PassStmt:2()))) [case testHexOctBinLiterals] 0xa, 0Xaf, 0o7, 0O12, 0b1, 0B101 [out] MypyFile:1( ExpressionStmt:1( TupleExpr:1( IntExpr(10) IntExpr(175) IntExpr(7) IntExpr(10) IntExpr(1) IntExpr(5)))) [case testImportFromWithParens] from x import (y) from x import (y, z) [out] MypyFile:1( ImportFrom:1(x, [y]) ImportFrom:2(x, [y, z])) [case testContinueStmt] while 1: continue [out] MypyFile:1( WhileStmt:1( IntExpr(1) Block:2( ContinueStmt:2()))) [case testStrLiteralConcatenate] 'f' 'bar' ('x' 'y' 'z') [out] MypyFile:1( ExpressionStmt:1( StrExpr(fbar)) ExpressionStmt:2( StrExpr(xyz))) [case testCatchAllExcept] try: 1 except: pass try: 1 except x: pass except: 2 [out] MypyFile:1( TryStmt:1( Block:2( ExpressionStmt:2( IntExpr(1))) Block:4( PassStmt:4())) TryStmt:5( Block:6( ExpressionStmt:6( IntExpr(1))) NameExpr(x) Block:8( PassStmt:8()) Block:10( ExpressionStmt:10( IntExpr(2))))) [case testTryElse] try: pass except x: 1 else: 2 [out] MypyFile:1( TryStmt:1( Block:2( PassStmt:2()) NameExpr(x) Block:4( ExpressionStmt:4( IntExpr(1))) Else( ExpressionStmt:6( IntExpr(2))))) [case testExceptWithMultipleTypes] try: pass except (x, y): pass except (a, b, c) as e: pass [out] MypyFile:1( TryStmt:1( Block:2( PassStmt:2()) TupleExpr:3( NameExpr(x) NameExpr(y)) Block:4( PassStmt:4()) TupleExpr:5( NameExpr(a) NameExpr(b) NameExpr(c)) NameExpr(e) Block:6( PassStmt:6()))) [case testNestedFunctions] def f(): def g(): pass def h() -> int: def g() -> int: pass [out] MypyFile:1( FuncDef:1( f Block:2( FuncDef:2( g Block:3( PassStmt:3())))) FuncDef:4( h def () -> int? Block:5( FuncDef:5( g def () -> int? Block:6( PassStmt:6()))))) [case testStatementsAndDocStringsInClassBody] class A: "doc string" x = y def f(self): pass [out] MypyFile:1( ClassDef:1( A ExpressionStmt:2( StrExpr(doc string)) AssignmentStmt:3( NameExpr(x) NameExpr(y)) FuncDef:4( f Args( Var(self)) Block:5( PassStmt:5())))) [case testSingleLineClass] class a: pass [out] MypyFile:1( ClassDef:1( a PassStmt:1())) [case testDecorator] @property def f(): pass [out] MypyFile:1( Decorator:1( Var(f) NameExpr(property) FuncDef:2( f Block:3( PassStmt:3())))) [case testComplexDecorator] @foo(bar, 1) @zar def f() -> int: pass [out] MypyFile:1( Decorator:1( Var(f) CallExpr:1( NameExpr(foo) Args( NameExpr(bar) IntExpr(1))) NameExpr(zar) FuncDef:3( f def () -> int? Block:4( PassStmt:4())))) [case testKeywordArgInCall] f(x=1) [out] MypyFile:1( ExpressionStmt:1( CallExpr:1( NameExpr(f) Args() KwArgs( x IntExpr(1))))) [case testComplexKeywordArgs] f(x, y=1 or 2, z=y) [out] MypyFile:1( ExpressionStmt:1( CallExpr:1( NameExpr(f) Args( NameExpr(x)) KwArgs( y OpExpr:1( or IntExpr(1) IntExpr(2))) KwArgs( z NameExpr(y))))) [case testChainedAssignment] x = z = 1 [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x) NameExpr(z)) IntExpr(1))) [case testVarArgs] def f(x, *a): pass f(1, *2) [out] MypyFile:1( FuncDef:1( f Args( Var(x)) VarArg( Var(a)) Block:1( PassStmt:1())) ExpressionStmt:2( CallExpr:2( NameExpr(f) Args( IntExpr(1) IntExpr(2)) VarArg))) [case testVarArgWithType] def f(x: str, *a: int): pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) def (x: str?, *a: int?) -> Any VarArg( Var(a)) Block:1( PassStmt:1()))) [case testDictVarArgs] def f(x, **a): pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) DictVarArg( Var(a)) Block:1( PassStmt:1()))) [case testBothVarArgs] def f(x, *a, **b): pass def g(*a, **b): pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) VarArg( Var(a)) DictVarArg( Var(b)) Block:1( PassStmt:1())) FuncDef:2( g VarArg( Var(a)) DictVarArg( Var(b)) Block:2( PassStmt:2()))) [case testDictVarArgsWithType] def f(x: X, **a: A) -> None: pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) def (x: X?, **a: A?) -> None? DictVarArg( Var(a)) Block:1( PassStmt:1()))) [case testCallDictVarArgs] f(**x) f(x, **y) f(*x, **y) f(x, *y, **z) [out] MypyFile:1( ExpressionStmt:1( CallExpr:1( NameExpr(f) Args() DictVarArg( NameExpr(x)))) ExpressionStmt:2( CallExpr:2( NameExpr(f) Args( NameExpr(x)) DictVarArg( NameExpr(y)))) ExpressionStmt:3( CallExpr:3( NameExpr(f) Args( NameExpr(x)) VarArg DictVarArg( NameExpr(y)))) ExpressionStmt:4( CallExpr:4( NameExpr(f) Args( NameExpr(x) NameExpr(y)) VarArg DictVarArg( NameExpr(z))))) [case testAssert] assert x == y [out] MypyFile:1( AssertStmt:1( ComparisonExpr:1( == NameExpr(x) NameExpr(y)))) [case testYieldWithoutExpressions] def f(): yield [out] MypyFile:1( FuncDef:1( f Block:2( ExpressionStmt:2( YieldExpr:2())))) [case testConditionalExpression] x if y else z [out] MypyFile:1( ExpressionStmt:1( ConditionalExpr:1( Condition( NameExpr(y)) NameExpr(x) NameExpr(z)))) [case testConditionalExpressionInListComprehension] a = [x if y else z for a in b] [out] MypyFile:1( AssignmentStmt:1( NameExpr(a) ListComprehension:1( GeneratorExpr:1( ConditionalExpr:1( Condition( NameExpr(y)) NameExpr(x) NameExpr(z)) NameExpr(a) NameExpr(b))))) [case testConditionalExpressionInTuple] 1 if 2 else 3, 4 [out] MypyFile:1( ExpressionStmt:1( TupleExpr:1( ConditionalExpr:1( Condition( IntExpr(2)) IntExpr(1) IntExpr(3)) IntExpr(4)))) [case testSetLiteral] {x or y} {1, 2} [out] MypyFile:1( ExpressionStmt:1( SetExpr:1( OpExpr:1( or NameExpr(x) NameExpr(y)))) ExpressionStmt:2( SetExpr:2( IntExpr(1) IntExpr(2)))) [case testSetLiteralWithExtraComma] {x,} [out] MypyFile:1( ExpressionStmt:1( SetExpr:1( NameExpr(x)))) [case testImportAs] import x as y import x, z as y, a.b as c, d as d [out] MypyFile:1( Import:1(x : y) Import:2(x, z : y, a.b : c, d : d)) [case testForAndElse] for x in y: pass else: x [out] MypyFile:1( ForStmt:1( NameExpr(x) NameExpr(y) Block:2( PassStmt:2()) Else( ExpressionStmt:4( NameExpr(x))))) [case testWhileAndElse] while x: pass else: y [out] MypyFile:1( WhileStmt:1( NameExpr(x) Block:2( PassStmt:2()) Else( ExpressionStmt:4( NameExpr(y))))) [case testWithAndMultipleOperands] with x as y, a as b: pass with x(), y(): pass [out] MypyFile:1( WithStmt:1( Expr( NameExpr(x)) Target( NameExpr(y)) Expr( NameExpr(a)) Target( NameExpr(b)) Block:2( PassStmt:2())) WithStmt:3( Expr( CallExpr:3( NameExpr(x) Args())) Expr( CallExpr:3( NameExpr(y) Args())) Block:4( PassStmt:4()))) [case testOperatorAssignment] x += 1 x -= 1 x *= 1 x /= 1 x //= 1 x %= 1 x **= 1 x |= 1 x &= 1 x ^= 1 x >>= 1 x <<= 1 [out] MypyFile:1( OperatorAssignmentStmt:1( + NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:2( - NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:3( * NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:4( / NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:5( // NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:6( % NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:7( ** NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:8( | NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:9( & NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:10( ^ NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:11( >> NameExpr(x) IntExpr(1)) OperatorAssignmentStmt:12( << NameExpr(x) IntExpr(1))) [case testNestedClasses] class A: class B: pass class C: pass [out] MypyFile:1( ClassDef:1( A ClassDef:2( B PassStmt:3()) ClassDef:4( C PassStmt:5()))) [case testTryWithExceptAndFinally] try: pass except x: x finally: y [out] MypyFile:1( TryStmt:1( Block:2( PassStmt:2()) NameExpr(x) Block:4( ExpressionStmt:4( NameExpr(x))) Finally( ExpressionStmt:6( NameExpr(y))))) [case testBareAsteriskInFuncDef] def f(x, *, y=1): pass [out] MypyFile:1( FuncDef:1( f MaxPos(1) Args( Var(x) default( Var(y) IntExpr(1))) Block:1( PassStmt:1()))) [case testBareAsteriskInFuncDefWithSignature] def f(x: A, *, y: B = 1) -> None: pass [out] MypyFile:1( FuncDef:1( f MaxPos(1) Args( Var(x) default( Var(y) IntExpr(1))) def (x: A?, *, y: B? =) -> None? Block:1( PassStmt:1()))) [case testBareAsteriskNamedDefault] def f(*, y: B = 1) -> None: pass [out] MypyFile:1( FuncDef:1( f MaxPos(0) Args( default( Var(y) IntExpr(1))) def (*, y: B? =) -> None? Block:1( PassStmt:1()))) [case testBareAsteriskNamedNoDefault] def f(*, y: B) -> None: pass [out] MypyFile:1( FuncDef:1( f MaxPos(0) Args( Var(y)) def (*, y: B?) -> None? Block:1( PassStmt:1()))) [case testSuperExpr] super().x [out] MypyFile:1( ExpressionStmt:1( SuperExpr:1( x CallExpr:1( NameExpr(super) Args())))) [case testKeywordAndDictArgs] f(x = y, **kwargs) [out] MypyFile:1( ExpressionStmt:1( CallExpr:1( NameExpr(f) Args() KwArgs( x NameExpr(y)) DictVarArg( NameExpr(kwargs))))) [case testSimpleFunctionType] f = None # type: Callable[[], None] [out] MypyFile:1( AssignmentStmt:1( NameExpr(f) NameExpr(None) Callable?[, None?])) [case testFunctionTypeWithArgument] f = None # type: Callable[[str], int] [out] MypyFile:1( AssignmentStmt:1( NameExpr(f) NameExpr(None) Callable?[, int?])) [case testFunctionTypeWithTwoArguments] f = None # type: Callable[[a[b], x.y], List[int]] [out] MypyFile:1( AssignmentStmt:1( NameExpr(f) NameExpr(None) Callable?[, List?[int?]])) [case testFunctionTypeWithExtraComma] def f(x: Callable[[str,], int]): pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) def (x: Callable?[, int?]) -> Any Block:1( PassStmt:1()))) [case testSimpleStringLiteralType] def f() -> 'A': pass [out] MypyFile:1( FuncDef:1( f def () -> A? Block:1( PassStmt:1()))) [case testGenericStringLiteralType] def f() -> 'A[B, C]': pass [out] MypyFile:1( FuncDef:1( f def () -> A?[B?, C?] Block:1( PassStmt:1()))) [case testPartialStringLiteralType] def f() -> A['B', C]: pass [out] MypyFile:1( FuncDef:1( f def () -> A?[B?, C?] Block:1( PassStmt:1()))) [case testWhitespaceInStringLiteralType] def f() -> ' A [ X ] ': pass [out] MypyFile:1( FuncDef:1( f def () -> A?[X?] Block:1( PassStmt:1()))) [case testEscapeInStringLiteralType] def f() -> '\x41': pass [out] MypyFile:1( FuncDef:1( f def () -> A? Block:1( PassStmt:1()))) [case testMetaclass] class Foo(metaclass=Bar): pass [out] MypyFile:1( ClassDef:1( Foo Metaclass(NameExpr(Bar)) PassStmt:1())) [case testQualifiedMetaclass] class Foo(metaclass=foo.Bar): pass [out] MypyFile:1( ClassDef:1( Foo Metaclass(MemberExpr:1( NameExpr(foo) Bar)) PassStmt:1())) [case testBaseAndMetaclass] class Foo(foo.bar[x], metaclass=Bar): pass [out] MypyFile:1( ClassDef:1( Foo Metaclass(NameExpr(Bar)) BaseTypeExpr( IndexExpr:1( MemberExpr:1( NameExpr(foo) bar) NameExpr(x))) PassStmt:1())) [case testClassKeywordArgs] class Foo(_root=None): pass [out] MypyFile:1( ClassDef:1( Foo PassStmt:1())) [case testClassKeywordArgsBeforeMeta] class Foo(_root=None, metaclass=Bar): pass [out] MypyFile:1( ClassDef:1( Foo Metaclass(NameExpr(Bar)) PassStmt:1())) [case testClassKeywordArgsAfterMeta] class Foo(metaclass=Bar, _root=None): pass [out] MypyFile:1( ClassDef:1( Foo Metaclass(NameExpr(Bar)) PassStmt:1())) [case testNamesThatAreNoLongerKeywords] any = interface [out] MypyFile:1( AssignmentStmt:1( NameExpr(any) NameExpr(interface))) [case testFunctionOverload] @overload def f() -> x: pass @overload def f() -> y: pass [out] MypyFile:1( OverloadedFuncDef:1( Decorator:1( Var(f) NameExpr(overload) FuncDef:2( f def () -> x? Block:2( PassStmt:2()))) Decorator:3( Var(f) NameExpr(overload) FuncDef:4( f def () -> y? Block:4( PassStmt:4()))))) [case testFunctionOverloadAndOtherStatements] x @overload def f() -> x: pass @overload def f() -> y: pass x [out] MypyFile:1( ExpressionStmt:1( NameExpr(x)) OverloadedFuncDef:2( Decorator:2( Var(f) NameExpr(overload) FuncDef:3( f def () -> x? Block:3( PassStmt:3()))) Decorator:4( Var(f) NameExpr(overload) FuncDef:5( f def () -> y? Block:5( PassStmt:5())))) ExpressionStmt:6( NameExpr(x))) [case testFunctionOverloadWithThreeVariants] @overload def f() -> x: pass @overload def f() -> y: pass @overload def f(y): pass [out] MypyFile:1( OverloadedFuncDef:1( Decorator:1( Var(f) NameExpr(overload) FuncDef:2( f def () -> x? Block:2( PassStmt:2()))) Decorator:3( Var(f) NameExpr(overload) FuncDef:4( f def () -> y? Block:4( PassStmt:4()))) Decorator:5( Var(f) NameExpr(overload) FuncDef:6( f Args( Var(y)) Block:6( PassStmt:6()))))) [case testDecoratorsThatAreNotOverloads] @foo def f() -> x: pass @foo def g() -> y: pass [out] MypyFile:1( Decorator:1( Var(f) NameExpr(foo) FuncDef:2( f def () -> x? Block:2( PassStmt:2()))) Decorator:3( Var(g) NameExpr(foo) FuncDef:4( g def () -> y? Block:4( PassStmt:4())))) [case testFunctionOverloadWithinFunction] def f(): @overload def g(): pass @overload def g() -> x: pass [out] MypyFile:1( FuncDef:1( f Block:2( OverloadedFuncDef:2( Decorator:2( Var(g) NameExpr(overload) FuncDef:3( g Block:3( PassStmt:3()))) Decorator:4( Var(g) NameExpr(overload) FuncDef:5( g def () -> x? Block:5( PassStmt:5()))))))) [case testCommentFunctionAnnotation] def f(): # type: () -> A pass def g(x): # type: (A) -> B pass [out] MypyFile:1( FuncDef:1( f def () -> A? Block:2( PassStmt:2())) FuncDef:3( g Args( Var(x)) def (x: A?) -> B? Block:4( PassStmt:4()))) [case testCommentMethodAnnotation] class A: def f(self): # type: () -> A pass def g(xself, x): # type: (A) -> B pass [out] MypyFile:1( ClassDef:1( A FuncDef:2( f Args( Var(self)) def (self: Any) -> A? Block:3( PassStmt:3())) FuncDef:4( g Args( Var(xself) Var(x)) def (xself: Any, x: A?) -> B? Block:5( PassStmt:5())))) [case testCommentMethodAnnotationAndNestedFunction] class A: def f(self): # type: () -> A def g(x): # type: (A) -> B pass [out] MypyFile:1( ClassDef:1( A FuncDef:2( f Args( Var(self)) def (self: Any) -> A? Block:3( FuncDef:3( g Args( Var(x)) def (x: A?) -> B? Block:4( PassStmt:4())))))) [case testCommentFunctionAnnotationOnSeparateLine] def f(x): # type: (X) -> Y pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) def (x: X?) -> Y? Block:3( PassStmt:3()))) [case testCommentFunctionAnnotationOnSeparateLine2] def f(x): # type: (X) -> Y # bar pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) def (x: X?) -> Y? Block:5( PassStmt:5()))) [case testCommentFunctionAnnotationAndVarArg] def f(x, *y): # type: (X, *Y) -> Z pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) def (x: X?, *y: Y?) -> Z? VarArg( Var(y)) Block:2( PassStmt:2()))) [case testCommentFunctionAnnotationAndAllVarArgs] def f(x, *y, **z): # type: (X, *Y, **Z) -> A pass [out] MypyFile:1( FuncDef:1( f Args( Var(x)) def (x: X?, *y: Y?, **z: Z?) -> A? VarArg( Var(y)) DictVarArg( Var(z)) Block:2( PassStmt:2()))) [case testClassDecorator] @foo class X: pass @foo(bar) @x.y class Z: pass [out] MypyFile:1( ClassDef:2( X Decorators( NameExpr(foo)) PassStmt:2()) ClassDef:5( Z Decorators( CallExpr:3( NameExpr(foo) Args( NameExpr(bar))) MemberExpr:4( NameExpr(x) y)) PassStmt:5())) [case testTrailingSemicolon] def x(): pass; def y(): pass [out] MypyFile:1( FuncDef:1( x Block:2( PassStmt:2())) FuncDef:4( y Block:5( PassStmt:5()))) [case testEmptySuperClass] class A(): pass [out] MypyFile:1( ClassDef:1( A PassStmt:2())) [case testStarExpression] *a *a, b a, *b a, (*x, y) a, (x, *y) [out] MypyFile:1( ExpressionStmt:1( StarExpr:1( NameExpr(a))) ExpressionStmt:2( TupleExpr:2( StarExpr:2( NameExpr(a)) NameExpr(b))) ExpressionStmt:3( TupleExpr:3( NameExpr(a) StarExpr:3( NameExpr(b)))) ExpressionStmt:4( TupleExpr:4( NameExpr(a) TupleExpr:4( StarExpr:4( NameExpr(x)) NameExpr(y)))) ExpressionStmt:5( TupleExpr:5( NameExpr(a) TupleExpr:5( NameExpr(x) StarExpr:5( NameExpr(y)))))) [case testStarExpressionParenthesis] *(a) *(a,b) [out] MypyFile:1( ExpressionStmt:1( StarExpr:1( NameExpr(a))) ExpressionStmt:2( StarExpr:2( TupleExpr:2( NameExpr(a) NameExpr(b))))) [case testStarExpressionInFor] for *a in b: pass for a, *b in c: pass for *a, b in c: pass [out] MypyFile:1( ForStmt:1( StarExpr:1( NameExpr(a)) NameExpr(b) Block:2( PassStmt:2())) ForStmt:4( TupleExpr:4( NameExpr(a) StarExpr:4( NameExpr(b))) NameExpr(c) Block:5( PassStmt:5())) ForStmt:7( TupleExpr:7( StarExpr:7( NameExpr(a)) NameExpr(b)) NameExpr(c) Block:8( PassStmt:8()))) [case testStarExprInGeneratorExpr] (x for y, *p in z) (x for *p, y in z) (x for y, *p, q in z) [out] MypyFile:1( ExpressionStmt:1( GeneratorExpr:1( NameExpr(x) TupleExpr:1( NameExpr(y) StarExpr:1( NameExpr(p))) NameExpr(z))) ExpressionStmt:2( GeneratorExpr:2( NameExpr(x) TupleExpr:2( StarExpr:2( NameExpr(p)) NameExpr(y)) NameExpr(z))) ExpressionStmt:3( GeneratorExpr:3( NameExpr(x) TupleExpr:3( NameExpr(y) StarExpr:3( NameExpr(p)) NameExpr(q)) NameExpr(z)))) [case testParseNamedtupleBaseclass] class A(namedtuple('x', ['y'])): pass [out] MypyFile:1( ClassDef:1( A BaseTypeExpr( CallExpr:1( NameExpr(namedtuple) Args( StrExpr(x) ListExpr:1( StrExpr(y))))) PassStmt:1())) [case testEllipsis] ... a[1,...,2] ....__class__ [out] MypyFile:1( ExpressionStmt:1( Ellipsis) ExpressionStmt:2( IndexExpr:2( NameExpr(a) TupleExpr:2( IntExpr(1) Ellipsis IntExpr(2)))) ExpressionStmt:3( MemberExpr:3( Ellipsis __class__))) [case testFunctionWithManyKindsOfArgs] def f(x, *args, y=None, **kw): pass [out] MypyFile:1( FuncDef:1( f MaxPos(1) Args( Var(x) default( Var(y) NameExpr(None))) VarArg( Var(args)) DictVarArg( Var(kw)) Block:1( PassStmt:1()))) [case testIfWithSemicolons] if 1: a; b [out] MypyFile:1( IfStmt:1( If( IntExpr(1)) Then( ExpressionStmt:1( NameExpr(a)) ExpressionStmt:1( NameExpr(b))))) [case testIfWithSemicolonsNested] while 2: if 1: a; b [out] MypyFile:1( WhileStmt:1( IntExpr(2) Block:2( IfStmt:2( If( IntExpr(1)) Then( ExpressionStmt:2( NameExpr(a)) ExpressionStmt:2( NameExpr(b))))))) [case testIfElseWithSemicolons] if 1: global x; y = 1 else: x = 1; return 3 4 [out] MypyFile:1( IfStmt:1( If( IntExpr(1)) Then( GlobalDecl:1( x) AssignmentStmt:1( NameExpr(y) IntExpr(1))) Else( AssignmentStmt:2( NameExpr(x) IntExpr(1)) ReturnStmt:2( IntExpr(3)))) ExpressionStmt:3( IntExpr(4))) [case testIfElseWithSemicolonsNested] while 2: if 1: global x; y = 1 else: x = 1; return 3 4 [out] MypyFile:1( WhileStmt:1( IntExpr(2) Block:2( IfStmt:2( If( IntExpr(1)) Then( GlobalDecl:2( x) AssignmentStmt:2( NameExpr(y) IntExpr(1))) Else( AssignmentStmt:3( NameExpr(x) IntExpr(1)) ReturnStmt:3( IntExpr(3)))))) ExpressionStmt:4( IntExpr(4))) [case testKeywordArgumentAfterStarArgumentInCall] f(x=1, *y) [out] MypyFile:1( ExpressionStmt:1( CallExpr:1( NameExpr(f) Args( NameExpr(y)) VarArg KwArgs( x IntExpr(1))))) [case testConditionalExpressionInSetComprehension] { 1 if x else 2 for x in y } [out] MypyFile:1( ExpressionStmt:1( SetComprehension:1( GeneratorExpr:1( ConditionalExpr:1( Condition( NameExpr(x)) IntExpr(1) IntExpr(2)) NameExpr(x) NameExpr(y))))) [case testConditionalExpressionInListComprehension2] a = [ 1 if x else 2 for x in y ] [out] MypyFile:1( AssignmentStmt:1( NameExpr(a) ListComprehension:1( GeneratorExpr:1( ConditionalExpr:1( Condition( NameExpr(x)) IntExpr(1) IntExpr(2)) NameExpr(x) NameExpr(y))))) [case testComplexWithLvalue] with x as y.z: pass [out] MypyFile:1( WithStmt:1( Expr( NameExpr(x)) Target( MemberExpr:1( NameExpr(y) z)) Block:1( PassStmt:1()))) [case testRelativeImportWithEllipsis] from ... import x [out] MypyFile:1( ImportFrom:1(..., [x])) [case testRelativeImportWithEllipsis2] from .... import x [out] MypyFile:1( ImportFrom:1(...., [x])) [case testParseExtendedSlicing] a[:, :] [out] MypyFile:1( ExpressionStmt:1( IndexExpr:1( NameExpr(a) TupleExpr:1( SliceExpr:1( ) SliceExpr:1( ))))) [case testParseExtendedSlicing2] a[1:2:, :,] [out] MypyFile:1( ExpressionStmt:1( IndexExpr:1( NameExpr(a) TupleExpr:1( SliceExpr:1( IntExpr(1) IntExpr(2)) SliceExpr:1( ))))) [case testParseExtendedSlicing3] a[1:2:3, ..., 1] [out] MypyFile:1( ExpressionStmt:1( IndexExpr:1( NameExpr(a) TupleExpr:1( SliceExpr:1( IntExpr(1) IntExpr(2) IntExpr(3)) Ellipsis IntExpr(1))))) [case testParseExtendedSlicing4] m[*index, :] [out] main:1: error: Invalid syntax [out version>=3.11] MypyFile:1( ExpressionStmt:1( IndexExpr:1( NameExpr(m) TupleExpr:1( StarExpr:1( NameExpr(index)) SliceExpr:1( ))))) [case testParseIfExprInDictExpr] test = { 'spam': 'eggs' if True else 'bacon' } [out] MypyFile:1( AssignmentStmt:1( NameExpr(test) DictExpr:1( StrExpr(spam) ConditionalExpr:1( Condition( NameExpr(True)) StrExpr(eggs) StrExpr(bacon))))) [case testIgnoreLine] import x # type: ignore [out] MypyFile:1( Import:1(x) IgnoredLines(1)) [case testIgnore2Lines] x y # type: ignore z # type: ignore [out] MypyFile:1( ExpressionStmt:1( NameExpr(x)) ExpressionStmt:2( NameExpr(y)) ExpressionStmt:3( NameExpr(z)) IgnoredLines(2, 3)) [case testCommentedOutIgnoreAnnotation] y ## type: ignore [out] MypyFile:1( ExpressionStmt:1( NameExpr(y))) [case testSpaceInIgnoreAnnotations] y # type: ignore # foo y #type:ignore [out] MypyFile:1( ExpressionStmt:1( NameExpr(y)) ExpressionStmt:2( NameExpr(y)) IgnoredLines(1, 2)) [case testIgnoreAnnotationAndMultilineStatement] x = { 1: 2 # type: ignore } y = { # type: ignore 1: 2 } # type: ignore [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) DictExpr:1( IntExpr(1) IntExpr(2))) AssignmentStmt:4( NameExpr(y) DictExpr:4( IntExpr(1) IntExpr(2))) IgnoredLines(2, 4, 6)) [case testIgnoreAnnotationAndMultilineStatement2] from m import ( # type: ignore x, y ) [out] MypyFile:1( ImportFrom:1(m, [x, y]) IgnoredLines(1)) [case testYieldExpression] def f(): x = yield f() [out] MypyFile:1( FuncDef:1( f Block:2( AssignmentStmt:2( NameExpr(x) YieldExpr:2( CallExpr:2( NameExpr(f) Args())))))) [case testForWithSingleItemTuple] for x in 1,: pass [out] MypyFile:1( ForStmt:1( NameExpr(x) TupleExpr:1( IntExpr(1)) Block:1( PassStmt:1()))) [case testIsoLatinUnixEncoding] # coding: iso-latin-1-unix [out] MypyFile:1() [case testLatinUnixEncoding] # coding: latin-1-unix [out] MypyFile:1() [case testLatinUnixEncoding2] # coding: iso-latin-1 [out] MypyFile:1() [case testYieldExpressionInParens] def f(): (yield) [out] MypyFile:1( FuncDef:1( f Block:2( ExpressionStmt:2( YieldExpr:2())))) [case testFStringSimple] x = 'mypy' f'Hello {x}' [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) StrExpr(mypy)) ExpressionStmt:2( CallExpr:2( MemberExpr:2( StrExpr() join) Args( ListExpr:2( StrExpr(Hello ) CallExpr:2( MemberExpr:2( StrExpr({:{}}) format) Args( NameExpr(x) StrExpr()))))))) [case testFStringWithConversion] x = 'mypy' F'Hello {x!r}' [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) StrExpr(mypy)) ExpressionStmt:2( CallExpr:2( MemberExpr:2( StrExpr() join) Args( ListExpr:2( StrExpr(Hello ) CallExpr:2( MemberExpr:2( StrExpr({!r:{}}) format) Args( NameExpr(x) StrExpr()))))))) [case testFStringWithOnlyFormatSpecifier] x = 'mypy' f'Hello {x:<30}' [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) StrExpr(mypy)) ExpressionStmt:2( CallExpr:2( MemberExpr:2( StrExpr() join) Args( ListExpr:2( StrExpr(Hello ) CallExpr:2( MemberExpr:2( StrExpr({:{}}) format) Args( NameExpr(x) StrExpr(<30)))))))) [case testFStringWithFormatSpecifierAndConversion] x = 'mypy' f'Hello {x!s:<30}' [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) StrExpr(mypy)) ExpressionStmt:2( CallExpr:2( MemberExpr:2( StrExpr() join) Args( ListExpr:2( StrExpr(Hello ) CallExpr:2( MemberExpr:2( StrExpr({!s:{}}) format) Args( NameExpr(x) StrExpr(<30)))))))) [case testFStringWithFormatSpecifierExpression] x = 'mypy' y = 30 f'Hello {x!s:<{y+y}}' [out] MypyFile:1( AssignmentStmt:1( NameExpr(x) StrExpr(mypy)) AssignmentStmt:2( NameExpr(y) IntExpr(30)) ExpressionStmt:3( CallExpr:3( MemberExpr:3( StrExpr() join) Args( ListExpr:3( StrExpr(Hello ) CallExpr:3( MemberExpr:3( StrExpr({!s:{}}) format) Args( NameExpr(x) CallExpr:3( MemberExpr:3( StrExpr() join) Args( ListExpr:3( StrExpr(<) CallExpr:3( MemberExpr:3( StrExpr({:{}}) format) Args( OpExpr:3( + NameExpr(y) NameExpr(y)) StrExpr())))))))))))) [case testStripFunctionBodiesIfIgnoringErrors] # mypy: ignore-errors=True def f(self): self.x = 1 # Cannot define an attribute return 1 [out] MypyFile:1( FuncDef:2( f Args( Var(self)) Block:3())) [case testStripMethodBodiesIfIgnoringErrors] # mypy: ignore-errors=True class C: def f(self): x = self.x for x in y: pass with a as y: pass while self.foo(): self.bah() a[self.x] = 1 [out] MypyFile:1( ClassDef:2( C FuncDef:3( f Args( Var(self)) Block:4()))) [case testDoNotStripModuleTopLevelOrClassBody] # mypy: ignore-errors=True f() class C: x = 5 [out] MypyFile:1( ExpressionStmt:2( CallExpr:2( NameExpr(f) Args())) ClassDef:3( C AssignmentStmt:4( NameExpr(x) IntExpr(5)))) [case testDoNotStripMethodThatAssignsToAttribute] # mypy: ignore-errors=True class C: def m1(self): self.x = 0 def m2(self): a, self.y = 0 [out] MypyFile:1( ClassDef:2( C FuncDef:3( m1 Args( Var(self)) Block:4( AssignmentStmt:4( MemberExpr:4( NameExpr(self) x) IntExpr(0)))) FuncDef:5( m2 Args( Var(self)) Block:6( AssignmentStmt:6( TupleExpr:6( NameExpr(a) MemberExpr:6( NameExpr(self) y)) IntExpr(0)))))) [case testDoNotStripMethodThatAssignsToAttributeWithinStatement] # mypy: ignore-errors=True class C: def m1(self): for x in y: self.x = 0 def m2(self): with x: self.y = 0 def m3(self): if x: self.y = 0 else: x = 4 [out] MypyFile:1( ClassDef:2( C FuncDef:3( m1 Args( Var(self)) Block:4( ForStmt:4( NameExpr(x) NameExpr(y) Block:5( AssignmentStmt:5( MemberExpr:5( NameExpr(self) x) IntExpr(0)))))) FuncDef:6( m2 Args( Var(self)) Block:7( WithStmt:7( Expr( NameExpr(x)) Block:8( AssignmentStmt:8( MemberExpr:8( NameExpr(self) y) IntExpr(0)))))) FuncDef:9( m3 Args( Var(self)) Block:10( IfStmt:10( If( NameExpr(x)) Then( AssignmentStmt:11( MemberExpr:11( NameExpr(self) y) IntExpr(0))) Else( AssignmentStmt:13( NameExpr(x) IntExpr(4)))))))) [case testDoNotStripMethodThatDefinesAttributeWithoutAssignment] # mypy: ignore-errors=True class C: def m1(self): with y as self.x: pass def m2(self): for self.y in x: pass [out] MypyFile:1( ClassDef:2( C FuncDef:3( m1 Args( Var(self)) Block:4( WithStmt:4( Expr( NameExpr(y)) Target( MemberExpr:4( NameExpr(self) x)) Block:5( PassStmt:5())))) FuncDef:6( m2 Args( Var(self)) Block:7( ForStmt:7( MemberExpr:7( NameExpr(self) y) NameExpr(x) Block:8( PassStmt:8())))))) [case testStripDecoratedFunctionOrMethod] # mypy: ignore-errors=True @deco def f(): x = 0 class C: @deco def m1(self): x = 0 @deco def m2(self): self.x = 0 [out] MypyFile:1( Decorator:2( Var(f) NameExpr(deco) FuncDef:3( f Block:4())) ClassDef:6( C Decorator:7( Var(m1) NameExpr(deco) FuncDef:8( m1 Args( Var(self)) Block:9())) Decorator:11( Var(m2) NameExpr(deco) FuncDef:12( m2 Args( Var(self)) Block:13( AssignmentStmt:13( MemberExpr:13( NameExpr(self) x) IntExpr(0))))))) [case testStripOverloadedMethod] # mypy: ignore-errors=True class C: @overload def m1(self, x: int) -> None: ... @overload def m1(self, x: str) -> None: ... def m1(self, x): x = 0 @overload def m2(self, x: int) -> None: ... @overload def m2(self, x: str) -> None: ... def m2(self, x): self.x = 0 [out] MypyFile:1( ClassDef:2( C OverloadedFuncDef:3( Decorator:3( Var(m1) NameExpr(overload) FuncDef:4( m1 Args( Var(self) Var(x)) def (self: Any, x: int?) -> None? Block:4( ExpressionStmt:4( Ellipsis)))) Decorator:5( Var(m1) NameExpr(overload) FuncDef:6( m1 Args( Var(self) Var(x)) def (self: Any, x: str?) -> None? Block:6( ExpressionStmt:6( Ellipsis)))) FuncDef:7( m1 Args( Var(self) Var(x)) Block:8())) OverloadedFuncDef:10( Decorator:10( Var(m2) NameExpr(overload) FuncDef:11( m2 Args( Var(self) Var(x)) def (self: Any, x: int?) -> None? Block:11( ExpressionStmt:11( Ellipsis)))) Decorator:12( Var(m2) NameExpr(overload) FuncDef:13( m2 Args( Var(self) Var(x)) def (self: Any, x: str?) -> None? Block:13( ExpressionStmt:13( Ellipsis)))) FuncDef:14( m2 Args( Var(self) Var(x)) Block:15( AssignmentStmt:15( MemberExpr:15( NameExpr(self) x) IntExpr(0))))))) [case testStripMethodInNestedClass] # mypy: ignore-errors=True class C: class D: def m1(self): self.x = 1 def m2(self): return self.x [out] MypyFile:1( ClassDef:2( C ClassDef:3( D FuncDef:4( m1 Args( Var(self)) Block:5( AssignmentStmt:5( MemberExpr:5( NameExpr(self) x) IntExpr(1)))) FuncDef:6( m2 Args( Var(self)) Block:7())))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/pep561.test0000644000175100017510000001721515112307767017053 0ustar00runnerrunner[case testTypedPkgNoSitePkgsIgnoredImports] # pkgs: typedpkg # flags: --no-site-packages from typedpkg.sample import ex from typedpkg import dne a = ex(['']) reveal_type(a) [file mypy.ini] \[mypy] ignore_missing_imports = True [out] testTypedPkgNoSitePkgsIgnoredImports.py:6: note: Revealed type is "Any" [case testTypedPkgSimple] # pkgs: typedpkg from typedpkg.sample import ex from typedpkg import dne a = ex(['']) reveal_type(a) [out] testTypedPkgSimple.py:5: note: Revealed type is "builtins.tuple[builtins.str, ...]" [case testTypedPkgSimplePackageSearchPath] # pkgs: typedpkg # flags: -p typedpkg.pkg [out] [case testTypedPkg_config_nositepackages] # pkgs: typedpkg from typedpkg.sample import ex from typedpkg import dne a = ex(['']) reveal_type(a) [file mypy.ini] \[mypy] no_site_packages=True [out] testTypedPkg_config_nositepackages.py:2: error: Cannot find implementation or library stub for module named "typedpkg.sample" testTypedPkg_config_nositepackages.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports testTypedPkg_config_nositepackages.py:3: error: Cannot find implementation or library stub for module named "typedpkg" testTypedPkg_config_nositepackages.py:5: note: Revealed type is "Any" [case testTypedPkg_args_nositepackages] # pkgs: typedpkg # flags: --no-site-packages from typedpkg.sample import ex from typedpkg import dne a = ex(['']) reveal_type(a) [out] testTypedPkg_args_nositepackages.py:3: error: Cannot find implementation or library stub for module named "typedpkg.sample" testTypedPkg_args_nositepackages.py:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports testTypedPkg_args_nositepackages.py:4: error: Cannot find implementation or library stub for module named "typedpkg" testTypedPkg_args_nositepackages.py:6: note: Revealed type is "Any" [case testTypedPkgStubs] # pkgs: typedpkg-stubs from typedpkg.sample import ex from typedpkg import dne a = ex(['']) reveal_type(a) [out] testTypedPkgStubs.py:3: error: Module "typedpkg" has no attribute "dne" testTypedPkgStubs.py:5: note: Revealed type is "builtins.list[builtins.str]" [case testStubPrecedence] # pkgs: typedpkg, typedpkg-stubs from typedpkg.sample import ex from typedpkg import dne a = ex(['']) reveal_type(a) [out] testStubPrecedence.py:5: note: Revealed type is "builtins.list[builtins.str]" [case testTypedPkgSimpleEditable] # pkgs: typedpkg; editable from typedpkg.sample import ex from typedpkg import dne a = ex(['']) reveal_type(a) [out] testTypedPkgSimpleEditable.py:5: note: Revealed type is "builtins.tuple[builtins.str, ...]" [case testTypedPkgNamespaceImportFrom] # pkgs: typedpkg, typedpkg_ns_a from typedpkg.pkg.aaa import af from typedpkg_ns.a.bbb import bf from typedpkg_ns.a.dne import dne af("abc") bf(False) dne(123) af(False) bf(2) dne("abc") [out] testTypedPkgNamespaceImportFrom.py:4: error: Cannot find implementation or library stub for module named "typedpkg_ns.a.dne" testTypedPkgNamespaceImportFrom.py:4: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports testTypedPkgNamespaceImportFrom.py:10: error: Argument 1 to "af" has incompatible type "bool"; expected "str" testTypedPkgNamespaceImportFrom.py:11: error: Argument 1 to "bf" has incompatible type "int"; expected "bool" [case testTypedPkgNamespaceImportAs] # pkgs: typedpkg, typedpkg_ns_a import typedpkg.pkg.aaa as nm; af = nm.af import typedpkg_ns.a.bbb as am; bf = am.bf from typedpkg_ns.a.dne import dne af("abc") bf(False) dne(123) af(False) bf(2) dne("abc") [out] testTypedPkgNamespaceImportAs.py:4: error: Cannot find implementation or library stub for module named "typedpkg_ns.a.dne" testTypedPkgNamespaceImportAs.py:4: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports testTypedPkgNamespaceImportAs.py:10: error: Argument 1 has incompatible type "bool"; expected "str" testTypedPkgNamespaceImportAs.py:11: error: Argument 1 has incompatible type "int"; expected "bool" [case testTypedPkgNamespaceRegImport] # pkgs: typedpkg, typedpkg_ns_a import typedpkg.pkg.aaa; af = typedpkg.pkg.aaa.af import typedpkg_ns.a.bbb; bf = typedpkg_ns.a.bbb.bf from typedpkg_ns.a.dne import dne af("abc") bf(False) dne(123) af(False) bf(2) dne("abc") [out] testTypedPkgNamespaceRegImport.py:4: error: Cannot find implementation or library stub for module named "typedpkg_ns.a.dne" testTypedPkgNamespaceRegImport.py:4: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports testTypedPkgNamespaceRegImport.py:10: error: Argument 1 has incompatible type "bool"; expected "str" testTypedPkgNamespaceRegImport.py:11: error: Argument 1 has incompatible type "int"; expected "bool" -- This is really testing the test framework to make sure incremental works [case testPep561TestIncremental] # pkgs: typedpkg import a [file a.py] [file a.py.2] 1 + 'no' [out] [out2] a.py:1: error: Unsupported operand types for + ("int" and "str") [case testTypedPkgNamespaceRegFromImportTwice] # pkgs: typedpkg_ns_a from typedpkg_ns import a -- dummy should trigger a second iteration [file dummy.py.2] [out] [out2] [case testNamespacePkgWStubs] # pkgs: typedpkg_ns_a, typedpkg_ns_b, typedpkg_ns_b-stubs # flags: --no-namespace-packages import typedpkg_ns.a.bbb as a import typedpkg_ns.b.bbb as b a.bf(False) b.bf(False) a.bf(1) b.bf(1) import typedpkg_ns.whatever as c # type: ignore[import-untyped] [out] testNamespacePkgWStubs.py:4: error: Skipping analyzing "typedpkg_ns.b.bbb": module is installed, but missing library stubs or py.typed marker testNamespacePkgWStubs.py:4: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports testNamespacePkgWStubs.py:4: error: Skipping analyzing "typedpkg_ns.b": module is installed, but missing library stubs or py.typed marker testNamespacePkgWStubs.py:7: error: Argument 1 to "bf" has incompatible type "int"; expected "bool" [case testNamespacePkgWStubsWithNamespacePackagesFlag] # pkgs: typedpkg_ns_a, typedpkg_ns_b, typedpkg_ns_b-stubs # flags: --namespace-packages import typedpkg_ns.a.bbb as a import typedpkg_ns.b.bbb as b a.bf(False) b.bf(False) a.bf(1) b.bf(1) [out] testNamespacePkgWStubsWithNamespacePackagesFlag.py:7: error: Argument 1 to "bf" has incompatible type "int"; expected "bool" testNamespacePkgWStubsWithNamespacePackagesFlag.py:8: error: Argument 1 to "bf" has incompatible type "int"; expected "bool" [case testMissingPytypedFlag] # pkgs: typedpkg_ns_b # flags: --namespace-packages --follow-untyped-imports import typedpkg_ns.b.bbb as b b.bf("foo", "bar") [out] testMissingPytypedFlag.py:4: error: Too many arguments for "bf" [case testTypedPkgNamespaceRegFromImportTwiceMissing] # pkgs: typedpkg_ns_a from typedpkg_ns import does_not_exist # type: ignore from typedpkg_ns import a -- dummy should trigger a second iteration [file dummy.py.2] [out] [out2] [case testTypedPkgNamespaceRegFromImportTwiceMissing2] # pkgs: typedpkg_ns_a from typedpkg_ns import does_not_exist # type: ignore from typedpkg_ns.a.bbb import bf -- dummy should trigger a second iteration [file dummy.py.2] [out] [out2] [case testTypedNamespaceSubpackage] # pkgs: typedpkg_ns_nested import our [file our/__init__.py] import our.bar import our.foo [file our/bar.py] from typedpkg_ns.b import Something [file our/foo.py] import typedpkg_ns.a [file dummy.py.2] [out] our/bar.py:1: error: Skipping analyzing "typedpkg_ns.b": module is installed, but missing library stubs or py.typed marker our/bar.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [out2] our/bar.py:1: error: Skipping analyzing "typedpkg_ns.b": module is installed, but missing library stubs or py.typed marker our/bar.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1764331529.7537668 mypy-1.19.0/test-data/unit/plugins/0000755000175100017510000000000015112310012016556 5ustar00runnerrunner././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/add_classmethod.py0000644000175100017510000000160615112307767022300 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.nodes import ARG_POS, Argument, Var from mypy.plugin import ClassDefContext, Plugin from mypy.plugins.common import add_method from mypy.types import NoneType class ClassMethodPlugin(Plugin): def get_base_class_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: if "BaseAddMethod" in fullname: return add_extra_methods_hook return None def add_extra_methods_hook(ctx: ClassDefContext) -> None: add_method(ctx, "foo_classmethod", [], NoneType(), is_classmethod=True) add_method( ctx, "foo_staticmethod", [Argument(Var(""), ctx.api.named_type("builtins.int"), None, ARG_POS)], ctx.api.named_type("builtins.str"), is_staticmethod=True, ) def plugin(version: str) -> type[ClassMethodPlugin]: return ClassMethodPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/add_method.py0000644000175100017510000000122615112307767021250 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import ClassDefContext, Plugin from mypy.plugins.common import add_method from mypy.types import NoneType class AddOverrideMethodPlugin(Plugin): def get_class_decorator_hook_2(self, fullname: str) -> Callable[[ClassDefContext], bool] | None: if fullname == "__main__.inject_foo": return add_extra_methods_hook return None def add_extra_methods_hook(ctx: ClassDefContext) -> bool: add_method(ctx, "foo_implicit", [], NoneType()) return True def plugin(version: str) -> type[AddOverrideMethodPlugin]: return AddOverrideMethodPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/add_overloaded_method.py0000644000175100017510000000264715112307767023464 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.nodes import ARG_POS, Argument, Var from mypy.plugin import ClassDefContext, Plugin from mypy.plugins.common import MethodSpec, add_overloaded_method_to_class class OverloadedMethodPlugin(Plugin): def get_base_class_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: if "AddOverloadedMethod" in fullname: return add_overloaded_method_hook return None def add_overloaded_method_hook(ctx: ClassDefContext) -> None: add_overloaded_method_to_class(ctx.api, ctx.cls, "method", _generate_method_specs(ctx)) add_overloaded_method_to_class( ctx.api, ctx.cls, "clsmethod", _generate_method_specs(ctx), is_classmethod=True ) add_overloaded_method_to_class( ctx.api, ctx.cls, "stmethod", _generate_method_specs(ctx), is_staticmethod=True ) def _generate_method_specs(ctx: ClassDefContext) -> list[MethodSpec]: return [ MethodSpec( args=[Argument(Var("arg"), ctx.api.named_type("builtins.int"), None, ARG_POS)], return_type=ctx.api.named_type("builtins.str"), ), MethodSpec( args=[Argument(Var("arg"), ctx.api.named_type("builtins.str"), None, ARG_POS)], return_type=ctx.api.named_type("builtins.int"), ), ] def plugin(version: str) -> type[OverloadedMethodPlugin]: return OverloadedMethodPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/arg_kinds.py0000644000175100017510000000200115112307767021111 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import FunctionContext, MethodContext, Plugin from mypy.types import Type class ArgKindsPlugin(Plugin): def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if "func" in fullname: return extract_arg_kinds_from_function return None def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: if "Class.method" in fullname: return extract_arg_kinds_from_method return None def extract_arg_kinds_from_function(ctx: FunctionContext) -> Type: ctx.api.fail(str([[x.value for x in y] for y in ctx.arg_kinds]), ctx.context) return ctx.default_return_type def extract_arg_kinds_from_method(ctx: MethodContext) -> Type: ctx.api.fail(str([[x.value for x in y] for y in ctx.arg_kinds]), ctx.context) return ctx.default_return_type def plugin(version: str) -> type[ArgKindsPlugin]: return ArgKindsPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/arg_names.py0000644000175100017510000000326115112307767021115 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.nodes import StrExpr from mypy.plugin import FunctionContext, MethodContext, Plugin from mypy.types import Type class ArgNamesPlugin(Plugin): def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname in { "mod.func", "mod.func_unfilled", "mod.func_star_expr", "mod.ClassInit", "mod.Outer.NestedClassInit", }: return extract_classname_and_set_as_return_type_function return None def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: if fullname in { "mod.Class.method", "mod.Class.myclassmethod", "mod.Class.mystaticmethod", "mod.ClassUnfilled.method", "mod.ClassStarExpr.method", "mod.ClassChild.method", "mod.ClassChild.myclassmethod", }: return extract_classname_and_set_as_return_type_method return None def extract_classname_and_set_as_return_type_function(ctx: FunctionContext) -> Type: arg = ctx.args[ctx.callee_arg_names.index("classname")][0] if not isinstance(arg, StrExpr): return ctx.default_return_type return ctx.api.named_generic_type(arg.value, []) def extract_classname_and_set_as_return_type_method(ctx: MethodContext) -> Type: arg = ctx.args[ctx.callee_arg_names.index("classname")][0] if not isinstance(arg, StrExpr): return ctx.default_return_type return ctx.api.named_generic_type(arg.value, []) def plugin(version: str) -> type[ArgNamesPlugin]: return ArgNamesPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/attrhook.py0000644000175100017510000000114315112307767021011 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import AttributeContext, Plugin from mypy.types import Instance, Type class AttrPlugin(Plugin): def get_attribute_hook(self, fullname: str) -> Callable[[AttributeContext], Type] | None: if fullname == "m.Signal.__call__": return signal_call_callback return None def signal_call_callback(ctx: AttributeContext) -> Type: if isinstance(ctx.type, Instance): return ctx.type.args[0] return ctx.default_attr_type def plugin(version: str) -> type[AttrPlugin]: return AttrPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/attrhook2.py0000644000175100017510000000221515112307767021074 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import AttributeContext, Plugin from mypy.types import AnyType, Type, TypeOfAny class AttrPlugin(Plugin): def get_attribute_hook(self, fullname: str) -> Callable[[AttributeContext], Type] | None: if fullname == "m.Magic.magic_field": return magic_field_callback if fullname == "m.Magic.nonexistent_field": return nonexistent_field_callback if fullname == "m.Magic.no_assignment_field": return no_assignment_field_callback return None def magic_field_callback(ctx: AttributeContext) -> Type: return ctx.api.named_generic_type("builtins.str", []) def nonexistent_field_callback(ctx: AttributeContext) -> Type: ctx.api.fail("Field does not exist", ctx.context) return AnyType(TypeOfAny.from_error) def no_assignment_field_callback(ctx: AttributeContext) -> Type: if ctx.is_lvalue: ctx.api.fail(f"Cannot assign to field", ctx.context) return AnyType(TypeOfAny.from_error) return ctx.default_attr_type def plugin(version: str) -> type[AttrPlugin]: return AttrPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/badreturn.py0000644000175100017510000000005315112307767021143 0ustar00runnerrunnerdef plugin(version: str) -> None: pass ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/badreturn2.py0000644000175100017510000000020015112307767021217 0ustar00runnerrunnerfrom __future__ import annotations class MyPlugin: pass def plugin(version: str) -> type[MyPlugin]: return MyPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/callable_instance.py0000644000175100017510000000152415112307767022604 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import MethodContext, Plugin from mypy.types import Instance, Type class CallableInstancePlugin(Plugin): def get_function_hook(self, fullname: str) -> None: assert not fullname.endswith(" of Foo") def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: # Ensure that all names are fully qualified assert not fullname.endswith(" of Foo") if fullname == "__main__.Class.__call__": return my_hook return None def my_hook(ctx: MethodContext) -> Type: if isinstance(ctx.type, Instance) and len(ctx.type.args) == 1: return ctx.type.args[0] return ctx.default_return_type def plugin(version: str) -> type[CallableInstancePlugin]: return CallableInstancePlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/class_attr_hook.py0000644000175100017510000000111115112307767022330 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import AttributeContext, Plugin from mypy.types import Type as MypyType class ClassAttrPlugin(Plugin): def get_class_attribute_hook( self, fullname: str ) -> Callable[[AttributeContext], MypyType] | None: if fullname == "__main__.Cls.attr": return my_hook return None def my_hook(ctx: AttributeContext) -> MypyType: return ctx.api.named_generic_type("builtins.int", []) def plugin(_version: str) -> type[ClassAttrPlugin]: return ClassAttrPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/class_callable.py0000644000175100017510000000241015112307767022100 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.nodes import NameExpr from mypy.plugin import FunctionContext, Plugin from mypy.types import Instance, NoneType, Type, UnionType, get_proper_type class AttrPlugin(Plugin): def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname.startswith("mod.Attr"): return attr_hook return None def attr_hook(ctx: FunctionContext) -> Type: default = get_proper_type(ctx.default_return_type) assert isinstance(default, Instance) if default.type.fullname == "mod.Attr": attr_base = default else: attr_base = None for base in default.type.bases: if base.type.fullname == "mod.Attr": attr_base = base break assert attr_base is not None last_arg_exprs = ctx.args[-1] if any(isinstance(expr, NameExpr) and expr.name == "True" for expr in last_arg_exprs): return attr_base assert len(attr_base.args) == 1 arg_type = attr_base.args[0] return Instance( attr_base.type, [UnionType([arg_type, NoneType()])], line=default.line, column=default.column, ) def plugin(version: str) -> type[AttrPlugin]: return AttrPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/common_api_incremental.py0000644000175100017510000000311515112307767023661 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.nodes import GDEF, MDEF, Block, ClassDef, SymbolTable, SymbolTableNode, TypeInfo, Var from mypy.plugin import ClassDefContext, DynamicClassDefContext, Plugin class DynPlugin(Plugin): def get_dynamic_class_hook( self, fullname: str ) -> Callable[[DynamicClassDefContext], None] | None: if fullname == "lib.declarative_base": return add_info_hook return None def get_base_class_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: sym = self.lookup_fully_qualified(fullname) if sym and isinstance(sym.node, TypeInfo): if sym.node.metadata.get("magic"): return add_magic_hook return None def add_info_hook(ctx: DynamicClassDefContext) -> None: class_def = ClassDef(ctx.name, Block([])) class_def.fullname = ctx.api.qualified_name(ctx.name) info = TypeInfo(SymbolTable(), class_def, ctx.api.cur_mod_id) class_def.info = info obj = ctx.api.named_type("builtins.object", []) info.mro = [info, obj.type] info.bases = [obj] ctx.api.add_symbol_table_node(ctx.name, SymbolTableNode(GDEF, info)) info.metadata["magic"] = {"value": True} def add_magic_hook(ctx: ClassDefContext) -> None: info = ctx.cls.info str_type = ctx.api.named_type_or_none("builtins.str", []) assert str_type is not None var = Var("__magic__", str_type) var.info = info info.names["__magic__"] = SymbolTableNode(MDEF, var) def plugin(version: str) -> type[DynPlugin]: return DynPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/config_data.py0000644000175100017510000000071015112307767021413 0ustar00runnerrunnerfrom __future__ import annotations import json import os from typing import Any from mypy.plugin import Plugin, ReportConfigContext class ConfigDataPlugin(Plugin): def report_config_data(self, ctx: ReportConfigContext) -> Any: path = os.path.join("tmp/test.json") with open(path) as f: data = json.load(f) return data.get(ctx.id) def plugin(version: str) -> type[ConfigDataPlugin]: return ConfigDataPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/custom_errorcode.py0000644000175100017510000000137315112307767022541 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.errorcodes import ErrorCode from mypy.plugin import FunctionContext, Plugin from mypy.types import AnyType, Type, TypeOfAny CUSTOM_ERROR = ErrorCode(code="custom", description="", category="Custom") class CustomErrorCodePlugin(Plugin): def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname.endswith(".main"): return self.emit_error return None def emit_error(self, ctx: FunctionContext) -> Type: ctx.api.fail("Custom error", ctx.context, code=CUSTOM_ERROR) return AnyType(TypeOfAny.from_error) def plugin(version: str) -> type[CustomErrorCodePlugin]: return CustomErrorCodePlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/customentry.py0000644000175100017510000000103215112307767021547 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import FunctionContext, Plugin from mypy.types import Type class MyPlugin(Plugin): def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname == "__main__.f": return my_hook assert fullname return None def my_hook(ctx: FunctionContext) -> Type: return ctx.api.named_generic_type("builtins.int", []) def register(version: str) -> type[MyPlugin]: return MyPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/customize_mro.py0000644000175100017510000000063315112307767022060 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import ClassDefContext, Plugin class DummyPlugin(Plugin): def get_customize_class_mro_hook(self, fullname: str) -> Callable[[ClassDefContext], None]: def analyze(classdef_ctx: ClassDefContext) -> None: pass return analyze def plugin(version: str) -> type[DummyPlugin]: return DummyPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/decimal_to_int.py0000644000175100017510000000107015112307767022127 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import AnalyzeTypeContext, Plugin from mypy.types import Type class MyPlugin(Plugin): def get_type_analyze_hook(self, fullname: str) -> Callable[[AnalyzeTypeContext], Type] | None: if fullname in ("decimal.Decimal", "_decimal.Decimal"): return decimal_to_int_hook return None def decimal_to_int_hook(ctx: AnalyzeTypeContext) -> Type: return ctx.api.named_type("builtins.int", []) def plugin(version: str) -> type[MyPlugin]: return MyPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/depshook.py0000644000175100017510000000056515112307767021001 0ustar00runnerrunnerfrom __future__ import annotations from mypy.nodes import MypyFile from mypy.plugin import Plugin class DepsPlugin(Plugin): def get_additional_deps(self, file: MypyFile) -> list[tuple[int, str, int]]: if file.fullname == "__main__": return [(10, "err", -1)] return [] def plugin(version: str) -> type[DepsPlugin]: return DepsPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/descriptor.py0000644000175100017510000000251015112307767021333 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import MethodContext, MethodSigContext, Plugin from mypy.types import CallableType, NoneType, Type, get_proper_type class DescriptorPlugin(Plugin): def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: if fullname == "__main__.Desc.__get__": return get_hook return None def get_method_signature_hook( self, fullname: str ) -> Callable[[MethodSigContext], CallableType] | None: if fullname == "__main__.Desc.__set__": return set_hook return None def get_hook(ctx: MethodContext) -> Type: arg = get_proper_type(ctx.arg_types[0][0]) if isinstance(arg, NoneType): return ctx.api.named_generic_type("builtins.str", []) return ctx.api.named_generic_type("builtins.int", []) def set_hook(ctx: MethodSigContext) -> CallableType: return CallableType( [ ctx.api.named_generic_type("__main__.Cls", []), ctx.api.named_generic_type("builtins.int", []), ], ctx.default_signature.arg_kinds, ctx.default_signature.arg_names, ctx.default_signature.ret_type, ctx.default_signature.fallback, ) def plugin(version: str) -> type[DescriptorPlugin]: return DescriptorPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/dyn_class.py0000644000175100017510000000363415112307767021144 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.nodes import GDEF, Block, ClassDef, SymbolTable, SymbolTableNode, TypeInfo, Var from mypy.plugin import ClassDefContext, DynamicClassDefContext, Plugin from mypy.types import Instance, get_proper_type DECL_BASES: set[str] = set() class DynPlugin(Plugin): def get_dynamic_class_hook( self, fullname: str ) -> Callable[[DynamicClassDefContext], None] | None: if fullname == "mod.declarative_base": return add_info_hook return None def get_base_class_hook(self, fullname: str) -> Callable[[ClassDefContext], None] | None: if fullname in DECL_BASES: return replace_col_hook return None def add_info_hook(ctx: DynamicClassDefContext) -> None: class_def = ClassDef(ctx.name, Block([])) class_def.fullname = ctx.api.qualified_name(ctx.name) info = TypeInfo(SymbolTable(), class_def, ctx.api.cur_mod_id) class_def.info = info obj = ctx.api.named_type("builtins.object") info.mro = [info, obj.type] info.bases = [obj] ctx.api.add_symbol_table_node(ctx.name, SymbolTableNode(GDEF, info)) DECL_BASES.add(class_def.fullname) def replace_col_hook(ctx: ClassDefContext) -> None: info = ctx.cls.info for sym in info.names.values(): node = sym.node if isinstance(node, Var) and isinstance( (node_type := get_proper_type(node.type)), Instance ): if node_type.type.fullname == "mod.Column": new_sym = ctx.api.lookup_fully_qualified_or_none("mod.Instr") if new_sym: new_info = new_sym.node assert isinstance(new_info, TypeInfo) node.type = Instance( new_info, node_type.args, node_type.line, node_type.column ) def plugin(version: str) -> type[DynPlugin]: return DynPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/dyn_class_from_method.py0000644000175100017510000000501615112307767023523 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.nodes import ( GDEF, Block, ClassDef, IndexExpr, MemberExpr, NameExpr, RefExpr, SymbolTable, SymbolTableNode, TypeApplication, TypeInfo, ) from mypy.plugin import DynamicClassDefContext, Plugin from mypy.types import Instance class DynPlugin(Plugin): def get_dynamic_class_hook( self, fullname: str ) -> Callable[[DynamicClassDefContext], None] | None: if "from_queryset" in fullname: return add_info_hook if "as_manager" in fullname: return as_manager_hook return None def add_info_hook(ctx: DynamicClassDefContext) -> None: class_def = ClassDef(ctx.name, Block([])) class_def.fullname = ctx.api.qualified_name(ctx.name) info = TypeInfo(SymbolTable(), class_def, ctx.api.cur_mod_id) class_def.info = info assert isinstance(ctx.call.args[0], RefExpr) queryset_type_fullname = ctx.call.args[0].fullname queryset_node = ctx.api.lookup_fully_qualified_or_none(queryset_type_fullname) assert queryset_node is not None queryset_info = queryset_node.node assert isinstance(queryset_info, TypeInfo) obj = ctx.api.named_type("builtins.object") info.mro = [info, queryset_info, obj.type] info.bases = [Instance(queryset_info, [])] ctx.api.add_symbol_table_node(ctx.name, SymbolTableNode(GDEF, info)) def as_manager_hook(ctx: DynamicClassDefContext) -> None: class_def = ClassDef(ctx.name, Block([])) class_def.fullname = ctx.api.qualified_name(ctx.name) info = TypeInfo(SymbolTable(), class_def, ctx.api.cur_mod_id) class_def.info = info assert isinstance(ctx.call.callee, MemberExpr) assert isinstance(ctx.call.callee.expr, IndexExpr) assert isinstance(ctx.call.callee.expr.analyzed, TypeApplication) assert isinstance(ctx.call.callee.expr.analyzed.expr, NameExpr) queryset_type_fullname = ctx.call.callee.expr.analyzed.expr.fullname queryset_node = ctx.api.lookup_fully_qualified_or_none(queryset_type_fullname) assert queryset_node is not None queryset_info = queryset_node.node assert isinstance(queryset_info, TypeInfo) parameter_type = ctx.call.callee.expr.analyzed.types[0] obj = ctx.api.named_type("builtins.object") info.mro = [info, queryset_info, obj.type] info.bases = [Instance(queryset_info, [parameter_type])] ctx.api.add_symbol_table_node(ctx.name, SymbolTableNode(GDEF, info)) def plugin(version: str) -> type[DynPlugin]: return DynPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/fnplugin.py0000644000175100017510000000104415112307767021000 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import FunctionContext, Plugin from mypy.types import Type class MyPlugin(Plugin): def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname == "__main__.f": return my_hook assert fullname is not None return None def my_hook(ctx: FunctionContext) -> Type: return ctx.api.named_generic_type("builtins.int", []) def plugin(version: str) -> type[MyPlugin]: return MyPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/fully_qualified_test_hook.py0000644000175100017510000000146315112307767024420 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import MethodSigContext, Plugin from mypy.types import CallableType class FullyQualifiedTestPlugin(Plugin): def get_method_signature_hook( self, fullname: str ) -> Callable[[MethodSigContext], CallableType] | None: # Ensure that all names are fully qualified if "FullyQualifiedTest" in fullname: assert fullname.startswith("__main__.") and " of " not in fullname, fullname return my_hook return None def my_hook(ctx: MethodSigContext) -> CallableType: return ctx.default_signature.copy_modified( ret_type=ctx.api.named_generic_type("builtins.int", []) ) def plugin(version: str) -> type[FullyQualifiedTestPlugin]: return FullyQualifiedTestPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/function_sig_hook.py0000644000175100017510000000143315112307767022667 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import FunctionSigContext, Plugin from mypy.types import CallableType class FunctionSigPlugin(Plugin): def get_function_signature_hook( self, fullname: str ) -> Callable[[FunctionSigContext], CallableType] | None: if fullname == "__main__.dynamic_signature": return my_hook return None def my_hook(ctx: FunctionSigContext) -> CallableType: arg1_args = ctx.args[0] if len(arg1_args) != 1: return ctx.default_signature arg1_type = ctx.api.get_expression_type(arg1_args[0]) return ctx.default_signature.copy_modified(arg_types=[arg1_type], ret_type=arg1_type) def plugin(version: str) -> type[FunctionSigPlugin]: return FunctionSigPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/magic_method.py0000644000175100017510000000152315112307767021600 0ustar00runnerrunnerfrom mypy.types import LiteralType, AnyType, TypeOfAny, Type from mypy.plugin import Plugin, MethodContext from typing import Callable, Optional # If radd exists, there shouldn't be an error. If it doesn't exist, then there will be an error def type_add(ctx: MethodContext) -> Type: ctx.api.fail("fail", ctx.context) return AnyType(TypeOfAny.from_error) def type_radd(ctx: MethodContext) -> Type: return LiteralType(7, fallback=ctx.api.named_generic_type('builtins.int', [])) class TestPlugin(Plugin): def get_method_hook(self, fullname: str) -> Optional[Callable[[MethodContext], Type]]: if fullname == 'builtins.int.__add__': return type_add if fullname == 'builtins.int.__radd__': return type_radd return None def plugin(version: str) -> type[TestPlugin]: return TestPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/method_in_decorator.py0000644000175100017510000000144115112307767023167 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import MethodContext, Plugin from mypy.types import CallableType, Type, get_proper_type class MethodDecoratorPlugin(Plugin): def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: if "Foo.a" in fullname: return method_decorator_callback return None def method_decorator_callback(ctx: MethodContext) -> Type: default = get_proper_type(ctx.default_return_type) if isinstance(default, CallableType): str_type = ctx.api.named_generic_type("builtins.str", []) return default.copy_modified(ret_type=str_type) return ctx.default_return_type def plugin(version: str) -> type[MethodDecoratorPlugin]: return MethodDecoratorPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/method_sig_hook.py0000644000175100017510000000236615112307767022330 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import CheckerPluginInterface, MethodSigContext, Plugin from mypy.types import CallableType, Instance, Type, get_proper_type class MethodSigPlugin(Plugin): def get_method_signature_hook( self, fullname: str ) -> Callable[[MethodSigContext], CallableType] | None: # Ensure that all names are fully qualified assert not fullname.endswith(" of Foo") if fullname.startswith("__main__.Foo."): return my_hook return None def _str_to_int(api: CheckerPluginInterface, typ: Type) -> Type: typ = get_proper_type(typ) if isinstance(typ, Instance): if typ.type.fullname == "builtins.str": return api.named_generic_type("builtins.int", []) elif typ.args: return typ.copy_modified(args=[_str_to_int(api, t) for t in typ.args]) return typ def my_hook(ctx: MethodSigContext) -> CallableType: return ctx.default_signature.copy_modified( arg_types=[_str_to_int(ctx.api, t) for t in ctx.default_signature.arg_types], ret_type=_str_to_int(ctx.api, ctx.default_signature.ret_type), ) def plugin(version: str) -> type[MethodSigPlugin]: return MethodSigPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/named_callable.py0000644000175100017510000000211215112307767022056 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import FunctionContext, Plugin from mypy.types import CallableType, Type, get_proper_type class MyPlugin(Plugin): def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname == "m.decorator1": return decorator_call_hook if fullname == "m._decorated": # This is a dummy name generated by the plugin return decorate_hook return None def decorator_call_hook(ctx: FunctionContext) -> Type: default = get_proper_type(ctx.default_return_type) if isinstance(default, CallableType): return default.copy_modified(name="m._decorated") return ctx.default_return_type def decorate_hook(ctx: FunctionContext) -> Type: default = get_proper_type(ctx.default_return_type) if isinstance(default, CallableType): return default.copy_modified(ret_type=ctx.api.named_generic_type("builtins.str", [])) return ctx.default_return_type def plugin(version: str) -> type[MyPlugin]: return MyPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/noentry.py0000644000175100017510000000001715112307767020653 0ustar00runnerrunner# empty plugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/plugin2.py0000644000175100017510000000101715112307767020536 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import FunctionContext, Plugin from mypy.types import Type class Plugin2(Plugin): def get_function_hook(self, fullname: str) -> Callable[[FunctionContext], Type] | None: if fullname in ("__main__.f", "__main__.g"): return str_hook return None def str_hook(ctx: FunctionContext) -> Type: return ctx.api.named_generic_type("builtins.str", []) def plugin(version: str) -> type[Plugin2]: return Plugin2 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/type_anal_hook.py0000644000175100017510000000263415112307767022160 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import AnalyzeTypeContext, Plugin # The official name changed to NoneType but we have an alias for plugin compat reasons # so we'll keep testing that here. from mypy.types import AnyType, CallableType, NoneTyp, Type, TypeList, TypeOfAny class TypeAnalyzePlugin(Plugin): def get_type_analyze_hook(self, fullname: str) -> Callable[[AnalyzeTypeContext], Type] | None: if fullname == "m.Signal": return signal_type_analyze_callback return None def signal_type_analyze_callback(ctx: AnalyzeTypeContext) -> Type: if len(ctx.type.args) != 1 or not isinstance(ctx.type.args[0], TypeList): ctx.api.fail('Invalid "Signal" type (expected "Signal[[t, ...]]")', ctx.context) return AnyType(TypeOfAny.from_error) args = ctx.type.args[0] assert isinstance(args, TypeList) analyzed = ctx.api.analyze_callable_args(args) if analyzed is None: return AnyType(TypeOfAny.from_error) # Error generated elsewhere arg_types, arg_kinds, arg_names = analyzed arg_types = [ctx.api.analyze_type(arg) for arg in arg_types] type_arg = CallableType( arg_types, arg_kinds, arg_names, NoneTyp(), ctx.api.named_type("builtins.function", []) ) return ctx.api.named_type("m.Signal", [type_arg]) def plugin(version: str) -> type[TypeAnalyzePlugin]: return TypeAnalyzePlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/plugins/union_method.py0000644000175100017510000000350115112307767021646 0ustar00runnerrunnerfrom __future__ import annotations from typing import Callable from mypy.plugin import CheckerPluginInterface, MethodContext, MethodSigContext, Plugin from mypy.types import CallableType, Instance, Type, get_proper_type class MethodPlugin(Plugin): def get_method_signature_hook( self, fullname: str ) -> Callable[[MethodSigContext], CallableType] | None: if fullname.startswith("__main__.Foo."): return my_meth_sig_hook return None def get_method_hook(self, fullname: str) -> Callable[[MethodContext], Type] | None: if fullname.startswith("__main__.Bar."): return my_meth_hook return None def _str_to_int(api: CheckerPluginInterface, typ: Type) -> Type: typ = get_proper_type(typ) if isinstance(typ, Instance): if typ.type.fullname == "builtins.str": return api.named_generic_type("builtins.int", []) elif typ.args: return typ.copy_modified(args=[_str_to_int(api, t) for t in typ.args]) return typ def _float_to_int(api: CheckerPluginInterface, typ: Type) -> Type: typ = get_proper_type(typ) if isinstance(typ, Instance): if typ.type.fullname == "builtins.float": return api.named_generic_type("builtins.int", []) elif typ.args: return typ.copy_modified(args=[_float_to_int(api, t) for t in typ.args]) return typ def my_meth_sig_hook(ctx: MethodSigContext) -> CallableType: return ctx.default_signature.copy_modified( arg_types=[_str_to_int(ctx.api, t) for t in ctx.default_signature.arg_types], ret_type=_str_to_int(ctx.api, ctx.default_signature.ret_type), ) def my_meth_hook(ctx: MethodContext) -> Type: return _float_to_int(ctx.api, ctx.default_return_type) def plugin(version: str) -> type[MethodPlugin]: return MethodPlugin ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/pythoneval-asyncio.test0000644000175100017510000002640515112307767021670 0ustar00runnerrunner-- Test cases for type checking mypy programs using full stubs and running -- using CPython. -- -- These are mostly regression tests -- no attempt is made to make these -- complete. -- -- This test file checks Asyncio and await interaction [case testImportAsyncio] import asyncio print('Imported') [out] Imported [case testSimpleCoroutineSleep] from typing import Any, Generator import asyncio from asyncio import Future async def greet_every_two_seconds() -> None: n = 0 while n < 5: print('Prev', n) await asyncio.sleep(0.01) print('After', n) n += 1 asyncio.run(greet_every_two_seconds()) [out] Prev 0 After 0 Prev 1 After 1 Prev 2 After 2 Prev 3 After 3 Prev 4 After 4 [case testCoroutineCallingOtherCoroutine] from typing import Any import asyncio from asyncio import Future async def compute(x: int, y: int) -> int: print("Compute %s + %s ..." % (x, y)) await asyncio.sleep(0.01) return x + y # Here the int is wrapped in Future[int] async def print_sum(x: int, y: int) -> None: result = await compute(x, y) # The type of result will be int (is extracted from Future[int] print("%s + %s = %s" % (x, y, result)) asyncio.run(print_sum(1, 2)) [out] Compute 1 + 2 ... 1 + 2 = 3 [case testCoroutineChangingFuture] from typing import Any import asyncio from asyncio import Future async def slow_operation(future: 'Future[str]') -> None: await asyncio.sleep(0.01) future.set_result('Future is done!') async def main() -> None: future = asyncio.Future() # type: Future[str] asyncio.Task(slow_operation(future)) await future print(future.result()) asyncio.run(main()) [out] Future is done! [case testFunctionAssignedAsCallback] import typing from typing import Any import asyncio from asyncio import Future, AbstractEventLoop async def slow_operation(future: 'Future[str]') -> None: await asyncio.sleep(1) future.set_result('Callback works!') def got_result(future: 'Future[str]') -> None: print(future.result()) loop.stop() async def main() -> None: future = asyncio.Future() # type: Future[str] asyncio.Task(slow_operation(future)) # Here create a task with the function. (The Task need a Future[T] as first argument) future.add_done_callback(got_result) # and assign the callback to the future loop = asyncio.new_event_loop() # type: AbstractEventLoop loop.run_until_complete(main()) try: loop.run_forever() finally: loop.close() [out] Callback works! [case testMultipleTasks] import typing from typing import Any import asyncio from asyncio import Task, Future async def factorial(name, number) -> None: f = 1 for i in range(2, number+1): print("Task %s: Compute factorial(%s)..." % (name, i)) await asyncio.sleep(0.01) f *= i print("Task %s: factorial(%s) = %s" % (name, number, f)) async def main() -> None: tasks = [ asyncio.Task(factorial("A", 2)), asyncio.Task(factorial("B", 3)), asyncio.Task(factorial("C", 4))] await asyncio.wait(tasks) asyncio.run(main()) [out] Task A: Compute factorial(2)... Task B: Compute factorial(2)... Task C: Compute factorial(2)... Task A: factorial(2) = 2 Task B: Compute factorial(3)... Task C: Compute factorial(3)... Task B: factorial(3) = 6 Task C: Compute factorial(4)... Task C: factorial(4) = 24 [case testConcatenatedCoroutines] import typing from typing import Any import asyncio from asyncio import Future future: Future[int] async def h4() -> int: x = await future return x async def h3() -> int: x = await h4() print("h3: %s" % x) return x async def h2() -> int: x = await h3() print("h2: %s" % x) return x async def h() -> None: x = await h2() print("h: %s" % x) async def main() -> None: global future future = asyncio.Future() future.set_result(42) await h() print("Outside %s" % future.result()) asyncio.run(main()) [out] h3: 42 h2: 42 h: 42 Outside 42 [case testConcatenatedCoroutinesReturningFutures] import typing from typing import Any import asyncio from asyncio import Future async def h4() -> "Future[int]": await asyncio.sleep(0.01) f = asyncio.Future() # type: Future[int] return f async def h3() -> "Future[Future[int]]": x = await h4() x.set_result(42) f = asyncio.Future() # type: Future[Future[int]] f.set_result(x) return f async def h() -> None: print("Before") x = await h3() y = await x z = await y print(z) def normalize(future): # The str conversion seems inconsistent; not sure exactly why. Normalize # the result. return str(future).replace(' Future> [case testCoroutineWithOwnClass] import typing from typing import Any import asyncio from asyncio import Future future: Future["A"] class A: def __init__(self, x: int) -> None: self.x = x async def h() -> None: x = await future print("h: %s" % x.x) async def main() -> None: global future future = asyncio.Future() future.set_result(A(42)) await h() print("Outside %s" % future.result().x) asyncio.run(main()) [out] h: 42 Outside 42 -- Errors [case testErrorAssigningCoroutineThatDontReturn] from typing import Any import asyncio from asyncio import Future async def greet() -> None: await asyncio.sleep(0.2) print('Hello World') async def test() -> None: await greet() x = await greet() # Error asyncio.run(test()) [out] _program.py:11: error: Function does not return a value (it only ever returns None) [case testErrorReturnIsNotTheSameType] from typing import Any import asyncio from asyncio import Future async def compute(x: int, y: int) -> int: print("Compute %s + %s ..." % (x, y)) await asyncio.sleep(0.01) return str(x + y) # Error async def print_sum(x: int, y: int) -> None: result = await compute(x, y) print("%s + %s = %s" % (x, y, result)) asyncio.run(print_sum(1, 2)) [out] _program.py:8: error: Incompatible return value type (got "str", expected "int") [case testErrorSetFutureDifferentInternalType] from typing import Any import asyncio from asyncio import Future async def slow_operation(future: 'Future[str]') -> None: await asyncio.sleep(1) future.set_result(42) # Error async def main() -> None: future = asyncio.Future() # type: Future[str] asyncio.Task(slow_operation(future)) await future print(future.result()) asyncio.run(main()) [out] _program.py:7: error: Argument 1 to "set_result" of "Future" has incompatible type "int"; expected "str" [case testErrorUsingDifferentFutureType] from typing import Any import asyncio from asyncio import Future async def slow_operation(future: 'Future[int]') -> None: await asyncio.sleep(1) future.set_result(42) async def main() -> None: future = asyncio.Future() # type: Future[str] asyncio.Task(slow_operation(future)) # Error await future print(future.result()) asyncio.run(main()) [out] _program.py:11: error: Argument 1 to "slow_operation" has incompatible type "Future[str]"; expected "Future[int]" [case testErrorUsingDifferentFutureTypeAndSetFutureDifferentInternalType] from typing import Any import asyncio from asyncio import Future async def slow_operation(future: 'Future[int]') -> None: await asyncio.sleep(1) future.set_result('42') # Try to set an str as result to a Future[int] async def main() -> None: future = asyncio.Future() # type: Future[str] asyncio.Task(slow_operation(future)) # Error await future print(future.result()) asyncio.run(main()) [out] _program.py:7: error: Argument 1 to "set_result" of "Future" has incompatible type "str"; expected "int" _program.py:11: error: Argument 1 to "slow_operation" has incompatible type "Future[str]"; expected "Future[int]" [case testErrorSettingCallbackWithDifferentFutureType] import typing from typing import Any import asyncio from asyncio import Future, AbstractEventLoop async def slow_operation(future: 'Future[str]') -> None: await asyncio.sleep(1) future.set_result('Future is done!') def got_result(future: 'Future[int]') -> None: print(future.result()) loop.stop() async def main() -> None: future = asyncio.Future() # type: Future[str] asyncio.Task(slow_operation(future)) future.add_done_callback(got_result) # Error loop = asyncio.new_event_loop() loop.run_until_complete(main()) try: loop.run_forever() finally: loop.close() [out] _program.py:17: error: Argument 1 to "add_done_callback" of "Future" has incompatible type "Callable[[Future[int]], None]"; expected "Callable[[Future[str]], object]" [case testErrorOneMoreFutureInReturnType] import typing from typing import Any, Generator import asyncio from asyncio import Future async def h4() -> Future[int]: await asyncio.sleep(1) f = asyncio.Future() # type: Future[int] return f async def h3() -> Future[Future[Future[int]]]: x = await h4() x.set_result(42) f = asyncio.Future() # type: Future[Future[int]] f.set_result(x) return f async def h() -> None: print("Before") x = await h3() y = await x z = await y print(z) print(y) print(x) asyncio.run(h()) [out] _program.py:16: error: Incompatible return value type (got "Future[Future[int]]", expected "Future[Future[Future[int]]]") [case testErrorOneLessFutureInReturnType] import typing from typing import Any import asyncio from asyncio import Future async def h4() -> Future[int]: await asyncio.sleep(1) f = asyncio.Future() # type: Future[int] return f async def h3() -> Future[int]: x = await h4() x.set_result(42) f = asyncio.Future() # type: Future[Future[int]] f.set_result(x) return f async def h() -> None: print("Before") x = await h3() y = await x print(y) print(x) asyncio.run(h()) [out] _program.py:16: error: Incompatible return value type (got "Future[Future[int]]", expected "Future[int]") _program.py:16: note: Maybe you forgot to use "await"? [case testErrorAssignmentDifferentType] import typing from typing import Any import asyncio from asyncio import Future future: Future["A"] class A: def __init__(self, x: int) -> None: self.x = x class B: def __init__(self, x: int) -> None: self.x = x async def h() -> None: x = await future # type: B # Error print("h: %s" % x.x) async def main() -> None: global future future = asyncio.Future() future.set_result(A(42)) await h() asyncio.run(main()) [out] _program.py:17: error: Incompatible types in assignment (expression has type "A", variable has type "B") [case testForwardRefToBadAsyncShouldNotCrash_newsemanal] from typing import TypeVar import asyncio T = TypeVar('T') P = whatever # type: ignore def test() -> None: reveal_type(bad) bad(0) async def bad(arg: P) -> T: pass [out] _program.py:8: note: Revealed type is "def [T] (arg: P?) -> typing.Coroutine[Any, Any, T`-1]" _program.py:9: error: Value of type "Coroutine[Any, Any, Never]" must be used _program.py:9: note: Are you missing an await? _program.py:11: error: Variable "_testForwardRefToBadAsyncShouldNotCrash_newsemanal.P" is not valid as a type _program.py:11: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/pythoneval.test0000644000175100017510000017152615112307767020232 0ustar00runnerrunner-- Test cases for type checking mypy programs using full stubs and running -- using CPython. -- -- These are mostly regression tests -- no attempt is made to make these -- complete. [case testHello] import typing print('hello, world') [out] hello, world [case testMiscStdlibFeatures] # Various legacy tests merged together to speed up test runtimes. def f(x: object) -> None: pass # testReversed from typing import Reversible class R(Reversible): def __iter__(self): return iter('oof') def __reversed__(self): return iter('foo') f(list(reversed(range(5)))) f(list(reversed([1,2,3]))) f(list(reversed('abc'))) f(list(reversed(R()))) # testIntAndFloatConversion from typing import SupportsInt, SupportsFloat class A(SupportsInt): def __int__(self): return 5 class B(SupportsFloat): def __float__(self): return 1.2 f(int(1)) f(int(6.2)) f(int('3')) f(int(b'4')) f(int(A())) f(float(-9)) f(float(B())) # testAbs from typing import SupportsAbs class Ab(SupportsAbs[float]): def __abs__(self) -> float: return 5.5 f(abs(-1)) f(abs(-1.2)) f(abs(Ab())) # testRound from typing import SupportsRound class Ro(SupportsRound): def __round__(self, ndigits=0): return 'x%d' % ndigits f(round(1.6)) f(round(Ro())) f(round(Ro(), 2)) # testCallMethodViaTypeObject list.__add__([1, 2], [3, 4]) # testInheritedClassAttribute import typing class AA: x = 1 def f(self: typing.Optional["AA"]) -> None: pass class BB(AA): pass BB.f(None) f(BB.x) # testSpecialAttributes class Doc: """A docstring!""" f(Doc().__doc__) f(Doc().__class__) # testFunctionAttributes f(ord.__class__) f(type(ord.__doc__ or '' + '')) f(ord.__name__) f(ord.__module__) # testModuleAttributes import math f(type(__spec__)) f(math.__name__) f(math.__spec__.name) f(type(math.__dict__)) f(type(math.__doc__ or '')) f(type(math.__spec__).__name__) f(math.__class__) [case testAbs2] n: int f: float n = abs(1) abs(1) + 'x' # Error f = abs(1.1) abs(1.1) + 'x' # Error [out] _program.py:4: error: Unsupported operand types for + ("int" and "str") _program.py:6: error: Unsupported operand types for + ("float" and "str") [case testTypeAttributes] import typing print(str.__class__) print(type(str.__doc__)) print(str.__name__) print(str.__module__) print(str.__dict__ is not None) [out] str builtins True [case testBoolCompatibilityWithInt] import typing x = 0 x = True print(bool('x')) print(bool('')) [out] True False [case testCannotExtendBoolUnlessIgnored] class A(bool): pass class B(bool): pass # type: ignore [out] _program.py:1: error: Cannot inherit from final class "bool" [case testCallBuiltinTypeObjectsWithoutArguments] import typing print(int()) print(repr(str())) print(repr(bytes())) print(float()) print(bool()) [out] 0 '' b'' 0.0 False [case testIntegerDivision] import typing x = 1 / 2 x = 1.5 [out] [case testIntMethods] import typing print(int.from_bytes(b'ab', 'big')) n = 0 print(n.from_bytes(b'ac', 'big')) print(n.from_bytes([2, 3], 'big')) print(n.to_bytes(2, 'big')) [out] 24930 24931 515 b'\x00\x00' [case testFloatMethods] import typing print(1.5.as_integer_ratio()) print(1.5.hex()) print(2.0.is_integer()) print(float.fromhex('0x1.8')) [out] (3, 2) 0x1.8000000000000p+0 True 1.5 [case testDictFromkeys] import typing d = dict.fromkeys('foo') d['x'] = 2 d2 = dict.fromkeys([1, 2], b'') d2[2] = b'foo' [out] [case testIsinstanceWithTuple] from typing import cast, Any x = cast(Any, (1, 'x')) if isinstance(x, tuple): print(x[0], x[1]) [out] 1 x [case testAnyStr] from typing import AnyStr def f(x: AnyStr) -> AnyStr: if isinstance(x, str): return 'foo' else: return b'zar' print(f('')) print(f(b'')) [out] foo b'zar' [case testNameNotImportedFromTyping] import typing cast(int, 2) [out] _program.py:2: error: Name "cast" is not defined _program.py:2: note: Did you forget to import it from "typing"? (Suggestion: "from typing import cast") [case testBinaryIOType] from typing import BinaryIO def f(f: BinaryIO) -> None: f.write(b'foo') f.write(bytearray(b'foo')) [out] [case testIOTypes] from typing import IO import sys def txt(f: IO[str]) -> None: f.write('foo') f.write(b'foo') def bin(f: IO[bytes]) -> None: f.write(b'foo') f.write(bytearray(b'foo')) txt(sys.stdout) bin(sys.stdout) [out] _program.py:5: error: Argument 1 to "write" of "IO" has incompatible type "bytes"; expected "str" _program.py:10: error: Argument 1 to "bin" has incompatible type "Union[TextIO, Any]"; expected "IO[bytes]" [case testBuiltinOpen] f = open('x') f.write('x') f.write(b'x') f.foobar() [out] _program.py:3: error: Argument 1 to "write" of "_TextIOBase" has incompatible type "bytes"; expected "str" _program.py:4: error: "TextIOWrapper[_WrappedBuffer]" has no attribute "foobar" [case testOpenReturnTypeInference] reveal_type(open('x')) reveal_type(open('x', 'r')) reveal_type(open('x', 'rb')) mode = 'rb' reveal_type(open('x', mode)) [out] _program.py:1: note: Revealed type is "_io.TextIOWrapper[_io._WrappedBuffer]" _program.py:2: note: Revealed type is "_io.TextIOWrapper[_io._WrappedBuffer]" _program.py:3: note: Revealed type is "_io.BufferedReader[_io._BufferedReaderStream]" _program.py:5: note: Revealed type is "typing.IO[Any]" [case testOpenReturnTypeInferenceSpecialCases] reveal_type(open(mode='rb', file='x')) reveal_type(open(file='x', mode='rb')) mode = 'rb' reveal_type(open(mode=mode, file='r')) [out] _testOpenReturnTypeInferenceSpecialCases.py:1: note: Revealed type is "_io.BufferedReader[_io._BufferedReaderStream]" _testOpenReturnTypeInferenceSpecialCases.py:2: note: Revealed type is "_io.BufferedReader[_io._BufferedReaderStream]" _testOpenReturnTypeInferenceSpecialCases.py:4: note: Revealed type is "typing.IO[Any]" [case testPathOpenReturnTypeInference] from pathlib import Path p = Path("x") reveal_type(p.open()) reveal_type(p.open('r')) reveal_type(p.open('rb')) mode = 'rb' reveal_type(p.open(mode)) [out] _program.py:3: note: Revealed type is "_io.TextIOWrapper[_io._WrappedBuffer]" _program.py:4: note: Revealed type is "_io.TextIOWrapper[_io._WrappedBuffer]" _program.py:5: note: Revealed type is "_io.BufferedReader[_io._BufferedReaderStream]" _program.py:7: note: Revealed type is "typing.IO[Any]" [case testPathOpenReturnTypeInferenceSpecialCases] from pathlib import Path p = Path("x") reveal_type(p.open(mode='r', errors='replace')) reveal_type(p.open(errors='replace', mode='r')) mode = 'r' reveal_type(p.open(mode=mode, errors='replace')) [out] _program.py:3: note: Revealed type is "_io.TextIOWrapper[_io._WrappedBuffer]" _program.py:4: note: Revealed type is "_io.TextIOWrapper[_io._WrappedBuffer]" _program.py:6: note: Revealed type is "typing.IO[Any]" [case testGenericPatterns] from typing import Pattern import re p: Pattern[str] p = re.compile('foo*') b: Pattern[bytes] b = re.compile(b'foo*') m = p.match('fooo') assert m print(m.group(0)) [out] fooo [case testGenericMatch] from typing import Match, Optional import re def f(m: Optional[Match[bytes]]) -> None: assert m print(m.group(0)) f(re.match(b'x*', b'xxy')) [out] b'xx' [case testIntFloatDucktyping] x: float x = 2.2 x = 2 def f(x: float) -> None: pass f(1.1) f(1) [out] [case testsFloatOperations] import typing print(1.5 + 1.5) print(1.5 + 1) [out] 3.0 2.5 [case testMathFunctionWithIntArgument] import typing import math math.sin(2) math.sin(2.2) [case testAbsReturnType] f: float n: int n = abs(2) f = abs(2.2) abs(2.2) + 'x' [out] _program.py:5: error: Unsupported operand types for + ("float" and "str") [case testROperatorMethods] b: bytes s: str if int(): s = b'foo' * 5 # Error if int(): b = 5 * b'foo' if int(): b = b'foo' * 5 if int(): s = 5 * 'foo' if int(): s = 'foo' * 5 [out] _program.py:4: error: Incompatible types in assignment (expression has type "bytes", variable has type "str") [case testROperatorMethods2] import typing print(2 / 0.5) print(' ', 2 * [3, 4]) [out] 4.0 [3, 4, 3, 4] [case testNotImplemented] import typing class A: def __add__(self, x: int) -> int: if isinstance(x, int): return x + 1 return NotImplemented class B: def __radd__(self, x: A) -> str: return 'x' print(A() + 1) print(A() + B()) [out] 2 x [case testMappingMethods] # Regression test from typing import Mapping x = {'x': 'y'} # type: Mapping[str, str] print('x' in x) print('y' in x) [out] True False [case testOverlappingOperatorMethods] class X: pass class A: def __add__(self, x: object) -> int: if isinstance(x, X): return 1 return NotImplemented class B: def __radd__(self, x: A) -> str: return 'x' class C(X, B): pass b: B b = C() print(A() + b) [out] _program.py:8: error: Signatures of "__radd__" of "B" and "__add__" of "A" are unsafely overlapping [case testBytesAndBytearrayComparisons] import typing print(b'ab' < bytearray(b'b')) print(bytearray(b'ab') < b'a') [out] True False [case testBytesAndBytearrayComparisons2] import typing '' < b'' b'' < '' '' < bytearray() bytearray() < '' [out] _program.py:2: error: Unsupported operand types for < ("str" and "bytes") _program.py:3: error: Unsupported operand types for < ("bytes" and "str") _program.py:4: error: Unsupported operand types for < ("str" and "bytearray") _program.py:5: error: Unsupported operand types for < ("bytearray" and "str") [case testInplaceOperatorMethod] import typing a = [1] print('', a.__iadd__([2])) print('', a) [out] [1, 2] [1, 2] [case testListInplaceAdd] import typing a = [1] a += iter([2, 3]) print(tuple(a)) [out] (1, 2, 3) [case testInferHeterogeneousListOfIterables] from typing import Sequence s = ['x', 'y'] # type: Sequence[str] a = [['x', 'x'], 'fo', s, iter('foo'), {'aa'}] for i, x in enumerate(a): print(i, next(iter(x))) [out] 0 x 1 f 2 x 3 f 4 aa [case testTextIOProperties] import typing import sys print(type(sys.stdin.encoding)) print(type(sys.stdin.errors)) sys.stdin.line_buffering sys.stdin.buffer sys.stdin.newlines [out] [case testIOProperties] import typing import sys print(sys.stdin.name) print(sys.stdin.buffer.mode) [out] rb [case testFromFuturePrintFunction] from __future__ import print_function print('a', 'b') [out] a b [case testListMethods] import typing import sys l = [0, 1, 2, 3, 4] if sys.version >= '3.3': l.clear() else: l = [] l.append(0) print('>', l) if sys.version >= '3.3': m = l.copy() else: m = l[:] m.extend([1, 2, 3, 4]) print('>', m) print(l.index(0)) print(l.index(0, 0)) print(l.index(0, 0, 1)) try: print(l.index(1)) print('expected ValueError') except ValueError: pass l.insert(0, 1) print('>', l) print(l.pop(0)) print(l.pop()) m.remove(0) try: m.remove(0) print('expected ValueError') except ValueError: pass m.reverse() m.sort() m.sort(key=lambda x: -x) m.sort(reverse=False) m.sort(key=lambda x: -x, reverse=True) print('>', m) [out] > [0] > [0, 1, 2, 3, 4] 0 0 0 > [1, 0] 1 0 > [1, 2, 3, 4] [case testListOperators] import typing l = [0, 1] print('+', l + [2]) print('*', l * 2) print('*', 2 * l) print('in', 1 in l) print('==', l == [1, 2]) print('!=', l != [1, 2]) print('>', l > [1, 2, 3]) print('>=', l >= [1, 2, 3]) print('<', l < [1, 2, 3]) print('<=', l <= [1, 2, 3]) print('>[0]', l[0]) l += [2] print('+=', l) l *= 2 print('*=', l) print('iter', list(iter(l))) print('len', len(l)) print('repr', repr(l)) l[:3] = [] print('setslice', l) print('reversed', list(reversed(l))) [out] + [0, 1, 2] * [0, 1, 0, 1] * [0, 1, 0, 1] in True == False != True > False >= False < True <= True >[0] 0 += [0, 1, 2] *= [0, 1, 2, 0, 1, 2] iter [0, 1, 2, 0, 1, 2] len 6 repr [0, 1, 2, 0, 1, 2] setslice [0, 1, 2] reversed [2, 1, 0] [case testTupleAsSubtypeOfSequence] from typing import TypeVar, Sequence T = TypeVar('T') def f(a: Sequence[T]) -> None: print(a) f(tuple()) [out] () [case testMapWithLambdaSpecialCase] from typing import List, Iterator a = [[1], [3]] b = map(lambda y: y[0], a) print('>', list(b)) [out] > [1, 3] [case testInternalBuiltinDefinition] import typing def f(x: _T) -> None: pass s: FrozenSet [out] _program.py:2: error: Name "_T" is not defined _program.py:3: error: Name "FrozenSet" is not defined [case testVarArgsFunctionSubtyping] import typing def f(*args: str) -> str: return args[0] map(f, ['x']) map(f, [1]) [out] _program.py:4: error: Argument 1 to "map" has incompatible type "def f(*args: str) -> str"; expected "Callable[[int], str]" [case testMapStr] import typing x = range(3) a = list(map(str, x)) a + 1 [out] _testMapStr.py:4: error: No overload variant of "__add__" of "list" matches argument type "int" _testMapStr.py:4: note: Possible overload variants: _testMapStr.py:4: note: def __add__(self, list[str], /) -> list[str] _testMapStr.py:4: note: def [_S] __add__(self, list[_S], /) -> list[Union[_S, str]] [case testRelativeImport] import typing from m import x print(x) [file m/__init__.py] from .n import x [file m/n.py] x = 1 [out] 1 [case testRelativeImport2] import typing from m.n import x print(x) [file m/__init__.py] [file m/n.py] from .nn import x [file m/nn.py] x = 2 [out] 2 [case testPyiTakesPrecedenceOverPy] import m m.f(1) [file m.py] def f(x): print(x) [file m.pyi] import typing def f(x: str) -> None: pass [out] _program.py:2: error: Argument 1 to "f" has incompatible type "int"; expected "str" [case testComplexArithmetic] import typing print(5 + 8j) print(3j * 2.0) print(4J / 2.0) [out] (5+8j) 6j 2j [case testComplexArithmetic2] x = 5 + 8j if int(): x = '' # E y = 3j * 2.0 if int(): y = '' # E [out] _program.py:3: error: Incompatible types in assignment (expression has type "str", variable has type "complex") _program.py:6: error: Incompatible types in assignment (expression has type "str", variable has type "complex") [case testSuperNew] from typing import Dict, Any class MyType(type): def __new__(cls, name: str, bases: tuple, namespace: Dict[str, Any]) -> Any: return super().__new__(cls, name + 'x', bases, namespace) class A(metaclass=MyType): pass print(type(A()).__name__) [out] Ax [case testSubclassBothGenericAndNonGenericABC] from typing import Generic, TypeVar from abc import ABCMeta T = TypeVar('T') class A(metaclass=ABCMeta): pass class B(Generic[T]): pass class C(A, B): pass class D(B, A): pass class E(A, B[T], Generic[T]): pass class F(B[T], A, Generic[T]): pass def f(e: E[int], f: F[int]) -> None: pass [out] [case testTypeVariableTypeComparability] from typing import TypeVar T = TypeVar('T') def eq(x: T, y: T, z: T) -> T: if x == y: return y else: return z print(eq(1, 2, 3)) print(eq('x', 'x', 'z')) [out] 3 x [case testIntDecimalCompatibility] import typing from decimal import Decimal print(Decimal(1) + 2) print(Decimal(1) - 2) print(1 + Decimal('2.34')) print(1 - Decimal('2.34')) print(2 * Decimal('2.34')) [out] 3 -1 3.34 -1.34 4.68 [case testInstantiateBuiltinTypes] from typing import Dict, Set, List d = dict() # type: Dict[int, str] s = set() # type: Set[int] l = list() # type: List[int] str() bytes() bytearray() int() float() complex() slice(1) bool() [case testVariableLengthTupleError] from typing import Tuple def p(t: Tuple[str, ...]) -> None: n = 5 print(t[n]) for s in t: s() ''.startswith(('x', 'y')) ''.startswith(('x', b'y')) [out] _program.py:6: error: "str" not callable _program.py:8: error: Argument 1 to "startswith" of "str" has incompatible type "tuple[str, bytes]"; expected "Union[str, tuple[str, ...]]" [case testMultiplyTupleByInteger] n = 4 t = ('',) * n t + 1 [out] _program.py:3: error: No overload variant of "__add__" of "tuple" matches argument type "int" _program.py:3: note: Possible overload variants: _program.py:3: note: def __add__(self, tuple[str, ...], /) -> tuple[str, ...] _program.py:3: note: def [_T] __add__(self, tuple[_T, ...], /) -> tuple[Union[str, _T], ...] [case testMultiplyTupleByIntegerReverse] n = 4 t = n * ('',) t + 1 [out] _program.py:3: error: No overload variant of "__add__" of "tuple" matches argument type "int" _program.py:3: note: Possible overload variants: _program.py:3: note: def __add__(self, tuple[str, ...], /) -> tuple[str, ...] _program.py:3: note: def [_T] __add__(self, tuple[_T, ...], /) -> tuple[Union[str, _T], ...] [case testDictWithKeywordArgs] from typing import Dict, Any, List d1 = dict(a=1, b=2) # type: Dict[str, int] d2 = dict(a=1, b='') # type: Dict[str, int] # E d3 = dict(a=1, b=1) d3.xyz # E d4 = dict(a=1, b='') # type: Dict[str, Any] result = dict(x=[], y=[]) # type: Dict[str, List[str]] [out] _program.py:3: error: Dict entry 1 has incompatible type "str": "str"; expected "str": "int" _program.py:5: error: "dict[str, int]" has no attribute "xyz" [case testDefaultDict] import typing as t from collections import defaultdict T = t.TypeVar('T') d1 = defaultdict(list) # type: t.DefaultDict[int, str] d2 = defaultdict() # type: t.DefaultDict[int, str] d2[0] = '0' d2['0'] = 0 def tst(dct: t.DefaultDict[int, T]) -> T: return dct[0] collections = ['coins', 'stamps', 'comics'] # type: t.List[str] d3 = defaultdict(str) # type: t.DefaultDict[int, str] collections[2] tst(defaultdict(list, {0: []})) tst(defaultdict(list, {'0': []})) class MyDDict(t.DefaultDict[int,T], t.Generic[T]): pass MyDDict(dict)['0'] MyDDict(dict)[0] [out] _program.py:6: error: Argument 1 to "defaultdict" has incompatible type "type[list[_T]]"; expected "Optional[Callable[[], str]]" _program.py:9: error: Invalid index type "str" for "defaultdict[int, str]"; expected type "int" _program.py:9: error: Incompatible types in assignment (expression has type "int", target has type "str") _program.py:19: error: Argument 1 to "tst" has incompatible type "defaultdict[str, list[Never]]"; expected "defaultdict[int, list[Never]]" _program.py:23: error: Invalid index type "str" for "MyDDict[dict[Never, Never]]"; expected type "int" [case testCollectionsAliases] import typing as t import collections as c o1 = c.Counter() # type: t.Counter[int] reveal_type(o1) o1['string'] o2 = c.ChainMap() # type: t.ChainMap[int, str] reveal_type(o2) o3 = c.deque() # type: t.Deque[int] reveal_type(o3) o4 = t.Counter[int]() reveal_type(o4) o5 = t.ChainMap[int, str]() reveal_type(o5) o6 = t.Deque[int]() reveal_type(o6) [out] _testCollectionsAliases.py:5: note: Revealed type is "collections.Counter[builtins.int]" _testCollectionsAliases.py:6: error: Invalid index type "str" for "Counter[int]"; expected type "int" _testCollectionsAliases.py:9: note: Revealed type is "collections.ChainMap[builtins.int, builtins.str]" _testCollectionsAliases.py:12: note: Revealed type is "collections.deque[builtins.int]" _testCollectionsAliases.py:15: note: Revealed type is "collections.Counter[builtins.int]" _testCollectionsAliases.py:18: note: Revealed type is "collections.ChainMap[builtins.int, builtins.str]" _testCollectionsAliases.py:21: note: Revealed type is "collections.deque[builtins.int]" [case testChainMapUnimported] ChainMap[int, str]() [out] _testChainMapUnimported.py:1: error: Name "ChainMap" is not defined [case testDequeWrongCase] import collections import typing collections.Deque() typing.deque() [out] _testDequeWrongCase.py:4: error: Module has no attribute "Deque"; maybe "deque"? _testDequeWrongCase.py:5: error: Module has no attribute "deque"; maybe "Deque"? [case testDictUpdateInference] from typing import Dict, Optional d = {} # type: Dict[str, Optional[int]] d.update({str(i): None for i in range(4)}) [case testSuperAndSetattr] class A: def __init__(self) -> None: super().__setattr__('a', 1) super().__setattr__(1, 'a') [out] _program.py:4: error: Argument 1 to "__setattr__" of "object" has incompatible type "int"; expected "str" [case testMetaclassAndSuper] from typing import Any class A(type): def __new__(cls, name, bases, namespace) -> Any: return super().__new__(cls, '', (object,), {'x': 7}) class B(metaclass=A): pass print(getattr(B(), 'x')) [out] 7 [case testSortedNoError] from typing import Iterable, Callable, TypeVar, List, Dict, Optional T = TypeVar('T') def sorted(x: Iterable[T], *, key: Optional[Callable[[T], object]] = None) -> None: ... a = [] # type: List[Dict[str, str]] sorted(a, key=lambda y: y['']) [case testAbstractProperty] from abc import abstractproperty, ABCMeta # type: ignore[deprecated] class A(metaclass=ABCMeta): @abstractproperty def x(self) -> int: pass class B(A): @property def x(self) -> int: return 3 b = B() print(b.x + 1) [out] 4 [case testInferenceWithLambda] from typing import TypeVar, Iterable, Iterator, List import itertools _T = TypeVar('_T') def f(iterable): # type: (Iterable[_T]) -> Iterator[List[_T]] grouped = itertools.groupby(enumerate(iterable), lambda pair: pair[0] // 2) return ([elem for _, elem in group] for _, group in grouped) [case testReModuleBytes] # Regression tests for various overloads in the re module -- bytes version import re bre = b'a+' bpat = re.compile(bre) bpat = re.compile(bpat) s1 = re.search(bre, b'') assert s1 s1.groups() re.search(bre, u'') # Error s2 = re.search(bpat, b'') assert s2 s2.groups() re.search(bpat, u'') # Error # match(), split(), findall(), finditer() are much the same, so skip those. # sub(), subn() have more overloads and we are checking these: re.sub(bre, b'', b'') + b'' re.sub(bpat, b'', b'') + b'' re.sub(bre, lambda m: b'', b'') + b'' re.sub(bpat, lambda m: b'', b'') + b'' re.subn(bre, b'', b'')[0] + b'' re.subn(bpat, b'', b'')[0] + b'' re.subn(bre, lambda m: b'', b'')[0] + b'' re.subn(bpat, lambda m: b'', b'')[0] + b'' [out] _testReModuleBytes.py:9: error: No overload variant of "search" matches argument types "bytes", "str" _testReModuleBytes.py:9: note: Possible overload variants: _testReModuleBytes.py:9: note: def search(pattern: Union[str, Pattern[str]], string: str, flags: Union[int, RegexFlag] = ...) -> Optional[Match[str]] _testReModuleBytes.py:9: note: def search(pattern: Union[bytes, Pattern[bytes]], string: Buffer, flags: Union[int, RegexFlag] = ...) -> Optional[Match[bytes]] _testReModuleBytes.py:13: error: Argument 1 to "search" has incompatible type "Pattern[bytes]"; expected "Union[str, Pattern[str]]" [case testReModuleString] # Regression tests for various overloads in the re module -- string version import re sre = 'a+' spat = re.compile(sre) spat = re.compile(spat) s1 = re.search(sre, '') assert s1 s1.groups() re.search(sre, b'') # Error s2 = re.search(spat, '') assert s2 s2.groups() re.search(spat, b'') # Error # match(), split(), findall(), finditer() are much the same, so skip those. # sus(), susn() have more overloads and we are checking these: re.sub(sre, '', '') + '' re.sub(spat, '', '') + '' re.sub(sre, lambda m: '', '') + '' re.sub(spat, lambda m: '', '') + '' re.subn(sre, '', '')[0] + '' re.subn(spat, '', '')[0] + '' re.subn(sre, lambda m: '', '')[0] + '' re.subn(spat, lambda m: '', '')[0] + '' [out] _testReModuleString.py:9: error: No overload variant of "search" matches argument types "str", "bytes" _testReModuleString.py:9: note: Possible overload variants: _testReModuleString.py:9: note: def search(pattern: Union[str, Pattern[str]], string: str, flags: Union[int, RegexFlag] = ...) -> Optional[Match[str]] _testReModuleString.py:9: note: def search(pattern: Union[bytes, Pattern[bytes]], string: Buffer, flags: Union[int, RegexFlag] = ...) -> Optional[Match[bytes]] _testReModuleString.py:13: error: Argument 1 to "search" has incompatible type "Pattern[str]"; expected "Union[bytes, Pattern[bytes]]" [case testListSetitemTuple] from typing import List, Tuple a = [] # type: List[Tuple[str, int]] a[0] = 'x', 1 a[1] = 2, 'y' a[:] = [('z', 3)] [out] _program.py:4: error: Incompatible types in assignment (expression has type "tuple[int, str]", target has type "tuple[str, int]") [case testContextManager] import contextlib from contextlib import contextmanager from typing import Iterator @contextmanager def f(x: int) -> Iterator[str]: yield 'foo' @contextlib.contextmanager def g(*x: str) -> Iterator[int]: yield 1 reveal_type(f) reveal_type(g) with f('') as s: reveal_type(s) [out] _program.py:13: note: Revealed type is "def (x: builtins.int) -> contextlib._GeneratorContextManager[builtins.str, None, None]" _program.py:14: note: Revealed type is "def (*x: builtins.str) -> contextlib._GeneratorContextManager[builtins.int, None, None]" _program.py:16: error: Argument 1 to "f" has incompatible type "str"; expected "int" _program.py:17: note: Revealed type is "builtins.str" [case testTypedDictGet] # Test that TypedDict get plugin works with typeshed stubs from typing import TypedDict class A: pass D_total = TypedDict('D_total', {'x': int, 'y': str}, total=True) D_not_total = TypedDict('D_not_total', {'x': int, 'y': str}, total=False) def test_total(d: D_total) -> None: reveal_type(d.get('x')) reveal_type(d.get('y')) reveal_type(d.get('z')) d.get() s = '' reveal_type(d.get(s)) def test_not_total(d: D_not_total) -> None: reveal_type(d.get('x')) reveal_type(d.get('y')) reveal_type(d.get('z')) d.get() s = '' reveal_type(d.get(s)) [out] _testTypedDictGet.py:8: note: Revealed type is "builtins.int" _testTypedDictGet.py:9: note: Revealed type is "builtins.str" _testTypedDictGet.py:10: note: Revealed type is "builtins.object" _testTypedDictGet.py:11: error: All overload variants of "get" of "Mapping" require at least one argument _testTypedDictGet.py:11: note: Possible overload variants: _testTypedDictGet.py:11: note: def get(self, str, /) -> object _testTypedDictGet.py:11: note: def get(self, str, /, default: object) -> object _testTypedDictGet.py:11: note: def [_T] get(self, str, /, default: _T) -> object _testTypedDictGet.py:13: note: Revealed type is "builtins.object" _testTypedDictGet.py:16: note: Revealed type is "Union[builtins.int, None]" _testTypedDictGet.py:17: note: Revealed type is "Union[builtins.str, None]" _testTypedDictGet.py:18: note: Revealed type is "builtins.object" _testTypedDictGet.py:19: error: All overload variants of "get" of "Mapping" require at least one argument _testTypedDictGet.py:19: note: Possible overload variants: _testTypedDictGet.py:19: note: def get(self, str, /) -> object _testTypedDictGet.py:19: note: def get(self, str, /, default: object) -> object _testTypedDictGet.py:19: note: def [_T] get(self, str, /, default: _T) -> object _testTypedDictGet.py:21: note: Revealed type is "builtins.object" [case testTypedDictMappingMethods] from typing import TypedDict Cell = TypedDict('Cell', {'value': int}) c = Cell(value=42) for x in c: reveal_type(x) reveal_type(iter(c)) reveal_type(len(c)) reveal_type('value' in c) reveal_type(c.keys()) reveal_type(c.items()) reveal_type(c.values()) reveal_type(c.copy()) reveal_type(c.setdefault('value', False)) c.update({'value': 2}) c.update({'invalid': 2}) c.pop('value') c == c c != c Cell2 = TypedDict('Cell2', {'value': int}, total=False) c2 = Cell2() reveal_type(c2.pop('value')) [out] _testTypedDictMappingMethods.py:5: note: Revealed type is "builtins.str" _testTypedDictMappingMethods.py:6: note: Revealed type is "typing.Iterator[builtins.str]" _testTypedDictMappingMethods.py:7: note: Revealed type is "builtins.int" _testTypedDictMappingMethods.py:8: note: Revealed type is "builtins.bool" _testTypedDictMappingMethods.py:9: note: Revealed type is "_collections_abc.dict_keys[builtins.str, builtins.object]" _testTypedDictMappingMethods.py:10: note: Revealed type is "_collections_abc.dict_items[builtins.str, builtins.object]" _testTypedDictMappingMethods.py:11: note: Revealed type is "_collections_abc.dict_values[builtins.str, builtins.object]" _testTypedDictMappingMethods.py:12: note: Revealed type is "TypedDict('_testTypedDictMappingMethods.Cell', {'value': builtins.int})" _testTypedDictMappingMethods.py:13: note: Revealed type is "builtins.int" _testTypedDictMappingMethods.py:15: error: Unexpected TypedDict key "invalid" _testTypedDictMappingMethods.py:16: error: Key "value" of TypedDict "Cell" cannot be deleted _testTypedDictMappingMethods.py:21: note: Revealed type is "builtins.int" [case testCrashOnComplexCheckWithNamedTupleNext] from typing import NamedTuple, Optional MyNamedTuple = NamedTuple('MyNamedTuple', [('parent', 'MyNamedTuple')]) # type: ignore def foo(mymap) -> Optional[MyNamedTuple]: return next((mymap[key] for key in mymap), None) [out] [case testCanConvertTypedDictToAnySuperclassOfMapping] from typing import Sized, TypedDict, Iterable, Container Point = TypedDict('Point', {'x': int, 'y': int}) p: Point s: Sized = p it: Iterable[str] = p c: Container[str] = p o: object = p it2: Iterable[int] = p [out] _testCanConvertTypedDictToAnySuperclassOfMapping.py:10: error: Incompatible types in assignment (expression has type "Point", variable has type "Iterable[int]") _testCanConvertTypedDictToAnySuperclassOfMapping.py:10: note: Following member(s) of "Point" have conflicts: _testCanConvertTypedDictToAnySuperclassOfMapping.py:10: note: Expected: _testCanConvertTypedDictToAnySuperclassOfMapping.py:10: note: def __iter__(self) -> Iterator[int] _testCanConvertTypedDictToAnySuperclassOfMapping.py:10: note: Got: _testCanConvertTypedDictToAnySuperclassOfMapping.py:10: note: def __iter__(self) -> Iterator[str] [case testAsyncioGatherPreciseType-xfail] # Mysteriously regressed in #11905 import asyncio from typing import Tuple async def get_location(arg: str) -> Tuple[str, str]: return arg, arg async def main() -> None: ((a_x, a_y),) = await asyncio.gather(get_location('start')) reveal_type(a_x) reveal_type(a_y) reveal_type(asyncio.gather(*[asyncio.sleep(1), asyncio.sleep(1)])) [out] _testAsyncioGatherPreciseType.py:9: note: Revealed type is "builtins.str" _testAsyncioGatherPreciseType.py:10: note: Revealed type is "builtins.str" _testAsyncioGatherPreciseType.py:11: note: Revealed type is "asyncio.futures.Future[builtins.list[Any]]" [case testMultipleInheritanceWorksWithTupleTypeGeneric] from typing import SupportsAbs, NamedTuple class Point(NamedTuple('Point', [('x', int), ('y', int)]), SupportsAbs[int]): def __abs__(p) -> int: return abs(p.x) + abs(p.y) def test(a: Point) -> bool: return abs(a) == 2 [out] [case testNoCrashOnGenericUnionUnpacking] from typing import Union, Dict TEST = {'key': ('a', 'b')} def test() -> None: a, b = TEST.get('foo', ('x', 'y')) reveal_type(a) reveal_type(b) def test2() -> None: a, b = TEST.get('foo', (1, 2)) reveal_type(a) reveal_type(b) x: Union[Dict[int, int], Dict[str, str]] = dict(a='b') for a, b in x.items(): reveal_type(a) reveal_type(b) [out] _testNoCrashOnGenericUnionUnpacking.py:6: note: Revealed type is "builtins.str" _testNoCrashOnGenericUnionUnpacking.py:7: note: Revealed type is "builtins.str" _testNoCrashOnGenericUnionUnpacking.py:10: note: Revealed type is "Union[builtins.str, builtins.int]" _testNoCrashOnGenericUnionUnpacking.py:11: note: Revealed type is "Union[builtins.str, builtins.int]" _testNoCrashOnGenericUnionUnpacking.py:15: note: Revealed type is "Union[builtins.int, builtins.str]" _testNoCrashOnGenericUnionUnpacking.py:16: note: Revealed type is "Union[builtins.int, builtins.str]" [case testMetaclassOpAccess] from typing import Type class A: pass class Meta(type): def __mul__(self, other: int) -> Type[A]: pass def __add__(self, other: int) -> Type[C]: pass def __radd__(self, other: int) -> Type[C]: pass class C(metaclass=Meta): pass bar: Type[C] def get_c_type() -> Type[C]: pass res = bar * 4 other = 4 + get_c_type() + 5 reveal_type(res) reveal_type(other) [out] _testMetaclassOpAccess.py:21: note: Revealed type is "type[_testMetaclassOpAccess.A]" _testMetaclassOpAccess.py:22: note: Revealed type is "type[_testMetaclassOpAccess.C]" [case testMetaclassOpAccessUnion] from typing import Type, Union class MetaA(type): def __mul__(self, other: int) -> str: pass class A(metaclass=MetaA): pass class MetaB(type): def __mul__(self, other: int) -> int: pass class B(metaclass=MetaB): pass bar: Type[Union[A, B]] res = bar * 4 reveal_type(res) [out] _testMetaclassOpAccessUnion.py:16: note: Revealed type is "Union[builtins.str, builtins.int]" [case testMetaclassOpAccessAny] from typing import Type from nonexistent import C bar: Type[C] bar * 4 + bar + 3 # should not produce more errors [out] _testMetaclassOpAccessAny.py:2: error: Cannot find implementation or library stub for module named "nonexistent" _testMetaclassOpAccessAny.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testEnumIterationAndPreciseElementType] # Regression test for #2305 from enum import Enum class E(Enum): A = 'a' (reveal_type(e) for e in E) for e in E: reveal_type(e) [out] _testEnumIterationAndPreciseElementType.py:5: note: Revealed type is "_testEnumIterationAndPreciseElementType.E" _testEnumIterationAndPreciseElementType.py:7: note: Revealed type is "_testEnumIterationAndPreciseElementType.E" [case testEnumIterable] from enum import Enum from typing import Iterable class E(Enum): A = 'a' def f(ie: Iterable[E]): pass f(E) [case testIntEnumIterable] from enum import IntEnum from typing import Iterable class N(IntEnum): X = 1 def f(ni: Iterable[N]): pass def g(ii: Iterable[int]): pass f(N) g(N) reveal_type(list(N)) [out] _testIntEnumIterable.py:11: note: Revealed type is "builtins.list[_testIntEnumIterable.N]" [case testDerivedEnumIterable] from enum import Enum from typing import Iterable class E(str, Enum): A = 'foo' def f(ei: Iterable[E]): pass def g(si: Iterable[str]): pass f(E) g(E) [case testInvalidSlots] from typing import List class A: __slots__ = 1 class B: __slots__ = (1, 2) class C: __slots__: List[int] = [] [out] _testInvalidSlots.py:3: error: Invalid type for "__slots__" (actual type "int", expected type "Union[str, Iterable[str]]") _testInvalidSlots.py:5: error: Invalid type for "__slots__" (actual type "tuple[int, int]", expected type "Union[str, Iterable[str]]") _testInvalidSlots.py:7: error: Invalid type for "__slots__" (actual type "list[int]", expected type "Union[str, Iterable[str]]") [case testDictWithStarStarSpecialCase] from typing import Dict def f() -> Dict[int, str]: return {1: '', **d()} def d() -> Dict[int, int]: return {} [out] _testDictWithStarStarSpecialCase.py:4: error: Unpacked dict entry 1 has incompatible type "dict[int, int]"; expected "SupportsKeysAndGetItem[int, str]" [case testLoadsOfOverloads] from typing import overload, Any, TypeVar, Iterable, List, Dict, Callable, Union S = TypeVar('S') T = TypeVar('T') @overload def simple_map() -> None: ... @overload def simple_map(func: Callable[[T], S], one: Iterable[T]) -> S: ... @overload def simple_map(func: Callable[..., S], *iterables: Iterable[Any]) -> S: ... def simple_map(*args): pass def format_row(*entries: object) -> str: pass class DateTime: pass JsonBlob = Dict[str, Any] Column = Union[List[str], List[int], List[bool], List[float], List[DateTime], List[JsonBlob]] def print_custom_table() -> None: a: Column for row in simple_map(format_row, a, a, a, a, a, a, a, a): # 8 columns reveal_type(row) [out] _testLoadsOfOverloads.py:24: note: Revealed type is "builtins.str" [case testReduceWithAnyInstance] from typing import Iterable from functools import reduce M = Iterable def f(m1: M, m2): ... def g(ms: 'T[M]') -> None: reduce(f, ms) T = Iterable [out] [case testNamedTupleNew] # This is an eval test because there was a snag found only with full stubs from typing import NamedTuple Base = NamedTuple('Base', [('param', int)]) class Child(Base): def __new__(cls, param: int = 1) -> 'Child': return Base.__new__(cls, param) Base(param=10) Child(param=10) reveal_type(Child()) from collections import namedtuple X = namedtuple('X', ['a', 'b']) x = X(a=1, b='s') [out] _testNamedTupleNew.py:12: note: Revealed type is "tuple[builtins.int, fallback=_testNamedTupleNew.Child]" [case testNamedTupleTypeInheritanceSpecialCase] from typing import NamedTuple, Tuple from collections import namedtuple A = NamedTuple('A', [('param', int)]) B = namedtuple('B', ['param']) def accepts_named_tuple(arg: NamedTuple): reveal_type(arg._asdict()) reveal_type(arg._fields) reveal_type(arg._field_defaults) a = A(1) b = B(1) accepts_named_tuple(a) accepts_named_tuple(b) accepts_named_tuple(1) accepts_named_tuple((1, 2)) [out] _testNamedTupleTypeInheritanceSpecialCase.py:8: note: Revealed type is "builtins.dict[builtins.str, Any]" _testNamedTupleTypeInheritanceSpecialCase.py:9: note: Revealed type is "builtins.tuple[builtins.str, ...]" _testNamedTupleTypeInheritanceSpecialCase.py:10: note: Revealed type is "builtins.dict[builtins.str, Any]" _testNamedTupleTypeInheritanceSpecialCase.py:17: error: Argument 1 to "accepts_named_tuple" has incompatible type "int"; expected "NamedTuple" _testNamedTupleTypeInheritanceSpecialCase.py:18: error: Argument 1 to "accepts_named_tuple" has incompatible type "tuple[int, int]"; expected "NamedTuple" [case testNewAnalyzerBasicTypeshed_newsemanal] from typing import Dict, List, Tuple x: Dict[str, List[int]] reveal_type(x['test'][0]) [out] _testNewAnalyzerBasicTypeshed_newsemanal.py:4: note: Revealed type is "builtins.int" [case testNewAnalyzerTypedDictInStub_newsemanal] import stub reveal_type(stub.thing) [file stub.pyi] from typing_extensions import TypedDict class StuffDict(TypedDict): foo: str bar: int def thing(stuff: StuffDict) -> int: ... [out] _testNewAnalyzerTypedDictInStub_newsemanal.py:2: note: Revealed type is "def (stuff: TypedDict('stub.StuffDict', {'foo': builtins.str, 'bar': builtins.int})) -> builtins.int" [case testStrictEqualityAllowlist] # mypy: strict-equality {1} == frozenset({1}) frozenset({1}) == {1} frozenset({1}) == [1] # Error {1: 2}.keys() == {1} {1: 2}.keys() == frozenset({1}) {1: 2}.items() == {(1, 2)} {1: 2}.keys() == {'no'} # OK {1: 2}.values() == {2} # Error {1: 2}.keys() == [1] # OK [out] _testStrictEqualityAllowlist.py:5: error: Non-overlapping equality check (left operand type: "frozenset[int]", right operand type: "list[int]") _testStrictEqualityAllowlist.py:12: error: Non-overlapping equality check (left operand type: "dict_values[int, int]", right operand type: "set[int]") [case testUnreachableWithStdlibContextManagers] # mypy: warn-unreachable, strict-optional from contextlib import suppress # This test overlaps with some of the warn-unreachable tests in check-unreachable-code, # but 'open(...)' is a very common function so we want to make sure we don't regress # against it specifically def f_open() -> str: with open("foo.txt", "r") as f: return f.read() print("noop") # contextlib.suppress is less common, but it's a fairly prominent example of an # exception-suppressing context manager, so it'd be good to double-check. def f_suppresses() -> int: with suppress(Exception): return 3 print("noop") [out] _testUnreachableWithStdlibContextManagers.py:11: error: Statement is unreachable _testUnreachableWithStdlibContextManagers.py:15: error: Missing return statement [case testUnreachableWithStdlibContextManagersNoStrictOptional] # mypy: warn-unreachable, no-strict-optional from contextlib import suppress # When strict-optional is disabled, 'open' should still behave in the same way as before def f_open() -> str: with open("foo.txt", "r") as f: return f.read() print("noop") # ...but unfortunately, we can't def f_suppresses() -> int: with suppress(Exception): return 3 print("noop") [out] _testUnreachableWithStdlibContextManagersNoStrictOptional.py:9: error: Statement is unreachable _testUnreachableWithStdlibContextManagersNoStrictOptional.py:15: error: Statement is unreachable [case testIsInstanceAdHocIntersectionWithStrAndBytes] # mypy: warn-unreachable x: str if isinstance(x, bytes): reveal_type(x) y: str if isinstance(x, int): reveal_type(x) [out] _testIsInstanceAdHocIntersectionWithStrAndBytes.py:3: error: Subclass of "str" and "bytes" cannot exist: have distinct disjoint bases _testIsInstanceAdHocIntersectionWithStrAndBytes.py:4: error: Statement is unreachable _testIsInstanceAdHocIntersectionWithStrAndBytes.py:6: error: Subclass of "str" and "int" cannot exist: have distinct disjoint bases _testIsInstanceAdHocIntersectionWithStrAndBytes.py:7: error: Statement is unreachable [case testAsyncioFutureWait] # mypy: strict-optional from asyncio import Future, wait from typing import List async def foo() -> None: f = [] # type: List[Future[None]] await wait(f) [case testShadowTypingModule] 1 + '' [file typing.py] x = 0 1 + '' [out] mypy: "tmp/typing.py" shadows library module "typing" note: A user-defined top-level module with name "typing" is not supported [case testIgnoreImportIfNoPython3StubAvailable] # flags: --ignore-missing-imports import scribe # No Python 3 stubs available for scribe from scribe import x import pytz # Python 3 stubs available for pytz import foobar_asdf import jack # This has a stubs package but was never bundled with mypy, so ignoring works [out] _testIgnoreImportIfNoPython3StubAvailable.py:4: error: Library stubs not installed for "pytz" _testIgnoreImportIfNoPython3StubAvailable.py:4: note: Hint: "python3 -m pip install types-pytz" _testIgnoreImportIfNoPython3StubAvailable.py:4: note: (or run "mypy --install-types" to install all missing stub packages) _testIgnoreImportIfNoPython3StubAvailable.py:4: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testNoPython3StubAvailable] import scribe from scribe import x import pytz [out] _testNoPython3StubAvailable.py:1: error: Cannot find implementation or library stub for module named "scribe" _testNoPython3StubAvailable.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports _testNoPython3StubAvailable.py:3: error: Library stubs not installed for "pytz" _testNoPython3StubAvailable.py:3: note: Hint: "python3 -m pip install types-pytz" _testNoPython3StubAvailable.py:3: note: (or run "mypy --install-types" to install all missing stub packages) [case testTypingOrderedDictAlias] from typing import OrderedDict x: OrderedDict[str, int] = OrderedDict({}) reveal_type(x) [out] _testTypingOrderedDictAlias.py:3: note: Revealed type is "collections.OrderedDict[builtins.str, builtins.int]" [case testTypingExtensionsOrderedDictAlias] from typing_extensions import OrderedDict x: OrderedDict[str, str] = OrderedDict({}) reveal_type(x) # Revealed type is "collections.OrderedDict[builtins.str, builtins.int]" [out] _testTypingExtensionsOrderedDictAlias.py:3: note: Revealed type is "collections.OrderedDict[builtins.str, builtins.str]" [case testSpecialTypingProtocols] # flags: --warn-unreachable from typing import Awaitable, Hashable, Union, Tuple, List obj: Union[Tuple[int], List[int]] if isinstance(obj, Hashable): reveal_type(obj) if isinstance(obj, Awaitable): reveal_type(obj) [out] _testSpecialTypingProtocols.py:6: note: Revealed type is "tuple[builtins.int]" _testSpecialTypingProtocols.py:8: error: Statement is unreachable [case testTypeshedRecursiveTypesExample] from typing import List, Union Recursive = Union[str, List["Recursive"]] def foo(r: Recursive) -> None: if not isinstance(r, str): if r: foo(r[0]) if not isinstance(r, list): r.casefold() foo("") foo(list("")) foo(list((list(""), ""))) [out] [case testNarrowTypeForDictKeys] from typing import Dict, KeysView, Optional d: Dict[str, int] key: Optional[str] if key in d.keys(): reveal_type(key) else: reveal_type(key) kv: KeysView[str] k: Optional[str] if k in kv: reveal_type(k) else: reveal_type(k) [out] _testNarrowTypeForDictKeys.py:6: note: Revealed type is "builtins.str" _testNarrowTypeForDictKeys.py:8: note: Revealed type is "Union[builtins.str, None]" _testNarrowTypeForDictKeys.py:13: note: Revealed type is "builtins.str" _testNarrowTypeForDictKeys.py:15: note: Revealed type is "Union[builtins.str, None]" [case testTypeAliasWithNewStyleUnion] # flags: --python-version 3.10 from typing import Literal, Type, TypeAlias, TypeVar Foo = Literal[1, 2] reveal_type(Foo) Bar1 = Foo | Literal[3] Bar2 = Literal[3] | Foo Bar3 = Foo | Foo | Literal[3] | Foo U1 = int | str U2 = U1 | bytes U3 = bytes | U1 Opt1 = None | int Opt2 = None | float Opt3 = int | None Opt4 = float | None A = Type[int] | str B: TypeAlias = Type[int] | str C = type[int] | str D = type[int] | str x: D reveal_type(x) E: TypeAlias = type[int] | str y: E reveal_type(y) F = list[type[int] | str] T = TypeVar("T", int, str) def foo(x: T) -> T: A = type[int] | str a: A return x [out] _testTypeAliasWithNewStyleUnion.py:5: note: Revealed type is "typing._SpecialForm" _testTypeAliasWithNewStyleUnion.py:25: note: Revealed type is "type[builtins.int] | builtins.str" _testTypeAliasWithNewStyleUnion.py:28: note: Revealed type is "type[builtins.int] | builtins.str" [case testTypeAliasWithNewStyleUnionInStub] import m a: m.A reveal_type(a) b: m.B reveal_type(b) c: m.C reveal_type(c) d: m.D reveal_type(d) e: m.E reveal_type(e) f: m.F reveal_type(f) [file m.pyi] from typing import Type, Callable, Literal from typing_extensions import TypeAlias Foo = Literal[1, 2] reveal_type(Foo) Bar1 = Foo | Literal[3] Bar2 = Literal[3] | Foo Bar3 = Foo | Foo | Literal[3] | Foo U1 = int | str U2 = U1 | bytes U3 = bytes | U1 Opt1 = None | int Opt2 = None | float Opt3 = int | None Opt4 = float | None A = Type[int] | str B: TypeAlias = Type[int] | str C = type[int] | str reveal_type(C) D: TypeAlias = type[int] | str E = str | type[int] F: TypeAlias = str | type[int] G = list[type[int] | str] H = list[str | type[int]] CU1 = int | Callable[[], str | bool] CU2: TypeAlias = int | Callable[[], str | bool] CU3 = int | Callable[[str | bool], str] CU4: TypeAlias = int | Callable[[str | bool], str] [out] m.pyi:5: note: Revealed type is "typing._SpecialForm" m.pyi:22: note: Revealed type is "typing._SpecialForm" _testTypeAliasWithNewStyleUnionInStub.py:3: note: Revealed type is "Union[type[builtins.int], builtins.str]" _testTypeAliasWithNewStyleUnionInStub.py:5: note: Revealed type is "Union[type[builtins.int], builtins.str]" _testTypeAliasWithNewStyleUnionInStub.py:7: note: Revealed type is "Union[type[builtins.int], builtins.str]" _testTypeAliasWithNewStyleUnionInStub.py:9: note: Revealed type is "Union[type[builtins.int], builtins.str]" _testTypeAliasWithNewStyleUnionInStub.py:11: note: Revealed type is "Union[builtins.str, type[builtins.int]]" _testTypeAliasWithNewStyleUnionInStub.py:13: note: Revealed type is "Union[builtins.str, type[builtins.int]]" [case testEnumNameWorkCorrectlyOn311] # flags: --python-version 3.11 import enum class E(enum.Enum): X = 1 Y = 2 @enum.property def foo(self) -> int: ... e: E reveal_type(e.name) reveal_type(e.value) reveal_type(E.X.name) reveal_type(e.foo) reveal_type(E.Y.foo) [out] _testEnumNameWorkCorrectlyOn311.py:11: note: Revealed type is "builtins.str" _testEnumNameWorkCorrectlyOn311.py:12: note: Revealed type is "Literal[1]? | Literal[2]?" _testEnumNameWorkCorrectlyOn311.py:13: note: Revealed type is "Literal['X']?" _testEnumNameWorkCorrectlyOn311.py:14: note: Revealed type is "builtins.int" _testEnumNameWorkCorrectlyOn311.py:15: note: Revealed type is "builtins.int" [case testTypeAliasNotSupportedWithNewStyleUnion] # flags: --python-version 3.9 from typing_extensions import TypeAlias A = type[int] | str B = str | type[int] C = str | int D: TypeAlias = str | int [out] _testTypeAliasNotSupportedWithNewStyleUnion.py:3: error: Invalid type alias: expression is not a valid type _testTypeAliasNotSupportedWithNewStyleUnion.py:3: error: Unsupported left operand type for | ("GenericAlias") _testTypeAliasNotSupportedWithNewStyleUnion.py:4: error: Invalid type alias: expression is not a valid type _testTypeAliasNotSupportedWithNewStyleUnion.py:4: error: Unsupported left operand type for | ("type[str]") _testTypeAliasNotSupportedWithNewStyleUnion.py:5: error: Invalid type alias: expression is not a valid type _testTypeAliasNotSupportedWithNewStyleUnion.py:5: error: Unsupported left operand type for | ("type[str]") _testTypeAliasNotSupportedWithNewStyleUnion.py:6: error: Invalid type alias: expression is not a valid type _testTypeAliasNotSupportedWithNewStyleUnion.py:6: error: Unsupported left operand type for | ("type[str]") [case testTypedDictUnionGetFull] from typing import Dict from typing_extensions import TypedDict class TD(TypedDict, total=False): x: int y: int A = Dict[str, TD] x: A def foo(k: str) -> TD: reveal_type(x.get(k, {})) return x.get(k, {}) [out] _testTypedDictUnionGetFull.py:11: note: Revealed type is "TypedDict('_testTypedDictUnionGetFull.TD', {'x'?: builtins.int, 'y'?: builtins.int})" [case testTupleWithDifferentArgsPy310] # https://github.com/python/mypy/issues/11098 # flags: --python-version 3.10 Correct1 = str | tuple[float, float, str] Correct2 = tuple[float] | str Correct3 = tuple[float, ...] | str Correct4 = tuple[float, str] Correct5 = tuple[float, ...] Correct6 = list[tuple[int, str]] c1: Correct1 c2: Correct2 c3: Correct3 c4: Correct4 c5: Correct5 c6: Correct6 reveal_type(c1) reveal_type(c2) reveal_type(c3) reveal_type(c4) reveal_type(c5) reveal_type(c6) RHSAlias1: type = tuple[int, int] RHSAlias2: type = tuple[int] RHSAlias3: type = tuple[int, ...] WrongTypeElement = str | tuple[float, 1] # Error WrongEllipsis = tuple[float, float, ...] | str # Error reveal_type(tuple[int, str]((1, "x"))) [out] _testTupleWithDifferentArgsPy310.py:15: note: Revealed type is "builtins.str | tuple[builtins.float, builtins.float, builtins.str]" _testTupleWithDifferentArgsPy310.py:16: note: Revealed type is "tuple[builtins.float] | builtins.str" _testTupleWithDifferentArgsPy310.py:17: note: Revealed type is "builtins.tuple[builtins.float, ...] | builtins.str" _testTupleWithDifferentArgsPy310.py:18: note: Revealed type is "tuple[builtins.float, builtins.str]" _testTupleWithDifferentArgsPy310.py:19: note: Revealed type is "builtins.tuple[builtins.float, ...]" _testTupleWithDifferentArgsPy310.py:20: note: Revealed type is "builtins.list[tuple[builtins.int, builtins.str]]" _testTupleWithDifferentArgsPy310.py:26: error: Invalid type: try using Literal[1] instead? _testTupleWithDifferentArgsPy310.py:27: error: Unexpected "..." _testTupleWithDifferentArgsPy310.py:29: note: Revealed type is "tuple[builtins.int, builtins.str]" [case testEnumIterMetaInference] import socket from enum import Enum from typing import Iterable, Iterator, Type, TypeVar _E = TypeVar("_E", bound=Enum) def enum_iter(cls: Type[_E]) -> Iterable[_E]: reveal_type(iter(cls)) reveal_type(next(iter(cls))) return iter(cls) for value in enum_iter(socket.SocketKind): reveal_type(value) [out] _testEnumIterMetaInference.py:8: note: Revealed type is "typing.Iterator[_E`-1]" _testEnumIterMetaInference.py:9: note: Revealed type is "_E`-1" _testEnumIterMetaInference.py:13: note: Revealed type is "socket.SocketKind" [case testEnumUnpackedViaMetaclass] from enum import Enum class FooEnum(Enum): A = 1 B = 2 C = 3 a, b, c = FooEnum reveal_type(a) reveal_type(b) reveal_type(c) [out] _testEnumUnpackedViaMetaclass.py:9: note: Revealed type is "_testEnumUnpackedViaMetaclass.FooEnum" _testEnumUnpackedViaMetaclass.py:10: note: Revealed type is "_testEnumUnpackedViaMetaclass.FooEnum" _testEnumUnpackedViaMetaclass.py:11: note: Revealed type is "_testEnumUnpackedViaMetaclass.FooEnum" [case testNativeIntTypes] # Spot check various native int operations with full stubs. from mypy_extensions import i64, i32 x: i64 = 0 y: int = x x = i64(0) y = int(x) i64() i64("12") i64("ab", 16) i64(1.2) float(i64(1)) i64(1) + i32(2) # Error reveal_type(x + y) reveal_type(y + x) a = [0] a[x] [out] _testNativeIntTypes.py:14: error: Unsupported operand types for + ("i64" and "i32") _testNativeIntTypes.py:15: note: Revealed type is "mypy_extensions.i64" _testNativeIntTypes.py:16: note: Revealed type is "mypy_extensions.i64" [case testStarUnpackNestedUnderscore] from typing import Tuple, Dict, List def crash() -> None: d: Dict[int, Tuple[str, int, str]] = {} k, (v1, *_) = next(iter(d.items())) def test1() -> None: vs: List[str] d: Dict[int, Tuple[str, int, int]] = {} k, (v1, *vs) = next(iter(d.items())) reveal_type(vs) def test2() -> None: d: Dict[int, Tuple[str, int, str]] = {} k, (v1, *vs) = next(iter(d.items())) reveal_type(vs) [out] _testStarUnpackNestedUnderscore.py:10: error: List item 0 has incompatible type "int"; expected "str" _testStarUnpackNestedUnderscore.py:10: error: List item 1 has incompatible type "int"; expected "str" _testStarUnpackNestedUnderscore.py:11: note: Revealed type is "builtins.list[builtins.str]" _testStarUnpackNestedUnderscore.py:16: note: Revealed type is "builtins.list[builtins.object]" [case testStrictEqualitywithParamSpec] # flags: --strict-equality from typing import Generic from typing_extensions import Concatenate, ParamSpec P = ParamSpec("P") class Foo(Generic[P]): ... class Bar(Generic[P]): ... def bad(foo: Foo[[int]], bar: Bar[[int]]) -> bool: return foo == bar def bad1(foo1: Foo[[int]], foo2: Foo[[str]]) -> bool: return foo1 == foo2 def bad2(foo1: Foo[[int, str]], foo2: Foo[[int, bytes]]) -> bool: return foo1 == foo2 def bad3(foo1: Foo[[int]], foo2: Foo[[int, int]]) -> bool: return foo1 == foo2 def good4(foo1: Foo[[int]], foo2: Foo[[int]]) -> bool: return foo1 == foo2 def good5(foo1: Foo[[int]], foo2: Foo[[bool]]) -> bool: return foo1 == foo2 def good6(foo1: Foo[[int, int]], foo2: Foo[[bool, bool]]) -> bool: return foo1 == foo2 def good7(foo1: Foo[[int]], foo2: Foo[P], *args: P.args, **kwargs: P.kwargs) -> bool: return foo1 == foo2 def good8(foo1: Foo[P], foo2: Foo[[int, str, bytes]], *args: P.args, **kwargs: P.kwargs) -> bool: return foo1 == foo2 def good9(foo1: Foo[Concatenate[int, P]], foo2: Foo[[int, str, bytes]], *args: P.args, **kwargs: P.kwargs) -> bool: return foo1 == foo2 [out] _testStrictEqualitywithParamSpec.py:11: error: Non-overlapping equality check (left operand type: "Foo[[int]]", right operand type: "Bar[[int]]") _testStrictEqualitywithParamSpec.py:14: error: Non-overlapping equality check (left operand type: "Foo[[int]]", right operand type: "Foo[[str]]") _testStrictEqualitywithParamSpec.py:17: error: Non-overlapping equality check (left operand type: "Foo[[int, str]]", right operand type: "Foo[[int, bytes]]") _testStrictEqualitywithParamSpec.py:20: error: Non-overlapping equality check (left operand type: "Foo[[int]]", right operand type: "Foo[[int, int]]") [case testInferenceOfDunderDictOnClassObjects] class Foo: ... reveal_type(Foo.__dict__) reveal_type(Foo().__dict__) Foo.__dict__ = {} Foo().__dict__ = {} [out] _testInferenceOfDunderDictOnClassObjects.py:2: note: Revealed type is "types.MappingProxyType[builtins.str, Any]" _testInferenceOfDunderDictOnClassObjects.py:3: note: Revealed type is "builtins.dict[builtins.str, Any]" _testInferenceOfDunderDictOnClassObjects.py:4: error: Cannot assign to final attribute "__dict__" _testInferenceOfDunderDictOnClassObjects.py:4: error: Incompatible types in assignment (expression has type "dict[Never, Never]", variable has type "MappingProxyType[str, Any]") [case testTypeVarTuple] # flags: --python-version=3.11 from typing import Any, Callable, Unpack, TypeVarTuple Ts = TypeVarTuple("Ts") def foo(callback: Callable[[], Any]) -> None: call(callback) def call(callback: Callable[[Unpack[Ts]], Any], *args: Unpack[Ts]) -> Any: ... [case testTypeVarTupleTypingExtensions] from typing_extensions import Unpack, TypeVarTuple from typing import Any, Callable Ts = TypeVarTuple("Ts") def foo(callback: Callable[[], Any]) -> None: call(callback) def call(callback: Callable[[Unpack[Ts]], Any], *args: Unpack[Ts]) -> Any: ... [case testDataclassReplace] from dataclasses import dataclass, replace @dataclass class A: x: int a = A(x=42) a2 = replace(a, x=42) reveal_type(a2) a2 = replace() a2 = replace(a, x='spam') a2 = replace(a, x=42, q=42) [out] _testDataclassReplace.py:4: note: "replace" of "A" defined here _testDataclassReplace.py:9: note: Revealed type is "_testDataclassReplace.A" _testDataclassReplace.py:10: error: Too few arguments for "replace" _testDataclassReplace.py:11: error: Argument "x" to "replace" of "A" has incompatible type "str"; expected "int" _testDataclassReplace.py:12: error: Unexpected keyword argument "q" for "replace" of "A" [case testGenericInferenceWithTuple] from typing import TypeVar, Callable, Tuple T = TypeVar("T") def f(x: Callable[..., T]) -> T: return x() x: Tuple[str, ...] = f(tuple) [out] [case testGenericInferenceWithDataclass] from typing import Any, Collection, List from dataclasses import dataclass, field class Foo: pass @dataclass class A: items: Collection[Foo] = field(default_factory=list) [out] [case testGenericInferenceWithItertools] from typing import TypeVar, Tuple from itertools import groupby K = TypeVar("K") V = TypeVar("V") def fst(kv: Tuple[K, V]) -> K: k, v = kv return k pairs = [(len(s), s) for s in ["one", "two", "three"]] grouped = groupby(pairs, key=fst) [out] [case testDataclassReplaceOptional] from dataclasses import dataclass, replace from typing import Optional @dataclass class A: x: Optional[int] a = A(x=42) reveal_type(a) a2 = replace(a, x=None) # OK reveal_type(a2) [out] _testDataclassReplaceOptional.py:9: note: Revealed type is "_testDataclassReplaceOptional.A" _testDataclassReplaceOptional.py:11: note: Revealed type is "_testDataclassReplaceOptional.A" [case testDataclassStrictOptionalAlwaysSet] from dataclasses import dataclass from typing import Callable, Optional @dataclass class Description: name_fn: Callable[[Optional[int]], Optional[str]] def f(d: Description) -> None: reveal_type(d.name_fn) [out] _testDataclassStrictOptionalAlwaysSet.py:9: note: Revealed type is "def (Union[builtins.int, None]) -> Union[builtins.str, None]" [case testPEP695VarianceInference] # flags: --python-version=3.12 from typing import Callable, Final class Job[_R_co]: def __init__(self, target: Callable[[], _R_co]) -> None: self.target: Final = target def func( action: Job[int | None], a1: Job[int | None], a2: Job[int], a3: Job[None], ) -> None: action = a1 action = a2 action = a3 a2 = action # Error [out] _testPEP695VarianceInference.py:17: error: Incompatible types in assignment (expression has type "Job[None]", variable has type "Job[int]") [case testPEP695TypeAliasWithDifferentTargetTypes] # flags: --python-version=3.12 from typing import Any, Callable, List, Literal, TypedDict, overload, TypeAlias, TypeVar, Never class C[T]: pass class O[T]: @overload def __init__(self) -> None: ... @overload def __init__(self, x: int) -> None: ... def __init__(self, x: int = 0) -> None: pass class TD(TypedDict): x: int S = TypeVar("S") A = list[S] B: TypeAlias = list[S] type A1 = type[int] type A2 = type[int] | None type A3 = None | type[int] type A4 = type[Any] type A5 = type[C] | None type A6 = None | type[C] type A7 = type[O] | None type A8 = None | type[O] type B1[**P, R] = Callable[P, R] | None type B2[**P, R] = None | Callable[P, R] type B3 = Callable[[str], int] type B4 = Callable[..., int] type C1 = A1 | None type C2 = None | A1 type D1 = Any | None type D2 = None | Any type E1 = List[int] type E2 = List[int] | None type E3 = None | List[int] type F1 = Literal[1] type F2 = Literal['x'] | None type F3 = None | Literal[True] type G1 = tuple[int, Any] type G2 = tuple[int, Any] | None type G3 = None | tuple[int, Any] type H1 = TD type H2 = TD | None type H3 = None | TD type I1 = C[int] type I2 = C[Any] | None type I3 = None | C[TD] type I4 = O[int] | None type I5 = None | O[int] type J1[T] = T | None type J2[T] = None | T type J3[*Ts] = tuple[*Ts] type J4[T] = J1[T] | None type J5[T] = None | J1[T] type J6[*Ts] = J3[*Ts] | None type K1 = A[int] | None type K2 = None | A[int] type K3 = B[int] | None type K4 = None | B[int] type L1 = Never type L2 = list[Never] [case testPEP695VarianceInferenceSpecialCaseWithTypeshed] # flags: --python-version=3.12 class C1[T1, T2](list[T1]): def m(self, a: T2) -> None: ... def func1(p: C1[int, object]): x: C1[int, int] = p class C2[T1, T2, T3](dict[T2, T3]): def m(self, a: T1) -> None: ... def func2(p: C2[object, int, int]): x: C2[int, int, int] = p class C3[T1, T2](tuple[T1, ...]): def m(self, a: T2) -> None: ... def func3(p: C3[int, object]): x: C3[int, int] = p [case testDynamicClassAttribute] # Some things that can break if DynamicClassAttribute isn't handled properly from types import DynamicClassAttribute from enum import Enum class TestClass: @DynamicClassAttribute def name(self) -> str: ... class TestClass2(TestClass, Enum): ... class Status(Enum): ABORTED = -1 def imperfect(status: Status) -> str: return status.name.lower() [case testUnpackIteratorBuiltins] # Regression test for https://github.com/python/mypy/issues/18320 # Caused by https://github.com/python/typeshed/pull/12851 x = [1, 2] reveal_type([*reversed(x)]) reveal_type([*map(str, x)]) [out] _testUnpackIteratorBuiltins.py:4: note: Revealed type is "builtins.list[builtins.int]" _testUnpackIteratorBuiltins.py:5: note: Revealed type is "builtins.list[builtins.str]" [case testReturnFallbackInferenceDict] # Requires full dict stubs. from typing import Dict, Mapping, TypeVar, Union K = TypeVar("K") V = TypeVar("V") K2 = TypeVar("K2") V2 = TypeVar("V2") def func(one: Dict[K, V], two: Mapping[K2, V2]) -> Dict[Union[K, K2], Union[V, V2]]: ... def caller(arg1: Mapping[K, V], arg2: Mapping[K2, V2]) -> Dict[Union[K, K2], Union[V, V2]]: _arg1 = arg1 if isinstance(arg1, dict) else dict(arg1) return func(_arg1, arg2) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/ref-info.test0000644000175100017510000000240415112307767017532 0ustar00runnerrunner[case testCallGlobalFunction] def f() -> None: g() def g() -> None: pass [out] 2:4:__main__.g [case testCallMethod] def f() -> None: c = C() if int(): c.method() class C: def method(self) -> None: pass [out] 2:8:__main__.C 3:7:builtins.int 4:8:__main__.C.method [case testCallStaticMethod] class C: def f(self) -> None: C.static() self.static() @classmethod def cm(cls) -> None: cls.static() @staticmethod def static() -> None: pass [builtins fixtures/classmethod.pyi] [out] 3:8:__main__.C 3:8:__main__.C.static 4:8:__main__.C.static 8:8:__main__.C.static [case testCallClassMethod] class C: def f(self) -> None: C.cm() self.cm() @classmethod def cm(cls) -> None: cls.cm() [builtins fixtures/classmethod.pyi] [out] 3:8:__main__.C 3:8:__main__.C.cm 4:8:__main__.C.cm 8:8:__main__.C.cm [case testTypeVarWithValueRestriction] from typing import TypeVar T = TypeVar("T", "C", "D") def f(o: T) -> None: f(o) o.m() o.x class C: x: int def m(self) -> None: pass class D: x: str def m(self) -> None: pass [out] 3:4:typing.TypeVar 3:0:__main__.T 6:4:__main__.f 7:4:__main__.C.m 8:4:__main__.C.x 6:4:__main__.f 7:4:__main__.D.m 8:4:__main__.D.x ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/reports.test0000644000175100017510000004531515112307767017533 0ustar00runnerrunner-- Tests for reports -- -- This file follows syntax of cmdline.test. [case testConfigErrorUnknownReport] # cmd: mypy -c pass [file mypy.ini] \[mypy] bad_report = . [out] mypy.ini: [mypy]: Unrecognized report type: bad_report == Return code: 0 [case testCoberturaParser] # cmd: mypy --cobertura-xml-report build pkg [file pkg/__init__.py] [file pkg/a.py] from typing import Dict def foo() -> Dict: z = {'hello': 'world'} return z [file pkg/subpkg/__init__.py] [file pkg/subpkg/a.py] def bar() -> str: return 'world' def untyped_function(): return 42 [outfile build/cobertura.xml] $PWD [case testCoberturaStarUnpacking] # cmd: mypy --cobertura-xml-report build a.py [file a.py] from typing import TypedDict class MyDict(TypedDict): a: int def foo(a: int) -> MyDict: return {"a": a} md: MyDict = MyDict(**foo(42)) [outfile build/cobertura.xml] $PWD [case testAnyExprReportDivisionByZero] # cmd: mypy --any-exprs-report=out -c 'pass' [case testClassDefIsNotTreatedAsEmpty] # cmd: mypy --html-report report n.py [file n.py] class A(object): pass # line indented with tab; hex 1f here: () [file report/mypy-html.css] [file report/index.html] [outfile report/html/n.py.html]

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n.py 
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class A(object):
	pass  # line indented with tab; hex 1f here: (?)
[case testNoCrashRecursiveAliasInReport] # cmd: mypy --any-exprs-report report n.py [file n.py] from typing import Union, List, Any, TypeVar Nested = List[Union[Any, Nested]] T = TypeVar("T") NestedGen = List[Union[T, NestedGen[T]]] x: Nested y: NestedGen[int] z: NestedGen[Any] [file report/any-exprs.txt] [outfile report/types-of-anys.txt] Name Unannotated Explicit Unimported Omitted Generics Error Special Form Implementation Artifact ----------------------------------------------------------------------------------------------------------------- n 0 2 0 8 0 0 0 ----------------------------------------------------------------------------------------------------------------- Total 0 2 0 8 0 0 0 [case testTypeVarTreatedAsEmptyLine] # cmd: mypy --html-report report n.py [file n.py] from typing import TypeVar T = TypeVar('T') [file report/mypy-html.css] [file report/index.html] [outfile report/html/n.py.html]

n

n.py 
1
2
3

from typing import TypeVar

T = TypeVar('T')
[case testUnreachableCodeMarkedAsAny] # cmd: mypy --html-report report n.py [file any.py] from typing import Any def any_f(x: Any) -> None: pass [file n.py] from any import any_f def bar(x): # type: (str) -> None any_f(x) assert False any_f(x) [file report/mypy-html.css] [file report/index.html] [outfile report/html/n.py.html]

n

n.py 
1
2
3
4
5
6

from any import any_f
def bar(x):
    # type: (str) -> None
    any_f(x)
    assert False
    any_f(x)
[case testHtmlReportMemberExprNoUnanalyzed] # cmd: mypy --html-report report n.py [file n.py] import sys old_stdout = sys.stdout [file report/mypy-html.css] [file report/index.html] [outfile report/html/n.py.html]

n

n.py 
1
2
3

import sys

old_stdout = sys.stdout
[case testAnyExprReportIncludesDeadCode] # cmd: mypy --any-exprs-report report i.py j.py [file i.py] def bar(x): # type: (str) -> None print(x) assert False print(x) # dead code! [file j.py] def bar(x): # type: (str) -> None print(x) assert False [file report/types-of-anys.txt] [outfile report/any-exprs.txt] Name Anys Exprs Coverage --------------------------------- i 1 6 83.33% j 0 5 100.00% --------------------------------- Total 1 11 90.91% [case testAnyExprReportHigherKindedTypesAreNotAny] # cmd: mypy --any-exprs-report report i.py [file i.py] from enum import Enum from typing import NewType, NamedTuple, TypedDict, TypeVar T = TypeVar('T') # no error def f(t: T) -> T: return t Point = NamedTuple('Point', [('x', int), ('y', int)]) # no error def origin() -> Point: return Point(x=0, y=0) NT = NewType('NT', int) # no error def nt() -> NT: return NT(1) E = Enum('E', '1, 2, 3') # no error def k(s: E) -> None: pass Movie = TypedDict('Movie', {'name': str, 'year': int}) def g(m: Movie) -> Movie: return m [file report/types-of-anys.txt] [outfile report/any-exprs.txt] Name Anys Exprs Coverage --------------------------------- i 0 14 100.00% --------------------------------- Total 0 14 100.00% [case testAnyExpressionsReportTypesOfAny] # cmd: mypy --any-exprs-report report n.py [file n.py] from typing import Any, List from nonexistent import C # type: ignore def any_f(x: Any) -> None: # Explicit pass def a(x) -> None: # Unannotated any_f(x) x: Any = 2 # Explicit y: C = None # Unimported def b() -> List: # Omitted Generics return [1, 2, 3] g = 1 z = g.does_not_exist() # type: ignore # Error [file report/any-exprs.txt] [outfile report/types-of-anys.txt] Name Unannotated Explicit Unimported Omitted Generics Error Special Form Implementation Artifact ----------------------------------------------------------------------------------------------------------------- n 2 3 1 1 3 0 0 ----------------------------------------------------------------------------------------------------------------- Total 2 3 1 1 3 0 0 [case testAnyExpressionsReportUnqualifiedError] # cmd: mypy --any-exprs-report report n.py [file n.py] z = does_not_exist() # type: ignore # Error [file report/any-exprs.txt] [outfile report/types-of-anys.txt] Name Unannotated Explicit Unimported Omitted Generics Error Special Form Implementation Artifact ----------------------------------------------------------------------------------------------------------------- n 0 0 0 0 3 0 0 ----------------------------------------------------------------------------------------------------------------- Total 0 0 0 0 3 0 0 [case testAnyExpressionsReportUntypedDef] # cmd: mypy --any-exprs-report report n.py [file n.py] def foo(): x = 0 f = 0 [file report/any-exprs.txt] [outfile report/types-of-anys.txt] Name Unannotated Explicit Unimported Omitted Generics Error Special Form Implementation Artifact ----------------------------------------------------------------------------------------------------------------- n 0 0 0 0 0 0 0 ----------------------------------------------------------------------------------------------------------------- Total 0 0 0 0 0 0 0 [case testTrickyCoverage] # cmd: mypy --linecoverage-report=report n.py [file n.py] def blah(x): return x @blah def f(x: int) -> None: pass class Foo: @blah #hi def f(self, x: int) -> None: pass @blah class Z(object): pass [case testCoverageIgnoresCache] -- Performs two runs to verify that cached information does not prevent -- modules from being included in reports. # cmd: mypy --linecount-report report a.py [file a.py] empty = False [out] [out2] [outfile report/linecount.txt] 1 1 0 0 total 1 1 0 0 a [case testAnyExprReportIgnoresSpecialForms] # cmd: mypy --any-exprs-report report i.py j.py k.py l.py [file i.py] async def some_function() -> None: pass [file j.py] from typing import Any async def some_function() -> Any: pass [file k.py] from typing import NamedTuple def a() -> None: _FuzzyMatch(0, 0) _FuzzyMatch = NamedTuple('_FuzzyMatch', [ ('match_length', int), ('start_pos', int), ]) def b() -> None: _FuzzyMatch(0, 0) [file l.py] async def some_function(x) -> None: pass [file report/any-exprs.txt] [outfile report/types-of-anys.txt] Name Unannotated Explicit Unimported Omitted Generics Error Special Form Implementation Artifact ----------------------------------------------------------------------------------------------------------------- i 0 0 0 0 0 0 0 j 0 1 0 0 0 0 0 k 0 0 0 0 0 0 0 l 1 0 0 0 0 0 0 ----------------------------------------------------------------------------------------------------------------- Total 1 1 0 0 0 0 0 [case testSpecialAnyHtmlReport] # cmd: mypy --html-report report n.py [file n.py] from typing import Callable SourceToDisplay = Callable[[int], int] DisplayToSource = Callable[[int], int] [file report/mypy-html.css] [file report/index.html] [outfile report/html/n.py.html]

n

n.py 
1
2
3
4

from typing import Callable

SourceToDisplay = Callable[[int], int]
DisplayToSource = Callable[[int], int]
[case testHtmlReportOnNamespacePackagesWithExplicitBases] # cmd: mypy --html-report report -p folder [file folder/subfolder/something.py] class Something: pass [file folder/main.py] from .subfolder.something import Something print(Something()) [file folder/__init__.py] [file mypy.ini] \[mypy] explicit_package_bases = True namespace_packages = True [file report/mypy-html.css] [file report/index.html] [outfile report/html/folder/subfolder/something.py.html]

folder.subfolder.something

folder/subfolder/something.py 
1
2

class Something:
    pass
[case testLinecountReportCrashOnNamespacePackages] # cmd: mypy --linecount-report report -p folder -- Regression test for https://github.com/python/mypy/issues/15979 [file folder/subfolder/something.py] class Something: pass [case testReportIsADirectoryErrorCrashOnNamespacePackages] # cmd: mypy --linecoverage-report report -p folder -- Regression test for https://github.com/python/mypy/issues/18128 -- "IsADirectoryError for namespace packages when using --linecoverage-report" [file folder/subfolder/something.py] class Something: pass [case testReportCoberturaCrashOnNamespacePackages] # cmd: mypy --cobertura-xml-report report -p folder -- Regression test for https://github.com/python/mypy/issues/19843 [file folder/subfolder/something.py] -- This output is not important, but due to the way tests are run we need to check it. [outfile report/cobertura.xml] $PWD ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-abstractclasses.test0000644000175100017510000000462015112307767022626 0ustar00runnerrunner[case testAbstractMethods] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): @abstractmethod def g(self) -> 'A': pass @abstractmethod def f(self) -> 'A': return self [out] MypyFile:1( ImportFrom:1(abc, [abstractmethod, ABCMeta]) Import:2(typing) ClassDef:4( A Metaclass(NameExpr(ABCMeta [abc.ABCMeta])) Decorator:5( Var(g) FuncDef:6( g Args( Var(self)) def (self: __main__.A) -> __main__.A Abstract Block:6( PassStmt:6()))) Decorator:7( Var(f) FuncDef:8( f Args( Var(self)) def (self: __main__.A) -> __main__.A Abstract Block:8( ReturnStmt:8( NameExpr(self [l]))))))) [case testClassInheritingTwoAbstractClasses] from abc import abstractmethod, ABCMeta import typing class A(metaclass=ABCMeta): pass class B(metaclass=ABCMeta): pass class C(A, B): pass [out] MypyFile:1( ImportFrom:1(abc, [abstractmethod, ABCMeta]) Import:2(typing) ClassDef:4( A Metaclass(NameExpr(ABCMeta [abc.ABCMeta])) PassStmt:4()) ClassDef:5( B Metaclass(NameExpr(ABCMeta [abc.ABCMeta])) PassStmt:5()) ClassDef:6( C BaseType( __main__.A __main__.B) PassStmt:6())) [case testAbstractGenericClass] from abc import abstractmethod from typing import Generic, TypeVar T = TypeVar('T') class A(Generic[T]): @abstractmethod def f(self) -> 'A[T]': pass [out] MypyFile:1( ImportFrom:1(abc, [abstractmethod]) ImportFrom:2(typing, [Generic, TypeVar]) AssignmentStmt:3( NameExpr(T* [__main__.T]) TypeVarExpr:3()) ClassDef:4( A TypeVars( T`1) Decorator:5( Var(f) FuncDef:6( f Args( Var(self)) def (self: __main__.A[T`1]) -> __main__.A[T`1] Abstract Block:6( PassStmt:6()))))) [case testFullyQualifiedAbstractMethodDecl] import abc from abc import ABCMeta import typing class A(metaclass=ABCMeta): @abc.abstractmethod def g(self) -> 'A': pass [out] MypyFile:1( Import:1(abc) ImportFrom:2(abc, [ABCMeta]) Import:3(typing) ClassDef:5( A Metaclass(NameExpr(ABCMeta [abc.ABCMeta])) Decorator:6( Var(g) FuncDef:7( g Args( Var(self)) def (self: __main__.A) -> __main__.A Abstract Block:7( PassStmt:7()))))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-basic.test0000644000175100017510000002166715112307767020540 0ustar00runnerrunner[case testEmptyFile] [out] MypyFile:1() [case testGlobalVariable] x = 1 x [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) ExpressionStmt:2( NameExpr(x [__main__.x]))) [case testMultipleGlobals] x = y = 2 z = 3 (x, y, z) [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(2)) AssignmentStmt:2( NameExpr(z [__main__.z]) IntExpr(3) builtins.int) ExpressionStmt:3( TupleExpr:3( NameExpr(x [__main__.x]) NameExpr(y [__main__.y]) NameExpr(z [__main__.z])))) [case testEmptyFunction] def f(): pass f() [out] MypyFile:1( FuncDef:1( f Block:1( PassStmt:1())) ExpressionStmt:2( CallExpr:2( NameExpr(f [__main__.f]) Args()))) [case testAccessingGlobalNameBeforeDefinition] # flags: --disable-error-code used-before-def x f() x = 1 def f(): pass [out] MypyFile:1( ExpressionStmt:2( NameExpr(x [__main__.x])) ExpressionStmt:3( CallExpr:3( NameExpr(f [__main__.f]) Args())) AssignmentStmt:4( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) FuncDef:5( f Block:5( PassStmt:5()))) [case testFunctionArgs] def f(x, y): (x, y) [out] MypyFile:1( FuncDef:1( f Args( Var(x) Var(y)) Block:2( ExpressionStmt:2( TupleExpr:2( NameExpr(x [l]) NameExpr(y [l])))))) [case testLocalVar] def f(): x = 1 x [out] MypyFile:1( FuncDef:1( f Block:2( AssignmentStmt:2( NameExpr(x* [l]) IntExpr(1)) ExpressionStmt:3( NameExpr(x [l]))))) [case testAccessGlobalInFn] def f(): x g() x = 1 def g(): pass [out] MypyFile:1( FuncDef:1( f Block:2( ExpressionStmt:2( NameExpr(x [__main__.x])) ExpressionStmt:3( CallExpr:3( NameExpr(g [__main__.g]) Args())))) AssignmentStmt:4( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) FuncDef:5( g Block:5( PassStmt:5()))) [case testAssignmentAfterInit] x = 1 x = 2 def f(y): y = 1 z = 1 z = 2 [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) AssignmentStmt:2( NameExpr(x [__main__.x]) IntExpr(2)) FuncDef:3( f Args( Var(y)) Block:4( AssignmentStmt:4( NameExpr(y [l]) IntExpr(1)) AssignmentStmt:5( NameExpr(z* [l]) IntExpr(1)) AssignmentStmt:6( NameExpr(z [l]) IntExpr(2))))) [case testLocalAndGlobalAliasing] x = 1 def f(): x = 2 x x [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) FuncDef:2( f Block:3( AssignmentStmt:3( NameExpr(x* [l]) IntExpr(2)) ExpressionStmt:4( NameExpr(x [l])))) ExpressionStmt:5( NameExpr(x [__main__.x]))) [case testArgumentInitializers] def f(x = f, y = object): x, y [out] MypyFile:1( FuncDef:1( f Args( default( Var(x) NameExpr(f [__main__.f])) default( Var(y) NameExpr(object [builtins.object]))) Block:2( ExpressionStmt:2( TupleExpr:2( NameExpr(x [l]) NameExpr(y [l])))))) [case testVarArgs] def f(x, *y): x, y [out] MypyFile:1( FuncDef:1( f Args( Var(x)) VarArg( Var(y)) Block:2( ExpressionStmt:2( TupleExpr:2( NameExpr(x [l]) NameExpr(y [l])))))) [case testGlobalDecl] x = None def f(): global x x = None x class A: pass [out] MypyFile:1( AssignmentStmt:1( NameExpr(x* [__main__.x]) NameExpr(None [builtins.None])) FuncDef:2( f Block:3( GlobalDecl:3( x) AssignmentStmt:4( NameExpr(x [__main__.x]) NameExpr(None [builtins.None])) ExpressionStmt:5( NameExpr(x [__main__.x])))) ClassDef:6( A PassStmt:6())) [case testMultipleNamesInGlobalDecl] x, y = None, None def f(): global x, y x = y [out] MypyFile:1( AssignmentStmt:1( TupleExpr:1( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) TupleExpr:1( NameExpr(None [builtins.None]) NameExpr(None [builtins.None]))) FuncDef:2( f Block:3( GlobalDecl:3( x y) AssignmentStmt:4( NameExpr(x [__main__.x]) NameExpr(y [__main__.y]))))) [case testGlobalDeclScope] x = None def f(): global x def g(): x = None [out] MypyFile:1( AssignmentStmt:1( NameExpr(x* [__main__.x]) NameExpr(None [builtins.None])) FuncDef:2( f Block:3( GlobalDecl:3( x))) FuncDef:4( g Block:5( AssignmentStmt:5( NameExpr(x* [l]) NameExpr(None [builtins.None]))))) [case testGlobalDeclScope2] x = None def f(): global x def g(): x = None [out] MypyFile:1( AssignmentStmt:1( NameExpr(x* [__main__.x]) NameExpr(None [builtins.None])) FuncDef:2( f Block:3( GlobalDecl:3( x))) FuncDef:4( g Block:5( AssignmentStmt:5( NameExpr(x* [l]) NameExpr(None [builtins.None]))))) [case testGlobalWithinMethod] x = None class A: def f(self): global x x = self [out] MypyFile:1( AssignmentStmt:1( NameExpr(x* [__main__.x]) NameExpr(None [builtins.None])) ClassDef:2( A FuncDef:3( f Args( Var(self)) Block:4( GlobalDecl:4( x) AssignmentStmt:5( NameExpr(x [__main__.x]) NameExpr(self [l])))))) [case testGlobalDefinedInBlock] # flags: --allow-redefinition if object: x = object() x = x x [out] MypyFile:1( IfStmt:2( If( NameExpr(object [builtins.object])) Then( AssignmentStmt:3( NameExpr(x'* [__main__.x']) CallExpr:3( NameExpr(object [builtins.object]) Args())) AssignmentStmt:4( NameExpr(x* [__main__.x]) NameExpr(x' [__main__.x'])))) ExpressionStmt:5( NameExpr(x [__main__.x]))) [case testNonlocalDecl] def g(): x = None def f(): nonlocal x x = None x [out] MypyFile:1( FuncDef:1( g Block:2( AssignmentStmt:2( NameExpr(x* [l]) NameExpr(None [builtins.None])) FuncDef:3( f Block:4( NonlocalDecl:4( x) AssignmentStmt:5( NameExpr(x [l]) NameExpr(None [builtins.None])) ExpressionStmt:6( NameExpr(x [l]))))))) [case testNonlocalClass] def f() -> None: a = 0 class C: nonlocal a a = 1 [out] MypyFile:1( FuncDef:1( f def () Block:2( AssignmentStmt:2( NameExpr(a* [l]) IntExpr(0)) ClassDef:3( C NonlocalDecl:4( a) AssignmentStmt:5( NameExpr(a* [m]) IntExpr(1)))))) [case testMultipleNamesInNonlocalDecl] def g(): x, y = None, None def f(z): nonlocal x, y x = y [out] MypyFile:1( FuncDef:1( g Block:2( AssignmentStmt:2( TupleExpr:2( NameExpr(x* [l]) NameExpr(y* [l])) TupleExpr:2( NameExpr(None [builtins.None]) NameExpr(None [builtins.None]))) FuncDef:3( f Args( Var(z)) Block:4( NonlocalDecl:4( x y) AssignmentStmt:5( NameExpr(x [l]) NameExpr(y [l]))))))) [case testNestedFunctions] def f(x): def g(y): z = y + x return g [out] MypyFile:1( FuncDef:1( f Args( Var(x)) Block:2( FuncDef:2( g Args( Var(y)) Block:3( AssignmentStmt:3( NameExpr(z* [l]) OpExpr:3( + NameExpr(y [l]) NameExpr(x [l]))))) ReturnStmt:4( NameExpr(g [l]))))) [case testNestedFunctionWithOverlappingName] def f(x): def g(): x = 1 [out] MypyFile:1( FuncDef:1( f Args( Var(x)) Block:2( FuncDef:2( g Block:3( AssignmentStmt:3( NameExpr(x* [l]) IntExpr(1))))))) [case testFinalValuesOnVar] from typing import Final, Any def func() -> Any: ... x: Final = 1 y: Final = 1.0 s: Final = "hi" t: Final = True n: Final = func() [out] MypyFile:1( ImportFrom:1(typing, [Final, Any]) FuncDef:3( func def () -> Any Block:3( ExpressionStmt:3( Ellipsis))) AssignmentStmt:4( NameExpr(x [__main__.x] = 1) IntExpr(1) Literal[1]?) AssignmentStmt:5( NameExpr(y [__main__.y] = 1.0) FloatExpr(1.0) Literal[1.0]?) AssignmentStmt:6( NameExpr(s [__main__.s] = hi) StrExpr(hi) Literal['hi']?) AssignmentStmt:7( NameExpr(t [__main__.t] = True) NameExpr(True [builtins.True]) Literal[True]?) AssignmentStmt:8( NameExpr(n* [__main__.n]) CallExpr:8( NameExpr(func [__main__.func]) Args()))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-classes.test0000644000175100017510000002607515112307767021112 0ustar00runnerrunner-- Test cases related to classes for the semantic analyzer. [case testSimpleClass] class A: pass x = A [out] MypyFile:1( ClassDef:1( A PassStmt:1()) AssignmentStmt:2( NameExpr(x* [__main__.x]) NameExpr(A [__main__.A]))) [case testMethods] class A: def __init__(self, x): y = x def f(self): y = self [out] MypyFile:1( ClassDef:1( A FuncDef:2( __init__ Args( Var(self) Var(x)) Block:3( AssignmentStmt:3( NameExpr(y* [l]) NameExpr(x [l])))) FuncDef:4( f Args( Var(self)) Block:5( AssignmentStmt:5( NameExpr(y* [l]) NameExpr(self [l])))))) [case testMemberDefinitionInInit] class A: def __init__(self): self.x = 1 self.y = 2 [out] MypyFile:1( ClassDef:1( A FuncDef:2( __init__ Args( Var(self)) Block:3( AssignmentStmt:3( MemberExpr:3( NameExpr(self [l]) x*) IntExpr(1)) AssignmentStmt:4( MemberExpr:4( NameExpr(self [l]) y*) IntExpr(2)))))) [case testMemberAssignmentViaSelfOutsideInit] class A: def f(self): self.x = 1 def __init__(self): self.y = 1 [out] MypyFile:1( ClassDef:1( A FuncDef:2( f Args( Var(self)) Block:3( AssignmentStmt:3( MemberExpr:3( NameExpr(self [l]) x*) IntExpr(1))))) FuncDef:4( __init__ Args( Var(self)) Block:5( AssignmentStmt:5( MemberExpr:5( NameExpr(self [l]) y) IntExpr(1))))) [case testMemberAssignmentNotViaSelf] class A: def __init__(x, self): self.y = 1 # not really self class B: def __init__(x): self = x self.z = 1 [out] MypyFile:1( ClassDef:1( A FuncDef:2( __init__ Args( Var(x) Var(self)) Block:3( AssignmentStmt:3( MemberExpr:3( NameExpr(self [l]) y) IntExpr(1))))) ClassDef:4( B FuncDef:5( __init__ Args( Var(x)) Block:6( AssignmentStmt:6( NameExpr(self* [l]) NameExpr(x [l])) AssignmentStmt:7( MemberExpr:7( NameExpr(self [l]) z) IntExpr(1)))))) [case testNonStandardNameForSelfAndInit] class A: def __init__(x): x.y = 1 [out] MypyFile:1( ClassDef:1( A FuncDef:2( __init__ Args( Var(x)) Block:3( AssignmentStmt:3( MemberExpr:3( NameExpr(x [l]) y*) IntExpr(1)))))) [case testAssignmentAfterAttributeInit] class A: def __init__(self): self.x = 1 self.x = 2 [out] MypyFile:1( ClassDef:1( A FuncDef:2( __init__ Args( Var(self)) Block:3( AssignmentStmt:3( MemberExpr:3( NameExpr(self [l]) x*) IntExpr(1)) AssignmentStmt:4( MemberExpr:4( NameExpr(self [l]) x) IntExpr(2)))))) [case testOverloadedMethod] from typing import overload class A: @overload def f(self) -> None: self @overload def f(self, x: 'A') -> None: self def f(self, *args): self [out] MypyFile:1( ImportFrom:1(typing, [overload]) ClassDef:2( A OverloadedFuncDef:3( FuncDef:7( f Args( Var(self)) VarArg( Var(args)) Block:7( ExpressionStmt:7( NameExpr(self [l])))) Overload(def (self: __main__.A), \ def (self: __main__.A, x: __main__.A)) Decorator:3( Var(f) NameExpr(overload [typing.overload]) FuncDef:4( f Args( Var(self)) def (self: __main__.A) Block:4( ExpressionStmt:4( NameExpr(self [l]))))) Decorator:5( Var(f) NameExpr(overload [typing.overload]) FuncDef:6( f Args( Var(self) Var(x)) def (self: __main__.A, x: __main__.A) Block:6( ExpressionStmt:6( NameExpr(self [l])))))))) [case testAttributeWithoutType] class A: a = object [out] MypyFile:1( ClassDef:1( A AssignmentStmt:2( NameExpr(a* [m]) NameExpr(object [builtins.object])))) [case testDataAttributeRefInClassBody] class A: x = 1 y = x [out] MypyFile:1( ClassDef:1( A AssignmentStmt:2( NameExpr(x [m]) IntExpr(1) builtins.int) AssignmentStmt:3( NameExpr(y* [m]) NameExpr(x [__main__.A.x])))) [case testMethodRefInClassBody] class A: def f(self): pass g = f [out] MypyFile:1( ClassDef:1( A FuncDef:2( f Args( Var(self)) Block:2( PassStmt:2())) AssignmentStmt:3( NameExpr(g* [m]) NameExpr(f [__main__.A.f])))) [case testIfStatementInClassBody] class A: if A: x = 1 else: x = 2 [out] MypyFile:1( ClassDef:1( A IfStmt:2( If( NameExpr(A [__main__.A])) Then( AssignmentStmt:3( NameExpr(x [m]) IntExpr(1) builtins.int)) Else( AssignmentStmt:5( NameExpr(x [__main__.A.x]) IntExpr(2)))))) [case testForStatementInClassBody] class A: for x in [1, 2]: y = x [out] MypyFile:1( ClassDef:1( A ForStmt:2( NameExpr(x* [m]) ListExpr:2( IntExpr(1) IntExpr(2)) Block:3( AssignmentStmt:3( NameExpr(y* [m]) NameExpr(x [__main__.A.x])))))) [case testReferenceToClassWithinFunction] def f(): class A: pass A [out] MypyFile:1( FuncDef:1( f Block:2( ClassDef:2( A PassStmt:2()) ExpressionStmt:3( NameExpr(A [__main__.A@2]))))) [case testReferenceToClassWithinClass] class A: class B: pass B [out] MypyFile:1( ClassDef:1( A ClassDef:2( B PassStmt:2()) ExpressionStmt:3( NameExpr(B [__main__.A.B])))) [case testClassWithBaseClassWithinClass] class A: class B: pass class C(B): pass [out] MypyFile:1( ClassDef:1( A ClassDef:2( B PassStmt:2()) ClassDef:3( C BaseType( __main__.A.B) PassStmt:3()))) [case testDeclarationReferenceToNestedClass] def f() -> None: class A: pass x = None # type: A [out] MypyFile:1( FuncDef:1( f def () Block:2( ClassDef:2( A PassStmt:2()) AssignmentStmt:3( NameExpr(x [l]) NameExpr(None [builtins.None]) __main__.A@2)))) [case testAccessToLocalInOuterScopeWithinNestedClass] def f(x): class A: y = x def g(self): z = x [out] MypyFile:1( FuncDef:1( f Args( Var(x)) Block:2( ClassDef:2( A AssignmentStmt:3( NameExpr(y* [m]) NameExpr(x [l])) FuncDef:4( g Args( Var(self)) Block:5( AssignmentStmt:5( NameExpr(z* [l]) NameExpr(x [l])))))))) [case testQualifiedMetaclass] import abc class A(metaclass=abc.ABCMeta): pass [out] MypyFile:1( Import:1(abc) ClassDef:2( A Metaclass(MemberExpr:2( NameExpr(abc) ABCMeta [abc.ABCMeta])) PassStmt:2())) [case testStaticMethod] class A: @staticmethod def f(z: int) -> str: pass [builtins fixtures/staticmethod.pyi] [out] MypyFile:1( ClassDef:1( A Decorator:2( Var(f) FuncDef:3( f Args( Var(z)) def (z: builtins.int) -> builtins.str Static Block:3( PassStmt:3()))))) [case testStaticMethodWithNoArgs] class A: @staticmethod def f() -> str: pass [builtins fixtures/staticmethod.pyi] [out] MypyFile:1( ClassDef:1( A Decorator:2( Var(f) FuncDef:3( f def () -> builtins.str Static Block:3( PassStmt:3()))))) [case testClassMethod] class A: @classmethod def f(cls, z: int) -> str: pass [builtins fixtures/classmethod.pyi] [out] MypyFile:1( ClassDef:1( A Decorator:2( Var(f) FuncDef:3( f Args( Var(cls) Var(z)) def (cls: type[__main__.A], z: builtins.int) -> builtins.str Class Block:3( PassStmt:3()))))) [case testClassMethodWithNoArgs] class A: @classmethod def f(cls) -> str: pass [builtins fixtures/classmethod.pyi] [out] MypyFile:1( ClassDef:1( A Decorator:2( Var(f) FuncDef:3( f Args( Var(cls)) def (cls: type[__main__.A]) -> builtins.str Class Block:3( PassStmt:3()))))) [case testProperty] import typing class A: @property def f(self) -> str: pass [builtins fixtures/property.pyi] [out] MypyFile:1( Import:1(typing) ClassDef:2( A Decorator:3( Var(f) FuncDef:4( f Args( Var(self)) def (self: __main__.A) -> builtins.str Property Block:4( PassStmt:4()))))) [case testClassDecorator] import typing @object class A: pass [out] MypyFile:1( Import:1(typing) ClassDef:3( A Decorators( NameExpr(object [builtins.object])) PassStmt:3())) [case testClassAttributeAsMethodDefaultArgumentValue] import typing class A: X = 1 def f(self, x : int = X) -> None: pass [out] MypyFile:1( Import:1(typing) ClassDef:2( A AssignmentStmt:3( NameExpr(X [m]) IntExpr(1) builtins.int) FuncDef:4( f Args( Var(self) default( Var(x) NameExpr(X [__main__.A.X]))) def (self: __main__.A, x: builtins.int =) Block:4( PassStmt:4())))) [case testInvalidBaseClass] from typing import Any, Callable class A(None): pass class B(Any): pass class C(Callable[[], int]): pass [out] main:3: error: Invalid base class "None" main:5: error: Invalid base class "Callable" [case testTupleAsBaseClass] import m [file m.pyi] from typing import Tuple class A(Tuple[int, str]): pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( Import:2(m)) MypyFile:1( tmp/m.pyi ImportFrom:1(typing, [Tuple]) ClassDef:2( A TupleType( tuple[builtins.int, builtins.str]) BaseType( builtins.tuple[Union[builtins.int, builtins.str], ...]) PassStmt:2())) [case testBaseClassFromIgnoredModule] import m # type: ignore class B(m.A): pass [out] MypyFile:1( Import:1(m) ClassDef:2( B FallbackToAny PassStmt:3()) IgnoredLines(1)) [case testBaseClassFromIgnoredModuleUsingImportFrom] from m import A # type: ignore class B(A, int): pass [out] MypyFile:1( ImportFrom:1(m, [A]) ClassDef:2( B FallbackToAny BaseType( builtins.int) PassStmt:3()) IgnoredLines(1)) [case testBaseClassWithExplicitAnyType] from typing import Any A = 1 # type: Any class B(A): pass [out] MypyFile:1( ImportFrom:1(typing, [Any]) AssignmentStmt:2( NameExpr(A [__main__.A]) IntExpr(1) Any) ClassDef:3( B FallbackToAny PassStmt:4())) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-classvar.test0000644000175100017510000001262015112307767021262 0ustar00runnerrunner[case testClassVarDef] from typing import ClassVar class A: x = 1 # type: ClassVar[int] [out] MypyFile:1( ImportFrom:1(typing, [ClassVar]) ClassDef:2( A AssignmentStmt:3( NameExpr(x [m]) IntExpr(1) builtins.int))) [case testClassVarDefInModuleScope] from typing import ClassVar x = None # type: ClassVar[int] [out] main:2: error: ClassVar can only be used for assignments in class body [case testClassVarDefInFuncScope] from typing import ClassVar def f() -> None: x = None # type: ClassVar[int] [out] main:3: error: ClassVar can only be used for assignments in class body [case testClassVarDefInMethod] from typing import ClassVar class A: def f(self) -> None: x = None # type: ClassVar [out] main:4: error: ClassVar can only be used for assignments in class body [case testClassVarTooManyArguments] from typing import ClassVar class A: x = 1 # type: ClassVar[int, str] [out] main:3: error: ClassVar[...] must have at most one type argument [case testClassVarWithoutArguments] from typing import ClassVar class A: x = 1 # type: ClassVar [out] MypyFile:1( ImportFrom:1(typing, [ClassVar]) ClassDef:2( A AssignmentStmt:3( NameExpr(x [m]) IntExpr(1) builtins.int))) [case testClassVarWithTypeVar] from typing import ClassVar, TypeVar T = TypeVar('T') class A: x = None # type: ClassVar[T] [out] main:5: error: Type variable "__main__.T" is unbound main:5: note: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) main:5: note: (Hint: Use "T" in function signature to bind "T" inside a function) [case testClassVarInFunctionArgs] from typing import ClassVar def f(x: str, y: ClassVar) -> None: pass [out] main:2: error: ClassVar can only be used for assignments in class body [case testClassVarInMethodArgs] from typing import ClassVar class A: def f(x: str, y: ClassVar) -> None: pass [out] main:3: error: ClassVar can only be used for assignments in class body [case testClassVarFunctionRetType] from typing import ClassVar def f() -> ClassVar: pass [out] main:2: error: ClassVar can only be used for assignments in class body [case testClassVarMethodRetType] from typing import ClassVar class A: def f(self) -> ClassVar: pass [out] main:3: error: ClassVar can only be used for assignments in class body [case testMultipleClassVarInFunctionSig] from typing import ClassVar def f(x: ClassVar, y: ClassVar) -> ClassVar: pass [out] main:2: error: ClassVar can only be used for assignments in class body [case testClassVarInCallableArgs] from typing import Callable, ClassVar, Any f = None # type: Callable[[int, ClassVar], Any] [out] main:2: error: Invalid type: ClassVar nested inside other type [case testClassVarInCallableRet] from typing import Callable, ClassVar f = None # type: Callable[..., ClassVar] [out] main:2: error: Invalid type: ClassVar nested inside other type [case testClassVarInUnion] from typing import ClassVar, Union x = None # type: Union[ClassVar, str] [out] main:2: error: Invalid type: ClassVar nested inside other type [case testClassVarInUnionAsAttribute] from typing import ClassVar, Union class A: x = None # type: Union[ClassVar, str] [out] main:3: error: Invalid type: ClassVar nested inside other type [case testListWithClassVars] from typing import ClassVar, List x = [] # type: List[ClassVar] [builtins fixtures/list.pyi] [out] main:2: error: Invalid type: ClassVar nested inside other type [case testTupleClassVar] from typing import ClassVar, Tuple x = None # type: Tuple[ClassVar, int] [builtins fixtures/tuple.pyi] [out] main:2: error: Invalid type: ClassVar nested inside other type [case testMultipleLvaluesWithList] from typing import ClassVar, Tuple class A: [x, y] = None, None # type: Tuple[ClassVar, ClassVar] [builtins fixtures/tuple.pyi] [out] main:3: error: Invalid type: ClassVar nested inside other type [case testDeeplyNested] from typing import Callable, ClassVar, Union class A: pass class B: x = None # type: Union[str, Callable[[A, ClassVar], int]] [out] main:4: error: Invalid type: ClassVar nested inside other type [case testClassVarInClassVar] from typing import ClassVar class A: x = None # type: ClassVar[ClassVar[int]] [out] main:3: error: Invalid type: ClassVar nested inside other type [case testInsideGeneric] from typing import ClassVar, Generic, TypeVar T = TypeVar('T') class A(Generic[T]): pass class B: x = None # type: A[ClassVar] [out] main:5: error: Invalid type: ClassVar nested inside other type [case testDefineOnSelf] from typing import ClassVar class A: def __init__(self) -> None: self.x = None # type: ClassVar [out] main:4: error: ClassVar can only be used for assignments in class body [case testForIndex] from typing import ClassVar for i in []: # type: ClassVar pass [out] main:2: error: ClassVar can only be used for assignments in class body [case testForIndexInClassBody] from typing import ClassVar class A: for i in []: # type: ClassVar pass [out] main:3: error: ClassVar can only be used for assignments in class body [case testWithStmt] from typing import ClassVar class A: pass with A() as x: # type: ClassVar pass [out] main:3: error: ClassVar can only be used for assignments in class body [case testWithStmtInClassBody] from typing import ClassVar class A: pass class B: with A() as x: # type: ClassVar pass [out] main:4: error: ClassVar can only be used for assignments in class body ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-errors-python310.test0000644000175100017510000000125615112307767022526 0ustar00runnerrunner[case testMatchUndefinedSubject] import typing match x: case _: pass [out] main:2: error: Name "x" is not defined [case testMatchUndefinedValuePattern] import typing x = 1 match x: case a.b: pass [out] main:4: error: Name "a" is not defined [case testMatchUndefinedClassPattern] import typing x = 1 match x: case A(): pass [out] main:4: error: Name "A" is not defined [case testNoneBindingWildcardPattern] import typing x = 1 match x: case _: _ [out] main:5: error: Name "_" is not defined [case testNoneBindingStarredWildcardPattern] import typing x = 1 match x: case [*_]: _ [out] main:5: error: Name "_" is not defined ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-errors.test0000644000175100017510000011330515112307767020762 0ustar00runnerrunner[case testUndefinedVariableInGlobalStatement] import typing x y [out] main:2: error: Name "x" is not defined main:3: error: Name "y" is not defined [case testUndefinedVariableWithinFunctionContext] import typing def f() -> None: x y [out] main:3: error: Name "x" is not defined main:4: error: Name "y" is not defined [case testMethodScope] import typing class A: def f(self): pass f [out] main:4: error: Name "f" is not defined [case testMethodScope2] import typing class A: def f(self): pass class B: def g(self) -> None: f # error g # error [out] main:6: error: Name "f" is not defined main:7: error: Name "g" is not defined [case testInvalidType] import typing x = None # type: X [out] main:2: error: Name "X" is not defined [case testInvalidGenericArg] from typing import TypeVar, Generic t = TypeVar('t') class A(Generic[t]): pass x = 0 # type: A[y] [out] main:4: error: Name "y" is not defined [case testInvalidNumberOfGenericArgsInTypeDecl] from typing import TypeVar, Generic t = TypeVar('t') class A: pass class B(Generic[t]): pass x = 0 # type: B[A, A] y = 0 # type: A[A] [out] main:5: error: "B" expects 1 type argument, but 2 given main:6: error: "A" expects no type arguments, but 1 given [case testInvalidNumberOfGenericArgsInUndefinedArg] class A: pass x = None # type: A[int] # E: "A" expects no type arguments, but 1 given [out] [case testInvalidNumberOfGenericArgsInNestedBlock] class A: pass class B: def f(self) -> None: while 1: x = None # type: A[int] \ # E: "A" expects no type arguments, but 1 given [out] [case testInvalidNumberOfGenericArgsInSignature] import typing class A: pass def f() -> A[int]: pass # E: "A" expects no type arguments, but 1 given [out] [case testInvalidNumberOfGenericArgsInOverloadedSignature] from typing import overload class A: pass @overload def f(): pass @overload def f(x: A[int]) -> None: pass # E: "A" expects no type arguments, but 1 given def f(*args): pass [out] [case testInvalidNumberOfGenericArgsInBaseType] import typing class A: pass class B(A[int]): pass # E: "A" expects no type arguments, but 1 given [out] [case testInvalidNumberOfGenericArgsInCast] from typing import cast class A: pass x = cast(A[int], 1) # E: "A" expects no type arguments, but 1 given [out] [case testInvalidNumberOfGenericArgsInNestedGenericType] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass class B: pass def f() -> A[B[int]]: pass # E: "B" expects no type arguments, but 1 given [out] [case testInvalidNumberOfGenericArgsInTupleType] from typing import Tuple class A: pass x = None # type: Tuple[A[int]] # E: "A" expects no type arguments, but 1 given [builtins fixtures/tuple.pyi] [out] [case testInvalidNumberOfGenericArgsInFunctionType] from typing import Callable class A: pass x = None # type: Callable[[A[int]], int] # E: "A" expects no type arguments, but 1 given y = None # type: Callable[[], A[int]] # E: "A" expects no type arguments, but 1 given [out] [case testVarOrFuncAsType] import typing def f(): pass x = 1 y = 0 # type: f z = 0 # type: x [out] main:5: error: Function "__main__.f" is not valid as a type main:5: note: Perhaps you need "Callable[...]" or a callback protocol? main:6: error: Variable "__main__.x" is not valid as a type main:6: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testGlobalVarRedefinition] import typing class A: pass x = 0 # type: A x = 0 # type: A [out] main:4: error: Name "x" already defined on line 3 [case testLocalVarRedefinition] import typing class A: pass def f() -> None: x = 0 # type: A x = 0 # type: A [out] main:5: error: Name "x" already defined on line 4 [case testClassVarRedefinition] import typing class A: x = 0 # type: object x = 0 # type: object [out] main:4: error: Name "x" already defined on line 3 [case testMultipleClassDefinitions] import typing class A: pass class A: pass [out] main:3: error: Name "A" already defined on line 2 [case testMultipleMixedDefinitions] import typing x = 1 def x(): pass class x: pass [out] main:3: error: Name "x" already defined on line 2 main:4: error: Name "x" already defined on line 2 [case testNameNotImported] import typing from m import y x [file m.py] x = y = 1 [out] main:3: error: Name "x" is not defined [case testMissingNameInImportFrom] import typing from m import y [file m.py] x = 1 [out] main:2: error: Module "m" has no attribute "y" [case testMissingModule] import typing import m [out] main:2: error: Cannot find implementation or library stub for module named "m" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testMissingModule2] import typing from m import x [out] main:2: error: Cannot find implementation or library stub for module named "m" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testMissingModule3] import typing from m import * [out] main:2: error: Cannot find implementation or library stub for module named "m" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testMissingModuleRelativeImport] import typing import m [file m/__init__.py] from .x import y [out] tmp/m/__init__.py:1: error: Cannot find implementation or library stub for module named "m.x" tmp/m/__init__.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testMissingModuleRelativeImport2] import typing import m.a [file m/__init__.py] [file m/a.py] from .x import y [out] tmp/m/a.py:1: error: Cannot find implementation or library stub for module named "m.x" tmp/m/a.py:1: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports [case testModuleNotImported] import typing import _m _n.x [file _m.py] import _n [file _n.py] x = 1 [out] main:3: error: Name "_n" is not defined [case testImportAsteriskPlusUnderscore] import typing from _m import * _x __x__ [file _m.py] _x = __x__ = 1 [out] main:3: error: Name "_x" is not defined main:4: error: Name "__x__" is not defined [case testRelativeImportAtTopLevelModule] from . import m [out] main:1: error: No parent module -- cannot perform relative import [case testRelativeImportAtTopLevelModule2] from .. import m [out] main:1: error: No parent module -- cannot perform relative import [case testUndefinedTypeWithQualifiedName] import typing import m def f() -> m.c: pass def g() -> n.c: pass [file m.py] [out] main:3: error: Name "m.c" is not defined main:4: error: Name "n" is not defined [case testMissingPackage] import typing import m.n [out] main:2: error: Cannot find implementation or library stub for module named "m.n" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:2: error: Cannot find implementation or library stub for module named "m" [case testMissingPackage2] import typing from m.n import x from a.b import * [out] main:2: error: Cannot find implementation or library stub for module named "m.n" main:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:3: error: Cannot find implementation or library stub for module named "a.b" [case testErrorInImportedModule] import m [file m.py] import typing x = y [out] tmp/m.py:2: error: Name "y" is not defined [case testErrorInImportedModule2] import m.n [file m/__init__.py] [file m/n.py] import k [file k.py] import typing x = y [out] tmp/k.py:2: error: Name "y" is not defined [case testPackageWithoutInitFile] # flags: --no-namespace-packages import typing import m.n m.n.x [file m/n.py] x = 1 [out] main:3: error: Cannot find implementation or library stub for module named "m.n" main:3: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports main:3: error: Cannot find implementation or library stub for module named "m" [case testBreakOutsideLoop] break def f(): break [out] main:1: error: "break" outside loop main:3: error: "break" outside loop [case testContinueOutsideLoop] continue def f(): continue [out] main:1: error: "continue" outside loop main:3: error: "continue" outside loop [case testReturnOutsideFunction] def f(): pass return return 1 [out] main:2: error: "return" outside function main:3: error: "return" outside function [case testYieldOutsideFunction] yield 1 yield [out] main:1: error: "yield" outside function main:2: error: "yield" outside function [case testInvalidLvalues1] 1 = 1 [out] main:1: error: Cannot assign to literal [out version>=3.10] main:1: error: Cannot assign to literal here. Maybe you meant '==' instead of '='? [case testInvalidLvalues2] (1) = 1 [out] main:1: error: Cannot assign to literal [out version>=3.10] main:1: error: Cannot assign to literal here. Maybe you meant '==' instead of '='? [case testInvalidLvalues3] (1, 1) = 1 [out] main:1: error: Cannot assign to literal [case testInvalidLvalues4] [1, 1] = 1 [out] main:1: error: Cannot assign to literal [case testInvalidLvalues6] x = y = z = 1 # ok x, (y, 1) = 1 [out] main:2: error: Cannot assign to literal [case testInvalidLvalues7] x, [y, 1] = 1 [out] main:1: error: Cannot assign to literal [case testInvalidLvalues8] x, [y, [z, 1]] = 1 [out] main:1: error: Cannot assign to literal [case testInvalidLvalues9] x, (y) = 1 # ok x, (y, (z, z)) = 1 # ok x, (y, (z, 1)) = 1 [out] main:3: error: Cannot assign to literal [case testInvalidLvalues10] x + x = 1 [out] main:1: error: Cannot assign to operator [out version>=3.10] main:1: error: Cannot assign to expression here. Maybe you meant '==' instead of '='? [case testInvalidLvalues11] -x = 1 [out] main:1: error: Cannot assign to operator [out version>=3.10] main:1: error: Cannot assign to expression here. Maybe you meant '==' instead of '='? [case testInvalidLvalues12] 1.1 = 1 [out] main:1: error: Cannot assign to literal [out version>=3.10] main:1: error: Cannot assign to literal here. Maybe you meant '==' instead of '='? [case testInvalidLvalues13] 'x' = 1 [out] main:1: error: Cannot assign to literal [out version>=3.10] main:1: error: Cannot assign to literal here. Maybe you meant '==' instead of '='? [case testInvalidLvalues14] x() = 1 [out] main:1: error: Cannot assign to function call [out version>=3.10] main:1: error: Cannot assign to function call here. Maybe you meant '==' instead of '='? [case testTwoStarExpressions] a, *b, *c = 1 *a, (*b, c) = 1 a, (*b, *c) = 1 [*a, *b] = 1 [out] main:1: error: Two starred expressions in assignment main:3: error: Two starred expressions in assignment main:4: error: Two starred expressions in assignment [case testTwoStarExpressionsInForStmt] z = 1 for a, *b, *c in z: pass for *a, (*b, c) in z: pass for a, (*b, *c) in z: pass for [*a, *b] in z: pass [out] main:2: error: Two starred expressions in assignment main:6: error: Two starred expressions in assignment main:8: error: Two starred expressions in assignment [case testTwoStarExpressionsInGeneratorExpr] (a for a, *b, *c in []) (a for *a, (*b, c) in []) (a for a, (*b, *c) in []) [out] main:1: error: Name "a" is not defined main:1: error: Two starred expressions in assignment main:3: error: Two starred expressions in assignment [case testStarExpressionRhs] b = 1 c = 1 d = 1 a = *b [out] main:4: error: can't use starred expression here [case testStarExpressionInExp] a = 1 *a + 1 [out] main:2: error: can't use starred expression here [case testInvalidDel1] x = 1 del x(1) [out] main:2: error: Cannot delete function call [case testInvalidDel2] x = 1 del x + 1 [out] main:2: error: Cannot delete operator [out version>=3.10] main:2: error: Cannot delete expression [case testInvalidDel3] del z # E: Name "z" is not defined [case testFunctionTvarScope] from typing import TypeVar t = TypeVar('t') def f(x: t) -> t: pass x = 0 # type: t [out] main:5: error: Type variable "__main__.t" is unbound main:5: note: (Hint: Use "Generic[t]" or "Protocol[t]" base class to bind "t" inside a class) main:5: note: (Hint: Use "t" in function signature to bind "t" inside a function) [case testClassTvarScope] from typing import Generic, TypeVar t = TypeVar('t') class c(Generic[t]): pass x = 0 # type: t [out] main:5: error: Type variable "__main__.t" is unbound main:5: note: (Hint: Use "Generic[t]" or "Protocol[t]" base class to bind "t" inside a class) main:5: note: (Hint: Use "t" in function signature to bind "t" inside a function) [case testExpressionRefersToTypeVariable] from typing import TypeVar, Generic t = TypeVar('t') class c(Generic[t]): def f(self) -> None: x = t def f(y: t): x = t [out] main:4: error: "t" is a type variable and only valid in type context main:5: error: "t" is a type variable and only valid in type context [case testInvalidBaseClass] import typing class A(B): pass [out] main:2: error: Name "B" is not defined [case testSuperOutsideClass] class A: pass super().x def f() -> None: super().y [out] main:2: error: "super" used outside class main:3: error: "super" used outside class [case testMultipleMethodDefinition] import typing class A: def f(self) -> None: pass def g(self) -> None: pass def f(self, x: object) -> None: pass [out] main:5: error: Name "f" already defined on line 3 [case testInvalidGlobalDecl] import typing def f() -> None: global x x = None [out] main:4: error: Name "x" is not defined [case testInvalidNonlocalDecl] import typing def f(): def g() -> None: nonlocal x x = None [out] main:4: error: No binding for nonlocal "x" found main:5: error: Name "x" is not defined [case testNonlocalDeclNotMatchingGlobal] import typing x = None def f() -> None: nonlocal x x = None [out] main:4: error: No binding for nonlocal "x" found main:5: error: Name "x" is not defined [case testNonlocalDeclConflictingWithParameter] import typing def g(): x = None def f(x) -> None: nonlocal x x = None [out] main:5: error: Name "x" is already defined in local scope before nonlocal declaration [case testNonlocalDeclOutsideFunction] x = 2 nonlocal x [out] main:2: error: nonlocal declaration not allowed at module level [case testGlobalAndNonlocalDecl] import typing x = 1 def f(): x = 1 def g() -> None: global x nonlocal x x = None [out] main:7: error: Name "x" is nonlocal and global [case testNonlocalAndGlobalDecl] import typing x = 1 def f(): x = 1 def g() -> None: nonlocal x global x x = None [out] main:7: error: Name "x" is nonlocal and global [case testNestedFunctionAndScoping] import typing def f(x) -> None: def g(y): z = x z y x [out] main:5: error: Name "z" is not defined main:6: error: Name "y" is not defined [case testMultipleNestedFunctionDef] import typing def f(x) -> None: def g(): pass x = 1 def g(): pass [out] main:5: error: Name "g" already defined on line 3 [case testRedefinedOverloadedFunction] from typing import overload, Any def f() -> None: @overload def p(o: object) -> None: pass # no error @overload def p(o: Any) -> None: pass # no error x = 1 def p(): pass # fail [out] main:3: error: An overloaded function outside a stub file must have an implementation main:8: error: Name "p" already defined on line 3 [case testNestedFunctionInMethod] import typing class A: def f(self) -> None: def g() -> None: x y [out] main:5: error: Name "x" is not defined main:6: error: Name "y" is not defined [case testImportScope] import typing def f() -> None: import x x.y # E: Name "x" is not defined [file x.py] y = 1 [out] [case testImportScope2] import typing def f() -> None: from x import y y y # E: Name "y" is not defined [file x.py] y = 1 [out] [case testImportScope3] import typing def f() -> None: from x import * y y # E: Name "y" is not defined [file x.py] y = 1 [out] [case testImportScope4] import typing class A: from x import * y y # E: Name "y" is not defined [file x.py] y = 1 [out] [case testScopeOfNestedClass] import typing def f(): class A: pass A A # E: Name "A" is not defined [out] [case testScopeOfNestedClass2] import typing class A: class B: pass B # E: Name "B" is not defined [out] [case testScopeOfNestedClass3] import typing class A: def f(self): class B: pass B # E: Name "B" is not defined B # E: Name "B" is not defined [out] [case testInvalidNestedClassReferenceInDecl] import typing class A: pass foo = 0 # type: A.x # E: Name "A.x" is not defined [out] [case testTvarScopingWithNestedClass] from typing import TypeVar, Generic t = TypeVar('t') s = TypeVar('s') class A(Generic[t]): class B(Generic[s]): x = 0 # type: A[s] y = 0 # type: A[t] # E: Type variable "__main__.t" is unbound \ # N: (Hint: Use "Generic[t]" or "Protocol[t]" base class to bind "t" inside a class) \ # N: (Hint: Use "t" in function signature to bind "t" inside a function) z = 0 # type: A[s] # E: Type variable "__main__.s" is unbound \ # N: (Hint: Use "Generic[s]" or "Protocol[s]" base class to bind "s" inside a class) \ # N: (Hint: Use "s" in function signature to bind "s" inside a function) a = 0 # type: A[t] [out] [case testTestExtendPrimitives] # Extending bool is not checked here as it should be typed # as final meaning the type checker will detect it. class C(bool): pass # ok class A(int): pass # ok class B(float): pass # ok class D(str): pass # ok [builtins fixtures/primitives.pyi] [out] [case testCyclicInheritance1] class A(A): pass # E: Cannot resolve name "A" (possible cyclic definition) [out] [case testCyclicInheritance2] class A(B): pass # E: Cannot resolve name "B" (possible cyclic definition) class B(A): pass [out] [case testAssignToTypeDef] import typing class A: pass A = None # E: Cannot assign to a type [out] [case testInvalidCastTargetSyntax] from typing import cast, TypeVar, Generic t = TypeVar('t') class C(Generic[t]): pass cast(str + str, None) # E: Cast target is not a type cast(C[str][str], None) # E: Cast target is not a type cast(C[str + str], None) # E: Cast target is not a type cast([int], None) # E: Bracketed expression "[...]" is not valid as a type \ # N: Did you mean "List[...]"? [out] [case testInvalidCastTargetType] from typing import cast x = 0 cast(x, None) # E: Variable "__main__.x" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases cast(t, None) # E: Name "t" is not defined cast(__builtins__.x, None) # E: Name "__builtins__.x" is not defined [out] [case testInvalidCastTargetType2] from typing import cast x = 0 cast(str[str], None) # E: "str" expects no type arguments, but 1 given [out] [case testInvalidNumberOfArgsToCast] from typing import cast cast(str) # E: "cast" expects 2 arguments cast(str, None, None) # E: "cast" expects 2 arguments [out] [case testInvalidKindsOfArgsToCast] from typing import cast cast(str, *None) # E: "cast" must be called with 2 positional arguments cast(str, target=None) # E: "cast" must be called with 2 positional arguments [out] [case testInvalidAssertType] from typing import assert_type assert_type(1, type=int) # E: "assert_type" must be called with 2 positional arguments assert_type(1, *int) # E: "assert_type" must be called with 2 positional arguments assert_type() # E: "assert_type" expects 2 arguments assert_type(1, int, "hello") # E: "assert_type" expects 2 arguments assert_type(int, 1) # E: Invalid type: try using Literal[1] instead? assert_type(1, int[int]) # E: "int" expects no type arguments, but 1 given [case testInvalidAnyCall] from typing import Any Any(str, None) # E: Any(...) is no longer supported. Use cast(Any, ...) instead Any(arg=str) # E: Any(...) is no longer supported. Use cast(Any, ...) instead [out] [case testTypeListAsType] def f(x: [int]) -> None: # E: Bracketed expression "[...]" is not valid as a type \ # N: Did you mean "List[...]"? pass [out] [case testInvalidFunctionType] from typing import Callable x = None # type: Callable[int, str] y = None # type: Callable[int] z = None # type: Callable[int, int, int] [out] main:2: error: The first argument to Callable must be a list of types, parameter specification, or "..." main:2: note: See https://mypy.readthedocs.io/en/stable/kinds_of_types.html#callable-types-and-lambdas main:3: error: Please use "Callable[[], ]" or "Callable" main:4: error: Please use "Callable[[], ]" or "Callable" [case testAbstractGlobalFunction] import typing from abc import abstractmethod @abstractmethod def foo(): pass [out] main:3: error: "abstractmethod" used with a non-method [case testAbstractNestedFunction] import typing from abc import abstractmethod def g() -> None: @abstractmethod def foo(): pass [out] main:4: error: "abstractmethod" used with a non-method [case testInvalidTypeDeclaration] import typing def f(): pass f() = 1 # type: int [out] main:3: error: Cannot assign to function call [out version>=3.10] main:3: error: Cannot assign to function call here. Maybe you meant '==' instead of '='? [case testIndexedAssignmentWithTypeDeclaration] import typing None[1] = 1 # type: int [out] main:2: error: Unexpected type declaration [case testNonSelfMemberAssignmentWithTypeDeclaration] import typing None.x = 1 # type: int [out] main:2: error: Type cannot be declared in assignment to non-self attribute [case testNonSelfMemberAssignmentWithTypeDeclarationInMethod] import typing class A: def f(self, x) -> None: x.y = 1 # type: int [out] main:4: error: Type cannot be declared in assignment to non-self attribute [case testInvalidTypeInTypeApplication] from typing import TypeVar, Generic t = TypeVar('t') class A(Generic[t]): pass A[TypeVar] # E: Variable "typing.TypeVar" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [out] [case testInvalidTypeInTypeApplication2] from typing import TypeVar, Generic t = TypeVar('t') class A(Generic[t]): pass A[1] # E: Invalid type: try using Literal[1] instead? [out] [case testVariableDeclWithInvalidNumberOfTypes] x, y = 1, 2 # type: int, str, int # E: Incompatible number of tuple items [builtins fixtures/tuple.pyi] [out] [case testVariableDeclWithInvalidNumberOfTypesNested] x, (y, z) = 1, (2, 3) # type: int, (str, int, int) # E: Incompatible number of tuple items [builtins fixtures/tuple.pyi] [out] [case testVariableDeclWithInvalidNumberOfTypesNested2] x, (y, z) = 1, (2, 3) # type: int, (str, ) # E: Incompatible number of tuple items [builtins fixtures/tuple.pyi] [out] [case testVariableDeclWithInvalidNumberOfTypesNested3] x, (y, z) = 1, (2, 3) # type: int, str # E: Tuple type expected for multiple variables [builtins fixtures/tuple.pyi] [out] [case testVariableDeclWithInvalidNumberOfTypesNested4] x, (y, z) = 1, (2, 3) # type: int, str, int # E: Incompatible number of tuple items [builtins fixtures/tuple.pyi] [out] [case testVariableDeclWithInvalidNumberOfTypesNested5] x, (y, ) = 1, (2, ) # type: int, str # E: Tuple type expected for multiple variables [builtins fixtures/tuple.pyi] [out] [case testVariableDeclWithInvalidType] x, y = 1, 2 # type: int # E: Tuple type expected for multiple variables [out] [case testInvalidLvalueWithExplicitType] a = 1 a() = None # type: int [out] main:2: error: Cannot assign to function call [out version>=3.10] main:2: error: Cannot assign to function call here. Maybe you meant '==' instead of '='? [case testInvalidLvalueWithExplicitType2] a = 1 a[1] = None # type: int # E: Unexpected type declaration a.x = None # type: int \ # E: Type cannot be declared in assignment to non-self attribute [out] [case testInvalidLvalueWithExplicitType3] a = 1 a.y, a.x = None, None # type: int, int \ # E: Type cannot be declared in assignment to non-self attribute a[1], a[2] = None, None # type: int, int \ # E: Unexpected type declaration [builtins fixtures/tuple.pyi] [out] [case testMissingGenericImport] from typing import TypeVar T = TypeVar('T') class A(Generic[T]): pass [out] main:3: error: Name "Generic" is not defined [case testInvalidTypeWithinGeneric] from typing import Generic class A(Generic[int]): pass # E: Free type variable expected in Generic[...] [out] [case testInvalidTypeWithinNestedGenericClass] from typing import Generic, TypeVar T = TypeVar('T') class A(Generic[T]): class B(Generic[T]): pass \ # E: Free type variable expected in Generic[...] [out] [case testRedeclaredTypeVarWithinNestedGenericClass] from typing import Generic, Iterable, TypeVar T = TypeVar('T') class A(Generic[T]): class B(Iterable[T]): pass # E: Type variable "T" is bound by an outer class [case testIncludingGenericTwiceInBaseClassList] from typing import Generic, TypeVar T = TypeVar('T') S = TypeVar('S') class A(Generic[T], Generic[S]): pass \ # E: Only single Generic[...] or Protocol[...] can be in bases [out] [case testInvalidMetaclass] class A(metaclass=x): pass # E: Name "x" is not defined [out] [case testInvalidQualifiedMetaclass] import abc class A(metaclass=abc.Foo): pass # E: Name "abc.Foo" is not defined [out] [case testNonClassMetaclass] def f(): pass class A(metaclass=f): pass # E: Invalid metaclass "f" [out] [case testInvalidTypevarArguments] from typing import TypeVar a = TypeVar() # E: Too few arguments for TypeVar() b = TypeVar(x='b') # E: TypeVar() expects a string literal as first argument c = TypeVar(1) # E: TypeVar() expects a string literal as first argument T = TypeVar(b'T') # E: TypeVar() expects a string literal as first argument d = TypeVar('D') # E: String argument 1 "D" to TypeVar(...) does not match variable name "d" e = TypeVar('e', int, str, x=1) # E: Unexpected argument to "TypeVar()": "x" f = TypeVar('f', (int, str), int) # E: Type expected g = TypeVar('g', int) # E: Type variable must have at least two constrained types h = TypeVar('h', x=(int, str)) # E: Unexpected argument to "TypeVar()": "x" i = TypeVar('i', bound=1) # E: TypeVar "bound" must be a type j = TypeVar('j', covariant=None) # E: TypeVar "covariant" may only be a literal bool k = TypeVar('k', contravariant=1) # E: TypeVar "contravariant" may only be a literal bool [out] [case testMoreInvalidTypevarArguments] from typing import TypeVar T = TypeVar('T', int, str, bound=bool) # E: TypeVar cannot have both values and an upper bound S = TypeVar('S', covariant=True, contravariant=True) \ # E: TypeVar cannot be both covariant and contravariant [builtins fixtures/bool.pyi] [case testInvalidTypevarArgumentsGenericConstraint] from typing import Generic, List, TypeVar from typing_extensions import Self T = TypeVar("T") def f(x: T) -> None: Bad = TypeVar("Bad", int, List[T]) # E: TypeVar constraint type cannot be parametrized by type variables class C(Generic[T]): Bad = TypeVar("Bad", int, List[T]) # E: TypeVar constraint type cannot be parametrized by type variables class D: Bad = TypeVar("Bad", int, List[Self]) # E: TypeVar constraint type cannot be parametrized by type variables S = TypeVar("S", int, List[T]) # E: Type variable "__main__.T" is unbound \ # N: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) \ # N: (Hint: Use "T" in function signature to bind "T" inside a function) [case testInvalidTypevarValues] from typing import TypeVar b = TypeVar('b', *[int]) # E: Unexpected argument to "TypeVar()" c = TypeVar('c', int, 2) # E: Invalid type: try using Literal[2] instead? [out] [case testObsoleteTypevarValuesSyntax] from typing import TypeVar a = TypeVar('a', values=(int, str)) [out] main:2: error: TypeVar "values" argument not supported main:2: error: Use TypeVar('T', t, ...) instead of TypeVar('T', values=(t, ...)) [case testLocalTypevarScope] from typing import TypeVar def f() -> None: T = TypeVar('T') def g(x: T) -> None: pass # E: Name "T" is not defined [out] [case testClassTypevarScope] from typing import TypeVar class A: T = TypeVar('T') def g(x: T) -> None: pass # E: Name "T" is not defined [out] [case testRedefineVariableAsTypevar] from typing import TypeVar x = 0 x = TypeVar('x') # E: Cannot redefine "x" as a type variable [out] [case testTypevarWithType] from typing import TypeVar x = TypeVar('x') # type: int # E: Cannot declare the type of a TypeVar or similar construct [out] [case testRedefineTypevar] from typing import TypeVar t = TypeVar('t') t = 1 # E: Invalid assignment target [out] [case testRedefineTypevar2] from typing import TypeVar t = TypeVar('t') def t(): pass # E: Name "t" already defined on line 2 [out] [case testRedefineTypevar3] from typing import TypeVar t = TypeVar('t') class t: pass # E: Name "t" already defined on line 2 [out] [case testRedefineTypevar4] from typing import TypeVar t = TypeVar('t') from typing import Generic as t # E: Name "t" already defined on line 2 [out] [case testInvalidStrLiteralType] def f(x: 'foo'): pass # E: Name "foo" is not defined [out] [case testInvalidStrLiteralStrayBrace] def f(x: 'int['): pass # E: Invalid type comment or annotation [out] [case testInvalidStrLiteralSpaces] def f(x: 'A B'): pass # E: Invalid type comment or annotation [out] [case testInvalidMultilineLiteralType] def f() -> "A\nB": pass # E: Invalid type comment or annotation [out] [case testInconsistentOverload] from typing import overload def dec(x): pass @dec # E: The implementation for an overloaded function must come last def f(): pass @overload def f(): pass [out] [case testInconsistentOverload2] from typing import overload def dec(x): pass @dec # E: The implementation for an overloaded function must come last def f(): pass @overload def f(): pass [out] [case testMissingOverloadDecorator] from typing import overload def dec(x): pass @dec def f(): pass @dec # E: Name "f" already defined on line 3 def f(): pass [out] [case testIncompatibleSignatureInComment] import typing def f(): # type: (int) -> int pass def g(x): # type: () -> int pass [out] main:2: error: Type signature has too many arguments main:4: error: Type signature has too few arguments [case testStaticmethodAndNonMethod] import typing @staticmethod def f(): pass class A: def g(self) -> None: @staticmethod def h(): pass [builtins fixtures/staticmethod.pyi] [out] main:2: error: "staticmethod" used with a non-method main:6: error: "staticmethod" used with a non-method [case testClassmethodAndNonMethod] import typing @classmethod def f(): pass class A: def g(self) -> None: @classmethod def h(): pass [builtins fixtures/classmethod.pyi] [out] main:2: error: "classmethod" used with a non-method main:6: error: "classmethod" used with a non-method [case testNonMethodProperty] import typing @property # E: "property" used with a non-method def f() -> int: pass [builtins fixtures/property.pyi] [out] [case testOverloadedProperty] from typing import overload class A: @overload # E: Decorators on top of @property are not supported @property def f(self) -> int: pass @property # E: Only supported top decorators are "@f.setter" and "@f.deleter" @overload def f(self) -> int: pass [builtins fixtures/property.pyi] [out] [case testOverloadedProperty2] from typing import overload class A: @overload # E: An overloaded function outside a stub file must have an implementation def f(self) -> int: pass @property # E: An overload can not be a property @overload def f(self) -> int: pass [builtins fixtures/property.pyi] [out] [case testDecoratedProperty] import typing def dec(f): pass class A: @dec # E: Decorators on top of @property are not supported @property def f(self) -> int: pass @property # OK @dec def g(self) -> int: pass @dec # type: ignore[misc] @property def h(self) -> int: pass @dec # type: ignore[prop-decorator] @property def i(self) -> int: pass [builtins fixtures/property.pyi] [out] [case testImportTwoModulesWithSameNameInFunction] import typing def f() -> None: import x import y as x # E: Name "x" already defined (by an import) x.y [file x.py] y = 1 [file y.py] [out] [case testImportTwoModulesWithSameNameInGlobalContext] import typing import x import y as x # E: Name "x" already defined (by an import) x.y [file x.py] y = 1 [file y.py] [out] [case testListTypeAliasWithoutImport] import typing def f() -> List[int]: pass [builtins fixtures/list.pyi] [out] main:2: error: Name "List" is not defined main:2: note: Did you forget to import it from "typing"? (Suggestion: "from typing import List") [case testInvalidWithTarget] def f(): pass with f() as 1: pass [out] main:2: error: Cannot assign to literal [case testInvalidTypeAnnotation] import typing def f() -> None: 1[2] = 1 # type: int [out] main:3: error: Unexpected type declaration [case testInvalidTypeAnnotation2] import typing def f() -> None: f() = 1 # type: int [out] main:3: error: Cannot assign to function call [out version>=3.10] main:3: error: Cannot assign to function call here. Maybe you meant '==' instead of '='? [case testInvalidReferenceToAttributeOfOuterClass] class A: class X: pass class B: y = X # E: Name "X" is not defined [out] [case testStubPackage] from m import x from m import y # E: Module "m" has no attribute "y" [file m/__init__.pyi] x = 1 [out] [case testStubPackageSubModule] from m import x from m import y # E: Module "m" has no attribute "y" from m.m2 import y from m.m2 import z # E: Module "m.m2" has no attribute "z" [file m/__init__.pyi] x = 1 [file m/m2.pyi] y = 1 [out] [case testListComprehensionSpecialScoping] class A: x = 1 y = 1 z = 1 [x for i in z if y] [out] main:5: error: Name "x" is not defined main:5: error: Name "y" is not defined [case testTypeRedeclarationNoSpuriousWarnings] from typing import Tuple a = 1 # type: int a = 's' # type: str a = ('spam', 'spam', 'eggs', 'spam') # type: Tuple[str] [builtins fixtures/tuple.pyi] [out] main:3: error: Name "a" already defined on line 2 main:4: error: Name "a" already defined on line 2 [case testDuplicateDefFromImport] from m import A class A: # E: Name "A" already defined (possibly by an import) pass [file m.py] class A: pass [out] [case testDuplicateDefDec] from typing import Any def dec(x: Any) -> Any: return x @dec def f() -> None: pass @dec # E: Name "f" already defined on line 4 def f() -> None: pass [out] [case testDuplicateDefOverload] from typing import overload, Any if 1: @overload def f(x: int) -> None: pass @overload def f(x: str) -> None: pass def f(x: Any) -> None: pass else: def f(x: str) -> None: # E: Name "f" already defined on line 3 pass [out] [case testDuplicateDefNT] from typing import NamedTuple N = NamedTuple('N', [('a', int), ('b', str)]) class N: # E: Name "N" already defined on line 2 pass [builtins fixtures/tuple.pyi] [out] [case testDuplicateDefTypedDict] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) class Point: # E: Name "Point" already defined on line 2 pass [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] [case testTypeVarClassDup] from typing import TypeVar T = TypeVar('T') class T: ... # E: Name "T" already defined on line 2 [out] [case testAliasDup] from typing import List A = List[int] class A: ... # E: Name "A" already defined on line 2 [builtins fixtures/list.pyi] [out] [case testNoInvalidTypeInDynamicFunctions] from typing import Dict, TypeVar T = TypeVar('T') def f(): # Note no annotation x: Dict[str, T] = {} y: T z: x def nested(): pass t: nested def g() -> None: x: Dict[str, T] = {} # E: Type variable "__main__.T" is unbound \ # N: (Hint: Use "Generic[T]" or "Protocol[T]" base class to bind "T" inside a class) \ # N: (Hint: Use "T" in function signature to bind "T" inside a function) [builtins fixtures/dict.pyi] [out] [case testParamSpec] from typing_extensions import ParamSpec TParams = ParamSpec('TParams') TP = ParamSpec('?') # E: String argument 1 "?" to ParamSpec(...) does not match variable name "TP" TP2: int = ParamSpec('TP2') # E: Cannot declare the type of a TypeVar or similar construct [out] [case testBaseClassAnnotatedWithoutArgs] # https://github.com/python/mypy/issues/11808 from typing_extensions import Annotated # Next line should not crash: class A(Annotated): pass # E: Annotated[...] must have exactly one type argument and at least one annotation [case testInvalidUnpackTypes] from typing_extensions import Unpack from typing import Tuple heterogenous_tuple: Tuple[Unpack[Tuple[int, str]]] homogeneous_tuple: Tuple[Unpack[Tuple[int, ...]]] bad: Tuple[Unpack[int]] # E: "int" cannot be unpacked (must be tuple or TypeVarTuple) [builtins fixtures/tuple.pyi] [case testTypeVarTupleErrors] from typing import Generic from typing_extensions import TypeVarTuple, Unpack TVariadic = TypeVarTuple('TVariadic') TVariadic2 = TypeVarTuple('TVariadic2') TP = TypeVarTuple('?') # E: String argument 1 "?" to TypeVarTuple(...) does not match variable name "TP" TP2: int = TypeVarTuple('TP2') # E: Cannot declare the type of a TypeVar or similar construct TP3 = TypeVarTuple() # E: Too few arguments for TypeVarTuple() TP4 = TypeVarTuple('TP4', 'TP4') # E: Too many positional arguments for "TypeVarTuple" TP5 = TypeVarTuple(t='TP5') # E: TypeVarTuple() expects a string literal as first argument TP6 = TypeVarTuple('TP6', bound=int) # E: Unexpected keyword argument "bound" for "TypeVarTuple" x: TVariadic # E: TypeVarTuple "TVariadic" is unbound y: Unpack[TVariadic] # E: Unpack is only valid in a variadic position class Variadic(Generic[Unpack[TVariadic], Unpack[TVariadic2]]): # E: Can only use one type var tuple in a class def pass def bad_args(*args: TVariadic): # E: TypeVarTuple "TVariadic" is only valid with an unpack pass def bad_kwargs(**kwargs: Unpack[TVariadic]): # E: Unpack item in ** argument must be a TypedDict pass [builtins fixtures/dict.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-expressions.test0000644000175100017510000001704515112307767022034 0ustar00runnerrunner[case testLiterals] (1, 'x', 1.1, 1.1j) [out] MypyFile:1( ExpressionStmt:1( TupleExpr:1( IntExpr(1) StrExpr(x) FloatExpr(1.1) ComplexExpr(1.1j)))) [case testMemberExpr] x = 1 x.y [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) ExpressionStmt:2( MemberExpr:2( NameExpr(x [__main__.x]) y))) [case testIndexExpr] x = y = 1 x[y] [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) ExpressionStmt:2( IndexExpr:2( NameExpr(x [__main__.x]) NameExpr(y [__main__.y])))) [case testBinaryOperations] x = y = 1 x + y x | y x is not y x == y [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) ExpressionStmt:2( OpExpr:2( + NameExpr(x [__main__.x]) NameExpr(y [__main__.y]))) ExpressionStmt:3( OpExpr:3( | NameExpr(x [__main__.x]) NameExpr(y [__main__.y]))) ExpressionStmt:4( ComparisonExpr:4( is not NameExpr(x [__main__.x]) NameExpr(y [__main__.y]))) ExpressionStmt:5( ComparisonExpr:5( == NameExpr(x [__main__.x]) NameExpr(y [__main__.y])))) [case testUnaryOperations] x = 1 -x ~x +x not x [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) ExpressionStmt:2( UnaryExpr:2( - NameExpr(x [__main__.x]))) ExpressionStmt:3( UnaryExpr:3( ~ NameExpr(x [__main__.x]))) ExpressionStmt:4( UnaryExpr:4( + NameExpr(x [__main__.x]))) ExpressionStmt:5( UnaryExpr:5( not NameExpr(x [__main__.x])))) [case testSlices] x = y = z = 1 x[y:z:x] x[:] x[:y] [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y]) NameExpr(z* [__main__.z])) IntExpr(1)) ExpressionStmt:2( IndexExpr:2( NameExpr(x [__main__.x]) SliceExpr:2( NameExpr(y [__main__.y]) NameExpr(z [__main__.z]) NameExpr(x [__main__.x])))) ExpressionStmt:3( IndexExpr:3( NameExpr(x [__main__.x]) SliceExpr:3( ))) ExpressionStmt:4( IndexExpr:4( NameExpr(x [__main__.x]) SliceExpr:4( NameExpr(y [__main__.y]))))) [case testTupleLiteral] x = y = 1 x, y [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) ExpressionStmt:2( TupleExpr:2( NameExpr(x [__main__.x]) NameExpr(y [__main__.y])))) [case testListLiteral] x = y = 1 ([], [x, y]) [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) ExpressionStmt:2( TupleExpr:2( ListExpr:2() ListExpr:2( NameExpr(x [__main__.x]) NameExpr(y [__main__.y]))))) [case testDictLiterals] x = y = 1 { x : y, y : x } [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) ExpressionStmt:2( DictExpr:2( NameExpr(x [__main__.x]) NameExpr(y [__main__.y]) NameExpr(y [__main__.y]) NameExpr(x [__main__.x])))) [case testListComprehension] a = 0 ([x + 1 for x in a]) [out] MypyFile:1( AssignmentStmt:1( NameExpr(a [__main__.a]) IntExpr(0) builtins.int) ExpressionStmt:2( ListComprehension:2( GeneratorExpr:2( OpExpr:2( + NameExpr(x [l]) IntExpr(1)) NameExpr(x* [l]) NameExpr(a [__main__.a]))))) [case testListComprehensionInFunction] def f(a) -> None: [x for x in a] [out] MypyFile:1( FuncDef:1( f Args( Var(a)) def (a: Any) Block:2( ExpressionStmt:2( ListComprehension:2( GeneratorExpr:2( NameExpr(x [l]) NameExpr(x* [l]) NameExpr(a [l]))))))) [case testListComprehensionWithCondition] a = 0 b = [x for x in a if x] [out] MypyFile:1( AssignmentStmt:1( NameExpr(a [__main__.a]) IntExpr(0) builtins.int) AssignmentStmt:2( NameExpr(b* [__main__.b]) ListComprehension:2( GeneratorExpr:2( NameExpr(x [l]) NameExpr(x* [l]) NameExpr(a [__main__.a]) NameExpr(x [l]))))) [case testSetComprehension] a = 0 ({x + 1 for x in a}) [out] MypyFile:1( AssignmentStmt:1( NameExpr(a [__main__.a]) IntExpr(0) builtins.int) ExpressionStmt:2( SetComprehension:2( GeneratorExpr:2( OpExpr:2( + NameExpr(x [l]) IntExpr(1)) NameExpr(x* [l]) NameExpr(a [__main__.a]))))) [case testSetComprehensionWithCondition] a = 0 b = {x for x in a if x} [out] MypyFile:1( AssignmentStmt:1( NameExpr(a [__main__.a]) IntExpr(0) builtins.int) AssignmentStmt:2( NameExpr(b* [__main__.b]) SetComprehension:2( GeneratorExpr:2( NameExpr(x [l]) NameExpr(x* [l]) NameExpr(a [__main__.a]) NameExpr(x [l]))))) [case testDictionaryComprehension] a = 0 ({x: x + 1 for x in a}) [out] MypyFile:1( AssignmentStmt:1( NameExpr(a [__main__.a]) IntExpr(0) builtins.int) ExpressionStmt:2( DictionaryComprehension:2( NameExpr(x [l]) OpExpr:2( + NameExpr(x [l]) IntExpr(1)) NameExpr(x* [l]) NameExpr(a [__main__.a])))) [case testDictionaryComprehensionWithCondition] a = 0 b = {x: x + 1 for x in a if x} [out] MypyFile:1( AssignmentStmt:1( NameExpr(a [__main__.a]) IntExpr(0) builtins.int) AssignmentStmt:2( NameExpr(b* [__main__.b]) DictionaryComprehension:2( NameExpr(x [l]) OpExpr:2( + NameExpr(x [l]) IntExpr(1)) NameExpr(x* [l]) NameExpr(a [__main__.a]) NameExpr(x [l])))) [case testGeneratorExpression] a = 0 (x for x in a) [out] MypyFile:1( AssignmentStmt:1( NameExpr(a [__main__.a]) IntExpr(0) builtins.int) ExpressionStmt:2( GeneratorExpr:2( NameExpr(x [l]) NameExpr(x* [l]) NameExpr(a [__main__.a])))) [case testGeneratorExpressionNestedIndex] a = 0 (x for x, (y, z) in a) [out] MypyFile:1( AssignmentStmt:1( NameExpr(a [__main__.a]) IntExpr(0) builtins.int) ExpressionStmt:2( GeneratorExpr:2( NameExpr(x [l]) TupleExpr:2( NameExpr(x* [l]) TupleExpr:2( NameExpr(y* [l]) NameExpr(z* [l]))) NameExpr(a [__main__.a])))) [case testLambda] x = 0 lambda: x [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(0) builtins.int) ExpressionStmt:2( LambdaExpr:2( Block:2( ReturnStmt:2( NameExpr(x [__main__.x])))))) [case testLambdaWithArguments] lambda x, y: x + y [out] MypyFile:1( ExpressionStmt:1( LambdaExpr:1( Args( Var(x) Var(y)) Block:1( ReturnStmt:1( OpExpr:1( + NameExpr(x [l]) NameExpr(y [l]))))))) [case testConditionalExpression] int if None else str [out] MypyFile:1( ExpressionStmt:1( ConditionalExpr:1( Condition( NameExpr(None [builtins.None])) NameExpr(int [builtins.int]) NameExpr(str [builtins.str])))) [case testDictWithKeywordArgs] dict(a=1, b=str()) [builtins fixtures/dict.pyi] [out] MypyFile:1( ExpressionStmt:1( DictExpr:1( StrExpr(a) IntExpr(1) StrExpr(b) CallExpr:1( NameExpr(str [builtins.str]) Args())))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-lambda.test0000644000175100017510000000602415112307767020665 0ustar00runnerrunner[case testLambdaInheritsCheckedContextFromFunc] def g(): return lambda x: UNDEFINED in x [out] MypyFile:1( FuncDef:1( g Block:2( ReturnStmt:2( LambdaExpr:2( Args( Var(x)) Block:2( ReturnStmt:2( ComparisonExpr:2( in NameExpr(UNDEFINED) NameExpr(x [l]))))))))) [case testLambdaInheritsCheckedContextFromFuncForced] # flags: --check-untyped-defs def g(): return lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromTypedFunc] def g() -> None: return lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromTypedFuncForced] # flags: --check-untyped-defs def g() -> None: return lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromModule] g = lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromModuleForce] # flags: --check-untyped-defs g = lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromModuleLambdaStack] g = lambda: lambda: lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromModuleLambdaStackForce] # flags: --check-untyped-defs g = lambda: lambda: lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromFuncLambdaStack] def g(): return lambda: lambda: lambda x: UNDEFINED in x [out] MypyFile:1( FuncDef:1( g Block:2( ReturnStmt:2( LambdaExpr:2( Block:2( ReturnStmt:2( LambdaExpr:2( Block:2( ReturnStmt:2( LambdaExpr:2( Args( Var(x)) Block:2( ReturnStmt:2( ComparisonExpr:2( in NameExpr(UNDEFINED) NameExpr(x [l]))))))))))))))) [case testLambdaInheritsCheckedContextFromFuncLambdaStackForce] # flags: --check-untyped-defs def g(): return lambda: lambda: lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromTypedFuncLambdaStack] def g() -> None: return lambda: lambda: lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromTypedFuncLambdaStackForce] # flags: --check-untyped-defs def g() -> None: return lambda: lambda: lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromClassLambdaStack] class A: g = lambda: lambda: lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined [case testLambdaInheritsCheckedContextFromClassLambdaStackForce] # flags: --check-untyped-defs class A: g = lambda: lambda: lambda x: UNDEFINED in x # E: Name "UNDEFINED" is not defined ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-literal.test0000644000175100017510000000113415112307767021076 0ustar00runnerrunner[case testLiteralSemanalBasicAssignment] from typing import Literal foo: Literal[3] [out] MypyFile:1( ImportFrom:1(typing, [Literal]) AssignmentStmt:2( NameExpr(foo [__main__.foo]) TempNode:2( Any) Literal[3])) [case testLiteralSemanalInFunction] from typing import Literal def foo(a: Literal[1], b: Literal[" foo "]) -> Literal[True]: pass [builtins fixtures/bool.pyi] [out] MypyFile:1( ImportFrom:1(typing, [Literal]) FuncDef:2( foo Args( Var(a) Var(b)) def (a: Literal[1], b: Literal[' foo ']) -> Literal[True] Block:2( PassStmt:2()))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-modules.test0000644000175100017510000003633315112307767021123 0ustar00runnerrunner-- NOTE: If a module has a name starting or ending with _, it is skipped in -- output. [case testImport] import x x.y [file x.py] y = 1 [out] MypyFile:1( Import:1(x) ExpressionStmt:2( MemberExpr:2( NameExpr(x) y [x.y]))) MypyFile:1( tmp/x.py AssignmentStmt:1( NameExpr(y [x.y]) IntExpr(1) builtins.int)) [case testImportedNameInType] import m x = None # type: m.c [file m.py] class c: pass [out] MypyFile:1( Import:1(m) AssignmentStmt:2( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) m.c)) MypyFile:1( tmp/m.py ClassDef:1( c PassStmt:1())) [case testImportFrom] from m import y x = y [file m.py] y = 1 [out] MypyFile:1( ImportFrom:1(m, [y]) AssignmentStmt:2( NameExpr(x* [__main__.x]) NameExpr(y [m.y]))) MypyFile:1( tmp/m.py AssignmentStmt:1( NameExpr(y [m.y]) IntExpr(1) builtins.int)) [case testImportFromType] from m import c x = None # type: c [file m.py] class c: pass [out] MypyFile:1( ImportFrom:1(m, [c]) AssignmentStmt:2( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) m.c)) MypyFile:1( tmp/m.py ClassDef:1( c PassStmt:1())) [case testImportMultiple] import _m, _n _m.x, _n.y [fixture _m.py] x = 1 [fixture _n.py] y = 2 [out] MypyFile:1( Import:1(_m, _n) ExpressionStmt:2( TupleExpr:2( MemberExpr:2( NameExpr(_m) x [_m.x]) MemberExpr:2( NameExpr(_n) y [_n.y])))) [case testImportAs] import _m as n n.x [fixture _m.py] x = 1 [out] MypyFile:1( Import:1(_m : n) ExpressionStmt:2( MemberExpr:2( NameExpr(n [_m]) x [_m.x]))) [case testImportFromMultiple] from _m import x, y x, y [fixture _m.py] x = y = 1 [out] MypyFile:1( ImportFrom:1(_m, [x, y]) ExpressionStmt:2( TupleExpr:2( NameExpr(x [_m.x]) NameExpr(y [_m.y])))) [case testImportFromAs] from _m import y as z z [fixture _m.py] y = 1 [out] MypyFile:1( ImportFrom:1(_m, [y : z]) ExpressionStmt:2( NameExpr(z [_m.y]))) [case testAccessImportedName] from m import x y = x [file m.py] from _n import x [fixture _n.py] x = 1 [out] MypyFile:1( ImportFrom:1(m, [x]) AssignmentStmt:2( NameExpr(y* [__main__.y]) NameExpr(x [_n.x]))) MypyFile:1( tmp/m.py ImportFrom:1(_n, [x])) [case testAccessImportedName2] import _m y = _m.x [fixture _m.py] from _n import x [fixture _n.py] x = 1 [out] MypyFile:1( Import:1(_m) AssignmentStmt:2( NameExpr(y* [__main__.y]) MemberExpr:2( NameExpr(_m) x [_n.x]))) [case testAccessingImportedNameInType] from _m import c x = None # type: c [fixture _m.py] from _n import c [fixture _n.py] class c: pass [out] MypyFile:1( ImportFrom:1(_m, [c]) AssignmentStmt:2( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) _n.c)) [case testAccessingImportedNameInType2] import _m x = None # type: _m.c [fixture _m.py] from _n import c [fixture _n.py] class c: pass [out] MypyFile:1( Import:1(_m) AssignmentStmt:2( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) _n.c)) [case testAccessingImportedModule] from _m import _n _n.x [fixture _m.py] import _n [fixture _n.py] x = 1 [out] MypyFile:1( ImportFrom:1(_m, [_n]) ExpressionStmt:2( MemberExpr:2( NameExpr(_n) x [_n.x]))) [case testAccessingImportedModule2] import _m _m._n.x [fixture _m.py] import _n [fixture _n.py] x = 1 [out] MypyFile:1( Import:1(_m) ExpressionStmt:2( MemberExpr:2( MemberExpr:2( NameExpr(_m) _n) x [_n.x]))) [case testAccessTypeViaDoubleIndirection] from _m import c a = None # type: c [fixture _m.py] from _n import c [fixture _n.py] class c: pass [out] MypyFile:1( ImportFrom:1(_m, [c]) AssignmentStmt:2( NameExpr(a [__main__.a]) NameExpr(None [builtins.None]) _n.c)) [case testAccessTypeViaDoubleIndirection2] import _m a = None # type: _m.c [fixture _m.py] from _n import c [fixture _n.py] class c: pass [out] MypyFile:1( Import:1(_m) AssignmentStmt:2( NameExpr(a [__main__.a]) NameExpr(None [builtins.None]) _n.c)) [case testImportAsterisk] from _m import * x, y [fixture _m.py] x = y = 1 [out] MypyFile:1( ImportAll:1(_m) ExpressionStmt:2( TupleExpr:2( NameExpr(x [_m.x]) NameExpr(y [_m.y])))) [case testImportAsteriskAndImportedNames] from _m import * n_.x, y [fixture _m.py] import n_ from n_ import y [fixture n_.py] x = y = 1 [out] MypyFile:1( ImportAll:1(_m) ExpressionStmt:2( TupleExpr:2( MemberExpr:2( NameExpr(n_) x [n_.x]) NameExpr(y [n_.y])))) [case testImportAsteriskAndImportedNamesInTypes] from _m import * x = None # type: n_.c y = None # type: d [fixture _m.py] import n_ from n_ import d [fixture n_.py] class c: pass class d: pass [out] MypyFile:1( ImportAll:1(_m) AssignmentStmt:2( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) n_.c) AssignmentStmt:3( NameExpr(y [__main__.y]) NameExpr(None [builtins.None]) n_.d)) [case testModuleInSubdir] import _m _m.x [fixture _m/__init__.py] x = 1 [out] MypyFile:1( Import:1(_m) ExpressionStmt:2( MemberExpr:2( NameExpr(_m) x [_m.x]))) [case testNestedModules] import m.n m.n.x, m.y [fixture m/__init__.py] y = 1 [file m/n.py] x = 1 [out] MypyFile:1( Import:1(m.n) ExpressionStmt:2( TupleExpr:2( MemberExpr:2( MemberExpr:2( NameExpr(m) n [m.n]) x [m.n.x]) MemberExpr:2( NameExpr(m) y [m.y])))) MypyFile:1( tmp/m/n.py AssignmentStmt:1( NameExpr(x [m.n.x]) IntExpr(1) builtins.int)) [case testImportFromSubmodule] from m._n import x x [fixture m/__init__.py] [fixture m/_n.py] x = 1 [out] MypyFile:1( ImportFrom:1(m._n, [x]) ExpressionStmt:2( NameExpr(x [m._n.x]))) [case testImportAllFromSubmodule] from m._n import * x, y [fixture m/__init__.py] [fixture m/_n.py] x = y = 1 [out] MypyFile:1( ImportAll:1(m._n) ExpressionStmt:2( TupleExpr:2( NameExpr(x [m._n.x]) NameExpr(y [m._n.y])))) [case testSubmodulesAndTypes] import m._n x = None # type: m._n.c [fixture m/__init__.py] [fixture m/_n.py] class c: pass [out] MypyFile:1( Import:1(m._n) AssignmentStmt:2( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) m._n.c)) [case testSubmodulesAndTypes2] from m._n import c x = None # type: c [fixture m/__init__.py] [fixture m/_n.py] class c: pass [out] MypyFile:1( ImportFrom:1(m._n, [c]) AssignmentStmt:2( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) m._n.c)) [case testFromPackageImportModule] from m import _n _n.x [fixture m/__init__.py] [fixture m/_n.py] x = 1 [out] MypyFile:1( ImportFrom:1(m, [_n]) ExpressionStmt:2( MemberExpr:2( NameExpr(_n [m._n]) x [m._n.x]))) [case testDeeplyNestedModule] import m.n.k m.n.k.x m.n.b m.a [fixture m/__init__.py] a = 1 [fixture m/n/__init__.py] b = 1 [file m/n/k.py] x = 1 [out] MypyFile:1( Import:1(m.n.k) ExpressionStmt:2( MemberExpr:2( MemberExpr:2( MemberExpr:2( NameExpr(m) n [m.n]) k [m.n.k]) x [m.n.k.x])) ExpressionStmt:3( MemberExpr:3( MemberExpr:3( NameExpr(m) n [m.n]) b [m.n.b])) ExpressionStmt:4( MemberExpr:4( NameExpr(m) a [m.a]))) MypyFile:1( tmp/m/n/k.py AssignmentStmt:1( NameExpr(x [m.n.k.x]) IntExpr(1) builtins.int)) [case testImportInSubmodule] import m._n y = m._n.x [fixture m/__init__.py] [fixture m/_n.py] from m._k import x [fixture m/_k.py] x = 1 [out] MypyFile:1( Import:1(m._n) AssignmentStmt:2( NameExpr(y* [__main__.y]) MemberExpr:2( MemberExpr:2( NameExpr(m) _n [m._n]) x [m._k.x]))) [case testBuiltinsUsingModule] o = None # type: __builtins__.object [out] MypyFile:1( AssignmentStmt:1( NameExpr(o [__main__.o]) NameExpr(None [builtins.None]) builtins.object)) [case testImplicitAccessToBuiltins] object [out] MypyFile:1( ExpressionStmt:1( NameExpr(object [builtins.object]))) [case testAssignmentToModuleAttribute] import _m _m.x = ( _m.x) [fixture _m.py] x = None [out] MypyFile:1( Import:1(_m) AssignmentStmt:2( MemberExpr:2( NameExpr(_m) x [_m.x]) MemberExpr:3( NameExpr(_m) x [_m.x]))) [case testAssignmentThatRefersToModule] import _m _m.x[None] = None [fixture _m.py] x = None [out] MypyFile:1( Import:1(_m) AssignmentStmt:2( IndexExpr:2( MemberExpr:2( NameExpr(_m) x [_m.x]) NameExpr(None [builtins.None])) NameExpr(None [builtins.None]))) [case testImportInBlock] if 1: import _x _x.y [fixture _x.py] y = 1 [out] MypyFile:1( IfStmt:1( If( IntExpr(1)) Then( Import:2(_x) ExpressionStmt:3( MemberExpr:3( NameExpr(_x) y [_x.y]))))) [case testImportInFunction] def f() -> None: import _x _x.y [fixture _x.py] y = 1 [out] MypyFile:1( FuncDef:1( f def () Block:2( Import:2(_x) ExpressionStmt:3( MemberExpr:3( NameExpr(_x) y [_x.y]))))) [case testImportInClassBody] class A: from _x import y z = y [fixture _x.py] y = 1 [out] MypyFile:1( ClassDef:1( A ImportFrom:2(_x, [y]) AssignmentStmt:3( NameExpr(z* [m]) NameExpr(y [__main__.A.y])))) [case testImportInClassBody2] class A: import _x z = _x.y [fixture _x.py] y = 1 [out] MypyFile:1( ClassDef:1( A Import:2(_x) AssignmentStmt:3( NameExpr(z* [m]) MemberExpr:3( NameExpr(_x) y [_x.y])))) [case testImportModuleTwice] def f() -> None: import x import x x.y [file x.py] y = 1 [out] MypyFile:1( FuncDef:1( f def () Block:2( Import:2(x) Import:3(x) ExpressionStmt:4( MemberExpr:4( NameExpr(x) y [x.y]))))) MypyFile:1( tmp/x.py AssignmentStmt:1( NameExpr(y [x.y]) IntExpr(1) builtins.int)) [case testRelativeImport0] import m.x m.x.z.y [fixture m/__init__.py] [file m/x.py] from . import z [file m/z.py] y = 1 [out] MypyFile:1( Import:1(m.x) ExpressionStmt:2( MemberExpr:2( MemberExpr:2( MemberExpr:2( NameExpr(m) x [m.x]) z [m.z]) y [m.z.y]))) MypyFile:1( tmp/m/x.py ImportFrom:1(., [z])) MypyFile:1( tmp/m/z.py AssignmentStmt:1( NameExpr(y [m.z.y]) IntExpr(1) builtins.int)) [case testRelativeImport1] import m.t.b as b b.x.y b.z.y [fixture m/__init__.py] [file m/x.py] y = 1 [file m/z.py] y = 3 [fixture m/t/__init__.py] [file m/t/b.py] from .. import x, z [out] MypyFile:1( Import:1(m.t.b : b) ExpressionStmt:2( MemberExpr:2( MemberExpr:2( NameExpr(b [m.t.b]) x [m.x]) y [m.x.y])) ExpressionStmt:3( MemberExpr:3( MemberExpr:3( NameExpr(b [m.t.b]) z [m.z]) y [m.z.y]))) MypyFile:1( tmp/m/t/b.py ImportFrom:1(.., [x, z])) MypyFile:1( tmp/m/x.py AssignmentStmt:1( NameExpr(y [m.x.y]) IntExpr(1) builtins.int)) MypyFile:1( tmp/m/z.py AssignmentStmt:1( NameExpr(y [m.z.y]) IntExpr(3) builtins.int)) [case testRelativeImport2] import m.t.b as b b.xy b.zy [fixture m/__init__.py] [file m/x.py] y = 1 [file m/z.py] y = 3 [fixture m/t/__init__.py] [file m/t/b.py] from ..x import y as xy from ..z import y as zy [out] MypyFile:1( Import:1(m.t.b : b) ExpressionStmt:2( MemberExpr:2( NameExpr(b [m.t.b]) xy [m.x.y])) ExpressionStmt:3( MemberExpr:3( NameExpr(b [m.t.b]) zy [m.z.y]))) MypyFile:1( tmp/m/t/b.py ImportFrom:1(..x, [y : xy]) ImportFrom:2(..z, [y : zy])) MypyFile:1( tmp/m/x.py AssignmentStmt:1( NameExpr(y [m.x.y]) IntExpr(1) builtins.int)) MypyFile:1( tmp/m/z.py AssignmentStmt:1( NameExpr(y [m.z.y]) IntExpr(3) builtins.int)) [case testRelativeImport3] import m.t m.zy m.xy m.t.y [fixture m/__init__.py] from .x import * from .z import * [file m/x.py] from .z import zy as xy [file m/z.py] zy = 3 [fixture m/t/__init__.py] from .b import * [file m/t/b.py] from .. import xy as y [out] MypyFile:1( Import:1(m.t) ExpressionStmt:2( MemberExpr:2( NameExpr(m) zy [m.z.zy])) ExpressionStmt:3( MemberExpr:3( NameExpr(m) xy [m.z.zy])) ExpressionStmt:4( MemberExpr:4( MemberExpr:4( NameExpr(m) t [m.t]) y [m.z.zy]))) MypyFile:1( tmp/m/t/b.py ImportFrom:1(.., [xy : y])) MypyFile:1( tmp/m/x.py ImportFrom:1(.z, [zy : xy])) MypyFile:1( tmp/m/z.py AssignmentStmt:1( NameExpr(zy [m.z.zy]) IntExpr(3) builtins.int)) [case testRelativeImportFromSameModule] import m.x [fixture m/__init__.py] [file m/x.py] from .x import nonexistent [out] tmp/m/x.py:1: error: Module "m.x" has no attribute "nonexistent" [case testImportFromSameModule] import m.x [fixture m/__init__.py] [file m/x.py] from m.x import nonexistent [out] tmp/m/x.py:1: error: Module "m.x" has no attribute "nonexistent" [case testImportMisspellingSingleCandidate] import f [fixture m/__init__.py] [file m/x.py] def some_function(): pass [file f.py] from m.x import somefunction [out] tmp/f.py:1: error: Module "m.x" has no attribute "somefunction"; maybe "some_function"? [case testImportMisspellingMultipleCandidates] import f [fixture m/__init__.py] [file m/x.py] def some_function(): pass def somef_unction(): pass [file f.py] from m.x import somefunction [out] tmp/f.py:1: error: Module "m.x" has no attribute "somefunction"; maybe "some_function" or "somef_unction"? [case testImportMisspellingMultipleCandidatesTruncated] import f [fixture m/__init__.py] [file m/x.py] def some_function(): pass def somef_unction(): pass def somefu_nction(): pass def somefun_ction(): pass [file f.py] from m.x import somefunction [out] tmp/f.py:1: error: Module "m.x" has no attribute "somefunction"; maybe "some_function", "somef_unction", or "somefu_nction"? [case testFromImportAsInStub] from m import * x y # E: Name "y" is not defined [file m.pyi] from m2 import x as x from m2 import y [file m2.py] x = 1 y = 2 [out] [case testFromImportAsInNonStub] from m_ import * x y [fixture m_.py] from m2_ import x as x from m2_ import y [fixture m2_.py] x = 1 y = 2 [out] MypyFile:1( ImportAll:1(m_) ExpressionStmt:2( NameExpr(x [m2_.x])) ExpressionStmt:3( NameExpr(y [m2_.y]))) [case testImportAsInStub] from m import * m2 m3 # E: Name "m3" is not defined [file m.pyi] import m2 as m2 import m3 [file m2.py] [file m3.py] [out] [case testImportAsInNonStub] from m_ import * m2_ m3_ [fixture m_.py] import m2_ as m2_ import m3_ [fixture m2_.py] [fixture m3_.py] [out] MypyFile:1( ImportAll:1(m_) ExpressionStmt:2( NameExpr(m2_)) ExpressionStmt:3( NameExpr(m3_))) [case testErrorsInMultipleModules] import m x [file m.py] y [out] tmp/m.py:1: error: Name "y" is not defined main:2: error: Name "x" is not defined [case testImportTwice] import typing from x import a, a # ok (we could give a warning, but this is valid) def f() -> None: from x import a from x import a # ok import x import x # ok, since we may import multiple submodules of a package [file x.py] a = 1 [out] MypyFile:1( Import:1(typing) ImportFrom:2(x, [a, a]) FuncDef:3( f def () Block:4( ImportFrom:4(x, [a]) ImportFrom:5(x, [a]))) Import:6(x) Import:7(x)) MypyFile:1( tmp/x.py AssignmentStmt:1( NameExpr(a [x.a]) IntExpr(1) builtins.int)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-namedtuple.test0000644000175100017510000001566315112307767021614 0ustar00runnerrunner-- Semantic analysis of named tuples [case testSimpleNamedtuple] from collections import namedtuple N = namedtuple('N', ['a']) def f() -> N: pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(collections, [namedtuple]) AssignmentStmt:2( NameExpr(N* [__main__.N]) NamedTupleExpr:2(N, tuple[Any])) FuncDef:3( f def () -> tuple[Any, fallback=__main__.N] Block:3( PassStmt:3()))) [case testTwoItemNamedtuple] from collections import namedtuple N = namedtuple('N', ['a', 'xyz']) def f() -> N: pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(collections, [namedtuple]) AssignmentStmt:2( NameExpr(N* [__main__.N]) NamedTupleExpr:2(N, tuple[Any, Any])) FuncDef:3( f def () -> tuple[Any, Any, fallback=__main__.N] Block:3( PassStmt:3()))) [case testTwoItemNamedtupleWithTupleFieldNames] from collections import namedtuple N = namedtuple('N', ('a', 'xyz')) def f() -> N: pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(collections, [namedtuple]) AssignmentStmt:2( NameExpr(N* [__main__.N]) NamedTupleExpr:2(N, tuple[Any, Any])) FuncDef:3( f def () -> tuple[Any, Any, fallback=__main__.N] Block:3( PassStmt:3()))) [case testTwoItemNamedtupleWithShorthandSyntax] from collections import namedtuple N = namedtuple('N', ' a xyz ') def f() -> N: pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(collections, [namedtuple]) AssignmentStmt:2( NameExpr(N* [__main__.N]) NamedTupleExpr:2(N, tuple[Any, Any])) FuncDef:3( f def () -> tuple[Any, Any, fallback=__main__.N] Block:3( PassStmt:3()))) [case testNamedTupleWithItemTypes] from typing import NamedTuple N = NamedTuple('N', [('a', int), ('b', str)]) [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [NamedTuple]) AssignmentStmt:2( NameExpr(N* [__main__.N]) NamedTupleExpr:2(N, tuple[builtins.int, builtins.str]))) [case testNamedTupleWithTupleFieldNamesWithItemTypes] from typing import NamedTuple N = NamedTuple('N', (('a', int), ('b', str))) [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [NamedTuple]) AssignmentStmt:2( NameExpr(N* [__main__.N]) NamedTupleExpr:2(N, tuple[builtins.int, builtins.str]))) [case testNamedTupleBaseClass] from collections import namedtuple N = namedtuple('N', ['x']) class A(N): pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(collections, [namedtuple]) AssignmentStmt:2( NameExpr(N* [__main__.N]) NamedTupleExpr:2(N, tuple[Any])) ClassDef:3( A TupleType( tuple[Any, fallback=__main__.N]) BaseType( __main__.N) PassStmt:3())) [case testNamedTupleBaseClass2] from collections import namedtuple class A(namedtuple('N', ['x'])): pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(collections, [namedtuple]) ClassDef:2( A TupleType( tuple[Any, fallback=__main__.N@2]) BaseType( __main__.N@2) PassStmt:2())) [case testNamedTupleBaseClassWithItemTypes] from typing import NamedTuple class A(NamedTuple('N', [('x', int)])): pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [NamedTuple]) ClassDef:2( A TupleType( tuple[builtins.int, fallback=__main__.N@2]) BaseType( __main__.N@2) PassStmt:2())) -- Errors [case testNamedTupleWithTooFewArguments] from collections import namedtuple N = namedtuple('N') # E: Too few arguments for "namedtuple()" [builtins fixtures/tuple.pyi] [case testNamedTupleWithInvalidName] from collections import namedtuple N = namedtuple(1, ['x']) # E: "namedtuple()" expects a string literal as the first argument [builtins fixtures/tuple.pyi] [case testNamedTupleWithInvalidItems] from collections import namedtuple N = namedtuple('N', 1) # E: List or tuple literal expected as the second argument to "namedtuple()" [builtins fixtures/tuple.pyi] [case testNamedTupleWithInvalidItems2] from collections import namedtuple N = namedtuple('N', ['x', 1]) # E: String literal expected as "namedtuple()" item [builtins fixtures/tuple.pyi] [case testNamedTupleWithUnderscoreItemName] from collections import namedtuple N = namedtuple('N', ['_fallback']) # E: "namedtuple()" field name "_fallback" starts with an underscore [builtins fixtures/tuple.pyi] -- NOTE: The following code works at runtime but is not yet supported by mypy. -- Keyword arguments may potentially be supported in the future. [case testNamedTupleWithNonpositionalArgs] from collections import namedtuple N = namedtuple(typename='N', field_names=['x']) # E: Unexpected arguments to "namedtuple()" [builtins fixtures/tuple.pyi] [case testTypingNamedTupleWithTooFewArguments] from typing import NamedTuple N = NamedTuple('N') # E: Too few arguments for "NamedTuple()" [builtins fixtures/tuple.pyi] [case testTypingNamedTupleWithManyArguments] from typing import NamedTuple N = NamedTuple('N', [], []) # E: Too many arguments for "NamedTuple()" [builtins fixtures/tuple.pyi] [case testTypingNamedTupleWithInvalidName] from typing import NamedTuple N = NamedTuple(1, ['x']) # E: "NamedTuple()" expects a string literal as the first argument [builtins fixtures/tuple.pyi] [case testTypingNamedTupleWithInvalidItems] from typing import NamedTuple N = NamedTuple('N', 1) # E: List or tuple literal expected as the second argument to "NamedTuple()" [builtins fixtures/tuple.pyi] [case testTypingNamedTupleWithUnderscoreItemName] from typing import NamedTuple N = NamedTuple('N', [('_fallback', int)]) # E: "NamedTuple()" field name "_fallback" starts with an underscore [builtins fixtures/tuple.pyi] [case testTypingNamedTupleWithUnexpectedNames] from typing import NamedTuple N = NamedTuple(name='N', fields=[]) # E: Unexpected arguments to "NamedTuple()" [builtins fixtures/tuple.pyi] -- NOTE: The following code works at runtime but is not yet supported by mypy. -- Keyword arguments may potentially be supported in the future. [case testNamedTupleWithNonpositionalArgs2] from collections import namedtuple N = namedtuple(typename='N', field_names=['x']) # E: Unexpected arguments to "namedtuple()" [builtins fixtures/tuple.pyi] [case testInvalidNamedTupleBaseClass] from typing import NamedTuple class A(NamedTuple('N', [1])): pass # E: Tuple expected as "NamedTuple()" field class B(A): pass [builtins fixtures/tuple.pyi] [case testInvalidNamedTupleBaseClass2] class A(NamedTuple('N', [1])): pass class B(A): pass [out] main:2: error: Unsupported dynamic base class "NamedTuple" main:2: error: Name "NamedTuple" is not defined [case testNamedTupleWithDecorator] from typing import final, NamedTuple @final class A(NamedTuple("N", [("x", int)])): pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [final, NamedTuple]) ClassDef:4( A TupleType( tuple[builtins.int, fallback=__main__.N@4]) Decorators( NameExpr(final [typing.final])) BaseType( __main__.N@4) PassStmt:5())) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-python310.test0000644000175100017510000000726715112307767021224 0ustar00runnerrunner-- Python 3.10 semantic analysis test cases. [case testCapturePattern] x = 1 match x: case a: a [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) MatchStmt:2( NameExpr(x [__main__.x]) Pattern( AsPattern:3( NameExpr(a* [__main__.a]))) Body( ExpressionStmt:4( NameExpr(a [__main__.a]))))) [case testCapturePatternOutliving] x = 1 match x: case a: pass a [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) MatchStmt:2( NameExpr(x [__main__.x]) Pattern( AsPattern:3( NameExpr(a* [__main__.a]))) Body( PassStmt:4())) ExpressionStmt:5( NameExpr(a [__main__.a]))) [case testNestedCapturePatterns] x = 1 match x: case ([a], {'k': b}): a b [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) MatchStmt:2( NameExpr(x [__main__.x]) Pattern( SequencePattern:3( SequencePattern:3( AsPattern:3( NameExpr(a* [__main__.a]))) MappingPattern:3( Key( StrExpr(k)) Value( AsPattern:3( NameExpr(b* [__main__.b])))))) Body( ExpressionStmt:4( NameExpr(a [__main__.a])) ExpressionStmt:5( NameExpr(b [__main__.b]))))) [case testMappingPatternRest] x = 1 match x: case {**r}: r [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) MatchStmt:2( NameExpr(x [__main__.x]) Pattern( MappingPattern:3( Rest( NameExpr(r* [__main__.r])))) Body( ExpressionStmt:4( NameExpr(r [__main__.r]))))) [case testAsPattern] x = 1 match x: case 1 as a: a [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) MatchStmt:2( NameExpr(x [__main__.x]) Pattern( AsPattern:3( ValuePattern:3( IntExpr(1)) NameExpr(a* [__main__.a]))) Body( ExpressionStmt:4( NameExpr(a [__main__.a]))))) [case testGuard] x = 1 a = 1 match x: case 1 if a: pass [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) AssignmentStmt:2( NameExpr(a [__main__.a]) IntExpr(1) builtins.int) MatchStmt:3( NameExpr(x [__main__.x]) Pattern( ValuePattern:4( IntExpr(1))) Guard( NameExpr(a [__main__.a])) Body( PassStmt:5()))) [case testCapturePatternInGuard] x = 1 match x: case a if a: pass [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) MatchStmt:2( NameExpr(x [__main__.x]) Pattern( AsPattern:3( NameExpr(a* [__main__.a]))) Guard( NameExpr(a [__main__.a])) Body( PassStmt:4()))) [case testAsPatternInGuard] x = 1 match x: case 1 as a if a: pass [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) MatchStmt:2( NameExpr(x [__main__.x]) Pattern( AsPattern:3( ValuePattern:3( IntExpr(1)) NameExpr(a* [__main__.a]))) Guard( NameExpr(a [__main__.a])) Body( PassStmt:4()))) [case testValuePattern] import _a x = 1 match x: case _a.b: pass [fixture _a.py] b = 1 [out] MypyFile:1( Import:1(_a) AssignmentStmt:3( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) MatchStmt:4( NameExpr(x [__main__.x]) Pattern( ValuePattern:5( MemberExpr:5( NameExpr(_a) b [_a.b]))) Body( PassStmt:6()))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-statements.test0000644000175100017510000005666515112307767021654 0ustar00runnerrunner[case testReturn] def f(x): return x def g(): return [out] MypyFile:1( FuncDef:1( f Args( Var(x)) Block:1( ReturnStmt:1( NameExpr(x [l])))) FuncDef:2( g Block:2( ReturnStmt:2()))) [case testRaise] raise object() [out] MypyFile:1( RaiseStmt:1( CallExpr:1( NameExpr(object [builtins.object]) Args()))) [case testYield] def f(): yield f [out] MypyFile:1( FuncDef:1( f Generator Block:1( ExpressionStmt:1( YieldExpr:1( NameExpr(f [__main__.f])))))) [case testAssert] assert object [out] MypyFile:1( AssertStmt:1( NameExpr(object [builtins.object]))) [case testOperatorAssignment] x = y = 1 x += y y |= x [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) OperatorAssignmentStmt:2( + NameExpr(x [__main__.x]) NameExpr(y [__main__.y])) OperatorAssignmentStmt:3( | NameExpr(y [__main__.y]) NameExpr(x [__main__.x]))) [case testWhile] x = y = 1 while x: y [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) WhileStmt:2( NameExpr(x [__main__.x]) Block:3( ExpressionStmt:3( NameExpr(y [__main__.y]))))) [case testFor] for x in object: x [out] MypyFile:1( ForStmt:1( NameExpr(x* [__main__.x]) NameExpr(object [builtins.object]) Block:2( ExpressionStmt:2( NameExpr(x [__main__.x]))))) [case testForInFunction] def f(): for x in f: x [out] MypyFile:1( FuncDef:1( f Block:2( ForStmt:2( NameExpr(x* [l]) NameExpr(f [__main__.f]) Block:3( ExpressionStmt:3( NameExpr(x [l]))))))) [case testMultipleForIndexVars] for x, y in []: x, y [out] MypyFile:1( ForStmt:1( TupleExpr:1( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) ListExpr:1() Block:2( ExpressionStmt:2( TupleExpr:2( NameExpr(x [__main__.x]) NameExpr(y [__main__.y])))))) [case testForIndexVarScope] for x in []: pass x [out] MypyFile:1( ForStmt:1( NameExpr(x* [__main__.x]) ListExpr:1() Block:2( PassStmt:2())) ExpressionStmt:3( NameExpr(x [__main__.x]))) [case testForIndexVarScope2] def f(): for x in []: pass x [out] MypyFile:1( FuncDef:1( f Block:2( ForStmt:2( NameExpr(x* [l]) ListExpr:2() Block:3( PassStmt:3())) ExpressionStmt:4( NameExpr(x [l]))))) [case testReusingForLoopIndexVariable] # flags: --allow-redefinition for x in None: pass for x in None: pass [out] MypyFile:1( ForStmt:2( NameExpr(x'* [__main__.x']) NameExpr(None [builtins.None]) Block:3( PassStmt:3())) ForStmt:4( NameExpr(x* [__main__.x]) NameExpr(None [builtins.None]) Block:5( PassStmt:5()))) [case testReusingForLoopIndexVariable2] # flags: --allow-redefinition def f(): for x in None: pass for x in None: pass [out] MypyFile:1( FuncDef:2( f Block:3( ForStmt:3( NameExpr(x* [l]) NameExpr(None [builtins.None]) Block:4( PassStmt:4())) ForStmt:5( NameExpr(x'* [l]) NameExpr(None [builtins.None]) Block:6( PassStmt:6()))))) [case testLoopWithElse] for x in []: pass else: x while 1: pass else: x [out] MypyFile:1( ForStmt:1( NameExpr(x* [__main__.x]) ListExpr:1() Block:2( PassStmt:2()) Else( ExpressionStmt:4( NameExpr(x [__main__.x])))) WhileStmt:5( IntExpr(1) Block:6( PassStmt:6()) Else( ExpressionStmt:8( NameExpr(x [__main__.x]))))) [case testBreak] while 1: break for x in []: break [out] MypyFile:1( WhileStmt:1( IntExpr(1) Block:2( BreakStmt:2())) ForStmt:3( NameExpr(x* [__main__.x]) ListExpr:3() Block:4( BreakStmt:4()))) [case testContinue] while 1: continue for x in []: continue [out] MypyFile:1( WhileStmt:1( IntExpr(1) Block:2( ContinueStmt:2())) ForStmt:3( NameExpr(x* [__main__.x]) ListExpr:3() Block:4( ContinueStmt:4()))) [case testIf] x = 1 if x: x elif x: x elif x: x else: x [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) IfStmt:2( If( NameExpr(x [__main__.x])) Then( ExpressionStmt:3( NameExpr(x [__main__.x]))) Else( IfStmt:4( If( NameExpr(x [__main__.x])) Then( ExpressionStmt:5( NameExpr(x [__main__.x]))) Else( IfStmt:6( If( NameExpr(x [__main__.x])) Then( ExpressionStmt:7( NameExpr(x [__main__.x]))) Else( ExpressionStmt:9( NameExpr(x [__main__.x]))))))))) [case testSimpleIf] if object: object [out] MypyFile:1( IfStmt:1( If( NameExpr(object [builtins.object])) Then( ExpressionStmt:2( NameExpr(object [builtins.object]))))) [case testLvalues] x = y = 1 xx = 1 x.m = 1 x[y] = 1 x2, y2 = 1 [x3, y3] = 1 (x4, y4) = 1 [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) AssignmentStmt:2( NameExpr(xx [__main__.xx]) IntExpr(1) builtins.int) AssignmentStmt:3( MemberExpr:3( NameExpr(x [__main__.x]) m) IntExpr(1)) AssignmentStmt:4( IndexExpr:4( NameExpr(x [__main__.x]) NameExpr(y [__main__.y])) IntExpr(1)) AssignmentStmt:5( TupleExpr:5( NameExpr(x2* [__main__.x2]) NameExpr(y2* [__main__.y2])) IntExpr(1)) AssignmentStmt:6( TupleExpr:6( NameExpr(x3* [__main__.x3]) NameExpr(y3* [__main__.y3])) IntExpr(1)) AssignmentStmt:7( TupleExpr:7( NameExpr(x4* [__main__.x4]) NameExpr(y4* [__main__.y4])) IntExpr(1))) [case testStarLvalues] # flags: --allow-redefinition *x, y = 1 *x, (y, *z) = 1 *(x, q), r = 1 [out] MypyFile:1( AssignmentStmt:2( TupleExpr:2( StarExpr:2( NameExpr(x'* [__main__.x'])) NameExpr(y'* [__main__.y'])) IntExpr(1)) AssignmentStmt:3( TupleExpr:3( StarExpr:3( NameExpr(x''* [__main__.x''])) TupleExpr:3( NameExpr(y* [__main__.y]) StarExpr:3( NameExpr(z* [__main__.z])))) IntExpr(1)) AssignmentStmt:4( TupleExpr:4( StarExpr:4( TupleExpr:4( NameExpr(x* [__main__.x]) NameExpr(q* [__main__.q]))) NameExpr(r* [__main__.r])) IntExpr(1))) [case testMultipleDefinition] # flags: --allow-redefinition x, y = 1 x, y = 2 [out] MypyFile:1( AssignmentStmt:2( TupleExpr:2( NameExpr(x'* [__main__.x']) NameExpr(y'* [__main__.y'])) IntExpr(1)) AssignmentStmt:3( TupleExpr:3( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(2))) [case testComplexDefinitions] (x) = 1 ([y]) = 2 [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) AssignmentStmt:2( TupleExpr:2( NameExpr(y* [__main__.y])) IntExpr(2))) [case testLocalComplexDefinition] def f(): (x) = 1 x [out] MypyFile:1( FuncDef:1( f Block:2( AssignmentStmt:2( NameExpr(x* [l]) IntExpr(1)) ExpressionStmt:3( NameExpr(x [l]))))) [case testMultipleDefOnlySomeNew] x = 1 y, x = 1 [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) AssignmentStmt:2( TupleExpr:2( NameExpr(y* [__main__.y]) NameExpr(x [__main__.x])) IntExpr(1))) [case testMultipleDefOnlySomeNewNestedTuples] x = 1 y, (x, z) = 1 [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) AssignmentStmt:2( TupleExpr:2( NameExpr(y* [__main__.y]) TupleExpr:2( NameExpr(x [__main__.x]) NameExpr(z* [__main__.z]))) IntExpr(1))) [case testMultipleDefOnlySomeNewNestedLists] x = 1 if x: y, [x, z] = 1 [p, [x, r]] = 1 [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) IfStmt:2( If( NameExpr(x [__main__.x])) Then( AssignmentStmt:3( TupleExpr:3( NameExpr(y* [__main__.y]) TupleExpr:3( NameExpr(x [__main__.x]) NameExpr(z* [__main__.z]))) IntExpr(1)) AssignmentStmt:4( TupleExpr:4( NameExpr(p* [__main__.p]) TupleExpr:4( NameExpr(x [__main__.x]) NameExpr(r* [__main__.r]))) IntExpr(1))))) [case testIndexedDel] x = y = 1 del x[y] [out] MypyFile:1( AssignmentStmt:1( Lvalues( NameExpr(x* [__main__.x]) NameExpr(y* [__main__.y])) IntExpr(1)) DelStmt:2( IndexExpr:2( NameExpr(x [__main__.x]) NameExpr(y [__main__.y])))) [case testDelGlobalName] x = 1 del x [out] MypyFile:1( AssignmentStmt:1( NameExpr(x [__main__.x]) IntExpr(1) builtins.int) DelStmt:2( NameExpr(x [__main__.x]))) [case testDelLocalName] def f(x): del x [out] MypyFile:1( FuncDef:1( f Args( Var(x)) Block:2( DelStmt:2( NameExpr(x [l]))))) [case testDelMultipleThings] def f(x, y): del x, y[0] [out] MypyFile:1( FuncDef:1( f Args( Var(x) Var(y)) Block:2( DelStmt:2( TupleExpr:2( NameExpr(x [l]) IndexExpr:2( NameExpr(y [l]) IntExpr(0))))))) [case testDelMultipleThingsInvalid] def f(x, y) -> None: del x, y + 1 [out] main:2: error: Cannot delete operator [out version>=3.10] main:2: error: Cannot delete expression [case testTry] class c: pass try: c except object: c except c as e: e except: c finally: c [out] MypyFile:1( ClassDef:1( c PassStmt:1()) TryStmt:2( Block:3( ExpressionStmt:3( NameExpr(c [__main__.c]))) NameExpr(object [builtins.object]) Block:5( ExpressionStmt:5( NameExpr(c [__main__.c]))) NameExpr(c [__main__.c]) NameExpr(e* [__main__.e]) Block:7( ExpressionStmt:7( NameExpr(e [__main__.e]))) Block:9( ExpressionStmt:9( NameExpr(c [__main__.c]))) Finally( ExpressionStmt:11( NameExpr(c [__main__.c]))))) [case testTryElse] try: pass except: pass else: object [out] MypyFile:1( TryStmt:1( Block:2( PassStmt:2()) Block:4( PassStmt:4()) Else( ExpressionStmt:6( NameExpr(object [builtins.object]))))) [case testTryWithOnlyFinally] try: pass finally: pass [out] MypyFile:1( TryStmt:1( Block:2( PassStmt:2()) Finally( PassStmt:4()))) [case testExceptWithMultipleTypes] class c: pass try: pass except (c, object) as e: e [out] MypyFile:1( ClassDef:1( c PassStmt:1()) TryStmt:2( Block:3( PassStmt:3()) TupleExpr:4( NameExpr(c [__main__.c]) NameExpr(object [builtins.object])) NameExpr(e* [__main__.e]) Block:5( ExpressionStmt:5( NameExpr(e [__main__.e]))))) [case testRaiseWithoutExpr] raise [out] MypyFile:1( RaiseStmt:1()) [case testWith] with object: object [out] MypyFile:1( WithStmt:1( Expr( NameExpr(object [builtins.object])) Block:2( ExpressionStmt:2( NameExpr(object [builtins.object]))))) [case testWithAndVariable] with object as x: x [out] MypyFile:1( WithStmt:1( Expr( NameExpr(object [builtins.object])) Target( NameExpr(x* [__main__.x])) Block:2( ExpressionStmt:2( NameExpr(x [__main__.x]))))) [case testWithInFunction] def f(): with f as x: x [out] MypyFile:1( FuncDef:1( f Block:2( WithStmt:2( Expr( NameExpr(f [__main__.f])) Target( NameExpr(x* [l])) Block:3( ExpressionStmt:3( NameExpr(x [l]))))))) [case testComplexWith] with object, object: pass with object as a, object as b: pass [out] MypyFile:1( WithStmt:1( Expr( NameExpr(object [builtins.object])) Expr( NameExpr(object [builtins.object])) Block:2( PassStmt:2())) WithStmt:3( Expr( NameExpr(object [builtins.object])) Target( NameExpr(a* [__main__.a])) Expr( NameExpr(object [builtins.object])) Target( NameExpr(b* [__main__.b])) Block:4( PassStmt:4()))) [case testVariableInBlock] while object: x = None if x: x = x [out] MypyFile:1( WhileStmt:1( NameExpr(object [builtins.object]) Block:2( AssignmentStmt:2( NameExpr(x* [__main__.x]) NameExpr(None [builtins.None])) IfStmt:3( If( NameExpr(x [__main__.x])) Then( AssignmentStmt:4( NameExpr(x [__main__.x]) NameExpr(x [__main__.x]))))))) [case testVariableInExceptHandler] try: pass except object as o: x = None o = x [out] MypyFile:1( TryStmt:1( Block:2( PassStmt:2()) NameExpr(object [builtins.object]) NameExpr(o* [__main__.o]) Block:4( AssignmentStmt:4( NameExpr(x* [__main__.x]) NameExpr(None [builtins.None])) AssignmentStmt:5( NameExpr(o [__main__.o]) NameExpr(x [__main__.x]))))) [case testCallInExceptHandler] try: pass except object as o: o = object() [out] MypyFile:1( TryStmt:1( Block:2( PassStmt:2()) NameExpr(object [builtins.object]) NameExpr(o* [__main__.o]) Block:4( AssignmentStmt:4( NameExpr(o [__main__.o]) CallExpr:4( NameExpr(object [builtins.object]) Args()))))) [case testTryExceptWithMultipleHandlers] class Err(BaseException): pass try: pass except BaseException as e: pass except Err as f: f = BaseException() # Fail f = Err() [builtins fixtures/exception.pyi] [out] MypyFile:1( ClassDef:1( Err BaseType( builtins.BaseException) PassStmt:1()) TryStmt:2( Block:3( PassStmt:3()) NameExpr(BaseException [builtins.BaseException]) NameExpr(e* [__main__.e]) Block:5( PassStmt:5()) NameExpr(Err [__main__.Err]) NameExpr(f* [__main__.f]) Block:7( AssignmentStmt:7( NameExpr(f [__main__.f]) CallExpr:7( NameExpr(BaseException [builtins.BaseException]) Args())) AssignmentStmt:8( NameExpr(f [__main__.f]) CallExpr:8( NameExpr(Err [__main__.Err]) Args()))))) [case testMultipleAssignmentWithPartialNewDef] # flags: --allow-redefinition o = None x, o = o, o [out] MypyFile:1( AssignmentStmt:2( NameExpr(o'* [__main__.o']) NameExpr(None [builtins.None])) AssignmentStmt:3( TupleExpr:3( NameExpr(x* [__main__.x]) NameExpr(o* [__main__.o])) TupleExpr:3( NameExpr(o' [__main__.o']) NameExpr(o' [__main__.o'])))) [case testFunctionDecorator] def decorate(f): pass @decorate def g(): g() [out] MypyFile:1( FuncDef:1( decorate Args( Var(f)) Block:1( PassStmt:1())) Decorator:2( Var(g) NameExpr(decorate [__main__.decorate]) FuncDef:3( g Block:4( ExpressionStmt:4( CallExpr:4( NameExpr(g [__main__.g]) Args())))))) [case testTryWithinFunction] def f() -> None: try: pass except object as o: pass [out] MypyFile:1( FuncDef:1( f def () Block:2( TryStmt:2( Block:3( PassStmt:3()) NameExpr(object [builtins.object]) NameExpr(o* [l]) Block:5( PassStmt:5()))))) [case testReuseExceptionVariable] def f() -> None: try: pass except object as o: pass except object as o: pass [out] MypyFile:1( FuncDef:1( f def () Block:2( TryStmt:2( Block:3( PassStmt:3()) NameExpr(object [builtins.object]) NameExpr(o* [l]) Block:5( PassStmt:5()) NameExpr(object [builtins.object]) NameExpr(o [l]) Block:7( PassStmt:7()))))) [case testWithMultiple] def f(a): pass def main(): with f(0) as a, f(a) as b: x = a, b [out] MypyFile:1( FuncDef:1( f Args( Var(a)) Block:2( PassStmt:2())) FuncDef:3( main Block:4( WithStmt:4( Expr( CallExpr:4( NameExpr(f [__main__.f]) Args( IntExpr(0)))) Target( NameExpr(a* [l])) Expr( CallExpr:4( NameExpr(f [__main__.f]) Args( NameExpr(a [l])))) Target( NameExpr(b* [l])) Block:5( AssignmentStmt:5( NameExpr(x* [l]) TupleExpr:5( NameExpr(a [l]) NameExpr(b [l])))))))) [case testRenameGlobalVariable] # flags: --allow-redefinition def f(a): pass x = 0 f(x) x = '' f(x) [out] MypyFile:1( FuncDef:2( f Args( Var(a)) Block:2( PassStmt:2())) AssignmentStmt:3( NameExpr(x' [__main__.x']) IntExpr(0) builtins.int) ExpressionStmt:4( CallExpr:4( NameExpr(f [__main__.f]) Args( NameExpr(x' [__main__.x'])))) AssignmentStmt:5( NameExpr(x [__main__.x]) StrExpr() builtins.str) ExpressionStmt:6( CallExpr:6( NameExpr(f [__main__.f]) Args( NameExpr(x [__main__.x]))))) [case testNoRenameGlobalVariable] # flags: --disallow-redefinition def f(a): pass x = 0 f(x) x = '' f(x) [out] MypyFile:1( FuncDef:2( f Args( Var(a)) Block:2( PassStmt:2())) AssignmentStmt:3( NameExpr(x [__main__.x]) IntExpr(0) builtins.int) ExpressionStmt:4( CallExpr:4( NameExpr(f [__main__.f]) Args( NameExpr(x [__main__.x])))) AssignmentStmt:5( NameExpr(x [__main__.x]) StrExpr()) ExpressionStmt:6( CallExpr:6( NameExpr(f [__main__.f]) Args( NameExpr(x [__main__.x]))))) [case testRenameLocalVariable] # flags: --allow-redefinition def f(a): f(a) a = '' f(a) [out] MypyFile:1( FuncDef:2( f Args( Var(a)) Block:3( ExpressionStmt:3( CallExpr:3( NameExpr(f [__main__.f]) Args( NameExpr(a [l])))) AssignmentStmt:4( NameExpr(a'* [l]) StrExpr()) ExpressionStmt:5( CallExpr:5( NameExpr(f [__main__.f]) Args( NameExpr(a' [l]))))))) [case testCannotRenameExternalVarWithinClass] # flags: --allow-redefinition x = 0 x class A: x = 1 x = '' [out] MypyFile:1( AssignmentStmt:2( NameExpr(x [__main__.x]) IntExpr(0) builtins.int) ExpressionStmt:3( NameExpr(x [__main__.x])) ClassDef:4( A AssignmentStmt:5( NameExpr(x [m]) IntExpr(1) builtins.int)) AssignmentStmt:6( NameExpr(x [__main__.x]) StrExpr())) [case testSimpleWithRenaming] with 0 as y: z = y with 1 as y: y = 1 [out] MypyFile:1( WithStmt:1( Expr( IntExpr(0)) Target( NameExpr(y'* [__main__.y'])) Block:2( AssignmentStmt:2( NameExpr(z* [__main__.z]) NameExpr(y' [__main__.y'])))) WithStmt:3( Expr( IntExpr(1)) Target( NameExpr(y* [__main__.y])) Block:4( AssignmentStmt:4( NameExpr(y [__main__.y]) IntExpr(1))))) [case testSimpleWithRenamingFailure] with 0 as y: z = y zz = y with 1 as y: y = 1 [out] MypyFile:1( WithStmt:1( Expr( IntExpr(0)) Target( NameExpr(y* [__main__.y])) Block:2( AssignmentStmt:2( NameExpr(z* [__main__.z]) NameExpr(y [__main__.y])))) AssignmentStmt:3( NameExpr(zz* [__main__.zz]) NameExpr(y [__main__.y])) WithStmt:4( Expr( IntExpr(1)) Target( NameExpr(y [__main__.y])) Block:5( AssignmentStmt:5( NameExpr(y [__main__.y]) IntExpr(1))))) [case testConstantFold1] from typing import Final add: Final = 15 + 47 add_mul: Final = (2 + 3) * 5 sub: Final = 7 - 11 bit_and: Final = 6 & 10 bit_or: Final = 6 | 10 bit_xor: Final = 6 ^ 10 lshift: Final = 5 << 2 rshift: Final = 13 >> 2 lshift0: Final = 5 << 0 rshift0: Final = 13 >> 0 [out] MypyFile:1( ImportFrom:1(typing, [Final]) AssignmentStmt:2( NameExpr(add [__main__.add] = 62) OpExpr:2( + IntExpr(15) IntExpr(47)) Literal[62]?) AssignmentStmt:3( NameExpr(add_mul [__main__.add_mul] = 25) OpExpr:3( * OpExpr:3( + IntExpr(2) IntExpr(3)) IntExpr(5)) Literal[25]?) AssignmentStmt:4( NameExpr(sub [__main__.sub] = -4) OpExpr:4( - IntExpr(7) IntExpr(11)) Literal[-4]?) AssignmentStmt:5( NameExpr(bit_and [__main__.bit_and] = 2) OpExpr:5( & IntExpr(6) IntExpr(10)) Literal[2]?) AssignmentStmt:6( NameExpr(bit_or [__main__.bit_or] = 14) OpExpr:6( | IntExpr(6) IntExpr(10)) Literal[14]?) AssignmentStmt:7( NameExpr(bit_xor [__main__.bit_xor] = 12) OpExpr:7( ^ IntExpr(6) IntExpr(10)) Literal[12]?) AssignmentStmt:8( NameExpr(lshift [__main__.lshift] = 20) OpExpr:8( << IntExpr(5) IntExpr(2)) Literal[20]?) AssignmentStmt:9( NameExpr(rshift [__main__.rshift] = 3) OpExpr:9( >> IntExpr(13) IntExpr(2)) Literal[3]?) AssignmentStmt:10( NameExpr(lshift0 [__main__.lshift0] = 5) OpExpr:10( << IntExpr(5) IntExpr(0)) Literal[5]?) AssignmentStmt:11( NameExpr(rshift0 [__main__.rshift0] = 13) OpExpr:11( >> IntExpr(13) IntExpr(0)) Literal[13]?)) [case testConstantFold2] from typing import Final neg1: Final = -5 neg2: Final = --1 neg3: Final = -0 pos: Final = +5 inverted1: Final = ~0 inverted2: Final = ~5 inverted3: Final = ~3 p0: Final = 3**0 p1: Final = 3**5 p2: Final = (-5)**3 p3: Final = 0**0 s: Final = 'x' + 'y' [out] MypyFile:1( ImportFrom:1(typing, [Final]) AssignmentStmt:2( NameExpr(neg1 [__main__.neg1] = -5) UnaryExpr:2( - IntExpr(5)) Literal[-5]?) AssignmentStmt:3( NameExpr(neg2 [__main__.neg2] = 1) UnaryExpr:3( - UnaryExpr:3( - IntExpr(1))) Literal[1]?) AssignmentStmt:4( NameExpr(neg3 [__main__.neg3] = 0) UnaryExpr:4( - IntExpr(0)) Literal[0]?) AssignmentStmt:5( NameExpr(pos [__main__.pos] = 5) UnaryExpr:5( + IntExpr(5)) Literal[5]?) AssignmentStmt:6( NameExpr(inverted1 [__main__.inverted1] = -1) UnaryExpr:6( ~ IntExpr(0)) Literal[-1]?) AssignmentStmt:7( NameExpr(inverted2 [__main__.inverted2] = -6) UnaryExpr:7( ~ IntExpr(5)) Literal[-6]?) AssignmentStmt:8( NameExpr(inverted3 [__main__.inverted3] = -4) UnaryExpr:8( ~ IntExpr(3)) Literal[-4]?) AssignmentStmt:9( NameExpr(p0 [__main__.p0] = 1) OpExpr:9( ** IntExpr(3) IntExpr(0)) Literal[1]?) AssignmentStmt:10( NameExpr(p1 [__main__.p1] = 243) OpExpr:10( ** IntExpr(3) IntExpr(5)) Literal[243]?) AssignmentStmt:11( NameExpr(p2 [__main__.p2] = -125) OpExpr:11( ** UnaryExpr:11( - IntExpr(5)) IntExpr(3)) Literal[-125]?) AssignmentStmt:12( NameExpr(p3 [__main__.p3] = 1) OpExpr:12( ** IntExpr(0) IntExpr(0)) Literal[1]?) AssignmentStmt:13( NameExpr(s [__main__.s] = xy) OpExpr:13( + StrExpr(x) StrExpr(y)) Literal['xy']?)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-symtable.test0000644000175100017510000000350215112307767021263 0ustar00runnerrunner[case testEmptyFile] [out] -- Note that builtins are ignored to simplify output. __main__: SymbolTable() [case testVarDef] x = 1 [out] __main__: SymbolTable( x : Gdef/Var (__main__.x) : builtins.int) [case testFuncDef] def f(): pass [out] __main__: SymbolTable( f : Gdef/FuncDef (__main__.f)) [case testEmptyClassDef] class c: pass [out] __main__: SymbolTable( c : Gdef/TypeInfo (__main__.c)) [case testImport] import m [file m.py] x = 1 [out] __main__: SymbolTable( m : Gdef/MypyFile (m)) m: SymbolTable( x : Gdef/Var (m.x) : builtins.int) [case testImportFromModule] from m import x [file m.py] class x: pass y = 1 [out] __main__: SymbolTable( x : Gdef/TypeInfo (m.x)) m: SymbolTable( x : Gdef/TypeInfo (m.x) y : Gdef/Var (m.y) : builtins.int) [case testImportAs] from m import x as xx [file m.py] class x: pass y = 1 [out] __main__: SymbolTable( xx : Gdef/TypeInfo (m.x)) m: SymbolTable( x : Gdef/TypeInfo (m.x) y : Gdef/Var (m.y) : builtins.int) [case testFailingImports] from sys import non_existing1 # type: ignore from xyz import non_existing2 # type: ignore if int(): from sys import non_existing3 # type: ignore import non_existing4 # type: ignore [out] __main__: SymbolTable( non_existing1 : Gdef/Var (__main__.non_existing1) : Any non_existing2 : Gdef/Var (__main__.non_existing2) : Any non_existing3 : Gdef/Var (__main__.non_existing3) : Any non_existing4 : Gdef/Var (__main__.non_existing4) : Any) [case testDecorator] from typing import Callable def dec(f: Callable[[], None]) -> Callable[[], None]: return f @dec def g() -> None: pass [out] __main__: SymbolTable( Callable : Gdef/Var (typing.Callable) : builtins.int dec : Gdef/FuncDef (__main__.dec) : def (f: def ()) -> def () g : Gdef/Decorator (__main__.g) : def ()) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-typealiases.test0000644000175100017510000002144115112307767021770 0ustar00runnerrunner[case testListTypeAlias] from typing import List def f() -> List[int]: pass [builtins fixtures/list.pyi] [out] MypyFile:1( ImportFrom:1(typing, [List]) FuncDef:2( f def () -> builtins.list[builtins.int] Block:2( PassStmt:2()))) [case testDictTypeAlias] from typing import Dict def f() -> Dict[int, str]: pass [builtins fixtures/dict.pyi] [out] MypyFile:1( ImportFrom:1(typing, [Dict]) FuncDef:2( f def () -> builtins.dict[builtins.int, builtins.str] Block:2( PassStmt:2()))) [case testQualifiedTypeAlias] import typing def f() -> typing.List[int]: pass [builtins fixtures/list.pyi] [out] MypyFile:1( Import:1(typing) FuncDef:2( f def () -> builtins.list[builtins.int] Block:2( PassStmt:2()))) [case testTypeApplicationWithTypeAlias] from typing import List List[List[int]] [builtins fixtures/list.pyi] [out] MypyFile:1( ImportFrom:1(typing, [List]) ExpressionStmt:2( TypeApplication:2( NameExpr(List [typing.List]) Types( builtins.list[builtins.int])))) [case testTypeApplicationWithQualifiedTypeAlias] import typing typing.List[typing.List[int]] [builtins fixtures/list.pyi] [out] MypyFile:1( Import:1(typing) ExpressionStmt:2( TypeApplication:2( MemberExpr:2( NameExpr(typing) List [typing.List]) Types( builtins.list[builtins.int])))) [case testSimpleTypeAlias] import typing class A: pass A2 = A def f(x: A2) -> A: pass [out] MypyFile:1( Import:1(typing) ClassDef:2( A PassStmt:2()) AssignmentStmt:3( NameExpr(A2* [__main__.A2]) NameExpr(A [__main__.A])) FuncDef:4( f Args( Var(x)) def (x: __main__.A) -> __main__.A Block:4( PassStmt:4()))) [case testQualifiedSimpleTypeAlias] import typing import _m A2 = _m.A x = 1 # type: A2 [fixture _m.py] import typing class A: pass [out] MypyFile:1( Import:1(typing) Import:2(_m) AssignmentStmt:3( NameExpr(A2* [__main__.A2]) MemberExpr:3( NameExpr(_m) A [_m.A])) AssignmentStmt:4( NameExpr(x [__main__.x]) IntExpr(1) _m.A)) [case testUnionTypeAlias] from typing import Union U = Union[int, str] def f(x: U) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [Union]) AssignmentStmt:2( NameExpr(U* [__main__.U]) TypeAliasExpr(Union[builtins.int, builtins.str])) FuncDef:3( f Args( Var(x)) def (x: Union[builtins.int, builtins.str]) Block:3( PassStmt:3()))) [case testUnionTypeAlias2] from typing import Union class A: pass U = Union[int, A] def f(x: U) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [Union]) ClassDef:2( A PassStmt:2()) AssignmentStmt:3( NameExpr(U* [__main__.U]) TypeAliasExpr(Union[builtins.int, __main__.A])) FuncDef:4( f Args( Var(x)) def (x: Union[builtins.int, __main__.A]) Block:4( PassStmt:4()))) [case testUnionTypeAliasWithQualifiedUnion] import typing U = typing.Union[int, str] def f(x: U) -> None: pass [out] MypyFile:1( Import:1(typing) AssignmentStmt:2( NameExpr(U* [__main__.U]) TypeAliasExpr(Union[builtins.int, builtins.str])) FuncDef:3( f Args( Var(x)) def (x: Union[builtins.int, builtins.str]) Block:3( PassStmt:3()))) [case testTupleTypeAlias] from typing import Tuple T = Tuple[int, str] def f(x: T) -> None: pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [Tuple]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeAliasExpr(tuple[builtins.int, builtins.str])) FuncDef:3( f Args( Var(x)) def (x: tuple[builtins.int, builtins.str]) Block:3( PassStmt:3()))) [case testCallableTypeAlias] from typing import Callable C = Callable[[int], None] def f(x: C) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [Callable]) AssignmentStmt:2( NameExpr(C* [__main__.C]) TypeAliasExpr(def (builtins.int))) FuncDef:3( f Args( Var(x)) def (x: def (builtins.int)) Block:3( PassStmt:3()))) [case testGenericTypeAlias] from typing import Generic, TypeVar T = TypeVar('T') class G(Generic[T]): pass A = G[int] def f(x: A) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [Generic, TypeVar]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2()) ClassDef:3( G TypeVars( T`1) PassStmt:3()) AssignmentStmt:4( NameExpr(A* [__main__.A]) TypeAliasExpr(__main__.G[builtins.int])) FuncDef:5( f Args( Var(x)) def (x: __main__.G[builtins.int]) Block:5( PassStmt:5()))) [case testGenericTypeAlias2] from typing import List A = List[int] def f(x: A) -> None: pass [builtins fixtures/list.pyi] [out] MypyFile:1( ImportFrom:1(typing, [List]) AssignmentStmt:2( NameExpr(A* [__main__.A]) TypeAliasExpr(builtins.list[builtins.int])) FuncDef:3( f Args( Var(x)) def (x: builtins.list[builtins.int]) Block:3( PassStmt:3()))) [case testImportUnionTypeAlias] import typing from _m import U def f(x: U) -> None: pass [fixture _m.py] from typing import Union class A: pass U = Union[int, A] [out] MypyFile:1( Import:1(typing) ImportFrom:2(_m, [U]) FuncDef:3( f Args( Var(x)) def (x: Union[builtins.int, _m.A]) Block:3( PassStmt:3()))) [case testImportUnionTypeAlias2] import typing import _m def f(x: _m.U) -> None: pass [fixture _m.py] from typing import Union class A: pass U = Union[int, A] [out] MypyFile:1( Import:1(typing) Import:2(_m) FuncDef:3( f Args( Var(x)) def (x: Union[builtins.int, _m.A]) Block:3( PassStmt:3()))) [case testImportSimpleTypeAlias] import typing from _m import A def f(x: A) -> None: pass [fixture _m.py] import typing A = int [out] MypyFile:1( Import:1(typing) ImportFrom:2(_m, [A]) FuncDef:3( f Args( Var(x)) def (x: builtins.int) Block:3( PassStmt:3()))) [case testImportSimpleTypeAlias2] import typing import _m def f(x: _m.A) -> None: pass [fixture _m.py] import typing A = int [out] MypyFile:1( Import:1(typing) Import:2(_m) FuncDef:3( f Args( Var(x)) def (x: builtins.int) Block:3( PassStmt:3()))) [case testAnyTypeAlias] from typing import Any A = Any a = 1 # type: A [out] MypyFile:1( ImportFrom:1(typing, [Any]) AssignmentStmt:2( NameExpr(A* [__main__.A]) NameExpr(Any [typing.Any])) AssignmentStmt:3( NameExpr(a [__main__.a]) IntExpr(1) Any)) [case testAnyTypeAlias2] import typing A = typing.Any a = 1 # type: A [out] MypyFile:1( Import:1(typing) AssignmentStmt:2( NameExpr(A* [__main__.A]) MemberExpr:2( NameExpr(typing) Any [typing.Any])) AssignmentStmt:3( NameExpr(a [__main__.a]) IntExpr(1) Any)) [case testTypeAliasAlias] from typing import Union U = Union[int, str] U2 = U x = 1 # type: U2 [out] MypyFile:1( ImportFrom:1(typing, [Union]) AssignmentStmt:2( NameExpr(U* [__main__.U]) TypeAliasExpr(Union[builtins.int, builtins.str])) AssignmentStmt:3( NameExpr(U2* [__main__.U2]) NameExpr(U [__main__.U])) AssignmentStmt:4( NameExpr(x [__main__.x]) IntExpr(1) Union[builtins.int, builtins.str])) [case testTypeAliasOfImportedAlias] from typing import Union from _m import U U2 = U x = 1 # type: U2 [fixture _m.py] from typing import Union U = Union[int, str] [out] MypyFile:1( ImportFrom:1(typing, [Union]) ImportFrom:2(_m, [U]) AssignmentStmt:3( NameExpr(U2* [__main__.U2]) NameExpr(U [_m.U])) AssignmentStmt:4( NameExpr(x [__main__.x]) IntExpr(1) Union[builtins.int, builtins.str])) [case testListTypeDoesNotGenerateAlias] import typing A = [int, str] a = 1 # type: A # E: Variable "__main__.A" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testCantUseStringLiteralAsTypeAlias] from typing import Union A = 'Union[int, str]' a = 1 # type: A # E: Variable "__main__.A" is not valid as a type \ # N: See https://mypy.readthedocs.io/en/stable/common_issues.html#variables-vs-type-aliases [case testStringLiteralTypeAsAliasComponent] from typing import Union A = Union['int', str] a = 1 # type: A [out] MypyFile:1( ImportFrom:1(typing, [Union]) AssignmentStmt:2( NameExpr(A* [__main__.A]) TypeAliasExpr(Union[builtins.int, builtins.str])) AssignmentStmt:3( NameExpr(a [__main__.a]) IntExpr(1) Union[builtins.int, builtins.str])) [case testComplexTypeAlias] from typing import Union, Tuple, Any A = Union['int', Tuple[int, Any]] a = 1 # type: A [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [Union, Tuple, Any]) AssignmentStmt:2( NameExpr(A* [__main__.A]) TypeAliasExpr(Union[builtins.int, tuple[builtins.int, Any]])) AssignmentStmt:3( NameExpr(a [__main__.a]) IntExpr(1) Union[builtins.int, tuple[builtins.int, Any]])) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-typeddict.test0000644000175100017510000000222715112307767021437 0ustar00runnerrunner-- Create Type -- TODO: Implement support for this syntax. --[case testCanCreateTypedDictTypeWithDictCall] --from typing import TypedDict --Point = TypedDict('Point', dict(x=int, y=int)) --[builtins fixtures/dict.pyi] --[typing fixtures/typing-typeddict.pyi] --[out] --MypyFile:1( -- ImportFrom:1(typing, [TypedDict]) -- AssignmentStmt:2( -- NameExpr(Point* [__main__.Point]) -- TypedDictExpr:2(Point))) [case testCanCreateTypedDictTypeWithDictLiteral] from typing import TypedDict Point = TypedDict('Point', {'x': int, 'y': int}) [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] MypyFile:1( ImportFrom:1(typing, [TypedDict]) AssignmentStmt:2( NameExpr(Point* [__main__.Point]) TypedDictExpr:2(Point))) [case testTypedDictWithDocString] from typing import TypedDict class A(TypedDict): """foo""" x: str [builtins fixtures/dict.pyi] [typing fixtures/typing-typeddict.pyi] [out] MypyFile:1( ImportFrom:1(typing, [TypedDict]) ClassDef:2( A BaseType( typing._TypedDict) ExpressionStmt:3( StrExpr(foo)) AssignmentStmt:4( NameExpr(x) TempNode:4( Any) builtins.str))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-typeinfo.test0000644000175100017510000000333615112307767021305 0ustar00runnerrunner[case testEmptyFile] [out] TypeInfoMap() [case testEmptyClass] class c: pass [out] TypeInfoMap( __main__.c : TypeInfo( Name(__main__.c) Bases(builtins.object) Mro(__main__.c, builtins.object) Names())) [case testClassWithMethod] class c: def f(self): pass [out] TypeInfoMap( __main__.c : TypeInfo( Name(__main__.c) Bases(builtins.object) Mro(__main__.c, builtins.object) Names( f))) [case testClassWithAttributes] class c: def __init__(self, x): self.y = x self.z = 1 [out] TypeInfoMap( __main__.c : TypeInfo( Name(__main__.c) Bases(builtins.object) Mro(__main__.c, builtins.object) Names( __init__ y z))) [case testBaseClass] class base: pass class c(base): pass [out] TypeInfoMap( __main__.base : TypeInfo( Name(__main__.base) Bases(builtins.object) Mro(__main__.base, builtins.object) Names()) __main__.c : TypeInfo( Name(__main__.c) Bases(__main__.base) Mro(__main__.c, __main__.base, builtins.object) Names())) [case testClassAndAbstractClass] from abc import abstractmethod, ABCMeta import typing class i(metaclass=ABCMeta): pass class c(i): pass [out] TypeInfoMap( __main__.c : TypeInfo( Name(__main__.c) Bases(__main__.i) Mro(__main__.c, __main__.i, builtins.object) Names() MetaclassType(abc.ABCMeta)) __main__.i : TypeInfo( Name(__main__.i) Bases(builtins.object) Mro(__main__.i, builtins.object) Names() DeclaredMetaclass(abc.ABCMeta) MetaclassType(abc.ABCMeta))) [case testAttributeWithoutType] class A: a = A [out] TypeInfoMap( __main__.A : TypeInfo( Name(__main__.A) Bases(builtins.object) Mro(__main__.A, builtins.object) Names( a))) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/semanal-types.test0000644000175100017510000007627415112307767020627 0ustar00runnerrunner[case testVarWithType] import typing class A: pass x = A() # type: A y = x [out] MypyFile:1( Import:1(typing) ClassDef:2( A PassStmt:2()) AssignmentStmt:3( NameExpr(x [__main__.x]) CallExpr:3( NameExpr(A [__main__.A]) Args()) __main__.A) AssignmentStmt:4( NameExpr(y* [__main__.y]) NameExpr(x [__main__.x]))) [case testLocalVarWithType] class A: pass def f(): x = None # type: A y = x [out] MypyFile:1( ClassDef:1( A PassStmt:1()) FuncDef:2( f Block:3( AssignmentStmt:3( NameExpr(x [l]) NameExpr(None [builtins.None]) __main__.A) AssignmentStmt:4( NameExpr(y* [l]) NameExpr(x [l]))))) [case testAnyType] from typing import Any x = None # type: Any y = x [out] MypyFile:1( ImportFrom:1(typing, [Any]) AssignmentStmt:2( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) Any) AssignmentStmt:3( NameExpr(y* [__main__.y]) NameExpr(x [__main__.x]))) [case testMemberVarWithType] import typing class A: def __init__(self): self.x = None # type: int [out] MypyFile:1( Import:1(typing) ClassDef:2( A FuncDef:3( __init__ Args( Var(self)) Block:4( AssignmentStmt:4( MemberExpr:4( NameExpr(self [l]) x) NameExpr(None [builtins.None]) builtins.int))))) [case testClassVarWithType] import typing class A: x = None # type: int x = 1 [out] MypyFile:1( Import:1(typing) ClassDef:2( A AssignmentStmt:3( NameExpr(x [m]) NameExpr(None [builtins.None]) builtins.int) AssignmentStmt:4( NameExpr(x [__main__.A.x]) IntExpr(1)))) [case testFunctionSig] from typing import Any class A: pass def f(x: A) -> A: pass def g(x: Any, y: A) -> None: z = x, y [out] MypyFile:1( ImportFrom:1(typing, [Any]) ClassDef:2( A PassStmt:2()) FuncDef:3( f Args( Var(x)) def (x: __main__.A) -> __main__.A Block:3( PassStmt:3())) FuncDef:4( g Args( Var(x) Var(y)) def (x: Any, y: __main__.A) Block:5( AssignmentStmt:5( NameExpr(z* [l]) TupleExpr:5( NameExpr(x [l]) NameExpr(y [l])))))) [case testBaseclass] class A: pass class B(A): pass [out] MypyFile:1( ClassDef:1( A PassStmt:1()) ClassDef:2( B BaseType( __main__.A) PassStmt:2())) [case testMultipleVarDef] class A: pass class B: pass a, b = None, None # type: (A, B) x = a, b [builtins fixtures/tuple.pyi] [out] MypyFile:1( ClassDef:2( A PassStmt:2()) ClassDef:3( B PassStmt:3()) AssignmentStmt:4( TupleExpr:4( NameExpr(a [__main__.a]) NameExpr(b [__main__.b])) TupleExpr:4( NameExpr(None [builtins.None]) NameExpr(None [builtins.None])) tuple[__main__.A, __main__.B]) AssignmentStmt:5( NameExpr(x* [__main__.x]) TupleExpr:5( NameExpr(a [__main__.a]) NameExpr(b [__main__.b])))) [case testGenericType] from typing import TypeVar, Generic, Any t = TypeVar('t') class A(Generic[t]): pass class B: pass x = None # type: A[B] y = None # type: A[Any] [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic, Any]) AssignmentStmt:3( NameExpr(t* [__main__.t]) TypeVarExpr:3()) ClassDef:5( A TypeVars( t`1) PassStmt:5()) ClassDef:6( B PassStmt:6()) AssignmentStmt:7( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) __main__.A[__main__.B]) AssignmentStmt:8( NameExpr(y [__main__.y]) NameExpr(None [builtins.None]) __main__.A[Any])) [case testGenericType2] from typing import TypeVar, Generic, Any t = TypeVar('t') s = TypeVar('s') class A(Generic[t, s]): pass class B: pass x = None # type: A[B, Any] [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic, Any]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) AssignmentStmt:3( NameExpr(s* [__main__.s]) TypeVarExpr:3()) ClassDef:4( A TypeVars( t`1 s`2) PassStmt:4()) ClassDef:5( B PassStmt:5()) AssignmentStmt:6( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) __main__.A[__main__.B, Any])) [case testAssignmentAfterDef] class A: pass a = None # type: A a = 1 def f(): b = None # type: A b = 1 [out] MypyFile:1( ClassDef:3( A PassStmt:3()) AssignmentStmt:4( NameExpr(a [__main__.a]) NameExpr(None [builtins.None]) __main__.A) AssignmentStmt:5( NameExpr(a [__main__.a]) IntExpr(1)) FuncDef:6( f Block:7( AssignmentStmt:7( NameExpr(b [l]) NameExpr(None [builtins.None]) __main__.A) AssignmentStmt:8( NameExpr(b [l]) IntExpr(1))))) [case testCast] from typing import TypeVar, Generic, Any, cast t = TypeVar('t') class c: pass class d(Generic[t]): pass cast(Any, 1) cast(c, 1) cast(d[c], c) [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic, Any, cast]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) ClassDef:3( c PassStmt:3()) ClassDef:4( d TypeVars( t`1) PassStmt:4()) ExpressionStmt:5( CastExpr:5( IntExpr(1) Any)) ExpressionStmt:6( CastExpr:6( IntExpr(1) __main__.c)) ExpressionStmt:7( CastExpr:7( NameExpr(c [__main__.c]) __main__.d[__main__.c]))) [case testCastToQualifiedTypeAndCast] import typing import _m typing.cast(_m.C, object) [fixture _m.py] class C: pass [out] MypyFile:1( Import:1(typing) Import:2(_m) ExpressionStmt:3( CastExpr:3( NameExpr(object [builtins.object]) _m.C))) [case testLongQualifiedCast] import typing import _m._n typing.cast(_m._n.C, object) [fixture _m/__init__.py] [fixture _m/_n.py] class C: pass [out] MypyFile:1( Import:1(typing) Import:2(_m._n) ExpressionStmt:3( CastExpr:3( NameExpr(object [builtins.object]) _m._n.C))) [case testCastTargetWithTwoTypeArgs] from typing import TypeVar, Generic, cast t = TypeVar('t') s = TypeVar('s') class C(Generic[t, s]): pass cast(C[str, int], C) [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic, cast]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) AssignmentStmt:3( NameExpr(s* [__main__.s]) TypeVarExpr:3()) ClassDef:4( C TypeVars( t`1 s`2) PassStmt:4()) ExpressionStmt:5( CastExpr:5( NameExpr(C [__main__.C]) __main__.C[builtins.str, builtins.int]))) [case testCastToTupleType] from typing import Tuple, cast cast(Tuple[int, str], None) [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [Tuple, cast]) ExpressionStmt:2( CastExpr:2( NameExpr(None [builtins.None]) tuple[builtins.int, builtins.str]))) [case testCastToFunctionType] from typing import Callable, cast cast(Callable[[int], str], None) [out] MypyFile:1( ImportFrom:1(typing, [Callable, cast]) ExpressionStmt:2( CastExpr:2( NameExpr(None [builtins.None]) def (builtins.int) -> builtins.str))) [case testCastToStringLiteralType] from typing import cast cast('int', 1) [out] MypyFile:1( ImportFrom:1(typing, [cast]) ExpressionStmt:2( CastExpr:2( IntExpr(1) builtins.int))) [case testAssertType] from typing import assert_type assert_type(1, int) [out] MypyFile:1( ImportFrom:1(typing, [assert_type]) ExpressionStmt:2( AssertTypeExpr:2( IntExpr(1) builtins.int))) [case testFunctionTypeVariable] from typing import TypeVar t = TypeVar('t') def f(x: t) -> None: y = None # type: t [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) FuncDef:3( f Args( Var(x)) def [t] (x: t`-1) Block:4( AssignmentStmt:4( NameExpr(y [l]) NameExpr(None [builtins.None]) t`-1)))) [case testTwoFunctionTypeVariables] from typing import TypeVar t = TypeVar('t') u = TypeVar('u') def f(x: t, y: u, z: t) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) AssignmentStmt:3( NameExpr(u* [__main__.u]) TypeVarExpr:3()) FuncDef:4( f Args( Var(x) Var(y) Var(z)) def [t, u] (x: t`-1, y: u`-2, z: t`-1) Block:4( PassStmt:4()))) [case testNestedGenericFunctionTypeVariable] from typing import TypeVar, Generic t = TypeVar('t') class A(Generic[t]): pass def f(x: A[t], y) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) ClassDef:3( A TypeVars( t`1) PassStmt:3()) FuncDef:4( f Args( Var(x) Var(y)) def [t] (x: __main__.A[t`-1], y: Any) Block:4( PassStmt:4()))) [case testNestedGenericFunctionTypeVariable2] from typing import TypeVar, Tuple, Generic t = TypeVar('t') class A(Generic[t]): pass def f(x: Tuple[int, t]) -> None: pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Tuple, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) ClassDef:3( A TypeVars( t`1) PassStmt:3()) FuncDef:4( f Args( Var(x)) def [t] (x: tuple[builtins.int, t`-1]) Block:4( PassStmt:4()))) [case testNestedGenericFunctionTypeVariable3] from typing import TypeVar, Callable, Generic t = TypeVar('t') class A(Generic[t]): pass def f(x: Callable[[int, t], int]) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Callable, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) ClassDef:3( A TypeVars( t`1) PassStmt:3()) FuncDef:4( f Args( Var(x)) def [t] (x: def (builtins.int, t`-1) -> builtins.int) Block:4( PassStmt:4()))) [case testNestedGenericFunctionTypeVariable4] from typing import TypeVar, Callable, Generic t = TypeVar('t') class A(Generic[t]): pass def f(x: Callable[[], t]) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Callable, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) ClassDef:3( A TypeVars( t`1) PassStmt:3()) FuncDef:4( f Args( Var(x)) def [t] (x: def () -> t`-1) Block:4( PassStmt:4()))) [case testGenericFunctionTypeVariableInReturnType] from typing import TypeVar t = TypeVar('t') def f() -> t: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) FuncDef:3( f def [t] () -> t`-1 Block:3( PassStmt:3()))) [case testSelfType] class A: def f(self, o: object) -> None: pass [out] MypyFile:1( ClassDef:1( A FuncDef:2( f Args( Var(self) Var(o)) def (self: __main__.A, o: builtins.object) Block:2( PassStmt:2())))) [case testNestedGenericFunction] from typing import TypeVar t = TypeVar('t') def f() -> None: def g() -> t: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) FuncDef:3( f def () Block:4( FuncDef:4( g def [t] () -> t`-1 Block:4( PassStmt:4()))))) [case testClassTvar] from typing import TypeVar, Generic t = TypeVar('t') class c(Generic[t]): def f(self) -> t: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:3( NameExpr(t* [__main__.t]) TypeVarExpr:3()) ClassDef:5( c TypeVars( t`1) FuncDef:6( f Args( Var(self)) def (self: __main__.c[t`1]) -> t`1 Block:6( PassStmt:6())))) [case testClassTvar2] from typing import TypeVar, Generic t = TypeVar('t') s = TypeVar('s') class c(Generic[t, s]): def f(self, x: s) -> t: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:3( NameExpr(t* [__main__.t]) TypeVarExpr:3()) AssignmentStmt:4( NameExpr(s* [__main__.s]) TypeVarExpr:4()) ClassDef:6( c TypeVars( t`1 s`2) FuncDef:7( f Args( Var(self) Var(x)) def (self: __main__.c[t`1, s`2], x: s`2) -> t`1 Block:7( PassStmt:7())))) [case testGenericBaseClass] from typing import TypeVar, Generic t = TypeVar('t') class d(Generic[t]): pass class c(d[t], Generic[t]): pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) ClassDef:3( d TypeVars( t`1) PassStmt:3()) ClassDef:4( c TypeVars( t`1) BaseType( __main__.d[t`1]) PassStmt:4())) [case testTupleType] from typing import Tuple t = None # type: tuple t1 = None # type: Tuple[object] t2 = None # type: Tuple[int, object] [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [Tuple]) AssignmentStmt:2( NameExpr(t [__main__.t]) NameExpr(None [builtins.None]) builtins.tuple[Any, ...]) AssignmentStmt:3( NameExpr(t1 [__main__.t1]) NameExpr(None [builtins.None]) tuple[builtins.object]) AssignmentStmt:4( NameExpr(t2 [__main__.t2]) NameExpr(None [builtins.None]) tuple[builtins.int, builtins.object])) [case testVariableLengthTuple] from typing import Tuple t = None # type: Tuple[int, ...] [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [Tuple]) AssignmentStmt:2( NameExpr(t [__main__.t]) NameExpr(None [builtins.None]) builtins.tuple[builtins.int, ...])) [case testInvalidTupleType] from typing import Tuple t = None # type: Tuple[int, str, ...] # E: Unexpected "..." [builtins fixtures/tuple.pyi] [out] [case testFunctionTypes] from typing import Callable f = None # type: Callable[[object, int], str] g = None # type: Callable[[], None] [out] MypyFile:1( ImportFrom:1(typing, [Callable]) AssignmentStmt:2( NameExpr(f [__main__.f]) NameExpr(None [builtins.None]) def (builtins.object, builtins.int) -> builtins.str) AssignmentStmt:3( NameExpr(g [__main__.g]) NameExpr(None [builtins.None]) def ())) [case testOverloadedFunction] from typing import overload, Any @overload def f(a: object) -> int: a @overload def f(a: str) -> object: a def f(a: Any) -> Any: return a [out] MypyFile:1( ImportFrom:1(typing, [overload, Any]) OverloadedFuncDef:2( FuncDef:7( f Args( Var(a)) def (a: Any) -> Any Block:7( ReturnStmt:7( NameExpr(a [l])))) Overload(def (a: builtins.object) -> builtins.int, \ def (a: builtins.str) -> builtins.object) Decorator:2( Var(f) NameExpr(overload [typing.overload]) FuncDef:3( f Args( Var(a)) def (a: builtins.object) -> builtins.int Block:3( ExpressionStmt:3( NameExpr(a [l]))))) Decorator:4( Var(f) NameExpr(overload [typing.overload]) FuncDef:5( f Args( Var(a)) def (a: builtins.str) -> builtins.object Block:5( ExpressionStmt:5( NameExpr(a [l]))))))) [case testReferenceToOverloadedFunction] from typing import overload @overload def f() -> None: pass @overload def f(x: int) -> None: pass def f(*args) -> None: pass x = f [builtins fixtures/tuple.pyi] [out] MypyFile:1( ImportFrom:1(typing, [overload]) OverloadedFuncDef:2( FuncDef:7( f def (*args: Any) VarArg( Var(args)) Block:7( PassStmt:7())) Overload(def (), def (x: builtins.int)) Decorator:2( Var(f) NameExpr(overload [typing.overload]) FuncDef:3( f def () Block:3( PassStmt:3()))) Decorator:4( Var(f) NameExpr(overload [typing.overload]) FuncDef:5( f Args( Var(x)) def (x: builtins.int) Block:5( PassStmt:5())))) AssignmentStmt:9( NameExpr(x* [__main__.x]) NameExpr(f [__main__.f]))) [case testNestedOverloadedFunction] from typing import overload def f(): @overload def g(): pass @overload def g(x): pass def g(*args): pass y = g [out] MypyFile:1( ImportFrom:1(typing, [overload]) FuncDef:2( f Block:3( OverloadedFuncDef:3( FuncDef:8( g VarArg( Var(args)) Block:8( PassStmt:8())) Overload(def () -> Any, def (x: Any) -> Any) Decorator:3( Var(g) NameExpr(overload [typing.overload]) FuncDef:4( g Block:4( PassStmt:4()))) Decorator:5( Var(g) NameExpr(overload [typing.overload]) FuncDef:6( g Args( Var(x)) Block:6( PassStmt:6())))) AssignmentStmt:10( NameExpr(y* [l]) NameExpr(g [l]))))) [case testImplicitGenericTypeArgs] from typing import TypeVar, Generic t = TypeVar('t') s = TypeVar('s') class A(Generic[t, s]): pass x = None # type: A [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) AssignmentStmt:3( NameExpr(s* [__main__.s]) TypeVarExpr:3()) ClassDef:4( A TypeVars( t`1 s`2) PassStmt:4()) AssignmentStmt:5( NameExpr(x [__main__.x]) NameExpr(None [builtins.None]) __main__.A[Any, Any])) [case testImplicitTypeArgsAndGenericBaseClass] from typing import TypeVar, Generic t = TypeVar('t') s = TypeVar('s') class B(Generic[s]): pass class A(B, Generic[t]): pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) AssignmentStmt:3( NameExpr(s* [__main__.s]) TypeVarExpr:3()) ClassDef:4( B TypeVars( s`1) PassStmt:4()) ClassDef:5( A TypeVars( t`1) BaseType( __main__.B[Any]) PassStmt:5())) [case testTypeApplication] from typing import TypeVar, Generic t = TypeVar('t') class A(Generic[t]): pass x = A[int]() [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) ClassDef:3( A TypeVars( t`1) PassStmt:3()) AssignmentStmt:4( NameExpr(x* [__main__.x]) CallExpr:4( TypeApplication:4( NameExpr(A [__main__.A]) Types( builtins.int)) Args()))) [case testTypeApplicationWithTwoTypeArgs] from typing import TypeVar, Generic, Any t = TypeVar('t') s = TypeVar('s') class A(Generic[t, s]): pass x = A[int, Any]() [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic, Any]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) AssignmentStmt:3( NameExpr(s* [__main__.s]) TypeVarExpr:3()) ClassDef:4( A TypeVars( t`1 s`2) PassStmt:4()) AssignmentStmt:5( NameExpr(x* [__main__.x]) CallExpr:5( TypeApplication:5( NameExpr(A [__main__.A]) Types( builtins.int Any)) Args()))) [case testFunctionTypeApplication] from typing import TypeVar t = TypeVar('t') def f(x: t) -> None: pass f[int](1) [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) FuncDef:3( f Args( Var(x)) def [t] (x: t`-1) Block:3( PassStmt:3())) ExpressionStmt:4( CallExpr:4( TypeApplication:4( NameExpr(f [__main__.f]) Types( builtins.int)) Args( IntExpr(1))))) [case testTypeApplicationWithStringLiteralType] from typing import TypeVar, Generic t = TypeVar('t') class A(Generic[t]): pass A['int']() [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:2( NameExpr(t* [__main__.t]) TypeVarExpr:2()) ClassDef:3( A TypeVars( t`1) PassStmt:3()) ExpressionStmt:4( CallExpr:4( TypeApplication:4( NameExpr(A [__main__.A]) Types( builtins.int)) Args()))) [case testVarArgsAndKeywordArgs] def g(*x: int, y: str = ''): pass [builtins fixtures/tuple.pyi] [out] MypyFile:1( FuncDef:1( g MaxPos(0) Args( default( Var(y) StrExpr())) def (*x: builtins.int, y: builtins.str =) -> Any VarArg( Var(x)) Block:1( PassStmt:1()))) [case testQualifiedGeneric] from typing import TypeVar import typing T = TypeVar('T') class A(typing.Generic[T]): pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) Import:2(typing) AssignmentStmt:3( NameExpr(T* [__main__.T]) TypeVarExpr:3()) ClassDef:4( A TypeVars( T`1) PassStmt:4())) [case testQualifiedTypevar] import typing T = typing.TypeVar('T') def f(x: T) -> T: pass [out] MypyFile:1( Import:1(typing) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2()) FuncDef:3( f Args( Var(x)) def [T] (x: T`-1) -> T`-1 Block:3( PassStmt:3()))) [case testAliasedTypevar] from typing import TypeVar as tv T = tv('T') def f(x: T) -> T: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar : tv]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2()) FuncDef:3( f Args( Var(x)) def [T] (x: T`-1) -> T`-1 Block:3( PassStmt:3()))) [case testLocalTypevar] from typing import TypeVar def f(): T = TypeVar('T') def g(x: T) -> T: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) FuncDef:2( f Block:3( AssignmentStmt:3( NameExpr(T* [l]) TypeVarExpr:3()) FuncDef:4( g Args( Var(x)) def [T] (x: T`-1) -> T`-1 Block:4( PassStmt:4()))))) [case testClassLevelTypevar] from typing import TypeVar class A: T = TypeVar('T') def g(self, x: T) -> T: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) ClassDef:2( A AssignmentStmt:3( NameExpr(T* [m]) TypeVarExpr:3()) FuncDef:4( g Args( Var(self) Var(x)) def [T] (self: __main__.A, x: T`-1) -> T`-1 Block:4( PassStmt:4())))) [case testImportTypevar] from typing import Generic from _m import T class A(Generic[T]): y = None # type: T [fixture _m.py] from typing import TypeVar T = TypeVar('T') [out] MypyFile:1( ImportFrom:1(typing, [Generic]) ImportFrom:2(_m, [T]) ClassDef:3( A TypeVars( T`1) AssignmentStmt:4( NameExpr(y [m]) NameExpr(None [builtins.None]) T`1))) [case testQualifiedReferenceToTypevarInClass] from typing import Generic import _m class A(Generic[_m.T]): a = None # type: _m.T def f(self, x: _m.T): b = None # type: _m.T [fixture _m.py] from typing import TypeVar T = TypeVar('T') [out] MypyFile:1( ImportFrom:1(typing, [Generic]) Import:2(_m) ClassDef:3( A TypeVars( _m.T`1) AssignmentStmt:4( NameExpr(a [m]) NameExpr(None [builtins.None]) _m.T`1) FuncDef:5( f Args( Var(self) Var(x)) def (self: __main__.A[_m.T`1], x: _m.T`1) -> Any Block:6( AssignmentStmt:6( NameExpr(b [l]) NameExpr(None [builtins.None]) _m.T`1))))) [case testQualifiedReferenceToTypevarInFunctionSignature] import _m def f(x: _m.T) -> None: a = None # type: _m.T [fixture _m.py] from typing import TypeVar T = TypeVar('T') [out] MypyFile:1( Import:1(_m) FuncDef:2( f Args( Var(x)) def [_m.T] (x: _m.T`-1) Block:3( AssignmentStmt:3( NameExpr(a [l]) NameExpr(None [builtins.None]) _m.T`-1)))) [case testFunctionCommentAnnotation] from typing import Any def f(x): # type: (int) -> Any x = 1 [out] MypyFile:1( ImportFrom:1(typing, [Any]) FuncDef:2( f Args( Var(x)) def (x: builtins.int) -> Any Block:3( AssignmentStmt:3( NameExpr(x [l]) IntExpr(1))))) [case testMethodCommentAnnotation] import typing class A: def f(self, x): # type: (int) -> str x = 1 [out] MypyFile:1( Import:1(typing) ClassDef:2( A FuncDef:3( f Args( Var(self) Var(x)) def (self: __main__.A, x: builtins.int) -> builtins.str Block:4( AssignmentStmt:4( NameExpr(x [l]) IntExpr(1)))))) [case testTypevarWithValues] from typing import TypeVar, Any T = TypeVar('T', int, str) S = TypeVar('S', Any, int, str) [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Any]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2( Values( builtins.int builtins.str))) AssignmentStmt:3( NameExpr(S* [__main__.S]) TypeVarExpr:3( Values( Any builtins.int builtins.str)))) [case testTypevarWithValuesAndVariance] from typing import TypeVar T = TypeVar('T', int, str, covariant=True) [builtins fixtures/bool.pyi] [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2( Variance(COVARIANT) Values( builtins.int builtins.str)))) [case testTypevarWithFalseVariance] from typing import TypeVar T1 = TypeVar('T1', covariant=False) T2 = TypeVar('T2', covariant=False, contravariant=False) T3 = TypeVar('T3', contravariant=False) T4 = TypeVar('T4', covariant=True, contravariant=False) T5 = TypeVar('T5', covariant=False, contravariant=True) [builtins fixtures/bool.pyi] [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(T1* [__main__.T1]) TypeVarExpr:2()) AssignmentStmt:3( NameExpr(T2* [__main__.T2]) TypeVarExpr:3()) AssignmentStmt:4( NameExpr(T3* [__main__.T3]) TypeVarExpr:4()) AssignmentStmt:5( NameExpr(T4* [__main__.T4]) TypeVarExpr:5( Variance(COVARIANT))) AssignmentStmt:6( NameExpr(T5* [__main__.T5]) TypeVarExpr:6( Variance(CONTRAVARIANT)))) [case testTypevarWithBound] from typing import TypeVar T = TypeVar('T', bound=int) [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2( UpperBound(builtins.int)))) [case testGenericFunctionWithValueSet] from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> T: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2( Values( builtins.int builtins.str))) FuncDef:3( f Args( Var(x)) def [T in (builtins.int, builtins.str)] (x: T`-1) -> T`-1 Block:3( PassStmt:3()))) [case testGenericClassWithValueSet] from typing import TypeVar, Generic T = TypeVar('T', int, str) class C(Generic[T]): pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2( Values( builtins.int builtins.str))) ClassDef:3( C TypeVars( T`1) PassStmt:3())) [case testGenericFunctionWithBound] from typing import TypeVar T = TypeVar('T', bound=int) def f(x: T) -> T: pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2( UpperBound(builtins.int))) FuncDef:3( f Args( Var(x)) def [T <: builtins.int] (x: T`-1) -> T`-1 Block:3( PassStmt:3()))) [case testGenericClassWithBound] from typing import TypeVar, Generic T = TypeVar('T', bound=int) class C(Generic[T]): pass [out] MypyFile:1( ImportFrom:1(typing, [TypeVar, Generic]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2( UpperBound(builtins.int))) ClassDef:3( C TypeVars( T`1) PassStmt:3())) [case testSimpleDucktypeDecorator] from typing import _promote @_promote(str) class S: pass [typing fixtures/typing-medium.pyi] [out] MypyFile:1( ImportFrom:1(typing, [_promote]) ClassDef:3( S Promote([builtins.str]) Decorators( PromoteExpr:2(builtins.str)) PassStmt:3())) [case testUnionType] from typing import Union def f(x: Union[int, str]) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [Union]) FuncDef:2( f Args( Var(x)) def (x: Union[builtins.int, builtins.str]) Block:2( PassStmt:2()))) [case testUnionTypeWithNoneItem] from typing import Union def f(x: Union[int, None]) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [Union]) FuncDef:2( f Args( Var(x)) def (x: Union[builtins.int, None]) Block:2( PassStmt:2()))) [case testUnionTypeWithNoneItemAndTwoItems] from typing import Union def f(x: Union[int, None, str]) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [Union]) FuncDef:2( f Args( Var(x)) def (x: Union[builtins.int, None, builtins.str]) Block:2( PassStmt:2()))) [case testUnionTypeWithSingleItem] from typing import Union def f(x: Union[int]) -> None: pass [out] MypyFile:1( ImportFrom:1(typing, [Union]) FuncDef:2( f Args( Var(x)) def (x: builtins.int) Block:2( PassStmt:2()))) [case testOptionalTypes] from typing import Optional x = 1 # type: Optional[int] [out] MypyFile:1( ImportFrom:1(typing, [Optional]) AssignmentStmt:2( NameExpr(x [__main__.x]) IntExpr(1) Union[builtins.int, None])) [case testInvalidOptionalType] from typing import Optional x = 1 # type: Optional[int, str] # E: Optional[...] must have exactly one type argument y = 1 # type: Optional # E: Optional[...] must have exactly one type argument [out] [case testCoAndContravariantTypeVar] from typing import TypeVar T = TypeVar('T', covariant=True) S = TypeVar('S', contravariant=True) [builtins fixtures/bool.pyi] [out] MypyFile:1( ImportFrom:1(typing, [TypeVar]) AssignmentStmt:2( NameExpr(T* [__main__.T]) TypeVarExpr:2( Variance(COVARIANT))) AssignmentStmt:3( NameExpr(S* [__main__.S]) TypeVarExpr:3( Variance(CONTRAVARIANT)))) [case testTupleExpressionAsType] def f(x: (int, int)) -> None: pass [out] main:1: error: Syntax error in type annotation main:1: note: Suggestion: Use Tuple[T1, ..., Tn] instead of (T1, ..., Tn) [case testQualifiedTypeNameBasedOnAny] from typing import Any x = 0 # type: Any z = 0 # type: x.y [out] MypyFile:1( ImportFrom:1(typing, [Any]) AssignmentStmt:2( NameExpr(x [__main__.x]) IntExpr(0) Any) AssignmentStmt:3( NameExpr(z [__main__.z]) IntExpr(0) Any)) [case testParamSpec] from typing import ParamSpec P = ParamSpec("P") [out] MypyFile:1( ImportFrom:1(typing, [ParamSpec]) AssignmentStmt:2( NameExpr(P* [__main__.P]) ParamSpecExpr:2())) [case testTypeVarTuple] from typing_extensions import TypeVarTuple TV = TypeVarTuple("TV") [out] MypyFile:1( ImportFrom:1(typing_extensions, [TypeVarTuple]) AssignmentStmt:2( NameExpr(TV* [__main__.TV]) TypeVarTupleExpr:2( UpperBound(builtins.tuple[builtins.object, ...])))) [builtins fixtures/tuple.pyi] [case testTypeVarTupleCallable] from typing_extensions import TypeVarTuple, Unpack from typing import Callable Ts = TypeVarTuple("Ts") def foo(x: Callable[[Unpack[Ts]], None]) -> None: pass [out] MypyFile:1( ImportFrom:1(typing_extensions, [TypeVarTuple, Unpack]) ImportFrom:2(typing, [Callable]) AssignmentStmt:3( NameExpr(Ts* [__main__.Ts]) TypeVarTupleExpr:3( UpperBound(builtins.tuple[builtins.object, ...]))) FuncDef:5( foo Args( Var(x)) def [Ts] (x: def (*Unpack[Ts`-1])) Block:6( PassStmt:6()))) [builtins fixtures/tuple.pyi] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/stubgen.test0000644000175100017510000024625015112307767017505 0ustar00runnerrunner-- Test cases for stubgen that generate stubs from Python code [case testEmptyFile] [out] [case testSingleFunction] def f(): x = 1 [out] def f() -> None: ... [case testTwoFunctions] def f(a, b): """ this is a docstring more. """ x = 1 def g(arg): pass [out] def f(a, b) -> None: ... def g(arg) -> None: ... [case testDefaultArgInt] def f(a, b=2): ... def g(b=-1, c=0): ... [out] def f(a, b: int = 2) -> None: ... def g(b: int = -1, c: int = 0) -> None: ... [case testFuncDefaultArgNone] def f(x=None): ... [out] def f(x=None) -> None: ... [case testDefaultArgBool] def f(x=True, y=False): ... [out] def f(x: bool = True, y: bool = False) -> None: ... [case testDefaultArgBool_inspect] def f(x=True, y=False): ... [out] def f(x: bool = ..., y: bool = ...): ... [case testDefaultArgStr] def f(x='foo',y="how's quotes"): ... [out] def f(x: str = 'foo', y: str = "how's quotes") -> None: ... [case testDefaultArgStr_inspect] def f(x='foo'): ... [out] def f(x: str = ...): ... [case testDefaultArgBytes] def f(x=b'foo',y=b"what's up",z=b'\xc3\xa0 la une'): ... [out] def f(x: bytes = b'foo', y: bytes = b"what's up", z: bytes = b'\xc3\xa0 la une') -> None: ... [case testDefaultArgFloat] def f(x=1.2,y=1e-6,z=0.0,w=-0.0,v=+1.0): ... def g(x=float("nan"), y=float("inf"), z=float("-inf")): ... [out] def f(x: float = 1.2, y: float = 1e-06, z: float = 0.0, w: float = -0.0, v: float = +1.0) -> None: ... def g(x=..., y=..., z=...) -> None: ... [case testDefaultArgOther] def f(x=ord): ... [out] def f(x=...) -> None: ... [case testPreserveFunctionAnnotation] def f(x: Foo) -> Bar: ... def g(x: Foo = Foo()) -> Bar: ... [out] def f(x: Foo) -> Bar: ... def g(x: Foo = ...) -> Bar: ... [case testPreserveFunctionAnnotationWithArgs] def f(x: foo['x']) -> bar: ... def g(x: foo[x]) -> bar: ... def h(x: foo['x', 'y']) -> bar: ... def i(x: foo[x, y]) -> bar: ... def j(x: foo['x', y]) -> bar: ... def k(x: foo[x, 'y']) -> bar: ... def lit_str(x: Literal['str']) -> Literal['str']: ... def lit_int(x: Literal[1]) -> Literal[1]: ... [out] def f(x: foo['x']) -> bar: ... def g(x: foo[x]) -> bar: ... def h(x: foo['x', 'y']) -> bar: ... def i(x: foo[x, y]) -> bar: ... def j(x: foo['x', y]) -> bar: ... def k(x: foo[x, 'y']) -> bar: ... def lit_str(x: Literal['str']) -> Literal['str']: ... def lit_int(x: Literal[1]) -> Literal[1]: ... [case testPreserveVarAnnotation] x: Foo [out] x: Foo [case testPreserveVarAnnotationWithoutQuotes] x: 'Foo' [out] x: Foo [case testVarArgs] def f(x, *y): ... [out] def f(x, *y) -> None: ... [case testKwVarArgs] def f(x, **y): ... [out] def f(x, **y) -> None: ... [case testVarArgsWithKwVarArgs] def f(a, *b, **c): ... def g(a, *b, c=1): ... def h(a, *b, c=1, **d): ... def i(a, *, b=1): ... def j(a, *, b=1, **c): ... [out] def f(a, *b, **c) -> None: ... def g(a, *b, c: int = 1) -> None: ... def h(a, *b, c: int = 1, **d) -> None: ... def i(a, *, b: int = 1) -> None: ... def j(a, *, b: int = 1, **c) -> None: ... [case testClass] class A: def f(self, x): x = 1 def g(): ... [out] class A: def f(self, x) -> None: ... def g() -> None: ... [case testVariables] i = 1 s = 'a' f = 1.5 c1 = 1j c2 = 0j + 1 bl1 = True bl2 = False bts = b'' [out] i: int s: str f: float c1: complex c2: complex bl1: bool bl2: bool bts: bytes [case testVariablesWithUnary] i = +-1 f = -1.5 c1 = -1j c2 = -1j + 1 bl1 = not True bl2 = not not False [out] i: int f: float c1: complex c2: complex bl1: bool bl2: bool [case testVariablesWithUnaryWrong] i = not +1 bl1 = -True bl2 = not -False bl3 = -(not False) [out] from _typeshed import Incomplete i: Incomplete bl1: Incomplete bl2: Incomplete bl3: Incomplete [case testAnnotatedVariable] x: int = 1 [out] x: int [case testAnnotatedVariableGeneric] x: Foo[int, str] = ... [out] x: Foo[int, str] [case testAnnotatedVariableOldSyntax] x = 1 # type: int [out] x: int [case testAnnotatedVariableNone] x: None [out] x: None [case testAnnotatedVariableNoneOldSyntax] x = None # type: None [out] x: None [case testMultipleVariable] x = y = 1 [out] x: int y: int [case testClassVariable] class C: x = 1 [out] class C: x: int [case testInitTypeAnnotationPreserved] class C: def __init__(self, x: str): pass [out] class C: def __init__(self, x: str) -> None: ... [case testSelfAssignment] from mod import A from typing import Any, Dict, Union class C: def __init__(self): self.a: A = A() self.x = 1 x.y = 2 self.y: Dict[str, Any] = {} self.z: Union[int, str, bool, None] = None [out] from mod import A from typing import Any class C: a: A x: int y: dict[str, Any] z: int | str | bool | None def __init__(self) -> None: ... [case testSelfAndClassBodyAssignment] x = 1 class C: x = 1 def __init__(self): self.x = 1 self.x = 1 [out] x: int class C: x: int def __init__(self) -> None: ... [case testEmptyClass] class A: ... [out] class A: ... [case testSkipPrivateFunction] def _f(): ... def g(): ... [out] def g() -> None: ... [case testIncludePrivateFunction] # flags: --include-private def _f(): ... def g(): ... [out] def _f() -> None: ... def g() -> None: ... [case testSkipPrivateMethod] class A: def _f(self): ... [out] class A: ... [case testIncludePrivateMethod] # flags: --include-private class A: def _f(self): ... [out] class A: def _f(self) -> None: ... [case testSkipPrivateVar] _x = 1 class A: _y = 1 [out] class A: ... [case testIncludePrivateVar] # flags: --include-private _x = 1 class A: _y = 1 [out] _x: int class A: _y: int [case testSpecialInternalVar] __all__ = [] __author__ = '' __version__ = '' [out] __version__: str [case testBaseClass] class A: ... class B(A): ... [out] class A: ... class B(A): ... [case testDecoratedFunction] import x @decorator def foo(x): ... @x.decorator def bar(x): ... @decorator(x=1, y={"a": 1}) def foo_bar(x): ... [out] import x @decorator def foo(x) -> None: ... @x.decorator def bar(x) -> None: ... def foo_bar(x) -> None: ... [case testMultipleAssignment] x, y = 1, 2 [out] from _typeshed import Incomplete x: Incomplete y: Incomplete [case testMultipleAssignmentAnnotated] x, y = 1, "2" # type: int, str [out] x: int y: str [case testMultipleAssignment2] [x, y] = 1, 2 [out] from _typeshed import Incomplete x: Incomplete y: Incomplete [case testKeywordOnlyArg] def f(x, *, y=1): ... def g(x, *, y=1, z=2): ... [out] def f(x, *, y: int = 1) -> None: ... def g(x, *, y: int = 1, z: int = 2) -> None: ... [case testKeywordOnlyArg_inspect] def f(x, *, y=1): ... def g(x, *, y=1, z=2): ... def h(x, *, y, z=2): ... [out] def f(x, *, y: int = ...): ... def g(x, *, y: int = ..., z: int = ...): ... def h(x, *, y, z: int = ...): ... [case testProperty] class A: @property def f(self): return 1 @f.setter def f(self, x): ... @f.deleter def f(self): ... def h(self): self.f = 1 [out] class A: @property def f(self): ... @f.setter def f(self, x) -> None: ... @f.deleter def f(self) -> None: ... def h(self) -> None: ... [case testProperty_semanal] class A: @property def f(self): return 1 @f.setter def f(self, x): ... @f.deleter def f(self): ... def h(self): self.f = 1 [out] class A: @property def f(self): ... @f.setter def f(self, x) -> None: ... @f.deleter def f(self) -> None: ... def h(self) -> None: ... -- a read/write property is treated the same as an attribute [case testProperty_inspect] class A: @property def f(self): return 1 @f.setter def f(self, x): ... def h(self): self.f = 1 [out] from _typeshed import Incomplete class A: f: Incomplete def h(self): ... [case testFunctoolsCachedProperty] import functools class A: @functools.cached_property def x(self): return 'x' [out] import functools class A: @functools.cached_property def x(self): ... [case testFunctoolsCachedPropertyAlias] import functools as ft class A: @ft.cached_property def x(self): return 'x' [out] import functools as ft class A: @ft.cached_property def x(self): ... [case testCachedProperty] from functools import cached_property class A: @cached_property def x(self): return 'x' [out] from functools import cached_property class A: @cached_property def x(self): ... [case testCachedPropertyAlias] from functools import cached_property as cp class A: @cp def x(self): return 'x' [out] from functools import cached_property as cp class A: @cp def x(self): ... [case testStaticMethod] class A: @staticmethod def f(x): ... [out] class A: @staticmethod def f(x) -> None: ... [case testClassMethod] class A: @classmethod def f(cls): ... [out] class A: @classmethod def f(cls) -> None: ... [case testClassMethod_inspect] class A: @classmethod def f(cls): ... [out] class A: @classmethod def f(cls): ... [case testIfMainCheck] def a(): ... if __name__ == '__main__': x = 1 def f(): ... def b(): ... [out] def a() -> None: ... def b() -> None: ... [case testImportStar] from x import * from a.b import * def f(): ... [out] from x import * from a.b import * def f() -> None: ... [case testNoSpacesBetweenEmptyClasses] class X: def g(self): ... class A: ... class B: ... class C: def f(self): ... [out] class X: def g(self) -> None: ... class A: ... class B: ... class C: def f(self) -> None: ... [case testNoSpacesBetweenEmptyClasses_inspect] class X: def g(self): ... class A: ... class B: ... class C: def f(self): ... [out] class X: def g(self): ... class A: ... class B: ... class C: def f(self): ... [case testExceptionBaseClasses] class A(Exception): ... class B(ValueError): ... [out] class A(Exception): ... class B(ValueError): ... [case testOmitSomeSpecialMethods] class A: def __str__(self): ... def __repr__(self): ... def __eq__(self): ... def __getstate__(self): ... def __setstate__(self, state): ... [out] class A: def __eq__(self): ... [case testOmitSomeSpecialMethods_inspect] class A: def __str__(self): ... def __repr__(self): ... def __eq__(self): ... def __getstate__(self): ... def __setstate__(self, state): ... [out] class A: def __eq__(self) -> bool: ... -- Tests that will perform runtime imports of modules. -- Don't use `_import` suffix if there are unquoted forward references. [case testOmitDefsNotInAll_import] __all__ = [] + ['f'] def f(): ... def g(): ... [out] __all__ = ['f'] def f() -> None: ... [case testOmitDefsNotInAll_semanal] __all__ = ['f'] def f(): ... def g(): ... [out] __all__ = ['f'] def f() -> None: ... [case testOmitDefsNotInAll_inspect] __all__ = [] + ['f'] def f(): ... def g(): ... [out] __all__ = ['f'] def f(): ... [case testVarDefsNotInAll_import] __all__ = [] + ['f', 'g'] def f(): ... x = 1 y = 1 def g(): ... [out] __all__ = ['f', 'g'] def f() -> None: ... def g() -> None: ... [case testVarDefsNotInAll_inspect] __all__ = [] + ['f', 'g'] def f(): ... x = 1 y = 1 def g(): ... [out] __all__ = ['f', 'g'] def f(): ... def g(): ... [case testIncludeClassNotInAll_import] __all__ = [] + ['f'] def f(): ... class A: ... [out] __all__ = ['f'] def f() -> None: ... class A: ... [case testIncludeClassNotInAll_inspect] __all__ = [] + ['f'] def f(): ... class A: ... [out] __all__ = ['f'] def f(): ... class A: ... [case testAllAndClass_import] __all__ = ['A'] class A: x = 1 def f(self): ... [out] __all__ = ['A'] class A: x: int def f(self) -> None: ... [case testSkipMultiplePrivateDefs] class A: ... _x = 1 _y = 1 _z = 1 class C: ... [out] class A: ... class C: ... [case testIncludeMultiplePrivateDefs] # flags: --include-private class A: ... _x = 1 _y = 1 _z = 1 class C: ... [out] class A: ... _x: int _y: int _z: int class C: ... [case testIncludeFromImportIfInAll_import] from re import match, search, sub __all__ = ['match', 'sub', 'x'] x = 1 [out] from re import match as match, sub as sub __all__ = ['match', 'sub', 'x'] x: int [case testExportModule_import] import re __all__ = ['re', 'x'] x = 1 y = 2 [out] import re as re __all__ = ['re', 'x'] x: int [case testExportModule2_import] import re __all__ = ['re', 'x'] x = 1 y = 2 [out] import re as re __all__ = ['re', 'x'] x: int [case testExportModuleAs_import] import re as rex __all__ = ['rex', 'x'] x = 1 y = 2 [out] import re as rex __all__ = ['rex', 'x'] x: int [case testExportModuleInPackage_import] import urllib.parse as p __all__ = ['p'] [out] import urllib.parse as p __all__ = ['p'] [case testExportPackageOfAModule_import] import urllib.parse __all__ = ['urllib'] [out] import urllib as urllib __all__ = ['urllib'] [case testRelativeImportAll] from .x import * [out] from .x import * [case testCommentForUndefinedName_import] __all__ = ['f', 'x', 'C', 'g'] def f(): ... x = 1 class C: def g(self): ... [out] __all__ = ['f', 'x', 'C', 'g'] def f() -> None: ... x: int class C: def g(self) -> None: ... # Names in __all__ with no definition: # g [case testCommentForUndefinedName_inspect] __all__ = ['f', 'x', 'C', 'g'] def f(): ... x = 1 class C: def g(self): ... [out] __all__ = ['f', 'x', 'C', 'g'] def f(): ... x: int class C: def g(self): ... # Names in __all__ with no definition: # g [case testIgnoreSlots] class A: __slots__ = () [out] class A: ... [case testSkipPrivateProperty] class A: @property def _foo(self): ... [out] class A: ... [case testSkipPrivateProperty_inspect] class A: @property def _foo(self): ... [out] class A: ... [case testIncludePrivateProperty] # flags: --include-private class A: @property def _foo(self): ... [out] class A: @property def _foo(self) -> None: ... [case testIncludePrivateProperty_inspect] # flags: --include-private class A: @property def _foo(self): ... [out] class A: @property def _foo(self): ... [case testSkipPrivateStaticAndClassMethod] class A: @staticmethod def _foo(): ... @classmethod def _bar(cls): ... [out] class A: ... [case testSkipPrivateStaticAndClassMethod_inspect] class A: @staticmethod def _foo(): ... @classmethod def _bar(cls): ... [out] class A: ... [case testIncludePrivateStaticAndClassMethod] # flags: --include-private class A: @staticmethod def _foo(): ... @classmethod def _bar(cls): ... [out] class A: @staticmethod def _foo() -> None: ... @classmethod def _bar(cls) -> None: ... [case testIncludePrivateStaticAndClassMethod_inspect] # flags: --include-private class A: @staticmethod def _foo(): ... @classmethod def _bar(cls): ... [out] class A: @staticmethod def _foo(): ... @classmethod def _bar(cls): ... [case testNamedtuple] import collections, typing, x X = collections.namedtuple('X', ['a', 'b']) Y = typing.NamedTuple('Y', [('a', int), ('b', str)]) [out] from _typeshed import Incomplete from typing import NamedTuple class X(NamedTuple): a: Incomplete b: Incomplete class Y(NamedTuple): a: int b: str [case testNamedTupleClassSyntax_semanal] from typing import NamedTuple class A(NamedTuple): x: int y: str = 'a' class B(A): z1: str z2 = 1 z3: str = 'b' class RegularClass: x: int y: str = 'a' class NestedNamedTuple(NamedTuple): x: int y: str = 'a' z: str = 'b' [out] from typing import NamedTuple class A(NamedTuple): x: int y: str = ... class B(A): z1: str z2: int z3: str class RegularClass: x: int y: str class NestedNamedTuple(NamedTuple): x: int y: str = ... z: str [case testNestedClassInNamedTuple_semanal-xfail] from typing import NamedTuple # TODO: make sure that nested classes in `NamedTuple` are supported: class NamedTupleWithNestedClass(NamedTuple): class Nested: x: int y: str = 'a' [out] from typing import NamedTuple class NamedTupleWithNestedClass(NamedTuple): class Nested: x: int y: str [case testEmptyNamedtuple] import collections, typing X = collections.namedtuple('X', []) Y = typing.NamedTuple('Y', []) [out] from typing import NamedTuple class X(NamedTuple): ... class Y(NamedTuple): ... [case testNamedtupleAltSyntax] from collections import namedtuple, xx X = namedtuple('X', 'a b') xx [out] from _typeshed import Incomplete from typing import NamedTuple class X(NamedTuple): a: Incomplete b: Incomplete [case testNamedtupleAltSyntaxUsingComma] from collections import namedtuple, xx X = namedtuple('X', 'a, b') xx [out] from _typeshed import Incomplete from typing import NamedTuple class X(NamedTuple): a: Incomplete b: Incomplete [case testNamedtupleAltSyntaxUsingMultipleCommas] from collections import namedtuple, xx X = namedtuple('X', 'a,, b') xx [out] from _typeshed import Incomplete from typing import NamedTuple class X(NamedTuple): a: Incomplete b: Incomplete [case testNamedtupleWithUnderscore] from collections import namedtuple as _namedtuple from typing import NamedTuple as _NamedTuple def f(): ... X = _namedtuple('X', 'a b') Y = _NamedTuple('Y', [('a', int), ('b', str)]) def g(): ... [out] from _typeshed import Incomplete from typing import NamedTuple def f() -> None: ... class X(NamedTuple): a: Incomplete b: Incomplete class Y(NamedTuple): a: int b: str def g() -> None: ... [case testNamedtupleBaseClass] import collections, x _X = collections.namedtuple('_X', ['a', 'b']) class Y(_X): ... [out] from _typeshed import Incomplete from typing import NamedTuple class _X(NamedTuple): a: Incomplete b: Incomplete class Y(_X): ... [case testNamedtupleAltSyntaxFieldsTuples] from collections import namedtuple, xx from typing import NamedTuple X = namedtuple('X', ()) Y = namedtuple('Y', ('a',)) Z = namedtuple('Z', ('a', 'b', 'c', 'd', 'e')) xx R = NamedTuple('R', ()) S = NamedTuple('S', (('a', int),)) T = NamedTuple('T', (('a', int), ('b', str))) [out] from _typeshed import Incomplete from typing import NamedTuple class X(NamedTuple): ... class Y(NamedTuple): a: Incomplete class Z(NamedTuple): a: Incomplete b: Incomplete c: Incomplete d: Incomplete e: Incomplete class R(NamedTuple): ... class S(NamedTuple): a: int class T(NamedTuple): a: int b: str [case testDynamicNamedTuple] from collections import namedtuple from typing import NamedTuple N = namedtuple('N', ['x', 'y'] + ['z']) M = NamedTuple('M', [('x', int), ('y', str)] + [('z', float)]) class X(namedtuple('X', ['a', 'b'] + ['c'])): ... [out] from _typeshed import Incomplete N: Incomplete M: Incomplete class X(Incomplete): ... [case testNamedTupleInClassBases] import collections, typing from collections import namedtuple from typing import NamedTuple class X(namedtuple('X', ['a', 'b'])): ... class Y(NamedTuple('Y', [('a', int), ('b', str)])): ... class R(collections.namedtuple('R', ['a', 'b'])): ... class S(typing.NamedTuple('S', [('a', int), ('b', str)])): ... [out] import typing from _typeshed import Incomplete from typing import NamedTuple class X(NamedTuple('X', [('a', Incomplete), ('b', Incomplete)])): ... class Y(NamedTuple('Y', [('a', int), ('b', str)])): ... class R(NamedTuple('R', [('a', Incomplete), ('b', Incomplete)])): ... class S(typing.NamedTuple('S', [('a', int), ('b', str)])): ... [case testNotNamedTuple] from not_collections import namedtuple from not_typing import NamedTuple from collections import notnamedtuple from typing import NotNamedTuple X = namedtuple('X', ['a', 'b']) Y = notnamedtuple('Y', ['a', 'b']) Z = NamedTuple('Z', [('a', int), ('b', str)]) W = NotNamedTuple('W', [('a', int), ('b', str)]) [out] from _typeshed import Incomplete X: Incomplete Y: Incomplete Z: Incomplete W: Incomplete [case testNamedTupleFromImportAlias] import collections as c import typing as t import typing_extensions as te X = c.namedtuple('X', ['a', 'b']) Y = t.NamedTuple('Y', [('a', int), ('b', str)]) Z = te.NamedTuple('Z', [('a', int), ('b', str)]) [out] from _typeshed import Incomplete from typing import NamedTuple class X(NamedTuple): a: Incomplete b: Incomplete class Y(NamedTuple): a: int b: str class Z(NamedTuple): a: int b: str [case testArbitraryBaseClass] import x class D(x.C): ... [out] import x class D(x.C): ... [case testArbitraryBaseClass2] import x.y class D(x.y.C): ... [out] import x.y class D(x.y.C): ... [case testUnqualifiedArbitraryBaseClassWithNoDef] class A(int): ... [out] class A(int): ... [case testUnqualifiedArbitraryBaseClass] from x import X class A(X): ... [out] from x import X class A(X): ... [case testUnqualifiedArbitraryBaseClassWithImportAs] from x import X as _X class A(_X): ... [out] from x import X as _X class A(_X): ... [case testGenericClass] class D(Generic[T]): ... [out] class D(Generic[T]): ... [case testGenericClass_semanal] from typing import Generic, TypeVar T = TypeVar('T') class D(Generic[T]): ... [out] from typing import Generic, TypeVar T = TypeVar('T') class D(Generic[T]): ... [case testGenericClassTypeVarTuple] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple('Ts') class D(Generic[Unpack[Ts]]): ... def callback(func: Callable[[Unpack[Ts]], None], *args: Unpack[Ts]) -> None: ... [out] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple('Ts') class D(Generic[Unpack[Ts]]): ... def callback(func: Callable[[Unpack[Ts]], None], *args: Unpack[Ts]) -> None: ... [case testGenericClassTypeVarTuple_semanal] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple('Ts') class D(Generic[Unpack[Ts]]): ... def callback(func: Callable[[Unpack[Ts]], None], *args: Unpack[Ts]) -> None: ... [out] from typing import Generic from typing_extensions import TypeVarTuple, Unpack Ts = TypeVarTuple('Ts') class D(Generic[Unpack[Ts]]): ... def callback(func: Callable[[Unpack[Ts]], None], *args: Unpack[Ts]) -> None: ... [case testGenericClassTypeVarTuplePy311] # flags: --python-version=3.11 from typing import Generic, TypeVarTuple Ts = TypeVarTuple('Ts') class D(Generic[*Ts]): ... def callback(func: Callable[[*Ts], None], *args: *Ts) -> None: ... [out] from typing import Generic, TypeVarTuple Ts = TypeVarTuple('Ts') class D(Generic[*Ts]): ... def callback(func: Callable[[*Ts], None], *args: *Ts) -> None: ... [case testGenericClassTypeVarTuplePy311_semanal] # flags: --python-version=3.11 from typing import Generic, TypeVarTuple Ts = TypeVarTuple('Ts') class D(Generic[*Ts]): ... def callback(func: Callable[[*Ts], None], *args: *Ts) -> None: ... [out] from typing import Generic, TypeVarTuple Ts = TypeVarTuple('Ts') class D(Generic[*Ts]): ... def callback(func: Callable[[*Ts], None], *args: *Ts) -> None: ... [case testObjectBaseClass] class A(object): ... [out] class A: ... [case testObjectBaseClassWithImport] import builtins as b class A(b.object): ... [out] class A: ... [case testEmptyLines] def x(): ... def f(): class A: def f(self): self.x = 1 def g(): ... [out] def x() -> None: ... def f() -> None: ... def g() -> None: ... [case testNestedClass] class A: class B: x = 1 def f(self): ... def g(self): ... [out] class A: class B: x: int def f(self) -> None: ... def g(self) -> None: ... [case testExportViaRelativeImport] from .api import get [out] from .api import get as get [case testExportViaRelativePackageImport] from .packages.urllib3.contrib import parse [out] from .packages.urllib3.contrib import parse as parse [case testNoExportViaRelativeImport] from . import get get() [out] [case testRelativeImportAndBase] from .x import X class A(X): pass [out] from .x import X class A(X): ... [case testDuplicateDef] def syslog(a): pass def syslog(a): pass [out] def syslog(a) -> None: ... [case testAsyncAwait_fast_parser] async def f(a): x = await y [out] async def f(a) -> None: ... [case testMethodDefaultArgNone] class A: x = None def __init__(self, a=None): self.x = [] def method(self, a=None): self.x = [] [out] from _typeshed import Incomplete class A: x: Incomplete def __init__(self, a=None) -> None: ... def method(self, a=None) -> None: ... [case testAnnotationImportsFrom] import foo from collections import defaultdict x: defaultdict [out] from collections import defaultdict x: defaultdict [case testAnnotationImports] import foo import collections x: collections.defaultdict [out] import collections x: collections.defaultdict [case testAnnotationImports2] from typing import List import collections x: List[collections.defaultdict] [out] import collections x: list[collections.defaultdict] [case testAnnotationFwRefs] x: C class C: attr: C y: C [out] x: C class C: attr: C y: C [case testTypeVarPreserved] tv = TypeVar('tv') ps = ParamSpec('ps') tvt = TypeVarTuple('tvt') [out] from typing import TypeVar from typing_extensions import ParamSpec, TypeVarTuple tv = TypeVar('tv') ps = ParamSpec('ps') tvt = TypeVarTuple('tvt') [case testTypeVarArgsPreserved] tv = TypeVar('tv', int, str) [out] from typing import TypeVar tv = TypeVar('tv', int, str) [case testTypeVarNamedArgsPreserved] tv = TypeVar('tv', bound=bool, covariant=True) ps = ParamSpec('ps', bound=bool, covariant=True) [out] from typing import TypeVar from typing_extensions import ParamSpec tv = TypeVar('tv', bound=bool, covariant=True) ps = ParamSpec('ps', bound=bool, covariant=True) [case TypeVarImportAlias] from typing import TypeVar as t_TV, ParamSpec as t_PS from typing_extensions import TypeVar as te_TV, TypeVarTuple as te_TVT from x import TypeVar as x_TV T = t_TV('T') U = te_TV('U') V = x_TV('V') PS = t_PS('PS') TVT = te_TVT('TVT') [out] from _typeshed import Incomplete from typing import ParamSpec as t_PS, TypeVar as t_TV from typing_extensions import TypeVar as te_TV, TypeVarTuple as te_TVT T = t_TV('T') U = te_TV('U') V: Incomplete PS = t_PS('PS') TVT = te_TVT('TVT') [case testTypeVarFromImportAlias] import typing as t import typing_extensions as te import x T = t.TypeVar('T') U = te.TypeVar('U') V = x.TypeVar('V') PS = t.ParamSpec('PS') TVT = te.TypeVarTuple('TVT') [out] import typing as t import typing_extensions as te from _typeshed import Incomplete T = t.TypeVar('T') U = te.TypeVar('U') V: Incomplete PS = t.ParamSpec('PS') TVT = te.TypeVarTuple('TVT') [case testTypeAliasPreserved] alias = str [out] alias = str [case testDeepTypeAliasPreserved] alias = Dict[str, List[str]] [out] alias = Dict[str, List[str]] [case testDeepGenericTypeAliasPreserved] from typing import TypeVar T = TypeVar('T') alias = Union[T, List[T]] [out] from typing import TypeVar T = TypeVar('T') alias = Union[T, List[T]] [case testExplicitTypeAlias] from typing import TypeAlias explicit_alias: TypeAlias = tuple[int, str] implicit_alias = list[int] [out] from typing import TypeAlias explicit_alias: TypeAlias = tuple[int, str] implicit_alias = list[int] [case testEllipsisAliasPreserved] alias = Tuple[int, ...] [out] alias = Tuple[int, ...] [case testCallableAliasPreserved] alias1 = Callable[..., int] alias2 = Callable[[str, bool], None] [out] alias1 = Callable[..., int] alias2 = Callable[[str, bool], None] [case testAliasPullsImport] from module import Container alias = Container[Any] [out] from module import Container from typing import Any alias = Container[Any] [case testAliasExceptions] noalias1 = None noalias2 = ... noalias3 = True [out] from _typeshed import Incomplete noalias1: Incomplete noalias2: Incomplete noalias3: bool [case testComplexAlias] # modules: main a from a import valid def func() -> int: return 2 aliased_func = func int_value = 1 class A: cls_var = valid def __init__(self, arg: str) -> None: self.self_var = arg def meth(self) -> None: func_value = int_value alias_meth = meth alias_func = func alias_alias_func = aliased_func int_value = int_value [file a.py] valid : list[int] = [1, 2, 3] [out] # main.pyi from _typeshed import Incomplete from a import valid def func() -> int: ... aliased_func = func int_value: int class A: cls_var = valid self_var: Incomplete def __init__(self, arg: str) -> None: ... def meth(self) -> None: ... alias_meth = meth alias_func = func alias_alias_func = aliased_func int_value = int_value # a.pyi valid: list[int] -- More features/fixes: -- do not export deleted names [case testFunctionNoReturnInfersReturnNone] def f(): x = 1 [out] def f() -> None: ... [case testFunctionReturnNoReturnType] def f(): return 1 def g(): return [out] def f(): ... def g() -> None: ... [case testFunctionEllipsisInfersReturnNone] def f(): ... [out] def f() -> None: ... [case testFunctionYields] def f(): yield 123 def g(): x = yield def h1(): yield return def h2(): yield return "abc" def h3(): yield return None def all(): x = yield 123 return "abc" [out] from _typeshed import Incomplete from collections.abc import Generator def f() -> Generator[Incomplete]: ... def g() -> Generator[None, Incomplete]: ... def h1() -> Generator[None]: ... def h2() -> Generator[None, None, Incomplete]: ... def h3() -> Generator[None]: ... def all() -> Generator[Incomplete, Incomplete, Incomplete]: ... [case testFunctionYieldsNone] def f(): yield def g(): yield None [out] from collections.abc import Generator def f() -> Generator[None]: ... def g() -> Generator[None]: ... [case testGeneratorAlreadyDefined] class Generator: pass def f(): yield 123 [out] from _typeshed import Incomplete from collections.abc import Generator as _Generator class Generator: ... def f() -> _Generator[Incomplete]: ... [case testGeneratorYieldFrom] def g1(): yield from x def g2(): y = yield from x def g3(): yield from x return def g4(): yield from x return None def g5(): yield from x return z [out] from _typeshed import Incomplete from collections.abc import Generator def g1() -> Generator[Incomplete, Incomplete]: ... def g2() -> Generator[Incomplete, Incomplete]: ... def g3() -> Generator[Incomplete, Incomplete]: ... def g4() -> Generator[Incomplete, Incomplete]: ... def g5() -> Generator[Incomplete, Incomplete, Incomplete]: ... [case testGeneratorYieldAndYieldFrom] def g1(): yield x1 yield from x2 def g2(): yield x1 y = yield from x2 def g3(): y = yield x1 yield from x2 def g4(): yield x1 yield from x2 return def g5(): yield x1 yield from x2 return None def g6(): yield x1 yield from x2 return z def g7(): yield None yield from x2 [out] from _typeshed import Incomplete from collections.abc import Generator def g1() -> Generator[Incomplete, Incomplete]: ... def g2() -> Generator[Incomplete, Incomplete]: ... def g3() -> Generator[Incomplete, Incomplete]: ... def g4() -> Generator[Incomplete, Incomplete]: ... def g5() -> Generator[Incomplete, Incomplete]: ... def g6() -> Generator[Incomplete, Incomplete, Incomplete]: ... def g7() -> Generator[Incomplete, Incomplete]: ... [case testCallable] from typing import Callable x: Callable[[int, int], int] [out] from typing import Callable x: Callable[[int, int], int] [case testAwaitDef] class F: async def f(self): return 1 async def g(): return 2 [out] class F: async def f(self): ... async def g(): ... [case testCoroutineImportAsyncio] import asyncio class F: @asyncio.coroutine def f(self): return 1 @asyncio.coroutine def g(): return 2 @asyncio.coroutine def h(): return 3 [out] import asyncio class F: @asyncio.coroutine def f(self): ... @asyncio.coroutine def g(): ... @asyncio.coroutine def h(): ... [case testCoroutineImportAsyncioCoroutines] import asyncio.coroutines class F: @asyncio.coroutines.coroutine def f(self): return 1 @asyncio.coroutines.coroutine def g(): return 2 [out] import asyncio.coroutines class F: @asyncio.coroutines.coroutine def f(self): ... @asyncio.coroutines.coroutine def g(): ... [case testCoroutineImportAsyncioCoroutinesSub] import asyncio class F: @asyncio.coroutines.coroutine def f(self): return 1 @asyncio.coroutines.coroutine def g(): return 2 [out] import asyncio class F: @asyncio.coroutines.coroutine def f(self): ... @asyncio.coroutines.coroutine def g(): ... [case testCoroutineImportTypes] import types class F: @types.coroutine def f(self): return 1 @types.coroutine def g(): return 2 [out] import types class F: @types.coroutine def f(self): ... @types.coroutine def g(): ... [case testCoroutineFromAsyncioImportCoroutine] from asyncio import coroutine class F: @coroutine def f(self): return 1 @coroutine def g(): return 2 [out] from asyncio import coroutine class F: @coroutine def f(self): ... @coroutine def g(): ... [case testCoroutineFromAsyncioCoroutinesImportCoroutine] from asyncio.coroutines import coroutine class F: @coroutine def f(self): return 1 @coroutine def g(): return 2 [out] from asyncio.coroutines import coroutine class F: @coroutine def f(self): ... @coroutine def g(): ... [case testCoroutineFromTypesImportCoroutine] from types import coroutine class F: @coroutine def f(self): return 1 @coroutine def g(): return 2 [out] from types import coroutine class F: @coroutine def f(self): ... @coroutine def g(): ... [case testCoroutineFromAsyncioImportCoroutineAsC] from asyncio import coroutine as c class F: @c def f(self): return 1 @c def g(): return 2 [out] from asyncio import coroutine as c class F: @c def f(self): ... @c def g(): ... [case testCoroutineFromAsyncioCoroutinesImportCoroutineAsC] from asyncio.coroutines import coroutine as c class F: @c def f(self): return 1 @c def g(): return 2 [out] from asyncio.coroutines import coroutine as c class F: @c def f(self): ... @c def g(): ... [case testCoroutineFromTypesImportCoroutineAsC] from types import coroutine as c class F: @c def f(self): return 1 @c def g(): return 2 [out] from types import coroutine as c class F: @c def f(self): ... @c def g(): ... [case testCoroutineImportAsyncioAsA] import asyncio as a class F: @a.coroutine def f(self): return 1 @a.coroutine def g(): return 2 [out] import asyncio as a class F: @a.coroutine def f(self): ... @a.coroutine def g(): ... [case testCoroutineImportAsyncioCoroutinesAsC] import asyncio.coroutines as c class F: @c.coroutine def f(self): return 1 @c.coroutine def g(): return 2 [out] import asyncio.coroutines as c class F: @c.coroutine def f(self): ... @c.coroutine def g(): ... [case testCoroutineImportAsyncioCoroutinesSubAsA] import asyncio as a class F: @a.coroutines.coroutine def f(self): return 1 @a.coroutines.coroutine def g(): return 2 [out] import asyncio as a class F: @a.coroutines.coroutine def f(self): ... @a.coroutines.coroutine def g(): ... [case testCoroutineImportTypesAsT] import types as t class F: @t.coroutine def f(self): return 1 @t.coroutine def g(): return 2 [out] import types as t class F: @t.coroutine def f(self): ... @t.coroutine def g(): ... -- Tests for stub generation from semantically analyzed trees. -- These tests are much slower, so use the `_semanal` suffix only when needed. [case testNestedClass_semanal] class Outer: class Inner: pass A = Outer.Inner [out] class Outer: class Inner: ... A = Outer.Inner -- needs improvement [case testNestedClass_inspect] class Outer: class Inner: pass A = Outer.Inner [out] class Outer: class Inner: ... class A: ... [case testFunctionAlias_semanal] from asyncio import coroutine @coroutine def start_server(): ... start = start_server [out] from asyncio import coroutine @coroutine def start_server() -> None: ... start = start_server [case testModuleAlias_semanal] import a b = a [file a.py] x = 1 [out] import a b = a [case testBadAliasNested_semanal] import a x = registry[a.f] [file a.py] def f(): ... [out] from _typeshed import Incomplete x: Incomplete [case testCrossModuleClass_semanal] import a class C: x: A def f(self) -> A: ... A = a.A [file a.py] class A: ... [out] import a class C: x: A def f(self) -> A: ... A = a.A [case testCrossModuleFunction_semanal] import a g = a.f [file a.py] def f(): ... [out] import a g = a.f [case testPrivateAliasesExcluded_semanal] import a, _a class C: ... A = a._A B = _a.f _C = C [file a.py] class _A: ... [file _a.py] def f(): ... [out] from _typeshed import Incomplete class C: ... A: Incomplete B: Incomplete [case testPrivateAliasesIncluded_semanal] # flags: --include-private import a, _a class C: ... A = a._A B = _a.f _C = C [file a.py] class _A: ... [file _a.py] def f(): ... [out] import _a import a class C: ... A = a._A B = _a.f _C = C [case testFinalWrapped_semanal] from typing import Final x: Final = 1 y: Final = x z: Final[object] t: Final [out] from _typeshed import Incomplete from typing import Final x: Final[int] y: Final[Incomplete] z: Final[object] t: Final[Incomplete] [case testFinalInvalid_semanal] Final = 'boom' x: Final = 1 [out] Final: str x: Final [case testNoFunctionNested_semanal] import a from typing import Dict, Any funcs: Dict[Any, Any] f = funcs[a.f] [out] from _typeshed import Incomplete from typing import Any funcs: dict[Any, Any] f: Incomplete [case testAbstractMethodNameExpr] from abc import ABCMeta, abstractmethod class A(metaclass=ABCMeta): @abstractmethod def meth(self): pass [out] from abc import ABCMeta, abstractmethod class A(metaclass=ABCMeta): @abstractmethod def meth(self): ... [case testAbstractMethodMemberExpr] import abc class A(metaclass=abc.ABCMeta): @abc.abstractmethod def meth(self): pass [out] import abc class A(metaclass=abc.ABCMeta): @abc.abstractmethod def meth(self): ... [case testAbstractMethodMemberExpr2] import abc as _abc class A(metaclass=abc.ABCMeta): @_abc.abstractmethod def meth(self): pass [out] import abc as _abc class A(metaclass=abc.ABCMeta): @_abc.abstractmethod def meth(self): ... [case testABCMeta_semanal] from base import Base from abc import abstractmethod class C(Base): @abstractmethod def other(self): pass [file base.py] from abc import abstractmethod, ABCMeta class Base(metaclass=ABCMeta): @abstractmethod def meth(self): pass [out] import abc from abc import abstractmethod from base import Base class C(Base, metaclass=abc.ABCMeta): @abstractmethod def other(self): ... [case testInvalidNumberOfArgsInAnnotation] def f(x): # type: () -> int return '' [out] def f(x): ... [case testFunctionPartiallyAnnotated] def f(x) -> None: pass def g(x, y: str): pass class A: def f(self, x) -> None: pass [out] def f(x) -> None: ... def g(x, y: str): ... class A: def f(self, x) -> None: ... -- Same as above [case testFunctionPartiallyAnnotated_inspect] def f(x) -> None: pass def g(x, y: str): pass class A: def f(self, x) -> None: pass [out] def f(x) -> None: ... def g(x, y: str): ... class A: def f(self, x) -> None: ... [case testExplicitAnyArg] from typing import Any def f(x: Any): pass def g(x, y: Any) -> str: pass def h(x: Any) -> str: pass [out] from typing import Any def f(x: Any): ... def g(x, y: Any) -> str: ... def h(x: Any) -> str: ... -- Same as above [case testExplicitAnyArg_inspect] from typing import Any def f(x: Any): pass def g(x, y: Any) -> str: pass def h(x: Any) -> str: pass [out] from typing import Any def f(x: Any): ... def g(x, y: Any) -> str: ... def h(x: Any) -> str: ... [case testExplicitReturnedAny] from typing import Any def f(x: str) -> Any: pass def g(x, y: str) -> Any: pass def h(x) -> Any: pass [out] from typing import Any def f(x: str) -> Any: ... def g(x, y: str) -> Any: ... def h(x) -> Any: ... [case testPlacementOfDecorators] class A: @property def x(self): self.y = 'y' return 'x' class B: @property def x(self): return 'x' @x.setter def x(self, value): self.y = 'y' @x.deleter def x(self): del self.y [out] class A: y: str @property def x(self): ... class B: @property def x(self): ... y: str @x.setter def x(self, value) -> None: ... @x.deleter def x(self) -> None: ... [case testMisplacedTypeComment] def f(): x = 0 # type: str y = '' [out] def f() -> None: ... [case testConditionalImportAll_semanal] __all__ = ['cookielib'] if object(): from http import cookiejar as cookielib else: import cookielib [out] import cookielib as cookielib __all__ = ['cookielib'] [case testCannotCalculateMRO_semanal] class X: pass class int(int, X): # Cycle pass class A: pass class B(A): pass class C(B): pass class D(A, B): pass # No consistent method resolution order class E(C, D): pass # Ditto [out] class X: ... class int(int, X): ... class A: ... class B(A): ... class C(B): ... class D(A, B): ... class E(C, D): ... [case testUnreachableCode_semanal] MYPY = False class A: pass if MYPY: class C(A): def f(self) -> None: pass else: def f(i): return i class C(A): def g(self) -> None: pass [out] MYPY: bool class A: ... class C(A): def f(self) -> None: ... [case testAbstractPropertyImportAlias] import abc as abc_alias class A: @abc_alias.abstractproperty def x(self): pass [out] import abc as abc_alias class A: @property @abc_alias.abstractmethod def x(self): ... [case testAbstractPropertyFromImportAlias] from abc import abstractproperty as ap class A: @ap def x(self): pass [out] import abc class A: @property @abc.abstractmethod def x(self): ... [case testAbstractProperty1_semanal] import other import abc class A: @abc.abstractproperty def x(self): pass [out] import abc class A(metaclass=abc.ABCMeta): @property @abc.abstractmethod def x(self): ... [case testAbstractProperty2_semanal] import other from abc import abstractproperty class A: @abstractproperty def x(self): pass [out] import abc class A(metaclass=abc.ABCMeta): @property @abc.abstractmethod def x(self): ... [case testAbstractProperty3_semanal] import other from abc import abstractproperty as alias_name class A: @alias_name def x(self): pass [out] import abc class A(metaclass=abc.ABCMeta): @property @abc.abstractmethod def x(self): ... [case testClassWithNameIncomplete] Y = object() def g(): yield 1 x = g() class Incomplete: pass [out] from _typeshed import Incomplete as _Incomplete from collections.abc import Generator Y: _Incomplete def g() -> Generator[_Incomplete]: ... x: _Incomplete class Incomplete: ... [case testExportedNameImported] # modules: main a b from a import C class D(C): pass [file a.py] from b import C [file b.py] class C: pass [out] # main.pyi from a import C class D(C): ... # a.pyi from b import C as C # b.pyi class C: ... [case testVendoredSix] from p1.vendored import six from p1.vendor.six import foobar from p1.packages.six.moves import http_client from .packages.six.moves import queue from p1.vendored.six.moves.http_client import foo from p1.vendored.six.moves.urllib.parse import bar class C(http_client.HTTPMessage): pass class D(six.Iterator): pass [out] import six from six import foobar as foobar from six.moves import http_client, queue as queue from six.moves.http_client import foo as foo from six.moves.urllib.parse import bar as bar class C(http_client.HTTPMessage): ... class D(six.Iterator): ... [case testVendoredPackage] # modules: main p.vendored.requests p.sub.requests from p.vendored.requests import Request from p.sub.requests import Request2 x = Request() y = Request2() [file p/__init__.py] [file p/vendored/__init__.py] [file p/vendored/requests.py] class Request: pass [file p/sub/__init__.py] [file p/sub/requests.py] class Request2: pass [out] # main.pyi from _typeshed import Incomplete x: Incomplete y: Incomplete # p/sub/requests.pyi class Request2: ... [case testTestFiles] # modules: p p.x p.tests p.tests.test_foo [file p/__init__.py] def f(): pass [file p/x.py] def g(): pass [file p/tests/__init__.py] [file p/tests/test_foo.py] def test_thing(): pass [out] # p/__init__.pyi def f() -> None: ... # p/x.pyi def g() -> None: ... [case testTestFiles_import] # modules: p p.x p.tests p.tests.test_foo [file p/__init__.py] def f(): pass [file p/x.py] def g(): pass [file p/tests/__init__.py] [file p/tests/test_foo.py] def test_thing(): pass [out] # p/__init__.pyi def f() -> None: ... # p/x.pyi def g() -> None: ... [case testTestFiles_inspect] # modules: p p.x p.tests p.tests.test_foo [file p/__init__.py] def f(): pass [file p/x.py] def g(): pass [file p/tests/__init__.py] [file p/tests/test_foo.py] def test_thing(): pass [out] # p/__init__.pyi def f(): ... # p/x.pyi def g(): ... [case testVerboseFlag] # Just test that --verbose does not break anything in a basic test case. # flags: --verbose def f(x, y): pass [out] def f(x, y) -> None: ... [case testImportedModuleExits_import] # modules: a b c [file a.py] def g(): pass [file b.py] import sys def f(): pass sys.exit(1) [file c.py] x = 0 [out] # a.pyi def g() -> None: ... # b.pyi def f() -> None: ... # c.pyi x: int [case testImportedModuleHardExits_import] # modules: a b c [file a.py] def g(): pass [file b.py] import os def f(): pass os._exit(1) # Kill process [file c.py] x = 0 [out] # a.pyi def g() -> None: ... # b.pyi def f() -> None: ... # c.pyi x: int [case testImportedModuleHardExits2_import] # modules: p/a p/b p/c [file p/__init__.py] [file p/a.py] def g(): pass [file p/b.py] import os def f(): pass os._exit(1) # Kill process [file p/c.py] x = 0 [out] # p/a.pyi def g() -> None: ... # p/b.pyi def f() -> None: ... # p/c.pyi x: int [case testImportedModuleHardExits3_import] # modules: p p/a [file p/__init__.py] import os def f(): pass os._exit(1) # Kill process [file p/a.py] def g(): pass [out] # p/__init__.pyi def f() -> None: ... # p/a.pyi def g() -> None: ... [case testImportedModuleHardExits4_import] # flags: -p p # modules: p p/a [file p/__init__.py] def ff(): pass [file p/a.py] import os def gg(): pass os._exit(1) # Kill process [out] # p/__init__.pyi def ff() -> None: ... # p/a.pyi def gg() -> None: ... [case testExportInternalImportsByDefault] # modules: p p/a [file p/__init__.py] from p.a import A, f from m import C a: A c: C f() [file p/a.py] class A: pass def f(): pass [file m.py] class C: pass [out] # p/__init__.pyi from m import C from p.a import A as A, f as f a: A c: C # p/a.pyi class A: ... def f() -> None: ... [case testNoExportOfInternalImportsIfAll_import] # modules: p p/a [file p/__init__.py] from p.a import A __all__ = ['a'] a = None # type: A b = 0 # type: int [file p/a.py] class A: pass [out] # p/__init__.pyi from p.a import A __all__ = ['a'] a: A # p/a.pyi class A: ... [case testExportInternalImportsByDefaultFromUnderscorePackage] # modules: p [file p.py] from _p import A from _m import B from _pm import C a: A b: B c: C [file _p.py] class A: pass [file _m.py] class B: pass [file _pm.py] class C: pass [out] from _m import B from _p import A as A from _pm import C a: A b: B c: C [case testDisableExportOfInternalImports] # flags: --export-less # modules: p p/a [file p/__init__.py] from p.a import A, B from m import C a: A c: C [file p/a.py] class A: pass class B: pass [file m.py] class C: pass [out] # p/__init__.pyi from m import C from p.a import A, B as B a: A c: C # p/a.pyi class A: ... class B: ... [case testExportInternalImportsByDefaultUsingRelativeImport] # modules: p.a [file p/__init__.py] [file p/a.py] from .b import f f() [file p/b.py] def f(): pass [out] from .b import f as f [case testExportInternalImportsByDefaultSkipPrivate] # modules: p.a [file p/__init__.py] [file p/a.py] from .b import _f, _g as _g, _i from p.b import _h _f() _h() [file p/b.py] def _f(): pass def _g(): pass def _h(): pass def _i(): pass x = 0 [out] [case testExportInternalImportsByDefaultIncludePrivate] # flags: --include-private # modules: p.a [file p/__init__.py] [file p/a.py] from .b import _f _f() [file p/b.py] def _f(): pass [out] from .b import _f as _f [case testHideDunderModuleAttributes] from m import ( __about__, __author__, __copyright__, __email__, __license__, __summary__, __title__, __uri__, __version__ ) class A: __uri__ = 0 [file m.py] __about__ = '' __author__ = '' __copyright__ = '' __email__ = '' __license__ = '' __summary__ = '' __title__ = '' __uri__ = '' __version__ = '' [out] from m import __version__ as __version__ class A: ... [case testHideDunderModuleAttributesWithAll_import] from m import ( __about__, __author__, __copyright__, __email__, __license__, __summary__, __title__, __uri__, __version__ ) __all__ = ['__about__', '__author__', '__version__'] [file m.py] __about__ = '' __author__ = '' __copyright__ = '' __email__ = '' __license__ = '' __summary__ = '' __title__ = '' __uri__ = '' __version__ = '' [out] from m import __about__ as __about__, __author__ as __author__, __version__ as __version__ __all__ = ['__about__', '__author__', '__version__'] [case testAttrsClass_semanal] import attrs @attrs.define class C: x: int = attrs.field() [out] import attrs @attrs.define class C: x: int = attrs.field() [case testNamedTupleInClass] from collections import namedtuple class C: N = namedtuple('N', ['x', 'y']) [out] from _typeshed import Incomplete from typing import NamedTuple class C: class N(NamedTuple): x: Incomplete y: Incomplete [case testImports_directImportsWithAlias] import p.a as a import p.b as b x: a.X y: b.Y [out] import p.a as a import p.b as b x: a.X y: b.Y [case testImports_directImportsMixed] import p.a import p.a as a import p.b as b x: a.X y: b.Y z: p.a.X [out] import p.a import p.a as a import p.b as b x: a.X y: b.Y z: p.a.X [case testImport_overwrites_directWithAlias_from] import p.a as a from p import a x: a.X [out] from p import a x: a.X [case testImport_overwrites_directWithAlias_fromWithAlias] import p.a as a from p import b as a x: a.X [out] from p import b as a x: a.X [case testImports_overwrites_direct_from] import a from p import a x: a.X [out] from p import a x: a.X [case testImports_overwrites_direct_fromWithAlias] import a from p import b as a x: a.X [out] from p import b as a x: a.X [case testImports_overwrites_from_directWithAlias] from p import a import p.a as a x: a.X [out] import p.a as a x: a.X [case testImports_overwrites_fromWithAlias_direct] import a from p import b as a x: a.X [out] from p import b as a x: a.X [case testImports_direct] import p.a import pp x: a.X y: p.a.Y [out] import p.a x: a.X y: p.a.Y [case testNestedImports] import p import p.m1 import p.m2 x: p.X y: p.m1.Y z: p.m2.Z [out] import p import p.m1 import p.m2 x: p.X y: p.m1.Y z: p.m2.Z [case testNestedImportsAliased] import p as t import p.m1 as pm1 import p.m2 as pm2 x: t.X y: pm1.Y z: pm2.Z [out] import p as t import p.m1 as pm1 import p.m2 as pm2 x: t.X y: pm1.Y z: pm2.Z [case testNestedFromImports] from p import m1 from p.m1 import sm1 from p.m2 import sm2 x: m1.X y: sm1.Y z: sm2.Z [out] from p import m1 from p.m1 import sm1 from p.m2 import sm2 x: m1.X y: sm1.Y z: sm2.Z [case testOverload_fromTypingImport] from typing import Tuple, Union, overload class A: @overload def f(self, x: int, y: int) -> int: ... @overload def f(self, x: Tuple[int, int]) -> int: ... def f(self, *args: Union[int, Tuple[int, int]]) -> int: pass @overload def f(x: int, y: int) -> int: ... @overload def f(x: Tuple[int, int]) -> int: ... def f(*args: Union[int, Tuple[int, int]]) -> int: pass [out] from typing import overload class A: @overload def f(self, x: int, y: int) -> int: ... @overload def f(self, x: tuple[int, int]) -> int: ... @overload def f(x: int, y: int) -> int: ... @overload def f(x: tuple[int, int]) -> int: ... [case testOverload_fromTypingExtensionsImport] from typing import Tuple, Union from typing_extensions import overload class A: @overload def f(self, x: int, y: int) -> int: ... @overload def f(self, x: Tuple[int, int]) -> int: ... def f(self, *args: Union[int, Tuple[int, int]]) -> int: pass @overload def f(x: int, y: int) -> int: ... @overload def f(x: Tuple[int, int]) -> int: ... def f(*args: Union[int, Tuple[int, int]]) -> int: pass [out] from typing_extensions import overload class A: @overload def f(self, x: int, y: int) -> int: ... @overload def f(self, x: tuple[int, int]) -> int: ... @overload def f(x: int, y: int) -> int: ... @overload def f(x: tuple[int, int]) -> int: ... [case testOverload_importTyping] import typing import typing_extensions class A: @typing.overload def f(self, x: int, y: int) -> int: ... @typing.overload def f(self, x: typing.Tuple[int, int]) -> int: ... def f(self, *args: typing.Union[int, typing.Tuple[int, int]]) -> int: pass @typing.overload @classmethod def g(cls, x: int, y: int) -> int: ... @typing.overload @classmethod def g(cls, x: typing.Tuple[int, int]) -> int: ... @classmethod def g(self, *args: typing.Union[int, typing.Tuple[int, int]]) -> int: pass @typing.overload def f(x: int, y: int) -> int: ... @typing.overload def f(x: typing.Tuple[int, int]) -> int: ... def f(*args: typing.Union[int, typing.Tuple[int, int]]) -> int: pass @typing_extensions.overload def g(x: int, y: int) -> int: ... @typing_extensions.overload def g(x: typing.Tuple[int, int]) -> int: ... def g(*args: typing.Union[int, typing.Tuple[int, int]]) -> int: pass [out] import typing import typing_extensions class A: @typing.overload def f(self, x: int, y: int) -> int: ... @typing.overload def f(self, x: tuple[int, int]) -> int: ... @typing.overload @classmethod def g(cls, x: int, y: int) -> int: ... @typing.overload @classmethod def g(cls, x: tuple[int, int]) -> int: ... @typing.overload def f(x: int, y: int) -> int: ... @typing.overload def f(x: tuple[int, int]) -> int: ... @typing_extensions.overload def g(x: int, y: int) -> int: ... @typing_extensions.overload def g(x: tuple[int, int]) -> int: ... [case testOverload_importTypingAs] import typing as t import typing_extensions as te class A: @t.overload def f(self, x: int, y: int) -> int: ... @t.overload def f(self, x: t.Tuple[int, int]) -> int: ... def f(self, *args: typing.Union[int, t.Tuple[int, int]]) -> int: pass @t.overload @classmethod def g(cls, x: int, y: int) -> int: ... @t.overload @classmethod def g(cls, x: t.Tuple[int, int]) -> int: ... @classmethod def g(self, *args: t.Union[int, t.Tuple[int, int]]) -> int: pass @t.overload def f(x: int, y: int) -> int: ... @t.overload def f(x: t.Tuple[int, int]) -> int: ... def f(*args: t.Union[int, t.Tuple[int, int]]) -> int: pass @te.overload def g(x: int, y: int) -> int: ... @te.overload def g(x: t.Tuple[int, int]) -> int: ... def g(*args: t.Union[int, t.Tuple[int, int]]) -> int: pass [out] import typing as t import typing_extensions as te class A: @t.overload def f(self, x: int, y: int) -> int: ... @t.overload def f(self, x: tuple[int, int]) -> int: ... @t.overload @classmethod def g(cls, x: int, y: int) -> int: ... @t.overload @classmethod def g(cls, x: tuple[int, int]) -> int: ... @t.overload def f(x: int, y: int) -> int: ... @t.overload def f(x: tuple[int, int]) -> int: ... @te.overload def g(x: int, y: int) -> int: ... @te.overload def g(x: tuple[int, int]) -> int: ... [case testOverloadFromImportAlias] from typing import overload as t_overload from typing_extensions import overload as te_overload @t_overload def f(x: int, y: int) -> int: ... @te_overload def g(x: int, y: int) -> int: ... [out] from typing import overload as t_overload from typing_extensions import overload as te_overload @t_overload def f(x: int, y: int) -> int: ... @te_overload def g(x: int, y: int) -> int: ... [case testProtocol_semanal] from typing import Protocol, TypeVar class P(Protocol): def f(self, x: int, y: int) -> str: ... T = TypeVar('T') T2 = TypeVar('T2') class PT(Protocol[T, T2]): def f(self, x: T) -> T2: ... [out] from typing import Protocol, TypeVar class P(Protocol): def f(self, x: int, y: int) -> str: ... T = TypeVar('T') T2 = TypeVar('T2') class PT(Protocol[T, T2]): def f(self, x: T) -> T2: ... [case testProtocolAbstractMethod_semanal] from abc import abstractmethod from typing import Protocol class P(Protocol): @abstractmethod def f(self, x: int, y: int) -> str: ... [out] from abc import abstractmethod from typing import Protocol class P(Protocol): @abstractmethod def f(self, x: int, y: int) -> str: ... [case testNonDefaultKeywordOnlyArgAfterAsterisk] def func(*, non_default_kwarg: bool, default_kwarg: bool = True): ... [out] def func(*, non_default_kwarg: bool, default_kwarg: bool = True): ... [case testNestedGenerator] def f1(): def g(): yield 0 return 0 def f2(): def g(): yield from [0] return 0 [out] def f1(): ... def f2(): ... [case testIncludeDocstrings] # flags: --include-docstrings class A: """class docstring a multiline 😊 docstring""" def func(): """func docstring don't forget to indent""" ... def nodoc(): ... class B: def quoteA(): '''func docstring with quotes"""\\n and an end quote\'''' ... def quoteB(): '''func docstring with quotes""" \'\'\' and an end quote\\"''' ... def quoteC(): """func docstring with end quote\\\"""" ... def quoteD(): r'''raw with quotes\"''' ... [out] class A: """class docstring a multiline 😊 docstring""" def func() -> None: """func docstring don't forget to indent""" def nodoc() -> None: ... class B: def quoteA() -> None: '''func docstring with quotes"""\\n and an end quote\'''' def quoteB() -> None: '''func docstring with quotes""" \'\'\' and an end quote\\"''' def quoteC() -> None: '''func docstring with end quote\\"''' def quoteD() -> None: '''raw with quotes\\"''' [case testIgnoreDocstrings] class A: """class docstring a multiline docstring""" def func(): """func docstring don't forget to indent""" def nodoc(): ... class B: def func(): """func docstring""" ... def nodoc(): ... [out] class A: def func() -> None: ... def nodoc() -> None: ... class B: def func() -> None: ... def nodoc() -> None: ... [case testKnownMagicMethodsReturnTypes] class Some: def __len__(self): ... def __length_hint__(self): ... def __init__(self): ... def __del__(self): ... def __bool__(self): ... def __bytes__(self): ... def __format__(self, spec): ... def __contains__(self, obj): ... def __complex__(self): ... def __int__(self): ... def __float__(self): ... def __index__(self): ... [out] class Some: def __len__(self) -> int: ... def __length_hint__(self) -> int: ... def __init__(self) -> None: ... def __del__(self) -> None: ... def __bool__(self) -> bool: ... def __bytes__(self) -> bytes: ... def __format__(self, spec) -> str: ... def __contains__(self, obj) -> bool: ... def __complex__(self) -> complex: ... def __int__(self) -> int: ... def __float__(self) -> float: ... def __index__(self) -> int: ... -- Same as above [case testKnownMagicMethodsReturnTypes_inspect] class Some: def __len__(self): ... def __length_hint__(self): ... def __init__(self): ... def __del__(self): ... def __bool__(self): ... def __bytes__(self): ... def __format__(self, spec): ... def __contains__(self, obj): ... def __complex__(self): ... def __int__(self): ... def __float__(self): ... def __index__(self): ... [out] class Some: def __len__(self) -> int: ... def __length_hint__(self) -> int: ... def __init__(self) -> None: ... def __del__(self) -> None: ... def __bool__(self) -> bool: ... def __bytes__(self) -> bytes: ... def __format__(self, spec) -> str: ... def __contains__(self, obj) -> bool: ... def __complex__(self) -> complex: ... def __int__(self) -> int: ... def __float__(self) -> float: ... def __index__(self) -> int: ... [case testKnownMagicMethodsArgTypes] class MismatchNames: def __exit__(self, tp, val, tb): ... class MatchNames: def __exit__(self, type, value, traceback): ... [out] import types class MismatchNames: def __exit__(self, tp: type[BaseException] | None, val: BaseException | None, tb: types.TracebackType | None) -> None: ... class MatchNames: def __exit__(self, type: type[BaseException] | None, value: BaseException | None, traceback: types.TracebackType | None) -> None: ... -- Same as above (but can generate import statements) [case testKnownMagicMethodsArgTypes_inspect] class MismatchNames: def __exit__(self, tp, val, tb): ... class MatchNames: def __exit__(self, type, value, traceback): ... [out] import types class MismatchNames: def __exit__(self, tp: type[BaseException] | None, val: BaseException | None, tb: types.TracebackType | None): ... class MatchNames: def __exit__(self, type: type[BaseException] | None, value: BaseException | None, traceback: types.TracebackType | None): ... [case testTypeVarPEP604Bound] from typing import TypeVar T = TypeVar("T", bound=str | None) [out] from typing import TypeVar T = TypeVar('T', bound=str | None) [case testPEP604UnionType] a: str | int def f(x: str | None) -> None: ... [out] a: str | int def f(x: str | None) -> None: ... [case testTypeddict] import typing, x X = typing.TypedDict('X', {'a': int, 'b': str}) Y = typing.TypedDict('X', {'a': int, 'b': str}, total=False) [out] from typing_extensions import TypedDict class X(TypedDict): a: int b: str class Y(TypedDict, total=False): a: int b: str [case testTypeddictClassWithKeyword] from typing import TypedDict class MyDict(TypedDict, total=False): foo: str bar: int [out] from typing import TypedDict class MyDict(TypedDict, total=False): foo: str bar: int [case testTypeddictKeywordSyntax] from typing import TypedDict X = TypedDict('X', a=int, b=str) Y = TypedDict('X', a=int, b=str, total=False) [out] from typing_extensions import TypedDict class X(TypedDict): a: int b: str class Y(TypedDict, total=False): a: int b: str [case testTypeddictWithNonIdentifierOrKeywordKeys] from typing import TypedDict X = TypedDict('X', {'a-b': int, 'c': str}) Y = TypedDict('X', {'a-b': int, 'c': str}, total=False) Z = TypedDict('X', {'a': int, 'in': str}) [out] from typing import TypedDict X = TypedDict('X', {'a-b': int, 'c': str}) Y = TypedDict('X', {'a-b': int, 'c': str}, total=False) Z = TypedDict('X', {'a': int, 'in': str}) [case testEmptyTypeddict] import typing X = typing.TypedDict('X', {}) Y = typing.TypedDict('Y', {}, total=False) Z = typing.TypedDict('Z') W = typing.TypedDict('W', total=False) [out] from typing_extensions import TypedDict class X(TypedDict): ... class Y(TypedDict, total=False): ... class Z(TypedDict): ... class W(TypedDict, total=False): ... [case testTypeddictAliased] from typing import TypedDict as t_TypedDict from typing_extensions import TypedDict as te_TypedDict def f(): ... X = t_TypedDict('X', {'a': int, 'b': str}) Y = te_TypedDict('Y', {'a': int, 'b': str}) def g(): ... [out] from typing_extensions import TypedDict def f() -> None: ... class X(TypedDict): a: int b: str class Y(TypedDict): a: int b: str def g() -> None: ... [case testTypeddictFromImportAlias] import typing as t import typing_extensions as te X = t.TypedDict('X', {'a': int, 'b': str}) Y = te.TypedDict('Y', {'a': int, 'b': str}) [out] from typing_extensions import TypedDict class X(TypedDict): a: int b: str class Y(TypedDict): a: int b: str [case testNotTypeddict] from x import TypedDict import y X = TypedDict('X', {'a': int, 'b': str}) Y = y.TypedDict('Y', {'a': int, 'b': str}) [out] from _typeshed import Incomplete X: Incomplete Y: Incomplete [case testTypeddictWithWrongAttributesType] from typing import TypedDict R = TypedDict("R", {"a": int, **{"b": str, "c": bytes}}) S = TypedDict("S", [("b", str), ("c", bytes)]) T = TypedDict("T", {"a": int}, b=str, total=False) U = TypedDict("U", {"a": int}, totale=False) V = TypedDict("V", {"a": int}, {"b": str}) W = TypedDict("W", **{"a": int, "b": str}) [out] from _typeshed import Incomplete R: Incomplete S: Incomplete T: Incomplete U: Incomplete V: Incomplete W: Incomplete [case testUseTypingName] import collections import typing from typing import NamedTuple, TypedDict class Incomplete: ... class Generator: ... class NamedTuple: ... class TypedDict: ... nt = collections.namedtuple("nt", "a b") NT = typing.NamedTuple("NT", [("a", int), ("b", str)]) NT1 = typing.NamedTuple("NT1", [("a", int)] + [("b", str)]) NT2 = typing.NamedTuple("NT2", [(xx, int), ("b", str)]) NT3 = typing.NamedTuple(xx, [("a", int), ("b", str)]) TD = typing.TypedDict("TD", {"a": int, "b": str}) TD1 = typing.TypedDict("TD1", {"a": int, "b": str}, totale=False) TD2 = typing.TypedDict("TD2", {xx: int, "b": str}) TD3 = typing.TypedDict(xx, {"a": int, "b": str}) def gen(): y = yield x return z def gen2(): y = yield from x return z class X(unknown_call("X", "a b")): ... class Y(collections.namedtuple("Y", xx)): ... [out] from _typeshed import Incomplete as _Incomplete from collections.abc import Generator as _Generator from typing import NamedTuple as _NamedTuple from typing_extensions import TypedDict as _TypedDict class Incomplete: ... class Generator: ... class NamedTuple: ... class TypedDict: ... class nt(_NamedTuple): a: _Incomplete b: _Incomplete class NT(_NamedTuple): a: int b: str NT1: _Incomplete NT2: _Incomplete NT3: _Incomplete class TD(_TypedDict): a: int b: str TD1: _Incomplete TD2: _Incomplete TD3: _Incomplete def gen() -> _Generator[_Incomplete, _Incomplete, _Incomplete]: ... def gen2() -> _Generator[_Incomplete, _Incomplete, _Incomplete]: ... class X(_Incomplete): ... class Y(_Incomplete): ... [case testIgnoreLongDefaults] def f(x='abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz\ abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz\ abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz\ abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz'): ... def g(x=b'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz\ abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz\ abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz\ abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz'): ... def h(x=123456789012345678901234567890123456789012345678901234567890\ 123456789012345678901234567890123456789012345678901234567890\ 123456789012345678901234567890123456789012345678901234567890\ 123456789012345678901234567890123456789012345678901234567890): ... [out] def f(x: str = ...) -> None: ... def g(x: bytes = ...) -> None: ... def h(x: int = ...) -> None: ... [case testDefaultsOfBuiltinContainers] def f(x=(), y=(1,), z=(1, 2)): ... def g(x=[], y=[1, 2]): ... def h(x={}, y={1: 2, 3: 4}): ... def i(x={1, 2, 3}): ... def j(x=[(1,"a"), (2,"b")]): ... [out] def f(x=(), y=(1,), z=(1, 2)) -> None: ... def g(x=[], y=[1, 2]) -> None: ... def h(x={}, y={1: 2, 3: 4}) -> None: ... def i(x={1, 2, 3}) -> None: ... def j(x=[(1, 'a'), (2, 'b')]) -> None: ... [case testDefaultsOfBuiltinContainersWithNonTrivialContent] def f(x=(1, u.v), y=(k(),), z=(w,)): ... def g(x=[1, u.v], y=[k()], z=[w]): ... def h(x={1: u.v}, y={k(): 2}, z={m: m}, w={**n}): ... def i(x={u.v, 2}, y={3, k()}, z={w}): ... [out] def f(x=..., y=..., z=...) -> None: ... def g(x=..., y=..., z=...) -> None: ... def h(x=..., y=..., z=..., w=...) -> None: ... def i(x=..., y=..., z=...) -> None: ... [case testDataclass] import dataclasses import dataclasses as dcs from dataclasses import dataclass, field, Field, InitVar, KW_ONLY from dataclasses import dataclass as dc from datetime import datetime from typing import ClassVar @dataclasses.dataclass class X: a: int b: str = "hello" c: ClassVar d: ClassVar = 200 f: list[int] = field(init=False, default_factory=list) g: int = field(default=2, kw_only=True) _: KW_ONLY h: int = 1 i: InitVar[str] j: InitVar = 100 # Lambda not supported yet -> marked as Incomplete instead k: str = Field( default_factory=lambda: datetime.utcnow().isoformat(" ", timespec="seconds") ) non_field = None @dcs.dataclass class Y: ... @dataclass class Z: ... @dc class W: ... @dataclass(init=False, repr=False) class V: ... [out] import dataclasses import dataclasses as dcs from _typeshed import Incomplete from dataclasses import Field, InitVar, KW_ONLY, dataclass, dataclass as dc, field from typing import ClassVar @dataclasses.dataclass class X: a: int b: str = ... c: ClassVar d: ClassVar = ... f: list[int] = field(init=False, default_factory=list) g: int = field(default=2, kw_only=True) _: KW_ONLY h: int = ... i: InitVar[str] j: InitVar = ... k: str = Field(default_factory=Incomplete) non_field = ... @dcs.dataclass class Y: ... @dataclass class Z: ... @dc class W: ... @dataclass(init=False, repr=False) class V: ... [case testDataclass_semanal] from dataclasses import Field, InitVar, dataclass, field from typing import ClassVar from datetime import datetime @dataclass class X: a: int b: InitVar[str] c: str = "hello" d: ClassVar e: ClassVar = 200 f: list[int] = field(init=False, default_factory=list) g: int = field(default=2, kw_only=True) h: int = 1 i: InitVar = 100 j: list[int] = field(default_factory=list) # Lambda not supported yet -> marked as Incomplete instead k: str = Field( default_factory=lambda: datetime.utcnow().isoformat(" ", timespec="seconds") ) non_field = None @dataclass(init=False, repr=False, frozen=True) class Y: ... [out] from _typeshed import Incomplete from dataclasses import Field, InitVar, dataclass, field from typing import ClassVar @dataclass class X: a: int b: InitVar[str] c: str = ... d: ClassVar e: ClassVar = ... f: list[int] = field(init=False, default_factory=list) g: int = field(default=2, kw_only=True) h: int = ... i: InitVar = ... j: list[int] = field(default_factory=list) k: str = Field(default_factory=Incomplete) non_field = ... @dataclass(init=False, repr=False, frozen=True) class Y: ... [case testDataclassWithKwOnlyField_semanal] # flags: --python-version=3.10 from dataclasses import dataclass, field, InitVar, KW_ONLY from typing import ClassVar @dataclass class X: a: int b: str = "hello" c: ClassVar d: ClassVar = 200 f: list[int] = field(init=False, default_factory=list) g: int = field(default=2, kw_only=True) _: KW_ONLY h: int = 1 i: InitVar[str] j: InitVar = 100 non_field = None @dataclass(init=False, repr=False, frozen=True) class Y: ... [out] from dataclasses import InitVar, KW_ONLY, dataclass, field from typing import ClassVar @dataclass class X: a: int b: str = ... c: ClassVar d: ClassVar = ... f: list[int] = field(init=False, default_factory=list) g: int = field(default=2, kw_only=True) _: KW_ONLY h: int = ... i: InitVar[str] j: InitVar = ... non_field = ... @dataclass(init=False, repr=False, frozen=True) class Y: ... [case testDataclassWithExplicitGeneratedMethodsOverrides_semanal] from dataclasses import dataclass @dataclass class X: a: int def __init__(self, a: int, b: str = ...) -> None: ... def __post_init__(self) -> None: ... [out] from dataclasses import dataclass @dataclass class X: a: int def __init__(self, a: int, b: str = ...) -> None: ... def __post_init__(self) -> None: ... [case testDataclassInheritsFromAny_semanal] from dataclasses import dataclass import missing @dataclass class X(missing.Base): a: int @dataclass class Y(missing.Base): generated_args: str generated_args_: str generated_kwargs: float generated_kwargs_: float [out] import missing from dataclasses import dataclass @dataclass class X(missing.Base): a: int @dataclass class Y(missing.Base): generated_args: str generated_args_: str generated_kwargs: float generated_kwargs_: float [case testDataclassAliasPrinterVariations_semanal] from dataclasses import dataclass, field @dataclass class X: a: int = field(default=-1) b: set[int] = field(default={0}) c: list[int] = field(default=[x for x in range(5)]) d: dict[int, int] = field(default={x: x for x in range(5)}) e: tuple[int, int] = field(default=(1, 2, 3)[1:]) f: tuple[int, int] = field(default=(1, 2, 3)[:2]) g: tuple[int, int] = field(default=(1, 2, 3)[::2]) h: tuple[int] = field(default=(1, 2, 3)[1::2]) [out] from _typeshed import Incomplete from dataclasses import dataclass, field @dataclass class X: a: int = field(default=-1) b: set[int] = field(default={0}) c: list[int] = field(default=Incomplete) d: dict[int, int] = field(default=Incomplete) e: tuple[int, int] = field(default=(1, 2, 3)[1:]) f: tuple[int, int] = field(default=(1, 2, 3)[:2]) g: tuple[int, int] = field(default=(1, 2, 3)[::2]) h: tuple[int] = field(default=(1, 2, 3)[1::2]) [case testDataclassTransform] # dataclass_transform detection only works with semantic analysis. # Test stubgen doesn't break too badly without it. from typing_extensions import dataclass_transform @typing_extensions.dataclass_transform(kw_only_default=True) def create_model(cls): return cls @create_model class X: a: int b: str = "hello" @typing_extensions.dataclass_transform(kw_only_default=True) class ModelBase: ... class Y(ModelBase): a: int b: str = "hello" @typing_extensions.dataclass_transform(kw_only_default=True) class DCMeta(type): ... class Z(metaclass=DCMeta): a: int b: str = "hello" [out] @typing_extensions.dataclass_transform(kw_only_default=True) def create_model(cls): ... class X: a: int b: str @typing_extensions.dataclass_transform(kw_only_default=True) class ModelBase: ... class Y(ModelBase): a: int b: str @typing_extensions.dataclass_transform(kw_only_default=True) class DCMeta(type): ... class Z(metaclass=DCMeta): a: int b: str [case testDataclassTransformDecorator_semanal] import typing_extensions from dataclasses import field @typing_extensions.dataclass_transform(kw_only_default=True) def create_model(cls): return cls @create_model class X: a: int b: str = "hello" c: bool = field(default=True) [out] import typing_extensions from dataclasses import field @typing_extensions.dataclass_transform(kw_only_default=True) def create_model(cls): ... @create_model class X: a: int b: str = ... c: bool = field(default=True) [case testDataclassTransformClass_semanal] from dataclasses import field from typing_extensions import dataclass_transform @dataclass_transform(kw_only_default=True) class ModelBase: ... class X(ModelBase): a: int b: str = "hello" c: bool = field(default=True) [out] from dataclasses import field from typing_extensions import dataclass_transform @dataclass_transform(kw_only_default=True) class ModelBase: ... class X(ModelBase): a: int b: str = ... c: bool = field(default=True) [case testDataclassTransformMetaclass_semanal] from dataclasses import field from typing import Any from typing_extensions import dataclass_transform def custom_field(*, default: bool, kw_only: bool) -> Any: ... @dataclass_transform(kw_only_default=True, field_specifiers=(custom_field,)) class DCMeta(type): ... class X(metaclass=DCMeta): a: int b: str = "hello" c: bool = field(default=True) # should be ignored, not field_specifier here class Y(X): d: str = custom_field(default="Hello") [out] from typing import Any from typing_extensions import dataclass_transform def custom_field(*, default: bool, kw_only: bool) -> Any: ... @dataclass_transform(kw_only_default=True, field_specifiers=(custom_field,)) class DCMeta(type): ... class X(metaclass=DCMeta): a: int b: str = ... c: bool = ... class Y(X): d: str = custom_field(default='Hello') [case testAlwaysUsePEP604Union] import typing import typing as t from typing import Optional, Union, Optional as O, Union as U import x union = Union[int, str] bad_union = Union[int] nested_union = Optional[Union[int, str]] not_union = x.Union[int, str] u = U[int, str] o = O[int] def f1(a: Union["int", Optional[tuple[int, t.Optional[int]]]]) -> int: ... def f2(a: typing.Union[int | x.Union[int, int], O[float]]) -> int: ... [out] import x from _typeshed import Incomplete union = int | str bad_union = int nested_union = int | str | None not_union: Incomplete u = int | str o = int | None def f1(a: int | tuple[int, int | None] | None) -> int: ... def f2(a: int | x.Union[int, int] | float | None) -> int: ... [case testTypingBuiltinReplacements] import typing import typing as t from typing import Tuple import typing_extensions import typing_extensions as te from typing_extensions import List, Type # builtins are not builtins tuple = int [list,] = float dict, set, frozenset = str, float, int x: Tuple[t.Text, t.FrozenSet[typing.Type[float]]] y: typing.List[int] z: t.Dict[str, float] v: typing.Set[int] w: List[typing_extensions.Dict[te.FrozenSet[Type[int]], te.Tuple[te.Set[te.Text], ...]]] x_alias = Tuple[str, ...] y_alias = typing.List[int] z_alias = t.Dict[str, float] v_alias = typing.Set[int] w_alias = List[typing_extensions.Dict[str, te.Tuple[int, ...]]] [out] from _typeshed import Incomplete from builtins import dict as _dict, frozenset as _frozenset, list as _list, set as _set, tuple as _tuple tuple = int list: Incomplete dict: Incomplete set: Incomplete frozenset: Incomplete x: _tuple[str, _frozenset[type[float]]] y: _list[int] z: _dict[str, float] v: _set[int] w: _list[_dict[_frozenset[type[int]], _tuple[_set[str], ...]]] x_alias = _tuple[str, ...] y_alias = _list[int] z_alias = _dict[str, float] v_alias = _set[int] w_alias = _list[_dict[str, _tuple[int, ...]]] [case testHandlingNameCollisions] # flags: --include-private from typing import Tuple tuple = int _tuple = range __tuple = map x: Tuple[int, str] [out] from builtins import tuple as ___tuple tuple = int _tuple = range __tuple = map x: ___tuple[int, str] [case testPEP570PosOnlyParams] def f(x=0, /): ... def f1(x: int, /): ... def f2(x: int, y: float = 1, /): ... def f3(x: int, /, y: float): ... def f4(x: int, /, y: float = 1): ... def f5(x: int, /, *, y: float): ... def f6(x: int = 0, /, *, y: float): ... def f7(x: int, /, *, y: float = 1): ... def f8(x: int = 0, /, *, y: float = 1): ... [out] def f(x: int = 0, /) -> None: ... def f1(x: int, /): ... def f2(x: int, y: float = 1, /): ... def f3(x: int, /, y: float): ... def f4(x: int, /, y: float = 1): ... def f5(x: int, /, *, y: float): ... def f6(x: int = 0, /, *, y: float): ... def f7(x: int, /, *, y: float = 1): ... def f8(x: int = 0, /, *, y: float = 1): ... [case testPreserveEmptyTuple] ann: tuple[()] alias = tuple[()] def f(x: tuple[()]): ... class C(tuple[()]): ... [out] ann: tuple[()] alias = tuple[()] def f(x: tuple[()]): ... class C(tuple[()]): ... [case testPreserveEnumValue_semanal] from enum import Enum class Foo(Enum): A = 1 B = 2 C = 3 class Bar(Enum): A = object() B = "a" + "b" [out] from enum import Enum class Foo(Enum): A = 1 B = 2 C = 3 class Bar(Enum): A = ... B = ... [case testGracefullyHandleInvalidOptionalUsage] from typing import Optional x: Optional # invalid y: Optional[int] # valid z: Optional[int, str] # invalid w: Optional[int | str] # valid r: Optional[type[int | str]] X = Optional Y = Optional[int] Z = Optional[int, str] W = Optional[int | str] R = Optional[type[int | str]] [out] from _typeshed import Incomplete from typing import Optional x: Incomplete y: int | None z: Incomplete w: int | str | None r: type[int | str] | None X = Optional Y = int | None Z = Incomplete W = int | str | None R = type[int | str] | None [case testClassInheritanceWithKeywordsConstants] class Test(Whatever, a=1, b='b', c=True, d=1.5, e=None, f=1j, g=b'123'): ... [out] class Test(Whatever, a=1, b='b', c=True, d=1.5, e=None, f=1j, g=b'123'): ... [case testClassInheritanceWithKeywordsDynamic] class Test(Whatever, keyword=SomeName * 2, attr=SomeName.attr): ... [out] class Test(Whatever, keyword=SomeName * 2, attr=SomeName.attr): ... [case testPEP695GenericClass] # flags: --python-version=3.12 class C[T]: ... class C1[T1](int): ... class C2[T2: int]: ... class C3[T3: str | bytes]: ... class C4[T4: (str, bytes)]: ... class Outer: class Inner[T]: ... [out] class C[T]: ... class C1[T1](int): ... class C2[T2: int]: ... class C3[T3: str | bytes]: ... class C4[T4: (str, bytes)]: ... class Outer: class Inner[T]: ... [case testPEP695GenericFunction] # flags: --python-version=3.12 def f1[T1](): ... def f2[T2: int](): ... def f3[T3: str | bytes](): ... def f4[T4: (str, bytes)](): ... class C: def m[T](self, x: T) -> T: ... [out] def f1[T1]() -> None: ... def f2[T2: int]() -> None: ... def f3[T3: str | bytes]() -> None: ... def f4[T4: (str, bytes)]() -> None: ... class C: def m[T](self, x: T) -> T: ... [case testPEP695TypeAlias] # flags: --python-version=3.12 type Alias = int | str type Alias1[T1] = list[T1] | set[T1] type Alias2[T2: int] = list[T2] | set[T2] type Alias3[T3: str | bytes] = list[T3] | set[T3] type Alias4[T4: (str, bytes)] = list[T4] | set[T4] class C: type IndentedAlias[T] = list[T] [out] type Alias = int | str type Alias1[T1] = list[T1] | set[T1] type Alias2[T2: int] = list[T2] | set[T2] type Alias3[T3: str | bytes] = list[T3] | set[T3] type Alias4[T4: (str, bytes)] = list[T4] | set[T4] class C: type IndentedAlias[T] = list[T] [case testPEP695Syntax_semanal] # flags: --python-version=3.12 class C[T]: ... def f[S](): ... type A[R] = list[R] [out] class C[T]: ... def f[S]() -> None: ... type A[R] = list[R] [case testPEP696Syntax] # flags: --python-version=3.13 type Alias1[T1 = int] = list[T1] | set[T1] type Alias2[T2: int | float = int] = list[T2] | set[T2] class C3[T3 = int]: ... class C4[T4: int | float = int](list[T4]): ... def f5[T5 = int](): ... [out] type Alias1[T1 = int] = list[T1] | set[T1] type Alias2[T2: int | float = int] = list[T2] | set[T2] class C3[T3 = int]: ... class C4[T4: int | float = int](list[T4]): ... def f5[T5 = int]() -> None: ... [case testIgnoreMypyGeneratedMethods_semanal] # flags: --include-private --python-version=3.13 from typing_extensions import dataclass_transform @dataclass_transform() class DCMeta(type): ... class DC(metaclass=DCMeta): x: str [out] from typing_extensions import dataclass_transform @dataclass_transform() class DCMeta(type): ... class DC(metaclass=DCMeta): x: str [case testIncompleteReturn] from _typeshed import Incomplete def polar(*args, **kwargs) -> Incomplete: ... [out] from _typeshed import Incomplete def polar(*args, **kwargs) -> Incomplete: ... ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-data/unit/typexport-basic.test0000644000175100017510000006332515112307767021173 0ustar00runnerrunner-- Test cases for exporting node types from the type checker. -- -- Each test case consists of at least two sections. -- The first section contains [case NAME] followed by the input code, -- while the second section contains [out] followed by the output from the type -- checker. -- -- The first line of input code should be a regexp in comment that describes -- the information to dump (prefix with ##). The regexp is matched against -- the following items: -- -- * each name of an expression node -- * each type string of a node (e.g. OpExpr) -- -- Lines starting with "--" in this file will be ignored. -- Expressions -- ----------- [case testConstructorCall] import typing class A: pass class B: pass A() B() [out] CallExpr(4) : A NameExpr(4) : def () -> A CallExpr(5) : B NameExpr(5) : def () -> B [case testLiterals] import typing 5 2.3 'foo' [builtins fixtures/primitives.pyi] [out] IntExpr(2) : Literal[5]? FloatExpr(3) : builtins.float StrExpr(4) : Literal['foo']? [case testNameExpression] a = None # type: A a # node def f(aa: 'A') -> None: b = None # type: B aa # node b # node class A: def g(self) -> None: self # node class B: pass [out] NameExpr(3) : A NameExpr(6) : A NameExpr(7) : B NameExpr(10) : A [case testEllipsis] import typing ... [out] EllipsisExpr(2) : builtins.ellipsis [case testMemberAccess] ## MemberExpr|CallExpr a = None # type: A a.m a.f a.f() class A: m = None # type: A def f(self) -> 'B': pass class B: pass [out] MemberExpr(4) : A MemberExpr(5) : def () -> B CallExpr(6) : B MemberExpr(6) : def () -> B [case testCastExpression] ## CastExpr|[a-z] from typing import Any, cast d = None # type: Any b = None # type: B class A: pass class B(A): pass cast(A, d) cast(A, b) cast(B, b) [out] CastExpr(7) : A NameExpr(7) : Any CastExpr(8) : A NameExpr(8) : B CastExpr(9) : B NameExpr(9) : B [case testAssertTypeExpr] ## AssertTypeExpr|[a-z] from typing import Any, assert_type d = None # type: Any a = None # type: A b = None # type: B class A: pass class B(A): pass assert_type(d, Any) assert_type(a, A) assert_type(b, B) [out] AssertTypeExpr(8) : Any NameExpr(8) : Any AssertTypeExpr(9) : A NameExpr(9) : A AssertTypeExpr(10) : B NameExpr(10) : B [case testArithmeticOps] ## OpExpr import typing a = 1 + 2 1.2 * 3 2.2 - 3 1 / 2 [file builtins.py] class object: def __init__(self) -> None: pass class function: pass class int: def __add__(self, x: int) -> int: pass def __truediv__(self, x: int) -> float: pass class float: def __mul__(self, x: int) -> float: pass def __sub__(self, x: int) -> float: pass class type: pass class str: pass class list: pass class dict: pass [out] OpExpr(3) : builtins.int OpExpr(4) : builtins.float OpExpr(5) : builtins.float OpExpr(6) : builtins.float [case testComparisonOps] ## ComparisonExpr import typing 1 == object() 1 == 2 2 < 3 1 < 2 < 3 8 > 3 4 < 6 > 2 [file builtins.py] class object: def __init__(self) -> None: pass class int: def __eq__(self, x: object) -> bool: pass def __lt__(self, x: int) -> bool: pass def __gt__(self, x: int) -> int: pass class bool: pass class type: pass class function: pass class str: pass class list: pass class dict: pass [out] ComparisonExpr(3) : builtins.bool ComparisonExpr(4) : builtins.bool ComparisonExpr(5) : builtins.bool ComparisonExpr(6) : builtins.bool ComparisonExpr(7) : builtins.int ComparisonExpr(8) : builtins.object [case testBooleanOps] ## OpExpr|UnaryExpr import typing a = 1 a and a a or a not a [builtins fixtures/bool.pyi] [out] OpExpr(4) : builtins.int OpExpr(5) : builtins.int UnaryExpr(6) : builtins.bool [case testBooleanOpsOnBools] ## OpExpr|UnaryExpr import typing a = bool() a and a a or a not a [builtins fixtures/bool.pyi] [out] OpExpr(4) : builtins.bool OpExpr(5) : builtins.bool UnaryExpr(6) : builtins.bool [case testFunctionCall] ## CallExpr from typing import Tuple class A: pass class B: pass def f(a: A, b: B) -> Tuple[A, B]: pass f( A(), B()) [builtins fixtures/tuple-simple.pyi] [out] CallExpr(6) : tuple[A, B] CallExpr(7) : A CallExpr(8) : B -- Statements -- ---------- [case testSimpleAssignment] from typing import Any a = None # type: A b = a # type: Any if b: b = a a = b class A: pass [out] NameExpr(3) : A NameExpr(4) : Any NameExpr(5) : A NameExpr(5) : Any NameExpr(6) : A NameExpr(6) : Any [case testMemberAssignment] from typing import Any class A: a = None # type: A b = None # type: Any def f(self) -> None: self.b = self.a self.a.a = self.b [out] MemberExpr(6) : A MemberExpr(6) : Any NameExpr(6) : A NameExpr(6) : A MemberExpr(7) : A MemberExpr(7) : A MemberExpr(7) : Any NameExpr(7) : A NameExpr(7) : A [case testIf] a = None # type: bool if a: 1 elif not a: 1 [builtins fixtures/bool.pyi] [out] NameExpr(3) : builtins.bool IntExpr(4) : Literal[1]? NameExpr(5) : Literal[False] UnaryExpr(5) : builtins.bool IntExpr(6) : Literal[1]? [case testWhile] a = None # type: bool while a: a [builtins fixtures/bool.pyi] [out] NameExpr(3) : builtins.bool NameExpr(4) : Literal[True] -- Simple type inference -- --------------------- [case testInferSingleType] import typing x = () [builtins fixtures/primitives.pyi] [out] NameExpr(2) : tuple[()] TupleExpr(2) : tuple[()] [case testInferTwoTypes] ## NameExpr import typing (s, i) = 'x', 1 [builtins fixtures/primitives.pyi] [out] NameExpr(3) : builtins.str NameExpr(4) : builtins.int [case testInferSingleLocalVarType] import typing def f() -> None: x = () [builtins fixtures/primitives.pyi] [out] NameExpr(3) : tuple[()] TupleExpr(3) : tuple[()] -- Basic generics -- -------------- [case testImplicitBoundTypeVarsForMethod] ## MemberExpr from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def f(self) -> T: pass class B: pass def g() -> None: a = None # type: A[B] f = a.f [out] MemberExpr(9) : def () -> B [case testImplicitBoundTypeVarsForSelfMethodReference] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def f(self) -> T: return self.f() [out] CallExpr(5) : T`1 MemberExpr(5) : def () -> T`1 NameExpr(5) : A[T`1] [case testGenericFunctionCallWithTypeApp-skip] ## CallExpr|TypeApplication|NameExpr from typing import Any, TypeVar, Tuple T = TypeVar('T') class A: pass f[A](A()) f[Any](A()) def f(a: T) -> Tuple[T, T]: pass [builtins fixtures/tuple.pyi] [out] CallExpr(5) : A CallExpr(5) : Tuple[A, A] NameExpr(5) : def () -> A NameExpr(5) : def (a: A) -> Tuple[A, A] TypeApplication(5) : def (a: A) -> Tuple[A, A] CallExpr(6) : A CallExpr(6) : Tuple[Any, Any] NameExpr(6) : def () -> A NameExpr(6) : def (a: Any) -> Tuple[Any, Any] TypeApplication(6) : def (a: Any) -> Tuple[Any, Any] -- NOTE: Type applications are not supported for generic methods, so the -- following test cases are commented out. --[case testGenericMethodCallWithTypeApp] --## CallExpr|MemberExpr|TypeApplication --from typing import Any, TypeVar, Tuple --T = TypeVar('T') --class A: -- def f(self, a: T) -> Tuple[T, T]: pass --a.f[A](a) --a.f[Any](a) --a = None # type: A --[builtins fixtures/tuple.py] --[out] --CallExpr(2) : Tuple[A, A] --MemberExpr(2) : def (A a) -> Tuple[A, A] --TypeApplication(2) : def (A a) -> Tuple[A, A] --CallExpr(3) : Tuple[Any, Any] --MemberExpr(3) : def (any a) -> Tuple[Any, Any] --TypeApplication(3) : def (any a) -> Tuple[Any, Any] --[case testGenericMethodCallInGenericTypeWithTypeApp] --## CallExpr|MemberExpr|TypeApplication --from typing import Any, TypeVar, Generic, Tuple --T = TypeVar('T') --S = TypeVar('S') --class B: pass --class C: pass --a.f[B](b) --a.f[Any](b) --class A(Generic[T]): -- def f(self, a: S) -> Tuple[T, S]: pass --a = None # type: A[C] --b = None # type: B --[builtins fixtures/tuple.py] --[out] --CallExpr(6) : Tuple[C, B] --MemberExpr(6) : def (B a) -> Tuple[C, B] --TypeApplication(6) : def (B a) -> Tuple[C, B] --CallExpr(7) : Tuple[C, Any] --MemberExpr(7) : def (any a) -> Tuple[C, Any] --TypeApplication(7) : def (any a) -> Tuple[C, Any] [case testGenericTypeVariableInference] from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): def __init__(self, a: T) -> None: pass class B: pass A(A(B())) [out] CallExpr(6) : A[A[B]] CallExpr(6) : A[B] CallExpr(6) : B NameExpr(6) : def (a: A[B]) -> A[A[B]] NameExpr(6) : def (a: B) -> A[B] NameExpr(6) : def () -> B -- Generic inheritance -- ------------------- [case testInheritedMethodReferenceWithGenericInheritance] from typing import TypeVar, Generic T = TypeVar('T') class C: pass class A(Generic[T]): def f(self, a: T) -> None: pass class B(A[C]): def g(self, c: C) -> None: self.f(c) [out] CallExpr(8) : None MemberExpr(8) : def (a: C) NameExpr(8) : C NameExpr(8) : B [case testInheritedMethodReferenceWithGenericSubclass] from typing import TypeVar, Generic S = TypeVar('S') T = TypeVar('T') class C: pass class A(Generic[S, T]): def f(self, a: C) -> None: pass class B(A[C, T], Generic[T]): def g(self, c: C) -> None: self.f(c) [out] CallExpr(9) : None MemberExpr(9) : def (a: C) NameExpr(9) : C NameExpr(9) : B[T`1] [case testExternalReferenceWithGenericInheritance] from typing import TypeVar, Generic T = TypeVar('T') class C: pass class A(Generic[T]): def f(self, a: T) -> None: pass class B(A[C]): pass b = None # type: B c = None # type: C b.f(c) [out] CallExpr(9) : None MemberExpr(9) : def (a: C) NameExpr(9) : B NameExpr(9) : C -- Implicit Any types -- ------------------ [case testDynamicallyTypedFunction] def f(x): y = x + o z = o z o = None # type: object [out] NameExpr(3) : builtins.object NameExpr(3) : Any NameExpr(3) : Any OpExpr(3) : Any NameExpr(4) : builtins.object NameExpr(4) : Any NameExpr(5) : Any [case testDynamicallyTypedMethod] class A: def f(self, x): y = ( o) # Place y and o on separate lines x y o = None # type: object [out] NameExpr(4) : Any NameExpr(5) : builtins.object NameExpr(6) : Any NameExpr(7) : Any [case testDynamicallyTypedConstructor] class A: def __init__(self, x): y = o x y o = None # type: object [out] NameExpr(4) : builtins.object NameExpr(4) : Any NameExpr(5) : Any NameExpr(6) : Any [case testCallInDynamicallyTypedFunction] def f(): g(o) def g(a: object) -> object: pass o = None # type: object [out] CallExpr(3) : Any NameExpr(3) : def (a: builtins.object) -> builtins.object NameExpr(3) : builtins.object [case testExpressionInDynamicallyTypedFn] import typing def f(): x = None x.f() [out] CallExpr(4) : Any MemberExpr(4) : Any NameExpr(4) : Any [case testGenericCall] from typing import TypeVar, Generic T = TypeVar('T') def f() -> None: a1 = A(b) # type: A[B] a2 = A(b) # type: A[object] class A(Generic[T]): def __init__(self, a: T) -> None: pass class B: pass b = None # type: B [out] CallExpr(4) : A[B] NameExpr(4) : def (a: B) -> A[B] NameExpr(4) : B CallExpr(5) : A[builtins.object] NameExpr(5) : def (a: builtins.object) -> A[builtins.object] NameExpr(5) : B [case testGenericCallInDynamicallyTypedFunction] from typing import TypeVar, Generic T = TypeVar('T') def f(): A() class A(Generic[T]): pass [out] CallExpr(4) : Any NameExpr(4) : def [T] () -> A[T`1] [case testGenericCallInDynamicallyTypedFunction2] from typing import TypeVar, Generic T = TypeVar('T') def f(): A(f) class A(Generic[T]): def __init__(self, x: T) -> None: pass [out] CallExpr(4) : Any NameExpr(4) : def [T] (x: T`1) -> A[T`1] NameExpr(4) : def () -> Any [case testGenericCallInDynamicallyTypedFunction3] from typing import TypeVar t = TypeVar('t') def f(): g(None) def g(x: t) -> t: pass [out] CallExpr(4) : Any NameExpr(4) : def [t] (x: t`-1) -> t`-1 -- Generic types and type inference -- -------------------------------- [case testInferenceInArgumentContext] ## CallExpr from typing import TypeVar, Generic T = TypeVar('T') class A(Generic[T]): pass class B: pass class C(B): pass def f(a: 'A[B]') -> None: pass def g() -> 'A[T]': pass def h(a: T) -> 'A[T]': pass b = None # type: B c = None # type: C f(g()) f(h(b)) f(h(c)) [out] CallExpr(14) : None CallExpr(14) : A[B] CallExpr(15) : None CallExpr(15) : A[B] CallExpr(16) : None CallExpr(16) : A[B] [case testInferGenericTypeForLocalVariable] from typing import TypeVar, Generic T = TypeVar('T') def f() -> None: a = A(b) a a2, a3 = A(b), A(c) a2 a3 b = None # type: B c = None # type: C class A(Generic[T]): def __init__(self, x: T) -> None: pass class B: pass class C: pass [out] CallExpr(4) : A[B] NameExpr(4) : def (x: B) -> A[B] NameExpr(4) : A[B] NameExpr(4) : B NameExpr(5) : A[B] CallExpr(6) : A[B] CallExpr(6) : A[C] NameExpr(6) : def (x: B) -> A[B] NameExpr(6) : def (x: C) -> A[C] NameExpr(6) : A[B] NameExpr(6) : A[C] NameExpr(6) : B NameExpr(6) : C NameExpr(7) : A[B] NameExpr(8) : A[C] [case testNestedGenericCalls] from typing import TypeVar, Generic T = TypeVar('T') S = TypeVar('S') def h() -> None: g(f(c)) c = None # type: C class A(Generic[T]): pass class B(Generic[T]): pass class C: pass def f(a: T) -> A[T]: pass def g(a: S) -> B[S]: pass [out] CallExpr(5) : A[C] CallExpr(5) : B[A[C]] NameExpr(5) : C NameExpr(5) : def (a: C) -> A[C] NameExpr(5) : def (a: A[C]) -> B[A[C]] [case testInferListLiterals] from typing import List a = [] # type: List[A] class A: pass [builtins fixtures/list.pyi] [out] ListExpr(2) : builtins.list[A] [case testInferGenericTypeInTypeAnyContext] from typing import Any a = [] # type: Any [builtins fixtures/list.pyi] [out] ListExpr(2) : builtins.list[Any] [case testHigherOrderFunction] from typing import TypeVar, Callable, List t = TypeVar('t') s = TypeVar('s') def map(f: Callable[[t], s], a: List[t]) -> List[s]: pass class A: pass class B: pass def f(a: A) -> B: pass map( f, [A()]) [builtins fixtures/list.pyi] [out] CallExpr(8) : builtins.list[B] NameExpr(8) : def (f: def (A) -> B, a: builtins.list[A]) -> builtins.list[B] NameExpr(9) : def (a: A) -> B CallExpr(10) : A ListExpr(10) : builtins.list[A] NameExpr(10) : def () -> A -- Lambdas -- ------- [case testLambdaWithTypeInferredFromContext] from typing import Callable f = lambda x: x.a # type: Callable[[B], A] class A: pass class B: a = None # type: A [out] LambdaExpr(2) : def (x: B) -> A MemberExpr(2) : A NameExpr(2) : B [case testLambdaWithInferredType] ## LambdaExpr|NameExpr import typing f = lambda: 1 [out] LambdaExpr(3) : def () -> Literal[1]? NameExpr(3) : def () -> builtins.int [case testLambdaWithInferredType2] ## LambdaExpr|NameExpr import typing f = lambda: [1] [builtins fixtures/list.pyi] [out] LambdaExpr(3) : def () -> builtins.list[builtins.int] NameExpr(3) : def () -> builtins.list[builtins.int] [case testLambdaWithInferredType3] from typing import List, Callable f = lambda x: [] # type: Callable[[B], List[A]] class A: pass class B: a = None # type: A [builtins fixtures/list.pyi] [out] LambdaExpr(2) : def (x: B) -> builtins.list[A] ListExpr(2) : builtins.list[A] [case testLambdaAndHigherOrderFunction] from typing import TypeVar, Callable, List t = TypeVar('t') s = TypeVar('s') def map(f: Callable[[t], s], a: List[t]) -> List[s]: pass class A: pass class B: pass def f(a: A) -> B: pass l = None # type: List[A] map( lambda x: f(x), l) [builtins fixtures/list.pyi] [out] CallExpr(9) : builtins.list[B] NameExpr(9) : def (f: def (A) -> B, a: builtins.list[A]) -> builtins.list[B] CallExpr(10) : B LambdaExpr(10) : def (x: A) -> B NameExpr(10) : def (a: A) -> B NameExpr(10) : builtins.list[A] NameExpr(10) : A [case testLambdaAndHigherOrderFunction2] ## LambdaExpr|NameExpr|ListExpr from typing import TypeVar, List, Callable t = TypeVar('t') s = TypeVar('s') def map(f: Callable[[t], List[s]], a: List[t]) -> List[s]: pass class A: pass class B: pass def f(a: A) -> B: pass l = None # type: List[A] map( lambda x: [f(x)], l) [builtins fixtures/list.pyi] [out] NameExpr(10) : def (f: def (A) -> builtins.list[B], a: builtins.list[A]) -> builtins.list[B] LambdaExpr(11) : def (x: A) -> builtins.list[B] ListExpr(11) : builtins.list[B] NameExpr(11) : def (a: A) -> B NameExpr(11) : builtins.list[A] NameExpr(11) : A [case testLambdaInListAndHigherOrderFunction] from typing import TypeVar, Callable, List t = TypeVar('t') s = TypeVar('s') def map(f: List[Callable[[t], s]], a: List[t]) -> List[s]: pass class A: pass l = None # type: List[A] map( [lambda x: x], l) [builtins fixtures/list.pyi] [out] -- TODO We probably should not silently infer 'Any' types in statically typed -- context. Perhaps just fail instead? CallExpr(7) : builtins.list[Any] NameExpr(7) : def (f: builtins.list[def (A) -> Any], a: builtins.list[A]) -> builtins.list[Any] LambdaExpr(8) : def (x: A) -> A ListExpr(8) : builtins.list[def (A) -> Any] NameExpr(8) : A NameExpr(9) : builtins.list[A] [case testLambdaAndHigherOrderFunction3] from typing import TypeVar, Callable, List t = TypeVar('t') s = TypeVar('s') def map(f: Callable[[t], s], a: List[t]) -> List[s]: pass class A: b = None # type: B class B: pass l = None # type: List[A] map( lambda x: x.b, l) [builtins fixtures/list.pyi] [out] CallExpr(9) : builtins.list[B] NameExpr(9) : def (f: def (A) -> B, a: builtins.list[A]) -> builtins.list[B] LambdaExpr(10) : def (x: A) -> B MemberExpr(10) : B NameExpr(10) : A NameExpr(11) : builtins.list[A] [case testLambdaAndHigherOrderFunctionAndKeywordArgs] from typing import TypeVar, Callable, List t = TypeVar('t') s = TypeVar('s') def map(f: Callable[[t], s], a: List[t]) -> List[s]: pass class A: b = None # type: B class B: pass l = None # type: List[A] map( a=l, f=lambda x: x.b) [builtins fixtures/list.pyi] [out] CallExpr(9) : builtins.list[B] NameExpr(9) : def (f: def (A) -> B, a: builtins.list[A]) -> builtins.list[B] NameExpr(10) : builtins.list[A] LambdaExpr(11) : def (x: A) -> B MemberExpr(11) : B NameExpr(11) : A -- Boolean operations -- ------------------ [case testBooleanOr] from typing import List a = None # type: List[A] a or [] a = a or [] if int(): a = [] or a class A: pass [builtins fixtures/list.pyi] [out] ListExpr(3) : builtins.list[A] NameExpr(3) : builtins.list[A] OpExpr(3) : builtins.list[A] ListExpr(4) : builtins.list[A] NameExpr(4) : builtins.list[A] NameExpr(4) : builtins.list[A] OpExpr(4) : builtins.list[A] CallExpr(5) : builtins.int NameExpr(5) : def () -> builtins.int ListExpr(6) : builtins.list[A] NameExpr(6) : builtins.list[A] NameExpr(6) : builtins.list[A] OpExpr(6) : builtins.list[A] -- Class attributes -- ---------------- [case testUnboundMethod] ## MemberExpr import typing class A: def f(self) -> None: pass A.f [out] MemberExpr(5) : def (self: A) [case testUnboundMethodWithImplicitSig] ## MemberExpr import typing class A: def f(self): pass A.f [out] MemberExpr(5) : def (self: A) -> Any [case testOverloadedUnboundMethod] ## MemberExpr from typing import overload class A: @overload def f(self) -> None: pass @overload def f(self, __x: object) -> None: pass def f(self, *args) -> None: pass A.f [builtins fixtures/tuple.pyi] [out] MemberExpr(10) : Overload(def (self: A), def (self: A, builtins.object)) [case testOverloadedUnboundMethodWithImplicitSig] ## MemberExpr from typing import overload class A: @overload def f(self): pass @overload def f(self, __x): pass def f(self, *args): pass A.f [builtins fixtures/tuple.pyi] [out] MemberExpr(10) : Overload(def (self: A) -> Any, def (self: A, Any) -> Any) [case testUnboundMethodWithInheritance] ## MemberExpr import typing class A: def __init__(self) -> None: pass def f(self) -> None: pass class B(A): pass B.f [out] MemberExpr(8) : def (self: A) [case testUnboundGenericMethod] ## MemberExpr from typing import TypeVar t = TypeVar('t') class B: pass class A: def f(self, x: t) -> None: pass A.f(A(), B()) [out] MemberExpr(7) : def (self: A, x: B) [case testUnboundMethodOfGenericClass] ## MemberExpr from typing import TypeVar, Generic t = TypeVar('t') class B: pass class A(Generic[t]): def f(self, x: t) -> None: pass A.f a_b = A() # type: A[B] A.f(a_b, B()) [out] MemberExpr(7) : def [t] (self: A[t`1], x: t`1) MemberExpr(9) : def (self: A[B], x: B) [case testUnboundOverloadedMethodOfGenericClass] ## CallExpr from typing import TypeVar, Generic, overload t = TypeVar('t') class B: pass class A(Generic[t]): @overload def f(self, x: t) -> t: pass @overload def f(self) -> object: pass def f(self, *args): pass ab, b = None, None # type: (A[B], B) A.f(ab, b) [builtins fixtures/tuple.pyi] [out] CallExpr(13) : B [case testUnboundMethodOfGenericClassWithImplicitSig] ## MemberExpr from typing import TypeVar, Generic t = TypeVar('t') class B: pass class A(Generic[t]): def f(self, x): pass A.f(None, None) [out] MemberExpr(7) : def (self: A[t`1], x: Any) -> Any [case testGenericMethodOfGenericClass] ## MemberExpr from typing import TypeVar, Generic t = TypeVar('t') s = TypeVar('s') class B: pass class A(Generic[t]): def f(self, y: s) -> None: pass ab = None # type: A[B] o = None # type: object A.f(ab, o) [out] MemberExpr(10) : def (self: A[B], y: builtins.object) -- Type variables with value restriction -- ------------------------------------- [case testTypeVariableWithValueRestriction] ## NameExpr from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> None: pass f(1) f('x') [out] NameExpr(5) : def (x: builtins.int) NameExpr(6) : def (x: builtins.str) [case testTypeVariableWithValueRestrictionAndSubtype] ## NameExpr|CallExpr from typing import TypeVar T = TypeVar('T', int, str) def f(x: T) -> T: pass class S(str): pass s = None # type: S f(s) [out] CallExpr(7) : builtins.str NameExpr(7) : def (x: builtins.str) -> builtins.str NameExpr(7) : S [case testTypeVariableWithValueRestrictionInFunction] ## NameExpr from typing import TypeVar T = TypeVar("T", int, str) def f(x: T) -> T: y = 1 return x [out] NameExpr(7) : builtins.int NameExpr(7) : builtins.int NameExpr(8) : builtins.int NameExpr(8) : builtins.str -- Binary operations -- ----------------- [case testBinaryOperatorWithAnyLeftOperand] ## OpExpr from typing import Any, cast class B: def __add__(self, x: int) -> str: pass class A: def __radd__(self, x: B) -> int: pass cast(Any, 1) + A() B() + A() [out] OpExpr(7) : Any OpExpr(8) : builtins.int [case testBinaryOperatorWithAnyRightOperand] ## OpExpr from typing import Any, cast class A: def __add__(self, x: str) -> int: pass A() + cast(Any, 1) [out] OpExpr(5) : Any -- Callable overloading -- -------------------- [case testOverloadedFunctionType] ## CallExpr from typing import overload @overload def f(x: int) -> str: pass @overload def f(x: str) -> int: pass def f(x): pass f(1) f('') [out] CallExpr(8) : builtins.str CallExpr(9) : builtins.int [case testOverlappingOverloadedFunctionType] ## CallExpr from typing import overload, Any class A: pass class B(A): pass @overload def f(x: B) -> B: pass @overload def f(x: A) -> A: pass def f(x) -> Any: pass a = None # type: A b = None # type: B f(a) f(b) [out] CallExpr(14) : A CallExpr(15) : B [case testOverloadedErasedType] from typing import Callable from typing import List from typing import overload from typing import TypeVar T = TypeVar("T") V = TypeVar("V") def fun(s: int) -> int: pass def m(fun: Callable[[T], V], iter: List[T]) -> None: pass nums = [1] # type: List[int] m(fun, nums) [builtins fixtures/list.pyi] [out] IntExpr(13) : Literal[1]? ListExpr(13) : builtins.list[builtins.int] CallExpr(14) : None NameExpr(14) : def (s: builtins.int) -> builtins.int NameExpr(14) : def (fun: def (builtins.int) -> builtins.int, iter: builtins.list[builtins.int]) NameExpr(15) : builtins.list[builtins.int] -- Special cases -- ------------- [case testImplicitDataAttributeInit] ## NameExpr import typing class A: def __init__(self) -> None: self.x = ( A()) [out] NameExpr(5) : A NameExpr(6) : def () -> A [case testListMultiplicationInContext] ## ListExpr|OpExpr|IntExpr from typing import List a = [None] * 3 # type: List[str] [builtins fixtures/list.pyi] [out] IntExpr(3) : Literal[3]? ListExpr(3) : builtins.list[builtins.str] OpExpr(3) : builtins.list[builtins.str] [case testStringFormatting] ## IntExpr|OpExpr|StrExpr '%d' % 1 [builtins fixtures/primitives.pyi] [typing fixtures/typing-medium.pyi] [out] IntExpr(2) : Literal[1]? OpExpr(2) : builtins.str StrExpr(2) : Literal['%d']? [case testExportOverloadArgType] ## LambdaExpr|NameExpr from typing import List, overload, Callable @overload def f(x: int, f: Callable[[int], int]) -> None: ... @overload def f(x: str, f: Callable[[str], str]) -> None: ... def f(x): ... f( 1, lambda x: x) [builtins fixtures/list.pyi] [out] NameExpr(8) : Overload(def (x: builtins.int, f: def (builtins.int) -> builtins.int), def (x: builtins.str, f: def (builtins.str) -> builtins.str)) LambdaExpr(9) : def (x: builtins.int) -> builtins.int NameExpr(9) : builtins.int [case testExportOverloadArgTypeNested] ## LambdaExpr from typing import overload, Callable @overload def f(x: int, f: Callable[[int], int]) -> int: ... @overload def f(x: str, f: Callable[[str], str]) -> str: ... def f(x): ... f( f(1, lambda y: y), lambda x: x) f( f('x', lambda y: y), lambda x: x) [builtins fixtures/list.pyi] [out] LambdaExpr(9) : def (y: builtins.int) -> builtins.int LambdaExpr(10) : def (x: builtins.int) -> builtins.int LambdaExpr(12) : def (y: builtins.str) -> builtins.str LambdaExpr(13) : def (x: builtins.str) -> builtins.str [case testExportOverloadArgTypeDict] ## DictExpr from typing import TypeVar, Generic, Any, overload, Dict T = TypeVar("T") class Key(Generic[T]): ... @overload def f(x: Key[T], y: T) -> T: ... @overload def f(x: int, y: Any) -> Any: ... def f(x, y): ... d: Dict = {} d.get( "", {}) f( 2, {}) [builtins fixtures/dict.pyi] [out] DictExpr(10) : builtins.dict[Any, Any] DictExpr(12) : builtins.dict[Any, Any] DictExpr(14) : builtins.dict[Any, Any] -- TODO -- -- test expressions -- list literal -- tuple literal -- unary minus -- indexing -- super expression -- more complex lambda (multiple arguments etc.) -- list comprehension -- generator expression -- other things -- type inference -- default argument value -- for loop variable -- exception variable -- varargs -- generics -- explicit types -- type of 'None' (currently stripped, but sometimes we may want to dump it) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-requirements.in0000644000175100017510000000121715112307767016310 0ustar00runnerrunner# If you change this file (or mypy-requirements.txt or build-requirements.txt), please run: # pip-compile --output-file=test-requirements.txt --strip-extras --allow-unsafe test-requirements.in -r mypy-requirements.txt -r build-requirements.txt attrs>=18.0 filelock>=3.3.0,<3.20.0 # latest version is not available on 3.9 that we still support lxml>=5.3.0; python_version<'3.15' psutil>=4.0 pytest>=8.1.0 pytest-xdist>=1.34.0 pytest-cov>=2.10.0 setuptools>=75.1.0 tomli>=1.1.0 # needed even on py311+ so the self check passes with --python-version 3.9 pre_commit>=3.5.0 platformdirs<4.5.0 # latest version is not available on 3.9 that we still support ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/test-requirements.txt0000644000175100017510000000334615112307767016526 0ustar00runnerrunner# # This file is autogenerated by pip-compile with Python 3.13 # by the following command: # # pip-compile --allow-unsafe --output-file=test-requirements.txt --strip-extras test-requirements.in # attrs==25.4.0 # via -r test-requirements.in cfgv==3.4.0 # via pre-commit coverage==7.10.7 # via pytest-cov distlib==0.4.0 # via virtualenv execnet==2.1.1 # via pytest-xdist filelock==3.19.1 # via # -r test-requirements.in # virtualenv identify==2.6.15 # via pre-commit iniconfig==2.1.0 # via pytest librt==0.6.2 # via -r mypy-requirements.txt lxml==6.0.2 ; python_version < "3.15" # via -r test-requirements.in mypy-extensions==1.1.0 # via -r mypy-requirements.txt nodeenv==1.9.1 # via pre-commit packaging==25.0 # via pytest pathspec==0.12.1 # via -r mypy-requirements.txt platformdirs==4.4.0 # via # -r test-requirements.in # virtualenv pluggy==1.6.0 # via # pytest # pytest-cov pre-commit==4.3.0 # via -r test-requirements.in psutil==7.1.0 # via -r test-requirements.in pygments==2.19.2 # via pytest pytest==8.4.2 # via # -r test-requirements.in # pytest-cov # pytest-xdist pytest-cov==7.0.0 # via -r test-requirements.in pytest-xdist==3.8.0 # via -r test-requirements.in pyyaml==6.0.3 # via pre-commit tomli==2.3.0 # via -r test-requirements.in types-psutil==7.0.0.20251001 # via -r build-requirements.txt types-setuptools==80.9.0.20250822 # via -r build-requirements.txt typing-extensions==4.15.0 # via -r mypy-requirements.txt virtualenv==20.34.0 # via pre-commit # The following packages are considered to be unsafe in a requirements file: setuptools==80.9.0 # via -r test-requirements.in ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1764331511.0 mypy-1.19.0/tox.ini0000644000175100017510000000337515112307767013602 0ustar00runnerrunner[tox] minversion = 4.4.4 skip_missing_interpreters = {env:TOX_SKIP_MISSING_INTERPRETERS:True} envlist = py38, py39, py310, py311, py312, py313, py314, docs, lint, type, isolated_build = true [testenv] description = run the test driver with {basepython} passenv = PROGRAMDATA PROGRAMFILES(X86) PYTEST_ADDOPTS PYTEST_XDIST_WORKER_COUNT PYTHON_COLORS deps = -r test-requirements.txt # This is a bit of a hack, but ensures the faster-cache path is tested in CI orjson;python_version=='3.12' commands = python -m pytest {posargs} [testenv:dev] description = generate a DEV environment, that has all project libraries usedevelop = True deps = -r test-requirements.txt -r docs/requirements-docs.txt commands = python -m pip list --format=columns python -c 'import sys; print(sys.executable)' {posargs} [testenv:docs] description = invoke sphinx-build to build the HTML docs passenv = VERIFY_MYPY_ERROR_CODES deps = -r docs/requirements-docs.txt commands = sphinx-build -n -d "{toxworkdir}/docs_doctree" docs/source "{toxworkdir}/docs_out" --color -W -bhtml {posargs} python -c 'import pathlib; print("documentation available under file://\{0\}".format(pathlib.Path(r"{toxworkdir}") / "docs_out" / "index.html"))' [testenv:lint] description = check the code style skip_install = true deps = pre-commit commands = pre-commit run --all-files --show-diff-on-failure [testenv:type] description = type check ourselves passenv = TERM MYPY_FORCE_COLOR MYPY_FORCE_TERMINAL_WIDTH commands = python runtests.py self python -m mypy --config-file mypy_self_check.ini misc --exclude misc/sync-typeshed.py python -m mypy --config-file mypy_self_check.ini test-data/unit/plugins